(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 13.1' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 3455845, 60132] NotebookOptionsPosition[ 3277479, 56713] NotebookOutlinePosition[ 3419171, 59368] CellTagsIndexPosition[ 3417270, 59318] WindowTitle->RandomMandala | Definition Notebook WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["RandomMandala", "Title", CellTags->{"Name", "TemplateCell", "Title"}, CellID->352376887], Cell["Make random mandala plots", "Text", CellTags->{"Description", "TemplateCell"}, CellID->101625758], Cell[CellGroupData[{ Cell[TextData[{ "Definition", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Function", Cell[ BoxData[ FrameBox[ Cell[ "Define your function using the name you gave in the Title line \ above. You can add input cells and extra code to define additional input \ cases or prerequisites. All definitions, including dependencies, will be \ included in the generated resource function.\n\nThis section should be \ evaluated before creating the Examples section below.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoFunction"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Function"}, DefaultNewCellStyle->"Input", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "MakeSeedSegment", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"MakeSeedSegment", "[", RowBox[{"radius_", ",", "angle_", ",", RowBox[{"n_Integer", ":", "10"}], ",", RowBox[{"connectingFunc_", ":", "Polygon"}], ",", RowBox[{"keepGridPoints_", ":", "False"}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", "t", "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"t", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"Point", "[", RowBox[{"{", RowBox[{ RowBox[{"radius", "*", "r", "*", RowBox[{"{", RowBox[{ RowBox[{"Cos", "[", "angle", "]"}], ",", RowBox[{"Sin", "[", "angle", "]"}]}], "}"}]}], ",", RowBox[{"{", RowBox[{ RowBox[{"radius", "*", "r"}], ",", "0"}], "}"}]}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "1", ",", RowBox[{"1", "/", "n"}]}], "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Join", "[", RowBox[{ RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", "keepGridPoints", "]"}], ",", "t", ",", RowBox[{"{", "}"}]}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"GrayLevel", "[", "0.25", "]"}], ",", RowBox[{"connectingFunc", "@", RowBox[{"RandomSample", "[", RowBox[{"Flatten", "[", RowBox[{ RowBox[{"t", "/.", RowBox[{ RowBox[{"Point", "[", RowBox[{"{", RowBox[{"x_", ",", "y_"}], "}"}], "]"}], "\[RuleDelayed]", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}]}], ",", "1"}], "]"}], "]"}]}]}], "}"}]}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.695247608834527*^9, 3.695247688948646*^9}, { 3.695247740486519*^9, 3.695247748787524*^9}, {3.695248200834244*^9, 3.695248219644912*^9}, {3.69524830101731*^9, 3.695248303029666*^9}, { 3.695248651560013*^9, 3.695248692622301*^9}, 3.695249141614985*^9, 3.6952616280819283`*^9, {3.6952952072964077`*^9, 3.695295242491837*^9}, { 3.779208777054577*^9, 3.7792087781559*^9}, {3.7792649196690207`*^9, 3.779264926809774*^9}, {3.8591252310105677`*^9, 3.859125240094833*^9}, { 3.859125550106722*^9, 3.859125550445031*^9}}, CellLabel->"In[1]:=", CellID->535019183], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "MakeSymmetric", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"MakeSymmetric", "[", "seed_", "]"}], ":=", RowBox[{"{", RowBox[{"seed", ",", RowBox[{"GeometricTransformation", "[", RowBox[{"seed", ",", RowBox[{"ReflectionTransform", "[", RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}], "]"}]}], "]"}]}], "}"}]}], ";"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.6952499365942574`*^9, 3.695250016370844*^9}, { 3.6952500564095507`*^9, 3.695250091113983*^9}, {3.69525013355013*^9, 3.695250143371181*^9}, {3.695250323553672*^9, 3.695250403485111*^9}, { 3.695250694698203*^9, 3.695250724732189*^9}, {3.695252798863687*^9, 3.6952528179874067`*^9}, 3.7792087756031017`*^9}, CellLabel->"In[3]:=", CellID->56672292], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "MakeMandala", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"MakeMandala", "[", RowBox[{"opts", ":", RowBox[{"OptionsPattern", "[", "]"}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"MakeMandala", "[", RowBox[{ RowBox[{"MakeSymmetric", "[", RowBox[{"MakeSeedSegment", "[", RowBox[{"10", ",", RowBox[{"\[Pi]", "/", "12"}], ",", "12", ",", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"Line", ",", "Polygon", ",", "BezierCurve", ",", RowBox[{ RowBox[{"FilledCurve", "[", RowBox[{"BezierCurve", "[", "#", "]"}], "]"}], "&"}]}], "}"}], "]"}], ",", "False"}], "]"}], "]"}], ",", RowBox[{"\[Pi]", "/", "6"}], ",", "opts"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"MakeMandala", "[", RowBox[{"seed_", ",", RowBox[{"angle_", "?", "NumericQ"}], ",", RowBox[{"opts", ":", RowBox[{"OptionsPattern", "[", "]"}]}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{ RowBox[{"Mod", "[", RowBox[{"angle", ",", RowBox[{"2", "\[Pi]"}]}], "]"}], "\[Equal]", "0"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"Message", "[", RowBox[{"RandomMandala", "::", "zeroa"}], "]"}], ";", "$Failed"}], ",", "\[IndentingNewLine]", RowBox[{"Graphics", "[", RowBox[{ RowBox[{"GeometricTransformation", "[", RowBox[{"seed", ",", RowBox[{"Table", "[", RowBox[{ RowBox[{"RotationMatrix", "[", "a", "]"}], ",", RowBox[{"{", RowBox[{"a", ",", "0", ",", RowBox[{ RowBox[{"2", "\[Pi]"}], "-", RowBox[{"Mod", "[", RowBox[{"angle", ",", RowBox[{"2", "\[Pi]"}]}], "]"}]}], ",", RowBox[{"Mod", "[", RowBox[{"angle", ",", RowBox[{"2", "\[Pi]"}]}], "]"}]}], "}"}]}], "]"}]}], "]"}], ",", "opts"}], "]"}]}], "\[IndentingNewLine]", "]"}]}], ";"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.695247779852276*^9, 3.695247943763608*^9}, { 3.695247986359975*^9, 3.695247990941917*^9}, {3.695248266962071*^9, 3.695248297664145*^9}, {3.695248448327593*^9, 3.6952484562235317`*^9}, { 3.695248816712*^9, 3.6952488759321947`*^9}, {3.6952509878622637`*^9, 3.6952510206687613`*^9}, {3.695251068277595*^9, 3.6952511094428368`*^9}, { 3.695251608780675*^9, 3.69525164433225*^9}, {3.695251846393911*^9, 3.695251859207601*^9}, {3.695252020041128*^9, 3.695252024483486*^9}, 3.6952520940422373`*^9, 3.695261659480897*^9, {3.695262586036075*^9, 3.695262589737647*^9}, {3.69526303289018*^9, 3.695263033080852*^9}, { 3.695263328486271*^9, 3.695263346328897*^9}, 3.6952645281932087`*^9, { 3.6952955766700897`*^9, 3.695295578142789*^9}, {3.695295996907536*^9, 3.695295997739851*^9}, {3.695296035522781*^9, 3.6952960451816187`*^9}, { 3.779209900981441*^9, 3.7792099021160316`*^9}, {3.779210099854669*^9, 3.779210100256907*^9}, {3.7792513355772142`*^9, 3.779251347444737*^9}, { 3.7792570325933104`*^9, 3.7792570475878143`*^9}, {3.779257133798553*^9, 3.7792571782358418`*^9}, 3.859119597771283*^9, {3.859124629059392*^9, 3.859124654166397*^9}, 3.859124913890664*^9}, CellLabel->"In[5]:=", CellID->120434419], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "ColorizeMandala", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"ColorizeMandala", "[", RowBox[{"mandala_Graphics", ",", "colorFuncName_String"}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"ColorizeMandala", "[", RowBox[{"mandala", ",", RowBox[{"ColorData", "[", RowBox[{"colorFuncName", ",", "\"\\""}], "]"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"ColorizeMandala", "[", RowBox[{"mandala_Graphics", ",", "colorFunc_ColorDataFunction"}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", "cols", "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"cols", "=", RowBox[{"colorFunc", "/@", RowBox[{"Range", "[", RowBox[{"0", ",", "1", ",", "0.1"}], "]"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"ColorizeMandala", "[", RowBox[{"mandala", ",", "cols"}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"ColorizeMandala", "[", RowBox[{"mandala_Graphics", ",", "col_RGBColor"}], "]"}], ":=", RowBox[{"ColorizeMandala", "[", RowBox[{"mandala", ",", RowBox[{"{", "col", "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"ColorizeMandala", "[", RowBox[{"mandala_Graphics", ",", RowBox[{"cols", ":", RowBox[{"{", RowBox[{"_RGBColor", ".."}], "}"}]}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", "}"}], ",", "\[IndentingNewLine]", RowBox[{"mandala", "/.", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"FilledCurve", "[", "x___", "]"}], "\[RuleDelayed]", RowBox[{"{", RowBox[{ RowBox[{"FaceForm", "[", RowBox[{"RandomChoice", "[", "cols", "]"}], "]"}], ",", RowBox[{"FilledCurve", "[", "x", "]"}]}], "}"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"Polygon", "[", "x___", "]"}], "\[RuleDelayed]", RowBox[{"{", RowBox[{ RowBox[{"FaceForm", "[", RowBox[{"RandomChoice", "[", "cols", "]"}], "]"}], ",", RowBox[{"Polygon", "[", "x", "]"}]}], "}"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"Line", "[", "x___", "]"}], "\[RuleDelayed]", RowBox[{"{", RowBox[{ RowBox[{"RandomChoice", "[", "cols", "]"}], ",", RowBox[{"Line", "[", "x", "]"}]}], "}"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"BezierCurve", "[", "x___", "]"}], "\[RuleDelayed]", RowBox[{"{", RowBox[{ RowBox[{"RandomChoice", "[", "cols", "]"}], ",", RowBox[{"BezierCurve", "[", "x", "]"}]}], "}"}]}]}], "\[IndentingNewLine]", "}"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"ColorizeMandala", "[", RowBox[{"mandala_Graphics", ",", "___"}], "]"}], ":=", "mandala"}], ";"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.779530508949201*^9, 3.779530513864477*^9}, { 3.779530638191552*^9, 3.779530691846704*^9}, {3.779551467657506*^9, 3.779551515975642*^9}, {3.779551551953815*^9, 3.7795516006653967`*^9}, { 3.779551759677599*^9, 3.779551763973611*^9}, {3.779551875408444*^9, 3.7795518816835947`*^9}, {3.779552047446056*^9, 3.779552048242494*^9}, { 3.779553682099478*^9, 3.779553712362566*^9}, {3.780397177450379*^9, 3.780397182813395*^9}, {3.780400228732912*^9, 3.780400230508951*^9}, { 3.780400294309824*^9, 3.780400297315612*^9}, {3.780400360146806*^9, 3.780400370089611*^9}}, CellLabel->"In[8]:=", CellID->595482800], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "ModifyForms", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"ModifyForms", "[", RowBox[{"ff_", ",", "ef_"}], "]"}], "[", "gr_Graphics", "]"}], ":=", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"ListQ", "[", RowBox[{"gr", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"ReplacePart", "[", RowBox[{"gr", ",", RowBox[{"1", "->", RowBox[{"Join", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"FaceForm", "[", "ff", "]"}], ",", RowBox[{"EdgeForm", "[", "ef", "]"}]}], "}"}], ",", RowBox[{ "gr", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "]"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"ReplacePart", "[", RowBox[{"gr", ",", RowBox[{"1", "->", RowBox[{"{", RowBox[{ RowBox[{"FaceForm", "[", "ff", "]"}], ",", RowBox[{"EdgeForm", "[", "ef", "]"}], ",", RowBox[{ "gr", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "}"}]}]}], "]"}]}], "\[IndentingNewLine]", "]"}]}], ";"}]}], "Input",\ TaggingRules->{}, CellChangeTimes->{{3.8485060315070467`*^9, 3.848506035759363*^9}, { 3.848506116558591*^9, 3.8485061195738173`*^9}, {3.848506489379223*^9, 3.848506549106094*^9}, 3.859194157560039*^9}, CellLabel->"In[10]:=", CellID->452877568], Cell[BoxData[ RowBox[{ RowBox[{"Clear", "[", "RandomMandala", "]"}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.695247779852276*^9, 3.695247943763608*^9}, { 3.695247986359975*^9, 3.695247990941917*^9}, {3.695248266962071*^9, 3.695248297664145*^9}, {3.695248448327593*^9, 3.6952484562235317`*^9}, { 3.695248816712*^9, 3.6952488759321947`*^9}, {3.6952509878622637`*^9, 3.6952510206687613`*^9}, {3.695251068277595*^9, 3.6952511094428368`*^9}, { 3.695251608780675*^9, 3.69525164433225*^9}, {3.695251846393911*^9, 3.695251859207601*^9}, {3.695252020041128*^9, 3.695252024483486*^9}, 3.6952520940422373`*^9, 3.695261659480897*^9, {3.695262586036075*^9, 3.695262589737647*^9}, {3.69526303289018*^9, 3.695263033080852*^9}, { 3.695263328486271*^9, 3.695263346328897*^9}, 3.6952645281932087`*^9, { 3.6952955766700897`*^9, 3.695295578142789*^9}, {3.695295996907536*^9, 3.695295997739851*^9}, {3.695296035522781*^9, 3.6952960451816187`*^9}, { 3.7792090179664392`*^9, 3.7792090302775507`*^9}, {3.7792090892226887`*^9, 3.779209100202937*^9}, {3.77920916598263*^9, 3.779209587764409*^9}, { 3.779209745381796*^9, 3.779209760522246*^9}, {3.779209868614072*^9, 3.7792098844924717`*^9}, {3.779209965333282*^9, 3.779210001410881*^9}, { 3.779210123458024*^9, 3.7792101489732323`*^9}, {3.779215460365892*^9, 3.779215460367449*^9}, {3.779215512003118*^9, 3.779215515094359*^9}, { 3.779216258193989*^9, 3.779216304790779*^9}}, CellLabel->"In[16]:=", CellID->692813020], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"RandomMandala", "::", "ipopt"}], "=", "\"\\""}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.77921630681887*^9, 3.779216371862569*^9}, { 3.779252087130287*^9, 3.779252089457347*^9}}, CellLabel->"In[17]:=", CellID->431704508], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"RandomMandala", "::", "rpopt"}], "=", "\"\\""}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792163526360826`*^9, 3.779216374259025*^9}, { 3.779252093621643*^9, 3.779252095791271*^9}, {3.780351993723178*^9, 3.780352007706156*^9}}, CellLabel->"In[18]:=", CellID->105854917], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"RandomMandala", "::", "zeroa"}], "=", "\"\\""}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792163526360826`*^9, 3.779216374259025*^9}, { 3.779252093621643*^9, 3.779252095791271*^9}, {3.779257191018009*^9, 3.779257212818903*^9}}, CellLabel->"In[19]:=", CellID->702111951], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"SyntaxInformation", "[", "RandomMandala", "]"}], "=", RowBox[{"{", RowBox[{"\"\\"", "->", RowBox[{"{", RowBox[{"OptionsPattern", "[", "]"}], "}"}]}], "}"}]}], ";"}]], "Input",\ TaggingRules->{}, CellChangeTimes->{{3.695247779852276*^9, 3.695247943763608*^9}, { 3.695247986359975*^9, 3.695247990941917*^9}, {3.695248266962071*^9, 3.695248297664145*^9}, {3.695248448327593*^9, 3.6952484562235317`*^9}, { 3.695248816712*^9, 3.6952488759321947`*^9}, {3.6952509878622637`*^9, 3.6952510206687613`*^9}, {3.695251068277595*^9, 3.6952511094428368`*^9}, { 3.695251608780675*^9, 3.69525164433225*^9}, {3.695251846393911*^9, 3.695251859207601*^9}, {3.695252020041128*^9, 3.695252024483486*^9}, 3.6952520940422373`*^9, 3.695261659480897*^9, {3.695262586036075*^9, 3.695262589737647*^9}, {3.69526303289018*^9, 3.695263033080852*^9}, { 3.695263328486271*^9, 3.695263346328897*^9}, 3.6952645281932087`*^9, { 3.6952955766700897`*^9, 3.695295578142789*^9}, {3.695295996907536*^9, 3.695295997739851*^9}, {3.695296035522781*^9, 3.6952960451816187`*^9}, { 3.7792090179664392`*^9, 3.7792090302775507`*^9}, {3.7792090892226887`*^9, 3.779209100202937*^9}, {3.77920916598263*^9, 3.779209587764409*^9}, { 3.779209745381796*^9, 3.779209760522246*^9}, {3.779209868614072*^9, 3.7792098844924717`*^9}, {3.779209965333282*^9, 3.779210001410881*^9}, { 3.779210123458024*^9, 3.7792101489732323`*^9}, {3.779215460365892*^9, 3.779215460367449*^9}, {3.779215512003118*^9, 3.779215515094359*^9}, { 3.779216258193989*^9, 3.779216304790779*^9}}, CellLabel->"In[20]:=", CellID->609805894], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Options", "[", "RandomMandala", "]"}], "=", RowBox[{"Join", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "10"}], ",", RowBox[{"\"\\"", "\[Rule]", "6"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Random"}], ",", RowBox[{"\"\\"", "\[Rule]", "False"}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"ColorFunction", "\[Rule]", "None"}], ",", RowBox[{"FaceForm", "->", RowBox[{"{", "}"}]}], ",", RowBox[{"EdgeForm", "->", RowBox[{"{", "}"}]}], ",", RowBox[{"\"\\"", "->", "Automatic"}]}], "}"}], ",", RowBox[{"Options", "[", "Graphics", "]"}]}], "]"}]}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.780399851817832*^9, 3.7803998530093718`*^9}, { 3.8485059655363407`*^9, 3.8485059877774477`*^9}, {3.8591246980062923`*^9, 3.859124726279779*^9}, {3.859124890123046*^9, 3.859124892509297*^9}, 3.8591296054909763`*^9}, CellLabel->"In[21]:=", CellID->55290228], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{"opts", ":", RowBox[{"OptionsPattern", "[", "]"}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{ "radius", ",", "rotOrder", ",", "angle", ",", "nElems", ",", "connectingFunc", ",", "keepGridPointsQ", ",", "symmetricQ", ",", "colorFunc", ",", "seedFunc", ",", "seed", ",", "res", ",", "faceForm", ",", "edgeForm"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"radius", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"VectorQ", "[", RowBox[{"radius", ",", "NumericQ"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Return", "[", RowBox[{"RandomMultiMandala", "[", "opts", "]"}], "]"}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"radius", "===", "Automatic"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Return", "[", RowBox[{"RandomMultiMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Reverse", "[", RowBox[{"Rescale", "[", RowBox[{ RowBox[{"Range", "[", "4", "]"}], ",", RowBox[{"{", RowBox[{"0", ",", "10"}], "}"}]}], "]"}], "]"}]}], ",", "opts"}], "]"}], "]"}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"!", RowBox[{"(", RowBox[{ RowBox[{"NumericQ", "[", "radius", "]"}], "&&", RowBox[{"radius", ">", "0"}]}], ")"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ "ResourceFunction", "[", "\"\\"", "]"}], "[", RowBox[{ RowBox[{"RandomMandala", "::", "rpopt"}], ",", "\"\\""}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", "$Failed", "]"}]}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"rotOrder", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"!", RowBox[{"(", RowBox[{ RowBox[{"NumericQ", "[", "rotOrder", "]"}], "&&", RowBox[{"rotOrder", ">", "0"}]}], ")"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ "ResourceFunction", "[", "\"\\"", "]"}], "[", RowBox[{ RowBox[{"RandomMandala", "::", "rpopt"}], ",", "\"\\""}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", "$Failed", "]"}]}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"nElems", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"nElems", "===", "Automatic"}], "]"}], ",", RowBox[{"nElems", "=", "6"}]}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"!", RowBox[{"(", RowBox[{ RowBox[{"IntegerQ", "[", "nElems", "]"}], "&&", RowBox[{"nElems", ">", "0"}]}], ")"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ "ResourceFunction", "[", "\"\\"", "]"}], "[", RowBox[{ RowBox[{"RandomMandala", "::", "ipopt"}], ",", "\"\\""}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", "$Failed", "]"}]}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"connectingFunc", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"keepGridPointsQ", "=", RowBox[{"TrueQ", "[", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "\"\\""}], "]"}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"symmetricQ", "=", RowBox[{"TrueQ", "[", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "\"\\""}], "]"}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"colorFunc", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "ColorFunction"}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Which", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"connectingFunc", "===", "Random"}], "]"}], ",", RowBox[{"connectingFunc", "=", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"Line", ",", "Polygon", ",", "BezierCurve", ",", RowBox[{ RowBox[{"FilledCurve", "[", RowBox[{"BezierCurve", "[", "#", "]"}], "]"}], "&"}]}], "}"}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"TrueQ", "[", RowBox[{"connectingFunc", "===", "Automatic"}], "]"}], ",", RowBox[{"connectingFunc", "=", RowBox[{ RowBox[{"FilledCurve", "[", RowBox[{"BezierCurve", "[", "#", "]"}], "]"}], "&"}]}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"seedFunc", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"seedFunc", "===", "Automatic"}], "]"}], ",", " ", RowBox[{"seedFunc", "=", "MakeSeedSegment"}]}], "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"seed", "=", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{"symmetricQ", ",", "\[IndentingNewLine]", RowBox[{"MakeSymmetric", "[", RowBox[{"seedFunc", "[", RowBox[{"radius", ",", RowBox[{"\[Pi]", "/", "rotOrder"}], ",", "nElems", ",", "connectingFunc", ",", "keepGridPointsQ"}], "]"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"seedFunc", "[", RowBox[{"radius", ",", RowBox[{"2", RowBox[{"\[Pi]", "/", "rotOrder"}]}], ",", "nElems", ",", "connectingFunc", ",", "keepGridPointsQ"}], "]"}]}], "\[IndentingNewLine]", "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"res", "=", RowBox[{"MakeMandala", "[", RowBox[{"seed", ",", RowBox[{"2", RowBox[{"\[Pi]", "/", "rotOrder"}]}], ",", RowBox[{"FilterRules", "[", RowBox[{ RowBox[{"{", "opts", "}"}], ",", RowBox[{"Options", "[", "Graphics", "]"}]}], "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"res", "=", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"colorFunc", "===", "None"}], "]"}], ",", "\[IndentingNewLine]", "res", ",", "\[IndentingNewLine]", RowBox[{"ColorizeMandala", "[", RowBox[{"res", ",", "colorFunc"}], "]"}]}], "\[IndentingNewLine]", "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"faceForm", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "FaceForm"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"edgeForm", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMandala", ",", "EdgeForm"}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Length", "[", "faceForm", "]"}], ">", "0"}], "||", RowBox[{ RowBox[{"Length", "[", "edgeForm", "]"}], ">", "0"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"ModifyForms", "[", RowBox[{"faceForm", ",", "edgeForm"}], "]"}], "[", "res", "]"}], ",", "\[IndentingNewLine]", "res"}], "\[IndentingNewLine]", "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7803521571002398`*^9, 3.780352319540702*^9}, { 3.7803911899862833`*^9, 3.780391198853726*^9}, 3.7803964407593307`*^9, { 3.7803967665141783`*^9, 3.780396793304659*^9}, 3.78040224184326*^9, { 3.848505559370146*^9, 3.848505577668022*^9}, {3.848506173240547*^9, 3.8485062672008467`*^9}, {3.84850636457381*^9, 3.848506367890484*^9}, { 3.859119577747608*^9, 3.859119580431636*^9}, {3.859124676836568*^9, 3.859124679192182*^9}, {3.859124830241322*^9, 3.859124885337165*^9}, { 3.859125258901885*^9, 3.859125291806086*^9}, {3.859125544554861*^9, 3.8591255467135077`*^9}, 3.8591295766174917`*^9}, CellLabel->"In[22]:=", CellID->302007235], Cell[BoxData[ RowBox[{ RowBox[{"Clear", "[", "RandomMultiMandala", "]"}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.780351838268936*^9, 3.780351986703182*^9}, { 3.780352020308646*^9, 3.780352064723638*^9}, {3.780352109398347*^9, 3.780352130808576*^9}, {3.780352780888913*^9, 3.780352798629896*^9}, { 3.780390861852784*^9, 3.780390902441757*^9}, {3.780395102730707*^9, 3.7803951054436493`*^9}, {3.780395154662032*^9, 3.780395248655085*^9}, { 3.780395298450264*^9, 3.780395301834629*^9}, {3.780396603565196*^9, 3.780396642253642*^9}, 3.7803966837465982`*^9, {3.780398111768958*^9, 3.7803982005500917`*^9}, {3.780398250166478*^9, 3.780398309764447*^9}, { 3.7803984845958*^9, 3.780398490062376*^9}, {3.78039980794316*^9, 3.780399841141591*^9}, 3.780401214744907*^9, {3.780401249204912*^9, 3.780401273323071*^9}}, CellLabel->"In[23]:=", CellID->198344531], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Options", "[", "RandomMultiMandala", "]"}], "=", RowBox[{"Options", "[", "RandomMandala", "]"}]}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.780351838268936*^9, 3.780351986703182*^9}, { 3.780352020308646*^9, 3.780352064723638*^9}, {3.780352109398347*^9, 3.780352130808576*^9}, {3.780352780888913*^9, 3.780352798629896*^9}, { 3.780390861852784*^9, 3.780390902441757*^9}, {3.780395102730707*^9, 3.7803951054436493`*^9}, {3.780395154662032*^9, 3.780395248655085*^9}, { 3.780395298450264*^9, 3.780395301834629*^9}, {3.780396603565196*^9, 3.780396642253642*^9}, 3.7803966837465982`*^9, {3.780398111768958*^9, 3.7803982005500917`*^9}, {3.780398250166478*^9, 3.780398309764447*^9}, { 3.7803984845958*^9, 3.780398490062376*^9}, {3.78039980794316*^9, 3.780399841141591*^9}, 3.780401214744907*^9, {3.780401249204912*^9, 3.780401273323071*^9}}, CellLabel->"In[24]:=", CellID->163513514], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"RandomMultiMandala", "[", RowBox[{"opts", ":", RowBox[{"OptionsPattern", "[", "]"}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{ "radiuses", ",", "rotOrder", ",", "colorFunc", ",", "connectingFunc", ",", "generatedMandalas", ",", "nElems"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"radiuses", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMultiMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"radiuses", "=", RowBox[{"Flatten", "[", RowBox[{"{", "radiuses", "}"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"!", RowBox[{"(", RowBox[{ RowBox[{"VectorQ", "[", RowBox[{"radiuses", ",", "NumericQ"}], "]"}], "&&", RowBox[{"Apply", "[", RowBox[{ RowBox[{ RowBox[{"#", "\[GreaterEqual]", "0"}], "&"}], ",", "radiuses"}], "]"}]}], ")"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"Message", "[", RowBox[{ RowBox[{"RandomMandala", "::", "rpopt"}], ",", "\"\\""}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", "$Failed", "]"}]}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"rotOrder", "=", RowBox[{"OptionValue", "[", RowBox[{ "RandomMultiMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"rotOrder", "=", RowBox[{"Flatten", "[", RowBox[{"{", "rotOrder", "}"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"While", "[", RowBox[{ RowBox[{ RowBox[{"Length", "[", "rotOrder", "]"}], "<", RowBox[{"Length", "[", "radiuses", "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"rotOrder", "=", RowBox[{"Join", "[", RowBox[{"rotOrder", ",", "rotOrder"}], "]"}]}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", RowBox[{"rotOrder", "=", RowBox[{"Take", "[", RowBox[{"rotOrder", ",", RowBox[{"Length", "[", "radiuses", "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"colorFunc", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMultiMandala", ",", "ColorFunction"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"colorFunc", "===", "None"}], "]"}], ",", RowBox[{"colorFunc", "=", "GrayLevel"}]}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"StringQ", "[", "colorFunc", "]"}], ",", RowBox[{"colorFunc", "=", RowBox[{"ColorData", "[", "colorFunc", "]"}]}]}], "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"nElems", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMultiMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"nElems", "===", "Automatic"}], "]"}], ",", RowBox[{"nElems", "=", "3"}]}], "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"connectingFunc", "=", RowBox[{"OptionValue", "[", RowBox[{"RandomMultiMandala", ",", "\"\\""}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Which", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"connectingFunc", "===", "Automatic"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"connectingFunc", "=", RowBox[{"{", RowBox[{"Polygon", ",", RowBox[{"FilledCurve", "@*", "BezierCurve"}]}], "}"}]}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"TrueQ", "[", RowBox[{"connectingFunc", "===", "Random"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"connectingFunc", "=", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"Line", ",", "Polygon", ",", "BezierCurve", ",", RowBox[{ RowBox[{"FilledCurve", "[", RowBox[{"BezierCurve", "[", "#", "]"}], "]"}], "&"}]}], "}"}], "]"}]}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", RowBox[{"connectingFunc", "=", RowBox[{"Flatten", "[", RowBox[{"{", "connectingFunc", "}"}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"generatedMandalas", "=", "\[IndentingNewLine]", RowBox[{"MapThread", "[", RowBox[{ RowBox[{ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", "rm", "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"rm", "=", RowBox[{"RandomMandala", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "#1"}], ",", "\[IndentingNewLine]", RowBox[{"\"\\"", "->", "#3"}], ",", "\[IndentingNewLine]", RowBox[{"\"\\"", "\[Rule]", RowBox[{"If", "[", RowBox[{ RowBox[{ RowBox[{"Length", "[", "connectingFunc", "]"}], "\[Equal]", "1"}], ",", RowBox[{"First", "[", "connectingFunc", "]"}], ",", RowBox[{"RandomChoice", "[", "connectingFunc", "]"}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"\"\\"", "\[Rule]", "nElems"}], ",", "\[IndentingNewLine]", RowBox[{"FilterRules", "[", RowBox[{ RowBox[{"{", "opts", "}"}], ",", RowBox[{"Options", "[", "RandomMandala", "]"}]}], "]"}]}], "\[IndentingNewLine]", "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"rm", "===", "$Failed"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Return", "[", "$Failed", "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"#2", ",", RowBox[{ RowBox[{ "rm", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ StyleBox[ RowBox[{"GrayLevel", "[", "0.25`", "]"}], ShowSpecialCharacters->False, ShowStringCharacters->True, NumberMarks->True], "->", "#2"}], ",", RowBox[{ RowBox[{"RGBColor", "[", "x___", "]"}], ":>", "#2"}]}], "}"}]}]}], "}"}]}], "]"}]}]}], "\[IndentingNewLine]", "]"}], "&"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"radiuses", ",", RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"colorFunc", "/@", RowBox[{"Range", "[", RowBox[{"0", ",", "1", ",", "0.1"}], "]"}]}], ",", RowBox[{"Length", "[", "radiuses", "]"}]}], "]"}], ",", "rotOrder"}], "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"FreeQ", "[", RowBox[{"generatedMandalas", ",", "$Failed"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Graphics", "[", RowBox[{"generatedMandalas", ",", RowBox[{"FilterRules", "[", RowBox[{ RowBox[{"{", "opts", "}"}], ",", RowBox[{"Options", "[", "Graphics", "]"}]}], "]"}]}], "]"}], ",", "\[IndentingNewLine]", "$Failed"}], "\[IndentingNewLine]", "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.780351838268936*^9, 3.780351986703182*^9}, { 3.780352020308646*^9, 3.780352064723638*^9}, {3.780352109398347*^9, 3.780352130808576*^9}, {3.780352780888913*^9, 3.780352798629896*^9}, { 3.780390861852784*^9, 3.780390902441757*^9}, {3.780395102730707*^9, 3.7803951054436493`*^9}, {3.780395154662032*^9, 3.780395248655085*^9}, { 3.780395298450264*^9, 3.780395301834629*^9}, {3.780396603565196*^9, 3.780396642253642*^9}, 3.7803966837465982`*^9, {3.780398111768958*^9, 3.7803982005500917`*^9}, {3.780398250166478*^9, 3.780398309764447*^9}, { 3.7803984845958*^9, 3.780398490062376*^9}, {3.78039980794316*^9, 3.780399841141591*^9}, 3.780401214744907*^9, {3.780401249204912*^9, 3.780401272436454*^9}, 3.7804018064058867`*^9, 3.780402247569116*^9, { 3.8485053060485153`*^9, 3.848505447598982*^9}, {3.848505676417611*^9, 3.848505703069088*^9}, {3.84850582012786*^9, 3.848505883610979*^9}, 3.84850595129594*^9, 3.8485062992083387`*^9}, CellLabel->"In[25]:=", CellID->964314230] }, Open ]], Cell[CellGroupData[{ Cell["Documentation", "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Documentation"}, CellTags->{"Documentation", "TemplateSection"}, CellID->429741307], Cell[CellGroupData[{ Cell[TextData[{ "Usage", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Usage", Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Document input usage cases by first typing an input structure, \ then pressing ", Cell[ BoxData[ StyleBox[ DynamicBox[ ToBoxes[ If[$OperatingSystem === "MacOSX", "\[ReturnKey]", "\[EnterKey]"], StandardForm], SingleEvaluation -> True, Evaluator -> "System"], ShowStringCharacters -> False]]], " to add a brief explanation of the function\[CloseCurlyQuote]s \ behavior for that structure. Pressing ", Cell[ BoxData[ StyleBox[ DynamicBox[ ToBoxes[ If[$OperatingSystem === "MacOSX", "\[ReturnKey]", "\[EnterKey]"], StandardForm], SingleEvaluation -> True, Evaluator -> "System"], ShowStringCharacters -> False]]], " repeatedly will create new cases as needed. Every input usage \ case defined above should be demonstrated explicitly here.\n\nSee existing \ documentation pages for examples."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoUsage"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Usage"}, DefaultNewCellStyle->{"UsageInputs", FontFamily -> "Source Sans Pro"}, CellTags->{"TemplateCellGroup", "Usage"}, CellID->542419310], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", "]"}]], "UsageInputs", FontFamily->"Source Sans Pro", CellID->641574175], Cell["generates a mandala graphic.", "UsageDescription", CellID->149097937] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Details & Options", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Notes", Cell[ BoxData[ FrameBox[ Cell[ "Give a detailed explanation of how the function is used and \ configured (e.g. acceptable input types, result formats, options \ specifications, background information). This section may include multiple \ cells, bullet lists, tables, hyperlinks and additional styles/structures as \ needed.\n\nAdd any other information that may be relevant, such as when the \ function was first discovered or how and why it is used within a given field. \ Include all relevant background or contextual information related to the \ function, its development, and its usage.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoNotes"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Notes"}, DefaultNewCellStyle->"Notes", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236], Cell[TextData[{ "The mandalas made by ", Cell[BoxData["RandomMandala"], "InlineFormula", FontFamily->"Source Sans Pro"], " are generated through rotational symmetry of a \"seed segment.\"" }], "Notes", CellTags->"TabNext", CellID->438301868], Cell[TextData[{ Cell[BoxData["RandomMandala"], "InlineFormula", FontFamily->"Source Sans Pro"], " accepts the same options as ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Graphics", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Graphics", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " as well as the following options to specify different features of the seed \ segment generation and rotational symmetry order:" }], "Notes", CellID->13933518], Cell[BoxData[GridBox[{ {"\"\\"", "6", Cell[TextData[{ "a value ", Cell[BoxData[ StyleBox["k", "TI"]], "InlineFormula", FontFamily->"Source Sans Pro"], " defining the rotation symmetry angle ", Cell[BoxData[ FormBox[ RowBox[{"2", RowBox[{ StyleBox["\[Pi]", "TI"], "/", StyleBox["k", "TI"]}]}], TraditionalForm]]] }], "TableText"]}, {"\"\\"", "10", Cell[ "maximum radius of the seed segment generation points", "TableText"]}, {"\"\\"", Cell[TextData[Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["True", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/True", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"]], "TableText"], Cell[ "whether the seed should be symmetric", "TableText"]}, {"\"\\"", Cell[TextData[Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Automatic", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Automatic", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"]], "TableText"], Cell[ "the number of elements in a seed segment", "TableText"]}, {"\"\\"", Cell[TextData[Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["False", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/False", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"]], "TableText"], Cell[ "should the grid points be shown", "TableText"]}, {"\"\\"", Cell[TextData[Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Random", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Random", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"]], "TableText"], Cell[ "how to connect a grid point", "TableText"]}, {Cell["\"SeedFunction\"", "TableText"], Cell[TextData[Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Automatic", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/Automatic", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"]], "TableText"], Cell[ "a function for drawing the seed segment", "TableText"]}, {"\"\<\!\(\*TagBox[ButtonBox[StyleBox[\"ColorFunction\", \ \"SymbolsRefLink\",ShowStringCharacters->True,FontFamily->\"Source Sans \ Pro\"],BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue[\"MouseOver\"], {\"Link\", FontColor -> RGBColor[0.854902, \ 0.396078, 0.145098]}, \ {\"Link\"}]],ButtonData->\"paclet:ref/ColorFunction\",ContentPadding->False],\ MouseAppearanceTag[\"LinkHand\"]]\)\>\"", Cell[TextData[Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["None", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/None", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"]], "TableText"], Cell[ "how to colorize the mandala", "TableText"]}, {Cell[TextData[{ "\"", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["FaceForm", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/FaceForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], "\"" }], "TableText"], Cell["{}", "TableText"], Cell[ "face graphics directive for filled objects", "TableText"]}, {Cell[TextData[{ "\"", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["EdgeForm", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/EdgeForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], "\"" }], "TableText"], Cell["{}", "TableText"], Cell[ "edge graphics directive for filled objects", "TableText"]} }]], "TableNotes", CellID->677749932], Cell[TextData[{ "The option ", Cell[BoxData["\"\\""], "InlineFormula", FontFamily->"Source Sans Pro"], " specifies what ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Graphics", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Graphics", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " primitive function should be used to connect the grid points of the seed \ segment. If the value is ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Automatic", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Automatic", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " then ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Polygon", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Polygon", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " is used. If the value is ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Random", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/Random", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " then a random choice is made from the following: ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Line", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Line", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Polygon", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Polygon", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["BezierCurve", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/BezierCurve", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " or ", Cell[BoxData[ RowBox[{ RowBox[{ TagBox[ ButtonBox[ StyleBox["FilledCurve", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/FilledCurve", ContentPadding->False], MouseAppearanceTag["LinkHand"]], "[", RowBox[{ TagBox[ ButtonBox[ StyleBox["BezierCurve", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/BezierCurve", ContentPadding->False], MouseAppearanceTag["LinkHand"]], "[", "#", "]"}], "]"}], "&"}]], "InlineFormula", FontFamily->"Source Sans Pro"], "." }], "Notes", CellID->258427964], Cell[TextData[{ "The option \"SeedFunction\" specifies the function for drawing mandala's \ seed segment. If the value is ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Automatic", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/Automatic", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", then the seed segment is drawn by taking into account the values of the \ options \"Radius\", \"NumberOfSeedElements\", \"KeepGridPoints\" and \ \"ConnectingFunction\"." }], "Notes", CellID->751635106] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Examples", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Examples", Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Demonstrate the function\[CloseCurlyQuote]s usage, starting with \ the most basic use case and describing each example in a preceding text cell.\ \n\nWithin a group, individual examples can be delimited by inserting page \ breaks between them (either using ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"[Right-click]\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False], StyleBox[ "\" \[FilledRightTriangle] \"", FontFamily -> "Source Sans Pro", FontSize -> 13.86, FontColor -> GrayLevel[0.5], StripOnInput -> False], StyleBox[ "\"Insert Page Break\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], " between cells or through the menu using ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"Insert\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False], StyleBox[ "\" \[FilledRightTriangle] \"", FontFamily -> "Source Sans Pro", FontSize -> 13.86, FontColor -> GrayLevel[0.5], StripOnInput -> False], StyleBox[ "\"Page Break\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], ").\n\nExamples should be grouped into Subsection and \ Subsubsection cells similarly to existing documentation pages. Here are some \ typical Subsection names and the types of examples they normally contain:\n \ ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Basic Examples: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "most basic function usage\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Scope: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "input and display conventions, standard computational attributes \ (e.g. threading over lists)\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Options: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "available options and parameters for the function\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Applications: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "standard industry or academic applications\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Properties and Relations: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "how the function relates to other functions\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Possible Issues: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "limitations or unexpected behavior a user might experience\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Neat Examples: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "particularly interesting, unconventional, or otherwise unique \ usage"}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoExamples"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Examples"}, CellTags->{"Examples", "TemplateCellGroup"}, CellID->530638011], Cell[CellGroupData[{ Cell["Basic Examples", "Subsection", TaggingRules->{}, CellID->904125756], Cell["Here we generate a random mandala:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779209621974771*^9, 3.7792096538014297`*^9}}, CellID->775661518], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "4243", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"RandomMandala", "[", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.779209597621125*^9, 3.779209605166996*^9}, { 3.779550088567747*^9, 3.779550099150223*^9}, {3.779550954459326*^9, 3.779550954997319*^9}, 3.7795511654455442`*^9, {3.779551301494671*^9, 3.779551302661871*^9}, {3.7795530991370783`*^9, 3.7795531000121307`*^9}, { 3.7795534942662897`*^9, 3.7795535506494904`*^9}, 3.848521896743626*^9}, CellLabel->"In[1]:=", CellID->555672362], Cell[BoxData[ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, { Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, {10, 0}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}}], BezierCurve[{{5, 0}, {3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 1.6666666666666667`, 0}, {4.330127018922193, 2.5}, { 1.4433756729740645`, 0.8333333333333334}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {10, 0}, {0, 0}, {5.773502691896258, 3.3333333333333335`}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, { Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, {10, 0}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}}], BezierCurve[{{5, 0}, {3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 1.6666666666666667`, 0}, {4.330127018922193, 2.5}, { 1.4433756729740645`, 0.8333333333333334}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {10, 0}, {0, 0}, {5.773502691896258, 3.3333333333333335`}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.779530189289238*^9, 3.779530695894944*^9, 3.779549725744611*^9, { 3.7795500585496817`*^9, 3.779550099687768*^9}, {3.779550952798534*^9, 3.779550955245048*^9}, 3.7795511659654827`*^9, 3.7795513029739017`*^9, 3.779552077848742*^9, 3.7795531004430227`*^9, {3.779553497670311*^9, 3.779553551019264*^9}, 3.779554206936789*^9, 3.7795548227541122`*^9, 3.780352327078562*^9, 3.780396445982522*^9, 3.780396924221985*^9, 3.7803974446756573`*^9, 3.780399857639822*^9, 3.780400232352318*^9, 3.7804003719101877`*^9, 3.780401124857996*^9, 3.78040128793688*^9, 3.780401810438039*^9, 3.780402265004505*^9, 3.7804023932277412`*^9, 3.848507707157031*^9, 3.848521900394044*^9, 3.8591939697711153`*^9}, CellLabel->"Out[2]=", CellID->289777873] }, Open ]], Cell["Here we generate a mandala with different option settings:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779211108318758*^9, 3.779211124518875*^9}}, CellID->581220905], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "1", "]"}], ";"}], "\n", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "7"}], ",", RowBox[{"\"\\"", "\[Rule]", "12"}], ",", RowBox[{"\"\\"", "\[Rule]", "False"}]}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.7795500704301567`*^9, 3.77955008207556*^9}, { 3.779550993576579*^9, 3.7795510096860743`*^9}, 3.779553111186166*^9, { 3.779553206724779*^9, 3.779553220198059*^9}, {3.848521903538443*^9, 3.848521906168819*^9}}, CellLabel->"In[3]:=", CellID->926397222], Cell[BoxData[ GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{4 Sin[Rational[3, 14] Pi], 4 Cos[Rational[3, 14] Pi]}, {4, 0}, {0, 0}, {0, 0}, {10, 0}, { 2 Sin[Rational[3, 14] Pi], 2 Cos[Rational[3, 14] Pi]}, {8, 0}, { 6 Sin[Rational[3, 14] Pi], 6 Cos[Rational[3, 14] Pi]}, {6, 0}, {2, 0}, {12, 0}, { 10 Sin[Rational[3, 14] Pi], 10 Cos[Rational[3, 14] Pi]}, { 12 Sin[Rational[3, 14] Pi], 12 Cos[Rational[3, 14] Pi]}, { 8 Sin[Rational[3, 14] Pi], 8 Cos[Rational[3, 14] Pi]}}], BezierCurve[{{2.493959207434934, 3.127325929872119}, {4, 0}, {0, 0}, {0, 0}, {10, 0}, {1.246979603717467, 1.5636629649360596`}, {8, 0}, { 3.740938811152401, 4.690988894808179}, {6, 0}, {2, 0}, {12, 0}, { 6.234898018587335, 7.818314824680298}, {7.481877622304802, 9.381977789616357}, {4.987918414869868, 6.254651859744238}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, {0, 1}}, {{0.6234898018587335, -0.7818314824680298}, {0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, {{ 0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.779550961405864*^9, 3.7795510105166073`*^9, 3.7795520778581676`*^9, 3.77955311158782*^9, {3.779553207519372*^9, 3.779553220460392*^9}, 3.7795542069458637`*^9, 3.779554822812557*^9, 3.7803523270898046`*^9, 3.780396448566662*^9, 3.7803969242338552`*^9, 3.780397444728104*^9, 3.7803998576826267`*^9, 3.7804002323628817`*^9, 3.78040037194368*^9, 3.7804011248715763`*^9, 3.780401287949215*^9, 3.780401810472773*^9, 3.7804022650458612`*^9, 3.7804023932923393`*^9, 3.848507707169167*^9, 3.848521907070943*^9, 3.859193969777378*^9}, CellLabel->"Out[4]=", CellID->356632074] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Scope", "Subsection", TaggingRules->{}, CellChangeTimes->{{3.780355712863207*^9, 3.780355714382448*^9}}, CellID->204653245], Cell["\<\ There are two modes of making random mandalas: (i) single-mandala mode and \ (ii) multi-mandala mode. The multi-mandala mode is activated by giving the \ \"Radius\" option a list of positive reals.\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.780393206269218*^9, 3.7803932386519327`*^9}, { 3.780393288827743*^9, 3.7803933339445*^9}, {3.780393419274227*^9, 3.780393516632539*^9}, {3.780398532091058*^9, 3.78039854484061*^9}}, CellID->150561476], Cell["\<\ Here are gray mandalas generated with the single-mandala mode:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.780393496978554*^9, 3.780393520502687*^9}, { 3.780394181923073*^9, 3.78039420939526*^9}, {3.7803943496292677`*^9, 3.7803943863838882`*^9}, {3.780394537687252*^9, 3.78039453931781*^9}, { 3.780394781377273*^9, 3.780394791345282*^9}, {3.780397387114999*^9, 3.780397387417383*^9}, {3.7803985731878853`*^9, 3.7803985775745497`*^9}, { 3.8655229191029873`*^9, 3.8655229324942713`*^9}}, CellID->840811679], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "54929", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", "10"}], "]"}], ",", "4"}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.780394398716584*^9, 3.780394499054377*^9}, 3.780394562193512*^9, {3.7803946134200573`*^9, 3.78039475972418*^9}, 3.780395634508923*^9, {3.7803957201416073`*^9, 3.780395763359642*^9}, 3.780395888353071*^9, {3.780396969599572*^9, 3.780396990625786*^9}, 3.7803970395269423`*^9, {3.780397088335663*^9, 3.7803970888177423`*^9}, 3.780397333044794*^9, {3.780400866518042*^9, 3.780400867032325*^9}, { 3.7804010301959047`*^9, 3.780401031825234*^9}, {3.780402110303616*^9, 3.780402124931271*^9}}, CellLabel->"In[1]:=", CellID->11658044], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[5, 3], 0}, {Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {10, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {5, 0}, {5 3^Rational[1, 2], 5}, {0, 0}, { Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{1.6666666666666667`, 0}, { 8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, { 10, 0}, {1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {5, 0}, {8.660254037844386, 5}, {0, 0}, { 3.3333333333333335`, 0}, {4.330127018922193, 2.5}, { 7.216878364870323, 4.166666666666667}, {0, 0}, {2.886751345948129, 1.6666666666666667`}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[5, 3], 0}, {Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {10, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {5, 0}, {5 3^Rational[1, 2], 5}, {0, 0}, { Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{1.6666666666666667`, 0}, { 8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, { 10, 0}, {1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {5, 0}, {8.660254037844386, 5}, {0, 0}, { 3.3333333333333335`, 0}, {4.330127018922193, 2.5}, { 7.216878364870323, 4.166666666666667}, {0, 0}, {2.886751345948129, 1.6666666666666667`}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{5, 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[20, 3], 0}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { Rational[5, 3], 0}}, {{5, 0}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {7.216878364870323, 4.166666666666667}, { 1.4433756729740645`, 0.8333333333333334}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, {5.773502691896258, 3.3333333333333335`}, {0, 0}, {6.666666666666667, 0}, { 3.3333333333333335`, 0}, {4.330127018922193, 2.5}, {0, 0}, { 1.6666666666666667`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{5, 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[20, 3], 0}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { Rational[5, 3], 0}}, {{5, 0}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {7.216878364870323, 4.166666666666667}, { 1.4433756729740645`, 0.8333333333333334}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, {5.773502691896258, 3.3333333333333335`}, {0, 0}, {6.666666666666667, 0}, { 3.3333333333333335`, 0}, {4.330127018922193, 2.5}, {0, 0}, { 1.6666666666666667`, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[10, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[20, 3], 0}, {Rational[25, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}}, {{ 3.3333333333333335`, 0}, {0, 0}, {8.660254037844386, 5}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 6.666666666666667, 0}, {8.333333333333334, 0}, {5, 0}, { 4.330127018922193, 2.5}, {2.886751345948129, 1.6666666666666667`}, { 10, 0}, {5.773502691896258, 3.3333333333333335`}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[10, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[20, 3], 0}, {Rational[25, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}}, {{ 3.3333333333333335`, 0}, {0, 0}, {8.660254037844386, 5}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 6.666666666666667, 0}, {8.333333333333334, 0}, {5, 0}, { 4.330127018922193, 2.5}, {2.886751345948129, 1.6666666666666667`}, {10, 0}, {5.773502691896258, 3.3333333333333335`}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{5 3^Rational[1, 2], 5}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[25, 3], 0}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}}, {{ 8.660254037844386, 5}, {2.886751345948129, 1.6666666666666667`}, { 8.333333333333334, 0}, {6.666666666666667, 0}, {0, 0}, { 1.6666666666666667`, 0}, {5.773502691896258, 3.3333333333333335`}, { 5, 0}, {1.4433756729740645`, 0.8333333333333334}, { 3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, {0, 0}, {4.330127018922193, 2.5}, {10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{5 3^Rational[1, 2], 5}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[25, 3], 0}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}}, {{ 8.660254037844386, 5}, {2.886751345948129, 1.6666666666666667`}, { 8.333333333333334, 0}, {6.666666666666667, 0}, {0, 0}, { 1.6666666666666667`, 0}, {5.773502691896258, 3.3333333333333335`}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, {0, 0}, {4.330127018922193, 2.5}, {10, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.780395754237809*^9, 3.7803957638166656`*^9}, 3.780395888748962*^9, 3.7803964518909903`*^9, 3.780396666923264*^9, 3.7803969243639593`*^9, {3.7803969867712317`*^9, 3.780396991013547*^9}, 3.780397040213585*^9, 3.780397089063835*^9, 3.780397190504829*^9, 3.780397333382917*^9, 3.780397444820895*^9, 3.7803998578198023`*^9, 3.7804002325003033`*^9, 3.780400372054669*^9, 3.7804008672573643`*^9, 3.780401040328208*^9, 3.780401124975657*^9, 3.780401288063802*^9, 3.780401810581596*^9, {3.780402111473281*^9, 3.7804021255651617`*^9}, 3.780402265152874*^9, 3.780402393396572*^9, 3.848507707262265*^9, 3.859193969803912*^9}, CellLabel->"Out[2]=", CellID->571106735] }, Open ]], Cell["\<\ Here are colorized mandalas generated with the single-mandala mode:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.780393496978554*^9, 3.780393520502687*^9}, { 3.780394181923073*^9, 3.78039420939526*^9}, {3.7803943496292677`*^9, 3.7803943863838882`*^9}, {3.780394537687252*^9, 3.78039453931781*^9}, { 3.780394781377273*^9, 3.780394791345282*^9}, {3.780397387114999*^9, 3.780397387417383*^9}, {3.7803985731878853`*^9, 3.7803985775745497`*^9}, { 3.8655229191029873`*^9, 3.865522939893828*^9}}, CellID->309275443], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "54929", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "10"}], ",", RowBox[{"ColorFunction", "\[Rule]", RowBox[{"ColorData", "[", "\"\\"", "]"}]}]}], "]"}], ",", "4"}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.780394398716584*^9, 3.780394499054377*^9}, 3.780394562193512*^9, {3.7803946134200573`*^9, 3.78039475972418*^9}, 3.780395634508923*^9, {3.7803957201416073`*^9, 3.780395763359642*^9}, 3.780395888353071*^9, {3.780396969599572*^9, 3.780396990625786*^9}, { 3.7803970395269423`*^9, 3.780397047805448*^9}, {3.780397091226653*^9, 3.780397091764803*^9}, 3.780397328398294*^9, {3.7804008635815573`*^9, 3.780400864039873*^9}, {3.7804009418485527`*^9, 3.780401044617303*^9}, { 3.780402105342958*^9, 3.7804021279799232`*^9}}, CellLabel->"In[3]:=", CellID->347978080], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], PolygonBox[ NCache[{{Rational[5, 3], 0}, {Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {10, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {5, 0}, {5 3^Rational[1, 2], 5}, {0, 0}, { Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{1.6666666666666667`, 0}, { 8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, { 10, 0}, {1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {5, 0}, {8.660254037844386, 5}, {0, 0}, { 3.3333333333333335`, 0}, {4.330127018922193, 2.5}, { 7.216878364870323, 4.166666666666667}, {0, 0}, {2.886751345948129, 1.6666666666666667`}}]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2484884, 0.3863264, 0.813373]], PolygonBox[ NCache[{{Rational[5, 3], 0}, {Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {10, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {5, 0}, {5 3^Rational[1, 2], 5}, {0, 0}, { Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{ 1.6666666666666667`, 0}, {8.333333333333334, 0}, { 5.773502691896258, 3.3333333333333335`}, {10, 0}, { 1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {5, 0}, {8.660254037844386, 5}, {0, 0}, { 3.3333333333333335`, 0}, {4.330127018922193, 2.5}, { 7.216878364870323, 4.166666666666667}, {0, 0}, {2.886751345948129, 1.6666666666666667`}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[0.857359, 0.131106, 0.132128]], FilledCurveBox[NCache[ BezierCurve[{{Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, { Rational[20, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}}], BezierCurve[{{7.216878364870323, 4.166666666666667}, { 1.4433756729740645`, 0.8333333333333334}, {5, 0}, { 6.666666666666667, 0}, {0, 0}, {4.330127018922193, 2.5}, { 8.660254037844386, 5}, {8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {10, 0}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {5.773502691896258, 3.3333333333333335`}, {0, 0}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.8935136, 0.6004149999999999, 0.2205464]], FilledCurveBox[NCache[ BezierCurve[{{Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, { Rational[20, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}}], BezierCurve[{{7.216878364870323, 4.166666666666667}, { 1.4433756729740645`, 0.8333333333333334}, {5, 0}, { 6.666666666666667, 0}, {0, 0}, {4.330127018922193, 2.5}, { 8.660254037844386, 5}, {8.333333333333334, 0}, { 2.886751345948129, 1.6666666666666667`}, {10, 0}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], PolygonBox[ NCache[{{Rational[5, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { 5, 0}, {Rational[25, 3], 0}, {0, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}}, {{ 1.6666666666666667`, 0}, {2.886751345948129, 1.6666666666666667`}, {5, 0}, {8.333333333333334, 0}, {0, 0}, {10, 0}, {4.330127018922193, 2.5}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {1.4433756729740645`, 0.8333333333333334}}]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], PolygonBox[ NCache[{{Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {5, 0}, { Rational[25, 3], 0}, {0, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}}, {{ 1.6666666666666667`, 0}, {2.886751345948129, 1.6666666666666667`}, {5, 0}, {8.333333333333334, 0}, {0, 0}, {10, 0}, {4.330127018922193, 2.5}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {1.4433756729740645`, 0.8333333333333334}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], PolygonBox[ NCache[{{Rational[25, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, { Rational[5, 3], 0}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, { 5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{ 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}, {1.6666666666666667`, 0}, {0, 0}, { 5.773502691896258, 3.3333333333333335`}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, {10, 0}, {4.330127018922193, 2.5}, {7.216878364870323, 4.166666666666667}}]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.8083416, 0.7110806, 0.255976]], PolygonBox[ NCache[{{Rational[25, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, { Rational[5, 3], 0}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, { 5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{ 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}, {1.6666666666666667`, 0}, {0, 0}, { 5.773502691896258, 3.3333333333333335`}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, {10, 0}, {4.330127018922193, 2.5}, {7.216878364870323, 4.166666666666667}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.780397048161131*^9, 3.780397092007296*^9, 3.780397191725655*^9, 3.7803973288527107`*^9, 3.7803974448776283`*^9, 3.78039985786707*^9, 3.780400232548769*^9, 3.780400372089654*^9, {3.7804008605739183`*^9, 3.780400864334991*^9}, {3.7804009470298557`*^9, 3.780401044892887*^9}, 3.780401125039598*^9, 3.7804012881003513`*^9, 3.780401810618803*^9, { 3.780402106411892*^9, 3.780402128305264*^9}, 3.7804022651974087`*^9, 3.780402393471637*^9, 3.848507707312861*^9, 3.8591939698168592`*^9}, CellLabel->"Out[4]=", CellID->267992156] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->14107562], Cell["Here are gray mandalas generated with a multi-mandala mode:", "Text", TaggingRules->{}, CellChangeTimes->{{3.780394510147457*^9, 3.780394532883582*^9}, { 3.780394939329956*^9, 3.7803949435827017`*^9}, {3.865522955089364*^9, 3.8655229633633137`*^9}}, CellID->713300191], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "54929", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"7", ",", "5", ",", "3"}], "}"}]}], "]"}], ",", "4"}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.780395818432042*^9, 3.7803958499327707`*^9}, { 3.7803959124277143`*^9, 3.7803959521232643`*^9}, {3.780396239682152*^9, 3.780396258934867*^9}, 3.780396399537137*^9, {3.7803964682810593`*^9, 3.780396468705717*^9}, {3.78039694378224*^9, 3.7803969478639174`*^9}, { 3.780397094162942*^9, 3.7803971110156813`*^9}, 3.780397310836629*^9, { 3.7803998954681787`*^9, 3.780399914501299*^9}, {3.7804000778345346`*^9, 3.780400078552199*^9}, {3.780400124578426*^9, 3.780400149765416*^9}, 3.780400194606288*^9, 3.780400493128027*^9}, CellLabel->"In[1]:=", CellID->525095658], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[{ {GrayLevel[0.30000000000000004`], GeometricTransformationBox[{ {GrayLevel[0.30000000000000004`], PolygonBox[ NCache[{{0, 0}, {0, 0}, {Rational[14, 3], 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, { Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {7, 0}}, {{0, 0}, {0, 0}, {4.666666666666667, 0}, {4.041451884327381, 2.3333333333333335`}, {6.06217782649107, 3.5}, { 2.3333333333333335`, 0}, {2.0207259421636903`, 1.1666666666666667`}, {7, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.30000000000000004`], PolygonBox[ NCache[{{0, 0}, {0, 0}, {Rational[14, 3], 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, { Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {7, 0}}, {{0, 0}, {0, 0}, {4.666666666666667, 0}, {4.041451884327381, 2.3333333333333335`}, {6.06217782649107, 3.5}, { 2.3333333333333335`, 0}, {2.0207259421636903`, 1.1666666666666667`}, {7, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.8], GeometricTransformationBox[{ {GrayLevel[0.8], PolygonBox[ NCache[{{Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {5, 0}, {0, 0}}, {{3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {5, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.8], PolygonBox[ NCache[{{Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {5, 0}, {0, 0}}, {{3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {5, 0}, {0, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.30000000000000004`], GeometricTransformationBox[{ {GrayLevel[0.30000000000000004`], PolygonBox[ NCache[{{1, 0}, {Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {3, 0}, { 3^Rational[1, 2], 1}, {0, 0}, {0, 0}, {2, 0}}, {{1, 0}, { 0.8660254037844386, 0.5}, {2.598076211353316, 1.5}, {3, 0}, { 1.7320508075688772`, 1}, {0, 0}, {0, 0}, {2, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.30000000000000004`], PolygonBox[ NCache[{{1, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {3, 0}, { 3^Rational[1, 2], 1}, {0, 0}, {0, 0}, {2, 0}}, {{1, 0}, { 0.8660254037844386, 0.5}, {2.598076211353316, 1.5}, {3, 0}, { 1.7320508075688772`, 1}, {0, 0}, {0, 0}, {2, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], ",", GraphicsBox[{ {GrayLevel[0.2], GeometricTransformationBox[{ {GrayLevel[0.2], LineBox[NCache[{{0, 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, {7 3^Rational[-1, 2], Rational[7, 3]}, {7, 0}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}, {{0, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {4.041451884327381, 2.3333333333333335`}, { 7, 0}, {2.3333333333333335`, 0}, {6.06217782649107, 3.5}}]]}, GeometricTransformationBox[ {GrayLevel[0.2], LineBox[NCache[{{0, 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, {7 3^Rational[-1, 2], Rational[7, 3]}, {7, 0}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}, {{0, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {4.041451884327381, 2.3333333333333335`}, {7, 0}, {2.3333333333333335`, 0}, { 6.06217782649107, 3.5}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.9], GeometricTransformationBox[{ {GrayLevel[0.9], LineBox[NCache[{{Rational[10, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{ 3.3333333333333335`, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {1.6666666666666667`, 0}, {0, 0}, { 4.330127018922193, 2.5}, {5, 0}, {2.886751345948129, 1.6666666666666667`}}]]}, GeometricTransformationBox[ {GrayLevel[0.9], LineBox[NCache[{{Rational[10, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{ 3.3333333333333335`, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {1.6666666666666667`, 0}, {0, 0}, { 4.330127018922193, 2.5}, {5, 0}, {2.886751345948129, 1.6666666666666667`}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.9], GeometricTransformationBox[{ {GrayLevel[0.9], LineBox[NCache[{{3, 0}, {1, 0}, {3^Rational[1, 2], 1}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {0, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {2, 0}, {0, 0}}, {{3, 0}, {1, 0}, {1.7320508075688772`, 1}, { 2.598076211353316, 1.5}, {0, 0}, {0.8660254037844386, 0.5}, {2, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.9], LineBox[NCache[{{3, 0}, {1, 0}, {3^Rational[1, 2], 1}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {0, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {2, 0}, {0, 0}}, {{3, 0}, {1, 0}, {1.7320508075688772`, 1}, { 2.598076211353316, 1.5}, {0, 0}, {0.8660254037844386, 0.5}, {2, 0}, {0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], ",", GraphicsBox[{ {GrayLevel[0.7000000000000001], GeometricTransformationBox[{ {GrayLevel[0.7000000000000001], FilledCurveBox[NCache[ BezierCurve[{{7, 0}, {0, 0}, {0, 0}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, { Rational[14, 3], 0}, {7 3^Rational[-1, 2], Rational[7, 3]}}], BezierCurve[{{7, 0}, {0, 0}, {0, 0}, {2.3333333333333335`, 0}, { 6.06217782649107, 3.5}, {2.0207259421636903`, 1.1666666666666667`}, {4.666666666666667, 0}, {4.041451884327381, 2.3333333333333335`}}]]]}, GeometricTransformationBox[ {GrayLevel[0.7000000000000001], FilledCurveBox[NCache[ BezierCurve[{{7, 0}, {0, 0}, {0, 0}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, { Rational[14, 3], 0}, {7 3^Rational[-1, 2], Rational[7, 3]}}], BezierCurve[{{7, 0}, {0, 0}, {0, 0}, {2.3333333333333335`, 0}, { 6.06217782649107, 3.5}, {2.0207259421636903`, 1.1666666666666667`}, {4.666666666666667, 0}, { 4.041451884327381, 2.3333333333333335`}}]]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.1], GeometricTransformationBox[{ {GrayLevel[0.1], FilledCurveBox[NCache[ BezierCurve[{{Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{4.330127018922193, 2.5}, {5, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.1], FilledCurveBox[NCache[ BezierCurve[{{Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{4.330127018922193, 2.5}, {5, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.2], GeometricTransformationBox[{ {GrayLevel[0.2], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {3^Rational[1, 2], 1}, {0, 0}, {1, 0}, {0, 0}, {3, 0}, {Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}}], BezierCurve[{{2, 0}, {1.7320508075688772`, 1}, {0, 0}, {1, 0}, {0, 0}, {3, 0}, {0.8660254037844386, 0.5}, {2.598076211353316, 1.5}}]]]}, GeometricTransformationBox[ {GrayLevel[0.2], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {3^Rational[1, 2], 1}, {0, 0}, {1, 0}, {0, 0}, {3, 0}, {Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}}], BezierCurve[{{2, 0}, {1.7320508075688772`, 1}, {0, 0}, {1, 0}, {0, 0}, {3, 0}, {0.8660254037844386, 0.5}, {2.598076211353316, 1.5}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], ",", GraphicsBox[{ {GrayLevel[0.5], GeometricTransformationBox[{ {GrayLevel[0.5], LineBox[NCache[{{Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {7, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, { Rational[7, 3], 0}, {0, 0}, {0, 0}}, {{2.0207259421636903`, 1.1666666666666667`}, {4.041451884327381, 2.3333333333333335`}, { 7, 0}, {4.666666666666667, 0}, {6.06217782649107, 3.5}, { 2.3333333333333335`, 0}, {0, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.5], LineBox[NCache[{{ Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {7, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, { Rational[7, 3], 0}, {0, 0}, {0, 0}}, {{2.0207259421636903`, 1.1666666666666667`}, {4.041451884327381, 2.3333333333333335`}, { 7, 0}, {4.666666666666667, 0}, {6.06217782649107, 3.5}, { 2.3333333333333335`, 0}, {0, 0}, {0, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.9], GeometricTransformationBox[{ {GrayLevel[0.9], LineBox[NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, {0, 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}}, {{ 2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, {3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {5, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.9], LineBox[NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, {0, 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}}, {{ 2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, {3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {5, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.9], GeometricTransformationBox[{ {GrayLevel[0.9], LineBox[NCache[{{2, 0}, {3, 0}, {1, 0}, {3^Rational[1, 2], 1}, {0, 0}, {Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {0, 0}}, {{2, 0}, {3, 0}, {1, 0}, {1.7320508075688772`, 1}, {0, 0}, { 2.598076211353316, 1.5}, {0.8660254037844386, 0.5}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.9], LineBox[NCache[{{2, 0}, {3, 0}, {1, 0}, {3^Rational[1, 2], 1}, {0, 0}, {Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {0, 0}}, {{2, 0}, {3, 0}, {1, 0}, {1.7320508075688772`, 1}, {0, 0}, { 2.598076211353316, 1.5}, {0.8660254037844386, 0.5}, {0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7803958192394133`*^9, 3.7803958506844873`*^9}, { 3.7803958983360567`*^9, 3.780395952468265*^9}, {3.780396240325055*^9, 3.780396259238031*^9}, 3.780396400250524*^9, {3.780396456390711*^9, 3.7803964690357027`*^9}, {3.78039666983661*^9, 3.780396689877343*^9}, { 3.780396924485264*^9, 3.78039694826442*^9}, {3.780397095241826*^9, 3.7803971114441233`*^9}, 3.7803971943407173`*^9, 3.780397311586341*^9, 3.7803974449450912`*^9, 3.7803998579230328`*^9, {3.7803998958703003`*^9, 3.780399914834762*^9}, 3.7804000788708982`*^9, {3.7804001270764008`*^9, 3.780400150097171*^9}, 3.78040019491459*^9, 3.780400232605166*^9, 3.780400372136203*^9, 3.7804004934398327`*^9, 3.780401125220106*^9, 3.7804012881515417`*^9, 3.780401810663563*^9, 3.780402265250587*^9, 3.780402393545755*^9, 3.848507707372088*^9, 3.859193969836866*^9}, CellLabel->"Out[2]=", CellID->141452096] }, Open ]], Cell["\<\ Here are colorized mandalas generated with a multi-mandala mode:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.780394510147457*^9, 3.780394532883582*^9}, { 3.780394939329956*^9, 3.7803949435827017`*^9}, {3.865522955089364*^9, 3.8655229687305727`*^9}}, CellID->935829797], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "54929", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"7", ",", "5", ",", "3"}], "}"}]}], ",", RowBox[{"ColorFunction", "\[Rule]", "\"\\""}]}], "]"}], ",", "4"}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.780395818432042*^9, 3.7803958499327707`*^9}, { 3.7803959124277143`*^9, 3.7803959910603523`*^9}, {3.7803960951126833`*^9, 3.780396230430608*^9}, {3.780396261597587*^9, 3.7803962832941513`*^9}, 3.780396396747696*^9, {3.780396464017982*^9, 3.780396464452886*^9}, { 3.780396951409787*^9, 3.7803969539270687`*^9}, {3.780397099158125*^9, 3.780397105301323*^9}, {3.78039730387854*^9, 3.7803973044723253`*^9}, { 3.780399906263817*^9, 3.780399919991992*^9}, {3.7804000821761427`*^9, 3.780400136331676*^9}, 3.780400198376176*^9, 3.780400496177256*^9}, CellLabel->"In[3]:=", CellID->748448836], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[{ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], GeometricTransformationBox[{ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], PolygonBox[ NCache[{{0, 0}, {0, 0}, {Rational[14, 3], 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, { Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {7, 0}}, {{0, 0}, {0, 0}, {4.666666666666667, 0}, {4.041451884327381, 2.3333333333333335`}, {6.06217782649107, 3.5}, { 2.3333333333333335`, 0}, {2.0207259421636903`, 1.1666666666666667`}, {7, 0}}]]}}, GeometricTransformationBox[ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], PolygonBox[ NCache[{{0, 0}, {0, 0}, {Rational[14, 3], 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, { Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {7, 0}}, {{0, 0}, {0, 0}, {4.666666666666667, 0}, {4.041451884327381, 2.3333333333333335`}, {6.06217782649107, 3.5}, { 2.3333333333333335`, 0}, {2.0207259421636903`, 1.1666666666666667`}, {7, 0}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.8935136, 0.6004149999999999, 0.2205464], GeometricTransformationBox[{ {RGBColor[0.8935136, 0.6004149999999999, 0.2205464], {FaceForm[RGBColor[0.8935136, 0.6004149999999999, 0.2205464]], PolygonBox[ NCache[{{5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, {0, 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{5, 0}, { 4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}}]]}}, GeometricTransformationBox[ {RGBColor[0.8935136, 0.6004149999999999, 0.2205464], {FaceForm[RGBColor[0.8935136, 0.6004149999999999, 0.2205464]], PolygonBox[ NCache[{{5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, {0, 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{5, 0}, { 4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], GeometricTransformationBox[{ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], PolygonBox[ NCache[{{0, 0}, {2, 0}, {0, 0}, {3^Rational[1, 2], 1}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {3, 0}, {1, 0}}, {{0, 0}, {2, 0}, {0, 0}, {1.7320508075688772`, 1}, { 0.8660254037844386, 0.5}, {2.598076211353316, 1.5}, {3, 0}, {1, 0}}]]}}, GeometricTransformationBox[ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], PolygonBox[ NCache[{{0, 0}, {2, 0}, {0, 0}, {3^Rational[1, 2], 1}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {3, 0}, {1, 0}}, {{0, 0}, {2, 0}, {0, 0}, {1.7320508075688772`, 1}, { 0.8660254037844386, 0.5}, {2.598076211353316, 1.5}, {3, 0}, {1, 0}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], ",", GraphicsBox[{ {RGBColor[0.513417, 0.72992, 0.440682], GeometricTransformationBox[{ {RGBColor[0.513417, 0.72992, 0.440682], {RGBColor[0.513417, 0.72992, 0.440682], LineBox[NCache[{{Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, {0, 0}, {7, 0}, {7 3^Rational[-1, 2], Rational[7, 3]}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}, {{ 2.3333333333333335`, 0}, {2.0207259421636903`, 1.1666666666666667`}, {0, 0}, {0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {4.666666666666667, 0}, {6.06217782649107, 3.5}}]]}}, GeometricTransformationBox[ {RGBColor[0.513417, 0.72992, 0.440682], {RGBColor[0.513417, 0.72992, 0.440682], LineBox[NCache[{{Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, {0, 0}, {7, 0}, {7 3^Rational[-1, 2], Rational[7, 3]}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}, {{ 2.3333333333333335`, 0}, {2.0207259421636903`, 1.1666666666666667`}, {0, 0}, {0, 0}, {7, 0}, { 4.041451884327381, 2.3333333333333335`}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], GeometricTransformationBox[{ {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], LineBox[NCache[{{0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { Rational[5, 3], 0}}, {{0, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {5, 0}, { 4.330127018922193, 2.5}, {0, 0}, {1.6666666666666667`, 0}}]]}}, GeometricTransformationBox[ {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], LineBox[NCache[{{0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { Rational[5, 3], 0}}, {{0, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {5, 0}, { 4.330127018922193, 2.5}, {0, 0}, { 1.6666666666666667`, 0}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.2484884, 0.3863264, 0.813373], GeometricTransformationBox[{ {RGBColor[0.2484884, 0.3863264, 0.813373], {RGBColor[0.2484884, 0.3863264, 0.813373], LineBox[NCache[{{Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { 3^Rational[1, 2], 1}, {3, 0}, {2, 0}, {1, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {0, 0}, {0, 0}}, {{2.598076211353316, 1.5}, {1.7320508075688772`, 1}, {3, 0}, {2, 0}, {1, 0}, {0.8660254037844386, 0.5}, {0, 0}, {0, 0}}]]}}, GeometricTransformationBox[ {RGBColor[0.2484884, 0.3863264, 0.813373], {RGBColor[0.2484884, 0.3863264, 0.813373], LineBox[NCache[{{ Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { 3^Rational[1, 2], 1}, {3, 0}, {2, 0}, {1, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {0, 0}, {0, 0}}, {{2.598076211353316, 1.5}, {1.7320508075688772`, 1}, {3, 0}, {2, 0}, {1, 0}, {0.8660254037844386, 0.5}, {0, 0}, {0, 0}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], ",", GraphicsBox[{ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], GeometricTransformationBox[{ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], PolygonBox[ NCache[{{Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, { Rational[14, 3], 0}, {0, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {7, 0}, { Rational[7, 3], 0}, {0, 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}, {{ 2.0207259421636903`, 1.1666666666666667`}, { 4.666666666666667, 0}, {0, 0}, {4.041451884327381, 2.3333333333333335`}, {7, 0}, {2.3333333333333335`, 0}, {0, 0}, { 6.06217782649107, 3.5}}]]}}, GeometricTransformationBox[ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], PolygonBox[ NCache[{{Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, { Rational[14, 3], 0}, {0, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {7, 0}, { Rational[7, 3], 0}, {0, 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}, {{ 2.0207259421636903`, 1.1666666666666667`}, { 4.666666666666667, 0}, {0, 0}, {4.041451884327381, 2.3333333333333335`}, {7, 0}, {2.3333333333333335`, 0}, {0, 0}, {6.06217782649107, 3.5}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], GeometricTransformationBox[{ {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], {FaceForm[RGBColor[ 0.6660832000000002, 0.7430418, 0.32293539999999993`]], PolygonBox[ NCache[{{0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {5, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, {0, 0}}, {{0, 0}, {4.330127018922193, 2.5}, { 3.3333333333333335`, 0}, {5, 0}, {2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {1.6666666666666667`, 0}, {0, 0}}]]}}, GeometricTransformationBox[ {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], {FaceForm[RGBColor[ 0.6660832000000002, 0.7430418, 0.32293539999999993`]], PolygonBox[ NCache[{{0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {5, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, {0, 0}}, {{0, 0}, {4.330127018922193, 2.5}, {3.3333333333333335`, 0}, {5, 0}, {2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {1.6666666666666667`, 0}, {0, 0}}]]}}, {{{ 1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], GeometricTransformationBox[{ {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], {FaceForm[RGBColor[ 0.6660832000000002, 0.7430418, 0.32293539999999993`]], PolygonBox[ NCache[{{2, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {1, 0}, {0, 0}, {3, 0}, {0, 0}, {3^Rational[1, 2], 1}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}}, {{2, 0}, { 0.8660254037844386, 0.5}, {1, 0}, {0, 0}, {3, 0}, {0, 0}, { 1.7320508075688772`, 1}, {2.598076211353316, 1.5}}]]}}, GeometricTransformationBox[ {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], {FaceForm[RGBColor[ 0.6660832000000002, 0.7430418, 0.32293539999999993`]], PolygonBox[ NCache[{{2, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {1, 0}, {0, 0}, {3, 0}, {0, 0}, {3^Rational[1, 2], 1}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}}, {{2, 0}, { 0.8660254037844386, 0.5}, {1, 0}, {0, 0}, {3, 0}, {0, 0}, { 1.7320508075688772`, 1}, {2.598076211353316, 1.5}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], ",", GraphicsBox[{ {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], GeometricTransformationBox[{ {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], {FaceForm[RGBColor[0.8929546, 0.38966159999999994`, 0.1794008]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, {7, 0}, { Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}}], BezierCurve[{{0, 0}, {0, 0}, {4.041451884327381, 2.3333333333333335`}, {4.666666666666667, 0}, {6.06217782649107, 3.5}, {7, 0}, {2.3333333333333335`, 0}, {2.0207259421636903`, 1.1666666666666667`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], {FaceForm[RGBColor[0.8929546, 0.38966159999999994`, 0.1794008]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}, {7, 0}, { Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}}], BezierCurve[{{0, 0}, {0, 0}, {4.041451884327381, 2.3333333333333335`}, {4.666666666666667, 0}, { 6.06217782649107, 3.5}, {7, 0}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], GeometricTransformationBox[{ {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], {FaceForm[RGBColor[0.8929546, 0.38966159999999994`, 0.1794008]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[-1, 2], Rational[5, 3]}, {5, 0}, { Rational[10, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}}], BezierCurve[{{2.886751345948129, 1.6666666666666667`}, {5, 0}, { 3.3333333333333335`, 0}, {0, 0}, {4.330127018922193, 2.5}, { 1.6666666666666667`, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], {FaceForm[RGBColor[0.8929546, 0.38966159999999994`, 0.1794008]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[-1, 2], Rational[5, 3]}, {5, 0}, { Rational[10, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}}], BezierCurve[{{2.886751345948129, 1.6666666666666667`}, {5, 0}, { 3.3333333333333335`, 0}, {0, 0}, {4.330127018922193, 2.5}, { 1.6666666666666667`, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.471412, 0.108766, 0.527016], GeometricTransformationBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {2, 0}, {3^Rational[1, 2], 1}, {1, 0}, {0, 0}, {0, 0}, {3, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}], BezierCurve[{{2.598076211353316, 1.5}, {2, 0}, { 1.7320508075688772`, 1}, {1, 0}, {0, 0}, {0, 0}, {3, 0}, { 0.8660254037844386, 0.5}}]]]}}, GeometricTransformationBox[ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { 2, 0}, {3^Rational[1, 2], 1}, {1, 0}, {0, 0}, {0, 0}, {3, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}], BezierCurve[{{2.598076211353316, 1.5}, {2, 0}, { 1.7320508075688772`, 1}, {1, 0}, {0, 0}, {0, 0}, {3, 0}, { 0.8660254037844386, 0.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.780395972378644*^9, 3.7803959914584093`*^9}, { 3.780396095842421*^9, 3.780396230900197*^9}, {3.780396262250168*^9, 3.780396284020586*^9}, 3.780396397455832*^9, {3.780396457945063*^9, 3.7803964648201103`*^9}, 3.780396691434078*^9, {3.780396924561651*^9, 3.780396954303347*^9}, {3.780397099760519*^9, 3.7803971060309353`*^9}, { 3.7803971965867968`*^9, 3.7803971994923077`*^9}, {3.780397302276845*^9, 3.78039730488511*^9}, 3.780397445007362*^9, 3.780399857973111*^9, { 3.7803999069363194`*^9, 3.780399920370541*^9}, {3.780400083187571*^9, 3.780400136618594*^9}, 3.78040019871835*^9, 3.780400232657566*^9, 3.780400372182777*^9, 3.780400496492489*^9, 3.780401125350338*^9, 3.780401288195386*^9, 3.7804018107064543`*^9, 3.780402265305092*^9, 3.780402393620893*^9, 3.848507707432672*^9, 3.859193969856744*^9}, CellLabel->"Out[4]=", CellID->902534495] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Options", "Subsection", TaggingRules->{}, CellID->890561554], Cell[CellGroupData[{ Cell["ColorFunction", "Subsubsection", TaggingRules->{}, CellID->198635026], Cell[TextData[{ "The function given to ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["ColorFunction", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/ColorFunction", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " is run over ", Cell[BoxData[ RowBox[{ TagBox[ ButtonBox[ StyleBox["Range", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/Range", ContentPadding->False], MouseAppearanceTag["LinkHand"]], "[", RowBox[{"0", ",", "1", ",", "0.1"}], "]"}]], "InlineFormula", FontFamily->"Source Sans Pro"], " and the obtained colors are used to colorize the mandala. By default no \ colorizing is done and ", Cell[BoxData[ RowBox[{ TagBox[ ButtonBox[ StyleBox["ColorFunction", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/ColorFunction", ContentPadding->False], MouseAppearanceTag["LinkHand"]], "\[Rule]", TagBox[ ButtonBox[ StyleBox["None", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/None", ContentPadding->False], MouseAppearanceTag["LinkHand"]]}]], "InlineFormula", FontFamily->"Source Sans Pro"], "." }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779530269915707*^9, 3.779530340802986*^9}, { 3.779813262971105*^9, 3.779813319977639*^9}, {3.780398748387518*^9, 3.780398748735271*^9}, {3.865522997285632*^9, 3.865523016676697*^9}, { 3.8660207426656227`*^9, 3.866020742665737*^9}}, CellID->336355368], Cell[TextData[{ Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["ColorFunction", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/ColorFunction", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " can also take strings that are color schemes known by ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["ColorData", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/ColorData", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], "." }], "Text", TaggingRules->{}, CellChangeTimes->{{3.780398754101062*^9, 3.780398814188437*^9}, { 3.7804020049329987`*^9, 3.7804020056639347`*^9}, {3.865523037041163*^9, 3.8655230534060497`*^9}}, CellID->275444497], Cell["\<\ Here is a list of colorized mandalas using single-mandala mode:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.780398823806905*^9, 3.780398858987082*^9}}, CellID->901857704], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"SeedRandom", "[", "17", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"ColorFunction", "\[Rule]", RowBox[{"ColorData", "[", "cf", "]"}]}], ",", RowBox[{"PlotLabel", "\[Rule]", " ", "cf"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"cf", ",", RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.77953037370051*^9, 3.779530382867572*^9}, { 3.779553317481024*^9, 3.779553405670693*^9}, {3.780355671499227*^9, 3.780355672017824*^9}, {3.780398708407544*^9, 3.780398738487629*^9}, { 3.780402031351685*^9, 3.780402073435117*^9}}, CellLabel->"In[1]:=", CellID->470612309], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[0.2484884, 0.3863264, 0.813373]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {10, 0}, {5, 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, {0, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}, {0, 0}, {0, 0}, { 4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {10, 0}, {5, 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, {0, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {7.216878364870323, 4.166666666666667}, { 0, 0}, {0, 0}, {4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["\"Rainbow\"", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[0.6612548, 0.3598462, 0.15670679999999998`]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {10, 0}, {5, 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, {0, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}, {0, 0}, {0, 0}, { 4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.396811, 0.31014, 0.204105]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {10, 0}, {5, 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, {0, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {7.216878364870323, 4.166666666666667}, { 0, 0}, {0, 0}, {4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["\"SouthwestColors\"", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.512227148190099, 0.42680966628910977`, 0.9998892092475745]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {10, 0}, {5, 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, {0, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}, {0, 0}, {0, 0}, { 4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.90222, 0.101808, 0.198306]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {10, 0}, {5, 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, {0, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {7.216878364870323, 4.166666666666667}, { 0, 0}, {0, 0}, {4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["\"BrightBands\"", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {10, 0}, {5, 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, {0, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}, {0, 0}, {0, 0}, { 4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.16791, 0., 0.301671]], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {10, 0}, {5, 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, {0, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {7.216878364870323, 4.166666666666667}, { 0, 0}, {0, 0}, {4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["\"DeepSeaColors\"", TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.779530189466844*^9, 3.7795303832531347`*^9, 3.779530696077829*^9, 3.779549725888031*^9, 3.7795520781178617`*^9, {3.779553318643825*^9, 3.7795534059124937`*^9}, 3.779554207225411*^9, 3.779554822981872*^9, 3.780352327237673*^9, 3.780355672487226*^9, 3.780396924702713*^9, 3.780397445110383*^9, {3.7803987015144377`*^9, 3.7803987389092627`*^9}, 3.780399858119697*^9, 3.780400232810481*^9, 3.780400372292354*^9, 3.780401125565481*^9, 3.780401288866192*^9, 3.780401810828774*^9, { 3.780402034635741*^9, 3.780402073893982*^9}, 3.780402265443681*^9, 3.780402393738154*^9, 3.848507231353868*^9, 3.8485077075300207`*^9, 3.8591939698901043`*^9}, CellLabel->"Out[1]=", CellID->893648241] }, Open ]], Cell["Here are mandalas generated using multi-mandala mode:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7803986291237*^9, 3.7803986341406507`*^9}, { 3.780398666519458*^9, 3.780398688985127*^9}, {3.7804019865499687`*^9, 3.7804019922535048`*^9}}, CellID->695037141], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"SeedRandom", "[", "74", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"7", ",", "6", ",", "4"}], "}"}]}], ",", RowBox[{"ColorFunction", "\[Rule]", "cf"}], ",", RowBox[{"PlotLabel", "\[Rule]", " ", "cf"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"cf", ",", RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.77953037370051*^9, 3.779530382867572*^9}, { 3.779553317481024*^9, 3.779553405670693*^9}, {3.7803535642050257`*^9, 3.7803536154262466`*^9}, {3.780353652903132*^9, 3.7803537674503593`*^9}, { 3.780353799959899*^9, 3.780353843953443*^9}, {3.78035387791236*^9, 3.78035388358661*^9}, {3.780353999750248*^9, 3.7803540101649647`*^9}, { 3.780355409991108*^9, 3.7803555198784237`*^9}, {3.780355559101288*^9, 3.780355611131426*^9}, {3.780355660316709*^9, 3.780355660880186*^9}, { 3.780398639914453*^9, 3.780398658039859*^9}, {3.7803987341920958`*^9, 3.780398734437459*^9}, {3.780401826527835*^9, 3.780401892577033*^9}, { 3.780402166104003*^9, 3.7804021768708963`*^9}}, CellLabel->"In[2]:=", CellID->628358562], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[{ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], GeometricTransformationBox[{ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {7, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}], BezierCurve[{{0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]]}}, GeometricTransformationBox[ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {7, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}], BezierCurve[{{0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.8083416, 0.7110806, 0.255976], GeometricTransformationBox[{ {RGBColor[0.8083416, 0.7110806, 0.255976], {FaceForm[RGBColor[0.8083416, 0.7110806, 0.255976]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {6, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{2, 0}, {4, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {6, 0}, {5.196152422706632, 3}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8083416, 0.7110806, 0.255976], {FaceForm[RGBColor[0.8083416, 0.7110806, 0.255976]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {6, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{2, 0}, {4, 0}, {3.4641016151377544`, 2}, { 0, 0}, {1.7320508075688772`, 1}, {6, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], GeometricTransformationBox[{ {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], {FaceForm[RGBColor[0.8929546, 0.38966159999999994`, 0.1794008]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}, {4, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {4, 0}, {0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], {FaceForm[RGBColor[0.8929546, 0.38966159999999994`, 0.1794008]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}, {4, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {4, 0}, {0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, PlotLabel->FormBox["\"Rainbow\"", TraditionalForm]], ",", GraphicsBox[{ {RGBColor[0.7107918000000001, 0.4905029000000001, 0.2686893000000001], GeometricTransformationBox[{ {RGBColor[0.7107918000000001, 0.4905029000000001, 0.2686893000000001], {FaceForm[RGBColor[ 0.7107918000000001, 0.4905029000000001, 0.2686893000000001]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {7, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}], BezierCurve[{{0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]]}}, GeometricTransformationBox[ {RGBColor[ 0.7107918000000001, 0.4905029000000001, 0.2686893000000001], {FaceForm[RGBColor[ 0.7107918000000001, 0.4905029000000001, 0.2686893000000001]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {7, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}], BezierCurve[{{0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.7998088, 0.7938813, 0.3432391999999999], GeometricTransformationBox[{ {RGBColor[0.7998088, 0.7938813, 0.3432391999999999], {FaceForm[RGBColor[0.7998088, 0.7938813, 0.3432391999999999]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {6, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{2, 0}, {4, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {6, 0}, {5.196152422706632, 3}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.7998088, 0.7938813, 0.3432391999999999], {FaceForm[RGBColor[0.7998088, 0.7938813, 0.3432391999999999]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {6, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{2, 0}, {4, 0}, {3.4641016151377544`, 2}, { 0, 0}, {1.7320508075688772`, 1}, {6, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.5383754999999999, 0.6729875, 0.49908170000000024`], GeometricTransformationBox[{ {RGBColor[0.5383754999999999, 0.6729875, 0.49908170000000024`], {FaceForm[RGBColor[ 0.5383754999999999, 0.6729875, 0.49908170000000024`]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}, {4, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {4, 0}, {0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}}]]]}}, GeometricTransformationBox[ {RGBColor[0.5383754999999999, 0.6729875, 0.49908170000000024`], {FaceForm[RGBColor[ 0.5383754999999999, 0.6729875, 0.49908170000000024`]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}, {4, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {4, 0}, {0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, PlotLabel->FormBox["\"SouthwestColors\"", TraditionalForm]], ",", GraphicsBox[{ {RGBColor[0.7494445735287143, 0.6918528382415734, 0.9996537797815309], GeometricTransformationBox[{ {RGBColor[0.7494445735287143, 0.6918528382415734, 0.9996537797815309], {FaceForm[RGBColor[ 0.7494445735287143, 0.6918528382415734, 0.9996537797815309]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {7, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}], BezierCurve[{{0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]]}}, GeometricTransformationBox[ {RGBColor[ 0.7494445735287143, 0.6918528382415734, 0.9996537797815309], {FaceForm[RGBColor[ 0.7494445735287143, 0.6918528382415734, 0.9996537797815309]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {7, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}], BezierCurve[{{0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.9783995078041606, 0.9467332737623645, 0.281985850997462], GeometricTransformationBox[{ {RGBColor[ 0.9783995078041606, 0.9467332737623645, 0.281985850997462], {FaceForm[RGBColor[ 0.9783995078041606, 0.9467332737623645, 0.281985850997462]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {6, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{2, 0}, {4, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {6, 0}, {5.196152422706632, 3}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.9783995078041606, 0.9467332737623645, 0.281985850997462], {FaceForm[RGBColor[ 0.9783995078041606, 0.9467332737623645, 0.281985850997462]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {6, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{2, 0}, {4, 0}, {3.4641016151377544`, 2}, { 0, 0}, {1.7320508075688772`, 1}, {6, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[1., 0.6019458954022784, 0.20411381416380536`], GeometricTransformationBox[{ {RGBColor[1., 0.6019458954022784, 0.20411381416380536`], {FaceForm[RGBColor[1., 0.6019458954022784, 0.20411381416380536`]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}, {4, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {4, 0}, {0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}}]]]}}, GeometricTransformationBox[ {RGBColor[1., 0.6019458954022784, 0.20411381416380536`], {FaceForm[RGBColor[1., 0.6019458954022784, 0.20411381416380536`]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}, {4, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {4, 0}, {0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, PlotLabel->FormBox["\"BrightBands\"", TraditionalForm]], ",", GraphicsBox[{ {RGBColor[0.2917374, 0.11413976000000005`, 0.6482166], GeometricTransformationBox[{ {RGBColor[0.2917374, 0.11413976000000005`, 0.6482166], {FaceForm[RGBColor[0.2917374, 0.11413976000000005`, 0.6482166]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {7, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}], BezierCurve[{{0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]]}}, GeometricTransformationBox[ {RGBColor[0.2917374, 0.11413976000000005`, 0.6482166], {FaceForm[RGBColor[0.2917374, 0.11413976000000005`, 0.6482166]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {7, 0}, { 7 3^Rational[-1, 2], Rational[7, 3]}, {Rational[7, 3], 0}, { Rational[7, 2] 3^Rational[-1, 2], Rational[7, 6]}, {0, 0}, { Rational[14, 3], 0}, { Rational[7, 2] 3^Rational[1, 2], Rational[7, 2]}}], BezierCurve[{{0, 0}, {7, 0}, {4.041451884327381, 2.3333333333333335`}, {2.3333333333333335`, 0}, { 2.0207259421636903`, 1.1666666666666667`}, {0, 0}, { 4.666666666666667, 0}, {6.06217782649107, 3.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.2729462, 0.5950244000000001, 0.9451238000000001], GeometricTransformationBox[{ {RGBColor[0.2729462, 0.5950244000000001, 0.9451238000000001], {FaceForm[RGBColor[ 0.2729462, 0.5950244000000001, 0.9451238000000001]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {6, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{2, 0}, {4, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {6, 0}, {5.196152422706632, 3}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.2729462, 0.5950244000000001, 0.9451238000000001], {FaceForm[RGBColor[ 0.2729462, 0.5950244000000001, 0.9451238000000001]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {6, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{2, 0}, {4, 0}, {3.4641016151377544`, 2}, { 0, 0}, {1.7320508075688772`, 1}, {6, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.5761666000000001, 0.8195192, 0.9884546], GeometricTransformationBox[{ {RGBColor[0.5761666000000001, 0.8195192, 0.9884546], {FaceForm[RGBColor[0.5761666000000001, 0.8195192, 0.9884546]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}, {4, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {4, 0}, {0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}}]]]}}, GeometricTransformationBox[ {RGBColor[0.5761666000000001, 0.8195192, 0.9884546], {FaceForm[RGBColor[0.5761666000000001, 0.8195192, 0.9884546]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}, {4, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {4, 0}, {0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, PlotLabel->FormBox["\"DeepSeaColors\"", TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.780354010827001*^9, {3.780355410943349*^9, 3.7803555222999077`*^9}, { 3.780355559566243*^9, 3.780355629633761*^9}, {3.780355661446582*^9, 3.780355674522629*^9}, 3.780396924797756*^9, 3.7803974451733217`*^9, { 3.780398640713986*^9, 3.780398658581655*^9}, {3.780398717940898*^9, 3.7803987351465797`*^9}, 3.780399858173492*^9, 3.78040023286283*^9, 3.780400372346031*^9, 3.780401125664921*^9, 3.7804012889168653`*^9, { 3.7804018108812227`*^9, 3.7804018931157103`*^9}, 3.7804020374278708`*^9, { 3.780402166774561*^9, 3.7804021772547817`*^9}, 3.7804022654936237`*^9, 3.780402393810329*^9, 3.848507707590281*^9, 3.859193969913808*^9}, CellLabel->"Out[2]=", CellID->831643086] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["ConnectingFunction", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7792104475045767`*^9, 3.779210450452279*^9}, { 3.779210532590407*^9, 3.779210535986945*^9}, {3.779813617292745*^9, 3.7798136188202763`*^9}}, CellID->370897973], Cell[TextData[{ "The option ", Cell[BoxData["\"\\""], "InlineFormula", FontFamily->"Source Sans Pro"], " specifies which graphics primitive to use over the seed segment points:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779211872445244*^9, 3.7792119374235077`*^9}, { 3.779555224365015*^9, 3.77955523753621*^9}, 3.779813581386714*^9, { 3.865523096398834*^9, 3.865523098790946*^9}}, CellID->357780959], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "263", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "cf"}], ",", RowBox[{"PlotLabel", "\[Rule]", " ", "cf"}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"cf", ",", RowBox[{"{", RowBox[{"Line", ",", "Arrow", ",", "Polygon", ",", "BezierCurve", ",", RowBox[{"FilledCurve", "@*", "BezierCurve"}]}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792096816355667`*^9, 3.779209715576331*^9}, { 3.779209822736602*^9, 3.7792098279882298`*^9}, {3.779209917993441*^9, 3.7792099429427433`*^9}, {3.779209977584106*^9, 3.779209990182027*^9}, { 3.779210021719304*^9, 3.7792100595641727`*^9}, {3.779210132816928*^9, 3.7792102201386213`*^9}, {3.7792102857846823`*^9, 3.77921029146478*^9}, { 3.7792103389880943`*^9, 3.779210494339717*^9}, {3.779210540327084*^9, 3.779210643070304*^9}, 3.7792110519571323`*^9, {3.779211958284672*^9, 3.7792119585187473`*^9}, {3.779212001012145*^9, 3.779212096661046*^9}, { 3.7795532455249767`*^9, 3.779553271406996*^9}, {3.7795534241548347`*^9, 3.779553457059461*^9}}, CellLabel->"In[1]:=", CellID->94788873], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {8.660254037844386, 5}, { 1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, {1.6666666666666667`, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, {5, 0}, {0, 0}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, { 1.6666666666666667`, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["Line", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], ArrowBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {8.660254037844386, 5}, { 1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, {1.6666666666666667`, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], ArrowBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, {5, 0}, {0, 0}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, { 1.6666666666666667`, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["Arrow", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {8.660254037844386, 5}, { 1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, {1.6666666666666667`, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, {5, 0}, {0, 0}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, { 1.6666666666666667`, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["Polygon", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {8.660254037844386, 5}, { 1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, {1.6666666666666667`, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, {5, 0}, {0, 0}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, { 1.6666666666666667`, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["BezierCurve", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{10, 0}, {3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, {5, 0}, {0, 0}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, {0, 0}, { 1.6666666666666667`, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{10, 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {0, 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{10, 0}, {3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, {5, 0}, {0, 0}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, { 6.666666666666667, 0}, {0, 0}, {1.6666666666666667`, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox[ RowBox[{"FilledCurve", "@*", "BezierCurve"}], TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.779530189527767*^9, 3.779530696134408*^9, 3.779549725936206*^9, 3.7795520781827602`*^9, {3.7795532468634243`*^9, 3.779553288482802*^9}, { 3.779553427011969*^9, 3.7795534573050117`*^9}, 3.7795542072861958`*^9, 3.7795548230430193`*^9, 3.780352327306759*^9, 3.780396924985127*^9, 3.780397445238615*^9, 3.780399858267785*^9, 3.780400232938692*^9, 3.78040037238885*^9, 3.780401125882422*^9, 3.780401288963827*^9, 3.780401810925457*^9, 3.780402265579844*^9, 3.780402393887314*^9, 3.8485077076532803`*^9, 3.859193969929036*^9}, CellLabel->"Out[1]=", CellID->348736968] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["EdgeForm", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.8485068145658817`*^9, 3.84850681925714*^9}}, CellID->504700221], Cell[TextData[{ "The option ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["EdgeForm", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/EdgeForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " specifies directives for the edges of polygons or other filled graphics \ objects:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.84850666167517*^9, 3.848506726420391*^9}, { 3.848506765523926*^9, 3.848506804856717*^9}, {3.848506834905919*^9, 3.848506841633451*^9}, 3.8591942209452543`*^9}, CellID->38453676], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "42", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "->", "8"}], ",", RowBox[{"\"\\"", "->", "5"}], ",", RowBox[{"\"\\"", "->", RowBox[{"FilledCurve", "@*", "BezierCurve"}]}], ",", RowBox[{"EdgeForm", "\[Rule]", RowBox[{"{", RowBox[{"Red", ",", "Thick"}], "}"}]}]}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.8485054508279257`*^9, 3.8485055079095287`*^9}, { 3.848505715971634*^9, 3.848505759769725*^9}, 3.848505844904539*^9, { 3.848505894650962*^9, 3.848505938749617*^9}, {3.848506379465135*^9, 3.84850639072604*^9}, {3.848506562978085*^9, 3.8485066114099817`*^9}, { 3.8485068480244627`*^9, 3.848506889661951*^9}, {3.8485072661572027`*^9, 3.848507305981728*^9}}, CellLabel->"In[1]:=", CellID->203507191], Cell[BoxData[ GraphicsBox[ {EdgeForm[{RGBColor[1, 0, 0], Thickness[Large]}], GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{ 1 + 5^Rational[1, 2], 4 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, { Rational[4, 3] (1 + 5^Rational[1, 2]), Rational[ 16, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 3] (1 + 5^Rational[1, 2]), Rational[4, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { 2 (1 + 5^Rational[1, 2]), 8 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[16, 3], 0}, {8, 0}, { Rational[20, 3], 0}, {0, 0}, { Rational[2, 3] (1 + 5^Rational[1, 2]), Rational[8, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[4, 3], 0}, {4, 0}, { Rational[8, 3], 0}, { Rational[5, 3] (1 + 5^Rational[1, 2]), Rational[ 20, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{3.23606797749979, 2.3511410091698925`}, {0, 0}, { 4.314757303333053, 3.13485467889319}, {1.0786893258332633`, 0.7837136697232975}, {6.47213595499958, 4.702282018339785}, { 5.333333333333333, 0}, {8, 0}, {6.666666666666667, 0}, {0, 0}, { 2.1573786516665265`, 1.567427339446595}, {1.3333333333333333`, 0}, { 4, 0}, {2.6666666666666665`, 0}, {5.393446629166316, 3.9185683486164877`}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{ 1 + 5^Rational[1, 2], 4 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, { Rational[4, 3] (1 + 5^Rational[1, 2]), Rational[ 16, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 3] (1 + 5^Rational[1, 2]), Rational[ 4, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { 2 (1 + 5^Rational[1, 2]), 8 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[16, 3], 0}, {8, 0}, { Rational[20, 3], 0}, {0, 0}, { Rational[2, 3] (1 + 5^Rational[1, 2]), Rational[ 8, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[4, 3], 0}, {4, 0}, { Rational[8, 3], 0}, { Rational[5, 3] (1 + 5^Rational[1, 2]), Rational[ 20, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{3.23606797749979, 2.3511410091698925`}, {0, 0}, { 4.314757303333053, 3.13485467889319}, {1.0786893258332633`, 0.7837136697232975}, {6.47213595499958, 4.702282018339785}, { 5.333333333333333, 0}, {8, 0}, {6.666666666666667, 0}, {0, 0}, { 2.1573786516665265`, 1.567427339446595}, { 1.3333333333333333`, 0}, {4, 0}, {2.6666666666666665`, 0}, { 5.393446629166316, 3.9185683486164877`}}]]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{1, 0}, {0, 1}}, {{ 0.30901699437494745`, -0.9510565162951535}, {0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, {{ 0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.848507262612167*^9, 3.848507306275096*^9}, 3.8485077085681973`*^9, 3.8591939699434147`*^9}, CellLabel->"Out[2]=", CellID->967572671] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["FaceForm", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.848506650188796*^9, 3.848506657152898*^9}, { 3.848506808490356*^9, 3.848506809615481*^9}}, CellID->794214821], Cell[TextData[{ "The option ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["FaceForm", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/FaceForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " specifies directives for the faces of polygons or other filled graphics \ objects:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.84850666167517*^9, 3.848506726420391*^9}, { 3.848506765523926*^9, 3.848506804856717*^9}}, CellID->41078177], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "8", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "->", RowBox[{"{", RowBox[{"6", ",", "8", ",", "4"}], "}"}]}], ",", RowBox[{"ColorFunction", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "->", RowBox[{"FilledCurve", "@*", "BezierCurve"}]}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Row", "[", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"Spacer", "[", "3", "]"}], ",", "op"}], "}"}], "]"}]}], ",", RowBox[{"FaceForm", "\[Rule]", RowBox[{"{", RowBox[{"Opacity", "[", "op", "]"}], "}"}]}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"op", ",", RowBox[{"{", RowBox[{"0.4", ",", "0.6", ",", "1"}], "}"}]}], "}"}]}], "]"}]], "Input",\ TaggingRules->{}, CellChangeTimes->{{3.848507085313362*^9, 3.848507207970183*^9}, 3.848507250370447*^9, {3.848507320564789*^9, 3.84850769326924*^9}, { 3.84851902407574*^9, 3.848519028877839*^9}}, CellLabel->"In[1]:=", CellID->723041635], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {EdgeForm[None], FaceForm[Opacity[0.4]], GeometricTransformationBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{3 3^Rational[1, 2], 3}, {2, 0}, {6, 0}, {0, 0}, { 2 3^Rational[1, 2], 2}, {0, 0}, {3^Rational[1, 2], 1}, {4, 0}}], BezierCurve[{{5.196152422706632, 3}, {2, 0}, {6, 0}, {0, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {4, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{3 3^Rational[1, 2], 3}, {2, 0}, {6, 0}, {0, 0}, { 2 3^Rational[1, 2], 2}, {0, 0}, {3^Rational[1, 2], 1}, {4, 0}}], BezierCurve[{{5.196152422706632, 3}, {2, 0}, {6, 0}, {0, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {4, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.2484884, 0.3863264, 0.813373], {EdgeForm[None], FaceForm[Opacity[0.4]], GeometricTransformationBox[{ {RGBColor[0.2484884, 0.3863264, 0.813373], {FaceForm[RGBColor[0.2484884, 0.3863264, 0.813373]], FilledCurveBox[NCache[ BezierCurve[{{8 3^Rational[-1, 2], Rational[8, 3]}, {8, 0}, {0, 0}, {4 3^Rational[1, 2], 4}, {Rational[16, 3], 0}, { Rational[8, 3], 0}, {0, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{4.618802153517007, 2.6666666666666665`}, {8, 0}, { 0, 0}, {6.928203230275509, 4}, {5.333333333333333, 0}, { 2.6666666666666665`, 0}, {0, 0}, {2.3094010767585034`, 1.3333333333333333`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.2484884, 0.3863264, 0.813373], {FaceForm[RGBColor[0.2484884, 0.3863264, 0.813373]], FilledCurveBox[NCache[ BezierCurve[{{8 3^Rational[-1, 2], Rational[8, 3]}, {8, 0}, {0, 0}, {4 3^Rational[1, 2], 4}, {Rational[16, 3], 0}, { Rational[8, 3], 0}, {0, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{4.618802153517007, 2.6666666666666665`}, {8, 0}, { 0, 0}, {6.928203230275509, 4}, {5.333333333333333, 0}, { 2.6666666666666665`, 0}, {0, 0}, {2.3094010767585034`, 1.3333333333333333`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {EdgeForm[None], FaceForm[Opacity[0.4]], GeometricTransformationBox[{ {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {FaceForm[RGBColor[0.38822480000000004`, 0.674195, 0.6035436]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}, {4, 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {0, 0}}], BezierCurve[{{2.6666666666666665`, 0}, {2.3094010767585034`, 1.3333333333333333`}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}, {4, 0}, {0, 0}, {1.1547005383792517`, 0.6666666666666666}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {FaceForm[RGBColor[0.38822480000000004`, 0.674195, 0.6035436]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}, {4, 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {0, 0}}], BezierCurve[{{2.6666666666666665`, 0}, {2.3094010767585034`, 1.3333333333333333`}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}, {4, 0}, {0, 0}, {1.1547005383792517`, 0.6666666666666666}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}}, PlotLabel->FormBox[ TemplateBox[{"\"Opacity:\"", TemplateBox[{3}, "Spacer1"], "0.4`"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {EdgeForm[None], FaceForm[Opacity[0.6]], GeometricTransformationBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{3 3^Rational[1, 2], 3}, {2, 0}, {6, 0}, {0, 0}, { 2 3^Rational[1, 2], 2}, {0, 0}, {3^Rational[1, 2], 1}, {4, 0}}], BezierCurve[{{5.196152422706632, 3}, {2, 0}, {6, 0}, {0, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {4, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{3 3^Rational[1, 2], 3}, {2, 0}, {6, 0}, {0, 0}, { 2 3^Rational[1, 2], 2}, {0, 0}, {3^Rational[1, 2], 1}, {4, 0}}], BezierCurve[{{5.196152422706632, 3}, {2, 0}, {6, 0}, {0, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {4, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.2484884, 0.3863264, 0.813373], {EdgeForm[None], FaceForm[Opacity[0.6]], GeometricTransformationBox[{ {RGBColor[0.2484884, 0.3863264, 0.813373], {FaceForm[RGBColor[0.2484884, 0.3863264, 0.813373]], FilledCurveBox[NCache[ BezierCurve[{{8 3^Rational[-1, 2], Rational[8, 3]}, {8, 0}, {0, 0}, {4 3^Rational[1, 2], 4}, {Rational[16, 3], 0}, { Rational[8, 3], 0}, {0, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{4.618802153517007, 2.6666666666666665`}, {8, 0}, { 0, 0}, {6.928203230275509, 4}, {5.333333333333333, 0}, { 2.6666666666666665`, 0}, {0, 0}, {2.3094010767585034`, 1.3333333333333333`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.2484884, 0.3863264, 0.813373], {FaceForm[RGBColor[0.2484884, 0.3863264, 0.813373]], FilledCurveBox[NCache[ BezierCurve[{{8 3^Rational[-1, 2], Rational[8, 3]}, {8, 0}, {0, 0}, {4 3^Rational[1, 2], 4}, {Rational[16, 3], 0}, { Rational[8, 3], 0}, {0, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{4.618802153517007, 2.6666666666666665`}, {8, 0}, { 0, 0}, {6.928203230275509, 4}, {5.333333333333333, 0}, { 2.6666666666666665`, 0}, {0, 0}, {2.3094010767585034`, 1.3333333333333333`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {EdgeForm[None], FaceForm[Opacity[0.6]], GeometricTransformationBox[{ {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {FaceForm[RGBColor[0.38822480000000004`, 0.674195, 0.6035436]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}, {4, 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {0, 0}}], BezierCurve[{{2.6666666666666665`, 0}, {2.3094010767585034`, 1.3333333333333333`}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}, {4, 0}, {0, 0}, {1.1547005383792517`, 0.6666666666666666}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {FaceForm[RGBColor[0.38822480000000004`, 0.674195, 0.6035436]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}, {4, 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {0, 0}}], BezierCurve[{{2.6666666666666665`, 0}, {2.3094010767585034`, 1.3333333333333333`}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}, {4, 0}, {0, 0}, {1.1547005383792517`, 0.6666666666666666}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}}, PlotLabel->FormBox[ TemplateBox[{"\"Opacity:\"", TemplateBox[{3}, "Spacer1"], "0.6`"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {EdgeForm[None], FaceForm[Opacity[1]], GeometricTransformationBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{3 3^Rational[1, 2], 3}, {2, 0}, {6, 0}, {0, 0}, { 2 3^Rational[1, 2], 2}, {0, 0}, {3^Rational[1, 2], 1}, {4, 0}}], BezierCurve[{{5.196152422706632, 3}, {2, 0}, {6, 0}, {0, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {4, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{3 3^Rational[1, 2], 3}, {2, 0}, {6, 0}, {0, 0}, { 2 3^Rational[1, 2], 2}, {0, 0}, {3^Rational[1, 2], 1}, {4, 0}}], BezierCurve[{{5.196152422706632, 3}, {2, 0}, {6, 0}, {0, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {4, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.2484884, 0.3863264, 0.813373], {EdgeForm[None], FaceForm[Opacity[1]], GeometricTransformationBox[{ {RGBColor[0.2484884, 0.3863264, 0.813373], {FaceForm[RGBColor[0.2484884, 0.3863264, 0.813373]], FilledCurveBox[NCache[ BezierCurve[{{8 3^Rational[-1, 2], Rational[8, 3]}, {8, 0}, {0, 0}, {4 3^Rational[1, 2], 4}, {Rational[16, 3], 0}, { Rational[8, 3], 0}, {0, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{4.618802153517007, 2.6666666666666665`}, {8, 0}, { 0, 0}, {6.928203230275509, 4}, {5.333333333333333, 0}, { 2.6666666666666665`, 0}, {0, 0}, {2.3094010767585034`, 1.3333333333333333`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.2484884, 0.3863264, 0.813373], {FaceForm[RGBColor[0.2484884, 0.3863264, 0.813373]], FilledCurveBox[NCache[ BezierCurve[{{8 3^Rational[-1, 2], Rational[8, 3]}, {8, 0}, {0, 0}, {4 3^Rational[1, 2], 4}, {Rational[16, 3], 0}, { Rational[8, 3], 0}, {0, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{4.618802153517007, 2.6666666666666665`}, {8, 0}, { 0, 0}, {6.928203230275509, 4}, {5.333333333333333, 0}, { 2.6666666666666665`, 0}, {0, 0}, {2.3094010767585034`, 1.3333333333333333`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {EdgeForm[None], FaceForm[Opacity[1]], GeometricTransformationBox[{ {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {FaceForm[RGBColor[0.38822480000000004`, 0.674195, 0.6035436]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}, {4, 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {0, 0}}], BezierCurve[{{2.6666666666666665`, 0}, {2.3094010767585034`, 1.3333333333333333`}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}, {4, 0}, {0, 0}, {1.1547005383792517`, 0.6666666666666666}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.38822480000000004`, 0.674195, 0.6035436], {FaceForm[RGBColor[0.38822480000000004`, 0.674195, 0.6035436]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}, {4, 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {0, 0}}], BezierCurve[{{2.6666666666666665`, 0}, {2.3094010767585034`, 1.3333333333333333`}, {1.3333333333333333`, 0}, { 3.4641016151377544`, 2}, {4, 0}, {0, 0}, {1.1547005383792517`, 0.6666666666666666}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}}, PlotLabel->FormBox[ TemplateBox[{"\"Opacity:\"", TemplateBox[{3}, "Spacer1"], "1"}, "RowDefault"], TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.8485071427015047`*^9, 3.8485072083714046`*^9}, 3.848507255580905*^9, {3.848507320962679*^9, 3.8485077086382647`*^9}, { 3.848519024466929*^9, 3.848519029376499*^9}, 3.859193969969202*^9}, CellLabel->"Out[1]=", CellID->379858735] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["KeepGridPoints", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7792104475045767`*^9, 3.779210450452279*^9}, { 3.779210532590407*^9, 3.779210535986945*^9}, {3.779215553456703*^9, 3.779215559902858*^9}, {3.779813624625099*^9, 3.779813625421233*^9}}, CellID->410024071], Cell[TextData[{ "The option ", Cell[BoxData["\"\\""], "InlineFormula", FontFamily->"Source Sans Pro"], " specifies whether the points used to generate the seed segment should be \ kept:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779211872445244*^9, 3.7792119374235077`*^9}, { 3.779215717293913*^9, 3.7792157465658092`*^9}, 3.779813587035244*^9, 3.865523132613369*^9}, CellID->263691631], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "163", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "k"}], ",", RowBox[{"\"\\"", "\[Rule]", "3"}], ",", RowBox[{"\"\\"", "\[Rule]", "6"}], ",", RowBox[{"PlotLabel", "\[Rule]", " ", "k"}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"k", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792096816355667`*^9, 3.779209715576331*^9}, { 3.779209822736602*^9, 3.7792098279882298`*^9}, {3.779209917993441*^9, 3.7792099429427433`*^9}, {3.779209977584106*^9, 3.779209990182027*^9}, { 3.779210021719304*^9, 3.7792100595641727`*^9}, {3.779210132816928*^9, 3.7792102201386213`*^9}, {3.7792102857846823`*^9, 3.77921029146478*^9}, { 3.7792103389880943`*^9, 3.779210494339717*^9}, {3.779210540327084*^9, 3.779210643070304*^9}, 3.7792110519571323`*^9, {3.779211958284672*^9, 3.7792119585187473`*^9}, {3.779212001012145*^9, 3.779212096661046*^9}, { 3.779215590316019*^9, 3.7792157025445223`*^9}, {3.779263225878866*^9, 3.779263238183571*^9}}, CellLabel->"In[1]:=", CellID->701932547], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[ GeometricTransformationBox[{{PointBox[{{0, 0}, {0, 0}}], PointBox[ NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}}, {{2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}}]], PointBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}}]], PointBox[ NCache[{{5 3^Rational[1, 2], 5}, {10, 0}}, {{8.660254037844386, 5}, { 10, 0}}]], {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, {0, 0}}, {{10, 0}, {8.660254037844386, 5}, {3.3333333333333335`, 0}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 0, 0}}]]}}, GeometricTransformationBox[{PointBox[{{0, 0}, {0, 0}}], PointBox[ NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}}, {{2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}}]], PointBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}}]], PointBox[ NCache[{{5 3^Rational[1, 2], 5}, {10, 0}}, {{8.660254037844386, 5}, { 10, 0}}]], {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, {0, 0}}, {{10, 0}, {8.660254037844386, 5}, {3.3333333333333335`, 0}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 0, 0}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["True", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, {0, 0}}, {{10, 0}, {8.660254037844386, 5}, {3.3333333333333335`, 0}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, {0, 0}}, {{10, 0}, {8.660254037844386, 5}, {3.3333333333333335`, 0}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["False", TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530189582287*^9, 3.779530696189101*^9, 3.7795497259775667`*^9, 3.779552078238736*^9, 3.779554207345862*^9, 3.779554823100451*^9, 3.7803523273617773`*^9, 3.780396925038899*^9, 3.780397445303213*^9, 3.7803998584014387`*^9, 3.7804002330816174`*^9, 3.780400372430441*^9, 3.780401125954836*^9, 3.780401289007777*^9, 3.780401810968501*^9, 3.7804022656276627`*^9, 3.780402393958337*^9, 3.848507707710837*^9, 3.859193969982354*^9}, CellLabel->"Out[1]=", CellID->257166965] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "163", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "k"}], ",", RowBox[{"\"\\"", "\[Rule]", "5"}], ",", RowBox[{"\"\\"", "\[Rule]", "6"}], ",", RowBox[{"PlotLabel", "\[Rule]", " ", "k"}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"k", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792096816355667`*^9, 3.779209715576331*^9}, { 3.779209822736602*^9, 3.7792098279882298`*^9}, {3.779209917993441*^9, 3.7792099429427433`*^9}, {3.779209977584106*^9, 3.779209990182027*^9}, { 3.779210021719304*^9, 3.7792100595641727`*^9}, {3.779210132816928*^9, 3.7792102201386213`*^9}, {3.7792102857846823`*^9, 3.77921029146478*^9}, { 3.7792103389880943`*^9, 3.779210494339717*^9}, {3.779210540327084*^9, 3.779210643070304*^9}, 3.7792110519571323`*^9, {3.779211958284672*^9, 3.7792119585187473`*^9}, {3.779212001012145*^9, 3.779212096661046*^9}, { 3.779215590316019*^9, 3.779215697695903*^9}, {3.7792157558607283`*^9, 3.7792157568489513`*^9}, 3.779263244783729*^9}, CellLabel->"In[2]:=", CellID->416392047], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[ GeometricTransformationBox[{{PointBox[{{0, 0}, {0, 0}}], PointBox[ NCache[{{3^Rational[1, 2], 1}, {2, 0}}, {{1.7320508075688772`, 1}, {2, 0}}]], PointBox[ NCache[{{2 3^Rational[1, 2], 2}, {4, 0}}, {{3.4641016151377544`, 2}, { 4, 0}}]], PointBox[ NCache[{{3 3^Rational[1, 2], 3}, {6, 0}}, {{5.196152422706632, 3}, {6, 0}}]], PointBox[ NCache[{{4 3^Rational[1, 2], 4}, {8, 0}}, {{6.928203230275509, 4}, {8, 0}}]], PointBox[ NCache[{{5 3^Rational[1, 2], 5}, {10, 0}}, {{8.660254037844386, 5}, { 10, 0}}]], {GrayLevel[0.25], BezierCurveBox[ NCache[{{8, 0}, {4 3^Rational[1, 2], 4}, {2 3^Rational[1, 2], 2}, {6, 0}, {3^Rational[1, 2], 1}, {10, 0}, {0, 0}, {2, 0}, {4, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, {3 3^Rational[1, 2], 3}}, {{8, 0}, { 6.928203230275509, 4}, {3.4641016151377544`, 2}, {6, 0}, { 1.7320508075688772`, 1}, {10, 0}, {0, 0}, {2, 0}, {4, 0}, {0, 0}, { 8.660254037844386, 5}, {5.196152422706632, 3}}]]}}, GeometricTransformationBox[{PointBox[{{0, 0}, {0, 0}}], PointBox[ NCache[{{3^Rational[1, 2], 1}, {2, 0}}, {{1.7320508075688772`, 1}, { 2, 0}}]], PointBox[ NCache[{{2 3^Rational[1, 2], 2}, {4, 0}}, {{ 3.4641016151377544`, 2}, {4, 0}}]], PointBox[ NCache[{{3 3^Rational[1, 2], 3}, {6, 0}}, {{5.196152422706632, 3}, { 6, 0}}]], PointBox[ NCache[{{4 3^Rational[1, 2], 4}, {8, 0}}, {{6.928203230275509, 4}, { 8, 0}}]], PointBox[ NCache[{{5 3^Rational[1, 2], 5}, {10, 0}}, {{8.660254037844386, 5}, { 10, 0}}]], {GrayLevel[0.25], BezierCurveBox[ NCache[{{8, 0}, {4 3^Rational[1, 2], 4}, {2 3^Rational[1, 2], 2}, { 6, 0}, {3^Rational[1, 2], 1}, {10, 0}, {0, 0}, {2, 0}, {4, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, {3 3^Rational[1, 2], 3}}, {{8, 0}, { 6.928203230275509, 4}, {3.4641016151377544`, 2}, {6, 0}, { 1.7320508075688772`, 1}, {10, 0}, {0, 0}, {2, 0}, {4, 0}, {0, 0}, {8.660254037844386, 5}, {5.196152422706632, 3}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["True", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{8, 0}, {4 3^Rational[1, 2], 4}, {2 3^Rational[1, 2], 2}, {6, 0}, {3^Rational[1, 2], 1}, {10, 0}, {0, 0}, {2, 0}, {4, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, {3 3^Rational[1, 2], 3}}, {{8, 0}, { 6.928203230275509, 4}, {3.4641016151377544`, 2}, {6, 0}, { 1.7320508075688772`, 1}, {10, 0}, {0, 0}, {2, 0}, {4, 0}, {0, 0}, { 8.660254037844386, 5}, {5.196152422706632, 3}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{8, 0}, {4 3^Rational[1, 2], 4}, {2 3^Rational[1, 2], 2}, {6, 0}, {3^Rational[1, 2], 1}, {10, 0}, {0, 0}, {2, 0}, {4, 0}, {0, 0}, {5 3^Rational[1, 2], 5}, {3 3^Rational[1, 2], 3}}, {{8, 0}, { 6.928203230275509, 4}, {3.4641016151377544`, 2}, {6, 0}, { 1.7320508075688772`, 1}, {10, 0}, {0, 0}, {2, 0}, {4, 0}, {0, 0}, { 8.660254037844386, 5}, {5.196152422706632, 3}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["False", TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530189629854*^9, 3.779530696237277*^9, 3.779549726011815*^9, 3.779552078288327*^9, 3.779554207400689*^9, 3.779554823152779*^9, 3.780352327410261*^9, 3.780396925088835*^9, 3.780397445359598*^9, 3.780399858447588*^9, 3.7804002331182833`*^9, 3.780400372445546*^9, 3.780401126024431*^9, 3.780401289022127*^9, 3.78040181100432*^9, 3.780402265775351*^9, 3.7804023939729137`*^9, 3.84850770776226*^9, 3.859193969993733*^9}, CellLabel->"Out[2]=", CellID->91123044] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["NumberOfElements", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.779210757902939*^9, 3.7792107662574883`*^9}, { 3.779813629644432*^9, 3.779813630565316*^9}}, CellID->515635505], Cell[TextData[{ "The option", Cell[BoxData[ RowBox[{" ", "\"\\""}]], "InlineFormula", FontFamily->"Source Sans Pro"], " controls how may graphics elements are in the seed segment:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779211752886689*^9, 3.779211808519041*^9}, { 3.779211941575605*^9, 3.779211943611198*^9}, {3.779250952830481*^9, 3.779250955079228*^9}, {3.779555256505122*^9, 3.779555257617887*^9}, 3.779813592635495*^9}, CellID->666086599], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "200", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "n"}], ",", RowBox[{"\"\\"", "\[Rule]", "3"}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Row", "[", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"Spacer", "[", "2", "]"}], ",", " ", "n"}], "}"}], "]"}]}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"n", ",", "1", ",", "6"}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779210790996304*^9, 3.779210867823667*^9}, { 3.7792108980775003`*^9, 3.779210898581602*^9}, {3.7792109452606916`*^9, 3.779210981776726*^9}, {3.7792110580207577`*^9, 3.779211060888012*^9}, { 3.779211781487322*^9, 3.7792118328531237`*^9}, 3.7792154477696447`*^9, 3.7792632494637327`*^9, {3.779264682321988*^9, 3.7792646827925997`*^9}, { 3.779264730996026*^9, 3.779264787847101*^9}}, CellLabel->"In[1]:=", CellID->402538947], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {0, 0}, {0, 0}, {5, 5 3^Rational[1, 2]}}, {{10, 0}, { 0, 0}, {0, 0}, {5, 8.660254037844386}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {0, 0}, {0, 0}, {5, 5 3^Rational[1, 2]}}, {{10, 0}, {0, 0}, {0, 0}, {5, 8.660254037844386}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "1"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5, 5 3^Rational[1, 2]}, {10, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, {0, 0}, {0, 0}, { 5, 0}}, {{5, 8.660254037844386}, {10, 0}, {2.5, 4.330127018922193}, {0, 0}, {0, 0}, {5, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5, 5 3^Rational[1, 2]}, {10, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, {0, 0}, {0, 0}, { 5, 0}}, {{5, 8.660254037844386}, {10, 0}, {2.5, 4.330127018922193}, {0, 0}, {0, 0}, {5, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "2"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {Rational[10, 3], 10 3^Rational[-1, 2]}, { 5, 5 3^Rational[1, 2]}, {Rational[20, 3], 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {0, 0}, {0, 0}, { Rational[10, 3], 0}}, {{10, 0}, {3.3333333333333335`, 5.773502691896258}, {5, 8.660254037844386}, { 6.666666666666667, 0}, {1.6666666666666667`, 2.886751345948129}, {0, 0}, {0, 0}, {3.3333333333333335`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {Rational[10, 3], 10 3^Rational[-1, 2]}, { 5, 5 3^Rational[1, 2]}, {Rational[20, 3], 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {0, 0}, {0, 0}, { Rational[10, 3], 0}}, {{10, 0}, {3.3333333333333335`, 5.773502691896258}, {5, 8.660254037844386}, { 6.666666666666667, 0}, {1.6666666666666667`, 2.886751345948129}, { 0, 0}, {0, 0}, {3.3333333333333335`, 0}}]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "3"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 4], Rational[5, 4] 3^Rational[1, 2]}, {5, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[15, 2], 0}, {10, 0}, {0, 0}, {5, 5 3^Rational[1, 2]}, { Rational[15, 4], Rational[15, 4] 3^Rational[1, 2]}, { Rational[5, 2], 0}, {0, 0}}, {{1.25, 2.1650635094610964`}, {5, 0}, { 2.5, 4.330127018922193}, {7.5, 0}, {10, 0}, {0, 0}, { 5, 8.660254037844386}, {3.75, 6.495190528383289}, {2.5, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 4], Rational[5, 4] 3^Rational[1, 2]}, {5, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[15, 2], 0}, {10, 0}, {0, 0}, {5, 5 3^Rational[1, 2]}, { Rational[15, 4], Rational[15, 4] 3^Rational[1, 2]}, { Rational[5, 2], 0}, {0, 0}}, {{1.25, 2.1650635094610964`}, {5, 0}, {2.5, 4.330127018922193}, {7.5, 0}, {10, 0}, {0, 0}, { 5, 8.660254037844386}, {3.75, 6.495190528383289}, {2.5, 0}, {0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "4"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{1, 3^Rational[1, 2]}, {4, 0}, {8, 0}, {0, 0}, {0, 0}, { 3, 3 3^Rational[1, 2]}, {2, 0}, {6, 0}, {10, 0}, { 5, 5 3^Rational[1, 2]}, {4, 4 3^Rational[1, 2]}, { 2, 2 3^Rational[1, 2]}}, {{1, 1.7320508075688772`}, {4, 0}, {8, 0}, {0, 0}, {0, 0}, {3, 5.196152422706632}, {2, 0}, {6, 0}, {10, 0}, {5, 8.660254037844386}, {4, 6.928203230275509}, { 2, 3.4641016151377544`}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{1, 3^Rational[1, 2]}, {4, 0}, {8, 0}, {0, 0}, {0, 0}, { 3, 3 3^Rational[1, 2]}, {2, 0}, {6, 0}, {10, 0}, { 5, 5 3^Rational[1, 2]}, {4, 4 3^Rational[1, 2]}, { 2, 2 3^Rational[1, 2]}}, {{1, 1.7320508075688772`}, {4, 0}, {8, 0}, {0, 0}, {0, 0}, {3, 5.196152422706632}, {2, 0}, {6, 0}, {10, 0}, {5, 8.660254037844386}, {4, 6.928203230275509}, { 2, 3.4641016151377544`}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "5"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, {0, 0}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {5, 5 3^Rational[1, 2]}, { Rational[5, 3], 0}, {5, 0}, {0, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {10, 0}, { Rational[25, 3], 0}}, {{0.8333333333333334, 1.4433756729740645`}, { 3.3333333333333335`, 0}, {6.666666666666667, 0}, {0, 0}, { 4.166666666666667, 7.216878364870323}, {3.3333333333333335`, 5.773502691896258}, {5, 8.660254037844386}, { 1.6666666666666667`, 0}, {5, 0}, {0, 0}, {2.5, 4.330127018922193}, { 1.6666666666666667`, 2.886751345948129}, {10, 0}, { 8.333333333333334, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, {0, 0}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {5, 5 3^Rational[1, 2]}, { Rational[5, 3], 0}, {5, 0}, {0, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {10, 0}, { Rational[25, 3], 0}}, {{0.8333333333333334, 1.4433756729740645`}, { 3.3333333333333335`, 0}, {6.666666666666667, 0}, {0, 0}, { 4.166666666666667, 7.216878364870323}, {3.3333333333333335`, 5.773502691896258}, {5, 8.660254037844386}, { 1.6666666666666667`, 0}, {5, 0}, {0, 0}, {2.5, 4.330127018922193}, {1.6666666666666667`, 2.886751345948129}, {10, 0}, {8.333333333333334, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "6"}, "RowDefault"], TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530189686376*^9, 3.779530696291856*^9, 3.779549726054483*^9, 3.7795520784323463`*^9, 3.779554207460943*^9, 3.779554823211252*^9, 3.780352327465667*^9, 3.780396925148479*^9, 3.7803974454235153`*^9, 3.78039985850099*^9, 3.7804002331614313`*^9, 3.780400372505501*^9, 3.780401126099154*^9, 3.780401289088861*^9, 3.780401811045521*^9, 3.780402265827321*^9, 3.7804023940695677`*^9, 3.848507707825721*^9, 3.8591939700098867`*^9}, CellLabel->"Out[1]=", CellID->330787065] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "200", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "n"}], ",", RowBox[{"\"\\"", "\[Rule]", "3"}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Row", "[", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"Spacer", "[", "2", "]"}], ",", " ", "n"}], "}"}], "]"}]}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"n", ",", "5", ",", "20", ",", "5"}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779210790996304*^9, 3.779210867823667*^9}, { 3.7792108980775003`*^9, 3.779210898581602*^9}, {3.7792109452606916`*^9, 3.779210945776209*^9}, {3.77921098567092*^9, 3.7792109866366568`*^9}, 3.779211067401986*^9, {3.779211848771269*^9, 3.77921185285646*^9}, 3.779215447773831*^9, 3.779263254953826*^9, {3.779264695496049*^9, 3.779264695876223*^9}, {3.77926477356666*^9, 3.779264783178423*^9}}, CellLabel->"In[2]:=", CellID->356033569], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{1, 3^Rational[1, 2]}, {4, 0}, {8, 0}, {0, 0}, {0, 0}, { 3, 3 3^Rational[1, 2]}, {2, 0}, {6, 0}, {10, 0}, { 5, 5 3^Rational[1, 2]}, {4, 4 3^Rational[1, 2]}, { 2, 2 3^Rational[1, 2]}}, {{1, 1.7320508075688772`}, {4, 0}, {8, 0}, {0, 0}, {0, 0}, {3, 5.196152422706632}, {2, 0}, {6, 0}, {10, 0}, {5, 8.660254037844386}, {4, 6.928203230275509}, { 2, 3.4641016151377544`}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{1, 3^Rational[1, 2]}, {4, 0}, {8, 0}, {0, 0}, {0, 0}, { 3, 3 3^Rational[1, 2]}, {2, 0}, {6, 0}, {10, 0}, { 5, 5 3^Rational[1, 2]}, {4, 4 3^Rational[1, 2]}, { 2, 2 3^Rational[1, 2]}}, {{1, 1.7320508075688772`}, {4, 0}, {8, 0}, {0, 0}, {0, 0}, {3, 5.196152422706632}, {2, 0}, {6, 0}, {10, 0}, {5, 8.660254037844386}, {4, 6.928203230275509}, { 2, 3.4641016151377544`}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "5"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{4, 0}, {3, 3 3^Rational[1, 2]}, {8, 0}, {1, 0}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, {2, 0}, {3, 0}, { 1, 3^Rational[1, 2]}, {9, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {10, 0}, {7, 0}, { 5, 5 3^Rational[1, 2]}, {2, 2 3^Rational[1, 2]}, { Rational[7, 2], Rational[7, 2] 3^Rational[1, 2]}, {0, 0}, {5, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[9, 2], Rational[9, 2] 3^Rational[1, 2]}, { 4, 4 3^Rational[1, 2]}, {6, 0}, {0, 0}}, {{4, 0}, { 3, 5.196152422706632}, {8, 0}, {1, 0}, {1.5, 2.598076211353316}, {2, 0}, {3, 0}, {1, 1.7320508075688772`}, {9, 0}, {0.5, 0.8660254037844386}, {10, 0}, {7, 0}, {5, 8.660254037844386}, { 2, 3.4641016151377544`}, {3.5, 6.06217782649107}, {0, 0}, {5, 0}, { 2.5, 4.330127018922193}, {4.5, 7.794228634059947}, { 4, 6.928203230275509}, {6, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{4, 0}, {3, 3 3^Rational[1, 2]}, {8, 0}, {1, 0}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, {2, 0}, {3, 0}, { 1, 3^Rational[1, 2]}, {9, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {10, 0}, {7, 0}, {5, 5 3^Rational[1, 2]}, {2, 2 3^Rational[1, 2]}, { Rational[7, 2], Rational[7, 2] 3^Rational[1, 2]}, {0, 0}, {5, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[9, 2], Rational[9, 2] 3^Rational[1, 2]}, { 4, 4 3^Rational[1, 2]}, {6, 0}, {0, 0}}, {{4, 0}, { 3, 5.196152422706632}, {8, 0}, {1, 0}, {1.5, 2.598076211353316}, { 2, 0}, {3, 0}, {1, 1.7320508075688772`}, {9, 0}, {0.5, 0.8660254037844386}, {10, 0}, {7, 0}, {5, 8.660254037844386}, { 2, 3.4641016151377544`}, {3.5, 6.06217782649107}, {0, 0}, {5, 0}, { 2.5, 4.330127018922193}, {4.5, 7.794228634059947}, { 4, 6.928203230275509}, {6, 0}, {0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "10"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5, 5 3^Rational[1, 2]}, {Rational[8, 3], 0}, { 2, 2 3^Rational[1, 2]}, {Rational[16, 3], 0}, {Rational[2, 3], 0}, { 1, 3^Rational[1, 2]}, {Rational[4, 3], 0}, { Rational[7, 3], 7 3^Rational[-1, 2]}, { Rational[14, 3], 14 3^Rational[-1, 2]}, {Rational[22, 3], 0}, {10, 0}, {4, 4 3^Rational[1, 2]}, {Rational[10, 3], 0}, { Rational[28, 3], 0}, {Rational[4, 3], 4 3^Rational[-1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}, {Rational[20, 3], 0}, { 3, 3 3^Rational[1, 2]}, {4, 0}, {2, 0}, { Rational[8, 3], 8 3^Rational[-1, 2]}, { Rational[13, 3], 13 3^Rational[-1, 2]}, {8, 0}, {6, 0}, {0, 0}, { Rational[26, 3], 0}, {Rational[10, 3], 10 3^Rational[-1, 2]}, {0, 0}, {Rational[14, 3], 0}, {Rational[2, 3], 2 3^Rational[-1, 2]}, { Rational[11, 3], 11 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}}, {{5, 8.660254037844386}, { 2.6666666666666665`, 0}, {2, 3.4641016151377544`}, { 5.333333333333333, 0}, {0.6666666666666666, 0}, { 1, 1.7320508075688772`}, {1.3333333333333333`, 0}, { 2.3333333333333335`, 4.041451884327381}, {4.666666666666667, 8.082903768654761}, {7.333333333333333, 0}, {10, 0}, { 4, 6.928203230275509}, {3.3333333333333335`, 0}, { 9.333333333333334, 0}, {1.3333333333333333`, 2.3094010767585034`}, { 0.3333333333333333, 0.5773502691896258}, {6.666666666666667, 0}, { 3, 5.196152422706632}, {4, 0}, {2, 0}, {2.6666666666666665`, 4.618802153517007}, {4.333333333333333, 7.505553499465136}, {8, 0}, {6, 0}, {0, 0}, {8.666666666666666, 0}, {3.3333333333333335`, 5.773502691896258}, {0, 0}, {4.666666666666667, 0}, { 0.6666666666666666, 1.1547005383792517`}, {3.6666666666666665`, 6.350852961085884}, {1.6666666666666667`, 2.886751345948129}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5, 5 3^Rational[1, 2]}, {Rational[8, 3], 0}, { 2, 2 3^Rational[1, 2]}, {Rational[16, 3], 0}, { Rational[2, 3], 0}, {1, 3^Rational[1, 2]}, {Rational[4, 3], 0}, { Rational[7, 3], 7 3^Rational[-1, 2]}, { Rational[14, 3], 14 3^Rational[-1, 2]}, {Rational[22, 3], 0}, {10, 0}, {4, 4 3^Rational[1, 2]}, {Rational[10, 3], 0}, { Rational[28, 3], 0}, {Rational[4, 3], 4 3^Rational[-1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}, {Rational[20, 3], 0}, { 3, 3 3^Rational[1, 2]}, {4, 0}, {2, 0}, { Rational[8, 3], 8 3^Rational[-1, 2]}, { Rational[13, 3], 13 3^Rational[-1, 2]}, {8, 0}, {6, 0}, {0, 0}, { Rational[26, 3], 0}, {Rational[10, 3], 10 3^Rational[-1, 2]}, {0, 0}, {Rational[14, 3], 0}, {Rational[2, 3], 2 3^Rational[-1, 2]}, { Rational[11, 3], 11 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}}, {{5, 8.660254037844386}, { 2.6666666666666665`, 0}, {2, 3.4641016151377544`}, { 5.333333333333333, 0}, {0.6666666666666666, 0}, { 1, 1.7320508075688772`}, {1.3333333333333333`, 0}, { 2.3333333333333335`, 4.041451884327381}, {4.666666666666667, 8.082903768654761}, {7.333333333333333, 0}, {10, 0}, { 4, 6.928203230275509}, {3.3333333333333335`, 0}, { 9.333333333333334, 0}, {1.3333333333333333`, 2.3094010767585034`}, {0.3333333333333333, 0.5773502691896258}, { 6.666666666666667, 0}, {3, 5.196152422706632}, {4, 0}, {2, 0}, { 2.6666666666666665`, 4.618802153517007}, {4.333333333333333, 7.505553499465136}, {8, 0}, {6, 0}, {0, 0}, { 8.666666666666666, 0}, {3.3333333333333335`, 5.773502691896258}, { 0, 0}, {4.666666666666667, 0}, {0.6666666666666666, 1.1547005383792517`}, {3.6666666666666665`, 6.350852961085884}, { 1.6666666666666667`, 2.886751345948129}}]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "15"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{9, 0}, {Rational[9, 2], Rational[9, 2] 3^Rational[1, 2]}, {4, 0}, {Rational[19, 4], Rational[19, 4] 3^Rational[1, 2]}, { Rational[5, 4], Rational[5, 4] 3^Rational[1, 2]}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[11, 4], Rational[11, 4] 3^Rational[1, 2]}, {0, 0}, {7, 0}, {Rational[7, 4], Rational[7, 4] 3^Rational[1, 2]}, {2, 0}, { Rational[9, 4], Rational[9, 4] 3^Rational[1, 2]}, {6, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[1, 2], 0}, {8, 0}, {Rational[19, 2], 0}, { Rational[17, 2], 0}, {Rational[15, 2], 0}, { 2, 2 3^Rational[1, 2]}, {10, 0}, {0, 0}, {Rational[9, 2], 0}, { Rational[11, 2], 0}, {Rational[3, 2], 0}, { Rational[13, 4], Rational[13, 4] 3^Rational[1, 2]}, { 5, 5 3^Rational[1, 2]}, {1, 0}, {4, 4 3^Rational[1, 2]}, { Rational[17, 4], Rational[17, 4] 3^Rational[1, 2]}, { 1, 3^Rational[1, 2]}, {3, 0}, {Rational[5, 2], 0}, { Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, {5, 0}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { 3, 3 3^Rational[1, 2]}, {Rational[13, 2], 0}, {Rational[7, 2], 0}, { Rational[7, 2], Rational[7, 2] 3^Rational[1, 2]}, { Rational[15, 4], Rational[15, 4] 3^Rational[1, 2]}}, {{9, 0}, {4.5, 7.794228634059947}, {4, 0}, {4.75, 8.227241335952167}, {1.25, 2.1650635094610964`}, {1.5, 2.598076211353316}, {2.5, 4.330127018922193}, {2.75, 4.763139720814412}, {0, 0}, {7, 0}, { 1.75, 3.031088913245535}, {2, 0}, {2.25, 3.8971143170299736`}, {6, 0}, {0.5, 0.8660254037844386}, {0.5, 0}, {8, 0}, {9.5, 0}, { 8.5, 0}, {7.5, 0}, {2, 3.4641016151377544`}, {10, 0}, {0, 0}, { 4.5, 0}, {5.5, 0}, {1.5, 0}, {3.25, 5.629165124598851}, { 5, 8.660254037844386}, {1, 0}, {4, 6.928203230275509}, {4.25, 7.361215932167728}, {1, 1.7320508075688772`}, {3, 0}, {2.5, 0}, { 0.25, 0.4330127018922193}, {5, 0}, {0.75, 1.299038105676658}, { 3, 5.196152422706632}, {6.5, 0}, {3.5, 0}, {3.5, 6.06217782649107}, {3.75, 6.495190528383289}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{9, 0}, {Rational[9, 2], Rational[9, 2] 3^Rational[1, 2]}, { 4, 0}, {Rational[19, 4], Rational[19, 4] 3^Rational[1, 2]}, { Rational[5, 4], Rational[5, 4] 3^Rational[1, 2]}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[11, 4], Rational[11, 4] 3^Rational[1, 2]}, {0, 0}, {7, 0}, {Rational[7, 4], Rational[7, 4] 3^Rational[1, 2]}, {2, 0}, { Rational[9, 4], Rational[9, 4] 3^Rational[1, 2]}, {6, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[1, 2], 0}, {8, 0}, {Rational[19, 2], 0}, { Rational[17, 2], 0}, {Rational[15, 2], 0}, { 2, 2 3^Rational[1, 2]}, {10, 0}, {0, 0}, {Rational[9, 2], 0}, { Rational[11, 2], 0}, {Rational[3, 2], 0}, { Rational[13, 4], Rational[13, 4] 3^Rational[1, 2]}, { 5, 5 3^Rational[1, 2]}, {1, 0}, {4, 4 3^Rational[1, 2]}, { Rational[17, 4], Rational[17, 4] 3^Rational[1, 2]}, { 1, 3^Rational[1, 2]}, {3, 0}, {Rational[5, 2], 0}, { Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, {5, 0}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { 3, 3 3^Rational[1, 2]}, {Rational[13, 2], 0}, { Rational[7, 2], 0}, { Rational[7, 2], Rational[7, 2] 3^Rational[1, 2]}, { Rational[15, 4], Rational[15, 4] 3^Rational[1, 2]}}, {{9, 0}, {4.5, 7.794228634059947}, {4, 0}, {4.75, 8.227241335952167}, {1.25, 2.1650635094610964`}, {1.5, 2.598076211353316}, {2.5, 4.330127018922193}, {2.75, 4.763139720814412}, {0, 0}, {7, 0}, { 1.75, 3.031088913245535}, {2, 0}, {2.25, 3.8971143170299736`}, {6, 0}, {0.5, 0.8660254037844386}, {0.5, 0}, {8, 0}, {9.5, 0}, { 8.5, 0}, {7.5, 0}, {2, 3.4641016151377544`}, {10, 0}, {0, 0}, { 4.5, 0}, {5.5, 0}, {1.5, 0}, {3.25, 5.629165124598851}, { 5, 8.660254037844386}, {1, 0}, {4, 6.928203230275509}, {4.25, 7.361215932167728}, {1, 1.7320508075688772`}, {3, 0}, {2.5, 0}, { 0.25, 0.4330127018922193}, {5, 0}, {0.75, 1.299038105676658}, { 3, 5.196152422706632}, {6.5, 0}, {3.5, 0}, {3.5, 6.06217782649107}, {3.75, 6.495190528383289}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"n:\"", TemplateBox[{2}, "Spacer1"], "20"}, "RowDefault"], TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530189748101*^9, 3.779530696349279*^9, 3.779549726102799*^9, 3.779552078490097*^9, 3.779554207523673*^9, 3.779554823272841*^9, 3.780352327527114*^9, 3.7803969252086287`*^9, 3.780397445492181*^9, 3.78039985855621*^9, 3.780400233206872*^9, 3.7804003725480013`*^9, 3.7804011261795073`*^9, 3.78040128913553*^9, 3.780401811091136*^9, 3.780402265882186*^9, 3.780402394244734*^9, 3.848507707900402*^9, 3.859193970024591*^9}, CellLabel->"Out[2]=", CellID->930614461] }, Open ]], Cell[TextData[{ "If the value of \"NumberOfElements\" is ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Automatic", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/Automatic", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " in single-mandala mode, 6 elements are used; in multi-mandala mode, 3 \ elements are used (for each mandala)." }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7804014418608027`*^9, 3.780401554928094*^9}, { 3.865523160308422*^9, 3.8655231809116163`*^9}, {3.865523734471587*^9, 3.86552373857091*^9}}, CellID->810805325] }, Closed]], Cell[CellGroupData[{ Cell["Radius", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7792104475045767`*^9, 3.779210450452279*^9}, { 3.779813636547844*^9, 3.779813637620281*^9}}, CellID->122655909], Cell[TextData[{ "In single-mandala mode the option ", Cell[BoxData["\"\\""], "InlineFormula", FontFamily->"Source Sans Pro"], " specifies the radius of the seed segment and the mandala:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779215776446734*^9, 3.7792158126494417`*^9}, 3.7798136409390078`*^9, {3.780398891489297*^9, 3.780398907812546*^9}}, CellID->493237360], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "226", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "r"}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Row", "[", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"Spacer", "[", "2", "]"}], ",", " ", "r"}], "}"}], "]"}]}], ",", RowBox[{"Frame", "\[Rule]", "True"}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"r", ",", "5", ",", "20", ",", "5"}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792096816355667`*^9, 3.779209715576331*^9}, { 3.779209822736602*^9, 3.7792098279882298`*^9}, {3.779209917993441*^9, 3.7792099429427433`*^9}, {3.779209977584106*^9, 3.779209990182027*^9}, { 3.779210021719304*^9, 3.7792100595641727`*^9}, {3.779210132816928*^9, 3.7792102201386213`*^9}, {3.7792102857846823`*^9, 3.77921029146478*^9}, { 3.7792103389880943`*^9, 3.779210494339717*^9}, {3.779210890416614*^9, 3.779210930914516*^9}, {3.779211071206423*^9, 3.779211078527849*^9}}, CellLabel->"In[1]:=", CellID->950730802], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, { Rational[5, 6], 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, { Rational[25, 4] 3^Rational[-1, 2], Rational[25, 12]}, { Rational[5, 3], 0}, {Rational[10, 3], 0}, {0, 0}, { Rational[5, 4] 3^Rational[-1, 2], Rational[5, 12]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2], 0}, {Rational[25, 6], 0}}, {{2.1650635094610964`, 1.25}, {0.8333333333333334, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {5, 0}, {3.6084391824351614`, 2.0833333333333335`}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}, {0, 0}, { 0.7216878364870323, 0.4166666666666667}, {4.330127018922193, 2.5}, { 2.5, 0}, {4.166666666666667, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, { Rational[5, 6], 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, { Rational[25, 4] 3^Rational[-1, 2], Rational[25, 12]}, { Rational[5, 3], 0}, {Rational[10, 3], 0}, {0, 0}, { Rational[5, 4] 3^Rational[-1, 2], Rational[5, 12]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2], 0}, {Rational[25, 6], 0}}, {{2.1650635094610964`, 1.25}, {0.8333333333333334, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, { 5, 0}, {3.6084391824351614`, 2.0833333333333335`}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}, {0, 0}, { 0.7216878364870323, 0.4166666666666667}, {4.330127018922193, 2.5}, {2.5, 0}, {4.166666666666667, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], Frame->True, PlotLabel->FormBox[ TemplateBox[{"\"radius:\"", TemplateBox[{2}, "Spacer1"], "5"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[1, 2], 5}, {5, 0}, {Rational[25, 3], 0}}, {{ 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {0, 0}, { 5.773502691896258, 3.3333333333333335`}, {2.886751345948129, 1.6666666666666667`}, {10, 0}, {7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {8.660254037844386, 5}, {5, 0}, { 8.333333333333334, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[1, 2], 5}, {5, 0}, {Rational[25, 3], 0}}, {{ 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {0, 0}, { 5.773502691896258, 3.3333333333333335`}, {2.886751345948129, 1.6666666666666667`}, {10, 0}, {7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {8.660254037844386, 5}, {5, 0}, { 8.333333333333334, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], Frame->True, PlotLabel->FormBox[ TemplateBox[{"\"radius:\"", TemplateBox[{2}, "Spacer1"], "10"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[15, 4] 3^Rational[1, 2], Rational[15, 4]}, { Rational[5, 2], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {15, 0}, { Rational[25, 4] 3^Rational[1, 2], Rational[25, 4]}, {5, 0}, {10, 0}, {0, 0}, {Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, { Rational[15, 2] 3^Rational[1, 2], Rational[15, 2]}, { Rational[15, 2], 0}, {Rational[25, 2], 0}}, {{6.495190528383289, 3.75}, {2.5, 0}, {0, 0}, {8.660254037844386, 5}, {4.330127018922193, 2.5}, {15, 0}, {10.825317547305483`, 6.25}, {5, 0}, {10, 0}, {0, 0}, {2.1650635094610964`, 1.25}, {12.990381056766578`, 7.5}, { 7.5, 0}, {12.5, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[15, 4] 3^Rational[1, 2], Rational[15, 4]}, { Rational[5, 2], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {15, 0}, { Rational[25, 4] 3^Rational[1, 2], Rational[25, 4]}, {5, 0}, {10, 0}, {0, 0}, {Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, { Rational[15, 2] 3^Rational[1, 2], Rational[15, 2]}, { Rational[15, 2], 0}, {Rational[25, 2], 0}}, {{6.495190528383289, 3.75}, {2.5, 0}, {0, 0}, {8.660254037844386, 5}, { 4.330127018922193, 2.5}, {15, 0}, {10.825317547305483`, 6.25}, {5, 0}, {10, 0}, {0, 0}, {2.1650635094610964`, 1.25}, { 12.990381056766578`, 7.5}, {7.5, 0}, {12.5, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], Frame->True, PlotLabel->FormBox[ TemplateBox[{"\"radius:\"", TemplateBox[{2}, "Spacer1"], "15"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, {0, 0}, { 20 3^Rational[-1, 2], Rational[20, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {20, 0}, { 25 3^Rational[-1, 2], Rational[25, 3]}, {Rational[20, 3], 0}, { Rational[40, 3], 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {10 3^Rational[1, 2], 10}, { 10, 0}, {Rational[50, 3], 0}}, {{8.660254037844386, 5}, { 3.3333333333333335`, 0}, {0, 0}, {11.547005383792516`, 6.666666666666667}, {5.773502691896258, 3.3333333333333335`}, {20, 0}, {14.433756729740645`, 8.333333333333334}, { 6.666666666666667, 0}, {13.333333333333334`, 0}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {17.32050807568877, 10}, { 10, 0}, {16.666666666666668`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, {0, 0}, { 20 3^Rational[-1, 2], Rational[20, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {20, 0}, { 25 3^Rational[-1, 2], Rational[25, 3]}, {Rational[20, 3], 0}, { Rational[40, 3], 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {10 3^Rational[1, 2], 10}, { 10, 0}, {Rational[50, 3], 0}}, {{8.660254037844386, 5}, { 3.3333333333333335`, 0}, {0, 0}, {11.547005383792516`, 6.666666666666667}, {5.773502691896258, 3.3333333333333335`}, {20, 0}, {14.433756729740645`, 8.333333333333334}, { 6.666666666666667, 0}, {13.333333333333334`, 0}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {17.32050807568877, 10}, { 10, 0}, {16.666666666666668`, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], Frame->True, PlotLabel->FormBox[ TemplateBox[{"\"radius:\"", TemplateBox[{2}, "Spacer1"], "20"}, "RowDefault"], TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530189810899*^9, 3.779530696406304*^9, 3.779549726148584*^9, 3.779552078550557*^9, 3.779554207589572*^9, 3.77955482333646*^9, 3.7803523275884047`*^9, 3.78039692527777*^9, 3.780397445684495*^9, 3.780399858612138*^9, 3.780400233256839*^9, 3.7804003726876307`*^9, 3.780401126259115*^9, 3.7804012891838827`*^9, 3.780401811141083*^9, 3.780402265936804*^9, 3.78040239432714*^9, 3.848507707973403*^9, 3.85919397004309*^9}, CellLabel->"Out[1]=", CellID->562381933] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->14107563], Cell["\<\ If the value given to \"Radius\" is a list of positive numbers, then \ multi-mandala mode is used.\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.7803523532106123`*^9, 3.7803527179301367`*^9}, { 3.780357999193799*^9, 3.78035802765632*^9}, {3.7803989174999123`*^9, 3.780399001811801*^9}, 3.865523213225792*^9}, CellID->408007851], Cell[TextData[{ "If ", Cell[BoxData[ FormBox[ RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ SubscriptBox[ StyleBox["r", "TI"], StyleBox["1", "TR"]], ",", "\[Ellipsis]", ",", SubscriptBox[ StyleBox["r", "TI"], StyleBox["k", "TI"]]}], "}"}]}], TraditionalForm]]], ", then for each ", Cell[BoxData[ FormBox[ SubscriptBox[ StyleBox["r", "TI"], StyleBox["i", "TI"]], TraditionalForm]]], ", a mandala is made with radius ", Cell[BoxData[ FormBox[ SubscriptBox[ StyleBox["r", "TI"], StyleBox["i", "TI"]], TraditionalForm]]], " and the mandalas are drawn upon each other according to their radii \ order:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7803523532106123`*^9, 3.7803527179301367`*^9}, { 3.780357999193799*^9, 3.78035802765632*^9}, {3.7803989174999123`*^9, 3.780399033781681*^9}, {3.780401598577044*^9, 3.780401599633678*^9}, { 3.8655232266679163`*^9, 3.8655232728752337`*^9}}, CellID->172394290], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "98", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", RowBox[{"Range", "[", RowBox[{"8", ",", "2", ",", RowBox[{"-", "2"}]}], "]"}]}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.78035272038799*^9, 3.780352763605698*^9}, { 3.7803528181260138`*^9, 3.780352822523449*^9}, {3.780352918106587*^9, 3.7803529193313227`*^9}, {3.780355765302945*^9, 3.780355811438033*^9}, { 3.780355845617735*^9, 3.7803558711422653`*^9}, {3.780355919002684*^9, 3.780355949668729*^9}, {3.7803560362527237`*^9, 3.780356041301*^9}, 3.780397500415825*^9, {3.780399058558549*^9, 3.7803990636846237`*^9}, { 3.780400528078211*^9, 3.780400560647031*^9}}, CellLabel->"In[1]:=", CellID->547343218], Cell[BoxData[ GraphicsBox[{ {GrayLevel[0.30000000000000004`], GeometricTransformationBox[{ {GrayLevel[0.30000000000000004`], FilledCurveBox[NCache[ BezierCurve[{{Rational[16, 3], 0}, { 8 3^Rational[-1, 2], Rational[8, 3]}, {4 3^Rational[1, 2], 4}, { Rational[8, 3], 0}, {0, 0}, {8, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}}], BezierCurve[{{5.333333333333333, 0}, {4.618802153517007, 2.6666666666666665`}, {6.928203230275509, 4}, { 2.6666666666666665`, 0}, {0, 0}, {8, 0}, {2.3094010767585034`, 1.3333333333333333`}, {0, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.30000000000000004`], FilledCurveBox[NCache[ BezierCurve[{{Rational[16, 3], 0}, { 8 3^Rational[-1, 2], Rational[8, 3]}, {4 3^Rational[1, 2], 4}, { Rational[8, 3], 0}, {0, 0}, {8, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}}], BezierCurve[{{5.333333333333333, 0}, {4.618802153517007, 2.6666666666666665`}, {6.928203230275509, 4}, { 2.6666666666666665`, 0}, {0, 0}, {8, 0}, {2.3094010767585034`, 1.3333333333333333`}, {0, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.], StyleBox[GeometricTransformationBox[{ {GrayLevel[0.], StyleBox[ FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {3 3^Rational[1, 2], 3}, {4, 0}, {2, 0}, { 3^Rational[1, 2], 1}, {2 3^Rational[1, 2], 2}, {6, 0}, {0, 0}}], BezierCurve[{{0, 0}, {5.196152422706632, 3}, {4, 0}, {2, 0}, { 1.7320508075688772`, 1}, {3.4641016151377544`, 2}, {6, 0}, {0, 0}}]]], FontColor->GrayLevel[0.]]}, GeometricTransformationBox[ {GrayLevel[0.], StyleBox[ FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {3 3^Rational[1, 2], 3}, {4, 0}, {2, 0}, { 3^Rational[1, 2], 1}, {2 3^Rational[1, 2], 2}, {6, 0}, {0, 0}}], BezierCurve[{{0, 0}, {5.196152422706632, 3}, {4, 0}, {2, 0}, { 1.7320508075688772`, 1}, {3.4641016151377544`, 2}, {6, 0}, {0, 0}}]]], FontColor->GrayLevel[0.]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], FontColor->GrayLevel[0.]]}, {GrayLevel[0.6000000000000001], GeometricTransformationBox[{ {GrayLevel[0.6000000000000001], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, {0, 0}, {4, 0}, { 2 3^Rational[1, 2], 2}, {0, 0}, {Rational[4, 3], 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{2.6666666666666665`, 0}, {0, 0}, {4, 0}, { 3.4641016151377544`, 2}, {0, 0}, {1.3333333333333333`, 0}, { 1.1547005383792517`, 0.6666666666666666}, {2.3094010767585034`, 1.3333333333333333`}}]]]}, GeometricTransformationBox[ {GrayLevel[0.6000000000000001], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, {0, 0}, {4, 0}, { 2 3^Rational[1, 2], 2}, {0, 0}, {Rational[4, 3], 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{2.6666666666666665`, 0}, {0, 0}, {4, 0}, { 3.4641016151377544`, 2}, {0, 0}, {1.3333333333333333`, 0}, { 1.1547005383792517`, 0.6666666666666666}, {2.3094010767585034`, 1.3333333333333333`}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {GrayLevel[0.5], GeometricTransformationBox[{ {GrayLevel[0.5], FilledCurveBox[NCache[ BezierCurve[{{3^Rational[-1, 2], Rational[1, 3]}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {Rational[4, 3], 0}, { Rational[2, 3], 0}, {3^Rational[1, 2], 1}, {0, 0}, {0, 0}, {2, 0}}], BezierCurve[{{0.5773502691896258, 0.3333333333333333}, { 1.1547005383792517`, 0.6666666666666666}, { 1.3333333333333333`, 0}, {0.6666666666666666, 0}, { 1.7320508075688772`, 1}, {0, 0}, {0, 0}, {2, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.5], FilledCurveBox[NCache[ BezierCurve[{{3^Rational[-1, 2], Rational[1, 3]}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {Rational[4, 3], 0}, { Rational[2, 3], 0}, {3^Rational[1, 2], 1}, {0, 0}, {0, 0}, {2, 0}}], BezierCurve[{{0.5773502691896258, 0.3333333333333333}, { 1.1547005383792517`, 0.6666666666666666}, { 1.3333333333333333`, 0}, {0.6666666666666666, 0}, { 1.7320508075688772`, 1}, {0, 0}, {0, 0}, {2, 0}}]]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.780352764657557*^9, {3.7803528082602158`*^9, 3.780352822936346*^9}, 3.780352919619977*^9, {3.7803557661407433`*^9, 3.780355811973094*^9}, { 3.7803558466129704`*^9, 3.780355871486659*^9}, {3.7803559200275707`*^9, 3.780355966418314*^9}, {3.780356037454155*^9, 3.780356041772314*^9}, 3.7803969253547707`*^9, 3.7803974457577477`*^9, {3.780397500931127*^9, 3.78039752066059*^9}, 3.780399064263102*^9, 3.780399858730023*^9, 3.7804002333667717`*^9, 3.7804003727633753`*^9, {3.780400529383724*^9, 3.780400561093937*^9}, 3.7804011271274977`*^9, 3.7804012892595053`*^9, 3.7804018112180157`*^9, 3.780402266018321*^9, 3.780402394482888*^9, 3.8485077081635113`*^9, 3.8591939700583763`*^9}, CellLabel->"Out[2]=", CellID->691834727] }, Open ]], Cell[TextData[{ "Using the option ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["ColorFunction", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/ColorFunction", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", colorized mandalas are obtained:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.780352831950411*^9, 3.7803528634063997`*^9}, { 3.780399076824996*^9, 3.780399088321889*^9}, {3.865523299382195*^9, 3.865523311494954*^9}}, CellID->393645347], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "98", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Range", "[", RowBox[{"8", ",", "2", ",", RowBox[{"-", "2"}]}], "]"}]}], ",", RowBox[{"ColorFunction", "\[Rule]", RowBox[{"ColorData", "[", "\"\\"", "]"}]}]}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.78035272038799*^9, 3.780352763605698*^9}, { 3.7803528181260138`*^9, 3.780352822523449*^9}, {3.780352864419767*^9, 3.7803529133027697`*^9}, 3.780355779480691*^9, {3.780355817627421*^9, 3.7803558190541487`*^9}, {3.7803558492542963`*^9, 3.7803559537188387`*^9}, {3.780356047805509*^9, 3.7803560572880917`*^9}, { 3.780397435876933*^9, 3.780397516489586*^9}, 3.780399070488058*^9, { 3.7804005453080873`*^9, 3.780400553627207*^9}}, CellLabel->"In[3]:=", CellID->343393641], Cell[BoxData[ GraphicsBox[{ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], GeometricTransformationBox[{ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], FilledCurveBox[NCache[ BezierCurve[{{Rational[16, 3], 0}, { 8 3^Rational[-1, 2], Rational[8, 3]}, {4 3^Rational[1, 2], 4}, { Rational[8, 3], 0}, {0, 0}, {8, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}}], BezierCurve[{{5.333333333333333, 0}, {4.618802153517007, 2.6666666666666665`}, {6.928203230275509, 4}, { 2.6666666666666665`, 0}, {0, 0}, {8, 0}, {2.3094010767585034`, 1.3333333333333333`}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.29795960000000005`, 0.5657928, 0.7522386], {FaceForm[RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], FilledCurveBox[NCache[ BezierCurve[{{Rational[16, 3], 0}, { 8 3^Rational[-1, 2], Rational[8, 3]}, {4 3^Rational[1, 2], 4}, { Rational[8, 3], 0}, {0, 0}, {8, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}, {0, 0}}], BezierCurve[{{5.333333333333333, 0}, {4.618802153517007, 2.6666666666666665`}, {6.928203230275509, 4}, { 2.6666666666666665`, 0}, {0, 0}, {8, 0}, {2.3094010767585034`, 1.3333333333333333`}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.471412, 0.108766, 0.527016], GeometricTransformationBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{4, 0}, {2, 0}, {6, 0}, {3^Rational[1, 2], 1}, { 2 3^Rational[1, 2], 2}, {0, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{4, 0}, {2, 0}, {6, 0}, {1.7320508075688772`, 1}, { 3.4641016151377544`, 2}, {0, 0}, {5.196152422706632, 3}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{4, 0}, {2, 0}, {6, 0}, {3^Rational[1, 2], 1}, { 2 3^Rational[1, 2], 2}, {0, 0}, {3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{4, 0}, {2, 0}, {6, 0}, { 1.7320508075688772`, 1}, {3.4641016151377544`, 2}, {0, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], GeometricTransformationBox[{ {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], {FaceForm[RGBColor[ 0.6660832000000002, 0.7430418, 0.32293539999999993`]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[8, 3], 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}, {4, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{0, 0}, {2.6666666666666665`, 0}, {0, 0}, { 1.1547005383792517`, 0.6666666666666666}, { 1.3333333333333333`, 0}, {3.4641016151377544`, 2}, {4, 0}, { 2.3094010767585034`, 1.3333333333333333`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], {FaceForm[RGBColor[ 0.6660832000000002, 0.7430418, 0.32293539999999993`]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[8, 3], 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {Rational[4, 3], 0}, { 2 3^Rational[1, 2], 2}, {4, 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{0, 0}, {2.6666666666666665`, 0}, {0, 0}, { 1.1547005383792517`, 0.6666666666666666}, { 1.3333333333333333`, 0}, {3.4641016151377544`, 2}, {4, 0}, { 2.3094010767585034`, 1.3333333333333333`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.513417, 0.72992, 0.440682], GeometricTransformationBox[{ {RGBColor[0.513417, 0.72992, 0.440682], {FaceForm[RGBColor[0.513417, 0.72992, 0.440682]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[2, 3], 0}, {2, 0}, { Rational[4, 3], 0}, {3^Rational[1, 2], 1}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, { 3^Rational[-1, 2], Rational[1, 3]}}], BezierCurve[{{0, 0}, {0.6666666666666666, 0}, {2, 0}, { 1.3333333333333333`, 0}, {1.7320508075688772`, 1}, {0, 0}, { 1.1547005383792517`, 0.6666666666666666}, {0.5773502691896258, 0.3333333333333333}}]]]}}, GeometricTransformationBox[ {RGBColor[0.513417, 0.72992, 0.440682], {FaceForm[RGBColor[0.513417, 0.72992, 0.440682]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[2, 3], 0}, {2, 0}, { Rational[4, 3], 0}, {3^Rational[1, 2], 1}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, { 3^Rational[-1, 2], Rational[1, 3]}}], BezierCurve[{{0, 0}, {0.6666666666666666, 0}, {2, 0}, { 1.3333333333333333`, 0}, {1.7320508075688772`, 1}, {0, 0}, { 1.1547005383792517`, 0.6666666666666666}, {0.5773502691896258, 0.3333333333333333}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.780352878900381*^9, 3.780352913669449*^9}, 3.780355779921562*^9, 3.780355820105206*^9, {3.7803558502763777`*^9, 3.78035596358084*^9}, {3.780356048540967*^9, 3.780356057888439*^9}, 3.780396925408024*^9, {3.7803974368902493`*^9, 3.780397516973599*^9}, { 3.780399082612617*^9, 3.780399093208192*^9}, 3.780399858773913*^9, 3.780400233415513*^9, 3.780400372795405*^9, {3.780400545941224*^9, 3.78040055408335*^9}, 3.7804011272962027`*^9, 3.780401289296255*^9, 3.7804018113279457`*^9, 3.780402266061675*^9, 3.780402394547426*^9, 3.8485077082240467`*^9, 3.859193970068112*^9}, CellLabel->"Out[4]=", CellID->288911348] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["RotationalSymmetryOrder", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7792096714085712`*^9, 3.779209680295725*^9}, { 3.779210278729834*^9, 3.779210279606997*^9}, {3.779263126131741*^9, 3.779263132824936*^9}, {3.779813643757214*^9, 3.779813644438074*^9}}, CellID->240615858], Cell[TextData[{ "The ", Cell[BoxData["\"\\""], "InlineFormula", FontFamily->"Source Sans Pro"], " option specifies how many copies of the seed segment comprise the \ mandala:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779554653322496*^9, 3.779554690259698*^9}, { 3.779555272593183*^9, 3.779555373134893*^9}, 3.779813647840884*^9}, CellID->828138802], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "122", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "a"}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Row", "[", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"Spacer", "[", "2", "]"}], ",", " ", "a"}], "}"}], "]"}]}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"a", ",", RowBox[{"{", RowBox[{"2", ",", "3", ",", "4", ",", "6"}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792096816355667`*^9, 3.779209715576331*^9}, { 3.779209822736602*^9, 3.7792098279882298`*^9}, {3.779209917993441*^9, 3.7792099429427433`*^9}, {3.779209977584106*^9, 3.779209990182027*^9}, { 3.779210021719304*^9, 3.7792100595641727`*^9}, {3.779210132816928*^9, 3.7792102201386213`*^9}, {3.7792102857846823`*^9, 3.77921029146478*^9}, { 3.7792103389880943`*^9, 3.7792104365025063`*^9}, {3.779211021501114*^9, 3.779211044126947*^9}, {3.779251905225918*^9, 3.77925190595535*^9}, { 3.779257003230566*^9, 3.779257003363258*^9}, {3.7792631364219723`*^9, 3.7792631568897142`*^9}}, CellLabel->"In[1]:=", CellID->130018053], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, Rational[20, 3]}, {5, 0}, {0, 0}, { 0, Rational[5, 3]}, {0, 5}, {Rational[25, 3], 0}, { Rational[20, 3], 0}, {0, Rational[10, 3]}, {0, Rational[25, 3]}, { 10, 0}, {0, 10}, {Rational[10, 3], 0}, {Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{0, 6.666666666666667}, {5, 0}, {0, 0}, { 0, 1.6666666666666667`}, {0, 5}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {0, 3.3333333333333335`}, { 0, 8.333333333333334}, {10, 0}, {0, 10}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, Rational[20, 3]}, {5, 0}, {0, 0}, { 0, Rational[5, 3]}, {0, 5}, {Rational[25, 3], 0}, { Rational[20, 3], 0}, {0, Rational[10, 3]}, {0, Rational[25, 3]}, { 10, 0}, {0, 10}, {Rational[10, 3], 0}, {Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{0, 6.666666666666667}, {5, 0}, {0, 0}, { 0, 1.6666666666666667`}, {0, 5}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {0, 3.3333333333333335`}, { 0, 8.333333333333334}, {10, 0}, {0, 10}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{-1, 0}, {0, -1}}}], PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], "2"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 10 3^Rational[-1, 2]}, {5, 0}, {0, 0}, {Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, {10, 0}, { 5, 5 3^Rational[1, 2]}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{3.3333333333333335`, 5.773502691896258}, {5, 0}, {0, 0}, {0.8333333333333334, 1.4433756729740645`}, {2.5, 4.330127018922193}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {1.6666666666666667`, 2.886751345948129}, { 4.166666666666667, 7.216878364870323}, {10, 0}, { 5, 8.660254037844386}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 10 3^Rational[-1, 2]}, {5, 0}, {0, 0}, {Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, {10, 0}, { 5, 5 3^Rational[1, 2]}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{3.3333333333333335`, 5.773502691896258}, {5, 0}, {0, 0}, {0.8333333333333334, 1.4433756729740645`}, {2.5, 4.330127018922193}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {1.6666666666666667`, 2.886751345948129}, { 4.166666666666667, 7.216878364870323}, {10, 0}, { 5, 8.660254037844386}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], "3"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{ Rational[10, 3] 2^Rational[1, 2], Rational[10, 3] 2^Rational[1, 2]}, {5, 0}, {0, 0}, { Rational[5, 3] 2^Rational[-1, 2], Rational[5, 3] 2^Rational[-1, 2]}, {5 2^Rational[-1, 2], 5 2^Rational[-1, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 3] 2^Rational[1, 2], Rational[5, 3] 2^Rational[1, 2]}, { Rational[25, 3] 2^Rational[-1, 2], Rational[25, 3] 2^Rational[-1, 2]}, {10, 0}, { 5 2^Rational[1, 2], 5 2^Rational[1, 2]}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{4.714045207910317, 4.714045207910317}, {5, 0}, {0, 0}, {1.1785113019775793`, 1.1785113019775793`}, { 3.5355339059327373`, 3.5355339059327373`}, { 8.333333333333334, 0}, {6.666666666666667, 0}, { 2.3570226039551585`, 2.3570226039551585`}, {5.892556509887896, 5.892556509887896}, {10, 0}, {7.0710678118654755`, 7.0710678118654755`}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{ Rational[10, 3] 2^Rational[1, 2], Rational[10, 3] 2^Rational[1, 2]}, {5, 0}, {0, 0}, { Rational[5, 3] 2^Rational[-1, 2], Rational[5, 3] 2^Rational[-1, 2]}, {5 2^Rational[-1, 2], 5 2^Rational[-1, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 3] 2^Rational[1, 2], Rational[5, 3] 2^Rational[1, 2]}, { Rational[25, 3] 2^Rational[-1, 2], Rational[25, 3] 2^Rational[-1, 2]}, {10, 0}, { 5 2^Rational[1, 2], 5 2^Rational[1, 2]}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{4.714045207910317, 4.714045207910317}, {5, 0}, {0, 0}, {1.1785113019775793`, 1.1785113019775793`}, { 3.5355339059327373`, 3.5355339059327373`}, { 8.333333333333334, 0}, {6.666666666666667, 0}, { 2.3570226039551585`, 2.3570226039551585`}, {5.892556509887896, 5.892556509887896}, {10, 0}, {7.0710678118654755`, 7.0710678118654755`}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}], PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], "4"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, {0, 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { 5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, {5, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {8.333333333333334, 0}, {6.666666666666667, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, {10, 0}, {8.660254037844386, 5}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, {0, 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { 5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, {5, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {8.333333333333334, 0}, {6.666666666666667, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, {10, 0}, {8.660254037844386, 5}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], "6"}, "RowDefault"], TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530189927194*^9, 3.779530696477406*^9, 3.779549726206019*^9, 3.779552078620487*^9, 3.7795542077666407`*^9, 3.779554823410139*^9, 3.780352327659851*^9, 3.780396925465775*^9, 3.78039744587792*^9, 3.780399858886779*^9, 3.780400233563921*^9, 3.78040037291685*^9, 3.780401127441173*^9, 3.7804012901712303`*^9, 3.7804018114032803`*^9, 3.780402266148513*^9, 3.780402394670643*^9, 3.848507708341887*^9, 3.8591939700799837`*^9}, CellLabel->"Out[1]=", CellID->310557906] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "122", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "a"}], ",", RowBox[{"\"\\"", "\[Rule]", "False"}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Row", "[", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"Spacer", "[", "2", "]"}], ",", " ", "a"}], "}"}], "]"}]}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"a", ",", RowBox[{"{", RowBox[{"2", ",", "3", ",", "4", ",", "6"}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792096816355667`*^9, 3.779209715576331*^9}, { 3.779209822736602*^9, 3.7792098279882298`*^9}, {3.779209917993441*^9, 3.7792099429427433`*^9}, {3.779209977584106*^9, 3.779209990182027*^9}, { 3.779210021719304*^9, 3.7792100595641727`*^9}, {3.779210132816928*^9, 3.7792102201386213`*^9}, {3.7792102857846823`*^9, 3.77921029146478*^9}, { 3.7792103389880943`*^9, 3.7792104365025063`*^9}, {3.779211021501114*^9, 3.779211044126947*^9}, {3.779251021100274*^9, 3.779251037635249*^9}, { 3.779251834192518*^9, 3.7792518984285994`*^9}, {3.779257009665217*^9, 3.77925700991092*^9}, {3.779263163556967*^9, 3.77926318751266*^9}, { 3.7792638535806704`*^9, 3.779263886092898*^9}, {3.7792649615182133`*^9, 3.7792649616964273`*^9}}, CellLabel->"In[2]:=", CellID->491478273], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[-20, 3], 0}, {5, 0}, {0, 0}, { Rational[-5, 3], 0}, {-5, 0}, {Rational[25, 3], 0}, { Rational[20, 3], 0}, {Rational[-10, 3], 0}, {Rational[-25, 3], 0}, { 10, 0}, {-10, 0}, {Rational[10, 3], 0}, {Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{-6.666666666666667, 0}, {5, 0}, {0, 0}, {-1.6666666666666667`, 0}, {-5, 0}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {-3.3333333333333335`, 0}, {-8.333333333333334, 0}, {10, 0}, {-10, 0}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}}]]]}, {{{ 1, 0}, {0, 1}}, {{-1, 0}, {0, -1}}}], PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], "2"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[-10, 3], 10 3^Rational[-1, 2]}, {5, 0}, {0, 0}, {Rational[-5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[-5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[-5, 3], 5 3^Rational[-1, 2]}, { Rational[-25, 6], Rational[25, 2] 3^Rational[-1, 2]}, {10, 0}, {-5, 5 3^Rational[1, 2]}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{-3.3333333333333335`, 5.773502691896258}, {5, 0}, {0, 0}, {-0.8333333333333334, 1.4433756729740645`}, {-2.5, 4.330127018922193}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {-1.6666666666666667`, 2.886751345948129}, {-4.166666666666667, 7.216878364870323}, {10, 0}, {-5, 8.660254037844386}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], "3"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, Rational[20, 3]}, {5, 0}, {0, 0}, { 0, Rational[5, 3]}, {0, 5}, {Rational[25, 3], 0}, { Rational[20, 3], 0}, {0, Rational[10, 3]}, {0, Rational[25, 3]}, { 10, 0}, {0, 10}, {Rational[10, 3], 0}, {Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{0, 6.666666666666667}, {5, 0}, {0, 0}, { 0, 1.6666666666666667`}, {0, 5}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {0, 3.3333333333333335`}, { 0, 8.333333333333334}, {10, 0}, {0, 10}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, {{{1, 0}, {0, 1}}, {{0, -1}, { 1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}], PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], "4"}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 10 3^Rational[-1, 2]}, {5, 0}, {0, 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, {10, 0}, { 5, 5 3^Rational[1, 2]}, {Rational[10, 3], 0}, {Rational[5, 3], 0}, { 0, 0}}], BezierCurve[{{3.3333333333333335`, 5.773502691896258}, {5, 0}, {0, 0}, {0.8333333333333334, 1.4433756729740645`}, {2.5, 4.330127018922193}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {1.6666666666666667`, 2.886751345948129}, { 4.166666666666667, 7.216878364870323}, {10, 0}, { 5, 8.660254037844386}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], "6"}, "RowDefault"], TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.7795301899807796`*^9, 3.779530696496313*^9, 3.779549726243931*^9, 3.779552078674882*^9, 3.779554207826466*^9, 3.7795548234692163`*^9, 3.780352327711418*^9, 3.780396925520132*^9, 3.780397445941585*^9, 3.780399858927557*^9, 3.780400233617079*^9, 3.780400372955287*^9, 3.7804011275227203`*^9, 3.7804012902156067`*^9, 3.7804018114443493`*^9, 3.780402266196188*^9, 3.780402394741074*^9, 3.848507708417324*^9, 3.859193970091795*^9}, CellLabel->"Out[2]=", CellID->6534106] }, Open ]], Cell["\<\ If both \"Radius\" and \"RotationalSymmetryOrder\" are given lists of \ numbers, then the corresponding elements in those are paired to make the \ specifications of the colorized mandalas:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.848519947533971*^9, 3.84852004923523*^9}, { 3.86552334228695*^9, 3.8655233542515793`*^9}}, CellID->723691717], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"SeedRandom", "[", "122", "]"}], ";", "\[IndentingNewLine]", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "->", RowBox[{"{", RowBox[{"8", ",", "4"}], "}"}]}], ",", RowBox[{"\"\\"", "->", "rs"}], ",", RowBox[{"\"\\"", "->", RowBox[{"FilledCurve", "@*", "BezierCurve"}]}], ",", RowBox[{"ColorFunction", "\[Rule]", "\"\\""}], ",", RowBox[{"FaceForm", "->", RowBox[{"{", RowBox[{"Opacity", "[", "0.7", "]"}], "}"}]}], ",", RowBox[{"EdgeForm", "\[Rule]", RowBox[{"{", RowBox[{"White", ",", RowBox[{"Opacity", "[", "1", "]"}]}], "}"}]}], ",", RowBox[{"PlotLabel", "\[Rule]", RowBox[{"Row", "[", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"Spacer", "[", "2", "]"}], ",", " ", "rs"}], "}"}], "]"}]}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"rs", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"4", ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"6", ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"5", ",", "10"}], "}"}]}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8485054508279257`*^9, 3.8485055079095287`*^9}, { 3.848505715971634*^9, 3.848505759769725*^9}, 3.848505844904539*^9, { 3.848505894650962*^9, 3.848505938749617*^9}, {3.848506379465135*^9, 3.84850639072604*^9}, {3.848506562978085*^9, 3.8485066114099817`*^9}, { 3.848507982276848*^9, 3.848508006430765*^9}, {3.848519080528989*^9, 3.848519220019948*^9}, {3.848519326729786*^9, 3.848519417765976*^9}, { 3.84851963089263*^9, 3.8485199254956007`*^9}, {3.848520070326681*^9, 3.848520177182826*^9}, 3.848520245186496*^9}, CellLabel->"In[3]:=", CellID->725120312], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[{ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {EdgeForm[{GrayLevel[1], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[8, 3] 2^Rational[1, 2], Rational[8, 3] 2^Rational[1, 2]}, {4 2^Rational[1, 2], 4 2^Rational[1, 2]}, { 8, 0}, {0, 0}, {Rational[8, 3], 0}, {0, 0}, { Rational[16, 3], 0}, { Rational[4, 3] 2^Rational[1, 2], Rational[4, 3] 2^Rational[1, 2]}}], BezierCurve[{{3.7712361663282534`, 3.7712361663282534`}, { 5.656854249492381, 5.656854249492381}, {8, 0}, {0, 0}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 1.8856180831641267`, 1.8856180831641267`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[8, 3] 2^Rational[1, 2], Rational[8, 3] 2^Rational[1, 2]}, { 4 2^Rational[1, 2], 4 2^Rational[1, 2]}, {8, 0}, {0, 0}, { Rational[8, 3], 0}, {0, 0}, {Rational[16, 3], 0}, { Rational[4, 3] 2^Rational[1, 2], Rational[4, 3] 2^Rational[1, 2]}}], BezierCurve[{{3.7712361663282534`, 3.7712361663282534`}, { 5.656854249492381, 5.656854249492381}, {8, 0}, {0, 0}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 1.8856180831641267`, 1.8856180831641267`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.471412, 0.108766, 0.527016], {EdgeForm[{GrayLevel[1], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{0, Rational[4, 3]}, {0, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, {4, 0}, {0, 4}, { 0, Rational[8, 3]}}], BezierCurve[{{0, 1.3333333333333333`}, {0, 0}, {0, 0}, { 2.6666666666666665`, 0}, {1.3333333333333333`, 0}, {4, 0}, {0, 4}, {0, 2.6666666666666665`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{0, Rational[4, 3]}, {0, 0}, {0, 0}, { Rational[8, 3], 0}, {Rational[4, 3], 0}, {4, 0}, {0, 4}, { 0, Rational[8, 3]}}], BezierCurve[{{0, 1.3333333333333333`}, {0, 0}, {0, 0}, { 2.6666666666666665`, 0}, {1.3333333333333333`, 0}, {4, 0}, {0, 4}, {0, 2.6666666666666665`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{-1, 0}, {0, -1}}}]}}}, PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], RowBox[{"{", RowBox[{"4", ",", "2"}], "}"}]}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[{ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {EdgeForm[{GrayLevel[1], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], FilledCurveBox[NCache[ BezierCurve[{{8 3^Rational[-1, 2], Rational[8, 3]}, { 4 3^Rational[1, 2], 4}, {8, 0}, {0, 0}, {Rational[8, 3], 0}, { 0, 0}, {Rational[16, 3], 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{4.618802153517007, 2.6666666666666665`}, { 6.928203230275509, 4}, {8, 0}, {0, 0}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 2.3094010767585034`, 1.3333333333333333`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], FilledCurveBox[NCache[ BezierCurve[{{8 3^Rational[-1, 2], Rational[8, 3]}, { 4 3^Rational[1, 2], 4}, {8, 0}, {0, 0}, {Rational[8, 3], 0}, { 0, 0}, {Rational[16, 3], 0}, { 4 3^Rational[-1, 2], Rational[4, 3]}}], BezierCurve[{{4.618802153517007, 2.6666666666666665`}, { 6.928203230275509, 4}, {8, 0}, {0, 0}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 2.3094010767585034`, 1.3333333333333333`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.471412, 0.108766, 0.527016], {EdgeForm[{GrayLevel[1], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{Rational[2, 3], 2 3^Rational[-1, 2]}, {0, 0}, {0, 0}, {Rational[8, 3], 0}, {Rational[4, 3], 0}, {4, 0}, { 2, 2 3^Rational[1, 2]}, { Rational[4, 3], 4 3^Rational[-1, 2]}}], BezierCurve[{{0.6666666666666666, 1.1547005383792517`}, {0, 0}, { 0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, {4, 0}, {2, 3.4641016151377544`}, {1.3333333333333333`, 2.3094010767585034`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{Rational[2, 3], 2 3^Rational[-1, 2]}, {0, 0}, {0, 0}, {Rational[8, 3], 0}, {Rational[4, 3], 0}, {4, 0}, { 2, 2 3^Rational[1, 2]}, { Rational[4, 3], 4 3^Rational[-1, 2]}}], BezierCurve[{{0.6666666666666666, 1.1547005383792517`}, {0, 0}, {0, 0}, {2.6666666666666665`, 0}, { 1.3333333333333333`, 0}, {4, 0}, {2, 3.4641016151377544`}, { 1.3333333333333333`, 2.3094010767585034`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}}, PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], RowBox[{"{", RowBox[{"6", ",", "3"}], "}"}]}, "RowDefault"], TraditionalForm]], ",", GraphicsBox[{ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {EdgeForm[{GrayLevel[1], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[4, 3] (1 + 5^Rational[1, 2]), Rational[ 16, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { 2 (1 + 5^Rational[1, 2]), 8 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {8, 0}, {0, 0}, {Rational[8, 3], 0}, {0, 0}, {Rational[16, 3], 0}, { Rational[2, 3] (1 + 5^Rational[1, 2]), Rational[ 8, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{4.314757303333053, 3.13485467889319}, { 6.47213595499958, 4.702282018339785}, {8, 0}, {0, 0}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 2.1573786516665265`, 1.567427339446595}}]]]}}, GeometricTransformationBox[ {RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], {FaceForm[RGBColor[0.2748608, 0.18226360000000003`, 0.7272788]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[4, 3] (1 + 5^Rational[1, 2]), Rational[ 16, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { 2 (1 + 5^Rational[1, 2]), 8 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {8, 0}, {0, 0}, {Rational[8, 3], 0}, {0, 0}, {Rational[16, 3], 0}, { Rational[2, 3] (1 + 5^Rational[1, 2]), Rational[ 8, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{4.314757303333053, 3.13485467889319}, { 6.47213595499958, 4.702282018339785}, {8, 0}, {0, 0}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 2.1573786516665265`, 1.567427339446595}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, {{ 0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.471412, 0.108766, 0.527016], {EdgeForm[{GrayLevel[1], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[ 4, 3] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 3] (-1 + 5^Rational[1, 2])}, {0, 0}, {0, 0}, {Rational[8, 3], 0}, {Rational[4, 3], 0}, {4, 0}, { 4 (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], -1 + 5^Rational[1, 2]}, { Rational[ 8, 3] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[2, 3] (-1 + 5^Rational[1, 2])}}], BezierCurve[{{1.2680753550602046`, 0.4120226591665966}, {0, 0}, { 0, 0}, {2.6666666666666665`, 0}, {1.3333333333333333`, 0}, {4, 0}, {3.804226065180614, 1.2360679774997898`}, { 2.5361507101204093`, 0.8240453183331932}}]]]}}, GeometricTransformationBox[ {RGBColor[0.471412, 0.108766, 0.527016], {FaceForm[RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[ 4, 3] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[1, 3] (-1 + 5^Rational[1, 2])}, {0, 0}, {0, 0}, {Rational[8, 3], 0}, {Rational[4, 3], 0}, {4, 0}, {4 (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], -1 + 5^Rational[1, 2]}, { Rational[ 8, 3] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2], Rational[2, 3] (-1 + 5^Rational[1, 2])}}], BezierCurve[{{1.2680753550602046`, 0.4120226591665966}, {0, 0}, {0, 0}, {2.6666666666666665`, 0}, { 1.3333333333333333`, 0}, {4, 0}, {3.804226065180614, 1.2360679774997898`}, {2.5361507101204093`, 0.8240453183331932}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{-1, 0}, {0, -1}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (1 + 5^Rational[1, 2])}}}, {{{1, 0}, {0, 1}}, {{0.8090169943749475, -0.5877852522924731}, { 0.5877852522924731, 0.8090169943749475}}, {{ 0.30901699437494745`, -0.9510565162951535}, {0.9510565162951535, 0.30901699437494745`}}, {{-0.30901699437494745`, \ -0.9510565162951535}, { 0.9510565162951535, -0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, {0.5877852522924731, -0.8090169943749475}}, {{-1, 0}, { 0, -1}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{-0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, -0.30901699437494745`}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}, {{0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, 0.8090169943749475}}}]]}}}, PlotLabel->FormBox[ TemplateBox[{"\"order:\"", TemplateBox[{2}, "Spacer1"], RowBox[{"{", RowBox[{"5", ",", "10"}], "}"}]}, "RowDefault"], TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.8485196173388643`*^9, {3.848519674794032*^9, 3.8485199259110737`*^9}, { 3.8485200743906116`*^9, 3.8485201775181828`*^9}, 3.848520350350318*^9, 3.8591939701101437`*^9}, CellLabel->"Out[3]=", CellID->666688301] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["SeedFunction", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.859189974063593*^9, 3.859189976663783*^9}}, CellID->742577599], Cell[TextData[{ "The option \"SeedFunction\" specifies the function for drawing mandala's \ seed segment. If the value is ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Automatic", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/Automatic", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", then the seed segment is drawn by taking into account the values of the \ options \"Radius\", \"NumberOfSeedElements\", \"KeepGridPoints\" and \ \"ConnectingFunction\"." }], "Text", TaggingRules->{}, CellChangeTimes->{{3.859189980103752*^9, 3.8591900455603323`*^9}, { 3.85919040174221*^9, 3.859190467996499*^9}, {3.859190640465355*^9, 3.859190647147015*^9}, {3.8591912181539803`*^9, 3.8591912956316147`*^9}, { 3.859192739794591*^9, 3.8591927775855837`*^9}, 3.859193853404265*^9, { 3.859301766411504*^9, 3.85930176746203*^9}, 3.8655233739469223`*^9}, CellID->444711388], Cell[TextData[{ "Here is a custom seed function that places circles or disks at random \ points within the segment that corresponds to ", Cell[BoxData[ StyleBox["radius", "TI"]], "InlineFormula", FontFamily->"Source Sans Pro"], " and ", Cell[BoxData[ StyleBox["angle", "TI"]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.859189980103752*^9, 3.8591900455603323`*^9}, { 3.85919040174221*^9, 3.859190467996499*^9}, {3.859190640465355*^9, 3.859190647147015*^9}, {3.8591912181539803`*^9, 3.8591912956316147`*^9}, { 3.859192739794591*^9, 3.8591927775855837`*^9}, 3.859193853404265*^9, 3.859301766411504*^9}, CellID->469567817], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "CustomSeed", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"CustomSeed", "[", RowBox[{"radius_", ",", "angle_", ",", RowBox[{"n_Integer", ":", "10"}], ",", RowBox[{"connectingFunc_", ":", "Polygon"}], ",", RowBox[{"keepGridPoints_", ":", "False"}], ",", RowBox[{"opts", ":", RowBox[{"OptionsPattern", "[", "]"}]}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{"cf", "=", "connectingFunc"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"If", "[", RowBox[{ RowBox[{"!", RowBox[{"MemberQ", "[", RowBox[{ RowBox[{"{", RowBox[{"Circle", ",", "Disk"}], "}"}], ",", "cf"}], "]"}]}], ",", RowBox[{"cf", "=", "Circle"}]}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"Flatten", "@", RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"cf", "[", RowBox[{"p", ",", RowBox[{"radius", "*", RowBox[{"RandomReal", "[", RowBox[{"{", RowBox[{"0.01", ",", "0.2"}], "}"}], "]"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"p", ",", RowBox[{"RandomPoint", "[", RowBox[{ RowBox[{"Disk", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}], ",", "radius", ",", RowBox[{"{", RowBox[{"0", ",", "angle"}], "}"}]}], "]"}], ",", "n"}], "]"}]}], "}"}]}], "]"}]}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.8591904706895514`*^9, 3.8591904792151117`*^9}, { 3.859190510658139*^9, 3.859190650884056*^9}, {3.8591907215173893`*^9, 3.8591908284527187`*^9}, {3.859190859074444*^9, 3.859190876986031*^9}, { 3.859190959212757*^9, 3.859190960810421*^9}, {3.8591910334065943`*^9, 3.859191035073594*^9}, {3.859191131326962*^9, 3.859191139432417*^9}, { 3.8591913045785313`*^9, 3.859191343394552*^9}, 3.8591926319346123`*^9}, CellLabel->"In[1]:=", CellID->680009395], Cell["\<\ Here are single-mandala mode mandalas made with the custom seed segment \ function defined above:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.859190654728709*^9, 3.859190670340732*^9}, { 3.859191073906234*^9, 3.8591910934229813`*^9}}, CellID->337292337], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "344", "]"}], ";"}], "\n", RowBox[{"Grid", "@", RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "->", "CustomSeed"}], "]"}], ",", RowBox[{"{", "2", "}"}], ",", RowBox[{"{", "3", "}"}]}], "]"}]}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.8591904706895514`*^9, 3.8591904792151117`*^9}, { 3.859190510658139*^9, 3.859190702587545*^9}, {3.859190765342194*^9, 3.8591907770757*^9}, {3.8591908381846724`*^9, 3.859190844428192*^9}, 3.859190886663261*^9, {3.859190938434361*^9, 3.859190951193665*^9}, { 3.859190999724663*^9, 3.8591910216398153`*^9}, {3.859192470922844*^9, 3.859192512532362*^9}}, CellLabel->"In[3]:=", CellID->104398128], Cell[BoxData[ TagBox[GridBox[{ { GraphicsBox[ GeometricTransformationBox[{{ CircleBox[{5.0759709531810575, 1.504041571051058}, 0.5019764370910615], CircleBox[{1.3839360597069308, 0.07132311287987522}, 1.340620416025028], CircleBox[{6.351764421932842, 1.394925782916995}, 1.5192797502220545], CircleBox[{5.766433416684654, 2.4835392109246723}, 0.24390255503917796], CircleBox[{7.036471374840202, 1.3714606746656786}, 1.989265100664378], CircleBox[{8.495928236199264, 3.767164527883176}, 1.840084578319447]}, GeometricTransformationBox[{ CircleBox[{5.0759709531810575, 1.504041571051058}, 0.5019764370910615], CircleBox[{1.3839360597069308, 0.07132311287987522}, 1.340620416025028], CircleBox[{6.351764421932842, 1.394925782916995}, 1.5192797502220545], CircleBox[{5.766433416684654, 2.4835392109246723}, 0.24390255503917796], CircleBox[{7.036471374840202, 1.3714606746656786}, 1.989265100664378], CircleBox[{8.495928236199264, 3.767164527883176}, 1.840084578319447]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], GraphicsBox[ GeometricTransformationBox[{{ CircleBox[{7.255939290887943, 2.8517364482072782}, 1.6314834665809341], CircleBox[{7.627111272794305, 4.370489572865321}, 1.7880768098939892], CircleBox[{7.41985428383889, 2.6165995806923443}, 0.6049178016875001], CircleBox[{7.758071697164489, 2.1552744384987825}, 0.9947707318605636], CircleBox[{4.248971800865849, 0.09154242344199875}, 1.5861253928547414], CircleBox[{8.914719363862053, 0.7481287506515849}, 0.6068688368718642]}, GeometricTransformationBox[{ CircleBox[{7.255939290887943, 2.8517364482072782}, 1.6314834665809341], CircleBox[{7.627111272794305, 4.370489572865321}, 1.7880768098939892], CircleBox[{7.41985428383889, 2.6165995806923443}, 0.6049178016875001], CircleBox[{7.758071697164489, 2.1552744384987825}, 0.9947707318605636], CircleBox[{4.248971800865849, 0.09154242344199875}, 1.5861253928547414], CircleBox[{8.914719363862053, 0.7481287506515849}, 0.6068688368718642]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], GraphicsBox[ GeometricTransformationBox[{{ CircleBox[{6.1946289311625975, 1.682052089538897}, 1.9084613531163352], CircleBox[{6.674780448039442, 2.3378324848716945}, 1.2832067859525602], CircleBox[{8.397728246302, 3.337926961481555}, 1.6184276481337827], CircleBox[{6.378815582608799, 2.7590738822753553}, 1.2113630270169506], CircleBox[{4.492783166954478, 1.8429346295048212}, 0.45825910360735717], CircleBox[{8.095110867653863, 2.5979597035894004}, 1.572431188107356]}, GeometricTransformationBox[{ CircleBox[{6.1946289311625975, 1.682052089538897}, 1.9084613531163352], CircleBox[{6.674780448039442, 2.3378324848716945}, 1.2832067859525602], CircleBox[{8.397728246302, 3.337926961481555}, 1.6184276481337827], CircleBox[{6.378815582608799, 2.7590738822753553}, 1.2113630270169506], CircleBox[{4.492783166954478, 1.8429346295048212}, 0.45825910360735717], CircleBox[{8.095110867653863, 2.5979597035894004}, 1.572431188107356]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]]}, { GraphicsBox[ GeometricTransformationBox[{{ CircleBox[{6.302660378761567, 3.4539478882185697}, 1.595311331769338], CircleBox[{6.856709229969018, 3.6062071519312155}, 1.1619531675507182], CircleBox[{8.321820616646153, 2.848329212001364}, 0.5690177065928398], CircleBox[{3.415863624918239, 1.5912312426143225}, 0.12370156868563964], CircleBox[{7.420634223061108, 0.47648137731773904}, 1.77089704939556], CircleBox[{3.126737164583526, 0.5107734038021488}, 0.3631521564099788]}, GeometricTransformationBox[{ CircleBox[{6.302660378761567, 3.4539478882185697}, 1.595311331769338], CircleBox[{6.856709229969018, 3.6062071519312155}, 1.1619531675507182], CircleBox[{8.321820616646153, 2.848329212001364}, 0.5690177065928398], CircleBox[{3.415863624918239, 1.5912312426143225}, 0.12370156868563964], CircleBox[{7.420634223061108, 0.47648137731773904}, 1.77089704939556], CircleBox[{3.126737164583526, 0.5107734038021488}, 0.3631521564099788]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], GraphicsBox[ GeometricTransformationBox[{{ CircleBox[{2.5606117368332093, 0.5602699754866574}, 1.5047185685665454], CircleBox[{5.217387283657478, 2.5164511700223997}, 0.10630008627974585], CircleBox[{9.919218245824265, 0.6039276964906704}, 0.7731123362355974], CircleBox[{2.653323524138458, 0.49434117266106004}, 0.43412633204596596], CircleBox[{2.031041823467731, 1.0685926617166523}, 0.47821579532449726], CircleBox[{3.5243217262275013, 2.00340723557813}, 1.4244290346107387]}, GeometricTransformationBox[{ CircleBox[{2.5606117368332093, 0.5602699754866574}, 1.5047185685665454], CircleBox[{5.217387283657478, 2.5164511700223997}, 0.10630008627974585], CircleBox[{9.919218245824265, 0.6039276964906704}, 0.7731123362355974], CircleBox[{2.653323524138458, 0.49434117266106004}, 0.43412633204596596], CircleBox[{2.031041823467731, 1.0685926617166523}, 0.47821579532449726], CircleBox[{3.5243217262275013, 2.00340723557813}, 1.4244290346107387]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], GraphicsBox[ GeometricTransformationBox[{{ CircleBox[{8.000570821551209, 1.4777243102942461}, 1.4214306567261514], CircleBox[{2.877585317007023, 1.115502784833358}, 0.8976245687557027], CircleBox[{2.5974121635919767, 1.4913351259226055}, 0.39370711898947114], CircleBox[{2.1948036728032023, 0.28265336968807125}, 0.6869118039937322], CircleBox[{6.153671093860532, 1.1697362392926833}, 1.4318204571264155], CircleBox[{5.915954271686661, 2.1084832306129595}, 1.6920157374929286]}, GeometricTransformationBox[{ CircleBox[{8.000570821551209, 1.4777243102942461}, 1.4214306567261514], CircleBox[{2.877585317007023, 1.115502784833358}, 0.8976245687557027], CircleBox[{2.5974121635919767, 1.4913351259226055}, 0.39370711898947114], CircleBox[{2.1948036728032023, 0.28265336968807125}, 0.6869118039937322], CircleBox[{6.153671093860532, 1.1697362392926833}, 1.4318204571264155], CircleBox[{5.915954271686661, 2.1084832306129595}, 1.6920157374929286]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]]} }, AutoDelete->False, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"]], "Output", TaggingRules->{}, CellChangeTimes->{{3.859190694261051*^9, 3.859190887140705*^9}, { 3.859190951574503*^9, 3.8591909646579514`*^9}, {3.8591910065885143`*^9, 3.859191064843502*^9}, {3.8591911167395973`*^9, 3.85919121109727*^9}, { 3.8591924716526747`*^9, 3.859192512765088*^9}, 3.859192651686337*^9, 3.859193970186331*^9}, CellLabel->"Out[4]=", CellID->152155460] }, Open ]], Cell["\<\ Here are multi-mandala mode colorized mandalas (with two seed elements and \ randomly selected connecting functions):\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.859191893154231*^9, 3.859191915520159*^9}, { 3.8591920055434723`*^9, 3.859192027041542*^9}, {3.8591925527301207`*^9, 3.859192618899766*^9}, {3.859192692138878*^9, 3.859192697134262*^9}, { 3.859194051634194*^9, 3.859194070500564*^9}}, CellID->535236867], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "344", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"Grid", "@", RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "->", RowBox[{"{", RowBox[{"10", ",", "6", ",", "3"}], "}"}]}], ",", RowBox[{"\"\\"", "->", "CustomSeed"}], ",", RowBox[{"\"\\"", "->", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"Circle", ",", "Disk"}], "}"}], "]"}]}], ",", RowBox[{"\"\\"", "->", "2"}], ",", RowBox[{"\"\\"", "->", "\"\\""}]}], "]"}], ",", RowBox[{"{", "2", "}"}], ",", RowBox[{"{", "3", "}"}]}], "]"}]}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.8591904706895514`*^9, 3.8591904792151117`*^9}, { 3.859190510658139*^9, 3.859190702587545*^9}, {3.859190765342194*^9, 3.8591907770757*^9}, {3.8591908381846724`*^9, 3.859190844428192*^9}, 3.859190886663261*^9, {3.859190938434361*^9, 3.859190951193665*^9}, { 3.859190999724663*^9, 3.8591910555017433`*^9}, {3.859191122936244*^9, 3.859191192143293*^9}, {3.859191660528129*^9, 3.859191673105938*^9}, { 3.859191917814929*^9, 3.85919199233468*^9}, {3.859192031994793*^9, 3.859192108484509*^9}, {3.859192142007646*^9, 3.859192183230468*^9}, { 3.8591923445161657`*^9, 3.859192446415291*^9}, 3.859192477535042*^9, { 3.85919251945091*^9, 3.859192543480543*^9}, {3.859192604505597*^9, 3.859192604977087*^9}, {3.859192657783379*^9, 3.859192719341111*^9}}, CellLabel->"In[5]:=", CellID->302827720], Cell[BoxData[ TagBox[GridBox[{ { GraphicsBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], GeometricTransformationBox[{{ DiskBox[{7.524089618447628, 1.3839188772137467}, 0.9840771679426186], DiskBox[{1.0599184084759126, 0.24392573492338093}, 1.7029018590606693]}, GeometricTransformationBox[{ DiskBox[{7.524089618447628, 1.3839188772137467}, 0.9840771679426186], DiskBox[{1.0599184084759126, 0.24392573492338093}, 1.7029018590606693]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.8130330000000001, 0.766292, 0.303458], GeometricTransformationBox[{{ DiskBox[{5.339883623810712, 1.9931149984513503}, 1.0509230132295047], DiskBox[{3.574300125236623, 1.201986337223936}, 0.5962264895792564]}, GeometricTransformationBox[{ DiskBox[{5.339883623810712, 1.9931149984513503}, 1.0509230132295047], DiskBox[{3.574300125236623, 1.201986337223936}, 0.5962264895792564]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.812807, 0.518694, 0.303459], GeometricTransformationBox[{{ DiskBox[{1.7804961306441474, 0.09621361704079706}, 0.5702592376478128], DiskBox[{1.747319783255492, 0.4678286059365081}, 0.128962265161138]}, GeometricTransformationBox[{ DiskBox[{1.7804961306441474, 0.09621361704079706}, 0.5702592376478128], DiskBox[{1.747319783255492, 0.4678286059365081}, 0.128962265161138]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], GraphicsBox[{ {RGBColor[0.624866, 0.673302, 0.264296], GeometricTransformationBox[{{ DiskBox[{6.7741296942805205, 1.941927336718625}, 1.3490271617214118], DiskBox[{4.560256362245841, 0.7712316882951333}, 0.3237840234956041]}, GeometricTransformationBox[{ DiskBox[{6.7741296942805205, 1.941927336718625}, 1.3490271617214118], DiskBox[{4.560256362245841, 0.7712316882951333}, 0.3237840234956041]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.264425, 0.423024, 0.3849], GeometricTransformationBox[{{ DiskBox[{3.033336905741046, 0.8977945350571098}, 1.0283323865867082], DiskBox[{0.2699139076956599, 0.06171672391907229}, 1.1263075098436999]}, GeometricTransformationBox[{ DiskBox[{3.033336905741046, 0.8977945350571098}, 1.0283323865867082], DiskBox[{0.2699139076956599, 0.06171672391907229}, 1.1263075098436999]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.253651, 0.344893, 0.558151], GeometricTransformationBox[{{ DiskBox[{2.1894362774490466, 0.023385892245319312}, 0.4971699811045523], DiskBox[{2.4559397973747874, 0.5006244987565346}, 0.28362027288942543]}, GeometricTransformationBox[{ DiskBox[{2.1894362774490466, 0.023385892245319312}, 0.4971699811045523], DiskBox[{2.4559397973747874, 0.5006244987565346}, 0.28362027288942543]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], GeometricTransformationBox[{{ DiskBox[{9.28418704239867, 2.960730297174832}, 1.9604130413676535], DiskBox[{8.871632973636315, 0.5672056621366426}, 0.45125791064506066]}, GeometricTransformationBox[{ DiskBox[{9.28418704239867, 2.960730297174832}, 1.9604130413676535], DiskBox[{8.871632973636315, 0.5672056621366426}, 0.45125791064506066]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.72987, 0.239399, 0.230961], GeometricTransformationBox[{{ DiskBox[{4.054172922918605, 0.012332259240518513}, 0.2078222791787223], DiskBox[{4.423202686397644, 0.30701377419431386}, 0.5824579798336393]}, GeometricTransformationBox[{ DiskBox[{4.054172922918605, 0.012332259240518513}, 0.2078222791787223], DiskBox[{4.423202686397644, 0.30701377419431386}, 0.5824579798336393]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.416394, 0.555345, 0.24182], GeometricTransformationBox[{{ DiskBox[{2.2475278020997944, 1.186531313619633}, 0.48533940583061874], DiskBox[{0.5271540285101426, 0.16323737373180588}, 0.40595231552090527]}, GeometricTransformationBox[{ DiskBox[{2.2475278020997944, 1.186531313619633}, 0.48533940583061874], DiskBox[{0.5271540285101426, 0.16323737373180588}, 0.40595231552090527]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}]}, { GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], GeometricTransformationBox[{{ CircleBox[{8.241574555826155, 0.04628556621567457}, 1.1110836099140808], CircleBox[{7.751682820554979, 2.500921020017798}, 0.10958948299424592]}, GeometricTransformationBox[{ CircleBox[{8.241574555826155, 0.04628556621567457}, 1.1110836099140808], CircleBox[{7.751682820554979, 2.500921020017798}, 0.10958948299424592]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], GeometricTransformationBox[{{ CircleBox[{3.5059851377287714, 0.739896737088257}, 0.11163252799655049], CircleBox[{3.1366505868776478, 1.503158395720181}, 0.12020510776777532]}, GeometricTransformationBox[{ CircleBox[{3.5059851377287714, 0.739896737088257}, 0.11163252799655049], CircleBox[{3.1366505868776478, 1.503158395720181}, 0.12020510776777532]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.812807, 0.518694, 0.303459], GeometricTransformationBox[{{ CircleBox[{2.204974692212044, 0.22799457872530066}, 0.2906868012477623], CircleBox[{2.6743084996365902, 0.9772648445783365}, 0.5621618850149495]}, GeometricTransformationBox[{ CircleBox[{2.204974692212044, 0.22799457872530066}, 0.2906868012477623], CircleBox[{2.6743084996365902, 0.9772648445783365}, 0.5621618850149495]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], GeometricTransformationBox[{{ CircleBox[{5.056920746470772, 2.6837681188572398}, 1.6035685008397165], CircleBox[{8.41314997600217, 0.6975657063577194}, 0.2255244256551711]}, GeometricTransformationBox[{ CircleBox[{5.056920746470772, 2.6837681188572398}, 1.6035685008397165], CircleBox[{8.41314997600217, 0.6975657063577194}, 0.2255244256551711]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.237736, 0.340215, 0.575113], GeometricTransformationBox[{{ CircleBox[{5.493883245009161, 1.4516123272763959}, 1.0890609957209865], CircleBox[{2.6814670317195017, 0.243686207949318}, 1.1507808210758343]}, GeometricTransformationBox[{ CircleBox[{5.493883245009161, 1.4516123272763959}, 1.0890609957209865], CircleBox[{2.6814670317195017, 0.243686207949318}, 1.1507808210758343]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.812807, 0.518694, 0.303459], GeometricTransformationBox[{{ CircleBox[{2.2371909103065777, 0.10358542460190076}, 0.4823393799397153], CircleBox[{1.6774473516799864, 0.05936972925315379}, 0.4764928676411751]}, GeometricTransformationBox[{ CircleBox[{2.2371909103065777, 0.10358542460190076}, 0.4823393799397153], CircleBox[{1.6774473516799864, 0.05936972925315379}, 0.4764928676411751]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}], GraphicsBox[{ {RGBColor[0.416394, 0.555345, 0.24182], GeometricTransformationBox[{{ DiskBox[{2.89324717073843, 0.7733871649314519}, 1.8394158123874833], DiskBox[{8.037505114033094, 1.3211738087379723}, 0.1452430076682204]}, GeometricTransformationBox[{ DiskBox[{2.89324717073843, 0.7733871649314519}, 1.8394158123874833], DiskBox[{8.037505114033094, 1.3211738087379723}, 0.1452430076682204]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.264425, 0.423024, 0.3849], GeometricTransformationBox[{{ DiskBox[{4.265817358539552, 1.8259347840671287}, 1.1132145985089226], DiskBox[{4.277353691914374, 1.8039470273065654}, 0.7496436853133555]}, GeometricTransformationBox[{ DiskBox[{4.265817358539552, 1.8259347840671287}, 1.1132145985089226], DiskBox[{4.277353691914374, 1.8039470273065654}, 0.7496436853133555]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.72987, 0.239399, 0.230961], GeometricTransformationBox[{{ DiskBox[{1.2062316712032275, 0.3495153213781575}, 0.2529605640706707], DiskBox[{1.3529514646310912, 0.23410281662573995}, 0.20624289092289536]}, GeometricTransformationBox[{ DiskBox[{1.2062316712032275, 0.3495153213781575}, 0.2529605640706707], DiskBox[{1.3529514646310912, 0.23410281662573995}, 0.20624289092289536]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}]} }, AutoDelete->False, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.8591924781762533`*^9, {3.859192515857903*^9, 3.859192543821972*^9}, { 3.8591926537500763`*^9, 3.859192719704176*^9}, 3.859193970248598*^9}, CellLabel->"Out[6]=", CellID->910706095] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["SymmetricSeed", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7792096714085712`*^9, 3.779209680295725*^9}, 3.7792509423068247`*^9, {3.779813653511994*^9, 3.779813654155367*^9}}, CellID->369743753], Cell[TextData[{ "The option ", Cell[BoxData["\"\\""], "InlineFormula", FontFamily->"Source Sans Pro"], " specifies whether the seed segment should be symmetric:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7795554198248053`*^9, 3.7795554360570917`*^9}, 3.779813657990252*^9, 3.865523399417124*^9}, CellID->435015717], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "122", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "s"}], ",", RowBox[{"PlotLabel", "\[Rule]", "s"}]}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"s", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792096816355667`*^9, 3.779209715576331*^9}, { 3.779209822736602*^9, 3.7792098279882298`*^9}, {3.779209917993441*^9, 3.7792099429427433`*^9}, {3.779209977584106*^9, 3.779209990182027*^9}, { 3.779210021719304*^9, 3.7792100595641727`*^9}, {3.779210132816928*^9, 3.7792102201386213`*^9}, {3.779210673764666*^9, 3.779210736120331*^9}}, CellLabel->"In[1]:=", CellID->972028482], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, {0, 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { 5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, {5, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {8.333333333333334, 0}, {6.666666666666667, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, {10, 0}, {8.660254037844386, 5}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, {0, 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { 5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {0, 0}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, {5, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {8.333333333333334, 0}, {6.666666666666667, 0}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, {10, 0}, {8.660254037844386, 5}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {0, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["True", TraditionalForm]], ",", GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 10 3^Rational[-1, 2]}, {5, 0}, {0, 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, {10, 0}, { 5, 5 3^Rational[1, 2]}, {Rational[10, 3], 0}, {Rational[5, 3], 0}, { 0, 0}}], BezierCurve[{{3.3333333333333335`, 5.773502691896258}, {5, 0}, {0, 0}, {0.8333333333333334, 1.4433756729740645`}, {2.5, 4.330127018922193}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {1.6666666666666667`, 2.886751345948129}, { 4.166666666666667, 7.216878364870323}, {10, 0}, { 5, 8.660254037844386}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {0, 0}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, {0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], PlotLabel->FormBox["False", TraditionalForm]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530190036433*^9, 3.7795306966126223`*^9, 3.7795497262854633`*^9, 3.7795520787628593`*^9, 3.779554207889797*^9, 3.779554823548723*^9, 3.780352327767679*^9, 3.780396925564261*^9, 3.78039744601023*^9, 3.7803998589835987`*^9, 3.78040023366628*^9, 3.780400373001276*^9, 3.780401127604788*^9, 3.780401290266555*^9, 3.780401811503352*^9, 3.780402266249761*^9, 3.780402394811124*^9, 3.848507708499311*^9, 3.859193970264062*^9}, CellLabel->"Out[1]=", CellID->962058668] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["Properties and Relations", "Subsection", TaggingRules->{}, CellChangeTimes->{{3.848521234235684*^9, 3.84852124325846*^9}}, CellID->232113220], Cell[TextData[{ "Using combinations of settings for ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["ColorFunction", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/ColorFunction", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["EdgeForm", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/EdgeForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " and ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["FaceForm", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/FaceForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " can produce certain more nuanced mandala effects than, say, just using ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["ColorFunction", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/ColorFunction", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.848519036347575*^9, 3.848519071527295*^9}, { 3.8485194296227627`*^9, 3.8485194880897512`*^9}, {3.84851959125532*^9, 3.8485195948896103`*^9}, {3.8485209551557703`*^9, 3.84852100463732*^9}, { 3.865523422337454*^9, 3.865523422896964*^9}}, CellID->306893273], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"SeedRandom", "[", "89", "]"}], ";", "\[IndentingNewLine]", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "->", RowBox[{"{", RowBox[{"8", ",", "6", ",", "4"}], "}"}]}], ",", RowBox[{"\"\\"", "->", RowBox[{"{", RowBox[{"12", ",", "6", ",", "3"}], "}"}]}], ",", RowBox[{"\"\\"", "->", RowBox[{"FilledCurve", "@*", "BezierCurve"}]}], ",", RowBox[{"ColorFunction", "\[Rule]", "\"\\""}], ",", RowBox[{"ImageSize", "\[Rule]", "300"}], ",", "opts"}], "]"}]}], ",", RowBox[{"{", RowBox[{"opts", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"FaceForm", "->", RowBox[{"{", RowBox[{"Opacity", "[", "0.7", "]"}], "}"}]}], ",", RowBox[{"EdgeForm", "\[Rule]", RowBox[{"{", RowBox[{"White", ",", RowBox[{"Thickness", "[", "0.006", "]"}], ",", RowBox[{"Opacity", "[", "1", "]"}]}], "}"}]}]}], "}"}], ",", RowBox[{"{", "}"}]}], "}"}]}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8485054508279257`*^9, 3.8485055079095287`*^9}, { 3.848505715971634*^9, 3.848505759769725*^9}, 3.848505844904539*^9, { 3.848505894650962*^9, 3.848505938749617*^9}, {3.848506379465135*^9, 3.84850639072604*^9}, {3.848506562978085*^9, 3.8485066114099817`*^9}, { 3.848507982276848*^9, 3.848508006430765*^9}, {3.848519080528989*^9, 3.848519220019948*^9}, {3.848519326729786*^9, 3.848519417765976*^9}, { 3.8485195684194717`*^9, 3.848519569981724*^9}, {3.848521012239744*^9, 3.848521072404182*^9}, {3.848521108765751*^9, 3.848521126772129*^9}, { 3.8485212508309383`*^9, 3.848521262665493*^9}}, CellLabel->"In[1]:=", CellID->83925213], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[{ {RGBColor[0.8666668, 0.41014300000000004`, 0.05642583999999999], {EdgeForm[{GrayLevel[1], Opacity[1], Thickness[0.006]}], FaceForm[ Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8666668, 0.41014300000000004`, 0.05642583999999999], {FaceForm[RGBColor[ 0.8666668, 0.41014300000000004`, 0.05642583999999999]], FilledCurveBox[NCache[ BezierCurve[{{(Rational[4, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[4, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[8, 3], 0}, {0, 0}, { Rational[16, 3], 0}, {(Rational[2, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[2, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {(2 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (2 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {8, 0}}], BezierCurve[{{5.15160440687503, 1.3803682405467772`}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 2.575802203437515, 0.6901841202733886}, {7.7274066103125465`, 2.070552360820166}, {0, 0}, {8, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8666668, 0.41014300000000004`, 0.05642583999999999], {FaceForm[RGBColor[ 0.8666668, 0.41014300000000004`, 0.05642583999999999]], FilledCurveBox[NCache[ BezierCurve[{{(Rational[4, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[4, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[8, 3], 0}, {0, 0}, { Rational[16, 3], 0}, {(Rational[2, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[2, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {(2 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (2 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {8, 0}}], BezierCurve[{{5.15160440687503, 1.3803682405467772`}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 2.575802203437515, 0.6901841202733886}, {7.7274066103125465`, 2.070552360820166}, {0, 0}, {8, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]]}}, {RGBColor[0., 0.00505074, 0.191104], {EdgeForm[{GrayLevel[1], Opacity[1], Thickness[0.006]}], FaceForm[ Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0., 0.00505074, 0.191104], {FaceForm[RGBColor[0., 0.00505074, 0.191104]], FilledCurveBox[NCache[ BezierCurve[{{6, 0}, {2 3^Rational[1, 2], 2}, { 3^Rational[1, 2], 1}, {0, 0}, {2, 0}, {4, 0}, { 3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{6, 0}, {3.4641016151377544`, 2}, { 1.7320508075688772`, 1}, {0, 0}, {2, 0}, {4, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0., 0.00505074, 0.191104], {FaceForm[RGBColor[0., 0.00505074, 0.191104]], FilledCurveBox[NCache[ BezierCurve[{{6, 0}, {2 3^Rational[1, 2], 2}, { 3^Rational[1, 2], 1}, {0, 0}, {2, 0}, {4, 0}, { 3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{6, 0}, {3.4641016151377544`, 2}, { 1.7320508075688772`, 1}, {0, 0}, {2, 0}, {4, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.9111112, 0.43091700000000005`, 0.049519259999999996`], {EdgeForm[{GrayLevel[1], Opacity[1], Thickness[0.006]}], FaceForm[ Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.9111112, 0.43091700000000005`, 0.049519259999999996`], {FaceForm[RGBColor[ 0.9111112, 0.43091700000000005`, 0.049519259999999996`]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}, {4, 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}, {Rational[4, 3], 0}, { Rational[8, 3], 0}, {2, 2 3^Rational[1, 2]}}], BezierCurve[{{0, 0}, {0, 0}, {1.3333333333333333`, 2.3094010767585034`}, {4, 0}, {0.6666666666666666, 1.1547005383792517`}, {1.3333333333333333`, 0}, { 2.6666666666666665`, 0}, {2, 3.4641016151377544`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.9111112, 0.43091700000000005`, 0.049519259999999996`], {FaceForm[RGBColor[ 0.9111112, 0.43091700000000005`, 0.049519259999999996`]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}, {4, 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}, {Rational[4, 3], 0}, { Rational[8, 3], 0}, {2, 2 3^Rational[1, 2]}}], BezierCurve[{{0, 0}, {0, 0}, {1.3333333333333333`, 2.3094010767585034`}, {4, 0}, {0.6666666666666666, 1.1547005383792517`}, {1.3333333333333333`, 0}, { 2.6666666666666665`, 0}, {2, 3.4641016151377544`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}}, ImageSize->300], ",", GraphicsBox[{ {RGBColor[0.8666668, 0.41014300000000004`, 0.05642583999999999], GeometricTransformationBox[{ {RGBColor[0.8666668, 0.41014300000000004`, 0.05642583999999999], {FaceForm[RGBColor[ 0.8666668, 0.41014300000000004`, 0.05642583999999999]], FilledCurveBox[NCache[ BezierCurve[{{(Rational[4, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[4, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[8, 3], 0}, {0, 0}, { Rational[16, 3], 0}, {(Rational[2, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[2, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {(2 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (2 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {8, 0}}], BezierCurve[{{5.15160440687503, 1.3803682405467772`}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 2.575802203437515, 0.6901841202733886}, {7.7274066103125465`, 2.070552360820166}, {0, 0}, {8, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8666668, 0.41014300000000004`, 0.05642583999999999], {FaceForm[RGBColor[ 0.8666668, 0.41014300000000004`, 0.05642583999999999]], FilledCurveBox[NCache[ BezierCurve[{{(Rational[4, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[4, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[8, 3], 0}, {0, 0}, { Rational[16, 3], 0}, {(Rational[2, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[2, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {(2 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (2 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {8, 0}}], BezierCurve[{{5.15160440687503, 1.3803682405467772`}, { 2.6666666666666665`, 0}, {0, 0}, {5.333333333333333, 0}, { 2.575802203437515, 0.6901841202733886}, {7.7274066103125465`, 2.070552360820166}, {0, 0}, {8, 0}}]]]}}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]]}, {RGBColor[0., 0.00505074, 0.191104], GeometricTransformationBox[{ {RGBColor[0., 0.00505074, 0.191104], {FaceForm[RGBColor[0., 0.00505074, 0.191104]], FilledCurveBox[NCache[ BezierCurve[{{6, 0}, {2 3^Rational[1, 2], 2}, { 3^Rational[1, 2], 1}, {0, 0}, {2, 0}, {4, 0}, { 3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{6, 0}, {3.4641016151377544`, 2}, { 1.7320508075688772`, 1}, {0, 0}, {2, 0}, {4, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0., 0.00505074, 0.191104], {FaceForm[RGBColor[0., 0.00505074, 0.191104]], FilledCurveBox[NCache[ BezierCurve[{{6, 0}, {2 3^Rational[1, 2], 2}, { 3^Rational[1, 2], 1}, {0, 0}, {2, 0}, {4, 0}, { 3 3^Rational[1, 2], 3}, {0, 0}}], BezierCurve[{{6, 0}, {3.4641016151377544`, 2}, { 1.7320508075688772`, 1}, {0, 0}, {2, 0}, {4, 0}, { 5.196152422706632, 3}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}, {RGBColor[0.9111112, 0.43091700000000005`, 0.049519259999999996`], GeometricTransformationBox[{ {RGBColor[0.9111112, 0.43091700000000005`, 0.049519259999999996`], {FaceForm[RGBColor[ 0.9111112, 0.43091700000000005`, 0.049519259999999996`]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}, {4, 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}, {Rational[4, 3], 0}, { Rational[8, 3], 0}, {2, 2 3^Rational[1, 2]}}], BezierCurve[{{0, 0}, {0, 0}, {1.3333333333333333`, 2.3094010767585034`}, {4, 0}, {0.6666666666666666, 1.1547005383792517`}, {1.3333333333333333`, 0}, { 2.6666666666666665`, 0}, {2, 3.4641016151377544`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.9111112, 0.43091700000000005`, 0.049519259999999996`], {FaceForm[RGBColor[ 0.9111112, 0.43091700000000005`, 0.049519259999999996`]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}, {4, 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}, {Rational[4, 3], 0}, { Rational[8, 3], 0}, {2, 2 3^Rational[1, 2]}}], BezierCurve[{{0, 0}, {0, 0}, {1.3333333333333333`, 2.3094010767585034`}, {4, 0}, {0.6666666666666666, 1.1547005383792517`}, {1.3333333333333333`, 0}, { 2.6666666666666665`, 0}, {2, 3.4641016151377544`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, ImageSize->300]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.848521062936729*^9, 3.848521072928548*^9}, { 3.848521113539798*^9, 3.8485211312637053`*^9}, {3.84852125514503*^9, 3.848521263052721*^9}, 3.85919397029727*^9}, CellLabel->"Out[1]=", CellID->955522231] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->14107564], Cell[TextData[{ Cell[BoxData["RandomMandala"], "InlineFormula", FontFamily->"Source Sans Pro"], " can be used in more or less the same way as the resource function ", Cell[BoxData[ ButtonBox["RandomScribble", BaseStyle->"Hyperlink", ButtonData->{ URL["https://resources.wolframcloud.com/FunctionRepository/resources/\ RandomScribble/"], None}, ButtonNote-> "https://resources.wolframcloud.com/FunctionRepository/resources/\ RandomScribble/"]], "InlineFormula", FontFamily->"Source Sans Pro"], "; here ", Cell[BoxData["RandomMandala"], "InlineFormula", FontFamily->"Source Sans Pro"], " is used with the resource function ", Cell[BoxData[ ButtonBox["TexturizePolygons", BaseStyle->"Hyperlink", ButtonData->{ URL["https://resources.wolframcloud.com/FunctionRepository/resources/\ TexturizePolygons/"], None}, ButtonNote-> "https://resources.wolframcloud.com/FunctionRepository/resources/\ TexturizePolygons/"]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.8485213200049973`*^9, 3.8485213577189217`*^9}, { 3.859301789048774*^9, 3.859301792717432*^9}, {3.865523453689302*^9, 3.865523473914998*^9}, {3.865699393448504*^9, 3.865699394257207*^9}}, CellID->910336827], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "5353", "]"}], ";"}], "\n", RowBox[{ RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", RowBox[{"ColorFunction", "->", RowBox[{"ColorData", "[", "\"\\"", "]"}]}], "]"}], ",", "4"}], "]"}], ",", RowBox[{"\"\\"", "->", "\"\\""}]}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.8485213078210287`*^9, 3.848521307823225*^9}}, CellLabel->"In[1]:=", CellID->82979150], Cell[BoxData[ GraphicsBox[ {Opacity[1], EdgeForm[Opacity[ NCache[ Rational[1, 5], 0.2]]], Specularity[ GrayLevel[1], 20], {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], BezierCurveBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {6.666666666666667, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}}]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], BezierCurveBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, { 2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {6.666666666666667, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 2] (7 + 3 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 4] (3 + 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (11 + 5 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { 3 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (13 + 5 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}}, {{ 6.854101966249685, 1.5388417685876268`}, {6.545084971874737, 2.48989828488278}, {5.545084971874737, 2.48989828488278}, { 5.23606797749979, 1.5388417685876268`}, {6.045084971874737, 0.9510565162951535}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { FaceForm[ RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[ NCache[ BezierCurve[{{ Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[25, 3], 0}, {5, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {8.333333333333334, 0}, {5, 0}, { 10, 0}, {4.330127018922193, 2.5}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, {0, 0}, { 8.660254037844386, 5}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}}]]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { FaceForm[ RGBColor[0.513417, 0.72992, 0.440682]], FilledCurveBox[ NCache[ BezierCurve[{{ Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[25, 3], 0}, {5, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {8.333333333333334, 0}, {5, 0}, {10, 0}, {4.330127018922193, 2.5}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, {0, 0}, { 8.660254037844386, 5}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{3 + 5^Rational[1, 2], (Rational[25, 4] + Rational[5, 2] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (11 + 5 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 4] (3 + 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (7 + 3 5^Rational[1, 2]), (Rational[25, 4] + Rational[5, 2] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (13 + 5 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}}, {{ 5.23606797749979, 3.440954801177934}, {5.545084971874737, 2.48989828488278}, {6.545084971874737, 2.48989828488278}, { 6.854101966249685, 3.440954801177934}, {6.045084971874737, 4.028740053470407}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { FaceForm[ RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], FilledCurveBox[ NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {10, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}}]]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { FaceForm[ RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[ NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {10, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{4 + Rational[3, 2] 5^Rational[1, 2], (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[5, 4] (3 + 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (7 + 3 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 2] (3 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (17 + 7 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}}, {{ 7.354101966249685, 3.0776835371752536`}, {6.545084971874737, 2.48989828488278}, {6.854101966249685, 1.5388417685876268`}, { 7.854101966249685, 1.5388417685876268`}, {8.163118960624633, 2.48989828488278}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { RGBColor[0.8083416, 0.7110806, 0.255976], LineBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {0, 0}, { Rational[5, 3], 0}, { Rational[25, 3], 0}, {10, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, {0, 0}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}}]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], LineBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {0, 0}, { Rational[5, 3], 0}, { Rational[25, 3], 0}, {10, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, {0, 0}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 4] (15 + 7 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (7 + 3 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (13 + 5 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 2] (2 + 5^Rational[1, 2]), 0}, { 4 + Rational[3, 2] 5^Rational[1, 2], 0}}, {{7.663118960624632, 0.9510565162951535}, {6.854101966249685, 1.5388417685876268`}, { 6.045084971874737, 0.9510565162951535}, {6.354101966249685, 0}, { 7.354101966249685, 0}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], BezierCurveBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {6.666666666666667, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}}]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], BezierCurveBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, { 2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {6.666666666666667, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[7, 2] + 5^Rational[1, 2], 0}, { Rational[1, 4] (13 + 5 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { 3 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (11 + 3 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 2] + 5^Rational[1, 2], 0}}, {{5.73606797749979, 0}, { 6.045084971874737, 0.9510565162951535}, {5.23606797749979, 1.5388417685876268`}, {4.427050983124842, 0.9510565162951535}, { 4.73606797749979, 0}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { FaceForm[ RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[ NCache[ BezierCurve[{{ Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[25, 3], 0}, {5, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {8.333333333333334, 0}, {5, 0}, { 10, 0}, {4.330127018922193, 2.5}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, {0, 0}, { 8.660254037844386, 5}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}}]]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { FaceForm[ RGBColor[0.513417, 0.72992, 0.440682]], FilledCurveBox[ NCache[ BezierCurve[{{ Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[25, 3], 0}, {5, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {8.333333333333334, 0}, {5, 0}, {10, 0}, {4.330127018922193, 2.5}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, {0, 0}, { 8.660254037844386, 5}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{2 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { 3 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (11 + 5 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 2] + 5^Rational[1, 2], (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[3, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}}, {{ 4.23606797749979, 1.5388417685876268`}, {5.23606797749979, 1.5388417685876268`}, {5.545084971874737, 2.48989828488278}, { 4.73606797749979, 3.0776835371752536`}, {3.9270509831248424`, 2.48989828488278}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { FaceForm[ RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], FilledCurveBox[ NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {10, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}}]]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { FaceForm[ RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[ NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {10, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[3, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (5 + 3 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (3 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (7 + 3 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { 2 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}}, {{ 3.9270509831248424`, 2.48989828488278}, {2.9270509831248424`, 2.48989828488278}, {2.618033988749895, 1.5388417685876268`}, { 3.4270509831248424`, 0.9510565162951535}, {4.23606797749979, 1.5388417685876268`}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { RGBColor[0.8083416, 0.7110806, 0.255976], LineBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {0, 0}, { Rational[5, 3], 0}, { Rational[25, 3], 0}, {10, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, {0, 0}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}}]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], LineBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {0, 0}, { Rational[5, 3], 0}, { Rational[25, 3], 0}, {10, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, {0, 0}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 4] (5 + 3 5^Rational[1, 2]), Rational[1, 4] (10 - 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (3 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (10 - 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (2 + 5^Rational[1, 2]), 0}}, {{2.9270509831248424`, 0.5877852522924731}, {2.618033988749895, 1.5388417685876268`}, { 1.618033988749895, 1.5388417685876268`}, {1.3090169943749475`, 0.5877852522924731}, {2.118033988749895, 0}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], BezierCurveBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {6.666666666666667, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}}]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { RGBColor[0.6660832000000002, 0.7430418, 0.32293539999999993`], BezierCurveBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, { 2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {6.666666666666667, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, {5, 0}, {10, 0}, {0, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { 0, Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}}, {{ 0.8090169943749475, 0.9510565162951535}, {1.618033988749895, 1.5388417685876268`}, {1.3090169943749475`, 2.48989828488278}, { 0.30901699437494745`, 2.48989828488278}, {0, 1.5388417685876268`}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { FaceForm[ RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[ NCache[ BezierCurve[{{ Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[25, 3], 0}, {5, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {8.333333333333334, 0}, {5, 0}, { 10, 0}, {4.330127018922193, 2.5}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, {0, 0}, { 8.660254037844386, 5}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}}]]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { FaceForm[ RGBColor[0.513417, 0.72992, 0.440682]], FilledCurveBox[ NCache[ BezierCurve[{{ Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[25, 3], 0}, {5, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {8.333333333333334, 0}, {5, 0}, {10, 0}, {4.330127018922193, 2.5}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, {0, 0}, { 8.660254037844386, 5}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 2], (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (2 + 5^Rational[1, 2]), (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (5 + 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}}, {{0.5, 3.0776835371752536`}, {1.3090169943749475`, 2.48989828488278}, { 2.118033988749895, 3.0776835371752536`}, {1.8090169943749475`, 4.028740053470407}, {0.8090169943749475, 4.028740053470407}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { FaceForm[ RGBColor[0.29795960000000005`, 0.5657928, 0.7522386]], FilledCurveBox[ NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {10, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}}]]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { FaceForm[ RGBColor[0.471412, 0.108766, 0.527016]], FilledCurveBox[ NCache[ BezierCurve[{{10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, {5, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}, {Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}], BezierCurve[{{5.773502691896258, 3.3333333333333335`}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {10, 0}, { 4.330127018922193, 2.5}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {5, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[3, 4] (1 + 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (2 + 5^Rational[1, 2]), (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (5 + 3 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 2] + 5^Rational[1, 2], (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (7 + 3 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}}, {{ 2.4270509831248424`, 4.028740053470407}, {2.118033988749895, 3.0776835371752536`}, {2.9270509831248424`, 2.48989828488278}, { 3.73606797749979, 3.0776835371752536`}, {3.4270509831248424`, 4.028740053470407}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[ GeometricTransformationBox[{{ GrayLevel[0.25], { RGBColor[0.8083416, 0.7110806, 0.255976], LineBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {0, 0}, { Rational[5, 3], 0}, { Rational[25, 3], 0}, {10, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, {0, 0}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}}]]}}, GeometricTransformationBox[{ GrayLevel[0.25], { RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], LineBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[10, 3], 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {0, 0}, { Rational[5, 3], 0}, { Rational[25, 3], 0}, {10, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, {0, 0}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}}]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, {0, -1}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (3 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (5 + 3 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (2 + 5^Rational[1, 2]), (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}}, {{1.3090169943749475`, 2.48989828488278}, { 1.618033988749895, 1.5388417685876268`}, {2.618033988749895, 1.5388417685876268`}, {2.9270509831248424`, 2.48989828488278}, { 2.118033988749895, 3.0776835371752536`}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.848521308270248*^9, 3.859193972049754*^9}, CellLabel->"Out[2]=", CellID->187899065] }, Open ]], Cell[TextData[{ "Here the resource function ", Cell[BoxData[ ButtonBox["RandomScribble", BaseStyle->"Hyperlink", ButtonData->{ URL["https://resources.wolframcloud.com/FunctionRepository/resources/\ RandomScribble/"], None}, ButtonNote-> "https://resources.wolframcloud.com/FunctionRepository/resources/\ RandomScribble/"]], "InlineFormula", FontFamily->"Source Sans Pro"], " is used with the resource function ", Cell[BoxData[ ButtonBox["TexturizePolygons", BaseStyle->"Hyperlink", ButtonData->{ URL["https://resources.wolframcloud.com/FunctionRepository/resources/\ TexturizePolygons/"], None}, ButtonNote-> "https://resources.wolframcloud.com/FunctionRepository/resources/\ TexturizePolygons/"]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.8485213678725557`*^9, 3.848521384175776*^9}, { 3.86552349734529*^9, 3.865523505481179*^9}, {3.865699402297193*^9, 3.865699402809103*^9}}, CellID->616913766], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "2323", "]"}], ";"}], "\n", RowBox[{ RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", RowBox[{ RowBox[{"\"\\"", "->", RowBox[{"RandomInteger", "[", RowBox[{ RowBox[{"{", RowBox[{"600", ",", "820"}], "}"}], ",", "2"}], "]"}]}], ",", RowBox[{"ColorFunction", "->", RowBox[{"ColorData", "[", "\"\\"", "]"}]}]}], "]"}], ",", "4"}], "]"}], ",", RowBox[{"\"\\"", "->", "\"\\""}]}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.84852129871665*^9, 3.848521298725623*^9}}, CellLabel->"In[3]:=", CellID->73391449], Cell[BoxData[ GraphicsBox[ {Opacity[1], EdgeForm[Opacity[ NCache[ Rational[1, 5], 0.2]]], Specularity[ GrayLevel[1], 20], {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.857359, 0.131106, 0.132128], { BezierCurveBox[CompressedData[" 1:eJwVWXlcjN8XHrRZvopCkgyiUAlFJZ1BlERJEZK0kAplK7RMhCSEkNZRIZQW SRtnSrvSVFNN+0zNNGszURTC7/39M/N55tx73/uee895nuczi91PO3hNJpFI MuLj/99yv7fv8P8tQ8nIn5nW9ziQfj1o9/CoDGkTyzK2HqyAONv4FOd3MrTd q/Pi6qtBcLGuEhvdliG9zCrFfLQfnT/IHjAPynA4nbdB7xIfvN3s8IypDIN2 uk52OtmOJHaI5toNMlR/+vhnb1A3KNXsKvP6JcXCX5bLJAoD2F07aW7asBS9 j0cp3DaWoLXry03GUikKrux3F0bwQe7G3BPufClmaJy1m0A+aMeX4dJGKVIb t/D8s/LQ8Lmy4bsiKVrvZyZ2NzBQO3A+k5QqRZNNX10zu0XA7rk/eWaKFNVP W541nd+KmtOr9yWck6J98PWx5R/7wK1wrsjykBQpfw/e31HBBNLgzVVWFOL5 anF/f4jFkDHrmtbLNVJk18SVfi0UQtDbsjiethRZGaFKRnsE6DceWVemKsVS xYjOa5dkQFPOLrn+ZQjT8zwK58wXgxr78Kv/Pg8had+18Ng/NZihGq6T+mAI KVB57dKpEhg13L0gNHII3fbL+2/sqAO9t2lrLp4dQpdLXW/2ePLB8PEhJm/v EArafcd272NC0I0P085ZDyH5ar2j0Vk6CH6hdf9GYr6t+9O2jW0Y1LJ0hubq IbQWix7axTeDtvo4fZn2EJqYVYcVzO5HE8rPGHutITTaxpFtWCRA2sb8Nz2z ifnX9ko2yjpQV15ltXeXBGtm2Ak+LGxG8xX0hb+bJOjvmH6Lsq0J466e3S+f KUHD/9Jua3RWYeS/DZ+fvZJg3GuVEqktG9yUY3tCkyTYHff6SO8AD+MmNOOV QyVo8s6zRJnBgZqmHD0nXwmqGSZfKlXhgz3N1WA3gVVir82KCWsD9bq5tR9n SjD9QOCo7YgY1WdvYGUoSNBv4uD2bB8xUDj75H3+iZGkFHy1dPNbYDkP/Pfo hxjl5DSelbgL0JuUW1xRKkZ6JBenDJeArQO3pbBEjN51B236goYwf/X98Kx0 MVLkfLNoOhXo2Fvdm0pgQ5Or6s6FMswonvrePViMOT4W+0t/loPj+sz5Tw+I 0XKJxYHL06RQse8/Hdk2Yr2rC37s/9iLajMXkJLXi7Fw5cpToTndWHjr1i5l IzE6Lht9EX5cgEbHz7W1TRZj5Ilt25sfcmEG+SDzRp8Izzne3faBuD/2k/SX p18SoaH3z6DxQDborjxhEuwmQvKpxoynS0QYUXnjVPkREXbLVTfEsqQoke9O /WUmwhnH/E1/PpdgBPbPCjMQYcxltSItpwHQyy9xf7NIhJ7kEvsVq0Wg9ua0 Zd48EdLLNxoY/yfGmOgCgzNzREjKKeuPieoDTYufZ3L+CnF4naPSamEvnttz PCa6UYhsz5vXLi5owdEM3zlJV4Sorr/xWcJPNnBbPmt/OynEc/shd5PTAMbu qr/KOSxErtwGifA8F9nfWL6LlwuRIuLMnm1ShrZ7ugdXtQpQxS/qhfxQM6br G0x/Rhdgzqr3j+vILKRddJnlmS9AypVJES/7atFNmli8+JUA6Se4/VM0O0Aw IduUlyZAwbm/54oXEPVbH5fqelmASnpaBwP7++DcrCeKkacEONFyJHNcxMec pYvIv50FaGjs6OhFpYNR69TV2mYCjDGXhM3TawHbHMMjrLUCLLRUkAS+7YGM tifFZAMBkp6XbLkwPQ4ZjzS+ZKwUYKLTniVtV8RANpvjZkJg+pqsuIyiEqg5 vY7+d4UAI+vyc56uY0H3GbWZNZoCdHtrTF++mwNBdYMsp6nEftBT+fFmEars VMvcNM7H8Q21nE+pTeA4r8TtAYeP7KXnd7Y+HADNWyv21/TxMfHL2OGhQi4a pcusExr56E99yL1p2AHaSeH5adV8DDL2lkwY84Bef/2qegUfyYYPPGsiSzHY oWzSj/d8TIflW1b9FmP+AWq3exYfWTo3vavvDCCFPuuhawYR384Iu2ssBsmI U/oXFz7Stzv6fLDuhIir5xx4W/ho8tDkj+lYP3gLnSevmMPH4Y6xVfu1mkAz MilLVY2PpPj1gvC1iGovtd6fm8FHb4Wtbia3JHju4VM0IxFxuTe/wlMFkH/L G9c0DyLry+7uA9s6kZRsdn+8dBBVPlvoj2QK0dA+nRORNYgua7/mdHX0Y2xf mag1chAph68MPDmKSAbTDS88B7HGuepXjjMTEgdW1KvYD6Ja9sLOMySCl0zn OwfYDiLt0MroaJ4EjNIsWzUtB1F9p84b92NsyEhKPvhv8yBqdnkFmsZzkcab /81SbxBJV4/fXzshQfYVvmKmziA6H7ql/HWRDEonlEey5QbRPnzK3Kqjjej2 L1bmM2kQhz8pjpQcqoN68v7w4+08zKnWDL9Z0Q3cSypuKyt4RD/vENgsz8RI 5RMPPxUTWHe74wjdEa1VlezpRTyssIp83lYsAkHd8uVa8UT8dkXn5vw85JZb bNx7j4fOjscCP54TgO6Rd+96bvGQ0rNnw5x/TeAtnrzePISHkfT7H8N0eFjY nJ+d6cFDsmLKrMKgaowbCn+le4iH3nranXNMGMhSX7S/dAkxfq7qku95bDQc 190wsIiHmfxq1YBjbKygP7Q7pMlDk2df5U11+5CcFFifzOOi9xbtdS2POeim 3+36tZ6L468bWq7nsHB8/bvE0FouRlfOt8v6KsZuXLm97SORx+/ndD1/i9Do IkVVt5SL5PRrTnJRMjAq01lklcnFGNsz2JBahhGJLw12vuCi+rqEqEkzWtCv cXz/5EQunvugPt6wQYxuwsizrTe4xPsuKHiyUYjp+2OjpoZzkXll77drHzg4 4ROx1DGMi6SQJWr+FQNgyGr0bArkogmVWussbQfb0D0Xpp7jYuz5vXm6ZzjA WpstN9WZi87Usvi4YCEyxj1FwzZczO+a1n2ziA16AbPjlm3nomDc+WOUJg8q 1qgU7FfnYqa9wpxjehJkzX4aM3kmF4fTRnJ4bWKw9MwuoE4m9q83Z7xocRcE vdF4ZfJnAJXc0g07VHpgRsS3JfGSAfRv7mDccSHqk9ezq7pnAN16H13hb/sE NT5elMTKAaRtebGUZMbE6H8BaefKB5A+LVx3eeAnrBFo3LqeOIB6pTV9v1uk kPh7UdybhwPoSVFzqokXA9OZeXkslnhe1z4Jdsiw+6WBY9CFAbQ/q+S0eVYz qP3u5GkdHMCafY8abz8TgMs3vZdapsR6DVVi7RccjGBa/wqaSdT9yjNa5d69 wDaWvguYRuynLiQ93qID2csdaF//X3dZzHsfQjlY+GKSakV9Pwpe/Hc1dYAB kfGmhlVv+zH65C33x+ZDUCPe56Kf0o/U7vtzXwsGwHPR+JboZAI/TFB06X8K Ev6MDT5n+7HbHj9014jANstjxPY0sb5u4aEvTVz0lMX/qXMgxj9hqrVm1oIt 5+j850b9xD6M5aa/qEXttFYfU71+dDsaY1WmWoImr09rWi3rR5L3nh2XGhmg fXpk1mglByNb/rRQtrIgyOajuyOBbTdZ7Vy1WojOJmvmnPnIQWf5Pa6uJC6U euTl3U/lYOlj53cJLwkecw40TjlE3PODpyuP6bGh5slY5ub9HKQGcOpXtfDA 8fLSsS/zOWj4L//nljMDyCiw6npI1JGJzp07nSc6wTztj2pKDhtp6+Pk4o93 QWbrjs6DT9lo3WS81Ce4D/TOPfSojGIj682hI3squ0DtmVzmvEgC355T1WHE Qsen5K2zfdiYETRl5y5/FhieL5qsdYSNdG5mgE9pGkwot+tWuLDRf84R/eRF A+CoaqcetJWNDOdv3V7PakG3oDX+z0ZiPeZyCWm9BIfjb3iPEDjj5OAh0xg2 On7hxezZwEbbQaMu6ZgY9HIWROsvZ6NE52d/0fYhjMlfof7oax+6ac3wMlsv QP815hY3BH3IiqcfuH69D9SvSZfc7Cb6wn6fSunWHFSa+WKrW1ofZpy4V6yz lsj7rz23lf37UNPHK+H8WkL3bL3Y+nJbH6p/H+778GQAaq7zXzpM7cPhGE8M Dq0D57pSinVdL3rrBPK2rukA1mC8VtaHXqzZ4f17o3o/Bl1oEPdH9BL14xXt 09EA1EAHsdzJXoxMujTCVpShbrlk5btlvahS9z3CQZmFhf/CKo17e5B0YvWI WD4Vg3TdIh9ADzruUyv4IxQR9/rv420bejBTuzWstV6AbPelmz0l3Wi+lWM6 8/sQZJQsOLYpqxv9Z7dRwgzaoOate9qRhG4k3/JrcGgrh8i4an2yTzfantMN WraUAzQ0jmw40o05r1NYT+7ykG120e+GSzeec7fzPuYuBMNvLoUjZt04QU7w gHEJUF8e3xvK6kJqz1yb00+J+KqWNd9bujCmsch8UYAUIiPUcoovdyH5RHAL /H6LMWYSs4X+BJ4evrJkexWoX55bI3bpwpy3Vuyd7kSeLsg7dq3owu4jAeGe zQJQCVHy9FHvQnsbtfb7NmWost72a7YKMf+TxeCH56Vo/917eM5EJ6qY7vaR Xvi/3t4gtsghcMxovzVHBvSyewE6Twkezo/c25vxAJwP9ZiGBXYiLa/VrjVk COzpnir5pzrR3vlt0qtL3RiXmjIqWU5gbnKt4Y9+CPppcLRZgxgvd4rTofkB vbUC9n5X6ETGGv3Nbo2VKNg18nZDQAfaXzrWNXN1Mwax4r2ezOnAaK8jl0+4 s9G533F9i1IHugXHfB0q7cG4FM6Eoi8LjQRmi11jhMC6Nihfa8ZC+kqL2zlV HWjSNT3p9AYWUr2DLbntxRi5yf6HMYFV9O95XMN+9P+W5n5xEQu9GXGvXnYx IU41NyVcg4X2jX/LPKsIPbc2taiKuDekjE3XG+xCQV3UIroqT6xnuOLBSUK3 ZOwxdDT8147sshVHKa4StFc1SszltCPt8ZDN9cVCoBdZFE+ubkc3rlFXO/KA pBu2JCWyHQtrXXLVFJrAX7bM/GFQO47+2dsTvYoPhb4yrrJ8O8Zxdm87194L ZFe+mmpcG1Lqv0gLTtUhw2NRht2tNjRJkJjUTOmEmD/ap9y12pA0bpUvrc9C 6s+LmWc/t6J9a8BGF28+0OgSt4wdrei3d1HMpAN8oPhYRXhYtCLTyyHkZoKM 8Hs3PAJ1WlE3YUtin0YXukW0eEoXtiLVXZJENpCC7qN3+kYEzjnPXb5JyAMq 70X6AgkTE6v2Tyv72Y81my/uvSZkYs1Cn5l+xH0enqx892MnE4Nmvd6WurEf lTwvjZXGMNFtU56f6mnCh5ACEjbPZ+KwoWB7+0GCP+am8FnqTMxQEe2f7D6I cZeHraqnMdG/KWrkT0IbeLfPTf873IL2Ny0PzXzeAcMreoXOaS1IUWp7eezo G8go/qI++WkL0ptnXbcLYgOp42T3nWVE/Hj13KEP5UjrfK/yi/AdlraagVbX +zEjbdPSHfNa0DxbXTWN4H3dmZtalsxqQXL4/k2OzYSPqwuttWE2I/fdhydJ B0TobJHWvbW4Gc+lrSwkPRIhuyHN705WM6rzlx19WTkA1InieF/rZqRN2/LP 7Wwpmmxv+f1vUzM65hZtVPDmAD3v9u8sThPqKuatC7nMAUbB6ZWKrU0Y3Hqg 4KajDExeBL7hZzeh4UHx1OemIvDWE5Z5PW3CcwENrz+MCCGmQf6mMKwJaxJU L7d87UCS8mDfg0PEesrlJpuTeoHxfUvP9eVNyC54KX+eqE8lX7Lw8IwmjH06 z2CWPOGD/Lf21bEZWC8Qn2bxiPV+vY07WsdAtu3Os5olVWA9tzG38ggDMy/Q /haqi5ClO+PR6f0MVNO+d3qkWAbU0d0z3I43Iok3+ckLUSXG6G32k2xtRHuT 9FnpV8VgWJbx3Dr9C5Ju/lpdZlmJ9HS7RbMFDUgaOZPW8q8OqS733r3IaUDn nVnJbCeClyo9FbRuN2CQsEOdm90LdAPhwax1xPh38Pz2tBwg9e0bS/pbj8Or H005tUgK9sJF8mt76jHj2bBp2Ddi3/O4hRqd9ch8q/VKQcADMj94+IpSPdGv L+UuvTQI9JNTpg1QPyPlUGiKjU8JUv5cbJ8Z8BmpjkYHjZ8QvnTNVSPpwc+o 2Xf27Li/BNyOnvC6GVuHscHrtBz8Cb7uK8kL0a9D0jr552+ibqD948XyV/7V YlDdtxVMYxHQtWb/c35bQ/gQWov5p34cJlWd7u+txhp20OuhFR3oX3R3YH91 NapMWXdzC68JSPM4r/deq0aavP6h2SuqgPwzy7hLhcDZSafCqe2osviiV/fn KiyV+S4yqBIjfSLd+HtqFdL93cU/PF5DzFSbz/vOV6FEOeHyoQ4pkNKvVlQa VSHZasHphUociClbve7p/7FcxyNfTcL/Fs+i5RLnpHlG67yslug/4FN2oJg4 N5fKzhda7TD8y7Ck92klMioZSpOmNiHd1lbOZl8lmvc88t1hPYTDc2if7PZW osqT8+6rSdWgMjnvweoFlWjJOlU56QYXYpxzNh77UYFuAq+wzuhaiGFSE77w K9A+x29h9GAvssW1AdftPqHbzrn/7L/WIPWkroGdxSeMszj1vpElQbLxKf55 g09YEWDyzZohwmF+3PfM+nIk3UnpnOJ6E3IcxhZy68rRRGuy/xcRwTM6SqOh meUYpEy3TnxD+FwNhQM6M8vRcer8/ReEhI/uimnjTCvH0p3qXnNdh5BR/1/K rpQyHJb3OHOS2YIxhiPjHofLsD7M7cEcigAMfTYXlxmWodukyL+OrC9IX/he b3gWHSXXLP01HkrAn5GWmKVC4IAUhVQUAXup66/jjoieGgtuHjopAXLmk/nX oz4Q/K1423hkCGm5KSZ7CB6LPOn4XS6KA6Roiuq/kFKMOJy6ZdvfIaSfde/5 72UJRl4P9TzJaUPqgdQdSv4laG0mu1E2QejGnYqHZmcUI11wW5gd0AiUl59P fewowuH2zk/bmRwgv8t3ksQXIv39hrIrNxvQzYX37cz5QqRN32xa1/cJ2DZL JpmvLES9DazYuHEBkurc01cJ3mMQ+WnC3IN8oN76ywhlFmDcYbHDITrR37LC LDR8CnB44y7TRwcIn+ExIRzd/g7ry3UzPW0HgVYUlMYZzUfnOeui6aoEX3yZ 7aC8PZ+o49dNK+gZ6Dam7CiX+RYZ7crn5dsqwS1wSesC8luM5v+ZbPWIB24B xwJShblolL/kU9ViAbDnL/olvyUXnXsufni+g7ifFlNTestykH14gPeE1o2U yYbGr+vfID1TO/0/HRpSoncYOcVnoeGJ7qtFD4jzf7tP2mqQhczb6lkhXTyg KNjbVxpkYk6TNHNVSCOQPu6+V1T3Esl+7+yvmnQDNSdkceixDKQ7Rr0rupCN FOU7e/+ceobsgZBp7svfI+VGdJpw1jP0txhzvy9oBnqAj76hcjp6dp2Jm9M6 iNQZvbXfxtIwY9RB1Fo6BJQbLKeH35+i7of2a9tLCN8/fKbXg/uU8NG/3MQZ RL7FBxhShRQ0dznwefY9CZJuXU7c55CE5mcvPNBvlgCphrLSwToJ46y1Mgvt e4FqEETTjXiEJjfOfpqm2wOksNnft5o8wvGeP8OBqv1A2jm6aUXyA8x4Tf06 u5KBpK2l8buj7mOm0e3bVzSI9TKi914k3Uf2SudJF52/AGm6pV1jcQzG/dj2 a1Z1H5B+vM3JtbiD1sl9rS3biH7RqXtdwyMEmTtXpFTdFBH9Y0iH9vAEmuSp rV28hwEkt/cnA7q9oGK/1drtp4nxp4699+oJANLi6VNI+pHE/pPPmhVRwTB+ 9p3VNkRfHA3C9+5XgexofsE2n8hHj7PGi74oyLS5W9ityAZqBUuHo/cQTAry NsbuIerhbOSmow4PwVYhy/RkCcEnxro/r39OANJlh7Bpt4RIzUgJLMtNBn+d AAWnfVwgSfOj7n9IA1KF/PE7iU1IsVE81eCTDrQfulP85nwGOlMyljbjOcT5 zFnDMybqx/mm3Cqnl0B/tEOytAWRVJ/4fb38a/DMvh6Xdq8fKPqXIw9avYZh MZWxwqWe0NUyx3UZmRBsuSJ0sQnxvNqpTusXZoFtrGIO9aYIKbBjz8532WB/ u771GV0GtH1dgWnKuZDIz6vM3kz4gc/xXtsickG9b9otJwEPKdotlv60XEhH pm3lKyFQC8XkR9Z5ULM9xNSpgoFuuUmUF9Q8kHsc+yKaPwhuHzKbyve8A9Jm /vyqkHB0y3x07HzLOxhtzbiWOImNbjsWk3TfvoeYKZsmO40JkaJ+Nn6jaREw ai+ErA6gIzt5Z95lcQn4z5nRo9BcjXSkMfg7SsHo7byxxPNDBD8664DKB3Db aQcO0EvooGUecfc+wHDFLtKf7wQ/P2A9FpIQYt41vMs6wECaXitTpIVAlwhK Oi/ngds4ba6/OR0MnRQPB7k2IeP13sMSCzqomHWtepzKAxXu9MHWM3Q411L7 LjFkEOwlF3knwulAGmUvPOtwDEntDJqDdRmYuJqKpqW1Al32u+RaTxnERZ89 fEV1EEh5U78+CigHipl4atHDXIhRcF+qG1QOtOwd90+aE7+X3d3DeVwO1E/x D9iscmAUT13aFlcOejM/OP9WFQN7xa17TwrKITGPWbltgMjXV/lbJxvLgX5r 0PLCklSIuTnGXjVcDsx/BVfkRvuR1qNDaVr6Cep/3aTciZMgLetQ9sPbn8Cl 6E5CzsFBoFT50iIFn8Avb7bOYzNC356rkfuZVgGsKzrvAz4xwY1fxbEwqISY Rv5prsIg5nDXTc62rYS4Ni/9951dYC8b9WT9rgSTyQqqtHYR2r+et/b0tyoI Uly5VdQmBfLnPWGdv6qA2ve0xH450YdW3M0+PqcarIeSqs2Gmcie0rk4aHU1 DJeyAwp2lIGKj0G+dHc1xHRbXNG+ycXhzC3bX56qBtajsIfZsU2gojmnl/um GmypzXurKYT+DNY9ObKnBiL3pQrm3iXeZ8lYwzOPGmDsjd0dZFaFw7EZuqK7 tZC+0128ykoKKjXyIw4/ayGYcX/TqwE20NaE7u3Sr4OYhT36R48Tekr/kuwi tQ4ouyMm7WW+Q/LW8PGY2DoonDZBf3m/Fcj9hh+EmUQ8Mvjs57NEfra47Chd /hlIiU+rrsgRfvVtjW/dic9g9Nq33uOZDGkuhzISBon4pnH7tVdjMSfCkd/h Ug9sofsWza0cZIz3fOj6UQ8kByVa6hmC5zZIkvkT9UAt64rKT4qFHCsrkpFq A/if8hNWnGTDsNFFcdHCBhgOeTJt9nrC15+4s/rn6gbwS9mYDES+KZ+ZhSG7 GiBmrGHT5njCx7y6wWEyGoBt/iTfoLQcyYH6pH8tDZA4L/zmiWQ+MtKO+VCn fQH6scXDJ34RPve08HC0wRdg2YxeW8BtgRiZTs31a18gw2LZ3bivbUCe7DNS rkzwjoWrr0avCFTUtdvv6DeCiZPRQ8eeZlSpPrBgyKgR/HjBvLPBYqD/S7Zc E9sImvpz217OYyNjc16gSkojRDs5Pr4UKELGlI1DSQONwGjNDopzrUb7TSbT Xow1gmXFMPP+TA4KFD8WaMgzgHL73N8z6/JRwGhYJJrBgBra42Ub0jrRLea1 Ymw+A+z3jKg+esUA8lrzqUkdDCgcWXn0/LxOUNL77n96lAHdMzJcV88ZBJNt 69nZ04l79CNDe2p2BQT9rZ7epd0EStSLd3b8xwddLfdtDVuJeJvCmXebWkA9 /XFBwdEmcI4II2XpszFHqmiwLrcJIo4lVzU/lyFrqwPT6F0TkFmRs64H1uCw mbWC2LoZGHOVtjjad6PJt/n6Hp7NoO19O8JgFw+tnU/vyj7ZDCqbrCet8WBA hs/hP3CNGH8gLcBJjbg/f7W1qLnNYFjOuPNmFQedTy2xMihthrgUjfhnPTJ0 m3eveva3ZqA+PFZSQBGDf8n62aZOLVDxee9ZeSU+Gh4Se4BXC7hNUZ738jcd Mq6GHvsb0wKSEeH3rHHCr/x4+kv5JXGuI4o07wOfgbXyfk6rIZPgs8dbnv5X D9avgrnXi5kwmrq7Wf+hAOihIxq+jUxI3H3l45pDXKB2aUZbipjA8DpPqbAR oXprSnKWUiu4Ka7ITL5TgeS7S9xt9FqBNOl7wsgRwteRa3fHQyvkyN+e+kf3 //rRSPutVyvo3oh/WDUuQtJ9usmS862gPd5677kOsT7XZdbiyFYYbokvS1/R ikH6JQudHrcC9YipvMHBbPCvpx9iPmkFWqFZvpNNFar4U9LkM4k+SwvsebS+ GCiLZEbBs9rATYoqcSfqUTd0eNmy7W0gwA2GHjbtQEtRubXPvQ0i+B6+Oz4R fD0un9tBJ+71bOFvnYQCVG8Z9REz2oDKCbvE+sOD4d1zQ+kdbTC8epXp/jQh qKyqzd2q0Q7qqfvar93loIpJ5XDzgXZw6z268pdxLtj33eaHRrcTfd6xw2re ZayxthY3pLSD4XevaOATflBmUTAx3k7owhdkgxAmGh71vFI/lwVuRaqiJetq wN4mR23+ERYoSbac1vjCR6WoxXE7fFngvCb4dcc3MdrvvHjQM4wFwXG5QqfQ AWBd8iJdU+0Ae5GrjVqaDJxdt/5SXNgB/pRd27LUiTrVv50Vv7UDChWSvLj/ tUKMfn/nCIFn/KoM2rNaCM4bi3fnNHVAjOvj3HYnoo8ybQLtpxF1Yyq8UeBA zJunLRds1glB0yz1dstJQKXPqE99cyew9qWHcXTYoBtbxly9rRPcCqTTfs/v ABpl2fXFOzohw2XBbfLiIYiZ0/vkcWAnsM/DOjnPLqCXD/4xoXdCcPj0bUob Oeh2TSVVICLmy+p0i49JUTd16V3b+V2govBo19LgalRqynt9yawLNGeG9fqf EqG1ofHdomNdEHNqe8Hxs3XAss1U8KZ2gXqEid/cda1ILxpezP/cBYXLg7+n MgaQvE7VwZTVBSzzt9vUF3OBJhY+m8rtAs/C6ESyKhfJheWvisy7ISdPxc6Y LST4MdB+RkE3qJhH9lnVNSMjeppdpYDQ1dFpWnvjkoDilDymNdYNMc9nb6IW 18D4s/694ZN6gEWY5o0gQ8pYqpXG3h4QKHZuj94yhDlLztrc8SB0brRxcMCS YKBodjO6L/XCsHmH2a9tPaj+JmnI5nYvMAM3y+/5Tfil9y5rXsT1QoZgf/er azwodMqJtn7WC5G7B/7cC+KidfgyX6P8XtDNIVlddxiCSI5BxST5PrCPts4P 39KKpM+c4ZJ5fVDzwa/OZozwq+uvfX+kQehi5ZxBmkcpUDf3PjPQ6gNBWkCD kYMEI2nhpoXr+4hxel6Nj/qBEZdEt2juA5OL4S1NVzoxZofO8SOL2UBKsLYz TST4PQknHXFmg6GhtWPPMg4EFexdGuvKBpOmbhOPZVJUsm/Ocz9FjB/zu+ER lozs9wcli+6wIYOsO9Srz0W/ct/fXQlE3WX5lj9a/QBIvr+fz/rIBm7ishM/ OzigJo6Kv9xEzBd3zb0y/S5OcP0t46VsKBT2/DeW1Qe2laV+CTI2kJ+ELL/7 uwkmNFb41ltyIDNlQl//DxuYV6w+fT/MAUr9P3UtTi1QD0jPFVE5QDu1VS0q eADVX6qRPj8l8PuKdJUXMswPIT8rTuMAU0pWlL4kzsuJWpX3jgOj25N87lr1 o/bgm92VLA5kmN5Oo7d0IdUuef7cbuK9dzJezpAfAP/JB/rSxoj1Lq37W5BQ B/kJluyPv/7/v/Wu5eFrmsCoaJau4j8iHnqRqdHFxwiH/qIPq4g8u958f1Gh H7h1U558NOsn+OzH5KVvWtDR+mXcWot+qFg+L6ytWoYmz2nVjnH9oGS1Sunx nHYke14IrOshfJJbQuG+xkNAWxDktGewH9w0S/uKXg2h7Rq5riMj/eB/aGbc eLkM8v8uXaasMQAks6Zlv6chjLozl4VaD0C0S7zJ1h4eGCU/LBu3HQBr+e0j B493gOdcvpXEjtBVT/qcv/eXoET3Z1X8ngGgf07OOxTPBPN/B0c/OhN9Z9SW ZpTaB93fj/BrCdxNC7VUpgrA7dEJiYn7AAgaF/jXqTSj85R/pF+eA2B+x0VD xViMcfU5A8siifjzgr+BAf1o27WcHZUxAPWDlf22q/txRsWHKyfmcoFcwmeu 08tH75tLV7uuIXhBBiBJ6ELH5l9hWhQuxDbuPvrafAhs/daah5zmgvW3LFYf i1i3Yv7sH9e4wKWuSdSL7kfzNTH37fO4QFmX71z0MQf8m/rvytOJuog8nq1s 3wT+pKKOk1VcUGF8sfldWwPqLvujPrG54O9YEJE4IkY5ctDKYiEX4jRyV1Vt FQPNa8en4hk8YJX4O6duaQO1W9OupC3jgb2O8UhTg4g4v6l9nj48yFS1N5Ax hyBdNXqGehaP4L+PA1RaNVp7ZibteceD7szAEPNnRD/n35Dr5vBghjtz/tNZ /eA97Po8X5HwCdOl1s+12yHY585sTcNBiJla6vxCxIGK02c9/dYPQk1xWdNK 6w4Y/Z6t9WTjILAfz/nywPcjML7I3XC3HATP1PdgpM5DuW+XuNfdB0Fi+5Zz eFo/ssuPVtw4NgiCkUPKJUtFqKTTe3qa3yD4J/KMFN5XotGwNLj48iCMJ9W8 7tstg0xJtaA+fBAYk688mZtaCZEf31qEJQ/CqFzUSncm4YfqlJLXFg6C9rWQ e7UzhaCppXbZsW4QEjez9Kb946BufeyrLwQm/UnP/3ziOsj9qQw80TcI+dFD 8/64C0Fw93rIPPYgaDocFTYqCYFWsLj1B4FJwwKv7cXJ4Pi5SfaROwj1fR6T lBUGUPd1z8eLf4n41ash9ha9RP1kbhLN54PK4omDX+4R+j5dYeC5Fp/QzenM nWmf0V6mW/xCnw9KwXlri/X46Oyb52m7lsBLHR8torYgaf+7n9nr+DC6Bcm4 VQi6qxRt+nbwIZivoW6yQwqFvkvWnHfig+fGOXWKpwahu1KSPNuPD7Q7nMm8 ei5WnLCYbOTPh/Q7JRd9XwmxMCrDrvgMH0qbHeleyoR/iQhIWB1C4MKHPXGV RF5cH58sfsAHUlze1r7cYMhxgof6sXxQK09QVF7Iw0T9bkZ9Ah8Ya65N7dUs A5rH+c3lKXygFt9eqlbwFD15r+I4nXxgLcpOjiJ0nqb/loioPj7Qi6VxuV0N qNSb8tT5G5GPpljtHU6NENR8HNdPFYDK/Kiv89awwfH9CudN8wQQ6d2yR7ZD hLobkam6QAD+FcH3P83nQubjaZd6FglA/cRCA+ufHcgYq3lYv0pA6KH1lyWv WkA3KV7lsKkAaMwXD2bxWsC+1yAu0VcAhT2Le1fFd6PRSHNcb5AAnG3e/zKw bcGcuiW3vj4XgKDkuPWMmf2oPhRo+bNIAPkzlN/Un+eA83PFPyoNAvB8fj0m Yo0QgmbPHAjuEoDh/TsBzPltMGNAy8r2qwBcyAcC76YLUKmO1jnyWwCkIBfz qvpmJO+SqGgZEPOOB2bO62SCUZvdhAeBYwb/prqO1AJlv6dPW7AQTIKLYxLP Ev7X5lOB9z0hWHv+y9xytAMsPQ6f+NMgBEsTcopDIxfdlsttWzkgBO1/ZfO+ sTkYBPMtn/OFYO9yi+wYwoKYzp/D5atFoHQMfULc29DR9kpMC4HZexeRye7v UZd8xlvNjPBFNEeL4jmEnlllSR2zE4Gz/OL+qdlE39frnZK3RwR0h8VOjzUE aLTF2YFxUASOT8Z2HJvLActsvy3T3UWQ471kX8XlOvDfOe654Z4ISOvC/+1n vkX6uEh4IFkEhcYhtEMpxH0/3XF8MF0ElKj6weLSzxD7qWyEWi4Ct/Dw7Ydt JDhx0LwmUp7wYWATckInDahU3VdzpouBecHg6ZdhNsZ2N1xLnSWG4bcd+7aM tmB04bo//80Wg0vdvJ1vD8hQZcrGg2nzxUCtfs7KUkzEdHNfFzszMajrLnGQ kHg4Ma8tbaWlGPIVSqWWOVxwW7pzKPykGEhqr5onPLtx9Ajfc+gUMX+mitwH WybUZyjkbckRA9ukdOrc6gJ0zlvn4oxEPFe02079OUpaTkVc/ETsNy7Gdep9 Pmp/26Y3SmBu9TZhKNE30xd1fePUisH66tFQnWt96DzgfMV8gPA1Zk7ZP1IZ IKfzrIskEYPtRlVXzTARGhqU1abIiPjDdX4twAZt46KaAVUJUMMrJ01VJd7T oj+TpUX4EnLCRdaKbsLHao9mLZPAxP2YvjHfQZTbNu4n2SYB55ax3e0TYnC0 UTWU2y2B6PFP72/7ScA690fh3SMSyMmf0q4l34JyhvfT8YkE1FetmNK/pZ3w awLrzTnEuL6c6ucviXPT3uO69IsESBPNSkoajaB9aXj57hYJ2DbOfxG2jej/ tikbGpkSSLxTu6nxAQdKsxY8WPtDAvbf50XVx1cgZcXJxx8IXU2KuJEZsSgd M2Nml/evGQK3FYZqJZ25SJ7Z03th/xBkzlebkVMmQslZ8tmtwcR4+f3GaX2R SFmQ7GUQPgQRN8un7g4keGvb0cqQ6CGoP9OC1CjiPrCp4UnJQ+BNFrTbdbBA Im8j1f44ROR/doe84hDkzKiRUcuHQKXWm2vK78O4jvWtDwie82voOzTzFQ/O jYpe8qVDoL5dI8n/cQdoxmTdrPw7BC7zN6smi3kQ3Fe/+rSCFEibcEVhyQck r3pU932RFLihNTkH7fsJP0zbbr1UChPfhnJe7SL67A+TiegVUlD68X7zlgNM iLALjighMElh68GTNm8xSPnv3WwTAlv5PHhm3wf51YvJ9E1SqPimm/jTXogm OrrmufZSMBlMrzOzlaKj78VmD0cpuGmf/kb/RviF6ctNXQOlIDk/6/noXyFS EyKy/wuTEvqpYMz0VBuUHl9d8veaFPyuVs3pOy3GoDMi8XikFCgWkslrG1qx PmqH/LJkKZxzXPg3+KQAWJ5Vb8JqpKA3/VB6nX0/UjYVD1t+kQL57wZGk1kH nHtU18WfkALj96P77CNVcM66Tr7vrxQMa1fQta9IkeX3/L3GDBlQI6zD5j3o wonpyanlc2QwvJi3szWtHZ2fjvQe9JGBkgafwTbtxEi7md2/b8ggdiopTz6Q 0AGzFCMMb8tAfcN4buZoJ9SIW+vmpsqAZeD3N+pFK2rWZii9IDDzNHVc/7YQ tUeVtrk+k4Ge2Cq0crUQgzZd2rC4VAYMfpBoKJUJKjltRr6fZaCi8TeyY4cY 6jO1k1/3yIA2Y8zux186/A9e0SMR "]]}}, { RGBColor[0.857359, 0.131106, 0.132128], { BezierCurveBox[CompressedData[" 1:eJwVl3c81e8bxiWFEFoUWWmojIaM5EaUhCRFyUhJXyqbhsysqCQkm8yo7K3b 3tsxj3E4x3Ec+6ShpJ/fP8/nn+eP+/O87uu63peoha2+JTMTE1PS+vH/r56h 1qeXJVW46HjVnFj2DYrFzXiW2SdhkPyK6VIqDX7evkEpe94HxSM2x9KV5sE7 iPGa/3wPHs+5++HV6jLoT2n8sNf5DnEby5i/uPeD4Yjgrc0npyC8PKT56wgV flmmNu2wGoBwoQcdM4fnYIwr39NyPwO27HfLMvcYBduO0JKrX7LxsOxBH99P DBA7LPznoR0DmA47TRXnjoArf7p07toShHmuJi/rjIJ+uGBbRtoEbO7Tt6eT aaBzvf2jc3onaBXsDNZumgf9Un6eOw/HQMlZ+D8xazq0SK906Z5ehL0TZWq3 0kig2Hb13C/uZaB89JcJvDMAiqui3jpBVPDSLNgpcoUKPoq9KU5nJiGcmqqQ wTsFO1aeMCq1krDspkAP+/ocQtPfCmZ6B4CNiSe5T2wW/l1N5NjpyYBU7tN+ nWNE+OsZcC05YhnU8gbXLlr3we1CSjJ7fQ/U5wUaKZ+dg12BU2yHjMfgx91N 79oapuGo741zDJYO1OIIsf8d9Q1cq4RlZuTfAuVnUrGm5BJYVh33anBNw0i/ 8UDDd0sgrdtQl2LJgBfesdQQv0GoeHYwnMV+Anre2rC7X5qCEkc7m17jZXB3 Fi3SpRDghzDxQ/nCN7h7oE3wfn0v0DKHRqVKW2FlYWuaeuUcpL5yu0KIWwbm dy8T9goSYGRVSbHpEB30L9s93Bg9Ac6XyLZ/iheBh1uqkSN3GK5v6yXbb1gC dcluYdaPRDD8s+1uw5kJKBJOyCB3U0HRIGxn2vN5cPPbPl/73xgcXH2APNnL sMP5lsO1nG5wXra8yNaUjwFasieYtJZAsk/N32gvHeRuvLMwGRmH+/hmo0rt FNiwybtrbifDwNRovVc2A7wbTkrZrM+P2y/vqXDsBLnUimcdyTMQO6D8be0F FVzMl6ouaZBByubmaNxrBiTFtH5VfNkL0d+ee8df7IGJD/lR3+7RobjoEP9h Gxr8Pfp3kVYxDlmdSo9/SM1CFGsw/we+MRjlNFvIqpkFtV1/1IL3joJxQ/mD VslOKLWjTy4s0cHEctcOzz9LcNPzuHvc817QDflleKNtAIIVy2333qSBUcfG O5vLZ+BOCvGkHGUUwqoH/UGGBtY5rPEHno2D/pUX74v3dIKIBH/N9690oLWW xTi0LsEvAUnmkvheONElLBvdlAI1pVplKk7zIJfv4jvTkAQ3ij3uzryYhzDN oeoT3jPQrXIosCVlFGK/6t1Svz8Le5TPRBlaj8B+sVbeQN8OqOMo+dFlTIef Wj+kKAKV8JFXdtjg9Sws7e6rNnZan79MdofPwV5w8StzPMlNBOG3Do9fdVDh 1rvCLw+4qGB+z2jZfGgcSi5I+ie6fAPOXfP5Dsc7gZ0qaJ4fvwD32dJXCRcG 4FFNZAjHiQBsM7mnlRU8D7WzclVb+r5BgvmZVoJOG0xcGUyX510CsV3y4ay/ CLDU+bwNFr4i4QFtv8/BRWCJ0vP63vwNZCwWfByjW6Gs9WF9o/Io9A466wae noTXRnlQM9YK/PGJzTcqp8Gi2syZ6taI+iZb5k9kLALzA534PzdboUWm72p7 +DREM6+yzlyrBSmFgiLlRDrsabxIpKpXwLUfhDesFjNwuYK+WcKKBpr64vFX M0ZhKHGk/nnxJDxb7mAJ7yXB2c+9scxSOah55J3C35B5IBe1Rjwd+AIbHove FDowC9uzvJdkcuuhyyvef5GFDgc+DBkm+g5ijJ3uoud5BpQ/XrJ9+WPdJ8bO +le0dsKztOX6qXwG1HILKq+0tYGXnXXBzql+1BgZLGf5tQR7EqtfuvGOYlVc 2Wb3HgYohIevWDsuAkMSUiRaemBJPog1+2UTFoZweRVpLMKG020nrzQxoPW8 kN7Rc60Q/ttA8BqRASGropONQy0QNmFs8qerG7c+BBziWIL5GwZgvKkfJm9w 3WdbmYQX4nLSlbVNUBHMl74nhAaPK9v0tdcGofApyFUmU0B6M+d/X882o5Z1 alzqwAJk/tagLqW2oETS2QvaGxfB95BRuTfbCOSVK2ecfEcGjY8LwyYKs3Dj 9HbNV2r9MFVowqKRTIdHSzp1qmyDoDOY/uf1Lip4an5XElsegXtK+jM8RV0g JpvgbHGfCptebV/h0A1FmdLtQtvrZ4BKD50Xu96CQiytXSlnFkCsbr9jA7Ef jzo9tSNvWYKYo2fSDm1tgTtCt8f2wxSkPiybf77uS22P/asDEyeg20rkbcdc DmYRth7MOTwL43M7ulPp0yAjyDad/rYf+Ne6W8I+9CPla9oJkYb1/Zmcuivx qxl0H53kbO6lAjmapsQf3IldXr4WVPcFcBTYrc+dNAkBzOODR68PQ+sN2zDj cxRYlPMf56KNwAP1jKZjY+1oL63KvXnjAoRuS5K6Mj8O7V9WCgP5SbAQXdz8 YyAPVw7Nlbt0zsABf6LUVBoBqoyild0uUEDZ66SSnM0iUGTOfXq80gp9emft twp9g8VJT7dNYpXwM7lR/vUfEtCv+dNmlUigOp/N9Tl73Y8vHczaGtkM9lYv JoVlyfBVoObssvMI5JgzzQ53k6GwRcHdN3kYTuW+dZS5RMIbMgkqbMFLsPVx /olqpgbsvORsK0CbBWLCB//JHSRwdDnrRVEhQWiQ6ofXClNA9dlz9GdbP3z3 TE0ajScgd+3yUU6hBfjcNppw+VI/xF40Ncq8NwFzewNP32HvQhdh1/kbG9f5 oPNV9OSvVtCuYoLubArImMzPvdswhPsessV97V4AlysstgexA/YVNtv1FZLh wKmemu0XSKg3r73oWLkIjeWcbx3W9VnJvcUp1r8HrJ6UZZl6LkFn40JG0c9y uMXpbxr1vh3swvLXzpuTIZlo87ZKYQBKd5pc60onwYz3f/sdkxch4cTZ6Kby KvBeuZ3ctX0aYhibJy5Id4Niz+vthN2DIOWW9XvLQRJEeb+9fO4AFe4oHO8R kOmFqzFGEefW99o6kalAabEfTJlV1NTlEej1vctXN09CyOCKiGg/Ea1py/KX JBbgU+UtyV2qRBxzBC2FlnnQi2IqUzhKRI+FD9ljhfNwNjH78veeTkyOUHJu TpwBe7kGb8VPfXiRoClpfWgOIl2lW833NoF3euHYFHUCvGovAJ2/CVYiJvL/ xUyA6w7CzpjvY1glWBqHDgvw5+HuVIf/5qF8qcwg7WEV7L60csEDsvGxcfc5 kwwqXHIfSzlVuQSeBsMR+TrxUDvwfpP6TD+yBBmQNsjNQnbNTKuPNAMqj7r0 /9vkBgfsfXcZHaRB9TMLz3c9rRBoRfl4u34R0snq8a5PMuDz7R0cDk97YJXa zO6YPAqBT+rq4m36IULq12yk4TDIgAa5f3USzrhscLh5pRO8flRYXPZbAPNL 05s2uebD98yR/S6GreiepOj1rpcGk9R/Cz8dB2DWNos35hQRCkXbRekmnWBJ UWTq7RmDSI6AWUk3OmRLBVzLuVQHTf2v+J6WU8BiRpGmuKULMj8e1kpMLEXx eQOpdh0q5OfXK09njCO/R1zy0afzkEfn7as0aEP6b8oTJg8aJBwSdFyT7YGZ asVF3fsj0Mg0rmj3axK2ZuSynd/TDjOWieyeLxfALuL2fS7lL/AzK3TZ6nMf iNmWfLHgIIL4SqJBs3cxUuO2ff7XPgl5kmYESzkyfPK9rJfe3QkWj3wDZ3+v 50m+4n2ljhpo5Y5y3ywygGIqdbEWR+gwKc1Grt63BHqKkbVReW9RXFRe79PL amjonHl08gwJZLI2llbvHsRTJCVmrj/TwL/zM1/C9yzs1t37ZDaZDOLWciHl jsMo+KOGub+RDm+y1GSZnGcgpHvdBHvzodS1MUmjsAkPXQUpu7ZJOKUfy66R 1wG2ZpFcSi1DcMF51aI4dBT6GQJfNI53A7/bKUenJyTkdujO9VCdAdGqkOtG Uz3gmBNow7fUDyufBF3jtjTAUfVLzo1Hh6Hbem10A4UMa8XCuUKHG+DZG++0 mBgybi5X0nwUMQtlHub+/9n3gOinicd5x/shYMaHqr1/HszPeJ+0uOeJ/4Rl 54JvUkHm1t0o/XeVoNRHkz5d3gD3Thmzfk4Ygm5p++3Vjk3Imev1z/YWBfZJ vO8t4eyA+rYzuy8bDUC8lpLJnnfzkPBqRf1UaxJGHXsckD+fhs4fLVS9z45D 87Px+cOadLD7VNwn+i0J3DqX3P321aPNnM1nCQsyhAmLuvgVzAPPMcXocyqf 8OVp/euDjXVo7DofFzczATlNCbc0t4yD0pKte7t/A1Cu6ZW+7ZkAzflYXs6Z asizDsh87ViJPC+Cq3jI40D9W6572HVdH/6/czO+lGM4w003UIkOKjd7M5P8 XCGLBfxEqnrxFV9XrOWzSWh+4eKqf3QG9E63dSnyheF8SJBDec0Qzgt0/139 SgWx1YZBYxoVOtNnJNLTPoKbVdF416Fx3HLZrFitgQY5L0/O6HV2YnnTWQ2W YjKsJqUc4b3dhU0m+kY6/WRwWZVoklci4oV5U2G9z1Sw3CJ9hvCOhOef5SYX a9Og+zfJ38hoBip9i3da7UlELfaaWhc7EiZJFuc9PkSD8BkloSKmcaz47wf3 gD0NRCv/eoWkNINi3gkywb8XfgvURYmSmtBJ84/5lMEE/AngrX5Km4Nf4lUa WTLFqPCeeS5n2xiKO7Z56ZOp4CqYU8R6ORHPgqHT5eVh4IvIfZpA70Xm0VzT U5wUeEOtVD3DPoT3UjdS+SQmQdq47VGv2yw8Cs10SnMuROif7+JfHcYs3wDX bPokTAxPdT1dK8HTZv6sV7xGQU08MP9O/jQweXU96c38iGTWV3uqzfJAAsJt Odb7528rVufRDhJQzj7+KfS8FHRudGgybn3FgJ6Ef6SmEbjIbMgW57YAmop3 61b161Hppcqn0PX7IispfgHpBZB/jueTbuAESlu2vL+0cwoWb5mS43na0S2j zXU+lQSCGsOD7eZU3G7q+fmn5DSwiNxl7b47AWypnqHHvTOAi4Prse10J3hX P1fdSG6FlPZR00CFNvyxrN+tLkuCOM2wucN3+oHz4ruglOe10NnndTdu8zqH wOrpzrBm/Pfp6ys3/lkwOPMSI7ZXY+zQoWcBES3A6fEj8C5nOxznssl+YDAA DnapanfHq2BN5YFxjAEV58UamWRkaTBgtuz99Xsvfi518Y5KHYdM/uat/2KL YOtXYqZDajfsaBs+7cAxD79H/mb+UW/BYKXWS0W8c6D44f4Jrpom1M7u1XzP MwRbHmWuxHgWgK0va2xAbTdMr2UTXy1Ug9HNm0+MNudBVNGxU5buXRC+Uh98 LKoO1bxdF1U0h+DNf5GTB7K7kN/x1JO0shFgjt7vwL2BBDw3NvI+b3oBmz7V yVgKZ2OkksmSitF6P+Psucyx2opfxLxrmU8TQY2jZl73+ATwbFcic1xIRNnX YdpqD6gg8tDU2NSjHJPMjlxvUE+CnJyi9MOWXZDtWG8YcYkEldeaPgzx2SL1 MtsR2wdTIGl+aCHoXBWS9hc0bHs6jON7iLp28uMgEaG+q9W0DSoaW8fbQ6rh voH15FfHGejC6ROO4q14UPR8n1UxGSW0reoWhShQe+yJnojuBK5e1LsgujYB hyPqkKhAgWtX/8kqfCjFJ3GSCwHaJLwbNFhbnj4OfSpCe8QGx3CroOezzSbj EEWzWwyzGcMsRkMUu9I4kGddbCsedGI+r/cEX/MgOLQPOW/bR0Ep0QevHCrJ cKFHZ37HbCpGTXKWberrAiEhA0FV7wJ41pm0YZbRBPjmbFwuSyWYkExTz1Dr ITy05UDbUClksRFK/P9rAHg399brXgtKbpUTJW7sB+L1pjm7pFHg+ceoWdZJ Rd3BjSm1uX247fCF7xKjROAI4B+dGpvAndUU7cPUcfit+fBphT8NeSsX1Dr3 T4IbS6+R5e0B9KQdlfzvHxHei5994BBGw8hVfrk6lklY+0uf33iHhpwfTszo TVDAJzh4SfJjETzLevR94n01KDQ4aX93nMJfPL4hf5LIIJ9YWpjoNom0iv5z jJsTQHtxy7+/cxj6pu2SK37movbi7psymhTgCqoLff+kAa82r97jaazEGwGx N0iHOkE9kJH9QpqMamG2fPvLSKDDZKi6QZuIbqm+0kWtQ/Ak97bk66EK2HxS 4JU5pRTi4lVvr/JRMcS4wK9baAJ+fDo+yhEzjBqcl8K1s4fATdThdNWBUTzj xru48zkRQkQOxDLgHVSIx6RcLqqC0hdHTixIdyKV9ewHgZJ1flS8fClIuwbu +Q3sG+H7DBYqjLKTKyOYUHF4zM5rCGRZVns/lsTD55ijtc7JCDNfxuVi1vOX Uzpnhm2+Cj8OtZzsjhnFH9/uTqn9HYRjVtXYxDuIM0eNvhc09EGHzKlOxbIJ 3CSx4XuU1QjM7Jgz/BE2hlu0o+uerA4CX26U+pHQcXRSDTARbySCdrii7bM/ kxjkKOTidoUEK84VO15wT6OML3ss28A4vKvYz9ry3wCEfxqelfWoQFPnFFx9 14MhB7ZU8Cx3QfdfOXECXwcmUWZ/HOPrgBpfWrZfExUl4+TJAdYkAJ7rBhtu BkF1xgXXTTuLwSn2iZtdbjeY9rPfvn8nB51GhweyEhpBs3Ry29xpP0xxM907 /vkrGJ3RO7/VLx5Q2+OR9MN2YCGy2IbwJePx+3s1hG+VIqnajF3LoAZKmlyK /V+2gL6a1DM+10RMq1JMN9w1BWoxZI/RI73YDc4mNpu6kCn4O9cNpnZQXS4r KeocR7KHV9UW30FwTdlQXD09BJ7JfyOGNda1+XOOubYvDSLWR/44lw5fmI8W l4RRQOyeiZCWQg/SlK1LrET6gGK6x9xCowpjGhuGFXI84fXO8gcFZplgzCZx TS6cBnlGHh3c5QOoovPw+E6dKXCTD1H/8LgfqcIVOcU3aTjhsq5DrzH4+Uf5 +4mf0bgr+p9hhU0O0EzpJ3m7x/ECrfF+mFE/vL7Edez8OTrsOqH9PYtMxLJs yavGsQl4QMre2/lmFlSnj26dudmBW9Zea7EU1IN0W+p8k+ZHNI1mMLeXf4b6 0MnBB++nIJj28I2O/iBe+cxvuOvhEBRsad2zV6AFj/7cV21+kYBa40fCuAea Ie0LdxybCQnvufzsnQ7vgQyVyu0e+ZMwdkm86UT0AGq7hH81exQOKrZ9EueX nPCKYkXCB58e6Mm4pW23WIc8VgwdSBrBb/ZbadZ5nfBuN5e108NarJ5uHzH9 lQdssfpDQ+7TeFNwWk7w1jBQI6NGdTtHsSqDfm93bCdQzR8HX9q5zgMqbxaC UjuhZDBh+eamRtyzIm2k+KwAxtckyn5opYIR9kPNvo94KMfYR9GsDD85XXDr eJMIbkUyhEaVSojRjP8d3laKperNjr1t0xDyeTWTtJuECbnRXIv86XBUma5o uZCN7+5dKfVnocNb1Te+216RkD18sLnHuA8U3nrteiPQidnBl57cEKmFexvd UvPYq5HBx/p3mKsB3xY0b55KywDByJXSjvl1vmIeZfbfUAxzJZHnj++i4Ey2 lG3T3m6Q2j1NUF/Xtwy7lRyTbCMcddvxbGz7EFR4z+9N8V3vxTaRN74fIUPw Pr0rHolEdGkiH9s4UAflAfYyzCKN+CJJTXj+3AhEVBX4Vpb0of6ptpda2lVg 3TD2oTayHl/d4lLvOkDF6IRQDfZdPaCQsct+e90EpN01tDuhMYwVWa5F/et8 b07Nr4goew49C4+Nk5PHwf5OSXjgMSKWe9yOui9Lwg3Hj0XeKm6AiNkptcc/ J5HhUly6daoL7vW3r1QZ0kAaH+WNjY6jh3jepltmFAi6f2qIbj2G/bNC+VbS iXg5QnO743g5vhMQswyOHgENtRZ79sxB3HJxbe/TMRLce+fu6pU6jE+v7ty3 5Rsdrz6pfZb9thckO9yaVRSJsEPiirVy+iBmu1XWBGyloKeVYkxFUhN0qHOU PNg/gAkcudzmlZmQpekem+ZHAba5m+1douN43e/xNutJMtyTer7DroeE5nmj NgNbyHgBr2gtxNaD+I0LHAJfq6CgQ/m2z2wHPicVM4IPzmHkuQxVH+yDOqGK 69zXJvHa4AsT74ImaL429/jqOxpwxH7hDhSmoNmPvPnbWoNYHouvj4wlA1U8 8d68DQ1TrCWtGf86oOnXvphI5zH8Wk2Nb/UugjVdq9JfBf0Y+Upg+xONcJBh OjmiyNGFR+fHzhf3JKM36bUazbEFtKSqDLWsCBhg5r/8RLUJFnWO9OSpEPBX l2ZHizMZz17PW2k/UQ376Aez+zZUIGF2qmnnVDVypO13SDrTBZ3CKg6Dtf34 8Gzn1kl/Ipq7m0vSbGLhIEF/qD5sBo3Zg8Iimrug8Hfyl/ILRbDFy6z4bWYX yknWKLygdWGuBGPk0aNs1F4PmdryCXQZl1FetC8DQwNe/8Gns+g0wL+/grUb 8h4QbXWVxlA++sR/m0UzYEJ+/MSnph4UOeggqX8nC6PvaBsZrFCQK+wvpe1p NURaPDOc/jSD5iSFfezvOmFxW7zEfEAzcCy3sYnu6Mc6stgcvx8RKt/+GHt2 dQylWl2mN4wPwbW+08YtX8Yw0I8irfe3C7W3vtDkEi3C74V0m4xJGl4n6dSW qDaC36HypdiKSqC8jkoRxl60PaZtJxPyBXTz/3m8Od2DltFV+rd4apHX9HnS pdF6dKtK9Jfj6EOHe46K7EO5mPR3a0q4PA1FZ6OlTLAWhH8cH+u4P4WEyI+G mYPVwKBd0OCld+JJmfi0VTLiraqG9BorCnTw/6bta6XgXvo0bXyyF86tKN0P +jmKap+b37T3knFghT9IRS0XnL8UHtDe1oyOmYRvGox6NBU9a+j2kYCFd4zP Ss2Uo7KPTfmkSAskRYj5nNtPRNsHvOI+CVSweFvsWtlGxZn9xw4+lxgAwX4l 982lJISg1ll22T68d/SAwKuVUhRSZl+a1+6FnRIcBXU8JPxcdVr2S8QM7tIL tPj+twGcnU5UldsMwze50uYZswnc2jBxvf5aJ2b9upokR65DocvaxW+PDUDj rpZCM99xHEqOWKkzpACjOE9h1IKK5qKBUn/X96SROMD5RK8e11Q6EvdLDYBf 0E4n0vdxDFUQ2NfHRcIQlqgqj/xMnAt4avNgnfOYfD7UdSlMIXH5XrzzAgHq +YLFaLvG8ZfWwadpelUQ4M7EHn2TiHODjNj376cx4WPDXEZoKfxo3Ouk7dWF BgFfFrlbmnF2TjqKqEYB+44NynKPpvCa4hLjhc3oem8ZL+t/ScEaheMZV+SH 8Ob5D+Q7m6twZUKqfM05DXYNsN63shlEgtsEBzO9GHZeabrxKIyIVj9TqIRL RPBssWIyoZExKGKHIas8BUVcbtn8bvTHkDtLVSc0CZiusb/X7VwT3hLaq+1H 6wPl4umbtrQJ3HGHtcS3tBx9fms89AslYMevRqMv93KQL0aMZYNOH/qkxpdk XapEBkdvyYp8L0p+f7NKPEDE4uWzdAKhFtVnONwasBQI0aly/VyjWHJMX6Bm bhqLQ4XCtu7/BKF2TgLbZUjAVMj+/vxzKmYzPzdjO9yHE5uyWCT0W7CWyc2O fz0v9JOetLTRKPg4zC4l5NQEypvtcOZOKcbEn9dHr+aGY6Ax9fV/D4fwjrp5 3Nb6edST9z0uSUfYxC9sefv+DBr98vYijX+BBLVTjX+2F4Lb5C9WTsoo+o1u 93J8Mo92Hz5F8CdXwK1zLGshLEMoFvBWm3mkCXczF+3QGR4CzYtzCk/XOTgj t8BHV4gEjfadL3sKp1Btx2Zg3T0JJdv7jYTS6di1WZtTeL2nq/w58sdpGx1/ F/xeOFpRg7crj7Vw1vejy+izU+W6DTi70TCzk7kf7eOLzg1fnEWe4rzmosoY KGqL/Du0oRivHK0HQbFhzPSo6z29zl/Zag/1Yjpm0O7E6mP9uglkVrR+Svet RadwM1LZVzLM6nSlZjjPYDlLOvHQ7gVcrC7K/czxGYxYpjuevpvDSi5Ko+Sr eFh6rnrv4vE2YNLfFcZhQUEFbVfnqlwCmqS8KjRyJWCgj9slVhIB1VO8Xx2O I6BtctAV05kJ1N3zn7WnVD2mq4aqf7ZaQJFx2TBL5o/AFHc9s1JlBEaEy+8/ 15nGF2Hr2LaTBC9y5YN5DtPx4CldW6+lPrgmwnaXjzyFK5MWc1llvXjEOKft 55Y+/DLUpsya24aLe9/q6QsM4eBLyd8MvW7855u/UV1xAF+Jj+667kbGVB3t lM30RowZ7TUI+TWJyd6ZNcev16KtPOWzIs8sytOKLmXIZGDFcdWplVtNoMxk wRTlOomFF280ZF/rwtak/FCWz4PoVifg5cJHBpaDcaPE1Vlc9NTilrQlwdsd 7T/Orr+f5LXALkPjXnwgdsi/pqgfHxhJrXm/y0PCRc60pAQS6qssxB2j9qJf /DN3aXo/rtjXfIygLKK5zJAp29sPcGRj/NgdpTnsnHZUfPo0DStHThEOBQ4A paDBq+k5HTcNHFOW2DoOjaKhfkfS5/DxWkqZsNwIPjZpYTpF6cOwDZH8PL+6 4UFI+xcjx2mUl8hOGFh7h09c9c8IZ5JR5JE+H9WnAzZfNLy9pY2GT71reoLa KuHEHsFDwSNUrJ6LOaNu2Yg9lcVBC39I6FP+6gzTs1nc0Z4t8ZS5CnPUDlkp 3RkBnnpjfhbVOeTIeNkzYTuPwRSmG4aZpZiapNfvcZ2C7GXF25mvd+PqdNSh pMV+bKm6EDqxexirVThP6a4OYffb0jd/gIgnrn2pq+vqQvFtoWmcliQkOZzc GWM0jOoaZjnniEM4WhBwme1WN4SydvOMf6cjq6dTZI9vN8SOn/vvsc8M/rtd 9VRSjYb1lsbsp0M7cfMGkxsyS/0Y1VQj4ykyhpfSpKI6j8xjsl7hjVj9WmST ZSypsYxjlPX+/W++DSIKsL+5kEhHT9UNCQt72/HMXNmesMOLuDwdsF/nbyXa vl9SFT6SjvrH7yb83kfFDQb+RfI6c8imoank/aERBXTuP/NwJ+IW/uldh1NH kdlM0pJ7bAkrQ4lOBKdCzDYTyVTMGIKUXUshtgcX8I59PZOFNwWFjhjYOtr1 48Xgc3Te5U5gMZQtI61zg1nY+a9DI41wLE4pNOrYDKZU6VrsT2fgImeXavr1 HEzavm/L5m0d+OuYmJqKNRkz3AvWbqZWYkQqIfqT3yR+nGXb2lK8iKQ74Xdj I6ox74CE6WOuIRRwTjEJciFhaPh7/U2kfOxiLbjy9wkVc9ik4xklLXi4VWSr hQAFWW6E85j8bAdxkThJ54pZNHhe2mNWSUGHlw7nuZsGkB3LGC5yDPQsmeC8 eqYMjTR4Q1W8quBuBov6xRU6qh8y6m7voOGjD6Gr7uYEFM4m+50U7IRWpf5m Y5k51Lv+8jbNnYrHzfUDg8P7Uf6vYKWnai/wLklttPw5j1vcl891PGqBI7W8 a2c7Z1Htjd6ny6lj6FTUuKY2PIZHR4TvilxfwoBP+2UWbGvR6+TZvY8Ig3Cw WnhmymkRe2/xDKfu6MPo0XAJMxEy3l2tvfhsvUd9lT4dzPpiHs+q3d3k/mka A/Y4pkz86sXyt3Qz+95ePHk86K9lDhl/KkcydpbM451pGY77IZ3IU6KsYJrb iK53tulyv6bixo6/DdJ+U8iSkhluv94HncMIlTsiy0G2QuVv1vVZjPh3h6vg bS9O7N6uff8KBdnsAzXvSI7gLhmWCEPlCTy4Qqz+w/8NDWx4M0Vyq9G39OvI b+8aZAimGxaL0VBgZq199lA3tNl4LXdILOLG+8IRJxh9INidFLJn3SdcJwTY vXkD8fBD3m+iDDrWJPfmvTEZxRH9N6c43CbQQthhJ7v6B3T+vNMgMJaOY7K6 bjVyZdCeyrjhfm4OD5yPyiAEDoN86KB+GHkJF1bFWoo/EME9gKZysW4JdzcQ 92y0+oYhpRLCDz/VopFeO/dXGIFkHznuozwMZE2jFBT5EPEUW3Ja5BAZuVkO t3Eu5+GZ7X1t7M50nBCKK3S0oOFDG/5Vydp1rja8f8T0OQNFFNtu7shuxm36 zEK5Rypxa7TBi7K6aXw+Z+0h/HIBX0m/Kko+QMCPBz4mDe6ew8P2DzSeiPVj 2V7xkCcRFFRS/3FTIJSEd46r8tr/q8UFuwdDJvbTqHpU7MG+sSzw5nrQpxEz h34TTK+rvKPxBeHBy+M7ZlF4l8u+PZq9+HPTcuVyJRUVB1pc3Hwo+N6jf99v lXHk1nZ+XxI7ACUd6ksXDjBQ+53zlNexJTx84Zfxk4Vu1Fn8Irf+VkCLVdY+ Z8LAPgeD6cumA6BbWNrJrcLAG0459axrIyjNyA46OEVBd3Z/tY+TJCxLfRsR SlnvITlvxDyPUPCK5ryTCdsEPspv/EEVpGJ9OEkm6fg4Zo3oNapklKMbKee/ 899msP29EC/MDePJvIf/ieVMYnxI+hHaet+XijH9OFw6iqUD0Y6JBlNomq7q xVe4rufJxOlbfIuoznsia9m+HwN/+qZz8Izi113Dvol9k6gamh/9SJaBMWQu dauNPZg+Hc8p3EbEZXZRLZFwKp4Qut/hn9yEjkzcBqp8M/gnNPFLUDkDT6lO P6zV70YRfRf53WencPNgt2iI1Tie2bbZSpWrC33YXv+IW57G1wui8QQOBm7Z JP3XaB8B7704QKjkiwdZrl+yB9wXMHdJPb3p4ijiWP9ln2NU/Bn5/tQu4wX0 1HZLm9QcQld2XSlrj1FsMsszYwug4hBmyxYTFnEt/JSYiPgAikdIsF2t6gDB B1ob/YQZmMDT/DnxMwG+Jr2JONnHwM9WVX4det1w9MzeqiseDLQp173yyJUA IpH/XAx/Mdb56Zop6ycGCt7Qnqpm6cVhZmuf74Y03FDyfcBu9wTWyYvsa9ZY RD9/cVqaMnE9L0NnNJnGkRCwTz04g4o7X4jLv/5LxxMCpj6EZRL21eh7/Do9 iDHDarHzUdOYk8uurraLgmUFqucVnk6ixK38XL/IJSy1a7vLSBpE8qn2u3Nd i6j2ulWG4ELEjT3OpxlzS+iZe20ianYAnyaLOSpNDoL6DuKSnMkyEtuHn5Uu LKPW8eMOH2S7cY9EfIgD9wA4/fluzCe5jJyXn18QZCHhFhnVa47r/9FnHBP0 3qYbXYLbziTozOLjbaz4z2IBQ4dqHC3vjaHqmQ9brTbmQnphvIlk9BLujRzN f6f1DeWz7kf8tuxH4S33mYV/94PHefbZSudlVOUbsw3d348NpXPxSS9mUO7c m+WMngmckmRWNzSbQqORg/rK57OR+tPs6kTRIloczvT0Se6GGY81jnv/vuF5 avXGLuk+UMwqvXvAbxnbFDMMM/3DQU32tPNmvyXcVOg016O3hFo1tXPd10cw U0V5wWCxA2xrRU4x53/DA3we9q2K09hHF3dvCaHgotiIoG11Od5P/FnwIX0R c2YdTXa8oCFL+0Xyv9uT2HC56ESR01eUsp4t0f68iKwbr7W/9myGZuuauLG8 bzj+++ZI5ZMJXKF3v9y+dRqjtxtzlvTMoPCZirf/ta37Vz9ZlGnDEhYwqFfF bpJQ7fshgtKmLuz3uzj78MACXm8JCBPr74UxG9WfdJnvGMRsyZO07RtqCf7L ElMZRp0vpw9FmJPR16s8mvsvDYkaR5U1Qsh4dak+zW6Zhq81wUasJRu9fJ9X WAQtIZ1LPNadZwm5SdkWAe9J+OfQ+NXTzdMYuxy4edp+EoW/dcs/fR+EnCl7 zUTUGPg/KaSebg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 2] (7 + 3 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 4] (3 + 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (11 + 5 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { 3 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (13 + 5 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}}, {{ 6.854101966249685, 1.5388417685876268`}, {6.545084971874737, 2.48989828488278}, {5.545084971874737, 2.48989828488278}, { 5.23606797749979, 1.5388417685876268`}, {6.045084971874737, 0.9510565162951535}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], { BezierCurveBox[CompressedData[" 1:eJwVV3lcjO/XnrLVT5gSKtFQEUIoEjpToii+IQmpJCSpEEbESBJCJYqKiUol KhWVcqZN+75N0zZbzdQsJdIivM/7z8zn+pxz3/fz3M8557quJa7e+0/Kk0ik x8TP//+Xj/6tKx8cRKVFKnLu4XzcmhEyuIDA6TkH3COmSnBSr+dUR+cgusR9 8T5mnofNDz5dDiUwybZvQ8xwIeiQoPoADmKzMtASz3FA/8URcWHWIOq3PijP f8CD8rEz06kZgxisPv+JvaUAqdX7U60SiPU+G8zrahuQoqscx44fRIfJ9eI3 4e1oKBiieq8YRL2sx0+FKXyM0ss2vqwwiDm/cxknFDuA+dnc8VG3DFllXjab hF0oaB28titZhgZjyuZv1tcDmdfgEP1choxw5faNtrmQxLgTZnJdhuRirW5L agnQQg6qjVyT4ZB/SsQZXyH8/P7eV9tVhj9n/FCvb5CCUualE9ucZMhs/WL3 4TkDfV8E58nIMlRQe3T/SHETOM5Z+ryLK8VQZk7oUdE3jPoaMOd7mhT1Zbxf Uw4MYqeTc9aHUCm6ZUf4n1zOg86HV2XT7kuRnLWmtrO7GUtOLB7pvCZF6h6N uX/+5GKE7UeFq5elSJEmnHi6dxBooigF5UtSZPx6OxxfWwk5j19ZNblLMb72 6J5VukLwKTjiPX0Xcb5H27rTVk1go3JP8HGnFFUvWHut9xEj5US1XcUOKSpA ZvsFbi8GMy6s6V1LnOfWpVf2v3Rw5Ex9cXy1FKcemjV+TIOPzRzHYe9RCfG+ Cd2GP3OQlba4RKlbgj6RouzaJXwURdz9+5stwZ9zedsiPDhQkqnzTb5egi5y J3bI1lUjEy5epidLMMrvvN9RZQk4sN/HWROYs29imu+qRlSY0FBMC5eglenW /XN1msDnWsaHlQESHHJ9VPLUrAz1RGNtpc4STPJ2OPVoLw/dR2rKVY9JUHDP ZGdhrQxSNy1Nn2pOnG/rEpjo3YvUYemKrkUSpN6pMg3OrETPxe3KGtFiHHu/ ddfZHg6qGmq92ntfjMZ/R2xNvvTjz+Mh9G83xTj1xeKMmRF8pL9+c3fbeTGy VBX8zYLF6Hl/4Z0MSzHmHI74pH2EDVOfB8fMXiPGCLnxKWRRPzp63FdbrSdG Uu2TdyuMrqLLTHuG5lQxDu2FgOhlXaDwzD5P/vsAkvzuyK1Zl4K0qMiTjtwB ZFgfuZk33AgS55kWd3MGkOp87cOe2EFIn3Yp+1EEgfXL5uoqC4Ce8yZ3ImwA 098t5BpmFqFPlKOVl+0AUg4nZC6yz0JG2Zkqd60BFDVkbskmszFipkKhnPIA Gpe/X2Ek6kTjeJmslnhPhmNaooecEDophq/k7vcjJ194YNwxC1ys1j3dc7cf faYfChyfXwVj7pdPbvPoR8Fm7WyrUwOQsz/JdPJ0P5IHXDPYJBlUs37lVlj1 o4uC5RL5kgJIFZeM5G7uR9YO7R7XJBGK9LwcFCn9RP9aGj/YYoOTe70DlBf1 o+roq2a5ETHQlq9lPZzXj1O9zD5q7Zdhp9L6npcz+pEy/EY9q68AygcfJCpP 78chycuNnzsqsNNIJ1G1U4RukUvitp3mgOG6O+0/6kSooFhzgba5A92+h2/1 KBAhk/+6Z1tvMrJKFuKBXBGGhpa06BxvxHjun9nrPouQsSzgSaY5UX/GmVDw UoTULW//C9nNBtbOGOm38yJ0SeDqao0WoG/6q8d2HiIkffrOmhbUg8abG+23 nBYh56fJ7peCQiiPqI7ce0KEdKqJ/Yuv0SAQnAzWPSzC4K097w7qSsEtO8y2 sEuIISE4o1hLBJ7TzV4szhNi+tvUfY32LKBs6XZQvCZEuuvoK2ZhIzR/SjEt OkXkm5x/T6FxIaQg987f3UIUnQyv4TcKMSL6QWGOiRA5+lMmkmaJwFHu0rkg ihBT7xmlun7gIDWgVLvnSh/6zGmPu7WjEVTtxqpEG/vQxnG419llEPTmj27W XdmHlAnv66lOBcjoeO93dnkf0nJCEr8e4KGq0Vk7X5U+NNCfO8//kABp39XX PPjRi/SS6vmWy9rAnZ3tFf29F6PqZlgvvNILmv/+ynLYvaiZuuH0vm084Jjk zqgo60VbfvvHI1+rQXX6a90533oxafpEfdX6bjQsPl+ge7wXc1jHDVw62pFx 96hs7vpeFBV6hm30aIOxq9t0C6b3ovGcKUmrx/hg08G6EVArQJJJeZBy6gUM tOpSHcgSoEvumJY4qxZ0xmdtTMkQoMH93Es+pTyQLFKZRnstQHrtshH55a1w fUrsSMBLAWruXeeQ9JUH9CdGiT3XBDhUZb4k+msJ1ov1TXQInNQMe2r0mtCR 4rxLdkyAvl/dhuX0ekGn97jeZzsB2g2smfJ5IR9jtkkW77cVYP2tbVduTW8E hvPhfzabBaimaq7tY9gBdrOc9JuXC5Bx+PzJ2X5f0cZ111uyogAjPC2XrMsX gO9R89Q4AR+Zq7tGeb4VmLqAeyKLQfBWuIZf6eluCF6xTqX5KR+t6vY0eHo1 I9Vet6rRjo/53ut+LjvJweuxv7M3KvMx1JkWSV7Hh+YMesFEEQ+D/f+2CROb IR6ru+fn8bD57VxnFTtiLsx9tzcil4ekvwZLz654Be73voc/zeChZKlSWfBZ CURgYc2n9zy0kb8mO8Ml5vSMfTueveFhyLFBypInEqRrshvCI3g49S/NSdJE 8MrThvLaFTz0AXcncmc/6rVEBZot46FoetizhfkD4GmWHpu/hIdZPiN7y6uk GPxT9jNWk4fkxOecHWuKoDN51QBO4SF9WlB8yZLXMIR6m6g/uTi0zHe6K78I s176LwsRc9Fg4XRpn3Iv2vk9WXeZRcS3/rbMTGUi8yvX6ACTi5Id+dppXB4y Lk56LX3Mxes/lzp9IuqC8skhaOdFLtb3bzi5fawdfR629cXZc9H4TCt76ZxW jBCRNpL2cNG2SvvZsqxGdLfotv5sxiX6JubnieBGGJp87my2mIskUdDjmF3X IcLManm7GhF/HsXovcDAqZYeD0anc7FcbzJ6fKwX4qeF+D4cI/puZ9tytfMJ aEdevELcxUHmCdsHKvL90Pnib+OeIg4aHLy1c5diFfr2PvlxMYrIX1ysWW2a DIxOidl7Sw4KDg7T9tA5QHHDi5s2Eetvn6H+uMZCPRU3U+XWHqQ1Z6wt2sQF Jov0+nt1D0aYdjjWWAlBL/TvtMnsHjS47TLWETiAakuUN9hm9SDl5ZwzjVtq Qa+9ZmFQWg82e2dpkJUGkSafUhC1mMg3Y9SRthLzffzalXmKPehyo23Pk8/l wLQ0Uctu7Ub69A0LEiLSMepGflhIczem87WmmZqXgVq+qtH86m6C1ySyyL+V aLVBV/NWcTe6hzzetnC0A32WtH2+fb8byWt/iPnK7eBw87zc/s3daBFAYy9L 64ec9ik7M8u6UEHT0vrW0lYwvuOTeCStCxl5MKdPoxtEF9u8fgR3oQFPP2O1 XCWM3QnZsOFiF7pBpOqjpwNI/3FlgcY2Iu5sjg83EzyulTbaS+lC28pbs3bT WkB0fOf3rjld6DPV5P2cwXIsr3QqzVHswizt/0gTpoPok9CtsKWjE+v/jPSo EbyiV/mxSrW5E9Xq/trEs/mopn/ukLSiE/XMX7wdC2KDmofZQKJNJzpuC6L/ qZUh6UYbK624Azl6tQcebywDB/KCf47vOtD3x/YdGTOE6PA/7g7yvQ40rhV1 J3yQAuuN3bIduzqQxFazThoVoDutZ/yfUQcy7ryqy437Aj7ltq9itIl7C3O6 FnanF1zo6/0OKXXg1p6tpkVu/WCVVKVHL2Fj1KF5WW9OySAqbmFPZgyBH7RR SlW4GPr2i/kPTzZaPfK0PveuFxnbjWVmre3IND82oNL9GkPPNS61r2pHW8Zy /05ivte7vLqyM7YdQxf6/OF2cYAp13K0XrcdBairndMiBYPWpcvCpxJx79F6 a8dioD9o/3s7iIX5Gw6kX9QjeONDzdUDFiwkx2yiPv9ch/XjZf2hVBYGd7r4 8ze3AeOu0GdLchsOdeRVlyoIUe9wQR//ahvSL2m2GbcghO5lLKGcbsOIZzsP y78XQbrygbh1tm143UjwXSWgF6i3U7oMrNuwPPPo228HxeBg/tk2TrcNQ93e DqvdZ4NVxvbpz+TbkKIxsvT11QZ0MVLXO8xvRQfDlQlmrwbQp91t6H59Kxpc +6dx34eNoqL/5uRVtqLh0gweI4WHofrsMyYlrShKmC+yftMIofse7l3t1YqM txO3G8vZQFlQGrZsVyu60GxTHA61gU/JeNz1fy3oY5IW42Dej1S/0Qs3m1pQ pNplM82hDYNjV7+9eqIF01eKwgTzOtAqZY2j1lAzZt2pez7jkBSoza9nhLc0 o8scS9fihXmYfvdBgnFZMw4dT3jw9JkEGRZrolRuNyNp5ErTXG4TKMzm5xdo N2O6if7KxVbtqCauN9nEa0KOh/Gf0PCPQOlq39KY10Q8h8fuiUAZUnK+OP3M bELW+itRbxSaIdjq9mNZShPalju68NpaQI0nf+q2D5Ffe9g0/zIXx/w007OW NGHItcg/FigDg4ZDQTPjGpG+QTGfzOpFqxXdHhqvGpEaN/tzm3kmDB39ZeYa 0IgcXQv2nBmV6EPVHCiiNhJ66MUXivoXJGWveiVn1Ihqe2fNN/nYAwYGU15O X0/kL10z49MWMYry1em6ixtRB/Y8rWviQM4/usOVww2YczzebfbDLqyPIp1W UWtAxoxHuiELMsFgkJv2brweo97Mkfc17EG1By8m/GbXY71f0qTX8SKkRnBe 1N6rRQPhKGqtEYBLbM9Xz181mBSo6Jw11IIc5ZLdKkU1OJSy0uvmPwkYNDut nZdXg1OfN73ZtZTQ04aaS+0+1aCq+rhF2QoRph9m9F1wrkHO7qg70bPLkPmO onrqWzWSI8fnjb6txfp5OtEMZjWqBvwpD8sheGslp9z7fTWG/knaVvBWCC6M uuUTV6sx6XPzUMkUNtR7Pab5XKxGkb2ftlchF2xVpT5KltVIP/WnUTi3Cn2C 1ECqUY3u7N32Dc1dECrTyc9PrEJb809Dq5cXgwvmVB6fV4VTT4doDnn2Yjpv fDmNXIVkRdR/9qUbbNvYtx8GViJ1V4L+GeVMgicsjrKsK5G5YLIkTsIA0uLZ dSlZFYT/S9728DoXfOZoJhbsqMChfb8MsF0G9RYta+vlKzD982Hn7zdZ4HIk OmJ3RTmSnrh3Nqpmo8/x5L0bnpWjQ8w5pxWhPDR4MSUt/145Mls0Ny7VS0dO 5tFVEd7lGKE9135FixiY8nKLFmSVIX3UbY4vmajrs1WNVz6UYcSPsC5VKaEb FZcIqqK/oULh7Xu0m03Efg92fqZ/w2Dteezdq7oIvTH9cNjFbxgzo1/x+Hkp 8fwHRY38UnRXybAfn90AzPVBMbkhpUgz2bUhtK0LhqSGnTy3Ukxt0zco4vch c5Npog65BJOsggc0+6XIXEI51aFQgizdHzqz49hgWyi81yRXgqSJGxUhkZFI av8mb/inGMkqGhttXjYQfeKbuT2tGPNX2Z2ZLSF4/zar5LU/ET9wo0bDsw5d +O9MSDOL0erXhx3PhnuQWuRXJxgoRM/oifBvJX1IOqwvSiAXop7mxOM7BZ2Y fiaquI/GRPL+rAjOIhYa5F66ZkHgeqNXydeXyICa+CHlrTOhY4z5zFWZvUj6 sIPm0YVIOvjF0/rFY6TC3E8jt5DgOe2kkI5GpExWTzpMR6SZh/dM39ADJCe7 qWbPC5Ckv22i5HsycsDoR+OOAtRzLP94/nk3Uhu1P50KykdKf3Gg53/ZwPnP 8VyaJ4GvWPf97qtFutr8mfqcL+go9hptbSd8/rsBTunFXBx7XF1Se5iF9N5L tNbZuRjMPPhkGbCQFCXoCxLnIGPaSunZ0W6ghhjK707LQYNZwefHThC+ZS3t SdvbHCSFvejYtf4rUmLKZzmcz0El16ILwhghUISDyeXrctBYuXDD+CUi//nL Fb4KOTiUbi9XYyRF0t7IZX97P6PB+dHxL88IX8xGQ13Tz0jdoX34pxYD6RcU uy/1fML8We47dq7nA6N/tRfrfjZaZVl3S30IHvVs6A+6m4kiyoOUA2YDwLyb Nf1u0ke0YdpVbvg+ANS0z5mptz5i/ku22zz/XqQe/JP/+NRHJPUtvJ//uAEo O1uu7alJR0YceWraOgFygkT3h+anI/360LqnHaFADXWbOpj8DvWD4g/euyQG anmzx0nSWyQl9n9R33wLqCYdioetE9Biw+oZCm+I94lKHTxT+BLp3ueZH22j kT7krvz+XSw2W48s3O4iBbp7+9ZhxVhUWKUzNjk5CPQit5Ahk2h0F6xa7eRK 4MVaoOLyFCnZpvznmYT+trGQ1BiEoed5i8nYvb1AsgaN6FN0ZLbdTKTvJe5r Pl/NQ+CPSouy/bd7DyLJYu8p5ylX0KbjyEHeTwmSVnaMHZ+4hKR69pqwr65A Gor9Gtt3BO1sk67eWs0Dks+bDQ/2HAGf4Lj3rFXthE+/5z5ecRRoYaC2s6kb SGGnc+x33Qbq0o+xyddkQPrfcV+lZ7eBouW4SK6wGkgJq9cFT7kD1L3k958J XUtqLfzHuXMHHPselHu/FgNp/54KNj0IGBacONfZxJxZ8zkl9O89GDM6+Pzv pn4gbcl3CNodCqzm15NXTYj3/zVlrZgXCvSxrx2i5BYgPatu96qKBFYw98hL JOrf8rdK7I9XoMZyOVlyhZgPm4xLjfAN2Ox+EB7pKARq7/L9kqXxQPuwaf4Z fUIHJei+G1+VAD77PuQ5+dQD81a/64WUBCAfW53tVViH1B77ANfWBGCMiMa1 rhD1vzZ5Kjgkw9a7ASbHPvQBVeY1UrUnBQKfnZka/5r4flWGR9RbU8AicHwg iCUC+vE++w9l6VC/4tZid/s2cLF1KTWSpgN5Q65op1YL0lPfV+bFZYLLucvx g7R2pETYxy+0zQKlNIdZqx8Rvuy1+34LhWwIHdzuMeFO1Kvew6ztdz5DRFjN r8fZRL8EfE6sYX2GELKBUoACFzmu78ZGT+aAuzfFL/o/FjDkyxW7K3OBVXFZ /sVONjI9oxlZ6nlAr73Wyh0i+vdwzA/J2nxwcXe2invZDy6cD3VyMfnA+Fr6 Ry68FphFNzW8y/MhVY8k15YxiC7uD4P7Nb6CLXXZbC9aMXKmGDe0eiGMpfww ChA2oI/ujFEdFSakJziick8FhD7k3eH7MWEoXsj4oVgD9QapA42xTHBQLPji zRQCI5lXczmFCeSzFnXkwSKw/db89/IAE2L6mjc5L+Mi2bt28SLLQkhXLyp+ vpoFZKU+uxlHC4Fu79W36AYbqHbX19JOFIKa46WZV8+IIf3jd8u+gUJgVdua TYw1ID02JOiYbhGUO704baYjA/LkI5eL6UWg9D790ZrEXuK+SlvkqovAgn1a f5ErF8jyl69bzywG4yxNb72/YmRcWDhDe3sJDNknVIgXCtGgSXbjmG8JuFR/ nxe+pxDTZaTgtf99A4Ot5c98nCsg/dFE3d6SMhhLZDOUV/SjwdDi4nUzykHw N+jRzGQ+0A07c8xnVMDYkI69StcAUvllBn+PVgAl+5Kea3EnGCQav4vbUgkK wbuMGFocYDylrTU/WgkSg5OBRwz6kXTZe/rk9UoomZE3zWsX8b1GZp0pfVhJ 9N2T0gNGn9Dnglax5cpqoHWY8hf8GkSyW8fbU2+qgbPO3xsaamAo7FQ1ybQG JCf9FlFLhcDcs7TGfnctiAYalef8qkfOiojzVbRaoHY6rsk0/IKUmf4Fujdr wWXY6pFNJsF7m7+MiHpqgWR0/6pg2yMIJee2aC+uAyWT50vcFhH8etTEecK2 Dny56gqHWjmEvvo1vPVxHVCfalWff9wI9Wt2bLr4rg4YSrMzHCP4GBqTIng1 ux50wscGg9SlENqdHB0ytx7sPijlhNtzwAFo/xOcqAc3xQ/RO2bywfj6O4/X D+uB4hMTlJ/OgvKnB3zrpzcAyXUy+1QhHUVeqemDmxvA51VOJPt3J1KvcwP2 WDaAS3tex6MvMqAVW7/TP0zkV98VTfueB/XFiexpxxqg+hBnA1lVAMaLVked pRHxKMc/Hgb2YLCHP4tKb4CtyUMzF+hI0GHmFJWwogYQfN0xq6V7gOB1FrNA 1ADUVuUShdeFWH7MN/ikmMC2O+b8p5wKoRcmj1KVG8HHzMVz0a1asNL2MWpW bQTKoeKMWvVCVPvPf/4Ll0bQMb0w3bxHClHaW6YUvGgEMmlrtpOU8KmcdseI BCJfa23ElLw+GHMYVp2VQezXmjwwP74ImY0xymsInOSrvfGiSTtEWXqrH+Y3 gmOpx6yJv2KwCpj/eLNWE+jN9XvSv5Twt4q3yJfLmqCE5vGGFy1F8pofbazW JqB7Vf0xmE3w9mvrcK9+Ak/cKTvviugQGVzi7dMMTDu2//O/aUCe+PfnHjaD RdWhaxumSlChu8jEobAZ9E/oDkxrFqHo3cZBRkkzKFy/6brpFQcd/jzJlZm1 AOVbfGietgg5NJFELaUF9Mz+uZnoisBHa1XM1fctMHb6/lHlgnY0EP280Jrf AuUnjZUfvuYCU7zepaehBZi7rI1jac1AxSamoqQFrHaycl5ca4Z6K5NFbOVW qHe+cfGuUSuQNDm/3dSJ/6EI1tdl11HPeVur0LAVfFkPGGd/iVFhewJUvGiF zmivNWeyZehgQE7r6W8FgwAR5d1tKTLolyWP5NqA9FVtxMn+BbqHZO1bR2mD ofB5b1vPsjEnS077gGsbKCUFSPqsiPrsOlTjUdUGtrNqrt6oLEOHbtntD/1t UF276NMb+wGIWvtWjjyFBXqJik1JM/iQY3fQBBVYQJObEWqdQPCbukHfJDHX HE3mCkMLucgSVn35SmUBif187ayZz6De9NwVfWsW+Ehsn9chF/UOSsfpp1hA Kbs7+36gCOp3xLp4nGNBRH/B9lauBFihi95Pe06sp8puHXuZhA78kZ6tGSzi Hov6B94UYc4nJ5cWZIFaYtWjxed6IXQV/9eXURZQa/4LVNwaBxR5JI/btANd qFJ8S4WLSXbP9N+6tUPMh9lCm//6kT7r5Rzy+XbgRAfNHBsj7k1eQiNdaoeS yNujO4O4hN86dzA7ux1Udwoj2/QEUF4xqzSjrh0ol+VuGih8wqRpVQ+n/I8N rGmhYXH724l+uBaSOIsNHMOqnkL9Hkj/dEOjx4gNk8V1fxUHJTiWubYh8hIb GAbaA/+u5iBLbdG1nHQ2hCLJPSm2Ga0+eWy8kM+GqV4bHUxpQrBi6UYL64n8 lIwRle8CEOldv3ysmQ30sOY9m1rKUPR1m/Ptix2gbypxYD8QgO3PoyUtNzqg Wjf5zMUgGUSNFvzaF9YBNssP7zQPkIDt00/z5J90AGk9R7w85BIa5PsmJ3/s AKuWOVLHci7QuqsLZuZ0ALPsjrK8Xw+mX1H8ViHoANHeIieV1i6gCW/bxy/o BOYCVMwVvsPg2gD2rOWdQH7caX/AsxiTJMOmjmWdkFRRsWSVKuEvDgf3W9V3 EuJq8UOVvYQ+CWMfVfrdCSE0x+LC3VxU4K3dPW92FzAjvbJpptXIiA3U7FrR BRSF1HO91aWQxKXv3HK/CxTC96e2mLRj+n7TPZefdIGBRnYKJJdD6DmN37xf XRAYfrzVrEgIUVeGP9ZP6wa1b7orwoQDWH96v+a/pG5gTtueXrTsI+Tcer7x 52rCt0ccG/ao7oaxrWEpv9f2QNI7LfW38WIkMd2VDhsS8dav906bcSGpxHhr kX0PMH1ri9ZN64KkzYcePzzWAxQXgY3xvXwIdp6anEhgn9/WPm9aRRilV9dB dSHWj1BWRc8tAsZh/+0hN3vA+FO1Y8K0FmT+Sq3al9sDDPWHObsNWiGY0Wp6 sbMHrDL5TROlbcjyefCDzyP2s31preDQBsY9K+vP6nKA/J3srmI7iKl1WjdX GHKAskSyLPVFLrKq1R5/PsaB+N/K0ldCAdJN3tFiT3CgRGP5hMWqAXAIW/XE NpADjpO7dzhfkYHbGcHsa6854KYsW/rnvgj07dcOL/rIAR+7kzNXrS/B6oPp y5W/ccBlq+1266PNGJVOWxDewQFNxTs2q1U46DJOsg34xQEFOnW+28FudMuf ipbTuKDzdoHyDIkY3ELj1y6YzQX6b78nU0sJnZG2wGjOf1xQU5S23GgSQL7T cMUGOy6QIqeazj9aCmre175YOhC4MuXW6zlhMPlgg1bmCWJ9viiadgsh/af6 XJtLXBi65vdp0FwCQ9TGIzMzuEAdP3pWvkUGmi2GHpuzifjOc6Rbmm1Yfbu7 ZGU1gYNJC6/61SGpdAWrZoALnqe2rRyu5EHIlpnSOT+5UL4yr254uBkpZSNW Jb+5YHW0Tff3ODHHtk4E+8vxoHM5P6i0U4gCmpautREP1NSeiy3W92Mo3eiV whYeGFR0LCeTmZh05kzQnMs8cDfLdFjV1wkWy5e/dwjgEfXwovP9wm8Ev1ac E37kgeSv6eB+SyFsfXzVvb6OWE8q1vcSl2Dz8OFGl24epP9T/08QMYju38Vd vF4ekHe83WAsIOaG/IrLsWJifalweJf8IDiYXf9iScxdY52JAM1HbRC120J7 G5kPSa6P8VNWCzgojDg9JDD9tIHH5V1l4J42W2vZfD6EPvNIOBVQB/G34fnY KT7hMyiW45qdUH1wY7wokQ9qp2dpsuYRepPSW7GJQ+BGygHTtR1YYtxxceUw HwxyxRfXEHODyZ1aYqohAHoWqTDs3RdCb7Kl+YsEwNqauHjFpzbwVFH3z1st AAWvXG+Fb+1gN5AaeGyjAJj/jA6b3enF9KV6doZbBWCTpPTi1EoB2jhPf5G/ UwDUluXlSvM6wHiunSplP5F/KLnhJEhgbLh8gV2SABiPVoYceM8E5hHLc3Xv BBB8zTz7LuEvSy5NWWWUIQCKZqu2RvlHLHncfMy0lqizRxdH59wU4eS36wuU egXgvuVSfq2uAGlMhdFwhV7woe396WpeBfleyypeLe4F5lOnJNGMTNBX/xrI 1CF854Y1gbkJuUDpyx/IX94LAq2iR0/pXLAI2VdssbIX6Cddz0dnVUGgh83+ 9+t6oTyPGj8xKQCL0VmLb5kTPLRyX5iT/ABOTXUc9PivFzTV94xlMvrRfflM 9jPXXnCglE7UdPeDBc9+x0PPXlDKrtjxax4PRC/dbdt8if3093Uo/eShTlve RkZ0L1xPfTP8Z60M7G6yOivreoH2U9hVe4jo83zvXK0fvVB9dnS4Z1o/UKbv 8DPY1AfxIz7iPav6IOJ+ROczE8LXfSw959CWhL6dzspRTn0QWj3IX3+kG0Jq l3lZnibygrarrfo5iGM7n+XQLxM4O2ZT6qZemNQcfBBHYLpFgRNXKw5U6y8+ i7vaB1YTOrMcmY1Im5MUoX2jDxgFdVk3muoxVHve6tthfYQeXV7nn9uGW+Xr wkbC+8Bl+5Try493YlSRf1jSLyI/5oCn9UsOsLrSYr6M9UG1rf8JjxsidHD8 37s2RSFoVh2vaFnHxZh1k/Tzi4QQH/Y39Ms5LpbYJd19p0300enzI+pDQnDJ T1e9YS8EvUMt3NxDPai/nm1/7qwQxjxczVen9aHnM6Pd8y4TPHokMyQmkgM5 UxtcLbsJnvgwTLWL7ECahutVjd9CKNeLeB4la8F48aN/5L9CiKjhFSovFYKF SsathGmE732v5e9bOIAhE+l+mosJ7LSmP+grH+3upo1MbhUBbfcDv8nTgyDp nxt/1FoEepVbXK86t6Gh/6/5r/NEwLTNfniyiIMRi//Z0epFoLDqLDs9tQ/p Bw6uDhSIwMLyTsqdcwJkuXpWta/rh/pRx5v+Z4jn17WPdTHqh5KFv9cwM/rQ rTsidmVgPzEvGu89PdGHJeuuWuz90k/4m8sbj6QR9ZjsZXwS+8HYp6zhDU2K +bkfRIGFRHzxuikFa4qwfvPk12el/VAeZZLlOSZGt9HEgxeb+oHTzbl6s5YD +puCGR5DxPlmF/ZmPByA+Cvya/OmDAB9cV9ralEF/rwyJdLBiMD+uovqSiJx 6MbME+b7BsBWxVecpEXMmYDTO86dI+ICv7ifXQmo5N5bfNB7AILV+ZLIng6k DN/t/HSd8P17kF11Lw4tJOT5CwMGoJMm3X03loMGm1z7ctoHQGFk+wqfbwLQ Py/b6vd9AOo3Gv5sjK4GnSWZ191VxUC6uODrGL8BjAvu79+sIYasuPqDx+8N wvXrZKrcMjGIZspfXN3OR6XyWw9WPhRDc05k8mUXPjDssic7k8TgwKN02Oi3 I/nwK/22fDHQeVvYxxpaQdU65t6JCjFIwtL0LTKI79FqsvRxpxhCf8eHXa3u QqtYZ5U8AlNuDXc0KmfDUKvlmCpXDGqLsgNNl/ah3fmhXQf6xGBwKWpToXk9 hkh7XjsPiME90CLPtUKKkhky6WJ9CaRDcfSU3WIwph5657JeAqTGN7szfFPR 126olxNLYBW7mjOMl5Blq2eR9VoCIuplsfsjEShNk0xkviV03DJHKatHBpR8 +cDkMmI/w+wlC/J6YaxZlHJzkuDJGuWqbbaFGPhMo6iEwM110WKh/QBGpZrG jJKlQF3oZciQILqNhKSYKktB9K/STgAS7Jzifewhgd11JkVLv0hQ9KxDuleN 8HGVQ0Zhu/tBNP9J4WtjKVD+aBz9ZycF2q/GKVf3SCF432uz5B88iK9cG38j VgrlKYGr4l1YGBrmYX7rrRToBnEapoMMtLJertb7XgqkWo1r2nLNcF099sil YiK+Qs3r/tI6DFxWtvbhNykwKfviKH5idOiJfBrJlkL+/GUDvglE/4TffLCk Vwo6Dz7+jg7m4eQQx65rpgxcAj9KjNcIsHOSQtN0lAHz57OXTs+6cOh/7eP/ XGXAMN9XvnqiEvV05Q6435RB/kp1yka9AQwUsZ+sj5IB54UZ3/9EF7psaeer JMjAoHJWsD6bjQ6PfhtUlcjAYXzn83n2IqCkmS5ZVCGDkInK2gsGPIhJi/7V Vy2DGE+rs94lveCy4sUXUSvxXeZ660FeJXDaY056dMvAkDP0+eopDtqeqKoU CWVAurpk/ZG2brBbs1ftz6pBUDuZFu5nQuhr/+WemzcNwqTj/xR+XxVi/a35 +WYHBoHitOckZedHzJIGXNpwfBDK/Y+43tcRo42ap40oaBDojNVBa8NisPnK 3MGUnEHIWVFulxTUA81bf1/S+joINiUy3KwpxOuT4UveiAeBttLlP3MZ4ecO nvW+PTwIMbfuHntRxMf/A05K8HU= "]]}}, { RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], { BezierCurveBox[CompressedData[" 1:eJwVl3c8lf8bxpFkVEaiEJJRiMIXSd1SiBAqpcyskEg0KFktJElSJEpWyN7c 9l7Hsec5x97HJo2f3z/P88/z+ryez/26r/d1XQdvOhlY09HQ0Lzbevz/TXCd DKKRacc79a5BS6wr8KS6TKJWsQ1ZSmftm6uXgf6NotiU+ywYX03lVTk6DAnj YaytCu8hIOHMg7ieBSBJ/32kr1qLfU/WimtLloD9Sf5C1LdR8KvOlo1wHoey p+HP6CLGQG3vvoCkwTHgOuNTy5NYiPLKptNNy4vgd6uL7i6xEbkVEnUS1pZg vfnV2g9CO/Rb+tjpV8xC3Ifmu5s1w9DJI9NzQWcC2qXD+A8x9cIdhiPPL/DN wJdEu87Fv8Owf/zqhcz1cSh54sPG9DAP//3N6zX1XQQq4UB18Z1B+NxoxqrF OgVKNZ25D7fuGcrFJs402A40SmEGKnmD8MLqmzhD/SRkcZorPiNlgbaWb/3D 11S4+30g4/ubJuRjZDi84/YSKDRks0jZtGG3+c9YmF8CXD1O1shdgIe/auoC ZvvgSR7rXZY5Agoq+/GebFgC4k2L/JfZIfi6r9BO9eIC6HbpH2JpioDk/LyG y+1U0Pmh2HqHnwy9bGwMPkIT4CgV+SnoeQ2GS2//WJ62CHY+vvmEXRPQ8dsl Lo1tBJq35ailbSfBTgfF7UUJE4BdYhHPzi2AZKWS9Sy5D+67/Fx7cIYIqpWw qTY/DXveH7zzU6cZDnozBOQyzYJPvuv5B7WD8CHK9maMzQQYnHV78IB2DNyS I12EJUbg9gLT2Z3L1bAdBj8MPJ6FJWFl3tcNzRhicWYlMXQRxvO3J9mNL0Hg ffuIEjci5DGNyj3+3gUCluaODX2TYGRPm5xiOQ955j+ECl/0wy+yA8d05yKU 6pDJ93k6YNL9acOsyAQIx3/bUDeggIVMFi1DQAew6TjvIi5Nwi5nVae9FZ04 Ykm1Jl1cgpteuV29vl146tSZkw32S8B822lUW2UOot/VPllv64eDLgXWUrdG wWSGXozJfRjscj519VV2wmGFA20NqxPA+7zRPe7rGKg8X0867kaBlQeLR+wc mvCVWBXDIHkB7rtlSqgY1YG8itd/Ik3TwJj+hxKIrSgoE/Xw0MFF2NO6nnPD dBxMl3hYV56QwVrF61xdCBWUPOa8hJy6QLjBOE5Wrg2bKHSHNNcXIMK3k7Fd sBOFpIK4LZ4uAvHuZNfq4WEQFSJ7h/kMg43IS8tOrhloT5J40WvbD7p8f1V7 +itQ5dPXn3uiqJD76Gnot1MLIB65sGrT2Q7XTGc3SbzLcPv4PipdXAMEX6ie s37ThqV7d5w/XrgABTXMw0krMxAk8C5ppaIXzvDdt4g+kIsDxuI1GkHz0Gr5 9tHwbC/aVmozvm5fBJ7OjNIfO/rgZXmRberKKHxjTsz/GdyBzadORliML0D0 q+4VB716uHX/r0lr6CRosv1rd9GrRW/3jWQ9eyrwounXGNlsSNRiv6aSOQ27 31vlGx5qgLYTKw9EZSYhJ6efzyyjCSOXOncpplCB3fV7aMLmFNA5Vw186+wF Jte0yz0Hx4HNViqErDgE587pee/3IAFKzkd5Kw3DtVdGgvztS+D17D8lmZZq WEqX8O+5mItPlv1lLsrNgfM8twMdeWv/VPO9l9mrgYcpv31v9CiEvFNd0R4f grcaxFm25glofqvz3435PuiKTuQ5K9SB9bb1jqYSC/DnevyoFTsV/O5GC3YY EqHqikAFv/cSpL1bCX8dUA2cNN8NObb2cthShPGayZYu3aWKWEfm4bFjtz4P uQ1S0u/9N0jTib8uvlWrZFqAOu4Prx4JUqF5iIdfTbgNxC/eco7m6oSg2EIi L9sosM3Sl76wHofSD19UDWv6QCz01d9q+m6oOK7y4MKNEdjsuhVyVn4Mbm1X auu82w8JH0zFHhsNoeEpISUhpkWwqlLbJuBahd7Khy4oEWZBQONx7jjMgLic YrHax3YQvLW5tvmlGT9L+q+c3z4Pk8xPfuW964EG6fiWQ7uGodH1LW9d4Dyw OXw7NTbQAjoSlJjTihV4xuKYpNTiDDz8fqbraFUkrtw7++9lxBQ0VGje1jg0 AVGpdpfCj3RD6b8Tey69GIKnXlLyph0kYNvg3sPqMQV8Yvf5RZk7QF29VKuU mwrCFnIf2bgboVQ8Ov9uwyJMrAhEWoki2DXJuDoqTUM4JSMvPpEI/wa5LNqn +4EvVydEVpwMajXw11OOAj55k73m6QNwb+dtL6+uOLjNlNn7XH0Cxq08QwW3 VWO0iMH+CLEZsAm6adz/cghaL8hrsaQPAXujx+ymKxV2dlCo4ek1EDqw0U17 txXPXyflsoXMwn7q5cOsvU3QSvj4n7DnCCxlytteop8AIb9t24rvbfFoZX4u 2mgCGs8JNrGxdGyd/52xKnkSfpnW5MrKE2F+3VpS/MgUjKV0CJkYt4GW1PdH RbNl0FCgw6IaPwpXig4yjn6mgL/AHZI7tRd0LF8arOouAPVSO8eBhlL4Oy8g Tf4zCb+tnTnalNrgwl7mBqNHWzz4IJCem9wDF+2P2UgmpkKLz3UXo40xyDzw MBB1+6DlPw8JaTESjHbbMUcrxMEc6UiDZNsYCHBaPFmVJmFv8+s8sKZCI3VX bI9oFmy+DfghtjYKXCTdwwKTA8iixnS/e2kebJ8zJZ9mmAKhUYdoWf1WCCgc nNyU6MHMvQLDR8XnYOBayMRRnkU4Vp7Xkj+YCqOB1ZojPwfwitI/qVOq81BO s/2HVHAbPP7anyd9jgyftBtiP111Q0O9HGPl5DHQP/Fn5njKArQK55/VVE+D 6nP/8RNjxsH4vsPr3NpWsLqwaNThkorJRakjGUtbHD4Qb+kT2IdZTrUVclv+ 4qjtlFW7MQ/JPPuJMhE5IHNteR/Vax5uRe0LL4rKBSEC7faDj5ogJ2j7LeoQ CQ4O8ibtvzYKx3+4PmA4Q4CrdFwZebdHoN3T7kyRXhtUZDO9Ld3isJfQ7zQ3 yZugptidzrwwAjucNCZkhQnwTzGG9VJJBjofPH/YIXYUXigV8NzNoOAq9cvU 4OIc6Dw1UjCxImL1vS4nxuJJ0GMaFOm2nISvK896/PSrIPRkYTxfTQ3wHRtS ZXlKAs0B/r4D3AXQ/nXT8XA8Gf7zEhGWoqsCMMyBlickeC79NYlDeQCZ6SPq WYumQUCCadesahGo29JP0veSwPI67yN/nhm4Rr/eeuVHFpym4/qRvYcANhkv wr+G98H77RlHYy4VQSjrAtnYnwQcmsYHua+VYq1o2WpH0wic5eq9qS28AKVC 7cEZg/GYmLVded+TPgi54nxey6EdWPlytRuNCdB7ZXFN6FAvyDDHvXYMnwI2 ecltp55lQ8FpNs/6R51gqt7SwzzWCRX/3V2N8xsFyX0BDGFM1eBG+lB4dHEE 9gnpXkyRq4EYwbrfC2vj4Ew5dl3UqgTcNN+83t/fA4cvG514MbSVOxy19gbl DyGn7MUZ1odT8OPNzFPDLBLc7h0Kvn2rGYwys+PlZKdAcc337huGFJgYUrSI YRtAg/Rm2p9Kk2D/xdFRdI4Cv7SmA5TO1MCHmOGZwKgZ8BKmacom3od0y8XC ezIjOHeAW1xfdwY8jc3G4ix74TbdR0mNDgJ8kkrnqj4XixX23iy++8mQqUvD 8C1yGG7mhgzCkUogBwtVHfk+jImilbsIMdMgSc9fbC+SDVm4mih+bQBqmKVf sG/lzH5JXv2m3elwbzqF6iK6la+c551eKRRjgF9zRMa7bqw+Mfb99YlxYNQf zJ19GAP182Gf+EYG4ZyEu5vgChlFDbv4bHWn4EnAQY0T7L0YvFl+XtdwHKY+ cPFKp0zAS6GL8vb/4kF5Tsb9qOgcqIQYOMcdTcECi5SeDyFFIN4SfevEn164 xT+w6LtaBF9efdlxI7UXhKtGrVul8pGy8K854xAZJr5Ise0TnIXSEpahF18S 8TJLO4+VZytkrRNemTS1gzLDgJrx9jFwbezxW/+ZAfV/zF4Ip9fg01/zLwNd KdAcuXMqkJWC0f6MRuVWk9DmnfVa4EI1UjU5IgLFKCBm13jV16UdPaRVPF5+ HIEvVa7s5gGzEHzVp475Vwa+PTnOo+1JQc6oNybrVybhYsTgNhHXRkjOdFPb s+UPJPXDovcHc1DveeMTWjUSlGj1GKlnBONVsnKSns8AyJ8J4Gaa7cc9HuRD SuljUDNW53a/oxY7xDMyP38gQ4joQFuY1TA8Pq3SJS6dAx1BJq8m3kxC6fcW w/0ysdhcPyc8p9KDpjndBaLhI2Cg05EwcoyMX98oumYujwEdXSmn5GIl7uj9 0XN0dQiqX78kFGyngN6Ul8lLsUw4uH5r9ehkH9o53x4/+3ME9rrPyn8QIuNp 46qSw45jEPsrWGKAnwpCLheHppTq0EBP6I7ssTKwP/+HHGRNhOkCt+sZF4mY ec8q2z2UDAEC/qou7KPY/quqnYlvAuZv0Vi37iVDqeC9QapZGuTddwqz5RkH 0rPw9XHLeKyxYmLlFSYCm/WjNM6IGljo0yeVhZTBOu/nmfUsAiQlcK7R/MjE PIekmbBTPcDKHC7R/aoIPJ5lbns+TQBKXez42oESvLSk+cPtWC/ceMavRS9P wWVDnTsWN0ah5LaMWNDLZqzHjZ8f7w7C2UTqxyMCNejrwsMvtdwHmp/yM0pD PGAup037ekE7aNteeHjGcQQTkyvZ85XGQE4ieV85QxdMTUkdyUwpBC++d7zv 1ofhoSTJSWBfAkqfqLU9v5mKGquph+IVO4Ho56uUUDQLX7jVe2v5mjDbkuxL 83oQO44d3fc1kwK0m6T1ErNWqPvwl7rzdSXQUXzafKwJmBlnZ3Pg1gB81VYm E7gGwbye1zNANQpyst4ptgQOoGf0NWc6UQo8N5XT6OYdxt2i37hLn49Ak/EB x9Pew6DMvb9qai4ZVaNu6ciPkUCwzGc1N+QNnrp42KnEcxzMOS2nslzLkfY+ 3/LDew2gpybBUdJfAd8rSopMTMlY/toj779BCrS+cjXrGkrAibK8sJOsRJha yTX7G9AJXgFHD9s5poF6kfHPzx1fkeE0jK/OE+DkHmrWdOsQTvtonfRVIcPQ LrkYhugRdFe+r+e+OAzSI8yr67NjSOltSOs5NArON6KiGLX6UNd70EHcYwgS mTsnRDR7gNFETU/33luwUghiPqJGwQ+nFAUKNChw6Xjd01a2GuRTkMhy4+sE mx8audSOKTBT2RZ6TLgFDQ9uk7DpGwWl8yqv+nMqcOdZ7TfHFTowdnHEfFtg H1yxa1Jcpb8Jxt6VqjXSzVD/8cmF2po5kDDbWbz2uh0/tPI46jZ1Q3R0wJre aR+I9r9nRKLXBMfTu+eowY2wn21NjSJFgGsH2GnO+aXDUrazODW+D9Zl6N29 dkdilMZN5dHVbtT/OmJ2htAHOzhMrYuejqCnd8w+YR8KfFOgvaVD1wrn316x nHT/CZfn64bupn2HyxoPJFlJ1ZCwI2rjiCMBwjtfwu2ROFjJjNsRtTQNx5zG ucpriaibZCxjzzSK4TtOSFeabPXF8aVP/7GNoIDCpWqucjLUNeg5LyqOQ7jJ yS8Wa40YqpkZm242B1aOiWFD2IkSkWa7/uaS0C+ryyowcAjod/LdvbNti0sz Ux03kz1QbypS/VBfBUpJflu6a0GAdlMJ0cKOLd6YBnv/SaxGxbHYPfnSo6jl WCWUv0oGY6Pz5zwVJyAEv7J9mm9F70oTrh2+1Shu8Nvt6hUCbPITGpoFupBO PXR+k7cbUmfXXihSKTh3W42uTpsET4Qjs4RCKOiiyNTLzEKCkIN/h+/1VeOd kIjIy7IEmBG/P+BwrxlZN7cJl3ITgf/E0J+jRn3omsrhfzWtB97YyhKPyX9A 5UUlYpF3JSSwj/6w8+uD4+tGblGiBbjGEpo8kvUJbZySFPvtK8DURldC8dAw yvFKu1x8Pwg/GXjUn0eMAbX64C+hKgKSfwsaaP4lgO7myeJjut/QV4R/7hlp BPM0FZ5rVA+Bzo6pH+YdkxCscspM1a8Tk+8FP+6T6oIaOsMLR23ycZjmNmtt 9k8Y0rD/wPA4A4pjdz5hUJiAgAi5MDjWgRuXmS453t/Sm60Wi0/9Rxzy3vfh 4wMyUmjSg1bP9ULPEUv/fX+yMdL8kMlnl3Kwt4Mnro9a0PxIy7qaajPo6sl/ 3+0xgMb3DDIC/3bCtHVb7oeQUXj8fo8aQZ+IFe7u+5OpDWAauPOdz9tYPLzr aEBmfR2k9hMPZEvG4EmDrkTv1UrYeY+eo8EgENMn9R/61qTiEdrm/TVBRfDM NftfQN8A1jNf6Xo91AHRvrrRbldbwGCJKMeVm4H/fY3z/9o3CPWnyolHaRvQ jcS0Q8RpGCZyymtMLNowXJyDrzQ9F/xefl1X5/CBSSeb9YcuFIhh0S2w8iDg 9icHNj+FtaLpqcV5ha/1EG0Vc9k4bAIf1D+gp5sZBKY6yWg2sWnQ8B6za1ca QKeYACbffTnoGyrbai6YBRMXeAXfkDuR5nOcQ1hoE3C5xYm87+iDPHr23Hym Jkwm/9buacsEG8mEGf3C9/gNeux8vcfBKPCl1Z/lHpz7mcIaH0DCyBehRFPR djDorOHzOkBGx4F1yqPcdrgZZ/JUJqsXecZu/LY+3wpXNS4InzakwJV+4o3t ge1YpHKk7accCb6t/t4VwdeGvMcMl50vdeEL3TNvQqIb4I6ewu0X39vQLYPI VhFbBWoBEk4L/tOQsWO2mVuRhM5eAt+d9o0Ce8Xl8VmGHozY6VC35lyJ111e WW2qZYJ4/h62jQ/R2Cr+zIjH5jbeI2SXGF5qBRVpgvWP6mpUao0/zVlQhc2E oRPnUtPgezGnWLJ4Akjan3svpp+Oj87kP/CzbMOxpzfCHrWWAA2avtbeS8YD 936rjse1AueBMBf/AxNQyFXm/fXYEPZD9ZLzYjEeSxoh5511h+2PLQwFRKvA JkVxo+BAJU6/1+w0jg2G+qk3eWkzGbjhnxLPUdQHL3/QjrdcbUctZRm9XX9r gfRgNNfnXg1+9TjkX3uLgrKv09LvubbC6cZ/FvrlE7DXZbefeiMJs347BHDu 6QWxO8QmAd92tHn2+wEpoBCuz60rMslX4KmN3YFlZjP4eIPENcbfBy92bfSa 8Q9hLVH3YZl6LRQpa/mXU8bwkfYJj0j9dvh0oP/pNpNC2M128w2jTCWK+GyM b5MtgvOPxiE7swoFCFymh56RwbzMRmGdqw9Dxxjv9ts0YSurvPxpoyBI3BtR ule9Anx0TbukFRrQ6cUZRs4zA3A+jHZG7EIP7ll+eONEahvSJSWaFczHwOdu +WOxnyZA+M8OToYqCg5Xsal/zhtDh5/7+HxbW2Gi5j6HrPsQ+F3pURmS6Mez hrsvZ7NP4c1gWiGLMiIQcob1I0RGwV3T/GGMHxkLzx7aWM0l42xbTN7Ku63/ uK5pwna2D5jtFWZqufuw4uQ1inb/LH7ZpZz1b70TChTXHj5mHseOvLyof5UN kHCFj65vXyYYX+zcxvinGZ+/8fM6/moGT6r2X35A3w6+12qCfbLJuF4jwq8w WwwFZs2pKne28tzjaUOe14XAJ+Dp4LLQjsGVEgyHy0JwjM94o+TBDC7vnHGq CySCg/e5TiKOAg1NXa2q+TBifPzRPVt54iztYe6gahLS8L6syy8dASnrwP/E 9gyjv2FR+bI2Adf3XjYMfpyO34hlDhl2I/Di2dNck+3DyF03J7DzzzDIiQZF CxApeJe9oNYkoQ3WYjv43OJ6UNy03UP3wzDyX5laF7ldAuJuHnq1o/mosO/8 o96mamzo4sxsNCKgPXPxV7JnFjpcpHDXGQ9j+LqwjrZXERxge39g2zUS7sxX L8jpS4b/pvtCIt/NoE+K3cNnqgQoqUsY+KndB8Yaa6F3h4bQbvTjq8ot/c94 Bi9wtiWC95H4E2RCA8xqqdN+z+5GFhOCb1nWAJL0792hjruDR0DuevrzAaC9 69Ripk7GXYnMvla5o7hTlnZmZm8JzF8wLz2rWojJhLv/MuQb8V9Bb3z8jRYc 3CFpUXKzHNddDkQV2ZZikfbkv0yJBuwLqY8m1lThSJIsSzp3LSrPKn2RuDoO zKf1Qve1jqHWQ02JTxyjKMk+l/bIJweUOQMl9zO3IMVvbHylqwI1Gthpjji0 AqN12Por9378FVYVs0N0AAgCgUTFJTKGZDBMWd2oAW4nCoQTe/DVeZnzXKUj GFTsIuqplQl7i5eq2ZSmkPfqRLlFfRWkFVAtD7HP42kds+Ap+1aInXNVlBfp wl8szF5z1Dw8be/QMsNEASlBdgs6GEHhXT2K55rL4OtbDfrNIz1Ic51PtuLn OAZlZhCubOnS7Zro1G2OWiggwYRJTx9uDmkfa/s8iqQdsqrF0ynwkq5KLuAu Gdk8TrS3C4Yj/ZDhdt+pKdSaWSDSRpVDdUeSTqUmGXK1/Oo3F0aQ/ayPcnPI IAaWEl0vaKYj8aF9i4Y0FeUC/5sczW6Gk31lvgKKFFgtDHbwDB9Fi3LqDYO3 lXBTfiNJTLkfzQx3r8tYNuAIs4G6/5Em7Gc7USUk2QnmE2eULXPIOPLM75o/ NwnT3u63uvEyHRdVQvalBfRiuI9e1zqpBKOUsf6BChmpM55xOXRJ+D2Z4Q7j 8Wq44qjhyDA2gM4Mu6PHI6fRmRDWbeNQChkBMm85Xeew6Lmgvkvt1nfl0l0J SnNofmrHq8LFKlhYvOR8PIWMCWPvfjP+TUY38bWe8VkSlg6E23sZZWCKuU5k xVUCan1X4FJ62YhqnNz83M7d0Li4eXlGfxjrf8i3ctS3wstrxi8uSZJxP5/3 o/MCqfhoxUto7mkn5n7iJHTZBaK/DJetbX03XhDj5Ss5NoZedjMadXtcQJp3 Itrlbi/uzPsrlP6xCtdsinx9KikYytPfHyeRgVHzCw9X9IYxUuE/3xj6NLTu xRYnp8yt+zU+mFztwgsOm0enfsyiikztffrxYuDnsPieljGHfl9sZ/cwlcE+ jNbYfNKELkz6NgaubWh7zGTekkLEVDVd4/rjLfi37IgH2/EJjCZfO2Vi4gu9 Cnz2CnEFQBhbMZ06M4SiYkHJWhMjMDcu5/mGMokZG+84/uV1wQP+ILH67BF8 /yIq6v3yFL5sTnrOtJEEnjvnJNOoY2ieX5cgHhaGmVG/bJNuDWLC4QRPo45K VN61NjL8gwydf3jkZ4MmsD1a78Ou6Vq8PrLrPG1wB17O5Duk/q4PFCwGH4+4 jOHO8MpRmzwKJsc/Dz96sgTplFr4JswHITUvtkbKbBzbpEicoj5lkKLO3vT6 Ahk/yjIcbHLtxuclb+e515sx/QjH6sGkYRA2jduzR3cKr62akKoch5HtgnxT MW0JStSM8d7VrsW3TJfCshm68IYCM6MR/QJy3iLqHXlSDos0wbdNzk1jaahy kU9MIDANxZ+4rt8G/BLs53rzR1DaoClbxp8AhiUROxrmR/BN+fDZ/ZrOQGf2 QFl6OwnHbvM91JpsQEmRe7mBk104tLPjJIdaOrijpW6OFRl3DsldUY/px/FU f2VpwVa0JnhGSs91IKNN2YoHSzuqmQwGrOwdxdCk4FvvCKVIMhGsDLdvQ9K5 YeUWxU5MCaDJSzBqx4il66ITWz3LSOuqiHlkBwj9kxW7UzaGzqEKpjp+yaix wPuv1ngIK9zi+Bu4SGhvUFN/UKEFn4yv3rAdi0H3nQlxs1v5oEwvq13EYxLp L/585cCRg4oJMeNPLUj4ctCxYPB0K860nM2JUmxH7wDz6xUNXWhDXJlYWGrB /Og0Gj39Xrztd6hegLsf2+JpB6KsiXj4xeVut/AFDB750evonQmTjXICUlt8 6jyYyp/5qxRLRZa4u/Wq4ENf1UsFulEc6hDUZ7rSgtco59GPpg9pPS8vn9jI RuHK/eCduuUr7XTKFjJjmFf8ip3+YTVeVvMVvWIeiw+fhddkFJNR4QcfjY5T F3B+NbPWMp1Eh/ytjhNGRcGzvzc0T7yCrsFLC+OfilF+5Nt21R8kLEz6Q9ca WY+We8dSDooPYhybyiddsTpk/CfRzxk2iMlH/AccYifRUMef2JtRhsYf14eP Hs5CvhQ+/4IGMubNBMvSFPaiZ7lRRXNE11Zv8koczV7AtG/bywbuRIJ7hf+3 Bv84HBIn/OJooeCN83oFlBfNMHI3WvsG5wTu9Ly/48e/GQz9G6Oo1JCLJUWp r5d+kOB22obeqtUsqgkeObgrhYKjasHuezYI2MxE65lkXY8XWC/d+shCwutb 0Ur5ExVJ7zQN/U9+QkKCvM4B3im02TWWXva9EvN073RGsUyggXlxewzWodCH 3PDs3nlUvsi+q1UxDa3SwlfXIydQnkPV/dm+OiSY1GalrU/jshXPErNJGZ78 W2WRlDaP9HrE3KvR6XiAfpeb39AoHuuK8uj+2oJuy9895hXmUUW9tnZ+dza+ Sp+fJpdOoWDlM6MpmSqcc/rdvOA8gDP+0iYlAd1Y+Dn5Y2cJBWvPHDF+NtCO LZqyeWEr36C+7dARrr+juP5Q6vKd81t8ZuFtuuhZgjs01O8lli+gyjkQ4f8v Egt3PFHMu1SGBmJNmoNXhjHeVph9V0QfljPYHTJr7cMnIz2HrDrmMc9f+1aD HeKvy92qfYIDaMr0iyNzWz+mnVqQXt8k420pn39lDt1YGjFWr5NExONu9Y6D MySULp34FDzZA6aWsdM/JebQh+Hxtst7y4Ekxsj3xXMSdf4QWh78msCEthzG hu0E9PeS/xH+dxrZjsgVPlZuQGG52NeG9/phpLa0jAbm0YSj05pXfhrlzl4u d77YhAHtTBl9lFZ8MduSPf+Ogh/Jsmnh+iNIr8HyPux5FzpVJwXTfJtDPbpf v88H1+DFrycYxxTnsT9IYDBOrRoF470vk7d6aRJl31dd1SlkLPwWHGExj2nO pKzKgGr8yePxUsx5EfPSI/ckns/CNcGgcO22OWQj1u9isanF+l3bGo2gEWca ZlmUuofRNmOCzoyGAK5Tj2WXB2bwrZZtnsrnMpzV+ptIcR/FILURDVSohmzN T8YmBtMYrB42uLO6A+/tuqVh20NGFZGGKZvFLohTWfJ9w7c1d8PTXXsSPyK7 k5nnbOc4xpDY5UZNsiG/4mx6w9ZeCiQlbzB6F8Hr9+w2NJVTODr8RYa7GYEv z1DYxGIa28Rvz9WlkEBnan/B97sLODHVG/7+1RhW9j8asPzcjRH7tSMaJfvx YnULx/4bZEy56m00wbrlX7rWmZ5qXfhmsdQnR3eL38+M7Lltq9Hd5Fc94eQX DG9o6xNlm8SCWqYNF84SdL2uxTPmN46uv1+my56govLu5w//DDag83bGL9Iz W77jT1yW29aDycd1OmJeTaG8bhB36OEOtN9mnvR0vQErhcrivzCN4famm7FB 8/1QW3J//afhAo5Wc+kXS/eh0bP+MLeXFPQK4NB5ylIHJYpH2JaOzuFVump6 9YQ5DPIfMn+2uw2tymYFllKq4YjIuJaD1Nbef9a/cPHdAl5W1OdQe1GPB5vG Lwvs74DQL4pT82+oSFRZFJUN64GkIMbBrhMLyNb64A2PegGMDyUYdGvMYkpJ mfBm/SgK3bkQ3B+11d/vTnHfIUwhfWK3jFl/FxZyMdDY9Cxi9/nZ4Z76ajRX qP7KbbOE2mz32sPeVqK3rdP2+OY59PzovGa5px0XBs+yPPlJxSKO7YSaGwQs n5VqvXx9Egezqpi+R/XiRG02XR0hG74syY1Kvp/Fl6xW0m98S6FEttzyps8c Cue07rYpqMTJi6reJxQnsbrXnN1Ki4QBlNHjJu0UDCtMyYaeCZQZ+vudytCP ugWFTWyJkziyr75m91b/+uVrV/iPOo2DoZ2MG9iNIse9FRv4iCiydv6dq+g4 Uo9anHwXTQT1I5OOb6QWkLH2CnerAxUN2YZuOrwn4vza3keei1Tct1J7Pc25 Dd2a/rmW6A3him//vOrsMCbalpb82Tex5X9HDbhFBlHElt3OnbkW5KWeOv9W pqKwx+mBphdbvm5vVHNNnozsEkJVP5py0OPbhkGv6zSa/y0WZmdawDuaQQzH 9hFx28/4mnjGJTQ+31xMm9uEBR3ELq6YImQhH96rbz6NPaaaNi7PFtD/cPCC nVsbPpVW5Yu70I9hcx9/91iOInP5mR5dn1p84n9J9OzuKeyVHXV4tp+Cf0o2 ablgGFMcc0Vo3y9irRNZMTmpFZNUj0b8Ii2iAYv77saTBEwrWg7XTu4AFYl3 B5KtFnHoubPPmQuvoHBbgktK4xxWZD3xJM33wrL7l5JdsksYzSJnhreXUS9B us5RoRH5zu6NWA5ZQsN3pd5D0IpP6m2cDjXM4PrRs5ZkrX58rkk6vHh6BHdO rLlf3T+MXH7Dsbn80WAclnX9x4t5nEm7nZ1kNYlNkir81U4kVMgXkTrXQYQk p4elsl6LaNXsWP+wfRQbHWlwJnvLB35HNtl3LWHlXKViIisBU7gOqtwitIH5 A6sT/I8X8XjvsssWObDj7r9Gt7Rp1J3+aE8+WAGqle9MXyotYGK5S+RJoTnU 1cnv2RPVjwo2/bamyZlbOXJ5VPnHHOpXSNB0f1zCsStN65zUNix6fPDEYFoa hqeuhRpQ53D7g1f8bKlxmG4tfZDjyTzWPHgZ5Pi0Gm5ZbDTELi7g++lvBRqa bcDHXNsqvL6Ie+youxkWukALXWK/ti7h9oiLvITZSbzXePP8lzoyxi4y9l5u nMc401x1l70DeHGSfzjo1gLS2JKY+XJ7MLAqyUjFIA5C+W3f4hQVZXqe/955 cBz1bty+/rNgGBWLZ2PqypbwMdfzgurP7eiUHxdi9awKjG+evcQksYht4T70 bYsVkOFD+0mfcxFlpVnt07bmar6N1Ymxrwv9PNJHGpR7wVQhc1bafRkXOENP kPYu4x0WpluHatuR40y9jxgtFWsLf7OaWA2iJ/WVBml5HDMmuL9PTQ7jQcF4 643pRZwTf9ulQe5CQy5jjqJHC2go1TxVrtWHnwPVC/235qnkBTKW3Z3Y1beb MSezBa4NMxbTeC5hTIfocOZmKORcGNhD+3QBX8ec9TGQysT+n1f+NUVRsSdT dpssJQvHGF7dniqmoj6pbVvOm1Z0qXq3Wucwh97LykbvuZcwQYHw7IleL2aE sNu28yeA42PX7ON7F/G5a+RIQks97AmJ1fyeuoSrPFH3huyJ0F1u5rr2ehlN GFwu/9vfBe9snjP84lrB1KHiIJPRGtznN994npOKfklu0bZ7x1C5V2o+lnEc jSanthdeW0S+6CJVvowBDK3PjSwX78MvyqBwTWsGL1yWYVF4s6Xr45mBLAFz 6PBBf+oXzwrOkK0tT+V0YWqcxN1n2VQMKftrIL9KQkrb7Lu4NxWgEr9i2By5 hFbUpjbVuGHsJvNkpsIk+gqKVJ/Ymq9p7Co9b+IA2o2QKs8VrKDuV4f2QzZd CB3/7P3XltHYMnHqplwPXv2A9nnPR7Dpy+43fQyTuMnN6frVKwyzhDLOnFNb xP8BkxkYXg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{3 + 5^Rational[1, 2], (Rational[25, 4] + Rational[5, 2] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (11 + 5 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 4] (3 + 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (7 + 3 5^Rational[1, 2]), (Rational[25, 4] + Rational[5, 2] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (13 + 5 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}}, {{ 5.23606797749979, 3.440954801177934}, {5.545084971874737, 2.48989828488278}, {6.545084971874737, 2.48989828488278}, { 6.854101966249685, 3.440954801177934}, {6.045084971874737, 4.028740053470407}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.2484884, 0.3863264, 0.813373], { BezierCurveBox[CompressedData[" 1:eJwVWXlYzN8XngghhCgKEyGEEEKcCS2IFqEoBiG+RRKSaFApQkpKlGkfCpXS 7kz7qqZ92memqdmaJkoLqd/n908973PuOfdz7zn3Pe95RuPcNcsLk0gk0hfi z///84WSyVZlMiT1b4uuUckE0l7bRXMKZcgeKH/xTL8NaU5+djVeMqTtWNIJ c7tQO+8dJfSKDAO2bNp9/2QrCk3JhVn2MuRsmyKRvctE7TWHxgp2yVDpe81B taBG5H+xkEUtkqH/tkdri8IEqNr05ccvcR9y1vQ/iVVhotJFarhzWx86t/eO 1R5swrH0pmhOXh+SVlE0VlPeoMfsVJvv0X1ILXJbJ/8yCem05pxGeh/2+wcF aiwXgWlEY+TbN33o+2SS1UPLeqD2lO0yeET4v/ReZqRQhMpVN35WuPehw+h8 64oBLpLcLdSaXfqw8unaU5M9+yB19kqrR87E9zikzhlhtIPW95GKF1cJ/9me YcyWYGSd3O48/1Qf0nPkmx7lI1r71e+4dqAPTTsL1A+lSJFzc8+uO3p9yHJM Gmve3Ipuy/WWx6wi1p9q37/rXhLoxh/uQxUC938LWXInGdvsvFadndeH5sPp 0yYpFABj+IWRsQLh//5IWfVrKeh17ZKZ1Eqx/pjzzb+nBGB9/ei7jjwpkroE W0O1H6OSnf6R/lgCf+41ld19AqQtgpULCUy1tHkkiGoA8+s+kotvpUjj7z7z qLQTybf92wteStHajVUi4XaDydaL2xY9lCJbMz648UUDFu7hzNh9UoqaXXo8 7wYuys9ZvcTuuBTHeG2nKDwJMholxe93SNF8Fhgo3WOjY0e91jptKdIbq+Yu iygAVrfG1rl/e1GndeEBLq8ONLN+JTzv60VGbKzHgEYLDK6eP+0JgZP0at3+ nZECvfnr+syaXkw8oPaddrQPc27sXPMkvxfbthR28O50I/3AEpFRdC+SMtfc pFSGYaHPj21bdXpR6YFcmc/6LqTbnAsqQwlS0nepnTiRi+88i1u9syXIpFJn 53d/BqGuI3XtUwlST5++4aGVgjp/7A2e+klQ6emqfvLBPNTRUplm6itBj+h1 bzRZRP2Y3I8IdpcQ+bood2hjN2j7bOGmrpfgyIvW87K/PHQmG/yhaUmwfrRP NXl7F6oeeO9SNVmCbcXdvGUKArQdnOFwZESMjv4us//NFyB/qPLa3Z9iDKAW 7776oQJffXfwedImRi+v0lf5rl1QmbD5yvIGMfrGXil2jBfiK+fBmdlFYmQa DpNuy0ej6ZyeX1P9xDi4e+xZWT4HAuim0/JcxOgWsreaNdaIWlT/y8NHxUhy 1TP8ee4hCPeMm121ECPLSRZSUl6Og2dxvs52MdpOTnfU1BKhSYr+9PYlYqTt 2dC+bWc06u9TkI2oiZH+SDp0Tp2FI7csruQTWIkTOWgh7gBhFetH4HTCbmBh MPdhJ8gbDWWrTYgwMeT9ItVjPEg8sizCbVSEnJgvpTcFHaDTUv27o0WErJ97 hMO8QqDZHE2qaBChsCKavngpG30V9FTOJ4uQzh0LmX2Lhdrzpu7mxomQvXh8 gJNdgzqPbycEOInQf/e9bV4rxdDvmXKLcV6EpOdh1Kx/iWA6Z+uVLcYiZB7o Cb+r+AH0w6V/tq0WoXqwsHlNtgDbZGXk6X+FSPIszk2yzIWkcOPiuR1C9B8Q FDUF9RLfceSCaokQtWeUzzRazUc34WXFwgQhUktm+SqdKwTTX4saZzgK0UNj cdz2pRLUL4vqe24vRN82fW6Cdhum8i9O3DwvROGepwpfqiQgf65/YxRFiElR GU6v14qwNLux8McGIeq99A1fBWywt/VQH5grRMfK71FMHy54OC+tqPwjwJFV +75EhHFRtWxg1fksggcFKamzXnHAusvG6ouPAEMXlI0Jb0jBYzP3efAZAZHn u8lNtj1QmBZ9XN1cgJo9+1hLrvKB8fi/wTdmAqTZURI+rJOAVjJ99eTJAiTn j16IPtqIHmp9bdHjPUjR92WfXy7DttqPdl+He1BrX8HtGye5UN8fnfVW2oNe 1isCMwckyFbYbvMquwedw7oybmp0Y6rd/AFBWg+SvTz1Ok6WY2kJrHSK78F3 mlNVvRq4oGCcmswK7MFCo5t1vto8cOx8NZl7jdgvLMLthX8+khNa9YIW9WAo xbJJbNEMjIesL94KPchIrlfNa+hGfVLI/v5/3Tj2Y+mPAcLP9kPRK2VeN5rL R3TYz68C/RY15pQb3ajufFuhU5uHjpaeE0uOd6PrnPMZlK4eoBt8uPjRpBtJ 8reGAttDkKG7x22RXjdSCp7OfE3k06F9v+9hbcLeub7X9mgz6L2cxP0wpRvd XBKK759qAQefezZz2viobzpk5/Jehg5dO0ptSviY5H5S8efkclRS3qfjWcxH rVM+sUdS2OBoyqQZvONj5XKXZPEWIbDSI5+/cOOj/6Nf+7TeiyDn3rWTYdf4 6KETU3olUwCD+xPM71gQ/mZOwuvxHFROl4t6osRH5cX2685cEqAe/+CDaewu pL6LGH2k1owOL93U3TK7UE9vKYfRSvCtgXttekQX2n5cJXfjUy+Qz27yDvYg 1gc1nov52ggj1aw1k7YROHPtCvkVnahotWLZq2Vd6HWM07hdpwdKi05NmKkS PPkpqTpXPx9KsxrUGqYS9toTNEpYN7Dab8b9x+ehucGHlacafqCWe1nIKSYP fUNb6jNTalBPOHP6xhc8tN6/RXnytxaImaGiPs+bh15lnacywjjof0OeWeLF Q1KYi92WsFYcWzCx8ZMHD0cyPud/PtCKiTccfydcJOwpnIHmfbdQfsliB01T Hlot1h6Ws5BBIoNvJ97Hw3fyISWG83rAP8PP7vxeHoZOuswf7eSg4/ahECnw kKxyu3j+32bUuaT/UWEbD5Nyp72x+tEEOjbOe19uIuJvHBadKapD14DkMyqa BE/H1gScjajCnF0V4l8qPKRa/DGOtBEDc+fFI5eIvq+umH+0LIiDwgd6Az94 XMx4cCrmrW0X6rydL0ju5KJCRN/ixQ1iMP3AE9eVc5HZnB3uxY4Et2nGxvMK Cd2gXZx7R6UGHT+KaqzyuFh6ovGgUZAYdW/ucFuAhJ21ME9Cfwec5m61uIdc jCkq1awuE6L6qR2mpgRO6m5+u1ZXBjq/pbWzLnCRLsvTswyRoLXqgtDxk1xU 2vDXMYTgD1eSisa6A1x0ZCtVTBB1OjLb+txUAnPGth6aUkX064OeyaH7ucgI W7qf4dkJ6uO7khcuJexfVAsuXatE/eHIm0dncZEyb7KtdnMKBlTM/pc6iYtt mh9WHt5L1JfCCq15fzgY4LqM9M+lDxgjngeccoi8HuFeODKlC5WN0gxuRXIw KXQbPXJTN6RKSH5jdA4qnew4nNtQg5rv20Xnwwl/+x+9q0NakHMjztbgIgep TxPJzfxMrJySpcGw5SBzwidoiFmKfN3zu5mGHCxlPuBP3S4Fyq38kN97Ocjp Dj+/8lQ5KLOM08LJHHT+G5QXaCaE/bG1u2cs4aDqIXhjvqkJSpPfzF08hYP0 9GfnMsdbQEt3nzqlqBND9a/3LbNqQx3D7ruKbp3Ix6dDlSEycKtgR5os6kT2 tcmdkj0yzODP+a9R1IHKk5fOnfASgI61QX++RQeqFj6c6NbuArLHHq0/ezvQ /NEUSsuRHvRt7x1R3dWBvXbn1NXjZUCXhPAlpA603rt5ufNkCei0KpQcmWhH 0kRnoNmaUFDVs4y80dyOejJBrmdOAyo8daUyWO2oY5tJ8SN0L7X/4tO8snak Xbnme3fgPZLeb2kJLW5HcvmVhvbUOjSP0hGO7WtH/ZKuF1cOEzx0xWxfrE47 hta7HFr7WoRK2z/6Gcm3I31efVb22mqgvPDfZWbdRuhMI+PNhnXg3Or5SqbY hhntV9clLmJDRlUak9JK6HLNnvLT+7owY++UJf01rWj9r/nKSSoPHPqQgooE Puw6sfo+B8maYofcaa3IDqwZGQ1vx/6CyvHH8q3I/LOFW3C5BPodfF2P/G3B sTLpw+Xq3aA1+vr1kcEWNE9pLnwrLkBrnfbLT8pa0C3mY1nupzown/V9+uvw FtR5UfT8aRQbFHhlKlPPtqD/p94phjECYHfWD8aatKD9qObpbUocyGBf80+V NaP+qmu/bdsJXTB5x9yVjGak16+70/84HZW8m/OcQpuRc0Au++/MCkL3mE33 DW5GkmHODsFyLrg9VVXXf9iMqtcsdX9YdWK/g0LbXK1mpHBrz9eGcoBjV9Xy ekYz2i7f8bHbnQMU8XflzzpsNH232cCMwUXrsKLQSyvZ6Px92m/u3xZgz31I rp7BRuGRS6ERhB633mshx2howpz+46XHP4qx/9B4cHltE1K05f4LM4sB5jBV uj2lCUk3ChLWjdYB/UI+QxzdhKHhXlPv29dj6YUHIunbJnSY7Do6mEzMB6sb t8ovasJSXu4q850NSLu9UGPBQCMqLCJNG2bUYanq3Q/rehsxY9azHd/MxRCw 8Zts0dNGJGtc6puhJAA3jeKRn26NWL9q970FJ0SopzKFfvd3AwrDw5TtM5og tGDtlU3dDehctTvQZFoFWKsGNT6ubUCS2bT0acJcNOn/lPpgK7GvavGS0zLi fuilDnKbGpB6K0EDNGuBpb6ujaXUgNrmEYmVhC40/7XMkFlVjwrxG8xTLzYC Xa9boTOiHq1XKW9+cp6NSt3rOMEH6zHgz+CZxg9CDHjS7kmi1CM15MppDaKe yBEuP96tr0d509+HnafKQOtbh7e8Qj1SxlvWtC8m6vX8wevHP9Uhmf3fRc71 b6gVYjX89mAdssNHvg63C4AW5rJriFeL6gEZgmtz+KCTcdpmbWMtps6W35D0 phtGLn396FdWi8wz3raZKm3ImilLnhdZi75uT11oz1godBa9cXtdi85mSx/K +5UhPaxz8b7gWqw/tMQsdQeh3/68nP7mci3yfb6be67gInvNvlfDK4h4Roc3 xluXIvPtbTvFkRoUFqVIlt3thFLpP8Ox3hpCb94fnnchBGjyLW86P9SgQpfx loXPuoC2qPDS8bs1qDvGfB+1UIxk53vzhzfWoKreqMPyGfXAfOn0RTK9BmPe bdtjcakbStmH5/gqEP52x1f4xfbiyDy3HS6jLNSpWG8+IqxBB9KPwJQ8FqrO mL51zJLIY8Vn6dV4FpoHhTzyed+IwuA/d6wDWeiVEtpX+IuPDi4smepTFjK+ /TBhd/YQ76t1t/IlFtKU02z3uSWhcH3gQ/pSAv/+FBT/NR4CIqxCveVZyIwu /p42nehjG57NCsmvRue9Kz9PhBA6M+Bl+p2YatR7mBW8olMApEvyf9GuGq3U PPfWmYkwqd1t+fV/VRhw58tGpo8YqWmTv2TdqkLaNkPDwnA6JGm4nbtlU4WF h5f/SvDuAWrF+zRVuSpkLmh2DUnkACthbcLvb4QOMbh3o8GtBpJ6Sj6L7SuJ dz47ZUYyHek9v1wP21Vif20BZ2ZOG5B/3st8YlaJWrqxZhkjPNS5umj7f/UV OLKj17yjkuAln6NrnJMrsDTy9QWyURc4x/vXGHaXo2pUgfrfLGIO3/JBMppR jqTKSVeW/tcI5jWdxWTjcjT1jGOW5oiBLNz0JVWlHOnKF7jFuu3Q/yzw1J/4 Mmyz6ChoIubj/laXbWTtMqTMp3J2hDch7c61D7ETpUge33RGatqMSjkF1f9t LkXWtCOpyTFFQF3waYwZX4LkjuHMpwZVQL7Q8SnDgMAnki4GsZlAKdZZfUK1 BN9pX/31rl4MlElfXm59XYxaBQcf3lnRDTTSIZOdZ4vRwaJkaKdlDSjpeYtv lBUhaZBS/XHRY6TJtf0w+lqEbdNyQnzf9AAl4dZLl/giJMv/x3p0jknw8Zya uIVFGLDCnebj3AcBJVElTd6FyDwduyCjMw/N41cuV3cvRFL5nBIb9YdAd2N6 tCoVEu9lqq6Y14hJfu3rDg0VYOVpw8TYmm7o37dtic/5AmRPWf3Xp5jI1zb5 rgHlAkxdbnlw2YxedF7Rl0Wvysc22wPs74e70LnseuCRw/no9vrziiRTPpLs 9DSnp+UhyXjacOHHzxiQGzWjyimP6HuMgT5KKcGjvy2UtuahUmS0W8WePKAV zboZ/J6JpP7/Puz5HA8ch0OL/gsmsJUw9dclDtByFL9HvGBiqLMwNV9JBuZn DUPHPZho3axk9Ey1BkhTDmg5mTDR6gEG2pzrA5LcgXccCaJCYoBTLFH3dPGz hcWzETNcboeHs6RAp8V9/nT8O2q/6Q9qV+oCztCnDdd0vhPvjXMl8WYVUPye TQ0fzEV1ao784Hg3kl0jbyzzz0UF34yniVc4RF1cDKa+zEGtAbXgDQMi4Lhc TSuVZaOm5fKT7a8FSPolTYl3yMIA/WdGqqR6JH3sVE8wykKa7cRmaP+E1LZv b6c8zECK1lQO6XI+0h2vHJ71Ih1Z6yTq1s9qkWwnq7gT9A2d2xI1n6g1AenO 0fl48RsyaE6BWYZdQC8nb3UMSyPe99zuW3JfgL5x5VDZWComXnvt+24WD+gP DvQUhaQiLWx96b+LpUAxY7Tr+aYindo+8fNbG7HfsQsGf1KQobPLMnGBAOkB JeGNr1KQ8/NKRiPBh5SGauf/+pIxxylqpPSfBKj0gaS7tck4Jj3ozp3UB7Sj S2qqjiejyYtHJxSre4HTOPX5M4ckJM2bnDX3RyOSjlzM/Nj9GbUazAxKe3qA eceanJuciDrB2s6q+lIgqdYuwpUJqHSOk+ZcXQ+UxxV6Q48ZhN5/PuVsUS0w m/nzq33jUZ1ZoFFg0YfM60d+dryPQ+vL3sz2GB4wKaq39I7FobOR8rn39VVA W/roPWdZJI5xeqNPLiHqryo5wjSA4BUq609LYTpQnOeb65ykI+d40YFdXZ1I mqw1xS8+HL2Cfr02d5UhqXlX1f77wagwcnfK93iiz6cG77I/GIi9cimxUSp9 SFLevMJzPABJP+Z26/FzgaT4w+SOtx9y0o8e7hIQ2GXemSNLbqLjuh1bdaOF xLvVdNs64yxWKk3ivH4uA5Lmh5PDokvAZlz5br2LBSQ7weSrR70h5rDnwP5+ Ys4xSs8OCg4AzvXroXxzJtBmzsNp9QHgYdRi/PqqDGhWloqBtEDotXc7Mz2C h7QKyq4tQ28gZ3NM2NEh4j7pTZt8DCJBvu5Z2jQTYi5wC9tT4RQDlIcl399O 5iBNfhV1niwORh7mvC5y4wEt7fFWxpF46L/nN/h6iwSYjRa3NvxMAIUlDdUt kYT9P0bjoMknCN0Fxb1bift5khy04FYShKqr6P0tbwDy1R1ON9OTQG+T8Ze4 da3ISa6V2n9PApLKosHBgEdIWxP/6+uFZAio8K1fd6IPONUdq85fTAZnq1n7 Kq2LkTRCVTc8+xWYEfdMnpwg+DBRZQP/31cw/80bVrtN1JfJsZs8/VQYfLne 1DGrC0m3edKi/lSwPhr3NPJZI3BaeDr3538DHcPM8t/niPNHbncYYn0D6tef iSUexLtYnf9GJvgGbp49j3QfEHxw55xvuFk6oRNt/GVpXUARUINyJOng/Onh bJvuciDdyI/OfpABDukLq5b9ESA1d5PIYHom0O5/Ho5c+YbIv++TDbszIWZg TuWYQQ+SIrTqdGqzgHJa8z5SCf5x2eD2TC6bOM/2w6E9H5F+dfMW6uNsCDDw uOF0nI30infJSbdyiD6csIpxX4icSX2GuCeXyOv37X05rUgzfHnk9b1c0L/p 9ODyeBeQQh9SJfe/Q8btwLC0qSJISh0Tbr9D1EXf+WTDW1EQoBXsElvABGaZ 0emd1zKA1HrOvmZ2HpiXuCx21Sf0WcudEbN1eaA7bqnaUyzGpNQi7yDzPHC9 tY/57HoPJP2y5eTV5IG96rQPb/J6gfL8OsNwJA/0Pjl29c8Vos7Iaxe5KfmE buzX2J4jw/4TqeLmM/ngX7hWeMCSD+QXt5Is5heAqbrQ4wWfiF89e+5O6wJC JyVYhE2qQbKlov4uvwIIfcKkzaIR/NjqfvxtewGQlF+zGm2/AqlXqSEkqBCS trZYbtteieYlJfWs0iKg9O7W2WnFRKZB0aK1lcXw6v7MWE1NKZBp7fHK20tA e9L7BRXyfGC56hzRHiwBWvzAOv2bpUDV1vi8pL8UUt++6Eh90IP0M3UUsl0Z sAI6Ct6YthNzdXSgJa8MTBe22QnpEmQewxrLX2VAPRGZEOwmBc6i8l13V5cD JW5pSXxGMSY5Klk+e0TURQxLbqKzBai5dia8UxXAnNT/ZRq3Hp1bpt0uC66A 3l9hX42cBKCU9/fA45AKGOFvWmP8QoKsP8eU9WSVMDJaqzqT1Qs6dWRzR/IP GKzztFMk8pt0NlWc8+0HsKy1HnHke4EUJGfi9KwKdOaVe29pIu770c3S9W+r wKRW5+eyRmLe8l8VciOyChTWR7cWloiBucAztfJrFdGn7Z2+vCTOucmpbWNh FShx+3iHePngW1YUMK7DIng0NudoST4kyV8eMb/DAn3Bsi/PmFwQ6mgFyFew gCYZcbc/m4vCkgdR21tZoOQyespyUjNqHZCb4tTPgtDDUevcG5qRmcYXfJ5T A+Zycb/CygpQz1D13oslNWCvNWXVxJZucDg3OF1Duwb6r/xsvCySINtUhe62 g8BF5k3ne3hgbt+e9/gY4b+E7xH9RwzUzmz9vSdrwKpjwvlWhhiZPqRyY1oN WMONOIV/MmDb5UwX+dUAVR4KJq4h6OjHBI9La8CfEZ21ObALFMgTkx3P1AJp vqOahnwm9g+g777btUDZvzdqYHE+kq4YBsf51YLXuJOTX3Q3+p6PnZZG9JW2 BfcW5d3jASP62bdKcS1QB2fF72YQeR473UOVqwOlwklFyWsEwLiexfBaUAek io3FF6xYoCUSuzvuqQNtR32LUhWCH48F8kqM6yDGZmzVWmoXko/JH600J+bC d2JS/I1MMEmT/PUvqAMa9Yly0J90ZLfs/fpTqR5698LT/UdFyIiL+rJ6Qz04 ZJpXnaQR+v39nvkT+vXwKuT2ESpbBLSAde3N1wn7voNOUzzEyHLoP+LoXQ/2 O+XYoyv5oKTanhrEJPpmb2DDDzkJOKTkXq0rrQcdpp7F3VhirhlrKLRtqwfX B8ErbzkLkV0qTPvWWw9krkGsqnM2cObuDaZMbgA97Y3rU9tawHyp85ey1Q3A 9Pta3OjQiloSTdre7Q1QeuF56uiOJmTS9pyI/9wALHnjrYfmtxH1Wvf1QEED ZLhSuyyP1KGDa++yqEnE3LiJpOexIRlVF10yHl/fCA7XdiWpze4BpSV+a/d7 NALle/a/O3PZ4Ps52DqIwKErU+7sJTUjY2foWrOORiD9W6cWahgBqoHX9/01 aAKWTlZsxJNiKJWh6R7jJlC9zZk5LbIZ6RdmLaZfIjD74PEXwhooTeSoV4U3 gbmKGx1iKkHpwI2gh4NNQKOvVlvNf4l0js2x+aZsGInmHjujJkLOpU+PKq+z geU9ulHZldDPWZKtv9zYoNjpqLz6jxBMuGmmszzZILz61zynvQ9Y7vsYKa/Y oPMsZaliZguOqPhur4hng5bf/KGIoy3IGrs1kTylGZhDCvu13GKRpOrd/Hl+ M1CCtv+2aBNC/wC1Yc1oM5hfkmgsnagF8+gHsaoHW8BZavFpR38rOMvFyLQZ LUQ9uavNXSOB0HmL039Ut4CH06GrbzVFxJziovCnvgWUD6R8e0cn4k06tXnn nxYgfX4yLKK1A+NSwIDntFYwZc/J6ZgrBSWb8cx/9q3Aea3c2CipxIxdNbfe 3GsFUpeN6UhoOSTtrQ3RjWoF1TuXOuN4neggiux8tb+NmFNYe5iD8Uh2LAv8 fbgNmL791AHdJNSzaMxacLINaE0GKY1EP6BJFGIDzrWBiUommzy9G008Ki6X PybmNkqEccoCQgdMN2pICiTWbzpwz9P6LbAm619N0WgHvWMnmq4uq8eA00Nm Q+x2IOWWDJTZPCLu+Xh2wXA75Mzt/ch51YOUHG9j+qYOoM3T1b6l2QpMx/LD Fgc7QJUZ8GzSDIK/TreWHaZ2QEbjJ0YINCE5o2CuUWkH2DOyrwkShaDTbLen SNIBwp25kXQZF50/IV13sAM8vAPfxBrxkGq2wLNMrhN8a/Y8uVDajkpXJe6Z Gp3A5O63D/iRjdYVw/dtNnUS+sH8zw/VNkwaNnTgXu0keKL6qO2ZRqSpnW9w ft4JzoxbKmyPInDgPLxXnkvY1fUGjjMF6LHaNSF6Mgccju8xd2oVgbILWRi5 jAOkq2f9Xky8BEW3ZNvlKzjgnLL5+vlRLtpenaJ9wYoDScYXy638OkG/cPDu TwcOKBgL6urSiPOEOyypu8aBmHHJPGm2DF3H9r9L8OCACWucM7uiB9qCfPgO cRxQmts9qtzFR1e3Dy6COg7Qwyfm2pbxQW9G5lmXJg4ErG4lzWGWoddjr1GT nxwwd2/fH0PtBPI2b1s2ga24ezxEXr2gfsBd5fokLhTuc3zRkMsFZ/1JukFq XFB9REevRa1IWbGyKE6HS+hg1Zlf7e+D18QCr3wKl+DfbzlPtrJgzGZD9kUz LmgmpJoe5vFRGHnGSXqKsFubKr7sk4HJ/rsXOReIeN+z7dXLG8FXpOB+NowL 5HsOw9ahbUR/fe7Sk8AFJvmWzm2L70g+o+b4oJDAKu9my/skgFXqDF5mA7H/ jDnm3t1usH/JOHXjch5xv+mGkW7hqGtzOHzDOh5UKobkM+Z1wdh2lfwFO3iQ cVNhC13cBEqt6Y7XgAdWl//WvbjDQfvowIk5hjyo3xR3/IJtL5SKX6xOO8QD B8ZJuzsz+OC24PZ20nEi/sfjOW+33EDdKRdb9tjzgFOQ4+t/NxVtb2w02ZLJ I/rqQfHVeKIv7D0ZVZ3PA9U1Dgr9OR3A+ZKU6c3mgfLMSazTIMEcZmL61TEe 9J/2eHxsXyOqb5IfWjVB4JWSvyQBE/qv3Uq7sawLlN4ajl4zqQbzZZphDA1C t/ZuXKMWl4omr0inNLW7wHxxUoM4rxzkHfaPNe7sgkq1ghs7znaBh8/h6qkF XaA/Nfr6XDUZhNqmbgws7CJ4or1Bc2MPVtYtVokr7wJq3YWw9hPVKHRxyfGq I3QJjZ9wfVkh9vcuSfbjdIGwyETn0kgT6vdv/rZa2gWpVey110jdoLhUjUed xgdXi5sPpxuJQdto17FYRT7wr5+Lu3iCD9pjX9+YafGBOXpR6JheCKnZM8/U 6fNBi18z2ciuHfX/RsuyDPhAMv3qnjbnG3r1bx1fY86HyvFCzPotAddF90Vb Qok+90v5OWWM4N+NT6hPUvig6DzlQvNzCTqoh23895VPzEmtu9whDYRKD26+ +MYHnYKKMl+i/urdk5fOy+eD0FcuzvhuH5jqfVx7ooEPFHvG8c8HCX3j4f1J rNYNnAYd69bGBmirOjmPTuiYpC1vHxw/xwXXrUaHnC26wfyQ7ZmOCSmk2hw8 JArtBvqbQ+9cifu0ZyXusIwl8Fqze4c6CnH/2tck+NINGfOm/fyX1Qzso09N Od+6Qeml98GIgz/QZLaKaWxGN5ADNVgW/Wmgub1IPjSzG6z1Zj8z396KjhqL ojcTfTLjn1zuuJYIQ6de8sza2QPsS2L7V5WtoFfukPLKrQf4uWqRqUF81J0X qDLjSQ/0R4ScXrXqB9T/Dp3OD+gB0rfl+3O4EjS55WCXntEDijN71x+NEqKp fPLTs9VEH9Z7xFJay8Hec8yHe8U9IPwQdjKTVA/Mi3O+Vc0RAPXi0/EXF7Mg NOIQyX+BAFhCm6aF2AFenpQayiIBkKink5u++YC/yMctRk0A/OPOiTb6IqLf BIY+WyEA2pbCY//SGkFBtscqT0cAJoqTuRNGTej/NQI3Ggug/82F/bs/d6Km zeikPYcI3TzLlf/4bxv6NnmcPWUpAKF8fuR2d+Ieh06UPzgjAPKbsgek9anI +VP1WfeKAOinnLPWORWiyUPXXEE44f/qpcdifhew/Y8UqsUJwNbNmv5pphRs b3+1aYwXgGrS5hCHDDG0zWxsbkoXgKb2Z2PRIjGS1Z0/vC4QQNLKCv2nUU3A SM+/p1AngNK1GsIrxL6O9VHrZswidMCBm6oHj8lwZEFkBneOEFjPJm1aMLsO WOPvr9ssEALTp332/uWxWCh4saFbRQh6Adfzb15uBO32h6+2LCfsY54kj3E+ cpw/jAzuEQLJ++s5Xc9qZEQdibI5LASPy+Hbwy/wgf750qi/mRDI4ZTCvZ5V +K5n4HqIuxBMZ2i9yu2XoUKT48uMECE4n71hMJbfCIpmW60NQ4VAObRx3+PT AtDpjX42/JbYT+1htLGGCNSLyGDykegbjKPtMWOdOOb9RP1OIaEbnr/c+W6o DanKJwYE1cT3lq088UJRhNZDX8aVFUSgX9kSeU7cBbQrw3o5V0VQb8gf1p/O xfrdg2aXnEWgsNfhtJeVAPxn61TO9hOBP91m/Zdxog5X+S4cTRQBfUvw1aLa KhiZedvw33cRmJI4G7yjOLCf/09oWioCUtPWwBPZHaC+aHQ0t0ME1pfdHqwK F2POsSsaozwRaDE1jTQ/y0BnbKHzax0xkPfZ+65xb0XV36vWB+8QA8knIfSr 023Qn1auW2MoBusomYf7/m4Uvn3/c4OrGAbllfjjir3gYTJyKD6YWK8vYj+Q CwK3yNMWNtViYIdSqh749wHjSarp5TpiDkmrSrRsqgfbrLl6RcRcUuhAoTkk CKFUaJY9d6YE+sPPzeYYM6E+Wa89c4UEdKsLfC19pWA6bjDfaJ0EWKkbqZ1V fJBfZpS5bpcEOO97VrqFScBcgbbyrrEEqG/XhItMWGg+YDcy844E7Kvp15NK RJBouOPD6CNinfTLihwHASovObvrdxqh46fMP2I/j0PUv4dRYpYEGLPmaAy3 t6JJbQbzZDXBiyy1r5w4MViVPDk7wSb2i5ZGufQJ0epBwZQxci+YHPveKbRk 4Tuxekg5hZgr0yJXvU3mYsZj/eLLlr3AyQlf5dz8FR19KgwO3CTsCbxb/KEU eBW281p2YC+wR32kd1pasJdc+rc/qBfMLz+nHdxZCKqTll86S+8FewffCwqR HNzPqJphm9oLqaMvZY4mMrD9p/UmL68X9Df2eC5liEGx4dX6S0NEfF0Mflf6 DH3frfd7NF8KpXdE9/q1+yBgxdsPd9ZKgW/0+vjKj32o+O0V5SJIgeE16X3t 5XZ4debClv9OSkF/z95av5EubPM5cS3DXQoxci/dTfv44D9sO9pLYN+bO3cv jhHiu/DRN90PpJDjttNT+o+L1m6NuqEPpTA2xL58lyFCq8IT8gUfpRDglZmR vbsbk8xKT3DSpWCeWxN7yaoYfXfReY7ZUnBlzl/ZMJvQS1+m72rII/bnmK2V cxKj+gILq7X5UmD9fpDee12CiSnFPzKaCPzURONfYBOSTlq8WN32//hDExrL eiCx+v6kzb+kYP3ti7t9Qj1oWcXvufhHCkxL7Rb28mZwbra5Fj/7/7/LJySX BRK8pJ721WNdH9CYn+Zv/kIHec8EH1udPnjnrbx1X203aA20Vdfu7gOS5o5g rYp4NFcLiDM82QeK63X4e4ckSKN2aE987gPKhhBnuyQRCrfNlCMh4W+TAu9j esH1cVrtrx99MCJjXL08rxYYr2YIyVwiXs2ruN9+3aC51XO70s8+UOj/gNWn msGhtGNVAEkG5kf/lF/bWg66psuSJi2Qwdi4j3GGvhRGJjY9Za2RgVuHe+aO JwJwVmmgRx2UgVCKUzxb+7D0bGWPnBnhP7BpaL1ZHziYV2+vDpOBcs6G4eey XhxTvhSd/VUGvf8NeZfHdYFu/cInykwZUPVOZEyTdYJ5Ten8gz9kwDwfsONI WDUqBj08vLZGBq5Xc1ib7KWo0NX8dH2vDMg1j9J2ctLBNqJ37dwJGSSZTlnj 874R/gch+SHb "]]}}, { RGBColor[0.2484884, 0.3863264, 0.813373], { BezierCurveBox[CompressedData[" 1:eJwVl2c8Fe4bxlUqJRIplRRtkgYq+XULyWiIjEqlsisrieyM7JDIJmQme3Nb 2fNYBwdn2etYJaP+/m+e583z5v4813Xd34v/mYmK7kYmJibj9eP/92tPwebd fFVg1B18aN+GWeB18fqhvdiCq4Q7SzyVC7AQeCi+nNID5y4ldGySmoLyk28n YqmzQDvmQg/cQobv4Q1ntpTXA8uk4MTGBwzgbNtfzxw/A0KFk9ZjolQoaBwy aWiYh0B1uwGmvX0QPf9IwihqBpL/bu8n81Nh7meU+6upPhgkBuyrVpmEyKH9 319LDcJGkVXn/Q8mICX2XzMUjAJ9+kG/xs5huKI03V50tBPS3n70cBedhvcb Xgl4ms3Dt72Hwx5H9YHXg992gtnFWKWyd2vYiXlQ/n7wZ6YeFVTSRjyYQ8Zg i/NjL7vDdbCTnVoyIseAXwU7i4v5h+BUysi+I4MjoOQxkJVV2gS/WjuXgotn INtt4uHDjCJ4x/SwYXWNAdrR+rf+cgyCm840e8uGCRCd0152ZKbCj8+jyswO Y7CgSB3QfW6JOhs2hdv+noXbUTuqb3fTYU/pBMEmbgQO/3ZhHGWeg9wg3Xgl /n6Qe5Bxz5EyDqJLBg6Z3TTYH8u4HyTaBHPS78T7DszAMdab9vO9XRg6mzPv PLcAZmzfjiQ3VaHP8evP+3nmoe/Iq1hOzQkoqy8Oq9OjgWv0RejctT43a5B3 vkQvZH0UUXLVpAH3hJK9as0IvKOG7Gdip4HoJUOjgekRyOFI6iErMkBrRvDj n++D0CvRytaePwHEy0xDbVZUGN/AohTRQ4GP/w5EWCyNQOZEgWHajg4krtqd X9i6AEaaCUzmslRoldn7Ud9uBMp9zuWcSJ8DHecd12YiiTDMxvzewYgAvFIH PKqfTYJi615KBU8P9t4Jqf3zdAGy/ua7Mh1fgIGTzG6Hn3dAqxaj3ft4O271 +yszYzQPtrxSQ14Co8B/o1UsVJ0GS0o909W7ysCSaHywaWYaOM9pD3uP9kGs b8BP8+VRSJ/kdgjaNAl8K49upzWTIejK0cagmh5wpV8TMjYdg6Y9rnuOq8Vg EIvyXXoRA2RVCU4fnzMgsFfKYbCqD2KGLg86xtVBRMaK9xrPFETpHxO/8TUL WA+Kx4oLzECJ85RyjEs3vtp6bGY5dh7GVUyrfe7Pw5mQ0+KLEh1QG3D8bsM8 ASOFIw03zsxBffzZxKnlDuw4K/FuWXAePjnsTbf0ycNtlSt3rVfW9bfhsn43 yxwIvAl9ykrqgqxGCXtNFwpwusrNze4bhmWhwbkXbXQILy9d/H2IDktiMXqe tykw1fxMIHTLMJDZOE/r7ZsD246tIvJf1n3R/0WreZABW7IeD4r8R4QIenLD /soemDeB01X8o+BmHLZ/u3AvWobECHLoz8MKn1voZ5YOPGshPHz83Rx88FGY 1TaeglpxjatPVEggabJjY6/LGOy7ejd4WZIMQyInDqy59QKl1flO7sURcL7n TWEjU+G+fGkDg0SDxtPUM2cSB6BUZmt3a8sQ5Cq/HS/kn4OBG+YXbkq2QzPx uruzdz5w2aX++1s6Cfx9tfKJDxsB1GZ189THIXHHY/Zwcgee9DnrUCc0B7US RwsbGzvgxEvRXm+5UaibLB0255wEI/+TviubSdB/Z4URa05E5fcpLMahc8Ce FxrL9acNry6aP7BMnoXDjyRperPteE3jng9H5yzsllJSyO1vQ8VXmemXbWeB 6U7e2bsC83D4R5XzxLtm8OOfjoUPvZj6ejJeLGIO4Lfg/GrlPBgoRlmrsdYD m8rhnb8j6mCPZUavnd8YPHQUY5EZ6QPTHB1TN8H1HFG/1b3RhAr3pv79PORP hV1KyHTfYgJIbr5uffq90Jfk7+/QQYE2oQ7pss9UKCEfIHjEM2DjrxUicyMB MqzhosufTjjmuMTFJTAM1f++3q06G4eVBKZT2WxTsCPf3mqCOA6RYg2XmrR7 gPn0Tr3lqBY4SR2XYOIagefX45dMylrh1QvJqnGLYWAmadNTu+uQbcqyI3V5 GgrXBOrP+jBgR6h7Sd5aM0R8IR993TAOgrYtowL5XTCnYbfKFNwKvs8ZecWL QyCuEe0gt0SCRCFOl1kJKoT7fvI4Fza8ni9Rxx/29gJVHoXjk8shd5uX4qbP I0A5uMfy39MBcB1tfGd6hALa7z5ai7fkQLTi57dasqOAntL/nbYbA0mDWS+L 811AWDSnGBxVxY7LR9kL0sbg2Yzry4NAg/EoqSMkzn7ApwP7CmIKsJT7yDGr 7nEwrjO8O315Fk5GWu0xplZClaM9D39LKphv4baLIoxA+wWpJw+spiB8Qdr5 tHYzbNcS6CU9Wd9rigdFlg9UwJjcseYpvjmIXjM5c+9iCQQ9Kxz/dHAA806b 9Y4HMKCmU2pabFc3lJa+inQUpoDiUIXiQc4JcGy/5m9woBXUY3MvmtBG4GWh oYFweTt8e1C0/e+vSSiW0amwFWyAL/Jim92LsyF8tJ8QMTsEz1cNf222ZcDp G5PK1aHloGNkd2S8uhV7KhZVdBYn4Eu2ZdfX0i7guM41NGdBBi6+Bzsk23rx zMOT160ipmHIkCvt/DU/uH89jhffDUNbLtfTZWUarErMJmwT7QarK3p219ry oRD8X0k00kHAI8pxao0I1cG0yfAv/eCfEGcnEpMPHdXCful/acCjvwtUFAex ivPo/rH6aXD95xNbylSO+06xBVVxjUJT/ocN0YllOBG7zUN9dQQuC58Su+g/ BYEvWq5QzcvBt2RB6tvLNgwyGTi+8ngcVL1UBHti6UCN0s78WUeAD+e+hmk7 k+HMx1eiTI7d4JhdfODIuwTQazQVjNWjg/PzvV5HNpDBjzeeWWGyGz6l76ub WKBBuUm+9V3VdjjVZ9TQrZADT8PSWzucaCA2yhezYFIPTtWJtCesFPDfWztf cKQPy8paOsmJkxDVIr+3qa8P9B3/mRS/7wE7j9oGEayGrw8aghrlKdDFHeVy jkaC4sFt+qwHieDsfIZarjUONxVU5yy+VgDzskjQi5hZYFwe+C2v6I/evJo7 OHvr8K9bKbm/cxh47IyM8uLXc6RXiuvDpm846HYjQau6D7K/FXwcKe0ETx81 u4/DFHBvLeOpnG+FZpuRbYctRsD77V/aqHcV1Jq07jgXPQq7lXgNhuLKoT7p 3+djOv04mNVJtm4Zh1ULJXmn7HcganI45pQwFYw23i5Iu/YdCRHJjl3r/5wV df7arsJIvP04+W98NhWEvfIy9h1Vg9tXKaLLO6mwcWezumHiOGhfzsaahWy4 vXcT+b4UAxw3LTdruH3B1uSxxMb/GBAt5dkluTsSZbm8HF7pVmD+8GaZ/eU0 mO4PMdgVPIB8SlpCY21j8MhdmqwuPAGJP+DFKf4YeLl13HmzJAHub7M6GuzW BQPV3+zUNk6Bo5dLkrbqe/y64UDpRfcYLFv1OmO3hQLxttJnl1e70LGxkn/j 1DC0/xUp8LQfBW1TDc/ConR48V9bwt3JHDw/FG8UnEmBJ3d2ue0Jj8ZPsUWG mVlk2ODK/fXTi07cZfjEKPvUMBBFtxptdiJi9gVVH4HZYTheG36+Z8sAEhKd 8miqoxDTnJk/vdaGHKWOr9Ns6XBd2hiGpEbh5BmFV7ZP42B3nK/BL30CsmUf 8NjnRIeoa/YFD3cR8Kg1L+9NVTp4fpXcwH+6EQXtRU9PnKDBXFn/wbCsdvTl ytulXUCHs8wHDqhxUWB3hrxL8Donm2noOfnxU+B0CZiryVeCZZNb/yOeCpyp qWHwretNVV/lybG3w8ARM7txKS0BagI2lk3JDeD5gyz19+jD8Gr3kJX8g2YM XNmUwm1JhdTVZxVvmbow4cPFx1JH6JDvFd1dxJuANsz6n95dIUGZjJamzUQ/ KtKjFy37huCGxcAFns3t+IBLrFEwkwovfzEXrtg1IDlos/6YEAVs0jwXlY+N Qf7FxeAxwQQsb2kOX8wvQ2OCxphu9wDciPy887wkCUvuXFD6L4EO68bbfjC6 Ge9LxR1OayBDodd/eoeO0qHsQtlXc0IQ/Ojs+1R7ahxYCK1+y1q5mHGnKCDZ egZSXeUUzO1qkBGnzHU7tBKbSAfflVwZgPb6jWJ+jh3IR+WihZ2gwtXq0E69 gClofHeCusWsEncc3L3zTzYJxz8MXGm2p8PzS1fuO2RX4Z8NVz/t2DoAurpu 7QNhtWg0/yLVZOsgPGU6Vpw+vz6Pif+AdHA+Fn3OUT4tR8YdR5c0Fkl0KCIm ndJ1qgMj0bINfrwt4J0xmyFsOQOMAFnWkIF6vKVqnfkmrRNEKUWZAwlV8PRn GKBRDbi/qk9wD2sBDitZc/74buCQk3kjml4OSyVTfUyJNFRfmznDETAMJS71 ea25NHA8Isfb6GmBTdmFzVsMh3D7Jc1T7e4jkK92/e8j5hqkEISexc6SQEjK LveBBQXTnpa/QuYhqChcZGLdTUXNbjVW4q0hUOJLO8ZtT8XjKS02D8yHYLKJ kDNCI8NZ3WRqWVkUmL1RjjSz6EWbCubVXW0U4KKZmoQVjsPwkU9dx478RKKs 0Ev7v1QgbtawlooKQ14m6bd8WTRULM+RNrMagpOK9vX1B6nAtK9bguODB1Ln 3z8lqzeAE9+VCdcHtXB1JvZFtEMdLO4RbSuarIWVmKQdlk79mHIDH5v/oUDP 8qzZEQ4iVkxqP/LXIYNgi1X0Yf4OaK6Wuvqvvxg8CBumCrR/4rvGTL2aFiJY nnWX37CeOxVLTqYmJ1vgcsUD72GNJtRx/gcOzH1w7qfrI6I/CZ9v26JtbUmB lwNNVYwWChYFOoZM3qGBQr79HW2x9V4y5/z9T005vlPsJnnXfYHPfp9ktKZa of5ixIlKGxqkCf9wDdiRha9zz+fLsY5CmItd7eTbKhQN48gtbnRCQV49ovar NhiYXrp6TqsIhITEu3uE6yH1ZVxY6ywVbsaz5hgoZeObKysy189SwNYn66v7 lSSsdN8iOvmzH5Ql/TTN/Zzw4VRrTT9pBCcjJL5Nr/fNyk5F25hKKlqHz4Ic Fw22c5IbDIKmQJfDSTmvpw2vNxQ0qj+Kw/TdvYoDem3wdMOSO0SOgHqI5OQ7 SjU+b4g0tbHvAdNZ6ZgaSR/IC75blF9KRRazDGkHTyrcZem55HHYB7Y+8MsL OtIEPER5UQnaEAqEUwq/nqYDE5Uc+2B6CKrz+Yxi13vfm1nnQ4HmHeBicqhE xi4R4k2XLy5Mk5H1EeOR5wUKqLnvKr+fNwK3Q0ry1y7XIVcZOaHFahBWFT03 D1ql4KCGULrrhipgBD6WZ/cuhwov4fYNd0aQ4Tu/dLmQDtwbYz+8dyUD79u2 yJSGTJw/8nrzQVUKUEskicJDubi7sGbLqQtTcPgF32vjD+04ln1LYVSwHZjR 9El9ZQKYZw44Bh2fBPFQy8C1LwTMJr6wJxm1Qz4gbdAsBmyNtzL6Q5pB+wRv mm1ABpRvP/PsBuUTPHTWKGyYqAFzZfvJIP8RCGdvZRGaa8J7bj7/7aER8GXV TdYhiy5QLbywzWyUBoLXTorWsdXgzYv3Yhv3DKAFz+ePQpYkYPbWsvD8QwCm 5wcVb/FoYqfLbU0z+89w3r3zpunRKiDTjucIGI4Auz3B+P6VVpzq3+pEGpsE avRWLp6aLkxscshjaLQj9UfSu6GyTgBZn565vSTcUCI80oi9ELfsu9+/aBLa 1eSaRmW6sejfXvZiaMWDLV+7DmxvhwNJ/mLGFqOoNSbDRhikwgXtnX/PjTmh joXdj86ASij99Sxsm8cQbrrlXKCRToZFWePvDm2deOX8RPnjvZ2QKJ1z2zep DStO5oyr+hHgYVobRUWqA1/kxe9ubmuHm5fvVzsd6AURCTU3pbYi5LqhOFls Q4e68FupJ5JaUHzXtZ4f9q1wtFXQbk9qBOr1xt7i7aCgsfoqn0Z3H+xt3tZh EtAL2WcsUnx8y3BRPDu7fGGdI7rf7jamN2HCN2cnKcteFHZ9I77C0gWBoSc/ zSZTkFts2aHuTy+c+ydc+/xyB1Y55W/wkCBAxU1nHp7YHrS02Pl9SbITKE+3 Ktj1pcNZx3djf9VTgM/QJj3JrhUm7mseG+HOxP7yb2iWlITnwlf3P7lVBByB CYP6JmSYrtZSWT7TiIc1H3oZHydC0Iv/XPROVWCuPSuHlwEJcZeVm8FIB2B6 PfEULwHaTI1/iw3nYW2KdGRr/yj+sBz8scOdDKubq9pTOfpBuvzG+yDhunVO 5S0ISl3nd5YVbe65PuThT0kwHfPErolRX8aBDLAfCMm9fn4MOC4MHiLY9eB2 BptMu00VzPPe5fmbFo/xwcGWrFlD+Nc1QWNNggTx7CVm2YRx1Ka/bPrBSYHX RWUHZj6s9wEzw7xnxkRMi7nMUxLUAVYXOK/b51Wga+5zp0eKXTDB7cJ9o6cK vYKSi5qIA5i9jedM60o75D3gq9u2JxW036t/ZlF/BLxn7ER5awqAukKpY70S g0XhOxb4nAbxBbn+lmRMO3TYyjw0qqDhpoDDIeLZ3ZAaFnKj+yUJH7GndNbw tgGN4+FBw3wCLIjwZrX6VuG9EqUjFCVEL+nU4La8LPimS11tmh2FtZAbfgFJ JFQ0ZLm/OTcP7Kb3mewZSMaYA69jnsQSUam3PIj4sRG8FYJ3symSwft1xuvS AQIGurav6nC/hcNV8q8P7rREZ50CA+XwERQvm0eFlV7QbX1z1UtmCCZmT2ZW dRHRvqbAu8MmDz2ijgvY5iVCTe9ZvucSNGyPOnSVu7gTrn29W/NYeQhd3oiE 64x2w7Ac25GpXgJsts+aJF2sxZfnNbWsvtPQaeMV7gu2nfCxmZdJpz4fstnJ NzLKs/ASt8AV1W0D+MvR+b9dcy1AIyR/WZslw2tVrptPlzswP+GByeJMPShG 5ZJl/CvQs9eM+KyrGnlesspG6maCyrHpm+pWI8Ahnrvl+6l+bJauZ/12gY4e gfsOXN3TCeyvQmIzDrYjU4FZdoNCOdzP2c5sRBnE0aEGddHOFvANHo96uqEb bkhoCFz+3oJ+T/ZyOHL+xOMaUo5yn1IgvqLZsH+QAEG3nBQfezRg6+9T9tsK 67F6s7xWgFcmzCxl+UvvnES7nFv/DNf77nmffCF28SGoubaqNDvdh5uchNik T5GgVs2h2WC0HZX2VEO2Ax1v/176MzjdDgHLBt1JfiSIDL330VylA639Ylre tI7iqjbbz+kmIjxbGbfVJYzBp9eFqjZdZGTIBgYoMw3D1vOxZ2xs+jHQT+HH jZtDcCLw3FLVbxLyfl+iKPat96R4mRt9DAJ6ytCZarTIuBorcvO4UCMMfLQ7 YH2kFN5biigUkytwOV0pKjukDJJufQziGq3E/iqFY6Ij42ilmeGlQ+yBGF1N zv9+0CGoW+3kDel+1KwUoneTerDq9EpfwvZK6JUJdTPTIuFqhPlOc9OfYNKW pry7iIJGBx9yHXVogoOTXJoqT+gYoFu4ySqlDZLPSkvqX+oBVaNbfw7HdmD2 zbaJX+otqHnqfpeIRwIYHDrZIXwrCVjL3he+Vy3DupR9RvChGploqw79rcpw SFr38BM9KriP0+5yp/dh0gmJBdvCFgzNY6Spy8dDyIxo0APuQbwKr8ysqNWQ eVfG59LXduzs7d49LJ8JaqeZbT0GRmHHNb5VzzoKnr7nKjZ3vwoGTn3nSHCo R4ous4JSFBUO3z8mRtvWjwbP1qa1ZzvwQln0hp8nM4H5o3+Eh1MgJJNnxXJk y/Hwv9RNGVP94Oi+3fiQTw/G2Vtl80nmIJu66MYvPLl4g+/ReJsWDU8EN343 uFQPYg2FQfSjo9ghLuXY4UMAbyHug4XDJNyYKTLjpl4MPAZc/BxcPaB2guvr dXkitlUKFO3Tn8KdPxfN7h0gAu3XxOpCWwZa/xJb2+NZgmxi+79T/+sDp72V ycN/evBZzcls6gVzZFf4EPxR5Sf6OilNrnsNt1CzRwblSuBvqJXkXjqCfff7 BfXvrSj950n97ux6CP12h4N6vANtmYx2Pt86htu5LBknP7fAgSrWffzHq7Gi lKgpRS7E/nke4danzZi8HBdc9isTffrC//LIDqGMl5Hkx8ifEOQ2a/ePvwtN EzX/pPn7Y+emU4uyqm1oofiq3/rcD7zW9bJreKUPTfX46noDY4A7jj1gz0E6 iIg8vTnTSUVP3sJx4kECxBl6LTH39yD7D4tiXsFRbOYpEFgdrYXQkRaS5kAr VEzdKeC63oN/QiK9TZ+P4NWmOaXjldUg3StV2vpiAB0P+zT5t0XAa8PrXyQ5 mmEpOkPW6DURX0S1cRIT+oFZk2g69I2MN3PS96qMf0dXlzbtgEeNqKBwrtyq tQlTpN+yXXEux+QHV7pGun+ALOX516TxdhQ95pzJGtSDo1G3ZiSZErEi9Wr/ zoQ+gAipS95cFJwJVM1jV6lAJd/oP9KX6vEX4UlUbk8w+JVs/XK+oB0JwmUb BVK64WOpTuxRRTLK5T/Vio1vxy02p9z2E0vx8d8gSz1ZGnwI8S0+v20I5S6b Nm3Jo8EJf6vtv9dz1s+vWfekxiTWXd+uO76zDp5uIaaHrWZBrQ/f7UT9bmTr lP+vcGgS/6xa704KqAMD9ytSR4w7QcWq6s95TzJaKMcIHggh4cJi7AzPpwy8 cKzmFt/VCnC7Jc++ptmLmw8rHXn2oR0SE3kWLt0m46HA38SmgiHUdjujxK2Z Apn3COHcZ/pQZyD7tcZSHgZfsvP9ejoWFWrzHTs0O3Cq75v0H8cWVGEZS9z2 ow51GDtXLq5zXuZ3cYOPQ814TpWY7KteD5/SoDIxvx9fSr5+/US0Ai9MflO9 vacNT53nof+VHkVvmzOy94Jz4XHR8PvaR+v6EP4SULBnBHmdWJReadXCXsdd WtuuDaA409NSvm09OPdf0Jg6rRyNDjuppL/vByWByFRdWTryUHZtlDcYwFUh jVp19nwU2DW14ZJjH7gx0mouTdBQKSXc/9xYAb7gHmCoYQeGFrzVX9tOAku+ wvQgFzq+MNuzy8+0Bl/xcdiFAQEr4r6csL3aA//9omLbWToe9bYU6cJ+sGXR eXo8cQjPDLIa/PLphxoL93aekSG82vu7XEKzE7dwLBDnrzShj+h5k4jfo+j4 9Ie893AofCm7ejVxRh/nr276UXSlD+Xibt+ca+rDIHdVndIttXh067PYJdUU nM4J95ODXjxKKqpnziuBDIKSw/t1/QyZOnW/XMiBD25rpIWOQTz5pchtVSgD hNRtYkmnB/G7OpupP6kXHrs8ZK1VHcaJ746N5Xtj8Hg+6ZHsJRIqdf+sk5zs gd1yTz7EeQ9j7KVbKQbr8zcLHlObVB/BHWt4jfvIBJKHGmXmi5zBXkON5+3h HsgS57VvZQxjTUTSstClFkjtDPtzUIyO/DERF0uF27DM1JS8NaQT16J+zCwz TyHHf/9JrfpFQS7TZeXv4gR0PzK0QZu/EyfeXcwWGRhBnn1+YzzP0pGggArV jQxMTfn8aHG6EH6+6Hw6ts4hsldJr1rK23DuFmss6Vgmpv/p7p27PICmkk9K vD91wcdR7XGTtWH88cm0UaR6GomUJDVWi1hIjXvcQ/CuxcHYdEXSh15U5rOY m7zjgVNv+s7A+j4d4JZJc6ykoL3aMfY/pQ0oGjqn9/hiHzKpeZhqQzvm1Hfe nq4dw+goNo9C9xwU7/VJjbfMQlnF/EvFlmRMlo6t+qzQCUzq7Re/so1ifoTg NgmzJGAaqZAhb6PhXfOypOGIV/j7B2HQjJ2K9o5Rk+2r0xgtyck8cNYVk/Qz X49bUlH6p5RFtFUzmliKK/MZtiPnyDnmiB89eJu+zdS/qxsklQbtIgPHsPos u1W4MA3CO4d2BtdNYd03LcPM8RKs0u/uMGgjI61oZ1qQXCvmNOhF1Gj0o9Pi f+c6b+bBsPdvA6vdQ/iDjXesZz8BbbqPZmqu86P5m1OaTb3jaKDA85OTpxz9 WdkXPaPqkSmXM050ZhBf6nu9zdSfwVqnhA+bZ5Mx0FzwJduHGXSfN91zhZGE bmYStz6e7kWJMzeZWzKIuGp9nf3NlwYsn9Qb6+kZxE+G9Rl8kf6wwCr9PlSC jupjuhJf/CewUPsccZdWGU5KDYU+a0uDL1Lk+9eODaHeJ4PlE7N0zHJrZ7l0 phV5449zyJT04d1z8t5nC4jYPt6p652dj4cYAt+krtDQVDwg3XA9f8/7cFOY dk8hf/qZJuKNFjhnpR98rmQML99mDpI5XoFJXjW3rKKpSPHxgCMPxzBwg3/P zGI98omp8erJUnG7G6fI43td+F/X7WM9p39C1xGJtq+EUYyNWdkclBqGaeAi Uyg/hL6Kp79RBBlY+/y+4D3XAqxKwWI9sRGUmK7QX2Nvw2schfuLzpJhv4ut 43vDGbQYg+hKwVbUmshMZnlHQXqj1EXt9f2+hyVo81jDFO6ReW5RMpgJgQIi v7dfGEW6sDJzhuwsEr8EdEvczcdIXzfJz3EMdBTffrX7eynKzbuEFtcwUHmv N+HofCmaupyS44qbRpcALa+N0tWoqHz0w98ZMuoUheqdONGHnekO+XdijdH4 qSunhOoItlZfrhH2JKKQ+P6Z60/IGPHCbDv9SwfymJR/KfGhYNIuNXXLZ114 ce8mIx8eCooEln++llOIflypAb7ZQ8jl1pggs6MHNmU8eL1h5wwWn064YfU+ EQ6VSzscXxrF6ciBac41MlaxSgaeJZCQYfXG5OIAFdO+RCs+S+/FVAXtt4PF P0Hp7Sce5ekJDGRpl2DeOwDynxSyTjQxUCNZsCbMuRAkxSJdaDPjqK5xX9L3 bQJ4/ynfeoJlHOfOfGbTlC+EVP7nTjWSExhcaF6lss7Xmvep/e+KGbhJNt5m lE7DzG9pahnrnLESMSI5q0fFTDlHNVOTAdy/Kz1qIvAnnDgt8PHayiR21nie xq0/4e3yqpw11xTWWqf86dwxhzf1yawa/VUIpM/ntFP68AbLB2w8RsUWm98f Q1l7sMPRxChwDw1Lazae6qypwRpmjuvLw8N4V/abjI0NGc8ffyMRt0hG5o0B jT6x65xfpKbpw8VAs4T9oRGCVdh78cnZqeAR3C+S4XYDpnA3/3i8jX478p3j DliRZiBTk80dVdMWtN4bYJZpUIO0v9yPnT1GkJ1rTmGUlI+il/gKF+3GMEmZ ky4kN47TmzIV/d4R8Ulxzf03R6tARttaJ8hiGnkDE7MTvLqBddaPX1BmFslu 3MDTR8NzpW7OMnfJmNhcuqLXGAJtzST7eplJPFI7rtv9jgh9Gw15rM1nMXSX wZKuGgW7pb+QxDopmB+okxtPI4B5sGLDv0QGcvY2XjNMIQD3xQDmbd8ZSLJJ IOgatmGwgaz6I711X1gNfWHTmsd04VFhiK1F5hfaatf7J1GlKDOkhtGNz4xL AhKykvCt2ljlUuEETvZZn7e9zcBixU1xjoPtaJOcePWjRhf4qt5JEvo2i5GS +66cUKLgimDhbN4EFcV+vnweUZyJ09+dbTWDJ1AkP3KBe46Mj7cRnIwe0TA5 IPaxQ1kD+nxRCcw5OYamb0+u8MR240P4+43yaBh1NJsq/X70Iytv8Y+CyCFU OiEenXyyByR26oxdK57DwHrL3N+Ts/iNdoJf7Uk70uMbdChPR7Dl/ruvmyfI SNCM9H68bxjd+EQ0Z1Io2DobR9rfR8QHpx1Kkt+P4L/ZWxMHJDogJ+Roxk25 Oby8vCKTtncMvbJ/3xKVJOM6clVM7aFgc1Jk6pUZOtbOKA9e6vDH827Ca56e 06jX4vBJ+GAnehgp2jS1jOJ9su3z9JwU4DS55ivxdwZF4+wCVRLboOxayTnR fXNoff1q5zuBWjQnXh098XUCLZnY3/1+VgUdl4DmyjKLp9pfXj/uToSwkFr2 8APz2DQdlP5Ah4Yu5a7D6ss0NFaRVHaqiANRnU3G5EsMrMiXuLjTcA7jyGuv JZ07sZZtFdopQ2jTWkwhGdPQz9FYWOVzHvocmqHOaE/joXmFcKXJnyjRv/Zm kHsKSww/693WbMBviTGdo2WTKKV1Z3ivGBWV3TeUhF4eRt5rTyViT+ZheSLR fUl3BgPVu6x9E4dx+vcbgcE1Gi6q6s79Wn//p1df0itzGAWOkm5tZapF7zfp YWKbpvGAdZ2HZXQmbPx38RPj9SyO0AVXxnoXkDQ77bNNtB3NPj8lV4d04aV7 5RS98xO47dXmmTPW/bgpen+9ydUxvPlB7dBNj1lUbnuSuLVw3edrY2y5S+0w F3CPYPdrHkUI3CztD3vRxj18w8OYcfSgHmJR8mdg2aHkszSJAeS1VI62PTSK ajK+/jMGdLysnSZ71bUHWGZbbGv7F1C/XdEyzL8SOHN5o8+GzeHbrYrF7UUE GK3p8js8NY++G6/EB5ks4AOHx4oxlZ2YIeYq/YmpH68LKT1QEBxHIXb6BblN C3j44soj683daP9L5vz5oiy8xzwj25/DQB7OmNzX88XI4vRrV8VzBj7tufLr p+wiJvp9HbNI6MC4oIEDF+514svaModZwiTe2TdzfCNLDUjLhGWKnJvHlP+K Nuq1UDFOZj79tfh6z3pLSnxbVodrixkn9FJncDoZL6VkBYHO+2dvNKZmMeFJ 85PK9dxyvvtJyrNzCIXLAkJeWC2islDdQCdvF/J1iOeXyY/giK3J4/SAYfxq +4J3NqQPd9T18XNoTaLSh+3Nj1OaID/PMYSuvYCD25lEpePpiJ38eukFo/jN Q/jAjCQJBwrsCMsFk/g/Fn3yUg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{4 + Rational[3, 2] 5^Rational[1, 2], (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[5, 4] (3 + 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (7 + 3 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 2] (3 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (17 + 7 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}}, {{ 7.354101966249685, 3.0776835371752536`}, {6.545084971874737, 2.48989828488278}, {6.854101966249685, 1.5388417685876268`}, { 7.854101966249685, 1.5388417685876268`}, {8.163118960624633, 2.48989828488278}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.8935136, 0.6004149999999999, 0.2205464], { BezierCurveBox[CompressedData[" 1:eJwVV3tcy+8Xn4RFlApJmISQFCGkMyoqISmGMCQhqq8QwhCKKJUKURSSaOmi m866Wlertu6X1S5ta20hCZXf5/fP9nq/nnPO83yey/u83/OOeDsfUyGRSMHE z///mal6/loNStQ8slrW+qkMA/iOpbRSJRpKXn5IrOgCSVBmVRQqUTgpjhu1 vxc5rzQKwgKUSL64MxDC+9BNPNzd5KnEMA0n28UyLrq3/NMJN1Kiv2W011B5 A+huCXm7cJ4SGT1lkssjSZDym1e0YIoS7T5YWI7pasIk0vfw4AnE+ILQzAiX Mgh47vKhu0GBQVPjOcsFPFRdtUfqVKhAepB7kGRWPcZ4vOFnZyiQZdpakP0x Gfp19bzd3iuwTdqqtk9fiboRpzPXRCmw/+KU99f4UpBvfrrD9poCvaZoaL0x E2Bg6bwFqXsUSHow4+6/7zdhiMzarrRQoM71wR/f1/WB6uoFnYfWKJAyq84+ Zm8L0j1m7nU1ViAjY/tjDrsDYj24c7gzFUjFAwemTK9D42+0Fm91BRouOm3x 6TYfvJJ96ZNVFZjYFUSK6JSC8UvtZ/I/fUgK3HGX5xGAwpWuB6mFBJ4z5ZFN 1n30DNo83fd5H1LfjXly6T0bQ6Lo5zZF92G+9xjNzrUCKFm3Mm7/qT70eRhi eSS5CVUvBzk/9ehD/vzY0qALbWiq1ZV5dk8f9qc6D4+skKHb3djen0v7kHsw In05oxt9BnWM1Sb1oZetm3PVfgmy86XbcxvkSOIp7t08mg/xAQVq1Dw5ehU+ iWVsVKCqytelKtfl6ON7mb4stA9VswTUPHc50hv66dOrvgLZamxyyV45ZrQd Yurad0HiduNzobvkGGZH/VFmUw1ymmRCzCKiftDPhweOBkBgd/ONmvlE/o8R jc8GheBFv+O31oDIzxpxdVusBMk1TsmXn73o9MoqfbF5ByQJojOfiHpxaN9Z 1fMfGyDp2z6HxtZejK+VWWgsr0C/Wzrm02t6kWQvuhXxS4isJaxaxWviXj4/ Yb0prRb7z765IEnoxaqOaaKKVAWaW+6wo0QT8WvdcxTjuSgZzt7652ov+jyz u1x/UAZJ9amRg57EePRs2u+S1+iS/XJK+VYC3xC+O1PQC7H5DDNdByK+d9s+ zdwiJHHdQ0/qE/NN751tcbUS/H5HXF80nlhfusjaI7gAqCZ77JJ/ypA+uv1d 9d9mpEc/tNnWJ8P4qZMHF6z7ijpaAfNBKkOmZu+DYGKcUaCfwxMS8dMPaIRe Y2PVhjfz1jfLUHd0e9/s/k7kx2QOzCBwGDdVukSdC+zRtROWV8swaWFa6Zlm MTiR9Pq138gwdlX7quxNfBTi35C0UKLeEpNTx5aVYSBrKLIlSIaqz4dl648I IP7wQ0HfORmyBswmNAV8harGG0u8XWWonhWTSB4UYWSb6plpNjIc+sfaevGr AJnrVh+rsCbqWZmuXt2pgIFNwg2Bc2VIObpj0261emirjW/Km0PU05eUNtux wdPo4RKNz1J0unswN6erGzlrWLcT3krRbsC44g1xbylv24vGREoxRvXD3Odj O4E8b0PCDIYUkx5fyE2+VQuk9OI917ykOHB62swJC/hotGqSTuUiKfHedfom etWD6tYnWt4GUqRfiLDc5JoLtCG6+LeaFDPojAH3zwoIbBw5zBiSIGMdnX1u bTFa6jqrVtVK0PSQwcR7t/vQ5mPXF6dSCVLqR39mWjOBsdPX8UW2BA3H/V6h EPLBaYzZ71OZEgyytjzg3kvw3NdPf16/JuJz/dXHpfHAfXS1pZqHBIee305r 8GhEWlbDnw9WRPzKLbnfp4sw4OdHI64+UU971UGTPgHEmFj/vPG6B42iu+4X bq6HgDu1zh1PelDzW3PYf0+/gPzIybNvLHqQ9PmA3Z+yQLDca3VLTOlBm6Ph jpdvC5B8JKuvQb0Hq5Y1zb99QIDG+Xt/zRgSo2owO+2HnRDpKr+fhvwQo+ak 9JjQ4Go0NRlz57hAjMyn1aD7rAKYXR2ub9vFyL93pYivlwvuqTGXxxWLcdhk YQM7R4ncs7NPLn0lxqHCOOvOqHrwH3b7q+dL5H8oCj9sS/Dxqgl39nuJsell Sm4CmYeGA+IO+lExeu4ak7Sc2Y2qkb6uNmvF2P82hJsS2QCR13SatOeLkfRs q7a7by4mrZx/hzaZWO8u48nL9wgx8ka5eYpIhDa7SOxtP7uA9M2/IrNNhNST ntuX67SA+SnfV0n5IuR8UvO/W86BmL9TLg++FKHx9R8O1vl8MP5y7zntuQj9 cLm+2VgBRN7dlJsYK0LTcY+EPyZVgM16qeaaRwRuXr0g8ZYA7Wg1ebrXRMjw TrHT35UDIYGGxw8fFOGwa6HDOr1uiKFc27/SRYT+UJb0/Ekd+EGH525nEdI1 91+TPSqE+BWlXhusRMhvuuUxMD0HHaOto2SrRWixmvdlumMXCq0CV7hqiVC3 K7V1xq8eDDifsmTpkBAZ66fRh3axIV9qbiTPFSKzxsvsVpwQ/F5/U/zMESKn fW9DX1sNhFh+4nGjhWgz/Ylwh4MYsx8oXncECVHnSeXAeA4f7NJXFA1eEmJA 0U3VXiYfJTN+jrE4K0TSQgfd/ezz2F9bq2rkLkT1Q3/Jv1oEIHmza++gkxCH nj4dy3zXjTbuimcuG4n1bFPXMxTLsYnlmZM2mcB39SLimqNQfvyBWPBdgNyd hga9z8SQojqLtylDgPSto5EFj4pAhzNyd/trAfZ3P/8YqNkKZFpQ1d5HAmTZ iK1+r0sCu2LbjQfDBOijop2mql+KIfqHP/86SvAGowrm9InB+Pnilx/2C7Ap 8sDxWdFStLh3O+mgPXGP/4vz/cxWoruPyxo2VYBJa8Z8frW0D9yG5k/S2CBA 0+wjeloXGoHR8X0kwEKAnIVWwVJlMfop643sZwmQVPDSL9GgAVlP1P7FzBQg Y2beIRPfF5ByxGR2MFmA8fdvG8ac68SQl9xHTQMED3HYSflXa4HQOcfGCLpR l72Me95cDKYmP0oWd3Qjw3hppllWI/iPcco+vqsbKc1WKv4T+MhYrbmaSenG fD1TwykpYgzJLA26qdGNYRuetc3/roSgkeWrO752IefY+gjur3a0vJ7br+bU hfwP57LX5hZB/JPNurc2dmGS1SvScqtesAtwL6rX6cImJrfMV6AEocW5XVca +ZiUtWBpxgwhaNZfeP67ho+m0pyDo2weeo1xjdvH5iNnc/Ga+DOdmKJ14Sgl hLgHrS9nw7UGML1Z+fpHEB/txLvPvIitA9O2+Vrn7xB94ATZOKGTD8N/syTW 5/mYwewJWX6ImPe10bVsPz7Ga30cXdNfipSde+feJXiWnlXh0Di5DY2fW9sY EJjmfGfne7MO5ARFJJwY7kRzh/9mP47uA/LXo99+yzsx6Op/WV8m9QFDxen+ hNPEeKzisfyAEJtkPXqrtnVijP5vjfG7hBjfnAv/7DpRTv745qetDIK+WtVG T+5Ef/qWeE9NYt+majAPJ3Ug37Fxc6UvD4NuOB08daEDXbS0Nmn8FiBt5D+D +a4dSH9uSdvBzUH2O0fKqS0dyMx5WiSw7AP6aEvyXgLzzxXGpW1ngab+bdna 38Q5UJLFOtcEYLHtSs/Uvnb0MR9bXktSgqfDy3/zLrZjmMWsaXyXEuAc1lpk cqAdafOM3TcSOsJ06yySgVM70afLP29x6sHsisp+6ZR2HCCpr74RJoOm1ITf a9XbkXTkETN3oALI5MZDHffbkHTt1L1LG++gaXDNDr3bbcif4pw6WYcFMY0w b85BQqcljIaBKRfjOdus0zXbkEbL9D16sBvt1tWMedXfitnh0lLKFhHSiiYs ofW2It37ZENOLg/IFyezQqtbkRbhlbsvgYtkZU2z9sFWDAh/pR5FV6Cm3PHo ZAIzFU+qrNvlSN0Ynr5lKpEfMSu74K8ELNLzycFPCB1bu+f7k09VSNoQd+/8 zRaMH9WhznhYCEOzfvl/sm1Bfw8GNXNOD5DmvNpgatNC6PVj9wttuGhhfXh0 zaoW9NLRyhukCIB2/kW4ll4L6t/gDuvslECT08Dqx1NaiPdu9dms+ivhA2YO 3VBvQRJT8EiDdhjCnu66vn+gGSmRARKjG1+haawijxbQjHZfusmVwh7kXN0p Mt/cjPprXRd0MZRAajz59rYKoYv4Cy6LEqqRflSid+VyE8Y+niW0M+VjTE7N QW/PJuT/GP/dN6wUaIZrzse4N6Hu14iQ5eQGYA4lKbUPEHiL063+KVzIbmVT NPc0YT8p2HWEuM/k9qdzV+5sInSW9udruXKg7Zu9PI1MxO8KSSkYbgK7FqXx kXFNSPUMW9L9XIYxk/440N41It3tRDdQs9DpQnG/nXUjod927LWXc9Cnx3vc kbUE3vZ3wYSfX5HMtr/0q78B7Z7Fei9P5qFP5rdMw6IG1Lk64nsiVQjUZb1T JkY2IGnEzEltajqy953JtLrWgEOp6h8T3bsIn7NsadXpBozP072/vbYSwiR8 x4x9DcixlG006GwATxu3b882NiCfP6A9NbcVaFfDhC29XDT1m0IyJ/pm0xzq 5AdnCJzarfn1SjXQ58oNrqhxkeW1KIN6OAF8qtya/Z/WI2spXp34Ox0Zb1lW R67VI/OIg0GIoAecwnrIuQ71yG/Nmj3rkww81yX5/Dhfh4wI1q2u8DRgqybo 3Tepw/hjNpJJk3lomnLiOncuMZ4RzRtxSEDSoYJXftPqkLVDZ19QQhVqrlCv pOnUoYuIfT1qnRySVHK3DEhqkXFEmRowXwYxcR1aCYJa1HHRdWzxEqD/YHhc N7cWDe3K5/Vv78L4kzp2JliLptc/rlUrbkZJeoeiXasWUxqvhumHyVH37uBu Ux4H7WRXSPNEPLRjJ9VrczkoQQcH9vNeoG7zvu3F5iDdPrfTsITwSb2fqhqK Oej+Yvuxo4SOZ+dszn4fzUGq7TS7hxYJoEuaO/yQwKrL3TbV63Wh/8Kl9a/C OUgubTpu8LEO2cbzT+8/zUGLp5JZ9mYtGGa29rrOPg6yfuRYnmNK0K6U+ydi KQfD/pbMPlpYDZxxdpTexRxkVlyw4F7sA83CxCaR+lf0DP3T3XJICvQniyjP 1L4iTX1Bm5E1H1h+jrtDt9cguSMZ9joq0ZQa5V+pVYMBsfm393kTPL1xLrc5 oBp99B/ttFnejpx+FcqhR1XIGXEbTxnTg/Q5ZPKZRVXY7z+28Gk4F+nd5e5W wZXoVbp18EM54ctmB3x/tL0SYy+Zti8bR/Bni6bGCKsCk4zamtfYSpCj8i+Y 3lCODIufyHlZB9Rp7731Z5YjebkZyyCuCXwCWg2W/WZjvNWKbTp7eEg/QmP6 ydlI23HmW2oAoWOPbInofMzGgO1z3nasVgDHYMn54pNfkLRAeUZRfhP6+SWe aFyGFqwMn9rCPojXeLco9E4pGrkeGLDxawTWQusKxY0SdHtqcGxLHuFfb9Tp kScWY4pfXv8pPxGQvCZljhtTjMzn3rWJsYXQH/j43I34Igxam/RfzM8OYM48 mZd5tQhtNmub5jkLkD/eNPsqtQhZNQ2uJfoC0MxYVlDPK0Q/x9jbcKgLfI7X fLjvWYiU4DuKdYsI/pO+3FR6pBBpySu0op0IXhfGo9F4FlLH2vnE+rQDJbXv 528NRM4k+b81vCrgD+9RzMECbJt6vsMumNCzArl+xIYCHNqfETc/VYDULFu/ 7f2fMXbf2NcFzB6CB1t2xV7JR7vG3wbB67qBYrPP5fK/PEy08Hmk8qobSWu0 yseO5KHXHUdOuUCIfLUFY1rN85A5aanr+VMiYB39dHd6WS42HTjg9E+Vi4z8 7wdfrcpFH9rrcr/TTYQutOrzm5uLpD4z/Wu+UUBKW/Ig7mk20oJf2pFqCP+3 sP/N8OJP6L/Du/QAEP17JGdP+vxPSLKJ8FlxtROoz+IirSifkP55q3+xGeFf 2TOpPI0sjK8Mlp9fSPBxY2jwaEQmklgKX4dxVkCqecnD2RnYllPjdfNUD1De Vs9KExK8NhqxMSWSB6zxqxKtJqcjS5V1+cTCbuC7dYVY3vtI6I4Ha874dSHl /JPDNiNpaHrFt7XBogQZyd4/C7PS0Ku7Xn1xYx/yw6tt7V8z0e3XXLe9+wVA YbROb/Bkou7jD5pFs7uAumTlgl27XiMpap5VI15H0kOubYBmAjKONkyNmhlN 7Af73PEXLzFS+N/cnKheIN3ZvHXvlpfY/77msMj1CzC2/jhetvElSq5oHs14 3IOsrSvRySke470+jJ881AwMh51D7nfiMKajt1vWS/TF7rnze588RnJMdHVY fi2SaJWnlguicOhE8AGb7wok+ZXJ9oZGoeEOzaNHirqB9Py2t3JmOJreDJrr 8rkYGD8cbwaqhKO+wHso9AbhSy73VQQ5P8SkMZ9MEs4R/W848KM5MwT9Aw+9 zFFVIkkluEOddxepF7a7SB4XA8lz15HFy29i/LroMf1j65EUVuvn3OGHVdO+ rdi/SgCkyAptUp4n5s96N8C2I967+taJAXZe4B+WPO8k4d9I/hfYGj+9wcK+ tGPCWkJHb7pUrH2AAfSRW/sXJ39GkmuIT0XybdAdc99w6a06IHmPLgqJvAcD p4p+f9EkfMemNR/in0VC2IKsXyP72Mh4dsvqfWEUhNlyFFs76pFR8CgQ5r2A xEVnAw/OFgPp7+jntI8vgPTZXLv5VyIy5tec9T3wEqibbmjMluUgaWNI7ZPN ieDTc1UcvIDY3wxl/6rKROCce5dhFM0GhnLK0dq210DftvTvZWcOMsxShfOE yaAZyz7+IFmJjItZ6hNXvQfV3UXrG+bxgQoVWV3xHyAl2uDDk2ExMOzmzkyO YgJpfF5b/YlG4HNWLip2TQf669DbdlZNSCkMnPeoNh3iw0/Ji0uJvsT3timt Sweq0slblejn/KHqOZVZGWA86V3ygK0ESI556s4PMkESt+ZdEDRCPGupmsen TAiTt1xf4CUEkr17HO9oFhg6zW5Wc5MjnTq9XNU9B+g6DWx1lVKgLhx/znhc HjDCdDv2BJdhfH1pYPlAPtjhOG2TWwR/Jp3yuHuhAGLMblD6H4qRrhNqdbW0 gPiu90vUs18gf/TWhrEaCE4qqtP1Eon3wzzoGX+QBaauF/YupH8F0n7HLctU CiGpVmV/CJvwO0MODQbRhUBelMP5rtUMzAP95ygjhC+pVFV+caoDipmGQfKB Egi7+e0/+yLC9+w5GOiRVgKSOQ/0n4YogLQlytxpXBn0L83vXX6OjZqnTH37 x5eB8EXvtFcjcvRxGDwinF0GGcc5cbbrRMDXyw2dvKEM6IbbzvYntyLjW5qv ragMnFqygy4Ii4BkV4ttf8qA2hMQleKXCT7mf3hvln4B2vMZzBtjiX5NmvRt zJYvUOUtudOYKcP+qJVbu159AdPhlR/ex1Qg4+zEhYvmsmHYtOpc0XMZ+FBe BTsSPptCv5mseUQB/REPay5nsoFsE7U55a0MOGn3p0w+VA5U3kmbOQOZoHnK pC6jsxzo62/6he/moVPiPM0xqhVQMjxx3PNdMmQtKr3rCxVgma+24mwdn4iL nudXWQEUNvmYuLYNOJL6yMr2CnDLuS+sXiRBH4+7/2JdKkG4sH/zjZMydJpx fmiXbyWQNHXDl+88Cz4bD4/2ZVeCX9vJCTVnleCjbVyxQFEJ/M0d+0t/IPq8 2+B5a4DALludU3/WA2Ui/URXVhUMCYpji5PkwEq4lpiaVwVhiwa+U8L5qBla oWO3sRqCjJVekmlK1NyePEuwsxrCrixolyXVAcPn5NRCl2pg1bwZN+JcBT4z XfROX68G6v0V03JKC5C1ZEiyfrAa7GQHZwTsI3T7uw0PTrnUAEtKu3/Svxmd SlWoJyJrYPjxfmvDLxKknF1mnpFUA+b7Wihd9b1gGqw69COlBuy+T466NasN +xV16xqqa4CUFXKKb5iBjGZFbqbjVwg7Nff9GwMxaEoka90ivgJlafzAABYC yaN9odafr+CzC+iVntVo5BGumzeNAzoayn+Mil6I/zN77+RZHMioMY3+2iGH MGtbQYwZByTUfPeTJ9uQnJLtsc+WA55vO6LGWAmw/wf96AZ3DjCpao2uZuWY 9Fcreq4HB4y6jQIGquUEH53a/+A0BxhLnQdPPecAmaaX3XadA+6X921upPaA Z7sbiSHgQMztBKV8H+GzmxWbZ33ngOpp3mbXsVKgWDHdMpi1wIhn/pAeJfZv ZdBrh7xa0F29/LGFRReyirxveDbWArW9Wl9+phjCnr+mOzYR448HLzwzawGW Xf+8v+p1YDMlU9xu341D81NWT5hZB0HJnZ1xKXwgF7KGmLPqgGX11JJh3gVD E8xHbQPrwMJgU2rca0LP71n5YhiJcz1jymitInSAd4rRNO16SNSIzN3+Wwr8 cY2Hw+n1EBZyuu7hQBU01d3hvbtRD3yx82lbkQIoQpOm9IR6YHhlagZ+6ka+ yxad5vZ6oCe+27kjLg/YIV8n7ZUQ8Wsqfihn8YBxP/K5LJcLzGDbGtchKZju +S4skXOBVLZy5sGeBqLek/MZP7jAPqQ77UhSE1BfxY2cXc0DttWC1ccseEi5 rrkqwZ4HFBEp9hFWAUdjgnC2Jw9MvR5PHtWS49DA9Bey0zzIHlYs5kMXemo4 3c1+wQOnLytwal4fNMVwg1al86CqxsOU8VqC9AWKdfkrGyDeclPUb7V61Dwd N/mSZQPwL+z6vcq6BDmbUx9lbWsA9VeTdMZViTAbmba7XBogpGU0vGuTGOi7 z/3UudUApP4JnYvnfwH+fJs5g5qN4FkTo677ggOkT9lGhymNQFpP15l1PASc kqVT/vyf11tVi/JV5BDkbV3z0KMROAs3X9Oz7EXdvY4BKV6NUPLot8qsGsIf WBWY6WY0AvX65xUmVwsxbNeESRN6G6F/9cyBgbONQG9dYWKjJOr7NBh1BNAw TPFv8e4/jdB0w97M6VAvGKlWXl1k3ASxg1MUMZNFSNapCPq3qQkCYxMOpBr2 QNPPg5F7XZuA8mp5o0pKGfK3HiSR2U3gmXSy94u4Hvx/fv58ek8zULnCdAvT T8BgOa2xu9sMXmrJwvT7fUib6lr892MzGM0MdtVz7EGqOPTXn+kt0H9+wFln gI+0CJ3gw0YtQE0L857XnA6M/oUpHxa3gDo4fX6jJ0aOc/i490sIPPv1252f +9C/yYmnvasF2IHu5yUGCoipXnJ/hWsL8NW0D5m0K5By6Mo3nctEvfvMiR3n e0Bipr/RO7IFfO6ferY74yuy6iMmLsxqAfMZx88/n8fHpglYy2sg3skW21Hf 24Sv9RIaWPxoAc/utIEvnnx0Wk1+2UhqBR/Xj+sTyMVotHVpoe+GVgihfpmf vVKJQ9ZTii0PtQLjypOzD0oKgf2PazT+cCuwPvwa4ZkT5x99Mq/gDJG/7Mzr zz+bgT1j1ZWGkFYwGnPR/cqLXow3ywj0TmsFTWF6CD7uhaSShNBUZSs0Pdq9 9mZnL/A3ziq6vK4NSF26UZxRCVKvdpaa728DviDlvsr2KtD8rP5n16E2Yh7H rhcJSogX0e/cP98GRvrj9ixd0IfxfreScqLbIGhnccqV2GZknJekU1+2gd2E /cd/atdiWPH49PnJbaDpNjFgYE810o4+LDb71gbxU08v3z65BGiB1elKejs0 OVmOHSvkAenVvafPCB9C+rDq2FqnCIj5Nj76VUk7sBakWe5blIP0CnZ4Ebsd VN1Wcr/s56Pknp9B1NgOoD2cXp06rRPZVQFrzBZ0AOX87EsXT34ByXctj97N HUC9+DSKszoNOEmcRfp7OsB9bVwfZ3YPZnPy6GcJTAkaWVQ98AXIS7kN5sUd kJ+zsibCpBtN75kc9fzXAQP/5CYdJXwkRwTNky7uBLfDvaaXtbuAfjjMPuNm J5g2n52nFUC8e32P9TPzO4E0N5VBl7KBlv1goYukE+iHHj+Kdq7BNqPmU3/0 +cCPGYsFfiL058TGtK7iQ9M4r9BiYT2Q9+utjrXig+T9sM69OZ0Y+EK95jrh m0ueBz20espH98OhZo+P8oG5YznF4RwXmyq0Bd53+eBzMGrGB90esPEId7xE YHNSrNOBGAUGzRRVJ4bwgbL1fohqVS1E+vr2DEXwoWpr0MWd57uBfnepfWwc HzzNvo1cfKoAdmYsWS2VD+59jRa/bknA9ITfmZu5RH3uY/nczGbUXPFHtrWN D1wXpzj7JV1I1l0343Ansf513xzufOjBDKa6w5tffNC9pjKtZizxfk6F6FWS u8Cd9Y/dqimHEI/Jy/9u6ALVnUENe6q6Qd4xec093y4oib5sHMQj+Mf14ZPH tV3QZLZVmGHSiAHTa+u+NnZB/rj38P2sHGPuaZRrNXWBU4zBPds/fRj7smfi z+Yu4vw8jt5L7wEX2+ZzLbIuYIinLz8yJQwYNzqGdyi7IOkS6Eby6kDzRNCT UY1u0JVsfBIzJIIBMxPrtZRuSHKjCef/7YP+POb6trXdEOvTmJ7oJgXSws1C A6du8LFc4dejKUavGz+O7KER+c86ft31bkXD474T1M90g+WxPTel63rBPG+q TumtbrDjwZQSwv+7xOwu/xvfDe77a77nnO1FuxOO/8pSiPmSQk+GjZWiKf9A z9bsbmAuU0lztK3HqqM3V7tXd4O/7GK033ERGB4fdV7B6Ya2sr8qb14oMJY7 osbt6IaQhG82wrIeIIcND9jPFABr3ON9XJ0K0FGIU97sInAI/2twaQJyJg5U t7gIIObDmenHFYS/OcezuUcTQNIOA9tc9V6wcBL8F3OK8FXqM7te2ciBate+ 2v4ckb91SvCcABaGHa67HfJIAPSrxi9n7yuAtqjPjgvKBGAxt3HGxU88NOSb xdq3CsCoXO40UVQPJdV8ka9UAELVNu8vg30w7BQeNneQ8OWftserLib0rdmM 3ESSENjvu1VoPVKwe7KrxJMsBJZ/bdqxuBaw+y28Q9MSQtPsZa5JK/tQ3d9x 2zfCd+hkX4h5IRODxbR05Z1zQmBUhnle8ChEyfASZ6dXQqC7DHZwJ9VCdmR6 /shrIfS/c/nNLOOh5t8qJqQSuP7cm4Vza8HFfdG56+lEvHF2wLajIrCpzX9/ Mk8I/tfvScKEHJTkGcfGFgtBOKCtNpioBMOzwyq+FUR88cKgr7ZpaJn+r/1f nRBijFc6jlfvAH/j9fbBw0KgSl8+DjuXiPRcXV78AhG0kfnNZpt6Meibc4bH ChHQjcxXnHYmvmvs4A04LQLmdLMNNffFYNiluSf2jAio4f8GyCFscBcaRRb4 iCBSwzM3NFsBxpnfz3iGiSDIfrEpfzcXKdV+zwafi8AxZmrotq1iiETPB6tz RMAaHMgpuZEMPnefhSvGioFf9/epvq4SqA3flXO1xeB10X/py6E+GEjY/Z/r NDFwDldGoqsEHUW+D04TOtY0oartukMRevUKDvlRxUAt3Ha5szsZ/Th04xmX xRB42rJDO14ALieuzGA+EEP/NJWf/R61wCzVbBxKFkNMF5m79H0vmtMaRt1S xUBZ9mf9aGk++tVMb3GuEANr99Q5j0II3f5mZZOMKwbH1gBu6wkJ2Ji82LNr Qg8E8c4vfxzRCqpnmu8u0+iBWGnq3pyvhN+4SSI5avbAgPbdVYdjuyA+IXey MaFrg77sksqzuoF9q+iDrm0PCDMbj78x7UXV5hDSnrsED0aceDSVTvDYZf/r Bs96gNPdZnzcuQ8cZZ8cKhJ6IP6ZA3e6qBToc5qnpX3qAaexaULTT+Xo5jw+ 9WF5D9BPJHgMNbQhrf7VlPPzJUDvUNe56Z+D8pf22QprCSSZdizxG5RA1bgY n5luEqA6fC9dMVqGjvuCu4euSYDZ26+3sYzQFxlbLlk8k0B/CDlk03jCJ/0Y mmvyUQL+8kaq5dx2SDRiXanLk0D86pbp5daVoFrwqsBUXQqaHZ8a+ndwCP4t PjFmmhSG3rjUzTjUCT5RGwwLt0uhaqOWy7WrfKSYqX1zc5KC3+UK3XBzBWaX mdz/74YUbLbwMoxvC9FCxfW3xVMpxMh3HtJdVgc6HiozXBOk4AkpsWJaN5LG 74hKTiV4LvxUialrL6RkLVn6RyYF1trxs0SCBDQHxyk/fkohsd7AMnKjFHRU aU86N8nA/ey3d/m35ZA/ciY96rIMYiZfzrgfWY8x4+Zv0XgsA0aA2rLWs2FA 1dKirUuQAX1Dfqi9ezbGlueOU0+UAUsY53fySAM0Ndg/ViTJIOwFZdB7nByq Ek5Uh2TLIODbxhm+17tAOMjeh02ED85OZnvYtGIi75G1xrhecOw5/EhSIwU5 ZVnvTa1eIG2Vj+Vmv4Oqk6dtcsMIn3WL++fJIBuH/SZdHSV8l+b7ZcbWvztB s8zTlvanF7LvnMSsg50w1FL1bh5ZDonhi0vXnlEieUXVubuz5NBf6D1/6toa 8NfTn+xqKAenJxPmekVVYcx9/lmfZcR3F/LTVJ6J0eWy5WTqPgK35M8O/KtA 80/HduyUycFYu4C3740EuGIdofNvwue6GU6/sa4OhXfu04fUCB9QVbllzptO QueGH5im0QekIn7e4ZOVGDs+Im7r0j6wnPJEqr1Mihmbtxj3XOwDqsm7lbfe l+HQyZu0U9f7gDLq+Xm9tBsYQZvujgT1AfO7jFXjWgr8qOArKneJ+JiRRYH2 pWDUGdnzOrQPItUqgjo8etDIepgxK4IYH9PN0tWTwJDx2to7SOT/MPc54SkC Y529HzMq+oBj8uHNu5cV6HOIGTle1gcpxiJVnYUSFG6X/1Tt7wNySFLRiYMC cFcy95WfUECSiUvYkuB64CaROPlXFET/iwnPl7cD59KnZmmcAqjINL3gosTY yt3ePzIUYPF22k641gP6RQM+uV2Ejyvl8HaX81CoDquyhAogHbpTz7kUhbT3 cu1rQwoQBv8NMrjdhUGWq3gO6koYuo/v20Q9SNtR7+2oqQSLV7/0BQoZMma/ LVDOVAL3mG7Nmy4xVn2z2PtgthJIXqZn/qnVg6Nyv/rwGgLnRY6xyiTOw1vP be82JfSnlfnkzWzFfKdXxys9laD7X9q42M8iZA83X4m/qQRJQV5ofJsMdChr bmVFKSEwxPrSzFYpBCSxCi88VYLl1cobYVY96D+4be8csRL45q7RgRvZGOZR G31ghJgvaHG/zvQU/B+ryKiW "]]}}, { RGBColor[0.38822480000000004`, 0.674195, 0.6035436], { BezierCurveBox[CompressedData[" 1:eJwVl3c81e8bxo1SKJUUhUIoIipE0S0iSlLKF5VRVmUTkow0hSQjhVQyIsmI iNve8xzj2GdwOI5xbJXq5/fP8/nj+efzeq77uq/3JX7N5YItBxsbm8Pq8f/v dbXJHUtrU6FsTpHN5M8M3Lb5N5avzgTlx6foKRPDYGa1vn7+aT+wSr4tu12d AHGZfsi+04VfGtlf1D9ZAKkHjd0l30aga8PvuwvVo8B1pWFN1q9qKBAnjhlE sCAx5V6C2Hky5BPnpyz7x8EpPqBQ9tw8DN5pfPjjQQ/ITH13YJvqBa7QH6cz VCZA6US/G0cRA66VP7fSExyBvkrxUZHoeHAY5fpFyJkB0R1LX2QqZuBHhWFO d9IgqMzs71SoZ0Ir/5WKiHIaHFlDCwm8Q4VHuhs8soUYEMVzSOi7SxMUBZsa zzyfhmbTUyUy5Qww30C7MVE+DJ79XfEC67vBN/K5QPvPCVjXoHsxP38GPDdw 6+lrD8Jmho+aefUcmHgbECYv98C1sydU5V6o4d9fbu8j3s7Ac+ckvx1eC+BK oxJPdHeA5fa+X/ioGjNfKYj5b5+DitsXJM1MKtHCj5X2tGUWpE3arnSaD0PP iaaQhA2jMOcZ//12KQMyLrhv7+6kgetevWv/KdSDY8xsnPbSFPx65LudkU4A IUmmqOyuSXjxb7r44XAKCh2K5PN4OQPxJJn1wqGhwFVFfSv2lwWTU4uWR/6k o1+VfI3oixnoykuQrnbqQOeTpxNTueZBtE9z3ZwxESZM2DfA4wkQmtJWub+j EgucapzvOc/CBhVtl+1b+yF/g8Fdp78MaLBd+o9s1gSXSx5mWc9MQs37jc++ qCAk7X6kLPduGvIk6TcMlVuhfcT/3UnzSShT6XKsPjMOIgOpdb4RVAh15Cn2 TOzEVzwC/bG/5oBT0fMYp84sGCW2Dugr98CLUIev3DLfMOVK0/7WiBnY/En2 HvfKDDgIHl+7rNUD44Mv3NIZPdjL6fnmqMk8uFhuX/LZ1oES8eJdeYZzoDLv t3PfKQo4cYlo0Yh0eCpdcaD0BxFnXcIiko7PQXxY4s7+2S4IzzUs3LV2HFLd jD+6F/yAf4++lm50n4K6bD6f1++IINpP/mzdPQ5BS9z8K+0/ULb9W6LyyRn4 z++1k/a3frB/mcNP3jwGKXllVKGENphPtDQOeMAElzMXT38u7kG7h6onD9XO QTrhZPvXbCqYEXS85TRGIFzJ0by99Acc49t/r2V6EjyoJ+sO8b8EG3rIPY3X 01BOa127mNKJFjZsTZz8c1BZXs88WlgD/TmUkCu+E5BWZHrshPIs9G62zkep TgiKqRI7QBoDtitG2i+lKMAjfbtQ35UOH1a+NVSfoMKzFiy7SpwFns46ZkAy Afg+yYUJ63+Bc1crD0YPTcIbzvQ+6VU9zO3HT9hHzQJRu+f3N4N2uOWlxl3C YMClrYmifmdbgVvGIlDj8jiERfAWUOsZcKEkW9TyxRCEPnv2IsR7AAItTe5l 7qbDhm1Cbl+me1D9b2x/0J9ZWPAxWooynoLIh24Eb4ceyFdyzubeS8KLPZF2 Ts9ngVP2vL4Azwx8S8kvO/G9AySXSOS4EyxYtOCXawnogohjx8ZC24owQrt4 Qj90GootnAotLtLhs6BRAv0dGWSrrrXs0m+GlqePDqnxMsDIKVjs1XI7qlxh m/h7cAYU48LnRbrIIMdbn/Lahgam/A1e2SY9kLnYVGJTMwKaBWI2rzb3YXWd c94/l1kIrTRJ0rXJBZ+yg9cJ8UzIkeQp0CmfgqbqpRLZQ12gtbAzwDdyDpIG npczPtVBT5FID7ODAZ6GouW3g/vAtS26Sod7BOK15VVd3clwQDaWTV56GGRf MAisKTKocYipdLP3g8ML1Zv73IZBiNC8Q/a/fhDxn79qLz8Mrfp5Guvz6VDk eZFb1GQQBF8LGn+yY4Eis/B8TwoBfqxcvm0WOgHzZq6sQNduiLjMayL5oAHq dlsPKl0Yg+amuYsHYgYh0v55L58hDdSP2++yUkyC8w5ZEw0nmBBhm7bvaRkR Uj0J6hK/R4B5sC1AWGMIVcnM2M3nZ+Hk4fSm5s5K/FsQYxNnNwWutR98bzt0 wQ32WoHW8GEwN43Pm/6w+u464qTTNyhgquOmdd02FWT6TJ9Ky47DjyeRsu7D OXDomLOW+TEGbLgz8aC7tBv0BKTt+JNosEZliBV0fRIK1x8refubABvtMuUe LbEgSXF0SfVGI5zcdEs62roH+6famfx5LGjjbzv7/t4MVA2c2RbuUQsboxcH Nl6vw6PjXtnxEZOw83Du2WqNGWBz5MkDjTrA5yR9V6EJIGiEOLX4EEE3SGqg L6wPdDZav9RZoUAJ5cvuCJNOPNmpsWJHmIaytlmqeNIYmGwy0hXt7gKJqxou XMH5UGW3yTuAfQy2uvb+vXJsBvYd1fk+ElYD0gZ3Pe292lD3Mw/tpN4UvD42 KPnsSx6ouQZVNQ2PwlNl4yVRnUG85obx8lwzcOzKqnvjp8Cz6p4q179muGXw bu8tPhaQDV38HP9rgD1f/Sy+35+B7Ia16W2JlaC3PmnT9ZdlUNn0ImDuKx3k 7/FZBwZTgVroZoxF/WDj2bkVH0+D+mlB14x9jaBKE5EUu9MKvCyeDeYuq/qo bHG4t40CRuyEb7fmB8Cu+NCl/VPFQLn5zDCsmg4Ocf05bpqTIOb899xXkVbI 2su9ne/sIPj3yM3ENwxB11HeiqiqfNA+Lv5FgEoHs+akK9v0mbCo1Do3M9wG Cym7spOgH98FxEtyyLNAknc/X7tgL3jQNWxiV/1YfTNgK9+zPkwQuJc/u5EF qUkflLyr6MDWTonwmuuEofMTRXWkWcjmkXod2Z8DXIW69H72ISxsSlTY8YAF Sywyim5ave+/1C+Y+x1E1gZs3fK5C2SMm+oTvCmQIX5Yw3puBAgmWps87nbB w+UVr/lDjbi4729ITAITLm9Uj7mw/zPQ2kNI3E/psDlm89sW8Q7YK64pOh9G AdrtM5IlsmkguN0+YpMRHTRVreT+r4PGe1P5hDM0aKy+MnkkmYwnFxjRkpdY UGZ0w8pdgQmK6fXexgeb4ZdWyq/3dwZBblP3SKlYP+QJPP7mc7oJHfQvF/lP jYNv3nHXSEotmFq+04y7QoMkp9FjKrPFSDbl9NvYuJoXUrGpxFQmhB7vL/nW 3wBL9SNuPHar+8HiyE/Czk6gx8QELOmS8LgzQWL63Go+BMt1lT8jghFx7Gxm OBmiPz+py/jXgIqPtt79tsKA4g1xthWcJDyqaeJ0bXgCSAIjR+13TwLJWfmD /LEqcBfdMoUdRBhXP7y7fBcZEg6f0jqzbRjqNM8HR7l1wAyynen3rsJY7syA MYsxoAz06l5z7cCnX1/ysv6Ng76gzAO3cSpkvPdy/z1IBCF/sS0sqUF0PuZg dDVwEkyMJpqz75BBdUihMcqpCyKlzdaMsGpBRY8lJilLgQS1no68Aipu14d/ SstTEFctPBXFmoL5Y+N/VUaz4XO6ubdA4igcz5RfbDhdD6OCEo0QQEAOn50i 1uoMWJ/Zu8ba9xp0dW2vqe6iAf2gcIH+KgfG3/xpV+baAqbH35EeRObBswXz hwlqVPAx9v6YONkJ3k7y8f2vemHOPmxNWMAkbCiXuLnSmQsRnOIbzsh/g9Pl WXSnMgr4H63lWOtJxEz1v+zna8ZAO0Ao55r7DOhFMdfy1H/Ass2X/UoKutFM c/EKMYyx+p9XVw7rR2Bd750PiktUkPD1i4/hJ2ESbd7i02sG5J2nf5zYX48X GmzY7A/QYcuXv3cjSA14Rfae1yUrOnyVkVcXSp+EfVWBLvfJH8GJkXBquDoW PD0/8PpzrXICzaupc+MUpIUczx//kQTSr6MZVtdYIFYvylh74QWeurGuaM6r AIt3Nzwa2TwMO+frl+W6V/eJTAUbNTwVTaUiaPM0CjzInSk0MmgB7hHVvL1O BCS8OlS1ef0oxEr0MS+9yMTHe+bDlla5xOTx+KM+xjts0YryLOOngiVDikOQ MYCvMt91Kk4wIFDGipPddQLampXWSku8BrVd9yd0PkSA6ZpMLoVxMrgJUf/7 72c5Zp4JN02ypcFaUUhI0CKDTevZNx3JzbDrgeDwREcpPIltpm5aNwAeCaes 971hgtGPXWGa3C/Bx3ygWGwLFe2uyr+L7RqHZ3Ey17TUG9FZvHgr9cgwrP0a 4OQXTMTqZ6dtDatGoLg3ue2oYyRqU2ym57zIkBz7i+PJh9W5+Ba00r6rEjxs lUsDpRhQuIlHO+1QOuwkn/g2ljwB2QKZpjc3RuHHE9uvb+4sh6BKrweOB3ph yWDucrM2CUnnWcl9H+hw9a5+uM56KlYQs09aTDOA/r6ax1Z5HNg2T8pPNgvC dtnuCI2AKYhv6Brl2JeHJraLH43qxsBoqiO21yRyVTel/FdMMoS7lvRJJVXC zq63z7LpjWg+UPolaJV/Zcu+1Mh3kbGsOaaesH8M/hMPPNhsOAlkY18zhX95 WO+889JU4Tgoyp4IyXr1AefnrDL4yhigyDePxsde4ferf6B+tQ9lK/sXyr2P w9zcmZzEqQEcJhB9H3rTwdPA4nZfdDIaLP8115nrB8viPVtE31JwYndxcmLz KFjpaEeSBigQ3/9Z+AVvEeyVm/FtGWPCSrxCglBlHj5O4Ej4dT4X7U0iDfa8 GwDiJRm7DHEWHB+bXrZfX42k6ZC1Uo8b8ewmiZapRDJ4Gw0z20Py4YkJ8dNK eydUmt3xGA00x+BnWzwICyTICanUGUsfhexWg71DGR/Q9u0Ok1z9erzeSUo6 /WoIakvKnX34KuCm8ifOLm4imN2QOmbFRcNe4zGJHU/ocMjQ32bp6SR8Uin8 zsVdgw+2fU8P/zQJEQlZavxGtahy9VD10+9t4FAee/RgfD0o7qmIiVAuw6O8 WVxvRnrhgZRac2JiOSZW/jxlp9wHJdwNVs4CdKxZ8cwfqB+F/8qL8+sWulDP 4fxMewgFgs4zFWTTPkNo10CHWwQRCqra1MFxBDb3rZ96QEzH6OGE/aocBCij FRL/sarhxzpTlowVDZ9WKH+MKB8BUZqhfsR7Kn5Y69l0TX0EMu7dyn88SYf7 5DPqXnpFuDQSb3qUmwpCyzqeXvficGjrwhsXWwJ2i3Uz6B0DIM1duvA5loJq 4Yd9ZuJo8I8RydYQ2QJaLxqysjdUQZ7Vf54EYg9+q5v+4zREhhYfiZFctmE8 zqHApdw3DD85XqZp6zBhocBP3E+0Ae8d++3n30XDRsmurVxxw3D9BWfN1AoZ rYTZZXrIVBDY/3Q4hD6AH18++Xg0nQJJB75HmUoNgia/yfl3u+zRSHe39NO7 NOz3eXI3sY8GGw/0n3O+MLXqp0clGk3t2Lz1wUyqfhVSuU6kf+XuhqnZTYxE Dzpaur0yyTMfgS0BEvC3iA63ch7NhyRXIY1v55ktPGUgq5Fk6xJdBcFxmxv4 nTJAdfsKR861enARic0TmB8Cm4pT73w7s7GVZmX+bCUaLno7b1N3XeVcOYLe gMYA8n1WkCcVDEJl38JR3k9jKBUhUOm3dwR4sz6xKqNIePqGIo+DWx/0zZ4Y E1ndh8Mdt3Kf7i5DX7vR7MHeApis40iv7ysD0oeLESvSRIzdkB4+OdAFgcFj V10lqJjhtfvxa24yRHyM15dTz8H4wpdCzzsaoHLgzrr4qAa8XkJsNLpAABUn 07SA011YFhboHne2G2bDdm+zUh3EvZszLOuIfZBNrbj9czVHryxuzg/g6USt Ozpvnl9nwunojdLjRZ0Ys+aNB9uWUdwaPS+le5gK19IP18zYMWFLFlkxnNmJ hhfOXy107IdOTmHFzgfFONQdTV2gj6LfphsfPAOocGqrL+2EYCvGiSYeWZQm gNfZC8qpu+moLDdu830XBU4e9LU+25EOHxvMahQji0Cl2FJWZM8ACHw/pXl9 phyT5l7/KSuhIuXSq3uPTg8AvbXNWGaZiCfVS7f7tRFAl9hwVEGBgbrnF54q 7KeCwv2xBDe3Ijwo62vqOFINV5p7twucboGkyKZN+14m4Hfx19EXdgwiaX2E 7ZmNJJDkzOleN/UWstvUU32Y+VDEd2OpR7gPNowVa65zrMD3JmTpoQwGOCTL K95x7sYe9WcCFfvGsWg5Yc9BJSpoOztLcJ4g4IV1drYGd9ug6/lx0eXOZsxh T/2ivrYZ6v/ZsKm5lUGhH4l63PcxuCR8pBc4j0G7zsiQEL0LTVfqyUlvyShm Vjtb+aIbuA7PE3/96YakBH0eDqFKFGLaGCnwk4GDcQCnDjSjRu3OvRJK79DI 9HSfWX4eqO8XiDWyGcD8d2ku/hkd4DTzKuaWbz++l71vXllDhLvOkzvJXAOo VyNtvZBIhJfMEtHCZnfwM97dtPthEkh472S7XzuGVDX+2xHxg8BopW0nHGGC wdeI92MuA7hY9mQ86zwVje9jkIBVFyhzK8z+VBpAJ0fbFkt+AjSfub/WjRPh qCND5LpUBhp7iZRf/DoA595sbbQRbcOcIY67EUKj+PzGAweP9D5oOMEy3ms6 hMXz0dbVvESQNfzgZnevGsL8xAoThPLxT8ZpE6MvNDSsOMnd+rEbhMNCpT7G 92BW280qzekWiHi3MMtk1GHbo5qYE+9LQb1ZK1WvvhePkMcbpjJboZrQejpW OQeM1OM5HuSu5oxwKPtJngEM2an1W6iuDfqUF4RMhAnYEBsYpTxdBT9idpv9 suxBk7Oh94/NNEHXDhEDs5o+dK+VnLHybYF1TSdIB5fzgPPclgl2/S/IvERL Wf+OjA9k804bqRHAm8EV9nx3Bkoblu/t3xUELrRyj5nv/dD6QfGFxW4CJga4 bLEwpmBbEYoLXCTAC8GK2SP/jaIMfX3qmgASsBs5nBDEDmDZjBz9S2tCxvsQ +fjaUTRk3Gx36SSB681xf42uMSy7ndp5lbMX6P6O47YvaJDzXelqS1AP5q9M mMm7doBDTNjO6PBmPGvPY7t8aAzrLixanFwkweSEwMhAOBX/cBvdfyRDgOHS me3fkABPqOx/mM+bMFdof91ONzrIpby8dA8HMMkrQYX7wiC84uMh7mvoRDYX Pcth5V4c5UwwMEmvAmxn/F7TQ4Nr57+JL5T3oVUKzXuFj47nfobF/AjoAFvx yFE9Jh1WfkhVeXcNIcXsbcG9slGQs+ZVinQgowzJUE82mIntKocWxNV6gTcy 6uTFj4Po3rkrTXaxFhhe5L1VbnR8n3+t1KScCPy0ZrF7t2kwod55h311r55z jXGvnKMC+5xcenRhP3b9nJ//ONoHv+wTHsabdGMBt+Ldzd4D2PFLPfKVVyVI cb23FeOrAR1LNgXXT43YmK7x4O0GOmy7KDV+4T4Zm+P+zdZ8SQJucdPtzORy dJ4eUy4g0qEvjdFzQ4GCSwWChwtaOzCwJeTWFcoXmJsUU998lQz7f7rLCezs Q6KWcuwhvlKg1P/b/eZwPV6uvdyvv78D7gzZ5JV5dqB+pnY8595W4JDzKo5W J+AzB2LJTpkxEFauW3H4SEXpmQe6ppp9wHvVa9nQuwfNbD0ve2cwULrn4NX9 NkR4WvvyhG0qHd06q85Lx7XCG4Uv+QdbyCBtWy10kG0Qz+gJEficu+GiZR+f wCMScqDjnaCWViCPhtzYZrTak8wNFh4u0OCu+RZR030UHHTSL48OaMeyalXV N6JRKHDx47RJ7ii6JHU3ssW0golBzKfJVb+f9jxIz7WugIUSrVdbnRB3+p33 exhQiu0bb6faECaReCFbOvd4F9R5V1gHrqXBDZJAaoAIBfOryC7JNsWo6PRq g/3ecnRnFwpr39WPJGp51ofLmbCBIvbW4E8fdvDmRL5emwHsX7oj7/aucsWg uWqp7SA++r3Yw9WbCT+3rJwZf9eCpuQ9TRJPBuGjnHrdi5AhbPx25kzf5j4c Oxj4aJNNDMw6hUr9xyRhIOtlj3eoCar9MsNTtfXgpftTVsGpC0tDTrUb/FcN PqmGCdnnO5F9ucJPv2cIm8KtBw4apMPB+CumHD/aYIN+kfM3Bgn9JCQ7FidK YPfQ47WEfCIulDBvPYssAdnkmivFPh3olWefZvdmCkMLTXvCV3nQPUv7Vm/K KERU7Xobe5SOQZQjMJs5iXSbbvW8je3g5y+RdbmdBHt1DUuHy4aQP+Lmph6p UeT1mHAUMawAkXk99sZzFNwwnZ+ScSYJNkR+fqhwlAAnd3KOWbD6sThIzIJT cwS6BFueZgWOIF/wwfXkKCqELIlkfeEaRrsiqR8P7SmYfWtF76L3M6DOh0sd 7O/FZBffbbsKslCgNEw/z4SMQt8s3hWUR+Dpn8E5xi4TqJEVESXyox5eseuv T7w9Al+cg9VIq767vYv90B+FSVR343i8XaYR+g6UtgV707FCeH6D18kCmNui PdseS4LLehv4inQp2Hhp86Qidz2uQbupXvcGHNZVchT9/AJXTs6/2dpLxNfW Jbm3xoeQlDlyWpvnHSZf9lef/paOZesfvo7OJ+A+EwF1cVoBpid+36Wj0Y63 Ir8RHs+R0dTnz4BfYRR+pfs/2UGlwMYXO6xYXcNovGzBe8mpCUmsIlazVAPK KvyQoZoRgfqwf/CaHRkTbQQNxa9O4PLwe4/WfTUgvfcx6esmAt7cohw0+7AG l39uIw/6lKPS6/Ifbz62YZdOX533RQoMSR76evbnMD4fqDjw1/8NHnCQqJjd 1IlV/xbTDKAWluu6U4rm+9H5voejVuYQaMk5nhmzGsZTa47qpxchXjJgchw0 ImBH3FlGl2I7sHbE50Q+JuO1WYIzdTIf4u3LSfJOvbjGkd86qo2JwyKDUj+T y6G7YjlOhUpG1VYxT3eebBRiv9ca+7sYcq7Jjr0Q78db96X3P//ei4TbmbVR /uVYv+2Z+vOLLPwV/fglxDTA4VC1tj2mFGhKaW7/bE9Hrf9u0HktJrHoRJov eb4chnzdln+s5kWcm8NVbBvFcxKdUdeFi/GR0blUtbOduF1bRR84eqFuznCt 2KFhVCsxGR6wLILYOJW8soMDODojIWdhT0W5oyHZ/YJf8bKd9a2RwI8Q+KdU WM+5D+UiZqlcV6oxUpS1sXuYiIPN7vcyTzGxiUtEsqIhDzLm3CsWTg1gTvzG kPE1lRiSa/nqwEo4Vv3OeOMs3Iuq1k3xAlLDKGQTy7854DO+3ZajtzGXhUfd cmRyVmrgU/jvvYUKZJwwzSt3Ny/HZYGln48P1+LenzV36NUd+Pptxc5tTTQc vqiUeTs7BxXbBt8a/6rBi3tGLGo4O3G/hWPkEx0q1rU97blBK0Lnq67qZxvq QNrnyv7SnxT0b/11OLmJCp4aPCwnSwbanr704aIjDSRyngXF9THwnG/5RKVN Of631q+0ypmEc9Mzyx8YZbg+enACXvdgZraJ3yAXAW6/XyN2v2QYs3jVvzB2 EGHsgJPuo40jKPGnZ+SIRx8eCJiec21qQR8vF+eDdApG+TPktulWI49x8D7f bAJsj25WtJEZQf3GhbcuS6tz9nN8Z1N2M/6zXrzEJjSDhd0P5qtvIuhn8QSL pBXBgVO90tBJwYp7n/ZdEh1Bv63TtxrGStG0sam51qYD+XstB+fuduCOn/43 BHULUFJ1xVPeaQA77WxfClz/Cj47uisOd1Fwtwzj2ULINLKqsq78ikkDp083 Gj83TOE+oW0xQU1JcPPL9oeb0qpx+sDZwffpq1z0+nNN2b50yONvOZ85QsFt cjk/XAQHMPlrMZusQzv2hcdovFxTheqNg/FKo/24TkD8Ddcqn0yML7F6z4zi juu19fb6bbBG2Wy9+C46VuaO9CXmECGpWavgh+goBnB8E//8qh8XLrtYCBwh Yv+fyR0XVcloNCUuyWfZjuu1f+nl3KSB+SVNYUmdSfQl/77vONOGgmfbZ09e 7sW7QrWpgjZkzDnMYrrfbMf2DlNpM30Gipx6c/mkTgkGip4/fsqIBIs+blF7 oxkoui4cDIcy8Al7c4h5DAV7OQp0o+3IoDlN0svQnMCoM4Jrtm7rRMuci+m5 Hj24XGTmHTIxBF1dtEEJ7wnMdesU5M1hIRvrYMv3RV3cHvNSTfY7GV8eG4qJ 5+xAVU/lK49PFeHPnzGb4oSo+LFK5nSuMQmMuG1VZNYycdetuGxqRj8Q/lRK qBpO4Of1t410a4nwacCecq2GgdEJmKhxehhVJI+UF3S34b3Gi9aFdQ24Xumi jscpMqa5SWbsU5rFJMFrdZmpcbCHj9MvL70BFPP8fSeFx1BWcvGGSnc/nlw3 PZm83I26dYOuVVkkfL/sdEZrqBfPjZ1L+PC8Dd+KPt/a/WYIa6dFbuSr5IHV nuvDDsdWuUPhjde5HhZafX3yUGIoBdcGdW85oJaLGLg2eP/21XkXue2vtsqh krN7bupo9KPR2FRIpe8slhlykBY6HmC14UZNxelJdPxz0ltKsQLDftDCUvQ7 USD41JY/yUPoaaT3usGrGzTuKxp8npzA9dRzoXtye1bfnbNma/UACv/TmArm 7MednLyS4z79KIqmwdFmJKT/ezhklTWIE6VXD0VPsVDIxHXj+6EC/Hc7Qljs dxsaKIkf61ydz73awley3/XhGpUhzc8Gg7h53xM+LSUiUp4v76rOoiBBaJEP dOiootVsnVTegbInDt+zDG/DbSmrwZpGxWf6KUWqOgM4Ff6qcetqb5SMGeUe bHmOHmd489dojOKIRMVIm3gnbpPc9bw2jIJKHpZfX63mNGH6UMjz1C5UFEsN o59qwH1Jv+nRnMMos/dJ8tMnFDSZvBz2MKEPDcjMWF0yCRT51BrOpk2jKVFb o/IwHbuOhUwer+3Grz9PXZxLIMKcGudAxOMprLlJrm5x64aXKknhvnnTaHKf ragqlYktc2Mc89tW+8aZy4a/UxDkPbtyH55lokmDFtOOnYZ/tx26V8nsR90N gdeFrvWCNNv2RbcEFra2axvfjGShjaJisMnPBnReI39uJLsD49azVSWKDaPY 1tEzPtmjOBGS+eHG3h4UHj2u6+DMRM9AzaYEZgeeXTxX/HlwCiOumxamibVj 72ueeSufUbRyqWqO0O3FdcKPef07yOjlG/xiGzcF41vfmTZ+oWOyl4dEgGcf Pnh2RERzhIHk77dg2YKEdUp7V0L4WfjAPz84xrkdm7lsJWvyScCZqPSLS3UG n6QZSU2WmsAlpT7zYncmpq68PVLxhIpGGsXmtylkHA8XbVlXl48B7kmlwSLj +GTNLdXvp2axjeOVh6B9A85cMBjan0UCX8vjbwc8ZvDXW2Ux6/n3OLFT8+dx QyYO3BBuXx/EwuO1/yk9Xu31uophg2JZs6j3IeV8KaMBn8UGO54SnEU/tbC2 yY/NKD4qL//mSxP6PIpPq5EZQ5pkBU0o8DHcD7oufCR8Au+3ZPsbulRiUWGB WXAkA71ZCj4Ov6Ngp6as0V3CBO7WLfz8gLcI/kZNqMCdKXzu+vq19qZWMLMx EPwXz0KzeNEM9lcsNBg0ZKbIElHZ5WsbddWPSfzVzwQ+EHBIUD15iJuFoZKh Bzx3d2Je8PeHD91n0UfYeX3ZWCv6WHGe+yVajpczG8q3Lo6jUcBS2jJPN+ql zxUQO1Z7lvYbE4HcCjihyVMRasDCgYh3dh5JX0HkJv9tEY9pVHpVkpMV1IU2 bcQrul9HMbR6zZjGv1b4uy6o+v7TGfQ6mhKw42wPZIn+2ME+MovdwKD9fjSO Er49dnt8B/HjS+nx9zeTMK/ToCDs6hQ2hJ3a7aMyhfPjbEHl1D7s/lfz72Vy Hwq/dRlWdRhF6XhdFRfTbhTsfXWS9XEM0+1b/VFyDLnJxlvTn1KwYKND61Ac GedNDy6JnaDjZb3egsL+Brx2IvpLjOIEVjxfWrgqxsIrZYquVw36kBGVOT+8 uQuGHbduCraYw9ADcvbETyMY72MUkj1FQzPHsab3KjUYIK488OjyJE7H8n+q tqGhghb7jQD7EXQzWXNaebgGNI/EbKtdmcE07UtREsc6oKxnyFdNaw57TIkW gdVDeIk8baTyfhS9Fkr+Peacx1/HOcrlkomoSAvqVtIfwLjrLN3bKWN4LeOl fyL/PNZUv/3bkdOBPRGNg5HlBBzneJTdfGsC84V96haVe+CQrTf3sZh5dDt+ RNvvYg+W13HqdcaMY7ICR31BahsG79EVFheZRMk9r11qiGnowxUUceQhC7NM LzYtHekG9Y2TTuPn57HNnWHtNNMJEu9NFEL2zGPHzsrlb78bYd3m0CbrHXMY m+zLXvPtMwT9uv+kMGUGIyMmesyM5lGRwrz/NLITlYbULBtP96Cq+pjZ+5lx DMzpUr+8qsObIwq6/GZjmKXV5uxh34V2O1hPReUn0NqMPXwsOR0X3ewWCEwW qsj9faMwMoDPUzfMFcuOo455eH7skw58xx4cICM1iQaLwt4zawn43ce79C1j Eu+Ew33Lm6v5f0lW1W92HJ/Ky57ndewAY5nE5OTEebxJ9Qq40NMNT+RnjmZL L+CohWaGwGsWloRuFNttQcYs7j1XNOzzMduAkuPKNYNv2jPKBg+VwkazbbtF 9swhY33vR+kXvfg0VTXtgf8E0nMuCPG558Ahi7TuyY5ZDDVv6BnjW8BPlNaF tdtJaNihPgvSbSjqZqq0mTSN/wPg1as/ "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 4] (15 + 7 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (7 + 3 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (13 + 5 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 2] (2 + 5^Rational[1, 2]), 0}, { 4 + Rational[3, 2] 5^Rational[1, 2], 0}}, {{7.663118960624632, 0.9510565162951535}, {6.854101966249685, 1.5388417685876268`}, { 6.045084971874737, 0.9510565162951535}, {6.354101966249685, 0}, { 7.354101966249685, 0}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.857359, 0.131106, 0.132128], { BezierCurveBox[CompressedData[" 1:eJwVWXlcjN8XHrRZvopCkgyiUAlFJZ1BlERJEZK0kAplK7RMhCSEkNZRIZQW SRtnSrvSVFNN+0zNNGszURTC7/39M/N55tx73/uee895nuczi91PO3hNJpFI MuLj/99yv7fv8P8tQ8nIn5nW9ziQfj1o9/CoDGkTyzK2HqyAONv4FOd3MrTd q/Pi6qtBcLGuEhvdliG9zCrFfLQfnT/IHjAPynA4nbdB7xIfvN3s8IypDIN2 uk52OtmOJHaI5toNMlR/+vhnb1A3KNXsKvP6JcXCX5bLJAoD2F07aW7asBS9 j0cp3DaWoLXry03GUikKrux3F0bwQe7G3BPufClmaJy1m0A+aMeX4dJGKVIb t/D8s/LQ8Lmy4bsiKVrvZyZ2NzBQO3A+k5QqRZNNX10zu0XA7rk/eWaKFNVP W541nd+KmtOr9yWck6J98PWx5R/7wK1wrsjykBQpfw/e31HBBNLgzVVWFOL5 anF/f4jFkDHrmtbLNVJk18SVfi0UQtDbsjiethRZGaFKRnsE6DceWVemKsVS xYjOa5dkQFPOLrn+ZQjT8zwK58wXgxr78Kv/Pg8had+18Ng/NZihGq6T+mAI KVB57dKpEhg13L0gNHII3fbL+2/sqAO9t2lrLp4dQpdLXW/2ePLB8PEhJm/v EArafcd272NC0I0P085ZDyH5ar2j0Vk6CH6hdf9GYr6t+9O2jW0Y1LJ0hubq IbQWix7axTeDtvo4fZn2EJqYVYcVzO5HE8rPGHutITTaxpFtWCRA2sb8Nz2z ifnX9ko2yjpQV15ltXeXBGtm2Ak+LGxG8xX0hb+bJOjvmH6Lsq0J466e3S+f KUHD/9Jua3RWYeS/DZ+fvZJg3GuVEqktG9yUY3tCkyTYHff6SO8AD+MmNOOV QyVo8s6zRJnBgZqmHD0nXwmqGSZfKlXhgz3N1WA3gVVir82KCWsD9bq5tR9n SjD9QOCo7YgY1WdvYGUoSNBv4uD2bB8xUDj75H3+iZGkFHy1dPNbYDkP/Pfo hxjl5DSelbgL0JuUW1xRKkZ6JBenDJeArQO3pbBEjN51B236goYwf/X98Kx0 MVLkfLNoOhXo2Fvdm0pgQ5Or6s6FMswonvrePViMOT4W+0t/loPj+sz5Tw+I 0XKJxYHL06RQse8/Hdk2Yr2rC37s/9iLajMXkJLXi7Fw5cpToTndWHjr1i5l IzE6Lht9EX5cgEbHz7W1TRZj5Ilt25sfcmEG+SDzRp8Izzne3faBuD/2k/SX p18SoaH3z6DxQDborjxhEuwmQvKpxoynS0QYUXnjVPkREXbLVTfEsqQoke9O /WUmwhnH/E1/PpdgBPbPCjMQYcxltSItpwHQyy9xf7NIhJ7kEvsVq0Wg9ua0 Zd48EdLLNxoY/yfGmOgCgzNzREjKKeuPieoDTYufZ3L+CnF4naPSamEvnttz PCa6UYhsz5vXLi5owdEM3zlJV4Sorr/xWcJPNnBbPmt/OynEc/shd5PTAMbu qr/KOSxErtwGifA8F9nfWL6LlwuRIuLMnm1ShrZ7ugdXtQpQxS/qhfxQM6br G0x/Rhdgzqr3j+vILKRddJnlmS9AypVJES/7atFNmli8+JUA6Se4/VM0O0Aw IduUlyZAwbm/54oXEPVbH5fqelmASnpaBwP7++DcrCeKkacEONFyJHNcxMec pYvIv50FaGjs6OhFpYNR69TV2mYCjDGXhM3TawHbHMMjrLUCLLRUkAS+7YGM tifFZAMBkp6XbLkwPQ4ZjzS+ZKwUYKLTniVtV8RANpvjZkJg+pqsuIyiEqg5 vY7+d4UAI+vyc56uY0H3GbWZNZoCdHtrTF++mwNBdYMsp6nEftBT+fFmEars VMvcNM7H8Q21nE+pTeA4r8TtAYeP7KXnd7Y+HADNWyv21/TxMfHL2OGhQi4a pcusExr56E99yL1p2AHaSeH5adV8DDL2lkwY84Bef/2qegUfyYYPPGsiSzHY oWzSj/d8TIflW1b9FmP+AWq3exYfWTo3vavvDCCFPuuhawYR384Iu2ssBsmI U/oXFz7Stzv6fLDuhIir5xx4W/ho8tDkj+lYP3gLnSevmMPH4Y6xVfu1mkAz MilLVY2PpPj1gvC1iGovtd6fm8FHb4Wtbia3JHju4VM0IxFxuTe/wlMFkH/L G9c0DyLry+7uA9s6kZRsdn+8dBBVPlvoj2QK0dA+nRORNYgua7/mdHX0Y2xf mag1chAph68MPDmKSAbTDS88B7HGuepXjjMTEgdW1KvYD6Ja9sLOMySCl0zn OwfYDiLt0MroaJ4EjNIsWzUtB1F9p84b92NsyEhKPvhv8yBqdnkFmsZzkcab /81SbxBJV4/fXzshQfYVvmKmziA6H7ql/HWRDEonlEey5QbRPnzK3Kqjjej2 L1bmM2kQhz8pjpQcqoN68v7w4+08zKnWDL9Z0Q3cSypuKyt4RD/vENgsz8RI 5RMPPxUTWHe74wjdEa1VlezpRTyssIp83lYsAkHd8uVa8UT8dkXn5vw85JZb bNx7j4fOjscCP54TgO6Rd+96bvGQ0rNnw5x/TeAtnrzePISHkfT7H8N0eFjY nJ+d6cFDsmLKrMKgaowbCn+le4iH3nranXNMGMhSX7S/dAkxfq7qku95bDQc 190wsIiHmfxq1YBjbKygP7Q7pMlDk2df5U11+5CcFFifzOOi9xbtdS2POeim 3+36tZ6L468bWq7nsHB8/bvE0FouRlfOt8v6KsZuXLm97SORx+/ndD1/i9Do IkVVt5SL5PRrTnJRMjAq01lklcnFGNsz2JBahhGJLw12vuCi+rqEqEkzWtCv cXz/5EQunvugPt6wQYxuwsizrTe4xPsuKHiyUYjp+2OjpoZzkXll77drHzg4 4ROx1DGMi6SQJWr+FQNgyGr0bArkogmVWussbQfb0D0Xpp7jYuz5vXm6ZzjA WpstN9WZi87Usvi4YCEyxj1FwzZczO+a1n2ziA16AbPjlm3nomDc+WOUJg8q 1qgU7FfnYqa9wpxjehJkzX4aM3kmF4fTRnJ4bWKw9MwuoE4m9q83Z7xocRcE vdF4ZfJnAJXc0g07VHpgRsS3JfGSAfRv7mDccSHqk9ezq7pnAN16H13hb/sE NT5elMTKAaRtebGUZMbE6H8BaefKB5A+LVx3eeAnrBFo3LqeOIB6pTV9v1uk kPh7UdybhwPoSVFzqokXA9OZeXkslnhe1z4Jdsiw+6WBY9CFAbQ/q+S0eVYz qP3u5GkdHMCafY8abz8TgMs3vZdapsR6DVVi7RccjGBa/wqaSdT9yjNa5d69 wDaWvguYRuynLiQ93qID2csdaF//X3dZzHsfQjlY+GKSakV9Pwpe/Hc1dYAB kfGmhlVv+zH65C33x+ZDUCPe56Kf0o/U7vtzXwsGwHPR+JboZAI/TFB06X8K Ev6MDT5n+7HbHj9014jANstjxPY0sb5u4aEvTVz0lMX/qXMgxj9hqrVm1oIt 5+j850b9xD6M5aa/qEXttFYfU71+dDsaY1WmWoImr09rWi3rR5L3nh2XGhmg fXpk1mglByNb/rRQtrIgyOajuyOBbTdZ7Vy1WojOJmvmnPnIQWf5Pa6uJC6U euTl3U/lYOlj53cJLwkecw40TjlE3PODpyuP6bGh5slY5ub9HKQGcOpXtfDA 8fLSsS/zOWj4L//nljMDyCiw6npI1JGJzp07nSc6wTztj2pKDhtp6+Pk4o93 QWbrjs6DT9lo3WS81Ce4D/TOPfSojGIj682hI3squ0DtmVzmvEgC355T1WHE Qsen5K2zfdiYETRl5y5/FhieL5qsdYSNdG5mgE9pGkwot+tWuLDRf84R/eRF A+CoaqcetJWNDOdv3V7PakG3oDX+z0ZiPeZyCWm9BIfjb3iPEDjj5OAh0xg2 On7hxezZwEbbQaMu6ZgY9HIWROsvZ6NE52d/0fYhjMlfof7oax+6ac3wMlsv QP815hY3BH3IiqcfuH69D9SvSZfc7Cb6wn6fSunWHFSa+WKrW1ofZpy4V6yz lsj7rz23lf37UNPHK+H8WkL3bL3Y+nJbH6p/H+778GQAaq7zXzpM7cPhGE8M Dq0D57pSinVdL3rrBPK2rukA1mC8VtaHXqzZ4f17o3o/Bl1oEPdH9BL14xXt 09EA1EAHsdzJXoxMujTCVpShbrlk5btlvahS9z3CQZmFhf/CKo17e5B0YvWI WD4Vg3TdIh9ADzruUyv4IxQR9/rv420bejBTuzWstV6AbPelmz0l3Wi+lWM6 8/sQZJQsOLYpqxv9Z7dRwgzaoOate9qRhG4k3/JrcGgrh8i4an2yTzfantMN WraUAzQ0jmw40o05r1NYT+7ykG120e+GSzeec7fzPuYuBMNvLoUjZt04QU7w gHEJUF8e3xvK6kJqz1yb00+J+KqWNd9bujCmsch8UYAUIiPUcoovdyH5RHAL /H6LMWYSs4X+BJ4evrJkexWoX55bI3bpwpy3Vuyd7kSeLsg7dq3owu4jAeGe zQJQCVHy9FHvQnsbtfb7NmWost72a7YKMf+TxeCH56Vo/917eM5EJ6qY7vaR Xvi/3t4gtsghcMxovzVHBvSyewE6Twkezo/c25vxAJwP9ZiGBXYiLa/VrjVk COzpnir5pzrR3vlt0qtL3RiXmjIqWU5gbnKt4Y9+CPppcLRZgxgvd4rTofkB vbUC9n5X6ETGGv3Nbo2VKNg18nZDQAfaXzrWNXN1Mwax4r2ezOnAaK8jl0+4 s9G533F9i1IHugXHfB0q7cG4FM6Eoi8LjQRmi11jhMC6Nihfa8ZC+kqL2zlV HWjSNT3p9AYWUr2DLbntxRi5yf6HMYFV9O95XMN+9P+W5n5xEQu9GXGvXnYx IU41NyVcg4X2jX/LPKsIPbc2taiKuDekjE3XG+xCQV3UIroqT6xnuOLBSUK3 ZOwxdDT8147sshVHKa4StFc1SszltCPt8ZDN9cVCoBdZFE+ubkc3rlFXO/KA pBu2JCWyHQtrXXLVFJrAX7bM/GFQO47+2dsTvYoPhb4yrrJ8O8Zxdm87194L ZFe+mmpcG1Lqv0gLTtUhw2NRht2tNjRJkJjUTOmEmD/ap9y12pA0bpUvrc9C 6s+LmWc/t6J9a8BGF28+0OgSt4wdrei3d1HMpAN8oPhYRXhYtCLTyyHkZoKM 8Hs3PAJ1WlE3YUtin0YXukW0eEoXtiLVXZJENpCC7qN3+kYEzjnPXb5JyAMq 70X6AgkTE6v2Tyv72Y81my/uvSZkYs1Cn5l+xH0enqx892MnE4Nmvd6WurEf lTwvjZXGMNFtU56f6mnCh5ACEjbPZ+KwoWB7+0GCP+am8FnqTMxQEe2f7D6I cZeHraqnMdG/KWrkT0IbeLfPTf873IL2Ny0PzXzeAcMreoXOaS1IUWp7eezo G8go/qI++WkL0ptnXbcLYgOp42T3nWVE/Hj13KEP5UjrfK/yi/AdlraagVbX +zEjbdPSHfNa0DxbXTWN4H3dmZtalsxqQXL4/k2OzYSPqwuttWE2I/fdhydJ B0TobJHWvbW4Gc+lrSwkPRIhuyHN705WM6rzlx19WTkA1InieF/rZqRN2/LP 7Wwpmmxv+f1vUzM65hZtVPDmAD3v9u8sThPqKuatC7nMAUbB6ZWKrU0Y3Hqg 4KajDExeBL7hZzeh4UHx1OemIvDWE5Z5PW3CcwENrz+MCCGmQf6mMKwJaxJU L7d87UCS8mDfg0PEesrlJpuTeoHxfUvP9eVNyC54KX+eqE8lX7Lw8IwmjH06 z2CWPOGD/Lf21bEZWC8Qn2bxiPV+vY07WsdAtu3Os5olVWA9tzG38ggDMy/Q /haqi5ClO+PR6f0MVNO+d3qkWAbU0d0z3I43Iok3+ckLUSXG6G32k2xtRHuT 9FnpV8VgWJbx3Dr9C5Ju/lpdZlmJ9HS7RbMFDUgaOZPW8q8OqS733r3IaUDn nVnJbCeClyo9FbRuN2CQsEOdm90LdAPhwax1xPh38Pz2tBwg9e0bS/pbj8Or H005tUgK9sJF8mt76jHj2bBp2Ddi3/O4hRqd9ch8q/VKQcADMj94+IpSPdGv L+UuvTQI9JNTpg1QPyPlUGiKjU8JUv5cbJ8Z8BmpjkYHjZ8QvnTNVSPpwc+o 2Xf27Li/BNyOnvC6GVuHscHrtBz8Cb7uK8kL0a9D0jr552+ibqD948XyV/7V YlDdtxVMYxHQtWb/c35bQ/gQWov5p34cJlWd7u+txhp20OuhFR3oX3R3YH91 NapMWXdzC68JSPM4r/deq0aavP6h2SuqgPwzy7hLhcDZSafCqe2osviiV/fn KiyV+S4yqBIjfSLd+HtqFdL93cU/PF5DzFSbz/vOV6FEOeHyoQ4pkNKvVlQa VSHZasHphUociClbve7p/7FcxyNfTcL/Fs+i5RLnpHlG67yslug/4FN2oJg4 N5fKzhda7TD8y7Ck92klMioZSpOmNiHd1lbOZl8lmvc88t1hPYTDc2if7PZW osqT8+6rSdWgMjnvweoFlWjJOlU56QYXYpxzNh77UYFuAq+wzuhaiGFSE77w K9A+x29h9GAvssW1AdftPqHbzrn/7L/WIPWkroGdxSeMszj1vpElQbLxKf55 g09YEWDyzZohwmF+3PfM+nIk3UnpnOJ6E3IcxhZy68rRRGuy/xcRwTM6SqOh meUYpEy3TnxD+FwNhQM6M8vRcer8/ReEhI/uimnjTCvH0p3qXnNdh5BR/1/K rpQyHJb3OHOS2YIxhiPjHofLsD7M7cEcigAMfTYXlxmWodukyL+OrC9IX/he b3gWHSXXLP01HkrAn5GWmKVC4IAUhVQUAXup66/jjoieGgtuHjopAXLmk/nX oz4Q/K1423hkCGm5KSZ7CB6LPOn4XS6KA6Roiuq/kFKMOJy6ZdvfIaSfde/5 72UJRl4P9TzJaUPqgdQdSv4laG0mu1E2QejGnYqHZmcUI11wW5gd0AiUl59P fewowuH2zk/bmRwgv8t3ksQXIv39hrIrNxvQzYX37cz5QqRN32xa1/cJ2DZL JpmvLES9DazYuHEBkurc01cJ3mMQ+WnC3IN8oN76ywhlFmDcYbHDITrR37LC LDR8CnB44y7TRwcIn+ExIRzd/g7ry3UzPW0HgVYUlMYZzUfnOeui6aoEX3yZ 7aC8PZ+o49dNK+gZ6Dam7CiX+RYZ7crn5dsqwS1wSesC8luM5v+ZbPWIB24B xwJShblolL/kU9ViAbDnL/olvyUXnXsufni+g7ifFlNTestykH14gPeE1o2U yYbGr+vfID1TO/0/HRpSoncYOcVnoeGJ7qtFD4jzf7tP2mqQhczb6lkhXTyg KNjbVxpkYk6TNHNVSCOQPu6+V1T3Esl+7+yvmnQDNSdkceixDKQ7Rr0rupCN FOU7e/+ceobsgZBp7svfI+VGdJpw1jP0txhzvy9oBnqAj76hcjp6dp2Jm9M6 iNQZvbXfxtIwY9RB1Fo6BJQbLKeH35+i7of2a9tLCN8/fKbXg/uU8NG/3MQZ RL7FBxhShRQ0dznwefY9CZJuXU7c55CE5mcvPNBvlgCphrLSwToJ46y1Mgvt e4FqEETTjXiEJjfOfpqm2wOksNnft5o8wvGeP8OBqv1A2jm6aUXyA8x4Tf06 u5KBpK2l8buj7mOm0e3bVzSI9TKi914k3Uf2SudJF52/AGm6pV1jcQzG/dj2 a1Z1H5B+vM3JtbiD1sl9rS3biH7RqXtdwyMEmTtXpFTdFBH9Y0iH9vAEmuSp rV28hwEkt/cnA7q9oGK/1drtp4nxp4699+oJANLi6VNI+pHE/pPPmhVRwTB+ 9p3VNkRfHA3C9+5XgexofsE2n8hHj7PGi74oyLS5W9ityAZqBUuHo/cQTAry NsbuIerhbOSmow4PwVYhy/RkCcEnxro/r39OANJlh7Bpt4RIzUgJLMtNBn+d AAWnfVwgSfOj7n9IA1KF/PE7iU1IsVE81eCTDrQfulP85nwGOlMyljbjOcT5 zFnDMybqx/mm3Cqnl0B/tEOytAWRVJ/4fb38a/DMvh6Xdq8fKPqXIw9avYZh MZWxwqWe0NUyx3UZmRBsuSJ0sQnxvNqpTusXZoFtrGIO9aYIKbBjz8532WB/ u771GV0GtH1dgWnKuZDIz6vM3kz4gc/xXtsickG9b9otJwEPKdotlv60XEhH pm3lKyFQC8XkR9Z5ULM9xNSpgoFuuUmUF9Q8kHsc+yKaPwhuHzKbyve8A9Jm /vyqkHB0y3x07HzLOxhtzbiWOImNbjsWk3TfvoeYKZsmO40JkaJ+Nn6jaREw ai+ErA6gIzt5Z95lcQn4z5nRo9BcjXSkMfg7SsHo7byxxPNDBD8664DKB3Db aQcO0EvooGUecfc+wHDFLtKf7wQ/P2A9FpIQYt41vMs6wECaXitTpIVAlwhK Oi/ngds4ba6/OR0MnRQPB7k2IeP13sMSCzqomHWtepzKAxXu9MHWM3Q411L7 LjFkEOwlF3knwulAGmUvPOtwDEntDJqDdRmYuJqKpqW1Al32u+RaTxnERZ89 fEV1EEh5U78+CigHipl4atHDXIhRcF+qG1QOtOwd90+aE7+X3d3DeVwO1E/x D9iscmAUT13aFlcOejM/OP9WFQN7xa17TwrKITGPWbltgMjXV/lbJxvLgX5r 0PLCklSIuTnGXjVcDsx/BVfkRvuR1qNDaVr6Cep/3aTciZMgLetQ9sPbn8Cl 6E5CzsFBoFT50iIFn8Avb7bOYzNC356rkfuZVgGsKzrvAz4xwY1fxbEwqISY Rv5prsIg5nDXTc62rYS4Ni/9951dYC8b9WT9rgSTyQqqtHYR2r+et/b0tyoI Uly5VdQmBfLnPWGdv6qA2ve0xH450YdW3M0+PqcarIeSqs2Gmcie0rk4aHU1 DJeyAwp2lIGKj0G+dHc1xHRbXNG+ycXhzC3bX56qBtajsIfZsU2gojmnl/um GmypzXurKYT+DNY9ObKnBiL3pQrm3iXeZ8lYwzOPGmDsjd0dZFaFw7EZuqK7 tZC+0128ykoKKjXyIw4/ayGYcX/TqwE20NaE7u3Sr4OYhT36R48Tekr/kuwi tQ4ouyMm7WW+Q/LW8PGY2DoonDZBf3m/Fcj9hh+EmUQ8Mvjs57NEfra47Chd /hlIiU+rrsgRfvVtjW/dic9g9Nq33uOZDGkuhzISBon4pnH7tVdjMSfCkd/h Ug9sofsWza0cZIz3fOj6UQ8kByVa6hmC5zZIkvkT9UAt64rKT4qFHCsrkpFq A/if8hNWnGTDsNFFcdHCBhgOeTJt9nrC15+4s/rn6gbwS9mYDES+KZ+ZhSG7 GiBmrGHT5njCx7y6wWEyGoBt/iTfoLQcyYH6pH8tDZA4L/zmiWQ+MtKO+VCn fQH6scXDJ34RPve08HC0wRdg2YxeW8BtgRiZTs31a18gw2LZ3bivbUCe7DNS rkzwjoWrr0avCFTUtdvv6DeCiZPRQ8eeZlSpPrBgyKgR/HjBvLPBYqD/S7Zc E9sImvpz217OYyNjc16gSkojRDs5Pr4UKELGlI1DSQONwGjNDopzrUb7TSbT Xow1gmXFMPP+TA4KFD8WaMgzgHL73N8z6/JRwGhYJJrBgBra42Ub0jrRLea1 Ymw+A+z3jKg+esUA8lrzqUkdDCgcWXn0/LxOUNL77n96lAHdMzJcV88ZBJNt 69nZ04l79CNDe2p2BQT9rZ7epd0EStSLd3b8xwddLfdtDVuJeJvCmXebWkA9 /XFBwdEmcI4II2XpszFHqmiwLrcJIo4lVzU/lyFrqwPT6F0TkFmRs64H1uCw mbWC2LoZGHOVtjjad6PJt/n6Hp7NoO19O8JgFw+tnU/vyj7ZDCqbrCet8WBA hs/hP3CNGH8gLcBJjbg/f7W1qLnNYFjOuPNmFQedTy2xMihthrgUjfhnPTJ0 m3eveva3ZqA+PFZSQBGDf8n62aZOLVDxee9ZeSU+Gh4Se4BXC7hNUZ738jcd Mq6GHvsb0wKSEeH3rHHCr/x4+kv5JXGuI4o07wOfgbXyfk6rIZPgs8dbnv5X D9avgrnXi5kwmrq7Wf+hAOihIxq+jUxI3H3l45pDXKB2aUZbipjA8DpPqbAR oXprSnKWUiu4Ka7ITL5TgeS7S9xt9FqBNOl7wsgRwteRa3fHQyvkyN+e+kf3 //rRSPutVyvo3oh/WDUuQtJ9usmS862gPd5677kOsT7XZdbiyFYYbokvS1/R ikH6JQudHrcC9YipvMHBbPCvpx9iPmkFWqFZvpNNFar4U9LkM4k+SwvsebS+ GCiLZEbBs9rATYoqcSfqUTd0eNmy7W0gwA2GHjbtQEtRubXPvQ0i+B6+Oz4R fD0un9tBJ+71bOFvnYQCVG8Z9REz2oDKCbvE+sOD4d1zQ+kdbTC8epXp/jQh qKyqzd2q0Q7qqfvar93loIpJ5XDzgXZw6z268pdxLtj33eaHRrcTfd6xw2re ZayxthY3pLSD4XevaOATflBmUTAx3k7owhdkgxAmGh71vFI/lwVuRaqiJetq wN4mR23+ERYoSbac1vjCR6WoxXE7fFngvCb4dcc3MdrvvHjQM4wFwXG5QqfQ AWBd8iJdU+0Ae5GrjVqaDJxdt/5SXNgB/pRd27LUiTrVv50Vv7UDChWSvLj/ tUKMfn/nCIFn/KoM2rNaCM4bi3fnNHVAjOvj3HYnoo8ybQLtpxF1Yyq8UeBA zJunLRds1glB0yz1dstJQKXPqE99cyew9qWHcXTYoBtbxly9rRPcCqTTfs/v ABpl2fXFOzohw2XBbfLiIYiZ0/vkcWAnsM/DOjnPLqCXD/4xoXdCcPj0bUob Oeh2TSVVICLmy+p0i49JUTd16V3b+V2govBo19LgalRqynt9yawLNGeG9fqf EqG1ofHdomNdEHNqe8Hxs3XAss1U8KZ2gXqEid/cda1ILxpezP/cBYXLg7+n MgaQvE7VwZTVBSzzt9vUF3OBJhY+m8rtAs/C6ESyKhfJheWvisy7ISdPxc6Y LST4MdB+RkE3qJhH9lnVNSMjeppdpYDQ1dFpWnvjkoDilDymNdYNMc9nb6IW 18D4s/694ZN6gEWY5o0gQ8pYqpXG3h4QKHZuj94yhDlLztrc8SB0brRxcMCS YKBodjO6L/XCsHmH2a9tPaj+JmnI5nYvMAM3y+/5Tfil9y5rXsT1QoZgf/er azwodMqJtn7WC5G7B/7cC+KidfgyX6P8XtDNIVlddxiCSI5BxST5PrCPts4P 39KKpM+c4ZJ5fVDzwa/OZozwq+uvfX+kQehi5ZxBmkcpUDf3PjPQ6gNBWkCD kYMEI2nhpoXr+4hxel6Nj/qBEZdEt2juA5OL4S1NVzoxZofO8SOL2UBKsLYz TST4PQknHXFmg6GhtWPPMg4EFexdGuvKBpOmbhOPZVJUsm/Ocz9FjB/zu+ER lozs9wcli+6wIYOsO9Srz0W/ct/fXQlE3WX5lj9a/QBIvr+fz/rIBm7ishM/ OzigJo6Kv9xEzBd3zb0y/S5OcP0t46VsKBT2/DeW1Qe2laV+CTI2kJ+ELL/7 uwkmNFb41ltyIDNlQl//DxuYV6w+fT/MAUr9P3UtTi1QD0jPFVE5QDu1VS0q eADVX6qRPj8l8PuKdJUXMswPIT8rTuMAU0pWlL4kzsuJWpX3jgOj25N87lr1 o/bgm92VLA5kmN5Oo7d0IdUuef7cbuK9dzJezpAfAP/JB/rSxoj1Lq37W5BQ B/kJluyPv/7/v/Wu5eFrmsCoaJau4j8iHnqRqdHFxwiH/qIPq4g8u958f1Gh H7h1U558NOsn+OzH5KVvWtDR+mXcWot+qFg+L6ytWoYmz2nVjnH9oGS1Sunx nHYke14IrOshfJJbQuG+xkNAWxDktGewH9w0S/uKXg2h7Rq5riMj/eB/aGbc eLkM8v8uXaasMQAks6Zlv6chjLozl4VaD0C0S7zJ1h4eGCU/LBu3HQBr+e0j B493gOdcvpXEjtBVT/qcv/eXoET3Z1X8ngGgf07OOxTPBPN/B0c/OhN9Z9SW ZpTaB93fj/BrCdxNC7VUpgrA7dEJiYn7AAgaF/jXqTSj85R/pF+eA2B+x0VD xViMcfU5A8siifjzgr+BAf1o27WcHZUxAPWDlf22q/txRsWHKyfmcoFcwmeu 08tH75tLV7uuIXhBBiBJ6ELH5l9hWhQuxDbuPvrafAhs/daah5zmgvW3LFYf i1i3Yv7sH9e4wKWuSdSL7kfzNTH37fO4QFmX71z0MQf8m/rvytOJuog8nq1s 3wT+pKKOk1VcUGF8sfldWwPqLvujPrG54O9YEJE4IkY5ctDKYiEX4jRyV1Vt FQPNa8en4hk8YJX4O6duaQO1W9OupC3jgb2O8UhTg4g4v6l9nj48yFS1N5Ax hyBdNXqGehaP4L+PA1RaNVp7ZibteceD7szAEPNnRD/n35Dr5vBghjtz/tNZ /eA97Po8X5HwCdOl1s+12yHY585sTcNBiJla6vxCxIGK02c9/dYPQk1xWdNK 6w4Y/Z6t9WTjILAfz/nywPcjML7I3XC3HATP1PdgpM5DuW+XuNfdB0Fi+5Zz eFo/ssuPVtw4NgiCkUPKJUtFqKTTe3qa3yD4J/KMFN5XotGwNLj48iCMJ9W8 7tstg0xJtaA+fBAYk688mZtaCZEf31qEJQ/CqFzUSncm4YfqlJLXFg6C9rWQ e7UzhaCppXbZsW4QEjez9Kb946BufeyrLwQm/UnP/3ziOsj9qQw80TcI+dFD 8/64C0Fw93rIPPYgaDocFTYqCYFWsLj1B4FJwwKv7cXJ4Pi5SfaROwj1fR6T lBUGUPd1z8eLf4n41ash9ha9RP1kbhLN54PK4omDX+4R+j5dYeC5Fp/QzenM nWmf0V6mW/xCnw9KwXlri/X46Oyb52m7lsBLHR8torYgaf+7n9nr+DC6Bcm4 VQi6qxRt+nbwIZivoW6yQwqFvkvWnHfig+fGOXWKpwahu1KSPNuPD7Q7nMm8 ei5WnLCYbOTPh/Q7JRd9XwmxMCrDrvgMH0qbHeleyoR/iQhIWB1C4MKHPXGV RF5cH58sfsAHUlze1r7cYMhxgof6sXxQK09QVF7Iw0T9bkZ9Ah8Ya65N7dUs A5rH+c3lKXygFt9eqlbwFD15r+I4nXxgLcpOjiJ0nqb/loioPj7Qi6VxuV0N qNSb8tT5G5GPpljtHU6NENR8HNdPFYDK/Kiv89awwfH9CudN8wQQ6d2yR7ZD hLobkam6QAD+FcH3P83nQubjaZd6FglA/cRCA+ufHcgYq3lYv0pA6KH1lyWv WkA3KV7lsKkAaMwXD2bxWsC+1yAu0VcAhT2Le1fFd6PRSHNcb5AAnG3e/zKw bcGcuiW3vj4XgKDkuPWMmf2oPhRo+bNIAPkzlN/Un+eA83PFPyoNAvB8fj0m Yo0QgmbPHAjuEoDh/TsBzPltMGNAy8r2qwBcyAcC76YLUKmO1jnyWwCkIBfz qvpmJO+SqGgZEPOOB2bO62SCUZvdhAeBYwb/prqO1AJlv6dPW7AQTIKLYxLP Ev7X5lOB9z0hWHv+y9xytAMsPQ6f+NMgBEsTcopDIxfdlsttWzkgBO1/ZfO+ sTkYBPMtn/OFYO9yi+wYwoKYzp/D5atFoHQMfULc29DR9kpMC4HZexeRye7v UZd8xlvNjPBFNEeL4jmEnlllSR2zE4Gz/OL+qdlE39frnZK3RwR0h8VOjzUE aLTF2YFxUASOT8Z2HJvLActsvy3T3UWQ471kX8XlOvDfOe654Z4ISOvC/+1n vkX6uEh4IFkEhcYhtEMpxH0/3XF8MF0ElKj6weLSzxD7qWyEWi4Ct/Dw7Ydt JDhx0LwmUp7wYWATckInDahU3VdzpouBecHg6ZdhNsZ2N1xLnSWG4bcd+7aM tmB04bo//80Wg0vdvJ1vD8hQZcrGg2nzxUCtfs7KUkzEdHNfFzszMajrLnGQ kHg4Ma8tbaWlGPIVSqWWOVxwW7pzKPykGEhqr5onPLtx9Ajfc+gUMX+mitwH WybUZyjkbckRA9ukdOrc6gJ0zlvn4oxEPFe02079OUpaTkVc/ETsNy7Gdep9 Pmp/26Y3SmBu9TZhKNE30xd1fePUisH66tFQnWt96DzgfMV8gPA1Zk7ZP1IZ IKfzrIskEYPtRlVXzTARGhqU1abIiPjDdX4twAZt46KaAVUJUMMrJ01VJd7T oj+TpUX4EnLCRdaKbsLHao9mLZPAxP2YvjHfQZTbNu4n2SYB55ax3e0TYnC0 UTWU2y2B6PFP72/7ScA690fh3SMSyMmf0q4l34JyhvfT8YkE1FetmNK/pZ3w awLrzTnEuL6c6ucviXPT3uO69IsESBPNSkoajaB9aXj57hYJ2DbOfxG2jej/ tikbGpkSSLxTu6nxAQdKsxY8WPtDAvbf50XVx1cgZcXJxx8IXU2KuJEZsSgd M2Nml/evGQK3FYZqJZ25SJ7Z03th/xBkzlebkVMmQslZ8tmtwcR4+f3GaX2R SFmQ7GUQPgQRN8un7g4keGvb0cqQ6CGoP9OC1CjiPrCp4UnJQ+BNFrTbdbBA Im8j1f44ROR/doe84hDkzKiRUcuHQKXWm2vK78O4jvWtDwie82voOzTzFQ/O jYpe8qVDoL5dI8n/cQdoxmTdrPw7BC7zN6smi3kQ3Fe/+rSCFEibcEVhyQck r3pU932RFLihNTkH7fsJP0zbbr1UChPfhnJe7SL67A+TiegVUlD68X7zlgNM iLALjighMElh68GTNm8xSPnv3WwTAlv5PHhm3wf51YvJ9E1SqPimm/jTXogm OrrmufZSMBlMrzOzlaKj78VmD0cpuGmf/kb/RviF6ctNXQOlIDk/6/noXyFS EyKy/wuTEvqpYMz0VBuUHl9d8veaFPyuVs3pOy3GoDMi8XikFCgWkslrG1qx PmqH/LJkKZxzXPg3+KQAWJ5Vb8JqpKA3/VB6nX0/UjYVD1t+kQL57wZGk1kH nHtU18WfkALj96P77CNVcM66Tr7vrxQMa1fQta9IkeX3/L3GDBlQI6zD5j3o wonpyanlc2QwvJi3szWtHZ2fjvQe9JGBkgafwTbtxEi7md2/b8ggdiopTz6Q 0AGzFCMMb8tAfcN4buZoJ9SIW+vmpsqAZeD3N+pFK2rWZii9IDDzNHVc/7YQ tUeVtrk+k4Ge2Cq0crUQgzZd2rC4VAYMfpBoKJUJKjltRr6fZaCi8TeyY4cY 6jO1k1/3yIA2Y8zux186/A9e0SMR "]]}}, { RGBColor[0.857359, 0.131106, 0.132128], { BezierCurveBox[CompressedData[" 1:eJwVl3c81e8bxiWFEFoUWWmojIaM5EaUhCRFyUhJXyqbhsysqCQkm8yo7K3b 3tsxj3E4x3Ec+6ShpJ/fP8/nn+eP+/O87uu63peoha2+JTMTE1PS+vH/r56h 1qeXJVW46HjVnFj2DYrFzXiW2SdhkPyK6VIqDX7evkEpe94HxSM2x9KV5sE7 iPGa/3wPHs+5++HV6jLoT2n8sNf5DnEby5i/uPeD4Yjgrc0npyC8PKT56wgV flmmNu2wGoBwoQcdM4fnYIwr39NyPwO27HfLMvcYBduO0JKrX7LxsOxBH99P DBA7LPznoR0DmA47TRXnjoArf7p07toShHmuJi/rjIJ+uGBbRtoEbO7Tt6eT aaBzvf2jc3onaBXsDNZumgf9Un6eOw/HQMlZ+D8xazq0SK906Z5ehL0TZWq3 0kig2Hb13C/uZaB89JcJvDMAiqui3jpBVPDSLNgpcoUKPoq9KU5nJiGcmqqQ wTsFO1aeMCq1krDspkAP+/ocQtPfCmZ6B4CNiSe5T2wW/l1N5NjpyYBU7tN+ nWNE+OsZcC05YhnU8gbXLlr3we1CSjJ7fQ/U5wUaKZ+dg12BU2yHjMfgx91N 79oapuGo741zDJYO1OIIsf8d9Q1cq4RlZuTfAuVnUrGm5BJYVh33anBNw0i/ 8UDDd0sgrdtQl2LJgBfesdQQv0GoeHYwnMV+Anre2rC7X5qCEkc7m17jZXB3 Fi3SpRDghzDxQ/nCN7h7oE3wfn0v0DKHRqVKW2FlYWuaeuUcpL5yu0KIWwbm dy8T9goSYGRVSbHpEB30L9s93Bg9Ac6XyLZ/iheBh1uqkSN3GK5v6yXbb1gC dcluYdaPRDD8s+1uw5kJKBJOyCB3U0HRIGxn2vN5cPPbPl/73xgcXH2APNnL sMP5lsO1nG5wXra8yNaUjwFasieYtJZAsk/N32gvHeRuvLMwGRmH+/hmo0rt FNiwybtrbifDwNRovVc2A7wbTkrZrM+P2y/vqXDsBLnUimcdyTMQO6D8be0F FVzMl6ouaZBByubmaNxrBiTFtH5VfNkL0d+ee8df7IGJD/lR3+7RobjoEP9h Gxr8Pfp3kVYxDlmdSo9/SM1CFGsw/we+MRjlNFvIqpkFtV1/1IL3joJxQ/mD VslOKLWjTy4s0cHEctcOzz9LcNPzuHvc817QDflleKNtAIIVy2333qSBUcfG O5vLZ+BOCvGkHGUUwqoH/UGGBtY5rPEHno2D/pUX74v3dIKIBH/N9690oLWW xTi0LsEvAUnmkvheONElLBvdlAI1pVplKk7zIJfv4jvTkAQ3ij3uzryYhzDN oeoT3jPQrXIosCVlFGK/6t1Svz8Le5TPRBlaj8B+sVbeQN8OqOMo+dFlTIef Wj+kKAKV8JFXdtjg9Sws7e6rNnZan79MdofPwV5w8StzPMlNBOG3Do9fdVDh 1rvCLw+4qGB+z2jZfGgcSi5I+ie6fAPOXfP5Dsc7gZ0qaJ4fvwD32dJXCRcG 4FFNZAjHiQBsM7mnlRU8D7WzclVb+r5BgvmZVoJOG0xcGUyX510CsV3y4ay/ CLDU+bwNFr4i4QFtv8/BRWCJ0vP63vwNZCwWfByjW6Gs9WF9o/Io9A466wae noTXRnlQM9YK/PGJzTcqp8Gi2syZ6taI+iZb5k9kLALzA534PzdboUWm72p7 +DREM6+yzlyrBSmFgiLlRDrsabxIpKpXwLUfhDesFjNwuYK+WcKKBpr64vFX M0ZhKHGk/nnxJDxb7mAJ7yXB2c+9scxSOah55J3C35B5IBe1Rjwd+AIbHove FDowC9uzvJdkcuuhyyvef5GFDgc+DBkm+g5ijJ3uoud5BpQ/XrJ9+WPdJ8bO +le0dsKztOX6qXwG1HILKq+0tYGXnXXBzql+1BgZLGf5tQR7EqtfuvGOYlVc 2Wb3HgYohIevWDsuAkMSUiRaemBJPog1+2UTFoZweRVpLMKG020nrzQxoPW8 kN7Rc60Q/ttA8BqRASGropONQy0QNmFs8qerG7c+BBziWIL5GwZgvKkfJm9w 3WdbmYQX4nLSlbVNUBHMl74nhAaPK9v0tdcGofApyFUmU0B6M+d/X882o5Z1 alzqwAJk/tagLqW2oETS2QvaGxfB95BRuTfbCOSVK2ecfEcGjY8LwyYKs3Dj 9HbNV2r9MFVowqKRTIdHSzp1qmyDoDOY/uf1Lip4an5XElsegXtK+jM8RV0g JpvgbHGfCptebV/h0A1FmdLtQtvrZ4BKD50Xu96CQiytXSlnFkCsbr9jA7Ef jzo9tSNvWYKYo2fSDm1tgTtCt8f2wxSkPiybf77uS22P/asDEyeg20rkbcdc DmYRth7MOTwL43M7ulPp0yAjyDad/rYf+Ne6W8I+9CPla9oJkYb1/Zmcuivx qxl0H53kbO6lAjmapsQf3IldXr4WVPcFcBTYrc+dNAkBzOODR68PQ+sN2zDj cxRYlPMf56KNwAP1jKZjY+1oL63KvXnjAoRuS5K6Mj8O7V9WCgP5SbAQXdz8 YyAPVw7Nlbt0zsABf6LUVBoBqoyild0uUEDZ66SSnM0iUGTOfXq80gp9emft twp9g8VJT7dNYpXwM7lR/vUfEtCv+dNmlUigOp/N9Tl73Y8vHczaGtkM9lYv JoVlyfBVoObssvMI5JgzzQ53k6GwRcHdN3kYTuW+dZS5RMIbMgkqbMFLsPVx /olqpgbsvORsK0CbBWLCB//JHSRwdDnrRVEhQWiQ6ofXClNA9dlz9GdbP3z3 TE0ajScgd+3yUU6hBfjcNppw+VI/xF40Ncq8NwFzewNP32HvQhdh1/kbG9f5 oPNV9OSvVtCuYoLubArImMzPvdswhPsessV97V4AlysstgexA/YVNtv1FZLh wKmemu0XSKg3r73oWLkIjeWcbx3W9VnJvcUp1r8HrJ6UZZl6LkFn40JG0c9y uMXpbxr1vh3swvLXzpuTIZlo87ZKYQBKd5pc60onwYz3f/sdkxch4cTZ6Kby KvBeuZ3ctX0aYhibJy5Id4Niz+vthN2DIOWW9XvLQRJEeb+9fO4AFe4oHO8R kOmFqzFGEefW99o6kalAabEfTJlV1NTlEej1vctXN09CyOCKiGg/Ea1py/KX JBbgU+UtyV2qRBxzBC2FlnnQi2IqUzhKRI+FD9ljhfNwNjH78veeTkyOUHJu TpwBe7kGb8VPfXiRoClpfWgOIl2lW833NoF3euHYFHUCvGovAJ2/CVYiJvL/ xUyA6w7CzpjvY1glWBqHDgvw5+HuVIf/5qF8qcwg7WEV7L60csEDsvGxcfc5 kwwqXHIfSzlVuQSeBsMR+TrxUDvwfpP6TD+yBBmQNsjNQnbNTKuPNAMqj7r0 /9vkBgfsfXcZHaRB9TMLz3c9rRBoRfl4u34R0snq8a5PMuDz7R0cDk97YJXa zO6YPAqBT+rq4m36IULq12yk4TDIgAa5f3USzrhscLh5pRO8flRYXPZbAPNL 05s2uebD98yR/S6GreiepOj1rpcGk9R/Cz8dB2DWNos35hQRCkXbRekmnWBJ UWTq7RmDSI6AWUk3OmRLBVzLuVQHTf2v+J6WU8BiRpGmuKULMj8e1kpMLEXx eQOpdh0q5OfXK09njCO/R1zy0afzkEfn7as0aEP6b8oTJg8aJBwSdFyT7YGZ asVF3fsj0Mg0rmj3axK2ZuSynd/TDjOWieyeLxfALuL2fS7lL/AzK3TZ6nMf iNmWfLHgIIL4SqJBs3cxUuO2ff7XPgl5kmYESzkyfPK9rJfe3QkWj3wDZ3+v 50m+4n2ljhpo5Y5y3ywygGIqdbEWR+gwKc1Grt63BHqKkbVReW9RXFRe79PL amjonHl08gwJZLI2llbvHsRTJCVmrj/TwL/zM1/C9yzs1t37ZDaZDOLWciHl jsMo+KOGub+RDm+y1GSZnGcgpHvdBHvzodS1MUmjsAkPXQUpu7ZJOKUfy66R 1wG2ZpFcSi1DcMF51aI4dBT6GQJfNI53A7/bKUenJyTkdujO9VCdAdGqkOtG Uz3gmBNow7fUDyufBF3jtjTAUfVLzo1Hh6Hbem10A4UMa8XCuUKHG+DZG++0 mBgybi5X0nwUMQtlHub+/9n3gOinicd5x/shYMaHqr1/HszPeJ+0uOeJ/4Rl 54JvUkHm1t0o/XeVoNRHkz5d3gD3Thmzfk4Ygm5p++3Vjk3Imev1z/YWBfZJ vO8t4eyA+rYzuy8bDUC8lpLJnnfzkPBqRf1UaxJGHXsckD+fhs4fLVS9z45D 87Px+cOadLD7VNwn+i0J3DqX3P321aPNnM1nCQsyhAmLuvgVzAPPMcXocyqf 8OVp/euDjXVo7DofFzczATlNCbc0t4yD0pKte7t/A1Cu6ZW+7ZkAzflYXs6Z asizDsh87ViJPC+Cq3jI40D9W6572HVdH/6/czO+lGM4w003UIkOKjd7M5P8 XCGLBfxEqnrxFV9XrOWzSWh+4eKqf3QG9E63dSnyheF8SJBDec0Qzgt0/139 SgWx1YZBYxoVOtNnJNLTPoKbVdF416Fx3HLZrFitgQY5L0/O6HV2YnnTWQ2W YjKsJqUc4b3dhU0m+kY6/WRwWZVoklci4oV5U2G9z1Sw3CJ9hvCOhOef5SYX a9Og+zfJ38hoBip9i3da7UlELfaaWhc7EiZJFuc9PkSD8BkloSKmcaz47wf3 gD0NRCv/eoWkNINi3gkywb8XfgvURYmSmtBJ84/5lMEE/AngrX5Km4Nf4lUa WTLFqPCeeS5n2xiKO7Z56ZOp4CqYU8R6ORHPgqHT5eVh4IvIfZpA70Xm0VzT U5wUeEOtVD3DPoT3UjdS+SQmQdq47VGv2yw8Cs10SnMuROif7+JfHcYs3wDX bPokTAxPdT1dK8HTZv6sV7xGQU08MP9O/jQweXU96c38iGTWV3uqzfJAAsJt Odb7528rVufRDhJQzj7+KfS8FHRudGgybn3FgJ6Ef6SmEbjIbMgW57YAmop3 61b161Hppcqn0PX7IispfgHpBZB/jueTbuAESlu2vL+0cwoWb5mS43na0S2j zXU+lQSCGsOD7eZU3G7q+fmn5DSwiNxl7b47AWypnqHHvTOAi4Prse10J3hX P1fdSG6FlPZR00CFNvyxrN+tLkuCOM2wucN3+oHz4ruglOe10NnndTdu8zqH wOrpzrBm/Pfp6ys3/lkwOPMSI7ZXY+zQoWcBES3A6fEj8C5nOxznssl+YDAA DnapanfHq2BN5YFxjAEV58UamWRkaTBgtuz99Xsvfi518Y5KHYdM/uat/2KL YOtXYqZDajfsaBs+7cAxD79H/mb+UW/BYKXWS0W8c6D44f4Jrpom1M7u1XzP MwRbHmWuxHgWgK0va2xAbTdMr2UTXy1Ug9HNm0+MNudBVNGxU5buXRC+Uh98 LKoO1bxdF1U0h+DNf5GTB7K7kN/x1JO0shFgjt7vwL2BBDw3NvI+b3oBmz7V yVgKZ2OkksmSitF6P+Psucyx2opfxLxrmU8TQY2jZl73+ATwbFcic1xIRNnX YdpqD6gg8tDU2NSjHJPMjlxvUE+CnJyi9MOWXZDtWG8YcYkEldeaPgzx2SL1 MtsR2wdTIGl+aCHoXBWS9hc0bHs6jON7iLp28uMgEaG+q9W0DSoaW8fbQ6rh voH15FfHGejC6ROO4q14UPR8n1UxGSW0reoWhShQe+yJnojuBK5e1LsgujYB hyPqkKhAgWtX/8kqfCjFJ3GSCwHaJLwbNFhbnj4OfSpCe8QGx3CroOezzSbj EEWzWwyzGcMsRkMUu9I4kGddbCsedGI+r/cEX/MgOLQPOW/bR0Ep0QevHCrJ cKFHZ37HbCpGTXKWberrAiEhA0FV7wJ41pm0YZbRBPjmbFwuSyWYkExTz1Dr ITy05UDbUClksRFK/P9rAHg399brXgtKbpUTJW7sB+L1pjm7pFHg+ceoWdZJ Rd3BjSm1uX247fCF7xKjROAI4B+dGpvAndUU7cPUcfit+fBphT8NeSsX1Dr3 T4IbS6+R5e0B9KQdlfzvHxHei5994BBGw8hVfrk6lklY+0uf33iHhpwfTszo TVDAJzh4SfJjETzLevR94n01KDQ4aX93nMJfPL4hf5LIIJ9YWpjoNom0iv5z jJsTQHtxy7+/cxj6pu2SK37movbi7psymhTgCqoLff+kAa82r97jaazEGwGx N0iHOkE9kJH9QpqMamG2fPvLSKDDZKi6QZuIbqm+0kWtQ/Ak97bk66EK2HxS 4JU5pRTi4lVvr/JRMcS4wK9baAJ+fDo+yhEzjBqcl8K1s4fATdThdNWBUTzj xru48zkRQkQOxDLgHVSIx6RcLqqC0hdHTixIdyKV9ewHgZJ1flS8fClIuwbu +Q3sG+H7DBYqjLKTKyOYUHF4zM5rCGRZVns/lsTD55ijtc7JCDNfxuVi1vOX Uzpnhm2+Cj8OtZzsjhnFH9/uTqn9HYRjVtXYxDuIM0eNvhc09EGHzKlOxbIJ 3CSx4XuU1QjM7Jgz/BE2hlu0o+uerA4CX26U+pHQcXRSDTARbySCdrii7bM/ kxjkKOTidoUEK84VO15wT6OML3ss28A4vKvYz9ry3wCEfxqelfWoQFPnFFx9 14MhB7ZU8Cx3QfdfOXECXwcmUWZ/HOPrgBpfWrZfExUl4+TJAdYkAJ7rBhtu BkF1xgXXTTuLwSn2iZtdbjeY9rPfvn8nB51GhweyEhpBs3Ry29xpP0xxM907 /vkrGJ3RO7/VLx5Q2+OR9MN2YCGy2IbwJePx+3s1hG+VIqnajF3LoAZKmlyK /V+2gL6a1DM+10RMq1JMN9w1BWoxZI/RI73YDc4mNpu6kCn4O9cNpnZQXS4r KeocR7KHV9UW30FwTdlQXD09BJ7JfyOGNda1+XOOubYvDSLWR/44lw5fmI8W l4RRQOyeiZCWQg/SlK1LrET6gGK6x9xCowpjGhuGFXI84fXO8gcFZplgzCZx TS6cBnlGHh3c5QOoovPw+E6dKXCTD1H/8LgfqcIVOcU3aTjhsq5DrzH4+Uf5 +4mf0bgr+p9hhU0O0EzpJ3m7x/ECrfF+mFE/vL7Edez8OTrsOqH9PYtMxLJs yavGsQl4QMre2/lmFlSnj26dudmBW9Zea7EU1IN0W+p8k+ZHNI1mMLeXf4b6 0MnBB++nIJj28I2O/iBe+cxvuOvhEBRsad2zV6AFj/7cV21+kYBa40fCuAea Ie0LdxybCQnvufzsnQ7vgQyVyu0e+ZMwdkm86UT0AGq7hH81exQOKrZ9EueX nPCKYkXCB58e6Mm4pW23WIc8VgwdSBrBb/ZbadZ5nfBuN5e108NarJ5uHzH9 lQdssfpDQ+7TeFNwWk7w1jBQI6NGdTtHsSqDfm93bCdQzR8HX9q5zgMqbxaC UjuhZDBh+eamRtyzIm2k+KwAxtckyn5opYIR9kPNvo94KMfYR9GsDD85XXDr eJMIbkUyhEaVSojRjP8d3laKperNjr1t0xDyeTWTtJuECbnRXIv86XBUma5o uZCN7+5dKfVnocNb1Te+216RkD18sLnHuA8U3nrteiPQidnBl57cEKmFexvd UvPYq5HBx/p3mKsB3xY0b55KywDByJXSjvl1vmIeZfbfUAxzJZHnj++i4Ey2 lG3T3m6Q2j1NUF/Xtwy7lRyTbCMcddvxbGz7EFR4z+9N8V3vxTaRN74fIUPw Pr0rHolEdGkiH9s4UAflAfYyzCKN+CJJTXj+3AhEVBX4Vpb0of6ptpda2lVg 3TD2oTayHl/d4lLvOkDF6IRQDfZdPaCQsct+e90EpN01tDuhMYwVWa5F/et8 b07Nr4goew49C4+Nk5PHwf5OSXjgMSKWe9yOui9Lwg3Hj0XeKm6AiNkptcc/ J5HhUly6daoL7vW3r1QZ0kAaH+WNjY6jh3jepltmFAi6f2qIbj2G/bNC+VbS iXg5QnO743g5vhMQswyOHgENtRZ79sxB3HJxbe/TMRLce+fu6pU6jE+v7ty3 5Rsdrz6pfZb9thckO9yaVRSJsEPiirVy+iBmu1XWBGyloKeVYkxFUhN0qHOU PNg/gAkcudzmlZmQpekem+ZHAba5m+1douN43e/xNutJMtyTer7DroeE5nmj NgNbyHgBr2gtxNaD+I0LHAJfq6CgQ/m2z2wHPicVM4IPzmHkuQxVH+yDOqGK 69zXJvHa4AsT74ImaL429/jqOxpwxH7hDhSmoNmPvPnbWoNYHouvj4wlA1U8 8d68DQ1TrCWtGf86oOnXvphI5zH8Wk2Nb/UugjVdq9JfBf0Y+Upg+xONcJBh OjmiyNGFR+fHzhf3JKM36bUazbEFtKSqDLWsCBhg5r/8RLUJFnWO9OSpEPBX l2ZHizMZz17PW2k/UQ376Aez+zZUIGF2qmnnVDVypO13SDrTBZ3CKg6Dtf34 8Gzn1kl/Ipq7m0vSbGLhIEF/qD5sBo3Zg8Iimrug8Hfyl/ILRbDFy6z4bWYX yknWKLygdWGuBGPk0aNs1F4PmdryCXQZl1FetC8DQwNe/8Gns+g0wL+/grUb 8h4QbXWVxlA++sR/m0UzYEJ+/MSnph4UOeggqX8nC6PvaBsZrFCQK+wvpe1p NURaPDOc/jSD5iSFfezvOmFxW7zEfEAzcCy3sYnu6Mc6stgcvx8RKt/+GHt2 dQylWl2mN4wPwbW+08YtX8Yw0I8irfe3C7W3vtDkEi3C74V0m4xJGl4n6dSW qDaC36HypdiKSqC8jkoRxl60PaZtJxPyBXTz/3m8Od2DltFV+rd4apHX9HnS pdF6dKtK9Jfj6EOHe46K7EO5mPR3a0q4PA1FZ6OlTLAWhH8cH+u4P4WEyI+G mYPVwKBd0OCld+JJmfi0VTLiraqG9BorCnTw/6bta6XgXvo0bXyyF86tKN0P +jmKap+b37T3knFghT9IRS0XnL8UHtDe1oyOmYRvGox6NBU9a+j2kYCFd4zP Ss2Uo7KPTfmkSAskRYj5nNtPRNsHvOI+CVSweFvsWtlGxZn9xw4+lxgAwX4l 982lJISg1ll22T68d/SAwKuVUhRSZl+a1+6FnRIcBXU8JPxcdVr2S8QM7tIL tPj+twGcnU5UldsMwze50uYZswnc2jBxvf5aJ2b9upokR65DocvaxW+PDUDj rpZCM99xHEqOWKkzpACjOE9h1IKK5qKBUn/X96SROMD5RK8e11Q6EvdLDYBf 0E4n0vdxDFUQ2NfHRcIQlqgqj/xMnAt4avNgnfOYfD7UdSlMIXH5XrzzAgHq +YLFaLvG8ZfWwadpelUQ4M7EHn2TiHODjNj376cx4WPDXEZoKfxo3Ouk7dWF BgFfFrlbmnF2TjqKqEYB+44NynKPpvCa4hLjhc3oem8ZL+t/ScEaheMZV+SH 8Ob5D+Q7m6twZUKqfM05DXYNsN63shlEgtsEBzO9GHZeabrxKIyIVj9TqIRL RPBssWIyoZExKGKHIas8BUVcbtn8bvTHkDtLVSc0CZiusb/X7VwT3hLaq+1H 6wPl4umbtrQJ3HGHtcS3tBx9fms89AslYMevRqMv93KQL0aMZYNOH/qkxpdk XapEBkdvyYp8L0p+f7NKPEDE4uWzdAKhFtVnONwasBQI0aly/VyjWHJMX6Bm bhqLQ4XCtu7/BKF2TgLbZUjAVMj+/vxzKmYzPzdjO9yHE5uyWCT0W7CWyc2O fz0v9JOetLTRKPg4zC4l5NQEypvtcOZOKcbEn9dHr+aGY6Ax9fV/D4fwjrp5 3Nb6edST9z0uSUfYxC9sefv+DBr98vYijX+BBLVTjX+2F4Lb5C9WTsoo+o1u 93J8Mo92Hz5F8CdXwK1zLGshLEMoFvBWm3mkCXczF+3QGR4CzYtzCk/XOTgj t8BHV4gEjfadL3sKp1Btx2Zg3T0JJdv7jYTS6di1WZtTeL2nq/w58sdpGx1/ F/xeOFpRg7crj7Vw1vejy+izU+W6DTi70TCzk7kf7eOLzg1fnEWe4rzmosoY KGqL/Du0oRivHK0HQbFhzPSo6z29zl/Zag/1Yjpm0O7E6mP9uglkVrR+Svet RadwM1LZVzLM6nSlZjjPYDlLOvHQ7gVcrC7K/czxGYxYpjuevpvDSi5Ko+Sr eFh6rnrv4vE2YNLfFcZhQUEFbVfnqlwCmqS8KjRyJWCgj9slVhIB1VO8Xx2O I6BtctAV05kJ1N3zn7WnVD2mq4aqf7ZaQJFx2TBL5o/AFHc9s1JlBEaEy+8/ 15nGF2Hr2LaTBC9y5YN5DtPx4CldW6+lPrgmwnaXjzyFK5MWc1llvXjEOKft 55Y+/DLUpsya24aLe9/q6QsM4eBLyd8MvW7855u/UV1xAF+Jj+667kbGVB3t lM30RowZ7TUI+TWJyd6ZNcev16KtPOWzIs8sytOKLmXIZGDFcdWplVtNoMxk wRTlOomFF280ZF/rwtak/FCWz4PoVifg5cJHBpaDcaPE1Vlc9NTilrQlwdsd 7T/Orr+f5LXALkPjXnwgdsi/pqgfHxhJrXm/y0PCRc60pAQS6qssxB2j9qJf /DN3aXo/rtjXfIygLKK5zJAp29sPcGRj/NgdpTnsnHZUfPo0DStHThEOBQ4A paDBq+k5HTcNHFOW2DoOjaKhfkfS5/DxWkqZsNwIPjZpYTpF6cOwDZH8PL+6 4UFI+xcjx2mUl8hOGFh7h09c9c8IZ5JR5JE+H9WnAzZfNLy9pY2GT71reoLa KuHEHsFDwSNUrJ6LOaNu2Yg9lcVBC39I6FP+6gzTs1nc0Z4t8ZS5CnPUDlkp 3RkBnnpjfhbVOeTIeNkzYTuPwRSmG4aZpZiapNfvcZ2C7GXF25mvd+PqdNSh pMV+bKm6EDqxexirVThP6a4OYffb0jd/gIgnrn2pq+vqQvFtoWmcliQkOZzc GWM0jOoaZjnniEM4WhBwme1WN4SydvOMf6cjq6dTZI9vN8SOn/vvsc8M/rtd 9VRSjYb1lsbsp0M7cfMGkxsyS/0Y1VQj4ykyhpfSpKI6j8xjsl7hjVj9WmST ZSypsYxjlPX+/W++DSIKsL+5kEhHT9UNCQt72/HMXNmesMOLuDwdsF/nbyXa vl9SFT6SjvrH7yb83kfFDQb+RfI6c8imoank/aERBXTuP/NwJ+IW/uldh1NH kdlM0pJ7bAkrQ4lOBKdCzDYTyVTMGIKUXUshtgcX8I59PZOFNwWFjhjYOtr1 48Xgc3Te5U5gMZQtI61zg1nY+a9DI41wLE4pNOrYDKZU6VrsT2fgImeXavr1 HEzavm/L5m0d+OuYmJqKNRkz3AvWbqZWYkQqIfqT3yR+nGXb2lK8iKQ74Xdj I6ox74CE6WOuIRRwTjEJciFhaPh7/U2kfOxiLbjy9wkVc9ik4xklLXi4VWSr hQAFWW6E85j8bAdxkThJ54pZNHhe2mNWSUGHlw7nuZsGkB3LGC5yDPQsmeC8 eqYMjTR4Q1W8quBuBov6xRU6qh8y6m7voOGjD6Gr7uYEFM4m+50U7IRWpf5m Y5k51Lv+8jbNnYrHzfUDg8P7Uf6vYKWnai/wLklttPw5j1vcl891PGqBI7W8 a2c7Z1Htjd6ny6lj6FTUuKY2PIZHR4TvilxfwoBP+2UWbGvR6+TZvY8Ig3Cw WnhmymkRe2/xDKfu6MPo0XAJMxEy3l2tvfhsvUd9lT4dzPpiHs+q3d3k/mka A/Y4pkz86sXyt3Qz+95ePHk86K9lDhl/KkcydpbM451pGY77IZ3IU6KsYJrb iK53tulyv6bixo6/DdJ+U8iSkhluv94HncMIlTsiy0G2QuVv1vVZjPh3h6vg bS9O7N6uff8KBdnsAzXvSI7gLhmWCEPlCTy4Qqz+w/8NDWx4M0Vyq9G39OvI b+8aZAimGxaL0VBgZq199lA3tNl4LXdILOLG+8IRJxh9INidFLJn3SdcJwTY vXkD8fBD3m+iDDrWJPfmvTEZxRH9N6c43CbQQthhJ7v6B3T+vNMgMJaOY7K6 bjVyZdCeyrjhfm4OD5yPyiAEDoN86KB+GHkJF1bFWoo/EME9gKZysW4JdzcQ 92y0+oYhpRLCDz/VopFeO/dXGIFkHznuozwMZE2jFBT5EPEUW3Ja5BAZuVkO t3Eu5+GZ7X1t7M50nBCKK3S0oOFDG/5Vydp1rja8f8T0OQNFFNtu7shuxm36 zEK5Rypxa7TBi7K6aXw+Z+0h/HIBX0m/Kko+QMCPBz4mDe6ew8P2DzSeiPVj 2V7xkCcRFFRS/3FTIJSEd46r8tr/q8UFuwdDJvbTqHpU7MG+sSzw5nrQpxEz h34TTK+rvKPxBeHBy+M7ZlF4l8u+PZq9+HPTcuVyJRUVB1pc3Hwo+N6jf99v lXHk1nZ+XxI7ACUd6ksXDjBQ+53zlNexJTx84Zfxk4Vu1Fn8Irf+VkCLVdY+ Z8LAPgeD6cumA6BbWNrJrcLAG0459axrIyjNyA46OEVBd3Z/tY+TJCxLfRsR SlnvITlvxDyPUPCK5ryTCdsEPspv/EEVpGJ9OEkm6fg4Zo3oNapklKMbKee/ 899msP29EC/MDePJvIf/ieVMYnxI+hHaet+XijH9OFw6iqUD0Y6JBlNomq7q xVe4rufJxOlbfIuoznsia9m+HwN/+qZz8Izi113Dvol9k6gamh/9SJaBMWQu dauNPZg+Hc8p3EbEZXZRLZFwKp4Qut/hn9yEjkzcBqp8M/gnNPFLUDkDT6lO P6zV70YRfRf53WencPNgt2iI1Tie2bbZSpWrC33YXv+IW57G1wui8QQOBm7Z JP3XaB8B7704QKjkiwdZrl+yB9wXMHdJPb3p4ijiWP9ln2NU/Bn5/tQu4wX0 1HZLm9QcQld2XSlrj1FsMsszYwug4hBmyxYTFnEt/JSYiPgAikdIsF2t6gDB B1ob/YQZmMDT/DnxMwG+Jr2JONnHwM9WVX4det1w9MzeqiseDLQp173yyJUA IpH/XAx/Mdb56Zop6ycGCt7Qnqpm6cVhZmuf74Y03FDyfcBu9wTWyYvsa9ZY RD9/cVqaMnE9L0NnNJnGkRCwTz04g4o7X4jLv/5LxxMCpj6EZRL21eh7/Do9 iDHDarHzUdOYk8uurraLgmUFqucVnk6ixK38XL/IJSy1a7vLSBpE8qn2u3Nd i6j2ulWG4ELEjT3OpxlzS+iZe20ianYAnyaLOSpNDoL6DuKSnMkyEtuHn5Uu LKPW8eMOH2S7cY9EfIgD9wA4/fluzCe5jJyXn18QZCHhFhnVa47r/9FnHBP0 3qYbXYLbziTozOLjbaz4z2IBQ4dqHC3vjaHqmQ9brTbmQnphvIlk9BLujRzN f6f1DeWz7kf8tuxH4S33mYV/94PHefbZSudlVOUbsw3d348NpXPxSS9mUO7c m+WMngmckmRWNzSbQqORg/rK57OR+tPs6kTRIloczvT0Se6GGY81jnv/vuF5 avXGLuk+UMwqvXvAbxnbFDMMM/3DQU32tPNmvyXcVOg016O3hFo1tXPd10cw U0V5wWCxA2xrRU4x53/DA3we9q2K09hHF3dvCaHgotiIoG11Od5P/FnwIX0R c2YdTXa8oCFL+0Xyv9uT2HC56ESR01eUsp4t0f68iKwbr7W/9myGZuuauLG8 bzj+++ZI5ZMJXKF3v9y+dRqjtxtzlvTMoPCZirf/ta37Vz9ZlGnDEhYwqFfF bpJQ7fshgtKmLuz3uzj78MACXm8JCBPr74UxG9WfdJnvGMRsyZO07RtqCf7L ElMZRp0vpw9FmJPR16s8mvsvDYkaR5U1Qsh4dak+zW6Zhq81wUasJRu9fJ9X WAQtIZ1LPNadZwm5SdkWAe9J+OfQ+NXTzdMYuxy4edp+EoW/dcs/fR+EnCl7 zUTUGPg/KaSebg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[7, 2] + 5^Rational[1, 2], 0}, { Rational[1, 4] (13 + 5 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { 3 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (11 + 3 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 2] + 5^Rational[1, 2], 0}}, {{5.73606797749979, 0}, { 6.045084971874737, 0.9510565162951535}, {5.23606797749979, 1.5388417685876268`}, {4.427050983124842, 0.9510565162951535}, { 4.73606797749979, 0}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], { BezierCurveBox[CompressedData[" 1:eJwVV3lcjO/XnrLVT5gSKtFQEUIoEjpToii+IQmpJCSpEEbESBJCJYqKiUol KhWVcqZN+75N0zZbzdQsJdIivM/7z8zn+pxz3/fz3M8557quJa7e+0/Kk0ik x8TP//+Xj/6tKx8cRKVFKnLu4XzcmhEyuIDA6TkH3COmSnBSr+dUR+cgusR9 8T5mnofNDz5dDiUwybZvQ8xwIeiQoPoADmKzMtASz3FA/8URcWHWIOq3PijP f8CD8rEz06kZgxisPv+JvaUAqdX7U60SiPU+G8zrahuQoqscx44fRIfJ9eI3 4e1oKBiieq8YRL2sx0+FKXyM0ss2vqwwiDm/cxknFDuA+dnc8VG3DFllXjab hF0oaB28titZhgZjyuZv1tcDmdfgEP1choxw5faNtrmQxLgTZnJdhuRirW5L agnQQg6qjVyT4ZB/SsQZXyH8/P7eV9tVhj9n/FCvb5CCUualE9ucZMhs/WL3 4TkDfV8E58nIMlRQe3T/SHETOM5Z+ryLK8VQZk7oUdE3jPoaMOd7mhT1Zbxf Uw4MYqeTc9aHUCm6ZUf4n1zOg86HV2XT7kuRnLWmtrO7GUtOLB7pvCZF6h6N uX/+5GKE7UeFq5elSJEmnHi6dxBooigF5UtSZPx6OxxfWwk5j19ZNblLMb72 6J5VukLwKTjiPX0Xcb5H27rTVk1go3JP8HGnFFUvWHut9xEj5US1XcUOKSpA ZvsFbi8GMy6s6V1LnOfWpVf2v3Rw5Ex9cXy1FKcemjV+TIOPzRzHYe9RCfG+ Cd2GP3OQlba4RKlbgj6RouzaJXwURdz9+5stwZ9zedsiPDhQkqnzTb5egi5y J3bI1lUjEy5epidLMMrvvN9RZQk4sN/HWROYs29imu+qRlSY0FBMC5eglenW /XN1msDnWsaHlQESHHJ9VPLUrAz1RGNtpc4STPJ2OPVoLw/dR2rKVY9JUHDP ZGdhrQxSNy1Nn2pOnG/rEpjo3YvUYemKrkUSpN6pMg3OrETPxe3KGtFiHHu/ ddfZHg6qGmq92ntfjMZ/R2xNvvTjz+Mh9G83xTj1xeKMmRF8pL9+c3fbeTGy VBX8zYLF6Hl/4Z0MSzHmHI74pH2EDVOfB8fMXiPGCLnxKWRRPzp63FdbrSdG Uu2TdyuMrqLLTHuG5lQxDu2FgOhlXaDwzD5P/vsAkvzuyK1Zl4K0qMiTjtwB ZFgfuZk33AgS55kWd3MGkOp87cOe2EFIn3Yp+1EEgfXL5uoqC4Ce8yZ3ImwA 098t5BpmFqFPlKOVl+0AUg4nZC6yz0JG2Zkqd60BFDVkbskmszFipkKhnPIA Gpe/X2Ek6kTjeJmslnhPhmNaooecEDophq/k7vcjJ194YNwxC1ys1j3dc7cf faYfChyfXwVj7pdPbvPoR8Fm7WyrUwOQsz/JdPJ0P5IHXDPYJBlUs37lVlj1 o4uC5RL5kgJIFZeM5G7uR9YO7R7XJBGK9LwcFCn9RP9aGj/YYoOTe70DlBf1 o+roq2a5ETHQlq9lPZzXj1O9zD5q7Zdhp9L6npcz+pEy/EY9q68AygcfJCpP 78chycuNnzsqsNNIJ1G1U4RukUvitp3mgOG6O+0/6kSooFhzgba5A92+h2/1 KBAhk/+6Z1tvMrJKFuKBXBGGhpa06BxvxHjun9nrPouQsSzgSaY5UX/GmVDw UoTULW//C9nNBtbOGOm38yJ0SeDqao0WoG/6q8d2HiIkffrOmhbUg8abG+23 nBYh56fJ7peCQiiPqI7ce0KEdKqJ/Yuv0SAQnAzWPSzC4K097w7qSsEtO8y2 sEuIISE4o1hLBJ7TzV4szhNi+tvUfY32LKBs6XZQvCZEuuvoK2ZhIzR/SjEt OkXkm5x/T6FxIaQg987f3UIUnQyv4TcKMSL6QWGOiRA5+lMmkmaJwFHu0rkg ihBT7xmlun7gIDWgVLvnSh/6zGmPu7WjEVTtxqpEG/vQxnG419llEPTmj27W XdmHlAnv66lOBcjoeO93dnkf0nJCEr8e4KGq0Vk7X5U+NNCfO8//kABp39XX PPjRi/SS6vmWy9rAnZ3tFf29F6PqZlgvvNILmv/+ynLYvaiZuuH0vm084Jjk zqgo60VbfvvHI1+rQXX6a90533oxafpEfdX6bjQsPl+ge7wXc1jHDVw62pFx 96hs7vpeFBV6hm30aIOxq9t0C6b3ovGcKUmrx/hg08G6EVArQJJJeZBy6gUM tOpSHcgSoEvumJY4qxZ0xmdtTMkQoMH93Es+pTyQLFKZRnstQHrtshH55a1w fUrsSMBLAWruXeeQ9JUH9CdGiT3XBDhUZb4k+msJ1ov1TXQInNQMe2r0mtCR 4rxLdkyAvl/dhuX0ekGn97jeZzsB2g2smfJ5IR9jtkkW77cVYP2tbVduTW8E hvPhfzabBaimaq7tY9gBdrOc9JuXC5Bx+PzJ2X5f0cZ111uyogAjPC2XrMsX gO9R89Q4AR+Zq7tGeb4VmLqAeyKLQfBWuIZf6eluCF6xTqX5KR+t6vY0eHo1 I9Vet6rRjo/53ut+LjvJweuxv7M3KvMx1JkWSV7Hh+YMesFEEQ+D/f+2CROb IR6ru+fn8bD57VxnFTtiLsx9tzcil4ekvwZLz654Be73voc/zeChZKlSWfBZ CURgYc2n9zy0kb8mO8Ml5vSMfTueveFhyLFBypInEqRrshvCI3g49S/NSdJE 8MrThvLaFTz0AXcncmc/6rVEBZot46FoetizhfkD4GmWHpu/hIdZPiN7y6uk GPxT9jNWk4fkxOecHWuKoDN51QBO4SF9WlB8yZLXMIR6m6g/uTi0zHe6K78I s176LwsRc9Fg4XRpn3Iv2vk9WXeZRcS3/rbMTGUi8yvX6ACTi5Id+dppXB4y Lk56LX3Mxes/lzp9IuqC8skhaOdFLtb3bzi5fawdfR629cXZc9H4TCt76ZxW jBCRNpL2cNG2SvvZsqxGdLfotv5sxiX6JubnieBGGJp87my2mIskUdDjmF3X IcLManm7GhF/HsXovcDAqZYeD0anc7FcbzJ6fKwX4qeF+D4cI/puZ9tytfMJ aEdevELcxUHmCdsHKvL90Pnib+OeIg4aHLy1c5diFfr2PvlxMYrIX1ysWW2a DIxOidl7Sw4KDg7T9tA5QHHDi5s2Eetvn6H+uMZCPRU3U+XWHqQ1Z6wt2sQF Jov0+nt1D0aYdjjWWAlBL/TvtMnsHjS47TLWETiAakuUN9hm9SDl5ZwzjVtq Qa+9ZmFQWg82e2dpkJUGkSafUhC1mMg3Y9SRthLzffzalXmKPehyo23Pk8/l wLQ0Uctu7Ub69A0LEiLSMepGflhIczem87WmmZqXgVq+qtH86m6C1ySyyL+V aLVBV/NWcTe6hzzetnC0A32WtH2+fb8byWt/iPnK7eBw87zc/s3daBFAYy9L 64ec9ik7M8u6UEHT0vrW0lYwvuOTeCStCxl5MKdPoxtEF9u8fgR3oQFPP2O1 XCWM3QnZsOFiF7pBpOqjpwNI/3FlgcY2Iu5sjg83EzyulTbaS+lC28pbs3bT WkB0fOf3rjld6DPV5P2cwXIsr3QqzVHswizt/0gTpoPok9CtsKWjE+v/jPSo EbyiV/mxSrW5E9Xq/trEs/mopn/ukLSiE/XMX7wdC2KDmofZQKJNJzpuC6L/ qZUh6UYbK624Azl6tQcebywDB/KCf47vOtD3x/YdGTOE6PA/7g7yvQ40rhV1 J3yQAuuN3bIduzqQxFazThoVoDutZ/yfUQcy7ryqy437Aj7ltq9itIl7C3O6 FnanF1zo6/0OKXXg1p6tpkVu/WCVVKVHL2Fj1KF5WW9OySAqbmFPZgyBH7RR SlW4GPr2i/kPTzZaPfK0PveuFxnbjWVmre3IND82oNL9GkPPNS61r2pHW8Zy /05ivte7vLqyM7YdQxf6/OF2cYAp13K0XrcdBairndMiBYPWpcvCpxJx79F6 a8dioD9o/3s7iIX5Gw6kX9QjeONDzdUDFiwkx2yiPv9ch/XjZf2hVBYGd7r4 8ze3AeOu0GdLchsOdeRVlyoIUe9wQR//ahvSL2m2GbcghO5lLKGcbsOIZzsP y78XQbrygbh1tm143UjwXSWgF6i3U7oMrNuwPPPo228HxeBg/tk2TrcNQ93e DqvdZ4NVxvbpz+TbkKIxsvT11QZ0MVLXO8xvRQfDlQlmrwbQp91t6H59Kxpc +6dx34eNoqL/5uRVtqLh0gweI4WHofrsMyYlrShKmC+yftMIofse7l3t1YqM txO3G8vZQFlQGrZsVyu60GxTHA61gU/JeNz1fy3oY5IW42Dej1S/0Qs3m1pQ pNplM82hDYNjV7+9eqIF01eKwgTzOtAqZY2j1lAzZt2pez7jkBSoza9nhLc0 o8scS9fihXmYfvdBgnFZMw4dT3jw9JkEGRZrolRuNyNp5ErTXG4TKMzm5xdo N2O6if7KxVbtqCauN9nEa0KOh/Gf0PCPQOlq39KY10Q8h8fuiUAZUnK+OP3M bELW+itRbxSaIdjq9mNZShPalju68NpaQI0nf+q2D5Ffe9g0/zIXx/w007OW NGHItcg/FigDg4ZDQTPjGpG+QTGfzOpFqxXdHhqvGpEaN/tzm3kmDB39ZeYa 0IgcXQv2nBmV6EPVHCiiNhJ66MUXivoXJGWveiVn1Ihqe2fNN/nYAwYGU15O X0/kL10z49MWMYry1em6ixtRB/Y8rWviQM4/usOVww2YczzebfbDLqyPIp1W UWtAxoxHuiELMsFgkJv2brweo97Mkfc17EG1By8m/GbXY71f0qTX8SKkRnBe 1N6rRQPhKGqtEYBLbM9Xz181mBSo6Jw11IIc5ZLdKkU1OJSy0uvmPwkYNDut nZdXg1OfN73ZtZTQ04aaS+0+1aCq+rhF2QoRph9m9F1wrkHO7qg70bPLkPmO onrqWzWSI8fnjb6txfp5OtEMZjWqBvwpD8sheGslp9z7fTWG/knaVvBWCC6M uuUTV6sx6XPzUMkUNtR7Pab5XKxGkb2ftlchF2xVpT5KltVIP/WnUTi3Cn2C 1ECqUY3u7N32Dc1dECrTyc9PrEJb809Dq5cXgwvmVB6fV4VTT4doDnn2Yjpv fDmNXIVkRdR/9qUbbNvYtx8GViJ1V4L+GeVMgicsjrKsK5G5YLIkTsIA0uLZ dSlZFYT/S9728DoXfOZoJhbsqMChfb8MsF0G9RYta+vlKzD982Hn7zdZ4HIk OmJ3RTmSnrh3Nqpmo8/x5L0bnpWjQ8w5pxWhPDR4MSUt/145Mls0Ny7VS0dO 5tFVEd7lGKE9135FixiY8nKLFmSVIX3UbY4vmajrs1WNVz6UYcSPsC5VKaEb FZcIqqK/oULh7Xu0m03Efg92fqZ/w2Dteezdq7oIvTH9cNjFbxgzo1/x+Hkp 8fwHRY38UnRXybAfn90AzPVBMbkhpUgz2bUhtK0LhqSGnTy3Ukxt0zco4vch c5Npog65BJOsggc0+6XIXEI51aFQgizdHzqz49hgWyi81yRXgqSJGxUhkZFI av8mb/inGMkqGhttXjYQfeKbuT2tGPNX2Z2ZLSF4/zar5LU/ET9wo0bDsw5d +O9MSDOL0erXhx3PhnuQWuRXJxgoRM/oifBvJX1IOqwvSiAXop7mxOM7BZ2Y fiaquI/GRPL+rAjOIhYa5F66ZkHgeqNXydeXyICa+CHlrTOhY4z5zFWZvUj6 sIPm0YVIOvjF0/rFY6TC3E8jt5DgOe2kkI5GpExWTzpMR6SZh/dM39ADJCe7 qWbPC5Ckv22i5HsycsDoR+OOAtRzLP94/nk3Uhu1P50KykdKf3Gg53/ZwPnP 8VyaJ4GvWPf97qtFutr8mfqcL+go9hptbSd8/rsBTunFXBx7XF1Se5iF9N5L tNbZuRjMPPhkGbCQFCXoCxLnIGPaSunZ0W6ghhjK707LQYNZwefHThC+ZS3t SdvbHCSFvejYtf4rUmLKZzmcz0El16ILwhghUISDyeXrctBYuXDD+CUi//nL Fb4KOTiUbi9XYyRF0t7IZX97P6PB+dHxL88IX8xGQ13Tz0jdoX34pxYD6RcU uy/1fML8We47dq7nA6N/tRfrfjZaZVl3S30IHvVs6A+6m4kiyoOUA2YDwLyb Nf1u0ke0YdpVbvg+ANS0z5mptz5i/ku22zz/XqQe/JP/+NRHJPUtvJ//uAEo O1uu7alJR0YceWraOgFygkT3h+anI/360LqnHaFADXWbOpj8DvWD4g/euyQG anmzx0nSWyQl9n9R33wLqCYdioetE9Biw+oZCm+I94lKHTxT+BLp3ueZH22j kT7krvz+XSw2W48s3O4iBbp7+9ZhxVhUWKUzNjk5CPQit5Ahk2h0F6xa7eRK 4MVaoOLyFCnZpvznmYT+trGQ1BiEoed5i8nYvb1AsgaN6FN0ZLbdTKTvJe5r Pl/NQ+CPSouy/bd7DyLJYu8p5ylX0KbjyEHeTwmSVnaMHZ+4hKR69pqwr65A Gor9Gtt3BO1sk67eWs0Dks+bDQ/2HAGf4Lj3rFXthE+/5z5ecRRoYaC2s6kb SGGnc+x33Qbq0o+xyddkQPrfcV+lZ7eBouW4SK6wGkgJq9cFT7kD1L3k958J XUtqLfzHuXMHHPselHu/FgNp/54KNj0IGBacONfZxJxZ8zkl9O89GDM6+Pzv pn4gbcl3CNodCqzm15NXTYj3/zVlrZgXCvSxrx2i5BYgPatu96qKBFYw98hL JOrf8rdK7I9XoMZyOVlyhZgPm4xLjfAN2Ox+EB7pKARq7/L9kqXxQPuwaf4Z fUIHJei+G1+VAD77PuQ5+dQD81a/64WUBCAfW53tVViH1B77ANfWBGCMiMa1 rhD1vzZ5Kjgkw9a7ASbHPvQBVeY1UrUnBQKfnZka/5r4flWGR9RbU8AicHwg iCUC+vE++w9l6VC/4tZid/s2cLF1KTWSpgN5Q65op1YL0lPfV+bFZYLLucvx g7R2pETYxy+0zQKlNIdZqx8Rvuy1+34LhWwIHdzuMeFO1Kvew6ztdz5DRFjN r8fZRL8EfE6sYX2GELKBUoACFzmu78ZGT+aAuzfFL/o/FjDkyxW7K3OBVXFZ /sVONjI9oxlZ6nlAr73Wyh0i+vdwzA/J2nxwcXe2invZDy6cD3VyMfnA+Fr6 Ry68FphFNzW8y/MhVY8k15YxiC7uD4P7Nb6CLXXZbC9aMXKmGDe0eiGMpfww ChA2oI/ujFEdFSakJziick8FhD7k3eH7MWEoXsj4oVgD9QapA42xTHBQLPji zRQCI5lXczmFCeSzFnXkwSKw/db89/IAE2L6mjc5L+Mi2bt28SLLQkhXLyp+ vpoFZKU+uxlHC4Fu79W36AYbqHbX19JOFIKa46WZV8+IIf3jd8u+gUJgVdua TYw1ID02JOiYbhGUO704baYjA/LkI5eL6UWg9D790ZrEXuK+SlvkqovAgn1a f5ErF8jyl69bzywG4yxNb72/YmRcWDhDe3sJDNknVIgXCtGgSXbjmG8JuFR/ nxe+pxDTZaTgtf99A4Ot5c98nCsg/dFE3d6SMhhLZDOUV/SjwdDi4nUzykHw N+jRzGQ+0A07c8xnVMDYkI69StcAUvllBn+PVgAl+5Kea3EnGCQav4vbUgkK wbuMGFocYDylrTU/WgkSg5OBRwz6kXTZe/rk9UoomZE3zWsX8b1GZp0pfVhJ 9N2T0gNGn9Dnglax5cpqoHWY8hf8GkSyW8fbU2+qgbPO3xsaamAo7FQ1ybQG JCf9FlFLhcDcs7TGfnctiAYalef8qkfOiojzVbRaoHY6rsk0/IKUmf4Fujdr wWXY6pFNJsF7m7+MiHpqgWR0/6pg2yMIJee2aC+uAyWT50vcFhH8etTEecK2 Dny56gqHWjmEvvo1vPVxHVCfalWff9wI9Wt2bLr4rg4YSrMzHCP4GBqTIng1 ux50wscGg9SlENqdHB0ytx7sPijlhNtzwAFo/xOcqAc3xQ/RO2bywfj6O4/X D+uB4hMTlJ/OgvKnB3zrpzcAyXUy+1QhHUVeqemDmxvA51VOJPt3J1KvcwP2 WDaAS3tex6MvMqAVW7/TP0zkV98VTfueB/XFiexpxxqg+hBnA1lVAMaLVked pRHxKMc/Hgb2YLCHP4tKb4CtyUMzF+hI0GHmFJWwogYQfN0xq6V7gOB1FrNA 1ADUVuUShdeFWH7MN/ikmMC2O+b8p5wKoRcmj1KVG8HHzMVz0a1asNL2MWpW bQTKoeKMWvVCVPvPf/4Ll0bQMb0w3bxHClHaW6YUvGgEMmlrtpOU8KmcdseI BCJfa23ElLw+GHMYVp2VQezXmjwwP74ImY0xymsInOSrvfGiSTtEWXqrH+Y3 gmOpx6yJv2KwCpj/eLNWE+jN9XvSv5Twt4q3yJfLmqCE5vGGFy1F8pofbazW JqB7Vf0xmE3w9mvrcK9+Ak/cKTvviugQGVzi7dMMTDu2//O/aUCe+PfnHjaD RdWhaxumSlChu8jEobAZ9E/oDkxrFqHo3cZBRkkzKFy/6brpFQcd/jzJlZm1 AOVbfGietgg5NJFELaUF9Mz+uZnoisBHa1XM1fctMHb6/lHlgnY0EP280Jrf AuUnjZUfvuYCU7zepaehBZi7rI1jac1AxSamoqQFrHaycl5ca4Z6K5NFbOVW qHe+cfGuUSuQNDm/3dSJ/6EI1tdl11HPeVur0LAVfFkPGGd/iVFhewJUvGiF zmivNWeyZehgQE7r6W8FgwAR5d1tKTLolyWP5NqA9FVtxMn+BbqHZO1bR2mD ofB5b1vPsjEnS077gGsbKCUFSPqsiPrsOlTjUdUGtrNqrt6oLEOHbtntD/1t UF276NMb+wGIWvtWjjyFBXqJik1JM/iQY3fQBBVYQJObEWqdQPCbukHfJDHX HE3mCkMLucgSVn35SmUBif187ayZz6De9NwVfWsW+Ehsn9chF/UOSsfpp1hA Kbs7+36gCOp3xLp4nGNBRH/B9lauBFihi95Pe06sp8puHXuZhA78kZ6tGSzi Hov6B94UYc4nJ5cWZIFaYtWjxed6IXQV/9eXURZQa/4LVNwaBxR5JI/btANd qFJ8S4WLSXbP9N+6tUPMh9lCm//6kT7r5Rzy+XbgRAfNHBsj7k1eQiNdaoeS yNujO4O4hN86dzA7ux1Udwoj2/QEUF4xqzSjrh0ol+VuGih8wqRpVQ+n/I8N rGmhYXH724l+uBaSOIsNHMOqnkL9Hkj/dEOjx4gNk8V1fxUHJTiWubYh8hIb GAbaA/+u5iBLbdG1nHQ2hCLJPSm2Ga0+eWy8kM+GqV4bHUxpQrBi6UYL64n8 lIwRle8CEOldv3ysmQ30sOY9m1rKUPR1m/Ptix2gbypxYD8QgO3PoyUtNzqg Wjf5zMUgGUSNFvzaF9YBNssP7zQPkIDt00/z5J90AGk9R7w85BIa5PsmJ3/s AKuWOVLHci7QuqsLZuZ0ALPsjrK8Xw+mX1H8ViHoANHeIieV1i6gCW/bxy/o BOYCVMwVvsPg2gD2rOWdQH7caX/AsxiTJMOmjmWdkFRRsWSVKuEvDgf3W9V3 EuJq8UOVvYQ+CWMfVfrdCSE0x+LC3VxU4K3dPW92FzAjvbJpptXIiA3U7FrR BRSF1HO91aWQxKXv3HK/CxTC96e2mLRj+n7TPZefdIGBRnYKJJdD6DmN37xf XRAYfrzVrEgIUVeGP9ZP6wa1b7orwoQDWH96v+a/pG5gTtueXrTsI+Tcer7x 52rCt0ccG/ao7oaxrWEpv9f2QNI7LfW38WIkMd2VDhsS8dav906bcSGpxHhr kX0PMH1ri9ZN64KkzYcePzzWAxQXgY3xvXwIdp6anEhgn9/WPm9aRRilV9dB dSHWj1BWRc8tAsZh/+0hN3vA+FO1Y8K0FmT+Sq3al9sDDPWHObsNWiGY0Wp6 sbMHrDL5TROlbcjyefCDzyP2s31preDQBsY9K+vP6nKA/J3srmI7iKl1WjdX GHKAskSyLPVFLrKq1R5/PsaB+N/K0ldCAdJN3tFiT3CgRGP5hMWqAXAIW/XE NpADjpO7dzhfkYHbGcHsa6854KYsW/rnvgj07dcOL/rIAR+7kzNXrS/B6oPp y5W/ccBlq+1266PNGJVOWxDewQFNxTs2q1U46DJOsg34xQEFOnW+28FudMuf ipbTuKDzdoHyDIkY3ELj1y6YzQX6b78nU0sJnZG2wGjOf1xQU5S23GgSQL7T cMUGOy6QIqeazj9aCmre175YOhC4MuXW6zlhMPlgg1bmCWJ9viiadgsh/af6 XJtLXBi65vdp0FwCQ9TGIzMzuEAdP3pWvkUGmi2GHpuzifjOc6Rbmm1Yfbu7 ZGU1gYNJC6/61SGpdAWrZoALnqe2rRyu5EHIlpnSOT+5UL4yr254uBkpZSNW Jb+5YHW0Tff3ODHHtk4E+8vxoHM5P6i0U4gCmpautREP1NSeiy3W92Mo3eiV whYeGFR0LCeTmZh05kzQnMs8cDfLdFjV1wkWy5e/dwjgEfXwovP9wm8Ev1ac E37kgeSv6eB+SyFsfXzVvb6OWE8q1vcSl2Dz8OFGl24epP9T/08QMYju38Vd vF4ekHe83WAsIOaG/IrLsWJifalweJf8IDiYXf9iScxdY52JAM1HbRC120J7 G5kPSa6P8VNWCzgojDg9JDD9tIHH5V1l4J42W2vZfD6EPvNIOBVQB/G34fnY KT7hMyiW45qdUH1wY7wokQ9qp2dpsuYRepPSW7GJQ+BGygHTtR1YYtxxceUw HwxyxRfXEHODyZ1aYqohAHoWqTDs3RdCb7Kl+YsEwNqauHjFpzbwVFH3z1st AAWvXG+Fb+1gN5AaeGyjAJj/jA6b3enF9KV6doZbBWCTpPTi1EoB2jhPf5G/ UwDUluXlSvM6wHiunSplP5F/KLnhJEhgbLh8gV2SABiPVoYceM8E5hHLc3Xv BBB8zTz7LuEvSy5NWWWUIQCKZqu2RvlHLHncfMy0lqizRxdH59wU4eS36wuU egXgvuVSfq2uAGlMhdFwhV7woe396WpeBfleyypeLe4F5lOnJNGMTNBX/xrI 1CF854Y1gbkJuUDpyx/IX94LAq2iR0/pXLAI2VdssbIX6Cddz0dnVUGgh83+ 9+t6oTyPGj8xKQCL0VmLb5kTPLRyX5iT/ABOTXUc9PivFzTV94xlMvrRfflM 9jPXXnCglE7UdPeDBc9+x0PPXlDKrtjxax4PRC/dbdt8if3093Uo/eShTlve RkZ0L1xPfTP8Z60M7G6yOivreoH2U9hVe4jo83zvXK0fvVB9dnS4Z1o/UKbv 8DPY1AfxIz7iPav6IOJ+ROczE8LXfSw959CWhL6dzspRTn0QWj3IX3+kG0Jq l3lZnibygrarrfo5iGM7n+XQLxM4O2ZT6qZemNQcfBBHYLpFgRNXKw5U6y8+ i7vaB1YTOrMcmY1Im5MUoX2jDxgFdVk3muoxVHve6tthfYQeXV7nn9uGW+Xr wkbC+8Bl+5Try493YlSRf1jSLyI/5oCn9UsOsLrSYr6M9UG1rf8JjxsidHD8 37s2RSFoVh2vaFnHxZh1k/Tzi4QQH/Y39Ms5LpbYJd19p0300enzI+pDQnDJ T1e9YS8EvUMt3NxDPai/nm1/7qwQxjxczVen9aHnM6Pd8y4TPHokMyQmkgM5 UxtcLbsJnvgwTLWL7ECahutVjd9CKNeLeB4la8F48aN/5L9CiKjhFSovFYKF SsathGmE732v5e9bOIAhE+l+mosJ7LSmP+grH+3upo1MbhUBbfcDv8nTgyDp nxt/1FoEepVbXK86t6Gh/6/5r/NEwLTNfniyiIMRi//Z0epFoLDqLDs9tQ/p Bw6uDhSIwMLyTsqdcwJkuXpWta/rh/pRx5v+Z4jn17WPdTHqh5KFv9cwM/rQ rTsidmVgPzEvGu89PdGHJeuuWuz90k/4m8sbj6QR9ZjsZXwS+8HYp6zhDU2K +bkfRIGFRHzxuikFa4qwfvPk12el/VAeZZLlOSZGt9HEgxeb+oHTzbl6s5YD +puCGR5DxPlmF/ZmPByA+Cvya/OmDAB9cV9ralEF/rwyJdLBiMD+uovqSiJx 6MbME+b7BsBWxVecpEXMmYDTO86dI+ICv7ifXQmo5N5bfNB7AILV+ZLIng6k DN/t/HSd8P17kF11Lw4tJOT5CwMGoJMm3X03loMGm1z7ctoHQGFk+wqfbwLQ Py/b6vd9AOo3Gv5sjK4GnSWZ191VxUC6uODrGL8BjAvu79+sIYasuPqDx+8N wvXrZKrcMjGIZspfXN3OR6XyWw9WPhRDc05k8mUXPjDssic7k8TgwKN02Oi3 I/nwK/22fDHQeVvYxxpaQdU65t6JCjFIwtL0LTKI79FqsvRxpxhCf8eHXa3u QqtYZ5U8AlNuDXc0KmfDUKvlmCpXDGqLsgNNl/ah3fmhXQf6xGBwKWpToXk9 hkh7XjsPiME90CLPtUKKkhky6WJ9CaRDcfSU3WIwph5657JeAqTGN7szfFPR 126olxNLYBW7mjOMl5Blq2eR9VoCIuplsfsjEShNk0xkviV03DJHKatHBpR8 +cDkMmI/w+wlC/J6YaxZlHJzkuDJGuWqbbaFGPhMo6iEwM110WKh/QBGpZrG jJKlQF3oZciQILqNhKSYKktB9K/STgAS7Jzifewhgd11JkVLv0hQ9KxDuleN 8HGVQ0Zhu/tBNP9J4WtjKVD+aBz9ZycF2q/GKVf3SCF432uz5B88iK9cG38j VgrlKYGr4l1YGBrmYX7rrRToBnEapoMMtLJertb7XgqkWo1r2nLNcF099sil YiK+Qs3r/tI6DFxWtvbhNykwKfviKH5idOiJfBrJlkL+/GUDvglE/4TffLCk Vwo6Dz7+jg7m4eQQx65rpgxcAj9KjNcIsHOSQtN0lAHz57OXTs+6cOh/7eP/ XGXAMN9XvnqiEvV05Q6435RB/kp1yka9AQwUsZ+sj5IB54UZ3/9EF7psaeer JMjAoHJWsD6bjQ6PfhtUlcjAYXzn83n2IqCkmS5ZVCGDkInK2gsGPIhJi/7V Vy2DGE+rs94lveCy4sUXUSvxXeZ660FeJXDaY056dMvAkDP0+eopDtqeqKoU CWVAurpk/ZG2brBbs1ftz6pBUDuZFu5nQuhr/+WemzcNwqTj/xR+XxVi/a35 +WYHBoHitOckZedHzJIGXNpwfBDK/Y+43tcRo42ap40oaBDojNVBa8NisPnK 3MGUnEHIWVFulxTUA81bf1/S+joINiUy3KwpxOuT4UveiAeBttLlP3MZ4ecO nvW+PTwIMbfuHntRxMf/A05K8HU= "]]}}, { RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], { BezierCurveBox[CompressedData[" 1:eJwVl3c8lf8bxpFkVEaiEJJRiMIXSd1SiBAqpcyskEg0KFktJElSJEpWyN7c 9l7Hsec5x97HJo2f3z/P88/z+ryez/26r/d1XQdvOhlY09HQ0Lzbevz/TXCd DKKRacc79a5BS6wr8KS6TKJWsQ1ZSmftm6uXgf6NotiU+ywYX03lVTk6DAnj YaytCu8hIOHMg7ieBSBJ/32kr1qLfU/WimtLloD9Sf5C1LdR8KvOlo1wHoey p+HP6CLGQG3vvoCkwTHgOuNTy5NYiPLKptNNy4vgd6uL7i6xEbkVEnUS1pZg vfnV2g9CO/Rb+tjpV8xC3Ifmu5s1w9DJI9NzQWcC2qXD+A8x9cIdhiPPL/DN wJdEu87Fv8Owf/zqhcz1cSh54sPG9DAP//3N6zX1XQQq4UB18Z1B+NxoxqrF OgVKNZ25D7fuGcrFJs402A40SmEGKnmD8MLqmzhD/SRkcZorPiNlgbaWb/3D 11S4+30g4/ubJuRjZDi84/YSKDRks0jZtGG3+c9YmF8CXD1O1shdgIe/auoC ZvvgSR7rXZY5Agoq+/GebFgC4k2L/JfZIfi6r9BO9eIC6HbpH2JpioDk/LyG y+1U0Pmh2HqHnwy9bGwMPkIT4CgV+SnoeQ2GS2//WJ62CHY+vvmEXRPQ8dsl Lo1tBJq35ailbSfBTgfF7UUJE4BdYhHPzi2AZKWS9Sy5D+67/Fx7cIYIqpWw qTY/DXveH7zzU6cZDnozBOQyzYJPvuv5B7WD8CHK9maMzQQYnHV78IB2DNyS I12EJUbg9gLT2Z3L1bAdBj8MPJ6FJWFl3tcNzRhicWYlMXQRxvO3J9mNL0Hg ffuIEjci5DGNyj3+3gUCluaODX2TYGRPm5xiOQ955j+ECl/0wy+yA8d05yKU 6pDJ93k6YNL9acOsyAQIx3/bUDeggIVMFi1DQAew6TjvIi5Nwi5nVae9FZ04 Ykm1Jl1cgpteuV29vl146tSZkw32S8B822lUW2UOot/VPllv64eDLgXWUrdG wWSGXozJfRjscj519VV2wmGFA20NqxPA+7zRPe7rGKg8X0867kaBlQeLR+wc mvCVWBXDIHkB7rtlSqgY1YG8itd/Ik3TwJj+hxKIrSgoE/Xw0MFF2NO6nnPD dBxMl3hYV56QwVrF61xdCBWUPOa8hJy6QLjBOE5Wrg2bKHSHNNcXIMK3k7Fd sBOFpIK4LZ4uAvHuZNfq4WEQFSJ7h/kMg43IS8tOrhloT5J40WvbD7p8f1V7 +itQ5dPXn3uiqJD76Gnot1MLIB65sGrT2Q7XTGc3SbzLcPv4PipdXAMEX6ie s37ThqV7d5w/XrgABTXMw0krMxAk8C5ppaIXzvDdt4g+kIsDxuI1GkHz0Gr5 9tHwbC/aVmozvm5fBJ7OjNIfO/rgZXmRberKKHxjTsz/GdyBzadORliML0D0 q+4VB716uHX/r0lr6CRosv1rd9GrRW/3jWQ9eyrwounXGNlsSNRiv6aSOQ27 31vlGx5qgLYTKw9EZSYhJ6efzyyjCSOXOncpplCB3fV7aMLmFNA5Vw186+wF Jte0yz0Hx4HNViqErDgE587pee/3IAFKzkd5Kw3DtVdGgvztS+D17D8lmZZq WEqX8O+5mItPlv1lLsrNgfM8twMdeWv/VPO9l9mrgYcpv31v9CiEvFNd0R4f grcaxFm25glofqvz3435PuiKTuQ5K9SB9bb1jqYSC/DnevyoFTsV/O5GC3YY EqHqikAFv/cSpL1bCX8dUA2cNN8NObb2cthShPGayZYu3aWKWEfm4bFjtz4P uQ1S0u/9N0jTib8uvlWrZFqAOu4Prx4JUqF5iIdfTbgNxC/eco7m6oSg2EIi L9sosM3Sl76wHofSD19UDWv6QCz01d9q+m6oOK7y4MKNEdjsuhVyVn4Mbm1X auu82w8JH0zFHhsNoeEpISUhpkWwqlLbJuBahd7Khy4oEWZBQONx7jjMgLic YrHax3YQvLW5tvmlGT9L+q+c3z4Pk8xPfuW964EG6fiWQ7uGodH1LW9d4Dyw OXw7NTbQAjoSlJjTihV4xuKYpNTiDDz8fqbraFUkrtw7++9lxBQ0VGje1jg0 AVGpdpfCj3RD6b8Tey69GIKnXlLyph0kYNvg3sPqMQV8Yvf5RZk7QF29VKuU mwrCFnIf2bgboVQ8Ov9uwyJMrAhEWoki2DXJuDoqTUM4JSMvPpEI/wa5LNqn +4EvVydEVpwMajXw11OOAj55k73m6QNwb+dtL6+uOLjNlNn7XH0Cxq08QwW3 VWO0iMH+CLEZsAm6adz/cghaL8hrsaQPAXujx+ymKxV2dlCo4ek1EDqw0U17 txXPXyflsoXMwn7q5cOsvU3QSvj4n7DnCCxlytteop8AIb9t24rvbfFoZX4u 2mgCGs8JNrGxdGyd/52xKnkSfpnW5MrKE2F+3VpS/MgUjKV0CJkYt4GW1PdH RbNl0FCgw6IaPwpXig4yjn6mgL/AHZI7tRd0LF8arOouAPVSO8eBhlL4Oy8g Tf4zCb+tnTnalNrgwl7mBqNHWzz4IJCem9wDF+2P2UgmpkKLz3UXo40xyDzw MBB1+6DlPw8JaTESjHbbMUcrxMEc6UiDZNsYCHBaPFmVJmFv8+s8sKZCI3VX bI9oFmy+DfghtjYKXCTdwwKTA8iixnS/e2kebJ8zJZ9mmAKhUYdoWf1WCCgc nNyU6MHMvQLDR8XnYOBayMRRnkU4Vp7Xkj+YCqOB1ZojPwfwitI/qVOq81BO s/2HVHAbPP7anyd9jgyftBtiP111Q0O9HGPl5DHQP/Fn5njKArQK55/VVE+D 6nP/8RNjxsH4vsPr3NpWsLqwaNThkorJRakjGUtbHD4Qb+kT2IdZTrUVclv+ 4qjtlFW7MQ/JPPuJMhE5IHNteR/Vax5uRe0LL4rKBSEC7faDj5ogJ2j7LeoQ CQ4O8ibtvzYKx3+4PmA4Q4CrdFwZebdHoN3T7kyRXhtUZDO9Ld3isJfQ7zQ3 yZugptidzrwwAjucNCZkhQnwTzGG9VJJBjofPH/YIXYUXigV8NzNoOAq9cvU 4OIc6Dw1UjCxImL1vS4nxuJJ0GMaFOm2nISvK896/PSrIPRkYTxfTQ3wHRtS ZXlKAs0B/r4D3AXQ/nXT8XA8Gf7zEhGWoqsCMMyBlickeC79NYlDeQCZ6SPq WYumQUCCadesahGo29JP0veSwPI67yN/nhm4Rr/eeuVHFpym4/qRvYcANhkv wr+G98H77RlHYy4VQSjrAtnYnwQcmsYHua+VYq1o2WpH0wic5eq9qS28AKVC 7cEZg/GYmLVded+TPgi54nxey6EdWPlytRuNCdB7ZXFN6FAvyDDHvXYMnwI2 ecltp55lQ8FpNs/6R51gqt7SwzzWCRX/3V2N8xsFyX0BDGFM1eBG+lB4dHEE 9gnpXkyRq4EYwbrfC2vj4Ew5dl3UqgTcNN+83t/fA4cvG514MbSVOxy19gbl DyGn7MUZ1odT8OPNzFPDLBLc7h0Kvn2rGYwys+PlZKdAcc337huGFJgYUrSI YRtAg/Rm2p9Kk2D/xdFRdI4Cv7SmA5TO1MCHmOGZwKgZ8BKmacom3od0y8XC ezIjOHeAW1xfdwY8jc3G4ix74TbdR0mNDgJ8kkrnqj4XixX23iy++8mQqUvD 8C1yGG7mhgzCkUogBwtVHfk+jImilbsIMdMgSc9fbC+SDVm4mih+bQBqmKVf sG/lzH5JXv2m3elwbzqF6iK6la+c551eKRRjgF9zRMa7bqw+Mfb99YlxYNQf zJ19GAP182Gf+EYG4ZyEu5vgChlFDbv4bHWn4EnAQY0T7L0YvFl+XtdwHKY+ cPFKp0zAS6GL8vb/4kF5Tsb9qOgcqIQYOMcdTcECi5SeDyFFIN4SfevEn164 xT+w6LtaBF9efdlxI7UXhKtGrVul8pGy8K854xAZJr5Ise0TnIXSEpahF18S 8TJLO4+VZytkrRNemTS1gzLDgJrx9jFwbezxW/+ZAfV/zF4Ip9fg01/zLwNd KdAcuXMqkJWC0f6MRuVWk9DmnfVa4EI1UjU5IgLFKCBm13jV16UdPaRVPF5+ HIEvVa7s5gGzEHzVp475Vwa+PTnOo+1JQc6oNybrVybhYsTgNhHXRkjOdFPb s+UPJPXDovcHc1DveeMTWjUSlGj1GKlnBONVsnKSns8AyJ8J4Gaa7cc9HuRD SuljUDNW53a/oxY7xDMyP38gQ4joQFuY1TA8Pq3SJS6dAx1BJq8m3kxC6fcW w/0ysdhcPyc8p9KDpjndBaLhI2Cg05EwcoyMX98oumYujwEdXSmn5GIl7uj9 0XN0dQiqX78kFGyngN6Ul8lLsUw4uH5r9ehkH9o53x4/+3ME9rrPyn8QIuNp 46qSw45jEPsrWGKAnwpCLheHppTq0EBP6I7ssTKwP/+HHGRNhOkCt+sZF4mY ec8q2z2UDAEC/qou7KPY/quqnYlvAuZv0Vi37iVDqeC9QapZGuTddwqz5RkH 0rPw9XHLeKyxYmLlFSYCm/WjNM6IGljo0yeVhZTBOu/nmfUsAiQlcK7R/MjE PIekmbBTPcDKHC7R/aoIPJ5lbns+TQBKXez42oESvLSk+cPtWC/ceMavRS9P wWVDnTsWN0ah5LaMWNDLZqzHjZ8f7w7C2UTqxyMCNejrwsMvtdwHmp/yM0pD PGAup037ekE7aNteeHjGcQQTkyvZ85XGQE4ieV85QxdMTUkdyUwpBC++d7zv 1ofhoSTJSWBfAkqfqLU9v5mKGquph+IVO4Ho56uUUDQLX7jVe2v5mjDbkuxL 83oQO44d3fc1kwK0m6T1ErNWqPvwl7rzdSXQUXzafKwJmBlnZ3Pg1gB81VYm E7gGwbye1zNANQpyst4ptgQOoGf0NWc6UQo8N5XT6OYdxt2i37hLn49Ak/EB x9Pew6DMvb9qai4ZVaNu6ciPkUCwzGc1N+QNnrp42KnEcxzMOS2nslzLkfY+ 3/LDew2gpybBUdJfAd8rSopMTMlY/toj779BCrS+cjXrGkrAibK8sJOsRJha yTX7G9AJXgFHD9s5poF6kfHPzx1fkeE0jK/OE+DkHmrWdOsQTvtonfRVIcPQ LrkYhugRdFe+r+e+OAzSI8yr67NjSOltSOs5NArON6KiGLX6UNd70EHcYwgS mTsnRDR7gNFETU/33luwUghiPqJGwQ+nFAUKNChw6Xjd01a2GuRTkMhy4+sE mx8audSOKTBT2RZ6TLgFDQ9uk7DpGwWl8yqv+nMqcOdZ7TfHFTowdnHEfFtg H1yxa1Jcpb8Jxt6VqjXSzVD/8cmF2po5kDDbWbz2uh0/tPI46jZ1Q3R0wJre aR+I9r9nRKLXBMfTu+eowY2wn21NjSJFgGsH2GnO+aXDUrazODW+D9Zl6N29 dkdilMZN5dHVbtT/OmJ2htAHOzhMrYuejqCnd8w+YR8KfFOgvaVD1wrn316x nHT/CZfn64bupn2HyxoPJFlJ1ZCwI2rjiCMBwjtfwu2ROFjJjNsRtTQNx5zG ucpriaibZCxjzzSK4TtOSFeabPXF8aVP/7GNoIDCpWqucjLUNeg5LyqOQ7jJ yS8Wa40YqpkZm242B1aOiWFD2IkSkWa7/uaS0C+ryyowcAjod/LdvbNti0sz Ux03kz1QbypS/VBfBUpJflu6a0GAdlMJ0cKOLd6YBnv/SaxGxbHYPfnSo6jl WCWUv0oGY6Pz5zwVJyAEv7J9mm9F70oTrh2+1Shu8Nvt6hUCbPITGpoFupBO PXR+k7cbUmfXXihSKTh3W42uTpsET4Qjs4RCKOiiyNTLzEKCkIN/h+/1VeOd kIjIy7IEmBG/P+BwrxlZN7cJl3ITgf/E0J+jRn3omsrhfzWtB97YyhKPyX9A 5UUlYpF3JSSwj/6w8+uD4+tGblGiBbjGEpo8kvUJbZySFPvtK8DURldC8dAw yvFKu1x8Pwg/GXjUn0eMAbX64C+hKgKSfwsaaP4lgO7myeJjut/QV4R/7hlp BPM0FZ5rVA+Bzo6pH+YdkxCscspM1a8Tk+8FP+6T6oIaOsMLR23ycZjmNmtt 9k8Y0rD/wPA4A4pjdz5hUJiAgAi5MDjWgRuXmS453t/Sm60Wi0/9Rxzy3vfh 4wMyUmjSg1bP9ULPEUv/fX+yMdL8kMlnl3Kwt4Mnro9a0PxIy7qaajPo6sl/ 3+0xgMb3DDIC/3bCtHVb7oeQUXj8fo8aQZ+IFe7u+5OpDWAauPOdz9tYPLzr aEBmfR2k9hMPZEvG4EmDrkTv1UrYeY+eo8EgENMn9R/61qTiEdrm/TVBRfDM NftfQN8A1jNf6Xo91AHRvrrRbldbwGCJKMeVm4H/fY3z/9o3CPWnyolHaRvQ jcS0Q8RpGCZyymtMLNowXJyDrzQ9F/xefl1X5/CBSSeb9YcuFIhh0S2w8iDg 9icHNj+FtaLpqcV5ha/1EG0Vc9k4bAIf1D+gp5sZBKY6yWg2sWnQ8B6za1ca QKeYACbffTnoGyrbai6YBRMXeAXfkDuR5nOcQ1hoE3C5xYm87+iDPHr23Hym Jkwm/9buacsEG8mEGf3C9/gNeux8vcfBKPCl1Z/lHpz7mcIaH0DCyBehRFPR djDorOHzOkBGx4F1yqPcdrgZZ/JUJqsXecZu/LY+3wpXNS4InzakwJV+4o3t ge1YpHKk7accCb6t/t4VwdeGvMcMl50vdeEL3TNvQqIb4I6ewu0X39vQLYPI VhFbBWoBEk4L/tOQsWO2mVuRhM5eAt+d9o0Ce8Xl8VmGHozY6VC35lyJ111e WW2qZYJ4/h62jQ/R2Cr+zIjH5jbeI2SXGF5qBRVpgvWP6mpUao0/zVlQhc2E oRPnUtPgezGnWLJ4Akjan3svpp+Oj87kP/CzbMOxpzfCHrWWAA2avtbeS8YD 936rjse1AueBMBf/AxNQyFXm/fXYEPZD9ZLzYjEeSxoh5511h+2PLQwFRKvA JkVxo+BAJU6/1+w0jg2G+qk3eWkzGbjhnxLPUdQHL3/QjrdcbUctZRm9XX9r gfRgNNfnXg1+9TjkX3uLgrKv09LvubbC6cZ/FvrlE7DXZbefeiMJs347BHDu 6QWxO8QmAd92tHn2+wEpoBCuz60rMslX4KmN3YFlZjP4eIPENcbfBy92bfSa 8Q9hLVH3YZl6LRQpa/mXU8bwkfYJj0j9dvh0oP/pNpNC2M128w2jTCWK+GyM b5MtgvOPxiE7swoFCFymh56RwbzMRmGdqw9Dxxjv9ts0YSurvPxpoyBI3BtR ule9Anx0TbukFRrQ6cUZRs4zA3A+jHZG7EIP7ll+eONEahvSJSWaFczHwOdu +WOxnyZA+M8OToYqCg5Xsal/zhtDh5/7+HxbW2Gi5j6HrPsQ+F3pURmS6Mez hrsvZ7NP4c1gWiGLMiIQcob1I0RGwV3T/GGMHxkLzx7aWM0l42xbTN7Ku63/ uK5pwna2D5jtFWZqufuw4uQ1inb/LH7ZpZz1b70TChTXHj5mHseOvLyof5UN kHCFj65vXyYYX+zcxvinGZ+/8fM6/moGT6r2X35A3w6+12qCfbLJuF4jwq8w WwwFZs2pKne28tzjaUOe14XAJ+Dp4LLQjsGVEgyHy0JwjM94o+TBDC7vnHGq CySCg/e5TiKOAg1NXa2q+TBifPzRPVt54iztYe6gahLS8L6syy8dASnrwP/E 9gyjv2FR+bI2Adf3XjYMfpyO34hlDhl2I/Di2dNck+3DyF03J7DzzzDIiQZF CxApeJe9oNYkoQ3WYjv43OJ6UNy03UP3wzDyX5laF7ldAuJuHnq1o/mosO/8 o96mamzo4sxsNCKgPXPxV7JnFjpcpHDXGQ9j+LqwjrZXERxge39g2zUS7sxX L8jpS4b/pvtCIt/NoE+K3cNnqgQoqUsY+KndB8Yaa6F3h4bQbvTjq8ot/c94 Bi9wtiWC95H4E2RCA8xqqdN+z+5GFhOCb1nWAJL0792hjruDR0DuevrzAaC9 69Ripk7GXYnMvla5o7hTlnZmZm8JzF8wLz2rWojJhLv/MuQb8V9Bb3z8jRYc 3CFpUXKzHNddDkQV2ZZikfbkv0yJBuwLqY8m1lThSJIsSzp3LSrPKn2RuDoO zKf1Qve1jqHWQ02JTxyjKMk+l/bIJweUOQMl9zO3IMVvbHylqwI1Gthpjji0 AqN12Por9378FVYVs0N0AAgCgUTFJTKGZDBMWd2oAW4nCoQTe/DVeZnzXKUj GFTsIuqplQl7i5eq2ZSmkPfqRLlFfRWkFVAtD7HP42kds+Ap+1aInXNVlBfp wl8szF5z1Dw8be/QMsNEASlBdgs6GEHhXT2K55rL4OtbDfrNIz1Ic51PtuLn OAZlZhCubOnS7Zro1G2OWiggwYRJTx9uDmkfa/s8iqQdsqrF0ynwkq5KLuAu Gdk8TrS3C4Yj/ZDhdt+pKdSaWSDSRpVDdUeSTqUmGXK1/Oo3F0aQ/ayPcnPI IAaWEl0vaKYj8aF9i4Y0FeUC/5sczW6Gk31lvgKKFFgtDHbwDB9Fi3LqDYO3 lXBTfiNJTLkfzQx3r8tYNuAIs4G6/5Em7Gc7USUk2QnmE2eULXPIOPLM75o/ NwnT3u63uvEyHRdVQvalBfRiuI9e1zqpBKOUsf6BChmpM55xOXRJ+D2Z4Q7j 8Wq44qjhyDA2gM4Mu6PHI6fRmRDWbeNQChkBMm85Xeew6Lmgvkvt1nfl0l0J SnNofmrHq8LFKlhYvOR8PIWMCWPvfjP+TUY38bWe8VkSlg6E23sZZWCKuU5k xVUCan1X4FJ62YhqnNz83M7d0Li4eXlGfxjrf8i3ctS3wstrxi8uSZJxP5/3 o/MCqfhoxUto7mkn5n7iJHTZBaK/DJetbX03XhDj5Ss5NoZedjMadXtcQJp3 Itrlbi/uzPsrlP6xCtdsinx9KikYytPfHyeRgVHzCw9X9IYxUuE/3xj6NLTu xRYnp8yt+zU+mFztwgsOm0enfsyiikztffrxYuDnsPieljGHfl9sZ/cwlcE+ jNbYfNKELkz6NgaubWh7zGTekkLEVDVd4/rjLfi37IgH2/EJjCZfO2Vi4gu9 Cnz2CnEFQBhbMZ06M4SiYkHJWhMjMDcu5/mGMokZG+84/uV1wQP+ILH67BF8 /yIq6v3yFL5sTnrOtJEEnjvnJNOoY2ieX5cgHhaGmVG/bJNuDWLC4QRPo45K VN61NjL8gwydf3jkZ4MmsD1a78Ou6Vq8PrLrPG1wB17O5Duk/q4PFCwGH4+4 jOHO8MpRmzwKJsc/Dz96sgTplFr4JswHITUvtkbKbBzbpEicoj5lkKLO3vT6 Ahk/yjIcbHLtxuclb+e515sx/QjH6sGkYRA2jduzR3cKr62akKoch5HtgnxT MW0JStSM8d7VrsW3TJfCshm68IYCM6MR/QJy3iLqHXlSDos0wbdNzk1jaahy kU9MIDANxZ+4rt8G/BLs53rzR1DaoClbxp8AhiUROxrmR/BN+fDZ/ZrOQGf2 QFl6OwnHbvM91JpsQEmRe7mBk104tLPjJIdaOrijpW6OFRl3DsldUY/px/FU f2VpwVa0JnhGSs91IKNN2YoHSzuqmQwGrOwdxdCk4FvvCKVIMhGsDLdvQ9K5 YeUWxU5MCaDJSzBqx4il66ITWz3LSOuqiHlkBwj9kxW7UzaGzqEKpjp+yaix wPuv1ngIK9zi+Bu4SGhvUFN/UKEFn4yv3rAdi0H3nQlxs1v5oEwvq13EYxLp L/585cCRg4oJMeNPLUj4ctCxYPB0K860nM2JUmxH7wDz6xUNXWhDXJlYWGrB /Og0Gj39Xrztd6hegLsf2+JpB6KsiXj4xeVut/AFDB750evonQmTjXICUlt8 6jyYyp/5qxRLRZa4u/Wq4ENf1UsFulEc6hDUZ7rSgtco59GPpg9pPS8vn9jI RuHK/eCduuUr7XTKFjJjmFf8ip3+YTVeVvMVvWIeiw+fhddkFJNR4QcfjY5T F3B+NbPWMp1Eh/ytjhNGRcGzvzc0T7yCrsFLC+OfilF+5Nt21R8kLEz6Q9ca WY+We8dSDooPYhybyiddsTpk/CfRzxk2iMlH/AccYifRUMef2JtRhsYf14eP Hs5CvhQ+/4IGMubNBMvSFPaiZ7lRRXNE11Zv8koczV7AtG/bywbuRIJ7hf+3 Bv84HBIn/OJooeCN83oFlBfNMHI3WvsG5wTu9Ly/48e/GQz9G6Oo1JCLJUWp r5d+kOB22obeqtUsqgkeObgrhYKjasHuezYI2MxE65lkXY8XWC/d+shCwutb 0Ur5ExVJ7zQN/U9+QkKCvM4B3im02TWWXva9EvN073RGsUyggXlxewzWodCH 3PDs3nlUvsi+q1UxDa3SwlfXIydQnkPV/dm+OiSY1GalrU/jshXPErNJGZ78 W2WRlDaP9HrE3KvR6XiAfpeb39AoHuuK8uj+2oJuy9895hXmUUW9tnZ+dza+ Sp+fJpdOoWDlM6MpmSqcc/rdvOA8gDP+0iYlAd1Y+Dn5Y2cJBWvPHDF+NtCO LZqyeWEr36C+7dARrr+juP5Q6vKd81t8ZuFtuuhZgjs01O8lli+gyjkQ4f8v Egt3PFHMu1SGBmJNmoNXhjHeVph9V0QfljPYHTJr7cMnIz2HrDrmMc9f+1aD HeKvy92qfYIDaMr0iyNzWz+mnVqQXt8k420pn39lDt1YGjFWr5NExONu9Y6D MySULp34FDzZA6aWsdM/JebQh+Hxtst7y4Ekxsj3xXMSdf4QWh78msCEthzG hu0E9PeS/xH+dxrZjsgVPlZuQGG52NeG9/phpLa0jAbm0YSj05pXfhrlzl4u d77YhAHtTBl9lFZ8MduSPf+Ogh/Jsmnh+iNIr8HyPux5FzpVJwXTfJtDPbpf v88H1+DFrycYxxTnsT9IYDBOrRoF470vk7d6aRJl31dd1SlkLPwWHGExj2nO pKzKgGr8yePxUsx5EfPSI/ckns/CNcGgcO22OWQj1u9isanF+l3bGo2gEWca ZlmUuofRNmOCzoyGAK5Tj2WXB2bwrZZtnsrnMpzV+ptIcR/FILURDVSohmzN T8YmBtMYrB42uLO6A+/tuqVh20NGFZGGKZvFLohTWfJ9w7c1d8PTXXsSPyK7 k5nnbOc4xpDY5UZNsiG/4mx6w9ZeCiQlbzB6F8Hr9+w2NJVTODr8RYa7GYEv z1DYxGIa28Rvz9WlkEBnan/B97sLODHVG/7+1RhW9j8asPzcjRH7tSMaJfvx YnULx/4bZEy56m00wbrlX7rWmZ5qXfhmsdQnR3eL38+M7Lltq9Hd5Fc94eQX DG9o6xNlm8SCWqYNF84SdL2uxTPmN46uv1+my56govLu5w//DDag83bGL9Iz W77jT1yW29aDycd1OmJeTaG8bhB36OEOtN9mnvR0vQErhcrivzCN4famm7FB 8/1QW3J//afhAo5Wc+kXS/eh0bP+MLeXFPQK4NB5ylIHJYpH2JaOzuFVump6 9YQ5DPIfMn+2uw2tymYFllKq4YjIuJaD1Nbef9a/cPHdAl5W1OdQe1GPB5vG Lwvs74DQL4pT82+oSFRZFJUN64GkIMbBrhMLyNb64A2PegGMDyUYdGvMYkpJ mfBm/SgK3bkQ3B+11d/vTnHfIUwhfWK3jFl/FxZyMdDY9Cxi9/nZ4Z76ajRX qP7KbbOE2mz32sPeVqK3rdP2+OY59PzovGa5px0XBs+yPPlJxSKO7YSaGwQs n5VqvXx9Egezqpi+R/XiRG02XR0hG74syY1Kvp/Fl6xW0m98S6FEttzyps8c Cue07rYpqMTJi6reJxQnsbrXnN1Ki4QBlNHjJu0UDCtMyYaeCZQZ+vudytCP ugWFTWyJkziyr75m91b/+uVrV/iPOo2DoZ2MG9iNIse9FRv4iCiydv6dq+g4 Uo9anHwXTQT1I5OOb6QWkLH2CnerAxUN2YZuOrwn4vza3keei1Tct1J7Pc25 Dd2a/rmW6A3him//vOrsMCbalpb82Tex5X9HDbhFBlHElt3OnbkW5KWeOv9W pqKwx+mBphdbvm5vVHNNnozsEkJVP5py0OPbhkGv6zSa/y0WZmdawDuaQQzH 9hFx28/4mnjGJTQ+31xMm9uEBR3ELq6YImQhH96rbz6NPaaaNi7PFtD/cPCC nVsbPpVW5Yu70I9hcx9/91iOInP5mR5dn1p84n9J9OzuKeyVHXV4tp+Cf0o2 ablgGFMcc0Vo3y9irRNZMTmpFZNUj0b8Ii2iAYv77saTBEwrWg7XTu4AFYl3 B5KtFnHoubPPmQuvoHBbgktK4xxWZD3xJM33wrL7l5JdsksYzSJnhreXUS9B us5RoRH5zu6NWA5ZQsN3pd5D0IpP6m2cDjXM4PrRs5ZkrX58rkk6vHh6BHdO rLlf3T+MXH7Dsbn80WAclnX9x4t5nEm7nZ1kNYlNkir81U4kVMgXkTrXQYQk p4elsl6LaNXsWP+wfRQbHWlwJnvLB35HNtl3LWHlXKViIisBU7gOqtwitIH5 A6sT/I8X8XjvsssWObDj7r9Gt7Rp1J3+aE8+WAGqle9MXyotYGK5S+RJoTnU 1cnv2RPVjwo2/bamyZlbOXJ5VPnHHOpXSNB0f1zCsStN65zUNix6fPDEYFoa hqeuhRpQ53D7g1f8bKlxmG4tfZDjyTzWPHgZ5Pi0Gm5ZbDTELi7g++lvBRqa bcDHXNsqvL6Ie+youxkWukALXWK/ti7h9oiLvITZSbzXePP8lzoyxi4y9l5u nMc401x1l70DeHGSfzjo1gLS2JKY+XJ7MLAqyUjFIA5C+W3f4hQVZXqe/955 cBz1bty+/rNgGBWLZ2PqypbwMdfzgurP7eiUHxdi9awKjG+evcQksYht4T70 bYsVkOFD+0mfcxFlpVnt07bmar6N1Ymxrwv9PNJHGpR7wVQhc1bafRkXOENP kPYu4x0WpluHatuR40y9jxgtFWsLf7OaWA2iJ/WVBml5HDMmuL9PTQ7jQcF4 643pRZwTf9ulQe5CQy5jjqJHC2go1TxVrtWHnwPVC/235qnkBTKW3Z3Y1beb MSezBa4NMxbTeC5hTIfocOZmKORcGNhD+3QBX8ec9TGQysT+n1f+NUVRsSdT dpssJQvHGF7dniqmoj6pbVvOm1Z0qXq3Wucwh97LykbvuZcwQYHw7IleL2aE sNu28yeA42PX7ON7F/G5a+RIQks97AmJ1fyeuoSrPFH3huyJ0F1u5rr2ehlN GFwu/9vfBe9snjP84lrB1KHiIJPRGtznN994npOKfklu0bZ7x1C5V2o+lnEc jSanthdeW0S+6CJVvowBDK3PjSwX78MvyqBwTWsGL1yWYVF4s6Xr45mBLAFz 6PBBf+oXzwrOkK0tT+V0YWqcxN1n2VQMKftrIL9KQkrb7Lu4NxWgEr9i2By5 hFbUpjbVuGHsJvNkpsIk+gqKVJ/Ymq9p7Co9b+IA2o2QKs8VrKDuV4f2QzZd CB3/7P3XltHYMnHqplwPXv2A9nnPR7Dpy+43fQyTuMnN6frVKwyzhDLOnFNb xP8BkxkYXg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{2 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { 3 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (11 + 5 5^Rational[1, 2]), (Rational[25, 8] + Rational[11, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 2] + 5^Rational[1, 2], (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[3, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}}, {{ 4.23606797749979, 1.5388417685876268`}, {5.23606797749979, 1.5388417685876268`}, {5.545084971874737, 2.48989828488278}, { 4.73606797749979, 3.0776835371752536`}, {3.9270509831248424`, 2.48989828488278}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.2484884, 0.3863264, 0.813373], { BezierCurveBox[CompressedData[" 1:eJwVWXlYzN8XngghhCgKEyGEEEKcCS2IFqEoBiG+RRKSaFApQkpKlGkfCpXS 7kz7qqZ92memqdmaJkoLqd/n908973PuOfdz7zn3Pe95RuPcNcsLk0gk0hfi z///84WSyVZlMiT1b4uuUckE0l7bRXMKZcgeKH/xTL8NaU5+djVeMqTtWNIJ c7tQO+8dJfSKDAO2bNp9/2QrCk3JhVn2MuRsmyKRvctE7TWHxgp2yVDpe81B taBG5H+xkEUtkqH/tkdri8IEqNr05ccvcR9y1vQ/iVVhotJFarhzWx86t/eO 1R5swrH0pmhOXh+SVlE0VlPeoMfsVJvv0X1ILXJbJ/8yCem05pxGeh/2+wcF aiwXgWlEY+TbN33o+2SS1UPLeqD2lO0yeET4v/ReZqRQhMpVN35WuPehw+h8 64oBLpLcLdSaXfqw8unaU5M9+yB19kqrR87E9zikzhlhtIPW95GKF1cJ/9me YcyWYGSd3O48/1Qf0nPkmx7lI1r71e+4dqAPTTsL1A+lSJFzc8+uO3p9yHJM Gmve3Ipuy/WWx6wi1p9q37/rXhLoxh/uQxUC938LWXInGdvsvFadndeH5sPp 0yYpFABj+IWRsQLh//5IWfVrKeh17ZKZ1Eqx/pjzzb+nBGB9/ei7jjwpkroE W0O1H6OSnf6R/lgCf+41ld19AqQtgpULCUy1tHkkiGoA8+s+kotvpUjj7z7z qLQTybf92wteStHajVUi4XaDydaL2xY9lCJbMz648UUDFu7hzNh9UoqaXXo8 7wYuys9ZvcTuuBTHeG2nKDwJMholxe93SNF8Fhgo3WOjY0e91jptKdIbq+Yu iygAVrfG1rl/e1GndeEBLq8ONLN+JTzv60VGbKzHgEYLDK6eP+0JgZP0at3+ nZECvfnr+syaXkw8oPaddrQPc27sXPMkvxfbthR28O50I/3AEpFRdC+SMtfc pFSGYaHPj21bdXpR6YFcmc/6LqTbnAsqQwlS0nepnTiRi+88i1u9syXIpFJn 53d/BqGuI3XtUwlST5++4aGVgjp/7A2e+klQ6emqfvLBPNTRUplm6itBj+h1 bzRZRP2Y3I8IdpcQ+bood2hjN2j7bOGmrpfgyIvW87K/PHQmG/yhaUmwfrRP NXl7F6oeeO9SNVmCbcXdvGUKArQdnOFwZESMjv4us//NFyB/qPLa3Z9iDKAW 7776oQJffXfwedImRi+v0lf5rl1QmbD5yvIGMfrGXil2jBfiK+fBmdlFYmQa DpNuy0ej6ZyeX1P9xDi4e+xZWT4HAuim0/JcxOgWsreaNdaIWlT/y8NHxUhy 1TP8ee4hCPeMm121ECPLSRZSUl6Og2dxvs52MdpOTnfU1BKhSYr+9PYlYqTt 2dC+bWc06u9TkI2oiZH+SDp0Tp2FI7csruQTWIkTOWgh7gBhFetH4HTCbmBh MPdhJ8gbDWWrTYgwMeT9ItVjPEg8sizCbVSEnJgvpTcFHaDTUv27o0WErJ97 hMO8QqDZHE2qaBChsCKavngpG30V9FTOJ4uQzh0LmX2Lhdrzpu7mxomQvXh8 gJNdgzqPbycEOInQf/e9bV4rxdDvmXKLcV6EpOdh1Kx/iWA6Z+uVLcYiZB7o Cb+r+AH0w6V/tq0WoXqwsHlNtgDbZGXk6X+FSPIszk2yzIWkcOPiuR1C9B8Q FDUF9RLfceSCaokQtWeUzzRazUc34WXFwgQhUktm+SqdKwTTX4saZzgK0UNj cdz2pRLUL4vqe24vRN82fW6Cdhum8i9O3DwvROGepwpfqiQgf65/YxRFiElR GU6v14qwNLux8McGIeq99A1fBWywt/VQH5grRMfK71FMHy54OC+tqPwjwJFV +75EhHFRtWxg1fksggcFKamzXnHAusvG6ouPAEMXlI0Jb0jBYzP3efAZAZHn u8lNtj1QmBZ9XN1cgJo9+1hLrvKB8fi/wTdmAqTZURI+rJOAVjJ99eTJAiTn j16IPtqIHmp9bdHjPUjR92WfXy7DttqPdl+He1BrX8HtGye5UN8fnfVW2oNe 1isCMwckyFbYbvMquwedw7oybmp0Y6rd/AFBWg+SvTz1Ok6WY2kJrHSK78F3 mlNVvRq4oGCcmswK7MFCo5t1vto8cOx8NZl7jdgvLMLthX8+khNa9YIW9WAo xbJJbNEMjIesL94KPchIrlfNa+hGfVLI/v5/3Tj2Y+mPAcLP9kPRK2VeN5rL R3TYz68C/RY15pQb3ajufFuhU5uHjpaeE0uOd6PrnPMZlK4eoBt8uPjRpBtJ 8reGAttDkKG7x22RXjdSCp7OfE3k06F9v+9hbcLeub7X9mgz6L2cxP0wpRvd XBKK759qAQefezZz2viobzpk5/Jehg5dO0ptSviY5H5S8efkclRS3qfjWcxH rVM+sUdS2OBoyqQZvONj5XKXZPEWIbDSI5+/cOOj/6Nf+7TeiyDn3rWTYdf4 6KETU3olUwCD+xPM71gQ/mZOwuvxHFROl4t6osRH5cX2685cEqAe/+CDaewu pL6LGH2k1owOL93U3TK7UE9vKYfRSvCtgXttekQX2n5cJXfjUy+Qz27yDvYg 1gc1nov52ggj1aw1k7YROHPtCvkVnahotWLZq2Vd6HWM07hdpwdKi05NmKkS PPkpqTpXPx9KsxrUGqYS9toTNEpYN7Dab8b9x+ehucGHlacafqCWe1nIKSYP fUNb6jNTalBPOHP6xhc8tN6/RXnytxaImaGiPs+bh15lnacywjjof0OeWeLF Q1KYi92WsFYcWzCx8ZMHD0cyPud/PtCKiTccfydcJOwpnIHmfbdQfsliB01T Hlot1h6Ws5BBIoNvJ97Hw3fyISWG83rAP8PP7vxeHoZOuswf7eSg4/ahECnw kKxyu3j+32bUuaT/UWEbD5Nyp72x+tEEOjbOe19uIuJvHBadKapD14DkMyqa BE/H1gScjajCnF0V4l8qPKRa/DGOtBEDc+fFI5eIvq+umH+0LIiDwgd6Az94 XMx4cCrmrW0X6rydL0ju5KJCRN/ixQ1iMP3AE9eVc5HZnB3uxY4Et2nGxvMK Cd2gXZx7R6UGHT+KaqzyuFh6ovGgUZAYdW/ucFuAhJ21ME9Cfwec5m61uIdc jCkq1awuE6L6qR2mpgRO6m5+u1ZXBjq/pbWzLnCRLsvTswyRoLXqgtDxk1xU 2vDXMYTgD1eSisa6A1x0ZCtVTBB1OjLb+txUAnPGth6aUkX064OeyaH7ucgI W7qf4dkJ6uO7khcuJexfVAsuXatE/eHIm0dncZEyb7KtdnMKBlTM/pc6iYtt mh9WHt5L1JfCCq15fzgY4LqM9M+lDxgjngeccoi8HuFeODKlC5WN0gxuRXIw KXQbPXJTN6RKSH5jdA4qnew4nNtQg5rv20Xnwwl/+x+9q0NakHMjztbgIgep TxPJzfxMrJySpcGw5SBzwidoiFmKfN3zu5mGHCxlPuBP3S4Fyq38kN97Ocjp Dj+/8lQ5KLOM08LJHHT+G5QXaCaE/bG1u2cs4aDqIXhjvqkJSpPfzF08hYP0 9GfnMsdbQEt3nzqlqBND9a/3LbNqQx3D7ruKbp3Ix6dDlSEycKtgR5os6kT2 tcmdkj0yzODP+a9R1IHKk5fOnfASgI61QX++RQeqFj6c6NbuArLHHq0/ezvQ /NEUSsuRHvRt7x1R3dWBvXbn1NXjZUCXhPAlpA603rt5ufNkCei0KpQcmWhH 0kRnoNmaUFDVs4y80dyOejJBrmdOAyo8daUyWO2oY5tJ8SN0L7X/4tO8snak Xbnme3fgPZLeb2kJLW5HcvmVhvbUOjSP0hGO7WtH/ZKuF1cOEzx0xWxfrE47 hta7HFr7WoRK2z/6Gcm3I31efVb22mqgvPDfZWbdRuhMI+PNhnXg3Or5SqbY hhntV9clLmJDRlUak9JK6HLNnvLT+7owY++UJf01rWj9r/nKSSoPHPqQgooE Puw6sfo+B8maYofcaa3IDqwZGQ1vx/6CyvHH8q3I/LOFW3C5BPodfF2P/G3B sTLpw+Xq3aA1+vr1kcEWNE9pLnwrLkBrnfbLT8pa0C3mY1nupzown/V9+uvw FtR5UfT8aRQbFHhlKlPPtqD/p94phjECYHfWD8aatKD9qObpbUocyGBf80+V NaP+qmu/bdsJXTB5x9yVjGak16+70/84HZW8m/OcQpuRc0Au++/MCkL3mE33 DW5GkmHODsFyLrg9VVXXf9iMqtcsdX9YdWK/g0LbXK1mpHBrz9eGcoBjV9Xy ekYz2i7f8bHbnQMU8XflzzpsNH232cCMwUXrsKLQSyvZ6Px92m/u3xZgz31I rp7BRuGRS6ERhB633mshx2howpz+46XHP4qx/9B4cHltE1K05f4LM4sB5jBV uj2lCUk3ChLWjdYB/UI+QxzdhKHhXlPv29dj6YUHIunbJnSY7Do6mEzMB6sb t8ovasJSXu4q850NSLu9UGPBQCMqLCJNG2bUYanq3Q/rehsxY9azHd/MxRCw 8Zts0dNGJGtc6puhJAA3jeKRn26NWL9q970FJ0SopzKFfvd3AwrDw5TtM5og tGDtlU3dDehctTvQZFoFWKsGNT6ubUCS2bT0acJcNOn/lPpgK7GvavGS0zLi fuilDnKbGpB6K0EDNGuBpb6ujaXUgNrmEYmVhC40/7XMkFlVjwrxG8xTLzYC Xa9boTOiHq1XKW9+cp6NSt3rOMEH6zHgz+CZxg9CDHjS7kmi1CM15MppDaKe yBEuP96tr0d509+HnafKQOtbh7e8Qj1SxlvWtC8m6vX8wevHP9Uhmf3fRc71 b6gVYjX89mAdssNHvg63C4AW5rJriFeL6gEZgmtz+KCTcdpmbWMtps6W35D0 phtGLn396FdWi8wz3raZKm3ImilLnhdZi75uT11oz1godBa9cXtdi85mSx/K +5UhPaxz8b7gWqw/tMQsdQeh3/68nP7mci3yfb6be67gInvNvlfDK4h4Roc3 xluXIvPtbTvFkRoUFqVIlt3thFLpP8Ox3hpCb94fnnchBGjyLW86P9SgQpfx loXPuoC2qPDS8bs1qDvGfB+1UIxk53vzhzfWoKreqMPyGfXAfOn0RTK9BmPe bdtjcakbStmH5/gqEP52x1f4xfbiyDy3HS6jLNSpWG8+IqxBB9KPwJQ8FqrO mL51zJLIY8Vn6dV4FpoHhTzyed+IwuA/d6wDWeiVEtpX+IuPDi4smepTFjK+ /TBhd/YQ76t1t/IlFtKU02z3uSWhcH3gQ/pSAv/+FBT/NR4CIqxCveVZyIwu /p42nehjG57NCsmvRue9Kz9PhBA6M+Bl+p2YatR7mBW8olMApEvyf9GuGq3U PPfWmYkwqd1t+fV/VRhw58tGpo8YqWmTv2TdqkLaNkPDwnA6JGm4nbtlU4WF h5f/SvDuAWrF+zRVuSpkLmh2DUnkACthbcLvb4QOMbh3o8GtBpJ6Sj6L7SuJ dz47ZUYyHek9v1wP21Vif20BZ2ZOG5B/3st8YlaJWrqxZhkjPNS5umj7f/UV OLKj17yjkuAln6NrnJMrsDTy9QWyURc4x/vXGHaXo2pUgfrfLGIO3/JBMppR jqTKSVeW/tcI5jWdxWTjcjT1jGOW5oiBLNz0JVWlHOnKF7jFuu3Q/yzw1J/4 Mmyz6ChoIubj/laXbWTtMqTMp3J2hDch7c61D7ETpUge33RGatqMSjkF1f9t LkXWtCOpyTFFQF3waYwZX4LkjuHMpwZVQL7Q8SnDgMAnki4GsZlAKdZZfUK1 BN9pX/31rl4MlElfXm59XYxaBQcf3lnRDTTSIZOdZ4vRwaJkaKdlDSjpeYtv lBUhaZBS/XHRY6TJtf0w+lqEbdNyQnzf9AAl4dZLl/giJMv/x3p0jknw8Zya uIVFGLDCnebj3AcBJVElTd6FyDwduyCjMw/N41cuV3cvRFL5nBIb9YdAd2N6 tCoVEu9lqq6Y14hJfu3rDg0VYOVpw8TYmm7o37dtic/5AmRPWf3Xp5jI1zb5 rgHlAkxdbnlw2YxedF7Rl0Wvysc22wPs74e70LnseuCRw/no9vrziiRTPpLs 9DSnp+UhyXjacOHHzxiQGzWjyimP6HuMgT5KKcGjvy2UtuahUmS0W8WePKAV zboZ/J6JpP7/Puz5HA8ch0OL/gsmsJUw9dclDtByFL9HvGBiqLMwNV9JBuZn DUPHPZho3axk9Ey1BkhTDmg5mTDR6gEG2pzrA5LcgXccCaJCYoBTLFH3dPGz hcWzETNcboeHs6RAp8V9/nT8O2q/6Q9qV+oCztCnDdd0vhPvjXMl8WYVUPye TQ0fzEV1ao784Hg3kl0jbyzzz0UF34yniVc4RF1cDKa+zEGtAbXgDQMi4Lhc TSuVZaOm5fKT7a8FSPolTYl3yMIA/WdGqqR6JH3sVE8wykKa7cRmaP+E1LZv b6c8zECK1lQO6XI+0h2vHJ71Ih1Z6yTq1s9qkWwnq7gT9A2d2xI1n6g1AenO 0fl48RsyaE6BWYZdQC8nb3UMSyPe99zuW3JfgL5x5VDZWComXnvt+24WD+gP DvQUhaQiLWx96b+LpUAxY7Tr+aYindo+8fNbG7HfsQsGf1KQobPLMnGBAOkB JeGNr1KQ8/NKRiPBh5SGauf/+pIxxylqpPSfBKj0gaS7tck4Jj3ozp3UB7Sj S2qqjiejyYtHJxSre4HTOPX5M4ckJM2bnDX3RyOSjlzM/Nj9GbUazAxKe3qA eceanJuciDrB2s6q+lIgqdYuwpUJqHSOk+ZcXQ+UxxV6Q48ZhN5/PuVsUS0w m/nzq33jUZ1ZoFFg0YfM60d+dryPQ+vL3sz2GB4wKaq39I7FobOR8rn39VVA W/roPWdZJI5xeqNPLiHqryo5wjSA4BUq609LYTpQnOeb65ykI+d40YFdXZ1I mqw1xS8+HL2Cfr02d5UhqXlX1f77wagwcnfK93iiz6cG77I/GIi9cimxUSp9 SFLevMJzPABJP+Z26/FzgaT4w+SOtx9y0o8e7hIQ2GXemSNLbqLjuh1bdaOF xLvVdNs64yxWKk3ivH4uA5Lmh5PDokvAZlz5br2LBSQ7weSrR70h5rDnwP5+ Ys4xSs8OCg4AzvXroXxzJtBmzsNp9QHgYdRi/PqqDGhWloqBtEDotXc7Mz2C h7QKyq4tQ28gZ3NM2NEh4j7pTZt8DCJBvu5Z2jQTYi5wC9tT4RQDlIcl399O 5iBNfhV1niwORh7mvC5y4wEt7fFWxpF46L/nN/h6iwSYjRa3NvxMAIUlDdUt kYT9P0bjoMknCN0Fxb1bift5khy04FYShKqr6P0tbwDy1R1ON9OTQG+T8Ze4 da3ISa6V2n9PApLKosHBgEdIWxP/6+uFZAio8K1fd6IPONUdq85fTAZnq1n7 Kq2LkTRCVTc8+xWYEfdMnpwg+DBRZQP/31cw/80bVrtN1JfJsZs8/VQYfLne 1DGrC0m3edKi/lSwPhr3NPJZI3BaeDr3538DHcPM8t/niPNHbncYYn0D6tef iSUexLtYnf9GJvgGbp49j3QfEHxw55xvuFk6oRNt/GVpXUARUINyJOng/Onh bJvuciDdyI/OfpABDukLq5b9ESA1d5PIYHom0O5/Ho5c+YbIv++TDbszIWZg TuWYQQ+SIrTqdGqzgHJa8z5SCf5x2eD2TC6bOM/2w6E9H5F+dfMW6uNsCDDw uOF0nI30infJSbdyiD6csIpxX4icSX2GuCeXyOv37X05rUgzfHnk9b1c0L/p 9ODyeBeQQh9SJfe/Q8btwLC0qSJISh0Tbr9D1EXf+WTDW1EQoBXsElvABGaZ 0emd1zKA1HrOvmZ2HpiXuCx21Sf0WcudEbN1eaA7bqnaUyzGpNQi7yDzPHC9 tY/57HoPJP2y5eTV5IG96rQPb/J6gfL8OsNwJA/0Pjl29c8Vos7Iaxe5KfmE buzX2J4jw/4TqeLmM/ngX7hWeMCSD+QXt5Is5heAqbrQ4wWfiF89e+5O6wJC JyVYhE2qQbKlov4uvwIIfcKkzaIR/NjqfvxtewGQlF+zGm2/AqlXqSEkqBCS trZYbtteieYlJfWs0iKg9O7W2WnFRKZB0aK1lcXw6v7MWE1NKZBp7fHK20tA e9L7BRXyfGC56hzRHiwBWvzAOv2bpUDV1vi8pL8UUt++6Eh90IP0M3UUsl0Z sAI6Ct6YthNzdXSgJa8MTBe22QnpEmQewxrLX2VAPRGZEOwmBc6i8l13V5cD JW5pSXxGMSY5Klk+e0TURQxLbqKzBai5dia8UxXAnNT/ZRq3Hp1bpt0uC66A 3l9hX42cBKCU9/fA45AKGOFvWmP8QoKsP8eU9WSVMDJaqzqT1Qs6dWRzR/IP GKzztFMk8pt0NlWc8+0HsKy1HnHke4EUJGfi9KwKdOaVe29pIu770c3S9W+r wKRW5+eyRmLe8l8VciOyChTWR7cWloiBucAztfJrFdGn7Z2+vCTOucmpbWNh FShx+3iHePngW1YUMK7DIng0NudoST4kyV8eMb/DAn3Bsi/PmFwQ6mgFyFew gCYZcbc/m4vCkgdR21tZoOQyespyUjNqHZCb4tTPgtDDUevcG5qRmcYXfJ5T A+Zycb/CygpQz1D13oslNWCvNWXVxJZucDg3OF1Duwb6r/xsvCySINtUhe62 g8BF5k3ne3hgbt+e9/gY4b+E7xH9RwzUzmz9vSdrwKpjwvlWhhiZPqRyY1oN WMONOIV/MmDb5UwX+dUAVR4KJq4h6OjHBI9La8CfEZ21ObALFMgTkx3P1AJp vqOahnwm9g+g777btUDZvzdqYHE+kq4YBsf51YLXuJOTX3Q3+p6PnZZG9JW2 BfcW5d3jASP62bdKcS1QB2fF72YQeR473UOVqwOlwklFyWsEwLiexfBaUAek io3FF6xYoCUSuzvuqQNtR32LUhWCH48F8kqM6yDGZmzVWmoXko/JH600J+bC d2JS/I1MMEmT/PUvqAMa9Yly0J90ZLfs/fpTqR5698LT/UdFyIiL+rJ6Qz04 ZJpXnaQR+v39nvkT+vXwKuT2ESpbBLSAde3N1wn7voNOUzzEyHLoP+LoXQ/2 O+XYoyv5oKTanhrEJPpmb2DDDzkJOKTkXq0rrQcdpp7F3VhirhlrKLRtqwfX B8ErbzkLkV0qTPvWWw9krkGsqnM2cObuDaZMbgA97Y3rU9tawHyp85ey1Q3A 9Pta3OjQiloSTdre7Q1QeuF56uiOJmTS9pyI/9wALHnjrYfmtxH1Wvf1QEED ZLhSuyyP1KGDa++yqEnE3LiJpOexIRlVF10yHl/fCA7XdiWpze4BpSV+a/d7 NALle/a/O3PZ4Ps52DqIwKErU+7sJTUjY2foWrOORiD9W6cWahgBqoHX9/01 aAKWTlZsxJNiKJWh6R7jJlC9zZk5LbIZ6RdmLaZfIjD74PEXwhooTeSoV4U3 gbmKGx1iKkHpwI2gh4NNQKOvVlvNf4l0js2x+aZsGInmHjujJkLOpU+PKq+z geU9ulHZldDPWZKtv9zYoNjpqLz6jxBMuGmmszzZILz61zynvQ9Y7vsYKa/Y oPMsZaliZguOqPhur4hng5bf/KGIoy3IGrs1kTylGZhDCvu13GKRpOrd/Hl+ M1CCtv+2aBNC/wC1Yc1oM5hfkmgsnagF8+gHsaoHW8BZavFpR38rOMvFyLQZ LUQ9uavNXSOB0HmL039Ut4CH06GrbzVFxJziovCnvgWUD6R8e0cn4k06tXnn nxYgfX4yLKK1A+NSwIDntFYwZc/J6ZgrBSWb8cx/9q3Aea3c2CipxIxdNbfe 3GsFUpeN6UhoOSTtrQ3RjWoF1TuXOuN4neggiux8tb+NmFNYe5iD8Uh2LAv8 fbgNmL791AHdJNSzaMxacLINaE0GKY1EP6BJFGIDzrWBiUommzy9G008Ki6X PybmNkqEccoCQgdMN2pICiTWbzpwz9P6LbAm619N0WgHvWMnmq4uq8eA00Nm Q+x2IOWWDJTZPCLu+Xh2wXA75Mzt/ch51YOUHG9j+qYOoM3T1b6l2QpMx/LD Fgc7QJUZ8GzSDIK/TreWHaZ2QEbjJ0YINCE5o2CuUWkH2DOyrwkShaDTbLen SNIBwp25kXQZF50/IV13sAM8vAPfxBrxkGq2wLNMrhN8a/Y8uVDajkpXJe6Z Gp3A5O63D/iRjdYVw/dtNnUS+sH8zw/VNkwaNnTgXu0keKL6qO2ZRqSpnW9w ft4JzoxbKmyPInDgPLxXnkvY1fUGjjMF6LHaNSF6Mgccju8xd2oVgbILWRi5 jAOkq2f9Xky8BEW3ZNvlKzjgnLL5+vlRLtpenaJ9wYoDScYXy638OkG/cPDu TwcOKBgL6urSiPOEOyypu8aBmHHJPGm2DF3H9r9L8OCACWucM7uiB9qCfPgO cRxQmts9qtzFR1e3Dy6COg7Qwyfm2pbxQW9G5lmXJg4ErG4lzWGWoddjr1GT nxwwd2/fH0PtBPI2b1s2ga24ezxEXr2gfsBd5fokLhTuc3zRkMsFZ/1JukFq XFB9REevRa1IWbGyKE6HS+hg1Zlf7e+D18QCr3wKl+DfbzlPtrJgzGZD9kUz LmgmpJoe5vFRGHnGSXqKsFubKr7sk4HJ/rsXOReIeN+z7dXLG8FXpOB+NowL 5HsOw9ahbUR/fe7Sk8AFJvmWzm2L70g+o+b4oJDAKu9my/skgFXqDF5mA7H/ jDnm3t1usH/JOHXjch5xv+mGkW7hqGtzOHzDOh5UKobkM+Z1wdh2lfwFO3iQ cVNhC13cBEqt6Y7XgAdWl//WvbjDQfvowIk5hjyo3xR3/IJtL5SKX6xOO8QD B8ZJuzsz+OC24PZ20nEi/sfjOW+33EDdKRdb9tjzgFOQ4+t/NxVtb2w02ZLJ I/rqQfHVeKIv7D0ZVZ3PA9U1Dgr9OR3A+ZKU6c3mgfLMSazTIMEcZmL61TEe 9J/2eHxsXyOqb5IfWjVB4JWSvyQBE/qv3Uq7sawLlN4ajl4zqQbzZZphDA1C t/ZuXKMWl4omr0inNLW7wHxxUoM4rxzkHfaPNe7sgkq1ghs7znaBh8/h6qkF XaA/Nfr6XDUZhNqmbgws7CJ4or1Bc2MPVtYtVokr7wJq3YWw9hPVKHRxyfGq I3QJjZ9wfVkh9vcuSfbjdIGwyETn0kgT6vdv/rZa2gWpVey110jdoLhUjUed xgdXi5sPpxuJQdto17FYRT7wr5+Lu3iCD9pjX9+YafGBOXpR6JheCKnZM8/U 6fNBi18z2ciuHfX/RsuyDPhAMv3qnjbnG3r1bx1fY86HyvFCzPotAddF90Vb Qok+90v5OWWM4N+NT6hPUvig6DzlQvNzCTqoh23895VPzEmtu9whDYRKD26+ +MYHnYKKMl+i/urdk5fOy+eD0FcuzvhuH5jqfVx7ooEPFHvG8c8HCX3j4f1J rNYNnAYd69bGBmirOjmPTuiYpC1vHxw/xwXXrUaHnC26wfyQ7ZmOCSmk2hw8 JArtBvqbQ+9cifu0ZyXusIwl8Fqze4c6CnH/2tck+NINGfOm/fyX1Qzso09N Od+6Qeml98GIgz/QZLaKaWxGN5ADNVgW/Wmgub1IPjSzG6z1Zj8z396KjhqL ojcTfTLjn1zuuJYIQ6de8sza2QPsS2L7V5WtoFfukPLKrQf4uWqRqUF81J0X qDLjSQ/0R4ScXrXqB9T/Dp3OD+gB0rfl+3O4EjS55WCXntEDijN71x+NEqKp fPLTs9VEH9Z7xFJay8Hec8yHe8U9IPwQdjKTVA/Mi3O+Vc0RAPXi0/EXF7Mg NOIQyX+BAFhCm6aF2AFenpQayiIBkKink5u++YC/yMctRk0A/OPOiTb6IqLf BIY+WyEA2pbCY//SGkFBtscqT0cAJoqTuRNGTej/NQI3Ggug/82F/bs/d6Km zeikPYcI3TzLlf/4bxv6NnmcPWUpAKF8fuR2d+Ieh06UPzgjAPKbsgek9anI +VP1WfeKAOinnLPWORWiyUPXXEE44f/qpcdifhew/Y8UqsUJwNbNmv5pphRs b3+1aYwXgGrS5hCHDDG0zWxsbkoXgKb2Z2PRIjGS1Z0/vC4QQNLKCv2nUU3A SM+/p1AngNK1GsIrxL6O9VHrZswidMCBm6oHj8lwZEFkBneOEFjPJm1aMLsO WOPvr9ssEALTp332/uWxWCh4saFbRQh6Adfzb15uBO32h6+2LCfsY54kj3E+ cpw/jAzuEQLJ++s5Xc9qZEQdibI5LASPy+Hbwy/wgf750qi/mRDI4ZTCvZ5V +K5n4HqIuxBMZ2i9yu2XoUKT48uMECE4n71hMJbfCIpmW60NQ4VAObRx3+PT AtDpjX42/JbYT+1htLGGCNSLyGDykegbjKPtMWOdOOb9RP1OIaEbnr/c+W6o DanKJwYE1cT3lq088UJRhNZDX8aVFUSgX9kSeU7cBbQrw3o5V0VQb8gf1p/O xfrdg2aXnEWgsNfhtJeVAPxn61TO9hOBP91m/Zdxog5X+S4cTRQBfUvw1aLa KhiZedvw33cRmJI4G7yjOLCf/09oWioCUtPWwBPZHaC+aHQ0t0ME1pfdHqwK F2POsSsaozwRaDE1jTQ/y0BnbKHzax0xkPfZ+65xb0XV36vWB+8QA8knIfSr 023Qn1auW2MoBusomYf7/m4Uvn3/c4OrGAbllfjjir3gYTJyKD6YWK8vYj+Q CwK3yNMWNtViYIdSqh749wHjSarp5TpiDkmrSrRsqgfbrLl6RcRcUuhAoTkk CKFUaJY9d6YE+sPPzeYYM6E+Wa89c4UEdKsLfC19pWA6bjDfaJ0EWKkbqZ1V fJBfZpS5bpcEOO97VrqFScBcgbbyrrEEqG/XhItMWGg+YDcy844E7Kvp15NK RJBouOPD6CNinfTLihwHASovObvrdxqh46fMP2I/j0PUv4dRYpYEGLPmaAy3 t6JJbQbzZDXBiyy1r5w4MViVPDk7wSb2i5ZGufQJ0epBwZQxci+YHPveKbRk 4Tuxekg5hZgr0yJXvU3mYsZj/eLLlr3AyQlf5dz8FR19KgwO3CTsCbxb/KEU eBW281p2YC+wR32kd1pasJdc+rc/qBfMLz+nHdxZCKqTll86S+8FewffCwqR HNzPqJphm9oLqaMvZY4mMrD9p/UmL68X9Df2eC5liEGx4dX6S0NEfF0Mflf6 DH3frfd7NF8KpXdE9/q1+yBgxdsPd9ZKgW/0+vjKj32o+O0V5SJIgeE16X3t 5XZ4debClv9OSkF/z95av5EubPM5cS3DXQoxci/dTfv44D9sO9pLYN+bO3cv jhHiu/DRN90PpJDjttNT+o+L1m6NuqEPpTA2xL58lyFCq8IT8gUfpRDglZmR vbsbk8xKT3DSpWCeWxN7yaoYfXfReY7ZUnBlzl/ZMJvQS1+m72rII/bnmK2V cxKj+gILq7X5UmD9fpDee12CiSnFPzKaCPzURONfYBOSTlq8WN32//hDExrL eiCx+v6kzb+kYP3ti7t9Qj1oWcXvufhHCkxL7Rb28mZwbra5Fj/7/7/LJySX BRK8pJ721WNdH9CYn+Zv/kIHec8EH1udPnjnrbx1X203aA20Vdfu7gOS5o5g rYp4NFcLiDM82QeK63X4e4ckSKN2aE987gPKhhBnuyQRCrfNlCMh4W+TAu9j esH1cVrtrx99MCJjXL08rxYYr2YIyVwiXs2ruN9+3aC51XO70s8+UOj/gNWn msGhtGNVAEkG5kf/lF/bWg66psuSJi2Qwdi4j3GGvhRGJjY9Za2RgVuHe+aO JwJwVmmgRx2UgVCKUzxb+7D0bGWPnBnhP7BpaL1ZHziYV2+vDpOBcs6G4eey XhxTvhSd/VUGvf8NeZfHdYFu/cInykwZUPVOZEyTdYJ5Ten8gz9kwDwfsONI WDUqBj08vLZGBq5Xc1ib7KWo0NX8dH2vDMg1j9J2ctLBNqJ37dwJGSSZTlnj 874R/gch+SHb "]]}}, { RGBColor[0.2484884, 0.3863264, 0.813373], { BezierCurveBox[CompressedData[" 1:eJwVl2c8Fe4bxlUqJRIplRRtkgYq+XULyWiIjEqlsisrieyM7JDIJmQme3Nb 2fNYBwdn2etYJaP+/m+e583z5v4813Xd34v/mYmK7kYmJibj9eP/92tPwebd fFVg1B18aN+GWeB18fqhvdiCq4Q7SzyVC7AQeCi+nNID5y4ldGySmoLyk28n YqmzQDvmQg/cQobv4Q1ntpTXA8uk4MTGBwzgbNtfzxw/A0KFk9ZjolQoaBwy aWiYh0B1uwGmvX0QPf9IwihqBpL/bu8n81Nh7meU+6upPhgkBuyrVpmEyKH9 319LDcJGkVXn/Q8mICX2XzMUjAJ9+kG/xs5huKI03V50tBPS3n70cBedhvcb Xgl4ms3Dt72Hwx5H9YHXg992gtnFWKWyd2vYiXlQ/n7wZ6YeFVTSRjyYQ8Zg i/NjL7vDdbCTnVoyIseAXwU7i4v5h+BUysi+I4MjoOQxkJVV2gS/WjuXgotn INtt4uHDjCJ4x/SwYXWNAdrR+rf+cgyCm840e8uGCRCd0152ZKbCj8+jyswO Y7CgSB3QfW6JOhs2hdv+noXbUTuqb3fTYU/pBMEmbgQO/3ZhHGWeg9wg3Xgl /n6Qe5Bxz5EyDqJLBg6Z3TTYH8u4HyTaBHPS78T7DszAMdab9vO9XRg6mzPv PLcAZmzfjiQ3VaHP8evP+3nmoe/Iq1hOzQkoqy8Oq9OjgWv0RejctT43a5B3 vkQvZH0UUXLVpAH3hJK9as0IvKOG7Gdip4HoJUOjgekRyOFI6iErMkBrRvDj n++D0CvRytaePwHEy0xDbVZUGN/AohTRQ4GP/w5EWCyNQOZEgWHajg4krtqd X9i6AEaaCUzmslRoldn7Ud9uBMp9zuWcSJ8DHecd12YiiTDMxvzewYgAvFIH PKqfTYJi615KBU8P9t4Jqf3zdAGy/ua7Mh1fgIGTzG6Hn3dAqxaj3ft4O271 +yszYzQPtrxSQ14Co8B/o1UsVJ0GS0o909W7ysCSaHywaWYaOM9pD3uP9kGs b8BP8+VRSJ/kdgjaNAl8K49upzWTIejK0cagmh5wpV8TMjYdg6Y9rnuOq8Vg EIvyXXoRA2RVCU4fnzMgsFfKYbCqD2KGLg86xtVBRMaK9xrPFETpHxO/8TUL WA+Kx4oLzECJ85RyjEs3vtp6bGY5dh7GVUyrfe7Pw5mQ0+KLEh1QG3D8bsM8 ASOFIw03zsxBffzZxKnlDuw4K/FuWXAePjnsTbf0ycNtlSt3rVfW9bfhsn43 yxwIvAl9ykrqgqxGCXtNFwpwusrNze4bhmWhwbkXbXQILy9d/H2IDktiMXqe tykw1fxMIHTLMJDZOE/r7ZsD246tIvJf1n3R/0WreZABW7IeD4r8R4QIenLD /soemDeB01X8o+BmHLZ/u3AvWobECHLoz8MKn1voZ5YOPGshPHz83Rx88FGY 1TaeglpxjatPVEggabJjY6/LGOy7ejd4WZIMQyInDqy59QKl1flO7sURcL7n TWEjU+G+fGkDg0SDxtPUM2cSB6BUZmt3a8sQ5Cq/HS/kn4OBG+YXbkq2QzPx uruzdz5w2aX++1s6Cfx9tfKJDxsB1GZ189THIXHHY/Zwcgee9DnrUCc0B7US RwsbGzvgxEvRXm+5UaibLB0255wEI/+TviubSdB/Z4URa05E5fcpLMahc8Ce FxrL9acNry6aP7BMnoXDjyRperPteE3jng9H5yzsllJSyO1vQ8VXmemXbWeB 6U7e2bsC83D4R5XzxLtm8OOfjoUPvZj6ejJeLGIO4Lfg/GrlPBgoRlmrsdYD m8rhnb8j6mCPZUavnd8YPHQUY5EZ6QPTHB1TN8H1HFG/1b3RhAr3pv79PORP hV1KyHTfYgJIbr5uffq90Jfk7+/QQYE2oQ7pss9UKCEfIHjEM2DjrxUicyMB MqzhosufTjjmuMTFJTAM1f++3q06G4eVBKZT2WxTsCPf3mqCOA6RYg2XmrR7 gPn0Tr3lqBY4SR2XYOIagefX45dMylrh1QvJqnGLYWAmadNTu+uQbcqyI3V5 GgrXBOrP+jBgR6h7Sd5aM0R8IR993TAOgrYtowL5XTCnYbfKFNwKvs8ZecWL QyCuEe0gt0SCRCFOl1kJKoT7fvI4Fza8ni9Rxx/29gJVHoXjk8shd5uX4qbP I0A5uMfy39MBcB1tfGd6hALa7z5ai7fkQLTi57dasqOAntL/nbYbA0mDWS+L 811AWDSnGBxVxY7LR9kL0sbg2Yzry4NAg/EoqSMkzn7ApwP7CmIKsJT7yDGr 7nEwrjO8O315Fk5GWu0xplZClaM9D39LKphv4baLIoxA+wWpJw+spiB8Qdr5 tHYzbNcS6CU9Wd9rigdFlg9UwJjcseYpvjmIXjM5c+9iCQQ9Kxz/dHAA806b 9Y4HMKCmU2pabFc3lJa+inQUpoDiUIXiQc4JcGy/5m9woBXUY3MvmtBG4GWh oYFweTt8e1C0/e+vSSiW0amwFWyAL/Jim92LsyF8tJ8QMTsEz1cNf222ZcDp G5PK1aHloGNkd2S8uhV7KhZVdBYn4Eu2ZdfX0i7guM41NGdBBi6+Bzsk23rx zMOT160ipmHIkCvt/DU/uH89jhffDUNbLtfTZWUarErMJmwT7QarK3p219ry oRD8X0k00kHAI8pxao0I1cG0yfAv/eCfEGcnEpMPHdXCful/acCjvwtUFAex ivPo/rH6aXD95xNbylSO+06xBVVxjUJT/ocN0YllOBG7zUN9dQQuC58Su+g/ BYEvWq5QzcvBt2RB6tvLNgwyGTi+8ngcVL1UBHti6UCN0s78WUeAD+e+hmk7 k+HMx1eiTI7d4JhdfODIuwTQazQVjNWjg/PzvV5HNpDBjzeeWWGyGz6l76ub WKBBuUm+9V3VdjjVZ9TQrZADT8PSWzucaCA2yhezYFIPTtWJtCesFPDfWztf cKQPy8paOsmJkxDVIr+3qa8P9B3/mRS/7wE7j9oGEayGrw8aghrlKdDFHeVy jkaC4sFt+qwHieDsfIZarjUONxVU5yy+VgDzskjQi5hZYFwe+C2v6I/evJo7 OHvr8K9bKbm/cxh47IyM8uLXc6RXiuvDpm846HYjQau6D7K/FXwcKe0ETx81 u4/DFHBvLeOpnG+FZpuRbYctRsD77V/aqHcV1Jq07jgXPQq7lXgNhuLKoT7p 3+djOv04mNVJtm4Zh1ULJXmn7HcganI45pQwFYw23i5Iu/YdCRHJjl3r/5wV df7arsJIvP04+W98NhWEvfIy9h1Vg9tXKaLLO6mwcWezumHiOGhfzsaahWy4 vXcT+b4UAxw3LTdruH3B1uSxxMb/GBAt5dkluTsSZbm8HF7pVmD+8GaZ/eU0 mO4PMdgVPIB8SlpCY21j8MhdmqwuPAGJP+DFKf4YeLl13HmzJAHub7M6GuzW BQPV3+zUNk6Bo5dLkrbqe/y64UDpRfcYLFv1OmO3hQLxttJnl1e70LGxkn/j 1DC0/xUp8LQfBW1TDc/ConR48V9bwt3JHDw/FG8UnEmBJ3d2ue0Jj8ZPsUWG mVlk2ODK/fXTi07cZfjEKPvUMBBFtxptdiJi9gVVH4HZYTheG36+Z8sAEhKd 8miqoxDTnJk/vdaGHKWOr9Ns6XBd2hiGpEbh5BmFV7ZP42B3nK/BL30CsmUf 8NjnRIeoa/YFD3cR8Kg1L+9NVTp4fpXcwH+6EQXtRU9PnKDBXFn/wbCsdvTl ytulXUCHs8wHDqhxUWB3hrxL8Donm2noOfnxU+B0CZiryVeCZZNb/yOeCpyp qWHwretNVV/lybG3w8ARM7txKS0BagI2lk3JDeD5gyz19+jD8Gr3kJX8g2YM XNmUwm1JhdTVZxVvmbow4cPFx1JH6JDvFd1dxJuANsz6n95dIUGZjJamzUQ/ KtKjFy37huCGxcAFns3t+IBLrFEwkwovfzEXrtg1IDlos/6YEAVs0jwXlY+N Qf7FxeAxwQQsb2kOX8wvQ2OCxphu9wDciPy887wkCUvuXFD6L4EO68bbfjC6 Ge9LxR1OayBDodd/eoeO0qHsQtlXc0IQ/Ojs+1R7ahxYCK1+y1q5mHGnKCDZ egZSXeUUzO1qkBGnzHU7tBKbSAfflVwZgPb6jWJ+jh3IR+WihZ2gwtXq0E69 gClofHeCusWsEncc3L3zTzYJxz8MXGm2p8PzS1fuO2RX4Z8NVz/t2DoAurpu 7QNhtWg0/yLVZOsgPGU6Vpw+vz6Pif+AdHA+Fn3OUT4tR8YdR5c0Fkl0KCIm ndJ1qgMj0bINfrwt4J0xmyFsOQOMAFnWkIF6vKVqnfkmrRNEKUWZAwlV8PRn GKBRDbi/qk9wD2sBDitZc/74buCQk3kjml4OSyVTfUyJNFRfmznDETAMJS71 ea25NHA8Isfb6GmBTdmFzVsMh3D7Jc1T7e4jkK92/e8j5hqkEISexc6SQEjK LveBBQXTnpa/QuYhqChcZGLdTUXNbjVW4q0hUOJLO8ZtT8XjKS02D8yHYLKJ kDNCI8NZ3WRqWVkUmL1RjjSz6EWbCubVXW0U4KKZmoQVjsPwkU9dx478RKKs 0Ev7v1QgbtawlooKQ14m6bd8WTRULM+RNrMagpOK9vX1B6nAtK9bguODB1Ln 3z8lqzeAE9+VCdcHtXB1JvZFtEMdLO4RbSuarIWVmKQdlk79mHIDH5v/oUDP 8qzZEQ4iVkxqP/LXIYNgi1X0Yf4OaK6Wuvqvvxg8CBumCrR/4rvGTL2aFiJY nnWX37CeOxVLTqYmJ1vgcsUD72GNJtRx/gcOzH1w7qfrI6I/CZ9v26JtbUmB lwNNVYwWChYFOoZM3qGBQr79HW2x9V4y5/z9T005vlPsJnnXfYHPfp9ktKZa of5ixIlKGxqkCf9wDdiRha9zz+fLsY5CmItd7eTbKhQN48gtbnRCQV49ovar NhiYXrp6TqsIhITEu3uE6yH1ZVxY6ywVbsaz5hgoZeObKysy189SwNYn66v7 lSSsdN8iOvmzH5Ql/TTN/Zzw4VRrTT9pBCcjJL5Nr/fNyk5F25hKKlqHz4Ic Fw22c5IbDIKmQJfDSTmvpw2vNxQ0qj+Kw/TdvYoDem3wdMOSO0SOgHqI5OQ7 SjU+b4g0tbHvAdNZ6ZgaSR/IC75blF9KRRazDGkHTyrcZem55HHYB7Y+8MsL OtIEPER5UQnaEAqEUwq/nqYDE5Uc+2B6CKrz+Yxi13vfm1nnQ4HmHeBicqhE xi4R4k2XLy5Mk5H1EeOR5wUKqLnvKr+fNwK3Q0ry1y7XIVcZOaHFahBWFT03 D1ql4KCGULrrhipgBD6WZ/cuhwov4fYNd0aQ4Tu/dLmQDtwbYz+8dyUD79u2 yJSGTJw/8nrzQVUKUEskicJDubi7sGbLqQtTcPgF32vjD+04ln1LYVSwHZjR 9El9ZQKYZw44Bh2fBPFQy8C1LwTMJr6wJxm1Qz4gbdAsBmyNtzL6Q5pB+wRv mm1ABpRvP/PsBuUTPHTWKGyYqAFzZfvJIP8RCGdvZRGaa8J7bj7/7aER8GXV TdYhiy5QLbywzWyUBoLXTorWsdXgzYv3Yhv3DKAFz+ePQpYkYPbWsvD8QwCm 5wcVb/FoYqfLbU0z+89w3r3zpunRKiDTjucIGI4Auz3B+P6VVpzq3+pEGpsE avRWLp6aLkxscshjaLQj9UfSu6GyTgBZn565vSTcUCI80oi9ELfsu9+/aBLa 1eSaRmW6sejfXvZiaMWDLV+7DmxvhwNJ/mLGFqOoNSbDRhikwgXtnX/PjTmh joXdj86ASij99Sxsm8cQbrrlXKCRToZFWePvDm2deOX8RPnjvZ2QKJ1z2zep DStO5oyr+hHgYVobRUWqA1/kxe9ubmuHm5fvVzsd6AURCTU3pbYi5LqhOFls Q4e68FupJ5JaUHzXtZ4f9q1wtFXQbk9qBOr1xt7i7aCgsfoqn0Z3H+xt3tZh EtAL2WcsUnx8y3BRPDu7fGGdI7rf7jamN2HCN2cnKcteFHZ9I77C0gWBoSc/ zSZTkFts2aHuTy+c+ydc+/xyB1Y55W/wkCBAxU1nHp7YHrS02Pl9SbITKE+3 Ktj1pcNZx3djf9VTgM/QJj3JrhUm7mseG+HOxP7yb2iWlITnwlf3P7lVBByB CYP6JmSYrtZSWT7TiIc1H3oZHydC0Iv/XPROVWCuPSuHlwEJcZeVm8FIB2B6 PfEULwHaTI1/iw3nYW2KdGRr/yj+sBz8scOdDKubq9pTOfpBuvzG+yDhunVO 5S0ISl3nd5YVbe65PuThT0kwHfPErolRX8aBDLAfCMm9fn4MOC4MHiLY9eB2 BptMu00VzPPe5fmbFo/xwcGWrFlD+Nc1QWNNggTx7CVm2YRx1Ka/bPrBSYHX RWUHZj6s9wEzw7xnxkRMi7nMUxLUAVYXOK/b51Wga+5zp0eKXTDB7cJ9o6cK vYKSi5qIA5i9jedM60o75D3gq9u2JxW036t/ZlF/BLxn7ER5awqAukKpY70S g0XhOxb4nAbxBbn+lmRMO3TYyjw0qqDhpoDDIeLZ3ZAaFnKj+yUJH7GndNbw tgGN4+FBw3wCLIjwZrX6VuG9EqUjFCVEL+nU4La8LPimS11tmh2FtZAbfgFJ JFQ0ZLm/OTcP7Kb3mewZSMaYA69jnsQSUam3PIj4sRG8FYJ3symSwft1xuvS AQIGurav6nC/hcNV8q8P7rREZ50CA+XwERQvm0eFlV7QbX1z1UtmCCZmT2ZW dRHRvqbAu8MmDz2ijgvY5iVCTe9ZvucSNGyPOnSVu7gTrn29W/NYeQhd3oiE 64x2w7Ac25GpXgJsts+aJF2sxZfnNbWsvtPQaeMV7gu2nfCxmZdJpz4fstnJ NzLKs/ASt8AV1W0D+MvR+b9dcy1AIyR/WZslw2tVrptPlzswP+GByeJMPShG 5ZJl/CvQs9eM+KyrGnlesspG6maCyrHpm+pWI8Ahnrvl+6l+bJauZ/12gY4e gfsOXN3TCeyvQmIzDrYjU4FZdoNCOdzP2c5sRBnE0aEGddHOFvANHo96uqEb bkhoCFz+3oJ+T/ZyOHL+xOMaUo5yn1IgvqLZsH+QAEG3nBQfezRg6+9T9tsK 67F6s7xWgFcmzCxl+UvvnES7nFv/DNf77nmffCF28SGoubaqNDvdh5uchNik T5GgVs2h2WC0HZX2VEO2Ax1v/176MzjdDgHLBt1JfiSIDL330VylA639Ylre tI7iqjbbz+kmIjxbGbfVJYzBp9eFqjZdZGTIBgYoMw3D1vOxZ2xs+jHQT+HH jZtDcCLw3FLVbxLyfl+iKPat96R4mRt9DAJ6ytCZarTIuBorcvO4UCMMfLQ7 YH2kFN5biigUkytwOV0pKjukDJJufQziGq3E/iqFY6Ij42ilmeGlQ+yBGF1N zv9+0CGoW+3kDel+1KwUoneTerDq9EpfwvZK6JUJdTPTIuFqhPlOc9OfYNKW pry7iIJGBx9yHXVogoOTXJoqT+gYoFu4ySqlDZLPSkvqX+oBVaNbfw7HdmD2 zbaJX+otqHnqfpeIRwIYHDrZIXwrCVjL3he+Vy3DupR9RvChGploqw79rcpw SFr38BM9KriP0+5yp/dh0gmJBdvCFgzNY6Spy8dDyIxo0APuQbwKr8ysqNWQ eVfG59LXduzs7d49LJ8JaqeZbT0GRmHHNb5VzzoKnr7nKjZ3vwoGTn3nSHCo R4ous4JSFBUO3z8mRtvWjwbP1qa1ZzvwQln0hp8nM4H5o3+Eh1MgJJNnxXJk y/Hwv9RNGVP94Oi+3fiQTw/G2Vtl80nmIJu66MYvPLl4g+/ReJsWDU8EN343 uFQPYg2FQfSjo9ghLuXY4UMAbyHug4XDJNyYKTLjpl4MPAZc/BxcPaB2guvr dXkitlUKFO3Tn8KdPxfN7h0gAu3XxOpCWwZa/xJb2+NZgmxi+79T/+sDp72V ycN/evBZzcls6gVzZFf4EPxR5Sf6OilNrnsNt1CzRwblSuBvqJXkXjqCfff7 BfXvrSj950n97ux6CP12h4N6vANtmYx2Pt86htu5LBknP7fAgSrWffzHq7Gi lKgpRS7E/nke4danzZi8HBdc9isTffrC//LIDqGMl5Hkx8ifEOQ2a/ePvwtN EzX/pPn7Y+emU4uyqm1oofiq3/rcD7zW9bJreKUPTfX46noDY4A7jj1gz0E6 iIg8vTnTSUVP3sJx4kECxBl6LTH39yD7D4tiXsFRbOYpEFgdrYXQkRaS5kAr VEzdKeC63oN/QiK9TZ+P4NWmOaXjldUg3StV2vpiAB0P+zT5t0XAa8PrXyQ5 mmEpOkPW6DURX0S1cRIT+oFZk2g69I2MN3PS96qMf0dXlzbtgEeNqKBwrtyq tQlTpN+yXXEux+QHV7pGun+ALOX516TxdhQ95pzJGtSDo1G3ZiSZErEi9Wr/ zoQ+gAipS95cFJwJVM1jV6lAJd/oP9KX6vEX4UlUbk8w+JVs/XK+oB0JwmUb BVK64WOpTuxRRTLK5T/Vio1vxy02p9z2E0vx8d8gSz1ZGnwI8S0+v20I5S6b Nm3Jo8EJf6vtv9dz1s+vWfekxiTWXd+uO76zDp5uIaaHrWZBrQ/f7UT9bmTr lP+vcGgS/6xa704KqAMD9ytSR4w7QcWq6s95TzJaKMcIHggh4cJi7AzPpwy8 cKzmFt/VCnC7Jc++ptmLmw8rHXn2oR0SE3kWLt0m46HA38SmgiHUdjujxK2Z Apn3COHcZ/pQZyD7tcZSHgZfsvP9ejoWFWrzHTs0O3Cq75v0H8cWVGEZS9z2 ow51GDtXLq5zXuZ3cYOPQ814TpWY7KteD5/SoDIxvx9fSr5+/US0Ai9MflO9 vacNT53nof+VHkVvmzOy94Jz4XHR8PvaR+v6EP4SULBnBHmdWJReadXCXsdd WtuuDaA409NSvm09OPdf0Jg6rRyNDjuppL/vByWByFRdWTryUHZtlDcYwFUh jVp19nwU2DW14ZJjH7gx0mouTdBQKSXc/9xYAb7gHmCoYQeGFrzVX9tOAku+ wvQgFzq+MNuzy8+0Bl/xcdiFAQEr4r6csL3aA//9omLbWToe9bYU6cJ+sGXR eXo8cQjPDLIa/PLphxoL93aekSG82vu7XEKzE7dwLBDnrzShj+h5k4jfo+j4 9Ie893AofCm7ejVxRh/nr276UXSlD+Xibt+ca+rDIHdVndIttXh067PYJdUU nM4J95ODXjxKKqpnziuBDIKSw/t1/QyZOnW/XMiBD25rpIWOQTz5pchtVSgD hNRtYkmnB/G7OpupP6kXHrs8ZK1VHcaJ746N5Xtj8Hg+6ZHsJRIqdf+sk5zs gd1yTz7EeQ9j7KVbKQbr8zcLHlObVB/BHWt4jfvIBJKHGmXmi5zBXkON5+3h HsgS57VvZQxjTUTSstClFkjtDPtzUIyO/DERF0uF27DM1JS8NaQT16J+zCwz TyHHf/9JrfpFQS7TZeXv4gR0PzK0QZu/EyfeXcwWGRhBnn1+YzzP0pGggArV jQxMTfn8aHG6EH6+6Hw6ts4hsldJr1rK23DuFmss6Vgmpv/p7p27PICmkk9K vD91wcdR7XGTtWH88cm0UaR6GomUJDVWi1hIjXvcQ/CuxcHYdEXSh15U5rOY m7zjgVNv+s7A+j4d4JZJc6ykoL3aMfY/pQ0oGjqn9/hiHzKpeZhqQzvm1Hfe nq4dw+goNo9C9xwU7/VJjbfMQlnF/EvFlmRMlo6t+qzQCUzq7Re/so1ifoTg NgmzJGAaqZAhb6PhXfOypOGIV/j7B2HQjJ2K9o5Rk+2r0xgtyck8cNYVk/Qz X49bUlH6p5RFtFUzmliKK/MZtiPnyDnmiB89eJu+zdS/qxsklQbtIgPHsPos u1W4MA3CO4d2BtdNYd03LcPM8RKs0u/uMGgjI61oZ1qQXCvmNOhF1Gj0o9Pi f+c6b+bBsPdvA6vdQ/iDjXesZz8BbbqPZmqu86P5m1OaTb3jaKDA85OTpxz9 WdkXPaPqkSmXM050ZhBf6nu9zdSfwVqnhA+bZ5Mx0FzwJduHGXSfN91zhZGE bmYStz6e7kWJMzeZWzKIuGp9nf3NlwYsn9Qb6+kZxE+G9Rl8kf6wwCr9PlSC jupjuhJf/CewUPsccZdWGU5KDYU+a0uDL1Lk+9eODaHeJ4PlE7N0zHJrZ7l0 phV5449zyJT04d1z8t5nC4jYPt6p652dj4cYAt+krtDQVDwg3XA9f8/7cFOY dk8hf/qZJuKNFjhnpR98rmQML99mDpI5XoFJXjW3rKKpSPHxgCMPxzBwg3/P zGI98omp8erJUnG7G6fI43td+F/X7WM9p39C1xGJtq+EUYyNWdkclBqGaeAi Uyg/hL6Kp79RBBlY+/y+4D3XAqxKwWI9sRGUmK7QX2Nvw2schfuLzpJhv4ut 43vDGbQYg+hKwVbUmshMZnlHQXqj1EXt9f2+hyVo81jDFO6ReW5RMpgJgQIi v7dfGEW6sDJzhuwsEr8EdEvczcdIXzfJz3EMdBTffrX7eynKzbuEFtcwUHmv N+HofCmaupyS44qbRpcALa+N0tWoqHz0w98ZMuoUheqdONGHnekO+XdijdH4 qSunhOoItlZfrhH2JKKQ+P6Z60/IGPHCbDv9SwfymJR/KfGhYNIuNXXLZ114 ce8mIx8eCooEln++llOIflypAb7ZQ8jl1pggs6MHNmU8eL1h5wwWn064YfU+ EQ6VSzscXxrF6ciBac41MlaxSgaeJZCQYfXG5OIAFdO+RCs+S+/FVAXtt4PF P0Hp7Sce5ekJDGRpl2DeOwDynxSyTjQxUCNZsCbMuRAkxSJdaDPjqK5xX9L3 bQJ4/ynfeoJlHOfOfGbTlC+EVP7nTjWSExhcaF6lss7Xmvep/e+KGbhJNt5m lE7DzG9pahnrnLESMSI5q0fFTDlHNVOTAdy/Kz1qIvAnnDgt8PHayiR21nie xq0/4e3yqpw11xTWWqf86dwxhzf1yawa/VUIpM/ntFP68AbLB2w8RsUWm98f Q1l7sMPRxChwDw1Lazae6qypwRpmjuvLw8N4V/abjI0NGc8ffyMRt0hG5o0B jT6x65xfpKbpw8VAs4T9oRGCVdh78cnZqeAR3C+S4XYDpnA3/3i8jX478p3j DliRZiBTk80dVdMWtN4bYJZpUIO0v9yPnT1GkJ1rTmGUlI+il/gKF+3GMEmZ ky4kN47TmzIV/d4R8Ulxzf03R6tARttaJ8hiGnkDE7MTvLqBddaPX1BmFslu 3MDTR8NzpW7OMnfJmNhcuqLXGAJtzST7eplJPFI7rtv9jgh9Gw15rM1nMXSX wZKuGgW7pb+QxDopmB+okxtPI4B5sGLDv0QGcvY2XjNMIQD3xQDmbd8ZSLJJ IOgatmGwgaz6I711X1gNfWHTmsd04VFhiK1F5hfaatf7J1GlKDOkhtGNz4xL AhKykvCt2ljlUuEETvZZn7e9zcBixU1xjoPtaJOcePWjRhf4qt5JEvo2i5GS +66cUKLgimDhbN4EFcV+vnweUZyJ09+dbTWDJ1AkP3KBe46Mj7cRnIwe0TA5 IPaxQ1kD+nxRCcw5OYamb0+u8MR240P4+43yaBh1NJsq/X70Iytv8Y+CyCFU OiEenXyyByR26oxdK57DwHrL3N+Ts/iNdoJf7Uk70uMbdChPR7Dl/ruvmyfI SNCM9H68bxjd+EQ0Z1Io2DobR9rfR8QHpx1Kkt+P4L/ZWxMHJDogJ+Roxk25 Oby8vCKTtncMvbJ/3xKVJOM6clVM7aFgc1Jk6pUZOtbOKA9e6vDH827Ca56e 06jX4vBJ+GAnehgp2jS1jOJ9su3z9JwU4DS55ivxdwZF4+wCVRLboOxayTnR fXNoff1q5zuBWjQnXh098XUCLZnY3/1+VgUdl4DmyjKLp9pfXj/uToSwkFr2 8APz2DQdlP5Ah4Yu5a7D6ss0NFaRVHaqiANRnU3G5EsMrMiXuLjTcA7jyGuv JZ07sZZtFdopQ2jTWkwhGdPQz9FYWOVzHvocmqHOaE/joXmFcKXJnyjRv/Zm kHsKSww/693WbMBviTGdo2WTKKV1Z3ivGBWV3TeUhF4eRt5rTyViT+ZheSLR fUl3BgPVu6x9E4dx+vcbgcE1Gi6q6s79Wn//p1df0itzGAWOkm5tZapF7zfp YWKbpvGAdZ2HZXQmbPx38RPj9SyO0AVXxnoXkDQ77bNNtB3NPj8lV4d04aV7 5RS98xO47dXmmTPW/bgpen+9ydUxvPlB7dBNj1lUbnuSuLVw3edrY2y5S+0w F3CPYPdrHkUI3CztD3vRxj18w8OYcfSgHmJR8mdg2aHkszSJAeS1VI62PTSK ajK+/jMGdLysnSZ71bUHWGZbbGv7F1C/XdEyzL8SOHN5o8+GzeHbrYrF7UUE GK3p8js8NY++G6/EB5ks4AOHx4oxlZ2YIeYq/YmpH68LKT1QEBxHIXb6BblN C3j44soj683daP9L5vz5oiy8xzwj25/DQB7OmNzX88XI4vRrV8VzBj7tufLr p+wiJvp9HbNI6MC4oIEDF+514svaModZwiTe2TdzfCNLDUjLhGWKnJvHlP+K Nuq1UDFOZj79tfh6z3pLSnxbVodrixkn9FJncDoZL6VkBYHO+2dvNKZmMeFJ 85PK9dxyvvtJyrNzCIXLAkJeWC2islDdQCdvF/J1iOeXyY/giK3J4/SAYfxq +4J3NqQPd9T18XNoTaLSh+3Nj1OaID/PMYSuvYCD25lEpePpiJ38eukFo/jN Q/jAjCQJBwrsCMsFk/g/Fn3yUg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[3, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (5 + 3 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (3 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (7 + 3 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { 2 + 5^Rational[1, 2], Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}}, {{ 3.9270509831248424`, 2.48989828488278}, {2.9270509831248424`, 2.48989828488278}, {2.618033988749895, 1.5388417685876268`}, { 3.4270509831248424`, 0.9510565162951535}, {4.23606797749979, 1.5388417685876268`}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.8935136, 0.6004149999999999, 0.2205464], { BezierCurveBox[CompressedData[" 1:eJwVV3tcy+8Xn4RFlApJmISQFCGkMyoqISmGMCQhqq8QwhCKKJUKURSSaOmi m866Wlertu6X1S5ta20hCZXf5/fP9nq/nnPO83yey/u83/OOeDsfUyGRSMHE z///mal6/loNStQ8slrW+qkMA/iOpbRSJRpKXn5IrOgCSVBmVRQqUTgpjhu1 vxc5rzQKwgKUSL64MxDC+9BNPNzd5KnEMA0n28UyLrq3/NMJN1Kiv2W011B5 A+huCXm7cJ4SGT1lkssjSZDym1e0YIoS7T5YWI7pasIk0vfw4AnE+ILQzAiX Mgh47vKhu0GBQVPjOcsFPFRdtUfqVKhAepB7kGRWPcZ4vOFnZyiQZdpakP0x Gfp19bzd3iuwTdqqtk9fiboRpzPXRCmw/+KU99f4UpBvfrrD9poCvaZoaL0x E2Bg6bwFqXsUSHow4+6/7zdhiMzarrRQoM71wR/f1/WB6uoFnYfWKJAyq84+ Zm8L0j1m7nU1ViAjY/tjDrsDYj24c7gzFUjFAwemTK9D42+0Fm91BRouOm3x 6TYfvJJ96ZNVFZjYFUSK6JSC8UvtZ/I/fUgK3HGX5xGAwpWuB6mFBJ4z5ZFN 1n30DNo83fd5H1LfjXly6T0bQ6Lo5zZF92G+9xjNzrUCKFm3Mm7/qT70eRhi eSS5CVUvBzk/9ehD/vzY0qALbWiq1ZV5dk8f9qc6D4+skKHb3djen0v7kHsw In05oxt9BnWM1Sb1oZetm3PVfgmy86XbcxvkSOIp7t08mg/xAQVq1Dw5ehU+ iWVsVKCqytelKtfl6ON7mb4stA9VswTUPHc50hv66dOrvgLZamxyyV45ZrQd Yurad0HiduNzobvkGGZH/VFmUw1ymmRCzCKiftDPhweOBkBgd/ONmvlE/o8R jc8GheBFv+O31oDIzxpxdVusBMk1TsmXn73o9MoqfbF5ByQJojOfiHpxaN9Z 1fMfGyDp2z6HxtZejK+VWWgsr0C/Wzrm02t6kWQvuhXxS4isJaxaxWviXj4/ Yb0prRb7z765IEnoxaqOaaKKVAWaW+6wo0QT8WvdcxTjuSgZzt7652ov+jyz u1x/UAZJ9amRg57EePRs2u+S1+iS/XJK+VYC3xC+O1PQC7H5DDNdByK+d9s+ zdwiJHHdQ0/qE/NN751tcbUS/H5HXF80nlhfusjaI7gAqCZ77JJ/ypA+uv1d 9d9mpEc/tNnWJ8P4qZMHF6z7ijpaAfNBKkOmZu+DYGKcUaCfwxMS8dMPaIRe Y2PVhjfz1jfLUHd0e9/s/k7kx2QOzCBwGDdVukSdC+zRtROWV8swaWFa6Zlm MTiR9Pq138gwdlX7quxNfBTi35C0UKLeEpNTx5aVYSBrKLIlSIaqz4dl648I IP7wQ0HfORmyBswmNAV8harGG0u8XWWonhWTSB4UYWSb6plpNjIc+sfaevGr AJnrVh+rsCbqWZmuXt2pgIFNwg2Bc2VIObpj0261emirjW/Km0PU05eUNtux wdPo4RKNz1J0unswN6erGzlrWLcT3krRbsC44g1xbylv24vGREoxRvXD3Odj O4E8b0PCDIYUkx5fyE2+VQuk9OI917ykOHB62swJC/hotGqSTuUiKfHedfom etWD6tYnWt4GUqRfiLDc5JoLtCG6+LeaFDPojAH3zwoIbBw5zBiSIGMdnX1u bTFa6jqrVtVK0PSQwcR7t/vQ5mPXF6dSCVLqR39mWjOBsdPX8UW2BA3H/V6h EPLBaYzZ71OZEgyytjzg3kvw3NdPf16/JuJz/dXHpfHAfXS1pZqHBIee305r 8GhEWlbDnw9WRPzKLbnfp4sw4OdHI64+UU971UGTPgHEmFj/vPG6B42iu+4X bq6HgDu1zh1PelDzW3PYf0+/gPzIybNvLHqQ9PmA3Z+yQLDca3VLTOlBm6Ph jpdvC5B8JKuvQb0Hq5Y1zb99QIDG+Xt/zRgSo2owO+2HnRDpKr+fhvwQo+ak 9JjQ4Go0NRlz57hAjMyn1aD7rAKYXR2ub9vFyL93pYivlwvuqTGXxxWLcdhk YQM7R4ncs7NPLn0lxqHCOOvOqHrwH3b7q+dL5H8oCj9sS/Dxqgl39nuJsell Sm4CmYeGA+IO+lExeu4ak7Sc2Y2qkb6uNmvF2P82hJsS2QCR13SatOeLkfRs q7a7by4mrZx/hzaZWO8u48nL9wgx8ka5eYpIhDa7SOxtP7uA9M2/IrNNhNST ntuX67SA+SnfV0n5IuR8UvO/W86BmL9TLg++FKHx9R8O1vl8MP5y7zntuQj9 cLm+2VgBRN7dlJsYK0LTcY+EPyZVgM16qeaaRwRuXr0g8ZYA7Wg1ebrXRMjw TrHT35UDIYGGxw8fFOGwa6HDOr1uiKFc27/SRYT+UJb0/Ekd+EGH525nEdI1 91+TPSqE+BWlXhusRMhvuuUxMD0HHaOto2SrRWixmvdlumMXCq0CV7hqiVC3 K7V1xq8eDDifsmTpkBAZ66fRh3axIV9qbiTPFSKzxsvsVpwQ/F5/U/zMESKn fW9DX1sNhFh+4nGjhWgz/Ylwh4MYsx8oXncECVHnSeXAeA4f7NJXFA1eEmJA 0U3VXiYfJTN+jrE4K0TSQgfd/ezz2F9bq2rkLkT1Q3/Jv1oEIHmza++gkxCH nj4dy3zXjTbuimcuG4n1bFPXMxTLsYnlmZM2mcB39SLimqNQfvyBWPBdgNyd hga9z8SQojqLtylDgPSto5EFj4pAhzNyd/trAfZ3P/8YqNkKZFpQ1d5HAmTZ iK1+r0sCu2LbjQfDBOijop2mql+KIfqHP/86SvAGowrm9InB+Pnilx/2C7Ap 8sDxWdFStLh3O+mgPXGP/4vz/cxWoruPyxo2VYBJa8Z8frW0D9yG5k/S2CBA 0+wjeloXGoHR8X0kwEKAnIVWwVJlMfop643sZwmQVPDSL9GgAVlP1P7FzBQg Y2beIRPfF5ByxGR2MFmA8fdvG8ac68SQl9xHTQMED3HYSflXa4HQOcfGCLpR l72Me95cDKYmP0oWd3Qjw3hppllWI/iPcco+vqsbKc1WKv4T+MhYrbmaSenG fD1TwykpYgzJLA26qdGNYRuetc3/roSgkeWrO752IefY+gjur3a0vJ7br+bU hfwP57LX5hZB/JPNurc2dmGS1SvScqtesAtwL6rX6cImJrfMV6AEocW5XVca +ZiUtWBpxgwhaNZfeP67ho+m0pyDo2weeo1xjdvH5iNnc/Ga+DOdmKJ14Sgl hLgHrS9nw7UGML1Z+fpHEB/txLvPvIitA9O2+Vrn7xB94ATZOKGTD8N/syTW 5/mYwewJWX6ImPe10bVsPz7Ga30cXdNfipSde+feJXiWnlXh0Di5DY2fW9sY EJjmfGfne7MO5ARFJJwY7kRzh/9mP47uA/LXo99+yzsx6Op/WV8m9QFDxen+ hNPEeKzisfyAEJtkPXqrtnVijP5vjfG7hBjfnAv/7DpRTv745qetDIK+WtVG T+5Ef/qWeE9NYt+majAPJ3Ug37Fxc6UvD4NuOB08daEDXbS0Nmn8FiBt5D+D +a4dSH9uSdvBzUH2O0fKqS0dyMx5WiSw7AP6aEvyXgLzzxXGpW1ngab+bdna 38Q5UJLFOtcEYLHtSs/Uvnb0MR9bXktSgqfDy3/zLrZjmMWsaXyXEuAc1lpk cqAdafOM3TcSOsJ06yySgVM70afLP29x6sHsisp+6ZR2HCCpr74RJoOm1ITf a9XbkXTkETN3oALI5MZDHffbkHTt1L1LG++gaXDNDr3bbcif4pw6WYcFMY0w b85BQqcljIaBKRfjOdus0zXbkEbL9D16sBvt1tWMedXfitnh0lLKFhHSiiYs ofW2It37ZENOLg/IFyezQqtbkRbhlbsvgYtkZU2z9sFWDAh/pR5FV6Cm3PHo ZAIzFU+qrNvlSN0Ynr5lKpEfMSu74K8ELNLzycFPCB1bu+f7k09VSNoQd+/8 zRaMH9WhznhYCEOzfvl/sm1Bfw8GNXNOD5DmvNpgatNC6PVj9wttuGhhfXh0 zaoW9NLRyhukCIB2/kW4ll4L6t/gDuvslECT08Dqx1NaiPdu9dms+ivhA2YO 3VBvQRJT8EiDdhjCnu66vn+gGSmRARKjG1+haawijxbQjHZfusmVwh7kXN0p Mt/cjPprXRd0MZRAajz59rYKoYv4Cy6LEqqRflSid+VyE8Y+niW0M+VjTE7N QW/PJuT/GP/dN6wUaIZrzse4N6Hu14iQ5eQGYA4lKbUPEHiL063+KVzIbmVT NPc0YT8p2HWEuM/k9qdzV+5sInSW9udruXKg7Zu9PI1MxO8KSSkYbgK7FqXx kXFNSPUMW9L9XIYxk/440N41It3tRDdQs9DpQnG/nXUjod927LWXc9Cnx3vc kbUE3vZ3wYSfX5HMtr/0q78B7Z7Fei9P5qFP5rdMw6IG1Lk64nsiVQjUZb1T JkY2IGnEzEltajqy953JtLrWgEOp6h8T3bsIn7NsadXpBozP072/vbYSwiR8 x4x9DcixlG006GwATxu3b882NiCfP6A9NbcVaFfDhC29XDT1m0IyJ/pm0xzq 5AdnCJzarfn1SjXQ58oNrqhxkeW1KIN6OAF8qtya/Z/WI2spXp34Ox0Zb1lW R67VI/OIg0GIoAecwnrIuQ71yG/Nmj3rkww81yX5/Dhfh4wI1q2u8DRgqybo 3Tepw/hjNpJJk3lomnLiOncuMZ4RzRtxSEDSoYJXftPqkLVDZ19QQhVqrlCv pOnUoYuIfT1qnRySVHK3DEhqkXFEmRowXwYxcR1aCYJa1HHRdWzxEqD/YHhc N7cWDe3K5/Vv78L4kzp2JliLptc/rlUrbkZJeoeiXasWUxqvhumHyVH37uBu Ux4H7WRXSPNEPLRjJ9VrczkoQQcH9vNeoG7zvu3F5iDdPrfTsITwSb2fqhqK Oej+Yvuxo4SOZ+dszn4fzUGq7TS7hxYJoEuaO/yQwKrL3TbV63Wh/8Kl9a/C OUgubTpu8LEO2cbzT+8/zUGLp5JZ9mYtGGa29rrOPg6yfuRYnmNK0K6U+ydi KQfD/pbMPlpYDZxxdpTexRxkVlyw4F7sA83CxCaR+lf0DP3T3XJICvQniyjP 1L4iTX1Bm5E1H1h+jrtDt9cguSMZ9joq0ZQa5V+pVYMBsfm393kTPL1xLrc5 oBp99B/ttFnejpx+FcqhR1XIGXEbTxnTg/Q5ZPKZRVXY7z+28Gk4F+nd5e5W wZXoVbp18EM54ctmB3x/tL0SYy+Zti8bR/Bni6bGCKsCk4zamtfYSpCj8i+Y 3lCODIufyHlZB9Rp7731Z5YjebkZyyCuCXwCWg2W/WZjvNWKbTp7eEg/QmP6 ydlI23HmW2oAoWOPbInofMzGgO1z3nasVgDHYMn54pNfkLRAeUZRfhP6+SWe aFyGFqwMn9rCPojXeLco9E4pGrkeGLDxawTWQusKxY0SdHtqcGxLHuFfb9Tp kScWY4pfXv8pPxGQvCZljhtTjMzn3rWJsYXQH/j43I34Igxam/RfzM8OYM48 mZd5tQhtNmub5jkLkD/eNPsqtQhZNQ2uJfoC0MxYVlDPK0Q/x9jbcKgLfI7X fLjvWYiU4DuKdYsI/pO+3FR6pBBpySu0op0IXhfGo9F4FlLH2vnE+rQDJbXv 528NRM4k+b81vCrgD+9RzMECbJt6vsMumNCzArl+xIYCHNqfETc/VYDULFu/ 7f2fMXbf2NcFzB6CB1t2xV7JR7vG3wbB67qBYrPP5fK/PEy08Hmk8qobSWu0 yseO5KHXHUdOuUCIfLUFY1rN85A5aanr+VMiYB39dHd6WS42HTjg9E+Vi4z8 7wdfrcpFH9rrcr/TTYQutOrzm5uLpD4z/Wu+UUBKW/Ig7mk20oJf2pFqCP+3 sP/N8OJP6L/Du/QAEP17JGdP+vxPSLKJ8FlxtROoz+IirSifkP55q3+xGeFf 2TOpPI0sjK8Mlp9fSPBxY2jwaEQmklgKX4dxVkCqecnD2RnYllPjdfNUD1De Vs9KExK8NhqxMSWSB6zxqxKtJqcjS5V1+cTCbuC7dYVY3vtI6I4Ha874dSHl /JPDNiNpaHrFt7XBogQZyd4/C7PS0Ku7Xn1xYx/yw6tt7V8z0e3XXLe9+wVA YbROb/Bkou7jD5pFs7uAumTlgl27XiMpap5VI15H0kOubYBmAjKONkyNmhlN 7Af73PEXLzFS+N/cnKheIN3ZvHXvlpfY/77msMj1CzC2/jhetvElSq5oHs14 3IOsrSvRySke470+jJ881AwMh51D7nfiMKajt1vWS/TF7rnze588RnJMdHVY fi2SaJWnlguicOhE8AGb7wok+ZXJ9oZGoeEOzaNHirqB9Py2t3JmOJreDJrr 8rkYGD8cbwaqhKO+wHso9AbhSy73VQQ5P8SkMZ9MEs4R/W848KM5MwT9Aw+9 zFFVIkkluEOddxepF7a7SB4XA8lz15HFy29i/LroMf1j65EUVuvn3OGHVdO+ rdi/SgCkyAptUp4n5s96N8C2I967+taJAXZe4B+WPO8k4d9I/hfYGj+9wcK+ tGPCWkJHb7pUrH2AAfSRW/sXJ39GkmuIT0XybdAdc99w6a06IHmPLgqJvAcD p4p+f9EkfMemNR/in0VC2IKsXyP72Mh4dsvqfWEUhNlyFFs76pFR8CgQ5r2A xEVnAw/OFgPp7+jntI8vgPTZXLv5VyIy5tec9T3wEqibbmjMluUgaWNI7ZPN ieDTc1UcvIDY3wxl/6rKROCce5dhFM0GhnLK0dq210DftvTvZWcOMsxShfOE yaAZyz7+IFmJjItZ6hNXvQfV3UXrG+bxgQoVWV3xHyAl2uDDk2ExMOzmzkyO YgJpfF5b/YlG4HNWLip2TQf669DbdlZNSCkMnPeoNh3iw0/Ji0uJvsT3timt Sweq0slblejn/KHqOZVZGWA86V3ygK0ESI556s4PMkESt+ZdEDRCPGupmsen TAiTt1xf4CUEkr17HO9oFhg6zW5Wc5MjnTq9XNU9B+g6DWx1lVKgLhx/znhc HjDCdDv2BJdhfH1pYPlAPtjhOG2TWwR/Jp3yuHuhAGLMblD6H4qRrhNqdbW0 gPiu90vUs18gf/TWhrEaCE4qqtP1Eon3wzzoGX+QBaauF/YupH8F0n7HLctU CiGpVmV/CJvwO0MODQbRhUBelMP5rtUMzAP95ygjhC+pVFV+caoDipmGQfKB Egi7+e0/+yLC9+w5GOiRVgKSOQ/0n4YogLQlytxpXBn0L83vXX6OjZqnTH37 x5eB8EXvtFcjcvRxGDwinF0GGcc5cbbrRMDXyw2dvKEM6IbbzvYntyLjW5qv ragMnFqygy4Ii4BkV4ttf8qA2hMQleKXCT7mf3hvln4B2vMZzBtjiX5NmvRt zJYvUOUtudOYKcP+qJVbu159AdPhlR/ex1Qg4+zEhYvmsmHYtOpc0XMZ+FBe BTsSPptCv5mseUQB/REPay5nsoFsE7U55a0MOGn3p0w+VA5U3kmbOQOZoHnK pC6jsxzo62/6he/moVPiPM0xqhVQMjxx3PNdMmQtKr3rCxVgma+24mwdn4iL nudXWQEUNvmYuLYNOJL6yMr2CnDLuS+sXiRBH4+7/2JdKkG4sH/zjZMydJpx fmiXbyWQNHXDl+88Cz4bD4/2ZVeCX9vJCTVnleCjbVyxQFEJ/M0d+0t/IPq8 2+B5a4DALludU3/WA2Ui/URXVhUMCYpji5PkwEq4lpiaVwVhiwa+U8L5qBla oWO3sRqCjJVekmlK1NyePEuwsxrCrixolyXVAcPn5NRCl2pg1bwZN+JcBT4z XfROX68G6v0V03JKC5C1ZEiyfrAa7GQHZwTsI3T7uw0PTrnUAEtKu3/Svxmd SlWoJyJrYPjxfmvDLxKknF1mnpFUA+b7Wihd9b1gGqw69COlBuy+T466NasN +xV16xqqa4CUFXKKb5iBjGZFbqbjVwg7Nff9GwMxaEoka90ivgJlafzAABYC yaN9odafr+CzC+iVntVo5BGumzeNAzoayn+Mil6I/zN77+RZHMioMY3+2iGH MGtbQYwZByTUfPeTJ9uQnJLtsc+WA55vO6LGWAmw/wf96AZ3DjCpao2uZuWY 9Fcreq4HB4y6jQIGquUEH53a/+A0BxhLnQdPPecAmaaX3XadA+6X921upPaA Z7sbiSHgQMztBKV8H+GzmxWbZ33ngOpp3mbXsVKgWDHdMpi1wIhn/pAeJfZv ZdBrh7xa0F29/LGFRReyirxveDbWArW9Wl9+phjCnr+mOzYR448HLzwzawGW Xf+8v+p1YDMlU9xu341D81NWT5hZB0HJnZ1xKXwgF7KGmLPqgGX11JJh3gVD E8xHbQPrwMJgU2rca0LP71n5YhiJcz1jymitInSAd4rRNO16SNSIzN3+Wwr8 cY2Hw+n1EBZyuu7hQBU01d3hvbtRD3yx82lbkQIoQpOm9IR6YHhlagZ+6ka+ yxad5vZ6oCe+27kjLg/YIV8n7ZUQ8Wsqfihn8YBxP/K5LJcLzGDbGtchKZju +S4skXOBVLZy5sGeBqLek/MZP7jAPqQ77UhSE1BfxY2cXc0DttWC1ccseEi5 rrkqwZ4HFBEp9hFWAUdjgnC2Jw9MvR5PHtWS49DA9Bey0zzIHlYs5kMXemo4 3c1+wQOnLytwal4fNMVwg1al86CqxsOU8VqC9AWKdfkrGyDeclPUb7V61Dwd N/mSZQPwL+z6vcq6BDmbUx9lbWsA9VeTdMZViTAbmba7XBogpGU0vGuTGOi7 z/3UudUApP4JnYvnfwH+fJs5g5qN4FkTo677ggOkT9lGhymNQFpP15l1PASc kqVT/vyf11tVi/JV5BDkbV3z0KMROAs3X9Oz7EXdvY4BKV6NUPLot8qsGsIf WBWY6WY0AvX65xUmVwsxbNeESRN6G6F/9cyBgbONQG9dYWKjJOr7NBh1BNAw TPFv8e4/jdB0w97M6VAvGKlWXl1k3ASxg1MUMZNFSNapCPq3qQkCYxMOpBr2 QNPPg5F7XZuA8mp5o0pKGfK3HiSR2U3gmXSy94u4Hvx/fv58ek8zULnCdAvT T8BgOa2xu9sMXmrJwvT7fUib6lr892MzGM0MdtVz7EGqOPTXn+kt0H9+wFln gI+0CJ3gw0YtQE0L857XnA6M/oUpHxa3gDo4fX6jJ0aOc/i490sIPPv1252f +9C/yYmnvasF2IHu5yUGCoipXnJ/hWsL8NW0D5m0K5By6Mo3nctEvfvMiR3n e0Bipr/RO7IFfO6ferY74yuy6iMmLsxqAfMZx88/n8fHpglYy2sg3skW21Hf 24Sv9RIaWPxoAc/utIEvnnx0Wk1+2UhqBR/Xj+sTyMVotHVpoe+GVgihfpmf vVKJQ9ZTii0PtQLjypOzD0oKgf2PazT+cCuwPvwa4ZkT5x99Mq/gDJG/7Mzr zz+bgT1j1ZWGkFYwGnPR/cqLXow3ywj0TmsFTWF6CD7uhaSShNBUZSs0Pdq9 9mZnL/A3ziq6vK4NSF26UZxRCVKvdpaa728DviDlvsr2KtD8rP5n16E2Yh7H rhcJSogX0e/cP98GRvrj9ixd0IfxfreScqLbIGhnccqV2GZknJekU1+2gd2E /cd/atdiWPH49PnJbaDpNjFgYE810o4+LDb71gbxU08v3z65BGiB1elKejs0 OVmOHSvkAenVvafPCB9C+rDq2FqnCIj5Nj76VUk7sBakWe5blIP0CnZ4Ebsd VN1Wcr/s56Pknp9B1NgOoD2cXp06rRPZVQFrzBZ0AOX87EsXT34ByXctj97N HUC9+DSKszoNOEmcRfp7OsB9bVwfZ3YPZnPy6GcJTAkaWVQ98AXIS7kN5sUd kJ+zsibCpBtN75kc9fzXAQP/5CYdJXwkRwTNky7uBLfDvaaXtbuAfjjMPuNm J5g2n52nFUC8e32P9TPzO4E0N5VBl7KBlv1goYukE+iHHj+Kdq7BNqPmU3/0 +cCPGYsFfiL058TGtK7iQ9M4r9BiYT2Q9+utjrXig+T9sM69OZ0Y+EK95jrh m0ueBz20espH98OhZo+P8oG5YznF4RwXmyq0Bd53+eBzMGrGB90esPEId7xE YHNSrNOBGAUGzRRVJ4bwgbL1fohqVS1E+vr2DEXwoWpr0MWd57uBfnepfWwc HzzNvo1cfKoAdmYsWS2VD+59jRa/bknA9ITfmZu5RH3uY/nczGbUXPFHtrWN D1wXpzj7JV1I1l0343Ansf513xzufOjBDKa6w5tffNC9pjKtZizxfk6F6FWS u8Cd9Y/dqimHEI/Jy/9u6ALVnUENe6q6Qd4xec093y4oib5sHMQj+Mf14ZPH tV3QZLZVmGHSiAHTa+u+NnZB/rj38P2sHGPuaZRrNXWBU4zBPds/fRj7smfi z+Yu4vw8jt5L7wEX2+ZzLbIuYIinLz8yJQwYNzqGdyi7IOkS6Eby6kDzRNCT UY1u0JVsfBIzJIIBMxPrtZRuSHKjCef/7YP+POb6trXdEOvTmJ7oJgXSws1C A6du8LFc4dejKUavGz+O7KER+c86ft31bkXD474T1M90g+WxPTel63rBPG+q TumtbrDjwZQSwv+7xOwu/xvfDe77a77nnO1FuxOO/8pSiPmSQk+GjZWiKf9A z9bsbmAuU0lztK3HqqM3V7tXd4O/7GK033ERGB4fdV7B6Ya2sr8qb14oMJY7 osbt6IaQhG82wrIeIIcND9jPFABr3ON9XJ0K0FGIU97sInAI/2twaQJyJg5U t7gIIObDmenHFYS/OcezuUcTQNIOA9tc9V6wcBL8F3OK8FXqM7te2ciBate+ 2v4ckb91SvCcABaGHa67HfJIAPSrxi9n7yuAtqjPjgvKBGAxt3HGxU88NOSb xdq3CsCoXO40UVQPJdV8ka9UAELVNu8vg30w7BQeNneQ8OWftserLib0rdmM 3ESSENjvu1VoPVKwe7KrxJMsBJZ/bdqxuBaw+y28Q9MSQtPsZa5JK/tQ3d9x 2zfCd+hkX4h5IRODxbR05Z1zQmBUhnle8ChEyfASZ6dXQqC7DHZwJ9VCdmR6 /shrIfS/c/nNLOOh5t8qJqQSuP7cm4Vza8HFfdG56+lEvHF2wLajIrCpzX9/ Mk8I/tfvScKEHJTkGcfGFgtBOKCtNpioBMOzwyq+FUR88cKgr7ZpaJn+r/1f nRBijFc6jlfvAH/j9fbBw0KgSl8+DjuXiPRcXV78AhG0kfnNZpt6Meibc4bH ChHQjcxXnHYmvmvs4A04LQLmdLMNNffFYNiluSf2jAio4f8GyCFscBcaRRb4 iCBSwzM3NFsBxpnfz3iGiSDIfrEpfzcXKdV+zwafi8AxZmrotq1iiETPB6tz RMAaHMgpuZEMPnefhSvGioFf9/epvq4SqA3flXO1xeB10X/py6E+GEjY/Z/r NDFwDldGoqsEHUW+D04TOtY0oartukMRevUKDvlRxUAt3Ha5szsZ/Th04xmX xRB42rJDO14ALieuzGA+EEP/NJWf/R61wCzVbBxKFkNMF5m79H0vmtMaRt1S xUBZ9mf9aGk++tVMb3GuEANr99Q5j0II3f5mZZOMKwbH1gBu6wkJ2Ji82LNr Qg8E8c4vfxzRCqpnmu8u0+iBWGnq3pyvhN+4SSI5avbAgPbdVYdjuyA+IXey MaFrg77sksqzuoF9q+iDrm0PCDMbj78x7UXV5hDSnrsED0aceDSVTvDYZf/r Bs96gNPdZnzcuQ8cZZ8cKhJ6IP6ZA3e6qBToc5qnpX3qAaexaULTT+Xo5jw+ 9WF5D9BPJHgMNbQhrf7VlPPzJUDvUNe56Z+D8pf22QprCSSZdizxG5RA1bgY n5luEqA6fC9dMVqGjvuCu4euSYDZ26+3sYzQFxlbLlk8k0B/CDlk03jCJ/0Y mmvyUQL+8kaq5dx2SDRiXanLk0D86pbp5daVoFrwqsBUXQqaHZ8a+ndwCP4t PjFmmhSG3rjUzTjUCT5RGwwLt0uhaqOWy7WrfKSYqX1zc5KC3+UK3XBzBWaX mdz/74YUbLbwMoxvC9FCxfW3xVMpxMh3HtJdVgc6HiozXBOk4AkpsWJaN5LG 74hKTiV4LvxUialrL6RkLVn6RyYF1trxs0SCBDQHxyk/fkohsd7AMnKjFHRU aU86N8nA/ey3d/m35ZA/ciY96rIMYiZfzrgfWY8x4+Zv0XgsA0aA2rLWs2FA 1dKirUuQAX1Dfqi9ezbGlueOU0+UAUsY53fySAM0Ndg/ViTJIOwFZdB7nByq Ek5Uh2TLIODbxhm+17tAOMjeh02ED85OZnvYtGIi75G1xrhecOw5/EhSIwU5 ZVnvTa1eIG2Vj+Vmv4Oqk6dtcsMIn3WL++fJIBuH/SZdHSV8l+b7ZcbWvztB s8zTlvanF7LvnMSsg50w1FL1bh5ZDonhi0vXnlEieUXVubuz5NBf6D1/6toa 8NfTn+xqKAenJxPmekVVYcx9/lmfZcR3F/LTVJ6J0eWy5WTqPgK35M8O/KtA 80/HduyUycFYu4C3740EuGIdofNvwue6GU6/sa4OhXfu04fUCB9QVbllzptO QueGH5im0QekIn7e4ZOVGDs+Im7r0j6wnPJEqr1Mihmbtxj3XOwDqsm7lbfe l+HQyZu0U9f7gDLq+Xm9tBsYQZvujgT1AfO7jFXjWgr8qOArKneJ+JiRRYH2 pWDUGdnzOrQPItUqgjo8etDIepgxK4IYH9PN0tWTwJDx2to7SOT/MPc54SkC Y529HzMq+oBj8uHNu5cV6HOIGTle1gcpxiJVnYUSFG6X/1Tt7wNySFLRiYMC cFcy95WfUECSiUvYkuB64CaROPlXFET/iwnPl7cD59KnZmmcAqjINL3gosTY yt3ePzIUYPF22k641gP6RQM+uV2Ejyvl8HaX81CoDquyhAogHbpTz7kUhbT3 cu1rQwoQBv8NMrjdhUGWq3gO6koYuo/v20Q9SNtR7+2oqQSLV7/0BQoZMma/ LVDOVAL3mG7Nmy4xVn2z2PtgthJIXqZn/qnVg6Nyv/rwGgLnRY6xyiTOw1vP be82JfSnlfnkzWzFfKdXxys9laD7X9q42M8iZA83X4m/qQRJQV5ofJsMdChr bmVFKSEwxPrSzFYpBCSxCi88VYLl1cobYVY96D+4be8csRL45q7RgRvZGOZR G31ghJgvaHG/zvQU/B+ryKiW "]]}}, { RGBColor[0.38822480000000004`, 0.674195, 0.6035436], { BezierCurveBox[CompressedData[" 1:eJwVl3c81e8bxo1SKJUUhUIoIipE0S0iSlLKF5VRVmUTkow0hSQjhVQyIsmI iNve8xzj2GdwOI5xbJXq5/fP8/nj+efzeq77uq/3JX7N5YItBxsbm8Pq8f/v dbXJHUtrU6FsTpHN5M8M3Lb5N5avzgTlx6foKRPDYGa1vn7+aT+wSr4tu12d AHGZfsi+04VfGtlf1D9ZAKkHjd0l30aga8PvuwvVo8B1pWFN1q9qKBAnjhlE sCAx5V6C2Hky5BPnpyz7x8EpPqBQ9tw8DN5pfPjjQQ/ITH13YJvqBa7QH6cz VCZA6US/G0cRA66VP7fSExyBvkrxUZHoeHAY5fpFyJkB0R1LX2QqZuBHhWFO d9IgqMzs71SoZ0Ir/5WKiHIaHFlDCwm8Q4VHuhs8soUYEMVzSOi7SxMUBZsa zzyfhmbTUyUy5Qww30C7MVE+DJ79XfEC67vBN/K5QPvPCVjXoHsxP38GPDdw 6+lrD8Jmho+aefUcmHgbECYv98C1sydU5V6o4d9fbu8j3s7Ac+ckvx1eC+BK oxJPdHeA5fa+X/ioGjNfKYj5b5+DitsXJM1MKtHCj5X2tGUWpE3arnSaD0PP iaaQhA2jMOcZ//12KQMyLrhv7+6kgetevWv/KdSDY8xsnPbSFPx65LudkU4A IUmmqOyuSXjxb7r44XAKCh2K5PN4OQPxJJn1wqGhwFVFfSv2lwWTU4uWR/6k o1+VfI3oixnoykuQrnbqQOeTpxNTueZBtE9z3ZwxESZM2DfA4wkQmtJWub+j EgucapzvOc/CBhVtl+1b+yF/g8Fdp78MaLBd+o9s1gSXSx5mWc9MQs37jc++ qCAk7X6kLPduGvIk6TcMlVuhfcT/3UnzSShT6XKsPjMOIgOpdb4RVAh15Cn2 TOzEVzwC/bG/5oBT0fMYp84sGCW2Dugr98CLUIev3DLfMOVK0/7WiBnY/En2 HvfKDDgIHl+7rNUD44Mv3NIZPdjL6fnmqMk8uFhuX/LZ1oES8eJdeYZzoDLv t3PfKQo4cYlo0Yh0eCpdcaD0BxFnXcIiko7PQXxY4s7+2S4IzzUs3LV2HFLd jD+6F/yAf4++lm50n4K6bD6f1++IINpP/mzdPQ5BS9z8K+0/ULb9W6LyyRn4 z++1k/a3frB/mcNP3jwGKXllVKGENphPtDQOeMAElzMXT38u7kG7h6onD9XO QTrhZPvXbCqYEXS85TRGIFzJ0by99Acc49t/r2V6EjyoJ+sO8b8EG3rIPY3X 01BOa127mNKJFjZsTZz8c1BZXs88WlgD/TmUkCu+E5BWZHrshPIs9G62zkep TgiKqRI7QBoDtitG2i+lKMAjfbtQ35UOH1a+NVSfoMKzFiy7SpwFns46ZkAy Afg+yYUJ63+Bc1crD0YPTcIbzvQ+6VU9zO3HT9hHzQJRu+f3N4N2uOWlxl3C YMClrYmifmdbgVvGIlDj8jiERfAWUOsZcKEkW9TyxRCEPnv2IsR7AAItTe5l 7qbDhm1Cbl+me1D9b2x/0J9ZWPAxWooynoLIh24Eb4ceyFdyzubeS8KLPZF2 Ts9ngVP2vL4Azwx8S8kvO/G9AySXSOS4EyxYtOCXawnogohjx8ZC24owQrt4 Qj90GootnAotLtLhs6BRAv0dGWSrrrXs0m+GlqePDqnxMsDIKVjs1XI7qlxh m/h7cAYU48LnRbrIIMdbn/Lahgam/A1e2SY9kLnYVGJTMwKaBWI2rzb3YXWd c94/l1kIrTRJ0rXJBZ+yg9cJ8UzIkeQp0CmfgqbqpRLZQ12gtbAzwDdyDpIG npczPtVBT5FID7ODAZ6GouW3g/vAtS26Sod7BOK15VVd3clwQDaWTV56GGRf MAisKTKocYipdLP3g8ML1Zv73IZBiNC8Q/a/fhDxn79qLz8Mrfp5Guvz6VDk eZFb1GQQBF8LGn+yY4Eis/B8TwoBfqxcvm0WOgHzZq6sQNduiLjMayL5oAHq dlsPKl0Yg+amuYsHYgYh0v55L58hDdSP2++yUkyC8w5ZEw0nmBBhm7bvaRkR Uj0J6hK/R4B5sC1AWGMIVcnM2M3nZ+Hk4fSm5s5K/FsQYxNnNwWutR98bzt0 wQ32WoHW8GEwN43Pm/6w+u464qTTNyhgquOmdd02FWT6TJ9Ky47DjyeRsu7D OXDomLOW+TEGbLgz8aC7tBv0BKTt+JNosEZliBV0fRIK1x8refubABvtMuUe LbEgSXF0SfVGI5zcdEs62roH+6famfx5LGjjbzv7/t4MVA2c2RbuUQsboxcH Nl6vw6PjXtnxEZOw83Du2WqNGWBz5MkDjTrA5yR9V6EJIGiEOLX4EEE3SGqg L6wPdDZav9RZoUAJ5cvuCJNOPNmpsWJHmIaytlmqeNIYmGwy0hXt7gKJqxou XMH5UGW3yTuAfQy2uvb+vXJsBvYd1fk+ElYD0gZ3Pe292lD3Mw/tpN4UvD42 KPnsSx6ouQZVNQ2PwlNl4yVRnUG85obx8lwzcOzKqnvjp8Cz6p4q179muGXw bu8tPhaQDV38HP9rgD1f/Sy+35+B7Ia16W2JlaC3PmnT9ZdlUNn0ImDuKx3k 7/FZBwZTgVroZoxF/WDj2bkVH0+D+mlB14x9jaBKE5EUu9MKvCyeDeYuq/qo bHG4t40CRuyEb7fmB8Cu+NCl/VPFQLn5zDCsmg4Ocf05bpqTIOb899xXkVbI 2su9ne/sIPj3yM3ENwxB11HeiqiqfNA+Lv5FgEoHs+akK9v0mbCo1Do3M9wG Cym7spOgH98FxEtyyLNAknc/X7tgL3jQNWxiV/1YfTNgK9+zPkwQuJc/u5EF qUkflLyr6MDWTonwmuuEofMTRXWkWcjmkXod2Z8DXIW69H72ISxsSlTY8YAF Sywyim5ave+/1C+Y+x1E1gZs3fK5C2SMm+oTvCmQIX5Yw3puBAgmWps87nbB w+UVr/lDjbi4729ITAITLm9Uj7mw/zPQ2kNI3E/psDlm89sW8Q7YK64pOh9G AdrtM5IlsmkguN0+YpMRHTRVreT+r4PGe1P5hDM0aKy+MnkkmYwnFxjRkpdY UGZ0w8pdgQmK6fXexgeb4ZdWyq/3dwZBblP3SKlYP+QJPP7mc7oJHfQvF/lP jYNv3nHXSEotmFq+04y7QoMkp9FjKrPFSDbl9NvYuJoXUrGpxFQmhB7vL/nW 3wBL9SNuPHar+8HiyE/Czk6gx8QELOmS8LgzQWL63Go+BMt1lT8jghFx7Gxm OBmiPz+py/jXgIqPtt79tsKA4g1xthWcJDyqaeJ0bXgCSAIjR+13TwLJWfmD /LEqcBfdMoUdRBhXP7y7fBcZEg6f0jqzbRjqNM8HR7l1wAyynen3rsJY7syA MYsxoAz06l5z7cCnX1/ysv6Ng76gzAO3cSpkvPdy/z1IBCF/sS0sqUF0PuZg dDVwEkyMJpqz75BBdUihMcqpCyKlzdaMsGpBRY8lJilLgQS1no68Aipu14d/ SstTEFctPBXFmoL5Y+N/VUaz4XO6ubdA4igcz5RfbDhdD6OCEo0QQEAOn50i 1uoMWJ/Zu8ba9xp0dW2vqe6iAf2gcIH+KgfG3/xpV+baAqbH35EeRObBswXz hwlqVPAx9v6YONkJ3k7y8f2vemHOPmxNWMAkbCiXuLnSmQsRnOIbzsh/g9Pl WXSnMgr4H63lWOtJxEz1v+zna8ZAO0Ao55r7DOhFMdfy1H/Ass2X/UoKutFM c/EKMYyx+p9XVw7rR2Bd750PiktUkPD1i4/hJ2ESbd7i02sG5J2nf5zYX48X GmzY7A/QYcuXv3cjSA14Rfae1yUrOnyVkVcXSp+EfVWBLvfJH8GJkXBquDoW PD0/8PpzrXICzaupc+MUpIUczx//kQTSr6MZVtdYIFYvylh74QWeurGuaM6r AIt3Nzwa2TwMO+frl+W6V/eJTAUbNTwVTaUiaPM0CjzInSk0MmgB7hHVvL1O BCS8OlS1ef0oxEr0MS+9yMTHe+bDlla5xOTx+KM+xjts0YryLOOngiVDikOQ MYCvMt91Kk4wIFDGipPddQLampXWSku8BrVd9yd0PkSA6ZpMLoVxMrgJUf/7 72c5Zp4JN02ypcFaUUhI0CKDTevZNx3JzbDrgeDwREcpPIltpm5aNwAeCaes 971hgtGPXWGa3C/Bx3ygWGwLFe2uyr+L7RqHZ3Ey17TUG9FZvHgr9cgwrP0a 4OQXTMTqZ6dtDatGoLg3ue2oYyRqU2ym57zIkBz7i+PJh9W5+Ba00r6rEjxs lUsDpRhQuIlHO+1QOuwkn/g2ljwB2QKZpjc3RuHHE9uvb+4sh6BKrweOB3ph yWDucrM2CUnnWcl9H+hw9a5+uM56KlYQs09aTDOA/r6ax1Z5HNg2T8pPNgvC dtnuCI2AKYhv6Brl2JeHJraLH43qxsBoqiO21yRyVTel/FdMMoS7lvRJJVXC zq63z7LpjWg+UPolaJV/Zcu+1Mh3kbGsOaaesH8M/hMPPNhsOAlkY18zhX95 WO+889JU4Tgoyp4IyXr1AefnrDL4yhigyDePxsde4ferf6B+tQ9lK/sXyr2P w9zcmZzEqQEcJhB9H3rTwdPA4nZfdDIaLP8115nrB8viPVtE31JwYndxcmLz KFjpaEeSBigQ3/9Z+AVvEeyVm/FtGWPCSrxCglBlHj5O4Ej4dT4X7U0iDfa8 GwDiJRm7DHEWHB+bXrZfX42k6ZC1Uo8b8ewmiZapRDJ4Gw0z20Py4YkJ8dNK eydUmt3xGA00x+BnWzwICyTICanUGUsfhexWg71DGR/Q9u0Ok1z9erzeSUo6 /WoIakvKnX34KuCm8ifOLm4imN2QOmbFRcNe4zGJHU/ocMjQ32bp6SR8Uin8 zsVdgw+2fU8P/zQJEQlZavxGtahy9VD10+9t4FAee/RgfD0o7qmIiVAuw6O8 WVxvRnrhgZRac2JiOSZW/jxlp9wHJdwNVs4CdKxZ8cwfqB+F/8qL8+sWulDP 4fxMewgFgs4zFWTTPkNo10CHWwQRCqra1MFxBDb3rZ96QEzH6OGE/aocBCij FRL/sarhxzpTlowVDZ9WKH+MKB8BUZqhfsR7Kn5Y69l0TX0EMu7dyn88SYf7 5DPqXnpFuDQSb3qUmwpCyzqeXvficGjrwhsXWwJ2i3Uz6B0DIM1duvA5loJq 4Yd9ZuJo8I8RydYQ2QJaLxqysjdUQZ7Vf54EYg9+q5v+4zREhhYfiZFctmE8 zqHApdw3DD85XqZp6zBhocBP3E+0Ae8d++3n30XDRsmurVxxw3D9BWfN1AoZ rYTZZXrIVBDY/3Q4hD6AH18++Xg0nQJJB75HmUoNgia/yfl3u+zRSHe39NO7 NOz3eXI3sY8GGw/0n3O+MLXqp0clGk3t2Lz1wUyqfhVSuU6kf+XuhqnZTYxE Dzpaur0yyTMfgS0BEvC3iA63ch7NhyRXIY1v55ktPGUgq5Fk6xJdBcFxmxv4 nTJAdfsKR861enARic0TmB8Cm4pT73w7s7GVZmX+bCUaLno7b1N3XeVcOYLe gMYA8n1WkCcVDEJl38JR3k9jKBUhUOm3dwR4sz6xKqNIePqGIo+DWx/0zZ4Y E1ndh8Mdt3Kf7i5DX7vR7MHeApis40iv7ysD0oeLESvSRIzdkB4+OdAFgcFj V10lqJjhtfvxa24yRHyM15dTz8H4wpdCzzsaoHLgzrr4qAa8XkJsNLpAABUn 07SA011YFhboHne2G2bDdm+zUh3EvZszLOuIfZBNrbj9czVHryxuzg/g6USt Ozpvnl9nwunojdLjRZ0Ys+aNB9uWUdwaPS+le5gK19IP18zYMWFLFlkxnNmJ hhfOXy107IdOTmHFzgfFONQdTV2gj6LfphsfPAOocGqrL+2EYCvGiSYeWZQm gNfZC8qpu+moLDdu830XBU4e9LU+25EOHxvMahQji0Cl2FJWZM8ACHw/pXl9 phyT5l7/KSuhIuXSq3uPTg8AvbXNWGaZiCfVS7f7tRFAl9hwVEGBgbrnF54q 7KeCwv2xBDe3Ijwo62vqOFINV5p7twucboGkyKZN+14m4Hfx19EXdgwiaX2E 7ZmNJJDkzOleN/UWstvUU32Y+VDEd2OpR7gPNowVa65zrMD3JmTpoQwGOCTL K95x7sYe9WcCFfvGsWg5Yc9BJSpoOztLcJ4g4IV1drYGd9ug6/lx0eXOZsxh T/2ivrYZ6v/ZsKm5lUGhH4l63PcxuCR8pBc4j0G7zsiQEL0LTVfqyUlvyShm Vjtb+aIbuA7PE3/96YakBH0eDqFKFGLaGCnwk4GDcQCnDjSjRu3OvRJK79DI 9HSfWX4eqO8XiDWyGcD8d2ku/hkd4DTzKuaWbz++l71vXllDhLvOkzvJXAOo VyNtvZBIhJfMEtHCZnfwM97dtPthEkh472S7XzuGVDX+2xHxg8BopW0nHGGC wdeI92MuA7hY9mQ86zwVje9jkIBVFyhzK8z+VBpAJ0fbFkt+AjSfub/WjRPh qCND5LpUBhp7iZRf/DoA595sbbQRbcOcIY67EUKj+PzGAweP9D5oOMEy3ms6 hMXz0dbVvESQNfzgZnevGsL8xAoThPLxT8ZpE6MvNDSsOMnd+rEbhMNCpT7G 92BW280qzekWiHi3MMtk1GHbo5qYE+9LQb1ZK1WvvhePkMcbpjJboZrQejpW OQeM1OM5HuSu5oxwKPtJngEM2an1W6iuDfqUF4RMhAnYEBsYpTxdBT9idpv9 suxBk7Oh94/NNEHXDhEDs5o+dK+VnLHybYF1TSdIB5fzgPPclgl2/S/IvERL Wf+OjA9k804bqRHAm8EV9nx3Bkoblu/t3xUELrRyj5nv/dD6QfGFxW4CJga4 bLEwpmBbEYoLXCTAC8GK2SP/jaIMfX3qmgASsBs5nBDEDmDZjBz9S2tCxvsQ +fjaUTRk3Gx36SSB681xf42uMSy7ndp5lbMX6P6O47YvaJDzXelqS1AP5q9M mMm7doBDTNjO6PBmPGvPY7t8aAzrLixanFwkweSEwMhAOBX/cBvdfyRDgOHS me3fkABPqOx/mM+bMFdof91ONzrIpby8dA8HMMkrQYX7wiC84uMh7mvoRDYX Pcth5V4c5UwwMEmvAmxn/F7TQ4Nr57+JL5T3oVUKzXuFj47nfobF/AjoAFvx yFE9Jh1WfkhVeXcNIcXsbcG9slGQs+ZVinQgowzJUE82mIntKocWxNV6gTcy 6uTFj4Po3rkrTXaxFhhe5L1VbnR8n3+t1KScCPy0ZrF7t2kwod55h311r55z jXGvnKMC+5xcenRhP3b9nJ//ONoHv+wTHsabdGMBt+Ldzd4D2PFLPfKVVyVI cb23FeOrAR1LNgXXT43YmK7x4O0GOmy7KDV+4T4Zm+P+zdZ8SQJucdPtzORy dJ4eUy4g0qEvjdFzQ4GCSwWChwtaOzCwJeTWFcoXmJsUU998lQz7f7rLCezs Q6KWcuwhvlKg1P/b/eZwPV6uvdyvv78D7gzZ5JV5dqB+pnY8595W4JDzKo5W J+AzB2LJTpkxEFauW3H4SEXpmQe6ppp9wHvVa9nQuwfNbD0ve2cwULrn4NX9 NkR4WvvyhG0qHd06q85Lx7XCG4Uv+QdbyCBtWy10kG0Qz+gJEficu+GiZR+f wCMScqDjnaCWViCPhtzYZrTak8wNFh4u0OCu+RZR030UHHTSL48OaMeyalXV N6JRKHDx47RJ7ii6JHU3ssW0golBzKfJVb+f9jxIz7WugIUSrVdbnRB3+p33 exhQiu0bb6faECaReCFbOvd4F9R5V1gHrqXBDZJAaoAIBfOryC7JNsWo6PRq g/3ecnRnFwpr39WPJGp51ofLmbCBIvbW4E8fdvDmRL5emwHsX7oj7/aucsWg uWqp7SA++r3Yw9WbCT+3rJwZf9eCpuQ9TRJPBuGjnHrdi5AhbPx25kzf5j4c Oxj4aJNNDMw6hUr9xyRhIOtlj3eoCar9MsNTtfXgpftTVsGpC0tDTrUb/FcN PqmGCdnnO5F9ucJPv2cIm8KtBw4apMPB+CumHD/aYIN+kfM3Bgn9JCQ7FidK YPfQ47WEfCIulDBvPYssAdnkmivFPh3olWefZvdmCkMLTXvCV3nQPUv7Vm/K KERU7Xobe5SOQZQjMJs5iXSbbvW8je3g5y+RdbmdBHt1DUuHy4aQP+Lmph6p UeT1mHAUMawAkXk99sZzFNwwnZ+ScSYJNkR+fqhwlAAnd3KOWbD6sThIzIJT cwS6BFueZgWOIF/wwfXkKCqELIlkfeEaRrsiqR8P7SmYfWtF76L3M6DOh0sd 7O/FZBffbbsKslCgNEw/z4SMQt8s3hWUR+Dpn8E5xi4TqJEVESXyox5eseuv T7w9Al+cg9VIq767vYv90B+FSVR343i8XaYR+g6UtgV707FCeH6D18kCmNui PdseS4LLehv4inQp2Hhp86Qidz2uQbupXvcGHNZVchT9/AJXTs6/2dpLxNfW Jbm3xoeQlDlyWpvnHSZf9lef/paOZesfvo7OJ+A+EwF1cVoBpid+36Wj0Y63 Ir8RHs+R0dTnz4BfYRR+pfs/2UGlwMYXO6xYXcNovGzBe8mpCUmsIlazVAPK KvyQoZoRgfqwf/CaHRkTbQQNxa9O4PLwe4/WfTUgvfcx6esmAt7cohw0+7AG l39uIw/6lKPS6/Ifbz62YZdOX533RQoMSR76evbnMD4fqDjw1/8NHnCQqJjd 1IlV/xbTDKAWluu6U4rm+9H5voejVuYQaMk5nhmzGsZTa47qpxchXjJgchw0 ImBH3FlGl2I7sHbE50Q+JuO1WYIzdTIf4u3LSfJOvbjGkd86qo2JwyKDUj+T y6G7YjlOhUpG1VYxT3eebBRiv9ca+7sYcq7Jjr0Q78db96X3P//ei4TbmbVR /uVYv+2Z+vOLLPwV/fglxDTA4VC1tj2mFGhKaW7/bE9Hrf9u0HktJrHoRJov eb4chnzdln+s5kWcm8NVbBvFcxKdUdeFi/GR0blUtbOduF1bRR84eqFuznCt 2KFhVCsxGR6wLILYOJW8soMDODojIWdhT0W5oyHZ/YJf8bKd9a2RwI8Q+KdU WM+5D+UiZqlcV6oxUpS1sXuYiIPN7vcyTzGxiUtEsqIhDzLm3CsWTg1gTvzG kPE1lRiSa/nqwEo4Vv3OeOMs3Iuq1k3xAlLDKGQTy7854DO+3ZajtzGXhUfd cmRyVmrgU/jvvYUKZJwwzSt3Ny/HZYGln48P1+LenzV36NUd+Pptxc5tTTQc vqiUeTs7BxXbBt8a/6rBi3tGLGo4O3G/hWPkEx0q1rU97blBK0Lnq67qZxvq QNrnyv7SnxT0b/11OLmJCp4aPCwnSwbanr704aIjDSRyngXF9THwnG/5RKVN Of631q+0ypmEc9Mzyx8YZbg+enACXvdgZraJ3yAXAW6/XyN2v2QYs3jVvzB2 EGHsgJPuo40jKPGnZ+SIRx8eCJiec21qQR8vF+eDdApG+TPktulWI49x8D7f bAJsj25WtJEZQf3GhbcuS6tz9nN8Z1N2M/6zXrzEJjSDhd0P5qtvIuhn8QSL pBXBgVO90tBJwYp7n/ZdEh1Bv63TtxrGStG0sam51qYD+XstB+fuduCOn/43 BHULUFJ1xVPeaQA77WxfClz/Cj47uisOd1Fwtwzj2ULINLKqsq78ikkDp083 Gj83TOE+oW0xQU1JcPPL9oeb0qpx+sDZwffpq1z0+nNN2b50yONvOZ85QsFt cjk/XAQHMPlrMZusQzv2hcdovFxTheqNg/FKo/24TkD8Ddcqn0yML7F6z4zi juu19fb6bbBG2Wy9+C46VuaO9CXmECGpWavgh+goBnB8E//8qh8XLrtYCBwh Yv+fyR0XVcloNCUuyWfZjuu1f+nl3KSB+SVNYUmdSfQl/77vONOGgmfbZ09e 7sW7QrWpgjZkzDnMYrrfbMf2DlNpM30Gipx6c/mkTgkGip4/fsqIBIs+blF7 oxkoui4cDIcy8Al7c4h5DAV7OQp0o+3IoDlN0svQnMCoM4Jrtm7rRMuci+m5 Hj24XGTmHTIxBF1dtEEJ7wnMdesU5M1hIRvrYMv3RV3cHvNSTfY7GV8eG4qJ 5+xAVU/lK49PFeHPnzGb4oSo+LFK5nSuMQmMuG1VZNYycdetuGxqRj8Q/lRK qBpO4Of1t410a4nwacCecq2GgdEJmKhxehhVJI+UF3S34b3Gi9aFdQ24Xumi jscpMqa5SWbsU5rFJMFrdZmpcbCHj9MvL70BFPP8fSeFx1BWcvGGSnc/nlw3 PZm83I26dYOuVVkkfL/sdEZrqBfPjZ1L+PC8Dd+KPt/a/WYIa6dFbuSr5IHV nuvDDsdWuUPhjde5HhZafX3yUGIoBdcGdW85oJaLGLg2eP/21XkXue2vtsqh krN7bupo9KPR2FRIpe8slhlykBY6HmC14UZNxelJdPxz0ltKsQLDftDCUvQ7 USD41JY/yUPoaaT3usGrGzTuKxp8npzA9dRzoXtye1bfnbNma/UACv/TmArm 7MednLyS4z79KIqmwdFmJKT/ezhklTWIE6VXD0VPsVDIxHXj+6EC/Hc7Qljs dxsaKIkf61ydz73awley3/XhGpUhzc8Gg7h53xM+LSUiUp4v76rOoiBBaJEP dOiootVsnVTegbInDt+zDG/DbSmrwZpGxWf6KUWqOgM4Ff6qcetqb5SMGeUe bHmOHmd489dojOKIRMVIm3gnbpPc9bw2jIJKHpZfX63mNGH6UMjz1C5UFEsN o59qwH1Jv+nRnMMos/dJ8tMnFDSZvBz2MKEPDcjMWF0yCRT51BrOpk2jKVFb o/IwHbuOhUwer+3Grz9PXZxLIMKcGudAxOMprLlJrm5x64aXKknhvnnTaHKf ragqlYktc2Mc89tW+8aZy4a/UxDkPbtyH55lokmDFtOOnYZ/tx26V8nsR90N gdeFrvWCNNv2RbcEFra2axvfjGShjaJisMnPBnReI39uJLsD49azVSWKDaPY 1tEzPtmjOBGS+eHG3h4UHj2u6+DMRM9AzaYEZgeeXTxX/HlwCiOumxamibVj 72ueeSufUbRyqWqO0O3FdcKPef07yOjlG/xiGzcF41vfmTZ+oWOyl4dEgGcf Pnh2RERzhIHk77dg2YKEdUp7V0L4WfjAPz84xrkdm7lsJWvyScCZqPSLS3UG n6QZSU2WmsAlpT7zYncmpq68PVLxhIpGGsXmtylkHA8XbVlXl48B7kmlwSLj +GTNLdXvp2axjeOVh6B9A85cMBjan0UCX8vjbwc8ZvDXW2Ux6/n3OLFT8+dx QyYO3BBuXx/EwuO1/yk9Xu31uophg2JZs6j3IeV8KaMBn8UGO54SnEU/tbC2 yY/NKD4qL//mSxP6PIpPq5EZQ5pkBU0o8DHcD7oufCR8Au+3ZPsbulRiUWGB WXAkA71ZCj4Ov6Ngp6as0V3CBO7WLfz8gLcI/kZNqMCdKXzu+vq19qZWMLMx EPwXz0KzeNEM9lcsNBg0ZKbIElHZ5WsbddWPSfzVzwQ+EHBIUD15iJuFoZKh Bzx3d2Je8PeHD91n0UfYeX3ZWCv6WHGe+yVajpczG8q3Lo6jUcBS2jJPN+ql zxUQO1Z7lvYbE4HcCjihyVMRasDCgYh3dh5JX0HkJv9tEY9pVHpVkpMV1IU2 bcQrul9HMbR6zZjGv1b4uy6o+v7TGfQ6mhKw42wPZIn+2ME+MovdwKD9fjSO Er49dnt8B/HjS+nx9zeTMK/ToCDs6hQ2hJ3a7aMyhfPjbEHl1D7s/lfz72Vy Hwq/dRlWdRhF6XhdFRfTbhTsfXWS9XEM0+1b/VFyDLnJxlvTn1KwYKND61Ac GedNDy6JnaDjZb3egsL+Brx2IvpLjOIEVjxfWrgqxsIrZYquVw36kBGVOT+8 uQuGHbduCraYw9ADcvbETyMY72MUkj1FQzPHsab3KjUYIK488OjyJE7H8n+q tqGhghb7jQD7EXQzWXNaebgGNI/EbKtdmcE07UtREsc6oKxnyFdNaw57TIkW gdVDeIk8baTyfhS9Fkr+Peacx1/HOcrlkomoSAvqVtIfwLjrLN3bKWN4LeOl fyL/PNZUv/3bkdOBPRGNg5HlBBzneJTdfGsC84V96haVe+CQrTf3sZh5dDt+ RNvvYg+W13HqdcaMY7ICR31BahsG79EVFheZRMk9r11qiGnowxUUceQhC7NM LzYtHekG9Y2TTuPn57HNnWHtNNMJEu9NFEL2zGPHzsrlb78bYd3m0CbrHXMY m+zLXvPtMwT9uv+kMGUGIyMmesyM5lGRwrz/NLITlYbULBtP96Cq+pjZ+5lx DMzpUr+8qsObIwq6/GZjmKXV5uxh34V2O1hPReUn0NqMPXwsOR0X3ewWCEwW qsj9faMwMoDPUzfMFcuOo455eH7skw58xx4cICM1iQaLwt4zawn43ce79C1j Eu+Ew33Lm6v5f0lW1W92HJ/Ky57ndewAY5nE5OTEebxJ9Qq40NMNT+RnjmZL L+CohWaGwGsWloRuFNttQcYs7j1XNOzzMduAkuPKNYNv2jPKBg+VwkazbbtF 9swhY33vR+kXvfg0VTXtgf8E0nMuCPG558Ahi7TuyY5ZDDVv6BnjW8BPlNaF tdtJaNihPgvSbSjqZqq0mTSN/wPg1as/ "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 4] (5 + 3 5^Rational[1, 2]), Rational[1, 4] (10 - 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (3 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (10 - 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (2 + 5^Rational[1, 2]), 0}}, {{2.9270509831248424`, 0.5877852522924731}, {2.618033988749895, 1.5388417685876268`}, { 1.618033988749895, 1.5388417685876268`}, {1.3090169943749475`, 0.5877852522924731}, {2.118033988749895, 0}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.857359, 0.131106, 0.132128], { BezierCurveBox[CompressedData[" 1:eJwVWXlcjN8XHrRZvopCkgyiUAlFJZ1BlERJEZK0kAplK7RMhCSEkNZRIZQW SRtnSrvSVFNN+0zNNGszURTC7/39M/N55tx73/uee895nuczi91PO3hNJpFI MuLj/99yv7fv8P8tQ8nIn5nW9ziQfj1o9/CoDGkTyzK2HqyAONv4FOd3MrTd q/Pi6qtBcLGuEhvdliG9zCrFfLQfnT/IHjAPynA4nbdB7xIfvN3s8IypDIN2 uk52OtmOJHaI5toNMlR/+vhnb1A3KNXsKvP6JcXCX5bLJAoD2F07aW7asBS9 j0cp3DaWoLXry03GUikKrux3F0bwQe7G3BPufClmaJy1m0A+aMeX4dJGKVIb t/D8s/LQ8Lmy4bsiKVrvZyZ2NzBQO3A+k5QqRZNNX10zu0XA7rk/eWaKFNVP W541nd+KmtOr9yWck6J98PWx5R/7wK1wrsjykBQpfw/e31HBBNLgzVVWFOL5 anF/f4jFkDHrmtbLNVJk18SVfi0UQtDbsjiethRZGaFKRnsE6DceWVemKsVS xYjOa5dkQFPOLrn+ZQjT8zwK58wXgxr78Kv/Pg8had+18Ng/NZihGq6T+mAI KVB57dKpEhg13L0gNHII3fbL+2/sqAO9t2lrLp4dQpdLXW/2ePLB8PEhJm/v EArafcd272NC0I0P085ZDyH5ar2j0Vk6CH6hdf9GYr6t+9O2jW0Y1LJ0hubq IbQWix7axTeDtvo4fZn2EJqYVYcVzO5HE8rPGHutITTaxpFtWCRA2sb8Nz2z ifnX9ko2yjpQV15ltXeXBGtm2Ak+LGxG8xX0hb+bJOjvmH6Lsq0J466e3S+f KUHD/9Jua3RWYeS/DZ+fvZJg3GuVEqktG9yUY3tCkyTYHff6SO8AD+MmNOOV QyVo8s6zRJnBgZqmHD0nXwmqGSZfKlXhgz3N1WA3gVVir82KCWsD9bq5tR9n SjD9QOCo7YgY1WdvYGUoSNBv4uD2bB8xUDj75H3+iZGkFHy1dPNbYDkP/Pfo hxjl5DSelbgL0JuUW1xRKkZ6JBenDJeArQO3pbBEjN51B236goYwf/X98Kx0 MVLkfLNoOhXo2Fvdm0pgQ5Or6s6FMswonvrePViMOT4W+0t/loPj+sz5Tw+I 0XKJxYHL06RQse8/Hdk2Yr2rC37s/9iLajMXkJLXi7Fw5cpToTndWHjr1i5l IzE6Lht9EX5cgEbHz7W1TRZj5Ilt25sfcmEG+SDzRp8Izzne3faBuD/2k/SX p18SoaH3z6DxQDborjxhEuwmQvKpxoynS0QYUXnjVPkREXbLVTfEsqQoke9O /WUmwhnH/E1/PpdgBPbPCjMQYcxltSItpwHQyy9xf7NIhJ7kEvsVq0Wg9ua0 Zd48EdLLNxoY/yfGmOgCgzNzREjKKeuPieoDTYufZ3L+CnF4naPSamEvnttz PCa6UYhsz5vXLi5owdEM3zlJV4Sorr/xWcJPNnBbPmt/OynEc/shd5PTAMbu qr/KOSxErtwGifA8F9nfWL6LlwuRIuLMnm1ShrZ7ugdXtQpQxS/qhfxQM6br G0x/Rhdgzqr3j+vILKRddJnlmS9AypVJES/7atFNmli8+JUA6Se4/VM0O0Aw IduUlyZAwbm/54oXEPVbH5fqelmASnpaBwP7++DcrCeKkacEONFyJHNcxMec pYvIv50FaGjs6OhFpYNR69TV2mYCjDGXhM3TawHbHMMjrLUCLLRUkAS+7YGM tifFZAMBkp6XbLkwPQ4ZjzS+ZKwUYKLTniVtV8RANpvjZkJg+pqsuIyiEqg5 vY7+d4UAI+vyc56uY0H3GbWZNZoCdHtrTF++mwNBdYMsp6nEftBT+fFmEars VMvcNM7H8Q21nE+pTeA4r8TtAYeP7KXnd7Y+HADNWyv21/TxMfHL2OGhQi4a pcusExr56E99yL1p2AHaSeH5adV8DDL2lkwY84Bef/2qegUfyYYPPGsiSzHY oWzSj/d8TIflW1b9FmP+AWq3exYfWTo3vavvDCCFPuuhawYR384Iu2ssBsmI U/oXFz7Stzv6fLDuhIir5xx4W/ho8tDkj+lYP3gLnSevmMPH4Y6xVfu1mkAz MilLVY2PpPj1gvC1iGovtd6fm8FHb4Wtbia3JHju4VM0IxFxuTe/wlMFkH/L G9c0DyLry+7uA9s6kZRsdn+8dBBVPlvoj2QK0dA+nRORNYgua7/mdHX0Y2xf mag1chAph68MPDmKSAbTDS88B7HGuepXjjMTEgdW1KvYD6Ja9sLOMySCl0zn OwfYDiLt0MroaJ4EjNIsWzUtB1F9p84b92NsyEhKPvhv8yBqdnkFmsZzkcab /81SbxBJV4/fXzshQfYVvmKmziA6H7ql/HWRDEonlEey5QbRPnzK3Kqjjej2 L1bmM2kQhz8pjpQcqoN68v7w4+08zKnWDL9Z0Q3cSypuKyt4RD/vENgsz8RI 5RMPPxUTWHe74wjdEa1VlezpRTyssIp83lYsAkHd8uVa8UT8dkXn5vw85JZb bNx7j4fOjscCP54TgO6Rd+96bvGQ0rNnw5x/TeAtnrzePISHkfT7H8N0eFjY nJ+d6cFDsmLKrMKgaowbCn+le4iH3nranXNMGMhSX7S/dAkxfq7qku95bDQc 190wsIiHmfxq1YBjbKygP7Q7pMlDk2df5U11+5CcFFifzOOi9xbtdS2POeim 3+36tZ6L468bWq7nsHB8/bvE0FouRlfOt8v6KsZuXLm97SORx+/ndD1/i9Do IkVVt5SL5PRrTnJRMjAq01lklcnFGNsz2JBahhGJLw12vuCi+rqEqEkzWtCv cXz/5EQunvugPt6wQYxuwsizrTe4xPsuKHiyUYjp+2OjpoZzkXll77drHzg4 4ROx1DGMi6SQJWr+FQNgyGr0bArkogmVWussbQfb0D0Xpp7jYuz5vXm6ZzjA WpstN9WZi87Usvi4YCEyxj1FwzZczO+a1n2ziA16AbPjlm3nomDc+WOUJg8q 1qgU7FfnYqa9wpxjehJkzX4aM3kmF4fTRnJ4bWKw9MwuoE4m9q83Z7xocRcE vdF4ZfJnAJXc0g07VHpgRsS3JfGSAfRv7mDccSHqk9ezq7pnAN16H13hb/sE NT5elMTKAaRtebGUZMbE6H8BaefKB5A+LVx3eeAnrBFo3LqeOIB6pTV9v1uk kPh7UdybhwPoSVFzqokXA9OZeXkslnhe1z4Jdsiw+6WBY9CFAbQ/q+S0eVYz qP3u5GkdHMCafY8abz8TgMs3vZdapsR6DVVi7RccjGBa/wqaSdT9yjNa5d69 wDaWvguYRuynLiQ93qID2csdaF//X3dZzHsfQjlY+GKSakV9Pwpe/Hc1dYAB kfGmhlVv+zH65C33x+ZDUCPe56Kf0o/U7vtzXwsGwHPR+JboZAI/TFB06X8K Ev6MDT5n+7HbHj9014jANstjxPY0sb5u4aEvTVz0lMX/qXMgxj9hqrVm1oIt 5+j850b9xD6M5aa/qEXttFYfU71+dDsaY1WmWoImr09rWi3rR5L3nh2XGhmg fXpk1mglByNb/rRQtrIgyOajuyOBbTdZ7Vy1WojOJmvmnPnIQWf5Pa6uJC6U euTl3U/lYOlj53cJLwkecw40TjlE3PODpyuP6bGh5slY5ub9HKQGcOpXtfDA 8fLSsS/zOWj4L//nljMDyCiw6npI1JGJzp07nSc6wTztj2pKDhtp6+Pk4o93 QWbrjs6DT9lo3WS81Ce4D/TOPfSojGIj682hI3squ0DtmVzmvEgC355T1WHE Qsen5K2zfdiYETRl5y5/FhieL5qsdYSNdG5mgE9pGkwot+tWuLDRf84R/eRF A+CoaqcetJWNDOdv3V7PakG3oDX+z0ZiPeZyCWm9BIfjb3iPEDjj5OAh0xg2 On7hxezZwEbbQaMu6ZgY9HIWROsvZ6NE52d/0fYhjMlfof7oax+6ac3wMlsv QP815hY3BH3IiqcfuH69D9SvSZfc7Cb6wn6fSunWHFSa+WKrW1ofZpy4V6yz lsj7rz23lf37UNPHK+H8WkL3bL3Y+nJbH6p/H+778GQAaq7zXzpM7cPhGE8M Dq0D57pSinVdL3rrBPK2rukA1mC8VtaHXqzZ4f17o3o/Bl1oEPdH9BL14xXt 09EA1EAHsdzJXoxMujTCVpShbrlk5btlvahS9z3CQZmFhf/CKo17e5B0YvWI WD4Vg3TdIh9ADzruUyv4IxQR9/rv420bejBTuzWstV6AbPelmz0l3Wi+lWM6 8/sQZJQsOLYpqxv9Z7dRwgzaoOate9qRhG4k3/JrcGgrh8i4an2yTzfantMN WraUAzQ0jmw40o05r1NYT+7ykG120e+GSzeec7fzPuYuBMNvLoUjZt04QU7w gHEJUF8e3xvK6kJqz1yb00+J+KqWNd9bujCmsch8UYAUIiPUcoovdyH5RHAL /H6LMWYSs4X+BJ4evrJkexWoX55bI3bpwpy3Vuyd7kSeLsg7dq3owu4jAeGe zQJQCVHy9FHvQnsbtfb7NmWost72a7YKMf+TxeCH56Vo/917eM5EJ6qY7vaR Xvi/3t4gtsghcMxovzVHBvSyewE6Twkezo/c25vxAJwP9ZiGBXYiLa/VrjVk COzpnir5pzrR3vlt0qtL3RiXmjIqWU5gbnKt4Y9+CPppcLRZgxgvd4rTofkB vbUC9n5X6ETGGv3Nbo2VKNg18nZDQAfaXzrWNXN1Mwax4r2ezOnAaK8jl0+4 s9G533F9i1IHugXHfB0q7cG4FM6Eoi8LjQRmi11jhMC6Nihfa8ZC+kqL2zlV HWjSNT3p9AYWUr2DLbntxRi5yf6HMYFV9O95XMN+9P+W5n5xEQu9GXGvXnYx IU41NyVcg4X2jX/LPKsIPbc2taiKuDekjE3XG+xCQV3UIroqT6xnuOLBSUK3 ZOwxdDT8147sshVHKa4StFc1SszltCPt8ZDN9cVCoBdZFE+ubkc3rlFXO/KA pBu2JCWyHQtrXXLVFJrAX7bM/GFQO47+2dsTvYoPhb4yrrJ8O8Zxdm87194L ZFe+mmpcG1Lqv0gLTtUhw2NRht2tNjRJkJjUTOmEmD/ap9y12pA0bpUvrc9C 6s+LmWc/t6J9a8BGF28+0OgSt4wdrei3d1HMpAN8oPhYRXhYtCLTyyHkZoKM 8Hs3PAJ1WlE3YUtin0YXukW0eEoXtiLVXZJENpCC7qN3+kYEzjnPXb5JyAMq 70X6AgkTE6v2Tyv72Y81my/uvSZkYs1Cn5l+xH0enqx892MnE4Nmvd6WurEf lTwvjZXGMNFtU56f6mnCh5ACEjbPZ+KwoWB7+0GCP+am8FnqTMxQEe2f7D6I cZeHraqnMdG/KWrkT0IbeLfPTf873IL2Ny0PzXzeAcMreoXOaS1IUWp7eezo G8go/qI++WkL0ptnXbcLYgOp42T3nWVE/Hj13KEP5UjrfK/yi/AdlraagVbX +zEjbdPSHfNa0DxbXTWN4H3dmZtalsxqQXL4/k2OzYSPqwuttWE2I/fdhydJ B0TobJHWvbW4Gc+lrSwkPRIhuyHN705WM6rzlx19WTkA1InieF/rZqRN2/LP 7Wwpmmxv+f1vUzM65hZtVPDmAD3v9u8sThPqKuatC7nMAUbB6ZWKrU0Y3Hqg 4KajDExeBL7hZzeh4UHx1OemIvDWE5Z5PW3CcwENrz+MCCGmQf6mMKwJaxJU L7d87UCS8mDfg0PEesrlJpuTeoHxfUvP9eVNyC54KX+eqE8lX7Lw8IwmjH06 z2CWPOGD/Lf21bEZWC8Qn2bxiPV+vY07WsdAtu3Os5olVWA9tzG38ggDMy/Q /haqi5ClO+PR6f0MVNO+d3qkWAbU0d0z3I43Iok3+ckLUSXG6G32k2xtRHuT 9FnpV8VgWJbx3Dr9C5Ju/lpdZlmJ9HS7RbMFDUgaOZPW8q8OqS733r3IaUDn nVnJbCeClyo9FbRuN2CQsEOdm90LdAPhwax1xPh38Pz2tBwg9e0bS/pbj8Or H005tUgK9sJF8mt76jHj2bBp2Ddi3/O4hRqd9ch8q/VKQcADMj94+IpSPdGv L+UuvTQI9JNTpg1QPyPlUGiKjU8JUv5cbJ8Z8BmpjkYHjZ8QvnTNVSPpwc+o 2Xf27Li/BNyOnvC6GVuHscHrtBz8Cb7uK8kL0a9D0jr552+ibqD948XyV/7V YlDdtxVMYxHQtWb/c35bQ/gQWov5p34cJlWd7u+txhp20OuhFR3oX3R3YH91 NapMWXdzC68JSPM4r/deq0aavP6h2SuqgPwzy7hLhcDZSafCqe2osviiV/fn KiyV+S4yqBIjfSLd+HtqFdL93cU/PF5DzFSbz/vOV6FEOeHyoQ4pkNKvVlQa VSHZasHphUociClbve7p/7FcxyNfTcL/Fs+i5RLnpHlG67yslug/4FN2oJg4 N5fKzhda7TD8y7Ck92klMioZSpOmNiHd1lbOZl8lmvc88t1hPYTDc2if7PZW osqT8+6rSdWgMjnvweoFlWjJOlU56QYXYpxzNh77UYFuAq+wzuhaiGFSE77w K9A+x29h9GAvssW1AdftPqHbzrn/7L/WIPWkroGdxSeMszj1vpElQbLxKf55 g09YEWDyzZohwmF+3PfM+nIk3UnpnOJ6E3IcxhZy68rRRGuy/xcRwTM6SqOh meUYpEy3TnxD+FwNhQM6M8vRcer8/ReEhI/uimnjTCvH0p3qXnNdh5BR/1/K rpQyHJb3OHOS2YIxhiPjHofLsD7M7cEcigAMfTYXlxmWodukyL+OrC9IX/he b3gWHSXXLP01HkrAn5GWmKVC4IAUhVQUAXup66/jjoieGgtuHjopAXLmk/nX oz4Q/K1423hkCGm5KSZ7CB6LPOn4XS6KA6Roiuq/kFKMOJy6ZdvfIaSfde/5 72UJRl4P9TzJaUPqgdQdSv4laG0mu1E2QejGnYqHZmcUI11wW5gd0AiUl59P fewowuH2zk/bmRwgv8t3ksQXIv39hrIrNxvQzYX37cz5QqRN32xa1/cJ2DZL JpmvLES9DazYuHEBkurc01cJ3mMQ+WnC3IN8oN76ywhlFmDcYbHDITrR37LC LDR8CnB44y7TRwcIn+ExIRzd/g7ry3UzPW0HgVYUlMYZzUfnOeui6aoEX3yZ 7aC8PZ+o49dNK+gZ6Dam7CiX+RYZ7crn5dsqwS1wSesC8luM5v+ZbPWIB24B xwJShblolL/kU9ViAbDnL/olvyUXnXsufni+g7ifFlNTestykH14gPeE1o2U yYbGr+vfID1TO/0/HRpSoncYOcVnoeGJ7qtFD4jzf7tP2mqQhczb6lkhXTyg KNjbVxpkYk6TNHNVSCOQPu6+V1T3Esl+7+yvmnQDNSdkceixDKQ7Rr0rupCN FOU7e/+ceobsgZBp7svfI+VGdJpw1jP0txhzvy9oBnqAj76hcjp6dp2Jm9M6 iNQZvbXfxtIwY9RB1Fo6BJQbLKeH35+i7of2a9tLCN8/fKbXg/uU8NG/3MQZ RL7FBxhShRQ0dznwefY9CZJuXU7c55CE5mcvPNBvlgCphrLSwToJ46y1Mgvt e4FqEETTjXiEJjfOfpqm2wOksNnft5o8wvGeP8OBqv1A2jm6aUXyA8x4Tf06 u5KBpK2l8buj7mOm0e3bVzSI9TKi914k3Uf2SudJF52/AGm6pV1jcQzG/dj2 a1Z1H5B+vM3JtbiD1sl9rS3biH7RqXtdwyMEmTtXpFTdFBH9Y0iH9vAEmuSp rV28hwEkt/cnA7q9oGK/1drtp4nxp4699+oJANLi6VNI+pHE/pPPmhVRwTB+ 9p3VNkRfHA3C9+5XgexofsE2n8hHj7PGi74oyLS5W9ityAZqBUuHo/cQTAry NsbuIerhbOSmow4PwVYhy/RkCcEnxro/r39OANJlh7Bpt4RIzUgJLMtNBn+d AAWnfVwgSfOj7n9IA1KF/PE7iU1IsVE81eCTDrQfulP85nwGOlMyljbjOcT5 zFnDMybqx/mm3Cqnl0B/tEOytAWRVJ/4fb38a/DMvh6Xdq8fKPqXIw9avYZh MZWxwqWe0NUyx3UZmRBsuSJ0sQnxvNqpTusXZoFtrGIO9aYIKbBjz8532WB/ u771GV0GtH1dgWnKuZDIz6vM3kz4gc/xXtsickG9b9otJwEPKdotlv60XEhH pm3lKyFQC8XkR9Z5ULM9xNSpgoFuuUmUF9Q8kHsc+yKaPwhuHzKbyve8A9Jm /vyqkHB0y3x07HzLOxhtzbiWOImNbjsWk3TfvoeYKZsmO40JkaJ+Nn6jaREw ai+ErA6gIzt5Z95lcQn4z5nRo9BcjXSkMfg7SsHo7byxxPNDBD8664DKB3Db aQcO0EvooGUecfc+wHDFLtKf7wQ/P2A9FpIQYt41vMs6wECaXitTpIVAlwhK Oi/ngds4ba6/OR0MnRQPB7k2IeP13sMSCzqomHWtepzKAxXu9MHWM3Q411L7 LjFkEOwlF3knwulAGmUvPOtwDEntDJqDdRmYuJqKpqW1Al32u+RaTxnERZ89 fEV1EEh5U78+CigHipl4atHDXIhRcF+qG1QOtOwd90+aE7+X3d3DeVwO1E/x D9iscmAUT13aFlcOejM/OP9WFQN7xa17TwrKITGPWbltgMjXV/lbJxvLgX5r 0PLCklSIuTnGXjVcDsx/BVfkRvuR1qNDaVr6Cep/3aTciZMgLetQ9sPbn8Cl 6E5CzsFBoFT50iIFn8Avb7bOYzNC356rkfuZVgGsKzrvAz4xwY1fxbEwqISY Rv5prsIg5nDXTc62rYS4Ni/9951dYC8b9WT9rgSTyQqqtHYR2r+et/b0tyoI Uly5VdQmBfLnPWGdv6qA2ve0xH450YdW3M0+PqcarIeSqs2Gmcie0rk4aHU1 DJeyAwp2lIGKj0G+dHc1xHRbXNG+ycXhzC3bX56qBtajsIfZsU2gojmnl/um GmypzXurKYT+DNY9ObKnBiL3pQrm3iXeZ8lYwzOPGmDsjd0dZFaFw7EZuqK7 tZC+0128ykoKKjXyIw4/ayGYcX/TqwE20NaE7u3Sr4OYhT36R48Tekr/kuwi tQ4ouyMm7WW+Q/LW8PGY2DoonDZBf3m/Fcj9hh+EmUQ8Mvjs57NEfra47Chd /hlIiU+rrsgRfvVtjW/dic9g9Nq33uOZDGkuhzISBon4pnH7tVdjMSfCkd/h Ug9sofsWza0cZIz3fOj6UQ8kByVa6hmC5zZIkvkT9UAt64rKT4qFHCsrkpFq A/if8hNWnGTDsNFFcdHCBhgOeTJt9nrC15+4s/rn6gbwS9mYDES+KZ+ZhSG7 GiBmrGHT5njCx7y6wWEyGoBt/iTfoLQcyYH6pH8tDZA4L/zmiWQ+MtKO+VCn fQH6scXDJ34RPve08HC0wRdg2YxeW8BtgRiZTs31a18gw2LZ3bivbUCe7DNS rkzwjoWrr0avCFTUtdvv6DeCiZPRQ8eeZlSpPrBgyKgR/HjBvLPBYqD/S7Zc E9sImvpz217OYyNjc16gSkojRDs5Pr4UKELGlI1DSQONwGjNDopzrUb7TSbT Xow1gmXFMPP+TA4KFD8WaMgzgHL73N8z6/JRwGhYJJrBgBra42Ub0jrRLea1 Ymw+A+z3jKg+esUA8lrzqUkdDCgcWXn0/LxOUNL77n96lAHdMzJcV88ZBJNt 69nZ04l79CNDe2p2BQT9rZ7epd0EStSLd3b8xwddLfdtDVuJeJvCmXebWkA9 /XFBwdEmcI4II2XpszFHqmiwLrcJIo4lVzU/lyFrqwPT6F0TkFmRs64H1uCw mbWC2LoZGHOVtjjad6PJt/n6Hp7NoO19O8JgFw+tnU/vyj7ZDCqbrCet8WBA hs/hP3CNGH8gLcBJjbg/f7W1qLnNYFjOuPNmFQedTy2xMihthrgUjfhnPTJ0 m3eveva3ZqA+PFZSQBGDf8n62aZOLVDxee9ZeSU+Gh4Se4BXC7hNUZ738jcd Mq6GHvsb0wKSEeH3rHHCr/x4+kv5JXGuI4o07wOfgbXyfk6rIZPgs8dbnv5X D9avgrnXi5kwmrq7Wf+hAOihIxq+jUxI3H3l45pDXKB2aUZbipjA8DpPqbAR oXprSnKWUiu4Ka7ITL5TgeS7S9xt9FqBNOl7wsgRwteRa3fHQyvkyN+e+kf3 //rRSPutVyvo3oh/WDUuQtJ9usmS862gPd5677kOsT7XZdbiyFYYbokvS1/R ikH6JQudHrcC9YipvMHBbPCvpx9iPmkFWqFZvpNNFar4U9LkM4k+SwvsebS+ GCiLZEbBs9rATYoqcSfqUTd0eNmy7W0gwA2GHjbtQEtRubXPvQ0i+B6+Oz4R fD0un9tBJ+71bOFvnYQCVG8Z9REz2oDKCbvE+sOD4d1zQ+kdbTC8epXp/jQh qKyqzd2q0Q7qqfvar93loIpJ5XDzgXZw6z268pdxLtj33eaHRrcTfd6xw2re ZayxthY3pLSD4XevaOATflBmUTAx3k7owhdkgxAmGh71vFI/lwVuRaqiJetq wN4mR23+ERYoSbac1vjCR6WoxXE7fFngvCb4dcc3MdrvvHjQM4wFwXG5QqfQ AWBd8iJdU+0Ae5GrjVqaDJxdt/5SXNgB/pRd27LUiTrVv50Vv7UDChWSvLj/ tUKMfn/nCIFn/KoM2rNaCM4bi3fnNHVAjOvj3HYnoo8ybQLtpxF1Yyq8UeBA zJunLRds1glB0yz1dstJQKXPqE99cyew9qWHcXTYoBtbxly9rRPcCqTTfs/v ABpl2fXFOzohw2XBbfLiIYiZ0/vkcWAnsM/DOjnPLqCXD/4xoXdCcPj0bUob Oeh2TSVVICLmy+p0i49JUTd16V3b+V2govBo19LgalRqynt9yawLNGeG9fqf EqG1ofHdomNdEHNqe8Hxs3XAss1U8KZ2gXqEid/cda1ILxpezP/cBYXLg7+n MgaQvE7VwZTVBSzzt9vUF3OBJhY+m8rtAs/C6ESyKhfJheWvisy7ISdPxc6Y LST4MdB+RkE3qJhH9lnVNSMjeppdpYDQ1dFpWnvjkoDilDymNdYNMc9nb6IW 18D4s/694ZN6gEWY5o0gQ8pYqpXG3h4QKHZuj94yhDlLztrc8SB0brRxcMCS YKBodjO6L/XCsHmH2a9tPaj+JmnI5nYvMAM3y+/5Tfil9y5rXsT1QoZgf/er azwodMqJtn7WC5G7B/7cC+KidfgyX6P8XtDNIVlddxiCSI5BxST5PrCPts4P 39KKpM+c4ZJ5fVDzwa/OZozwq+uvfX+kQehi5ZxBmkcpUDf3PjPQ6gNBWkCD kYMEI2nhpoXr+4hxel6Nj/qBEZdEt2juA5OL4S1NVzoxZofO8SOL2UBKsLYz TST4PQknHXFmg6GhtWPPMg4EFexdGuvKBpOmbhOPZVJUsm/Ocz9FjB/zu+ER lozs9wcli+6wIYOsO9Srz0W/ct/fXQlE3WX5lj9a/QBIvr+fz/rIBm7ishM/ OzigJo6Kv9xEzBd3zb0y/S5OcP0t46VsKBT2/DeW1Qe2laV+CTI2kJ+ELL/7 uwkmNFb41ltyIDNlQl//DxuYV6w+fT/MAUr9P3UtTi1QD0jPFVE5QDu1VS0q eADVX6qRPj8l8PuKdJUXMswPIT8rTuMAU0pWlL4kzsuJWpX3jgOj25N87lr1 o/bgm92VLA5kmN5Oo7d0IdUuef7cbuK9dzJezpAfAP/JB/rSxoj1Lq37W5BQ B/kJluyPv/7/v/Wu5eFrmsCoaJau4j8iHnqRqdHFxwiH/qIPq4g8u958f1Gh H7h1U558NOsn+OzH5KVvWtDR+mXcWot+qFg+L6ytWoYmz2nVjnH9oGS1Sunx nHYke14IrOshfJJbQuG+xkNAWxDktGewH9w0S/uKXg2h7Rq5riMj/eB/aGbc eLkM8v8uXaasMQAks6Zlv6chjLozl4VaD0C0S7zJ1h4eGCU/LBu3HQBr+e0j B493gOdcvpXEjtBVT/qcv/eXoET3Z1X8ngGgf07OOxTPBPN/B0c/OhN9Z9SW ZpTaB93fj/BrCdxNC7VUpgrA7dEJiYn7AAgaF/jXqTSj85R/pF+eA2B+x0VD xViMcfU5A8siifjzgr+BAf1o27WcHZUxAPWDlf22q/txRsWHKyfmcoFcwmeu 08tH75tLV7uuIXhBBiBJ6ELH5l9hWhQuxDbuPvrafAhs/daah5zmgvW3LFYf i1i3Yv7sH9e4wKWuSdSL7kfzNTH37fO4QFmX71z0MQf8m/rvytOJuog8nq1s 3wT+pKKOk1VcUGF8sfldWwPqLvujPrG54O9YEJE4IkY5ctDKYiEX4jRyV1Vt FQPNa8en4hk8YJX4O6duaQO1W9OupC3jgb2O8UhTg4g4v6l9nj48yFS1N5Ax hyBdNXqGehaP4L+PA1RaNVp7ZibteceD7szAEPNnRD/n35Dr5vBghjtz/tNZ /eA97Po8X5HwCdOl1s+12yHY585sTcNBiJla6vxCxIGK02c9/dYPQk1xWdNK 6w4Y/Z6t9WTjILAfz/nywPcjML7I3XC3HATP1PdgpM5DuW+XuNfdB0Fi+5Zz eFo/ssuPVtw4NgiCkUPKJUtFqKTTe3qa3yD4J/KMFN5XotGwNLj48iCMJ9W8 7tstg0xJtaA+fBAYk688mZtaCZEf31qEJQ/CqFzUSncm4YfqlJLXFg6C9rWQ e7UzhaCppXbZsW4QEjez9Kb946BufeyrLwQm/UnP/3ziOsj9qQw80TcI+dFD 8/64C0Fw93rIPPYgaDocFTYqCYFWsLj1B4FJwwKv7cXJ4Pi5SfaROwj1fR6T lBUGUPd1z8eLf4n41ash9ha9RP1kbhLN54PK4omDX+4R+j5dYeC5Fp/QzenM nWmf0V6mW/xCnw9KwXlri/X46Oyb52m7lsBLHR8torYgaf+7n9nr+DC6Bcm4 VQi6qxRt+nbwIZivoW6yQwqFvkvWnHfig+fGOXWKpwahu1KSPNuPD7Q7nMm8 ei5WnLCYbOTPh/Q7JRd9XwmxMCrDrvgMH0qbHeleyoR/iQhIWB1C4MKHPXGV RF5cH58sfsAHUlze1r7cYMhxgof6sXxQK09QVF7Iw0T9bkZ9Ah8Ya65N7dUs A5rH+c3lKXygFt9eqlbwFD15r+I4nXxgLcpOjiJ0nqb/loioPj7Qi6VxuV0N qNSb8tT5G5GPpljtHU6NENR8HNdPFYDK/Kiv89awwfH9CudN8wQQ6d2yR7ZD hLobkam6QAD+FcH3P83nQubjaZd6FglA/cRCA+ufHcgYq3lYv0pA6KH1lyWv WkA3KV7lsKkAaMwXD2bxWsC+1yAu0VcAhT2Le1fFd6PRSHNcb5AAnG3e/zKw bcGcuiW3vj4XgKDkuPWMmf2oPhRo+bNIAPkzlN/Un+eA83PFPyoNAvB8fj0m Yo0QgmbPHAjuEoDh/TsBzPltMGNAy8r2qwBcyAcC76YLUKmO1jnyWwCkIBfz qvpmJO+SqGgZEPOOB2bO62SCUZvdhAeBYwb/prqO1AJlv6dPW7AQTIKLYxLP Ev7X5lOB9z0hWHv+y9xytAMsPQ6f+NMgBEsTcopDIxfdlsttWzkgBO1/ZfO+ sTkYBPMtn/OFYO9yi+wYwoKYzp/D5atFoHQMfULc29DR9kpMC4HZexeRye7v UZd8xlvNjPBFNEeL4jmEnlllSR2zE4Gz/OL+qdlE39frnZK3RwR0h8VOjzUE aLTF2YFxUASOT8Z2HJvLActsvy3T3UWQ471kX8XlOvDfOe654Z4ISOvC/+1n vkX6uEh4IFkEhcYhtEMpxH0/3XF8MF0ElKj6weLSzxD7qWyEWi4Ct/Dw7Ydt JDhx0LwmUp7wYWATckInDahU3VdzpouBecHg6ZdhNsZ2N1xLnSWG4bcd+7aM tmB04bo//80Wg0vdvJ1vD8hQZcrGg2nzxUCtfs7KUkzEdHNfFzszMajrLnGQ kHg4Ma8tbaWlGPIVSqWWOVxwW7pzKPykGEhqr5onPLtx9Ajfc+gUMX+mitwH WybUZyjkbckRA9ukdOrc6gJ0zlvn4oxEPFe02079OUpaTkVc/ETsNy7Gdep9 Pmp/26Y3SmBu9TZhKNE30xd1fePUisH66tFQnWt96DzgfMV8gPA1Zk7ZP1IZ IKfzrIskEYPtRlVXzTARGhqU1abIiPjDdX4twAZt46KaAVUJUMMrJ01VJd7T oj+TpUX4EnLCRdaKbsLHao9mLZPAxP2YvjHfQZTbNu4n2SYB55ax3e0TYnC0 UTWU2y2B6PFP72/7ScA690fh3SMSyMmf0q4l34JyhvfT8YkE1FetmNK/pZ3w awLrzTnEuL6c6ucviXPT3uO69IsESBPNSkoajaB9aXj57hYJ2DbOfxG2jej/ tikbGpkSSLxTu6nxAQdKsxY8WPtDAvbf50XVx1cgZcXJxx8IXU2KuJEZsSgd M2Nml/evGQK3FYZqJZ25SJ7Z03th/xBkzlebkVMmQslZ8tmtwcR4+f3GaX2R SFmQ7GUQPgQRN8un7g4keGvb0cqQ6CGoP9OC1CjiPrCp4UnJQ+BNFrTbdbBA Im8j1f44ROR/doe84hDkzKiRUcuHQKXWm2vK78O4jvWtDwie82voOzTzFQ/O jYpe8qVDoL5dI8n/cQdoxmTdrPw7BC7zN6smi3kQ3Fe/+rSCFEibcEVhyQck r3pU932RFLihNTkH7fsJP0zbbr1UChPfhnJe7SL67A+TiegVUlD68X7zlgNM iLALjighMElh68GTNm8xSPnv3WwTAlv5PHhm3wf51YvJ9E1SqPimm/jTXogm OrrmufZSMBlMrzOzlaKj78VmD0cpuGmf/kb/RviF6ctNXQOlIDk/6/noXyFS EyKy/wuTEvqpYMz0VBuUHl9d8veaFPyuVs3pOy3GoDMi8XikFCgWkslrG1qx PmqH/LJkKZxzXPg3+KQAWJ5Vb8JqpKA3/VB6nX0/UjYVD1t+kQL57wZGk1kH nHtU18WfkALj96P77CNVcM66Tr7vrxQMa1fQta9IkeX3/L3GDBlQI6zD5j3o wonpyanlc2QwvJi3szWtHZ2fjvQe9JGBkgafwTbtxEi7md2/b8ggdiopTz6Q 0AGzFCMMb8tAfcN4buZoJ9SIW+vmpsqAZeD3N+pFK2rWZii9IDDzNHVc/7YQ tUeVtrk+k4Ge2Cq0crUQgzZd2rC4VAYMfpBoKJUJKjltRr6fZaCi8TeyY4cY 6jO1k1/3yIA2Y8zux186/A9e0SMR "]]}}, { RGBColor[0.857359, 0.131106, 0.132128], { BezierCurveBox[CompressedData[" 1:eJwVl3c81e8bxiWFEFoUWWmojIaM5EaUhCRFyUhJXyqbhsysqCQkm8yo7K3b 3tsxj3E4x3Ec+6ShpJ/fP8/nn+eP+/O87uu63peoha2+JTMTE1PS+vH/r56h 1qeXJVW46HjVnFj2DYrFzXiW2SdhkPyK6VIqDX7evkEpe94HxSM2x9KV5sE7 iPGa/3wPHs+5++HV6jLoT2n8sNf5DnEby5i/uPeD4Yjgrc0npyC8PKT56wgV flmmNu2wGoBwoQcdM4fnYIwr39NyPwO27HfLMvcYBduO0JKrX7LxsOxBH99P DBA7LPznoR0DmA47TRXnjoArf7p07toShHmuJi/rjIJ+uGBbRtoEbO7Tt6eT aaBzvf2jc3onaBXsDNZumgf9Un6eOw/HQMlZ+D8xazq0SK906Z5ehL0TZWq3 0kig2Hb13C/uZaB89JcJvDMAiqui3jpBVPDSLNgpcoUKPoq9KU5nJiGcmqqQ wTsFO1aeMCq1krDspkAP+/ocQtPfCmZ6B4CNiSe5T2wW/l1N5NjpyYBU7tN+ nWNE+OsZcC05YhnU8gbXLlr3we1CSjJ7fQ/U5wUaKZ+dg12BU2yHjMfgx91N 79oapuGo741zDJYO1OIIsf8d9Q1cq4RlZuTfAuVnUrGm5BJYVh33anBNw0i/ 8UDDd0sgrdtQl2LJgBfesdQQv0GoeHYwnMV+Anre2rC7X5qCEkc7m17jZXB3 Fi3SpRDghzDxQ/nCN7h7oE3wfn0v0DKHRqVKW2FlYWuaeuUcpL5yu0KIWwbm dy8T9goSYGRVSbHpEB30L9s93Bg9Ac6XyLZ/iheBh1uqkSN3GK5v6yXbb1gC dcluYdaPRDD8s+1uw5kJKBJOyCB3U0HRIGxn2vN5cPPbPl/73xgcXH2APNnL sMP5lsO1nG5wXra8yNaUjwFasieYtJZAsk/N32gvHeRuvLMwGRmH+/hmo0rt FNiwybtrbifDwNRovVc2A7wbTkrZrM+P2y/vqXDsBLnUimcdyTMQO6D8be0F FVzMl6ouaZBByubmaNxrBiTFtH5VfNkL0d+ee8df7IGJD/lR3+7RobjoEP9h Gxr8Pfp3kVYxDlmdSo9/SM1CFGsw/we+MRjlNFvIqpkFtV1/1IL3joJxQ/mD VslOKLWjTy4s0cHEctcOzz9LcNPzuHvc817QDflleKNtAIIVy2333qSBUcfG O5vLZ+BOCvGkHGUUwqoH/UGGBtY5rPEHno2D/pUX74v3dIKIBH/N9690oLWW xTi0LsEvAUnmkvheONElLBvdlAI1pVplKk7zIJfv4jvTkAQ3ij3uzryYhzDN oeoT3jPQrXIosCVlFGK/6t1Svz8Le5TPRBlaj8B+sVbeQN8OqOMo+dFlTIef Wj+kKAKV8JFXdtjg9Sws7e6rNnZan79MdofPwV5w8StzPMlNBOG3Do9fdVDh 1rvCLw+4qGB+z2jZfGgcSi5I+ie6fAPOXfP5Dsc7gZ0qaJ4fvwD32dJXCRcG 4FFNZAjHiQBsM7mnlRU8D7WzclVb+r5BgvmZVoJOG0xcGUyX510CsV3y4ay/ CLDU+bwNFr4i4QFtv8/BRWCJ0vP63vwNZCwWfByjW6Gs9WF9o/Io9A466wae noTXRnlQM9YK/PGJzTcqp8Gi2syZ6taI+iZb5k9kLALzA534PzdboUWm72p7 +DREM6+yzlyrBSmFgiLlRDrsabxIpKpXwLUfhDesFjNwuYK+WcKKBpr64vFX M0ZhKHGk/nnxJDxb7mAJ7yXB2c+9scxSOah55J3C35B5IBe1Rjwd+AIbHove FDowC9uzvJdkcuuhyyvef5GFDgc+DBkm+g5ijJ3uoud5BpQ/XrJ9+WPdJ8bO +le0dsKztOX6qXwG1HILKq+0tYGXnXXBzql+1BgZLGf5tQR7EqtfuvGOYlVc 2Wb3HgYohIevWDsuAkMSUiRaemBJPog1+2UTFoZweRVpLMKG020nrzQxoPW8 kN7Rc60Q/ttA8BqRASGropONQy0QNmFs8qerG7c+BBziWIL5GwZgvKkfJm9w 3WdbmYQX4nLSlbVNUBHMl74nhAaPK9v0tdcGofApyFUmU0B6M+d/X882o5Z1 alzqwAJk/tagLqW2oETS2QvaGxfB95BRuTfbCOSVK2ecfEcGjY8LwyYKs3Dj 9HbNV2r9MFVowqKRTIdHSzp1qmyDoDOY/uf1Lip4an5XElsegXtK+jM8RV0g JpvgbHGfCptebV/h0A1FmdLtQtvrZ4BKD50Xu96CQiytXSlnFkCsbr9jA7Ef jzo9tSNvWYKYo2fSDm1tgTtCt8f2wxSkPiybf77uS22P/asDEyeg20rkbcdc DmYRth7MOTwL43M7ulPp0yAjyDad/rYf+Ne6W8I+9CPla9oJkYb1/Zmcuivx qxl0H53kbO6lAjmapsQf3IldXr4WVPcFcBTYrc+dNAkBzOODR68PQ+sN2zDj cxRYlPMf56KNwAP1jKZjY+1oL63KvXnjAoRuS5K6Mj8O7V9WCgP5SbAQXdz8 YyAPVw7Nlbt0zsABf6LUVBoBqoyild0uUEDZ66SSnM0iUGTOfXq80gp9emft twp9g8VJT7dNYpXwM7lR/vUfEtCv+dNmlUigOp/N9Tl73Y8vHczaGtkM9lYv JoVlyfBVoObssvMI5JgzzQ53k6GwRcHdN3kYTuW+dZS5RMIbMgkqbMFLsPVx /olqpgbsvORsK0CbBWLCB//JHSRwdDnrRVEhQWiQ6ofXClNA9dlz9GdbP3z3 TE0ajScgd+3yUU6hBfjcNppw+VI/xF40Ncq8NwFzewNP32HvQhdh1/kbG9f5 oPNV9OSvVtCuYoLubArImMzPvdswhPsessV97V4AlysstgexA/YVNtv1FZLh wKmemu0XSKg3r73oWLkIjeWcbx3W9VnJvcUp1r8HrJ6UZZl6LkFn40JG0c9y uMXpbxr1vh3swvLXzpuTIZlo87ZKYQBKd5pc60onwYz3f/sdkxch4cTZ6Kby KvBeuZ3ctX0aYhibJy5Id4Niz+vthN2DIOWW9XvLQRJEeb+9fO4AFe4oHO8R kOmFqzFGEefW99o6kalAabEfTJlV1NTlEej1vctXN09CyOCKiGg/Ea1py/KX JBbgU+UtyV2qRBxzBC2FlnnQi2IqUzhKRI+FD9ljhfNwNjH78veeTkyOUHJu TpwBe7kGb8VPfXiRoClpfWgOIl2lW833NoF3euHYFHUCvGovAJ2/CVYiJvL/ xUyA6w7CzpjvY1glWBqHDgvw5+HuVIf/5qF8qcwg7WEV7L60csEDsvGxcfc5 kwwqXHIfSzlVuQSeBsMR+TrxUDvwfpP6TD+yBBmQNsjNQnbNTKuPNAMqj7r0 /9vkBgfsfXcZHaRB9TMLz3c9rRBoRfl4u34R0snq8a5PMuDz7R0cDk97YJXa zO6YPAqBT+rq4m36IULq12yk4TDIgAa5f3USzrhscLh5pRO8flRYXPZbAPNL 05s2uebD98yR/S6GreiepOj1rpcGk9R/Cz8dB2DWNos35hQRCkXbRekmnWBJ UWTq7RmDSI6AWUk3OmRLBVzLuVQHTf2v+J6WU8BiRpGmuKULMj8e1kpMLEXx eQOpdh0q5OfXK09njCO/R1zy0afzkEfn7as0aEP6b8oTJg8aJBwSdFyT7YGZ asVF3fsj0Mg0rmj3axK2ZuSynd/TDjOWieyeLxfALuL2fS7lL/AzK3TZ6nMf iNmWfLHgIIL4SqJBs3cxUuO2ff7XPgl5kmYESzkyfPK9rJfe3QkWj3wDZ3+v 50m+4n2ljhpo5Y5y3ywygGIqdbEWR+gwKc1Grt63BHqKkbVReW9RXFRe79PL amjonHl08gwJZLI2llbvHsRTJCVmrj/TwL/zM1/C9yzs1t37ZDaZDOLWciHl jsMo+KOGub+RDm+y1GSZnGcgpHvdBHvzodS1MUmjsAkPXQUpu7ZJOKUfy66R 1wG2ZpFcSi1DcMF51aI4dBT6GQJfNI53A7/bKUenJyTkdujO9VCdAdGqkOtG Uz3gmBNow7fUDyufBF3jtjTAUfVLzo1Hh6Hbem10A4UMa8XCuUKHG+DZG++0 mBgybi5X0nwUMQtlHub+/9n3gOinicd5x/shYMaHqr1/HszPeJ+0uOeJ/4Rl 54JvUkHm1t0o/XeVoNRHkz5d3gD3Thmzfk4Ygm5p++3Vjk3Imev1z/YWBfZJ vO8t4eyA+rYzuy8bDUC8lpLJnnfzkPBqRf1UaxJGHXsckD+fhs4fLVS9z45D 87Px+cOadLD7VNwn+i0J3DqX3P321aPNnM1nCQsyhAmLuvgVzAPPMcXocyqf 8OVp/euDjXVo7DofFzczATlNCbc0t4yD0pKte7t/A1Cu6ZW+7ZkAzflYXs6Z asizDsh87ViJPC+Cq3jI40D9W6572HVdH/6/czO+lGM4w003UIkOKjd7M5P8 XCGLBfxEqnrxFV9XrOWzSWh+4eKqf3QG9E63dSnyheF8SJBDec0Qzgt0/139 SgWx1YZBYxoVOtNnJNLTPoKbVdF416Fx3HLZrFitgQY5L0/O6HV2YnnTWQ2W YjKsJqUc4b3dhU0m+kY6/WRwWZVoklci4oV5U2G9z1Sw3CJ9hvCOhOef5SYX a9Og+zfJ38hoBip9i3da7UlELfaaWhc7EiZJFuc9PkSD8BkloSKmcaz47wf3 gD0NRCv/eoWkNINi3gkywb8XfgvURYmSmtBJ84/5lMEE/AngrX5Km4Nf4lUa WTLFqPCeeS5n2xiKO7Z56ZOp4CqYU8R6ORHPgqHT5eVh4IvIfZpA70Xm0VzT U5wUeEOtVD3DPoT3UjdS+SQmQdq47VGv2yw8Cs10SnMuROif7+JfHcYs3wDX bPokTAxPdT1dK8HTZv6sV7xGQU08MP9O/jQweXU96c38iGTWV3uqzfJAAsJt Odb7528rVufRDhJQzj7+KfS8FHRudGgybn3FgJ6Ef6SmEbjIbMgW57YAmop3 61b161Hppcqn0PX7IispfgHpBZB/jueTbuAESlu2vL+0cwoWb5mS43na0S2j zXU+lQSCGsOD7eZU3G7q+fmn5DSwiNxl7b47AWypnqHHvTOAi4Prse10J3hX P1fdSG6FlPZR00CFNvyxrN+tLkuCOM2wucN3+oHz4ruglOe10NnndTdu8zqH wOrpzrBm/Pfp6ys3/lkwOPMSI7ZXY+zQoWcBES3A6fEj8C5nOxznssl+YDAA DnapanfHq2BN5YFxjAEV58UamWRkaTBgtuz99Xsvfi518Y5KHYdM/uat/2KL YOtXYqZDajfsaBs+7cAxD79H/mb+UW/BYKXWS0W8c6D44f4Jrpom1M7u1XzP MwRbHmWuxHgWgK0va2xAbTdMr2UTXy1Ug9HNm0+MNudBVNGxU5buXRC+Uh98 LKoO1bxdF1U0h+DNf5GTB7K7kN/x1JO0shFgjt7vwL2BBDw3NvI+b3oBmz7V yVgKZ2OkksmSitF6P+Psucyx2opfxLxrmU8TQY2jZl73+ATwbFcic1xIRNnX YdpqD6gg8tDU2NSjHJPMjlxvUE+CnJyi9MOWXZDtWG8YcYkEldeaPgzx2SL1 MtsR2wdTIGl+aCHoXBWS9hc0bHs6jON7iLp28uMgEaG+q9W0DSoaW8fbQ6rh voH15FfHGejC6ROO4q14UPR8n1UxGSW0reoWhShQe+yJnojuBK5e1LsgujYB hyPqkKhAgWtX/8kqfCjFJ3GSCwHaJLwbNFhbnj4OfSpCe8QGx3CroOezzSbj EEWzWwyzGcMsRkMUu9I4kGddbCsedGI+r/cEX/MgOLQPOW/bR0Ep0QevHCrJ cKFHZ37HbCpGTXKWberrAiEhA0FV7wJ41pm0YZbRBPjmbFwuSyWYkExTz1Dr ITy05UDbUClksRFK/P9rAHg399brXgtKbpUTJW7sB+L1pjm7pFHg+ceoWdZJ Rd3BjSm1uX247fCF7xKjROAI4B+dGpvAndUU7cPUcfit+fBphT8NeSsX1Dr3 T4IbS6+R5e0B9KQdlfzvHxHei5994BBGw8hVfrk6lklY+0uf33iHhpwfTszo TVDAJzh4SfJjETzLevR94n01KDQ4aX93nMJfPL4hf5LIIJ9YWpjoNom0iv5z jJsTQHtxy7+/cxj6pu2SK37movbi7psymhTgCqoLff+kAa82r97jaazEGwGx N0iHOkE9kJH9QpqMamG2fPvLSKDDZKi6QZuIbqm+0kWtQ/Ak97bk66EK2HxS 4JU5pRTi4lVvr/JRMcS4wK9baAJ+fDo+yhEzjBqcl8K1s4fATdThdNWBUTzj xru48zkRQkQOxDLgHVSIx6RcLqqC0hdHTixIdyKV9ewHgZJ1flS8fClIuwbu +Q3sG+H7DBYqjLKTKyOYUHF4zM5rCGRZVns/lsTD55ijtc7JCDNfxuVi1vOX Uzpnhm2+Cj8OtZzsjhnFH9/uTqn9HYRjVtXYxDuIM0eNvhc09EGHzKlOxbIJ 3CSx4XuU1QjM7Jgz/BE2hlu0o+uerA4CX26U+pHQcXRSDTARbySCdrii7bM/ kxjkKOTidoUEK84VO15wT6OML3ss28A4vKvYz9ry3wCEfxqelfWoQFPnFFx9 14MhB7ZU8Cx3QfdfOXECXwcmUWZ/HOPrgBpfWrZfExUl4+TJAdYkAJ7rBhtu BkF1xgXXTTuLwSn2iZtdbjeY9rPfvn8nB51GhweyEhpBs3Ry29xpP0xxM907 /vkrGJ3RO7/VLx5Q2+OR9MN2YCGy2IbwJePx+3s1hG+VIqnajF3LoAZKmlyK /V+2gL6a1DM+10RMq1JMN9w1BWoxZI/RI73YDc4mNpu6kCn4O9cNpnZQXS4r KeocR7KHV9UW30FwTdlQXD09BJ7JfyOGNda1+XOOubYvDSLWR/44lw5fmI8W l4RRQOyeiZCWQg/SlK1LrET6gGK6x9xCowpjGhuGFXI84fXO8gcFZplgzCZx TS6cBnlGHh3c5QOoovPw+E6dKXCTD1H/8LgfqcIVOcU3aTjhsq5DrzH4+Uf5 +4mf0bgr+p9hhU0O0EzpJ3m7x/ECrfF+mFE/vL7Edez8OTrsOqH9PYtMxLJs yavGsQl4QMre2/lmFlSnj26dudmBW9Zea7EU1IN0W+p8k+ZHNI1mMLeXf4b6 0MnBB++nIJj28I2O/iBe+cxvuOvhEBRsad2zV6AFj/7cV21+kYBa40fCuAea Ie0LdxybCQnvufzsnQ7vgQyVyu0e+ZMwdkm86UT0AGq7hH81exQOKrZ9EueX nPCKYkXCB58e6Mm4pW23WIc8VgwdSBrBb/ZbadZ5nfBuN5e108NarJ5uHzH9 lQdssfpDQ+7TeFNwWk7w1jBQI6NGdTtHsSqDfm93bCdQzR8HX9q5zgMqbxaC UjuhZDBh+eamRtyzIm2k+KwAxtckyn5opYIR9kPNvo94KMfYR9GsDD85XXDr eJMIbkUyhEaVSojRjP8d3laKperNjr1t0xDyeTWTtJuECbnRXIv86XBUma5o uZCN7+5dKfVnocNb1Te+216RkD18sLnHuA8U3nrteiPQidnBl57cEKmFexvd UvPYq5HBx/p3mKsB3xY0b55KywDByJXSjvl1vmIeZfbfUAxzJZHnj++i4Ey2 lG3T3m6Q2j1NUF/Xtwy7lRyTbCMcddvxbGz7EFR4z+9N8V3vxTaRN74fIUPw Pr0rHolEdGkiH9s4UAflAfYyzCKN+CJJTXj+3AhEVBX4Vpb0of6ptpda2lVg 3TD2oTayHl/d4lLvOkDF6IRQDfZdPaCQsct+e90EpN01tDuhMYwVWa5F/et8 b07Nr4goew49C4+Nk5PHwf5OSXjgMSKWe9yOui9Lwg3Hj0XeKm6AiNkptcc/ J5HhUly6daoL7vW3r1QZ0kAaH+WNjY6jh3jepltmFAi6f2qIbj2G/bNC+VbS iXg5QnO743g5vhMQswyOHgENtRZ79sxB3HJxbe/TMRLce+fu6pU6jE+v7ty3 5Rsdrz6pfZb9thckO9yaVRSJsEPiirVy+iBmu1XWBGyloKeVYkxFUhN0qHOU PNg/gAkcudzmlZmQpekem+ZHAba5m+1douN43e/xNutJMtyTer7DroeE5nmj NgNbyHgBr2gtxNaD+I0LHAJfq6CgQ/m2z2wHPicVM4IPzmHkuQxVH+yDOqGK 69zXJvHa4AsT74ImaL429/jqOxpwxH7hDhSmoNmPvPnbWoNYHouvj4wlA1U8 8d68DQ1TrCWtGf86oOnXvphI5zH8Wk2Nb/UugjVdq9JfBf0Y+Upg+xONcJBh OjmiyNGFR+fHzhf3JKM36bUazbEFtKSqDLWsCBhg5r/8RLUJFnWO9OSpEPBX l2ZHizMZz17PW2k/UQ376Aez+zZUIGF2qmnnVDVypO13SDrTBZ3CKg6Dtf34 8Gzn1kl/Ipq7m0vSbGLhIEF/qD5sBo3Zg8Iimrug8Hfyl/ILRbDFy6z4bWYX yknWKLygdWGuBGPk0aNs1F4PmdryCXQZl1FetC8DQwNe/8Gns+g0wL+/grUb 8h4QbXWVxlA++sR/m0UzYEJ+/MSnph4UOeggqX8nC6PvaBsZrFCQK+wvpe1p NURaPDOc/jSD5iSFfezvOmFxW7zEfEAzcCy3sYnu6Mc6stgcvx8RKt/+GHt2 dQylWl2mN4wPwbW+08YtX8Yw0I8irfe3C7W3vtDkEi3C74V0m4xJGl4n6dSW qDaC36HypdiKSqC8jkoRxl60PaZtJxPyBXTz/3m8Od2DltFV+rd4apHX9HnS pdF6dKtK9Jfj6EOHe46K7EO5mPR3a0q4PA1FZ6OlTLAWhH8cH+u4P4WEyI+G mYPVwKBd0OCld+JJmfi0VTLiraqG9BorCnTw/6bta6XgXvo0bXyyF86tKN0P +jmKap+b37T3knFghT9IRS0XnL8UHtDe1oyOmYRvGox6NBU9a+j2kYCFd4zP Ss2Uo7KPTfmkSAskRYj5nNtPRNsHvOI+CVSweFvsWtlGxZn9xw4+lxgAwX4l 982lJISg1ll22T68d/SAwKuVUhRSZl+a1+6FnRIcBXU8JPxcdVr2S8QM7tIL tPj+twGcnU5UldsMwze50uYZswnc2jBxvf5aJ2b9upokR65DocvaxW+PDUDj rpZCM99xHEqOWKkzpACjOE9h1IKK5qKBUn/X96SROMD5RK8e11Q6EvdLDYBf 0E4n0vdxDFUQ2NfHRcIQlqgqj/xMnAt4avNgnfOYfD7UdSlMIXH5XrzzAgHq +YLFaLvG8ZfWwadpelUQ4M7EHn2TiHODjNj376cx4WPDXEZoKfxo3Ouk7dWF BgFfFrlbmnF2TjqKqEYB+44NynKPpvCa4hLjhc3oem8ZL+t/ScEaheMZV+SH 8Ob5D+Q7m6twZUKqfM05DXYNsN63shlEgtsEBzO9GHZeabrxKIyIVj9TqIRL RPBssWIyoZExKGKHIas8BUVcbtn8bvTHkDtLVSc0CZiusb/X7VwT3hLaq+1H 6wPl4umbtrQJ3HGHtcS3tBx9fms89AslYMevRqMv93KQL0aMZYNOH/qkxpdk XapEBkdvyYp8L0p+f7NKPEDE4uWzdAKhFtVnONwasBQI0aly/VyjWHJMX6Bm bhqLQ4XCtu7/BKF2TgLbZUjAVMj+/vxzKmYzPzdjO9yHE5uyWCT0W7CWyc2O fz0v9JOetLTRKPg4zC4l5NQEypvtcOZOKcbEn9dHr+aGY6Ax9fV/D4fwjrp5 3Nb6edST9z0uSUfYxC9sefv+DBr98vYijX+BBLVTjX+2F4Lb5C9WTsoo+o1u 93J8Mo92Hz5F8CdXwK1zLGshLEMoFvBWm3mkCXczF+3QGR4CzYtzCk/XOTgj t8BHV4gEjfadL3sKp1Btx2Zg3T0JJdv7jYTS6di1WZtTeL2nq/w58sdpGx1/ F/xeOFpRg7crj7Vw1vejy+izU+W6DTi70TCzk7kf7eOLzg1fnEWe4rzmosoY KGqL/Du0oRivHK0HQbFhzPSo6z29zl/Zag/1Yjpm0O7E6mP9uglkVrR+Svet RadwM1LZVzLM6nSlZjjPYDlLOvHQ7gVcrC7K/czxGYxYpjuevpvDSi5Ko+Sr eFh6rnrv4vE2YNLfFcZhQUEFbVfnqlwCmqS8KjRyJWCgj9slVhIB1VO8Xx2O I6BtctAV05kJ1N3zn7WnVD2mq4aqf7ZaQJFx2TBL5o/AFHc9s1JlBEaEy+8/ 15nGF2Hr2LaTBC9y5YN5DtPx4CldW6+lPrgmwnaXjzyFK5MWc1llvXjEOKft 55Y+/DLUpsya24aLe9/q6QsM4eBLyd8MvW7855u/UV1xAF+Jj+667kbGVB3t lM30RowZ7TUI+TWJyd6ZNcev16KtPOWzIs8sytOKLmXIZGDFcdWplVtNoMxk wRTlOomFF280ZF/rwtak/FCWz4PoVifg5cJHBpaDcaPE1Vlc9NTilrQlwdsd 7T/Orr+f5LXALkPjXnwgdsi/pqgfHxhJrXm/y0PCRc60pAQS6qssxB2j9qJf /DN3aXo/rtjXfIygLKK5zJAp29sPcGRj/NgdpTnsnHZUfPo0DStHThEOBQ4A paDBq+k5HTcNHFOW2DoOjaKhfkfS5/DxWkqZsNwIPjZpYTpF6cOwDZH8PL+6 4UFI+xcjx2mUl8hOGFh7h09c9c8IZ5JR5JE+H9WnAzZfNLy9pY2GT71reoLa KuHEHsFDwSNUrJ6LOaNu2Yg9lcVBC39I6FP+6gzTs1nc0Z4t8ZS5CnPUDlkp 3RkBnnpjfhbVOeTIeNkzYTuPwRSmG4aZpZiapNfvcZ2C7GXF25mvd+PqdNSh pMV+bKm6EDqxexirVThP6a4OYffb0jd/gIgnrn2pq+vqQvFtoWmcliQkOZzc GWM0jOoaZjnniEM4WhBwme1WN4SydvOMf6cjq6dTZI9vN8SOn/vvsc8M/rtd 9VRSjYb1lsbsp0M7cfMGkxsyS/0Y1VQj4ykyhpfSpKI6j8xjsl7hjVj9WmST ZSypsYxjlPX+/W++DSIKsL+5kEhHT9UNCQt72/HMXNmesMOLuDwdsF/nbyXa vl9SFT6SjvrH7yb83kfFDQb+RfI6c8imoank/aERBXTuP/NwJ+IW/uldh1NH kdlM0pJ7bAkrQ4lOBKdCzDYTyVTMGIKUXUshtgcX8I59PZOFNwWFjhjYOtr1 48Xgc3Te5U5gMZQtI61zg1nY+a9DI41wLE4pNOrYDKZU6VrsT2fgImeXavr1 HEzavm/L5m0d+OuYmJqKNRkz3AvWbqZWYkQqIfqT3yR+nGXb2lK8iKQ74Xdj I6ox74CE6WOuIRRwTjEJciFhaPh7/U2kfOxiLbjy9wkVc9ik4xklLXi4VWSr hQAFWW6E85j8bAdxkThJ54pZNHhe2mNWSUGHlw7nuZsGkB3LGC5yDPQsmeC8 eqYMjTR4Q1W8quBuBov6xRU6qh8y6m7voOGjD6Gr7uYEFM4m+50U7IRWpf5m Y5k51Lv+8jbNnYrHzfUDg8P7Uf6vYKWnai/wLklttPw5j1vcl891PGqBI7W8 a2c7Z1Htjd6ny6lj6FTUuKY2PIZHR4TvilxfwoBP+2UWbGvR6+TZvY8Ig3Cw WnhmymkRe2/xDKfu6MPo0XAJMxEy3l2tvfhsvUd9lT4dzPpiHs+q3d3k/mka A/Y4pkz86sXyt3Qz+95ePHk86K9lDhl/KkcydpbM451pGY77IZ3IU6KsYJrb iK53tulyv6bixo6/DdJ+U8iSkhluv94HncMIlTsiy0G2QuVv1vVZjPh3h6vg bS9O7N6uff8KBdnsAzXvSI7gLhmWCEPlCTy4Qqz+w/8NDWx4M0Vyq9G39OvI b+8aZAimGxaL0VBgZq199lA3tNl4LXdILOLG+8IRJxh9INidFLJn3SdcJwTY vXkD8fBD3m+iDDrWJPfmvTEZxRH9N6c43CbQQthhJ7v6B3T+vNMgMJaOY7K6 bjVyZdCeyrjhfm4OD5yPyiAEDoN86KB+GHkJF1bFWoo/EME9gKZysW4JdzcQ 92y0+oYhpRLCDz/VopFeO/dXGIFkHznuozwMZE2jFBT5EPEUW3Ja5BAZuVkO t3Eu5+GZ7X1t7M50nBCKK3S0oOFDG/5Vydp1rja8f8T0OQNFFNtu7shuxm36 zEK5Rypxa7TBi7K6aXw+Z+0h/HIBX0m/Kko+QMCPBz4mDe6ew8P2DzSeiPVj 2V7xkCcRFFRS/3FTIJSEd46r8tr/q8UFuwdDJvbTqHpU7MG+sSzw5nrQpxEz h34TTK+rvKPxBeHBy+M7ZlF4l8u+PZq9+HPTcuVyJRUVB1pc3Hwo+N6jf99v lXHk1nZ+XxI7ACUd6ksXDjBQ+53zlNexJTx84Zfxk4Vu1Fn8Irf+VkCLVdY+ Z8LAPgeD6cumA6BbWNrJrcLAG0459axrIyjNyA46OEVBd3Z/tY+TJCxLfRsR SlnvITlvxDyPUPCK5ryTCdsEPspv/EEVpGJ9OEkm6fg4Zo3oNapklKMbKee/ 899msP29EC/MDePJvIf/ieVMYnxI+hHaet+XijH9OFw6iqUD0Y6JBlNomq7q xVe4rufJxOlbfIuoznsia9m+HwN/+qZz8Izi113Dvol9k6gamh/9SJaBMWQu dauNPZg+Hc8p3EbEZXZRLZFwKp4Qut/hn9yEjkzcBqp8M/gnNPFLUDkDT6lO P6zV70YRfRf53WencPNgt2iI1Tie2bbZSpWrC33YXv+IW57G1wui8QQOBm7Z JP3XaB8B7704QKjkiwdZrl+yB9wXMHdJPb3p4ijiWP9ln2NU/Bn5/tQu4wX0 1HZLm9QcQld2XSlrj1FsMsszYwug4hBmyxYTFnEt/JSYiPgAikdIsF2t6gDB B1ob/YQZmMDT/DnxMwG+Jr2JONnHwM9WVX4det1w9MzeqiseDLQp173yyJUA IpH/XAx/Mdb56Zop6ycGCt7Qnqpm6cVhZmuf74Y03FDyfcBu9wTWyYvsa9ZY RD9/cVqaMnE9L0NnNJnGkRCwTz04g4o7X4jLv/5LxxMCpj6EZRL21eh7/Do9 iDHDarHzUdOYk8uurraLgmUFqucVnk6ixK38XL/IJSy1a7vLSBpE8qn2u3Nd i6j2ulWG4ELEjT3OpxlzS+iZe20ianYAnyaLOSpNDoL6DuKSnMkyEtuHn5Uu LKPW8eMOH2S7cY9EfIgD9wA4/fluzCe5jJyXn18QZCHhFhnVa47r/9FnHBP0 3qYbXYLbziTozOLjbaz4z2IBQ4dqHC3vjaHqmQ9brTbmQnphvIlk9BLujRzN f6f1DeWz7kf8tuxH4S33mYV/94PHefbZSudlVOUbsw3d348NpXPxSS9mUO7c m+WMngmckmRWNzSbQqORg/rK57OR+tPs6kTRIloczvT0Se6GGY81jnv/vuF5 avXGLuk+UMwqvXvAbxnbFDMMM/3DQU32tPNmvyXcVOg016O3hFo1tXPd10cw U0V5wWCxA2xrRU4x53/DA3we9q2K09hHF3dvCaHgotiIoG11Od5P/FnwIX0R c2YdTXa8oCFL+0Xyv9uT2HC56ESR01eUsp4t0f68iKwbr7W/9myGZuuauLG8 bzj+++ZI5ZMJXKF3v9y+dRqjtxtzlvTMoPCZirf/ta37Vz9ZlGnDEhYwqFfF bpJQ7fshgtKmLuz3uzj78MACXm8JCBPr74UxG9WfdJnvGMRsyZO07RtqCf7L ElMZRp0vpw9FmJPR16s8mvsvDYkaR5U1Qsh4dak+zW6Zhq81wUasJRu9fJ9X WAQtIZ1LPNadZwm5SdkWAe9J+OfQ+NXTzdMYuxy4edp+EoW/dcs/fR+EnCl7 zUTUGPg/KaSebg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { 0, Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}}, {{ 0.8090169943749475, 0.9510565162951535}, {1.618033988749895, 1.5388417685876268`}, {1.3090169943749475`, 2.48989828488278}, { 0.30901699437494745`, 2.48989828488278}, {0, 1.5388417685876268`}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.8929546, 0.38966159999999994`, 0.1794008], { BezierCurveBox[CompressedData[" 1:eJwVV3lcjO/XnrLVT5gSKtFQEUIoEjpToii+IQmpJCSpEEbESBJCJYqKiUol KhWVcqZN+75N0zZbzdQsJdIivM/7z8zn+pxz3/fz3M8557quJa7e+0/Kk0ik x8TP//+Xj/6tKx8cRKVFKnLu4XzcmhEyuIDA6TkH3COmSnBSr+dUR+cgusR9 8T5mnofNDz5dDiUwybZvQ8xwIeiQoPoADmKzMtASz3FA/8URcWHWIOq3PijP f8CD8rEz06kZgxisPv+JvaUAqdX7U60SiPU+G8zrahuQoqscx44fRIfJ9eI3 4e1oKBiieq8YRL2sx0+FKXyM0ss2vqwwiDm/cxknFDuA+dnc8VG3DFllXjab hF0oaB28titZhgZjyuZv1tcDmdfgEP1choxw5faNtrmQxLgTZnJdhuRirW5L agnQQg6qjVyT4ZB/SsQZXyH8/P7eV9tVhj9n/FCvb5CCUualE9ucZMhs/WL3 4TkDfV8E58nIMlRQe3T/SHETOM5Z+ryLK8VQZk7oUdE3jPoaMOd7mhT1Zbxf Uw4MYqeTc9aHUCm6ZUf4n1zOg86HV2XT7kuRnLWmtrO7GUtOLB7pvCZF6h6N uX/+5GKE7UeFq5elSJEmnHi6dxBooigF5UtSZPx6OxxfWwk5j19ZNblLMb72 6J5VukLwKTjiPX0Xcb5H27rTVk1go3JP8HGnFFUvWHut9xEj5US1XcUOKSpA ZvsFbi8GMy6s6V1LnOfWpVf2v3Rw5Ex9cXy1FKcemjV+TIOPzRzHYe9RCfG+ Cd2GP3OQlba4RKlbgj6RouzaJXwURdz9+5stwZ9zedsiPDhQkqnzTb5egi5y J3bI1lUjEy5epidLMMrvvN9RZQk4sN/HWROYs29imu+qRlSY0FBMC5eglenW /XN1msDnWsaHlQESHHJ9VPLUrAz1RGNtpc4STPJ2OPVoLw/dR2rKVY9JUHDP ZGdhrQxSNy1Nn2pOnG/rEpjo3YvUYemKrkUSpN6pMg3OrETPxe3KGtFiHHu/ ddfZHg6qGmq92ntfjMZ/R2xNvvTjz+Mh9G83xTj1xeKMmRF8pL9+c3fbeTGy VBX8zYLF6Hl/4Z0MSzHmHI74pH2EDVOfB8fMXiPGCLnxKWRRPzp63FdbrSdG Uu2TdyuMrqLLTHuG5lQxDu2FgOhlXaDwzD5P/vsAkvzuyK1Zl4K0qMiTjtwB ZFgfuZk33AgS55kWd3MGkOp87cOe2EFIn3Yp+1EEgfXL5uoqC4Ce8yZ3ImwA 098t5BpmFqFPlKOVl+0AUg4nZC6yz0JG2Zkqd60BFDVkbskmszFipkKhnPIA Gpe/X2Ek6kTjeJmslnhPhmNaooecEDophq/k7vcjJ194YNwxC1ys1j3dc7cf faYfChyfXwVj7pdPbvPoR8Fm7WyrUwOQsz/JdPJ0P5IHXDPYJBlUs37lVlj1 o4uC5RL5kgJIFZeM5G7uR9YO7R7XJBGK9LwcFCn9RP9aGj/YYoOTe70DlBf1 o+roq2a5ETHQlq9lPZzXj1O9zD5q7Zdhp9L6npcz+pEy/EY9q68AygcfJCpP 78chycuNnzsqsNNIJ1G1U4RukUvitp3mgOG6O+0/6kSooFhzgba5A92+h2/1 KBAhk/+6Z1tvMrJKFuKBXBGGhpa06BxvxHjun9nrPouQsSzgSaY5UX/GmVDw UoTULW//C9nNBtbOGOm38yJ0SeDqao0WoG/6q8d2HiIkffrOmhbUg8abG+23 nBYh56fJ7peCQiiPqI7ce0KEdKqJ/Yuv0SAQnAzWPSzC4K097w7qSsEtO8y2 sEuIISE4o1hLBJ7TzV4szhNi+tvUfY32LKBs6XZQvCZEuuvoK2ZhIzR/SjEt OkXkm5x/T6FxIaQg987f3UIUnQyv4TcKMSL6QWGOiRA5+lMmkmaJwFHu0rkg ihBT7xmlun7gIDWgVLvnSh/6zGmPu7WjEVTtxqpEG/vQxnG419llEPTmj27W XdmHlAnv66lOBcjoeO93dnkf0nJCEr8e4KGq0Vk7X5U+NNCfO8//kABp39XX PPjRi/SS6vmWy9rAnZ3tFf29F6PqZlgvvNILmv/+ynLYvaiZuuH0vm084Jjk zqgo60VbfvvHI1+rQXX6a90533oxafpEfdX6bjQsPl+ge7wXc1jHDVw62pFx 96hs7vpeFBV6hm30aIOxq9t0C6b3ovGcKUmrx/hg08G6EVArQJJJeZBy6gUM tOpSHcgSoEvumJY4qxZ0xmdtTMkQoMH93Es+pTyQLFKZRnstQHrtshH55a1w fUrsSMBLAWruXeeQ9JUH9CdGiT3XBDhUZb4k+msJ1ov1TXQInNQMe2r0mtCR 4rxLdkyAvl/dhuX0ekGn97jeZzsB2g2smfJ5IR9jtkkW77cVYP2tbVduTW8E hvPhfzabBaimaq7tY9gBdrOc9JuXC5Bx+PzJ2X5f0cZ111uyogAjPC2XrMsX gO9R89Q4AR+Zq7tGeb4VmLqAeyKLQfBWuIZf6eluCF6xTqX5KR+t6vY0eHo1 I9Vet6rRjo/53ut+LjvJweuxv7M3KvMx1JkWSV7Hh+YMesFEEQ+D/f+2CROb IR6ru+fn8bD57VxnFTtiLsx9tzcil4ekvwZLz654Be73voc/zeChZKlSWfBZ CURgYc2n9zy0kb8mO8Ml5vSMfTueveFhyLFBypInEqRrshvCI3g49S/NSdJE 8MrThvLaFTz0AXcncmc/6rVEBZot46FoetizhfkD4GmWHpu/hIdZPiN7y6uk GPxT9jNWk4fkxOecHWuKoDN51QBO4SF9WlB8yZLXMIR6m6g/uTi0zHe6K78I s176LwsRc9Fg4XRpn3Iv2vk9WXeZRcS3/rbMTGUi8yvX6ACTi5Id+dppXB4y Lk56LX3Mxes/lzp9IuqC8skhaOdFLtb3bzi5fawdfR629cXZc9H4TCt76ZxW jBCRNpL2cNG2SvvZsqxGdLfotv5sxiX6JubnieBGGJp87my2mIskUdDjmF3X IcLManm7GhF/HsXovcDAqZYeD0anc7FcbzJ6fKwX4qeF+D4cI/puZ9tytfMJ aEdevELcxUHmCdsHKvL90Pnib+OeIg4aHLy1c5diFfr2PvlxMYrIX1ysWW2a DIxOidl7Sw4KDg7T9tA5QHHDi5s2Eetvn6H+uMZCPRU3U+XWHqQ1Z6wt2sQF Jov0+nt1D0aYdjjWWAlBL/TvtMnsHjS47TLWETiAakuUN9hm9SDl5ZwzjVtq Qa+9ZmFQWg82e2dpkJUGkSafUhC1mMg3Y9SRthLzffzalXmKPehyo23Pk8/l wLQ0Uctu7Ub69A0LEiLSMepGflhIczem87WmmZqXgVq+qtH86m6C1ySyyL+V aLVBV/NWcTe6hzzetnC0A32WtH2+fb8byWt/iPnK7eBw87zc/s3daBFAYy9L 64ec9ik7M8u6UEHT0vrW0lYwvuOTeCStCxl5MKdPoxtEF9u8fgR3oQFPP2O1 XCWM3QnZsOFiF7pBpOqjpwNI/3FlgcY2Iu5sjg83EzyulTbaS+lC28pbs3bT WkB0fOf3rjld6DPV5P2cwXIsr3QqzVHswizt/0gTpoPok9CtsKWjE+v/jPSo EbyiV/mxSrW5E9Xq/trEs/mopn/ukLSiE/XMX7wdC2KDmofZQKJNJzpuC6L/ qZUh6UYbK624Azl6tQcebywDB/KCf47vOtD3x/YdGTOE6PA/7g7yvQ40rhV1 J3yQAuuN3bIduzqQxFazThoVoDutZ/yfUQcy7ryqy437Aj7ltq9itIl7C3O6 FnanF1zo6/0OKXXg1p6tpkVu/WCVVKVHL2Fj1KF5WW9OySAqbmFPZgyBH7RR SlW4GPr2i/kPTzZaPfK0PveuFxnbjWVmre3IND82oNL9GkPPNS61r2pHW8Zy /05ivte7vLqyM7YdQxf6/OF2cYAp13K0XrcdBairndMiBYPWpcvCpxJx79F6 a8dioD9o/3s7iIX5Gw6kX9QjeONDzdUDFiwkx2yiPv9ch/XjZf2hVBYGd7r4 8ze3AeOu0GdLchsOdeRVlyoIUe9wQR//ahvSL2m2GbcghO5lLKGcbsOIZzsP y78XQbrygbh1tm143UjwXSWgF6i3U7oMrNuwPPPo228HxeBg/tk2TrcNQ93e DqvdZ4NVxvbpz+TbkKIxsvT11QZ0MVLXO8xvRQfDlQlmrwbQp91t6H59Kxpc +6dx34eNoqL/5uRVtqLh0gweI4WHofrsMyYlrShKmC+yftMIofse7l3t1YqM txO3G8vZQFlQGrZsVyu60GxTHA61gU/JeNz1fy3oY5IW42Dej1S/0Qs3m1pQ pNplM82hDYNjV7+9eqIF01eKwgTzOtAqZY2j1lAzZt2pez7jkBSoza9nhLc0 o8scS9fihXmYfvdBgnFZMw4dT3jw9JkEGRZrolRuNyNp5ErTXG4TKMzm5xdo N2O6if7KxVbtqCauN9nEa0KOh/Gf0PCPQOlq39KY10Q8h8fuiUAZUnK+OP3M bELW+itRbxSaIdjq9mNZShPalju68NpaQI0nf+q2D5Ffe9g0/zIXx/w007OW NGHItcg/FigDg4ZDQTPjGpG+QTGfzOpFqxXdHhqvGpEaN/tzm3kmDB39ZeYa 0IgcXQv2nBmV6EPVHCiiNhJ66MUXivoXJGWveiVn1Ihqe2fNN/nYAwYGU15O X0/kL10z49MWMYry1em6ixtRB/Y8rWviQM4/usOVww2YczzebfbDLqyPIp1W UWtAxoxHuiELMsFgkJv2brweo97Mkfc17EG1By8m/GbXY71f0qTX8SKkRnBe 1N6rRQPhKGqtEYBLbM9Xz181mBSo6Jw11IIc5ZLdKkU1OJSy0uvmPwkYNDut nZdXg1OfN73ZtZTQ04aaS+0+1aCq+rhF2QoRph9m9F1wrkHO7qg70bPLkPmO onrqWzWSI8fnjb6txfp5OtEMZjWqBvwpD8sheGslp9z7fTWG/knaVvBWCC6M uuUTV6sx6XPzUMkUNtR7Pab5XKxGkb2ftlchF2xVpT5KltVIP/WnUTi3Cn2C 1ECqUY3u7N32Dc1dECrTyc9PrEJb809Dq5cXgwvmVB6fV4VTT4doDnn2Yjpv fDmNXIVkRdR/9qUbbNvYtx8GViJ1V4L+GeVMgicsjrKsK5G5YLIkTsIA0uLZ dSlZFYT/S9728DoXfOZoJhbsqMChfb8MsF0G9RYta+vlKzD982Hn7zdZ4HIk OmJ3RTmSnrh3Nqpmo8/x5L0bnpWjQ8w5pxWhPDR4MSUt/145Mls0Ny7VS0dO 5tFVEd7lGKE9135FixiY8nKLFmSVIX3UbY4vmajrs1WNVz6UYcSPsC5VKaEb FZcIqqK/oULh7Xu0m03Efg92fqZ/w2Dteezdq7oIvTH9cNjFbxgzo1/x+Hkp 8fwHRY38UnRXybAfn90AzPVBMbkhpUgz2bUhtK0LhqSGnTy3Ukxt0zco4vch c5Npog65BJOsggc0+6XIXEI51aFQgizdHzqz49hgWyi81yRXgqSJGxUhkZFI av8mb/inGMkqGhttXjYQfeKbuT2tGPNX2Z2ZLSF4/zar5LU/ET9wo0bDsw5d +O9MSDOL0erXhx3PhnuQWuRXJxgoRM/oifBvJX1IOqwvSiAXop7mxOM7BZ2Y fiaquI/GRPL+rAjOIhYa5F66ZkHgeqNXydeXyICa+CHlrTOhY4z5zFWZvUj6 sIPm0YVIOvjF0/rFY6TC3E8jt5DgOe2kkI5GpExWTzpMR6SZh/dM39ADJCe7 qWbPC5Ckv22i5HsycsDoR+OOAtRzLP94/nk3Uhu1P50KykdKf3Gg53/ZwPnP 8VyaJ4GvWPf97qtFutr8mfqcL+go9hptbSd8/rsBTunFXBx7XF1Se5iF9N5L tNbZuRjMPPhkGbCQFCXoCxLnIGPaSunZ0W6ghhjK707LQYNZwefHThC+ZS3t SdvbHCSFvejYtf4rUmLKZzmcz0El16ILwhghUISDyeXrctBYuXDD+CUi//nL Fb4KOTiUbi9XYyRF0t7IZX97P6PB+dHxL88IX8xGQ13Tz0jdoX34pxYD6RcU uy/1fML8We47dq7nA6N/tRfrfjZaZVl3S30IHvVs6A+6m4kiyoOUA2YDwLyb Nf1u0ke0YdpVbvg+ANS0z5mptz5i/ku22zz/XqQe/JP/+NRHJPUtvJ//uAEo O1uu7alJR0YceWraOgFygkT3h+anI/360LqnHaFADXWbOpj8DvWD4g/euyQG anmzx0nSWyQl9n9R33wLqCYdioetE9Biw+oZCm+I94lKHTxT+BLp3ueZH22j kT7krvz+XSw2W48s3O4iBbp7+9ZhxVhUWKUzNjk5CPQit5Ahk2h0F6xa7eRK 4MVaoOLyFCnZpvznmYT+trGQ1BiEoed5i8nYvb1AsgaN6FN0ZLbdTKTvJe5r Pl/NQ+CPSouy/bd7DyLJYu8p5ylX0KbjyEHeTwmSVnaMHZ+4hKR69pqwr65A Gor9Gtt3BO1sk67eWs0Dks+bDQ/2HAGf4Lj3rFXthE+/5z5ecRRoYaC2s6kb SGGnc+x33Qbq0o+xyddkQPrfcV+lZ7eBouW4SK6wGkgJq9cFT7kD1L3k958J XUtqLfzHuXMHHPselHu/FgNp/54KNj0IGBacONfZxJxZ8zkl9O89GDM6+Pzv pn4gbcl3CNodCqzm15NXTYj3/zVlrZgXCvSxrx2i5BYgPatu96qKBFYw98hL JOrf8rdK7I9XoMZyOVlyhZgPm4xLjfAN2Ox+EB7pKARq7/L9kqXxQPuwaf4Z fUIHJei+G1+VAD77PuQ5+dQD81a/64WUBCAfW53tVViH1B77ANfWBGCMiMa1 rhD1vzZ5Kjgkw9a7ASbHPvQBVeY1UrUnBQKfnZka/5r4flWGR9RbU8AicHwg iCUC+vE++w9l6VC/4tZid/s2cLF1KTWSpgN5Q65op1YL0lPfV+bFZYLLucvx g7R2pETYxy+0zQKlNIdZqx8Rvuy1+34LhWwIHdzuMeFO1Kvew6ztdz5DRFjN r8fZRL8EfE6sYX2GELKBUoACFzmu78ZGT+aAuzfFL/o/FjDkyxW7K3OBVXFZ /sVONjI9oxlZ6nlAr73Wyh0i+vdwzA/J2nxwcXe2invZDy6cD3VyMfnA+Fr6 Ry68FphFNzW8y/MhVY8k15YxiC7uD4P7Nb6CLXXZbC9aMXKmGDe0eiGMpfww ChA2oI/ujFEdFSakJziick8FhD7k3eH7MWEoXsj4oVgD9QapA42xTHBQLPji zRQCI5lXczmFCeSzFnXkwSKw/db89/IAE2L6mjc5L+Mi2bt28SLLQkhXLyp+ vpoFZKU+uxlHC4Fu79W36AYbqHbX19JOFIKa46WZV8+IIf3jd8u+gUJgVdua TYw1ID02JOiYbhGUO704baYjA/LkI5eL6UWg9D790ZrEXuK+SlvkqovAgn1a f5ErF8jyl69bzywG4yxNb72/YmRcWDhDe3sJDNknVIgXCtGgSXbjmG8JuFR/ nxe+pxDTZaTgtf99A4Ot5c98nCsg/dFE3d6SMhhLZDOUV/SjwdDi4nUzykHw N+jRzGQ+0A07c8xnVMDYkI69StcAUvllBn+PVgAl+5Kea3EnGCQav4vbUgkK wbuMGFocYDylrTU/WgkSg5OBRwz6kXTZe/rk9UoomZE3zWsX8b1GZp0pfVhJ 9N2T0gNGn9Dnglax5cpqoHWY8hf8GkSyW8fbU2+qgbPO3xsaamAo7FQ1ybQG JCf9FlFLhcDcs7TGfnctiAYalef8qkfOiojzVbRaoHY6rsk0/IKUmf4Fujdr wWXY6pFNJsF7m7+MiHpqgWR0/6pg2yMIJee2aC+uAyWT50vcFhH8etTEecK2 Dny56gqHWjmEvvo1vPVxHVCfalWff9wI9Wt2bLr4rg4YSrMzHCP4GBqTIng1 ux50wscGg9SlENqdHB0ytx7sPijlhNtzwAFo/xOcqAc3xQ/RO2bywfj6O4/X D+uB4hMTlJ/OgvKnB3zrpzcAyXUy+1QhHUVeqemDmxvA51VOJPt3J1KvcwP2 WDaAS3tex6MvMqAVW7/TP0zkV98VTfueB/XFiexpxxqg+hBnA1lVAMaLVked pRHxKMc/Hgb2YLCHP4tKb4CtyUMzF+hI0GHmFJWwogYQfN0xq6V7gOB1FrNA 1ADUVuUShdeFWH7MN/ikmMC2O+b8p5wKoRcmj1KVG8HHzMVz0a1asNL2MWpW bQTKoeKMWvVCVPvPf/4Ll0bQMb0w3bxHClHaW6YUvGgEMmlrtpOU8KmcdseI BCJfa23ElLw+GHMYVp2VQezXmjwwP74ImY0xymsInOSrvfGiSTtEWXqrH+Y3 gmOpx6yJv2KwCpj/eLNWE+jN9XvSv5Twt4q3yJfLmqCE5vGGFy1F8pofbazW JqB7Vf0xmE3w9mvrcK9+Ak/cKTvviugQGVzi7dMMTDu2//O/aUCe+PfnHjaD RdWhaxumSlChu8jEobAZ9E/oDkxrFqHo3cZBRkkzKFy/6brpFQcd/jzJlZm1 AOVbfGietgg5NJFELaUF9Mz+uZnoisBHa1XM1fctMHb6/lHlgnY0EP280Jrf AuUnjZUfvuYCU7zepaehBZi7rI1jac1AxSamoqQFrHaycl5ca4Z6K5NFbOVW qHe+cfGuUSuQNDm/3dSJ/6EI1tdl11HPeVur0LAVfFkPGGd/iVFhewJUvGiF zmivNWeyZehgQE7r6W8FgwAR5d1tKTLolyWP5NqA9FVtxMn+BbqHZO1bR2mD ofB5b1vPsjEnS077gGsbKCUFSPqsiPrsOlTjUdUGtrNqrt6oLEOHbtntD/1t UF276NMb+wGIWvtWjjyFBXqJik1JM/iQY3fQBBVYQJObEWqdQPCbukHfJDHX HE3mCkMLucgSVn35SmUBif187ayZz6De9NwVfWsW+Ehsn9chF/UOSsfpp1hA Kbs7+36gCOp3xLp4nGNBRH/B9lauBFihi95Pe06sp8puHXuZhA78kZ6tGSzi Hov6B94UYc4nJ5cWZIFaYtWjxed6IXQV/9eXURZQa/4LVNwaBxR5JI/btANd qFJ8S4WLSXbP9N+6tUPMh9lCm//6kT7r5Rzy+XbgRAfNHBsj7k1eQiNdaoeS yNujO4O4hN86dzA7ux1Udwoj2/QEUF4xqzSjrh0ol+VuGih8wqRpVQ+n/I8N rGmhYXH724l+uBaSOIsNHMOqnkL9Hkj/dEOjx4gNk8V1fxUHJTiWubYh8hIb GAbaA/+u5iBLbdG1nHQ2hCLJPSm2Ga0+eWy8kM+GqV4bHUxpQrBi6UYL64n8 lIwRle8CEOldv3ysmQ30sOY9m1rKUPR1m/Ptix2gbypxYD8QgO3PoyUtNzqg Wjf5zMUgGUSNFvzaF9YBNssP7zQPkIDt00/z5J90AGk9R7w85BIa5PsmJ3/s AKuWOVLHci7QuqsLZuZ0ALPsjrK8Xw+mX1H8ViHoANHeIieV1i6gCW/bxy/o BOYCVMwVvsPg2gD2rOWdQH7caX/AsxiTJMOmjmWdkFRRsWSVKuEvDgf3W9V3 EuJq8UOVvYQ+CWMfVfrdCSE0x+LC3VxU4K3dPW92FzAjvbJpptXIiA3U7FrR BRSF1HO91aWQxKXv3HK/CxTC96e2mLRj+n7TPZefdIGBRnYKJJdD6DmN37xf XRAYfrzVrEgIUVeGP9ZP6wa1b7orwoQDWH96v+a/pG5gTtueXrTsI+Tcer7x 52rCt0ccG/ao7oaxrWEpv9f2QNI7LfW38WIkMd2VDhsS8dav906bcSGpxHhr kX0PMH1ri9ZN64KkzYcePzzWAxQXgY3xvXwIdp6anEhgn9/WPm9aRRilV9dB dSHWj1BWRc8tAsZh/+0hN3vA+FO1Y8K0FmT+Sq3al9sDDPWHObsNWiGY0Wp6 sbMHrDL5TROlbcjyefCDzyP2s31preDQBsY9K+vP6nKA/J3srmI7iKl1WjdX GHKAskSyLPVFLrKq1R5/PsaB+N/K0ldCAdJN3tFiT3CgRGP5hMWqAXAIW/XE NpADjpO7dzhfkYHbGcHsa6854KYsW/rnvgj07dcOL/rIAR+7kzNXrS/B6oPp y5W/ccBlq+1266PNGJVOWxDewQFNxTs2q1U46DJOsg34xQEFOnW+28FudMuf ipbTuKDzdoHyDIkY3ELj1y6YzQX6b78nU0sJnZG2wGjOf1xQU5S23GgSQL7T cMUGOy6QIqeazj9aCmre175YOhC4MuXW6zlhMPlgg1bmCWJ9viiadgsh/af6 XJtLXBi65vdp0FwCQ9TGIzMzuEAdP3pWvkUGmi2GHpuzifjOc6Rbmm1Yfbu7 ZGU1gYNJC6/61SGpdAWrZoALnqe2rRyu5EHIlpnSOT+5UL4yr254uBkpZSNW Jb+5YHW0Tff3ODHHtk4E+8vxoHM5P6i0U4gCmpautREP1NSeiy3W92Mo3eiV whYeGFR0LCeTmZh05kzQnMs8cDfLdFjV1wkWy5e/dwjgEfXwovP9wm8Ev1ac E37kgeSv6eB+SyFsfXzVvb6OWE8q1vcSl2Dz8OFGl24epP9T/08QMYju38Vd vF4ekHe83WAsIOaG/IrLsWJifalweJf8IDiYXf9iScxdY52JAM1HbRC120J7 G5kPSa6P8VNWCzgojDg9JDD9tIHH5V1l4J42W2vZfD6EPvNIOBVQB/G34fnY KT7hMyiW45qdUH1wY7wokQ9qp2dpsuYRepPSW7GJQ+BGygHTtR1YYtxxceUw HwxyxRfXEHODyZ1aYqohAHoWqTDs3RdCb7Kl+YsEwNqauHjFpzbwVFH3z1st AAWvXG+Fb+1gN5AaeGyjAJj/jA6b3enF9KV6doZbBWCTpPTi1EoB2jhPf5G/ UwDUluXlSvM6wHiunSplP5F/KLnhJEhgbLh8gV2SABiPVoYceM8E5hHLc3Xv BBB8zTz7LuEvSy5NWWWUIQCKZqu2RvlHLHncfMy0lqizRxdH59wU4eS36wuU egXgvuVSfq2uAGlMhdFwhV7woe396WpeBfleyypeLe4F5lOnJNGMTNBX/xrI 1CF854Y1gbkJuUDpyx/IX94LAq2iR0/pXLAI2VdssbIX6Cddz0dnVUGgh83+ 9+t6oTyPGj8xKQCL0VmLb5kTPLRyX5iT/ABOTXUc9PivFzTV94xlMvrRfflM 9jPXXnCglE7UdPeDBc9+x0PPXlDKrtjxax4PRC/dbdt8if3093Uo/eShTlve RkZ0L1xPfTP8Z60M7G6yOivreoH2U9hVe4jo83zvXK0fvVB9dnS4Z1o/UKbv 8DPY1AfxIz7iPav6IOJ+ROczE8LXfSw959CWhL6dzspRTn0QWj3IX3+kG0Jq l3lZnibygrarrfo5iGM7n+XQLxM4O2ZT6qZemNQcfBBHYLpFgRNXKw5U6y8+ i7vaB1YTOrMcmY1Im5MUoX2jDxgFdVk3muoxVHve6tthfYQeXV7nn9uGW+Xr wkbC+8Bl+5Try493YlSRf1jSLyI/5oCn9UsOsLrSYr6M9UG1rf8JjxsidHD8 37s2RSFoVh2vaFnHxZh1k/Tzi4QQH/Y39Ms5LpbYJd19p0300enzI+pDQnDJ T1e9YS8EvUMt3NxDPai/nm1/7qwQxjxczVen9aHnM6Pd8y4TPHokMyQmkgM5 UxtcLbsJnvgwTLWL7ECahutVjd9CKNeLeB4la8F48aN/5L9CiKjhFSovFYKF SsathGmE732v5e9bOIAhE+l+mosJ7LSmP+grH+3upo1MbhUBbfcDv8nTgyDp nxt/1FoEepVbXK86t6Gh/6/5r/NEwLTNfniyiIMRi//Z0epFoLDqLDs9tQ/p Bw6uDhSIwMLyTsqdcwJkuXpWta/rh/pRx5v+Z4jn17WPdTHqh5KFv9cwM/rQ rTsidmVgPzEvGu89PdGHJeuuWuz90k/4m8sbj6QR9ZjsZXwS+8HYp6zhDU2K +bkfRIGFRHzxuikFa4qwfvPk12el/VAeZZLlOSZGt9HEgxeb+oHTzbl6s5YD +puCGR5DxPlmF/ZmPByA+Cvya/OmDAB9cV9ralEF/rwyJdLBiMD+uovqSiJx 6MbME+b7BsBWxVecpEXMmYDTO86dI+ICv7ifXQmo5N5bfNB7AILV+ZLIng6k DN/t/HSd8P17kF11Lw4tJOT5CwMGoJMm3X03loMGm1z7ctoHQGFk+wqfbwLQ Py/b6vd9AOo3Gv5sjK4GnSWZ191VxUC6uODrGL8BjAvu79+sIYasuPqDx+8N wvXrZKrcMjGIZspfXN3OR6XyWw9WPhRDc05k8mUXPjDssic7k8TgwKN02Oi3 I/nwK/22fDHQeVvYxxpaQdU65t6JCjFIwtL0LTKI79FqsvRxpxhCf8eHXa3u QqtYZ5U8AlNuDXc0KmfDUKvlmCpXDGqLsgNNl/ah3fmhXQf6xGBwKWpToXk9 hkh7XjsPiME90CLPtUKKkhky6WJ9CaRDcfSU3WIwph5657JeAqTGN7szfFPR 126olxNLYBW7mjOMl5Blq2eR9VoCIuplsfsjEShNk0xkviV03DJHKatHBpR8 +cDkMmI/w+wlC/J6YaxZlHJzkuDJGuWqbbaFGPhMo6iEwM110WKh/QBGpZrG jJKlQF3oZciQILqNhKSYKktB9K/STgAS7Jzifewhgd11JkVLv0hQ9KxDuleN 8HGVQ0Zhu/tBNP9J4WtjKVD+aBz9ZycF2q/GKVf3SCF432uz5B88iK9cG38j VgrlKYGr4l1YGBrmYX7rrRToBnEapoMMtLJertb7XgqkWo1r2nLNcF099sil YiK+Qs3r/tI6DFxWtvbhNykwKfviKH5idOiJfBrJlkL+/GUDvglE/4TffLCk Vwo6Dz7+jg7m4eQQx65rpgxcAj9KjNcIsHOSQtN0lAHz57OXTs+6cOh/7eP/ XGXAMN9XvnqiEvV05Q6435RB/kp1yka9AQwUsZ+sj5IB54UZ3/9EF7psaeer JMjAoHJWsD6bjQ6PfhtUlcjAYXzn83n2IqCkmS5ZVCGDkInK2gsGPIhJi/7V Vy2DGE+rs94lveCy4sUXUSvxXeZ660FeJXDaY056dMvAkDP0+eopDtqeqKoU CWVAurpk/ZG2brBbs1ftz6pBUDuZFu5nQuhr/+WemzcNwqTj/xR+XxVi/a35 +WYHBoHitOckZedHzJIGXNpwfBDK/Y+43tcRo42ap40oaBDojNVBa8NisPnK 3MGUnEHIWVFulxTUA81bf1/S+joINiUy3KwpxOuT4UveiAeBttLlP3MZ4ecO nvW+PTwIMbfuHntRxMf/A05K8HU= "]]}}, { RGBColor[0.2748608, 0.18226360000000003`, 0.7272788], { BezierCurveBox[CompressedData[" 1:eJwVl3c8lf8bxpFkVEaiEJJRiMIXSd1SiBAqpcyskEg0KFktJElSJEpWyN7c 9l7Hsec5x97HJo2f3z/P88/z+ryez/26r/d1XQdvOhlY09HQ0Lzbevz/TXCd DKKRacc79a5BS6wr8KS6TKJWsQ1ZSmftm6uXgf6NotiU+ywYX03lVTk6DAnj YaytCu8hIOHMg7ieBSBJ/32kr1qLfU/WimtLloD9Sf5C1LdR8KvOlo1wHoey p+HP6CLGQG3vvoCkwTHgOuNTy5NYiPLKptNNy4vgd6uL7i6xEbkVEnUS1pZg vfnV2g9CO/Rb+tjpV8xC3Ifmu5s1w9DJI9NzQWcC2qXD+A8x9cIdhiPPL/DN wJdEu87Fv8Owf/zqhcz1cSh54sPG9DAP//3N6zX1XQQq4UB18Z1B+NxoxqrF OgVKNZ25D7fuGcrFJs402A40SmEGKnmD8MLqmzhD/SRkcZorPiNlgbaWb/3D 11S4+30g4/ubJuRjZDi84/YSKDRks0jZtGG3+c9YmF8CXD1O1shdgIe/auoC ZvvgSR7rXZY5Agoq+/GebFgC4k2L/JfZIfi6r9BO9eIC6HbpH2JpioDk/LyG y+1U0Pmh2HqHnwy9bGwMPkIT4CgV+SnoeQ2GS2//WJ62CHY+vvmEXRPQ8dsl Lo1tBJq35ailbSfBTgfF7UUJE4BdYhHPzi2AZKWS9Sy5D+67/Fx7cIYIqpWw qTY/DXveH7zzU6cZDnozBOQyzYJPvuv5B7WD8CHK9maMzQQYnHV78IB2DNyS I12EJUbg9gLT2Z3L1bAdBj8MPJ6FJWFl3tcNzRhicWYlMXQRxvO3J9mNL0Hg ffuIEjci5DGNyj3+3gUCluaODX2TYGRPm5xiOQ955j+ECl/0wy+yA8d05yKU 6pDJ93k6YNL9acOsyAQIx3/bUDeggIVMFi1DQAew6TjvIi5Nwi5nVae9FZ04 Ykm1Jl1cgpteuV29vl146tSZkw32S8B822lUW2UOot/VPllv64eDLgXWUrdG wWSGXozJfRjscj519VV2wmGFA20NqxPA+7zRPe7rGKg8X0867kaBlQeLR+wc mvCVWBXDIHkB7rtlSqgY1YG8itd/Ik3TwJj+hxKIrSgoE/Xw0MFF2NO6nnPD dBxMl3hYV56QwVrF61xdCBWUPOa8hJy6QLjBOE5Wrg2bKHSHNNcXIMK3k7Fd sBOFpIK4LZ4uAvHuZNfq4WEQFSJ7h/kMg43IS8tOrhloT5J40WvbD7p8f1V7 +itQ5dPXn3uiqJD76Gnot1MLIB65sGrT2Q7XTGc3SbzLcPv4PipdXAMEX6ie s37ThqV7d5w/XrgABTXMw0krMxAk8C5ppaIXzvDdt4g+kIsDxuI1GkHz0Gr5 9tHwbC/aVmozvm5fBJ7OjNIfO/rgZXmRberKKHxjTsz/GdyBzadORliML0D0 q+4VB716uHX/r0lr6CRosv1rd9GrRW/3jWQ9eyrwounXGNlsSNRiv6aSOQ27 31vlGx5qgLYTKw9EZSYhJ6efzyyjCSOXOncpplCB3fV7aMLmFNA5Vw186+wF Jte0yz0Hx4HNViqErDgE587pee/3IAFKzkd5Kw3DtVdGgvztS+D17D8lmZZq WEqX8O+5mItPlv1lLsrNgfM8twMdeWv/VPO9l9mrgYcpv31v9CiEvFNd0R4f grcaxFm25glofqvz3435PuiKTuQ5K9SB9bb1jqYSC/DnevyoFTsV/O5GC3YY EqHqikAFv/cSpL1bCX8dUA2cNN8NObb2cthShPGayZYu3aWKWEfm4bFjtz4P uQ1S0u/9N0jTib8uvlWrZFqAOu4Prx4JUqF5iIdfTbgNxC/eco7m6oSg2EIi L9sosM3Sl76wHofSD19UDWv6QCz01d9q+m6oOK7y4MKNEdjsuhVyVn4Mbm1X auu82w8JH0zFHhsNoeEpISUhpkWwqlLbJuBahd7Khy4oEWZBQONx7jjMgLic YrHax3YQvLW5tvmlGT9L+q+c3z4Pk8xPfuW964EG6fiWQ7uGodH1LW9d4Dyw OXw7NTbQAjoSlJjTihV4xuKYpNTiDDz8fqbraFUkrtw7++9lxBQ0VGje1jg0 AVGpdpfCj3RD6b8Tey69GIKnXlLyph0kYNvg3sPqMQV8Yvf5RZk7QF29VKuU mwrCFnIf2bgboVQ8Ov9uwyJMrAhEWoki2DXJuDoqTUM4JSMvPpEI/wa5LNqn +4EvVydEVpwMajXw11OOAj55k73m6QNwb+dtL6+uOLjNlNn7XH0Cxq08QwW3 VWO0iMH+CLEZsAm6adz/cghaL8hrsaQPAXujx+ymKxV2dlCo4ek1EDqw0U17 txXPXyflsoXMwn7q5cOsvU3QSvj4n7DnCCxlytteop8AIb9t24rvbfFoZX4u 2mgCGs8JNrGxdGyd/52xKnkSfpnW5MrKE2F+3VpS/MgUjKV0CJkYt4GW1PdH RbNl0FCgw6IaPwpXig4yjn6mgL/AHZI7tRd0LF8arOouAPVSO8eBhlL4Oy8g Tf4zCb+tnTnalNrgwl7mBqNHWzz4IJCem9wDF+2P2UgmpkKLz3UXo40xyDzw MBB1+6DlPw8JaTESjHbbMUcrxMEc6UiDZNsYCHBaPFmVJmFv8+s8sKZCI3VX bI9oFmy+DfghtjYKXCTdwwKTA8iixnS/e2kebJ8zJZ9mmAKhUYdoWf1WCCgc nNyU6MHMvQLDR8XnYOBayMRRnkU4Vp7Xkj+YCqOB1ZojPwfwitI/qVOq81BO s/2HVHAbPP7anyd9jgyftBtiP111Q0O9HGPl5DHQP/Fn5njKArQK55/VVE+D 6nP/8RNjxsH4vsPr3NpWsLqwaNThkorJRakjGUtbHD4Qb+kT2IdZTrUVclv+ 4qjtlFW7MQ/JPPuJMhE5IHNteR/Vax5uRe0LL4rKBSEC7faDj5ogJ2j7LeoQ CQ4O8ibtvzYKx3+4PmA4Q4CrdFwZebdHoN3T7kyRXhtUZDO9Ld3isJfQ7zQ3 yZugptidzrwwAjucNCZkhQnwTzGG9VJJBjofPH/YIXYUXigV8NzNoOAq9cvU 4OIc6Dw1UjCxImL1vS4nxuJJ0GMaFOm2nISvK896/PSrIPRkYTxfTQ3wHRtS ZXlKAs0B/r4D3AXQ/nXT8XA8Gf7zEhGWoqsCMMyBlickeC79NYlDeQCZ6SPq WYumQUCCadesahGo29JP0veSwPI67yN/nhm4Rr/eeuVHFpym4/qRvYcANhkv wr+G98H77RlHYy4VQSjrAtnYnwQcmsYHua+VYq1o2WpH0wic5eq9qS28AKVC 7cEZg/GYmLVded+TPgi54nxey6EdWPlytRuNCdB7ZXFN6FAvyDDHvXYMnwI2 ecltp55lQ8FpNs/6R51gqt7SwzzWCRX/3V2N8xsFyX0BDGFM1eBG+lB4dHEE 9gnpXkyRq4EYwbrfC2vj4Ew5dl3UqgTcNN+83t/fA4cvG514MbSVOxy19gbl DyGn7MUZ1odT8OPNzFPDLBLc7h0Kvn2rGYwys+PlZKdAcc337huGFJgYUrSI YRtAg/Rm2p9Kk2D/xdFRdI4Cv7SmA5TO1MCHmOGZwKgZ8BKmacom3od0y8XC ezIjOHeAW1xfdwY8jc3G4ix74TbdR0mNDgJ8kkrnqj4XixX23iy++8mQqUvD 8C1yGG7mhgzCkUogBwtVHfk+jImilbsIMdMgSc9fbC+SDVm4mih+bQBqmKVf sG/lzH5JXv2m3elwbzqF6iK6la+c551eKRRjgF9zRMa7bqw+Mfb99YlxYNQf zJ19GAP182Gf+EYG4ZyEu5vgChlFDbv4bHWn4EnAQY0T7L0YvFl+XtdwHKY+ cPFKp0zAS6GL8vb/4kF5Tsb9qOgcqIQYOMcdTcECi5SeDyFFIN4SfevEn164 xT+w6LtaBF9efdlxI7UXhKtGrVul8pGy8K854xAZJr5Ise0TnIXSEpahF18S 8TJLO4+VZytkrRNemTS1gzLDgJrx9jFwbezxW/+ZAfV/zF4Ip9fg01/zLwNd KdAcuXMqkJWC0f6MRuVWk9DmnfVa4EI1UjU5IgLFKCBm13jV16UdPaRVPF5+ HIEvVa7s5gGzEHzVp475Vwa+PTnOo+1JQc6oNybrVybhYsTgNhHXRkjOdFPb s+UPJPXDovcHc1DveeMTWjUSlGj1GKlnBONVsnKSns8AyJ8J4Gaa7cc9HuRD SuljUDNW53a/oxY7xDMyP38gQ4joQFuY1TA8Pq3SJS6dAx1BJq8m3kxC6fcW w/0ysdhcPyc8p9KDpjndBaLhI2Cg05EwcoyMX98oumYujwEdXSmn5GIl7uj9 0XN0dQiqX78kFGyngN6Ul8lLsUw4uH5r9ehkH9o53x4/+3ME9rrPyn8QIuNp 46qSw45jEPsrWGKAnwpCLheHppTq0EBP6I7ssTKwP/+HHGRNhOkCt+sZF4mY ec8q2z2UDAEC/qou7KPY/quqnYlvAuZv0Vi37iVDqeC9QapZGuTddwqz5RkH 0rPw9XHLeKyxYmLlFSYCm/WjNM6IGljo0yeVhZTBOu/nmfUsAiQlcK7R/MjE PIekmbBTPcDKHC7R/aoIPJ5lbns+TQBKXez42oESvLSk+cPtWC/ceMavRS9P wWVDnTsWN0ah5LaMWNDLZqzHjZ8f7w7C2UTqxyMCNejrwsMvtdwHmp/yM0pD PGAup037ekE7aNteeHjGcQQTkyvZ85XGQE4ieV85QxdMTUkdyUwpBC++d7zv 1ofhoSTJSWBfAkqfqLU9v5mKGquph+IVO4Ho56uUUDQLX7jVe2v5mjDbkuxL 83oQO44d3fc1kwK0m6T1ErNWqPvwl7rzdSXQUXzafKwJmBlnZ3Pg1gB81VYm E7gGwbye1zNANQpyst4ptgQOoGf0NWc6UQo8N5XT6OYdxt2i37hLn49Ak/EB x9Pew6DMvb9qai4ZVaNu6ciPkUCwzGc1N+QNnrp42KnEcxzMOS2nslzLkfY+ 3/LDew2gpybBUdJfAd8rSopMTMlY/toj779BCrS+cjXrGkrAibK8sJOsRJha yTX7G9AJXgFHD9s5poF6kfHPzx1fkeE0jK/OE+DkHmrWdOsQTvtonfRVIcPQ LrkYhugRdFe+r+e+OAzSI8yr67NjSOltSOs5NArON6KiGLX6UNd70EHcYwgS mTsnRDR7gNFETU/33luwUghiPqJGwQ+nFAUKNChw6Xjd01a2GuRTkMhy4+sE mx8audSOKTBT2RZ6TLgFDQ9uk7DpGwWl8yqv+nMqcOdZ7TfHFTowdnHEfFtg H1yxa1Jcpb8Jxt6VqjXSzVD/8cmF2po5kDDbWbz2uh0/tPI46jZ1Q3R0wJre aR+I9r9nRKLXBMfTu+eowY2wn21NjSJFgGsH2GnO+aXDUrazODW+D9Zl6N29 dkdilMZN5dHVbtT/OmJ2htAHOzhMrYuejqCnd8w+YR8KfFOgvaVD1wrn316x nHT/CZfn64bupn2HyxoPJFlJ1ZCwI2rjiCMBwjtfwu2ROFjJjNsRtTQNx5zG ucpriaibZCxjzzSK4TtOSFeabPXF8aVP/7GNoIDCpWqucjLUNeg5LyqOQ7jJ yS8Wa40YqpkZm242B1aOiWFD2IkSkWa7/uaS0C+ryyowcAjod/LdvbNti0sz Ux03kz1QbypS/VBfBUpJflu6a0GAdlMJ0cKOLd6YBnv/SaxGxbHYPfnSo6jl WCWUv0oGY6Pz5zwVJyAEv7J9mm9F70oTrh2+1Shu8Nvt6hUCbPITGpoFupBO PXR+k7cbUmfXXihSKTh3W42uTpsET4Qjs4RCKOiiyNTLzEKCkIN/h+/1VeOd kIjIy7IEmBG/P+BwrxlZN7cJl3ITgf/E0J+jRn3omsrhfzWtB97YyhKPyX9A 5UUlYpF3JSSwj/6w8+uD4+tGblGiBbjGEpo8kvUJbZySFPvtK8DURldC8dAw yvFKu1x8Pwg/GXjUn0eMAbX64C+hKgKSfwsaaP4lgO7myeJjut/QV4R/7hlp BPM0FZ5rVA+Bzo6pH+YdkxCscspM1a8Tk+8FP+6T6oIaOsMLR23ycZjmNmtt 9k8Y0rD/wPA4A4pjdz5hUJiAgAi5MDjWgRuXmS453t/Sm60Wi0/9Rxzy3vfh 4wMyUmjSg1bP9ULPEUv/fX+yMdL8kMlnl3Kwt4Mnro9a0PxIy7qaajPo6sl/ 3+0xgMb3DDIC/3bCtHVb7oeQUXj8fo8aQZ+IFe7u+5OpDWAauPOdz9tYPLzr aEBmfR2k9hMPZEvG4EmDrkTv1UrYeY+eo8EgENMn9R/61qTiEdrm/TVBRfDM NftfQN8A1jNf6Xo91AHRvrrRbldbwGCJKMeVm4H/fY3z/9o3CPWnyolHaRvQ jcS0Q8RpGCZyymtMLNowXJyDrzQ9F/xefl1X5/CBSSeb9YcuFIhh0S2w8iDg 9icHNj+FtaLpqcV5ha/1EG0Vc9k4bAIf1D+gp5sZBKY6yWg2sWnQ8B6za1ca QKeYACbffTnoGyrbai6YBRMXeAXfkDuR5nOcQ1hoE3C5xYm87+iDPHr23Hym Jkwm/9buacsEG8mEGf3C9/gNeux8vcfBKPCl1Z/lHpz7mcIaH0DCyBehRFPR djDorOHzOkBGx4F1yqPcdrgZZ/JUJqsXecZu/LY+3wpXNS4InzakwJV+4o3t ge1YpHKk7accCb6t/t4VwdeGvMcMl50vdeEL3TNvQqIb4I6ewu0X39vQLYPI VhFbBWoBEk4L/tOQsWO2mVuRhM5eAt+d9o0Ce8Xl8VmGHozY6VC35lyJ111e WW2qZYJ4/h62jQ/R2Cr+zIjH5jbeI2SXGF5qBRVpgvWP6mpUao0/zVlQhc2E oRPnUtPgezGnWLJ4Akjan3svpp+Oj87kP/CzbMOxpzfCHrWWAA2avtbeS8YD 936rjse1AueBMBf/AxNQyFXm/fXYEPZD9ZLzYjEeSxoh5511h+2PLQwFRKvA JkVxo+BAJU6/1+w0jg2G+qk3eWkzGbjhnxLPUdQHL3/QjrdcbUctZRm9XX9r gfRgNNfnXg1+9TjkX3uLgrKv09LvubbC6cZ/FvrlE7DXZbefeiMJs347BHDu 6QWxO8QmAd92tHn2+wEpoBCuz60rMslX4KmN3YFlZjP4eIPENcbfBy92bfSa 8Q9hLVH3YZl6LRQpa/mXU8bwkfYJj0j9dvh0oP/pNpNC2M128w2jTCWK+GyM b5MtgvOPxiE7swoFCFymh56RwbzMRmGdqw9Dxxjv9ts0YSurvPxpoyBI3BtR ule9Anx0TbukFRrQ6cUZRs4zA3A+jHZG7EIP7ll+eONEahvSJSWaFczHwOdu +WOxnyZA+M8OToYqCg5Xsal/zhtDh5/7+HxbW2Gi5j6HrPsQ+F3pURmS6Mez hrsvZ7NP4c1gWiGLMiIQcob1I0RGwV3T/GGMHxkLzx7aWM0l42xbTN7Ku63/ uK5pwna2D5jtFWZqufuw4uQ1inb/LH7ZpZz1b70TChTXHj5mHseOvLyof5UN kHCFj65vXyYYX+zcxvinGZ+/8fM6/moGT6r2X35A3w6+12qCfbLJuF4jwq8w WwwFZs2pKne28tzjaUOe14XAJ+Dp4LLQjsGVEgyHy0JwjM94o+TBDC7vnHGq CySCg/e5TiKOAg1NXa2q+TBifPzRPVt54iztYe6gahLS8L6syy8dASnrwP/E 9gyjv2FR+bI2Adf3XjYMfpyO34hlDhl2I/Di2dNck+3DyF03J7DzzzDIiQZF CxApeJe9oNYkoQ3WYjv43OJ6UNy03UP3wzDyX5laF7ldAuJuHnq1o/mosO/8 o96mamzo4sxsNCKgPXPxV7JnFjpcpHDXGQ9j+LqwjrZXERxge39g2zUS7sxX L8jpS4b/pvtCIt/NoE+K3cNnqgQoqUsY+KndB8Yaa6F3h4bQbvTjq8ot/c94 Bi9wtiWC95H4E2RCA8xqqdN+z+5GFhOCb1nWAJL0792hjruDR0DuevrzAaC9 69Ripk7GXYnMvla5o7hTlnZmZm8JzF8wLz2rWojJhLv/MuQb8V9Bb3z8jRYc 3CFpUXKzHNddDkQV2ZZikfbkv0yJBuwLqY8m1lThSJIsSzp3LSrPKn2RuDoO zKf1Qve1jqHWQ02JTxyjKMk+l/bIJweUOQMl9zO3IMVvbHylqwI1Gthpjji0 AqN12Por9378FVYVs0N0AAgCgUTFJTKGZDBMWd2oAW4nCoQTe/DVeZnzXKUj GFTsIuqplQl7i5eq2ZSmkPfqRLlFfRWkFVAtD7HP42kds+Ap+1aInXNVlBfp wl8szF5z1Dw8be/QMsNEASlBdgs6GEHhXT2K55rL4OtbDfrNIz1Ic51PtuLn OAZlZhCubOnS7Zro1G2OWiggwYRJTx9uDmkfa/s8iqQdsqrF0ynwkq5KLuAu Gdk8TrS3C4Yj/ZDhdt+pKdSaWSDSRpVDdUeSTqUmGXK1/Oo3F0aQ/ayPcnPI IAaWEl0vaKYj8aF9i4Y0FeUC/5sczW6Gk31lvgKKFFgtDHbwDB9Fi3LqDYO3 lXBTfiNJTLkfzQx3r8tYNuAIs4G6/5Em7Gc7USUk2QnmE2eULXPIOPLM75o/ NwnT3u63uvEyHRdVQvalBfRiuI9e1zqpBKOUsf6BChmpM55xOXRJ+D2Z4Q7j 8Wq44qjhyDA2gM4Mu6PHI6fRmRDWbeNQChkBMm85Xeew6Lmgvkvt1nfl0l0J SnNofmrHq8LFKlhYvOR8PIWMCWPvfjP+TUY38bWe8VkSlg6E23sZZWCKuU5k xVUCan1X4FJ62YhqnNz83M7d0Li4eXlGfxjrf8i3ctS3wstrxi8uSZJxP5/3 o/MCqfhoxUto7mkn5n7iJHTZBaK/DJetbX03XhDj5Ss5NoZedjMadXtcQJp3 Itrlbi/uzPsrlP6xCtdsinx9KikYytPfHyeRgVHzCw9X9IYxUuE/3xj6NLTu xRYnp8yt+zU+mFztwgsOm0enfsyiikztffrxYuDnsPieljGHfl9sZ/cwlcE+ jNbYfNKELkz6NgaubWh7zGTekkLEVDVd4/rjLfi37IgH2/EJjCZfO2Vi4gu9 Cnz2CnEFQBhbMZ06M4SiYkHJWhMjMDcu5/mGMokZG+84/uV1wQP+ILH67BF8 /yIq6v3yFL5sTnrOtJEEnjvnJNOoY2ieX5cgHhaGmVG/bJNuDWLC4QRPo45K VN61NjL8gwydf3jkZ4MmsD1a78Ou6Vq8PrLrPG1wB17O5Duk/q4PFCwGH4+4 jOHO8MpRmzwKJsc/Dz96sgTplFr4JswHITUvtkbKbBzbpEicoj5lkKLO3vT6 Ahk/yjIcbHLtxuclb+e515sx/QjH6sGkYRA2jduzR3cKr62akKoch5HtgnxT MW0JStSM8d7VrsW3TJfCshm68IYCM6MR/QJy3iLqHXlSDos0wbdNzk1jaahy kU9MIDANxZ+4rt8G/BLs53rzR1DaoClbxp8AhiUROxrmR/BN+fDZ/ZrOQGf2 QFl6OwnHbvM91JpsQEmRe7mBk104tLPjJIdaOrijpW6OFRl3DsldUY/px/FU f2VpwVa0JnhGSs91IKNN2YoHSzuqmQwGrOwdxdCk4FvvCKVIMhGsDLdvQ9K5 YeUWxU5MCaDJSzBqx4il66ITWz3LSOuqiHlkBwj9kxW7UzaGzqEKpjp+yaix wPuv1ngIK9zi+Bu4SGhvUFN/UKEFn4yv3rAdi0H3nQlxs1v5oEwvq13EYxLp L/585cCRg4oJMeNPLUj4ctCxYPB0K860nM2JUmxH7wDz6xUNXWhDXJlYWGrB /Og0Gj39Xrztd6hegLsf2+JpB6KsiXj4xeVut/AFDB750evonQmTjXICUlt8 6jyYyp/5qxRLRZa4u/Wq4ENf1UsFulEc6hDUZ7rSgtco59GPpg9pPS8vn9jI RuHK/eCduuUr7XTKFjJjmFf8ip3+YTVeVvMVvWIeiw+fhddkFJNR4QcfjY5T F3B+NbPWMp1Eh/ytjhNGRcGzvzc0T7yCrsFLC+OfilF+5Nt21R8kLEz6Q9ca WY+We8dSDooPYhybyiddsTpk/CfRzxk2iMlH/AccYifRUMef2JtRhsYf14eP Hs5CvhQ+/4IGMubNBMvSFPaiZ7lRRXNE11Zv8koczV7AtG/bywbuRIJ7hf+3 Bv84HBIn/OJooeCN83oFlBfNMHI3WvsG5wTu9Ly/48e/GQz9G6Oo1JCLJUWp r5d+kOB22obeqtUsqgkeObgrhYKjasHuezYI2MxE65lkXY8XWC/d+shCwutb 0Ur5ExVJ7zQN/U9+QkKCvM4B3im02TWWXva9EvN073RGsUyggXlxewzWodCH 3PDs3nlUvsi+q1UxDa3SwlfXIydQnkPV/dm+OiSY1GalrU/jshXPErNJGZ78 W2WRlDaP9HrE3KvR6XiAfpeb39AoHuuK8uj+2oJuy9895hXmUUW9tnZ+dza+ Sp+fJpdOoWDlM6MpmSqcc/rdvOA8gDP+0iYlAd1Y+Dn5Y2cJBWvPHDF+NtCO LZqyeWEr36C+7dARrr+juP5Q6vKd81t8ZuFtuuhZgjs01O8lli+gyjkQ4f8v Egt3PFHMu1SGBmJNmoNXhjHeVph9V0QfljPYHTJr7cMnIz2HrDrmMc9f+1aD HeKvy92qfYIDaMr0iyNzWz+mnVqQXt8k420pn39lDt1YGjFWr5NExONu9Y6D MySULp34FDzZA6aWsdM/JebQh+Hxtst7y4Ekxsj3xXMSdf4QWh78msCEthzG hu0E9PeS/xH+dxrZjsgVPlZuQGG52NeG9/phpLa0jAbm0YSj05pXfhrlzl4u d77YhAHtTBl9lFZ8MduSPf+Ogh/Jsmnh+iNIr8HyPux5FzpVJwXTfJtDPbpf v88H1+DFrycYxxTnsT9IYDBOrRoF470vk7d6aRJl31dd1SlkLPwWHGExj2nO pKzKgGr8yePxUsx5EfPSI/ckns/CNcGgcO22OWQj1u9isanF+l3bGo2gEWca ZlmUuofRNmOCzoyGAK5Tj2WXB2bwrZZtnsrnMpzV+ptIcR/FILURDVSohmzN T8YmBtMYrB42uLO6A+/tuqVh20NGFZGGKZvFLohTWfJ9w7c1d8PTXXsSPyK7 k5nnbOc4xpDY5UZNsiG/4mx6w9ZeCiQlbzB6F8Hr9+w2NJVTODr8RYa7GYEv z1DYxGIa28Rvz9WlkEBnan/B97sLODHVG/7+1RhW9j8asPzcjRH7tSMaJfvx YnULx/4bZEy56m00wbrlX7rWmZ5qXfhmsdQnR3eL38+M7Lltq9Hd5Fc94eQX DG9o6xNlm8SCWqYNF84SdL2uxTPmN46uv1+my56govLu5w//DDag83bGL9Iz W77jT1yW29aDycd1OmJeTaG8bhB36OEOtN9mnvR0vQErhcrivzCN4famm7FB 8/1QW3J//afhAo5Wc+kXS/eh0bP+MLeXFPQK4NB5ylIHJYpH2JaOzuFVump6 9YQ5DPIfMn+2uw2tymYFllKq4YjIuJaD1Nbef9a/cPHdAl5W1OdQe1GPB5vG Lwvs74DQL4pT82+oSFRZFJUN64GkIMbBrhMLyNb64A2PegGMDyUYdGvMYkpJ mfBm/SgK3bkQ3B+11d/vTnHfIUwhfWK3jFl/FxZyMdDY9Cxi9/nZ4Z76ajRX qP7KbbOE2mz32sPeVqK3rdP2+OY59PzovGa5px0XBs+yPPlJxSKO7YSaGwQs n5VqvXx9Egezqpi+R/XiRG02XR0hG74syY1Kvp/Fl6xW0m98S6FEttzyps8c Cue07rYpqMTJi6reJxQnsbrXnN1Ki4QBlNHjJu0UDCtMyYaeCZQZ+vudytCP ugWFTWyJkziyr75m91b/+uVrV/iPOo2DoZ2MG9iNIse9FRv4iCiydv6dq+g4 Uo9anHwXTQT1I5OOb6QWkLH2CnerAxUN2YZuOrwn4vza3keei1Tct1J7Pc25 Dd2a/rmW6A3him//vOrsMCbalpb82Tex5X9HDbhFBlHElt3OnbkW5KWeOv9W pqKwx+mBphdbvm5vVHNNnozsEkJVP5py0OPbhkGv6zSa/y0WZmdawDuaQQzH 9hFx28/4mnjGJTQ+31xMm9uEBR3ELq6YImQhH96rbz6NPaaaNi7PFtD/cPCC nVsbPpVW5Yu70I9hcx9/91iOInP5mR5dn1p84n9J9OzuKeyVHXV4tp+Cf0o2 ablgGFMcc0Vo3y9irRNZMTmpFZNUj0b8Ii2iAYv77saTBEwrWg7XTu4AFYl3 B5KtFnHoubPPmQuvoHBbgktK4xxWZD3xJM33wrL7l5JdsksYzSJnhreXUS9B us5RoRH5zu6NWA5ZQsN3pd5D0IpP6m2cDjXM4PrRs5ZkrX58rkk6vHh6BHdO rLlf3T+MXH7Dsbn80WAclnX9x4t5nEm7nZ1kNYlNkir81U4kVMgXkTrXQYQk p4elsl6LaNXsWP+wfRQbHWlwJnvLB35HNtl3LWHlXKViIisBU7gOqtwitIH5 A6sT/I8X8XjvsssWObDj7r9Gt7Rp1J3+aE8+WAGqle9MXyotYGK5S+RJoTnU 1cnv2RPVjwo2/bamyZlbOXJ5VPnHHOpXSNB0f1zCsStN65zUNix6fPDEYFoa hqeuhRpQ53D7g1f8bKlxmG4tfZDjyTzWPHgZ5Pi0Gm5ZbDTELi7g++lvBRqa bcDHXNsqvL6Ie+youxkWukALXWK/ti7h9oiLvITZSbzXePP8lzoyxi4y9l5u nMc401x1l70DeHGSfzjo1gLS2JKY+XJ7MLAqyUjFIA5C+W3f4hQVZXqe/955 cBz1bty+/rNgGBWLZ2PqypbwMdfzgurP7eiUHxdi9awKjG+evcQksYht4T70 bYsVkOFD+0mfcxFlpVnt07bmar6N1Ymxrwv9PNJHGpR7wVQhc1bafRkXOENP kPYu4x0WpluHatuR40y9jxgtFWsLf7OaWA2iJ/WVBml5HDMmuL9PTQ7jQcF4 643pRZwTf9ulQe5CQy5jjqJHC2go1TxVrtWHnwPVC/235qnkBTKW3Z3Y1beb MSezBa4NMxbTeC5hTIfocOZmKORcGNhD+3QBX8ec9TGQysT+n1f+NUVRsSdT dpssJQvHGF7dniqmoj6pbVvOm1Z0qXq3Wucwh97LykbvuZcwQYHw7IleL2aE sNu28yeA42PX7ON7F/G5a+RIQks97AmJ1fyeuoSrPFH3huyJ0F1u5rr2ehlN GFwu/9vfBe9snjP84lrB1KHiIJPRGtznN994npOKfklu0bZ7x1C5V2o+lnEc jSanthdeW0S+6CJVvowBDK3PjSwX78MvyqBwTWsGL1yWYVF4s6Xr45mBLAFz 6PBBf+oXzwrOkK0tT+V0YWqcxN1n2VQMKftrIL9KQkrb7Lu4NxWgEr9i2By5 hFbUpjbVuGHsJvNkpsIk+gqKVJ/Ymq9p7Co9b+IA2o2QKs8VrKDuV4f2QzZd CB3/7P3XltHYMnHqplwPXv2A9nnPR7Dpy+43fQyTuMnN6frVKwyzhDLOnFNb xP8BkxkYXg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 2], (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (2 + 5^Rational[1, 2]), (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (5 + 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}}, {{0.5, 3.0776835371752536`}, {1.3090169943749475`, 2.48989828488278}, { 2.118033988749895, 3.0776835371752536`}, {1.8090169943749475`, 4.028740053470407}, {0.8090169943749475, 4.028740053470407}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.2484884, 0.3863264, 0.813373], { BezierCurveBox[CompressedData[" 1:eJwVWXlYzN8XngghhCgKEyGEEEKcCS2IFqEoBiG+RRKSaFApQkpKlGkfCpXS 7kz7qqZ92memqdmaJkoLqd/n908973PuOfdz7zn3Pe95RuPcNcsLk0gk0hfi z///84WSyVZlMiT1b4uuUckE0l7bRXMKZcgeKH/xTL8NaU5+djVeMqTtWNIJ c7tQO+8dJfSKDAO2bNp9/2QrCk3JhVn2MuRsmyKRvctE7TWHxgp2yVDpe81B taBG5H+xkEUtkqH/tkdri8IEqNr05ccvcR9y1vQ/iVVhotJFarhzWx86t/eO 1R5swrH0pmhOXh+SVlE0VlPeoMfsVJvv0X1ILXJbJ/8yCem05pxGeh/2+wcF aiwXgWlEY+TbN33o+2SS1UPLeqD2lO0yeET4v/ReZqRQhMpVN35WuPehw+h8 64oBLpLcLdSaXfqw8unaU5M9+yB19kqrR87E9zikzhlhtIPW95GKF1cJ/9me YcyWYGSd3O48/1Qf0nPkmx7lI1r71e+4dqAPTTsL1A+lSJFzc8+uO3p9yHJM Gmve3Ipuy/WWx6wi1p9q37/rXhLoxh/uQxUC938LWXInGdvsvFadndeH5sPp 0yYpFABj+IWRsQLh//5IWfVrKeh17ZKZ1Eqx/pjzzb+nBGB9/ei7jjwpkroE W0O1H6OSnf6R/lgCf+41ld19AqQtgpULCUy1tHkkiGoA8+s+kotvpUjj7z7z qLQTybf92wteStHajVUi4XaDydaL2xY9lCJbMz648UUDFu7hzNh9UoqaXXo8 7wYuys9ZvcTuuBTHeG2nKDwJMholxe93SNF8Fhgo3WOjY0e91jptKdIbq+Yu iygAVrfG1rl/e1GndeEBLq8ONLN+JTzv60VGbKzHgEYLDK6eP+0JgZP0at3+ nZECvfnr+syaXkw8oPaddrQPc27sXPMkvxfbthR28O50I/3AEpFRdC+SMtfc pFSGYaHPj21bdXpR6YFcmc/6LqTbnAsqQwlS0nepnTiRi+88i1u9syXIpFJn 53d/BqGuI3XtUwlST5++4aGVgjp/7A2e+klQ6emqfvLBPNTRUplm6itBj+h1 bzRZRP2Y3I8IdpcQ+bood2hjN2j7bOGmrpfgyIvW87K/PHQmG/yhaUmwfrRP NXl7F6oeeO9SNVmCbcXdvGUKArQdnOFwZESMjv4us//NFyB/qPLa3Z9iDKAW 7776oQJffXfwedImRi+v0lf5rl1QmbD5yvIGMfrGXil2jBfiK+fBmdlFYmQa DpNuy0ej6ZyeX1P9xDi4e+xZWT4HAuim0/JcxOgWsreaNdaIWlT/y8NHxUhy 1TP8ee4hCPeMm121ECPLSRZSUl6Og2dxvs52MdpOTnfU1BKhSYr+9PYlYqTt 2dC+bWc06u9TkI2oiZH+SDp0Tp2FI7csruQTWIkTOWgh7gBhFetH4HTCbmBh MPdhJ8gbDWWrTYgwMeT9ItVjPEg8sizCbVSEnJgvpTcFHaDTUv27o0WErJ97 hMO8QqDZHE2qaBChsCKavngpG30V9FTOJ4uQzh0LmX2Lhdrzpu7mxomQvXh8 gJNdgzqPbycEOInQf/e9bV4rxdDvmXKLcV6EpOdh1Kx/iWA6Z+uVLcYiZB7o Cb+r+AH0w6V/tq0WoXqwsHlNtgDbZGXk6X+FSPIszk2yzIWkcOPiuR1C9B8Q FDUF9RLfceSCaokQtWeUzzRazUc34WXFwgQhUktm+SqdKwTTX4saZzgK0UNj cdz2pRLUL4vqe24vRN82fW6Cdhum8i9O3DwvROGepwpfqiQgf65/YxRFiElR GU6v14qwNLux8McGIeq99A1fBWywt/VQH5grRMfK71FMHy54OC+tqPwjwJFV +75EhHFRtWxg1fksggcFKamzXnHAusvG6ouPAEMXlI0Jb0jBYzP3efAZAZHn u8lNtj1QmBZ9XN1cgJo9+1hLrvKB8fi/wTdmAqTZURI+rJOAVjJ99eTJAiTn j16IPtqIHmp9bdHjPUjR92WfXy7DttqPdl+He1BrX8HtGye5UN8fnfVW2oNe 1isCMwckyFbYbvMquwedw7oybmp0Y6rd/AFBWg+SvTz1Ok6WY2kJrHSK78F3 mlNVvRq4oGCcmswK7MFCo5t1vto8cOx8NZl7jdgvLMLthX8+khNa9YIW9WAo xbJJbNEMjIesL94KPchIrlfNa+hGfVLI/v5/3Tj2Y+mPAcLP9kPRK2VeN5rL R3TYz68C/RY15pQb3ajufFuhU5uHjpaeE0uOd6PrnPMZlK4eoBt8uPjRpBtJ 8reGAttDkKG7x22RXjdSCp7OfE3k06F9v+9hbcLeub7X9mgz6L2cxP0wpRvd XBKK759qAQefezZz2viobzpk5/Jehg5dO0ptSviY5H5S8efkclRS3qfjWcxH rVM+sUdS2OBoyqQZvONj5XKXZPEWIbDSI5+/cOOj/6Nf+7TeiyDn3rWTYdf4 6KETU3olUwCD+xPM71gQ/mZOwuvxHFROl4t6osRH5cX2685cEqAe/+CDaewu pL6LGH2k1owOL93U3TK7UE9vKYfRSvCtgXttekQX2n5cJXfjUy+Qz27yDvYg 1gc1nov52ggj1aw1k7YROHPtCvkVnahotWLZq2Vd6HWM07hdpwdKi05NmKkS PPkpqTpXPx9KsxrUGqYS9toTNEpYN7Dab8b9x+ehucGHlacafqCWe1nIKSYP fUNb6jNTalBPOHP6xhc8tN6/RXnytxaImaGiPs+bh15lnacywjjof0OeWeLF Q1KYi92WsFYcWzCx8ZMHD0cyPud/PtCKiTccfydcJOwpnIHmfbdQfsliB01T Hlot1h6Ws5BBIoNvJ97Hw3fyISWG83rAP8PP7vxeHoZOuswf7eSg4/ahECnw kKxyu3j+32bUuaT/UWEbD5Nyp72x+tEEOjbOe19uIuJvHBadKapD14DkMyqa BE/H1gScjajCnF0V4l8qPKRa/DGOtBEDc+fFI5eIvq+umH+0LIiDwgd6Az94 XMx4cCrmrW0X6rydL0ju5KJCRN/ixQ1iMP3AE9eVc5HZnB3uxY4Et2nGxvMK Cd2gXZx7R6UGHT+KaqzyuFh6ovGgUZAYdW/ucFuAhJ21ME9Cfwec5m61uIdc jCkq1awuE6L6qR2mpgRO6m5+u1ZXBjq/pbWzLnCRLsvTswyRoLXqgtDxk1xU 2vDXMYTgD1eSisa6A1x0ZCtVTBB1OjLb+txUAnPGth6aUkX064OeyaH7ucgI W7qf4dkJ6uO7khcuJexfVAsuXatE/eHIm0dncZEyb7KtdnMKBlTM/pc6iYtt mh9WHt5L1JfCCq15fzgY4LqM9M+lDxgjngeccoi8HuFeODKlC5WN0gxuRXIw KXQbPXJTN6RKSH5jdA4qnew4nNtQg5rv20Xnwwl/+x+9q0NakHMjztbgIgep TxPJzfxMrJySpcGw5SBzwidoiFmKfN3zu5mGHCxlPuBP3S4Fyq38kN97Ocjp Dj+/8lQ5KLOM08LJHHT+G5QXaCaE/bG1u2cs4aDqIXhjvqkJSpPfzF08hYP0 9GfnMsdbQEt3nzqlqBND9a/3LbNqQx3D7ruKbp3Ix6dDlSEycKtgR5os6kT2 tcmdkj0yzODP+a9R1IHKk5fOnfASgI61QX++RQeqFj6c6NbuArLHHq0/ezvQ /NEUSsuRHvRt7x1R3dWBvXbn1NXjZUCXhPAlpA603rt5ufNkCei0KpQcmWhH 0kRnoNmaUFDVs4y80dyOejJBrmdOAyo8daUyWO2oY5tJ8SN0L7X/4tO8snak Xbnme3fgPZLeb2kJLW5HcvmVhvbUOjSP0hGO7WtH/ZKuF1cOEzx0xWxfrE47 hta7HFr7WoRK2z/6Gcm3I31efVb22mqgvPDfZWbdRuhMI+PNhnXg3Or5SqbY hhntV9clLmJDRlUak9JK6HLNnvLT+7owY++UJf01rWj9r/nKSSoPHPqQgooE Puw6sfo+B8maYofcaa3IDqwZGQ1vx/6CyvHH8q3I/LOFW3C5BPodfF2P/G3B sTLpw+Xq3aA1+vr1kcEWNE9pLnwrLkBrnfbLT8pa0C3mY1nupzown/V9+uvw FtR5UfT8aRQbFHhlKlPPtqD/p94phjECYHfWD8aatKD9qObpbUocyGBf80+V NaP+qmu/bdsJXTB5x9yVjGak16+70/84HZW8m/OcQpuRc0Au++/MCkL3mE33 DW5GkmHODsFyLrg9VVXXf9iMqtcsdX9YdWK/g0LbXK1mpHBrz9eGcoBjV9Xy ekYz2i7f8bHbnQMU8XflzzpsNH232cCMwUXrsKLQSyvZ6Px92m/u3xZgz31I rp7BRuGRS6ERhB633mshx2howpz+46XHP4qx/9B4cHltE1K05f4LM4sB5jBV uj2lCUk3ChLWjdYB/UI+QxzdhKHhXlPv29dj6YUHIunbJnSY7Do6mEzMB6sb t8ovasJSXu4q850NSLu9UGPBQCMqLCJNG2bUYanq3Q/rehsxY9azHd/MxRCw 8Zts0dNGJGtc6puhJAA3jeKRn26NWL9q970FJ0SopzKFfvd3AwrDw5TtM5og tGDtlU3dDehctTvQZFoFWKsGNT6ubUCS2bT0acJcNOn/lPpgK7GvavGS0zLi fuilDnKbGpB6K0EDNGuBpb6ujaXUgNrmEYmVhC40/7XMkFlVjwrxG8xTLzYC Xa9boTOiHq1XKW9+cp6NSt3rOMEH6zHgz+CZxg9CDHjS7kmi1CM15MppDaKe yBEuP96tr0d509+HnafKQOtbh7e8Qj1SxlvWtC8m6vX8wevHP9Uhmf3fRc71 b6gVYjX89mAdssNHvg63C4AW5rJriFeL6gEZgmtz+KCTcdpmbWMtps6W35D0 phtGLn396FdWi8wz3raZKm3ImilLnhdZi75uT11oz1godBa9cXtdi85mSx/K +5UhPaxz8b7gWqw/tMQsdQeh3/68nP7mci3yfb6be67gInvNvlfDK4h4Roc3 xluXIvPtbTvFkRoUFqVIlt3thFLpP8Ox3hpCb94fnnchBGjyLW86P9SgQpfx loXPuoC2qPDS8bs1qDvGfB+1UIxk53vzhzfWoKreqMPyGfXAfOn0RTK9BmPe bdtjcakbStmH5/gqEP52x1f4xfbiyDy3HS6jLNSpWG8+IqxBB9KPwJQ8FqrO mL51zJLIY8Vn6dV4FpoHhTzyed+IwuA/d6wDWeiVEtpX+IuPDi4smepTFjK+ /TBhd/YQ76t1t/IlFtKU02z3uSWhcH3gQ/pSAv/+FBT/NR4CIqxCveVZyIwu /p42nehjG57NCsmvRue9Kz9PhBA6M+Bl+p2YatR7mBW8olMApEvyf9GuGq3U PPfWmYkwqd1t+fV/VRhw58tGpo8YqWmTv2TdqkLaNkPDwnA6JGm4nbtlU4WF h5f/SvDuAWrF+zRVuSpkLmh2DUnkACthbcLvb4QOMbh3o8GtBpJ6Sj6L7SuJ dz47ZUYyHek9v1wP21Vif20BZ2ZOG5B/3st8YlaJWrqxZhkjPNS5umj7f/UV OLKj17yjkuAln6NrnJMrsDTy9QWyURc4x/vXGHaXo2pUgfrfLGIO3/JBMppR jqTKSVeW/tcI5jWdxWTjcjT1jGOW5oiBLNz0JVWlHOnKF7jFuu3Q/yzw1J/4 Mmyz6ChoIubj/laXbWTtMqTMp3J2hDch7c61D7ETpUge33RGatqMSjkF1f9t LkXWtCOpyTFFQF3waYwZX4LkjuHMpwZVQL7Q8SnDgMAnki4GsZlAKdZZfUK1 BN9pX/31rl4MlElfXm59XYxaBQcf3lnRDTTSIZOdZ4vRwaJkaKdlDSjpeYtv lBUhaZBS/XHRY6TJtf0w+lqEbdNyQnzf9AAl4dZLl/giJMv/x3p0jknw8Zya uIVFGLDCnebj3AcBJVElTd6FyDwduyCjMw/N41cuV3cvRFL5nBIb9YdAd2N6 tCoVEu9lqq6Y14hJfu3rDg0VYOVpw8TYmm7o37dtic/5AmRPWf3Xp5jI1zb5 rgHlAkxdbnlw2YxedF7Rl0Wvysc22wPs74e70LnseuCRw/no9vrziiRTPpLs 9DSnp+UhyXjacOHHzxiQGzWjyimP6HuMgT5KKcGjvy2UtuahUmS0W8WePKAV zboZ/J6JpP7/Puz5HA8ch0OL/gsmsJUw9dclDtByFL9HvGBiqLMwNV9JBuZn DUPHPZho3axk9Ey1BkhTDmg5mTDR6gEG2pzrA5LcgXccCaJCYoBTLFH3dPGz hcWzETNcboeHs6RAp8V9/nT8O2q/6Q9qV+oCztCnDdd0vhPvjXMl8WYVUPye TQ0fzEV1ao784Hg3kl0jbyzzz0UF34yniVc4RF1cDKa+zEGtAbXgDQMi4Lhc TSuVZaOm5fKT7a8FSPolTYl3yMIA/WdGqqR6JH3sVE8wykKa7cRmaP+E1LZv b6c8zECK1lQO6XI+0h2vHJ71Ih1Z6yTq1s9qkWwnq7gT9A2d2xI1n6g1AenO 0fl48RsyaE6BWYZdQC8nb3UMSyPe99zuW3JfgL5x5VDZWComXnvt+24WD+gP DvQUhaQiLWx96b+LpUAxY7Tr+aYindo+8fNbG7HfsQsGf1KQobPLMnGBAOkB JeGNr1KQ8/NKRiPBh5SGauf/+pIxxylqpPSfBKj0gaS7tck4Jj3ozp3UB7Sj S2qqjiejyYtHJxSre4HTOPX5M4ckJM2bnDX3RyOSjlzM/Nj9GbUazAxKe3qA eceanJuciDrB2s6q+lIgqdYuwpUJqHSOk+ZcXQ+UxxV6Q48ZhN5/PuVsUS0w m/nzq33jUZ1ZoFFg0YfM60d+dryPQ+vL3sz2GB4wKaq39I7FobOR8rn39VVA W/roPWdZJI5xeqNPLiHqryo5wjSA4BUq609LYTpQnOeb65ykI+d40YFdXZ1I mqw1xS8+HL2Cfr02d5UhqXlX1f77wagwcnfK93iiz6cG77I/GIi9cimxUSp9 SFLevMJzPABJP+Z26/FzgaT4w+SOtx9y0o8e7hIQ2GXemSNLbqLjuh1bdaOF xLvVdNs64yxWKk3ivH4uA5Lmh5PDokvAZlz5br2LBSQ7weSrR70h5rDnwP5+ Ys4xSs8OCg4AzvXroXxzJtBmzsNp9QHgYdRi/PqqDGhWloqBtEDotXc7Mz2C h7QKyq4tQ28gZ3NM2NEh4j7pTZt8DCJBvu5Z2jQTYi5wC9tT4RQDlIcl399O 5iBNfhV1niwORh7mvC5y4wEt7fFWxpF46L/nN/h6iwSYjRa3NvxMAIUlDdUt kYT9P0bjoMknCN0Fxb1bift5khy04FYShKqr6P0tbwDy1R1ON9OTQG+T8Ze4 da3ISa6V2n9PApLKosHBgEdIWxP/6+uFZAio8K1fd6IPONUdq85fTAZnq1n7 Kq2LkTRCVTc8+xWYEfdMnpwg+DBRZQP/31cw/80bVrtN1JfJsZs8/VQYfLne 1DGrC0m3edKi/lSwPhr3NPJZI3BaeDr3538DHcPM8t/niPNHbncYYn0D6tef iSUexLtYnf9GJvgGbp49j3QfEHxw55xvuFk6oRNt/GVpXUARUINyJOng/Onh bJvuciDdyI/OfpABDukLq5b9ESA1d5PIYHom0O5/Ho5c+YbIv++TDbszIWZg TuWYQQ+SIrTqdGqzgHJa8z5SCf5x2eD2TC6bOM/2w6E9H5F+dfMW6uNsCDDw uOF0nI30infJSbdyiD6csIpxX4icSX2GuCeXyOv37X05rUgzfHnk9b1c0L/p 9ODyeBeQQh9SJfe/Q8btwLC0qSJISh0Tbr9D1EXf+WTDW1EQoBXsElvABGaZ 0emd1zKA1HrOvmZ2HpiXuCx21Sf0WcudEbN1eaA7bqnaUyzGpNQi7yDzPHC9 tY/57HoPJP2y5eTV5IG96rQPb/J6gfL8OsNwJA/0Pjl29c8Vos7Iaxe5KfmE buzX2J4jw/4TqeLmM/ngX7hWeMCSD+QXt5Is5heAqbrQ4wWfiF89e+5O6wJC JyVYhE2qQbKlov4uvwIIfcKkzaIR/NjqfvxtewGQlF+zGm2/AqlXqSEkqBCS trZYbtteieYlJfWs0iKg9O7W2WnFRKZB0aK1lcXw6v7MWE1NKZBp7fHK20tA e9L7BRXyfGC56hzRHiwBWvzAOv2bpUDV1vi8pL8UUt++6Eh90IP0M3UUsl0Z sAI6Ct6YthNzdXSgJa8MTBe22QnpEmQewxrLX2VAPRGZEOwmBc6i8l13V5cD JW5pSXxGMSY5Klk+e0TURQxLbqKzBai5dia8UxXAnNT/ZRq3Hp1bpt0uC66A 3l9hX42cBKCU9/fA45AKGOFvWmP8QoKsP8eU9WSVMDJaqzqT1Qs6dWRzR/IP GKzztFMk8pt0NlWc8+0HsKy1HnHke4EUJGfi9KwKdOaVe29pIu770c3S9W+r wKRW5+eyRmLe8l8VciOyChTWR7cWloiBucAztfJrFdGn7Z2+vCTOucmpbWNh FShx+3iHePngW1YUMK7DIng0NudoST4kyV8eMb/DAn3Bsi/PmFwQ6mgFyFew gCYZcbc/m4vCkgdR21tZoOQyespyUjNqHZCb4tTPgtDDUevcG5qRmcYXfJ5T A+Zycb/CygpQz1D13oslNWCvNWXVxJZucDg3OF1Duwb6r/xsvCySINtUhe62 g8BF5k3ne3hgbt+e9/gY4b+E7xH9RwzUzmz9vSdrwKpjwvlWhhiZPqRyY1oN WMONOIV/MmDb5UwX+dUAVR4KJq4h6OjHBI9La8CfEZ21ObALFMgTkx3P1AJp vqOahnwm9g+g777btUDZvzdqYHE+kq4YBsf51YLXuJOTX3Q3+p6PnZZG9JW2 BfcW5d3jASP62bdKcS1QB2fF72YQeR473UOVqwOlwklFyWsEwLiexfBaUAek io3FF6xYoCUSuzvuqQNtR32LUhWCH48F8kqM6yDGZmzVWmoXko/JH600J+bC d2JS/I1MMEmT/PUvqAMa9Yly0J90ZLfs/fpTqR5698LT/UdFyIiL+rJ6Qz04 ZJpXnaQR+v39nvkT+vXwKuT2ESpbBLSAde3N1wn7voNOUzzEyHLoP+LoXQ/2 O+XYoyv5oKTanhrEJPpmb2DDDzkJOKTkXq0rrQcdpp7F3VhirhlrKLRtqwfX B8ErbzkLkV0qTPvWWw9krkGsqnM2cObuDaZMbgA97Y3rU9tawHyp85ey1Q3A 9Pta3OjQiloSTdre7Q1QeuF56uiOJmTS9pyI/9wALHnjrYfmtxH1Wvf1QEED ZLhSuyyP1KGDa++yqEnE3LiJpOexIRlVF10yHl/fCA7XdiWpze4BpSV+a/d7 NALle/a/O3PZ4Ps52DqIwKErU+7sJTUjY2foWrOORiD9W6cWahgBqoHX9/01 aAKWTlZsxJNiKJWh6R7jJlC9zZk5LbIZ6RdmLaZfIjD74PEXwhooTeSoV4U3 gbmKGx1iKkHpwI2gh4NNQKOvVlvNf4l0js2x+aZsGInmHjujJkLOpU+PKq+z geU9ulHZldDPWZKtv9zYoNjpqLz6jxBMuGmmszzZILz61zynvQ9Y7vsYKa/Y oPMsZaliZguOqPhur4hng5bf/KGIoy3IGrs1kTylGZhDCvu13GKRpOrd/Hl+ M1CCtv+2aBNC/wC1Yc1oM5hfkmgsnagF8+gHsaoHW8BZavFpR38rOMvFyLQZ LUQ9uavNXSOB0HmL039Ut4CH06GrbzVFxJziovCnvgWUD6R8e0cn4k06tXnn nxYgfX4yLKK1A+NSwIDntFYwZc/J6ZgrBSWb8cx/9q3Aea3c2CipxIxdNbfe 3GsFUpeN6UhoOSTtrQ3RjWoF1TuXOuN4neggiux8tb+NmFNYe5iD8Uh2LAv8 fbgNmL791AHdJNSzaMxacLINaE0GKY1EP6BJFGIDzrWBiUommzy9G008Ki6X PybmNkqEccoCQgdMN2pICiTWbzpwz9P6LbAm619N0WgHvWMnmq4uq8eA00Nm Q+x2IOWWDJTZPCLu+Xh2wXA75Mzt/ch51YOUHG9j+qYOoM3T1b6l2QpMx/LD Fgc7QJUZ8GzSDIK/TreWHaZ2QEbjJ0YINCE5o2CuUWkH2DOyrwkShaDTbLen SNIBwp25kXQZF50/IV13sAM8vAPfxBrxkGq2wLNMrhN8a/Y8uVDajkpXJe6Z Gp3A5O63D/iRjdYVw/dtNnUS+sH8zw/VNkwaNnTgXu0keKL6qO2ZRqSpnW9w ft4JzoxbKmyPInDgPLxXnkvY1fUGjjMF6LHaNSF6Mgccju8xd2oVgbILWRi5 jAOkq2f9Xky8BEW3ZNvlKzjgnLL5+vlRLtpenaJ9wYoDScYXy638OkG/cPDu TwcOKBgL6urSiPOEOyypu8aBmHHJPGm2DF3H9r9L8OCACWucM7uiB9qCfPgO cRxQmts9qtzFR1e3Dy6COg7Qwyfm2pbxQW9G5lmXJg4ErG4lzWGWoddjr1GT nxwwd2/fH0PtBPI2b1s2ga24ezxEXr2gfsBd5fokLhTuc3zRkMsFZ/1JukFq XFB9REevRa1IWbGyKE6HS+hg1Zlf7e+D18QCr3wKl+DfbzlPtrJgzGZD9kUz LmgmpJoe5vFRGHnGSXqKsFubKr7sk4HJ/rsXOReIeN+z7dXLG8FXpOB+NowL 5HsOw9ahbUR/fe7Sk8AFJvmWzm2L70g+o+b4oJDAKu9my/skgFXqDF5mA7H/ jDnm3t1usH/JOHXjch5xv+mGkW7hqGtzOHzDOh5UKobkM+Z1wdh2lfwFO3iQ cVNhC13cBEqt6Y7XgAdWl//WvbjDQfvowIk5hjyo3xR3/IJtL5SKX6xOO8QD B8ZJuzsz+OC24PZ20nEi/sfjOW+33EDdKRdb9tjzgFOQ4+t/NxVtb2w02ZLJ I/rqQfHVeKIv7D0ZVZ3PA9U1Dgr9OR3A+ZKU6c3mgfLMSazTIMEcZmL61TEe 9J/2eHxsXyOqb5IfWjVB4JWSvyQBE/qv3Uq7sawLlN4ajl4zqQbzZZphDA1C t/ZuXKMWl4omr0inNLW7wHxxUoM4rxzkHfaPNe7sgkq1ghs7znaBh8/h6qkF XaA/Nfr6XDUZhNqmbgws7CJ4or1Bc2MPVtYtVokr7wJq3YWw9hPVKHRxyfGq I3QJjZ9wfVkh9vcuSfbjdIGwyETn0kgT6vdv/rZa2gWpVey110jdoLhUjUed xgdXi5sPpxuJQdto17FYRT7wr5+Lu3iCD9pjX9+YafGBOXpR6JheCKnZM8/U 6fNBi18z2ciuHfX/RsuyDPhAMv3qnjbnG3r1bx1fY86HyvFCzPotAddF90Vb Qok+90v5OWWM4N+NT6hPUvig6DzlQvNzCTqoh23895VPzEmtu9whDYRKD26+ +MYHnYKKMl+i/urdk5fOy+eD0FcuzvhuH5jqfVx7ooEPFHvG8c8HCX3j4f1J rNYNnAYd69bGBmirOjmPTuiYpC1vHxw/xwXXrUaHnC26wfyQ7ZmOCSmk2hw8 JArtBvqbQ+9cifu0ZyXusIwl8Fqze4c6CnH/2tck+NINGfOm/fyX1Qzso09N Od+6Qeml98GIgz/QZLaKaWxGN5ADNVgW/Wmgub1IPjSzG6z1Zj8z396KjhqL ojcTfTLjn1zuuJYIQ6de8sza2QPsS2L7V5WtoFfukPLKrQf4uWqRqUF81J0X qDLjSQ/0R4ScXrXqB9T/Dp3OD+gB0rfl+3O4EjS55WCXntEDijN71x+NEqKp fPLTs9VEH9Z7xFJay8Hec8yHe8U9IPwQdjKTVA/Mi3O+Vc0RAPXi0/EXF7Mg NOIQyX+BAFhCm6aF2AFenpQayiIBkKink5u++YC/yMctRk0A/OPOiTb6IqLf BIY+WyEA2pbCY//SGkFBtscqT0cAJoqTuRNGTej/NQI3Ggug/82F/bs/d6Km zeikPYcI3TzLlf/4bxv6NnmcPWUpAKF8fuR2d+Ieh06UPzgjAPKbsgek9anI +VP1WfeKAOinnLPWORWiyUPXXEE44f/qpcdifhew/Y8UqsUJwNbNmv5pphRs b3+1aYwXgGrS5hCHDDG0zWxsbkoXgKb2Z2PRIjGS1Z0/vC4QQNLKCv2nUU3A SM+/p1AngNK1GsIrxL6O9VHrZswidMCBm6oHj8lwZEFkBneOEFjPJm1aMLsO WOPvr9ssEALTp332/uWxWCh4saFbRQh6Adfzb15uBO32h6+2LCfsY54kj3E+ cpw/jAzuEQLJ++s5Xc9qZEQdibI5LASPy+Hbwy/wgf750qi/mRDI4ZTCvZ5V +K5n4HqIuxBMZ2i9yu2XoUKT48uMECE4n71hMJbfCIpmW60NQ4VAObRx3+PT AtDpjX42/JbYT+1htLGGCNSLyGDykegbjKPtMWOdOOb9RP1OIaEbnr/c+W6o DanKJwYE1cT3lq088UJRhNZDX8aVFUSgX9kSeU7cBbQrw3o5V0VQb8gf1p/O xfrdg2aXnEWgsNfhtJeVAPxn61TO9hOBP91m/Zdxog5X+S4cTRQBfUvw1aLa KhiZedvw33cRmJI4G7yjOLCf/09oWioCUtPWwBPZHaC+aHQ0t0ME1pfdHqwK F2POsSsaozwRaDE1jTQ/y0BnbKHzax0xkPfZ+65xb0XV36vWB+8QA8knIfSr 023Qn1auW2MoBusomYf7/m4Uvn3/c4OrGAbllfjjir3gYTJyKD6YWK8vYj+Q CwK3yNMWNtViYIdSqh749wHjSarp5TpiDkmrSrRsqgfbrLl6RcRcUuhAoTkk CKFUaJY9d6YE+sPPzeYYM6E+Wa89c4UEdKsLfC19pWA6bjDfaJ0EWKkbqZ1V fJBfZpS5bpcEOO97VrqFScBcgbbyrrEEqG/XhItMWGg+YDcy844E7Kvp15NK RJBouOPD6CNinfTLihwHASovObvrdxqh46fMP2I/j0PUv4dRYpYEGLPmaAy3 t6JJbQbzZDXBiyy1r5w4MViVPDk7wSb2i5ZGufQJ0epBwZQxci+YHPveKbRk 4Tuxekg5hZgr0yJXvU3mYsZj/eLLlr3AyQlf5dz8FR19KgwO3CTsCbxb/KEU eBW281p2YC+wR32kd1pasJdc+rc/qBfMLz+nHdxZCKqTll86S+8FewffCwqR HNzPqJphm9oLqaMvZY4mMrD9p/UmL68X9Df2eC5liEGx4dX6S0NEfF0Mflf6 DH3frfd7NF8KpXdE9/q1+yBgxdsPd9ZKgW/0+vjKj32o+O0V5SJIgeE16X3t 5XZ4debClv9OSkF/z95av5EubPM5cS3DXQoxci/dTfv44D9sO9pLYN+bO3cv jhHiu/DRN90PpJDjttNT+o+L1m6NuqEPpTA2xL58lyFCq8IT8gUfpRDglZmR vbsbk8xKT3DSpWCeWxN7yaoYfXfReY7ZUnBlzl/ZMJvQS1+m72rII/bnmK2V cxKj+gILq7X5UmD9fpDee12CiSnFPzKaCPzURONfYBOSTlq8WN32//hDExrL eiCx+v6kzb+kYP3ti7t9Qj1oWcXvufhHCkxL7Rb28mZwbra5Fj/7/7/LJySX BRK8pJ721WNdH9CYn+Zv/kIHec8EH1udPnjnrbx1X203aA20Vdfu7gOS5o5g rYp4NFcLiDM82QeK63X4e4ckSKN2aE987gPKhhBnuyQRCrfNlCMh4W+TAu9j esH1cVrtrx99MCJjXL08rxYYr2YIyVwiXs2ruN9+3aC51XO70s8+UOj/gNWn msGhtGNVAEkG5kf/lF/bWg66psuSJi2Qwdi4j3GGvhRGJjY9Za2RgVuHe+aO JwJwVmmgRx2UgVCKUzxb+7D0bGWPnBnhP7BpaL1ZHziYV2+vDpOBcs6G4eey XhxTvhSd/VUGvf8NeZfHdYFu/cInykwZUPVOZEyTdYJ5Ten8gz9kwDwfsONI WDUqBj08vLZGBq5Xc1ib7KWo0NX8dH2vDMg1j9J2ctLBNqJ37dwJGSSZTlnj 874R/gch+SHb "]]}}, { RGBColor[0.2484884, 0.3863264, 0.813373], { BezierCurveBox[CompressedData[" 1:eJwVl2c8Fe4bxlUqJRIplRRtkgYq+XULyWiIjEqlsisrieyM7JDIJmQme3Nb 2fNYBwdn2etYJaP+/m+e583z5v4813Xd34v/mYmK7kYmJibj9eP/92tPwebd fFVg1B18aN+GWeB18fqhvdiCq4Q7SzyVC7AQeCi+nNID5y4ldGySmoLyk28n YqmzQDvmQg/cQobv4Q1ntpTXA8uk4MTGBwzgbNtfzxw/A0KFk9ZjolQoaBwy aWiYh0B1uwGmvX0QPf9IwihqBpL/bu8n81Nh7meU+6upPhgkBuyrVpmEyKH9 319LDcJGkVXn/Q8mICX2XzMUjAJ9+kG/xs5huKI03V50tBPS3n70cBedhvcb Xgl4ms3Dt72Hwx5H9YHXg992gtnFWKWyd2vYiXlQ/n7wZ6YeFVTSRjyYQ8Zg i/NjL7vDdbCTnVoyIseAXwU7i4v5h+BUysi+I4MjoOQxkJVV2gS/WjuXgotn INtt4uHDjCJ4x/SwYXWNAdrR+rf+cgyCm840e8uGCRCd0152ZKbCj8+jyswO Y7CgSB3QfW6JOhs2hdv+noXbUTuqb3fTYU/pBMEmbgQO/3ZhHGWeg9wg3Xgl /n6Qe5Bxz5EyDqJLBg6Z3TTYH8u4HyTaBHPS78T7DszAMdab9vO9XRg6mzPv PLcAZmzfjiQ3VaHP8evP+3nmoe/Iq1hOzQkoqy8Oq9OjgWv0RejctT43a5B3 vkQvZH0UUXLVpAH3hJK9as0IvKOG7Gdip4HoJUOjgekRyOFI6iErMkBrRvDj n++D0CvRytaePwHEy0xDbVZUGN/AohTRQ4GP/w5EWCyNQOZEgWHajg4krtqd X9i6AEaaCUzmslRoldn7Ud9uBMp9zuWcSJ8DHecd12YiiTDMxvzewYgAvFIH PKqfTYJi615KBU8P9t4Jqf3zdAGy/ua7Mh1fgIGTzG6Hn3dAqxaj3ft4O271 +yszYzQPtrxSQ14Co8B/o1UsVJ0GS0o909W7ysCSaHywaWYaOM9pD3uP9kGs b8BP8+VRSJ/kdgjaNAl8K49upzWTIejK0cagmh5wpV8TMjYdg6Y9rnuOq8Vg EIvyXXoRA2RVCU4fnzMgsFfKYbCqD2KGLg86xtVBRMaK9xrPFETpHxO/8TUL WA+Kx4oLzECJ85RyjEs3vtp6bGY5dh7GVUyrfe7Pw5mQ0+KLEh1QG3D8bsM8 ASOFIw03zsxBffzZxKnlDuw4K/FuWXAePjnsTbf0ycNtlSt3rVfW9bfhsn43 yxwIvAl9ykrqgqxGCXtNFwpwusrNze4bhmWhwbkXbXQILy9d/H2IDktiMXqe tykw1fxMIHTLMJDZOE/r7ZsD246tIvJf1n3R/0WreZABW7IeD4r8R4QIenLD /soemDeB01X8o+BmHLZ/u3AvWobECHLoz8MKn1voZ5YOPGshPHz83Rx88FGY 1TaeglpxjatPVEggabJjY6/LGOy7ejd4WZIMQyInDqy59QKl1flO7sURcL7n TWEjU+G+fGkDg0SDxtPUM2cSB6BUZmt3a8sQ5Cq/HS/kn4OBG+YXbkq2QzPx uruzdz5w2aX++1s6Cfx9tfKJDxsB1GZ189THIXHHY/Zwcgee9DnrUCc0B7US RwsbGzvgxEvRXm+5UaibLB0255wEI/+TviubSdB/Z4URa05E5fcpLMahc8Ce FxrL9acNry6aP7BMnoXDjyRperPteE3jng9H5yzsllJSyO1vQ8VXmemXbWeB 6U7e2bsC83D4R5XzxLtm8OOfjoUPvZj6ejJeLGIO4Lfg/GrlPBgoRlmrsdYD m8rhnb8j6mCPZUavnd8YPHQUY5EZ6QPTHB1TN8H1HFG/1b3RhAr3pv79PORP hV1KyHTfYgJIbr5uffq90Jfk7+/QQYE2oQ7pss9UKCEfIHjEM2DjrxUicyMB MqzhosufTjjmuMTFJTAM1f++3q06G4eVBKZT2WxTsCPf3mqCOA6RYg2XmrR7 gPn0Tr3lqBY4SR2XYOIagefX45dMylrh1QvJqnGLYWAmadNTu+uQbcqyI3V5 GgrXBOrP+jBgR6h7Sd5aM0R8IR993TAOgrYtowL5XTCnYbfKFNwKvs8ZecWL QyCuEe0gt0SCRCFOl1kJKoT7fvI4Fza8ni9Rxx/29gJVHoXjk8shd5uX4qbP I0A5uMfy39MBcB1tfGd6hALa7z5ai7fkQLTi57dasqOAntL/nbYbA0mDWS+L 811AWDSnGBxVxY7LR9kL0sbg2Yzry4NAg/EoqSMkzn7ApwP7CmIKsJT7yDGr 7nEwrjO8O315Fk5GWu0xplZClaM9D39LKphv4baLIoxA+wWpJw+spiB8Qdr5 tHYzbNcS6CU9Wd9rigdFlg9UwJjcseYpvjmIXjM5c+9iCQQ9Kxz/dHAA806b 9Y4HMKCmU2pabFc3lJa+inQUpoDiUIXiQc4JcGy/5m9woBXUY3MvmtBG4GWh oYFweTt8e1C0/e+vSSiW0amwFWyAL/Jim92LsyF8tJ8QMTsEz1cNf222ZcDp G5PK1aHloGNkd2S8uhV7KhZVdBYn4Eu2ZdfX0i7guM41NGdBBi6+Bzsk23rx zMOT160ipmHIkCvt/DU/uH89jhffDUNbLtfTZWUarErMJmwT7QarK3p219ry oRD8X0k00kHAI8pxao0I1cG0yfAv/eCfEGcnEpMPHdXCful/acCjvwtUFAex ivPo/rH6aXD95xNbylSO+06xBVVxjUJT/ocN0YllOBG7zUN9dQQuC58Su+g/ BYEvWq5QzcvBt2RB6tvLNgwyGTi+8ngcVL1UBHti6UCN0s78WUeAD+e+hmk7 k+HMx1eiTI7d4JhdfODIuwTQazQVjNWjg/PzvV5HNpDBjzeeWWGyGz6l76ub WKBBuUm+9V3VdjjVZ9TQrZADT8PSWzucaCA2yhezYFIPTtWJtCesFPDfWztf cKQPy8paOsmJkxDVIr+3qa8P9B3/mRS/7wE7j9oGEayGrw8aghrlKdDFHeVy jkaC4sFt+qwHieDsfIZarjUONxVU5yy+VgDzskjQi5hZYFwe+C2v6I/evJo7 OHvr8K9bKbm/cxh47IyM8uLXc6RXiuvDpm846HYjQau6D7K/FXwcKe0ETx81 u4/DFHBvLeOpnG+FZpuRbYctRsD77V/aqHcV1Jq07jgXPQq7lXgNhuLKoT7p 3+djOv04mNVJtm4Zh1ULJXmn7HcganI45pQwFYw23i5Iu/YdCRHJjl3r/5wV df7arsJIvP04+W98NhWEvfIy9h1Vg9tXKaLLO6mwcWezumHiOGhfzsaahWy4 vXcT+b4UAxw3LTdruH3B1uSxxMb/GBAt5dkluTsSZbm8HF7pVmD+8GaZ/eU0 mO4PMdgVPIB8SlpCY21j8MhdmqwuPAGJP+DFKf4YeLl13HmzJAHub7M6GuzW BQPV3+zUNk6Bo5dLkrbqe/y64UDpRfcYLFv1OmO3hQLxttJnl1e70LGxkn/j 1DC0/xUp8LQfBW1TDc/ConR48V9bwt3JHDw/FG8UnEmBJ3d2ue0Jj8ZPsUWG mVlk2ODK/fXTi07cZfjEKPvUMBBFtxptdiJi9gVVH4HZYTheG36+Z8sAEhKd 8miqoxDTnJk/vdaGHKWOr9Ns6XBd2hiGpEbh5BmFV7ZP42B3nK/BL30CsmUf 8NjnRIeoa/YFD3cR8Kg1L+9NVTp4fpXcwH+6EQXtRU9PnKDBXFn/wbCsdvTl ytulXUCHs8wHDqhxUWB3hrxL8Donm2noOfnxU+B0CZiryVeCZZNb/yOeCpyp qWHwretNVV/lybG3w8ARM7txKS0BagI2lk3JDeD5gyz19+jD8Gr3kJX8g2YM XNmUwm1JhdTVZxVvmbow4cPFx1JH6JDvFd1dxJuANsz6n95dIUGZjJamzUQ/ KtKjFy37huCGxcAFns3t+IBLrFEwkwovfzEXrtg1IDlos/6YEAVs0jwXlY+N Qf7FxeAxwQQsb2kOX8wvQ2OCxphu9wDciPy887wkCUvuXFD6L4EO68bbfjC6 Ge9LxR1OayBDodd/eoeO0qHsQtlXc0IQ/Ojs+1R7ahxYCK1+y1q5mHGnKCDZ egZSXeUUzO1qkBGnzHU7tBKbSAfflVwZgPb6jWJ+jh3IR+WihZ2gwtXq0E69 gClofHeCusWsEncc3L3zTzYJxz8MXGm2p8PzS1fuO2RX4Z8NVz/t2DoAurpu 7QNhtWg0/yLVZOsgPGU6Vpw+vz6Pif+AdHA+Fn3OUT4tR8YdR5c0Fkl0KCIm ndJ1qgMj0bINfrwt4J0xmyFsOQOMAFnWkIF6vKVqnfkmrRNEKUWZAwlV8PRn GKBRDbi/qk9wD2sBDitZc/74buCQk3kjml4OSyVTfUyJNFRfmznDETAMJS71 ea25NHA8Isfb6GmBTdmFzVsMh3D7Jc1T7e4jkK92/e8j5hqkEISexc6SQEjK LveBBQXTnpa/QuYhqChcZGLdTUXNbjVW4q0hUOJLO8ZtT8XjKS02D8yHYLKJ kDNCI8NZ3WRqWVkUmL1RjjSz6EWbCubVXW0U4KKZmoQVjsPwkU9dx478RKKs 0Ev7v1QgbtawlooKQ14m6bd8WTRULM+RNrMagpOK9vX1B6nAtK9bguODB1Ln 3z8lqzeAE9+VCdcHtXB1JvZFtEMdLO4RbSuarIWVmKQdlk79mHIDH5v/oUDP 8qzZEQ4iVkxqP/LXIYNgi1X0Yf4OaK6Wuvqvvxg8CBumCrR/4rvGTL2aFiJY nnWX37CeOxVLTqYmJ1vgcsUD72GNJtRx/gcOzH1w7qfrI6I/CZ9v26JtbUmB lwNNVYwWChYFOoZM3qGBQr79HW2x9V4y5/z9T005vlPsJnnXfYHPfp9ktKZa of5ixIlKGxqkCf9wDdiRha9zz+fLsY5CmItd7eTbKhQN48gtbnRCQV49ovar NhiYXrp6TqsIhITEu3uE6yH1ZVxY6ywVbsaz5hgoZeObKysy189SwNYn66v7 lSSsdN8iOvmzH5Ql/TTN/Zzw4VRrTT9pBCcjJL5Nr/fNyk5F25hKKlqHz4Ic Fw22c5IbDIKmQJfDSTmvpw2vNxQ0qj+Kw/TdvYoDem3wdMOSO0SOgHqI5OQ7 SjU+b4g0tbHvAdNZ6ZgaSR/IC75blF9KRRazDGkHTyrcZem55HHYB7Y+8MsL OtIEPER5UQnaEAqEUwq/nqYDE5Uc+2B6CKrz+Yxi13vfm1nnQ4HmHeBicqhE xi4R4k2XLy5Mk5H1EeOR5wUKqLnvKr+fNwK3Q0ry1y7XIVcZOaHFahBWFT03 D1ql4KCGULrrhipgBD6WZ/cuhwov4fYNd0aQ4Tu/dLmQDtwbYz+8dyUD79u2 yJSGTJw/8nrzQVUKUEskicJDubi7sGbLqQtTcPgF32vjD+04ln1LYVSwHZjR 9El9ZQKYZw44Bh2fBPFQy8C1LwTMJr6wJxm1Qz4gbdAsBmyNtzL6Q5pB+wRv mm1ABpRvP/PsBuUTPHTWKGyYqAFzZfvJIP8RCGdvZRGaa8J7bj7/7aER8GXV TdYhiy5QLbywzWyUBoLXTorWsdXgzYv3Yhv3DKAFz+ePQpYkYPbWsvD8QwCm 5wcVb/FoYqfLbU0z+89w3r3zpunRKiDTjucIGI4Auz3B+P6VVpzq3+pEGpsE avRWLp6aLkxscshjaLQj9UfSu6GyTgBZn565vSTcUCI80oi9ELfsu9+/aBLa 1eSaRmW6sejfXvZiaMWDLV+7DmxvhwNJ/mLGFqOoNSbDRhikwgXtnX/PjTmh joXdj86ASij99Sxsm8cQbrrlXKCRToZFWePvDm2deOX8RPnjvZ2QKJ1z2zep DStO5oyr+hHgYVobRUWqA1/kxe9ubmuHm5fvVzsd6AURCTU3pbYi5LqhOFls Q4e68FupJ5JaUHzXtZ4f9q1wtFXQbk9qBOr1xt7i7aCgsfoqn0Z3H+xt3tZh EtAL2WcsUnx8y3BRPDu7fGGdI7rf7jamN2HCN2cnKcteFHZ9I77C0gWBoSc/ zSZTkFts2aHuTy+c+ydc+/xyB1Y55W/wkCBAxU1nHp7YHrS02Pl9SbITKE+3 Ktj1pcNZx3djf9VTgM/QJj3JrhUm7mseG+HOxP7yb2iWlITnwlf3P7lVBByB CYP6JmSYrtZSWT7TiIc1H3oZHydC0Iv/XPROVWCuPSuHlwEJcZeVm8FIB2B6 PfEULwHaTI1/iw3nYW2KdGRr/yj+sBz8scOdDKubq9pTOfpBuvzG+yDhunVO 5S0ISl3nd5YVbe65PuThT0kwHfPErolRX8aBDLAfCMm9fn4MOC4MHiLY9eB2 BptMu00VzPPe5fmbFo/xwcGWrFlD+Nc1QWNNggTx7CVm2YRx1Ka/bPrBSYHX RWUHZj6s9wEzw7xnxkRMi7nMUxLUAVYXOK/b51Wga+5zp0eKXTDB7cJ9o6cK vYKSi5qIA5i9jedM60o75D3gq9u2JxW036t/ZlF/BLxn7ER5awqAukKpY70S g0XhOxb4nAbxBbn+lmRMO3TYyjw0qqDhpoDDIeLZ3ZAaFnKj+yUJH7GndNbw tgGN4+FBw3wCLIjwZrX6VuG9EqUjFCVEL+nU4La8LPimS11tmh2FtZAbfgFJ JFQ0ZLm/OTcP7Kb3mewZSMaYA69jnsQSUam3PIj4sRG8FYJ3symSwft1xuvS AQIGurav6nC/hcNV8q8P7rREZ50CA+XwERQvm0eFlV7QbX1z1UtmCCZmT2ZW dRHRvqbAu8MmDz2ijgvY5iVCTe9ZvucSNGyPOnSVu7gTrn29W/NYeQhd3oiE 64x2w7Ac25GpXgJsts+aJF2sxZfnNbWsvtPQaeMV7gu2nfCxmZdJpz4fstnJ NzLKs/ASt8AV1W0D+MvR+b9dcy1AIyR/WZslw2tVrptPlzswP+GByeJMPShG 5ZJl/CvQs9eM+KyrGnlesspG6maCyrHpm+pWI8Ahnrvl+6l+bJauZ/12gY4e gfsOXN3TCeyvQmIzDrYjU4FZdoNCOdzP2c5sRBnE0aEGddHOFvANHo96uqEb bkhoCFz+3oJ+T/ZyOHL+xOMaUo5yn1IgvqLZsH+QAEG3nBQfezRg6+9T9tsK 67F6s7xWgFcmzCxl+UvvnES7nFv/DNf77nmffCF28SGoubaqNDvdh5uchNik T5GgVs2h2WC0HZX2VEO2Ax1v/176MzjdDgHLBt1JfiSIDL330VylA639Ylre tI7iqjbbz+kmIjxbGbfVJYzBp9eFqjZdZGTIBgYoMw3D1vOxZ2xs+jHQT+HH jZtDcCLw3FLVbxLyfl+iKPat96R4mRt9DAJ6ytCZarTIuBorcvO4UCMMfLQ7 YH2kFN5biigUkytwOV0pKjukDJJufQziGq3E/iqFY6Ij42ilmeGlQ+yBGF1N zv9+0CGoW+3kDel+1KwUoneTerDq9EpfwvZK6JUJdTPTIuFqhPlOc9OfYNKW pry7iIJGBx9yHXVogoOTXJoqT+gYoFu4ySqlDZLPSkvqX+oBVaNbfw7HdmD2 zbaJX+otqHnqfpeIRwIYHDrZIXwrCVjL3he+Vy3DupR9RvChGploqw79rcpw SFr38BM9KriP0+5yp/dh0gmJBdvCFgzNY6Spy8dDyIxo0APuQbwKr8ysqNWQ eVfG59LXduzs7d49LJ8JaqeZbT0GRmHHNb5VzzoKnr7nKjZ3vwoGTn3nSHCo R4ous4JSFBUO3z8mRtvWjwbP1qa1ZzvwQln0hp8nM4H5o3+Eh1MgJJNnxXJk y/Hwv9RNGVP94Oi+3fiQTw/G2Vtl80nmIJu66MYvPLl4g+/ReJsWDU8EN343 uFQPYg2FQfSjo9ghLuXY4UMAbyHug4XDJNyYKTLjpl4MPAZc/BxcPaB2guvr dXkitlUKFO3Tn8KdPxfN7h0gAu3XxOpCWwZa/xJb2+NZgmxi+79T/+sDp72V ycN/evBZzcls6gVzZFf4EPxR5Sf6OilNrnsNt1CzRwblSuBvqJXkXjqCfff7 BfXvrSj950n97ux6CP12h4N6vANtmYx2Pt86htu5LBknP7fAgSrWffzHq7Gi lKgpRS7E/nke4danzZi8HBdc9isTffrC//LIDqGMl5Hkx8ifEOQ2a/ePvwtN EzX/pPn7Y+emU4uyqm1oofiq3/rcD7zW9bJreKUPTfX46noDY4A7jj1gz0E6 iIg8vTnTSUVP3sJx4kECxBl6LTH39yD7D4tiXsFRbOYpEFgdrYXQkRaS5kAr VEzdKeC63oN/QiK9TZ+P4NWmOaXjldUg3StV2vpiAB0P+zT5t0XAa8PrXyQ5 mmEpOkPW6DURX0S1cRIT+oFZk2g69I2MN3PS96qMf0dXlzbtgEeNqKBwrtyq tQlTpN+yXXEux+QHV7pGun+ALOX516TxdhQ95pzJGtSDo1G3ZiSZErEi9Wr/ zoQ+gAipS95cFJwJVM1jV6lAJd/oP9KX6vEX4UlUbk8w+JVs/XK+oB0JwmUb BVK64WOpTuxRRTLK5T/Vio1vxy02p9z2E0vx8d8gSz1ZGnwI8S0+v20I5S6b Nm3Jo8EJf6vtv9dz1s+vWfekxiTWXd+uO76zDp5uIaaHrWZBrQ/f7UT9bmTr lP+vcGgS/6xa704KqAMD9ytSR4w7QcWq6s95TzJaKMcIHggh4cJi7AzPpwy8 cKzmFt/VCnC7Jc++ptmLmw8rHXn2oR0SE3kWLt0m46HA38SmgiHUdjujxK2Z Apn3COHcZ/pQZyD7tcZSHgZfsvP9ejoWFWrzHTs0O3Cq75v0H8cWVGEZS9z2 ow51GDtXLq5zXuZ3cYOPQ814TpWY7KteD5/SoDIxvx9fSr5+/US0Ai9MflO9 vacNT53nof+VHkVvmzOy94Jz4XHR8PvaR+v6EP4SULBnBHmdWJReadXCXsdd WtuuDaA409NSvm09OPdf0Jg6rRyNDjuppL/vByWByFRdWTryUHZtlDcYwFUh jVp19nwU2DW14ZJjH7gx0mouTdBQKSXc/9xYAb7gHmCoYQeGFrzVX9tOAku+ wvQgFzq+MNuzy8+0Bl/xcdiFAQEr4r6csL3aA//9omLbWToe9bYU6cJ+sGXR eXo8cQjPDLIa/PLphxoL93aekSG82vu7XEKzE7dwLBDnrzShj+h5k4jfo+j4 9Ie893AofCm7ejVxRh/nr276UXSlD+Xibt+ca+rDIHdVndIttXh067PYJdUU nM4J95ODXjxKKqpnziuBDIKSw/t1/QyZOnW/XMiBD25rpIWOQTz5pchtVSgD hNRtYkmnB/G7OpupP6kXHrs8ZK1VHcaJ746N5Xtj8Hg+6ZHsJRIqdf+sk5zs gd1yTz7EeQ9j7KVbKQbr8zcLHlObVB/BHWt4jfvIBJKHGmXmi5zBXkON5+3h HsgS57VvZQxjTUTSstClFkjtDPtzUIyO/DERF0uF27DM1JS8NaQT16J+zCwz TyHHf/9JrfpFQS7TZeXv4gR0PzK0QZu/EyfeXcwWGRhBnn1+YzzP0pGggArV jQxMTfn8aHG6EH6+6Hw6ts4hsldJr1rK23DuFmss6Vgmpv/p7p27PICmkk9K vD91wcdR7XGTtWH88cm0UaR6GomUJDVWi1hIjXvcQ/CuxcHYdEXSh15U5rOY m7zjgVNv+s7A+j4d4JZJc6ykoL3aMfY/pQ0oGjqn9/hiHzKpeZhqQzvm1Hfe nq4dw+goNo9C9xwU7/VJjbfMQlnF/EvFlmRMlo6t+qzQCUzq7Re/so1ifoTg NgmzJGAaqZAhb6PhXfOypOGIV/j7B2HQjJ2K9o5Rk+2r0xgtyck8cNYVk/Qz X49bUlH6p5RFtFUzmliKK/MZtiPnyDnmiB89eJu+zdS/qxsklQbtIgPHsPos u1W4MA3CO4d2BtdNYd03LcPM8RKs0u/uMGgjI61oZ1qQXCvmNOhF1Gj0o9Pi f+c6b+bBsPdvA6vdQ/iDjXesZz8BbbqPZmqu86P5m1OaTb3jaKDA85OTpxz9 WdkXPaPqkSmXM050ZhBf6nu9zdSfwVqnhA+bZ5Mx0FzwJduHGXSfN91zhZGE bmYStz6e7kWJMzeZWzKIuGp9nf3NlwYsn9Qb6+kZxE+G9Rl8kf6wwCr9PlSC jupjuhJf/CewUPsccZdWGU5KDYU+a0uDL1Lk+9eODaHeJ4PlE7N0zHJrZ7l0 phV5449zyJT04d1z8t5nC4jYPt6p652dj4cYAt+krtDQVDwg3XA9f8/7cFOY dk8hf/qZJuKNFjhnpR98rmQML99mDpI5XoFJXjW3rKKpSPHxgCMPxzBwg3/P zGI98omp8erJUnG7G6fI43td+F/X7WM9p39C1xGJtq+EUYyNWdkclBqGaeAi Uyg/hL6Kp79RBBlY+/y+4D3XAqxKwWI9sRGUmK7QX2Nvw2schfuLzpJhv4ut 43vDGbQYg+hKwVbUmshMZnlHQXqj1EXt9f2+hyVo81jDFO6ReW5RMpgJgQIi v7dfGEW6sDJzhuwsEr8EdEvczcdIXzfJz3EMdBTffrX7eynKzbuEFtcwUHmv N+HofCmaupyS44qbRpcALa+N0tWoqHz0w98ZMuoUheqdONGHnekO+XdijdH4 qSunhOoItlZfrhH2JKKQ+P6Z60/IGPHCbDv9SwfymJR/KfGhYNIuNXXLZ114 ce8mIx8eCooEln++llOIflypAb7ZQ8jl1pggs6MHNmU8eL1h5wwWn064YfU+ EQ6VSzscXxrF6ciBac41MlaxSgaeJZCQYfXG5OIAFdO+RCs+S+/FVAXtt4PF P0Hp7Sce5ekJDGRpl2DeOwDynxSyTjQxUCNZsCbMuRAkxSJdaDPjqK5xX9L3 bQJ4/ynfeoJlHOfOfGbTlC+EVP7nTjWSExhcaF6lss7Xmvep/e+KGbhJNt5m lE7DzG9pahnrnLESMSI5q0fFTDlHNVOTAdy/Kz1qIvAnnDgt8PHayiR21nie xq0/4e3yqpw11xTWWqf86dwxhzf1yawa/VUIpM/ntFP68AbLB2w8RsUWm98f Q1l7sMPRxChwDw1Lazae6qypwRpmjuvLw8N4V/abjI0NGc8ffyMRt0hG5o0B jT6x65xfpKbpw8VAs4T9oRGCVdh78cnZqeAR3C+S4XYDpnA3/3i8jX478p3j DliRZiBTk80dVdMWtN4bYJZpUIO0v9yPnT1GkJ1rTmGUlI+il/gKF+3GMEmZ ky4kN47TmzIV/d4R8Ulxzf03R6tARttaJ8hiGnkDE7MTvLqBddaPX1BmFslu 3MDTR8NzpW7OMnfJmNhcuqLXGAJtzST7eplJPFI7rtv9jgh9Gw15rM1nMXSX wZKuGgW7pb+QxDopmB+okxtPI4B5sGLDv0QGcvY2XjNMIQD3xQDmbd8ZSLJJ IOgatmGwgaz6I711X1gNfWHTmsd04VFhiK1F5hfaatf7J1GlKDOkhtGNz4xL AhKykvCt2ljlUuEETvZZn7e9zcBixU1xjoPtaJOcePWjRhf4qt5JEvo2i5GS +66cUKLgimDhbN4EFcV+vnweUZyJ09+dbTWDJ1AkP3KBe46Mj7cRnIwe0TA5 IPaxQ1kD+nxRCcw5OYamb0+u8MR240P4+43yaBh1NJsq/X70Iytv8Y+CyCFU OiEenXyyByR26oxdK57DwHrL3N+Ts/iNdoJf7Uk70uMbdChPR7Dl/ruvmyfI SNCM9H68bxjd+EQ0Z1Io2DobR9rfR8QHpx1Kkt+P4L/ZWxMHJDogJ+Roxk25 Oby8vCKTtncMvbJ/3xKVJOM6clVM7aFgc1Jk6pUZOtbOKA9e6vDH827Ca56e 06jX4vBJ+GAnehgp2jS1jOJ9su3z9JwU4DS55ivxdwZF4+wCVRLboOxayTnR fXNoff1q5zuBWjQnXh098XUCLZnY3/1+VgUdl4DmyjKLp9pfXj/uToSwkFr2 8APz2DQdlP5Ah4Yu5a7D6ss0NFaRVHaqiANRnU3G5EsMrMiXuLjTcA7jyGuv JZ07sZZtFdopQ2jTWkwhGdPQz9FYWOVzHvocmqHOaE/joXmFcKXJnyjRv/Zm kHsKSww/693WbMBviTGdo2WTKKV1Z3ivGBWV3TeUhF4eRt5rTyViT+ZheSLR fUl3BgPVu6x9E4dx+vcbgcE1Gi6q6s79Wn//p1df0itzGAWOkm5tZapF7zfp YWKbpvGAdZ2HZXQmbPx38RPj9SyO0AVXxnoXkDQ77bNNtB3NPj8lV4d04aV7 5RS98xO47dXmmTPW/bgpen+9ydUxvPlB7dBNj1lUbnuSuLVw3edrY2y5S+0w F3CPYPdrHkUI3CztD3vRxj18w8OYcfSgHmJR8mdg2aHkszSJAeS1VI62PTSK ajK+/jMGdLysnSZ71bUHWGZbbGv7F1C/XdEyzL8SOHN5o8+GzeHbrYrF7UUE GK3p8js8NY++G6/EB5ks4AOHx4oxlZ2YIeYq/YmpH68LKT1QEBxHIXb6BblN C3j44soj683daP9L5vz5oiy8xzwj25/DQB7OmNzX88XI4vRrV8VzBj7tufLr p+wiJvp9HbNI6MC4oIEDF+514svaModZwiTe2TdzfCNLDUjLhGWKnJvHlP+K Nuq1UDFOZj79tfh6z3pLSnxbVodrixkn9FJncDoZL6VkBYHO+2dvNKZmMeFJ 85PK9dxyvvtJyrNzCIXLAkJeWC2islDdQCdvF/J1iOeXyY/giK3J4/SAYfxq +4J3NqQPd9T18XNoTaLSh+3Nj1OaID/PMYSuvYCD25lEpePpiJ38eukFo/jN Q/jAjCQJBwrsCMsFk/g/Fn3yUg== "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[3, 4] (1 + 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (2 + 5^Rational[1, 2]), (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (5 + 3 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 2] + 5^Rational[1, 2], (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (7 + 3 5^Rational[1, 2]), (Rational[65, 8] + Rational[29, 8] 5^Rational[1, 2])^Rational[1, 2]}}, {{ 2.4270509831248424`, 4.028740053470407}, {2.118033988749895, 3.0776835371752536`}, {2.9270509831248424`, 2.48989828488278}, { 3.73606797749979, 3.0776835371752536`}, {3.4270509831248424`, 4.028740053470407}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}, {Texture[ FormBox[ GraphicsBox[{{ RGBColor[0.8935136, 0.6004149999999999, 0.2205464], { BezierCurveBox[CompressedData[" 1:eJwVV3tcy+8Xn4RFlApJmISQFCGkMyoqISmGMCQhqq8QwhCKKJUKURSSaOmi m866Wlertu6X1S5ta20hCZXf5/fP9nq/nnPO83yey/u83/OOeDsfUyGRSMHE z///mal6/loNStQ8slrW+qkMA/iOpbRSJRpKXn5IrOgCSVBmVRQqUTgpjhu1 vxc5rzQKwgKUSL64MxDC+9BNPNzd5KnEMA0n28UyLrq3/NMJN1Kiv2W011B5 A+huCXm7cJ4SGT1lkssjSZDym1e0YIoS7T5YWI7pasIk0vfw4AnE+ILQzAiX Mgh47vKhu0GBQVPjOcsFPFRdtUfqVKhAepB7kGRWPcZ4vOFnZyiQZdpakP0x Gfp19bzd3iuwTdqqtk9fiboRpzPXRCmw/+KU99f4UpBvfrrD9poCvaZoaL0x E2Bg6bwFqXsUSHow4+6/7zdhiMzarrRQoM71wR/f1/WB6uoFnYfWKJAyq84+ Zm8L0j1m7nU1ViAjY/tjDrsDYj24c7gzFUjFAwemTK9D42+0Fm91BRouOm3x 6TYfvJJ96ZNVFZjYFUSK6JSC8UvtZ/I/fUgK3HGX5xGAwpWuB6mFBJ4z5ZFN 1n30DNo83fd5H1LfjXly6T0bQ6Lo5zZF92G+9xjNzrUCKFm3Mm7/qT70eRhi eSS5CVUvBzk/9ehD/vzY0qALbWiq1ZV5dk8f9qc6D4+skKHb3djen0v7kHsw In05oxt9BnWM1Sb1oZetm3PVfgmy86XbcxvkSOIp7t08mg/xAQVq1Dw5ehU+ iWVsVKCqytelKtfl6ON7mb4stA9VswTUPHc50hv66dOrvgLZamxyyV45ZrQd Yurad0HiduNzobvkGGZH/VFmUw1ymmRCzCKiftDPhweOBkBgd/ONmvlE/o8R jc8GheBFv+O31oDIzxpxdVusBMk1TsmXn73o9MoqfbF5ByQJojOfiHpxaN9Z 1fMfGyDp2z6HxtZejK+VWWgsr0C/Wzrm02t6kWQvuhXxS4isJaxaxWviXj4/ Yb0prRb7z765IEnoxaqOaaKKVAWaW+6wo0QT8WvdcxTjuSgZzt7652ov+jyz u1x/UAZJ9amRg57EePRs2u+S1+iS/XJK+VYC3xC+O1PQC7H5DDNdByK+d9s+ zdwiJHHdQ0/qE/NN751tcbUS/H5HXF80nlhfusjaI7gAqCZ77JJ/ypA+uv1d 9d9mpEc/tNnWJ8P4qZMHF6z7ijpaAfNBKkOmZu+DYGKcUaCfwxMS8dMPaIRe Y2PVhjfz1jfLUHd0e9/s/k7kx2QOzCBwGDdVukSdC+zRtROWV8swaWFa6Zlm MTiR9Pq138gwdlX7quxNfBTi35C0UKLeEpNTx5aVYSBrKLIlSIaqz4dl648I IP7wQ0HfORmyBswmNAV8harGG0u8XWWonhWTSB4UYWSb6plpNjIc+sfaevGr AJnrVh+rsCbqWZmuXt2pgIFNwg2Bc2VIObpj0261emirjW/Km0PU05eUNtux wdPo4RKNz1J0unswN6erGzlrWLcT3krRbsC44g1xbylv24vGREoxRvXD3Odj O4E8b0PCDIYUkx5fyE2+VQuk9OI917ykOHB62swJC/hotGqSTuUiKfHedfom etWD6tYnWt4GUqRfiLDc5JoLtCG6+LeaFDPojAH3zwoIbBw5zBiSIGMdnX1u bTFa6jqrVtVK0PSQwcR7t/vQ5mPXF6dSCVLqR39mWjOBsdPX8UW2BA3H/V6h EPLBaYzZ71OZEgyytjzg3kvw3NdPf16/JuJz/dXHpfHAfXS1pZqHBIee305r 8GhEWlbDnw9WRPzKLbnfp4sw4OdHI64+UU971UGTPgHEmFj/vPG6B42iu+4X bq6HgDu1zh1PelDzW3PYf0+/gPzIybNvLHqQ9PmA3Z+yQLDca3VLTOlBm6Ph jpdvC5B8JKuvQb0Hq5Y1zb99QIDG+Xt/zRgSo2owO+2HnRDpKr+fhvwQo+ak 9JjQ4Go0NRlz57hAjMyn1aD7rAKYXR2ub9vFyL93pYivlwvuqTGXxxWLcdhk YQM7R4ncs7NPLn0lxqHCOOvOqHrwH3b7q+dL5H8oCj9sS/Dxqgl39nuJsell Sm4CmYeGA+IO+lExeu4ak7Sc2Y2qkb6uNmvF2P82hJsS2QCR13SatOeLkfRs q7a7by4mrZx/hzaZWO8u48nL9wgx8ka5eYpIhDa7SOxtP7uA9M2/IrNNhNST ntuX67SA+SnfV0n5IuR8UvO/W86BmL9TLg++FKHx9R8O1vl8MP5y7zntuQj9 cLm+2VgBRN7dlJsYK0LTcY+EPyZVgM16qeaaRwRuXr0g8ZYA7Wg1ebrXRMjw TrHT35UDIYGGxw8fFOGwa6HDOr1uiKFc27/SRYT+UJb0/Ekd+EGH525nEdI1 91+TPSqE+BWlXhusRMhvuuUxMD0HHaOto2SrRWixmvdlumMXCq0CV7hqiVC3 K7V1xq8eDDifsmTpkBAZ66fRh3axIV9qbiTPFSKzxsvsVpwQ/F5/U/zMESKn fW9DX1sNhFh+4nGjhWgz/Ylwh4MYsx8oXncECVHnSeXAeA4f7NJXFA1eEmJA 0U3VXiYfJTN+jrE4K0TSQgfd/ezz2F9bq2rkLkT1Q3/Jv1oEIHmza++gkxCH nj4dy3zXjTbuimcuG4n1bFPXMxTLsYnlmZM2mcB39SLimqNQfvyBWPBdgNyd hga9z8SQojqLtylDgPSto5EFj4pAhzNyd/trAfZ3P/8YqNkKZFpQ1d5HAmTZ iK1+r0sCu2LbjQfDBOijop2mql+KIfqHP/86SvAGowrm9InB+Pnilx/2C7Ap 8sDxWdFStLh3O+mgPXGP/4vz/cxWoruPyxo2VYBJa8Z8frW0D9yG5k/S2CBA 0+wjeloXGoHR8X0kwEKAnIVWwVJlMfop643sZwmQVPDSL9GgAVlP1P7FzBQg Y2beIRPfF5ByxGR2MFmA8fdvG8ac68SQl9xHTQMED3HYSflXa4HQOcfGCLpR l72Me95cDKYmP0oWd3Qjw3hppllWI/iPcco+vqsbKc1WKv4T+MhYrbmaSenG fD1TwykpYgzJLA26qdGNYRuetc3/roSgkeWrO752IefY+gjur3a0vJ7br+bU hfwP57LX5hZB/JPNurc2dmGS1SvScqtesAtwL6rX6cImJrfMV6AEocW5XVca +ZiUtWBpxgwhaNZfeP67ho+m0pyDo2weeo1xjdvH5iNnc/Ga+DOdmKJ14Sgl hLgHrS9nw7UGML1Z+fpHEB/txLvPvIitA9O2+Vrn7xB94ATZOKGTD8N/syTW 5/mYwewJWX6ImPe10bVsPz7Ga30cXdNfipSde+feJXiWnlXh0Di5DY2fW9sY EJjmfGfne7MO5ARFJJwY7kRzh/9mP47uA/LXo99+yzsx6Op/WV8m9QFDxen+ hNPEeKzisfyAEJtkPXqrtnVijP5vjfG7hBjfnAv/7DpRTv745qetDIK+WtVG T+5Ef/qWeE9NYt+majAPJ3Ug37Fxc6UvD4NuOB08daEDXbS0Nmn8FiBt5D+D +a4dSH9uSdvBzUH2O0fKqS0dyMx5WiSw7AP6aEvyXgLzzxXGpW1ngab+bdna 38Q5UJLFOtcEYLHtSs/Uvnb0MR9bXktSgqfDy3/zLrZjmMWsaXyXEuAc1lpk cqAdafOM3TcSOsJ06yySgVM70afLP29x6sHsisp+6ZR2HCCpr74RJoOm1ITf a9XbkXTkETN3oALI5MZDHffbkHTt1L1LG++gaXDNDr3bbcif4pw6WYcFMY0w b85BQqcljIaBKRfjOdus0zXbkEbL9D16sBvt1tWMedXfitnh0lLKFhHSiiYs ofW2It37ZENOLg/IFyezQqtbkRbhlbsvgYtkZU2z9sFWDAh/pR5FV6Cm3PHo ZAIzFU+qrNvlSN0Ynr5lKpEfMSu74K8ELNLzycFPCB1bu+f7k09VSNoQd+/8 zRaMH9WhznhYCEOzfvl/sm1Bfw8GNXNOD5DmvNpgatNC6PVj9wttuGhhfXh0 zaoW9NLRyhukCIB2/kW4ll4L6t/gDuvslECT08Dqx1NaiPdu9dms+ivhA2YO 3VBvQRJT8EiDdhjCnu66vn+gGSmRARKjG1+haawijxbQjHZfusmVwh7kXN0p Mt/cjPprXRd0MZRAajz59rYKoYv4Cy6LEqqRflSid+VyE8Y+niW0M+VjTE7N QW/PJuT/GP/dN6wUaIZrzse4N6Hu14iQ5eQGYA4lKbUPEHiL063+KVzIbmVT NPc0YT8p2HWEuM/k9qdzV+5sInSW9udruXKg7Zu9PI1MxO8KSSkYbgK7FqXx kXFNSPUMW9L9XIYxk/440N41It3tRDdQs9DpQnG/nXUjod927LWXc9Cnx3vc kbUE3vZ3wYSfX5HMtr/0q78B7Z7Fei9P5qFP5rdMw6IG1Lk64nsiVQjUZb1T JkY2IGnEzEltajqy953JtLrWgEOp6h8T3bsIn7NsadXpBozP072/vbYSwiR8 x4x9DcixlG006GwATxu3b882NiCfP6A9NbcVaFfDhC29XDT1m0IyJ/pm0xzq 5AdnCJzarfn1SjXQ58oNrqhxkeW1KIN6OAF8qtya/Z/WI2spXp34Ox0Zb1lW R67VI/OIg0GIoAecwnrIuQ71yG/Nmj3rkww81yX5/Dhfh4wI1q2u8DRgqybo 3Tepw/hjNpJJk3lomnLiOncuMZ4RzRtxSEDSoYJXftPqkLVDZ19QQhVqrlCv pOnUoYuIfT1qnRySVHK3DEhqkXFEmRowXwYxcR1aCYJa1HHRdWzxEqD/YHhc N7cWDe3K5/Vv78L4kzp2JliLptc/rlUrbkZJeoeiXasWUxqvhumHyVH37uBu Ux4H7WRXSPNEPLRjJ9VrczkoQQcH9vNeoG7zvu3F5iDdPrfTsITwSb2fqhqK Oej+Yvuxo4SOZ+dszn4fzUGq7TS7hxYJoEuaO/yQwKrL3TbV63Wh/8Kl9a/C OUgubTpu8LEO2cbzT+8/zUGLp5JZ9mYtGGa29rrOPg6yfuRYnmNK0K6U+ydi KQfD/pbMPlpYDZxxdpTexRxkVlyw4F7sA83CxCaR+lf0DP3T3XJICvQniyjP 1L4iTX1Bm5E1H1h+jrtDt9cguSMZ9joq0ZQa5V+pVYMBsfm393kTPL1xLrc5 oBp99B/ttFnejpx+FcqhR1XIGXEbTxnTg/Q5ZPKZRVXY7z+28Gk4F+nd5e5W wZXoVbp18EM54ctmB3x/tL0SYy+Zti8bR/Bni6bGCKsCk4zamtfYSpCj8i+Y 3lCODIufyHlZB9Rp7731Z5YjebkZyyCuCXwCWg2W/WZjvNWKbTp7eEg/QmP6 ydlI23HmW2oAoWOPbInofMzGgO1z3nasVgDHYMn54pNfkLRAeUZRfhP6+SWe aFyGFqwMn9rCPojXeLco9E4pGrkeGLDxawTWQusKxY0SdHtqcGxLHuFfb9Tp kScWY4pfXv8pPxGQvCZljhtTjMzn3rWJsYXQH/j43I34Igxam/RfzM8OYM48 mZd5tQhtNmub5jkLkD/eNPsqtQhZNQ2uJfoC0MxYVlDPK0Q/x9jbcKgLfI7X fLjvWYiU4DuKdYsI/pO+3FR6pBBpySu0op0IXhfGo9F4FlLH2vnE+rQDJbXv 528NRM4k+b81vCrgD+9RzMECbJt6vsMumNCzArl+xIYCHNqfETc/VYDULFu/ 7f2fMXbf2NcFzB6CB1t2xV7JR7vG3wbB67qBYrPP5fK/PEy08Hmk8qobSWu0 yseO5KHXHUdOuUCIfLUFY1rN85A5aanr+VMiYB39dHd6WS42HTjg9E+Vi4z8 7wdfrcpFH9rrcr/TTYQutOrzm5uLpD4z/Wu+UUBKW/Ig7mk20oJf2pFqCP+3 sP/N8OJP6L/Du/QAEP17JGdP+vxPSLKJ8FlxtROoz+IirSifkP55q3+xGeFf 2TOpPI0sjK8Mlp9fSPBxY2jwaEQmklgKX4dxVkCqecnD2RnYllPjdfNUD1De Vs9KExK8NhqxMSWSB6zxqxKtJqcjS5V1+cTCbuC7dYVY3vtI6I4Ha874dSHl /JPDNiNpaHrFt7XBogQZyd4/C7PS0Ku7Xn1xYx/yw6tt7V8z0e3XXLe9+wVA YbROb/Bkou7jD5pFs7uAumTlgl27XiMpap5VI15H0kOubYBmAjKONkyNmhlN 7Af73PEXLzFS+N/cnKheIN3ZvHXvlpfY/77msMj1CzC2/jhetvElSq5oHs14 3IOsrSvRySke470+jJ881AwMh51D7nfiMKajt1vWS/TF7rnze588RnJMdHVY fi2SaJWnlguicOhE8AGb7wok+ZXJ9oZGoeEOzaNHirqB9Py2t3JmOJreDJrr 8rkYGD8cbwaqhKO+wHso9AbhSy73VQQ5P8SkMZ9MEs4R/W848KM5MwT9Aw+9 zFFVIkkluEOddxepF7a7SB4XA8lz15HFy29i/LroMf1j65EUVuvn3OGHVdO+ rdi/SgCkyAptUp4n5s96N8C2I967+taJAXZe4B+WPO8k4d9I/hfYGj+9wcK+ tGPCWkJHb7pUrH2AAfSRW/sXJ39GkmuIT0XybdAdc99w6a06IHmPLgqJvAcD p4p+f9EkfMemNR/in0VC2IKsXyP72Mh4dsvqfWEUhNlyFFs76pFR8CgQ5r2A xEVnAw/OFgPp7+jntI8vgPTZXLv5VyIy5tec9T3wEqibbmjMluUgaWNI7ZPN ieDTc1UcvIDY3wxl/6rKROCce5dhFM0GhnLK0dq210DftvTvZWcOMsxShfOE yaAZyz7+IFmJjItZ6hNXvQfV3UXrG+bxgQoVWV3xHyAl2uDDk2ExMOzmzkyO YgJpfF5b/YlG4HNWLip2TQf669DbdlZNSCkMnPeoNh3iw0/Ji0uJvsT3timt Sweq0slblejn/KHqOZVZGWA86V3ygK0ESI556s4PMkESt+ZdEDRCPGupmsen TAiTt1xf4CUEkr17HO9oFhg6zW5Wc5MjnTq9XNU9B+g6DWx1lVKgLhx/znhc HjDCdDv2BJdhfH1pYPlAPtjhOG2TWwR/Jp3yuHuhAGLMblD6H4qRrhNqdbW0 gPiu90vUs18gf/TWhrEaCE4qqtP1Eon3wzzoGX+QBaauF/YupH8F0n7HLctU CiGpVmV/CJvwO0MODQbRhUBelMP5rtUMzAP95ygjhC+pVFV+caoDipmGQfKB Egi7+e0/+yLC9+w5GOiRVgKSOQ/0n4YogLQlytxpXBn0L83vXX6OjZqnTH37 x5eB8EXvtFcjcvRxGDwinF0GGcc5cbbrRMDXyw2dvKEM6IbbzvYntyLjW5qv ragMnFqygy4Ii4BkV4ttf8qA2hMQleKXCT7mf3hvln4B2vMZzBtjiX5NmvRt zJYvUOUtudOYKcP+qJVbu159AdPhlR/ex1Qg4+zEhYvmsmHYtOpc0XMZ+FBe BTsSPptCv5mseUQB/REPay5nsoFsE7U55a0MOGn3p0w+VA5U3kmbOQOZoHnK pC6jsxzo62/6he/moVPiPM0xqhVQMjxx3PNdMmQtKr3rCxVgma+24mwdn4iL nudXWQEUNvmYuLYNOJL6yMr2CnDLuS+sXiRBH4+7/2JdKkG4sH/zjZMydJpx fmiXbyWQNHXDl+88Cz4bD4/2ZVeCX9vJCTVnleCjbVyxQFEJ/M0d+0t/IPq8 2+B5a4DALludU3/WA2Ui/URXVhUMCYpji5PkwEq4lpiaVwVhiwa+U8L5qBla oWO3sRqCjJVekmlK1NyePEuwsxrCrixolyXVAcPn5NRCl2pg1bwZN+JcBT4z XfROX68G6v0V03JKC5C1ZEiyfrAa7GQHZwTsI3T7uw0PTrnUAEtKu3/Svxmd SlWoJyJrYPjxfmvDLxKknF1mnpFUA+b7Wihd9b1gGqw69COlBuy+T466NasN +xV16xqqa4CUFXKKb5iBjGZFbqbjVwg7Nff9GwMxaEoka90ivgJlafzAABYC yaN9odafr+CzC+iVntVo5BGumzeNAzoayn+Mil6I/zN77+RZHMioMY3+2iGH MGtbQYwZByTUfPeTJ9uQnJLtsc+WA55vO6LGWAmw/wf96AZ3DjCpao2uZuWY 9Fcreq4HB4y6jQIGquUEH53a/+A0BxhLnQdPPecAmaaX3XadA+6X921upPaA Z7sbiSHgQMztBKV8H+GzmxWbZ33ngOpp3mbXsVKgWDHdMpi1wIhn/pAeJfZv ZdBrh7xa0F29/LGFRReyirxveDbWArW9Wl9+phjCnr+mOzYR448HLzwzawGW Xf+8v+p1YDMlU9xu341D81NWT5hZB0HJnZ1xKXwgF7KGmLPqgGX11JJh3gVD E8xHbQPrwMJgU2rca0LP71n5YhiJcz1jymitInSAd4rRNO16SNSIzN3+Wwr8 cY2Hw+n1EBZyuu7hQBU01d3hvbtRD3yx82lbkQIoQpOm9IR6YHhlagZ+6ka+ yxad5vZ6oCe+27kjLg/YIV8n7ZUQ8Wsqfihn8YBxP/K5LJcLzGDbGtchKZju +S4skXOBVLZy5sGeBqLek/MZP7jAPqQ77UhSE1BfxY2cXc0DttWC1ccseEi5 rrkqwZ4HFBEp9hFWAUdjgnC2Jw9MvR5PHtWS49DA9Bey0zzIHlYs5kMXemo4 3c1+wQOnLytwal4fNMVwg1al86CqxsOU8VqC9AWKdfkrGyDeclPUb7V61Dwd N/mSZQPwL+z6vcq6BDmbUx9lbWsA9VeTdMZViTAbmba7XBogpGU0vGuTGOi7 z/3UudUApP4JnYvnfwH+fJs5g5qN4FkTo677ggOkT9lGhymNQFpP15l1PASc kqVT/vyf11tVi/JV5BDkbV3z0KMROAs3X9Oz7EXdvY4BKV6NUPLot8qsGsIf WBWY6WY0AvX65xUmVwsxbNeESRN6G6F/9cyBgbONQG9dYWKjJOr7NBh1BNAw TPFv8e4/jdB0w97M6VAvGKlWXl1k3ASxg1MUMZNFSNapCPq3qQkCYxMOpBr2 QNPPg5F7XZuA8mp5o0pKGfK3HiSR2U3gmXSy94u4Hvx/fv58ek8zULnCdAvT T8BgOa2xu9sMXmrJwvT7fUib6lr892MzGM0MdtVz7EGqOPTXn+kt0H9+wFln gI+0CJ3gw0YtQE0L857XnA6M/oUpHxa3gDo4fX6jJ0aOc/i490sIPPv1252f +9C/yYmnvasF2IHu5yUGCoipXnJ/hWsL8NW0D5m0K5By6Mo3nctEvfvMiR3n e0Bipr/RO7IFfO6ferY74yuy6iMmLsxqAfMZx88/n8fHpglYy2sg3skW21Hf 24Sv9RIaWPxoAc/utIEvnnx0Wk1+2UhqBR/Xj+sTyMVotHVpoe+GVgihfpmf vVKJQ9ZTii0PtQLjypOzD0oKgf2PazT+cCuwPvwa4ZkT5x99Mq/gDJG/7Mzr zz+bgT1j1ZWGkFYwGnPR/cqLXow3ywj0TmsFTWF6CD7uhaSShNBUZSs0Pdq9 9mZnL/A3ziq6vK4NSF26UZxRCVKvdpaa728DviDlvsr2KtD8rP5n16E2Yh7H rhcJSogX0e/cP98GRvrj9ixd0IfxfreScqLbIGhnccqV2GZknJekU1+2gd2E /cd/atdiWPH49PnJbaDpNjFgYE810o4+LDb71gbxU08v3z65BGiB1elKejs0 OVmOHSvkAenVvafPCB9C+rDq2FqnCIj5Nj76VUk7sBakWe5blIP0CnZ4Ebsd VN1Wcr/s56Pknp9B1NgOoD2cXp06rRPZVQFrzBZ0AOX87EsXT34ByXctj97N HUC9+DSKszoNOEmcRfp7OsB9bVwfZ3YPZnPy6GcJTAkaWVQ98AXIS7kN5sUd kJ+zsibCpBtN75kc9fzXAQP/5CYdJXwkRwTNky7uBLfDvaaXtbuAfjjMPuNm J5g2n52nFUC8e32P9TPzO4E0N5VBl7KBlv1goYukE+iHHj+Kdq7BNqPmU3/0 +cCPGYsFfiL058TGtK7iQ9M4r9BiYT2Q9+utjrXig+T9sM69OZ0Y+EK95jrh m0ueBz20espH98OhZo+P8oG5YznF4RwXmyq0Bd53+eBzMGrGB90esPEId7xE YHNSrNOBGAUGzRRVJ4bwgbL1fohqVS1E+vr2DEXwoWpr0MWd57uBfnepfWwc HzzNvo1cfKoAdmYsWS2VD+59jRa/bknA9ITfmZu5RH3uY/nczGbUXPFHtrWN D1wXpzj7JV1I1l0343Ansf513xzufOjBDKa6w5tffNC9pjKtZizxfk6F6FWS u8Cd9Y/dqimHEI/Jy/9u6ALVnUENe6q6Qd4xec093y4oib5sHMQj+Mf14ZPH tV3QZLZVmGHSiAHTa+u+NnZB/rj38P2sHGPuaZRrNXWBU4zBPds/fRj7smfi z+Yu4vw8jt5L7wEX2+ZzLbIuYIinLz8yJQwYNzqGdyi7IOkS6Eby6kDzRNCT UY1u0JVsfBIzJIIBMxPrtZRuSHKjCef/7YP+POb6trXdEOvTmJ7oJgXSws1C A6du8LFc4dejKUavGz+O7KER+c86ft31bkXD474T1M90g+WxPTel63rBPG+q TumtbrDjwZQSwv+7xOwu/xvfDe77a77nnO1FuxOO/8pSiPmSQk+GjZWiKf9A z9bsbmAuU0lztK3HqqM3V7tXd4O/7GK033ERGB4fdV7B6Ya2sr8qb14oMJY7 osbt6IaQhG82wrIeIIcND9jPFABr3ON9XJ0K0FGIU97sInAI/2twaQJyJg5U t7gIIObDmenHFYS/OcezuUcTQNIOA9tc9V6wcBL8F3OK8FXqM7te2ciBate+ 2v4ckb91SvCcABaGHa67HfJIAPSrxi9n7yuAtqjPjgvKBGAxt3HGxU88NOSb xdq3CsCoXO40UVQPJdV8ka9UAELVNu8vg30w7BQeNneQ8OWftserLib0rdmM 3ESSENjvu1VoPVKwe7KrxJMsBJZ/bdqxuBaw+y28Q9MSQtPsZa5JK/tQ3d9x 2zfCd+hkX4h5IRODxbR05Z1zQmBUhnle8ChEyfASZ6dXQqC7DHZwJ9VCdmR6 /shrIfS/c/nNLOOh5t8qJqQSuP7cm4Vza8HFfdG56+lEvHF2wLajIrCpzX9/ Mk8I/tfvScKEHJTkGcfGFgtBOKCtNpioBMOzwyq+FUR88cKgr7ZpaJn+r/1f nRBijFc6jlfvAH/j9fbBw0KgSl8+DjuXiPRcXV78AhG0kfnNZpt6Meibc4bH ChHQjcxXnHYmvmvs4A04LQLmdLMNNffFYNiluSf2jAio4f8GyCFscBcaRRb4 iCBSwzM3NFsBxpnfz3iGiSDIfrEpfzcXKdV+zwafi8AxZmrotq1iiETPB6tz RMAaHMgpuZEMPnefhSvGioFf9/epvq4SqA3flXO1xeB10X/py6E+GEjY/Z/r NDFwDldGoqsEHUW+D04TOtY0oartukMRevUKDvlRxUAt3Ha5szsZ/Th04xmX xRB42rJDO14ALieuzGA+EEP/NJWf/R61wCzVbBxKFkNMF5m79H0vmtMaRt1S xUBZ9mf9aGk++tVMb3GuEANr99Q5j0II3f5mZZOMKwbH1gBu6wkJ2Ji82LNr Qg8E8c4vfxzRCqpnmu8u0+iBWGnq3pyvhN+4SSI5avbAgPbdVYdjuyA+IXey MaFrg77sksqzuoF9q+iDrm0PCDMbj78x7UXV5hDSnrsED0aceDSVTvDYZf/r Bs96gNPdZnzcuQ8cZZ8cKhJ6IP6ZA3e6qBToc5qnpX3qAaexaULTT+Xo5jw+ 9WF5D9BPJHgMNbQhrf7VlPPzJUDvUNe56Z+D8pf22QprCSSZdizxG5RA1bgY n5luEqA6fC9dMVqGjvuCu4euSYDZ26+3sYzQFxlbLlk8k0B/CDlk03jCJ/0Y mmvyUQL+8kaq5dx2SDRiXanLk0D86pbp5daVoFrwqsBUXQqaHZ8a+ndwCP4t PjFmmhSG3rjUzTjUCT5RGwwLt0uhaqOWy7WrfKSYqX1zc5KC3+UK3XBzBWaX mdz/74YUbLbwMoxvC9FCxfW3xVMpxMh3HtJdVgc6HiozXBOk4AkpsWJaN5LG 74hKTiV4LvxUialrL6RkLVn6RyYF1trxs0SCBDQHxyk/fkohsd7AMnKjFHRU aU86N8nA/ey3d/m35ZA/ciY96rIMYiZfzrgfWY8x4+Zv0XgsA0aA2rLWs2FA 1dKirUuQAX1Dfqi9ezbGlueOU0+UAUsY53fySAM0Ndg/ViTJIOwFZdB7nByq Ek5Uh2TLIODbxhm+17tAOMjeh02ED85OZnvYtGIi75G1xrhecOw5/EhSIwU5 ZVnvTa1eIG2Vj+Vmv4Oqk6dtcsMIn3WL++fJIBuH/SZdHSV8l+b7ZcbWvztB s8zTlvanF7LvnMSsg50w1FL1bh5ZDonhi0vXnlEieUXVubuz5NBf6D1/6toa 8NfTn+xqKAenJxPmekVVYcx9/lmfZcR3F/LTVJ6J0eWy5WTqPgK35M8O/KtA 80/HduyUycFYu4C3740EuGIdofNvwue6GU6/sa4OhXfu04fUCB9QVbllzptO QueGH5im0QekIn7e4ZOVGDs+Im7r0j6wnPJEqr1Mihmbtxj3XOwDqsm7lbfe l+HQyZu0U9f7gDLq+Xm9tBsYQZvujgT1AfO7jFXjWgr8qOArKneJ+JiRRYH2 pWDUGdnzOrQPItUqgjo8etDIepgxK4IYH9PN0tWTwJDx2to7SOT/MPc54SkC Y529HzMq+oBj8uHNu5cV6HOIGTle1gcpxiJVnYUSFG6X/1Tt7wNySFLRiYMC cFcy95WfUECSiUvYkuB64CaROPlXFET/iwnPl7cD59KnZmmcAqjINL3gosTY yt3ePzIUYPF22k641gP6RQM+uV2Ejyvl8HaX81CoDquyhAogHbpTz7kUhbT3 cu1rQwoQBv8NMrjdhUGWq3gO6koYuo/v20Q9SNtR7+2oqQSLV7/0BQoZMma/ LVDOVAL3mG7Nmy4xVn2z2PtgthJIXqZn/qnVg6Nyv/rwGgLnRY6xyiTOw1vP be82JfSnlfnkzWzFfKdXxys9laD7X9q42M8iZA83X4m/qQRJQV5ofJsMdChr bmVFKSEwxPrSzFYpBCSxCi88VYLl1cobYVY96D+4be8csRL45q7RgRvZGOZR G31ghJgvaHG/zvQU/B+ryKiW "]]}}, { RGBColor[0.38822480000000004`, 0.674195, 0.6035436], { BezierCurveBox[CompressedData[" 1:eJwVl3c81e8bxo1SKJUUhUIoIipE0S0iSlLKF5VRVmUTkow0hSQjhVQyIsmI iNve8xzj2GdwOI5xbJXq5/fP8/nj+efzeq77uq/3JX7N5YItBxsbm8Pq8f/v dbXJHUtrU6FsTpHN5M8M3Lb5N5avzgTlx6foKRPDYGa1vn7+aT+wSr4tu12d AHGZfsi+04VfGtlf1D9ZAKkHjd0l30aga8PvuwvVo8B1pWFN1q9qKBAnjhlE sCAx5V6C2Hky5BPnpyz7x8EpPqBQ9tw8DN5pfPjjQQ/ITH13YJvqBa7QH6cz VCZA6US/G0cRA66VP7fSExyBvkrxUZHoeHAY5fpFyJkB0R1LX2QqZuBHhWFO d9IgqMzs71SoZ0Ir/5WKiHIaHFlDCwm8Q4VHuhs8soUYEMVzSOi7SxMUBZsa zzyfhmbTUyUy5Qww30C7MVE+DJ79XfEC67vBN/K5QPvPCVjXoHsxP38GPDdw 6+lrD8Jmho+aefUcmHgbECYv98C1sydU5V6o4d9fbu8j3s7Ac+ckvx1eC+BK oxJPdHeA5fa+X/ioGjNfKYj5b5+DitsXJM1MKtHCj5X2tGUWpE3arnSaD0PP iaaQhA2jMOcZ//12KQMyLrhv7+6kgetevWv/KdSDY8xsnPbSFPx65LudkU4A IUmmqOyuSXjxb7r44XAKCh2K5PN4OQPxJJn1wqGhwFVFfSv2lwWTU4uWR/6k o1+VfI3oixnoykuQrnbqQOeTpxNTueZBtE9z3ZwxESZM2DfA4wkQmtJWub+j EgucapzvOc/CBhVtl+1b+yF/g8Fdp78MaLBd+o9s1gSXSx5mWc9MQs37jc++ qCAk7X6kLPduGvIk6TcMlVuhfcT/3UnzSShT6XKsPjMOIgOpdb4RVAh15Cn2 TOzEVzwC/bG/5oBT0fMYp84sGCW2Dugr98CLUIev3DLfMOVK0/7WiBnY/En2 HvfKDDgIHl+7rNUD44Mv3NIZPdjL6fnmqMk8uFhuX/LZ1oES8eJdeYZzoDLv t3PfKQo4cYlo0Yh0eCpdcaD0BxFnXcIiko7PQXxY4s7+2S4IzzUs3LV2HFLd jD+6F/yAf4++lm50n4K6bD6f1++IINpP/mzdPQ5BS9z8K+0/ULb9W6LyyRn4 z++1k/a3frB/mcNP3jwGKXllVKGENphPtDQOeMAElzMXT38u7kG7h6onD9XO QTrhZPvXbCqYEXS85TRGIFzJ0by99Acc49t/r2V6EjyoJ+sO8b8EG3rIPY3X 01BOa127mNKJFjZsTZz8c1BZXs88WlgD/TmUkCu+E5BWZHrshPIs9G62zkep TgiKqRI7QBoDtitG2i+lKMAjfbtQ35UOH1a+NVSfoMKzFiy7SpwFns46ZkAy Afg+yYUJ63+Bc1crD0YPTcIbzvQ+6VU9zO3HT9hHzQJRu+f3N4N2uOWlxl3C YMClrYmifmdbgVvGIlDj8jiERfAWUOsZcKEkW9TyxRCEPnv2IsR7AAItTe5l 7qbDhm1Cbl+me1D9b2x/0J9ZWPAxWooynoLIh24Eb4ceyFdyzubeS8KLPZF2 Ts9ngVP2vL4Azwx8S8kvO/G9AySXSOS4EyxYtOCXawnogohjx8ZC24owQrt4 Qj90GootnAotLtLhs6BRAv0dGWSrrrXs0m+GlqePDqnxMsDIKVjs1XI7qlxh m/h7cAYU48LnRbrIIMdbn/Lahgam/A1e2SY9kLnYVGJTMwKaBWI2rzb3YXWd c94/l1kIrTRJ0rXJBZ+yg9cJ8UzIkeQp0CmfgqbqpRLZQ12gtbAzwDdyDpIG npczPtVBT5FID7ODAZ6GouW3g/vAtS26Sod7BOK15VVd3clwQDaWTV56GGRf MAisKTKocYipdLP3g8ML1Zv73IZBiNC8Q/a/fhDxn79qLz8Mrfp5Guvz6VDk eZFb1GQQBF8LGn+yY4Eis/B8TwoBfqxcvm0WOgHzZq6sQNduiLjMayL5oAHq dlsPKl0Yg+amuYsHYgYh0v55L58hDdSP2++yUkyC8w5ZEw0nmBBhm7bvaRkR Uj0J6hK/R4B5sC1AWGMIVcnM2M3nZ+Hk4fSm5s5K/FsQYxNnNwWutR98bzt0 wQ32WoHW8GEwN43Pm/6w+u464qTTNyhgquOmdd02FWT6TJ9Ky47DjyeRsu7D OXDomLOW+TEGbLgz8aC7tBv0BKTt+JNosEZliBV0fRIK1x8refubABvtMuUe LbEgSXF0SfVGI5zcdEs62roH+6famfx5LGjjbzv7/t4MVA2c2RbuUQsboxcH Nl6vw6PjXtnxEZOw83Du2WqNGWBz5MkDjTrA5yR9V6EJIGiEOLX4EEE3SGqg L6wPdDZav9RZoUAJ5cvuCJNOPNmpsWJHmIaytlmqeNIYmGwy0hXt7gKJqxou XMH5UGW3yTuAfQy2uvb+vXJsBvYd1fk+ElYD0gZ3Pe292lD3Mw/tpN4UvD42 KPnsSx6ouQZVNQ2PwlNl4yVRnUG85obx8lwzcOzKqnvjp8Cz6p4q179muGXw bu8tPhaQDV38HP9rgD1f/Sy+35+B7Ia16W2JlaC3PmnT9ZdlUNn0ImDuKx3k 7/FZBwZTgVroZoxF/WDj2bkVH0+D+mlB14x9jaBKE5EUu9MKvCyeDeYuq/qo bHG4t40CRuyEb7fmB8Cu+NCl/VPFQLn5zDCsmg4Ocf05bpqTIOb899xXkVbI 2su9ne/sIPj3yM3ENwxB11HeiqiqfNA+Lv5FgEoHs+akK9v0mbCo1Do3M9wG Cym7spOgH98FxEtyyLNAknc/X7tgL3jQNWxiV/1YfTNgK9+zPkwQuJc/u5EF qUkflLyr6MDWTonwmuuEofMTRXWkWcjmkXod2Z8DXIW69H72ISxsSlTY8YAF Sywyim5ave+/1C+Y+x1E1gZs3fK5C2SMm+oTvCmQIX5Yw3puBAgmWps87nbB w+UVr/lDjbi4729ITAITLm9Uj7mw/zPQ2kNI3E/psDlm89sW8Q7YK64pOh9G AdrtM5IlsmkguN0+YpMRHTRVreT+r4PGe1P5hDM0aKy+MnkkmYwnFxjRkpdY UGZ0w8pdgQmK6fXexgeb4ZdWyq/3dwZBblP3SKlYP+QJPP7mc7oJHfQvF/lP jYNv3nHXSEotmFq+04y7QoMkp9FjKrPFSDbl9NvYuJoXUrGpxFQmhB7vL/nW 3wBL9SNuPHar+8HiyE/Czk6gx8QELOmS8LgzQWL63Go+BMt1lT8jghFx7Gxm OBmiPz+py/jXgIqPtt79tsKA4g1xthWcJDyqaeJ0bXgCSAIjR+13TwLJWfmD /LEqcBfdMoUdRBhXP7y7fBcZEg6f0jqzbRjqNM8HR7l1wAyynen3rsJY7syA MYsxoAz06l5z7cCnX1/ysv6Ng76gzAO3cSpkvPdy/z1IBCF/sS0sqUF0PuZg dDVwEkyMJpqz75BBdUihMcqpCyKlzdaMsGpBRY8lJilLgQS1no68Aipu14d/ SstTEFctPBXFmoL5Y+N/VUaz4XO6ubdA4igcz5RfbDhdD6OCEo0QQEAOn50i 1uoMWJ/Zu8ba9xp0dW2vqe6iAf2gcIH+KgfG3/xpV+baAqbH35EeRObBswXz hwlqVPAx9v6YONkJ3k7y8f2vemHOPmxNWMAkbCiXuLnSmQsRnOIbzsh/g9Pl WXSnMgr4H63lWOtJxEz1v+zna8ZAO0Ao55r7DOhFMdfy1H/Ass2X/UoKutFM c/EKMYyx+p9XVw7rR2Bd750PiktUkPD1i4/hJ2ESbd7i02sG5J2nf5zYX48X GmzY7A/QYcuXv3cjSA14Rfae1yUrOnyVkVcXSp+EfVWBLvfJH8GJkXBquDoW PD0/8PpzrXICzaupc+MUpIUczx//kQTSr6MZVtdYIFYvylh74QWeurGuaM6r AIt3Nzwa2TwMO+frl+W6V/eJTAUbNTwVTaUiaPM0CjzInSk0MmgB7hHVvL1O BCS8OlS1ef0oxEr0MS+9yMTHe+bDlla5xOTx+KM+xjts0YryLOOngiVDikOQ MYCvMt91Kk4wIFDGipPddQLampXWSku8BrVd9yd0PkSA6ZpMLoVxMrgJUf/7 72c5Zp4JN02ypcFaUUhI0CKDTevZNx3JzbDrgeDwREcpPIltpm5aNwAeCaes 971hgtGPXWGa3C/Bx3ygWGwLFe2uyr+L7RqHZ3Ey17TUG9FZvHgr9cgwrP0a 4OQXTMTqZ6dtDatGoLg3ue2oYyRqU2ym57zIkBz7i+PJh9W5+Ba00r6rEjxs lUsDpRhQuIlHO+1QOuwkn/g2ljwB2QKZpjc3RuHHE9uvb+4sh6BKrweOB3ph yWDucrM2CUnnWcl9H+hw9a5+uM56KlYQs09aTDOA/r6ax1Z5HNg2T8pPNgvC dtnuCI2AKYhv6Brl2JeHJraLH43qxsBoqiO21yRyVTel/FdMMoS7lvRJJVXC zq63z7LpjWg+UPolaJV/Zcu+1Mh3kbGsOaaesH8M/hMPPNhsOAlkY18zhX95 WO+889JU4Tgoyp4IyXr1AefnrDL4yhigyDePxsde4ferf6B+tQ9lK/sXyr2P w9zcmZzEqQEcJhB9H3rTwdPA4nZfdDIaLP8115nrB8viPVtE31JwYndxcmLz KFjpaEeSBigQ3/9Z+AVvEeyVm/FtGWPCSrxCglBlHj5O4Ej4dT4X7U0iDfa8 GwDiJRm7DHEWHB+bXrZfX42k6ZC1Uo8b8ewmiZapRDJ4Gw0z20Py4YkJ8dNK eydUmt3xGA00x+BnWzwICyTICanUGUsfhexWg71DGR/Q9u0Ok1z9erzeSUo6 /WoIakvKnX34KuCm8ifOLm4imN2QOmbFRcNe4zGJHU/ocMjQ32bp6SR8Uin8 zsVdgw+2fU8P/zQJEQlZavxGtahy9VD10+9t4FAee/RgfD0o7qmIiVAuw6O8 WVxvRnrhgZRac2JiOSZW/jxlp9wHJdwNVs4CdKxZ8cwfqB+F/8qL8+sWulDP 4fxMewgFgs4zFWTTPkNo10CHWwQRCqra1MFxBDb3rZ96QEzH6OGE/aocBCij FRL/sarhxzpTlowVDZ9WKH+MKB8BUZqhfsR7Kn5Y69l0TX0EMu7dyn88SYf7 5DPqXnpFuDQSb3qUmwpCyzqeXvficGjrwhsXWwJ2i3Uz6B0DIM1duvA5loJq 4Yd9ZuJo8I8RydYQ2QJaLxqysjdUQZ7Vf54EYg9+q5v+4zREhhYfiZFctmE8 zqHApdw3DD85XqZp6zBhocBP3E+0Ae8d++3n30XDRsmurVxxw3D9BWfN1AoZ rYTZZXrIVBDY/3Q4hD6AH18++Xg0nQJJB75HmUoNgia/yfl3u+zRSHe39NO7 NOz3eXI3sY8GGw/0n3O+MLXqp0clGk3t2Lz1wUyqfhVSuU6kf+XuhqnZTYxE Dzpaur0yyTMfgS0BEvC3iA63ch7NhyRXIY1v55ktPGUgq5Fk6xJdBcFxmxv4 nTJAdfsKR861enARic0TmB8Cm4pT73w7s7GVZmX+bCUaLno7b1N3XeVcOYLe gMYA8n1WkCcVDEJl38JR3k9jKBUhUOm3dwR4sz6xKqNIePqGIo+DWx/0zZ4Y E1ndh8Mdt3Kf7i5DX7vR7MHeApis40iv7ysD0oeLESvSRIzdkB4+OdAFgcFj V10lqJjhtfvxa24yRHyM15dTz8H4wpdCzzsaoHLgzrr4qAa8XkJsNLpAABUn 07SA011YFhboHne2G2bDdm+zUh3EvZszLOuIfZBNrbj9czVHryxuzg/g6USt Ozpvnl9nwunojdLjRZ0Ys+aNB9uWUdwaPS+le5gK19IP18zYMWFLFlkxnNmJ hhfOXy107IdOTmHFzgfFONQdTV2gj6LfphsfPAOocGqrL+2EYCvGiSYeWZQm gNfZC8qpu+moLDdu830XBU4e9LU+25EOHxvMahQji0Cl2FJWZM8ACHw/pXl9 phyT5l7/KSuhIuXSq3uPTg8AvbXNWGaZiCfVS7f7tRFAl9hwVEGBgbrnF54q 7KeCwv2xBDe3Ijwo62vqOFINV5p7twucboGkyKZN+14m4Hfx19EXdgwiaX2E 7ZmNJJDkzOleN/UWstvUU32Y+VDEd2OpR7gPNowVa65zrMD3JmTpoQwGOCTL K95x7sYe9WcCFfvGsWg5Yc9BJSpoOztLcJ4g4IV1drYGd9ug6/lx0eXOZsxh T/2ivrYZ6v/ZsKm5lUGhH4l63PcxuCR8pBc4j0G7zsiQEL0LTVfqyUlvyShm Vjtb+aIbuA7PE3/96YakBH0eDqFKFGLaGCnwk4GDcQCnDjSjRu3OvRJK79DI 9HSfWX4eqO8XiDWyGcD8d2ku/hkd4DTzKuaWbz++l71vXllDhLvOkzvJXAOo VyNtvZBIhJfMEtHCZnfwM97dtPthEkh472S7XzuGVDX+2xHxg8BopW0nHGGC wdeI92MuA7hY9mQ86zwVje9jkIBVFyhzK8z+VBpAJ0fbFkt+AjSfub/WjRPh qCND5LpUBhp7iZRf/DoA595sbbQRbcOcIY67EUKj+PzGAweP9D5oOMEy3ms6 hMXz0dbVvESQNfzgZnevGsL8xAoThPLxT8ZpE6MvNDSsOMnd+rEbhMNCpT7G 92BW280qzekWiHi3MMtk1GHbo5qYE+9LQb1ZK1WvvhePkMcbpjJboZrQejpW OQeM1OM5HuSu5oxwKPtJngEM2an1W6iuDfqUF4RMhAnYEBsYpTxdBT9idpv9 suxBk7Oh94/NNEHXDhEDs5o+dK+VnLHybYF1TSdIB5fzgPPclgl2/S/IvERL Wf+OjA9k804bqRHAm8EV9nx3Bkoblu/t3xUELrRyj5nv/dD6QfGFxW4CJga4 bLEwpmBbEYoLXCTAC8GK2SP/jaIMfX3qmgASsBs5nBDEDmDZjBz9S2tCxvsQ +fjaUTRk3Gx36SSB681xf42uMSy7ndp5lbMX6P6O47YvaJDzXelqS1AP5q9M mMm7doBDTNjO6PBmPGvPY7t8aAzrLixanFwkweSEwMhAOBX/cBvdfyRDgOHS me3fkABPqOx/mM+bMFdof91ONzrIpby8dA8HMMkrQYX7wiC84uMh7mvoRDYX Pcth5V4c5UwwMEmvAmxn/F7TQ4Nr57+JL5T3oVUKzXuFj47nfobF/AjoAFvx yFE9Jh1WfkhVeXcNIcXsbcG9slGQs+ZVinQgowzJUE82mIntKocWxNV6gTcy 6uTFj4Po3rkrTXaxFhhe5L1VbnR8n3+t1KScCPy0ZrF7t2kwod55h311r55z jXGvnKMC+5xcenRhP3b9nJ//ONoHv+wTHsabdGMBt+Ldzd4D2PFLPfKVVyVI cb23FeOrAR1LNgXXT43YmK7x4O0GOmy7KDV+4T4Zm+P+zdZ8SQJucdPtzORy dJ4eUy4g0qEvjdFzQ4GCSwWChwtaOzCwJeTWFcoXmJsUU998lQz7f7rLCezs Q6KWcuwhvlKg1P/b/eZwPV6uvdyvv78D7gzZ5JV5dqB+pnY8595W4JDzKo5W J+AzB2LJTpkxEFauW3H4SEXpmQe6ppp9wHvVa9nQuwfNbD0ve2cwULrn4NX9 NkR4WvvyhG0qHd06q85Lx7XCG4Uv+QdbyCBtWy10kG0Qz+gJEficu+GiZR+f wCMScqDjnaCWViCPhtzYZrTak8wNFh4u0OCu+RZR030UHHTSL48OaMeyalXV N6JRKHDx47RJ7ii6JHU3ssW0golBzKfJVb+f9jxIz7WugIUSrVdbnRB3+p33 exhQiu0bb6faECaReCFbOvd4F9R5V1gHrqXBDZJAaoAIBfOryC7JNsWo6PRq g/3ecnRnFwpr39WPJGp51ofLmbCBIvbW4E8fdvDmRL5emwHsX7oj7/aucsWg uWqp7SA++r3Yw9WbCT+3rJwZf9eCpuQ9TRJPBuGjnHrdi5AhbPx25kzf5j4c Oxj4aJNNDMw6hUr9xyRhIOtlj3eoCar9MsNTtfXgpftTVsGpC0tDTrUb/FcN PqmGCdnnO5F9ucJPv2cIm8KtBw4apMPB+CumHD/aYIN+kfM3Bgn9JCQ7FidK YPfQ47WEfCIulDBvPYssAdnkmivFPh3olWefZvdmCkMLTXvCV3nQPUv7Vm/K KERU7Xobe5SOQZQjMJs5iXSbbvW8je3g5y+RdbmdBHt1DUuHy4aQP+Lmph6p UeT1mHAUMawAkXk99sZzFNwwnZ+ScSYJNkR+fqhwlAAnd3KOWbD6sThIzIJT cwS6BFueZgWOIF/wwfXkKCqELIlkfeEaRrsiqR8P7SmYfWtF76L3M6DOh0sd 7O/FZBffbbsKslCgNEw/z4SMQt8s3hWUR+Dpn8E5xi4TqJEVESXyox5eseuv T7w9Al+cg9VIq767vYv90B+FSVR343i8XaYR+g6UtgV707FCeH6D18kCmNui PdseS4LLehv4inQp2Hhp86Qidz2uQbupXvcGHNZVchT9/AJXTs6/2dpLxNfW Jbm3xoeQlDlyWpvnHSZf9lef/paOZesfvo7OJ+A+EwF1cVoBpid+36Wj0Y63 Ir8RHs+R0dTnz4BfYRR+pfs/2UGlwMYXO6xYXcNovGzBe8mpCUmsIlazVAPK KvyQoZoRgfqwf/CaHRkTbQQNxa9O4PLwe4/WfTUgvfcx6esmAt7cohw0+7AG l39uIw/6lKPS6/Ifbz62YZdOX533RQoMSR76evbnMD4fqDjw1/8NHnCQqJjd 1IlV/xbTDKAWluu6U4rm+9H5voejVuYQaMk5nhmzGsZTa47qpxchXjJgchw0 ImBH3FlGl2I7sHbE50Q+JuO1WYIzdTIf4u3LSfJOvbjGkd86qo2JwyKDUj+T y6G7YjlOhUpG1VYxT3eebBRiv9ca+7sYcq7Jjr0Q78db96X3P//ei4TbmbVR /uVYv+2Z+vOLLPwV/fglxDTA4VC1tj2mFGhKaW7/bE9Hrf9u0HktJrHoRJov eb4chnzdln+s5kWcm8NVbBvFcxKdUdeFi/GR0blUtbOduF1bRR84eqFuznCt 2KFhVCsxGR6wLILYOJW8soMDODojIWdhT0W5oyHZ/YJf8bKd9a2RwI8Q+KdU WM+5D+UiZqlcV6oxUpS1sXuYiIPN7vcyTzGxiUtEsqIhDzLm3CsWTg1gTvzG kPE1lRiSa/nqwEo4Vv3OeOMs3Iuq1k3xAlLDKGQTy7854DO+3ZajtzGXhUfd cmRyVmrgU/jvvYUKZJwwzSt3Ny/HZYGln48P1+LenzV36NUd+Pptxc5tTTQc vqiUeTs7BxXbBt8a/6rBi3tGLGo4O3G/hWPkEx0q1rU97blBK0Lnq67qZxvq QNrnyv7SnxT0b/11OLmJCp4aPCwnSwbanr704aIjDSRyngXF9THwnG/5RKVN Of631q+0ypmEc9Mzyx8YZbg+enACXvdgZraJ3yAXAW6/XyN2v2QYs3jVvzB2 EGHsgJPuo40jKPGnZ+SIRx8eCJiec21qQR8vF+eDdApG+TPktulWI49x8D7f bAJsj25WtJEZQf3GhbcuS6tz9nN8Z1N2M/6zXrzEJjSDhd0P5qtvIuhn8QSL pBXBgVO90tBJwYp7n/ZdEh1Bv63TtxrGStG0sam51qYD+XstB+fuduCOn/43 BHULUFJ1xVPeaQA77WxfClz/Cj47uisOd1Fwtwzj2ULINLKqsq78ikkDp083 Gj83TOE+oW0xQU1JcPPL9oeb0qpx+sDZwffpq1z0+nNN2b50yONvOZ85QsFt cjk/XAQHMPlrMZusQzv2hcdovFxTheqNg/FKo/24TkD8Ddcqn0yML7F6z4zi juu19fb6bbBG2Wy9+C46VuaO9CXmECGpWavgh+goBnB8E//8qh8XLrtYCBwh Yv+fyR0XVcloNCUuyWfZjuu1f+nl3KSB+SVNYUmdSfQl/77vONOGgmfbZ09e 7sW7QrWpgjZkzDnMYrrfbMf2DlNpM30Gipx6c/mkTgkGip4/fsqIBIs+blF7 oxkoui4cDIcy8Al7c4h5DAV7OQp0o+3IoDlN0svQnMCoM4Jrtm7rRMuci+m5 Hj24XGTmHTIxBF1dtEEJ7wnMdesU5M1hIRvrYMv3RV3cHvNSTfY7GV8eG4qJ 5+xAVU/lK49PFeHPnzGb4oSo+LFK5nSuMQmMuG1VZNYycdetuGxqRj8Q/lRK qBpO4Of1t410a4nwacCecq2GgdEJmKhxehhVJI+UF3S34b3Gi9aFdQ24Xumi jscpMqa5SWbsU5rFJMFrdZmpcbCHj9MvL70BFPP8fSeFx1BWcvGGSnc/nlw3 PZm83I26dYOuVVkkfL/sdEZrqBfPjZ1L+PC8Dd+KPt/a/WYIa6dFbuSr5IHV nuvDDsdWuUPhjde5HhZafX3yUGIoBdcGdW85oJaLGLg2eP/21XkXue2vtsqh krN7bupo9KPR2FRIpe8slhlykBY6HmC14UZNxelJdPxz0ltKsQLDftDCUvQ7 USD41JY/yUPoaaT3usGrGzTuKxp8npzA9dRzoXtye1bfnbNma/UACv/TmArm 7MednLyS4z79KIqmwdFmJKT/ezhklTWIE6VXD0VPsVDIxHXj+6EC/Hc7Qljs dxsaKIkf61ydz73awley3/XhGpUhzc8Gg7h53xM+LSUiUp4v76rOoiBBaJEP dOiootVsnVTegbInDt+zDG/DbSmrwZpGxWf6KUWqOgM4Ff6qcetqb5SMGeUe bHmOHmd489dojOKIRMVIm3gnbpPc9bw2jIJKHpZfX63mNGH6UMjz1C5UFEsN o59qwH1Jv+nRnMMos/dJ8tMnFDSZvBz2MKEPDcjMWF0yCRT51BrOpk2jKVFb o/IwHbuOhUwer+3Grz9PXZxLIMKcGudAxOMprLlJrm5x64aXKknhvnnTaHKf ragqlYktc2Mc89tW+8aZy4a/UxDkPbtyH55lokmDFtOOnYZ/tx26V8nsR90N gdeFrvWCNNv2RbcEFra2axvfjGShjaJisMnPBnReI39uJLsD49azVSWKDaPY 1tEzPtmjOBGS+eHG3h4UHj2u6+DMRM9AzaYEZgeeXTxX/HlwCiOumxamibVj 72ueeSufUbRyqWqO0O3FdcKPef07yOjlG/xiGzcF41vfmTZ+oWOyl4dEgGcf Pnh2RERzhIHk77dg2YKEdUp7V0L4WfjAPz84xrkdm7lsJWvyScCZqPSLS3UG n6QZSU2WmsAlpT7zYncmpq68PVLxhIpGGsXmtylkHA8XbVlXl48B7kmlwSLj +GTNLdXvp2axjeOVh6B9A85cMBjan0UCX8vjbwc8ZvDXW2Ux6/n3OLFT8+dx QyYO3BBuXx/EwuO1/yk9Xu31uophg2JZs6j3IeV8KaMBn8UGO54SnEU/tbC2 yY/NKD4qL//mSxP6PIpPq5EZQ5pkBU0o8DHcD7oufCR8Au+3ZPsbulRiUWGB WXAkA71ZCj4Ov6Ngp6as0V3CBO7WLfz8gLcI/kZNqMCdKXzu+vq19qZWMLMx EPwXz0KzeNEM9lcsNBg0ZKbIElHZ5WsbddWPSfzVzwQ+EHBIUD15iJuFoZKh Bzx3d2Je8PeHD91n0UfYeX3ZWCv6WHGe+yVajpczG8q3Lo6jUcBS2jJPN+ql zxUQO1Z7lvYbE4HcCjihyVMRasDCgYh3dh5JX0HkJv9tEY9pVHpVkpMV1IU2 bcQrul9HMbR6zZjGv1b4uy6o+v7TGfQ6mhKw42wPZIn+2ME+MovdwKD9fjSO Er49dnt8B/HjS+nx9zeTMK/ToCDs6hQ2hJ3a7aMyhfPjbEHl1D7s/lfz72Vy Hwq/dRlWdRhF6XhdFRfTbhTsfXWS9XEM0+1b/VFyDLnJxlvTn1KwYKND61Ac GedNDy6JnaDjZb3egsL+Brx2IvpLjOIEVjxfWrgqxsIrZYquVw36kBGVOT+8 uQuGHbduCraYw9ADcvbETyMY72MUkj1FQzPHsab3KjUYIK488OjyJE7H8n+q tqGhghb7jQD7EXQzWXNaebgGNI/EbKtdmcE07UtREsc6oKxnyFdNaw57TIkW gdVDeIk8baTyfhS9Fkr+Peacx1/HOcrlkomoSAvqVtIfwLjrLN3bKWN4LeOl fyL/PNZUv/3bkdOBPRGNg5HlBBzneJTdfGsC84V96haVe+CQrTf3sZh5dDt+ RNvvYg+W13HqdcaMY7ICR31BahsG79EVFheZRMk9r11qiGnowxUUceQhC7NM LzYtHekG9Y2TTuPn57HNnWHtNNMJEu9NFEL2zGPHzsrlb78bYd3m0CbrHXMY m+zLXvPtMwT9uv+kMGUGIyMmesyM5lGRwrz/NLITlYbULBtP96Cq+pjZ+5lx DMzpUr+8qsObIwq6/GZjmKXV5uxh34V2O1hPReUn0NqMPXwsOR0X3ewWCEwW qsj9faMwMoDPUzfMFcuOo455eH7skw58xx4cICM1iQaLwt4zawn43ce79C1j Eu+Ew33Lm6v5f0lW1W92HJ/Ky57ndewAY5nE5OTEebxJ9Qq40NMNT+RnjmZL L+CohWaGwGsWloRuFNttQcYs7j1XNOzzMduAkuPKNYNv2jPKBg+VwkazbbtF 9swhY33vR+kXvfg0VTXtgf8E0nMuCPG558Ahi7TuyY5ZDDVv6BnjW8BPlNaF tdtJaNihPgvSbSjqZqq0mTSN/wPg1as/ "]]}}}, {}], TraditionalForm]], PolygonBox[ NCache[{{Rational[1, 4] (3 + 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (3 + 5^Rational[1, 2]), Rational[1, 2] (5 + 2 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4] (5 + 3 5^Rational[1, 2]), Rational[1, 4] (50 + 22 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2] (2 + 5^Rational[1, 2]), (5 + 2 5^Rational[1, 2])^ Rational[1, 2]}}, {{1.3090169943749475`, 2.48989828488278}, { 1.618033988749895, 1.5388417685876268`}, {2.618033988749895, 1.5388417685876268`}, {2.9270509831248424`, 2.48989828488278}, { 2.118033988749895, 3.0776835371752536`}}], VertexTextureCoordinates->{{1, Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 - 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] + Rational[1, 8] (-1 + 5^Rational[1, 2]), Rational[1, 2] + Rational[-1, 2] (Rational[5, 8] + Rational[1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}]}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.848521300910386*^9, 3.859193972222828*^9}, CellLabel->"Out[4]=", CellID->653311248] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Possible Issues", "Subsection", TaggingRules->{}, CellID->158766396], Cell["\<\ If the specified rotational symmetry order is not an integer, then the \ produced mandalas will appear \"open\":\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.779263400927953*^9, 3.7792635026073713`*^9}, { 3.77955473289776*^9, 3.779554763835937*^9}, {3.779554960894959*^9, 3.7795549825845947`*^9}, 3.859301821662787*^9, {3.865523583402051*^9, 3.865523585449583*^9}}, CellID->272727509], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "23", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"rotOrders", "=", RowBox[{"RandomReal", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "10"}], "}"}], ",", "5"}], "]"}]}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.779263560002858*^9, 3.779263584554348*^9}}, CellLabel->"In[1]:=", CellID->958306250], Cell[BoxData[ RowBox[{"{", RowBox[{ "6.085484626482263`", ",", "2.9381790110368655`", ",", "3.128109253466171`", ",", "8.847769237462618`", ",", "3.5230051458598517`"}], "}"}]], "Output",\ TaggingRules->{}, CellChangeTimes->{3.779530190254772*^9, 3.779530696720546*^9, 3.779549726367083*^9, 3.779552078908875*^9, 3.779554208018536*^9, 3.779554823805475*^9, 3.780352327932832*^9, 3.780396925656107*^9, 3.780397446130047*^9, 3.7803998590705223`*^9, 3.7804002337455072`*^9, 3.7804003730771027`*^9, 3.7804011277588253`*^9, 3.78040129039657*^9, 3.780401811607382*^9, 3.780402266347795*^9, 3.780402394928472*^9, 3.848507708739263*^9, 3.8591939722437277`*^9}, CellLabel->"Out[2]=", CellID->667916875] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "32", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", "r"}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"r", ",", "rotOrders"}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}, 3.7792505340628757`*^9, {3.7792512092233047`*^9, 3.779251247722981*^9}, { 3.779251430624795*^9, 3.779251433986175*^9}, {3.779251469640259*^9, 3.779251472399377*^9}, {3.779263268206717*^9, 3.779263319015059*^9}, { 3.779263509742968*^9, 3.779263543436346*^9}, {3.779263588848214*^9, 3.7792636572186832`*^9}}, CellLabel->"In[3]:=", CellID->467130647], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{4.3483975999188464`, 2.468083935570267}, { Rational[10, 3], 0}, {7.247329333198078, 4.113473225950445}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 1.4494658666396154`, 0.822694645190089}, {5.797863466558462, 3.290778580760356}, {Rational[25, 3], 0}, {8.696795199837693, 4.936167871140534}, {2.898931733279231, 1.645389290380178}, {0., 0.}, {10, 0}}, {{4.3483975999188464`, 2.468083935570267}, { 3.3333333333333335`, 0}, {7.247329333198078, 4.113473225950445}, {5, 0}, {0, 0}, {1.6666666666666667`, 0}, {6.666666666666667, 0}, { 1.4494658666396154`, 0.822694645190089}, {5.797863466558462, 3.290778580760356}, {8.333333333333334, 0}, {8.696795199837693, 4.936167871140534}, {2.898931733279231, 1.645389290380178}, {0., 0.}, {10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{4.3483975999188464`, 2.468083935570267}, { Rational[10, 3], 0}, {7.247329333198078, 4.113473225950445}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 1.4494658666396154`, 0.822694645190089}, {5.797863466558462, 3.290778580760356}, {Rational[25, 3], 0}, {8.696795199837693, 4.936167871140534}, {2.898931733279231, 1.645389290380178}, {0., 0.}, {10, 0}}, {{4.3483975999188464`, 2.468083935570267}, { 3.3333333333333335`, 0}, {7.247329333198078, 4.113473225950445}, { 5, 0}, {0, 0}, {1.6666666666666667`, 0}, {6.666666666666667, 0}, { 1.4494658666396154`, 0.822694645190089}, {5.797863466558462, 3.290778580760356}, {8.333333333333334, 0}, {8.696795199837693, 4.936167871140534}, {2.898931733279231, 1.645389290380178}, {0., 0.}, {10, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{0.5126849349583985, -0.8585768209465607}, { 0.8585768209465607, 0.5126849349583985}}, {{-0.47430831493340525`, -0.8803588032075522}, { 0.8803588032075522, -0.47430831493340525`}}, {{-0.9990263901421196, \ -0.0441165705784745}, { 0.0441165705784745, -0.9990263901421196}}, {{-0.5500632447700673, 0.8351230009723268}, {-0.8351230009723268, -0.5500632447700673}}, {{ 0.4350081124062245, 0.9004265334499942}, {-0.9004265334499942, 0.4350081124062245}}}]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{2.403992418267825, 4.384155614586555}, { Rational[10, 3], 0}, {4.006654030446375, 7.3069260243109255`}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 0.801330806089275, 1.4613852048621851`}, {3.2053232243571, 5.845540819448741}, {Rational[25, 3], 0}, {4.80798483653565, 8.76831122917311}, {1.60266161217855, 2.9227704097243703`}, {0., 0.}, {10, 0}}, {{2.403992418267825, 4.384155614586555}, { 3.3333333333333335`, 0}, {4.006654030446375, 7.3069260243109255`}, { 5, 0}, {0, 0}, {1.6666666666666667`, 0}, {6.666666666666667, 0}, { 0.801330806089275, 1.4613852048621851`}, {3.2053232243571, 5.845540819448741}, {8.333333333333334, 0}, {4.80798483653565, 8.76831122917311}, {1.60266161217855, 2.9227704097243703`}, {0., 0.}, {10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{2.403992418267825, 4.384155614586555}, { Rational[10, 3], 0}, {4.006654030446375, 7.3069260243109255`}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 0.801330806089275, 1.4613852048621851`}, {3.2053232243571, 5.845540819448741}, {Rational[25, 3], 0}, {4.80798483653565, 8.76831122917311}, {1.60266161217855, 2.9227704097243703`}, {0., 0.}, {10, 0}}, {{2.403992418267825, 4.384155614586555}, { 3.3333333333333335`, 0}, {4.006654030446375, 7.3069260243109255`}, {5, 0}, {0, 0}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {0.801330806089275, 1.4613852048621851`}, { 3.2053232243571, 5.845540819448741}, {8.333333333333334, 0}, { 4.80798483653565, 8.76831122917311}, {1.60266161217855, 2.9227704097243703`}, {0., 0.}, {10, 0}}]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.5376656362328652, -0.8431581486377916}, { 0.8431581486377916, -0.5376656362328652}}}]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{2.6833511091418583`, 4.218960396243031}, { Rational[10, 3], 0}, {4.472251848569764, 7.031600660405053}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 0.8944503697139528, 1.4063201320810106`}, {3.577801478855811, 5.625280528324042}, {Rational[25, 3], 0}, {5.3667022182837165`, 8.437920792486063}, {1.7889007394279055`, 2.812640264162021}, {0., 0.}, {10, 0}}, {{2.6833511091418583`, 4.218960396243031}, { 3.3333333333333335`, 0}, {4.472251848569764, 7.031600660405053}, {5, 0}, {0, 0}, {1.6666666666666667`, 0}, {6.666666666666667, 0}, { 0.8944503697139528, 1.4063201320810106`}, {3.577801478855811, 5.625280528324042}, {8.333333333333334, 0}, {5.3667022182837165`, 8.437920792486063}, {1.7889007394279055`, 2.812640264162021}, {0., 0.}, {10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{2.6833511091418583`, 4.218960396243031}, { Rational[10, 3], 0}, {4.472251848569764, 7.031600660405053}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 0.8944503697139528, 1.4063201320810106`}, {3.577801478855811, 5.625280528324042}, {Rational[25, 3], 0}, {5.3667022182837165`, 8.437920792486063}, {1.7889007394279055`, 2.812640264162021}, {0., 0.}, {10, 0}}, {{2.6833511091418583`, 4.218960396243031}, { 3.3333333333333335`, 0}, {4.472251848569764, 7.031600660405053}, { 5, 0}, {0, 0}, {1.6666666666666667`, 0}, {6.666666666666667, 0}, { 0.8944503697139528, 1.4063201320810106`}, {3.577801478855811, 5.625280528324042}, {8.333333333333334, 0}, {5.3667022182837165`, 8.437920792486063}, {1.7889007394279055`, 2.812640264162021}, {0., 0.}, {10, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.4239701460053728, -0.905676164694745}, { 0.905676164694745, -0.4239701460053728}}, {{-0.6404986305923657, 0.7679593115584342}, {-0.7679593115584342, -0.6404986305923657}}}]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{4.688107783721539, 1.7382880682468942`}, { Rational[10, 3], 0}, {7.8135129728692325`, 2.8971467804114908`}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 1.5627025945738464`, 0.5794293560822982}, {6.250810378295386, 2.3177174243291927`}, {Rational[25, 3], 0}, {9.376215567443078, 3.4765761364937884`}, {3.125405189147693, 1.1588587121645963`}, {0., 0.}, {10, 0}}, {{4.688107783721539, 1.7382880682468942`}, { 3.3333333333333335`, 0}, {7.8135129728692325`, 2.8971467804114908`}, {5, 0}, {0, 0}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {1.5627025945738464`, 0.5794293560822982}, { 6.250810378295386, 2.3177174243291927`}, {8.333333333333334, 0}, { 9.376215567443078, 3.4765761364937884`}, {3.125405189147693, 1.1588587121645963`}, {0., 0.}, {10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{4.688107783721539, 1.7382880682468942`}, { Rational[10, 3], 0}, {7.8135129728692325`, 2.8971467804114908`}, { 5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 1.5627025945738464`, 0.5794293560822982}, {6.250810378295386, 2.3177174243291927`}, {Rational[25, 3], 0}, {9.376215567443078, 3.4765761364937884`}, {3.125405189147693, 1.1588587121645963`}, { 0., 0.}, {10, 0}}, {{4.688107783721539, 1.7382880682468942`}, { 3.3333333333333335`, 0}, {7.8135129728692325`, 2.8971467804114908`}, {5, 0}, {0, 0}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {1.5627025945738464`, 0.5794293560822982}, { 6.250810378295386, 2.3177174243291927`}, {8.333333333333334, 0}, { 9.376215567443078, 3.4765761364937884`}, {3.125405189147693, 1.1588587121645963`}, {0., 0.}, {10, 0}}]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, {{{1., 0}, {0, 1.}}, {{ 0.7582683673432384, -0.6519425458478835}, {0.6519425458478835, 0.7582683673432384}}, {{0.14994183382676085`, -0.9886948196833379}, { 0.9886948196833379, 0.14994183382676085`}}, {{-0.5308760682787004, -0.8474494675961208}, { 0.8474494675961208, -0.5308760682787004}}, {{-0.9550348929373361, \ -0.29649342871667667`}, { 0.29649342871667667`, -0.9550348929373361}}, {{-0.9174694297681365, 0.39780629135413426`}, {-0.39780629135413426`, -0.9174694297681365}}, \ {{-0.43634120025789747`, 0.899781282844613}, {-0.899781282844613, -0.43634120025789747`}}, {{ 0.255741970719846, 0.9667450772630443}, {-0.9667450772630443, 0.255741970719846}}}]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{3.140308051414003, 3.8908180813582622`}, { Rational[10, 3], 0}, {5.233846752356672, 6.4846968022637705`}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 1.0467693504713345`, 1.2969393604527542`}, {4.187077401885338, 5.187757441811017}, {Rational[25, 3], 0}, {6.280616102828006, 7.7816361627165245`}, {2.093538700942669, 2.5938787209055083`}, {0., 0.}, {10, 0}}, {{3.140308051414003, 3.8908180813582622`}, { 3.3333333333333335`, 0}, {5.233846752356672, 6.4846968022637705`}, { 5, 0}, {0, 0}, {1.6666666666666667`, 0}, {6.666666666666667, 0}, { 1.0467693504713345`, 1.2969393604527542`}, {4.187077401885338, 5.187757441811017}, {8.333333333333334, 0}, {6.280616102828006, 7.7816361627165245`}, {2.093538700942669, 2.5938787209055083`}, {0., 0.}, {10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{3.140308051414003, 3.8908180813582622`}, { Rational[10, 3], 0}, {5.233846752356672, 6.4846968022637705`}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[20, 3], 0}, { 1.0467693504713345`, 1.2969393604527542`}, {4.187077401885338, 5.187757441811017}, {Rational[25, 3], 0}, {6.280616102828006, 7.7816361627165245`}, {2.093538700942669, 2.5938787209055083`}, { 0., 0.}, {10, 0}}, {{3.140308051414003, 3.8908180813582622`}, { 3.3333333333333335`, 0}, {5.233846752356672, 6.4846968022637705`}, {5, 0}, {0, 0}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {1.0467693504713345`, 1.2969393604527542`}, {4.187077401885338, 5.187757441811017}, { 8.333333333333334, 0}, {6.280616102828006, 7.7816361627165245`}, { 2.093538700942669, 2.5938787209055083`}, {0., 0.}, {10, 0}}]]}, {{{ 1, 0}, {0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.21107722737795107`, -0.9774693877981226}, { 0.9774693877981226, -0.21107722737795107`}}, {{-0.9108928081648735, 0.41264305644650195`}, {-0.41264305644650195`, \ -0.9108928081648735}}}]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.7795301903124657`*^9, 3.779530696734569*^9, 3.779549726407813*^9, 3.7795520789551563`*^9, 3.7795542080733137`*^9, 3.7795548238565083`*^9, 3.780352327978743*^9, 3.780396925689237*^9, 3.7803974461848183`*^9, 3.7803998591032763`*^9, 3.7804002337765007`*^9, 3.780400373108409*^9, 3.7804011278285303`*^9, 3.7804012904140472`*^9, 3.780401811662142*^9, 3.7804022663938627`*^9, 3.780402394977028*^9, 3.848507708796508*^9, 3.85919397225624*^9}, CellLabel->"Out[3]=", CellID->543545471] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"SeedRandom", "[", "1", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", "r"}], "]"}]}], ")"}], ",", RowBox[{"{", RowBox[{"r", ",", "rotOrders"}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}, 3.7792505340628757`*^9, {3.7792512092233047`*^9, 3.779251247722981*^9}, { 3.779251430624795*^9, 3.779251433986175*^9}, {3.779251469640259*^9, 3.779251472399377*^9}, {3.779263268206717*^9, 3.779263319015059*^9}, { 3.779263509742968*^9, 3.779263543436346*^9}, {3.779263588848214*^9, 3.779263633514599*^9}, 3.779555007271789*^9}, CellLabel->"In[4]:=", CellID->657535536], Cell[BoxData[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{2.898931733279231, 1.645389290380178}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 1.4494658666396154`, 0.822694645190089}, {Rational[20, 3], 0}, { 4.3483975999188464`, 2.468083935570267}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {7.247329333198078, 4.113473225950445}, {8.696795199837693, 4.936167871140534}, { 5.797863466558462, 3.290778580760356}}], BezierCurve[{{2.898931733279231, 1.645389290380178}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {1.4494658666396154`, 0.822694645190089}, { 6.666666666666667, 0}, {4.3483975999188464`, 2.468083935570267}, { 5, 0}, {1.6666666666666667`, 0}, {10, 0}, {7.247329333198078, 4.113473225950445}, {8.696795199837693, 4.936167871140534}, { 5.797863466558462, 3.290778580760356}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{2.898931733279231, 1.645389290380178}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 1.4494658666396154`, 0.822694645190089}, {Rational[20, 3], 0}, { 4.3483975999188464`, 2.468083935570267}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {7.247329333198078, 4.113473225950445}, {8.696795199837693, 4.936167871140534}, { 5.797863466558462, 3.290778580760356}}], BezierCurve[{{2.898931733279231, 1.645389290380178}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {1.4494658666396154`, 0.822694645190089}, { 6.666666666666667, 0}, {4.3483975999188464`, 2.468083935570267}, { 5, 0}, {1.6666666666666667`, 0}, {10, 0}, {7.247329333198078, 4.113473225950445}, {8.696795199837693, 4.936167871140534}, { 5.797863466558462, 3.290778580760356}}]]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, {{{1., 0}, {0, 1.}}, {{ 0.5126849349583985, -0.8585768209465607}, {0.8585768209465607, 0.5126849349583985}}, {{-0.47430831493340525`, -0.8803588032075522}, { 0.8803588032075522, -0.47430831493340525`}}, {{-0.9990263901421196, \ -0.0441165705784745}, { 0.0441165705784745, -0.9990263901421196}}, {{-0.5500632447700673, 0.8351230009723268}, {-0.8351230009723268, -0.5500632447700673}}, {{ 0.4350081124062245, 0.9004265334499942}, {-0.9004265334499942, 0.4350081124062245}}}]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{1.60266161217855, 2.9227704097243703`}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 0.801330806089275, 1.4613852048621851`}, {Rational[20, 3], 0}, { 2.403992418267825, 4.384155614586555}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {4.006654030446375, 7.3069260243109255`}, {4.80798483653565, 8.76831122917311}, { 3.2053232243571, 5.845540819448741}}], BezierCurve[{{1.60266161217855, 2.9227704097243703`}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {0.801330806089275, 1.4613852048621851`}, { 6.666666666666667, 0}, {2.403992418267825, 4.384155614586555}, {5, 0}, {1.6666666666666667`, 0}, {10, 0}, {4.006654030446375, 7.3069260243109255`}, {4.80798483653565, 8.76831122917311}, { 3.2053232243571, 5.845540819448741}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{1.60266161217855, 2.9227704097243703`}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 0.801330806089275, 1.4613852048621851`}, {Rational[20, 3], 0}, { 2.403992418267825, 4.384155614586555}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {4.006654030446375, 7.3069260243109255`}, {4.80798483653565, 8.76831122917311}, { 3.2053232243571, 5.845540819448741}}], BezierCurve[{{1.60266161217855, 2.9227704097243703`}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {0.801330806089275, 1.4613852048621851`}, { 6.666666666666667, 0}, {2.403992418267825, 4.384155614586555}, {5, 0}, {1.6666666666666667`, 0}, {10, 0}, {4.006654030446375, 7.3069260243109255`}, {4.80798483653565, 8.76831122917311}, { 3.2053232243571, 5.845540819448741}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.5376656362328652, -0.8431581486377916}, { 0.8431581486377916, -0.5376656362328652}}}]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{1.7889007394279055`, 2.812640264162021}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 0.8944503697139528, 1.4063201320810106`}, {Rational[20, 3], 0}, { 2.6833511091418583`, 4.218960396243031}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {4.472251848569764, 7.031600660405053}, {5.3667022182837165`, 8.437920792486063}, { 3.577801478855811, 5.625280528324042}}], BezierCurve[{{1.7889007394279055`, 2.812640264162021}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {0.8944503697139528, 1.4063201320810106`}, { 6.666666666666667, 0}, {2.6833511091418583`, 4.218960396243031}, { 5, 0}, {1.6666666666666667`, 0}, {10, 0}, {4.472251848569764, 7.031600660405053}, {5.3667022182837165`, 8.437920792486063}, { 3.577801478855811, 5.625280528324042}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{1.7889007394279055`, 2.812640264162021}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 0.8944503697139528, 1.4063201320810106`}, {Rational[20, 3], 0}, { 2.6833511091418583`, 4.218960396243031}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {4.472251848569764, 7.031600660405053}, {5.3667022182837165`, 8.437920792486063}, { 3.577801478855811, 5.625280528324042}}], BezierCurve[{{1.7889007394279055`, 2.812640264162021}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {0.8944503697139528, 1.4063201320810106`}, {6.666666666666667, 0}, { 2.6833511091418583`, 4.218960396243031}, {5, 0}, { 1.6666666666666667`, 0}, {10, 0}, {4.472251848569764, 7.031600660405053}, {5.3667022182837165`, 8.437920792486063}, { 3.577801478855811, 5.625280528324042}}]]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.4239701460053728, -0.905676164694745}, { 0.905676164694745, -0.4239701460053728}}, {{-0.6404986305923657, 0.7679593115584342}, {-0.7679593115584342, -0.6404986305923657}}}]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{3.125405189147693, 1.1588587121645963`}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 1.5627025945738464`, 0.5794293560822982}, {Rational[20, 3], 0}, { 4.688107783721539, 1.7382880682468942`}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {7.8135129728692325`, 2.8971467804114908`}, {9.376215567443078, 3.4765761364937884`}, { 6.250810378295386, 2.3177174243291927`}}], BezierCurve[{{3.125405189147693, 1.1588587121645963`}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {1.5627025945738464`, 0.5794293560822982}, { 6.666666666666667, 0}, {4.688107783721539, 1.7382880682468942`}, { 5, 0}, {1.6666666666666667`, 0}, {10, 0}, {7.8135129728692325`, 2.8971467804114908`}, {9.376215567443078, 3.4765761364937884`}, { 6.250810378295386, 2.3177174243291927`}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{3.125405189147693, 1.1588587121645963`}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 1.5627025945738464`, 0.5794293560822982}, {Rational[20, 3], 0}, { 4.688107783721539, 1.7382880682468942`}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {7.8135129728692325`, 2.8971467804114908`}, {9.376215567443078, 3.4765761364937884`}, { 6.250810378295386, 2.3177174243291927`}}], BezierCurve[{{3.125405189147693, 1.1588587121645963`}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {1.5627025945738464`, 0.5794293560822982}, {6.666666666666667, 0}, {4.688107783721539, 1.7382880682468942`}, {5, 0}, {1.6666666666666667`, 0}, {10, 0}, { 7.8135129728692325`, 2.8971467804114908`}, {9.376215567443078, 3.4765761364937884`}, {6.250810378295386, 2.3177174243291927`}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{0.7582683673432384, -0.6519425458478835}, { 0.6519425458478835, 0.7582683673432384}}, {{ 0.14994183382676085`, -0.9886948196833379}, {0.9886948196833379, 0.14994183382676085`}}, {{-0.5308760682787004, -0.8474494675961208}, { 0.8474494675961208, -0.5308760682787004}}, {{-0.9550348929373361, \ -0.29649342871667667`}, { 0.29649342871667667`, -0.9550348929373361}}, {{-0.9174694297681365, 0.39780629135413426`}, {-0.39780629135413426`, -0.9174694297681365}}, \ {{-0.43634120025789747`, 0.899781282844613}, {-0.899781282844613, -0.43634120025789747`}}, {{ 0.255741970719846, 0.9667450772630443}, {-0.9667450772630443, 0.255741970719846}}}]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{2.093538700942669, 2.5938787209055083`}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 1.0467693504713345`, 1.2969393604527542`}, {Rational[20, 3], 0}, { 3.140308051414003, 3.8908180813582622`}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {5.233846752356672, 6.4846968022637705`}, {6.280616102828006, 7.7816361627165245`}, { 4.187077401885338, 5.187757441811017}}], BezierCurve[{{2.093538700942669, 2.5938787209055083`}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {1.0467693504713345`, 1.2969393604527542`}, {6.666666666666667, 0}, {3.140308051414003, 3.8908180813582622`}, {5, 0}, {1.6666666666666667`, 0}, {10, 0}, { 5.233846752356672, 6.4846968022637705`}, {6.280616102828006, 7.7816361627165245`}, {4.187077401885338, 5.187757441811017}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{2.093538700942669, 2.5938787209055083`}, { Rational[10, 3], 0}, {0., 0.}, {0, 0}, {Rational[25, 3], 0}, { 1.0467693504713345`, 1.2969393604527542`}, {Rational[20, 3], 0}, { 3.140308051414003, 3.8908180813582622`}, {5, 0}, { Rational[5, 3], 0}, {10, 0}, {5.233846752356672, 6.4846968022637705`}, {6.280616102828006, 7.7816361627165245`}, { 4.187077401885338, 5.187757441811017}}], BezierCurve[{{2.093538700942669, 2.5938787209055083`}, { 3.3333333333333335`, 0}, {0., 0.}, {0, 0}, { 8.333333333333334, 0}, {1.0467693504713345`, 1.2969393604527542`}, {6.666666666666667, 0}, {3.140308051414003, 3.8908180813582622`}, {5, 0}, {1.6666666666666667`, 0}, {10, 0}, { 5.233846752356672, 6.4846968022637705`}, {6.280616102828006, 7.7816361627165245`}, {4.187077401885338, 5.187757441811017}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.21107722737795107`, -0.9774693877981226}, { 0.9774693877981226, -0.21107722737795107`}}, {{-0.9108928081648735, 0.41264305644650195`}, {-0.41264305644650195`, \ -0.9108928081648735}}}]]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530190373383*^9, 3.779530696767116*^9, 3.779549726443591*^9, 3.779552079022698*^9, 3.779554208129664*^9, 3.779554823881009*^9, 3.779555007561668*^9, 3.780352328027872*^9, 3.780396925721497*^9, 3.780397446240423*^9, 3.780399859137252*^9, 3.780400233812253*^9, 3.780400373141898*^9, 3.780401127901827*^9, 3.780401290454916*^9, 3.780401811710127*^9, 3.780402266436721*^9, 3.7804023950262938`*^9, 3.848507708856729*^9, 3.859193972268578*^9}, CellLabel->"Out[4]=", CellID->946011908] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Neat Examples", "Subsection", TaggingRules->{}, CellID->461278909], Cell[CellGroupData[{ Cell["Random mandalas", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.865523655854566*^9, 3.865523658670924*^9}}, CellID->570659224], Cell["A table of random mandalas:", "Text", TaggingRules->{}, CellChangeTimes->{{3.86552352359262*^9, 3.865523524188282*^9}}, CellID->623947221], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"SeedRandom", "[", "342", "]"}], ";", RowBox[{"Multicolumn", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"3", ",", "6", ",", "12"}], "}"}], "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}], "]"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "Tiny"}]}], "]"}], ",", "36"}], "]"}], ",", "6"}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792159089343443`*^9, 3.779216031128572*^9}, { 3.7792165900409107`*^9, 3.779216611908345*^9}, {3.779263681797743*^9, 3.779263694130961*^9}}, CellLabel->"In[1]:=", CellID->197854672], Cell[BoxData[ TagBox[GridBox[{ { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{5 3^Rational[1, 2], 5}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, {0, 0}, {Rational[25, 3], 0}, {Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}}, {{ 8.660254037844386, 5}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}, {5, 0}, {2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {6.666666666666667, 0}, {0, 0}, { 8.333333333333334, 0}, {1.6666666666666667`, 0}, { 4.330127018922193, 2.5}, {10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{5 3^Rational[1, 2], 5}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, {0, 0}, {Rational[25, 3], 0}, {Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}}, {{ 8.660254037844386, 5}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}, {5, 0}, {2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {6.666666666666667, 0}, {0, 0}, { 8.333333333333334, 0}, {1.6666666666666667`, 0}, { 4.330127018922193, 2.5}, {10, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{Rational[20, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { 5 3^Rational[1, 2], 5}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {10, 0}, {0, 0}, {Rational[5, 3], 0}, { Rational[10, 3], 0}}, {{6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, { 4.330127018922193, 2.5}, {0, 0}, {8.660254037844386, 5}, { 5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, { 10, 0}, {0, 0}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{Rational[20, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { 5 3^Rational[1, 2], 5}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, { 10, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[10, 3], 0}}, {{ 6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, { 4.330127018922193, 2.5}, {0, 0}, {8.660254037844386, 5}, { 5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {10, 0}, {0, 0}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, {10, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {5, 0}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {0, 0}, {Rational[20, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}}], BezierCurve[{{8.660254037844386, 5}, {8.333333333333334, 0}, {10, 0}, {2.886751345948129, 1.6666666666666667`}, {5, 0}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 4.330127018922193, 2.5}, {3.3333333333333335`, 0}, {0, 0}, { 6.666666666666667, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{ Rational[10, 3], 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {10, 0}, {(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( 5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[20, 3], 0}, {5, 0}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[25, 3], 0}, {Rational[5, 3], 0}, {0, 0}, {0, 0}}, {{ 3.3333333333333335`, 0}, {3.2197527542968944`, 0.8627301503417358}, {1.6098763771484472`, 0.4313650751708679}, { 10, 0}, {4.829629131445341, 1.2940952255126035`}, { 8.049381885742235, 2.1568253758543396`}, {9.659258262890681, 2.588190451025207}, {6.666666666666667, 0}, {5, 0}, { 6.439505508593789, 1.7254603006834717`}, {8.333333333333334, 0}, { 1.6666666666666667`, 0}, {0, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{ Rational[10, 3], 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {10, 0}, {(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( 5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[20, 3], 0}, {5, 0}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[25, 3], 0}, {Rational[5, 3], 0}, {0, 0}, {0, 0}}, {{ 3.3333333333333335`, 0}, {3.2197527542968944`, 0.8627301503417358}, {1.6098763771484472`, 0.4313650751708679}, { 10, 0}, {4.829629131445341, 1.2940952255126035`}, { 8.049381885742235, 2.1568253758543396`}, {9.659258262890681, 2.588190451025207}, {6.666666666666667, 0}, {5, 0}, { 6.439505508593789, 1.7254603006834717`}, { 8.333333333333334, 0}, {1.6666666666666667`, 0}, {0, 0}, {0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5, 0}, {Rational[20, 3], 0}, {0, 0}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {0, 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {Rational[25, 3], 0}, { 5, 5 3^Rational[1, 2]}, {10, 0}}, {{5, 0}, { 6.666666666666667, 0}, {0, 0}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {2.5, 4.330127018922193}, { 4.166666666666667, 7.216878364870323}, {0.8333333333333334, 1.4433756729740645`}, {3.3333333333333335`, 5.773502691896258}, {0, 0}, {1.6666666666666667`, 2.886751345948129}, { 8.333333333333334, 0}, {5, 8.660254037844386}, {10, 0}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {5, 5 3^Rational[1, 2]}, {5, 0}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {10, 0}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {Rational[20, 3], 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, {0, 0}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[25, 3], 0}}], BezierCurve[{{0, 0}, {5, 8.660254037844386}, {5, 0}, { 3.3333333333333335`, 5.773502691896258}, {10, 0}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, { 1.6666666666666667`, 2.886751345948129}, {6.666666666666667, 0}, { 0.8333333333333334, 1.4433756729740645`}, {2.5, 4.330127018922193}, {0, 0}, {4.166666666666667, 7.216878364870323}, {8.333333333333334, 0}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny]}, { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{10, 0}, {Rational[25, 3], 0}, { Rational[20, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, {0, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[10, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 8.333333333333334, 0}, {6.666666666666667, 0}, {0, 0}, { 8.660254037844386, 5}, {4.330127018922193, 2.5}, { 1.4433756729740645`, 0.8333333333333334}, {5, 0}, {0, 0}, { 5.773502691896258, 3.3333333333333335`}, { 3.3333333333333335`, 0}, {2.886751345948129, 1.6666666666666667`}, {1.6666666666666667`, 0}, { 7.216878364870323, 4.166666666666667}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{10, 0}, {Rational[25, 3], 0}, { Rational[20, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, {0, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[10, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}}, {{10, 0}, { 8.333333333333334, 0}, {6.666666666666667, 0}, {0, 0}, { 8.660254037844386, 5}, {4.330127018922193, 2.5}, { 1.4433756729740645`, 0.8333333333333334}, {5, 0}, {0, 0}, { 5.773502691896258, 3.3333333333333335`}, { 3.3333333333333335`, 0}, {2.886751345948129, 1.6666666666666667`}, {1.6666666666666667`, 0}, { 7.216878364870323, 4.166666666666667}}]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{10, 0}, {0, 0}, {Rational[25, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}}], BezierCurve[{{10, 0}, {0, 0}, {8.333333333333334, 0}, { 1.4433756729740645`, 0.8333333333333334}, {2.886751345948129, 1.6666666666666667`}, {5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}, {5, 0}, {0, 0}, {1.6666666666666667`, 0}, { 4.330127018922193, 2.5}, {3.3333333333333335`, 0}, { 7.216878364870323, 4.166666666666667}, { 8.660254037844386, 5}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[20, 3], 0}, {Rational[5, 3], 0}, { 0, 0}, {(Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[10, 3], 0}, {5, 0}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {10, 0}, { Rational[25, 3], 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}}, {{ 4.829629131445341, 1.2940952255126035`}, {8.049381885742235, 2.1568253758543396`}, {6.666666666666667, 0}, { 1.6666666666666667`, 0}, {0, 0}, {1.6098763771484472`, 0.4313650751708679}, {3.3333333333333335`, 0}, {5, 0}, { 6.439505508593789, 1.7254603006834717`}, {0, 0}, {10, 0}, { 8.333333333333334, 0}, {3.2197527542968944`, 0.8627301503417358}, {9.659258262890681, 2.588190451025207}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[20, 3], 0}, { Rational[5, 3], 0}, {0, 0}, {(Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[10, 3], 0}, {5, 0}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {10, 0}, { Rational[25, 3], 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}}, {{4.829629131445341, 1.2940952255126035`}, {8.049381885742235, 2.1568253758543396`}, { 6.666666666666667, 0}, {1.6666666666666667`, 0}, {0, 0}, { 1.6098763771484472`, 0.4313650751708679}, { 3.3333333333333335`, 0}, {5, 0}, {6.439505508593789, 1.7254603006834717`}, {0, 0}, {10, 0}, {8.333333333333334, 0}, { 3.2197527542968944`, 0.8627301503417358}, {9.659258262890681, 2.588190451025207}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[20, 3], 0}, {Rational[25, 3], 0}, { 5, 5 3^Rational[1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {Rational[5, 3], 0}, {10, 0}, {5, 0}, {0, 0}, {0, 0}, {Rational[10, 3], 0}}, {{ 6.666666666666667, 0}, {8.333333333333334, 0}, { 5, 8.660254037844386}, {2.5, 4.330127018922193}, { 3.3333333333333335`, 5.773502691896258}, {0.8333333333333334, 1.4433756729740645`}, {4.166666666666667, 7.216878364870323}, { 1.6666666666666667`, 2.886751345948129}, { 1.6666666666666667`, 0}, {10, 0}, {5, 0}, {0, 0}, {0, 0}, { 3.3333333333333335`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[20, 3], 0}, {Rational[25, 3], 0}, { 5, 5 3^Rational[1, 2]}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {Rational[5, 3], 0}, {10, 0}, {5, 0}, {0, 0}, {0, 0}, {Rational[10, 3], 0}}, {{ 6.666666666666667, 0}, {8.333333333333334, 0}, { 5, 8.660254037844386}, {2.5, 4.330127018922193}, { 3.3333333333333335`, 5.773502691896258}, {0.8333333333333334, 1.4433756729740645`}, {4.166666666666667, 7.216878364870323}, { 1.6666666666666667`, 2.886751345948129}, { 1.6666666666666667`, 0}, {10, 0}, {5, 0}, {0, 0}, {0, 0}, { 3.3333333333333335`, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[1, 2], 5}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, {Rational[10, 3], 0}, {10, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {Rational[25, 3], 0}, {5, 0}}, {{0, 0}, { 7.216878364870323, 4.166666666666667}, {1.6666666666666667`, 0}, { 4.330127018922193, 2.5}, {8.660254037844386, 5}, { 2.886751345948129, 1.6666666666666667`}, {0, 0}, { 3.3333333333333335`, 0}, {10, 0}, {5.773502691896258, 3.3333333333333335`}, {1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {8.333333333333334, 0}, {5, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[1, 2], 5}, {5 3^Rational[-1, 2], Rational[5, 3]}, { 0, 0}, {Rational[10, 3], 0}, {10, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {Rational[25, 3], 0}, {5, 0}}, {{0, 0}, { 7.216878364870323, 4.166666666666667}, { 1.6666666666666667`, 0}, {4.330127018922193, 2.5}, { 8.660254037844386, 5}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {3.3333333333333335`, 0}, {10, 0}, {5.773502691896258, 3.3333333333333335`}, { 1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {8.333333333333334, 0}, {5, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{5, 0}, { Rational[-25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[25, 3], 0}, {0, 0}, {Rational[5, 3], 0}, {10, 0}, { Rational[-5, 6], Rational[5, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[-5, 3], 5 3^Rational[-1, 2]}, {Rational[10, 3], 0}, { Rational[-5, 2], Rational[5, 2] 3^Rational[1, 2]}, {-5, 5 3^Rational[1, 2]}, {Rational[-10, 3], 10 3^Rational[-1, 2]}, { Rational[20, 3], 0}}, {{5, 0}, {-4.166666666666667, 7.216878364870323}, {8.333333333333334, 0}, {0, 0}, { 1.6666666666666667`, 0}, {10, 0}, {-0.8333333333333334, 1.4433756729740645`}, {0, 0}, {-1.6666666666666667`, 2.886751345948129}, {3.3333333333333335`, 0}, {-2.5, 4.330127018922193}, {-5, 8.660254037844386}, {-3.3333333333333335`, 5.773502691896258}, {6.666666666666667, 0}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny]}, { GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[10, 3], 0}, {-5, 5 3^Rational[1, 2]}, { Rational[-5, 6], Rational[5, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[-5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[20, 3], 0}, {10, 0}, {Rational[25, 3], 0}, { Rational[-25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[-5, 3], 5 3^Rational[-1, 2]}, {5, 0}, { Rational[5, 3], 0}, {Rational[-10, 3], 10 3^Rational[-1, 2]}, {0, 0}}, {{3.3333333333333335`, 0}, {-5, 8.660254037844386}, {-0.8333333333333334, 1.4433756729740645`}, { 0, 0}, {-2.5, 4.330127018922193}, {6.666666666666667, 0}, {10, 0}, {8.333333333333334, 0}, {-4.166666666666667, 7.216878364870323}, {-1.6666666666666667`, 2.886751345948129}, {5, 0}, {1.6666666666666667`, 0}, {-3.3333333333333335`, 5.773502691896258}, {0, 0}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}, {Rational[10, 3], 0}, {5, 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { 5 3^Rational[1, 2], 5}}, {{5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {1.4433756729740645`, 0.8333333333333334}, {10, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}, {5, 0}, {0, 0}, {4.330127018922193, 2.5}, {0, 0}, {8.660254037844386, 5}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}, {Rational[10, 3], 0}, {5, 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { 5 3^Rational[1, 2], 5}}, {{5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {1.4433756729740645`, 0.8333333333333334}, {10, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}, {5, 0}, {0, 0}, {4.330127018922193, 2.5}, {0, 0}, { 8.660254037844386, 5}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {Rational[25, 3], 0}, {10, 0}, {5 3^Rational[1, 2], 5}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, {0, 0}, {Rational[5, 3], 0}}, {{2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, { 6.666666666666667, 0}, {7.216878364870323, 4.166666666666667}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, { 8.333333333333334, 0}, {10, 0}, {8.660254037844386, 5}, { 5.773502691896258, 3.3333333333333335`}, { 3.3333333333333335`, 0}, {0, 0}, {1.6666666666666667`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {5, 0}, {Rational[25, 3], 0}, {10, 0}, {5 3^Rational[1, 2], 5}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, {0, 0}, {Rational[5, 3], 0}}, {{2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, { 6.666666666666667, 0}, {7.216878364870323, 4.166666666666667}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5, 0}, { 8.333333333333334, 0}, {10, 0}, {8.660254037844386, 5}, { 5.773502691896258, 3.3333333333333335`}, { 3.3333333333333335`, 0}, {0, 0}, { 1.6666666666666667`, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{(Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[5, 3], 0}, {Rational[25, 3], 0}, { 10, 0}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[10, 3], 0}, {(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, { Rational[20, 3], 0}, {0, 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {5, 0}}, {{8.049381885742235, 2.1568253758543396`}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, {10, 0}, { 6.439505508593789, 1.7254603006834717`}, { 3.3333333333333335`, 0}, {4.829629131445341, 1.2940952255126035`}, {9.659258262890681, 2.588190451025207}, {0, 0}, {6.666666666666667, 0}, {0, 0}, {3.2197527542968944`, 0.8627301503417358}, {1.6098763771484472`, 0.4313650751708679}, { 5, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{(Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[5, 3], 0}, { Rational[25, 3], 0}, {10, 0}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[10, 3], 0}, {(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {Rational[20, 3], 0}, {0, 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {5, 0}}, {{8.049381885742235, 2.1568253758543396`}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, {10, 0}, { 6.439505508593789, 1.7254603006834717`}, { 3.3333333333333335`, 0}, {4.829629131445341, 1.2940952255126035`}, {9.659258262890681, 2.588190451025207}, {0, 0}, {6.666666666666667, 0}, {0, 0}, {3.2197527542968944`, 0.8627301503417358}, {1.6098763771484472`, 0.4313650751708679}, { 5, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{0, 0}, {Rational[5, 3], 0}, {10, 0}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {5, 0}, { Rational[20, 3], 0}, {0, 0}, {Rational[25, 3], 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {5, 5 3^Rational[1, 2]}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 0}}, {{0, 0}, {1.6666666666666667`, 0}, {10, 0}, {4.166666666666667, 7.216878364870323}, {1.6666666666666667`, 2.886751345948129}, {5, 0}, {6.666666666666667, 0}, {0, 0}, { 8.333333333333334, 0}, {2.5, 4.330127018922193}, { 3.3333333333333335`, 5.773502691896258}, {5, 8.660254037844386}, { 0.8333333333333334, 1.4433756729740645`}, { 3.3333333333333335`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{0, 0}, {Rational[5, 3], 0}, {10, 0}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {5, 0}, { Rational[20, 3], 0}, {0, 0}, {Rational[25, 3], 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, { 5, 5 3^Rational[1, 2]}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 0}}, {{0, 0}, {1.6666666666666667`, 0}, {10, 0}, {4.166666666666667, 7.216878364870323}, {1.6666666666666667`, 2.886751345948129}, {5, 0}, {6.666666666666667, 0}, {0, 0}, { 8.333333333333334, 0}, {2.5, 4.330127018922193}, { 3.3333333333333335`, 5.773502691896258}, { 5, 8.660254037844386}, {0.8333333333333334, 1.4433756729740645`}, {3.3333333333333335`, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 3], 0}, {Rational[10, 3], 10 3^Rational[-1, 2]}, { Rational[10, 3], 0}, {Rational[5, 3], 5 3^Rational[-1, 2]}, {0, 0}, {5, 5 3^Rational[1, 2]}, {10, 0}, {Rational[20, 3], 0}, {5, 0}, {0, 0}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}}], BezierCurve[{{2.5, 4.330127018922193}, {8.333333333333334, 0}, { 3.3333333333333335`, 5.773502691896258}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 2.886751345948129}, {0, 0}, {5, 8.660254037844386}, {10, 0}, { 6.666666666666667, 0}, {5, 0}, {0, 0}, {4.166666666666667, 7.216878364870323}, {1.6666666666666667`, 0}, {0.8333333333333334, 1.4433756729740645`}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny]}, { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{10, 0}, { Rational[10, 3], 0}, {(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[20, 3], 0}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[25, 3], 0}, {(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {5, 0}, {0, 0}, {Rational[5, 3], 0}}, {{10, 0}, { 3.3333333333333335`, 0}, {4.829629131445341, 1.2940952255126035`}, {1.6098763771484472`, 0.4313650751708679}, { 6.666666666666667, 0}, {6.439505508593789, 1.7254603006834717`}, { 8.333333333333334, 0}, {9.659258262890681, 2.588190451025207}, {0, 0}, {3.2197527542968944`, 0.8627301503417358}, { 8.049381885742235, 2.1568253758543396`}, {5, 0}, {0, 0}, { 1.6666666666666667`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{10, 0}, { Rational[10, 3], 0}, {(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[20, 3], 0}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[25, 3], 0}, {(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, { 5, 0}, {0, 0}, {Rational[5, 3], 0}}, {{10, 0}, { 3.3333333333333335`, 0}, {4.829629131445341, 1.2940952255126035`}, {1.6098763771484472`, 0.4313650751708679}, {6.666666666666667, 0}, {6.439505508593789, 1.7254603006834717`}, {8.333333333333334, 0}, {9.659258262890681, 2.588190451025207}, {0, 0}, {3.2197527542968944`, 0.8627301503417358}, {8.049381885742235, 2.1568253758543396`}, { 5, 0}, {0, 0}, {1.6666666666666667`, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {10, 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {Rational[10, 3], 0}, {0, 0}, {Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {Rational[25, 3], 0}, { 5, 5 3^Rational[1, 2]}}], BezierCurve[{{5, 0}, {10, 0}, {0.8333333333333334, 1.4433756729740645`}, {0, 0}, {1.6666666666666667`, 2.886751345948129}, {4.166666666666667, 7.216878364870323}, { 3.3333333333333335`, 5.773502691896258}, { 3.3333333333333335`, 0}, {0, 0}, {2.5, 4.330127018922193}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 8.333333333333334, 0}, {5, 8.660254037844386}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {10, 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {Rational[10, 3], 0}, { 0, 0}, {Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { Rational[25, 3], 0}, {5, 5 3^Rational[1, 2]}}], BezierCurve[{{5, 0}, {10, 0}, {0.8333333333333334, 1.4433756729740645`}, {0, 0}, {1.6666666666666667`, 2.886751345948129}, {4.166666666666667, 7.216878364870323}, { 3.3333333333333335`, 5.773502691896258}, { 3.3333333333333335`, 0}, {0, 0}, {2.5, 4.330127018922193}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 8.333333333333334, 0}, {5, 8.660254037844386}}]]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {Rational[5, 3], 0}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {Rational[20, 3], 0}, { 5, 5 3^Rational[1, 2]}, {5, 0}, {10, 0}, {Rational[10, 3], 0}, {0, 0}, {0, 0}, {Rational[25, 3], 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}}, {{ 0.8333333333333334, 1.4433756729740645`}, {1.6666666666666667`, 2.886751345948129}, {1.6666666666666667`, 0}, {3.3333333333333335`, 5.773502691896258}, {6.666666666666667, 0}, { 5, 8.660254037844386}, {5, 0}, {10, 0}, {3.3333333333333335`, 0}, { 0, 0}, {0, 0}, {8.333333333333334, 0}, {2.5, 4.330127018922193}, { 4.166666666666667, 7.216878364870323}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { 0, 0}, {Rational[10, 3], 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {5, 5 3^Rational[1, 2]}, { Rational[25, 3], 0}, {10, 0}, {0, 0}, {Rational[20, 3], 0}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {Rational[5, 3], 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, {5, 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}}], BezierCurve[{{4.166666666666667, 7.216878364870323}, {0, 0}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 2.886751345948129}, {5, 8.660254037844386}, { 8.333333333333334, 0}, {10, 0}, {0, 0}, {6.666666666666667, 0}, { 3.3333333333333335`, 5.773502691896258}, { 1.6666666666666667`, 0}, {2.5, 4.330127018922193}, {5, 0}, { 0.8333333333333334, 1.4433756729740645`}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 0}, { Rational[-5, 3], 5 3^Rational[-1, 2]}, { Rational[-5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[-10, 3], 10 3^Rational[-1, 2]}, {-5, 5 3^Rational[1, 2]}, {Rational[20, 3], 0}, { Rational[-5, 2], Rational[5, 2] 3^Rational[1, 2]}, {0, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[25, 3], 0}, {5, 0}, {10, 0}, { Rational[-25, 6], Rational[25, 2] 3^Rational[-1, 2]}}], BezierCurve[{{3.3333333333333335`, 0}, {-1.6666666666666667`, 2.886751345948129}, {-0.8333333333333334, 1.4433756729740645`}, {-3.3333333333333335`, 5.773502691896258}, {-5, 8.660254037844386}, { 6.666666666666667, 0}, {-2.5, 4.330127018922193}, {0, 0}, {0, 0}, {1.6666666666666667`, 0}, {8.333333333333334, 0}, {5, 0}, {10, 0}, {-4.166666666666667, 7.216878364870323}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, {10, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[10, 3], 0}, { 5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}, {Rational[25, 3], 0}, {Rational[20, 3], 0}}, {{ 0, 0}, {1.4433756729740645`, 0.8333333333333334}, {5, 0}, { 4.330127018922193, 2.5}, {0, 0}, {10, 0}, {5.773502691896258, 3.3333333333333335`}, {2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {1.6666666666666667`, 0}, { 8.333333333333334, 0}, {6.666666666666667, 0}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny]}, { GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[25, 3], 0}, {5, 5 3^Rational[1, 2]}, {10, 0}, {Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {Rational[5, 3], 0}, {0, 0}, {Rational[10, 3], 0}, {5, 0}, {0, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[20, 3], 0}, {Rational[10, 3], 10 3^Rational[-1, 2]}}], BezierCurve[{{8.333333333333334, 0}, {5, 8.660254037844386}, {10, 0}, {0.8333333333333334, 1.4433756729740645`}, {4.166666666666667, 7.216878364870323}, {1.6666666666666667`, 2.886751345948129}, { 1.6666666666666667`, 0}, {0, 0}, {3.3333333333333335`, 0}, {5, 0}, {0, 0}, {2.5, 4.330127018922193}, {6.666666666666667, 0}, { 3.3333333333333335`, 5.773502691896258}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { 5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, {0, 0}, {10, 0}, { Rational[5, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}}, {{7.216878364870323, 4.166666666666667}, { 5.773502691896258, 3.3333333333333335`}, {6.666666666666667, 0}, { 0, 0}, {2.886751345948129, 1.6666666666666667`}, { 8.660254037844386, 5}, {8.333333333333334, 0}, {0, 0}, {10, 0}, { 1.6666666666666667`, 0}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, { 3.3333333333333335`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { 5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, {0, 0}, {10, 0}, { Rational[5, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}}, {{7.216878364870323, 4.166666666666667}, { 5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {8.660254037844386, 5}, { 8.333333333333334, 0}, {0, 0}, {10, 0}, { 1.6666666666666667`, 0}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, { 3.3333333333333335`, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 0}, {0, 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[20, 3], 0}, {Rational[5, 3], 0}, { 5, 5 3^Rational[1, 2]}, {5, 0}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[25, 3], 0}, {0, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {10, 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}}], BezierCurve[{{3.3333333333333335`, 0}, {0, 0}, {0.8333333333333334, 1.4433756729740645`}, {6.666666666666667, 0}, { 1.6666666666666667`, 0}, {5, 8.660254037844386}, {5, 0}, { 4.166666666666667, 7.216878364870323}, {8.333333333333334, 0}, {0, 0}, {2.5, 4.330127018922193}, {3.3333333333333335`, 5.773502691896258}, {10, 0}, {1.6666666666666667`, 2.886751345948129}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5, 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}, { Rational[20, 3], 0}}, {{10, 0}, {4.330127018922193, 2.5}, {5, 0}, { 0, 0}, {1.4433756729740645`, 0.8333333333333334}, { 7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{5, 0}, {Rational[5, 3], 0}, {10, 0}, {0, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { 5, 5 3^Rational[1, 2]}, {Rational[10, 3], 10 3^Rational[-1, 2]}, { 0, 0}, {Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 0}, {Rational[25, 3], 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {Rational[20, 3], 0}}, {{5, 0}, {1.6666666666666667`, 0}, {10, 0}, {0, 0}, {2.5, 4.330127018922193}, {5, 8.660254037844386}, {3.3333333333333335`, 5.773502691896258}, {0, 0}, {4.166666666666667, 7.216878364870323}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {0.8333333333333334, 1.4433756729740645`}, {1.6666666666666667`, 2.886751345948129}, { 6.666666666666667, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{5, 0}, {Rational[5, 3], 0}, {10, 0}, {0, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, { 5, 5 3^Rational[1, 2]}, { Rational[10, 3], 10 3^Rational[-1, 2]}, {0, 0}, { Rational[25, 6], Rational[25, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 0}, {Rational[25, 3], 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {Rational[20, 3], 0}}, {{5, 0}, {1.6666666666666667`, 0}, {10, 0}, {0, 0}, {2.5, 4.330127018922193}, {5, 8.660254037844386}, {3.3333333333333335`, 5.773502691896258}, {0, 0}, {4.166666666666667, 7.216878364870323}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {0.8333333333333334, 1.4433756729740645`}, {1.6666666666666667`, 2.886751345948129}, { 6.666666666666667, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[25, 3], 0}, {0, 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[10, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}}], BezierCurve[{{8.333333333333334, 0}, {0, 0}, {0, 0}, { 1.4433756729740645`, 0.8333333333333334}, { 1.6666666666666667`, 0}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {6.666666666666667, 0}, { 2.886751345948129, 1.6666666666666667`}, { 3.3333333333333335`, 0}, {5, 0}, {4.330127018922193, 2.5}, {10, 0}, {5.773502691896258, 3.3333333333333335`}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny]}, { GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[20, 3], 0}, { Rational[-5, 6], Rational[5, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[-5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[-10, 3], 10 3^Rational[-1, 2]}, { Rational[10, 3], 0}, {-5, 5 3^Rational[1, 2]}, { Rational[5, 3], 0}, {Rational[-5, 3], 5 3^Rational[-1, 2]}, {5, 0}, {0, 0}, {10, 0}, {Rational[25, 3], 0}, { Rational[-25, 6], Rational[25, 2] 3^Rational[-1, 2]}}, {{ 6.666666666666667, 0}, {-0.8333333333333334, 1.4433756729740645`}, {0, 0}, {-2.5, 4.330127018922193}, {-3.3333333333333335`, 5.773502691896258}, { 3.3333333333333335`, 0}, {-5, 8.660254037844386}, { 1.6666666666666667`, 0}, {-1.6666666666666667`, 2.886751345948129}, {5, 0}, {0, 0}, {10, 0}, { 8.333333333333334, 0}, {-4.166666666666667, 7.216878364870323}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, { Rational[20, 3], 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {( Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[5, 3], 0}, {Rational[25, 3], 0}, {Rational[10, 3], 0}, { 0, 0}, {5, 0}, {10, 0}}, {{9.659258262890681, 2.588190451025207}, {0, 0}, {6.666666666666667, 0}, { 3.2197527542968944`, 0.8627301503417358}, {4.829629131445341, 1.2940952255126035`}, {8.049381885742235, 2.1568253758543396`}, { 1.6098763771484472`, 0.4313650751708679}, {6.439505508593789, 1.7254603006834717`}, {1.6666666666666667`, 0}, { 8.333333333333334, 0}, {3.3333333333333335`, 0}, {0, 0}, {5, 0}, { 10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, { Rational[20, 3], 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, {Rational[5, 3], 0}, { Rational[25, 3], 0}, {Rational[10, 3], 0}, {0, 0}, {5, 0}, {10, 0}}, {{9.659258262890681, 2.588190451025207}, {0, 0}, { 6.666666666666667, 0}, {3.2197527542968944`, 0.8627301503417358}, {4.829629131445341, 1.2940952255126035`}, { 8.049381885742235, 2.1568253758543396`}, {1.6098763771484472`, 0.4313650751708679}, {6.439505508593789, 1.7254603006834717`}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, { 3.3333333333333335`, 0}, {0, 0}, {5, 0}, {10, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{0, 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 3], 0}, {Rational[5, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[1, 2], 5}, {0, 0}}, {{0, 0}, {1.4433756729740645`, 0.8333333333333334}, {8.333333333333334, 0}, { 1.6666666666666667`, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, {5, 0}, {3.3333333333333335`, 0}, {6.666666666666667, 0}, { 5.773502691896258, 3.3333333333333335`}, {10, 0}, { 4.330127018922193, 2.5}, {8.660254037844386, 5}, {0, 0}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 0}, {0, 0}, {-5, 5 3^Rational[1, 2]}, { Rational[-5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[5, 3], 0}, { Rational[-25, 6], Rational[25, 2] 3^Rational[-1, 2]}, {10, 0}, { Rational[20, 3], 0}, { Rational[-5, 2], Rational[5, 2] 3^Rational[1, 2]}, { Rational[25, 3], 0}, {0, 0}, { Rational[-5, 3], 5 3^Rational[-1, 2]}, { Rational[-10, 3], 10 3^Rational[-1, 2]}, {5, 0}}], BezierCurve[{{3.3333333333333335`, 0}, {0, 0}, {-5, 8.660254037844386}, {-0.8333333333333334, 1.4433756729740645`}, { 1.6666666666666667`, 0}, {-4.166666666666667, 7.216878364870323}, {10, 0}, {6.666666666666667, 0}, {-2.5, 4.330127018922193}, {8.333333333333334, 0}, {0, 0}, {-1.6666666666666667`, 2.886751345948129}, {-3.3333333333333335`, 5.773502691896258}, {5, 0}}]]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{ Rational[-25, 6], Rational[25, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[-5, 6], Rational[5, 2] 3^Rational[-1, 2]}, { Rational[10, 3], 0}, {Rational[25, 3], 0}, { Rational[-10, 3], 10 3^Rational[-1, 2]}, {-5, 5 3^Rational[1, 2]}, { Rational[-5, 2], Rational[5, 2] 3^Rational[1, 2]}, {5, 0}, {0, 0}, {Rational[5, 3], 0}, {Rational[-5, 3], 5 3^Rational[-1, 2]}, { 10, 0}, {Rational[20, 3], 0}}, {{-4.166666666666667, 7.216878364870323}, {0, 0}, {-0.8333333333333334, 1.4433756729740645`}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {-3.3333333333333335`, 5.773502691896258}, {-5, 8.660254037844386}, {-2.5, 4.330127018922193}, {5, 0}, {0, 0}, { 1.6666666666666667`, 0}, {-1.6666666666666667`, 2.886751345948129}, {10, 0}, {6.666666666666667, 0}}]]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, {0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]], ImageSize->Tiny], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {5, 0}, {Rational[20, 3], 0}, {(Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {10, 0}, {(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[25, 3], 0}, {0, 0}, {(Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}}, {{ 4.829629131445341, 1.2940952255126035`}, {0, 0}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, { 3.2197527542968944`, 0.8627301503417358}, {5, 0}, { 6.666666666666667, 0}, {8.049381885742235, 2.1568253758543396`}, { 10, 0}, {9.659258262890681, 2.588190451025207}, { 6.439505508593789, 1.7254603006834717`}, {8.333333333333334, 0}, { 0, 0}, {1.6098763771484472`, 0.4313650751708679}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{(Rational[5, 2] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 2] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {0, 0}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {(Rational[5, 3] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 3] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {5, 0}, { Rational[20, 3], 0}, {(Rational[25, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (Rational[25, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {10, 0}, {(5 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), (5 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}, {(Rational[5, 3] 2^Rational[1, 2]) (1 + 3^Rational[1, 2]), (Rational[5, 3] 2^Rational[1, 2]) (-1 + 3^Rational[1, 2])}, { Rational[25, 3], 0}, {0, 0}, {(Rational[5, 6] 2^Rational[-1, 2]) (1 + 3^Rational[1, 2]), ( Rational[5, 6] 2^Rational[-1, 2]) (-1 + 3^Rational[1, 2])}}, {{ 4.829629131445341, 1.2940952255126035`}, {0, 0}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, { 3.2197527542968944`, 0.8627301503417358}, {5, 0}, { 6.666666666666667, 0}, {8.049381885742235, 2.1568253758543396`}, {10, 0}, {9.659258262890681, 2.588190451025207}, {6.439505508593789, 1.7254603006834717`}, { 8.333333333333334, 0}, {0, 0}, {1.6098763771484472`, 0.4313650751708679}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}}, {{ Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{0, -1}, {1, 0}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}, { Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{0, 1}, {-1, 0}}, {{Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.8660254037844386, -0.5}, {0.5, 0.8660254037844386}}, {{ 0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{0, -1}, {1, 0}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.8660254037844386, -0.5}, { 0.5, -0.8660254037844386}}, {{-1, 0}, { 0, -1}}, {{-0.8660254037844386, 0.5}, {-0.5, -0.8660254037844386}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0, 1}, {-1, 0}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}, {{ 0.8660254037844386, 0.5}, {-0.5, 0.8660254037844386}}}]], ImageSize->Tiny]} }, AutoDelete->False, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"]], "Output", TaggingRules->{}, CellChangeTimes->{3.7795301906724167`*^9, 3.7795306969731007`*^9, 3.7795497267008343`*^9, 3.779552079242979*^9, 3.779554208342949*^9, 3.779554775203483*^9, 3.779554824109336*^9, 3.780352328257865*^9, 3.780396925907222*^9, 3.7803974464650707`*^9, 3.780399859389803*^9, 3.78040023400458*^9, 3.7804003733598137`*^9, 3.780401128166308*^9, 3.780401290723884*^9, 3.7804018119175777`*^9, 3.780402266629084*^9, 3.780402395283636*^9, 3.8485077090594873`*^9, 3.859193972336339*^9}, CellLabel->"Out[1]=", CellID->789948784] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->14107565], Cell["A table of random colorized mandalas:", "Text", TaggingRules->{}, CellChangeTimes->{{3.8655235379444437`*^9, 3.865523539435279*^9}}, CellID->774786793], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"SeedRandom", "[", "474", "]"}], ";", RowBox[{"Multicolumn", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Reverse", "[", RowBox[{"Range", "[", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"3", ",", "4", ",", "5", ",", "6"}], "}"}], "]"}], "]"}], "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"2", ",", "3", ",", "4"}], "}"}], "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"3", ",", "4", ",", "5", ",", "6", ",", "7"}], "}"}], "]"}]}], ",", RowBox[{"ColorFunction", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"FilledCurve", "@*", "BezierCurve"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"FaceForm", "->", RowBox[{"{", RowBox[{"Opacity", "[", "0.7", "]"}], "}"}]}], ",", RowBox[{"EdgeForm", "\[Rule]", RowBox[{"{", RowBox[{"LightBlue", ",", RowBox[{"Opacity", "[", "1", "]"}]}], "}"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "150"}]}], "]"}], ",", "25"}], "]"}], ",", "6"}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7803529821749687`*^9, 3.780353152976318*^9}, { 3.7803532101513166`*^9, 3.780353414917698*^9}, 3.780353460774776*^9, { 3.780356101695457*^9, 3.780356197342009*^9}, {3.780356234515256*^9, 3.780356235055129*^9}, 3.78035629777501*^9, {3.780356345533884*^9, 3.780356473061005*^9}, {3.780356587311655*^9, 3.780356642703218*^9}, { 3.84852036459986*^9, 3.848520433270204*^9}}, CellLabel->"In[1]:=", CellID->589926506], Cell[BoxData[ TagBox[GridBox[{ { GraphicsBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { Rational[8, 3], 0}, {4 3^Rational[-1, 2], Rational[4, 3]}, { 0, 0}, {0, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, { Rational[4, 3], 0}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.6666666666666665`, 0}, {2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {0, 0}, {4, 0}, { 3.4641016151377544`, 2}, {1.3333333333333333`, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[-1, 2], Rational[2, 3]}, { Rational[8, 3], 0}, {4 3^Rational[-1, 2], Rational[4, 3]}, { 0, 0}, {0, 0}, {4, 0}, {2 3^Rational[1, 2], 2}, { Rational[4, 3], 0}}], BezierCurve[{{1.1547005383792517`, 0.6666666666666666}, { 2.6666666666666665`, 0}, {2.3094010767585034`, 1.3333333333333333`}, {0, 0}, {0, 0}, {4, 0}, { 3.4641016151377544`, 2}, {1.3333333333333333`, 0}}]]]}}, {{{ 1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {2, 0}, {0, 0}, {0, 0}, {3^Rational[1, 2], 1}, {3, 0}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {1, 0}}], BezierCurve[{{0.8660254037844386, 0.5}, {2, 0}, {0, 0}, {0, 0}, {1.7320508075688772`, 1}, {3, 0}, {2.598076211353316, 1.5}, {1, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {2, 0}, { 0, 0}, {0, 0}, {3^Rational[1, 2], 1}, {3, 0}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {1, 0}}], BezierCurve[{{0.8660254037844386, 0.5}, {2, 0}, {0, 0}, {0, 0}, {1.7320508075688772`, 1}, {3, 0}, {2.598076211353316, 1.5}, {1, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{3^Rational[1, 2], 1}, { 3^Rational[-1, 2], Rational[1, 3]}, {0, 0}, { Rational[4, 3], 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {2, 0}, { Rational[2, 3], 0}}], BezierCurve[{{1.7320508075688772`, 1}, {0.5773502691896258, 0.3333333333333333}, {0, 0}, {1.3333333333333333`, 0}, {0, 0}, {1.1547005383792517`, 0.6666666666666666}, {2, 0}, { 0.6666666666666666, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{3^Rational[1, 2], 1}, { 3^Rational[-1, 2], Rational[1, 3]}, {0, 0}, { Rational[4, 3], 0}, {0, 0}, { 2 3^Rational[-1, 2], Rational[2, 3]}, {2, 0}, { Rational[2, 3], 0}}], BezierCurve[{{1.7320508075688772`, 1}, {0.5773502691896258, 0.3333333333333333}, {0, 0}, {1.3333333333333333`, 0}, {0, 0}, {1.1547005383792517`, 0.6666666666666666}, {2, 0}, { 0.6666666666666666, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {3^Rational[-1, 2], Rational[1, 3]}, { Rational[2, 3], 0}, {0, 0}, {Rational[1, 3], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {0, 0}, { Rational[1, 2] 3^Rational[-1, 2], Rational[1, 6]}}], BezierCurve[{{1, 0}, {0.5773502691896258, 0.3333333333333333}, {0.6666666666666666, 0}, {0, 0}, { 0.3333333333333333, 0}, {0.8660254037844386, 0.5}, {0, 0}, { 0.2886751345948129, 0.16666666666666666`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {3^Rational[-1, 2], Rational[1, 3]}, { Rational[2, 3], 0}, {0, 0}, {Rational[1, 3], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {0, 0}, { Rational[1, 2] 3^Rational[-1, 2], Rational[1, 6]}}], BezierCurve[{{1, 0}, {0.5773502691896258, 0.3333333333333333}, {0.6666666666666666, 0}, {0, 0}, { 0.3333333333333333, 0}, {0.8660254037844386, 0.5}, {0, 0}, { 0.2886751345948129, 0.16666666666666666`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {EdgeForm[{RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, {4, 0}, {2, 0}, { 1, 3^Rational[1, 2]}, {2, 2 3^Rational[1, 2]}}], BezierCurve[{{0, 0}, {0, 0}, {4, 0}, {2, 0}, { 1, 1.7320508075688772`}, {2, 3.4641016151377544`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, {4, 0}, {2, 0}, { 1, 3^Rational[1, 2]}, {2, 2 3^Rational[1, 2]}}], BezierCurve[{{0, 0}, {0, 0}, {4, 0}, {2, 0}, { 1, 1.7320508075688772`}, {2, 3.4641016151377544`}}]]]}}, {{{ 1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, { Rational[3, 2], 0}, {0, 0}, {3, 0}}], BezierCurve[{{0, 0}, {0.75, 1.299038105676658}, {1.5, 2.598076211353316}, {1.5, 0}, {0, 0}, {3, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, { Rational[3, 2], 0}, {0, 0}, {3, 0}}], BezierCurve[{{0, 0}, {0.75, 1.299038105676658}, {1.5, 2.598076211353316}, {1.5, 0}, {0, 0}, {3, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.624866, 0.673302, 0.264296], {EdgeForm[{RGBColor[0.624866, 0.673302, 0.264296], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{1, 3^Rational[1, 2]}, {2, 0}, {1, 0}, {0, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}}], BezierCurve[{{1, 1.7320508075688772`}, {2, 0}, {1, 0}, {0, 0}, {0.5, 0.8660254037844386}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{1, 3^Rational[1, 2]}, {2, 0}, {1, 0}, {0, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}}], BezierCurve[{{1, 1.7320508075688772`}, {2, 0}, {1, 0}, {0, 0}, {0.5, 0.8660254037844386}, {0, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, { Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, {0, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}, {1, 0}}], BezierCurve[{{0.5, 0}, {0.25, 0.4330127018922193}, {0, 0}, {0.5, 0.8660254037844386}, {0, 0}, {1, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, { Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, {0, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}, { 1, 0}}], BezierCurve[{{0.5, 0}, {0.25, 0.4330127018922193}, {0, 0}, { 0.5, 0.8660254037844386}, {0, 0}, {1, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {EdgeForm[{RGBColor[0.264425, 0.423024, 0.3849], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 0}, { 5 2^Rational[-1, 2], 5 2^Rational[-1, 2]}, { Rational[5, 3] 2^Rational[1, 2], Rational[5, 3] 2^Rational[1, 2]}, {0, 0}, {Rational[5, 3], 0}, { Rational[5, 3] 2^Rational[-1, 2], Rational[5, 3] 2^Rational[-1, 2]}, {0, 0}, {5, 0}}], BezierCurve[{{3.3333333333333335`, 0}, {3.5355339059327373`, 3.5355339059327373`}, {2.3570226039551585`, 2.3570226039551585`}, {0, 0}, {1.6666666666666667`, 0}, { 1.1785113019775793`, 1.1785113019775793`}, {0, 0}, {5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 0}, { 5 2^Rational[-1, 2], 5 2^Rational[-1, 2]}, { Rational[5, 3] 2^Rational[1, 2], Rational[5, 3] 2^Rational[1, 2]}, {0, 0}, {Rational[5, 3], 0}, { Rational[5, 3] 2^Rational[-1, 2], Rational[5, 3] 2^Rational[-1, 2]}, {0, 0}, {5, 0}}], BezierCurve[{{3.3333333333333335`, 0}, {3.5355339059327373`, 3.5355339059327373`}, {2.3570226039551585`, 2.3570226039551585`}, {0, 0}, {1.6666666666666667`, 0}, { 1.1785113019775793`, 1.1785113019775793`}, {0, 0}, {5, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {4, 0}, { Rational[4, 3] 2^Rational[1, 2], Rational[4, 3] 2^Rational[1, 2]}, {0, 0}, {Rational[8, 3], 0}, { Rational[4, 3], 0}, { Rational[2, 3] 2^Rational[1, 2], Rational[2, 3] 2^Rational[1, 2]}, { 2 2^Rational[1, 2], 2 2^Rational[1, 2]}}], BezierCurve[{{0, 0}, {4, 0}, {1.8856180831641267`, 1.8856180831641267`}, {0, 0}, {2.6666666666666665`, 0}, { 1.3333333333333333`, 0}, {0.9428090415820634, 0.9428090415820634}, {2.8284271247461903`, 2.8284271247461903`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {4, 0}, { Rational[4, 3] 2^Rational[1, 2], Rational[4, 3] 2^Rational[1, 2]}, {0, 0}, {Rational[8, 3], 0}, { Rational[4, 3], 0}, { Rational[2, 3] 2^Rational[1, 2], Rational[2, 3] 2^Rational[1, 2]}, { 2 2^Rational[1, 2], 2 2^Rational[1, 2]}}], BezierCurve[{{0, 0}, {4, 0}, {1.8856180831641267`, 1.8856180831641267`}, {0, 0}, {2.6666666666666665`, 0}, { 1.3333333333333333`, 0}, {0.9428090415820634, 0.9428090415820634}, {2.8284271247461903`, 2.8284271247461903`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, { 0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.264425, 0.423024, 0.3849], {EdgeForm[{RGBColor[0.264425, 0.423024, 0.3849], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {0, 0}, {1, 0}, {3, 0}, { 3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, {0, 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { 2^Rational[1, 2], 2^Rational[1, 2]}}], BezierCurve[{{2, 0}, {0, 0}, {1, 0}, {3, 0}, { 2.1213203435596424`, 2.1213203435596424`}, {0, 0}, { 0.7071067811865475, 0.7071067811865475}, { 1.4142135623730951`, 1.4142135623730951`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {0, 0}, {1, 0}, {3, 0}, { 3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, {0, 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { 2^Rational[1, 2], 2^Rational[1, 2]}}], BezierCurve[{{2, 0}, {0, 0}, {1, 0}, {3, 0}, { 2.1213203435596424`, 2.1213203435596424`}, {0, 0}, { 0.7071067811865475, 0.7071067811865475}, { 1.4142135623730951`, 1.4142135623730951`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[2, 3] 2^Rational[1, 2], Rational[2, 3] 2^Rational[1, 2]}, {Rational[2, 3], 0}, { Rational[1, 3] 2^Rational[1, 2], Rational[1, 3] 2^Rational[1, 2]}, {2^Rational[1, 2], 2^Rational[1, 2]}, {0, 0}, {0, 0}, {Rational[4, 3], 0}, {2, 0}}], BezierCurve[{{0.9428090415820634, 0.9428090415820634}, { 0.6666666666666666, 0}, {0.4714045207910317, 0.4714045207910317}, {1.4142135623730951`, 1.4142135623730951`}, {0, 0}, {0, 0}, { 1.3333333333333333`, 0}, {2, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[2, 3] 2^Rational[1, 2], Rational[2, 3] 2^Rational[1, 2]}, {Rational[2, 3], 0}, { Rational[1, 3] 2^Rational[1, 2], Rational[1, 3] 2^Rational[1, 2]}, {2^Rational[1, 2], 2^Rational[1, 2]}, { 0, 0}, {0, 0}, {Rational[4, 3], 0}, {2, 0}}], BezierCurve[{{0.9428090415820634, 0.9428090415820634}, { 0.6666666666666666, 0}, {0.4714045207910317, 0.4714045207910317}, {1.4142135623730951`, 1.4142135623730951`}, {0, 0}, {0, 0}, { 1.3333333333333333`, 0}, {2, 0}}]]]}}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, { 0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {0, 0}, { Rational[1, 3] 2^Rational[1, 2], Rational[1, 3] 2^Rational[1, 2]}, {2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[1, 3] 2^Rational[-1, 2], Rational[1, 3] 2^Rational[-1, 2]}, {0, 0}, {Rational[1, 3], 0}, { Rational[2, 3], 0}}], BezierCurve[{{1, 0}, {0, 0}, {0.4714045207910317, 0.4714045207910317}, {0.7071067811865475, 0.7071067811865475}, {0.2357022603955158, 0.2357022603955158}, {0, 0}, {0.3333333333333333, 0}, { 0.6666666666666666, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {0, 0}, { Rational[1, 3] 2^Rational[1, 2], Rational[1, 3] 2^Rational[1, 2]}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[1, 3] 2^Rational[-1, 2], Rational[1, 3] 2^Rational[-1, 2]}, {0, 0}, {Rational[1, 3], 0}, { Rational[2, 3], 0}}], BezierCurve[{{1, 0}, {0, 0}, {0.4714045207910317, 0.4714045207910317}, {0.7071067811865475, 0.7071067811865475}, {0.2357022603955158, 0.2357022603955158}, {0, 0}, {0.3333333333333333, 0}, { 0.6666666666666666, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, { 0, -1}}, {{0, 1}, {-1, 0}}}]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[9, 2], 0}, {6, 0}, { 3 3^Rational[1, 2], 3}, {0, 0}, { Rational[9, 4] 3^Rational[1, 2], Rational[9, 4]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {3, 0}, { Rational[3, 2], 0}, {0, 0}}], BezierCurve[{{4.5, 0}, {6, 0}, {5.196152422706632, 3}, {0, 0}, {3.8971143170299736`, 2.25}, {2.598076211353316, 1.5}, { 1.299038105676658, 0.75}, {3, 0}, {1.5, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[9, 2], 0}, {6, 0}, { 3 3^Rational[1, 2], 3}, {0, 0}, { Rational[9, 4] 3^Rational[1, 2], Rational[9, 4]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {3, 0}, { Rational[3, 2], 0}, {0, 0}}], BezierCurve[{{4.5, 0}, {6, 0}, {5.196152422706632, 3}, {0, 0}, {3.8971143170299736`, 2.25}, {2.598076211353316, 1.5}, { 1.299038105676658, 0.75}, {3, 0}, {1.5, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[5, 4], 0}, { Rational[15, 4], 0}, {0, 0}, {5, 0}, { Rational[5, 8] 3^Rational[1, 2], Rational[5, 8]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, { Rational[5, 2], 0}, { Rational[15, 8] 3^Rational[1, 2], Rational[15, 8]}}], BezierCurve[{{0, 0}, {1.25, 0}, {3.75, 0}, {0, 0}, {5, 0}, { 1.0825317547305482`, 0.625}, {4.330127018922193, 2.5}, { 2.1650635094610964`, 1.25}, {2.5, 0}, {3.2475952641916446`, 1.875}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[5, 4], 0}, { Rational[15, 4], 0}, {0, 0}, {5, 0}, { Rational[5, 8] 3^Rational[1, 2], Rational[5, 8]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, { Rational[5, 2], 0}, { Rational[15, 8] 3^Rational[1, 2], Rational[15, 8]}}], BezierCurve[{{0, 0}, {1.25, 0}, {3.75, 0}, {0, 0}, {5, 0}, { 1.0825317547305482`, 0.625}, {4.330127018922193, 2.5}, { 2.1650635094610964`, 1.25}, {2.5, 0}, {3.2475952641916446`, 1.875}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[1, 2], 2}, {2, 0}, {0, 0}, {1, 0}, { 0, 0}, {4, 0}, {3, 0}, {3^Rational[1, 2], 1}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}}], BezierCurve[{{3.4641016151377544`, 2}, {2, 0}, {0, 0}, {1, 0}, {0, 0}, {4, 0}, {3, 0}, {1.7320508075688772`, 1}, { 0.8660254037844386, 0.5}, {2.598076211353316, 1.5}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{2 3^Rational[1, 2], 2}, {2, 0}, {0, 0}, {1, 0}, { 0, 0}, {4, 0}, {3, 0}, {3^Rational[1, 2], 1}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}}], BezierCurve[{{3.4641016151377544`, 2}, {2, 0}, {0, 0}, {1, 0}, {0, 0}, {4, 0}, {3, 0}, {1.7320508075688772`, 1}, { 0.8660254037844386, 0.5}, {2.598076211353316, 1.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[3, 4], 0}, {Rational[3, 2], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, { Rational[9, 8] 3^Rational[1, 2], Rational[9, 8]}, {3, 0}, { Rational[9, 4], 0}, {0, 0}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}}], BezierCurve[{{0, 0}, {0.75, 0}, {1.5, 0}, {0.649519052838329, 0.375}, {1.9485571585149868`, 1.125}, {3, 0}, {2.25, 0}, {0, 0}, {1.299038105676658, 0.75}, {2.598076211353316, 1.5}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[3, 4], 0}, { Rational[3, 2], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, { Rational[9, 8] 3^Rational[1, 2], Rational[9, 8]}, {3, 0}, { Rational[9, 4], 0}, {0, 0}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}}], BezierCurve[{{0, 0}, {0.75, 0}, {1.5, 0}, {0.649519052838329, 0.375}, {1.9485571585149868`, 1.125}, {3, 0}, {2.25, 0}, {0, 0}, {1.299038105676658, 0.75}, {2.598076211353316, 1.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.624866, 0.673302, 0.264296], {EdgeForm[{RGBColor[0.624866, 0.673302, 0.264296], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {2, 0}, { 3^Rational[1, 2], 1}, {Rational[1, 2], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2], 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, {1, 0}, {0, 0}}], BezierCurve[{{0, 0}, {1.299038105676658, 0.75}, {2, 0}, {1.7320508075688772`, 1}, {0.5, 0}, {0.8660254037844386, 0.5}, {1.5, 0}, {0.4330127018922193, 0.25}, {1, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {2, 0}, { 3^Rational[1, 2], 1}, {Rational[1, 2], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2], 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, {1, 0}, { 0, 0}}], BezierCurve[{{0, 0}, {1.299038105676658, 0.75}, {2, 0}, { 1.7320508075688772`, 1}, {0.5, 0}, {0.8660254037844386, 0.5}, {1.5, 0}, {0.4330127018922193, 0.25}, {1, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, {Rational[3, 4], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, {0, 0}, {0, 0}, {1, 0}, { Rational[1, 8] 3^Rational[1, 2], Rational[1, 8]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[1, 4], 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}}], BezierCurve[{{0.5, 0}, {0.75, 0}, {0.649519052838329, 0.375}, { 0, 0}, {0, 0}, {1, 0}, {0.21650635094610965`, 0.125}, { 0.8660254037844386, 0.5}, {0.25, 0}, {0.4330127018922193, 0.25}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, {Rational[3, 4], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, {0, 0}, { 0, 0}, {1, 0}, { Rational[1, 8] 3^Rational[1, 2], Rational[1, 8]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[1, 4], 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}}], BezierCurve[{{0.5, 0}, {0.75, 0}, {0.649519052838329, 0.375}, {0, 0}, {0, 0}, {1, 0}, {0.21650635094610965`, 0.125}, {0.8660254037844386, 0.5}, {0.25, 0}, { 0.4330127018922193, 0.25}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {3, 0}, {Rational[3, 2], 0}}], BezierCurve[{{0, 0}, {0, 0}, {1.2135254915624212`, 0.8816778784387097}, {2.4270509831248424`, 1.7633557568774194`}, {3, 0}, {1.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {0, 0}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {3, 0}, {Rational[3, 2], 0}}], BezierCurve[{{0, 0}, {0, 0}, {1.2135254915624212`, 0.8816778784387097}, {2.4270509831248424`, 1.7633557568774194`}, {3, 0}, {1.5, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {0, 0}, {Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {1, 0}, {0, 0}, {2, 0}}], BezierCurve[{{0.8090169943749475, 0.5877852522924731}, {0, 0}, {1.618033988749895, 1.1755705045849463`}, {1, 0}, {0, 0}, {2, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {0, 0}, {Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {1, 0}, {0, 0}, {2, 0}}], BezierCurve[{{0.8090169943749475, 0.5877852522924731}, {0, 0}, {1.618033988749895, 1.1755705045849463`}, {1, 0}, {0, 0}, {2, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {1, 0}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2], 0}}], BezierCurve[{{0, 0}, {1, 0}, {0.4045084971874737, 0.29389262614623657`}, {0, 0}, {0.8090169943749475, 0.5877852522924731}, {0.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {1, 0}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2], 0}}], BezierCurve[{{0, 0}, {1, 0}, {0.4045084971874737, 0.29389262614623657`}, {0, 0}, {0.8090169943749475, 0.5877852522924731}, {0.5, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}}, ImageSize->150], ""}, { GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { 1 + 5^Rational[1, 2], 4 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {4, 0}, {0, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {3, 0}, {Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {1, 0}, {2, 0}}], BezierCurve[{{0, 0}, {3.23606797749979, 2.3511410091698925`}, { 1.618033988749895, 1.1755705045849463`}, {4, 0}, {0, 0}, { 0.8090169943749475, 0.5877852522924731}, {3, 0}, { 2.4270509831248424`, 1.7633557568774194`}, {1, 0}, {2, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { 1 + 5^Rational[1, 2], 4 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {4, 0}, {0, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {3, 0}, {Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {1, 0}, {2, 0}}], BezierCurve[{{0, 0}, {3.23606797749979, 2.3511410091698925`}, {1.618033988749895, 1.1755705045849463`}, {4, 0}, {0, 0}, {0.8090169943749475, 0.5877852522924731}, {3, 0}, {2.4270509831248424`, 1.7633557568774194`}, {1, 0}, {2, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[9, 16] (1 + 5^Rational[1, 2]), Rational[ 9, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 4], 0}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 2], 0}, { Rational[9, 4], 0}, {3, 0}, {0, 0}, { Rational[3, 16] (1 + 5^Rational[1, 2]), Rational[ 3, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0, 0}, {1.8202882373436318`, 1.3225168176580646`}, {0.75, 0}, {2.4270509831248424`, 1.7633557568774194`}, {1.5, 0}, {2.25, 0}, {3, 0}, {0, 0}, { 0.6067627457812106, 0.44083893921935485`}, { 1.2135254915624212`, 0.8816778784387097}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[9, 16] (1 + 5^Rational[1, 2]), Rational[ 9, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 4], 0}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 2], 0}, { Rational[9, 4], 0}, {3, 0}, {0, 0}, { Rational[3, 16] (1 + 5^Rational[1, 2]), Rational[ 3, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0, 0}, {1.8202882373436318`, 1.3225168176580646`}, {0.75, 0}, {2.4270509831248424`, 1.7633557568774194`}, {1.5, 0}, {2.25, 0}, {3, 0}, {0, 0}, { 0.6067627457812106, 0.44083893921935485`}, { 1.2135254915624212`, 0.8816778784387097}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {2, 0}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {Rational[1, 2], 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 2], 0}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {1, 0}}], BezierCurve[{{0, 0}, {1.618033988749895, 1.1755705045849463`}, {2, 0}, {1.2135254915624212`, 0.8816778784387097}, {0, 0}, {0.5, 0}, {0.8090169943749475, 0.5877852522924731}, {1.5, 0}, {0.4045084971874737, 0.29389262614623657`}, {1, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {2, 0}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {Rational[1, 2], 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 2], 0}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {1, 0}}], BezierCurve[{{0, 0}, {1.618033988749895, 1.1755705045849463`}, {2, 0}, {1.2135254915624212`, 0.8816778784387097}, {0, 0}, {0.5, 0}, {0.8090169943749475, 0.5877852522924731}, {1.5, 0}, {0.4045084971874737, 0.29389262614623657`}, {1, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {EdgeForm[{RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 16] (1 + 5^Rational[1, 2]), Rational[ 3, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[1, 2], 0}, {0, 0}, { Rational[3, 4], 0}, {1, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4], 0}, { Rational[1, 16] (1 + 5^Rational[1, 2]), Rational[ 1, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0, 0}, {0.6067627457812106, 0.44083893921935485`}, {0.4045084971874737, 0.29389262614623657`}, {0.5, 0}, {0, 0}, {0.75, 0}, {1, 0}, { 0.8090169943749475, 0.5877852522924731}, {0.25, 0}, { 0.20225424859373686`, 0.14694631307311828`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 16] (1 + 5^Rational[1, 2]), Rational[ 3, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[1, 2], 0}, {0, 0}, { Rational[3, 4], 0}, {1, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 4], 0}, { Rational[1, 16] (1 + 5^Rational[1, 2]), Rational[ 1, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0, 0}, {0.6067627457812106, 0.44083893921935485`}, {0.4045084971874737, 0.29389262614623657`}, {0.5, 0}, {0, 0}, {0.75, 0}, {1, 0}, {0.8090169943749475, 0.5877852522924731}, {0.25, 0}, { 0.20225424859373686`, 0.14694631307311828`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {3, 0}, {1, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {0, 0}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {2, 0}}], BezierCurve[{{0, 0}, {1.8019377358048383`, 0.8677674782351162}, {3, 0}, {1, 0}, {0.9009688679024191, 0.4338837391175581}, {0, 0}, {2.7029066037072575`, 1.3016512173526744`}, {2, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {3, 0}, {1, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {0, 0}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {2, 0}}], BezierCurve[{{0, 0}, {1.8019377358048383`, 0.8677674782351162}, {3, 0}, {1, 0}, {0.9009688679024191, 0.4338837391175581}, {0, 0}, {2.7029066037072575`, 1.3016512173526744`}, {2, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {EdgeForm[{RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[4, 3] Cos[Rational[1, 7] Pi], Rational[4, 3] Sin[Rational[1, 7] Pi]}, {0, 0}, { Rational[2, 3] Cos[Rational[1, 7] Pi], Rational[2, 3] Sin[Rational[1, 7] Pi]}, {0, 0}, {Rational[2, 3], 0}, {2, 0}, {Rational[4, 3], 0}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}}], BezierCurve[{{1.2012918238698922`, 0.5785116521567442}, {0, 0}, {0.6006459119349461, 0.2892558260783721}, {0, 0}, { 0.6666666666666666, 0}, {2, 0}, {1.3333333333333333`, 0}, { 1.8019377358048383`, 0.8677674782351162}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[4, 3] Cos[Rational[1, 7] Pi], Rational[4, 3] Sin[Rational[1, 7] Pi]}, {0, 0}, { Rational[2, 3] Cos[Rational[1, 7] Pi], Rational[2, 3] Sin[Rational[1, 7] Pi]}, {0, 0}, {Rational[2, 3], 0}, {2, 0}, {Rational[4, 3], 0}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}}], BezierCurve[{{1.2012918238698922`, 0.5785116521567442}, {0, 0}, {0.6006459119349461, 0.2892558260783721}, {0, 0}, { 0.6666666666666666, 0}, {2, 0}, {1.3333333333333333`, 0}, { 1.8019377358048383`, 0.8677674782351162}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[1, 3], 0}, {0, 0}, {1, 0}, { Rational[2, 3], 0}, { Rational[2, 3] Cos[Rational[1, 7] Pi], Rational[2, 3] Sin[Rational[1, 7] Pi]}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, { Rational[1, 3] Cos[Rational[1, 7] Pi], Rational[1, 3] Sin[Rational[1, 7] Pi]}}], BezierCurve[{{0, 0}, {0.3333333333333333, 0}, {0, 0}, {1, 0}, { 0.6666666666666666, 0}, {0.6006459119349461, 0.2892558260783721}, {0.9009688679024191, 0.4338837391175581}, {0.30032295596747305`, 0.14462791303918604`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[1, 3], 0}, {0, 0}, {1, 0}, { Rational[2, 3], 0}, { Rational[2, 3] Cos[Rational[1, 7] Pi], Rational[2, 3] Sin[Rational[1, 7] Pi]}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, { Rational[1, 3] Cos[Rational[1, 7] Pi], Rational[1, 3] Sin[Rational[1, 7] Pi]}}], BezierCurve[{{0, 0}, {0.3333333333333333, 0}, {0, 0}, {1, 0}, {0.6666666666666666, 0}, {0.6006459119349461, 0.2892558260783721}, {0.9009688679024191, 0.4338837391175581}, {0.30032295596747305`, 0.14462791303918604`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{ 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {2, 0}, {3, 0}, {1, 0}, {4, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {0, 0}, { 4 Cos[Rational[1, 7] Pi], 4 Sin[Rational[1, 7] Pi]}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {0, 0}}], BezierCurve[{{1.8019377358048383`, 0.8677674782351162}, {2, 0}, {3, 0}, {1, 0}, {4, 0}, { 0.9009688679024191, 0.4338837391175581}, {0, 0}, { 3.6038754716096766`, 1.7355349564702325`}, { 2.7029066037072575`, 1.3016512173526744`}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{ 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {2, 0}, {3, 0}, {1, 0}, {4, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {0, 0}, { 4 Cos[Rational[1, 7] Pi], 4 Sin[Rational[1, 7] Pi]}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {0, 0}}], BezierCurve[{{1.8019377358048383`, 0.8677674782351162}, {2, 0}, {3, 0}, {1, 0}, {4, 0}, { 0.9009688679024191, 0.4338837391175581}, {0, 0}, { 3.6038754716096766`, 1.7355349564702325`}, { 2.7029066037072575`, 1.3016512173526744`}, {0, 0}}]]]}}, {{{ 1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {EdgeForm[{RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{ 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {0, 0}, {Rational[3, 2], 0}, {3, 0}, {Rational[9, 4], 0}, { Rational[9, 4] Cos[Rational[1, 7] Pi], Rational[9, 4] Sin[Rational[1, 7] Pi]}, { Rational[3, 2] Cos[Rational[1, 7] Pi], Rational[3, 2] Sin[Rational[1, 7] Pi]}, {Rational[3, 4], 0}, {0, 0}, { Rational[3, 4] Cos[Rational[1, 7] Pi], Rational[3, 4] Sin[Rational[1, 7] Pi]}}], BezierCurve[{{2.7029066037072575`, 1.3016512173526744`}, {0, 0}, {1.5, 0}, {3, 0}, {2.25, 0}, {2.0271799527804433`, 0.9762384130145058}, {1.3514533018536288`, 0.6508256086763372}, {0.75, 0}, {0, 0}, {0.6757266509268144, 0.3254128043381686}}]]]}}, GeometricTransformationBox[ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{ 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {0, 0}, {Rational[3, 2], 0}, {3, 0}, {Rational[9, 4], 0}, { Rational[9, 4] Cos[Rational[1, 7] Pi], Rational[9, 4] Sin[Rational[1, 7] Pi]}, { Rational[3, 2] Cos[Rational[1, 7] Pi], Rational[3, 2] Sin[Rational[1, 7] Pi]}, {Rational[3, 4], 0}, {0, 0}, { Rational[3, 4] Cos[Rational[1, 7] Pi], Rational[3, 4] Sin[Rational[1, 7] Pi]}}], BezierCurve[{{2.7029066037072575`, 1.3016512173526744`}, {0, 0}, {1.5, 0}, {3, 0}, {2.25, 0}, {2.0271799527804433`, 0.9762384130145058}, {1.3514533018536288`, 0.6508256086763372}, {0.75, 0}, {0, 0}, {0.6757266509268144, 0.3254128043381686}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.264425, 0.423024, 0.3849], {EdgeForm[{RGBColor[0.264425, 0.423024, 0.3849], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {1, 0}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, { Rational[1, 2] Cos[Rational[1, 7] Pi], Rational[1, 2] Sin[Rational[1, 7] Pi]}, { Rational[3, 2] Cos[Rational[1, 7] Pi], Rational[3, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {2, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, { Rational[3, 2], 0}, {Rational[1, 2], 0}}], BezierCurve[{{0, 0}, {1, 0}, {1.8019377358048383`, 0.8677674782351162}, {0.4504844339512096, 0.21694186955877906`}, {1.3514533018536288`, 0.6508256086763372}, {0, 0}, {2, 0}, {0.9009688679024191, 0.4338837391175581}, {1.5, 0}, {0.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {1, 0}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, { Rational[1, 2] Cos[Rational[1, 7] Pi], Rational[1, 2] Sin[Rational[1, 7] Pi]}, { Rational[3, 2] Cos[Rational[1, 7] Pi], Rational[3, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {2, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, { Rational[3, 2], 0}, {Rational[1, 2], 0}}], BezierCurve[{{0, 0}, {1, 0}, {1.8019377358048383`, 0.8677674782351162}, {0.4504844339512096, 0.21694186955877906`}, {1.3514533018536288`, 0.6508256086763372}, {0, 0}, {2, 0}, {0.9009688679024191, 0.4338837391175581}, {1.5, 0}, {0.5, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 4] Cos[Rational[1, 7] Pi], Rational[3, 4] Sin[Rational[1, 7] Pi]}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {1, 0}, { Rational[1, 2] Cos[Rational[1, 7] Pi], Rational[1, 2] Sin[Rational[1, 7] Pi]}, {Rational[3, 4], 0}, { Rational[1, 4] Cos[Rational[1, 7] Pi], Rational[1, 4] Sin[Rational[1, 7] Pi]}, {0, 0}, {Rational[1, 4], 0}, {0, 0}, {Rational[1, 2], 0}}], BezierCurve[{{0.6757266509268144, 0.3254128043381686}, { 0.9009688679024191, 0.4338837391175581}, {1, 0}, { 0.4504844339512096, 0.21694186955877906`}, {0.75, 0}, { 0.2252422169756048, 0.10847093477938953`}, {0, 0}, { 0.25, 0}, {0, 0}, {0.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 4] Cos[Rational[1, 7] Pi], Rational[3, 4] Sin[Rational[1, 7] Pi]}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {1, 0}, { Rational[1, 2] Cos[Rational[1, 7] Pi], Rational[1, 2] Sin[Rational[1, 7] Pi]}, {Rational[3, 4], 0}, { Rational[1, 4] Cos[Rational[1, 7] Pi], Rational[1, 4] Sin[Rational[1, 7] Pi]}, {0, 0}, {Rational[1, 4], 0}, {0, 0}, {Rational[1, 2], 0}}], BezierCurve[{{0.6757266509268144, 0.3254128043381686}, { 0.9009688679024191, 0.4338837391175581}, {1, 0}, { 0.4504844339512096, 0.21694186955877906`}, {0.75, 0}, { 0.2252422169756048, 0.10847093477938953`}, {0, 0}, { 0.25, 0}, {0, 0}, {0.5, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{4, 0}, {2, 2 3^Rational[1, 2]}, {0, 0}, { 3, 3 3^Rational[1, 2]}, {2, 0}, {0, 0}, {6, 0}, { 1, 3^Rational[1, 2]}}], BezierCurve[{{4, 0}, {2, 3.4641016151377544`}, {0, 0}, { 3, 5.196152422706632}, {2, 0}, {0, 0}, {6, 0}, { 1, 1.7320508075688772`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{4, 0}, {2, 2 3^Rational[1, 2]}, {0, 0}, { 3, 3 3^Rational[1, 2]}, {2, 0}, {0, 0}, {6, 0}, { 1, 3^Rational[1, 2]}}], BezierCurve[{{4, 0}, {2, 3.4641016151377544`}, {0, 0}, { 3, 5.196152422706632}, {2, 0}, {0, 0}, {6, 0}, { 1, 1.7320508075688772`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[5, 3], 0}, { Rational[10, 3], 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, {5, 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}}], BezierCurve[{{0, 0}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}, {0.8333333333333334, 1.4433756729740645`}, {0, 0}, {2.5, 4.330127018922193}, {5, 0}, {1.6666666666666667`, 2.886751345948129}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[5, 3], 0}, { Rational[10, 3], 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, {5, 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}}], BezierCurve[{{0, 0}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}, {0.8333333333333334, 1.4433756729740645`}, {0, 0}, {2.5, 4.330127018922193}, {5, 0}, {1.6666666666666667`, 2.886751345948129}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, {Rational[4, 3], 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}, {0, 0}, {0, 0}, { 2, 2 3^Rational[1, 2]}, {4, 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}}], BezierCurve[{{2.6666666666666665`, 0}, { 1.3333333333333333`, 0}, {1.3333333333333333`, 2.3094010767585034`}, {0, 0}, {0, 0}, { 2, 3.4641016151377544`}, {4, 0}, {0.6666666666666666, 1.1547005383792517`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, {Rational[4, 3], 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}, {0, 0}, {0, 0}, { 2, 2 3^Rational[1, 2]}, {4, 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}}], BezierCurve[{{2.6666666666666665`, 0}, { 1.3333333333333333`, 0}, {1.3333333333333333`, 2.3094010767585034`}, {0, 0}, {0, 0}, { 2, 3.4641016151377544`}, {4, 0}, {0.6666666666666666, 1.1547005383792517`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{3, 0}, {0, 0}, {2, 0}, {1, 0}, {0, 0}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { 1, 3^Rational[1, 2]}}], BezierCurve[{{3, 0}, {0, 0}, {2, 0}, {1, 0}, {0, 0}, {1.5, 2.598076211353316}, {0.5, 0.8660254037844386}, { 1, 1.7320508075688772`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{3, 0}, {0, 0}, {2, 0}, {1, 0}, {0, 0}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { 1, 3^Rational[1, 2]}}], BezierCurve[{{3, 0}, {0, 0}, {2, 0}, {1, 0}, {0, 0}, {1.5, 2.598076211353316}, {0.5, 0.8660254037844386}, { 1, 1.7320508075688772`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.624866, 0.673302, 0.264296], {EdgeForm[{RGBColor[0.624866, 0.673302, 0.264296], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[4, 3], 0}, {Rational[2, 3], 0}, { 2, 0}, {1, 3^Rational[1, 2]}, {0, 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}}], BezierCurve[{{0, 0}, {1.3333333333333333`, 0}, { 0.6666666666666666, 0}, {2, 0}, {1, 1.7320508075688772`}, {0, 0}, {0.6666666666666666, 1.1547005383792517`}, { 0.3333333333333333, 0.5773502691896258}}]]]}}, GeometricTransformationBox[ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[4, 3], 0}, { Rational[2, 3], 0}, {2, 0}, {1, 3^Rational[1, 2]}, {0, 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}}], BezierCurve[{{0, 0}, {1.3333333333333333`, 0}, { 0.6666666666666666, 0}, {2, 0}, {1, 1.7320508075688772`}, { 0, 0}, {0.6666666666666666, 1.1547005383792517`}, { 0.3333333333333333, 0.5773502691896258}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 6], Rational[1, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}, {Rational[1, 3], 0}, {1, 0}, {0, 0}, {Rational[2, 3], 0}}], BezierCurve[{{0.16666666666666666`, 0.2886751345948129}, {0, 0}, {0.5, 0.8660254037844386}, {0.3333333333333333, 0.5773502691896258}, {0.3333333333333333, 0}, {1, 0}, {0, 0}, {0.6666666666666666, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 6], Rational[1, 2] 3^Rational[-1, 2]}, {0, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}, {Rational[1, 3], 0}, {1, 0}, {0, 0}, {Rational[2, 3], 0}}], BezierCurve[{{0.16666666666666666`, 0.2886751345948129}, {0, 0}, {0.5, 0.8660254037844386}, {0.3333333333333333, 0.5773502691896258}, {0.3333333333333333, 0}, {1, 0}, {0, 0}, {0.6666666666666666, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {2, 0}, {1, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {0, 0}, {Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {3, 0}, {0, 0}}], BezierCurve[{{1.618033988749895, 1.1755705045849463`}, {2, 0}, {1, 0}, {0.8090169943749475, 0.5877852522924731}, {0, 0}, {2.4270509831248424`, 1.7633557568774194`}, {3, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {2, 0}, {1, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {0, 0}, {Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {3, 0}, {0, 0}}], BezierCurve[{{1.618033988749895, 1.1755705045849463`}, {2, 0}, {1, 0}, {0.8090169943749475, 0.5877852522924731}, {0, 0}, {2.4270509831248424`, 1.7633557568774194`}, {3, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.264425, 0.423024, 0.3849], {EdgeForm[{RGBColor[0.264425, 0.423024, 0.3849], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{Rational[4, 3], 0}, {2, 0}, {0, 0}, {0, 0}, { Rational[1, 6] (1 + 5^Rational[1, 2]), Rational[ 2, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 3] (1 + 5^Rational[1, 2]), Rational[ 4, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[2, 3], 0}}], BezierCurve[{{1.3333333333333333`, 0}, {2, 0}, {0, 0}, {0, 0}, {0.5393446629166316, 0.39185683486164874`}, { 1.0786893258332633`, 0.7837136697232975}, {1.618033988749895, 1.1755705045849463`}, {0.6666666666666666, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{Rational[4, 3], 0}, {2, 0}, {0, 0}, {0, 0}, { Rational[1, 6] (1 + 5^Rational[1, 2]), Rational[ 2, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 3] (1 + 5^Rational[1, 2]), Rational[ 4, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[2, 3], 0}}], BezierCurve[{{1.3333333333333333`, 0}, {2, 0}, {0, 0}, {0, 0}, {0.5393446629166316, 0.39185683486164874`}, { 1.0786893258332633`, 0.7837136697232975}, { 1.618033988749895, 1.1755705045849463`}, { 0.6666666666666666, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {0, 0}, { Rational[1, 6] (1 + 5^Rational[1, 2]), Rational[ 2, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {Rational[1, 3], 0}, { Rational[1, 12] (1 + 5^Rational[1, 2]), Rational[ 1, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[2, 3], 0}}], BezierCurve[{{1, 0}, {0, 0}, {0.5393446629166316, 0.39185683486164874`}, {0, 0}, {0.3333333333333333, 0}, { 0.2696723314583158, 0.19592841743082437`}, { 0.8090169943749475, 0.5877852522924731}, { 0.6666666666666666, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {0, 0}, { Rational[1, 6] (1 + 5^Rational[1, 2]), Rational[ 2, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {Rational[1, 3], 0}, { Rational[1, 12] (1 + 5^Rational[1, 2]), Rational[ 1, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[2, 3], 0}}], BezierCurve[{{1, 0}, {0, 0}, {0.5393446629166316, 0.39185683486164874`}, {0, 0}, {0.3333333333333333, 0}, { 0.2696723314583158, 0.19592841743082437`}, { 0.8090169943749475, 0.5877852522924731}, { 0.6666666666666666, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}}, ImageSize->150], ""}, { GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 2], 0}, {Rational[9, 4], 0}, {0, 0}, { 0, 0}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, { 3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, { Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, { Rational[9, 4] 2^Rational[-1, 2], Rational[9, 4] 2^Rational[-1, 2]}, {Rational[3, 4], 0}, {3, 0}}], BezierCurve[{{1.5, 0}, {2.25, 0}, {0, 0}, {0, 0}, { 1.0606601717798212`, 1.0606601717798212`}, { 2.1213203435596424`, 2.1213203435596424`}, { 0.5303300858899106, 0.5303300858899106}, {1.590990257669732, 1.590990257669732}, {0.75, 0}, {3, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 2], 0}, {Rational[9, 4], 0}, {0, 0}, {0, 0}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, { 3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, { Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, { Rational[9, 4] 2^Rational[-1, 2], Rational[9, 4] 2^Rational[-1, 2]}, {Rational[3, 4], 0}, {3, 0}}], BezierCurve[{{1.5, 0}, {2.25, 0}, {0, 0}, {0, 0}, { 1.0606601717798212`, 1.0606601717798212`}, { 2.1213203435596424`, 2.1213203435596424`}, { 0.5303300858899106, 0.5303300858899106}, {1.590990257669732, 1.590990257669732}, {0.75, 0}, {3, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {Rational[1, 2], 0}, {1, 0}, {0, 0}, { 2^Rational[1, 2], 2^Rational[1, 2]}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, {Rational[3, 2], 0}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, {0, 0}}], BezierCurve[{{2, 0}, {0.5, 0}, {1, 0}, {0, 0}, { 1.4142135623730951`, 1.4142135623730951`}, { 0.7071067811865475, 0.7071067811865475}, {1.5, 0}, { 1.0606601717798212`, 1.0606601717798212`}, { 0.35355339059327373`, 0.35355339059327373`}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, {Rational[1, 2], 0}, {1, 0}, {0, 0}, { 2^Rational[1, 2], 2^Rational[1, 2]}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[3, 2], 0}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, {0, 0}}], BezierCurve[{{2, 0}, {0.5, 0}, {1, 0}, {0, 0}, { 1.4142135623730951`, 1.4142135623730951`}, { 0.7071067811865475, 0.7071067811865475}, {1.5, 0}, { 1.0606601717798212`, 1.0606601717798212`}, { 0.35355339059327373`, 0.35355339059327373`}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, { Rational[1, 4] 2^Rational[-1, 2], Rational[1, 4] 2^Rational[-1, 2]}, {0, 0}, {Rational[1, 2], 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, {0, 0}, { Rational[3, 4], 0}, {1, 0}, {Rational[1, 4], 0}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}}], BezierCurve[{{0.5303300858899106, 0.5303300858899106}, { 0.17677669529663687`, 0.17677669529663687`}, {0, 0}, { 0.5, 0}, {0.7071067811865475, 0.7071067811865475}, {0, 0}, { 0.75, 0}, {1, 0}, {0.25, 0}, {0.35355339059327373`, 0.35355339059327373`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, { Rational[1, 4] 2^Rational[-1, 2], Rational[1, 4] 2^Rational[-1, 2]}, {0, 0}, {Rational[1, 2], 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, {0, 0}, { Rational[3, 4], 0}, {1, 0}, {Rational[1, 4], 0}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}}], BezierCurve[{{0.5303300858899106, 0.5303300858899106}, { 0.17677669529663687`, 0.17677669529663687`}, {0, 0}, { 0.5, 0}, {0.7071067811865475, 0.7071067811865475}, {0, 0}, { 0.75, 0}, {1, 0}, {0.25, 0}, {0.35355339059327373`, 0.35355339059327373`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, { 0, -1}}, {{0, 1}, {-1, 0}}}]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, {3, 0}, { Rational[3, 2], 0}, {0, 0}}], BezierCurve[{{0, 0}, {0.75, 1.299038105676658}, {1.5, 2.598076211353316}, {3, 0}, {1.5, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, {3, 0}, { Rational[3, 2], 0}, {0, 0}}], BezierCurve[{{0, 0}, {0.75, 1.299038105676658}, {1.5, 2.598076211353316}, {3, 0}, {1.5, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.264425, 0.423024, 0.3849], {EdgeForm[{RGBColor[0.264425, 0.423024, 0.3849], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{1, 3^Rational[1, 2]}, {0, 0}, {0, 0}, {2, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {1, 0}}], BezierCurve[{{1, 1.7320508075688772`}, {0, 0}, {0, 0}, {2, 0}, {0.5, 0.8660254037844386}, {1, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{1, 3^Rational[1, 2]}, {0, 0}, {0, 0}, {2, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {1, 0}}], BezierCurve[{{1, 1.7320508075688772`}, {0, 0}, {0, 0}, {2, 0}, {0.5, 0.8660254037844386}, {1, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {EdgeForm[{RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, {1, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}, { Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, {0, 0}}], BezierCurve[{{0.5, 0}, {1, 0}, {0.5, 0.8660254037844386}, {0, 0}, {0.25, 0.4330127018922193}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, {1, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}, { Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, {0, 0}}], BezierCurve[{{0.5, 0}, {1, 0}, {0.5, 0.8660254037844386}, {0, 0}, {0.25, 0.4330127018922193}, {0, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {0, 0}, {6, 0}, { 6 Cos[Rational[1, 7] Pi], 6 Sin[Rational[1, 7] Pi]}, {3, 0}}], BezierCurve[{{0, 0}, {2.7029066037072575`, 1.3016512173526744`}, {0, 0}, {6, 0}, {5.405813207414515, 2.603302434705349}, {3, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {0, 0}, {6, 0}, { 6 Cos[Rational[1, 7] Pi], 6 Sin[Rational[1, 7] Pi]}, {3, 0}}], BezierCurve[{{0, 0}, {2.7029066037072575`, 1.3016512173526744`}, {0, 0}, {6, 0}, {5.405813207414515, 2.603302434705349}, {3, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {EdgeForm[{RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[5, 2] Cos[Rational[1, 7] Pi], Rational[5, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {Rational[5, 2], 0}, {5, 0}, {5 Cos[Rational[1, 7] Pi], 5 Sin[Rational[1, 7] Pi]}}], BezierCurve[{{0, 0}, {2.252422169756048, 1.0847093477938954`}, {0, 0}, {2.5, 0}, {5, 0}, { 4.504844339512096, 2.1694186955877908`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[5, 2] Cos[Rational[1, 7] Pi], Rational[5, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {Rational[5, 2], 0}, {5, 0}, {5 Cos[Rational[1, 7] Pi], 5 Sin[Rational[1, 7] Pi]}}], BezierCurve[{{0, 0}, {2.252422169756048, 1.0847093477938954`}, {0, 0}, {2.5, 0}, {5, 0}, { 4.504844339512096, 2.1694186955877908`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {4, 0}, {0, 0}, { 4 Cos[Rational[1, 7] Pi], 4 Sin[Rational[1, 7] Pi]}, {2, 0}, {2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}}], BezierCurve[{{0, 0}, {4, 0}, {0, 0}, {3.6038754716096766`, 1.7355349564702325`}, {2, 0}, {1.8019377358048383`, 0.8677674782351162}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {4, 0}, {0, 0}, { 4 Cos[Rational[1, 7] Pi], 4 Sin[Rational[1, 7] Pi]}, {2, 0}, {2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}}], BezierCurve[{{0, 0}, {4, 0}, {0, 0}, {3.6038754716096766`, 1.7355349564702325`}, {2, 0}, {1.8019377358048383`, 0.8677674782351162}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[3, 2], 0}, {0, 0}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, { Rational[3, 2] Cos[Rational[1, 7] Pi], Rational[3, 2] Sin[Rational[1, 7] Pi]}, {3, 0}}], BezierCurve[{{0, 0}, {1.5, 0}, {0, 0}, {2.7029066037072575`, 1.3016512173526744`}, {1.3514533018536288`, 0.6508256086763372}, {3, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[3, 2], 0}, {0, 0}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, { Rational[3, 2] Cos[Rational[1, 7] Pi], Rational[3, 2] Sin[Rational[1, 7] Pi]}, {3, 0}}], BezierCurve[{{0, 0}, {1.5, 0}, {0, 0}, {2.7029066037072575`, 1.3016512173526744`}, {1.3514533018536288`, 0.6508256086763372}, {3, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {2, 0}, {0, 0}, {0, 0}, {1, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}}], BezierCurve[{{1.8019377358048383`, 0.8677674782351162}, {2, 0}, {0, 0}, {0, 0}, {1, 0}, {0.9009688679024191, 0.4338837391175581}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {2, 0}, {0, 0}, {0, 0}, {1, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}}], BezierCurve[{{1.8019377358048383`, 0.8677674782351162}, {2, 0}, {0, 0}, {0, 0}, {1, 0}, {0.9009688679024191, 0.4338837391175581}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] Cos[Rational[1, 7] Pi], Rational[1, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {0, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, { Rational[1, 2], 0}, {1, 0}}], BezierCurve[{{0.4504844339512096, 0.21694186955877906`}, {0, 0}, {0, 0}, {0.9009688679024191, 0.4338837391175581}, { 0.5, 0}, {1, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] Cos[Rational[1, 7] Pi], Rational[1, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {0, 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, { Rational[1, 2], 0}, {1, 0}}], BezierCurve[{{0.4504844339512096, 0.21694186955877906`}, {0, 0}, {0, 0}, {0.9009688679024191, 0.4338837391175581}, { 0.5, 0}, {1, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {EdgeForm[{RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[5, 6] (1 + 5^Rational[1, 2]), Rational[ 10, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[5, 4] (1 + 5^Rational[1, 2]), 5 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {5, 0}, { Rational[5, 12] (1 + 5^Rational[1, 2]), Rational[ 5, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[5, 3], 0}, { Rational[10, 3], 0}, {0, 0}, {0, 0}}], BezierCurve[{{2.696723314583158, 1.9592841743082439`}, { 4.045084971874737, 2.938926261462366}, {5, 0}, { 1.348361657291579, 0.9796420871541219}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}, {0, 0}, { 0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[5, 6] (1 + 5^Rational[1, 2]), Rational[ 10, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[5, 4] (1 + 5^Rational[1, 2]), 5 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {5, 0}, { Rational[5, 12] (1 + 5^Rational[1, 2]), Rational[ 5, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[5, 3], 0}, { Rational[10, 3], 0}, {0, 0}, {0, 0}}], BezierCurve[{{2.696723314583158, 1.9592841743082439`}, { 4.045084971874737, 2.938926261462366}, {5, 0}, { 1.348361657291579, 0.9796420871541219}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}, {0, 0}, { 0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {EdgeForm[{RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{Rational[4, 3], 0}, {0, 0}, {Rational[8, 3], 0}, { 1 + 5^Rational[1, 2], 4 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[2, 3] (1 + 5^Rational[1, 2]), Rational[ 8, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, { Rational[1, 3] (1 + 5^Rational[1, 2]), Rational[ 4, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {4, 0}}], BezierCurve[{{1.3333333333333333`, 0}, {0, 0}, { 2.6666666666666665`, 0}, {3.23606797749979, 2.3511410091698925`}, {2.1573786516665265`, 1.567427339446595}, {0, 0}, {1.0786893258332633`, 0.7837136697232975}, {4, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{Rational[4, 3], 0}, {0, 0}, { Rational[8, 3], 0}, { 1 + 5^Rational[1, 2], 4 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[2, 3] (1 + 5^Rational[1, 2]), Rational[ 8, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, { Rational[1, 3] (1 + 5^Rational[1, 2]), Rational[ 4, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {4, 0}}], BezierCurve[{{1.3333333333333333`, 0}, {0, 0}, { 2.6666666666666665`, 0}, {3.23606797749979, 2.3511410091698925`}, {2.1573786516665265`, 1.567427339446595}, {0, 0}, {1.0786893258332633`, 0.7837136697232975}, {4, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {1, 0}, {3, 0}, {0, 0}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {2, 0}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0.8090169943749475, 0.5877852522924731}, {1, 0}, {3, 0}, {0, 0}, {1.618033988749895, 1.1755705045849463`}, {0, 0}, {2, 0}, {2.4270509831248424`, 1.7633557568774194`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {1, 0}, {3, 0}, {0, 0}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {2, 0}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0.8090169943749475, 0.5877852522924731}, {1, 0}, {3, 0}, {0, 0}, {1.618033988749895, 1.1755705045849463`}, {0, 0}, {2, 0}, {2.4270509831248424`, 1.7633557568774194`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {2, 0}, { Rational[1, 3] (1 + 5^Rational[1, 2]), Rational[ 4, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {0, 0}, {Rational[4, 3], 0}, { Rational[1, 6] (1 + 5^Rational[1, 2]), Rational[ 2, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[2, 3], 0}}], BezierCurve[{{1.618033988749895, 1.1755705045849463`}, {2, 0}, {1.0786893258332633`, 0.7837136697232975}, {0, 0}, {0, 0}, {1.3333333333333333`, 0}, {0.5393446629166316, 0.39185683486164874`}, {0.6666666666666666, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {2, 0}, { Rational[1, 3] (1 + 5^Rational[1, 2]), Rational[ 4, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {0, 0}, {Rational[4, 3], 0}, { Rational[1, 6] (1 + 5^Rational[1, 2]), Rational[ 2, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[2, 3], 0}}], BezierCurve[{{1.618033988749895, 1.1755705045849463`}, {2, 0}, {1.0786893258332633`, 0.7837136697232975}, {0, 0}, {0, 0}, {1.3333333333333333`, 0}, {0.5393446629166316, 0.39185683486164874`}, {0.6666666666666666, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 6] (1 + 5^Rational[1, 2]), Rational[ 2, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[2, 3], 0}, {1, 0}, {0, 0}, {0, 0}, {Rational[1, 3], 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 12] (1 + 5^Rational[1, 2]), Rational[ 1, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0.5393446629166316, 0.39185683486164874`}, { 0.6666666666666666, 0}, {1, 0}, {0, 0}, {0, 0}, { 0.3333333333333333, 0}, {0.8090169943749475, 0.5877852522924731}, {0.2696723314583158, 0.19592841743082437`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 6] (1 + 5^Rational[1, 2]), Rational[ 2, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[2, 3], 0}, {1, 0}, {0, 0}, {0, 0}, {Rational[1, 3], 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 12] (1 + 5^Rational[1, 2]), Rational[ 1, 3] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0.5393446629166316, 0.39185683486164874`}, { 0.6666666666666666, 0}, {1, 0}, {0, 0}, {0, 0}, { 0.3333333333333333, 0}, {0.8090169943749475, 0.5877852522924731}, {0.2696723314583158, 0.19592841743082437`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[5, 4] (1 + 5^Rational[1, 2]), 5 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[5, 8] (1 + 5^Rational[1, 2]), Rational[ 5, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {5, 0}, {0, 0}, {Rational[5, 2], 0}, {0, 0}}], BezierCurve[{{4.045084971874737, 2.938926261462366}, { 2.0225424859373686`, 1.469463130731183}, {5, 0}, {0, 0}, { 2.5, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[5, 4] (1 + 5^Rational[1, 2]), 5 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[5, 8] (1 + 5^Rational[1, 2]), Rational[ 5, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {5, 0}, {0, 0}, {Rational[5, 2], 0}, {0, 0}}], BezierCurve[{{4.045084971874737, 2.938926261462366}, { 2.0225424859373686`, 1.469463130731183}, {5, 0}, {0, 0}, { 2.5, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{ 1 + 5^Rational[1, 2], 4 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {4, 0}, {0, 0}, {2, 0}, {0, 0}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{3.23606797749979, 2.3511410091698925`}, {4, 0}, { 0, 0}, {2, 0}, {0, 0}, {1.618033988749895, 1.1755705045849463`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{ 1 + 5^Rational[1, 2], 4 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {4, 0}, {0, 0}, {2, 0}, {0, 0}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{3.23606797749979, 2.3511410091698925`}, {4, 0}, {0, 0}, {2, 0}, {0, 0}, {1.618033988749895, 1.1755705045849463`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {EdgeForm[{RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {3, 0}, {Rational[3, 2], 0}}], BezierCurve[{{1.2135254915624212`, 0.8816778784387097}, {0, 0}, {2.4270509831248424`, 1.7633557568774194`}, {0, 0}, {3, 0}, {1.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {3, 0}, {Rational[3, 2], 0}}], BezierCurve[{{1.2135254915624212`, 0.8816778784387097}, {0, 0}, {2.4270509831248424`, 1.7633557568774194`}, {0, 0}, {3, 0}, {1.5, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.624866, 0.673302, 0.264296], {EdgeForm[{RGBColor[0.624866, 0.673302, 0.264296], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {2, 0}, {Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {1, 0}, {0, 0}}], BezierCurve[{{0, 0}, {0.8090169943749475, 0.5877852522924731}, {2, 0}, {1.618033988749895, 1.1755705045849463`}, {1, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, {2, 0}, {Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {1, 0}, {0, 0}}], BezierCurve[{{0, 0}, {0.8090169943749475, 0.5877852522924731}, {2, 0}, {1.618033988749895, 1.1755705045849463`}, {1, 0}, {0, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {0, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2], 0}, {1, 0}}], BezierCurve[{{0.4045084971874737, 0.29389262614623657`}, {0, 0}, {0, 0}, {0.8090169943749475, 0.5877852522924731}, { 0.5, 0}, {1, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {0, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[1, 2], 0}, {1, 0}}], BezierCurve[{{0.4045084971874737, 0.29389262614623657`}, {0, 0}, {0, 0}, {0.8090169943749475, 0.5877852522924731}, { 0.5, 0}, {1, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}}, ImageSize->150], ""}, { GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, {0, 0}, {Rational[5, 4], 0}, {Rational[5, 2], 0}, {0, 0}, { Rational[5, 8] 3^Rational[1, 2], Rational[5, 8]}, { Rational[15, 8] 3^Rational[1, 2], Rational[15, 8]}, { Rational[15, 4], 0}}], BezierCurve[{{2.1650635094610964`, 1.25}, {4.330127018922193, 2.5}, {5, 0}, {0, 0}, {1.25, 0}, {2.5, 0}, {0, 0}, { 1.0825317547305482`, 0.625}, {3.2475952641916446`, 1.875}, { 3.75, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, { 0, 0}, {Rational[5, 4], 0}, {Rational[5, 2], 0}, {0, 0}, { Rational[5, 8] 3^Rational[1, 2], Rational[5, 8]}, { Rational[15, 8] 3^Rational[1, 2], Rational[15, 8]}, { Rational[15, 4], 0}}], BezierCurve[{{2.1650635094610964`, 1.25}, {4.330127018922193, 2.5}, {5, 0}, {0, 0}, {1.25, 0}, {2.5, 0}, {0, 0}, { 1.0825317547305482`, 0.625}, {3.2475952641916446`, 1.875}, { 3.75, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {2, 0}, {0, 0}, {1, 0}, {2 3^Rational[1, 2], 2}, {3, 0}, { 3^Rational[1, 2], 1}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {4, 0}, {0, 0}}], BezierCurve[{{2.598076211353316, 1.5}, {2, 0}, {0, 0}, {1, 0}, {3.4641016151377544`, 2}, {3, 0}, { 1.7320508075688772`, 1}, {0.8660254037844386, 0.5}, {4, 0}, { 0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {2, 0}, { 0, 0}, {1, 0}, {2 3^Rational[1, 2], 2}, {3, 0}, { 3^Rational[1, 2], 1}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, {4, 0}, { 0, 0}}], BezierCurve[{{2.598076211353316, 1.5}, {2, 0}, {0, 0}, {1, 0}, {3.4641016151377544`, 2}, {3, 0}, { 1.7320508075688772`, 1}, {0.8660254037844386, 0.5}, {4, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {3, 0}, {0, 0}, {0, 0}, { Rational[9, 8] 3^Rational[1, 2], Rational[9, 8]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { Rational[3, 4], 0}, {Rational[9, 4], 0}, { Rational[3, 2], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}}], BezierCurve[{{1.299038105676658, 0.75}, {3, 0}, {0, 0}, {0, 0}, {1.9485571585149868`, 1.125}, {2.598076211353316, 1.5}, { 0.75, 0}, {2.25, 0}, {1.5, 0}, {0.649519052838329, 0.375}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {3, 0}, { 0, 0}, {0, 0}, { Rational[9, 8] 3^Rational[1, 2], Rational[9, 8]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { Rational[3, 4], 0}, {Rational[9, 4], 0}, { Rational[3, 2], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}}], BezierCurve[{{1.299038105676658, 0.75}, {3, 0}, {0, 0}, {0, 0}, {1.9485571585149868`, 1.125}, {2.598076211353316, 1.5}, {0.75, 0}, {2.25, 0}, {1.5, 0}, {0.649519052838329, 0.375}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {Rational[3, 2], 0}, {2, 0}, { 3^Rational[1, 2], 1}, {0, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[1, 2], 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {0, 0}}], BezierCurve[{{1, 0}, {1.5, 0}, {2, 0}, { 1.7320508075688772`, 1}, {0, 0}, {0.8660254037844386, 0.5}, { 0.5, 0}, {0.4330127018922193, 0.25}, {1.299038105676658, 0.75}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {Rational[3, 2], 0}, {2, 0}, { 3^Rational[1, 2], 1}, {0, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[1, 2], 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {0, 0}}], BezierCurve[{{1, 0}, {1.5, 0}, {2, 0}, { 1.7320508075688772`, 1}, {0, 0}, {0.8660254037844386, 0.5}, {0.5, 0}, {0.4330127018922193, 0.25}, { 1.299038105676658, 0.75}, {0, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[1, 8] 3^Rational[1, 2], Rational[1, 8]}, {0, 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, { Rational[1, 4], 0}, {1, 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, { Rational[3, 4], 0}, {Rational[1, 2], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}], BezierCurve[{{0, 0}, {0.21650635094610965`, 0.125}, {0, 0}, { 0.4330127018922193, 0.25}, {0.25, 0}, {1, 0}, { 0.649519052838329, 0.375}, {0.75, 0}, {0.5, 0}, { 0.8660254037844386, 0.5}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[1, 8] 3^Rational[1, 2], Rational[1, 8]}, {0, 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, { Rational[1, 4], 0}, {1, 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, { Rational[3, 4], 0}, {Rational[1, 2], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}], BezierCurve[{{0, 0}, {0.21650635094610965`, 0.125}, {0, 0}, { 0.4330127018922193, 0.25}, {0.25, 0}, {1, 0}, { 0.649519052838329, 0.375}, {0.75, 0}, {0.5, 0}, { 0.8660254037844386, 0.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {EdgeForm[{RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 4], 0}, {Rational[3, 2], 0}, { Rational[9, 4] 2^Rational[-1, 2], Rational[9, 4] 2^Rational[-1, 2]}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, {0, 0}, {Rational[9, 4], 0}, {3, 0}, { 3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, { Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, {0, 0}}], BezierCurve[{{0.75, 0}, {1.5, 0}, {1.590990257669732, 1.590990257669732}, {1.0606601717798212`, 1.0606601717798212`}, {0, 0}, {2.25, 0}, {3, 0}, { 2.1213203435596424`, 2.1213203435596424`}, { 0.5303300858899106, 0.5303300858899106}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 4], 0}, {Rational[3, 2], 0}, { Rational[9, 4] 2^Rational[-1, 2], Rational[9, 4] 2^Rational[-1, 2]}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, {0, 0}, {Rational[9, 4], 0}, {3, 0}, { 3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, { Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, {0, 0}}], BezierCurve[{{0.75, 0}, {1.5, 0}, {1.590990257669732, 1.590990257669732}, {1.0606601717798212`, 1.0606601717798212`}, {0, 0}, {2.25, 0}, {3, 0}, { 2.1213203435596424`, 2.1213203435596424`}, { 0.5303300858899106, 0.5303300858899106}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, {2, 0}, {Rational[3, 2], 0}, {0, 0}, { Rational[1, 2], 0}, {2^Rational[1, 2], 2^Rational[1, 2]}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, {0, 0}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, {1, 0}}], BezierCurve[{{1.0606601717798212`, 1.0606601717798212`}, {2, 0}, {1.5, 0}, {0, 0}, {0.5, 0}, {1.4142135623730951`, 1.4142135623730951`}, {0.7071067811865475, 0.7071067811865475}, {0, 0}, {0.35355339059327373`, 0.35355339059327373`}, {1, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, {2, 0}, {Rational[3, 2], 0}, {0, 0}, { Rational[1, 2], 0}, {2^Rational[1, 2], 2^Rational[1, 2]}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, {0, 0}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, {1, 0}}], BezierCurve[{{1.0606601717798212`, 1.0606601717798212`}, {2, 0}, {1.5, 0}, {0, 0}, {0.5, 0}, {1.4142135623730951`, 1.4142135623730951`}, {0.7071067811865475, 0.7071067811865475}, {0, 0}, {0.35355339059327373`, 0.35355339059327373`}, {1, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, { 0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, {0, 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, { Rational[1, 4] 2^Rational[-1, 2], Rational[1, 4] 2^Rational[-1, 2]}, {Rational[3, 4], 0}, {0, 0}, {1, 0}, { Rational[1, 2], 0}, {Rational[1, 4], 0}}], BezierCurve[{{0.5303300858899106, 0.5303300858899106}, {0, 0}, {0.7071067811865475, 0.7071067811865475}, { 0.35355339059327373`, 0.35355339059327373`}, { 0.17677669529663687`, 0.17677669529663687`}, {0.75, 0}, {0, 0}, {1, 0}, {0.5, 0}, {0.25, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, {0, 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, { Rational[1, 4] 2^Rational[-1, 2], Rational[1, 4] 2^Rational[-1, 2]}, {Rational[3, 4], 0}, {0, 0}, {1, 0}, { Rational[1, 2], 0}, {Rational[1, 4], 0}}], BezierCurve[{{0.5303300858899106, 0.5303300858899106}, {0, 0}, {0.7071067811865475, 0.7071067811865475}, { 0.35355339059327373`, 0.35355339059327373`}, { 0.17677669529663687`, 0.17677669529663687`}, {0.75, 0}, {0, 0}, {1, 0}, {0.5, 0}, {0.25, 0}}]]]}}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, { 0, -1}}, {{0, 1}, {-1, 0}}}]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{2, 2 3^Rational[1, 2]}, {4, 0}, { Rational[8, 3], 0}, {Rational[2, 3], 2 3^Rational[-1, 2]}, { Rational[4, 3], 0}, {0, 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}, {0, 0}}], BezierCurve[{{2, 3.4641016151377544`}, {4, 0}, { 2.6666666666666665`, 0}, {0.6666666666666666, 1.1547005383792517`}, {1.3333333333333333`, 0}, {0, 0}, { 1.3333333333333333`, 2.3094010767585034`}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{2, 2 3^Rational[1, 2]}, {4, 0}, { Rational[8, 3], 0}, {Rational[2, 3], 2 3^Rational[-1, 2]}, { Rational[4, 3], 0}, {0, 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}, {0, 0}}], BezierCurve[{{2, 3.4641016151377544`}, {4, 0}, { 2.6666666666666665`, 0}, {0.6666666666666666, 1.1547005383792517`}, {1.3333333333333333`, 0}, {0, 0}, { 1.3333333333333333`, 2.3094010767585034`}, {0, 0}}]]]}}, {{{ 1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, {0, 0}, { 1, 3^Rational[1, 2]}, {0, 0}, {1, 0}, {3, 0}}], BezierCurve[{{2, 0}, {0.5, 0.8660254037844386}, {1.5, 2.598076211353316}, {0, 0}, {1, 1.7320508075688772`}, {0, 0}, {1, 0}, {3, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{2, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, {0, 0}, { 1, 3^Rational[1, 2]}, {0, 0}, {1, 0}, {3, 0}}], BezierCurve[{{2, 0}, {0.5, 0.8660254037844386}, {1.5, 2.598076211353316}, {0, 0}, {1, 1.7320508075688772`}, {0, 0}, {1, 0}, {3, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{Rational[2, 3], 2 3^Rational[-1, 2]}, {2, 0}, { Rational[1, 3], 3^Rational[-1, 2]}, {Rational[2, 3], 0}, { 1, 3^Rational[1, 2]}, {0, 0}, {Rational[4, 3], 0}, {0, 0}}], BezierCurve[{{0.6666666666666666, 1.1547005383792517`}, {2, 0}, {0.3333333333333333, 0.5773502691896258}, { 0.6666666666666666, 0}, {1, 1.7320508075688772`}, {0, 0}, { 1.3333333333333333`, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{Rational[2, 3], 2 3^Rational[-1, 2]}, {2, 0}, { Rational[1, 3], 3^Rational[-1, 2]}, {Rational[2, 3], 0}, { 1, 3^Rational[1, 2]}, {0, 0}, {Rational[4, 3], 0}, {0, 0}}], BezierCurve[{{0.6666666666666666, 1.1547005383792517`}, {2, 0}, {0.3333333333333333, 0.5773502691896258}, { 0.6666666666666666, 0}, {1, 1.7320508075688772`}, {0, 0}, { 1.3333333333333333`, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{Rational[2, 3], 0}, {0, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[1, 3], 0}, {1, 0}, { Rational[1, 3], 3^Rational[-1, 2]}, {0, 0}, { Rational[1, 6], Rational[1, 2] 3^Rational[-1, 2]}}], BezierCurve[{{0.6666666666666666, 0}, {0, 0}, {0.5, 0.8660254037844386}, {0.3333333333333333, 0}, {1, 0}, { 0.3333333333333333, 0.5773502691896258}, {0, 0}, { 0.16666666666666666`, 0.2886751345948129}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{Rational[2, 3], 0}, {0, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[1, 3], 0}, {1, 0}, { Rational[1, 3], 3^Rational[-1, 2]}, {0, 0}, { Rational[1, 6], Rational[1, 2] 3^Rational[-1, 2]}}], BezierCurve[{{0.6666666666666666, 0}, {0, 0}, {0.5, 0.8660254037844386}, {0.3333333333333333, 0}, {1, 0}, { 0.3333333333333333, 0.5773502691896258}, {0, 0}, { 0.16666666666666666`, 0.2886751345948129}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[5, 4], 0}, { Rational[5, 8] 3^Rational[1, 2], Rational[5, 8]}, { Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { Rational[15, 4], 0}, { Rational[15, 8] 3^Rational[1, 2], Rational[15, 8]}, { Rational[5, 2], 0}, {5, 0}}], BezierCurve[{{1.25, 0}, {1.0825317547305482`, 0.625}, { 2.1650635094610964`, 1.25}, {0, 0}, {4.330127018922193, 2.5}, {0, 0}, {3.75, 0}, {3.2475952641916446`, 1.875}, { 2.5, 0}, {5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[5, 4], 0}, { Rational[5, 8] 3^Rational[1, 2], Rational[5, 8]}, { Rational[5, 4] 3^Rational[1, 2], Rational[5, 4]}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { Rational[15, 4], 0}, { Rational[15, 8] 3^Rational[1, 2], Rational[15, 8]}, { Rational[5, 2], 0}, {5, 0}}], BezierCurve[{{1.25, 0}, {1.0825317547305482`, 0.625}, { 2.1650635094610964`, 1.25}, {0, 0}, {4.330127018922193, 2.5}, {0, 0}, {3.75, 0}, {3.2475952641916446`, 1.875}, { 2.5, 0}, {5, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {3, 0}, {2, 0}, {0, 0}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {4, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}], BezierCurve[{{1, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {3, 0}, {2, 0}, {0, 0}, { 2.598076211353316, 1.5}, {4, 0}, {0.8660254037844386, 0.5}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, {2 3^Rational[1, 2], 2}, {0, 0}, { 3^Rational[1, 2], 1}, {3, 0}, {2, 0}, {0, 0}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {4, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}], BezierCurve[{{1, 0}, {3.4641016151377544`, 2}, {0, 0}, { 1.7320508075688772`, 1}, {3, 0}, {2, 0}, {0, 0}, { 2.598076211353316, 1.5}, {4, 0}, {0.8660254037844386, 0.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {EdgeForm[{RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[9, 8] 3^Rational[1, 2], Rational[9, 8]}, { Rational[3, 2], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {0, 0}, { Rational[3, 4], 0}, {0, 0}, {Rational[9, 4], 0}, {3, 0}}], BezierCurve[{{1.9485571585149868`, 1.125}, {1.5, 0}, { 0.649519052838329, 0.375}, {2.598076211353316, 1.5}, { 1.299038105676658, 0.75}, {0, 0}, {0.75, 0}, {0, 0}, { 2.25, 0}, {3, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[9, 8] 3^Rational[1, 2], Rational[9, 8]}, { Rational[3, 2], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {0, 0}, { Rational[3, 4], 0}, {0, 0}, {Rational[9, 4], 0}, {3, 0}}], BezierCurve[{{1.9485571585149868`, 1.125}, {1.5, 0}, { 0.649519052838329, 0.375}, {2.598076211353316, 1.5}, { 1.299038105676658, 0.75}, {0, 0}, {0.75, 0}, {0, 0}, { 2.25, 0}, {3, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, { Rational[1, 2], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2], 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, {2, 0}, { 3^Rational[1, 2], 1}, {1, 0}, {0, 0}}], BezierCurve[{{0, 0}, {1.299038105676658, 0.75}, {0.5, 0}, { 0.8660254037844386, 0.5}, {1.5, 0}, {0.4330127018922193, 0.25}, {2, 0}, {1.7320508075688772`, 1}, {1, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, { Rational[1, 2], 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[3, 2], 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, {2, 0}, { 3^Rational[1, 2], 1}, {1, 0}, {0, 0}}], BezierCurve[{{0, 0}, {1.299038105676658, 0.75}, {0.5, 0}, { 0.8660254037844386, 0.5}, {1.5, 0}, {0.4330127018922193, 0.25}, {2, 0}, {1.7320508075688772`, 1}, {1, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {EdgeForm[{RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 4], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, {0, 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, { Rational[1, 8] 3^Rational[1, 2], Rational[1, 8]}, { Rational[1, 2], 0}, {1, 0}, {0, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[1, 4], 0}}], BezierCurve[{{0.75, 0}, {0.649519052838329, 0.375}, {0, 0}, { 0.4330127018922193, 0.25}, {0.21650635094610965`, 0.125}, { 0.5, 0}, {1, 0}, {0, 0}, {0.8660254037844386, 0.5}, { 0.25, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 4], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, {0, 0}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, { Rational[1, 8] 3^Rational[1, 2], Rational[1, 8]}, { Rational[1, 2], 0}, {1, 0}, {0, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[1, 4], 0}}], BezierCurve[{{0.75, 0}, {0.649519052838329, 0.375}, {0, 0}, { 0.4330127018922193, 0.25}, {0.21650635094610965`, 0.125}, { 0.5, 0}, {1, 0}, {0, 0}, {0.8660254037844386, 0.5}, { 0.25, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[9, 8] 3^Rational[1, 2], Rational[9, 8]}, { Rational[3, 2], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, { Rational[9, 4], 0}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {3, 0}, {0, 0}, {Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, {0, 0}, {Rational[3, 4], 0}}], BezierCurve[{{1.9485571585149868`, 1.125}, {1.5, 0}, { 0.649519052838329, 0.375}, {2.25, 0}, {2.598076211353316, 1.5}, {3, 0}, {0, 0}, {1.299038105676658, 0.75}, {0, 0}, { 0.75, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[9, 8] 3^Rational[1, 2], Rational[9, 8]}, { Rational[3, 2], 0}, { Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, { Rational[9, 4], 0}, { Rational[3, 2] 3^Rational[1, 2], Rational[3, 2]}, {3, 0}, { 0, 0}, {Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, { 0, 0}, {Rational[3, 4], 0}}], BezierCurve[{{1.9485571585149868`, 1.125}, {1.5, 0}, { 0.649519052838329, 0.375}, {2.25, 0}, {2.598076211353316, 1.5}, {3, 0}, {0, 0}, {1.299038105676658, 0.75}, {0, 0}, { 0.75, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, {2, 0}, {0, 0}, { Rational[3, 2], 0}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, {1, 0}, {0, 0}, {3^Rational[1, 2], 1}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}], BezierCurve[{{0.5, 0}, {2, 0}, {0, 0}, {1.5, 0}, { 1.299038105676658, 0.75}, {0.4330127018922193, 0.25}, {1, 0}, {0, 0}, {1.7320508075688772`, 1}, {0.8660254037844386, 0.5}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, {2, 0}, {0, 0}, { Rational[3, 2], 0}, { Rational[3, 4] 3^Rational[1, 2], Rational[3, 4]}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, {1, 0}, { 0, 0}, {3^Rational[1, 2], 1}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}], BezierCurve[{{0.5, 0}, {2, 0}, {0, 0}, {1.5, 0}, { 1.299038105676658, 0.75}, {0.4330127018922193, 0.25}, {1, 0}, {0, 0}, {1.7320508075688772`, 1}, {0.8660254037844386, 0.5}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}, {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, {1, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, {0, 0}, { Rational[1, 8] 3^Rational[1, 2], Rational[1, 8]}, { Rational[3, 4], 0}, {Rational[1, 4], 0}, {0, 0}, { Rational[1, 2], 0}}], BezierCurve[{{0.649519052838329, 0.375}, {1, 0}, { 0.8660254037844386, 0.5}, {0.4330127018922193, 0.25}, {0, 0}, {0.21650635094610965`, 0.125}, {0.75, 0}, {0.25, 0}, {0, 0}, {0.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 8] 3^Rational[1, 2], Rational[3, 8]}, {1, 0}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}, { Rational[1, 4] 3^Rational[1, 2], Rational[1, 4]}, {0, 0}, { Rational[1, 8] 3^Rational[1, 2], Rational[1, 8]}, { Rational[3, 4], 0}, {Rational[1, 4], 0}, {0, 0}, { Rational[1, 2], 0}}], BezierCurve[{{0.649519052838329, 0.375}, {1, 0}, { 0.8660254037844386, 0.5}, {0.4330127018922193, 0.25}, {0, 0}, {0.21650635094610965`, 0.125}, {0.75, 0}, {0.25, 0}, {0, 0}, {0.5, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, { 0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]}}}, ImageSize->150], ""}, { GraphicsBox[{ {RGBColor[0.624866, 0.673302, 0.264296], {EdgeForm[{RGBColor[0.624866, 0.673302, 0.264296], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[9, 8], Rational[9, 8] 3^Rational[1, 2]}, { Rational[3, 8], Rational[3, 8] 3^Rational[1, 2]}, { Rational[9, 4], 0}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { Rational[3, 2], 0}, {Rational[3, 4], 0}, {0, 0}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, {3, 0}}], BezierCurve[{{0, 0}, {1.125, 1.9485571585149868`}, {0.375, 0.649519052838329}, {2.25, 0}, {0.75, 1.299038105676658}, { 1.5, 0}, {0.75, 0}, {0, 0}, {1.5, 2.598076211353316}, {3, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[9, 8], Rational[9, 8] 3^Rational[1, 2]}, { Rational[3, 8], Rational[3, 8] 3^Rational[1, 2]}, { Rational[9, 4], 0}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { Rational[3, 2], 0}, {Rational[3, 4], 0}, {0, 0}, { Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, {3, 0}}], BezierCurve[{{0, 0}, {1.125, 1.9485571585149868`}, {0.375, 0.649519052838329}, {2.25, 0}, {0.75, 1.299038105676658}, { 1.5, 0}, {0.75, 0}, {0, 0}, {1.5, 2.598076211353316}, {3, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{1, 3^Rational[1, 2]}, { Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { Rational[1, 2], 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}, {0, 0}, {2, 0}, {1, 0}, {Rational[3, 2], 0}}], BezierCurve[{{1, 1.7320508075688772`}, {0.25, 0.4330127018922193}, {0.75, 1.299038105676658}, {0.5, 0}, { 0.5, 0.8660254037844386}, {0, 0}, {0, 0}, {2, 0}, {1, 0}, { 1.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{1, 3^Rational[1, 2]}, { Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, { Rational[3, 4], Rational[3, 4] 3^Rational[1, 2]}, { Rational[1, 2], 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}, { 0, 0}, {2, 0}, {1, 0}, {Rational[3, 2], 0}}], BezierCurve[{{1, 1.7320508075688772`}, {0.25, 0.4330127018922193}, {0.75, 1.299038105676658}, {0.5, 0}, { 0.5, 0.8660254037844386}, {0, 0}, {0, 0}, {2, 0}, {1, 0}, { 1.5, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.237736, 0.340215, 0.575113], {EdgeForm[{RGBColor[0.237736, 0.340215, 0.575113], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, { Rational[3, 8], Rational[3, 8] 3^Rational[1, 2]}, { Rational[1, 2], 0}, { Rational[1, 8], Rational[1, 8] 3^Rational[1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[3, 4], 0}, {Rational[1, 4], 0}, {0, 0}, {1, 0}, {0, 0}}], BezierCurve[{{0.25, 0.4330127018922193}, {0.375, 0.649519052838329}, {0.5, 0}, {0.125, 0.21650635094610965`}, {0.5, 0.8660254037844386}, { 0.75, 0}, {0.25, 0}, {0, 0}, {1, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.237736, 0.340215, 0.575113], {FaceForm[RGBColor[0.237736, 0.340215, 0.575113]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 4], Rational[1, 4] 3^Rational[1, 2]}, { Rational[3, 8], Rational[3, 8] 3^Rational[1, 2]}, { Rational[1, 2], 0}, { Rational[1, 8], Rational[1, 8] 3^Rational[1, 2]}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[3, 4], 0}, {Rational[1, 4], 0}, {0, 0}, {1, 0}, {0, 0}}], BezierCurve[{{0.25, 0.4330127018922193}, {0.375, 0.649519052838329}, {0.5, 0}, {0.125, 0.21650635094610965`}, {0.5, 0.8660254037844386}, { 0.75, 0}, {0.25, 0}, {0, 0}, {1, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, {0, 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {0, 0}, { Rational[5, 3], 0}, {5, 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}}], BezierCurve[{{3.3333333333333335`, 0}, {2.5, 4.330127018922193}, {0, 0}, {1.6666666666666667`, 2.886751345948129}, {0, 0}, {1.6666666666666667`, 0}, {5, 0}, {0.8333333333333334, 1.4433756729740645`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{Rational[10, 3], 0}, { Rational[5, 2], Rational[5, 2] 3^Rational[1, 2]}, {0, 0}, { Rational[5, 3], 5 3^Rational[-1, 2]}, {0, 0}, { Rational[5, 3], 0}, {5, 0}, { Rational[5, 6], Rational[5, 2] 3^Rational[-1, 2]}}], BezierCurve[{{3.3333333333333335`, 0}, {2.5, 4.330127018922193}, {0, 0}, {1.6666666666666667`, 2.886751345948129}, {0, 0}, {1.6666666666666667`, 0}, {5, 0}, {0.8333333333333334, 1.4433756729740645`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, {Rational[4, 3], 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}, {0, 0}, {4, 0}, { 2, 2 3^Rational[1, 2]}, {0, 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}}], BezierCurve[{{2.6666666666666665`, 0}, { 1.3333333333333333`, 0}, {0.6666666666666666, 1.1547005383792517`}, {0, 0}, {4, 0}, { 2, 3.4641016151377544`}, {0, 0}, {1.3333333333333333`, 2.3094010767585034`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{Rational[8, 3], 0}, {Rational[4, 3], 0}, { Rational[2, 3], 2 3^Rational[-1, 2]}, {0, 0}, {4, 0}, { 2, 2 3^Rational[1, 2]}, {0, 0}, { Rational[4, 3], 4 3^Rational[-1, 2]}}], BezierCurve[{{2.6666666666666665`, 0}, { 1.3333333333333333`, 0}, {0.6666666666666666, 1.1547005383792517`}, {0, 0}, {4, 0}, { 2, 3.4641016151377544`}, {0, 0}, {1.3333333333333333`, 2.3094010767585034`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.624866, 0.673302, 0.264296], {EdgeForm[{RGBColor[0.624866, 0.673302, 0.264296], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, { 1, 3^Rational[1, 2]}, {2, 0}, {3, 0}, {1, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}, {0, 0}}], BezierCurve[{{1.5, 2.598076211353316}, { 1, 1.7320508075688772`}, {2, 0}, {3, 0}, {1, 0}, {0.5, 0.8660254037844386}, {0, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[3, 2], Rational[3, 2] 3^Rational[1, 2]}, { 1, 3^Rational[1, 2]}, {2, 0}, {3, 0}, {1, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, {0, 0}, { 0, 0}}], BezierCurve[{{1.5, 2.598076211353316}, { 1, 1.7320508075688772`}, {2, 0}, {3, 0}, {1, 0}, {0.5, 0.8660254037844386}, {0, 0}, {0, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{Rational[4, 3], 0}, {0, 0}, { 1, 3^Rational[1, 2]}, { Rational[2, 3], 2 3^Rational[-1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}, {2, 0}, { Rational[2, 3], 0}, {0, 0}}], BezierCurve[{{1.3333333333333333`, 0}, {0, 0}, { 1, 1.7320508075688772`}, {0.6666666666666666, 1.1547005383792517`}, {0.3333333333333333, 0.5773502691896258}, {2, 0}, {0.6666666666666666, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{Rational[4, 3], 0}, {0, 0}, { 1, 3^Rational[1, 2]}, { Rational[2, 3], 2 3^Rational[-1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}, {2, 0}, { Rational[2, 3], 0}, {0, 0}}], BezierCurve[{{1.3333333333333333`, 0}, {0, 0}, { 1, 1.7320508075688772`}, {0.6666666666666666, 1.1547005383792517`}, {0.3333333333333333, 0.5773502691896258}, {2, 0}, {0.6666666666666666, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {1, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[2, 3], 0}, { Rational[1, 6], Rational[1, 2] 3^Rational[-1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}, {0, 0}, { Rational[1, 3], 0}}], BezierCurve[{{0, 0}, {1, 0}, {0.5, 0.8660254037844386}, { 0.6666666666666666, 0}, {0.16666666666666666`, 0.2886751345948129}, {0.3333333333333333, 0.5773502691896258}, {0, 0}, {0.3333333333333333, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {1, 0}, { Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[2, 3], 0}, { Rational[1, 6], Rational[1, 2] 3^Rational[-1, 2]}, { Rational[1, 3], 3^Rational[-1, 2]}, {0, 0}, { Rational[1, 3], 0}}], BezierCurve[{{0, 0}, {1, 0}, {0.5, 0.8660254037844386}, { 0.6666666666666666, 0}, {0.16666666666666666`, 0.2886751345948129}, {0.3333333333333333, 0.5773502691896258}, {0, 0}, { 0.3333333333333333, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}}, {{{1, 0}, { 0, 1}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{6, 0}, { 6 Cos[Rational[1, 7] Pi], 6 Sin[Rational[1, 7] Pi]}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {0, 0}, {3, 0}, {0, 0}}], BezierCurve[{{6, 0}, {5.405813207414515, 2.603302434705349}, { 2.7029066037072575`, 1.3016512173526744`}, {0, 0}, {3, 0}, { 0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{6, 0}, { 6 Cos[Rational[1, 7] Pi], 6 Sin[Rational[1, 7] Pi]}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}, {0, 0}, {3, 0}, {0, 0}}], BezierCurve[{{6, 0}, {5.405813207414515, 2.603302434705349}, { 2.7029066037072575`, 1.3016512173526744`}, {0, 0}, {3, 0}, { 0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {EdgeForm[{RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[5, 2] Cos[Rational[1, 7] Pi], Rational[5, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {0, 0}, {5, 0}, { 5 Cos[Rational[1, 7] Pi], 5 Sin[Rational[1, 7] Pi]}, { Rational[5, 2], 0}}], BezierCurve[{{2.252422169756048, 1.0847093477938954`}, {0, 0}, {0, 0}, {5, 0}, {4.504844339512096, 2.1694186955877908`}, {2.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.29146900000000003`, 0.47717000000000004`, 0.271411], {FaceForm[RGBColor[ 0.29146900000000003`, 0.47717000000000004`, 0.271411]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[5, 2] Cos[Rational[1, 7] Pi], Rational[5, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {0, 0}, {5, 0}, { 5 Cos[Rational[1, 7] Pi], 5 Sin[Rational[1, 7] Pi]}, { Rational[5, 2], 0}}], BezierCurve[{{2.252422169756048, 1.0847093477938954`}, {0, 0}, {0, 0}, {5, 0}, {4.504844339512096, 2.1694186955877908`}, {2.5, 0}}]]]}}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.8130330000000001, 0.766292, 0.303458], {EdgeForm[{RGBColor[0.8130330000000001, 0.766292, 0.303458], Opacity[ 1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {2, 0}, { 4 Cos[Rational[1, 7] Pi], 4 Sin[Rational[1, 7] Pi]}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {4, 0}, {0, 0}}], BezierCurve[{{0, 0}, {2, 0}, {3.6038754716096766`, 1.7355349564702325`}, {1.8019377358048383`, 0.8677674782351162}, {4, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8130330000000001, 0.766292, 0.303458], {FaceForm[RGBColor[0.8130330000000001, 0.766292, 0.303458]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {2, 0}, { 4 Cos[Rational[1, 7] Pi], 4 Sin[Rational[1, 7] Pi]}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {4, 0}, {0, 0}}], BezierCurve[{{0, 0}, {2, 0}, {3.6038754716096766`, 1.7355349564702325`}, {1.8019377358048383`, 0.8677674782351162}, {4, 0}, {0, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.264425, 0.423024, 0.3849], {EdgeForm[{RGBColor[0.264425, 0.423024, 0.3849], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 2], 0}, { Rational[3, 2] Cos[Rational[1, 7] Pi], Rational[3, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {3, 0}, {0, 0}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}}], BezierCurve[{{1.5, 0}, {1.3514533018536288`, 0.6508256086763372}, {0, 0}, {3, 0}, {0, 0}, { 2.7029066037072575`, 1.3016512173526744`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{Rational[3, 2], 0}, { Rational[3, 2] Cos[Rational[1, 7] Pi], Rational[3, 2] Sin[Rational[1, 7] Pi]}, {0, 0}, {3, 0}, {0, 0}, { 3 Cos[Rational[1, 7] Pi], 3 Sin[Rational[1, 7] Pi]}}], BezierCurve[{{1.5, 0}, {1.3514533018536288`, 0.6508256086763372}, {0, 0}, {3, 0}, {0, 0}, { 2.7029066037072575`, 1.3016512173526744`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {1, 0}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {2, 0}, {Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {0, 0}}], BezierCurve[{{0, 0}, {1, 0}, {1.8019377358048383`, 0.8677674782351162}, {2, 0}, {0.9009688679024191, 0.4338837391175581}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {1, 0}, { 2 Cos[Rational[1, 7] Pi], 2 Sin[Rational[1, 7] Pi]}, {2, 0}, {Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {0, 0}}], BezierCurve[{{0, 0}, {1, 0}, {1.8019377358048383`, 0.8677674782351162}, {2, 0}, {0.9009688679024191, 0.4338837391175581}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, { Rational[1, 2] Cos[Rational[1, 7] Pi], Rational[1, 2] Sin[Rational[1, 7] Pi]}, {1, 0}, {0, 0}, {0, 0}}], BezierCurve[{{0.5, 0}, {0.9009688679024191, 0.4338837391175581}, {0.4504844339512096, 0.21694186955877906`}, {1, 0}, {0, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 2], 0}, { Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, { Rational[1, 2] Cos[Rational[1, 7] Pi], Rational[1, 2] Sin[Rational[1, 7] Pi]}, {1, 0}, {0, 0}, {0, 0}}], BezierCurve[{{0.5, 0}, {0.9009688679024191, 0.4338837391175581}, {0.4504844339512096, 0.21694186955877906`}, {1, 0}, {0, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Sin[Rational[3, 14] Pi], -Cos[Rational[3, 14] Pi]}, { Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}, {{- Sin[Rational[1, 14] Pi], -Cos[Rational[1, 14] Pi]}, { Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{- Cos[Rational[1, 7] Pi], -Sin[Rational[1, 7] Pi]}, { Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Cos[Rational[1, 7] Pi], Sin[Rational[1, 7] Pi]}, {- Sin[Rational[1, 7] Pi], -Cos[Rational[1, 7] Pi]}}, {{- Sin[Rational[1, 14] Pi], Cos[Rational[1, 14] Pi]}, {- Cos[Rational[1, 14] Pi], -Sin[Rational[1, 14] Pi]}}, {{ Sin[Rational[3, 14] Pi], Cos[Rational[3, 14] Pi]}, {- Cos[Rational[3, 14] Pi], Sin[Rational[3, 14] Pi]}}}, {{{1, 0}, { 0, 1}}, {{0.6234898018587335, -0.7818314824680298}, { 0.7818314824680298, 0.6234898018587335}}, {{-0.2225209339563144, \ -0.9749279121818236}, { 0.9749279121818236, -0.2225209339563144}}, {{-0.9009688679024191, \ -0.4338837391175581}, { 0.4338837391175581, -0.9009688679024191}}, {{-0.9009688679024191, 0.4338837391175581}, {-0.4338837391175581, -0.9009688679024191}}, \ {{-0.2225209339563144, 0.9749279121818236}, {-0.9749279121818236, -0.2225209339563144}}, \ {{0.6234898018587335, 0.7818314824680298}, {-0.7818314824680298, 0.6234898018587335}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {EdgeForm[{RGBColor[0.264425, 0.423024, 0.3849], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{Rational[9, 4], 0}, { Rational[3, 16] (1 + 5^Rational[1, 2]), Rational[ 3, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[9, 16] (1 + 5^Rational[1, 2]), Rational[ 9, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {3, 0}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 4], 0}, {0, 0}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 2], 0}, {0, 0}}], BezierCurve[{{2.25, 0}, {0.6067627457812106, 0.44083893921935485`}, {1.8202882373436318`, 1.3225168176580646`}, {3, 0}, {2.4270509831248424`, 1.7633557568774194`}, {0.75, 0}, {0, 0}, { 1.2135254915624212`, 0.8816778784387097}, {1.5, 0}, {0, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.264425, 0.423024, 0.3849], {FaceForm[RGBColor[0.264425, 0.423024, 0.3849]], FilledCurveBox[NCache[ BezierCurve[{{Rational[9, 4], 0}, { Rational[3, 16] (1 + 5^Rational[1, 2]), Rational[ 3, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[9, 16] (1 + 5^Rational[1, 2]), Rational[ 9, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {3, 0}, { Rational[3, 4] (1 + 5^Rational[1, 2]), 3 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 4], 0}, {0, 0}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 2], 0}, {0, 0}}], BezierCurve[{{2.25, 0}, {0.6067627457812106, 0.44083893921935485`}, {1.8202882373436318`, 1.3225168176580646`}, {3, 0}, {2.4270509831248424`, 1.7633557568774194`}, {0.75, 0}, {0, 0}, { 1.2135254915624212`, 0.8816778784387097}, {1.5, 0}, {0, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {0, 0}, {2, 0}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 2], 0}, { Rational[1, 2], 0}}], BezierCurve[{{1, 0}, {0.8090169943749475, 0.5877852522924731}, {1.2135254915624212`, 0.8816778784387097}, {0, 0}, {0, 0}, {2, 0}, { 0.4045084971874737, 0.29389262614623657`}, { 1.618033988749895, 1.1755705045849463`}, {1.5, 0}, { 0.5, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{1, 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 8] (1 + 5^Rational[1, 2]), Rational[ 3, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {0, 0}, {2, 0}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 2] (1 + 5^Rational[1, 2]), 2 (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {Rational[3, 2], 0}, { Rational[1, 2], 0}}], BezierCurve[{{1, 0}, {0.8090169943749475, 0.5877852522924731}, {1.2135254915624212`, 0.8816778784387097}, {0, 0}, {0, 0}, {2, 0}, { 0.4045084971874737, 0.29389262614623657`}, { 1.618033988749895, 1.1755705045849463`}, {1.5, 0}, { 0.5, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}, {RGBColor[0.416394, 0.555345, 0.24182], {EdgeForm[{RGBColor[0.416394, 0.555345, 0.24182], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 16] (1 + 5^Rational[1, 2]), Rational[ 1, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {0, 0}, {Rational[1, 2], 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 4], 0}, {1, 0}, {Rational[1, 4], 0}, { Rational[3, 16] (1 + 5^Rational[1, 2]), Rational[ 3, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0.20225424859373686`, 0.14694631307311828`}, {0, 0}, {0, 0}, {0.5, 0}, {0.8090169943749475, 0.5877852522924731}, {0.75, 0}, {1, 0}, {0.25, 0}, { 0.6067627457812106, 0.44083893921935485`}, { 0.4045084971874737, 0.29389262614623657`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.416394, 0.555345, 0.24182], {FaceForm[RGBColor[0.416394, 0.555345, 0.24182]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 16] (1 + 5^Rational[1, 2]), Rational[ 1, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, {0, 0}, {0, 0}, {Rational[1, 2], 0}, { Rational[1, 4] (1 + 5^Rational[1, 2]), (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^Rational[1, 2]}, { Rational[3, 4], 0}, {1, 0}, {Rational[1, 4], 0}, { Rational[3, 16] (1 + 5^Rational[1, 2]), Rational[ 3, 4] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}, { Rational[1, 8] (1 + 5^Rational[1, 2]), Rational[ 1, 2] (Rational[5, 8] + Rational[-1, 8] 5^Rational[1, 2])^ Rational[1, 2]}}], BezierCurve[{{0.20225424859373686`, 0.14694631307311828`}, {0, 0}, {0, 0}, {0.5, 0}, {0.8090169943749475, 0.5877852522924731}, {0.75, 0}, {1, 0}, {0.25, 0}, { 0.6067627457812106, 0.44083893921935485`}, { 0.4045084971874737, 0.29389262614623657`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 - 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 - 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 - 5^Rational[1, 2])}}, {{ Rational[1, 4] (-1 + 5^Rational[1, 2]), Rational[1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2]}, { Rational[-1, 2] (Rational[1, 2] (5 + 5^Rational[1, 2]))^ Rational[1, 2], Rational[1, 4] (-1 + 5^Rational[1, 2])}}}, {{{ 1, 0}, {0, 1}}, {{0.30901699437494745`, -0.9510565162951535}, { 0.9510565162951535, 0.30901699437494745`}}, {{-0.8090169943749475, \ -0.5877852522924731}, { 0.5877852522924731, -0.8090169943749475}}, {{-0.8090169943749475, 0.5877852522924731}, {-0.5877852522924731, -0.8090169943749475}}, \ {{0.30901699437494745`, 0.9510565162951535}, {-0.9510565162951535, 0.30901699437494745`}}}]]}}}, ImageSize->150], GraphicsBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {EdgeForm[{RGBColor[0.72987, 0.239399, 0.230961], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[15, 4] 2^Rational[-1, 2], Rational[15, 4] 2^Rational[-1, 2]}, {Rational[15, 4], 0}, { Rational[5, 4] 2^Rational[-1, 2], Rational[5, 4] 2^Rational[-1, 2]}, {0, 0}, { 5 2^Rational[-1, 2], 5 2^Rational[-1, 2]}, {5, 0}, { Rational[5, 2] 2^Rational[-1, 2], Rational[5, 2] 2^Rational[-1, 2]}, {0, 0}, {Rational[5, 2], 0}, { Rational[5, 4], 0}}], BezierCurve[{{2.651650429449553, 2.651650429449553}, { 3.75, 0}, {0.8838834764831843, 0.8838834764831843}, {0, 0}, { 3.5355339059327373`, 3.5355339059327373`}, {5, 0}, { 1.7677669529663687`, 1.7677669529663687`}, {0, 0}, { 2.5, 0}, {1.25, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.72987, 0.239399, 0.230961], {FaceForm[RGBColor[0.72987, 0.239399, 0.230961]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[15, 4] 2^Rational[-1, 2], Rational[15, 4] 2^Rational[-1, 2]}, {Rational[15, 4], 0}, { Rational[5, 4] 2^Rational[-1, 2], Rational[5, 4] 2^Rational[-1, 2]}, {0, 0}, { 5 2^Rational[-1, 2], 5 2^Rational[-1, 2]}, {5, 0}, { Rational[5, 2] 2^Rational[-1, 2], Rational[5, 2] 2^Rational[-1, 2]}, {0, 0}, {Rational[5, 2], 0}, { Rational[5, 4], 0}}], BezierCurve[{{2.651650429449553, 2.651650429449553}, { 3.75, 0}, {0.8838834764831843, 0.8838834764831843}, {0, 0}, {3.5355339059327373`, 3.5355339059327373`}, {5, 0}, { 1.7677669529663687`, 1.7677669529663687`}, {0, 0}, { 2.5, 0}, {1.25, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.812807, 0.518694, 0.303459], {EdgeForm[{RGBColor[0.812807, 0.518694, 0.303459], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{4, 0}, {0, 0}, { 3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, {2, 0}, { 2^Rational[1, 2], 2^Rational[1, 2]}, {1, 0}, {3, 0}, {0, 0}, {2^Rational[-1, 2], 2^Rational[-1, 2]}, { 2 2^Rational[1, 2], 2 2^Rational[1, 2]}}], BezierCurve[{{4, 0}, {0, 0}, {2.1213203435596424`, 2.1213203435596424`}, {2, 0}, {1.4142135623730951`, 1.4142135623730951`}, {1, 0}, {3, 0}, {0, 0}, { 0.7071067811865475, 0.7071067811865475}, { 2.8284271247461903`, 2.8284271247461903`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.812807, 0.518694, 0.303459], {FaceForm[RGBColor[0.812807, 0.518694, 0.303459]], FilledCurveBox[NCache[ BezierCurve[{{4, 0}, {0, 0}, { 3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, {2, 0}, { 2^Rational[1, 2], 2^Rational[1, 2]}, {1, 0}, {3, 0}, {0, 0}, {2^Rational[-1, 2], 2^Rational[-1, 2]}, { 2 2^Rational[1, 2], 2 2^Rational[1, 2]}}], BezierCurve[{{4, 0}, {0, 0}, {2.1213203435596424`, 2.1213203435596424`}, {2, 0}, {1.4142135623730951`, 1.4142135623730951`}, {1, 0}, {3, 0}, {0, 0}, { 0.7071067811865475, 0.7071067811865475}, { 2.8284271247461903`, 2.8284271247461903`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {EdgeForm[{RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, { Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, {Rational[3, 2], 0}, {0, 0}, { Rational[9, 4], 0}, {0, 0}, { Rational[9, 4] 2^Rational[-1, 2], Rational[9, 4] 2^Rational[-1, 2]}, {Rational[3, 4], 0}, {3, 0}}], BezierCurve[{{2.1213203435596424`, 2.1213203435596424`}, { 0.5303300858899106, 0.5303300858899106}, { 1.0606601717798212`, 1.0606601717798212`}, {1.5, 0}, {0, 0}, {2.25, 0}, {0, 0}, {1.590990257669732, 1.590990257669732}, {0.75, 0}, {3, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.8778749999999998, 0.7310449999999997, 0.326896], {FaceForm[RGBColor[ 0.8778749999999998, 0.7310449999999997, 0.326896]], FilledCurveBox[NCache[ BezierCurve[{{3 2^Rational[-1, 2], 3 2^Rational[-1, 2]}, { Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, {Rational[3, 2], 0}, {0, 0}, { Rational[9, 4], 0}, {0, 0}, { Rational[9, 4] 2^Rational[-1, 2], Rational[9, 4] 2^Rational[-1, 2]}, {Rational[3, 4], 0}, {3, 0}}], BezierCurve[{{2.1213203435596424`, 2.1213203435596424`}, { 0.5303300858899106, 0.5303300858899106}, { 1.0606601717798212`, 1.0606601717798212`}, {1.5, 0}, {0, 0}, {2.25, 0}, {0, 0}, {1.590990257669732, 1.590990257669732}, {0.75, 0}, {3, 0}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.624866, 0.673302, 0.264296], {EdgeForm[{RGBColor[0.624866, 0.673302, 0.264296], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, {1, 0}, {2, 0}, {0, 0}, {0, 0}, { Rational[3, 2], 0}, {Rational[1, 2], 0}, { 2^Rational[1, 2], 2^Rational[1, 2]}}], BezierCurve[{{0.35355339059327373`, 0.35355339059327373`}, { 0.7071067811865475, 0.7071067811865475}, { 1.0606601717798212`, 1.0606601717798212`}, {1, 0}, {2, 0}, { 0, 0}, {0, 0}, {1.5, 0}, {0.5, 0}, {1.4142135623730951`, 1.4142135623730951`}}]]]}}, GeometricTransformationBox[ {RGBColor[0.624866, 0.673302, 0.264296], {FaceForm[RGBColor[0.624866, 0.673302, 0.264296]], FilledCurveBox[NCache[ BezierCurve[{{ Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[3, 2] 2^Rational[-1, 2], Rational[3, 2] 2^Rational[-1, 2]}, {1, 0}, {2, 0}, {0, 0}, {0, 0}, { Rational[3, 2], 0}, {Rational[1, 2], 0}, { 2^Rational[1, 2], 2^Rational[1, 2]}}], BezierCurve[{{0.35355339059327373`, 0.35355339059327373`}, { 0.7071067811865475, 0.7071067811865475}, { 1.0606601717798212`, 1.0606601717798212`}, {1, 0}, {2, 0}, { 0, 0}, {0, 0}, {1.5, 0}, {0.5, 0}, {1.4142135623730951`, 1.4142135623730951`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, { 0, -1}}, {{0, 1}, {-1, 0}}}]}}, {RGBColor[0.253651, 0.344893, 0.558151], {EdgeForm[{RGBColor[0.253651, 0.344893, 0.558151], Opacity[1]}], FaceForm[Opacity[0.7]], GeometricTransformationBox[{ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 4], 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, {Rational[1, 2], 0}, { Rational[1, 4] 2^Rational[-1, 2], Rational[1, 4] 2^Rational[-1, 2]}, {Rational[3, 4], 0}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, {0, 0}, {0, 0}, {1, 0}}], BezierCurve[{{0.25, 0}, {0.7071067811865475, 0.7071067811865475}, {0.5303300858899106, 0.5303300858899106}, {0.5, 0}, {0.17677669529663687`, 0.17677669529663687`}, {0.75, 0}, {0.35355339059327373`, 0.35355339059327373`}, {0, 0}, {0, 0}, {1, 0}}]]]}}, GeometricTransformationBox[ {RGBColor[0.253651, 0.344893, 0.558151], {FaceForm[RGBColor[0.253651, 0.344893, 0.558151]], FilledCurveBox[NCache[ BezierCurve[{{Rational[1, 4], 0}, { 2^Rational[-1, 2], 2^Rational[-1, 2]}, { Rational[3, 4] 2^Rational[-1, 2], Rational[3, 4] 2^Rational[-1, 2]}, {Rational[1, 2], 0}, { Rational[1, 4] 2^Rational[-1, 2], Rational[1, 4] 2^Rational[-1, 2]}, {Rational[3, 4], 0}, { Rational[1, 2] 2^Rational[-1, 2], Rational[1, 2] 2^Rational[-1, 2]}, {0, 0}, {0, 0}, {1, 0}}], BezierCurve[{{0.25, 0}, {0.7071067811865475, 0.7071067811865475}, {0.5303300858899106, 0.5303300858899106}, {0.5, 0}, {0.17677669529663687`, 0.17677669529663687`}, {0.75, 0}, {0.35355339059327373`, 0.35355339059327373`}, {0, 0}, {0, 0}, {1, 0}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{1, 0}, {0, 1}}, {{0, -1}, {1, 0}}, {{-1, 0}, {0, -1}}, {{0, 1}, {-1, 0}}}]}}}, ImageSize->150], ""} }, AutoDelete->False, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"]], "Output", TaggingRules->{}, CellChangeTimes->{{3.848520387447706*^9, 3.8485204339665623`*^9}, 3.859193972528623*^9}, CellLabel->"Out[1]=", CellID->991197872] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->14107566], Cell["A table of \"open\" colorized mandalas:", "Text", TaggingRules->{}, CellChangeTimes->{{3.8655235516312838`*^9, 3.865523560647724*^9}}, CellID->443887021], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"n", "=", "36"}], ";"}], "\[IndentingNewLine]", RowBox[{"Magnify", "[", RowBox[{ RowBox[{"Multicolumn", "[", RowBox[{ RowBox[{"Map", "[", RowBox[{ RowBox[{ RowBox[{"BlockRandom", "[", RowBox[{ RowBox[{"SeedRandom", "[", "24", "]"}], ";", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "#"}], ",", RowBox[{"ColorFunction", "\[Rule]", RowBox[{"ColorData", "[", "\"\\"", "]"}]}]}], "]"}]}], "]"}], "&"}], ",", RowBox[{"RandomReal", "[", RowBox[{ RowBox[{"{", RowBox[{"2", ",", "4"}], "}"}], ",", "n"}], "]"}]}], "]"}], ",", "6"}], "]"}], ",", "0.5"}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.7795497947567472`*^9, 3.7795499471958437`*^9}, { 3.779550710421224*^9, 3.779550718172097*^9}, {3.779550847471126*^9, 3.779550853329739*^9}, {3.77955501916181*^9, 3.77955503514565*^9}}, CellLabel->"In[1]:=", CellID->833715097], Cell[BoxData[ StyleBox[ TagBox[GridBox[{ { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {0.1942531568307663, 3.327668376231681}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { 0.48563289207691573`, 8.319170940579204}, { Rational[10, 3], 0}, {0.09712657841538315, 1.6638341881158405`}, {0.2913797352461494, 4.991502564347521}, {0., 0.}, {0.5827594704922988, 9.983005128695043}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 0.3885063136615326, 6.655336752463362}}], BezierCurve[{{5, 0}, {0.1942531568307663, 3.327668376231681}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 0.48563289207691573`, 8.319170940579204}, { 3.3333333333333335`, 0}, {0.09712657841538315, 1.6638341881158405`}, {0.2913797352461494, 4.991502564347521}, {0., 0.}, {0.5827594704922988, 9.983005128695043}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 0.3885063136615326, 6.655336752463362}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {0.1942531568307663, 3.327668376231681}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { 0.48563289207691573`, 8.319170940579204}, { Rational[10, 3], 0}, {0.09712657841538315, 1.6638341881158405`}, {0.2913797352461494, 4.991502564347521}, {0., 0.}, {0.5827594704922988, 9.983005128695043}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 0.3885063136615326, 6.655336752463362}}], BezierCurve[{{5, 0}, {0.1942531568307663, 3.327668376231681}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 0.48563289207691573`, 8.319170940579204}, { 3.3333333333333335`, 0}, {0.09712657841538315, 1.6638341881158405`}, {0.2913797352461494, 4.991502564347521}, {0., 0.}, {0.5827594704922988, 9.983005128695043}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 0.3885063136615326, 6.655336752463362}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.9932078279910307, -0.11635381565440454`}, { 0.11635381565440454`, -0.9932078279910307}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.039032013063038, 2.636941326767664}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.0975800326575955`, 6.5923533169191595`}, {Rational[10, 3], 0}, { 1.019516006531519, 1.318470663383832}, {3.058548019594557, 3.9554119901514957`}, {0., 0.}, {6.117096039189114, 7.910823980302991}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.078064026126076, 5.273882653535328}}], BezierCurve[{{5, 0}, {2.039032013063038, 2.636941326767664}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.0975800326575955`, 6.5923533169191595`}, { 3.3333333333333335`, 0}, {1.019516006531519, 1.318470663383832}, {3.058548019594557, 3.9554119901514957`}, { 0., 0.}, {6.117096039189114, 7.910823980302991}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.078064026126076, 5.273882653535328}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.039032013063038, 2.636941326767664}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { 5.0975800326575955`, 6.5923533169191595`}, { Rational[10, 3], 0}, {1.019516006531519, 1.318470663383832}, { 3.058548019594557, 3.9554119901514957`}, {0., 0.}, { 6.117096039189114, 7.910823980302991}, {10, 0}, {0, 0}, { Rational[25, 3], 0}, {4.078064026126076, 5.273882653535328}}], BezierCurve[{{5, 0}, {2.039032013063038, 2.636941326767664}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.0975800326575955`, 6.5923533169191595`}, { 3.3333333333333335`, 0}, {1.019516006531519, 1.318470663383832}, {3.058548019594557, 3.9554119901514957`}, {0., 0.}, {6.117096039189114, 7.910823980302991}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.078064026126076, 5.273882653535328}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.25162272094673716`, -0.9678254007326738}, { 0.9678254007326738, -0.25162272094673716`}}, {{-0.8733720126067209, 0.48705372146744325`}, {-0.48705372146744325`, \ -0.8733720126067209}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.2394282666275929`, 3.09433816558495}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.0985706665689823`, 7.735845413962375}, {Rational[10, 3], 0}, {0.6197141333137964, 1.547169082792475}, {1.8591423999413892`, 4.641507248377424}, {0., 0.}, {3.7182847998827784`, 9.283014496754848}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.4788565332551857`, 6.1886763311699}}], BezierCurve[{{5, 0}, {1.2394282666275929`, 3.09433816558495}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.0985706665689823`, 7.735845413962375}, { 3.3333333333333335`, 0}, {0.6197141333137964, 1.547169082792475}, {1.8591423999413892`, 4.641507248377424}, { 0., 0.}, {3.7182847998827784`, 9.283014496754848}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {2.4788565332551857`, 6.1886763311699}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.2394282666275929`, 3.09433816558495}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { 3.0985706665689823`, 7.735845413962375}, { Rational[10, 3], 0}, {0.6197141333137964, 1.547169082792475}, {1.8591423999413892`, 4.641507248377424}, {0., 0.}, {3.7182847998827784`, 9.283014496754848}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.4788565332551857`, 6.1886763311699}}], BezierCurve[{{5, 0}, {1.2394282666275929`, 3.09433816558495}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.0985706665689823`, 7.735845413962375}, { 3.3333333333333335`, 0}, {0.6197141333137964, 1.547169082792475}, {1.8591423999413892`, 4.641507248377424}, {0., 0.}, {3.7182847998827784`, 9.283014496754848}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.4788565332551857`, 6.1886763311699}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.7234871629392138, -0.6903378340075007}, { 0.6903378340075007, -0.7234871629392138}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.212580009019276, 2.4931106703873724`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.53145002254819, 6.232776675968431}, {Rational[10, 3], 0}, {1.106290004509638, 1.2465553351936862`}, {3.318870013528914, 3.739666005581058}, { 0., 0.}, {6.637740027057828, 7.479332011162116}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {4.425160018038552, 4.986221340774745}}], BezierCurve[{{5, 0}, {2.212580009019276, 2.4931106703873724`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.53145002254819, 6.232776675968431}, { 3.3333333333333335`, 0}, {1.106290004509638, 1.2465553351936862`}, {3.318870013528914, 3.739666005581058}, { 0., 0.}, {6.637740027057828, 7.479332011162116}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.425160018038552, 4.986221340774745}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.212580009019276, 2.4931106703873724`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.53145002254819, 6.232776675968431}, {Rational[10, 3], 0}, {1.106290004509638, 1.2465553351936862`}, {3.318870013528914, 3.739666005581058}, {0., 0.}, {6.637740027057828, 7.479332011162116}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.425160018038552, 4.986221340774745}}], BezierCurve[{{5, 0}, {2.212580009019276, 2.4931106703873724`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.53145002254819, 6.232776675968431}, { 3.3333333333333335`, 0}, {1.106290004509638, 1.2465553351936862`}, {3.318870013528914, 3.739666005581058}, {0., 0.}, {6.637740027057828, 7.479332011162116}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.425160018038552, 4.986221340774745}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.11880814666388699`, -0.992917229322914}, { 0.992917229322914, -0.11880814666388699`}}, {{-0.9717692485725846, 0.23593331161299416`}, {-0.23593331161299416`, \ -0.9717692485725846}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.5012863784289623`, 2.9761132910315697`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.7532159460724057`, 7.4402832275789255`}, {Rational[10, 3], 0}, { 0.7506431892144811, 1.4880566455157849`}, {2.2519295676434434`, 4.464169936547354}, {0., 0.}, {4.503859135286887, 8.928339873094709}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.0025727568579246`, 5.9522265820631395`}}], BezierCurve[{{5, 0}, {1.5012863784289623`, 2.9761132910315697`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {3.7532159460724057`, 7.4402832275789255`}, {3.3333333333333335`, 0}, { 0.7506431892144811, 1.4880566455157849`}, {2.2519295676434434`, 4.464169936547354}, {0., 0.}, {4.503859135286887, 8.928339873094709}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.0025727568579246`, 5.9522265820631395`}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.5012863784289623`, 2.9761132910315697`}, {Rational[5, 3], 0}, { Rational[20, 3], 0}, {3.7532159460724057`, 7.4402832275789255`}, {Rational[10, 3], 0}, { 0.7506431892144811, 1.4880566455157849`}, { 2.2519295676434434`, 4.464169936547354}, {0., 0.}, { 4.503859135286887, 8.928339873094709}, {10, 0}, {0, 0}, { Rational[25, 3], 0}, {3.0025727568579246`, 5.9522265820631395`}}], BezierCurve[{{5, 0}, {1.5012863784289623`, 2.9761132910315697`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {3.7532159460724057`, 7.4402832275789255`}, {3.3333333333333335`, 0}, { 0.7506431892144811, 1.4880566455157849`}, { 2.2519295676434434`, 4.464169936547354}, {0., 0.}, { 4.503859135286887, 8.928339873094709}, {10, 0}, {0, 0}, { 8.333333333333334, 0}, {3.0025727568579246`, 5.9522265820631395`}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.5943050577898572, -0.8042397020076754}, { 0.8042397020076754, -0.5943050577898572}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9707837271433193`, 2.688330822636641}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.926959317858299, 6.720827056591602}, {Rational[10, 3], 0}, {0.9853918635716596, 1.3441654113183206`}, {2.956175590714979, 4.032496233954961}, { 0., 0.}, {5.912351181429958, 8.064992467909923}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.9415674542866386`, 5.376661645273282}}], BezierCurve[{{5, 0}, {1.9707837271433193`, 2.688330822636641}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.926959317858299, 6.720827056591602}, { 3.3333333333333335`, 0}, {0.9853918635716596, 1.3441654113183206`}, {2.956175590714979, 4.032496233954961}, { 0., 0.}, {5.912351181429958, 8.064992467909923}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {3.9415674542866386`, 5.376661645273282}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9707837271433193`, 2.688330822636641}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.926959317858299, 6.720827056591602}, {Rational[10, 3], 0}, {0.9853918635716596, 1.3441654113183206`}, {2.956175590714979, 4.032496233954961}, {0., 0.}, {5.912351181429958, 8.064992467909923}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.9415674542866386`, 5.376661645273282}}], BezierCurve[{{5, 0}, {1.9707837271433193`, 2.688330822636641}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.926959317858299, 6.720827056591602}, { 3.3333333333333335`, 0}, {0.9853918635716596, 1.3441654113183206`}, {2.956175590714979, 4.032496233954961}, {0., 0.}, {5.912351181429958, 8.064992467909923}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.9415674542866386`, 5.376661645273282}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.30088207014887564`, -0.9536613549174189}, { 0.9536613549174189, -0.30088207014887564`}}, {{-0.8189399597258542, 0.5738792053770692}, {-0.5738792053770692, \ -0.8189399597258542}}}]]}, { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.213805930823001, 3.104478422120215}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.0345148270575026`, 7.7611960553005375`}, {Rational[10, 3], 0}, { 0.6069029654115005, 1.5522392110601075`}, {1.8207088962345015`, 4.656717633180322}, {0., 0.}, {3.641417792469003, 9.313435266360644}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.427611861646002, 6.20895684424043}}], BezierCurve[{{5, 0}, {1.213805930823001, 3.104478422120215}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.0345148270575026`, 7.7611960553005375`}, { 3.3333333333333335`, 0}, {0.6069029654115005, 1.5522392110601075`}, {1.8207088962345015`, 4.656717633180322}, {0., 0.}, {3.641417792469003, 9.313435266360644}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.427611861646002, 6.20895684424043}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.213805930823001, 3.104478422120215}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { 3.0345148270575026`, 7.7611960553005375`}, { Rational[10, 3], 0}, {0.6069029654115005, 1.5522392110601075`}, {1.8207088962345015`, 4.656717633180322}, {0., 0.}, {3.641417792469003, 9.313435266360644}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.427611861646002, 6.20895684424043}}], BezierCurve[{{5, 0}, {1.213805930823001, 3.104478422120215}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.0345148270575026`, 7.7611960553005375`}, { 3.3333333333333335`, 0}, {0.6069029654115005, 1.5522392110601075`}, {1.8207088962345015`, 4.656717633180322}, {0., 0.}, {3.641417792469003, 9.313435266360644}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.427611861646002, 6.20895684424043}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.7348015292138035, -0.6782821777586788}, { 0.6782821777586788, -0.7348015292138035}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.3273324360945575`, 2.386343404251216}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.818331090236394, 5.96585851062804}, {Rational[10, 3], 0}, {1.1636662180472788`, 1.193171702125608}, {3.4909986541418365`, 3.5795151063768236`}, {0., 0.}, {6.981997308283673, 7.159030212753647}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.654664872189115, 4.772686808502432}}], BezierCurve[{{5, 0}, {2.3273324360945575`, 2.386343404251216}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.818331090236394, 5.96585851062804}, { 3.3333333333333335`, 0}, {1.1636662180472788`, 1.193171702125608}, {3.4909986541418365`, 3.5795151063768236`}, {0., 0.}, {6.981997308283673, 7.159030212753647}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.654664872189115, 4.772686808502432}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.3273324360945575`, 2.386343404251216}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.818331090236394, 5.96585851062804}, {Rational[10, 3], 0}, {1.1636662180472788`, 1.193171702125608}, {3.4909986541418365`, 3.5795151063768236`}, {0., 0.}, {6.981997308283673, 7.159030212753647}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.654664872189115, 4.772686808502432}}], BezierCurve[{{5, 0}, {2.3273324360945575`, 2.386343404251216}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.818331090236394, 5.96585851062804}, { 3.3333333333333335`, 0}, {1.1636662180472788`, 1.193171702125608}, {3.4909986541418365`, 3.5795151063768236`}, {0., 0.}, {6.981997308283673, 7.159030212753647}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.654664872189115, 4.772686808502432}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.025034271742390875`, -0.9996865935073492}, { 0.9996865935073492, -0.025034271742390875`}}, {{-0.9987465704766563, 0.05005285167817605}, {-0.05005285167817605, \ -0.9987465704766563}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.3188376131764743`, 2.394598762805398}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.797094032941186, 5.986496907013496}, {Rational[10, 3], 0}, {1.1594188065882371`, 1.197299381402699}, {3.4782564197647114`, 3.591898144208097}, {0., 0.}, {6.956512839529423, 7.183796288416194}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.637675226352949, 4.789197525610796}}], BezierCurve[{{5, 0}, {2.3188376131764743`, 2.394598762805398}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.797094032941186, 5.986496907013496}, { 3.3333333333333335`, 0}, {1.1594188065882371`, 1.197299381402699}, {3.4782564197647114`, 3.591898144208097}, { 0., 0.}, {6.956512839529423, 7.183796288416194}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.637675226352949, 4.789197525610796}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.3188376131764743`, 2.394598762805398}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.797094032941186, 5.986496907013496}, {Rational[10, 3], 0}, { 1.1594188065882371`, 1.197299381402699}, {3.4782564197647114`, 3.591898144208097}, {0., 0.}, {6.956512839529423, 7.183796288416194}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.637675226352949, 4.789197525610796}}], BezierCurve[{{5, 0}, {2.3188376131764743`, 2.394598762805398}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.797094032941186, 5.986496907013496}, { 3.3333333333333335`, 0}, {1.1594188065882371`, 1.197299381402699}, {3.4782564197647114`, 3.591898144208097}, {0., 0.}, {6.956512839529423, 7.183796288416194}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.637675226352949, 4.789197525610796}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.03213858226924563, -0.9994834223386213}, { 0.9994834223386213, -0.03213858226924563}}, {{-0.9979342230594459, 0.06424396039115392}, {-0.06424396039115392, \ -0.9979342230594459}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.532745140758275, 2.9600343654412202`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.831862851895688, 7.400085913603051}, {Rational[10, 3], 0}, {0.7663725703791375, 1.4800171827206101`}, {2.2991177111374124`, 4.44005154816183}, {0., 0.}, {4.598235422274825, 8.88010309632366}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.06549028151655, 5.9200687308824405`}}], BezierCurve[{{5, 0}, {1.532745140758275, 2.9600343654412202`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.831862851895688, 7.400085913603051}, { 3.3333333333333335`, 0}, {0.7663725703791375, 1.4800171827206101`}, {2.2991177111374124`, 4.44005154816183}, {0., 0.}, {4.598235422274825, 8.88010309632366}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.06549028151655, 5.9200687308824405`}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.532745140758275, 2.9600343654412202`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.831862851895688, 7.400085913603051}, {Rational[10, 3], 0}, {0.7663725703791375, 1.4800171827206101`}, {2.2991177111374124`, 4.44005154816183}, {0., 0.}, {4.598235422274825, 8.88010309632366}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.06549028151655, 5.9200687308824405`}}], BezierCurve[{{5, 0}, {1.532745140758275, 2.9600343654412202`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.831862851895688, 7.400085913603051}, { 3.3333333333333335`, 0}, {0.7663725703791375, 1.4800171827206101`}, {2.2991177111374124`, 4.44005154816183}, {0., 0.}, {4.598235422274825, 8.88010309632366}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.06549028151655, 5.9200687308824405`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.5771246200267413, -0.8166560922193562}, { 0.8166560922193562, -0.5771246200267413}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.064551772704883, 3.158772013669553}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {2.6613794317622075`, 7.896930034173883}, {Rational[10, 3], 0}, {0.5322758863524415, 1.5793860068347765`}, {1.5968276590573245`, 4.738158020504329}, {0., 0.}, {3.193655318114649, 9.476316041008658}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.129103545409766, 6.317544027339106}}], BezierCurve[{{5, 0}, {1.064551772704883, 3.158772013669553}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 2.6613794317622075`, 7.896930034173883}, { 3.3333333333333335`, 0}, {0.5322758863524415, 1.5793860068347765`}, {1.5968276590573245`, 4.738158020504329}, {0., 0.}, {3.193655318114649, 9.476316041008658}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.129103545409766, 6.317544027339106}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.064551772704883, 3.158772013669553}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { 2.6613794317622075`, 7.896930034173883}, { Rational[10, 3], 0}, {0.5322758863524415, 1.5793860068347765`}, {1.5968276590573245`, 4.738158020504329}, {0., 0.}, {3.193655318114649, 9.476316041008658}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.129103545409766, 6.317544027339106}}], BezierCurve[{{5, 0}, {1.064551772704883, 3.158772013669553}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 2.6613794317622075`, 7.896930034173883}, { 3.3333333333333335`, 0}, {0.5322758863524415, 1.5793860068347765`}, {1.5968276590573245`, 4.738158020504329}, {0., 0.}, {3.193655318114649, 9.476316041008658}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.129103545409766, 6.317544027339106}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.7960113141815605, -0.6052817424100492}, { 0.6052817424100492, -0.7960113141815605}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.0815518021607615`, 2.603507865559925}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.203879505401904, 6.5087696638998125`}, {Rational[10, 3], 0}, { 1.0407759010803808`, 1.3017539327799625`}, {3.122327703241142, 3.9052617983398874`}, {0., 0.}, {6.244655406482284, 7.810523596679775}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.163103604321523, 5.20701573111985}}], BezierCurve[{{5, 0}, {2.0815518021607615`, 2.603507865559925}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.203879505401904, 6.5087696638998125`}, { 3.3333333333333335`, 0}, {1.0407759010803808`, 1.3017539327799625`}, {3.122327703241142, 3.9052617983398874`}, {0., 0.}, {6.244655406482284, 7.810523596679775}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.163103604321523, 5.20701573111985}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.0815518021607615`, 2.603507865559925}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.203879505401904, 6.5087696638998125`}, {Rational[10, 3], 0}, { 1.0407759010803808`, 1.3017539327799625`}, {3.122327703241142, 3.9052617983398874`}, {0., 0.}, {6.244655406482284, 7.810523596679775}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.163103604321523, 5.20701573111985}}], BezierCurve[{{5, 0}, {2.0815518021607615`, 2.603507865559925}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.203879505401904, 6.5087696638998125`}, { 3.3333333333333335`, 0}, {1.0407759010803808`, 1.3017539327799625`}, {3.122327703241142, 3.9052617983398874`}, {0., 0.}, {6.244655406482284, 7.810523596679775}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.163103604321523, 5.20701573111985}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.22008557708583143`, -0.9754805681092764}, { 0.9754805681092764, -0.22008557708583143`}}, {{-0.9031246775175931, 0.42937840753668954`}, {-0.42937840753668954`, \ -0.9031246775175931}}}]]}, { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.14321839548905, 2.5529837485476587`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.358045988722624, 6.382459371369148}, {Rational[10, 3], 0}, {1.071609197744525, 1.2764918742738294`}, {3.214827593233575, 3.829475622821488}, { 0., 0.}, {6.42965518646715, 7.658951245642976}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {4.2864367909781, 5.1059674970953175`}}], BezierCurve[{{5, 0}, {2.14321839548905, 2.5529837485476587`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.358045988722624, 6.382459371369148}, { 3.3333333333333335`, 0}, {1.071609197744525, 1.2764918742738294`}, {3.214827593233575, 3.829475622821488}, { 0., 0.}, {6.42965518646715, 7.658951245642976}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.2864367909781, 5.1059674970953175`}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.14321839548905, 2.5529837485476587`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.358045988722624, 6.382459371369148}, {Rational[10, 3], 0}, {1.071609197744525, 1.2764918742738294`}, {3.214827593233575, 3.829475622821488}, {0., 0.}, {6.42965518646715, 7.658951245642976}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.2864367909781, 5.1059674970953175`}}], BezierCurve[{{5, 0}, {2.14321839548905, 2.5529837485476587`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.358045988722624, 6.382459371369148}, { 3.3333333333333335`, 0}, {1.071609197744525, 1.2764918742738294`}, {3.214827593233575, 3.829475622821488}, {0., 0.}, {6.42965518646715, 7.658951245642976}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.2864367909781, 5.1059674970953175`}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.17319068366272192`, -0.9848883119889478}, { 0.9848883119889478, -0.17319068366272192`}}, {{-0.940009974184878, 0.34114696016958007`}, {-0.34114696016958007`, \ -0.940009974184878}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9729741185531002`, 2.6867236997188093`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.932435296382751, 6.7168092492970235`}, {Rational[10, 3], 0}, { 0.9864870592765501, 1.3433618498594047`}, {2.9594611778296502`, 4.030085549578214}, {0., 0.}, {5.9189223556593005`, 8.060171099156427}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.9459482371062005`, 5.373447399437619}}], BezierCurve[{{5, 0}, {1.9729741185531002`, 2.6867236997188093`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.932435296382751, 6.7168092492970235`}, {3.3333333333333335`, 0}, { 0.9864870592765501, 1.3433618498594047`}, {2.9594611778296502`, 4.030085549578214}, {0., 0.}, {5.9189223556593005`, 8.060171099156427}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.9459482371062005`, 5.373447399437619}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9729741185531002`, 2.6867236997188093`}, {Rational[5, 3], 0}, { Rational[20, 3], 0}, {4.932435296382751, 6.7168092492970235`}, {Rational[10, 3], 0}, { 0.9864870592765501, 1.3433618498594047`}, { 2.9594611778296502`, 4.030085549578214}, {0., 0.}, { 5.9189223556593005`, 8.060171099156427}, {10, 0}, {0, 0}, { Rational[25, 3], 0}, {3.9459482371062005`, 5.373447399437619}}], BezierCurve[{{5, 0}, {1.9729741185531002`, 2.6867236997188093`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.932435296382751, 6.7168092492970235`}, {3.3333333333333335`, 0}, { 0.9864870592765501, 1.3433618498594047`}, { 2.9594611778296502`, 4.030085549578214}, {0., 0.}, { 5.9189223556593005`, 8.060171099156427}, {10, 0}, {0, 0}, { 8.333333333333334, 0}, {3.9459482371062005`, 5.373447399437619}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.29932716295353096`, -0.9541505381847197}, { 0.9541505381847197, -0.29932716295353096`}}, {{-0.8208064990363806, 0.5712063472508337}, {-0.5712063472508337, -0.8208064990363806}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9147473864691156`, 2.728525894530012}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.786868466172789, 6.82131473632503}, {Rational[10, 3], 0}, {0.9573736932345578, 1.364262947265006}, {2.8721210797036734`, 4.092788841795018}, { 0., 0.}, {5.744242159407347, 8.185577683590036}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.829494772938231, 5.457051789060024}}], BezierCurve[{{5, 0}, {1.9147473864691156`, 2.728525894530012}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.786868466172789, 6.82131473632503}, { 3.3333333333333335`, 0}, {0.9573736932345578, 1.364262947265006}, {2.8721210797036734`, 4.092788841795018}, { 0., 0.}, {5.744242159407347, 8.185577683590036}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {3.829494772938231, 5.457051789060024}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9147473864691156`, 2.728525894530012}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.786868466172789, 6.82131473632503}, {Rational[10, 3], 0}, {0.9573736932345578, 1.364262947265006}, {2.8721210797036734`, 4.092788841795018}, {0., 0.}, {5.744242159407347, 8.185577683590036}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.829494772938231, 5.457051789060024}}], BezierCurve[{{5, 0}, {1.9147473864691156`, 2.728525894530012}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.786868466172789, 6.82131473632503}, { 3.3333333333333335`, 0}, {0.9573736932345578, 1.364262947265006}, {2.8721210797036734`, 4.092788841795018}, {0., 0.}, {5.744242159407347, 8.185577683590036}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.829494772938231, 5.457051789060024}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.34007364028174447`, -0.9403988085836363}, { 0.9403988085836363, -0.34007364028174447`}}, {{-0.7686998383710454, 0.6396096923033052}, {-0.6396096923033052, -0.7686998383710454}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9684131654823167`, 2.6900670476898894`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.921032913705792, 6.725167619224723}, {Rational[10, 3], 0}, {0.9842065827411584, 1.3450335238449447`}, {2.952619748223475, 4.035100571534834}, { 0., 0.}, {5.90523949644695, 8.070201143069667}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.9368263309646334`, 5.380134095379779}}], BezierCurve[{{5, 0}, {1.9684131654823167`, 2.6900670476898894`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.921032913705792, 6.725167619224723}, {3.3333333333333335`, 0}, { 0.9842065827411584, 1.3450335238449447`}, {2.952619748223475, 4.035100571534834}, {0., 0.}, {5.90523949644695, 8.070201143069667}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.9368263309646334`, 5.380134095379779}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9684131654823167`, 2.6900670476898894`}, {Rational[5, 3], 0}, { Rational[20, 3], 0}, {4.921032913705792, 6.725167619224723}, { Rational[10, 3], 0}, {0.9842065827411584, 1.3450335238449447`}, {2.952619748223475, 4.035100571534834}, {0., 0.}, {5.90523949644695, 8.070201143069667}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.9368263309646334`, 5.380134095379779}}], BezierCurve[{{5, 0}, {1.9684131654823167`, 2.6900670476898894`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.921032913705792, 6.725167619224723}, {3.3333333333333335`, 0}, { 0.9842065827411584, 1.3450335238449447`}, {2.952619748223475, 4.035100571534834}, {0., 0.}, {5.90523949644695, 8.070201143069667}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.9368263309646334`, 5.380134095379779}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.3025629297920593, -0.9531294106865266}, { 0.9531294106865266, -0.3025629297920593}}, {{-0.8169113470312909, 0.5767632539365888}, {-0.5767632539365888, -0.8169113470312909}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {0.8858935386353272, 3.2134566667866067`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {2.214733846588318, 8.033641666966517}, {Rational[10, 3], 0}, {0.4429467693176636, 1.6067283333933033`}, {1.3288403079529907`, 4.82018500017991}, {0., 0.}, {2.6576806159059814`, 9.64037000035982}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 1.7717870772706543`, 6.426913333573213}}], BezierCurve[{{5, 0}, {0.8858935386353272, 3.2134566667866067`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 2.214733846588318, 8.033641666966517}, { 3.3333333333333335`, 0}, {0.4429467693176636, 1.6067283333933033`}, {1.3288403079529907`, 4.82018500017991}, {0., 0.}, {2.6576806159059814`, 9.64037000035982}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 1.7717870772706543`, 6.426913333573213}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {0.8858935386353272, 3.2134566667866067`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {2.214733846588318, 8.033641666966517}, {Rational[10, 3], 0}, {0.4429467693176636, 1.6067283333933033`}, {1.3288403079529907`, 4.82018500017991}, {0., 0.}, {2.6576806159059814`, 9.64037000035982}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 1.7717870772706543`, 6.426913333573213}}], BezierCurve[{{5, 0}, {0.8858935386353272, 3.2134566667866067`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {2.214733846588318, 8.033641666966517}, {3.3333333333333335`, 0}, { 0.4429467693176636, 1.6067283333933033`}, { 1.3288403079529907`, 4.82018500017991}, {0., 0.}, { 2.6576806159059814`, 9.64037000035982}, {10, 0}, {0, 0}, { 8.333333333333334, 0}, {1.7717870772706543`, 6.426913333573213}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.8587346748767521, -0.5124204896023566}, { 0.5124204896023566, -0.8587346748767521}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9056741582916659`, 2.734870584420854}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.764185395729165, 6.837176461052135}, {Rational[10, 3], 0}, {0.9528370791458329, 1.367435292210427}, {2.858511237437499, 4.102305876631281}, { 0., 0.}, {5.717022474874998, 8.204611753262562}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.8113483165833317`, 5.469741168841708}}], BezierCurve[{{5, 0}, {1.9056741582916659`, 2.734870584420854}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.764185395729165, 6.837176461052135}, { 3.3333333333333335`, 0}, {0.9528370791458329, 1.367435292210427}, {2.858511237437499, 4.102305876631281}, { 0., 0.}, {5.717022474874998, 8.204611753262562}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {3.8113483165833317`, 5.469741168841708}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9056741582916659`, 2.734870584420854}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.764185395729165, 6.837176461052135}, {Rational[10, 3], 0}, {0.9528370791458329, 1.367435292210427}, {2.858511237437499, 4.102305876631281}, { 0., 0.}, {5.717022474874998, 8.204611753262562}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.8113483165833317`, 5.469741168841708}}], BezierCurve[{{5, 0}, {1.9056741582916659`, 2.734870584420854}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.764185395729165, 6.837176461052135}, { 3.3333333333333335`, 0}, {0.9528370791458329, 1.367435292210427}, {2.858511237437499, 4.102305876631281}, { 0., 0.}, {5.717022474874998, 8.204611753262562}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {3.8113483165833317`, 5.469741168841708}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.34631308043548303`, -0.9381189958205124}, { 0.9381189958205124, -0.34631308043548303`}}, {{-0.7601345006385732, 0.6497657585152874}, {-0.6497657585152874, \ -0.7601345006385732}}}]]}, { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.5626765211097937`, 2.944342575428903}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.9066913027744845`, 7.360856438572258}, {Rational[10, 3], 0}, {0.7813382605548969, 1.4721712877144515`}, {2.344014781664691, 4.416513863143354}, {0., 0.}, {4.688029563329382, 8.833027726286709}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.1253530422195874`, 5.888685150857806}}], BezierCurve[{{5, 0}, {1.5626765211097937`, 2.944342575428903}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.9066913027744845`, 7.360856438572258}, { 3.3333333333333335`, 0}, {0.7813382605548969, 1.4721712877144515`}, {2.344014781664691, 4.416513863143354}, { 0., 0.}, {4.688029563329382, 8.833027726286709}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {3.1253530422195874`, 5.888685150857806}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.5626765211097937`, 2.944342575428903}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { 3.9066913027744845`, 7.360856438572258}, { Rational[10, 3], 0}, {0.7813382605548969, 1.4721712877144515`}, {2.344014781664691, 4.416513863143354}, {0., 0.}, {4.688029563329382, 8.833027726286709}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.1253530422195874`, 5.888685150857806}}], BezierCurve[{{5, 0}, {1.5626765211097937`, 2.944342575428903}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.9066913027744845`, 7.360856438572258}, { 3.3333333333333335`, 0}, {0.7813382605548969, 1.4721712877144515`}, {2.344014781664691, 4.416513863143354}, {0., 0.}, {4.688029563329382, 8.833027726286709}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.1253530422195874`, 5.888685150857806}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.5604475762669946, -0.8281899022908038}, { 0.8281899022908038, -0.5604475762669946}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.4732441461985317`, 2.9900941116966324`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.6831103654963293`, 7.475235279241581}, {Rational[10, 3], 0}, {0.7366220730992659, 1.4950470558483162`}, {2.2098662192977976`, 4.485141167544948}, {0., 0.}, {4.419732438595595, 8.970282335089896}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.9464882923970634`, 5.980188223393265}}], BezierCurve[{{5, 0}, {1.4732441461985317`, 2.9900941116966324`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {3.6831103654963293`, 7.475235279241581}, {3.3333333333333335`, 0}, { 0.7366220730992659, 1.4950470558483162`}, {2.2098662192977976`, 4.485141167544948}, {0., 0.}, {4.419732438595595, 8.970282335089896}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.9464882923970634`, 5.980188223393265}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.4732441461985317`, 2.9900941116966324`}, {Rational[5, 3], 0}, { Rational[20, 3], 0}, {3.6831103654963293`, 7.475235279241581}, {Rational[10, 3], 0}, {0.7366220730992659, 1.4950470558483162`}, {2.2098662192977976`, 4.485141167544948}, {0., 0.}, {4.419732438595595, 8.970282335089896}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.9464882923970634`, 5.980188223393265}}], BezierCurve[{{5, 0}, {1.4732441461985317`, 2.9900941116966324`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {3.6831103654963293`, 7.475235279241581}, {3.3333333333333335`, 0}, { 0.7366220730992659, 1.4950470558483162`}, { 2.2098662192977976`, 4.485141167544948}, {0., 0.}, { 4.419732438595595, 8.970282335089896}, {10, 0}, {0, 0}, { 8.333333333333334, 0}, {2.9464882923970634`, 5.980188223393265}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.6093193034245167, -0.792924956395157}, { 0.792924956395157, -0.6093193034245167}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9438492252275361`, 2.707870251820316}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.85962306306884, 6.76967562955079}, {Rational[10, 3], 0}, {0.9719246126137681, 1.353935125910158}, {2.915773837841304, 4.061805377730473}, { 0., 0.}, {5.831547675682608, 8.123610755460946}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.8876984504550722`, 5.415740503640632}}], BezierCurve[{{5, 0}, {1.9438492252275361`, 2.707870251820316}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.85962306306884, 6.76967562955079}, { 3.3333333333333335`, 0}, {0.9719246126137681, 1.353935125910158}, {2.915773837841304, 4.061805377730473}, { 0., 0.}, {5.831547675682608, 8.123610755460946}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {3.8876984504550722`, 5.415740503640632}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9438492252275361`, 2.707870251820316}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.85962306306884, 6.76967562955079}, {Rational[10, 3], 0}, {0.9719246126137681, 1.353935125910158}, {2.915773837841304, 4.061805377730473}, { 0., 0.}, {5.831547675682608, 8.123610755460946}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.8876984504550722`, 5.415740503640632}}], BezierCurve[{{5, 0}, {1.9438492252275361`, 2.707870251820316}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.85962306306884, 6.76967562955079}, { 3.3333333333333335`, 0}, {0.9719246126137681, 1.353935125910158}, {2.915773837841304, 4.061805377730473}, { 0., 0.}, {5.831547675682608, 8.123610755460946}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {3.8876984504550722`, 5.415740503640632}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.31986103412481554`, -0.9474644683831703}, { 0.9474644683831703, -0.31986103412481554`}}, {{-0.7953778376972072, 0.6061139293071188}, {-0.6061139293071188, -0.7953778376972072}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.246053225504517, 2.462997364860926}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.615133063761293, 6.1574934121523155`}, {Rational[10, 3], 0}, { 1.1230266127522586`, 1.231498682430463}, {3.3690798382567753`, 3.694496047291389}, {0., 0.}, {6.7381596765135505`, 7.388992094582778}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.492106451009034, 4.925994729721852}}], BezierCurve[{{5, 0}, {2.246053225504517, 2.462997364860926}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.615133063761293, 6.1574934121523155`}, { 3.3333333333333335`, 0}, {1.1230266127522586`, 1.231498682430463}, {3.3690798382567753`, 3.694496047291389}, { 0., 0.}, {6.7381596765135505`, 7.388992094582778}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.492106451009034, 4.925994729721852}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.246053225504517, 2.462997364860926}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.615133063761293, 6.1574934121523155`}, {Rational[10, 3], 0}, { 1.1230266127522586`, 1.231498682430463}, {3.3690798382567753`, 3.694496047291389}, {0., 0.}, {6.7381596765135505`, 7.388992094582778}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.492106451009034, 4.925994729721852}}], BezierCurve[{{5, 0}, {2.246053225504517, 2.462997364860926}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.615133063761293, 6.1574934121523155`}, { 3.3333333333333335`, 0}, {1.1230266127522586`, 1.231498682430463}, {3.3690798382567753`, 3.694496047291389}, {0., 0.}, {6.7381596765135505`, 7.388992094582778}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.492106451009034, 4.925994729721852}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.09194408347613586, -0.9957641716359016}, { 0.9957641716359016, -0.09194408347613586}}, {{-0.9830925710274667, 0.18310924823887326`}, {-0.18310924823887326`, \ -0.9830925710274667}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.13501494856304, 2.5598480971580075`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.3375373714076, 6.399620242895018}, {Rational[10, 3], 0}, {1.06750747428152, 1.2799240485790038`}, {3.20252242284456, 3.839772145737011}, { 0., 0.}, {6.40504484568912, 7.679544291474022}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {4.27002989712608, 5.119696194316015}}], BezierCurve[{{5, 0}, {2.13501494856304, 2.5598480971580075`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.3375373714076, 6.399620242895018}, { 3.3333333333333335`, 0}, {1.06750747428152, 1.2799240485790038`}, {3.20252242284456, 3.839772145737011}, { 0., 0.}, {6.40504484568912, 7.679544291474022}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.27002989712608, 5.119696194316015}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.13501494856304, 2.5598480971580075`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.3375373714076, 6.399620242895018}, {Rational[10, 3], 0}, {1.06750747428152, 1.2799240485790038`}, {3.20252242284456, 3.839772145737011}, { 0., 0.}, {6.40504484568912, 7.679544291474022}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {4.27002989712608, 5.119696194316015}}], BezierCurve[{{5, 0}, {2.13501494856304, 2.5598480971580075`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.3375373714076, 6.399620242895018}, { 3.3333333333333335`, 0}, {1.06750747428152, 1.2799240485790038`}, {3.20252242284456, 3.839772145737011}, { 0., 0.}, {6.40504484568912, 7.679544291474022}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.27002989712608, 5.119696194316015}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.17950801049422482`, -0.9837565116269398}, { 0.9837565116269398, -0.17950801049422482`}}, {{-0.9355537483368106, 0.3531843484257814}, {-0.3531843484257814, -0.9355537483368106}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.0945729554059922`, 3.148495062153489}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {2.736432388514981, 7.871237655383723}, {Rational[10, 3], 0}, {0.5472864777029961, 1.5742475310767445`}, {1.6418594331089884`, 4.722742593230233}, {0., 0.}, {3.283718866217977, 9.445485186460466}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.1891459108119844`, 6.296990124306978}}], BezierCurve[{{5, 0}, {1.0945729554059922`, 3.148495062153489}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 2.736432388514981, 7.871237655383723}, { 3.3333333333333335`, 0}, {0.5472864777029961, 1.5742475310767445`}, {1.6418594331089884`, 4.722742593230233}, {0., 0.}, {3.283718866217977, 9.445485186460466}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.1891459108119844`, 6.296990124306978}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.0945729554059922`, 3.148495062153489}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {2.736432388514981, 7.871237655383723}, {Rational[10, 3], 0}, {0.5472864777029961, 1.5742475310767445`}, {1.6418594331089884`, 4.722742593230233}, {0., 0.}, {3.283718866217977, 9.445485186460466}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.1891459108119844`, 6.296990124306978}}], BezierCurve[{{5, 0}, {1.0945729554059922`, 3.148495062153489}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 2.736432388514981, 7.871237655383723}, { 3.3333333333333335`, 0}, {0.5472864777029961, 1.5742475310767445`}, {1.6418594331089884`, 4.722742593230233}, {0., 0.}, {3.283718866217977, 9.445485186460466}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.1891459108119844`, 6.296990124306978}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.7843438081528825, -0.6203263581472532}, { 0.6203263581472532, -0.7843438081528825}}}]]}, { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.5137642997559424`, 2.969785978129655}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.784410749389856, 7.4244649453241385`}, {Rational[10, 3], 0}, { 0.7568821498779712, 1.4848929890648275`}, {2.2706464496339134`, 4.454678967194482}, {0., 0.}, {4.541292899267827, 8.909357934388964}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.027528599511885, 5.93957195625931}}], BezierCurve[{{5, 0}, {1.5137642997559424`, 2.969785978129655}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.784410749389856, 7.4244649453241385`}, { 3.3333333333333335`, 0}, {0.7568821498779712, 1.4848929890648275`}, {2.2706464496339134`, 4.454678967194482}, {0., 0.}, {4.541292899267827, 8.909357934388964}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.027528599511885, 5.93957195625931}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.5137642997559424`, 2.969785978129655}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {3.784410749389856, 7.4244649453241385`}, {Rational[10, 3], 0}, { 0.7568821498779712, 1.4848929890648275`}, { 2.2706464496339134`, 4.454678967194482}, {0., 0.}, { 4.541292899267827, 8.909357934388964}, {10, 0}, {0, 0}, { Rational[25, 3], 0}, {3.027528599511885, 5.93957195625931}}], BezierCurve[{{5, 0}, {1.5137642997559424`, 2.969785978129655}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 3.784410749389856, 7.4244649453241385`}, { 3.3333333333333335`, 0}, {0.7568821498779712, 1.4848929890648275`}, {2.2706464496339134`, 4.454678967194482}, {0., 0.}, {4.541292899267827, 8.909357934388964}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.027528599511885, 5.93957195625931}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.5875331760611923, -0.8092000784895217}, { 0.8092000784895217, -0.5875331760611923}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9172563258713675`, 2.7267635196359326`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.793140814678419, 6.816908799089831}, {Rational[10, 3], 0}, {0.9586281629356838, 1.3633817598179663`}, {2.875884488807051, 4.090145279453898}, { 0., 0.}, {5.751768977614102, 8.180290558907796}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.834512651742735, 5.453527039271865}}], BezierCurve[{{5, 0}, {1.9172563258713675`, 2.7267635196359326`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.793140814678419, 6.816908799089831}, {3.3333333333333335`, 0}, { 0.9586281629356838, 1.3633817598179663`}, {2.875884488807051, 4.090145279453898}, {0., 0.}, {5.751768977614102, 8.180290558907796}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.834512651742735, 5.453527039271865}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.9172563258713675`, 2.7267635196359326`}, {Rational[5, 3], 0}, { Rational[20, 3], 0}, {4.793140814678419, 6.816908799089831}, { Rational[10, 3], 0}, {0.9586281629356838, 1.3633817598179663`}, {2.875884488807051, 4.090145279453898}, {0., 0.}, {5.751768977614102, 8.180290558907796}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.834512651742735, 5.453527039271865}}], BezierCurve[{{5, 0}, {1.9172563258713675`, 2.7267635196359326`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.793140814678419, 6.816908799089831}, {3.3333333333333335`, 0}, { 0.9586281629356838, 1.3633817598179663`}, {2.875884488807051, 4.090145279453898}, {0., 0.}, {5.751768977614102, 8.180290558907796}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.834512651742735, 5.453527039271865}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.3383430725631206, -0.9410228292919077}, { 0.9410228292919077, -0.3383430725631206}}, {{-0.7710479304970939, 0.63677711082933}, {-0.63677711082933, -0.7710479304970939}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.347382555063572, 2.3666233860279347`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.86845638765893, 5.916558465069837}, {Rational[10, 3], 0}, {1.173691277531786, 1.1833116930139673`}, {3.521073832595358, 3.549935079041902}, { 0., 0.}, {7.042147665190716, 7.099870158083804}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {4.694765110127144, 4.733246772055869}}], BezierCurve[{{5, 0}, {2.347382555063572, 2.3666233860279347`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.86845638765893, 5.916558465069837}, { 3.3333333333333335`, 0}, {1.173691277531786, 1.1833116930139673`}, {3.521073832595358, 3.549935079041902}, { 0., 0.}, {7.042147665190716, 7.099870158083804}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.694765110127144, 4.733246772055869}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.347382555063572, 2.3666233860279347`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.86845638765893, 5.916558465069837}, {Rational[10, 3], 0}, {1.173691277531786, 1.1833116930139673`}, {3.521073832595358, 3.549935079041902}, {0., 0.}, {7.042147665190716, 7.099870158083804}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.694765110127144, 4.733246772055869}}], BezierCurve[{{5, 0}, {2.347382555063572, 2.3666233860279347`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.86845638765893, 5.916558465069837}, { 3.3333333333333335`, 0}, {1.173691277531786, 1.1833116930139673`}, {3.521073832595358, 3.549935079041902}, {0., 0.}, {7.042147665190716, 7.099870158083804}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.694765110127144, 4.733246772055869}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.008163125232978912, -0.999966681138142}, { 0.999966681138142, -0.008163125232978912}}, {{-0.9998667267728614, 0.016325706493873892`}, {-0.016325706493873892`, \ -0.9998667267728614}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.047604348261181, 3.164433004602148}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {2.6190108706529527`, 7.91108251150537}, {Rational[10, 3], 0}, {0.5238021741305905, 1.582216502301074}, {1.5714065223917715`, 4.746649506903221}, { 0., 0.}, {3.142813044783543, 9.493299013806443}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {2.095208696522362, 6.328866009204296}}], BezierCurve[{{5, 0}, {1.047604348261181, 3.164433004602148}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 2.6190108706529527`, 7.91108251150537}, { 3.3333333333333335`, 0}, {0.5238021741305905, 1.582216502301074}, {1.5714065223917715`, 4.746649506903221}, { 0., 0.}, {3.142813044783543, 9.493299013806443}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {2.095208696522362, 6.328866009204296}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.047604348261181, 3.164433004602148}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, { 2.6190108706529527`, 7.91108251150537}, { Rational[10, 3], 0}, {0.5238021741305905, 1.582216502301074}, {1.5714065223917715`, 4.746649506903221}, {0., 0.}, {3.142813044783543, 9.493299013806443}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 2.095208696522362, 6.328866009204296}}], BezierCurve[{{5, 0}, {1.047604348261181, 3.164433004602148}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 2.6190108706529527`, 7.91108251150537}, { 3.3333333333333335`, 0}, {0.5238021741305905, 1.582216502301074}, {1.5714065223917715`, 4.746649506903221}, {0., 0.}, {3.142813044783543, 9.493299013806443}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 2.095208696522362, 6.328866009204296}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.8024545233107679, -0.5967132795724327}, { 0.5967132795724327, -0.8024545233107679}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.8995225336938537`, 2.7391468115273403`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.748806334234635, 6.847867028818351}, {Rational[10, 3], 0}, {0.9497612668469269, 1.3695734057636701`}, {2.8492838005407806`, 4.10872021729101}, {0., 0.}, {5.698567601081561, 8.21744043458202}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.7990450673877074`, 5.478293623054681}}], BezierCurve[{{5, 0}, {1.8995225336938537`, 2.7391468115273403`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.748806334234635, 6.847867028818351}, {3.3333333333333335`, 0}, { 0.9497612668469269, 1.3695734057636701`}, {2.8492838005407806`, 4.10872021729101}, {0., 0.}, {5.698567601081561, 8.21744043458202}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.7990450673877074`, 5.478293623054681}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.8995225336938537`, 2.7391468115273403`}, {Rational[5, 3], 0}, { Rational[20, 3], 0}, {4.748806334234635, 6.847867028818351}, { Rational[10, 3], 0}, {0.9497612668469269, 1.3695734057636701`}, {2.8492838005407806`, 4.10872021729101}, {0., 0.}, {5.698567601081561, 8.21744043458202}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.7990450673877074`, 5.478293623054681}}], BezierCurve[{{5, 0}, {1.8995225336938537`, 2.7391468115273403`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.748806334234635, 6.847867028818351}, {3.3333333333333335`, 0}, { 0.9497612668469269, 1.3695734057636701`}, { 2.8492838005407806`, 4.10872021729101}, {0., 0.}, { 5.698567601081561, 8.21744043458202}, {10, 0}, {0, 0}, { 8.333333333333334, 0}, {3.7990450673877074`, 5.478293623054681}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.3505265459180708, -0.9365527964865337}, { 0.9365527964865337, -0.3505265459180708}}, {{-0.7542622812134931, 0.6565732336446691}, {-0.6565732336446691, -0.7542622812134931}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {0.1442977778468167, 3.3302085914278075`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {0.3607444446170417, 8.32552147856952}, {Rational[10, 3], 0}, {0.07214888892340834, 1.6651042957139037`}, {0.216446666770225, 4.995312887141711}, { 0., 0.}, {0.43289333354045, 9.990625774283423}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {0.2885955556936334, 6.660417182855615}}], BezierCurve[{{5, 0}, {0.1442977778468167, 3.3302085914278075`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 0.3607444446170417, 8.32552147856952}, { 3.3333333333333335`, 0}, {0.07214888892340834, 1.6651042957139037`}, {0.216446666770225, 4.995312887141711}, { 0., 0.}, {0.43289333354045, 9.990625774283423}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {0.2885955556936334, 6.660417182855615}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {0.1442977778468167, 3.3302085914278075`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {0.3607444446170417, 8.32552147856952}, {Rational[10, 3], 0}, { 0.07214888892340834, 1.6651042957139037`}, {0.216446666770225, 4.995312887141711}, {0., 0.}, {0.43289333354045, 9.990625774283423}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 0.2885955556936334, 6.660417182855615}}], BezierCurve[{{5, 0}, {0.1442977778468167, 3.3302085914278075`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {0.3607444446170417, 8.32552147856952}, {3.3333333333333335`, 0}, { 0.07214888892340834, 1.6651042957139037`}, {0.216446666770225, 4.995312887141711}, {0., 0.}, {0.43289333354045, 9.990625774283423}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 0.2885955556936334, 6.660417182855615}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.9962520672355247, -0.0864975059116938}, { 0.0864975059116938, -0.9962520672355247}}}]]}, { GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.8500680615172242`, 2.7727890794045287`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.625170153793061, 6.931972698511322}, {Rational[10, 3], 0}, {0.9250340307586121, 1.3863945397022643`}, {2.7751020922758363`, 4.159183619106793}, {0., 0.}, {5.5502041845516725`, 8.318367238213586}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.7001361230344485`, 5.545578158809057}}], BezierCurve[{{5, 0}, {1.8500680615172242`, 2.7727890794045287`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.625170153793061, 6.931972698511322}, {3.3333333333333335`, 0}, { 0.9250340307586121, 1.3863945397022643`}, {2.7751020922758363`, 4.159183619106793}, {0., 0.}, {5.5502041845516725`, 8.318367238213586}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.7001361230344485`, 5.545578158809057}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.8500680615172242`, 2.7727890794045287`}, {Rational[5, 3], 0}, { Rational[20, 3], 0}, {4.625170153793061, 6.931972698511322}, { Rational[10, 3], 0}, {0.9250340307586121, 1.3863945397022643`}, {2.7751020922758363`, 4.159183619106793}, {0., 0.}, {5.5502041845516725`, 8.318367238213586}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.7001361230344485`, 5.545578158809057}}], BezierCurve[{{5, 0}, {1.8500680615172242`, 2.7727890794045287`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {4.625170153793061, 6.931972698511322}, {3.3333333333333335`, 0}, { 0.9250340307586121, 1.3863945397022643`}, { 2.7751020922758363`, 4.159183619106793}, {0., 0.}, { 5.5502041845516725`, 8.318367238213586}, {10, 0}, {0, 0}, { 8.333333333333334, 0}, {3.7001361230344485`, 5.545578158809057}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.38390467019570207`, -0.9233727330834116}, { 0.9233727330834116, -0.38390467019570207`}}, {{-0.7052344084038584, 0.7089742091241823}, {-0.7089742091241823, -0.7052344084038584}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.0286624653606897`, 2.64492716586824}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.071656163401724, 6.6123179146706}, {Rational[10, 3], 0}, {1.0143312326803449`, 1.32246358293412}, {3.0429936980410344`, 3.9673907488023596`}, {0., 0.}, {6.085987396082069, 7.934781497604719}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.0573249307213795`, 5.28985433173648}}], BezierCurve[{{5, 0}, {2.0286624653606897`, 2.64492716586824}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.071656163401724, 6.6123179146706}, { 3.3333333333333335`, 0}, {1.0143312326803449`, 1.32246358293412}, {3.0429936980410344`, 3.9673907488023596`}, {0., 0.}, {6.085987396082069, 7.934781497604719}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.0573249307213795`, 5.28985433173648}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.0286624653606897`, 2.64492716586824}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.071656163401724, 6.6123179146706}, {Rational[10, 3], 0}, {1.0143312326803449`, 1.32246358293412}, {3.0429936980410344`, 3.9673907488023596`}, {0., 0.}, {6.085987396082069, 7.934781497604719}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.0573249307213795`, 5.28985433173648}}], BezierCurve[{{5, 0}, {2.0286624653606897`, 2.64492716586824}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.071656163401724, 6.6123179146706}, { 3.3333333333333335`, 0}, {1.0143312326803449`, 1.32246358293412}, {3.0429936980410344`, 3.9673907488023596`}, {0., 0.}, {6.085987396082069, 7.934781497604719}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.0573249307213795`, 5.28985433173648}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.2592151482946039, -0.9658196037017506}, { 0.9658196037017506, -0.2592151482946039}}, {{-0.865615013789213, 0.5007101435987698}, {-0.5007101435987698, -0.865615013789213}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.2740618403248742`, 2.437161024119941}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.685154600812186, 6.092902560299852}, {Rational[10, 3], 0}, {1.1370309201624371`, 1.2185805120599704`}, {3.411092760487311, 3.655741536179911}, {0., 0.}, {6.822185520974622, 7.311483072359822}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.5481236806497485`, 4.874322048239882}}], BezierCurve[{{5, 0}, {2.2740618403248742`, 2.437161024119941}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.685154600812186, 6.092902560299852}, { 3.3333333333333335`, 0}, {1.1370309201624371`, 1.2185805120599704`}, {3.411092760487311, 3.655741536179911}, { 0., 0.}, {6.822185520974622, 7.311483072359822}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {4.5481236806497485`, 4.874322048239882}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.2740618403248742`, 2.437161024119941}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.685154600812186, 6.092902560299852}, {Rational[10, 3], 0}, { 1.1370309201624371`, 1.2185805120599704`}, {3.411092760487311, 3.655741536179911}, {0., 0.}, {6.822185520974622, 7.311483072359822}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.5481236806497485`, 4.874322048239882}}], BezierCurve[{{5, 0}, {2.2740618403248742`, 2.437161024119941}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.685154600812186, 6.092902560299852}, { 3.3333333333333335`, 0}, {1.1370309201624371`, 1.2185805120599704`}, {3.411092760487311, 3.655741536179911}, {0., 0.}, {6.822185520974622, 7.311483072359822}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.5481236806497485`, 4.874322048239882}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.06915569434808462, -0.9976058790620844}, { 0.9976058790620844, -0.06915569434808462}}, {{-0.9904349798784686, 0.13798025450453957`}, {-0.13798025450453957`, \ -0.9904349798784686}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.8688449556420714`, 2.760168408427699}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.672112389105179, 6.900421021069248}, {Rational[10, 3], 0}, {0.9344224778210357, 1.3800842042138495`}, {2.803267433463107, 4.140252612641548}, { 0., 0.}, {5.606534866926214, 8.280505225283097}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, {3.737689911284143, 5.520336816855398}}], BezierCurve[{{5, 0}, {1.8688449556420714`, 2.760168408427699}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.672112389105179, 6.900421021069248}, { 3.3333333333333335`, 0}, {0.9344224778210357, 1.3800842042138495`}, {2.803267433463107, 4.140252612641548}, { 0., 0.}, {5.606534866926214, 8.280505225283097}, {10, 0}, {0, 0}, {8.333333333333334, 0}, {3.737689911284143, 5.520336816855398}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {1.8688449556420714`, 2.760168408427699}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {4.672112389105179, 6.900421021069248}, {Rational[10, 3], 0}, {0.9344224778210357, 1.3800842042138495`}, {2.803267433463107, 4.140252612641548}, {0., 0.}, {5.606534866926214, 8.280505225283097}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 3.737689911284143, 5.520336816855398}}], BezierCurve[{{5, 0}, {1.8688449556420714`, 2.760168408427699}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 4.672112389105179, 6.900421021069248}, { 3.3333333333333335`, 0}, {0.9344224778210357, 1.3800842042138495`}, {2.803267433463107, 4.140252612641548}, {0., 0.}, {5.606534866926214, 8.280505225283097}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 3.737689911284143, 5.520336816855398}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.3713353357188133, -0.9284988252262877}, { 0.9284988252262877, -0.3713353357188133}}, {{-0.7242201368931924, 0.6895688459598546}, {-0.6895688459598546, -0.7242201368931924}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.3188269630774956`, 2.3946090759069447`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.7970674076937385`, 5.986522689767362}, {Rational[10, 3], 0}, { 1.1594134815387478`, 1.1973045379534724`}, {3.478240444616243, 3.5919136138604166`}, {0., 0.}, {6.956480889232486, 7.183827227720833}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.637653926154991, 4.789218151813889}}], BezierCurve[{{5, 0}, {2.3188269630774956`, 2.3946090759069447`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {5.7970674076937385`, 5.986522689767362}, {3.3333333333333335`, 0}, { 1.1594134815387478`, 1.1973045379534724`}, {3.478240444616243, 3.5919136138604166`}, {0., 0.}, {6.956480889232486, 7.183827227720833}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.637653926154991, 4.789218151813889}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.3188269630774956`, 2.3946090759069447`}, {Rational[5, 3], 0}, { Rational[20, 3], 0}, {5.7970674076937385`, 5.986522689767362}, {Rational[10, 3], 0}, { 1.1594134815387478`, 1.1973045379534724`}, {3.478240444616243, 3.5919136138604166`}, {0., 0.}, {6.956480889232486, 7.183827227720833}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.637653926154991, 4.789218151813889}}], BezierCurve[{{5, 0}, {2.3188269630774956`, 2.3946090759069447`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {5.7970674076937385`, 5.986522689767362}, {3.3333333333333335`, 0}, { 1.1594134815387478`, 1.1973045379534724`}, {3.478240444616243, 3.5919136138604166`}, {0., 0.}, {6.956480889232486, 7.183827227720833}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.637653926154991, 4.789218151813889}}]]]}}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, {{{1., 0}, { 0, 1.}}, {{-0.03214747275486386, -0.9994831364237594}, { 0.9994831364237594, -0.03214747275486386}}, {{-0.9979330799909506, 0.06426171379425737}, {-0.06426171379425737, \ -0.9979330799909506}}}]], GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], {FaceForm[RGBColor[ 0.27823319999999996`, 0.04860976, 0.5418926000000001]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.033907447904263, 2.6408959851669054`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.084768619760657, 6.602239962917263}, {Rational[10, 3], 0}, {1.0169537239521316`, 1.3204479925834527`}, {3.0508611718563943`, 3.961343977750358}, {0., 0.}, {6.1017223437127885`, 7.922687955500716}, {10, 0}, {0, 0}, {Rational[25, 3], 0}, { 4.067814895808526, 5.281791970333811}}], BezierCurve[{{5, 0}, {2.033907447904263, 2.6408959851669054`}, { 1.6666666666666667`, 0}, {6.666666666666667, 0}, { 5.084768619760657, 6.602239962917263}, { 3.3333333333333335`, 0}, {1.0169537239521316`, 1.3204479925834527`}, {3.0508611718563943`, 3.961343977750358}, {0., 0.}, {6.1017223437127885`, 7.922687955500716}, {10, 0}, {0, 0}, {8.333333333333334, 0}, { 4.067814895808526, 5.281791970333811}}]]]}}, GeometricTransformationBox[ {GrayLevel[0.25], {FaceForm[RGBColor[0.2635842, 0.22089488000000002`, 0.7407538]], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {2.033907447904263, 2.6408959851669054`}, { Rational[5, 3], 0}, {Rational[20, 3], 0}, {5.084768619760657, 6.602239962917263}, {Rational[10, 3], 0}, { 1.0169537239521316`, 1.3204479925834527`}, { 3.0508611718563943`, 3.961343977750358}, {0., 0.}, { 6.1017223437127885`, 7.922687955500716}, {10, 0}, {0, 0}, { Rational[25, 3], 0}, {4.067814895808526, 5.281791970333811}}], BezierCurve[{{5, 0}, {2.033907447904263, 2.6408959851669054`}, {1.6666666666666667`, 0}, { 6.666666666666667, 0}, {5.084768619760657, 6.602239962917263}, {3.3333333333333335`, 0}, { 1.0169537239521316`, 1.3204479925834527`}, { 3.0508611718563943`, 3.961343977750358}, {0., 0.}, { 6.1017223437127885`, 7.922687955500716}, {10, 0}, {0, 0}, { 8.333333333333334, 0}, {4.067814895808526, 5.281791970333811}}]]]}}, {{{1, 0}, {0, -1}}, {0, 0}}]}, {{{ 1., 0}, {0, 1.}}, {{-0.2553796888047221, -0.9668408424068582}, { 0.9668408424068582, -0.2553796888047221}}, {{-0.8695624290920065, 0.4938230269151177}, {-0.4938230269151177, -0.8695624290920065}}}]]} }, AutoDelete->False, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], StripOnInput->False, Magnification->0.5 Inherited]], "Output", TaggingRules->{}, CellChangeTimes->{{3.779549811944995*^9, 3.7795499475882673`*^9}, 3.77954997929321*^9, 3.7795507186420794`*^9, 3.7795508536919327`*^9, 3.77955207934709*^9, 3.779554208437293*^9, 3.779554778040555*^9, 3.7795548242043867`*^9, 3.7795550471890697`*^9, 3.7803523284071836`*^9, 3.780396926665358*^9, 3.780397447295061*^9, 3.780399860278551*^9, 3.780400234814337*^9, 3.780400374159281*^9, 3.7804011289042664`*^9, 3.780401291533985*^9, 3.78040181268211*^9, 3.780402267250622*^9, 3.7804023959639874`*^9, 3.848507710029664*^9, 3.859193972585576*^9}, CellLabel->"Out[2]=", CellID->573544055] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Colored mandala images by blending", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7792158636693687`*^9, 3.779215891490663*^9}}, CellID->305235573], Cell["Make a list of random mandalas:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7792112351418953`*^9, 3.779211246425539*^9}}, CellID->390887847], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "6567", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"mandalas", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", "]"}], ",", "36"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Magnify", "[", RowBox[{"mandalas", ",", "0.3"}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.779211179985547*^9, 3.779211189658453*^9}, { 3.7792112480793667`*^9, 3.7792113274661694`*^9}, {3.779211358174468*^9, 3.779211375814724*^9}, {3.779211520673983*^9, 3.779211520784211*^9}, { 3.779216163680296*^9, 3.779216164060556*^9}, 3.848520713996748*^9}, CellLabel->"In[1]:=", CellID->358709196], Cell[BoxData[ StyleBox[ RowBox[{"{", RowBox[{ GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{ Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {Rational[5, 3], 0}, {10, 0}, { Rational[25, 3], 0}, {5, 0}, {0, 0}}, {{7.216878364870323, 4.166666666666667}, {8.660254037844386, 5}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {4.330127018922193, 2.5}, { 6.666666666666667, 0}, {1.6666666666666667`, 0}, {10, 0}, { 8.333333333333334, 0}, {5, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{ Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {Rational[5, 3], 0}, {10, 0}, { Rational[25, 3], 0}, {5, 0}, {0, 0}}, {{7.216878364870323, 4.166666666666667}, {8.660254037844386, 5}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}, {3.3333333333333335`, 0}, {5.773502691896258, 3.3333333333333335`}, {4.330127018922193, 2.5}, { 6.666666666666667, 0}, {1.6666666666666667`, 0}, {10, 0}, { 8.333333333333334, 0}, {5, 0}, {0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {5, 0}, {0, 0}, { 5 3^Rational[1, 2], 5}, {Rational[5, 3], 0}, { Rational[10, 3], 0}}], BezierCurve[{{8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, {0, 0}, {6.666666666666667, 0}, { 1.4433756729740645`, 0.8333333333333334}, {10, 0}, { 7.216878364870323, 4.166666666666667}, {4.330127018922193, 2.5}, { 2.886751345948129, 1.6666666666666667`}, {5, 0}, {0, 0}, { 8.660254037844386, 5}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {5, 0}, {0, 0}, { 5 3^Rational[1, 2], 5}, {Rational[5, 3], 0}, { Rational[10, 3], 0}}], BezierCurve[{{8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, {0, 0}, {6.666666666666667, 0}, { 1.4433756729740645`, 0.8333333333333334}, {10, 0}, { 7.216878364870323, 4.166666666666667}, {4.330127018922193, 2.5}, {2.886751345948129, 1.6666666666666667`}, {5, 0}, {0, 0}, { 8.660254037844386, 5}, {1.6666666666666667`, 0}, { 3.3333333333333335`, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{5, 0}, {0, 0}, {Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 3], 0}, {10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}}, {{5, 0}, {0, 0}, {3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {1.6666666666666667`, 0}, {10, 0}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, { 8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{5, 0}, {0, 0}, {Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 3], 0}, {10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}}, {{ 5, 0}, {0, 0}, {3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {1.6666666666666667`, 0}, {10, 0}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, {8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, {0, 0}, {10, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {Rational[5, 3], 0}, {0, 0}, { Rational[25, 3], 0}}, {{2.886751345948129, 1.6666666666666667`}, { 1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {6.666666666666667, 0}, {3.3333333333333335`, 0}, { 5.773502691896258, 3.3333333333333335`}, {5, 0}, {0, 0}, {10, 0}, { 7.216878364870323, 4.166666666666667}, {8.660254037844386, 5}, { 1.6666666666666667`, 0}, {0, 0}, {8.333333333333334, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, {Rational[10, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, {0, 0}, {10, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {Rational[5, 3], 0}, {0, 0}, { Rational[25, 3], 0}}, {{2.886751345948129, 1.6666666666666667`}, { 1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {6.666666666666667, 0}, {3.3333333333333335`, 0}, { 5.773502691896258, 3.3333333333333335`}, {5, 0}, {0, 0}, {10, 0}, {7.216878364870323, 4.166666666666667}, { 8.660254037844386, 5}, {1.6666666666666667`, 0}, {0, 0}, { 8.333333333333334, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[20, 3], 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {Rational[25, 3], 0}, {0, 0}, {5, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{6.666666666666667, 0}, { 10, 0}, {4.330127018922193, 2.5}, {1.6666666666666667`, 0}, { 8.333333333333334, 0}, {0, 0}, {5, 0}, {7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, { 5.773502691896258, 3.3333333333333335`}, { 3.3333333333333335`, 0}, {0, 0}, {8.660254037844386, 5}, { 2.886751345948129, 1.6666666666666667`}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[20, 3], 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, {Rational[25, 3], 0}, {0, 0}, {5, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { 5 3^Rational[-1, 2], Rational[5, 3]}}, {{6.666666666666667, 0}, { 10, 0}, {4.330127018922193, 2.5}, {1.6666666666666667`, 0}, { 8.333333333333334, 0}, {0, 0}, {5, 0}, {7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, { 5.773502691896258, 3.3333333333333335`}, { 3.3333333333333335`, 0}, {0, 0}, {8.660254037844386, 5}, { 2.886751345948129, 1.6666666666666667`}}]]}, {{{1, 0}, {0, -1}}, { 0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { 5 3^Rational[1, 2], 5}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[25, 3], 0}}], BezierCurve[{{6.666666666666667, 0}, {4.330127018922193, 2.5}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {5, 0}, { 1.4433756729740645`, 0.8333333333333334}, {10, 0}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, {8.660254037844386, 5}, { 0, 0}, {5.773502691896258, 3.3333333333333335`}, { 7.216878364870323, 4.166666666666667}, { 8.333333333333334, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {Rational[5, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { 5 3^Rational[1, 2], 5}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[25, 3], 0}}], BezierCurve[{{6.666666666666667, 0}, {4.330127018922193, 2.5}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {5, 0}, { 1.4433756729740645`, 0.8333333333333334}, {10, 0}, {0, 0}, { 2.886751345948129, 1.6666666666666667`}, { 8.660254037844386, 5}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {7.216878364870323, 4.166666666666667}, { 8.333333333333334, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{5, 0}, {Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, {10, 0}, {Rational[10, 3], 0}}, {{5, 0}, { 1.6666666666666667`, 0}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}, {8.660254037844386, 5}, {0, 0}, { 7.216878364870323, 4.166666666666667}, {4.330127018922193, 2.5}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 0, 0}, {10, 0}, {3.3333333333333335`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{5, 0}, {Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, {10, 0}, {Rational[10, 3], 0}}, {{5, 0}, { 1.6666666666666667`, 0}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}, {8.660254037844386, 5}, {0, 0}, { 7.216878364870323, 4.166666666666667}, {4.330127018922193, 2.5}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 0, 0}, {10, 0}, {3.3333333333333335`, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{0, 0}, {Rational[25, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[20, 3], 0}, {10, 0}, {Rational[5, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}}, {{0, 0}, {8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {6.666666666666667, 0}, {10, 0}, { 1.6666666666666667`, 0}, {5.773502691896258, 3.3333333333333335`}, {7.216878364870323, 4.166666666666667}, { 8.660254037844386, 5}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {5, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{0, 0}, {Rational[25, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[20, 3], 0}, {10, 0}, {Rational[5, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}}, {{0, 0}, {8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {6.666666666666667, 0}, {10, 0}, { 1.6666666666666667`, 0}, {5.773502691896258, 3.3333333333333335`}, {7.216878364870323, 4.166666666666667}, { 8.660254037844386, 5}, {3.3333333333333335`, 0}, { 1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, {5, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[1, 2], 5}, {Rational[5, 3], 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}}], BezierCurve[{{5, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {4.330127018922193, 2.5}, {3.3333333333333335`, 0}, {6.666666666666667, 0}, { 8.660254037844386, 5}, {1.6666666666666667`, 0}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}, { 10, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[1, 2], 5}, {Rational[5, 3], 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}}], BezierCurve[{{5, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}, {1.4433756729740645`, 0.8333333333333334}, { 0, 0}, {5.773502691896258, 3.3333333333333335`}, { 4.330127018922193, 2.5}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {8.660254037844386, 5}, { 1.6666666666666667`, 0}, {8.333333333333334, 0}, { 2.886751345948129, 1.6666666666666667`}, {10, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, {0, 0}, { Rational[5, 3], 0}, {5, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}}, {{10, 0}, { 3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, { 4.330127018922193, 2.5}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {0, 0}, {1.6666666666666667`, 0}, {5, 0}, { 2.886751345948129, 1.6666666666666667`}, {5.773502691896258, 3.3333333333333335`}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, {0, 0}, { Rational[5, 3], 0}, {5, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}}, {{10, 0}, { 3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, { 8.660254037844386, 5}, {1.4433756729740645`, 0.8333333333333334}, {4.330127018922193, 2.5}, { 8.333333333333334, 0}, {6.666666666666667, 0}, {0, 0}, { 1.6666666666666667`, 0}, {5, 0}, {2.886751345948129, 1.6666666666666667`}, {5.773502691896258, 3.3333333333333335`}, { 0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, { 5 3^Rational[1, 2], 5}, {10, 0}, {Rational[10, 3], 0}, { Rational[25, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}}, {{1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 0, 0}, {4.330127018922193, 2.5}, {5, 0}, {8.660254037844386, 5}, { 10, 0}, {3.3333333333333335`, 0}, {8.333333333333334, 0}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, { 5 3^Rational[1, 2], 5}, {10, 0}, {Rational[10, 3], 0}, { Rational[25, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}}, {{1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 0, 0}, {4.330127018922193, 2.5}, {5, 0}, {8.660254037844386, 5}, { 10, 0}, {3.3333333333333335`, 0}, {8.333333333333334, 0}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, {10, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {8.333333333333334, 0}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, { 3.3333333333333335`, 0}, {0, 0}, {4.330127018922193, 2.5}, {0, 0}, {10, 0}, {5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, { 7.216878364870323, 4.166666666666667}, { 1.6666666666666667`, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5 3^Rational[1, 2], 5}, {Rational[25, 3], 0}, {5, 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[10, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, {10, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[20, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}}], BezierCurve[{{8.660254037844386, 5}, {8.333333333333334, 0}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, { 3.3333333333333335`, 0}, {0, 0}, {4.330127018922193, 2.5}, {0, 0}, {10, 0}, {5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, { 1.6666666666666667`, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{0, 0}, {Rational[25, 3], 0}, {Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { Rational[10, 3], 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {5, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[1, 2], 5}}, {{0, 0}, {8.333333333333334, 0}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 0, 0}, {3.3333333333333335`, 0}, {10, 0}, {4.330127018922193, 2.5}, {2.886751345948129, 1.6666666666666667`}, { 1.4433756729740645`, 0.8333333333333334}, {6.666666666666667, 0}, { 5, 0}, {5.773502691896258, 3.3333333333333335`}, { 8.660254037844386, 5}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{0, 0}, {Rational[25, 3], 0}, {Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { Rational[10, 3], 0}, {10, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}, {5, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[1, 2], 5}}, {{0, 0}, {8.333333333333334, 0}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 0, 0}, {3.3333333333333335`, 0}, {10, 0}, {4.330127018922193, 2.5}, {2.886751345948129, 1.6666666666666667`}, { 1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}, {5, 0}, {5.773502691896258, 3.3333333333333335`}, {8.660254037844386, 5}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[5, 3], 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[10, 3], 0}, { Rational[25, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, {0, 0}}, {{1.6666666666666667`, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}, {8.660254037844386, 5}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {10, 0}, {0, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[5, 3], 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[10, 3], 0}, { Rational[25, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {10, 0}, {0, 0}}, {{1.6666666666666667`, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, { 4.330127018922193, 2.5}, {6.666666666666667, 0}, { 7.216878364870323, 4.166666666666667}, {8.660254037844386, 5}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {10, 0}, {0, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {10, 0}, {5, 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}}], BezierCurve[{{0, 0}, {5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {6.666666666666667, 0}, {2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, { 8.660254037844386, 5}, {7.216878364870323, 4.166666666666667}, { 3.3333333333333335`, 0}, {10, 0}, {5, 0}, {0, 0}, { 1.4433756729740645`, 0.8333333333333334}, { 1.6666666666666667`, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {10, 0}, {5, 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}}], BezierCurve[{{0, 0}, {5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {6.666666666666667, 0}, { 2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, {8.660254037844386, 5}, {7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, {10, 0}, {5, 0}, { 0, 0}, {1.4433756729740645`, 0.8333333333333334}, { 1.6666666666666667`, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, {10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, { Rational[5, 3], 0}}], BezierCurve[{{0, 0}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {7.216878364870323, 4.166666666666667}, { 2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 10, 0}, {4.330127018922193, 2.5}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, { 1.6666666666666667`, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[10, 3], 0}, { 5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, {10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, { Rational[5, 3], 0}}], BezierCurve[{{0, 0}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {7.216878364870323, 4.166666666666667}, { 2.886751345948129, 1.6666666666666667`}, { 6.666666666666667, 0}, {10, 0}, {4.330127018922193, 2.5}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 5.773502691896258, 3.3333333333333335`}, { 8.333333333333334, 0}, {1.6666666666666667`, 0}}]]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[25, 3], 0}, { 5 3^Rational[1, 2], 5}, {5, 0}, {10, 0}, {Rational[5, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}}, {{ 7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, { 0, 0}, {2.886751345948129, 1.6666666666666667`}, { 8.333333333333334, 0}, {8.660254037844386, 5}, {5, 0}, {10, 0}, { 1.6666666666666667`, 0}, {5.773502691896258, 3.3333333333333335`}, {6.666666666666667, 0}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {4.330127018922193, 2.5}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[25, 3], 0}, { 5 3^Rational[1, 2], 5}, {5, 0}, {10, 0}, {Rational[5, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}}, {{ 7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, { 0, 0}, {2.886751345948129, 1.6666666666666667`}, { 8.333333333333334, 0}, {8.660254037844386, 5}, {5, 0}, {10, 0}, { 1.6666666666666667`, 0}, {5.773502691896258, 3.3333333333333335`}, {6.666666666666667, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 4.330127018922193, 2.5}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {Rational[20, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}, { Rational[25, 3], 0}, {Rational[10, 3], 0}, {10, 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}}], BezierCurve[{{5, 0}, {6.666666666666667, 0}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, { 8.333333333333334, 0}, {3.3333333333333335`, 0}, {10, 0}, { 8.660254037844386, 5}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {7.216878364870323, 4.166666666666667}, {2.886751345948129, 1.6666666666666667`}, { 4.330127018922193, 2.5}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{5, 0}, {Rational[20, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[5, 3], 0}, { Rational[25, 3], 0}, {Rational[10, 3], 0}, {10, 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}}], BezierCurve[{{5, 0}, {6.666666666666667, 0}, {5.773502691896258, 3.3333333333333335`}, {1.6666666666666667`, 0}, { 8.333333333333334, 0}, {3.3333333333333335`, 0}, {10, 0}, { 8.660254037844386, 5}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {0, 0}, {7.216878364870323, 4.166666666666667}, {2.886751345948129, 1.6666666666666667`}, { 4.330127018922193, 2.5}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{5 3^Rational[1, 2], 5}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { Rational[5, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[10, 3], 0}, { Rational[25, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}}, {{ 8.660254037844386, 5}, {6.666666666666667, 0}, {7.216878364870323, 4.166666666666667}, {0, 0}, {1.6666666666666667`, 0}, {5, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {10, 0}, { 5.773502691896258, 3.3333333333333335`}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {4.330127018922193, 2.5}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{5 3^Rational[1, 2], 5}, {Rational[20, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {0, 0}, { Rational[5, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[10, 3], 0}, { Rational[25, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}}, {{ 8.660254037844386, 5}, {6.666666666666667, 0}, {7.216878364870323, 4.166666666666667}, {0, 0}, {1.6666666666666667`, 0}, {5, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, {10, 0}, { 5.773502691896258, 3.3333333333333335`}, {2.886751345948129, 1.6666666666666667`}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {4.330127018922193, 2.5}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[20, 3], 0}, {5 3^Rational[1, 2], 5}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { Rational[25, 3], 0}, {Rational[5, 3], 0}, {5, 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}}], BezierCurve[{{4.330127018922193, 2.5}, {3.3333333333333335`, 0}, { 5.773502691896258, 3.3333333333333335`}, {6.666666666666667, 0}, { 8.660254037844386, 5}, {0, 0}, {7.216878364870323, 4.166666666666667}, {10, 0}, {8.333333333333334, 0}, { 1.6666666666666667`, 0}, {5, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {1.4433756729740645`, 0.8333333333333334}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[10, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[20, 3], 0}, {5 3^Rational[1, 2], 5}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { Rational[25, 3], 0}, {Rational[5, 3], 0}, {5, 0}, {0, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}}], BezierCurve[{{4.330127018922193, 2.5}, {3.3333333333333335`, 0}, { 5.773502691896258, 3.3333333333333335`}, { 6.666666666666667, 0}, {8.660254037844386, 5}, {0, 0}, { 7.216878364870323, 4.166666666666667}, {10, 0}, { 8.333333333333334, 0}, {1.6666666666666667`, 0}, {5, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, { 1.4433756729740645`, 0.8333333333333334}}]]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { 5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[5, 3], 0}}, {{10, 0}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {0, 0}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, {5, 0}, { 2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 1.6666666666666667`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{10, 0}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { 5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[25, 3], 0}, {5, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, { Rational[5, 3], 0}}, {{10, 0}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {0, 0}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {5.773502691896258, 3.3333333333333335`}, {8.333333333333334, 0}, {5, 0}, { 2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 1.4433756729740645`, 0.8333333333333334}, {0, 0}, { 1.6666666666666667`, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[20, 3], 0}, {Rational[25, 3], 0}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, {10, 0}}, {{5, 0}, { 5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 6.666666666666667, 0}, {8.333333333333334, 0}, { 3.3333333333333335`, 0}, {1.4433756729740645`, 0.8333333333333334}, {2.886751345948129, 1.6666666666666667`}, { 4.330127018922193, 2.5}, {0, 0}, {8.660254037844386, 5}, {0, 0}, { 10, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{5, 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[20, 3], 0}, {Rational[25, 3], 0}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, {10, 0}}, {{5, 0}, { 5.773502691896258, 3.3333333333333335`}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 6.666666666666667, 0}, {8.333333333333334, 0}, { 3.3333333333333335`, 0}, {1.4433756729740645`, 0.8333333333333334}, {2.886751345948129, 1.6666666666666667`}, { 4.330127018922193, 2.5}, {0, 0}, {8.660254037844386, 5}, {0, 0}, { 10, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{0, 0}, {Rational[10, 3], 0}, {Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[5, 3], 0}, {5, 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}}, {{0, 0}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, { 2.886751345948129, 1.6666666666666667`}, {0, 0}, { 1.6666666666666667`, 0}, {5, 0}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {4.330127018922193, 2.5}, { 10, 0}, {1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{0, 0}, {Rational[10, 3], 0}, {Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[5, 3], 0}, {5, 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[20, 3], 0}}, {{0, 0}, {3.3333333333333335`, 0}, { 8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, { 2.886751345948129, 1.6666666666666667`}, {0, 0}, { 1.6666666666666667`, 0}, {5, 0}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, {4.330127018922193, 2.5}, { 10, 0}, {1.4433756729740645`, 0.8333333333333334}, { 6.666666666666667, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[5, 3], 0}, {0, 0}, {0, 0}, {Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[25, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}}, {{ 1.6666666666666667`, 0}, {0, 0}, {0, 0}, { 3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, { 8.333333333333334, 0}, {5, 0}, {4.330127018922193, 2.5}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, {8.660254037844386, 5}, { 6.666666666666667, 0}, {5.773502691896258, 3.3333333333333335`}, { 1.4433756729740645`, 0.8333333333333334}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[5, 3], 0}, {0, 0}, {0, 0}, {Rational[10, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[25, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {10, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}}, {{ 1.6666666666666667`, 0}, {0, 0}, {0, 0}, { 3.3333333333333335`, 0}, {7.216878364870323, 4.166666666666667}, { 8.333333333333334, 0}, {5, 0}, {4.330127018922193, 2.5}, {10, 0}, {2.886751345948129, 1.6666666666666667`}, { 8.660254037844386, 5}, {6.666666666666667, 0}, {5.773502691896258, 3.3333333333333335`}, {1.4433756729740645`, 0.8333333333333334}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{Rational[5, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, {0, 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, {Rational[10, 3], 0}, { 5, 0}}, {{1.6666666666666667`, 0}, {8.660254037844386, 5}, { 4.330127018922193, 2.5}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {7.216878364870323, 4.166666666666667}, {10, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, { 8.333333333333334, 0}, {6.666666666666667, 0}, { 3.3333333333333335`, 0}, {5, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{Rational[5, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, {0, 0}, {Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, {Rational[10, 3], 0}, { 5, 0}}, {{1.6666666666666667`, 0}, {8.660254037844386, 5}, { 4.330127018922193, 2.5}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {7.216878364870323, 4.166666666666667}, {10, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, { 8.333333333333334, 0}, {6.666666666666667, 0}, { 3.3333333333333335`, 0}, {5, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 3], 0}, {0, 0}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, {10, 0}, {5 3^Rational[1, 2], 5}}], BezierCurve[{{0, 0}, {8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 2.886751345948129, 1.6666666666666667`}, { 1.6666666666666667`, 0}, {0, 0}, {6.666666666666667, 0}, { 4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}, {5, 0}, {10, 0}, {8.660254037844386, 5}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, {Rational[25, 3], 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[5, 3], 0}, {0, 0}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, {10, 0}, {5 3^Rational[1, 2], 5}}], BezierCurve[{{0, 0}, {8.333333333333334, 0}, {5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 2.886751345948129, 1.6666666666666667`}, { 1.6666666666666667`, 0}, {0, 0}, {6.666666666666667, 0}, { 4.330127018922193, 2.5}, {1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}, {5, 0}, {10, 0}, {8.660254037844386, 5}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[20, 3], 0}, {5, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[25, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, {10, 0}}], BezierCurve[{{6.666666666666667, 0}, {5, 0}, {5.773502691896258, 3.3333333333333335`}, {4.330127018922193, 2.5}, { 2.886751345948129, 1.6666666666666667`}, {8.333333333333334, 0}, { 0, 0}, {8.660254037844386, 5}, {7.216878364870323, 4.166666666666667}, {3.3333333333333335`, 0}, {0, 0}, { 1.4433756729740645`, 0.8333333333333334}, { 1.6666666666666667`, 0}, {10, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{Rational[20, 3], 0}, {5, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[25, 3], 0}, {0, 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[10, 3], 0}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, {10, 0}}], BezierCurve[{{6.666666666666667, 0}, {5, 0}, {5.773502691896258, 3.3333333333333335`}, {4.330127018922193, 2.5}, { 2.886751345948129, 1.6666666666666667`}, { 8.333333333333334, 0}, {0, 0}, {8.660254037844386, 5}, { 7.216878364870323, 4.166666666666667}, { 3.3333333333333335`, 0}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {1.6666666666666667`, 0}, {10, 0}}]]]}, {{{ 1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[25, 3], 0}, {0, 0}, {0, 0}, {5, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {5 3^Rational[1, 2], 5}, { Rational[10, 3], 0}, {10, 0}, {Rational[20, 3], 0}}, {{ 8.333333333333334, 0}, {0, 0}, {0, 0}, {5, 0}, {5.773502691896258, 3.3333333333333335`}, {4.330127018922193, 2.5}, { 1.6666666666666667`, 0}, {1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}, { 2.886751345948129, 1.6666666666666667`}, {8.660254037844386, 5}, { 3.3333333333333335`, 0}, {10, 0}, {6.666666666666667, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[25, 3], 0}, {0, 0}, {0, 0}, {5, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {5 3^Rational[1, 2], 5}, { Rational[10, 3], 0}, {10, 0}, {Rational[20, 3], 0}}, {{ 8.333333333333334, 0}, {0, 0}, {0, 0}, {5, 0}, {5.773502691896258, 3.3333333333333335`}, {4.330127018922193, 2.5}, { 1.6666666666666667`, 0}, {1.4433756729740645`, 0.8333333333333334}, {7.216878364870323, 4.166666666666667}, { 2.886751345948129, 1.6666666666666667`}, {8.660254037844386, 5}, { 3.3333333333333335`, 0}, {10, 0}, {6.666666666666667, 0}}]]}, {{{ 1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{0, 0}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[5, 3], 0}, {10, 0}, {Rational[20, 3], 0}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}}, {{0, 0}, {5, 0}, {4.330127018922193, 2.5}, {5.773502691896258, 3.3333333333333335`}, {0, 0}, {1.6666666666666667`, 0}, {10, 0}, { 6.666666666666667, 0}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {7.216878364870323, 4.166666666666667}, { 1.4433756729740645`, 0.8333333333333334}, {8.333333333333334, 0}, { 2.886751345948129, 1.6666666666666667`}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{0, 0}, {5, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[5, 3], 0}, {10, 0}, {Rational[20, 3], 0}, { Rational[10, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}}, {{0, 0}, {5, 0}, {4.330127018922193, 2.5}, {5.773502691896258, 3.3333333333333335`}, {0, 0}, {1.6666666666666667`, 0}, {10, 0}, { 6.666666666666667, 0}, {3.3333333333333335`, 0}, { 8.660254037844386, 5}, {7.216878364870323, 4.166666666666667}, { 1.4433756729740645`, 0.8333333333333334}, { 8.333333333333334, 0}, {2.886751345948129, 1.6666666666666667`}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, { 0, 0}, {7.216878364870323, 4.166666666666667}, { 1.6666666666666667`, 0}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {8.660254037844386, 5}, { 3.3333333333333335`, 0}, {8.333333333333334, 0}, { 2.886751345948129, 1.6666666666666667`}, {10, 0}, { 4.330127018922193, 2.5}, {0, 0}, {6.666666666666667, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[5, 3], 0}, {5, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[1, 2], 5}, {Rational[10, 3], 0}, { Rational[25, 3], 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, {10, 0}, {Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, {0, 0}, { Rational[20, 3], 0}}, {{5.773502691896258, 3.3333333333333335`}, { 0, 0}, {7.216878364870323, 4.166666666666667}, { 1.6666666666666667`, 0}, {5, 0}, {1.4433756729740645`, 0.8333333333333334}, {8.660254037844386, 5}, { 3.3333333333333335`, 0}, {8.333333333333334, 0}, { 2.886751345948129, 1.6666666666666667`}, {10, 0}, { 4.330127018922193, 2.5}, {0, 0}, {6.666666666666667, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {5 3^Rational[1, 2], 5}, { 0, 0}, {5, 0}, {Rational[10, 3], 0}, {Rational[5, 3], 0}, {10, 0}}], BezierCurve[{{0, 0}, {4.330127018922193, 2.5}, { 2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, {8.333333333333334, 0}, { 6.666666666666667, 0}, {1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, { 8.660254037844386, 5}, {0, 0}, {5, 0}, {3.3333333333333335`, 0}, { 1.6666666666666667`, 0}, {10, 0}}]]]}, GeometricTransformationBox[ {GrayLevel[0.25], FilledCurveBox[NCache[ BezierCurve[{{0, 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { Rational[25, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { 5 3^Rational[1, 2], 5}, {0, 0}, {5, 0}, {Rational[10, 3], 0}, { Rational[5, 3], 0}, {10, 0}}], BezierCurve[{{0, 0}, {4.330127018922193, 2.5}, {2.886751345948129, 1.6666666666666667`}, {7.216878364870323, 4.166666666666667}, { 8.333333333333334, 0}, {6.666666666666667, 0}, { 1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, {8.660254037844386, 5}, {0, 0}, {5, 0}, { 3.3333333333333335`, 0}, {1.6666666666666667`, 0}, {10, 0}}]]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, {5, 0}, {Rational[25, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[5, 3], 0}, {Rational[10, 3], 0}}, {{4.330127018922193, 2.5}, {7.216878364870323, 4.166666666666667}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {6.666666666666667, 0}, { 8.660254037844386, 5}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {2.886751345948129, 1.6666666666666667`}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, {5, 0}, {Rational[25, 3], 0}, {Rational[20, 3], 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {0, 0}, { Rational[5, 3], 0}, {Rational[10, 3], 0}}, {{4.330127018922193, 2.5}, {7.216878364870323, 4.166666666666667}, {10, 0}, {5, 0}, { 8.333333333333334, 0}, {6.666666666666667, 0}, { 8.660254037844386, 5}, {0, 0}, {1.4433756729740645`, 0.8333333333333334}, {2.886751345948129, 1.6666666666666667`}, { 5.773502691896258, 3.3333333333333335`}, {0, 0}, { 1.6666666666666667`, 0}, {3.3333333333333335`, 0}}]]}, {{{1, 0}, { 0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[10, 3], 0}, {0, 0}, {Rational[20, 3], 0}, { 5 3^Rational[1, 2], 5}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, {10, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}}, {{3.3333333333333335`, 0}, {0, 0}, { 6.666666666666667, 0}, {8.660254037844386, 5}, {5.773502691896258, 3.3333333333333335`}, {1.4433756729740645`, 0.8333333333333334}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 5, 0}, {10, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, { 4.330127018922193, 2.5}, {8.333333333333334, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], BezierCurveBox[ NCache[{{Rational[10, 3], 0}, {0, 0}, {Rational[20, 3], 0}, { 5 3^Rational[1, 2], 5}, {10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {5, 0}, {10, 0}, {0, 0}, {5 3^Rational[-1, 2], Rational[5, 3]}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}}, {{3.3333333333333335`, 0}, {0, 0}, { 6.666666666666667, 0}, {8.660254037844386, 5}, {5.773502691896258, 3.3333333333333335`}, {1.4433756729740645`, 0.8333333333333334}, {1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, {5, 0}, {10, 0}, {0, 0}, {2.886751345948129, 1.6666666666666667`}, {4.330127018922193, 2.5}, { 8.333333333333334, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[5, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[25, 3], 0}, {0, 0}, {5, 0}}, {{1.6666666666666667`, 0}, { 8.660254037844386, 5}, {6.666666666666667, 0}, { 1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, {4.330127018922193, 2.5}, {7.216878364870323, 4.166666666666667}, {10, 0}, { 2.886751345948129, 1.6666666666666667`}, {0, 0}, { 8.333333333333334, 0}, {0, 0}, {5, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], PolygonBox[ NCache[{{Rational[5, 3], 0}, {5 3^Rational[1, 2], 5}, { Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {Rational[10, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {0, 0}, { Rational[25, 3], 0}, {0, 0}, {5, 0}}, {{1.6666666666666667`, 0}, { 8.660254037844386, 5}, {6.666666666666667, 0}, { 1.4433756729740645`, 0.8333333333333334}, {5.773502691896258, 3.3333333333333335`}, {3.3333333333333335`, 0}, { 4.330127018922193, 2.5}, {7.216878364870323, 4.166666666666667}, { 10, 0}, {2.886751345948129, 1.6666666666666667`}, {0, 0}, { 8.333333333333334, 0}, {0, 0}, {5, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}}, {{2.886751345948129, 1.6666666666666667`}, { 5.773502691896258, 3.3333333333333335`}, {5, 0}, { 8.660254037844386, 5}, {0, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}, {10, 0}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {1.4433756729740645`, 0.8333333333333334}, { 1.6666666666666667`, 0}, {4.330127018922193, 2.5}, { 8.333333333333334, 0}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{5 3^Rational[-1, 2], Rational[5, 3]}, { 10 3^Rational[-1, 2], Rational[10, 3]}, {5, 0}, { 5 3^Rational[1, 2], 5}, {0, 0}, {0, 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, {10, 0}, { Rational[10, 3], 0}, {Rational[20, 3], 0}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, { Rational[5, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}, { Rational[25, 3], 0}}, {{2.886751345948129, 1.6666666666666667`}, { 5.773502691896258, 3.3333333333333335`}, {5, 0}, { 8.660254037844386, 5}, {0, 0}, {0, 0}, {7.216878364870323, 4.166666666666667}, {10, 0}, {3.3333333333333335`, 0}, { 6.666666666666667, 0}, {1.4433756729740645`, 0.8333333333333334}, {1.6666666666666667`, 0}, {4.330127018922193, 2.5}, {8.333333333333334, 0}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]], ",", GraphicsBox[GeometricTransformationBox[{ {GrayLevel[0.25], LineBox[NCache[{{5, 0}, {Rational[10, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, {Rational[25, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}}, {{5, 0}, { 3.3333333333333335`, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 8.660254037844386, 5}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {1.4433756729740645`, 0.8333333333333334}, { 0, 0}, {10, 0}, {8.333333333333334, 0}, {4.330127018922193, 2.5}}]]}, GeometricTransformationBox[ {GrayLevel[0.25], LineBox[NCache[{{5, 0}, {Rational[10, 3], 0}, { 5 3^Rational[-1, 2], Rational[5, 3]}, {Rational[20, 3], 0}, { Rational[5, 3], 0}, { Rational[25, 2] 3^Rational[-1, 2], Rational[25, 6]}, { 5 3^Rational[1, 2], 5}, {0, 0}, { 10 3^Rational[-1, 2], Rational[10, 3]}, { Rational[5, 2] 3^Rational[-1, 2], Rational[5, 6]}, {0, 0}, {10, 0}, {Rational[25, 3], 0}, { Rational[5, 2] 3^Rational[1, 2], Rational[5, 2]}}, {{5, 0}, { 3.3333333333333335`, 0}, {2.886751345948129, 1.6666666666666667`}, {6.666666666666667, 0}, { 1.6666666666666667`, 0}, {7.216878364870323, 4.166666666666667}, { 8.660254037844386, 5}, {0, 0}, {5.773502691896258, 3.3333333333333335`}, {1.4433756729740645`, 0.8333333333333334}, { 0, 0}, {10, 0}, {8.333333333333334, 0}, {4.330127018922193, 2.5}}]]}, {{{1, 0}, {0, -1}}, {0, 0}}]}, NCache[{{{1, 0}, {0, 1}}, {{Rational[1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[1, 2]}}, {{ Rational[-1, 2], Rational[-1, 2] 3^Rational[1, 2]}, { Rational[1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{-1, 0}, { 0, -1}}, {{Rational[-1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[-1, 2]}}, {{ Rational[1, 2], Rational[1, 2] 3^Rational[1, 2]}, { Rational[-1, 2] 3^Rational[1, 2], Rational[1, 2]}}}, {{{1, 0}, {0, 1}}, {{0.5, -0.8660254037844386}, {0.8660254037844386, 0.5}}, {{-0.5, -0.8660254037844386}, { 0.8660254037844386, -0.5}}, {{-1, 0}, {0, -1}}, {{-0.5, 0.8660254037844386}, {-0.8660254037844386, -0.5}}, {{0.5, 0.8660254037844386}, {-0.8660254037844386, 0.5}}}]]]}], "}"}], StripOnInput->False, Magnification->0.3 Inherited]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530190958009*^9, 3.779530697196406*^9, 3.7795497269763727`*^9, 3.779552079557674*^9, 3.7795542085525713`*^9, 3.7795548243273582`*^9, 3.780352328554265*^9, 3.780396926805394*^9, 3.780397447424879*^9, 3.780399860399414*^9, 3.780400234973325*^9, 3.780400374285965*^9, 3.7804011290887947`*^9, 3.780401291665847*^9, 3.78040181282085*^9, 3.7804022673702593`*^9, 3.780402396111068*^9, 3.84850771012436*^9, 3.848520706422997*^9, 3.84852193358526*^9, 3.859193972646373*^9}, CellLabel->"Out[3]=", CellID->228788993] }, Open ]], Cell["Make images of the generated mandala graphics:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779211385950767*^9, 3.779211403397254*^9}}, CellID->460152211], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"AbsoluteTiming", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"mandalaImages", "=", RowBox[{"Map", "[", RowBox[{ RowBox[{ RowBox[{"Image", "[", RowBox[{"#", ",", RowBox[{"ImageSize", "->", RowBox[{"{", RowBox[{"400", ",", "400"}], "}"}]}], ",", RowBox[{"ColorSpace", "\[Rule]", "\"\\""}]}], "]"}], "&"}], ",", "mandalas"}], "]"}]}], ";"}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.695255061288024*^9, 3.695255138339426*^9}, { 3.6952552323130207`*^9, 3.6952552330434237`*^9}, {3.695255633464018*^9, 3.6952556387127247`*^9}, {3.69525782616573*^9, 3.695257828380067*^9}, { 3.695260206950284*^9, 3.695260207240836*^9}, {3.695260731402348*^9, 3.695260735314794*^9}, {3.695266124265998*^9, 3.695266124493054*^9}, { 3.695312561589013*^9, 3.695312561813059*^9}, {3.69533483141045*^9, 3.695334918429578*^9}, {3.6956769454909563`*^9, 3.695676950237907*^9}, { 3.6956775984310904`*^9, 3.695677599260593*^9}, {3.779211352032146*^9, 3.779211419366536*^9}}, CellLabel->"In[4]:=", CellID->752329128], Cell[BoxData[ RowBox[{"{", RowBox[{"4.379188`", ",", "Null"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530194899333*^9, 3.779530703889105*^9, 3.779549730385232*^9, 3.779552083801989*^9, 3.779554215062931*^9, 3.779554827717555*^9, 3.780352332205036*^9, 3.7803969308748083`*^9, 3.7803974515541077`*^9, 3.780399864739808*^9, 3.7804002393832693`*^9, 3.7804003793672733`*^9, 3.780401134083157*^9, 3.780401295735347*^9, 3.780401817510998*^9, 3.780402271777418*^9, 3.780402400723433*^9, 3.848507727018848*^9, 3.8485207226788387`*^9, 3.8485219536179743`*^9, 3.859193977038393*^9}, CellLabel->"Out[4]=", CellID->159205277] }, Open ]], Cell["\<\ Pick mandala images at random and blend them using a set of coloring schemes:\ \ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.779211320719524*^9, 3.779211321486937*^9}, { 3.7792115772362537`*^9, 3.7792116447724257`*^9}, {3.779216237546899*^9, 3.779216240764008*^9}}, CellID->247776931], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "3488", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{"AbsoluteTiming", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"directBlendingImages", "=", RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"RemoveBackground", "@", RowBox[{"ImageAdjust", "[", RowBox[{"Blend", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Colorize", "[", RowBox[{"#", ",", RowBox[{"ColorFunction", "\[Rule]", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], "]"}]}]}], "]"}], "&"}], "/@", RowBox[{"RandomChoice", "[", RowBox[{"mandalaImages", ",", "4"}], "]"}]}], ",", RowBox[{"RandomReal", "[", RowBox[{"1", ",", "4"}], "]"}]}], "]"}], "]"}]}], ",", "12"}], "]"}]}], ";"}], "\[IndentingNewLine]", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.695264024194496*^9, 3.695264097308301*^9}, { 3.695264180662285*^9, 3.6952641858101177`*^9}, {3.695264244332037*^9, 3.6952642463499327`*^9}, {3.69533613974179*^9, 3.695336143294724*^9}, 3.6953362037881927`*^9, {3.69533624775797*^9, 3.695336265516624*^9}, { 3.695336306322751*^9, 3.69533632297754*^9}, {3.695336431446292*^9, 3.6953364415226*^9}, {3.695337232551158*^9, 3.6953372339791183`*^9}, { 3.695337270496282*^9, 3.695337271744458*^9}, {3.695473044812257*^9, 3.695473047195119*^9}, 3.69547308608641*^9, {3.695478235341353*^9, 3.69547828211028*^9}, 3.6954783251075363`*^9, {3.6955646665142097`*^9, 3.695564670957326*^9}, 3.695565155247322*^9, {3.6956779331755953`*^9, 3.695677933726919*^9}, {3.695730673154972*^9, 3.695730673556817*^9}, { 3.779211490275673*^9, 3.779211524407045*^9}, {3.77921156240168*^9, 3.779211573088718*^9}, {3.779216205137933*^9, 3.7792162052249002`*^9}, 3.8485207711442127`*^9}, CellLabel->"In[5]:=", CellID->17336660], Cell[BoxData[ RowBox[{"{", RowBox[{"3.661273`", ",", "Null"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.848521960322424*^9, 3.859193980743957*^9}, CellLabel->"Out[6]=", CellID->242285337] }, Open ]], Cell["Make a collage:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779211652355493*^9, 3.779211655459539*^9}}, CellID->787187997], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ImageCollage", "[", RowBox[{"directBlendingImages", ",", RowBox[{"Background", "\[Rule]", "White"}], ",", RowBox[{"ImagePadding", "\[Rule]", "3"}], ",", RowBox[{"ImageSize", "\[Rule]", "200"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.695478266449604*^9, 3.69547830274739*^9}, { 3.695564538573145*^9, 3.695564548619269*^9}, {3.695564660072691*^9, 3.695564663021295*^9}, {3.695735828338561*^9, 3.69573583902561*^9}, 3.69574426669973*^9, {3.779211452936364*^9, 3.7792114545538816`*^9}, { 3.77921154206061*^9, 3.779211549685691*^9}, {3.779554818829446*^9, 3.779554819839477*^9}, {3.779555470417592*^9, 3.779555472474556*^9}, { 3.779555516352757*^9, 3.779555516780257*^9}}, CellLabel->"In[7]:=", CellID->713899104], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsnQdAlVUbx7FyT1SUKSoKskHEiXsvBGSjbHC1s6xcZbnNkQv3FtyrzFzl yJGVpWXmnjlKcbDH/X/nf9574Yo4cIFf79P3fodz3jOe53eucJ57Vq3It3xi XzEwMHivlPg/n4hBrd99N+KjnpVExO/N9/r1eTMmuvObA2P6xLzbOPJVkRgh 8jqIH14TP0MVVVRRRRVVVFFFFVVUUUUVVVRRRRVVVFFFFVVUUUUVVVRRRRVV VFFFFVVUUUUVVVR5LqLRFLYGqqiiiiqq/H+J+odFFVVUUUWVJxf+FckWTkpm Vjays5W/KQxlXKSrf2VUUUUVVVR5YhF/R7K1oSqqqPJw0WRnFrYKqqhSJIR/ MTTi70ZWdjYyM7Pve5+sSb8vjfmYX6P6L6qokiOZmqzCVkEVVYq46P5i3MkT V0UVVVRRRZV75R7/JM+fizRk4sT585i9cRfe/3QFGgeNliHjTOf7eyu7139R RZX/oqRlpGPNlvUyVEUVVe4XTXaWeIDUk0exPiZYhowzXRVVVNEXZSylyUjG rUMzZKifrooq/69CN0K3xkuTfe/nPUv8dzs5BSt3HcLEuO1oFzYZtm7DYGI1 EGY1BqFOnSEyZJzpfM98zM9yLH9PW/prx9R/Wqr8n4vOR//rwilMXThThvrp qqiiCkWD7CzO36dj1eipCGg1SoaMK+nqvxdVVMkV5d9DWmoG5seGylA/XRVV /l9Et8ZLfw+KvtxJTcGWH3/ClAU74R07Ba4tRsLCZhCqmQ+EldXHsLEbBnun T2Dv/AlsnYbLkHGm8z3zMT/LsTzrYX2sN6/o9r6oa8dU+X+V7Oxs7PljP5bs 3iRDxlVRRZVcydYo/yZ+mTgcE2uEYta0PjJkXP+9Kqqowu99lX8PSb/twfLK HWSon66KKi+rPHIPSmY6jp49j2kJ3+Ot4Qlw6TASte0+RDXLgahV62PUrTcE do6fwMFF8U/qOQ5DPYd8HpHO98zH/CzH8qyH9bFe1s922B7bzSvq3hdV/l9E N4dy9eZ1HDv/B77+eZcMGdd/r4oq/2VR/PcsXLqwD6Os+mJurRgcmVxfhowz ne9VP18VVRTJzlTW3f+8biNmGNSWoX66Kqq8TJLjn2TdvwclHZk4deE85n61 B4M+W4HGXmNg5zoc1WsNhHmNQbC2GQJbB+F3OAu/w3k4bB/knzziYTmWZz2s j/WyfrbD9tgu26ce1Cc9v70vWereF1VeTuFnlusefzl9FLeSrmP1vm0yZFxZ D6l+plX5b4tGexYY9z0u7hyM6YZ9MKdmME43t5Yh40zn+2yoPr4qqnBgJNft Zyfjx/6DMbWYhwwZV9bzq/9GVCna8rA9KGLEjzvJKVi79xAmzdqODhGTYddg GEzrvA9T7kGpO0Su5XLQrfF6Qv/kcfwX1u+gXTvGdtk+9aA+1Iv6UU/qm63u fVHlJRX9uZU/L/wuPrupWL57swwZV+dYVFFFu2cl8xa+mjQG4ypFY55pNEa7 9MNPVs4yZJzpfM986l4WVVRRPv/csbKqnReWGTTDqrZeyMjzXhVVioooa7yA rAfsQbmbmoJtP/2MKUu+g1/fL+HaahQsuQfFYiBq175/D8rz8lEe5rvk3ftC vagf9aS+1Jv60467D9j7kiX3vqj/QlUpWqKsZ9Tg0IlfcDflX2RmJiN+72YZ Ms50mUP1V1T5j0p2lvJ91O/frMT4Su0w12IAZhiFYrp3AI61qCtDxpnO98yn X04VVf6Toj0vL/WnH7CoihcSyraUIeP671VRpTDloXtQstLxx9nzmLFqF979 JAGuHUfCintQag5EzZw9KMNz9qC8aP/kcf0XZe/LcKkv9ab+tIP20C7aRztp b15Rz01WpShJkvCxfz39q/gpE6lpt5Gwd4sMGWd6Uj4+uCqq/BdEnl0swuQL hzG9lT+mV49GnGVfTKnaC5v9muOflpVlyDjT+Z75mF8D9YxjVf67oslS1s3/ uWYhlhRrhBWVO8vwz9UL73mviiovUuQaL+0aqLwTCBnIwq27yViy4yA+/DwB zXoqe1CMaynnDNe9bw/K8EL3SQrmvwy/Z+8L7aFdxtq9L7SXdtN+csjIs3ZM t/eF/FT3RZUXKTp/+diFU7ieeBncK3yvv5Il04+pZxur8p8UrgPj4oDbWDvs U0ws64VZNfpjlnkoJpr0xndOjXC3Xll859wIE417y3S+Zz7mZzlZXp1VV+U/ KNmZHOtk4+D49ZhVrC1WV28rQ8aZrrxXRZXnKw/bg6LhHpSUFGzYdwiT5uxA l6gpcGn6OcytB8HkBe5BKcz5l7x7X2g37ScH8iAX8iEnjbr35f9edOfeKfva s+95NJrCPWMuJT0Nh078LPerQJOGtPQ70l9hyDjT+Z75CkNy2WXnw06jns+n ynMTZT1XNv7cEo/xVTpido1wzDTth1lmfhhbJwYJDbsgpfKrSHDvIuNM53vm Y36Wk+MydV2YKv85UX4vZyIZWzr7Y+ErHRBfrY0MGWe69ibJwlVTlf9L4afq gXtQxFjm8JnzmLRkB4IGTIVrm1GoWS93D0pd2yGwdyy8PSiF6bvk7H3hucmC g27vC/mQE3mRG/ndzWdMmLP35QX0sSrPRjiWzszOEn5n1n3+/MMLin9jotyL uMNBN1dy/NIpnL92GpxLgSY1j7+SKtP5nvn0yz1Pof3kgAJgUPz8LMldvQND lacV6QeLz1SqJhMzO8dgqlEAZpnHIs48CjON/TDJOQzfhTrjdumyMmSc6XzP fMzPciyvyVb3f6nyLOQlmqvTft7Tb9/B/NrRWFy6HZZVbi9Dxpmun6/oy0vE /j8u2Xk+UynZ6fjz3AXErd2F9z5NQIOuo1DPeRiMuAel5sdyTZTcg1Kk/JPC X2eWs/fFWbv3RXAiL3IjP3IkT3IlX3J+WD+oUvQkv3EJV+lmZGTg3zvXcPTv ozh08QgOXvgNhy8dwdnrJ5GSkiz6Or8zsp/v2Js+wcETh4Q/nCQ+XPnPrzCd 72W+57gWX/p4/B46Dz5yIR9yIi9yIz9yJE9yzW8VtDo+fHmkKPaV7nu5HVMm YFxFX8y2DMEMswGYaRGE6SZBmGvri8s9KuNy+SoyZJzpfM98zM9yLK9fX1GS oshdlYfLy9Jjur0pl7YuxvJiLbC0vCeWVeggQ8aZrp+vqMvLwv2/LroxcoYm E8t3/ojBo+LR3H8s7OoPh3HtgTCzGIS61kNQz35YEd6DMhQ29oNlWPi66Psv uXtfyI8cyZNcyZecyZvcyV+/P1QpeqL7+3/0yl+Yu389JifMxsDJH6LXh30Q Ft5bPL0QGBaIwIggBEcGIzymF/r0i8Dbb72OgeM/wbQlU/HN7u3469rJx27v gc9DfsPq9Lx84zpOXj4OzqFoslLyXw/GdPGe+Zhfv3y+deMhOj3mZ5f2kwN5 kAv5kBN5kRv5kSN5kiv5kvPkhDmYt3+D5P8oPVUpIqL9TqYo9ZXuO4JLJ/Zh Qh0/zDLxE35IDGaaxWKGRQBmmAbgi7qRuFDHEFdMqsiQcabzPfMxP8uxPOvR r7coSA7v7PvPg1GliEqG9twTOfdXtNcYKntTNNg3ZR1mF+uAFeW6S3+FIeNM l/vDivgeFslZ928lQz13pihLlvae3tOXT6Nr9DpYuC6U95BY1fk4zx6Uh9wl X6jPcOmj2Dl+DkeXL2Wo+CxFzZ8aJvmRo/7eF3Imb3Inf/aDfr+oUnQkW3tY 9bU7l2Hu3QwVmtjBvYMH6ns0RrMmjdGkcUM08GgA57aN4dihKRw6NIJju6Zw a9kIjZo0QLOGDeHetBGc2jZDE+828B8Ug6nr5uPo5T+RkZWBzLQMJKWkIi0z Axl552IKKhplvPLTicOizhvIzk5Ddlay3Kuiv9+ecabzPfMxv+YZHMpN/WkH 7aFdtI920l7aTfvJgTzIhXzIibwkN8GPHMmTXMmXnN07egju9pI/+wEa1b8v qqIbb/17cBFOHvlR/pxdFMZguv1QWf9gmY8fJlf2R5xlEOJM+2KmeYjir1QN xESfMJx3qoQrVarIkHGmS39F5GN+lmN51sP6NNr6C1t0nMmd/ClFffz7nxbt 7/uUbWNw9cseOfeXaIrqHfHaf0MaTSL2tPfEAgMvxJfvguUV2suQcabzfVH5 N5Gf6PiSN7mTv5Sn/furyjOXHF/l74vw6DYcVlZfwKXletjbToGDyygxti5a cxUP9gOGw87mC9SpM02G9Yrc3E/+D/mSs73tZDgL7uTPfmB/6PePKoUvylp3 pT8C3g5B4zbNUKN9c0RGhOGt/v3Qv18f9Osbgz6xkYiJCkdkZKgyLxDaCyEh QQgO9Ievvxc8/bujs19XtPbugCYdW8KpVSO09GyPd0d+gC0/foPjV47h4Plf sefczzjy93GcvHwOJ06fwInjx3D8zHEcu3wKx6+LtH/P4XrSDeEPpCApKQnJ SclISU1DakYG0oWfwJu6r9+5gd/P/661IEv7ZMv5lBX7vtXOq2TrvYPMz3Is z3pYH+tl/WyH7bFdtk89pD5CL+pHPakv9ab+tIP20C7aRztpL+2m/eRAHuRC PuREXuRGfuRInuRKvuRM3jXae0j+7AfZN+q54UVSdF2SejcRH74zFr//dUbG C9tn0e2N/+PbFZhg0hOzLXshziIKs8yEv2IZKB5/TKkagu093XDTpRjOVjaV IeNM53vmY36WY3nWw/r06y8s0fEl70FvjxP8b8q4+k+k6IpuzdS1rRNxrLMB dg0aisQ/flLeyWtJi1jnadVJE+EC5/5Y+moXLC3fFfFyPVhXGWd6mube/EVG 5N9z5cebgjN5kzv5y9cvyRq2/4ro+yrNu38Gy9qD4Wz/KVycZ8C16UI4mn6K ek4TtHMqRdlvGQo7p5FwtPgMjsZjZMh4UddZchV8HU0+hWuThZI7+bMf2B+q z1J0RJ5Dob2jYdT8aajlaot3B/RDE88OqNW2KQbERCEiPBRRYiwdHRGO6Mhw xERGiPF2BGL5REeij8jTNyYa/cTTXz4xeL1PLN7sK/yc6GiE9Q5B34H9sOq7 1UjFXfAbn+SURCQl30TS3X9x+9ZV/JN4HpdunsWZG2fw1/WT+OvqaZw8L3yE v47i2LFfcPjkLzh47lfsO/8Lfr78B777eS/2Hd2Hv/78FX+dOIo/LxzHn9dO 4tjVE1i6/SsZMs50vmc+5mc5lmc9rI/1sn62w/bYLtunHtSHelE/6kl9qTf1 px20h3bRPtpJe2k37e+v5UEu5ENO5EVu5EeO5Emu5EvO5E3u5M9+YH/o948q RUuUPR1pWDVkFt5uOgiXLv2sTS+c8YCylpHzf3cwz2coZlR7D7Ot3sP0agMw s3ofzK4chFlVgjDG7C1sduiOFKsKuFytugwZZzrfMx/zsxzLsx7Wx3qV6cnC +TTquJLz200GYbXgTv5FcW+NKnqi9TFv/vELfrJzxnVLA8R37InjcxJEapJ8 p8kqOmMB3Xd3t47twvJynbCUT4WOiC/TToaMM53v9fMXBcnlmCT5xnf0wTXB m9zJX4o6F1lkJK+vUlOMkR1chsPa8RPUMx6OFr7r0cB6DOyqDYaj3QTYOgvf xX5IERjn5304j/IxbB0mwqn6VDiVGSVDxpleJNeECY7kSa7kS87kTe7kz36o qfosRUp0f+vX7f4Kts1c0c27K/rFxiBWjKeNWrijS4A3+kdHKf5KZPhDnjBE 6Z4IvUfEOUaPCu2NwKAADB0/DCeun9Y2zvPkuP6cM9aZek9Wnp/5nmcTJ4vP SyquJV7GwWM/Ii31Lu7cuo4biZfw981zOHfrHI5dO4vFW76RIeNM53vmY/6D xw7K8qyH9bFepf68berrk6Homa2cf0f9aQftoV3Svnzs5hMd+XBuzEu+Xfx9 JO/YqHDJn/3A/mC/6PeTKkVHdHMNR3asxAemA/Blx3D8c1k7himE7zB1+hzc tArjDb3lnvnp5hGYbtIXM0wDMcMkEHOr98Zk57ew1bczbteojJ9CXWXIONP5 nvmYn+VYnvWwPtar386LFB1P8iXnD0xel9wLSx9VCiDa+ZPkW8DqluG4W604 TtrWwGyjNtg98FNkZCYr2YrI+rBsrR77l27CrFdaI6FCVyyu0A1ja8bIkHGm 871+/sKWnPVfgie5ku8pWwvJm9zJX8mo/i0pCpKfr2Lvwr3gQ1HPeSRsLEbD w/kLBPbfAptK78HFWPgD1uNhK+csipbPYiN8EnvnCahfZxEcjEbBrtwIGTLO dBvpsxS+nrnPEMmRPMmVfMmZvMmd/NkP7A/VZykaotsb8efls/Dr7QfnZm6I iY5QxtAxUejk3wPVWrmjj0x7mK/yGI8Y0/eJjkRoUBAi3ozFd4d3QH5Tm5ki 125psvWerPsfnvOlyVLOJz569ojwOfjZ4edG5+8oYxZNVgYSdm+XoSI6fydd 5r8mfBeWV/bop2rrzafNvPpkpkh9qTf1px20h3Y9DRdyJV9yJm9yJ3/2A/uD /cL+0e8vVYqG6L5XTfljByY0HoChlsOxtFV7JF3eqbx/gT6LnPMQ/0vNvIsZ 7WMxrbIvZloGIM60D+KEzzHDwl88gZgmfJFZtr646FkBV+qUwMx20TJknOl8 z3zMz3Isz3pYH+tl/XjBcyw6jkmXvxN822GY4Eze5C7fq38/irbo/JW0dExt PQhXalRCSjkD/OnogMnVQ7Hezhf//PWDkjVLU8jjaeUccGiS8WPsYCww8MSK Mt2xtEJPTIruJUPGmf5jzGCZTznzvxB15vqvLKV9ciRPciVfciZvcid/XX5V Clfy9VV4bpX83n8obJ0/Q33uAynzNt54fwv8vReibtm34Wz8EZxqjYK90zit z1KYa62GCz+EZykPg53DJFg7zoOT5Xi4Vh8C+woTZMg40/me+WykzoU51zJU ciM/ciRPcvX3XoA3Bn4jeZM7+Uu/0UG5j1L1WQpXdOddpQvuH48ZBrfmDdHZ pyv6x0bL8TL3Urwuxs412zZB8x6d8LpIj3zkHMujH66LigoNRa/QIMTv4Pe1 2cIXSJV+gTyT+GGPJh3JqYk4ePyQyK/cBSn9DU2GGMsL/0O8T0m9heU7t8qQ cSU9Q8knnzRZnvWwvke1Kf2VzFSpJ/Wl3tSfdjwtC8lYcCVfcn49NkqmSX8x Nkb0RxfZL+yf9Ozc+yVVKSqirL/KEv+tDw3B0JpD8Lnpm1ju0R6p57Q+yws6 U0s3x/DD+rUYV9ETsyyDMNO8F2aZ9BO+RxBmmAfKZ6ZpAEY798OVmmVxxKMG 5tj3liHjTOd7XV6WY3lZj6iP9bJ+/faet+j4kSe5jhR8h9UagvW9QyR35Z+D +m+iaIvSP1mau0jwDsF+ywZIqvgaksoUx1G7+phRPhgLzELw50LeT6qcYVXY 68M4sl/apBeWC79kWSnhs1TshgMfWsuQcabzfWGfTpfLKUXyI0fyJFfyJWfy Jnfy15YqLHVVwSN8Fd2Y2ukTONcZAbsK76GZ23gsSjgEF5vP4Fh5IJyrfwB7 C569NV5710ph+Sz0VcS43iEODvaT4Oj8BZyMP0B9swmoab1Vhowzne+ZT8lf WHNDQ7W8xkt+5Eie5Eq+zdzGSd7kTv76XFWfpXBFt74oYft6ePX0gnNLd7kH POd7/8gwOX/g3ysAhi1cER7RS657etoxutz/Eh2B2MgIBIYEYPbmpeK3Z9Yj fRbducTHL/6Js1d592OmnB/RSH8kU3u/fTqS0m5h6fdbZci49FH4XqOdTxHl WJ715JyD/AhfhfpRT+pLvan/M+EgeJKrYXNXyZm8o/TWj7E/2C/sH/aTfr+p UjREjtvF52vv0sUYW8UbnzcYiYmGvbGgqSdSj2+V75739//3zK20i8X0Kn6Y YclziWOErxEtfA9/xf+wDMS0KsFYFOSJfxu/it3uTviyarQMGWc63zOf4rP4 y/Ksh/XJetu9uDkWyU3wI0fynGgYis8ajJKcyZvv1LVgL4PoPimJ2N3GC1tq tMJd4/L417AUUkuVwG/27phZIRKLDJrg2/cnIC1duz6sMH7Vaf+tJv+2B0vK +WJ5CW8sLtsNa8p0xo3uVWTIONP5nvn0y71I0fEhL3IjP3IkT3IlX3Imb3In f6WI+jeksOTRvor2cRwKa5vRcDUZghpl38WkcZuxIG4ralQcCFfOsVQTY22T YXC0+wL1nEe8wD0t2jOL5Viefsgs8fM4oe/HsLEdB6fqQjezibBzOShDxpnO 98zH/CynlH+BZx2Tj+BEXuRGfuRInuRKvjXKviN5k3u9fM5jU32WwhHl7GIN Lt26iv7v9keTNh7o6NVZfqevv0+F3/W/IdIcurSGfedW8udnMceSsz4sKlLu AZkrfAHlLPuHzLFo0pCVmYQDxw8iMyOJXyzJ71412jkS6a8gHXdSb2PJ91tk yHjuHEy68l2tKMfyrIf16e6UzO/J1q4Bo37Uk/o+7fqvvGzJ1aFr6/vY6uZY 2C/sH/YT+4v9pq4LKzqi+/7/5qUfMa1WT4ytNxDjnd7HpIp+mNM2Ehn8fGnv mn9eor9vZVwlzq0In8NCPGavy7OJp2vnSuIs/DHBOAI73BvhtusrWN6oE5ZU 8pPhbddiMp3v4+TasSBZTp6BLOphfayX9b+IfSzKmhyN5EeO5EmuYwRfciZv ma8I3QmjyoMlO0O5z+T3DxdhdsXO+NfcBIkVSooxdRmklS6FIw71Ma9iOOYZ 9MBaJz9cPHJQluP8wYs8q1q3F+XXdauwwKAl4kv7YUnZTlhYPgDnqhrKkHGm 8z3z6Zd7EUIeunkVciIvciM/ciRPcpV8BedZgje5y7+xGap/X1jy2L6KHMMP hp3TZDibDYddhXfRymMczv3yG/q/swg1y72D+qYfyzG3c/XByrnBTi9q3mII bB1GwNZ+BuwdpolxPX2lwbAV7TvXGQ0no/fgYDQSLs47ZMg40/me+Zif5Vie 9bwoncmHnMiL3MiPHMmTXFt5jJecJW/Bnfzz86VUn+XFS7aW7/x1i+Ht4ym/ w4+Oyn9czbOsIiNCUdnDFf4hfuibZw7g6XyWcPQR9QeFBGDld6sV3fLxWXRz K+euncKfF4/LfBqeFXTPXIjir9xOSsSSXd/IUN9fyc2n/F1hPazvQXMsiq8C qRf1o54PYlTQh/z6Ct+HPCs3ry/55pwZlg8j9g/7if2l33+qFBHRyNk+LOoV i+kV/THU9TPMrB2GCZX9seDDJXL3FNeXP5e1fNr7hLKybmN2tz6YVtlf7jeZ aRYl732cbhEg/A5lPdgsYz9McIzCN+0a43yTSlhm0xlLqvaU4YUmFbFZpPM9 8zE/y03X3R/J+uQ+Fn/ZDtvTXlLxHExS1uOTG/mRY1ytUMF1hODrJzln4unv UVLlxYlunLzni22YadANx9wccffVMrhZTYypS1dCWvlS+N3VBQsrBGOZeD+n nDd++/gj6PYlZr+Q9WEaZf5ak4yDUcMwV/gAK8p6Y2nxzphnH4yztpVlyDjT +Z75mD/7Be1hyeWQJfmQE3mRG/mRI3mSK/mSM3mTuyyv+iuFIo/vqyiPjcNQ ODqOhYvJYLhUHwQrow+wZN7X+Pfwz/DynIQ6Zd+Dq5niszhW+xB2tcfB3mm0 dn/I85hTGZIzp2JvHyd8Da5F0+6fsRf6On4G+1rj4UxfoPIncLFdLEPGmc73 zKesyRoiy7Oe3LmW57OvxUbuVRkt+ZCTnFcR3MiPHMmTXMmXnMmb3G0essZO 9VlenOhm5q/cvYY3PngDTdo2QwevjvfNreTdY9HCuzMs2zSW5+5GPu3e+zzz LDEREXJfyO7Dyv7ZbJ4Xk8cX4XPwr1+QlKbMrSDP2jHFX0nDrbs3sPT7zTJU zhTLO2+SIsuzHtanq/teX0VZj0B9qBf1e1bzKgrTcMnRsk0TwbXLA/cG6eZY 2D/spzc+eFP02/V7+lGVwhfdmrDv56/FFxW6YqL1G/jUfgjmm/tiXAVPLBk9 T54yJ32WZ9xvyn0kWTi2LR4TqnshjvMqFoGIM+W+ld7C78jdjzKde+mtg3Gl R3nsq2+LxTW7Ir6atwwZv+JVXr6X+XR7WFhe1KPUFyjrZztsj+0+6/tmJCHB ibwWj5on+ZEjeU60flPyJWd1LdjLJTlzgOs24ctiPbDHpiVSDMvg33LlcbNq SdwoYYiUiqVxpLETFlcIQIKBD+YbdMDG0M+RfFw31/Kcf+dpfe8MpGB98x7C D/BCfJkeWCzCzY1b41b9V2S4WJvO98yXod1z87wXsOnsJw9yIR9yIi9yIz9y JE9yJV9yJm9yp6j/Zl68FNRXyR1rfwI7s+FwNfkQVmXfRUTEdPzzywH8tmMn 2jUdAZvyA+HCeRYxznYS423nmqNgJ/fhD37m8xN2jiOFjxEnfIypypyKnl9k wzG8w+dwMBkixvwfo775LLg4LRJhnIh/JNKFvQ6fyXz3zHlwrsV+qqyX9T/7 uZbBkge5kA85kRe5kR85kmdExAzJl5zJm9wfVbfqs7wYydL+vvp67zZ4+faA UwvOrTzqzN1wOa9SvbU7Ovh5yrtFntkcS6SyjyMqLBThr8fi+LWT4N523kuv P7dy9dY1HD57DA/dcyL8k5vJN7Fs9zcylGcVP2QvDOtjvfp1ynZF+9SD+lCv Z7VvRze3Qn7kSJ59YyIfffaa6B/2E/uL/abfj6oUvujuBTm7bykmG3fHbLNA jHAajslWsZgjxvsTKnXH6i8n8mQJ6Wo/u+9hNdrplTQkBIdhSuUAOQcywzwS M837KXfZ6/wV4WvMNA7A+KZROOdiiK88miKhWjssMfOVIeNM53vmk2eE5fgr AUp9rFfUz3bYHtt9tvvdFT7kRF7jK3lKfuT4qeA52yxI8iVnSmHdc6NKwUV3 xtu5b2eL8X4LxNsG4F+jqkgsURE3qpTAzQrl5Fg7uVIZ/NjMFYvK+2Hlaz5Y aNAZCVZdcPrHI0pFz3N9mNbfSL99BwstYrG8mCfiS3lj4Ste+KmeO7LqGciQ cabzPfMxv375Z64W7dXOq5ADeZAL+ZATeZGb9FXIUfAkV/IlZ/Imd1mXelfk C5Un9VV4NpWN0+ewr/MFnKu9D8eqg9DAfhh+3C7G2Pv3Yve2b9HIdRhsK3wg xuAfibH4h2JMLvLVGAUbx/HPaOzP9VvCZ3KYAjt7+hTch6I7k0w3F8LxvbDJ aTKchL/iKPRwq7EQ9V3iRLhAxpnO9zb3rLFS9sGwPjvHsUr9oh2292z8rSGS A3mQC/mQE3mRG/mRI3m6Ca7kS87kTe66s8FUn6WQRaOcAvzZ1DFwb9EYHfLZ t5Lv9/zRUegW6A2jFm7yjpCoZzW/on143lZYSDDe/3wQktMTxe/VdGU/fbZy LvHPpw/j5p0r4Ldf98+Z5O5xuZGSiPi938jwQXtTlLmYDFkf65VYRDuyPdEu 26ce1OdZnAN2r78SLvmRI3k+6m6b3DmWzrK/2G/Z2n5UpYiI7ntZ8Zmb1i4M M6v0xBSrGAxz+gRxYrwdZ9ELX1Tqim9nDmMu7XVtT/97TTduu3L5GL6w5tlf wr+oQR+jv/AvwnL32YsnroYY91fpjc1dPXCxW0XE1+6AlWZtscTYV4aMM53v mY/5c+dY/LX19Zf1sx22x3b19Xg6ydZyyZCcyIvcyG+48FW+FDzJlXwz5J2t UM9lfZlEO05OXj8DK4t5YHGlYJx1qok7r4rxdcXyuFmlJG6WrYTEkpVwx7As djRthgVl/bGS+9qL9cS813rg0NAh0H3SnsddLRrtd0CntyZgqUErxBf3w/LS 3TGnrC++L+cBTWUDGTLOdL5nPubXL/9MddLayZppPzmQB7mQDzmRF7mRHzmS J7mSLzmTN7krFan+youSJ/ZVtP4Kz9R1lXtC3oer8cewMhyImdMTcO3gHlw+ sBPfblwHdycxtq8g3tNn4T58kdfO/HPhG3C9lm5Pe8HH+izL/fF29jOFPzFF xIc/xI8QvpXNSDHeHwKnKkPhZDodjk5jZMg40/n+wboMkfWzHdmeaFfR/Ul8 rqGyLO0nB+mrCC7kQ07kRW6XD3wnOO6VPMmVfJnXhXtt9M4yVn2WwhPdPu0r t6+id3Rv2HvUl9/dxzzmGqY3YqJRp30zNO7eAW/166ucvfsM51l4D3xwgBgb rZkr9cySv1s1uJ30D3468ZP4MeOR5x4n3r2JlT9skeGjzilmfayX9bOdLO3v crZPPajPs5xXIS9y4x325Eiej7O2LkY7x8L+Yr+x//T7U5XCFo0Ya3MlUzq2 DvkU4yr4Ya6FHz6z+wjjar2OWSY+mGERhkmGnXEw7j3IO9mf2mdR1tpzjmPn Zx9hQuWemGnJ/fGhwp/op+drKM8sUz+MrRuNbU0b4XBDMY6p3RmrzFpLf4Uh 40zne+Zj/rx1sF5Zv2iH7bFdTc798k/zWdT5KmmSDzmRF7mNq/UGRgiO5Emu 5EvO2VmFfOeFKgUT7e+qtH/vYLlhb8wr6Y/d1k2RVob7VyrjZuXSSCxfBjfL GOJWyQq4XakCNjTogvmlg7CieA8klPDBXIPOWN9zJG6dOKRUmYVn6rNmZ7LC bBwcvxpzDDoioZQf4l/piAUVvfCtfTuglIEMGWc63zMf88vPcOYz9Fc0urlY SHtpN+0nB/IgF/IhJ/IiN8lPcCRPciVfciZvctfVq8rzl6fyVXSP4zDY1h0B x2rKeNuq7ED06z0Jl49+h9Pb9+P24QPYuW49mrl/irrlB6G+sbLmyZk+i9mn sLXn3ZLDCuCzKD6CsjZrhvAbxOP4ud6cyoP8qk/hWnssrC0GwK5WMByMJ8Km /lgZMs50vme+B/sBurmWz2W7sv2cNWKPrz/tpd2031nOqyhcyIecyIvcTm/f JzmSJ7mSLznXE7zrORbMR1J9lucjWdrvQXf+ug/ObRqhg+eD963kPy8QieDe QSjfzBndeyp3tfSLic65z/2px/VRoo1I4bOEh+Eg/RMpaTh67ggu/3seyhnG Dz9/+Nadm1i171sZPvp85ExZL+tX7rmHbJftU49nsb9ed+89OZEXuZUT/MiR PB9nnipnjkX0F/uN/affn6oUvujWWfy2bzMmV+uMOIsQTDcLwbC24zCrXiTm mnpjhkkvMc7vht++fBe8LyH7adZSaccdmWn/Ykbb3pheNUCeORxnGos4M+39 kHq+BvekTLcOxl/BZtjW2A3x1dthlUUbxV8RIeNM5/vp9+1h0d4faRYh65dn G7M90S7b19fnCQzRckjBb1PflXzIibzIjfymm/WSPMmVfPV5q/KSiPbjkZyp wWznt7HMoDvWO3fFjaqKf5JYuiJu1C2Ju5XK4mapSrhVSqQZVsIqJ1/ML0Gf xVP4B75YYtAWi2oH4vhi7p9KUqp+JnvxlZ1lWUjG9k6+WGzQA6uKeyHO0h/D Gr+L39vYIK2YgQwZZzrfMx/zs9yzOis4154kaSftpd20nxzIg1zIh5zIi9zI jxzJk1zJl5zJm9yfkXqqPEKeia+iXWdl6zAJTjx/13gQ7CsPQlO34fhz1xZc 3n0EJ9d+hxu7vsWBPbvRodsEWBmPgbPFp3L9lVPV94S/MBT20me59y6RB89x fCrXZNnnzHEM0e47f8g+ePofTiOEXzVdlLFGo/omsKk7H/YuI2XIONP5nvke Pm8xXLbHdtm+oscUqdej51qGSjtpL+2m/eRAHuRCPuREXqcEN/IjR/IkV/Il Z/K2ecDZYKrP8mJFd67UvGVzUNO1nrxH5HHmVvSf2JhwGDWwQXErczi0cEEP v+4Y0CcGfaOjnuKsY6VcVFQMomP6Ibx3KN7+5D0kZdxCZrpy9nD2I+515JOV nYxbyYlY9cO3MmT8UWVYrzwjWbTD9tgu26ceUh89/Qr6kAe5kA85kVdxKwsY udWTHAtSF/uJ/cV+my/6T78/VSkCoh2vp6bewhSPfphW3R9LxJg7xGMlmnbZ i1ENh2G2XSjmmgRgbAVPHB7/gShzQ7v/teCDCN0+978OrMdEE0/MFON53usY Z9Jfez+k/r2P4qkegMnNeuNci6pIqNcBq8xaYaVFWyyp7itDxpnO95Ob9pb5 c/ew6PaxBMn62Q7bY7tsX1+fAkLTnlVwQ/IgF/IhJ/IiN/IjR/IkV/LV563K yyK5e9lXdAyV4+iFVQNxpa6pGHOXx51XyuN0ZwscDHZCUhnhs5QWY/GS5XGr miFWWPtj/iuBcqweX9pXlO2JBQYe+P7jkUjXnuP41OvDdPM/d+5gnlUMlgv9 Eqr2RKTNFHjVXIprPWoiycBAhowzne+Zj/lZTr+eJ1ZDawfton20k/bSbumr kIPgQS7kQ07kdUBwIz9yJE9yJV9yJu+cMwFUh+W5yrPxVZSHZ1s5OgofxGSw sqe+Gtd8DcSmhA24snMbTq07iHPr1uHvXV/j2MGN8HvjS5hZfw77ehPgZD0O jqbD4Fh9KBxtxwpfYfgDfJYh8g5FO4cJ4pkFO8dJj1j7lXcOSPgRdqNR27Yf GjgZoKFrLdRu+jHsbUfKkHGm8z3zKXM1j2P/YO0asUmKXkI/5a7H/MoPlfbR TmmvsJv2kwN5kAv5kBN5nVp3QPIjR/KUXDkvJc8GG/PEZ6ypPsszFu0dED2H xaJFu5Z4vW+fx5pbyR0zRyAiIhQ1WzqgYvP6aN6tDeo1dYSthzP8gnwwoG+s 3O/x+H6Lzk+JRmRUrAwZ572JgQH+SNi2Cpdvnsepy3/hUXc78knPEv5KqvBX 9n4rw/Ssh/srun33rJ/tsD2220e7ZyWvXo/rt9B+ciAPciEfciIvciO/iIed YfyAORb2F/uN/affn6oUAdHo7rpPwrpQMZavGIyFtXriDYu5MG9wBt1tViO6 0XyMajoM8+qGY0yZjvhlhXJXfFZGQcdauWvBvh0+AhMq+GKW9n7IGWbR9+xb Ufau+OOL6hHY2roJDnerhWW1OmJNHn+FcabzPfMxP8vduybMX9bPdtge22X7 T7omTGc3OZDHPOtwjGo2THIiLwu305IfOZInuZKv5jmdo6zKc5Sc/rqJPa1a YomBNxYZBmC/XUOklCiFxNIVcLWqMUY27Iudzd1xp2J5JJaqKMfkt80qY7WV L+YbBGBFiR5YXtIbK0r5Yo6BD9Y5+eHq8f1KE5xDeMLxgW6+7uqWBVhq0Bpr XvHEGKf34Vl6IbwrLcCujh7IKmYgQ++KC2Q63zMf87Ocfj0FFqG3RjsHQnto F+2jndJeYTftJwfyIBfyISfyGtmor+RHjuRJruRLzuRN7vf2gyrPWp6lr6Ib h9s4joBdjc/lucCuJh/BstJ7GDchAXcObMPptV/hzCbhs6xfjnPfb8fZ3zZi 6NhpsHIZito2n8DRZawYs4+FQ40xcLAdr3cHYu5ed1sxPrfjuV8OX4qfP9P6 KQXZ8yJsdJwMeyd3NLIvBjdXUzi3jIW19UgZMs50vme+gu2lH6r1Wz6T+lFP 6nvfnn9hF+2zF3bSXtpN+8mBPMiFfMiJvM4IbrcFP3IkT3IlX3K2kWefPcme H9VneZaiO0f1TkYqGvTqhvBeQYgp4F5ynpMVGtYLNh3c0cyrE2p3aIE3xZi8 Q4+OqN2wnvh8NkBQrwAxro6Va50e7reECT8gUjzCZxI+wT3+AM84Dg9HeP9w xB9Yh8yMlAfvsdf3VzKScVfrrzBk/FFlWC/rZztsj+3mnl2s86ditXpGPtRn kX6KyEP7yYE8yIV8yIm8yI38yLGg546xv9hv7D/2o36/qlL4opzZlo298Usx rkpXzLcMwmCLiWhnswnu7vsRVGkSetRZiphGczDO9X2Mc3wDf/xySlu2AL/T dOcYJSdievtQzKjK++yDMdN0gHK/o/7cCvedmPhjkvAFdnm7Yr/4PC416YjV FsJfMdf6KyJknOl8z3zMz3L3+isBsn62w/bYLtunHvp6PR4rxV7aP87pDcmD XHrUXSo5NRC82ghuQwQ/ciRPciVf9Wy8l1DoSrDPNak40mugPN9q8SsB2ObQ BreNKiDxtQq4Wc0QK1t2xkTL3vjKvQ0SKytrxW6VKI87tatgXR1PUc4fCfRZ itNn8RG+QmfMNQvDsfnLwfu2ZFNPsD5MmefT4Idp6zC7mPj3YeiDGMep8Cs2 DS1tvhI+vTdQ2kCGjDOd75mP+VlO3uX7BJ/NXH3TpR20h3bRPtpJe2k37ScH 8pBr6CpXkpy+ELxWtuqCm0aVJEfyJFfyJWfyJneFf4HVU+Ux5Nn7KsOUtVPO n8Ol7gRlL7jph6hd7iO8884CXP1lK86vX4HTGw/g/MbN4mcxFv9+J64fEZ/V tUvQwns0zGp/JOoYDgeXUbCzmwwHpyna9V1aHyDnLOHRD9+j8pDH1k74Rg1H w6V+Fbjbl0Izm9fg3CgSNe2myJBxd/uS8r2VyMf8T+K3KXtbRuecqazzrWgP 7ZL2CTt5xwvtpv3kQB7kQj7kdIa8BDfyI0fyJFfJV3Am78fda6/6LM9PsrXf xf96+nd08esm1ykV9IyvWOmvhMCyjbM848q0dSO09umGd/v1k2Pv1l3boqYY 77i1aSzyBctxO+cQ7p3DCZP7QhQfICZfHyBnLqF9S/QZ856if+YjfA/x+zgt 7Q6SU25h5b5vZcg40x+6Hkx71wrbYXv5zznpfKsYxbeKuneuhflpJ+2l3bSf HMiDXMiHnMiL3MiPHGML6K+wv9hv7D/2o36/qlL4otFukL114QC+sArGnBr+ +NhuGgKqTINbk5/QxXolQiqPh0+1OHjbLEU/5ykY3HE4Tp49Kcsp7s6jf6/p zvG9sH8hpph0U9ZpmUcizjRGe4Zx3n3yAZjsEIaznY2Q4NQWq0xaY5VFa8Vf MVb8FcaZvkK8Zz7mZ7m8dbF+tsP22C7bpx76ej1CeeiGdLSb9pMDefgYxUk+ XaxXCF6HEFhlquRHjuRJrvqcVXm5RHdX4Q+Td2K2QQesLNETi8Rn6h8zI9ws URGphmWwz9QdE81DMUf40asdfJCoXfeUWFyM0W2rYGO9Llhs4Iv4El5yLB/P MX0xnnvcAptjP0HqH8pnpEC/FzXKtz6a7ETsbeOJJQaecu+UV9WF8H3lSwQ2 mIH9Lk0BcwMZMs50vmc+5mc5ltdo63tsJlo9qTf1px20J17rq9BO2ku7ab/k IPwVciGfuYITeZEb+ZEjeZIr+ZIzeevzV+XZynPxVaS/IvwBp+Gwr/OZ3Avu YjwI1pWHokPUZJz8eQsufrUaFzduEGPwQ7i0MQHnN6zAqV07cfXwJvxxYDU+ HD0Tto0/gYUYv9uKuhxcRsPZhWcSc42VeOfwxUPWWD3OMwQ2dqNQs3Eg3Jxf QyOHcmjiagmLlu1g6Txehow3cigv3zMf8z9Ne9TXVt4xOVPaQXtoF+2Tdgp7 aTftJwfyIBfyISfyIjfyI0fyJFfyJWfyVu61fLpH9VmeUjQKr80/foM+fcXY O7zgezI4vg7pHYJarZ3QJzoC3sG+MGruhuiIUPl+QJ9YOY736NwCNd1t0KSD h7y7/fU+sdpxfaiyxipaf41VPk8E98lEwrl5Q/QM9cOJK7zTPlu5c/6BvkcK UjOSkC6ehN1fyZDxvPdK3uurpMh6WT/bYXtsN/ohZ3bp6x+ltZv20U7aS7tp PzkM0NpNPkYtGkhe5EZ+5FhQf0W2L/qN/bf50DfK5191V4qQaHLuul8cEo1Z 1XwwpMl09KwyA16WC1Gv4REEVfsS/qZfIsBoMnxM58Kn5iJEBC/E0aRz0HWm JvPhe1p08zjfLVqPsYZibGUZLHyIvphp3vv+uZUaAZhi1Bsr23bCkW41kFC7 HVabCl+F/opFWyyr3lOGjDOd75mP+VluZo28PkuAbIftsV22Tz0ePe+h0dql /Ex7aTftJwfyIBfysW34m+C1QHIjP3Ikz9w77dUP/csourmHvSu2YI5BJ3l/ yJJKfvjV2RF3i5dF0mtlcNC1Aeaa9xSfs56YX9oLCdaByvonzim8VgHXHY2w 1q4LlnJPh9ZnWV7SBytK+2GeQVesrt0J539VzmrRPO5dLdqPE09cmd+gH9YV b4vBtsPgXWIhehjMwCCbkdgT3AJX3MpitwgZZzrfMx/zs1xanvoe2mR2Vs68 CvWl3tSfdtAena9CO2kv7ab95EAe5DK/dA/xb7Gn5EVu5EeO5Emu5EvO5K3P X5VnJ8/NV5GPbs/9RLkX3NloIOwsx8Ol81j8vm89Lu38FhfXL8LZjXtwbtN3 uLBxiXhW4vTunTh7cCOu/boOO7YmIPLdKajbYBjMhW4O9vPh5rgSDs70WwbD xv4R++kfMf9j7fI57D1c0ci2GNyFv+LRohlqdnOFpdvHInQR8aYyne+Zj/mf fP5iuKKv0Jv6SzuEPbSL9tFO2ku7aT85kAe5nBd8zm7ciwuCF7mRHzmSJ7kq e+0nPtFee9Vnebai0X7fc/76JRz4czfeeqMfIsJCC3z+Ffd1BPcKhlUrJ0RG huKN2BjYdGwOt25txc/ROXsyXu/TB+ERvdCwXRNYivF78y6tEBMdjn59ByCS cxT6a7/um0NQztLq4dsD7u2aIrJXb4yePQGaR5wNhqxUpCIFR04fxvwV82XI ONMftn+F9bJ+tsP22G6/h96HGSb1px20h3bRPtpJe2k37dft9SEjt25tJCf+ TG7kR459Cnq3i+gv9hv778DxPbI/9ftXlcKXnLvuF67BJNPuGNpmOryNZqNX 1XFo7LoLLe2+RUjVCfAznY4A4ykIFI93hdnw9pyLzQvHIEV79ltuXXn7Vhmz cx/Hhijhi1TwQ5xlOGaYCX8ln7mVOFN/fFE7Aru7OuOQe10sMuuCNeYtsKpG G6wz9cTKsp1kyDjT+Z75mJ/lWP6++Rq2I9pju2yfelCffH2JPGtkaB/tpL20 m/aTA3mQS0v7bwWn3YLXeMmN/MiRPNU77V9uydbu7Tj5zXwsMmiFFSV6Yt6r gfjOujmSq5RBYnHhj9Q1xvKynuJz5oe5Jl5YUMwHq638cNtK+CzFea9IeZxz MMPSesJPMRBPCW/FZ+G6qdI9xfjeG3NKe+PXIR8jx/9/0PowjbLfJTs9XfgP wJ1jB5DwSjcsKBkE/wYL4Vt6Hno6zcZgm8/wZsRITGgvfp9HjJJxpvM98zE/ y93544Csh/XJedIH/F7O1Ucj9aS+1Jv662yRdok02kl7aTftJ4fVtX2x4BUf waeH5ERe5EZ+5Eie5Eq+5Eze+vxVeTbyfH0V5eHebwfH0XA0HSLvaLevPQIu DUbg0LYEXPxhC85tEOHG1Ti98Sdc2LQGFzYsk2P0M2KsfmL/Blz6cS0ui/H7 t1+vRL/318DWYyJq1h0BG/OJsLcdBwfXT7V3nRR8jG5rNwy1Gn+EBs1roqHt q8J/qAT3th6o170Garu/L0P3ts1lOt8zX63GH8tyT+KrUE/qS72pP+2gPbSL 9tFO2ku7z+h8FfIQXMjn4qbVCi/BjfzIkTzJlXzJ+Un32qs+y7MTjmfJ6I9z x/HPzfMY0C8WkeG8t73g/kpQSBBsPJzkfSDcq9ErNASVWtRHSGhwzvm8cn1U VIRcW9UrNBCurRuhZmNntO3RWdahO0M5v73+8uxf4ftwTZWXfw/0j45G76hQ HLvE9U+afNaF0YfhPdvp2PPXIRw99QvW7N8mQ8aZzvd551mUdWAa/CHqZf1s h+2xXbb/IN10ZwvTDtpDu2gf7aS9tFs531k5/zmEfJrXR28tH3IjP3IsqL/C /mK/sf/Yj+xP9qvqrxQd0a2JOr97EabV6YoP2k5DzyqzEGAyGf4mM+HY4g/4 msSJMfqX8DeeJtKmItBsCnzLCf/F/XMsC/bH73PikZZxJ6dOjZ7fouvq5LvJ GNviLcRV74kZFv3FuCX8vn32ujvtJzuH4XTn6ljj3gqrjFtpfZOeWGvSHUuM lZBxpvM98zE/y917173evnu2J9pl+9SD+ujrp9wfketb0B7aRftoJ+2l3bSf HMjDT8uHnMiL3MiPHMlTn68qL6Fox8tJX8/EimLNsaykP+KLeWGZjS/+MaqK O8XL4WoVIyx28sfSEp0w2S4M8eXbY34xP7l346ZdVdx6rTzuvlYWf9rXxTyr EMQb9LjHZ4kv6YOE13wwz6AjNoaMRNJfB2WbGt19PdrPZXZm3jFDNg4tWoBZ hh3xVU8fvO02FtOsYrC4lh8+th+B9uarMVv4DgwZZ/p08Z75mH9W5Y6yPPLc qcR2cv/9arR6QOpF/agn9Y3XzqnofBXaNa9OiLST9tLum/ZVsa6uJ+Yb+CJB cJlsGyY5kRe5kR85kqfkKviSM3nr81fl6eVF+Cq6OQzuAbevNRZO1T9CXdvx sHUdgq82LsaVn3fgvBiLX9y4FOc27RTPXvHzMpzfGC/G6StwetcOnDywEaf2 rcP1gz/i+m/bsXvHMgwbPwMtfb5EHYuRqGkxBnVsP4WdPe+gH65dH/YYj+Ng 1LMdjdot/eDStIrwR0rCzUWEzWvBqasJrN3elSHjMl28Z77aLX1lucc9J4z6 UC/qRz2lvkJv6k87aA/ton20k/bSbtpPDuRxbuNeyYecyIvcyI8cyZNcyVfu tX/KvSuqz/J0ohvLXv7nKs5ePYWsjCQMeHMAIsNCC7zfu090FAIDA+DQxAF9 YiLE2DlMzhk07N4edTt4aO8/zB3nc41UbFSUGF+/gYCQADi2dEHtRnbo7N1F +gT3390SJtsICPaDcwt3OZ7nHvOQwEBMWTwN/FtwzxyL/Dld2JiGH44fwrGz f4g8qYjf840MGWe6Rt5zn67Nr382WLasl/WzHbbHdtk+9cjZb693hwr1pv60 g/bQLtpHOyO168MU28MkD3Jp2L2DnH8iL3IjP3JU2iiIvxIh+439x35kf7Jf 9ftZlUIW3V74pETE+fbCO00noKfRLPiZTkUvzh/YfYNGbrsRUnmCGJ8Lf8V4 qnwCTb9Ez8qzENViLJY2aIl1jQLxe3yC6OfE3KqzsnLOH7q5ayriqrXFTLlv pe/9+0w4t2IRgCnGoVjdth3OdKqKBKt2WGXaGivM/LDKrLu8d2VxdeX+FcZl OteEWSn5WY7l4/KZt1Hmbvoq7Qs9qI+iY+Y9fgr1px20h3bRPtpJe3W2k0Mv waNxfc4/bZFzK+RFbuRHjuSpz1eVl1C0fZdx4zYSKoVg2SueWP6qt1y7dMq1 Dm4blEdS9XLYV68JFonx+mwT4ROY98aKEh3kfvP1tl1wxbE67rxWDsnFy+BI PSfMMo+QY/t4PZ+F4/0VpTi30AnLrbrh1IGjkH5Eno9Opvgbkfzrbvy2ZAl2 vD4au9q0QEqlctjTxAMLSgVjCc9NNvFBTIOJ6FR5NabUDBLhGhlnunwv8u1p 7IEUw3KyPOthfayX9d9rP6Qe1Id6UT/qeY+/pfVVaNcRW0dpJ+2l3bSfHMhj hlkvwcdXciIvciM/ciRPciVfciZvff6qPJ28MF9F66/YOo+Ak9XncDYeAifH ybByHoxlaxaJcfdXOL3la1xYvxwXN62QZ19d3LQJFzYuF0+83LdxZucWnPvx V5zcvxUnf1iJiwfX49qvG3D8xzVYmbAW70ROgXvrKagpxurmtYQ/ZMN77RUf 4WH3JtoKveo6fYo67RrA3bkUGtiVRONmdeDa3AjO7Y1Qz+VdGTLOdL5nvjrt 3GQ524ftEdH5KOJn6kO9qB/1pL7Um/rTDtpDu2gf7aS9tJv2kwN5nNn0owhX Sk7kRW7kR47kKbkKvuT8PPwV1Wd5fOE4lvd0HD51FJkZd5CuScEbIz9GZK8Q eZ9HgfyVGOGv+PvD2d0JfftE5cxB8Ht/oxZu8Az0Rr/oKL25iTC5Rz0yQvgC UZFyP0dPkcfWwxHWTezl2ivd3S0sw/F+fxFv0qEFOnl1VuZhWI8Y50f2j8LZ f3iWUhayuY6L/oYmHZlZydh74mec/PsEeLp/WvodJAh/hSHjTOd75mN+lsvW nmPM+lgv62c7bI/tsn3qQX2itHeoMO7p213qTf1pB+3pI89Bi9Te1RKWO0ck ypBHNcFFN48l6xLcyI8cybNA/oroL/Yb+4/9yP5kv2arcyxFSDTaPbRp2Dpm OMLqj4Z/tTj4m3D+YCpCjCbDofFheNZcgsBqk0R6rs8SYDYVPQznIKrlZKyp 3wbLyjbB2vZh+Gt1PLIylfF6llyTn41dezZjvGlXzKHPYBZ5374V3VqwCdZR +LVrHRxys8LiWl2RYOqLFebdhI/SEivNtPvtzdrKONP5nvmYn+VYPr81YXIf i2iX7VMP6qORe+mV38HUl3pTf9pBe2gX7aOdOptpPzmQh33jXxFcbYrkRF7k Rn7kiCc8M1mVIiS6ucG0bMyq+7YYl4vPYwkvzCsdhN11myG5fGkxPi8t1zPN MQxGQvEO+LJmOBZW9EJC6Y7CP/DDSttuOOlgiaTXyiK5ZGn8alMfcVUjkVBM z2fhmL+kF1aW5PlhnGvpjt0fjcJd8RlKu5GIk98kYP+YlVjfJhSLynKvfivM e9UTf7lY4W65skhw9sHcYqFYUM4H06r1Qrc6q+D9ygJMM+wpQ8aZzvfMx/ws x/Ksh/WxXtbPdtge22X71IP6UC/qRz11/gr1px20h3bRPtpJe2k37ScH8pgi uJAPOcn1dIIb+ZEjeZIr+ZIzeevzV+XJ5YX6KvLhOi3ecTIOzqbD4WQ/CjWd hmDeigW4dvhrnN/xjRyHSx9l09c4s3E/LsqxOsfsy8Q4/Wtc3voLzh3cglP7 1+DkvjU48cNanBEh96Nf/Wknjq2Jx4J5q/H6oFlo0PEzWNoNhYWwy6beUGXO xSk/f0WMv+t/CNeO3E9fBm6OZdGwgxuc29WGc6sqsHb6WIaMM53vmY/5Wc7W /v71Z2yH7bFdtk89qA/1on7Uk/pS7zNaO2gP7aJ9tJP20m7aTw7kcUGmLZec zgle5EZ+5Eie5Eq+yjkAz2bviuqzFFx0Y9i//72Wc4dJFlLxyaxRCAsq+HnG HF8H+PnAzc0Z/frmrukaINLb+3rCuJU7+sWIsXuEbi9K7jhet06sb3S09FE8 fbuJsT/vbnERY38fOfbn/EVoaDAcxBif+zx0d1nKfTMB/pi3TnsOUSbvNc5A evpd7PnzIC7euCDjqZnJyKC/svcbGabKNV8Z8j3zMT/jSnmNrC84MPe+FbbH dtk+9aA+io/lI/Ws28RB6q34WNE56750fhntVfyScMnBuLU72vv1kHx0rMiN /Mix4P5KpOw39l+W/O5OuTuG/avf36oUrujWLB09+hVCG34Ev6qzEWCqrP8K MpqIbnUTUL/Zz+hV9QsxNp+uHbcr8wxBJpPR3XA2envMwLoGHbCqYlMsNmqF r7r2xumVi8WnNkPWvX3cJowt3xOza7yBGRbB+Z7jNa1aMGY28cflpqXxVTMP LKvqjxUWXbGavgrPAzPX3m8vQrnfnj6LeM98zM9yLM968jt3jO2yfepBfSjU j3pSX+pN/WkH7aFdtE/OK5no5lamSw71m/4suZCPXB8meJEb+ZGjPldVXlLR 3cko/lvaLkretbi8tA+WibH7Wsdu+NeoMu68UhYXG1ggvqJIL94FC6v4YHqt MMSLn5eX6abcFWkdgKN29kgSY/SUMqVxxN4NcRXCRX1i7P+ql1wLtUiM7edV CMJyQ18sreeP7yxdcaR7YyxtFS38hXaYb9Be+AyeWP6a8BGK+2KRcQhuVK6K v21MMatqGBa9FoyFZb0ws0IveBdfht6vTcMCU08ZMs50vmc+5mc5lmc9rI/1 sn62w/bYLtunHtSHelE/6kl9qTf1px20h3bRPtpJe2k37ScH8iAX8iEn8iI3 8iNH8iRX8iXnNN1JAOrfh6eSF++r6J6hcm+Fg/lw2NsNg6XTUMyIX4hrv6zD id1bcH7jajmfcGkj7xc5gPObtijrwjbF4/K6r/H3hk04u2UjzuzfjjMH1+H0 /tXiEWV/WI2T+zfh0o7NuPm18AUObMfRfRsxb+l8RLw9GY4tRsC8zmDUqZtn rRjvbeFasBZiLNiR96tUhFvjqnDtYA/3DnXh1KoqLB0nypBxpvO9zCfy127u I8vr1oTp1nyxHbbHdtk+9aA+1Iv6UU/qS72pP+2gPbSL9tFO2ku7Ffu/lTwu 6eabBCfyIjfyI0fyJFfyfZp7V1Sf5elFmVvR4PDJ35CecRuaTI5xs7E4Xowb Cvj9PtdE9Y2Nho9Pd7i7u6B/v9iceRTps8RGwaJtI7T07iJ+jtaeBUZfJXdd 1f1rq6LQ2bszajeyFT6CqzwLuF2PTmjdtV3OWjFln3kEonr3Rv+P3kJi6j88 XAUpqYnY+/sP+DvxsrQpSfgimdn0V+5q/RUlniR9lGyZj/lZjuUTU6/L+liv 7r4VnV5sn3pQH+pVu7Gd1DP/NWzhWvuiFJ9F2E37W3p1Fjwa5/gquvrJjfzI kTwfvK8/f3+R/cb+k2vjMlNlv7J/5f2B6t+jIiG6befJWXfgH7YQfuUmw99M b+1TFTE+b3gQ7equRbCR8FnkPpbcMXyw8WR0M5qLoJZxWO3QDutMWiK+Wmss NWyMrbHDcfXYfhyM7YapZSMx0yL/M4zjzP0x0TIc2zu54XqTclhqFYJVpl2E b0JfpY32POM22vOMtXGmi/fMx/wsx/KsJy7v3hitT8T2qQf1oV5bY4dJPakv 9ab+tIP20C6db0Z7aTftb2+9Bq4Nf5RcctbICV6Sm+BHjjlHg6nyEouuBxOx o00bLDbgub3eWP6KFxZWCsBlGzO5V+Nq5eqYZ9ZLjMe7I75EZ0yr2RvzDAMQ X7qjGId7It7AG7Msw3DE1hUpxUshrXRJnKhnh8WGflhWwQfzLYOx07kldtdp ikvOFrhe1QgpRuVw16AUrlgZYb2d8HnK9cKK13qIOr3l+H594y5IrloGe+o1 RZxhBBYXD8TC4t6Y5xCBXuVmI6T4DCxr7ydDxpnO98zH/CzH8qyH9bFe1s92 2B7bZfvUg/pQL+pHPakv9ab+tIP20C7aRztpr7Rb2E8O5LFccCEfciIvciO/ RYLj8le8JVfyJWfyvpe/KgWVwvNVFH/F1uFTWNvNQD274agpxtmzVyzE1Z/W 4eyBHXIf+YWNCdo5lg04vfFnMV5fiYtfrcTfa3k3i3i3Ybncd35+z3acPviV 1mdZq4z5D2zFma/X4dyaZTj7/TZc+/VruXd9/3crMeKL2WjWbRTM6w6GNdeK 0W8R+tR1HAmrNh5wbVUFrvVNUb9dNTg3rwb3tqZwbF0d1V0myJBxpvM98zE/ y7E862F9rJf1sx22x3bZPvWgPtSL+lFPfb1pB+1RzhlYLu2kvbSb9pMDeSjr 4xIkJ/IiN/IjR/IkV/J9Ef6K6rPkL/pzKycv8zzgLGTyfF8hXx3cjsDegXIt U0H8lX6xMeguxu3ujRtgQL8+OXtVdPeC+Ib4oUrz+nIdlbx3Rd4Dmf+as7x7 19t0a4s6wi+oYmMB/yBfvKm3d103xxIUHIDvfvke6ZlJ2PvbLvxz56q0S8Oz jFNvy7sf0+X8yhYZMq6kK+u/mJ/lWJ71sL6cu+y1ZwSwXbZPPagP9aKf8LAz ApRHsZd20/7KgoNviP8999yQF7mRX3fp/8QUzF8R/cV+Y/9RlP7Mkv2rzrEU HZE9kKWsj39z4BT0KDUdgea6NVDTEFBtMrwt5sO+6REEVssdv+fs5+A4vvok dDeZh5BO07Haug3Wmgg/omZ7JJRuhKUNuuD9D8dhVK1BmFtLjJeMe2KaeZC8 D0W3z366USCmevTGjWaV8LNLYyy39sYa0+bCH1HmVfLzV2S6eM98zM9yLM96 WF/OvnvRDttju2yferz/4VipF/WjntSXelN/2kF7pF+mtw5MnjVQbRrsmh2B l+BBLv7aPORFbuQn9wFkqaOt/weRdxaK/vwtnHdGdhFj8J5IeEWM68sH4gfb xkh9tRRumlbCTvcWYrzth+VlOmNxaR9MrhOO5cV7YHmpTsraKYMemGjUHz/V b4SbFlVwtJEd5raOwLFmdrhhWBm3jSsgrURJ3OaZWiXL42apSrhZ3hB3S5TD TePK2NeoEeYbhsgzuOYLn2O3cTOkm5bERtdumGPQGwvLBGOpgRfGeLyJnoYL EFpiOpZFhMiQcabzPfMxP8uxPOthfbJeUT/bYXuyXdE+9aA+1EvqJ/SkvtSb +tMO2kO7aJ88T4Br3KTdPSQH8pBcBB9yIi9yI7/5giN5kiv5HhGcyTv7Ce7Q VEWRwvVVhuXMQdg6TUM9+xGo7TwUi1YvxJWfVuHkgQ04u0WMyTcs1e7ZWIqz G3eLZycuf7Ucl8XP59avUNaHcUy/IQHnt32j+Cica9knxv0H1uL83u3KHnXx /sT323Fy/wacP7AG13/bgKP712DUlNlwav0ZLK2E7Q6foI6w376j8EGaGcGt RQ24tK8Et2bGcGlZHo5tjGHY5BMZMi7T+V7kY36Wk+VFPayP9bJ+tsP22C7b px7UR+ol9KOe1FfOqQj9aYfyfrm0j3bSXtp9bsNOyYE8JBfB54zgRF7kRn7k SJ7k+tjnDKg+y3MR3dzKL5xbSb8tEtLE7yyuj8rGiavHEBUT/tB7Rh7kr3Tx 7oAGLRrn3DmizC2EKfvLY6Nh17klnLq2xpsib0RkzAP9lbx+y9v9+6ObT1dY 1q8H66aO95wNLH0BttM7FG+PGSTPZE68cx3QnXGsSUVy6i3ljns9f4Vxma7R 7a/PlOVYnvWwPsVfuPcMZrZPPagP9Xq4n5Lrr9Be2u3UpbXkkHv+gI6RchcN +ZFjQf0V9hf77cS1Y7IfZX+KfmX//qLOsRQd0Z3llXIH7709CV7mwl+plmd/ eZUJaF5/J1q4bEdI1XHwNZ2eO5bX5gk2Ej6L+VxEeo3FGivhrxi3xlrhVyy1 64BuXRLgbZaA/s1nYqLbO5hbw0/4D76KH2ERgC8semNbj/ZIt66I7S1bIL5a G6yu0TrXXzHP46/opTMf87Mcy7Me1sd6FT/FV7bHdtk+9aA+1GuthWhH6El9 qTf1px36Zwvw8ZXnF49DC+dt8HDdKXncc/6A4EVu5EeO+lxVeXlFd2fhwXFb MdegHVaU8ZV7OLgu6lundvKO9lQxjv/evDnmlOqF+FJdEV+c+7SE/10tFAsr 9sSiqp5Y5eKFPRZNcbihC75u3B0zDMOxsIQ/vnZqjzsVyiHx1Yq4Uc4QiWUr IrFM7nOzXCUklhK+TMXSOOrkhITaXphTvhd+cXFCokllzLYMx6LXAjGvtGi7 eDe86TwGXcvFI6z0NMx9L0yGjDOd75mP+VmO5VkP62O9Rx2dZDtsT7arpwf1 kvoJPakv9ab+tIP20C7aRztpL+2m/eRAHuRCPuREXuRGfnJ9meBJruRLzvrc VSmYFAVfRbmHhXtJeL/7MNi4DsOmjatx+ecfcPr7zfh783ZcXLcFlzZt1u4x X4HTG34W4UZcXrkCl9avxPlNCdo5mAS5j+M851N2bRNj/y3CD6APsBHntm8R 75YJH2AlLu3dgVP71+KvvWtwdv86XP91A/Z9vwJ+r0+AhdVw1G4aCueOFdCw rSVc21SAW9uKaNC+vvA9DOHUphrKt3pHhowzne+Zj/lZjuVZD+tjvayf7bA9 tsv2qQf1oV7U77TwY6gv9ab+yr4dxSbaRztpL+0+I+1fIXmQC/mQE3mRG/mR I3mSq43DU9xDo/osTyU5Z4L9ex0nLilzK/KuEd5FwvFt5l288+kgRPTq9dh7 7uVciBh/d/Buh/rtmmNA3wGIiIhS7k3U7t3g/Ydh4SGoyD0pwT7oG9NPpEfg QXet5I7DwxDLs7laNkRI7wC5P72xvHvRGs07t5B7St7u3w89/LxQp5kDDp// WdqXxX0o2jON73KuQZN+r78i4nf17oyU+YWwPOthfayX9TeXd1xay3bZfrDQ g/pQr+hH+iph0k7aS7sreTgjPDxE3mWv28NDTuRFbuRHjv1j8j83Of+9KxGy v94ZMQjpWXdlP2pyzjnLkv3M/tbvf1UKSbT4U1MyMS38PXjVFr5I9em56764 t974S/HMgIPHUfiazZV3kPgb3zumZ94go8nwrDEbb/l9iLV1WmCNUQsstPVE 5yZbEWw4A14ms+HrGI93WkzHl66vSz9iZmVfTG3eB9ca1cJ1+wpY5twRq7V3 2ks/xSJ/f0WXznzMz3Isz3pYH+tl/WyH7bFdtk89Ogl9qBf1o57Ul3pTf/88 vopyfvEU+JnNgVPz3yQH5Xzn3HVi5EVu5EeO+lxVeXlFd3/O7sXbMNugM1aU 5PlYPnIN02LTAFy3rI4kg9L4s2k9LOceDZGeUKoD5pYJxpIGPfGTvRsu2Rrh WvWK8j73lGIlcaNKFay298GiUn5YVNYP25p64I6h8FlKVLrPX5Hx8sJXKGuI pFKl8U+d6tjUpDvu1KyEw/UcMbuS4q8sKBWEJeW64p0yn6P7q8vQu9x0fPFx tAwZZzrfM5/0V0Q5lmc9rI/1sn62w/by1UPoRz2pL/Wm/rSD9tCu/7H3HnBV nFv3MMao2CtIEQUDKh3FBgiIgiI2ei8Cii0mN92SxGiKLbELYgPF3rumaew1 amJir9hQEXtBhfXt9cw5CJa0994b7/fP5Hcyzswzu6y9gL3P0+gf/aS/9DvL NURwiFF4EBfiQ5yIF3EjfsSReBJX4kuci+P+z/HHj5ejVtE+DR0GwtH5S8mt p6CxSxp2rP0G53/cijM71yPn+3W4sPJrnF/xPc6t2ISLKxfh5Orv8MvaHbi0 /FtcWMt+itm6Ofjzn/S1LJ+Hs+tX4cwWzmtZg9O7vkf2qsXIWTMHR9cuQva+ 73F692KpHxbh2FapIXZKjfDjKrz/+SKYeQXAxdsKLm3s4OxXTeqSOmjcsRlc fcvD0ccYldonqDOveZ/P2Y7t+Z6Zd0clh/Iol/Kph/qol/ppB+2hXbTvzJZv lb20W9+noveH/tFP+ku/T6z+XuFAPM6v+E7hQ5yIF3EjfsSReBJX4vt3xPWf mkXXtyKfH4//jAf5N1RuW7TvyEOtj2XawmmIioj4g3uAaPM1+qT0hndwABr7 t5G8u4/k+axFmI9rczcSk7qr/oPGfq1Q1dkG8d04N6T7b9crktOznyEkKlhq cDc1p4P3X++VovYsadymOWzdHdC0rTucWjdHVGQoFny9UPwrKNqLpUDqsNsP OU/lgbY+mNQr2vpgD9T9gsdP9lwpKHys3qccyqNcyqce6qNe6qcdtId20b7f 3lszQflJf6s62Sj/iQPx0GqVZIUT8SJuxI84Es/kpITfxkc/Fozj4SRejJvq W3lYbB+awgcqzow34/5PvfI3H/p1kO4WYGr7fkhpOwQh1dO0OSzMx+UTapaK GOOv0MZ6BZo6bEZ0Le6Z+HReLx+zCYisOR6B9Sbjk8i+WF2/OTLqRcCv8feI 5PgpU6l7ao1FkMk0hDvPQX+34Rjm9A42Bfggv5YBdvu8hnk2flhs1lrXh/IH 6hX2sUh7vsf3KYfyKJfyqYf6qJf6aQftoV20j3bSXtpN+5/2iX5GG41DU/vN 4v9KhQPx0ObhT1Q4ES/iRvyIY3Fc/zn+dw993vzr1/OQWaot5pcN1dbzeiUQ s6qFY5+zs+TqhrhiWhsZ1aOxoFRXTKsUgvkNg3HDsTpuexhKfl4B16qWRW7F KrhWqQZulq2EGzWqYWULf8ysEIasiiHY08oFd6pVRF7xmqViNVU75FWppuqI PLm+b1AWJ9zrY4O/L75p1wEzq3Lf+BiMK98dc+sFYIDrp+hkkIX4yhPx8Ud9 1ZnXvM/nbMf2mfLe1/I+5Zxwt1JyKV/pqVJNV7NUK6pVaBfto520l3bTfvpB f+iX8k/8pL/0m/4TB+JBXIgPcSJexI34EUfiSVyJL3Eujvs/xx87Xp5aZRBs Hbmn42g4OGbCruE0NPEahoObORdjEU7sXIzjm1dLvj5P15ewSnL2jZKnf4d9 e9Nwcts8nF8o16uY+8970sei/zDv5xix9StxepPUNju3IH3oJLg2H4qUlMk4 LjXCye3rcHTPEvy6dwV+PfYlrp4Zg4HjU2Fh+jGcnL6Ercu7eM1+CKxaDIS9 b2M4tauISh1D1dnet4ncH6Ses52T01fqvYET0pQcyqNcyqce6qNe6p8sdtAe 2nVG7Mteoa9TnvKB8+vFP/p5cttc5Tf9Jw7EI3vVXIUPcSJexI34EUfiSVyJ L3FupPa3/6dm+W8dRfNWrl3G0WJ9K/rc9vEjbV+3ncf3IDYxFim/OV5LNz+F fQOSdzO/9gxsi2YBnnide7UXW7dY38eQIm3CpRYwsK4DGw9XxCfGIVHy+Gf2 epFr9l0kJ8QjRT5Obo3RIaA9eiZq63Rp9UEi3u33Olp1aIMq1qawlrqiXYAf +g/j3sX3tf6FgnuqDrl3n2vMS97+QFevPNDqFd7nc7Zje77H9ymH8iiX8qlH jV1L1vTTDtpDu2ifspO13VN+0C/6F58YL/42UX5z/ktKSvG+JQ0n4kXciB9x JJ6Jur6X4ng/78M4MV67JG48HhfbN1Pfx8J4M+7FefDP8TccOui5heIClwQM dOuHTvVmSF4/rkTfCcdExdaeiMbOO9G13iJEcc3jp+sVXc0SIbl/13rp+DIk GQsbhcPXeRUiuZaWLsdnf0Wk8Wh0rDkXCaEzsadDc1xvXAUbWjbGXGNfLKn7 pF75vfFgag6LtOd7fJ9yKI9yKZ96VH+QTjftoD20i/bRzogX1SryoZ+B4q+L 8y7xXxsbFl5iLNg4hRdxI366rSj/qVf+f3Do9w+6vmQU5hu4Y065CG1v+rJd MYN73Tf0xN2qFXDFqBaWNwvA9FeiMd8xFLkmFXG/bHmsS/TCnhaOyC9dDlcr GaoxVRxrdaNcFdyoXgUbPVpK/h+KWRXD8bOb1D7VKuBq+Rq4VqE6bhhWwc3y lXH31fJ4UNMQObWNcKtRDUxs1wPdLVIx5b3u+CmoGW5JfXG+lDGuNqmC6W8m INosE0HVMvHuwDfUOdosQ93nc7Zje77H9ylnksi7KXIpn3qoj3qpn3bQHtpF +2gn7aXdtJ9+0B/6Rf/oJ/2l3w/Ef+JAPIgL8SFOxIu4ET/iSDyJK/ElzsVx /+f4/ePlqFU+VHMq7By/hJ39ZDmPl88naFB3JNxiRuHXXUtwZsdynNyxSD4/ IHv1sqI9R7JXLcTZxTtxdHc6jp6MQPaGRTi1cg3OLVuKc5x3vmKBfOZpH931 meXzcUXe/37hejRoNg31bUbByPgjJHz2Gc6eGoODxxORc6gzLh5sg1P72uLa 9wvx4VsTYdVgpLLTweEL2NcfDhunL2Dt1wJVwpqpM695n8/ZzqrhSHlvkry/ QMmhPMqlfOqhPuql/oZiB+2hXZxLr+xW9ups11+LX/SPftJf+k3/iYN+Lxri Q5yIF3EjfsSReBJXha/C+UvdXJZ/7z73/9Qszz/0fSt7j/+E+6pvJf85+8Hn 48GjG3h78Lu/OSZMG+vVUztLLv16jx5w6+KD5h29Je9OKbE35JN8OxHduneH jZsrSpmZoLW/HxISYhAbH1VUs6hzN/k7EB2JXq+noPew/ug6IB4fpQ9H3wFv I47tIyPRr2cK2nT2g23rlpL/cx/JUNi1csFrbo2w/qdvdQ7n4+HD21KXsH8l /6l6JV/d53OFgxx8j+9TDuVRLuVTD/VRL/XTDtpDu2gf7aS9tLu4H/SL/rX2 90UpcxPYuLsq/7s/ZxycVq+kKPyII/FU66UVw/m3xoK9/cm7Km5q78uCeyXj Kv4x3oz7P30sf/OhX7f17mMsfC0W6W0DEdogHeFGT+XunG8uny51FsDVYRvi a2n7Sj5Tr+jX1Koleb75DAwJGYZO3rMRWX2M1AS68WVm4xBWfTr8HNYitXUk Fpj4Y4lPMNZGdMUcqyAsMG2DJWZeRfPsn9u/opt3z3Zsz/fWyfuUQ3mU6+e4 VumhPq2WmqjsoD20i/bRTv1aZ8/2rUwQPyeLv1vQ2WKB8j/s6baCE/EibsSP OBbH9Z/jf/go0GKZv2szFhoGYM6rwUV7pnCdsCzrMFyuJXl+pXLYZt4SsxpG 42at6rhWpRzuSe6+wcsd/YP64yf7prhT1xB3yr+CG2Ulz2c98EpVtQ/KvhZS B5QLw8zy4Tjk6ASUKaXqg1yzGrhqVRt73Jpgo01rzGkajmlW8vvdYzQ61F2A WdI+o1IU9jQT2bWkZqpZBXPsQzG3ahjinOXnt//n6sxr3udztmN7vkd9lEN5 lEv51EN91Ev9tIP20C62p520l3bTfuWH+EO/6B/9HCD+fi9+03/iQDyIC/Eh TsSLuM195cleLsSV+BLn4rj/c/z28ffWKpw/8ZG2XrDjcNg5pMHeQfJoh0/l /kA0ch6KemZjENd7Ik7vX4qT25apMVTZuzbi3OqlWv+Drr/h/IpFOLz2B1z4 qQcu/hiK7B19cXTTSJxaI7XJutk4uWYxTso7PJ9eNwenV2bh0qYl+GBIb5g7 hcGmkzNc2hvDxr861mzywN3dbsjZ0gK5OxxxavPbUt+sxPlv5yOo23jUe+19 OLumoaHzBNjZfoh6TQfBMKyDOvOa9/mc7YKSxqv3+D7lUB7lUj71UJ/SK/pp B+2hXbSPdha3m37QH/qVveN15ed58Zd+0/+i/iTWNsRn1waFF3EjfsSReBJX 4kucibet4E78tfWW/3vzWv5fq1mK5q1cu4Ij5zgnu2TfStGYMF0fy5x18xAV 9fSYMObP+jkXKbr+BG2+OXPtFp1bo2WXNqqf4EVzLxKlfbugzihrVx8VXB3Q OTwYCd2iERUTrq35FR+PxJREzFg1GxdvnMfBC4dx5sZp7gSJ2w+uYeuRXRg5 bQxa+HnAoVVTpPRI0vo8uiejX5+eaNfRDz2G9cOe03tx9cZFsC7J5/ycwpL9 K7zOV30P+aod2/M9vk85lEe5lO/g2VTpo17qpx20h3bRvgtiJ+2l3bSfftAf +kX/KjSxR1l7a+V34gv6SZJ1/SvEjzgSz2T9fPxkbX0xDfekErWOGgsmcWK8 eBQU61t5uo+FcWf8i/Ph/41D20tQ/V//P+6jyf3WC7RPgfzNfv5H14bfQfL3 g6r3nsj886Zo7zy6+wirGkVijo0PovwmIbz6s30OYabjESv5u6P9DrjX/wHR tdPVvefl+tyTJKpaBgLsF8EnciGCqqRJvi91g7nclxqii+USjOjQFyvN3LHQ qDWWuXvhcpNq+LVVYyx3C8Zsq65YaOKDxVyz+Dnrg/E+n7Md2/M9vk85lLfS 3B0jAvoqPdRHvdRPO2gP7aJ9EWbPt59+0T+P+hvhJP7G1nqOr8RHcCJexG21 4Ecci+P6l3jxHE4U/AYnCl/AicJiMv85/sKhg+2epM9TrN5UexrOLafVLNqY sDAcc7HG4zJlsCe4CS7W4Vq9lZBbtQryypVDrqcZxjRMxiiznljl3BV7Wjnh smVNXKplgry6ku/Xroq7VhWw17c5JlRKRlrjFMyNjMVuy+ZY4BmMdOMkTDeO w6SySZhpEIFplePRrsYifPDaECyp2VHl/NMrRWOZXRdkO5ggrXIilhh0wFSH GCSOHaLOvOZ9Pmc7tud7fJ9yKI9yKZ96phvHKr3UTztoD+2ifbST9tJu2k8/ 6A/9on/0k/7Sb+W/4EA8iAvxIU7Ei7ipsWCs/bgPpeBKfO89Lon7P8eLj797 zWKtT0VyZvsJz+bM9h/BofFnsDIZgY/fnYGrv6zSzflYguyd6yUfX6TrX9HG SJ1bORfH167Ela2xOPVjtNQFfri0pzku7fLBqZ/9cXhvNxzZ1UvOCTj5UwBy dnvj8v62SOpbDQ5OFdGsXTW4+lZGg+YV0G+kPW4cDcBlqSsuSl1xbLPUB0sW 49LXS/HN1wvQqOUgNLSfBMfGk8XOAWLvEKk1xqozr3mfz9mO7fke36ccyqNc yqce6qNe6qcdtId20T7aSXs1u7spP+gP/crd7id+xih/j69dofx/MmZsnobP Tm3PTOJG/Igj8SSu2r72Wq1oJ7gTfxUHx091fS3/rHVc/Cj8N3wnXqJv5cHz +lZ09Youtz177TSS+3ZXfQb6vpEX5cz6voFmHb3g0bUN+vZ4fr3C9Xw51zwm LhKWrZqhgocLrN2cER0Tqua1h0dI7dKvB/ac3K/ZLPbsOrIHjzkvXs0z0fpB Tlw+jOELxqH7Gz3RXeoDlc+rvF50xCdg4MiPkJ13CpsObsbmQztx7Q5z9EI8 FDnztqxTZ17zPp+zHdvzPb7fPbmbTl6iJv/Nnkof9aqDdog9tIv2aWPJoOym /fSD/kTHhCn/KoqfVq2aIyY2Uvnf4znj7LS9NXsIfj6Co+dz+qieqhX1fTQS H8aJ8WLcCp5Tgxb1sTz49/Wx/Ds4+R85CguK6o/Hjwq0dFLd/3frKUpx1b7t ar9C5ru/p0yH2eMbd7CiURRW1muG9zwHoGPt6YgyGVcyh+f4J5OJCDJbAjuP Q4g0XiBtJsuzp3N+9lmkIspoDrpYTcebMUPRy3UYOhpNQ1yN6QiquwgfRfTD Kmt3LDL1QVbdDtji5oiblga4ZmaAqw5VsE9q/yVNAzG7XicsMpGapU5rZJmF qjOveZ/P2Y7t+R7f3ypyKI9yKZ96qI96qZ920B7aRfto5/Psp1/0z67VIfF3 qfg94Znxb8SHOL0veBE34kcci+P6omCpxwVanLR46WvXfw8diqmCTpWOf1p9 Q16+nMdL9DOsX4ui4AEyvHtJXt0Jcw21emV+mUDMKBeJTdaeONbEDlMtE5Bb rRZulK+izQUxLIs8d1NkmUZiuGUKpr4Sh6m14jHFNAJpLRKwwscf633aYqln B8xqFYX+zUega+05aGO+Ah/YfCG6gjGjbLSaHz+rQgRmvRqOSc4pUjNnYqjT e1hsEIDZFULEjiBkcs/JZsFYYheMaWVisKBsZyzs0Fmdec37fM52bM/3+D7l UB7lUj71UB/1Uj/toD20i/bRTtpLu2k//aA/9Iv+Dbfsqfyl38p/wYF4EBfi c8zVDpte81S4ET9t7eNghSvxJc7FcX85jpfKGHXo/86dvPB31Cqco/KJ5Mjj tDFJDqPk+iOUHJP0kdgzFFaWH2PM6Cxc+2m9bt/EpTi9YyWyVy8oMZ/j/LLF +GXzOMnl2yN7ayAubumIvO2tcWUHc/vmuLa9Ca7taCxnV1xV1y1wfk8LdIiu CRfrqmjS1gIubSvDybMqPOKr48RRf1zb5YELe6RuWLMQ55fPxdH165Dz8xq8 89lEWNT5BE5O2p6LDcUXo8bj1JnXvM/nbMf2fI/vUw7lUe6Jox2UHuqjXqVf 7KA9tIv2aXa66uxuovygP3nbvcW/TuJnEHLEX/pN/0vM1xF8iBPxIm7EjzgS T3vVv1K8HvlQ4c84MB6Mi63y5b8zt6VEzXLhXAl+vuyHPmcs+rzgZ71o3kre FRzO/hUv6lsp+X18AcZlTVBjoHrwu35Vqzx/TJK+Xmni7wnvwLYvrlck/++W EINE+fgE+MLYsynqt3WHi2czld/HxEdj9c6V4NrCKHyIU5eO48j5w8regkfa msM/n/gRB49ra4DtO/MzEqSWSI5/MgcmWfL3hO7yu/ryUdXm6Lkj+Hrfd9h7 bA9u3LqCJbu+U2de8z6f82B7vpfcLaHIVsqlfOrhQb3UTzs0ex4r+2gn7eV9 2k8/6A/9on+1xU/6S7/p/zPzdYrVK96BbRSOzx9TV3wsXoqKC+PDOKk9In83 po9V/MmD4rx4hi8ofIZb/7sHv0S8KpG5jbv8//3HeHD7AR78uhnXNwzHhb2p OLp3Kg7smYU9u+Zjx85F2LFrEXbvWoYDexfiyN4pqs3N74bhwcFNuHcnH7cf iQzu+4FcnfySB+FiTlzIXPWppFg/VvzO8gysMPXCslpe+CogEcHWaYgwerbv QY2RqjkFXi7b5bMZ8TUyEGqW9lTOzzonA1G1MxBgMh0fN3gTa/y80btZmuRH 8/FxVD8sfs0Li2q3wSLz1phv7YfDPmZSc7yCHKtyuFKnNG5YGOCyU3XsbtUC S5pI3VK3E7Kqhqgzr3mfz9mO7fke36ccyqNcyqeej0RfmOkCpZ920B7aRfto Z3iJumy88od+eTXeDE+XHcrf5419Iz7EiXgRN+JHHIvjqkNZ4y1r1scFLyhl Hqv4MY6MJ+PK+DLOjDfjzviTB+QDeUF+kCfkC9uQP+QR+URekV/kGfn2PF68 rAfrKoXf3/5zrukvwC2s9++MLINAbc9IrmlVpgsySkdisW8wZlcOxeyKwTjt ZoVbpSvhWuXquPWqIQ62t8ZMo2iMM03CeMtEzDYIl1w9SuqBQEw3iMM0+Uw3 iMUMg2gsLBeIIdYfo1Pleehccz4+tRuAea9KzVIhWs2Rny///le9L9DeajFm m4bLNfd3Yf+E/EyUDsCMJsG42KAOfnDxRIbUDLPDw9SZ1xcbWKjnbMf2fI/v Uw7lUS7lUw/1US/10w7aQ7toH+2kvZrdccoP+jNH/KJ/9JP+0m/6r3AQPIgL 8SFOxIu4ET/iSDyJK/ElzsVx/9sO/qwK/8jDl+0o0HWcnrh0AZ6Bn6Je3YGw d/lv1Cq6OSrMix1+Oy+25Zgke6lfHEfgm4w5uLiLe6To9k7cvgxnVf+Kvl6Z i+xlK3F66we4vNcJeVv9kbOpneT47XBlp5vk+O64rD4eurO71ABuOCPPvINr oslrpdHMwwSN/WrBxbsamrWri017A3DrUDsc39YDp9Ysxrlls3Fqw7c4u3s1 dm1ehMatp8CmwUfKnwZOH6Oiz4fqzGveb9w6XbVje76n3hc5x7d1V3Ipn3qo j3qpn3bQHtpF+y4/ZTf9oD/XtrdHzuZ24md75e/prf2V/woH/XrHgg9xIl7E 7eLu7/D1jDmC7QhdXfi8MV/F6kgHfR35Mf4bc1vIP/KQfCQvyc+Cv/13d7Ex XHmXcPnmFfl5lr+Jd+7iXv4DPP4TY04L1PeKBdhz7ADu3s+Tv+MPXpjXPhkT VoBDF48iLoXf5T9/zsUz9YqfB9qqtXh/YzxYYjziJZ8PjQyGc2s31PHzRMvO 7WHXsjGGTvgcKhO8d03szMWuI7txT+2RwlrgIfaf3IejqnaQvCD/nvKN/Rvx YlePRG0ePsdxRcVEYtG3S1QcH+vqios3zmL9rxswaWmGOvOa99Vzacf2fI/v q34akRefnIBdR7U57Jq+R0o/7aA9tIv20U7aS7sfS/5DP+hPy07tlX8uPm7K X/qdqPalef54MOJG/JpwDbHfqFf0/V2MC+PDOKl1wZ4zFqxEzSJxZ/zJAz0n /uhBvpF35B95SD6Sl8V5+rceuu+vHxzdiatb07Bj43qsnbEZ2/oMwIbY1pjT JxpfRb+LLzz6I7VhMqbW7YzJJl6YZOGL8RZ+GFOnPb4y98eX5gH4qk4njDGN xVg581lqHV+km7TGtLqBGGf/Or5oPwiTe3TH1/He2P76AKxdvAW/bk/FvSNb cKeQefP1kqYVamvwFOrGG/G4sXIylpu4Y5FZG8xz9Edg8ykIr/m8uR3jEGE6 BRHGc+Hg/jMC68xHmPHsEnPQI7i2sdyL5DpaFccjqdNIrLfpgLGxb+DN3p/g a/NmWGDaFgvr+UhN4YP5zX1x0bY8rlq8iiv1yuCKZRlcrldWXd+oWwoXXWtj h4cnZrcOk7OXuuZ9Pmc7tud7vKYcyqNcyqee9aKPeql/ndiR1HGU2DVO2Uc7 I0xL7g1Jf+iXg/tPiKg9T/kb/lRfk8KFa6EJTsSLuK0Q/IijwliN4yrQcH6G jtdVXBgfxonxYtwYP8aR8WRcGV/GmfFm3MfqeEA+KF4IP8gTPiNvyB/yiHwi r8gv8ox8I+/IP/KQfMwXXhbn6ctwFNy9gYKHN0reY78T14v6O36mC3XfuBVe x77W7ZFpoPUHLCjdReXpixqG4EJ9c8wx09bu3WDphQflyuFqxRp4UKEcvrFz w8Qq3ZFVJhzDbHpiWqUYzCwXjYzKUktU1fZvnFk+EpnlWcOwXyQIQxsORGfT uehkMg/D7N7C3FIh6tlc4zC8bTkM3RuNw3yjQMx9VZtHM08+M0t1wTetPXHT qLLoNcQB18YYtbS7OvOa9/mc7dhezRuR9+cbBYm88SL3CyVf6RF91Ev9tIP2 0C4+o53KXrGb9tMP+sMxZsMb9FJ+0l/6Tf8VDoIHcSE+xIl4ETfiRxyJJ3Hd L/gS50Id7n9LrB8/xtN/gshH8vJlOR7x+w7576uMb1HDpT+cvD9HI7uPtM9/ ZB9B1h0fwU5qDzv7VN2ciU91dcrzxx3ZOg6GTcNBaN5uAo4ulRz8+3U4uWuV 5N9LVB5+ZvXiovkrHAt1ehX3VExA7vYmuLrTE5e3dcClbR1xbaeX5PotJdd3 K/pc3sF6wB2nd7SAd0g1NG1QFc1dXkPTdi3RrJUpXvOqgwkrPXD3fChObM/A +SVcNzkL2RtZM63CpQMr8PaQb2FhPRj24peN4xCUd52pzrzmfT7PkXZsz/f4 PuWc2J6p5FI+9VAf9Sr9YgftoV3XVJ3i9pTdLZU/l7Z1Qs72AOUn/aXf9L9o TJjgQny0emWJwo34EUfiadNokML3+bH6SKtbdHNbGC/GrdEz/V//pg/5puOe k/dnio/kJfn56CXY81WfB549fwZTZ6Vjxbcr8OvRfThw/hdsz96PoxdO49ix Izhy+hgOXT6JnNvXcOfeXdy5c0dyy3w8LPadY87Nazh54aju6qHuk69bz/iB 2n+l8PFdbS+WAu4f+VD9LvsycxxiI8K19a9esD6Vqld6paCp1B/+QX7aXofP 61/pnqj6Frh/CeeGuLVthaad2sGuoy9aSk7/+YyRmnkF+ci+egrbD28F1/Gi jbuO78VxXV9IYSFzkkd4/FAbH5a5fhEiouPRu0dPtT9KTFAI3h8+SGqHfFy+ cxl7Tv+INRtXY+CYj1G5YSN15jXv8znbsT3f4/uUQ3mUy4N6qI96edAO2qOw E/toJ+3Vj1f7fPpI8ael8ov+ufm2Uv4qv8X/561hQLyIG/EjjsTzxfVKNxUP xoXxUeNPGC8Vx3u6ON5XcdVszC8WcygekA/6gzwhX8gb8oc8Ip/IK/KLPCPf yDvyjzycmpWueFmcp3/noa8DLn47DWOFSxN8QvFp5WSMqPQmJtV8D2nV+iC9 fDjSqkdjknkKJtfri3SLXkgzicMks3hMrhOPKRbxSK8bo+5PMUtBWp0IpJrH SP4qbeTZJPMopJqEIK1mECZVDcPY6jH4qkoovqgVgvGS46bVC8OoLv/C14ld 8c2M1Ti1e5bUh1yb7snf34J8baza1XWTscy0peT3vljWyAvv+H6IrtXTJad/ Th+L5PRxtTLQzmYlmjbbrvofompnSV4/Tqtnak9DZO1Zar5HF9sZ6NJ5Kd4M /RIhtukIazUWE9qGYVktTyys64MsU3/84OGCvIalcNmirFav6D/1y+GSVTlc NzLAVZ8KmJYQIueK6pr3+bx4e75POZRHuZRPPdQX1mocQuzSlR1dOi8Tu6Yr +2gn7dXqsHHKjwTxx7XpdvhZr0K8+PnsniwTFC7EhzgRL4Wb4Ecc1byS/OL9 KzcU7sSfcWA8GBfGh3FivL6UuDF+jCPjybgyvowz4824M/7kAflAXpAf5An5 Qt7wPnlEPpFXil/CM/KNvCP/JrQJw5g27rjw7bQSPP1bD9bNcnp4fBN2vO2F tVOW4eqaGci/lYeSfYGcD/cYTwbP/RdMU3sXFmLvh/MxzaAdFhkyd5dc2y4c 16tXx73q5bHRSepEg2hsc3bDbZNKyHuVc1OqY0mzDphaOhJZZSORWjMBo6x6 YFaZCGQaxmJGxVBkVAxDpuT7mYZStxhKzWIYg3mlg/GF3dsIsZiBIItMjHbo ibkGoZhSNQEdXBahv+VgLCvbAbMNQzC3TLCqPzJfCcSPr7ninlEl5JaurvZJ ufiJiTrzmvf5nO1UvSLv8X3K6W/5MfxFLuVTD/VRL/XTDtpDu2gf7aS9tJv2 0w/6M8oqRTiWgNniJ/2l3/SfOBAP4kJ8iBPxIm7EjzgST+JKfInzf22vSN3g WfKpsITKQsU78o88JB/JS8W2v3lsvp7x8pcfvnFj8Zr1INi1ltrBTz6un6BR I84d+fjfVLdodYqtbn6ErSM/w/BH5kfYOQ2GVX2pu1PG4JTkNedWLJI8/lu1 12OJ/hWOBVu+GMe/m4KLezmGink9831v5OzoIjl9e1xV9Yr7U/VKC5zb7Yl2 EY3QzLouWjqZorF3XakdqsPSoxJGZjbCzasd8Mv2dchZ9j3OLv8eF36QemPX clyU/H/N0pWwIV72rLmGokbDterMa97nc7Zje77H9ymH8ih3hMinHuqjXuqn He0ibMUuL2VfyXrFXflBf+gX/aOf9Jd+03/ioB8TVtS/wvWMBTfiRxyJJ3El vr8dO/38omFa3IrmF/2b6hbyizwj35oKjr6fCQ+HKj6Sl4+KzZx8WY4dR/dj 9Y7V+HbHepy8eIw/5bj/4BZuXs/B5byzOHXtJI5dOYXjp4/i8KF92HvqR2zL 3oefzh3GieNHsWnL99if/TNO5J3BpetncevmZdy7dwP5D29Lnsv+FOa1xT3W fqmcvHIcSb2Ttf6LpCd7zquPbu8V5tV9e/VEM49m6BTk/9y92ZlfJ8bEIDIy Al3jQ9C9VxKad/CGR1svWLbxROuorhj99Uzk5F1Qduw5thfXb1/Gg4d5+O7Q Vpy+rI3VK3icr3Jx7t+uzWt5IPF6gIFffIiQiCh079Mb7wwbiFmrZ2H0ymmI f7sv4pNiEB0ThYDOHfCKYSV15jXv8znbsT3f4/uUQ3mUS/nUU6CrAaifB+2h XbSPdtJe2k376Qf9sWzTCq18vZSf9Jd+03/i8HT9R7yIG/EjjsQzqRjGxXFX tZ/Eg3FhfIrHSzsKVTwZV8aXcWa8GXfGnzwgH8gL8oM8IV/IG/KHPCKfyCvy izwj38g78m/19tWKjy/Voeu3f/zgLtKjhyCjY0/s6+mD5e2DMdo5GV+ZJyDN SP6+WyRjSv0+SK0neWXtBKTXlLzUoh+mWL0rueebSDeSuqWq5KsWUs9Y9saU ut2RZhqFieaSA1lEY7LkrWmWUsNYSe0i+W9avQjJZSNERqzKd9NqhmBslQgM r94VE2r7Y0zr3lgVH4ntC2fh1gmux6P9Db60ejIW1W6OBZbtscrYDZ+0ewOB 1lMQYTTumVyduX2YyUzEGU1BY/e96NxgPqJrZSLUJFNy+7EIrz0XkSbcSz4V oX5LMDrpbfQJHIpAw8kIrzERMW2/xCy/ACyr7om5Ddthf+v6uG5WCjlP1x9W hsg1eQVX3Spgtk88xhskyjlOrssj1/QV9bx4e75POZRHuZRPPdRHvdRPO0Yn vaXson20k/bSbtpPPzrbzEcT9z3KvzDTmc/2raixYOMUPsSJeBE34kcctaNA 4UuciTdxJ/6MA+PBuKj4SJxUvCRujB/jyHgyrowv48x4M+6MP3lAPpAX5Ad5 Qr6QN+QPeUQ+kVfkF3lGvpF35F9GQE+kRw1RvHyy4MPffxTqcsE7ezYg1SkY n1XphNkeYdjWcwBOrFqAe7fznnmngOPG/sO1i6qP5Phhxg8qr55ZPlqrVWpV V3vB3y1TAbudm2JmxXBkvhaJSzVr494rhjjqYIPU2t2QWSEQGeVjVN/DKJsU TKnBHJ99KtGYUUWeVYjQ1SxR6sMxWezjGCN1Q4yl8NMqHdPs4jCjbhxCTGZh sl0i5r/S9ck8mlcDMU3q0o3VPHC/vPy8VKiB65WqIr+zoTrzmvf5nO3YXj9v hHIoj3IzRD71UB/1Ur/q2+F+LTrbVK0i9tJu2k8/ptSIU37RP/pJf+k3/ScO xIO4EB/iRLyIG/EjjsSTuBLf4nj/Rw41JrNA8ebpg/wiz8i3LI9wfFa5k+Ih +ahefQnmERcUaDw/evYs7Fw/RkM7yRltJWdsLPlrW6lZ2sjHebCWR+rzyr9S p0i+a8s1fR0mqVyX39E/O0flN8YHST5tZjkQAwZNRt6e73B6cRbObJA8cfcK nN7O+SsLn/StrFyJU7u6SS7fBFe2e+jye8nld7bDhd3ByN3hJdf6PhbJ+fls hz+u7AlBWJIVXKwN0dyhHJq1rI1mftXxWtNy+Gp0PeRci8TRnV8je53ok/rj wsafcWbPCpzd+QNO7dsI/5jPYG05BFauQ1Cpa4ich6pr3udztmP7i/Ie36ec o9zv8lqEkk891Ee91E87wpLqK7uubvdXdl4pqrVaKj8u7ApSfl1Rz+iPh/Kb /hOHoj4WwYc4ES/iRvyII/Ekrva/W688iaWtrm9M1Swqnl8U1TN/qU5x0NUp 5Bn5Rt65DFY8JB/JS/KzOF//7oPfXz969Aj7ju/FxatnsG7benwr3Mi7fUXX gr9ztPkTRf8uvIeHjyRXfXgXR878gh8P78b5W+dxOOc4Dp85jCOH92HfiR+x Q3LVnWcP4OejP+PIsUM4dPE4jueewIXrp3E97yIe5N/HhAXpiIoIQ+9e3dG7 Zw/0lby6bw/5t3x6yYd9Bv369EKL5k0RGNRR3UtKjNfVNFo+zvV+3xn6PhZ9 swRfH9qE3ef2Yvnub5A0pC86dotAuRYO2HBiN34RW4+cPyTng6qfYNPRH3Ho 0mnx/w4ecp9H9hvo+gl4SNWGi3nnMP37eVi6eQ3OXj+DB7ovcIanjULXzl1U f8YbvXvB278tDAzLqzOveZ/P2Y4H3+P7lDP9u3lKbj7uF4vEQ6WfdtAe2kX7 aCft1ez+RflRrrkjAsSvZPGPftJf+k3/iYNa/1jVKVoNSLyIG/EjjsSTuPbS 4Uy8iTvxZxwYD8aF8WGcGC/GjfFjHBlPxpXxZZwZb8ad8ScPyAfygvwgT8gX DdfHOh7p/w3FM/KNvCP/yEPy8WXoVyl+aPueFWL3nJkY8Wp3zPKJwv6OjXGm VV0saeuP8Z7d8JVlHCbUisBkkxDJUSVfrRcl52ik1YnBxDqSq5okYopJD0yx 7IW0un0w0TQJk2vIc/M+SGdNY/m2tElCqlGstJdclPlqvRRMNpP81SwKk9g/ YxmNqZaxSK0bKzms1EvV5XduTaldHEKwZMDnOLRjLU6tGY4Vxk5YbNJWzVWf 3bITutpOl7z8eWv9cr/7yYipOQtdrObAocV+RBuPR6jxXERJHRPOPgvTiZIH zUdgjZmIqD8RHTvPRBefqQiqmY7QypOQ7DsCi7zbYUGjtrjgUglX65TGZUuO 7dLGd+WoWqU0cltWwlSvKIys2RuTK8epM695n8/ZTo0Hk/f4PuVQHuVSPvVQ H/VSP+2gPbSL9qmxYGIv7ab99MOxxT50sZyj/It47noCExQuxIc4ES/iRvyI I/EkrsSXOBNv4k78GQfGg3FhfBgnxotxY/wYR8aTcWV8GWfGm3Fn/MkD8oG8 UPyoE6P4ovFG6lXhEflEXpFf5Bn5Rt6Rf+Qh+ai+y37J9uUr1P19K7x3D/N7 TcOXZTtgTM1QzCjnjSyrUGzq/Sn2zZyLuz9tkWrwbol3/1PjxvQ/wz+tmIvU MhJr+0jckFyb+yTmVeK5stTNJsioEYX5FYOQ08gU92qWx6LGQZhWOh6ZVYJV jj+rrNScVWMw3LonZpaNUH0VGRwHVjlI12+h679gzcKxUwahmGoXjwTTNCTV mIA3vUch1HkG5lQOxsLSnaXWCMScUlKzGAQizTgM37l4qb0Y75SuiBwHU6QP CFdnXvM+n7Md2/M9vk85lBfinKHkUw/1US/1047Mon4V7Ux7abfqExI/Rog/ U6rGKv9U7SX+0m/6TxyIB3EhPsSJeGm4VVI4Ek/iSnz/I5x80Tgv4Q95RD6R V+QXeTamRqji3fye0xQPlYiXJO/Sj7GZsWobTOq/CwenT3RjcnR1S3O59vsM jTyHanml7Z8ZI6bVKXaSz9rZT4Q9xxI5jPxLcyDs5WNu9xFGTZ+G3L3f4/Ty hWrv95M7pH7YxfXBlkhePgfnli/FiY2jkbO7meT47iXGT+VKnn9xd6A866Tr Y5HPTg/kbe+Ka1u7IO8nL/R7vTYcrF5Fc5dX4NLUFLZBDVDDsyH6pzfGyYuj 8Ou2r3F6x2qcXCX10qa9yN76C05/twOXD2zDwFHTUcP+AzTy9UDdyHrqzGve 53O2Y3u+x/cph/Iol/Kph/qol/ppB+3JO+Cl2Sd20l6txmqp/Li4O0j5VdxP +k3/iQPxULgQH8FJ4SW4ET/iSDyJq/1fqEG1uUcjtbhKfO3+bN3iqOMT/01+ tftM4xvv2WnPyUfykvwszteX5ci+loODkmPy98zRM79ixcbl2P4zv+PnmBNt vrXa/7Bo3vUDtS4Uv/u/n6+10XJQfU6aj8cFkpE/vI+7d24i7/p5ZOedxtGr J3Ho3BEcPnQAB48fwMqjG+Ac7Yum7q7w9PKAh38beAW2Q/sQfwSHdlF7qydJ 7t/E1Qnh4YHo17cX+qTo6pru3dXc81nr5+FuoW4tH9pXqK1N8suFQ9ifvR+N u3fF4DlTlG3LN63CWcmrtx3Zp3xWh2ovubV8bt29gi3HdmPu8lnoP24oevRM RvKbKbhyV5tP8fjhXTVMfMX27xEYEYRe3ZPQKyUZzp7NYGBirM685n0+Zzu2 53s8KIfyKJfyqYf6qPeh+rt9t8h+2kc7z+YcU3bT/sFz0tFE/DkgftG/Ivsf a7+PiQPxIC7EhzgRL+JG/Igj8SSuxJc4E2/iTvwZB8aDcWF8GCfGi3Fj/BhH xpNxfazGqOXjSS37WPGAfFB9QmqduAdFc/KL+CNtyCvyizwj38g78q8oJi/Z UaibG3D7xGZMco3E+OpvYJRdCrYFuOKWbUVcdDXDdwEtMLVNGEbbJWFs7XjJ KcIlhw2X3FQ+Fsxn+Z16HCbVCUVqHaln6oRL3quraSxY0zDvjUS6eZzkvRwP JHmvWQ+V4042lTzY8h314b8n15S8t06K+v59mlVfTKmdgK8qBmKcUSAGJ7+P D7u+jblN2mNV7ZZY+JoXevh/huCqExFhXmzdL90nQs1rmYPYmqlo0WQTWjda jXijsYisMU9y/wyEmcxFmBnXC5Z7tcaji1Ea+vcchHc7DkJn66noWiEd8S3H YkO8G/LqS91Rt5yuT6UscuoZ4rqpAS77VsIM73CMNkvGVNNkjKjVT515zft8 znZsz/dUH4tFOSWPcimfeqiPeqmfdtAe2kX7aCftpd1xRuPEjzXiz2bE1Zwk dcwcnZ/ji30mKDyIC/EhTsSLuBG/wUnvKzyJK/FVONfvo3An/s/EhLUI46Xq zF4qjown48r4qlpE4q3iLvFXPBA+kBfkB3mi+CK8IX/II/KJvCK/yDPyjbwj /8jD2yc2l+Dny3QU6v7G8bfC8n7jMbmcL1Ktpcar3RUzDNoi08ADGdVCsMY3 DjvHzsTVw3uQ/4i/xx8Vk1Fs3Nj/cVRC4aOHqgS69kMGFlt74bqRMW6Wq6TW vlL7v5erijyjalhr74f0inHYZdcEv9g5S6yTMOtVyeErhmNGpRBkGMYgq3QE RtdNxnjjRK0/Qu5lVAiT55LPl9XXBPIpI7VNlXi1znB6SA8kR42HX/wKvBs/ BgtMgzG1ktQHUnssMu6CpRU7YW49P5zxt8CdapWQbWeBeU6ReL3z5+rMa97n c7Zje77H9ymH8iiX8qmH+qiX+mmH1q8SpexTdoq9yhexf4JxN/Gnu/KL95Sf 4i/9pv/EgXgQF+JDnIgXcSN+xJF4Elfiq7qkHz38/aD8dsReMM7rkeIJ+ULe kD/kEflEXpFfqdZxim/kXdHSyi9RzsXvq8UzvDtkAczqfgB7l8El80k73Xgw jyFaPtlySIl8Ur/WsPbO4KJcVo0TUuO+WKPwM+L/NlebNjh/jJUrZ+HSXqkZ 1ixD9rI5OPnNapzeJbXAyoU4u3QBjqyfi+wffZC7vUWJMV/av1sgd6cPsveG 4+pOb8nzPXBpR6jc98flbS1w7+dWGNHfAg2sKqChfRfY1hkEe9cRMH5tAAYO mYhzN7rh7OHWOJMThCMHY3F0X3+cPDgCpw98guxfvsC83Umw71gdLm0qoV6Q M5zlzOv5cp/P2Y7t+R7fpxzKO3cjUcmnHuqjXuqnHbSHdtE+2kl7c1UfijfO iR+5O9vo+lZK+kr/iQPxIC7EhzgRL+JG/Igj8SSuCt+/NJZLX7eMUHFmvBs9 M05Mx4uiNZOL1cMtdLwiv+w/fmbOFPlIXr47dIHi6cvSv8JD/132kbNHceKi No+DuSW/J1+6YTkOneA8dOal2tpfHL/Ef5+7ckp996+tdVtsfkqBbj4G57IX zXF4hJJ57WPd9+6FWLZtJQJDghAZHowOIR3gHdQeHgFa/ty8VXM4BbijVgNz OLZ0kXvu8PBrDW/m2J19MGFpqtR+9/Hg/m1tfBL3LynU1ia5ev2C2HgGubcv Imriu7h6Kweb9myW3P973NOtE3xH2v984Wcs/mYJBo7/GIn9uiMuMQZRkZHo FhWl9nePDJe/Rysy+Y0RHuXfVjYfvPQzYhIj0TMpCd3iY9HAuzHK2dmoc7eE WHWfz9mO7fke36ccyqNcyqce6qNe6qcdtId28aCdyzd9p+y+IvZHTnxH+UO/ 6B8P+ku/6T9xIB7EhfgonAQv4kb8iCPxJK6qPhSciTdxJ/6MA+OhLZ56r2S8 imKom5tU+FDFWdtH5EEJbpAX5Edxbmgy8hWfyCvyS78nD3lH/hXn48t26H9m vx0+GOOrsq8kCaNsEjDdLxrXGldHflXJ1R2rY1/nhljY3hfjW0gOYJWI8UZR SGffiuTnqRwrVCdK94nEJAv5yDlV/7HgOULuST1jrq9pInU1TbTcj1Y58GSz WN13+X3Vd/lpRjGSH3dHRp1/4d1mw+BvvRxRLpMw0HcA1jh1wtBWg1X/SWTN cQitPQkRJpMQaSp5vNrjfaxcT0GUseT85qlw8P4FkeZTEV0zEyHV5iDcfLrk 9mPlM1Hb8577wNfNxOiOPTCuXSLCmk6ET805GBg1ELebl0Ou+StSa5TFNZNS uG1jgN3t7ZAmefd4o1hMrsPa7S2MMXtbnXnN+3zOdmzP91ir5NZ5RcmjXMqn HuobHdBD6acd2r4yEzX7xE7aS7sjzafA0eug1DGpyi/6p8a3mWl+03/iQDyI C/EhTsSLuBE/4kg8iSvx1fq8+ur6vGJVHBiPNDWWL1rFScXLPEyLH+coWTyJ 7SRdvLVrHQeED+QF+UGeKL4Ib8if/cIj8om8Ir/IM/KNvCP/yMPivHwZDzX2 Rj78rbH2vdGYLjnlVKnLxtvGYmrtcMw1bI8s7jMieWZW5VAsbByBbb0H4uS6 2bh/i78DS/r2l8eNcS3yx9pY1iOD/oUcw8q4rVuvWNUq8uEe8A/Kl8PWRm5I LxWLH9p4Y6aj5PYG2vx05vvTdX0SnAPC83DbnpL3c+66PC8bg+kV2JehzWXJ kFx/auVu2OrhiUvW5rhavQayW1pgV0ozjIl+D+3LL0ZAnYWIcZ+EAW5DMMRy IIaav4E9vq2xqqU/UmsnY0r5BAwK6K/OvOZ9Pmc7tud7fJ9yKG9M1HtKPvVQ H/VSP+2gPbSL9tFO2ku7ab/yo3x0kV/TVV9RlLZ+gPhPHH5o01rhQnyIE/HS Y0cciSdxJb5qzDDx/rN19AvHeRUqPpAX5Ad5Qr4o3gh/yCPyaQJ5Jfwiz8g3 VfkWFLwUY8D0R9HcFcGmRZfhsLaR3PNF44KYWzrJmXNbfDm3ZTBsG32s9uew df5M5acNHQaoXNPOXuoUx8m6+Sn/xzrFQbfGluh38RiKnzZKXbJnFc58v17l 3de+WYyLe7bh+ndLcPXrVTi3I0Fy+ya4XDQO7KnP9qa4/GNnXNodhJtbO+vG UjXHpW1uyN/viQlT6sPYJhAutUbA2eh9NG4wHBbWn+CjEZNw+0p7qS/ccO6E N64cbIerPzXFhTNNcf5kU+Scaoozx5ujdZIx7D2ro36wvTrzmvf5nO3Ynu/x fcqhPMqlfOqhPuqlftpBe2gX7aOdtPfWVtofiBzxg/48z0/6TxyIB3EhPsSJ eBE34kcciSdxJb62/6c5SlrdosU7TcWfPCAfNF58pHii+CK8IX8Uj7w/1Xhl +4J1FoSP5GWLzsMVT4vz9mU41LgwsWvX0QO4cesytLy0ELfuXcPGPRuwmuOh Lp+G1o/yUO3FsUvyzTv38558j65qlMd4sv/KkzVwCwvuaZ/HT3/ui8SH+HzS MHSLjUXfXinooxuf1KdnD7WnYkpKN9g3t0dQUKDk92HoHNYJHh18EPFhT/x6 +gh++fVH7Dy1FzvOHcDW4zuw/+BOHD51CL9eOoq1+zfi7t08bPxpA6avmY3N +3Zgxf51+Gr+BKTOmYg+g95GYnIcIqMjkRAViZiYCESr/SUTRHdyyT3e2dek 61e68SAXKR/+Cz27dUNIRBCaeDSHsWtjdeY17/M52+nx4ftvD35XyaNcJV/0 UB/1Uj/toD20i/bRTtpLu2n/BvGD/qwTv+gf/aS/9Jv+EwfiQVyID3EiXsSN +Nk3t1N4Etc+uvF3Cu+eKQr/z1OHqXhoayQ8FStdDJ+sC3avaP+Votjr8CEv yA9tz52HijfkD3lEPpFX2k/AI8U38o78e1lrFR6Fug1Xrl74CV/ZRiDN5HVM M4/FGKM4TGkfgr3tGuFuTUPcqFIJ123KIdunJr5r1wSZ8my87b8w2qIHUo3k PVOpNyzCManuk7rl2c/znkU8yYEttNx4kqppwtT1pHqSV5mG4Q2vL9GlXjqi qkyU8yL0aJ2BoX0HI6z2NERVlLqkziJEWyxHhNkCRFVNQ1jNqZLXz5H8fTES ak2Cj8N6NOO+imU49342oo1nSNti46fYT1F7PNo1mIfhbXpiTmAAUgJG4dPG fTG1cTTOOUge0+AVnGhdG4s7+eJL20RMNI4Rn8OQZt4NE026Y7xZT3XmNe/z OduxPd+73qCUkkN5lEv5c0UP9bWzmaf0RxRb74z20U7aS7tb2G9DG8f1yh/6 Rf/oJ/2l3/SfOBAP4kJ8iBPx0nBLx5uCI/EkrhreYTq8w4vFQBeT343dk2eM O+NPHpAP5AX5QZ6QL+QN+UMekU/kFflFnpFv5B35Rx6qrxVeolzseUehfj60 GLvh408xU3LJrGqdMdE8BuPqJiCzViAWVOqIOeU7YrZBF8lB20kbX8yyjsLm PpIrzcrC3QOb5e07JeSyTPtD48YKubabVqscHvAOMku1wzULU9zg3Atdvq0+ FaviRtnKON/IHFmmMUjqOhnpleORxXn15XS5fiX2oYSqMVS8P85MW/s3q1SE yvfZbkblQDmHY2qFOGxz98CjymXV3vG3JJe/Wb0aJjTtheEt+uNLx/fR2WAO IgymIsggUz4z0MFwNsaX6SU1QhRmlY4UWbH4oO0g0RmrXct9Pmc7tud7fJ9y KG94y/5KPvVQH/VSP+2gPbRLsy9K2ZtVKhLjTXU+lNHGttE/+qnm4kg73icO SV0mK1yID3EiXsXxI57ElfgSZ+Jd8EdqFv04r6fCyHgz7ow/eUA+kBfkB3lC vpA35A95NLFONGYLr8gv8qxA1z/zsv1N0X+/cOD0Wdi6aN952/7W2B39fGjX T9DQdwjs/dLg1GgimlhKHtpwOBydp8PRYQrsnNIlL/1CV6Po1yb+63uk20o+ q3LWyBH4dfcynOYaV9u+xcU1C5ExLB1v9c3Ch//KxIwFgbiw20li5YVcydm1 HF+bu3JlJ8dQtULurg7I3dpR2oUjb3cALu9opvojcrZL3bDHDWtWNUWjOv3h bPwBnGq/B2frYTCyGo4B897GpSutcDm7La6e9sb5YwG48Ks/zp1sjfMn2uDc UR/kXGyD1z+1hE2LKmgQ3Eidec37fK7aSXu+x/cph/IuXW6l5FMP9Sm9op92 0B7aRfu0PpRmYncHZX/uto7iT4DcayV1TMuiOSz0m/4TB+JBXIgPcSJexI34 EUfiSVy1WvX/Uq/o4ztIV7t8oXhAPpAX5Ad5Qr6QNw3bDvlD6zkoPpKXwk/y tDhvX6YjPz8f2w/vwkPOOVfzOdg3UojzV7KxessafLvrW9y5dx05N89r80AK tX3LStYpf/yjvo+Xd0/lnkTS6ylqD8XkEnPvu6Fnj26wa+UoOX20yrG5Nm9S UgL2ntirs/q+bv73Hdy6m4sbN3Jw83YOztw6i40/b8eS79bgu+2b4T+4LyI+ 6Im33uyDhu7OcG/dCr2TktS+KNzLvYd81Nz9bnGIiglDfEI0UrjmVlIiEqSG 2H/2ALR1Tzh27A6+mjESydFx8Anyh1unNqjt0hhuHX3gE9geyTFx6jnbFaix YIXYJ+9TDuVRLuVTD/Wl6PTTDtpDu2gf7XzrX33E7hSxv4/yY8n3a5Vf9I9+ 0l/6Tf+19Q20viPiQ5yIF3GLiYlSOBJP4vpkbYNuCnfizzgwHioufzKW+rpF 7WMnvCA/LgtPbgtfyBvyhzzS6pR8xS/yjHwj7/4XjgLduJSlg4ZifOVwyTv7 Ia2u1ArGkRjm2BvbA51w0/ZV5Fatimu1JGeoa4DrjtVxuLUtVrf3RmqbaIyx S8SX5olINeb86wjVx6B9N/9XPk/y4okWkoOYBqO3ezo6WkrubjIGkbXHILT6 OLSzzUSn6KkIt5yESKNJiDDX7XtvNB5RplMRXXcewmpJTl81C6HlpqON81ok cY7Ka2kIMVqI8JozRNbYohqB58haY0VPBpJdR2LwG2/hs359MSEiBvv6OWF5 kC9GOnbH2DoJmGwSrjBKMw/F2Hr9sDa8K77wfA9rI7qqa97nc7Zje763PLAt 9r3upORRLuVTD/VRbwk7xC7aRztpL+2m/fQjXPyhX/SPftJf+k3/iQPxIC7E hzgRL+JG/Pq4T1Z4Etfn4f2nPvSPfUsSb8ad8ScPyAfygvzIE56QL+QN+XNL eEQ+kVfkl8JI+EbekX/qd9FLXqvoD5UzqvE4j7D3k/eRadAG8yt0QkaNrphQ T2pYs1hkVewq9/ywoGp7zKkYjLmluiLDoLO0bY3MmiFY5xeNneNmIu/Ibvm9 wdrlyXgj9VWJvnYpnp8Wq1WODnoH0wzaY4FJKC62ssDN0pJzV3rSv5In/75Z WnLuerWQFDIFHUovRoZ5gpqLPlM3Tz3DUD9PRet7mPVqBAb7/AvTJI/PeoVj qaK1NoaBam/5y3WlLipTGdeqVBfZlXCkeQO813QI/Kouxldub2Gk27sIKjcL kaWlli41GV3sZiG9ptQOZcNVrTBd6pQPPAeps6od5D6fd7GdpdrzPb5POZRH uZRPPdRHvdRPO2gP7cpQfkQre2n34NZvKT/0fUhqXovOX/pN/4lDh1cWKVyI D3HKK4bddYVdZYUr8SXOxPu5NYsuRmp98BLjvB6quDK+jDPjzbgz/uQB+UBe kB/kSVbFQMWbCfUSFI/IJ/KK/FLftz5++WoVHvq5AONmfw8jy3fh8Ef2h9SN EbO1l3ql6WTYuY2HrfUouNSagCbGo+BQ9ws42YyAne1w2DsNRyOnT3Xfsf/1 PdL5HbvVa4PQJeVLnNi3DMe3LsalfeuxJGMurE0GoI7VKNRo1Q4OLq/Cv0N1 jBtrjXOSv9/Z564bR9UWeds7Sw4fjNydneTsjYu72+P8/hC1npZ+jbDrku// vNsXro794VBzAJxNP4Bt9f7oGD8V3sO7wiNZ6o+R1tiyrwWun/fDhRMBUoN4 yscbZ4954bbUJSNn2cOyVRXYdbFRZ17zPp+zHdvzPb5POZTnnlQFrUU+9VAf 9VI/7aA914utDXZVPuf3h+KS2E8/cndqftE/+kl/6Tf9Jw7Eg7gQH+JkbTpA 4Ub8iCPxJK7E94V9a7/7+UiLL7kh8WbcGX/ygHwgL1yMJsDW5kvYuY9XvLG1 G/KH18smL8lP8rQ4b1+WQ/+znZ17Cb+e+glqtT3dd+v6ufaHTx7Emi2rsfTb lbil1lOFbs3iF+8n+Ls1i25M0KrtqxDJfUqSn1rfODkB1t5Oat0t5vOJ8bHo 804/3LyXq9VUamwX+4P4t+mWWnvqxKVTOHDmEHYf/QlbTu5D+rpZcO3kB9NW TdFH5Pfs0R22rZuji+RMfZ5aI7mHbk/76NhwxMRFKJ2RUZFYuHahsvMhx4QV 3sfSDasQ0y0Gnj4e6BLcFdWdHdWZ17zP52yn2svB9ymH8iiX8qmn+B6Paq8U sYd20T7a2Ufam3o0hWtnP+UH/aFf9I9+0l/6rfV9PVJ4EBfiQ5yIF3VGCX7W 3s4Kz+L4Em/iTvxVOH9nr5Xf3IdF8UCbf0N+kCfkC3mjn2f/hFOPFM/It+L8 e5kPrTaX+v3MrxhlFYw0sx5IN++pzY82isAYmzgsCPHDZZdKyKtdEVdMa+GS cXXkvWaIh/aSi0oOesC3Pta0aYWJXjEYY9sNo+olY1ItyWnZ72LK3L7kOKI/ +pkouXSmWTB6uWYioG4GoozHqvV7o0zHoXOtafgw4C2MC0qEr+UsqUsmwL/l bITVm44I9p+YZEmunoUYo7noWncmklpOxKhW7+OL5r3R0+MLhDgtQmCdWQip OVHtrRjB+R+qT0NqFuPp6NXiC4y3icW0LhHIDa+I7QF2GMf56Ca6WsxCfKod jSnN4nDawwijhvZRZ17zvnou7die723vYIfcsIpKHuVSPvVQnxqTxnk3Ygft UXaJfbST9tLupJaTlB8xxnOVX/QvXPykv8pv8Z84EA/iQnyIk8JLdBA/4kg8 J/6VGsUiUsWR8WRcGV/GmfFm3Bl/8oB8IC/ID/KEfCFvyB/yiHwir8gv8ox8 I+/IP5Xz/Ym9sv72Q32Prn1X8evHb2O6QTvMk9x4XsUOmFpNfnbqJWK6RTCy ygciq0wXzKvUAQuqMA+NwLxXQ5BlwPVyfZFVJQyLXUOwPWUQzqyZg/u3nzNu jLlq0dzsBzgyUKtV5pcJw0yjMOzxdFLrW12rUk2tvXW9snwMq+FGjSr4uq0P Xrf+El2qZWFoi/cxp1QoMtR8dcmfOfejItfa0uas8NmIlm+gTdJyzC4fgZnM 7bmnSelQpLpH4VItE9w0rKzGTnFtr20N3NHdeQLCDGYg2DATgz0/wGdSu4eV lWuDqejuNQyZ8vOQWVpqJH290qy/OvN6ptznc7Zje77H9ymH8iiX8qmH+qiX +mkH7aFdtI92Zom9tHtEyzelFgjV5q2IX/SPfqp1BCpoPhIH4kFciA9xIl4K N8GPOBLPPZ7OCl/iTLyJu6pZdGsoFDyT8xSq+DGOjCfjyviqOEu8GXfGnzwg H8iL2cIP8mRMvSTFm/kV/RWPyCfyivzSxqK9nH9PVOku/0W/PhH1LAfCzvmP 56v8Lt620RdwMP8cjRrOQKPGWXC0HgeXGgPhVPMdOJkOhKOZ5Jr1R8C+kdQv TiMklx2qGzf252oXrrVb12oQur0+GmcPLMPRLUuQc2Al0mfMR32rsbBqHwRX /wpo1qoenG3Ko5F1WQQEVcWKea64e4C5fBCubPPDVTVXvbk2j2VHS8n7w5Gz 21/tG6/2jNzaDIcPB8q7n8Gu8gdwNHofrlKXfbtxNbxet4Sta3nYtKwMx8Aa mLnCCbcvhSD7GPtNvJB93Bt5Z9tgweYmsGtXDY3a1VPnBZtd1X0+V+2kPd/j +5RDeZTr1c9S6aE+6qV+2kF7aBftU3aKvbQ7d4e+P6W55pf4Rz/pL/2m/8SB eBAX4kOc6luOxRTBjfgRR+JJXInv769p/Lwa5SMVV8aXcWa8GXfG36nGO4oP 5EWjxrNgKzwhX8ibP9OXQ16Sn+Qp+foy/jjpc8ZDZ4/hjJp/UPBkPFDRXINj WLvlO6z44RvJNznnWzc/5S/WLIWqZrmndnAeMW004sLDJU/Xahb2RXDuuFVr J8nxo1U/REJUFAamfgF9fv4g/xYuXj+HX0//gu3H9mDnob04lZuNO3e0eqpP 2ofoHNwZb/XsCXNfN/gEd8IbPVMQFxcFuxaOiIuNUHs5Pr1OMusI7sPIvU1i w8Pw+dQRolF+F6o1iO9gX/Z+xCXFwNG3JaJio1DZ3ladHX1bqPv7zu1X7VR7 eY/vUw7lUe7Te9FTP+2gPcousY92+gR3hFlbN2U//eiTNkj5Rf/oJ/2l3/Sf OBAPff1GnIhXiqqRohWOxLNHkqabOBNv4k78GYfCv1irQFeDqHxEeEF+kCcn LmrrIhfq5tvr59yTX+RZcd79Lxz68TcLP/gc4yp3lVyyLyaaJ0u+HYF0yU9H 1umOGT6RuOxbEbdrVsCJJnUxs1cMvnP1wk6PBrjSvCyuOpbFZbfyOBJgjq9b uWG6fzAmNIjFqAaS0xolIM0kApMkz003CxP5EU/6X36jjmFenWEejN72M9HR nHvSj9XGS0l+H1ZjLKJ9x2O1bSuMdH8fCW1SkdJD2tVdimjuC187FRF1UhFZ MwvBDadhkO+bGN58AEZb98QMi64Y3zgZA5uNQKLbRARZT0ag8WS1xyJrhjDr VIz0SMFU7hVTMwaprcLxU6AVNkfZ4yvLBJWzs29htOSjG7qEIs/uVayb4K3O 38s17/M527E93+P7qZ7hSh7lUj71UJ/a21H00w7aQ7toH+2kvbSb9tMP+kO/ 6B/n4tNf+k3/iQPxIC7EJ1w35o24ET/iSDx/s17Rx0PNMYpQ8WLcGD/GkfFk XBlfxpnxZtyvOpVVPNjp0VDxgvwgT8gX8ob8IY/IJ/KK/CLPyDfyrjgP/6eO 4mOz+r+DdMlL5xh2kZwzQM4dMLlBFOb4d8VyWz9Mryj5eZlAzC3nj7nlO2Fu hWDMNwzH3NJBmGPQVXLaLphp4IdZNlHY0vNjHFy2DPducz/V4uPG7uL4wLdU 7jzPMEztazilShy+buSHB4Zl1b7tWq1SVbCviB983TGjQhS+suuHDlUX4F2j z7GgQpDat6RovrphhOT0QcjgeKkyUciqEA7HmM0I95yKudzLhOtrGcQiwycQ OfWq4mYZbS7/deOqWOXfEV1rzEbkK1MQWWoqgspk4g2Pz/FB64/Qsaz83DkO xLxaUjO8Kr6XixQMYvCB8/vqzGve5/OB0o7t+R7fpxzKo1zKpx7qo17qpx20 h3bRPtoZ4TVF2Z3FtcDED/qj/DKMKFovgH7Tf+JAPIgL8SFOxIu4ET/iSDy/ buin8CXOxJu4E3+UWAPujooT48W4MX6MI+PJuDK+Ks4SbxV3iT95QD6QF+RH GnkifNF400XxiHz6w2PQ/qZD/2fu9v37aOI7DDYNP/zT8xcaSs7p7DAaTeR3 oL3p57B3ngc797VwtpoEl2qD4WzMcVVSu9Rm7TIYjvVHwqHRKNhzPraTNr/a 1l70cgyR44vrF3vJVy0kn+79xmicP7Acx7ctxdkdC7FvywY0jOgJB+9yaNKm Cpx9jdDUzQTujnJtYwYne0v0H2yLC7tb4uYe/fgw96K591d3tRV50biq9ot3 w+UtzXHtRHt82HcEXqvyAWyqvId3or7Cj3umoEmnWnBuXQVNpQZx8qyChj5V kTmnBW6dC8DZY544J/VIzqnWOPiTO1p0qoGG3rXVmde8z+dsx/Z8j+9TDuVR bmORTz3UR73U/+HrI5Q9tOuyWt/MA+fE3itit1Z3ab7QL/pHP+kv/ab/xIF4 EBfiQ5yI137BjfgRR+JJXImv/W/Vq5x/wn0jJV5q/JbTEBVHxpNxZXwZZ8ab cXepPljxgHwgL+xNP1M8IV8a/slxZ2r+kvCTPCVfi/P3ZTqYO3Kfv91H9uLO vVxtXrVad+shbt2+gm2Htf2Ur926grVbN2DZxm9xNof7+/F3RP5fqlu07+Uf 4dqdS+j74dtqLoXa+zCxGxK6xcLSx0nO8Wqt4G4xMRgw8ROcun4aB48dwM7j zNUP4tKNHDx4+AAPCvT5eiFmfbMAHu294NXeG2/26YWukcEw8nRFcmK82pMk KCIQjVo1QXc17uvZvRNVX4u0DY8IRvd3+2proRU+wL38PDXHPTYlAS1atUBS cgLKN2yozrzm/Xv3r+HewzzVnu/xfcqhvKdrFa0266bsoD20S9sbM07ZGxgV quynH/SHfunnf9Bf+k3/iQPxIC7EhzgRL+JG/KwUjrEKV+Kr5gwJ3sSd+P+l fjJVf+Sr+JMH5AN5QX7w2C58IW+K84i8Ir/Is/+lWoWHfr5v9pnD+NIyBGnm sZhs1ldy7ljVT5BeJwxjJc+e7heB/X5Ncd/MALubOmJkk3eQ6pSCBXZdMLuZ P7Z72mKrrR3Od66C7KbVcCrUCBv9mmCdXyuMbtFNcrdIjLDpjq+MuqkxRKnc p8VEahjTMG1sEff60NcyFlGYaCH5hkUoXq8/HZ3MpiPK7CtEmkv+XWuC5O2Z 6Gq64P9j7z3AsyqzLtBQQw2hpvfeeyekJ6SR3nuhY8UCIgiCIkongSQkJIQQ OtjLjF0pimAFEVAR6UW60tfd6/2SELCMztz7jMx/D8/3nJxz3rLXWptk7++8 BXWJozE76EGMzluAMcEzEWvWiJxBc1rmgcyXfKAeeeb1qAjKR4VFMZ7MmoxF eoWo0k9HnVEeKm3GYYbfWIwOmI4MjyVIGlSNDK/FWGyVo9b0pS2Vejl42nEc tqc448XCIMwxLUHNwHTM9xqO7wNMccqyK3bN91RnXvN+tTxnuZekPOuxPttR 7bFdaZ/9qP6kX/ZPO2gP7eIa0rRzmthLu2l/nkW9wqNZK2CRwkm8YwU38ZMH 8kFeyI/iiXwJb+RvnNUyxSd5Jb+0pZVz8k8dqIfSRfShTtSLulE/6kg9qSv1 pc7Um7pT/9XiB5WuI5VffOztrPyE/kK/of9Uq3lJWcqv6F/0M/ob/a51XvJd eagxxPzhF+xZ0owqnTKs6hCHVX2j0dQ5AU190/HuUE98FmKHV+1jUDtA4mbt VKzsInmLdhyau3Ev+FSs1UrGan4Hr8aMxUrMGyF6leHVqDx8tKABF755H7vn TMMirQRpPwOrOiVjbedELOuajQ96B+Dn3t00+Uo3XRV7b4nwQa3E2o0ds1Cn X4hkveUY4z4b9fqSq3Rut76WmuORivruWWqv+LUSz99j8ywMPHfgYa/JaNLN FFuysdB9FH401MXZ7j1wpoeuGjM1JXQS0nsuQ7ZWDbI6cwxYDZI7N6LMuwIl YbPxUO/JWN01XbOvI9+vSJ4ywbE1X9HkD3z+UO/HVXnWY322w/bYLttnP5qx bpr+aQftoV2072HPyTD03oF7bJ9V9hOHwkNc3dqtb8Z10QQ/eSAf5IX8kCfy pclZdBWP5PN94ZX8kmfyTd7JP3WgHtSF+lCn5WqNuFilH3WkntSV+lJn6k3d qT/9gP5Av6B/0E/oL/Qb+g/9iP6kGa779/1/cb3l/+zL2z6Bhf2jcPzd/c3/ IF9hruH2JLysFsJt4ER49H8UTlZL4RbyEjwCmuFuWAG3fs/ATeJYV/1H4Cqx rJXJJJhZzoCDzXNwcJ8Oa4+ZsHWWn+1nwNFRbHB6QmJijhO6lcO0vl8pv2cu Dn62Cd9uXo89m1/Ctz8uxrw1PrAM7AHvSM26XN6RhvDy9kCQsz78XXrCzrIL 0jN1sfNND/y8Q2L7DwPUu4oTLe8rDu9MxZEdierno1v8cPHTCNQvqIGj3gSY 9RmPikn1WPPyQ7CL6gaPMPbRBx6R8gnvC9fAgdj4ejDOHIrAgW+G4Oj+EOz/ NgQhYw0EWy91/va7EHWfz88cjlDlWY/12Y5qT9pl++yH/bFf9k87Lok9tOuk fI6KnbSXtp5Q+91r8BAX8REn8RI38ZMH8qHhpa/iiXyRN8Wf8Eg+yett71dc NPwrHUQP6kJ9qJO1xzNKN+pHHakndaW+1Nmt30y4G1XAI7BZ+YGT5VLlF/QP +gn9hX7zV32N/kk/pb+299+/09EaP56+eAab93yEGzf5nYVmfsLWPdvx0/mj Lb8TNOt97Tv0Ldb/80X846N3cOKCZq6+Zl72X4t9W8eF7fzhSxQOL8KI4mI1 74LzOswjPJCckYSwYVFw8XNH5Pg8fHXsG5w5dxTXr7f77ubmLxILn+aKXKh9 rQm5+dkoKcqHS4gPSpjvSA5gJ/G+V0IExg4vUzlB5LCh4rt+8nP5bePCbuUR mrypoDgLu37coeLtS5cYi99A7lNjEBg1RPKPUnSzt1VnXvM+n6tyUp71WF/l CaW/twd9ubKD9oxW+9CUKTtp7z1yTftdiUPwEBfxESfxEnfrQT7IC/khT+SL vJE/8kg+1VoGwi95Jt88/vo4sJb592IDdaf+9IO94g9t64mJn9Bf6Df0H/oR /Yl+Rf9q729309E6b2DNo09jXu8k1JiXoIIxZctcB+4bWNFvLGb5PoDNMR64 bqmFL3ytsNQhT8oWocEiDyv1YrHCaijW2IZjpX0s3gz3xA4HG3yWZYYfgvpj V4GJxLyBeD/MAwvj8rHIvABLnLIw02EknjMuxbwBBVjUX3KkAdmoGsTYWeIc wxRMMFyAVN16ZOg0IrnvOiRZbkKqdTNGJixAabHE7BbLkWa8CGFxq5A0sBpZ Brf2JMnSq0SqySYskJh/cf9MLE4ZjZq4IiwamKvWsqrUL8PSQSNQa5Eu8U8h 7vObhMezHkaFWx5qTdJQpcc59YLdIBvzBee7pe5ozE3GMwNLsS42A2dtdXHM uiuOPOmqzrxeF5uunrPce1Ke9Vif7bA9tsv22Q/7Y7/sn3bQHtq1aGCOsrNS 7KXdtJ84iOfWOgELFd5QwU385IF8kBfyQ57IV6bwRv7II/kkr4pf4Zl8k3fy Tx2oB3WhPtSJelE36kcdqSd1pb7UmXo36cWh3pL76BQpf6Bf0D/oJ/QX+g39 h35Ef6Jf0b/oZ/S39v539x6cv6D5ac/mfYrj5g7xaO6ThJXdhqK2Sw5esh6K U366+N5GH687RaLJLEfNBV/ROQ4rekiO4pePhqBiNBnkoU4nH80GmdgodTdq RaFSKx4vu8fgKwdrvG0dimbnNDTqcj1irneVhc8cvXBxUC+c7NoPFwb0xLZw b9T2KdDE5xKrN/XLxP02MxEt/lDbtwiN2lnq/UZD52wVr9drc0/FVDVeakWH TMy1G4cAh1cRYPEyZng8hJU66ajuUYITgwbhdB/x8w69cSjMBA9JzJHYUf4u dZb/d52WanKWjtVI7dCILO86TE6ehOYu8v+4q2atrjppf4LNQ+rMa97nc5Zj edZjfbbD9tgu23/IfYbqj/2yf9pBe1bqZCj7Aixega/965gndtN+4lB4BBfx ESfxEjfxkwfyQV7ID3kiX+SN/JFH8kleyS95Jt/knfxTB+pBXagPdaJe1I36 UUfqSV2pL3Wm3tSd+tMP6A/0C/oH/YT+Qr+h//DQ+NPf+2/JtZZ1z+bXvY2B pn9y7sqvPoxvJa9wfBZezrVw0Z8AtwEPw6Pf09LeCrjENsHVuxZu+pXw6Cu5 i2MyPD07w92xL7wcdOHu219i6EA4eOXCJjwTJvI71c5tEqzcpsHO4Vk4Okhc LPGyE2NVy4lIH/Mcvt+5AXsl1v5i/0Ic+zQUp76KQsmzjrD07S4xeT84hTvC NcIJHp594evUFQHuXeFk21vil0F4/nlf/PylD46r8VUt+5hsG4wfP8/BiW1D VE5wYnsItry2GP52U2Cs+xBqFtdi3vwhsPQZCK8oHYn9xe4wHXjF9IenR18E Jxjiiz2hOCZ5yo/fhODQjyEommoGG5vO6nzokOY+n7Mcy7Me67Mdtsd22T77 YX/sl/1vFjtObNfYdVLso50ntwUru2k/cRAPcREfcRIvcRM/eSAf5IX8kCfy Rd7IH3kkn+SV/JJn8k3eyb/SQfSgLtSHOlEv6qb0Ex2pJ3VV+orOrj7iB0Ob 4Oy6Ap79nlL+QL+gf9BPNPPx/3purOawiJ/OX/b2bf77dzva5rIcP4yvD3yu ft57eA++Psg9Wq5LGMq1bK+o/Qx5ffXGJWzfswPr334e23Z9hAtXLkhcelXw XdDkLTf/9fuVm9c1MTCPf3z0KjKyM5CalQL/yMHQcTCC1xBfRCTHIDMjBfc+ /lBLrHy9Zc7/Vc3YK2njGi5g6asrkJuXrfZqZ2zuGxmE+LQEtR5WfmEudIM9 kVuQq3KHsZInBEYEIGRoCMZK2dLfyFlGlJQgv6wAb+x5X+L6czh3VjPn4rGZ jyAmLhrlkgN0t7dTZ17zPg+WY3nWY322c2fb7I/9sn/aQXtoF+2jnflFucpu 2k8cKocTXMRHnMSr1lkT/DeULjdaNPpZ8US+yBv5I4/kk7ySX/Ksjhs/t60J 9sdz6jUaUVfqS52pN3Wn/ldvaPyBfqH844Zmzgr9hv7Dg/5Ev2rvZ3fbcaNl rbBDP3yF2RI7VxlJzmBUjhrD4VhswrWIR6DauBxLJN6eZTMCmzPc8Yu9Fr70 t8QK63g0mqWh1qkUKywysN4wQj5DsFovEg0mCVhlE4m15hHYFBSML9zN8XGC LfbHD8IB+d26d7Q+Xo4Iwj8s/fBhsjeasyMwL60QT0fdi6f8JuI5n0cxIrQe sTEbcW/ec3jS5yGMD3kMtUOT8aJ5EGYMHa3GUWX0WISxadORG16BzD6auSiZ BhLT91+AlMGrscBulNiehkqbQrwwLhcLbUqwRF8zNqmG8ygMhqN6UBpqrDKQ E7oIGU4VGD/kCTznLfctM1FrkKb2EZlnVoAVWamoKB2O3cHWOK+njWP23XBi vKM683p3sBUqyoajMSdVlWc91mc7bI/tsn32w/7YL/unHbSHdtG+F+7JVfbS btpPHMRDXAqf4CRe4iZ+8kA+yAv5IU/k69682cLfJsUj+SSv5Jc8k2/yTv6p A/WgLtSHOlEv6kb9qCP1pK7UlzpzL7uljpKbmaYpP/hK/IF+Qf+gn9Bf6Df0 H/oR/Yl+Rf+in9HfNMse/T3/bvy1Q3KWK5o583s/3Ycayc9WaQ1Dc69UrOoR jeWdUtBonolddva4rqeFo1YD8IFbIJ63iMVIx3mI7t+Eon5zkNtjMYYarkf5 kAWYajIJo11mo6FgFI4aGeNSv57AwI4410sHPziaYouVP9Y7JOL5qDhctOqF 670645MQD9T2KsCyTrlo6KnZ47G5YxomOz6ONIMGLPAegxVamVjaswg1AyVv tL4Htf2LsKRvFuo6aNYJq+tfiDSLBri4voPknsvxlMsErDFOxTeD7fBT1+74 pZcW/mEfiUS3VcjVkvyiiya/aMtZtJYitVcNStLFJ4OfQLN2hsoLmKc8Zna/ OvOa9/mc5Vie9VpzFfWRdnO1qlQ/7I/9sn/aQXtoV3LPRji7vKvspd3KfsFB PMRFfMRJvMRN/OSBfJAXtfckeRK+anvlK/7II/kkr+SXPJNv8k7+qQP1oC7U hzpRL+pG/ahj9IAmpSv1pc7Um7pTf/oB/YF+ofxD/IT+Qr/hofGju+BvyU3O 4ryOhPIFsLD4a3NXbs9XHoO9q8SpnlVwcXhGYtMpcNN7CK79n4SnfgWcg2vh GLcQrm6VcDBZDhfHWDVOyc+ph8TVneDvqAVfFy14+nSHe4AZnGOsYB4dCofg eJgEF8HaZSpsPSdLPD0LQelzseujl7F7TyWOfBkt8Tr3eB+MI/sTUDjdFFby O8wjzByeUT3gFmoCN08d2Lr6w8VUYvEB98PKagKW1NyPn3YNxYmWNY/Ve4tP EnD40wyc3Mw9GN1x8JMJKBg2H0bdx+PZuvkYNdYIjq4D4BndT3KMPirP8JAc ICBoABzNu2HMM644eTgEB/aE4KejYXhqjjNMLLTVmde8z+djZrqq8qzH+ipf kfbYLttnP+yP/bJ/2kF7aNfhT9Nx7BPNeyC1VrPYTxzEQ1zER5zES9zugp88 kA/yQn7IE/kib+Rv957Fik/ySn7JM/km7+SfOlAP6kJ9qJPSS3SjftSRelJX 6usYtwDOQ2rhqVeh9Kcf0B/oF/QP+onyl38jX6F/0k/pr1fVHiT/7f9Av3+0 xpKffPelijW3792B6y3zTW7evKbZX6VljWLN9/scz3Ua7336AV5690V8c3A3 rsjzy9d+xi9XLmryi5utc1Z+vhUbt+ztwv/Jv/xyFgdOHcCeI3uQM+t+uAZ4 IVJibbNgJwwfXoJxI0eo+eElZYXYdehzZeON61fUulg3rrGtm6h4fikys9M1 8/bLijGqvAxJmcnwDg/EyBFlaj93v8RoWEcPxjjJDUrVGmRlcAzxRWxa4q/m 36t5HpKHZOZm4aX3/6lsPXX2kMQMv2DK+gqk52aipLgYPRwc1JnXvM/nLMfy rMf6bOfO9yrsj/2yf9pBe2iXddRgZSft5X2fiECFg3iIi/iIk3jV3/5rmnXS FB/CC/khTyxH3sgfeSSf5JX8kmfyTd5v7Tt/5VYO2bZmsUYz6kg9qSv1pc7U m7pr3qe05jw/t+zPck35C/2G/kM/oj+196+79WhdK2zTlBmY2ztF7XVewT3M jSXWVHtD5mrGa+lnYb5NPjZkDsF5547YFWqGZssorDOIRL1NDqol1l5pkYQN JiHYYDwE6wzDsdYoDGv1w9FowHcwsdhkHoqV3tHY6m+PjxwtcShBF6d9Je4P HYCTbv1w1MYCB8yNcdTZCFvD4tHgnIz1HoPxkl0QXh7kj42DJF6WzwrfeKS4 12BYD4mLCu7Fw2mPI75fHbL1F6g1gVP7VuK+oTNRYz9CYuQszBtUgBeGDsO7 +SF4zqIE1Ybpas/DRcZjBVcxng0sR5p5FTL7LkKyYTWS7aoxPGAWpgwej0WO eVhmnIK5ukVYfn829twTjtN6HXHcRuwut1VnXvM+n7Mcy7Me67Mdtsd22T77 YX/sV/UvdtAe2kX7aCftpd20nziIh7iIjziJl7iJnzyQD/JCfsgT+VonvJE/ 8kg+Fa/CL3km3+Sd/FMH6kFdqA91ol7UjfpRR+pJXalvtXWJ6J0tukco/b8S P6A/0C/oH/QTzVoLucp/6Ef0J/oV/Yt+djetCfZnD7UfpBzf7d6FBuFpJccF 9UxDc4849V17nW4+3vcJwJkBEvf31MJJPR18Ee2H+6LnIUq7GSkdq5ClJTm3 1hJEdVyHZM91WME9cfRL8UJoPN4SHT4J8MBPBgNwTq83Lht0xw+DTfBhaBBW ZMv/WYcRaOiTizUSB6/omIHlXbNR3ykbtSbFiDHdgAcMnsZK3VS8KLHEUfGF w7r6OG5phPf8fVFnJ3lMB8lj+6bjYYvp8Bv4MvytXkZm5zpM8Hgam20DcKlL T5wd1A2bChKQ3KUJ2Ry71WnpbZ8MrTrk6i3ECq88POk4BU9FTkZzp3TUdc/D ZONx6sxr3udzlmN51ruzLbbPftgf+2X/tIP2ZHReJva9BL8BL+MRsbdZN13Z TxzEQ1zER5zES9zETx7IB3khP+SJfDX0yRP+RqJJeCSf5JX8kmfyTd7JP3Wg HtSF+lAn6kXdqB91pJ7UlfpSZ+pN3ak//YD+QL+gf9BP6C/t/efvfrT+uTt7 8RI8gp6Crf1fn7vSmq/YOT0GF48lcGAs6jIJTo6z4WQ4TcWq7npy3W8hPGyq 4RIj9yNmwsajDi6+GfDxsYS/ixm8nfvCx7ErfB26wsehM3yce8DPWwfeEse7 xOjBNWoQLGPtYO0fA/vEAry9vQnHd8fi+DZnnN7mhRMf+uDUzjAcO5yFhxcP gX1oLzgF6sJnaDdYRcbD3mAm3Ac8CnfO/+4/AXYDpmDu9MU4+WUpjn3khhNb AtT8lR8/zcbxj5kDueLE56Mxe/ISDOo5BY/MLkPs0M5wc9WDR9TAlhxDk6/4 BvSHr31XyckM8MKHvjj5fSjOHg7FosZAGDn0QsWKQHXN+3zOcizPerfyFR3V LttnP+yP/bJ/2kF7aBfto520l3bTfuIgHuIiPuIkXuImfvJAPsgL+SFP5Iu8 kT/ySD7JK/klz+SbvJN/6kA9qIvSR3SiXtSN+rn4ZSg9nSJnwiV6ttLZqe9C pTv1dzKcqvxBjS0T/6Cf0F/+nXyF/kk/pb/Sb9v78d/xaI0pN7z5An46x+/E r7fNQQBzlvZjvlr2lr8uce+R0z/in1vfwBtbXsPR04e40yIuSax76fK5tjFE mvkul3Hh4insP74fn+37FB/v247dB76SOP8ILl49h9lLZiE7IxM2kZ5q3gfX 4R2h1uvKworXVivbrnMdX5Wr3MCy1+XvV2aK5A0t81/a5qEUw3WIN/LyczBC 4vcRcj1wiBcSs1MwurxMzSdhHQd/F2TnZqicoH3OwnwhOyMd69evgMqrrpzB 5UunseTNZSgfVYzCgkL0dHRQZ15XyX0+//nKGVWe9Vif7bTPVdgP+2O/ymax g/Ykcp6N2Ec7aS/tdgvxUTjaMJVrbCZe4lZrIwgP5IMH+SFP5EuzfnGh4pF8 klfyS57JN3kn//uP7Vd6UJfW9QyoF3WjftSRelJX6kudqfdN7h9527uZnzX+ 0TpnRUqdEf+hH7X3q7v5aN2P5fSRzzHfWbOfxhJTiTv7jkK1cSEq1T7m2Zo9 7CUWnWNZjKVx2TjnpY3Po8zRbBWFjfrBWGMmMZl1EWrls8Y0TsW4a00kXzEN x3rmMIZybRiC9fJ3v3lQLJZb5WCtVTJW2hbhH2Fh2ObsjU8jzXHCTeJ/tw74 LGIIVvaOxYaBIVijF4F1jJ3NpD3DMKx3DMPouOlI7FaLcUmPYa7ks+m2S5DJ uRsGC9R4qUfsH8Mys+Go5F4fBpmY61iMXbH2aBySi2f1JGdRczry0aBfjvE+ T2KYabXkAwuRpbdAzYdPHbAESWY1yHRfhIcCJ2Nq5FjsijLFrhh3fFVgiVMm nXE0y1adec37fM5yLM96rM921Fpk0i7bZz/sj/2yf9pBe2gX7aOdtLfSqEDZ TxzEQ1zER5zEO1ZwE/8Y4YF8rBVeyQ95Il/kjfyRR/JJXskveSbf5J38Uwfq QV2oD3WiXtSN+lHHW9oWys+xSm/qTv3pB/QH+gX9Y7Fpyx6inBsj/kM/oj/R r+hf9LO7Yb+Vf+dQaxHLcWTvJ1hjHa3WhlrdPR0ruydiVdcYLO2RiQ126Thu PQAXO2nhUkctnHfvi0VD70GZa4X4Ry1S+tSgyG4BGnXS0NBBco4ueWqvw8pu ZajVK0BN32IsD8zBB8aD8X5iKJ6NfBjRlusQ03ctCmyr8Ij5DPGhe1DfNw+r +6SiWScdw63nY5zFHLwSF4OL/SQO79wb57rLp2tvXNLujuOufdHsnoO6rnmY 6jARWT2WwsXpbQzr3YDYzmtRmXEvfhmgjbO9dTEuciqGdV2OnI6/zlcyOy5F Su9K1OgWY7VWKp7xeBDzh4xV47ImG2jOvOZ9Pme5VCnPene2xfbZD/tjv+yf dtAe2kX7snrUKntpN+0nDuIhLoVPcBIvcRP/COGBfJAX8kOeyBd5I3/kkXyS V/JLnsk3eSf/1IF6UBfqQ52oF3WjftSRelJX6kudqTd1p/70A/oD/YL+QT9p 7zd3w9G6Huya93bA2PZROLn8O2PBWvIV50lwcVsAG8e5mrE+au3i5+BkPAOu AyVnMZgA50HPwca4Abb+8+AQ8Qxsw2bBIjwf7hFuCAy0h6+fF7zcDeDv2gs+ 8vF27g1vp37w9jKAd7AJfCMN4RelA6NAPyyevxKHP1yCb99/BPu2jJE4PgyH OTbqmxRcOBaNplddEFIoZYPMYO36JNzFFhcjiXMNHoGn8US46z8Cu34TMHdK FQ5+9QCOcn2tzT44tj0Ghz7Lkp/l+tNwvLWqAQ4mj8M71QfB3p3h5aQDz3Aj uIf31rxjiZQ8K6Af/JwkX3EagOyJljj0QwjOyqfq9TCY+fZF1Rvh6pr3syZY qnIsz3qsr9qR9tgu22c/7I/9sn/aQXsOfZqF49ujcXKLj7L34JcPiv1LFA7i IS7iI07iJW6jIHPFA/kgL+TnsMrLwhRv5I88kk/ySn7JM/lWvJN/0YF6UBfq Q50CRC/qRv3sREelp+hKfakz9abu1J9+oFmveJLyD/qJ3b85Howf+in9lX7b 3o//bkdrRHn09HFs3b0Nn6m97C//fr7SOg/l+iW1x/rVm1ew79A36jv4zZ+9 LzEvY/fruPDLWfx46iC+OrhL7RGyc98O7D3yDc5eOClx7C9o+45f2j9z6ThG TBwHKx87jBzZ8m5CYvrS/DzcM/kRnLt6VopfVnU4n4N7jBQV5aOgOK9tTjvz Ao6nCo2LQFhCFEZzPxKJ4aMzhkE/1Ffyg1I1JmuU5BKZ2WmwD3RX1yPazYlX 62tlZaF25SKJ2S+quR5Hzh3C1j3bMOreEUjPzkQvJ2d15vXWPVvVc5ZjedZj /RHt3q+wffbD/tjvKPVupUjZQ7toH+3kfo7hidEIjY9QOFrzKOIjTuIlbuJX 3Akf566cVfyQp/IWHOSPPJJP8qr0a3m3Rd7JP3WgHtSF+vx46kfR65wqQ/2o I/WkrtT32vVffmevljvzlcvKf+hH9Kf2/nU3H5rvum/gnVmPY7ZOIqolTl5s MAYVRqNQ1X5vc4lFawzSMdu0DFUhBTg7WBubI23QZDkUGwyCJc4NRbPZMFRZ laJe4uB1JpHYIPfWmkRgvWks1hkPw3rjNGwwSsZGwwSs14/GeqNwrBkUhkbj oVjlEIU15pFoGjoUb8UPxQfh7mj0isN6mzCssI3FSr0YFYu/ou+PSUMexDDD GqTFV6ExPAmFhrPVXu9cFyvBrA4j3WZgmb7EGcYjUGVMm0vwRkQ4LvpwjaEM NX+jyigd1RK3lwcsQ1o/yXfaz4GRn7MGyWfAAgwduAJlmU/jg5gh2O3pgD15 A3AqRwc/BRqrM695n89ZjuVZT9Vv1ybbZz/sj/2yf9pBe2gX7aOdtHex2E37 iYN4iIv4iJN4UwU38ZMH8kFeyA95Il/kjfyRR/JJXskveSbf5J38UwfqQV2U PqIT9VK6GUcpHausS5Su1Jc6U2/qTv3pB/QH+kWl6a01yOg39B/6Ef2JfkX/ op/9r71baX/cvK52I8eZfR/geZsILNfiemBpWNklBau6x0ism4jlEfnYER2M cyY9cVni2vO6XbA5yA/VHqOQEbUST7o9iqZByVjBvV20U7GMe6S0rgPcRT4d clCpVYLagBLU2xZjoccIjDeZjvvcZiLSbAPSTRqQ4LIaY0xmY7bzvbjfahaC h72ME9b6uNihh1ofmB/uPXKqRz+c1e6Kn/R08I/AECyxLEdG73ok9F0BD6+3 UKS1EKF2r+ITX3/85D0AZf6Sy2stRnbXO/OVWuR0WIJomyYs7lOm5oxwHNYS lzIs9SrFtD7DsdSzVF3zPp+zHMuzHuvf9n5F2mc/7I/9sn/aQXtoV4LuCmUn 7f1n4BBlP3EQD3G1YiRe4iZ+8kA+yAv5IU/ki7yRP/JIPskr+SXP5Ju8k3/q QD2oC/WhTtSLulE/6kg9qSv1XS5xGfWm7tSffkB/oF/QP9r7y91yXL9xk29H MfHp1TAwffTfnLvSMufeZbLE4dPhbDWl3V4aj8PeVWJX0xlwGPQ4rFwC4evS D07u0bAJvBdW4ZNgHV4Bq6ixsIu2g1fkIHiGOcIvwhfeES4Sw1vALcwIHmES O4ebwzvSAK5xjtAzmYLRuQtw8vV1OLD+eXz38iYceGUVvnlrGQ5uq8FXX0/F 8ZNx+Hx/CIbPmwpHr3kwsZoER8tnYdbzURh3vx+2fR6BK99DDHgE8yYvxQ+f TsPhLb44vcVP8pVsyVvicWKbJ/ZveQbxCbPgXTgQft58x9ANXoEGLXmGjpx1 4eWnAx9Hbfi59IZjpBE2vuuBK8fCseqfAbAIMVZnXvM+n7Mcy7Me62va6ava Zfvsh/2xX/Z/XOw49nGcsov2HZFchfbOe3ypsp84iIe4iI84FV7BTfxfCA/k g7yQH/JEvhRvwh95JJ/klfySZ/JN3sk/daAe1IX6UCfqRd2sw0S/MMlDgu6F s+jq69JX6Uy9qTv11+wXqvEL+gf9xO4P1oH7M3NY6K/0W/rv9b/hvpGtx2W1 f+TH4PfsX3//BfYf4hwErnF8+XfzldbP5asXcJV5y7Wf8dk3n+CFd1/AJ9s/ xEfffYIvvvsSuw5/jZPnjuPajVv7u3Dvjhst39Nfv6Z5T/D54d1wTPBHeVGB mivemj/k5BVgwzvPqzK1r65Adm4WRpWVokhi+Pw71gvWlM+GW4iv/FyiyWEk PzCN8MeQlDiMk5yA89k5NismJR7Oki+MavcuhPXzs7Ixp2EOLt84o8Y97f1+ Nw5e/BETK2YgftgwdLd3UGde8z6fsxzLsx7rt89X2D77YX9jWubTcxwY7aFd tI920l7azfkq7esTH3ESL3ETP3ngseHt5xU/reUVb8Ifefzi8G5VRvGr8svW PVM048Gox8mzx7FLtKZOH30n+cv2zUo/6kg9qSv1/aO5+PQP5SfiL/ukLfoP /Yj+dPku2R/yXx03uTem/P+9+N3HWDy4EJUD7sUSs2zUGHI81XDNXuitOYuJ 5CwSZ882KEFdYCZ+itTG6yFeaLKIxQbDEMlRQiT2DUejRSaW2ktsYpCIjcYZ 2KAfj3WmyRIDM3eJkNh4iJQNlXOYnPk9vtQzCMVG/SGoN0vA+0NCcclBCwdt euNghC7eC3TBlkAnrA6PUnVqkjIQZ1GPKItm1Nsno0jvOWTqLUK25Ahpdosx Ke4+LB3I+ThjNHthDshCZUQeTphLrhGqixUxwzBfNx8VnnlIsluJjIHNyDKs kLyiXc5iuBAZfSVHD5uHNV4xWK2TgGa7TGxwDsTWfG/secpfnXnN+3zOcizP eqzflqvw3Y20z37YH/tl/7SD9tAu2kc7+Y5iidhN+4mDeIiL+IiTeImb+MkD +SAv5Ic8kS/yRv7II/kkr+SXPJNvDe+hSgfqQV2oD3XaKHpTt1q7UtExQ+m5 zjhE6UudqTd1p/70A/pD5W37UWYqv6H/0I/oT/Qr+hf97ObdtN/Kv3HcvKaJ QX/e+y5esIjCMq10rOmRhqYOaZJXxuLewCcwtN96PJ73BN4LHoIjVgNxY5AW /pkVhUy7OsR3X4NS2ypMdngMNSZ5aOqdoNbCrdfORn33PDR0ysUyswLs87HG MvMCrNVKwKausVitn4zGPvJ/1bsc4w2exFj32Yi3X4UEzzWoG1WMPQFWOGaq j7P9++AX7W4420Vi/O46OMm8pVc3XOjTE9vivVHuuRDZWtXwdHoD0X3XIKNL HR4LmIqm3DzEDVyD7I6VyOguPt2x9rY5J5laNcgLmq/eRzR2zlZ7zzd2yEK9 SSGmO4xWZ3XN+/Kc5Vie9drPhWG7bJ/9sD/2y/5pR0zf1fASu2hfueciZe9F sZv2EwfxEJfCJziJl7iJP8FjjeKDvJAf8kS+yBv5I4/kU/Eq/JJn8k3eyT91 oB7UhfpQJ+pF3agfdaSe1JX6UmfqrXQX/ekH9Af6RXs/uVuO1ghP/iIiOPNZ WFv/J/sEtuQoDpKz2M2Sdpj3tMajj8NJckhXszmws8qBt4cWApy6wdvdFN6h AbCOjoJF9ERYRC2CZXQMXCJ6wjOij8TFlvAKs4VnuCk8Ivqq9w9ukZ1hEZwD B4fn4Bz8HLa+/AKOvrYBB59fKZ9mHH5xI469tAf73vkAe7e+jM/3LsJ3hx/B mzsmomzaHHjlPY2pT6zDwjHLkZfwNJxMH4Nlj/Gw6/8AqqbX4uDnk3B4qztO bovAD58X4tQ2Dxz+6B7U1E1BTZM5Aj16wdtBG96eHMelL3lGb5VvePjrwNep u+QhPeDoMRDlMyxw4WQUNn8YBQeJ/3nmNe/zOcuxPOtp8pXeqj22y/bZD/tj v+z/1DZ3sa1A2UX7aCftpd20nziIh7iIjziJl7iJnzyQD/JCfsgT+SJv5I88 kk/ySn7JM/km7+Rf6SB6UBfqQ52ol0XURFhHRSkdqafSVfSlztSburflKuIP 9Av6B/3kz+wP+btjwsRP6a/022stnvx3y1hax+ts3/c5zpw/pmLP6zcvY8s3 23GK64OpcULX/+Xc7OsSC1+4rFlf+OKlU1jx6mqsf3MjDp/8oaWn67j0y3m1 t+AvV8637Hd/WRM/q3ky8rl8EbWvNaLswVEoLSjQ5CESwxcVlGDchPtR+XKj JpYvLdGMkSqSfCU/61f7MI4aUSa+4I/UzBS1zwnndWTkZaJ/sCdKSzR7kvD9 xjjJHYKjgxEUGaTmwaucYXgpinNy8eTSZ3Dhxmlck1j9w91bceHKCSxseBbx iSno7eKkzgsbnlP3+ZzlWJ71WJ/tlLXMr2f77If9sV9N/4XoP9hT2UX7aCfn xnuF+yv779zXkjiJl7iJnzyQD/JCfsgTy5E38kceyefNtvUPLiu+yTv5pw7U Q5M/QulEvRpFN+pHHann9et/Yg2FG5o1wugv9BuuC6bemYk/0a/a+9ndfLSO SfjstVcxp38KqvhduVrXaRyqjIskBs1q2xe9Us41koPMHlSM5UGpOB3bHS/4 h2CFaaxm/JCJZs7DOqNI1JkWosq6DKstErHBaLCKe9eahKvv8HlWcXO7zwbD UDTZRmNrqDvO6nfACbPOOGXYCecMtXDGqRMO2ffEMY8e2Jpij0dyJ2FkwFNY +NAIZHlWIMGA42mWINd4Pir9C7FkYCYq1ByRYiw2yMJCh3x8nWaJMz164USM DlYOHobRAU8jw2QRCgbWIU9/ueYdi+QVOfoL1H6MMb7NmBeejxcNgrHBJB3r JOZfpx+GJmOJQ6Ly1JnXvM/nLMfyQ6Ue67Mdtsd22T77YX/sl/3TDtpDu2gf 7VxsWqLspv3EQTzERXzESbzE/bDgJw/kg7yQH/JEvsgb+SOPTbYxitc7ub5d hxClD3Wqsi5XulG/9S16bpQz9aXO1Ju6U3/6QWXb3i45yk/oL/Qb+g/9iP5E v2rvZ//rR2ssennXO9hkEos6rTg1Fmh9pwQ86fAwknpXI5HzNuxWoDpoJF7x jcEzkWOw0KcU9/nMRGLXZiR0aUauWQ0ednsGC22Go7FfElZ2TcBi7Xxsdg3A BT0drA1KQFNHyYW4zwf3/OiShDVaidjUhXOQhqG5axomJ0/EqnuzMCd1LOYG 3YP1AcnY4u2P4476at+RyzrdcL5LZ5zoqotrfbqgsqgU8ZJXZ2gvhZP3u0jV WobRtnMx876HUOxcofZzzNSulM8SZLXkLNmSb6TI/Ym+k9E0SHKSzrlte8tz v5XpuuWa/Vha9pznc5ZjedbLbs1XpD22y/bZD/tjv6Ps5iJNrh0931F2xQ9o VnbSXtpN+4mDeIiL+IiTeImb+CcnTVR8kBfyQ57IF3kjf+SRfJJX8kueyTd5 J//UgXpQF+pDnRaIXtSN+lFH6kldk3tXKZ2p9+ruaUp/+gH9ob1/3E3HjRut +9r9IDo8ATvHKf9RDMl41NZpqsSSS+HoMg12t+0D+TgcXafDxrYCTq6+8HXW kk8vBDkZwjfEHS7RepK3BMEsbgbMEifCLtpB4uSO8pG8INxKYmUHiYnNYTfU CdbuT8DZeRKMrSZi/IwqnPr8LXz75us4+MpGHHpxLY68sgUHX1yDAx9sxu59 D+LQPmecOTIYO/eFw/NRK4yem4fXtkzFF5sbsG1DAx4YtQgOA6fDVudRrJhd j1Nfj8bxrXY4tCMVhz5JxKmdoXjxxTh8+roLQsJ04SN5RoBrD3iHGEuu0Qfu ETpwDRoIb8HD9bg8vQzgmToIn+0KxL7dxWpcF8+85n0+ZzmWZz3WZztsj+2y ffbD/tgv+z+0PVHZQ7toH+2kvQ6Dpiv7iYN4iIv4iJN4fxLcxE8evhc+yAv5 IU/ki7yRP/JIPskr+SXP5Ju8K/5FB+pBXagPdaJe1I36BTkZKD2pq6PoS52p 961cZYryB/oF/YN+8lf2Cf2t3Jj+Sr+l/7b357/D0bY22Ikj+OYg57Rp1nvi erSXfj6Nzbs2q+/Y1TpUf2bd25s/Swx8AZeuXcSnBz/HkeMH8OqHr+GNra/j p/OasUGMmxkvX7ws5SSevnb9YstaYRLfnj6KvV/vwM7vdqCgrBDlxZqxWtkS g7/8wUvYsmsLCjn3o2VOR2lxAfLyMm7PV0qL1LiquNR4+EcNUWts8X0G1wl2 ig2DS3y4/FyuWRuspFitLewW5ofolDiVW5SUFiAnKwMPznscZ66exNkzR/De 7g+Eg+t44bVNSM7MRl83V3V+4fVNEptfV89ZjuVZj/XZDttju24tayizP/bL /l3iw+A0NKxt/WK+dwkQe2n36OHlv8pXiJN4iZv4yQP5IC/kR41pE77IG/kj j+RTzR/iOl/XLyq+yTv5b92bnrpQH+p05MQBpRv1o47U80/tqSP+QT+hv1xS ay7fWk+OfkX/au9vd/PBWPImLmHlAzPVnn5LzHNQzX0zDMZKTJqLyvZjw7je sUkG5gwswgqJu08n9MImz3A0GsVKbBuCNcbh6nv7jcZpWGUSj1rbItTZFEns O1TNkWiNl9epz60Yer3E1c22kfg0VPIKo444bt4VJ8y74Ji5No6baeOUSScc N+qCyyZaeCvCD/O9JJe6pxiTIx/APfK7bdyQaUgavAzP2ZSjxj4N9YZ5qBlQ hqUGaXjOvAwb/UJx3qgbTg7QwcmgHpg69gEMtV6GlIFVyNJtkrxCYsh+8zCs fy3SQpfgmZCReGlQIFYbRUgOltHybigU683C0eSUhXWm4ZprU81zlmP5Z0JH qvpsh+2pdqX9lIHVqr9p0i/7px20h3bRPtq5VOxtoN1iP3EQD3ERH3ESL3ET P3kgH4oX4Yc8kS/yRv4+DbUSPqMUr225CvlWuUp4S444ROmi5qiIRtSLuhET daSe1JX6UmfqTd2pf2W7fSfpH/QT+gv9hv5DP6I/0a/+r+QqrcfNljnUV77Y ig0pz6JWS2LkLhITS/xb4rQEydzbvQP39qzCyKhKJBiuxnCb5zAraiSeiH0E BRaVGKa1Amkd65Gi14QR9nMxy/5+LBuSgZ9MuuHSQG1sDQzE8g6ZWNWNe1Km YpU29yeU2Fs7TcXfz/eKRan1QozVn4MH7Gchoc8qJOmvxFj/2bjPfiaW5I/A P10i8WWYHc6bauNy524456iDksEVkqc0IMRmEwabvIhs41osyZB8yrQMGQ7i 01qSV/SQ3L5LtcoxcjrVILFTAyYOmIBVvTKwTFuz/4nab6V7LmbolKozr3mf z1mO5VmP9VWuIu2xXbbPftgf+802qVV2hFhvUnbRPtpJe2k37ScO4iEu4iNO 4iVu4icP5EPld8IPeVJ8kTfhjzyST/JKfskz+Sbv5J86UA/qQn2o03CbZ5Vu 1I86Uk/qWir6UmfqTd2pP/2gvV/cbUfrmP/a5zdDz3I8nF3//bFgrfmKndM0 OHk0/ka+MkXNV3B0eVLizEo4uNvBz7GjxOzd4OdsgMHBPvCIHAjnyF6wiouG afIUmCXlwSVK8pWwjhIzD4B3ZH/YBpXB3qkBzi78jl5yo8DJeOsfK3D4kxfx 7dY3cPC9f+LQpjdweP1q7H1zA374MQ0H9wzGuUNRmLXMAZZe3WHv1xE2UV0Q UWSPydMcULcuF4uWlkvfY2BmNAHVCxpxeud9OP+xL459no2fvoxBaJEjltXZ 4N77jGAyoBOcLbvA1bGf2KUHT7HZRXINNcfDSRv+bjqwHTwIi9f44Mg3KfAe 56XOvOZ9Pmc5lmc91mc7bI/tsn32w/5CCx1V/7SD9tAu2kc7XaLGKLtpP3EQ D3ERH3ESL3ETP3kgH+SF/JAn8kXeyB95JJ+KV+HXNqhcrX1M3j2Ff+pAPUxT psAqNlrpRL2oG/VTOoqe1JX6Kp3V/JT2+mvyFfoH/eQ/ylc4Jkz8lX5b+8Lm 2/z573JwvA73zLjRsh5Y256OEmv+cPJ77Nz/qSr3V/YXvC7x6rbdO3H8vGYt 4L0HduH5tzdhyxfMf85rOpZyVxgXq9zlHK7dvIxTp3/EZzu2qMfv7fgnCory kJeThfXvvdhm75p31iGL48E4F0VyE+4h/1v7qJRIbO8c4o3iopb8RuL5Yonx +wZ7Ijs/W811b93nnrG/uY+d5ApDUVSSj+z0NDwwfwou3TyHE2d/xK5vNetc /WPPR0gtzEcfB3t15jUPPmc5lmc91mc7bI/tsv3WXIr9sn/aUVyimXdP+4qL Clr2jin4zX1biJN4iZv4yUPrQX7IE/kibzzII/kkrxfVHPrzim/NOm1QOlAP 6kJ9eBw/d1TpRv3+rNYaX4HyE/pL2zoNLf5Ev6J//e+MC9P8/z1x5AvMtktH lV622heE+5IvMRytxlXduTd6a86yfHAKfhrWCy+6h2CF/lC1nhTj4rUcX2Qi f6+NgtFklowam1I0WGVjvbHE90ZDsNa4NXZuiaMNpY5dNL4KNcBpw5Z8xayL 5tOSuxy36KreIXwaboG5qZKXJGehpmca6sxSUWuVhinD7kdCSB3uG/wE7nGd jqejJqPCrlDtO78l3h0/22vhZN9+OGbXU/KEIVgQlIf7oyciIXQ5oga9hrTw Rjwa9xgaA4fhBb1AieVDBUMi1unHqdxEzWk3icAKp0x1VmsB8L48ZzmWZz3W Zztsj+0mhjZIP49hweA8bJJ+2T/toD20i/bRTto7Tuym/cRBPMRFfMRJvHPT yvCZ4CcP5IO8nGjHFXkjf+RxrV2U4lXp0ZqrME8R/qkD9ai2KVP6UKeNJnFK NzVOz0SjJ3WlvtS5NVe50xfoH/QT+gv9hv5DP6I/tfev/0vHzZa/ifw2feOo JWqv9LUdU7FS+CniOL+Okqd0XCpx71yM95yBuJ6r1Vq9o9xmYlLSQ7g3/mmk 9q1HhsTA6R3qEN97NabHT8YObxecse+Jj81dUKeVKnEx36VI7N2FnxQVg6/u kCT5ZwlS9Vai2LgSM0IfRlavWrV+cLrWMiRor0R2z6XimxswNmwO7vF/EisL s/FuQAjqh+WhxK0GCVpNcLZ7B1HG61HtX4qVWul4xvE+JFo2qzFZGd0rkNl5 KXI7VCO2TyNGms3Ems6pWNYt/1a+0i0Hz+gUqnNbviLPWY7lWY/12Q7bY7ts n/2wvyrpl/272L2t7Cl1W6rso520l3bTfuIgHuIiPrVOsuAlbuInD+SDvJAf xRP56qrhjzyST/K6w8cF0xMmK77JO/mnDveJHtRltOhDnagXdaN+1JF6Ulfq S52pN3W/doc/3G0Hv43j99E35N+DU9fAyPTRP97T/E/mK/bO0+Di2QQHl9+K RzVz8h2dpsPCbxKcAgfB16ELfJwldnfjGln+8Akzg2d4VzhH6cIiKQ2GWeNh nRgqz7rLfS04+SVLPL0ATs5zJV6thoXlXKSPXIwf1F73a7D/o/U48NF2HHp3 L/a9PxnHvgrFD3sjceZoGKY8YwUrv17wiZEcKFQXLsE6sPc0gIt9B8REdoJP 5gAMKzbA5EVDsWn9g/jwvWAc+nwYlr8+HpbeD2D8M6aYMcscE+4xxMQHDJFe NAgeMaZwCOJawWbwdtHkIX6Sj9h7D0TJJFfs+z4FgbN91ZnXvO/Xmq9IedZT 9aUdtsd22T77GT/TVPXb+MZ4sSNJ2bNR7Hpc7KOdtJd2036FQ/AQF/ERJ/ES N/GTB/JBXsgPeSJf5C191GLFI/kkr+TXUXgm3+Sd/FMH6kFdqA91ol7Ujfr5 iY7Uk7pS39+eSz9Z+QX9g37yn+Yr9Ff67YPT1ig/vqHmYv33j9bvuj9uHQeG 2/c818Sh1/DFt5/iuxNcq/eG5jvzPxW/Xse3p77D9h++VPO01fxRub9998fY 9Nbz+Ho//zZr9knX7PHxM65Iue+Pf4cdX3AtZc1vrje3v4I1761VP1+/dgU3 pNwNaXvBxmVqPSyOo8qR38V3rkncOu8+MHoIhiYPxZjhw9X4K94LToqFeWQA yiSHyMnPlNwhE0US52dkp8DBzxklpYUYnl+A8fOniYUX1Hzz7059q2z45vjX yC8rRA87W3XmNQ8+3yvlWJ71WJ/tsD22y/bZD/tjv+aR/ghOjsXYFrto31C5 pr2/tcYyr4mTeImb+MkD+SAvPMgT+VJcCX/kkXySV/KreYd1Q/FO/qkD9VBz WrgamJTbfuBLpVv7nOOPtb6k6n4r/kE/+T0fon99/L80LuymZu79loppeFZP Yk7TXCwxyUS10UhUmnBflszfzFk4Nqg+MB1nEnvhVc8ArNSPwXoT+X1pnipx L+ethGjiY6NwNFpJfsG5EfJsI99NGA1p+96f639tcIzF3kj9385XJDY/ZqaN swO1cChiAD4Z64Jt4otzDIpRYZaD2v4pGBs4DcPMJCbTqUCi6VLkWCxHql0z ioOexaSxD2Jbng1O2ffBzkgvrLaOxgv9gvCC3WAsd4jDCuNkrLLLx0tWwdgw MFji+0jNXBujYdhglqL52VgzjmqFTaY6r1PzO4Zonku5dWpttEhVn+2wPbbL 9tkP+2O/7J920B7aRftoJ+2l3bSfOIiHuCpMc9R8EeL9ZJyLwn92kJbi44TK WX6dr5BH8rm2JV9R77CEb/LeaJ6GpdRB9OAcFU3+GKL02iDaUD/qSD2pK/Wl zr+Vq9Av6B/0E/oL/Yb+Qz9SvyP/xvt1/3993OR7pRs31OjUFx9aIDFsNDZ0 TMIC53LEG0k83KMOUz3uw7qeMZjmNBlJes1I1lqu9vscGT4b95dMQ4H/EqR3 rJP7DZiq/QhW9knDKss0vB4cieU2kh/0TkJjJ+7HPgyrJA5v6pqGDV3j8Zjb FCR3XY7s7rWYE/AA0rQbkMW4ukuN5AhVyO6wFHmSH6Rr1SNOyqXpLkWowcuY OXoCGgvKUZa2GJ5+/0D6zHp8G22NJf1K1D7uT9pNQJyh5AcdJV/psUjlBsP0 avBI8ASskhyD71Ia2nKTHDyrU6DObffkOcuxPOuxPtthe2yX7bMf9sd+M2Y2 iB3/VPbQLtpHO2kv7ab9xEE8CleXGoWTeImb+MkD+SAv5Ic8kS/yRv7II/kk r+R3ardHFd/kPT+gCg+UTBU9nlO6UB/qRL2oG/VL71mn9KSu1Jc6U2/1NuXG DY0f3KVH61+2q4LDJ/4Z2NhyHeP/PF9pjUft/jAefRz2jtNhE/gwvCXGVWvj 8uM1ED4RTnANc4AXxx+FdZD42BimGTkwzB4Ox3gLWA3xgbXTU9LPJPlMhYvL HJjYVmDW/E0488VmfPPBRhzY9h52bd+Kbw/k4PgXMTj8dQrOHQvH9DnWsPTt BS+Jud0j+qiPV3R/eA8xh4ddL3hbdcVg3+5YWWWGD9+xkr4t4RQ0HXVL3sb3 G97Gu29lI2N8H5z5bDDOfz4Yx7f74aO3BiN3qg3shhjD37WPxO7dJBcRLH4m CMr0xJadQchqDlNnXvM+n7Mcy7Me67Mdtsd22T77effNHNUv+6cdtId20T7a 6SX2KrvFfuJowyT4iJN4iZv4yQP5IC/khzyRr2eFN/JHHu2FT/JKfskz+TbM HqH4pw7Ug7pQH+pEvaib0k90pJ7Utf0YsF+9f/vDfPavfeiv9Fv679WW787+ 2xHbr8eB3fjN+PTmjcu4JucP9uzA+YsnNWtA/Zm97CUmvnj+JL7cy30Ff1Zz JW62fK9/7tIpvL39Lbz8/ks4ePx7tMbQN6Xtw6f24+Pdn+DKtV9wCZex+LWV mLepXpXgHAnOG+e87qtSfnZzlYrdCySOL73jXYRmH5UypGeniT/cmg/C9YIL C7LhX5yGnHLJA4oLpKwmNxg7cgTiM5LgGOqH0oJ8yTueEBvO4au9O3HhPPe4 v44LP59B+ejh0LaxUmdeq/vy/Esp97OUZz3WZztsj+1qbCpS/bFf9k87aE/r fBvaSXtp96/2mZQPcRIvcRM/eVB8CC/khzyRL/JG/sgj+SSvrbkh+Sbv5P+c mqMCpQv1uSr6Uy/q1rovyx/PWdGsHUe/oH9ca/GX385fb/xPjQuj/fxcFcUb EvKwSDcVS8xyNPtpGN2jWaPW+Nc5S43EsM9JLL00OBcnYnvjVV9/rNKTmN0o Auv1EjRzutXYr1D1Hf4a42jUWedrvu/kfHCVs4RirUEoNjnF47sYI5xivmKp reJwvkPgWKeTRp1xzlgLB6P7oTKmEB/4uuJVr0DMtJY42TATtaapuM/yCQwz kJjMcAGy9eYja6DELnpNSO9eidjkWtQHxEseFYrFYWOxymqoetew1iAcGw1C sNFkMNYbxKJZPxPrzPgeQjPWixjWGUZociqVW0m+YpWpzmtbx1gZtsPK9y1S n+2wPbbL9tkPy6+yilX90w7aQ7syelQqO2kv7ab9xEE8xEV8M61H4VXvIMHt ovCTB/JBXtSYuZa8hbyRP/JIPskr+SXPq80TsFR4r7MuUDpQD827l/A2rOtF N+pHHakndaW+Nb+Vq7SuXSz+ofbrEX+h39B/6EetPvV/+VD4b9xQv8/enPQU 6rQisVFi2qesH0W40UuoZb6vnYYV2glY6DAcJbbVGKbVpOZsZBrWY0TmAgwv n4tU+2UY5zQXGwckoF4rE28PDsZpt4HYZuOJtQ4JqBuQivquSRLrJ2KFQSay JN/N1qpBUrdG3O82E6O85qn9TrLv2OuR8X1O5ypkaTP3qEaGaT2qOxRjtX+q +JA9zibp4rxxD6x1z0RNJ/GbrsmYZjsZQ/tukDYqkNGpCjkDK1EROByNWtlo uCNfma2Td1u+wucsx/Ksx/psh+2xXbbPftZ6ZKp+zw3rq+ygPbSL9tFOZW/n lvyk3Z6TxEecIwUvcRM/eSAf5IX8kCfyRd7IH3kkn+SV/JJn8l1eNhfDMxYo HagHdaE+1Il6UTfqF274ktKTulJf6qyiIuYqd7n/t4713/ndD3CQnM/eSeK/ /yhXuTXex9mjEbbO/2J+gsTFdg4zYek/Hm7BhvB17gkf+y7wCuD4KjP4hNrD LcJMfb/vEdoFjnE2MMnKgElhMMyC7oWj7VRNXOwqeZbjFNh4PYU1m17FqU/e wXebd2PX1wvx4wEfHP42Aof2JuDno0mYv9FV4vCeEnNz7eDWjw7coiTWDzKG j0s3eNp3h62VNioX2qO+1gxzFybj0qtvYt/qnTj90SpMmGaDV9e44ML2ABzb 7I/zHw3GiR+GYcQz3nCx6QU/1+7wdeoMP097OIdbYtGrLnjirVh15jXvq+dS juVZj/XZDttju2x/wjRb1R/7Zf9zxI6GOjNlF+2jnbSXdiv7BUcrJuIjTuIl buInD+SDvJAf8kS+yBv5I49qjpHwSn5NioJhkp0hvFsr/t3Duys9qAv1oU7U i7pRP+pIPanrH+Wz9Avn3xkv+JfzFecWvxX/pR+39+v/5qEZB/bxbePAfjvW vIqzl85g89cf4/rN345Jfz2PRWLp65ew9cAnuCYx9VX5mTHxFbVfiGZ/2h+P H5TY+WW8tf1NnGUuJMcPp/bhs/2fqZ8Xv7IcSRmpSExLxTPrlkktril2Rc0X 1+Qsl7FgYz2S04ahvLiwbT2xtg/3bxleCrdQX2TlZao1ugqKcpHDeSCjxyDz gfuk3HCUlZW37D1fqOabhMWHi994YkrN0zh99TQ+/m6nYLnILwCVDaOfnogu xibqrGyS+3zOcizPeqzPdtge21XvSFQ/w5H54H2qf9pBe2hXtthHO2kv7b5t bBtxCT7iJN6rap3pyy1rC19RNpAf8kS+yBsP8kg+eZBf8ky+ybsmY76q9NDk KpeUTtTrets6CP8qX7ms/IF+Qf9ge7/3TubWuLD/ofXC1Jyu6zhx4EM85zMC iwflqj3Yq02KUGk4DpXMXX4Vs2rWDXvOtByNsck4FN0dG30HY63EvBvNcyVG b5lbr8YiSVzcGjubMXYuRp2VxCYmMRIrB+FFp0T8GGOM40adcMy0G06adMFp g444b6GFQ7498Wa8DxYEFmOubiHWRsRg61gHLHLJx+IBkjc5ZODhkMeQ0m9x 21rCWQbcl6UJGbo1GJU9FWtdpP8BIWg2i0SVa6bE6yGaeTRt8ztCJF5PxCbD JLWGL/c22WCWKz9HaPaUUeVa8hVjTb7C+3zOcizPeqq+tMP2brUdrvqrdslU /dMO2kO7aB/tpL2tayoTB/EQF/EtcslTeNdEDFX4yQP5OOTbS/FDnsgXeSN/ 5JF8kte1pjGotWKOWHx7jmgc3oafPyu9qJvoRx2pJ3WlvouNc36lPf2BfkH/ oJ/QX+g39B/60c3/w+9W2h+tOQu/B9r2xAQ0aIVjk8TMlfnyf8qgDMslfq/r kSsxcCLq9HIxxmMOUvvUI1ON36pHlu1SFOUuQnTWaszyfRAbtOLQHJCKk3r9 8UtnbZzR64evXZ3woksEmvTiMN79MSR2aEBexyqJs+sxznM2HrZ6CkkdVkiM /+v9U7I61SGzWyUyJXfIkH4Xuo+WuFv83jEDp/v1wqX+HbDdzRtLdEvR0DUH q7ulYLr9ZMT1WoOMzguR12selukVYTnXXG6Xm9TLz3N1NOe2fIVjw6Qcy7Me 67Mdtsd22T77+Vj6Y7/sf53YQXtoF+2jnbSXdv9q/5bO1QrnQ5ZPKdzETx7I B3khP+SJfJE38kceySd5Jb9R2atRnLdI8U7+qQP1oC7UR+kkelE36kcdqSd1 pb5qvZf/gVyFR+tY/3mNb2Gg2UP/0TrGd+YrDm51f2o+tYPai+NpmAwplRjb AN4uuvB27AEvrp8b0Q9uYfbwDrWS+Lg3nKN6wSLCE30TR6J/6ixYBM+FndMT cLTnWlGTYW03Cc6Rj+OdN9fiwBev45vv43Fkv/y+2x+Kg/uC8NPBBHywPQke sQYSe+tq9k5pzVnCesMzahB8fPQl/taWfKIH3By7oWiGKZ6oMMDRD6bjmzW7 cfTNrVizPhmz5vjhymdDcXRLII5+6I2ftgdj/740hEX1hpddF8GhDz93OzgO NsCj821QvTNRnXnN+3zOcizPeqzPdtjelc9ipH1/6ScFx6S/vWt2qf5pB+1x FbtoH+2kvbRbrVHWln/1VviIk3iJm/jJA/kgL+SHPDkJX+SN/JFHO4n9ySv5 Jc/km7yTf+pAPagL9aFO1Iu6UT/q6OD8R7lKS77C9RjEP/7fyFf4od/Sf+nH 7f36v3H8ehzY78eZ7ecnfHt0P776jmN+/vVYodY856u9n+LMOc1Ysxst64dx rvfNdusaf/3tl9j41kZ89vVO7Du1F1+f2Y/mN9cjOycTI9RclCIkZyRh2vK5 uHDtrGpfE6tr1s+tfXW5xPvpKC8qum0N4Nb95CMToxESFy5xfxEyWU7aG15c jqz7RqNgzAgML5GcpZx5i2avxbGjhsPN3wMFT43BT1eOYfeez1Q/XKuE36hP lXykwyADdea1Zg2TG6ocyxfMGKPqsx21dyPblfbZT8HoEdLvGNU/7aA9tIv7 xUSInXeOBVN4igoVPuLUjJ+73LYPCvkgL+SHPJEv8kb+yCP5JK/k92s1B0ez jrFm//rzSo8brWO2RCfq9a/8of2YP/oD/UL51b/0oav/e+PCWtcLe3Ed5vYJ RbVpHioZixpJ3GqoGfOz2OjOuDUH1QYZmGNdjHdTXPFjRE+s9B+KDbryMY7S zPFoiYlb42OOTdpgFIpGzs2wk5jNPB2v2CXjlJ8BLvTXwjlHLRyR37d75Pfc 6wnBqBqcidlc72tQNpYYZ2GeXRF+yNNHrZnE0voSzzvmIztqETL6ViDTsHUt 4QXINajDsP5r8Ojgh/CyTSDWcP68YQiWOqZiuXWCsuHW2K4wlW9sNErBWqN4 sT0a6wbFtrxbaY3rJV+xzNSsA9yGKUyVY3nWY/31rWs2G2vmtyusVvGodUhV /dMO2kO7aB/tpL3KbkMNDuIhLuIjzgP5BoK7UOEnD+SDvJAf8kS+yBv5I4+v 2HMv7XTU2JYrnjcahbQbgxd+K5c0DlU6US/qRv2oI/WkrrevWZyt9Kcf0B/o F/QP+gn9hX7T3o/+/6Pl4O+G65rvVHZPuR8LtRLwsa0fdoU7oVqnEI2dcrCs Rx6WcV5F/zhMlZggyYjzMZYiqW8Tyv3m4eF7p2D6pIdRF5CPGtNSHNPWw5ke OvipRx+c1+6NX7p3w/5oOzwQNwsZphKj9+JeJpp3KA9Ez0Jqr+W/uT+9Wku4 SzWytRdiWLcmPGQzA+u6J2NRn3J8ODgIV8074YRLP/GlbNRzTWXtXKzpmYqn XCchSXsFYgcuw+JepVjRNftWXtKSryzQybw9X5EPy7E867E+22F7bJftsx/2 x37ZP+2gPbSL9tFONd//N3AQH3E+EDULOV00+MkD+SAv5Ic8kS/yRv7IY7Xw SV6fFH7Jc7nvPMW74l90oB7UhfpQJ+pF3agfdaSe1FX9PaLO/wN/C9RBt5V/ 2WMqYG7+GBz/47krLfmK6zT5VLXkK3/mO/LHpewMmEQOhWvUQPh4DIKX10B4 RHI9Kl34ROjDNjwZlp5PwsZtmsTF02DvOBUm4c+gb+7DMA2eIbH2E3CR+5YW T8EncR627C7B6R+CcGBvqMTpISpWP7QvGIcOxCO51BrO3gbwjNHXvJPgvict +YtHhBG8PKVfmy6IHqqLXe/64N5Jplg82wJnttThyw2HsOfdKZJ7mOPH95Nx dmsSTm5NwMktQ3F1bxpmzQ2Ek6UBAlwt4OuuCwfvQciYaIzKHfHqzGve53OW Y/mre1NVfbbD9tjuo/MtpJ8n8IX095P0y/7vfdxU2UO7aB/tpL2t+YkGh47C RXzESbwK934ND+SDvJAf8kS+yBv5MxvylOKTvNo7angm35Ze0xT/PuH6Sg/q Qn2oE/WibtTP4XfHgN3+oV/QP+gn/2/kK/Rb+i/9mP783xoQ9mfHgd354RpY /N3yyb4dav/HO+cp/F48u/f4Puw78S3acpybjJMvSJx84dbeg5yJcf0idu75 GHUvrUTBvIfV+4bRI8pU/M594jlHPTMrEzNqn8X5qydw9fI5XOF+8mrPj8t4 c+cbKHtgDApzsjGSMX7LemGcy15UmAf7IBdk5We0W0OsHKVSLmP8WPm5UMpL TlE2AqXyGT58JPLz8pE8oQjvH/wEP/x0RGPjVc1cjbqVldDqN0Cd299nOZZn PdZnO2yP7ar2pZ+M8eNUv+y/1RbaZT/YRdnZts6ZnImjMCdH4SI+tQ+94L0s uImfPJAP8kJ+yBP5Im/kr2Deo8JnMz4VXtX7Idxoy/UuqDXCWtb/atGKOlGv f5WPts5JoR/QH+gXyj/+1Lym/61xYfyPrIk1z2Hds4vwbJ9cVJnnSHzKOHU0 KoxLW8aF3RHDyvMqvUzMsS3FDvkb/o3vADR4F2OjQbLExkPa8oFbcXLL3G/j EDWnos5U+vEYga8fcserYYPx1pBALEnMxAL7AswxlzyFe6owTpd+lhhkYYFt AV5MCsF87yJU6WdirpSJt21QezW27X0icX9Ov0VIsduAuREleH5AkNq/fb1x mFqrt8otq2XO/O3z0deZRmCVUSrWi03rzVI0czva5SvLjW/lKxocIaocy7Pe OtOI29cTMNbsP8/+2C/7XytlaA/ton3/D3tfAV/VlXUfnOAa4hCIuxAlriQQ d/cQrN5SKK6ltFA8SIQQILh1qEFpixW3Uoq7u2tY/7POfS8ESr9vZkrnP+3v uzOvl3ffOfvsvdZOsvc7sqnn8zxrsrSD9tAu2kc7aS/tpv0Sb+IhcCE+xIl4 rfPxkPgdfN8eMxx6oMQgReJLnBdV6+tfY17JX/JDnsgXeSN/5JF8TjP47Xwa +Zd+IPyBfkH/oJ8sEf5Cv1H856/+c/AnXFwfJ9O4h/jl0yH4xc4YjxrVw7f+ 3iL2zcTcOozt01DcMBHzG3TDWLNeKAicickmPVDZKgKLW0agsm4kxnctxNtj huC4hwFu12mCuxpN8KBhA1wzaotFHRJEPpCI2fpZGGA+AOlmkxGmU4a+Xccg q47I5WsVv7B+qmbdx4RGU2R8nms1GSWtUzFXQ+SqbfKxx8keTz1q40fnLihq lIlyoV9xvVRUNo/FCJv+iAqcKuuGzqmb/Jt8ZdIr8hW2Y/vIwGmyP+VQHuVS PsfheByX41MP6kO94uR+lym/qTOpXt9G+2gn7Q3TLpP2EwfiQVyID3EiXsSN +BHHt8cMxfiQnhJfibPAm7gTf/JAPsgL+SFP5Iu8kT/ySD6VetT42+QqajNu 338AB//RMDHn3pU/Fjc+z1dEPCr4NLX85/MfC5EzmlqPQIcQdzh2FXmDeyc4 +BkJ3erBJNAKxrbTYGc+A5Y2Y0VcPECJU80GwcRpEHRDP4OhbzF0WG/SJxxG 7hYI7dEUuw544vpJ7jX3lrE677fO+2PWAjdYGGvC1bktHP0MZPxdPdcS0Bwu 4pm5qSYmTOiEqp+9cHm7J3r1a4dFS31wfN0uHFm3HUVzxd+yZZa4v8MbV7dG 4OLGrri90QsbNiXDxVEbLlYN5PxHZycteBQYoGhjiLzzvTJ/00C2Y3v2Y3/K oTzKpfwj67aJ8XbLcXv105Z6UB/qRf2op9yvoppTkfmdeEa7aB/tpL017Sce xIX4ECfiRdyIn27oeBgLPImrkkcOkHgTd+JPHsiH5EXwQ57IF3kjf/8s1/QL S6sp0k9eR75Cv6X/0o/pzzX9+z99PXz08DfngdVct8O4kjHt0yfi9fguqh7z jE3mJ49EjnAXm/dvxIP71+VapGc865h74FVtZR/WeeearWePcO3meRw4zO/T a+Q3zx7Kc6pYS12eVyU+e/j4Ng6c2YvyHxagnasN6pkYwtLdHoHhQbIefHZ2 Bvr2LEBmWho+nv4Jbj24KHS5hTv3Lws8lf0Wx66dxOBxg5Akcpb8rOdzLbm5 mbDwskN4fLisd88zunJz82WblD4FSO5biIJM5ixKnpAn2qSlZOKz4o/xzdZv ceOmcibwk8dKTcula5ZDQ6u1vPNSnj+R7die/difcqQ8IZfyOQ7H47gcX54V JtpECL2oH/VUz6mwDfeqDB43WNh1StpHO2kv7ab9xIF4EBfiQ5yIl6W7g8SP OJb/UClxJb7U8QXcVWu+1PkHeSJf5K2af7UPiLuaa/JO/ukH9Af6Bf2DfqL2 AWXN3v1X+tfz88Ie/ued/0+4lH0H4ueq6gnmdE3C5Baxyl4W/RTM0O0t4uQ0 VV2Wl2JZniMm4ufRrr1wPLAFDnY2QbGpiJd1a9QqrFEDRJ5DpeONefphWGYX if3d7FGWk4a3zD7BZ237YkbrXBTppKFIV8jVTcR07Tgxvni1j8fEVulYmemP VYU+mNQkFVNdhD+2n4h4Eesn6U5CktZEJLaciLD2JegTOR6rjQOwUM+3emyO W2YeiVLLKOWc5Wr9lL0rSw2DsaxldyzXC35e31Kdr2jXzFeU+otsx/bsJ/ew VOdnyrnBHKdUjMdx1ecJU5/VxoFSP+pJfak39acdtId20T7aSXtpN+0nDsSD uBAf4jSjVa7A7Q2JX2lOqsDTTuJaIfDluOq9Ki/UYxHPyA95Il/kjfyRx2mv OBdOqbOSJv2A/qDsWYmVfkJ/efbs75Cz/3mXrNEq4Ll/ZBNWWYXipnZb3GnS CEu6RKKocTbm1ktAWcMUzK6ThkWWYbji3A5rrbxQ0TAOZbUTUSbyxW/b++AX TzOcim+Hq11bYEeEJdaZ+mBBx3hMq58jcgLWZk/EgnqxKG+bipGm7+NDn8GI 9ChFBPMSjZlIrjULSXVfzFfi6xchod5URDcvR1GnXJQLXZhHzDVOxNWQNrgY pYMygwyUMi9pLPKReimoaBSHUemFmKkrntWNlbo/z1eEvzSLe2k9WIpsx/bs x/6UI+VRrpB/IUoXV8R4HFfmMUIP6kO9qB/1rJmv0A7aQ7toH+2kvbSb9hMH 4kFciA9xIl7EjfgRR+JJXIkvcSbe6wTuxJ88kA/qTn7IE/kib+SPPJJP6ft/ o5qoT1VrZlZs3oH25v1EXPrH14IpL1W+YjEBZsxX/ukcaJCSs9iMhHGIE+xD RDzubwa7MC0YefSBNfdo2w+Hhd1M2Np9Lv49RO5Z4P4Fa7PhaO85Au0KA2GS bo3OIS1g2bkx/LPbYuM+d9w8LXKWQ944I2L280e9cfi4LwLSTWHfqT5cbJvC yU0XjgG6IvbnHEUT2Pm3gbO3HnZ+aYdrWz1wY1sXnF/nh3eHtcH273Kx/8dj +GHtAEwu1cMtkUNc3OyMS+J1bZsnzp+KRFCGARyFbFfuLXHWhUu4NiasCpB3 vudzfs52bM9+7E85lEe5lM9xOB7H5fjUg/pQL+pHPakv9ab+tMPFtom0i/bR TtpLu2k/cSAexIX4ECeTdBuJW3vP4RJH4klciS9xNhd4WwvciT95IB/khfyQ J/Kl5Cr/ZN4ha6YMkf5hafsH66/UnGMR/ks/pj/X9O//1PXiOjDWQlHW/fD1 VBWPKvMdyv6S3158XoXLDy9g08ldooWqTj1eVdOJ/Z/K+JU105+8HMc+VfZq PxLvfzl7GF/t+ArHL57Cdzu/R2pmMoxdHaDRyQCN3Kxg2cUeroHu8AjyQXhC BBLi4jBywlDcfnRNjnP37mWRK5wXsu/i3rPbmPv1QmT1yEZmSioys9KQnpUi cxWXgC6yBgrXW8k5jxzuFclE/Dt9kc2aJqp9Iz3yc5AUH4eSyunYfmoHfti/ GU+5V+OJsi5u5a7voWFiIO+8+Jyfsx3bsx/7U46c4xFyKT/+nT5yPI7L8akH 9XEJ7CL1o57Ul3pTf9pBe2gX7aOdtPfWw6vC/iESB+JBXIgPcWrkbiVwM5T4 EcfvhI7ElfgS50dyb8pz3tV5yRMVT09l7vV73/c+UXxGfE7+6Qdyzkb6wKv4 f6zkKE9U/qXmXa4Lu/S3WhfG2jysj3nl7AaM8xD5iZbIF3hWrX4WpohYdfpv vndXnW1rkIipWkkoDYrFDYeG2O/miVLTaCzR9sESg+cxMtclLdQJQIVFLDb6 BeKsQzs80tXAt35uGNvhDQzu0B/DrYZhmk4vlBgVYLplDibY98bYTj0wQS8T 45umoqhzMlb5B2By0xSM7lqAxI6TkNBkMiJbzEB4+1mIsZ2N/tHvYqFpOJZq RWCxoer8YfUaLj0/TLdLQKVhoNCnRp0SzrkY+oscJBGV2rGquQjf38lXfOXn bMf2si6LXo26MkJupWGAGIdzOb6qvEiVMwh9qBf1o57Ul3pTf9pBe2gX7aOd tJd2036Jg8CDuBAf4jTcarjEjfgRx0c6GhJX4kucibdcD6Y+L4w8CF7ID3ki X+SN/JHHV/ObJPmnH9Af6Bf0D/oJ/eXZs79PvPZnXFVPlLUIO8uXYzJrCZrE 445RS9xq2hQVnVMxXTMH8+rFCQ5yccDeGo80NHC/kwbW+ftghU83XDHWwu0W TXG3dmPc1WiMU646mNgvC+P98zCzfiYqNBKVPSSayrqtsnrJWKgRhalWPZHn Nx0Dxd/+uE7TEN64GLEas+Ve9GTV3ISM/+tPQlTTOfjQfCgqmX80SkZRnWws d4zA1d7N8G1AkBynXDMRJZqpsu5i31bDke86AXNbcb1UYnXOwnylqFm0vKtz FX7OdmzPfuxPOZRHuWv9g3BNjLNMjMdxOT71oD7Ui/qp51KoN/WnHbSHdtE+ 2kl7aTftlzhoKnUsiQ/HmSDwIm7EjzgST+JKfIkz8SbuxJ88kI95deMkP+SJ fJE38kceySd5rfqL1lh51fXkiWrvyqzvoGXwevauVOcdIg61Mhv3b9SeVOcs Y2AR4gyP4HqwcPJH+04TYdhxAHTbfwhdo4Ho0H48DDpMhmGnQbK+uakl9+2P hJVXEGziOqJDthesEs1g7dYcrkktsXqrM26f85cx+6nDPrh51hfTljuiY2eR O1g3lHMdTvat4OStD4cgLdh4a8IzoT1ObfHD1S2uuLTFE/f2pGHvV84YPMUA e7cUYd/2b1C0oDN+Xmcv84hLm11xebMPrl2IxtujLWBu2gpuNkKuTVO4hGoj tdRL3vmez/k527E9+7E/5VAe5VL+3i0zMITjiXHv7U6VelAf6kX9qCf1pd7U n3a4WmsKu/SkfbST9tJu2k8ciAdxsRT4tBc4ES/iRvyII/EkrsSXOBNv4k78 yQP5cCcvgh/J07+Sq6jzFYtBIjf6RPrJ68pX6L/0Y/pzTf/+T1wvrgP7BdXz BfKsYfXvjCo8wgPcunMB+87uwVcHNmHlt19g0eI5mDmvCJ+XTcCY2WMxTtzT h/VE1vAemDZvEqbPnYB5C2dh5crFWLV5LdYe2oKfz+3GtRun8aDqPnadZD2P u9VjKHHvM1y/dRHf7f8OP/68BdfuKGdVTSmfjLTEJPTskQdrfzfoixhcP6QL rEO8EBrbDb4hfrANdIONiwPi30rHwYuHFSwf3sCTp3fw4MF1Odbe03vx4bgB Ig+IRG5GulxbZevjhPT0FFlXMUfmK8xRMpFemC/3suRnZVTnK8nJiZixYCbO XjyG45eOYZdc9/RIRuEbj/6E2nad5F1B9ZH8nO3Ynv3YvzpfEXLlXplCZU6H 43J86kF9qBf1o57Ul3pTf9pBe2gX7eNFe+PfTJf2EwfiQVyIj36Ip8DLQeJG /Igj8eRFfInzeoH3dbmf6JmKB8UHORZ5Il/kjfyRR/JJXskveSbf5J38j1P5 A/2C/kE/ob/Qb+g/9CP6k3oM6Wc8W1k1H0U//PusC3t+hsb+/ccwSicN0/W4 /z4BRTr5mKGbj6mvOC+MryLx/BOdPCyNDEZVxzrY42mKuR1DsVhHxMeGImZv 54OKDuFY3SUaRzzMcLNTXVwxqIPLunVx0rclJpplYKp2L4wx7ofhIk7p130M fu5jj83hTljinI4fbP3wdXIYKpK7Yva4BIx274XE8JnwDFyFhOhJ6B/SD/29 3kWZXyRW6XliqY4vluiLvEM/UNlnrq5DouuDuZ1CMcs6Ts6BVM89MI7XDVTq rhhEiM+e70d5OV/hc37Odmwv+xk8n0OiXMrnOBxvkX7NOY5AqRdr0FNP6ku9 qT/toD20i/bRzoqkrtJu2k8cNoc74kAfO4nPcIuhEi/iNtEsU+JIPIkr8SXO xJu4E3/Jg+CDvJAf8kS+yFvR7/BKvsk7+acf0B/oF/SPmv7yf9fvXc/wTJ79 /xibCoegXCMUc2onYZlZBG6athTxcjPMtc3AJI18rLEKxb2OzfCrjTVWWwWj XMT4i0xC8LOJLR400cT1hi1wrXEL3GnWBOuMRC5rmYLJEfGYZifi8vopcn9F maaSI7D2yfTG2RgaMRiLmsdhpm4WPrL8EOk2IjdpOwvRtYuVvKWWyAMaTZV1 D/tYfoby1kkopawGiZjdOAMb4rpgZz8blOkocyyy9mOrOAwxHIDumvMx0L2/ yEXCUSJr3Ke8mK8wVxHP+TnbsT37sb/ct8K5FSF3l5DPcTgex5XjCz2oD/Wi fnJuSOhLvak/7aA9tIv20U7aO0c9nyNwkHgIWcSHOBEv4kb8iCPxJK7ElzgT b+JO/MkD+SAv5Ic8kS/yRv7II/mUez/lz8Bf/+fgmeo/j589RWjORHQUsail 7R/fu1IzX7E2HSPj0n8pX7FhPQ1xNxsE3Y6j0CFAxE7uOQiP+Bxv9p2NQf1n YsSAyRjafzLefbccyb0Xwiv1M9h3GYxO1mOhb9sdlq4aIkZpA4skG1jlOcEq xAA23VuhfLUtbp73w1kRv58Wr3OnvZHQT8TqNlpyvkPWQrFqBGdXbdj56MI9 pg0O7QnG1Z88RC7hjis/JeLBLl98tcoCkxe44NdflmPl+j5YscwEd7d74eJm N5zb5ImbZ8LxSYkZOrkJGXZNZL33zmEm8PjMRd75ns/5OduxPfuxP+VQ3srv e0v5HIfjcVyOTz2oD/WiftST+kq9masIO2gP7aJ9tJP20u7y1TYSB+JhlecI S4EPcSJexI34EUfimdy7UuA7R+JMvIk78ScP5IO86Ah+yJPk61/kWOYrwj9e Z75C/6Uf058fP1O+N/pP/qRy/c3mg9tEnsT9FsqcSJX4nXH+xgl8tXM9Zi+Y gffGD0HPPoXIyc9AcnYqEpMTkJwQj5TEdKQlJSNdvDLEKyc1FSbOtggOC0Z2 ShqS4uORlBCHxLQkpOakIacgQ8TMOXh3+EAkDi3EiKLh+GLzd9h7bi9u3DmP Had348cjG3HznnIu2LOqx7h27yr6DHlPxu1cE8WXc4AH3APdYRceBH1fV3RN ipKxfVJqPFx93OGQ4I+Z3y/E0cuHcOPWJRED3FfVZL+HGw8uYsmPS1HwQW9k p6fDO9gPwazFUlCA7Nz85+dviXwi4e2eyBD65sszj7ORlpWGsWtKcO7Gaanf /mO7cFjmecCvZ/aiWWcLeefF5/ycF9uzH/tTDuVRLuWr8yG+OH6vHgVSH2+R c1A/6kl9qTf1px20h3bRPtpJe2k37ScOxEPP103gEwg3gRPxUmNHHIkncSW+ vIg3cSf+5IF8kBfyQ57IF3kjf+SRfJJX8kueyTd5J/8ZKn+gX9A/6CfSX4Tf 0H/oR/SnYuFX9C/6WVX1XMwT6Yf0x7/LujBeVbJu0BPs+XwAPm3RDdP102V9 QDnHop/16nVhBkmYoR2Pz6wysD3EFU+MGmJ3VyMsaB+ASq0gVDokYJu3G65a N8V1PdYR4Tm8DXFFvy7OWTZCUVQCpmolY4Z+D0zV64n5cakoeacQp/y18aiV Bu6K+Pu6Y0vcsGmN1VnROOxihvXm7phhmoD5toFYYd0FX+i4Y2lbbyWv4Dld ehEiNxCxur7Pi2diiXxipq3o1ykES/RU+1R4FkD7GPHvSPESfx943peu0vfF fMVHPufnbMf2sp+esl+H8iiX8jlOzbPSZF/qw7otBopc6ku9qT/toD20i/at zozCDevWuO7UUtr/UOBAPEreLpT4ECdZK4e4RcVLHIkncSW+xJl4E3fiTx7I B3khP9uDXfGZZYbk7bd7VpR1YNPVc2usDyn8gP5Av5Bnj1S9ak76/64XLtV3 GI/u3MQc81TMrxWJyoZRKNOIx0qLMFwyboUHbZui1F/k+rEx+MK8G0raini9 djwW1InGnDqRmN0mDptdXHC9bSvcrNsU95tq4qcmnVGkwbmIJEx2SsNngbki l0xDea0kzKnPffwir6gXh0FdP8Lk1vmoqBUv35cL2Z9Yv4kC69GI1J+FqPol SNCYjcTakxCrPwezdXjmV6Kc4yiunYo57VOxfqQnFidEoaSWeF9P5AC6iXjT e5is0xjbuBQjXN/D/JZhIjdJE3mCkq/wzvd8zs/Zju3Zj/0ph/IWCbmUz3E4 Hsfl+NQjVq9c6kX9qCf1pd7Un3bQHtpF+2gn39Nu2k8cpukJfw3IlfgQJ+JF 3IgfcSSexJX4EmfiTdyJP3kgH6UBeZIf8kS+yBv5I4/kk7zW5PmvfKlNuHH3 Hhw8RsLU4vXsXXkxXxkN838hX5H5kmiv3+kjWPkMQ+E7kzBx2Txs/rYEp1Yv xcW1C3F961pcP7AOV35ehYt7l+D0nrU4unULfl6/DOXLF2JASQayB2nBJb6t rL9o4q0Fk2RLmCeZwzJEG8NnWeDCWV9cOOaDy8f9sH6nCxyideHioCXrHTpb a8q438WuBSy76GLB9z64dyAQlzb64+rGrri4xRX3d3hhSaUJFn+XiJ/PDsHc VXY4u8EFV7bynDCRcxwKwMy1jjALbA4Xb0ORSzSFra8OzD5wlndn8d5VPOfn M9c6yPbsx/6UQ3k/nx0k5XMcjsdxOT71oD7Ui/pRT+or9eaeGGEH7aFdtI92 XjjnK+2m/eZJZjBJsYSxlxYsPDUFTm0kXsSN+BFH4klciS9xJt7EnfiTB/JB XnoKfsgT+SJv/3S+S3+Q+cro15qv0H/px/Rn+nVNP/9zf5aUQX46tBv37l2X /7587zzWbP4Sw6aMRkHvfKRkiJgzIUHEpCnI4V4OngWco+z55j7u/LxCEQPn Knsr8rJRWJAnayBadbGXdRF75ufJ+QTWM2Q/9s8W8XmPrEwEhQXAwc0ZBQW5 CI4LgbGPLULeSkJp5Qx8s+tHHDy/X57Ju+PsLnSLjRSxb7xcQ1XIPeQ98uAS 4I7grr5IyEiCga8LDMX7+LRkfNC3jzw7KzpL/H79ahYOnfsF2w7vwJ7ju3Ds 0mE8engLzMgu3jmN2atKEJebBBMXa6GjsCefe+AzVeu1MpGVn40E1Xqt/Oxs ZBSkY9KaYtx7cFXZz4FH2HRoOy7fvoSbIn9o5+Es73zP51Wyfswj2Z792J9y KI9yKT9ffe6XGJfjUw/qQ72oH/WUc1xCb+pPO2gP7aJ9tJP20u749GQY+rsL PFwFLskSHxeRoxMv4kb8iGO3mEiJK/ElzsSbuBN/Y28byUdBQY7khzyRL/JW zX9ujuSV/JJn8k3eyT/9QMmNFP+gn9Bf1PzTj+hP9Cv6F/2M/ka/o//xoj/S L2v66V/74v57zifdx9aidzGhZaiIVVNRZJCKmTq95B6GV+UsXE80WcTOs4Ny cNaqDe7pa2BrvB1W+UTgvJM+bravjcv6dZ7XhRT3iwYNcNtSA+u9nDFeS8TO BgmYbPQG9oU74oK7Fta+FYA9fe1xwaYZLrethestauNIggEuFxhgp6s9FrVN wPJ2YVii0x0LOZdi6Keqg8j5lSCRW8T8Zh8N12st6BCM6TYJ4nMf1V50XyzW 6opl+mHKXnqRXyzQjRf/7ib7MF9R8p1u8vkSA2XPPduzH/vLs5uFvCIhl/Jf WG+mylmoD/VS2vtIfak39acdtId20T7aSXsvt60t7d8rcCAeF9zbYV93R4kT 8SJu6706SxyJp7qWpMRZ4E3ciT95IB/khfyQJ/L16nVgiZJn8k3eyT/9gP5A v1D84+/g63/u9eypktNd+keZiK1FTNEgDgvqRmFBrSjMEvH5Yq9IHHCxwMz4 AgwLGIxFGt0wj7UNGRPXjxExeAwq63TDrKbCbyzDccW4HR60aICvnIIxq046 yhuK/EQjBbNbCX68MvCZRxZmtUyTcwvlGuJnybUnZjnmyTkBnnHFtVLz6sSj olkiJhn3wHtOQxHfaSoimhQhqlEphlt/iArG7I1FbiJi/FINkUeEpGLisDzh J3nCBp4VmIYoF64rE3lOrZmI1JyHEQ7vY0HTCLn3ZGbzKHnnez7n52zH9uzH /pRDeZ8LuZTPcTgex+X41IP6UC/qRz2pL/Wm/nLNl7CHdtE+2kl7aTftJw4T PDMlLsSHOBEv4kb8iCPxJK7ElzhLvAXuxJ88kA/yQn7IE/kib5K/BnGST/Ja k+e/8qU+73X++h3QM/kAVq9t74o6XxkGG9NR/1y+wjkV8eog4l4zt6F4e9gU bF6/AOd3fYOLx8fg8gFHnFg7GSeXrsDJZeU4unoljv/wLY5sWY2jmypxesuX OLflJ5zctxTXrobg4hkf7D/giZIvHdBzpCHc4lrDuKs+jKOM0SHMEFnDLXHw oA+unvbBtTN+mLzIAuY+2vBwbidrHjrbNIKbbUNYd2yIlD6muHImDpc3ROHK T0G4JNeGuePaTx4oW2yKfYcTsXFbMDb/wxa3eB7xBmeRf4Rj7TZ32AdxX0lr 2LvrwdldGxbZbvLO9/K5+HzdNg/Znv3Yf5OQs3FbCPYdSZLyr3NuR4zHcTn+ 5Q2RUh/qRf2oJ/Wl3h6d20k7pgh7aBfto520l3bTfpOuegKPNhKX4i/tJU7E i7gRv3Obf5J4ElfiS5yJN3En/uSBfJAX8kOeyBd5I3/k8Z/hm35hYzLqteYr fNGP6c/065p+/mddjAFZM/n8lUs4ffU4Tt88g5lLS1D4Xm8kpyQp509lKXMK rP3BGFR9ttYL9dVzlPVTL58VHBrTHbY+LiKezVXtzVD1yX1+Hm++6Gfv7wp7 P0eYuFoiPjEKhVnZMo5NTBcxeH4Weg9+H8XrFqF0WRl6DPkAiVkJSEiJR1Zy iqyp6CFyFO8QL7zRqxABseFo6+UE02AfZIgx3ygoQEp6ApZuWIq7Vbdw6MJB WWv9p2M7hJ/uxvnrpwXOt3H02hFkj+6DcBH3Z6SmITcjQ9mTz7ib++Hf6InU 3gXi31lIyxex46YKubdc1oXnGQGPbmPbwZ9kzcWOPdPkne/5XNm7ruxFZz/2 pxzKo1y5n18V33Ncjh8h9KA+1Iv6UU/qK/UW+tMO2kO7aB/tpL2mIb7C/s4I ENgTD+8Qb4kPccpKSpG4ET/iSDyJa+/B70mciTdxJ/7kgXyQF/JDnqrPg86t WccmU/Jr6+Mq+A7/zZnL9AvFP16q2cn5pTzFr+hf9DP6G/2O/kc/pD/SL+mf 9NO/T87C+xN8UzQYn7XsJmLjFEw1yMZUXcawv7fXIRHj2mVgY1QAzrkbYZl3 HH6IdMCtDiKW1m/wQl12vi4aNcBdPQ0scQ/EWJMCzNCLw/R2SfjMoR9O+HXC gzYaOOmrjZN9zHEpSg9XDIUM23o42EcLi739sZB1KjtwXVY4lonYnfelXKel J3KD9swPokRu0fWl/fDK3vtiy2iUmYTLeZDFhkKO0J31VKr3qIg8YplOLJbq h6BMJ07e+V69xkzmL6zXYpAo+1MO5VGustf9+XlccnyhxxLO27T3l/pJPWvq LeygPbSL9tHOK6ytEq2Hk30tJA7Eg7gQH+JEvIgb8SOOxLMmvjInFLgTf/JA PsgL+SFPv7dnhfySZ/JN3sk//UA5013xj/+7/vdL2dtQhW1TF6FYIwjzRaxd 3CQZ842iscXJHecNDXDBXAtDfPvBo9XX+MT8PSyrE4qKBrGY3yBaxNDixZxF xMhz6nXHvI5h2BTig7IO6SIOT0RpI2XtE+crOKcwXTcdY1x7YLxlDkobJKNC KwVF3vmyrVwrxj0mmsr6sbm1RV6tGY+ZeukYbPMOEqyn4k3bkVjWvDvKaol2 DVLl/o/SJino130ghli+j/kacZjSMhVdW8+rPic5SWMGujVaiGE272FBo3AU NYmTd77nc36uPneY/difcoZYvI9+4QNR2lTZZyLHE+NyfOqRYD1F6kX9qCf1 pd6l6vqUtFvYRftoJ+2l3WPcekgc1HNNbFcqa6ckStyIH3EknsR1vsxVoiXe xJ34kweP1l8LXj6Q/JAn8kXeJH/kUfBJXsnv32EPS5Vct1iFfiMroWMg8hX7 /z/5ioXtYFmnUM9kIMIzx+HLL+fj0t6VOLN1GQ5uXoGDRwfi2pbOOLfbDce+ /xxnlq/E6VUVOLWyEqe++xrHt6zFyW1rxWe78fPhD3D6iCvOHPYT8bQvbp3x x9Xz/thz0APTF1sh6YOOsE4wgo5fW3jmdsCq7/1x50yQaBOAHp8bwNizHbq4 MGepB2fbRnJtlaVJLYyb7IX7Z97ExU0ib9jsJvOH61s9cPIHFyxbZYfjv6Zg 1VpHXOb+lU0in/m5O37e7wP3sBYiBmkKB/9WcAqygmVsZzjJ87VayefuYS1F O1/Znv3Yn3Ioj3Ipn+PIfEWMy/Gpx7hJ3kIvDWUNm20jqS/1pv6049qFAGkX 7fPM6QBtYS/tTvqgk8SBeBAX4kOciBdx+/nIBzj6/R6B5zqJK/ElzsSbuBN/ 8kA+yAv5IU/ki7yRP/JIPsnr/5yvDBT5yojXn68IP6Y/06/p33/mGuZnqvW/ vL7cvw6lq+cgr3ceUpISq2N1WYswN+u3seb/kq8o9RUzZT1E98Ausn4I67jn qOJY3vk9f6+CXPiEB0LTsA28u/qiF7//z89Dbq5Sy1HOx2RniRg2Hpt/3Sp1 fSBi/n3n96Hiy3kYOnUECt/shaycdDh7OMFexOlv9VS+y3foHoTm3k5wiw5D eloy4pNiMapiAp5C2RfPPOLqrfP45dQBbD20TZ6ju+nEHlT+tEbkzFOR+2Y+ 0lJFvkQs5HnG2Yh7t6+Ms1MykvC1PEP4qTwbiy/uU7/34Dq+2fM9LEb1lHe+ 5/PqNqL917u+kv3zVPIol/I5DsfjuBy/cusaqQ/1on7Uk/rK/EdKui/tiU+K k/a5RYWhucjTaDftJw7Eg7gQH+JEvIgb8SOOvIgr8SXOEu/8HIk/eSAf5IX8 kCfyRd5q8kheyS95VupfZr7kH7+Tr/wmf1FqX6pzNvoh/ZF+Sf+UPit/7/8d 4jmexar8DVszfZiIWcOUORb9fEzTEy+D53seWK9jim4iZutGY4pZT/SJn4bi 4DQsae6DBUYB2NmtI24aM2dhTfYa+UpHEUtra+C7VDuMt81AUbtEWedjqnYS KgLSccXZENdbaeAK85xgbVyPE+/dWuFCTDvMNQvDYp5DJudDlHxkqX6oXK+1 RI/7UyJEPhGPxToRWGKorMdS5xnqvSZF9klKXqHLvS1RsuZ79f58zp8YhGCR yFHK2sXJO98vrj7r2Fe2Zz/2X6yS9+J5XL6KfhxfR9GHelE/6kl95ToyA6Ud 7aFdtI920t7Lwe1wheu7iIPAg7gQH+JEvIgb8SOOxPN5rlJP4k3ciT95IB/k hfyQJ8mX4O2Feiuy3k6+5Jl8k3fy/0yeG//3WKv/n7h4bpQsGYl7+NIvGbMb J2KFbTR2WNvjskFr3GuiiVv1muBu68ZYkRKJTO1pCGi3EmMt3sGyWiJnaajK WeqpXnVFrqwZjFzvcXjLcRTmtFZyjtKGqr0jjVR7WESMPsk8G+Pc8zCxfQ4q rHiub7KM5188e1jZn19eJwkL6sWjtF0Mpvvk4T3HgZhunIZ5TWNQUScRc8Tn kxoV4C2XwZio3wPlholIaTIdCbW4jkzkIXVmyvrzXZsvwWDLD7C4sa+88z2f 83O2Y3v2Y3/Kect5sJRL+RyH43FcOb7Qg/pQL+on97vUOIdM6i/ruoiczDpL 2kl7aTftJw4yl2uo9CNOxIu45Qj8iCPxrMaWuYrAm7gTf/JAPsgL+SFP5Iu8 kT/ySD7JK/klz3/lc8LUP9FPxM+4Z+xYub/a4rXtXamZr4z8H/MVrh8yNR+E jjaD0P/j6Ti+aznOb1+BQxuX4vBGka9sXY4TR6JwkWulNjnjzB4PHF3PnGUJ zqxehnPLv8HZL7fhjIixfz20CCdPeuHcEaXOyhnV2b1nDvvg4jFf3Dznj3Nn fLBWxP0fTnKAbbI+2oXrYkBxIK4ei8ONC/FI7m8MYzcdeLjqwcmiAVxsWsDD ygA2Vu1RsdwHdy9E4dy2QJFbuMgc4uY2T+z61hZrdkbjm/29sO97N9z4SXy2 zQdHjwbAI6cdbDybwSGQNV20YernI+98z+ceOVo4eiRAtmc/9v9mf08hL0rK pXyOw/E47t0L0Zgr9KA+HpYGUj/qSX2pN/WnHbSHdtE+2tlvooO0m/YTB+JB XCQ+qro0xO3kKU+B42KJJ3ElvsSZeEvcBf7kgXyQF/JDnsgXeSN/5JF8klfL 38tZ/sR8hX5Mf6ZfP1HtQ/4z/oLJM1aVX/gYv7IY6W/lIiMlGbnqmoqvmEP5 V/OVmvXXLUTcHJcYI2u187v3PoU9kJAUjU6uFnDyd4Wznwdik2NkLMxzfPPl d+85ci0Sz8sqfP9tXLt/FU+fPlLVVFH+tt+ruokz14/g653fYeq8qQhK7YaO XeykLW/k5SEtMx2mIt5u4+4An6gIZKRnYsTEUTh965wKCMbsxOERbt29gUMX TuKHHT9i76k9+HLv1xhZMQ5Z74q8JT0FPdLSkdm3JzL69kZY7xRsO767hgz+ Pn2Ix08eYsuR7fD4KE3e+V7WRZE1dZT8YNvxPbI/5VAe5VI+x+F4HJfjUw/q Q72on9RTJYP60w7a4xMVjjYejnJeJS0zQ9pN+4kD8SAuxIc4ES81dsSReBJX 4kuciTdxJ/7kgXyQF/JDnjq5WUjeyB95JJ/klfzm16jF+W/lKy/Nvci8Rfgj baF/TlhVrMD9N6l1rHCgnGvw/YwPMb5lKIraZ2KqPs+LyhSxbSKm6CeLuDkO s02SMchjNFIdShDSdgmGhX6EVe3dsUg7APONQrAvyAi3OnHNksg9jOrL7/4v dWSt7lrYmWqIyXYpcs5A1hkxTMBnutmoDE3AdYs2uNq2Dm400cBl88a4G9wW 198xxWKnSCzR8qneT18zP1hsEKCsBzOMwsLWEco6LJkfhFWfFbZUxxNzTCNQ bB6BFXrdRS7RXZWLUI63UuOe536xFqSIbxbrRsu980tkrUl1DUYf2Y/9i83D pTzKVZ8JxvFk/iTGX0Q9hD7KerCAF/KnRarzyKQ9wq7r75hIO2kv7ab9xKGy q4IL8ZF1aQRexI34EUfiKeewjOpLnIk3cSf+5IF8DAv7SPJDnsgXeSN/5JF8 klfJr+CZfJN3uVfw/3KVf+JS/mYpeZ3y/sbdW1gleDtsboJbOi1xT1MTNxs2 w/UmLXCzcVNcMtDGTK1MlItYPVuvCAH6yzHOqo+svV7RUMTs9aMxr77IVcT7 j63eRVTjMkQ0mIF082mY3SlbnmFVwriccyb1E1FeK0HOX5Q0ScWn9gX4xLs3 ZupkiOci96j/Yj16df35kgZpmCPi9xmtUhBlPh8J7YvRy34kPjXPw9y2cZhf Ow4jQt/Ep3l9MSG4FxKaz6rOV9Q5C/fDh2tVoKfHKHnne3Wuos5X2I/9KWdE 2JtSLuVzHI7HcTk+9aA+1OtV+tIO2kO7aB/tpL20m/YTB+JBXIgPcSJexC2y 8RyJI/EkrsSXOBNv4k78yQP5IC/khzxJvgRv5I88kk/ySn7VPxfy+52qv95a ySrV36r9J07B0mGIPMPL4rXlKup8ZaiIR38/X7GyG4JOxgNh6jUcJXNLcXnv chzfLGLfTUtwbMtiXNy2AqePl+D2L6G4LeL2K1v9cGmjB47vCcTx9UtwdsUO nF79Bc4uW4gjq5fg+M/xuHjYX5WreOHMEZ4D5oWTh/jyxolfvXH6V+5Z8cUV Ebfv2ReEMaVesH7HEYHDHfHj7njcPBqEpDftYenjAx/PLnA1awt3W204i5zA xqkVZi3rjFuXuuHy7lBc2OSGi1vccHurC779Lgxfb/8MX64dLPILZ1zf0kXk BhHo1k8Plu7MV5rBzq81OnqEyDvf8zk/Zzu2Zz/2pxzKo1zK5zgcj+POXOYk 9aA+1Iv6UU/qS72pP+2gPdbvOGFMiZe088oZX2k37ScOxIO4EB/iRLyIG/Ej jsSTuEp8Bc7Em7gTf/JAPsgL+SFP5Iu8kT/ySD7JK/m1elX90er1YCNff75i PVj6M/2a/l3T31/3zw+v92aOgVOACwpzcpVahP9invK/5SvqmJff35u521av KXMOdEd7ZzN0iwnD2716Izg2FJ6hfnijRw/kZGUgOz0VmckiTk3NRFxEAkYX farSWDkDl7U8Hj+6g2fyrF3ONyjn4N5/eh0laysRN7gQeW/3QGJKLJIT4hAQ GQ5Dfw+YhHghIiYG7wzpj12nf5USn7B2jNzfqnyH8/PJ/Th29hCu3LmEo+cP Y/WBbzF0zljEf5CF6ORoRPcoQMTAHJx9wHVkj3D15jkcOn8Iuw/vxPZjO7Hv 8B68WTFC3vmez/k527E9+4WL/tEFBVIe5VI+x+F4HJfjUw/leir1e6Jax0u9 qT/toD2GAR7SPtpJe2k37ScOxEM5T/i+xIl4ETfi9/xsakh8iTPxJu7EnzyQ D/JCfsgT+SJv5E+9lou8kl91rvla8pWaa8bEi/7pKPyU/voqP/7rXs9U8ddD 7Jz8LsY07YoZ7dIx3aAvpuklY7Z+HD7v/BZy3WYjumM54tpMRErbciS4zsFC W67J4rlUvig3CsM+X2Pc6sj99g2U7/9FXH1TqxY2Z5pgsn0KZrSOx1Qhc4o2 686lYoxNHnZEOuJUuAm25JriUkZTnOmhjTVhQZjtXYgy92wsNOqKJaxxIvOH gOoakEo9SG9lPkO3G5YadlfWXeknYIk266aI5zp+mGGbgEqDKCxvH6nUYdEX 8vRFLqQdqawRa9dVxFQx8s73fM7P2Y7tlxtGyv5FQg7lSbmUr69a5yXGlePr Rkh9qJe6tiT1leeWCf0XdghFmUc2ZvsUYk1okLST9tJu2k8ciAdxIT7EiXgR N+JHHC8aKfNXxJc4E2/iTvzJA/kgL+SHPJEv8kb+yCP5JK/kd0yTrpJvpSbe /+Uq/+Ml60K+uC76xq8/YUthf6yIisZNw1a4V1sTNxo0x7UmLXGjaXNcb9YS d+s2wm43W8zWSpf7L+Z2SEO6bjFCjBdiomUulmh0x9xGcVioEYmKjolIMp6B +NolSK1bhDiNaYgxmYahHQagsk4cKhrHY1KLAkx3EjmKX28U++RhgVkmZmmn Y5xNAcaZFWB2ozTMrZVYXduxZh5QUi8V89p0wzsdRyFSYy5iNeYgqlUp8uw/ wzDLd1AcmIwVfaMwcVgOIluWIEWjCIk8t6v2jOd5S60ZiGheJO/Vz/i5aMf2 7Mf+lEN5lEv5HIfjcdx3jEZJPajPy7Uoeaf+tIP20K5ZOunSTtpLu2k/cSAe xIX4ECfiRdyIH3EknsSV+BLniZZ5CDZeJPEnD+SDvOwWfzvIE/kib5I/wSP5 JK/klzyT7xdcgv7wF/n9rz7nddayjdAyehfWtq9zLViNfMV4uPwe/eV8xcp2 CDp0HACX0BFY/XUFruz9Aoe3rMaRLStwdttXOLVjLSoWr8PYZUNQtNocX/7o h4O/hOHyuRjcP5mNoyd6YdfuZTi6/msc+X4VTv5ciBtcV3UwEeeOJ+KCiNsv nQjErbPBuHs5GDcv+uHqeR/x8sXVc764cc4PDy/6A1dCRayejE9XBML7EysM WeWOQ0f8kPmePsw9dNDFTQedLevBxVZT5AiNYCWeDSw2xoXzIbj8a6TIJUT8 vtkVF0S+seq7kVj1QzG2b8nH2T1BOC/ykL6j2sHMpQkcg1hzvg3sArrLO9/z OT9nO7ZnP/anHMqTcoV8OY4Yj+NaeWhLPagP9aJ+ZkKnLKEv9ab+XsKOcSuC pF24EibtpL20W9ovcCAexIX4ECfiRdyIH3EknsT16PpvBM7LJd7EnfiTB/JB XshPxaJ1kq9zgjfyRx7JJ3klv+TZ6uW5O/X8ivCP152v8EV/pl/Tv2v6++u4 1N9L33t8C0MnjIKBo4Wy//rfzFP+mfmV7Kx0+X18t7hwmLrYCM5t0TnATca7 3KfN7+VTUhLh6OYoa4JwH0XfIR9g4MxPMaF8Mj4RMWrJt+XYdWYvLl87gQdV z88vkzmGiLvv3b+Gu3dV53+J6+j1E6jYuhKrNq3CyGkfI43nWaVnoUtYCLR9 O8My2Bup+Wn4dusaKHXdWT/ljtwTz/N89x7fA+WANmU+597jG9gnxp/81SzE DipEzLDeOHB4B7Yc34H9Ii85fvkY7ty5InpwzuIeitYvl3e+53N+znZsf+Dw dsSK/rEip5gi5FEu5ct5Izl/8kyOTz2oD/WiftST+lJvyyBvaPt0lvbQrrQe GdJO2ku7aT8v4kFciI+Sn6jn1Z9IHIkncSW+xJl4E3fiTx7IB3khP+RJ4Stb 8kceySd5Jb/k+bXNr7w8R8ecRfgp/ZV+S/+t6c9/6etZFZRlmfewe8kifOzW A0XNRX5hUoAPPMci1mYhYtqK+EXrc1mzPan1FER3WIBPQntgResuWMS9JCJm LjGNwu4uIrZur4HzBg1xSb8+7rXTwHIP8bvV+A1MMM1EUYdETPNPxjdxHliQ 0h3TRiTihze8cMlHBzsDLFBuHYqFbXzlWcEVlrGY5ZaPOdYpIocIwFI97+qa 7ur5liVcc6UXLXOFJep5DwOuJePelVgsMErALKNULGsdgqXtk7G4XZjIMbjG K1CZYxF5RZlOorzLuRXxXH7OdqL9ctGP/ecb8UywGClXypfrvJScSc7RyLVf 6vVoqvOVhb7Um/rPcivAPMsYkbv4SPtoJ+2l3bSfOBAP4kJ8iBPxIm7EjzgS T+JKfIkz8SbuxJ88kA/yQn7IE/kib+SPPJLPomYpGOtegD2LF0m+leNa/7N1 tv4yF/dW1ti78OzZHZzZuwff5A3E3BbdMVUjFj/qeOB+c01c1WyFG42aK68m Iu5t1BIPWzXEd6a+mNowB+WaSSivk4By3VQkG8xBuGU5pluly1h6YZtIZJnM RLRGGRJZI1HE9TFN5iBZxOBRXiUYnvw+Pogeg37Bw8XP5nsoNsqQ8w1ltZMw py7lJmJKmyyMtuyJiR2yUdogCXPrJr6wxqq0YSoq6kRgmP07iGtSJmQXiddM EeeXIqLpXCRYzMCMYekY/fmbyOpehG5mixDTuAzRdeZInZRajjOR3OBTeZfv eQax+Jzt2D6rW5HsTzmUR7mUz3E4XlzTMjk+9aA+NdeuSX2F3hPbZ2O0RU9M aZst7aJ9tJP20m7aTxz6CTxGJL8n8SFOxIu4SZ0EjsSTuBJf4ky8iTvxlzwI PsjLdya+kifyRd7UHJJP8kp+yTP5Ju/kn36gvpT6O/+9fwOoWdVTudoTbw+p hJ5hv1d/B/5HXyJmtDUeCosX5lcGidh1EAw6DULXxM+wc8MXuLD9Oxxftxqn 1q/Dya9W4dhqkUNGjEUH40+h3dURZgENYR/cHF3SW6LPGCssXdcVF0674MzF GOzfuRj7D47CmTNuOHtcxNzHAkVszlwhFNt2R6N0dSAmTLLB4NE2GDDWEe+P NsGAT8wwZqIlPp5vhaJvbLBthyuunErBubMRmLreE/1We2PFDh9kDjSAqWdr dHbVlfvZXazqw9lZG528WiNtsD5+OeyDuyejcG6zD65vccSBLTFY8fV8bNuY hl+/G4JLuzai/7QEGLo3gHNAc9j5t4KViI9453s+7z8tUbZj+20b0mR/yqE8 yqV8jsPxOC7Hpx6dhT7Ui/pRz+XbffCh0Hua0P/cuQhpD+2ifbST9tJuab/A gXgQF+JDnIjXzXMKfsSReBJX4kuciTdxJ/7kgXyQF/JDnsgXeSN/5JF8ktcd gt8QwTP5Ju/VeYnwB/qFnfAP89eeKytzd/Trt4dWSj+vevp6VuzL2E78/+aD axg2biA6OJgjid+L5+e9tD/69eQrsk58dhb69ChAWkYKHH2d0NRYC126+uLt Pr3l/mq5ZyErC0mpifAuiELldytw4uoR3H/6AI9V67QYp384fTTS0hPRq1c+ 3hjRH5PmTMCqDWtw/OpREYEra6RYN/H6zQu4euOcsPMBLol/7zmxX66BOnzp IBauXYqBY0ciJSsVpgEeaOVmj87d/DF10Uw8qrojx2E9xGciN9gucpG796/L f8s4/5mSL/Dac2w7vtzxPa7evFTj7Oeniq6i3YOHt1G56Qd5V/qp14spZ/Re vXlR9t9zfLuKmarnteTFeByX4/PfSn3GKqkf9aS+1NvU313aQXtoF+2jnbSX dtN+4kA8iAukBo8kXsSN+BFH4klcia96XRxxJ/7kgXyQF/JDnsgXeSN/XUJ9 JZ/klfySZ/L92zmWP56vKGvP8qS/0m/pv/Rj/G3qfz8TXCux2fkLmzAxtTfi HFYjpt18JLYdj0SdSUjQnixfyTqTEaGzBu936YcvTD0wXz8IC/UCsKytF8rM IvCLvQEeG2ngrH1jXHRogk25tvjKoQvWxTriSK4+1kR6YlFSKGZYxGNCm0ws CvHHzm5WKDdIx2KdQFlLROYPuj5KvG+ZjJn2+SjvFItlej6yRuKiGvXcl6rP 5arOF1T7StoHYGXbbig2z8W8TuGyLopy9pd3dbsXzzNW12Txlu3Ynv1KRH/K obwX98ko55QtrXFOmVxTxvOThZ7lxnGYRb2F/rRDnldGu2StlEBpL+2m/cSB eBAX4kOciBdxI37EkXgSV+JLnIk3cSf+5IF8kBfyo+aKvJE/8kg+J6b0lvzy Uvj+O/ju673kmq8aKdyjpzfxa+V8rPZOR1kjERdpdEWlRjTmtUnAns62uFun kVxPVJ2vNG6Om5rNcKVdayxwjUNprWR5lm+pPMNLxN+tUpHWsRhJtkUoMUrC O3YjENZuARLrFSPLair6mw/DW13GYmDEUPQ1G4dQpzJEWZSjwjRF1kwsrf18 7ZTcy66K98vqi3i/Q47MWya1EfF+XZ4trF4jliLPEp6hn4QY3XJ5ppfcJy9y j5RaRYjSKEeS8TS82284ohznYrDjYMwzT0K+zQTENWM9FyVfSdQcL+98z+f8 fJ5ZkmwfLfqxP+VQHuUmqXMbMR7H5fjyTOUGyj586kc9qe8Yy0K5V4V7VKrz LZWNMq+prdTKJA7Eg7gQH+JEvIgb8SOOxJO4El/iTLyJO/GXPJAPwcsClzhc 0Wot+SJvag7JJ3klv+SZfJN38k8/oD/QL577DKrXt/83Xeo/TXcf3odjyCiY mPEc4z8jXxki8xVLy8EwsxkECxFDWgv8DTqNQXzWNBz69h+4+OVSnFghYuLl FTi1tBxXvliAr4qmw1xnBEydRsA+qCWc/JrCzrcZbL2awdzFBOb+rdH9DT0s WGOCfZf74PSlaJw56Ibzx/xw5pQ3ipZao/vbOnAKawVzXy0YW7eBaYcmsDLS hLlxY5ha64p4uRU6eOjAKlBXYNAKXbLao8+QzphVaYdFG5xRtMkfC/YFI3+i Bay9W8PGWU/mLJ1tm8I5UB9mro3gldUGqza74M5ZkbNs98XRHcn4eXM4/vHD cJze0Bnn9pVgyKzVaO3jB6cgkXP5tYapt4W88z2f83O2Y/t//DBC9j+6I0nI 85NyKZ/jcDyOK8cXelgLfayEXtSvcn+w1Jd6U//eQzvDI9NQ2kX7aCftlXYL +4kD8egkcCE+xIl4zRC4ET+Jo8CTuBJf4ky8iTvxJw/kg7yQH/JkrjNc8kb+ yCP5JK/klzyTb/JO/ukH9Af6ha3MV16/79Gf6df0b/p5Tb//939uWCxWxETi B3vslDHo7OUK324B6NXj5bOc/s14UtYreZ6vvLCfvnsADJ2M4dc9UH5nb+3p iMTkWOUM3PR0ZBXmyHmBXUd34bHqe3N5sVZl1WNcunESPURczb0M1DU7LRXp iUlITktGdo8svPfJAMz7ZoGIxY9A2SfyAHfvXZU5wIUb57Fux7d49FA5p/n+ 09v46dh+zJg/C8m9MqHr6YDGdmbIHtgbp2+o1989xtHzh3Dk/GEpT6nzrqw3 O3hsNw7IuZenuPfgjhyjui67Kq95+OgOFmz6Tt6r8xB1G/H+3gOlRjzlUB7l VlXXdn8qxz164ZDUgxf1on7Uk/pSb+pPO2gPL9pHO2kvx5D2q+ZTiAvxIU7E i7gRP+JIPIkr8SXOxFupEapc5IO8kB/yRL7IG/kjj+STvJJf8vzyfvzqfKVG PZs/krPQX+m39F/6Mf2Zfv1Xzlnk31nVn9r7925h+/BPUe4cgze6jUCk8TLE txbxSbsJ8jv7eM6vGExCSv0ipITPwHzzQKxp6YZVFl0wzyIElc5d8UHhB6iI jMSC4DCMdi/Esdy2+CWyI1b5emOSQzo+75COCS0zUaQVhxnWyYgJK8HYbnn4 oo2/sle9Ovfwl+urluqIuNwwGMUWGSi2zEFlh3CRt3iratErdU+W6IXX2Cuv 5DHLdbphpW4EKo2CMN02Hot1XzqD+JX17Wu89Hxlv4WiP+VQ3vPzk1U1V8S4 su6KgZLHUC/qN9syV+pLvan/IgN1H9VZzMJO2ku7aT9xIB7EhfgQJ+JF3Igf cSSexJX4EucKgTdxJ/7kgXyQF/JDnuRcmOCN/JFH8kleyS95ltd/aZz1H7/k mq+nNfamAA8eiN89JYtR6ZSJYhGrlmtEorJOFCobxWJ+nWiUtU3GFT0t3GrY 9IVY94aIdW81aIpz1vooap2NMhFnl3PvSZ1E0S8Wlc1jUNYhFXHGc/DOR6Pw vu9YDPLqj2kuPfGe8wi87zQKKYKz+EazlbhfYwYSNKYh1nwqhln3x8LGsfLM 31LN1N+up6qdiGLxfJxRAT4x64EZLdIwl/MUbFM3FXO0otHX+mPEaJQhqe5M 1ZqumYjTLEGO+ySE68xFeFYJImqVY4z9O1ihH4y+tmMQWX8ukmsXIbHReHnn ez7n52wXKdqzX3edCuS4TZLyKFfKF+NwPI7L8aUe1FXoNVPoN1boSX2pN/V/ eT2btFPYS7tpP3GIF3ikaMyU+BAn4kXciB9xJJ7ElfgSZ+JN3Ik/eSAf5IX8 kCfydeOlnJO8kl/yTL7JO/mnH9Af6Bf0D/pJtRs9Vfzov2XO5anqZ/ubHTvR yfJDWFj/CbmKkGkm4lDrjgNgbTUcVnajYGMyBobao5BfOB1nvl6Gi6sX4cSq SpxYsxRHv1mDI99+jWNrv8Iva78Rf7eLoe8cC/tu3PvRDg5BPF9LV8TIIg4P aAortyboIO6hfQdg1Y+TcP26P44f6oLUj9rDqIvITdyVHMfRvxmcg7Xg4q8P F+c2cLPRhLtVPXHnOcDN4GrTFA6ddeDYuTXMnM3QsYstnLq1QtzbenhjiiU+ /9ELHy5wgnOsPmxFjuBiJXKWLtpwCmkNqy5Cj5AWGD/PFOcvxOHQj1/ixNZg bNpYgK0bsnF/nz3mbegNg1BP2AU2EXlKK5h5W8k73/P5vA29ZDu237Sxh+xP OZRHuVYhzeU4HM+pi7Ycn3pQnw/nO2HCBi+pJ/Wl3tSfdtAe2uUm7KOdtFex W1PiQDw6C1yID3EiXsSN+BFH4klciW8HFd7EnfiTB/JBXsiPnuDJN7wYB9d9 I/kjj+STvJJf8ky+yTv5px/QH+gX9A8zma/8CTmLkEn/pp/X9Pt/53qm6s9Z gKkL56BbeChsfJyVs4n/YAypvETMm5MH7tdW5z5cHxSfHANjNyvYeDsiIytV nnMr928nRsPSy0meg5vdtwe2HVPObj566Th+FXH6MxGDPq16gqdPlHmBtft+ REpmijy7Kl+9Dzs3CxniWXJqPJLjY2Udwh5vFmJixVTsPc16LXdF/1vid9dD nLl2HBv2fIcbty/j+Xoo4OLts1j94yqk9++Jxk4WMAhxx7INK+Rnjx/exeaD P4lYgrmGEvcfOrEX+46Rjydyfda9B7dxX86hPFBygxfylfUv5CvKZw9ke/ZT 1nc9kfIoV8mLHsjxOO7jR4rtyzashEGwm9SPelJf6l3jN6K0i/bRTtr7VOQY tJ84EA/iIus0CpyIF3GT56+p9tUTV+JLnKVEgTvxJw/kg7zwIk/ki7yRP/Ko 5KT5kl/yTL7JO/lX5xjSL6R//PG8WK4NE35L/6Uf05+fqPz7v+Mv1L9yib+t T9TrGh/j0ML5WOYt4psWPlja1gurjVwxqWshUn3nI0y3FEktPkdS80no1nIG wk2WI8JhJWZ0i8OHge9joOd7SAifgoQOUxBhOAuezgsxJrwHpiXEY6J7Cj4z zsF4nUxM00nCNO0kFOvFYIRHb6S7j0f3prNR4D8aS405LxGKFdoxL5zVJeck 9HxlbfkFRuGYZZ6D2cbpWGggcgE9T3kG8VLd2OozhrlOawX3yfNsL0N/mS+U WkShzCxSqfNY44yvV+Ur/FyeXyzal4h+7E85lEe5S9Q5i5yDUc5Aph7Up1jo Rf0qjcKlvsx5lPGen0lG+2jnUhNvaTftJw7Eg7gQH+JEvIgb8SOOxJO4Et+E DlMl3sSd+JMH8kFeyA95Il/kjfyRR/JJXskveSbf6v1jih/89Tz4D1+v2Jty 5cA2bOz7EeYbJcu4tEJD5LwNYrFAnkEco5w3pRGLfzgG4Xo7Zb+D+jt5riu6 1qAFHtevj83mbihrLmLdNnGY2SoLs6xy8K7ZCPQzGCFi7jL4my3Hkrei8I/Q cCR7liGucTFiG5UiUmOO3L+eVGsWkkWsn1CP8yCzEKcxG+GtivGB60cobZ0u 4v2EF3IWdZzPc35lLtBS5ALGIhcwyBe5APe4J8v6Iv1s+iO6cXn1WcSs2ZjS eCZmeOQh3XA6woNEzuJRhqgGc9DDeAIy7aYgulGZsldF5Cu88z2f83O2Y/vw 4LlIN5gu5VCerFWpOhOZ43Fcjk89qM+nQq+xJj2knjKnqv/bfTe0T9op7KXd tJ84EA/iQnyIE/EibsSPOBJP4kp8iTPxJu7EnzyQD/JCfsgT+SJv5K96rkzw Sn7JM/mer+KffkB/oF/QP+gn9Bf6zQuu9V+wx0Vdj2LinPVo2/49WNu9jvU4 Q1RrfZSXmfVH4j4Q1haTYGdTDLNOk2HR8WMMG16EUyIuOLt1PU7+9C1ObFmF o1tWyH0Px7atxqEt63Fp/VdYPGsO2nfxhK1tc7h6doSrexvYe1mL3MMVTv5t 4RjSBKbB/jAwGgFjh1EYN28E+kzpAAMRl7sGM5ZuDvsA8fLnq6n4t5L3OHrr w8mxDZytWBOyPpytG4ocoIGst+hm3wTuDqZwcTWGlVMbWHiKvKR7OyQMtUBa iSN8+prB2VPE6466sAtoA0cxhoNPC3TybITskcbYt3kDLm0fg7MbrfH11g9x ZVsQDuzxgnNUI9j5UI+WSr4i7nzP5wf2eMp2X2/tL/uxP+VQHuVSPsfheBzX 2ctQ6pFW7Cj1on7Uk/pSb+pPO2S9S1lDsqFip7CXdtN+mWcENFNw8VdwIl7E jfgRR+JJXIkvcSbexN1ZxH3kgXyQF/JDnsgXeSN/5JF8klfyS57JN3kn//QD +gP9gv5BP1H8ZVCN1x/PX+jX9G/6eU2//3euKtXk+ooNq5CUlghbEevxbF/1 WV2vJ1/JF68cEbvmyTVDcj+9ixm6x3YTsWuBUl9DjMXv3XuJ9/7dAkTu64zN PysxcpWI36/fuoADh1W1AaseyT3hXPlZsnA2UhMTZV3CrKw0pAgbUtISRNyd KscqUNUhzM3MQGpSIjLyMjB6xjhsP74DD6quy7onN+9cxuZ9P+DanUtQ5jPU 54IxSrgvcoQtSBv6Bup5WiJ6RF/ceHAZp0Wcfolry0SLX0/sqc5VZP4i127d x627N4Wsfy5fYTu2f1Z1XzXn8gDqnIXyOQ7H47gcn3rU87RC2pA3pH7PVOcw yzPppf6PpT20i/ax3j3t3S7yCtpPHIgHcZF1GlkDR+Z5qRI/4kg8iSvxJc7y DG3irjrrmHyQl6oqpcb85v0/St7IH3kkn+SV/JJn8k3eyT/Hoj/kynwl/7Xk K+ozyei/9GP6M/26pp//Fa5nNc4pv/brTnzTcyAqWrlhQTvG4ly7JO7afljT 1AlrbIMxOr4fgr3LERFTgpFevfCh2wDM8ktFgtlUdDcvQUSLWSKGmY4wPREf 24/HJ745GDH4XYwI64uZTbnXOwnTDRNFLJ6I4o7RIs7uh24ihohvMxlJbSci ynwGZvuLOF7LE0sNQ7BSOxpLDUJVNejV9evVa618Ud4hFrPM8jCnY5JoJ/IL He53DxN5hY8qV4mUa7oW16jN8tvziH9/fqX6PGT9GvMiBv5SLuVzHI7HcTk+ 9Zgp9KFe1K/mmrVFqlyF9ki7hH20c3ZAjLSb9hMH4kFciA9xkngJ3IgfcSSe xJX4EmfiTdyJP3kgH+SF/JAn8kXeyB95JJ+SV2EreSbf5J38v8ov/s4X55Rq 7k2penwNJ5bOw1cFI1HaqDtKNcIwn/Mp8tzhmOdn44rXwrqRmC3i7e+NPHFf UxPXG/Bsqaa4U7sxHjZuiBtaLXDVsC3mZaehT6ux+MB6BMIN5iOq1Vx0161E vHEZeul/hmnRObin3wRb3R0xwGw4ujZbilSNIqTUm4nEurNUe0aev5LEM54h 3L1xCdKtJqPYJEPWV1TXUvlN3qJaazW5TTY+NivERP0clNdORFGnFES2nCP3 ycuzvWrPlnIXt4zCUJMB6F5vLnwLFiJOU/gY97eI90lyD0vN9WAz5XN+Ht+o BL75CxEu3rM/5VAe5cp9+WIcjsdxOf7nerlCnx6Y0jpL6ldeN+k3eYq6Zgvt o520l3bLM5RfgQ3xIm7EjzgST+JKfIkz8SbuxJ88kA/yQn7IE/kib+SPPJJP 8kp+yTP5Ju81/YB+If1D+An9hX5D/6Ef0Z+qfevJ0/9/c5g8AlL8L65wEjoY DYDlH9m7YqXOTwbK84vNxcvKerSIFafA2nYk7Bznwcx0Gsx8hqGkYh4u7VuJ o5uW4MjmxSKeXSpfx7YswfGtq3Fqw7c49cVSnFo2T9ZRX/GFM/yCGsHSsI7c s+Fu2gzutm1lvRE7V32Y2HLuZjysLEZC3/oTpE4cAZfUFrBw1xQxfgsREzRT 5SstlDvXLwW0ELG5yEM89dHZvrWM412Ys9g1hottPbjb68PVWhcuzHvsRa7Q uR2sHLXgFNIenm9YwvltSziEm8PZzxD2vpqwD2yJziLeN3JvDpf4T7D+p5Go OuSOPZtisHNbJi7+EgS/t9rD2qOxGFs1vyLufM/nl8TnO7dmyvbsx/6UQ3mU S/kch+PJcd+yhGdfS6kP9aJ+1FPqK/Sm/rRD2iNzFU1pJ+2l3bRf4vACLs0k XsSN+BFH4klciS9xJt7E3cNWS/JAPsgL+VkpeJJ17wVvkj/B47GtX0he1RxL vgXv5J9+QH8wM50u/YN+Qn+h39B/6Ef0J5m3WP37+/Dp1/Rv+vlTucbp3/tx UZ+hdOTyKRT2LYRPkA+8Qn1lrPl6chWu/cpAfl4BehcWqs6PModrkIf8Hpzf vb9cj4PPc9LSEPl+Bi7eZx3zx3Je4cnjO9hyYieeMlbmvnPu3xCx/btjBoi4 mzXQE6tj7PycrN+eEaCae2Ht9vSkJGTkZmDEjLHYepRnizzCk4c3sXHfBly8 pdRO51m+T8WYSt6g4LT3zH4kjHgD9m/GYcK3c3Hq4hGcvXAYu49wr8kTqecL ucnDO7h7//bzvOT38hWu0RLt2L5mDiPlCbmUz3E4Hsfl+Akj3pT6qH/xUU/q K890FhftoD1PHt2U9tFO2ku7aT9xeNXZ1PKsaHGvzv0ErsSXOD+VuZSy7588 kA/y8kx1ltjFB+clb+Tv5fm5HFWNUD4n//QD+gP9gv5BP3kd/parynnpx/Rn +jX9u6a//9de/D5ZpSJrgO6pWIL5lvFYqOmCZXr+WN3WA18Ye4hnwVhgF4qP 4/PRz7Yf3o8cC2/PfyA1chLGxPfAMjsR75rnIkxHxD1NJyK5/UTk+47FJzH5 mBMSjpHhfRCqPRdZnT/FdPc0TBc5QdH/o+47wKuqtm6j1FASAoQ0AgkkkN5I JQUIgUB6QnolIXTFRhOxoYiKUkMPEBISivQiRXrooIJ4UVAE6aFXERHHm2Pt c0JAmvfe9//vHb/lPvvstdeac4xxyJxnryJlUqtM9A39AAk2U5DcaIKaX5Ha ZDyim8/EQL+hWGXuj/l8JtK0k9q/cRFzEOt2VfIM/Vz2YBV3z7FLw5TWuSiz SdGN/4rAUqs4LVexal+ZL3D+/hy7KBQ+st/j3/IV3X6TrMf6vE+fL6n25Drb V/1If6XS79TW3THHPk3Z8+iaAMpujllTuU035Rf9W2UegIH+Q5Xf9F/NDxI8 iAvxIU7Ei7gRP+JIPIkr8SXOxDut2XiFf4T5HJS27iG8hCp+MmInKr7IG/kj j+STvJJf8ky+yTv5pw7u6cZ2Kn38v67jf/P1t7kp967h+7IyLA/KkpgzDEUS d87j2B/GoTWr5Ck14zGvVhwWVJOYlXMojBJxwq057tWpgQvmjXHRwhSHApxQ 3iwIGzzbYbJHL0RZz0e4yUJE1pmHfKcJGNjiAxQ49MZs7qlolYjjrrYSG9fB rYb18Iu/HYa7jEDXOgufHJPr4vI0if+7ca685KgjXAZjQZ1EFFVP+9seJtrc Fs4FSVXXxjTNxyjLvphsmY5ezp8ghc8/anDe/AwkGs9GiWsqBhsMR4zBXHRx K0Nw+DIV/6dW060HViVf4XmafM7rrBfuWoZog1J1P9the2xXa78QPaU/9jvK qh/Gih20p1hn199zrXTlD/2if/ST/tLvx+VxVXM54kcciSdxJb7EmXgTd+JP HsgHeSE/5Il8kTfyRx7JJ3klv+SZfJN38k8daHt96rWh5S3UDfVDHVFP1BX1 9UB7/7NjL/Vf4Ru//QbPdh/B3oFzV/6dHGW4VtxGyP0fwsnlM7jYSdzZ4nM4 tRoLN8/P4ej0Jpq1noCuGUVYv74YFd8sx9HtjF+XSiy7RJenLMfxXZKnfLUG vy5fgJMrSnFy2TIc2fI+bh7wxZGtvnjlDSu4e9aDp7XE5Q614O9WC96exnA1 ewOu5u/As+lw2Fh+gJEjFmLjvvlom2MFB8b74Y3VMwR39RzBSCvMYTrUU88U vMIs4RNkDS+XhvBoURNuLarD174+fG0l9netpQrjcj8Xifmd68BTciXvTq3h nesBr6wgeHZtDc+QOirm9w6vA9tgL9gl+WLxFj/c+zECO3Zm4tzRJLwx0g72 vnWlPy1f4ZHn/JzXWY/1eR/vtw3yUu2xXbbPfrwyg1S/3mGtNTvEHtql7NPb KnbTfvpBf7xcG2r+iZ/qWRP97mBUiYWGS32FE/EibpsEP+JIPIkr8SXOxJu4 +zrUVDyQD/JCfhRPwhd50/bxXIATG9bi+M71krcsVzyTb/JO/qkD6oG6oD6o E+qFuqF+qCPqibqiviq19g9zF+qa+qbOqfeq+n/u7wu0eSvcx2XkpFGIiY38 r44DezCfvicyu2fDKaQN7AOckZKe+Mh4oIfv65XHdacyseabDfju5/3a2lVq Xay7OHj0G9xSa67/ocrhc98hNVfi6YxULS9Ssfaz7Wec3lvqJXaLU+tpTZhf gJNXj0k8+xt2/GsPTl89q0OJ/d7T9afbJ0Vem7/firCRvRE7sp/Y+ZUO0Lva no+P5Cw3xN57+s+fkK/wOus9ND6Mz1zUPpNa/kE82B/7Zf/ai/bo1x2+p7MX OHX1jPixW/nzq/g1fv4k5Sf97V11H/qnjavK09YKJq7ElzgTbz325IF8aOsI 3FU8kS/aSf56PSGX4JH8UwfUA3VBfbyk5ko9bj7+fzYujLqmvqlzta/QP/ua /A+8tD0u7/M3Zd352f07sTpQ8oE6bbDCPgClThJ7B0VgeNSreNN7ELLiP0dM y0IkOk5GV6tZiDeejqwGxUgymiox9jTEOsxGVt9pGBE8AOnBErNkrsZg7yF4 L3QA4v2nIdpC4ocm4xDfaIrE2mMx2SULk7wykOVXgGjLQvVMIVk3LzzVcgJi TKbhveDXsdIxCAssOurmeYRhvmWixPzMWdpr+8ireSvt1F6Oaj0vNVYrDoUt e2KGVRrmS1yylOPIrKrMZanMWUIwzT1Z7VeyqDKXeThf4ee8PlXqPZSr6HMQ aZfts58ZTdOk33y178oX5sEqR9L2pGyn7NT2vW+v7J9vkaj8oV/0j37SX/pN /9X8eAvtWRPxIU7Ei7gRP+JIPIkr8SXOg32GIjhjNdKCpioesvuSlyLFD3ki X+SN/JFH8pktvJLf4VGvoEz4Ju/knzpYFZiodAH1lBNKL3/p90r6//mlm5uC KnNTbh3ega8nFmG+Rx5mGoSjxEDi0JqJmGfYTYtFpcyvGYf5L8ai9EXJVV6I wxyDJMzgPiANEjDbLhXb/AKw09ofS30iUVQ3FaVGCZhQvYcaNzQ0+B30dJ2I d+yHY5p9HmY3ysCC2glqbBPXpxpv1g/nGlriel0jNQ7pllFdHPN0wDCvkYis USax+fSn5iwcD5VkMBMxjQp148MyMffFFN26W+nqyP1NZldLx5yaKSh5IRFf iI+F5qn4zDUX2e3HI6zBAmQbTEIax3dVL0KGfSF6NJ+Abi9o6xl7JaxFjFmR Wt8rpVrhw/lKtUL1ebTZHHjGr1P1eR/vz7ArVO2xXbav+pH+Rku/7J920B7a RfuUnVXsVn40zlR+0T/6mVrtGbmK4EXciB9xJJ7ElfgSZ+JN3Ik/eSAf5IX8 kCfyRd7IH3kkn+SV/JJn8k3eyT91QD1QF9QHdaLXDPVDHZWoOS7hSl/UGfVW +fofmuPyp25MzKLy/RIrDoGT6/OOBdPlKK5vqxjS2e1jiTNHw9XuE7hYj4B7 kzfhZDUCLk5y7v4+bFq+iRYeb2Pwh7NxdOc6nNm/DEd3MEfRnqcc27MMx3ev w6+b1+PkysUS60qesmI+Tq2Yh19WLsGJvSm4sMMLV/YE4caBQKxf6oG8fBe4 utWFs8Tj7q4N4NZ0CDwthsLdfAjcGw2Co/VALJ+2GIfK5e9RVgvxrQG8QpvB J8xa7SfvHtYYnp1M4RnWSI4mcG9fD61C6sM/qSkiBrRGfN+mCE+xR1tva4mX DeHcsh7aONVFGz8LBARawzvABG7tmsGPz1YiW8MtuzO8Un3g2VHynRAjeEmO 4dq+Lhw7GaFoqS/OH0nG8R+6Y2JZAFoE10Eb3fMVHnleUOaP44dzVD3W5328 n+2wPU/Ja7xSveGW1Vn1x37ZP+2gPbSL9tFO2ku7aT/9oD/+iU2Vf/ST/mp+ m2o4cI0ywcUr1FrhRLyIG/EjjsSTuBJf4ky8iTvxJw/kg7yQH/JEvsgb+SOP ik85J7/kmXxrectipQOlB9EF9UGdUC/UDfVDHVFP1BX1RZ1Rbyp3cdXnys+X u1Df1Dn1XlX/z/u6r/stYet3u5CRnQ7XkP/eOLA83XpNfXtyPn0omnm3Qvvo rk+Yb131GYgUrgvWOxdnrvyMqzcvYueRPfJPh7b+Fvcp+fnyCfxx9zr+un8L S7auQEpmsrbm8nPkKVoOlVPpX1ZOusTVecjNzEL/IQOwYs9qib6vYOfPB3Hs zK+SQ5zDkUs/44fjh3Hox/3YfmI/9h7di1MnjuDsjXOYvmUeRi+dhA37t+C2 2lf+fuX8eX1+8se9W5JTXtPmsTwuX5HPeZ31qs6/1+bD31ftsn32w/7O3jir +qcdtId20T7aSXtpN+2/i8vizyq8NHiA+Jep/KS/+rxBlefIDYgr8SXOS7et ULgTf/JAPqDygN8VT+SLvJG/fN36bk/Uh269BeqC+qBOqBfq5on6+AfPWPTj wqhr6ps6r6r7/52XLr5kbvKnZFBci7zqn8XbF7F77EcSZ0djVlg0BoW+hbdD ByIhfCqSbCdLvCt/9xtLjGBcgOQmE5DSeALSzMYjxYr5xUwkWZQhw1ziZqPJ 6B81BW+nfoj41nJf00JEms1CrMTfyY04z1ticMsCpJuPRRfjIvSMGo30kPGI M5a422Kcbv2qAlVSJF6PM5qC95NfxzL3ECww1+Ul1u2wuFkYyqxS5LMukidI ntE8CQvNumJRkwgsts3CYs7Pb8y9H6Mxzzod0+xyMNMuQ3KETrpnMA+edahc pEU4prsla3NLrB/JV9RaYyGYIdfLWnSR+u0eup/tsd2Zdpmqn3nN0qTfGNU/ 7aA9tEvZJ3bSXtpN+xdbh2lz8q00/+jne+Iv/U5R+UqBrkxU+BAn4kXciB9x JJ4KV8GXOCu8Bfc4wZ889BM+yAv5IU/ki7wp/oRH8kleyS95Jt/knfxTB9QD dUF9UCdVJUUdUU+o3C/v/4MchusRP/I36/yhfdjSbzjmmor+DcJQqhvzNc+Q +UmsikM5t5q/pc82SMFMk3TMM4rHzBYZ2OYZhA3N2+GUrzW2OQehwCxX1Sk0 SEeJcRLm2iRhW8tAHGzvjpJgicGNJEepkaDGPHFdqlkSi3Nfdo7TmmzWExWm primm+d9ubYJbtc1xE9uzhgWMgpx1ecg9XE5ixpjVajlD9UL1bisqHqzkO06 DrPsOQ8kHrMME9SawfNri4+W3TC5SQrG+ffAK7YjMMjtbSTYzUCUaTGc3TfD r9WXSKpViByDAsTXkPzWcI6aJ885/pEWJfCIWIcMgylIrv5wvsJzfu4ZsRYR FnNVfd7H+9kO22O7Pq2/hIvHZtVfgv0M1T/toD20i/bRTtpLu5X94ke22zjl lxqHVl3nb6XvD+cqxIl4ETfiRxyJJ3ElvsSZeM9Ra4OlKx6KdGPlyA95Il/k jfyRR/JJXskveSbf5J38UwfUg9KFiVaHeqFuqB+lI0PtGR31RZ1Rb9Qd9Vf1 df//4hwX7kPB3xvGTN0IU+unzV2pOh9luBqn4+Q2Ck6On8K15SdwtXoPbubD 4WY6SBUP24/g6jEadq2Hw8r+LXRN/xRLls3F+QMr8euuffhpp+Qqu/k8ZQWO 71qPX7esw8nVSyWulfh2eZkW466U98uW4KdNE3B+ny8u7GyLip0BOL/DD7e/ CcaNfV3w1WJ3DBzYFG071IWVTQpa1XkXrqZvSFz9JtzMhsKxxSBMH1GEb7Z9 guwMY7jY1oG/pxHaeBrDw78p/Npawz/QHJ7exhK3N8SoQnccOBiKX34Kx+mj nXD8UD6+/U5y6LXt8eooN/glN0HLoAZwCmoErzATtOkk8X/H+vBkXtFB8ol4 e7hntZb8XHKi9lKH46vaG0ueUA/j5rbBmRP5WLs9Dp5dG0jeYAIHyVd45Pna 7bE4faKXqsf6vI/3sx22x3bZPvthf+yX/dMO2kO7aB/tpL20m/bTD/pDv+gf /aS/9NtX/PcUHNoIJv6eGj7E6ZvyTxRuxI84Ek/i2srwXYUz8SbuxJ88kA/y Qn7IE/kib+RP8bhigcYr+RWeyTd5J//UAfVAXVAf1An1Qt1QP64en4meRlZq izqj3qg76o86pB4f5C1Pnu+i5rA0HYgx0zbyH/9/vg+LfA3v3r+Hdz59HwEd 2qJdRAf07/2fjQN7aD4996cPcNHNp89Evz4vPfv3c4lv8yTO7dc3H5d0e4T8 +Ou/cOTkYX7Dcez8Eez78YC2XpacTyyZiMyU1If2Tlc5SZW8hGObOH+it8Sv /SQW7t+rp9jSE7l5WUiUeDYtNRlRSZEIigyFR4APIl9Owoz9y7Ht23Js2rsJ Ry8fx7krJ3D75mXcVesH83nWfdy4cQG/qD0l7+PbIwexaPMaOX6ry63+rLLm 1x3c+u067qo58toYMZWvcOyXnPNzXme9v6qsA8Z22J7W7kHVD/u7odYFuK/s oD20i/bRTtpLu2k//aA/9Iv+0U/6S7/pv8JB8CAuvXRjwKrmMVV5Ir7EeWLx RIU78ScP5IO8kB/yxBd5I395T8lXHuSO3ZUuqA/qhHqhbp72/O2faJF6pq6p b+qcev8fD+XUGC/Gk3/i8anSNfx2/xrKf92GwSkFGBA6FFF+EgvYS+xqzxxD 4g8TxrOSZzSW+NZivFpbSr8mrr4kmTP2nYP0JkVIsJ6ICLfliG4ocbHckyox cZpcV7G3BdfR1dqKtZ6G7LbjMcklC8P9ByG22TSkmLKOxM5mzFvGIc1yPGKa zMJg7zexyqYtFjeNk3i/G74w7Sz5Q6zKA5Y0kriS+ynYdMNS6ygstNByjcV8 ntGM80U6YYlZBJZYh6LYVr5fDj3lKHkJ90nRjdFaqBvrNd2pG4pbROjGbj3I V3jOz2c4d1P1Flo/2EeF7bA9rd0k1Q/7Y7/sn3awDdpF+2gn7aXdKq8SP+gP /aJ/9JP+0m/6TxwUHmr94QkKJ+JF3IgfcSSexFXhKzgTb+JO/KMbliJS+CAv 5Ic8ka9HOSSv5JdtkW/yTv6pA+qBuqA+qBPqhbqhfh59qSXluJ7WX//7c4of fam5KVVM+vOPKzi2ZD7W9vhIYtVIiS8jMa9aAhZyf3nmJlJKDRIws1oa5jRK xtz6knu4J2GnXQC2OAXirIcVzpqY40aT+vj9hZr407AaNnq1x8za6VjmFolt DoE44tkKF8xMcc+oOo66OmJag1zMeSFFi40NOebpwdq83L99Rr0s7PH0xd0a NXGpdkMtZzE0wW816+BHF1e8FT0SCTWKtHi9hnxnqk9T88uTak1BkuEkpNYq QFr1iUisJd/L2uMRx7zFoRBvB74mOUAKPvR5DW9YfogB3qMQYz4XqcaFiK5T hniDOWp8FsdO8ZlIsPVyOAdsRXDz5Sr/yGRuUm2mykf43tNvHTpYfqF9ztxJ 8hUeed7BahG8/NfprhWq+/ie7bA91a61NqaM/bFf9k87aA/ton20k/bSbtpP P+gP/aJ/9JP+0m/6TxyIB3EhPsSJeBE34kcciSdxJb7EmXgT98r1kcmHoZa7 kCfyRd7IH3kkn+SV/JJn8k3eyT91QD1QF9QHdUK9UDfUD3VEPan8RYqmswSl O+qPOqQeqUv9i3r9b44V08v/nrwLzx2PFi2GSez3uDhPn6O8B0e3kXByHg0X O8lRmo6QWHaYxJCD4dZkCNzNBsPdYhic7T5FK4eRsLJ7E35dR2L0pBn4ad9i nN2/VOLShRKnbsOvu8txfMc6NU7o5CqJaZdXyVN05dSKUvyyajFO7E3FxV1e qNjVFhd2STy8yx/ndwfg6gZ//MZ91b8Lxg+b22DKrNZIyh4Aj5ajYNdwCOzq vwEno0GwafA6MuLGY/r8gUjMrg+3ZjXh5VAb/pxT71pL8mU5966DZV+44Y/v 2uHS7hBckNj70o4wXNkZjysHOuD2z5G4fDYCB38MQcECJ8S+YgYHyRda+deH RztjlTN4ci5MCMdUNYJ7cgu4SX7hEWEp+QVzDiPYB9eRXCQQx86+gq79beEU UB+OHVzVkee/nHtVrgepeqzP+zwiLVU7bI/tsn32w/7YL/unHbSHdtE+2kl7 aTftpx/KH/GL/tFP+ku/6T9xIB7EhfgQJ+JF3IgfcSSexJX4Eucft7TBjYNB Cn/yQD7IC/khT+SLvJE/8liVV8Uz+Rbe1Tgx0YHSg+iC+lA6Eb1QN9QPdUQ9 UVfUF3VGvSndif6oQ+qRuqQ+tf1bHv/Mhfqmzqn3P6HtnfK8f5n+vK+t7b/z 8F41B9olxAe9/sNxYD108xPUfPqO/mju0wrR3aIq59Pn5eWjR4/nWAequ7TV uzuOVPxL/tT+KXnYdWw4tA2nJR6/+/t17Dl2UH3Tf7t7Bf3eek2tu5uvGwfG cU78fV6fl/Tp1UP6zUaW1ElOTkDnbl0QFNURwSFt4djOEy07eqJtsD8CO7VH e7mWmByLxIREpPXrgdLNZdh35jtcuHBS9y/M3QfrE/91Dz9yTeOKn6CNw7ov 9lzHtgO7sVzy15/PHIM2Vktbi5h7Q16/rY33uqvLV+7q5qrwc17Xr4nM+3g/ 22F7bFfLT+6p/tgv+9evf6yNAftL2Ul7aTftpx/0h37RP/pJf+k3/ScOxIO4 EB/iRLz0eQxxVPN9+NxK8CXOxJu40xbyQD7IC/khT+SLvJE/8vh0zeQoPVAX +vn41At1Q/1o8/H/8/W0qWvqmzqn3tVeJvf//PuX4r/y0tZO/uv+PS1e/Fs3 dyVDlfz0h3Ic2FiI8inLUfL260jpthQJtuMRblaIbiZTkNKEz08k5jEdh1TL x+cnjyspFgVINJuHVPMZEvOORbrFfKRYTa7yvETqmEsu0mgiYmxnYnDHIZhs l4gpTRIxU47vdB6MuKZTkdpoMtKbzkWSVQnS605EvPMyjIl6FyvqdcACyygs tknEEqsu8p7zP7gnSycsaCo5jGVXbY/Gh9Yd5r6McVhsHaf2TtHWOu6EWXYZ mGrfA2U2MWo/FP3zkgXWHTHVLUVbu0vyEC1f0ea78HNe157HtFP7vZTaxGKK tDPbLl2tBbZE5Tkhqj/2q41Rq2IP7RM7aS/tpv30g/7QL/pHP8eKv/Sb/isc BA/iQnyI00wdbsSPOBJP4kp8H8Jb8E+3mKf4IC/khzw9D59qzWPhnzqgHqgL 6oM6oV6oG+qHOqKeqCvqSz8utFKVf+ryF7Wu3//G85e/tLkplWO+/sLvv1/G weIFWBzYHUUGXOOpM+ZJHMnf1EsMElEosWppo26Y3SANS30jscOqLXZ7e+NC SzOcN22Cm43r4c4LtXDToK6Ke6+aNMD5ZubY7eeLLWHBOO3QFJdMG+GOUW3c rF4X16rXx2UzE5S5pWHmixIHG6bp9hlJ1441maukYw7fv5iOCVZ9sd/NB3eN quG63H+pjjHOmxjhVu0X8aNnSwzJHIZYQ8lP6ghHtSchvZropIbE7NUnS9w/ C9GGJUhtOB0xjeait884vGb6Md4JHoIhHQYj2roU0QZl2lgqA22OCvdsVGsY 6+fBvDgdOQain1oz4N96tfzN34II03mSc0xG2gva2mHxtYvgGLJVNxaryngw OXcIKRf7ilQ91ud9XeV+tuPfarVql+2zH/1YLvZPO2gP7aJ9tJP20m7aTz/o D/2if/ST/tJv+k8ciAdxIT7EiXgRN+JHHIkncf3a3UfhTLyJO/EnD1V5IU/k i7yRP/JIPskr+SXP5Ju8k3/qgHqgLpQ+RCfUC3VD/VBH1BN1RX1RZ9QbdUf9 UYfUI3VJfVKn+u+LWg+58hnmf/Bt0M8bPvUrnLzfQWsnielc363yLEW3D73b B3By+QQurT6Fi/UHEiO+pWJF9yaD1RghD8th8DQfCtfGb6K51WhYO72PwKgP 8OHYaTgg8WfFgaXqd/Sfd61ScxhObdmE019+rY0PWlaixa78/b1qTLtSYtwl q3F060hU7PXEhZ2BulyFhXmL4LwjHJd3d8W5HT64sjsIv38rcfKhIOzc8DLG fT4B/TMmoJ3fKHg2fRPmtV5FcxPJx2IjEJZVD51CG6BVq1pwaF4Tjva1MH1S K/xxIAgnt/nh3E4fXN4Vims74qWfYFTs8MW57RKT75Jc4FAEbp2MwZnTXbBc 6vb5qDm84hrC3r+2/H2vAfeutdAmrB4820m+0cUMHul2cE9rqd57BhuhdZAh 5n2VjNFlUbDxNYRrqJs68nzeVynqumeIdi/v4/3qXmmP7bJ99sP+2C/7px20 h3bRPtpJe2k37acf9Id+0T/6OU38dRC/HcV/4kA8iAvxIU7Ei7gRP+JIPIkr 8f392wCFN3G/vDtC8UA+LlTmkwGKL/JG/sij4rMqv+p5yzyNf9EB9UBdUB/U CfVC3VA/1BH1RF1RX9QZ9UbdqbF/okMtd3lL6ZM6pV6pW21f0uEPnrmIvqlz 6p26r/o9eN7vy4hJH8POW5tTwvE5/05smKfWf8pTv2VHJESgmY8D/DsFavPp e+rn07Nwnw3uC5j3xJylcuxRejIWbFksht7GnTuXcfO3S9hxaIfEmbew79h3 /OOLH84fRu9e0m+vXmoNq1w1zyIdCYkx6JDQGYHh7REQ5AfnTv5w6+iHwCB/ BEWEIkwXo3dLjkd2Thr69s5XbfTjOmISH/fu3Q+9uuciNS0FbxW8j8Vfr8Lp CuYfVfdB+QMHjn6LGzcv6j7XzzP5C+evnsPqnRuwZtcWXLheAX2uw/n0d+7e wh9/3ETZ9s3qeEc9W7mBypxD6vM+3s92tCT0rta+9MP+DhzV9mSpuu8L7aOd tJd203760VvlHj2Uf/ST/tJv+k8ciAdxIT7EiXgRN+JHHIkncSW+CmfBm7gT f/JAPsgL+bmj9me8rXgjf08fo6dbx7iHfh9R3dpwPbX5+NQPdUQ9UVfU178z RqyHbtwZ9U2dU+//5HvyHN8k7fmJ4KGNHXj0uuTVHO/3yzaUr1uILUPew7SU dEyyScWEljHo6zoSsc3LkGgssahpwUPPQJIZ01o8X57yoEyQmJhzKcqkHYl/ zCUmUnHzeDlK7sOxXo0nId5rBob5DsacZqmYat0fBU3zMcUkBzPtB2Bw1zES U0v8YlaELMs5iDQtRW7n0VjZOkTNWdfP/1D7OerXDrbS1udaYtUNSy2jq+yD InlFM8k1zGMkvwirsh5Ye/VcZEHzSOkzFzNbdceCZl21ZyX69Y0dY9V+80WW KdpRzmc7xqvr6l6pz/t4P9tZrN/zRb9eGPtjv82qzHHhvi+W0crOh+b8W+v2 sdTNv6Gf9Jd+03/iQDyIC/EhTsSLuBE/4kg8iSvxJc7EW8O9QPFAPsgL+Uk2 n/DPeK2iB/2zG+qFuqF+qCPqibqivqgz6o26o/6031Qeli31St3i/2b+8rf1 iP/C9R93Yf8rAzG/ucSKBhESH0aj2CAVM02yMK9hPAotM/GVT3tstQzC9wGO uGjeRO3t+FtDQ4lB6+BG9Xq49UIdtTbURcarjlbY4eCPLz06oahRKop80nCl gQluvVgH12oZqd/zL9VtiD8Ma2OXtz+m1M1DMWNi9WxF6humqHnvs+Q4s57k R3W6SYzcDbNqJWCCZTrWBIbgZCsr3DStgZt1quFCfYmXDQxx1NUWb+S8pcY6 cf+SaONSpNafiRjrMrzmOQqvNP0Yo30HYIZJd8xqkoEF9ficKBElJvF4z/UN xDQtRrLkA5xHoo0l04raw1FyhegapYgwnq9yhizJNWLqFMPDfSM8XDdKHjBH PSfJMpiEQKdVCHJcod4n1Runjjxv67xKvWc91vdw3aDuZztsj+2yffaj8hPd PH1t7v4MZRfto520l3bTfvpBf+gX/aOf9Jd+03/iQDyIC/EhTsRL4Sb4EUfi SVyJL3Em3sSd+M/S8UFeFD/CE/kib+SPPJJP8kp+yTP5Ju/knzqgHqgL6oM6 oV6oG+qHOqKeqCvqizqj3qg76o86pB6pS+qTOqVeqduq35P/ZD1k/Xqus9fs gEXLgXDhmBrnKs9SXEfBxVFyFNtRcLN4W+LCoeq3bQ+LofBkrGj2JlwaD0Wr egNhazwIjp5j0K33GEydNQOH967A+YOrcXrPOvy0jfNS1uLE2pU4tWIRTi6b K/HqKvy6vBxnVi7Dryv5XGWerjBXKcOppcvx85bxOLc/CBd3BlTJVfT5isTK +7qpUiFxOH/TP7cjABclTr+6zws3vg/F2QP9cGjrx1hTPBuffTQNb6RORqDf Zwjt2RHr19jji7kueGtgMyT1ssCRbQG49m0Q7n4biNtfR+LW3kTc3NsOF3cH SPzfVoocd/rh/HbmLhKL7w/DjSNRuHImDvu+98PwuQEIzElEkw6psApsAQ8+ I+lgjDYcDxZtBbfM1vDgM5eQBmgT0Rgfr09H2242aOHTUh0/WZeuPud1jxTd s5koK3W/es4i7bFdts9+hpcEqH6vSv+0g/bQLtqn7Nyl2U376Qf9oV/0j34e 2eav/Kb/xIF4EBfiQ5yI15riIoUfcbzxfUeFK/ElzsSbuBP/S1LIx0P5ihTy Rv5+3jJO8Xlypf75mcY1eVf8iw6oB+qC+qBOqBfqhvqhjqgn6or6os6oN+qO +qMOqUfqUj3jE51Sr9Qt9UsdVz5zEX1T59Q7dV/1e/C0l35d1zM3LqJtVAeE hLdD/39jPbCq+9NzXoRzsDvs27o8ZT49xwdJTtSjjxz1OUtOZZ7CY05OJjKy UpGcFI9X3nkVd+/fqPw34ty1czh08nv8cOJHievPYfqSQnh2CUK7sPbwDfGD U3gAvNr7IahdIIJiwtC1W1ekJiciOztT+svR5SUPxkBlZKdW2thDYvI8iZ/z 9PFzj+5qjd/s1FTkDeqLcUsn4JdzHO90X607fPf3G9jz837c1+2b8mBNYuYP 2n72P538Gcs2f4nyg3vw+x831Wc3b1/D7TvXMH/nFnXkOT/nddZjfd6n3+/+ vn4ei64f9sd+2b9aJ5ljxMQu2kc7aW9vteZXd+UH/clT+95kV3JBv6uOjSMu xIc4ES/iRvyII/EkrsSXOBNv4n7hxjnFA/kgL/pYhHyRN/JHHslnVX4rOe+R p9NBj4dy17/Nxxc9UVfU10tqrOI/n4+vxoWJvqnzttEdlO6rfg/+2Uv7fa1y bNff/lzdwK3bt3Bu51R8tXQdNr35NsbF5GNyizSMNo/AZ/J3eUbjbhjpOww5 fvOQ0KwIKU3GSQw68TG5SQGSLJ/0O/yD+RSVsa/FRN0YozFy3yykmM9FsqnE Q2azkWY5E+mWpYhuUIJczxkY1+5tzDTNx6RGWZhs0w/Tm/XCZKt0FFikY6ad 5JqhIxDdeCribCcjt+tnWNAqHIvMHzynUGOxHll7WL8+F9cU5v6NX+jWK15o FYrF1ily/mCP+qrz4/lspdQ2FlM579lOW8eLz0imuiVjvnUnFJslqiPPtWcz HVU9PpvhsxXmKYsemb+v7VXZUfXL/rXzUGUX7fuiSq7yJJ/oL/2m/7G2UxQe fTq+r/AhTsRL4Sb4EUfiSVyJL3Em3sSd+JMH8kFeFD/m46vwPeExnD4y1s/y MddU7jJR6Yc6op6oK+qLOqPeqDvqjzqkHqlL6pM6fUTWD8aQ/Rd+P66cQ195 fg1nvv0aG/PfRnHdGEwxkLiwbioWNOiGIqd0bHdri022wTjh1xwVDZvgqoUx 7tStrWLMazWMcF2ON16oi1uN6+JSk0Y45t4S5a0CsdQtCnMapGBW/VS1B8ds iTPLWwRKvXq4ZMi9OoxxuY60VaMG9nt5YIJ1LoprxWF23UTMNEpAYYM4zJIY ucgwUT6rEi/X0uJl7vU+tXYupkheutohHF97eeGq9H/Tqh5gWg3HXJuh94BP MNBlJN6w+VA02gOFxtmYay66qx2HkheTMKdWKuZUT5W4PF360J4ZlNZIxDj3 HGQ5FSD6xTI1v0TN05cSL7F+WvPpGNz8Awzxew9pttOR9EKhekbC/CPcdD4c 3bcgsNVKtb4Xn5s4BpQjvvYspNf6TB2dArapz3md9Vifz1aydM9mVHvSLtsf bPOB6i9e7VGpW3tY7KFdtI920t4inf30g/7QL/pHP+kv/ab/xIF4EBfiQ5yI 11XJEYgfcSSexJX4FunwrswX62p8kBfyQ57IF3kjf/s9PXCneg3FK/klz+Sb vM820HRAPVAX1Ad1Qr1QN9QPdXRdpyvqizqj3qg76o86pB6pS+qTOqVeqVvq lzqmniul/W/Mzb9/X62wgiEfLIBF88Fw8XwXjh5cS/ZTuDqMhnvzD+FpPgye poPgbirXGw+GU4PBaFV3EGzqvYHWjQfCu/UwpMWNwkefLsKmDUtx7sAmnN+/ Cac3r8Gx9ZKnrFwkhfPndWOAVLy6UMWrZ1auwNllW3B6+Uackrj11Mr5UiSO XcJcZSxOHgzERfW7vTbWqKKyMBb3w5U9XXBhe0dc2O2ni5Xb6uLoQDWX4sJO D1Tsk3rfhqLi+1xc2DsMh/e/g/L5C7FsfQI+HGGJGdNt8FaBOeIG1seHbzbF pAmBWLi4A/Z92QaHN3ni1A4f3NgbIPF+oBwl1t8bhCuSA1ze7a2eX1yWmP30 N4Pw64Gd+H7PTkxf9Sl6jPaAX1oj2Lerj5b+9eDKtYvbS56S0Bxt8pzg0tUC nfq6I+G99mjm1lodec7PeZ31WJ/38X62w/bYLttnP+yP/bJ/ZYfYQ7toH+3U 7A1Q9tMP+kO/6B/9pL/0m/6PFByIB3EhPsSJeCnc9mk4nt/hr3Ct0OGsiuBe Ud5R8UA+KtRYMI0j/dgw8nfyQCB+3jxW8Up+NZ6XKd7JP3Wg5TALdePF5im9 UDfUD3VEPVFX1Bd1Rr1Rd9QfdUg9UpfUJ3VKvVK31C91TD1T19S3s+iceh/y 4QJtb4znWJ//vu7vyKQvpqOZl6OKXfN0e5/8k9I7P1/97h4cGQrrNnZoH9VR zXHmGKLc7tlPvldi19y8XiqW7tkjX61BlZubJfFymsS36cjLz0Z+fg6SkpPw 7ozPcPzmKRy7eBw/HD2INdvXYFH5Wmz7diey3+oN387BiE6KQmpqssS0Ehvn d0ef3vlqj/Xe/H1fF7urfe/FJj4roA05ORnIyExVfffgWDWupytFre3LWF99 LnG2+NcjOxsZeenoO34Q9hzX9pw6f+UU/nWMawn/+WBuvH4N4spnMPfVXipf /8A5KF/i+5++l3zyd9z47Qbm7dysjjzn57zOemrvFd6nb+ORdtW+99Iv++eL 9tAu2kc7lb06+/V+6H2jn/SXftN/4kA8iIvKE3po81SIG/EjjsSTuBJf4ky8 ifs2+c4u2r5W8UFeyA95Il/kjfyRR/JJXsmvWruN47+Ed8U/86knaIQ2aWP7 eihdUV/UGfVG3f1bepW2qHfqvur34Hle6vnJ375af8h/N3Fb4r+j+8uwvnAV VuYn4dP2r2CSRTg+No3FmHqJmGyajIkWaZhplYKCNv3Rv8M0xLQqQ2KTSSpW TbKchCSLJxRes5qsjokWWv7Cksj5JSxWk5BiNUXOpY6ZxCJNS+SzeUhuLHGH STG6Nf4CyQ0KpcxAN7sv0LPDZBQ4ZmK6RTKm2mRgarNkTLNIwGSzZLWXyGTT VHxumoNxHjno3nM8RnQZgJX2bbHIQvIOzkXRxfRPLh10ezfyGUaCvO8gOUMk FppHqvdPum8R1xTjXJWWqZjm0BMlNt1Q0jIC050SUdY4Xs1p4Tk/53XWY33e 96Q2VX/SL/vne9pDu2gf7XyaH8pPrnEmfq+wD1Q4EI/xggvxIU4KLzMNP+JI PIkr8SXOxJu4E3/yQD7IC/lRPAlf5I38kUfyqXit5LjgIf6fphHqiHqirqgv 6ox6o+6oP+qQeqQuqU/qlHqlbqlf6li/N2Xl34m/NN3/89eDL8q9P67gx6JS fBHcAzOskjCDezt6JGC3aKrcXf6+OpvjvMSJN83r4featVT8eNXQCFdrGKv9 NW7VktjS1AgXLJvgOw9XbG4dglKHRMwxSUVhnXSJTeNRpvbdiEWpYSRmm8dj t7c7btauJe1KblO/Jn43roZvvFwx0TkHM/ncpB7ndaeiqA6P2p6Hal/H2lqZ Je9n1czQxiVJmfdCAubXS0BBg3xMse+FYZ3exbsxw/FJ9CC85j8S03J74uO8 YRLbxmFS/TxMrdUd0wyyMV1KUfV0ibNT1DxyzrOYVVNi/prpqv1SifVnNk1D L85hqV+s9m/kM4+XHUejxF/6bZGID9yHIMGsWPKO6UiuKddrzES6Ggs2HUF2 K+HUdhs6mn+BsIYL4em4DrnVPpDjWnSUc37O66zH+ryP97Mdtsd22T77YX/s l/3TDtpDu2gf7aS9mt2aH/SHftE/+kl/6Tf9Jw7Eg7gQH+JEvIZ1flfhRxyJ J3HVY8z2Z1XhQM8J+dF4SlW8kb+JLjnCpwvuCK/klzyTb/JO/qkD6oG6oD6o E+qFuqF+qCPqibqivqgz6o26o/6oQ+qRuqQ+qVPqlbqlfqlj6pm6vldljsvz 5vj6Wnf/+hMBMR/CvsU7cGo9Co5WH8DBZCjs676GloYDJA58Dc0bD4G9heQt zd9GQNAIZCR/greHzEHJnCX4bu0i/LR3My7v2Ywz6xfh1IoFOL58AX5dVoxT Uk6uKNGKGg+kL3N1xxKJW0txdsUynFuySWLXvTi+dBmO75iEK/vDcaXcW2Ll YIl5g3FpVxAu7wrUFckXJB6+JDH01e1R6vyixO0PF181Z+Pidjlub4ML5W7S lhMq9nrItQ64dSgQvd6PhrFLLL5dOwBH1n6KTcsHoGi1xPSLHTG1wBEF090x bZ4Lihc6Y8FSV6xY6YQda5zx/ZY2+GVzB5zcHop/HWqHw7sycWRTDiq+8cWd f3njzrEwHPk2GMWrAvH6yJYIyTODZycj2LWtBTu/enCItYZTrC38+3vCvasc X/KCU5yt+pzXWY/1eR/vZztsj+2yffbD/tgv+6cdtId27VjrrOykvbSb9tMP +kO/6B/9pL/020j8Jw7Eg7gQH+Kk8BLcLm730XAUPB/FmLhf3RGleCAfGi8a R+SLvJG/K+U+wmcXxSv5Jc+K7xXLFP+aRqrqolSnF0071BH1RF1RX9QZ9Ubd UX/UIfWYkfKJ0id1Sr1St9QvdUw9U9fUN3VOvVP3d3WD5Z/5rflL/XKPsD7d kJGYgNf69cVLEp++3LOnlPxnFlW3V0+kpyfCOdAdPqF+6COx6MB+/fBSfv4z 2upZeWRMnC1xZEpGBrolxaOrxMMdY7qiY/sQ+IQHwrdrCPzb+qL3B69j75n9 +OPP68r8/RLXb/p6K4a/9yZekzj89b598Uqf3hggNrHv/hJv99fZWbXobRjQ W2Ll7EzkZMrfitweyO/eEz2756JXTpaU7IdKTx6756BPTg6y09PQ7aVErDm4 DscrjuGkWg/gz8p1v/5WdOuD8XXr92vY/HU5VpZ/he9PHMHC8i3qyHN+zusa N1Xu+1u5o/pjv+yfdtAe2kX7aGfPR+zXSpbyj37SX/pN/4lDVU6rlv46HPme uBJf4ky8iTvxJw98kRfyQ57IF3kjf+SRfJJX8kueyXffR3TwJJ0oW0RP1BX1 RZ1Rb9Tdyzqun0ev+raoc+qduqf+//lPyH9wlQX8fmQjvt44G1tfexvzUiMx TmLDKWYdMLp+JArqJmB6w1iJYVNQaJmE6daJmGYm8VXzZLzv8w6ynCReNSlA ltHHyGg4WismzyhSJ7PRGGQ0Ho/0RuOQ1XACcsxmIb3hdGQZynnjEmQ3KUNW HbluPEXez0K2ibw3+Qzp9aYjx3AaYlvMxPC2AzCjWQymNEjGeNN0jG+cijHm 2RjVshcmuqVhjL3E4bGpWNUpCF93scPFgFpYGRSEErNwLLEIUusHq2IR8vRi HiL1g7GUa4SZx2CJeRSWWUXJ+8Bn3rvMLBCLLEMx21ZiohaZmOqagynNctVx lpzz88VynfWebUeg6pf90w7aQ7to3zPv1flKv+k/cbgYUBv7BRfiQ5yIF3Ej fsSReBJX4kuciTdxJ/7kgXyQF/JDnsiX4k34I4/kk7ySX/KcKXwr3p9TIyzU ldKX6Ix6m9M8SemPOqQeqUvqkzqlXqlb6pc6pp6pa+r7vnr+8sczvxF/+8Oi e12/dxdfL16MOR1fwhee7bDZpC2+8fbE5RYWqDBtgt8a1cVv1Qxxnc9Oahnh Sk0TXK7bEFc4p71aHdw0rodLNo2x38kDW1oHodgqEcUmMZhdLQ4LDbpi3otS anVCWe1wLKgWgfnVu2J+tS4oMk5Qcxh+M6iNu3Vrqja2ewdjWsN8iV1TMLda itqr/eGiraNbUl3eGyRjvsS4i2vGYE7tVMxpmoHhrYZheKN30NN5nJrTkVFj inoWEScl0XAW8g3Gop3ZKnze/3Xs9g3AeqNQ7PMIxMp24Zjuk4Ox5i9j1guZ WFAnCfOMkzHXKAlzjCX+NsxEkUE65lvG4TOffohsXopIr1L0dB2HN5p9iOj6 86SPOWrOOp93cF68fr48n53kGYhm5L2/9Ur4tVwFF+/NaN+kFM4+m+HbcjUC rFeounkG41V9/Xx9teelgTYXnu2zH/bHfiPblCo7aA/tKjLIUHbSXtpN++kH /aFf9I9+0t91Rh2xR/wnDsSDuBAf4kS8iBvxI47Ek7gSX+JMvIk78Vc86Dl5 hCvyRx7JJ3klv+SZfJN38k8dUA/UBfVBnVAv1A31Qx1RT9QV9cU2qDfqjvpT OhQ9UpfUJ3VKvVK31C91TD1T19Q3dU69P+578Nhvie6Hr2O/nIFX52I4B8+B T9AUdAibguTY6eiXNhPDehVj5FvFGF+4FGtWbsSJTeU4t3Mzzu5ZhSt716Ji xxqcLt+EX77chWOLvsTxZRskptyAE8u/wokVG7Wizp9cji/fgsMrt+Nf5aU4 9M1IHD+ShbM/5OLE3mSc3haGE3vicOqbVJw9mIlz32Xh/HeZOH8oTY7Jcp6E UwezcOZgnJQYnDkQrcrpAzGV5dTBWF2Rdg4kyGdxOHlQ6kk5eTgeo2fPxbGS g/h56VEcXfMtjq/bjZMbtuPU9q9wZPcq7N4/B1999xG2/ZSPH47E4vtDXbH6 +2ws2/g51q0bhSVbPsPm9cOwff0glG8chO1bX8au7Tn4el8Gjn+fhZ+OpOD7 Y/nY9WMuxm2KwpBJwch72wthg9rA4y1beI+zVcewQV7q86FyfazUY/3vf86X +1NVO2yP7bJ91Y/0x37ZP+2gPbSL9tFO2ku7aT/9oD/0i/7RT/pLv0fPlpzg cIKGx8FohQ9xUnjpsKuKpx5jhbeqk6V4IB8aLxpP5Iu8kT/Fo/BJXskveSbf 5J38P0sjD7T0ldIXdUa9UXfUH3VIPVKX1Cd1Sr1St9QvdUw9J8VMR/uOU5TO nUTv1D31X/X78LiXfp7x2m82wDLIHd4JEXCL6QSPmM5wl+LxHMUzJhzOUR3w glMzNA31RUBStPrcLbpTZRvPass9thNsOvqhXoAjaru1hmFrO9QOdINpmB9a d2oP16gIeCREwT8lDp6R4XBJjETSZ4PxybIirN62Av0mvAOnmFBdX510pXNl eWLfsVKiOqJtRjzSh7yO9MGvI2PQK1IG6I6PL+mDX0Hm0NeQ/doA+AxIxXul k/DHrRv47bdnF+5TcufOTdy/fxdnLp/FgjWrMHXWHHXkOT/nddZ7nvbYL/un HbSHdtG+p9mv94/+0m/6TxwUHk/i6KGiYczPiXu/ie8qHsgHeSE/5Il8kTfy Rx7JJ3lV/ArP5Ju8k/+n6qPKkbrie+qMeqPuqD/q8Hn0qm+LOqfeqXvqv+r3 4akx2J+/4fD2+fjisw8xJH0Q3nIairdb52KI3TCMdBiCkW6v4wOv4RjlPRQf eg+R90PxgedgKfLedTBGhQ5DWM/NcOlyGN7ttsM3bDu8w3bBu+PO5yw74Ntx L/zCDsIrcDe8/LfBq9Nh+HX5Ab4ddsEzdAd8Ou+RshttpO02Hcvh3WmnnO+U 67sREFWOV5PHYYz/AHza6WVMiUvH0vgu2BAehhXOYVgW2QU/Z1njhl0dVFjX x+/WBrhWvyauNKqNKzb1sbRdHKZ5paOwTRJmeCU/dylskyjH7pjSOg8zPOXe Ns9xX5sUOUo85BmPGd7ZGB08EJ92HaCOPFefeyXp6j2rrWTVr+pf7NDs+Sf2 Jym/6T9xIB7EhfgQJ+JF3IgfcSSexHVKbDo+DRsgeL+CV5PGISCyXPFAPsgL +SFP5Iu8kT/ySD7Jq+JXeCbf5P35dbJT6UrpS3RGvXUU3X0k+qMOlR6pSy9N p9QrdUv9UsfUM3VNfVPn1Dt1D/Vc9xnJvW4NPNy7g+ujo7GpvQuOeJrgap3a uGpVF3+YGOBGteq4Uk8wrFtLYkJDXDY2xBUj0Vj92tpR6l6zMMS+jm6YmpSN T53zMd45ExMsMzHFNgUT7dJQYJ+JghbdMck2W445KLDNRYFNrpx3xwSrHiju nIgrHUxwINQeC1IT8F7YIHxk9zLG2PXGZw598VnrpxS7vhjj2x/9kkcj8qUl sMv6Fh5tt8O50y44esl3y3MzvAK2wMt3K7wDN8nf3k1o47sZHgHb4Ov1FWyi fsLGjDCghgHuONbETd86uBzUCOfameNkB1P82N0WO4b5YOF7Efh4YH8M6jAC A73fx8iXXpX7QrEoJwJvjPsQqQklyI6YipxuE5GSPBWRKXMQ2m0BQuKXoW30 l/Dr+hV8Om0UHW1Bm5At8PfdAJcO5ag/4CzqF1eg3ktn1Dk/53XW8+m8Ud3H +9lOR2kvQtpNlvZzEieq/tjvG2M/VHbQHto1yPs9ZSftXfhuhLKfftAf+kX/ 6Cf9pd/03zbqqMKDuBAf4kS8vPy2KvyII/EkrsSXOBNv4k78ycNTeRIeySd5 Jb/k+aDwTd7JP3VAPVAXSh+iE00v3ZV+qCPqibqivqgz6o26o/6ow6q6pE6p V+qW+qWOqWfqmvqmzql36p76f9aafPpLl6/eku93KdzciuDtUogAhwK0dxqP sMCp6JK8AFm9lmD4y8swaehKTJmwDIvnf4lDG/fj5L5vcPnADlw7uB/ntx/C 2ZWbcVpiybMrN+Dc6k1SNkrZ/BxlI86u2Spx9FZpcwVO7flYSiLO7EvG1R3x uL6tAy5t9seZ8nY4tTMcp3dH4MyeKJzdG41z+2Jxbk8aLn4dj4v743BJjvpy +es4XeH7BFzen4Ar+2NxaX8MLuyNwu8Hu+LAzl7IfHMGji1fjRubduC3DQdx ZtsuHN69EPt2j8Xe8rfxzYYR2LZhOFZuT8WabeHYVh6OTbtTsOnrPvhyzxis 2zYX3+3tgyP7EvFTeSyObEnAL7TpYApOS2z+y6E8rNgUic9LYvHu2C5IficQ nXI90TbHB+59beE3xBpucmyb460+53XWY/0VkrfwfrbD9tgu2/9pe6zqj/2y f9pBe2jXNrGRdtLebRuHi/0fKD/oD/2if/ST/tLvzDe5JkJPhQdxIT7EiXgp 3KpgWRVf4k3ciT95IB/khfyQJ/JF3sgfeSSf5JX8kmfyTd7/iU6oK+pL09lm pTvqjzqkHqlL6pM6pV6pW+qXOqaeqWvqmzqn3ql76r/q9+FxL/3eEweO/wtN 27sjJCEcwd2kJPyDIvUD48Jh5eWIBm1aICA+DB2ToxAY3xlBz9lGYILEkF3a wzHQD628XWHh54ZGvh6w8HSBWTtP2IRJDhweBO+IUHhJfJw1YgDGry3Bhp/L seXwbonXxyIopSuCxA72y/aCErT+9eVJfQdJfdqb0asHMvv0kdITWb3zpPR4 cunTA3m9eyK2exqiRvRD2fqFuH7rMu7eu63mnnBd4ccV7rFyl/us4C5u37mO 3T98iyUb12L2osVYsmmtOufnvM56qv6T2mI/0h/7LVu/QOzoK/akK7to31Pt F//oJ/2l3/SfODwRo4eKhq/iV/Am7u+VjlM8kA/yQn7IE/kib+SPPJJPxavw S54dA/0V78+rE9YL1PFFnVFv1B319+/olnqn7r89/q+Hvg9P/uOidubDzcNr 5d/OFfhq0k7Me/l1fN5+FCa3zsSoZr0x1nIAJtv0RUHr1zHF4VVMdnoFBQ6v YFLrAZhkL8XtJfTvMBYxQRsQ5bgG8a0XIc55KeKclknRH59SHJchsrV8921K Ed9sLqLtViO85ZeIsZVrzluR6LoZca2WI6b1MsQ7rZDPliPWcbEclyDafpXU X4zXYsZiotcATHPsgxkevVDo0RPj2w3BzOSe2JbSAbscO2Bd5y44G2WD805N cdvFCHca18UvQS2xJCgapc27oNSuC8paPm8JR5nUL22ZhjKLeMxrGal99hz3 zm/ZCfPsIjDLQeIJ95cx3q+/OvKcn/P689qg+pX+lR12XZ7bBhb6S7/pP3Eg HsSF+BAn4kXciB9xJJ7ElfhOk5iKeBN34h9tv1rxofGyXPFEvsib4k94JJ/k lfySZ/JN3sn/MzWi15Hoivqizqi3fh3GoUD0p3QoeqQuqU/qlHqlbqlf6ph6 pq6pb+qceqfu1dqEz5rrpfuj89edW7i8/BP8q6AHNtm2QblzK5y3MsFZC1Pc sKqNm7Vr4HJtiQkl/rtYpx4uGNXHRaN6uFS/Hi5KuWwkOaC/FTa4BGCFTxgK m6ag0LobpjWIxxzjCBQZRWN24yjMMI3DTBOuHZagyiwTzjOQPNctBRXNG+G8 mym2hfpjoXtXjGuRh0nGWZjWOB1TGmU+tUw1zcKYgD7ID/4cfew/R0LHWQiz /gIRdqVoZ7kUnY3mIbJxCaIaFCPSuAQRpiWINClBSK0lyO0xAd/1FH9NG+C4 qTku2DTGxS7mOJTYEuviAjHPJwbLHMKxLjQU0zqn4WP7lzHKWrjxz8ak/AxM m5eDd0a9g5i2xQhxXIoY89lqrGB8sxmIsZ6F6KZFiLIqVvuucE+VruZliGk0 B10syiQHWAPL8IMw7/s9rMIPqHN+zutdzUtV/UhLsdtqjmqH7bHdZGk/2rwI 7dif9PvOR+8oO2gP7fpY7PvY/iVl77oOocp++kF/6Bf9o5/097ypifK/e4+J Cg/iovAx1uEluBE/4kg8iSvxJc7Em7gT/2dxRB7JJ3ld6B6heCbf5J38Kx1U 0QZ1Qr1QN9QPdUQ9UVfUF3VGvVF31B91qPRopNOn6PSK2jPGUOmXOqaeqWvq mzqn3ql76v9ZQdhfuv/dw5/omvsZbG2Hqv3DHe1HwtHyPTiYDIFDnQGwr/0y bGq/gqa1X0Uzk9fhYDEEbezeQXjXkRic9xkmTCzB3lVr8MvuDbi+ezVOSVxx YsU8HF+xACc4r37ZHPy6vEQrK0qlzNXKch5LcGrFYpxetg7nlm7EmcUSi67Y iqPrp+DXPRm4stcbF7m28G7Og/CX4qfmQ6ixXrt81NzvK9vCpA7nWHDsmE9l qdgpn+3wRcV2L1SUu6BitzPO726Lq18H4fL33XDoQDLCe4XAxjkUi9e1w7xF /vhkakeMfT8A7xTY4v1ScxTMscbssuZYtdwW3651wpHNnvhpixd+2eyBUzvc pT0fNVfj0PahOLHlI1w48BJuneqMnw+1Q9natuj/kQ0Cs8zgElYPNn7V0dKz JlqHmcI51QYuCXymEgjHYEd15LmLfO7Q0VTVY33ex/vZDttju2yf/bC/Q9vf VP3TDtpDu2gf7aS9tJv20w/6Q7/oH/2kv/Sb/hMH4kFciA9xIl4KN8FP4Ug8 q+BLvIm7wn+7v8YHx4yRH8WTv8ab8EceySd5Jb/kmXyTd/JPHWh60JfSSs1Q P9SR0pPoivqizqg36o76ow6pR+qS+qROqVfqlvqljqln6lrpW3ROvVP399TY pGcPc9E/f8kc1gudu3TGGy/1Rz/dGKrnLS+ptYJz0aFrO7Tyc0ZMtyi83q8v BvTq/Zxt9UL/3v3Qt08/5OZ3R3p2GtLSU5CakoDI5GiERYejQ3AgvLoGYOSi Mfjl1GFcun4el2+ex4Zdm7H70D4MHjkM/fPy8Hr//ni9T1+8KrG4GuMktvXP z1d2aOXhvl/u1Qt53TORnZWq9lDMz+Mayz3RM7e7lJy/ld49ctErKxup2Uno UTAYJ2+cxpmrJ3VrGXOS6m+PHwumm2+i9ic5fhRLt6zBnsP7cfZKBebt2qqO POfnvK6fp48qe00+3KY2t+WniqOq/5M3Til7aBfto52Ps59+0T/6SX/pN/0n DlVx6VcFM+JHHIkncSW+xJl4E3fiTx7IB3khP+SJfJE38kceySd5Jb/kua9w Tt4V/8/QCO2gnqgr6os6o96oO+rvn+iVbVHnncM7Kd1X/R780xfHyvx24wp+ 2TsLX81Yii+7x2B0h36YbBqKTxtFYKxhLKaYxGOyeSKmWaVKScRsqwQUePRB H59JSGg+E8kNxiC90Wikmo5BauPPn15MpTQZi1SzcUgzn4h0rjfVeBwyGk1E JmOaxoVIrzcBGU1KkWE+D+n1JyKl0XRkNilERr1ZyDCcgtim05HlOx6T3DmW IgYTzVMw2SwRBY1SMKZxJkZb5mC0c67Es2kYH5qBL0PbYm93G6zs6IuFxlyP uD0WWbbT1gGz0t4/vvAax1O1V3vGL7TgPpJcrzhWPg/SXX/MPdIm1/1aahmM uc3iMMM+F8W2YqtbOmaZp6kjz/k5r7Me62u2PKFN6Y/9sn/aQXsW6+x7/D26 wnn4eh+5XoD4TxyIB3EhPsSJeBE34kcciSdxJb7EOctnvMI9o84UxQP5IC/k hzyRL/JG/sgj+SSv5Jc8pwnfinfTZ+hDaUTTE3VFfVFn1Bt1N91K0yH1SF1S n9Qp9UrdUr/UMfVMXd9/dC7+v/HiN+v04e9R/va7mOuYhZmSN+6w8MV2l2BU eFihoqEZbprVx+81+Xt1fVyvbYRrNY1x2bChOr9bqxauNWqAC83MsM/FC5sc Q1DSLBElxhJjVk9C6Ysc/9UVC6WU1onA3DqSY1aPQJlRLH71MMf1F2vgdo2a uNPAEMfcbfGFUwKmGXTH3JopKK6RhuLqadqR+xJWHrlHIedrJ6k93hfViUOR cTpmm2Th0zavYHCDEXjVeRSi6pQhtsFcxDcpRoxBKVLsC/FqxqdYEROHXW38 Mb1dNsab90NxHWnLNBUzTSUPapiHyfV7Ymr17phpkIligzSUvJiCBQbxKGqS hnTXSYhuOEetJzy00wh80GIQ+tuMRlTtuWoMFfeq18o0deS4ru4GE9GpwQK4 um9CSLPlcPHahITqY9WR565um9R11mP9qvezsN1oaZ/9sL+hnd5X/dMO2kO7 aB/tpL0zDTKU/coP8Yd+0T/6SX/pN/0nDsQjWXAhPsSJeBE34kcciSdxJb7E mXgTd+JfyUVVfnR8kT/ySD7JK/klz+SbvJN/6oB6oC6oD+qEeqFuqB/qiHqi rqgv6ox6o+6oP+qQeuQ59UmdUq/ULfVLHVPP1DX1TZ3/078k+r3yxs3YjCZq r8h34eD2LpzcRsLZ9TO4tvoU7s3eh4fFMHhxb3PzN3VrgknsZzQItvUGwa7R IHi1GCJ/Yydi7NRFKN/8BSoOrkPF11txYtNqHN+wHr+uXqLbs74Mp9Q+KxJ3 rlqIcyvW4fTybTizYiVOrVxYOWfh1PJF+HnFapzc0V3iXY8qaxnr53pz3rcv ru2NkWsRVdbS1eban9vO+SyeuLjPD1cPSjx98GWc3D8UX2+aik2zZuPdcdNR 9mUCyhbbYNtqe7w90hJDh1hiUnErlC8JxLH1cTi/oxNu7WuL2/vb4ca+EFzl PPs93L+9LS5zr5EdbXF+ezAufxOKWydjceTwIsxbth6ZH02AW549WocYws6/ PlyD6sErxAg+kZbwym6FNlmt0TrAGOnvtkXMED9YubRQxww5d5DPeZ31VH25 j/ezHbbHdtk++2F/7Jf90w7aQ7toH+2kvbSb9tMP+kO/6B/9pL/0m/4TB+JB XDYLPsSJeBE3hd8+P4Unca1QXOh58FX4k4cKxUHVa9qaxuSPPJJP8qqfy0S+ yTv5pw4U/9SFbq499ULdUD/UEfVEXVFf1Bn1Rt1Rf9Qh9UhdqrXCRKfUK3VL /VLH1LOT2pvlXaVz6n1c4eaHvgdPe/2p9hH7C6t2roO1VytkZaerudB5j+wV +LSi1e0usWdPpGYmo1VbV7SWki6xcL/ePXVznLMf7NtY9V6Jm3N7aPOte+jW Oub6Vdk5GciUuLa7HPvk56F7fg7W7lmt1hG4frUCP1/+GSv3bcDmXeXYcmw/ Mj95CS4ergju3A7BcWGI7haJtLQUaUebd99XN++e69mqfUR08+7VfHuJ19My kh/eB0TNSa+y1jLzFDnPSU9Dzhv5+GjlFFz87bzC8PL1czj00wHo1xWuOi/+ /j392sb3cfrSaazc/hXW79mGq7e4jvs9XLt1BQt2blZHnvNzXmc91td+z7yr tfO3+fZ/4NDRb1T/fNEe2kX7aCftVXPtK/3K0/n1YN8b+k3/9XwTFzW3XTfP vq9unj1xJJ7ElfgSZ+JN3Ik/eSAf5IX8kCfyRd4Ufzo+ySv5zddpQa23oPjP f1hXuXptaWsiUEfUE3VFfVFn1Bt1l/ecOtXzTX1T59T7qp3rlf7//Afz7fn7 8n21ZvHjfhDgmmC3UbF9CjasXIctbw7HhLgeKGiRjs/NuuJToxRMbJiCKU2S 5O9cJj4MGokMvxLEWs6WOHOctreKhW79J4u/FzWf2mJS5fpQSebaesdJleuB cX+WSUi1nCznk5DSZBLSrMuQbLoQycaFcv0LZFgvQaJRMdK9puGDkPdRZJWF iVzjqnkGptmka/PuzbuhwCIFU02S8blPPpK7TER+yMeYHxSBJU24P2PHR9bR emR9MP26XPJ5mWUS5jeNkvfMdTpjkVnUw+sK69fk0q09zHW/5jePxsxWuSi0 z5Z8IQxzHCMx2yEOZY1j1ZHnX1h1UtdZj/WX6NdVfowt7E/1K/3TDtpDu/Tr Hf/d9irz7ZWfHZXf9J84EA/iQnyIE/FSuNloOBJP4kp8iTPxJu7EX/EgfJAX 8kOeyFeymis/XvGYZKFf463KemH6+fSP0UWlXrhHi+iIeqKuqC/qjHqj7qg/ 6pB6pC6pT+qUeqVuH7tWmOj8vlrr+J+vofeX2pNV/yW5jzu3r+LbaQtQ7NEL kyVXKqkei6KWadjRJgibmgfjlwBbXGjUBFcsGuD3erXU3hpXDI1xrTrn3Rvh Vs06uGFaHxcsTHHIwxlb7YMxz0FylwYpmGnIvTO6qbnVC1+MxCzjVGxuFYDb 9avhgkldiT/rqt/EL7nWQ6mz5CwS986pH6/WnJpZLxmzdesZc91crqE7u1aG 2vdjtmEmZtXIVPEy51HMNkhX/U13ycWyEMll4hIwLykJW93aY9bLeShLzEBh ban/YoqKu0skNi6SvmZW0+apFzNPqpWMYvZVj/2ko7R2EkZJTpnpPBHxL8xR +0MmvTADXY0WYrTj61hkG4OCoB5IdZyG5BdEPzUK1R71zD0iJf73kLzEw2E9 UmpOR3ubpQiyX4E8gw/Vkef8nNdZj/V5H+9nO2yP7bJ99sP+2C/7px20h3bR PtpJe2k37Vd+iD/0i/7RT/qr8g3xnzgQD+JCfIgT8SJu011zFY4KT8GV+BJn 4q1wF/y1tYx160zLkTyRL/JG/sgj+VTP6oRf8ky+yTv5pw6oB+pC6UP6o16o G+qHOqKeqCvqizqj3qg76o86pB6pS+qTOqVeqVvqlzqmnqlrbV806Na0v/ek r8TfXn/q1nFdvnM/bByGwMn1vUf2h3wfjq4fw8nhU7g2H6ntX1+5LyTXNH4T Hubc93woWtV9Ay3NJbdpNxrdX/0cCxcV4cSB5Tj3reQsu9bgJ4kr9Gsan5TY 9PzSNahYtk7ec72wqvtELtDWM14+Hz+tWoETe+NwaVebR9bKbav9xr8nHlf2 J+C8vFdr7ErMfm2vN24fCsDpg3k4uGkU5s+cgQ8GTkVuwjj4Or6LZg1HoH2v tpg10xrDBtqifUcTtO/aAKf3+QMHQnBtfwCu7w1Bxe4knN0VLm37qrWBK3b6 6/ZhCcC5vaG49kMkrp+Owf9h7z3gq6qy9n+kSO8tCb0F0gukUUISQicJCemB 0JtlnBkLFrD3ghRBSkLvVUR0dBBQEVCsYKN3qUqVDs9vf/e5NwREx3Gc9535 /9/j53wu99xz9l7reZ5r1rq7rG+2tdOriwOUeE8V1encTFVDu6ppXE01jyuv 5rEVFNK+moIzGyuwZxO1SPSST4tS6n5bU01ak6vA9tXl3aqZgsw9vOc6n3Nf YE9v+xzP0w7t0S7t0w/90S/9Ywf2YJfNKex4SKRrD+Zw6wf+4Bf+4Sf+4jf+ gwN4gAv4gFPflNEWt3n5eRZH8ARX8AVn8AZ38IcHy8cNHMEb/MEjfDr7GReu szPH8o8O0AO6KNjL2OgF3aAfdISe0BX6QmfoDd2hP3QY5NrL2NaRNDpFr+gW /aLjwvUj0Tl6R/eFvwe/+vfEFXCduPCjkvqlKbBNuIYOGvC7a6+wnxRxZHxS e9Vt0USt+Q18oFO38fqaGU5e0L//wEJ7215fe4Vrffr2VHJKooaPeUzUf796 8ay1d+ueb7T/6E5t2bNN5y6e0psb/q7EHolKSksw8XR7tY5ro7DoMPl2jLy2 r3FSvLqwr3FGmolXr+1rTB1C9tolTndqIvaxcbCNo02MTw2QAb1zldUzS8NG PaRFHy/TyXMmv7hKfvKTrYey3sTsl6h37xpPcfKW8xbh02dPaNWna7XsvXe0 69BuOXuFndepMyd0/sIpzV272r7y/qp95oq9j/t5juedwOH8tXzI9EN/9Ev/ V23Nl4vWLuzDTuzFbuzHD/zBr4H9+hT4it+3FdrHGFzAB5zA69o+xpEWT3AF X3AGb3AHf3iAD3ixurI8nbe8wR88wufPa7A4vKODG+uHopchtlZlP6sj9ISu 0Bc6+701WNA3OkfvJy4cv+578M8f7pqQl53v281qruiczux4Xx/+fZ5W3feY 8rPS9XKT3hpVM14jy3XVqDr9dE/ki+rebJEyao536qLcuHdxQVz6a7U5brav 8Whl1TC5kOdUpdcwcYlXvm0no8YYZVWfogTfNzQ8YoSm1u2lCXXu1YRaQzW+ Wi+Nq3+78rz6a2JIT/VuMUpplV5V92qTlN3uBU2K72Zi9zYFexS785aFda7f Q5g9uxZ4pZr8oaurjomTByypm2lyjbjrcoOFrtr0C+p0UH7jnprk3U9z6yfY sZN5dc3fImpGesVpume6feU91/mc+7if53h+cUFNyEJ91HL1W3CtrbUL+xbV vmFv5ev2Mnb2PsZf/MZ/cAAPcAEfcAIvcAM/cARPcAVfcAZvcLf4w4PhA17g 57fuY/yrWjB6QTfoBx2hJ3Rl9WV0ht7QHfpDh+gRXd6sFstlVy2WP7KWpN33 u9Cfo8tXftT2OTP0RmsTm5ZM1qQi3ZRn4sn51Uxc6ZWjt8Pj9F6tNtoU5adj njV0tEZVnatSWmeKl7Ex5akS5XSqSFmdYd+vGtW0I7Ch1nq3tDXOp1U2+YaJ VfOLZGmVf4xOVq+oH26toh/LOrVXThYrqxO+VTTHL1V5JXJM/JuqKeVTNK1M D01hb+OKycoz8fDU0qkmTuZaD01lP10Tj79avY+WhCZrQ3MTP3l56FSNCrpQ pKRUpIi2ZoYqNyhPXcrN1Z/Dn9XdtZ/Sc1F/Vl51V80VE2fPuaWH3beX+u3E /TOKmRyoRnc9HH6PunnMua4Gi1N7ZZKtMZ/rP0EjIh9WSu0ZyjB5BHsRp5bM V4smb8k/aLW6Vp2t3CLj1L3UNHmHrTXPTlBG2ZH2lfdc53PuY6yF53iedmiP dmmffuiPfm3/hWqvYB92Yi92T7U1HTOtP/iFf/iJv/iN/+AAHrmBeRYfcAIv cDtUy8PiCJ7gCr7gPMXuYdzD4g8P8AEvlh/DE3zBG/zBI3zCK/zCM3zDO/yj A/SALtAHOkEv6Ab9oCP0hK7QFzpDb+gO/aFD9Igu0Sc6Ra/oFv2iY/dx5Yp+ V917dzp/6uw5hcY9rSbNhpv4rlB9+4JaLI/IJ/BJ+fo/L//Gz8q/zuMFNSMD axIfumpGEi/Wekr1zD0NAocroe8LmjlvmvZ+vkQHNi7W1vWva8cGk4OsW6e9 qzZpz9+WaS9x7Gvu+iuFYllyltcWafuqV3RwY9TParAc3mDyh/fa6ti6djq2 IUJnP4vWyS/C9NGaBI0c9YT6ZY5VZNCTCvC6X3XL/lU1i96lDq1GqtvQGEXH FFOQb1k1rV9CLZqVlJ95ve2vXjr5pYm310bqwFon3j+wLtW8ttPBD5rr0Iet deyLDjq9O1FHD3TR+5+10gPjG6tVz6pq3KqcfKNMThFbVmEdSpi4pZxC4qoo JKWugnKbKrh7XTU3eYF/ZBmFZFTX6m2DNGxMGzUMK6OAdoH2ddiYaHudz7mv ebsq9jmepx3ao13apx/6o1/6xw7swS7sw07sxe7D6+Jdfjh+4R9+4q+fy39w AI82BhfwASfwAjfwA0fwBFfwBWfwBnfwhwf4+FntFcMb/MHjtdorrpz0ddc4 iuF/z9vLrB7QBfpAJ+gF3aAfdISe0BX6QmfoDd1Z/RXUinzc6hOdold06665 4tY0+kbn6B3dF/4e/KPDPW8/b9F0BUQGqUNy199dS9z9OzYxJfvWBseEqWGk r1IykmwdjYF2HCXXVXNj0M/ylBvPwea+nD45WrlpjY3LqS+768hObdhKTnZe H+743DhwSft+3KFBtw3UkP7MPxtof48fPLCv+vTppZzsbCWnJti6h607UDcy Un4dohTULtLWR2zT1cTlCW3VvUc39erV81pt9yGDjM1/Up+eJm+6o7+m/m2q 1m5Zq+OnjxXUbbzqqrHy1fZNOnbye4P5BV295N6/+Jw++e5zLVnzlt2n2KkD edleP/XTKV0y9xWuF8l7rvO5M3fsgn2O52nHuX7Ftk8/9Ee/9O/Ui3TGcrBv 7Xdrrb3Yjf34gT/4hX/4ib/4jf/gAB7gAj7gBF7gBn7gCJ7gCr7gDN7gDv6W B8MHvMAPPGEPvMHfYDtW9Wva6e3oob9THwadoBd0g37QEXpyxlR6/9N1V9y5 CrpG3+g83+i9sP7/mOMf17S/oDP66av3tem9fL0z6U0t7puu0a3u0HOh/ZQS OEldK09TRoXRymCuV/XRJsZ19ir+52pFvuLEwJ75Sqs5R1nm+czai67Fxvb3 e5MXVRmp5PrjNbTd0xrXNNfEDWkaX6evJtceovE+A9XLz8QyHsuVU3uesiuP U0rFORoQn69FwR21oAbjFvGusRLi/7ZObUhzLqnTXks9UrSoThdXrhJXUKNx Yc2uWly7s/m3MxZi60KanGFGwwxNbtpfM+qnmvcxdn/ixV7RmuSfrlmNOmuR V6zNV3jl/ST/NLtvl73P3M9z9nnTDu3Z/Id+TT+2P9PvtdqVjs3Yh53Y67bd +sFnjMkY/6yfxl/8xn9wAA9wAR9wsngZ3MAPHMETXMHX4uzpzklesTzAB7zA j/v6P8MvekAX6AOdoBd0g37QEXpCV+gLnaG3C/8Jte5NH1cuFa7Fclr7v/pc 7w5+SLMqddPUIl00p0h3zS6SprwyPTXLxInTKmRpSVg3fVgnSutDW+hIk5o6 VLWGztQsp5+KldapomVtncBzpUrpaDVqnNfSOp8IvR1EnttPR2tX0/mSJZ06 GyXL61iZqjpTorQ2BweaHLO/ZhbLdO2dm+3sn0u9lVIZ9rTjLCZWfrVEpmb5 dtfmFj46Uae0TpYrYtdb/3CryZsq36rPM4KV6j1diUWmKbv4q+pBfF/S8Fsp X90rzdaAFmN1r+dTGt7iIeXV66u8KrmaVT5NEzzM35vAl9S99DQ7lpFV/Pp6 kTZvKTLR7i2cVGS6My5yy0S1abhM/hFr1NZzsXPN7hn2qoIj/q72Neebf49X WtmX7V5g8TUXKDjs7/Zz5oBxP8/xPO1k3uJco336oa0bbcAu7MNO7MVu7McP /MEv/MNP/MVv/AcH8AAX8AEn8AK3H8uWsjiCJ7iCLziDtx1XcXNQMus6fuAL 3uAPHuETXuEXnuEb3uEfHaAHdIE+0Al6QTfoBx2hJ3SFvtAZekN36A8dokd0 iT7RKXpFt+7D6vlfrDnM45fNf5m3v6L69R+Ub1ChfOW689qYi2/g0/L1fUH+ jZ5TQK1HTaxoYsfq9zqxY417FNTgafn4v6j6jYerrt9wpQ4aqbfenGPrle/a sETbP1yrnR+9bc43tZtxl3dWaI+tI+nOW5y4dt/rc7T7NXKcoSY2Din4/d6u 2TD/Pvtea50zcfpOExvPmtpQPYe2kl+zZ9So8oNqXI7f3+9T04omtm06XK8+ PU0zlqQoOr6oQhuVUoTfrYoMKK0WgeUVEVhRAb7l9NgzTfTjpmhd+CJGJz9p rVOfxuj0Zz11YWeqfjiUrO+2t9PUFQHq+ZCngrpWVOPIsgpoXd7kFpUU0r6S gmLLKahtBQVSH7JXUwWlNTB5RlU1j6sgv5blFJxZTcvXJ2vL9qGK7uUh/9YV 5RPjZ195v2X7EPN5d3sf9/Mcz9MO7dEu7dMP/dEv/WMH9mAX9mEn9mI39p/8 1PEHv/APP/EXv/EfHMADXMAHnMAL3MAPHMETXMEXnMEb3MEfHg7Z2jeR18ZW DF/wBn/7rhs/c9VWMXzDO/yjA/SALtAHOkEv6Ab9oCP0hK7Ql5Oj3Gt1h/7Q IXpElzeOpdx4om90jt7R/T/z9XHHazuP7FfPAb1Mzhhs5+7w+/vviQvdv427 Y87uaYmqH95UobHhNlamLmHffibudI2h/GqM2ae3Bg/pp73Htlobz577Qe9+ vlInzx7R8RPf65Mtn4lv+sUrZ3XPc8PVx8TWtl6Ka44aNji1OwYU1ER0x+w9 e+YoLS1ZHXp0tvvuNo8MVnC8E7O3bBul1vHmmrk+5LG7TJ7yvr7YssHkE0dd qLG/J79NusZDju7QN3u/dn12SVv37dAyk2es/fJjnb/oqnPJuIs5WS/v1IY8 b+L605r74Wr7ynuu8/lV99wv8xzP0w7t0a77N1H6o19nHPq867qz7yh2Yi92 Yz9+4A9+4R9+4i9+4z84gEdBruaqpQluzphTX6c+o63N0tfiDN4Xrzjrcj75 7jPLB7zADzxxwBv8weM/zFdsLZ6Btm/sQC/oBv24c93fM6bizqPxA11bfRud 7zqy/zr9/9sO135JBXUlbziu6CedPmPitvWTtHLh25r48GPq0m2BelQbqcSm k5VQ3cS0lU2cWmOsMqpRz9w1b+zXYtqaY0wc+6qya5iYyWu8ibPHK6vKVGXW ekVpN/xWT8yb4DFZvVqM0dioXLsedXyTdGWFj1NSzcnKNrF2ak3GZF5Vrtd0 da67VMPD7tGbHola2LCXFlc3uYtnNy2xeUZHk0PEa5lHspbWM7lKnTbX6sST D1DPsW6SeZ+kRbVaa0mtGM1u0F0TvPtpaiPqQ8bbeV0LmMNF7ciGnTQpIF1L PLnWTtM90u0r7ycFptvPuY/7nflg8bYd2qPdJXaNTWunP/rlnjrO+Irz7zbW TuzFbuzHD/zBL/zDT/zFb/wHB/AAF/ABJ/ACN/ADR/AE18LjIOCeafKMrCrT LB/wAj/wBF+/yqfhG97hHx2gB3SBPtAJekE36AcdoSd09TOtuetA/oN9i/7t x81q3X+7Xh/fdZ/mNkpXfpHOJk7spnnFemhuyRQTN6Yovyg1yzM0u1yqZgak aV3TSL3XtJUOhNTWoSo1dcKjos6XKKkzRUrrAusYKpbXgYa1tCEpTO83aKV9 AXV0rLqJWyuafOOW8jpfvqSWBnaxtULYR3eaiZGnEycTH5d0ajnyPr9YTy3w TtfxZiZHMnEuNTp+KF/J1ug4Xb6UPkoMVWoA+YT5rtxqviulxyu1vPn+lTTf 11uo0/iKidvHq0uJGUqpOlUZpfOV4D9LzyTcrgcyRqh9jWXKKTdJieVn2b1+ qS9P3RO7vqTYRKWXmGzrOjI+0rHGPPO3fo1aNV1ur5NnpBXPU/YtE9TZY66C 275rc5R0aj2WHmlfGUMJjnnXfm7rrpj7eY7naYf2aDe3yCu2H9tfsYm2f+zA HuzCPuzEXuzGfvzAH/zCvx5FHH+t38Z/cACPHIML+IATeIEb+IGjra1jcAVf cAZvh4ds1+nixfKTafmCN/iDR/iEV/iFZ/iGd/hHB+gBXaAPdIJe0A36QUfo CV2hL3SG3tAd+kOH6BFdos8/qqb9jYe7tvfLM95V9XqsYXn0F/IVzkeu5S0B 5jXwcRMjPis/H5O3NHpW/uQuzBmrdrf8PUco0MSYvkFPqF7DB9U0/FHd//R4 ffvRUh3Z+JG2rVuiHesXmph2iYlV39CudX/X7pXMCVqovctc8S11BV9boG3v 5OuArXPv1FanLuJ5E3dv+nt7Pf5EA7XvVEFNfUurVo3bFVTlIQV7DlNorQfl XekedYl6RJ8vna83VqSrefStCvY2+UVULUW0rG3iEBPvt/VSSHx9RcTVl1/b Wsq6z1tT34rShs+7aNPGrnpzZZry56fp7uENFdWjppq0ri3/lnUUGlNNoR04 qyo4rrxCosurRecGCusVrqCcJgruUFPB0SbnaF9BPlHlFdazmlatj9eR7YM0 b2UHBcSb/CW2sppG+9lX3nP96PaB9j7u5zmepx3ao13apx/6o1/6t3YYe7AL +7ATe7H7zZWp1g/8wS/8w0/8xW/8bx5Z2cHD4BLsXcHi9Mab6Ra3rgY/cARP cAVfcAZvcAd/eIAPeIEfeIIveIM/Z87fPIdXwy88wze8wz86QA/oAn2gE/SC btAPOrJ6MrpCX+gMvaE79IcOrR4L8pRfyrkftvpG5+i9sP5/6+GO2cbNnKR2 nduZfDJKQwf2/11jLDfmLUMHOmMdLTu2Vt0W3urQvbNuG3Kb/c39V+PP/uZ5 E+cOHTpAx3505lGt37JRh44fsP/f2HrkO326a7PdS+uqLmj6wnxlZ2TYOoI3 Hfdxr4tw5VKDTNzt1HYfqKHMjeqbo4HGzt65vZScmKgOud30+MIXtXLz+1q1 brXWbF2vr7Z/rm+3bdaWo9uNHXt15vQx/WT3/TquHQe2aM+xvXp97d/0tw1r dPTkYTmbHpwvVJv+vGtsxZk7xh5gNl9h3zDmeJnrfG7nkrH+5bJr/b5ph/Zo l/bph/4unD9u+8cO7MEu7MNO7MVu7McP/MEv/LN+Gn/x+zbLT3+Lx8B+fQsw cmP2szEvgy84g/dV115m8AAf2Ak/8ARf8AZ/8GhrVv6KTtADukAf6AS9oBv0 83vzlOvmgRkf0TX6RueFdf8/dzi/Ydv5MZcv6cqlm80hO6pDBs8Vk1/Un9s9 pAfD/6KMhPHq0WCCkn0mqkuNKUqraOJg5hhVc9ZiZ3iNKVQj3cRJ5BgmFs70 yFN3fsvvulBpjWYqtZIT7/aoPs4Zu/F01kpkeow2ce84pYe+ooei71VOK3KV Seb6qGv5DTXUPV9WUpXxGtH2Xr3hE615nvF2ftZSkwssqpeshdUTtKRKgvl3 jhZ7dNOCGiafMPH/kjrm357OOpDFtdtrSc1Eza/fTXlNWKPSR/Prdi40j8uZ k8U6+Ff90zW3XntXTnItX+E9118NSHfW/heai0Y7tEe7tE8/9Ee/9I8d2INd 2Ied2Ivd2I8f+INf+LfC+Pmw8Re/8d+Ns80/DD7gBF7gBn7gmOlagwK+4Aze 4A7+8JDedYHlBX7gKcOzcA451vIJr/ALz/AN7/CPDtADukAf6AS9oJsbpYa+ 0Nm1OvX/iznKTQ/nu3D18tWC9+fP/aAvZs7X4qg+mlqkg6abmHFeiWQtKJ2s ucW6a06xZPub97QiJratlK15zBeqn633mrfWmrpttK1lYx2qXlNHq1WRqhTR Bx4tNa5UH80ub3Tol6APmrXSt82b6XjlytobXEf5lbNtrY9pJbKcOoWls12/ 5Wc51yr31M7mDXSmaGn9UK6yfixbSSdKVtSpcuW0qkMbZfjPNLH4TOWQWxTL N6eJ8YtPMudEZRanLuMkpZYZr6zSY5RdxMTthstefs9rfEPTR5U0Ta6UqTFh fXVnkyd0r8/j6uFjcpqyk5VUiTX8s2x9lMRy0xUcskrBASuVVHq6zUGomWL7 YvzD3OPT7j0lmmeybplka0KSr/DK+8TKM+RrPqctatbzHM/TDu3RLu3Tj+3P 9Ev/2IE92IV92Im92I39+IE/+IV/+Im/+J1hT8dGcAEfcAKv1R1aG/zKWhzB E1zBd2doA4s3uFv84cHwYXkx1+AJvuAN/uARPuEVfuEZvuEd/tEBekAX6AOd oBd0g37QEXpCV+gLnaE3dIf+0OF5+9uba8+7y1cLfZf+uMNd2/uznXvkE8Qc sIfl84v5yg2n3wg1LZS7+AU+Ix/f5xXQ5Dn5135MQR6PyLfxCwoIekrNfIfL s9H96pw+QctfX64jXy7Vtg+XaLvNWxabuHWxiV+X2zh2z9tvas8yV53z5XO1 +/XXzD2DdGR9sH76LFpb14br8acaqVXr+vJuUEqh3rcqrEUVhdTit/f7FVzz XvlUHqb4sCe0dfUbmvdmfzWLN/F9mwZq0b6GAttVddaVxFdScDsn7g+KK2vi 9/LyaVVF3q09FB5VTZGhpRUZXFnN6peRb71ipp/SCg+soKjgCgoLNPdH1FJ4 ZF2FtjNnVhsF5HZQWIK3yS8qKCSWXKWaGkdUUYeBNbTx83bauylVe77rpZcm hqh+S2fOF/kKr7zn+p4tufY+7uc5nqcd2qNd2qcf+qNf+scO7MEu7MNO7MVu 7McP/MEv/MNP/MVv6398ZYsHuIAPODVrX87iBn7gCJ7gCr7gDN7gDv7wAB/w Aj/wBF/wBn/wuMfO+3rTlacst3zDO/yjA/SwfNlyqw90gl7QDfpBR+gJXaEv dObOUZreMN/r106ra/RtdI7eC+v/t39fnLhtx5H9GnT7IEXERik+qePvnhd2 Y6zI6x2DBymL9fitQ9SsdXNl98qw1/oXuudnZ98+6jMwV9uObdHegzv0zS5n /hPnd7u/1vcnD+oya0iunNUbn/9d6b3Snbi7/43rJH79t3fGDHKMPblZmcrt 20tP572gPcd36ezFk/pk6+c6fe6ULpv84afTP+jIj+QF2/TVtk36ZssX2nZy l1Z/s1aDJzxq8oKR2rJ/u9x7gV25VGj9/dVzOnf+lH46d7pgn68b8xVOPuc+ WxOyYN3+Wbn3DKN9+qE/+qV/7MAe7MI+7MRe7P7U2I8f+INf+Ief+GvHov6J MbSB/Z08D5zBG9zBHx7gw80NPMEXvMHfgL6/rI3+Lm2gB3SBPtAJ1wb8mjb+ Cf2hY/SMrtH3jv+psZXfdFybQ3b5ytVCYzBXdPjDdXqza4ry6nXW/IhOejTl T3og9D71S3lOid75Sms2Tp1rT1VKhfHOb+/kLzVGmjh5mrJrTFNGzZfVtdRk DckaqZeG3quubfKV1WCs+jZ5QV0b5yux2mRlVhvtrNM2cXGy56v6U8LDym0z Ssm1X7VtFo6lM8193StM0GMZf9VrgW20wCPWlSswhtHR5BE9tLhuR3PNlRfU 7qLFJi+YX7OLFtXooqUNsrWkVqqm1M7WuCaMgSSa921t/uGeM8YcriVe0Zre JFFTfLrbmo3OPK1r+QrvuZ5vPp/eJMHOG7u2zj7Otke7tE8/9Ee/9I8d2INd 2Ied2Ivd2I8f1h/WsRj/8PNR4y9+Z3pdnxOCDziBF7iBHzhaPA2u4NutSb7F G9zBHx6GZDm8wA88OetZRlr+aBM+4RV+4Rm+4R3+0QF6QBfow73OF92gn/+x uV1/8HHjGhfqhe9YMl9v9X9aU0p2NTFkV80pmqJ5pVM1pxS/g3fXvKJJml3U xJu3dNeMIqnKK5ujuVWSNbV6jlZEdNDHXmGaFZemqdWyNcfEqZOLsgYhR7Mq pGpG3XStC4zQ2NQhGu8xSLOqZmhe8RTNKJ6h6az9LpWj6SUzNdrrdh0s76mT pcs7uUqp8jpZoYKWtemq9ObT1f0WcpUJJiZ35k7d7MwqOlmpRfLV1WO6RoTd r+nVnBqI00w/01ivXiJFc4yPs2skaWKVHL3ql617Q+7TfXVHqGPsbDXxfV9d qs21+QW5SeqtU239RdpmrCQmYLEiw1+39R/Ti+ddl6+k2/GUCYqMWG7v436e 43naoT3apX36oT/6pX/swB7swj7sxN5prr0H8AN/8CvVrr35ZQzAB5zAC9xe j+5icQRPcAXfg+U8Ld7gbvG3+7Q5vMAPPMEXvMEfPMInvMIvPMM3vMM/OkAP 6AJ9oBP0gm7QDzqyejK6Ql/oDL2hu8L16n/v2pTfrH3X60XTR1jXZ9XEe7h8 An/59+lfy10Kxl6CHpdPwBPOnkyNn5S/z3j5Bo1VYODDatx0nJq1HK+XXnlF B75cpt3rFpt4dZGJXU3esm6xfWV+0J4P3tWeFSbeXTZb+15boq2rRuvU5igt mumn2E4V5NP4VkXVNzG6bymF+xdX88DK8qv1kAK9HlaI9wuqX/sJPT91mV5+ s6cax5dWcNvKrji9gonTzRnLWdF5bWfyi/gaCm1bW+HhNRThV1YtfEwe5FtS Lf1rqGXTiooIpp9bFR5Q2uQGJsYPrKbQSE+FZZj8ZGCgWvQIVUhMNQW1LWPa qqzQDiVVsXmWku/K1datrfXDZx21ZkMfHd6aqL6PmnwggvzIyVd45T3XD5nP uY/7eY7naYf2aNe2b/qhP/qlf+zAHuzCPuzEXuzGfvzAH/zCP/zEX/y+DgeD C/iAE3iB20iDHziCJ7iCLziDN7iDPzzAB7zADzzBF7zBHzzCJ7wW5hne4R8d oAd0gT7QCXqxujH6QUfoCV0VjKH8xhzlunzF6Bp9o/OLru/U7/lL5c5xprw+ SxnpqfJvE2Ji2n9tXtjPfkPn9/whQxTfvYvqNje5OfOtbroe/1p8zFqLiStm 6su9X5m/x2d19TJ1mM7pkx2f6tw54njmZF/S4ZO71XtIb2VmpapX72xjc659 fuCvxd8DnPli/Xr2Ukp6sv7y5L1atWmVae+sDp34Xms2f6iz5Bf2x0r3XsXX 5oCf00kNX2A4HZalh6e9oE+3feLKTS44a+AL7xVmzpNnTtgY371m/mf5ir3v rOu+c7p+TzDXXmPm3/RDf/RL/9hx7X9+FwrteXzV2o8fh40/+LXqy1XWT/zF bzvfa8Av53cDXTyAJ7iCLziDt5OfXNC5s2ctH/ACP/AEX/AGfzfLHwuvp0cH 6AFdoA908q+OqbhzUfxDx+gZXaPvwnr/zztcvzm7zDt37ow+ffhxza7VXktv DdGb3q00N6C95vh11kupfUxc8YD+3H2EuoZMU7q3iYnrzTXx7lyleo1XUsAk 3RH3pB7s9Ix6ZzyvtlGLldNtrEY90FdPdL9Nfwl7QF188pVa+RUl15mgIR0f U17dFE1okK5h7e5XYgOTE1UlNnfmKzFekFAtT8ND79UbjVtqvlc7u35kfu1u mueV5qyxt2vXY1w5RowWMAesdhstMTnBzIYZmtRkgGbUNHmBZ4oW14px3X/9 nl6sd58YknnD/mGF8pVCe4px34I6N+4JFmfbpX36oT/6pX/swJ4Fdt5ZjGt+ mGMH9uMH/li/jH/4ib/4nelaHw8e4AI+4ARe4AZ+4Aie4Aq+4Aze4A7+8PBA p2ctL0n+kyxP8AVvlj/DI3zCK/zCM3zDO/yjA/Rw7ty1Glv/jt98/9cOu8bl +tjw4OaNWnPbCM2qnqApReI1u0iS5pXsobkm3pxza7I9bf5S3MTVJh6dU6y7 ZjGHrHi28j176oivl74Jb6b36rTRqjCT59Y0+Uu5FE0qnqNHQx5UQu15usPn RT3Y5GGjk34m7s0xcWyK/T1/UtU++t7DQ8fLODH1iSqVtSg8RdkRk5RSYpqy i7pzhJvE6cWZyzXZxOgmlvcfpaf97tK8W03+VDxLU0tlX5t7Zv49pVRPTTH2 zCxqYvRb0vVqeZO3hGdqYPRztva8XRtv2kwsM0OPRT6g+6s/qkRi/9KT1Tx7 uck/8p018jZnuJav8J7r5Cfcx/08x/O0Q3u0S/v0Q3/0S//YgT3YhX12vMM1 Rwv78QN/8Av/rJ+3OH7fNGdh7prBK7nEdIsfOIInuILv954eFm9wB394gA94 gR94gi94gz94hE94hV94hm94h390gB7Qhc1P3FohTzH6QUfoCV2hL3RW+HDG v//93yt64O+Rydj118fmq1bdYfIL/h35yk1yF377trlPwKMm3nxaAeyTHDRd /v6z1MD7CfV7cJy2fvaG9n+6QlvXL3X95r5I29fPN/82OcyGv2nPO8u1b8ls 7f37XA1/MVgB3kUV3KSMIkMqKNK3hsKb11NYZC2FtK6iBm3+qiD/l1SvwQj5 dXxBrV9MkHd0cYXGVFJIOxOTx1Uyp/vVnadUV/OY2mrRoobCTDwf5ldSYeQk nP4lFOnvZfpqoIigsmoe5il/c59fay+17d9IcU8GqvmgZia291ZYWw8FtSur 0PaVFRxdXo3aVFb/x6do77cv6uRnwVr/YR999VGGvt8cq9YDPO0+xcGu8RVe ec91Puc+7uc5nqcd2qNd2qcf+qNf+scO7MEu7MNO7MVu7MePAp/wj3yM+2LI W6q5xpgquLBx8AEvcAM/cARPcAVfcAZvcAd/eIAPeIEfeIIveIM/eIRPy+v6 RZZn+La8G/7RAXpAF+gDnaAXqxujn6b/Qo5S+ETX6Budo3d0/3u+YfY3XnOe OH9C9z4xTJ0SOhvMIkw8+a/PC7sWP+bavWuJSd3r8RtE+JrYufB6/Gt9EWv2 ys5SZEY7/XDuoDHykl3bcf7sSW3csVFXzHtduWjrlFzRRT0y7mnlZmYot0+O /Y2+Z69M0487b+l7XbuME/TJybE1Qe5+9D4tW7dch8/st//32H14l9777mNd ZN6WLuvSpfOuGirO39FjZw/q6XnjVKdHG6W8eK8+2vGxjp06pKOnj+j9zR/Y /b6u29/Yjpuc0jlXXnL1F/IV93Xu4/7r9hsz7dEu7dMP/X20/WPbP3ZgD3Y5 xxVrr7Wb9T3GD/zBL/zDT/zFb/wHB/AAl2t5ijNOBX7gCJ7gCr7gDN5OfZiL loeN2zdaXhwfLlm+4A3+Crfbv9DaJniHf/d6enTh7G2c+8fozeZE/a2O0TO6 Rt9urf+nH9fm+F/Vwa8+1ZtDntD08i21sFqMltYxZ9XWWlE7UosC4zSjcVdN 7dJDD7Z/VtktJ6v/gOeU1yFdSyOi9Xbdbkoql6esSi8rtYLJTRqM15+iH9CE TmnKS0pRv9YvKCt8rCY1TtV4r0yN88rSFBN/D4+8TymhJv6u6swZy6gxWkkN J+nh+Lv0evUoLagbq3m1Cu0NXCe2UO5wbZyDPbwmNu6nKY0zTR6QbK6ZfKBO Zy1w5TgF+3O5x018kzXd+/pxkxvzFbtWn3EYc19+oXGY6/cnS7P9LLH5R7Lt Hzuw52fjOnXiXM+79mA2NuIffuIvfuM/OIAHuIAPOIEXuIEfOIInuIIvOIM3 uIM/PMAHvMAPPMEXvMEfPMInvMIvPMM3vMM/Org2P+U/YXzw33TYNS7UoLr2 PT39zTp9Onaa5gb3V36RjiauJW9JNfFnDycWLeE6+XfJZM2/JVEzK6Xqs+Ag XShSQmfLldYJz4o6XKWGdkfW13v1WmpNVLSSYmcrtfhUdfJaoM5l56lf07G6 p9ETGttkiCbV6aOv2/rrcpGi+sGjhpYEJKt/q5HqUWqqib0n/WJsnlncqZWS WHGyegeN1tT6vTW7WKqmlHTNNSt57WR9OXttMZYwoUovPdNwiEZ6DdTEqtnK asweXnnOPK4ipl2jn/n1UzSs+HA7vyq+/Xy1bzHXGVspmnfTfIXrjKu0bz5X 7ePn2+fuN8/Pr9/Dtke71g/TD/3RL/1jB/bYMadbnX2eC9uNH/iDX/iHn/hr a7r8Ai70A27gB47gCa7gC87gDe73NHzC8gAf8AI/8ARf8AZ/8Aif8Aq/8Azf 8A7/N2oCnaAXdIN+0BF6QlcFx2WX7v6H/z645/DnL/tQNRveLf/AX1vD8s+c 7rzHGXch7vRt8pQCgyaY2PYF1arxpJJTJ+obE9Meee81fbf6dW1bv0q7N6zR no9Wa+9HK825Toc3fKBnnl6q2kGJahlVRsGtTaweV1tRHVooNL6pgttXVXjH smoU468a3o+pQ8ZIvb7pPo1f0FQNIhkrqKjm8ZXMvcz/qmjj8xDzTKhpo3mE iecDyinMt4TC/Usp3MTz4f7MAyuv8NBqCg8LVUALLzVpWVOhnaup258b6O45 LdRzfKCiUhsqJMTkO2Ee1obm8RXl07KCArpXUP5rYTr42XrtXHuPdnzYSm9v GKbTH7fShk/bKaRjFQXZ8QzX+hXzynuu8zn3cT/P7Vx7t7437eQvDbPt0j79 2P5Mv/SPHdiDXdiHndiL3diPH9Yf45fjXynrL37jPziAh81byFMMTuAFbuA3 fmFTiye4gi84gzc2gD88wAe8wA88wRe8wR88wie8wi88wze8wz86QA+BQROt Ppz8pPCa+X8xf3avXTG6Rt/ovLDuf8/h/s158/6dGnTbAIXHRCo+qdMfMi/M OZn/w1p7Z99gZz2+iVnDfRRiYtZ+/QrtAWXn8fRX87goRXdqr7wVs+WsB7mk Az/s0Tc7N7tsvmBCZue3xgUr5iszK8PGqPSXm5ujbBNnM/epr2mb3+2pmdgr K0vZvbJs/Prm+jd1/MJh87+nM6bpU9p+YIs+3LrRxPo/2bGCgthAF7T1++/0 9PRRqt0xQtW6RGjBe0vsZ1/u3KQTp47Yuw6eOKi1X6+7LmehrVM/nbxWP/JX xlfcn3G/Y8O1XIV2aZ9+6I9+rd/GDuzBLuzDzqsFewFdtX7QFn7hH37iL37j PziAB7iADziBF7iBHziCJ7iCLzhb7A3u4M8BH/ACP/QJX/AGf/Do5hR+4Rm+ 4R3+nVy1j9VFf1vP8g8YWymYB9bJ6hg9o+vCOv/vOK4Wqmd5WV/PnqsFIcma XaGlFpl4em7d9lpYJUZv1QnXxLD++lPs0+rhN0696oxUQsAk3ZP4rO4OeELd EvOU3HiSUnxfVbfq+epq4pSkRhM0MOoFvfjSXZqcmqoXK/bVOM9MTaiVrvF1 TPxds4dejuqt3DDW5Ocps9IopbWYoDkRXbTYgzGKBM2tda2OybVaLDEml2hT sI4k37uP5tfrYtfEL/JKNp93cNVjuX5PYeozzq3foWBdSuFaKr80vsIeYc46 lw5OfcdCeykvsnspR9v+6Jf+sQN7CtbNGDvdtWIWFOzRHGf9wj/8xF/8xv+E mnkWj1EGF/ABJ/ACN/DLA0eDJ7iCLziDN7iDf1fDw90Bj1te4Aee4Ave4A8e 4RNe4Ree4RvenXmm7vqm/00a/tcOO95Y6M/ahUsn9JXB47VWuZpaJN6uOZhb LFnzbN6SUhCjzrvVxKXFsvR+w9Y6W7WMjpaqouO2BmB5nSpWTmeLl9KF+qX0 RouuGtN0qO73fUTD6j6uDN88da44Tyl1Z6hbk3m6L+5ZfdveV28Hd1LftiOV VGK6E5PfYvKHEj/PWbKYb2U+71LTmf81o3KmrUcytXT2z/IUXqnDOLlsjp5v OEgvNB6kSRXYmypVI4P6q0d5Zw2+HZ8weQf7dM336KEHgx5R5womXxmy0H6e UmaaskpNvGm+wnU+5774wQvtcw8GPmLbyXbnOdhuPqe/l02/9I8d2INd2Ied he0u8MP4hX/4ib/4jf9ZN8lVwAvcwA8cwRNcwRecwRvcO1eab3mAD3iBH3iC L3iDP3iET3iFX3iGb3i/lqekWF2gD2dtSrzVDfpBR9c09u+d8/WPDvffpG/2 7JFv6CNq6mviu4A/Il+54TS8BzQaIT/aD3rUxKfPqqHXk4qJfl6r587WD28t 0c6l87Vv+WLte2Ox9prz0JuL9dHiRWoeOVEN2wxUUGeTd5BzxJtYO76qWsQ0 VECb8moUUV6RPctr+LT79cW2F3V0b2sd2hujl+f5KTS5ihpFlZdPZFkFxlRU SKyHwiI97fyoiGbFFO5r4vgAE6cHmJzBxPhBJgdoEl5T3m28TezvrfR7PPTQ uKZ64e0oTd0Yo8wnvOXf1uQCIdUU5ldaLVizbuL7xpHl1HlwDa36PEpn9qVq 8+pJ2rextd7+4EF99UGCTm9ppVfeGK1qcekK7lBSwbFVXevtq9r31eIy7Ofc t9nc//baB+zzm9dMsu3RLu3TD/3RL/1jB/ZgF/ZhJ/ZiN/bjB/7gF/7hJ/7i d0Sz4hYH8AiJ9bT4gBN4gRv4gSN4giv4gjN4gzv4wwN8wAv8NGwzyPIFb/AH j/AJr/ALz6vnzLa8wz86QA/oIrDRcNc+xH+w9oye0TX6RueFdf/7vzfOd/Zv Jo5Nz06Tf0vXfmH9/4h5Yb1ddTacWozOevwBdg13q06tbY2NDt072fj2zqGD FdMtXhHtonSniXFzemZqyltOzsI4we5jO3X5yiWTn13Q5UunbQ2Nj3d+qt79 mH/EHKd+Nr6m1ntvE2+npyYrMTVBPQf20pPjn9V7jINcJac4q/PUUzHx/Zfb N2rttx/ZWibueOD4heN6/7PVevDlR+XdJVpF/Bqo5wND9P1pZw0E9Ro/2cZv nheduo4mpjh4kpyFuWQnbLsnzhzXRXKqK78xXzH3cT/P8Tzt0N5BWxvysquf i7Zfd71I7MEu7MNO7MXu464aI06ud9H6h5+06/h91uIAHuACPuAEXuAGfuA4 0NbZ7GfxBWfwBneLv+EBPtzjN/AEX/AGf/AIn/AKv/AM3/A+tGAuYG+rixvr sPzueWD9nf3A0C86Rs+F9f3fdlx1FijYf5/89hO9e9cIzfTqqNeqtNT80Hjd k/CsuvsvVlJ1E39UZb09a7xHqUeZmWrbao0mBXXX/BYd9XjybRoWcr9uS31c HRvOVI/ofD3V4nY9EvEXLUrooomRGXqxfj+NrNlb42plaXINE5P79dKA2GfU pU6+/hL/sJY3bKWFngkmnjc5gXs+Fes9WO9OzfjaJoZsmq0J3v01q35311gG 4x+dtLBWiuuZWNeewk7Owt5e5A6TA9M1p1FH19jHr88HW1hoH7HJgRmu3CPe yVXqXKv7Yvsz/dI/dmAPdmEfdi6yfTv7krlzFp7BP/zE37+0e9j6Dw7gAS7g A07gBW7gB47gCa7gC87gDe7zW3TSpMAkw8dqywv8WJ4MX/AGf/AIn/AKv/AM 3/awtVH+O/X7Rxx2jUuh/ZCvXPhBuxbP1t8GPakpZbo5a1wYcyFvKZni/MZe xOQtQck6Uq2aXStxvExFe7Jm4mi5KjpzSxl9FhqsKRVzNM/cO7dKqiZXM3lQ rVyNaP6Q7q/4qBLazFfeoCFaM6SthrV4TH9q9rx6VJiuHmWnKrnIdGcfLWLw 4iYWL+rM/8pm/pfv3fb3/Kklsq7PVVxryWcWd/brHVWnv55uNFTjK/e216YV z9Hcskn6q/fDSiw5q6AmC/lEZoU8Pd/uLiVXnK5ufWcppRHjQgv1XJO79FCb h5RQ3txvcpCMMiPtK++5zuedzX3JjaepW7/Z9vnnTDsZFfIK8iH6oT/6pX/s wB7swj7sxF5rY6nrx4nwDz/xF7+zXfPDwANcwAecwAvcwA8cwRNcwRecwRvc wR8e4ANe4Ofz0CDLF7zBn5tLeIVfeIZvy3tJJ09BD3ZtitEHOkEv6KZAQ5cu /0d8p9xR2yXzr+iM59W48UO/bw3LP8xXHlVQ40fl6/tIwVppv5DH1KjJ4wqI H6VFCxbr+IcrtYO9jdlH6rV5OrR8rlblvSrvGg+qXpNn5dO+qoKiy5q/rc4+ vt7R3ortVVePTm6qTd8Fa/fR27V1T5IObA3Xvm2x+nF/rDZsitCT+U2VOqyh ohIbKSLMxO5BpdU0rLoCWtaST+tqCuxQT5Edayoy01Odh3npr08HKm95J338 eaRmrI9W3kftlL+ujboO9JB3hIfCW9Qw8X4JkytUVqiJ8xu3LqshL9TXjl1x +nFbsg59GK69nyTqw/cGa82aEdq5IUyHv1qh4aOXy7NlkMLiSysorqqx39e+ 8t4zKsh+zn3cv2bNcPs87dAe7dI+/dAf/dK/tcPYg13Yh515H8Vbu7EfP/AH v/APP/EXv/EfHMADXMAHnMBrw+YIix84gie4gi84gze4gz88wAe8wA88wRe8 wR88wie8wi88wze8w797zwZ0gT6a/WHje9dO9Iyu0felgnGAf/1wx3Sz312i 2K7xComJ+N11JH8WS9oakdfmZhVej5/dM0PeLf1NzhhsYuZuJteMtOux7Rwu c2bnZOnpV5/T3DULdObi8cIWizj+rLk29N471Tsjw+65m5Werqze2bZWyEMv P6557yzQV99vNvG5k0f89NMxnTvr1Jb/bucmfbrN2dfqss7ri/3faPqy+brz wT8rtGusyoT4yKdja01eMVPu/YwZW/hmz2btP7rLeX/5rInhz8hZT3PI5AWf 67zJOy5ectVmu+rUfLzq2vfrZ/PBCn3G/RcvnrPP0w7tcY32r7jqvtDvN7s3 u8Y4nP2MsQ87sRe7sR8/8Oeya/9l/Pxup7N3Af6Dg81fDC7gA07gBW7gB47g Ca7ge9Zif1kFNX3NAR/wAj/wNKggd+hjeYRPeIVfeL75evq+hWqI/mtjK+gV 3aJfdFxY1//Nx9VC8dr+TzZqXM+ByoybpoQqi5VFPY6CvcLGKKOOiYXLTdft iY9rkb+Jwau31bKqrfRWw3DN8O6sRfGdtPnORloR0ErLM2O097bq2tWqitZn +ev1+FiNaZqjlxv21thy2ZrslaJ7cx7VmIQ+er1iZy2tk3xdrrLQzv2K0Ywm aZocMNC0z9yvuOvqoCzyYp+urq4aJ+6xmGhbB2WRR3fNbpJgnk2xeUfheWU3 z1euzeOyeY55bo55nnacui/RBX0ssDVautr+C9d9wT7stPYau7EfPwrnLPiJ v2O69bH+gwN4gAv4vN7e/C3O9re4gR84gie4gi84gze4g/8i/1jLB7xYflz1 cOyeYOwtDY9xUy2v8Hsz3v9/f/xsP2Tp6Ncfa+2dD2lO/SxNKdJJs4okOmtc SiRrZsV0HWzmqZO3mnylbMWCOJd/s3biSN2amlinn62BOOXWHM0o4YwjzCf2 DUpTbsBEZUflKTt5gkZ4jdA9kU9qbNwduif0Sf01/BnleExUeul8u+9vWpmx 6uM3WlPq99as4tQScdUOKZSrTC+eqRnFMjSmRl896ztEo2v1c60tz3TWtRTP Ul6NVPXzH2Nrotjxm6LO2EQqc7YaTFVW1AQlJ5q4v1q+xnr30+L6Kepfb7x6 FJ2izGIT7fgKr7zvX3e8+TzZ3tejWp5SzHPZ5nnaoT07RlTUGf+gP/ql/2mu dTbYhX3Yib3Yjf34cd3cNta0GH/xG//BATzABXzACbzAzeJncARPcAVfcAZv cJ92a5blAT7gBX6O1K3hrHW5kUPDK/zCM3zDO/yjA/SALtDHdRL6A/cj/qMO u1+G+Zv64NPz5Fl32D/Y1/j3nCNsHBpo4lEfn+Gu8ZtH7H5NfoEj1LjJg2oU 9bjyZ87SsU1/0651q7Rt9XIdWPWW9n2wWs8+MllhbccooFsXtUquqLg/N9Cf n2+i6W+30bZtfXTyWFvt3j9UW8xz3349VXv2dND+bTHav6Wdju/prrNHTA5h Xr/+vJ0++Ki9FrzXUpNWttDkleGatjpESz4I1vqNJib/JlJHDybq3LHe+vsn scqdFa7Rq2I054MItepVVU0jPVxrXUoqIqCUgpt7yK9LVY2d11THD3XVkc1d dOCDlvrx41B98t5QLV47RRs+SdPn6x/Swa2jNezlKDUOL6Hm7VlDw7ywNvaV 91y/33zOfdy/4ZN0+/xG0w7t0S7t0w/90S/9Ywf2YBf2YSf2jjF2584Ks37g D37hH37iL37jPziAB7iAzyEXXuAGfuAInuAKvuAM3uA+/e3Wlgf4gBf4gSf4 gjf4g0f4hFf4hWf4hnf4tzowekAXgQX5yr+2VuVnc8GMntE1+kbnl//AeS7u 3xxmrVwi/9bBik/ooDuGDla/vv/a2oL+/QZdl6+4T/d6fOYLteveUcVqlleL 2Ba6bfAADXHVM+fzzPQ0eXeM0CNjn9Rrq1/Xx3u/0MHj+/QTewufPaEXZ43V 4OH36InJz2rWgny99fka7ftxJzOqCnw7d+5H/XDigE6fPmL+l3VW2/d9pW0H v9bhM/s0f+U8PTL6WQ0cepvaGp892zRXg+hwZd7ZTx9/7cy5u3rpXEFusn7L x7pYsL+XUxPS1oU0/S36/E2NXjRRW7/fqiOmP/b+dXIdZ/+wCxfO2HyFV/f+ X3zOfdzPczxPO1d1vqBt95p6+qV/dw5z9ZJTKxQ7sRe7sR8/8OeR0c9Y/1i/ gr/4jf/g8MPxAxYX9wFe4AZ+4PhE3rMWV/AFZ/AGd/CHB/iAF/hxr5eHN/iD R/iEV6c+/S+tp+/r0sfv1xf6RKfoFd2i38J6/m8/bO3xi2jovL6c9JCeDL9L fwoZpfRm89Sjxjhl1BhVsOcue1Ul1X9LD7R5QG/UidS8OvFaUD9Os6p10Iqw Vvoh/FYdr1JEp+oW0U8tiuj10Bg9GX2bPugYojfatdan9/toRVJbzcpO0vO+ fbW+R6AOBDfQ0hATC1aP1+I6bZ25X57Rmtc4UXkh/ZXvl+vUmbdjHdevgV/I eEVt95wr9iHm+XbO+EatTE0yOcD8uikmb+isBbXiXLUoo13r4QvnKzFOnmM+ 5z7un2ee43naob2Fdh+xtq4xlhjXeppU3bi238mNOli7sR8/7FoY/DLP4yf+ 4jf+P+/T1+KxIrGtPhvmY3ECL3ADP3AET3AFX3AGb3AHf3i43/ABL3YvMfce xoyFMdZieIRPeIVfeIZveP+/44bDtcal8H7I586e1GdTFmheaG/l27wlQdMq ZmhdUEudLVHK7p17LdatpOOlzKtXJS2P7GLu76npZZ19jWcXTdMrfv2U2nSK 0hvN0sJKiXq20d2KL/eakktOU3ZpE+PXydewiCd0p/9Lujv7ceU2H6m+PcZo Qu0BmnNLmmYUMfF8sSxnH7DSzhoV5lRNqpqj55oN1gv1BymfcZZiGYXmV2Wb 3CBN4717KrniTGW49idmX2L2IO5abK4Gx5h+Rj2vznEL9EDaCA1vPEyZDSaq +y3TlVn0+v2MeW+vm89HmPu4n+d4fnDMS6a9ebbdgn2QzSv90j92uNfX23lr xk7sxW7sxw/8wS/8s34af/Eb/8EBPMAFfMAJvMAN/MARPMEVfMEZvMEd/OEB PuAFfuDJ8lVobAU+4RV+4Rm+4R3+0QF6uG4/4v+FtSm/9XDP5Z///qeq7T1M fgF/fL7iY+LQgCZPqFlBvnLt9A18RN5NR6iB/3A9O3qCDny5RLvYQ2rD67ZO x/4vlum7D97R5k2jtG1Te+3/JlE/7UrSxW2JOr6lu3Z99ZL2rf5I+1e/rV1/ X69Nn4w2z0TqyJdddWBHd+3bGqsD22N0aFe0juxuqx/3xOjE3lgTk8foh128 xurs4Tgd2dddi1alqOvzJu58KUTvfRGvdzdEKDS1pgLC66h5aHW7BiQi0OQq TcoqPLOeln4YqlPfJ+nwpx11aG24ftwQqe0fRGvJmuf05qo8ffdeLx3+qK0O HOyg/o/UVNMI1oiwfqWa/GIT7Svvud7/0Zr2Pu7/1jz35rt5th3ao13apx/6 o1/6xw7swS7sw07sfXdDuLU//sUQ68+iVT2sf/iJv47fDg7gAS7gA04WL4Mb +IEjeIIr+IIzeIM7+MMDfMDL5k2jLU/wBW/wB4/wCa/wC8++N47foQejC/Th 82/IV9AzukbfhfX+Rxx2hrQrxluwZokat/RXZkYPDWV9yb8hX7GxZh9nflib DtFql9Beke1bqn54MyWnJzn12c1nqRnJahndUgN69VJ6VoZ6D+ilwUMH6o67 /mKe76M5S6borInnL+lc4f8TmDD/nInvT+nMT0d1/vy1sZm/bV6plxeP1TOT n1PfO/opLTtN3VMz1Lh9K9WLj1RcYmc9+txw7Ty2195/+dJPNj+4yjqaH/dq 675vLVqXTM5x5vwP+u7gN5qydp4GP3eXWg1OU/KI/tpy6Gt9u/Mrrd+xUZu2 fqath7bqlMkRzpz9US+9M92+8p7rfM593M9zPE87Q0x7tEv79HPJ5jhXbf/Y gT3YdfmSUydu57F91u64xC7WD/zBL/zDT/wdafzGf/cBLuADTrrsGhMqQPCc xRV8wRm8wR384QE+4AV+4Am+4A3+4BE+4dXO//rF+pH/Wr6CLtEnOkWv6FYu Hf9n/oX65w739xFWFo0cqZFVOmhy1YHKr52r51v8RX0iZqh7/elKq8o+xKOU VW2iUhpO0/gOmVpazeQPdWM1v3o7vdamlb6PLqujXsV0qGFJfd+gtE6Z+HpF QpRebNpPoyv30nMNB2hiIxM3Nc/Rgl4dtWpYmFY9Ea+vk/x0OKeSXouJ0wyP Tppfr6OmRvVVfuRAzW2YYGs5OvuDFRofqeUa3/A0Z13GMOJMLtDVzrVaVDtd i2t00wxfEx81yNBrXkla6NFVi+uavMOjm7kvydxj4n2Tg0zzyrSvvLfX+dzc x/2veXW3z9MO7dEu7dt+bO4TY/vHjoWF1tkvdI2lYDf24wf+4Bf+4Sf+4jf+ gwN4gAv4gNPoyj0tbuAHjuAJruALzuAN7uAPD+M7Zlpe4Aee4Ave4A8e4RNe 4ReeL93A//8dPz9utsbl23lz9EZML00snq63vVrYNQ7Hbq10bS5ROSfePV+2 pN5t2lbjK/a3cfncYj30YrPb1a3xTGXWm6F5NXpoTlETm5TrqkfC71dSqelO /ZMi+epRZIo6lJil3gEvaky7IXoo5GHdH/OUHk8bppci79T0+j01rYKJ64tk KM/E3883NrG+v4n1jWacWP/69SDswzX71m4a5jtCKeWcuvdppo+k0jOU3mCy bm/9tBY90kUvPH2HcgLylVl+khLKzjb35Nk6j3YchtovJV906qAUdeo/8nlC 2Vn2fp7jedqhPdqlffqhP/qlf+yw+4Jdty+As94G+/EDf/AL//ATf/Eb/8EB PMAFfMAJvMAN/MARPMEVfMEZvMEd/OGBfuFlleEHnmy+We7anD74hFf4hWf4 hvf/pLUpv/Vwp1EnzvykkFZPybvZcPn8oWtYXPmK95MmLh1x0/UxPoHm9HtY dbyHa8DwV7Rto4lzP16iLWsXaeuHi7TnwyX65usFOrypi354P0SH3o/SoQ/9 tPfDHO1+7R19v3il9r/2lg4sXaBdby7Xzq1/0fc7o7Vve7T2b+e1rfZta6u9 5ty1JVq7zXlop8lXDjBWEKtZr7VSzLBQ1RoYqPunt9PpvWn6YFOuApLqqXmw hyJ9qyoqoLEigxsptFE5xad4aO3XcfppT6L2b4jVkQ/DdWRDK/2wroWWru6q d756VKvWZOvEhiD9uL619u1JUPxfveQfVcHmJ0GxVdQgMta+8p7r8Xd72fu4 n+dWrcmx7dAe7dI+/dAf/dI/dmAPdmFflLETe7F77eZc6wf+1B4UaP2b/Vpr 6y9+4z84gAe4gA84OXhFW/zAETzBFXzBGbzBHfzhAT7gBX7gCb7gDf7gET7h FX7h+Wf6sPnKCJOvPPmH5yvoGD2ja/RdWO9/2PdHjFE6v+ut3LRBLTLaq0+2 sya78J5Pf0S+YtdiDxqoDsldFNw2TLcNGqDbBjsxb4OIZgqOaaEhg/qpXUon RSfE63bzma21Qt31Puw71lc9s3J170tPGLsvmqDunInpTztjH5fPueZYnTF/ +3/SqXNH9e5X69Tz8dvVoVeS+vbLVe+sLGVkp6tp+7aqavpq2z1B2bl9NGrO VB0/7/xGc+XSxULoXNHGr9br671fafeh7Vqz/UONWT5Z/Z68Q2m90+369dw7 71TnB3K19aSzzvvS5TM6SV5yeJu+2v6FeWaD+rzyV/vKe67zOfdx8FznB3or 9093mvaybbu0Tz+rTX/0S//YUXhulmPnVWs39uMH/lSNCbP+ZWSlW3/xG//B ATxOnT9q8QEni5fN8U5bHMETXO8x+IIzeIO71YLhAT6iE+MtP/AEX/AGf/AI n/DagT2Lf3H/ht+frwxy7aWAPtEpepVLv/+fyFUuO9/Dc9vXacrQsXq+UrIm 1B6o8bWHmjNTE2v20OSmuXqg5XPKCJqtFI8Jyqg8SwM6TdXiZqxzN7F5jVgt aBmrndEmTvMqrsMmpj5Sr4QON7hVx2vcok9y62lsSLYmeKZrYq00uz5jfJUM Pd34dn0RF6qDDaprV8dqOpBeQT/kVNX7d8RpWqdBmuGXpsXkAAVzqdy5QKyd i7WoXjuTWyRpSR3Wg3QzryaXsLlGgs0lFtaN14SgFPOabK4l2brz1ERZVKu9 yTe623sX1aPWWxf7ap811/mc+7jfPmeed9qJd3Ii2vdw9Wf7TbV2YI+dk1an 0P7Hrjlt+IE/+IV/+Im/+I3/4PBUo9stLuADTuAFbuAHjuBpcTX4gjN4gzv4 wwN8DOg8zfJjeTJ8wRv8wSN8wiv8wjN8w3thHfzf8QuH3Q+5EEZXz2jfp1/o veH36/smnvqpXFmdKlFOP5YxeQt16itUMu/LamdkQ+VVydW8osl6utm9al9n kXJqT9V8r1RzLVGzS/dw9kqunKw+zSYo1cTdWbe8qqRKE9TXd4zJMftqhq1B aO4rk6pXq/TRJJPDTonsq5lBffRKSH89E8hcqj43n0vlzlfIX2om609NXlBi kdlKrjRD2T7jdH/IvZpYL1cz26cq//Y0PfWXu9S19CxbP4W69HZ9C7kJe28Z 27pVnWhfeZ/hqovCfdzPc0/99S7bzizTHu3SPv0k2zqVs23/2IE9N9p4/Zy2 PtavV4L7Wz/xF7/xHxzAA1zAB5zAC9zADxzBE1zBF5zBG9zBHx7gA17gB57g C97gDx7hE17hF57h231YHfyHjqX84nHVzvpWwoDRatCA2uJ/5BoW8pXHTL7y 1C/mK+7Y0s+81mr0kLpkP6uV78zVkS+Xaec6EwOvNefHi7VjV7aJ2Vvr2EdB 2ruun3Yse0v7ls/VvtfnaP/yt7V35Sfat2GrvvvkHe3Y01kHtplcgTlNW01M vrWtDu6I0Yl9cTryfazWfxahp/OC1X5oU3nFVVTkoCZ64/0u0uFUrf+ytcJy aii4VW21CK2kMP9SiggqpxbeldUh3lufbUrTie0J+n5tKx1dF6FD66N06uPW evdNf63fnKY3NuZoy/uhJvcwedWnsdq6JVZRWdUV0MbZoyy0fX35d2ptX3nP dT7nPu7nOZ6nnQ2mvXdX+Nv26Yf+6Jf+sQN7sAv7sBN7sRv78QN/VnzQVRGD veUZV0ntb/M2fgdZ/8EBPMAFfMAJvMAN/MARPMEVfMEZvMEd/OEBPuAFfuAJ vuAN/uARPv1c/N5UH//GfAUdo2d0fcnOEfr3fYUuu/5GfrjtY/151APqN7i/ emVlalA/1x64v1K7/LfkK6yPZo5QTk66fKIC1Me1BzFze4a6anRQ77xxlI+a hPgop2e6iXkHFcxNs/sVD3D23x18x206cOLAdfaf12ntOPKt3vr4HY2ZMUZD 771D9VoHKSqmte6y9e37KyY1SdXahqtZ+xilpPWwNsxeucjuEe3kAhft3KkT Jp/YcnC7Pvtuk9Z/vlYf796oSX+bojse/Yt69stRv17G5j59lP2X29V76EAl D8rU+q8/Ms9eKdjryz1useHbDQq+v6c2fLfBZamzBsWuYzH38xzP0072n2+3 7dI+/dAf/dI/dmAPdp1wzXFz+rE7XFs/8Ae/8A8/8Re/8R8cwGPoPXdYfMAJ vMCt8AGu4FsYb/ccLPiAF/iBJ/gaUrCe3uETG3xaBtj7Bt+0rs8/ma/0d+1N bZ5Dj+jyzy8/oHXbNl6n2//24+plRy/nd6/U1MhEvVDe/A2v18vEybdrXO1s E9ua2LlOlsaZuDnPq4fGhNyp2yLHq33jpXo29i694RmuBR5xmhneRd+09tBx TxNT1zcxteskribO/rhnfY0JytarNTM1rq6Jxb3S9LKJod9PjtfJOmV1zLOI fqh6i44FVdHpth46dXtdLfTroEU1ok28f20NvTPXi/lX7nEQc1YxOUctxlM6 O3Oz6jhzwqgNOdknRdMbMUbSUQtrdr5uX2LqpCxmXMKru+aX7WRfec/1wvsg 8xzPT2/cVXk+KXb9vLOe3zUXzPRr+8cOY4+1y9jnjK+4543FWj/wB7/wDz/x 1/pt/AcH8AAX8AEn8AI38LP5CnmgG1tzgje4gz88wMezsX+2/MATfMEb/MGj 5bN2juUXnuEb3uG/sB7+7/iVw73GpeDv4jnNiM/Rap+22u1dT6erltOZkmV0 vHRFnShbwdZCn+GTqScbPKDY6svUu/Ykza+X5uQqrv2SZ9+aogVFEjXNO1vd a+era6VpGt58uLP/1y3O/l9TXCdjENQRGVs5V08FDNb46MGaXt65PrVU9s9y AFvPpESOZhVLsnVFujabqwE+z+mp0Ls0xTNDc0v20PRi2bqv62MamTBA+a16 qmelic5a/6KTC8ZRWM/et8EoTWyZZV957x53sXsbm/t5judp594uj2t60Wzb Pv3QH/3SP3ZgD3b9ks12jMj4Nb7tYOsn/uI3191Y2P3DbnH2DwMvcAM/cARP cLX4lnLlLAZ38IcH+ICXg4YfeIIveIM/eIRPeJV7PsXV/8y1Kb/1uOSqPTQq f5Wq173nD17D8tvylYL5O4EmxjQxbrNWj+nJURP13ccm/v18qbatX6Gt3z2u Yx/7aOfaPtq2/A3tWzbX1iXctWKZdn3wtnbY+ulLtHv1Rm3e/IL274zUoR1x Omli8mMmNv96SxtNWR6oAcPrKTSjnup1rau6HTx1x0tB2rXV/L3Z305bt0Yp 4faa8o1gTbvJVXypy1JG4T4lFRRyq5a/3Unnvx6gAx9E6sh60/46k6tsbK2N 7wRq+cpI7fw6XW+96afjG1raOVw/fJukz76IVkTHigqMNblKnIfCYv3kkxFu X3nPdT7nPu7nOZ7/21v+2vVNht5YGWHbpx/6o1/6x47X3+5o7cI+7MRe7MZ+ /MCfk/vaaafx744Xg1Svvaf1G//BATzABXzACbzAbfPmFy2O4Amu4AvOto6n wR384QE+4AV+4Am+4A3+4NHvH+3f8G/MV9AxekbXhXX+7zrc4yxf7Nmstd+t 1aNjn1FOX/P/zMxMDejj5BsDbe7y67Xlf2l8hbjTJ7qFktO72xjX/fu7uwb6 nUMGK93kM+V8aqkZMW9ulu68bUjB7+r9jQ39e/ZUYkqiln70ti5cvaTP9n2t GStma9jIhzTwjoHq1aeXstPT1DAqVJ3Nfffdebu6ZaWqVkyE6se1VHputnqb uLf3HQO08pO/Obhe/EmHj+/Xt3u/1oatH+mLrZ/r+9Pfa+U37+mpRa/qvsfv U3ZP87fB9G3zNxND9x7UX+l/vV2DTH6R0ydLSz59TXbnD+rEUPfR/HvP4Z1a vXmtfJ+6y77y3lmz797D+JKWfPKafZ520sl/TLu0Tz/0R7/3PXGftQN7sAv7 sBN7sRv7OfAHv/APP/EXv/EfHMADXMAHnMAL3Ga+MVuf7f/a4gmu4AvO4O0e Z4MH+IAX+IEn+Orfr891PMIr/Poanm8+Pvcb8hWbK/WzekN36A8dokd0iT4L 6/W//XDPYzi3+11Njeqml6r01KSGORrrdbsm1O5jY1vn93jnHFc7y8S5PUws na2nej+lZZ2TNKt6V83w76bPWzXUiVpFnFylXomC81CDkjrpUUQr0qL0YkA/ TfBIN22n6UWPAZqSOEA/Ni2tH6sW0SHz/97DvUxM3q22jgaX185sD00P6qaF 7AlW1xmnWMzaea8ELa6dqkWeJreoY3IET9bmu8ZN3DkG+3Z5xWhOg46aGJDu 7M9lx0Qyzb2FarKYPGIB9Vq8UjTDK92+8t6dXzjr4tvZ5+zzJo+ZyB5j9Tva 9q+tVYmx/WMH9jh2dXfsxF67Rj/O8YO6LsYv/MNP/MVv/AcH8AAX8AEn8AI3 8ANH8CyML3iDO/jDA3zAC/zAE3zBW2Eex9dOt/zCM3zDO/yjg8K6+L/jHxwm br188bL+H3tvAV/llXUPB01wj7u7KxBPSCDE3T1I6VCjOFOhUKBQnARIIAQS XEppOwzUKC5tafEW1+IugazvrPPcmwaZKfMN875T3v/T3/3d3OceWXutTbp3 nnPOflR3D1uL/opSDeFHemlYZx+GQy52uG7QHjebtsRD7SaojCuCX4u/odh0 KpZailylEXOVBNQ0//1s3OqmIq5u2hMjE97CKNvhWNo88ff6j9yjosncJQ1z tDMxwbcYE5yLMLuLiOFd8+We9cfOAmb9Eu7HF/2rGydjYftUfGyRi3djB2G6 axYq2yfL2ibzm2XIGigThC8MchiGWVqFKO+YiqSWs5GqyldkTUiNeciznYy5 Tskit+kl3/mZ9+trSYr27FfeIVWO85bDcDkux+c8nI/zcn7iIB7iIj7ilHgb ngvGZy2sdy/so520l3bTfvJAPsiLur4k+SJvoxLelDyST/UZ1DUyZ0mQvJN/ 6kA9qAv1oU7Ui7pRP+pIPakr9aXOf9Y8RX09VP27/nTbLpjaDoa904t+vvIO HJ8zX5F/F2etQNuRMLQajqCEDzF17lzs/fYTnDo+Ged/ysWxzz/BuTXVOP3J Epzc8AVObluPY9tW4fj2ZTiz82tc3bMNp/d/goPn40Xc7YM5n7nh1Q/N0DW1 I2yCu8AyxhI2cRZwTjRG6RI3XBSx+tkjAbhwMgj9J5rDwlsPXu4dlRqLrMni qAlbq9YY9JEnbpyKw/lve+Hy9p4id/DGle3dcOIbL5Qtc8ThU33x2Tf++GG9 C67t6I5zm7xx51AvrNniA8dwnkWsBx/3LvDw6wjbEh/5Lj+L+/ye7die/dif 43C8Q2Jcjs95OB/nlfMLHMRDXMRHnMQrcQv8tIP20C7ad/FMsLDXVdpN+yUP gg/yQn7IE/kib+RP8ij4JK/HRN5Cnsk3eSf/1IF6nDr+sdSHOlEv6kb9ntqr 8s/yFeEfL/z5ivBj+jP9uqGf/6cudX29365dws8nfgbj6a2Hd2FC+SQUiTg4 LSNVrjEqzM2R8TTjSXXt9Ib1zZ/MVwpkTY4SdOvRHQE9g+TPsqZgYYPnJoxP Rayek5mObsHdEREfCQNnU3gFeCEzMw35xSJu7leEtz4ahYXLKrBg21r0HTUI SdkpIj6Ol7j6FBQgLycT9v4eSExLkGuhLMK6Q8ffExHJsXjtlX7om5OH/GH9 sEvEvL/dOo8tP23GpsPb8NOve3Hy4nGRR9zCzYeXsXrzWvimhyE2KQkFOXzG pLKRmPNylNyiT4HMM7JLMlH25TzgwR0RYyh5yIVr57D9l924cuM3GKX0lu/8 fEHWVqlV2on27Mf+HIfjcVyOX6TihvNy/tjkJImHuIiPOImXuIl/i8iHaA/t on20k/bSbtpPHsgHeSE/5Il8kTfylyh4JJ/klfySZ/JN3sk/daAe1IX6UCfq VdxAf+pZqNI6IDJI6s2fC548H6xBvqLWv0SVn9Cv6F/ERX+j39H/6IfkjX5J /2zor3/mS+6xFnnivYPrUeEXI2PWMtNUEeMWo1S8ZoiY9vEYV3mVirh+ok0R 9oa54qZ1C3zVOww7evngroiZzxk2e0a+ooVbxhpY4xiM8abFmG2YiOm62agI KMI1+za4aKmF/QWOONrPBhc82uNipyY4F9AMB97Wx7oQH5EniHzEkDmKes9I jLJnRPXsYoV+ojxn+PHziZV6j2XOqagxi5D1VpYbh8ocYpl+yO+5iGEvLNZP wlKjMFTqKu81srZKr99zGtGe/WR/MQ5zoNkiZ1nZoN7k768wFZ5ABZ/cSxOj 4Bb4aQftoV20j3bSXtpN+8kD+SAv5Ic8kS/ytsYxSPJIPp/MV8g7+acO1IO6 UB/qRL2epSP1pc7Um7pTf/oB/UGpnfty5OT/6etRba38u/v3S1ZivkYgljQV MXkjEX93Sscq2xjscXPDoa4OeNVhPPLtpmOpdWL9c5UazXhVLC3yliZRmNsx Dqvto3DByxBVVsmoaCTi95ZK7sF95uUtRW7pUoRxviUo081S9nWYZ2FmYDEq +TP3pfOZA/fVN0kTsbrIR7pk4kPn19DX4X1EGM3HANvxWNo0DhXNhN6tMlEp conZOvkY1mcoPnQYiMUaiZjWJRs9zKplHROllmQ5MmxmYoZThlx/NbN9knzn Z95PUZ0zxvbsx/4cZ5wYb3jfoWL8PDkP5+O8nJ84iIe4iI84iZe4iZ92yBxN 2EX7aCftpd20nzyQD3nuAHMcwRP5Im8XvAywyl7hk7zWqHMWzd+fs1AH6kFd qA91ol7UjfpRR+pJXamv1PlPfqn/t3Xz7l24h4+Flc2L3MOizlfGPHe+wpdc HyZe5lYjYGQzHH49xiF39FiMnVOB3fMqcGDtShzcsgEHdn2KfTuWYd/WFdj3 5QZ88ekGTK4sx5Bh5Yh4LQ3eCS1g498a1j5tYRNrCbsCF9hGGqN7lh7WfOeJ 62eDcPxgAK6cCsH8tY6wCNCHp1snEfezHryWrHPi5akL53A9bNwRjOvfB+PC ZhH7b+6Ji9t4Hlg3TF9oio3b38L2w++gcoU9Lm7lMxA/nN3sh5tHwjFlnTMs eHaxrx487VvBOcwUjqM85Ds/8z6/Zzu2Zz/25zgcj+Ny/OmLTOV8nJfzX9js L/CESFzER5wSL3EL/LSD9tAu2kc7aS/tpv3kgXzYxFoo/AieyBd5I3/kkXyS V8mv4Jl8S94F/9SBelAX6kOdqBd1e27/UeUr9I8Xma9wfvox/Zl+3dDP/7P/ llQ1jY4fwtFzh1V3a3Hi6nGs/not3p0xBn3+0g9Z+ZlIS0tBdprIJTIzUSBi zML8PPn3+OKCPjIW7lOoxJ881zZWxM0uQd7oX1wk2xSpnpcU5GaL/hlynNz0 TPj09IdXrwC8/dqr6PfOW0gcnoN+Y1/Dqj2f4/qd87iveiZ84vIxkaukIz8n S8a5fWX9llS4dndF75QY+Mb1RDt/d3SP74UBfYvxl34liI7pjbS3crBizzoR 9+4VNv6M81dP48r1s5BrtHAHG37YgLc/GIqw6Ah4+Hvjlb59VefvKjF3icCc LcZKG9hf5hWs48796BM/r8Dl2zyP+KE8g2vz3m/wgM9tLp1AF29n+c7PvK+c 0fVQtmc/9pe15sV4aQNfkeOX1O9Xz5XzEwfxEBfx/V3gJF7ivnL9nLSD9tAu 2kc7aS/tpv3kgXyQF/JDnshXX9VZXuSRfJJXXuSZfJN38i91EHpQF+pDnaiX on+G1JF6Fql8gDpTb+pO/WV+K/yhj6wj2kd5XiZe9Bv6D8ehP9Gv6F/0M/ob /U69to7+SL9s6Kd/5kvWBBSv+3UPMDc0Hx91SMdsU64Tysd0g/6YZfR0fCtz FaNUTNbOQHV0Nq7btMFvNs2xzlvE/S6x2BPgjav2LXFZxM3njVXrwcya44Kh Jq64NMb6aD983DlLxN8ZmGI+ED/Eu2JLsjc+HxqNoz0NcU1XA5eMmuBa+0bY leSDy5GGOGDnhqVtorFKJ0LWblyuF4TF8lmGqr6KIZ+3xNXXjldylWDZdoFF FObYJ8rzuJaq12Vxn4lxnGjjL/KHcKzWS1TqPxoEK+eDiXd+5n1+z3Zsz37y WQzPN9YLFOMmyPFXyLqTDc4o43ovgUfJd5Q9LMRL3GxLO2gP7aJ9tJP2SruF /eSBfJAX8kOeyBd5I3/kkXySV/JLnsk3eSf/1IF6UBfqQ52oF3V7lp7UmXpT d+pPP6A/0C/oH3V/qtqn/zuX+lnUrZ+/w4LWyfJv+jVa8ViqEY2yxllY7JOG k/YmmFecg9KC/ljQKAELmybKuoM1mny+Eoeqpr1FTJ+KXV4euNqxHe621sIm e3/MbpaDKhG/z2+eIXKDTHwUlovpVnkypufe9IWNUjDG9w2UWRfVx/kLG6eg umUyZpvkYZjj28iym4rYTuWIazITyS1FbOI4AAuapGBeS5HTaKVhTtNsVOfG Ye4wca+DuNdY/C4wEHlItynyeQn3rrMOywTnXDFfojxXq7RtvHznZ97n92zH 9uzH/hyH43Fcjs95OB/n5fzEQTzERXzESbzETfy0Q5130T7aSXtpN++RB/JB XsgPeSJf5I38kUfySV7JL3km3+Sd/FMH6kFdqA91ol7UjfpRR+p56+dNj+n8 Z7/4v6+H4r/MV6fDxPRF7mFR5ysfwuZfyFfq405nEcvaj4ahxwAYBLeFsU0U 3C0mwyPiY/ikj4N/5hj4ZX4Ej5h58PGZBnv3UTB0GAo9E5F3OUTCPaAxnKMt YVPgDcd0e1h37YCE/jrYs98PV0+GyP3m538Nwk8H/dAtxwwuTl3g49hcOSfY pT08AozgHNQZ3VK0cXRPJC5t9cWFrSJn2JmNe3uCUTHPGDWrknF43wZUf5aB 9Z/Y4NZOf5znPpMtAbh2Nh5jZ9jA0t0QPk4txdit4NPLAqHT/OS7/Czu83u2 Y3v2Y3+Ow/E47hExPufhfJyX8xMH8RAX8REn8RK3PHdZ2EF7aBfto520l3bT fvJAPhwz7AU/XpIn8kXeyB95JJ/klfySZ/JN3sk/daAe+kIX6kOdqNe/5B+s 5yjzlQ9faL5C/6Uf05/p1/+T4RljwdpHD7H94G7cuH0RdQ/VtT+4W+IBLt04 ha8ObcOyNYsxoWICBo4dgVcG9EVxSR5yxe+ddBGXpuVmITU7Te4hj09PhJGn DRIyk5BVkIPswmwUlOSKWLkAAwYOwMBxo/De7LFYvKwCH1ZMxbLv1+E3Eafe U+1JZ92PrQe34sdj3+OhuPfwwV1ZI/HtSaNkzZB+MldJhqufM9yjgmAe3h2O UaHIzM5EemYygiKDYe7jiNShRdh18ntcFfH9o0dcQ3UPdbKWym3sObYLo0SM nJmbiZLcXJG/BiA6KUbZm9Ggnkxhfg6S3xgg7uXLeu3ch56Zk4mJa+fi7G8n eIoYvj2wDRdU+2t+PLEbLd1t5Dsv3uf3bMf27Mf+JarxOG7ymwPkPOrnEZyf OIiHuIiPOImXuFkPUrHjnrSL9tFO2ku7aT95IB/khfyQJxdfZ8kb+SOP5JO8 kl/yTL7Ju7oODvWgLtSHOlEv6kb9qCP1pK7UlzpTb+pO/ekH9Af6Bf2DfkJ/ od/Qf+hH9Cf6Ff3rEdTnHtRK/7tx66L0R/rly5Cr8HpYp/yrWjhmLsZ3yhAx AuNZkUvoiVzFMPOpdWDyZZyGGZ3SMal7Hk746uK6eVssDwhDFc8H1g5CtaWI lbvH4JivCa6ZNsFvRk3lswDG4mfsW2NicB7m6GRhvk4xxlsPwpCUMfj7wHBc 82gu4m0tHLc3xClzc9wM1cXKUYnYlmWHqoIoTMjKwZJevbDAMgpLHbk/ww/L dIPleVjL9WMb5AYNnnWIvKPUOQ1LuK9edd6w3M9iHCP69pJ1UhbrJ2O5UU8l D3nsPONAeZ/fsx3by36qui7Lxfgct9QlTc5TP6cqJ1JyqFiJjziJl7iJn3bQ HtpF+1aOTJT20m7af9W+heSDvAxJGSt5Il/kbWJInuSRfMpnLIJf8ky+yTv5 pw7Ug7pQH+pEvagb9Xs6Z0mVelN3qb/wA/oD/aJW5Sf/73q+q1b85ljmm4JF rM3SJA7zW6VitU8UbrdohWNWBpjhWYgvQiOxx8MTi8wTUN4mCws1RLvG0ah2 iMY+R0fcbdEClzQ74G4bLWzX8kKpRgHKzES+GlmAqe45qGip7OmQz1C0hE4t UjEyaThmtcnHYo0EVLVLw2TLPnjNbTRSLGcgRuQDSXz20aQUqU2nIdW6AuWd clDZLBWVLdNR3jgDS12SsWmsJ5Z2T5Bn+7I2SZVOCob6Dpf71qNNFuN9u4Ei f4gV+UOWmDdN5it852fe5/dsx/bsx/4ch+Nx3E1jveQ8nI/zcn7iIB6Jq0mp xEm8xE38tIP20C7aRztpr7I2TuGBfJAX8kOeyBd5I3+SR8EneSW/5Jl8k3fy Tx2ox0yhC/WhTtSLulE/6kg9H+DlyFPUl/qc1ykLN6KL6Yvcw6LkKw62H8k6 4/9SviJrCb4LY+/BsOypD/9wHTiGdIW56xjY2AyDpeVQ2Fi9DyvLWbC0/gjW dsNh4yBiXwelVrplVAgss11hnuUDj0h9WHm3QOZfjXHsaAAuHguu34d/9UwQ hs1yg519Z/g5NIOnY2t4+ujCPVQfbmEd4BTYCt0SzHD82664xLOFt3RD7ffJ qKlxxKQKGxzc/hl2b16CKVVWoo2PaNMVF0S+cXFrAC6cjUPeSFs4m7eCr5Mm XJ1FLtFTG68sCpLv/Mz7/J7t2F7226KMw/E4Lsc/uH2dnI/zcn7iIB7iIj7i JF7iJn7aQXtoF+2jnep99bSfPJAP8uIRaSB5Il+WvUMkf+SRfJJX8kueybfk XfBvJnSgHv7h2lIfY++3pV7U7V/KV4RfONhOeKH5ity7IvyY/tzQv/8nLnU8 ePHGFew8vFvWAlFqkdx+6gxc+Zd41ve49RuOXdiHHSd3Y8OhXfj0h++wettG fLZtA4Yv+Bhl65fhi5+24G/7N2Pz0Z3Yd+ZHnL/8K+7cuYp7dbfFbyPmRHU4 eO4AixpD7n9nfUXuzRCf6+ru4ucTP+LTnRtx6OwROfOilZXIEXF2Vk4aTNxt 0TnADYbBvvLv/8E9AuEc6g2fIOFbPQMxrnqmal/9Q9wROdjtO5dEXH4dtx5e RvXflyC/Xz7i46NljpCXlw2nAA9lzRpzlMIS8coXeUIOMkR8nfFqH/kz91nw 2UR6WgrmVs/GkQuHsevIThw9/2s9RxsPbYWGo7l8V65a+T3bsT37sX8f1b4g OYcYn/Pw50JZX7FEwSHwEBfx8blLfFwM8vvnS/y0o1bYQ7toH+2kvbS7q7Cf PJAP8kJ+yFPnAFfJG/kjj+STF/ldK3gm3+Rd8k8d6pRalPwsdZIVge5L/agj 9aSu1Jc6U++yvy2T+tMP6A/0C/oH/YT+Qr+5K88OuN/Ap5Szqelvsm6m8L+d R3ZLf2zon3/eS/Amzwm4gm9Kh2NChyjMNkrDLOYiBoxZC1S5ypP7HdJQppeM j22zsS3SFbfMO2FlcBAWGkdipawtz9whAIt1Q7HIKQXbQsTvYeeOuGqkgUtd GmN/lD7KbPIxU3sAPnB5H+9ajcKcbiXYaumJrWGRqMlIwriIwZhoVIiFznFY 8EYMpjhlYkDSKET7zkWO2SRE2c1HcdQ4vBvQX8Q+oVihrdSIX66qucJnH8rz jwDMsxNxoG1cg2crqvPEeH6WQTxWGiY+tk/l6XqRyr4WtmN79lPv06+fQ4zP edRz1NeB5HlgApfEJ3ASL3ETP+2gPbSL9i14I1baS7tpP3kgH+RlTrc+kify Rd7IH3kkn+SV/JJn8k3eyT8xUg+pi9CHOlEv6kb9ns5X0lV6F0j96Qf0B/oF /YN+ovjLn93v/5OX+Dcln1fexrbC4ZirIeLitslY39Uft1q1wmknXcxzSxX3 RWxvLvJTw9a4oK+N3Q52WOwVhWqfVNwxbYvbGlqytvrVZu1wWbszVoXFYVr3 ZMwITUF5ZxHna2TI/RrzVLkK94RMb12M4cHvo0YnFWOd30Kx0zjE6M5GXHOe 6ztHqXvSdC5StaYhpsk8vGExFjXtk0SekSnP4CrtXISfSqyxo8gJc9pmyxyj QnxX0zYBQ9qNQHDHdXjPdhCqNXvWnz3cMF9Rn5HM79mO7dmP/TkOx5srxuX4 e8U8nI/zcn7iIB7iIj7iJF7iJn7aQXtoF+2jnbSXdsv9Ki0UPsgL+SFP5Iu8 kT/ySD7JK/klz+SbvJN/6kA9qAv1oU7Ui7pRP+pIPamr1Pcl+TfwSPXM9Idj J2DnKmI+EUPavaB8xV7EoXb2U2Bt/688s1Hqnhu7vQPLcCt4sVZJiCVcI1vC tHu6+O5D2LiOg6NjKRydx4j4eqSyhsz2HfHdGOiFTIV+UU/YxdqKvs1h6dsC BRMtcfZUEM7/ImL2I8o5xxePBmLrT0HwDtODp1UzeHh0gUegIVzDOsM1pA1c gluL+F8Xbt5d8PeVjri2oxtufe+Pb5d44pVxnXFo83Ts33ACn32WhdmVxri9 u6tyjtfW7ri8Q+RDR1PQPUbkPtbN4O2oCXdvA/gkGqD0izD5zs/yvvie7die /dif43A8jsvx9204LucbML4zNon5iYN4iIv4PARO4iVu4qcdtId20T7aSXtP qewnD+SDvJAf8mQXayd4i5T8kUfyKdd28TmX81g4OpXCxmWc5J86UA/qQn0s w62lXvZS5+fMO2S+8lfRZ4r0kxeRr0i/pf8KP6Y/N/Tv/6lLHRMePHlExNdc F6Y6++rRXWVPOWuUMIZl/cJHjGOVs6qe/H1y/sopnLrwy7NmgFIb8b7SX8TA t29dxfZDO/HwkbIfve7RXTkfHt3B/Qc3USvaXbtzGd/8/C12H9mFDQc2oWda DFpbmkDD0hjanvbwCPFBYEQQeidHIy8nC3n5WfLsLM53/951XLt5DjduMp6v xYFzhzBi/CikpaehmHv5C3OQk5OOkN5hcp8Nz+eVZwEUFsv1Wsqzj1dRlP/7 Wq2SYpGvJCejfPFMbBE5yU8Hd8uxax8oz4ZWbd0ADVN9+c5LuV8r27F9hejH /hxHveaM4ye/zmc4eXJezk8cxBPQM1jgC0VuToZqL02exE879p87JMemfbTz vuqMZuXssCzJB3khP+SJfJG31pamkkfySV7JL3km3/cE7+Rf6q7SnvpQJ+ol c0upv7qO5tN+Sv3pB0/rr5zJJvsLP6I/0a8a+hnb0P/ohw398s98qc9i/XHV CoxvE45SoxzMME7BLLmPoUTuw37mOjBxf7xuEaqjeuGmkwY2hIej2rynUvvQ qOEzBpG3iHsLjaKw2ice+7q74L6tBj4N64l3DIdihMFQTDF9HXOM+mFml0J8 bPAKJmnnYnqnTMzSTcKMjmkoj03E+sjumKKVicmh+UgznYKkjtORqj0Fie1n INJoPvKDJ2BZsMgVuvQWeUJQ/Xqs5QbBWGIcilkuqVhm0HA/fLD8zD0oq3QT xCtK1pf/fb+LyFf0GuYrwUr9edGO7dnv6fGCUSrm4XzLDRqsRxN4VgpcxEec xEvcxE87aA/ton3re3aX9tJu2k8eyAd5mdmlQPJEvsgb+SOP5JO8kl/yvPwZ GlAX6kOdqFd1r15Sv9J/oC91p/70A/oD/YL+QT9p6Df/73r2pdQJBA6sW4u5 rSKx3d8bt1q3wEXHLljsEo8KERNXaQruWxfiG4/uqGumgevmrbC0exJqPJKx 28YZF0y0cb+RFm5qihwnxRDTinMxyy4Xc5rkyrVVcn+GPOeLtRWFrzaLw6SQ N5DSbR7yzCciuks5EhrNUeozqurJ85zhFO4/aTYNSW3m4X3nt7GoURIqW4h/ 023ysC3ID1fz22Klcy8xT464z3O3srCkSQzecBqBwfYfoEYzEuXMPer3wAtf FfmIOl/hi9+zHduzH/tzHI7HcTk+5+F8nJfzEwfxEBfxpajwyn0wjRU7aA/t on20k/bSbtpPHsgHeSE/5Il8kTfyRx7JJ3klv+SZfJN38k8dqAd1oT7U6ZLQ i7pRP+p44LO1qjPBXh7/V/9frLbuEXxjPoSl1QjYPc9+6T942ajyFXvHmf9C viL6OIyCqdNYWIV6wCO4Izy8jOAebADXoBZw7NkZVn4jYG9bKeLdd8UcjJGH w9ZuFIzCh0IneiosvOaKeYfB1mUoOnQPR/FkK1w8HYyzvyh1WE4zZj/kj6vn wzHiYzfYWLSGd4AR3ERc7xraFq7BfLUTnzvCU9y3NW+GwUOMgEMB+P5vnujb tx32b8wQ/7Z/wdFvPsW4uWbY+qkHbu2Oxm/fReLy9gzc398X6z7PhodNF/g6 d5B7SlzdOyFgoBGmbusp3/mZ9/k927E9+7E/x+F4W9d6yPGPfrMO+9f9Kufl /MRBPMRFfJ4Sf0eJW+IXdtAe2kX7aCftpd2nVTyQD/JCfsgT+bJ3Gib504me Ivkkr+TXRtajf1fyTv6pA/WgLtSHOlEv6mbvMOq5cw/6Bf2DfmLzIvIVPlsT /ks/rlUVyPrfiNIargu7JeJX1D1Q9onX5xF3H4tj1Wdj1T58IPKr+7J++6b9 2/Dg4V3UyhqMt1V/M79df0aWkpcoe9TPXj2JA8e4z/9hfczK1517N3D7/g08 fHhb9ewFOHnpBMo+nYvWgc4wcXdCWEwEMjKS5d7u/n2L0b+oGLm5mVj+Nc8r voNbty6JcS7jwYPr4vM9rNuyDnn9C+RzhT4NzjwrLsoTua8DEtOUmojK/pEi mc+kvdYf2f2KUML98DKPEPlMUQnysgsweNpIrNm1AdduX5VrvdT5ytKVNdDo 2FG+y99P4j6/Zzu2Zz/25zgcj+Ny/Oy+RXK+krxc1f1ciScxNR5WAh/34avP +yV+2pEv7KFdtI920l7aTfvJA/kgL+SHPJEv8mbi4Sh5LFs3V/IqL8Ez+Sbv 5L9ea5lDPJQ6US/12QEN9edLrTV1p/6b9m2T/kC/kP7xmP53n+FTd6S/0e9e pnVgj+qUZ3xnTm/Dh179MEMnAzONU0UMK/4frz8AM43Uf2t/co9DKqZrizgl OBFXfDWxs4crFhnHqnKVBmuw1M8Y5FnD4jvdQCy0SMRXMUGY3HcgRpsOxgyn IkwScfH0LhmYZSBiZKNEzBIY+CoVr4na+ViTGIxFhb0wvX06pttlI9lwBlJ0 VHXa9aciXXsy4tqXoiiwHMtdI+U8vz/3CMQch0QssOil1GxR45I1UIKw1Lg3 FmsnYZVJlLgX9HuOwXzFsGG+EiK/Zzu2Zz/Z3zCk3mZlj0wvzHZIlPPWP8cR eJa7REp8xEm8xE38tIP20C7aRztpL+0uVfHAl+RF8EOeyBd5I3+T+/5F8rnQ IkmZxyCg3r4ntaA+1Il6UTfqRx1nPXMvS6rUXzkXLlf6Bf2DfkJ/kc9M616u dTEv8lLOgBa/Xe9ex88RnrjdivuHOmOZYwLmaGRjQQueY5WFeY2TMMcsHRuS /LHOPALzNVLk3u/yZqlYbJmANf0icKCPKW65tMF5zS44b2SI9YFhKG+ficpG qahukoSFXPNl1hd9HSeiX/B4eXZvgoaI71mjvsnveYpSM2UukrVmip9nIsFg Aebq5qKqeYrMIZbYJeNuZAv8EmaOWR3ylPPFuM6qeTLmdsjFm+nDscAgChUC W8M69Dyza3rb5MfPIhPfsx3bsx/7cxz5DESMWyrG5zz3IlrIeTk/cRBPgv4C gW+GglPgrcfedI60h3bRPtpJe2k37ScP5IO8kB/yRL7IG/kjj+STvEp+Bc/k m7yTf+pAPagL9aFO1Iu6UT/qSD2p68t2xjf/Bs0VCoPeWwJ948FweAF7WJR8 5V0RQ5bB2uEd2P1RPOo0UtYWtHAYB+vQ7vAKEvG8Q1t4+uiI2Ls9PEK6wCXY Bg6RljALzIaVo8irHF+HuetU6EZOgXb0YFgL3HZ2I+Ag4l9D8xFIeaMc+0// FWePeosYPVjG6qeOBCh1Rw7GITTZDC7ddeHWo6PybCKknfIS8b5HkCG8nUQu Y68Fb+9WqKyyR3b/Tvh0iS/Orf8Kh1b/gj1f9cPIcfa4tC0Fl7ZG4+LWYJz5 1he3TqRi4JumcDQXOYqjCbq66cLWWw9FI41Q+n20fOdn3uf3bMf27Mf+HIfj cVyOz3kOrT4i5v0Sny71kziIh7gkPoGTeGW+pbZB2EO7aB/tpL20m/YrOUuw 5IX8pLxeLvkib+TPWsT95JO8kl/yTL7JO/mnDtSDulAf6kS9qBv1o45/tDaM /iD9QvgH/eRF5Cv0W/ov/Zj+/D/9bEV9PbYu7AifG9wXvzOeji2fijXF/1Mf 1N7B5n2bcfuf5DlPxsAHTx3AiSvH5M+8z3j55r3ruMcYX3X+r/x7+5lfsGHz 3/D5lk9RtmERXnnjFfTNE3F7SZFS8yM3B2nZKVj9zVJwbwqfMzysZZ2ROlx/ cAnjF06T5wQX5eY+duYu+6akJ8El0AtZOanIy82SZ14V5Rcip0+R8K++qucw 3NNSgoKCQvTrU4LE+FhEv5GCfVf24fAZpW7kwweKTdMrJ0Gjs458lzvs5H3I dj+L9uzH/hyH4xUUKnlLscgnUt7oJ+YtlPMTR15uNrKy0yQ+4uzTALu0Q9hD u2gf7aS9tFt5znJb8pGWlSL56SPPYyuSvJE/8vj51k8lr+RXefahnM9M/qmD ki/elXZQJ+r1ZG75j/IOrlOjPzyoVfzjD31Irjt8udaBET9ZvVf3EPMi0kSs HIeZJumqOhz9UWaY9exchfGzdiomdC/Ayd5tsT9UH4vMErHSgHvcAxs8n1DH y8xVlLqINWa9UWYiYjXHPBwPMMFF95bYlmqLdf7dURGViI/t8kQsnotSnRQZ Q8/SE7hsMrApyRWTLfLkuVaTxHuURyVSO09R4n1dEe+L90ztGehptAYjAwdi rY6fsk/FIAjV5pGYoz67yyi0Aa4grGTdet14rDBJFp9jxPeBj+UrC4yfyFfk 9zGyPfuxv3JusTr/CZXzzHZOlfNyfuIgHuIiPuJMVuGW+Zawg/ZMUtlHO2kv 7ab95IF8kBfyQ57IF3kjf8cDTCWf5JX8kuflBio71HlLfc4SKHWiXtSN+lFH 6kldn5WzlBllCVyqujvCP+gn9Bf6zSP8+f8d/CeuOtV6af4FvmZQJXZa2OCu XjtU26WjTEPE5Zppcm/6vGYJqNKJxrsOwxDq/gmGOw/FIm0RszfNwhJXoXnW KxjUZxROd9HF9cZtcLV1W1xt2gb32zTF5u5emKlThHEOb6HY4SPEdCpDjNZc DEl5DznNZyKlYZz/2EvcbzkV8Rrz8Kr9BFR1FrG9hsBim4mLnl1w360p1jr3 xGzNXLmvRJ473DkTmWbzEeRWI3xFxPJNn6yLko4pbVOeyFfSZTu2Zz/25zgc j+PObp6LtS49cd+lKS56dME8u0yJg3iIi/iIU+J9hh20j3bSXtpN+8kD+SAv 5Ic8kS/yRv7II/kkr+R3juCZfJN38k8dqAd1oT7UiXpV26bhrm5bqSP1fPiE zi/DpV7jX/HpZuhavAVH539/D4vMV/g3edeK58pXGONaOY2GY48geHZtr5yf 5dxGrslyCTEU8bAd3EL5rKWFiMUbwT7SAoYZ8egcPRZWzuNhby1yLAfutx4F E/MhiC/4CL/uWIlfRWx2+Gg+zvziW5+v3DwVhzWbQuEg4nk35inB6ji/vZK3 hBrA3bUjfJy04Gqlia6B7TB4simqlzrgxrdz8WP1D7j47dcorYzE9JleePBD IM5s9ha5hhfu7AvHxp294eHVGl72zeDr1A4BTtawDdDHiLm2mLY9Rr7zM+/z e7Zje/Zjf47D8Tgux+c8nI/zcv7qJQ4SD3ERH3ESL3EreVd7xR5hF+2jnbSX dqvzFfJBXsgPeSJf5I38SR4Fn+SV/BpmJEi+yTv5pw7Ug7pQH+pEvagb9aOO Mmd5jnyF/mHv9GLyFfot/Zd+3NCv/zeuf7Yu7B/nHsCeX77HiYvH8EfxbP1L xKY/HN6FW7cuy5+5DunmvRsivr0p9y/wunzjAv6+dT3WfbcOF66cw8lrR3H4 wi/Y++sPyO7Hc38zkZ2dgcSsJHy2RVUPpVZdD6UOF2+dx9Axg5CcnIC+RYWP 1ZGR6636FKN7RCAiYiPRr7gQaSInyMvPFvlCschVXkWu+L6Ia7Pk8448WSel kM9j3Ozw6uQhuPbgIvbK9WAPWMhQ7hl/e8ZoNNbRl++PVPf5PduxPfuxP8cp UdXklOOLeXJLOO8AOT9xEA9xER9xEu9jNeSFPbSL9tFO2qvslbgteSAf5IX8 ZAuuJF+CN/JHHskneSW/5Jl8K05wX+pAPeT6MKEPdfpBnjF8/zlyDyV3oz/Q L+SQf+hDL9s6MOrAPO0aVk+chPHtMkS8my7/hj7LoB+mGxRiptHT64S4l2GW iJ1H2w7A95G2ONjNAFUWIkbuojpPuOFzFdUeElnnxCgS5ZY5KLfOQ41BT3xm 3xvnwwxwSVsD18TrpqUGLri0wM+hhljWIwyT3PMxVVfkTTqpmOqRheP5Ophr nYgZXQRGhzQU9hyLxA4zkKKvjvunIF1vHhI6VGFwxNtY4+CPpfohWGEYiFJV bRSu1ap/3iGfo4g8RC8JK43Ed/rBWK7TW1nj1WA9WJX5E+vBuM5Lp7dsL/uJ /nIc1TnHSs16pcZLqUuKrM1CHMRDXMRHnMQrcQv8tIP20C7aRztpL+2W9gse yAd5IT/kiXyRN/JHHskneSW/5Jl8K/UrH3/+I/XhecpCL+pG/agj9aSus561 /174Af2BfkH/oJ+Mb5cp/Yb+I/3oJVnH/yIu9Tqh+3u3YmXch5ipEY3NboFY 6iH01chHlVYaykVcX6XZGxXGmSh0moGEdhVI0yhDbOMqxBkJP86Zj3ffeQdL usRhvlEmznbSwzXNNrK++q12rXHBUB9bunkhP2oaolqXI6EJ6zjORrZOKQY4 T0QM69Cra9A/kaukNOc+++mIb70AQ0WssKRRHKbq9MUud2/c09XAKVcjzDXJ x/ymafI5yPz26chxnoOY5hVIbDsdZS3zZRz/PPmKjPdFe/Zjf47D8eS4YnzO c8rFSM7L+YmDeIgrvnWVxCnxPiNnoX20k/bSbtpPHsgHeSE/5Il8kTfyRx7J J3klvwk58yTf5J38UwfqQV2oj9RJ6DWjUb7UjzpST+pKfaXeL8m6SPW5f4dO nIC9h7IP+kXlK45uVeLnd/GP1wj9VcS2I2Dt8j4sIsLg5d0a3nYt4eGgCY9A E3iF8O/5diJW7ixi5cZwCusAk4ReIobOhEmSO8zc3oSd3V9h4zRcxtqW1u+h a9QM7N30Dc7s3IaTG77EgR+X4uTJbjj7SyROH0nB3fO9MbbSFqbdWsEjtP1j zyQ8w/Xg462j5CoWLeAd0A4bP3XFqHc6o1dRX5xZugeXV+7C6e3T0GewNvas c8XNXV1xdXtX4RfB2L43DBGF1nCzbQtv1nF0aAoPb5Frhdtg4ddueH1dBKrE Oz/zPr9nO7ZnP/bnOByP43J8zsP5OO+ZpbvRq7CvxENcxEecxEvcxN/wWRHt o520l3bTfvJAPiQvgh/yRL7IG/kjj+STvJJfkyQPGKZnSd7JP3WgHtSF+lAn 6kXdqB91pJ7Ulfo+W/eR0i/oHy8qX6Hf0n/pxw39+n/reu51Yaq49OjFU/hR xMDqv8//Ya5Sdw8P7t/E9mN75PlWd+7dxK1715V1QuL/y4yVt/60BWu+WoXD x/dDvZf99MUj2H1QqU3zzb7vkFiYi+ScLHz1/dfy3iPmKvLcrDqcvH4Kb733 FpLio5VnJk/UsyxW1XB3CvREbm6WPK+LnzMzRGw/oC/SB/4FJfnMV1T7TESe 0LekEM4hfgiJDMPI0g9w9eEVYcP3uH//BmfH/Ue1KBnxJpqbmMh3fpb3xfds x/YjRD/25zgcT9kbkyvn4XzpA18V8/eROIiHuIiPOGVN+WfUY6R9tJP20m4Z KwseHtUquST5SRa5Cvkib7zII/lUrlrJM/km7w9Uz6aoB3WhPtSJelE3uQ// uXKWWukX9I9/lMe+tOvAVP+P/emzZfiofQjKjDMwQ8SlMwyLUWrQB7OekavM 5B58nTR8ZFGIvVHWOOxviArzGHne1UrTdFXNxWDlGQb3S4hYnecAz7dIxWyr Aiw0icNK7lnXDcBqh944HmGAi/qNcd5CC+dMeLZVM1zVa4xrIhY/FKKDeRGJ GG3YD+sD/LCh0AMf2SvPAeZaJWGIxxDEd5qFVL2pMu5P1ZuOdINqpIm4KDNp AmqcwrC8fRDKLeJQwf3v+spZYUuNQ7BEvJaZiHeDJCwx5P76AJlzrDDJUMX2 wfV2VFmkyPf6vfms4SLaKTlKgOzPceR4xsr4ct2VmK9czFthHidxEA9xER9x Eq+Ce6q0g/bQLtpHO2kv7ab95IF8kBfyQ57IF3kjf+SRfJJX8kueyTd5J/8y ZzIKrreDOlEv6kb9qCP1pK7Ud+Yzzq2mP9Av6B/0E/oL/Yb+09Cf/q9fdap6 HPf2fyXyWZGja0RhaZt45KaWYWqHvljYLAVztVKwqGUUJti/ilybUsRqLJA1 4BPbVCA3YgpysqciNmoBZlvmyXN0VwdE4IZ2KxF3t8UvVmbY4ByIBdbxqGrR CxMcBiC+TSUyG5UiTqMSg7w+wDA3EeuLMdOazX5mvpLccrrIA0qR2G4+ygwK MEcrC9+7uABaGmKe5vjWS+T4rfKwoEkqFogcpMRzEmJbCIxNpiGr3VTMs8mX ZwfP13p8PdiktulP1KZUzh1me/Zjf47D8Tgux+c8nI/zcn7iIB7iIj7ilHif ka/QPtpJe2k37ScP5IO8kB/yRL7IG/kjj+STvJJf8pyTM1XwPhkJbSqkDtSD ulAf6kS9qBv1o47Uk7pSX+rcUPc/81W/h0X8FJ47GeYWw56v5t8/fY2EnYhH ndwXip//Ub4ichXHobB2mgDzwAy4u2vBy06J8X19jeEc6g73IDN4hGiKuEQL llGh0Et7FaYJEXAL04R1tyBYO46FHc8TE2M42M+AjdtMrFj9OS7s/gyHNy/B qT1bcHjHPvxyqD9++z4YJw72xpXzQXh3nCUsRGztEd4ebiKm9whrC/cwXbi7 6sLJuDFcLJohPF4L6z63xqpVTggo8kHBa33wwez5mDV1BRYv7oriNzrj2I6u OPmdL3Z/7oKJs73gl6EDx26G8HFtBy9HLfly99RGWL4rfvg5CDHzguQ7P/O+ ug3bsx/7cxyOx3E5PufhfJz3g7L5Eoe/wENcxEecxEvcxE87aI+0S9hHO2kv 7ab95IF8kBfJj+CJfJE38kceySd5Jb/kmXyTd/JPHagHdaE+1Il6UTfqRx2p J3Wlvs/OWUZKv6B/2P3TfPb5XvRX+i39t1bl0f/b0drzrAtTx5k8d3aTiH1r H9575r6Ep1+/1xD5+dD3uMd8hTGwai/+gV/3YtWXa7Bz/w48lDEvDy6/I/eA nLl4DDt+2om7D5SaLN/s/w5f7Fonf66tvSdrKjI/OH3jNAa+8wZy0tORlZfx RP1C1rdU6rJHJfaGT5i/fG7BNn2KCpGZlQKHhB5Iz8lAdk468vOy5XesKRLQ wx8BEf7om5uHNz4eiXu4gQOH9+Ly1bMSJ59PFBblQ8vaSr4rzyvq5Pdsx/bs x/4ch+MNUNVX5DycL128OD9rpRBPgeo5EHESL3EXFjxuD9vQTtpLu2m/8lzs luSFF3kiX7zIH3kkn3XybC6FZ/JN3sk/dVDvqac+1Il6UTdlz/wf56X0B/oF /YN+8qy896VcB8acS7zfOv09pvqLPEU7CzNNUlFmmI1ZBq+KePQZZxcbp8m/ 9X9smYPdKZY4GGws4usEef7UCsMILNOOlLH6UkNln8pKgyBUmSZijnUBFpin yvOxZNzMuF9P5DL2vXCkhz4u6zfBBdZmN20mXxfMNXFexOKy7optMyzPD8L2 KBv83dQHH5qVYJbAVW4Qj35WHyDGcA4yunyMZO2pSOss4r0Oi9Bbey6SMqdh brc4fBnkgdWhcVho0UvMGYTluoFY1dkfazv54pOOPbFau3d9nRS5z167p8AY 0eBZSYN8xUh5JiO/F+3U+/LZn+NwPI7L8TkP56sS864OUXAQD3ERH3ESL3ET P+2gPbSL9tFO2ku7aT95IB/khfzUcyV4I3/kkXySV1lnRuaJIZJ38k8dqMdy A6WWpcyphF7UjfpRR+pJXakvdX76nONU6Rf0D/rJTJMU6Tf0H/pRncqv/i9f 6pj19uGv8YlZmIhpk7GmYzTe9hmB6A7VKLMqRGXjaCzQjsM7ziMQ07kGCRoV SGoxH3m+M9C/aAyyImYgpmkVBpu9j5VteqFUIwvfBgfiSHd7rLULR7muyIFb xGERzzvWiMfSTgkodJwpz/1NalWBt9xHI918DlIaifi+WYO96iK2z5DPW0qR 3mSKiMkrkeNWikqzTMyPyMfi15Kwun8v3LZvhXLzDFRoZGJh+2S86Sdyn1bz kdZ8MlIalyFZZxbGBfbDQo1UuQ9FnZtUiDxlQtss+V6fw4jv2Y7t2Y/9OQ7H 47gcn/NwPs7L+Re/lijxEBfxESfxEjfx0476vTjNFDtpL+2m/eSBfJAX8kOe yBd5I3/kkXyWCV7J72DT9yXfWZEK/9SBelAX6kOdqBd1o37UkXpSV6mv0Jl6 N9T/z3zV1j7iXwIxadZGaBu+iHON1fHoIhH3/qN4dBjs7CfBzH0wPF1aw5v1 2XmusKc1fEO84RnSQcTCzWAd6Q2juDdhFF8Exwh9uAU2g1t4Ezh6JcPWbi4c HGfAyWkajCzHYvCYmbj4w3IRg6/A0e1rcfzrLTj3xU4c3vghzh0Ox6kjwbh2 LgSjxlvB3LstvMI6wql7S1j6toWNT1v499BEvzdMEV1kDJvoEPQbkouvtw7B aRHj3zoag+92ZqKNUwLefU8fE8eaiZygHUJ6tIWPR1tYddOHs39LuIQYw9Op rayF4uvSDpbeunh9vBuOHU+E53ue8p2feZ/fy5ovoj37sT/H4Xgcl+NzHs7X xjkB3+3IxG2Bg3i+3jJE4iNO4iVu4qcdtId20T7aSXtpN+0nD5IPwcuJb7ZI nsgXeSN/5JF8klfyS57Jt1tgU8k/daAe1IX6eAidpF5CN+rnLWvYtJa6Ul/q /Mx81knxj3+cz/4La8GEv9JvJ5VulH5Mf/5vuP5oXRhj0Yd1d7H5wHZc5blR rL/4HM9W1M9k9p49gD2n9wOqM8ZOXTiBtd+uxcadG3H99mUVintyD8VdES/f rb0r2hzH9z/skH0eiBj34yWz8WHpeNzmM5U68f/yh/dx/c5vGDz6beSkpStn eWWnPRXfc01Vv5JC8e/UD3Ep8XJNVb6492pJEWwjAuAUGYi+hXnIEjlLRmay PGvLv1cobPzd0aekQNYuGTTlPdyru4lff/sVB84rdTZ3n/4RaQU5aGNjI9/5 mRe/Zzu2Zz/25zgcj+NyfM7D+Tgv5ycO4iEu4iNO4iXuwmfkX7ST9tJu2k8e yAd5uV17W/JEvh5AOTuaPJJP8kp+5V4VKLkN+d+4Y6PUg7qoz/aiXtTtedf8 KVo/kP5BP6G/1D31/Uu4Dox/C390A0uHj8bHLeNQZpouYlGRt+gPQJlR7tPn gclchftGcvFlshP2hRigwiFe1jtcZuiPZcYibzFJkj+vNAjEYpPemGOVj3KL bCwx6oEV+v6qHEC1LonnANtGYH+wroi3G8ta7L/XZm+uisWb45KO+M6vBba/ aYOvY70wqVOOxFPeOR6DQoagl1kF4kxEDGQ2DXGuy/Fa0Fj0tRiNuWMScVb8 vr9k3BYng42wxCQUnxh1Q41TJGYmJGNo2tuYFdMXyxzDsFq/G5bq83mQyLuM ErBC2LKM+9VlXC/yFWv185UQeZ/fsx3bsx/7cxyOx3E5PufhfJyX8xMH8RAX 8REn8UrcAj/toD20i/bRTtpLu2m/5MFM4UXy06CGPfkjj+RT8qraL6Ssw/OX /FMH6kFdVsp9Lf6KXrSVPwsdqSd1pb7UmXo/nbOkSP+gn9Bf6Df0H/oR/Ul5 xvJn//fx/+9S772+cuQ7rLYIxTwNEf9r9sYYnnUl4t+4VuUYZD8E1XpJKHKc jljNSsQ2WYQCl+l4O+1dvJo0Fkl6lUjlmjARo49oMxyLjZOx3j4Qa2x7YG7n JFQ2i0ZNkxjUNItDdbMELGwufLFxL4y2H4QYrYVIaj0PM7r3R7qmyE+aiPxE Y7bc45GhUYp4jfmIaVGN+NZzEelQg349pmBk6DuYOPJ1xDlWw81tAzwHb8Tm UD+UaglfaZuAUb5DkdhyPlKazESK1iwxzhxEdanAq97vYbGqRmTDfGVc2+zH 8hV+z3Zsz37sz3E4Hsfl+JyH820O7QovMb+H23qJh7iIjziJl7glfmEH7VHs mi3tpL20m/aTB/JBXhbK+vUJki/yRv7mCB7JJ3klv+SZfJN38k8dqAd1oT7U iXpRN+pHHakndaW+UmeLEKl7Qz/4s14PVWv9l3yzE0Y2g+Hg9O/nK9YiDnVw q3z2eh+n4XB0nAgr50HCB1uKGLeZiHVbwdfVDu6hTiIObgGbHnYwjXoLhrHD RWzsCbcQDbjz3N5QkQ+I31lW/Bu+4yw4OL8HC+vh6Br9Ln7avgIntn+Oo9+u x6n163BmpXhfXoVfvv4CR06l4dRBP1w5EYzyNQ6wCGgC2zBNBBaYYuBk8Tt0 cV9s2vg6+g37CI4GbyHEfSy2rViG87JeZHec2JmBmz+E4pVhHli11Bap+Tpw MGoOD9vmcPfSg0d4F5FftIZTgPjZqY3MQ7xcO8AmuDMWrffC2f2J8M4X7wcS 5Wfe5/dsx/bsx/4cR44nxuX4nIfzvTLcQ8wfhhO70gUef4mL+IiTeImb+GkH 7aFdtI920l7aTfvJA/kgL5IfwRP5Im/kjzyST/JKfskz+Sbv5J86UA8joYuJ 0Memh73Ui7pRP+pIPakr9aXO1PtZ6wXpH9YvIF+hv9Jvlwr/bejP/w1Xw3Vh DffRq3OOn4/+gF/PKWcXP9c6MPHi3op7Ir/YsW877t67ght3rv0eG/+mjo0f 4EEtn7tw37fIVe7fEFge4NrVM9i7R9njM3l5OVLTU5GRmooPZn2sqjX5EGPL xiNT3OtTrDybyMhKfWL9lLJXPTMrDS4BnnItFeuu9xM5QUJGMjoHeKBYxP/F hcre9n4iZ0hKSxB5tKOsgZiVm47kxFj8ZdIw3Hh0DVevncXeg3skps/3bEJc ViY6ONjJd37mxe/Zju3Zj/05DsfjuByf88h1aoUFcn7iIB7iIj7iJF7ibnhm gPpFO+UzImE37ScP5IO8kB/yRL7Im8QkeCSf5JX8cq8K+eb5XspZ1XVSD5lD Cn2oE/WibtTvkXov/nPlLJB+Qn9R5zq/78t/ydaBqdbW7/vbEnzUKQKlJlly f8Js/T6YaVAk4tDUp9aAleqmYKJFHj5J8MXB0C6ocu+J5bqqc3y530M3Civ1 udf8ydg4QNZlVJ8Ppj4rbLl+EGqsw/FjoDGuPpmvqOLyc+ZauKrdCJuCnTGm W19MDstDhU48pjlkYpqY4685A/EX73cw0GcUJncvxlTTgZhjnyz3f3zl5ok7 No1xvkNnXLFsjsUJPTG05xAke09HmvUcxNgvR5J1KRJ9p2NCZAk+sRC5hU6w 8rxBOxLL+fxBdQZylZNyNjE/8/5y1XMJtmc/9uc4HI/jcnzOw/k4L+c/37Gz xENcxEecxEvcxE87aA/ton20k/bS7k0hzpIH8iHzFbPH8xXyRx7JJ3l9imue KSB0aJhDUifqRd2WqfbrUE/qejC0s9SZelP3J9eGSf8QfiL9hWvEhP/Qj+hP Df3r/9Kltvn0od2osYjAAg2RRzSNwgTbvyCyk/CJRlMR02gO+rhMRaHFdIRr rkKOeSlGhA/BiKQhyHWYLmPmZI25iGu7AAmG8/Bx9ms47a6De0Ya+MHGEfNF XLxEU8lTqpvHi1eCrMte0yQelQYpSNCbh1cNx+Ntv3eRIOLpJBHXx7apQmrz ckTaLsUgr9F4NeBDrM7ogW89uuOyGHt2RC5StGcjutECOJhvQHKLCswJKsFi rXiM9h6KuJYL5BliKS2niRxD5AeNRW7dYgH6dxyNxc15drGSr1RqKmcIj2mb J98r69eIZcp2bM9+7M9xOB7H5fich/Nx3uQW82Bv8aXEQ1zER5zES9zETzto D+2ifbST9tLuVw3GSx7IB3khP+RJ8iV4I3/ML8gneSW/5Jl8k/dkuRasUupB XagPdaJe1I36UUfqSV2pL3Wm3tSd+jf0hz/jpf5f3PXbd+AW8AGsbEco9Tf+ jRiS59XaPXVe7UjlLDDH8bAzY61AU/g4NoGffRt4eNiKuNcGduF2MIvoD5Oe k2HeK07cay3iZE3xMoJbkBVceT5VsB4cemrD3F3kVg4jYCTwTpldjUs7v8TR zz7BiTXVOL22Ghc+24UT69bg2Kat+HnfWJw86Ynr53th0/EE9BicijGfDcaW beuxd20VJr9TgRCPD2Hc5E10dRmJTSuW49zuLFzc7IpTP6Tj/I5QnNsVjQ3r 87DnCzt092kLTwcteDuLHCNYdT5XaDu4dO0IT0fG7M3h5qEH/1w9HDsaiJ/3 5sA1zgM//5QjP/M+v2c7tmc/9pfnk4nxOC7H5zycj/Ny/nMCx0mBh7iIjziJ l7iJn3bs/bRK2kX7aCftpd0nT3pJHsgHeTkv+CFP5Iu8kT/ySD7Jq+RX8Ey+ ybtbkLXQwVjqQV3MhD7UiXpRN+dQW6kj9aSu1FfqLPRWzgwb+Xu+wvPI/qXz rp/9op/SX+m39N+G/vzfcD1rXdgjVa5y+tJJ7DrCOL1WtHv4XHtWakWcy/0Q tXV3se34buw6sAOffP0JDvzCtUcP5Lg8m4ptbon4+f6D2/V9+f2NK7/hp0O7 sGDjMhF7p6AP6zeK+DwlLQuT5k5GxfpFSE1LRd9inq+Vj4K8bGRlpsifGz5b eaWkGEG9wxAUFSZ/lmuuRB+DYD8EJ/bGK6xxL/eOFCAvLwv2rAsvxuFarKKi fOSkpWHw9HdwvfYSrt/4DesPfIMHAufSFZWITUxFe1cX+c7PvL/+wNeyHduz H/tzHI7HcTk+5+F8nJfzE4dBsK/EVaDGLPASN39u+IyF9tFO2sufaT95IB/k hfyQJ/JF3sgfeSSfkvc6RSPyTd5vqc5oU9boPZD6UCfqRd2on9RRPtd6jr0s 9A/hJ/QX+o08p/WhUjPypVsH9gi4I/KyWQHpmKadhVnGKZjBvfX6/VEqYtEZ DWtCGilrwCZZ5mJVQnecCGuNZd6BWKoTItdDLeE+DRHrrjQWMYsF1x7lo9JE xGpy7VFgfczMvRMNa4GsEHH1Quse2BHkgGsGIq8w4xowTfxm2AyXREx+Sb8J rupo4LanBpb2FjmVZyYmTeuDfi6jURA6HrGWc5BqOR2z7EVsrx0jMBaiVL8Q s7ST8JFdAT6P8sP1Tq1w1UAL+6MN8Ub2CIR2qUJap2nI6FiNzM4iBusyBUkd ZiLaohzvpvTDGkuRs+iFYoVphsAaKvfpc5/9QodU+c7P8r74nu3Ynv1iRH+O w/E4LsfnPJzvjeyROCDmJw7iIS7iI07iJW7ipx20h3bRPtpJe2k37ScP5IO8 kB/yRL7IG/kjj+STvDast6LsWVGfJR0odaE+UiehF3WjftSRekpdhb7UmXpT d7k2rEHOQv+gn9Bf6Df0H+lHwp/oV/Sv/0vrwtT7do7+fAAVpglYpBEr66Av MEhHpsNMpGl8LOLyucgxnoMxkcOQZjsf7/q9iUkRJfiL7weI15qPGI0qJLaf j3z7MoxyGIY5uvy3lILTJtq43rkVNgQGo0pDxOAtRL6iGY9FLRKwUDNRxuTV zeLwaaMwvOX5Af7iMx4jTUehp+0SvGk3Bm/5vYfKmGysdwnD4e42uNFFU4yn iUcaGvilhy1yXGcjU2MmXF03oGcr8e/CaQ6m5/bDaLPhiBafUzVmixxi2u/7 25vORmyjeRhlOgQ1XMvVPOOxfOX91oWP5Sv8nu3Ynv3YXz2WHFeMz3k4H+fN dJqNyNY1cHXZIHDNkviIk3iJm/hpB+2hXbSPdtJe2k37yQP5qJbPVOIlT+SL vJE/8kg+ySv5Jc/km7yTf+pAPagL9aFO1Iu6UT/qSD2pK/Wlzkrd+1ipP/2g oV/8Ka86/t/wIeJLpsLMbBjs/51zjUUMaWc3Ck5W78O2/ryxkbJ+ur3jONjp fwRbm1ARZ2soa6e8PGATEg3zkGKYh86EeY/XYN3DHO6hzcXLDO5hLvAME7Fy uCHcwjvBhTVGQpvBPDwcFlZT4R/xMQ58sRJnVi/GydU1OL16GU6u+Ryn/rYX h7/7Ent/mo0TZwZh67EJGF06G13j3oej72SEJ8xHWNgHcDMZBvMOb8Gq5evw dhuBL6pXidi9CBe2OOD8ziiRr2Tg4lZHnNnxNka+PxpvTDZCV49W8LJrDi9P bbiFaYt4nvUa28Pdpw287LXgK/INKw9tDC+1xr2L4fj7l91gHWEt3++Kz8NK reT3Ps6tZXv2Y3+Ow/E4LsfnPJyP83J+4pD5085eAp+jxEm8xE38tIP20C7a RztpL+2m/SfOvC35IC/khzxJvgRv5I88kk/ySn7Js+Rb8O4ebqToIPSQugh9 qBP1kroJ/agj9aSu1Jc6U2/qbuvcoKak8Av6B/3E9t/Ijemn9Ff6Lf33v/FR vzqGPHDyMH6V9QlFPHbnMjb/vBn3a2/Kv8/X1dX+Qa5yV/4N/14t96E8wOHj +1CxpBxrvvtExL2qWPXRPaX2x/2beMA4+FHDtWd35PesW/jWzKHIzk1HCffP s34ia5Fk52PImBHY+ONGFLwi8o+cbBmfs/5IVlb6Y/lKkfpZRaAnMrLS5Hev iLbBCdHQC/YW+UFB/fqxEnHfPsAbvZKi0V+VI8j50tLxQfk43H4ksNfdwQ/7 d+DKvXP4sHwsesXEoLW9vXznZ97/Yf9O2Y7t2Y/9OY5SE7JYjs95OJ96fRdx EE9IYrTER5zES9zKmct5j+crwk7aK58rCfvJA/kgL+SnWNacyZO8kT/yKOt0 Prr3xJ6SO5J/7rGnHnWPlDVi1Il6UTfqRx3vPbgjdVXnO/84X6mVfkJ/od/Q f3jRnw6ePPyYn/2Zr0ePlForX479EBNaZ6HUJAWzDLNQpsca9hkNapur99Yr +1XWJvrgt1BNfOrji8U6YVhmHKw6CzgQC0ziMMc4G1UWuVhmEI6VRoFYYqiq O2IU/Hj9D9WL/aqsIrE5wA839TRwUa8xbhiLeNyxKU7btBHxcgd86+2I7yJF Xp07F4naszA3Jw1JlrOQ2HYGUjpPQ5r5VEwKFXmWDutWEn8WZuqlYqpDFo4H 6+Nep2b4rocHxrv2wUjvgUgxnyHGqUGyXrnqbK7psv5JWscpiDEtw4ex/bDW 2B/LtHtjmY7IU/R6oMamB+bn9JHv/Mz7y7SjZDu2Zz/2l3VUxHgcl+NzHs43 0vs1jHfrg+8iPCQe4iI+4iReiVvgpx20h3bRPtpJe2k37ScP5IO8kB/yRL7I G/kjj+STvD7J9TKVDtSDulAf6kS9qNsC1RkIcr2e0JX6UmfqTd2p/6zHchZ1 Ppsh/Yb+Qz+iP9GvZK7/6L/nGfx/8nr0UHWe0q5fUKYvYnONaBEXJ2F5q94Y 7PZXRGrMQ3iXFRgUNBqr/GJxwN0Oi3rHYJTH20g3KUPP5kuRorMA/WwmYrzN AFTqJGJhi96obJ6I0mb5WOfeEzfM2qDSO1XE2YnKuqZmsVim0RurWvVEtXY8 qjql4SPXfujTdQbWT++N6uQULPWPww4PL5y31sXldh1wr62I9TVa42K7Frjc pC3uWLfDsFAR52tUI7rLQrg5b5D7QPoZiRgufyR6ay+WuURKS+GTzcrq659w f3uiRjkGdn8PC3RFTtJU5CtaIl9pztwkHe/pl8h3fuZ9fs92bM9+9fv/xXgc l+NzHs7HeTk/69i7O/8dMSLf76lRI3B+IPESN/HTDtpDu2gf7aS9tPtv03qj j98MyQd5IT/kiXyRN/JHHsnnDbPWkl/yTL4l74J/6kA9qAv1oU7Ui7pRP+pI Pakr9aXO1Ju6U3/6Af2hoX/82S71+a+T530JbZN/bw8L/37uyL3w1u/Dxlnc 41lRzu/CyX4inHVHwKHLSJi6RsDBuato9zosAt6BdeB4WAVPgHlENJxEXuIX YgPP4K5w7WYFn6668O2mB18/Pfj4iPygq76IlY1F7GwGPRPxu754Bi7/7VP8 snYJjn26BPu/nYTT3w7CoT3v4MypeJw/G4LFX5ujq4htjMw+gKWNwGgxHjZt B8FOvJx1hsCpwyC4i7j5k8oVuLKrGOe3OoncwB8n92bi4vYQXNjujX1fitzI bzQsY3Tgw/MB7FvCw99AeS7Cc5HF72pP33bKHg7Wj4k1xKbvvXHnTDAq/x4A s27a8p2feZ/fs51sL/qxv1LzsZ0cl+NzHs7HeTk/cRDPyR8zcWmLv8RJvMRN /LSD9tAu2kc7aS/tpv3kgXyQF/JDnsgXeSN/5JF8klfyS57JN3kn/9SBelAX j+BuUifqRd2oH3Wkng5CV3tnP0VnoTd1p/70A/oD/YL+QT/5d84Hk3tXhL/S bxv68X/b9fu6sF24fucSth35XtYClHtWWM9R5ivPXg8m1389uMVTsnD20il8 9t3n2LhtA05fOYEjp3/BNwe3y9qCB0Xseuu2crYx6uugK+uJ5N/xxbX2uzUw 87GRzwnUZxMz/s7Iz8eWg9tkm21ivJz+Iu7PyUFufrbcE6LOV5gHcC9IfEoc PEN8Vedz5cn1V10C3BGXkSjXX8nnGX2K4Rvih8DIYPmzes8+12JlpaVhSuUk 3K+7KveqHzl7GIevHMOb40YgJi4Grezt5Ds/8/6Rc0dku/t112Q/9lev6VLP xXk4n3ou4iCezgJXsTyfLE/iJW7ipx3qvErmK8JO2ku7aT954EVeyE+J+nw0 PpMSL/JIPnmR3/r1fPI51yOpA/WgLqwBSp2oF3WjftSRej6SZ1H/s/Vhd6R/ SD8RY9Nv6D/0I/rTS7MOTBVDnjv9EybapmO2bn+UmeRimgFjzjzV/nrWXnk8 V/k6xQlXA5tinWc3LNLpgeXGyrOTJSZRKLfKRbllNpabxGKFTiRWGKVgmb74 2UjEVAahyroqER8vNw5UztbVC8ZynhvcKQilFon4PKQ3rts2x8+9DPCNiwu+ CXfBAvdeWGYdghqjMIzrUYQkvRno4VmDCot45OmMR5L+DKR1mYpYq9l4PXwo yrUzBOZ+ImYWuUonET9FJclYZFugN0a7DEBZpyRMd8hEqnMN0jrNE/mE6hxh 9ctgGtI7TkZPmypM9k/DUtaQ8UzBl/7O+PV1C5zPs5Xv/Mz7/J7t2J792L/h eByf83A+zsv5iWObyPeJa57AR5zES9zETztoD+2ifbST9tJu2k8eyAd5IT/k iXyRN/JHHskneSW/8jwDwTd5V/gPkXpIXaQ+KVIv6kb9qCP1pK7UlzpTb+pO /T+2zK3PWWbU5yyp0m/oP/Qj+hP9iv7V0N9eyot1i1R/Pj/41X6UdsnCYhET V2slYVGTBCzrGI5XwkajKG0SaqKycNLFADfbN8adzs2xMqknYl0XIaVTOYa6 vIfploWoah+NBZoxqNBMRgXXWLXMwMImySgXOeC37sHi+zSsbhmJBTrJWCh0 GOP1Gt7Wfg85XjPRy3QJku3mISz0E4wvHIZzJnq42rEd7mi1wLXmbXGtRVtc btFBxPrtcE2zOW6YdkaVczaSbefJZys2Tt8gTmseejddhPKQfGxP7YpoG/Fv pfEMpGjOeqJW41zlzGXvOSjTzsMC1pJsli6wi5dbPt6z7Cvf+VneF9+zHduz H/s3rFnJ8TkP59ue6ifnJw7isXX8GlmNZkqcxPv/cfcdUFlcXdfE2CtIEakK 0pt0sKEIio0qvSt20zXGqNFoNJbYpaqo2I09vbwxxt4TjYm9awSx9wL7P/vO A6LJ+71J3n+tz3yz1qxxZm45Z++tnvPcuffSbtpPP+gP/aJ/9JP+Xm7WFFMy 30VI8EaFB3FJ981WOBEv4kb8iCPxJK7ElzgTb+JO/MkD+SAv5Ic8kS/yRv7I I/kkr+SXPJNv8k7+qQPqgbrgoXTyD/v/44nu7+4Xu/fCxkni3X+7Fu1/OkfD weVduLWcDXvXWRKbDpfYdCxcHKfBo8m7EksPgZfJe3A2ykELx0I4B02Hc/BE 2LQbC6egrghs0wI+fp7wczeDr4fE/6514Cv/3vk4SH7gVl/eGcG3vRE8O9eD h8T19p3dsPDzybiyZTiO7E7Gb3uC8NvuVnK649bJBJw51Q2DP2oGx3YNYdde H80DR8DFbobEz2/DvekweFoOg3OjIfB2G4s1K+ajdG+G5AAeuLItAL/t64EL +2NQstUbJYe6Yu28+WhuNBrde4UhOOAleLoYSDxvpq0hzP3lQxrDN8AQAS41 4ehmgjdnOqL0fAdcPxuEnE87wNK7kbryns/5nuVYnvVaVuxTH9xAtcv22U/3 zDDVL/unHbTn4v6euCz20U7aS7tpP/2gP/SL/tFP+ku/6T9xIB7EhfgQJ4WX 4Eb8iCPxJK7ElzgTb4U78ScP5INrm3noK57IF3kjfzZtxyk+yasd+RWeyTd5 J//UAfVAXVAf1An18u/XPv4P34NJPeqVuq2q4xftqIgnb96/jc+3f4Gzlzg3 WjfnuvzRv8lXtH1QHuMBrt8txZb93+PT7zfi1KWTEuM+xsPH9/FQ5TK3cO3W bzh28Qj2nNiHvcf34eilo7hxu1i3vvEj1fdP5w4hJj0RLdq4qT3ptb3peyE9 MRGjpn0g1jxCGb8fk2PX0d3IGJiF5KR4pPdKkXg/85k9VwJC26JrdDeJ+bMw uG8WvLt3FM201ea3Z6RJztAXHXt0kpzWDwPlWdVvrzinPSlO/m1enody3FX7 M14TW7/d/QX6DshEYnIS6ru4qCvv+ZzvWa4c91Q91mc7z+wFQzukP/bL/mkH 7aFdtI920l7aTfur7sVC/+gn/aXfu47tVjgQD+JCfIhTH12ORPyII/Ekrtrx SOFN3Ik/eSAf5IX8kCfyRd7I32nhkXyS1+t3ShXPWs7yex0ofZQ/erovi+iH OqKequrrn3toe62US9634q1xmNEgAnnNM5FrPBBzm2ZKDBpfOaZSMbd+coss 7Ilxxq2A6tjg2QFLTDthrWUbrLIMRWGLZBTYZmJZsx7a+sQ8VW4iMbFVZ3nW HWtNo7DaNFrOcCw37ooi2+5Y7dQeRa5d8EWYH7b7umBjYjxWOHXDKqcOWNSs m5QLUXPGlzcNwefW/hjW/m10NSxEUvhHKOoZjlTraehpIvlKkxnoYT4PA+0+ wIKmXB+gN/LMe+IjsWlrG18c6WCH8YGDkWfCb93ikNciE6/4z0G0UR7idfkK 1xFOaDJL4pFZiDLNQ4RVAQb0m4KDPdxwwdkQxWMa42ZIPRS3s9aucs/nfM9y LM96rM92nq6rPFP1w/7Yr+rfOE7ZQ7toH+2kvbSb9tMP+kO/6B/9XBwTLn5P Vf4TB+JBXBQ+ghPxIm7EjzgST+JKfBXOgjdxJ/7kYa3a27K74oc8aWu5BSn+ yCP5JK/klzyTb/JO/qkD6qFyDr5lxbdh8Uo/1BH1RF1RX+Vq/tj/0T1Zyrlf Mv9wH78OeQe5L8dgZXWOq8RiWR3JWWqGobC+5I6esSjxN8XDOnq4r6eHYncD LGmdjOH249DbKxsf+gzEqlqdsaB2FBbWidfGJF5OwqLqCWrPxDn1szDfIBU5 PgMwssMIvGPyPjI9Z6OT8WpEWxahu+NyvGYxCWNdhmGpWQLethiLTh3X4kxb K9zTq42S+ka41lAfV+sZ4FpNfdyuUw2XvJpgjV0UpjR/FSl18tDGbAMCW3yC RMklUjoV4IqXKW630MeggMmIfCkfCdV/vxZyQrU8dDZdhJz6vbC4Rpxas3hB dF8sckzHe/X7qSvv+ZzvWY7lWe/5NYnZPvthf+yX/dMO2hNg9ynaNN2g7KS9 tJv20w/6o/wS/+gn/aXf9P9ti3EKD+JCfIgT8SJuxI84Ek/iSnwVzoI3cVf4 kwfhg7yQH/JEvsjbUuGvRHgkn+SV/JJn8k3eFf+iA+qBuqA+qBOll/IXM3b6 o6Piv7vb9++hZeh42DtwDsvfiSG1fMXVMw8uHjlw5PiK/TS4mwyHh+lQuBqN h4dJDloG5MC524dw8c2FY8sP4Brog0A3yVGcjbV92525Pu7L8Jc/+/vUhVcH I7iHWMOlmxmsQ1rBsW1XNA3Igkf7idj9cz7OXeiC61u9ULJD4vctfrj5S3fs /CUU3fq0hG2gvtRvCK/O9eHQJhj2ph/Aw+g9eDcZCYe6o+Dn/SG+2DgB1w6F 4PI2yU22t5J22qkxjJIdQXLvjpJ9b2HU4Bw0qf0uRue9gR4x9eDuYQrPUCPJ Lxpq+zNKvuHXSmJ7O4nlI6yw53Br/Ha8PW5cao9Zc/1gblcXs+V687f26jnf sxzL+7UyVPW1/SsbqnbZPvthf+yX/dOOku1uyq7ztG9nO2Uv7ab99IP+0C/6 Rz/tTccpv+k/cSAexIX4ECfiRdyIH3EknsSV+BJn4k3ciT95IB/khfyQJ/JF 3sgfeSSfLn65il/y7GGSq/Eu/FMH1AN1QX1QJ383X6E+qVPqlbqtquMX7aia r2zY+jkuXT0DLV+5WxmLVsSp2u/02rpQnMO979c9WP/9Bhw8uh8PHku8++Q+ 7j64rf2mr2JZbW6KNlfigfpNn2tp/Xh8P3ZK3H3y4jHsPLcfvYYOQlpKMuxC vZDVm+MNmSpOT0hJwGc7vlT2PXnM/EEbi9lzfC/ie6cgLTmx8jsrjkNwD3vX IB+1fjD3fE9OTYJ+W0+kpiervU04pyQyLhIObb3VHJPn9zvh91bxcbFYt4H7 IpTh9r0SPLx/HZO+KUBG3zSkp6Wp8RVeeT9ZnvM9y7E867F+P51NVfeDYX/s l/3TDj6jXbSPdtJe2k376UfFuBH9o5/xWSnKbw2LOwoPHsSHOKm8LTNT4Ucc iSdxJb4KZ8GbuBN/bazrASrmsJAn8kXeyN8j4ZF8klfyu+/IHtxW+9BoWni6 /sLTnFbpRdqjfqij/yv5SsX8z+NfFeEjky7It0pGtlU6so0HIdeiV+Xaxdpe kPH4wGUw9nR2x13P6ljtzW+hQrHOsj0WcX1ch94oah6r1stVe9lbB2ONvFNr hXE/RtMOKDLrjCLHblhtFYrl3rHY0dYfP7gH42TbZrhi3RhXm1VHmY0ejnq2 woqGIVjTpA3WN+U6VZxLEaLaWe4YitSw6YionY+hUUPwQcZAhNtKvGSsfX8V aZiL4d4jMN+2v+QEScjh7//e6TifYI957WOQbZKg5lbkWGUi36gv3m4zHFE2 uUg0kfrGsxBjmI0Ii3zEtczFgFbj8aFfP0xz6YWv2/hgz4jWOBcuOUvTGihO s1dX3u+W53zPcizPeqzPdtge22X77If9sV/2r+YIiT2063yivbKT9tJu2k8/ 6I/6Pk38C7edi/EZA5Tf9J84EA+1BoDgQ5yIF3EjfsSReBJX4kuciTdxJ/7k gXyQF/Kj1g4Qvsgb+VNjMFz/WHglv+SZfJN38k8d7AlzV7qgPp7uKRmv9EMd UU/UFfVFnVXV3f+Zo5xrUPLfgoc48u5bKNALw4paEqvWlrNOFyyu2RVzDdOx y9cP1w1r4bbEtQ8avYRtXTrgtagpiLPMR7T+PPTUm4PUFlMx3TELS/XikfdS BrL1BXcjrtOXhU9ad8G/LDvgZx9HXGtlhnFhQ9DG/TNkNpuDIbbjMMNpEBY2 TsbyxjFSPwaLDBIRa78QQwzHYYNPOK46NsH96rVw66X6uF+jNm6b18NuHzfk 2WVgWbUYDG8xGt3rLYaH/3dq/ntC8wJ8ERGGe/Xr4FqDRhieMhSRtYqQWO33 +03GcrxFfyaKTFOwqEY8Pkx9A/NaZqBQLwHvWQ5WV97zOd+zHMvHVvuD/R6l ffbD/tgv+/8iMkzZw/LufpvQo94SvCP20m7aTz/oD/1S/omfV52aYINvuPKf OBAP4kJ8iBPxIm7EjzgST+JKfIkz8SbuCn/hgXyQF/JDnsgXeSN/5JF8klfy S57JN3kn/9QB9UBdUB/UibbfQvk/JmdRq22WlXPFVbw2egUsrIZJPPn38hVH 1xGwd5sFd68COLSYCLcmwyVOfQdeBpPg4TQfzl3mwq1dNtwtF8DFZgS8vYzR 2rkG/F1fklMPPh56aOmpD8+AZrAPc0WLdjGw79ADFv5vwMF9JGzdx8HRZTLs mo9BcMZkHNvxGY7+Mg/nzkWheIs/bu5rjx9+DEVAqj4c/S3h39EeXp0M4N3O Gv5u1eHmbgMn12gYWfRGSEQ8dnyfhFs/+qN4qy+Kd7RB6XY/XNgfi0t7w3Fl qzzf442ju0ahW/AUWNZ7S3KPfLwzzBZ2Hkbw7qSv7Smvy1cCJV+xt6uHj5b5 4vrF9jh9pB1KJV8ZMckBzWxrqivv+ZzvWY7lA5/JV/RVu2yf/bA/9sv+aQft oV1q/OdArLKXdtN++kF/6Bf9c3KNUv7Sb/pPHIgHcSE+xIl4ETfiRxyJJ3El vsSZeBN34k8eFB/CC/khT+SLvJE/8kg+ySv5Jc/OXeYJ74WKf3eTYUoP1AX1 QZ1QL38nX6E+qVPqlbqlfl/UqI3x5CP5v5F7DF6/U4wdv+7U7SMp/06UPXpu 3bBHnDWPw2d/wcbNG7H5wGZcl9j3SfkjtVd6Gdfxem6+Q3nV+Fa354fa8/7+ HZwo/VXy02g4BraEb/tWaOJrh8TkePTv1xsDs7IwYGBfXLx6CmXl/K5bi5Wf 6MZZthzajNT+meidnqa+gxrYp4+2V3ynIPTvm4VBWb0lbm8D/x6dMFjlB72Q lpYIZ39XpKYmqPzg+bWQ+zFHktzhsz2bBZcHKL12Qe1hMrpwKiJ7RqKXvK/r 5KiuvH9PnvO9KiflWY/1+z23fyX7YX/sl/3TDtpDu2gf7aS9tJv20w/6Q796 S25EP7f8vFn5rfzn+JbgQVyID3EiXsSN+BFH4klciS9xJt5V8a/IP3+3V2j5 fcUj+SSv5Jc8k2/y/gRaDlp1HTBNJw+Vbqgf6oh6oq7+2flKufqd4Un5dRTF 98EsQ4kxrZOR33SAxJ3pyDXj92Cpaj/AOcaJmNi2P3Z28MAdx5exulVHLLPs hJXNuquxgsIWSRLfcg3gNmrPdv7Wz/kOCy26YUWLEKxq3hHr2rTDj2422Bts i8tR9XDc1wDnPRrihlctlERZ4li8LQ4k+OJAshM+GRiFRdHxWNUyDAttu2CN RxA+NQ/ABv02WBAShRjHPETUyceEjFfwevRohDcoUDF9vNls9DSYjawus5Dr 1Bd5ZrGY3oRrAkRgRVgCphulIc+Sc3OSMVf8yzdLxkz3NETb5iHSKB9RLfKR Hjgdbwe8jZkt0zGveYz6bmuGSRoWj4nE0QQHXK33EoqdaqNkgIO68v6IPOd7 lmN51mN9tsP22C7bZz/sj/3OVfgmK3to14rOCcpO2ku7aT/9oD/0i/7Rz9di Riu/ma/EOOYqPIgL8SFOxIu4ET/iSDyJK/ElzsSbuBN/8kA+yAv5IU/kS/HW RBuzIZ/klfySZ/JN3sk/dUA9UBfUB3WSq/BN1fTDXIV6El1RX9QZ9ab9tfkn /92pcogzWq7yCIdHv4kFeiFYXof7PkZJjNoZC6pLzmIXjZ8dHfCkPtdHqIPT 9taYG5yJUPeNiOTe63q5iOJ8jbpLEd1wERJdC/BR3EDsdG2FL2xCcDqwGUob GOG+eW3cb8J1rI2xM9YLe91bYndnf8z0HIhVL0eqb5gW1UxAYS1tXCDbvi+6 WSzH2y5jxK5ELLFPwBbvQBwJtcEPbm2wxqs7ckR7C/SSsFBi8ldspsDL+iu0 M16HFMtsjPd/HVscA3Hn5bq4Y1INmzq0R9e6K/8wX4nTmy85eTamtpG/k5Fj MM2rH5bo8du1ZIywfFVdec/nfD+19WBVnvX+KF9hP+yP/bL/rWIH7aFd7YzX w1vsfMV2irKb9tMP+kO/lH/erZS/9Jv+E4ds+z4KF4WP4ES8iBvxI47Ek7gS X+JMvIk78ScP5IO8kB/yRL6idPyRR/JZ0DFT8UueyTd5J/9KB6IH6oL6oE6o F+3/m/IX90ff546KfSvyP94K42ZvwdX9785hGQEnh0lwaTEHbiZD4NV4ONys cuHWfrXE44vRsnkePAynw9PoQzi2SJbY2RCOvk1g29IbTk6xcA2IgWXbN9DC YwLsPN9FCxcp5/ghnJ0592E0nFxGwdljJKxt3kXyoKk48+ManNz8KQ7/WoCL J7vhxN5gdOxjDseA+vDp1Aj+wc3Qup03/Nzqy1kLgS7VYeeoh+TBFji92wO3 9/jgt62BKNnRGiUS+5fsDpE8IAGlcl8s96W7g/HNyoXwsR4BS/2hyJs9H7Pn RsG2dWN4ce6KLl/xCTOCq0sjpAyyw8WL0saxdrh4PAhnz7VH1EgLODjWVFfe 87l6L+VYnvVYvyJfYbtsn/2wP/bL/mkH7aFdV8Q+zr0v2RWi2S339IP+0C/6 Rz/pL/2m/8SBeBAX4kOciBdxI37EkXgSV+JLnIk3cVf4Cw/kQ/Ei/JAn8kXe yB95VHwKr+SXPJNv8k7+qQOlB9EF9UGdaPnK35i7IvqkTvNXb31Gvy/aURFL 7j35E86rcRWg+PoF7D7G9ZeZr/B3c8a42m/xF65cwMYtX+KTrV/g3JWzan4D 9yFU60H9ibWktDkvknOoufnlmLUsHxnJyeiTlYnuMT1g6NYMLu084RPcCu06 d0Dvka/Lv1TaPh7q/+5y7Tu1J4/42/099W1Y+sAs9EpNwYB+feDZ3h8xCdF4 pW9f9EiIgjHXL+6tfVOVlZUBh7Y+iIiLUusLP7/PiRrLyMxEWlYqvju+GWWP b+H27RKFyesThiC4S0f1zVUdR3t15T2f82A5lmc91mc7z7et7QuTpfqnHbSn j27/etpJe2k37acf9Id+0T/6SX/pt/adXsVeDWUKH+JEvIgb8SOOxJO4El/i TLyJe9mfXJuafCquyK/wTL7JO/mnDirGzKgP6oR6oW6oHx7UE3VVVWf/tKPi N+5DX6/CZONIFFglItt8ILIteknM2VPODOSZ98Uso2QUdI7GwVAr3LbWwycd A1FkG4WFdskSv0qcbdkNa5q0w7ImoVhg2wOrbTtgqWMYNgV5YL9HC+xNssGZ AGOcSDbFlz398b2DD76KDcCMyDRMaDEABTaxyHePRU7LBMzySEE+43zXyUhw WoXkpgvRJXAjXg9/H8PaDsfioDAMDhyJrlaFSGg0Ez27zkOUSx7ijWYhruls xJrOVuMQ3Tw/wXTbfsg1iUGuWyZW9Zf8wToNueZxyLZKwqymr0hOkIF5TaKQ 45KIXtFTMcBnvMRDA5DnkIB5ZpKnNOX6VkmY6DwAm14Vn+O6YluAH+5Y18Nl +1ooftdFXXnP53y/6bVAVZ71WJ/tsD22y/bZD/tjv+yfdtAe2kX7aCftpd20 n37QH/pF/+hnpPhLv+k/cRgcOErhQnyIE/EibsTvbZfJCk/iSnyJM/Em7sT/ q54B+N7eR/FCfsgT+SJv5I88kk/ySn7JM/km7+SfOqAeqAvqgzqhXqgb6oc6 op6oK+qLOqPequrvn3yov/vqo57H2PXBW1ioJ3l8nXgsa8A5K2GYVzcR61v0 wG3H2rhu9jL2ubXEelfJK/QjMdrudUT4FCDKex76B03G+y1G4hWTSZjc8VUs NknHYq8YXPQwAmpWw3V9A5x1s8ZWm0BsaNkV+fVTsS24NR5ITPxQrwYOuHhi hu0gLHo5HgvraPubrKwVjSE24xDZeDHm2WdgcfU4zH85Bbn6vbDATP6uN+6F ghrcuyVBjXfMb5qOzs1Wwb3Ft4iyKMIEuzexsl4ULvlaobROHdytUQOb/dog pbXkKnpzn+45qb7fKpBn89CzruTQAxZgvPMbWKbXU83/mF83GcNt3lRX3vP5 B05vIGbgAlWe9RKqrA+m2pX22Q/7Y7/sn3bQngl2byj7XFv8C2FiL+2m/fSD /tAv+kc/6S/9pv/EgXgQF7U/jOBEvIgb8SOOxJO4El/iTLyJO/EnD+RjsVe0 4oc8kS/yRv7II/kkr0v0oxTP5Ju8k3/qgHqgLpQ+RCfUC3VD/VBH/4T/S8p0 Nv50+iycW/K7Ls4P+ItxpMtIqTseLta58DAYAjezCXBv+THcO3wGD4d5aMkx FuP3tPkjxpITmUgcbD0GTo7jYec2HQ5uM+HoPAnOTmNUnOzE/MR1JBzd5Kwy L5u/rVs2H4F+r06TmH09Tmz/GMc3f4LzZ5aif7YXWvjUgjfXEgtuAM+O5vD1 sEaAmw287fXhKrH72PHNULqvFa7vaIPftvH7r0B1lm4PxPkDcbi8u5Pc+8s7 f9z9uSNmTZgDe+N30KzhW5j+2jx8/r3YFVZHYh59bX58aCM4t9ZHx1gLHPop FMWn2+Os5CO/nQzCcbm2ymgCJ99GaJXeRN3zOd+zHMuzHuuzHbbHdtk++2F/ 7Jf90467hzsqu66IfbST9tLuCh/oD/2if/ST/tJv+k8ciAdxIT7EiXgRN+JH HIkncSW+z46xjVI8kA+nirxReCJf5I38kUfySV7JL3km34p34Z86oB6oC+qD OqFe1JoMf2neyntKn9Qp9VpVvy/SUfH3/mzJRfxymnHlE4m5OXZRhp9PH8TJ 345VlMSdhzfwrz1bsfrrdfj5DH9jZw7zUPsG6M/EvlXzFd13TOt+WIv45HgV s3OtX65vZRuqfbvFMYJWHdug69tp2HFmL46c+xWlNy/hiZrXDWXr7fulyjbG 8r0G90FcXAw8gwPVXPf+EqebtvdFaM9wNbedc9m9O/gjuHuomj/CdYWfzyf4 /VV6WjJSMhJwvoRrpT3G3XulavwkblQ/tG7fWsr0Rm0HO3XlPZ+X68qxPOux Ptt5Zt2yyr3qtfkztIP20C7aRztpb3+xnfbTD/pDv7RcpVznrxa/EAfiQVyI D3EiXsSN+BFHtV6Y2u8lU+FMvHko/P8iZ9q3Xg8V7+R/9dfrlR6oi4rfgKkX 6ob60Th+onRFfVXV2z/n0MZWHpfdwNyIfpjdmPlJn8q9M3IsE5Fv1hPTTN/E gg69cDm4Hu6Z6+HbME8UOKShwDIT863jsNSpMz62kfzELww7Wjlht7sdjsc3 wdkAQ+zu5YDvJI7fENEeUzyyMNc+FpOdszDZvDdmGqUixyhB4lrJHxg7mSaq 9bCy5Sw0jcablnPRw1hyEpMcJBktQEz95Qg334BYzyIMSp+ABPdZiLXNQUjX 1QhvMlfN71DrcJnOQnyTPCSYLcccR8lPDCUeie+HmT79kW3Cb5QkVzDug7mW 6ZjtlIj32ryFTL8p6B82AYVO0cg3knjHLEGwiMcsk2Rkt4nDrlfcsDo0FJPr pGNJj9646qyP4hY1cfZDd3XlPZ/zPcuxPOuxPtthe2yX7bMf9sd+2T/toD20 i/bRTtqbI3bPcUpTftAf+kX/6Cf9DemyGrEtchQOxIO4EB/iRLyIG/EjjsST uCp8BWfiTdyJP3kgH+SF/JAn8kXeyB95JJ/klfySZ8W38E7+qQPqgbqgPqgT 6oW6oX6oo4o9fKgv6ox6o+7+6WMsFbkKvzH4dtQHKNRri2X1o7G0QVcUvRyO BQ2TcKCNIy56N8ZOVz8stYnG/Ebxam/CpTW74OOGXbDQRPRulIQVZtFYaxCB 9XqhEs93lzi2PRZW64kNSbHY19kVRTY9sUQ0Mb8uv2eKkvex2N/UC3eM6uNK fUM8qFUT+928MctmIIqqxWFhzQQskHb7OcxAD6tlKGicjqKa0nedBBRJbL/w pSQsqh2DBfXlrJ2CpdLXeMehcPffhCC7TzHe5m2skH5mGQ3ApUZGuN6oBq7V 0MdNdwO84/o+etRaqvZMqZhrkvBSASJrFGFkzGi87/aO1JWcQPITrl/MPOUd +6HqqtY3lutyef+++zsYGT1a6i1W9SvmxLBdts9+2B/7Zf+0g/bQLtoXZP8p 3AM2KbtpP/2gP/SL/tFP5a/4Tf+JQz+H6QoX4kOciBdxI37EkXgSV+JLnIk3 cSf+5IF8kBfyQ57IF3kjf+SRfJJX8kueyTd5J//UAfVAXVAf1An1Qt1QP9TR PyFnqbDucXkZWkVNRAs7iUvd/8p3OhLPerwPZ7tp8GxSAHc7ifF918DNZYnE rOPhYfgO3E2GwL3JcLg1fQ+uzSfC1WkiXNwmwcltrBYHq/3QR/zHNW4r8pX+ EldfkPj62Na1OL/nY2z69BvYtx8Gl64N4dWhnsTkFvDzNYGvY3U42+gjtKsD Ni4Pwv2fOuDK9gBcVuMSjPNbyb2/Wif4gor//VEsz0q2+OLiiW54NfND2NUf Bgf9oUgPn4CDu1bCP8YMnh0awCdEH/Z+9RGYZowt+8Jw/WyY5CJtcf54kMpH du31h0+YAeyDzdWV93zO9yzH8qzH+myH7bFdtn9w90qk95ig+mX/tIP2lGzx U/aVSs5Ce2k37acf9Id+0T/6SX/pN/0nDsSDuBAf4kS8iBvxI47Es/8f5it/ cKp9VUYo3hR/wiP5JK/klzxzvTLyTv6pA+qBuqA+qBPqhbr5K/tGUpfUJ3X6 GGXP6PdFOx48eIAdR3ZL/PtAzcfmWSYn93Pcc2wvbj28iUMnfsbKbz7BzsMH 8FDt2/gf1jf+E7nKgTM/IT0rDX0yMrR1iyWm7pWZimbt3ZGSmoyBEtP3SUnD uMIpuPPghsS8p3HwxI/YeWIPDp85jPPXf8ONu1wrWZuvf1DiYv+IjmgfFoy3 Bg9Eu8gusAwOkFygl1pTuH3XDvCX+0H9+vzBuEqmyi3SJM6Pi4vE4LFv41GZ Nk/nweNbuHrrHNIzU+Ad5K/W6Krr6Kiu2n0KSuU956urtYLlZH22w/a0nCXz d+MstIP20C7aRztpb7uILsp++kF/Dp75ScfUI+Uv/ab/xIF4EBfiQ5yIF3Ej fsSRePapWBdacCbeB3Tt/Z2cpfLkegqig52H9ytdUB/UCfVC3ZTpdMSTuqK+ qLN/2lHx2/aBL1dhsmE45lplYI7ZIGRbJqoYW+1Z3yIVC8N7osTdErea1cKX 0UGY03qQxN0pWB3SEbtb2mOHvz2udqyJM176OBVrgu9ae2N1WAhmtExHtkMS Jln1kRgjBblNJW5vKjmQaSzyLOKQaxX/+z3SLRMwR+L2BZYxGOiwEN3MCpFo Ol1bV8tyDhK5vrDLGqxxj0Bh0ACMemUCRoVOQCeJQ5JMZyDWdKa2HrHhIiTa FWJ6xzR85DgQH4S+gwJDiZPNolDQvBemeg3Bm+1GI95jFiKt5yJaPwcxrnmY KXE37cg3l7yqaRaK2objYj9DLGvVDdOM0lFgLvmbcwZ+DvbAddsa2DPHV10P yz2fq/dSjuVZj/XZDttju2yf/bA/9sv+aQftoV3KPq4ZJvZOdRyA6SFpSLQv VP6o9ZDFP/pJf+n3qMGSYwX1V3gQF+JDnIgXcSN+xJF4Etfn93ck/uSBfJAX 8kOeyBd5I3/kkXySV/JLnsk3eSf/1AH1QF1QH9QJ9ULdUD/UkcrZRFfUF3VG vVF3VXX4TzvKOaZSxtU7gE+GzsB8vU5YLrHnigYdsKRGOFa07I5N4b7Y5OKH hU2TUFgvTp5LfFq7C5bVidDmMdSMxYpq0VgpcW+hXnf1fVBhs974MjQJu+Ys wo1ftqs1Qk4f2osiS8lx9MKxslYUVtaUv68Sm39j0AH369bC1foG6nxQuyb2 uflgZrNBWPwSv0nMQDfJX992HIclkgsvqKGtMaz2mJfr/HrRcpV8qUYyVjWI QppXDsy9f8KH1sOwnHs+6iUhLyATFywb4SbXE6vbEFfqGeKjiNcQW7sQ8dwf UY2FFKBr3RWY2GE0Mpym402D0YID92DR5Sv1JF9xfVtdVb4iz/me5Vh+YvAY VZ/tqPakXbbPftgf+2X/tIP20C7aRztpb5pXtrKfftCf+fWjn/GTftN/4kA8 iAvxIU7Ei7hVYEg8iSvxJc7Em7gTf/JAPsgL+SFP5EvxJvyRR/JJXrV5SxGK b/JO/qkD6oG6oD6UTkQv1A31Qx1RTypneUHXL6o4tDkAZXh73EqY/dU5LG5j 4NZiEtxtJsDVJR+O9nnwNB0HD4PX4d5UchQzyVFsJsHFcRKc3bgfx1iVlzi4 jvxLsSpPZ4lXrSWeTlHfg63D0S1rUPzjp5idtxjNTT6CY6vBcO/aGF5eJnBu VgM+fvXw7nuWOLnNH/f3dcGVLRGSk/TAlZ0d5WSMr31fdeHHJJTsClZjK8Vy f227L37+ORJtOo2BS6Nh8DAVTMxHIX/tRrR+2xmWLjXRIrgR4oZaYPehQNy6 ECU5SBAunJBc5Hg73DgXjHlft4R9x0ZwCmuurrznc75X5aQ867F+3FBz1Z6l a020HuqM/DUbVX+qX+mfdtAe2kX7aCfXN77wY7L6HqyYfog/9Ev5J37SX/pN /4mDk3UNhQvxIU7Ei7gRP+JIPIkr8XX+S/mqlrMqPplvCr/kmXyTd/JPHVAP 1IWjfb7opEDphbqhfv7K3BXqkzqlXqnbF+1Qc1bKnmDP0QO4c+fK0zkqlfuf aznA3PUrsWX/Tty4x9ygTJuX/We/J/rdb/T31DyHG/eK8drot5CRkqK+V6rI GbJ6p8GmvQeSUpK0/VUSE/HmlNG6sRxtXvjDh7fx243zOHjyR2w6vBUHThzG 8ctn8fjxA+R9sxgZg7g/SQqM2/ugZ3IsXu3fH117RsBJ7X/y+33jmU9wbgn3 j09NT0JKvMSDi2aq/UeePOKaAXfx/dEdSOqdDM+QALWHfENXF3XlPZ/zPcup 8lKP9dkO22O7bP+Pxlpoj5Pa/yVC2dkzOU7s9lX20w/6Q7+OXz6j/Nx0eJvy m/4Th4p1DIgPcSJexC0pJVFwdFd4VuRK6rswwZu4E3/y8N/wqOYoiR6YQ/0g +qBODp5+mltRRxVzW6gv6uzRP2ptY928lbIbmBfZF7MMuU/JIORbpGpjK8YJ mGLfB5vjWuKq60u4btAQF0Os8WVIF+wPboFrDtVw1UNOv5r4NcQCXwS1xrxO sZhln4bJLTh2ottHxFSL/VVu8nys/G9OxtULzaLR33MRulouRKJu3IRzN6IN cjE4ZCQ+9gtBVuiHiHdciMiU9Yi2XY8Eo0VSRk7TXCSZLEO43Ty8LvHTB27v IqeF5GLO8RjRRuKjgEJEyr9/kU3zJQ+YjXiTWUiQPCC2WTZGtn4D8/SjMd0u DYs6RuFatwYoahWNKcaZyLeKU3H9dLNMrJU4pcS1BlbO6YISt5rqns9V3C/l WJ71WJ/tsD22y/bZD/tjv+yfdtAe2kX7aCft/cD9Xbwm9tOPRPGHftE/+kl/ 6Tf9Jw7Eg7gQn4r9Xogb8SOOxHNO1b0+/6fTUsthVI4l/JFH8kleyS95Jt/k nfxTB9QDdUF9UCfUC3VD/VBH1BN1RX1RZ9QbdffkHzrGUq5bu5+x5doBeSrW XNEgHMvrdsECg0jMcErDktYRWKofhfnVY7G0FnMUyVXqRmJFbYllX+bekT0w T+ot0gtFkUMitvZ7D4fXr8W929el1dtVOtMuF4/vQ5FNd7X34MoakZhnkIx/ eQfhfi3JVxoY4Hr9RpU5yx4Pf+Qa9cEYu3cQZrIKb5h9iBU1orRvoGpzbCEJ C+rEobBujMT0yWocYq5+GmxT9mKU/Risqhmpyi7QkzOkOy5bGki+0AjXaunj rnE9fB/YHhFWi9U4SILeXHQzWIlxAWMwoPkchOoVYVjrd7FEOC98mftFJqg8 ZZjXMF2+oj3ne5ZjedZjfbbD9tgu22c/7I/9sn/aQXtoF+2jnSPtxsAmea+y X40biT/0i/7RT/rLsvSfOBAP4kJ8iFNFrqLwExyJJ3ElvsSZeBP3i8f3PcOH dtxWfJE38kceySd5Jb/kWfEtvJN/6kDpQXRBfVAn1At1Q/1QR9TT4+d09iIe FftXLPxiG0xth/z5OSyO2tiKa7scOPrNRsvm09HSaDLcLQvgYZcHZ5dpcHGf AAfuv6HGTv56jvJ8vmJjMxKde0/BsX3rJB5fjQt7vsYPK1fCz3sUbJxz0MJ3 GNqGNcLwd82w4wsv3P2xDa5KLP8bx1R2BqJ0RyfJUSJwdUe0xPZhKN4XjUv7 wivHKYp3BOLGrgDs2xIEL9thcDN6R+UNriYjYBM8BwkzkjF2ihkKv/DGxbPt UHq6E84f7yo5SFs52+Ps0Xa4dSkY43Mc0CywAZwitSvv+ZzvWY7lWY/12Q7b G/uRmbSfJP3MVv2xX/ZPO/ZvDVJ2FVcZF7oodtP+q+IH/aFf9I9+0l/6Tf+J w/DhZgoX4kOciBdxI37EkXgSV+L71/OV58bbdLkLeSf/1AH1QF20NJoiOpmh 9KJ0wzEWxz+nCeqS+qROq+r2RTkq94g8exwni7l2Mb/f0e1lLse1W8X4evuX +HbXv7D54A7cvH9DPX/y5CEq14T6W2Mr2jyUWctzkBwfL7H1s/lDn6x0OLRx R0IS9y/JRGZaKvoOzELxzfO6NZW13/a14zHKHt3C3fvXcLL0NL7/aTc27duB tds+hUNMMGyC/DA4oxfiE2LgEuiOXr3S0C+r9+9yFe47n5DcU42FcM+ThOQE NUeDx6OHHEu6jxUbliItNQVBoUEIi+wCw5Ye6sp7Pud7ltPKQ9VnO2yP7bJ9 9vN8zkJ7aBfto520l3bTfvpBf+gX/aOf9Leq/9ock8cKH+Kk8BLciB9xJJ7P r32WHB+n8Nc4/3s8VvCv9AAofVAn1At1Q/1oQnug6Ur6os6ot6r6e5GPit+0 D3+zElNNIjDXfIDEs1nIs+yJOUaJmNKmF7aHeeCebXUUGxuixFjizyb6eNJc D9ecXsbBTs3weUhb5ARJnO6cgSmWvZBtxNhW8hOzuL+Un/wuX7GUfKVpNAYG zEPXZgvUmlpxTecg2WSaxBqFeCvqPfTtMAVdrRYgvrE8s5qLWK4/bJqHePPF iDVaggT9hYgxWYRM34UY03kk3gwcgSTPXMRYrEGMUT7ijWdo6xU31a1d3HgG OpovwVttR2KGZzrWJAbht/YNkR2SgQkGfTHXLKbSn1zTOMz26IfjXR3w/qAh ON7FQd3zeUW8z/Ksx/psh+2xXbbPftifWuNY+lfrHYs9tIv20U7aS7t7+Wp+ 0B/6Rf/oJ/2l3/SfOBAP4kJ8iBPxIm7Eb4DgSDyJ69/hozJ/EV7JL3km3+Sd /FMH1AN1QX1QJyUmDZVuqB/qiHqirpS+RGfUG3VH/VXV4z/hqPjd+9G9u1iT mi+xaSg+rtcFiyTenGOeijnW6VjUWPKKat2xpF43rGjUHcvrxWJ59WgU6UVK TNoRi+pHYXX7TOyauhLnPluK+3f4e9mz/25wD3Str3L5s/bv4sWj+9Ra1Msk hl5qFotfguxwu0Z9XGvIeFsfN+S8Wr+xxOC1cKiVNzJdcxFdcyFmBQzA4pfi JIZPepqv1IvGgtoS39dNlvZi8H6PoXg7dgJWV4/A/FrMa5LV/PDZbpm43NgU N2s3UOsE36teG9udAjDIfSoi9BYhymIxxnqORG/rPPTQE21zrePAWZhnkqrm tavxlfopGBbwrrpyTWA+53uWY3nWY322w/bYLttnP+yP/bJ/2kF7aBfto520 d2jsh8p++kF/6Bf9q8hX6Df9Jw7Eg7gQH+JEvIgb8SOOxJO4El/iTLyJu8bJ Y8UHefn9HvXlikfySV7JL3km3+Sd/FMH1AN1QX1QJ9QLdUP9UEfUE3VFfVXV 24t2VPw/d/z8WTj7SJzp/D+Np8jpxLnYcm0zFo6h4+DkPwkONuOk3mS4eUyW MhPh7JENJ7dcOLtOh5PruP86V9G+B3oPdnYj4RM5ET/vWIMzu9bh1OavcPnT VdizYjGyi9bh4/y12P/lVNz4uRVu726N37YForjKPA81piLxPMdVru+OwYWd kSiReL9kp7/um6pA3NvbCstWu6OZ1ZvwNBoJ9yZytZ+Epjbj8d7SUXhyNwSl ZzriwvH2uHgkHL8dDMHFE0FqPv3Fo3KeC0bSCCs4BDaEXbSTuvKez9V7lpPy qp7UZztsj+2yffbD/lS/0j/tWCr20K7LFb7Q3u2dcWFHJK7vilHjLPSL/lX4 Sr/pP3G4KXgQF+JDnIgXcSN+xJF4Elc79T3g3+eoas5C3hX/1IHogbqgPqgT 6oW6oX6Ujlx0uvofvgmkLqlP6rSqbl+Eo8KWc1eLcegU5xpU7JtRjkePb2Pn oe3Y8N16HD39s3p2m/v+Hd2jjb+o84luv/uHfynGLdOtQ7zl4GYkpmpr71bu L9Jbm78ysH8W3Fu5Iy0pGa/274fBcqZJnL9h+6dcXRm3717HnVuluHL9PI6U HMGPl37BiXNHcfrEYXy3bxM27t+EH37cjsFTx+DD/Ml4d45w18EbXXt2Q7q0 mZGchKxMbZ0ujm2kpiUiMSVO7d+ocomMDPTu3wunSp/uP3O//DZG5YxV31qF xnaFb6e2aOrppa6853O+v4/blfuPsD7bYXtsl+2zH/bHftk/7aA9tIv2OXXw UfbSbtpPP+gP/aJ/9JP+0m/6TxyIB3HZsP0TwSlZ4UXciB9xJJ5q/krFfpqZ 2rrKiamJigceipe/lKs81O1n/0TpgWuCcX7N7XvaXCLqhvqhjqgn9X+Xbl05 6o26q6rDF/PQxlbKHpVicUIvzGyciQKr/igw64nJpr2xKDQKJ7qY4IZBHVwx kP+/zWriqsvLONbBCl+F9UBBaDxmuGo5Sg7XBW6qfU/0u2+7/uOZWGU/9ATd Pi/xKq4ulPh6cJtZ6Na8AEkmHyHBaDq6mxYiI2wGunRcgohGEhMZzUSi2Xyk mC1GvNlS9DSai6RGsxFnuARxJqsQb7QCvoGbEGNbiEiLeYg1WI6kJvmVe6xU 7LMSbZiDKO+5GBE0FLOmZSCvUwpm2qRhT4obvu3kh2WdIjHVqTfmmCQpP7M5 XtR8EHJavYb3zd5ETuBryG02SD3ne5ZjedZj/d3SDttju2yf/bA/9luxL0vF 3iy0j3ZGib3RYrdf4HeSyyxX/tAv+kc/6S/9pv/EgXgQF+JDnIgXcSN+xLGw Ml+Jf7qfzh9w8KdO7sHD7/k4fmai5S7UA3VBfVAn1At1Q/1QR9QTdUV9UWfU G3VH/VGH/5QxlnJd3vDg8CascRSd6nXFioZdBItEzLDKwDxDyUvqybMGYVja qCuWvRSBBXrh2lwUwxjtO69Zi3D9113yL8az35ByiRGVt5X/8TpRFfHxhWN7 scimO1bV6o5SP3PcqN5AxdrX6zbSznqNcK1mI9w1a4CxYSPQxXIF5jVIU3M4 Kr+PqhOPwgbRKuZfVFvbD3Giz0AsqR+Hwhrad1SFdWNRWCcSc/XTcd7BAneq 1cWVBhLb126Ii97mGB0wHFEuCzC55evIsslBxMtFSNXLUfujdG2yDLm1e2Np dc4l0eUrbUdo+Yrc8znfs1yiXp6qx/psh+2xXbbPftgf+2X/tIP20C7ap+wU e2n3JN+Byg/6Q7/oH/2s+C6M/hMH4kFciA9xIl6V2DHnEzyJK/ElzsS7Kv7P klau2x/0ibZETJWD/JJn8k3eyT91QD1QF9QHdUK9UDfUD3VEPVFX1Bd1VlV3 L9JR8VeW/0d3zpwJG64R9fxv7IwjK2JK//clzvygSpzJvexHqXkN2ndePEdI nPq+ilddXHLknCXx63jdHPq/Ns+6Ml8RG+wkZvXwGYM936zA2T2f4sw3X+Ds uiW49MVqXN69G1e+XIVzGzfi1+2voni3u8T0ravkKoG6uR4BKJXz0r4IqdMV pdvDcX17NxXvX9rmj0c/tcOMac1g4eQMN/MxcDccCw/HibCwHYH3Rufj6uWu OPurFy6dkfzmcBAu/eKP0+fa4dSpdjh3LgiHj3ujVVwDuLUzQPNoF3XlPZ/z PcuxPOup+tIO22O7bN/CdqTqj/2yf9pBe2gX7aOdtJd20/5LeyOUPyXqbPWs v+I/cfh1+2sKlytfrVI4ES/ipvATHIkncSW+Tv9hHtG/P0fq8pTxim8Xl2zh f5rSgbYe2Ejdd2OjNL1QN5V5r+gp4P2nufBzNmhja+8qfT5R61m9eP/LPHr4 CNt+2YGHKp7U9po/cupnrPtuHXYf3oknam61xGyPtThz/8kDuHLjErTc5r4u bylTMSvKHqBiP45nz/vau3Ldyb1MHlzFm6OGoH9mJgYN6Id+fbU93NPTuRdi EpKSYmHn3gKturRH28hOaNsxCAG+3ghI7oTPT27Gj2cP4eDPe3Dk5C/Yf+Ew fpHYvfjGORSXnMPmn7SxrHk/rMRnuz7HVin3xY9bse/cPnx3aCvylubi9bHv IKtvJuKS4xAVFY6kxFgVv3Ocg7akiw0jp49DWcU3bxKXl96+gF6v90NfifUT pbxHoDcae7mrK+/5nO9Lb13U7UFyT9UfOX2sao/tsn32w/7YL/unHbSHdtG+ fef24osDW7FN7Kb99IMH/aJ/9JP+0m/6TxyIB3EhPsSJeBE34mfnbqvwJK7E V62nLLYQd+JPHshHxTd+2tpuDzR+n+NSG095oMtRyjT+ya/ogbrYf3K/po3H Wt5L/VBH1BN1pX23Vqb0Rt1Rfy/yURETndyyGjOaSjxi/orEnYmY7pCMxVER KHE1wr26tXGzWV1cDGyILWEeWCpx6DS3NEy3fhPZRpny/6oWm2dbJermUz8f 8z5/H1+5j4s2TiH5jZrTIacl9+yQXMAySe6TMEvOwiZxGNbmA/RstgKRxqvQ w20pxrR+G5MzRiHBcSMSTVYg0SAfcY0lvpfYPdFiKZLMFkhsnyex/TKkGc+E t+8OtLf5Fkl15qGnxPqxZoWSFzzNVRLMJM7Xz0cfv4lYHtkZ00Ky0N1rAca2 G4xd0U64YaeHW030cK1lTezp5oL89nGYZsq9HMV3c7HTsB+mW7ymrnnmieo5 37Mcy7Me67Mdtsd22T77YX99/Cap/mlHhU20j3bSXtodJPZ7++xAGseY+E2Y +Ec/6S/9pv/EgXgQF+JDnIgXcSN+xJF4ElfiS5yJN3FX+Cse4qqMh1Xh6t/x qeOc/Gu5S6zSxTTRB3VCvVA31A91RD1RV9QXdUa9UXfUH3VYEfO9yEdFzHj3 +PfYYB0qsWcnzDONwYzmGcgXvJY17IHltcOw5KXumKsXgYXVg7DQIQ5bBo7F T4sX4+6BH6T2nWfaLHvMPVue/Ol1bCtzlqP7sMwlBldrG+JG1XhbzmsSc9+p Xg+H3J2xolEExvUeKjl0HxRV08XuzE/qx2jzKbhvY/V4yTn7YLbkAUXcF7FW EhaoMZEo9e3WvFqpWOqagOsWhnhQoxZuSjx/o0ZDrA6NxJR2ryDTOhudX16F iOpF6K6/HDGG89HTNBd5NlnIadBLYm/JHeql4J1OI9SV93zO9yzH8qzH+mwn 0ypbtcv22Q/7e1CzluqfdtAe9Y2Z2Ec7aS/tnm2QofygP8pH8Y9+qvEk8Zv+ EwfiQVyID3G6VjXXk5N4Elfie6FyXOVPalOta/1E8frscUfxTx1QD9QF9UGd UC/UDfVDHU0XPVFX1Bd1Rr1V1d+LdGjrwpZjWv6/YGIxBK4eY57NU/jNjrc8 CxkHx/ZyMp/53Xc8z39HpJuX7TYaLq5TdPHrbIlnJ/zt8RYnscXW4z0sXrsA xfv+hTOfrMG59ctwetMXOLN7M85+slrul+L0p2txZleqxPZe2prFVWJ4rrFV vKsTLu6NU+sXM/6/sb2rvIvC5W1tcPdQIMa+YQlHWz20bOkMe+dYNA+chMbW YzHkvXwcvfMKfjzeF8cPTcOFH4bgxOExOHBiMfYe+hjHz8zCvK/ehFWwJ9w7 NUDzSA915T2f8z3LsTzrsT7bYXtsl+2zn+aBE1W/7J920B7aRftoJ+29or5v a42L++KUP/Tr2dystfKfOBAP4kJ8iBPxIm7EjzgST+JKfP/+eAq//ZqteHZx m6Lbe3TEH/D8nE6oI+qpg+iq4zhNZ47P5i3UI3VJfVKnL9I6xvxN+4nEmzuO HMDNO9o6vedLzuKTLZ/gX7u/xQ3OY+FRpq05rOazSGx67dZlNZeaYyxqnvYT LX6tWKtKVwnat0pPULnObdldtYfHnTvcT/E6RheOh3+ntmgb3gltgtogoK0f 3EMD4Nw5AC07+KFdUGtY21jBO7Q1OsV2RUTPbhLjxyO2Z0+MnTUOd8tuVPZV 9vAWyh5p3zCfv3IGN+9dxsb93yN88utq7d2vd3+Hb3dswvnic5V1HpTdweFL B7Hi248xad4kDBr+JjJ6paq5KJlJyUiI64nPtn6OJ2XSwoObKs/cfmov4tNi 0a9XLzVOYtfBC9XsmqtrL+YA8jw+taeU26PKsx7rf7blM9Ue22X77If9TZo/ CSu++VjZQXugW4+BdtJe2k376Qf9oV/0T3nA/W3Uno1aHeJBXIgPcSJexI34 EUfiSVyJL3Em3sSd+JMH8kFeyA95Il9P95B8ouOzqn51+SlzMupA9EBdUB/l uvlPlWsly0E9UVfUF3XGg7qj/p6Uv7hrvFR8X/DxyKmYWU/iBvNMTPDsj51d fPDIqhpuNGuAg8HNsbFbB2S3ScJUm0zMMk5V3zvlm8vVYiByK2Jbc11sy3uu hWzFcZKquUhCZS6SLbHyHLME5JklocC6D/KtB2KOZX/kGCcj3yQdec3eQIHt EHn+GgprxOB13xHo3moDXu80E/Nbp+Lb5t4Y4jcc3UwXIlntRTIHcWp8Ygbi mnCu/XTEN12IJGOJf2wXS869H2nyPN5oKZIbFyFR6vH7qzh+f2U2Cz0bZyOj 1UQsS43E4OD3EWmVh86Wi5A9NAH3HfXwm3ktXLaphWLzGrjBda/8G2BRj2hM tyUWiSho/iamNn1DXXnP53zPcizPeqzPdtge22X77If9LUuLlP4nKTvUnBPd 92m0k/bS7lSx3yNgP7rbLEai+EX/6GecmtMzQ/lPHIgHcRkq+BAn4kXcFH6C I/EkrsSXOBNv4k78yQP5IC/kJ/uZnCahMqfJVvmpxrP2PF7Hf4LSA3Wh9CE6 oV6oG+qHOqKeqCvqizqj3qg76o86rKrLF/Eof6LFijePb8FG27YoqBuOXGfB y1py/PpdsUSvM+bpdUBRw1is8o7D9v6jcOrzZbh3WxuXrXqoHIW+/s1/H8of ab+H/PZNNk5Z18Edziup9zTmvlrbAPf162CLXWvM1svEFscgbPSIwNyXkrGo juQiErsXNoxW16KaCcjXT8Ekm77a+Au/F6vFfCZSG5uopa2xlVcvEytdErHZ uxWutTHCvoggbB/aHsNHvo3M9rMx3vYdvFr/Q7zuOR4fBA7GzKhk7HzdH99Z t8Va9xjkSS47qtMwdeU9n/M9y7E867E+28kMmo13pV22z36utTXCZq9WWOmc qOzQ5qgkaWNEYif/TLtp/yTbfsof+lXVT/pN/4kD8VC4CD7EiXhV5nqCI/Ek rsS3Kt5/naiK78ae13W50gX1QZ1QL9QN9UMdFYmeqCvqizqj3qg7VfPJi5Wz PNHNBVizdS+sHYbBuWIeNH/v5vdBzFGYq3iP/l0s+Wd/e+fv9s6ukyWezZVT 8ha3D/5y3uIibTS1H4kJs+fh2p5vcGrtcpz9fANO7fwSZ3d+hvMSj5/duAzn 16/GsW8KcWlvW7VmVuU3UmpspQ0u7emJkl2dUbK9IsbnXPvOuLY1BlcPhKL3 AGO4yb/5gW4vwStAHx6dLWDt0wQTpjng7G8jcHDXdzj17Q84t2YNrny9H+e3 H8DxH/ag9Mcf8PrbBWhiOw7WnbrDNKm5uvL+DXnO98d/2KvKsx7rsx22x3bZ Pvthf+yX/dMO2kO7aB/tLKnITWi/+EF/6Ffxjqe+0m/6TxyIh8KF+AhOCi/i JvgRR+JJXF3+Eqe6PEV4dFF5Sq7i16lyrtKfbOeZnHh0lZxYpz+Or4geqUvq s6pe/7ePitjw2PnjOF96Cncf3MK3u7/Bxs2f4Mzlk1CxaPlD3ZyGB+rP2u/i 2r9FP58+hGu3dfMScF/9hv5AYue7Eutev1GC8zcu4ejV8/jl4jEcOfITfjq6 FzvP7sc2OX+VuqslR/DtEoR2EZ3QKaYLonqGIykhTq1llZGRquaGv/bqIAQG +CAhNhKvDhig5lvw7C9nanISRkwaif2nf5Ro/r78i1Yxl6MM3/zyA5Z9tRR1 Onph/qYNEuPfxvptX+LS9XP49cxh/HjikNob99GD65I/3tL5UIY7D65i35n9 WP3VaoyeORavThyJa2VXnsFt1ZcbEBUbpewY2C8Lvm39oWfQGL5t/NT3VnzO 9x9LuaoH23l14ijVLttnP3cqxjNoudhBe2gX7aOdtJd20/75329Q/tAv+leR D9Jv+k8ciAdx6a/DiSdxixf8iCPxJK7ElzgTb+JO/MkD+SAv5Ic8kS/yRv7I I/kkr+SXPJNvbexNy0eoB+pCO3RaoW7KHmg6KtfWSaC+qDPqjbqj/qjDqrp8 UY6KmLBY8slZzdMx1fB1LGgXheMdbXHdSR9bOvphSfcoTHdNwzQzxrQSq+jm o2Sr3+O51i/XO86UuFXecd8QXS7CNXvzJF7NbyYxcPNBmGPRD3mGEvua9pYY +U15JrGymcSpjblOVBZyrQdJrD8Qc63TkWuerNbZnWmQhGnGUcgP6osFb0tb obHYYOWP9Yat1D4giaES0xtocf3TMYk52tl0DuKbSIxvPBserQ5IzrIUcSYF 6ruwJHPJAZosQrLpYsSbz0FP/TnoZlOIrD5TkOw/FRGN5yLSMg8Dwt/DZ538 cdm2NkqsaqDEWs7mNSXvqIPSptVR6lQN3yZ5YbZdKnIMMvCR4QB15T2f8z3L sTzrqfrSDttju2yf/bA/9sv+aQftoV20j3bSXtodb5Kv/GjZer/4NUv5Rz8r fa7AgHgILsRnmeBEvIgb8VswLFXhSVyJL3Em3sSd+JMH8kFeyI/iSfhSvAl/ 5JF8klfym63Lacg7+c9Rc5UyNV1QH2q8TNMN9UMdUU/UFfVFnVFv1B31Rx1S j1X1+SIdFeM+xcd2ScwejDkGXNdOcveXOVc+AAsbx+DT0FTsmFGE0l/34KH6 NvhpjFv5nZduLsp/ezBmJU7nPp2HFQ4BOOdmhTsv16vMWW7UaohSY0OscohE UaNY/OLrgPP25sJ5bxRVYy4Sq4071JJcS2L/SS2qxvgcC+mpfWvFuR+1tPGY otoJmKuXgkKjZEzweRfdnNYgpNNavBkyHh83C8fqRuFYV70L1ul1wWq9blhk 2BUHfRxQrlcNN80a4ZvgILyaMU5dec/nfM9yLM96rM922N6bHcer9tnPBN93 UWiYrPqnHWq8hHaJfeqbNbGX338xX8k3SMFku37KL/rHtY3pL/2m/8SBeBAX 4kOciFdlriI4Ek+Fq+BLnP//5Ai6da9/993YI6UX6ob6oY4WGsQoXVFf1Bn1 Rt1RfzxepHHIiv/ebt27B6/2E2Bvr+234dj6fTh2qvKtjvP/PMfgz+UtoyWu naJ9J+Y6S/489t/8Dv/705n7m1sPx6tv5aBk57c4s3oJTv/wLU5yLsv29Tj3 Cb8HWyHXpTi7fiNObBsm8bynbh2tQO27qV3dcWlXhBqbeHY8wg/XdrST2D8K UWnO8LRrAD+32vAJNIVfZwM096+Fj+bYoPRaDxzb/hnOfbYOl9Z9idJNu3Fy z1qc2/UtDm//FwJ7jIF9i5Gw8xiLesHD1ZX3fH5427eqHMuz3qV1X6h22F7p te6qffbD/lS/0r9niwaITHVWdtG+qnNU1P4xHGPZFYnind3lz4G6Ofmtld/0 nzgQDw2XVQon4kXciB9xJJ7E1flPrQ2njZuRNxfXmYpH8qmNp/y9b/0q8xbq izoL0OlO9OfkOlrpkbqkPqvq9X/zqIgJS+/ewO4TB/CznBu+/wTHTh/G0/8f KnIT7g94B/ce3MSd21dw9fp5nL1xFnvPHsCmnd/h+LFD2H9sN3bIvRbf7sPR Iz/ilwtHJL49i3MS3167UYq70tf9hzclLtd+sx+fOxFZqekY3K8vBvbJkhg7 S5tH0jtTt5ZxulqL11fi7O5RXdQ+75yLru0Nn6HKpSUnI03i73ckB8hdPB2r Vy/Ge7ljEJTaDX5dQmAREogvf/leraF1/e4V7D7CPS8fSzz+E374dQceqzWb H+AJ/7+sjKdRicGi71bhgzkfYMOWr/Hr5eO4/+QW3poxGl27dEOvtGS133xI eGdUq1NfXXnP513DumGIlGN51mN9tsP2qrav+nt8T/VPO2gP7fpVrav1WNlL u2k//bAIaSV+dVT+0U/6S7/pP3EgHn3V+ma6vV0EL+JG/HwDfRSeam6O2t8m U+FN3Ik/eSAfE4QX8kOeyBd5I3/nVP55VuNV+CXP5Ju8k3/qgHqgLqgP6oR6 oW6eqDWv76FqvksMqDfqjvqjDqnHqvp8EQ5tLb/7+HrMZEw17o/1UZE41cMZ mzu1xuw28fioRRpmcp6GxKQFVtrYyBxziXGbcr0oiW+tJbaxek3tx5bXWGLS ps/Gt7kqvu0r95KLNBuAPIs0iWPjtfjWOkWeS9vNE5HPb4nMYpFjGI2PGnAN 4DBMd0vGqpQU7NiwXLT2AFc+nYx1Bp5YadUZa5oEoUBi72i7fMQZV81Vnn5H Fdd0LlKM5qOD/UZ4eW1DuhHHUpYjvmkBEoyXaOMQJguk/gqk+X2E+NBcyRUW qj0XIywKkB4+DWts22OFTSjOttJHqfnLKGbO0UzLO4pt5GpeCzft9bAl2QWz Jc6bXy1ZXXnP53yvyjFPkXqsz3bYHttl++yH/bFf9k87aA/ton20U9krdtN+ +uHtvQ3B4hf9o59Vv2urPAUX4kOciBdxI37EkXgSV+JLnIk3cSf+5IF8kBfy Q560/DNe8ad4bDZI8Zr7fP7ZtL/SAfVAXSh9iE6oF+qG+qGOqCfqivqizqg3 6o76ow6pR+ryRVtrslwXG576+RCynSIwsW408vQ7o6hFDLb0H4MDi5bhzsGt 8rf/7jP11PDJX/jO668cFfHqjnWfIl/i/DXO4TjrZobbEmtznaub1evjjKs1 FjeIxaJ68aLJJrhfuza+8w9FQa0MLGjAsZNEiekTMNswA1Msqn5DJfF/wyht zKKWbj1g7j1ZIwkrG8Rgot0wtNP/DFk2M/FBwFBE2i9GUYM4LKsWiSU1Y9S5 vHok8owS8KV9R9ytVQfXX26EUtPG+G5IgLryns/5nuVYXtWtFaPaKWoQj0i7 xap99sP+2C/7px20p9I2jgWJvbT7mW/bxC/6Vyhl6S/9pv/3a9dSeBAX4kOc iBdxI37EkXgSV+JbFe//r0fFd2PPpefUEfVEXVFf1Bn1Rt1Rf9ShKvcC5Sz8 7/8xniCq70w0576AYePh2Hbs03GW/ypP+Td5i9tUiXXzJCadKc/e/4/xLvfg sG0xAu1Tp+H4V2sk1l+PUzu/wskdq3Fy+zqc+XQ1zsm/j4zNz29YiRNfLsGF fdq+K2psZWcILu4Il2vo0zGKyrEXLZ85tzsAIXHW8LW1RIC7LXyCneEV3BA2 7QwwZYU7blzugl92fYJLa7bi7IZPcXHzNzi+8xNc3rsei4o+Eey43yXn8rwP fbvP1JX7lPD5oqJPVTmWZz3WZztsj+2yffbD/thvgLuNsiMk1lrZRfuKn8mx tLEh+qP5FaL8pL/0m/4TB5WrCC7EhzgRL+JG/Igj8SSu/3nvnZGKJ/JF3pxd p/73ecof5S26cRXqjzqkHqnLx2q84n/7L4p2qLWLHz/Ctz98g+VfrcS/9n6H a9cv4dbdYpy+elLF2MfOHsORXw9g30mOiezDTxeP4vjJozhy/Ff8cukkTkk8 uv3QLpyR+PXe/dt48PDffT+krQ+irRGi5QM/HNqMxJQENYeDc+w5l4Lns/so pqt9FH3aBaBLVCcMkFzg+TJck7dPZgbSkxLRI7IHUuXq3cYXHbp2hEXHtghL jMT7K+fgwf1bqv9Dpw/itPiG8rs4cvYgdp88qOZf8Acc2sb9QR4/vo2yxw9x 4dpZ9HltEJJikxGfloLMzBQMzRmPz37ajCkLZ2Lw6LfQp28vRMRGQK9GPXXl PZ/zPcsNkfKsx/psh+2xXbbPfrQ9SR5q/YsdtId20T7aeUi31yLtf3/lbOUP /aJ/PuJnqs5v+k8cnq4FrdvXRfAibsSPOA7S5SvPl1GnymMyFC/kR+lE8VWu Oyu4fO77PuGd/FMH1AN1QX1QJ9QLdUP9UEfUE3VFfVFn1Bt1R/1Rh9QjdfnC 5Cs6O+7cuYmpnd/A2vhwrO0RjtnOfTG7+SDMsxiEuXLNs8hAAXMW68HItx0q cexbEqNybn0q5lgNkDh1IHJMJYY16yUxKb8BS1Exbm6zZDklNrWOlfs45Ftz /IXfDqWptXRzjaMwW19yIokTpph0Q07zBMwIy8LXo8Zh+2crcOsEx9meruP6 2+cFWGPmjxWWnfCZRQDeaTsE3aznI8HkD2J1rvHVZAESTBfCrfUBxJjPR5LE /Immkt805Vpg/B5sLiJNctG1z8eY9/og9ImdjvA6eQg3m4fE0DysdgjGOuO2 WGzXBdtbOeOGlR4ucy8R6xpPT8lFiiUnueb4Ej7r2Q4TTF5RV97zeUlFrqI7 WZ/tsD22y/bZD/tjv+y/T+w0ZQ/ton20k/bSbtqfZLwY0eaFcGn9k/KPfsZV madfOR9HcCE+xIl4ETfiRxyfHrcVzsSbuBN/8kA+yAv5IU/aXi1pij/ySD4V r8Kv4pk5jfBO/qkD6oG6oD6oE+qFulH6ER0pPYmu5up0Rr1Rd9QfdUg9UpdV dfq/fajf1uV6aPdWjGudiYLABGx7ZSRObVyOe7eu/a78f/ud1589yh5pseoP M77FXL3OWK4Xi1VO3VWsfataQ9yrVwdbHAMxX+L51d7hKGlijNsv1cVFeyvk 26VhQe0obc2s2omYaN9XYvoktYYXc5j5DaK0Pd9rJ2nz1hnvV0/C8oY9MbHl MHSssw7J9vNRZCC5gkEKepgvx1TPQVilx73ao7GsRhSWc93kGjHY1tAP9+vX QWndxmqt4LIuNdSV93zO9yzH8qzH+myH7bHdhRzzkX7YH/tl/7SD9jxvI+2m /WotsjrJkt/0U/79P/bOAy6rI/v7mNh7oQgCgkrvIAJWEEFRlN5BlKrR7G52 U0zUmEQTNSZGsWAvCIhgQSyxayyxxJaYaieWFHtFFPi985v7PPiAaNSYaN4/ s5+713vvzJxzvjOBc5im2Bkk7ab95EAeeYIL+ZATeZEb+ZEjeZIr+Wry/svS Q+eNQfYz9jf2O/Y/9kP2R/lb7AUZi1TvDzs/fyeaOb4Be5cP7vuNzzRWqfh3 ep7Bcd///eSR84noG5tZDYdzpyn4bslinN2+Hsf35Av/e9kD8crPBdk4VZCP U7uG4MIeB+Hre+L3nb3x267ewq/vrFqfXjFeuSSu0+J91+CmcGlXC25ubeHi 1RauInaw7dUBi7ZH4fa5OJzcOh4/528QscACFG7ZjOO7V+Hs4QLE/GstjNu+ Cxv7kTC3fx+Nu8yRdz7zPb8zH/OzHMuzHtbHelk/5VAe5Ur5Qg/qQ70ulY+f aF7u0p5fuQZH2Ec7aS/tpv3k8GC8skxyIz9yJE9yVWKPh8WX78r2sbadKdpr kurslMcbF3uqmEUVJ7Mfsj+yX2r20+eZSssUHY789C3m5S3A5p/24OfLv+D4 MeFHHhexyG8nhc95Fjdu3xK/D2/h9p1iFD9kfLeomGebc0xGfV5kFeuzuTZb td6e+0gVl93FsPHvy7XnKUkPnkGiGa/wb/4u3p3gE+Qjxy4ePNdR5XMnDkTc gGgMTIiDm29nmPf0RPvA3rBwd8bYBROlrlz7/evl09j+3c7y9f4nfjmOXUf3 q/bh5bk4d8VVIr3y0TM+RWxUHFJTkzE4JRGx4cJvnDVBsZt7FZfexPGLx5C2 bDY6BnjKO5/5vkg1P4r5WY7lWQ/rY71y1lppiZRHuZRPPaiPer079aS+ypp1 SDtoT/ug3tI+2kl7aXdiFWe5qM+hJDfyI8ehVcQrFc5/Ee3BdmH7FMs9FO4p 6+jVa5eq2j9Btac0+wH7Q1WJ/Yf9iP2J/Yr9i/2M/Y39jv2P/ZD9kf1Ss58+ z1RWqvzePX8gAx8M/w8+7fYZpmnHY1rTXvi4eQg+ap6ASY37Y0rzZKQ1ikZa 40hMbybijhahmKkbghl6QUjXCxRXANL1YzBdL0m+m6Et3jcPFvWEYkqTCExq FoOJjYIxvkEgxonvaa28Mcs4GGO93kbWwADseP1dbF2zAldO78StEs09vKHs N3O3WP4OvyL87Hz9jsjT90aupTeSe45FSBPVWo8H4pXpiGuxAJ2dtqGr42ZE tZiPEP358kz4MJ53L/z+SL0shLWainCTNAR0zcZ7IR8g0fMzRPVIx3LL7liq 3w15Jt7I1vXBBk9XXLASMYdhrQrxx29t6uI341q4pqeF887aWPxanLzzme/5 vUJ8I8qzHtbHelk/5SxnzOKdLuW/F/q+1Id6UT/qSX3D5Hn2adIO2tPFaYu4 tkk7aW9lBuRCPuREXuRGflfWzpY8Fa6aPeKe5M92YHuwXdg+bCe2F9uN7cd2 ZHuyXdm+bGe2N9ud7c9+wP4g+4XoH3zH/sJ+w/7DfsT+xH7F/sV+xv7Gfsf+ x37I/nj+YEaFfvpck8oXvHfsAPbkpuOXI1/i3l3VWcKqJOd53Xt287weWzXp P5fhm5EZ8pzCJQ1CkKkVqsQs1ga42aQB1jj6Cp87GrvbuON2i/q4VLspbjRv iLWO3TCzVhwya4VjsmECJotYM7NmhNzvd17jQMyvH1E+30rufVwzCplNwjDG /U30rLMEMa3nY2HLWCyqEYZ5OjEI7zAPrxuOxopGfnKMJLt2MBbXFjFPjQDs c3bFjZaNcVWrEa61aoSjuRbyzme+53fmY36WY3nWw/pYL+unHMqjXMqnHtSH ekn9VPPVqLfUX7yjPbSL9tFO2ku7af+l2s0kD3IhH3IiL3IjP3IkT3I9MjJD cv7L45UKSTVv7F7leWP3ZP9jP2R/vKc+C+YFiFnY80vFz5cilGDIuDzoGb8O O4f3/6JY5cG4xcputNxXyprrIHi2pJ16bUtFH5pjF+0sR2PJrEX4bf9GHPsy T/jfK6QfXqieDybnPmXjzIqVOL5zBH472B4Xd/QW/nlP4fP7Kj7/l52V/cNU 12/i4tyq03s94BXWAk7t6sClqz6cfBrDyas5nHs1x97D3rj+rS+O7w3CqTVL cCY/G8c3bcC5A2uwSsizsJsAS0tljy1z4fs37vq+vMsYTLznd+ZjfpZjedbD +lgv66ccynPyaaLIF3pQH+pF/X7T0Fm5OqvmhfninLCPdtJe2k37yUHNhHyU eGWF5EZ+5EieVlWuix8p24HtYS3XHaXJdvrL4pRKMQv7H/sh+yP7Jfvni/FX MCWV3LsnVz88iU78u7f6UvuTPxQexUW5V9i9R543qJxjX4YvuH9x/3gkJw1C YsKD5zVWiFdSUuDcszM8g7wx5BHxysD4OAyIj0a/EH9YdnFFa5+ucPPuiK7C R39z9DBcvXMBRbcv4e696zh04qBqPbhqLcWFQuz4cS/uFF8Tj4q/PW/9YkTF RMk5U/KcksQEOe6wdvd6+f3unVu4cPUX7D+2H18d34e8navlnc98z+9MzM9y LJ+kmsPGelm/0gjFUi7lUw+506HQi/pRT+pLvak/7aA9bj080Nq3q7ST9tJu 2v+weIXcyI8cyfNR8Qrbg+3C9vlC7m9c9shz75V9ie/J9mc/YCpVrZtXX4/d t5QeJGK3F2t9pEwiZrxdLGKuS3dwZ9sUHDs4G5u3r8faeduwe2wmdsb0xOoU PyxMiUBa/GCMD3kLH/oMx4fu72Cc4xv42PY1eY21H4Ox7u/jox7D8bHIM3XA IGQOCsfG+G7Y99qb2DRlI9Zv2Iaf9kxB0U/bcfOuiGXBs/AqMlHP71efNaGe L349Nw0rdT2Ef98dmR390c9yNsJ1HoxV6NdH6c5CSKtlcmwlVodnlMyvOGdK jkdkIdJgFoIbTcN//d7BlrZuGNXzI8T2m4Z8Oy/kteyGXCPGE57ItuuJ804N cMGwJn43EXEI53YZ18Rlwxq4YlUf33s5osAjEEuM+so7n/me35mP+VmO5VkP 62O9sn4hJ9/eC7GB0zHK9yOhh7vUJ7jhNKkf9aw4fjJZ2kO7lLGjpcLe2ap4 pvKcsDTJibzIjfyuL0lTcdY4O6KK/VeVWR1XZDuxvdhubD+2I9uT7cr2ZTuz vdnubH/2A3WfYP9gP2F/Yb9h/2E/Yn9iv2L/Yj9jf2O/Y/9jP2R/hOpvGS9U unWtwuNfOc/r8ZL6d9xV7OnVBwu0grC4rrhqB2KR8LWXWfTCd52tkCH89PnN IrHDwQO3X64r9wMuql0bm9t3QHqLRMyvG4mx7VLlWfBci76gQTAW1g+W86kW 1Q7HQvGea0AWNY3AsI4j0KdOFuKNZmORcSwyaoZjbp1YLGkajDeajUG43Txk NVfmgWXXCZLnzme81BfLPbvjhm4DXNbVxpqOvkifHCfvfL6h00B895b5mF+W E+VZD+tjvayfciiPcimfelAf6kX9FD3Dpd7UX9ohz5iJxLh2KdJO2ku7aT85 kAe5kA85kRe5kR85kie5ki85l6m4P5/mrnreWOV++byTem9j3gd/LGKW1m/A zv7viFlUcYvdSOEPj4W1LdduT3twTb7NSNg6jkYbw/cx7sNFuHhkLX7auVSO F5zevRpnNOMVcZ3Nz8O3W+aK+MQfP+8KxK87A3B5d0fh2zviwj4H/PaVk/DZ nfD7fkf8vtdBfHPAL1+5IqB/MziZN4ZLD2M4ejeFTcdG6PlqS/x83B8Xd7nj l31dcGx9Fs6uWIyj69bgzOHViBw8AcbGH8LB4VOVPz8KrWynq/z+4fI9vzMf 87Mcy7Me1sd6Wb/v0JZSHuVSPvWgPtSL+lFP6ku9qf+FvQ7Snksilvl1Rz+c 2RUgYhp/aTft1+RBPuREXuRGfuRInuRKvvdjSGUtPduB7cF2kXsR/9VxijpW Ef2O/Y/9ULNfvqhJ0798Uj/z5u3bOCLXWP/B+eglImoru42RE9+X564nJyUh MVHEIIkpSJL+/IPzwehft+/dBV0Cuj80XuFajPj+3KM3Ch4+3dCikzNMu7nD 3aczhgxKQkhYMD5ZyvMQlb+xnbtYKGKBQ1Jf5e9/d3Hm4hm5VqQIt5C9ZSli RIyRknB/zCIhvj8GvToIF2+dx/XbV7D9u93YLPz5s6Kuu3dvYMnO9fLO503i Pb8zH/OzHMuXj2GIelk/5VAe5VK+pj7Uj3oqvaZE6k87aA/tMvV0R4vOztJe 2k37kxMeHGNRxyvkR45Vxyvxkj/bge3BdmH7sJ3YXij5g3PteY6KaP+btx/f d/oz/e3FTFfkdQ83RJsW4yb36i4pw4074n6rBDdv3pMX/33jDnDjXpnMU4Q7 onU5n4t7Ij3k737Knw8Vf7ms6rkz6nkOdw7tRX4bfxToiLjC9z8IaDcLETpV zAUzmIrYFvPR3vUQerRbh1jtBao16RXXt0S0nIMY3QXwM56Pd81fw2deCehh tRL+jfMR33kalnv0wHK9rshr5YXFZj7Y79kWVwxewi+t6+BSKy1cMa+Nn4Rv s65LX2SbByKnZQ9k6ITJO5/5nt+Zj/lZjuVZD+tjvax/ecceiO8yTcqlfOpB fagX9aOeD6xPEfbQLu9269G+/SFpL+1+YIxF8CEn8iI38rtzcG8FrhVhl8l2 KFX7RA/tuqWyXUtkn7ij9Il7ZUr7P9AnlP6i9Ili2Y/UfeqfmEpL/555Xo+X FB0EbSzvGY5MrQBk11XmU+XUCUSG8LlXuvVFrnU/ZNYOw292+rhWuyEuN2qG K7Xr4LSvETJ1lDUe6c3jsKhGJGbXjMS0hlGY0ngQpjZLQVrjVMx8uT9m1RG/ J+w/Rd+ai5BoNBVZbaNlbDCf597Xj0Z2jRC8bT8SfQ2zMa9tLHJe6ofsekKX OiHIeskP081i8a2rHVaa9cYcUSa/h3LnM99PN4tD1st+Mj/LsTzrYX2sl/VT DuVRLuVTD+pDvagf9aS+1Jv60w7aQ7toH+3M1I6QdtN+ciAPclkk+JATeZEb +cl5aYInuZLvvfL9p1+AtlfPG3sBxlSqSvLvvqVlzylmeVflJ49U7SXGtdyT hWzVGR7Cn7ZxGgPTlp9g2Kuz8cuRfBzbuRzHdy/Fz3s34EyF+WBLcKYgCz+u 3ojTe1Jx7kCE8Ot74OzBbji6ezDObn4LP3/5Gk7teR1nvvwPzm1+HT9teRuF R0Px738Zw8zRAM6966BDj9po514Ho2c54ea3vvh1uzt+3d8eJ3aOwqml+bi0 eSnmLMyAsfUw4fPPFPrNFHoOg7ntaGh7jJJ3PvM9vzMf87Mcy7Me1sd6WT/l UB7lUj71+I/Qh3pRP+pJfak39acd0p6Dnop9B8JRKOz9cc1GYX+m5KCeDyb5 CE7kRW7kR47kSa5KvKI+O0e9lv5j2R7PdI3KE8Yqsj++ED+3n31S2/Xd6R9x 6doveNgYi3ps5eCpA4hNiNXwreOFj5worlRxJd33n8vjlWR08PeERz8Rr6Q8 Il4ZEIuw6DDouDmhjps9bLt5yLXm0XERiIuNQpzw5+euzRLRgTLucfj413Jv K9XIrHz3zfkjCHwzHkHhgUpspFrTwT22UvrHY9hnI7G/8AC2fr0FP/16XPgh ypyyojvXsHjH5/LO53viPb8zH/OzHMuzHvVaHdZPOZRHuUpSnB/qRf2YqC/1 pv60Izo2QtpF+2gn7aXd8QNiHh6vCG7kR47keT9eiVfNpUtS8U8sf8e62E5s r4eNsajHVtjubH/N/vD/Y5KmlZWp9hq6J/3VknuqeQgyg8b12JUqV5k6JhF1 cf9A1s8Xj30moIp7yV2gwDoGS9t54DWfUQhoxrNKKo4phOlPQbTuVPRuuwbO Ht8gWjsDoXKuVFVzxqYiRnsRgo3mIuKVqQh0mIdw7UmINZiJoMZLRcwyA7m2 PlgmYopMg174opM9rrUTcYppTRx3a4P1HX2RZRmExfo9sFRfxDVG3bGoZai8 85nv+Z35mJ/lWJ71sD7Wy/rju8yQ8iiX8qkH9aFe1O/BWGuKtId20T7njkeE vWul3WH6FfORDzmRF7mRX8ndilz/qBHLlB/0st3YfmzHcnf9KfuE+m9csk/c U43vlN5TxnzKyl6MUOCfkFSgbt29i1ku/8JirT7C31fWjeS8HIB5jSOxt117 nDZrhYwe4bhYVxtX6zfG5YZNcLl+LVztYICFplEYZzAIc+vFYrppItZ274Yd Op1QYNwHq+38saql6Pstu2Js/3fQ1yUTcU6zMd+jP6bXGYjZWnFYWCsSC3hG Y80wzGsTj766Ir4wH4nlIvbIqheMHK1AzGsSisXOAZijPwCZNYKR17Qf0gdE yTuf+X6xS4DMx/wsx/Ksh/WxXtZPOZRHuZRPPagP9aJ+1HO1fi+pN/Xfod1J 2kO7aN84/UFYaBIl7ab95EAe5EI+5ERe5EZ+Ml4RPMmVfG+p9zKu7qCPlUqf e8zyrspvfk/4y5NgpV7bbauc1dHa8DMEpqTh2IHlOPnlCul/F+7dKvzx5ap4 ZQkKV2Xi/Mq1+H7TBpz6PgbnDqbg+I5xOLE2G6dWLUdh/ir8vCJfXCvlxX20 juavxsWtizHxvVlo7vxfOPgGonVXb9hEmWLvV71w/aATft/TEZe+tMfx7SIG WrsCh5dnoEPPCWhj8RbsnUVsZfMJrC0/gHHHIagb3VHe+WxpMwH2TpNkPuZn OZZnPayP9bJ+yqE8yqV86kF9qBf1k/t9qXSm/rSD9tCu49vHSTtp7/cbNwj7 P5ccZMwi45XlkhN5kRv5kSN5kiv5krOylmiS5K+MFf1Nbf6QWKX0/+P/btX+ 6YVrF3HwOM8IrDpeUZ8bODlzOmIjI5CSlFDx7/sqvzlB/o0/qdzXHir8enfh a7v19ZRjA1XOBxPvEpIGoFPvnqjR1gitXOwRGxuOGHH1j49GspBF/zs6JgrD Pnobn+/ZhI3fbcTu73fg9+unsf3oHsxaMhtDXh+KvoF9YOdmK2KAELnu4xXp 38fBspMjXpnyNk5eKBRtqowp3Cq+Key/gzt3riNn5zp55zPf8zvzMT/LsTzr YX2sl/VTDuVRLuVTD+pDvagf9aS+1Jv60w7aQ7toH+2kvbSb9idVwSZRNUZF fuQ4VGOMqjJvzfEttg/bie0F9TmhD4lX2O5sf83+8H8vlVW4VKHNo68Hyv0Z 8Ur54hvFWG4RjSzr7gh0nYPwFpX3MebYiohXtGfD2mEf+hmuQLQeffgqYpWW UxFhMBkRjecj0nc+fAKzENl4shyj4LyqOP10BDVfiUH9JmKVpRvymnfFQuFP /dTFAls7eiPLSvgw+j6qOMULeYZeyDVU4hXe+cz3StziI/OzHMuzHtbHelk/ 5VCenM/FvcCEHj6B2UKvBeLf86WeFfYqLo/N0qR9tNPafq+0m/ZXjMmmSE7k RW7kR46aXP9Ew+DP9Yn/q/89PcOkasOiO8BC3VRkc517bSVeyX4pCAubheOs tSGKtWrhYHtHHHU0xa0aDXChaSNc5fhKNxOMdhiCGRZx2OHsgfMWTXFFvyHu NKqLojq1cVfrZdzVqyfi3AAsEnUtbt8PhR1b4ycPM2xo443P3X2R3jpBri2Z Xi8BMxvEI7BNBv5lPh652n2RUSMEswwScNDFCb+YNMfMlgnI1/LFOLfXEDTl M3nnM9/zO/MxP8ux/L/Mxsv6ZjYYIOunHMqjXMqnHtSHelE/6kl9qTf1px20 h3bRPto5RthbKOym/eRAHuRCPuREXuRGfpIjeQqu5EvOmtyr0x+nFyNm0Vjb Ypum7IFsMx6WJuPRPmQsvhV+96ndyn5Xx77cInzzZar15VkoXL0a55fuFT75 WBz95i2cXrVD+Oz5OLMyB2cKFit7/HJth/riWES+iHEK8vDN5i3w6DkNxk0+ gYFpGj6Zno9TxzNw8oex+OH0Gzjzgz/Ofh+AY5/nIMxnCizacCxC6GgxHtZt P0Xrjq+hTa+2aBboKe5t0NrjNdiI9zbivy/mY36WY3nWw/p+OP2mrJ9yKI9y KZ96UB/qRf2knpp6CztoD+2ifYXCzqPfDMPxA+Ok/eRAHuRCPuR0QsWN/MjR 0uRjyVW9x/Tftkbl/3isok5qH3X/sUO4cuNXQHVOYLlfW6pa43DzPFL/+woS +3NuVFXrw9V+dIr8e3+CyMNxiM4BXnB95FymRPRPSEBLRyvUMjVCn7AAxMXH YOCA/kjWWIeekpiAAdExiI6LwoDkODj3cEdSSjziEuMQLXzzhLg4DE5NRlR0 OJw6OyM4Mhhe/l4wcjZDx4DuOHnpuGJwSRHu3r2JoiLO2SiuEK/wme/lvK4S Zc09y7E862F9rJf1Uw7lUS7lUw/qQ72on9QzOkbqXT6WJOyhXbTPX9hJe2k3 7U/SGB+pPKeO/MiRPMlVGU9JeSBOuX8NlO3E9mK7yTi0cpuKdmZ7s901+0F1 eg5J/TfkojJktxuACb5xcp/eCO2KcUgox0v00uBluhpuZhsRqzMDYZX9d831 K03TENI5HR/3ex19OmSL+iaVj2WEGaQhVlfENIY5GO37FpZb98bmnn7I9xP+ oG4vLDPoiqVGnkpcoopPHohXVHfmY36WY3nWw/pYb4ThYiknTD1OxDNjhB7+ btkYH/C61I96VrX/l6LnFGkn7e1uskraH1ZpPIacyIvcyI8cNblWp39wUu1F cOfwDuTV642smoxVlPUfWVrBWG7vjwvNWuCWdn1sb9cJmWZB+NneAJfrCV++ Zm3ke/bEZP9BuNpOFzca1MTVesK/r91U2cOrVhNcbauDXLNwzNGKxqI2IThp ZYxbWvVwvWZDFDeojSutmuB3fV1839kKm029sMrHD685jYe/aTZmGgzEBrPu +NnMGGVaNXBNpzaWdfPH5HbJiHachoH/eVfe+cz3/M58zM9yLO9vki3rWy3q Zf1cW0J5lEv51IP6UC/qRz2pL/Wm/tIOYQ/tkvYJO9OEvbSb9pMDeZAL+ZAT eZEb+ZEjeZIr+ZKzJvfq9HjpxYhZ1HHLSLmewt5uPmysMuHi9ikOb1mOwq/y cWJPHk5uXS589yU4syoP51duQOHKrcI/L8DBbetwZu1OnF2xSfjsiyqs51Cu xfKsd56DUrjlc5zasw2/fbERGxYuwBsxo5GZlomzh9bg5I4VOCZ8qu92L8OZ A/n46mgu+rw2EmZt/dDONwkG3cNh6hkIS89E2Pnpwt6rGRr0iYR996byme/5 nfmYn+VYnvWwvu92L5f1Uw7lUS7lUw/qQ72oH/WU+hYsrsKWRTgn7KS9h4Td pwsKBIdtkge5kA85kRe5kR85kie5KuuF/qY1KtWxSnkqH2O5fkm1LqTiGIsy FwzYsG+jXHuu6X9XfSnrKRISk/BKyhB0C+oJZ7+uqrlM/VX+NfMMFL53ElJF Hv9gf2iZ6KOjn5coN7B8b94H5o4lKWe7cIyjk283dO/jI/35pETl++DkJBFD JMHd1x21WzaBWSc7xMdEYvyMT0S73i2fF8WzD2/J+OROpXjljnxfqhqPYH6W Y3nWw/pYr7uvh5RDeVI3IZ96UB/qRf2UMZUH4zr1HtC0s6Oft7Sb9qemDpE8 kmSMpjAiL3IjP3IkT3Ktar3QA3uFqfYYYLsxac4JU4+tsL3Z7pr9oDo9h6RC f0M0UXbXJLzp/hr66M1DlL7m+nllLlSE/mw4tt8vYpd5D/XxI5iv+ST0cs/E Z16xyNEPRQ+ndYjUmajECzwjXmcSgltOR5BRLuID5+DHUGfcNdHCjg62yDTu KWKQbqqYxKs8Pqkcr9yPW7xkfpZjedbD+lgv66ccyqNcyqce1Id6UT/qSX0j Ko8llY8ppSG05Txpd4TBbGVOmEbMQk7kRW7kd+NWRa7V6Z+b1HtRnC+YJPzr zsiuHa7MBasZgHl1o7DTvCOK69fBL831sMguTOQJwRI7P5y010ZRg/o4ONAB vxkb4HpdjjXUk2ckXm7YFNdebogrli2wwqwfFmiFYZ5pDL61tsKtl+vjUoNm Ms+lhiIWqNsE1+o3wo2aDXC7aV3c1GmAjY49MCbqDcwekow1bftiewcP7Ozq go3e7pgU/i/RF5cgpu50vDnqX4gW9z4tl2BSxKvY5OMu8zE/y7E862F9rLdI 1E85lEe5lC/1EPpQL+pHPakv9ab+tIN5aBfto520l3bTfnIgD3IhH3IiL3Ij P3JUxljCJV9y1uRenR4/vTgxy7uwsB0OO4cPYWP3KewdJmL7ul04v2s9ju3e gTNbv8LZvHycKxCxScE6nFuVhWOrduLoql04tywf51evQ6EcZ1hy379fqYw5 FG5dJ+KB9TixLx+nd27A6ZVL8Jsof1nU/fvhTTj+5VIc/ZJ7Ji/FhUMrsWvr YviHT4ehuzdc+jSEfS9j2PSsI+4N4drbHs5eTWDXXQcNfZLlnc98z+9KPmNZ juVZD+tjvSe+zJNyKI9yKZ96UB/qRf2oJ/WVY0krszVilSXSvvOrP5f2Hl29 C8eF/eQgeZCL4ENO5EVu5EeO5EmuFn/n3K/qWKVCUvuqXx07iKs8815jjIVz icqEb/vpvImIjRTxSvIfxSsae/GmpKJ7sB+cfL0wZNAQDExQr9EXsUtSinhO FP54Etp0c0ObLs7KGpEqxhke8MWTEhATFwm7Lu2lfz84hefSJ8Cnny9MO1jC RfzeiImNgJN3J3Tx98HmfRukjSV3b6nGF4pw4+4Nue9wcbESr/DOZ74vU/n1 zM9yLM96WB/rZf2UQ3mUS/nUg/pQr4rz5aqO6Whnqoh32nRxQpuuHTBUxD/k QS5qRuRFbuRHjuT5sD3WHmCUnCDbi+3G9lPPCVOPrbCd2d6a7V+dnlNS4b9d VIIZff+NyM4TEdZimrIXsYxTOD4xDbEtPoG7/VZ4Wm9CnK7Ioz+tylglssUk +NjnYKznEHyu3R7z24Wip+MmRImYIVx3EkK0RZzSLgPJbrPwcfvXMN0wHrk+ YbhmVB/fe+ojh2vlDTzLYxGuV6l6Ptj9eIX5WY7lWQ/rY72sn3Ioj3Ipn3r0 dNgk9aJ+1JP6Uu+qYhbaTns9bTbBw2GL5MB3cpyFbAQn8iI38iNHTa7V6Z+b 1GcX7l+9EnO1fLFE7iEchMUvBWJRkzAcc2yHmzXq4XeLlshqJL7VDJJ7cOWa ++G4lxGKXeqiSKuO8P1r41rdxrhcrylu1mqAX+10UWDdGwuFHz/bYAAOWzih qHZdGRvw7Hd5iRiA56fwutxExAMNmou6auO4Z1uccjLDVuuumFB/KNJ1E5Cu F48ZphF4o9loBGktQGzjaRg9YpC885nv+Z35mJ/lWJ71sD7qyPopRy1Tylfp Qr2oH/WkvtSb+tMO2kO7aB/tZF20+4SwnxzIg1zIh5xu1qgvuZEfOZInuZIv OWtyr05Pll6MmEU5l9DGYYK4vwdzx+HIy+feWgU4tW8Xzn5xGGdX5KnOuM/E mVXifcFenFuTh/NLudYjp2KcsjIHhRs/x8ndm3By70oRI+Ti1N7PUbhutZx3 dWJ1Pn4SMcKPO/NwYtdy/HIgH4WHV2Da3Hlw6PEBTE1HwtTjNdj3aA7XboZw 8tKBS/fmcPa2g4NXY9h310PjLm/KO5/5nt+Zj/lZjuVZD+tjvayfciiPcimf elAf6kX9qCf1pd7Uv3BlTsW4Rdh5ftkqEbfkSfvPrFqpmkOWK/mQE3mRG/mR I3kqXEeg8v7R1bHK35PU/urv1yqOsUi/HXdx8/ZFvPLGv5DQP67CHK1HxisJ ytkhvYJ6oL2nh/DHBwv/O0EVjyQoZyEKvz4oKgTawmdPSuyPpCThj1c516zi xXlSg0Rs4+HbFX3D+iFQXG3crGHT1RER0WF4JTVZnvs+MC4Glv5dsefUfmlf acn9MYabxTfk+SMV4hXxrLxXjS2VKH+oZXnWw/rkefKifsqhvDZuVlI+9aA+ /P6oPYfv8xko7aXd2iJWC4oKljyUMzUVTuRFbuRHjq9Ucebmwy62E9uL7cb2 k/u/VRpbYXtrtn91ek5Jhb/4VjE+ee1thBpPRrje1PtrNTgmIfz8AOOFsHI9 LM9JrDwnqjxW0Z4MH/NsEQO8itUG7sjT90SGtT/8u6xCROO5CBRxQ6LHfIx1 ewez20Zhpn4opuuF41P7gfi6mz1+b9sEOe7eyGvpWWHdyiPHV5hP5Gc5lmc9 rI/1sn7KoTzKDWq3UOpBfagX9aOe1Jd6U/8qYxY5LjNZ2k8Okbqf3R9jISfB i9zIjxw1uVanf26S572ItG36VnkG+5K6Icr68JeCkGkWht91daR//qWLKxa0 iED2SwHIru+HBTXDkdYhDtusu2CbnTPOOOrjgrY2bjRogGPtTLDUsjcyhM8/ o9kAHLJ2lefAV4hVymMWEas0EnFDncYobl5H5HVGtn0Irlo0xzF7M8xrEYNF WuHyTMecOr0wtOV49K6dg/4NpmDy2wPlnc98z+/MJ/OLcix/RdTD+lgv66cc Ka9Bkwd0kTFL3TpSX+pN/WkH7aFdtI920l7aTfvJgTzIhXx2C05FWnUlN/Ij R/IkV/Ldlr61Avfq9OTpRYhZ5HmGdumwtHkfbexHyrPRftnPs1dWonD1kvKz Ebme41TBLhQWrMHZ1Tk4V7Adp/LF91U5ci5V4eoVOL1jE07sXa06a3KpiAEK cHrbRhSuyMLpgqU4tUP8e+9y/HYwH6cOrkBOXgYCEibAyGoEzM1HwoZnV9qP goVfa9h3bAHHziZw8hXxioe4PDm+0hLNO4yRdz7zPb8zH/OzHMuzHtbHelk/ 5VAe5VI+9aA+Ui+hH/WkvlJvoT/toD1yjpiw79TKXJxbtUvaTfvJ4UzB/TM0 yYm8yI38yJE8Le2mP+K8yOpY5e9I98dYDuHaTWWMpUQ1F+yr0wcQnxBX5R5W j4pXBqckwz+4F1w7uWLIoFSN+WD8PkD434kw6N4B3UP7Ygjji4RkVL02pmKs kir8+n8NHoQefb3RuK0ObLs6K/uCiTgiNUnZx4tzseKiopCWOR0HzhzB8TM/ QZ6PQn+9rAhFRddkTFIxXlG9L1P79SWyHMuznji5j7MyX41yKI9yKZ96UB/q Rf3+OGYZKO2l3bTfwKuD5JGoMQZDXuRGfuRIno8bryhzzwbKdmP7Mcn2FO3K 9v2qet3Ki5PUbXD3Mv47+FP468xApMZcrzC5z9encPE4gN5muYjWmYjQSmMr cg5Yi8noZbIQ432GYo0Rz3v3wYpWIl6x6IGA6CWIt8rCB13fxyzzOMxqGYJp BhGYZhSFdKMITNKLQ7ZPL1x3aIZtHTojy8AXSw273V+nYlQpXjHSWL8i8jE/ y7F8lo8fJov6WC/rpxzKo9zRQj71oD7Ui/pRT+pLvak/7agcs4QaTJN2+wn7 nd0PSB5hGmv0yYvc/jv4E8mxAtfq9I9N6rMiD43MxjwtH+TUD0VO7QDMezkS 28w740azhrjduD52GXpgzkvRwjfvjcU1+2CKUaxyFmSNQMxpLvzyJsGYZxaN 7/vYYF1Yd8xrGI1M3VD8aGeH0poviTihibwu1VfmgpXHKvWb4madBrhkoI0t rl2R0Tgcs+qLOMiiE240bYTZVv2xUOgyr36siAn64U23d9G3SSbi607F/H/F Ib7OVPnM9/zOfMzPciz/haiH9bFe1k85lEe56phFzgkTeql1pL7Um/rTDtpD u2gf7aS9C4Xd84T9U4ziJA9yIR9yIi9yIz9yJE9yJV9yxt9+ZuT/f+l5xyxW tu/DwuwzWFm/CxO7kZiRswC/7l8ufHfV3mBcd06fvGCtyk8XPvzqXJzPW4Ez +bnKuMr6NSK/8Pv3KOv0eXbiceH7n9wp4gIR05wtyMWVr7bilyMFOLAjD1Pn zIV//ASY2AuZbYbD2lY5D5JjEWY249C2Ww8499CGq70unL30YO9pDFef1rDz 0oW+w2R55zPf87vMJ/KzHMvfPzteqZ9yKI9yKZ96UB/qRf2oJ/U9odpnQLFj o7SL9p0Rec4vLZBnrdB+JW5bq7AoUPYIIy9yIz9yJE/J1fb96ljlOab7YywX cfgkfdkSlNxV9mLP31iAiKgI6Yc/abwSGNwHHTq4YMjg1HIfPkGeK5IEL/Gt VXd3xU/nXsGJD49X1HHKkEEpCIsKgWVnB1h3doJZB1u57/HQVCUeUvv78pyU gbE4eFKZ87Tv2H4cLfxW2sW45HbRDbkHWHHxDRGvfC7vfOZ75cz3Epmf5ZgO nDgg61Of65Iodeov5VI+9aA+1Iv6Uc9Hxy0DlXlf8gz7RMmBPIZojM9IToIb +ZHjk8YrlM92Y/sxKe1ZItv39//ze4K9YKmEuz0AKW+lI6T2ZIQbqtbFC588 WudT9DLLg7PbAcTST5fjChrjK/TttYW/bjwHE/wHY41pR+Qa9UCubhcsatgF K4IikPZGCtL0h2Juq0hM0w+TccR0w0jlMorEjJYRmGA/AD910sF3Hg7IbReM pa04J4xnPlYdr8j34jvzMT/LsTzrYX2sVy1Dxi1CLuVTD+pDvagf9aS+1Jv6 0w7aU3FvNGVeXKyM2/bDzzxXcimPWQQvcksZNl1yRLW79c9P6jOay65iv4iB F2gpZxtyDlNGkzAccrSXa9F/b6mNFW59kKkVjMX1e2G++DbFME744X2Q1cgP eS+LOEErHCtN/fGLlQGuN2yIs22NkOcXjO1GnXHExQYXWurgil4T3KlXB9df boir9RqLqxlu1WuAM3ZGWGHVD7NrxiC3Zl8seCkCO9t2xL3WtbDBsgfSaw5A Rr0oLKoRhLSOqYhoNhextaYjKzpK3vk8RbzPEN+Zj/lZjuVZD+tjvayfciiP cimfelAf6kX9qCf1pd7Un3bQnvPCLtpHO2kv7ab95DC/SaiIV3pJPuREXuRG fhmqOWHKmZGB2N/DT/IuU/GvTk+fnlfMYsG5YPafwN5gJGytR6G18LPTFy/A b4dW4vjW1ShcmSv98bM8E7Fgj5wPJscTxHV25XqcK9iEk1vW4vTeddLPP/7l chwT19FdeSjcuxG/b1qNixtz8dOOzchYsgiD3pgMZ98xMLIYAZO2I2Q8YW2v Mf7AM2KsxqB15zi49DSGm20jOLu2EP92hIuvmYhPtGFqN17e+cz3/M58zM9y LK+cwajUyfpl3CLkUS7lUw/qQ72oH/WkvtSb+tMO2kO7aN+5go04m79OtedZ tuRAHmdXKXzIibzIjfzIkTzJlXwt/upzVqpjlUemimMsFwQc/ua/hxkZkxEb EfHYa1fK/WXhe4eFBKB9ewe8Mqjyfsbxyjyo6FAMSlLHK0mq/Xnv56PPnpyY gKGifHRsOOy7tZdzsHwDeuFV4cv3Cw2Aq3cnuYZEXT/HQAZER2PYuBG4W8q9 vrhJ4118c+Igvj95GHRmbgvfvbjkFu6q4hXe+Vyk8umZj/lZjuVZD+tjvep1 9JRHuZRPPagP9aJ+1JP6Um/qn1DJdsVWJV6h/eRAHpq2y1hGlCc/ckxVr+9/ zEuuYRHtxvaTZ6yL9mS7Vo+tvFhJniMp0uULexHlMxFhzaZpzAWbgijdNFi5 fYMAo4VyXpiMVeTaDeV7BPfzbT0T48MGYY1ZZ+RoeyGzSUcs6xyNIxk5KLl3 Hgf/8xom1YvBTOPBIo6IuB+rqK4ZRuH4TD8ey3p44aJrbeTaRWClXl/kGavG UqoaX+ElvjMf87Mcy7Me1ldZBuVSPvWgPtSL+lFP6ku9qT/toD0R6v2c9aeo 4jONeXFuhyUXzX2eyY38yFGTa3X6pybl51MpbmB1T55nL/xqns8o/OuFIu79 3VAX12s3FD68LhY0iUZWnb7IrtMHk1oNwMJ6Iciq1xtLavXD3BqRWNY2CFct tXFDqz6uNG2KFfb9MP+lSMx9ORKZzUMxXy8K65298YVpJ5zs0BYXm2rjUpNa 2G/qgLniW9ZLYcjjOZX1g5FdIxgZTuFyjclBRyfMbt4fC2tGYYH4Prd1HGLq zEZs7elY1CFI3vnM9/zOfMzPcizPelgf62X9lEN5lEv51IP6UC/qRz2pL/Wm /rSD9tAu2kc7aS/tpv0L64dgkuEAwaaP5ENO5EVu5EeO5Emu5EvOpfK80/v8 q9PTp+cSs9CvNx8LB/1RcBBxgIn9CMzPXYBfDokYZPMG/Jyv2p9YxCWFBdvk WZFyDfrKLOHDr0ThF9/ixL41wr/PE76+8PGFn3/+q+X49cjnOLphNZZMnoP/ vbEQ7v5jYWIzAoZthsPcQsQkdpXiFM3xHptRaOswEvY9W8Pdrh5cbOvBrYcj HLobw8FLGxYOb8o7n/me35mP+VmO5auqV8YtQi7lUw/qQ72oH/WkvtSb+p+Q MddyaRftK9z2Lc6tWintVp+ZeXrVNsFmk8JHcCIvciM/ciRPciVfzfipOlb5 +5Paf/3tKsdYeOZhCYpxG8Omja7gpz9+vJKIyPBQOLW3x6BUJSah3/6q8PGd /b1h0bOr/Pd9Xz5B7tWr9tU5n4n+flx8NFy6u8GkgwW6i3IcN3hFnj+p+P52 XVwQExdVvs6d36OiIrBqx2ppT6lqnT3t+eEU45BD4l9FuFuing/2ubzz+Z54 z+/Mpx6LkeVFYn1RGuNMyrr/KClfxiBCH+rF79ST+lJv6i/jloSBGuenpEp7 1TEZOVj06ia5qJnIWEZwIz9yJM8n4V8et4n2YzsqYytfy/bVbO/q9HxTCfcO Fb71ztUZiHd9BxE6s+TeX1xPH6v9CbrZbUAnpy2I4TpzzXUrraYhkrGKyQy8 Fz0UBW06IbN+Jyx1CsTXGUtVZ6oqaW3mfoxtEoQ5RkOQbhgr4odKMQvHW/Qi MKXDAJzp1QxbPJyQpxOEfMNAGZPkGnrK+V/yvEhD1bN4L7+LfMzPcizPeqZr jt/IK0LKpXzqQX3UiXpSX+pN/WkH7aFdtI92as6Ni23+CTyctqGr7QbBZ4Ky 74Dc82yW5EeO5FlSvSfrPzup96EoKcbcTkOwWMtf+tULtcKx0bY7ruo1EX56 A3zf0RJZLUKw+OVemKkbgRl60VhctydyavtjXk3u/xuGa61b4JpWQ1xt1hhr 3HpgXv1I5NTsJ+dCyTXnHLPRCsG8JrHIED5+epsoFE5OwNaQaMw1GYgsLS/M 1uopfPp+yNbqi6zGkbjURk/6/LNMRXz0cjTmNwzE1Eax6N1oKaJfmo5ZLQLk nc98z+/Mx/wsd6mtnqyH9bFe1k85lEe5lE89qI/US+gnYwtxyTlcNftJO2gP 7aJ910xaSHtpN+3PERzSBY+ZupGSDzmRF7mRHzmSJ7mSLzmTtyb/6vTn0t8a s9gI395hNBzajoOD3nDY2E2GmcNwLFmegV8OrMWJNTxXhf75MmWNOc8q4ZoN rkPnPlq7NuDUnh04tWOLuC+TYwsn9y/HilWL8fqbC9DRfSzMrD+GYduRMDMf DivbUbDh+Yl/YIuViCPM7D5EG6/ucHGpB1frOujg1hounVrAoacuLJ3+K+98 5nt+Zz7mZzmWf2T9Qr7UQ+hDvaR+Qk/qS72pP+2gPbTr9Hbat13a+3P5/mGL 5V7G5EI+5ERe5EZ+5Eie5Eq+5Kycc18dqzyvVD7GcvSgXKd9V/jrQ0e+iYS4 mMdea38/XhFxQ2QE7NzskJqi+OrcZ5dnkzTt6iT9+Ir7I8fLPX057jA0NRkD B/aHh29ntHY1R2e/rvL7kNSU8nhG2YMsGd379kBXP0+5Dl7O04qLw9C3/42r dy6q9jpT7+OrxCzHf/4eX/60D/fu3RLXTWTvWCvvfOZ7flfWuqjPKylS9tQS 9bFe1i/X3wh5lEv5SvwUXx6PKHrGS72pP+0YKOePqfZHS6g4jkQOcQNiJBfy 4bNcJyO4kR85pj7h+JZccy/aje3HdmR7sl0127k6PeekOuu8tOwmVr4ShVS3 iQjTnaH433ppCDWYAbtuRxDBPYE1z7AXfnuUzmQEtJmLf4e+jRw9dyxu44fd w97B9R+/Kq++pLhYyji8Yw4mGXhjpuFgETcki/jhwfGPGa3C8YnpQOz0tsWh jiZYZN4Ly1v2Rl6rUCyttN5+KcdWxHt+Zz7mZzmWZz0PjK0IeZRL+dSD+lAv qZ8qUW/qTzuWCHtoF+2jnZr7F0e05HM67Dy/lXzIScZ3ghv5kSN5lqkPeaxO /8ykjlfuAnMNh8oz2HNqBmF+4wh8adUBt2rXx+0G9bCtVVfMFn57dr1emGwy QMS8wk+v1Vvu15trEyr88ua4+lIjXG/WENs7umJBw3DkcF1+bdV5iaoz3pc0 CBO+ey/kmvjh1L7DKvk3UHTzKn7+PAO7P8vDWp8oLNAfiDkNe2GPpTVK69bC GsdemKUVj3n1wpDeKhoh9hnwr5WFNJ0Ieecz3/M78zE/y7E862F9rJf1Uw7l US7lUw/qQ72oH/Us11noTztoD+2ifbST9tJuuV+x4LBI8CAXzgkjJ/IiN/Ij R/IkV/Il59t3K/KvTn8+/a0xi90HsDYeA3vdt2Fm9hFsnN/FxtUZOPfVZhQW LBUxSiZOF+wQ/94kz0c8I3z1U8IvP7Vro5w3VbhnOS4c3ovvvtyMyTPmwK// eBEHfIw2Oh+infl4OZ5hY//uk605txsBK8sPYdptABw668PNqhZc7Juig6cd 7Pz1Ydb+f/LewdNevG8mvzMf87Mcyz+uLOpF/agn9aXe1J92pAl7vt+1GZcP 7ZF20l7afUrGcarzMwUX8iEn8iI38iNH8iRX8iXn6ljl+Sa1H/vrlQv4tvBb 3Cu+hldeSUVCpfMbH3f9RFRUJKw62yMlmeMIA+TYQTufTnDr66s6kyX+fvxB P59+f1ISuvTpARNXS7j5dMSAgbFynYg6X2WfPD4+BrZdXWQ8wHXwHAPJXp8j 7dA8d+T+2SMlOHbmJ2z+fg/u3L2OvC83yjufj2muy9copz6HhvUqYyyJUh7l Un5lNmo9qTf1px20h3bRPmmnRj7lbMhkyaVdj06qMZYBkhv5keOTrB8qj1dE u7H92I5sT7arZjtXp+ecVO1w59ZVTPEbhNe7fIIQ7ZlyfhP37e3gsgPdrNYg Rvv+2Arv0XqfoV+rOYjt8RGyrXyx/V8jcPGHfSifQ3NPWadcVqrMibr90w5M M4nC9FYxIm4YKsc/plWKKdKNIzBFJwYLvINw1qcpstv6YGmrbsht1ReLRbyR a+gt4pUQeZfP4j2/Mx/zsxzLsx7Neqepxm+kXCGfelAfab7Ur0xjP6IyaQft oV2x3h9JO2mvpv0cd/K0XAM3l+1y3Im8yI38yJE8NflWp39gUo2PFe/fgby6 vZFVKxiLXw7CgmYR+MVcH9fomxs0wWZXTywSvva0VpGYqROKJTV95bhDvmsf XNVuiisi381mDXCwoz0yGt7fw1ft9y+uK+qtEYR5Wt2wOnE0in7YI+VWNZ+w FLdx+9plHFmbj4KUj3DSRg/bu3hhlvEALNEKRKZOAF5z/hB+OksxzTxC3vnM 9/zOfMzPcizPelhfqRz/rpjU8qkP9aJ+1JP6asYscj2PsIv20U7aS7tpPzmQ xyzBZbrgQ07kRW7kR47kSa7kS87krcm/Oj2b9NfHLKNgYTsStvYT4KA/AvY6 on7Tj+DkMQaHty7F2R3rUJgv4pNVq3CqYLe4L5HjCqfWrsTRXRtwcrcy/nBw Zx7enzgL3XrPhLHZJJi2+wzWZhNh7zAWVvZPr5+V9Ui0dfkALt3aoIPVy2hv 1wTuXp1h3reN8I3eknc+t7drKr+7dGsr87PcU8sU+lJv6m/abiIMzdPQzW+G tI92yvGj3cul/eTAvcPIReGzSvIiN/IjR/IkV/IlZwt5XuQz2iusOlZ5qlQm /+ZbhkMnjqDw1x8wdIgSr6jPZXySeCU6NgrtutkL37w/Bgs/3T8yCLrCx09J vL8uXz1OwvzefXvIs00cvTsiJj7+gXlUlS9ZNjUZnXp2hW9gLwxOSETyf1Lx 2/WzwpB74kduxbhDM2b57rcTMkbJ2bpK3r8Xz1XFKsrexrdlfayX9VMO5VGu HNd5hH7qeW20x0nYRfto5/15bfHl6+jJhXzIibzIjfzI8UnjFbYX243tx3Zk e6rbtjq9GKlUdS7b1zvXYKppTwz3mi787lmI0puIfiZZsHM/hBjdSQjTWFsf ozsRftrzEdZrNja/+S4uHNwNdZxCF0cdo2gm9vhJgalI1w7GDMMUzGiV8OCc MMYs+hGYZNUfRwKNsc7NFTl6PbDUuBtyDPsiyyBc+F2B8s5n+V58Xy/yMT/L sfyDYysRUh7lUj71eNA7U/S+7yKWSbs2vzlS2kl7abd6DT55RAsutu6HBadM yYvcyI8cyVOTb3X65yX1mYUXVnyKbK1OyK4bLs9kz7fvjYvazeQajN+a6WFu q2gsaNQHk1vHYnGtnljYKAybPDrhavPGuFyzCW43rY8jHRwwv2EEsmsEVYhV coTvn6nlh9l68fh2LvfGUmSWlqg7YpkyBlpSImLqiv9dHdtZgIUNPTHTNRXJ 3afgNYPRSO80EO+0HgNvp2WYahYu73zme35P7j4VMzukynIsr5lYP+WoBgYr 6XFP6kc9qW9OpZiFdtE+2kl7aTftJwfyIJdJgg85kdevghv5kSN5yrPuBV9y Jm9N/tXp2aW/NmZRzl2xsP4Ydi1HwkHvDVi2Gof2wR/ju73CF9+4DmfyM+U+ WD+vWoMzKxfhxNoCHN25Ab8eWIGjXy3HuKmz4drzQ7Rq+w7amb8Fe8dZcHRY AWv7T2Flx/NHnt4/55wuc4ePYOHeFR1saoirITp2cYehnxtaO78r73zme35n Pub/o7lgfxS/UW/qTzvsHGZJu2gf7aS9tFvazzNc1hRILuQj900TvMiN/MiR PMmVfMn5mZ3DUh2rPHVS+7MXr1/Flq834t+vDsbA+CePV1ISByImLgamXg5I kPFKAlp6usI3rB9e4fjEgHjlTPqUJPgF9UYbd2vYdXVGZEyYEqfIMyWT//AM STmOExMOR88OiI2OxALOX+ffliuNrVSMP27J1TlnLhRi7vJF8n5PPGue0fJA nCPHWMpk/ZRDeZT76DgiXnWWSrK0Z2hqirSPdtJe2k37yYE8yMU3tJ/g1EHy IjfyI8eUJxzfYnux3dh+bEe2p2b7VqfnncTPoxL+7irGuuEf4DPdELzbdSqC dGYjTmcCnDsehH+7HETpfKasqxf+eaTuFPQ0XILUmLk4fYzjKYo/87A4RS0D ZbewZfh7mNgwBDNN+mOG/uAK+3dpzgmb0DoRW33b40CXtljYujeWcZ8wI08s aSX8JOHv8M5nvuf3gyLfVl9XWa7KuWDcf0zIo1zKpx7UR+pVxaSTynEL7aS9 tJv2k4Pch0BwIR/njgcEr08kN/IjR/Isk/89Vy2jOr34SX1m4eHP8zCvRg/k 1grG3PrKmfZFjeriSs3GOONijCVN/DCtdTgWNu2NjAYh+KqTI643a4BLNZvK fN/aO2FOgxhlHyx1rFInCEvqhmKOVhDy7UJxTo5N8k9SnJz5qH0alO/Urfjy FWQ0S0JOnT5IbjcFfnWyEdR0BgbZTsHo/v/DDj8Heecz3/M78zE/y7G8tFE1 xvhwEKWKXiJRT+pLvak/7ZBjRKpxFtpJe2k37ScH8iAX8iGnJU39JDfyYz7y JFfyJWfy1uRfnZ5t+stiFrl25X3Ytx0De5234Kg/DOZN3kHYoCk4eWgDznCf 34LPcYpnjhRk4vjqfJzctRG/f70CS1dkwjdyPFqZvQMzi+GwdRgtYpU02NiP hrXd+yJmmAorW547MkY1N+spxjw4J8x6DFp7DIazYz242TaEh20zmHbqi9b2 k8W9n3zme35nPuZ/krlg96+Rspy10Neaegv9re0+kPbQLtpHO2kv7ab95EAe 5EI+p1ftVO1vnCv5kSN5kiv5kjN5/+k1LNWxyp9Oap9208GtiB8Y80Rnr2jG K3H9Y9Dayw6DkgaiW1AfGHu7C588ofz8kn6hfWHmYSvnPIVEBkl//v4+wPHy 3Hj1ee9Jcq3Lg3GLeozFpasbggfF4Mrt34W/c7fKcZLyq6wIt+/cwN3im8jb vV7e+cz3D41X5Bmad2X9lEN5Dx9bqaS75Bdfvi8z7aS9tJv2k4P6/BjyIadu gX0kN/IjxyeOVxJUZ7CI9mM7arZrdXoBkqotim9fwRSfeMzRD8E7TtMQ0WIq fMyXwbn9Xrl/b4TeZISKdyFmmYhwWIzxEcNRcmKrLMu/v1Ydp9xPar9jx5o1 +KRFL8w0jkG6wSCkGw54cB2LcSSm6URhbvcQ/NRHH7ltvJFnwL2LlfUrGar1 K3yW78V35pvTPVSWY/kH160MkPIol/Kph6ZeD8Uj/ULFNtpLu2k/OZAHucTq fApn173wNV+KCO2pkh85kie5anKuTv+sVH5W5LxtylmRwp9e1DQMJx3b4Gqt Rrhdpx62mXXCVBEPz9QNxLwGYTji5ohbzerjYq1mKGpQF19bOWNmowHClw8Q Pn1g+fyvLK0QzNfqhE1vjUPxXWW0r+xxz0hU9ae7KEJup1Ase6kX3rcfhpD6 8xCkNRX/th2Lgz3bA65a8s5nvud35mN+lmN5zfr+UKxKP+pLvak/7VDPD6N9 tJP20m7aTw7kQS7kM1MnUM7PJDfyI0fyJFfylWdGCt6a/KvTs09/ScxCv1n4 4bbtPoWDzhtwMngbJg2HYfiwhbhwcANOr8gTsco+4X+vwImVeTi/dzOOH1iB 18dMRRvHETBpJ+IUxw9hYz0OtpbTYO3wqahzhGqMYqTw+z+GjU268PvTxPN7 qrGFJxz/sRkOC+dJcHRuBVebWnC3rg9nj1fQxlL8HPcYIp/5nt+Zj/mffPxi hNTP2m6y0He61Jv6y7lbwh7aRfukncJe2k37yYE8yIV8yOlUwT6cEtzIjxzJ k1zJl5wt/+ya++pY5ZmkUtUfOE/9dg6eIX4YRN/7KeKV/vGxMPV2lmvrm3dx RmRcJP49eBCCIwMr+epJcl/fBNU6lqrGKLinlrLf8YAKcUuiXIefDF//nhg2 d4zUW5418rBYRRWvFIv45GbRVeTuWifvxX8Qr/BSn0lDOZQ3JLXymSjq/b+S VPo+ODaknN2i7GNMuzVjNnIhH3IiL3IjP3J80niFcthubD+2o2a7Vqfnn0pL lfkWp7/MxCT9vphjFIV32kxGiO5s2Hb5GiGtZonYZZLcxzjOPRNvOoxHpk8o Sn/8XCn/mH//VM+Dv3Z6Jz4zi8Z0A+7fJWKVVoOrnBM23SASUyxi8WNQK+R3 6ILclty32EtZv6IXKu/yWbznd+Zjfparai6YlEN5Qi7lUw9Nvf6Qk8pO2k37 yYE8yIV8glsJXp2+ltzIjxzJk1w1OVenf1ZSnxX51cglmKPliyU1Q5BtFYKL Otq4Uqsxbuo2xJfWrpjINVPakfjW1glFTerhYp3m8hz4w+bOSNdJQE6NAGVc pbZyjvsird6YbxKLHxYsFvUr6xLLSp7k5yLXhdGfuI19iSMxT8sfi0yjEWay AOFaafB3XoTNFl4o064h73zme35nPuZnOZZX6nl83+S+nrek/rSD9tAu2kc7 aS/tpv3kIHkILuRDTp9qx0huN3UbSY7kSa7kS877Be/qMyP/+vTsYxb6ze/D utUoOOi+BceW76Bti/8iLX05Lu/YgBPLRcxSsEXELdm4/NUW7NiWA//YsTAw HwUbEVPb2X4CW+PRsGs9Xvj442DxQKwwXMYBViIOsLaZKfJMkHHAk8UtPEeS c8u6w81GC84uxrD2Soal+YfiniSf+Z7fmY/5nyxOGSn1on7UU4mrNOsYJe2i fbRT2ivspv3kQB7kQj7kRF4nV2yQ/MiRPMmVfMnZUp4b+ZTxSnWs8sxSmer/ ioVP4Z4UhIiwoCffT5dr4QfEwsLXGRa9usI1oBcGCP/bRvjhbeVcKL/yuVCa azgeNq+qYhyQVEHOgJgY/O/9N7D1x+24ceuS0L1Y/C54xPiKuO7cu4XrRVeQ t3O9vN95xPwxZZ+w27Je1k85lEe5mmvtH9Tv4Tap1+7cnxPnJ7mQDzmRF7lZ Cn7xA+KeYn+2RNlubL9iOWGoembMi5SkH152D9sWrMC4pgHC94jAW4Zp6OCw S+7VG6Y7HRGOmXin0zikGQm/q7MXik5vkmXLnnQtbBlnwJdhYdwgTGkShnST KMwwGIx0o/6YVilmmWkQjo/bJGKLd3vs72CGhYa9sczIs0K8wme+5/et3i6Y IPLPMKg4VsN6Wb+UI+RRLuXfe4qOqLaX9pMDeZBLhOMiyamrzQZ0cNwl+ZEj eZKrsoat2u/6x6XysyKv4JBnT2Roif8+akXhC7POuN28Pq7UboKLTVsg3SMa E0yTccTCUc5tulCvOW7XqotvrOww03AAFmtxH7BALOb+XzUDMFsrCCscInDp B9V+DyVlTzX+VnpPiYEP5C3HXC0vLG8UiFdtP0ZIjRnwNF6FHPNgoI6WvPOZ 7/md+Zif5TTreWI2JYrOtIP20C7aRzulvcJu2k8O5EEu5HPE0knySveIkvzI kTzJlXzJmbzJvfrMyL8+PbuYZZQ8v9CO6zS41l7vLdjpDoOT0ZvYuXwVzm/5 AqeWbcfp/DxcPbgDiwty4egzAaYm4+BoPk767fbab8LBaDSs7R+1LmOkKi4Y AxubKbCy5XjL2MefI8Z8Nh/C1PIdONnXgrujMdq6fAw7mzFo2/5j+cz3/M58 jzcXTJn7ZWU3Tuoj9eK8NduH6aSs86GdtJd2035ykDwEF/K5emiH5HVq+ReS HzmSJ7mSLzmTt8XTrGGpjlWeeVL+9gO8OuF1OHdyxdDBqQ9dV/5wn7w/WnW0 Qp321nDwcpFnKXr39VHmPVXaA/jxLvU8qxTVPKsEpIpnjkfs+m4nrtz4Dd+o zo555HwwcRWX3sLVoqsyXuGdz4+MV1Tr9Fk/5VAe5abKOCJBNfcrRer3qDil qvls9/ccSJR8yIm8yK1VR+snOtdeXSfbi+3G9tNsz+r0gqQyZXVvRmwK0ujL tw5BokUWDDqfQYzdIrzR8WNMc0zBrMbBmNvVF1d/+UIp9hTrYNWx0faFWZjQ xB8zWot4xXCgiCWSHzg/Mt04EpO1Y7G8Vw98F2CIHJMeyhn2Rqp4Rdz5zPf8 znzMn155Lpiol/VLOUIe5VL+08YQarvJgTzIhXzIKcY+EwZdzkh+5Eie5HpP xbk6/dOS+qzI61jfy1+eZbioeRi+cbTFzZr1cbVOY5w318eHXkNw0NxJnv9+ oX5z3BLffrRuh3ntolWxShBy6oXKs93nvtQXu0d+IPeulxJUe+g9lXaqOZg3 j+xAVv1g5Gr1RZpZCgIaz0FEgzn4NsgBd7S05J3PfJ/WLlnmY36W06znafio 54fRHtpF+2gn7ZX7hgn7yYE8yIV8yIm8Puz+iuDXUnIkT3IlX3Imb3LXbIfq 9NelZxOzjJI+u4XNJ7DnWvuWb8GqyZvw8R6DE/s24MwXX+PUhn34fd92LJi+ GGbWE2DVYiScWo2Evc6bwmd/HQ6tP4S1w4TH8L9HVYgRrG0YI3CO2Ad/PB4i 19h8ALt204WcDnBwNoG1yQxYOY+Tdz7zPb8z3x/PtRou5drYTIa1iFWoz/3Y 6dE20E7aS7tpPzmQB7mQDzmR16kNX+HM9q8lR/IkV/IlZ/JW5D3J3s7Vscpf kUpUPsWKNflo7WSB/vEx5WcyPtY1kH/jH4BmrjbQtjSFV18v+X5ISoo8W/FJ Y58H5oglDERyymDERsVh7OyJ4mfsXbkmfs+P+1B855r4UXvn0XO7Sm/j6o3L yPtyvbyX/MF4DOtjvayfciiPcik/OUXEcglVr695srhF4cNn8tK2biP5kWPS wMevi+3E9mK7sf0027M6Pf9Ufqb9mT34zCwK01pFYYFeMAb6zEV0z4WYYZ+K uSYRSG8cgsldQ3DuF9Ueq0+5Z49a3q9nDkp56QYc+4hWxj4MYyrOC+NZj9wn zH4Afu7SDEucvJGnXzFe4TPf8zvzMX/FMyIjZL3KGE60lEe5lK+pzxPbobKf PMiFfMiJvMhtoO9cyXGaYZSUR75/Rl51ek5J9au7qKwYCzwHybMMF5pE4ncD HVyt1xjXazTCCd+W+K5jOxS9VBcXGzTHjZcbotDWAFmWgcjWur+mnmeXZLft i2O7j5RX/PRxQkX9xG8YZLj0R5ZWPyxr2Bev2I1BsNs8nPVrjVs1tOSdz3zP 78zH/Hcq1fPUapTe38eM9tFOeVaLei2+4EAe5EI+5ERe5HbCV19yJE9yJV9y Jm9yfxb6VafHS386ZmEcYD8Ktm0/kGvBnQzegWnD/+HtodNx4ZsvcHTjevz6 3S5M+2g+zFv8D3bN31DWjeu9JfM7mHwEG4fxTzFWMEKe1Whl+6mIF2aK+0Rx vauq52F6vge7NiLGaDkM5gb/EzqIGMlpvLzzme/5nfkeFq9YlMudqJL7qerM yieZm6bELLSb9ss19HrKPgXkQ07kRW7kR47kSa7ky/zkTe6PvYalOlb5y1Kp 6mfh7pPfoFs/b3Ty6aqs13iMOEOOFyQnwi88EDrdXJGUGC/PHFF/e/o45f6V zP3K+sch8b+v4udrv6jGru/h+PmfcPzcUfzhGIv4dvX6RRGvrJN3PCKvemyF 9bJ++ZdxIY9yKZ96JD/h/mmPYqfEdcmSm0639pLjK6p5c49Tnu3E9mK7sf00 27M6Pf+kxI6l2LE4CxNa+GOW8PEnm6bgfccRmG8chPRWwudvEYqPPeJx9Mx3 skzpnzwPgf95lIj/LYobjMnNIpFuwvlbyaqr0rr7lhGYYhWL/bFm2OVijUyD XsgzUp1vL+585nt+Zz7mr7zOXl035VAe5VL+n/3RrOZALuRDTuRFbu85jsRk kxTMMoqUXMmXnKtj9X9YUvWRW0WlmNN2qPDBA7HZvjuu6zTClTpNcblhA1xt WhM3uCdvw2a4Jnzx3211sNy6NzK1QpBTLwg5NYMxV6snVsZ8iJs/7VWqfWb7 xanmZJXdxt6ktzFfq49cr57RPABTu/THbg9nlNTSknc+8z2/Mx/zs9wz10Uk 2kl7aTftJwfyIBfyISfyIjfyI0fyJFfyJWfyJndV1dXpb0p/KmaR4xZj4GT2 iXI+SMt3YCHuS7JW4PzOrbhwaDvSxymxir3uMDjov63MGaPPbTpW+OxjHx5j PNalGuewTatinOPBcSBz6wmwbzkC9trvwMFwFpw4N0vc+cz3/F71uIXGuA7n ftk+5rjOIy4lZhkrOdipYhbJR/dtyYvcyI8cydNCxZecyZvcHyteqY5V/tKk mkGM23eLMPi/Q2Dt4YhY1dnrj+N3pyYNgK7wtXtHBGFIsnK+4rPw58vHEIQe UbGR2PjVeqlnSUmx1Lq4+Dr2/LhXPD96fhdK7+DSrSvI2fW5vPP5keMxJbdk vXeKr0s5ijxI+dTjcbk87kVe5NY7Ihi6XV2R+pjxEPVgO7G92G5sP832rE7P O5WpYoebWB4fh8+aRmGWcThG2byHtNYpytiETjA+ckjGd8dPyhLPwt9Wzwnb nT0PE5r2xYzWMZhuxL3CXkF6hbGRSMwU8cb41snY5OyG771bIatdT+QZqOIV cefzD+I9v483Tpb5K8wp4/mQol7WTzkTmvpLuc9qPYmaB/mQE3mRG/mNsn0P swVPciVfci5TL8irTv+MpPodfu/SVSxtHIF5DcKxx84NRbXq4lKD5rjcuBYu N2gg/32tpvC9LVtgpWVv4W+HIrd+iPDRgzC7bhAOjXgb5WMqT7Sm/o+Tev+s 3ZmbMLuGD3LqhmFxbT/MrheKtUa+QH0teecz3/M78zG/Zvlnlco0zoyh3bSf HMiDXMiHnMhLMhT8yJH/JlfyJWfyJnelqur/Zv7O9PQxy0hY2I2GlYnw+/Xe hE3TN+HZcQy+/2IbLu3fiXlTc2DOOU8iVnGUvriIVfTehmW7CbCy//AJxyUe rkOFdSQilrC0e79S3ffX2TjoDxexwdtwab0ALo5z5Z3PfF/1upARsj4Zo9jM eERM9DTXCIWD4EEu5KPELMMkN/K7tH+H5Emu5EvO5E3uf6hDdazytyT+TZ4/ VWcJX6Ozdxd09vP6wzEW9VntHQN80aaHB4YmK2e1P0tfnmvJoyMi8Fl2Oncy ET/7b8v18GWlim/+beFPOHvhNOQq44eNm5TdwcXbV5G9Yx0uifvD5o8pYyv3 ZH2sl6lMtf5eyhXyqQf1+X/snQVgVUfahtn9d+u0RYq7u7XQlm6pUKFKW9y9 uLS4xD0Q3EJICBIS3CFAiBNiENyhOMUtEL/vP++ce8JNSIBAgJsyb/fsMHJm vnlOknu+O5bTPQkedZEb+ZFj45+/kVy7P4S9PrbC58TnxeeWCjW2YlYy/o1K SLiJyY37yT1GXSsNhm21MZhTsqWcO2VfbSD27jkjy6Xm0nuWPifqzslwTK8v 3u+LtceMsjxzhedHdhO+hYnPUaYtphdqD78WzXD2y3fgW/1bLC3RFAuKt5Ih 4zJd5LNchn2MRT2sj/WyfrbD9tiuqR1PK50LOZEXuZGfneBInuRKvuRsbDhX 2lV69kpfq+TvDr9/NcG8Qh3xd6XiuPXK27ieX7xn538V198Qvsp/38Kt8oWw qmJzzMvXRr6be+X7AcsrNMOpuJ3GutJyvj9FDmy8ts4dvvk+x+JXWmHxa83h 9eqv2FGgEQwl8smQcaYzn+VY3vT+XLUpLTXdb2H/yYE8yIV8yIm8yI38JEfB k1zJl5zJm9yflY1KD9eT+SwWwkewRa3i41BfvGdXeOtPDBvqjcT9MVi8eAOq lBmN2oVHGn0VvmuPRY2qE1Gtjq3c4/fp3/czjlfIuVq1J6Gm3KdrfCa/gqGt 3F+rnvAN6hefgjq158uQcW3fLduM5eVZKtxPWfgptSbJ+p9uPCiLixwED3Ih H3IiL3IjP3IkT3IlX3Im7+oZbFW+yotUqvHv/PaDsWjXqQ3qNGmEjp3aP3Qs oZfI475gBT59H207tUNvEc/pXsgPHT/oJepv1w4jHUYiPvE6Ny9O90m0PbyS cfveDUQd5zyo1Oz3CUMibsRfw6LQjTKUs5Gz2xdM+Cusj/Wyfr1O2a5on3bQ HtpF+3Krr+RGfuRYoMn7gmsHyffhYyvt5XPi8+JzM32OSi9e+vhCXLg/Jhf5 DrNLd4Z1bVvMKNMRs8Xl8PaP2L10hSyTmpy77wtpxj0X1tvYwi3/r5hdrp3w LzpjVsl+meZztZP7D0+o0QPnP3gbAeJ3eXGRb7Co5G8yZJzpzJf7I5fKOD4j 6+PeYKJ+tsP2TNvPLel8di9ZAcf8P0p+M8p0gmVte8mVfMlZtq3mhOUZpRnf kw/6L4BnvqZYX+cHXH+vAG68JvyVd/+Da2+9K96xha9SsiCWVWyJef/XDkv+ TZ+lCTb2skbCAW3d0jP9nsb4vpF4+w68qveE779+hq/wSxbk+xUR73+MpLr5 ZMg405nPcixvev+zkN5vciAPcpF8BCfyIjfyI0fylFwFX3Imb3KX9Sh/5YUo Zz6LNmZRh3uDldDWz1ctPQaBqwMRExCCulzX8u5wkTda5vFs9jo13MS7uU2u +yoZ39OFj1HLTp4zWavWdBG31cZI5Dkx9qhdaYLwCYRdBSxQt6avDBlnerX0 OVbamEotfS+yWk96fmROfBYbyUdyErzIjfzIkTzJlXy1PAvJPdt1P8pXef4S aBPEO/lYR0t8/u3n+KTZ59mek8jv/gf+3hPVm32Guj98Kf/9sPGAHPsqPEuy Y0f0GDEAJ29w/CTtgTPptfGQZOw6sRtXb1+TZeS4i4nfoo3DJOHW7etYFLxJ howbHvBVEuT9rIf1sd7M4zWyfVGG9tAu2pejfQkeOcaiMa3745eSa3ZM9XMz +Xz4nPi8+NzUNBjzUvqZ9pZ2mPTGL3CpOQIuVf/EnBJt4VKgOXZPGCGe2TXj +3XuPjz5PbP4W3nu9EG4VW6H2cW18+dnSv+iq3HdvdH3KCauWu1wvE1RRDeo hIWVv8fiwr/KkHGmM1+W032cUvrZLv2M59q3le2wPbkPa677zQbjPLdrkhv5 SY5Vh8Kl1gjBt7nkfP+se6W8IN23DJ+/GVP+Ld7/qzVGwhtv4Gr+13Htndfl eMAN8X69pEobeL/CvcC+hUfJrjjouRj8G03l9vyvB6W9T6YhHsHNfpV+id+b zbHwXz9heaPvcan+K1jW6AcZZzrzWY7ljTPUnq116f1PllzIh5zIi9zIjxzJ k1zJl5zJm9wp5eO/OD2+z8L3ZK7fmIR6Ja1Q+c0/0KbFTJyKjUOzryeiyltD Rbq23qJGKeE/1ByvrRHPlXlUD7u0NmrI8ZaJwudwRw2OtRjPc6xVyV7YNAw1 i7mgbr1wGTLOdP3cFH1MpVptrqu3eLK9g3N8aXsXkBN5kRv5kSN5kiv5kjN5 k7vGP5Ndyld5IdLPmN4cGYK27VqhzmcNsxxj4Z67PAOxZYfWKPRpA/H+3Fme r56bvkqPzp3QuX9P7Dq9T7Mt5cFzIfX5W5dvXsDuE3HQxlhS5biI7rOk+yt3 b2Jh8EYZPuCv8AwXQ6q8n/Wwvuzml6UZ98ikXbSPduamz0KO5EmuLdu3lpwz 73GcPrYing+fE5+X6fNTMgPpZ9rfvYZpX3bC9KKdYSH+prmX6oyJBb7Hnml/ ilzx8/TM1ltoa2cMog2/Dp0xpUAbzCrTRjuDvmQf497G7eReX+4lWsGlSi+s +aAJrjb8LxZW/R4LC7eUIeNMZz7LaXuDtZP3sx5Zn6iX9bMdtvfs1pAYjLwS JL+JBb4TPLtIrtOLdpKcyVsrqj4r8oL0swqjnLfIM9fPNqiIW/99E9cKvCr3 4L1Z8F0sq9cC81/vAK98P2NVnda4eNi4F1yKgS8Gz8fOFG3fjMiJK+DBfbne bIFFr32LOWU743iZwjJknOnMZzn5HdvzOjtecJA8hMiHnMiL3MiPHMmTXMmX nMmb3OXt6szIF6rH9lkYr2wr51NVKDACPvOCMWToEpR94w95Hrvcs7icI6rV GW/0U561r5L54rwpO2HnLNSqNQ1V5d5eE1Cn6Bjxzj8RVetEypBxplerbSH8 m6nivtlyjOaZjqlk47PIS/CqI/cOGyE5kie5ki85kze5Z/U8lK/yYiR/WwTn hNQUjHGyxGfffJ7lOhZtL94eKN30I3z+6w/on4vrVtJ9lT7dEHVY2+slK18l w7iI8DdijsQi/t5VbQ6XQVtvbJp/J5H+ir8MtTMmjfeLcpqvkizvZz2m+Vld us9C+2hnbvos5Eien//6PUp/+ZHk3MOErem6FT4fPic+L+3cNfU7Yi7Sv688 HrsS04t8C9ua1phccZB4r/8aO2bznJxEyB87PLv3Lbm/lmjk+BZvuJX4CbNL tccsORbCvY07yTES7gdMf2NS4c4I+qohbnz4b6z5tAnm528rQ8aZzvxZZbXy 2h7GnbR6WJ+ol/WzHbb3tPubPaJXRm6JguNwyXOS4Gon+E4v0kzylqXU98V5 Qtp3LML/bD9cnkt6rVgRXM//X9x4jfuCvY11H30Hz/+2x/x8jRE4xhFJKffk fQZ5/uLz+3tnMP48nd7iA598n2Hxa62w4K3v4fPqL7hQ9l0ZMs505rOc6X3P yUojF0hO5EVu5EeO5Emu5EvO5E3u8nsT9V3XC9cjfRbjmSb1KzuiyptD0LzZ TEydFoRKhUahHudXCR+gRkUX1KzjhNxZV/9kYy1VOdYi/ZRJ4t+zULfOJNQq PhINSjijXNlVMmS8bp2JovwsWa6GXKfyqLNUnq2fRW7kR47kSa7kS87kTe4Z zopRvsoLlz4fdvuBaLTp1Bq1mzREp84d8LvxzHX5vtyrB75q1RzFv2iEvj27 5dqaFa4H6dahAzoP6IWoI9HSjtRHnUVv3H/4zOWTOHjmANL3NpZ+i0HbC8yQ iHvCT/EJ3ipDbb19osw3GJLT6+D9rOdxzqCUdgnRTtpLu3NrPQt59hX+T/Ev GuKrlj9L3rq/yOfA58HnwufD52T63JTMQdrnDtLiETR2LOxK9IKT+Ds3+Z1v 4T/bChy7S3vGvopuh/Y39Dp82nbDlILCzyjLNfLdMcv0/Mgy7TDjvXaY/Gtn XK7zCnZ8UANTyvWSIeNMZz7L6edD8n5Zj6iP9bJ+tvM85r9oc0MZpgie1pKr s+BrX6InAgVvctfWz6jPDfOW/nyuY8MX3yGgWBPcK/oKrrz+Km4XyI+g/30C z//7BQvLt8XhBb6inPY399nP/8rKVON46a1bmFemBxb/+2csfP1nrMj/HS70 LipDxpnOfJYzve+5mprO567kRn7kSJ7kSr7kTN7kTv7GO5+7rUoZ9VCfxbiX cb3KbqhRYDiGWASg8YeTUePtIahbwgI1q7mhah27Z7tWJUfXWNSqxbPrPVGz wmw0KDISdd4Q/laRUSLO9fkiXeRXfYo9inP1EtzIjxzJk1zJl5xrcF2Q4J6+ p7HyVcxCGndtr7BZi73Q+PPGaPJDU3kmu76Wold37ayQn9u2EO/VPZ7+nBXx Dt5bvJ93atsWvccMxu7zh6QtqSmPONfR5JJn/x6OknscG+iLpN2VIb/r5RhK gvBTfIO2yJBxmW5Sjvfx/pSHjOU86LNo3/XRXtot7ec4S4+nmxtHnuRKvu81 +SD9vBfy53Pg8+BzmWWyJ5j6LTE/pYinM/+XdrAqbw3n99pj2WQ3+by08YHn 88T0cYajWxfBrXhz4xgLz3UcYDw/0rgepWRbTKzSHX9XfRPHP3kPnjU7y5Bx pjNfX+/C++T9PIeSYyuiXtZv2t6zl0FyZGvkSr7WgrO34J0CNbaSJ6T7AOJv 6fzmv2N/laq4+cr/Ib7I69j1cV3MeqUF1tRugxuHQ7XiqXgh7/9GY+X/i08S rP++HRbl45r7n+D7zs9YM+pDGTLOdOaznOl9z99cg/HvDCQ/ciRPciVfciZv ck8y7rWp5lCah7L1WbiuQ7wvVy5ujy8+m4XvWy9BjTcGo1YZe9TgOfby3MXn se7j8S+5DqWuHepVmot6hSei2tuuMqwr4kzP9b2/nuqykvzIkTwlV8GXnMmb 3Mmfz0H5KuYjgzbxHdfuXkfv0QNR7cPa6Nqtk/zen2vAG/30LSp/879cWWMv 51F17YI27drAZpI1zt48C3nmifAbOMZheiH1/nkqcowESSYX8NfFYzh16bix FxwXTzVeQHJaEnxDA2SoSc/Txs95H+/XZFKvcSxGO3cy4QGbUuXcMIO0m/az H+zP084P09fek3Ojn74R/+4l+fM58HnwufD5aFP41O+JOUnfx/fG2Qg41xuO 0cUGwMdujlwdzPPenu/zMh1j6YophdvJMZGZJXsKv6On8D9aiKsVZhZthdl1 W+Nw55K4Uvp1eLbvIsNDnUrKdObLcqK8vI/3c2xF1Md6n9/YiknPDNr5eeRK vqOLDYST4H3jzA5jvhpzNGvpZ0XeTcP0L0fiUoE3kFjkP9jdoD5mv/YbYsZY IjX1tlY0Jff3pMip9DUsUU4r4cFzI/P/iPn5W8D+hwEyZJzpzH+ua1eylcHI DZIjeZIr+ZIzeZM7+RuLK5mJsvZZrOU7dc3StmjSfBlqlrBE3bKOqPHC1qo8 ng/A8ZOadVxRu5i43nIUoYuw2dU4rmI+vtX9S2NJruRLzk1+WYZapW2lvXwO ylcxL+nzi46eP4VPf2qKT7/9HAP79kb7Tu3wzqcN0KGztg4/81wwrg2XV7es L61cN/Tu1R19xP1d23dAz3494RuwXPyF1/Z74fqR+75Eism/E+V5wTzPMSn5 DuITbiA+/hrib13BjZsXhM9xFAG7Q3Di2l84LPyPg+cO4/DxfThyKA5xB3Zh /vp1MmSc6TJflGN53sf7WQ/rk/WK+tmOPI/ScE9rP4M9xn8bNB+I9rMfPfv2 QNcOHWT/ess5Yvfn0mV5GZllnhNGvuRM3uRO/nwOfB58LqbPScl8lGo8r3G7 7xL0KTYC3qOXyJ+U5++raNLXk5zY5IUJhZrBo1Q3uJfpjelF+8K9bF/MLNMP s4r3gHPFAVjb6EvcLfIqTn1dSoZrRJzpzGc5lpf3iftZD+tjvabtPE/pPgv5 knOf4iMkd/JXZ92buYy/C/EX7yGg0Q9IKZUPO0tVg3fVFjgRsQfp5z+ayd84 fc/f/Su9MP/fH8PvrR+x6K3vMPudljJknOnMNy3/onWfn0FyJV9yJm9yJ38t W71zmZMy+yxFyg1D/ZqOaPDhXNStNws1yjuhel1HvLi1Ko///l+9tj1qlRPv /iWdZMi4efpXptc4yZec69abKbmTP5+D8lXMT/q78NrwtSjbsBoG9OyGqs0+ w/s/folBv/dKX0/BsQTOg+IZin169URfcfUTV/9evdBflOvX+3f06/M7+vTp iT69e6Bnt85o36Y1WnZqg9ETrRFzfBeSEm/i2vVzOHf9JP4S19Erx3FU+BLH zonr2EEcOrgLe47uRPSpXdhxejciz+zGsUtncOzMCRw7cghHDh/A4bPHEbI/ BhHHd+LkjTM4K/yQKyK8feuy8EMuwzdkkwwZv2LMZ7mI47Hivmh5P+thfbJe UT/bYXtsl+3TDtpDu2gf7aS9tJv2sx8xov3Rk6xl/9hP9pf9Zv/JgTzIhXz6 GXmRG/mRI3nq64XI+X3hn5A7+fM58HmYPh8l85L21ysZU3tYY/yno+S+ptoe vy9uLouc055yByv622DKKy0wo3RP6XfMLj0I7uX6Ym65XphcrB+C63yE2xXz 4dS7xWQYXPcjmc58lmN53sf7WQ/rY73anPkX0z/JlZ/tgvP4JqMwracV5H7k L8QapceVfkbh5RAf7K1ZFHHlymNRr+m4q5+pkmpma5CMf2/v7QnD/PytsPB1 4a/kb4albzWVIeNMZ75pefOQIX2fb/Jd1GuG5E3u5C9LmIl/pXRfpj5LH+fF KFVtGqo3Xou61dxQu4EdqtfhWgpzHKPIdNW2RK2aE1CtuocWPvRMTDO5BFfy JWfyrv7JWsmfz0H5KuYp/TtK60WTUbxRdZT54iP06tFZrqnoLq4uXTuhY6cO 6NC+HVq3/hXNW/2IZq2+R9OW3+GzX7/Bpz9/gyZff45PP2mMRg3ro+qHtVHj +0/QbExnTAlchOPXz+LM2dM4cnA/Dh87hEPCZzh06SSOXD2FS/FXEZ9wD/F3 43E3XlwJCUhITkJSSgpSDVl/d5qYnIwDpw5C+5xLSb+SU+Lht91fhqbpLMfy iclJWdbHdtge22X7tIP20C7aRztpL+2m/ewH+8N+sX/sJ/vLfrP/5CB5CC7k Q07kRW7kR47kSa7k20tenSV38udzMH0uSuYl/bvM63vDMK1rHyQd2qrtQfeC z/HU7fr7wgG4VWuN2SVaY1aZzphZoo82z6tMK0wt1B6rOn2BKx+8gjMFi8uQ 8anyXHvjfDBRnvfxftbD+kzrf1EyGNepkfe0bn0kf3OwSyl76e/HVzbZY++n /0GMsyP0+bvmvF8VPyn8GnMNy09YnP97cX0jQ8aZnvUniXnoPtdUyZvcyZ9S /op5Ks34XRdXFY+eHYr6X8xB2erDUaT0MFSoMBZVa1iiZh1r1KxrrZ0nYpa+ AP0qa9TgfgDyzBXzG1shN/IjR/IkV/IlZ/Ju8IWH5J8mz81Qvoo5Su6Sa/Tv m9kNQOWmH+GDZh+h7Bf1ULZxLVT6pC7qNK6Phg3roXGjD9C4SWN89NWn+Pib z9D42yb4RFxfNG+KVu1aoO+YwXBfOhd7zx0Xf9Of/v1N29/r/iXHG4Sh+08d xtVbF+TeX2lyr7BEJCbdhl+4vwwZZzrzWY7lYTCuW89U59OK/WR/2W/2nxzI g1zIh5zIi9zIjxzJk1zJt+wXdSVvcv/OdoB8DtrzUL8r5ih9zcTtw1uQfGKL Mc08npU2HpeGrc5WGP/WL3Dnmfcl+8szVLjn1+yibeD0ZW+crFYAl4oUlCHj TJd7grGcKM/7eD/rkfP0zcQn0DmTO/lraeZhm1IWMj6bpIMBuLnXX0vj3+AX 7NtnL+MYqeEuYnqNg2e+H+GX/wcsfvsbGTLOdOYbzHh/OsnX+DtL7uRvzHiB Vik9TPqaYupW/G2sCo/FpDnb0KzbZNRoaIkSlYajRJmRqFR5nHzPrqX7L2bn u5iXn0I+5FTL6J+QHzmSJ7mSLzmv2h4ruWsPw3w+05WykfHx3LhzC9GndmP5 jm1YvnI5Jnq7YfQMOwyZYIU/HcZhqJ24XGwwdoYTJnlPxIqVvvDfFYYLt/7m CYwZqkzL5Bs8cOXw773+M3Tp5hXsOckz6o1nPmbhr+hnTbIcy5ve//hIHm5/ Zv+b/ScH8iAX8iEn8iI38iNH8iRX8iVn8iZ30+eglDdkTt/vyzEI8R4V/1cs pv+vLaa/1x6zS/P8yN7a3sYlRVq5jjhf+11cKFJIhozLvcHk+ZC9ZXnex/tZ j/Sdzej90px4K+VMeeEVIM14vkmM3xrhn3wG3/zN4SP8FYaMM920nDkrL/BW ui/pAWd6ZsnireLE2dPw3BiG0Q5L8PFvzqhR3wpFyw9DqdIjUbkqz2+0Qi3x Tl6jLsde8sDcsWfqn1hJDuRBLuRDTuRFbuRHjuRJrsnI+Hts4jYq5VFxlfw9 pOJeajLu8jKk8DS8LJ8rx6Oln/KMbNF9jtijcbh775q2Fj4Lf4XpzGc50/ty 3R4Y56BmMb+BeeREXuRGfuSY/EwsUXquMqSZ5Xf7+n7De/2XybXy7mU7wZ1z vEp3xIxibTGnbmsc71gMF18vKEPGmc58lmN53sf7TeszJ0nuZsheKRsZzHlM JaN0f/jO/nD4vtkcC976Dj7vfi1DxpluWs7cJbmr35U8Jb6rpIqfr5SUB5/b 3dQk7P/rNGYsDcYQKz/U/9YBFWuMQpGyw1Cu/BhUrjYONcQ7e6162tyxPLGO 5Gku4xwv9pf9Zv/JgTzIhXzIibzIjfwyi5xTjXNvlPKONP+e4wZ8fqnaGoq0 bBxO43A439P1Z/08nrb+M3Xh+mUcPst1LKlyL+IM/orcbz5V5rOc6X3P1Dbc /1sj/ZfspgxoTo7kS85phufHT+mfLoNxn9V4+A51wpT8P8O9XC/MKtkLs4u1 xIRa3bG21aeIf/NVGTLOdOazHMvzPt6fZgZ7zCopPVcZf9y5U6R3g65Y8N+v 4FOoqQwZT8xUTknpWUp/p0jh98BZ7OdyO+EetsTsxJT5QWjReyrqf+aIMlVH Gte+jMkja19yMn6S1RqUMbK/7Df7Tw7kQS7kk1nkSJ7qneufK0MW1wuzxbin xp4T+5CczPGU5EzjK8kynfly740X6DebEzell0MG4/miVy/uxoTqLTCrWCfM KNUfc0q1gWu5nlhR7WvcK/ofGTLOdOazHMvzPgPyznfISkq5J23/bAPuIaLX WHj+6yssKdZUhowz3WBu+5opvTTiq0ya0X/JvB8l14nfunsPy8NiMHF2AL7u Mhk1PrBEiYp5Ze1L9j5KlmtQRL/YP/aT/WW/2f+0TGunDUb/RFuf8DyflpLS /bGS4xf+wl9/8/zINCQk3pL+CkPGmc580/JKSi+L0uQckFTsmGIJ1yI/Y07p PphduhsmFemAkE8b4k6Dt2XIONPdRT7LsTzvS1NzSJReUunnQO7w2oY5//oc y9/7SoaMm+YrKb1opc8d0+dzmCgJKTh65jQ81oVihK0fPmzuhOr1LFGEa1/K ZLX25cX7Jrp/8sAaFGEv7ab97Af7w36xf0mZ1qCQQ0qqmuOlZF66l5SImCNc E5yIJDm+skmGjDOd+UpKL6e0NVX8b+FAF0x94xd4lOuHaYU6Ymnbr3Dui6Iy ZJzpU99oLsvJO17gWStKSi9a+r6/lzbOhe+/P4LvO81kyLhpvpKSOcl0PnpW a1/iU5Kw5+QpTPULwiBLX9T9ygEVqo9CkTLDUD597Yu15ic8x7lj+hwv6TeJ 9mkH7aFdtI920l7aTfvZj8wyXYOiPrmUzE2633zwzFFcvnFO7gfmG7ZRhowz 3bScktLLJgPPMBIfW9cv7obbx10x871+mF20CyZ81w17Pq4lQ3cRZzrzWY7l DdmcfaSk9FLI+JmReCsenjW6YMl/PpIh46b5SkrmrMdZ+7IpKhZT5gWiea+p qP+pA0pXHYniZUeiUqWxmeaO5Z7/Iv2T2lYZ53iJ9tgu26cdtId20T61BkXp nyKe67jn5B6kpt6Fb+hGGTIen8XPuJLSyyZ9f689a5fCreBPmFN6ANwq90Bc 6ZoylHGRvnud+e4HpqT0fKW9A6XiHgJ+aQ7vfJ/KkHGDMV9JKa/pYWtfUsV/ N+Pvwi84GuOc/NCkrQtqvm+FYhWHoSTnjlUZh6o1LZ9432TTfYZZD+tjvayf 7bA9tsv2aUeqWoOi9A+TNnZiwK4Te3DpxjmsigqUIePAi11nr6RkHjIYfZBb WG5lB9dX+8C7UkecaldVhowznflaOfU7o6SkrVFJQ9SUFZiUr74M5dmpau2K 0j9ED5s7ds+QhCOnz8B9dQiG2fqh4Y+O2tqXcsNQttwYuaakhr72JYu5Y3IN ij7Hy7gGhffxftbD+lgv62c7bC+z1D7DSv8k6T/HV25dQ8zRWKzfGSJDxk3z lZReZslzJMWvwr2T0fBq3ALuZXoh3PMzGTLOdHlOVh45I0NJ6VnLYBxnPL51 ORbkqyhD03QlpX+S9LMqU7OZOxafnIg9f53GlEXb0GHAdNT/yhHlqo3U1r5U 0Na+1Kxtjdr1rGUo16BU0NagsBzL8z7ez3pYX2alyTMe0tSZjUr/WOk+SeTh nZizyU+GpulKSkr8LNC+Qzt9ahccawyCrdUYGTJumq+kpIT0NSpJV6/Bs9FA GZqmKyn9k2U6d+xB/yUVdxISsG5HLCbPDcSPPaeg3v8cUKrKSBQuNVSGjDOd +SzH8sg0xytNzfFSesmk+yWXrl3BDK+ZMjRNV1JS0pSWps1x2TndFT0+GixD OcdFjasoKWWU7q/cvY1NY76UoWm6ktLLJFP/JfPgRwrPfYm/B5/AaLjNDpIh 4ymZ/BN9n2Hlnyi97KJ/cvDIAeWnKCllK/1zIhHHohbKUIur3xklpYwy/k4k 3wM2T9RC03QlpZdYD1v7Yiq1BkVJSUlJ6Umlf3SojxAlJSUlpadR+rkvqZr/ kqr2GVZSeqTUmdxKSo8jg3EOmPpEUVJ6pNT5kEpKSkpKSkpKSkpKSkpKSkpK SkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpKSkpK SkpKSkpKSkpKSkpKSkpKeUxpqWqPViUlJSWl3JPa+1tJ6XGl9v1WUnqU1Lle Sko5kfpFUVJ6lPSTvNSJXkpKSkpKTyv9/Pq4LVszxJWUlJSUlJ5E+ufI7it7 MsSVlJSykgFJKQlQ34UpKWWttDRtrH73ziNoVM1OhqbpSkpKGcXvihMMieo7 YyWlbKTPAdvz93F8MXKkDE3TlZSUdGmfI8mJd7DVt48MTdOVlJTEb4PRJ7l8 4ig6tvNE3Rob0bGtp4yb5ispKVHGz5U08blytoMMTdOVlJQ4jpImJxbfunUU fX264XWHBTJknOkG5bMoKZlI91duY5tPBxmapispvezi2HxqqgFpqYmwc1yK WQM3oNUXy2XIONOZr8bwlZR0ab8LCcnXsCv2UxmapispvewyGEcdU8Q1ZYsD 2nt8gKJeK2TIeAq03xY1NqmkpOv++MqWJV3U+IqSUialyr3ADHBxWwf7PlsQ ah+CJh/4ypBxpjM/Ve0ZpqQkZTCkyvDYDR9sDi0oQ9N0JaWXXamGNPGZcRde 0R74zqshWs2rgQoeK2TIONOZn6rGWJSUjDLxV/w6K39FSclEaWna78GOXfsx sudS7HTdjvUW29C0kZ8MGWc6803LKym9zDIYUuQnyJmz0xC67VUZGozpSkov u3S//e8bR/DH/C/R1qskWnnVRr15q2TIONOZb1peSenllvJXlJSyklxHbzBg d9whdO/qh2C7UIQ6hmCDZaD0VxgyznTmsxzLq/X3Si+3jHPBDPcQuL8ZdgWV kyHjpvlKSi+j9HX0x26cRJ91/dFhYXW0mVsKLRfWxvuLVsmQcaYzn+VM71NS enml/BUlpczS16IkJ99B/9+9sGpcOMKdghHsEJzBX2Gc6cxnOZY3vV9J6eWT fkBRMuJ2vY+okCoyZDxDvpLSSya5FkX8L+neOUxY3REtPCugjWdZtBVXm8W1 0chntQxlXFzMn7C6kyyv3ap+d5ReZil/RUnJVHJ9fZr4ZEhLgs34dfAc5o8o l1AE2AVnOb7CdObPFeVYnvfJ+5XPovQSygDte+CL9yIQtaMKYsPrICqiioyb 5ispvUyir8ExkiRxrTu6Fv2WfIRWnmXQdl5FtJ5bBp396qCx72oR1pZxpjO/ 35KPZXnex/uVz6L08kr5K0pKptLX10+fvBJjum9CjEuY8EmCEGiftb/CdOaz 3Jgem+R9av290ssqg3Ec5ezFaYgILYi4yE9kePbvaRnylZReJqWlaWtQwg8t RptFDdDSqzTaelVAG3G1Ev7J78vq4rMla2TIONOZz3Isz/tM61FSevmk/BUl JV36evmouP0Y1nMRol3Csc0+CEHCJ3mYv8J8lmN53sf7TetTUno5xJ/3NCSL //Yc74eY0FKIjfxQhowzHUiD+nxRepmUZhxrP3rlJObuGIx280oJX6Si8EnK S5+E4yh9VtfD535rZCjHXaQvU16WY3nex/tN61NSermk/BWl5y85V8rM/uam GcdDjh05iU6d/BBgG44Qh+B0f+RR/gpDlud9vJ/1mNZrNjKouWpKz0oG4/8n IzKuDmLDKyF2x/syZNwAtYZF6VnK/H6uNN/CgJOX92OUfze09SmL1p7lpS+i XRXQel4ZDNxQD00Wr5Yh422M/govlud9vJ/1yFmVZvk33BxtUspK3Bco780t /Gf4K3JuqNqXSekJxT/9/OlJNSTC0n4tlo7YhgiXEGyz03yRB/0V3wf8FTnG IsrzPt7PelhfGszONVPKY9LOuTb/HyJ9bcr5+FhERVTFzogq4vpAhowz3bSc eUudL54XZV7fxfB7Oe1nKGj3eAxZXgmtjfO80n0R8e92wj8Z6V8fnwh/hSHj rU3KsDzjvJ/1aFWb198E8+Ku9M/UP8NfUcob0v+mXT5yEikJ94zf9b/gdwKD ttbEkHQXNq7rMGXABkQb19cH2Wftr3z1wdIs/ZUguZYlWN7Pelgf65VrWV7w 33PJWdhA7peNYz/qMyavybyfl36+yvHLkxEeXgi7dtTEroj3Zcg4003Lma/M m7NSVjIg6fY57V8v+jPFKJ71yJOIvOK8YR/yLdrML4M2nhVMxla0sZMOC8vC YksDNF60WoaMZxyDKa/dJ+5nPV5x82W95nKWpM5b469+d8xV+sd98j0DtoRt w00kcAAwD42z5G1/RXIWvMmd/PkcZHreMP+lU2qqtlZwld9q+Mz3TE9/kc8r JUWzacWqEIzotBKx4yOwzS4ogw8S5BCEQHGFOgZjg1UQPvncU4aMM535QRnG WYJkPayP9Zq28yJkytdn/lzJn9Kfh5K5Sjw48YhO/r1XvJ/c1VLM+Ow47ZxI A86fnYSokPewU/gpuyMbyZBxpstPRzP2V3S+5E3ukFH1gWLOMsh3rjSsWjEb AVvCZNqLnm+hr4uP3jcf9hsao/uyMmg1l2MrGf2QVnPLo7NfOVhu1fwVhowz 3bRcW1m2gqyH9bFe03ZelHTO5E7+fA4GtW7TLCWn4Ys/aMnio8RrSV8En7GR 6WnP8+8xbUjV9vVOv4CM8cxXml5eCzP4Kybp98tlc2VqJ92O5ySdM7mTP58D n4fyV8xT+vcwFy7GYGCXQQgNiMG921eMec/fHv1vbXTcIQztuwQ7nEOEvxGI IDuGoQgWYYhtGEJswhFsG44I2wissd6CJt8OkSHjQVznIvJZjuWD7EKN9weK +kJlvazftL3nKZ0rOZM3uV+4GG3MM4/v55SyE/fVThM/P7HYccIGKWlXtVSz fN/XftBSDPcQvf8TxIZVQOz2yti9o6EMGWd6ihmfG6lzTTFclbzJ3ZBmXvNu lB6UHCcWz+nuvRQMGmWNgxePyPUdL2qNh36244Frp7B45zCM3VQRLb0e9FXa ziuPlsIv6bOsHGy2NcBHC1fLkHGmMz+zz8J6WB/rZf2m7T3/fmqMyZvcyZ/P QY3bm6/0sZRE3ML8LfVw9tBpcDZ8rr8L6D4Bv0tISZPXQ8vmQPRTti7uZDK+ kgObsssy2mgw9XlyURrfNMH7jORO/ppJ6nfFfGUc/0q+Au9BMzHj136I3hqI 03/xHSZV+/l+Tn/r9HXw544eRecOi7DJMgJh9tsRYLcdQU5bEeToj82uAdg4 eSU2TPPDhqk+WDd1FXznzMX3v7aDn8dcGd84dZHI88Omyatk+SDHzfJ+1hNm Hy7rZf1sx7TdZy2D/p2D4Eq+5Eze5E7+xlLPxRalJ5Fx7BvnERczF4H+AfA/ 2BjX4gON2Wnmsw6E8zrTUuW7fXLqNcRG1kRMZFnsjnsfh+K+lSHjTGc+y7G8 uXyxJDkaP6/J1/9AY8F7m+RO/nopJfOV/nd1xebNsJk0Rf77RYwf62vNLl07 ANuNnWG5rSq6+HIPsPJZ+isthF8yeHVF2G97Hx8uWi1Dxltk46+wHtbHelk/ 23lRa610vjYTp0julNntL6P0gDgmx6GF4Eh3rFjXHdp09Vz4XTHg4X6JUMrV BNxcex4p1xKReisJaXdT029OvZmE1NvJ969bWvze3ptI/jtB/DtJpiUnxWPT 6p4y1MokyXyWM70v/RL16n+/2R7z2b60Q9jz0C6xP7nwp598yZm8yT3V8OLH RpUeT4nxwI7VEXD9+HeE2LggcF449oTsQYo2+eKZjyfzXV56u4YEWNuswuLh AQiftAWbpvhh65SFWDvHAwEufghw9sMa92XYMNcPq5euRPSq2QhfbI120/pg +2IbRIn4KpHO/DXuy7V7XP3k/VsnL4D/FF9ZL+tnO2wvDc/eJ9P5keeekL2S Lzm7fNxbcid/JXOX0bcX7/che3/BpuX7sS5gkvh3VZy6ODXdU3kh88OM3yto 30Vl/Hw6cmMB9sU0xN4tX+H0kk8xe3UHGTLO9CM3F2SqS/tO675//Xyl82Mv yJV8yXnTiv2SuyH1ql7y+RunlCOliffnZPGcRlhNxuGjZ7S05zg3Sf+uNCEt BbP8f8fMoPoYuqEyWno+OLai+x8txDV0Y0XYBTTAR7MXypDxFl4P+jfpYyyi PtbL+tkO2zNt/3lI50rO5E3uaWp+cd6QfHRpuH07FZ7ejXHkbqhMTnvSz5Is /JTUG4nSJzjVfzvOjIrCeYedOPzzJsQU9ET0q3MRW3Q+dhaej90VfXC411Ic aLoasYW8sbPEAuwsNj/DFfO2F2Lf0/JiC3rjwA8rEWjfQ4aMy3SRz3KZ75V5 ol7Wz3bYHttl+7SD9tAu2kc7aa/0pYT9Gbr4FH6LzpWcyZvc5SeO+kjJE7on /tZtXnsCkWOsMaFBT/y9aA5WTo1DxJwg3LyjfZ/5zL4ukuvrxc9LQiLsXDfA 4U9fhLkvwkbhX2xyXQ1/p1AEuIXAf+ou7Jq/AftmrMYV7xm45eqKpPHOuDhl AJq0XSxDxpnOfJZjed4n7xf1bHJdg02i3jD3+XD8w1e2h8RErf1n5LPo3MiR PMmVfMmZvMn9nppfnAekj6/EI/RYffivnY8Ab/EOHTwKW2LewcFDHXD+7j5j 0Wf/nabmn6Q90JbcVy8+Hmd2H8cpv82InNEfF+yK4uK4stj/ZwE0GPCRDBln euSMATjlu1mW530PWC79l+c0p8TYF3IkT3Il34D5+yVvcid/Y+Fnb4/SU0l/ hz54+BTGiXfoJKQ813dozstKSb0L752esAj4HI5BVdBxEc+vf9DvSL/mlYfF 1sqw96+NbkMHyZDxNvOyv4f1sV7Wz3bYHtt9nvPCyJV8yZm8ZZr6XMkzSjPO Z9l7fjPWRX+Ju4lpfKg5qySTn8KxiguucTj800bEFBa+Q/EF2JFvJiLyTZfX jnyzEP2aB6LfmivCOYgU/kJ4cSeEveaGyHxzZF7Uq3NMLi0e/YYI9bxXPMV9 UxHb/HsZMi7TWe8bHhnu0y/Wy/rZDttju2xfs8ND2nXfxpnSbtp/+KdNsj+m YzBP5LcIruRLzuQtl91D+fZ5RWniL9229WE4Pd8X7p/3QXDHIbi8eCHWuMZg 8+RInD7I/auSZNncfW0xIDlF+y5q7cY1GNTXEUEz12PTpCBsEW1Hzg/Avlkr cNpnDm5OdkT8FBskOY5BvJ0l7jjZ4J69BcLXj8KnP/jIkHGmM1+WE+V5H+9n PZHzt8p6WX/gzA0YKNpbu2GNbF+zI/c6d59TkuRHjuRJruRLzuRN7mlGtkrm LON3tYZkbDz0JcLCemD9nHAEzPPH9tA/ER5VHGExlXD1dqD2zs/3/Nwca9HP 6UnLuLcd20pKTMaNs1dxK+4ADs/ywwmXqdjbvh/2dO6Jg5ZlcG7ku7hmWRAb B5XEa18OkSHjTGf+nk49ZXnex/tZD+tjvWmZbEifD5+LfwgkJ8GLbZEfOZIn uQZ4bxact0ve5E7+xrtyrX2lZyd9jpL1hOnw89+QIe1ZSv/du3zjOKZu/gqu wZXwx7oqaOlZLstxEn1vsPYLK8BmWyXMCv4MTn27y5Bxpj+wR1iGMZZysn62 w/bYrqkdz1I6T/IlZ9M0pbwjrvXm38DFm1pg+/Z5crn6Y89RMvlzmHI9Eefs d2JnyQXpfonmX3gg5m1PxLzjhZh3veS/pY8grpjXvRFWZJq8Yt/0Rkz+uel5 D73eEPUUmoWYNj/LkPHHuY/1sx29Tbafnkcbad87mo3S3zHxY9gv9o/9zKr/ DxN5kuv27V6Cc0vjacnqdyXPSD7nu9i7dBN2e6wVPwdjYVmvn3jnH4O/5i3C Opc4bB23AbGhR5BsXP/6xPPDjO9c+tdOei1xJwLR3doBIT4h2D9rFY4sWIib M51xc5I9klzG4p6tJeIdrXHHwRa3nOxxx9kOt+wdkDJ1JAKXO6PB+1tkyDjT ZT7LifK8j/ezHtbHeln//lmrEbI4WLTriLiTgRns0bYafvJ3Mp0PeZEb+ZHj ScGTXMmXnMmb3MlfvX6Zv7T9toALZ1zgH/Ixti9bhiDXddjhuwhbAwdhZ0xF RIaXxM7Tg9Pngjzx+4pxfldW68uZcuP0RZwMjsXxWYuwa6QzDvcYgoPdBuJQ 2+441KkPjvUcjL19huC0RUmcHfMertoUwpxfi+OdCu4yZJzpzGc5lud9vJ/1 sD7Wy/rZDtt78Ntig3Hty1P8rhj5kBe5SX6CI3mSa5DrWsmZvMld237GHPc3 UMpK+hrwIxdPYdAwOyQlJMIg3qWf5Z87fVxj35WTcAoZgElhdWAbUBUdfbR1 Kw8bJ+m2pDJst5WDZ0RbuA4eKkPGmf6wcRnWy/rZDttju2zf1J5nIfn7wLEV wZV8jwrOL3JvA6UnV5pxDfhfp45h7vKa4q3grow/cl6hMZv7a5n6KRzLyOyX RL+Z6XrLQ/oYOwpPRXhpV0TS/3jT48Fy2V2vC/+kwEyEtvlFhjL+mPeyHbbH dtm+5utk0XYmP4b9MvVb5L5iJhyyxyQ3LZNcyfek4Mz4i9ofQynn0t+tTwUc F+/UwTB4TYBf8yGY//OfwFRLHPdaAH/XWPiPCUWYVyAu37im3fiYBy+m+ycZ iqYgUfi0SXcuIWBPDCxsBuD8tPG4M9kVCW5jkWBrgXgHa3HZ4LajPW4L/+OO k23Gy94O8dMssdprKT6vvV6GjDM9c1nez3pYH+tl/WyH7bFdC9v+0g7akyh9 bZP3IYOJ//LozkJ/qSMn8iI38iNH8iRX8iVn8iZ30+egZL7S35MvnZmKbTuK I3zjRERMWo6QiUsRu9IdmzcPQmx0dcSEFcb+Qx3wd0KM8cbH29MquzleHH27 9/c13DhzGReXrMOR2YtxpP8I7G7fF4fb98SRLiLsTh9jEA7//gcO9xqEo12H YueoX/CXVSFcGFsEZ8YUwNAmhVCz1hQZMs505rMcy/M+eT/rEfXJekX9bIft sV22TztozwOjgjmaO3Z/rQ05kRe5kZ/kKHiSK/mSM3mTu+lzUMob0ueALV62 Gd6+G+W/n9X3//r6+sR7FzBtUxdYB1SDc2AV/LmuqrbHVzb+hr7Wvv8KjpGU g2VgR/wxcIwMGWd6VmvuM4yxiHy2w/bYLtunHc9y/b3OkVzJl1LrVvKu+F0/ H9+G4P5YH9Yb2lT1RzxP8b6eciUBR3/bjPB8kxH1uoccm8jSP8nsM7zhie35 PRBacoKIC3/gjcf0U3Rf57V5iH5vCiJdi8lQxrPyObJtf65sl+3TDtrz6Hbn yv6xn+wv+83+I/Xhnztyjb1AuT68j+Qr2aqxlTwlfY7rvsibWGcfhjOL5uK2 jQVs3u+Hk6OsYHCzwMkF3tjqEonAcQHY5BaDv/afgP5invnVRK6dz+L1jCOd CdfP4vixUziwJRbB82KxcuIm/NJnKg6PtoPByRq37cXlaJe1f5LJ/7hrY4Wz i2dgnZsfmtZbJUPGmf4498t2RHtsl+3/0nsqVrr5S7toH+2kvamZv1VOn5KT sYP3o2mSDzmRF7mRn+QoeJIr+ZIzeZO76XNQMl/p78nnLk9HeERhbAwdjLh5 3gizX4IdM+YhcO0UbPQfiJiY6ogOKY6ImIq4fjMg27X4D1+Dchtn9v6Fs0vW YrfLXBzoMxyHev2BQ+174VC7nsKfGICjvQYLH2MIDvccrPkYxutIz/440HUU Dv/5Lc5bvoVLFsWxY8BbaFOvICp/5ilDxpnOfJZjed5nWo+sV9Qv2xHtsV3Z vrCD9tAu2kc7ae/jrn0xXVNPPuREXuRGfuRInmEOSxDn7S05kze5mz4Hpbwh fQwgJSkJA4fa4NiF0/L7/9xeE6V/D50kgi3H1mJW6P/guK0yHAOro/PiCvIM lWz9Fbk3cXkMWV8VbqEVMdT3S3xh4S5DxpneMps19/fPYykv22F7bJft044k Q0b7cq2/xnEU8iRX8n3WY1dKz1YG4+a998R/C1dXwckLe2V6tmMAxveGv3qF Ynu+aYgtOO+x/BRtfEMLOb6x/R13xLz+GL5CNv5KzMSCT+SvSDtEu2yfdpja 9Th+C/u7Pd9U0f+wDDwexKTxI09yJV+NtvptyUvSx40Pn76E1XYR2OO+HJhu hYAuIzH98wFImeiIBJdxOOk3D1tdtyPEMhCbrbdgx4YjSLx9QavEZFxBlwHJ SEpOxrlzJ3Eo4hzCl27HFucwbLHZjM2jwxHuuhK9RzogaJQtMMEGN5we7mOY XrdE2WQnS+z09caySb5oVn+FDBln+q0c1MV22X7QKBtpT7jrKmkf7aS9tJv2 sx/sD/uVESDSnRXyIBfyISfyIjfyI0fyJFfyJWfyJnfT56BkvtLPl9pzfSbC I/MjMKQVtq+egchJPtju6Iv982chYI0z1gb0QWxUVcSFV0JEeCkcONUXiWna OnH5PWtWa1CSU3HlxEWc3ByOE3OX4qTzFOzt2A/72vfG0Y6/S39BjqHQP8nC R8ngr3QfhH29B2O3TV2cH10AV2yKw6/lf9CsQlWUb7pWhFVknOnMZzmW533Z 1an7LvKiHfSXhF20j3bSXmm3sJ/9YH+yXvuipZIHuZAPOZEXuZEfOZInuYYL vuRM3uRu+hyU8o70cYAlWzbA3lnb3zi3xwHk+vqUeCzf6YFhGz8SfkMluATW wPCNVR7qa9wfY6mAsf5VMHF7DUz0+QYN3JbJkHGmM/+h9xt9nhGiPbbL9mkH 7aFduT3vROdHnuRKqXUreV9paSnytTty3zSsDfsGCSlp8m/eA+/WxmjKjUTs KrcIUa/PeWxfheUi35iH0FITsOM9rh/JZi7WY/or0W6FnthfYXm2TztoD+3K ST/Yb/Y/5UZSBi73MRkkP3IkT3LV1gapz5G8Jv394dKFOATYbESwZzhuuTki aYItXD7uj6gBo5Ey3gF3XS1weOl8bHUJR4h9CALGBCBo5lZcuHBbrwlJKYm4 eu4gDu48j9jlgdgyLRYBdpuxaVwQAi147mOwPLsxZnwIhli6Y95gS8DVBjcd H9+/kBfXsox3QcDaRVg2fhG+eX+1DBlnuszPQX1sn3bMG2KBP6xnS/vkGZPC XtpN+9kP9of9Yv/YT/ZX/+UgB/IgF/IhJ/IiN/IjR/IkV/IlZ/Imd9PnoGS+ 0p/Rufg4REdURHBMIwRutEeMuztiXZci0mYOdqwS79crbbEmrDOioyqKd/Ea iAktgdDYhrhwNzi9LtZ068x5nAzdheOzFmLXaFccEv7C7vZ9cLhdD7mW5EhP 4XvoPkJ2fkQ214Feg3DaqgTOjymMM5ZFYd8kH1oV/QIVvtghQ8aZznyWY/mc tkG7aB/tpL20m/azH+wP+8X+sZ+mP93kQB7kQj7kRF7kRn7kSJ7kSr7kTN7k bvoclPKWuNY1CcmwtZmGyD3aOSW59T2NvkfpheuH4b75G7gGV4NjQHU4B1VH j6UVHzq2oq+17+BTETZbq2JaWG2Mj3VB5XkBMmSc6czPbs296RgL22O7bJ92 0B7aZWrn0/dX+x6eHMmTXNX5Ef8UGcdYElIxY0NFRBzykqmZ368NydreWNz7 l+s5uLbjsf0D4VeECf8gpAh9DG+RnkMfIzf9FXl5SDtoD+2KyUE97Df7f95h lzbNODnTfAUjt4iDXpixsaLkqjNWymMyfl4k3TiLMEfxvu0ajgvzpiLV2QZ7 h46DY8O+uOsm3rHt7HHXxRJ7fP2w1S4cW5wjEeAUjrWzonDp5DYcCN0L/+lR CKR/YhWIbeOEb2ITiGDx7h7iKP4trgD7IEQ7bsd428UYIXyVFEeui8+Bn8LL 2Rbx9la4MmcqNnv6YbnzanzTYIUMGWc681kuJ/XSDtozYrAFxtv4SjtpL+2m /ewH+8N+sX/sJ/u7X/Sb/ScH8iAX8iEn8pLcBD9yJE9yJV9yJm9yN30OSuYs 4zNKS8buqAaIjKyM9f5DxTv2dOyyn4Ndk5Zjr91khG1yw9ZlllgX1RxR0SWw Z2cD7IiqghN7vsG5S7txbOEq/DV7GY4MGIrdHfrhkL4GpcdA4xwvrkHJfvzk 4Zeoo+sfiBreASctiuDyuPcQN7QwBlbLh+5lPkXdppEyZJzpzGc5lud9vP+J 2jXaLe3voa19Yb/YP/aT/WW/2X9yIA9yIR9yIi9yIz9yJE9yJV9yJm9yz/Ac lPKU9Dmvf536G50HDeEbdq7Mg9XHLY5fOwm74EGYEFYX9gFcR1INFluqoo23 8Cce4Wdw7cnvyyrBKbAKHILqYPwBdzRdGiRDxpnO/IetgZEX2xHtsV22Tzto D+2ifab2PlWf0wySHzmSp56m9M+Q7tcGHVoItyWVcPas9p5gyLRZUeqdZOwq tVDbJ/hxxiRY5nXxfl94OraXdUHUm55P5qvkur+i+Sy0h3bRPrl2/zH7xP6T A3mY8tF5kR85kqcpX6W8qWThgga6RsLfIQL7PJYiwWEs0iY7wv3rQdjccgQw 0wbXXWxxxcMNof5bETdzJc77zMAtN2fcHj8OR2d4YfO0CARahyLUQXvPD3IQ 7/j2wfLaJq4dIm2JdTD6jRiMm/YWuMd1JDn0V2472SHJcSwOuC/H1mkrscZ6 K75uuFSGjDOd+bdzMCdMq9dW2nPTwQJ9hw+WdkY4anbrfZD9EWnsH/vJ/h6d MU/2nxzIg1zIh5zIi9zIjxzJk1zJl5zJO1kNSeYhGc/9TL2NuOj3ER1VEgHB bRG0zg27pkzBbjc/7LWaiZjpsxG8YQK2r52GoJj+OLGqLo7N/wpnbSvglFVh 7PujOnZ2pY8yBMd6DXzk/K4cXT0H4FCXkTgy/GucscyPa1bFsLzD2+haPh/a Vf8fGn8dLUPGmc58lmN53sf7c8cObf4Y+8d+sr/sN/tPDuRBLuRDTuRFbuRH juRJruRLzuRN7qbPQSnvSZ+vZD9pBlZu0NaHp6QkP/FaFvk+Im69duMwPNa1 hVNADTgEVIbjtupwCaqGAauNPsZDzk+R50QKP2Pw2sqYEFwdFhurwmnzQPy8 ZpsMGWc681nuYf4K22F7bJft0w7aQ7toH+3Uznd9Mp+FnMiLIj9yNOWq9M+Q Pvcr8W4aJi5vAb8NI5CUmILUNOPYgO6v3E7GzqLej+2vcD17hCgXXMJN+gY5 Wl//EH8lJlf8FW39Pe2ifbTzcdffs//kQB5GgPL/yIvcyI8cydOUr1LeVIJ4 jOu9DiJobCAiFmzGrYn2uOdkj0sWo9Hzl35Y7zwfccsDEDwhAgFuwTi7aA5S HEfhjj3nZ9khwckSV+eNx/a5gdjkEIkQm0Dxfh8k3/MDxRXiEIit1uJdacAM 7HLuhxQnZ9xyssnZ2AovB3FNtMWO+f4IcPXBRmt/NG24HBustTjTmS/L5bBu 2pPi7IydTv3Qrv8MaS/tDkz3V4Jkv9i/7Z6Bsr/sN/tPDuRBLuRDTuRFbuRH juRJruRLzuSdoKa25CHdPzMyYv/7iAsrg61RX2HragtErZqBPcOcETIvDLFe Xji2eiP29LfAoT6W2DemPi6OegXnRr0n519dtCyEow6lseePjtjfbSSOckyj 5xOOazywdmUg9v7+J+LGfoyLY97BeeuimND0FXQt/S/8WOFHfPXjDhkyznTm sxzL874j3XPHDvaH/WL/2E/2l/1m/8mBPMiFfMiJvHYKbuRHjuRJruRLzuSt zorM+9LW2afh4PlDGDJwHP46df5+XlrO1uCzpHwfEffMjJwK54CG6T6C47Zq cBBXJ5/sz03JfE7k2M1V4RhUFVP962H83I/x8aq1MmSc6cx/2LmRpnPL2C7b d9xWLd13on20k/bS7pz8FGv72Ny/g9zIjxzJU61//OdJ98VP/r0H1u6NEBG1 VqbLeX+m/kqx+Y/tr0SJK6KsM7YX5FkpOVxfn42/EvXeVOyYXFiGT+uvyIt7 lgn7aGfUY9lh9FcEB1N/RZ8fGRG9FtZzGkmOT/NdgZKZyMAdfFMRvDJMvkdv mRSBq3PckGw9CqcW+KJJB0+UKuSGvv9bA99Rm7HDIRTbxsfghPd8ea7JLe45 7GSHe3ZWuD3ZAft8lmDz+Eg5BhFsH4RtnAfmFII/+y7Dapd2gJtlztesGK94 e2vcmOWKjTP8sc19PDbYbkDTD1bIkHGmM5/lnqR+uZZF2Lfaub20l3bTfvZD jqmIfrF/7Kfsr+g3+08O5EEu5ENO/QQvciM/ciRPciVfcibvFKSq1688I+1B 3UMiAg5+Ld6jy2JHTC34rx2L4NW2OLtWvN8sWYkf3Z0w32M69o9yxl9demF/ zxE4ZNUQFyzz49yYYjg3tojwEQrilOV7iBv3OQ70HIoj3f7IlbGNIz0G42Cv gThuWxJ/jy2MQyMLY0itfOhT+nX8WqgvfmoZKsM+ZV6X6cxnOZbnfbw/N8Z4 2B/2i/1jP9lf9pv9JwfyIBfJR3AiL3IjP3IkT3IlX3Imb3I3fQ5KeVTGM4Ln Dh2L7tXeh+PqcBy4fDs92/CYR1br7yPh+31gsfETOAVXET6C5qu4BFbDqE1V 0eox1tlra1foX9SA/day8NrZAcMCfsfHCzxlyDjTmd/hMfwfuY5FXKNF+7RD 852qS/toJ+01tf9hMiDj9oHk5LgmHN2rf4A5w8Zl4Kn0T5P2W3A7/jZcZrXD otnf4sxfcXLbXu1crpz5K1HClwgpPgkRhZ9wff1D/JXQaUVyz18xrr+nnbSX dufUXyEfciKvhYIb+ZGjKVelvCntq5kE7F+9HtvGBmOrWwSOeC7AGfe5WDtn N36psxjFS9mjQRVP/NLED8PbroLfsM0InhKH096LkOAwRu7JJfcRtrdFsutY nPTyRuCcUGyxCkWMUyjGDQzDlEHWSJ3VA9cdnXHnCcZWWH+irSUOLfTElml+ 2LjACuucVuKr91fKcJOIM535LPeofY2zvmyEfU5Ind1d2ku7aT/7wf6wX+wf +3lbnktpJ/tPDuRBLuTzy2d+klcJwY381gmO5Emu5EvO5E3u6quxvCP9zMgz ZyYjKqQIoqOrYGt4R2zx8cI+v3VwmWyH78d3xodjfkP/wbOwtfUInOwj/IBe o3BkVCOct6DPUhRnxbv7+THiPd7qLRwaVw87B/6OI12GCX/h6XyWo90GI3pw L5wcWwzXrd7Dup5vo2fZfBhQ/g10Kfg7WrbfLkPGmc58lmN53sf7n85fGiD7 wf6wX+wf+3lW+ipFZf/JgTzIhXzIiby+E9zIjxzJk1zJl5zJW50V+Q+RQdvD 28k3EC2//hWdxvVHxznzMHFDGI5d4n6Jxncx7ieXTRX6GpBDV09iyc4/4bqt gvALaqSPq3A8o9/KR6830deu9F5eCc7BNWG/pTQmxvXDhF2j0dBrtgwZZzrz We5x6+y/UpsTdn+cpYa0k/bSbtN+PIDI2H9jbyUX8iEn8iI3Z7+gdJZKeVTy CEPD/eXfmdYgcSwgSfzJW+47ER72TTFzSh8kpyakj6el3knR/JVX3LP3VzK8 //N8Fm9E5+dcKw+5t1aUMWQ8+i1PRD323lz3/ZWwaUVz7K/Idt7yzNqO/HOl nbT3kf4V/RXRf+mv3NE+H8iHnMhrjuBGfuT4wNhKZvbqXczspZ1VaMCp4OMI GLsZW60iEL44BNvmRGKrdRB+/WY5PvzAA1+3m4T+zZZjaLtVGPjrSvz5ywr4 OMbi0kIfpDiMxQ2OmTjbyrNNEuwtcGOOE2K9g+FhEYCxXSbixqx+uDpzIOLt HUW5J5sLdneSDXYtEu8yzguxwW8M1jssR1PhrzBknOnMZ7knmRNGu2jf1Zn9 cX1Wf2k37Wc/2B/267axn+wv+83+kwN5kAv5kNPXbSdJbr9+u1xyJE9yJV9y Jm85k1Ktk8wz0t+XL56ZjojgItgbVQYbdwxE+PBJONN7OBztZ+N/Y35E94nN 0fjPD9Hs00lwqNYNwe3F+3zfsTg27n2cH5sfZ8W7+7mx72nv8GPfxQnbotj9 Rzvs6zEcR7s/4fwwjmt0GY6Do77Baau3ccmqKKZ9/xp6Fc+H7jVfR5ei3dCl ww4ZMs505rMcy/M+3v9E4zyc/yXspv3sB/vDfp0z9vOs7Gd+2X9yIA9yIR9y Ii9yIz9yJE9yJV9yvnhWnb3yz5FBeiSjt59BS5vBGGE1GuMWtkfPuf3Qbaod 3DeE4+69++8VqQ+c32P8vLq8D2P8u8EmoIrRH7h/0Ufo+JhjIS1FmaHrKwvf ooa4rxzGbv4VMyN74X3veTJknOnM/1OUa/mINSz6mE3HDHPC7l+0l3bTfu0s yYz9M+0vOZAHuZDPuEXtJS9yIz99Nr5S3pMhm/MNTd8H9HGUc6ePY7pLR0yd 0A4bVmv7uvPdO+V6ImKKemvv8w+bX1VgFiLKuUgfIfa1OYj+rzt2vD0fcQUX IK6AN3YVmo/It0U9/52NncznWfOv80zG+1e08eKaktg3PRCb310rwz296K9w rzERZzrz5dqT17OpR9TPdtge22X7tIP20C7aRztpL+2m/Q+bv8b+kwN56D4J OU0RvKYJbuRnyjMz58d5LkrmIf25HdhxFWtGhCPGYxP+XjYT25zC4W8diNat lqFbm1X4tt1UWPRegoE/rsbMIf7wGLgJnZr6YUjfIBycPRdwtRTv8fa45Wgj xx0S7W1ww20c+lh74OwkV6RO7IGr4y0Q72T/ZHPBHGxwbZo9tsxdiiAXD2xd aA1/u/X4stFKGTLOdOazHMs/UTuO9rgywQIpk3rgnLCb9rMf7M8tOf/LRvaT /WW/2X9yIA9yIR/L3n6C1xTJjfzIkTzJlXzJmbxN+SuZv9LPjLw4FVHb30VU 1LfYNfMTHOjaB2d69cOETl74slszdJzQGq3H1cLPI5qgeWlrdHq9NSY07IOt XUbghE19XBn3Nk6PKYKz9FnGFsWFMYWEz1AA+ywaY1/PEU80P+xojwHYK/yF PcOb4pKo//joIvizwX8woMy/0KpyMXQo1B0DOm2XIeNMZz7LsTzv4/1HczrG Y5z/RbtpP/vB/rBf7B/7yf6y3+w/OZAHuZBPG8GJvJoKbuRHjuRJruRLzuRt yl8pb0r/S3dbPEb7mBv4w98OvYYPRvfJrdBxXnN0WvwNOrv/hgFzfLAm4jTu Jd1/v5BrX0zOit+60wWuW6rDSZ7PeH/NCvflGrO5Klo/xloT7ufVbn4F2Gyt BqcAUUdoTczwrgPnjR/jg6WrZcg405nPciz/sP3G0n0W0T7toD2ma1loL+2m /ZIJz1XNtLcz+83+kwN5kAv5dJ/USvIiN/K7nZKRq5L5S37eGz/zDUkG3N19 Q+5rlXorCQn7b2QqDOOZu8DilZMx07ITJv8xFGdO7JPZKbcScHP9YURVmYMd r7lrfobpe/wbcxHJ9esl3RBJ/+BVT4SW8sP2+iuw5qvViGy+AVE/rEXM95ux 9rONCKy9DsFFfRDz1gzEFpyGnYWmYRfDgjyLcjqiCsxExDtzEPqWF8LfoF+x CDHClwicUUKGjDOd+SzH8ryP9+8y1sd6WT/bYXtsl+3TDtpDu2gf7aS9tFva n9X+AKK/7Df7Tw7kQZEPOZEXuRn0OXSZvhsgb3Infz4Hg364a5r6Htlcpa1z BPYeu4nAOZtx18MR8a7WiFq0BWtGBuH3zisx8sdVcPp9Fb5pNRX+VkFo8+0y zBzsj1i3UDh0WIs2HdfBZ5QL4q0thF/iIN777ZDkbIWxPd0w6Y8QRM0LxeFV 45DsMhx3HIS/koO5Wty766ao766tLc74TcaO6Uuw080DG6dPwaxxG/D5+wsw a+wGGWc681mO5XlfjvYgo13CvhRh55EVFoieFy7tZz/YH/aL/WM/2V/2m/0n B/IgF/IhJ6feqyQ38iNH8iRX8iVn8taO0VO/F3lFcj4Yz5S+PQ1BUQ1xZNKH ODsqP2KHtcPpXkMw4+NxaNy9G1qOrYRfHPuhzZ9v4qfBzdHhrUFo/++W6FGg K+y/7Icd46rhpnVBXBhXBGfGFDbODyuCixZv46Bldewe0gVHuM9XTnyH7oNx sPcAHLQvi6sWRRDYtwB6l8uHPyvkQ7tiH6FlgSEY1nujDBlnOvNZjuV5H+9n PTmb/zVS2ku7af956Ydp/WL/2E/2l/1m/8mBPMiFfH5x7C95Ne7eXfIjR/Ik V/IlZ/I2yLXayl/Jy9L/0l0SrxW2O8+j38yv8PvM79F52HD08GuEb9074dcF jdFlYTn8Nrsnei5ah02HLiIhNeM8Ds+4+XAJaybe/Sul+yq6v+IaVA2D1xj3 8nrYvmDzeOZ9BXRfUgFOwdVgs6UMpm2vhSlRwzBi9f/QbO4CGTLOdOazHMvz voedH8l25Z5jwg7XDHPCdJ+lkrSf/TAV+7np8EXZb/ZfchA8yIV8yOn3mT9I bnaC36WEjFyVzFiGjN/d39xyBoe+XSfnM+0ssQCxRbyxs/gC/DUoHJc9jqSX 088FPX/2ECYNH4qlYwZj2mArnD5yRkufvA8hr4xHeHk3RBSZgsi3tHGNGO4P LP4dUdYFke9MRXixJQhssgYbmy/Hhp/8sO5rX6z4wQs+v3lg2kBXrO3iCO9+ k+BmNx6Tf58An4+ssaauNdbVscPqetbwE3+bvb8chTnfjJD/DijnhMhi9ghp OBxhk4vKMLK4vUxnPsuxPP/N+1kP6/P5yErWz3bYHttl+7RjxQ/zpF20j3bS XtpN+9kP9of9Yv/YT/aX/Wb/yYEiF/IhJ/IiN1OOFPmSM3lL7oI/nwOfx80t Z+8/MjXWYnbSx8guXj2A6x42iLe1Q6LzOBzyXAo/i+0Y0mElRnddLd7Ht6J7 17kY0kc8Y9ftaNFsGZy7r8eh6duxaWwgLIathXOPUdjWbRhSxHu5zzArjBqw FdFOYdhquxV+S3xwaPECxE+0wV0762z3HKZ/cctRO8f+rpM9Ul1tARc7GCaM FO/5M+E4YiFGD3fDqD97wGaANYZ+2UeGjDOd+SzH8ryP97MebWzENlv/hfbQ Ltp3ePF8+PktxhbbbcL+UNkP9of9Yv/YT/aX/Wb/yYE8yIV8unebK3mRG/mR I3mSK/mSM3mb8lcyf+lrZHdcDUfsxOq4PLwgzlu9jX3Dv8SRvqMwpVYPfPuB PdoMLYqfrX7Db6O/R4ehr+K3tq3Q+pVu6PZaG7T7d3u0qdAGM7uWxMnRhXHV phjOj31PvN9r86YujH0Xp62LYuew37CfZ5pwTcmj5ocZ52Pt6tsfp0cXw03b /PBo9R90Lv0KutR6D22LfYb21WtijGNXGTLOdOazHMvzPt7/WPPR2J6wi/bR TtpLu2k/+8H+sF9/if6xn+wv+83+kwN5SC6Cz89Wv0pe5EZ+5Eie5Eq+5Eze pvyV8qb0T//zd4E/tkVgoE87dF/VHF2suqGfc3u09S2Dbzx64TePL9B5YUF0 9K6Ddt6D4bp5A6JPnEZi2l0E73aDw9rGwgeoBCcTX0W/nIR/0NN4RmTG/bzo X/DMx3IivRxae5VES88SGOFfC65bamFqeAtMWPczFpw8iPHruuB7J0cZMs50 5rMcy/M+3i/rYX2iXq3++/uNsX3a4RT04Jww2k372Q/2h/36f/bOA7yKag3X 2OhNkY70IliPHruiIhB6Se+9F9IIhPTeExLS604vpIdASO+NUOyox3IUe5em FPnu+lYSCB770avn3szz7GfYM2v9//e9a6HrZ/bM0F+o8KmZ5SB90z85kIdm /lzJx8DHSPIiN/Ijx6Fch7e/6TZkgL5pfB8n1x9Azy1J6L4hsf9ejlEp6B3N +zdS0TUiHr1jU/DK0xX4onDgPqfvLoFX4YpTFMi0c0Ci+G9k1T4+y/oSTgWf QOeIJByZnI7O6TFovyMcnVNj0TM2E223R4tPAhruqULdtjJUbcrBgefyUbg9 HTlmYYjd6Y9ik1Ak2UQhV1mBms1JqNiaiv0qhWh+pgad43LQOioLHWOyxScL rRPS0XNbPNruiMDR2YE4uCAcuY96ott3qtzzO4/zfM+t8bI9+7E/4zAe4zI+ 89RsTpZ5mZ86YncGSF3UR53US93UTx/0Q1/0J30Kv9K38E8O5EEu5ENO5EVu 5MeNPF95ulLylZwFb8mdzysQ48Dx4LicXF8txqn/2YXDNcvfZxv8t/0PPvkO FQWv4cvgYJzlOxn9vfFZXhxKfFrgoFKGVMcaeGyvQGNIMx7YGopqnwZ0hrTB YHMJfLUrxZqiDT2BHTiUWIOyXa4IXGcLnW256AptQ3doO5qDD6Fmbw5qQvrQ md6Ab1KCcT7AQ94LMliffC3rlwBcFDUGwkWdEeKJL4Pc0bXbC0WO3nCxS0RI kANKXEzQ5WeMswnP4UyoBfastJB7fudxnmc7tmc/9mccxmNcxmeer4fUL9RB PdRFfdR5KCZb6u4R+umDfuiL/uiTfumb/smBPMiFfMiJvMiN/MiRPMmVfMmZ vMl96DgMb3/fbfD68Icfn0ajZxTec7kd73tOw4d7puCk72K8buOAiLtNoXqr JTbueQTaO2biWT9raNotgpbLNGg//RxURmvCZJxYd9ykgy1T1sPmibEo07kV 73jMwOc+0+S9Hu+5MeZUUQPwWstDOMHnDBs5Xn+tRdQLr/N3WMZ8hrE93jB0 wiv6HjjmtgUnQ2bhhV3PwvKhx6EyQRka402gPusx7FwxAu471eSe33mc59mO 7dmP/RmH8RhXxufv0obUL/KaitBDXdRHndRL3dRPH/RDX/RHn/RL3/Sv/fQq yYNcnvWzkZzIi9zIjxzJk1zJl5zJm9yHjsPw9r+3DY7cqW++h3VZJfYUb4Bq xIPQz70flnau0FQ8CM3MuaIeMIR+ipL482xoZkyHWeFDCKnZjdSq/YgudkR8 z/3wb5yDgIblYu2/YkgdwHc03gnt3MF7VwbfSS/qCsVcqKXPgG7OUqinLoJJ 9nPQTVNCZJ0h4ur0EVG7GcENmxHZtQvRXU/j3rxyuY/s2i2P8zzbsT37sT/j MB7jMr7MMyQvdVBP8HW1ygqpm/rpg37oi/7ok37pm/7JQUvwIBfyMRCcyIvc yI8ch3Id3v6G28B699JnF/BF8VvynvLuEQk4ItbyfRPTr94zPvjpm5Qh70Nn m6NTMvBvyw5cPndZ/nfvk1OvIs3SH4V+FkjTDMChwjxc/uoyjsxOQu9I/l6K 1x1S0DYzBh1zAtC6IBqtoj6o2lqIKqUslK/PRYZVGNIcfZGjk4CKjdkoX1uI GlEbHFDKReW6PLHPQ/WabNRsykfvqmqcmJiKzlvj0DN9L9pnR4rYUaJeiEHb bYk4eks2mpb7oUExHk0r/OR3HpfnRTu2Zz/2ZxzGY1zGZ57+fLkyP3VQD3VR H3VSL3VTP33QD33RH33SL33TPzmQB7lIPoITeZEb+ZEjeUr2vE4zKeM67vL3 cxyPCf3sOU5fHXy3fwyH/IZvePtrtsE18qnPL6A6ug/1vm34MiwUZ4N9cCbQ F+f2BaNsbxOcN5TgsE8jDLeW4GhEJ5wtcqGunYITYd1oDW2B9dZSeKmVoyO8 FT3+nahNqISueRGct9fAdGMRkmzr0B1xGO17S9Ho04l6nzY0pLTgzXQFLoW5 44KoGa5E+ONKKJ9B7I6XPbxQvtMDQdb7sNsiEbvsKhFpV4vCtHpRk1gCkaI2 SdbD+fSN+CTYFrtXmss9v59N1u8/L9qxPfuxP+MwHuMyPvMwH/MyP3VQD3VJ fUJnW0wpeiJqkCj0m27q90Nf9Eef9Evf9E8O5EEuzhZ5khN5kRv5kSN5kutZ PoNMcK73aZXcyX/oeAxvf7/tytW6/jR6XELxuq4Z3vOYK9bn/e8UeddjOk44 myLkXjOojtCH8mY96DiPwRZnJazbpQodu8nQ2HEntFYsgepkZRiN1oXxKD1o TF0DvWU3wOOfo3HQSNQ/3tPxufc0nOK1lj3T8JH7ZJz0W4AXHPTxqoHbwPO7 7OW76F8xdMXL5vZ4wWIHTuxSxkt7nsIRt21409wRh7QcoD/aEMYjtaA9Xheq i+6A/bIb4ei0Su5VF82Rx3me7die/difcRiPcRmfeZhP5hX5qYN6qIv6qJN6 qZv66YN+9JbeAPXb10if9Evf9E8O5LFulxq27FSSnMiL3MiPHMlTvqtF8H3P 4w7B21RyJ/+h4zG8/W9tgz8f/+CLC7BNiYFJzgoYKkyhV7QIFqGaMPayhVb+ bPlbK/NUddglrYVW9hJsT7kdDiUPIKLGDvGHgxBXo0BMiyEiWhchsHEuAgfq lpCm5fCsvVPUC/PktQ9VUUfoZPO6x2IYZDwM/cwtMIxbD7NcC2hFPw3Hqm0I rrsL4a33IrBlPkKqlyEh9x/wbX0Ij2aWyn1Czj/kcZ5nO7ZnP/ZnHMZjXMZn HuZjXuanDuqhLuqjzsCGuVI39dMH/dAX/dEn/dI3/ZODtuBh7G0r+ZATeZEb +ZHjUK7D299sG3zPuvjv1WubDg2slQdqkl94flbfJP6uK030icXZrv7rLJe/ v4hsjyhkW3mgyNoTKaZx6IspRuPMRLTfvg+9YzPkGr57TDIO3h2PcpV8lBrE omxzGkpWFyN7pycKjKNQvqYQB9eIGmV9Dg5syEal2FcP1CuVrGG2ZKJILRHl uomoUc5Fx5QYtE4TuSYko5v3kfC++jHp6JiQhoNPOqM8c4Hc8zuP87xsJ9qz X6fozziMJ+OK+MzDfDLvgA7qoS7qo07qpW7qpw/6oS/6k7WK+NA3/ZMDeZAL +ZATeXEjP3IkT8n1F9n31zLdNybiDZXaa9dYhv+e/SXb4Nr4fbFWPhjTh2bP RnRENuGMIgxn/H3kO0UuR3uhNaIQO9ZUozuqGeabS1Dh2oDO0Has3BqDJNdK 9AZ3oCOsFTu3l8JNpQRVgT0w1s5Cb0wa2pNeQIHzYdhsK4PJ5v1Q7M5ET3gn ukNELt92tEf14XhuCU4GBKLWwR1x9mFwNkuGm10RfEWdke/ZghrfLhwNaUZr UC9eyUnCxVgDnA6xwSdpKvgqcwO+CLSB61Pmcs/vPM7zbMf27Mf+jMN4jMv4 zMN8zMv81EE91EV93eFdyNiVCdMtBbAW+umDfuiL/uiTfumb/nuD2yWPpwQX 8iEn8iI38iNH8iRX8iVn8iZ38n9/uGb5227X1yoh+JeOBV6ztsE7/rPwPtfU fAaW9wS84qYEj+VW0B2hBY371kFtl1hr2M6CkoMmVOwfgobjZJjo3guNhROh OmMjjEbqwXCUPnSnK8Fs8Q0wu+MGeD05DvUWU/Ghzwx86jUdp1x5L/5kvO85 BSfcnsWL1pY4abIDR120cXLnWrzofR/e9ZqJd71vE59J6BV1xPtmzkh52hhq t6jDaIwWDCZrwfCucbBdMgJG1nfLPb/zOM+zHduzH/szjown4jI+88h8Ii/z Uwf1UBf1feo1Q+qlbuqnD/qhL/qjT/qlb+lfcCAPJUdNyYecyIvcyI8cyVNy FXzJmbzJnfyHa5b/3W3wWVhff/QVvNx1YVZ+P0xSxN+PhHnQ338PTB2dYZWq BGXFdGiLdbtT8mY4Jm2AbuGDMIrTwY7C+xHUNhcxrdsQ0ZCOiKY8RLZqizpi AfybFoqaYBF2Hl4Ejaxl0ElZAeO87dCJeRaWeTbQjVkFI34Xx7XFeY3MO7Dz 4FyEtYhapIHXZRYirUcNngc3wrfhLjyac0Du+Z3HeZ7t2N5Z9GN/7YE8jMv4 zMN8xgN5qIN6qIv6wlsXIqpNR+jOlfrpg37oi/7ok37pm/7JgTzIhXzIibzI jfzIcSjX4e1vtPF+lYvf48Kpb/H6xhp0jYi79m/6v/JdJH0TFWLtH4+XHknH GwbNuHj2Mo60VCNxcwzK9+xAtm4MFE7eqF6Zg7YJMWiZKWqW0SmouTsZRZsq xPo/D+WbFCjQTkR6kB1yzCJQ/Uxxf22wLgdVSnmo2JAjagdRn6gno0I1Abn6 sXK/XyNF1BEKlG4rRP3dVTh+c//zjvvk9aAUHBmdicaFoai/1xdlifeIvY/8 zuM8398uXfZjf8ZhPMYdmod5mZ86qIe6qI86qZe6qZ8+6Ie+6I8+6Ze+6V/h 5CN5kAv5kBN5kRv5kSN5/vr3wPRfb+G4vb7psBjH83I8h2uW/7vb0FqlWqyV W7wb0Ozfiqa9rfigOBbn/bzxTag/LgV7oy86CS4bK/BiTDtcVSoQbXsQL0Z0 IdypFKvV94q1fTsa/VrE+r4VwVpVeGqlAr1evkC4O15NyUZtxAn0iTY5u+vh pBkLu82HxJ9bkeZZhz221dhpmYRw1zB4+h5GmksTDvh0okus/Y+EtKEzqAWt gc1o8m3G4cg2vF3kh+9CDHEu3BafZWzCF5lb8EWADXY9aSH3Xyq2yOM8z3Zs Xyv6sT/jMB7jMj7zMB/zMj91UA91UR91OmnsQ65LndRPH/RDX/RHn/RL3/Tf JdqQR7hTieRDTuRFbuRHjuRJruRLzuRN7uRfPVyz/C23H15X+ZeeGV43dcJL lrZ4IXgRPtpzG97zmI6P3W7FS773YtddhtC/SRvbJ6pCS/NhaDhPgqrNo1hv LdYvYm2+zXkebFYtgsHiW6Axcx0MxVpef6QBdKZuhM2yG2E5ZwTM5t+I4GfG ostuIj4KvA0fes/Cq74L8cKup9G9Ww8vBSzHe14T8YH4fCTyfuAuaoc9Yl3v PRuvmO7Aa+b22L1UH9o3a8JgrKhJJujBdtE4WIj4KqZz5J7feZzn2Y7t2Y/9 GYfxGFfGF3mYj3mZnzqoh7qojzqpl7qpnz7oh77ojz7pl77pnxzIQ9X2McmH nMiL3MiPHMmTXMmXnMmb3Ml/+DrL//A2sK7+/v1vEGr2MNSL50Mr5mlY5W2E atYUGMRvFmtzO2gWLINa6h3QzF4I59TV0AjRhkrW01BNnw2jgjvhx2sUbfMR 0aqOyKYMRDYkYl/tc0jqVYJDzkoYZVrAJGEz9BWbYZgh8mQsue66h1raPOjm LkJg08BvycQ+oG4OYk/YIfyENbwPL8OjedVyH37cWh7n+aCB9uzH/owz9DoO 8zAf8zI/dVAPdVEfdUY2Z0jd1E8f9ENf9Eef9Evf0n/hMpgJHuSiIviQE3mR G/mR41Cuw9vfZ5NrW7F9WfqOvK7ya/5d/8eeRXx0YhKOTIhG64gYfBT1Ei7j IvJdIpGnE4kSL3Oxfi9BttFetI/NQde4ONQ+GIUStSJUsx7ZkInq1UWiNoiG wjoYZdvTUawVL69t7N+uQLlqIvL1YlGqHo9i9SSUbVGIPtmoUMqX1z2q1uWJ TxYatpWhXT6vK3ngnvc0dE9IQ9093mibHYOC3GVoF/u6e73l8T75fpV02Z7P +WJ/xqkauJ7C+MzDfMzL/NRBPdRFfdRJvdRN/fQh/Qhf9Eef9Evf9E8O5EEu 5ENO5EVu5Cc5/swzkX+yZpnE34fFy3EcOq7D25+//Wet0ojmILFm9m1CbVQ3 Xswvwnf+HvgmxB8Xw/xw0tMXrpoH8OLeDoTZHISHdiV6w1rRE9KBDRpx8Lcp QW9oB7oC2+DnXAu/7c7IV3Pof95vpAc+zkxDlX8b0vfUwd01E3pbk2GwNgpm 651wYIcbLkR44kqwD84rItCX0YT64C40+zaiie+TD2hBMz8+bahLrcPpFGuc DzcVHxt8lb4eX6ZqiDrFCjuftJX7L9M05HGeZzu2Zz/2Z5wm+WmW8ZmH+ZiX +amDeqiL+qjTfXem1F0V0C590A990R990i9907+/TTE2asahR/yZfMiJvMjN VeOA5Eie5Eq+5Eze5C75i3EYrln+Xtt/1Cq6ZmJN74g3jEWtYuaMo55P4GP3 STg18Dzit31nwvoebejepAODMcrQfWI+NB2XQNduBjaYrIOyxTPQsZ8INfv7 YbniNpiLdb3W9PUwvMUABrcYQWvyVlgsGQvrhWK9v3gUVOfdDa9Vz6LK0Apv 2jrgdZPdeF3fAcetrfGa28N437v/WVzvuc8QdcVkHPd6ACctHdCtYw3DydrQ H60FwzGaUBlvCrs7xkDj4alYa7tE7vmdx3lethPt2Y/9GYfxGJfxmYf5mJf5 qYN6qIv6qJN6qZv66YN+6Iv+6JN+6Zv+lS2exnrT9ZKLpuNSyUnyEtzIjxzJ k1zJl5zJm9zJn+MwXLP8b26DzyL+/M0+7DKcje35on7O2wbNlPVi7S/W/IWL YeFqD72o7dDOmQO19DmwSVsD47BNUE5XhXb2UiinzYRlxQr4192NmOYnsK9l G0JKdiEjNxap5VnwO2QO1dTp0MlZIO+L11DMG7ivRPx9zFh09Z0r9lVLhrzP UdQhonZwazVExgkDeB5ejsdFvcI9v/M4z7Pd4Pso2X/wXSyag/fxZ8yX+ZhX 5hc6fIUe6krP2Sd0uki91E399EE/0pfwR5/0S9/0r79XGZZ77CUXVcGHnMiL 3MiPHIdyHd7+Htvg74e+PnwKveNSrrtH4rd90tEj+h+fvg9dNyXilN8RXDz6 NfqKCpC2PhX73eywXzcSxbqFOPSMOw7MzkSpZibKdfahYl2uWOPnoXh9DhJc 3VC0LQ3Fykmo0I5AqW4Eio3CUKiajgOiXYWsI1ibiBpFtK9anz2wFx9RH5SL +qHxuSr0jO9/H+TRUZlomheJ+sUh6JmShMziO9Et9vzO4zzPdmzfuLpK3pfC OFdjDsanRl7j4X0s4s/UQ13UR53US93UTx/0Q1/0R5/0S9/0Tw773XZILuRD TuRFbuRHjuT5m8dgYOw4jhzPoeM7vP1520/VKlzLt/o3oSb4CPr2VuFCEN9X H4ALYQF4ZbcrIi0z0RvRg+KddbDbVIqW0Ba0B7Qha08tHt4chc6QZkTtbEWQ VRQQ44laU7Ge32yP+l3eiHEKg5ZbPeJ3i3m82wifhYq4oe54wc4VGVvsUKa7 Ex/6+gJhvjgTHYgXc/NxOKIXjT5iDS9qi5bAZtT5dOFYvgLfxRnjXIQ5zoVb 40zKBnydYIjPg6zg9IQdPg+0kt95nOfZju2P5Slkf8ZhPMZlfOZhPuZlfuqg nhfsdkt9n4X6C72GQneo1E8f9ENf9Eef9Evf9P/wlihkCx7kQj7kRF7kRn7k SJ6Sq+BLzuRN7rImG65Z/lbbj9YqZo7995ub2uJlI1e8Yr8RH3qO73+ml1jX /9vvNlg+shL6I/ShPVEXarOXwUhnBVSdb4OO+YNYp7UKmtb3Q91pMoz0H4TN 7JvE+nwENGcqQWucFrbPEuuU+2Zi+8wN0B+nA52x+tAaIWqZ8XoI/YcFOnXt 8I71Drxt7IiXTJxwdPcGvOs9Ta7teQ3kpONavGO2B9lKJtAYqQnDsVowHqmL TbM2wHreCKg8swzP7bxP7vmdx3me7die/difcRiv/50w02Qe5mNe5qcO6qEu 6qNO6qVuqV/4oB/6oj/6pF/6pv/1goOOxYOSC/mozVkmeZEb+ZEjeUqugi85 k/frg++jMRuuWf5XtytX+p/v9t7b9TByWQ61vHnQTFwKk7iN0M9dLtf5RorV MHFwg2HBXdie9Sy2pKjBtGihWM9vxLoEXRinrYR2rBKcq2wRUbUO0e1qCKlf iojuB5HQYgqn7ESYpXrDMPuf0M6cBvW0O+R9JZqDz+/iO1dyFsJ36H3w4s9B bXciIvMBJNQ/DK+G+/FYbqXc8zuP87xsN3BfP/szzuC7WPrjL5b5mJf5qYN6 qIv6QuqXSL3UTf30QT/0RX/0Sb/0Tf8mDnskD3IhH3IiL3IjP3IcynV4++u3 wbXsma6P0ct3g8j3tf+OdbJ8f0o6OieI9feUvf3vYpwuaoApMaj4ZwYKbZJR sE3svUxQuqEEh1TjxBpE1CVrS1Eu/lxhGo4ysaY/aByHFC8flGhno0xPrO+V C1CxLQ+lW9OwXzMWJaqJA/VE3pB64gcfpWwc3FaE1rvK5DWTnrEKHLrPEx0T hZ5p8UituE/u+Z3HeZ7t2J792P8nY4u8zE8d1ENd1Eed1Evd1E8f9ENf9Eef 9Evf9E8OkofgQj7kRF7y2c6Cn+T4W6+vDH7E+HEcOZ4c16HjPLz98dvP1Sr8 cD1f69eJ16Ny8V2YJ74O9Me3EaJ+sHVCjH0yumJ70ezXAFPVYtR5t6A3tBWv RXbDxiwL6gaZcDWNRY3DbiQ5RMJNzJcdRjl45NH9SHZpQH1IH14sqsCVOBuc 8w/FaV67iQyQz+VqMN+F2A12OGDogi/9fIC9XnhHIWry5GbU+3SgzbcRtZFd eK0gHJdCDXAmykLUIqIeid+IMzFmol6xgMNTNnLP7zzO82zH9uzH/ozDeIzL +MzDfMzL/NRBPVJXiL/UeSXOFi8VlUr9yS710g990R990i99q+tnCg7Zkge5 kA85kRe5kR85kie5ki85kze5D47BcM3y99h+rlYZfD/iScNdeNvpObGunzDw 7vZpeN/zVpg+dg80R+nAcJQxDKcvh+njU8Q6/U5o203HNq2noKL5ENTspmDr 7rlQWf84DKbcC+W566C16G5YLR8B20UjoLV4KfTG6MF4tAYMx2vAYLQmNG8S 9cet+tj7mCV6DR3wnqU9Xjd0xQl7PZz0WYj3fCbi6C5VvGnmBJ97RZ1zo2g/ TvQfaQjNxY/Cev4I6Cvdj417HpR7fudxnmc7tmc/9mccxmNcxmce5mNe5qcO 6qEu6qNO6qVu6qcP+qEv+qNP+qVvFY1/YrvgQB7qTssEn9sEpxWSF7mRHzmS p+Qq+JIzeV/3/szhmuV/bBv4Hdj3l/G9WFt//MXbUE7WgJpiKnSy7oTlfgeo pC2AWqqoL/KnwSjUAk7+5rBK2AKTfD1oRz8JiwIrGIY+DYNoY+hmPCb6LoRV 5SIENc0XnzsRULcE/s1zYVJ6N4wzdsAoNRd6WaJuybkfWpm3Qy1trrwOoiry 2Fb0X1sZfGZXQMNSRHfch301uvA+tAR+jQ/g0dwKuef3GHGc59lusA/7Mw7j MS7jMw/zMS/zUwf1UBf1USf1Ujf10wf90Bf90adJvq707eRvITmQB7mQDzmR F7mRHzmS57XnfA//HfhLt4F7Vr4/ewknVx9A940J6Jv8y/fW/2S9Mi4d7ZNT 0Ddt78A97GloWBCB3lsScGhjKGqVDiHH1gU5O3ejSb0DCbbRKLXah/0alSh7 LgFda6PQ9kQ5jj+TgiP31OLEA9V46YFy1N9fgENKB1G3qQwlmhnYrxODUrUk VA7cQ/KfdUUuqjZkoXZDBY6Mz0XLrL2ovccXfTfnoHtmLNKqH0D3jFj5ncd5 nu3Ynv1k//+ogfJkPuZlfuqgHuqiPuqkXuo+JvTTB/3QF/3RJ/3SN/2TA3mQ C/mQE3mRG/lJjr/n+srgWIhx5HhyXDm+w/ey/DnbT9Uq/G1Uo38zGvxb0BTY hAafdrxZWIhL+3zlM7MQE4AXd+xCpcMedMZ2o8q/F1abDiLIogKBDofgbNcG T9tUTFu7C3ZWvtjlUYiUPQdR6tOLY8E9SHWsh+GaItS4N6A5qhFdFfE4ExaI M/I98f3vPLkSFYCvAn1xaKBuqDPdjfOBHrjM+9EVDagN7ELN3iZ8lbkD34aZ 4lykGc5G2ODMvq34NtoQnwVbwuFpC7nndx7nebZje/Zjf8ZhPMZlfOZhPuZl fuqgHqlL6DsTFoSuygQ0721EjVuD8FEo/dAX/dEn/dpZ+gr/LvC0S5U8yIV8 yIm8yI38yJE85bPIBF9yJm/JXfDnOMjfqg3XLH/p9ou1ykC98prBTrzisRrv +U7E+3umy/eNvOsxA9ZPTYaGWMcbj9TDttnrYDbvRujr/gOqTrzGsgLbtTWx zSEIT+nZYb25qHVv3wnTEarQG6sL/WULYLN4BKzFZ/vS5dAdow+j0QP3oIiP wShNaNwsYk81RMJKa5ww3oF3zZ3xkrkDTritxPMWjnhexDWZpgX9UVowHCtq nZFGMJ/7KGzvEHE3PwhVz4fknt95nOfZju3Zj/0Zh/EYl/GZh/mYl/mpQ+qh LqGPOqmXuqmfPuiHvuiPPp/Ss8V2h0Aoa2lIDry2Qi7kQ07kRW7kR47kSa7k S87kfV29Mlyz/A23gXd2XxHrtYHPT/1O6czFb2Fw0BmmeXdAPesuqPvfD7u0 dTAv0cP2pFXYEfAgdq7ThrmvMgzyNsJIrOvV05ZAL28BlLNXQidZGwYZ4u9T +h2wKV+GkOb+ax7+jSugmcvffd0O/dx7Rd3gCb30fBhkOsnrE+oZ06CZvUDU ISuue8Yw65CI1vux72Q0/JvugW/9/aJeqZR7fudxnh9ar7A/4zAe4zI+8zAf 8zI/dVCP/0A+6qRe6jbMWC59bBd+6Iv+6FNf+KXvnet0sCPwn5IHuZCPmuBE XuRGfuT4oyPxo2Mw/Hfjz96uXOhn/UHQcXSO2Ie+W3/D/d3jUvvvUR/Lf8tP l9cCjo9SoGVKqqgFotEzStQ9o5NxdHI42qdmovBxdxTop6FNtxQt4YY47LwX ycapKFltj9Z7wtA2ogxHxySgaVoIeib5o+9GEXdUgljLJ6FnNO8lz0TbzHy0 /aMKtRsrUKGViv3aom5RSUWlqC8O/LBuWZeN6m2i/Yoq1C/zQuusWBy7JQtd M+OQVv+Q3PM7j/M827E9+w2NI59jLOIzD/MxL/NTB/VQF/VRJ/VK3UI/fdAP fdEffdIvfTeHG0gO5EEu5ENO5EVu5EeO5Nk3wJec+wa4/+qaRYwnx/WDoBPX jffw9l9u8v67K1ff6fnup5dQFX0MrWIt3CHWxJ2BLeLTIZ9rdTSkBd0hbajz ELVBbh1ORXnh2C5vHN7pjXjLXbDVCYWTewF2GybDXC8WviZ7UOPqg3qxDney CoaaaSBUjePxfEoFGuOzUB+vwKGo/egRNUqaUwP0VpaiYk8larPz8HJhDr6N 8MTpAH+cCel/7wrfR3JlbwA+9fNGma4T9m3agU4zF1wQ6/p3ckrRXlmK8zGG OBtmhXN7zXEmwh5fJW3DhRhtfBok6pVnjcXeSn7ncZ5nO7ZnP/ZnHMZjXMZn HuZj3rMDOqiHuqjv5cJc1GUWSN26T5VKH/RDX/RHn8+nlEvf9O9kGSx5kAv5 kBN5kRv5kSN5kiv5kjN5kzufX8Zx4HhwXDg+HCeOF8eNW/84Xhm+r/JP3H5V rSI+J/muRANndO9Rwds+U/DBHr4f8Xb8230W7B4ZDZXpT4v1tz50xmvDasEI WPxzFjR2zcYG5yexxSARW/S8sXGVAiYP+2PrM7FQWeAMo3Em0L1JGxqL5g7U LDdg67xHoTvaEIZjRN3B53yN6a9b9EeybtGC5QxDpK+xxElRcx9zM8AbQY8g f+sOaN+iAyPRx3CsOnRGmcBg5jOwmz0Czlvvg7bXg3LP7zzO82zH9uzH/oxz zM1QxmV85mE+5pV1yoAW6qI+6qRe6qZ++qAf+qI/+tz4rEL63mKYKDmQB7mQ DzmRF7mRHzmSJ7mSLzmT98kfe4flcM3yf3G7gutrkssD6+Ff4n0BZy+cxfkL 3+Ldj7vR/l4Zat44Ds+8XXAs04NxyS5Y7FOHSvgm6Baqwj5XGboKM3g7aGG7 rimM8zdBO3M+1NJnizX9QlEDzIKBWOM7xmvCLPMfYu0/B3aVS+X1Dn9RE2jn 8V6SxeJzB7QVt8Mg558wTfeBVVI6jDNMsfsw64a58K+/8+q7W0Ial8Kj/j5E vRiM2LZ74FnX/3sw7vmdx3me7QbfocL+jMN4jMv4zMN8zMv81EE9/gPXY6iT eqnbMU7U/llPST/0RX/aWfOl323CN/2Tg+QhuJAPOZEXuZEfOZInuZIvOZP3 z46iGK/vB8bv+lpm+O/Nf7Nd/R1Y50c4Mpm/IfrBPSvjh9YkaVfXzEdHZ8hr AHw2b/c4UZNMSMHRCUnomJSCphkxaJ8ZjL6ZEahfEofqNZmoXZ2Ig1qZKLVM RurOQNTa1KLCzwwZnjYoVsmW7ydJtt2CmiftUb8wEjUrAlG42ga1E3NxYmQ2 jo1hDcWcqWL9nyxqgmT03ZaD+kcPonJ7EUrU40UdEYvS7Wn9dcvAPS3ymcNK ouZQLkb1P/3RS92j02Wdkt78uNzzO4/zPNuxfeVgnbIut79OEXEZn3mYj3mZ nzqoh7qojzqpl7qpnz6kH+GL/uiTfumb/smBPMiFfMiJvMiN/MiRPMmVfMmZ vOUzoPlbO6H7yNVaJu1aLfPDMeS4ivE90zn8u7DftIn/7lyRH65nv8flwc8P mn321fdoTRK1SUAtaoM6UezXhQLfVmR5lCHEsRL21l3wtimDn1UsXLyS4L8r GS42B+Fp3whLgyJY6dXi+bRCfL93N95ydMGBrY7y/o1A80hE+JSiO7kMT6qH IHpPEboD+1AfJPLsLcHBfaJ+T8lGtmcZdJ/NQ0JEIjqiO/CvfAUuhHvgm0DW LL791zUC/XA+JABXooJxytsbedpOiNtighOuVnijLQ+nsjPxXbA7zgR64auQ EHycaoRv95nhs2BzOKwywKfBZuK7uThuLM+zHduzH/szDuMxLuMzD/Mxr3y/ vdBBPdRFfR3R7UJvgtSd7VUmfdAPfdEffdLvE8J3j/BPDuRBLuRDTuRFbuRH juRJrpKv4Eze5E7+IY5Vcjw4LhwfjlOvf60cN47f0I3jOzjWHPcrVwaeZzlc y/zu7dfWKrJeEZ83jO3RY2uLtz1my+docX39jtsc7HxgBDRnrYCeWMfrTBB1 xbLZsJ8/AtvNtmCdugtUlPZhrbENtosaVm2SHVRusxLr+HhsVQ2ExiP+UL1j N7bPvw82d4yAzaIbsH3mauiNMhK1gfrVOmHweose65aRGrCZZYV8refwaeg4 BGyYja2TlWA82lj+TktznB5UFy2D/awRsN+8CJoeK+Se33mc59mO7dkvcMMc GYfxGJfx9UZeu55yrVZRl7qojzqpl7qpnz7oh77ojz7pl77pnxzIg1zIh5zI i9zIjxxlvSK4km+Pja3kffJHxmK4ZvlztisD69dr/0b/8zy//17UI5fO4duL F/HZFy+g+1Qlmt5rxjtvtkHR6Ym0F8Jx7O1D6Hm+GIffLkbHp2/Bpy0UVsUz oZm1HKaZj8Ig5nHoZ8/FlkRNaOY/BbXI+2Fi5Q6LRCeszzEVbR6ApkKs7dMX QS1jDkyzHoZrrDrMsh+FsljzO1YtQ3DTndC6+q5IPq9rUf+969nTYJD5JJxy A5Fco0BcswkiW5cgsPGO/ndOtoj648AyxBU9h8jOu+Bd+w9Rr1TIPb/zOM+z HduzH/szDuMxLuMzD/OpD7zvnjqoh7qojzqpl7qpX00xR/qhL/pbn2Mm/dI3 /ZMDeZAL+ZATeZEb+ZEjeZIr+ZIzeZM7+XMcOB4cF44Px+lnx/3KtTHvnwXD f49+9SbWrZe/uoCTaw7I50n1Texf/8qahL9JGj1Qk/C9IQM1SdfEFDTOjEXn rCgcvTUarXOicHhpGLqm7MWxiZFonp+AA8+m49A2BZo2l6B8ayEqVHJRvj0B JWsKkezmi8w1oUg3yEORqwXKjVPQPuUAOsWav+qxnch51Acdd4QhwlQbRSvt 0bDcB9XzY9A3KQGdE9PRMzobx0dl4uioNHSNSkfz3aWoZ56NmSjWSJR1BZ/R xfvi5fOPn8tHtl00qldm4ehN6fLekJ6Z8cjveFLu5T024jjPsx3by36iP+Mw HuMyPvMwH/MyP3VQD3VRH3VSL3VTP33QD33RH33Sb9EeC+mfHMiDXMhHchK8 yI38yJE8yZV8yZm8yZ38OQ4cD44Lx6d74P0uHDeO3+BYclw5vhxnjjeG65Vr 28BaVNYkfE/n5ctynXrpZxmJdue/wTfnTqHjxXrsic2ChWsq3FxS4O/KayIe cLcNRKqfFTKjtHDIwwzPR1jho5Bd+GZfIDoCutAd1I5Xo9oQYncIviYHcETR ja+iQvCFnz8Sta3hYhaCvQ6iXUwB2sJaEOOeh5WGtmgPr0eTXwdafLvQ7N+O uuDDaE0sRH5YKtS1XJHmVI3OiOfxVpYCF0M9RY0QjNO8rhHij68j3PB1mAvO xewA4q3xbx99ZFhow1DnABJ3tePd4nxciBE1hp8vPkgzxbkIT3wc7ADHtRpy z+88zvNsx/bsx/6Mw3iMy/jM83W4m8zL/NRBPdRFfWnO1VATeqmb+umDfuiL /toj6rHSyFb6pn9yIA9yIR9yIi9yIz9yJE9y7QjoxNcxgfhY8H4+whI17uZi HDSR6m8px8XJ2kOOk9vOFDlurnFZ6HyxTo4nx/Xn/h2M86K/lrks58u1WuYP n5n/z2y/pVa59o73HXjFxBHv7Zkj32n4ocdUvLNnNlyW3wK9peOgO16swW8x gf6MB2G0aAbU5u2Gvq4CmvO8sUU3DM+Jtbv61miY3GIIrbu8oKTvgjXaNtis 7YttayOx6SEtWM+/CTbzRkBt2gZRGxjL6yBXaxbWDLyffowm1EfpYfOcOxHw 9EhEbBoLo8U3Y9t0sfYbqweDibrQvncS7GeOgInSZGx1nSf3/M7jPM92bM9+ kaJ/oIjDeIzL+IZD6pT+vOpSD3VRH3VSL3VTP33QD33RH33SL33TPzmQB7mQ DzlJXoIb+ZEjecp3RQq+5Pz6z4zFcM3y+7bBmuTqb4e+//l7tr///gy+kzXJ JXzyxXH0irVww7uN+ODtVjS+moyUF6JQ/3I8PnynDY2nGnDiw8M4f/YzfHnu G1z6/jww5F/SPhGf8Jf3wbNmKtQVfM7wQpjl2UA51RQaWauglXYrNhSow2N/ MPTsDWBcshbGKWbYmr0BupmzoZE+H6qKuTDJvA+2iaJ2z35K1Agz4SBqCp2C RVBP678HfvA+eFnjiH5eTXOxr3UTousTEVGfg+g2XUS0LoRf4ywkt6yFf9FK UZMsgE/dg/L+Fe75ncd5nu3YXvZjfxGH8RiX8WXtMXhff8YCqYN6qIv6qJN6 qZv66YN+6Iv+6JN+PfaHCP9qkgN5kItZnrXkRF7kRn6fXDdClyVn8iZ38uc4 cDw4LhwfjhPHi+PG8eM4cjy/k7XMmV8Y/8tDfl82XMtc3a70/xs7fxv0xpZa dIyIQ8+kLPn+da59u8Xat3FGHNpn96+N22aJtfKScLRPi8bR28R3sWZumpaA XrFWPjYxUd7T3XlbHlr/UYHG1QeQb6BAgV48qtbyOkWW/OQaROOAvtg/E4X9 j1qha045Kk2TUeBnjPpHD+HoLWloHZ+JiuW+aB6dh9rFwTi4NAildwWh9n53 1C8JRPHjnuiZF4iq5aHovDUJRyYnofMmBRqXV6F6UzEqV+ejcnOmfK5wsXYc KrYoULopBwp7P9QoiZpskgJ9I0XNM0to63tG7vmdx3me7die/dhfPkdZxGNc xmce5pN5RX7qoB7qoj7qpF7qpv7m0bnSD33RH33SL33TPzmQh+Qi+AyyIjfy I0fyJFfyJWfJW3Anf44Dx4PjwvHhOHG8OG4cv+6BGpPjyvHlOL+xpU6Ou7zG 8v/LX4efqEku/1Ld9t1pnPn2ND75+ixaK1tRVXEYReU98I+rgqmjFyISnZGz 2wYlLrtx0MkPL7qLNXKgD04HeOFSkC++Dw0GIrxwOdITp+MdcDrBBB+m2KEi qRZ1/g1ibd0NH/Nq+FkeQMfeLnyYnYjzgbthvM4fYZaN6ItoR2VSBpoCatEd 3gNVYzu473JFb/RBsb4/hCbeSx4o/tvo24nWsA5UhcdBWcsbe3cWoDn6RbyR lYwL4XZiXe+Ic1GWOBtlhvNRxjgXaYLTkRa4EmGIT0qjoHBvhvW6IpioVKM4 qhYXc0PweaamqDN88KG/L+zX6so9v/M4z7Md27Mf+zMO4zEu4zMP8zEv81MH 9VAX9Slr+ki91E399EE/9EV/7rt3Q0X4pW/6JwfyIBfyISfyIjfyI8ee4G7J tSKxVnI+HS98JtjjcpSHGAdPOR4cl9OBXnKcOF4ctxIXVzmOHE8TR085vkXl vXK8Oe4cf84Dzoef2y4P1zL/sf2eWkV+jO3xmoUV3vXtf2fkh55T8dbumXBe OhLmC2+A2vRNMLzJBOsWrIHWJDUYjtKV7+zRHWsK1VVRWGfkACVDV2x9JBD6 I3Sgti4WSho2WK0s+mhZQUk7EEpqrjB9dIGoCW6E9hS+z8S4/56UIbWDwWht UXOImmLJSLg/ciPe9Z6JFsup8F51M9TnLYLqJG3YLb8ZlvNGYr3GYig73ib3 /M7jPM92bM9+7M84jMe4Mv51tYqG1EE91EV91Em91E399EE/9EV/9Em/9E3/ T63MlDzIhXzIibzIjfzIkTzJlXzJWfIerll+43bl6n7ovQw/f6nkMi5et+at vbrmbXipf83bINe8oiZ5j2veCnzy+bU17+VfWPNekmveC3jluytIEutt/7oZ 0MtfCJ3c+2HquxGGyY9DI1Os/VOnw6TMFEaHTWHqZg6TSBVoFC6GVoYRLNO1 oJpzp1jrz4GaYh70FcuhnqwPFcWz0MqaBa3CJVBLH1qv8PnF87GzehlC+Z6V hvkIbZ2PvXx3S2MOIhozEdG0BimvWcHniCWC62bDp+Hh/npF7OV3cZzn2Y7t 2Y/9GUfGE3EZX1U+M/labuqgHuqiPuqkXuqmfvqgH/qiP5NIZenXUPimf3Ig D3Ix9d0gOekVLJTcyI8cyfPSL9Sal4fWmp8fl+PG8eM4NgzUmhzfa7Vm7dVa 8+IPas3/mGVXrr9fZui8+/9mG/jvzGd5r+OFZclomxrVv+adOWTNOz1erHmT +9e8E1Llv98fGdv/O6SjY/t/n9U5WoG2FWVo2FSOA9vy5PN7i1RSkK+ehppV RahZXYAypVzUmIr184oCtE/ch0x1A3SJOqHunhoUeDijwiwW7beX4NioFNRP S0LFXV44PC0Rh+7xxpGbc9AzMxItUxNxbDzX6fE4tCIQHQsCUPCUBzoWBqD6 ziBUbizBoe3pKFEqRPWq/eJ7FkpVU5Dp6IdsszAc3FCBtiXFOHJTCnrniLX+ C6vknt95nOfZju3Zj/0Zh/EYl/GZh/lkXpGfOqiHuqiPOqmXuqmfPuiHvuiP PumXvumfHMiDXMhHchK8yI38yJE8yZV8yZm85e/ixg7+Hqz/+hfHp7/WTJbj drXWnNlfa3J8Oc4c76Hj///qdvW3W7+iJjl7/ht8euY8nj/+Nqr2H0TJgVbE F70BF9tc+DsnwselEg5GdQg2L0SKTyRSA8ScSK7F18lRQDCf2Ss+4Xz/hy/O h/B+EX95X/k3wb74JshfvnP9bEAQzgQE4NPYABwor8Kh6Ay0J+6Hm0UlAi0P ozeiF72xRQi1C8XWLdWI33EY3WG1OLQvBw0BHWgL6kRhyD48pamFw1FxaAvd j5bwHDRGFqAhYj/qg6vRnBqPirgUKOvtQaDnHjRlleDNzFBcDtfFWVFHnOdz iiPs5P3yZyMscSHGAMcyctEcfAQ9YS1IszsEw7UVsLMpRkPpLiDeE194+8Lx CXu553cet7MpgZFox/bsx/6Mw3iMK+/XF3mYj3mZ/01FqNRDXcr6e6TO5pR4 qbsholj6oB/6oj/6pN+2wE7pnxzIg1zIh5zIi9zIjxw7BM9D0ek4UFEpOZM3 uZO/HIfg/ucQcHw4Thwvjpscv2DRRoznQTGuKf4FSPGNQogYb467j0uFnAec D5wXnB+cJ5wvnDecP7++lvn/5/6x312r8PqKWD+/bGmDl0Pm44M9U+T6+rVd M+C4bDSsF90AvTvuh6pY0xsvHy/W+WrQm2CCbRp50JlpA82Zztik5481ehbY JvY685yhMckGW7T3Yp2qJdao2EBJxQTPqTtBydwFupr3wWb5LdC9bTUMRhnB YEjNYiTqCdUpqtCfczNyVMfgC99p+MRrGj7wmoFak/Gwe3o2NOfNheXSm6Bs 8wS2202Qewvxncd5nu3Ynv3Yn3EYj3GNhtYrzCvyU4fUI3RRn9Qp9FI39dMH /dDXtgGf9Evf9E8O5EEu5ENO+oIXuZEfOZInuZIvOb/+a+qV4ZpFrhcvf3/5 F3+/dVmsQb8+L/7fItakL4i16aG3q9Dz/H4ce7sGqS9GQNHpgXf/1Yqm91oG flP0/NXfFF3+L35T1D8Ul9EtyprMV2MQ1HA7HCruw+ZEDehk2cC8cLP8PZVa +izYlahCKXU9dDMfhJWDO/Ry7oGBYiZUMrdAPd0KFlkPQ10h2mbMg7ZiGdal GWFz+io4HpwL06LF8nlarB24t6289q4V3nsSKH/TNRfhrYsQ3WKA2PoMpJSn I63HFsEtot6vvxePZZfJPb/zOM+zHduzH/szTvCQd7Iwz9C81EE91EV91Em9 1C31Cx/0Q1/0Z+UofCoelL7pnxzIg1zIh5zIi9wUgl/3mX6eQ6f4b/0t3+Xr fsv3/MBv+Vrk+HMecD5wXnB+cJ5wvnDecP5clrXMz8+FywPXZf5u25WB39P/ UduHES/go5gXcVKsPY6MjkPvpNQf/KYo/epvivrvj0i9en9Ez5gUHB+XgZan qlGhXIgDa/JQKdbbuRopSPDegwJrL5SaBSPZJBqlRvEo25CFjnEJOLQwGnmb zdHDOGOyUL+uFDlhxqh7rAx9I1PkPSD1s2NQvsIX5Q94oUH8+ejITHQvCELP 7bHiz1k4PlKBLtG3Z1Iyum9NwoGlIWi9KxLJrjFQWAajyDQM6Xqi7tmUiURX L+TpJKBC1CD1z1ag78ZsHJ0dh5dOPiv3/M7jPM92ibu9ZD/2ZxzGY1zGZx7m Y17mpw7qoS7qo07qpW7qpw/6oS/6ywkzkX7pm/7JgTzIhXzISfIS3MiPHMmT XMmXnMmb3Mn/2v1FqXJ8rv2WL/363/KJceX4cpw53hz3P2r7o+fkn7J99w3O iTXlZ2fP4YUTb6FarDVLq1uQWHQSztZ58BVrUV+XMjjbNCPAuBAZDqXI3VmP cs8ONPi0otu/A91RTWhNyUFT5EEcS23FtxlBOOfvha+DB2qTID/5vN4zP/nx FWtn8dnnj77Cg6j1akd3XAXsnWIQ4Z6ORr8e6OwoQ5pHPXIcarF7SwU6opvQ EJ6PFt5vEVyLvrhc2DibwdJZR2iIR1NgIdrCs9AWJv5uBeeJGioMjWlhaA8q gaZmKAJ2O6G+VIF/ZYXguzBDfJm6DacTNuPrRBWcjzDB6XhbtCha0OTdgsaA ZnSHtqEzpA37LCuxxSIa4e6p+JevL9wet5H7cPcUeZzn2Y7t2a/Jq0XGOZ1g K+MyPvMwH/MyP3VQD3W1B5YIneE4lBIqdbeFZUof9ENf9Eef9Evf9E8O5EEu 5ENO5EVu5EeO3fEVkiv5kjN5D96/82Of0wPjxvHjOHI8Oa4c36bIarSl5shx 5/hzHnA+cF5wfnCecL5w3nD+cB5xPnFecX5xnnG+nZO1zDd/9d+AX7VducJn D/wx94X+N7XKa/L+lR14wdwRR70fku9W/NBzGl7cOR0OS0bDduEIqKxYAItF I2El1uBbbt8Ci3HG0DYKwZbngmAwQhvKa4OhZOCI1bq2WK8SBsPR+tC6xxtK +j5Yq2wNJTVRs6ha4LmtdlhjZQq9HfdD65HbRa3w7LWaRXyMbjGE7twHYHbn CLTb3opPRc3x7p6pOOU2FV96346XAhYiZYMVzB5fDV2nldhkeovc8zuP8zzb sT37sT/jMB7jMv5grv5a5VmpQ2/HfUKXidRHndQrdQv99EE/9EV/9Em/9E3/ 2kbBkge5kA85kRe5kR85kie5ku8L8h2dv25c/tyaZfD3U5f+gFh//nZFrEPP Xb6AM2c+Q9+7lah6sxIvn+pD45E4JL8QheROH7z9Vjsa/92A9nfL8d7gPdsX /7x7ti8PPAem5lMg79UAhDXMhUu1NVSznoBl9uPQ2vskNHl9RTEfRsl3wdR7 OdRL7oC5vwH0fU2gls97Q7jWfwjKGVZQzdwKQ9FePX02tBRLsDrFEHalSggR 9YQB77vPWAjbisXyuVxBjdd/WGfIe1Ea5iCi524kJKxHZnEqkpqCRO2xAQ+V 1Mg9v/M4z7Md2wcM1Ck/jBkin3G8WOZlfuqgHuqiPuqkXuqmfvqgH/qiP/qk X/qmf3IgD3IhH3IiL3LLFfzIUf7++xfXOP/FsxIu9j8rgfOD84TzhfOG84fz iPOJ84rzi/OM843z7sov1LV/l+3KL1yb+tm+l/rvGz3d/qF8blTniFj03Jgs 7xf/yXu2/+Md9qk4xvbPHcChraJOWVWAfJ14JDr6I888FDG7/RGvk4YUrXSk eLogxyUYB+4KQfut8fKejtJH3FGzOBwnbk5Fy5RylLr4oczZG10TykT8RBwb rUDdzDhUPmmD5gcc0D4mB31CW+eCYPRMEXUV760Zn3J1fc77SHpvzETdwxWo VlYgVT8R+SYROGDtgYJdu1BkGIV4u1CUmCWh/k5Ra02Px1uvPYHuGQnyO4/z PNuxPfuxP+MwHuMyPvNcvSdE5Gc9QD2d84OlPuqk3sonbKR++qAf+ipz9pE+ 6Ze+6Z8cyINcyCdnZ7DkRW7kR47kSa7kS87kTe6S/9ifeU7YD56VwPHlOHO8 Oe6n2z/qv5/80u///8x/Mw//lG3gvw2XLlzEwewalFQ2Ia/iZTjZFMDTIQH+ u/bDybYJfkZFSLMvEWvPWpSKNWi9j1inB7SiL6QVvWGd6ArpEJ9Wse4XNYp/ O2ojK3EoToGDPu3oSm7CmYxAnPXzlvdm/HR98iPrY74bJNpbrN/z5Lr6SGgX 3PWq4OWSB32XCDSGuaIv9Rgqd9fDfKuYy4mFOBSfhxafbnGuEq3heahLCMQT +ibITnBAZ0IsWoL2ozUsW3zy0BClQNO+MHSEFaAjMgdmKqIOs/BEc4M33jio jdOxm3F6rwW+Tl2H8+Ha+CjPHw0RnWj24+/K+I6SJjSLdXlvZC1qo7PgZtoL A/P90FG2k3t+53GeZzvZnv1Ef8ZhPMZlfOY5I/K9Ua0t81MH9VAX9TXtC0X9 3ky0huYJ7TnSB/1kJ9oLf8bCZ5D0S9/0Tw7kQS7kQ07kRW5eLrlw16+SPMmV fMmZvH/T+Ijx5LhyfLuSG+V4c9xrI6vQGtAu5wPnBecH5wnnC+cN50+prGVq 5bzi/OI843zjvOP84zzkfOS8vPTdxevm61+98f+tl37wPjSuGcWKCb+ndvlv a5X++1ds8ZKxK1502IgPPcbjI8/pOO4wHfYrRkB/8TxoTdKG8dKxsF46Aoaz 7sHWGa5YpWaFjTp+0J7mJGoBR2zQ9cIafTts0nOEyuoIqN+sD7VN4VDStMda FQesVRU1i5ol1myxx7Pm6ljneh90nhGxb1sFo1EGMByrBu2xRtCcdi/cHh6B d9yn9T8HWHz4bvgP3SbhuMdKvGHhhFfNfBCT4os1kfPknt95nOfZju3Zj/0Z h/EYl/GZh/mYl/mVdt8n9VAX9VEn9VI39dMH/WzSdZT+6JN+6Zv+yYE8yIV8 yIm8yI38yJE8yZV8yZm8f8v4/HE1yxU5z35Yo1y60v8ekb/TdvHyd2h8tRsN 3eUo7wpHcHcI4roT8Pobbcg7novyNw/gzU9fxDdnvsDpC+eEr+9+Nt613/j8 sCb5/dvgurrk32dR9FIAvGs0EdiyATp5M7E9aRFMs02gm70cGhnzsDlxEQzT dGCQsxj6uffA3HEPDBXPyHvtNTLugFrOMlika0FDYQS17LuhlTFT3j+in2+A hMZN2F23GNaVixHRsmLgHfY//gmsX47wtrsRU7EaofUPIq7VATE1BbBz8ZB7 fudxnmc7tv/JWOLDfFYiL/MnNmyCgdBDXdRHnRoKY6mb+qUP4Ye+6I8+6Ze+ 6Z8cyINcyIecyIvcyI8ch3L9/duP1TI/f02E84fziPOJ84rzi/OM843zjvOP 87Chu0LOS87Pv8M2WKOdevdlfP31p0OO//ZrQIPPhnptXTV6bknE0SmK3/xu yN5Rqah/rBLVWwpRti4bKdahSLcJQjHvEV9VjAPKySjanoUq9X04oFqElnml qF3gi7LNJij+hz9ap8ahfoUXOsdl4cQtyai7twwF4XaoeyIfR28W8SeKemiU qBNEPdH4iDFa5wbj6CixThJr8LZ5Yei8LV7ULIqB6z1p8njfGLEWn56PQ5uF rjU5OPBcMTKErkrlVOSqpSPLPBLFZpGIcwxHzeP2eLVvMWoftZffeZzn2Y7t 2Y8+GIfxGJfxe8cPvmMmVeanDurhceqjTuqlbuqnD/qhL+lP+KRf+qZ/ciAP ciGflnllkhe5kR85Uge5ki85kze5kz/H4be+Q5LjzXF/bd3B6+bDb5uP1+Yd 5yPn5dB5+pdt/Dcp3jdw6QKCXOIwdX4u9DbXoMynAx2B7Wjza8OR4FYcCR+s SdrQEcR3vLegKYDv6Bh8T0dL/7s6RPu60MOojc/AYa8edKc2DNQqPr+5VpHr 4SBRr4R44pXQAhz07cLzkY3w0KrF0+tKcNzLA99nGaKrdB/qhFarTQdQFij+ DuwVtYF/BxrDS9EalIfOjBh4+O7GFj03dOb64XBsDJrD8tEWUoj2yGQcTglG k/jeIeqA9tgsWFvaw814J1oaAvBBMX+npY/PMtfjYpQ+Xs5KF7l60OLbKOqP /vfc10X0oD6iHg3lefh3ehWOp6TBdvMOued3Hud5tmN79mN/xmE8xmV85vmg 2Frk9Zf5rS3spR7qagrNR21yCNoiUtAaUiD10wf9bNZ3h7uvq/RJv/RN/+RA HuRSL/h0l+yTvI4Jbs8IfuRInuRKvuRM3r95jGTN4iPHuTulQYx7Lw6L8a8L q5XzgfOif640y/nSJN8F2iLnEecT5xXnF+cZ51tHQBvKxfzjPOR85Lzk/JTv fPmr/77I7XtcuHwOb32xH299Ho5Ll7/BBVz/zgFZu1y99vLz2x9Rqwy+g+VV w114y2ENTnlNwCfuM9HjNB6GKxZBb7QudEcbQWvuXXBcMgJaU+7E9kcSsFZn F5Q0rKC8Jhb6Yk2vvDEYa/XssFbXDmt090DrLjdoT+F96YFYo2KF9apOUFIV 59UsoLTVASvNVLHO7Z9QW7kAKrdtgPEofRhMUofqknFI2zgSn/pOl9dJBuuV jzwn4KSTKl7W24XjTnvQURGCg1V+cs/vPM7zbDdYr7A/4zAe4zI+8zAf8zL/ SjM1qUfqEvqok3qpm/rpg37oi/7oU/pdEyv9kwN5kIvkIziRF7mRHzmSJ7mS 76s/fFfkn16zXBkyp65tF658K+cf5yHnI+cl8Pf4nQv/vnKNGV8SiG16Bigq yMYH5+n552uqP6Mm+bnt0sDvTcuPv4m4w8EIan0Woc0LYbZ/kXwPorlYx6sk LYRW5jwoZ6yAaY2YO1kroJEzEwbRqrB2tYNO4UL5/F+N9HnQyZyNLVnrYZpu BYOsp6Eu2plULIF3qQacUtdBt2gh3GuXILRp+U/WLP58V2Tr/Yh+MRRutXcj qnUmPOofw1z3GLnndx7nebbzH/IOlh/WKszDfMzL/NRBPdRFfdRJvTrymQHz pA/6oS/6o0/6pW/6JwfyIBfyIacwwSuw5VnECn7lJ968juufs/32Wobz7kMx /woLs+V85Lzsf6bDX///lEHtH73Ri6okfRypK8Slayd/9TpxcG361cF3xZo1 CUfG/8Z3EYr2fAd899xC1GwuRfmaXGR7uCLfMBoVoj6oXt//XK0DqgnYbxyG Eo00ND15AH2jU9B3YyH2r7FHtYYaOkbnoPxhNxyZmCSvAXSNzEWNehJKvMQ6 ZdJ+HB3bXxvI6yzTE1H1qC0apibKd5H0iOOts6LQdnssjsiaZUgdNUbke6oc 1RvzUaSRhGzbIFSsKcRBpVwcWl2AEqV81G8oxqGNJeiovgc1Yl8nvvM4z7Md 27Mf+zNO05PlMu6192GmybzMTx3UQ13UR53US92yhhE+OoSfEq890h99ymtX wneZ8E8O5EEu5ENO5EVu5EeO5Emu5EvO5E3u5M9x4Hj8nnHk+HMeDJ0XvzwP r62xOP84DzkfOS+HztO/chv8+/rvt96GjX4BbNRasObpw4i2a0BveAvaxTqy zq95SF3Scu3950M+Lf6taAxoR01cNmp8OsXatf6/qlX618IBuBDghp6EarEO F+tgEX/rmiK073AF+D5Fb3+8VLgPjTl52KWVj33OOegKbUR9UCNaInLQGpqL hsh0dCdGYY2eK6L27ENncjwOp3mhOSpdrPsLUJ0t6l6xb4jdh/p0b3TEZ8JD PQXO28Xf23Z7fNz4CM4GmOJcnDVaMw6jJqAXzRGtaEjvwEupxXglsxDfpPng izgnfBfuj6883eDyqKPcfxfmL4/zPNuxPfuxP+MwHuMyPvMwH/MyP3XUp/sI XbFCXz4OZvoJvYVoErqpnz7oh77ojz7pl77pnxzIY5dWAZoEn5cKYyQvciM/ ciRPciVfcibv3zdOQ2uWehwW418TlyXnA+fFj82XwbnEecX51S7r4mbstWvE 6pWHYaPeDBu9Avz7zbevm6d//Tb4Xuxv8MK/NdF1fCG6Tq7D26dC8cm5LvH3 /NwPml/BT/1u7A+rVQbqldcMXHDSfRXe856Mz3wm45DjfdAdZwTD0RowGqkP jdlPwXrJDdBfeAusVgZhk64r1mw3xiaDCGhO2wH1O12xXhxbqyfW/mIdv1U3 COrTnaB6vxfW6e+EkrIl1qg6QknNXtQGVli3zR6PG+vgOccnoXnfDKhNVIXW eD2YLLgZtRYT8Ln3dLw3UK+87zYN73tPxNu7N+EN7R3oihQ1bXUE2gq95J7f 39C2l+fZTrYX/difcRiPcRmfeZiPeZmfOqiHuqQ+oZN6qZv66YN+6Iv+6JN+ 6Vv6F8fIg1zIh5zIi9zIjxzJk1zJl5x/V73yq2uWIb/z+sFahfOL84zzjfOO 84/zkPNx6Pz8q7fB+wPe+vpVKHrLkFd2EB4Bu/Hqq29cbcPnbPyVz3a6MvBb MLHihSI1Boo6Lfg3z0NY011wrl4KVcVsaMU+Dcu89VBJmwHD7BUwOuiPbWLd rpk6B5qFy2DmZAv92A1Qz5oFjYxF/c8L5rOAs+7DOoUVLAtV4FW/GKbl82Ef twkOSVuhV7gI3nWLEdL049dZghuXwrdR1CuvRmJv6z8Q0LgE2nl344bgMrnn dx7nebYLbvzPeoVx/w933wFeVZV9j6N0EURp0ps0G2AXCz1SA4Q0WnpIQhJ6 gPTeE9JI7x1CSwjpvZFGFQs6igo4KlKECEpZ/7POey8Fsc34nx/M/b7H4957 7j57r7UCe+eUS/vsh/2xX/ZPP+gP/aJ/9FNH7sk8UuG/iIPxGG9YJ+NjnIyX cTN+4kA8iAvxIU7Ei7gRP+J4WznO/H/x+9j2e8zdvt1WG1N39kJ/qfsPSz1+ fvlDef1BW8fy882ryAv3RFn0Fpw9U9Va3Sv2yvsdPJW3fjn/E5qeFvl01yjF ezn+0jvTo1HXPRaFbx7AwYUpSNxhg0z9QLkuPWd+Ig6qibz6/TTk6AQga0kU ChbsQ+3QdDR2F3VJ1ySUTrRHxntbUDzeFQVjPHB4RIDM7ZvF/dKnRP3jsxkF 83ah8ZFE4RvnpCnHWQaE4cDULSjqHYujXJfRMxaV/YJRMTBI/p1zsepFDt7U JRKV47OQM28vEs08kaEjao45afKd9PzkqMUjW9QoeW9los5V/P8nvnnO66o2 bM/n+Dzt0B7t0r7sR/THftk//05/6Bf9o5/0l37Tf8bBeBgX42OcjJdxF4z2 QPE4V4kHcSE+xIl4ETfiRxyJJ3HNUa7/J97EnfiTB/LxV94fqRhniZH8Uwe/ nG/poI/fEo9qL0b+Sd1Rf9Thzw/g3HxFLngb3v6Hke9QjKQtpVCbU4TF7xch dWsJjvqVo8K9XL73/H65Z5nMO6tRFBGBw56HRc5a+h/XKqo8+Cdne3yWlYS9 3g0wNtkPv3cscG7zDrT4CftujrgU6o+K0Hq42wdhm6UTGn0rUOR1ABW+nDuV hgq/KJQneCPcMRzTtTahxmcPSgKjURDtjMJIXxRHOouPIwpiXEUtEI9q7zjU ijjsLDbDQGcryg4H4PvDS3EhZQcaMw7jZMRufJ8YiCv+nrgRYI+bLva47rEd P/pY4Lq7Ly64OmHjHB35fd3DV3Fd3Gc7tudzfJ52aO9CynZhf4nsx0DHRvbL /ukH/cmPdUGJ8K843AWFEb7Sb/rPOBhPuFM4yhK8RJ0SpYhXxF3ktV/k/hUS D3f7YIkPcSJexI34EUfiSVyJL3H+T7lqq1lKcdgrV+qBuvgtzVBP1BX1RZ1R b9Qd9ZcndEg9yrWbD0ytojra/PnwS0PUHnkaNQ1DceTIGDQcfx1ff+2DT39I wo3bl371227VvLG/tVaR9YolzuhtRsOOxfjcrQe+cH4Z+5daYVUPrk/XFrm3 LrR76cB03GMwG9QJmm9txrwVGzFnqag7dDZgyUxPrOhhjEUaXpijLXL/NZsw S9MU85Z6YmUfSyxZ5InZWoq5Vmoaoj4QdcGc5eaiVrDANP110NGfhdXDBmHe 6FdhObUTPrV5WrkHsOJzXtQfZ51646TDAnyiZYWvQoXG8/1RJOoVfn8dGimu W8r7bHdeWa/wQzu0R7u0z37YH/tl//SD/ij8spB+0l/6Tf8ZB+NhXIyPcTJe xs34iQPxIC7EhzjpdVPgRvyII/Ekrg071CXOH9/vXZH/Yc1yv3le1A91RD1R V9QXdUa91dY/LfV3P10+KMfd2zexq8QON/AzLly4gAzxb0JmTCi+/eFCa5s7 d/77OeMdZa3y8y/i/72mcITav4Y9BTPgXP6syP8nwLl4AjQTBsE4fYnI2d+H hsjT16ROgH7YYiwOGwndhNEiXx8Ek6g5MNiwWdQEz0EzZphy7+BRck36iqTR MIlegvnxa2Gw+3msyhyMtbvmQC9K6EvUEC7FY2VNcb81J/aHxiM4Vwv+1S9C P2M4FkdNQk/3DPnNc17nfba731oY2qV99sP+2C/7px/0h37RP/pJf+Uey8J/ xsF4GBfjY5yMl3EzfuJAPIgL8XGW62YmSNyIH3EknsRVscb+v6/J9nqizqi3 jMgIqT/qMKzEVjR6MOaCdTiUfhOxjz48isPJW3A43g7//PiT1ib3XVPABzie 2XIbXxhW4shj4Yp3rfylWoXjF9E4+mQiiuflIWazncydc0QOnT0/UfF+RrVU ZK0MwQHtQJFnJyN/+n6R08fJfJq5fZrIzaufDkX+KG/sfs0eJaM80NAlEfW9 o3DsH3HIfTcaB113oOLJTDSp1pOL3L+pawKqhnuj9GULFPCd73IteSyqngpF 5RA/Rc3Sk+9NjBK2RM2xNAvRlq44ODdd+MV31aeIv4t6anEaCl7LQ91TwWgO eEp+85zXeZ/t2P7g3DT5PO3QHu1K+6yTRH/sl/3TD/pDv+gf/ZS1CsdWhP+M I1vEw7gYH+NkvCUjPZD5qr3EgXgQF9pW4BQncSN+xJF4ElfiS5xzlDUL8ScP 5KO++1+sVzhOJPinDr4wrJK6kBtg3OdHsb2eqDPqjbqj/lqb/x/8+/x7h9yD SThXWFgLW6N9OBXA+V+l8DQqwrvvFMBoOX9nXoYmkVeWchylQ93CeWCiVtm5 G4d89uNIRPnfUqvIdzZ6ueBnkfdfSPPHSrMsnHB0RMnC9fhko6gT/Fzxo5to E+iCY8n5yLCugImhA0qSAuT8rgqvVLlOpdwvCfuT7XA0KBXaBg7Yut4DxwN3 o8wzHUXBMShJNUBprAWyE9xwMNEeByL9UBDni4q0JPi7B2ODkTeOVzqg+agj fgp1xE03W1wTef81d1dcdfcQPnriipc7rvqb45qPB771soKN2gL5zXNel/dF O7bnc3yedmiPdo9X2st+2B/7Zf/0g/7Qr9I4C5Sk6Ut/6fcx4f9Waw8ZD+Ni fIxTrsvh/DGfVIFDoMDDUeJCfIgT8SJuxI84Ek/iSnyJM/H+T/jqULMIHVAP hUIX1IfUSWttSx2VSz3lO5dJfb37TqHUG3VH/VGH1CN1+WDuEab4HaLIMHHy K1PU1g1B4/GpqG+YgPrKfqitGoT6xkk4+Zkxvvw+CjdvX8TNe+bnX/j2Ko5s 9cIZ1iom6//9/NeQ77i3wqf61qizXotjTm/gC9NN2LdoLXR7iFqF+3aJ3HtF z5XQHTUS64Z3wqK5czBX1LtzNMwwZ4kJFqxyge5Aa+hMtsNc3Y2Yu1Lk/tpW mK9rCa2ZXtAaaY8FK+0wa5mJeMZczrtSkzWLJeaqm+DtNc7QnvUeNIc9Dd9F vfAvp6fwdbua4/yOp3HWYSCObFyDj1duRG2QOypyRO29201+1wZ5yOu8z3Zs r3qWdmiPdmmf/bA/9sv+6Yecpyb8on/0k/7Sb/rPOBgP42J8jJPxMm7GTxyI B3EhPsSJeBE34kcciedxgSvxJc7E+z/hi3yTd/JPHbQ/qBPqhbqhfqgjqSeh q/rGCUJnU6TeqLs7reN2D97PiGo/rtzT6ThwIltxTXzyKg4gxNcBWfvicPtn 5c+Eai/z/4pfivGcX27dhu3+UMxLfxWepqPglPg8nCrHw6d0PDxLJ8Bwj8jn d42BYeg8rEoah+VJw6HnPBFG0ZPl/r98l4lu+nDoO1nC2FcXWqmcU6V61wnf sTJC5PTPQDtpBkwjjWF8SA1Wh56BZtRMLIjWg0HmGDlWwr46zAcrHYvwkjfh mTgFelmjZR2xNGYSurtnym+e8zrvsx3bdxifEfZol/bZD/tjv+yfftAf+kX/ tFTvZqHfwn/GwXgYF+NjnIyXcTN+4kA8JC4CH/ZFvIgb8SOOxJO4Et+7/8Wa pf1e+NRV1v44BPs5Iq/yQOtPx0GhQ+pRtV/Zg3d0/Fk+e7IMu90scLQiEldb rre2aT83564yF205egnN/UV+2+MP1tP/5kfUA71SkLo6FLF6wR1rlbmp2Ltq J7KWxuLQvAjkLktF3eSDqO8cKXL9eFT2C0PpRAdU9QtBdS+R57+2EQenbUQN xy3kHKVI1DyWjtz1nsjWDER9J+UYS09FzVLfJRm1g3xRNsUU+QMilDVLHOr6 hqF6hJdoF6tYV/JYInZrRiJdfxdyZqUhm+MmohbJWSz8mX4ITd2E3ad3oj7g afnNc17nfVmzcBxGPMfnaYf2FOtkYmU/7I/9sn/6UTbVVPpF/2StIscvoqX/ jIPxMC7GxzgZL+MueHWjxIF4EBfiQ5yIF3EjfsSReBJX4tu+ZiH+qWtCJR/k 5S9zKfinDqgH6kL++9ru976qcW0e1BX1RZ1Rb23Hv7ce9//7ofz35PrVy9iy PgMFTpVyrk6jT4Vcf2CpU4y33i6A/Zpi1HiWod67QrkWQeSgrqKtdwFyguJR G10iclWPv6dW8VS8X/6ahy12WPij2sYFCHZBxtz1+GqrPW74uco9d38W9z+M ykSOdy2WrPPBwWB/FEW7i/opGpVc6+Er9JnojJoAoSO3BLy2yhyHPeLlWERR uCsOhwagIGoXioP2oHJPLE7FhuDjtGhcCvHBnUh3VJtZwWfxJhyr8sGVzEWi /liLK0GWuOK3BT/62OC691b84GeDK7uW40agBb73MsDWOerym+e8zvtsx/Z8 js9LO8Ie7dI++2F/7Jf90w/6Q7/oX26YiCvcRfqdJ/xnHIyHcTE+xsl4iwJj UBTjLnDwE3h4S1yID3EiXsSN+GWorZd4ElfiS5yJ99X/gLOONYuH1ENOUAJK vAsUOnFTrGGhfqgj6uktUQ9TX7yn0Fu51B91eE3osb0+H7zjjvSN/ys3f2WO uqr+ONY8GY0nX8HRxhfQVD0GjRWDUFs9AEcbXkD1qRn49Ctv/HCrEd9dvo2q LQH4p44FPjHegE8MLP/9OUaGivX2H+pvQfN6PXwg7HxpsgEZIs/W7qbIu+V+ Wp31oTPkNViO6oTF776D6TqbMXeZKeYss4baivVYNssVun2tsFDHBbNF3q+m p7g/e/UWqL3sicXTPEQ7kf8vM5e1gVzXrhzXeH8Z39HihXeHaiNp0Wr84MF6 5SlRb/RXfvriK7tROGa4GZ+stUXlfvGzuW87SrM85TfPeZ332Y7tVc/SDu3R Lu2zH/bXOs4j/RD+8JrwT/op/KXf9J9xMB7GxfgYJ+Nl3Lw/XWeLxIO4EB/i RLyIG/EjjsSTuBJf4vyX19vfM3ePfJN38k8dUA/UBfVBnVAv1A31Qx1RT9TV saOTpc6ot9tQzTd+EPMuHsr/V278gMTqYPlrurvKOTp3b91AfX4BYnzcUV6R Jyo0xbjSndt/Zo+of//oUKtkh2Herhegv3c87Na+DQ3PZ7By9xiszx4Ln/IJ 2JA9BloJ47E2wxrLYsZCJ24A5sVrYt1eLWhED4R2/Bi5l5ZOwqswsdqBlYlT xfnQthpAWQfocF5Z4iSoJ5rCL38l7EvGYFniu3g33ABGmc/Co7StZuF7UzyK hyGwwQBL9qyU7zvRiR+BJcp6hd8853XeZzu291aO00g7wh7t0j77YX/sl/3T D/rTVlcpayvhN/1nHIyHcTE+xsl4GTfjJw7Eg7gQH+JEvIgb8SOOxJO4Et// Rs0i94ZT/k6LOiovzxO68kCD0NfdW4p6+K58xxekDqlH5ZP/33z6T4/2awl+ bPkFdSXxyIk2Q2PufrRu+aSaS3lLEfsFn2OofSQUjb3/jbGVXjE4/lgc0ibF IWKrIw6opSJnXlJbrbIySPHektmZyF7MvYSTUDRsD5q7R8q16MVjPXF4rC/K hwagsUcsSp8RNcObK1DdU1GvyPUqXaJQMkLkY4FbUDIkEc3dotvWuD8ehZqu ySgXtUHpq4YoGBwi141wrzDuJ8y9wxp6xKOuh6iV5vriwJIs5MyJRzZrEHVR L7yn2Ae4vmssGvoHo8H/KfnNc17nfbZjez7H52mH9mhX7k0m+mF/7Jf90w/6 Q7/kfmWqOITf9F/GIeJhXHJPAHGf8TJuxk8ciAdxIT7EiXgRN+JHHIkncSW+ qpqFuBP/iC2OSJ8YK3mp/8tz+2KkDqiHCz7HFXK5paw/lLUudUQ9UVfUF3Wm FN///dr6PzhUv8OOT61EqGUujnhXocilDOUif2z2K8e+HSXQml+EWTOLEGZd jCbfKlS716DUpQo5O1NQlXQQ12N8cN31r+8D9lu1ynWRQ2839kWwTRnuRPii xdsZaYtFvbLdETd8FO+BbxH9/StmJ6rCarHWYguSbaJQHZiOglh7lIbuRJmX +PlKsUOpbxxOBGTByswHWuvsUJMWgENpsTidHIjGIjNcSbLGj6HmuBG0ETec nXDd3QlXXJ0BP3eU2dtioVYS8pJCcS19qfDLFC2BhviJ73n0M8bl0DW4HqmG m/7mok4xVNYrhvKc13mf7diez/F52qE92qV99sP+2C/7px/053LSejQJ/04n K/yl39rCfytzHxHPXhkX42OcjDc/xlHGTxyIB3EhPi2SFxfc8BX1ynYHpC2y RouPs8SV+BLn639nzSL6ox6oi5ygFKkT6oW6oX5mzSyG9vxCqSvqizqj3qg7 6o86bK/LB/dQ1Cz8Sa/9aiMqy/uiuW48Go9NRvPxqTLvbK4R5zWj0Vw1SuSa j6Px6AJ8lqCNU+sn4/g2TZw0tcIHnAu2ZivOGFiLXFbUH6xd/uScI0WtshVH 1+virP1gnBI2vlq7HsnzLaDZjWMryncrynejLMO6IZ2waPFwvLfGAnOXiDpD U5Hzz1tpC53h27DsPWfM1Vkn6gIrzNLdiOnzjaCuawO9VwOxeIkDZi83aa0R 5vLD9SzLuEbfDvqLX0D5al2ctFqHrx364rwta5YBivrDaSTOGFvj47VbcSJn F0r2iZ/LLA/5zXNe5322U9QrA+TztEN7tEv77If9sd+5Gm21E/2if/ST/tLv WTobMXeFlYyHcTE+xin3OhNxM37isGjxCIkL8dFTvuOFuGmKeoU4Ek/iSnyJ M/H+0zWL4PETWaNYSX7JM/km7+SfOqAeqAvqgzqReqkZp9CP0JHUk9AV9UWd yf9ZHuhaRXEofod9B9GVTqLGapDXbt1pm/N29vLnyEyPxU4/G5z9Z9u8lzu3 //69zu6tVRZEThZ5+2CY7n4ea322YF7gaJGrj5DvKdHPGI0NuWOhmzwSun6v wyDudWjE9IXefmPoHzAW9UJ/kc+PhnaMyPVTB8PCcyX0HE2gnT70nlpgpHJ+ 2DDoJQyHTtISmOZaI6T8JejtexdzI/RhkqmYu8W18Y5FE2G6ZyC09hnDRNkP 6xN1Zb2i3lqv9Jf32Y7t+Ryfpx3ao13aZz/sj/2yf/rRoZ5S1lT0W8/JVMbB eBgX42M/jJdxM37iQDyIC/EhTsSLuM0X+Jl7b4SJwJO4Et//3zVLe518KfQT 6L8NGUJP1JXqUOmN+qMOqccHc2zlPkc7P2/dvIT8aDfkx2/CmU/rWnf45pye W5dvovmZJMW6lX9rbIXzrWKQ/rYTMuanIFctpWOtsixa5PmpIo9OE38PR9XC dDQ9ES9y8mjU9ozH4RcdUcv5UH2DUNc7HHUixy98YSMKx3igmfsRP64Yl2jk uMRKH+SbeuHIIyloeKJt7KCJNUs3UbMM9Ef5m2tEXi9ysy6JaOgei7oBwTgy 2B8lI/1QNNoLNW8cxv6lmchduAeFr+WgibVKD2GrewIa+gUp6hV+i3Ne5322 Y3s+x+dph/Zol/bZD/tjv+yfftCfpvbjG8Jf+k3/GUejcpxI1jEiTsbLuBk/ cSAexEXi01OBF3EjfsSReBJX4tu+ZiH+5CFjmpPkpaHnX1xzrxpjEXqgLqgP 1dwv6ob6oY6oJ+rqfnp7kA/VWNHHpz7CBsN01HqKWsRVMYen2KUc1Z4VaPYt R+T6YsyYWY4lC7Owxy0JFUG5qExPwNVdQXKe04/ef1+tssPUF4HWot+QCnyb 6Y8bIpdP0FiPr+2U9Ypoe93dGZf8Re29Lwtb3KzhaMW5ixko5Vr7ODuUhO1E bpwnSgLiURwciII4HyzfOgNNMUb4OWwDWkJN0LJrlqgnVqPFd63o37W13pJ5 t5MjvtkbjgjHSGjOisD+DD/cSNIR/lngeqAJfvI1w8Vda3A1eh5u+lnIOmXb nEWKekWc8zrvsx3b87kbiTrSDu3RLu2zn/b90o8WPzPh1ypcF/7RT/rbFGMI DZsZMg7Gw7hkfGGBMl7GzfidBA5b3KwELnskPsSJeBG3r20dkbDMWuJJXIkv cSbef1vN4q2Y90ZdUB8VwblSL0sWZWHGjDJEbmDNq9AV9SXX4Au9UXfUH3XY XpcP8qFaK8wc8pMLsThW+ywaq0eiuf45HDv5Mk6ceAVNdZPE9eFobJiHUwEv 49zGrrjg0AdnRS7+hdMzOGn3Kk5tnYdj69bitMl6kQ/b4Iz+BkXtYvjbtYuq Vmm2XolztGU3CDUWFjhvugFx89dhedf29YoOVvRaiVXD+8BswQDMWLUJc7g2 XdNajjXM1jbDsjmu0B7jgPkrt2HmIlPo2GyCno3I/TVNMG+JExbNS4GaNvcN NlPWCeaiTjDDvKXr8arJCmx0mIqvnfqhfv1qNFgb4mt71ixPy/ldH3mOwhlD UzS5haMkxxvle+1RkuWu+BbnvM77bMf2fI7P0w7t0S7tsx/2N7udD3M1zIRf 66V/9JP+0m/6zzgYD+NifIxTjikxbhE/cTCbP0DiQnyIk6peIX7EkXgSV+JL nIn379YsrFEMlTWK4JF8klfyS57JN3kn/9QB9UBdUB/UCfVy4sSrUj/UEfVE XVFfv9yjuwf5UP2e7tyPX6Dq6/oO19rPnb7w1XmkhEUgLSUK5y6fa73OdaB/ R5z31irzI1/CSpG/L4kWdWrm89BPisPM0AlYmThcruVYLnJwraQxWJk5CPrp Wlidooll0U/Acp/QXoIWtGMHQjNutGJsInoo1qS/CL1NtjCJnQmN+GeEjdG/ qlm4pl0j7hlRN7yJtWnrYJo3F0b7p8EkThf2eVNglDUcWhzTEG0WBU2HZcY8 aIi8XztuOIz3voi+QXvkN895nffZju35nFHWCGmH9miX9tkP+2MbxZr6jrUK /aS/9Ftvs62I4yUZj2LMZbSMk/EybsZPHIgHcSE+y+W7KEdJ3GYJ/PQTYyWe xJX4Eue/u2a52259MA/qJT0lEmlhu6SOWtup1oMo+6T+qMP21x6Gg66q6jL+ +cmZI8hP2oiKdDf8cv2ivP6N+1HF2Eqfvz62wnlOzNNzn3VFxXhf1Lyfjf3z RF2h1r5WSVP+3j8NGVphaFy2H8eeTEZ9txjU9QnH4ReccKRbIsqf2YnywTvR /FgSSkf4omqsvczd5ftM5LqPaFT0TsJhR2cUTBS59GOxrWMH9cqapbZrCmr6 B6Jy+gqUDfWTvjXx/Sf9wrBvuiUq+kTiaPd4FDyXjfKhGWjgvr89FGvgG/hO lPb1Cs97Ke+LdmzP5/g87dAe7dI++2F/7Jf90w/6U99uDIr+0m/6zzgYjxxb Ee0YJ+Nl3IyfOBAP4kJ8iBPxIm7EjzjKekXgSnxVNQtxJ/7kgXyQF1m3Pf5v rGPpoxhjoT54UC/UDfVDHbXu5yD3Pvk/EPd/cCjWNd+Bh18edtsUy1yydT8n V8X66CPeZajxqsZ2ywRMW7QV1s62+D5vNRBuJX+Hf83ZDS3MjcXnKudz/YWx ll/VKhvL0exejvyAKnyyOw43Xe0Rqb0B5x1EvcJ8mO8u9HDHT0Hr8FF6AHbu dMR2DW/U70xHuYeoWfxSURKzBWWJpsgP90ZeZAC+LHJDve178FMfhdsh5rju aY5LMYvwQ/QyXAuwFHl2u/clugt//J3QnCB+JgN3I21HBLTnhmJvzgbcStQU bUzF/bW4GKGLK7Hv42dVvTJbUa/wnNd5n+3Yns/xedqhPdqlffbD/tryfWdc F/78EKmJyzEL0SL8vB1iJv2m/4yD8eSHe8n4SmK3yngZN+MnDkECD+JCfIgT 8SJu5x2cJI7E85Pd8RJf4ky8/+2ahTWWeIa8k3+pA6EH6uL7w6th7WSLtxZu FboRP4ee1VJHxcp1LCqNUW/UHfUnfwf2ENQqbQfHWRU//VeulKOhbqTIMUeh qXYcjja9iE9Ov47qU8twLGgqbmx9FBddBuOC/SBc4BqP7U/h/Pbe+NKxN87a D8QHTpNwestcNG9Yg9PG1vjAcAvO6G1S1C7KeWMftR9XEbnzV45P4ZvtT+Nz p6dRu30JzhtvQYyaJTS6tKtXeog8o5sRVj01ERt0RuHt9QaYs9gcanwX5NJ1 mL3UFPNW2GD5C95QX+SKt9VNYRe9GWVn1BGX4IBNzusw3ywEC3TD8c5CA8zl ++OXi1pBc614fjOm6U1D9N7XcdV9HM7a9kLdtiWo26yNr+2ewr929EGz0ys4 vsYKHwaHoCpP6DZLUa/wm+e8zvtsx/Z8js/TDu3RLu2zH/bHfmX/wg/6Q7/o H/2kv/Sb/k8TcagvdJFxMT7GyXgZN+MnDsSDuBAf4qSqV4gfcSSetdvVJb7E mXgfbVezfNR+nhdrFMEXeSN/kkfBJ3klv+SZfJN38k8dUA/UxbHgqVIn1At1 Q/1QR9QTdaWQ2h/sFfQAHnfu3EDp2QNoke9+bKtA5PvGlWOojKqkPBux/p6o yMnD7V9+bm/g384x71errOA7HUU+vjRmKNalvwDT7ALMingOK+MV4w/a8aK2 iB4Jy+xRcMh5BSv834Rm0nAYxU/BapeJ0EweAa1Y1fiEyOuTnsGqYHUYb7GC TvoYaMYMv6deUX1E27jBWJowHitiV8MgfjnMsmcjLkcL9jmvQT36GaxIfRYm bi9BN0zUA/F8z+MI2BVNwcDoLPnNc17nfbZjez5nn/O6tEN7tEv77If9af2q flJ86Cf9pd/0n3EwHkVcI2Wcq10mybgZP3EgHsSF+BAn4kXciJ+JwJF4Elfi S5z/rppF8t9u7S/1QZ3E+XtI3ahyr9vt5hSq/qTuqD/q8OE9Oo6nXvigDDnh FmgoT0Pl4CQ0P6LIzet7/bW8trF7LCqeCkfOlG2o65WGPLUckUcnYe+qtlpF rvvgGvH3U5G8IhT16lk41icBTZ3jkD/GF4VjvUSOnoi63hGofzpQvr+k7oko ZL0ubLYf76Fvj8ajeFoYcm3sUdtZ2LgnD5e1jcj9q4f4ofhdfVSKGqLhkQxU DgxBzkuOKO8fjGph++hjUWjqFtk2nvT4b9QrKvusl0R7PsfnaYf2aFfaH6ro j/3Wt5sD1jb+Ey39pd/0n3E0tMOaccp4hW3GTxyIB3EpHOspcSJexI34EUfi SVwlvqqaReBO/MkD+SAv5Kex+198j04vRQ1HXVAf1EnOrnVSN23HA7pG5U8c qnX3BQV1cDDej0af6nvW1pcrz8vQ4FOLw7ui4BxjitnWuxHsHITTeSJfPbgV 34p/P1oC3PGLmx1aXBxE/itycTfnDmMXf6ZWafSqRJlLMQ77NKIpOgc33bYj VHcDLjg5ibyb71t3w6VAG9z01se53Y7YneQOfV1/FPgmojjCG/kxIheKtEVx uD0ORYXizD4/3Ag0wq0gK/hoj0Hl5nm4G2SNSyGrcC1iHq4EbOxQr3BM4vJO 8W9hYgbK3EV9G5yKfTtioKMWjPQDFrgbZSRyc3N8Fy1qit+oV3id99mO7fkc n6cd2qNd2mc/7K+tXnES/myQfv0QukL6SX/p9y3xd8bBeA5Fhcj4GCfjZdwF PgkShz2JHhKXm956EifiRdyIX4jAkXg2RR+S+BJn4v1naxbVGBB5Jb/kWfIt eCf/1AH1ECR0MUvow0no5PCuaKmbMuU6lnt1Rb1Rd9Tfg7vO/vePO3cVv/2+ crUCDUdEzVIzBg3VY3Cq6QXklxpi8Q5tOBrNQI5BF5xY3w1n7frjG+eB+EF8 vrMfgG9smQ8/ia/sH8cX4t4nziNxyuZdHNuigZMmonYx3ijnE30qcmK+B6TZ ajW+clCMRZzbMRBfOT+BUztm4pyJDWJminqls8i7eyjqlTVy7f0qaPaeiTXL n8dcy8WYzfeWaIh6Q8NKfET+rmWKxQs9sXyaP2assEJA9A6Uf/Imio+/j+pD 7ji8exuionfCfKutHMN4Z5E55qibYYaWJd7e8BJySsfgw6i38a/Nog5z6ot6 xxmotV2Ibxy74YMNi3DS2AV1WTFyzUr5PmdRr7jJb57zOu+zHdvzOT5PO7RH u7TPftgf+2X/9IP+0C/6VyP8pL/0OzBmh4jDGppv+WLxAg8ZH+NkvIyb8RMH 4kFciA9xkvWKwI34xcyylHie2jFD4kuciTdxJ/7kgXwo5nltlDyRL/JG/sgj +SSv5Jc8k2/yfta2v9QB9eBoNBPq27VQUGog9PKi1I3Uj9AR9dReXw/ToXif yi1Uf3EY1V9VtL6Lvv2hmK+vrFt+uYlDWVEI32qJypw9uHDn3K/s/dn/Y+/+ Rq2ipdzHa5nIq83SXoR12TGoRb8A3fi29Sccj1idMRJeZc/BvWIbjPZOgH7G KOiFzBM1wzgsjx3eLu8fIfN+ExtLrAheDO3kdnn/rz58V8sw6CUOgXriYpH3 G8AmcwGic5bD5tA0rE4SNUrWViyMflauibc+OArOJVMxLCYLLuKb57zO+2zH 9nxOPi/s0B7t0r7W/eZ/xbWrs4Sf9Jd+K+qsEa33GR/j1AtdIONm/MSBeBAX zdi2eIgb8bMqOyrxJK4qjO9Xs/z52vPXWqEeqIvwLRY4tCcKd35R7tlwn5pW 8W6Wu1J31B91+NDMBfuNQ66VVoZ5/aeb2L/IFUlLLZD3oh+OPpKE4/9IQuMT be8//KOxlfquCTj8kh1KBweh8R9xKJuyD/sMQ7F3aVRrrSLXVYjP/nkpSNEL Rt78FFQ+JeoTUQ+UTHBGVb9dIp+OE/lxFApH+orvSNR2S0LpWJGbDBN5uvKd Jaq8v0bk/Ye3OqLidVErPJrQIe+XNYuw09A5BTkT3HDkjVU4MsYOu6dvEn1G oE7UApyrxb83do/vEMvv1iuyNouXz/H5OuXfaZf22Q/7Y7+y//Y4yTorQfpL v2va1Vly3Ej0wzjLRLyMm/ErcIiSuHAMhzgRL+JG/Igj8ZT1SvuaReBO/MkD +SAv5KdetT/ZH9UpHO8R/FMHzeJDXSQvMZc6oV4UInow3qfyHx3Kn3Wuc95i nYFi50qUu5fdZy/aChS5FuNQXBbupmxGeZQD3ll+HDMXVCDCLQOlOek4cSAY DbsycCE9Alf8ffFjkCt+8bbFDWd7uUZDzk9yV9Qv3JdK1iqeHWuVYtcyVIjc Nt+tDh94Z8r7wSs34FsXkR97u+Gyvw2uBxjjhq8hLgdvQcmBQFitMUeKr/g5 2LULpf4JyI90RZH/fpwq2ILLSbPwo89a3N5pgY+dteCyYCSuBZrhpwADfJs8 U/i4Fte8lDUDfXJ2wtm0IJQEpaPSKwllXsk4EpSCXPtELF/qjj0HdYAwC3wT vhQ/xM9rrVe2t6tXeJ332Y7t+Ryfpx3ao13aZz/s75pqjy7hx1Xhz/eJs6V/ 1wLNpb/0m/4zjsvJs2RcjI9xMl7GzfiJQ8mBnRIX4kOciBdxI37EkXgSV+JL nIl3h5rFU1mzeCnqE/JF3hRrbOwln+SV/JJn8k3eyT91MGNBldQF9UGdUC/U DfXzq/f3CJ1Rb9Tdg7/O/vcP1Z60V66JmqVhBJqqR+JEwxs45z0KeVZD8cJi U7w+xwmrX3oFG6d2QrhaJ+xZ0RNVVk/is2398LVTf/zgJGoYh/74F8cm7Hrh C/un8JnTYJy0ex2ntixAs/k6NG5cgXMuPUUe3Eexl9Z2zlXqjU+tZ+JL022I e3cdlj+q3VavyI8uVnbThtarA0Ud+Tbe01qHucvMoaa1CXOXW2D2srWYp22N BWpxUNfagvREZ1RWrUT16SE4WKOF0n3uaMqxx9GCA0hL9cJmFyssNrTCG4vW YqXXABw/OQXf7pmNrzf1xnm7YTjv0BfHnd9Eg9tb+MLqfZy0CUZtrj/K9tqJ OsVJWa84yXNe5322Y3s+x+dph/Zol/bZD/tjv+yfftAf+kX/6GeV8Jd+03/G wXgYF+NjnDJeETfjJw7Eg7gQHxVWxI34EUfiSVyJr8RZ4C1xF/iTB/JBXsgP eSJf5I38kUfySV7JL3km3+Sd/K9+6VWph+fV1yLPcqjUCfXSVDVS6oc6aq+r h/W4easFR/91RHl2/5/t9nvRfvbNl4jZpA7/Fe+iKCcQ/2z5HLfvtr3f6O4f rAttX6vYcb1KFOeADWs31jAKGrFDYZTyEmzqPoN6/IvQiRsK7Xju76vIxZeJ /N2lbBKcMtVgmTUBprnPY9UhVxgkjRfPttUrcl5V3CCYxM2Csc0OOT+M+3j9 Zq2gnB+mFT8YaxNfxvw4Y+gnr0TgQV2sy50L/TxX6CZMgmbCCDgXjRWfqRgX t09+81xLXOd9g3xX2Z7P8XnaoT3avd/8rw79C//oJ/2l3/S//Tw2xsc4Vx1y kXEzfuJAPJYp6xriRLyIG/EjjsSTuLb1PVriTvzt/mTNci+3t+/+JPkvFDoI WPEeYjYuxpnzX95XN/dYkn9Sd9Tf/8qhWjvdUvstjj6aiIqBIu9esA1hpsbI fM0BDZ0y0cw9tnq1zWe6X60i8+xndiryYZFnN3aJQvkrkTionYjs2SmttUpb vZKMRL4/ckkaKiYcRFPXMBx8xQFHeineC3+kZxyO9AtE/RMRaHosGeXP2aJ4 0nbUdWm3Zl20Pdo5FoXjIlBi44JK8QznY3VYd9MjFvV9wrH/9e2o6p6AwulG yDR9D1lTHeV8q+pesagauBO1/UPQKGuSP6hXmMOLv7M9n+PztLNX2Nst7NI+ +2F/7Jf9t18HQv/oJ/0tHBcp/VfNY2NcR0R8RSLOsufsZNyMnzgQD4mLaEuc iBdxI37Ecb9y3Cq7Xc1C3A/qJEoeyAd5IT/kqeme+qtDnSKxjZK8Nwr+qYOQ tSbYPX8bKrjnmtBJS+13aL9Hw8N+qH6nHZfWtu6+9N79i11rkOeXhuqsVFzy 9cMt7204l2cLd/vDmPFGNXTnFSPdMQcliZkoiBZ8hJWhIS0Px0P24+PMeFwO 88alne64EeiAFhdH/Owm8mA3W9gZeyNok8iZvStk7qzKYwudqvFFfBqu+gn8 V6zH924if/bfJnPwFn9jXPOxwNXYZThTvhKbzHzhsz4ajf57URDpgMJd4fh0 vwdu7jQVubsOLiaImsXXBAhZj9g1k5Fl9joQugmXI9RwLUjUBZ6Kdyb+6OmK mz6OOJEQhyK/DFRyr2CfZFlj1O0U2nRMxeKVdshKWIu76UvwTfT8+9YrvM77 bMf2fI7P0w7t0S7ts5+b3o6yX8UYhvAjyBA/RM7FXeEf/aS/CNkg/b+YOEvG w7gYH+NkvIyb8ROHM+WrJC7EhzgRL+JG/Igj8SSuxFdVl8qaReBPHsgHeSE/ 5Il8kTfyRx7JJ3klv+SZfJN38j/z9Sqph3P5tlIf1An1Qt1QP+33Ny6V8wwV 6+ypu/Y6fFgPVW55qaUS1c2D8UHNXJxzGoMr9n1QZdoJWpPfwFsz4jHzXR8s Gv4ydJ95DObjOmHTS53gNaMLUpY+jnyz3vh4y1P40n4ALjr3xyXHfvje7kmc c+uKE/Zvo2HjKpzeOh0fOo+Xbb527IPv7LripOU8fGG2HfFvrlXUKz3b6hW9 7trQ7boKeqOmYoXNS5ix3EixN7HmJuUaelGzaBhisaYvNEzE/ykZ25FfvAl1 zZNQf3QssssNUZTlgur94aiLycLxogDk7bGFTYw5PJO5p/MEfJ31PL6xeRpf 2/XH+e2D8Y3d0/jAfSoqbfTRFC1+jg45o3yvg6hTHJX1iqM853XeZzu253N8 nnakPWGX9tkP+2O/7J9+0B/6Rf/oJ/2l3wXC/2UiDsbDuFQxMl7GzfiJA/GQ uHTXbqtXeirqFeJIPIkr8SXOxJu4E3/yQD7IC/khT+SLbcgfeSSf5JX8kmfd Zx6VvJP/t2YmSD1Ure0k9UGdUC/UDfXTXk8P68Hfaf9y+ycUnknG5z+cwh+9 T/Cu8uf/O5zF7j1+8FR/CzscN8GnMhAV35ThWkvbHtBt4zV3O1y7q3y/im1O GNQiXxK59VBoRCvWpnCvXs1Y/n0oViSIPLrurMjxXxT3RRtxbxnnQsWPhOHu sTDaxzUki2CYvgxrMkfBMN8bS+MmyHUk965b10wdhrUea7HefxU0UsRzv1p7 f7+6ZQi0ksbBNE4DOonmWLV3M9bl+2JNoqgX9nCvsmfhUDgFz8fvk98853Xe Zzu253N8nnY0le9U+b1+6Rf9o5/0l37fu08A42OcjFfGLeInDsSDuBAf4kS8 iBvxI47Ek7gSX7knsrw/SuJPHsgHefl1zXK3dTxEdVz76UdUCr59K/yxw2kz vBa/gczdvvhe6KK9Tu6rIeU7dqg36o76e9jHVuTB343/fAe3r9/Ch7OyUftY GJofFzn/o0nIesMFsdveR6KxDsr7RaK5UzqaWQvcO16gGlvploDDk21Rwf12 uyagZpg3qvuHo3jWIRzkXsZqHeuVg/OTEG8QhGx18e/0KweRzzUa49wU6yt6 sf6JQ/WgQJQNCsVRjr30jUDpVAvU9Y6W72NsW7cucu5OSchf6YU8dW80PhLf YQ8s7tN1rG8QCia4oOrRTORN9MDu2aYonbIOeyc7IPdFB5QMDkTVYH/U9wtB A8d2fq9eEffZju35HJ+nHdqjXdpnP+yP/bL/tnlVMdI/+kl/G7jG/ol2YzYi LsZXOsUCxU9GyLgZP3EgHnKfAYEPcSJexI34EUfi2aFeUUuWuBfPPCR42CX5 IC8V/UNxeIqt5Ou+9QrrFOHHUcE3eU8w0pU6oB6ahS6oD+rkw1k5UjfUz0M6 DazDoVrf/NHJj7DBIA11XtWt6+4V77GvRKlXPg6EZ+Dkrv34xXs7Lrt54idP O3yZ7Yvc2DRsX1WEd96twAbtYhR5Z6MmIhm5IbuQHRyLkpC9KPXfJ/KTZJxM DMVHqTH4NtUO29d7w8v2CGrdj6DYgfPAKlDuXIYK9xIUO1biWNZ+fB/giBDd jfjOxwY/KWsVrkn/PmoZfgyZj8+L18LfJQb2GmGoivdEblg4zhzwxU9hRrju a4rrXP8eqo0fEqbjRoAZvvU2wA71gfjGTeTxMUtwMWpJa73AcYQrge6oTE8T PogcyzdF1heyZvFORm2AyM89krDQaCviklfgbuZ8/OSlrFdmKuoVnvM677Md 2/M5Pq+yJe0K++yH/anmhHFM42L0UukX/aOf9Jd+03/Gcd1vnYyL8TFOxsu4 GT9xIB7Ehfi0+JlLvIjbdz7bJI7Ek7gSX+JMvIk78ScP5IO8kB/yRL7IW6mo icgj+SSv5Jc8b9AuwTvvVAj+C6UOqAfqgvqgTqgX6ob6oY7a6pUyqTPqjbpr r8OH+VDlmBd/rsWJ3FfxNWsPO9Yeg1Cs/yhWjemKRVM3Q31BATTf8IX2wLew ZkhvGI/sBMNhnbB2RCdYjXsU9u90RuzCbtiv3wfHtvTEBw4v44zZRpw33oRP jWzwkcl6HF1nghOb38dpu+dQ5/QaTq+zRfTUDdB6RAcGPZT7GYscfHUPUb90 XQON/m9DU2ci3jQxgdqSdYp3w7fuU2yOmeoWMLMT/9cccELJfkdUNL+Mxubx aKgfi0OFFijP8UXDzjCcdvTH8UPJqGlYCpPAJ7DGvi8cI15D49Yh+M7xKXzv 1B8X7Abjq219hGZWoaDaB2W7RW0ibLavV3jO67zPdmzP5/g87dAe7dI++2F/ 7Jf90w/6c6jQHA0NY6Wf9Jd+03/GMUPdom1/gGWKPc0YN+MnDsSDuKxWzgUj XsSN+BHH0+t2KHAV+BJn4k3ciT95IB/khfyQJ/JF3sgfeSSf5JX8ag96S/K9 eH4BFk7ZLHVQrP+Y1AX1QZ1QL9RNex09zIcqB/3yyqdovKDYJ+yP1jG0f59G wYeRMI9yQKCXO3YluyC8Zgf2nvLH2Uv/7PBMW76rGFeJPhIJa4Hl5sOjYLnv WazNGgODzNHyne+6aeKTMgzL00S9cuwLmOydDL2M4bDYOxbrc8bCrnCcqA0m YmPuSBglzcBy/zdhmf0sDJPXYEHYKOgm3K/2GIrVyS9ju4MddBNf+1O1g+K5 4dCNH4zFae/D1G8VTLzWQjd3DmzzhsGndBwci6bghcR98pvnvM77bMf2fE5X jqkM/5P9DZH+0U/6qxk79FfPMT7GyXgZt6aInzgQD+JCfIgT8SJuxI84Ek/i SnyJM/Em7sSfPJAP8kJ+VHXrvXUEed170h8RNbaSb/JuHmWPotORSnH8sX5U 95uE3qi79jp8mI+7vyiwOu9xFDWdguWa6nplznr8EfFvcZdUpL+/Hru8X0eK rh7KHo8XdUuqcs172ztPmrqKvFrkz4dfcER9Z/HccC/UDAhF46OxKJu0F4cW Z+Dg3KR2uXSKzKUTDIKxf77I3+floniyP4oH7URTd8V8L+7hWyVy9oZ+gSLP Ftf6RKLyTUMUi7qliWMmHdbNxKDy6Whk2+9AZT+uxe+4pqZO2El5Zxsqnt6F gucdUd09GdUvr0PJLEPsn+SOg5PtRZ3hgrIx7qh/MkwxH42fDvuDxcnrvM92 bM/n9k9yk3Zoj3Zpn/2wP/bbfq0I/aJ/0k/hb2P3jmMajIvxVb5hKONl3Iyf OBAPxT4D8RIn4kXciB9xVNSEKa0YE2/iTvwbH42RfJAX8kOeyBd5a2idixYt eSW/pYJn8h0meE9/31rqgHpoUI6xUSfUy3mPYx109LAf7dfd7+mw7p75bA0K gpJRGHII51Ki5LqFH7mWxN0FNzzc8Om+AJQmpCLH/SAMlpTjvbeL4W1ahpog kaPG7ERehAOKg0JR6pYu7GbiwM690Lf2QVWUFT5LD8GJxDAUp+ahMKAIhYE1 yBN5c8l2UTOl1OIrL08E65rgSoAJWgJM0eJrhkthq3Apdi6uu23BxX3aSEt1 hIGBJfKjQ/Hh/nCRo9vjGtf+Cx+v+m3FNb/1uBqmhYsJ7+JuqDUOWbyHiBVT cDfcHJciZ+Oqr60c25D7JCf6oTQkAxVe7eqL1ppF1B6+aSjzj8GiTXqIDzAE wozxLw9jWa/wm+e8zvtsJ9t7J/3KFu2zH/Yn9ywQ/V/13YFL0bMA4VeE7hTp J/2l3z8K/2UcIh7GxfgYJ+Nl3IyfOBAP4vKDwIc4ES/iRvyII/EkrsSXOBNv 4l6celjwECr5IC/khzyRL/JG/sgj+SSv3qblmC54Jt/kvTQhTeqAeqAuqA/q hHqhbvKFfqgj1RgL9bXnoV1n/weHfJ890JwQhI/t+uAbO1Gz7OgvctOBOLSm B4y5h+7IaVj2TiS0FmdD63knaPadC73ho2E6vgssRnWC2WCR7w4SnzGdoDdx GEyGGcLrBT3EzDRCnpYpTq6xxCcidz5rsg2fm2xGzWYDnHaajiA1NSzuoYnV vVZgdRcDkY+vkHtfKcZYlmPNzCGYZ70McxZbQW2ZYt0683k1Ta5fN8EGOzsc KwxFwR4XFFcuFXXASNQ3TUTTkbHIK7BE7f4kfGy8ESfsgpBYsA66Nr2x0Lgr Fpq9CYuX+sB/TlcUmT+Jszt64Xvn8ajP2I+C0g3YX7IJFXtcRZ3ioNgfTHzz nNd5n+3Yns/xedqhPdqlffbD/tgv+6cf9Id+0T/6WVyxVPjtLP1nHIyHccm9 xLhPAGszETfjJw7Eg7gQH+JEvIgb8SOOxJO4El/iTLyJe77AnzyQD/JCfsgT +SJv5I88kk/ySn7J87J3oiTv5J86oB6oC+qDOqFe7ir1879z3MXtOzdRdfYg fr6lWHf/h0+w/rij2BP5o5Z/IrxoEwLjbBEc6gTfveZwrTNE+rEINH9Rhl/u tM334e/vY+uj4VD0OvzKxsr3k/iUKd8FXzoebvyU8J0nY7Ct6BXEffUpQmte hUvxGHiXTVC05XsjS8bDpWQclseNhn6MPqzzX8D2neOxOmwCNBPvN24xGhrJ g7Fl10rYBlpDK20YtGL+qH5QzdsSGokfgC1palgQsA7G+4PgWDBf+DMUDoUv Y3LifvnNc17nfbZjez6npdyv7A/7oj/CL/pHP+mv9n3W2jA+xsl4GTfjJw7E g7gQH+JEvIgb8SOOxJO4El/iTLyJu2wreCAf5IX8kCfVQf7II/kkr+SXPJPv 8MJNOH39n1Izd+Q6lT+Ta92VOqsWerst32f/P/D/ijKEi2mfo/HJWOU8qPZr rLl3r6hFOqWhvN8uZKxZgfgdc3HoDVsceSwVxx7j2EBk69hKHucZ9Q9D3WA/ VKvmVvWMQt0TiShUy0b2vI71SvaCBCRx3YVaMnIWJyNJPwT1XSPl++Fl/yI/ b+oVibKh/jJPr+4h/m2eaIOqCbZo7JLUVi/J+kp8HolD3iw/5Gp7Kt4hqRy3 aOTa9u6JKBnjhpyXxP8Tw/3R1CUBddw7+dWtouZwxOHnnLDvZVscnGKH4ik7 5Br6ps7CxoCdinpFfPOc13mf7dg+VzyXPdkB+cIO7dEu7ct+RH+13RNk/6px IPp1WPhXMNMPDf+IV/jdulYkWsbF+PIm2ch4GTfjJw71ynllxIc4ES/iRvyI I/FsX68Qb+JO/MkD+SAv5Ic85cl5e8oxFsEj+TzSORXZb9ohznau5LtC8E7+ qYP69uNqSq1QN9RPez09zEfruvt8rrvfp1h3z3rFtQLFnsXID05AQWiDyHs9 FWvples9rorc9Ka3Ez7KFPdjhLbCdiNxaxkWzSnFgtnFiN9Ug4bwTBRFeaIs 1gXZOyOxyjAETbYmgL8hbnqtxi9hergaaoar8SIHy/LCyZgw1GZm4EDiUZwJ dEecySL84rMSN3wMcMPXSPhgiO8S5+L7uAX4fu801OevxxrtMNSnBuJmgDOu ubm2rQkR+fNVb2f86GuDq7s0cVnk/tw7y23haBx3Vse1VDVcDrDEVU93/Oxu j5MJMSjcmYEqr/vUGKxZfMTPgk8mKqIdsdzMA0lb7XErYBVsZqrLb57zOu+z Hdvfzw7tsx/2x37ZP/24nvI+jjstgfvCUdJP+ku/pf/cF8DDrRV7xsl4GbeM X+BAPIgL8bkSYCTxIm7EL85kocSTuBJf4ky8iTvxJw/kg7yQH/JEvsgb+SOP 5JO8kt8kwTP5Ju/knzqgHlTYUyfUC3WTJ/RDHVFPJW6qdfb7pN4e1nX29z2U /xbcvHgRp03t0Gy9Bh84j8Y3tr3x1fYBIicfgN26j8NY5LRrBg7DsmGW0F2Y Bt2lGdAcuh3aPeZjxfDJMJrQB+vG/wP6Y0ZhVbdVWNVZC9qPamF5F22s7qkD owErsGPSGkS8pY996mtRsWoDvnEdiF0Lu0F7wGPQHf0MVgyZAs1+6iIH1xU2 9LCym8jHhw+Buq4O3tHZIHJ47pdlJd/3zrx+2gITOLva47PySlTu9sDhMiPU 13Oe1XOiLngWjUdGoaTCFke9EvC5nh7i1o2GjsZkaG0ZBbNt02E1vCuM+iry dts3nkBM+ELsPeiFI/s8UFSxDQcL7VC+xwnFe13lN895nffZju35HJ+nHdqj XdpnP+yP/bJ/+kF/6Bf9o5+Hy42k3/SfcTAeRb1iJuNkvIyb8RMH4kFciA9x Il7EjfgRR+JJXIkvcSbexJ34kwfyQV7ID3kiX+RtxbDJkkfySV7J77Khllgz aJjknfxTB9QDdUF9UCfUy42LFzvo6GE/VOvua7/IRdO5+6+7/61D9Xvxb66c RNCHsQjPW4vEsI2IDlqPsGIdeJbPRkDVDlR9XonrN1qQ2BQF+8KXRH48Bu4l k8RnPNyLx3d8D7zIp31Lx2JL/suI+rgR0bWvyrUh7sUTZPu2ts/C/MAk6EWu hEHqEJgfXgaLPUuhETNIvqPkV2MX0UOxavdz8PbZjk1p70M97n7t7vNRvu9k 9QET6OVawCdvAdYX7EHoYQ24lz+HKaJe4TfPeZ332Y7t+ZzWn+iDftAf+kX/ 6Kdq/+J72zE+xsl4GTfjJw7uAg8VNgpcJ0jciB9xJJ7E1bNkQge8ib9sL/gg L+SHPJEv8hZQtV3ySD5jBK/klzwHfhCLby+f6qCDP6M1tqXOqLf/hXX2iu3B xM/M9Vs4/eZ+1D2yC41P/HrPKNU6hqbuonbotBu5z/ojynY2Ih1mInuSl7iW iWNd4lExMBiHXrRH1eAA1PQPVq4D4f68wmaXSFQ9m4XcxbtFPp3YWq/kLIhH 6upQHJyTjlTNCOw3D0HlkANo6BYhnlW8G7KuZxzKh4h8/YkI1HdOQcN4G1SM 3Ybqrim/3nNL5NTVXRNw0Ez8XzB+J5o7x8sagDn/0c4JODTOC+mLjXGkuyJH 57gH15EcmOiMsj4iPxvjiQOvbEfmrHXInmOKkj6iLuC4RkBf+c1zXud9tmP7 sj7R8vkqri3hOArXnwj7aaIf9ne0s2KsiH7QH/pF/2qEn/T33r3MGBfjaxRx Ml7Gzfjr5NqVGIkL8SFOxIu4SfwEjsSztV4ROBNv4k78JQ+MWfBCfsgT+SJv 5I88ks9I+5mS39yx/pJv8v5b65aoF+rm9JsHpI6op4f+/xfVuvsrinX3JS6V KHMvlb8TLwrKQK53Nk7E5+B6EPf9ar+nrQt+dOM7CR1xImMPsoMOoDSS728s hq9ZOd57pwir1EuQ65qHw4Fp0Nok6u7Ad3EnWgNX/M3a5jeJvPonHyP87KmH 20Fr0BKhj2/DHZEVVwkHs504lc760A6XQq1xI9xU1AYrcNNPBz/7auBMsRl8 RB7fsHULbnkr1oq37WvFHF/xnskrHL8I08JNUaPUbV8IzyXP4kbcEmFzFX50 d8OPga6oSxc1iVsKKn1/XWMo5nIlodwzA2VRbqiK3wpzw3TstNgIn/fmyG+e VyVslffZju3vZ4f22Q/7Y7/X3NxwMVwXPyUsgZfwi/7dEH7S3yu+ttJ/xiHj Ue2vJq4xXsbN+IkD8SAuxIc4ES/iRvyII/EkrsSXOBNv4k78FfPn1kleyA95 Il/kLdclT/JIPv0Er+SXPJNv8k7+qYNr7bEX59QLdUP9UEdyjEXoivqS6+yv PNzr7O89VPv/f3nic5zUs8Bn+hvRuM4cp+0n4Ru7J2SO+p1zf8QtFzXLcJGX P/s4tHrPhdazbli5Kh068yKwso8FNB/Rw5LnxkFz8EKs7G4MvW6r5VwlA+Uc r1VddaD7qLZca6Erzg2f1ILN9F6I1uiDkLldsHVKJ1iMFzXRqEehOfIJaA18 AUv7LcSKAS9Be/4zWLTSFWpLLTGP741cbir3CH5L3Qye4dtwKjoCtUnxyM+1 R22DolapO/ocjlaPRf3xkajJCcAxK1t4TO8Mk/7/gOHLg2FhuhAbtF+Blfqr WKc+EVpGEzB72wjM0VuLtds2IDLCHgfznVGY74O6vR7ym+e8zvtsx/Z8js/T Du3RLu2zH/bHftk//aA/9Iv+0c/8Q8Lf5ARRh0fIOBgP42J8jJPxMm7GTxyI B3EhPsSJeBE34kcciSdxJb4SZ/Eh7sTfQDl3jLyQH/Ik+RK8kT+deZGST/JK fskz+Sbv5F/WKkIP1AX1QZ1QL9RNex39rxw3bnPdfb3y7M//rLfPN/NOBGFb rQn8Dq5CUKAtQhOs4Vf5Hjxq1eGflwGvUjtx/q5iPKVkpMiRx4kP8+f2ObSo V8rGYmPuZAQ3ZCOm7mWZd7dvw/zap3QiNhwaAY2dog7PegfOjSYwyzaBRnS/ +9YIXLO+NGEQNqcsQoj/RugdGAeNyGFyXfofjbFoxw2EWtQSOBRrw610EPyr 5iE9Nxz++faYmr5HfstzcZ332Y7t+dwfrlkR/dMP+kO/6B/9/PW7YhS1E+Nj nIyXcTN+4kA8OtZzinqF+BFH4klc78XaXX7GST7IC/nxLrUVfKVL3sgfeSSf 5HVbjTEKjgfdl/8/PlTr7Oul3v4XDjl/R4R13q0ZNZ1C0PjkH7xrhb9P7x2J YyLvP/JYCg69sQOJtmpIM9RF6ZMxyB3hh+LnHHCk7y408J2OPeLk/CXm5HLu WI8YlEw/iAMLk3BQWa8cEvl1pm4YDs7MRLqRH+INQlAw6xDq+vC9jop3VXL+ 1ZH+gXJ+VbPItfMGByH7NUvUiDqhuXtMh/UXsiZ4NB6FLwYix0zk+4/Fi76V e251TkT+GG+kLDTCkS5JijEP5u+cxzbcD4WvbEXdY6mo6hOJw2M9UTJLH/nT VyD/xe1o8h4kv3nO67zPdmzP5/h8o3JeFe3SPvthf+xX8U6VGOkP/aJ/9LPD +NDjingYF+NjnIyXcTN+OT+NHAhciA9xIl7EjfgRx0PKeoX4EmfiTdyJv+SB 88kEL+SHPJEv8kb+Uo10kbRDTfC6HUdEnUSeFWNnv79/GHVD/Zx3O6pYC/U/ MC+sdd19ehVCrbjuvhIlbhXID4tDnl8VTkXuwc/utnKP3I7v4VDkpi1+DqhL LUR2YA6KomxRFRuOUu98rNctwqw5ZVi0NAVHHCyAGAORMy/ED/GzcCVcA9cD WK9wfbgJrgea4pqfKVp8jHEl2AspXs2wmH0QxUGNKPWpRF5kPY6nZeJYVCLO 7fHCpV2bcPz4dpQ4WCFXYxPgL2oT17Z9yNrnz3x34hUfR1wO1cJP6fMQqDkR ebav42bSMpFr2+FipC+Kdu1GxW+MrajqlUqvdBRG+iA3fR1qQ6Kx3TwG0+bp ym+e8zrvs91v1SuKOWFJsr8fRL9X3e3wc+JS5G+bJv2if5eEn/S3bT2+sj5U 7tvFOBkv42b8xIF4EBfiQ5yIF3EjfsSReBJX4kuciTdxJ/7kgXyQF/JDnsgX eSN/63WLJZ/klfySZ/JN3q/dW6t4Kvaepl6oG+qHOqKeqCvqizprr7v/hYN5 Jv/X/Cp5H07rGOFjE2uc0V+PZtON+HDHFFywexznRK76rchZw5b0hNFQUVeM 6wrNgVOh08MAOm/7QdMkE4sW2cB4zOMwF/fXjBkO7SFzoPPEaqzuqg/9brry fSF6PRX7gPHd7Kt7LceyZzsj2/BJXPUYiM+290Pj+r7Yp/c4Yt/vjB3vdMK6 iZ2gM6knFvZ/CW8uWIf39Ldiuoa1yOM3Yt6ydZi53AKh8RvQsC8BzXa7UHc4 GoW1s3G8ZgSOHJ2EhoaJaKwejhMn38PhoJmwmtQJ5qP+Aev+nbByzgvQELn3 8k1DobllCDQtu+OdzeMwXVP0s2At3tUwg6apNbb7iBolxkN+85zXeZ/t2J7P 8XnaoT3apX32w/7YL/unH/TnSPMk6R/9pL/NduHSf8bBeBgX42OcjJdxM37i QDyIC/EhTsSLuBE/4kg8iSvxlTgLvIk78ScP5IO8kB/yRL7IG/kjj+STvJJf 8ky+yTv5pw6oB+qC+qBOqBfq5i7+t+oVxbr7FhR9kowvLv3xuvt7Dzk/TJm3 nvj2c4SXroH/kfcRnqaHRK8tCIwwhWfDEgRUvwnXYjMEFpnCv2whfMpfEDXM KJEvj1WOsyhyaZ/ycdh68HkEH/JH5JGpcC68N8/mvKeJsC0YDtNMDejETUdY 80osTteDVoxqDta9dcFIaEQNF3XBaISHbYH3HqGXrKHKNee/U09wPljiKJh5 TYJf/otwLRkG34pR8K+dBsfMnbBQXwWHjED4102T112Lh4n65UXZns/dt+5o ta1Y804/6A/9on/0U/EOlXs/o2V8jJPxMm7GTxyIh8e99YrAjfiF5AZKPIlr a50ix1XGSvzJA/kIKFkLl1ILyRP5Im/kjzz616khvGQNjv/rn62a+St7r6rW L1Ff1Bn19tCPrdxRrOm803ILzYOTUN89+k+/x779GofyHklI1TRCsM9biLN7 G1kTfVDROQ3NTwajqW8I6npHoapnAmq7J8l3I9Y8tQelajnInSNqlrl8t2Ei DmhEYq9aOmKt3XFwQRxyF6aibkYOGnvGKeYwify6jOsuBgbKtRZ1vSLR+Lo+ akTtVM0xmK7t5lsp9wquF7VA1koH5E8JQpPyvSacS5U7yQ0HptijVLU3lmrt zWPJyH3WA4Vj3dHMtf7dElDZS+QUI91QOHsFPnfsgiLxzXNe5322KxzrIZ/j 86q6iT6WDw6U61rYn5zDxb0DhB/0h37V3/OulUZZNyXIeBhXw+sGMk7aYtyM nzhIPAQuxIc4ES/iRvyII/EkrsSXOBNv4k78yQP5IC/khzyRL/JG/sgj+fzV 2qQ/+rAOE/qhjqgnuVb4If/xUK13/pDr7g3TUOdZi2KPIhTsTEaJby2+TwrA dVenX+Wlqjz6Ot/L4eeKiuQiFPplojDUBwVx9jgRkQrXzfuxaY4lQl43Q7WV JRBmiZ9DDHExYhF+SBB1S4SoW/zXirzZHC0BRrjqvQ0tYV7IjsrFlpl7UetT hlLncrk+vNixGnlujSgIqcVnu5PxYa0LCnZ7wMfKDT/Ge+GHAE/cCHDCTRcH tLjyXYaKMSHm/XwH+yVfO7RE6OJ06DQ4qT+F7xJm4Cfv9TidGoOSYMU+xr9b r3iKeiXKGwdj/FASJWp8rwS8s3q5/OY5r/M+2/1evSL3NRb9nU6JxU8+VvhX 8rtwVO8n/WqJ1MVl4Sf9lfUK60ERB+NhXIyPcTJexs34iQPxIC7EhzgRL+JG /Igj8SSuEt8AI4k3cSf+5IF8kBfyQ57IF3kjfyfCUyWf5JX8kmfyTd5/UxNC L9QN9UMdUU/UFfX14f/QOvvWQ1mvfB67Gx+xXjHegI8NLXHGwArHjGzwyY5X cN6+l8hZB+Ibp37wW9Adhs90gtX4Tlg16lloPaYFnX7rsHyHGlb4zoKe+niY j3gUFsM6Qf/ZPtAZMQ3afbWxqrs+9LqshF53kT9zbcoTulg4qR9yDXvhe4cB OLejH/5l3x+XnFgbDcBZ7lu1qS+yzZ6AxxwdWE2fCuvNr2L6ppfxmsF7eEXL ALNFzZCR7IRPcmLxuZ7w1yUSRY3maDgyGE21E1F3VNQrlWNx+vRziAw3wPKB fWA9phMshzwC7fdfwqL1g6GxtgeWmPeGllVPvGMyV9QJmzFPk2tlrDF7yQa8 t8gCMzSs5DfPeZ332Y7t+Ryfpx3ao13aZz/sj/2yf/pBf+gX/aOf9Pf/cfce UFVdW9i2qaaoSUzUGHtvSUyixiRXU2xgFwHpKh2kCYiF3uHQQarSe++i1EOT ItZ0c0uS6027ydWYdpOY+P7rXQcQO97vH+P7dI9xxuHss/dacz7vVOZkr/KP 7XY4W5ks/aA/9Iv+0U/6S7/pPzmQB7mQDzmRF7mRX7XguH7eaMmVfMmZvMmd /KkD9aAuOyY/KHWiXtr71KH3jK3UkXpSV+pLnak3daf+jAPGA+OC8cE4Ybww bi73xtG9cgycd3/8q8HNu79VO19d+AiRx1Lg17IUad0mSIn1RFiYMyIrRU58 bCaCmxchos4AQc2OUCj1EaZ8FcHK6SKHnirz6ODWufAunI7seH1EHXsF/rJe mX39q3k2tmXMglncSkQoV2FL4EvQybh+Ta2BtYdW+nPwObISiWFeCG1/FVtz J0EzWVWz6PaOueqba6+XPhkaic/ApHg2fOrNEXDodUR1bYeiUhvRPfvgV7wK a4KjxPtK+Znno7q2IVBc51NvIe/j/Wynb8492+/ri/2yf9qRGO4t7aJ9N61x 6Jfwj37SX/pN/8nhRnzILerYAuTEG0ie5CrrFMGZvMmd/BUtToioN1DpIvSh TmFhTlI36ucrdIw4loxvLnx0lc53cvTPs//qHppn3/t78a9b6tD5QAKO3WAc 2G3rFq4hxfFMQ4pQvMIBJfYrkR/wKmo2GaNtZBSq5vshfdUuVLzijc6xQTg2 xQ91cz2Rvj4ZaYY5qFyTjCOacSjVTETe5gykW4egZGURDi3LQc3qQhxedAid QznnPU3k6AfQOToCx7gv/ZPJqJ/rgvLFTsh+ZzdaJoSh89EM1fyKx1XPUk4M TUHT2CTkWuxDG/eCFHl/0/go1M8KgHJUAo5cs/8I1wjuHJaK6kV70fx0omp/ eo4jezBHzlHvjBiFo6Nj5Wee5/e8jtf3rTHcv0aaaPfwfHc0P5OIOtEf+2X/ tIP20C7aJ8eI9Y5ho/30g/7QL/pHP+kv/ab/5EAe5EI+5ERe5EZ+5Eie5Eq+ 5Eze5E7+1IF6VL3oJ/WhTtSrVOhWstxB6nji2jkqg31xXJiIo79uqb8qvu7m o2/efVD4YZS4KFEXV47aiBw0HuzGhYir9ze80X6CP/uL2iAqAM2ZlSI3LUFD ZAKaU32xx8sD7wXuwFk3WwQvsUbUciv83dMKiLfBz1Fcw7e3bknQxMVIW1z0 C8If8d5oi8+Cy1sV6AxvQZNvM5SBombxFTl4UAs+zk8XOXEAfovcio6yPdAx T0eNIhstpaIGSEvCmawUfJutwH/CgvFTjC9+C/DELz5e+CnIG+eDXfB7miGy bJ9Gkc0zuJxhiRPZB9EUmIvWWz0TkfVKPmoPBqAmIQ5NiWGoCI/E6s268r0p MVyerz0YKK+7Zb0ivmN/7BcZFije8Qyy7J6RdtE+2kl7aTftpx/0h37RP/pJ f+k3/ScH8iAX8iEn8iI38iNH8iRX8iVn8iZ38qcO1IO6UB/qRL2oG/WjjtST ulJf6ky9b7YfaP/+myJuGD+MI8YT44rxde/Ns1f58vM33+Ov9nvxkbEtPjZz EPmofX/N8p7JXvzVfSH+5TkcX+4TdYXXKASvGgrTcUOwc5qoSWY/jY1TXoOF yHGtVkyGjmIlDALewja1GbCZ9DBsRX5sMXMo9KfNg85oDeg/bgzjoUYwFHn0 xvHzUWf5CL71ehb/FHn3OfHqe//CbRS+dH8W5/2G4e+uG/DhrjX4xGsk6sve RmTZs3CMHAPNqDmobNJAzVFn9Hj64+zWXahLy0XnqZdxvHkyOnpeQHfXLJx6 7wXY79iLtY9swtYXH4ejsFVbbT42OE+Clqg1NG3HQtt+GFZvXY0Vm/ZAXdsO alq2qj1QxGvF5p3ynZ95nt/zOl7P+3g/22F7bJftsx/2x35PvfeitIP20C7a RztpL+2uOeok/aA/9CtK+Ec/6S/9pv/kQB7kMpAT38mvVnAkT3IlX3KWvAV3 8qcO1IO6UB/qRL2oG/WjjtSTulJf6iz1FrpTf8ZBf63C+BBxwnhh3DB+BsbT vXFcxqU/f8XRzyoHPe/+RsfAv5k3nomHW5k34k9tRlLdKsRF7EV83G5ENixD UOdEkTO/gBClyP0bLMW7GRTNK0X+PAv+rVMRXjAd5d6vIFjUKwF1M6/LxTn2 SdE0C/YVz8OiyAH6qTNgHroERtwz8ib72Msa4eBU2NdNRkyaNfanW8C/Yxqs S2bJfU20Uyar5r+kPgcD7uUSPxNmFXrwKF4H7zJ7+JVpILJzO0Ib3hC2zoO/ ciFezquW7/zM81Hie17H63kf72c7bI/tsn3Zj+iP/bL/2DRzxKRaS7s0b/G8 h37RP/pJf+k3/SeHgBvUK+RGfuRInuRKvuQcqjRFTIOF5B8kdAjqmih1oT7U iXpRN3ehX9Pp+Bvqe6fxxbhifF26F+bZc8zOH5fxzcG/ouv+hDvPTQc8Z+Ez itrpwah+wQ2HH8tGrvY2JPupIWnPFpRNiRc5cC7OPBGLY0/FonbUAZTMCRF1 jD+adZNQoReJVHt/BPsLzfa64ZCpByr1IpBtG4y4HWFI3pqF6leKcWpYNLpG JuDQ1HB0iJqi8/5CtI3zg/J5N7nWb+UcP5QJGzofTZf5tqwdRoia4L4MlK/z RuVqD/nMoO5lT7SN2S/ns1e9olpz+fijvWuhyfXN0tH4XDSOzPcQNUeGas1m uT5YDA4dnIRjo2NUnzmXQ3zP63j98d66R9Ye4nu2y/aPPZwh+2O/7L9qjQfK hD3H71OtUUA7T8haJV3aTz/k2sXCL/pHP+kv/ab/5EAe5EI+5ERe5EZ+5Eie 5Nqsmyg5l8wJldzJX+og9CidGi/1oU55Qi/qRv2oo2ofzkE+V7nBi/HEuGJ8 3e3/TPrm3R850gEvkyp0J+agLLgR7yeVyL04OA7pZrnplZrFCz/GBqElvQDK gAIcDs6Hw15TfJuyFJdiLcXLFkorC3gvtkC6pjkuhFoCsTb4IcJM5M1rxXVa +C7SBX9E+aDVNR17V1SiW+TbjX5KNPs0oyG4DR8VZeCXUC+5F/sPoWb4qlUf u3Vike10AF0h2agXdUB9rKgXonJwJL0UZwoO4vSBdHxeEoXvI4JxIcZf5PfO uBC2Gb7qT+CzcDM0pVeiJUjU0Debu3JVvRIo6pL9aI1IR3miO5ZvMZDv/FyT EDOoekX2I/pjv+yfdtAeaVdMgLST9tJu2k8/6A/9on/0k/7S76/a9CUH8iAX 8iEn8iI38iPH1n3pkiv5kvN5wZvcyZ86UA/qQn2oE/WibtSPOlJP6kp9qfOt ahUZDyJeGDeMH8YR44lxxfi6p+bZ8+jNL7/7x5d439QRZ016c9H+l504Zy++ c8HHXgtwznMEvhI57D89nkHg2w/B5Ln74Th9CAynzsGW6YthLXJi28mPQX/7 AujuX4otrgthvGwmdkx+BHYThsB6hsjjZ06G7rh3oPOYFbaOWgzljvvxrcdY ue6U3E9ywOsc312fwoce89C5Zys+d3sGX/jPw7fta/DxB88jp2YsDP0fg9PB mVCI/LvGZD669mihs3Mb3v9oLj7sHo/Tp+ei6fh0bLCIgvEjttB+Vg3mMx+G 7sqXRH0xE9o2T0PL5lloOg6Huu1KqG12kvNH+tYV5muF5s6rPvN7XsfreR/v Zztsj+2yffbD/tgv+6cdtId20T7aSXtpN+2nH/SHftG/LwLmSX/pN/0nh3PX 8OGL3MiPHLeOelVyJV9yJm9yJ3/qQD10Y9+E/rZXpE7Ui7pRP+pIPakr9aXO 1Ju6U/+zA2uV3hfjhXHD+BkYT/fCcdW8+y/65t3/cfsbb3DI8WFcdwy/IeFE OqKrLeDXvBBB3XMQUqyL2DBvRKbsQETrIijaxyGocRZCm1cjsNkKUQ1WCGlf j7TKZch2nwrfTlGr1M2+bjyYam7+bLjXz8K2uNdgmLUURuWuMM2ec9WekdeN v0qeCsvCyYjueA2xId4IaVqOoKax8FW+CLOCmbAs2wC95HUwL7aBc8l2BDTp Iky5DqEdIo/vXgifunEIbBJ1QOM0eNW9gtcyy+Q7P/M8v+d1vJ738X62w/bY LttnP+yP/YYolyNO2BF99DVpl1byzesV+kX/6Cf9pd/0P+hGz57IS3AjP3Ik T3IlX3IOE7zJnfypA/WgLtQn6NhcodcCRFWbC/0y8KfQUbUvy//2u4BxJOfZ f3HvzLPvm1/wuX0HOobEyXVp7zg37d2DvemZeBx+bRfqpoThxGMH0T42Gocm haHytQAkB61FvoUJGkYeQI/Ik089lowTj6bh9H0ipx9ZgMo1R1C4OgvFmxOR bRWIyk1JyN2UiXjTOBywD0GJaSAajBJQ/U4s0v/iivxVO6Gc7o+jzylQvHU9 ylZboGpMMloeS8OR2aIume2PtqHZaH88A12PZuAk1/96LBUFW/eiZup+1L/g iS7xmXNCGsdHoGaej6xd+ue/9D0b6d9LkeO+UtHx7H6klTwv3/mZ5/n94Wv3 iB+m2heF7bL9E0PTZH/sl/0XGO2R9tAu2kc7aS/tpv30g/7Qr+KtG6Sf9Jd+ 039yIA9yIR9yIi9yIz9yLJRrgh2RfMmZvMm9R9RL1CHfwhQHg9egcrE/qieH Sb2oG/WjjtTzeN9+mXcYE4wjxhPjamCc3bVH7+/IHy6eh7NDGRoCilAfocSH 6Xn41df9tvlpf83i542LKb44npOGdI8cRDruxR8JW/BN6gp8H68F7LfFjxGW yNM1h/tiM9SameL3GFG3RFvjQsgufBNjj1+T9VHglQiX9Y04HtqORm+lqlYp ZK3CORMBuMj97hWW+DVPE+4hEfA1T8LxmBw0h2Sq1vjifvJBmWjyz0ZtZAGa Y7NRF1+CztJMnIlLxedHYlHvro49e7XRHt8FZfCN1/O6vl4JQk1SJI4GFaEi zhtq+kvkOz/zPL+/bb0i96LMkP2y/3r31dIe2kX7aCftpd20n37QH/pF/+gn /XUPCZf+/6SwkjzIhXzIibzIjfzIkTzJlXzJmbzJnfypA/WgLtSHOlEv6kb9 qCP1pK7Ud7CxwLhh/DCOGE+7HEplfA2Mt3viYE4m3j5PL8THhhb42HznNfXK lZrlAzNnvOezEJ+LHPZr1zH4h8ilfV9/CNsn3Q+dcctg9KAldMauh/mcobDn usYLx0Nv3yJoxc2HjtPLIl+eC+upj8Ge6+dOE7nxjFHQnPEyahzH41ufp/GF 65PixRplzFX5+Bein889nsUxewuc85ogruGauhPwr4Z1iK55Hupmj2Kj7UQY rn4ZduOHwGHREDgteQduQcEIrdmMxuNz4N+4Chv1gmD8pBm2P2wBw5HLoLHp ZWzcOV7UGk/K1wZRd7y+Yz3UNURtom19m3rFWl73us16eV9fG2yP7bJ99sP+ NuoHyf5pB+2hXbSPdtJe2k376Qf9oV/0j37SX/pN/8nh6lpujORFbuRHjuRJ ruRLzuRN7jrOL0Mrdj709i6UulAf6kS9pG5CP+pIPakr9aXO1Ju636hWkS/G i4ibzzOKVEOL7/Kc60aHnHf/zZ3Pu7/2YH76+x+/4t8/f4xz/+nB/pPZCDy8 Cvs7pyOifQFi0y2QFOKFyGJTKDpeEvn7cyJ/noHw5iUIadFB3OEAxIZqie9e g6JpBgI5VqzxSt0i59wr58KjbiK82/Thdng7tlV7QSd9HnRuUq+onlFMwfb8 6Qg8Oh37C0U/8Xug6NJB5OGtiOreA//qDYjq0oVv7VxEHp0vaoqJCKiegbic N6BonSfX3QpsnItgYZN3vahXssvlOz/zPL/ndfE5f5H3BYr72Q7bY7uyfdEP +2O/7D9G2EF7aBftu+n8fPol/KOf9Jd+039yCBhQp8ifBS9yU3S+JuohLcmT XMmXnMlb0fmS5E8dqAd1oT6Bh1ci5ngWzn3XI/Wjjv9nY7fusXn2vWMOLtR+ ivapUeh+/M7HganGTyWjc1gKqhfsRcOoeHQ/E40u0Vbn0AzUvugp18xVivw7 12I7kuNXoHSDK1ofzMHJIZkir00Seb94zSjCIY0iVGlEI9lOgdI1uahWy0bN ilzULM9D9Yo8lKnnolL9MDpGZKB5Uojc7/DoyHikGBggeYMpGuf54+RYP9SL 3DtiuxGStKzQMDUEPc8G4Ogcb1TMDkbWOjeUmZij4UnVXu18PsL1u6peckMr 93Hp3RtFzskX3zeP2a+qRTgObWgKOsbGIa3ldfnOzzzP73kdr+/uze3ZDtur Et/J9cd694Znv6UmZsha6ybtoV20j3YmaVtJu+tFjUc/6A/9SjE0kH7SX/pN /yvVDkse5EI+5ERe5EZ+5Eie5Eq+5Eze5E7+yQkrkGu+XepCfahTl9CLulE/ 6kg9O3vXZfufnrmJttqnRsv4Ghhvd+vR9zfvg7ndiNonYmF/E84nhuOnAO/b 5qcD89QffXzwe64/wkMjcMTFEIi0xQ8R5jh/cB2+S1mFnyLNgfgdOOdnjtjV JvBfaoKTLtvxZ7wTfgoOw6VgV2QfVMDOLhGdkVWoDejExwU5+KV3fvdFhegj wgY/izz99zR9VKbZwnG90CQms38v+b7nGFyPq00hapEg1Tz3Zn9RD4TkoS62 GC3RHVhsfADRu8vRFVEuaoF0cV/2TeuVtgH1SkdwPqqDk/H2Kmf5zs999Urb LeuVbNlPV3i57Pc10X9LdKe0h3bRPjnvP0hlt1yvLHRgnZMl/aS/lWk20n9y IA/JRfAhJ/IiN/IjR/IkV/IlZ/L2f9NE8j/nr9KDulAf6kS9qNthoV+EqAep J3UdTK1yZUyYt4wfxhHjiXE1MM7uneMyLv3+O47vC8XZrVY3qVeu1Cwfmjrh hPcbIn9+At+4jcYn+0Zi3xtDofUw15/SxfahW6H9zBZsnT4NdlOGwHbSMOhv fhG6iuehETYN+g6vwERtHqxnPqEakzVlJkoMd+FjUft+5Pky/in3bXxC5OAi N5fPW0aLnzkGbQROuarjtOdiOWfj870j8Y3XWBxgPWQ3C5v3TcDWtS/BbtwD sJl0H/QnPw7NISZYuiQGqy33YpmVM1YYemLL837Y/tBmmN6nj2VvOGPtvvHQ 3iHqDdunsNH+ObxquAPqmjZX1yY3qle0VNfxet7H+9kO22O7bJ/9sD/2y/5p B+2hXbSPdtJe2k376Qf9oV/0j37S31Nu6tJ/ycFttORCPuREXuR2VvAjR/Ik V/IlZ/Imd/LX13hR6kFdqA91ol7UjfpRR+pJXakvdabeN61VeusVxs1x1zAZ R3f9w/prjoHz7j/rn3d/5/8H9P3tvOfLdhz7or3/fOPpJOypN0WA8kUEd05B cOM7iD2wG1HhexFbo4mQDo5rmizq3edQdGwndqXvRbRym8ivLRAix4qxTpki 1zLm/iLeDbNhkDcF+8oWIqBgBQwLbLE2cTr00yffNOfn3u5GBSKPb5gI986N CHL3RnqLD/wb5kLR8pJol3NoJos6RdhSPxt+DdOQ3LEJHmVqCBTfBTao1jO7 cb0yR/W9uM5LXM/7eD/bke2Jdtk++2F/7Jf90w7aQ7u23KJeoV/0j37SX/pN /8mBPMiFfMiJvMgtpnkbXNL2CJ4Okiv5knNszWbEkPuBPVIH6kFd9tSZoPFU Ur9m1O/4l+1X6Xonhyp+Lst4uifm2auWDcAfF35Fz0iRr4wMQefTCTj26B3W LFxr6uEMHJrFnDsYbSLPbeG4qEdU8zi6RySjZoEr2ocn49SQfDQ+l4i8fduQ H6OBiuU+aBuSK+dvdD6ahOrFVchyDkGOcbjIw/NRsSZTvPiMgPuHcB2xdNSt y0H3k+kij05C18hYnBiWiI7nfHFsti06mWs/koGjj4h8ZngKat+2Q4vI8Tsf S0HVhDiUzQ9E/RxflGnZoWa+r2rNMuEv1/StnxiOQ+I7+nLVM5ZH0nFkvhuU z4q+HhR51Lg4NJ9ZJt/5mef5/VV7w3M8GZmI9tgun1GwH/bHfktF//Uctybs oV20j3ZKe4XdtJ9+0B/61THWV/pJf+k3/ScH8iAX8qmQr0zJLWd7OLKdQiRP ciVfci4XvMk9b992NAgdqAd1oT7UiXpRN+pHHalnjdBVxeQO57FwT04RT4wr xhfjrC/m7tajb07Be+/+DdZ2kThZWIPz4UG3nLtyo9f3QX64HOiNMBfxby5h NxBqjB/DueejLS7G6eK7tOU4H6+F3yJsRZ5siVMuomZ5ayti1+nj7z77RJ4c gNrYSLiYlaE5qRgn671wcb8jfvQLxI+BQbgYppozznWtLinMcLzaBAYWkXJP +ZuuRzyghmkLYT2Qhq6wSsS6lOJtUfu2htaLOuIWz1h665UjB0XMJEXgqCIP hwMysGLpfvnOzzzP729dr2TJftjf2xpR2C/6px20R9p1G/vpH/2kv/Sb/pOD XKtAcCEfciIvciM/ciRPciVfciZvcif/38JtpR7UhfpQJ+pF3ahf2K4Qqef3 QYOvVfrmsDB+GEeMJ8bVwDi7F46+NQP+84+v8aHISc/eLCe97jmLE465r8Kn Hk/jvPuTaHZ9GWYTjGD0gKhXHtcRObAhDB43ge6Ml2A1YwgcuDfJosnQs38Z WqHjsClgosijX4b56pnYsmQu6nRt8amRPd4zc8YZR3O87/4mPvUZjy9Ezvyl 60icc+WeH6JecVuK911W42u3YTi371l87fMMkt65HwYvjIPejr9gy5uzYT9G 1EhTh8Bq1kPQHbUO2x4wwvKFEVijvxdrLZygs8QHhg/rw+yhTVg5KxRLzCyh uXOEqDeGYbPtJCzXdoaalvWg6hVex+t5H+9nO2yP7bJ99sP+1po7yf5pB+2h XbSPdtJe2k376Qf9oV/SP+En/T3ltkT6Tw7kQS7kQ07kRW7kR47kaSG4ki85 kze5kz91oB7UhfpQJ+pF3agfdaSe1JX6Uudb1ip9Y8LE94wfxtHAuLoXjv55 9xf+z+bd82Be+q8fPpJzFfrGA/GX7rvffYb4eiuRSy8R+bHI3ztnIqZmI2JC dyM2aQ/Clavg1foMSt/zgcNhD4QoxyJYqS5e5ohqsERkiwYCm1/CzupJ0Mmc iM1Jk2CcNwtBPW6w9H8FBnHToHODPSP7x1QlT4N54XPYJ9oxb3dA5BEdRChs oOieD//aafIZierFGmMu/OvGI/60LYJOiBpB/Bwo1+G6Rb3CdYXFdQHiet7H +4P61+5Stc1+2B/7Zf+0Q9pT+Jy076bPV4Rf9I9+0l/6Tf/JgTzIhXzIKbjJ XHIjP3IkT3IlX3Imb3JXdMyUOgQ1/AXxdVY48+1nuLK//R9SP+r4+//4XOSq efYX7v559n3jc/4VcAKd9yegY0wi2p6NVM3JeHxwcxb6n0GMisOhhXtFnp2F rjER6OK6t4/17u8xNF2uZ9WwaA86R6jmvneJ3LniHW8UJGigLNAYjZMP4oQ4 1zYsA1X2ocjWSUH1SpGPq4nP6pkoVxfv60RerlGI9qW9a4UNT0LDlDC0P5GA 4896oesvxqidGoKTQ1XPTE7SruGpKH9F1BKiBuD50w+novs+kVPN9sVhGy1R Z3hB+XSSrCc4T75qwT60PZV0Zf95rik8NA0NEyJweK4Puh/Iwolx+/H3j5fI d37meX5/YsC+8Lyf7bA9tsv22Q/7O7xDS/ZPO2gP7aJ9tJP2nux95sPz9Id+ 0T/6SX/pN/0nB/IgF8lHPVPyIjfyI0fyJFfyLRWcyZvcu/pqRKEHdZHrjfWN ZRO6UT/qSD1ruOYA5/YMeHZ0+9dBGUeMJ8YV44txNjDu7taj7/8Bz/gCKCMy 8We4Jy4G3mGeyj3bg1zhbMxnAHX4Ps8G/w0yFXm1hWpdqt5nLedTV+L7cFP8 ud8Gv8Q64JC5PfYs3oFSzd1oCvaCl+MR/LOoABfC9+E/+y3wn0RTnI8UOXmY PX7hmrwiR/852Bo/FhrC2tYTpS6Z6IhkPXCbmqX3OUdTaBq6I+uxWScVe3cU oCe65ObjwmS9ImqUZFGvHAgV9Um+qFPSsfJthXzn55oDYeJ7hbzuZvUK22c/ +6wLsFk3RfZPO276XOeqOidL+kc/6S/9pv/kQB7kQj7kRF7kRn7kSJ7kSr7k TN7kTv7UgXpQF5U+FlIv6kb9qCP1/Ona9axv82LcMH4YR4yngfF1rxxy/Vnh 06d1HThjYI1PzB1uU6+oXp/IOQu7cGyXFj7zeRyf7l2JJj0XmDyrB6OHdFVr Fj+iA4OhptAdsx7mzz8K2wlDYDdlOAy0FkDHYyY2BI6Eptd46Hu+ikOJSfjI PQQfmjrjrL7IfbeLusXGGu+5bsQn3jNxzmskvnIfjn+6TUSn53p85jEaX7uO xWeeo+Cx4lFYPSnqIbUXoef8BkyXTYP1xIdhO3kI9Ca+BqOhVjB6WAerXldg hflubNBXwPAJK5jer4GVczzxprYn3t6qj832w7HRZSzU9G2wavOOQdUrvI7X 8z7ez3bYHttl++xng56qX/ZPO2gP7aJ9tJP20m7aTz/oD/2S/gk/6S/9pv/k QB7kQj7kJHkJbuRHjuRJrhuCRkrO5G03dbjkTx2oB3WhPtSJelE36kcdqSd1 pb6fXDeX6SbxIOKG8fNZXYeMp3tpXWPVoZp33/55JX7/n+bdq67/6ddfENOu wB+Xf7vyTe//Kd98/yGiT6QjqG41IpVz4aecgODOlxFRvA1J4f6ISdZE1WcZ cDkeh9DakSL3noXg5hnwaVwMxwptGObtgF6KJozSF0A3bTy25k6Bf9EyaISv hk2+OrRTxkH3hvueiPhLHgOj8nWwadsjcvQ5COuYitgDexFduA3B7Xx+cmVd 4ABRWwTVT4RrmymST5qJ2mNib+1x83pFVeNMlNfzvkBxf0DjgLWGRfvsh/2x X/ZPO2gP7dK72XrMwh/6Rf/oJ/2l3/SfHMiDXMiHnMiL3MiPHMmTXMmXnMnb TzlR8qcOUcfT8M2FD6/SiQf1o47Uc6C+dxIPjCPG010/z77X9EsXflOtXzz0 gNw/sG18GLo4r/yxwT5bOYiuR9JxaIErlJzrIPL0+snhIv9OVu1jyNdw1jQZ aJwWgiMzFDgmcuBjTybh1H1ZaH0gB0e0vJBTug7l+6xRPGM/Dq7zRf36ElRs EO2KfLxsXR4a15ejbmmZ3OuwU+7jckDul9g1KgptIxJxapwHqpY6o1qO20q/ ei+VqcE4NN8DnQ9nqfYP4Z7zowKRKXKTgsXBqJ/rgWZhV/d9op/JIaL+8JXz Tq6sFcaxbskof9VV2J6C1vHxaDwxQ77zM8/z+54BTHg/22F7bJftsx/2lyH6 7RH90w7aQ7toH+0cuGcL/aA/VUt3Sf/aRiRIf+U+kb3+t80qkVzIh5zIi9zI jxzJk1xzStbhsOBM3uR+TI7By5J6UBfqc2yAZtSPOlJP5ah4qW/XwOdHt3uJ +GEcMZ4YV4wvxhnjbWD83Y3HH39ekvbXtOUhw8cLCA7A9zdas/Zm48ECfXEp xBfHXb2w164EHT4daM4qwk85Vvgl2Fzmwj+HiVdI77OW9PX4dr89vg9U4FJ4 EC76eaFS1x5aL1rC1yEEiPfBpaBAfO+nwPkwD5Fba+CCyK9/iNmOn0Nt8KPC ApeTLeEv8vMAuwM4HpUDpWIw9Yp4KUR9E56DQu9DWLQpBoeCKtEWdpPnIn31 ysFQ8Qq5Uq+8Gdpfr/A8v79VvcL22c/CTftRIPpl/7RjMPbSL/pHP+kv/ab/ 5EAe5EI+5ERe5EZ+5Eie5Eq+5Eze5E7+8pmK0IO6yJqSOgm9qBv1o47Uk7pS 30E/ZxNxw/hhHDGe5PNuxte9dPTOXfk0uQgf65riYwvHQeWnH8m/qdviQ2MX HHMyRJejMc6ZOqFW3xpGzxhg68Pc84N7FOrAeOhWbJHjw6bDfrrI0Z8bgh1L p0PP4WVsdB+GVQFjUVnmh66aGBzNT8bpiHh84OCJs9td8JGePd4XufBpZy2c 9XoFnwaMQrfnWpxznYOvvcbh726j4fiiaHPSozAxfxFaO4dhy67J2GbyMiwW TcaWiVNh8JhqnJrhw4bYsDwC6xwCoD3PA2ZDNmDl1H14R8cBKzc7YqmxJpbs mY7lujZQ0xxcvcLreD3v4/1s550tDlg1da9of6PsZ93OANkv+6cdtId20T7a SXtpt4n5C9IP+kO/6B/9pL/0m/6TA3mQC/mQE3mRG/mRI3ludBsm+ZIzeZM7 +VMH6kFdqA91ol7UjfpRR+pJXanvR4OIBfli3Ij4YRzdi3NYBs67P/FF6x3t d993P4/j/+hCZn0K+J/Jn3/+cd33PBpOJ2JvgzGCmhdA0TANQa3TEdr6MpKy TGDpGgeX1N1wUc6EZekkGGRPw5a0SdBOfQ56abOxNWMNtqcYQzddvDJex+7q VXBoiYdZiR60Dz4r8vjpV48DEzWAIfd9zFSHQYMLwkSeHtgwC/6N06FoWoYD IZ4Ib3sNAQ3Tr8zt59q/LTMRkrkA8Q1L4N+/P/wt6hXx4nW8nvfx/sCGAXNL RPvhra/J/tgv+6cdtId20T7aueWamoX+0C/6t1P46SL81c14TfpPDuRBLuRD TuRFbuRHjuSZlGUs+ZKz5C2476nfjoZTiTfUR6XbZakj9bz2+8HEAuOHcXQv zLPn37i5ZhP3huy4Lw49T6TIv4cfHR2No6N6170aRK3Cv8lzrkjNPD8cfzAD 7U/G4fiTYTj2gMi3H+L+80niJeof8X70/lTUPr8XLc+G4NQDvD8Jx0Xe3TEk E01jDiDXww5VTa+h2sEDmYt70Ph8Ec4sKhE5dYnIrzPQLfL7noeS+uf39zyS KueH146NwakJriiYr0DRS15ynodqb5Le8VwPZqF6njeapoaIHD1NtR/KHF/k z4tEgZ4zGsam4fB0P9S+5ImjI1JF7eCONs5jeUz1jEXWPkMzRL3hg7rRkWh/ OR/FZ2fId36uE+f5ff9+K+I+3s922B7bZfvsh/2xX/ZPO2gP7aJ93QP2bKH9 9IP+FMwPlv7VCT/pL/3um/9OHuRCPuR0WvAit8zXeiRH8iRX8iVn8iZ38m95 ViH1oC7HenVS6ZUo9aOOUs8HM6S+1Lln6CBrFsaSiCPGE39mfDHOuIck4+5u fsZyuXftlrMfl8DTwQyXAgPkfouDzlFFPosQPxTv8kDQziM4FtyCWs+jaMsq xH8zLPFL7/ilXyJM8GOYE75XBOHbaFucjzXEn9Fu+CY+EjHOcTDdVYKYdU4I fM0GJ/ftwuX4PfhvxE78GGKFi7EGOJ8mcvPktfiea/GKfL0o0Q6ONr44GVGA JsVt5s4PeDUp0nEiugTmlhkwNE3FyagSURfc4P6+euVAuKhJgq/UK0sH1ivB 8vub1Stsl+2zHzPR34noUtn/4G3NkP7RT/pLv+k/OZAHuZAPOZEXuZEfOUqe giv5kjN5kzv5UwfqIXUR+lAn6kXdeoR+1JF6Utfv76BeYdwwfhhHjKeB8XVP HPx7oXj99u03+HtwND4yshqwjvHgXlzb9oSVHT5wewvvihz3nxYOqNK2gsGT +lfVLKrxYcbQmzEftjMeknPMteeOhpmTMSLKvdBS6AWleLWUe6LlUDC6q8Xv p/REvB+ZgNOOPvirhRfOGLviXStdnLDTxnveM/DvvY/iA9vHsXPOSGw1WgxN 57HQ5LrEO4Zj885R0HF+AfoGC6E9xgLb7+f+iVow4X6JepHYrBWC7Q/oQ3ek MVZttoOasHmVlj1esDIT9Yu1nJey8jb1ysre+Su8nvfxftmOaE935HbZPvth fyaPGMv+jYUdWmMsoWewSNpHO2mvtNv5OemH4+ynpF/0j36esNeWftN/ciAP ciEfciIvcpP8xIs8zZxMJF9yJm9yJ3/qMLBWoU7Ui7pRP+pIPVVrFt/Bi+sa i/hhHDGe+mLrXjt+ufQzTvXPux/88UdvbZJ1NA8lpyuuOtd3XNlfUjU+LK7W An6NbyCsdTIULYuR0R6HXfkBsHHVhbGjI8wSRW6ew31VJkBXjpeaLNcG1k+f AsOst0Rurw+/cg9Y5MdBo8AI+mlPi7x9kjg/pXf/etYqY7AybTXWVjkjtJm1 ygy5tzufbfgfnYb4dDNEpOxAYMc0BNar6hX/hpmIaH8RMVVa8KqeLfd/76s7 bjoerFF1Ha/nfbyf7cj72K5on/2wP/bL/gPkvJcZ0i7aRztpL+2m/VtkvTUJ +qlPS//oJ/2l30bCfwM5/u05FRfyISfBi9zIjxzJk1zJl5zJm9zPfKca/3Wj /R/7dKOO1PNGWg7mYBwxnu7qQ24jIXLG3/7EqYnZ6H5YtWd5jxwHdACtz4Wr 9jS83Rz7Yb1z7OfvRsuwRJwelgPl5DgULsjFiZcP4b2F5TjzcjFOvVSE068U 44OXy3BiUTVKtOJROrcCzc9k4tSTIv95OgvHH89EyfA0VBq6IX+/ORI830Hp S/7o5jpiD4qaY1iSaozRsCt20d7Wp0T+/WwwuiZ4onB+EA5NDUX9TP+rno9w bxSOe6pcuA+tTxzEuw9koOQVf5RPV+CwZjDqvOPQ+XQt2icE4MgL3iibL+qS aUE4/nB6/1q+nCdfNzEKygl+aFuchyOfTJDv/FwrzvN71V4vfLYiajhxf7lo h+2xXbZfL/o5oqVAmeiX/dMO2kO7aN/xxwbUgcJ++kF/CoRf9K9H+El/ewZq I3mo+JCTXJ9YcCO//BhzwdNdciVfciZvcif/Eq04qQd1oT7UiXpRN+pHHakn daW+1FnOvR/EmDDGD+OI8STt5d4yIs4Yb4w7Oe/+Lv1V0z/W+KsvYOESivfd ffF7iK9cL3dQY4CC/PBHsDu8rOKR79mK9kAlWvybcMS7E60ZJfjlgAX+G2KG H6IscVFc97OPJy5FBODb7BDExflgi1k8vI1b8El6JZDog3abvfB+WwtJGlr4 OojzLazwS5g1fgi1xvfxuviPyNN/OrAWnx6whZHDHijDRdwN9vkKx1gpVPNZ 6kJLsUBjPzK9i9EVnnWDZzRcdywPNYkxqDsYeMN6hef5Pa/j9dc+G2G7mV7F sh/21xaSIfsfrK30i/7RT/pLv+k/OZAHuZAPOZEXuZEfOZInuZIvOZM3uZM/ daAe1IX6UCfq1Sx0Oyr0o47Uk7peHOQcFsYL44bxwzhiPA2Mr3vh6Jtj8PU/ /o33ttri7J3kpzJHFfds24V3967Hv/yH4pO9i3HSZA/OWTqgbJMF9IeJnPiR 3v3VRY5s8rABDIbuwNrxf8Gm+bMQ/qYFTpm64kRsOo4djkFzqQdaivzFywdN JW5oqRQ5eE0Iuioi0VWZi9bYYHwRfhAnkkXcFbviH1mBKM9YDi3nudB3fBKa 1iOgafs0NtuOhobNWGy2FnXL7qegZm2FLc8Hw/DxbTC5bz02j7GDhn0u9Cft hNmjetDSccNybQuoazhhnZUa3nBajOWajlDXuvX6YPye1/F63sf72Q7bY7ts X8MuR/bHftk/7aA9tIv2STuFvbSb9tMPbeEP/aJ/9JP+0m/6Tw7kQS7kIzkJ XuRGfuRInuRKvuRM3uRO/nL/SKEHdaE+1Il6UTfqRx2pJ3WlvncSD4wfxhHj aWB83SuHat79L2g4m4nPzr+LO5l3f7n3+UxUVTj+ff7W/5f0nf/2h7NIezcN e4rtkVJfAEWDHRI6ZmOXci4MY9bA1MkFxj6iNk5/FTp546At8nGtlOnQTOF+ KszTJ8AoewE8C2Kh58NxYtoi318IvbQJ2HxwPPRSxmJt9lpsPLQLClETBPXW Kn21h3/9dEQdXYT9YV6IblQXufwUBHGeCeuVlpcQ9UE4vBtfEudmDqpe4XW8 nvdFyLn1M2V7bJft7w/1kv2x3yvrnc2RdtE+2kl7abe0P20iDFIXwChDW/pH P+kv/ab/5EAe5EI+5GTsYw9TZxfBb7XkSJ7kSr57iu0k729//GRQ+lBH6kld 7yQOVPPs35VxxHi6q5+t/KFi8WPHVyKvTLpqrdruR1PRLvLMjpHxt553P1zU Cw+momGqAoeW7ofypUrUrjuEar2DKN6Qg+pNhajRKEDNpnwc2iRyGL40xGt9 CfJNk5G6OwglKwrRuqYErTplyDQoQLhVALJfy0HVX47i0GuuSNujhiwzAzSP 4rpWeTKfH7h3YXfve9uUAChni3rlxUAoR6SiZuFedAxPuXp81tB0NI2LwuEF +3DswWxUT4pF+xQvHHuxDI0Ru1FrIH5XzahCo2BRv2gPctZZQSnnkqT0zulI Rc9wkV++4YdqnTxUHBst3/mZ5/k9r+P1vI/3sx22x3Zr9XPRGL4bx+aXyX7Z P+2gPbSr56q9KpOl/fRDOSJF+BUk/aOfA/2WPwse5EI+zaOTkGlmiHTBjfzI kTzJlXzJmbzJnfypA/WQugh9VDrlS92on9RR6EldqS91pt7UXY4du8U8e8YP 46h74HM61iwi3n7s+PqqOLzbDtU//d/wacNJ+HklI97JB1D4DHqu9S/Bfvi3 vztcrRNR53tU1CpKNPk3q2oW3260Zpbjl1iRFwdZ46foQJwvSMahmFJs1z6E HRo1qAwUsZSVjZNZ6fivl7fIqYPxc5QzDpnown3pZpRu1cXPXF8s1hI/heyQ efrFeA2cz18DqxBDlPgH42hokcjvB/+MRanIxPHIfHg7ZWHltkj0RBXd8BlL a3AuDsfHoz7pxvUKz/N7XnejZytsd4Vo38sxS/bXNMhxYKpXhvSL/tFP+ku/ 6T85kAe5kA85kRe5kR85kmeT4Eq+5Eze5E7+1IF6UBfqQ52ol0o3pdSRelLX Xwa5PhjjhXHD+GEcMZ4YV3fxr5brj97fu+c7evCR6Z09V+mbY809Od7f/Q6+ dHsCX3o8gY9cX8Exc2eRAzuicK0ZDERevO2hbTAathXaT6+F5qTp8HrnKTQ6 T8dfXSxxdvtufGhggbO+0WirTkFzubvI0X3RUhygei/xgLLUHU2l+9BS5Y32 w6FoqQ9EXrebyM2TEZDhi0WmG6Dm8BI2OY2Elt0IbLYZA02bkaIOeAbaNo9g 2Y5FWG7kAe21CmhP2AWzIetg9KofNLakwvQxE2zbGo3lWiZYvnk31E02QMvx ISy2WitrETUtqxvWKzzP73kdr+d9vJ/tsD22q6GTKvthf9oTXGT/tIP20C7a J+0U9tJu2k8/6A/9on/0k/5Kv4X/5EAe5DKQE7m1Cn7kKHkKruRLzuRN7uRP HagHdaE+1Il6UTfqRx2pp9xr5bZrL9xonKCDjKeB8XWvHH156mecd/+1ysfB zGfru+LiT98joi4Jly7fvM4Z2NzPP/2A/BMf4mCmFzxaXBHaOkvuwe55ZBZ0 sp+DUd7zsAjVh4X9PlhHGMGrdQF2N0yCXfl02JfOgmn+FFhUzMLeAkNYBCyG Rel6GGdth0GRBVzK3oBptRqMlfYI5T7w8lnHgPkkrBUaRP3RNhWhpXrYH7cH IZ2sYWYhWNQdng0vIeJ9BaJ6647B1Cu8jtfzPt7Pdtge22X77If9qdZGHrhn ylxpH+2kvbSb9hsUWUp/LMrWS/+knxUqv+k/OZAHuViHG0lO5EVu5EeO5Bki uJJvcqa35E3uN9Ljap3+lDpST+o6UOdbHf3z7EX8fHa3z7Pv3Rvy109+wAdL ytH5YAJ6Rgx8ZpEqcs04tPfNu7/R2B/+jf3hA2gan4986yiUby7EofW5qFib gjyD/ajgnh9qGahQy7z+tTod1cvykLEtGunmESjRSkSudgLSnDyRY5CIanFv 3aZcdD5diaMPZCFvnS3iQ19Flo4Jmh9Px4n7uJ/8AdVzDOb1j6WLPD4Ih95w QvnsIBx9KBd1s3xVefU163z1PJSJ6tl+aBTfcd/FE097o21uEyqt4lHqbo/i daVoeaMSXY8LvxY7oXCDiWg/UzBJx/ERB4Q9ycKvOFQbJaCic7x852eePy6f I6TL63lfwavO6BqWL9tju2yf/bA/9sv+aQftoV3X7tlC++nH0YdypF/0r1X4 SX97+p7jCA4nBQ9yyRZ8yIm8yI38yJE8yZV8yZm8yZ38qQP1uJFOUj9xr9RT 6Ep9qTP1pu7Uf+CzroFjBBk3jB/GUf+4PMYW97wX8fbBkgoZf3fzHpJcUbM5 oxuHAsth4xiI73x88PMg5rBw/M+fISIH2O0JF5sa9AS3osGvGcqAZjSLvLfV uwEVvmfQUlmEfxaLmEtugav5YeitKEWyXQ2Oh7Wg1e8ojoQ14euyHTgfbYkL QQH4KcgNSDDDt8FmSNHcAr+3NqLdwRCX4yzxh7zGRnxvjFAPS4SE7UBHfByU wfloVeRc95zj5s9ZMtAVWYSl2xRQuB3EiYg8WcdcXa/koDYmGU0JQWi/pl7h Z57n97zu2nqI7bFdtt8VWSj7G1ydkin9oD/0i/7RT/pLv+k/OZAHuZAPOZEX uZEfOZInuZIvOZM3uZM/dTgn9KAu1Ic6US/qRv2oI/WkrtR3MOMDGS+MG8YP 44jx9Pv/7cD+//24LH06FXQAZ/XNbrGO8U3qFRMHfGhuh7N+k/Gl69M45/Ys vnIfgQ/c56PH2gqfW7jgoLoFNo9ZCp0J42D7ylCUbx+Or7zG4D+eT+FTj7E4 uVcDH1i64G/6VujerRD5dyraRF6uFPl4S4mf+CxepSIfL/VBc4mnOO+Klnxf 5LeZoqN+n6glXbB0rQNW6jiL2DTF2zuWYIPTOGg5PI4tNsNFXfAk1ojPy7Qt xTXW2GgQAM2Ffthynx70NTOg83wwVm4IgZq2Gd7SdsRfbJdAz/ZxbLJ/Eq+b amHFZidRm3DfSJveesVGfuZ5fs/reD3v4/1sh+2xXba/5T592R/7Zf+0g/bQ LtpHO2kv7ab90g/hD/2if/ST/tJv+k8O5CG5CD7kRF4tJamSHzmSJ7mSLzmT N7mTP3WgHtSF+lAn6kXdqB91pJ5SV5M7rGG5rrGII8bT773xde8dl/EH591/ VoHf/xjcvPu+v593/KMHBW2F8ufrxoKhLze+jJ///A3Hzn6ByEMZCG3YiPDO GfBqXo2EOntEtKyCv3IKjHKnQ+vAROjkjMO27IVwjLTBTn8vBJduQeSxeQhs niJy8bmixpkOi1x1xJ9MRYSoBXxF/h95dBl2HdoB06wdCGszQEjTiwhUThfX TxOvgXtQzpF7wQd2voDYiF0IL9dAQMsUBDXNgU/1bOwvXYNwjusSNceg6hVx Ha/nfbyf7bA9tsv22Y/sb2D/nCsj7KJ9tJP20m7aH3l0ufSHftE/+kl/6Tf9 jzz2vORBLuRDTuRFbuRHjuSZUOcAr5bVCO+aIXmTO/lTB9UztOtV7tOPelLX gTrfLn4YN4yfP+6Refa/fvojeoZzzsr19QjH8rSNu8m8+75xPZPLUGyejhTr EFQtz0WVyHELNVNQps0cPrd3/eFrXmsyxXU54udsFGw5gBT/ncjaFoeCnX7I 2x4j9xGpUM9A5cY8tC0sknMzTtyfC+WoBOSZGCDDdRUqXndFl8jhTz2YjmNP JMp1iDuFrQc3WaF+YhA6h2bhqDh/aNEeHB0hcvoB9nOt3i5hf+UCN7SPiUbL 5ABUTChBsVoRynytULQtFIdWF6JuTTkap1chf81OlLzghpbRIegeImqWCeUo sYlDrL0C9W2T5Ts/8zy/53W8vkDc1zS9WrbD9tgu22c/7I/9sn/a0TVMZdeV ejFZ2i3tF37Qnwbh1wHhH/2kv/Sb/pNDxetuSHdVQ76xPppHxUte5EZ+5Eie 5Eq+5Eze5E7+1EHqIXS5XqssqSP1pK7UlzpTb+pO/fvGEd5wnr2w9YZjCkW8 Me4YfwPj8e45etdgufgFGoJa0BXUht2+oobd5w4o+Dfzwcxd8UXWLl/sd6lF l8hzlX5NaPJuQV3AUdTFdeB0aiUu5O9HecpB6KpVwntLKZqDlOhUiNrGv1lc 24Tm9FZcCAvD95EO+DbJBP+JM8MPCmv8GmEl8nBLfOKxHeFqGghftUn+jARx PsIcFaG7sHtnJLpzRW5+wA9NkclokXVL9m3rFo7X6gnLQYJPMl438kCrqC+u nQfPduojMtAcG4z2kDwc9u+tV8Q7PzfHBsnvVf0NaF+00xqeJ9tN8EmR/dx+ TYBMVTvCfvpBf+gX/aOf9Jd+SxaCQ7haHwtLyYm8yI38yJE8yZV8yZm8yZ38 qQP1oC5nUiukTtSLulE/6kg9qSv1vd0cFsYJ44Vxw/hhHDGeGFcD4+yuPnr/ pvfbd9/jA5u9+Nj4zsb+cH3bT4wdcNzeEp+7cx/DUXJPEOa7X3k+gpO+L+Go kx6+VkxG1vbHELX6UZzdMxrfej8rrhuFf/buH/KF93B85PYXnLLejb8a2eDd HfvwYV4aWg/5o6lY/P9e1puby7pF1DFlXmgr9kL5YXccbgiD4z5HvLXBAura dlilsQsrNZ3wtuEOvGO1DuqO0+X6wpqiJlhqrgV1DVtRb5hiudEeGC4PhsGk vdi0Og8bXnXCan07LNPdgWW7J4ta4gm5l4qGwxN4c5s+Vmg4y+cpK3qft/Az z/N7ueeKuJ738X62w/bYLttnP+yP/bJ/2kF7aBfte8d6Hd422iHtpv30g/7Q L/pHP+kv/ab//SwEF/IhJ/IiN/IjR/IkV/IlZ/Imd/KnDtSDulAf6kS9qJvc 00XoSD2pK/W93TrG171EHDGeGFcD4+xeOf6Xeff9uW1rPjr/cf16yH/8qRoj xNe57y4g9kgxQut3I7Rtvsj3J8O/brZ4n4Zo5SLsbnIU71uwq3waNA9OhF6K qFtSxovzUxFTvwbewU4IDHVGtPg5iGvy1o9FWLsJIt6tRZByHkIaJmJf81pY NNshQvkKFEo9cd4RUQ16CG1ZihDlDJHvs9aZ1TtPfi58lZMRX7sBEWHuonZa CN/6yUhsXo6A3DdEXTCjd++V29cr8jpxfUDeG/J+tsP22C7bZz9BjXN765RZ 0g7aQ7toH+1UNOtJu2k//aA/9Iv+0U/6S7/pPzmQB7nsVk6VnMiL3MgvunmL 5BnT/Krk618/W/Imd/KnDtSjT5s/Bqx516cf9aSuA3W+Vezca/PseXwT/z46 H7zJXvacKy3y6aOjVfu3X1WrDBU1zNRCNGpUIGGnF4o2pqJaPVvktjko14pH 4WaR2/LzNflvlboq/y3dlIoCwxiUbj6IgrW5KPGyROE2Uassz1fVMyKHrliT jiOrKtEzIkPOyzjxaAqODylE1ZxQHHBbjgMey8XPIeJcAU4/nIaa8XHI1jbE 6XEe6Hw0Q66x1TBNgZrZfjj+cGb/viF8JsE57o2jY3HkDUek/8UTHU+JfG1F CXJok7sNilflo2ptGg6vK0Hu1jRUrI9Dt/Z+FG1OQu26SiToH0CesyuOtEyX 7/xcu7YCRRpJ8jpez/t4f9WaNNke22X77If9sV/2TztoT3f/s5UD0l7aTfvp B/2hX/SPftLfE8Jv+k8OSe6CxexQyYdreZEXuZEfOZInuZIvOUvegrvkT5+F HtRF6nOdZtlST+pKfakz9abu1J9xIONhYM3ySKqMG8bPjdZsYLwx7r6J/+Cq eLxbjr59Mc5+8BUOe9WhM6AdWQGV2LPLBZcCAm47h+WHIH/8GuyGvWYJKPFo R6tPC44EdaExrgnvZ+Tj14xInA/0Qq6WMVIM16A+Mx1HI4+hxbcRjX1jxnw6 8X5SEX4Ld8cPfsG4EOqF/6Suw4XUVbgYZYofFTuuPFOwM4Tf0g1I09TCxVAz /DvCAg6WSVAmhor8PhB1fCUFQxkmagiR96tqlpvXLRyfdSqqEDpWXnB2CsQp OWZr4DXZaAzNRHOUAm2heajprVf4zs883yjn2WcPaDNLtsP22O6pqILbjANT 2Uh7aTftpx/0h37RP/pJf+k3/SeHvmdN5ENO5CW5CX7kSJ7kSr7kLHkL7uRP HagHdbkg9KFO1Iu6UT/qSD33CV2p7w+3WdeYccJ4YdwwfhhHjCfG1cA4u5uP vvVmPzv1N5zZaotPzO587srH23bj/d2rcc5rBL5yfUq8P4WPvafjpMs6fGhl gw9dTNDoJPKON4ciVe8JXPDjHo/ck/3K/uzMkb9yfxKf+E7Du07m+MjIRdji jL/mZqDlUIDIyd3RXCbydD5fEXl6s3yu4IWGcj8UNgRAz9EeyzbaYaW2k9xv nvWE+mYbrNws6hZde7xlroNVTnNEXbAcyzfug7qmtagLzLDayAEaa3zxzlvp 0NEuFHWCPdT1rLHReTw0Rf3B+SRatk9g884nsWybEVZuchZ92Mh3fuZ5fi/n nYjreR/vV9d2EO0ViHbTZPvsh/2xX/ZPO2gP7aJ9tJP2ynFnwn76sWyTnfSL /tFP+tvvOzkIHuRCPuREXuRGfuRInqp9NlWMyZvcyZ86UA/qQn2oE/WibtRP peMIqSv1vdM5LIwjxhPjamCc3WsH50mfHMS8e9Vzk8u4JPLSiPoDuPjzxavO 9w27/kX8rm0+fhp+RxIR17IKQc2TrxmjNQf+DdMQ3DIXqU36sKq2gVb6POin jcOWFK4RNhVuDZMQ1j0P/iVb4K/wREiSHUJaXkN024sIr09HsHIuXJvXw6pl r6hT5iGgcTqCRJ0TonxR1ADrEd5ohYAWW4Qp1eTe8EGNom7hXot1c+R+MBEH nZCQZwL/ljE4cNIKnl2WCKyfcJWNqnplQW+9suDqeoXXies9xH1J4n62w/bY LttnP+yP/bJ/2kF7aBfto520l3bTfvpBf+gX/aOf9Jd+039yIA9yIR9yIi/N 9LmSX2qTAYJa5kmuAQNt5LwawZ86UA/q8ktvLiSHnXA8X6++1JO6XuqtRQbz m+HkvTDPHuhfm+ns+hp0PnD1WLCB89hV8+7D5P7kffNAeh49KPLtTBxSr0KB hsi7bQJRrpYncuJMlK/h2KFYkaNnoPLaeoW1jMiZC3USUCzHF2WgTD0H2U7e yLf1R4Z5GMpX5st9D6vE9eWrM9CwrghHn86Ufco9P0Yk9T9TqHzDFWmuq+Qz l5ZR8Wi/rwCHXrPGmdkuIn/OlOOkOh5JR82iPWgaw5og/aqa4ORDGSifE4hY bXOceVp8t7ECxcsKUei0B3k7vFGxQtRG6hko3JCK9N3+KNtUhnzzGGQ6eaJo QxoKLHyR2z1DvvMzz/N7XsfreR/vZztsj+2yffbD/tgv+6cdV9dS6dJe2k37 5bg34Q/9on/0k89Qck1Vz5qq3hjwrEnwISfyIjfyI8eq1ap9NsmXnMk7R3Av F/ypA/WgLtSnUj77GqCb0JF6UlfqK3UWelN36s84YDz0PHpl3g3jhXHTP8/+ 2tjimDARd2fXH+5fo+5uOvinisv4E+/XnUa9mxLKwCa0+x2DrWsozigscSkw WOSiN947kvue/xLsj3PebnCxzkR92DG0pzTi4+R0/JIQBIR7osV8FyLUHNDo aIU/I83xW4IFWvMqURvQjRa/Bih9m9EQ3o6zWZn4r487LgaLGil8F34O3YHv Y/Xxn/TluJC0CT/2zdkQOfpPkRYoNNKFxxsb0bRjM/Y6e+FIQDEakn3QEJKL xpg41KZ4oyE+Cs2KXNXckpusNcz9TY6GirgITMNiI1tUKdLRHnplP5dmjssK PYDGyHB0hhYIPhlQeytUvvMzz/P7ZkVOf3u8v0oh2hM5CNtl+zfdHyY0U9pH O2kv7ab99IP+0C/612S9WfpLv+m/5BBiLbmQDzmRF7mRHzmSJ7mSLzmTN7mT P3WgHtSF+lAn6kXdqB91pJ7UlfpS55vtc8/4YJwwXhg3jB/GEeOJccX4uov/ JNZ/MI/kv+7Ps8rwga4Zzt7hWLBPTG3k/hzvuS/Cv7yG40PPl3B6lyZOmzvg U/PdeNfEEXFv2GHTM9uhM+45WE4cglzdYfjWZzTO7RtQr8iXqFncnsLnnmNx ap8mPjB1xN+Md+GTPFFHV/mKPN1T5OheMk9v5lioIj5f8EFFYTjWbhf5/WZH ketfux+9FdREjaCmsRPLtR3xut4uvG25CW/rixpB0xlqm2ygrmOBZVrBWGTU hvU6+/C29k6576OmLeftj5QvLVGLaDg/ieUmeli+3lO+87OWrGlG9r5GyPt4 //ot+7DQsFW2y/bZD/tjv+yfdtAe2kX7Vg2YHyNfwg/6Q7/oH/2kv/Rb+k8O gge5kA85kRe5kR85kudAvuRN7uRPHagHdaE+1Il6UTfqRx2pJ3WV+68Ine9o jKCII8bTP0VcXca9Wa9cmXefjX9d/BhyzNBNMtW+8/8+/yWiKkP7/6Z+5W/1 l5DX8yGcs6tEfm+O2JYZ8G3s2+/k2nkcqucOoc1TYFe/DhbJltiW+Ra2pHM/ xSnYljsDfnWzoGibiqjOxYjNNEOY3z4kVVoh40gMnGu1YNniLPL+50VbM3rr DNYIfJYyVdQA4t6WFQhv2o6oBisomnXEta8gSD5z4R4rSxAf7C3HZXl3myPx tI3ob4I4P0+2FSD3k58Oz/oX8WpupXxXyHFmqjqA1/H6xFM28n62w/bYrmxf 9MP+2C/7px20h3bRPpWdc3rtniH9sBL+ONdqS//oJ/2l3/SfHMiDXMiHnLZl vgkzwc1W8AtVThW1yqwbciZ/6kA9qAv1oU7oHelI/fqetVFX6jtQ7xvHwWUZ L4ybu32eff+eK9/+V+aN3Y8cvH48z3Xz7nv3u+d1D4k8Y34xatcUIVnkvilm 0ajhGC7mtmvTUbQlXuTIOVf9fb5CTfW3/CLD/SjRTEbVKlG7iHMHHQKQbxiH ijfLkWIVgnyOB1uV2ztmLBOlG/JRP68CJ+SYo5T+nL5vzoby8XRk6pkgIWwB slbtRvGrzmic7SWuz5C58nFhf/NTB1C1cC+6xP3HB4wLO/74AbQ8noWcNcbo nhCPY+tqRf2UgdKNGcgONETJxnT5vKFK5PipFgpkbo1EzduFyNU+iGRnb3hl GiP/+CT5zs88z+95Ha/nfbyf7bA9tsv22Q/7yxb9sn/a0W8Tx1EJO2kv7ab9 9IP+0C/6l7Vyt/Q3Q/itvGYuT9+8IvIiN/IjR/lsRXAlX3Imb3Inf+pAPagL 9aFOFfJZy5V6k3pSV+pLnak3daf+jAPGA+NCxoecZ59w/Tz7a8cTirhj/DEO B8bl3XJc+v031CV1Q+mt+ht8d1ALYlwaEO1tjEvRu3HRP1DkpT5X1Sk/cD9J Xy+R43qgwt0fAQFF+C77IH6M8hXnvPDZXnckbnRAjo4jvvHzxuW4Hfgx3AK/ hJjip3gLKLMaUesncmffBtSFd+L7eIXcG/1iqIdqvxbuh8h9DMOtcP7gRnwr 8vHz0SIfV1jhsvgeSWb4NtIIilUb8eYSDfi7RaEnXvwbSfdCY2AhlKIWqE8I RW2yyP+jE3vHiPU9y7j2GUsWTkXlw9Y5GFusA3AqshiNom45KmqJrtBcnIwW 9Up8JEoDy7F/bxIWzo+U7/zM8/ye1/F63sf72Y6tU3Dvs5Wbjf3KknbRPtpJ e2k37acf9Id+vblkMxQrN0p/6Tf9JwfykFwEH3IiL3L7ST6L8ZA8yZV8yZm8 yZ38qQP1oC7UhzpRL+pG/agj9aSulUJf6ky9qfvVdYuPjA/GCeOFccP4YRwx nhhXjK974mDO9Mcl/O1gPj4e7NwVMzs5B5vjhD7avgdnbK1wwmcJTttvwxlT Z/zNxBmfWu5EuYYd7CaaYMuDujB5WA86w7dj2+TJsJoyBBVGI/CdyJ3/eU3N cs5twPgwj6U4Ze6Ij8zd0V2UDGWFu8jZfdFazLFg4t9AsQ86KoJQnOYPNaG1 3NtR8/r96FX5v7WsC1boWGPlnglYv3MCltmuwNvbTLFccxfUN1lA2ywN+lYF WGBghA0Oz/U+N2Ed8lR/zbLB+RkstVst36/UKr3fi+t5H+9nO2yP7bJ99sP+ 2C/7px2yTtG+ib38TnOH9Iv+0U/6S7/pPzmQB7mQj+QkePWN/zp3Ta1CzuRN 7uRPHagHdaE+1Il6UTfqRx2pJ3WlvtSZesu592aDGBvGOBLxxLhifN0Txf01 R99c+bNfncDhk2ny5z9vss553xih4tOVyO4sUM2F6D33r6//DY/yEzCMdoJO xgI4V49DYNMcXDvv/ao58FwXWOTTe2snwSTjRain22Br2iYYZ06GZvJEWJbM VO3NWD8FQUefRVj7UkQkeSFsuTpc95sj7PQiURuMR2D9vGvydNVckcCGqQhq ni5y+UWibtBHsNJe1A76CFO+jeDOyYjPMkBUmg0CDy1FglId/qytmmaKvH8S QltflGsTRzSsw6qEHPnOzzzP7+V14nrex/uj0mxle2w3TPmW7If9sV/2Tzto z9Vzanp/FvbTj3Dhz75YC4QK/yITvaS/9Fv6LzhYCB7kQj7b0jZCTfAiN/IL lrXajTn3P2sRelAX6kOdPCpOSN1kHAgdqWd2Z6HUd6De1x598cF4YdwMjKO7 8egbe/Nl6Gl0PhCPniduvsdKD8eEPd037z5NnDsgxxnVq1egWC0PBSYKkYen yL/BV6up5qMUb0kQP6vqFc6LKFuXgRI9/v0+DqVr0nFodSYq1ohaxSocWUb7 US5y3/I1aShfm4W0nSLv35iG6pW5Io/OQM2mAry3qBrdDyZeN6+ba2KdEPn9 mSEitxmZKmoEPZQHT0GJui26huTj5MOpvfshpqNligI1r7ii45FM1T4qvc9Y eh7MhnKqB2qW7kHrmmqUCfsqVxQh19YDBU4uKF9eLOzNQJGoOZJ2+qJiVZ60 LX9tHjzSt6H51P3ynZ95nt/zOl7P+3g/22F7bJftt66uxuGlu9Ek+mX/fc9W aBfto520l3bTfvpBf0rU7VAeMgWp5nrSX/p94pq10vrqFfIiN/Irl3vd50qu 5EvOkrfgTv7UgXpQF+pDnagXdavq1ZF6UlfqS52pN3Wn/sWitmE8MC4YH4wT xgvjpucW+/cw7hh/jMOBcfn/+tG/BuQXH6HRrxZK/1bxakZLQBP+P+7eA76q Ku0a551RBBUpivTexIaogxUECRBKCOk9IQlppFdCeu+915uekEZCEkp6TwgE sMyMZazj6IyjYEGs4PrvtW8SQnOc+f7f98rc3+94OOfss/fzrLXifZ67W3Pw AJxEDPG3VDN8GR+Ai+ERIk4V8Wl4CL4NDcB3MQH4R3YC3i2vg1/QIbwW4APE BuFihNCWqSdSdjrhVTdxLyFcxMV++Jr7RcZbibjaHt9GiTwkyw6dhR044TuE k6XH8FViuDIWTrQTMbcVLsbtl/sifhtthZ/CHYAkc1yp3o5P8rVxLtUGyQdD EWoTgIPeGQhwSMMuS1eomQagKDYGQ3kp6IsuR2dkBToSFGjJDRNxc6Qca9V9 k3WH5TwVca8jrhrP6AYjL/gQXkk4hIbwQygKKICvZwZcIi3gvd8fBZ5WcHpa XZ55zft8znIsz/f4/jN6wbK+npuORSuWdijHfkVK+zoSCqS9tJv2F8XGSn/o F/2jn/SXftP/TxTaEg/iQny+FVgRL+JG/Igj8SSuxJc4E2/iLvEXPJAP8kJ+ yBP5Im/kjzyST/JKfskz+Sbv5J86UOohQuqDOqFeqBvqhzqinqirz4W+xuvt dvyM2v7lBx/jLXtPvGnxL8b8jOQpb+11xZ8tPPCKvR3+6LUFJ8OexStW7njb zA0f2jrhlJkTwtZaw3CyEYzv1Ic59165m/vcG8BgsiXMlyyB7fIJOG4+FeeZ s/jcmLN8dHA2/u4zDW+HLcOfHfQx7JKMgYZ8dBx1RsOxQFR1uOPEiRgUH0qG 4X5PqBg7QnWvC7bpOoi85eY5APdEeVnTDZutN0HPaSK0naZgt+tMqDg+iw2W xtis7wwbu8N42Vlb5BX3QMd+NBeZPpaTaNlPh7rzNHm+mqsoD5bne3yf9bA+ 1sv62Q7bY7ubrTdKO5R7vdwkVxH20w/6Q7/oH/2kv/Sb/hMH4kFciA9xIl7E 7YZcReBLnIk3cSf+kodJI7wIfsgT+SJv5I88kk/ySn7JM/km7+T/V+Ut5g54 W+iK+hqvt/+uz8/44adv0PFWuYhRv7ulj8q9Ba+g4IT4Dn6nX977+qfv0TD0 Icwz82Cctx3GZQuhmzdfnFcgvOOX4mdlvhItynieeAjaigUwKl6B/XlaUC+w gpZihexD8Dq6HDFd6xF01AyxJ+KQNViO6CwXJAabIjPDC/HtWxE+sEzkEMtH 5p7cmLeEt68Q8f4SRHc+hsTOnSKf2C9yDSukn9RFfHIg0opMEMV59h2PIqlj A+I6tJF0VAtpvaJcrSrW55TLM695Xz4X5Vie76WK9xNEPayP9cZ12sl22B7b Zfs3zVO4L4ywm/bTD/pDv2KynKWf9Jd+03/iQDyIy26BD3EiXsSN+BHHX85X HpJ8kBclPwslX+SN/JFHfk69MyD5Jc9XbpGvyLF/QifUC3Vz2/0QfN1nNC78 OHQYAxPSbj53ZXxewLE93J+cY3sm52Lw/iJ07KhGtVoRwoOC0KCuGOtDqdfO FHFsgfy9/sh2EeNqZaHaOAmHdYpxYnsNenY34dBLx5G1PRtZuzJRtv4YWtWO on93PRq2HkKFfjlKvMNwRK0YTdsVOKJVja5H6nF6YtbVvRE5vkgcp+V+Krlo m5+IlrVeaH52n7BhH8p8VJBzUAMnFgnfRJx/ZrKw+65iNCwXOcviOJy6U+QI U0bWFuM8/aVhSN0eg1LzNDSKuL5xRzGqt1egxs8G1TrZ4l6FsK0COY7hsm+C 8zjK9PJQb+WH9td/L8/yWtznc5Zjeb7H92U9oj7Wy/rLRDup26MxINpl+7Jf hDmHsIv20U7aK+0W9tMP+lPms0X6Rz/pL/0eHF1LQOKRP9Z3QbyIW4PAT+Io 8CSuxJc4E2/iTvzJA/kgL+SHPJEv8kb+yCP5JK/kd6zvRfBO/qvVCtEp9EBd yHF7HEM4XzmG8Jd0Rd1Rfx+HnrlGl7/1j3JOwc9448zHOB7QKeLMbhlntod2 yT0f/Z2PofFgAC5lW+N8nAe+DwnBpaQgfJyfhlN5DehI60dt0DC8LLNwWcSs r7j7I2mHExrNPPBNdAh+igvFl+EiD4n1wrcJlvhGxNJfp+vhy5xduBSzD5fy 7dFa0IM/pdfgh6gAEf+KODnaFpe41lWqHlBgiS8L7fBWkzEUWY6IDLWCXqQN nFzMEBEZgEOxUWgWMXRvfga60osQ5B6HF4ytYO1phuboEpxNHhnPFXkIbSlp sg+jLZ1jxCqU64iNGyPG+SXDCZWI8y3Gk7rxCD2YDxdHX2R6OqPZ3xCvFr2A n5JN8L2wze9lNXnmNe/zOcuxPN/j+6xnOOG6eSuxynW/2D7tkPYIu2hfV3Sp tLdZnGn/CybWCPGIRVdaMfqEf/SzMjZS+u0s/NcXOESGWEtc3jpqJHCylXgR t0uRVhJH4klciS9xJt7EnfiTB/JBXsgPeSJf5I38kUfySV7JL3km3+Sd/FMH 1AN1QX00CZ1QL9QN9aPMe7ulrt488zGUe1Pfvt83o/tifNBzDq8Y7cfbVrdY B4p5igXzFHf8ydITrzha4DXfF/Fu4Hx8Enwn3nDbjHcsD+BtEeMWbXWA5YN7 of977rUyuk/k6CGuRYxszLWDly2CzUMT0G49DZ8HzcKHB2fhY5m33I9PfKfh 7/734IPA+/H3g3NwLupJ9LlaoL0kBHWvuqGh1Q3dJyKQnueL7WYO2MwxVdoi TzFwgqq5K7YZO8v1u7Zetzf9Fh07qGo44cV9OiLnmA5t+/vFMQ06jndD03U6 tjivwGY7Y+z00YSm02TlnJRr8hXlscduzk3vyz1fxHt8n/WwPtbL+tkO22O7 bJ92bLm+b0Xaay/tpx/0h37RP/pJf+k3/ScOxKPPxULiQ5wkXgI34kcciSdx Jb7EmXgTd+JPHsjHKDfkiXyRN/JHHskneSW/5Jl8k3fyTx1QD9TFrfIW6om6 +qD33DV6+2/6yLnTuIyBd5swKA7lvPubx6rfXb4s4uxU8a/L+NNHX2Jfdjl0 c1xgWvoQDArmQDd/KfQVS6GjWIIDx1feNI4OHztWI7bzYTg3LId63hJo5M2G GfeMrNyF0PooeFabw/moH3xropHRlYS4Nl3ZV5F0zgsxw88jtkYPqXHBSMi3 Q0LvM8r1g1tGx4ZdNyZqZKxYuBwrJuzqUkFCjzGSyjzg6miJsBO7kdnrgpi6 bUju00d081rEdD+C4I4nsK78iDzzmvf5nOVYPuyEGlwdLJFY5inrY70c8xV+ zZivG9c0pp1RfUul3YnC/hThB/2hX8nCP/pJf+k3/ScOxIO46Ap8zMoXSryI G/EjjuEjfSw3w5s8kA/yQn7IE/kib+Rvn8jJyCd5Jb/k+eZauSz1QZ1QL9TN bT0WDOPylfAzvypfUc67T0Lvg2k4e0cujq46jJodlTimno0Uj3BUqVaImJh9 JsUoNUmVsWydiG0rDZNQZ5CD5u316HuyQcSwIhaaXIETC9NQvzoM/SImH5hS iFPTS/DK1AK0zi3D0Jrj6NyagTT9TFRtbEHbkzUini/A8KR8nJR7m+Sgf0Ym Bmek4sSyaDSs9UHNblP0vWyA7vmxOPk/h3BSxP2HNwSgKGU3ajxt0DpL+DBB 5CiTctGwzhNdC+NEPF+CU1NzcHZiIepXBaHEIA8lwpcyzTw0idi8UaUSFeZx SM7QQs2efBwyTkWFWSJS/bzlHI4jW4T/tgHoGJ4kz7zmfT5nOZav2aMQ72vL elgf62X9JZ7hKNHPk+2yfdpBe2hXwzovaSftpd20n37QH/pF/+gn/aXf9J84 EA/iwryHOJ2elC9xaxf4EUfiSVyJL3Em3sSd+JMH8kFeyA95Il/kjfxJHpmD Cl7JL3km3+Sd/FMH1AN1QX1QJ9TLzebZ3zRfCT97jS5/85+f+X+Nn3C6tgPt fp3oilDGmdyDo1/8u8K3EwEWSUCULz4rM8VfquMwmNeDlvh+NAf3YiCE+wq2 IcImBnV6jshUd8b7vgH4OTFc/j7/VYTyN/ivE51wKc4a3yRa4nyRCr7M1sBn iu34IXQfzpd449XqQhE72+PL2t24XKqPv5wyQnOJI3LTXGHn6g8TR3fYuEYg xj8JR6Kz0Z1RhMGcKHQcskVDqS+OZcWiIz0KZzLi0ZIcCxv7cLywvQBBtiKH TxC5Z2IxOiMOjY0Ra+EYsQQFemRfC+ecKHOKIZFPRPiXYdfW7ahyUMMPSQfx U3Qwfkr1wOflKvg+2QKfRljj4EY1eeY17/M5y7E83+P7rGdoJB8arZ/tsd2W cWO/aBfto520l3Zb2wsNp8dgOCNR+nVc+Ec/2w/ZSb+7MxRoiM5FjF+SwCUS xgIfO1c/iRdxI37EkXh+E2sv8T1f7C3xJu7EnzyQD/JCfsgT+SJv5I88kk/y Sn7JM/km7+SfOqAeqAvqgzqhXqibjjCljqgn6or6os5u65/HOO5anN7NKsMb BjcbC+ag3N98rwdet3bBK26G+JPfU/ggaCY+8ZuKj73vx4cBD+KPvobo1HHD gVWW0Juo3M/e/Jo8Zdxxt76Mk03vMYHRssWwfnQC+uzvxYXwe/Gu/wP4yG8e Xg9ag9fcd+K0/y70HtTD6wc34Y3oBXgt+AV0VNVg8EgogmI88LK2HbZoOsk5 8lu17a6J97cxbxHxvrw3Lm/ZJveht8cO99lyPS/mGZpyrvx06DpMgabjvVAL mgtNzwegtf9mOYnIV/bPunm+IsrzPfm+qIf1sV7NkbyH7bFdtk87rslTOPaL +clovqU1mm/ZSf/oJ/2l3/SfOBAP4kJ8iBPxIm7EjzgST+JKfIkz8SbuMk+5 W/+m/JiP7HdPHskneSW/5Jl8k3fyTx1QD9QF9SF1Yulww5gw6or6ujKit/+2 z+g8hS8u/gMnzuUr713np3KPSODiD+/hbxfP41DnOexOT4JV4QYYlsyBXv4i uVe7noyHl0BLxNH2tZxLzr1KrsbQUR2rRezMQ8T0Im8IaVsM12MPw7HyEQS0 7UZw/XaENlsiqCoAuxJioB5jg4DmHYjpXIiw9nkiV1BD5JHdiGpfjKieZUjq W4fUAmtkxAQisXYvogefQGjnYrk+1o15wmi/xkNyjFVUz3IUdWkhx98NcbXm It9ZJfdyDJXjvbgn5DIEtYysDybOvOZ9Pmc5lo8TbfL9QlEP62O9ETf0pVxt m3bRvujBNdLeTGF3aqE1EoUf9CdS+EX/6Cf9pd8BLTuwW+CwKzFa4BKIMIEP cSJexM1N4EcciSdxJb5RHavHcpUwORfnIewXfJAX8qMnj2WSN/JHHndnJEle yS95lltt30QH/FAn1Mt4/dyun7F8JezX5Sv83X7wvmz0LojH6TtyMPBkIxrU a3BsdxaK98WheluljF/r1IpQr5uOSl0Rvxomo1GzEq3rmkRcXIxTd2Vh+HdF 6F4Qh2bOJbmHc0lylWv4Ts7BkPj3sIjThyeKXGRCEY49HoqupSk4eQfnm2eh Z1YqBmcloHMO95aPRf1jQah/yhcVG9xEfV5o55g2jlebki3ncpxhvD89D3Ue Nqiq24UG80B03N+AMxOrcPw5Z3TNjpZrD5+5Ix9H1heh0T4NFTuKkO8ZIPKO UjSplqBUvQxplc+gzP0AjmyuQf3WQyhyCEe5Xg6Ov1SDIpdgNPTfI8+85n0+ ZzmWL3P3Fu+vk/WwPuYzrJ/tsD22y/ZpB+2hXbSPdtJe2k376Qf9oV/0j37S X/pN/+sEDsSDuHTOTpI4ES/iNijwI47Ek7gSX+JMvIk78ScP5KP56QOSH/JE vsgb+SOP5JO8kl/yTL7JO/mnDqiHgbWNUh/UCfVys3n2N81Xwm6zfAUjc1fS htEZ3IFO9q9w35TQTrQHce79Kbh6VOFosoin87pQn1WNpoRDaA9uR394n9zT w8XkGLzXO2HQ/gB+jA3F9zGh+Cp83Dq3McG4mGCHS+L/gxcTzXApaRe+C3HF Rc67KN2DC/VG6Hs/Au9326GsPAQ+7lmw3xsDE708+Bvlo8yjQMS+FTgXX4Fh cfTFlqM7slT2SXTElqAtMwZtWdHojBM5SXgNuqOrcTb5EGqDCqGtpcDWXQpk exXinPBhIK4EHRGVaEvMRUu+yBlEftMVUybeKcPphDL4uKUj08sd74XoIkzt cVxMshP2++DziHj8M8sEP6QY4rMIG5mv8Mxr3udzlmN5vvdesK6sh/WxXtbP dtge22X7ncIO2nMupRjZB4qwRa1A2lsbWCjt746uEv7USr9ahX/0syNW6Tf9 74stw3CCEhfiQ5z8BF7EzX5vtMSxrDwY73fZof+9SHxRZyTwVpe4fxfiJnmQ fJCXBDslT6Pz5wV/5JF8klfyS57JN3lvD2mXOqjPqpG6OJpUDBf3KqkX6ob6 oY6knoSuqK/bfw7Lz9KHswdj8JaZHd7Y5zxubooL/mzuiVdtnXHOczfeCnwI fw2cLuPVvx1UrkN8PnAm3gpegPgN+2EyxQSGd4g8ReYk1+coevK3e7PJRth7 tzHMJ5rCeKIZ9O81hu7yWdBeMwcd+1Rxzt8AJ+3F/2d9NfCK9xa8F7AMH/nP xd9F3P3JwTk473kfXq3fBfNkNzy/0xXbtWywTVfE+DrOynxlbDwVx37ZQ9XM Bds4Rkzv6hgxVW1bvKzjgk37n4Ou4+SxXEKZt8wQOYc4XO7H7tA50OaYL8df ma84Tpfld4fNgZbr/bIezXHjxdgO22O7bF91dH49x34J+2inqqmLtFvOwxnr d7GT/tFP+ku/zVPcJA7Eg7gQH+L0rsCLuBE/4kg8iSvxJc7Em7gTf/Ig+ZC5 i951fBlIHskneSW/5Jl8y3WRDyrzVeqBuqA+qBPqhboZHStGPVFX1Jfyb+X2 js1u9eFv5D9d+R6d71bdMO/+av/rT6gZKEdkdamIhW3g1bQYmgXzoJO3TP5m rzcSB+sXLIGuiItND3GvkYfkb/9R7GcRsXRg61J4Hl8MlyOrYVXxNMxL1BB+ VBuRzQZwP6wLywobGCnsYJKvBpPix+Cctw27CvfCu/lJUc98hDfrIGXIWMTg XHPsEbl/PMdTxXRsRnr2AaTFeSHtmDpiuUZX+1JEtt5sjNgqRPashuL4buS1 7kZOnzaS43yQOPA0wlqWj8y5v/V6xnzOcon9TyM53le8ryPrYX2sN/yGee+r pR20h3bRvrQ4T6RneUm75Xi21uVKf4Rf9I9+0l/v5rXYVWAmcFCVeBAX4kOc iBdxI37EkXgSV+JLnIk3cSf+5IF8kBfyM8YV+8IEf+SRfJJX8kueyfd4/sfP s6dOqJfbvW+Fn7H5K3Hnfl3/itxPQ4G+BQkYuCcNw0+IGFbEp0d3ZyPZK0w5 1mlrOWp1MnHEWOQvGjnoVD+CU6tqMXAXcxIRu04sRs+SWLQ/7yljY8ayQ6Nz /EfPcpxXgbwenJ6Fuhdc0LowHn3z4jHwQBp6Z2ShZUUEGtaInOKJADQ84Y82 8bx/UgnOTlIo1y8Tdg7dzTFW+XKP+XMTRK7wsAIFeaaoqN2IYodENK46jm7T KPRsyUXr00dxRKcKDQbRaHq5GmWW8ci1SkCViMlrNXJRsDcFhSK3LdtVgRMq ZSgxTkf+/igce6kWWTbxqO68X555zft8znIsX1i4XryfLOup2lUs6k2U9bMd tsd22T7t6DaNlnbRPtpJe2k37T8r+0rypV/0j37SX/pN/4mDxEPg0rIyAr0C O+JF3IgfcSSeEmdZR/41uMv1xLgWnOCF/JAn8kXeyB95JJ/klfySZ/JN3sk/ dUA9UBfUB3Vy6u5/ranRfOWTuNtn/sro2OGP/va+nGPQJWLLrhDum9KD5ogB tGd2453yOrRGx8LBrgmDYb1oC+gTsXYtehSFKA+shaVqE9S2ZePD0AAgIUz+ Pv8V5+Jz7duwYHwTznnZnvgxzhjfp9jhkxwrfNamhjeP+uLdLkPUH/VHmSIG DU62iLb1h5NNKiItslDrU4D+eJEDp5RgMLEUPbHFclxVZ0zxuHW2RuarR1eg PTkTzXnBaJF5S6GI6csxGM/xYMXI8CyEys4C6GkXoE7kMOdSitAbXY6OqHK0 piegOT8Ag8ki1nfJQbqLyEFi/SCSDeSYPY9Dti8BGftFLO+Br9INcSnZEp9H sn9ltzzzmvf5nOUqRHm+x/dZD+tjvayf7bA9tsv2aUddcCH0RI6yZYdC2kl7 aTft74wtlP7QL/rXLcewXV0vgDgQD+JCfIgT8SJuxI84Ek/i2uBoJ3GuP+aP dzsNJf6fCx7IB3khP+RJ8iV4I3/kkXySV/JLnsk3ee8uKJQ6oB6oC+qDOqFe qBvqhzqinqgr6os6G6+72+kzOjbns3f/IeJM5W/jcm6K+ejcFBu8JmLftwMX 428B3O98ulwb98ODD+IffjPxafBsdNpMhfUzq6F5lxHM79KTY4pM71bGv3sn ifMkQ5hPMoLZXRYwmGwK08na0JmoCd1562C04AWYPTUH+9fOxI6VO6D/iAba XJ7C333ux18PTsOnflPwif8cfOw7V1zPxmchszHseC/26azCZsfF2Gi7Eyp6 btiu6XbzOSAjectW/ZF5LSJ34ZpbW7RssW2PCzba7MIelykix5hxQ96hZSty Er8HoSH81ba7MWe5IV9hriLKsby6/yz5/vXvsB22x3bZPu2gPbSL9tHOa/OU aw/6SX/p92anxRIH4kFciA9xIl7EjfgRR+JJXIkvcSbexJ34kwfyQV7Ij+RJ 8CV5E/yRR/JJXskveSbf5J38Uwdynx3qQuiDOqFeqBs5x8V8ZI6L0BX1RZ2N 191/02f0d/M3PxnG8TMK+e/x862//OpzFJ95A8kFQYjreBGx3Qvl+COfEw/B rIL7gYj4N1+Zp2jlsn9lKQyKl8CvZSVcGhfCoX4ZTCtWwrJkAwwyVWGYI/LN nG3YX7sDVuUbsbdQT8TNe6FbpA6jokegX7gQOoqFMChcALWi7XArt0HakJpo 1xZhJx4VOcPNcoFVSGnag6RYL5G7eCK6Y9NYLsB95iNHc5Xuh6A4oYbCFj25 30lo32Ik5Tkgq9gSYf3LxnKcW+Yr4jnLZRZZyvf4PuthfayX9ct2ZHurx3Iq 2kO7aB/tpL3X51T0i/7FddlKf91EXqJWuF3ioJO/UOJCfIiTTv5e7C3Sk/gR R+JJXIkvcTY9tFLiTvzJA/kgL+SHPJEv8kb+yKMcnyd4Jb/kmXyT99HPqB6o D+pkvG5u58/ofuLvmHRh8H/Sf3G+/TXz7h/IQN+MWPSvOYamPZWo2VGEBO9g 1O1RoMooFXWm4rt9u/hO3l2HMyurlXPk78uVe4l0L41Bx/MeGLpHoYyX5Zx3 kbdwrxD2i4jrvukZchwRx0UNzEzG8RXRaHvWA4MTy9A9KxX1a4LQ8FiIPLjX e9fMdLwyNQNnpqWg774sdE/JRf99mfL6LMdHTctG75QCEfOLWOt3DaizjUPx oXUozNiDKpMS5O3PQq55ChrUcsR1EmpVK1CnUoUsH28o7COU6zGvb0RBvC5y YozRuLEedTtKkOsSLNf9zdfPxeHj8+SZ17kuIfI5y7E832tY3yTrYX2sl/Wz HbbHdtk+7aA9tIv20U7aK+0W9tMP+kO/6B/9pL+8pv/EgXiMYSNwIl7Ere05 D4kj8SSuxJc4E2/iTvzJg+SDOaTghzyRL7lnjeCPPJJP8kp+yXOl4Lte8J4o +KcOqAfqQupD6OSX5tlfM99e6O8dk26px9thTWPld+EVvDnwV5w4KPKU0F40 xw6hK7sTbyiK8UVmNL6LCsQPYd7wsUlDXWAvhmM4zqcPPsb1MDaIQYRfIbwc M3ApLARfh4bhm4hAfBsSgB+4X0cy5zZE4ZPqMPxZkYJ3GiPQ2hqEpjwXRAXm wMYqAJo2/oi0ScJJO0985u2Hv1cloL+yBgMjcz64v+It1wG+Zu56uXJOSFqK ch3j9GTxrnK+/ehYqwDbQqzfpoCjeYGoU+RCSSVyzvtAUjE8w12R5KcpYnMb EaNH4Zs4L3wWtxfe6svxccRe/BAvcpa8rfgiyxTnI6zhvUlNnnnN+3zOct57 lsv3+D7rYX2sl/WzHbbHdtm+g3khXtxWgEDrcWPWhL20m/ZLP4Q/9Iv+/au9 L7tG8OK/iR9xJJ7E9aSdh8RZS+Btsy8A0QHZkofW1mDJC/khT+SLvJE/8kg+ ySv5Jc/km7yTf+qAeqAuqA/qhHqhbqgf6oh6oq6orzcHPpJ6ux1jMLm+rMiz 3m/uwWsGtnhbxJiv7xN5irM5Xvd9Fu8FiVzB/z584jNDxqWj+w1+HjwLf/Ka hSTVqbBaOQGGc9aImHYvzCfriXhXxLcTjWE6UeQn95rAZIoBNO5Xh8nMR2E4 /xnovTgfdjpPQNNwLl5y3Qx9kXNq7g+GrkkGHre2hZX1g3irXAXvJ6/D3/yX 4q8e0/HJgWn4PGQmjlpNhcOKCdjzwkPQcJ0PHde7sIXz5PU9oKrldON6wNeP tTJUjrXaauwkx2K9JHyWc+Dtp91iLsoMZV+J4/Vz7m/VvzJS3uHG8sp8ZZps j+3KsWDGI2O/DG8cs3b9esz0j37SX/qt4TJf4kA8iAvxIU7Ei7gRP+JIPIkr 8SXOxJu4E3/yQD7IC/mRPAm+yBv5I4+ST8Er+SXP5Dtp21TJP3Uwut+ncn/Q GVIv1A31I3W0z0Pqivp6v7lX6u2/cV1j5Yfz7i+h460y/HRZuV/5N1d+xNCb HyPpRDFiWjSRMuQk+xc4fzyynb/dr0ZM12p4HFsFw7LlMCxfAoc6xsgLEChi dePCFTApFvlJylZY5FvCIEUFdtUq8D76MHw7tkCnWB+muYIvhQqMizgHZh50 RZ6iNzIPhmcDxTxYlT4B56P2SG9xR8rAEyIHWHpNH0bk6FirrsWIGnwCyVVm yIkNQEbRPiT2/UHObQlrXi5yidUypyhgrtL9sHIvx3bu4/gsUmMCRN6xQVwv k3NMbp6vPCyfs1y6KM/3lPPpV8n6CsZyltWyPbbL9mkH7aFdtI920t7I6/ph 6Bf9SxN+Oh+zh1XZWoHDXJlbjOJBfIgT8TIt2CLxI47Ek7gSX+JMvIk78ScP 5IO8kB/yRL7IG/kjj+RT8ir4Jc/kO/F4seSfOpB92UIX1McPcs+V2+8746af ke++C0c+wMk7RU4x5ZfH7YweXGe3f1Y0Gh85jNpdlWjYXIkCpwDk7o+U69yW m6TgyJ4KNK+pwxDXtp2SJ2LeQnQsjkPrHw6MxMcKuZ/h6FyUngfSMTArEe3M UWYnoGdmmhzzNCTae+X3JTi6JBGlzx9A03PuaH3SFW1bzdH2mDeOPBKGfBUv NIrYvHdOBE7PCsbw7GAMzQpF77wI1KwLQN42T7QsC0XPimAceSgcg/eUo1al HYVuXsitWIusaCMkmWegwD0UyT6hqFE9hMMaOSjVz0S6Uxiqd5Ti2JYyHNLO R3b9o6jSUuDoy5Uoso5FiVkKKneUoVHoi2de8z6fs1x23WPiPYV8n/WwPtbL +tkO22O7bJ920B7aRftoJ+2l3bSfftAf+kX/6OfpWSHSb/qvEDg0CDyIS7vA hzgRL+JG/Igj8SSuxJc4S7wF7sSfPJAP8kJ+yBP5Im/kjzySz+Yn6iW/5Jl8 5wneyT91QD1QF9THyXt/nZ6oO+rvwpEPr9Hlb/Uj92i6ovy/QGflMJojezFU 1Iz3iwpEvBqG7yP88U1oEL6MCMWVmBDUeIQg3LMN5W7NMFKtRLBhPU6GDSAv pA5ZAXuBXAv8MyUUXybG493yPLyeXoU/VjWiJ/McOhW5KEiLQKB7MGxMg2Gx 1wtBQofp4QGoy0/G11Wp+DkqBJdiw/BdUAD+UpCNY3lH0BNRiO7Yf5WrXL/f YgW64jhHJUb2S7SlpKMjShnvn00pRmtUEaxMFHhJ5C1RjgUYSihFsGcOUp3s 8GPObpwvehmfx3BMlDeQYYdGhy1IN34KSHHHP/LU8EXhLpwPsxX5ivLMa97n c5ZjeWTYyvdZD+tjvayf7bC9SNEu26cdtId20T7aSXtpN+2nHz1ja5n9cq5y dT5/icSN+BFH4klciS9xrlMkS9wDBf7kwcY0RPJSkBoheerJfEXyRv7II/kk r+SXPJNv8k7+qQPqgbqgPqgT6oW6oX6oI+qJuqK+qDPl3hK3Wx8L/1Z+lLa/ m92A14z34VVPfbnnxgeBDyjnpvg8IOLQWXKtqb+Kf/+T8xcC56DG5AE4PTIZ NvMmwG7Z76AzUxOmd+6DwX36ML7bCHvmbYXpvD9Ab/FS2CyZANvVk2GqtQAG jmuww20DXnbZjZcsrLFZ1wYbNR2xRcNGxOo22KbjjnWWJrBMWIqhobUiF1TF B5Uv4r2ER5Gjfjds5k+A/YPi0H4c2h7zoGk3DbqO06DqtkTUtxcqezyVey3e qq9FrnNsj22mjtix1xkqhq7YJGzS3X8PNB1vnFevvX8aNLxnQj1gNrRFW+P7 S67JV2TfyjRZjuX53vV1sX62w/bYLtunHco1AW6xnjHn2gh/6Bf9o5/0l37T f+JAPIgL8Xk38TG8X7le4kb8iCPxJK7ElzgTb+JO/MkD+SAv5Ic8kS/yRv7I I/kkr+SXPJNvm7kTJP/UAfVAXfx1dP1kn1lSN3KOi9AR9URdUV/UmfJvRRm7 /bd9OJf68pWf5Dzq4b814JMLV5B8vApRrd6I612N9J4NSDiyFbE9q+S8iJA2 jj1aCce65bCqWQzd0rmwqH0I3k2PI7lHCzFHtbC3wAKG6aqwKHkRVlWLESBi 4cjOrfBp3Ae9or0wKnwJRkVCFwruFbkYenJc2dWxZcoxS8uxJ2cm/Dq1kdtg h4BOG4R3rVXOJ2m79Vz2+J5nkaTYj7TYQMQeNkDM6SehaFWF4rie3FsxvHXF 2DpdkaJ8aqU5UnPcEDOwUuQNN+9f4X0+Z7k0UZ7vja5LxvpYL+tnO2yP7bJ9 2hHf84y066ZrAsj+n2UI71wr/ctttJP+0m/6Px6PUYyIF3EjfsSReBJX4kuc iTdxJ/7kgXyQF/JDnsgXeSN/5JF8klfyS57Jd6zgnfxTB9QDdUF9UCe3WpPh dvyM/pb95rYmDP5Pxq8eEzb4QBJOLM5BvVoxag1TUWiWCoWHP6rE9RGdTHRs bFL2oXCP9kkKtM9JxfHHA3ByYomMiYfuEzEz9z2fk4CuBXHon52E3hmifc7L mFSAM1wv685S9E9RiCMfR1YHoMn+WRzaYY0z8wNx/JFQtE3PxrnpKeifKvKd yUUYmCTicXE+NbkQJ8WZ46R67inE4LQsnL0vDU3z09D8WAhaVvmgTDUCFRZF yLBIgSJJFwWZW5EVsR9updbI18tFtXYmGraWo9woHUVevrK/pGFTLfJ9HZGf rIW6DU2o0cpBjmMEatXz0XZkrjzzmvf5nOXyfZ3ke3yf9ZQbpst6WT/bYXts l+3TjgyLZJQLu2gf7aS9tJv20w/6Q79Ojvg5NOI3/ScOxKN1eg5OCHyIE/Ei bkceChQ45kk8iSvxJc7Em7gTf8mD4IO8kB/yRL7IG/kjj+RT9r0IfslzlVqJ 5J38UwfUA3VBffzasWDU3Zvbjl6jx9/iR8aJYz/ZXcHXX32Mk4WN+Dg3Dd8m BuO7MH/lOrWRHNPFfQBFrJoYiXcO+mD3xgzY7mxApVs7upJO43RKD7wcWqGI K8ZbBbloO5GL1vw6DGR34GjYORQ4duKASzQsrJxhqx+FUMtcFPvloystEqeT RLmMaLRWlOFCbBS+DgtS7usijh9CRc6iEPlxegN6I/+dnGXc3iqRh+S4sJbs aDTnhsjxVB0jawW/IvKDQ/6F0NQoxGbNZERaWgCZ+/BDvCMuJBvhs0I12W/y bbQ9vkuyR7DmCrwaoIVvM6xxKWsHPg+3xUGRr/DMa97nc5Zjeb7H91kP62O9 rJ/tbNZIlu2yfdpBe2iXHM8m7KS9tJv2X+PPr8xViBdxI37E8evR/XIEvsS5 pUL8/0jgTvzJA/kgL7b65MkJB5xjRN7eKfkjj+STvJJf8ky+yTv5pw6oB+qC +qBOvhrRDfVDHVFP1BX1RZ1Rb2MC/I3nLT9LO6/a9/XFz/HnXBe8cXAxPgqa gU98p8o1pT7ynSX3GvxQ/PtjcT4fNBtDzg8g/MXJcp9Brolrt/z3MF09BZpL nofp7D9Ad+VccW+ifOa0TJRZ+XsY7nkcu+y18bKTAdYbWWOT7n5s2S1idQ3O N3eUe8Cr6riJg/M5GLu74Vk9PdjFzMBA/yL0nnoMHilroKW3FtZPzIL5M3Oh 47QSWvZTRJ7AOfIPyhh+j8tMrLdVF7G4C7Zp2l/d04RnHeV+kZy/zv3jt+52 xct6bths7gUVtx3Q8rwX2rYzro4FG5+H7J+O3SGzR+ajTLt5vsL+GdeR+S6c +3JdHTL3Yf2iHbbHdtk+7ZD2aNmP7MNie43d9GOzrqv0S134Rz/pr9LvKRIH 4kFciI9HyhPoEXgRN+JHHIkncZX4SpydJe7EnzyQD/JCfsgT+SJvkj/J8UTJ K/mVPAu+yTufUQfh6ydLXZwPnC118qGPcs9P6oc6op6oK+rrT0JnX1/87Bo1 /oz/jr4W5f70I78zf/0FMssyEduej8zuzYjhXoVtixB6XAOBHbqwq54Ps8pl Ij6eD73C+dAW8bRR7tMwy90Bi2xdmGXrwKxwF2xq18G9aTn2Vs2Bae3DcG3S hUOtPSxLdWFQ8LQ4Foq4m3nKkhtylBsOUdaucDsyT6nBr0sVGW1OSOhWQRjX C77FWsHhXON4YBmS2lWRnnkQhdFeyK61Qvww570sRuTYPparZQ4RO/gkkuIO Iu34boR2LkFU+6pr8xVxzft8znIsr8w9lHWwPtbL+rNr94n2PGW7bJ92hP/C msv0I1H4k9HmLPIUVeHnLumvnsToF3CRecsSiSPxJK7ElzgTb+JO/MkD+SAv 5EfyJPgib+SPPJJP8kp+yTP5Dm1fJPmnDqQehC6oD36ol9/yd8W/85Hx4ZWf cbH/7xialK2cf/2v+lkmF2DgXpErLItEl1kpqncpcFSlUsTiGUgLcEW1YSUG ZtaI+DYLwyJm7Zieh/pHgtEp8ov+B5PRNT8OPfPi0TsrBQNyPoVyPeEzdxXI sUuD9+Wh/YFM9K30Q/PjHji50RgdT7ugc1oeap/yR9fkUpy7s1A594XzOMR5 +B7l3pHK8WW5cg8TXsv7I+XOiHibe8j3i5j/1ORM1KmL2Mc+BtkWaUjyCEZS 5fNI656LpPw9KNYtRsPmKhxTKUfB3iTkWiTi6KZKVG6rgaJwPRSOwWjceBj5 DuGoMkpBZ+MCeeY17/M5y7E83+P7rIf1sV7Wnyjake2JdpM8g6UdtId20T7a SXtp9/V+nh7x89RN/OSZ+BAn4kXcOgV+xJF49q3yk/gSZ+JN3Ik/6yIf5IX8 kCfyRd7IH3kkn+SV/JJn8k3eyT91QD1QF9SHcp+eX+5Xod6ou4v9/5A6/C3m K9ePwbnw5T9x9sRrOFNXjx9TfXEpmPsAivwkOkzEnOIIDcaP0SG4HBGEbmtX FIv4wMUwHoXpg3ivohZDKbU4X5EAf4ds1MQOYzB6GMcOdiPNsxIulqkwNw2F rUUogg8kod6nAv3xHAcl/i6Sc9GZnIj22DI0ZIfjtdIkEc+KuDr86v6DjHV/ iPDHO0UKHE86jJ6oon8zZxmd21KK7qhKdCTmoSU3Aq25oWhPzEa7yAWG40vR Fl8JKyNfpG/aglx1LfwjUuQtaY5y75LP8rbhs+xduJzigKGD6gjVWYEf0/bh YhbXBdsPn4075ZnXvM/nLMfyfI/vsx7Wx3pZP9uxMvSV7bJ92kF7aBfto520 V9r97+Qpo/0qAifiRdyIn8wZRjEV+H6bGIjXy5Ik7sSfPJAP8kJ+yBP5srUI g7lJqOAxRfJJXskveSbf5J38UwfUA3VBfVAn1At1Q/1IHQk9UVfUF3VGvVF3 1N8v6fN/78PvxctyLA4/jBB/uPw5PvpU+Dykib9yLrvPNDmmR+YpPrPkfOqP fO7HhYD78aH/VOQY3AvrFZNhvGISDBY+CtNFa7DnfhHfLngGVo9OgMtSkaOs YH/LBFgsngztp9ShYu6JzXu9sEnHQcTmyjFYqnIPlP3K+ePaXIN4ZN1hrjUs n9lAVcsDT+sYwrd0LmzCZkDVbDJ0D0yDpdd66FipQc9jETSdpor84T5oO86R 89jlmC63u6Hi9Bw26HmIPMBRjq9S1XDElj3u2KjrBBVdOzxrZgmV/Zuxyeol bPWYD023B6Em8ow9AbPleC45V+Wa9b6mQdP9AaiLnIW5izL/mDGSr8wYm7ei HjxbltO6rm9FOfdlhux72R0yR7bHdtk+7ZD2CLtoH+2kvdJuYf964YeK0/PS L/on/RT+0m/6TxyIh8RF4KNqNkniRdyeEvgRR+K5Zay/xl7iLXEn/jr7lXxw bJrghzyRL/JG/sgj+SSv5Jc8k2/yTv6pA+qBuqA+qBPqhbqhfpR9c7NGxopN kzqj3j76R4LU31im8vOIPm/DPhc5+nhsfNuP6H7nL1C0H4Fn7UHEdz0P+8Z5 In5dhb3VD8FSoQfNrAUirl0E3dzlMC/aCJPMrdhXaA7TjJ2wKN4Fw7yH5b4g mrkzYHt4IdyOvQDzQj2YFFhDt2CPiKsfFjH4fOgqFvy6PEUeor2CVXA/cVDk A48gSsT2qV3r4NXpitgOHSR2cY/HFbhxTa7Vco/HMBFzR518Anl1IseI8UBC nhuiOtcjvH/pyDx35b6WYV2LkdykiYx4L0QOrkFk6zKRpzw1kq88Ja95n89Z juVlP8noHBVRH+tl/XGinfw6b0QNPSHbj7hh3v/I+C9hd2L3SukH/aFf9I9+ ugl/6Tf9/9cYKfMW4kp8iTPxJu7EnzyQD/JCfsgT+SJv5I88kk/ySn7J8758 Pck7+acOqAfPWh+pD+qEesGIfm4/5d/4GY0Rv2z+SJmzTM69cS7LyFxsjhHq n5mKvjlxOLk4DlXb6tCkWozGnUU4vLkaCtdI1OyLRNuMVJy8R4HOKQo0PHUA TctjRYybgu4H0zB0Tw4G71HI3/jP/b4Yg+wbuC8X7XOT0LfaG61P2aNvnSXa HndH79x41K+IxZE1gRj63SEMzElC+xO+cu3d8TnK0NiRpxzzdJ3to/PJ5V4r U3IxfGc2BlecQO2OBhFvpyLVOwChyfaIr96Mw0eWoaHwSeTahaNGtRYNL1eh 0NMfh/bF4/jzR1Do6occzi/Z2IBisxSUOAWjV7zDM695n89ZjuX5Ht9nPayP 9TYUPIk68Q7bC02xR+rBAGlH7fYGaRfto52jPl2zHsHIMTTOJ7l3y7jchfgQ J+JF3Ihf/Yo4iSdxJb4SZ4E3cSf+5IF8kBfyQ57IF3kjf+SRfJJX8luzL0ry Td7JP3VAPVAX1Ad1Isf+yXlKN85ZGeJ6cEJv1N14Hf4mPnLM11V7LuNbfPL+ ezh94k9ojWxHQ/AgXs2oxXdhAXJfQe6FfinIX8SbvriSHYG/BIcixjUYwfty 8XpxLZLiu5HiHANkBgGxgfgi3AduFhmItT4BT80qmKvXwUOjEdH+mTgSk4+u nEL0FkahKzseHXEK2Y/QE6PA0YJINGfE4kR+Bv5cmoBvI91FbB0h90kfi69F jPtDdADeLc9BS0IVeiKL/4OcZXzeUoGOpGzlvpE54egVcXqRfwmyvVxxJdkC DXv1EPjCThwx0xFxvTV+TnbGFxlaOF/wAi6nuyJZbw1a3VRw6fAOfBplBp+X 9sgzr3k/STy/Isqx/BcZmvJ91sP6WC/rZztsj+2yfdoh94kUdtG+/yhPGc1V BD7EiXgRN+I3fv954vttpAf+XJYgcSf+5IF8kBfyQ54kXzlFkr8Y/wzJJ3kl v+SZfJN38k8dUA/UBfVBnVAv1A31Qx1RT9QV9UWdUW/UHfVHHVKP1OWYZJUL W/5v/LGIZn8adwV8eqkXw3+xxNDJRzA8vBgfVK7DRx6z8LHfg/jY9wH83Yfz H+7F34Lvx9+DF6DKZQXsHnsOe+Y9De1pujC7TxeGd5vB4o69MLnDBnqLH4LD 8jthsGoejOesgdaDmtj+QjR2GkUp+w00bER8rNzDfZuOozhcR/IUp7E85epe jsrYeYN4x877IJpO2CKtUeQJ7vOgv/9J2KxfgP2LJsJ6/RKY2qyFjufisfW8 tLm3vMgnDBzuwvYDs7He2gSbRRvPWelim/XL2GC/DjuFn+qOM6Hherdcp4tr Cyv3RJkBzYMPQj1M5BOcX88+kv0j479G85HA2dDwGh3rdTVfkWPGxH31oNlX 5+U7KvMc1sP6ZL0HlfXKvV5Eu2yfdtAe2kX7aCftpd20n37QH/qlPeIn/aXf 9J84EA/ior//KYkT8SJutgI/4kg8ieu148zsJf7KvMVV8iL54TpkcmyeveSP PJJP8kp+yTP5Ju/knzqgHqgL6oM6oV6oG+qHOqKeqCvqizr7oGqd1J3Un9Ah 9Tj+L0Op19/Q980vfMb/HHHhy/NI6XsNPoe8YF2/BnaVL8Ikaxd0ihjjzoJe /kOwyTaC9SENmKSpwLrIEibpW2FRshX6eStEDLwc2vmiXMEcGBQsgUnRy9Av t4aBwhKmBZthWLRC3J87EnvfOObrVgfnbOgXLoJ+7uNwKtdCYv9jCGUO0rYM Ud2PIKfDGEGdDiPjw5beZHyYuO5YhbiW5xF7dCtShp9BetlepEf5I6vUHAmD f0BE9xKEt6xCOPevP7lauQ9ljTFi+hYjsOVpma/wzGve53OWY3m+x/dZD+tj vayf7bC9eNEu24+8PleR47+WSrtpf067sRxLRr/oH/2kv/Rb+v8r8bqK7SKJ N3En/uSBfJAX8kOeyBd5I3/kkXxKXsmv4Jl8k3fyTx1QD3aVL0h9UCfUC3Vz Mz3drp/RNZm+PPFXZT4xIVPujy7zFva5TFJg4L4c9LJvZG6iXKeq59509GzI Q9PuKjRuKUP9TgXqjEpQ/1g2jq5zRulGd5QZaiPnxQCcnpyNM9PScU7UPTw1 C2fuzkLr9Gw0PhaKluUB6HnOGsefckb/SpGvLIxFH8cuTRY5yV2FIo4uQOOK SBx/whtHl8Wh+vEQdK8KwYCIr/tEGe7/fubOQpy7QxwTC3CG8y9G1wfjfO/J ynXIhkU8f4Y5zuRCnLozB00bSqA4EIMi+3BU6uTi8I5SlOnlIMcqGeXJqiKf mIaS+F3I1y5Gw8YjKPL0QalxGg6/JPKR3K0oc/XBYZVq5Pp44Yj4W+CZ17zP 5yzH8nyP77Oe4gQ1WW95iqpsh+2xXbZPOxReMdIu2kc7aS/tljG/XJNA6Rf9 o5/0l37Tf+JAPIgL8SFOxIu4ET/iSDyJa5/IhYgz8T7+tLPEnzyQD/JCfsgT +SJv5I88lgs+yevRZ5wlz5JvwTv5pw6oB+pC6kPohHqhbqgf6kjqSTyjvqiz L098dI3+/rc/o3NTRj8/4ge8+8Z76C0TcWJYG9p9W9EV0IWuuG58XhiPn6J8 cCEpEl+kROLj2kK8nl6NKP9S6Gk1It/7BHqThjEQ1oeusEEcsM3D2x7eaLPz RpKqG9REnhdoVId8pzYcizyOrjyRt6fUoSt0GO1R9SIOzkdrWjKa2YeQE4rm 9FQcLfFCa54fOuLr8XWhMy7F7cNXcb4ipg6/GmNHja6pG4i/1GagPbH8/yBn GclbospkXtCalIWBgnB4hgWiMUgHSLQHUh3wWZQlFBoaiFi/C4POhuKeI77N MsKF/J14O0YDfjsfxhe5O3A+2gzeL2nIM695n89ZjuX5Ht9nPayP9bJ+tsP2 vMIDZfu0Q+YptOs/yVPG5SrEhzgRL7mWdFTIuP6qcIkvcSbexJ34kwfyIXkR /JAn8kXeyF9/ymHJJ3klv+SZfJN38k8dUA/UBfVBnVAv1A31Qx1RT9QV9UWd UW/UHfVHHVKP1CX1SZ2Oafj/0VgxjrEZn6dcuvIN3vlnMd54xxz9A4twuns+ zorYYfj0k3i34Hl84jMR74t4/IOAOXglcA0+PKCKNg9N+D1tA90pBtC/0wyW E0WOMskIe++0gPE9xjAQ97UWrYf6imegM0MHJnfpQe8+NxhvT8JWIy9s1bTE Fq2R3+45/khT5Cecq6K5Xxw2Y4eKlu3IOlm22LzHFpt0rBEa74j+9lCcbMzE 6d5EZCY9A6slk2C/YAIclohj7gTYLb0L+7Y/ClOnR6HlfR/UHKdit8uD2OD8 FHZarcezdgZ4bv9u7HKfDh3nidC1v1fkCiI/ceCYqvtH1jCeMa4fROQXIs/Y 4z9LjuvS9HhAOWdFzsUXh/P9UOd4L7kusXI8GM+85n0+l+WY/4j3+D7rYX3a I/Nbxs/jV+73cr+0h3bRPtpJe2n3c8J++rFe+EO/6B/9pL/0m/4TB+JBXIhP lsDpVG8CBgVuxI84Ek/iSnyJs8R7HP7kg7xIfsiTlr3kjfyRR/JJXskveSbf 5J38UwfUA3VBfVAn1At1Q/1QR9QTdUV9UWfUG3V3tnex1CH1SF1Sn9Tp1f/f //SbHSsm+1RG/oy/vvwjGk9+CIvcPJgV7IBu8XxoMT8R8a5FvjFMctfKtXL3 Rb8Mi9DNMM3fhb0FL8g5FYZFi0XMO1f5m75iLoyKHoZx4U7xnjlMFMbi+XoY iVj72rkpvybmHpevFHAN3gdhXGkA/04TRLYtGJn7oVzrK6pzKQK61JHe6ijH U904PuxhkQMsQkKXLpJ79BHcPA+R/csR0/U8EvOckBAfiPh6bUQPinIdS0XZ pYjr2Ib02EAk9z2FgJY1Il9pkGde8z6fsxzL8734Om0kJATK+lgv62c7bC9R tMv2I8fmq4wb/9WjIu0O6FZHtPDj6jrID0s/6S/9pv/E4d/F7po5LoIH8kFe yA95Il/kjfyRR/JJXskveSbf5J38UwfUA3VBfVAn1At1Q/1QRxjR1e2etozG jBcq3sWfXqoXcXGOXGd26L4CDCxIQ99iEXven4WhiSL+v1eB4TvycOzZQtRp lKJKKwuHTVLQopaLwemp6L23EK3PeaDiqTD0Lo5G36xItD3ii9bt5nhtnSkG nrZG87JgnFgTgKPzk+SauX1TRRx7ZxmGJyl/k+eeILI/ZGQMWu+0bDQ9Gob+ hWHItdBD5i4XdM+Nxun5wWh7PAA1T4oYfVU8js/MRv+ULJydnowzM1JxakY6 BrmW1l0l6JhShNbFiWhcHYojunk4sqcYxzZW4cSmSlTrZqFKOxfHNlWhcnsV Cq1iUJG1HocrV6DAywOF2+uQaR2HWpFfVIg8I6/yKRSpHUKBmx86X7lLnnmd L+7zOcuxfKFqPQo8PWQ9h0R9rJf1sx22V62bLdunHbSHdtE+2kl7aTftpx/0 h37RP/pJf+k3/ScOxIO4EB/iRLyIG/E7fc9I/9LI2DHiTLyJO/EnD+SDvJAf 8tSiai55I3/k8ZDgk7yS38HpSr7JO/mnDqgH6oL6oE6oF6mbBSM6op6Erqiv CxXvXaO7/82PjO/G/oB/xqWLf8fbZ99HV/Ygjvt1oMO3E22B/TgRN4TO2G4c yz2FV0tr8Ke0CvRVdGAgaRCZ3i3Q2tqAIIMmnIrpwavxfWgL4roOJxBiwrkK hxC61Q3dth6I3xeILO/jeC32NHpEjtKSlY0W7jUZPID26GPojiuQ+470cG0r 7jEfI7AtCEKPwhwdqUFoa4rHF1mWMo7+Js4RF2MPyDV0L46OY+Ic8bAQfBsX iD/Wp4mYvAy9/0c5y8h8EGFLX3QVvH188WbGyyKGV8H5NF18l2AHpDnhLd+9 SNiqhqRtu/GOryUuZ9jhSuV2KByWo8R9Pr7KM4TXcxryzGve53OWe9fPUr7H 91kPx4Ox3vNpOrIdtsd22T7t+I/zlGtylTKJD3EiXldzlVAlngJX4kuciTdx J/7kgXyQl/E8kTfy1xE8iJbQLsFrDrpF7kKeyXecZaDknzqgHqgL6oM6oV6o G+qHOqKeqCvqizqj3qg76o86pB6pS+qTOqVeqdsxIf/8fydv+Vk5eWbs+vuf v8I7n2Zi4NyLGOx9EMPds/HKgIgTh5dhYHAVXn99G86GCP7cXsZJDyP8xdYF rzu4y3VSrB7YB6M7DGHJHOUuM5jcK+LVqZrQn/c09BcvhfWyO2H4yBTxzBA2 EzSgPt9NxMLB2GYg4lwtc2zXs8N2rs9r5CYOd6iaemCHGQ8v7DL1xE5jd+ww 9oKaoTvU9FyxZY8b1CxdUVScgNNHq3EmKQOveUfiz/pueNtBExnG02A7bwJc OG9iNfOVO2AhYnbtlS9Ae7cJXrI7gC3G9tioK3KgPaKdPSI30nbBRgtTqLnP gQ73gbS/Nke5YQ1jOc9EORdlT7DINYJny31Y2G/CfEPDbxY0fJXrG+9xUPan 8Jr3Zb7D8WIu98v3+D7rkfVdPy/mujXIaBfto520l3bTfvpBf+gX/aOf9Jd+ 03/iQDyIC/EhTsTr1YOROCvwO32sWuJJXCW+AmfiTdyJP3kgH+SF/JAn8kXe yB95JJ/klfySZ/JN3sk/dUA9UBfUB3VCvVA31A91RD1RV9QXdXY2VEXqjvqj DqlH6pL6pE6pV+p23BfAbypv+Wls7NfPePWvX8I6uwJaOU4wKl4Mg6KZMFCs FHHoszDnerkhm7EzaD2sytSwN14FlqUq0C14UMS3i5RxcN48GIg42LhwDYwK NKFbtB/GBVowKVwr19/Vy/+Vc1N+6cinXUthW6wmYv8NiOi4btxX22o5fipN jg9zQ3SHHpK6VorYf2QtL5EDxPY8isQmdcS2PKXs65DzypcjcmCFyBd2ITPR A5nJHkhv34GIvhUI61+EpDxbpCksEdD7GJ4vapBnXieL+3zOcunt2+V7fJ/1 sD5Zb5uyTydGtJfQqC7bV+YiD0u7aB/tpL1pI+O/ru0XWi39pL/0m/7ryXzv P8RwdI5L/jzJC/khT+SLvJE/8kg+lfnNIskz+Sbv5J86oB6oC+qDOqFeqBvq hzqinka/I3663dfQG9dZ9JniL3jHvgMfhQ9gcH4WeiYk4+SEHJydI2Lo+9LR MzsJw4ti0G2Uh7I9uTiur0DfwmoM/K4U7Rvc0LM8HE0yzwlF7RqRS6wJRdeq YByflYnBqTnoFzHv2TuKlHO/5b6ReXI809C9N5nrMNLHIPeBv7MUzdMVOP6s J4ZF/N4+LQfVKxJRszYUzSLeHloaiKFZIehaFI560W7hBl+k7xaaM9iHip2W OPa4K2p3pqByfzIyHSORsj8R2bpFqDZIxjEtzmtRoEa1HPWbDqN6YxOKrCNR XPEkihUvIMUtBBk2iTj8fDMUSVrIizZGnUkSmk/9Tp55nS/u8znLsTzfKy4X 71tFyvpYL+tnO2yP7bJ92kF7aBfto520l3bTfvpBf+gX/aOf9Jd+03/iQDyI C/EhTsTr9Ni60deNJ7tXiTdxJ/7kgXyQl8GpuZKnTsEXeSN/fUtCJZ/klfyS Z/JN3sk/dUA9UBfUB3VCvVA31A91RD1RVzfT2//G59p47grOf/YZzra8gjYR EzYe7EVz1ICIbbvRkj+APxZW4VxmHS6UxeKV3FrUJZ1Dr/Cp6WAH3LUOw2VP LY4FtYo4uAvpTsfhoVUHi901cN19GEl2Tch26US4YyqQ5A1v2yzUBJwW7dTj uMhVOuT+LX0i1m2Wa1t1xxSJo1S5ZpfcKzEBbdmcRxKJ+swMnKvwx7dFm/Fp 4TZ8lb0TF7J08U2SBb6M98TX0UG4GBGOr6PCcJHrJMcGY6hOgbYEkVtFKuu9 evz6GJ9r/vbHFqE+ohLedr74Ls4GXyS74NNcM/yzYCfOZ2jix1RrXEl1RJ+9 CcJf3IEiTS1ciLbFt1XrEa49AX8MfxlhKsbyzGve53OWY3m+x/dZD+tjvZ/m msp22B7bZfu041+v1Xz9cdVv4tCWUC5wyZf4ECeJF3ET+BFH4klciS9xJt7E nfiTB8mH4IX8KNciK5W8kT/Jo+CzI7wLxzOzJc/k+6DgnfxTB9QDdUF9UCfU C3VD/VBH1BN1RX1RZ9QbdUf9UYfUI3VJfVKn1Ct1S/1Sx+MWh/j/IW+5duw/ //vJxdN4/29RePXM0zjVPwWnhhbi9OAT6HrlD2jp0kF7tx7qW1zRUZaJs/u8 8aaJG/5q7Ypurf3wW2AKowlaMJigB+M7daB7n/i+n7sOOqtWwPrhB+Dw2GS4 PzQJ7qsnwmThWmyb6wrVJ+JgYloB470pUDfIhIp2Ol7YEYcXNvpj11obGK6x geUaR1g94QHbtX6wfjYWdpuy4LgxCXqaFTC3acdB30y01otc5UQljpQIHUT5 48OISLyTwn1Di/BqsDWCrVZB897HYDr/MWhM04bZNHMY3GMK0wnC5tnu0FSJ xS6jIBFj22GLlhW2atpAVdMVG8xssNXpSeg4T5b7OWreKmcZzStkH4nIRTxn yj4Sdb9ZY3NROLZLy0nkJHYPyjOvR+e8qI/2zYj35D37ab+QpyjtoD20i/bR TtpLu2k//aA/GsIvo9ke0k/6S7/pP3EgHsSF+BAn4kXc+qICJI7Ek7gSX+JM vIk78ScP5IO8kB/yRL7IG/kjj+STvJJf8ky+yTv5pw6oB+qC+qBOqBfqhvqh jqgn6or6os7OWnmjvTwL9c0uUofUI3VJfVKn1Ct1S/1Sxz/fQuf/rz9yPv3I n+3F735CzvFh7MmMgG3ZehgWzsPeopdhmqEqxwMZp++AeckOGGWvhUWuFgyL F2FfqRV0c5aLWHaxnB9hyN/ri1+AqcIQ5nnmMCpSg2HRw9AvnPdvzk252Rgw 5Vknj/uDiLZrViFlOFDE8I+JWH7VDfvGh7crx4dxPBXHVQWPHx8m59I/jPRe J0R18f2VV/s5WlcjpIPrHz+CmMN6SInzl/upRHf9AUmnnkRGlLfIIzTwTEm+ PPOa9+VzUY7l+R7fZz3h18xRWSnbY7tsX87HHxn/FXzd+K/wG+a1PKT0U/hL v+k/cSAe4/H5T/MW8kOeyBd5I3/kkXySV+X8osWSb/JO/qkD6oG6oD6oE+qF uqF+qCPqibqivvi5/BtfuwXX9AX9PHJDeeaa5ZcvX8aVK5evlvnue/wj9nV8 HHwW75i14LvXzuNd1Ur0TkpGz5RC1Kvlo1E9Dxn7c9D4hzAcVTNBrp4tOhZF oeWxADQsTsbw1HQRByvkXh5n7s6/pv/kpvnJLQ7l/JMcOUe8e1E8jj0cilN3 lOLcXfnKcVEiPueYp1N3lqF3Yjma52aiaU0wGp/0RueiMJyan4POF+tRpnkI WSaZSHKMR66LiAH3haPUzh859tEIDfNDkkcY6vTiUGkfgjTzLNlvUuRnj7zC 55FWrIIyz4PI3VGP4rI/IMUxDk21S+W5uPQP8j6fsxzL8z2+z3pYH+tl/WyH 7bFdtk87aA/ton20U9or7Kb99IP+0C/6Rz/prxwHJ/wnDsSDuMg59FNylPNa fjW21/a/kCfyJXkT/JFH8kleyS95Jt+Sd8E/dUA9UBfUB3VCvVA31A91NKo4 6os6U66Rf1V/4+Oh/1tfGfI7QbQ9miv9ePkSPnzjQ3Q3vo+mxB40Bfago6AL f8qqxCsFh/B5Xgw+i4nEN4mB+C7IF99E++OPpYfRF9aLNIdGmO6ohL/RESQ7 HIW7Rh2Md1WJOLNOXB9Dk387+mK6MRDVhd7IPrjZVaHLywv+9qU4GnsETckl aAvtQntQH1oiWkS8WYquiDK0i/i3PbYAJ1JFDp0biOMZceiMKsfxxCw0K2Lx bmkMLkVY4usEC5xPNRRx9U78M3+LOFRwIXs7/plpgC8SbHAh9gC+jPDBhZgw dFUdwolYkf9E56MjphCd0QXiEOeoIrlvYkd00bij+IajXdznnvLZvjnI8XLD jzHBOB8WjguRgfgi0RLnOZ8+fzP+mb0DP+QY46t4K9ToG8B/3U502uxF78HV SNCbjeA9huI8S17zPp+zHMvzPb7Pelgf62X9bIftsV22PyBzgpvbeb0f9E/6 Kfyl3/Rf4iDwIC4SH4ET8SJuEj/6IfAkrsSXOBNv4k78yYPkQ/BCfsgT+SJv 5I88tkS0Sl7Jb6Pg+Zjg29+hVPJPHVAP1AX1QZ1QL9SN1I9GndQTdUV9UWfU G3VH/UkdCj1Sl9QndUq9UrfUL3VMPVPX1Lf8XFHq/j/6brraZYPzF9tw9j0d dJ5eiIG+OWg5uw7tnQZo6jdEY5MPOpsOoq0pAl1HYnCqIx3vpCnwie0BvOHo h5T1Hti8zA/rH4+ChqoPLHebwVL3aZjvnAk1nanYZvkodB2fgbXbC7D3WAfz Aw9hk/VOqGvFwWi5Nyzv1IflZDtY3G0P/fucoTvdFabTnGB1twX07zGD6vJA WDwdjX2Pu2HjOlfs0kqCvroPnt9pA+cwH3TU+aOvOhgtVSFob/RG2/EQNJ12 R/+QFerOaOCNMy9h8PU9cPfyg/rMUFhN2QeT35vA4vd7sPduXZjeoQGz3+vA cJE79mwTeYtJKFRFfLxFT8T9Wg7YpOuOTc6boOHCvoypypxldK7JrQ575bwR 9qHsDp8DjQMzRS7yoJzLomk1S3kW15y/Ip+z74V7T9r/i3odlbkK7aA9tIv2 0U7aS7tpP/2gP6bCr/+Pu/eAr6pKu/9xxt4VBRRFqgrYK0iTHloS0hPSeyGV JKT33ntCeq8EAqEkpJIeCEUdHduUd0Zn3hlnHLsjCOv/rH0DBMXCOP93nN/1 sz33nHv23s+z1jdh75x7zra8VpMn82XezJ86UI8R0YX6UCfqRd2oH3WkntSV +lJn6k3dqT99oB824gv9MRWf6Bd9o3/0kX7SV/pLn+k3faf/5IA8kAvyQU7I C7khP+SIPJEr8kXOyNu7OWWKP3JIHskl+SSn5JXckl9yTJ7J9flv8H61PyLn OHY6e/bqy3i9Cy3VH3sN3hUHYJhnA89aLZjkrIZTmSOsctbDtmINTArnwbx8 DgwL75PtLGwrMoZ18VrYZK2GZeVMmJXOhVXpapiW2Mm42V7GuSuxrWyu7E+H cbHMZYpnw+Qqiul44XvjIhlTF8o8pZDrGc6GVc1c+B2Yjcze1Uho0UZyj8xN jjyq1le8vPCYzAmOPIIkmROE9egi94gnMnvWIrpjOrK61yFl73okdMtc5cjl 9RI6FiKu7RGZW8xGxsAL2FVuh+y4SOTt2Yb8gw5IK4jAst5hteU+j/Nznsfz WU/Vl3Y0cWjaZj/sj/2yf8bBeBgX42OcjJdxT6x3oTBP5su8mT91oB7UhfpQ J+r1TQ1/bDFWZabyjf7RR/pJX+kvfabf9J3+kwPyoOFijuKEvJAb8kOOyBO5 Il/k7ALsEzn8V/i9mh8Zrl957txZGf+dVdtvlvMXyr9wnxn/2qD5SeJ480N8 OPIWDjuV4MCSLHTOjkFOYBiqg9NxRD8W2Vr26JwRo+4XH7mxGKeu43O/ijFy E9chLJDxcIGMjXdp1rpXz7ni+ixFV19uL8TIDZU49FgUeucmaZ5FxeN81vJt xTKmTsGRp+Xfp/nBODotHYP31GHg8Va0y1zigHY1WrUqcGhdNdrWyJhjVR2a tcuxR28XGtfXo1mnDIf08rFXu1jmGHko9pb5zrZ4pPomIW1HDEqqlqK1/WbU hFoizS8CRaVrUXdwIYpkfJPuF6mO83Oex/NTdySp+myH7bFdts9+2B/7Zf+M g/EwLsbHOBkv4x6cXKfyYD4qL8mPeapnBjNvyZ86UA/qQn3+FV0veEJ/6JPy S3yjf/SRftJX+kuf6fcRgxjxP01xQB7IBfkgJ+SF3Jwd5+jqXpr7eM//ANdq +y+u3/qn/30PQ4d/hZN7D+Pd3Cb8eW81zlek4Oyu8XvjU8KBND6XOBrn0+KA jBh8XZCGPSnDsF+2GyufrYeHTgtCzVqRZHkIe/y7cTxhEG9mDuONtGGcTh7C mOwfk/K6vG8I7YW1WRySwppwOv8gjsWdxLGkUYxktuFkTiXGsqoxXJKD48XJ GKpMwLGiDJyQY6dTd+N0eqOUcvTV5+BcZQCQ7QrkesrWS61hglxvte7JmVJb yUEfZ2q18VX9Zpyr2oozRXZAqSdG93ZiIH1A2juAsdQjOJ6xH2PZu3Eqq1G1 fyqtCae4TW/AqQwp6fVyvF69P5HahHey9yDQX2KMlv4KAnE+3131ye9uIdtH xXOuxBpnKnVxpk4baDLC37JtUW1ogEyZ33qvmA2bBfPgtWKO2ufxv+XYqPN4 Puudl/qavHw07Ur7qh/pj/2yf8bBeBiXim88RhX3eB4qH8mL+ak8JV/mzfyp A/WgLtSHOlEvpZvop3KintSV+qp4XJXu1J8+KD/EF/pDn+jXcZk7DJfkKh/p J32lv/T5VN4h8X238p8ckAdyQT7ICXkhN+SHHJEnckW+yBl5I3fkjxwqHoVL xSc5FV7JLfklx+SZXJNvcv5TXp/hffz6b/l4438s0HZyMYZ7dHB42AOH9yeg Z08wTjbl4K09VTjZXIXD1aUyf4vB6ZgdeCc3F28dbkVDaSVs3OOxbNsWLHd4 Aev8H4K+3/2w2jkZtr7TYLljKiy8pmCbJ59NNRnaMhbXcboVeva3QdsuA9rr m2D5eDKcXkyDw3MhMHncAcuX+mOVbhq2mWZJicV6PU+8bOqHDRaB2GDuq64b rN5qh1XG25GYEYb+g6Fob4nAwT5r9HaaoP34ChwbWoDhobkYG7oPr/Y/iGMD s3Ca23ceg2OaG9ZuzofpS+EweSYBBpOd1Pjd/FZ7mE0yhM0kfZjc7QqDJwOh vTkKm/Q9sdlA+tR1wxIrY2zykTmLy21qDXp+X+s7i8t4cdB810s3WOYoodPU /Spbfe5RW+7zuLon3mFCne9pl/2y/00+d6t4GBfjY5yMl3EzfuZhNslI5cX8 mCfzZd7MnzpQj9Pj+lAn6kXdqB91pJ7UlfpSZ+pN3ak/faAfWuIL/aFP9Iu+ 0T/6SD/pK/2lz/SbvtN/ckAeyAX5ICfkhdyQH3JEnsgV+SJn5I3ckT9ySB7J JflUnAqv5Jb8kuMR4blduCbf5Jy8/yde733xOQIbOqGbEQ+rWmvY1m6Gvow3 zWqfg37tDOjXCRfVMp+tuR+61ffLdoZsp8Cs5hnYlXnBotkAho1rYF5tBbNq PRjWPwfD2mnYWnMvtsr5W2sekDrTZfsDpVpTdKXoVE2HdtX90Ob72unQq5c5 z94H4HDwIfj0zETE4FxED05DzHEbJL1igbC+qYiUYxEDs69YIgfnyHYOogan I334KXgPuiNhVEfemyB5TAdh/fdfsX7kILdzEd73EMJPPIioocVILXNDSmm4 /PoLh7uRNZIiImU/TB3n5zyP57Oepv4325yr+ksZ0/TPOBgP42J8jFMT73fl Mlfly7xjjlsrHagHdaE+1Il6UTfqRx2pp271JY1/yAuNXw+M+3ev8pO+0l/6 TL/pO/0nB+RBw8X9ihPyQm7Ij+JIeCJX5IuckTdy93N9ffkp8MVnwFdfyJyK U5CvZCT5+Rmc++IL/OHtd9A6cgC9r+2V301teKO6DV2ZDchITUGWfzIOWObj iPouQz4K9RvQv74BvcZtaLE9hBKzfBx/pgGvPNKHnvntODhjPwZur8XJm2tx +hYZ99wiY56b6zF6Yz2GbqjD0HU1GP2F/O6YVCGlHCekjI2X41KOjZfjk8pw /JoyjI2XE9eUq3KK768tR8f8cHTLWHv4hjL0PJCCzkciZDyfiJ47y3B0+kH0 PN2Gdq0DaN3YhP1r6tG6ugGtaxo1ZV0DDqxqUs8Q3r25Fu3L9+LQCpnTLN+H gyv2oX3pPhx5qRX7lx3E3jXNaOOzwnSb0GCZgfo0LRSWrEJN9xSc3vtLteU+ j/NznsfzWY/12Q7bY7tsn/2wP/bL/hkH47kYm8Sp4pW42zccUHmofCQv5sc8 mS/zZv7UgXqcmqDRBc2oH3W8pOklran7SVUqlB/0hf7QJ/pF3+gffaSf9LVX /KXPx8TvErM85T85IA/kgnyQE/KStTMZGSkp6JLxJHkiV+SLnJE3ckf+yCF5 /OcXGj7J6b/zdeHvyv/z1m/RUFSPRN8SFDkEo2m9F5r0vNG62RnNq7ajUcsT TVIa1nujYaM3Gjd6oXGDlE2eaF7thTxPHyx4OhXTp2Zg8ZYCWJmWwc2xCjuc q+FmXwknmwo4WFXAUbZOE4qzTTnsrGqxQDcZpvZJsHcqg61LNmw8E2Hr5wMX f3u4e9vDJtAdDu7RcHJJgLNzEpxdY+HsFiMlFg7O8fDJNkO9/XNoMH0eDdtk a87yLBr5ftvzaDJ7Ho2mi1FnvliOPY1q+0fRKOOX3Zaz0GS7FDu8M+BgWS8x 1cDBthYOdjWwt6uCvX05bB3LYONcBOvtObD1kPGhexyc3WNhJ+/tnPNg51SM bbaeqDZZigaTlag1eRm1ZstRu22J9LdIyotoMFuEerMlKpYy+/lodpqMwz5T kaj3OKxnT4fL7EmyfUDt8zg/53k8X9Uz07TD9mq3vaRpX/phf+yX/TMOFY/E xfgYJ+Nl3IyfeTAf5sX8mKfKV/Jm/tSBelAXpc+2ZzR6iW7Uj7EoPUVXpe82 jd7U3Tt7m/KBfihf6I/4RL8c3KPEPw/lI/2kr8pf12zxuxymdknif4rigDxM 5MNxnBu+J0eKJ+GKfJEz8kbuyF/zam/Fo+JS+CSn5JXckl9yTJ7JNfkm5+Sd 3JP/iT8P3/MTo/7/2cefoe+VVOxu34Xuxv0YansFw/vfR2/da9hT3IPeuEq8 FlOMd5Jr8Ju0Zvw6fY+8r8VfImXeXdAK88oUPJtijI3JK7E5bRV04pdhU9Rq bIneBN04Y+gnWsEgyQk6CW7QinHBymAbvLDDFC/Yr8RqO13oOSfiZRsvrNse gs3bg7HF1R8bnDyhZeeM9dYOWGPliDXWrtCy9cBG6+3QsnLFeitpy8odWk5+ yD/ghM5XDdH21hMYPjkfA6/Nw/FXHsKxsUfU/qiU4ZMLMXRqAUakDMn7Y8ce xvDbc2EaZY4NNjuwVvrcJDFYe2RJDFVYaZIBw7VBsFkbA9fl8XB9OQs6unXY 6jUEHZcyWLiUYItXJNZFPAWdWK5HP1XKlO8vsZqtTuS92BI3DRsK78OapunY sOs+tc/jE8/7/jJV9cv+GQfjYVwqPomT8TJuxm8geaw0zcAWyYv5MU/my7yZ P3WgHtRF6SOFeml0m690pJ7UlfvUmXpTd+pPHzR+uGr8EZ/oF32jf/SRftJX +kuf6Td9p//kgDyQC/JBTsgLuSE/5Gij8ESuyBc5I2/kbkz4I4fkkVy+m9qs OP1VbLHilvz2CMdDwvPQ4dOKb3JO3sn9xJ+D7/4p0Xz+u48/RnfpLnTk5aAt Jxft2Tk/qrSpbTZaMrLg9dI6bH/pWQT4mcPfaRF8PZfCx/VJeLs9L9sXpSzC DrfF8HF78WLZIcc95Ji/0Ur4mRnCwcEcQR4vw2f70/B2ffaKdb6zbJf2pPi5 L0KA5yKEei9C9I7FSPB/CcmhS5AbtRTlsctQGbccNfHLURW7HBXRy1CRsBI1 cn5d+FJUyGcVcs4PlxUoi16MisSX0RiyDQ1em1ERsUjaXvED9aTfmBUol7o1 aS+iJtYOdU8/jP47Jsl2nuzbquP8nOfx/O9rT/UXsVj1zzgYj4or9ofiGC+S L/Nm/tSBelAX6kOdqBd1o37UkXpSV+pLnak3df8x/igfxU/lq/hLn+m33zZD 5T85IA9XqkN+NBw9qbgiX+SMvJE78kcO234kt4pd4Zy8k3vyP/Hn4cpjMM3f ld/56wAGh4JwcjQcYyOhmjI8XkZCVDl5PAgnxnYiL08HKSVrEF/zMuJK1yAn TQe10aZoT9qM/bFrEB23AZEBFkh2cEW9iS8O23hgn/MO1DuGoMk6DC2WgTho FYAD9jvR5BiAPXZ+aA/yQr2vG1rcwrDfKxgN8nunziUAe+390O0SgiHPWPT7 JKPLKw0H3NNknJCKWttE7DaJQrt2MLq1w9CnE4kh3WiM6sbghE4sXtGOwekt cTixOR4jm+IxJOXohnh0a8WhU0r7+liZD8SjZX0U9m7diYOGbthr5oG9q2LQ sjwJfe6FGPSTcb1HGA44BeKAYyD2qSJxOe5UpcVBcpA466KNsDfEAE0hxtgd Ol7kfZNsm8KM0BxqiGbZbww1QUuwEXYHmKPa1wklJYtxqvIa/DrpRrXlPo/z c57H81mP9dlO03i7F/pgf+yX/TMOxnMhNsbJeA+MF+Yx6J+o8mJ+zJP5qrwl f+pAPagL9aFO1Iu6jUoZEx2pJ3WlvtSZelN36t+uHaL8oC/0hz7RL/pG/+gj /aSvjeIvfabf9X5uyn9yQB7IBfkgJ+SF3JAfckSeyBX5ImfkjdyRP3JIHhOE S/JJTskrub3A8CWmNYW8k3vyP/Hn4ften//jI3R2taGpbTcK/UtRGp6FI97B aPMIxVEvHxy19UKXnS+6HXzRae+PDqed6HTyV6Xbzh+7I2XMtKEEM6dl4dnl u7DRvBR2Mi4O9KtHXHATogIaEerXgMAd9QiSEuyrKWHyua93E543ioSDfyBC AusQFJKLiPAYxIcGItY/HOHR3oiKd8DOBF8ERsYgJDgVoYEZCA1ORmhIiryP R1S5C/ZHbMGhnVo4GMiyHgcDZBuwEYf9N+FAwBYcCF6DQyHLsTvhWRyOn4nO yNno8FmO6kwrhCRXIMinASH+tQjybZDfWY3YGViFgJASiWcXgoMKERgoJTQT IaHSZ2gygsIysDMsW0oF9Lcno2LHZhwO2Sx9bZQifQZulDg24OBOObZTBweD 1olOS3Ew9mH0JS3EIZ/FCNZeCMfH74PLrOvUlvs8zs8Pxj6iOV/qqfrSDttj u6p95ib9sV8D6Z9xMB7GxfgYJ+Nl3IyfeTAflZfkxzxVvsxb8q/OtFR6dEbO EX1moTn+ORwMWSG6rVX6UUfqqXQN1JRDO9cr3SPLXZUPyg/6Iv7QJ/pF3+gf faSf9JX+0mf67eAfJP5HKQ7IwwU2yAl5ITfkhxyRJ3JFvsgZeSN3zcIfObzA pOJTOCWv5Jb8kmPyTK7JNzkn7+Se/P+413n139mzX6Lv3Ub86ngyBscy0Hlg P5r3NKArOw/vZuzCH0v24NfFB9Cf24zBmFz8xjcSfwhMwnsByTgh85fYphyY Jm+HtvwutIteDhv599w+YgmswtbCLHQDdIXjtT4vY5nbIqy2fAQmW++Bg9Es eJs9DhsvU1g5V8DKPEdKHLaY+GGV6Q6stgrBRtswbLELla0/Nlp6YIOZK9aa ylxFfidulKJlLGNkU0/szAlA2wlrDPVuw+FTa3D8xFMYHnsSY6fm4vSxeTgx ugAnj0kZfQJjx57A6PACvH5yNqr7ZV7l7y9tBmGbRSw2bMuD1lIvbF8WBoc1 WdBeko4Nj8XBck4QLJ5NhMW6dKwxyYO5fRG2WEVjtaMddPwegoHfvdD3m/rD xX8qDHZMkfOnYWvkdGxOmQatvGlqy30e5+c878e0x37Z/2oHWxUP42J8jJPx Mm7GzzyYj5vkxfyYJ/Nl3syfOlAP6kJ9qBP1om7UjzpST+pKfakz9abu1J8+ 0A/6Qn/oE/2ibxr/wpSf9JX+0mflt/hO/8kBeSAX5IOckBdyQ37IEXkiV+SL nJE3cndS+COH5JFcDkTnKk7JK7klv+SYPHe27sOQ8E3OyTu5Pz/hO8rf93PC 18df/gV/+P3r+PU7b+H0a7/G6VfewOlXf0SR816V8/uOvY4Y/wQ42PjApyAT xS2lSK6JReruSCQ37kBiox+SGgKQVB+E5IZgeR8oW74PQEpjOOzDfOGf4A+f jARk7KlEalOEHJd6Df7jdYJUnR8sjdJuY5DUDUJaUxDS9wYj50AIig6GoKot BDXdMgbsD8fhoQh0jkSgQ7btUuokpqNDGWgbCsOR4Ui0D0d8T4mU8yLkvECM jBSgek86cgpdMTCYgLbh8O+tf2RYxjkDoeg4EYz+Y+lob2pF6roVODztWqSs exntMufkcX7O83j+d7cVqfpjvzlFbhJHhornyEigiq/9B/JQ9SXfo8MZqG0M UTp0jOtCfagT9aJu1I86Uk/qSn2pM/X+Mb4o/8RH+klf6S99pt/+CTthF+an OCAPF7xWnNQHKW7IDzlSPAlX5IuckTdyR/5evUpuyTl5J/fkf+LPw5Ve58b/ Rjb2+7eRcrwEua9WIOeV8vFSJqUUOa/J8TeKUPBWHsp+k4W9f5Z50ftSfpuH /a/twv7Xy5DdkYztNdYIOGCK2DoXJCcHoDA2AEFxLnCK9JJ5WgQSrEOR5haK hO0JiHNKQ6qMaXMcU5DrmY628ETkZrog3j0FeU6pqPbKR6VXCTLdSxFpvwuJ Rqko2ZKAer10tBjmYJ9xAZqMC1FpJHEZFCNbrwiZOoXI3FSAnHU5KFmZgbqX ktG4KBkNUuqk1L6YjBop1VKqXkhG5YtJqHw2DRWbfNGy1hOHn5c5ko4LstaH ouKFVBQZlaPUoxg5PlnI9EpFulsS0l2Tkb49Rd4nXyypbqmIjPaDd/xO7IgJ wg6ujREXiB1SfOMC4Bcr76OD4RsdggAZK3hHhcE9JgJWud4IGHwEx6pvxJvZ 16ltwMAjsJTj/Jzn8XzWY322w/bYrmpf+mF/7Jf9M46Jcak4Ga/EzfiZB/Nh XsyPedbpuuCQ5M38Kzb5KT2oC/WpHteLulG/+kUaPakr9aXO1Ju6U/8CgyLl B32hP/SJftE3+kcf6Sd9pb/0mX7nZrlo/BcOyAO5IB/kRPEi3JAfckSeyBX5 ImfkjdyRP3JIHtt+m6v4JKfkldySX3KsYbr8YiHv5J78T/x5+LGvz/75GX7z 6q8wVDWKvuo+/K6wEb+tacZXjen4Z04ykB8FJIcCiZE4nxKN84lROJOTgqGa YaSZH4LukgY4bNmLSONW+OnvQ/y2g2jy7cJI7ADeSB/Gr1KGcDJxEMOy/6uk QeTt7EaYdRTiQ+rwSmkZRmLGcDxuDMPJfRhJO4BjmVU4nl6FoYICjBQnYaA0 AaN5BZrvPiU3YSytAkPlmfiqLghIcwUyPIF0b80zf3Oc8FWZKc4Xb8UXdRtw tlwbX1UY4KtCJ3yd6Y7PmkNxvGEvBhOOSD/SVjq/48X1F6Wk1eFEeq2ML2vl 3/ganExlqbusHE+txVtZDYj0q8SR8J3SXwTOZvpJ324Sg6eK5dwua5wpk/4r NwLVBkCpA4Y9zZH6shmqbbQRtGky7F9cobbc5/Fhz23qPJ7PeqzPdjS5ear2 VT/SH/tl/4yD8XwzRhW3xM88mA/zYn4qT8mXeTN/6kA9vs5yF32ccaZcX+lF 3agfdaSemmcpe2tiEb2pO/WnD/SDvtAf+kS/hgrylX/0kX7SV/pLn0+Xlorv tcp/ckAeyAX5ICfkhdyQH3JEnsgV+SJn5I3ckT9ySB7JpeJTOCWv5Jb8kmPy TK7JNzn/Ka/zOIMv8S7e+lsSBl95DodPzEJH9wZ0HrfBka5EHG2Lx6HWDHTU C6/1MXi9pUBKOQZbG/HXpkb0h4XBxiMRz+qnYK29F8w8jGHm+ygMXG/DVo/r 1fOuTHynwcz/ARgHPgCjgPthsnOqHJuCNY7e2LQ8A9a32MP+OlNoT/OG9uPx sH4hBc4vRmHbk65YvsQPq/UyYG6aCn09X7zMNe23+WGjqQdW6NrBYYcHDjRE 4WirjKXE95YeV/R268t4Zp2MtedjeOhRDB+7DyeH78Mbr8zHwf6t0HXMhNHz MdB/LAZWt1vD8nYnWFxnDqtJulK2wPoGS5g+xu+CxWCjoR/Wm26H1lZ7LNNz x6rtL0DX6xYYut4OfVfNOinfWXjfvfMdMHC6E1t9ZY4RPU2zTkvkfdjqotmq fTnOz3kez1f32X9fu9Iv+2ccjIdxMT7GyXgZN+NnHsyHeTE/5sl8mTfzpw7U g7pQH+qk9BLdqB91pJ7UlfpSZ+pN3ak/faAf9IX+0Cf6Rd/oH32kn/SV/tJn +k3f6T85IA/kgnyQE/JCbsgPOSJP5Ip8kTPyRu6GhL9fCYfkkVyST3JKXskt +SXH5Jlcvyl8k/Pz42vs/SdedWO/gl1eBUyLt8OmZAVMSjZBv3A5jMsfh27p VGytuAtbSm+DTtlkaJcIL2XCQ+kLcKx0gVnpSzCtnQ+j0vXQrbTE1nItGJbP gm7FnXLuHdAuvQc6pVJHbX+48HztknuwpfgebJayqXgyNvGzsntgUHsv7PZO g2/HAwjvugtJY9sQ2a+HkM67ENb9oJTp31EeQGjnfYjtmQL/o+tl3x4ZA08h ZcQA8f2bpP7dCL9i/QcQ0jEdQT2TETEyC7F79ZGc4omsWk8UJMZhRXIFCpLi 1D6P83Oex/NZj/W/2Sb7YX/sl/0zjvAuO/j3rENc7xQV55XqXSoPqnyZd7Lk Tx2oB3WhPtSJelE36kcdqaf2j9RfZ9wvjQ93KB/pJ32lv/SZfpuVvCT+uyoO yIOGi8mKE/JCbsgPOSJP5Ip8kTPy9l/3kh/Pzz89h3NnvgDOfgx89Qm+/vQz HOkbwdGBI/h1exvea+3E4ZIyJMXLz7prCQatZC5gVYrGdTVoc27GAdtqNC1P wavXNuDNGxrwys0NOH1THY7dKOOHayvxyqRynJpUhpOqlKpyelKJHC/Bq5cV OX5NKU79Qs77JdeUvLyc5vbaMjmvEoM3F6PzsTCM8h576WPw9kL0zIpH1/xw 9N6fguE7ZOw34xD6XzyIjk0tOLihDodW1+DwmjpVeL9Ix8sN2K8tY+VNVehc 0oLO5c3ofWkveha34MjSFrSuaEHH2mocXF+FKpNS7DEsQHOENQ6WPoyios0o apuNoYEbUNw2C8Wyz+P8nOfxfNZjfbbD9tgu22c/7I/9sn/Goe6nGY+NcTJe xs34mQfzYV7Mj3kyX+bN/KkD9aAu1Of0FbRTeoqu1Jc6T9SdPtCPC97QJ/pF 3+gffaSf9JX+0mf6Td/pPzkgD+SCfJAT8kJuyA85Ik/kinyRM/JG7v6v/3ng Wq+X5jZn8eWZr/D2qd/jSPEY9sn4sSOqC227hvFaRRNO5u7G+7XZ+DAlAR+l x+DrVD/8Or8GffEjOBDSgR36u+Fp1IzKHe0yZzsEzy3NsNzSdNk994PJvXL+ IHycSvFuuC+CHEvRmrIfh3KL1HOMe6L60BlzFN0JzehJrEBvfK28r0NXSina 8hNxuDhc3pfhcE4OWksz8Vp5Dv6ZbIYPeF+9en7VGnxYuB5/L96Ev+Va4aO0 7fgwORAf8vm8kZH4kOsbVlajK4bP1SpTffTwXvSk8cL3iVWXSlLVpc/GC+9d H0yWn4HIEqT5euJsYjD+HpOMvyVH4G8Sxwcla/CBxPBJvhnO5znjVT9bJK3S RvYaffwpYxv2eN2HMttHkaRvrrbc53F+zvN4PuuxPtthe2yX7bMf9sd+2T/j 6E6s/FaMKu6JeXwrR03+1IF6fFgar9FHdKJe1I36UccPC9eJrmuVvtSZelN3 6k8flB/iC/2hT/SLvrEP+kg/e6L6lb/0mX7Td/pPDsgDuZh4rz25IT/kiDyR K/JFzsgbuSN/5JA8kkvySU7JK7klv+SYPJPrC3cfkvdz/4bnV355/hP87i8l ePcdE/Qfm4Khow+i78QT6OAzmPqM0dLpi46WIBzeGyzj10ScSsrA2yau+K1L AFpNg+E7bydMbvOA1V12MJy5Geue2Yj1W1bBbutL8DFaCH+dOXDbcC9MtCbj Zdu5WGLvAB3TGqxfUYQtT8Zj/Zww6N/tBqsbTGFz4zY43GQFmztcYTvFD87T /GB773asfzQOpsuLYfNSDJatTZAxehnM3WNQVxuDkwfjMbRbxrQtmWhvS8dh 2W8/EolXjoei45AHBvcawXpJOIxvcoLlNdZwmGQG65vMYHO9Hmyu3Qrzyc4w XhQDbWOJxdIfa4259qED1un4YLmtHdZ5PQ4jj1tlPnH3dz/XeOKzjblmCu9T ibpPsx6k1NMNnKruV9nqMEVtuc/j/Jzn8fyLa618z7PB1FqTUo/xMC4Vn8TJ eBk342ceRpLPNsmL+TFP5su8mT91oB7UhfpQJ+qldGvLEB2zlJ7UlfpSZ+pN 3ak/faAf9EX5Iz7RL+Wb+Ecf6Sd9Vf6Kz/SbvtN/ckAeyAX5ICfkhdyQH3JE nsgV+SJn5O1kcobi75BwSB7JJfkkp+SV3JJfckyeyfVPe53XrN/1L5Zz52T7 teZn9X/++kdE7xuCTWESbMqWw7FuLcxyNsG5whmWuVqwq9KS8eYjMOca6HyO cPE2bNv1JOxKLMbXfHwQ5hVPSNGHXakDbEq3waJymboX26RsBkxK58C0lOfN 1ZTS8VL2/cVswvkmJXNhKMWkfC6c98xDfPtzyGgzR5qM+dXzi7sWXl66FyK+ 63Ep8xB79BnkdTsiq8sRMfI+rms2UjsWI23/FqT0PSH1F0yo9xgSOh+Teg8j ZXg+8tv0UJgRhPyCENlfg7RKW2SWeuCZ9n1qy30e5+fqPDmf9Vif7aj2xttm P+yP/aYeWSxxzFKxZUtcjC/26NMqXsbN+L+ZE/Nkvsyb+VMH6qF0KbmkqdkP 6HpFD8Qf+kS/6Bv9o4/0k77SX/pMv+k7/ScH5IFckA9yQl7IDfkhR+SJXJEv cqbI/fqshr+fwO/V3BfPf4vOnvsaZ89/d/n6Yjl7qfA5Ted4J/SEZ1/iO57P 9LXmX74Pjv8Wr3P8fl8JGuT3y2HtGJQExiLJNwwdj/mg1swM++7PwYnbstHH e8JvkHHyjaUYubVE3dM9ekchRm4vxqgUbkduu3IZvWzd+ktlhG1IGbqjGIdf CEDXvfkY45qQt3GdQ/ZXgf47C3GE959zPZHZURiQ/dF792Dg+Ta0bdyD1nXV 2Le+DrvXN6BBqx71ejIPsUjDfp0iVG8tQ6ZLFop8YrDXPAF5OyKRHByFaqNd iM2yw66DD6Op/mHkOKahKN4e+dn6OFjxAvKyDdQ+j/NznhebbafqsT7bYXts l+2zH/bHftk/42A8jIvxMU7Gq+KW+JkH82FezI95Ml/mzfypA/WgLtRH6fSd Gn6H7hN8oU/0i77RP/pIP+kr/aXP9Ju+039yQB7IBfkgJ2fHufnGr/UrXGU/ d5HFy/gcZ/b7uCb3V3td5WIo6mdtYhSf4/13f4fRA2/KOLMbh/370BY/iqNp R9GeNYqxugN4M6sGnXsGcDBlBH3pfehOOoZ0uzZYr2tEhsMhnErrRXdMD7Ld D2OnQQtsdXbLv7XN8LRqQ5JjApAWhBiPPDSFDaM35RD2Z1bhSNJB9EYOoCtW 5iwpDTiaXKFKXyLXCWlAd3IljhTFoavSC/t3xePUfj/8o341PsrfjH/kmeGz dBt8lOqLTxLD8Ul8jCqfxsfi8+hwfLorAYPl0kZsNfqSK6/6OcYTn2c8kFyO Q3FN8HcJx0cy1/iw2AR/KTWQ+YUOPs2wBXI98OdoRxRpb0XCyo0Y85ZjVeZ4 O+9ZxBpdiz/J787gpWZqG2t0nTrOz3kez2c91mc7bI/tsv0Pi0xUf+yX/TOO q3+e8aXnGlMH6kFdqI/SSfTSaBerdKSe1JX6Kp1Fb+pO/ekD/aAv9Ic+XfCM /tHH3kiZNyQdEH8rlc+N4jd9p//kgDyQC/JBTsgLuSE/5Ig8kSvyRc7IW+ee fsUfOSSP5JJ8klPySm7JLzm+xPi/63mVF571emEP+NunfTj9jiWGuD5k3+04 NjodoyOPY0jGg23Dm9HTuxVtfel4wzUYr9m74Dd2/njDxhtFyxxhfZsFLCbJ nOO6bbC+3gCGt22A2T0LYPrAPXB68BdwnjUJ7nN+AcM5z8HiThdY3OsEU71d WGkTglVcG93AD4Ym0TA3T4W1eQbMzTJgYJIh4+9sbNqahlWbErFMKwGLtmRj uVEhlupmY6t9KsqLEvHX46N4takLJzMb0RWUibfsPPBbR/m9usMdIS/cCMsZ 18Bk1jxYzXgGeg/oweI6fRjd6QD9J5Khq5cELTOO+R2xTs8R6/W2Y7WhD5bZ bYOOz1QYul+Yq3zfPGJ8nuIuc5AwzRxEb8c9mvvkPSer54CxDV23qWqr9j01 66zwPDW3kXqsf/kakd9RpA3GxfgY52quNy9xM37mwXyYl/4TKZKnvcqXeTN/ 6kA9qAv1oU7Ui7qdEv2oI/WkrtSXOlNv6k796QP9oC/0hz4pv8Q3+kcf6Sd9 pb/0mX7Td/pPDsgDuSAf5IS8kBvyQ47IE7kiX+SMvJE7xZ9wSB7JJfkkp+SV 3JLfy9e9/889y/jC6+sJf1MYeOcjeJY0QK/IBi51s2Uc/KB63pNF3jo4lNvB Kk/mLUXaMMraBNsmmcsV6sKs6NGLa6+YlPF5uHNhVbZKxtG2MJY6FmUrYMZn R3ENwpKrW8f+u55prF84A5b1MkcZCkTskYVXeJ6xZv3FuO5ZyO9dgqguL4T3 GiCtZ44c1zy7OF7mEXkD3ojlM8Qu1Jf5RGzHXMQOzkFSz3JkFfshLSUAmQf0 kDAyU+YVq5GdEobEwVV4vqxGbbnP4/yc5/F81mN9tsP22O6F5xGzP/bL/tVz lyWetJ65Ep8+ojs8UCDxxn1rfctLzzNmvsyb+VOHn/osY83zjB9S/tAn+kXf 6B99pJ/09cIaLGZF82EvvtN/ckAeyAX5ICfkhdyQH3JEnsjVlXj7b3pdeJLs +QlrYpz57Ay+PvNPvKl3GMO35eNtsy68vXkfDt8YI+PoTIxNycYhnVpUaTVi v3WJjKMrUbkoDHvW2WP3MxHY82IQhmZFouWRZBkD78LArWUYub5arVV4jM/L vaVIrQ3yY567e+lZu7L/yxoZtydgYHo6Tv6yGqM3lWPgRhnb3VKGwTt34fid eTh1ez6O3ZWDg7NSULU4CCWrvVG6NAh7N2djv0s+9pnGYbdpKgo849WzhcMy vVBjnYxW0ySUe8Ug2yUdTZsrsF/mEUWWBSgs2ICq/JXIiHFDrlU+yrYVoqZk OdLdMnGg/R6ku2aq/VI5nmOdr87j+azH+myH7bFdts9+2B/7Zf+Mg/Ewrn0S H+NkvIyb8TMP5sO8mB/zZL7Mm/lTB+pBXagPdbrwzOgfoy19UH6MryVJn5Rf 4hv9o4/0U/kq/tJn+k3f6T85IA/kgnyQE/JCbsgPOSJPF3k7N/4M7f9r0L/j df4ba8F88OHfcKrrFLpSe9Ae1IGe0G50R8j8JW4UbTnH8FFJCn5TW4TTWbvx xu6DaE0fga9FC4y3HEC1VzdeS+P6f/3oiOhCzY526G2pQZK2JxoMPRG51ReR TocwFN+PoeQB9BYXoiu9GV3ho+iMP4JejoMTatGbWIfuNM0690cKY9BTZSXj 5GC0V9Thoxw3fJnojM9SPfFxUtj4HOXCepHR+DxGjuUkoq9sLzrjatD/U9ZX 5Br3idXoja/HcHoldkTuxGjWy/iyUA8fp8qcJGs7Pk91QrO5ASKWbsIRO2N8 le6JMyX6+KJ+JRKNHsPRqKfwj1xr7Fyiq7bc5/Ev6lep83h+u9RjfbbD9tgu 22c/7I/9sn/GwXh+ypqR1IO6UB/qRL0+TYi+uF4k9aSu1Jc6U2/qTv2VD+KH Wtc+tUT5pPwS3+gffezK2K18pb/0OdLpICL1fJX/5IA8kAvyQU7IC7khP+SI PJEr8vWb2mJ8VJwi3I0q/rrD+xSP5JJ8klPy+n08/xt/UjTjuvOXnj3+3mfH 8dv3knHy5GKM9N2j1hV/lc/dOj4Dp08swpspj+GVsIV4w2c9Tgbq4i13L/Ra e8B/oQdMr7WG1XVmsLvJAlY32ML8djMY3m0E0xmLYDFzDiwfvwGmt5jA6hpz OF5vAf3VqVhnsQNrDOykOMvY2wWrDVxV4f5aQwesNXLAOiOZSxjLWNzQDusN bGVrj9W6Dliu6wjf+J3o2xODkw35OJWejld2ZmDUywBxyyfB8UGZJ829Bp6z J2G7FMeHboDN2oVY66GNDW7aeMl1E1ZIn6tM3KQ/D6w28sRa95eg530rjLjm /PZ7vne9SAPXO9U1j61BU9W6KlsD7tWsAemm+Q6XTuQ0tSYL3+u6TVNb7utG aN6r74/xmNRT9YM0117Y7veuFylxqfgkzrXui7HG0EPFv8rYTeXDvJgf82S+ zJv5UwfqQV2oD3WiXtSN+lFH6kldqS911uhtp/SnD/SDvii/xr2ib9ynj/ST vtJf+ky/6Tv9JwfkgVyQD8WJ8EJuyA85Ik/kinyRszdTFgp3Lyr+yCF5VFwK n+SUvF56dvF/ds2VK73UM/fH/2b96dlzKD88CN3cLFiXroJh5T0wlbGsSenD sK5+CZ5perDLNoRd8VZsTtGBZanMYSp4HeVBGKo1Vjh34drpM2FWuRRW42ux mH9rLZZ/fd6iqfcArIu0kDmki5jOWePr21+YqzyMVJmbhMocIF7mKvm9SxE7 YQ7AbeLRR5Hcsg6ZPSvVuiixfI5w3yykD72A/Ep7FCfLPKTBCknDTyO66yHE DyxAbnYA0luMENm7EIsqW9WW+zzOz3kez2c91mc7adIe22X77If9sV/2fyke Kd2zVZzxnR4I7dFT8WvmVhfmLAtUnsyXeTP/n6If9Z+45or5+JorVmrNlaXK PyO1tudDylf6S58tSzdgS6qO8p8ckAdyQT7ICXkhN+SHHJEncvX1xesi/6Uv 9QBxTfxf/+Mr/DHiOF5Z0IjXNzWj59ZoDN22CyOTdmFYyrE7SzBwewE6Hs3A QZsCNBpm46BVLjqe5/O+qtAxNQ/7HsrA8RvL0To9B+1Ph6D7aT/sXe6NsXk7 0TFDxt637kK/jIePXV+FsesrNGuysNx65XVDuNbIwM3lOCZxHJ0bi9JVfmh6 Ih79C0NxfFo0eh6KQ8OiEBSv80P5qp3Y91Q4+qbHYeyeOIzMisb+5X4oMXBE 7gZHVK7PQ4P+brRqlaBNtxB7tctRb1SA2i3VaF1XhzZ+R2xZK8qMylCUrovq lhkoC3STeUcxip2T0LR6L4qqlqDMNRb7LRPRO3aN2nKfx/k5z+P5rMf6bIft sV22z37YH/tl/4yD8TCuComPcTJexs34mQfzYV7Mj3kyX+bN/KkD9aAu1Ic6 US/qdsW5H59bPK459acP/beVKV/oD32iX/SN/tFH+klf6a/yWfym78p/Gw0P 5IJ8kBPyQm7IDzkiT+SKfKnXufM/p38m1Euz1v2FoM7js4//F2+d/D16imWs KGPLnmApKX34XXUxzoQE4aukEHyUES3j6kR8vDcfrTG12OGYD2/XNhxJ6MGQ jDFbwo8hyjEDXyQE4Y87w1BvE4j1m2rgvGU3goz3o8i7Da0ZFThaUI/BxCFp vxUdWRlo2xWDdhkXH8lLR5fMW1qrQ9C+KwrdWXX4oNEPnyW64aPEWHwax3F2 pBprf6LmKhH4NC0OvZX70CFj6X61/uS/Pk85mlAv4/IKtOUnob88GlFhydgd KPOUbHeczXZBv7sZYpdtRqU+14d0AHK344M8fXxZrYX+nZsRazwfX9bo4oN4 CwSu0FPbL2t01HF+zvN4PuuxfoW0EyPtsV22z37YH/tl/4yD8TCunzJvoS7U hzpRL+r2ycU5S6TSlfpSZ+pN3dt3RSof6Ad9aS+KUT4dEb/o21DSEI7uqsN+ mVcViq/0lz7T73rbQOU/OSAP5IJ8kBPyQm7IDzkiT+SKfJ0JCVS8kTvypzgU Hskl+by0QMr/7b9B317r/iP85q95GDy9BIP99+FY7/04ceJZ/LFuNf7X5ya8 H3E7fhc+Gb8Pug9vx83Fm4FaqLRZh20zLWB4gzHMbrGAzfU2sL3eHNbX2sDi JksY32mMDTNfgvmMZ2F451YYyTHtJ1NgaBYrY2CufSjzEkM3GR+7y9ZLtjtk vOwlxR3rZFy81sBNtizbNefJ+2U6zrD29cT+3QEY7kjF4ZM+CEp8DtbPPoTt D14rZRJcZWsv+7bWz8J4xzwYb78RBu7XQdtL5hruU7Fm5wN4zs4OT203xhZ/ rkU/Fbo+t8DI/SYYut0Bg+13jK+TMhl67ndfYX3IaZrva7mMzzNkDqLnew90 ozRr2vPaia7r1PFrKHep4/xczVncx6/PSH22w/a2Tlg/UtPfZM08RuJgPIyL 8TFOxsu4n7OzVXkwH+bF/Jgn82XezN91XA/qQn2oE/Wibq2iH3WkntSV+lJn 6q3R3VX5QD+UL8ofd40P4hv9o4/0k77SX/pMv+k7/ScH5IFckA9yQl7IDfkh R+SJXJEvckbeyB35I4fkkVySzwm/6H9Wa9pf6TXxO8vv/OljhO4bg1OJB8zq noZxmfhdNA/WhaawqH4c20oWwrJQCzaxm2BfJfP+/PWwqVgm49a5Mv7lmo73 y7j4frXOINdONyszgDHXTi/Vh0XFT1vr3qRsjtSbBqt6A3i36CGpZyZi1XyF a8XPRvTRJ5DTbYv0Lnv1Pq5rzoT5zKMyh5G5RedDyB40QUqHPiK7piFh+HGk tJghPT0KqcVuSD66CAkDszXzjKNzkLxXD/kZvkgamY/wtqewuLpFbbnP4/yc 5/F81mP9NGknQ9pju2yf/bA/9sv+4yfEpIl9DqKOPonMLlvkSomW98xHfSaF eTJf5s38qcNPWtNefKAf9IX+0Cf6Rd/oH32kn/SV/tJn+k3f6T85IA/kgnyQ E/JCbsjPxO8G/1e/xucp5z47i9/ZH8XJmdUYmpSD0Ws185PhyYUYeFDGCvdn 4dgdHOOW4/j1BehaXolm3Qbs21COPSZ56DDKR8/92eidmoWidfLvwTN+qHs6 FnUvhWDfownoeTRMxrSB2POYlFXu2PdEGIbnhKL98TD03r5Lras+eIPm+svx 8fXuOZ4euqUUR+bG48j8cOxaHYC9Kx3QszAMzU9Fo2VGDvqk7qm7MnHi7hyM 3Fkg4+4S9N1ccfHaw/Ebed9GFU5dU4PR20vQ9WAMDpplodY5G41bKnBwVSOa 9YrRoi9zh9VNKDMuRVm4LXY3PISa3DWoNClGnXEJaoL9sG91M6o8g7GrdhEa V+9DXpg/2k/eqbbc53F+zvNqgn1VPdZnO2yP7ZYbl6Fl9W7VH/tl/4yD8TAu xsc4GS/jZvwXryFJXsyPeTJf5s38qQP1oC7UhzpRL+pG/S7pWaz0pc7Um7pT f/pAP+gL/aFP9Iu+0T/6SD/pK/2lz/SbvtN/ckAeyAX5ICfkhdyQH3JEnsgV +SJn5G0ifz+nl/qu2IR/zs6c/wrvvvE7DFYPYn/UIE5kNclYMhT/iI3Dp7FR +CxO5ggRYUCijC9zInHAOQQJtv5oTaxCbkw16vJT8c+MJHyeG4fzqf4IdsxC w84BZLrsh7/OHlhvaYOnZT5SwuPRlJGDntJ0jGaXYjC1Fn1xjehNKcThXcky j8lDa3EmXivJwZeJAePXVaLGr6tEyZhbxtkpMeirb0ZHSj36Ey+saX+V8xTZ 9sl8oCdFxvQyP2gvjkRHdraM8WvQHFOPFL8AvBNshuS1OsjU0sVvwqzUfOPz dCf8rWwF/pFniM/StyNaex5ej9HGJw3r8b8J9ghaoa223Odxfs7zeD7rsT7b YXtsl+2zH/bHftk/41DxSFyMj3H2jcd9td8Noz7UiXpRN6VfQtRFTakvdabe 1J360wf6QV/oD32iX03pOUgJi1c+Wm9uU77SX/pMv+k7/ScH5IFckA9yQl7I DfkhR4on4Yp8kTPyRu7IHzkkjxdZ/Q+vUcxxn2ZtL83r83Of4t2/VuDXb1tj ZGwGXm1+DH8IuB/vBU3D+0FT8H7wPXg/8G78OeRW/CXuTrwR+CBSjadCb+bj MJv2JPSmbYbFrcYwv9UU237pDptpT8Dt0UlwnnM9zB+eCst7n8SWJ92wwTAF 67YFYJ2OC9bpuci4WLaGUgw8ZPzMOYunjI0185Z1/ExtXaFl5IpVW1yw2cEb ye0b4VNwNza53AEz39kwM34cDk9Ph4XxkzDxnQ89L479ZZ7gLvMOt3vHr1Hc gvXuL2jWGJG21hi5YLGlI1a7rsYqh5exxn8Gtm6fAh3v22HoeaPUuQ363pq5 iLpO4jX58u9xqesud6m1VnieutayfXy+sl0z1+Fxfg/MwPXye1ZUO9Ie22X7 PI/9sV/2zzgYD+NifIyT8TJuxs889CUflZfkxzyZL/Nm/tSBelAX6kOdqBd1 2+zgo3Sknhe0vaAzdaf+9IF+0Bflj/ik/BLf6B99pJ/0lf7SZ/pN3+k/OSAP igvhg5yQF3JDfsiR4km4Il/kjLyRO/JHDsnjRVa5ptfPfJ4y8aWuskxYyLL/ rd8jtbUOO1o3Y+f+zbCp01JjWsOyh6BfNBOOdZ4wLnoUtpW8d2EdnCrsYCFb myotmBQ/jG2Vc6Ffcq+Mj++T8ghsG3VgV2Ij42RzmFUuk3EyvyM2XcrMq5q3 mJTPhH7+POzY64K0wacQ3fEw4tQ1iiUyL/BCRK8+0r91jeLS98XiZZvYvhAZ XXoo7N2KXem+yMvZiZxOLcQNcX35uePfD5uHtKHnkJoWjtyOLYjpeRCRHc9h kcxXuOU+j/NznsfzVT3Wl3bYHttl++wnU/pjvxfi+Pb32C59Pyxq/NoQ82J+ zJP5Mm/mf3XXo2Yqnak3daf+9IF+0Bf6Q5/oF32jfxbjftJX+kuf6Td9p//k gDyQC/JBTsjLxW9P/fz+PHz1rwt/mvv6PN7Wa8PgpCyM3liE43dwLUKZm9wu 49ybSjB6s4yd7s3CUY4/785H790ytl5RhkOba7F/fRX2r6tCpT2vH2Rg34se aHkuCEWbXND1WAg67irGwK0yh7i+FgNS+m6twNBduzByRz7aH45D5/wgHH3O FV0vOqNvvr9aX6Sf91HcWImBGypx5KkgHH4sEv13FeDIop04MqUAJ39RjVPX lePkDaVqTjN6M8f0mvdjHJPformGcGz8u06j6r4X2b9FcvplCdqebkG1QwEq XGNR5pCOatMC5HokoyjGFXuaZqClei4KPCKwe2Ur6rQrUOwXInnWoGH9blRW LkWpfTKaN1ajyicAB47MVVvu83hl1VI5T8YXWjWqHuuzHbbHdtk++2F/1aa7 VP+Mg/EwLsbHOBkv476QA/NhXsxP5Sz5Mm++pw5KD9GF+rSLTv0yp6Fu1G/g hiqlJ3WlvtSZeh99zkXpTx/oB32hP8on+iW+0T/6SD/pK/2lz8pv8Z3+kwPy QC7IBzkhL+SG/JAjxZNwRb7I2dt67Yq7iRz+7F7nL/+O5Dl8oe4R+M2xPnyU F41/xoep+x8+iYvGJ4kx+IjfJYqJAlKj8ccgmf9ttYfpmmiUhnZjuOAYhmoO 4J38WnjsbEFl+BBO5oyiM6sfLYnVyAkpgr9FCawsUuBkE4t49xzsDa7GQFoN jmeVYygnDb1JTWjNicHY7hx8mhGNT2MuzVXU+5QoDO+pREea/K5KuNrrKpWa uUpCHXqSq9EpY2rOCzr5vafEGhyV469mVaA5sg5rNu5E4sq1OOZpga9znPF1 mjs+zDLDB6Xr8I9cfSDTD81uS1Bk/YLMP1zwWY42/hrniqCVm9SW+zxeaP28 Oo/nsx7rsx22x3bZPvthf81Rmv4ZB+NhXCo+iZPxMu4LOVzVdRbRiXpRN+qn dLwwZ+F70Zl6U3fqTx+OZ5UpX/YGV4lPueJXnPLN36JU+Ug/6Sv9pc/0m77T f3JAHsgF+SAn5IXcKH6EI/JErsgXOSNvmntTvriE5rnzl13f+M+/zl82b2Fk f/m8F7/+XTx+Hz0Df5Lx5Z+CJsu4cir+GDxFimwDpuB/Qybj7xH3YmD7HQhe 8QtYzvglHOddB+OHZ8J6yovQe2oWnB6+EU5zroHHvEnwfFjmLjMmwXqhjNE3 b8NqN3e8bOGOlfybvrbMUfTdoKXvqv6Ov573aly83uKmxtP8fL2RF15wewax tZMRlDcVG1zvgLHvA9jm+AysrJbBNOBB6LrcrNae13efJmP5yeoeEF3vqVjq YIxVRpp7QNQYXPUnbep6Sww+WGPijGUmrljmsgHr7GUOE7oAurEyH+PzvVw0 zwS7OOfgltddAqdAN3Tqpest8plmvnLpego/53n6LnddXt9Ns34k22c/7I/9 sn/GwXgYF+NjnIyXcTN+5rFM8mFezI95Ml/mzfypA/WgLtSHOlEv6vaC27Oi o0ZvzTzF7eL1FKW74bgP+hpf6A99ol/0jf7RR/pJX+kvfabf9J3+kwPyQC7I BzkhL+RG8RM8RfFErsjX76MfUryRu8vvTbn6tbJ/Tq/zE56X8eEnf8T+V99C RkMusnpWyRh9BrwOzINP6wI4FK+FVflT0C+bCiMZQxsWzYF1+XKYF6yHXbkt LPK3yFhX5n9FC2FQMgc2TfcgUMbyVnUrYVLlBMtKB5iXrZax9Fx1D4Wxuhfm h78rxu8pmVU+Cu/dDog/sgBpvbMRpr7/5Ym83mXj3/+a/+05gcwlYmT8FDsw C6l9KxBVnIGE5BBk7NdH4vACRHfPRFyHpp5aU35wNgqqbZBZ4on4oXmIl/lE RMczar7CLffjhx6Wz73UeTw/frw+22F7bJfts5/I4nTVL/tnHJfubZk4Z5mv 4s+XPOI7PdX32phf/JGF8JJ8mbfmXqAf/s4X9dToOlfpTL2pO/WnD/SDvtAf +kS/6Bv9o4/0k77SX/pMv+k7/ScH5IFckA9ywhe5+a/+7teF13gK5z4/q+Yq /Nv38btknnLrle9zOH4T148vwsC0FIzOTcSBLQfQolWJ1g1V2LuhBhVx7mi0 2IWBm8px4pe8tlGGA0t90bsgAv3TMjE8PQkDUzMxdmuBZm5xg5x3XQWGZSw9 fHsROqdlYeDRAHQ+tx19L9qj++EQtC7zxL5nwnB6Ugs6Zqagc2YyTsnYfPT2 XeP3lE+I8dbib8U++o37M0Zv4fOxZLw8/zD26zTKfCEXOX4xiCw3RX7bo2ht nYWKZFNUmEjsLzdj36YKFPhEola7XK3zWBRji/J0A7QubkOVQzLK3eIw0DJT bStln8fLMwxQFGurzme9Au9I1Q7bY7tsn/0USH/hFaaqf8bBeBjXqWs0cU68 v2f0m358I1fqoPTgtSbRhzodEb2oG/WjjtSTulJfpbPoPSzzCOpPH+gHfaE/ 9Il+9cuW/tFH+klf6S99pt/0nf6TA/JALsgHOSEvV7xnRmIlZ+SNcxbyN5HH n+vrsnu75H1b7RjeqKjHB0Xp+DIpDF9Eh6m/ifM7Rf+I5TNnY/BObATMDetg v7YZMVb7cTTyKI6njiHAow97o4LwXkcohri22Z4qdOefxPHMYRxKOI3C4HoE +XrD3joIrvrpCHbOR7W01RvfiNGiBHRW1+HTzCQZT0fgYxlbfxIdhS9SwnF6 Xy4602vRHy9j9uSrvKYyfs9MZ07W+DwgDd1JvG+lDmPp4ntqBXbal2PlxlI4 y7g81mc7vs6wxZcprvigQAcflBnio5Sd+GeaM/6caI0AvQfx1wQ7/KPAEp8V a+Hvsc4IXLlZbbnP439NsFfn8XzWY322w/bYLttnP+xv5cYy1T/jYDyMi/Ex Ts28KuvivSRXNWcRnagXdaN+1JF6fqzmgBFKZ+o9WpSo9KcPwc55cNVLF3+C xScf7ApuwMGEU8o/+kg/6Sv9pc/0m77Tf3JAHsgF+SAn/xjnhvyQI/JErsgX OTszgb3//+5N+Xe9Lr/H5WsZZg3EROJXfkvwTuRMvBd2O/4cdJeMM6eMz1vu xR+C7sUHYVPxP6H3oc7kLmx/9Fo4368ZxzrKe+NbLbD1fi1YPvAMjGY+Aof5 18Nl5iS4zZkE+xcmw0TmxVpe2ljlro+l2xzwspEb1up4Yp2uM9ZvdZVxs8wt 9GXOwvvM9T3xksdjiKy+HW+8+iRef3UJSosXw2rNI3B84Dq4z70ZFk5PQN/j Duip+9WnwNjjLqz1fgQrbK2lTV8ZkztPuKYwXgyd1fH1epox+kYTmb9YROFl rw0w8rhJ5hl3X/keE953H3MfDNwvv+/l4nzlwrWU8fP03a9wf4ya99yt+mF/ 7Jf9q7kZ42G8ht+OWR2XfJgX82OezFflLflTB+pBXagPdaJe1I36UUfqSV2p r9JZ9Kbu1J8+0A/6Qn/oE/2ib/SPPtJP+kp/6TP9pu/0nxyQB3JBPsgJedHM U6ZoOBKeyBX5ImdfX7h88jO8N+Wnvs6e0zzz4q8fv46mEx0ob2+VMbYX8vsX IqZ7GjL6TJFy1Bh+h2bAo+UR2DfOhkn1gzAu5zWYeTAveRaWJRthX2II71oT +LXowLnxRZjWPgSH3dPh374I4W3b4LnbCabV+jApWwgTqWtU8uD3fleM34XS L5oG18YtyDjpiOwOE2R0O6jvUMV1Xv79rwvfAYs58ghij85E6sjzyK+1xq7E UCSVWSOh1wUpffMR0zFXzptw7aNb5hPdLyE/IQTJvS/JPGIuErovn69wn8f5 Oc/j+are+DyJ7bFdts9+EsvYbwgKpH/GwXgYV3zXN+ctC1Qe/H5YRpeDJr+T Dipf5v3d3wXTfOeL+lFH6kldqS91pt7UnfrTB/pBX+gPfaJfhmVzlX/0kX7S V/pLn+k3faf/5IA8kAvyMZGX/xde58+cw7lPzuC9iOMYmCTziLvLfvDe7LGb SzEgY+ITs5PQZV6G3Yb52LOmEZXuUaj0iESzYT2G5+7BsZvycfyWUjXG7Vns j745iRiR8Wv/tAz0TU/FUSkcCw/dla+5dnCjjIWlDF9fLWPoEnRNzkffI6Ho eNoLA8+448CLfmiRdvpvk/5vrsTY9eU4db2M6W/WXPvhOPuYKiVqq7n2UIoT ss/rDnyeFu8fP35HHlrmpGG/RSYKPJNR4JCFvBRLJO1+AVkHnkZxqivqVu5X zyHeo1WDcr8w1Nlk4ODqejQYlCBv/wI06Jdg3/pa7PKIRYtRDrr2PaC2BbLP 4/XyeT7PMyhW9Vif7bA9tsv22Q/7Y7/sn3EwHsbF+Bgn42XcjP/ETd+fJ3VQ eqj7fCoxIDrtfclf6Ub9qCP1pK7UlzpTb+pO/ekD/aAv9Ic+0a++2YnoWeSv fKSf9JX+0mf6Td/pPznoFh7IBfkgJz/IkvBG7t6LGFMcksf/hhfHi1/jK5xs 7Mbh0CF05g1jrGQf3i/OxufpkfgyJhQfx8h8JTES2dtjsSuoBwNxPfA12gPr DS1o2nkYDRk1iA+V8X6iB76Ii8BnGbHqGbV/rs3AK/m78VZVC/ob96O3PA2V BXEIDQvAdisfOG8uwQ7nQKRnRMo5OUBSJM4mx+JMWjje3JuOzrRq9MVdzVyF 96jUaOYpmfky7o/CkYIkdKdUoCe+HiOp1RjLrESGTxlWaZXC0qQUrTHleD2n BjkBtfD3dMHfyxbh40JDfBiXiE8S/YBcNxRYvoC921cCmT74S8kG/L1cF3+P cUEA5yuy5T6P83Oex/NZj/XZDttjuzulffbD/lqjy1X/jIPxMC7GxzgZL+Nm /MxDzVt4TejHzltEL+rWmValdKSe1JX6UmfqTd2dNxfDXXwICd2Jqvx48Ud+ Xhr3Kb/oG/2jj/STvtJf+ky/6Tv9JwfkgVzkCB/khLyQG/JDjsgTuSJf5Iy8 /fznKd9+8e/a52S8+MeyZrxh5o5XXD1x2n8L3gqfhz+G34U/Bd+B92UM+l6w ZizK7/b8PXIqTvlORcKa2+Ew4zo4zPwFjB98Gfa/tIbF9TYwlTGt5S0m0L1X D+YPPQezqQtg/fCtsH92GsyNZsiY/Qlo+yzBCvctWOXkiTUWO7DKdCc2mvph k1U0lnqtRkzFI3jr2Ba807QU72Y8jQ/D7kOP483wfvoXcJg8CU7aT8GA6z26 3Ao9nzuwxn0xVhjJPEWP12muMFdh0ef3nWRr4o71Nl7QspS+Tdywzns2DN1u kznA3d+aY/CZX7ph07A18F6Zb9z53fMVNR+5U52nGzpNc+435j5sn/2wP/bL /hkH41Fx6btcOW41x3JX+TFP5su8mT91oB7UhfpQJ+pF3agfdaSe1JX6Umel t+hO/ekD/aAv9Ic+0S/6Rv/oI/2kr/SXPtNv+k7/yQF5IBd/GOeEvJAb8kOO yBO5Il/k7Nw3rvP9v/Q6N76O6+ifRvGnj1/DP+VXQu/YEKIOFSHr6Eak9j6F tP0bkNr/OBK7ZZzd8yhiOucjpP0ReB+YC4vambBtno7InseQ0vMUcvv0YZG7 GbaldtiWuw521UvgulfmF0efRWi3HmybXGFRJD5VPg+zihmae1xKvzlv0Vx/ MSidiuRufYS2+CNK2k274ve/xq9zdM1C8sgCZO4zQEZaGNKLfSTWpUgYmilz jjWIbXOUtp6QuYamfmwHnz82D+mFXmpuEzc4W9pZIOfO+8Z8ZZ46zs95Hs9n vdgL11ikPbbL9tkP+2O/7J9xMB7GxfguXNf59vfDOG/RQ+heP2nr/+Puu+Or LLL33XUVQUUQRAVUBETE3l0bKBB6S09IDySkd0J677333nsvpPdCaC427GXX 1bUgKhZUnt88c++FAEHwn9/ni++H93Nz3ztz5pznOSTn3JkzoynsnoeL91lb rMApZ4HEjfgRR+JJXIkvcSbexJ34kwfyQV7ID3kyFHkMeSN/5JF8klfyK3kW fJN38t8r/ID+QL+gfygqtK6+vxlTXsrQ8PRHP+DQXNZkZ11yXuXcnSXXH43O i0Hj4kJUbyxFnXomcuyDkGYXIms/6nQT0bShScS/hSK2zRB9cjEm7t7n3NB/ bxQOX1uEMY5zcwYGbk/E8J0x6LsrGqO3x2Ho1lT5/IAyd2EN+PANxRi8JxyV ti+g8QUb9D9riZ77PTFwXyCqV0Sge3Y6Ds9KlLUcB2anYpz5j3g9dGsSDs1M RvvcDFQ/HoyRRYGoecYHjQ+7oXdlGnJ3ViHXaR/ys9YgL0YXCX4esE51R5lO Bup3xqN5dSXyTeKRbRaH5jVlqF/ZiPxYLWQFmaP5pUaU6qci3zoMVZsL0dkw X77yPZ+3iM+zRTu2Zz/2pxzKaxJyKZ/jcDyOy/GpB/WhXj1CP+pJfUcWBUj9 aQftoV3n25ks7ScOxIO4EB/i1Pi8jcSN+BFH4ilx5c16fIE3cSf+5IF88Dn5 IU/ki7yRvwMyV8mQvJJf8ky+yTv5px9UbyyTfkH/oJ9In/ojf7pJ4VOH5hZI P5zsl/+Xr9+Ve5u9dehjtPt2YSCwFx2Bw+iIGcZ4Xjs+LMjFD4khOBHsDmfT LOwPGBCxcC/GI8eR610BfYMwWBmUwkF89mOUP06GBuO74ABZs3Aq0A+/BHuK eDcA/4v3wMlCB7xVGY/3mp3QP+6A2oREBCd5wNgqUsiOR42GHUZt3XAsPwr9 qTwfsQQjcYp6FZ45cul9fyfV0rN2PCsYHZkh4mfxfzW0HEORxTiSWIgyn3xs V8/Dxu15yPMowFHxbJg1JGFlGMuIR0yML9ydduP7iF34ITwEP8Xtwxv+GvDf /jBOxe8R9lnhu/RN+DbFDF+F7Bb5ylb5yvd8zs/Zju3Zj/0ph/Iol/I5Dsfj uByfelAf6kX9qCf1pd7Un3bQHtp1uZr8PuU5LfyZuB2MLZE4HsuPlrgSX+Js bBUhcPdEbWIiBgQP7zaTlzjJD3kiX+SN/JFH8kleyS95Jt/knfwfEH5Af6Bf 0D/oJ/QX+g39h35Ef6Jf0b/oZ7JK5CrMV1RzLF9+8B+8bu6Ad0zt8LaJG/5l IfIWFy286fsYPvKbi8+8mbfMxaeet+NjEY9+4XMbPve/A81m8+D21N+gddtj MJhmCtMbtWBygy6Mb9CH6bSdMLlO5C83msFwpg60xWfatz8J44UvQuvJBdi5 /VHY6T0KQ60l0FvzIjTX7IbxJi0E+CzHJ1GL8YXfUnzqIuJfd8bCc/GViIv/ tW8uwv95LdY+uxTbHedhh/NteHGXNtZouynWUmldIuZn/Yy2LdYZO4lb5Ag6 tli/3QYvGJtiO/citpli32EbcTvPkfXymtYXz71cOL+iqHO5VbbXcJqj6H/h PslinO32c/GCkZkcn3pQH6mXtq2ifmQq/YVdtI920l7aTfuJA/E4tk+BD3Ei XsSN+BFH4klciS9xJt7EnfiTB/JBXsgPeSJf5I38kUfySV7JL3km3+Sd/NMP 6A/0C/oH/YT+Qr+h/9CP6E/0K/oX/Wyy3/31rjP45dcfMPRxA3757Rco5o5+ xRcnvkPO4GEkt4iYYsxLxu2BnYp5gggR4/qJn/fULIVewWK5T65+0b0wr1oM m7qFMK+9T579YVK0DnqJajDOMode8ho416vBvfUx7KneBP0MHejkG2Fn/kvy jA/WSmjncs+qJXItlGHeAuwo2wrfFitkDbohfIDzGJNzlQfkeSWc+wgeXoLE 7vVIT3JFWpy4OzfLnELW4cv9jO9FRJ+ayCl2K3KW7vsR2HMvMjo2IynGG9Gc B+lUzJlMma/I/GapbMf27Mf+lKPIVXZL+aEyJ1khx+X41IP6UC/qRz2pb+h5 69gekHbRvqwhN/g0W2FH6VZh/0LlXmxLJC7EhzgRL+JG/Igj8SSuxFfiLPCW uAv8yYPkQ/BCfsgT+SJv5I88kk/ySjvJM/km7+RfUU9/RvqF9I9ff8BfZm5R eQjGl/nviBhVxI0zLperKNqMsSZ+XgT2P9yE+u3lqHu1Arl2gSi2iECNVgaK jRLQvKUYo6uaMCG/Y88U/UTOMr0AnU96oPueWByalifXNx2cLp6zzU2ZGJyb gpF5cei9W5G7DMwT+cfMdIxMK0D3g4FoeigEtY/7oPkJD+x/yhn5L+9F3VO+ OHh7CPoWBaPqOW/kv+KO3NXuyF+1D7VP+2FwfgjGFvmj9slAtC1IxpFpSRia 14fanSXIzFiFnOLnkW4RhTwbofuuCKRbx6JmnbBpe47MPQpcfVG7sRhtq8uR ZRmBgoKXUL6hUuQyZci1CkeZHvcUK0JD093yle/5nJ+Xb6yU7bMFLuxPOZSX bx0u5XMcOZ4Yl+NTD+pDvagf9aS+1Jv60w7aQ7ton7RT2Eu7af/B20MlHvkv 7ZX4ECfiRdyIH3EknsSV+BJn4k3ciT95IB/khfyQJ/JF3g4oeSSf5JX8kmfJ t7CP/NMP6A/0C/oH/eRKfYr+Rz+c4mCW/5OXahfmEye/QndYH3qD+tAX3Is+ EV92BQyiLXIMh3J7kRGUhX37ujASOoFO/z60J+WgN60M/RG9iDBsx6trCtFj 6wXEBuHHyCAR3yr2Iv4uPBjfB4s70gOnoszxW6gZvs0wwjf5W/BtkSX+PayF t+qt8K/DthhLckSabzi0RDxstz4N4RbpqPLIF/F7EQ4nFmMsrgiDUaqzElW1 Hcoalej8s7X03fGZ6A2rEPF9iehXiI6wAuw2yMWqdbkIt8vHRJzwg9giOZfR HSNyghw/tKVEi/i+FKkeJfCys8VX4W44k+YEf82HMeS+Hb+mWOFEeAC+STLH j4nG+CrUAh6rtspXvudzfs52bM9+7E85nkIe5fKMeo7D8Tgux6ce1Id6UT/q SX2pN/WnHbTnXE1+/nm1LX2RCjyIC/EhTsSLuBE/uw1pEk/iOpbkgGMC57fr 9+DfI5o4KfD/Jn8rvs00kryQH/JEviRv4QoeySd5Jb/kmXyT916RC9EP6A/0 C/oH/YT+Qr+h/9CP6E/0K/oX/Wyy311VlzJuPPXFt3jHfh/eMhVY7rLDcTN7 EWe64PVdrjjqYIpjXs/hAxGf/sdnJj7zvFXEp/PEfRu+8r8d7++bgzARA+vO NIDBP0RsO0MPxuI2ms5XHZhMFzfj3uk7RQxsgp3XG8PgRm3RVsTdtz0L81se xs5lc7F11vOwe0QTR5024a29z+JDnzvwqd88ERPfiv+yFsLzDvzXd76Ix29G xN5H8YLrU3jZ2BDr1N0Ua8m0bKbIU6wVdRsGDlhnInICPXuoafCZJdR2cJ5h DdSdZog8Ys5Fa8C4fmtb4B3Y4TJXcSa97WXyFd6i3Q7XubKfYn3ZrRfkK3Og 7jhDjsvxpR6sIRF6Sf2EnrKOR32qnMVG2kl7aTftJw7Eg7hIfAROxIu4ET/i SDyJK/ElzsSbuBN/8kA+yAv5UfCkI3lT8Kcn+SSv5Jc8k2/y/qnMU+ZJf6Bf 0D/oJ/QX+g39R/qR8Cf61bvCv+hnk/3ur3T9fkZRh3DoPwMY+bBFvOcZZb+f V48/+t4nSCsqQEyrHhKGlog4fQls6u8XMfNiWZetI9cmKW7NLPFatAQBXSIf 6FoG59Z74NC4BGaVy2Be/BJ00zfAIEv8n8rdgL1NW7GrZBN0iiywM0tPxOev ilj8fuwsWAit4gdgnqUPxxoTRI8/jYhWLUR2PoOwnmUivn5AsZ9Wx31yn67Y gX8iKc8aiTG+iKrVRejoQ0LHRSK/mFzvzhxikSKn2G+BqM6HETb2AFJi3ZDQ qIWQPtV+yZfOV+SYoh3bsx/7Uw7lKXKVRefvuSzGpx7Uh3pRP+pJfRX7kt0n 29Me2hXZ+ay0k/Y6CbvNBE5aRSskHjsL7lfgI3AiXsSN+BFH4klciS9xJt7E nfiTB/IheVFyRL4kb4I/8kg+E0QeRX7JM/meXE9Pf6Bf0D8OfTagqHs6cxV8 CXyZS7X25mOnEUXdyqzLr9/h+qPh25MwMisGY4+2oHlbJWq35CDSzw91mwpR o56FBqMI1G3LQP3mSrS/0KKsgRex7k2i7/R8ND/ii647UnDwhlzlmSrZihp4 rnearlibNDw7DSN3xMk1Se2PeaHuCR9M/KMIIzOz0H5fOOofC0CLiMH3P+iP ngUJ6L++DMMz8jEoPh+ama3cHyxfjFcov+f/1z/ycPCaUvQ/WIbiFHNkV76I Ipdg5Kk1IN0qCiV7UtG6vgA1ujGoE3lE4wbWPu9DkVEiWtRKULOmDpllz6HA yQstK2tRsz0XmU4BaFoj8hjDNFR33Clfm9aWy+f8nO3YPkP0qxb9KYfykoTc BiGf43A8jsvxqUeeWqPUi/pRT+pLvak/7aA9tIv2STuFvbSb9hOH/Q8KXB4K lPgQJ+JF3IgfcSSexHVYuQZPrvGarqjtn1DW+ZAX8kOeyBd5I3/kkXySV/JL nsk3eY/085V+QH+gX9A/6CcHLlW/MrkmapaijuVjp9Hz/PJquLiVeUf2AfT6 96A3pB+9wSJvCelFf1A3uvxHYW+Zh3cTonG0ohwtZUVoiWtGt/c4egN68Frc AKId98NllT3KtBzF338/nIkNwXci1uWt2pv4+/g9+CF2D76LNcX3qRvwQ6gL Tqatxs8J2jhRpoejg9H44IgFjpS6obXSCc6BybA1iISZUTw8WGPkko+u0AoR 95eLGL8UQ1GV8iz2jqRktGWHiNc0dEeI3CUyHwcTcjAi8gDfPXl4cX0uHMzy 0RdRiEM88zBMUePemRojbPZHd1y2Yv8wfh5bjCTPfAS7eqDdbgMy9J8EMuxx MsJX5CYx+DxbC78k7sSXoZYiX9kiX/n+C/H8a/E527F9hv5TaLfdIOVQHuVS PsfheByX41MP6iP1Ep9TT+pLvYeF/rSjl+fYR5Riv7BPYWeytHtQ2D8hcizi QVwKXAokTsTL1jASTkFJAkdHgaerwHW3wDcGJ0r1Bd46EnfiTx6+izWTvJAf 1R7IKu7II/kkr+SXPJNv8k7+6Qf0h6MVFdI/6CddfqPSb+g/9CPpT8Kv6F+/ Xj3/Jaa+flesSvgwpxJv6e3C27sd8ba5Is48bi5uUye8aeaG12wt8K99a/CO H2tcbsFnXrPxicdtIka+DZ8HLUC1vg1cFu2C9nUizp2mCxPmLdMvuGfwuSJ/ MZ6hj13XmUJ99i7suEvERCtvwmshK/C20zZMeG3BqL0tjnhsw2GPNXjX9358 6r0Q//URMbLbHBxvsUJETqg8n+TV7ZbYoOMg9+M9u8+YhuJepy/yAKH/up3K PEBDVRdijdXadnjV4WFo29wEdVtVvqLYa1jL6haoi3F43ormFGu7LpmvKPcE 2xZwJ9RdhRzrW6Q81ZkvHIfjcdzVnO85u1ZNmVftdFDoq29/1gbVvl60j3bS XtpN+4nDp263KnAR+BAn4kXciB9xJJ7ElfgSZ+JN3Im/zE9m6EheLuRK8id4 JJ/klfySZ/JN3sk//YD+QL+gf9BP6C/0G/qP9CPhT/Qr+tcZpb/9la8jX4zj x19PnfdMrv1R1iq8/ekQ0suTEdKejt1lT0Mn73ZoZS86r8aCZxpqZ98L88ol CO1ZLvfniuxZgYge1pYzf1kCj45FcGpaAeuKJxHYsR1RbeoIatsJlxpT2BTY QC9/NzRTVmFLmjE0yzcitOseBHcsRNQQa0FMEdx5D0JYTy/yBp6DEltjjtRI X6QWmCN+6BmEDzAPWDZFrYgqZ7kX4b1rEdarj8g6UyQl2yNilGu7WKNyv6xF map+hc/5OduxPfuxf1iPvpCnnFeZYswwmVctk3pRP+pJfak39acd0h5hV8yY ibST9tJuzfJNAgcjiYeuwIX4ECfiRdyIH3F0al4hcSW+xJl4E3fiTx7IB3nR vaA2iPyRR/JJXskveeZF3i/8Lov+ceSLA/9/HPL/w6WKCz+LPHLF+cr4DJEH LIzF2A2pmHi8CU3bqtG6NR1ZthGoXF8uY/IKjWzUGcSgWjtFxO0irnixFQdm 5mN8WgYOTc9G/y05qBcxdd+sbFlzoVqDJuvmOc9zkyJ2nvhHPrpvS0bHM67o vz0RQ/OjMbAgFiNzUtCzMA6tj/ij4XERJz/lhbZHvYXcTByclodDMxQ50ARj 75npOHpNIXqmlaLKzBc1+19BTvgu9D3RgPoHO5H9zxCUrxAx2vI2lO2oQotZ BOpFnsH1TeUit6jdkYNqrSyU2nshM+dVVK+uQ+vaEhSaxSLfIhKtL9cg0zoC 1f2z5Gvryhr5nJ+zHduzH/tTDuVRLuVzHI7HcTk+9ch6PlTqRf2oJ/Wl3tSf dtCeCWWORztpL+2m/bXct0vgQVyID3EiXsSN+BFH4klcZY4ocCbeZ/cruEnB B3khP+SJfJE38kceySd5Jb/kmXyTd/JPP6A/0C/oH/QT+suV5iufRR49zy// r19yD1n8ijc7DqPDS+QpoX0yzuwJ6sNoWB8yPHuQYB2PMyKePZGtg6/So/F2 bhn60rvRHjmGvoB+VPj0I9g+BUftXRG3wQ4du9zwc1QQTkcF42RIAL4LC8LJ WCf8GLNLnp/4ZR7rQFbjyywtnA41xzvFyXirqAY/+TvgdPxOfFeug59Ld+BE qxHaq62RUmCAPX4+MDX1gotVIBL2haMj3A/DOX4YL7BGX0Y4WjOjsL/ED90V QUiMtsFqIwtoaeejPqBArrMa4DorzlfI2hbmC3HnatqjFOuoemTOUoRkn3o8 u00PGW6GmAjci28infBrvCW+r1yJM0lmInexxL5XtslXvudzfs52bM9+z27V k3Ior0e5TqtfdX5mZJkcX84HCX2o14By3Rr1pd6rjXYjKdIePeWhaC8V/x8y I9GfHoEx8feDdneE+UkcXKwCJC57RK5NnIjXiTZDgZ86vivTlXj+6O8o8X2n JFniTdwl/oIH8kFeyI/kSfBF3sgfeSSf5JX8kmfyLXnP6JZ+8FVGNL7N1gWE fyRYJ0h/od/Qf2TeK/yJfkX/op9dzV+RnVHmK58U1eINEVceV+UrqluZt7xj 6og3TUXeYumAI25bcdxvOT5hjYvnLHzkMwvHvbbhLTN3ZL5iBZPZRtC/VjHX MnXeogPT6w2hefs2aN8zC8HPXYP3PW/FF178rv5GfOw/C594LsDxgPtwaO8G vOa5DgMB2/Av76cxEKWF3hbxd6g+GEUFvlC3sMUrW22wgfsjK9d+qenYYb1c Z+WomHe5YJ0V69xf1t+DrY63QdN2lqJ2hefM23CP4xux2f4ObAhdCk25X/LU 5zxeKl9he03H2bI/5VAe5VI+x+F4HJfjK/buOn/dmpxHEXqvl+vW7JR7QVtL +2gn7aXdtJ84DEZpClyekvgQJ+JF3IgfcSSexJX4EmfiTdyJP3mYKk8hb+SP PJJP8kp+yTP5/kTWpiyXfkB/oF/QP87LU5Q3/Yl+Rf86o/S3v9p15ozinL+P vvkXuo4X4vRvP170vbnMWc6cwZff/RsVY/E48MmPsE2vEPGvDXYVi5g3707o 5CyRtRWMhzVy7oV9w1JE9irOSgzpVtyK2J1zF7zvR2T/MljX3QWDivthV/EQ PNo2ILBpDexaMqEfFwR38XvVvVH83h5ZKXKLOxHb+yzC67cianAJIkfuR2Lz dsRHeyIpy13kDCvlOqtguc/whfsHnzs/MqT7PtF2KSJ6lyFlxBbpe8yR1uOI uL6XRR7yEKIGHkJQ1yIx3hKRpzyO54rq5Cvf8zk/Zzu2Z78MSzOkDNtKeZRL +VOfWb9c6kX9qCf1pd7Un3bQnqhBoVfdFsT2PCPGmy/tpv3EQT82EA6tmQgS +BAn4kXcbAR+xJF4Etcw5bgqzKkLebBrWCp50VXVBeUoeCN/5JF8klfyS55/ P3PmolyFfkH/6Hq7UPqLYv+Tq/v/hCou/E/woSvLV6aLuP7WVAyJGHji2iz0 P9aE+q3VaBNxaqFFNKrUKtC8oRCNm/JRoZOG6h25qNSPR6NuFtrUmtC/pAZj M/Nk377ZKWh80A+D/P79BuZBWSI2FvH3dRkYF/cYax/mFooY2w8Dc3JxeHqx eMZ8JlPWWIzOi0fPgnh0LgtC7dMiF3jJGfVqlhjgGTE3FOPQTZk4dEMuRv9W ivpVfmgQcUZZ5G50Ls3Hob/Von9aFup4vsjsNBy5PkfkApkofjwFJZYZqDJI EvF3KBpWV6JVrRhF2rnIETltjlUEGjYVom5jMdIcglG9NQ8tq6pQ7uCPtpEZ 8pXv+Zyfsx3bs19O6dNSDuVRLuVzHI7HcTk+9aA+1Iv6UU/qS72pP+2gPbSL 9tFO2ku7q19ykjgQj54FcRIfRS1KpsSN+BFH4klciS9xJt7EnfiTB/JBXsgP eSJf5I38kUfySV4rdNMkz+SbvJN/+gH9gX7BvvQT+ovcF+AK8pX/BB8+zy// r1+q2ud33v4v2v1FjqmcX+kO6sVY+ABcdjdjNNAaPxXo4tuQUJwKCsTPYd74 LjEYH+QL/PP2oyXqAFwscnAqzEvWOlToOyNli/j76+6NM3HB+CE0BN9GueFU nMhXojnHYomvMnXwS7gJPi0JRn3qMRwTv79+ig0QMb83foywwKlwK/wQZoXf eO58rhFO5+zC/7ItUZbqgxA/XZiFm8HWKBkRbpmoCcrDWHweqoLTsG2XJ14x dkZauCsOJRRjJLpIUQ/COvaMUEU9SIxqXdX5Z53IfCW+CtYOSdC3TkOady3c nOPhbuuJGFc7FCe/gHfCzPB1qCF8X9ogX/mez/k527E9+7E/5VDe2Xxl0ngc n3rIehuhl9wXQOhJfal3epibtGObube0i/bRznC3LNgYpcA83BTBAoeyVF+J y+kcc4kT8SJuxI84Ek/iSnyJM/Em7sSfPJAP8kJ+yBP5Im/kjzyST/JKfskz +Sbv5J9+QH+gX9A/RoOspb/Qb+g/inm6fulX9K/J/nY1Xqr48ePXPsC/jEVe ssv+/HzlvNsW78i1Yq44ttsJR1308LrP0/gk4GYcc39exq2fWtlh0MABvg9Z QHeaPgyuU64Rm5SrmFxnDJ3566G79EZ4P3kN3tw3F5/7zBMx9jxlzTbPgZkj buYwN+OzgOl4w+9J9Nk6oLchHC3j1igedMD+Pi/U1YbBZK8rVu5wkueKyDzF RNw6l6gH4T5h252wynIztjneImtOtG1vgobDzdjovBirrFZhs4UPNu7Vxjb7 aRevFVPOw+ywmnd23uTCNV/bHKZho7s2Ngk5lEe5lM9xOB7H5fjUY6p9wWSO wtoWE0XeQrtoH+2kvbSb9reM20g8iAvxIU7Ei7hJ/JR4ElfiS5yJN3En/uRh cs4i134Jvsgb+SOP5JO8kl/yTL7JO/mnH0h/EH5xKZ+hP9Gv6F+T/e2vdKnO +Dv4+QQ+OvGu/HmqPWoZl/Ls8qj9Gfjl52/ww29nkNc2CI2URJjmr4Fu8QLo 5twt6yx08u+FF89T7DmXp0y++SxYzrssh3PrcuzIEjlO9nxszV8E60ID7C4y hl37drjVbEZYZySC6uMROSD+tnRvRdy7sSI32ISkDHckRYu7dRuiRpcJmSIH mGpfY1We0rUY4b1LEd37jJCjj4gJF0TFWGJfkCOiJvQQU6+G5CEHxDRsRly/ DmK7noZf5zP4Z3mryFeeke/5nJ/LdqI9++0LdkKk+L0dLuRRLuVzHI4Xcomz V6gn9aXe1F/aIeyhXbQvUtgZJeyl3bSfOBAP4mJbYCBxIl7EjfgRx+DuS2NN HsgHeSE/5Il8kTfyRx7JJ3klv4oz6i/2dZVf0E/oL5P952q9zs6vRF9+foXf 6R+Qe3vFYXhOKg5fn4WWRRWo3VCO5m1ZiPAORNXGErSsV8TzFTuT0LS+CA3i 50rNNBGbJ6BRswztrzZh5Ik69NxVg+57EtD7nD8O3lKKIzfnoeMOEfc82ozX Hq9C7RONqHLIRodpNrrVqtC2vhFdc4twcLpij1zWf/MskuFZGfKMj+YVwWhf JX6vblIX8bIDBq8rRfeCFOS7aqMoZjOaVgVh6JpyHL42B8MzclD/uDc670iV 5yaOzRS5wbRCtC/3Q7aIxbOdw1G7OR9NGwrQuFrkI057UebqioqtJWhUT5N7 gGW5eaJKI1vu99VuIWQdmS5f+Z7P+TnbsT37sT/lUB7lUj7H4Xgcl+NTD+pD vagf9aS+1Jv60w7aQ7toH+2kvbSb9hMH4kFcJD7cl1jgRdyIH3EknsSV+BJn 4k3ciT95IB/khfyQJ/JF3sgfeSSf5JX81m0olnxXCt4jvAOkH9Af6Bf0D/oJ /YV+I/3ncvMr0VfX/Ipqzeipb/+D7ogBWWvAOHMwtAf1viNwd/bHdzk7cDIs VHH+PPccDuN+tYr9w35gjlGQjqjAXHSFhAAxfnIvqrfcfJC0xQFVIub9NiwQ p+N5poolfojZjVMxe/BLqDk+LxE+lzOEPq8+9OT340RMmBgjECfjHHEq1lzc FkK+uMOt5f19mgZ+zVsJFGrjywRHvB5igbKYvdhn6Iddu13xgohXfOwS0V8Q gOG0NBH/V6I3ohRdnMvI8UdXYjL6LlG3znp+5gqVIcV4zMAdLRGC/9giHIgu RltINcpCMuAWGgBPlxi4Wbtjm5q1fJXvxXN+znZsz37sTzmUR7kX7xeg2CeA +lAvqZ/Qk/r2hlRgODVD2kF7aNeu3W7SzrIYN2H3bmk/cSAexEWFEfE6JW9z iSPxJK7ElzgTb+JO/MkD+SAv5Ic8kS/yRv7II/kkr+SXPJNv8v69ct5Mnu8i /IL+QT+hv9Bv6D9yPRhrV4Rf0b8m+9tVeSlV/+Wrb/C6rQfeNrt07HluzsUW x83scJw1LuZueM3eGGPeG3HUyh5vGLviA3NHvG/lgPJNtthzpwl0rtWDyQ3i vlHExteZQH++GgyXXQfXx/6Go3vn4H8yV+H+Uudunt/xH4+5+MT/VrzhuxLH DO3xXpD4PdqUiJ7KAHQ370NLoz8a20LQ1hQPF39vqBk6YN3OC9dSXbxH8Cta Dlht/Sx07a/Fdsc5UHN8GKss1LFSl2e/eMLcuh7P79HCFsdZ8hz6C3MVLbuZ 2GK/UL5emLOwPfuxv5l1HdSEPMqlfI7D8Tgux6ceU+69PHlNG+0RdtE+2kl7 aTftJw7Eg7gQH+JEvIgb8ZuMJ/ElzsSbuBN/8kA+yAv5IU/ki7yRP/JIPskr +SXP5Pu4rE2xk35wWV8R/kS/+ln412R/+2tdZ3CadfYfNeDX33/GpYz8Tbkm rHKoEkPvTyifnsZ7n52AR80EjBJtoV/6OPRz74BR2VIRs0+1Fuv8OJprltza lkE7fz6sCp6CZq4NduRtgVHeQuzIvgPenVxTJvKezucRMWyNtM48JNoYISuA 58wbI2LkUQT1LkJw54V5gSJvCeleplz7JcbqWyvygV1I6LJERL/IB3o3ICvB FyklaxHVIvQduB9hvQ8jqkPkJQM6co+s2CEPbI9KQMyQp3i/Xj7n52wXPrhM 9mN/yonqXS/lSvliHMV4y+X4Cj0u3hOMelN/2kF7aFeijTHSOvIQMWQl7ab9 xIF4SFwEPhoCJ2uBF3EjfnKt3R9gzZt8kBfyQ57IF3kjf+SRF3klv5P5nspf 6Cf0l9N/gbp7eU6f+PeeQa8iX7nlD+ZXWGc/MxMDC6IxfiP30RWx9ex89G2p Q8WGIsS5B6N5azYa14t4dl0J6rTS5HqhpnXFaFxXitot+eLveQKqdVLRrF4h cppy9K0ROcvufHR6RaNnQy3q15Whbkc52rZUocI8AVl7wlC7ugL16/PQJJ6P P9GEA//IUKxjkvtO5chzEhU1EiIPEfH+/nmpaHrBChV7ViMpeDUa1uzD8N9L cPiaQhyamYGRm7PR+YIzuu6NwqHr88+dy8Lz3u8KQ+46kXPo5qBBrVTkFcWo 3ZaHsiAjVG8tQItaMerXViLbKRClOhmo1k5H1ZZCZLrvxdDEtfKV7/mcn7Md 27Mf+5cFGUt5lEv5HIfjcdyDyj2FqQ/1on7Uk/pSb+pPO2gP7arYs0ba2SHs pd0HblTgMHF2/VWWAieBF3EjfsSReBJX4kuciTdxJ/7kgXyQF/JDnsgXeSN/ 5LFJ2MI9mskveSbfLYJ38k8/oD/QL+gf9BP6C/3mj+ru6Xf0v/cM+qQ/nj0/ 8iq5uCNHX/EQen17RHzai4nQIfi4NqM4dCcQEYKTzFXCAs6dQa+sSzkZEgiE +WHUwxNufu14t6QRn6bF47d4f/wa6ov9pm6I3yj+hjt44PdUG/zMOpYwE5wo dcNAbjd6/EQcHdSLnshBfJUXg1NBAfg2QowVtwenokXcHWWLk0mG+CZvNb7J 2oqTsZb4NtQGiLcAUi1xyEYP8atWYsdGK+GbVTiUnYD9PI8ypBbdialyzVVH WhT6zjuH8eL9tTgHcji+Auq7vbHXOV78XI7u8EL0is+4Z9dYXAZG0+MxGl2D ioBSvPhKvHzlez7n53JvL9Ge/djf3SkeGkIe5fZEXOrMS8WeAdSPeso1Yolp Qv8a7E+Jk/bQrh0brRH/yippL+2m/cSBeBAX4kOciBdxI37EkXgSV+IrcRZ4 E3fiTx7IB3khP+SJfJE38kceySd5Jb/k+aTqfJVJfkC/oH/QT+gv9Bv6D/2I /kS/+uvsynpG2nI0IgvH9SfVsFw2b1GuFTNxxuu7nHE4/EG8vu8VHLG1wBum rvjEwgVHTB0Q9ZwlDG7Sh/7fTGB0hxrMll0L+4f+jjGXW/Gl7xS5Cuu4vWaJ 2Hs+Du/Vx5tGIub1jMd4Wyb66jzRX+uL/hp/DNT6ob/aHyO1QWgpicBmXWes 07C95B5bzA3W77CVtStq++7GGtvn8LKZCV7VcYbaDnt5TuPmPe3QMs/CMzoW 2G5/NzRtz+UkPK9R224G1to8imd198lXvle3OVf/wvbsx/6Us9mqXXFupZDP cTgex+X41IP6KM5fmXpvMNpDu2gf7aS90m5hP3EgHsSF+BAn4kXciN+ncn7l /JyFeBN34k8eyAd5IT/kiXyRN/JHHsmn5FXwS56nWvN1yVv4Ef3paESm8v/K 1fX340qu8+rsP1DU2V+qhlr1PfroBwdQ0V8uf/71V1VM+zuqJ96HVXohNDO3 w7dzsYizeXb8iqnXRcl85QGEizjee/8ibCnYDP0cK1gWPAOdvPnQyL4Xri2K eYignnsRMbYCUVVbkJEegWydlaguM0XSa2sRtP8u0eZBXDSX0r0UYT2LRb7w KGL7tiNO5BChfXsQ1bdOrpeKGrsHyRluSKjQg3ffVmSPGyCoc5Gy1mOZXPcV LfKXgM5n8WJ2qXh9Tr7n81BZxyLyjI5Fsp9P/zYklutIeZQr5YtxOB7H5fjU g/pQrwvXilF/2pF8dK20K1t3JdIzIqW9tJv2EwfiQVyIz57CZ7Azew82C9y8 hR7EMeQSOCvythWSD/JCfsgT+VJtmqrikbyS38l8T+Uzsu5e+Av95qqvu1eu LzjR+BEOzJy8v+wU9w082z4Jw7cnKOJi5bmLXa/UiTi2DNUmESjSzkKziGGb RAxbqZ6Des1UeR5848ZC+axhfQlqNTNRqSfi3+3Z8vv5hlfLUGYSi2IPD9SL 922vlqBUxMa5DkFo2FyM5g08O13kCjsqceipZoyfzVfO1bxMzEzHkWsLMX5t CVr/6Y1kj61o3PMiKh8IFXF+BSZ4RryI+Q9cV4SmB4LQszgcB68rVJwZz3iZ n19Xiq5HnNH5eCAOrOtA3aZc1K+uRrmrMyp2hYi8owLNwoZy7QzkOQSjcS3n iiqQo5cD1zJDdBy7Ub7yPZ/zc7Zje/Zjf8qhPMqlfI7D8TrFuByfeig4yJL6 UU/qS72pPz+nPbSr0eolaWeLsJd2037icP7ZmTkSr0NPN0v8iCPxJK7ElzgT b+JeIvAnD+SDvJAfyZPgi7yRP/JIPskr+eUz8k3eyT/9oGtVnfQL+odib4YE 6Tf0n0vvZ5wt/e9E48fn+eXVcClU/QVvth9Em3e/3KO2O2QYe9x98GGQJ37i d+cX5CqT7x/Cg/FliDc8dqWhOeAgOuOHMJrdhE/zM4H0EHzh64HcbU7I0jHH F0H6OFPpjqHsLnT6DMi67L7AHuyPGsWxrEq5l+53YcE4GekjYm5zEYtvxteM xRNM8H2EDX6JE7F62h687mGM8DXid/f6HXg70AT7vMPQFipi/uwgdMfmofPs XsB5GAgrv2jt1+S7VzyfiC5Dql8CVhm5YCS2FP0Rk9pElKA3KkfIjcZAZIWI w/Ow7sVI+cr3fM7P++U5Kao+RVLOSkMXKXcipkyOc6mcRa4R4/krQl/qTf27 Y/NF/hKEVmEX7aOdtJd2037iQDyIC/H5WuZ0myVuJyN9JY7Ek7gSX+JMvIk7 8ScP5IO8kB/yRL7IG/kjj+STvJJf8nwpH6B/0E/oL/Qb+g/9iP5Ev6J/XUX/ JS59Kf+ufj08hjfNriAOvShvsZHfu7/pthKf+12PD0S8fMz7ORyyN8abu13x saUr2nbsFTGyNkyWXAvbFX9Hn/1sfOV3Ya6iPGdQxNpv+a/AUZfdeEfPEYc9 otHdlIPeWg/01fiJGF3E67UB6KsW8XtNEHrrA1DdEI3tlo5Yt90R65mPqGrv VedEinxhtYYLVhnuxlN7jPGCgS3WaDqJ5w5Yp74bavp2UBe/W1/W7xM5ggPU dOyhIfIODWW+wlp5HdsbscZ+OV7QE322u8hXvudzRc3+rYr2oh/7U87LO/uk XMrnOByP43J86kF9Vmu6SP3OPzfSStpBe2gX7aOdtFfaTfsFDsSDuBAf4kS8 iNtb/g9KHP8tc5Z55+UsxJ34kwfyQV7ID3kiX+SN/JFH8kleyS95/rO+QX+i X032s7/idWiKOvsLL1Utw8lT3yK2U+RwMtf5Xca1qnj1w88/RnzXQUS0xyGu 7yVE9N2D4M6Lz0hk/BzctRhhg48gsNUYO3MMoVm4HLq5C0VMvgSW1fchvFe5 Xqp9K2Ki3JCY4IrY/s1IGS9HTMdK5LZbInF4PYJZ4961QjG/0MUc5T5E9z6H qG59kTM4IqZHH9F9z8vnPJeR8xkJLdsRH+OF8KFliJ6wQvxRO4R0LBQ5xQqo zn4ME7kF61aeLW0Ur4/J96ozJtkupOMuJIh+MQetpJz4GG8pl/I5Tjj1EONG 9yj0iOrRE3nMc/J5qGqtGGvshf60g/bQLtpHO5OEvbSb9hMH4mEhcCE+unkL BV4PwEDgFthijLCBRySeU56dyf2KBQ+SD8EL+SFPvH5X8kceySd5Jb+T+b7U RX+h31z1l9JMfp99cHYexqdl/sH5KzkYmB+D0ZmZ8jv88ZtzMHFdBgbur0Lb phpkmsWjwDIKzavL0bBR5AUbC1C2Mxn1/Jk5h/KWcy+bClGll4xqvRTUbxYx 9CvVqDZKRNFeH1RuKUGxiz9KNXLRrFaqkLWhEDWbytC2pBqHpmWImDxHcWb9 zaxRET+LGL7uyQBk+7yCXMfNaFuQjtpH3TH4yF5MTCuU7Xhue9+9kWh7zBuj Iv7n/r0y37mRtR3Z6JiVh1wtQ7w2PwNj21pQv6YEFcaxqPCxRO06kauIWL1h jchBbINQoZOu+NkkEWXuXogM2YeCo4vkK9/zOT9nO7bnz+xPOZRHuZTPcThe rpaRHJ96nD3DXuhHPakv9Zbnzks7CqVdtK9tQQZynLcg2/sVaf8BgYPEg/mX zOVyJF5tS6tRu7lM4kg8iSvxJc4VAm/iXiXwJw/kg7yQH/Ik51BU3PEMe9Gf vJJfKUvwTd7JP/2A/kC/kP4h/IT+Qr+R8z+XyFfodwdn556bV7mK/tyovtv4 8NP/oiNoP8aDR5EYUo6IfW5AeJBcJ3SpOJX3SREX/xbmg0CbZJT79mIkSMTE AUPoiBnBQHYPPsjPx+mMCBxysEa8gSGi3BvQFzSM0Yg+dAcq9iLr9BvCawU1 +DEuAN8FhuPrBBd8WbAeJ9M08F2kNX6M3iPic0v8N9Qcmds0ELpyKw44G4r4 eg/ejdwNR6NsDBZ6oyUrEB0ZIehKTFWetXjpM0vO5RaFIrcox4ume5Hol6jI LSbVnLAWvovnViaEYyhS/B8Ozsfal6LkK9/zOT9nu7M5kOhPOZRHuSOxZXKc y595Waw481LoTztasgKEXT5wNMyRdtJe2k37iQPxIC7EhzgRL+JG/Igj8SSu xJc4E2/iTvzJA/kgL+SHPJEv8kb+yCP5JK/klzz/kR/QT+gv9Bv6D/2I/kS/ muxnV/WlTLq+/vcJvGXuiLfNrvD788nzLMaueG3fNnzkNwefcf8onsXhPwdv +jyKwy6aeM3VBP8Nm4U8jZtRbz4Hp0LvwMdy3ZJq/dc8xTom/1l40/clHLX0 wDv6VnjNO0bE4rnoY65SK+LzWv+zMXufiNk5x9BeH4ya3jCYujrg1W022Kgl chYtG6yXZ0Q64lVtZ6w0McVqmxexZe9s8foy1La7ifzAUuQFu7DOyBPrng+H +qpcmG5IxgZdZ6jp7cEmdxHT2NyiyFVsbsZq53vwTyMLrFdnrmMvX/mez3Xk mZNzZHv2Y3/KobwdK3OxXsjnOHI8jivGpx5b3GZLvagf9aS+1Jv60w7aQ7to H+2UcyqTcjXiocDFQ+JEvIgb8SOOxFOxPmyeEufbJO7EnzyQD/JCfsgT+SJv 5I88kk/yetzY5crnVc6uBbOT/kS/muxnf5XrjHKT/3+ffBtdx4unrLO/qI/y u/X4xij875vPJsnh+qFzfd/47Htk7a8TMbMzkgYYky9S1sCvUMwv9CxGau8/ EdzrCOumHdgp4m/d3Huglb0UhsV3I2yUtSYrEZzmjIAID0Q3qCNi7D4k9oq8 ozMPAf0PiZ+fRE67NRKH1BDWew8ie1cgsm+N6GchYnJLRPWKPr0iz+hVzGvI OQ3u0TX2KBKjXJDYrI6AnjuQfdAYHiK3Ceu6Z9IcxR/tZ6yYG2J7j2492T+g 53Ypj3Ipn+Mo5jWWyvEj+h6T+lCv8N5dUk/qS70Th9Yp7BD20K7wzlwk0U5h L+2m/cSBeISOLJb4ECfiZSBwI37EMaX3eYmrYv5mhaK2X+BO/MkD+SAvqkvF l4o/8kleye/laujP1t0Lv6H/ABfX5l81l3Ltze8//objm1sx9o80TMycIq6U dfZpGBJx5/h5+9NmYfTGXPSvbETD9nxk2AWhbkOJjIvrN3AfqVRZk829gRsn 5yxyzqQUNTuyUbUzCbVa6ah/tQqVWlnI93JCmUGq3HeqgfMyom/9+gL0bKnD xCzlOiPmKawhv6YUfbdloGC3PvL2rUPj814Y/3sp+meIHGiVGY4tdsfYDYXy u/7hW7LQ9OQ+ub/vwUlrk/jZ6PWi/bPuSNpmh8NijDExVpVaGSp9LVBuEosm EZNzbqJKT9joGIlytXIUegSj0EzkK1z/ZhqImpFl8pXv+Zyfsx3bsx/7Uw7l US7lcxyOlyzGbRLjU4+JSecrUk/qS72pPz+jPa8Lu5pXmUs7Dwh7aXf+PjWJ A/EgLsSHOBEv4kb8iKNciyZwJb7EuUDgXSVwJ/7kgXyQF7n2axJnirtY8kle 65U8k+90wTv571/ZJP1h8hmR9Bf6Df1nqrp7+hv97vjmNumHqjWKV9t1+vTP 2B97ECNh3bD1FHn9Pn/8Fsl85DL5SqiIU6MCUevijWB7ke+ED6AnWDFv0u0/ gPbwURF/9+H9BhHHV3fCVrMbZmoVKHFuFzE951j60BMg4uSUCXwdH4oTaab4 KtUKJ6Jd8EOkJZBsiVNxu1FrpAvfl7aizVwXPydY4Dfx/EykBXJCfeDlHYbx Qnt0JCWiL7JUse/XFZwJr1gHVop9TmnYYB6Mg/EV6A0/vx9ziM64fPSlTJ2v 8Dk/V+RGk+ZthBzKo1zK5zg9l81ZVGvESqUdtOdAoQM8vcKlnbSXdtN+4kA8 iAvxIU7Ei7hJ/ASOxJO4El/iTLyJO/EnD+SDvJAf8kS+yBv5I4/kk7yS35Oh l8tbA6W/0G/oP/Qj+hP96q92nf7pZxxyC8FxE2sRmzr8qdj0uJmDiJFt8ZHv nSIuniPrJz7bdzv+6zcN/wp4CgftLPGG9wsI2zgLe5+8Bm1ms/CF/52KOnuP Seu/3PTwpoUL3tWzxHsBcRhpVcyr9Ms8JVCRp/C1zh+9db4YrApEfY8jersi 4OHtjJe3WGKTph3W7XDHSl0HrLTQgJrDI9jueKti7ZbdrXjByBzrt1thtY4l thmGQft+D2ivCITe2jysfs4Z63WtsErHFi+53g9tkX9wX+K1bvPwvKmRyFHs sFbLCms0HOUr3/M5P2c7tmc/9qccytMXcrWEfI7D8Tgux6ce1Id6UT/qSX2p N/WnHbSHdtE+2kl7aTft71PiQVyID3EiXsSN+L1p4SrwPLc+jDgTb+JO/MkD +SAv5Ic8kS/ypqh/mSP5JK/k98/lsA7Sj+hP9Ku/4vX7GcUaoLbDeTj+2SH5 8+XiVFVNQ/FoJaqPNp73TNH/jHjPP7S/45SIh/sPjSKoNQOJfZsQOnAvwjoW I7r3Pvj2aSCqywGpAy/Dokbk1VlLoMN9dYvni5j9aYTnmsInwBvRxUaIHXsC of1LRN8F8Om3QOp7g4jtvR9BIhZPGXwC2e1WCOrQQHSHsYjpLUUuoCbylAcu rhsR8bs8p6XKEMnp7ogaXY6grmWI3/8k4vMfR+igaNO5/IrylVDmBKJ9fP5j iG9/QsqhvOQMdymf45w7C/JcHQ31iuxbK/WkvtQ7u91S2kF7aBfto520l3bT fuJAPIgL8SFOxIu4Eb80gWOEwNOnT0PiS5yJN3En/uThlMxPfpf8TN5PQcUf +SSvF3I61aXyE/oN/WeyP12Nl6q2+fPkY1PX3J9XZ58ia7gnfzd+cHom+uYW oW5tK/Ltw1AqYll+f8/v5Wu001GhnYnmdcUXxL28Fd/d8zv6Ku00VOsmo9Q4 GVWOnsgyTFHEw1x/JGLkps2FaH+5DmOsCb8pA4euKUHvTXko0jVBauSzKNtg j+HrS3D478U4wrmSuxKQtdMQB+70x+j0Ajk30fIw68ijMSFyAtU6MLnuSnzW tTgCbQ/7ovbxYPTNyUP76hpUmUWgwt0ZNSLHaNlegHa1JhGTZ6FsYyyqnghG 3T+LMPp8OzJskpGxzxNdfUvkK9/zOT9nO7ZnP/anHMqjXMrnOByP43J86kF9 JutHfak39acdtId2ZQr7aCftpd1Dwn7iQDyK9EwEPvkSJ+JF3IgfcZR4blTk k1mGCryJO/EnD3I+S86pFF7EGXkkn+SVbeQ8jeCbvJP/PrkfwvlzdPQX+o2q 7v7ABXX3qlr7z5NfP88fr6rrDGtYfsVE1TAqQsrh5hSGn0L8FTXVl8lXeFbH aRGnHvX0g4ddNcZCB9AdrNrPthcD/r1oDR/EW9VhOJHvh48ra1Ec2g69zU1w 06gXMXIfxsOG0ZZSgw/anHEywgXfBkXh11h3nEnZhUF7QwSt3IY8DW18FbFL 1m9wX6tvw63xS6Eugny0kRXmiBGRD/SdzVMunxewBn4wSvy/iKjE47qhKA9k PQrnRs5vx9xhf3ImujNCMRRRjrYQZb4iXvmez/m5IkealK8IOZRXHlgm5XMc jndx7f2l1ogVSntG4suEfU7CTh1pL+2m/cSBeBAX4kOciBdxI37EkXgSV+JL nIk3cSf+5IF8kBfyQ57Il9wfTtzkkXySV/L73WXyFcW6sCDpN/Qf+hH9iX51 Nebvl7y4nkG8vJtajLf1za+8huVsvmKP1y3scSzwQcUZgp634xO/W3DE/zm8 beaM93Y5wetRS2ydrgntO56B7tLZCF8/DcdcZuNb/1vxtv9yHHbejeNGbjhm bIfDkSk40paGnlrPc3mKck6lt9pH/OyF/jofdNf4I29oN0Y7PBEW4oHntjji VaM9eNVqPTbaL4WG4yxo2d4o9xnWspmFtU734lVtC6w32AuNrVHQmu8Es+v1 oG1cAaOFe7FNJxFqmmZYpemKlyw3QM/2BmzYOwcvizx6/Q6Hs+u1mK+o1pvx OT9nO7ZnP/anHMqjXMrnOByP43J86kF9qJfUj3oKfak39acdtId20T7aSXtp N+2XOCjnWlR5C/EibsSPOBJP4kp8iTPxJu7EnzyQD/JCfsgT+SJv5I88kk/y evzPrhOk/wg/ek/4029K//qrXYrc4if0HC+94vPKVfMvE++PoKAzR/Fsitj2 3LztaXz57UlkDR1BSps7AsZfRUYXc5VdCOp/HMHdS7CzSPh57p3QK18Kg6Tt sPD2gWeKDaIGnkPEyBIEdt6HwI4VCOtbDovslxHS7IigAda9PIvALl1Eddsg ttICiUMact1TSOeSKfblegDBXUsRO/gsUqP8ENWzWoy9WOYP3m0rENdjgYTB R+T58leSr7Ad28f1WMr+lEN5lEv5HIfjXaiDYn/hJVJP6ku9o7ptpR20h3YF C/toJ+2l3bSfOBAP4kJ8iBPxIm76Aj/iSDwju3Yjo1tT4ky8swaPSPxV9fRT zaer+CvoyJa8Tub5Mh4k/Yb+Qz+aak+5q+ZSqn76y59w+O7ii9eEKb+nH1io rLO/aD1PjoxRe2eXoVmjDPkuMWhQYx12IWq35KKee0pN+V39ubtlbSnKdxQg 2d8FRTq5yDFJQI5eMhrWlKJxXR4atpVh+LEqHL0mB2PXCVmcT/Bchwrjnei/ LRUHGZeznmZmBsZvYDwfhaL1tmi9Nxyj1xVj4LYkND/uhVHxmWqfKnmGu4if +2ZnoOlJTxyYnYrRO0PQuKQFZerFqAuwQO32HLRuq0Lfs63ouasAuevN0bnC R8bch/6eidGbS9GyMwPZuxLQPnKPfOV7PufnbMf27Mf+lEN5lFsfYCnGKZHj cVyOTz2ozyHlGfOqfdmoN/WnHbSndXE4ioV9tJP20m7az/yEeJSZGkh8OO9C vIgb8SOOEk+Ba45eisSZeBN34k8eLsUR+SOP5JO8kl/ynO8cI3kn/4pc5WIf kXX39J+bL6i7V64Fo9/R/yb749V0KfaZPYNPj/wHzl7pqHILkPtDXe479bM1 LGHBIlb1guvuNDT5j2IgpAc9IX3oD+jD/qgBvNcQit/jjfA997AK88FP6aH4 sLAAUftaoalRiSiPFHSmN+H1jGr8FuqP3xND8IaPFaLU1BGzThPv+pjKdU8/ x+zB9xHWOJlkhJM5q/F5gTq0At3QFJGIochykQtcqq59qrmVAhxOqILBnnSY 2KThSELlFPMfhRgMK0VrWjI6skIxfEG+wvd8zs/Zbqr5G8qlfEPLdDnepWvv p8qpCqRdtI920l7aTfuJA/EgLsSHOBEv4kb8iCPxJK7EV+Is8CbuxJ88kA/y Qn7IE/kib+SPPJJP8vrDZdaCnTfXJvyG/uMk/OjTw/+RfnU172N84XV2X+Pu cby20wrv7P6T8yvmNnjD1B1vuqrhvz434ROfW3HA72W8ae6M9y0dEPScCbSv 04Y5z4q8wRR6M/WgcevLMHpsIVKMHsVhiyB8amKLd8wdMZQtctrWaPTVeGOg Khj9Vawz9xGxuIjR6zww1BaGnrYY9FSH4GhrKEbGwvCvuhz4V+3Fyy4vY6vD XGg63ARtkQdo29wBTbvb5LmNmnbXYbXtKmzUjYHG04EwvNEUhtdsxfZt6di5 Jgq7phnCyDAKqzXNsVZ9L7aarceOfdPxirneRXsPn81XJu2RzHZsz37sTzmU R7mUz3E4Hsfl+NSD+lAvhX63SX2pN/WnHbSHdtE+2nlE2Eu7aT9xIB7EhfgQ J+JF3IgfcSSexJX4EmfiTdyJP3kgH+SF/JAn8kXeyB95JJ/klfz+GX+g/9CP PukeP8+//ioXvwtnfDn6fjNG3m8SP//2p2qmfz59Gv4tUfjx9I9/2G5yCNtx pBteaZkiDo9G2vAiBHfcDc/2pdApuwuWOWth7WYPS3FbF62GU/u9sK5aBNPy +6BfKtrk3Q2DsnsR2OoBa7+V0C4zg1G2MYwLNmJn6XI4NzyJqPrdiB9SQ0jP YlkXcl7NeafIFYaXIDbbEkl5FuLnxQjr5JopkR/0Pobk4wmI6ntM5BJXlq+w HdsniX7sTzmUR7mUz3E4Hsc9//yVFVK/+KF1iKrbJfWm/rTDKNtE2mUt/Jd2 0l7aTfuJA/GQuAh8JE7ES+BG/Igj8SSuYb3REueOo91T8jDVRR79m6Mkr1d6 KfZq+E36D/1IUXd/9c+xfOIxhpG/nT/HMnFDLoZknX38pc8ql/MsIk6fUYQK 9Vg0q1ejZVMVmnaUoNg4HrUb81DP7+uVtSiqm++5Nql6QzEKnXxRrJOGRvUs VJikIcsjDCWm+WjaWIO+LfUYmdaIphXhSPdejQzvNWhZFi3i80oxLus1smR8 zzMQR0Vs3LssBB1P70Xtg2Fy3qHtER/0zo+XZyuOT/p+f2R6Ptqf2YteEeP3 81yYO3xx6IEetHgHoMbVAy3r2jBxXzW6bsxD6Q4jNDwr4v9/lMr1ThMzszF8 QybK1GLQYZiFurEF8pXv+XxipmK9HNuzH/tTDuVRbq2Q3+odKMfjuBy/97YU qQ/1OrefgOJMyB6hf7uwg/bQLtpHO0dV59LLep4siQdxIT7EiXgRN+JHHIln qcA1yyNc4ky8iTvxr1auFZuKJ/JHHskneSW/5LlCI1byTv4vWfsk6+7jpR9N TKq7l3Mrwt8+8Rg/zw+vtuvsXudfvg4rZx986heInyKuLFdRxKlBOBPhhzi7 aBR4dWE4jGcL9qI9chivN8TilwQT/BC5Bz/E78K30R743j8MP4b44OdiBxyu doGjXRZ2be9AT2E7/hcVgIyNDvBfqYlBB2OcSd2N3+L3yLry7+LN8E32Bnyd t1bI3InXMvfCwsoNwzFl8oz4K84DWA8fU4RivwY8uSNJxOo1l5j7UOYrGfHY nxU2Zb7C5/xcka9cvE8y5VL+U9sTUezbIMfti7gyPRW6Fkr7LK1ccVTYS7tp P3EgHsSF+BAn4kXciB9xJJ7ElfgSZ+JN3Ik/eSAf5IX8kKf2iGHJG/kjj+ST vCr2h7syX6Df0H/oR/Snyf71V7hUtnz9weeyRvr4n6yrfos1LCbOOOymhQ8C bsW4+ya8buaCD/c4IPpFMxET68Jsuh6MeBbLDC2YXb8T+jfYQef+B6B13x2w e/BVFFkG462KCgy3iji8UvzurQxEr4i9+xt90dsagYmmFAxU5uJ4QhSOxhZh zD4CB90d8HqUmhjzebTFPQ5Tkweh73SviP9vUZ7PyPPq50LLfhbU3RdjvbYb 9Oe6wOQ6LZj+fQcMV3hBwzYX+rMtYHqjHrZqumKNNtdrOWG1lTpe2aWBddtc Ljon5bx8RZWziHZsz37sv0bLEtuEPDMhl/I17HLleByX41MP6kO9qB/1pL5S b6E/7aA9tIv20c4JYS/tPhpbLHEgHsSF+EiciBdxE/gRR+JJXIkvcSbexJ34 kwfyQV7ID3kiX+SN/JFH8kle3/qTtSvHlbX23wh/muxff5VLtZ6n/UgOTnyv tPEKv9RTrBU6g/KeEnz65SdKeVOf16I6i/LA5x8hacAeRb1qiOtOQ1x7GlIO b4RT87Mw9LWCiZsXDBO2QF85Z6CRuQQaWYuhmb0QOrkLRNz+ACzL1eGaEoZN iSYwKHwJenk893A+tLPvgXrWQhjnP4Z9xbsRMyhylknnzMuac/E+pnstUiJ9 EDf0DEI6l8rnXMeVMPgo4g77w7vjEUR0339F+UpEz/3wEu1jD/nJ/pQjz7AX cik/JdJbjsdxz+01sELqRf32Fe0S+j4q9ab+2sIO2mNY9JK0zzUlVNqrk/+A tJ84EA+JC+dUBE7Ey8TVS+JHHIkncSW+Rb3rkNRvjwP//RCqMx3/6DwV8kg+ 2fZya8HO9lX6C/2HfjTZr67GS1XnzH3CRv+ehombc877bnxwQTRGuT/VH5xV zn2pZFx9ezSaHgvG0OJGDD5RjertJRjWbETv+ko0qBWhZlMpqjeVybt+QxE6 XhVx764ctFkWYf+6LpS+VIveR4oxrlaAVkt/tK5pQOPq/Sgz0kGBpxpantuH seuLcfj6AozfknH+flic/2E+Mj8M/Yv9UfFoKDrnZqLlcU+MiRxg4oJ1YPvv E7HSslAc/VsxapfHouu+AIw8VYbhVA/UbKhH15x6DC0IR/0/96HseXeMX1ck zzaR9s7IxfisFDQ/FIy6zRVoOTJXvvI9n/NzxfxIpuzH/pRDeZRL+Rxn5Kly OS7Hpx7Uh3pNXhdGvak/7aA9lcIu2kc7FW3O3y+NuBAf4tQs8CrwUJP4EUfi 2SZwJb7EueylOol7q8CfPJAP8qLiiHyRN/JHHskneSW/5LnnjmhlHvgH+xXL uvsM6UeT5+joZ/Q31b5gV9s+xqrr998Vu2geO1KIaJc9QHjoZetWLq5hCUKz qzc87TtxKLQXLWHjGK/JwU8JpjgVaYlTsTx7xQI/xNjh6wRXfJmxC1/G2uGn INE3IwTtAaHYoJkOj/X2qFV3wfci3v4tLhgnIjxxMm4XTsi9wtTwbaouTkZZ AQnWyEzbAxfbWByJLbvC2hDVWi3hmwmN2KCTBR/bChxMKD+vxv7sHcV8pQxt mdFozwqfMl/hc37Odmx/8ViFUr63bSU2aGfKcTn+lc8DFUr7aCftRYKVtJ84 EI8TWVsU+AiciBdxI37EkXgSV+JLnIk3cSf+5IF8SF4EP+SJfJE38kceySd5 vdJ5NlUdC/2HfkR/muxff53rDE6f/gWHvONw3GjPn1wTZod3zBzw2i4XjLgY 4A1TF3xkZY/UVebQ4ZmR8qxIPZhM53mRptC+XeQK9y+Ew73XwGbhNdi98i6o ub8KuxxtdFf6oJ815K2hGG1Jw3hhJo7FpuGYgy/eMffBMQMXHNtthrc9XsFB r814z28pvvSZjfcdboLtomthteZ+6LouwQ6rm0TsfxO03O6GkeUzMFz7EHRv EPH59downqaF7fMcsdE6EerrImDyd23suH0PVmvYKs6d17LDU9baWKVpP+UZ KRflK8qzXdj+SWst2Z9yKI9yKV99fQQ22iTKcTk+9aA+1Iv6UU/qS72pP+2g PbSL9tFO2ku7aT9xkHgIXIgPcSJexI34EUe7XG2JK/Elzg6Lr4HhMhHjzdsh eSAf5IX8kCfyRd7IH3kkn+/I2pU/ka9wH2PhP/Qj+tNVOTn/B9fkOvve96vk WRp/Zm7ld+VcU/WRZtQebpU/XxjjquTxN0z74VwEd+gioO8xEfcvQvzwfISP uaMiOgae3h7YE2kAo7JHoFkwH5qZPH99sbjnY2fB3TAsfBqmeVoiRjeHd7sP XDsyoVGlA53s2SLGX6I4pz1X0Uc77y4Y5z0qc5aE4XXKXOEBuT9W1NgDSE9x Q1yNwaTakuUiv1iGyKGHkFLyAkKbxbO+K6xf4bkqon1y8Quyf0jn/WfPrw8f WiLHyUh2k+Mq9kd7QLkPmDJXyX1E6qur1J92SHuEXerCPhdhp4+wV13YbZKr BYOCpyUexIV9iBPxMip/ROLn6eWBSoEncSW+AQJnf84X7dfBfoH/rxfworpU vNUcbpF8Tub3inyB63CF/9CP/ip19798fApvvtwg4tw0HGDdPevsZ6eJGDsG B2b8wdksk2pdGFe3ibh6YE4CDv4tF90L0zBydxqO3JSPwVtz0XR3ORrvrULD ogr0zi5B392J6H/eBwdnleDArEIM3ZyHQzeI3OiaErTfmoGS7G1I6diKZENr jM0qxcQ/qnDgevH5tHRMTFflH4oYmHMLPfNSMXRnJA4u8BH5Sjial4ega1G0 jP/H5fkmyrxqbqqcyxgVMfORf+Sj8YlAVCyNQpNxEAb1yzF4Uwn2r/BG232R aHkoEN0L4uUZKePKM1IOX5+Hlvui0HF3MCZEztH6/hL5yvd8zs9VbdmP/SmH 8iiX8jlOk1GQHJfjUw/qQ72onyoPGFfV2Qg7aE+5sGtC2Ec7ae9BVR27Egfi QnwkTgIv4kb8UvZvlXgSV+JLnIduzpe4E3/yQD7IC/khT+SLvJE/8kg+ySv5 bVPmgRfWpEx5C/+hH9GfZN096+yFn735cqP0u6u1zp6X/F0ifnfktVShPChB xJsB+Paiczb+qG4hED+L9u/6+8LLuhCdoYcwWFGFHxPN8WOkIib+MVJxnuE3 mVvwVcEafBm9Fz9HhuG3hEAMWfoi+Xlr+K21gP/eGqA4Ct/7i1wlPBBfJzng izxNfJuugR+irXEqSsiJ2I3TeZbYF+aIFHvBRXzxRXUnl15jJf4fxVUh2q0W r2imYji2WT7rjyy+dL6SHYm2rMhz+crKc/kKn/PzS+UrlEv5HGeVVqocl+Mr xryS3KpI2kc7ae/pXEtpv8RB4EFciA9xIl7EjfgRR+JJXIkvcSbeX8bslfiT B/JBXhT8WEi+yBv5I4/kk7x+9ydyV/oN/Yd+RH+iX13p92hXzXVG8Zfyk4Jy vGVg8SfyFTtZ3/CmmTveCHoch9x34JPdrshfaw7d63XlWYTGM0TOcoMuDGaY QOuOTbB44AbY3nUN7BbfDAPtp6DttQzbfGdgU/A81NdFYqI2D0cTUvCaaxDe EbHz23p2eGOXE446muANn5fxYcBC/NtvNvp91PGR5xJ87jsfH3jPg9s//4Fd t/8NxvoPQ9f9DujZPwjTDQ/CZul0GN65HAY3m4tcQQOGN5ljm0Y4Nu/xg97d btj9t61YvcwLr2i7YK3IOTY4PAI1r9uwRp/nzV98LspU+Qrbyfb/j7u3gK7q 2t5401soUqC4uzsUaS9VWgoEiscTQgQCMQjB4+5KhLgnBBJICCHu7kCpUxcq t8ULXCp8b33rJCGhWO//jfEe7NEzDmefvdea8/dNypxn7bWWuI/3s53Fartl u2yf/bC/tRs8Zf+0g/bQLtpHO2mv5v5h0NeZLf2gP/SL/tFP+ku/6T85SB6c eyL4kBN5kRv5kSN5kqu6zRTJmbzNRytJ/tSBelAX6kOdqBd1o37UkXpSV8X8 lcffd4Xxwzi60xpXT9PRcZ79Jz80yz//k9/F2/LRny7+iMAcb3BuRMf7236z /+XyeYTUR8GmaDkCRX7vUjJG5O8z4HtiA/z9jJEQEQTzQhe4Vg3B7lOTYJ4x EXqpI6GVMAE6cYuhHm8I/Rh9UYMoQytpEg4cfREGWc4wzdSCWvQwaMZNaM31 x93N+VmzJMyBz4ltOFS7HC5cN7h8PHxPbkCI72541s2WNcrdefPT4FY2AY4Z 7yCqerWwcbysLR5Wr8jao3gcImvWwCFzmahd7tY/co5KEdcgm41g0R/7Zf+0 g/Z4n9iKTfGKWkWjvVZRvOgP/aJ/9PNA2ovSb/qvH6sveZAL+ZATeZEb+ZFj ouBJruRLzuRN7taCf0h9JH4VenTU567uv+Ngjhd+vPhjJ30fKxZadWccPRXz 7lt/275W/aNinbDeiv0Hq4YFoKb/oc7z7B82xiJy84ohIcidby3XsmroLeqV wX6oEzlqc0+R53ePxOlukTj7HNfcjcKp2Xao5G/z3UXO2yccZ7vEoKpLMnJW uyAtXhe5gZo4ttENJ15rROPaTGQsO4HaF4+icoZ475+ABrbbvXXODed9DApE 0cBQnB1pg6PzXHF0gZ1oN6LzemDCt1zWBAPCRa4fq7hvjDtSX3FB+oa9yO8b gby5Vqgc64PKnvE4Nc+q07pXcryjewIKZtqjol8IimYk48i58SiekSQ/83x9 h7kybeuosR22x3bZPvs5JvpLfcUV9aL/Rrkffay0K7e1luq4Xhj9oD/064zw j37SX8U89mjJoUGu5Zag4CM4kRe5nXi1Ecd03CRPciVfciZvcid/6kA9qAv1 oU7Ui7pRP+pIPakr9aXOihruEbVK27x7EUeMJ7l/T2/FumCMt47x98Qdin8o 5T5OZgfE35uoZNwOcMQ1t8fPUWXN4umKW+422G8YhpPxObh9aIvIgbeIXHib eDfH1RBtuUfI5UMquOlrBoRtxReORghYpgeXN83xyS4Rc+Fu2GdQjKbIalyK 34VLh3RxSeThVz3dcN13F276bRY5thFueZjgp5Mit9vmhlM2Saj2e/znq2RN 4VOMN9aFINQ6E/X+R1H+oDkl7fWKJ3IjfVvrlbjWeiVOfuZ5fl/FfV7uW68k yfbZT6j1CdFvsOz/Qdfe70X/6Cf9/Vn4Tf/JgTzIhXzI6dKhjYKbpeRHjuRJ ruRLzuRN7uRPHeTeNkIX6qPQaYvUjfpRR+p57SH7rtw3DkTcMH4YR4wnxf5g T24tf9+j9d/hS1/9gI+Mdj/musYcV9mBc4YHcN76Zfzg8Cy+tFqK5OU7oNNd HXrc176nBvS76UCrpxG0J82EyWQl7BimhC0LRY5hNg+q7sOwxn0INPdNgbbF G8i188H5bQfwqbYZPtlkiXPGu3Buvzo+dZyDbx0VayX/YN0Xn9lOwVmb5fjO rh9+tBoqvhsMt6VdYd5XCVqrFkJ98+swnj4Q20VfxpOUoD3mTWx+1gCGvUWO vtoXK7buxKr1XtgkagfDZ9dj2VRnvK5ljXcsZ0HFohs2WIyGsqa5Yq/5x6lX xHW8nvfxfrbD9tgu22c/7I/9Gor+DXsLW541lHbRPmmnsJd2awv76Qf9oV/0 j37SX/pN/8mBPMiFfMiJvMiN/MiRPMmVfMmZvMmd/KkD9aAu1Ic6US/qRv2o I/WkrlLfx61ZRNwwfhhHHePqaTmYr/7x102UfpqC23LPlX/mX9vV//3rNkJq 3UQbivXT5G/3rflr409fwavQFP4lC+BWOg6uNRMRUKqMyJDdCA/Yj6Cc15Fz 4RAsy7zgWTgAXuVT4FsxD14VanDP34odGXrQSXlD5PFjRQ4/FAZHRP1QpAc1 p/kwiX8Fap3GJjrm/OOxIXokdmXMRXyRKQIrl8CrfhYCPPfjUAH3RhnXeS8Y uY/KSLg3myPsrBlc2/dgeUi9Ir7ndYfE9W7iPnl/6d025XNmop+Q/HXwF/2y /8DKd6Q9tGtD9Chp599sF/7QL+mf8JP+0m/6ryk4aKe8ie2CC/mQk+QluJEf OZInuZIvOQeUKEvu5O9fvADehSbyuTyFiH+1j7VQP+pIPTvq+08ignHEeGJc PenPTt75o7UGW5kjc8mGvtGt8+wfnY92HGNpei4ROTOcUSby8sbu8Sgb59P6 HFWM3BOEuXVtt0QUvmiLirG+aOoZK9ffbVQ6gvzJoTgSqIP0hHXIelPkMl2T cUzDAXnrD+O4cjxOroxHzrrDOLnmCApXZaD4tSyUDzksxxTqesWiYqQ/qrh/ 5DB7FLxthoLpDmjolqDon/UD94yc6oriSe4y127qLXL1HgloGeiOo5vMcPwV UYPMsUFZf5GnP5uMvBlOKBZ+yPGZtnqlZwyq+4Ujc4G1aFvk68OC0Xxmunzn Z57n923Pz/E+xfiIj2yP7bJ99sP+0nTNZP+0g/bQLtpHOxvlXjFRiufKhB/0 p1D4Rf/oZ8UIf+k3/ScH8iCXrDVHFJwEL3IjP8lR8CRX8iVn8iZ38qcO1IO6 UB85H16O2cTI/qmj1FP4QX2p82ONrbQ/W9gaTyKuGF+Ms45x9yQef7XOhW76 +HtYWYWjLqEUF3298Zu74z/KU69wj3MfewSK90bPLbjD2sLHTObVct/H2Hdw zZ/r7prisq8REtQM4LBIFyVmBrh50Enuj34iKAR7TONREpaCoqSjuB7uit+c mS+74qqPLX4LMBL5uTH+8tdHZfo26OuGotLnIfPXuS+KeFWxHvHgGsOxqPMq wy7D41DXFLr7F6HsQWMr7fVK2xwVf1GfHEauaxLeWewj3+VncZ7fP6xeYful oh/2pyb6Zf+0g/bQLtpHO2nvg3yhn9LftG3S/+t+xpIHuZCP5CR4kRv5kSN5 kiv5lpgZSt7kTv7UgXpQF+pDnagXdaN+ga16XvkHc1fk2gsibhg/jCPGE+Oq Y5w9FUfrv5M3fr6CD7ftEXmn+WM9A3baaB8+sV6A72x747L9YKRvHwNNzufu pg2Dnq3Pfw1eD93Jo7BjtBLMxjwP3XWzoeUyDat9RkDdaiZ0tebDeN4oqE0f i7wN2/HZ5r04s8ME79uswGeOk3DBoZ9ck/eC9SB8azMUP9n2wun9y3Bm70r8 Yt0H31oPxUX7vohU7g3Nd6ZBY98CrH99EnYOV4L5pH/BeGpXaD2/XuTjRtBb cgjLNfdB2Wg/dF52xsYuajDqooK3Z3ripf1vQ3VHd6ia9cV689F4Q2OPYn/6 x3oezERez/t4P9the2yX7bMf9qdsdADLRP96bx+Cfvct0i7aRztpL+2m/fSD /tAv+kc/6S/9pv/kQB6Si+BDTuRFbuRHjuRJruRLzuRN7uRPHagHdWl7Pox6 UTfqRx2pJ3WlvtT5sZ4NE3HD+GEcdYyrp+Fo++276as8VH+eLTLNv/7Rs2Cd 27mDspYEfHShun3dKT53VHAmFq4F2nAqnQnvmrHwr1yEoFhTBPk6wD9DC571 L8KuuD/SmnfD8sQe+FXMFfn0RniU7YRnuQ78y1+CT8Uk2BWMg2HaBKyPHgej wxPhUWkK48BlUAkWfz8T/p7vt73Uo8dD9+hoBJa/jLhyQ8Sn70VorAU8a0bC tXiynCvv2rpHCWsPl8LRiD6zFTa1RvAoGqXYC/4h9Qq/9ygaDZsaI0SJ+zjP XVHjTJftKtqfDC/RH/uNT98j7DCQ9tAu2vcg2+kX/aOf9Jd+039yIA9y8RN8 PMu0JS//oo3wq5wjOZInuZIvOZM3uZM/daAe1KXwTOfnw6gfdaSe/8vYiJx3 L+KI8cS46hhnT+Jx5w/F73hXCr5D3TMRqBkaiuqHzbN/yHyFmtZ9Q6p7i3sH BqCqf5gif2+dP1423hu5U93QInLeJqVElAyMwHHLbUiLUEWhsgsqux7GOaVY FA5LQfoePyToHkLu0sPIkutUJcr1qU6sSED22mRkLz+Buj7xMtcvHe2P6r5h aB7qgPfmG6J4WBBaRH/1Iudufi4BVWO8UTzbFo3PHBa5dxxqe8ajvFsKjom6 oUhnIwpH+aK2TzROi3uq+ocje8EBOTbS1KEea34uHgWTPVA02R1N/0pC08gQ fPLxW/K96ZkkeZ7f87r2OShyLYBY2R7bZfvsh/0V6+ji2CJ7aQftaRJ20b4S YSftpd20n37QH/rVJPyjn/SXftN/ciAPcpHrdwlO5EVu5EeO5Emu5EvO5E3u 5E8dqAd1oT7USdZKQjfqRx2re8co9oPpE/XQ+UwPmnfPeGJcMb4YZ/Kn4z+e 1H9n7ijyyD9vwcnlFOJsk1F7sBA/JQbjhosDrj/mM2HXxHW3XO3wbUoE3FwT kLFfDwjYgcsh2viVYyqhKvjroDl+D96Kgi1bYPvyZqRqGeK6vyH+CrLCJTdv /C6+TwrzwI7Noub1K0aeXSOqwipxI0zk4q4OuOrpLvJrC9zw2oZbydqIjd2H A+tELAd3WINY1ieixuAeKp7cMz4Rpa7JKAhMQ3lwIvLC81F6NAlLt+1EqnM1 qn0fMU9ftFUp6xVPUZcEoNYzDad8QrFMbRVO+YbKzzzPeqXyofWKYt48+2O/ S7dZSjtoD+2ifbST9tJu2l8px4HuPhNGP+kv/f5vkg5ueG6TPMiFfMiJvMiN /MiRPMmVfMmZvMmd/KkD9aAu1EfqJPSibtSPOlJP6nrtcZ8NFNcxbhg/jCPG E+OK8fVX6xp0T89xR67cedozEp8+7JmwLXz+aCdajC3xkc2L+N6mN351GIYy 0z7YMrULVPuoYTN/q+fzX8PexdYpz8FimBIM54+Gzq4XsSFoCtRtZ8BAdS6M Zo+A2chnYDlWCRvGz8URQyN87vAqvnAYjh/sXpDr6nKf9rY9D5mjf2M/AKet 1uIT56n40X4EvtnbD997T0V8+JtYuXMo1PeOgP7ql2A6+BlsG6UEleEjsHLw Hmjq+kJP1K5qbrpYrGYP9Qk2ivksXbTxyvKNWLV3iNxHRdW8L9ZYDMZC7rmy 3hxLH1Gv8Htet9Bwk7hvkLyf7bA9tsv22Q/7Y7/sn3bQHtpF+2gn7TUQdtN+ +kF/6Bf9o5/0l37Tf3Jo22uTfMiJvL4U3MiPHMmTXMmXnMmb3MmfOlAP6kJ9 1Ia/K/WibtSPOlJP6vq9TS+pM/Wm7g/cO5JzV0TcMH5+b42np+mQv32L/9Jq A3D5+s+Kc/+Dj201zrn/VOKryx/JP/9y+VOENETjQMEy+FeNgVftbAQc24wI bwccit8q56F7VI0Vub54VUxBYokJPA/tgW+VEfxKVsO7fLbI+8eJXH+S3PPQ S9QAnmXTsTVzjDi3DA5Hl0PnxAGsjp4K7dgxD6lXxkH3yEQ4l41HWMUS+O/Y AZcTugio2yT6eQVe5bNEjj8Z7sWsM6bCuXgCQksWwyNpIdwq7u7X8sD5K3z2 S1znJa4/VLpY3s922B7ble2LfvxFfy4nNor+t+NQxVvSHtpF+x5kO/2if/ST /tJv+k8O5EEu5ENO3mWz4S+4kR85kie5Sr6CM3mTO/lTB686cb04by30CW2I wS+XPpW6fXX5Q6ljR13/UUy1z7v/WcaVzL2e5Bpfbh90B7e/voGPFmWhrJ8H 6vv+D3mpHGOJR+kYH+TPdEBZ32jUDg2QzwQ1d49F6aAwFL+8Dy3PJqOmSzKO rbJGbPRypO8wQukL0WhQSkZLrwg09o5D+ZJsJG/zRaqhD7KWpeLkuyIXX5mI UysSkcO9JJclIX9lGpr6JqK2dwRaXgjFue6RKJ5sj5w5e1DxgrC9XxjOivOF ok6IeWsP0md7oGSWk6gvXFA90hPHXrXGyW2bRO4fiKauiXJv+UbOx5/qiiKZ t8fffRaMz3b1jEPOPGuRw0eIWkLUQsNDcbJpsXznZ57n97zu7vNcijGWovFe ol0X2T77ae6aJPvNFv0fe9VG2kO7aB/tpL20m/bTD/pDv+gf/aS/9Jv+kwN5 kMspua5XouRFbuRHjuRJruRLzuRN7uRPHagHdaE+1Il6UTfqRx2pJ3Vteu4x 563cU8cynhhXjC/GmdyL+An9K9O+1tG1q9hrliWfbzrlU4Nz4cfwO58Feox1 bJnL/tfZAZ/FR6A4JhPH7I/C3sIKNyKV8Uv0UtwK4p4ppjizdytcXzNCiPIW fO8izoWa4YafMS4eNMbPYVvx38gtyN4bjwPLitHkW4kyl2IUONWiMrxC5OJu +M3ZCVd9bXCdc8NPrMe+/cHw3SHiNyAZ5e6Jiv3j3RJR7CHq2JCjqAhMQV5C Bt47Eo0zEQn4MtMT/42xQczWuUjwWIXa8GqUejxiDkl7veKB3PBAVHumIzPc Bkt1luKEeOfn3PDHq1fk3HnRH/tl/zFb50h7aBfto520l3bTfvpBf+gX/aOf 9HffgWD898QGXBd1G3mQC/mQE3mRG/mRI3mSK/mSM3mTO/lTB+pBXagPdfol ZiluRClL/agj9aSu1PdxahbGC+OG8cM4YjztNc/CxetXOsXb03C0rTt74chJ fKBthE/vV69sMcdn+rvQuMMYH9hNE3mzyGnth6JqZz8YT3sW2yY8A+3RL0O7 mxl0pkyHsciXzcf0gI7GHGgHvgQ11zkwWD8LJtMGY/sIJWwfx/kUPaA9dgF0 xk9D0faeuOTYF99bDZR5+PetdUrb64LNQHxtPxx1Zub42mYUftg3CJ8dfAnv NysjPn8Clhp2x2rL0di6fgZ2zVfCwZU94WGxFGEnd6KoZTZa3p+C6DNzoabv h619jKDTbQvUhrwGVeXZWL9rglybS9VsANbueh5v7FAWdYgllj5ifbClch8W S3k97+P9bEe2J9pl++yH/bFf9t9yboq0h3bRPtpJe2k37acf9Id+0T/6SX+l 38J/cujI5fvWuoXcyI8cyZNcyZecyZvcyZ86aAcuFLrMlvpQJ53J06Vu1I86 Uk/qSn0vWPcWek+XulN/xsHf1gUT8cK4Yfx0jKen4WjLKy9cO4+yz9PBvQP/ L/9Icu7C7d9/w+dX3kPTf76Gd4GZyNNnwbdhAg6eWosgfyuERB6AZ8nbcKkZ DbcSUcOULoB3hQb8K4wRk74NYVYiz2+cAXeRY7sVT7m7t6PcQ36qHLdwLBqD PdlrsD9fH3o5jtiYMAPqMfevVzTFS43jEaIucK+bBL8oUwTFiTqlegECaw3h ka0C11pb7El7F261m+CeL2qq2rlwzhmPQ6fWwb9mFpwLWJfMEPXJ5Hvqlcny vHPhJHldaM4GOOeOF/fPke2wPbbL9tkP+2O/7N9f2EF7aBft03xQrSX82pg4 Q/pJf+k3/ScHtw77uCjGeaZIbuRHjuRJrt7lGoLzfHHNGMmd/KkD9aAuPkIf /5LZ8Mk3RaPQjfpRx//b2l6KPUIZV4yvjvH2JB5ta/1/6NYi8kpfNPWKffA6 tY+oWRr4XNhMR5RNdEPVkIOoF+3UvxCJwtl2KBF58clXHBHjvRJJVhtRPDJc 7qNyuqfI68U1jV2jkDvvFDL5XNOaUByy9ESWcgpylhxB1vJUpCsfxbGVSTil EoOapUdR3SsG6bM8kPyqPcpmO6JAWxk5i4yR9KoTkhZbIXeqJ3IXb0b+XFuc muWOzMn+KB0YjjNdI5Gz0gapWuao4FhST8X6wDXChpz5VqjtFd15bIU1xyh/ 5E1zRhOfM+seg9phIYgqekm+8zPP54rveV2ndb7Eq1bYyXbZflPrPPSKoYGy f9pBe2gX7aOdtJd20376kfSqs/SL/tFP+ku/6T85kAe5kA85SV6CG/mRI3mS K/mSs+QtuJM/daAe1IX6UCfqRd2oH3Wkng3/8DmwuzERLeOJccX46hhvT+Lx 559/yfnQKcercdC0ANWRKTjhnY2z8adwPdAJ1x8xh0WOqzg54OvEQBTEp6Pa JQUFgbGwdNLGj4dWiTzYAt86myJkuTHcXtuK0zI3NsHtABNcDNGUzyL9EqWN S55OuHPQDXXucdj/dhbq/SpQ4lyOCtcSmYNXyZrFHdfcRW7utRmflBrBQiME x3fFoMw/DSWhKSgJOIrS9FR8GBOFs8mx+CXJBxf9PPFbkBNuutrjdz+RO/rO h/fSXrgcZoqylHRRDySIGuMBz4J1qle4x0ooyg9G4kSIs8jB9OQ7P3PvFX7/ yHqF/Yj+2C/7917WS9pDu2gf7aS9tJv20w/6Q7/oH/2kvxYawdL/G55bFDwE l6rWWoW8yI38yJE8yZV8yZm8yZ38qQP1oC7U51snUyDMQuj2rtSPOko9ha7U lzo/smZhvIi4YfwwjhhPB80KRHxVKebd//kU5WStf++/OffV/fdhETnqeb3d aNmljw+dx+GC1Qv4ReSyDbv7wXz2szAZ+Qx2TlSC1sQZ2DhmopyTYfTKaGi4 vAlt/1egrzYDplMGYIfIm80mKEF/8kBojn4dWv01RD5vBq2B/0axcVf8R+Tj 31oP6pSPf8dxFTmO0AcfWi1Ci4OKfC7qevRbOHduKeqrRiDi1CA4hA8R+c88 pAQZ4T3zZaiycUXjR+/i0+bhOF07GU0tM1DXMAWrtnlBs6sZVIe+I+f+ay2b izW7J0CNtYb5cKhY9MG725Zi2fpdWKbGZ8JMOoyndKxXTBTfi+t4Pe/j/WyH 7bFdts9+2B/7Zf+Nwg7aQ7toH+2kvbSb9tMP+kO/6B/9pL/0m/6TA3l8dw8n ciM/ciRPyVXwJWfyJnfypw766jOlLtSHOlEv6kb9qCP1pK6NQl/qTL2pO/Vn HNxbs7Ttu8L46RhPT8PR9tt56XspuHDp/5ZTtrXFMaj4vENwy9sEx8ap8C17 S+7xHuzH3HgNvOs4NjBWnH8TB0t04FW2A17l2vAUeXzEiVk4bjcVrvWz4F7Y YY+S1pesV0ROblU4AwahS7AuaiY2HjbF5uSpUI1+WL0yHtuOj0J46UoE+Dgg qJ77So6DacYIGBydDJXoiTBIfhua8RtglLwJLiUWsDm1Afa1zvArnQfvqpmi dmKNMBZORS/i5YQM+c7PPM/v/UQ9YF/rKu/j/WyH7bFd2b7oh/2xX/ZPO2gP 7aJ9D6pX6Bf9o5/0l37Tf3JwK/k7I3IjP3IkT8/qhYKvgnOg4E3u5E8dqAd1 oT7UiXq55eoiITcUv9+j6z892mthEVeMr/9LW/9/Oe7cFvW4eL/g2ow6pdC/ 73n/uK+eoj7pE4WM+TbIH+eD5i5JyB3ri5w57kjYrocYt5XIftVB5MtH8Z5S opw/UdczEVXPxaJqchqK1A8jd3UIklQjkWjsjhQLJ6Rt9cYpdV8kbvGDj509 fO0P4tTMADQOckPZwj04+aIj0sZGIHOhJRrm7MZZUS9U9IlFzit7UTLOD6ef TZJrd/F5rNNd40RNEYbUjbYo7ReJfM7b4P6XnGsyyR2Fk9zk/vJ36w3F2Eq2 qDcq+nEeegwauwubhwYjKXWqfOfnZuF3pfie13UaY2kdd2K7cv6M6If9sSZh /6m6tigaGSbtkvbRTmEv7c4V9tOPs5wvI/yif/QzS/hLv+k/OfjaB0ou5ENO aUbekluiiTuSVCIlT3IlX3Imb3Inf+pAPaKFLtSHOlGvFqEb9aOO1LPTno// ZHxFxBHj6YJri4wvxtkTe7T+1v3nn7ewe2cq8uyqUeifi2J/UecdbMGVQA/8 5vbgOSzMXW+KHPbnBF+UJqaj3E383Qj1Q228Axysw1F8wAxZ2uawXWCKws3G +D3IDH8FmeCSyJd/jV2GS1Gr5f4hXFf3qqszboc5oSTiKHYvPoFakW+XupaL NstQ5VyEAgdRs4SW4ZpvIG4mGqAuyxKqhodRkxmBD8Li8MnxUFw65IlLAe64 5e+I2872uOHiKOdSXHV1x2UfS/z32BsI0OuOCufRuBNthNOxUSjyOoIq78d5 HkyxJ2RxhKiZfcKwQkNFvvPz49Yr7KfI+4joN1r2TztoD+2ifbST9tJu2k8/ 6A/9on/0k/6qGKYK/3fiZvwWXBU8qkLLFXwEJ/IiN/IjR/IkV/IlZ7l/jeAu +QsdqAd1oT7UiXpRN+pHHakndaW+1PnmI2oWxgvjhvEj40jEE+OK8cU46xh3 T8UhfPn98mV86RWMj3WNRU5q0V6rfKq3B+9ZbsQnrsNE7toPP9sNxdl9/bHz xS4wYQ0yXQmbJkzDul7rYTK1B3TNXoH2QWVs0n9RfO4nf9/fJvJg3UkToDl8 GbR66WJTNwMYdtOE9vO6eHf8JOQZ9cQvDkPxjZUi9/5eztEYhJ/sBuOSOP+z e2+c3q+CJsN3kOcyFkGHX8K2gAFYbjMZK3e+hZNlZmjM88QZC1t8I/7fXZ0T jHqRWzRVTkbD6ZloqJmC9z+ZDbf9u7G2izJMpz8r542oLZ+NNbtEPmT+AjaY DYSGRW8s01sl6ngbrFDdDmU1C6xQ346lKqZ4e52FfOdneV58z+t4Pe/j/WxH tifaZfvsh/2xX/ZfL+yoF/bQLtpXJeykvbSb9tMP+kO/jIV/9JP+0m/6Tw7k QS7kQ07kRW7kR47kSa7kS85avXWhOWKZ5E8dto9UkrpQH+pEvagb9aOO1JO6 Ws7rInWm3tSd+jMOGA/tNYuIE8bLVyJuGD9P1d+J1uPW79eR2uiP2388fJ/H hx1t47G/Xv4cIXXB8CizRHLzRoTG6yHC1xX+xzbBu34aPConwqdYWXxvBu8y E/iXvSvy6FnyWSa3yilwTR2HDJ+l8GuaD9fCSX/PxcXLs2wKjNLF69gu7Dg6 G0ZO06CVMgnq0WMfWK+oRI3B7tKpOBS4G34nNGEr6gzdlImiFhC1fNRYOXdd PXYkNGKGYGPSVKwPnwCHUnU4ndoBzxprBBRsFDm/LgIrlsC2cCEWZJTId37m eX7P63i9Q6kG1on72Q7bY7tsn/2wP/bL/mkH7aFdtO+B4yvCL/pHP6W/wm/6 Tw7340Nu5EeO5EmunoIvOQcI3j5lpvAoN4NvyXKpB3XxP6YrdaJe1M2jdCeC hY7Us6O+/8vBuGJ8Mc6e+KP1Uek/Lt9Gy4hENHDd4P9hjEXuzdgjFmVDg5C/ yBI509xw1GwFAgPeRtbqnagXuX1F9wRkTvcWdYYzaic5o4l593xv+Dj54+B+ F6Rv8kGWnjOOiXz7sKUdwrTjkLk6HqfWinxHPR1l446hpgvnwsehZGQAznQT tdW/UlEx1gGn5lohZ2g4chfsR8V4T1Evidqjd6RinWHuMdklDml6+1Awxx+n uX7yNFeUjvKX89pPLrBCNcdA2p6FY63BsZVJHsif6irrGO7Xzv0PmwaGoDB8 pHznZ3lefJ8/1UVe32mMhXP1Rbtsn/2wP/bL/mkH7aFd0j7eI9qi3bSfftAf +lUxxkH6SX/pN/0nB/IgF/IhJ/Iit2Om7sja5Cx5kiv5kjN5kzv5nxA6UA/q Qn2oE/U6JXSjftRRrqX2P46tMI4YT4yrthh7Uo+2+c9nPv4K9uYn0eBRjRK3 IuQGx6PEtwrfpETgpsib7zeH5ZqHC244O+BKrCdqEk6g2CsKeTG2qIwMREPg SZjpZWODqEEz15ngVx8L+Vv+FZEf/9Jep2zGDR8z3PQ1xg1/kXf77MJVkRsf Dy/BriXpqPYqR6l9OQod65Dv2yTqgFJkhbfg49yjOF/hjLr0vUhRscbtSDfc 8rCXv/3/5uYkX1yfSubUnuLdnfsi7sLvaW+g3GERvNXG4saRlbjutgefpxxC adBhVHo+ql5JRWGkqHXjnVAV6Ytsp2TMX6Mv3/mZ5/l95QPXM26dLy/6YX/s l/3TDtpDu2gf7aS90m6uIezm3O4T/aOf9DdFxQq1x/fg0ypnweOI5EI+5ERe 5EZ+5Hg8vFhyJV9ylrx9zCR/6kA9qAv1oU6Z602kbtSPOlJP6kp9qfNVoTd1 p/73m7vCeGHcMH5kHIl4YlwxvhhnHePuqTju/AXO9vwoOBmfaBri462WIhc1 wyf6+/C+yFG/cB2ECwe4//kQfGI1AAcWiFplJPPxHlAf/Dq0u4qceKEH3vUz hIHFAhjN6g9z7rEysQd0xs+GxkAV6PQ0hF63TdCXa+lqQL+HNnT7amL9rBeQ bdAXl52GKOoT8f6D02B8aTUYzTv7IVOvByLe7QWdmTpY9dp8vL57DV4yeAv/ Fna+xf1OVHcjMeYAzucl4VOjvaiLTEV5/SY01Y1AU/0MUa/MQGPlJHxwbjqO hKth6+hnYT7xGZG3PwPtFbOxdvcorDd9HhvM+0LDrAdeNX8DizV2YiXHVDZY 4I01ZliutQvrtu4V75byM8/ze173mrie9/F+tsP22C7bZz/s70iEmuy/SdhB e2gX7auo10W9sJd20376QX/oF/2jn/SXftN/ciAPciEfcrrUyo38yJE8yVVf 7n+joeAtuJO/1EHoYTSph0IfoRP1om7UjzpST+pKfakz9abu1J9xwHhgXDA+ ZJwIOxk3f7bG0dNytM83+b4M5//ThP9ln4yOew42/Pg1PIsNEVi3EMGnzOFk 54zAOEP4V8+HXy1rEhUElJojoGQTvCreFvnzZLiVjFc8w1QyDd4VU3EgYzoO pdkjrGG+fMbq3lxcrhtcOglbEhZA138+QmrXYU3Q29CIGyFy+3vXMm59xUyA ZsoIOKdtQETgHhyonA411if3PIOlWFtsgnz+Sj1mNLSTxsApfS3cC+fCu2gu AuoN4ZOjDP9Ke+ga74RfpYP8zPNe4nv3wjlwSVsDnSTF/Yrn0yZ0WrNMs3Uu DfunHbSHdtE+2nn/OSwTpH/0k/7Sb/pPDh5tazB3eJEb+ZEjeZJr27Ni5O0l 6hwvzuEROgSWmAldVOEr9PGvnif1om7BOUInoaNnkSEaf/zmb1o/dny0Jl+M L8ZZx7h7Uo+2vcb5W3iNUtA/HmPhGrdNfSJwlnuKKKXjmKoh0mOGIXfnO4ha uQsZ0zxRN8IdTWOdUDBb1CMzvZA3LBw1z4ehcgmfa4pHmvJhZK5MRubaWBxf mYKo7Z7IXpYqXokoWpuBlgnH0dIlHM3yObNwNAwSebtcNzcShQvNUTvBDhVT HFE6IKLT3Hf5XNezovaY7Y/jBor6gGMlFQMPoWCGyJ9GBiJnunOnsRXucVLZ N0ox/75XjKg7ouS8+JpuKSgd440Wzz7ynZ95nt/zOl7P+1p6dKh7RLtsn/2w P/bL/mkH7aFdtK+TvZwPJPygP/SL/tHPBrmGc4D0nxwkj4nHBZ9MyYm8yI38 yJE8yZV8yZm8yZ38qQP1oC6ZQh/qlCP0om7UjzpST+r6OGsY3zu2wji64Hq6 U3w9mUfbPPv/wsUtA0l7ClDrWY4Sl2oUhsQhx7sSH4Qdx20vG5FDu/5tXEXO 7470QHVkBTL9RSwnuqEu+CQid5dg+dJiaK4qh6WJqBkdNgORqvg5+u54yg0f czmPgnt//OazDTd9tuKWtyGu+zoi1u0jmGpkocS/FqXJFXg/OhHnkqLx62Fh x0FL/Ba4DR83myPL0QL5+ntwx9sVV9xc7vub/zV3d1zzE3VQ0r9xNUIDrsun 4azfW7gZq4Kr7g64fNATRbFpijnuD1qXi/WKp6hXwrmPuBmyXZNhKOpl/bdU 5Ts/83yB+J7XPbBe8VHM/Wd/7Jf90w7aQ7toH+2kvbT7fmNZ9POOj6v0+4Tw /5PGHbgeaCy47JR8yIm8yI38yJE8yZV8yZm8yZ38qUPbeAv1oU7Ui7pRP+pI Pakr9aXO1Ju6U/97mTNOGC+MG8YP44jxxLhifDHOGG9P1bx7Oaf4Dn6trMbH hhb4dIspPtbfjw8sNuEbl4H4njmr7RB8YT0Qji93hfFoJRhMGQjNPkuhMdoO OjpxUFePx5ppJtg4uj+Mxorcf8zr0OynA93uBjDotlGxxvHzmjDgfvfcM7Gr NjZ224AN47sg1WAAfhA5d4lpPxzR6Imgpc9i78tKMOb6uxN7Ys2UQVg/ZibW bnDCMp09UN5wACtUzcRL1AxqJvCN3Y26pDCc9hJa5fuisH4RztZMRO3pmWgW tUFz3VA01xqhxFEPOxc+A1Nh//ZBStBZ/W+o7J0CI/PxULUYBa1dA7F4zyi8 Idp+c50J1hiaYq/LAUTGB6IwzUu+8zPP83te99YexX28n+2wPbbL9tkP+ytx 0JP9SzuEPbSL9tFO2ku7aT/9oD/0i/7RT/q7dr0T1o+eKTmQB7mQDzmRF7mR HzmSJ7mSLzmTN7mTP3WgHtRFY8wbUifqRd2oH3WkntSV+lJn6k3dqT/jgPHA uGB8yDgR8cK4aYuhp+W4O8/eHxev/fN9NtryTv5vouBMBNyrNXGwRB3h/rtw KMQMsXmbkFi1CQEV2iKfNxc5sja8yxbAs2wi3IonyHni7XueiHcfUb/szp6L gxUi/6pfAKfCDnsxtr44v3xf3kjoHRZ6p72Lgy160MrYCvWoQSKn/3u+zzWC VSNHwfjkXAQHOMAjZyU2JAyDJmuYB4xntO3bopEwFmruc+Fb8AbcyybAtXgQ fOtV4Z6RBD3j3fKdn3me+634FC2Gqud8ed+9+6jcO97D/mkH7aFdtI923m9N Y/pF/+gn/aXf9J8cvDqsmdzGkdzIjxzJk1w7cnaT65WNlzr4UI8KHVFnbkdA uTaSKjchJk9X6kcdg4Se1JX6tv189U/qjbZ4Ynwxzp74efc8WveQ/Ou3P/Dx O9mo7xqGphceb949xxdkfq50FJnzXRDl9BZidm1AurIxSvsdkuvaVvUW+WuP RJHbx6OlazzOiHy8pUsUqidlIHvNcWSJXPuUcjJyVsXgmFaonI+RbOqB9LUx yFqThoK5mWjoKvLm3tFyz5Ky4UEoH35Qzg+vYp6/yEB+19I1UbGfYocxgWbx qhb3HDeyR/G4ELQ8J2qx3lFyvbCCGS5If3OXYj1icR9t5T4qtT3iFfs4Dg+U z0fVPh+L8hEBqJi7AyXL1XDG6QX5zs88z+95Ha/nfbyf7cj2eijWQ2Y/7I/9 sn/aQXtoF+1rvmc+EP2gP/SL/lXJvShjpd/0nxz4Xf1zkcgXfMiJvCQ3zvcR HMmTXMmXnMmb3CX/rvFSD+pS1VvhO/WibtSPOlJP6kp9qfNj1Soibhg/jCPG 05O8NySP9nn2169h7/bjqHKtRqlbGcqdRb0ScAJ5vkdQn1CMq4Eu8vf9zrWK PW4Ee6EsohSnghJQF56GTPtybFxViiVvFMLfvAwNQcdQHR4MC0cTxLksBUJE PeKzHTe8jHHLdwtueW3GH156+D1UH1dCTXA1dju+zBb1g38qnG1FLRGzV5w3 x+0QffzhoY9rAbr4OUoVN0PW4ePcXdhjnIiP3Kzxh6diP/V78/urws6rvrtw MfFl3InRxfFtbyBy00LcSVDBr8GbcM3NDTf8nXA6WeRpHocVa3E9oF4pczuK 6jh3HBN5/1Y9P5R76MFr6Ur5zs88z+953YPqFbbPftgf+2X/tIP2ROkulPbR Ttp7Ve6n8vf6i37+4ekk/d5jHI8PCywEj/WSC/mQE3mRG/mRI3mSK/mSM3mT O/lTB+pBXagPdaJe1I36UUfqSV2pL3Wm3tSd+jMOOtYsjBPGC+OG8cM4Yjwx rhhfjDPGW8f4e+KP1n9sL39/WeSg2/GR/l6c226I7xwVtcoPNkPwta3IO17v is3jlLBp1Bio9jeFzvIo6GofhuZkB2h10YZ2/2XQmjoR64evgUHXrTDknpE9 NLGpu6bInzWh+S9NqD0nPj+vhS2DdWA1Qw+pKv0RuKEPdk0T9ckU0faYZ6Ex ri+0hs2B2tAl0HreCHpDZmCD6ot4R89GrsmlrLFDziFRVjfFq2u3wSPQBh8f PoLqo2HIy9+H+vrpaG6eivpmURdUjUFJ05soi0/AJyb7ELS8KwzH9sKWVROx yXI1trw8Apbju8Fg7jCoqsyFiu0MGB4wh1+QFfKPOSOzOAAlWd6oEH/mOz/z PL/ndbye9/F+tsP2dNmuaJ/9sD/2y/5px9nqMdKu5qap0k7aW5MWjo9Tj0g/ 6A/9kv5pWEh/6Tf9JwfykFwEH3IiL3IjP3IkT3IlX3Imb3Inf+pAPaQuXbdJ naiX1E3UN9SRelJX6kudqTd1p/6MA8YD44LxwThhvDBuOsbRk350nGdf/sUx /NOHENr+v/Cfix8h+Fw47Io3IirOEsF+exFwUgUeVS/Bs2oz0orjkZS7Db7V c+BePFbky5PvqVPa5qVMg3fpJOzKm4fQc5WIql0Ip6KJna7jXA3P0qnYmT0J at6vwPTwTByo34LtJw2gGjX4PntFjoNWzHhsSB4Bt0g9eEZth3r6aJH7s455 WK2iGNPQjBmMVYcNsadQHy4Vo5FUZoYD2YmwK9+EeZk58p2fk8V514pR2C2u 4/Wa0YMfPNbTXkeNk3bQHtpF+2gn7f37tROkf/ST/tJv+k8O5OF2b70iuJEf OZInubr9bRxmWqsOk6UuPkKfpFxjpBXFC+2M4F71stQx2G+P1NVe6BskdKbe HfV/3Gjji3H2NMy759G2ziz39OO8g7b90x9Wp3DuxmmlwygfFI6kLTqItVqB 7FetUP/MURSO90LWXDtU91HsTdLcticK8/iekajjGlcrsnByZQJOrkjCSZFX Z6+Kw+GNIch+5wjiNwcgyTgQNYvyRD3QupeifM5I5PsDxPm+4SLnT0DBJHdk zNuDqj7M+e/JqUVd0PxMHHKXu+GkipvIvRPQ2Eex7/1pka/nTPJGyjoDkV8n K/Z7ZE3A+RvjPZE32hcNz3E9Lz9k/Xsf8pV1UfDaNpSN90G97zD5zs88z+95 Ha/nffnyebS2vVSiZPuHRT/sj/3K8QrODRH20C7aRztlHdXBfvpDvzJe3CP9 pL/0m/5LDr0U82zIh5zIK94wQPKTHAVPcpV8BWfybnghQdQmd7WgLvK5NaET 9aJu1I86xlqvkLpSX+pMvR9Zt4i4Yfy07w35xK5frDja5tkfPlYt8tJTaPCq QolLOcpcy0V+WY780Bjk+9fiaqh3+xyWa6I2uOHqgOt+vihOykJJeDJK/bJg qVWB194swn6dKpT75qM69iDyoh1RHOaJWt9kWG8PROpOfSDQADfDDXE52BQX 03fjvaSD+CApDMWH81DkXYSclPfxnZ+tyN9X4oYPxwOMcMPbBBdDDXAl/i1c jlqDy8nLUZq3E+q6rsgLz8StcJE3OzvK/Ueuu7vK9amueduK/N0UlxMX4Ua4 On5wM4bNmiH4yUcfl5Leaa0H3OUckY9TIlAclPrAZ8LKxPmGwDQc8d4L3e1m +CjEBP/13ow9b62V7/y8SZw/4r1HXlf2gHbYPvthf+yX/V/13S3toV20j3be CNeQdtN+6UerX4r9VRylv/Sb/pPDlcQVgstqyYecyEtyE/zIkTzJlXzJmbzJ nfypA/WgLtSHOlEv6kb9qCP1pK7UlzpTb+pO/RkHN+Q4y925K4wXxg3jh3HE eGJcMb4YZ4y3p23evVzX+NZvaNoXgNPmmnJfwu+tWasMxnf2g+G9tAsMRyhB ffhiaL7sD02NbGgv9INGL5HnDnoZBlOHwFzkzZbjOCbyAtb2Ww0tJR1o9NCA QS8tmIzeCI+5+ohZshn56sb4QNcCzWY7cdF3OGLW9se6ESOwafQ8aAxaD93e OtjY3QCGz+lCt4cOtGYOwVpDfbytaoHlKuZYrrZdzntXVjfD66u3wtreFp/V FKHsqAsKKzaioWkc6k7PwtnaCShumI/cUj98aBeAL/UNEev9DlRNZkN97yBs 2bUIpmOfl37tnaWE8BVdUR38NmoLolF70gnJtfuRle2AiuP2KD7mKt/5mef5 Pa/j9byP97Mdtsd22T77YX/sl/3TDtpDu+paZkk7aS/tpv30g/7QL7m/i9oO 6S/9pv/kQB7kQj7kRF7kRn4xawdInuRKvuRM3uRO/tSBelAX6kOdqJf5VCWp n5bQkXpSV+pLnak3/aL+jIMf5JpkA2R8ME4YL4ybJ/qHr3uO9nn255Lx/T+Y Z694JkiRf7Zc+gzB1fuRmGKOSH8rHEo1gXutCgKrLVH8Xja+vfIF/sINVDV7 41DWq/CqnA3XointNYiHXOtLUYN4lk6Dr8irbYoXIvGbjxBZ+xKciye2P+/U lpO7ivzaIH0aDJN3YvOxcdhx+A1sS14CtdgR99krcjzUYkZCJ/kl+LnZwuDI AqjKfRkfXksoaoSJUBE1gtnJTdh41Bg7T+5BSJYfgivfgEPhVMyPy5Tv/Bws zvN7XmeepSvv4/2P7mOCtId20T7aSXv/tsc9/RD+0U/6S7/pPzmQR0c+5EVu 5EeO5Emu5EvO5O3RoWahHtSF+lCnP4Ve3175EkVCv6AaS7jVqiLsiLHUlzoH V+2TustouXPnsZ4Pa4srxhnjrWP8PclH277jn+sUo/45UWf0+XvN0tC6n+Hp Z1JQ3jMBSRqbEerzMlJXm6P6uWS0PJMs8uwoVPULx8l5NigdHIKqAUHyWaa2 mqPxuUiUz8vEqbWHcZL7q7TXK/FI0gtCpnIKMtbGINUsBBX9U9HSo/WZJM7p F/0Xj/MVtoWjrmsKmifvR/PEA/LPin0qO/zW3yMalQOikLV/r7AhUn5u86GF +6pM9ETSsh2o7a1YJ4x7kJSP80H+wgMoHHkQp2Y54PiifUh70xKnZjqi/PkE tPQPRqN/f/nOzzzP73kdr+d9vJ/tsD25Tphon/2wP/bbNieE9tAu2kc72+xr t1/4I30U/tFP6aPwm/6TA3mQC/mQE3mRG/mRI3m21yuCc47gXSG4k39brUNd qgYES52oF3WjftSRelJX6kudqTd1l/tZ3mdeC+OFcfO5TkmneHpijw7z7PdY HkaufSUq3BW5ZZlrGcpcalDkfxT5YVk4n3AYt5xtcdXLRe5HeMVP5B4njqA4 4ij8zPKw+LUy6K0rRbZzMeqiROxFOaIo2BtlHgko9MxAeajI1YOPwdrPB1H2 lvjweCryIkXu7F+CfN96FDjWocyxCqW2lahOLcIFH3cc3GSGSwFbcdNvq5xv cSVIX+Twb+C2iwV+yjVEYqg7tmvboiDRCeUxx3E9yhZXPG2EbQdEDm2J3/y3 4UrSq7gSogIc3IeIjXOQbfIW/ojegksRyrjiYyfyaxeZX18U+X9xePp965VS rwQ0B6YiwcEfqjYb0JKqCviZ4iePLbBeska+8zPP83tex+t5333rFdEP+1PU fy7SDtpDu2gf7aS9tJv20w/6Q7+ueFpLP+kv/ab/SYdc8OMpY8Flh+DzpuRE XuRGfuRInuRKvuRcIOcD1Uv+1IF6UBfqQ52oF3WjftSRelJX6kudqTd1p/6M A8YD44LxwThhvDBuGD+MIxlPIq4YX4wzxtvTNe/+TvvcgzOHvfDtnh743o71 iqg/HYciYIUSNIb3xIYXTaGyMg+qb0WJPFYTukMmY8vkXjCZoATj4SLnFXmt 0bhnsFvULebv9IfrYi2kKJuhSlvUJ4Y78MW2nfjG6AA+NRZ/h4zNUWKrgvcd VyPwNWOodNWBfndDGHTTFu9a0BN5tV7PjdDsuQqbVk3A4l1qWL52O5RVzdr3 n1+uZoY3Vxthp70T6k55oDDDCcU1K9DUMhHNDVNQ2jIbp0p2o/FILM5tOYDS 4GRRH5hAc383KBv2wKqdr8J52QBk6/fEp9aDcMl5IL49MAqFoh4++qERMgst UZ3uhLJMB5SIeoXv/JxZZImjHxiJ6w7J63kf72c7bI/tsn32w/5Kg5Jl/7SD 9tAu2kc7aS/tpv30g/7QL7kOmfCT/tJv+k8O5EEu5ENOCl6Gkh85kie5ki85 kze5kz91oB7UhfpQJ+pF3agfdTQSeuoOnSz1pc7Um7pTf8YB44FxwfhgnDBe FCH0f1vr9/9vx60/ruNok99jz7Nvf/5LvPI/iYPbMSf4h3giIMYKAaWmCG3c h4ovynDz9u93b2rFVd0UiPDs1+Wav+6cRyHyZ5fiqXAqnALbgimwyp+CA/nj YZG/AGHffA3PspfgUDBR5OPT4FE2FV5lHH+ZBvviydCMmoxN/suxu3A29gQv gFoQn926/x6R6imjsdd3Ow4c2gjVJNY0j65VZL0g1xAeDe3oldjrqA//4/vg WTIf7qVj4VC0EC8mZMh3fuZ5fr/PYRN0xPW8T0POXXnwM2F3a5EJ0i7aRztp 7333jhT+0U/6S7/pPzmQB7mQDzmRF7mRX7jgSJ7kSr7kTN7kTv7UgXpQF+rT US8e1JF6hjTsg3+JiUJnober0J36t1Ucj1t7MM4Yb4y7p+GQ6wSK180Pryhy 4efvmXvfJwJnusSjvouoLV6xRqL1cqQY6qBsUBhalFJknit/f2cu+1yCXAe4 aBT3jwwV+XiwnCfeJHLrukHJKOC+7NwDckVye71y8t14JBgEIUs5AVnr0pC2 /iAaexwSuXHbfBpRV/SOQM2QADT0jEVNn1hkzduFooluij3pO+bQreMXuZoe yF/mg6Z/cfyibdxC1FO94pAtao3iCR4omOoun+cqGBqGU4tNkDPLCSfn2iFz tgOyF9igYKS/XOtY7qk4OBCNfgPkOz/zPL/ndbye9/F+tsP2ZLui/RLRD2sb 9tvctoaYsId20T7a2Tb+07E2lGsqC//oJ/2Vfgv/yYE8FNfFSk7kRW7kR47k 2VavkDN5kzv5UwfqQV2oD3WiXo2t83jk+BnrFqEr9aXO1Ju6U3/GAeOh0xz7 5xU11M0Pr8o4etLXnew4z97BPAsNnpXtYyt8lbtUoMy9GFkhyXgvIh23/UU9 4OCBa8HWaCoLQ4RLFtYtqcDqJaWI3VeAutDDyDuYhOOhJ1AcJv4cloOGjHic C43F+eOBIicXuWygB0J3uGLv1lw0uIo81ln041wq17Mqdy9FkUMVPk5LwyV/ ewRp7sZ/RP1xI3ArbvhuwU0fU1yJ2IBrMW/gfL4pHGzi4KQj/s7F+ONUlB2q 4lJwM9YEN7034zc/Ud8kvYIrh1Txp7+lyEHWw2XNWNzy34mrEatEvaCJax5u rWvvOuFaoAsaUxOE3ymK/eXbahXPJJw+eBgR+yKwfvtuNB3XFX28K2wxxy+e m2H1zhr5zs83Y1fK73ld5N4IeR/vv/ssWJJsn/2wv+utz9fRDtpDu2gf7aS9 tJv20w/6Q7/oH/2kv/TbSTsOdg4R+LjIBNei35R8yIm8yI38yJE8yZV8yVny FtzJnzpQD+pCfagT9aJu1I86Uk/qSn2pM/Wm7tSfccB4YFwwPhgnjBfGDeNH xpFrhzEWEWeMt6dn3v3ddVbP/xSJ93NfwzdWw/Cd7RD8x2EAQtYqYcPUOVi5 5AjWLUuE2iQ16AweDv3RStg8Xglm4mU551l4LOmGFJXnkW/yAj7aOwg/2PbH 5x7j8fEuQ3xuuA8fGe1Es7kRzu1Vxlm7efjOsS/q9i8RubQd4l4yg/ozmjDo JWoUzhOXc8U1oddVH5ojFkHDYDre2GgGZRWRu6vv6rCX4zYsV92DTXvjUJph j6IsR9S0zEFj8xRUnpmO3GJzVJ3wxhmvCJyNjkV9XiCKGjWwJ24wHCOG4Gjq i/jOfiQuOg7EBduh+MF6qFwvuDhsGUorPFGV5iBrlPIMRb3Cd37meX7P6xTr LQ+V97Mdtsd22T77YX/sl/3TDtpDu2gf7aS9tJv20w/6Q7/a9qSkv/T7DV0z yUFzxL8lF8mnlRW5kR85kie5ki85kze5kz91kHoIXagPdaJe1I36UUfqSV2p L3VWm6Qqdaf+jAPGA+OC8cE4Ybwwbn6/J56e1OPv8+wfPbZyp3Wc9dc/v0Bo fgTMrXfC18sKIYVOSP4kCl/+8hn++LMDob/+bJ9r3fYbfEFtAKwTFsEkayq0 U8dBO2k8tPhcFp+NiuMYwiiRl8+BdcPX0EmcC824UdBOmYAtaROw48QkOIlc 3DRzJAxTNkAtXBlb08dBP2Mf3o2cDO24sX+rAzbEDYNZzDLssdsHnSOzRB0w 6jFqCNYzI0QNMR1b4kT9HLEXvpH7sCNjDnaeHA+fsimiTpmH2fEZ8p2feZ7f +0buF9fvk/fxfrbzqOfCaA/ton177PZKe2n3vXUV/aOf9Jd+039yIA9yIR9y Ii9yIz8rwZE8yZV8yZm8yZ38qQP1oC5S49Z6/I6cM3t3L3rqSn1TPokUejvC R+i+3dpSxgHjoWN8PDB+WuPraZp3z0POY7nxBy6f/Bp1/wpT5KG9uY+kyNeV UnFqii8ibJYg3HYJsqd7i3Np953fIOes949A9os2qOuegEqR31cNDEFD1xiU z+e8lcNyX3ZZq8h6JQlZ7yYibnMQMlfFomhJDgpn+CB/vI9c75fjCGyzbEgo aof6y1qhnn0uMkBln+hO+1zK5726xKJwejDydzijWuT8neaHcKynXyiOLrJB xQvRKJ1ji9x+saicY4riF/cgc64jTs1xQOFUV5QOPSjycFEnsW7j3JNBBxX1 Ct85117m6THyOl7P+3g/26mcbSrbLZ1tJ/thf+yX/XeaXyPso520l3Z3nN9O v+gf/aS/skYS/pMDeUhfxTlyIq+it3MkP3IkT3K9yzhRcid/6kA9qAv1oU7U q7lH5zG1tvlJ1Jl6U/dwoT/jgPHQ1FMRH4wTxsvlk9/I+Hnix1Y6zbM/jqTd hagReWSp6916hb+Jl3Pevc8x5B0/gkseB4HobSjLdYaWaiXeWlAGR/N8lCSm oSw2AScSC/B+wnGcCcrGD0eDcSnAA1eDXHHbk+t2OeI3V8UaV/ByQNR2B1ht z0S9R9Xd+kjk0IVO1fgiOBnXve0QtHEn/uMs6gk/W1wP4NxwI9z0MsHFMCN8 ULQbu7fsQ4hNEBq8s1ASHIhTwcGojUrDrWhzXI1/GVfD1XDDyxy/h5jCQ3Uc 6g+swp/BFnIvxN8CN8uxjbY1zm672uODhCgUBqbKPeUV4ypJwpdkBG+PxQqL A/g4cS9uRq3FT6Jeue1rpqhXlirqFX7m+ZtR6+R1vJ738X62I9cxFu2yffbD /u6ureUi7aFdtI920l7aTfvpB/25Kfyif/SzJDhA+h1iHSQ47MGHRTtxKUzB h5zIi9zIjxzJk1zJl5zbmJM/daAe1EWuQ+bqJPWibtSPOlJP6kp9qTP1pu7U n3HAeGBcMD4YJ4wXxg3jp21sRT5jKF6MM8Yb4+7Jn3f/l/xd/A/xp7pvd6G8 ojfON63AD07jcM26OyI1+2PRoh14ZWkUls9Qg9ao52E+SQkHXlFCyPJuOKLd B1UWffEF93l0GIJLjkNw0X4Q/mP3Ar516IdvbQeg0uU1VO9Xw3nR5td2Q0Ue 3Rs/yn3Zn8fHZivwtYkVYl83g9qzrXPxW3Nwrm+l3VMbm6ZMhYbNQrylsQXL VbZjucZukcu3jrGoGWGtaihU9IKRm2KDwnJj1J6djJr3pqKgaDvKjjqh5WQy vs7IRKnQN1zkSxpWO2EdORLnP52Fi0dEvbK7r8i9h+MCaw67YajZtxHvmevh I79YlOWIGuWYnahTHFvrFUf5uSzXVX7P62r2b8QF+2HyfrbD9tgu22c/7I/9 sn/aQXtoF+2jnbSXdtN++kF/6JdiDMlM+ku/39LcIjmQB7no9+hQrwhu5EeO 5Emu5EvO5E3u5E8dqAd1oT7UiXpRN+pHHakndaW+1Jl6U3fqzzhgPDAuGB+M E8YL44bxwzhSjLM8ublW29yDtBp//PqIefZ/dRhb/eg/3yB+x2q4rloI1yRP lH6Zh6+vfXDP9fcbg1LULMyAY0/6wMD/JZEzT4ZadMcxCD67NQoGSXNhU/cl VOLmQEN8Vo8ZL/dSVOFaXgnjYXJyDHTDF8M0dRn0MiZjS743NOOntY5ndBgf EW2rH54EswM7YBC+CmoJwx5RO7B/UQfEDcdWkcNrReljfZo5LHKMYVHgio1x k7EpdQK8yibBoXAepsdlyHd+5nl+v6PQVV7P+3g/22F7bPfhddIEaR/tpL20 WyP6nvEZ4R/9pL/0m/6TA3mQC/mQE3mRG/mRI3mSayfOom3ypw7U40/crVXu 1e3emuIroXfJV/lwS/aUcRAn4oFxcb94uScC5DvjjXHXMQ6fluO8Wj4auhxC S7cE1Iic+Yj6DsTYL0W2yLvru6a0/8Z+3/WjWtfGyp3ujJJR/uLPIscRuXH5 0AgUrshC1op4kUMnt+fS2eJ14t0kxBkEIlslBfUvnkBZ/yCUTXWW+bR81kvk +fWDA+QaWzJHHxGI/Dm7UNsnRs6taK8BOGde2Ja3zx7FC4PQ/GznuSF8BupM f5EzzHRAjdIxZMzwxKnlm5C90BIZ8+xQOMELFaLt2mH+aOiwxvH96pW2uf28 jtfzPt7Pdtge22X77If9sd+GDvWKnGMj7KOdtJfrFDd3XC9A+EX/8ufslv7S b/pPDrLu4jNjgg85kVf93BOCX7LkSJ7ZKzrUK3KMJV7ypw7Ug7pQn9x71ki7 d/239rE1oftJoT/jgPHAuGB8ME7OqxX8fx2y/68dd/ezv4Y924+hyrVK5JJl HWqVtvyyDEWO1aiIT8GlbGN4eAdhwfoqmG4R9XZeND7P8EbL4WhcjPHHZW9f 3DzogNtu1nKtWz7vxNyXeXn7usKt9QFz40hzJ1iZn2ivWSpcSpDn3ogWnxO4 JdoI1t6FH7l+r6cbrvLZrcCtuOljiCtRe5F7OBTbdK2QFuCC0lg3FB6MRHGU A/K8j6A82xa/parhN3dj/BVqjrKdK+GvMQV/hViIHF4Pl2KUcTlwB655te4p w/k4Lo74Oc5H1AFHUCHqijJRY5wW+b3ftmgs3+aDDzJ2AJ4m+DFKFRdjV963 XuF5fs/reD3v4/1sh+2xXbbPftjf9db5HrSD9tAu2kc7aS/tpv30g/6UZ9sh V/hXHOUo/S0TftP/bboHUBgfjiuR+3CT66sJTuRFbuRHjuRJruRbLji31yqC P3WgHlKnVh5yHWXWUbLGdJR6UlfqS52pN3Wn/oX50TIeGBeMj0vZJjJeGDcP iinGG+OO8dcxHp+s4y/5LBt/6W35TuT5VYNwpnYamurn4POQF+Fo8TLmqOyH 6tuasFr8POJXKiHL6Hmc3dUfX9kOFtqwPhkqct5B+MmG64f1xpd2A/CZwwi8 b7MI7+97F6fNTPHxZguc3q2JT12G4SerfviOeb14fe/QB+f3LMa32/Yj5u3t UOui1ale0euhA+0e6tB6czgWGy/DW6o7Rd5uIscb+LzUUpVtWKW+DxvejsIK DQvExjuitH4Daj4ci9JCS9Qed0V9jiOqczJg72cFla2mcp3gV9duxRqXEaht motv01fi+90DcMF2BC44DULjdmGv9QJ8vXMZzlr4ofFUKEqP23SqV/iZ5/k9 r/vIZgEad5jK+y/YjZDtsV22z37YH/tl/7SD9tAu2kc7aW+ZsJv20w/6Q7/o H/2U/gq/6T85kAe56PXQ7lyvCH7kSJ7kSr5trMmd/KmD1EPoQn2oE/WibtSP OlJP6kp9qTP1pu7Un3HAeGBcMD4YJ4wXxg3jh3H0J9rWCXvyapa2sY5vL72P wvNpeNA8e/59/+tPxW/st0WVVnQiHMG6q3CYz9VeqBAMbnW69tH/f7j7PGZS jg+2BL4EneTJcs1fxbwT5tyjsO3wHOyu/ACromdDO67zeIha3Fj4VM6BX6EB zDMmwvjkDGin71XsFdmxXhE5u1bSCOgdVIGZzQ5opzJHv//eLHdrldEwSBBt xK/DmpjNMD2qAdMCXZimz4ZhvqfoewbUY8fAtmAinIrnY2LscfnOzzyvKr43 yPMQ189R3CfuZztsj+2y/YfVLLSPdtJe2k37NTrMvad/9JP+0m/6Tw7kodZp bGm85LYqWsGRPFVax5XImbzJnfypg0KaRz/neK/G1J9xcNjPTMZFsYiP24pq XsbN/eNBEWuMO8Zfx3h8ko87rXOM6X7dkCM4Mc8FiXpmyFxyAFW9YuUe6Q+a w/C3MZZ+ETg53xp1z8ejqWskihYmIV0zAVnLkjvl0vxzpsink/QOInNdMoom ZqKpezgyFzoo9jgR9QDXDC4f6YdmzuHvkozq6VYomWaLxq5Jd/Ns7mUi8v/S 10KRY+Ei8/+m3vfPwbPnOqB8jjUKFm5DutFSnJzsjaq+ov7qG466MZ53a5XH qFfaahZ5n7if7bA9tsv22Q/7u19tR/toJ+2l3Q0d6yu2L/wrmWYn/aXf9J8c FGstK8a2yIm8yI38JMcVf2dM7uRPHagHdaE+Vf3+PrbyoLlL1J9xwHhgXDA+ GCfyr4uIm0eNTT4JR9s8+9SO8+w75ZTlKHYuR41HORq8qxFgcxD6vlthuSMQ NZm2uJ1ugYvBTqJ+cMJtR1GbuCr2ZFTseeJ6371a7u7Zcv+apcJZ1Cu+DTiT lIHbrjY4JPLsCw6OuOXlLOeaX/G1x21vfXx21BNJcc4wUfNFuc8RlB4MQ+Eh PxTH7kNFwmbkhQSiKuo4bkdtx3XvzbBbPQ6fu+jiD39z/BqhjquR7+Kqn6Wo E5w6r2kV4IbqI6JWcUlCS2gyvAzCsEY/COcL9HAnUB/XvUzxS6QGLscqt9cr BzrUKzzP73kdrz+fryfvZztsj+2yffbTaa01YQftoV20j3Z+7rJR2k37/x/2 vgMwqyL7nl0VEAsWpKP0qi72dXVttISe3hshDUIqIZCQ3nvvvVcISSjpvUJo dlGxIq4V6SVw/nPmS0JQZEXXXfz/fLufj++9mTvnnnsC9+a9maEf9GdPbJT0 ry7NWfrbEBUv/C+ClWYw8lMC8H5hMC6EGEqeyBd5I3/xOvaST/JKfsnzz9Yq P/dh/SLiKveC8feU8WbcGf9vYzylHqgLe5sIqRPqhbqhfqijwc/tqLP+efcF f9h594paRWRdePMTM3S2PYQDHXPR3ToV7xx+CrVdFnByVRZ/543DUQfOsx6F r7zH4RvuVbh1DL5wHYUvRA78qTt/dz8a73pPwRvOL+OgkzreMLfBm2YOeM/I Ce9xbWTugW60ET0OxnjbZ6L8nf/nfO/K6z7s37oEn5s5I3WJNdSHDqpXuPbx MBNoPfAcLPQewxIHVSxe2bcmmKo1lvD5is46rF4QDLWX/PGq7gYEpWxC50d/ R1ujA6qKfZGQvhXuvqlQ0rPCiyvNsWA11wi2xAINR7xo/iK2Vc/A0cin8eWm B/Gx7ygctLHAu5texteet+GAkzIOm25FZ04imsu3omlbX70izvzO67zPdmz/ 7qZXZH/aoT3apX2Ow/HkuGJ84iAe4iI+4iTeDoE7UOCnH/RHRfhF/5bINY2t pd/0nzyQD/JCfshTf71C/sgj+SSv5Jc8k2/y3iP3p98o4yHjIuLDODFeMm4i fowj48m4Mr6MM+PNuDP+1AH1QF1QH7VdllIv1A31Qx1RT1f69PVHq1n688i3 vn0Dx0//zLOVQe9/vvvee4gIcEJFaiKOf3Ns0DtxbNZ7U/nmlUHvhmXvHFSz pD6ieH9L5NXWBY+LfL8Vi5Ieg17Gw315Nvd4nwKzkmnwqZ2LjTvMYFQ0B0Y5 U2Hu/zT08hQ2Bj+nMc77G8wdtsA441Wop4+/wbwV5vcToJk5F6rpa7EuUw1m Zcuxqc4UawpnwCh7Btak6mNlgsj10yfDatsUeNU/hUkppfLM77y+ImEKTFL1 YMj2oh/70w7t0a5m1jw5zs/VLHIei8BpIvCaObpI/IOfi9A/+mnh/4z0m/6T B/JBXtQH9pKZCn3B26KkR7GuqlXySV5pX9roq1XIv0IPl29qrS62Z9z7D+qB uihPSURYwCa8I/RyPR31x58HdUf9Kez9EX8PdvXof2+O/33/zVbkmzqj5OUt cv+P/X/JVjzH+IVr2yr2EuE8Fh/UTRN5/G3ZqPr7NhTrJKFYJQUVS/JFDp19 bb1iGIOG5fnoHpmObtG3aaYPaidFKeau35OExklhcu3ddpFn73p0K5pHx2Af 1/btm0NBfE33p2O3uyfqJqdi/9C0a2sE2SYFbcPy0DgxEG2iltjzQCp2z/VF /egE9Igx2qb5K9ZHk59fWK/cnTrQh/1ph/Zod8+DqXIcOZ4Yl+MPnhck58wL nMS7x91L4pc8y3fNUqV/9JP+0m9eIw/kg7yQH/JEvsgb+csVPA6uVyTPgm/y Tv4ZB8aDcWF8fu7ZynU/fWvDUQ/UBfVBnVAvvT/S0R/y6J9nf+kcNtoVYLdH 86B59iK/9GlCs18TDoQ2omBTK5aqZ2GZmjMiY0Px5W43wHcTvvcKwBlf7rVx dU/Gn811f2nN4itqpohmfFwSj/O+HkjTsMfnWz1wLpi1jxdO+oo8n+uulkTD P3gLXPVEbR+Vhyb/QtSJvL0m1RUNqU6oSwxGeUIAeirikbvlH8g3mg9ErhMY LXEyfjm+izXEqQhrgXtQzSCwnA9yx+sZaWiPL4K/bjT0tNPxQY0leiPX4GSI pZzD/k2CHk6kKV+3XuF13mc7tmc/9qcd2qNd2uc4g/dZlDgEHuIiPuIkXuIm fvpBf+hXQ4qT9JP+NvkXSP+36gUjMMAN7xTH4XSUi+SJfJE38pembif5JK/k lzzfVK1y3fql7xmMv7fUAfVAXVAf1An1skzohvqhjqinukFzo+S8e6E76o86 HKzLW//ofw/7Mt79aC06W0fhQPsc9HTNwaHXn8Vh8Xnj0D/wdcaT+Hrz/Tju MRHHXEbjsy0PivNIfOIxEh+7j8Ebno/iLafFOGBvhLfMbfGmqROOGDuKXFjk w6Ybru6BLvdB3yByZUfsdzDC274T8S/uPegxBm1Oejhm7oi0pdbQGCby7oF3 wbShd5cJ9MZMg73qI3jRagOWrLaS64Lx3ahFamZYruMOjZneUFH3xIsrzOEY 44iCWids8dkK7fVWUNfOwlKNUCxUXQtlDa4pxvfHLKGs6oh/mL6EyKwXhdam 4IjXgzjkYIL3N7+ALzzuwvEtonbxnYfXjSzxblQSWvaEoLF0KxpK/eSZ33md 9w/6zpXt2Y/9aeeI1wPSLu1zHI7HcTk+cRAPcREfcRIvcRM//aA/msIv+kc/ 5TtwGgr/yQP5IC/kp/+dMPJG/sgj+SSv5Jc8k2/yTv4Zh6sxsZZxYrwYN8aP cZTxFHFlfBlnxptxV8R/tNQDdUF9UCfUC3VD/VBH1BN1dQX9v5f+Y9Qs/fni 2QsnkNwVgfO9F6+5P/jfzM+//RyFmUkojE/Av44dH9To5975+uUYrluzpE0W efUj2FD4GEyLirAgbi70M6/WK2qpU7G+YjI2VSyGRsSL0MgYC8vcV6EW8hy0 siYNPIvQ5vtj+ROw1tcQxt6iTsifCK3rzV/nswY+12Atk/kqrFLNoFa0BFuK X0FArTFMt82ESuIk6OROg7HnHJgkPy6fY+hlP4LN1U9ibGKpPPO7RsYjMBX3 jb3miPZTZT/2px3aUytSgkWauRyH42n2v7P2Y0xcH0DgJW7ipx/a/c9YeBZ+ 0l/6Tf/JA/kgL+RnoF4RvJE/8kg+ySv5/a21yo8jKXUwSPrUSWFCIgqzkqR+ BiTzo1yMuqP+qMN+TfzhjkF1+kdvf4CqdDfU5jviww8P4r3X6tE9JAF77/sF ueyPnx2IvLb9nlRUPOGMjtGZaFqxG9uVslGkIWoWVdYseTKXlu+DKecjTycW +1TKcPB+URuJHL764Ug0zBL59B3ZaH0gQe6XyL3nO+5PwA7u53hXulyDS+b9 96ZgH+fYG/ijxjgQe4dkXzN/Xa6JNSJN5vx7Ht+Mjkft0TgiBweGZqLlwQRU PrcJzRPD0TNc1GN3cB2zJLkXpKIWuUG9Iu2myPbsx/60Q3u0S/sch+NxXI4v 59tcs5ZBisRbK3ATP/3o7sNO/+gn/aXf9J88kA/yQn7IE/kib+SPPJLPyv5a RSlP8k3eyT/jwHgwLozPvhE3H1vqgbqgPqiTmjxH7BG6oX6up6s/yjEwz/7t o/BYz3n2imcrnAvd4NOMntBm1Hg3wFyjFv98sRbuFtVoC21CW3AtitMr8H5K ES4GbMEPAb43l+PesGbxxGarHdgX2YITOSE4F+CJ3FW2+MzFHedCFPk0f6// XVgwWrObYLPVBkGOMQJrCWqiY1CV5Ie6qERUZPuIXD4PXRFpyAiJx7J1K7E/ zxVfFnnhRNx6fFO8CL2hOjgbbC7ybU+c8lW8q/aDyL/Penniq7IIbDGMh7VW Mj5tN8D5RHWcDFqHM+FmOCtqkO/ijHAqeSnO99crixX1Cr/zOu+zHduzH/vT Du3RLu1znB/68n3F+J4SD3ERH3ESL3Evt1oh/IiT/tQLv6R/wk/6WxMt/i4J LUXwxijYutihNasF34UHK55zCb7I22cuHshdbSv5JK/k19lyB5IE37+6VvnJ fjC+Ug/UBfVBnVAv1A31Qx1RT9QV9UWdyWcsQnfUH3U4WJe39nG1Vjny/lp0 NYtapXMeeg78DQfeeBYHev6Gfe2z0NM+A28c+AeOpD2Lj+3vEDnrgzjqyfe8 nlW852VtibfM7PC2sTOOmNj11SjW1+bDP/4Mqlne9R0v8t9x6Da3x2cWtsha Zg3Na+oVXejeowvTybfDZNVDWGiwAYtVud+KHRZxTWM9G6i+4AuNeZ5Q0ncS 9yyxzMoZSrr2eEnVFMpLArBSKR5K2pZ98/L7PqJmWKpqh2cF1g02j+EN9/E4 4LgG7219HsdEzcF3p465PIgP/CfjA3Mr7HMORtOOADRtd5P1Cs9NOwLl9Q/M 1+FD0Y7tZT/Rn3Zoj3Zpn+NwPI47GAdxSXwCJ/ESN/EvVrGU/tAv+kc/6S/9 pv/kgXyQF/Jj3PdOGHkjf+SRfEpeBb/k+bq1ynViw/jJ2sVEEVfGl3FWvDf2 rIw/dUA9UBfUB3VCvVA31I/UkdATdUV9/ZFqFvk8RPyv84MKbD+QI7H39q9P fFmB/8qF89i2PQXxwUIPLTuvrgH1s+/43PxxvZpFP3cWVJInYl3RY1gT64/F UTOhnzVZ5NmKuSuGBdOhkzcO2qkrYFGsDdXke2BdvgarikxEnt+/38k0UQtM gG7GC7C02wKjnPmi//Xm2CuewehlToVFlhqMytfDq/FpuGYthE2qGjZVz4Z9 5TSYFM0U7cZAOV0DG7ZrQz11LLRFbaJX8BhGhhRDL/8xUSNMltdtynSwNENT tmc/9qcd2qNdb2Gf43A8jqtxA1zEbWm7RfqhOTBnf5r0k/7Sb/pPHnQEH+SF /KjJ+StTJG/kjzyST/KqL2uV5wTfoYoY/KZa5UfxHPTuIC1SN3FCP9QR9SSP ywqdSb0JVVF/1KH8m/rKH+d3y1K3fT8HJ86cQU9TMkr8LfDZ4caBNifbPkcn 95C855ftIfnTeSyZqJ8Ugj3zfdCwYAfKl2aiXOTPP65Zdijlo1gjDj0q23Do vmx036n4XX75U25yXay2sRFoHBct9zapnuOF1lmuA++Cdd+dhv1DU9DwcCZ2 itygaXQ6eu4c9BzjbkVO3jEiC83Prkfn/PVoHZ6r2FNE3G96IB47/umA5lGx aB5ThPon89HxeCm6RnKfyyTF2mLXq1eY64v7bMf27Mf+tEN7tNvdNw+F43Fc jk8c+/qeoQw89xF4mwXuXYFbpB/0p/vutIF3wugv/ab/5IF8kJfyp9wlT+SL vJE/8kg+Fc9VrtYq5J38Mw6MB+PC+PziZyvXvMeWJnVxsu3YgFaoG+qHOqKe +kT2B3pP8uo8e1+/bch2rEFbQAtqRQ7ZFdSEjsBGeBjX4oWXamClVYc6n0b0 BDPPFLWMVztqwvNQllKHD5PzccFf1Cz+/7maJWm9F1zXb8PF0ECcD/NG0VI7 fLq5r14Ruf1Zb3d8nJmExugOmKzbjFKXdLQmxKImwwVNQQVoDM4X+bw7GkNT cCC8FOpGbnDdEIrGvFDsSYpDTWoh9u5xxhsZMfiuwF7UFs44F8655W446+eF SyFeyNXeCGenJHyyVwvn05fhVJCVnAvfvxf8d7Hiz0lKuCD+zDpl0+LViucr 4juv8z7bsb2c0y/60w7t0S7tcxyOx3E5PnEQD3ERH3ESL3G7CPz0g/7QL+mf 8JP+1gq/W4T/21zTYGy5RfDSKfkhT+SLvJE/8kg+ySv5Jc//sVqFe9kLHVAP 1AX1QZ1QL9QN9UMdUU/UFfVFnVFv1B315/sHmXd/5Ur/v5miVnnPVOaU+3ue QM/hJ7H/wBPyfZ59bVNxoG0KOltGobPjYRx6dzmON/jhoJMq3jC3FR8HvGu0 CUf4PhFrlLX/pka5bs2yEQccDPC29wy8Z2KNjy3sULB8HbSGa8s59lz3ivuw q41XhvWkIVBaOh8vG4icXZXPKOzlnI4VOt7QGbMRKso+WKwp6hhDByzWtpXP LpQ0fLH8yUis0Noscn0Lxdx8dcW7VUvUFWttLdf1xOpXXkSZsR7e9XoRn3nc rVijl3uLuD6Az92m4p21DvjQYhPe3JWF+u0uaCwNkOc3d2XL67x/TLST7eWe JGOkHdqjXdrnOHJNMzHukj4cxENcxEecxEvcxK9k4CD9oV/0j37KOSzCb/ov eRB8kBfyQ57IF3kjf+SRfJJX8kueyffNxohxlbWLiDPjzbgz/tQB9UBdUB/U CfUidSP0Qx1JPQldyZpF6OxKX1Z/5RbPu/rrjZyOOHx9+ltF/tiXZ9KDxuZK pIX4oX1XNXDx2jzzP47lOjWLTtY0GBfPhbOzKlSCJ0GDaxRnToFtxQxs3DND 5twmUQugmzQXWmmjoFm6Fpbla6Ge8pDcy4TzzfULHoG5ux2MI/Sgk3vtHBD5 TCWN73+Nh2HG41ArXI+IOg1Rq8yBbfpKbIhfCofdMxBQPxPBcn3guXCqHA+r KnPobTODZspo6GRMxqqUeRjuWyTP/K7F69vMYSnasT37yf7CDu3RLu1zHI7H cTk+ccj58dfMq58qcRM//aA/9EuxZ+RD0l/6Tf/JA/kgL+SHPJEv8kb+yCP5 JK//uecqN4jpoLqX+qGOqCfqqj/76u2re6k/6nCg3y1/XPs7ieNvN6Ii1gp7 m1Jw8lzfzwrrtkuKn6d3lXah87b4X7zv/U9qltszkfOKH7IM4rBzkcijl2aj XDn3as3CPFrk12UqiahbloP2kXwGkYzOOzmX3BMNDyWga1Qk9t2dhNZ7MtAy 3wrVExR73Mu1w0S+3nZ7LqrsfVG9LBp7/5o5sH7xQK0ibLU/sw5dT69D2505 soboEvVA47gItN4fj4bxUdj1aAB2LtyD8tXZ2K1SgN2Ly1E7rhAHhiWKeiDz mnqF33md99mO7dmP/WmH9miX9jkOx+O4HJ84iOeamoV4BW7ipx/0h35J/4Sf 1ROj0PI3K+k/eSAf5KVxtpfkiXyRN/JHHsnn4Ocq5Ju8k3/GgfFgXH5VrSJ0 QD1QFzykTvp0T/1QR9QTdXX1uPXXz792nn0JGn1a0RogcsuQJiTY1WPhglqo K9egZEs99oc2ocn36ns8/HODfxOqolNREX0IR1NycNHf5T9Ts4j8GgGeSHPz RLaDGxDpjW1K9vho41acF3n3D36+4rwVb6WUosyjEyobQlCeEInaFD80heSi JSgXjSE5KM/ywL7ILMRtjcarhnboDMtHS6Co/6NjUJ3sjrqIUOyO3I7a2Bw0 5KfjUE4s3snLwveZIUjUcMR2CxccPW6KE8m6+MFL5P1hG3Eiwhnfh7niRIgH vg53xclYfVGPbMTXQWsU9Yo48zuv8z7byfaiH/vTDu0dPb5W2uc4HI/jcnzi IB7iIr7qZA+Jl7iJ/xUDe+kP/aJ/9JP+0m/6X5EQDrV1EdjuvhdvpZZInhR8 +Uj+yCP5JK/klzwr5tP/9lqF8acOqIeq6BSpj6ZB7xXyz9QR9URdUV/UGfVG 3VF/1OGtPu++P2e80HsaH7xjhq62sSKvfA77Dz6B/Z0zsa95LDpax+DAvsfR +sZCfPh5ML4804ULl0/h/IVeHPaLx1t6VnjfzOba97x+xecdkQ9/YOyANntL dNmuxedrHVGyygI6fWuCGY/Qgv6wNdCf+CRspom8/NWXsUDLSeT7Flikag1l AydoPusJ3XF2WKbvjkWsV4wdsVjVHOoGnjCY6QNVZV8s0rYatE/LBlEX2Mua YaG6PVbo2mHxmAWI1Po7vvG7F59tZq3ykKw7jon64xO3ydhrZYt3zFxQLfTd VOaC+pIAcXZFjfjO67zPdsf66xXRn3Zoj3Zpn+NwPDkPRdZaGwb2VSE+4iRe 4iZ+JSNH6Q/9on/0U9lgk/Sb/pMH9VdekryQH/JEvsgb+SOP5JO8tjlYSJ7f uZla5br1i7WMO+NPHVAP1AX1QZ1QL9QN9UMdUU/UFfVFnVFv1N1gHd5qRz+u D77ej3BRj126dPVdsGOffIGc2AQU5Cbis+8/62vP1PP39eXamiUUpmFPQX/H 49hqMAvGYZNhXsm1uGYhtHkONpRNg0rKDFiUOCrWA0sfi+Uxi2BduAwaaZyf Mh3qXGMrQQmm9g7QLZwj6ovBc9z75ppnTcCqLCXY5lrCt2kh1lWKa8naWBu/ GDa7piGgQbGfpV/f3ov+9ZORvFcLOgWroJ42Djrpk6GaNg93+hXJM79zfJ38 FUjp1pLtA/r60w7t0S7tcxyOx3E5PnEQj2bateukETfx0w/6Q7/oH8ehv/Sb /pMH8kFeyA95Il/kzTh0suSRfJLX3+O5ys8d1E3/CNQTdUV9UWf9B/VHHVKP Ci3coj83V66do/LekU7UZDmgJV/8DJ37ZlDDvt9ZcF1a8f+TrV+g644EkVPf fL3CfPvg8BRUTspD9AZ/bFfOQ+USxdpg/TVLiWoydiwuxM4V8ShblYuGWTvQ I2qB/cMzUTU9FPWz/NAwic8TMlAn/v5tWaiPzhH9881T0PPXDFS/HI8dPi5o vYt7sScP1AGsCTpHZKL1WVEjiDqh/c5sRT9xv2VSKNoejBXtMtB1ewq2rYrE Di2R1y8S9dSSbFQuy0LZsnLUTyzE/tuFvdHRffuvRMvvvM77bCfbi37sTzu0 R7u0z3G6+99HE+MTB/EQ18DaZnJuTbLETz/oD/1SrCedJv2l3/SfPJAP8kJ+ yBP5Im/kjzyST/LaX6vIeSyCd/LPODAejMt113f7t3NY0qQeTrYeVyw90r9+ 8aDnKNQTdUV9UWeD57bcomnXwDz7vBLFfOd3o1pRKnJJzWW1WPhaLeJsFLlk W0CznCd9zdpOXAfXuw21oZWoiRF6j3gTR1Oz/iM1yw8ifz7j5YFvyuLhtFFo zskNtctt8ba9qFdChW0/T5wI90VnVjsybavgaOKK5vhS1AcWi9yd6w+L/D00 A+W5bmiPyMVr+g6IdxP1fkgp6sT12vhwNHPvkixTNEcFoDk8FLURgdiZ7o89 OeHQ0o2Fn18GPvvUAK93++CbqFicjOSzAzeBywtn/AROXz/Fe1yh1jgdGITj gQ7YpLRcnk8HBsvrvM92bM9+7E87tPd6t6+0z3E4Hsfl+MRBPMQl8aVZSbzE Tfzx7lHSH/pF/+gn/aXf9L85vgSORu7IsK0W/LRJnsgXeSN/5JF8klfyS55/ uMF6CDdVq4j4UwfUA3VBfTQOWi+5sW/dBuqJuqK+qDPqjbqj/qhD6vFWnXd/ +YpiXZpPzhxA84GX0b13CroPPIaudtYo49DdMw+HPzDHJ18n43zvNziP8z+y cAVnTnyNAwEReEvfCkfMbH9zvXLExB5dDgbo8ZmBN+zNUbHSGnp39dUrw3Wg f7ceDGaNgtWkv2DZIk0oadvLOedLVCywWssf+iPXQeUVPyzRscESPlvR4LtS zlCb5watea5QMnQW+b9ifS1ldVtx307OH1m0yhrLLRxh8OoYqMwdCo8FQ/EF 98V0vfrhHI2PPEehe7MGjujY4s0If7Ts9kNdkbc4++OtCD95nffZju0H96c9 2l0t7Bu+NkaOx3EV82fsJB65H6TAR5zES9zETz/oD/1SFf7pCT9XawVIv+Va A9oOgg8tyYvBrIckT+SLvJE/8kg+ySv5Jc+/tV5hvBl3xp86+PHvtKgX6ob6 oY6oJ+qK+qLOqDfqjvobrMdb6eh/52b3gXwc/vSg/PPRbz9CQV4awoKd8eEH V+dJX+n97z0nGlyz5FSEwCzreYRunIP4bc/Dr3UWgmTuPwcGBZNhlDwfhmHP QzdL5PY502HhORcG8TMVe0X25fhrRI5vmqgM9czB6xezVpkIzewZsEzVwupM c1jumoc1hQ9DOcUEmkmibqmYLPd+95c1yuyBj2+jqJd2P464nKdgs3uW3CtF JfVRWa/wzO82u2cjLvtJhO1+TLYf3F9Rs8yW9jkOx+O4HF/iEHiIS/Oafe2n Sfz0Y42Dovaif/ST/tJv+k8eyAd5IT/kSfIleEvY/jzCBI/kk7xKrv8Ltco1 sR2kI+qLOqPeqDse1CH1yOOWfCdscC55/jtUJ/ugJsMB77/fMbDuxNV9hgZ1 68tFf8szFu4leOAukc8bpiLdZQt2sGbh3iBL+2uWRBSvTkPl8kTsVMlDx9Pb 0T2U+X46ukaKa09tRef9cWgUeXLlP+yx+3F3tN2l2P+E+7u3jixCWcAW7Ho1 Afv7cnyOyz0P20dkofoZOzQ/d/U9LO6Z0jY5EF2sVYbzGUMy9g3LwXbNTORY hqJyYaHApti/ZOfSLGwXNUndqCLse0DUTBEPyTO/8zrvy31ORHv2y7EIRZmw Q3u0S/sch+PJvVz630sTeKoELv65fw9J4iZ++kF/6Bf9o5/0l37T/8Z7BC+C D/LSNTJJ8kS+yBv5I4/kk7zKWkXwTL7JO/lnHBiP7rt++7OVH++1Mni/I+qK +qLOqDfq7np6vCWOQfvZuznno9ytCTa6tXjxnzXYalSH9sBGdAf1z2Np+sk6 tAN7snh1oCqiFLXBpdgV9g4+lDWL62+qWbj21HlvVxzKK0F92H542RZi48s2 OObkgrNy73QPHE9NRFtKJbY4xcPNIRz7AltQG7gTzSGZaA7KR2NwCjrTw+Fq Gwl1Y1fsjyhBVXwIalI9UR2TiPqYUDTEhaIqKQi14aloD9ku+mRAU90DHq4e ONC8ESeSNXEiyQmV2fvRk1WB1xNL8EVerKgBAnAmwlvUH45y/a+zfgE47ukJ +wWm8nzWLxAng9bL+2zH9uzH/rRDeyeSFPY5DsfjuByfOIiHuIiPOImXuKvi Q6UfasYuwq8I6R/9pL/0uzawUvDQCjf7MMkL+SFP5Iu8kT/ySD7JK/klz3IN t99Uq7jKuDP+NUIH1AN10Xid9YvlenM+fXtFBjVJnVFv1B31Rx1Sj7fmfveK n+FjZ9tRd2gW2rrvR9e+Odh7+HlRewbjyDfZONf7/U9+e3dF5JT9cw/686Wz J77FAf//QM3Cd42MnHDATQmfeYzA+97TUWBoApPhhjAcoSXOetB4UBWWM/4K ywlDYPK8O5bqb8QikbMrG2yB5tOe0L/XAiu0fRVraOnbY5muLTQXBEF9lD1W 6fphkboZlNQ3iPyfdY4tlDUssWCVDV42t4K27jQYTXoEKyYow2rOX/GG4wP4 cutofDaoXvnUcyTe9ViG97RscDQuE61VEagpcJPnD8V3Xud9tuuvV9ifdmiP dmnfUIzD8TguxyeOxbJ+spf4iJN4iZv46Qf9oV/0j37SX/pN/8mDyd/dJS/k hzyRLwVvhpJH8kleyS95/i3PwwZqFRF3xl+hjatzoK78qPbgHeqJuqK+qLOu fXOl7qg/6nCwLm+No3+e/fcIanDBqTMn0Ly7GolBfmhqqMS5vuzrcu/v8+7X v0d39Wew8XAY0jwWoKRFDR71kwXeuXCrmQN1zgvJ14RxngZUUx6Cad5c6Oda YVniDOiIHF8nbyLWhGnBzM0W+oWT5TtUijqF+1FOgEXWU1iZsR7GhaqwLnsY mhlTsDDZFCtTX4OV+B7QwPe3Zv+o1pgtxp8Fl6pHEd7hgNj2+diwg++DPYa7 fQvlmd95PbzDUbYLavhxvTJb2qV9jsPxOC7HJw7iIS7iI07NtP49UqZIP/hO GP2if/ST/urnWUn/yQP5IC/khzyRL/JG/sgj+ZQc/5drlYHYyrktithSZ9Qb dUf9UYfUI3XZr4Rb7fjh7EV0NaZhZ6oV9u7cjkv9EG+w5sQ1z1iGJf6qZyx7 R6Rg3/1ZqF9UjRzDKCRZB6BscQF29u0ZWS7y6EL1ZJHnR6JEfK9SKhd5uKgt 7lK8E7b9H06onRqKxr+5oPApL9TOCMB+rml1bzI6/pqDXZpxqNzshZbhhSL3 V+y7LtdcviMXlTP8sOc5W3TdmanYY5HPKiYHoGtUzMCc+X13irpmdB52rS5F uq0XygbvXSLy/MrlWahZsBPd42OxP3CkPPM7r/fvySjXOBP92H+3sEN7++Qc GsVcfY7HcTn+PoGDeIiL+IhT7jEja6wk6Qf9oV+dwj/6SX/pd4HwnzzUCD62 v+CkeBdM8ES+yBv5I4/kk7wSG3km3+Sd/DMOjAfj8querQgd/OTZyk+VM1CT UGfUG3VH/VGHt9rRP5/58DsfQ2VVGTSWNMFKW+SXfs04HCbqkL41nAbm3vte /fx0D40WVCeJGiCkWOSsb//mmuVkAJ9luGJfWDn2BHRjb1ALTDVzkWy+GQgK wNlAF+wtDBV1YTGcl1Yg0ykXLSH1qBeYG0Pz0BKYi7roNOyJ9cPzmptQ7JOB pgx31MaFoymoUO7XWJnjjqaQHNQFZ6M52w07I0OguzQKAZtEHV0TghPFT+NU pCbOxlhif3Yxqrd0ojqoEw0hLaiJ78DrGTvwZnoGjudvxvdh4TgTshUuz9rK M7/zOu+zHduzH/vTDu3RLu1zHI7HcTk+cRBPncBIfMRJvMQt8Qs/in3SpV/0 j37SX/pN/5tDGpG5KVvwUo6azGLJE/lCcIDkjzzuFbUdeSW/5Pnkr1wr4dpa 5W0Zf+qAevipRq5++ufYy3fEBGbqjbqj/qhDlVU7pC4H6/R/f1yW/w5/fGY3 Gt+bj/Z3XsXRY2H415lOXMKZa5vKOWzMPX9uv4n/YM3C/NnYCR84v4pPPUbi 260PYLfjFKiNUYfJUF0YDTWBzsSnYT1zCLQn3wfTl0OwXF/k62qmWK0TKXJz U2g/5SbyekcoGdphgZYllqsGweDOtVBf6I8lutZYrGaDJXwPi+uCqVvitVW2 eNnCBFZWj8Fg2hTRlrWRPoym3o4yw7vwrecYfOrS94yE+9W734sPN67GET17 oYVY1FYEobPUS575/X1xnffZ7vO+eoX9aYf2jIVdI2FfX4zD8TguxycO4lHg slfgFHiJm/jpB/2hX/SPftJf+k3/yQP5IC/khzyRL/JG/sgj+SSv5Jc8/9p6 5edrlZ+oA4q69tJPanXqjHqj7qg/6pB6vHIL7SnZ/7vrg5+3QTPcGL4+3sgq Lbjm13V8h6f3cq9c8+l/887nlYG/V7K25yF/jxUCWqaLfHYObMr5DGUy9MOe x5r0Z6GRPhH6WXNhVh0Ejcy5IsefAKOcJ7DObjP0Mv7RN0d9urj+MIwyJ2J1 1gropFlh/bYX4Fw/CeZF87A83gQr01+DWelE+P9MraL4zERA4xOIfTcKgY1P IrBhGtZun4UhQdvlmd95PUbcZzv/upnXtSPti3E43iox7vJ4Y5hzro7AQ1zE R5zES9x8/4t+6GW8gPVy7YAnpJ/016wqWPpPHsgHeSE/5Il8kTfyRx4Vsf3f zDuUtcqVPl0NereQuqP+qEPqkbqUOG+RZyxyXtflC/j49Wbx7/o6HGpKwg9n TvXf/UVzoa/0afntl0QdcVsC9t17kzUL1+Ydmozmp0pF/ixqAp04JFoGo2xJ Pnby3bClIp9Wyke5VhRK1eKwa0UpmmeXont4Ag7cnos987yQtsICzWPi0DTD B/Vjo7FvhKg1hM3G2UUojrRBzd8K0HN7CrrvSZO5f9fQHLRMDEPNcw5yfS3W Kl3c1/ER8W8D10EeWN8rTWJrmb8dlUtLkbU2BPmGsahcLPAsy8JOZYFticjj lpage+FO1IePR/einahbViKv8z7bsT37sT/t0B7t7u2bM8/xOC7HZ81CPB0C F/ERJ/HKGkvgpx/Vwp/iSFvpH/3s4btwwu9G4X/T6DikCj7Iy37BD3kiX7tW lkr+yCP5JK/klzyTb/JO/hkHBbabfLYi4s74v/1SxTW6uLH+rtbC1B31Rx1S j9TlrfJOPv9e6T1/EcEeGXjoiR0wVC1F/sYi5G3cg8Kt7ajyaEGrTwv2BTZj b0g7OgL5aUGbv2I92oG806dRMf9etK1Jjh1Us2T+6nfDTvr74HyIO96PzMEe zzb0iHzWU6caK1TyUOS6HudyDdFeXICqrZ1Yo1qOHWEZqIrm+0ftoi4oQ6N/ Hvamh0Pf2Rpr7d3Rni5qm8gEtAQU9r0rlor6mBDUBRagO0LU+J650FZzRniQ A3pqRb2RYC1y/PX4JnMJLobq4p3cJNSGdqHFq06MIXJsr0bUuHWiKlTUSGnF 6MzuRklAJlYscZVnfud13mc7tmc/9qcd2qNd2uc4HI/jcnziIB7iIj7ibApN UbzzFVgo/WjPCMVaOw/oCf/oZ5PwV/rt3YGqGMFHRKbkhfy0F+cLvgwkb8sF f+SxJ7RR8kp+yTP5/rXvgDHO/bUK408dNPTpor/OpV6oG+qHOqKeqCvqizqj 3qg76o86pB6pS+rz1qlXgN4rF/DOiRxcuPQvXMSFa+7JZygDNcq/P/5jNcva 9XjbeDOObFDGMbe78aXbOBy0vQ+G8x6A6oOrYDDcBNrTJsNuxhAYPzAPyn+L wms69lDStYP2s0EwFPdXqgVgicEGcW0dVPT9oDbOATrTnaFs6IbFquuhpG6H RRrroKS2Dq+pWOOF9drYsH4u1k6bDr1hhjAZrgv9kTpQmTweEQtvwxfc372v XvnMZYzAdC8OOa7G60ZOOLrBEU1lYYgtcJdnfn9d1AG8z3afufTNfRH9aYf2 aFdP2Oc4HI/jcnziIB7ikvjU7SRe4iZ++kF/6Bf9o5/0l37Tf/JAPsiL3fQh kifyRd7IH3kkn+SV/JJn8v371SrXVcogbV09qD/qkHqkLm+NQ7HP3wWBJyUn CtqmmvBtSMBb3xzCd99/KWqtUzh38cyNLVz5cS1z5Xf5XX2vnNsP5L9/AgVN YcjeswiBrfNgXDAZOhmzYVFkC/WU6dDNeBgrUmfDqMIDpllzoJY3Hkbea2Du a9y3fvF0ke9PgFr2HBilG8I0XR/q2XOhnjEG5vnz4VNmJOqGV8VnEgIa5v5M naL4+NTORHTrfIR3OsOlejoiWh5GWOMarHYOlmd+5/Xwzk2yHdvfyB7HY83C 8YmDeIiL+IiTeIlbizWX8IP+0C9Db1Pp5xrhr6Hwm/6TB/JBXsgPeSJf5K2g KULySD57f4d5SFcGavirNcm/+/mhzqg36o76ow6pR+qS+uzX1v/yuNL3Xs57 e8W/nYl2OPru+z+598sMQf664uucD9D114Sb/508527cmYz2h/JQu2I7dizO Q7ZuPDI2uWE7n2UsKhD5fh4qtWKRbxQp513ULqxE1505stZIXm6Fwhft0X5H PrY9twVdnLMyIknUHyUodfTBdltfdA4rkvPQ5Z7vw0QuMyYcbU9tQPvdGdg/ XNQGAkPrxFCBIbavVunHxzkcGdizaAd2Lc3CtlWZSN0QiIqFhdi5sAClS0VN tSINxauLkakTjF1N85AhzvzO6/K+aMf27Mf+tEN7tLv3rqt7tHBcjk8cxENc xEecxEvcxE8/6A/9on/dwk/pr/B7u/C/fWi+5CN5+TrJT7fgqXZRJUrUkkXN FCF5lHwKXskveSbf5J38Mw6Mx83WK/ww/tTBzU6fH6w36pB6pC5vWou/48F3 Pk99dxLHjnyI2pLd2FZZj+Sig7BfXwg3m3j4OBXA0boebsYlSN5QghzHapS4 t6Na5JhtvoNqmaA2kYe2yn3Ka1NiURtcgvKwd/BBSvavWjfspK8PzkZ74J3C QlRv7cDeoA44WRQgxDMRW13CkeQSgO7I/djmVAVb5R2oji9DVWw2mjw7UBdU ibbwPOSFueAlQ33sSvJFY2gumgPzRc6fjVZxrooRP2/xftgXVoySrVkwVPJH UoAv9lUG4PvC5TiRtBjfpq3CiYxXcS7EEN9mbkZ1RIeoBxoH6rR2kXvvD92D RJ80mKjVYrNlHMxes5FnE9VacT1V1AV7ZLv+vJ39aYf2aJf25ThiPI7L8YmD eIiL+IiTeFv78NOPBuHPzmRfvCz8yxd+0l/6Tf+ro7NRHbcTNkvLBD/VkqdE wRd5I3/kcW9wh+SV/JJn8n2ztQrjyvgyzow34874UwfUQ39NQp1QL9QN9UMd UU/UFfVFnVFv1B31Rx1Sj9Tlf/Pd9l9zDH7P69f1/+01yxFTa7xuugkHNi2U e6ofdxuNgw5j4TjzL9CdPhKrxyvBeurtMJ/5V2g//Ay07xP5vKY1VmgFwGj4 Wmg85g5lIxcs0bfGIr4fNt9dvgu1XCsMSnI+O+eHcF9JUauoWeHZjaux3lzU KpNnQGuoCYxHcE6/BgyGmcJg9JOwnz8E7zmPxhdbH+p7TiL+vOU+vOH7JN6y 2IjdOu6wi1qLFzfcL8/8zuu8z3af9j1fYX/aoT3apX2Ow/E4LscnDuIhLuIj TuIlbuKnH5p/c5d+0T/6SX/pN/0nD+SDvJAf8kS+yBv5I4/kk7ySX/JMvv97 tcpPFHPd98ZunUPxc3Dx8jl8+q+D+PC7JjQfq8XO/SXYVuWCwA5vJBxMw8dH mrF9XwZ2fbwLH337BnrPn8XpSyKHvPzvaxn+XlxRy/Rz+Ot+9nr78tWKYxdR fCQAmbsXIXW3CnQKpkAjfhpMY5fBMGcWNDMegVrcFJiFLYB+3mQYpr0Ec/st MGHunzoJGhkTRB3zD3Gdc9qXwzBzEtTTx4l64Bn4ZmojueM1OO6eDNNSUVs0 /HxtIefd185BQOt0ROfMRdQedYS1ZMNrTyZe8w2S57DmLESL61HiPtux/Y/n wFzzEeNxXI5PHMRDXMRHnBKvwE389IP+0C/6Z5j2T+kv/ab/5IF8kBfyQ57I F3kjf+SRfPb+6t/HXhkU48u/aH9Q6oW6oX6oI+qJuqK+qDPqjbqj/qhD6pG6 pD4Hj/m/PnovnLu6lrfMDW8eV//v0t/XrEHnkDjsuzf15vJd5utDk9AxqxRV qsWoeE3k3AYxSLb3Qq5JpJxbUayZgoJVOShamYZCnRzseS4fdSKX3yn+jt0x Nwi1U0JQP9Mbe4dnoeuONOx6rQTbgzeg6tFt6LkjWb431TUsGy1jI3HgBT3U jY2R71G1jUxC09hwxZ4ld6b3rYHM/dq53nIyOiaJPEhZ1FGL8lGqVITidV5I tQlAiVE4Ui2DEefmhz1qISh/2Q5HeubJc5Wa4jrvy3aiPfuxP+3QHu3S/r6+ 8RTvnqVLHE3jwiUu4iNO4iVu4qcf9Id+0T/6SX/pN/0nD+SDvNQ9ZSN4KpB8 kTfyRx7JJ3klv+SZfJN38s843HTsRLwZ9/c1a6/Rw02qaGBuy+U+Xf4hjvM/ 4OzZH/Dt6TN449CH2Fm0C2W7GpBU/KbMLd3tWcsUwcG6EZ4mxUi1LUHuxmps c+tAjWcrGmIL0B6Tg7qk13EsvRQI3IrTcl8TH5xgvitz3v71iwflwnLPRi+c 9hFtIwPRUliLKt/daBd58UbHOPjZbxP/7vdgi0MRAp1KEbGuCi46FegKaxD5 epF8vlDtV4+uuByorTGA91ZrdEfnoylQ5PkhGWgOzURLUB52p/qgJT0OuZsz oafqiKwQdxzYFofTqXY4G2SBk5Fr8XXaanwfrye+W+J0nAU6sneh1q1FrmO1 N7QV25xrsU5lGzRcA1AXGo/zga5w/rutPPM7r68X99mO7dmP/WmH9miX9jkO x+O4HJ84iIe4iK8lPVaBV+AmfvpBf+iXj/BPzdRA+ku/6T95IB/khfyQJ/JF 3sgfeSSf5JX8kmfyTd5PXbNnpuLDODFeJ/rWQWAcGU/GlfFlnBlvxp3xpw6o B+qC+qBOqBfqhvqhjqgn6or6os6otz/KcQX9/578p/YT+G01y5E1NjhsYYP9 vo/iOPdQd3sIbzmNgd2s4bB5ZAh0ZjwC/Vn3Yf2UIVC9RxMW95jCcG0iNJ92 h8FtRlilEozFRtZYamgHrSWh0P2LLtReCYOy3iYs6V8PTMUCr2mtx0KXldDR nAaDh6dCc7hR334l2jDkmslDDaHxyAswnv4XVJndi689RuPjLaPwpcj3vxF/ rt88DnYvrILunHkwsnsGqyxHwND2Gfnd7h+r5H22Y3v2Y3/aoT3apX2Ow/E4 LscnDuIhLuJTzKNfJ3ETP/2gP/SL/tFP+ku/6T95IB/kZf3UIZIn8kXeyB95 JJ/klfySZ/L9v6lVfqIcKOqXW7umv+a4chpney/i9Kl/4cBHIi/6eCcOf9qN o0d2IOvNCBS+lYhPP2hBxeFctH6+C8e/ewMnT32LUxfPir5nb2z6unnuz/+M Kl7r7kWL+Ksn660QBDaOR1S5FqzjX4blNk1oJS+Vzx3URZ5umfE8tH0eh27J ZFg5b4BhhAa0csbAOHMydDNVsDR9Pcwzn4R2xkRoiD6mOS/CLloTnjufw+Za 8bOSMQ1qKVNgUjgNvvK5x7V1in/9XPjWTYV/08OIaV8K3yw/BG5LQ1ybAfwb 5+Ppop3i3nzEteojaFsqvLP9ZTu2l/3q515Tt9A+x+F4HJfjEwfxEBfxESfx Ejfx0w/6Q7/o3zrhJ/2l3/SfPMjnMIIX8kOeyBd5I38tPyj4/NnX5QfF49q6 89/8PSrizvhTB9QDdUF9UCfUC3VD/VBH1BN1RX1RZ9TbH+n4dTlm3yFfCRX5 5tleHJpZgC6RdzP35lq7cr0t7oHIuRl9zyyu+z6RyHs7hqdg1+M7UKUiapaF uShZno1sC5H7b/RG1gY35Di6oVwnHGFbnZDpHIzSR5PQfU8MmiaHoOifjqid GI0DtyejdVolCj0dUK6fiM47C7HvnkR0D80WuX8sti0xQ82jHth3Wx7aRsWh cXw42kcmYz/3dJHvYqXjwB2Zcq57111JqFmwDcnro1BmEILoTf7IW+eL9E0u SDROwna9MFGPZIoaIw+HHkzE0fdfkWd+53XeZzu2Zz/2px3ao13a5zgcj+Ny fOIgHuIiPuIkXuImfvpBf+gX/aOf9Jd+03/y0Cj4IC/khzyFuzpJ3sgfeSSf 5JX8kmfyTd7J/76frVVSFPHriyfjKuMrcDPejDvjTx38lteDf5MOf+eDf18Q H9cq53pMvb3/5um7yC3PiBzzG5FrHj74ISpF7rl9ZyMSit+B4/o8eDkkwMux ErZO20We6oPQwEK0RyXjhJcHev3cgCBv8fEDgn1wKcgHZwP8cDrAHyf9/XDS NwDf+4s/B2zFF4lbsK2kDHvCs9ARWQ33tVXwtdiFtohOHEnPQ6GdGxYuyUeW Qx06gqtRkZiBOt8mdAZ2IcwtEEtNddAWLzQXXIi64O1oCqgQf96BOr8a7E1I Q4RnLFS1XVEYEo2eoiz8kGWDs8HGOBMuaodQc5wLXoezIVY4FWaJC6GGeCsr XYzdg51uNdikuh16K8qRFFCGL3ebAqECr4cPHF5aJ8/8/uXuNfI+27E9+7E/ 7dAe7dK+HEeMJ8cV4xMH8RAX8REn8RI38dMP+kO/6B/9pL/0u86vERVJ6YKP GskL+SFP5Iu8kT/ySD7JK/klz+Rb8i74ZxwYD8aF8WGcZLxE3Bg/xpHxDAss lPFlnBlvxp3xpw6oB+qC+qBOzvybmoR6o+4U+uuVerxV3pv8bxy/qWZZY4u3 LdfhSMBEHOPe8CK//mDTODjMGA5zkevrTXgBmqNWQnX+WJgM14LeXUZ4TTkb RiPXQHu6G5Yau2GRIfeODIbu3abQn7IVqwz8sFDVHIvUmP+bY4nBVizboAKr F0fDcOIoqN9jAJO+WsWof0/K4brQuVcXxhNvR9LyYfjOZzS+8hyHg3YPIXzF MOjOm4U1U4fDasbtULZ4Hmob7pFnfud13mc7tmc/9qcd2pN2h+sOjMVxOT5x EA9xER9xEi9xEz/9oD/0i/7Rz6XGW6E9w036Tx7IB3khP+SJfJE38kceySd5 Jb/kmXz/72uVW/+40vcMRNYQl2+8/6P4qcel3lM4dekCzpz6Cgc/3YHqoxV4 5/MeNHTHIPlgIIrejMdHH7Ri5xvi3xORs37yZRfOXjiHUxeYk974fbj+94gG 1zKK/17E4XNA2tsx8K3hfiNzYJeoBOtgNVgWLoRGmqg/UsdiQ5kRlhaqwyjq FZjZ20G3cDJ00mdjdYYF1qVrQjt7htx7ke+FaWe9gjXxejDKeBSmFVOgmzNN 3OOeJlOgnipqlqJp8GuY3bcO8Tz41nJOykRENr+C5JpgpOyMR9zeVMQdNoNf 7X3wqH0Gz+fskGf/2vsR87qZvM92bM9+7E87tCftCvscRz1FMS7HJw7iIS7i I07ilbgFfvpBf+gX/TNzsINR9CvSb/pPHsgHeSE/5Il8kTfyd/icgs+BSvFm ahIRP8aR8fxUxJXxZZwZb8ad8acOqAfqgvqgTqgX6ubyDWp2GfvLV5/J/X/9 M8g09fwl/LD/GPaPi0PH6DDUT4hGG+eD35Mo9y2U7yeNuLaW2Ss/ipy45+4U mTN3zSxB9aodqFyeg/IF3CskG1lG0QheF4Pc1ZkoX56BPLUMNKpmiNw+HXUT IpGtshbdw9LQfm8xtpkkoiTAAnWzd6NnWLzI8XPRMCEcFU+5ouRJN7SJeoDr cjWLa/uGZSies9wlaoaR8agbE4fqR/3QOskL2WrBKDeLRZplEPLV07BrWSYK lhYhxdlNvlu1Qy0LDX+vwN6/ilpjUiwOvPWaPPM7r/M+27E9+7E/7dAe7dI+ x+F4HJfjEwfxEBfxyfXDBF7iJv6GieHSH/pF/+gn/aXf9J88kA/yQn7IU/ny dMkb+SOP5JO8kl/yTL7Je0//fisjFHXJ4JqEcWP8GEfGk3FlfBlnxptxZ/xv kceG/73jSl8dcwU/qWVueJw/idMiN/361Gkc2v8pyksrkV9fhPDiKLi6r4OF dSxSNvpgm+tG7HRwxQE3VxwPdMIPgRtxOswJFxJFbZBggfOpIm9PdER9SBOa vVuwN7ANXlaVcDerRFtkJ/6VEo5ekWPbrtqCzebb0BHYid0x2WjyrUVdSCNe 1jdDklcM2kPFd78GNPq2otGrE7XereiI3Y2wzWFQVY1E5dYmdGQ146v0QJGn u+BkqDN+CHXA6QhLnAo3FzWFKc6KMyJN8UmmB7aY7obhgmL42jfhaF4OLsd7 4liyHk4He+K4rxtslmjLM7/zOu+zHduzH/vTDu2d7bPPcTgex+X4xEE8xEV8 xEm8xE389IP+0C/6Rz9fEv7Sb/q/JzpX8NEleSE/5Il8kTfyRx7JJ3klv+SZ fJP3C4kWMg6MB+PC+DBOjBfjZrEhVsaR8SwQcWV8GWfG+7SsSU7eUB4/rUkU Ovs/9/N1nePX1yy2eM9sHT5zG4/PXUbJ96g+2jwejrOHYu3Uv0LjfnWY3mYC 9QkLoTZaSc43X6iUB4N7rKC5LBwLTdZhhZEnDGZshfEwMyxXFdc01mCxJtfP coKyWhTUlyvDesZfoT/5LqiO0sSaYXpyX8Wr9YOOfOZhOFIbWtPvhd3jf8Fe x3FIXTUCZo8NxYr7X4H+SENYzr0LVpNuw+rV46Di+JA88zuv8z7bsT37sT/t 0B7t9u89P/AR4xMH8RAX8REn8RI38dMP+kO/6B/9pL/0m/6TB/JBXsgPeSJf 5I38kUf5XpvglfySZ/L9Z63ya4+BBY8GctnLv4CXS72ncfLieZw5/bXIVStQ 9VElOg+VYP/R3Ug9HIqMDneZ2zZ82oi2T8rwyfEOmfuevXQGvZdv9Dv2K/jw 4mVEvR4Nn5rxIm+fCv38R2ETrg3rqJegkyfqkOSHoF+6BtY19jDcYA7z1Neg nvMC1qVYQC17MXQyFets6WVMEPn+a1iRYgLd1FnQyX9E9J8OzdSre8priw/3 hbfYPkvUFTMQ2DABES3PI6ohANFV+YhrsENQ01SkHNKBS5MJguomwbP2afw9 d4c88/uWRmMkH9KW7die/difdmiPdmmf42gP2s+eOIiHuIiPOIlXr2+dMPpB f+gX/aOf9Jd+03/yQD7IC/khT+SLvJG/oxdv/F4s48B4MC6MD+PEeH30QYuM X8rhEBlPxrXqaKWMM+PNuF/q/ffPSS4Per42WGf/144rIg69p8/j3aWVqLs3 Gs2TI9HzYATaR0ehenowmkWu3XN/FNrHh6N+nMiR+G4Tn30M1DIZ8jnD/ttT 0Do6H/UvVsh1ufYo5yNPOwHFGgnYtZBrh+Vhu3I2isyisfP5UuweGyVy/zVo H5aNxpeqUOxhjjI97jGfi+47MtE0ORg1T2/GnkeiUD/dD533pqJpapAce9fk KDTP8Eb1HB+UPueGzim+qJglcqAH07B7+XZsVyrAnleLUKGcixKNJGzXjEOW WTgyzIJRpSRywofzse+2FHRPiEftwVflmd95nffZju3Zj/1ph/Zol/Y5Dsfj uByfOIiHuIiPOImXuImfftAf+kX/6Cf9pd/0nzyQD/JCfsgT+SJv5I88kk/y Sn7JM/nuuVPBv4zDPYq4MD4yTuMVcWP8qmcEy3gyrowv4/zu0p0y7lcu/vnv zDXHoFrm8i+uZS7iqx/eRFFmAVLciuAfFIm1folYFxgG5wBH2Fl7YqOdD+I8 N6J0izN22bjjjZBQbPNtw3b3dpFftyPUZje81+zEkeJGnI/2w/GtXshR3YCE DV5wttqFxqh8tMfUwcEmGpqWrtgb3I0Gz3Y0+rSh3l/k8RFFaEvLhtfGJCy1 dEODexOa0jrweZrIKbw9cIprZPEZT4CPfAfq+xA3XI7m2l+2qLbSQbS2Gry2 7EFzXBO+z0/EBV93fO8TgOMprDc248ug9bBbqIsvA9eL787yOu/LdqI9+7E/ 7dAe7Ur7YhzFu3E+cnziIB7iIj7iJF7iJn76QX/oF/2jnxoWrtJv+t8geCAf 5IX8kCfyRd7IH3kkn+SV/JLnXTYeknfyv9HOV8aDcWF8GCfGi3Fj/BhH4OfX uxtck1z+sya5qePX1Czvic8hMwd8smUSjrk+KD6iXnGZAKdHb4f21DEwuFsX esPXwGDiozCaOgwL/7EJRrqx0J7ji+VGXlhmthFqL4VBb4gOVr/sh2VrNmGZ zhaorAjGyr+FiDz/cdhNHAKj2cOgNnYlTIbq/6RWMeEcluGaUBX5vsG0Z5Gj MwJeC26H6rix0HhoGUzvMIHevTrQfHQU7MYNgaXSKKi4TJNnfud13mc7tmc/ 9qcd2qNd2uc4P65ZiIe4iI84iZe4iZ9+0J/VL/kJ/7Sln/SXftN/8iD5ELyQ H8mT4Iu8kT/ySD7JK/klz+/9Wav8TsfVHPPKlcG/D79Rn15cunwO35/5Qea2 h4/XYueHFeg+kI9DH9cg4WAg6t9OwRdHm1H3SR26PivHV98ewLmLl2TufPny 9/hKWPE5EIKNFXdDI3uayMunYU22MZySVWAXrwSdrPFYlKmELYnBMPO2wLoC FSinW8Iw61Ho8v2vtGnQFbn+6rTXsChtDXTSRU2Q+whcameLnH5a35rBUwb2 OuF+jRoZD8G19glENXsgsG4HwhvdEdbyJPwbJsG7fjpiap5HWNZTCGyZAc/q pxT1SrXie1jWk4iu/jt8RDu2Zz/2px3ao13aV+wLOe1qvSJwEA9xER9xEi9x E7/0Q/hDv+gf/aS/9Jv+kwfyQV7ID3kiX+TN52CI5JF8klfyS57JN3kn/4wD 48G4MD6ME+PFuDF+l+Sckhs9J7n6zt+V/+M1yY2O/vVrT1R/jq4h8XLdqr38 vbw4y3nw9yag++5kNIyOF7lvBPY/EIm2MZGomhGClvERIieOROsE1jJx6BqR iH13JaJ1SgHqnt+NYr0CFBqlYPeSfJSJHLxSORMFXDNMi++NRaD8UTvsemYH 8q0DUOS8CU2z9+DgkAy0PxyKPf/YiLY7M1E7ywtZCzah/UkHlDzjgao53rI2 qJwSJZ9t8JlE9x0ZOHRHFrpf2YXdSwtQLsYqFXVGqUE0tsl1gHNQvrgQ6Q6+ qFq0DfuGp2HvsDR0jY9DafdL8szvvM77bMf27Mf+tFMq92nMlva7X96lGO8O xbMi4iAe4iI+4iRe4iZ++kF/6Bf9o5/0l37veqZM8lCyLELyQn7IE/kib+SP PJJP8kp+yTP5Ju/kn3FgPBgXxodxYrwYN8aPcezsiyvjyzgz3oPj/+fxC47r 1TKXB73T+t2n6I7nvPNu9IQ2oFPu79KOHR77UOTeg5zNDQiz3wl78wa4eJdh s3UaHIziEbgxHkZ6xVBWbUBuUDY+9nFBh50TytU2ANGuyF3vDc8t+agIz8Zz 6iHY7tmApoA67AkvRVVMFnbHZKI9oQw+huUwXFmKypQUVKX04GhqMs55u8n9 3RXrknmJjzcuh/nijLjWaOGCqOW2qNS1w5cx7vhoby5+SHHDqSA7fBe2We5b /3WyHs7FGOIrfwvYLjCWZ37ndd5nO7ZnP/anHdqjXdrnOByP43J8xf4zPhIX 8RFnZUqyxE389IP+0C/6Rz/pL/2uDM+Cx5YCyQd5IT/kiXyRN2WVBpGjFUs+ ySv5Jc/km7yTf8aB8WBcGB/GifFi3Bg/Hr1yHZjeP2uS3+G4mZrlnbU2eN/Y Dh0OpvjQfSyOuYwSufUofOw6EfbP/gU6Y+fDcKgpDO7VgP6ce7Bhyu1YavsS njdZAw21eCw2scDSleEwums9jGe4Ql0/E6ovuMHgkS1Qv9sMBuMnwG7KEKyZ ewc0xy6Rc0gG1ypyrv1wbWjfLq7dp4/wp2zQYr8U30Xejwj1J6Eq2q+500DO k9e+0wSaDz8DmwlD4LBS5Exuj8szv/M675uIdmzPfuxPO7RHu7TPcTie8Ygf 1yyGEh9xEi9xS/zCD/qjrp8h/aOf9Jd+03/ysNT2ZckL+SFP5Iu8kT/ySD7J K/klz+SbvP9Zq/w3j8G1zNV3zG589OLcpdPicwn/+uYAuj8rQ92n9Tgmcufa txKReCgcTe8m4FBPHTY3J8K7ZjX0E+bBKOWf0At/HiYls+CQtBROGQuwLuA5 6GttwOIsF6zJELUx65q0h8VnqsjjH4ZuykKsTDdW7MGS/QhcaxRzSHRyFXuy aKez/WRRR4yGYe5MmKWvh2lGDoLq/RHRyuci4+FbO0POQwlsnA23XXMQUW2I 6LZ5cK9+As+LeoVnfo+oMcbW3XMQ1DhbMe+ldobsTzu0R7u0z3E4HsfVTlfU TcRDXMRHnMRL3MRPP+gP/aJ/9JP+0u91/s9JHsgHeSE/xikvSr7I25amBBwW PJLPJMEr+SXP5Ju8k3/GgfG4UU3Co//drcvX7Dny5z8sv/jo23Pj4ken8d6K PeganijXud03aO7D3rsU6/XyPSNFLZOuqGU4J+OeJNSP6cudRa7cOk7kzpMD 0DoqCi1TYtC4IBGlykWoX1mGUvVM7NJJQ9GyfKRt9RL5Rh4KraOQ62aMMtUy 9DyYjbK5fsjT0UfbIwHIe9Edqfo6qHjVFrVjErB/ZALa7s5Ez9AsHLhT5N8C E+ead98ncnBRq+xYWYgSlWSU6MegRDMRO5aJGmlJHiq5V+TCPBRZJKLqBT5L UeyZ0jkuFtmtL8gzv/M677Md27Mf+9MO7Um7wj7H4XgcV851F32Jh7iIjziJ l7iJn35If4Rf9E/6Kfyl3/S/XD1P8kFeyA95knwJ3sgfeSSfklfBr+SZNaLg nfwzDoqaRBEfxonxYtz65yDJeHL9YhHf91ZUyXj378Xz5/Hbj/5/ty9+fxRt sVXY49aGJrn3eSNa/erR7s9PM7oCW9Dt3Ya3yypwKcYVJ3xc8W2wO8rNneGn tgWbfFvhvqEU1qtDoL8sBp7WqSje5A47Izc8o70RVutFrZpUhJb4bDRHi3w+ sBqdIW1wV6+EhdBMR9AulGXvwnvJ+bjg6yL3HmGtwGccl0J9cT7EB53WmxG/ wgZFOo74ys0Fl/KC0ZbQhtq8SpyJWYPTYWY4HbEWp8LW42TcSlyI0sNXAVaw e3WtPPM7r/M+27E9+7E/7dAe7dI+x+F4HJfjy2ct/n170Ah8xFmWvVPiJn76 QX/oF/2jn/TXal2i8N9R8OAu+SAv+stiYa0SKvkib+SPPJJP8kp+yTP5Ju/k n3FgPOReoCI+jBPjxbgNjuOfx+93/OKahXvbG23Evq3L8ZHX/XKvRT4P+Nht HGyeHwHV+5djzTB9aI3UhdXEITBZMBPajg9hheNzWGjqBRXjcOguzoTyqgho /TMehqwt/mIAtbvVoDdlHGynDYH5nNuhO3YxjO8wFrWB1tU65U5t6NymDf27 9eH7hDladDfgU3MndDquxev2hqhUtxP2+ubHi376Q9fCdKyoDQQO+1VPQNv9 KXm2Ft95nfeNpX1t2Y/9aYf2aJf2OQ7H47jGdw6qW0Q/4iNO4iVu4qcf9Id+ 0T/6SX9XC78XrvESPPxd8kFeyI+m4Il8kTfyRx6P9e15SX7JM/l+9zp73P9Z q/zvjqvr3f6yWqb38inFc4BLvfjk+Kew3hMGo+KlMPb/G1T9lbAq2wnmcUug H/YMTDKt4a2thnVrVbGmfBk00x+Eehr3XBF1QNZkrE8UdXKqLnQyRa6f+Qic q2YjWNQS3vWzoZc3HeqpnG8v6pTsKTDPMIJ1YiKsUrxhmPkc1peNQUD99IF5 J3KufN1MeDXMR/Q7kQhvfgzuNfNFvVIOj9r58nvMu5HwEfcD+vZe6Z8HQzu0 R7u0z3E4Hsfl+MRBPMRFfMRJvMRN/PSD/tAv+kc/6a/VWjV4a6lJHsgHeSE/ KgHk63HJ2wbBH3kkn4p38E7dkP/B80l+r/Wq/08ffX/tXD7XK3LpDHQPT8be e66/rpRiDnfKwHyJvX17j+wb3jdfgrXMvSnYf3cS2h6MQtt4X7SOj8He0fGo ey4JHcqJSNGMQdmmaNSu2YnmQF1UeVijZFk60p/ehB2vmqFkZqjI+1PQPtEf O550Rtft+Tg4XIwn59cny7WAu0Wd0Hl3Blqnb8cepUqUaaSjUDsapVqsU7JQ wfV/B+8RKWqPqiU7sGu+h8jxRf4+LB0dok5JrX9Onvmd13mf7WSNM2jvSNqj XdrnOByP43J84iAe4iI+4iRe4t7xlDPaJ/lJf+gX/Ut/apP0t8rTWvpPHsgH eSE/5On/sXcecFUdaRt3v90kGtNMjBqTaGxR00yvbpqxptgBKVIE7AWsqNRL B6UpSu8ioAjSe+9iSewaYyzRTSwxdgWeb5659+q1lzTYve9vz56cOTPvPO// XC/z3nPmDHmRG/mRI3mSK/nK+UTqnERjPpG8LtxuNv9exMbryuvL66x53bX2 B9mVnOUHlC/PQY5dGUpci65bi7JIfN7LsSc8Fud8HPCbizOalrri2+lzkTTP GdtW8P3GZZg1NBXBM0uQ5FSJ2EW5mD9xNZ4e7IExE5bAaaY/rCbnYcXsArku ou2oVNjpJGODZyWyfSqxPUaMKRSOqveUOeIic4UlzthktRArhs9AjK4VfrSx Bfxt8WNkNHJWlKHArhR5S4vxn/h5uOBujrNLLXHWeypOB3yDc76m+MVtEmZ9 Mlnuecxynmc91mc7tqcf+qNf6V/0w/7YL/unDuqhLuqjTuqlbupnHIwny7VG xsc4GS/jfnqQB+ZbrpY8yIV8yIm8yI38yJE8yZV8yZm8yV3zOvC68PrwOvF6 aV4/rf35dlc5i2qtyN02n+OQA9da7CjH1wcWd8DETztAv7UuzB40xtiu78O8 9wMwMn8DY62fgIHpu/hg3KfiM2OCL2YPxmA9Jxg8YgzjB/Sh03EoDF5sB6sX WmFy73/CoMMQUa7MVUwe1oepyA/0/6UH/YcNYfeKBfJ0Z+CHSTOx28wGW2bq Y6tjT2ycOAvbzaZjyvOGMHpA5BNtRdsHTTGhhxijdRU50JdvYeTid+Sex2bd 35PnWY/12Y7t6Yf+6Jf+2Q/7s3vZQvZPHaYyf9JX5lJCJ/VSN/UzDsbDuBgf 42S8jPvDcZ/AwOQdyYNcyGdM1w8kr3GCG/mR42G5FkxHyZecb7ZmpDZXaa52 5/dRHTvzC8bFGUEv4lEYxfeFZcBAjFn5CkYHiXF8xJuYEz8TFqPNYBYyVYzr R8IgcAjMYwaIHKA75oYMw6ygwRgX3RVjwrtgXiZzgZfkfQ9Ffl+MW9UJhpHP wjRKDxYhIZgU7CX++1PoRXfEWOYEET2wOKcP3Av7iJxDtQaLyEP8Svth6RZX 2OW/AieRp7wv8hVF/uuwzXsFPpudxfnXZT3WZzu2px/6o1/6Zz/sj/2yf+qg HuqiPuqkXuqmfsbBeBgX42OcZqEjYBo8TcZPDuRBLuRjuWyQ5EVu5EeO15C/ yTsOtD/+/nXWdFn5W/vJjB9R9X/3t4bk1fdRhcr53iXtxNi5oxhrPyhygTaR qH5qKWofXImsfvbIHZ2CaOMAFHpYItImFjnDoxFh6oL47jHY0ToW5c+EIe3Z lajq5IaK1jEof0z4eCIamx+PRPEzcSjvl4rsz9YjTScWifr+SNQJxDq+O4t5 iirPUG+pg6OQOSIB5S+kIKeHE/JfWIr6f0aLPCUAodlvyz2PWc7zrMf6bKfp R/oV/tkP+2O/7J86qIe6qI86qZe6qT+t80oZD+NifBFmLjLeSJsYGX+0ib/k QS7kQ07kRW7kR47yvc0yJwm9dU5yh7Uhq/4vUF5feU/tsvbf1p9it8hZ1Oug FzsXIse5Ct+5rxbj/MVi3K7ABW9X7LCaDV+LYJT61iJjcT6MddagQFGACpdC bPSswAijADhOS8GsCWtQNn8BamzsEDrfGSM/9cEYkePazspG5KJCMT5fAfiY 4aK7Jy56OuGSGLtvnbsYISNmInzULOxcYAd4OeDcMndsjF2DHK8qFDqUoFT0 le0hdEX7oWGJMc4smSjykSk4EzgMp/0t8IvrRFj9e6rc85jl8ryox/psx/b0 Q3/0S//sh/2xX/ZPHdRDXdRHndRL3dTPOBjPyE98ECryD8bJeBk34x9h6C95 kAv5kBN5kRv5kSN5Sq6C73ceqyVvcldfA22u0jzsjjmLGDfvMJ2PvTMH4Sfb R+Vai7wXcNDhCUx6922M+xfvLZjB+EkxvhjQGWNnd4HhtO740uBz6Bq8B72Z baA3rxvGv9Mdpr1aY9izwzC072uY0uufMO/5CPTajYTJPy1hKnIBszZ6MHhA B7qtDTC/jznSRs/E95Nn4gdza3w3wRr1CweI8T3H9W2xZcFg7LeYhyXvmkCH 90La8pktY4zu3h+TRR4xbuBrGLzgTbnnMct5nvVYn+3Y/lvhh/7ol/7ZD/tj v+yfOqiHuqiPOqmXuqmfcTAexsX4GKeuiJdx6xq+Lzh8JnmQy0TBh5zIi9wm C36HBEfJc2FHyZecyVszX9HmKi3TmlTrmx85XAdDt4+hE9MFY0NehHmiNfQj X4Ru2PPQTegGy7mTMC5QByMi9WAc/Cks4r4QY/lB+NJDFxaOg2AWNxYGYW9i bsbLWFom8pS8bnAu7A73UtF2zSgYhoXDKHwlTGK+gn70MyKf6Cx894BeeHf5 vjCLJL4frC9c8pX5ikteb3iXv4qA1Z/BJb0XHAtV81fE3lUcL4//FF7iPOvJ +qId29PPGDnHvrv0z37YH/tl/9RBPdSlEPqok3qpm/oZB+NhXAbLB8o4GS/j ZvwT50ySPMiFfMiJvMiN/MhRk6vWmoGpHsTfMzYXFa0C7j1n0RwfP8z3folx dnsfMc6OQPUDgcjt5IG8h5YjnPNBhq7DqkWWSDT2RLr+OkS6L0DoVH+kjg5B xcRlKBgfjRW68YgdHoC4D1IQ93Eq0gZnofKbDGQMTcK6sTFYI8YuSXoBWPd1 JNbzua8hsSKviL4ux4hFqsgvCj9PFWP+CJQ9uRKZr9uJvCBa5BIBCEl7Q+55 zHKeZz3WZzulT838R1Um+mO/7J86qIe6qI86qZe6qZ9xMJ4Ky2UyvtBp/ogS 8TJuxk8O5EEu5ENO5EVu5Cc5Pvw7roW4jryevK6a11lrf5LdJmcpEWPsTM86 1AWny+ehTvG5KE8Fts1fDBeL1aj3rkC0GLPP/TIZ5Z4lqHErh+uMJAzU8cEW 7zKssi3HPEt/nPGyQfxYKxQZz8RxN1uk2igwb3EyZkxYiRXzZqF8oQK7Fy1C 0pgpiBs5A98L/1iiQKO7HQ6HeqMsJB9ZzjUocSxAkYsYx7sUocCuHJWrEnBm uYXIRcTmNRW/hQzFryuNcMxlMmb3nyn3PGY5z7Me67Md29MP/dEv/bMf9sd+ 2T91UA91UR91Ui91Uz/jYDxFJjNlfIyT8a5aXC7jH6jrI3lUCy7kQ07kRW7k R47keUr1vBk5kze5a3OV5me3y1l2TZiG78zmY/OcITiy+BEcXCTG1Qufxg8O HTDx3UEY38oQBo+LHODFF2Ay4RWMtXoCYy37Y+D4gTAR4/QRc5/B+C/7wfq5 Vhjf7TmMfWIMxrc2hN7j4zDiZdHm2bcw9tkvoPeQHka3NoL181Ox7quZ2D3R GvsthQY+izZtInbYvomf7B/BIRvR/+LH8J31QOyxXIDk4ZbQby3GeQ+Pg1lr fXz19FhM6fpPjPp3d3xu/arc85jlPM96rM92bE8/9Cf9Cv/sh/2xX/ZPHdRD XdRHndRL3dTPOMaLchlXt2eVcYp4GTfjJwfy4D0WkwkvS07kRW6TBD9yJE9y JV9yJu9dqjUjtblKyzX1uPrgrnTMsOyA0fHdYBr8OsYv+RAG0T2hG90ZBn4j YCm+e8fFd4Fp2CuYtUIX+rGvQCd8LIyDRK4b3htGMSOwIH4wgirnwH3dZ/Ct /BIr8wbBP9cXU5JCYRD5DYxiO4tcogN0wnpCL6Ln1fn3YXxWqxsW5/S+eo8l X+QuRT2hSPgYwWUDYZv3Kj6MXS/3IWWD4JT4qTjfQ1nvyr2V3tKPrsbcfvbD /tgv+6cO6qEu6vMTOqmXuqmfcTAexsX49GOU8TJuxk8O5CG5CD7kRF7kRn7k qMlVa83AVL+7c9s9KhvVD66875ylrm0YqtqGoP4pXzH2DsX2gWux871YFC1a iyjDlVhn4ItVDhOwbkgG4kb4IlbPD6lD1yBpnB+SRoQgeXAMkox8sNJ2LqJM lyFt7DIkjgnC2mERWKO7HEk6y0W+ECHyhlXK/GFY9HV5hfI5rpQhkcgcvgaV XRJQ13olatpEIedVR5R2WIbq9oEISXlV7nnMcp5nPdZnO7ZPu86v3Iap85ZV Ugf1UBf1USf1Ujf1rzFaqoxHxMX4GCfjZdyMX3IQPMiFfMiJvMiN/Krkfav7 vA6csyKu4+5ROVeurfa25V9gN8tZ3IpQ7FiMXJ8K7EqMwAUnW5zyUOCShyN2 urpi7tdp+Na3HI4WabAzT0OdR6lcc6X/176IXJiBUpdSUVaMwLlFGPaBQuS/ c3DZyxXnvJ1QH1eICs9a5LpXYen8MLzzUTLGD18B0y/9EW3jjOp5tjjgao89 EXEoW7kBFYoSVLgUXFnPXj6r5liC7IBCnIyeiXNeE8Q2FcfDh+J42Fgcd56C uf2nyv0JHotynmc91mc7ttf0R//sh/2xX/ZPHdRDXdT3Tv9kqZe6qZ9xMB7G xfgYJ+Nl3IyfHPp/4yu5kA85kRe5kR85kie5ki85kze5k782V2l+drOcZZcY K++Sa0VaYYPTGzi68AlVvvIU9jo/B+uXjGH4LwMYPTQG5p/1gs7s5zBuencM sBDjksnvYrhVW5hOeBvTev0Txi90w9i2ZjB7UNRvYwjDF7thVq9WmNKtFYy7 /gPWHz2GCNN3sW2BGK/PscQOMV7fbDkdW63GYJ/T0/hp0eMip3gGB2T/T+I7 517YMWkaNhlPh3lHalDNd2k7AdO7PAyDNx7D0Mnd5J7HLOd51mN9tmN7+qE/ +qV/9sP+2C/7pw7qoS7qo07qpW7qZxyMh3ExPsbJeBn3cKtHYDjlXcmDXMiH nMiL3MiPHMmTXMmXnMmb3Hdpc5WWbarnwi4eOAIns5cxKv5ZmMXpwFhso4Of gkn86zC1XgiL8C8wWq6t+DyMIvtjsKuJyAM+xzi5jr0Yq6d2hVcp39XVVeQX BgjKWI1VUd5Yme6AefEDMT76U+gE9YJhbF+RBzyDseHPQTfiBeFDOQ+e80om J/eU8+eVz4S9BNfc5+FYOxXBmy1hl90bH8aly33w5olQiHKeZz3WZ7tJycp5 Msp59S9I/+yH/cl+Rf/UQT3URX1BmQlSL3VTP+NgPIyL8TFOxsu4GT85kAe5 kA85kRe5kR85anLVWjMx9VyWc5zLEi7nZdTeV84i2jy6EvXt/VDRKhCHXWrR cOgMciNWInJIGJLsJiNhZCgSjaKR0sdbvr+q0mgZUnQjkDowDunDRK4xaDVW zHTGmuHhWPNNJOLNvbBW30c5/h+7Aokjw5D2Jd+lFYu0Qer7K+K/eY9lWIxc syTzmzgUfrAeNQ+FyDkcnIte0tkPeX0VqHxqBaKS+sg9j1ku3ynAuR6iPtux Pf3Qn/RL/0OU/cl+Rf/UQT3URX3USb3UTf2Mg/EwLsbHOBlvSp8lMn5yIA9y IR9yIi9yIz9yrL2ffEVcNzmvRlxHuS6kxvXV2l9gN8tZFCJn8SnGscSlOOPk IMbVzmh0X4yKJdGYNWw9NvuVYt6XyQibkYWtPlWYZhmJ8eNFvupeKcbbxchx KMSEr9dBTycTybMdgKW2qIpPR+nSGmQtzsdCw3WwHOmLoCl5ImcoRYZrBfyt cjFzdjGWuiiwYFYo5k3MRdD8HCQ7VKLMpUz4Vs5FL1cUIMurAtvivHHJczzO ek3Dz2Hf4ETk1yJPmYr5/S3l/kTkV7Kc51mP9dmO7emH/uiX/tkP+2O/7J86 qIe6qI86LUf6Sd3UzzgYD+NifIyT8TJuxk8ORoLHVIsIyYecyIvcyI8cyZNc yZecyZvctblK87Wb5Sx7zK2wbdJU7HDvgp9snpLj+iOLHsNW249g84oFjP5P HyOf+RLjJryOcbMewzczB2PolC+hN6MdDKxehdm7T2JCl84Y97A5zB7Sg2Fb Q+j26Ykp3VthwrP/wOx+rZGk3w77F3fASQeRD9k/hh8Xt8MO1x4otp6CTQs/ xfdOncX5Z3DQ4VEcWcjnp5hfdMZmixnYO2kGnF4zkfPjub6j6eP6mPTiw5gq colxll3lnscs53nWY322Y3v6oT/6pX/2w/7YL/unDuqhLuqjTuqlbupnHIyH cTE+xsl4GTfj15vxBIZM/VJyIR9yIi9yIz9yJE+Zhwm+5Ezekrs2V2nZphpX nz98Am4zhsAouQ/Geb6LCWHvY8yqTpjiZgQzh4nQXdUFOqFdYRDeG4NCx0HH fzisgweJXEB8ftd1g3fJ81hS/CEC8p2xIjsCAYXmWFL1NtyLemFhxhDoBg6G ebj4/AXrQD94CCZEfYqxIT1gGMM1JjsJP5w/8gIc8niPRTn3xVnkI0GbJ8Gx xgIOOX3wnshXuLevNpc5i7MqX2F9tmN7+qE/6Vf4Zz/sj/2yf+qgHuryFvqo U+oVuqmfcTAexiXjE3EyXsbN+MmBPMiFfMiJvMiN/MhRk6vWmo/J90Y1NuHX rAOoaRMkNo7173W8HIYNj65A7ZMiX3koHHuHJOP7bZuxUt8DcdPtkThrAeL1 g7HO3AkVrSNR/bw7ap5dgvJha5H29WqkDolE+oAExBksQ+DC+UgYG4yU4WFY +6XyXkrSyHCRIwQiQZxPHLccyToiXxgRjrRhUUgZIvIdkU/w/cPpQ0Wu0i5K OQ/+kVDUPRIi1yzJftkBxV19kBTZR+55zHKel3NDRH22Y3vph/Pth8RJ/+yH /bFf9k8d1ENd1Eedq4Ve6qZ+xsF4GBfjY5yMl3EzfnIgD3IhH3IiL3IjP8nx XvMVcb143Xj9eB15PbXvLv4b7LqcJdu2HBWe+Ti93AOnXRzxm4sTLgQ4ocA/ GTMGpqLYswjjR61Bjn0R1tvn473RHljvkI9qz1Jk2uZD74sE+E3PwkZxPHXi KoQvj0WRRwUc9FMwfvAauE5Yi3yPBFR6VIkxer5cw6QmogjHosNwwc0ehx1t UTBvMUKtXTF3wgosnBqDRdNzEb0oH+lOIn9xqsb2hBhcXjEBZz2m4WiQDn6N GIpjLlOx4N+Wcs9jlvM867E+27E9/dAf/dI/+2F/7Jf9Uwf1UBf1USf1Ujf1 M45CEQ/jYnyMk/EybsZPDuTx3hgPyYecyIvcyI8cyZNcyZecyZvctblK87Yb chYDMXaeNAUHHJRrRR5a2AEH7Nth68JvoHhpCvRb6cPw7W8wdkEnjJvWC/+e awqD6T0xenZnmH7TA6ZdO8GgrSnMWuvCqO14jOjWD2ZdW2HmK60RrdsOu206 4pgD5/ALvzbMhZ7ADvte+HaWgXxP1lbz2dgm8oo6K1NsnzcIW2zfwX77ztij aIe6+SNw2NQGsUMsoPegcv6L4ePjoN/3MUzv9Q9MnP6O3POY5TzPeqzPdmxP P/RHv/TPftgf+2X/1EE91EV91Em91E39jIPxMC7GxzgZL+Nm/KOtO8NghuAy z0zyISfyIjfyI0fyJFfyJWfyJndtrtKyTT3v/ugv5zBrqQMmJb0O87jpGBMi 8ofIdzB55gIYRb2NMeHPwCjiJYwJNsaoyM9hGiNyg5W6sEj7Ar5i3O9dpMCS /DXwKbLBkrI34FLYBYrcnvAo7IPZWd0wNqKzyCH6QC+oFyasGg4Dv09gETcZ RsuGwCR6OIzD38KYsF6Yk8n3GXeFq2inKOiOFUVfwH31B3Ao7If3o1Pk3k0c BxYPkOdZj/XZju3HCz/0R7/0z37YH/tl/9RBPdRFfdRJvVK30M84GA/jYnyM k/Eybhk/OQge5EI+5ERe5EZ+5KjJVWvNzNTrsmSLnKW1Mmepezz8rsfLG9qJ HOSf/jjslI/j68R4+VQjNuQlI2TEEqx1sUDwF0HIXRuBX9w3o+RBJ1Q/twyV D0Wg8rmlqBBj+tThq5E8ZjkSdVciYJoLgkx9kTIwERmDVM9+8R7H4Kv3OBLG hCBlTCDixwdgncglEkQOkTcmEZXdElH1gNAj3/UbJueqb2gdgcJn/ZD99kKs W/Gq3POY5XIuO995xnediXZsTz/0R7/0z37Y35V7O4PjpB7qoj7qpF7qpn7G wXgYF+NjnIyXcTN+ciAPciEfciIvciM/ciTPu34GjGvSMFcR1+3X7IPXXE+t /Q2mkbNULstCsvNmHPfwwlk3BzmmPhPojkT3UswauRYpNvmYMiwJm5dWQWdc EGZbxmKrbxXWLsiF4aerEWSdgzr3IpR716A4JhumY92g/8UaOBunINuxBHVL s5Hvk4h82wrkepahMioPpwLdcEaxWK7ZeN5dgSYvJ8DTEefdFmGPvR0y5iyG z3Rv0dcK2ExdC1uHLPzgZ4FGT2NcXGEChA/DcfdpmPfJJLnn8SVRzvOsx/ps x/b0Q3/0S//sh/2xX/ZPHdRDXdRHndRL3dTPOBiPiYiL8TFOxsu4GT85kAe5 kM9mnyrJi9zIjxzJk1zJl5zJm9y1uUrzN82cZZMYM28ynIaDi57HoUXKtVd+ sO2Eb2dMg2c/S4z+13gMG68Do1mtMXjBWAyfNwS6Mx6BieVrGPNibxjyWamH Ra7ykDGGduiPya/8A6EjnsA2MW4/5sg5G+3xow3ncIi9/RPYavc+tljMxU5T a/lO310TxGY2E7tNZ2GH8Xx8Z2mFrRYzUT9XF1sd+qN+jjEqjKfA8EljmPzT GPptTDC2S19Y9f4H5lh/Jfc8ZjnPsx7rs51sTz/CH/3SP/thf+xXvlNY6KAe 6qI+qVPopW7qZxyMh3ExPsbJeBk34ycH8hg+b6jkQ07kRW7kR47kSa7kS87k vUmbq7R4Uw+rD/zagCkJiZgc+QqMfIfCdG0vmNpNw0QvA4yN6wjz8NcxNVBf jNU/hW7YMxgd1gFTs99HwDonBKZFYEmpB3xK35Nry6vXUHEt6Au3gj5wzOur fM8x70/wGS3RflwU3yH8IgxDXoVp7EgYBQyEecxkTAj5DP6VevDIfg2eZa/B KbMn/JM/hXvZe3gnao3Yvy+PWc7zrMf6bGch2hsFfCH90S/9sx/2J/sNVb63 mHrc5DNnfTXWbnlW6mccjCcg2UnGxzgZL+Nm/ORAHuRCPuREXuRGfuSoyVVr zc/Ua5/LnKVtMKparUDdE+G3fzcV72GIOpWtlqPuyXA0nL4ofVy4/CuiFvgj dsZ8xE1xQtgUexz6z378MCcLhQ96Y0PbCNQxRxD9VHZzFblALJIMIpA6TOQE g+MRYuqDUGsHJI6IxPqBq5E+aJWcR5I+NFrUiZH5QuqQOPnfKcPCkWgUidz3 o1DY2QM1HX1R0jFArgFf9Yjy3k9160hkfWSNtLgOcs9jlvM868n6oh3b574f Kf3RL/2zH9nfMGX/Ugf1CF3UR53UmyJ0Uz/jWD8sVsbF+Bgn42XcjJ8cwqbY SS7kQ07kRSM/cpQ875I9rxOvlzpX0a5h3wxM9Xf/8rEfUJ0hcghvZ7l24jkn W+yPDccapxLM1F0Hr+npcDHMQIx9Gj74ygcbvCsQP0/kKv9ehZg5YqzuU4I8 12r4K7IQNGomksdNhZlpNPJda+SzWIUumVi/PBLpfpuwNzoK55baiRzB8eqa kW7KtVh+dVOugXLBQwF4iRzGwx6nRH6x2cYeyQsWYamLFeZb2CNq8QRUugzC D24TYfuRsdzzmOU8v9Rllqy/yUbZnn7oj37p/1dVf+xXvVYk9VDX3uhoqZN6 qZv6GccEEQ/jYnyMk/EybsZPDuRRJ7iQT4xdmuRFbuRHjuRJruyPnMmb3DWv g9aar6nHyOdPnkDRMh/snS9yisVPi/F6O3xn2w+7plnD9xUzjHx2NkYu6g0d 65cw2GEiDKY9CZ05fTD0rc9g/JAezNroQuf/jDGy81D4ff0Itsx+Gr+Icf5R 4esA55nzvViLn8APTh2xyVoP302Yg91mM25cf4TH5tNELsHy6dhrOB/V8/Sx x+Fp/ODyHKw/eQW6HfthxFPjYdSpP2b0awWHBSPlnscs53nWY322Y3v62Slz IqX/m/VLPdRFfdRJvdRN/YyD8TAuxsc4GS/jZvzkQB7kQj7kNHJxb8mN/MiR PMmVfMmZvMld8zporeWZelh96EwTpmcWYOE6Q4wI/hgWwZ/CzGo+9BNehHnE m7BZNg4TIj+AbuRTMIjqhRkJegjMXIHMsnSE5VjDubAzFLkviPH/y6o8oI9q XZQ+4lwfGMZfXeNevW6jXHs+oivGyOe3ekIntCdMoj6EU84o+GeNxbLiiXBa PwLhe9bBPe8jvBmzFm65HyFCHDutHynPsx7rsx3bG8b0kP7ol/7V61ReWdte 6KAeN5U+1yt5y8tSP+NgPIyL8TFOxsu4GT85kAe5kA85kRe5kR85anLVWvM0 9Vj3ePw+bPs4RY6bObeD42J5v+WRq+NkefxwqKizDDuGpuNUwSE0XW6UUyZq ivLgazkfa+bMh7+BB346uEH8QQK++2Qtav5FH+GoeGo5Sp9bgqoO3ijq7IXC l1JRMHwdUr6KQtqAVVg1bgWCZikQMdUNMforsP7LSKwZshoZX8Qje0A8Mgby XocYA32zFmmvpqPswSiZg1Q+HoyKTn6o7OCDcq632M4fFW0iUdzLFQXLn5B7 HrOc51lP1hft2J5+6E/6Ff7Zj+xP9Mv+qYN6qIv6qJN6qZv6GQfjYVyMj3Ey XsbN+MmBPMiFfMiJvORqQ4IfOe4Ymia5yncaC85XcpdHrh7zuvD68Drxemle P639/dbUqLwWh3/eid3BwbjoYodz3vbYFpaMRJtyzBifjPljkhFilYuh43wR tHCdGJsXQk+M0dNtC7BFjNl9JhfCwiwF8cazxZhlMeDngjIbO5ibJ6BMUYZM 52pkZQTiSLQ3Ljg7KJ+LUuUqN9vU+csp3vvgO7WYv3jbYUt0GBLc1yFwsT/m 2jhh7nR3DOgXIPdzbRSynOe/FfVYn+3Ynn4085ObbrzXwufghD7qpF7qpn4Z h4iHcTE+xsl4GTfjJwc9mbMUSj7kRF7kNsNYyZE8yZV8yZm8NflrrflbY+Nl ud91bj22RLyCQ3M64pDjo/h27mB8P3EBAl6fjI8GO4sxeEd8pTDFmDlvYtTc DvhygClM/k8Phg/oQK+1OWze00PV7PY45tABR207iM9UexxY1EG+x/cnu0ew fXE/bJw5AbuM5yrva9xkXfcbt+nYaj4L+xc9g5MOTyFp3AMw6dYK03o+AN1u b0Ovx+eYM9Nf7nk8rZfyPOuxPtux/c677E/e5xH6qJN6qZv6GQfjYVyMj3Ha vDdOxs34yYE8yGXMnLfwpcJM8OqA/oIb+ZEjeZIr+ZIzeWvy11rLNPW4+ogY W9hU7sCklUNgsfZLMRafDJPlX8A47j3MDDCARWRfGMZ2hm7wN5gR5Yfs2jIc PXVAevj2lz1wLZkO3/J+cM7vrZEHqNZF4Vz4NT0xWr5n+Oq7u668w0s1P14v 4gWMDuP8kefgU/EaHLN6I7hSBys3rYNr1jQMWxYh94HiOKRyrDzPeqzPdnoa 8/dv7KOb7H+y0OFedHWdF/VG3dTPOBgP42J8jHNGpJ+Mm/FbRPWVPMiFfMiJ vMiN/MhRk6vWmrGpniVq+K0B+yaUYuMLsXLszK3moWC5qY/rO0Rhn0kxGs+q 5nc3NeH0mTNYYe+FVfaWCJ8xH5khsfLUgUXVKG/lK+e7lz3njbJOPqh6lOst RqH6aX+5dknJc4ko+CIVGSMT5HNXqYNiEaW/HHET3LF0gRNixD7RwhW+070R ZBCO9NHJKO0Xi9rH/bClnR82ihyk/rFlqGgbgsz2IVjbawmiP7RF7vuzUfDm DFQ5dpB7HrOc51mP9dmO7emH/uiX/tkP+2O/MSod1ENd1Eed1Evd1M84GA/j YnyMk/FWPhUo4ycHGrmQDzmRF7mpb0CSJ7mS763Y87rw+vA6aV43rTUPa+S1 FNumb88gcckW7A/h/Q8HFIeVI2NRIYwN12LW6BRYG62GoekKhM3Oh+HABBQq irB6fg6MB6VipkUyvne1B7wccd7TGSfEuB9eTkicbgOHOUnYFpeLY6FWuOAy T+QNLrfOGW6xnXIXe0dHHIl1Q1nAKtQuCUFNhCfWOOTivfcy5L4mwkOW8zzr sb5sd699CX3USb3UTf2Mg/EwLsbHOBkv42b85EAe5CL5mK0QvOIlN/IjR/Ik V/IlZ/KGXN9L+++hpVhT02V5zb4/4YtNG3tjX2R/7JvfHhtmWOKAxVT4DfTG ZxNHY6TDGxilMIL+7EcwdOwCjG5lBoM2Oljw4nSsNzbGUZeO+MVW5Cg2HXCQ ayNyzv7CJ/GjfXtstv23yBvmYJep1Q1rJN42f+A9j4nTsdnpZRxb/CSqrZ7C 5O7/xKzurTD2udeg/+hMzDCpkXses5znWY/1N4l2bE8/d9unvL8jdFIvdVM/ 42A8jIvxMU7Gy7gZPzmQB7noz35UciKvzyaOkfzIkTzJlXzJmbzJXfLXWos1 9Tfd8YuA26aTsF41HjoeozHFdir0Ewdg3ApdWMa+iLERAzE2aBm8s+vx06kT V9s3Kj38fHIvAnK+gFthj2vur7io1pG3Suf8kpvnK5qbTlh3jI/vCeeC3iKH eBHeZX2wLOMr2Gd+gE/ikuQ+IONLWc7zrMf6bHc7v+yX/VsLHZ435Ct9pW7q ZxyacdEYL+Nm/ORAHuRCPuREXuRGfscvXstVa83c+Lde9fNkw8mL+MlzEw7a 1WLj8zFyO2hbiyM+W3Buo+ozLz4XDZcuy+tbX1eIwJlTETLHGssXK3Dp8llZ fqrsCE6u/wE7DBNR1noZ6tpGKtcZ4Zz31hEo7RCAMpEr1LSORtFLa5ErxiuZ XyeILQnrhyYieXgUMkaHIXhCJFbO9UeW4XKU912CmicVKHneDUXdXOW+opMr ap9xRF13e+S9Zo+1bzhhbZdAFDzri+KAZ+SexyznedZjfbbT9EO/9M9+2B/7 Zf/UQT3URX3USb3UTf2Mg/EwLsbHOBnvDsMkGT85kAe5kA85kRe5sZwcofp3 Rr7kTN5X2IvrwOvB66JkD+2Dls3Q1N+Vu8v/g5z5ucjxqcfm1PUocitDnmMh Ro9cg7HfJGKQng8WmKbAcuQ6RFlnw3rsWpgMTEG8WyYQ4YZLbo74VXUP4zdX Bc4pbHEm3BuTF8ahbL4TGpZb4IjffJx1cb7nHILbGRfh39cVxXHxQlsI0mPt kO6UikHvJMk9j1nO86zH+vfTD/VRJ/VSN/UzDsbDuBgf42S8jJvxkwN5kAv5 kBN5kdvoUWskR/IkV/IlZ/LW5K+15m/q8fLhQ/6oLGmHXZs+wMb4L7HFeBoO W0yD57RofGw+GEa+htBd8AL+bTAXox6djfnd9bHu63nYMVfkKq4iP+F7xTif XLWO+0+LnsAexTP41spArjWyWz1X5G7zBtW6MNtMF2CH9SAcsX1Erve46KMH MOXZVtB76XEYdjTB5PFlMOxgIo9ZzvOsx/psx/bqdU7uPmeZLvVSN/UzDsYj 16dnzsI4RbyMm/GTA3mMemy25ENO5EVu5EeO5Emu5EvO5K3JX2st09TfdBfE WMC27gSmr3HEzLkLxLjcEF9G6cA4YhD0VrrCJeM77Dh65kq7Rr6XR7ZWrt9+ ueEsourDsDj/U7gXvXhNzuIuNoe8PtCLvHZtlFtuot7i3N5w59oqJX3gHfMm fHIG4q34JPjkDoJXzFuynOdZj/Xv6JO5kqhHHe7X5SrUS93Uzzga5fONyvga Nf4WMH5yIA9yIR9yIi9yI78Ljddy1VoLsev+5jecviS3m1mT6vORlLZEjMNN EeY+C7u+3yqH0pePnsRvRYewWy8PG9pHKdcX0ZibUdc2BNUPh6Oiqyeq2vuj 9oEQ+QxVcZcE1L+VgqJ+MUh4NwH5r8Vj42vrUfH0WtT/K1LUC0dlmxiUt1Zu XGO+Umw1bUQu1DoS9Q9EYtODEdj4L9Hn0wEoXvYM6toHyGOW8zzrsX6lqr3a F/3SP/thf+yX/VMH9VAX9VEn9VI39TMOxnPNPBO+P03EzfjJgTzIhXzIibzI Tf77usVzxDdlrx2TNVtTvlvkEvZlVyJ/cQHynCpQHpWN2pBMZDpVYvS/E9C3 31J8PjoQowclY/qotZj0zRoss8zFxuhcXIp2x2+O9vKZKzkfReGIi96LsDdC 5PNB5UixrYalcTS+XzINZwIn4zdnN5x2v/dcgrnCBS87bIkMR47XKmTEL0S6 axIGvJUs9zxmOc+zHuvfc74idFEfdVLvRKGb+hkH42Fcp1XzbmS8Im7GTw7k QS7kQ07kRW7kR47kSa7kS877sqskd+27XVqOqcfL/zkUhKriDqiveR5VtRNR q1iOvdZO8PBaioFuIzDOfQA+MTHHlA99kDDIDLvMF2D3PEN8r2gvx+6HFvG+ Cp//ehqHHdpi56K3UT91KnaZWt97vqDadnAuvvFsbLT5Bvvs2+G4Q0dEjGoL M5GXTOrbBqYdTGFoUCX3PGY5z7Me67Md2++4xzxJM1+ifsbBeBjXYbnuYwcZ L+Nm/ORAHuRCPh8LTvqCF7mRHzmSJ7lKvoIzeWvy11pLNuX33YL87dCdbAkD j4X4etUcmC+3h9eacmz/8eyVmjJPue77sUnV/nzjZazMtoR/wRtwK+p9Tc7i WtQHJqt7YGzo7fMK+dyWyC1mrud9kJfgktcFi8tNEFhvhbcighG40Qq2laZw FeU8z3qj7+K+Dftl/9RxzX0VoZN6qfu86tnGpuuyDcarmbeQB7mQDzmRF7nZ CH6aPLXWwqxJOa+C25Ui9XGjcj1CjrF5dY/8tAUrl4yEu+1Y1FSr1ghFIxqO n0fd48p112sfDrn5e64eVu5Ln/VG5aPK47rWwaj9VxBqHwpF5cMRqBH72gfE cZsg5X0Z+c7i4Bs2+d6vR5Qb59PXtBFtn/ZHWUBHuZfHfBZNVYf1b+pHzhkJ UfYn+q1R6aAe6qI+6qRe6taM44ZNxM34yYE8mlQ3sMiJvMiN/OSvHcxZ+B/8 XrkVe+0/p+Zt8p/GeWxITkPBohIULCnHgciVuLjMEeXhhfjqjUQ83c4Wr3YJ g+nXa7B8SiZKHEuxISYPxyP43JW9HL/zPVvnFCJP8HdDfVwK8rxE/mNfghq3 IkTZFGKBpTtOrjQWdV1ELnEf+Yro45zoa39sIPL8E5EdqcB61/X4QuQr3POY 5Tx/TqXp3nMiR6mPOqk3WuimfsbBeBgX45NxqvMz0Rc5kAe5kA85kdfTT9ri a8GvPLxI8iRX8iVn8iZ37b+PlmP8vrskvg837p6BDaXPoKamL9KKLFG71k/k n9lwXumOL3yMoLt4InwWidzZdCoOWs5BvfV47HDuJNcTUY/fjyxqhx/tOog8 YTC2WYg8xeTenv+6+TNhM7Fp0gzsX9QZv9i3R/HUJzCpeytMe6EtDJ6YglF6 5XLPY5bzPOuxPtux/e/pXz4fJuJgPIyL8TFOdX4m11MRHMiDXMjHV3AirwE+ 4yU/ciRPciVfciZvctfOtf8vsIYG+Ruo7/JVmNDndXxjr8CMsHhxjX++WqXp xjxF09S/Of/nxDYossbDXs5j6X3lmTCu5zgj9e5zC/PEHiKXeAmKnOexcstk ONbZ4L3wlXAQ+5VbJkGR+7w8z3p3mwOxf49rngXrLXVS789C9+1+81XG2CQ5 qI18yIm8zPq8Cf/lcZJjU4N2bfsWb0246TiAnw9e3eRkdwS59EduoRPOXryM RtU1bzh9GfXPRCtzldu886qujchpHg9C+fOeqnphyrVgHlHeg5Flj4bd/r1Z N7xHS/m8mWa+on5e6+59hN5ch+o+EfVSN/Xf1oeInxzIg0Y+5EReQa79Jb8G 3OJdLbdgr7VmauJaXRT/l5u0CcULC5C3ohInA9xx1sEWFyM9McTAHR+8FQKf ycUodCpFtaIE+UElOBzug7MKB/zm4SznqZ93scPRCF+UhxUgS1GDEqdCFLkU I1/B9RSLYTejCs42U9GwdMF9zWFRPhPmgF993ZEVmoeCZX7IdMrAgHfWyj2P s0U5z7Pe/finrstCH3VSL3VTP+NgPIyL8TFOxsu4GT85kAe5kA85kdcHb4dg sKG75Eie5Eq+5EzeF5XJotZahKl+18VZ5G17G5tLX0BpfT/kptiidL0Hvg1N gOfafNis9kFJdDT2T7TGPoMpqJ42AdsVXcS4vT0OLu545fmvnU4vYMssI2w3 XnD1XcG/J1fgZjYD2ydOwzaX7ji68CnsW/Q05r31f7Ds8iC+6mSKYaPKxN5E HrOc51mP9dlu573MXbnN82GMh3ExPsapfj6M8ZMDeZAL+ZATeZGbx9oCyZE8 JVfBl5zJm9w1r4PWWqY1XVaOKTynz8c0HRNkb9mNcw3KieNNd8hTNK1RNfbY fmI/YurmwLOwp+q9xn3gXtgHtupnt+7wTJgO15eP7gZFfl84F3RHaNXXmJ88 Gu+visWCtaMQVvmVLOd51tO5i2fB2C/7dy9U5yovwUvoo07q1dR/R14aTMiJ vKbqmsFD8NPkqbX/LmuU91aasO/AAbj4DkSovzEuXVLdk2tSz92/hPpOUXK+ +O3f0RsixvzhqGJuwXUW20TcW25yx3ylw/3lK7fIP6ivVOikXuq+rU++O1nE Tw7kocmHvMjNxfcLybFJ9Typ1lq2nRfJZ+by75C/uASbolJxeqkDLnm5oH7q QigGm+GntYHYE7YOGyLWIzVmC35YFYJGl/k452yPMwonXFhqh30x0cgKqEOh oxjbO4tcxbn4ylYgjutcK2E1OxzJjiaAhxt+dbuPeywuCpxbaouNYWnI8UhG hkMOBrybJPc8ZjnPs969+qYe6qI+6qTeguviYFyMj3Ey3gvyvcxOkgN5kAv5 kBN5kRv5kSN5kiv5kjN5n9f+NNaCTPU3ouk0Nmx5B5sqnkVe+QjkpTqhZvUK bF7gh9rgPFRHZmDLmghs9VqJYjs37FS8gUPzn8JPc9rh6IL2cs34HQ7vYdOk 2dhlZoVdv/Oeiua2e8I0fDdhHr6b84XIER7FUcdOWDGsNYy7tMKI3gPw6dAa uecxy/8jzrMe67Pd7vt8Fu2m93rku5atZJyMl3EzfnIgD3IhH3Iir6qIDMmP HMmTXMmXnMmb3DWvg9Zanqmfc9q+az+sHFbiuOa5+3gutrFR+QVauzUKTmkf wqWwO1zz+155Jsw0QXk/5I73WMQ2L0vkFyV94ZHRG0siP8Mn67OxNPJzecxy nh97Bz96qvs17PfKs2CcFyN0UR91auq+p1g1+JCbleNKbN+5/xquWvvvMXkv QHxM4pJcsWz9GBw4vF113/HqM0syX+kcfed8RW7K/KKkoz8q2geg7vfmFqp8 pfZp8XdvyVPK/R/gk7qor7ijyl/bO/hT5yuCgzpfUT9LR17kRn7kSJ7ae/Qt 3xrOX0SZW4kY81dgR2Q8LjgtwrklznB7bzI2T1uEJncnnHdYgLOrXJEXVYXK iGxsDU7C91HBOBXohNLwdGQ4laOY78FyLkKJSwmKXZX3JTjOLxQby4sUldCb 44Fau4Vo8HCW89bv7ZkwZ5xXLMLuiFUoXJmAdU45GPh2ktzzeHdEnDzPeveU qwgd1ENd1Eed1FuozlVEHIxHxiXKGSfjZdyMnxzIg1zIh5zIi9zIjxzJk1zJ l5zJm9y11lJM9U7EhjPYXP0Wqmu6IqfYGOVpftjo7ov6wPXYvmApaiJ9Ubze Flk5ASit+Qo7a7/A1pSPsS/6PWxzeRa11qOwSX8y9upPxE6zqWKbjp0Ws5Sb +R/wPJbxXGxbMBj77R/DcbtOyLB4AhY9WsG494d4d2C13PM4U5TzPOuxPtv9 3ufRpH51LIxLxMc4GS/jZvzkQB7kQj7kRF41Eb6S38bANMmTXMmXnMmb3DWv g9ZanvE5DT7Xt8DeF/v27Jfv37l0+ff9aNPA+ffiMxFaHwmv8iFwK+wJl4K+ 8lks6/QX7/ieMPXzW9PX9YJ3cR8szn0ZLjUuGL6uAK61rvKY5Tx/p+fLrr4X 7EXVs2B9pR7qoj7qbPid4yXJS3Dbt3u/5Eiejdpnwv6rTLnGQRP27zsC19hX kF65XL6v6spYW52vnLqkXIe99e2fB9PMWWq4lkpXd1S2X4baNvf4DNifma9Q h9BDXdRHnXfMVdT5iohfzl85dekaPpKX+B/5kSN5yucwtWtItExTff7PHN6I EkUGcpfU4NgKTzQtUSDXaC5WDpiGBn9XnFI44MxKN1QEFqDAvhTFjiVIXVSL koQqHDuyBbv2HsX2rA3IF2P1QvcSZNnnI2+hyF34XiznUpSIsX6hGPNXupQh 0T0DFlZ2OOFkh/MeituviXLTZ8LscSpgKTJjE5HkmYRBb66Tex6znOfvKQcS G3VQD3VRH3VSL3VTP+NgPIyL8TFOxsu4GT85kAe5kA85kRe5kR85kie5ki85 kze5a14HrTVnU34JXrx8CpuqX0dVbR9kZyxC3epl2OgSiRq3ONT6B6I82wPZ a9xQXPo5NlY/j9qKnthQ3Qnbf5yCQ0eLcejb4zi0OgWbPEKwbeIc7LCwwg59 C+wYZ46dptOw22Lm78pddpvNRN20yXJOytHF7bFz/tOwfq0VTDp/ipc/r5Z7 HrOc51mP9Xff79wVVY4idQv9jEPGI+JifIyT8cq4RfzkQB7kQj7kRF7kRn7k SJ7kSr7kTN7krnkdtNayrKFB+R2XlJMDh6UBqrI/YpzddOX7M2+jJzxzuQYL 15TvC6f8PhgX3f3K2pG3m8NimijynMIX4VX8Gry3B+Gd+GIsEXvv4lfhLMp5 /k5zV9gP+2O/bvJdYH2lHupSSlWOQ3+vqbmRI3kqy7R/Q/5bjONsPuaXmDMP vgn9cf4Mnw1ruPpuBjlvqQmNFxqw6+tMVP1rBeoeu80cD42N7wKuFrlAcecl Yq88bg75ilJXqEpX2F3rYtyMf9fXWZIHuVzF1CS5kZ9fwkfi38pcXLqsvcfS Uk193X48shs59nyWJQenfZ1xzMkBDm9OwgE7e1xwFbmKvwtKg0qR61SJEsci 5NpnYkPhbnHtNd8DdxkXRTJ7+tQRbP/2ML7N2YycwBoUKHKRZVuEwsVicyxA jWsFAjxDMGe6Ky7ymbB7XSPFxRFnvV1RlhqJRK9YDHlrndzzmOWn7/U9xqJ/ 6qAe6qI+6qRe6qZ+xsF4GBfjuyjfQXH1uWFyIA9ykXwEJ/IiN/IjR/IkV/Il Z/Imd83roLXma41NyjHClhOJqCjvgIKqgSjIcscWvyBUe67BFo9gVKf7IneN AmWVg7G5phs2lr+I6ornsXH/FHGNr31nIu+snT16AicP/IyfEtKwc8Uq7Jo2 D5v1J2Gnvjl2GU9R3qNgTmBhddf5C+fM77Ccjj2K53DY5ikcdugEv4Gt8E3n D9Ht8xK55zHLeZ71dlhOu/u59jI/sVL+t9l0pU6hl7p3C/2Mg/EwLsZ3/R1E ciAPyUXwISfyIjfyI8cq8hRcyZecyZvcNa+D1lqOyTkYYox9+cJlzJrjjJ2H 9yjfg/UHvRtR6acJ3/+8FQuzTUS+0Et1j6UvJif3xJg7PBMm84yY7nDI7Y1l 5a/Ao2QuegVlwbvIGgHimOU8f7u8R95b4RqRoj/26yLzpV5SD3Up38X8x8VL fuRInuTaJN9joM3lW7qp32/9/eG9CEh+Gvt/3KR8Xdh1YwT1mutHl32Hyn8s Q1278LvPD/iO4ycDUfmCB2p+x7Nbf2S+Qh3UQ13Ud9d5joib8R9dtvUaLlc4 CW7k96PguGzd05IrtPNYWqSpvz+37jiJdS7V+C4oAfC3Q9TXVkgcMxtYqsBv SxQoDi1HrnMViu1E7uG3AT9u+x5QjUTU8wFvdvkvXL6Inw/vwva6w6hZW4xc vzrkOuai2KkU1gvCsXyKG+DhhJNuituud3/NnHhR96LCFpvjopDsF4/B/dbK /ebYKFnO83eXpyhkv+yfOqiHuqiPOqmXuqmfcVxv8jHSa+aHXpRcyIecJC/B jfzIkTzJlXzJmbzJXfM6aK35mvpduntOBKK89nHkl+qjOiEItV7xIseNRnnS ChSkKFBSMwiba3ugpuR5lG/oieOnCpRvWOT8STHW5no76vv9msaSkz8exfdF ddgbGIv6+W4iN5iF7RNEfjBuAnYYiXzAXOQj6uetbpmvTMe3FrOx2ebfOLzw MRxzfAZphg9haJ/n0G1Agtg/K49ZzvOsx/q7zG4z31/0x37ZP3VQj9Ql9FEn 9VL3r0L/jV8Dynhl3Mw1+PdDlJIL+ZATeZEb+ZFjteBJruRLzuRN7prXQWst x9TzK1yDg7AupVhV9seOF9TfoTt/+R6JG6zgWdAD7oUvyzVTdO5y3v2CrBfh Vd4HbhHv4333OLiHvwuvij6y/G7m2euo13IR/bJ/6qAeTX1/WLwqfuRJrsoy 7d+Rlm78juStsvVFRsioNlcuW4ib/Eajeq/V5V/OY0P7CFTzfcR3eY9FvmdY zr8PQElHX9S0jvxd+UrNkva/K19h/9RBPXJ+/d08B8ZNxMu4GT853PI9a4If OWbWmEuuDY1KzlprWab+fttRdgzpjsU4uWoZfpizEE5vT8YpFwec8VagNLoE ec6VyLEtQXlECY7/dlS2uWV6qn5//HXn+ZTxxUtiTH9wP7ZlbkLl+lRMc3JE zvz5ImdwxG8KO5zh+4RdVO8JvtV9F1F+RuGI4xGeSPVOwudvpMo9j1l+u3by vcvCv+xH9Md+2T91UA91UR91NuLy9QEo47rF3x01D/IhJ/IiN/IjR/IkV/Il Z/Imd83roLXma1fWijzsi/LyDsgpsEVd2Cpkua3DtxHi+zbNBQV1A1Ff0xWV pU9h604D/HRuk6rxLf6xqPPdxsZrPlf8Jr14/iJOHDiGY6UV2B4QjX2eAdhi MBlb9S2x29ASO82mKXMM+eyYRv7COSjG87Fz3kActH8URxY/g63Wj8H47Xbo /eFyuecxy3me9WR9zbkr5sqcSPoX/bA/9sv+qYN6qIv6qLPhupgYj4zrVmM0 FQ/yISfyIjfyI0fyJFfyJWfyJnfN66C1lmHK+yjAD4cPwWKWDRq5Xndjw5/y VJ96HnvptlWYl/YeXAt7idzhJZgn9bztvPsr7yBe3xtLSrgeyzcYPt9bHA+X xyy/3dwV9Tx79sP+2C/7pw5NXX+kyaGZ8EueFlY2kq/yz5P2b0lLNfW9ld1H vkVk6ss4hwssvWGNnivWoCz/NesAatoEiS1Ezme5u3wjVK6XUtrZ52qecE/v Ir6ar2z0eeL+8pVHruZN1FFzD+8tk/N22gTLuBm/Jo/rTcmvUfIkV/LV3mNp eXZlrcjUSuQuL8TlIHf4fzwVJSbzcHmZEyrjs5HtVI18h3xsrtyOy6qc9F7W ZFeuf4Xr8t6LuCR8HTv3HdzDF2KdVyjOrFqBE95uOO9jiwuKxTjj7CDXqJdr yl9/78VZgbMBi5C5OhL9X8oU+wh5zPJr5+crZHv6oT/6pX/2w/7YL/unjksy No37KFeGkfcQq4oLOZEXuZEfOZInuZIvOZM3uWvXjGwZph4nHzsYiKzK7qjM WImiJetRvWw1CjO8kVU3FHXVnVBf2Rc/HPVHo+oDfy+/4yjvUzbekN/QQ8OZ s9i/+XscWr0e9W5Bcm7Idgtr7DSciF2858G5K5xDYjkLu82sUTvbBD/YdsJP XJPS7knYD2iPXj0D5J7HLOd51mN92c5C+UyY9Cf80j/7YX/sl/1Txw0R8d6R Oke561iVXsiJvMiN/MixSPCsWp6A4iVpkjN5k7vmddBay7DGBuX1cnTzw+p8 5Vp3f8y8lRtN/b7SC2LL3JOGZSUfi/yhF2yy+8h3e90u35DPcq15EW7FL8C7 1BCO0+ZgSZkh3IpekOW3e6ZMT/WOMfbD/tgv+78gn0W5zXjzd5qaI7mSL03N W2stz+T9d7FPKByK0vJImX/eMddV5yzZImdpG4yqVivkGiZyPsvdjP1Fncou HihvtxK19zKXhb5FflLdPgCpLr3lXpmv3MO9FdEf+2X/d6tVxiXiY5yM99fs g9dwuJWRI3mSK/k2QXuPpcWZvMRnUJWUiZ1BKaifNRse701DQ4AjtiQkIdu+ CPkBxTh48ByUL6j4/b/fKJ+hujq2/3nfTujPXYwkvzQUhVfj26B12B6xGidD PXFyqQsueoscw8lWuaaKyDtOuTnjVzdXXF4yHwVrnfDmx1lyz2OW8zzrsT7b sT390B/90j/7YX/sl/1LXY0qXX9AfEqujZIb+ZEjeZIr+ZLzzuAUyZ38tVOI m7/JtSLFtd24ZyKKSgajODYDWT4ZqFkfgvTaUair7ISq+rdw7GyJqkHjlbV2 769Djc/SdfkLf3U7c/QEjv/wEw5ErsaGxUux3WymvP+xQ28CdhhOwg7LGfjR 6VkcWNQBJxyfQrR+Zzzwkp/c85jlPM96sr5ox/b0Q3/0S//s58IN2hqv1Xff IV7NzciN/MiRPGtSQyRfci4qHSS5X2q6/Rp7Wmtepr5vXL1pK5xdV+Bi04U/ /V1W6tzg/NmDCM4ygnNeX3m/wyzh9vdYeM5odU84FnRDRMUIeM6cKfc8Zvmt 5tqr763QP/thf+yX/Wvq+bOMPMmVfMlZlmnv17c4k898icu260g61m8YgLMX 5KT6u/r0qOdsnFj1PbZ9kiKfkZJ5i+p+S90T4ao15UNvyAs4r71SlBU/u0TO IbnlOvI329qEo6ZdIEp1h8t9bZt7mHfysHLOCvtl/zfMr9fQS/3yvpGIh3Ex PsZ5YtW+a+K/PV9InuRKvrt+Slf+DbvZs3Zaa57WBPk+xLy0ehyICIL7a5bY tXABDq6NwnqnUjGe3okzZ/6jrPonDBMaVL8dbNm0E4ZT/JDrF4EMrzTkLC1D nkcNyiJK8V3gGuyJicKpAA/85qvAJfeFOKuwxXlnO2xZY4WPh8XIPY9ZzvOs x/psx/b0Q3/0S//sh/2xX00df6SpeZEfOZInuZIvOZM3uV9CozZfafamXivy PNK2vYPC4vnIC6pEZWIyUssNUVz+CHbutRTjBuUaIX/KPQB57+XGuS/8r4uX G3Fi3xH8kF+NH0MT8KNXIOpNZ6BuQT8cnfMwfln0JEqsO6D9SD255zHLeZ71 WJ/t2J5+6O/aj+TVOSi3fMbrd4Wm5EV+5EieqeUGqEhcJzhXSd7kTv5Xo9Za czd+XrgGgpHVbBw8oPw78lfM1VM/57Hz+PdQFM+Ab3k/zM3sddt7LHLdyKju Ij/phaV5b8PB0kDs35HHLL/V/BX1vRX6Zz/sj/1q6vhzY1XyJF9yblB9T2it 5ZjyN9JGnDx7ESFh72PHyRpZfk+fH/U1F7tfcw5gx7B01LUPF+P75ahstUyu UcL3/irf/Rt+dWMu8Fgkqp8JRGU3T9Q8Gn713swjV+9pqHMGuVdvj0ai7qkV 2KD7tdzLY83zV/zf6I/9sD/2y/6v1Fdtaq3UTf2Mg/Ewrl9zDl79E3APn3U1 T/IlZ/KWd/i1z7e0GDt7AShI34cUw3mI/Woy/pMci1TXSuyqqL3y6/CfeT3V 72Gs3rAL8yavQuXytchYFoZcn1hkLUlChmspCn1zkeNbgaqYHGwJTMWB2FD8 6r0Mh5bPxmAr5Z7HLOd51mN9tmN7+qE/+qV/9sP+NPv/M0zNjT2QJ7mSLzmT N7mfveHHa601P1OtFdl4GuV730feGvG5XLUJWUXmqKvrgb1HVvCpPlXVv+j3 GvXcl6brMwtaIw7v+AV7Mp2wK/pNHFb0xG777vhq4btyz2OW8zzrAdfnJ7f2 /6eZihs5kie5ZhVPQEb8Jsmb3MlfM0qtNV9TP8eSllkIlxUR8r8b/sJxtPpZ j6MndmFF9kB4lfTGhDvcY2FOsjC3FxQ5r+EbRye5X5jT6/a5ivBHv/TPftif Zv9/ham5kjN50/6MOTNa+3OssfGyfJypZJsP0vInobHhPn/zum6++aWfz+En r804aFuLjV1isaFDJDZ0jBLj/+WqbZlqC5D3LUrb+KCorbf47yDUqnIF5gw8 d7Wu5haI6of8UDNimNzz+Gb15LNbKn+10l+Q7If9KX0HaNRXaqNO6qVu6mcc jOdWsd41IsGVfNMKJkneDU1K/lprGXZJfATKIzLh8dF4bPINQ0F4BQ4f/g2q BYr+ktxTmTM0wmtJOhwtClHrVY4ct1xkLV+NIu9VyFwWjZSwIKT7xSLNbz1y /dcgOzQTFckKjJ5tIvbO8pjlPM96rM92bE8/OW450i/9sx/291e8s/7qmK9R ci2IqJCcyZvcL527owut/e2mmovSeAQltSbIS/4JpTnzULT5Dfx8rlxV5Y9Z W+G+Farnvsj5L8qxyq/YhMoN/bC7tj/qS79ETuoAuecxy3le2bhBOUf+Hueg /AlRXLkxSa7kW5o7T/Imd/K/Uk9rzdbUn8XfzpzH3HleOH767N/y2WqU61ic QfyGEMzLfl/kIj0wNqL7TfMV9Zx76/QecC54C+9ErpV7K3F8q7n2Ml8R/uiX /tkP+/ur5/GqeZMzeZP73/9vWWt3Y8o1QhpxFscRV9MPF8S+6XZz7O/Gp8Ya JGprPH0JDacu4vKx8zjkWI8fzEtx2GUjDjvX45CiXvx3PbZ+kY5tusnYo5+H uqfCsPG5GLEPx67h2bKust5G1SbaOWzEjkGp+G6RsdzzmOXqOur6u4ZnST9K f2HSP/thf9IP6zkr61IX9VEn9VL3dcCU8d0vGxXvCyreZ/8A3lr7K0yZoDY2 /QzPCW4INndHdflRnDt+WHn2L7x8/F5t4PpHjRfg4LwaMXOyUOMhxisOYnOq RIFzOQrd8lHsnoVS13QUOWeg3DkHa13j0f+LyXLPY5bzPOuxPtuxPf3QH/3S P/thf3/l97m6K/KtrjgqeZM7+d/3jwVa+0tNjMCwZ3MdCrKX47vDprjU+Jss b35zwJXPhDRevoDNdf1QU94V9dU9sHfTv+WexyzneeWzI83rs6fmSb7kTN7k Tv5aa/6mnj/hHhqB9AzV7/1/w3qG6jHIRbHL270eweX9YZ70AsaG3piz6EWI fCW0G2Ykd5d5ynsxKXLPY5bz/I33VrpLf/RL/xebru33rzQ1X/Imd1mmfS6s 2Zu8Dyf+l5E/GcU7vOVbSf+w3/s5tuezvZfv/d/e5V/FGIk5zq83ruVwTb0L Z1GYbCb3tzP6oT/6vVe7EsMf9HEmXxImb3KXU4e0c++btanf3755SwGsTRZh 1x7mKcqyv+NnmSaVnv/s3QVTowist6tAmVsRCp2LUCy2IkWJ2ErFVibKSlHq Uo71TgUYMMxa7nnMcp5X1iuR7diefuiPfulfs7+/NMYrXBslb3Inf1nyN+jR 2r1YEy6fb8TOLVX45Wz21a/OZvk9p5pv03QOxVs/x8aybthQ9RI2Vb0n9zxm Oc9r1m9Wpn4XodjIm9zJv1lq1doVU/8G9PPBw5hsN+dvn0+hfj/DhfNH4Jdt gkX5r0A3sust59xbJHaDQ8GbeF/kK9zz+Jbr2gs/9Ee/9K/Z398Sq2q+ELmT v1KP9t9LczX1fbitv1QhIvijP3c+RdPVTY7/ORfyUqNyu9x47Zz1m/SvWU+5 NcjjSxdOIyfeSO6V5xtu7fcm/m/wS13q3ORP+ilNc74QuZM/Tft+4+ZrV36P WZOLyo3fKsuuWwfiL9ekGrNv2LQTUyclooJzV5yLUXTdxrJS1xJk2hViwPtx cs/jW9WlH/rboJpf/7fmBvL9zsr+yZ38paa/4fdHrd2bnT71Gy5cOqlR0nzH ArxHQXUHDi5FTWl71Fe9LPKVt+WexyxvQnO8N6RpV/mSO/lrrXmbcixwHkHp Maj9/kdZ9nf/zK8eh2z+eS8cs8dgdnofjLrJPRMdUWa4qits897Eh7Epcs9j ndAb78WwPf3QH/1q9vN3mZozuZM/r4M2X2m+xt/0z4sUJat0BvYeS/3731fV dN1/3zZfUJ64dP40clePl/sbndzB39/40VS/j43cs0pmyuugvcfS/K1JNU5u Lu8Uabis/MykpxRgrlECNnhVokBRdNN8JYP5yjsJcn+zfIXt2J5+6E/T/99t at5N2jyl5VkLGAOo85A9J6JQXtEJGytfQn3lW3LPY5Zr1mvW1gJ4a03TGnGm 6fbPkfzVpr7vUVrvD/e0j2AQ97zIQ7pfm6+EdYN+VBcszhH5SlyK3POY5dfm Nd1le/qhP03/zcWU/JuXJq3daPzp8vz5Znyf+5amylcuqPKVCy3xXSiq5xAE f+3jLS3HmtVvMHIui/jwXDwHJ680eE3OQp1nGfIVt8hX3l1903yF9dmO7emH /qTfZhRrs+Kutf8yU362Llw+iY01r6Guohc2iHyFex6zXLOe1rT2R1tz+35T 3/+I2RyJeXlDMDbieeiFX81ZdMR/60V0weysN9B/VYrc81hHow7rsx3b04+m 3+ZizY271u5szS3fvbP9N+QrLZG71pqb8ftWvjGs6QIcndcgfm4uqj1KUaC4 u3yF9Vif7diefhqh/R7X2v+Sqf6e4Dwqt/XHhrLu2FD1ttzz+JJ2LROt/Y+Z fDdQk/Ld3XkbPTA1vrd8V/HVnEXkIuFdMCXtdXwi8hXueayrOs96rM92bK98 nlL7biGt/V5riZ+f/458RWktUbPWmpOp53P8uHsvDA3jkGVfLnISZa5yu3xF ea5Y1mc7ttf0pzWt/a+Yeg7LoQM+qCnpgPrqD+T+0EGfFjB3RWta++NNmVs0 4vAvW2CTaYKRUS9AN0zj3klYF0xKfh2fJqTKPY+v5DOiHuuzHdtD+x5Urf3P 2n9TvqI1rf1+U7+PsXbTDsyZkoRqt9K7yldYj/XZTtOP1rT2v2RX5rD8xx/l Ze2xseJdlIk9jzXPa01r/0umXhN+54n98Cu1EvnIc9CL6CE2ka+EdoF54mv4 OCFF7nnMcnle1GN9ttP0ozWt/e+ZNl/Rmtaut8uq+fFJ68owb/w61HlVIF9R dNN8heU8z3qsr9lea1r7X7Mm1XzbQ6c3oaayLzaUvSL3PNY8rzWt/a+Zev33 2u3RMIx+B2NCn5U5iY7ITwxXv4r341PkXkfmKz3kedZjfc32WtPa/6Zp8xWt ae0GU82/b7pwFk5e6Qi0ykaNRymKXIqvyVd4zHKed/JMl/Wb2/x6rWntrzXl Z78RF1G5+XXUlbz4/+x9BWCVR9p19/u+dalsqbtsDWq0QHELCfEEd4cQBwKB uLu7h0AUEhKCFSd40aAtFHd3j5x/ztx7w4UChRbJ/szZfTvMzDOPnLm5d553 XpEl6/r9CgpPI6prasArJhPXZWNQUTv0yOK1X2+je14jfJNXJkvW2c5+ylG+ Wj1MSOGph8pXFBTuBN198lU3LsJ5RAqK3SuwOrQCMzw1+QpL1tk+SvRXVV28 ZZyCwtMJzbX613EDlbucsGZhA1myrnnWqfr7UHi6oXs+UNHKMHRLfRu9st5E 14mN0HhSqSxZZ3vRylA9efV3o/C0Q+UrCgp3g+5dlts2bkf//kWoCFyOOd6L 0F7kKyxZZzv79d/JqKDwNKO29oYsDx5PxcKF/ytL/XYFhacZPKfF/+05tQ19 iwejW/Z76Jr1GRpmlcqSdbazX/N8MbUeU1BQ+YqCwr2hu29+9YatGD8sH0v8 l4p8RVOyznZ9OQWFpx26e1SOXl6NFSsayVK/XUHhaUe19r3WS3fOxojUb9Fz YiO8lTpFlqyzXV9OQUFB5SsKCr8GeU8KrzmOKYVTv5no3naaLFlne7V6brGC gh40vx+11ZexenNzWeq3KygoaN/5WHsdJWviYZDeAQ2ypsuSdbbXt3dCKig8 WdzMV+ZPHaTyFQWFO4D78dXcP6m9Br/Qcrz/WoYsWWe72q9XUNCH9t6v2qv4 8WKhLPXbFRQUNO9l4c8KsxLf+XH4s72/KOO17y3WvbdFQUFBA22+cvU8vk+3 lKV+u4KCgga6nOTa1SsY0T9KlvrtCgoKCgoKDwLdvfcnz+6AQ7w9TpzdeUu7 goKCDtpnT1Zdw/7102Sp366goHArmJ7UiFxFpSkKCr+OWnX9vYLCr4I/J4cu rVB7KgoKCgoKCgoKCgoKCgoK/8WoVe9OVVC4P6hTYAoKCgoKDxHqGjAFBQUF BQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUF BQUFBQUFBQUFBQUFBQUFBQUFhd8L9YAwBQUFBQUFBYXHDbUCU1BQUFBQUFBQ UFBQUFD478aNmitP2gUFhf8SqDNhCgr3Av9CasV/rt6olaX6i1FQuDv4N3Kp mn8r6i9FQeGO0P5tXL14FqV27WWp366goKCgoPBg0Px+VNVeRfYGP1nqtyso KGhQC02Ocq36OkKXRuN69TVZr1V/KwoKt6C2pkqWO1ZmIPPbZ2Sp366goHA7 asVvymWotZeCwi/BdVZNTTXOXruBskUZSPZ7A2WLM2Sd7WodpqBwEzU1NbJM WDUZA4Z9KUv9dgUFBUKTw1+/fhHT/PrBr+unsmRd85uiflcUFG5Ce85Y5Cor t/nIUr9dQUEBqBY5CbFgw0JE2w2Er+UXsmRdv19B4WlHba3mb+HQwU2YENET Pft+gfGiZF2/X0HhaUctz3WJpdaJrdMxyWg4IrobYlLn4bIurzdWvysKCr9A dfVVbNqZKksFBYWbqKnVnBPedmwnJmUMw0SzfnD70gTZomSd7fpyCgpPK2q1 fwNHDv+IsEQ7JPY1gmvn5qLsLOts15dTUHiqIfcbq7CnxBMTG0ci3bGpLFln O9R+pIJCHXS7KJerriJ8fa4s9dsVFJ5uaK4Dq669gYJSTxSPGoDClq2Q2dhC lqyznf018lyY+stReFqhuWflyqUz2LVrKdLD3ZDT4V2M7tBPlqyznf2a++/V 34rCUwxtzn7h3EpUDHTGrI8no3DCl7Jkne36cgoKTzt0z225fO0aRsbbyVK/ XUHhaQbPA/MvIWtWAlJjLLHIbDBKDD9CcYc2KBYl62zPFP21UOeNFZ5iaH8z Dh3cjIWrpyDdujuWf/kuxncYKkvW2c5+fXkFhacSNTXgr8WeMg/MaZGERc0z UTT2G1myzvYarZyCggLqcvczxzcjo/crstRvV1B4WsHcg38FWw9sRmyoCQpD RqLiExMUWDRCrlE7WbLOdvZTrgYqZ1F4+iD/VkT+sWfXWpw4uA5ZqfGY+t2n yG7/OTzaDJIl62xnP+Uor/5WFJ5G6M6Dndi3BdtdbTH/o2JUtktF7uhvZMk6 29mvzoMpKGigu+Z+w76l8Ov5vCz12xUUnkbIZ7OIv4GrNTcQFj8Y2fHdUD5w KFa+2woTvzNETgczWbLOdvZTjvKQv0Xq3LHC0wHdZ/3ixdPYvX8bDl3Yj9g+ jtj0/hvI/9ASY1rZyJJ1trOfcpTXH6+g8LSgtlpzH/2xVfHYYhmM8kZT8LNR OiY6NZYl62xnv768gsLTjBrt8ydmL5qM0Z3+Jkv9dgWFpxG681+FcxOQGtwJ +ZE2WPKNKRZ/2gY5TSxQ0tZKlqyznf2Uo7w6H6bwNIGf9es3bqByyxJZL5qe g7KP22Fmu5cw/5XucG9qK0vW2c5+gvIcp/5WFJ4uaO7dulFzAjuiHLC9+RTM azgJh8yykO7QWJass539lIN6trGCAngBS634z6x4cwS1+pMsWYf6CVF4SqFb P207WImYQDOkc29l5FAsf78N5n3bGsG9W6G4lbUsWWc7+ylHeY7T16Og8P8r dJ/x4yd248q1KzhyZi8SRozA+lebYGnjdzH7rd7wazpYlqyznf2UozzH6etR UPg9kM8HFod8J5bumQ51z3bQO57k0l++rws4sDELP/fyw6qmU7GkyWQcFXlK mshXWLLOdvZTrlY77omhVvcffQ41JXmu0fKunr+s8EghPnJXRBER0BUhRn9H pCivaNsVFB4V5DO3xFHF35Y7/J7c/N/jhXwvpPDn3I2rCE8cgdQgI0yKG4q5 bbpg5YetMbtpSwwbYIiCZr1lyTrb2U85ynMcx9c8gfd567N3O6f0p0rLu9o/ /e8B503zWbr1FvXa2id91lWzVrl44RQO7dkg6tUoKE9C6dfWWNDoY8xq/gGm vj4UAc0GypJ1trOfcpTnOI5/ks8Lq/sLuQO3Ou4V/rtx5xkUOXJ1FV/moMkh 9HMd3uNee5dc5yHgyuWL2BRph2Od87Hw8xxsblGAIyaZSLdvLEvW2c5+ylH+ 4eAOOQe/W3jvv37OwYO8kJ87nLxWfxEKjxu6c1qnT21DQo+X4dnnfSSKknX9 fgWFJ4ka7W+I7qi+5ajRW+v8/lxHt45fsbEE8f6dkZHQFVPG2WDJR+2wrGE7 LP6yNfyajcDEZgNkyTrb2U85ynMcx+vrexDcLedgnIxXP/7buVF4elFdw/Oc Nz/1/LemreZmbnOHNflvhe73Yf+BSly6eAbXaq8g2ssVP7zUDj98/j7mftAc Jf8YC/+WfWXJOtvZTznKcxzH6+v7Tb7cJTaWNfJv5s7cKPz/g2rx8dm9sgA/ bs3B2rVlOLFfrGNqjgM3jooPwjEhcULknudwveoqLl+qxY37nP47Zyl3z3U0 6/477+3UijFsOlI5A1sGjsERg+mY/nkmDnQowK5uuchy/VqWrLOd/VJOyMvP tMwf7rDHUVOrZ/vXc44HybzIE/kib+SPPEo+yavglzyTb/JO/qvVslHhEUC+ k1t83pdvnYcUw38jZHgTWbIOuTZS6x+Fhwfd9+M1sX5YvGkuiirLkbJhFioP 7sCN6vO4ceOs+Io9Jz5353Gt+hIu3riKC9d/72ew9t65jv7+g/bv4cfju5AY 2wOpIebIShyA+UY9sew/LbG0YQdUNG6NkvdGYtI3Q2TJOtvZTznKcxzHUw+0 e+X6Wci9co7fe+aKfJE38kceySd5Jb/kmXyTd/J/TfucTLVqq5/QnddfvH03 Fm/9GcfPnMeh4+dw6bLmmfPHT17AsdPiEO2/dxartWt63XPsdet5tt9pb6dG +9n5efdGHNqveabk0q2LkNu6Cza88h3K2ryN9e81x7y/j4Z3q36yZJ3t7Kcc 5QmOpx59vcCtexzVt+Ucmtxd0/77UCv5I4/kkyC/5Jl8k3fyD0Dts9RbaD6f VdUXMWPCO5gypCUqRzvjoKMDztqPwbEhntg52hero8bg+5xhmF0wBItj7HBo chhuzMvAlTlZOL86Gwd+zMDWXdnYsKUY21dVoPaGWJNXi3ynWqzLIcraM+J7 9DIuX6nimxwfwLtftuyZPgF7jVOxt20+yr6aiDl2q7BkeDlGhZvKknW2s59y lL9d04N8Gukv/ab/jEPGw7hEfIyT8TJuxk8eyAd5IT/kiXyRN/JHHskneSW/ 5Jl8k3fyz3mofWAPFZ4U/lued1Itcm9+jqdnZGBK43cQ5DQcU0XJepW2/78B /y18P+3QzdP5K+fhXjgY7pNGoL/HaPgGj0NsoCfCfP3gGRYAuzRP9Msfh14F LrCb5ImK1VOxankJli8rxaJ1pSjfNg15P5Uia/MsFK5fiivXz6CqSuQ51SLf qTmH6zUXcbn6Ks5evf7At2HRw0ll/kj0NkZarCWmeQ3D0k/bo6JRG6z+tA0S 2xqj8LOhKP26vyxZZzv7KUd5juN46nnQTyb9pd/0n3EwHsbF+Bgn42XcjJ88 kA/yQn7IE/kib+SPPJJP8kp+fQTPAwTfHoJ38s950J8XhfoD3Tr9wuUbcCjJ ht+CNCxcvxNFczfg5z0npMzshdswY9k2lC1bh8xZC1C+fAtmL9kmPi818phT sV22zVy1DodOnvnFmvzoyfNyrX6j6kFWX/pOVmPjhtmousF10EWkRHhi6Wtt sf7tJpj3zXuY8bExZj/nBL8W/WTJOtvZTznKcxzHUw/1/RbQf8bBeG7P5Rg3 4ycP5EPHDXliG3kjf+SRfBLklzyTb/JO/jkPurxNoZ5Be171eGU61g7wRkY3 K+ztMBUn2pbhUNsSHGxXhj3tpmN3x2LsNcrFQZNMHLNIxnGjGBxpE42fW2Vg g0kKlvUPRIW9C35wssWOkSNxxnEMTg0TeYWdPzYGjceCzJGYyTV78nDsnxqC G4vScXVWJi4unYhjmzPw08+ZqNxRiI3LZ+PU7h2aXOfGEeEZ93ZOiXX8OVy+ Xo3Dh1dgvf04HG27CJXf5SLVZAm2d1+BIx1z0cV1sCxZZzv7KUd5juN46qE+ qZf6hR3ao13apx/0h37RP/pJf+k3/WccjIdxMT7GyXgZN+MnD+SDvJAf8kS+ yBv5I4/kk7ySX/JMvsk7+ec86M+LgsLvhe482pyt+fB3MkCM9Rt4f6CbKF+X dbbryyko/F7orleas7EEdr5eSN/pgKDAGAQOy4SvfTK87VLhbpcGN4dkeDjF w2dUNAJGR8DDNgDuIwIwangYhjmGos8Eb/TyE2tv/1Fw8nFGTIgnIn194BcY iDFJ3hg8aTz6Fo1FrywXpM5IxKqVItepmIaKH0oxe3MJin6ahuxtM1BQuQiX b5wR651zYs10Wny9nsdPR1cgPqozEiOskJDYHyVdhmHJe+2wuKEhNn7QHl4t +iD2ayfM+by3LFlnO/spR3mO43jqoT7qpX7aoT3apX36QX/oF/2jn/SXftN/ xsF4GBfjY5yMl3EzfvJAPsgL+SFP5Iu8kT/ySD7JK/kNEDyT7wzBO/mf8zuu WVN4tNB9767ctgubDuxC3Ak/7D/3013lz126rMlHTl2UY3kc067Z1/64E+Ur NmDG8m2Yo12T7xJr8uJ5m0R7Jeavq5Rl8fxNdbnQHG0uxHEcL/dxhD7NvbU1 OCbsbN+zGcfPHsLVGxeEn7OQYdULOxo0x/eff401X7yBhc/2xfd/cYFfyx6y ZJ3t7Kcc5TmO46mH+qi3RnuN5y/8X3bTf/pJf2/xX8SzS9//5Xf2nwd5Yht5 uxsOCL7jBe+bDu7CKjEP+vOiUF+gmY+qmhPYHG6DY23nYL7VeOR37YuTRmU4 0nkSjoo19jGjyeLIwzHDAhztVIgjBlNw2HCq6C/Gsc5TcMJwCk51KMGpdqU4 Kdbhx9uX4bBYix8S9X1ty7G7wzTsEWP3G2fjqHmqGBMr8ohI7GuZgs0d07Gy ZwSWjHTDCmcHbLYbgaO2jjhjMxYHh/lim4cXliY5YFbeYMzNssWPUR2x3X0g zvb0QMkAd2QFBWO/lyO+93RFr+A+smSd7eynHOU5juOph/qol/pph/Zol/bp B/2hX/SPfkp/hd/0n3EwHsbF+Bgn42XcjJ88kA/yQn4kT4Iv8kb+JI+CT/JK fslzfpd+mG85XvLPeaiqOXHL/CjUT1yruYLDV3bJ95fU1++2Wu1Z55+ObcCU 1VHI6f4iPEzfxVv2kaJ8T9anrI6U/fry9Q3yt1PwTL7Ju0L9he7M5OXqc5iQ Oh7jhmYgMNcLMauHYoJnOILtkxA4Kh5BzgkIdk5EkJOoOyYhwDFZtKUiaFQq gkelINQ5BeGOaYiwT0e4fQZCHdLhZ5sCH7sUeDDXsU+Bu2MCvJxjEDAmCj6O wfCw8cfY4aGwsQ1Dv3F+6Ok9AX0DRsPOzxmRYZ6ICfBCiE8AnOMDMHBOWzjN bQSbBZ8gsMQYJQaNUfHtJ1jW/CMsNPoAk8yaI65JX5S1GChL1tnOfspRnuM4 nnqoj3qpn3Zoj3Zpn37QH/pF/+gn/aXf9J9xMB7GxfgYJ+Nl3DJ+wQP5IC/k hzyRL/JG/iSPgk/yGuyQJHmOWTVE8k7+OQ+X5bk6tcdSn6CbiQuXr2LuGs11 UjN2TIPjlP7Y9dNaVMlr4Gt+cY3Ub4Vuf+LIHfYnDmv3J2asuLk/UVNdjdnL d8KtcByCpo5EaKnI2yN9kfFlFyx8wxCFjT9HUqvmKPzQFlkve8K/zSBZsi7b RT/l0oW8pxjH8dRDfdRL/br9Idql/cN32B868nv3h7TQv/aNvJJf8uxY1B8z fpomZTgPnA9C/aXUI2jPtRzelIqtXYNwvKPIMTpPQ2Y3E6yyDsZpgxIcFuvr I4b59zwOG+VLucOdeXAdziNPk+t0Zq4jSiGnyXWKcKSTWMMbFeOoWNMfN5qC kx2Lcaq9WOuLNf8JsfY/0n6ayAVKsL/ddOwRbbs7FWF/pzzs7h+GHR7DcNww G8es0+DaayG+t0nDKnc3fB8yFL0SWuP70KGauo2mn3KU5ziOl3qEPuqlftqh PdqlffpBf+gX/aOf0l/htybnyNfE01mXc+TJeA/LI0/Dg9G9+dJwlif5Jc/k m7yTf84D50N/fhTqH7iur6mtxqbzS3Cl5nxda/2Cxp9rVZcRu3AE/JLbIs7i VXibvo/XRsfJMlbUfdku+imnP67+QOPPlerzkm/yXl/zKoWb5/BnbS6GrYs3 wmwz4R4UAq8ZgzAufwRcJkSJNXUy/MX6OsAp8a6HPw/nRCknZbke1x5BusNJ k+/ItbtTym25TioixJqf631druMrciUvm2zY+/ohLsYaSeFdkJpmhdkj+mD1 J1+j4qsWmP1lO0xs2wxBxgaI6+uP/JxAWbLOdvZTjvIcx/HUQ33US/20o8s5 aJ9+0B/9nIP+yhzNKUkThzYmXYwB2rg1h4aPe/LF/E/w6uIWhbGCZ/LtHhwi +ec8cD7050fhyUN3nmvVtp+x6/BRVIv6oeM7MHiqI+K/jwVn6vb3+f7aM64e 2v0fWgMXTu/CtSvHcOX6JWw/tg0J/Wyx5t/fYdHbHTGz/cdY2LQZkhvZIMMw HRNywmXJOtvZTznKx4txHE891Ee9+nbuFw96/83dnq1GXslv/NxYDCl2lLyT f84D50PHnUJ9gGYebtScxOYwOxxoVyzW25PFGnoaVloFIaNnZ7FWLxVr9dxf XXv/nuOw4a25Tl2+I3KBozLXmazJeVqXY6PLBGwdEo0THQuxdHAJIrtk45x5 CM6ZROOwZQh6xhvI8pxptGxnP+Uoz3EcTz3HtHqp/4hRrl6+oZdzPMKY5UFe Bb/keaV1oOSd/HMeOB+cF/15UqifqMJlrDpdhqqaqnp33lLzO1eLH3aXY8v5 zcgL74ZYgz/Dy+wjvOKeKcsYUc+L6Cb7f9hTLuXr2/vuySv5lTzj7nv6Ck8e dXsrVecxNnUCvOy5Z5IIH7GW9ps0AmGZPREd6wT7sXEI4Z7Kr+Qsv/W4U67D I0S0u7skIjiuDyaHdkVymDnyIodjYRNLLP1Y5CGfG2DVRy2w4mNreNqkwtMj G35pg2TJOtvZTznKcxzHUw/1US/1007Ab8g5fvPB2ASf5DU61hHhmT0k3z4y B0qU88D54Lzoz5PCk4P+3sq8dZs1zxplu8gns+fGYXjqSJw/uEdvph7OnN3P 87V0uc3pM8ewakUZdD8JxTOzUP5pR2x+tQU2vCfykSavYPXrnZBhmolsx3D0 zh4mS9bZzn7KUX6GGMfx0qbQR73UT9zMsR7N881+yYDmv+cP7JE8Z82N1zxr SWuM86H2WOoRtOdYDm1Kwza5tzJNrJ+5l5KLE4bTkdu1NxabeeNUp1Kxdv/1 PZZHcRztJHKZTkVyb2Nnj1T8ENILB6zicLpvCPIds7GgTQDOdg/GiS6h2NXT Dz2C28nyhHWobGc/5SjPcRxPPdRHvdT/JOIin+SV/JJn8k3eyT/nYWvXQBwU 86I/Twr1D7rf/A3nKnD46q5b2p48NH6cu3wU83YW4ODpnxHf402EmLwMb5MP 8ILIV1iyznb2U47y+uOfNHR8kl/yrN+mUP+gO3c/Y3MJ7Fy8xRo6DUFOCXAX a+bQ6Anwj+iK2NCBiIpxgItzKoIdud5+NDnLndb0AfZpGBfojtRoM6QFd0dq QhdMdxiGiv+0wdIv22P5hy0xrbUVCsLGwDfMH4FjAuCdMlKWrLOd/ZSjPMdx PPVIfUIv9dPOo8rFfnkkSB7JJ3klv/6RXSTf7vJ6uwQ5D5wPzov+PCk8Odzc W9mJXYeP38z1r17Erh3rMCreDvmzJqPm4gVcv35VN+jx+Cbf0VCDtetm4fzp w7LtwJHNSHAYifUi91j/ZhssfvtLzGzdFN+Pc0SOcxAShnmib4adLFlnO/sp R/l1YhzHUw9BvdQvc5Tf/eyv+w1Mwx/5JK/klzzv2rlO8i5FUCvng/OiGaJ+ b54sNLtjN6pPYXOYrTynf7Rzbt1+xwmxlt/eOQspPQ2w2yQXxzoVPMb1fJ7I IwqEH4U4KGwfsErBYfNkbPfqjR3jhuJc5wjsdEzGpL6p2NDBF6e7h4r8JAz7 evvBZsK3sjxhFSbb2U85ynMcx1MP9VEv9dPOURnf48vJyCd5Jb/kmXzr9nM4 D5o9Fls5Pw/29GSFxwndrFypvoAZB2eguvZ6vdmbqKnVPC9146EKbDu7AeXT /RFl8meEm76OIOMP0XSEvyxZZzv7KUd5zR5L/VjPyD17wetMwS95JtRfQ/2E br11qeo8XFMmwNsuGYHO2jzBLh3uwROQFzEU4S7tURI6FD4Rw+DmkIUgx8TH sranHTeXJATG9EZ2mDVSQi2QkzAEszr2wMqPWmDRh21Q0XUgJscMxcikYeiR PA5hrmEiXxkuS9bZzn7KUZ7jOJ56qI96qZ92ZFyPIQeTcQkeyWdJ6BCEuXRA XuRQyTd511xHlyjng/NySe2xPHHomL94RbO3UqvdW9E943fX7tXYt3EVnHws ceHQDuzduQxXLp7RjH3kvzGaNcfFS2exaf33de99mLtuHiY3M8PWV5pizfOt Mb9vBySnWCHWt6/IUfyQYuODPpm2smSd7eynHOU5juOpR/c+CeqnncexztHx Rh7J54VDP0l+yTP5JmTuBE2Ownnh/OgYUXhCqNtbScfWbv441rH0lvtUDhlO xulOMzCt+1BM6zZE/vuwaHvUecoRsY4/JPKHA6Y5OGidgKPdwnCiaxCOdA/C lqhOONQjGCe7BGO52yTMbBeMPUaBONkjBKfMQvHTmBD0ym0nymBZZzv7KUd5 juN46qE+6qV+2qE92j3yGPKWwzpuBa/kl/8+pMct54HzwXnh/OjPl0L9gy4/ mX94PmbtXyj/XV1PchZi+b4FOH7tJNLHtUS04bPw7/wSUnq0Q9OJP8iSdbaz n3KUry/Q8ThT+ER+ifqSDyr8EnV7K5uKYefihRDHdM11UGJdzXvAR7lGISd2 GFJcjBHpaIo50UMRFDkEXk4ZCHzUOYvcW0nFuAAvJMWYIDOkB1JiLVHsNhLL 3+d7VQyQZTcSeUmDkB5pAF+/MTDPHA9f1wj4pwyVpayLdvZTjvIcx/HUQ33U S/20Q3uPOibyRv7I4/eCz0gHUyS7mEieyTd511wblyDng/PC+dGfL4XHD905 +9XbdmK33FvRO48vyss3ruDiieOIDBqChNgxuLZxC7ZvLMPVS2duGf+InJPF 2eN7cE1r73rtJSSFBeKHBk2w/o22yO81ElOSOyLftyXSnO2QOigUySO90SfD Vpass539Uk7IcxzHUw/1EdRPO/p2H01IGt3kjzySz4RYF0QIfskz+dbZ1+WO nJfVao/lCUOTx17j3krkSBxoPxVH73BPPfcA9pjkIa27IbZ1zrhlD+BR5SkH zSbiUNdYHO3Ka7yCcFzkFCdNY7Fj9Ei5L3K6czR2Do3BAoeJmN3SG4etQ3Gs awjOWQRj1YgYjFrwNVbZxIh6iGxnP+Uoz3EcL/dphD7qpX7aoT3alfYfYd6i 27sin2ndDCW/d9q74nxwXjg/19QeS72G7jrba9XX4FIRjb0XfpIX5z7J7zfd O8APn92On08tx4rt0xFn8S/EW7+CEIMXEWTaArZr98qSdbazn3KU5zh59vVJ xyB43Hv+R4xeHIXrgt+Hew2zwsPEzb2VCxibOr7uvhX9vQ0v5yR4Jg1B2QQb hIz4BnnDbZGR3BX+Yq3t45ym3Wd5VHsrCfAYnQz/mP7IDrdEcog1cpL6Y37H rpjzRWfM9bFHcmIPJAebICbaHG6xzhgW7Q53l3gEpg+S5dAYd9nOfspRnuM4 nnqoj3qpn3Zoj3YfTa6i4ZS8kb+M5G7IHz4SYcMao3TCSMkz+dbf47l5H8t4 OU/686bw+HBzb+UK5q3dcsfvtWvXLuPMxUM4MWM6Bvf7FnunTcMNXMeWjdNx 5Yr2OW+P6vuZ9+ffuIZjBzfX5bQrty9CTnMzrH7XAMucRiI/xAIhmR9hol8n xLnZIWtAEJJEntJX5CssWWc7+ylHeY7jeOqhPoL6aYf2HlW+ouOJvJG/6+J/ e0tKMLj/N5LfMxcOSb5vGaOhQc4P50nXpvCYof38HdyUgW09fH+xt3Jzba27 x8IXk7r2wHEj3mPxcPdYeP/IoU6FOGCWg0Nd4nCsmzZP6RIijlBxBOOoVRQq w0ywr68vzlkGY82YbKzsE4uKxt443TMUR61D5LVfi8cmI87vTSwel4zT3bTt op9ylOc4jqce6qNe6tfYCZF2aZ9+SH86FT6C+1smSx7J52JT37veG6TbY+H8 cJ70502h/kF3b+Lcn+ahz5SR4ttQsw/wpNYCdc/z38/7ag5ickwvJLf/PwR0 eQuRRq8j3rQzbBalypJ1trOfcpTnOH09j91/7T3/5JF8klfi97/fWOFRQbeu Ked9K2M96/ZWdGvlQOd4+NlnwiNgFAriBiJ9UG/4D2+FeWPGirW2MTxjh8OX z+nlfsDDzlm4D2GXClefIMTHmCAtpBvSYrtgyoQhmG86CMlRNkiPsUBiiBlS IywQG9YNY93D4OnhC0/nZARkDJSlp4ePbGc/5SjPcRxPPdRHvdRPO7RHuw97 j4X8kCfy5SV4I3/k0U/wmTa4DwpjB8IjcJTkm7zfHKfdYxHzU67uY3li0L0X ZPW2Hdr7Vm79rtVdt3To0I+oPXIQZW6OcHM2x+WZS3Cp+iLWiTX35UeUs+j0 nTq9Dxcvap75c+3qaaSEuGFRu74o8BiKqT6myPbsgMlh3yBnQhdE2Yn8ZLA/ kmx8NPmKKFlnO/spR3mO43jqoT7qJWiH9h5lPORrXeV0yd/lmYsxYZQ5St2d JL/kWSNbc8s4jtwl91h21M2ZwuOEdm+l6gw2i+/YAx2m3HFvpS6fMMwV/WXI 6GWMVVaBOMVnWN3H843vd0/loJE4uiTiaDdNvnDcOkSbq3B/hNd1RWGXvRO2 +nfBCdNYHBL5x3K3XKzsHIjl7XmvfShOWAXhQL9YzHdNRZ7P87Jkne3sp5yU F+M4nnqoj3qpn3Z0Nmlf7rcIf+gX/XtYey3kjfyRR/JJXsnvXbnnHouYH84T 50vtsdRnaOel6hqGxvXHzGWJsvpk1gKaz0l19WVsODwfu49vR3L3N5Fl9i8E mb6OiI4fINHcHJE/xsuSdbazn3KU5ziOf1KfOR1v5HGIWNuS15uxKdQ36PLy izcuwDWNeytJmvtWbltj870ro9zDkZDcBTNtnRBh9zUKrM2QL3KYpLhOcImz h7dzitwTeJjP0Qp0SoC3Uxo8I2yQEWmKjJAuyIruhvIgNxTHDERilCmSQ0Xe EW6J1DAzhCT2gKtrDIImeEq/fdMHanIEUWc7+ylHeY7jeOqhPuqlftqhPdoN fIjPE/DX7lWRJ/JF3sgfeQyzb4yZdk5ISOqCUR6a99zcnvsFyj2WJDlPnC/9 +VN4fLh+4wYWrd96xy0F3bp4557NuHT9Ai5PmwfbHo0w034ocO46Ll25gJWV s3FRm7M87O/FK9cu4afda+S7UVBTi807lyLVZxwW+/ZFrpchpo41Q1xiUyTG N8ZE7y7yfpWM2/IV1tnOfspRnuM4nnqoj3qpn3Zoj3YfLrTfS4In8nXp6gXJ 30y7IbDp2QiXS+dJfsmzlL7DZLCJ88T5Uni8qNWuAw5UZmFbL5+77q3o77Hw HSGrrcKR1dUch4ym3XONfd+5isEUHOQeRrfwX+QpdUfXIByziMG2EHPsGeGK c8ah2GSbhA3OmVj+rRe2GwfhpMhHTlsGYI3zRFTaRaJwzL9QaR8p62xnP+Uo z3EcTz3UR73UTzu/sK3NW+gf/aS/vzdnIW/kjzyST/lum3vorNtjEfPE+dKf P4X6h1p+74rvx0mLgtBjdHNs0Z6zqXnMewK12vvkKw8uwK7zmzAj3xtJrZ5B Us9XEWjxKhLatUCyZXPkbfKTJetsZz/lKM9xHK+v73FBx9eWQ9vRc9R3yBF8 yp2q3/meNIVHh5v3rZTCfpzHL/ZW6tbKvH5pdDJ84ruiLMwGRd26Icz2a6wx G4EpicMRG9UJjlFj5Bo/2CnhoeQsmjwpGa7uUYiKsUJqiAlSYwdgevI4TIrr ifgwEySHMVexQJLIPzIijOEZMBr9/aLhHjpe5AZJ8EkbKHME1tnOfspRnuM4 nnqoj3qpn3Zoj3Zp/2HsGcn7gLS5F3mKjTKUvK0xG44Q28aSz7JQG8FvN8lz 4B3u99ftsXCeOF/686fw6FF3LdjVazh44qym7Rdfbdp7LcQ6+8ddK4GTlzDL YThs+36HLUYDcP38aTH+IpZtXCTW+Fce4v332vetnDuKw3s31bWu3PIDCsK7 I2+8AQo9jEVpiZywbzHJry3iXYcjYXgQsgb73ba/4ifaA2U/5SjPcZrxBlIf 9epAe7R7K0u/MxrBC/khT+SLvG0V/Nn2ay75JK/k9+pd8j7dvHCeOF8PzzOF X4dub+UsNkXZYH/HonvurdzMWSbjZKdyFFgNwjwLV5wxKNfce/8b9lnk84kN C7DXIlPkCdo9Fe31WPrHMXGctAzHvkEe2MJrt8yjcbp7IJY652DXwBjM+E6s 4Xm9F/dWBkRgydgCHOnlhWy3F3FYlEtcCnBQtMt+IUd5juN46qE+6qV+2jl2 e76ivR5Ncw9NiPSXfv+m68Pku1wmS97IH3kkn/fz/ALOD+dpk9xjeTzP0FD4 bdD9Zpy6vA8j3DvA29sIF87/KL/0Hv3zXOq8gOZv/BJ2nFyFdfvnIb7Pe5hk +DeEmzdAlMmnSGzTAZFdPsDcFYGylHWTT2Q/5SjPcRxPPY/zMyd5EnyRN19P Q8kj+azrU6h3uLm3chGu6dxbSfzF3or+PoeXWCt7BoxCZooFFvV1QNKgVkgx a4VZA0ciL6434iOMYO/vBi+7VHnvh7+T5v3tgb/jWjA/hwy4BbgiMdoAMxJH IHfEKGSFOolcw1izRxKuyVdSwiwRH9cZQb5uGBrmj+Exbgh1SIKXyFdYss52 9lOO8rqxGj3GUi/10w7t0S7t/9Zrwhg345c8CD7IC/khT3lxvTBT8JZu1kLy uFDwSV7JL3m+276OZo8lUc4X501/HhUeLfg+w2vXqzB76VZcvVF112uMdO+0 37fjB1zBNRwNzIJX9xaIMWiJKxklQFUVrl+9iuqqavn1XFPFd9GLWayulXsW v+Vru1b7rkleH8VzRFd378BSnzCERruh0K0dCtxNUehujFzPzgjNbog8v3ZI dbVF+qAgZAz1vXV/RdTTBwXLfspRnuM4XuoR+qiX+mmH9mhX8975B3Vce9Ro 4icP5INt5Ic8kS/yFtuxJTy7t8TRoCzJK/nVvev+bpxwnjhfnLcadU3Y44Fu b2VjNrb29sKxjmX3lXPwHvHjnQrxc+dJiBvYAht7xeJ4hzIcbV+kedfife8v aHOVLsk41i0IJ6yD75Aj3NxbOW4ah20+PbDTwRGnTaNwoFc4lk2YhL3mQZjb 1A+nmO8IuZlji7B7cDyOdvFElkcDHO3qid2D4mU7+ylHeY7jeOqhPuqlftq5 4x6L9qCf9Jd+y5zlgXKVXMkT+SJvcQNaSB7J5309u0DusZTJ+eK8EWqPpf5C 9wz50lxP2Az7FNGxhpB36tU8rntZtPcVXj+PTSdXoniiK5Lb/A+yLZ5DXNeX 4dfJAnEGnyKkxztYutpHlqzLdtFPOcpzXKUYTz36eh+t57WSJ/IVHWcIu6Ef Sx5ln7pvpd6i7r6VylLYurrfdW+lbq/DLgVj/P0RE2OKslB7zGlqhrjA5sgb 5CTqY5Ad1RNpGb0xLiwCvqPTEOQcBU/HGPg4x8v3iAQ6xMHPPg4BDsKGI/MY zXG39T7X+h58P0lSX6TH2GCZQV8sNO6LrIReSAw108s3LJAaZo7YSCuMdo3H 2IgJGBIYjFDmCGmDZMk629lPOcrrj6c+6qV+2qE92qX9oHv4WBcD358p4mJ8 jJPxMm7GTx7IB3khP+SJfJG3uMDvJI9lYfaSV/JLnu+2p6PbY+F8cd7051Hh 0UG31t2w9QDWbt2vabvLvnHdPSwHt6C6tgpXd+zAos8NYetpiHnj/YB9u2/K 3vX7WfPM4FrmMuKo1eUz8hzaL2W5h33x3Cns2KfZ99j6nRUyO/ZAZuwATBnf SeQZItdwM0W+lwGyYr5GlrsVIp08kDnEHxlDbrseTNTZzn7KUZ7jOJ56qI96 qZ92CNqlfc1e+h32Ompr62KQ8VTV1D1r+c7R67ULvsgb+SOP5JO8kl99vm+H bn44X5w32aZylkcMzZxerTonnzm136DwvvZW6nINg1wcsJ6GSf1Nkd31Y6z1 GIV9vcT6vW2pWE8Xad5H/2vXgHUqwl7LdE2ucoc9Ff3jpFUYDvTxxeYIIxzu Eomz5gHY6JCMTU4Z2NDRDxWt/XGlZyCWjclApW0qzlqG4EB3H0x0fxEHevjI OtvZTznKc1wlxws91Ee91E87tHcvf+ivzFmE/4zjV68NE3yQF/JDnshXdreP JX/kkXzeN/fcYxHzxXnj/Kk9lvoLzW9+LbbvmodhY5qjx+CWiJ0cCu4k8xrd Rz1ruu/cPac2YNo6kR9bvoCJRv9AtvXzyLQ0QKxBMwQZvIiYPm+hYrWtLFln e4boz7Z+TspzHMdTj77eR+Y3NPyQJ/LVU/A2bMx3+HGX5jn9ai1VP1Gre0+D bm/F4e57K3X5A6+rGpOI0BhrZMf3xNzBrijMMIdn+efIjnbCVLcgVA51wDrb 3nDpEwsPu0Uoc5uJDOccuDunws8tBxHu2Qgcn4qg0XHwdYqBp1OsXIMHOcbD 3575TLxY+3NdLvIAu0SMDY/BrEBbzGhuhVXvG6LYaySSYizqrgPTHWki3whK 6C50piDQxw2jXYTOUfHwThkkS9bZzn7Kpd2W71Af9VI/7dAe7dI+/aA/9Iv+ 0U/pr/Cb/jMOxsO4GB/jZLyMm/GTB/JBXsgPeSJf5I38kUfySV7J76+9+0Xu sTjo77HUqj2WRwyufXmOvmTuxvs+V3+j6joOHNiGmutXsd8zGiEJlrCb1QER Rf7YWjIbu/o5YveAAViWPBcrph/H2Tm7cGnrEVy8JtZ7v6q99ubeTJXmO/ZU 9XHsSk3CTssRWP7vZkgMEX+f/iJPmWCMfA9jTHU1EzlxS2TEfYksr25IsfFF +hA/kZ/43Zav+Ml29lOO8hzH8dRDfdRL/bRDe7RL+5Ir4Y9uj+TX1juMk/Ey bsZPHsgHeSE/5Il8kTfyRx7JJ3klv78G3Z5Y3bypa5MfLXR7KxtysLW3p7wv 4oGu5+J1XGb5SOV7czu2QXwbD6waZ4vtHs742ToTR9tOFzoL777f0qlAPnOL zxi+470qt+2tnDCLxQ63/tjpOljeH3+mpz8q7Cfi4NA4rGrihUqzYCwbNwlb nUTu0TVA6AzHwe7eMl852MNb1tnOfspRnuM4nnqoj3qpn3Zo7157LLp7Wug/ 4zhyt/dnGuVKHsgHeSE/5Il8kbfUsIGSxyMPcl2Z7n0sYt44f/rzqVDfoPn+ v1R7HR4undBrlCnGmL6BktlJmt7qR79PUHXjMnZc+BHpvubIaP8HkYc0QFHn Vsjq1BwRpq8hqMOrSOz2Gkrni9+Kbq/KOtszRT/lKM9xHE891PeooeOFPI0x eQO9nE3hMdZQ8ng/v1cKTwZ1961UlsFeu7fya9c9cc/AU6zDPcIckR1uhLwo Z2QnDEFM+cuIy2yPfF8HLP7YDKteb4WFX3bC5A+C8H2DFMx6KQQRn2Yg02gG lpoVI79DMpz7FyFx3DxMcy1FhEMa3MZmIdQ9B2HuWQgcJ/IDxyhEOOUhYnAI VnzRFsveaorFRgOQEz8QCSEmSAm3EoelOESeEWaJjEhjeIU4YbxDDvwmeCJg VDT8RZ7ilzxAlqyznf2UozzHcbxGj5XUS/20Q3u0S/v0g/7QL/pHP+kv/ab/ jIPxMC7GxzgZL+Nm/OSBfJAX8kOeyBd5I3+SR8EneSW/Qb92j7/uPhYxb5w/ /flUePjQ31tZv017nv6e617tdZaXz2PHro3yuqTrB/dg/BwrjJ/6GsInvo+x /kOR/6kFVjZojIrnv8G0v9hjwTMTUPFXFxR8LHJ0gwJsN5+EXV5zsDBnO36e cxjnF+zG1bNXcEF85d7+a3Tix5NYFpCLta80wfo/fYoiwwFIjBmGKeMMUOBh Ku89KXS1QE5EY6SGtEbKuBFIHKa5FuxO+Qrb2U85ynMcx1MP9VEv9dMO7dEu 7dOPW7gTB/2l3/SfcTAexsX4GCfjZdyMnzyQD/JCfsgT+ZogeCN/5JF8klfy q8/3HedOO0+cN7XH8qih3Vu5fkHzvhWx1j5q9GD3YBw1KMQhy2wUxA5DYvPx Yk3TBcXvl2JFzxBs8xuByjHjsMcyR6zTy4RswS15C6+fOti5AIe6Reo9q/je x+FuYcJXQxzsE4ATVqHyvvfFbpPkvSd5hhEoH5WPyhHpOGsZiCNWfL99uNxX yfZoIEvW2c5+ylGe4zieeuR9/qKf+mmH9u7HL809+JEynqO35SmMm/GTB/JB XsgPeSJf5I38kUfy+UD8i/nivMk9lusXoPZY6i94vzi/X7OL/DCyyycY6GqJ wJZ/RVlFsuzXrM0f8jMb5fN/q6Ttq1VnMbkoEJmmLyLP+G3kGbRGsvVnCDF9 CYGdXkOw4euI6v4Kogo/lSXrbA8V/ZSjPMdx/OSiIKlPxiT0P/zzr7V1uQr5 IU/ky6brp5I/9jzu5xUo3B90eysXrl/CuNQJ8lx90H3cU+4vny0scosAD8Ql mGCGxzgUhY5BXP5XSJzzb0RlWmLWhNGY/6ER1v+nPZY1bov8t8Zh2l/DMfPv fij/ky9K/uiLsj8FouD5aEx/JR7zXo5G/quRCPmuCOUWs1BhOBH+ndIQ7/49 prqshZelLVY0bodVX5pjmvtoZGb2QEqkKZLCjRETZoLECHOkh5ohVuQf4/3c 4WWTCdvoCQhziRI5ivBX5CssWWc7+ycIOcpzHMdTD/VRL/XTzqqvzKVd2qcf 9Id+0T/6SX/pN/1nHIyHcTE+xsl4GTfjJw/kg7yQn2jBE/kib+SvXPBIPskr +b3bNXm35I7aPRbOH+dR7bE8Osi9lWtVKP7+/vdWdNfB/vTTMjHmIs7OXwL/ LFuk5L6OyMLXkDvlHWT422Di510x/RsjrPxU5LIvDMeSZ1xR8YyjKJm/2GPu MyNR+swofP+Hcaj4wxjMbeCNSc0yscqkENuMkrAqsALb5u7DAtt5iPimFzZ+ 2AYbxOcs2t8dhdFdUORpiHz3jpjkZoCJniaIT26IPK+2iB3thMwBgUgb5ofM IQFItvGV+QpL1mW76I8d7SjlOY7jqYf6qJf6aYf2aJf26Qf9kX7RP+En/aXf 9J9xMB7GxfgYpyZeVxk/eSAf5CXDz0byFFXwmuTNP9MWZxcskXySV32e7zl/ 2j0WOX/X1B7LI0ON5jqUA+snY2sf9wffW9HmK4ctsjA9uR8Kvy1AVm9TLDbz Qfk7pfiheRH2jQjHet+h2DpqPPaZThbr9lLNveliHX+4UyH2W2Ro9i+s730d GJ8tfMI8Fjsd7bDdswdOGcfgkrk3dtrHY7nzJCy2y0TYgEwcGhGBc939cbp3 EM70CsJZq2Ch2w3545+TJetsZz/lKM9xHE891Ee91E87tEe7tzzb+I57LKEy DsbDuGSeIuJkvIyb8ZMH8kFeyA95Il/kjfyRxwfNV+r2WMT8cR5rtfOqUP9Q o32e1vIj6+Bn8Bz6uXbBhF5fwrP9vzBtRYJG5iFdGyZt3fZdu+rgViQaNkGx URNMMTfAdPN3kNrrZURZvotws3cQYdQA3nbvwqH0I1myznb2U47yHMfx1EN9 txqtqYvx90B3DRhBXjzbPwu3Xl9Ivsgb+auLUaHeQXcufnrldNiNd7uvvRXd M674zC2XsdFITx+ERR36Y/4wB5GnWCBjRgMk5H+ImKT+mNdnEH54r41Yexhi QZNOKHh/Asr+EYFpLwSj9PkQeUz/VyBK/xmA4n8GouyfQZj1N39Mf8YDZX8M RqjZdMSPLcRonwSExvdCflgXrEr1wDKX8Vg2wBKhLgOQHTMGFQn2yAvrgcio bojNGABfnyz4jE9Ctxw7eI6OgLdzNAIT+8mSdbaz30/IUZ7jOJ56qI96qZ92 aI92aZ9+0B/6Rf/oJ/2l3/Sfcch4tLExTsbLuBk/eSAf8/oMRLTgJ1HwlFHe AJGCtwWCvyWCR/JJXsnvfT1bTfc+FjF/nEf9eVV4eKg7P7/lANZvPXhL272h kTl/4TT2bV+JzWaOCBs7HCmz3kNIyRuImSS+s3O/wsJ+Jlj4RifkfmuKgiad MevVkVjxP2Lt/uexWPyXcVjyN1cs+7MLKv40Bov/6ILFfxiFZWJ9v/iZEVj4 zGgkNU1Cdv9wRI/2Q0Zgd8wZb465iW4oGuOGTeYmSBnSGyU+Tljnb4uZXqYI Tf8WmeH9kO4Sjgy7AGQM9xIyXoi18URvkQ+wZJ3t7E93CZPyHMfx1EN91Ev9 tEN7tEv79IP+0C/6Rz+lv8Jv+s84GA/jYnyMk/EybsZPHsgHeSE/MTnvSr7I G/kjj+STvOrzfF9zKOaP83j/c6hw/9CcA7sicslNvG+lU94D763Ig/eoWKRh YfIQzGlYgIqOscjtbo7dRlMw9ZMsrPl2Ck4aT8V2G39s8h+CHx29ccCoEMfa at7XcrD7r++tHOPzuKyDcdo8HFtijLBnqD922CSiYuREzB+Yi6KB5YgaXYbk UelYGjwZ8/3zsGzCZGwYlopNPdOxQOQibjENscA+U9bZzn7KUZ7jOJ565g/K lXqpn3Zoj3blvfW/cm8N42A88nnDIj7GyXgZN+MnD+SDvJAf8rRE8EXeyB95 lHw+4Bxw3jh/nEfOp9pjqZ+o1V4Tdr7mKtxcjOBt/BYs/PojouPLGG/0ImYt j9cIMmepuy/kQeZR+94qvfNzZy8ex7ptuVi5aw2mdrNG0utvINHMGrP6WqO0 pxkyevREhKlYD377KZIavopRE4Zg8OKBsmSd7bJfyFGe4zg+6bU3hL4uUi/1 085NN3Tvz3ow3zVDa2T8BPkgL+THUvBEvsgb+dNQqT7j9Q26Oblw/TLG8X0r jryf/P6feRXkkAivcYmICPHEynfbYEGbPpgYNxIRhZ8ge+lzCJvaEJNi7FHa oSuWf9QKqz4zwJwmxsh9xxMz/xGO0ueCUPps8M3juWBM4xr/r/7IfisZBcPL EeSeBj+bZPgGuiA52giJkaaY7GeDZR91wtJ3W2B+Q0NUfGOG9d8aY+E3hsi0 6o3JtkFYYFaMFJMYGMdFIH3CAkx1zUNMZH9MESXrbGc/5SjPcRxPPdRHvdRP O7RHu7RPP+gP/aJ/9JP+0m/6f2s8QTJOxsu4GT95IB/kJay4oeSJfJE38rdK 8Eg+ySv5ve+5EAfnj/PI+dSfX4WHA3lunnsrcyof8BlTmu/X69VXsWNeKX54 sy0SLIciN8kYsTlvImDu20hO/Qy5Oe0xp11LbGjQGrMbGiCxuQXS3xfr+j+6 Yvn/iTX+/7lg0Z9E7vInkauIctFfxCHW/uUvBWJu34nIHhOG9MEBSBlngwKv juLohLCIUah4pz02PNcEy99ojx8+NMKP7xlh5tffYXLX1pjTzQ9rOyShqGUA IvpmYrZdIWbzmRTJdrJkne3spxzlOY7jqYf6qJf6aYf2aJf26Qf9oV/0j37S X/q9WBuHjEfExfgYJ+Nl3IyfPJCP3EntkZzyqeSJfJE38kceySd5fZB1VN0e C+fxmnpW2MNGbd3eSi629XPDsQ5lD/RMr5v5yhQctUzGD+H2mPVtHjY0K0VZ tyGY1c0Bpwyno6BRJlY2m4SzHUuxzzgf253dUek3FD8ND8SezlNxwjxG+2zg O+xfdBW5inUoTlsH4qTIA1aM90VRtgOKB8zEYoeJWO6YhXKvAhzuHo1FbYKw tHMYjvSMwt6uUdjTJRIHLKJwYGgiZqXZoJdPM1myznb2U47yHMfx1EN91Ev9 tFOYbS/t0j79OCb3Ue50b02wjIPxMC7GxzgZL+Nm/OSBfJAX8kOeyBd5I3/k kXw+8Bzw3hgxf5xHzmct1LPC6itqtfsnBZO9EdD4fzFkrBlG2rZFTNt/w8vg BeQvTILu7VO62zN4XVR1TfWv3Nt+6/fj6q2lmJg3BNmTByG7uC98x5uipEMH JHVugFTTF0T5ItJNRS5g/ho8Dd5GcNs3MLnj65gc6Yi+M9xkyTrb2U85ynOc ZnwDqc93vJnUTzu0R7v38uuWnlptXNU1utt7JBg/eSAf5IX8DHExk3yRt1ot jwr1DzXa35XyjeWwnTABwfe5t1J3OMYiaGweUnuGouKT5lj7gSFKXMQ6PNsA kUteg8+CdxCY1QYzfByx7HORX3zWFqs/a4fSxqbIfj0Qs/4eoV3jB2HacyEo E2X5H/1Q8vVkBIwpRZBLIgLt4+A+OhWu4Q5IDzFCZlIfkYePxJIPWmPpVx2w vGEbLP20NZZ82gbLPmmHlZ81Q94bI1DyTBhmPOuO5E/GY9pLaZj/WijmNLUQ ZYiss539lKM8x3E89VCf1Cv00w7t0S7t0w/6Q7/oH/2kv/S7TBsH42FcjI9x Ml7GzfjJA/kgL76CnwjBE/maJngjf+SRfJJX8nvfcyHmjfPHeeR81kLtsTxM 3NxbOYj12x5kb6VOg7wudvnwRCx97Vvkf2WNKT7mCM9tBL+Z78Ft+gdIC22J ssR24rP3NSpfbIP17zRHztemCP2PN0pe8EbFX8Zg2f+O1uYsY1DxjBMWfhSD NJsMZI30Q/ogbySOCEKc+2CUuLZHRlQfpA10RGWDJljzThuse0P8jb7eDGtF HrD0i/fxfaOPMP9vfeTex8JnxmDuXzyx+llvTH3fD/7NesmSdbazn3KU5ziO px7qo17qpx3ao13apx/0h37RP/pJf+k3/WccjIdxMT7GyXgZN+MnD+SDvLiV fSB4el/yRd7IH3kknzVafh94LrcdlPP54HOpcHfo9lYuYWuULfYbivWu4V3u E/+V47DBFJywTMQmLxesbFGMis8ninxgEuJ6t8Eu4xycMCpEScOJWPZNDs4Y F8jro/aa52DL6PFijd4bO5ztcNQiGifNo+QzhnXXXfH+9ROWITjbPRCbRyRh +pDpmJjpjEXjg3CoXzxO9mCOE4qVztk41zcIc7/1xT7TQJxh3tA1EKetQoWO MGwJMcY6+0Ho5W4oS9bZzn7KUZ7jOJ56qO+E0Ev9tEN7tEv79IP+0K9jXfWu UxN+03/GwXgYF+NjnIyXcTN+8kA+yAv5IU/ki7yRP/J42OA35Cvi4PxxHjmf V64/3ndjKNw/qrW/92XbKzDe6CWEGb+JXn59EWD2NsINX8OEji/Cb+J4HDq9 XUhd590ntyqo0d23cXNudec8b1RdwL7DFZg53RWJWVao/HEm9l/egZRcPyS3 /jOKDb/BZMt/I9P4n8gy/heyzP+FiG4vI9ToNQSbv4VYg7+gILgDhlSMlyXr bGc/5SjPcRxPPcWG3yJF6KV+2qE92qV9+kF/9P3TeSv9vy0sTZzXZdyMnzyQ D/JCfkIFT+SLvOnzqFB/cPO+lcvy2VKejvH3fFbvnZ7d6+sUiyTHYqR9GIbl nxtg03ttMd+oJzISB8K77GMELv0EQTP/g6iJZphsY4eKD1qholF7rG7YGsVf WSG7QQTm/C0K5c+Ho/wf/ij8ZxgSDKcg3a0Afs5irc7nlPGaqDFxiEjshpRw Y+RG2GBF025Y/lkbVDQUOYDuaCTWeSIfmPNNJ0x6NQjTnw1D0Yv+KHvVHlP/ Goay53zx/ZdmspR10V70op+UozzHcTz16HRSP+3QHu3SPv2gP4HymcWJ0k/6 S7/pP+NgPIyL8TFOxsu4GT95IB/kJUjwQ57IF3kjf+SRfJJX8nuvZzz/co8l Sc4j51Ozx6LuY3lY0J2Tn/rAeyvQPNdXyJ/Yfg5Fzzlj8ZttUfy5Mb7vZIKC +I6IzvwEwxd8gfhJ7yM7wgQ57h2w6N3PsPbVDtgm1uSzPjRC/Fs+SH8tECUv emD5/4g85Q+uyG+VghLHBKQO80L6YD/57OG0ET7I9rNAsdARFTUacxuaYuMr zbDmzZZY+0ZLrH+zBVa+0Q6LvnoPyz5ogVn/HIslfxonDhcs/aMz0l7yRu7L bvBv0VuWrLOd/ZSjPMdxPPVQH/VSP+3QHu3SPv2gP/SL/tHPEqcE6Tf9ZxyM h3ExPsbJeBk3489xby/5IC/khzyRL/JG/sgj+SSv8jqBB8g5fs98KtwD2nNg B9cWYHv/8Tja8TfurWjzlZOWCfjJyQ0/tpmO6V9m4JRhGeZYj0aR1SCcNpiB Y8aTMbNRDhZ/lYOTpnk4xvvuW5djX89YbPO3ls8O3mXrrMlbLCI0zwGzEvlI rzDMH52LhSPzUOkYhs2xxjhtGY6T1kE4I3KMSpcU/GCfKfQHoKylP47q9jms wsS/I7AtuTkOODhirUkUrOJby5J1trOfcpTnOI6nHuqjXuqnHdqjXdqnH/SH fp2wDpJ+0l/6Tf8ZB+NhXIyPcTJexs34yQP5IC/khzyRL/JG/sjjb81X5P0y Yh45n5xXdR9L/YRuj+ToxZ/hb/0eoto8D7uRbTFonDnCO7yIqE6vwtbqI4R/ Pwx5a8aiNMoS8+MHYM6G6Th2YVfd3ovm8fk1Wp21uHj9LOZsK8Ty9Rk4eHS7 bL9UfRIJAUaIbvsMyro1w8TOXyHD+C/INHkeWSbPIs3sefhZvokQw9dlXpLd 8c+YEtQSQxc7yDJL1NnOfspRnuM4nnomGn+FUqE3us0z0g7tEbRPP77fXij9 0r3jS/POR437jIPxMK4F8QNlnIyXcTP+KINXJR+DxpoLftpJnsgXedPnUaH+ oEa+SwiYsWEG7NxcEezwgHsrfG+KayqyLItR9PcglDW2QOV/xDr/0w4oHW+L gNwWCJj5BUKKW8Ij70vkpgzAIvN+WPxhS7F27yjW8C0xtVF35DSIxqw/h2B6 gyQU9J8F3wnZ8HeMFYf2PfAiLxg1LhGxIdZIT+iCmcOHYeX7HcW6vv0t+UrF Zx2w8vOWKGjYT6xhwjHzH8FIetMXRR/bYfrfI1D+b3+Rk1jIkvWij+yQ9Iav lKM8x3E89dySrwg7tEe7tE8/6E+w9t4S6afwl37Tf8bBeBgX42OcjJdxM37y QD5CiltJfsgT+SJv5I88kk/ySn4lzw+yxyLmkfPJea2Fes7Fw8At9zw80H0r Gsh3pQj8YD8Hc5+xx6wPTDGtkTE2v9MU2SGdkRzfFB6FX2FsfjskRX+G0uB+ mNm7Bea9/wlWv9ERm15visWvG6PkeQ/kvOCJpPcikd8/H+linZM5yANpzFPk vfL+iLT1Q56rCSZHWCPN3gkbGjTF2rdayZxCHq+3wrq3m6Gs3auY9aY1Fvxx PJb+32iZj8S8Howp//bGkr85w6tVX1myznaZzwg5ynNcqRhPPdRXp1vYoT3a pX36QX8ytf7RT/pLv+k/42A8jIvxMU7Gy7gZP3kgH2Pz2kl+yBP5Im/kjzyS T/Kqz/PjmFOFu6EWV65dxtbokdhn9Nv3VjT5ylSxZo/D3gHe2G8wEzM/z8Le trk43HkaMq3M8YNllFijF+OYSR7mfT4R88VxwoTr63yxfk/FCbMY7Bvoia1B FtgWZoy9w11FfwxO9Re/B05TsHZEGs4LHT95dMcOB3spf7RbCM5aB2L10Azs dYjHTwb+WNTMH2d6inzFKhRHrSKxM/0b7B09HOeNk7HU3BMDcgxkyTrb2U85 ynMcx1MP9VEv9dMO7dEu7dMP+kO/TvWLkH7uGT5e+k3/GQflGRfjY5yMl3Ez fvJAPsgL+SFP5Iu8kT/ySD5/61xwHjmfnFfOr9pfqX/QXONVi/PiH47evRHa /gWEdn4NXUKHwsf6Q4zt2xh9Z/bAoNlfof/sbxE0sS2i+7yL2HZ/QVKXV5Ae boEVP5bL95HocPnGASzaWYrNx3fU2Vi2ZRYS7RsjvfUzyLF8Fjmt/4Nii0+Q bvJ3kW88J45nkWH6HIKMX0eg0RuIsnwZOR3+gUC/j9FjTm8E+X4k6n8X7a/I fspRPlPmK89JPdRHvTkWz0o7tEe7uk/dFuEP/aJ/us8i/ab/jIPxMC7GxzgZ L+Nm/GP7fgMfqw9gFTZM8PO65Il8nde9G+xxTZjCfaFub+XaFc3eitOD7634 iTV61PhC5H2Sjql/DcGU/wzDukatsfTDNlhg3hfJGT3gWfg1oqY3QeDUpgia 2hApYY5Y/K0JVnzSCks+FznL5y0w6z1rJDQsRJRDGWJcMhAyIhmhdqkIcUqW z/IKtk3FmAg3RMUaIS9mKBa27ILlH7RFhcgjlurlK8s+a4fFX7XGpPfGoewf YZj5tzBENhyDpC/tMOOvkSh/0R/lTaxkyTrb2U85ynMcx1OPvl7aoT3apX36 QX/oF/2jn9Jf4Tf9ZxyMh3ExPsbJeBk34w+a+pnkg7yQH/JEvsgb+SOP5JO8 kl/y/MB7LE7aPZZrV6D2WH4/bp6L3/Tb9lYETu05i+kvB2DJ/4xF+Uv9MOez 9ljzanOU9WqJKRHmiE1shFFTWiM8+2tkJH6CyRMcMOO7xpjX8D9Y9WZ7VL7V FMueN8K0d+KRbJsDL594jBkXhWiHEEwcyj0McQwKQpS7I/K92iMpzh4zmndD 5UtNsOZNTU6xRhzrXmuNJR80wYov3seM5+yxVPiz5M9jEPF6GApe8Mbq/x2N uX8dAx+Rr7Bkne3spxzlOY7jqYf61mjzFdqhPdqlffpBf+gX/aOf9Jd+e/lq 4mA8jIvxMU7GO6NZYxG/PTKSPpZ8kBfyQ57IF3kjf+SRfJJX8qvP96OeV4Vf QnffysE1Rdg20PW337eiy1c6TcUxsyQc6uWG40blWPRlNta2ysF5wzIst/JH Vu/OOGpYiiOdcnHSpACLv8wRa3Sxfu9chGMWfJ99AE5aRggdsdg7Yhy2hhhj S4QlSl0zUdk3F5fMgnCwpz82RRvicNdwnOgSLHIMkUf0DsECr8k43i0Sy9v7 Y2Unf5zrGoZDFrHYmdwM+8YNxjGjBJztEYxFbb3gm28oS9bZzn7KUZ7jOJ56 qI96qV/aEfZol/bpB/2hX6XjMoWfVsJfE+k3/ZdxiHhkXCI+xsl4GTfjJw/k g7yQH/JEvsgb+SOP5PO3zkXdfSxiXjm/6j6Weopq/r8Wmak9EdD07whr+Rzc un+GoWOtEO3XDoMXN0f/kk/Rv+wLDFr8JdxXtENiVkfEOX+D1M4vINykAeI8 2mHH/i04de0sYueNwd5rG8G3W63ZWY6kCDPEiHwiveNfkClyjEkWL2GqpSFS DZ9Dlum/NDmHschXujyPUBORr5i8iXTzfyHV7FUMmmyKPlONRWki62xnP+Uo z3EcTz3UR73UTzu0R7u0Tz/oD/2if/ST/tJv+s84GA/jYnyMk/EybsYf7dtW 8kFeyA95Il/y20t9pOsddOfcyzfMhK2762+4b0UcLolIH1iM0n+GoPyfoch+ 1xUrPhNrc7HGX9SoEwp8HfD/2HsP+KqqtHt45n3f6TMqOjoz2LDSpEPoEFp6 JwWSkIQkJJDee09ubk3vvTdIJSEJnYA0wQKWcRwVRQWpoo5lFFj/vfZNMDrz zoD+v5Hv+zi/3+Vwztn7edZaz5NkP3effU5662woN89HXtccJFUbIq9lEbZG hmD7xBXyWaUD41diu7uLGJ8lIyakFIoAMf4PKYFWjP81vqXIDOA6kVpkp4Sj otgcmyP8cHD8KuwX9vc/YzhqHmQ5Dk1egu4Zlmi+Ty3XkfT+SotSUZNkT45A n/j/1t9nomOeg9zzmOdLZS2jle1lP9Gfdmjvm5rFUPqjX/onDuIhLuIjTuIl buInD/IhL/IjT/Ilb/JPpA5CD5XQhfpQJ+pF3agfdaSe1JX6UueMf/POyH+6 jkXElfEdHe87261vP/R7+GvDz3l/peQFDPwkAM/+PAYd929C39MrceJPonaY PgG1aW6oypmJzOp5iGhdjMKseWgomI9dXiHonTANO+Y8jL1/MMSzlmvRrohE oXcG6tYnIztIiciYfMTE5KIwUIEaDwUagjegWWWK3LhoPDdW1Ccjcx+ynliI F/5oiF2zn0DLvDnY898xGBI1SRZrlTHJOPTfXNMfiR2/CpP1Cvc85nleZzu2 Zz/2px3ae274njB+6I9+6Z84iIe4iI84iZe4iZ88yIe8yI88yZe8yZ86UA/q Qn2oE/WibtSPOlJP6kp9R+v9n4jtnW3UNryA94svPscr2ZvwjmnDD5pbkR+j VrxjXodzLpG4YNSFo4tqsWdmPS6ZifG5SRdqnVZjv0WGvPa+cSMumevXcnRO asBZ+xKcd8wcXsOeifPW2bhsrcOexFTUNm7AmwpbvOuoxmsxG/BGjIdcI3LO IRMX7JV41zYLQ9F1+GidEjsNUvGWiUrUFbl4JWcF3oz0xgWzQpzjWhNhu2dF IvK7TeWexzzP62zH9uzH/rRDe7RL+/Qj/Qm/9E8cxENctY3eAmeKxEvcxE8e 5ENe5Eee5Eve5L/fIl3qQV2oD3WiXrxG/agj9fwh8ZBzLCKujC/j/K2FzHe2 22Abfq/I9atoL92I8HUzUVBoj7w0YzgoA7Cpxgm+/fqx+/qe6VjfMQ2uPZMR smciEndOhXanNaLLFqIx7ik0bPZC86Ec2Gj9oc5dguJMS+SwTln+c9SKuqKa 929Z3I2yVXejw2wxGm0eQIXZ72S9UWN2F4oc7kOG+UPIsvkTak1/hQaHccje 6QabxlVyz2Oe53W2Y3v2Y3/aoT3apX36oT/6pX/iIB7iIj7iJF7iJn7yIB/y Ij/yJF/yJn/qQD1yhS7Uhzq1l26Suv0/8Z6aO9v3376ZW/kCUeWxSAjOv6W5 FX7SA/Ohjq1D7fwmdP8iDV33qLF5jAr7ppnjIO/TemoR+tZsQG6jOdLq5yK7 ezbyq42RuWUiVPU26HH0xBExhm+LDkRR4TqUZ6+EMssXKSHlUASJuimU91uV QCXqgeSAZiQlJqC12AMDq9biGGudaaaipvimXtnPe7imLULD0wHo/G0WusYo 0PNbLbY85Y/Ssbz/S40+Uad0LnSSex6XPpiOLU/7y3Zsz37sTzv7v3VPmKH0 R7/0TxzEkyJwER9xEi9xEz95kA95kR95ki95k39ejbHUg7pQH+pEvagb9dss nzOmlrpSX+pMvW8lPown48r4Ms535li+//bD1zlcx1d/v4bBBRXY+9NADP0s EtvujkbH06Z4eexi9E2YhD53YzTqLFGaOxURbQuhKzJCZfFTqMizwK7lXjj4 9Aw0qVeiIX0t2hKWoSJpHUo2KFGzPhU1G1KgDVIhOi4P0THFyIvciLLi9Whd 5Y4Tv5+Do6PuBTv+0EIc/tNyPDttHPr+5Iy9v0xAwUMKkXMJoiYJw56fRWDf d+oVHvM8r7Md27Mf+9MO7dHuiA/6o1/6Jw7iIS7iI07iJW7iJw/yIS/yI0/y JW/ypw7Ug7pQH+pEvagb9aOO1JO6Ul/qfKt/a+6sY/m/s92YWznajlc8I3/4 3ArHx6ta8RfrJnzoEY5zqzrwpmED+ifX4axZEy6sasMJ83KU2ZvjlGkLPjRi nyYxhm/GoTmNqJ9TijMOKly0V+Es323PZwY7K7EtoAt/dS7GWwF+OK62xjsi z067i1rDvADnV4v2Ngr8NTAPz3lW4bxNGnrmKvGXNUq8IMZHrwcF4aJ5Hj4U dcZ5Yfd9K/F3zygJlYNmcs9jnud1tmN79mN/2qE92qV9+qE/+qV/4iAe4iI+ 4jznrJS4iZ88yIe8yI88yZe8T5k2o8zBXOpBXagPdaJe1I36SR35PpsfUj8O z7EwvozznTmW228bWSu++70d8O7jepEl8Nm9AC7b1kB3oggbtk7Duh4xfhdj d8+uqfDsnAaPrmnYODABEX0PI6Z/HOL2TUPaPgOkdayBd28gQtwWQLv4l6i1 Zo1yj7x3S65REXVDl/Vk1Cx5ElWW+nvBKsX5WlF36Gz+iBTrR1Fhey+qjX+L xtX3I3/bMlg1W8o9j3me19mO7dmvcvieMNqjXdqnn+rhe8zonziIh7iIjziJ l7iJnzzIh7zIjzzJl7zJX3eiUOpBXagPddr93s5v6Xdnuz22ke/ae5/fBr/4 qJt+38roe8HSQ/JRENSJtvtz0X2XQs5PtN+dha1PeeMIx/uTDLFnphka1P5I 3jIF2SXmyN0m8iTbEUld4zFQEYmdmiiU59ugWG2BErUdSnNMkVrgg9SQUvkc 3zS+U0T4SwwrR3iJP3bE+uPQBHMcnmSMI1NW3ahXhuS8xFL0zjBF4/1KbL1L /xzhjt/p0DE2GFvuTUPn70S9Iq51Llqj34tjnud1tmN79mN/2jk4ai0//dAf /dI/cRAPcREfcRIvcRM/eZAPeZEfeZIveZN/ntAhq9Rc6kJ9qBP1om7UjzpS T+pKfakz9b6Ve8JG3sfC+DLOo+N+Z7v57Yc+R+raVf33j29tP4WtPwnH0C8i sF+M+/vuTUD1w6KeeGgejj1sgB1zn8GWGD+UFU1EQZYRwjsXoCLNAgUVT2FI G4yDkTFozFuEiupH0RxjjdZEI5SkrkPpBgUqvNJQ7SVqAO9UpEbo4F/rB01c pHy28Mmx83H8wUU37teSa00enYf6VY+h74Fw1IiavXtMDA7KZ45FyHei/LN6 hed5ne3Ynv3Yn3aOjVrDIu83E/7oVz7bWODwE3iIi/iIk3iJm/jJg3zIi/zI k3zJm/ypA/WgLtSHOlEv6kb9qCP1pK7UlzpT72vfZx3L937u253txtzK51/g JOdWzOrFOPpm51b075Dke9vPij58p6H+vYYtOLdC1CRranDGPxRnl3fgfTFe 7pxWi3dWiD4mXF/ehw77Deh22YDLq3rwvnEDPhDjdz4z6+CiRmw2SMcZWyUu OqjlvVfv2WVhd3A9Ljhn4KJxEV73i8SbubPxitIKrye44j0nNa4YZeFQSCVO JBThvcUabDGNxAuK1XjdMxEXLXPknAif3XVR1A7vmKrQvzgRbfss5J7HPC+f QcyaRbRnP/anHdqjXdqnH/qjX/onDuIhLuLbHdwg8RI38ZMH+ZAX+ZEn+ZJ3 t6u31IF6UBfqQ52oF3WjftSRelLXEY2l3t+Jw7+dYxF9GF/GmfG+M8dy+2wj 68Q/uPAWGnrXw3v7TLi2T4Jb1xS4d49H+C5jBO8zg0vnJHh1TdfXK+Lj1TkV 7uLYu38aQvsnILpnHMJbxyGlyQgBQ+Pht9seWREmUJj+HtXW9wzft3UPKsx+ gTrreehwWoRy01+ImmLMjXoly/IPyF39gKwv6lb9BsmBMxDYOx0uTbZyz2Oe 53W2Y/uReoV2aI92aZ9+ZA3DeR3hnziIh7j8Bb5kgZN4iZv4yYN8yOsGR3FM 3uRPHagHdaE+3ttnCb08pW6jdbyz/bjbyK+VK59/Lt/TER+Sd8tzK1z/nRld gTrTNnT/Il2+E7FDjPf7f52DrsfDsXfmUhx4ZjkOPLUIA+4bodq8EqrSJcht mwtd2xwUF69FV8gcVG3ahKpCO5RorFGqtRFjfPHJMUN0wSaksGYJ0j8bLD48 FxmNPthjvQ6Hn1qJ/RNE3TDRRNQURnh2CtfZC1/TFqJhgh86f6uTzxLuEZ/W 32WhYkIQeu9PRAfXs9yvQvdSZ7nnMc/zOtuxvXymsuhPO7RHu7RPP/RHv/RP HOkCD3ERH3ESL3ETP3lIPoIX+ZEn+ZI3+ee0GUg91EIX6kOdqBd1o37UkXpS V+pLnan3La27H55jYXwZ5yufff6t+N/Zbm77oe/puD78TIvDvr3Y9RN/7PtV FIbE+Hrw3iSUPhqE5x+eh8PjFqN9/h8xZLcOFcUrUJ1pgKS6xeIzH5vTbbHT ZTbanb3QkWKPWu1cVFY/iaYoG7QmGaEg1U2M/TNQ6Z0m6oB0VHnFIbt6A0ps N6F5ojE6p5jiuUcX4aWxC/Ac65YHl+LYuJlomWWCirFabB8TMfx8ZH2t8q/q lZGahe3Zj/1ph/Zol/alH+GPfum/VODIEniIi/iIk3iJm/jJg3zIi/zIk3zJ m/ypA/WgLvuFPtSJelE36kcdqSd1pb7U+Tpu7j33/xDn7/VenTsbtxvvWznU iZOe4fhwZc+/mVsZrlHEmPl941b5HvV3TVvwtk0N3rUrxym7Crxt1YBzy9tw 1FMchwqbSzvl87B2PVOHV5Y04pypGDuvbMEp23pEJ9vjuFMjLon275s2y7H8 RYsWPGeWhc6ZyThto8QVu0y8HpCPk24luGyfgbO22TipNcVb6zJwRtQFf4lz E2PwVTgV5Ykj66twwb4aA+t9RD1thPddNDhvrcOH9pnD75hU4bKjCieNMrFj eRK6hyzlnsc8/+HIuyjlfWg62Z92aI92j3hUST8ns1ZJv/RPHMRDXMR30q1Y 4iVu4icP8iEvWasInuRL3tHJDlIH6kFdqA91ks9LE7pRP+pIPakr9aXOUm+h O/VnHPR14r+pXTjHIuLLODPed+ZYbp9t5PfelvoI1GcYwP/YcqzreAYeW6eL 8bkYs2+bg4YhLWL6VsCj+ykxnp82ajw/FevFsbto6719ArIGliG/+GlEDD4J 120TELXHCqqYVdCJmqHW6m5Umoq9zRi0GjyEZqM/otLyLllTVMt7xe5CqeO9 qLIQdQ3vGzP8GRp0pojeMx+ONRZyz2Oe53W2Y3v2qx6uhWiv2fiP0j7nU6Q/ 4Zf+iYN4iIv4iJN4iZv4ycOra1StwjkkwZe8GwV/r/45Ug/qQn2oU33GHGwW uo3W8c7242769wIBu0/ugk9cBFRBlbc8t8L13zmRbWh5rBQ9v0mX7xvpuFuJ wbu06LhXiR0zV4nxN+cmlmJotgUactYjvX8KSgu90fq8BRpjVagymYVdZkuw OTkM+VkmKNJainG+BUoyrVCUY4GQ3FAkh5RBGViM1OgcVBQEYe9UI2HXEIcn cq7DFEfE58BkExyebDg8t8J1NOL3usDSIz6tYryfscQLXfenijpEjd7fq9Bn 6CL3POZ5Xmc7tmc/9qcd2qNd2qcf+qNf+icO4iEu4iNO4iVu4icP8iEv8iNP 8m2MU6H1uIXQwUvqQV32C32oE/WibtRP6kg8QlfqS52p962uu9fPsVTCJz4C u17eJeN+Z67z5rcf+h70kXXfH536FFvvTpbjar5vZOi/wtD3p3gU/SEVxx5Z iCNjl+PI5CewV+RAd4IbSuomo1G1FppnndEanoLO2VNxaN4i9AcHoDHGFBVZ c1FSOh71kZZoSTSFLtkbJd4KVHmmoyIgHhmFsfIdp88/vABdIn/rZlihb5Ix nhu3CH/5/QJUrJyL1AWBOPDLWFGLfLtW+Xf1ykjNwn7sTzu0R7u0Tz/0R7/0 TxwZRbESF/ERJ/ESN/GTB/mQF/mRJ/mSt/qAMxqVa6Ue1GXf5GVSJ+pF3agf daSeUlehL3Wm3qP1v6VYizjfWcdyi9vwu6A///QLnMj2xynzOpz9X9dJNOm/ zxfX3zdpwXtW1XjPthhnHLX40E4j73c665ApPkqcsVfjkmUODsTG4eVUH3yw tAsXzZqxf3499s1rwCWzFpw2bsTHq7pEDZyMSP9AXFjdhbPLG+X4+72VbTi/ uhyvWqSjY0YqPjBPw0HvOlErVOATWzXe8onCqyorfGidLfqJusIyD+85KfCa ygGNfSH4i9IGHWFLcWJZIa4ILGeH51VG6pWPRF1yYLkCeyxT0LXHUu55/NGo eoUf9mN/2qE92m3sDZF+6I9+6Z84iIe4PrFTi5qpAge96iRu4icP8iEv8iNP 8iVv8qcO1IO6UB/qRL2oG/WjjtTzjOSilLiot9Rd6M84MB6MC+Nz9l/ULYwv 48x4M+7X78yx3AabPgZ/u/oFcn1nok89H5GHF8B1yxR4slbpmgH3zseQ0J+B +LoOhPSZwrV3EjzbnxHXpn1rbL++5xm4tpggpcIA0bufRujgBKzdOhGRuy2g i1qJApPfihrjLjRYP4AORxuUmIhaw/wu/foTq3ugchiLnNV/QI3pXai1FLWI 0b1Q5MxCzPaJcKyzl3se8zyvsx3bsx/7006NsEe7HQ420g/90S/9EwfxEBfx ESfxEve3a7Bpkp9r72TJN76+U/BXSB2oB3WhPtSpT71A6kb9brxM8872o276 ea5rqOrPFb/nsuQa8VubWxGfyGKUunSg8zffvM+98+5MDN6tFf/XoXm6E45O mI/9Ty7BnulmqI+IREW2KTod16Cl2hfK7TPku0wqRa2bkO2F3cWxaMpyRX7h WlQVO6JMa46cbBMEKWOR6FsCTXIZ2gI24sATi7B/2go8O2G5qCOW49lnjHDw KRMcnGKI2vEh6Pqt/r4u+V75u0QN9fs0pC31RNuYTHSLOmSrqFO2LXORex7z PK+zHduPvI+edmiPdmmffqQ/4Zf+iYN4iIv4iJN4iZv4yYN8yIv8yJN8yZv8 u4QO1IO6UB/qRL2oG/Wjjp13D/MQ+lJn6k3dM27hfff8ML6Mc6WIN+N+Z57z 5rcbcyuDL+rnVm5x/MrxMns8G70D238ShKFfRsqx/v6fhqHroXiUjc3A7ofM 8fLv52PblKfQN38atnqEozXeGHtWWYu6diNC2peiI8UNW6qWIyfBA4eU4dgW 44KSfGOU1BqgJskIDQlG0Mb6o8wlFfmJWcgLDMeL9/GZYEvkfMcRzt9MMUW7 yLW2yWZQLnQVORaG/f8Vgd3fqVVupl7hh/3Yn3Zoj3Zpn37oT86zCP/EQTzE RXzESbzETfzkQT7kRX7kSb7kTf57VllJPagL9aFO1Iu6UT/qSD2pK/WlztT7 Om6tXpHxvjY8x8J435ljuent+vB3YGdf6MMJz9D/dW5Fjn9XteG0aTNO25Tj A/ssfOigf//iOT6Xa7VSruc4Z6fCeTv9u04+Ms/G4VRvnNDa4kPzEnxgW4NX F7dg5yQ+F4v3QzXj3PImvOW6Bd4KaxSp4nHOrBMfGDcIfy14x6Iel9ao8YaF Ev0zEjBgXoH9CQ24aJ+Dl9Ps8NeAEFy0zNa/R1J8Lgks7yxvQH99LN6ufwyV wUZ4zScE52yzcd46S7/unetTBL6PhN0DBhl4wSYVW/ZayD2PeZ7X5Tsf5fxK luxPO7RHu/11sdIP/dEv/RMH8RAX8REn8RI38ZMH+ZAX+ZEn+XpnWuFNwZ86 UA/qQn2oE/WibtSPOlJP+Q4Zu2GdZU01rL3AwngwLowP48R4nf0XcyyMN+PO +N+ZY/lxt+vX9fq/fWYfSlf8AlsypiBwzxy4dUyRcw28H8q162moBjcgOH8Q YZGxSGqyhPeO+XBvn3BjnYdn51R4b5sGH91URNc7w3fPfHgPToLrztlw7pmA sH12UIQbo8L0Vyg3vgddVsvRYnc/ykU9USj2KusHkWHx8PD6+btRafY71Nk8 iPR+K4T0jMPa5jVyz2Oe53W2k+vzRT/2Lxy212J7v7RPP/RHv/RPHMRDXMQX Xe8i8RK358g9YJwrErzIL6nJSvINKtgh+VMH6kFdqA91ol7Ujfrp9bwzVvox t2vX9femnLpwAgFJ0ci81fetcK1GYD6yYhrQNqMG3b9MQ+cYfc3SOUaJvjEa dP13Nloe34jtyy3R7+WNJo0Pmot80G1khVqnSajlsyYGxiG/zAhZGjuk94xH c04gBgwd0bfOG/t9XFGY7ocdeT7IzbdHeJYOWcHt2GVgKmqHhdjPdzeK+mHf 1BXy/YuHpixB9zOu6PhdDrbepdaP8Xlf1+/U8n6vkimBaLlLh567MtEj6pQB Ua9wz2OeL5kSINolyfZdwzUC7dAe7dI+/dAf7wuT/gUO4iEu4iNO4iVu4icP 8iEv8iNP8lUJ3rU6f9QJHXqEHtSF+lAn6kXdqB91pJ56XVVSZ+pN3dNucd09 45sZUCHjzbhfH86DO9u/3r5Zt3L6m7mVWxm/jry36qtr2D4+G/t+Goy9vxD1 yi94P1U42h6ORe09qdhztzMOzDDHDidntKvN0J3mi90GZuhaNgFtmZ7wbZ2F tGIT1CWaoKjyKXQnbcLQdBsMmXphr5sddBpzDGhcUJ9kj8LUWKRFt6J/qhlO cp39gwtw7OFFsm54bex8bJ1khNQ5PohZ7out94nx/c+4liZcrqW/pfmV4X7s Tzu0R7u0Tz/0R7/0TxzEQ1zER5zES9zETx7kQ17kR57kS97kTx2oB3WhPtSJ elE36kcdqSd1pb7UmXpT99FxuKmYXx81x/Lqrc+n/f92k79PruK97ji8aVSF D42/O7fSJL+P5/f2p60rxHhYh3MOCv2zg+V4WX1jLmL0h2Pnj8xyRS3rhmMa B/H/HHzolIm3bAtFbVyP91aJGsiE937x3rBONKZFI1s1DQcSanFpURc+MG0U 43dRH63OxSUHFT6wU6DAohC1YQKLRwZeUpvirE328HhdpX+ul0kh3kgNwMEG U5wy16FzeRxeU9ngpMi9t30j8KFlLi7YaPX3eTmpsGNOOt6wT0frbgu55zHP 87psJ9qzH/u/prSR9miX9umH/uj33HDdQDzERXzESbzETfzkQT7kRX7kma2a iqb0aMmfOlAP6kJ9qBP1om7UjzpST+r6z/QeiYOMi4gP48R4MW76+bJvz7Uw zow34y4fAnvn78qPuo3cO9FzYhAq4zGIy5oKv32T4N6tX8fh3TUNLt2Toe4x RoH/RmTnVaJ86TyEZVsiZIcp3Lfq51o43t/QOx2x9SYI6dokxvPT4CbG9m6D 0xG+c7yoEZ5AwC47JIfNErXGIyg0eBz59g9AIeoMhdlDyDR+CGqLB1FhP0bU Ifeg1ujXyPV5BmmDsxDe8yTWNDnKPY95ntfZju3ZL9NYb4f28h0ekPYrhB/6 o1/6Jw7ikbgEPuIkXuKW9YrgQT7kRX7lS+cLvuUoFLw1gj91oB5y3Y7QhzpR L+pG/UbreWf7cbaRuZXSrTpE+uugvNW5Fb7PPTQfBX6daB+ThU7ORYgxdfdv M9D5C1G73Cv+jkxrgdK3GdWFG1BeYI8irTlKCq3REbQRDWlmKKi2R16xMbQ7 nkJlhjt0lYug6n0GXeHB2P3YIux7YjH2ifHIwdkmaLVxxeGQjahPbEW9fwgG 55njyGwL7JlgiqHHFuLo+EUYnGWIukcSse03udh6t6hZ7s5Czz2sPdQCTwra x4ag/XdZ6BL1Sfd9Kmxf5iz3POZ5Xmc7tmc/9qcd2qNd2qcf+qNf+icO4iEu 4iNO4iVu4icP8iEv8iNP8s0rNkKh4E8dqAd1oT7UqUroRd2oH3WkntRV1ixC Z+pN3am/jMMtxE0p51h0Mu535lhubhuZW+kY+a79VudWhtfZv97+Bvp/Go59 Yiy9l3MZ/xOKZ38ShLpH01G5sAyNDuJnJt0TbUoLKOqeRlOmCXa4eaMn0BSN ueZIyTHFhob5KFK4ol5tgIraydjp5Y9DYwxwfMwCDD1hjMEl49FmaY7jnv7I V7Shb60fhiYa4cUnjXHwj0txcswsDDy5Evmz7TDwgA/aH/dAyYMqVIxNF7ke hwM/C8PQqLrlf11vLz5sx/bsx/60Q3u0m0f7wg/90S/9EwfxEBfxESfxEjfx kwf5kBf5FQueGxoWICXXDI055lIH6kFdqA91ol7UjfpRR+pJXakvdabe1F3e HnEL6+5l3K99J+535lj+9Tb8ne7nlw7gZd8wnF3egzOmjaPmVMQY10jUDJZ1 eN8+F+fsR+qUf16jfLteyZTj6yNaJxxSO8v/n7VX4vIaBQYNsvDaklac51oV 0yZcWCx+F8fVoVw9G7ktZjiYWIWLS1qG7zmrwhm7THzsosRh/zKkL25Ct8od 74duxDmLXDm3wbmFs5ZFeMfHD7t2muNQWANeXpqGocWZuGJTgLe8Y/Cq2gKv Kq1wan0CLljm44y1Gt2LU/H22nQ07bCQex7zPK+zHduzH/vTDu3RLu3TD/3R r5zb4ByPwENcxEecxEvcxE8e5ENe5EeeFZrZOBxfh4uCP3WgHtSF+lAn6iVr PqEfddTXK5n/VnvGR8ZJ4GLcGD/G8ezomsW0UcabcWf8R+fDne0/v129+rXc 728vQMGq30A1sBYhOx+B59bpN+Yc1ndPRUDXLBQvm4yMfA2iwsOgNHgaSf4L ELLZAb475sOt/Wn49cxEwBZbeFaZILRvFdZ3TYJbzwz4D05EfNdjiO5/FMld y1C9YTXSzVcgw+R+KE0egtL0QflRm42V6+JrufZ+2a9QqFuG6N3PILxL1CvN DnLPY57ndbZje/YbsUF7tEv79EN/9Ev/xEE8xEV8xBmw2UbiJn7yIB/yIr9I wTMjX4siwZv8qcPIXBL1oU7Ui7pRv9F63tn+72zXbzyj9pvPdfH39eq1a7I2 HP356upXuCrGqW9degkBqVFQBFYg/RbnVtIDC6CMrULtqjZ0ifG0XLvyKzGW HluAmhUtKNzYi/yYNiTHliApzxkVKlGr6GxRoDFDS7YPmkrXIa11CirS1kPb OwU5dUtQmbIeyXVzkLnZBP3OG3Hk6UXYP8UQ+yYb4vC4edi51BaVNV6IaPFA R5YTWvPC0BjghcMbNqHZdDU2P50q6o58dP88Ddt/oUKPfBeMBv2i5qgcq0LH E/7o/p1Wf8/afUrsWL5W7nnM87zOdmzfK/rxPjHa6f653m6bsE8/9Ee/9E8c xENcxEecxEvcxE8e5ENe5Jddu0TyJW/ypw7Ug7pQH+pEvVJiSqR+1JF6Ulfq S52pN3Wn/ozDLcVNxJnxZtwZf+aBzIfv5AjzRk7sj86n/089B3mE13fOCs58 dtrI5+urVyXnY6+8g+dffle2+fa49Z/b+a4vVoU7jeuw+yd8J2Mo9vwkHDvv ScHAnEKoo0Rdn1GOqk3pKE61le+Br8majYZEQ2xL9MLWTBdRx05CSaoLXOpW Yl2dA4qS3FCsnY6S0lUYMvPCS38wkM8RfvZPhnh26t2osTNGRUkQCvIdMZBk j97kIPS5OmCndzAyLNdj6IFwtNwfir57VuPYT8JEvkeh/I+pIv8z0H9PHJ79 GWuT8H/6/hWe53W2Y3v2Y3/aoT3apX36oT/6pX/iIB7iIj7iJF7iJn7yIB/y Kkp2g1utPVwaVkre5L9V6SL1oC7UhzoVp9hK3agfdaSe1JX6UmfqTd2v3YjV zefEN3Ms78r4Mw+YD6Pz4/o/rWFuJidur43fW1y7evUffuZvabumn1s51RGD N1dxbqVt1JwK64VWnLYrFWNkfm8vxsl2/75OGV2vXBbj6xc09jiU7iXnCc6I 8fcVRw32L0vFs6tycM50s3w+71mjJrxr1Y6y9gAUblqC8s2JeNW9GRcMhX+z Zrxvl4VLzgq86lWOoaBSRAqbx1el4oqTwCNqgbNW+Xg5xB8vZ5hib1A93owt wwGDZLxgqsBlJ6V+rb1VLt7yC5Vr4v+csRp/dkzBzqlZOCPs1g6YyT2PeZ7X 5Vp+0Z792J92aI92aZ9+6I9+6Z84iIe4iG8ouFTiJW7iJw/yIS/yI8+yjiC8 a9ku+VMH6kFdqA91OiPrlRyhn6fQcbXU8+bqleEP3/nCtTWc3xFxZDzPyue+ NQ3PsbTJuDP+co7lltcpj8o7/h7m794736d9r41rxHkHzd4CV2Sv/iM02xch anAcvLd+c4+Ud9cUOHfPQpCbAXItbBHRkYF8IyuUL3sUmeaiDlFbI6jfDL47 ZyGkYj782m3g32kLr56Jcg27x8A0RG17EhFdTyBp+zhoGiNR6GgChfF9UJl9 U68oTB9CpfkY1Bv/CmW2DyGt2xhRvQ8homeCrFe45zHP8zrbsT37jdigPdql ffqhP/qlf+KQa+oFLuIjTuIlbuInD/IhL/IjzzxLW8F7DlwEf+pw4943oQ91 ol7UjfpRxztr7r/fxr+hXw/XINeGP9/3b2NpZzZiN+VCF8j3hnD9vH7eRBFY LJ/JmxksxrYhBfI+otH1DNd5pwbnIye0DR335qD710o0TqpGhX0H8kM3i3F0 tbBZBLX4JAWUIyUzEmU5JijR2KJIZ4VG8fu3TxeCuI4pKMi2Rkn2amTuHif3 xVpHKHseR3mNq3x+14EJC7F/2nIMTVyBzjh/FBSbIVQdjYwMf2FzOery16Cg 0glBumSUR22HwqUJg+atKJrbjt4/5KLj/hz0/VSDwkejUT1ZjNl+KeoQPt/4 90oMLlsj9zzmeV5nO7ZnP/anHdqjXdqnH/qjX/onDuIhLuIjTuIlbuInD/Ih r5IswXPPOJQKngXZNpI/daAe1IX6UKcUhfh59C+HSuhHHVVCz4KwzVJf6ky9 qTv1ZxxGr7uXcQrRx43xYxwZTxlXzq+IOOuCymTcGf/vt12/kXvMQ+bj7fjd 83d/VvTb98ApflVt3/dX+ef33/G8Ju/fH2lzXX6nz7UT5964gsGfR2PovyKx bZyojU3L0eRbigY/FRISs5ARr0TlOgWKY3zRHmuK0oJZyM6fj22Rdtid4I+8 smfQmGqC8JJ18N1mgLgiZ9RnWKGyYhzasp2xc5oDjv9R1CwPL8HBscuhaLRB Vdkc5ISHiLx1w5akxSjNd0BGjQeyE0Ow1WczCr3j0WuThdZJJTjwm1js/3UC On8ehcr7ElH3hxQM/lr/npWdvwlH0pJ1cs9jnud1tmN79mN/2qE92qV9+qE/ +qV/4iAe4iI+4iRe4iZ+8iAf8iI/321zECH4NqSYSP7UgXpQF+pDnYpjNqLS VSH1o47Uk7pSX+pMvak79ZdriK5+Mw7X16b/+jvga7KNPv74Xn+yrt/Ii9v5 Z2X09u231lzjl4t8KLRckyDz+9p3ahq50+v4GedW/EJHza00yfXapy0axDg7 D+cdFHKtxE2PkUfVKxfN8/GqyhYHEwJx2SJbzhdcclTjpEkm9i1MwUXHQrzH e5VMGnHecDMGckuRl7oGjV4+aG7OxWmrVvlMrHdsKnBxTTpeXV2NE8mB6KyL RKeBBs8Zpgt7OXg+2gPPx7rjvJ0OJ9aW4bRnFgbmpuIdKyUucE26nIPRv9vx jHUO3g4OxK4UI3R5rcYZvyQ07bLGWbHnMc/zOtux/Xm55kVvh/Zol/bph/7o l/6Jg3iIi/iIk3iJm/jJg3zIq8FrA/LS1gq+woZhm+RPHagHdaE+1EnORwnd qB91pJ63VK/cqFtUMo6MJ+N6ZuT+sJE5FhH/z0bPsdxYrzz8vde168N5pM8r mV+jvlH4f8PIUH5zd9vWUtfke3K/vPYV6lMmIztJ1Cp7piFmq6hXur95TtaG jklY078Y6xMsUTVtEuKzwqHI8kHJvOVQmz0M7ZJ7keA+D9GNDoivXoaA1hkI 6HCBb/dMMbafAvee6QjcPhExPU8gvPcRpDUtREmyBRQr74PS/GF9nWHyINKs HkGl1b2oMfw5spKXImHXTER1PyrqlPHD9cp4eczzWUlLZDu2Zz/2lzWLsEe7 tE8/YcJfrPBL/8RBPMRFfMRJvMRN/OShEnzIS5G1QfKsmj4Z6+MtJX/qMKIJ 9aFO1Iu6UT/qqH/v8O0Z7+tybcft/Tdl9PaV+Jz/6mt8eu3v+PvXX+CrLz/H 37/4DJ/97VO0HTmM+mO70PTSINpObkP7K1ux5WQ/ak5VwanWF74pWmxMzkJw ZAkSgkuhCMtDWmQ+4iMLERdSgZSASmRw7BxQqn/WcYAYEwfkQhNTgFrnXlTN bUalVzuyYpqhiC7TP7cqqBB5oo82pBTKgBKEpSmRJ+qSco0NCnTmaFH7YKdD ALKbjZHeMAc1nGPpnCk+M1CX5o5c0Tam+xl0Zfjh4BRTPDt+IfpXihqhYIMY 66+EJjkGYcH1UGl8UK5zgF9mNJJD+KyyXCjCC6CJr0FKeA2aI3qQ7teN7pWN SPcugHJ+InbfU4n2X2Vj68+SMDTPWu55zPPKBYlI31Cgby/6sT/t0B7t0j79 +GVGSb/0TxyapBiJi/iIk3iJm/jJg3zIS9s1E7qOmahNXS955wj+1KFF5SN1 oT7UKVToRd00Qj/qSD2lrkJf6ky9qTv1ZxwYD8aF8WGcGK+UgCoZP8aR8WRc GV/GmfFm3Bn/mlPVaD85IPOC+cE8Yb4wbz4X+fOVyCOZTyKvPr32pcyzr37s hP+B2+df/h2Xr5zHJx+dlfO8cix59Sv5c//2+29j+5Ft2P/idux7oR8HX+xH 7cFOpLeV411xTY5fh/9O/f2LT3Hlo/dx+eML//g9+/Xro/5OA8ei9qJtsg5d LpVoCCxEZYACpRuSUOuWhPioPKgSNKhzS0dWRDSa4i1QrliF6qypYnzugwNG PqgpXIWK7OnIV7gjpMsQiVsWIVPjicoUc+SUT8T2iA14/pGVOHH/TGxZ7or8 3EDU1P4BxUnrUOAhcifHG1k5q0X++KLcOw0F3ilQKrxRH65E0UYttvmXomxd NfYu1mHbggo0PZKBqiezUTMmHQP/EwzlPEcM/HewPOZ5Xmc7tmc/9qcd2qNd 2qcf+qNf+icO4iGu/NwgiZN4iZv4yYN8yIv8yDM/013yJv8Dq3ykHtSF+lAn 6kXdqB91pJ7UlfpSZ+pN3an/cGCGh03XvxOu6zKOjCfjyo1xZrwZd8afecB8 YF4wP5gnzBfmDfNHn0dfy7xifjHPbvdtZMx16u1DOLqjTyQ1uZ8Vn/P4+1fi Z/9/+TP4D6e/5m+Fq3irOxJvGFfgQxP9GPYDoza8Z1mLs07Dcyo3ce/Xt+oU uZ6d3+srcMUkCx8kW+LlkFB8YqYeXheuxrtWKvQuSJNrP95bLWoW4fuCYQte 3FSDuupMNJiuRleyEi2bU/RzPCbNco35AfdGHG2xwVB0Ed7yLEavQRraws3w lwh/nLHMx0drFTgaUYM/m4l6ZUGKnFfgWJ3P+/pw+BkAFxyV+HJ1Hg4Za9Gz 3hv71SuRUD8fQ5qV8vigOM/rbCfX0g/3l3aEPdqlffqhP/qlf+IgHuIiPuIk XuImfvIgH/JqMLVDfZVS8iVv8qcO1IO6UB/qRL2o28vBoVJH6kldqa98HsAt 1S36uRbGlfFlnBlvxp3xZx7IOZavv/rXeTO8Mc+Yb8w7mX8iD4/u2CbzcnSe 3m6b/lfJ7TFW/Gdj1r3tUYhtnInogccQ2fWkGJN/87wsz/ZJ8NhhiMg0OxQs fQJqU3NEb41CvLMRFCtMoLN8CBrDe6Fc9UfEbFqHzG2hCOx3xaaepfBofxrr xXjNd2AKIrc+jqSBicjcsgLx24yQ4j0D6hUPINP8IShFvaFY/ShqjH+JatuH kdLLuZVHhZ8nvlWv8JjneZ3t2J792J92aI92aV8h/NAf/dI/cRAPcREfcRIv cRM/eZBP/FojRG2NhMrUTPKNTLWV/KnDDU2EPtSJelG3vVuibkrnH2O7XfLu n20j38kd/+AUivcdQv/J3Xju9QGcONmL5r5iRJf7Q1XnhpKytajLW4umbGfU a9cgM8kSilQLMYawhkbJjxWUqeYIaXoa6lI7FOU6Ilu3GjlaBxRpHFGUbQdN 6WpEla1DqCoM6sQYZGjC4JuegZjQfKQlFCEjqhnFwUPYEtUPZVQ1MiMKkCrG 8ulifKB/f2QxtJvKoBPj44ygIiSFF0FZ4IhSlSUqCldjS7AHdo43QaPKF0k9 k1CicUCJ1h7KHU8iv1DU+goXZFcugHJgFqr9grHnkYXoDvZFCdd2KE0RnyPG M4E18FOoEJSbgjTxe1oZzPui9PMIaQEFyBRj/IygcqSF5kIXVYvo/DQkpZej OGQQhVZN2L1qMxLWh8k9j3k+Ka1ctmN79mN/2qE9/TqRYlETFEh/9Ev/xBGf 6ylxER9xEi9xEz95kE9+gSWUO5+UPMk3WfAmf+pAPagL9aFO1Iu6UT/qSD2l rkJf6ky9qTv1ZxwYD8aF8WGcGC91QoyIXyiiStfJeBaLuBapHWWcc7PsUZjn BGWJHUKZB+kW0KisoBX5oRJ5ksF8SbJAk8YJzdq1qM1zRrHIK+ZXlMizJpFv J072yfzbdnKPyMfDMi9H5+mPuV0bqREuv4Oqk/uw681BvPjSblFvXcMX+BLv nj2GvUcq8dbrO/+h7xeff4ZLly/g4seXcOmTSzh34RQidDZ48TXR/2+fDM8r 6b/PuPD+azj+XAsOndwl7xOCGKseP96BUx/8Rdr6O8TY9Uvgz90fYodfPar8 tKjclIoyr0SUe6aifEM6atenIDY8D7o4NWo8UlG8MQ1VqXbYHLcCeQ0z0Oux Dof+sAI9MV4orpiAcr6LJH8tortnIb1gNRLVnqjVzUFFw0x0OPvh6N0GKI4K RYPKDlsiVyGjzkDkqQYRGZnITt6EcneNqHfTUe2bhPQ0HxQKHFWeKSj2Tka5 TwJqg9Qo9s9G3/o8NPu2Ic+hCCXO9Vi9Lh4lLnXymOd5ne3Ynv3Yn3Zoj3Zp n37K3dXITtko/RMH8RAX8REn8RI38dfqDCQf8ooR/JIFT/ItEbzJnzpQD+pC fagT9aJu1I86Uk/qSn2pM/Wm7tSfcWA8GBdujBPjxbgxfowj48m4XsfIfYFX ZdwZf+YB84F5IfND5Anz5bsb84r5xTxjvjHvXnxxt8jDAZmPzMvRefpjbvIe MLEd29KE7Ik/x2a3pehzTEWPMhodVa443ZMB7KzGp4eq8cabVTj2XCcu/lXk 99UPxR/Mc/jq6qf47DM9j08+OYzXPGNwaf52nF/B94JswSnrajE21+CinX5O gs/I4rsTuc77X46RWaeIMfFFm0xctlfgA2c1TmyowYAiFPVhlTjhW4n3XbS4 LMbkl+wU2DY3De9YinG5UybetayR7w75wLgVW2qzsdUzAR2rPLArox59qhxc XNSLc0ZVGChIw2DDBrztUImhyHq8VbIQm+02Ymh2Nq44irH4GhV2aZtw1FyN ffPT8JGTWj5D67KDWt6rRfxvmitxzCQDW6Yko3mKBv0LU+ERsBDbxJ7HPM/r bMf27HfZQW+H9miX9ncLP/T3kfBL/8RBPMRFfIONGyRe4iZ+8iAf8tq6PhGb a3MFX/27H8mfOlCPPqHLZaHPZc6HOGulbvWhlVJH6kldqS91pt7n/kVMZO3I 9fkO+jgynowr48s4M96MO+PPPGA+cGN+ME+YL8wb5g/ziPnEvGJ+Mc+Yb8w7 5t9m96UiH3+G57Y0fitPf+xtZKx6/uNXcfbyC9+6pv8e68f5mf7m/c/XcfXq lxh6vQn5h5uRfrQdaT3LkCjGGzED4+HePVmM76fo6xYxTt+w0xAqpRN0Ylxf vGgpFNG2iGjyRdmiWWgwWgyN2R+gWjUGBWYrkbPGDknJaxDTkYiNuxbAU9h0 75mM8N7HkNQ7Gap9fohk3dJogVTjh6Ey47zII9Da3IdK0/tQWGuN+B3jEdH9 uKhPHpd1ytqGkXrlcXme19mO7dmP/WmH9mg3cmCS9EN/9Ev/xLFx9wLEtCci KWmNxEm8xE385EE+5KWItkHJYkNoBV+Vykny19cr06Qu1Ic6JXZPQmqPIVIP b5E6Dr3eKHX9Zr78x6qfr//DM5KYh8xH/dUf/28KtxGM73z0CqY1rcc6xUYc CFyDw2tMUe9qBl2KL7pyQzCU74dWUXdka+2QV7gWjeWuaCpzRlWRPapzrVCm soGycjHUzfNRrxLnxXFluqgjxDi2SrUa5eJTLf5frbZClc4MpTojFBYaIbfM EfW5m1CWHoLSpTFo8smBvyoLKcH83r4cSv9y/Tsdg/X3jal9SqAJLhP/L0Si uJ6gCkalxhhFBWvR7+qNQw/NQY/zRii7lkJZvhg16W7IqTGEom+iwOGEqkwX JNTNRlGLGQ6tCUCryg2FWRbIy3VAXLkHwrPDUJBjD0WhG0KTtFAFlHz7+WYh ReJcOVQhpUjzK4UyNhYxYblyvK+JLENKcjXW7Vki9zzmeV5nO7ZnP/anndHP 1+K8B/1lCr/5wj9xEA9xER9xEi9xEz95kA95kR95kq+qc6nkTx2oB3WhPtSJ elE36kcd9ffgFUp9qTP1pu7Un3EoE/FgXBpEfBinwgIjlGUZoVLEr4bvqRTx LM+0RbVG1HviU5luJXzZyPgrm+YhU+RDmcpW5gfzhPnCvGH+MI+YT8wr5hfz rN7VHEdE3jH/3DM3YVrzepmXo/P0x9yuDmPY9uphjNWtg3GGL7ZFm6Ij1UPU 7j6ILdRgsLgYb7/4Gg6c3In+17di/8lunDn7ppw7+krO+/J75s+w40gjmjsy /q3Pke/Zrnx2XoxRv8Llt95EV1QwuuaGosMyDuq4BJR4J4lxfSaq1meKsXwa KrxTUeuVjHiRe7nRKlSLsXbxhkyUxHijKd4IedXzsd9qLV747UzsMvNCZfkS VKjnQ6NxR2a5CeJa56BQ64h8tYuI93S05hthz+pAFOs2YkvCSjQlWWNDZQA2 NDuhJGsxipMdkBMai1p3BTRiXxS9SWKp8BZj/vUKVHqoUOzFOioeirhg5EV5 Q63zglodBbumVXKv1nnL87zOdmzPfuxPO7RXLOxqhv3QX0myvfRPHMRDXMRH nMRL3MSfJ3iQD3llVphAK3iSb6X4edll6oUXfjNT6OGMvKoFUh/qRL2oG/Wj jtSTulJfiUXoTd2pP+PAeDAujA/jxHgxbjfzW555wHxgXjA/mCfMF+YN84d5 xHxiXjG/mGfMN+ZdX7QZjMXv7Aez1qH/1cPfytMffeP8kIByrDsQcYtNkbrI A7lz09Exqx57p+Tg2elZOLiyGAf8EnAydBMubAzCmQ3JOCryobfRE4eKg/HV 9mp8XOaJY3G+OBgvxuiuNTi9VoyF3cNx1iUZ7zrocNqmEOesc3HRPFeu9b5k pcN5Oy0+tOUzfrW4YKfCBflMX65t4VqRdLzhkYv9gQJHUh2Ou9djV2woNm+o xwvuVdiXJM771eHNjQLbsjS8bCRqCjGuPuOoxjtWdbi8sAM7MnKxXVmOZhsr HLRRY0u1FvtS8nBxTg+GtqzF3mBRm1jo0LnXBm/EBeIj8yLsXZSMXXNT8J5T Ng5omnBA2H3JRIErfIawpRLPi//vWZSO3vmpGBT1wMEVYqw9LQWnTTLxgn8K nCOXyT2PeZ7X2Y7t2Y/9aYf2aJf2nxV+TjtlYffcVOmfOIiHuIiPOImXuImf PMinxdpS8KsQPPNweUGH5E3+1IF67Be6UJ+9m+qwL5G6VUr9qCP1pK7UlzpT b+pO/RkHxoNxYXwYJ8aLcWP8GEfGk3FlfBlnxptxl/EXecB8YF4wP5gnzBfm DfOHecR8Yl4xv5hnzDfmHfOPeficyEf97Zu3yc/Jje06vvz6E5y78gr2/aUe r5//M+Rc0shVrnG7/v3v078lJNRmeOx88eO3MHgkD5uPqnF4qBSR3WnwLw5A VvMi5HasRlr9CvhtXo5NW2fCS4zLPbZMxKZdhijSOEG56NfIN1+MrGVzEd4e gJSwpchZsgzpZvORaXw3qqzmQzt/MnTL7kKhiT2SkxwQ0mqLjYMrEDw0DeHd jyJt7wYk9TyGhJ3TkRa3BMrF9yJz6f3IXfskcussEbZ9isA0DlFbnxSfx8X/ x8O53k7ueczzvM52bM9+7E87tEe7tE8/4aId/dI/cSQJPAUCF/FpF0yWeImb +MmDfMLbAyW/fItFwuavJW/ypw6eQg/qsknokyp0ol7Uzb/YX+pIPakr9aXO crv2n3pe0XWZT9e/VbNflXm3V+TfhyIPmY+345pJfjOorcmEztMEoevWoHzl SvTMnoeB6WY4OtMGzxtY4OCslag1ckDjen887+ePl3zd0LbeGumJG1CXE4m2 AUu0ifFxvlrEROyrSl1RW7oWJQWiVsm3Q5nGEoVKMc7NckJ9jjuaFYEYcPfA 0AILPPvEQhyauhyN+R7Iz7aCtsAJCepgRGckIyaiGMlijJ0VWA2lX6UY8xcj jesoxBg7RpGC7BxTtOf6YI+BGQ5MXIQ9MyxQme+J5I5JKFM7oVS1BurtTyC3 2hAVCme53iOj53HUNwWiWrceBVmmSCtYD7/0LERn+aNBayxrrIQ8F4TEFkDF dRrD9UW6GN+rQyqgEngSAysQnZoMTYQWisBSxBOfyhcV/ffKPY95Xi2ux4h2 bM9+7J8+XH/J+kfYpx/6o1/6Jw6/dJ3ERXzESbzETfzkQT7kRX7kSb7kTf5S B6EHdaE+1Il6UTfqp/SrEHpWSV2pL3Wm3tSd+jcWeODQtOUyLozPoIhTq4hX Q44HqrLXoDDTGmVaUYfk2oqaaDXqSvTxzhqOP/OA+cC8YH60ijxhvjBvmkT+ MI+YT88bmMv8Yp71zJ6LUqNVIv9EPbPeBDqRj7fT0zNGaoevv76O3J1ViPed C69ARxSYzUXHvAfRO20SthrMxr4p87Bl6kKoF66GToyH97kFYXss3/3hhbDc eDQUpKNBE4XuwXJR+2zFrpOd+ODcW+C3LH+To9WPcf3ri8NO9X83rr36F7wb q8Bzk01w/K4ZeP6hJdia5o6GRJEbaXYojPNGfmQo8jfxfYmZqPNIR/LGLBSG s4ZJkWPsgugQ1MeZYmuBGfpnL8aLDyzA4ceMsTnFHWXF45GtXoNczRpEtc9C YeEyKLUuopZYg7ryh6FqiUOjwgMtCSvgUxKE8FQliuI9UaabhaLcWchPtUee byZy4/2QGRWNclFrVPgmQh0ZhYIYP6QrvJEdv1F8AlAQFI9CgSdbtR7Kjofk nsc8z+tsx/bsx/60Q3tKYTc33l/6oT/6LdPNRLHAQTzERXzESby1ArdG4CcP 8iEv8ssR58iXvMmfOvTPXiJ1oT7USV/7pUj9qCP1pK7UlzpTb+pO/RkHxoNx YXwYJ8ZL/r0f/rvDeF4VcWU1wjgz3ow74888YD4wL5gfzBPmC/OG+cM8Yj4x r5hfzDPmW675PHgFid+TPnORu6NK5uXN1kj/mW0EyWfoiwlFzhwFWtYJjR0d sHtZJQ7P7MPA5CYMTmjBwenteH1BO95d1o33TDrxvlUtzptW4c/OYTge7I9D fkU4mB6Gd+LccH6jM06mOWGg2RD7RP35dqgbLvg54Y1MG/mMquPBsTi9RtQY rpE455qI06wzxBj4gmUOLjrl4VnXLRjc0IFXN1TgnJMGl63z8PkGW5xzTMYV +wxccMnEixtK0Be0Gdk+m7HFIR9XXDS4ZJOO0/b58n0hrzvVoa1eg8Orc1Br ZYV3rXpQ15SOg4kqPJ8QhKGAdrxfNQNHNGE47N2GK6tTccVZg+cN09A9V4XD EbXYMTcJg7PTMLiANUca9oma40VTBd6zUuKio0quDekxTMFZ0zz8NdoR63Xj 8NcoR3nM87zOdmzPfvtkraO3R7u0fziiTvqjX/onDuIhLuIjTuIlbuJ/11Lw sLbCEcGrrU6L19fU6t9nI3iTP3WgHtSF+lAn6kXdqB91pJ7UlfpSZ+pN3c8L /RkHxoNxYXwYJ8aLcWP8GEfGk3FlfBlnxptxZ/yZB8wH5gXzg3nCfGHeMH+Y R8wn5hXzi3nGfGPeMf+Yh/rvBUbn5+23vXvpBLRHG+HfHoUDr23HV199/q3r 10eez3Fd/2wO/XMtvh4e514X9Zi+thmpb4ZX1t2U75HvBvlv735R1x/Kxgt/ 3YerVzmr+wka4pdBk24L3xdWImHbE4jrXohYrSncGt3h32OF9R1T4bdrgRjv 2SNz8d3IMn8KZWJsH79pASK2hiPFdBxUqyxRYv4MMpc9gPIli5HN5wqvnI6i xQZQmT6ERN8lSC9YgfgtlqjoXo+IHTMRtHs6UnauRbTPAsSmWSN2wBwpu8Yj uvPR4VrlCcTw/q/up+FSbyv2T+mP5edJ2Y7t2S9G9Kcd2qNd2qcf+qPfRN+l EgfxEFe2zYMSJ/ESN/GTR0RvuORVtnS55Em+ZZrVkj91oB5uDe5SH+pEvXyE btSPOlJP6kp9qTP1vvadOPz77Zv4jsT86kjcR+XF9eF7zuV9HN+ZV/zqq8+w X+SZf0eUzDvm3+268d6ErwWXgy9tR2uQG3KNjZDh6Yo0By+UWyxG23wD7J68 GIcmLMNzTy/BoSfF306OYx9fhKGnDbFzsiV6Vy5Gv/VMHJtihmZDK1Su24Sj foF41d8T/W6WyAh0RnleLHaUB6A5JwxdbptwfI49np9ig6Fp4vPEKmxz80Il 34WoMkKB2gwVWSYozjaDNtsOcWL8H50i6oKgamSKmkUZJMbcYrwfG16EvCI7 tMSIceEzxtg/1RDPPrkIvR4+yOibB12RqLEULsgqXwH1wHiUqB1QnemIvBIn VKQtR2+kr76WEv4KdbZILHdGWokjalVWqFabIynbC+ER+ucGZIzUGMK3xr8U SaGlcCsLhzo8G7ECl0bnh5oCS2T3PS73POZ5XvcQ7RJFe/b75lnBhdJuWESp 9FOtMket0kr6J45CnY3ERXy9kRslXuImfvIgH/KqVbhKnuTbJ3iTP3WgHtSF +lAnpVwXXyz1o47Uk7pSX+pMvak79a8scpTxGHrcCPun28o4HTewR5eIa3Nu GHaKOJaJeDKug+ss8IqIM+PNuDP+zAPmA/OC+cE8Yb4wb5g/Mo9EPjGv2uYZ oNxyMVIdvWTe5RqvQmuwm8zHr29i7fJ/cht5Xvorfx5CntIV+WsnYK1zItY7 ifGxgSX2TZ6AnQYPYWjWYzgy+Wm8+OBsPPfAHDw/Zh6O/l7UkGNXonuqNfoW 2GPP9MXQLhS1srkndriGYF90DMpiRU2TEYL8Qh0+PnsWHQNb0aFW47ipE448 Yog9j5hg6AFD7LVbhy6NNZpjlqE1egW6Yldgc5zI9QRzFMa4oTgoDCm+OhT6 aVG9Pg2V3unI25iGllRr1CTYYc/MiXh+rCGOPzAXe2w8UVFtgBLlcmi061CY twLhW+ahKdkayVpXaMrEJ8kaB3y9EFvijZxMW3QkGKMo0x6lKY6oVixGWdFk 5Ca7QpXoi8JYX6iSNiIzzQd5sX7QhsWg0idJvne+1k2JQi8tGgTGbJHvXi0z 5Z7HPM/rbMf27Mf+tEN70q6wn5vsIv1VK5ZI/8RBPMRFfMSpFXiJO0ngb0q2 Qnj7PMmL/EoFT/Ilb/KnDtSDulAf6kS9qBv1o47Uk7pSX+pMvak79WccGA/G hfFhnBgvxo3xYxzzRDwZ14oYT+wVcWa8GXfGn3nAfGBeMD+YJ8yX5x4wkPnD PGI+Ma+YXzUizzxEvq11SUKByD/mIfNxdH7eLhvfL8c5ls8/2oGhMPG74bF+ 7LNIQe0aS/Q4+OBNqwa8s0yMaefXoG9qNbaKz8FnRJ0yvxanDTvwmsIf51bX 4bJhGy6tLMIVYw3OmeXhtG0ePuB7213icMk5Cm+6ZuBIdJgYhzvi3RRbXPRd i9djXbCzbiV21K/EW9FrRB3pgc7iYBRVR+FoSrgYKyfjo7UROMv1HX6OeNtR iQ+sSnDePAefGmfhimseugNakOHRiGfDm/C6ZxE+tk8VvktwbkUntpSl4aXA ZrRbeGGnRRROOQygpdcNL2ysQvPOILwR54VPbYowlNCAd9do8VcTBZ4zSkft pAykTM3G5ilJOGaswNsWvJftm3u6LthzXYh+3fy2hcl43y4fx9Ns4F3ziNzz mOd5ne3YfuReMtqhPdqlffqhP/qlf+IgHuIiPuIkXuImfvIgnxMBrWgvTZM8 yfdj+xTJnzpQD+pCfagT9aJu1I86Uk/qSn2pc1F1NDqE7tSfcWA8GBfGh3Fi vBg3xo9xZDwZV8aXcWa8GXfGn3nAfGBeMD+YJ8wX5g3zh3nEfGJeMb+YZ8w3 5h3zj3l49do37z28HbfR6wfahwpgGyvG+unW6G1NxKt/HsQn17/8Qfbld+qj nt3y7Wv6bwjfuXACzdV2qOpJvNHizxdOoTpsBnRL/wf+QSuwtm8+AvtFnbD7 MQQPLEJIoysCe/3g17waobvsUZZlCcXCe6CzGIs8k5XIWjYJoQ1e8rlaxUsf Rv0KE+SLMX6prRMyVz4IndnDKDQyQ7bJo9AYjkHGigfQbPEots8Zi+iohUhL M4Va/I4P2+UCt+3zELxd1CM94xDdo69VonqeQGzPY7JOcamzkXt53KOvWdiO 7dmP/WmH9mg3NnIBdsz5k/RHv/RPHMRDXMRHnMRL3MQfrbaRfHSCV67gR57k S97kTx2oB3WhPtSJelE36kcdqSd1HYkE9abu1H90PEZlx40cufYDc/hTkUev iHxiXjG/bOKWi3zL/8bTbXAP/j/bRqqzy19+jNKmUOy3c8WOmdOgtbKFTow/ 09eKv6uWxmgwFDWJwVIcnLIch59ZjgNTl2No6jLsn7QcbWYPYXDaQuyfuAyH JhniyJMLcOBhA+x7cAH2ibHrlnUb0aqJwJYiDxSoxM9BmhX25nlhR0k4CrTh yAv2RF1cLArVkdhVGInd+T6oVNsjK9tJjE2c0VBqj5IyUWfkrUdCRgwiInKR 4l+MxJACxJWGYK/7OuwfN19gWoYDk5dgyMAOpTVrkNo8HVXKtSjPXAN113To muaLcdlqtGuDMGg0Fy2OE1CqDUZJloWoDWxQmm0Kf20iktOjUZhjhVqdMdI1 vogKqZT3TbHGSBfjfk1IDTIi8uBQHYrgaFE7qTeiMkeM+XMFxoFH5Z7HPM/r bMf27Jc+XKvQXrSwmybs0w/90S/9EwfxEBfxtTiOl3iJm/jJg3zIi/zIk3zJ m/ypA/WgLtSHOlEv6kb9qCP1pK7UlzpT790FPthdGIUiEYe62Bjkirjka8Ow XcRpj4gX48b4tYs4yniKuDK+jDPjzbgz/swD5gPzgvnBPGG+MG+YP8wj5pPW whgZIr+YZzpLW5l3zD/mIfNxdH7eHtt1uZbmb19+gvodDShxN8Exg3uhnBsM DzsNYpcmo32cOw48sgJ9cydh97zH0bdoHIZmTMCeSbNxYpyoA6ZZ4/DDS/HS A4vw2p8W4jUxLn3p7uny+/lDol+nxQa0RgSjV7cGuVox7ha/S5q1gejWxCEj Kw4RaZuQkpWEDF0sOpUxaM4ORlauC7KLxc9JjjNaxfi9XmsLlRibFyT5o2hT PCrdUlDpkYTidF88Z7Ma+54ai+ceNsTzD87F0aet0KJ1REXhFGRo3VGVshqJ TYugKjfEliST/8Pdm4dFdWbbw/37esjtTndiJhNjTIxzVJxnRGSGYp4EcUZB JgVknqcqKKhiKCjmGQQVQVEc4zzPxpiYebJjokkcknS6+/btTtZvrxdJm759 v+95vr/iLZ96juec97x77bUWxd6cOucgqzwFfQ6WMCyaLb1FHHYkOqIj0Vv6 AOmRs8OQURKE5tqXsWPTIyirm470lDQ0rk1HVahWYhagMVjb/z2q4DyUhutQ l7ocPTn2yCsNwKJtc9WS69zO/RzXP77/eM7D+Tgv52ccxssoDlLxiYN4iIv4 iJN4ibtL8DOPjM75aMrxVfnVSZ7Ml3kzf/Kg+BBeyA95Il/kjfyRR/JJXskv eSbf5J38UwfqQV2oD3WiXtSN+lFH6kldz4i+1Jl6U3fqTx/QD/QF/UGf0C/0 jfKP+Ih+oq9SxV/0mX7WeuU7+q/tQLvy4/c/3jP4Z/b6vv937leXW3HUIwF9 I3fgLYeN2BUYhsqghTjknYqvNL34xmUbPnZqx7blfaiyOoZ8DzPKRIcuq33Y u7IZp+Mb8Xp6DT6Rz7Abiwz4hM+DDzDgjl8RvnYtwDfOBnyjKZW5yvC5Z7ns N+N6gNS5i1PxQVQ22qXG3lFQiHMlgfggzwtfRgbi49hlONSkwVt1o/Ce9Li3 1i7HZ2k+OF/sj3Mp4Xh3bT4Kg0vweqIWB5KbcSK6HZ/6m3F7Xg/ORkoOJdI7 2XTBvGQhrnk34HT9Yuzf64tdOXW4GlCH123T0S69Qamf9C0zM3FyYR4+DC3F ZocqbB6Tjtv3exR1vfzANffy5nmTd3nOZIYO3y3Nwt56W7hWOKgl17md+zlu 4JiBOTgf5+X8jMN4jMv4xEE8xEV8u3LqFV7iJn7z0oUqn13F5So/5sl8mTfz v5Kog35VieKF/JAn8kXeyB95JJ/klfySZ/LdK7xvFP4/WJet9KAu1Ic6US/q Rv2oI/X8MrBf3xui78eiN3Wn/vQB/UBf0B/0Cf3ysWO78g99RD/RV/QXfUa/ 0Xf034N+/Dm/1N/F7/99/eLHryMmxQFrgy2QETIe1eFTcaA+GmfePIprH5/D u3+7i7/c/Riv7a/F7c/fw1//dhs7r3Xh8PvduPRRF/70py/x9X9+h7/zuz3/ 5m/2A/ee/Mf9v7m/89nryMmdgAP7UtT6J999iK7tmShaPAyNto+gzvsJGP3G IGOfH5bteQXrjk7Asr6JCO+diYitQYjpdUP4gTDRPB5F1k+jwPkpmFxmwLxw HnKXSs9yOAnZAWNgcJ6MLBd3VFjNQKWzBfQuT6LMaQ4qHOejyGUw8t2kf/Ac hY6pz2Cj46/RbvMIWuf8AkX5CxF8wBLrdoxBWt8IJEg/ksTzJw/2Ky2eP/Yr Sff3cxzH8zgez3k4H+fl/J1Tn0anxygVl/GJg3iIi/iIk3iJm/iZR47kUyl5 lbtMV3ky3159vMqfPJAP8kJ+FE/CF3kjf+SRfJJX8kue+XpVeM/Jm6B04Osf //jH/3zPSdGTulJf6nz5o37dqT99QD/QF/QHfUK/0Df0D31EP60Nnqj8RZ8p P/zw839+3gAXh062otG4BDsXLsXBCbPQ5DMLGd7hSAxIR6omBsULAlCzwAnb 5trh6ESeb7HDbstp6HYcj+MTnHFi4gIcHz0fxybYY49TIPrWh6KzNBSNlQGo NmpQXuiKGqMHqko8YTK4obxIA3OR1D+1K7HdKQjHLFxxaZYvrk73xMEZUqv7 BGPP2ii8ERmBy8sWo3mNPwqLItBel4mWkmrkR7WjmNcIuvnj5BQ37J+swfGx Njgm9fO24NVI7ZuCYukbWvUBqCxxhfbVF1BR7Yk966Jw8mU3bLEag54QV2wy rVHnFmqKPFFd5omkNBMy003Ir/BDc4kd8ovCkBrdqM6NFMRUwhDVgpxYM4La I5BSvgyNBhdUF/mi0eQPs/QrXKp12c79HMfxPI7Hcx7Ox3nV/BKH8ZLkzfjE QTzERXzESbzEXVHliTzJo7KEeS1S+TFP5su8mT95IB/khfyQJ/JF3sgfeSSf 5JX81vqsxmHh+zXh/eJMXxyb6Kr0oC7UhzpRr6piT6UfdaSe1JX6UmfqTd2p v/KB+IG+oD/oE/qFvqmxdoJRfEQ/JS5KV/6iz+g3+o7+ow8f9OXP6TXws3z7 xnls29MOk8YZx+WzbsdoH2TMS8Mqf/ldOi0Thx+NwsGnA3BslBX2TZ2Ic5Ne RotmLNrtp+HIZAuce3E2zjxjiYvP2kstsQiHl63GrqxV2KbzRleGAzYmO6l7 63aniQ/k82RTmj26shZK/bsUfXMCcXioEy5YuOH0XA02W7kizycCmxdvwLGw DeiMC0b8umAkGRLRUpyDSn01MpLrUFZWiAOui7DJfjwOjLDHuSELcHnQdBz0 X4aq+okoL3CBqWgROrMcEbbDAvUm0ToyAcVDV6FtlgVOSK5N1V7iawsYGy3Q WD4NmfpQFEdnwlxmhY11z6ImcS0qgw2q52gIyVbXx9cE61GxIQk1OT7YmuaA thQPpDUuRtiB6WrJdW7nfjVOxvO4/uNz1Xycl/MzDuMxLuMrHIKHuIiPOImX uIk/vNdC5cO8KvQuKk/my7yZP3lQfAgv5Ic8kS/yRv7II/kkr+RXKzxvEb7J O/mnDtSDulAf6kS9qBv1o47Uk7pSX+pMvak79acP6Af6gv6gT+gX+ob+Ofz7 deKnDOWrDMs05TP6jb6j/+jDB33583vxXrN/x3/948/4tG89TtlUY8fLHfjE Zhs+cmtDh89y1PsLn175OBZxCZdCD0k9vBenDBtwdEkj9nuVoMvXgNalZWgN rcW+pQ14bVUdjus7cFzXjtdW1Ek93Yh3Y034xN+IW0H5uOeXh7seebjnocNH wWXoCN+tnjPynY/0B04m3HYzqWslbnib8L5PNT5MDsSf1qzB54vycCU8E6fy V+BNvTe+jfXD3qClMG5bjUP7F6CvbTV6DVm4nr4SV3PWoflQCK4t6sUurzhs Xz8Vl9YtQklsDgIzO1DsuAtnrVLxpocee+M34uZyI/7kmY9PkyqxSfLqlf5h ++w8fOpVoJ4tf+v+/ZjZe9yTnuOskxbHF+jxaWgG3k3yhH9WoFpyndu5n+Nu DVy3LsdzHs7HeTk/4zAe4zI+cRAPcREfcZbE5ircxL9b8rjm34tWyYv5Mc/e oiz0tfbnTx72Ll6Kb2P8FD/kiXyRN/LH8yfkk7yqa4qE53vCN3kn/9SBelAX pY/oRL2o2zux5UpH6nk8v1307VQ6U2/qTv3pA/qBvqA/6JNLoQdxLPKS8g99 RD/RV/TXTvEZ/Ubf0X8/qF7lZ9jT/w+vgfvM3PjyA7QlzEFy8GQkxS+Qevr3 aLGdCpP/NPn9uwrHqkOw5UANrr3dgfN/3IajN3dgxx+34s0vzuHPN99Gy+tl aLpoxF//8Xfsfm8rbnz7Dv4mc//th59+z+zmvdeR0eCBvG32uPLZcXRvzUVx yCiYbf4ftDr9Ho3uT6DJ7VEULBqL5R1+WNn3CgIPzMSKHVOxcvtERPbOQWq7 L7KOuqC9cD2y5tmj2HU4DC5DUO7sjsIFQ6Qe8sWGjtXQWj+BUpeZMNkskf3z oHd8EkbNSzDbOaPMZQTyHJ7EpsB5qHWZjGbNb9HsOkiWj6Heeyg27PZGpPQg aTv6r0/hvY+T5f+qX9ku/Uqjh1pynduTd/R/J4zjeRyP5zycr3/e36o4mwIt VVzGJw7iIS7iI07iJW7iT6nwVflUSA9TJPmVSJ7Mt415S/7kIbJ3tvAyQfFD nsjX8o2+ij/ySD7JK/klz+SbvOcK/5miw617P/1e1n+KXtTtxrfvKh2pJ3Vt uVKmdKbe1J36n7++TfmBvqA/6BP6pdluKgpd/oDEeGukrJ6MtvjZyl8P+u3n /hro5a988gn0xfJ7VReOsxYuOD7OBm0LpRd190aGTQHSnXUonJuAkimhKLfy QZOlN9q9RuLwpDk4N8ISh6ZpsMt/Jbalh6LVvAo1oimfr15V6I5qgxdq5F1t 8FRv/r+mSNZNXvJ7fS1OjOW5ESscHS+17viFOD3eHpdG2eHsywtxYsQCnB3t iMNjNFKLu+PiDOlr5ktNNzkAudGtONeQiI0lMcjLWIuuYG9cDVmCY4mZ2Ll1 KRrarGEuXA5zaTBK98xH4z5n7JkXhLPj7HBiigN6NINhTl2BJtNiVCqcbqhk /5BdhIiUGuTpY1BnckSJYQ1ypefIjqlDVpwZWSVhMDTNldx85BjpwSSXOulT Kve8jLoyf7Wutst+juN4HsfjOQ/n47ycn3EYj3FVfMFBPMRFfMcFJ/HuFdwN +5xQInkwH+bF/Jgn82XezJ88kA/yQn7IE/kib+SPPJJP8npa+L0sPJ95Repm 4Z38U4eTokdPSpjShzr9q3bUk7pSX+pMvak79acP6Af6gv6gT+gX+kYv/qGP MmzyYXDzVv6iz+g3+o7+ow8f9OXP69X/M/3XP38jP+dvoLq4ALsn8Fkfz2P/ cDtsGxKNRLtcrPXKQsPIJBz6dRwODVqFV4d7o3muKw5YTMKJMS9hh/Ur6F22 EF3ZXtiiX4wOrSc6k1yxOUn6k1RZZmjQmd7/3pTuqrZ1ZLlhb9hqXB48H68N nYMLz83BxcFz8bq833pqJq48NQMXn5mJ14fOxuZxHugb5oHLr7jg/AJnNMwO QMaGZuyWOrymaiVCTOtgSFyO3dGi2TotWptCUdjujojycOltl8LQ7YiErStR 6BCIzXbjUe8m/crsR1Cd4YTWYjfBJT9/0mdsznRD9boUJGXHI7PVGs2NL6Mx ZQXqQ/PUd7sqoqSXSQtBe5YGXWlO2JyiQXO+J/IL/RG7Ywp0suQ6t3M/x3E8 j+PxnIfzcV7On5SdoOIxLuN3Sp9DPMRFfMRJvMSdsHUFjJIH84moCFf5tTb3 58u8mT95IB/khfyQJ/JF3sgfeSSf5JX8kmfyTd7JP3WgHtSF+lAn6jWgHXVU eoqu1Jc6U2/qTv3pA/qBvqA/6BP65bD4pmFUEtZ6ZiLJNkd8tV75iz6j3+g7 +o8+fNCXP8vX/Wt3v/roOq7lrMC79h3oHt2At6w34RtNH85JrWlc54fg3Ey8 6d6JP64owdWkaHzpXYZv/bXqPlOfOGpx0Sobh6QO3zc/G8ftc3HRuQgfLynB tfQaXA5pxJn4ZhzMacfZVY14PaYSt0KNeDWhHe8GV+BPHrlS0xeo54XcUvcB zscdqZf/6FWON3MW405QGm55leKOp6H/+m953/MxSW9Qgp3+JTic24Rvlyfi 7TVG9OR14NWCAhxoX4wrPbb4KN4Kpe6jUD+/Em/N2Cm1mg59uS341rcO3/jm 4s2IWpyJaZRcc/FOahWqvOvwmXMe3nQrQPfUHPxR+ok70nvcvH+O5OtFhThi K72TtQHva5fgSP4SrEl2V0uuczv3cxzH31S9SqGah/NxXs7POIzHuIxPHMRD XMRHnMRbb1mJMsHPPK5ss8WBjYtVft2S5zshBny7LBGHc5oUD+SDvCh+eH8D 4euWZ6ni783sIMUneSW/5FnxLbx/J/xTB+pBXagPdaJe1O1ySJPSkXpSV+pL nak3daf+9AH9QF/QH/TJG+KX4LxM5R/6iH6ir+gv+ox+o+8e9OHD9Br4m93X 336MjugJKPF4Gjl5IUhLL0TpkomosP0FCuweRdGSoWj0eQzGDbbYWh2G42Zf 7H91I3Z9cAbvXn8VV97bjM9uncfeK3W49ukFnPtwH8x7I/HWxf24c/czXHn3 NVRql6NLftfrk2ag3PURlC/8JVodHkWz+5NocBuEBj5L3n0QyhwfQ3aRK1Yc tkTI/vFYtWey1OXSs/ROQMw2S8TviUZliR/0C8ai3VaDGtdRKHGcgwqnmcj2 eBHRR6KRETkPxU6D5TNvBuqnSA3tMUx6g6dgcpyJKgdr5Dv+AU2BDqh3n40W 59+gxeUxqfEHoXXhI9Dn22Ld4VlI3faiOnfS35M80K80uP5LvzJCjeN4Hsfj OQ/n47ycn3EYj3EZnziIp0hwER9xEi9xE3+2bGc+pU5zUSv5bZQ8mW9lib/K nzyQD/JCfsgT+SJv5I88kk/ySn7JM/km7+S/i/VV3nKlC/V56+I+VIheZ0W3 a59eVDpST+pKfakz9abu1L841lb5gb4osJW5xSelSyyQmlGI7Nw1KHZ/WvmJ vnrQZw/LS52DlGVTtwH1pe5o3xCJw6OtcXqCDXbOtkbZAh8UzItDpmM+dHZa VI/KxubxATDP8xbNYtAeHoeNRZFoqfVHXSl7FFdU61nfev9Y5/7rW9Xl5iXY 770UJ0bNx7FJdjg+0Ua9j1kslHVbnLRwwGmpZY9N1ODkBCd5L8ARqamPjpUe ZqId6orCEdUYCJPRFQ3FLqiq8EFzZQDaa4OwKzsc26RebnZcjE0rNuBCaBh6 ty9Cj5291OsLcXaC1O8SZ4vnaGwtiERlsbv0GZ5oNEoOFV7QGqSPLkpFXNti dS/msJxiJBfFoLzUV91LuLZ2huTpJ/W7h3o2Y6IhDQVHpyDRmKrWa1S/4qfG cTyPSy6MRVhusZqP83J+xmE8xmV84iAe4iI+4iTebYJ7u+BnHptWblB5MT/m yXyZN/MnD+SDvJCfsxZ2ii/ydpLvCc7CsQtOT3LBqUmOimfy/SP3ogP1oC7U p7+P+/caKn1FZ+pN3al/u/igPXwDysQX9Ad9UiV+oW+yHHTQzY1TfqKvzoi/ 6DP6jb6j/77Hz/nvxeh/TrL8fH95/Q18+sVlmFK10t85YdesF3B44jQc/U0k akckIcw7DTGadOx6PAU7fpeKqmHp2DtmHfr816EnMwSbjeKhipmoNU2AqWqS 5D8LDQU2Uue6oCPZC13J/fXv5jRZT3VCt3YRjtsESO08G+dfXIALw+ar9/lh Vjgn69x27oUFeG3EfHRPc8WpIfNx6fk5avybz1lhW0IwTDpvmGqmoK5hEjpy fLBR64/uwgAcTA/HlsDxSHRcg4SgPNStjYGpPQhb/Cbh5KgJ6JnphM7JDjg2 Yyz2xoejI8NZsLlgc7oz2jJcYTbaoThlHfIa7ZHRNgvZ8VkwJ4eiNZdjpE9J 1aBD6vjuJGcYS6VXMccjZIeVWnKd27mf4ziex5mT1qp5OB/n5fxmo62Kx7iM 3yFL4iEu4usWnMS7xXeSws88EpZokei0BlsCxqs8mS/zZv7kgXyQF/JDnsgX eSN/5JF8klfFL3kWvn/kXtY5nrpQH+pEvagb9aOO1JO6Ul/qTL2pO/WnD/r8 1ilf0B/0Cf0So0lDuHcq6sRH9BN9RX/RZ/QbfUf/qd8zD8HfxQauGfjmq324 GhWDj+bvxtZxDbhi1Yo7zjuwJ+IyWleZsCw0DuXpPnhvbQ7+7FmGW94F+JzX afC7U/Lm8rq7HhfstTgyNwd9s7NxbHo2rjrk4gbvaexjwJeRxdiTuRVdK7dj V+IWXAirw9V1VbLfgNsB+bjrwftUFeBLeX/iV4pzpV64syxZYhnv3183HzcX 8V5iWryryZfPzxy8sWoz9sRtxs3geLylX4mt7Yk42piMyo0R2DK1Ha96pGPz cg/cdd6Gm14d2NSdgpPJpbjtbsSXgTocTu7ArUADLsVXwrCsFl9otPg6sAhv ueZj25RsfOguuKT/+Nxbr/I8NjML1xzL8EViIN5dkYzFuU54d3kyvkgIxDWn MhyblaXGqfFyHI/nPJyP83J+xmE8xmV84iAe4iI+4iRe4t4v+LdMaYe5PUry SlL5MU/my7yZ/9lJOYoP8kJ+yJPiy8uo+Dtf4q34JK/klzyTb/JO/qkD9aAu e0Uf6kS9qBv1o47Uk7pSX+r8oO70wU3xw5+lP3ovLAflGT7KL/TNnojXlI/o J/qK/qLP6LcH/fcwvgZqya+++wCVcdPRNn8mksP8sCI6F3GrQ1DiOgJl9o9B 6/oCil0Hodj+EZjtfwWj3f+Rfb9DvecgNHo+KvXrk9i2RD4bA0ehze85VLn/ AT0+L6BVY4vaYS+h0UE+U+eNQLfLK2hxehIbfZ5Gndvv0Oj2GBo0j6FR5ua7 SfMoUqIXYM2rNojf+zLW8/mKfVOwettkrOoZhVUHl6I0vwBl1r9Ftet4dFrb od7NCiYXexTZDkZcngui94ch2+klFHoNh8nSHmbHiShwHgyDywuosXWC0VH6 BH97tARYocXxV2jW3I/t/Cga/F9C3quOSNrx4v3rUu73Kzvv9yt1zv39ys4H +pUdo9R4HsfjOU+jOrcySM3POIzHuIxPHMRDXMRHnMRL3HFaFxhsBsOkcRB+ FqDD2lblyXyZN/MnD+SDvJAf8kS+yBv5G+BS8Sr8kueNPs8o3sn/prkjlB41 okub6NPjM1TpRd2oH3WkntSV+lJn6k3dqb9R+iCt6zDlC/ojfk2I8ktyuB9a 5s9WPvrqu/d/4q+H6TXwt+y3b36Eonypk6pW4IjfCvX9njPj7bB/+gIU22lQ Nykc5ZN1iHcuQI1PNspC2pFcUoPIujSEmBKQrNsAXfFKmOWzq6bMGfVFbqpu 59/oqx74G311Uf/1GR36MBye4oITE6x/rJd/+l4oPYstTku/cuwVZ5ySnuWU 9DCsu3dZ+aDbHIQEXQri0ktRVeaOBr0GBWZvlBU5o6kkFG1L5+PAtAm4OMIR p5+1RNtqV+zY64qTMtexCQtlPvmsnvcKakNnoMMUJTidpd4PEMyLUG/QoLpU A7PJDRklEQhPaEB8Xprk5IvsFlcUbJ6Gunw/1ElvUFC8DJmJ5Vh8eY4sTciX dW7nfo7jeB4Xn5uq5uF8nJfzMw7jqbgSnziIZ//cVxQ+4iRe4m4X/KcHW+KC 5MO8WiU/5sl8C8xeKn/yQD7IS495MXYLT6pPEd7IH3k8Y6FRvJLff8c79aAu 1Ic6Kb3ua1dlGDjn4tGvr+hMvak79acP6Af6gv6gTzaIXyomaZV/6CP6ib6i v+gz+o2+o/8e9OPP83X/2RD3buGe4L1+92Mcj07FuSdmiZeG49Vp43HoqSAc +3UCKsZnIGRRMqK9S9Dh34hNIY2oidajbEM8KuND0ZgWiNYMT2zKkd8Zxnlo Lp2KkjoLNJROR7XRCp0ZTmhP8ZTaV4O+pFCcfckeF16Yi/MvSL38b97nh87H 5Zct0THHHcdfWIiLUlNffH4eDk/ywB5dAMri16NwQzI2Fk1FT4ILmuSzt1br hApDFExLHdE2ZS6q5zpi17ihqFzmiboty3F1sD3ODZ2D+qkB2Dl9Inq8pqA3 Z63U5fZSl7up3qWodazkYCPb3FBYJP1I7jrkJ6+T/kP6lTQNOuXdITV8T4Yj sgtWIz8xD/annNQyR9a5nfs5juN5HI/nPJyP83J+xunvldxUfOIgHuIiPuIk XuIm/l3jnkf1HAe0TZ2r8mOezJd5M3/yQD7Iy578AMUT+SJvx1+wUTyST/L6 b/lWy7lKF+pDnagXdaN+1JF6UlfqS52pN3Wn/vQB/UBf0B/rvUuVX8zj03Hs V4k49HSQ8hN9RX/RZ/QbfUf/PejHn/uLzx7nvWTf7svHBysycMNuG7peacQx q804mXgE3zn04kK0FgXZ3ohirx4Rh6+CTFKfGvCVV576O/0t7/7nFPL+WHek hr3hqcebGh2OW+Zi/8xM7LQvwMaVtWgO7cH5yAZ8G1iI99aZcTa8EYdS2nA8 pgWvra/FH4OKZY58fO6lx/F6B3yxLA23fIv6nz/pbeh/1r2XCTd881AbGIVP Ur3Q07sMh6tD8FbsanwVmYWmyBNYllWMq4uacM+hDw1BrjjipcV3C7fh6KJD KDFXSK/RhG/ctHhzrRkX1jfj5PoK1ARV4U/eOnzO76dJHh+45WO79Bpvy/Ie nxnvW4Bdc/PwsX8OTjY64YOlaQjKslPLk02OavuueXlqHMe/ff94zqN6HpmX 8zMO4zEu4xPHe4KHuIiPOImXuIn/6qJmLJV8mBfzY57Ml3kzf/JAPsgL+SFP 5Iu8fSHYTtQ5KD7J6x+XFCueyTd5J//UgXpQlybRhzpRL+p2fF6u0pF6Ulfq S52pN3Wn/soH4odNkXGITHZVPqFf6JuTiUeVj+gn+or+os/otx8ewnrsX18D 11d/9s17qElfjXrH/4DeYwQSg1ciLMmAtOBAlNoNQYHd08jzfBH5Xi/BIDWu 2XMwaj2fQBPrY6dHUef4CGqdfoMGqW/bNUPR4ToX9fOssMVePqPcH8cW74lo d5yEbnc7bHachU1uU9Dq8ixaPJ9Evetv5bjHVL1d4jcS63f7I2H3MCT3jUTo qxZYsX0q1nSPx4oDlsjNSEX5/CnIc30a5U4jUG3nggpbP5Q5j0CO5mVEHFyL +AJXGG2eQJHNNNRMtEaVZiTypV6vcJ4Gk+081C6S3mKRHVqdfqm+t9XI8xHu 0mPY/w6GOickHJyA5O3D/1u/srTK/r/1KxzH8TyOx3Mezsd5OT/jMB7jMj5x EA9xER9xEi9x57i8jFLnl1U+1bxvgNPI/jwlX63kveLAvH4ehA/yQn7IE/ki b+SPPJJP8kp+N7lPwWaHWYp38k8dlB6iC/WhTtSLulE/6kg9qSv1pc7Um7pT f/qg1O45pAcHIDzZoHxCv9A39A999KCvHsbX9/fPsbT0GlCts0e9KQI75nnj 5Lj5Ur/aSc+wEO0LNCiykN/5Y6OQE56L/MoNSE/SIjW2Egl5OQgvldqsIBfr c/XIzklDVtkqlJd4ocLkikaj1EZFHupeuNUF0sOYA7BrzWocH7VA/Y3/3/cr NjjJa2UseD5AgxMT7dV5gdMv2+Dw6rWoNfsju2yJesZibpoeaWUhWFcVi0rp AxpK/dCeukp+7l7CcanPz1jYSxw3mM45YZ/U8efHanB6vA3OjvNE77zRaIv1 QJVpudTgvIbEV+ry/r6qptALjUUa6MoDEJNjRGJeAVJ3zkZK10w06PxRWeaC jLwM6KKq4LXfBTreC0DWuZ37OY7jeRyP5zycj/NWqz6uPx7jMj5xEM/ZsZ4K H3ESL3ETP/M4If0b82J+zLOy1FXyjlH5kwfyQV7Iz+HVYTg9wkbxdmKC8Cdc kM+T/wPf/edYbJUu1Ic6US/qRv2oI/WkrtSXOlNv6k796QP6gb6gP+gT+qXI Yp3yD31EP9FX9Bd9Rr/Rd9/j596r9L94/ucvf/0Op05sBf7rO1Ruq0brFA+8 9owVDlk9jxPTRuPQcwE4+ssNaB6Ug8hILaLqopCdkojGVVq0LStQ98jlswlN scmoTohEbXoQWlN90J7jgGb9fDSWyOd2rQXqSiejpmYhDgQsxtln5uHS87ZS Uy/ARdbKwyx/2rtIXX1xuCXa57vjxDBrXHjJChekzj3jvRI92Z5oyPRDRWgB wjtWIKFsLUIaE6Ezin8qArA1XH4W5z8Fs8tMHByzAK8Pc0LasUXoLVyBd56x xdmX52LzND8cmjQKfcukt8gNQmeyEzoyHdFUPF3qdC/pIZzRk+SC0nx3JBcF IzMvBFvSXO73INJvZzkhqioTJeE6zNgXpJZc5/bN6lySRo3ncTye83A+zsv5 GYfxGJfxiYN4iIv4iHOH4E0X3FdfcFJ5MB/mtTV8jcqT+TJv5k8eyAd5IT9n fFYqvsjbiWELFY/k88LQf+lRhHfyTx2oB3WhPtSJelE36kcdqSd1pb7UmXpT d+pPH9AP9AX9ESU+aR6ULb6JU/5RPhI/0Vf0F31Gv9F39N/P+jzkf3v9wIf0 gXfufn9zHN63b8NNh63ontyAFv+juBrchTeyV+BOYAWurtQiNiUAK3OkT0jM xvXVTVKfG/HVEi1u87tcXjrc9pH6PCgfXwYU4eO1FTgV34Kd61vQvbQCxSsb sWtBHk5a5uBdR62M1+JeUCE+W1kqdXQdjsa34mhCK87GVmFnlzPuLMnCN/Zl +MynBJ8HZeFqSijez/TFpQrpsVd64lxING4v0WFnzA58tcyMDx3zsGN2CcwJ m7BHa8Q383txybMCjb7u+KMzn6+4E83aXWjbno5PFlXirncezse0ojq9Be3B lfizVz5u+hX++F2u6x756JmWLTV7vnq+Yu9cHa4vycDncQF417cYK7Jmq+Xn 8QFqO/dzHMfzOB4/8J0yzsv5GYfxGJfxiaNV8BAX8REn8RL3t4J/t7ZY8tms 8mJ+zHNn7E6VN/MnD+SDvJAf8kS+yBv5I4/kk7yS39ei6xTf5J38Uwfq0Se6 UB/qRL2oG/WjjtSTuip9+cwW0fum5E396YNV4gf6gv6gT+gX+qbV/4jyEf1E X9Ff9Fm/3x6Ofv7/6zXws/769WPozvJAuYvU7U5PQe85GVGJOdigq4JpiQcq LEei0GYITFKfsnbVeUgf4/88agKGos6r/7ryLufZ2Oogn+duk9HtZoNmz2fQ qPmD1NCPqmsrWjyeUvVxp2YKtjjNlfGW2OQ6CW2uz6HVcxCqXB5BYbkdkg9M kN5A+qbdo7F6z2Ss6bFAYO8MhIQvQIWVPSo1r0AntX+Z60iUjZsBo91s6Oyf RGq8DaLOrEVq0GSUOso+Bz/kO3tA5/wCjC7PodR+IVr8VqF2ia3U97+R9xP9 /YrbILQ5Sa8WNg2pRxykD3nhx+tXkvm8lW2jEFpqiSRZcn3g+hWO43gex+M5 D+fjvJyfcRiPcRmfOPJdPFDm6KfwEec64hXc+fbSY9nPQekrM1VezK/SZTzM CxwQKnkvlvzJA/kgLwnCD3kiX+SN/JFH8kletzjNQ6frFMU3eSf/1IF6NEsf 0u1m26+Tw1ylG/WjjtSTulJf6lwmelN36k8fxGqrEJWQrfxBn9Av3ZkeuPrJ 0Z/46WF9DdSJ73zxAQx6qdFNXtiTHYkjExyl3l+IYxY2ODfWBg2W7ihfaIXO oArosmultohHVuF6ZCSWIlM+rxJ0mYgtjcN6bR6Sk8sRH1+NTF0aUguioa/0 R3mxL0xlDugqX45j8zxx8pX5UjtLDTteauQJtjg2ceBto97HJe7JcfYyxlUw 9J8TODbeFVvkd39LiQ+qS9wRk16K9AwdNpTHQFuUgBpT/3fS2ovD0Ll0GvbP mIVzPEczxhH1qQFIvTILe9OjcWY8z9XY44iF1EseQ7FRvwotxX6o10mfYvzp OYU63iPA7Ia0tCoEb1uGlI2WaNb5wFDhg8zkKuTH1MBny3K15Dq3c3/yxvky fjnS5Tgez3kePNfEOIzHuIxPHMRDXMRHnMRbnxqo8DMP5sO8mB/zZL7Mm/mT B/JBXsjPlsRIxdcJ8ib8kUfySV4HOB7gnPxTB+pBXagPdaJe1I36UUfqSV2p L3Wm3tSd+tMH9AN9QX/QJ/QLfUP/0Ef0E31Ff9Fn9Bt996APf86vgZ/19z64 iM+uv4W7967DnCN+GmGPi0MW4LDNYJybMAa7xnrDMDwBV+fVoCpFj8jCKESU RqAgKRUtUqeq+w3fvya9em0uytZloipxHSoT16JJauhW+Xxp1MnPWpUT9ttN wv5Z4o2pY3BslPh52Hyce84Wl4ZYSw1thYv3e5dzw63QYu2OMy9Kz/HcXFx4 0RY94cGoNHmjwOiP1YUViJYeMbN8LapTo9Cda4/uOGd0Fi3GAfl87Jq8ADvE Y1eeskJz9GKEnnbE0ehIvP6sNY6OtkLNdB/sthyKnfHLsSPNB2WmOdLTTsPW RA/13SeeI9mawmfDuCK9eBlySgKxJVW2pTqjhvcdTjCiLiIb07dGqSXXuZ37 OY7jeRyP5zycj/NyfsZhPMZlfOKomeGjcCl8gjP0jCNaBTfxMw/mw7yYH/Nk vsyb+ZMH8kFeyA95Il/kjfyRR/JJXvv5tVJ8k3fyTx2oB3WhPtSJelE36kcd qSd1pb4D9xKg7tSfPqAf6Av6gz6hX+gb+oc+op/oK/qLPqPf6LsHffiwvBRe KR/v3bqGN/ICccOlC3cc2lA1Zyf0piR8sroEn3kU42svPb5eXIbexGQslx6z KDkQvXnNOJ/YgzcWVeH0knpcWVSDc9GN2K/twJnwJnUO4c/+WrwW14y3w6rw uUaLc446HJiXi+1zc3FQ3q855eILtxzcW6zHV4vNuLS+CeUXA7ArpxTHS6Nx VT6P39Jr8H5yEN5fk4I7Mu743FJcsC3CN956fBZixObojdgxIxOfumrxSUgj mht1+DhwE+7Z9qHLbw36fKNwx3U7jq85iVdz69Hano0vPEvw5WoD0lZ2Y9fq Gnzr3d+v8Fr5gZ7lhvQY22fl4IjU8+emFOKydhXeyAnCpx5FWJY5Sy25zu3c z3Ecz+MGehU1n8zL+RmH8b6SuIxPHMRDXMRHnMRL3J8IfubBfJgX82OezJd5 M3/yQD7IC/khT+SLvJE/8kg+ySv5Jc/km7yTf+pAPagL9aFO1Iu6UT/qSD2p K/WlzucTu5Xu1H95eYDyA31Bf9Ann6wpEd8kK//QR/QTfUV/0WcP28/H//uL 9674Hv/593t449OtqFs3DGa3x1GgGYJyu6dQutgLmR17YChLgzloOarmyu/c cc+hYK4Fyi1eRNXC+agMWIZK51lo9JuMJu/fY4tmGjqdR0vt/js03P+O0j+/ p/QH2fZbNHs8iTaJ0amZjC6n+eiQ/qXF4xUUrJuD3IOW2NA7FEm9o5CwbwyW 7ZmI1O3WKPZ4HmbHcTDaa1DsInW14zMwuY1F+4wFMv8Y5DgOw/rtixG9cREK 7F9ClcYBBc7WcowjSlyeQYlmDCrnSF3gtUB6i9/2nx9iv6J5HK2Cy+z6LNLa 3ZC6fxSSto/4sV9J7hmJ2IKp0q+M/LFf4X6O43gex+M5j+pXmKvMzziMx7iM TxwFLtb9uATfesG5TvDmOr6o8DMPk/s4lRfzM0iezJd5M3/yQD7IC/khT/nC F3kjf+SRfJJX8kueFd8PfO+uX4/fKX2oU7PoRd2oH3WkntSV+jaMexaVoneF 6E796QP6wSS+yJcYZsmVfqFv6J8fvu9/Vs/D/mKtyL9ItO8oRGWuE2qqg9AR EoqTI+er++QeHu+InV5D0TF7Jlr5/JA6HZI2mJCVYkRO0TpkaVOQG12LrOg6 JOXkIqo0HrGFaUiPq0DquiZoo6sRnVaCbPndVLKuGB0z3HFssgP2TbLH4enS t0y2xJlJljjLZ76Mt5aafaH6bhK/O3RhrCPOTFiIM6/Mw4k5dthUEwxTiZfU N9GIN8eiWmp2XvuRw+s2ZFlZ6IEGUyA6Ehehx3okTk/wwFmpaw4ErEVsnxNi eh2xJT5a6mZ7nB7ngkNSr7cETkB1aSSajH6oNf702hv1PSiDK+qLAxFVE461 tWFoKnFCmjESuvUtKEyoR1BntFpyndu5P7Q2XI1vkON4/E++FyfvWulXGI9x GZ84iIe4iI84Y/scFe6zo+fj1HgPlQ/zYn7Ms+5+3syfPJAP8kJ+yBP5Im+n hb/z5FH4JK8n1b0NrBXf5J38UwfqQV2oD3WiXtSN+lFH6kldqS91pt5Kd9Ff +UD8QF/QH/QJ/ULf0D/0Ef1EX9Ff9Bn99g88HL3KwIu/C//rv/6Gkye24Pu/ /x3vffUuMtdE4PXB83Bu6AIct3kGdQsX4sBL0pt5VqA5ogpNK7OhTU5FpHEd Nug3oDwqTz3HvXF1tnqWu7ov1sp8VIbko3ZtNozrMlCXGYXNi3Xoe9kF5162 xM6pk3B49gj0WfM8znAcmWiBSy/Mwfkh1njzaStcHjofLVZuODbaGnvG22Cz pSdMDdHQFfugUL8apVmhaKq2QEXpHDTofNGV6oparS3MdXPRE+qDVyeORPt0 X1x6diYuOK5CxFZPRG9yxf7VEbj0nBV2j3VC6xQX7HEYi43pkdhonCLH22Nz ipvqLTbd//7XllQXtKV6IL3WDQWVXuhNcERahfRJiRWoDcmEZWe8WnKd27mf 4ziex/H4B+fj/IzTLvEYl/GJg3iIi/iIM7zbU+EmfubxqsVIlRfzY57Mt0Hn o/InD+SDvJAf8rR5vqfijfyRR/JJXskveSbf5J38UwfqQV2oD3WiXtSN+lFH 6kldqS91pt7UnfrTB/QDfUF/0Cf0C31D/9BH9BN9RX/RZ/Qbffew1mID1xJ8 d2s/XluVgi/nHcSHMSmIjq1Cn8Nm/DkwG5/z3IPU4X/1NuL1kDYUZyWiKn4E uoK98OFKE25F1OHTVcX4iOccAotwz0+He25a2VeGA3HtuOObr75PxO9L3Qks wOfeOrzupMeJWXpsn1GMffOysH9xLN5MdMP1jcPwjnyO7qlJxv6sOhyPasH1 xbW468m6vwBXXfJwSGrt74KK8KFzHkyuFTixthbf8v5WHpXYbjCgKW0Hvnbr wQeaZpiX2eC6YxPOr9wvNfcx7MsvxZ4CE/7ibIDRvxqHQpvwJ++8H/uVgft7 3fbTq3MmHZMzsXdSMe6lBOL94HR84qNDWPJ0teQ6t3M/x/FYHjdwf7GBfoXz Mw7jMS7jEwfxENcngo84iZe4mzJ2qjxueZhVXsyPeTJf5s38yQP5IC/khzyR L/JG/sgj+SSv5Jc8k2/yTv6pw7373/O6LfpQJ+pF3agfdaSe1JX6UmfqTd2p P31AP9AX9Ad9Qr9Ex1aKf5KVj+gn+upBn/1veg38zDefM2LntSp0Jtqpa7S1 7sNRavcEdFYTkZmXBu3xLKQXecHoOFY+S8aj1nYU8m1fQJHryyh0lfpZ87TU 6FLreDqg3ucJqZUfV/fLarxfx//z3d+7NKje5Xdo5vkN3+Eod7NCqZMHzM3h yNg/HUnqu1fDEbFnOBIPhaDMewJ0joNQ6TgfJkdLFDg9I7Glr5ozFWXTbGT7 MGSEz0bIhRXIiLdCsfVMVLhLPe8wFzV28wTjE6i0mgeDgyWqfHmdiWCR2E0u 0q+4P44a+0eRluaE5CPTpB8Z/kC/MgK5af3Lf/Yrw9U4judxPJ7zcD7Oy/kZ h/EYl/GJg3iIi/gUTsFL3KZptqiQPIpcn1N5Mb9Kh/kqX+bN/MmDej6M8JKx f4biiXyRN/LXrO5f8Lt+Xn/sUR7gXXNfD9GF+lAn6kXdqB91pJ7UlfoapVfK KPIW3eX3aV6q8gH9QF/QH/QJ/ULfPOijh/01UC++det9lBTyO0ru2FoZjIMe S3B8xEL02lmgy94Cl4dboy4gBIuLCxBlikFKthYZUc3IzshFWulaZAhnuesa kBPZgORMHdaXxWFDSQJS0gqRJ7+XS6N70GzRga5BWdjyZCEqXspC56RQ7Bm+ Fm0jwlA/LRCdlm7YOc8J+2c74uAsJ7w6ywOdC9zRONYf7R4GpJdnYUOyEXnr GpGWW4CqEj+0Su2eUByBXNNSNAj2SqOr1Dfh6Fw0HkcmL8CZcY44MtMVrTWh WL7TDiW1i1EbHYWjUr9fHueKfXMssCVuHjoro6UPcP3JfbH639IbGIJQ1jAX qVWrkVwViaTUIhRGNaEgsRFRbUlqyXVu536O43gex+MfnI/zM84midclcRmf OIiHuIiPOImXuE+Pc1J5MB/mxfwaCt0l3yVIlLyZP3lIzSlQvMQKP+SJfDWO 8xf+3BSP5JO8kl/yTL7JO/mnDtSDulAf6kS9qBv1o47Uk7pSX+pMvak79acP 6Af6gv6gT+gX+ob+oY/oJ/qK/qLP6LcH/fcwvAZ+5j/86CpufPKG+v/BQ43o cPTDW0/NwTYLDZq9xuD8S+Ow0WENdKlpqJG6tXWFFnWhOmRkJmK1eS2Scjeg OkyLlpVaqWlzZF8OGmWpatxV2WgPq8TOkSYc/nUUDv4mCdsfi8HuoStw/KnF 2DJc+o3pM7HReTR2LngFmxzl/7OdkD9nCapnBMrPSgB67HNQpYtFRXiKzJeP ith4lBfaotMwGebEMBilhzaXT0JTphN2pobi1YVjsHmqPQ6MtsXFEfboNqyG V7d4xBiATcvX4vIQS+ye5IKts6bi1eXyGb5xITal816+bqq32PSTnkWDjbLM 75gHU6Wr9LDFMK/XoyosG/bNSaiSmp7r3M79HLfx/nGdD8zV/3ZTcSo7pAdc MUvFJw7iIS7iI07iJW7iZx6v2oxReTE/5qnylbyZP3kgH4oX4Yc8ka/GcYsU f+SRfJJX8kueyTd5J//UgXpQF+pDnagXdaN+jff1pK7UlzpTb+pO/ekD+oG+ oD/okwvilybxTY/4hz6in+grvugz+u1B/z2ML3UtiyyvH8zA5bA0XEsPw8dB 8hmzvAvHF+bhLp8tInX4574F+MY7F2+Gd+JwYhX2rbZG06pJOBO4Gne8y/CN j1Fqda2MK8RdXx2OxbXinWATbsu2L+XYW14G3NGU4jNvE+4E5eC95HX4IN0f e4ucsHetP1pWLYMh2xr7Fxjw6cJCfOZfjA+iKnEiqQVH49rwzpoKdd+tg3Oy frxO5Lp3Po6kbML1ldJTuOpxJqEM9a1m7F57Ebdde7HfKx5dXqtww3s/Dkcc wk1NJ1p6svBqWia63YzojduCm0uK8KXU/gM9xsB5Fj738by9DlUSp11vj++W ZONjf343brJacp3buZ/jOP7mA70K35yX8zMO4zFuq8QnDuIhLuIjTuLdE3oR DYKfeXwt+TAvlZ/3P6+rYf7kgXyQF/JDnsgXeSN/5JF8klfyS57JN3lX/IsO 1IO6UB/qRL2oG/WjjtSTulJf6ky9qTv1pw/oB/qC/qBP8lZ0Kd9cywhTPqKf /oH/Hdes/PvXD+rf3/7+Nxz5+AhOfP4mClZbSD07CHlSmxZrBsMgNUSdxgn6 tgAUHI1AhnaB7BuGQtunoXccDL3zUBg0Q1Di5ASjZiq0bs/B4P08zD5Po8GD 13TwGpXH/qV+vt8zeD0OveezyHd9Hnq7IahM8IV+/2qkbXdH5g5LZO0djphm S2Q6j4TB8VmJ8wJMvMbDZSwKHJ8UfBZS3/tD7+KGfPvhiG31xOoDATB6Sr9i awOD54vIcvRAjstktHjMQPVkW5T5D0eT2+8FE+/n9Qe0SY1fJfV+rs9EZBxy QzzP7+wcrfqT9O4R8nn+rFpyndu5n+M4nsfxeM7D+Tgv52ccxmNcxicO4iEu 4iNO4i10dhP8i1DsaqHyYV7Mj3kyX+bN/MkD+SAv+v1r+nkSvhRvwh95VHxq ftqnNKl7LD+mdKAe1IX6UCfqVSS6UT/qSD2pK/Wlzvr2AKW7Yc4k5QP6gb6g P+gT+oW+6X+m3cN/bmXgNXCOpbHXCHMurzn3QFNRJPrmuaDHbQgOTbLDyVcW St3rKD2BHyKlLg3XZyOhNBaZMbXIja5BpjYZmUXrpdctgDaySd51SEkvRIwh GVEVG5CX1IytjxvR9zsDdjymR98f9Oj9nRE9vy/BpsdKsPGpQmx+RofuZ7TY 9rQWPbLsfrII3YPz0fSYESbf7SiKa4QuslI9Jz41vhKlJqm5De6Iy8tBUlEy GkqdUCX1e6P0Li0J7uizHIuz4/idMmdsTglGUksAQhqXorJqESrDwnB0nC2u jPHAVssJqMkJQlPpElQVuf1LfyE9UPFipPbMRUuFNSLMsYjIqECB1O362Bps qI1XS65zO/dzHMfzOB7/k3M2Mn9T2RLUZAehW+K+JvGJg3iIK6RxmcK5OWWV wn12nJvKg/kwL+bHPJlvbF62yp88kA/yQn7IE/kib+SPPPbc55X8kmfyTd7J P3WgHkoX0Yc6US/qRv2oI/XUia7UlzpTb6W76E8f0A/0Bf1Bn9Av9A39Qx/R T/QV/UWfPWznVgZeAzXjF59exd/+8y/8TQJzdwu2THFGl4Ubzkqftnf6cPTN mIHNqT4oyVqNat6jNzgHzau0MEfkID5/A8JL1kGXki41rk6256EuROrcNbmo l7p+09J6HPlNMo78Kl69T/wyHqd+kYBjv07G3l9momNwHmqfz0bZ5DRUTAyH edYKaB1D0TdmCbb9NhqdLrVoWVOCxuU8j5MH81rpmfKcUV07Dik5YdLPeqEt yxGbkl3QnRuAXSs06J02Hl0TPXDpRRupP5YipSYQa6pXYEu+jA1Yg3ND5qF5 UgA6pk5CW5L0Pjp61Olf+gvei7n/vEhXmiPSuqywuFGL2qVGVIdnwbkuVS25 zu3cz3Ecz+P+dS7Ozzgq3lQLFZ84iIe4iI84iZe4twp+5tEn+TAv5sc8mS/z Zv7kgXyQF/JDnsgXeSN/5JF8klfyS57JN3kn/9SBegxoQ52oF3WjftSRelJX 6kudqTd1p/70Af1AX9Af9An9ckZ8s0X8Qx/RT/QV/UWfPei7h/bFe5p9/z3+ 669/xcd103HNqw13rTfjtZh6NAdW4tScTPXcwy+l/ub141/75eLUBulF1mzC 24vi0RI5Bc0Rk/Daknh87V2Fu556fLSqGIellr7rVYivNOW44WvEjaWZeCNt Fd7J8cKFEg3eTQ3EuxHx+CpQhzseNfh2cSZeLZPfCY56HJiXg51zcnB8djbe cM7D28vLcC6hBWcz2tHkaUKP1O433PKkbtbhndXlOBy/EV/75uGP/mZsas/G kcjd2LvmDD7XdKPB2wuXvYtwIuQ03vPahq/cu5FXlY3G2ArsSdqFczF1uOPD a9V/eo7lboAeR2dIX+CVgs617jg8rxi3xCNxmVPUkuvczv0cx/EPnlvhfJyX 8zMO4zEu4xMH8RAX8RHn3pAzOBKxG53tOZJHBe5JPsyL+TFP5su8mT95IB/k hfyQJ/JF3sgfeSSf5JX8kmfyTd7JP3WgHtSF+lAn6kXdqB91vCx6UlfqS52p N3Wn/vQB/UBf0B/0Cf1C39A/9BH9pO5b/BDcM+//76v/GukfsPNKHW5+9wEu v30UZc6/QK3308h2ewml7s+j1sYahZYTkRUxGeV7pCffuxhFqbNg8OC12INQ ohkHk4MGBpfnUeA0FPlOL0DHe2J5PA+Tz2DUeT7R37e4SF3tIjW0+2OolPpZ 7yljnYehwIXLIdC6D0XRVmek7ZuJ7G5nFO5bgq35Aah3+gN0bs+rewKXO01C mYP0Rs7Sv0isWkc76FxtoLO1R27oPKw57YMNlV4otXaQPuAVFLi+iGpbR2zz cUK2rS/M7lao9xIMzo/19yuuf5A6/Clk20it3uiKtEPj1DUiiX0jkLNtLGo2 PK+WXOd27uc4judxPJ7zcD7Oy/kZp0fiMS7jEwfxEBfxESfxat1sUCf4iyQP o8uzKi/mxzyZL/Nm/uSBfJCXoq1Oiify1c/bMMUj+SSv5FfxLHyTd/JPHagH daE+1Il6UTfqRx2VnnsDlb7UmXrX2ixQ+tMH9AN9QX/QJ/RL/zOv/3f18qpu lJ/3tz+/DnPZYtTrvdWzRVqanNAzjd9Hslf3xr00U4MT5REoK3VAbnE04rKL EFkSp/62nr+2HdmJZUgzRCPNuA6ZycUoCJe+JbwG2dl1MC4tRc0rK9E8Ng5b ntRh+++lb3m8AL2DtNgxSIedjxVgB3sYeW9/rP/d+4cy7JZxu58pQXXcdmTH lEIbU4X8aDMypEdIMURIve6IxJL1CMsrh7nEFzVFHqg2uqPFGIqN3mNxwsIJ p0ZI7RwcjKK6pQirX4PM6sVoq1wktUMIjo3lc9idsNdrJDrKVqGC51eKHji/ wmvxTb6IODgZhkpXJKcakJhThNi0MhjXNyCmLlItuc7t3M9xHM/j/nUuzs84 jMe4jE8cxENcxEecxHtqpLXCzzyYD/NifswzTFuOxNL1Kn/yQD7IC/khT+SL vJE/8vhPTvWKZ8W38K74Fx2oB3WhPtSJelE36kcdM0RP6pou+lJn6k3dqT99 QD/QF/QHfUK/0Df0D31EP9FX9Bd9pu4R/FDWYP1/rfjuT7fx1Rf954ju3XkH mYlpODRa+t/nLXH6eSscmz0N+yp90ZTpgNrsFagOyVd/c29cnYuWlQUwxmZK LRuBMHkb4jLVtsaVUt+sN2Dn7Eoc+8V6nPxVHI7+Rzz2PZqITc9loPHZbNS/ mIuNT2ei74lUHP5VMs79IhF7/o/0AWOzsX3IKuwevgrlhVkoTlkj80oPH5KF yjV6lCWHo6J2LDJrFiAtOR0b0936r4lPd8a2tGDsWjAGG6e749Szc3DWe7n4 LQDLa8JhMPpjh9YHW71X4tyzVjDZ2OOQ15PYmbYM7eo5Mf+9z+B7Y6YGRTEZ WNa+Fjm50TAH6+FZl6CWXOd27ue4f3c85+X8jHPI80kVl/GJg3iIa5ngI07i PS24iZ95MB/mxfyYJ/PNrLFS+ZMH8kFeyA95Il+7hwcr/sgj+SSv5Jc8k2/y Tv6pA/WgLtSHOlEv6kb9qCP1pK7UlzorbUV36k8f0A/0Bf1Bn9Av9A39Qx/R T3zRX/TZD/d99zC/Bv7+feP0DlxJXoT3MqPwrqYL9/y1OJbUia0eJhyclaXu Y/slvyflXYAbi4uwL6kdtwNLpCY34fSyELQET0ZXsANuLMrEhQ3deHutCR+t jsfb6Utwpcgd1/I9cC19Ba6vSMfn/jKXazm+8jTiC6l9b3oX4vbyJFwt9MdN v3J8HSAxvArwmks+DlvmYdeMLJycm4WjHoVIn1+BjqhWXI+tk1q8UD1P5Hhs C66GV+IvToXYWVKE49lleHPxAbwecgSXvHPQtsgJ15YexPHQ/firXSe63Bqx oT0Lry1txKn10nuFlKvrym8NfC+MfcciqfunFuBUXCQ+yVuEo5OKsd8jDbHa mWrJdW7nfo7j+C8GnjXJ+6bJfJyX819Z2h+Pcf8i8YmDeIiL+IjzzcADOCG4 d5YWqTxel3yYF/NjnsyXeTN/8kA+yAv5IU/ki7yRP/JIPskr+SXP5Ju8k3/q QD2oC/X5WHR6S/Q6L7rdCMhE1yoHpSd1vc1nvIjO1Ju6U/8v79/Xmr6gP+gT +oW+oX/oI/rpQX/973z9oJ7t9/33f8Gpjw/j+jfv4uC+ElQ4/AeqfZ9DrrvU uJqRKHX2lM9JqV3Zk+htUHLCH4XbnFGRNkP6VTs02o9EoXyWsj4vklo73+0F aDXDkCPrud4vwuD3HOr8nkCF3zMo8hwiPQbv8TtU1dzqLev5Ns+iIGEeMg/N RHzvs8g/4Iz6FZ7os5mBFq8p0GteRKHLE6i0t4HJaToKnR9HGb8jppmFOqeZ aLa2xvoGd6w+7YqCtX4wL5iDfPdnUe02HnXzvJA/dwwMGie0eL+CNudHpLZ/ XPqN36PSYzD0C56W+soJiQenIql3OOL7XoZux2SYUkarJde5nfs5juN5HI9X 88h8nJfzMw7jVUlcxq8QHMRDXMRHnMRrcp2l8DMPk+N0yWuhyo95Ml/mXb/C AzrhgXyQF/KjeCJ/A9wJj+STvJJf8ky+yTv5pw7Ug7pQn0L5HdtoNxKNXnZK P+pIPalrtsxHnak3daf+9AH9QF/QH/QJ/dL/TMiH+3fHv3sN3JP52JWtqMhw Q1Gz9KDddti9JAxnRlvi2ESpnWe4Y1N5nPo+U12ZM/RFkUiMkc/Islis06ch L7oa2shGZKflI6cwBpnaVGTFlaEqqhfbn66SeljqtbExqJm2Bg3j1mPTM3no fdQoNXQhtg/KxzZ5b2ftLO8eee96shT7/qMQzdM6oE+Q3md9BbTRlVKTm6GL rEdqfipqSlyQUROElMQa1BQsQ4PBp/8chkl6oxgH+aydgvNjnNFr4yvYl2JD xWrElCQjRx+CrTUB2BW0CidG2uLwGHvUrLFEe1UI6vgsmfvfC6sq9EJTuReS 90xCnDEWOevqYVhfjYQEM2Lia5BWH45YWXKd27mf45L3TlLH8fj+fsVLzcv5 GYfxGJfxiYN4iIv4iJN4iZv4m6MdVD7Mi/kxT+bLvJk/eSAf5EXxIzyRL/JG /vqEx577vPKteJY3eSf/1IF6UBfqQ52oF3WjftSRelJX6kudqTd1p/70Af2g vucm/qBP6Bf6hv6hj+gn+or+etBvD+OLf+tm1/LxH1/Hf353F727pXesXIWq lTF445mZ6n63F0a4o136UlPFBHRmOqMpfTnMrJNXP/g3eC10KWmIKF6HhII4 lEVmoiekFocez0Lf44lofyYbdS/koXFIHjqfzcSe3yfjyCOskzfg+C/jcOTX 8v7NBuz5dRIaXsqXGjsWPaPNaI4shCE2AeUpEcjLD0ZFPK9lWYT2hqeRV+6G quAidCZ7qeeGdKY6YGvuEvGhDTqmzcJe8dyxyW7Ymx2IzKIVWFOciPqUJdit 98UJh5U4MG0k9Pbz0eE5FzvzVmFLqqP0F64PfCfMFV0ZjqhKDkZBUhmyYsqR kRWCuPRY+NYmqiXXuZ37OY7jOx+Yg/NxXs7POIzHuIxPHMRDXMRHnAqv4CZ+ 5sF8mJfKT/JkvnkVbip/8kA+yAv5IU/ki7yRP/JIPskr+SXP5Ju8k3/qQD3q RRfqQ52oF3WjftSRelJX6jtw7oy6U3/6gH6gL+gP+oR+eWPwTOWfRPMq5Sf6 iv5S3wZ5KPv6f75+uP/cvrsfX8dV3TJ8unA3rkTm4M2EONx2K8bnSwpxOqMd p1x02DUzG1/ev+bhrqcWF6PqcD68Dve8cnHXuxw3/Euwd6UbyjeMhyljLU7U uONmymK8nRaCm0sy8alPKe64luFLfg+Jdf39Z4ao+t67GHeXJuK91CX4xLMC X/rqVE1817//PsO8r+5JGy06Rmdgx4R0dE4XjZfXoCe6HddCzbi7yoDjSR3q 3rvXQoxobdHjtvMm7A89iktLT6DTxxtHvbQ4EnEJ1707cWBkOw5EV2BLYySu h5TgYEIHvgz4Z7/B2J8Khh2zjfgwyQ+vx8TjW/cSHArMhk+ipVpyndu5n+M+ vY95oN/hfJyX8zMO4zEu4xMH8RAX8e0TnLedO9HWrJd8jCqPE5IP82J+26Lb VL7Mm/mTB/JBXsgPeWJs8kb+yCP5JK/9/VM/3+Sd/FOHT71LlS5vpYXis6Qg nKqVz5+MEJTFjcfeYDelJ3WlvtSZelN36k8f0A/0Bf1Bn9AvbyZuUP6hj+gn +upBn/3vfPXXnPf+ehtXr+9Q308w6l3QvOAXqJS6V+/F68AXoNh5PgxOT0Nv PRiFq16BqdMOeafdUF8fA3OWrdTJQ9Bs8x9o8pQewO8plPoOQYn3c7IcrNYb fQbBJPV0gWd/fZ3v/IL6PtJA3a2XXijP+UXoOt3+L3nvHWZVlW2L29otiIJg QAURMCEgUQUlF1TOgSLnHIqCiqfCOVV1cqicc865qKIKiihRsc1229e229Aq Ktpq97333fvu7e7x5linCgq07+/3ve/90drn+863OXuvNdecYwzqzHn2Wmsj 5vRkWKo9UO0xEnXeY9HpORsNPlInecyR+uRRye3dpTZ4BBnujyLP1QMZAROQ 6rIc8dtWY8s5DxxsWYlMr1VweE2Cye9BOJZNR9HUJ5ATMAOFXm6o5V7GHneh xkt89Za/3W4PwbRyKnQv+ktt8DCiuyfD1vc8InM81ZGfeV73YoBqx/bsx/60 Q3uFXq7KftFTT6jx1Lgyfob4cUj8oV/0j35mBE5w+i3+Mw7Gk+31KDIlPsbJ eOsl7hrPkbDWuCs8iAvxIU7XMPMcr3BU9Z/gSnyJsxP/sQP4P6Q+k5dKlztQ FPwg8lNcUF4eAYPwRx7JJ3klv+SZfJN38k8dUA/UBfVBnQzVzU/t9beBGv67 //xfSG2UXKNlFvJT/dGWvxNdHutwXnLP/lneMMZtR1Gm/M2xBaMkU2pY+15E hdUgzpCC8LyDiIvNhHVvOQwRxdCm6KAv3I/cPWVol7y57w6pS0amomWMFVWP xqJw9m4UTwtDw4PJ6OD9lrsckk87c+n2UVZ0j05Hx3ALWn3akRZfAcMBZ71i lLflQAGi47ORmxGInPwQGKMl97Gtcubz9tUoTQ9CvWML2nyeUM9cuzjbG/Xm XUjOXo+4DKmvkh1ItO5AT7H8DQ3dhJcmu+Li3Fmo17sgJ3ez8/mXUmPk2YPR kOWF6DpfREktYg3PRkpENgojKpGYWIuDpZHqyM88z+tsF13rq/qxv/PZ8D7K Lu1zHDWejMvx6Qf9oV/0j37S3wtPeSj/GQfjYVyqHpM4GS/jZvzEgXgQF+JD nFIFL+JG/HoER+LZqepBi8KZeBN34l84a7fig7yQH/LUJu/cPaXCX5ji0XCo WPFKfhXPwjd5J//UAfVAXVAf1An1Qt1QP9QR9URdUV/U2d9+xP+PBn3/9rur 6D2ahqTMDWhNXI5KwarOfYt6Lvr5SSuQv1PqP8dCFJRORaPOA2Xxm5Gz06Z+ a2cOO7jGoXiPGZrkKOwv3wPHphzkj7egaVQKmvhb/vBYnBsuOfOtkTj78yg1 B+n0LzgPSd5yPCs5de9tGtRIDn321oPoc8lFRbgD5ZsNKN1qRcl2M9JiImFw rEFp0ZOoKnkSDl0YKlMkv9d5oTE2AC2JvuiJ3YjexU+gYbYv3pi8Al3R21Ga Eoz9rL11Ujdp1qDPvh5n1y1Bz6RlKF24CD3hi1AttUFjvLNmYc3RKjVCfnIo irelIOlgGhwaI+p22ZCkN2JllkYd+ZnneZ3t2J79nDWLj7JHu7SvxpHxOC7H px/0Z396hPKPftLf+lk+yn/GwXgYF+NjnIyXcTN+4kA8iAvxIU7Ei7gRP+JI PInrmQGcFd6CO/EnD+SjX3ghP+QpT/gib+SPPJLPa2uTdjrvqZF38k8dUA/U BfVBnVAvdR5blH6oI+qJuqK+hurtx/rib9//9R9/xfudkfiNr9QJrq342LMV b2cG4P09MfjGOx2/2ZGFE3HtuOxqRPs8A74IlVpAcuBPV6fiVGIdvuD6lhBn LvwfK7PQE10Cff4k7Eh2QcUGHX67JBtf+Qhma834arVV2trUe+g6D1WvrI/B x/u34JOAfMmJzTfs1/Wer/ytfCZFrZn4ONCKnlkpeN1Vj57lVmSsLUHxhlI0 hFXj8u5C/FuIfI9Vm/DW7kp84dqM/rCX8eraKtQEuuLszhN4ee0x9M4sxqeL +pBu6sKJ7ET8emsdLh+UfDzQjM9DJPeWGD/2MaNnvhVvpvvjq7VafCX5+IfR Fqwuc1NHfuZ5Xmc7tmc/9qcd2qNd2uc4HI/jcnz6QX/oF/2jn2/uqUJztVn5 zzgYD+PKWFsscVqc8UrcjJ84EA/iMnQ/MuJG/Igj8RysV67PUXO+ycN3wsdV 4eV3wk/txjjsNC2BvmgSuqNKFY/kk7ySX/JMvsk7+acOqAfqgvr4VnRCvVA3 1A91RD1RV9TXT/sey+D86b/hs+/ex5kPTuLKv76PvAMLUL7idvV7fUbgROR4 B8Hu8wisnuOQuvw+FEsunJMo+VzjOujbg+BoDEWeYxmK10xEuctI1C+/XfLt O1HFte1D1n1X+N+NguD74AiSGsH3YbXfr7rX4jMBNtcHoNszB/azG5C3eyqq XEdIH8mzve9Ak88DqPdbgBx3VxS4+yDb7Xmk+tyHTM4P834aZrGVtcRb/u9u wcbLC5FgjkC2y3Ow+T4Ak7v4PMcdta7PIcuXey8/g0qv4VJvjESu530q9ze4 TUZsuSu0J59AZOcjSD2+FDsbt6gjP/M8r7Md27Mf+9MO7dEu7XMcjsdxOT79 oD/0i/4x5jSfGVKreCr/GQfjYVx1El+Tz1gVL+Nm/MSBeBAX4kOc1D0VwY22 iCPxJK6D+xwQb+JO/MlD+fJRKF49Cfn2pchsWw1j3xo4WiVnSNiKYqlfyCd5 Jb/kmXyTd/JPHVAP1AX14bwn91Ou36/Pkba/GgdDriuqLeuQm+mDOus+ybG9 cOHRRejbGoLivBC1jqLAEYTSDE9YHLsQF16BhOgcHMw9iFhTMvT7SmE6UAhL ZKvoIh06b8nPnjThyB3yN/AuZ17cPsqB6kfiUTJzl7x3o+bhBLSPZN2Siq5R 8t1xp7S9LxO5+7thCS9Ub9NATm4Jz0dyZAF0OZtRZgnBbl0OMtOD1TNDSlND UCr5c2XOLjTun49Tcxbg4mNu6N8jdUjhOuxNscKQth/h0cVItm/HkfKNeCtg Ay4/6I4Gl/mozdqEyqxVyLH6oszmA3OJP5JzYmCIqUdWTAVyI3tQ5deKdrcW pPpuVUd+5nleZzu2N5cEqP60Q3u0S/sch+NxXI5PP+gP/aJ/9JP+npy9AA3i P+NgPIyL8TFOxsu4GT9xIB6D2JgFJ6u8cwQ34kcciSdxJb7EmXgTd+JPHsgH eekVfkqEJ62PXvGm+BMeySd5Jb/kmXyTd/JPHVAP1AX1QZ1QL9QN9UMdUU/U 1VCd/Zhffx2YL53UXIVCvRva43xQm+IBc1o8zk/3wptj5uFsiC+akleiyrYA JZVPoCmRNcsmZO+yDMwPYt1iQNk25/qW3P0l2OSdha2BKah9Mhqv3BKBiz+L wknmzAP1yc1v5tVHJb9uuFuLSyMTUbO1AsU7dcpuxTYTMsMTYUnci4ydDuQa VkltOQeHTJEoyJuD7JKnUZb1DIqsi9BmXI++0IWomeOC0+OX4+VVa9Eo+kqJ i8eBjHA4wqwoTgxBXdsSvLdsFfoecUfx8vk4pg1Fuz4YtRoPtEqdUWpyR25s HMojMmDQl6FqVy26XbNwZEEptnodVEd+5nleZzu2Zz/2px3ao13a5zgcr65t sRqfftAf+kX/6Cf9rZ7rgr6VC1UcjIdxMT7GyXgZN+MnDsSDuBAf4kS8iBvx I45Hh9YrN73JA/m4JLyQH/K0JVCveCN/5JF80q5zfzCD4pu8k3/qgHqgLqgP 6oR6MafGK/1QR9QTdTVUZz/W19/+MvDcu1ea8caGaHzp1o0rXrX43K0Zv96Q ibfS3XFltQ3f+Zvx2p5SvKkpx1tuUqs/Z8DnQXJ+jQUX91bi4w3O56j/MciM 1/cW4VJUFd7L90Pv1v3YmuIFrS0IjQFJeOm5NHzgY1G5snNvKud6D5VDB6VJ 7h+Hz3duwGcBeXLN4lxDIu3ekz6dc1Lw4cBzTa7I+e7FBsm/7fgu1Iov/Uy4 EJqGzLWViAhsxLnFZjRGiJ/2dPxpWQs+Xd+IM/t/hY7QnWjfvBcdW36J07PL 8Zl/Mw4nvILKJiPOZSTgbFgzPtwmNYjUA3+UHP0tdxsuLtXgrRw/fCT2v/Wz 4dfRVqzsclNHfuZ5Xlft3G2qH/vTDu3RLu1zHI7HcTm+8kP8ObP/HeUf/Wyy ZqDxkF75zzgYD+NifCpOiZdxXxmo4YgHcSE+xIl4ETfiRxyJJ3H9YmA9DvEm 7l8Lpx/4WPHSvHS0Buigl++sTUZvHN4aJrz541J0leKRfJJX8kueyTd5b5Ja 5S33FKUH6oL6oE6oF+qG+qGOqCfqivoaqref+uuzP/0B71+9gLNvNEju6pzv VL3yHmR7vACHx5PO3/e9H0S6fO50n4Oc3dNQVBsKc6s7DI2usPUFwFrhjryw WSjzG4fS5SNQ5T4CFV53oYJ7h/mOQRXXg/vdjfyg+5zPJvSfCIvUAI6l9yJh zdPQHdWgxP9+6cP1Ic61JhWeI1DrK3l8yGNIc/VA9rSFyPWdjByvWchesRgW 37Eocn0MxnV7semULw6cDIF10x6ku94Pg+dkFK/fjgyvABi9n0ex/zK0ek8Q u8OR7TVW8v6JcCwegxR7AKLOPIOojoeQdtINYX2R6sjPPM/rbMf27Mf+tEN7 tEv7HIfjcVyOHy5+0B/6Rf/oZ67rYuU3/WccjIdxMT7GWTUQN+MnDsSDuBAf 4kS8iBvxI47Ek7gSX+JMvIl7mf84+e6YBVu5GyzH/JDY6Y2kwwEorF0t3x1T hb+5ikfySV7JL3km3+Sd/FMH1AN18c/w+tvAsyP/5cpL2J2cAkNqOGrSA+S7 PwRVkoc2xx7A0YcX4t2w3ajknrQ234H144EoS/eC0bETcQfL1W/84dYkHMoM R4G2Cc1PN6L7NhPKH7MgwS8Zcd5G1D/kQN8wm8qhu0byt34H6sbrUPb0PhTN 2oXKSZJD3+1A/612VE0pkxqgWvLwAsnDy2GWo8rJD+UiJawMenMMcjL8EVGw E8V8Lruax8VaKgDl6etQb9uCjhXT8cpkD/T6bUBJYTAMxjjoTFrorDFIDqtC dNo+VJXtx6tBm3F5wnwcDp2CooyNqM8Pga1gM7Ql1cgMy0OnW4fUXEXouzcH Xben4fCdOrQvCEa3HPmZ53md7dg+sbhG9acd2qNd2uc4HI/jcnz6QX/oF/2j n/SXfjfYNqs4ChwBA3uNBao4GS/jZvzEgXgoXIbgRNyIH3EknsSV+BJn4k3c iX/X3RYcHWZH3TgHNN5mxRP5Im/kjzyST/JKfhXPwjd5J//UAfVAXVAf1An1 Qt1QP9QR9URdUV9/xY+7ZvnrX51zQi+/+wfEh6ejVCu5qM4DTRovtAk/aUnx OHP3fPxu3XZ02ENQH+WPqrQXUFrxuHqOe2nCRmTvHlKzbBcupN48MS0LZfek oGKiBnuCErDXV/Q1Nlby4iic/Xk0Tv1AzcK8+hj3EBsejyMTLajbm4WSHcmo 2GpGhuTkZt1u5O6WcbbYkR+3G5aap5EjOX1dgr/6rb8wdSnKJZfPrJyNDtMi tCx5El1TV+DMgjVoM8j//Yj9iDFqEC85f9Z+I+xpnuiy7sc7LgFomOSCWv/p qNeGoMvkjxLrGjQm5KLRMx9Hl5bB9lw+Lkr+f+KWGJy8ZT+SFm5SR37meV5n O7ZnP/anHdqjXdrnOByP43J8+kF/6Bf9o59d01agletWxH/GwXgYF+NjnIyX cTN+4kA8iAvxIU7Ei7gRP+JIPH+oXiH+5IF8tD0gHPklYU9gguKLvJE/8kg+ r9UqwjP5VrwL/9QB9UBdUB/UCfVC3VA/1BH1RF1RX+p3sr/+OGuWwfk533Ie mGkLPvGSHNOjwfn2rsXVwGx8GLMd71j88Zl3Af4UasDlyFL85mApfu2mR/M8 I67K98UrUWV4Na4Y33mb8PHWdPTH1eGLgFx8HBmCj3Zr8a5rNoo2H0JxWQiq rVvQsjwFx+da8eoKIz4JseBbPj89lPOnUvHxKgO+3rUKXwRmqd/1h9Yq157B GMR18Hacnm/Au15mfCXnvlwpdYvk1f++xoy3dhajfHMTGtfmYW9+HNrn1uLS nEqcXtmPY2HH0bV5MVJXHUav12F861+L47Fn8b5PF2paNbhgtuJMeLNan/6t 2L3kYkP7Jqnj4sUnvxx8Iz68EePA6hMu6vhNgEWd53W2e0nasx/70w7t0S7t cxyOx3E5Pv2gP6dDj+Gi+Nchfu7Pi1N+03/GwXgYF+NjnIyXcTN+4jD4bMsb ahbeDxH8iCPxJK7Elzh/KtdeczXi5BybfH8ly/fvBhTXBKFgS6TiiXz9QXgj f+SRfJJX8kueyTd5J//UAfVAXVAf1An1Qt1QP4Naoq6or2//KeaFXd+3uf8l BxKPLEJ6jjsqVoxCqfdw1AXNQ81mV6R4jZE8dhoyXH1h4b5R3negxvde6PJ8 YD3iDV3pC0hpdYHx1GLoO12Rl7oMmXvnoDpoPIo870X50ttR6zIM9SvuQL3b CDS53o4St2HI8H4IcfuWYW9jAPadXwaHwwX1y4ZJPj4aVdzrivcNPCU397oD 5aH3IGP5bBRMewFZHs+JD1IjeU2CWWoB8/L5sGQkYv2l2UipSkSah9QRfjJ2 yBokez2G1BUeqA5cjEofySUkt0/3ewBGrutwfQAJG2bC+OIiRHQ+BPspye3P atUxUj6bXlysrrMd27Mf+9MO7dEu7XMcjsdxOT79oD/m5fOUfzbxs9AnQPlN /xkH42FcjI9xMl7GzfgdjuUKD+JCfIgT8SJuxI84Ek/iSnyJc5bgTdz1HStg Pr0I5sOuSK5ZAnOvH5JyvBRf5I38kUfySV7JL3km3+Sd/GtFB9TDUH38VF/O OdJ/w3//5d8QUxgF/b4CxCZkCw4hKLWvRp4tEKWFG3Hefy16NuxBXtEGFNp8 h+x5FSS5qydMqbsQf6gcll1FiHZkQrfTjsYHItA5Mh1H7uRv9zYUT7UhJsgM +xIz2u6x4YicG1xL0XmXcy1FybQDKJuzGw1jD6DOrxmWmFpY9ufCeqgItvBS WCUXNx7Kg/VAIeJ0VuiK10Cbt0nt81sw5JmPRQ5vVObsReWuJTg3dQkuzPFD W9YOxCdHQhNRhsScnUiJzELSvhJEJenhKC8ULUidFrgOeUckz0tpQPH0WuQ9 Y0Te3Bj03mJCN/cEuDMNR0bY0THWjOYlwerYO8K5FoTX2S5vbjTypR/70w7t 0S7tOyoK1Hgcl+PTD/pDv+gf/aS/lTsXK/8ZxzWsJT7GyXgZN+MnDgoPwUXh IziZBS/iRvyII/EkrsSXOA+uGSL+5IF8RAdZFD+9I2yKL/JG/sgj+SSv5Jc8 k2/yfm0vAdEDdUF9UCfUi9KN6Ic6op6oK+qLOvvbj3RO2N/UM8n+hv/1n/+N KF0hyramIDssBZV6PzQn+KBZ44bsvB1oChYefbeg1iY5fLwbmmIDUSm5anHp U2hI8EZp/Ebk7LJJ/pyEwoOpaHmhEC/dEoZqyXv7747H5VsiUfBUIraFpkC3 NBHHRkThZcmTT//ixnstL/48CidGxaH1llicXFKAkoMOlG8yqPsHqlbZZRzY Z5fPptSJbwvlb2sg2uO4dsUHLXG+aIwLRF2iKxrta3HCfwYyfJ/AiSUz0Jzn hzTNFqTvt2FfaiSSLXtgiI1G9oFI4d+EnsC9MK7ci/KmHWgMz0X9FDvOjUzG 6Z/FSg0fhTqp48/felBy/xj0y+fExZvVkZ95ntfZju3Zj/1ph/Zol/Y5Dsfj uByfftAf+kX/6Gc6/RW/6b+KQ+JhXIyPcTJexs34yweeeUNciA9xIl7EjfgR R+JJXIfeUyHuLwsn5EErfGwN1St+eI58kTfyRx7JJ3lV/ArP5Ju8k3/qgHqg LqgP6oR6oW6oH+qIeqKuqC/qTP1f+fH9V7lxHphPPr50a8cVz3p8Ljnmx15N zvUOXgV4K2U1PpA89Cu/TFxdZUZXVCt+vbcM73kY0DkjCW9G5OBSWDX+HGhA f2wjfr8tA3/2SsXl5N14x7AS/yr9PvZwoGWhHo3WjTjc44ej8Yfw4pJUHJ1l wcnFevzah89Rd+CTjVKLhIfic/9Myb2t36tVBu/FfCd5+UVXEy7I+7tV189f CZK6RXw8FVWPS9o2FJY4cCwqH6/NqMPxWSVI8z0Pq08qEr23oHvHL/Fn3yq8 HNqPT9zb8dtVrahuTMSluGq8vrMM/7pa7M9Nw7noILyh24+v/TKkXrHicnQG Np17Xh2/CbCq87zOdmzPfuxPO7RHu7TPcTgex+X49CPN95zyi/71R+Yrfy/p 2nAyqk7iMKl4Bu+NME7Ge3Ew5oHz369ZrE78DoQqPIkr8T21RC94W/HiYgeO Jx7Ekb4A1Nk2onmBAR952BVP7xhXKt7I3++3Z6A/plHxSn7JM/km7+T/sOiA ergq/agP6oR6oW6oH+qIeqKuqK9/lnlhg3N9WJWlX0hFWLc7MrdPQbnbz9G9 6nkU+cxFycq7Yfb2R7bX07B5Sn3gMxFFAWMkXx6OSs18JJ/yR3LjPOgLlkLX +gziz81BUv8cmPuCoMuZh440V+j0XojfI7n/hkcQFbkItWZXZJYsRuL55djZ Pw0bOp5CxOkAZG6bjirXYSjzu+fG/ZB9RqJo7Vikurih1FPysdnLJFefC4sv 99m6F2nrtmB73w5sO+eJ5KQEZLvfj9znpsGxfDwKfJ9Eqasn6gOWoNXjKaQH 3weT1B829wdgC5qGQ32rEd11HwwnJI9/Sa+O/MzzvM52bM9+7E87tEe7jhXj 1TjZ7mPVuByfftAf+kX/6GfRnGXid6D4767iYDxD9yNmvIyb8RMH4kFciA9x Il7EjfgRR63gqXAVfC1HBef+2Ug4J++uZxFf4Qpt8wtIEl6qhB/yRL7IG/kj j2ZvP8Ur+SXP5Ju8k/8M0QH1MDhn8Kf8Gvytu+J0JqIiHLAdLIIprAQxJsml sr1RYluL4vQANGbsQOr6fciyBqI47cbnijhrFi+YbXtgiqtA7do+1NxtR9kz 21H01CG0jrGq3/I5H6xdzjsWmRC32oDCWTb03CHnJUfuHCPfVdzDSvLp9ntN qHo8DnFmB6JS46GNzoFpfzEcB4qRFl4CS0QhrGFSr0QVYo85A4ZELUoybsyh CxzCb0YoquyrcGz+TJx9zBs9Bzcgtnw3NHzeoU4PfWYMSiKbpdY9ItprQtva EyiS76GYbANMKek4eVsRSp/ag+zpzCPz0Xm3A71jMtA5St73GNC+OEgd+Vmd 530haZc9PVn1Y3/aoT3apf0q10Y1Hsfl+PSD/tAv+nf2cW8cmzdT+V2SGari GIoz42S8jJvxEwfiQVyID3EiXsSN+BFH4klciS9xJt5HBPf8OXbEr9IjdaFR 8UJ+yBP5Im/kjzyST/JKfp33VW58tib1QF1QH9QJ9ULdUD/UEfVEXVFf1NlQ 3f2YXoO/dWfWHUfGrhRUcR3KVguyYg6hIcUNjQl+6NC6StwHoF8dgfoYL+de vVovNMcGoCxtAXILZqBW54my2M0oC0tFT3AVjv5Co9ZGND2chKoHUnD+Z5G4 JPXJieGSpy+Mw6Y1WmTOSMDFW6MlLx7IoW93rqk4PjoW9XeY0bC6EBU7v1+r lOxMQfk2Iwq32xCVuQcWyZXbuVew1sf5zBPxrTFB/EsKQWdUICoWPofuKW44 fMgNxtoVSDLuhtmxDcaSNejYm4uaTTXoWpKDk771aI0vw/4yPUpiknDxFi1O /eKg+BiB6gcMaHlYh3O3RuFFqU+O3xEJrdQrPPIzz7fKdbZje9VP+tMO7dEu 7XMcjsdxOT79oD/0i/7RT/pLv+k/42A8jIvxMU7Gy7gZf/k2Jx431yzEjfgR R+JJXAcxJt7EPX2WFpuFhxTh48Qd0Yof8kS+yBv5I4/kk7yS31qdh+KbvJN/ hbXogbqgPqgT6oW6oX6oI+qJuqK+qLOhuvuxvK7NA7vcjDfWx0hOeVhyS+dv 4p+7NeLDoApcCbXiq2DJfVfZ8E7mCry/0YRvfNPwxRobuqNb8fs9ufjAVY96 TwfOBxbgt/sLcelQOb4NMqs5SJ+vTcIHmlX4ODAHf1xtxueBNvTOtqPf14gz lVvQ2xKCy5pYvO2ShhPzjOidZ8DhEB0+PBSMP4dk4XcB8n3DOWB+UssMWZ/B PJ33C97ztgzca7i+hzBz5a8DLXhvezZePlCNVyJtyK/IxLtrTuE7z2r83q0Z pTtfhHmxHRkeZ/D7lW24vO4E3t5/GN8tqMfZ+AKUndyH/oQ6fLFVvkvmOvBW TAi+Xq/DlZBUfCf1yoVDuQg/P0cd+ZnneZ3t2J792J92aI92af/yupNqvHQZ 1yw1A/2gP/SL/uWXZ+GVKKvy+1/Ef8ZxbS+Cgb2VGS/jZvyD63+IC/EhTsSL uBG/DyOCcXilDn2CK/F9R3B+PS4Kfe2BOF2zBUd9TeidJXUP574JP+TpA00o vhDeyB95vCh8/nZ/geK3QXgm3+Sd/FMH1MP7G41KH9QJ9ULdUD/UkbrH4lmr 9EWdUW9D9fdTfQ0+U+O//vJX9HxwBNVdh1DgPhwdvk+g/IUHUOc3FXX+82EN vh9m7qfrOR4m/0dQFjQGNcuGwbJ5Oqydbkg6LnVKxWIklyyDrn0WYvoeRlz/ o9CdeRYHTzyD8CPTEdn1JMKOzkL8mecQf/RxaDoeRkL3o4g6OgWbT86A8XCw 5PIPSC4/EmW+o2949mS57wjkhT4tdbMn0jyfRt5cVzikFnD4jIVxhfiVZsae 0y8g/JgWuq3usCyZibKVrjB5jYbF+1loA4LR7LsM5SGTYfAdB4f3w9AvGwd9 ntRNpx9D9BF3VL2SpI5a+WzIW6Kusx3bsx/70w7t0W5ZqBssS2ep8Tgux6cf 9Id+0T/6SX/pN/1nHEOf8ajilHgZN+MnDsSDuBAf4kS8iFtk1xSF4yHBk7gS 3+i+8Ug5LPVhlSuSql2QfGIubB2usGyZrvghT+TLptbATFA81gqfdb5TFb/k uVD4rhHeyT91MPisnp/ya3Ae2LtXXkKYLgEWySvV/lsH85AUUQR9+m6Upfqh 0rYahRkB6LeFoTttA3JTfVF0w3MV5W2XHDbLDRmpBrQ+kIfeESa0jExHzeNR KH12K2rGGiUXTlXzj/qG29E6NhUWVzOSAg0oe8KKI8P4bBYr2u4xo/cuOxrH liJP04TIFD3CJK8PT01AQkIabPtLYN9TD42mEIbsLdCn6GAyx6EgxxNF9qHP e5R/231RnrcFLVvm4cIEFxxfsxMx1TugjUxHRmQtovVFqJgt447OxuERdnTf ZkHNklrkhDciMksP3Y4qdNwXgcrxFnSPsqNDfO8anYbe0RnoYJ2yJEgdj8hn nud1tmN79mN/2sk52Kjs0v7hO+1qvIrZaYhOKVJ+0B/6dXztTvFzOVo2z1N+ FzoG57gN3DOS+Bgn42XcjJ84EA/iQnyIE/EibsSPOBLPtnud+0YT57InLNAF GWBxt6D1fofwYROfLIof8qT4Et7IH3kkn+SV/Cqeb3hGTYDSA3VBfVAn1At1 Q/1QR2a113Ke0hd19u6PcF7YYM748rufQBsmOeUOPYp3Sk0gx4JdZqlHN6FJ 64HGOB/UJHsKDok4ZlqLBq5H596/kqu2aDhvahmysuegzLQUdZoEnLgrRfL3 CLwouXH/cI36rf78cOe6lRcH5h8dGaNBtLsW24N0KH8sRnLoKOkTrfawOnqv BsXj0tC9qxCp4XGw6PaoXJzzkcp4P0Hy38z9KSjWrUOOZh8KzCtRm+St9s8a uidXQ4IHugzr0RLyLBoedccrbpuRlrYV+Xs1oiMjDDYrDj+pwdlhyTh9yyGc uuUAjs3NQu6hUmwutKBwfZqcj8X5OyNRPVaPY8M0UptIvfLzm+oV+czz/XKd 7die/difdmiPdmmf43A8jsvx6Qf9oV+/FP8axU/626X2BPO4Ya8yxsc4Cywr VdyMnzgQj7KB+VrEiXgRN+JHHImn2htMairiXCZ47wjWIdpTJ//PNcJHpOKF /JAndU9MeCN/5JF8klfym5U9V/FN3p21io/SA3VBfVAn1At1Q/1QR2UDuqK+ qDPqbaj+/tFfQ/cDe4vzwDxbnL+Fq3c9rrg14bPgQrWX1JcrpWbxz8D7m5Px 6+xluMK1D0EWXN3gwOm4Gny+nflqKtKX5KND8uyvN6RKrmvF1WA7Pltjwuky d3y5NkXOOZz7366x4vzzRhx7xoZXNZHobgpGf9lm/GGvHV+65KBldTw6dvrh +GwHGqbp8Ds/M/5trQNfDcnbB/fu+lTqn66FzrUc1/bkGqxnQsw4E1GD322X ero8Ec3xZ/HL7cfxR49q/GFTF9IWn0XS+FrY3Y7hpe1SS+w8hS9XVOOPizpx WluIqpZknNjdjSMe0ThR5IEra7iWxo7vAqw4uysfKSeeVkd+5nleZ7setpd+ 7E87tEe7tM9xOB7H5fj0448eNcqv5vhzqC7Xir/Zym/6P3Q/AsbHOBkv4756 Ex7EhzgRL+JG/Ihjs+BJXD/Za8Xxqi043ByCV+OicXSuHefmGxQfV1n7CD/k iXyRN/JHHr8SPskr+SXP5Ju8X93oUDqgHqgL6oM6oV6oG+qHOlJ6Yg3MeWGi M+rtn2O/ML6u71V7/K0CFB+Yh3b3h9Cw8HHUSI5e7XM/ygNGwR4ktYr3wHM9 gsah0n80Kl2Ho8L/IZTX+yL2xWlIbpsBQ9lyGKpXIK5Lcu+eCdB0PuJ8XnzP o4g/PAkxnRMRc/gx9UxGjRwT5Fp810REXZiLlHxPVKy4Q63NUM9BHHweIvcR 9h+JTD8PZPnOQfqiBchyDUK5p4vUA/fCutEDu48kYttJFyTWaFEU6gOH1xLJ 0e+Hjetv3Oej29cPFSuXItVvgtQcUlMsGQOtYy2izsxCWNsiVF44qI78rJPz vM52qf4TVD/2px3ao13a5ziJ1Vo1Lse3bvRU/tCvTLcg8XMhMsXfDPGb/jOO G+LiGhSJl3EzfuJAPDQD+BAn4kXciB9xjBU8o7snIL57BrQNbhKvF5JaZ0Jz ZhrKhIcK/3GKF/JDnsgXeSN/5JF8klfyS55LhG/yfrMWfqqvG+aBFUQh6UD+ tfUhan5RWKHaeyo1LwhVDtGYdSUactbjeGUMsh0+Nz0HXvJoOdecuwdd3iFo mLkKzfemoudus1rnzRy45NltqJYcuPWudMntnWvAe4c5VO6cFKiH0cMsNUya 5M6pOD7MgoYVbTDEl8G2V/wJK0J8og3hjkTszI1FWO4hpGdtRI3kzobUfdia akZGVgCK7TfVULzHkrUOdSk+6Js5F5fnhiC9KBlJyZXIdGlD9mQTtN5adN9h Rs894u8oB1qGm5Hm0QJ9bBkM5Uno8IlDp+RMHWPsaj/g7jtt6Oa6m3uN6Fwc pI78zPNqv2C2G5ai+rE/7dAe7dJ+zz3S9g6pF2Rcjk8/6E9GYRJeeSYYvTPm iL++yu9Cx43Pm2R8jHObxGtI3aviJw7Eg7gQH+JEvIgb8SOOxJO4El+jhwnJ ASkKd+Kv1hEJH+SF/JAn8kXeyB95JJ/klfwWOHxuqKH4ph6oC+qDOqFeqBvq hzoyDuy1TH1RZ9Tbj2le2OA8sH//z78gSleEkh2C3w6jWqdQulNy360mZIUl o8rgi2bmy3EeaE1djeJ6E6q07mhKGMijWbPE+aNMvwKVpd7ocPXA8QcDceIO 52/6J4fFIH+KGSdud+b0at3EsGhVmzB3rng0GjsDtYjwSkK35NWvyrmjo4Wz 5U3IjtXDrN2BPMl1K8SfEsnL8/YakRMbjnJ9ANoSV6AgaR12VK5Gpd5Tcpib n3nigeaUUBw+4I7S5xbg0nRv1JoPoUBq6drnytFw7yFkLd+Lc5Kvnxku/olf x+XfTQsKYEjIQ0ptDPqfM+PYLTEoeMqM09LmzM+v1ytJizddq1d4ntfZju3Z j/1ph/Zol/Y5zln5d7bLHjU+/VD+iF/0j37SX/rdmHDj8ysZH+NkvIy7LdFV 4UA8iAvxIU7Ei7gRP+JIPIkr8Y30TMIuwbticrSaj0ceyIeaiyf8kCfyRd7I H3kkn+SV/JJn8q1qFdZQogPqgbqgPqiTZqmrqBvqhzoqHVirT31RZ9Qbdfdj mRfG+Tj/e3AemLdzHthnnvXX6xX3ZnzhVyS5p0Wt7+aRc8He12zDW8LTl96F +IrPsN+Whpeiy/ChtgClBw6jxCMT73kY8e1qh+TaZrXm+5PI1fhosw5XA51r vrnH73dr7HjZ3YieGRZ8JDnuG8Zo1Lf74mzabrxpP4g3kwLRNtGO0wuT0bMg GWeWGPFbX4vad2twjT7vKXzFZ6PM0+P3PlZ17doeWAP3WH63PQsX9zTgxSwt TqSm4VerTqNt72V8G9CARu9u2OZ3ocDnKCpcutDo1ie1R73gUIcvlnWipUzq 7pIsFK5Kx9XIlfjMP0/smvFNkA0vr81CTv0T6sjPPM/rbMf2edKP/b8UO7RH u7TPcTgex+X49IP+0K+TjnTxM1H5S7/p/5dDajDGxzgZL+P+fOjaeblGfF5c bMSRBXwWS5LC701dEN62heNC+k7Ud3rjNWOMwrvnaQsuC/7k4cuBeXTkhzyR L/JG/sgj+SSv5Jc8k2/yTv6pA+qBuqA+huqF+qGOBuuVzwbnhXk754X973+K eWHO3/v+8tf/xodXL6CldB+OBS5A4WI31PtNk7z6TsmzR6Pc725kh3BO2AQY vSYgN+h+tS9VGfcF87of1oogRJycirieyUhseQHGUlfo6xZC2zsNsb2TEdMl uXb34wPvx669NfKZuXls23gYLy6BPWkFSt1HSE4tubUn9+QaWIfveQcaAiYh R3LtfK/nke+9CNme86Dl80NcpW92NHYfC8H2U7uRlLQdBbOnIC1oMkwe45Du Mw55Xi6oXrlS+s+T/P1BONweQvTGmYg7Mxuaiqko7vFVR37meV5nu1xpz37s Tzu0R7u0z3E4Hsfl+PSD/tCvfJ9F4uPzyPFZpvym/4yD8TAuxsc4GS/jZvyq hrsJn0HMYlirHJmExL6pMDVJLVbpicTWhVK3TELEqamwlAcpHsoH9mkjP+SJ fJE38qd4FD7rfKcpfo8FLVB8k3fy/2P63ff/9nXzPDBreLHkldf3mXL+Hl4M TYoZ2Zm+kisHoSlrAy4aklBn34Ki9Ou//efbfFCcvx7967bg8uTFOPPMYpRM 3Y+WuzLQOcak9tBtU3OMDqJszg7n3rmSD3fc45yb1HtHKgpn2hG3Ohnpywxo HpmF4oDDSI0sQaL4lRyZj7jYHMSZEpFQGgQjfw9onYG0ElfkZq5HVFQ5imyr UJh2cx3FdSx+KM3fjM6Vz+HyU4uRHlUgtfZRtI0w4+gdVhhdDciZJbXEcKlD xmSiR3L35hFWmHy6kKArgzlbh+Zx2ei504SuMTbnvRU+11LVK4HqyM88z+ts x/bsx/60Q3u0q+zLOHkzTTDLuEeHW5UfZvEnVWKkfx0hzyp/i26qVdRb4mOc kdHlKm7GTxyIB3EhPsSJeBE34kccm+/KQvpSA+LWJKNIcCbexL1j4Nmd5IO8 kB/ypPaWFt7IH3kkn+SV/JJn8j1Yp1IH1AN1QX1QJ9QLdUP9XHsujKqD85XO fmzzwm6eB1apcklnXumsWbgvlBk5kbGoS/ZEfbwXelL80a03Ii9tDzq1btf2 662Pd0OLcQ1O+WzCyRnjcHLudHTftx0nbovHxeERqL07BUfv0jj3Lx6yhuLU wNykSz+LRtaMRGxaq4PhBQ1qx6cgeXslsrT7kLbDhqJdJmSHa5Gr2Y/S5JVo TJJ8nvO9JC+u0AXDkLwP9VrvH3jWI++xeKLLsBa1Ac+h5wlXVO8woXB5BU4M zE/LX3AQNY9H4vzAnLSzt0eh/2cxqHQpQ5QlH1EZFhweZ0bjCB3OD5Oa5OfO e0SsU1IWbxyoV6LV+Qtyne3Ynv3Yn3Zoj3Zp/7zUMvWPR6DwhXDn/Djxg/7Q L/pHP+kv/W684RkuzvgYp17iZdyMnzgQD+JCfIgT8SJuxI84Ek/DAo3gm4Ts pxMV3kPn4F3b60D4IU/ki7yRP/JIPskr+SXP5Htwv2fqgHqgLqgP6oR6oW6o n1K1z/XAPgzyps5+TPPCBufhfPpKM17nPDD36/PABuuVT91b8Ilf6cB+wvaB 3/ct+Mw3D79O9cSH0TvwpX8Wvgoy4ZOdaeg+1Iize+vx+SoL2ubq8YanRXJh G/7onYnXzevwqmkjvvXJxBf87X3IWox/8ZO/bXOS8asVUoNsseJk2kFUHZ2C 5Ag3fLA6Df+6LlN8ycKry604+rwBvQtScNlVxgy0qnXl/77GgbPLTFL7ONfG D70fwefKfyM598WDNXg1MgtV9Vp85d6IN9b04EL4WRz3akR+8EnkLO3Csd1n kbntBDpn1uIPEv/XzLH9m5BVpUNQ6y68nbkL33il4Yr4z3Fe35KOnORH1JH1 As/zOtuxPfuxP+3QHu3SPsfheByX49MP+vOVWyOqG7R4NSpL+fuNurdiv+F+ EcdlnIyXcfPZLJ8EWfGK4EFcjs43KJyI17+uz8QHq9KQEiV/H/qn4kT6IXy5 2YZfC86ds5PxG8H9u9X2IXPorIof8kS+yBv5I4/kk7ySX/JMvsk7+acOqAfq 4qqqVWxKL2o/ZdEPdTRYr1ybFyZ6o+4+/afaL8z5N+HrP32I1iBfdD8+HpUr H0S55NjlA3sUV/mMQl7wfbD4j4fJ72GU+w/sVeV1p9Qt98FUEYLo49MR0/0w EnunI1nqFYPULUkt8xEn/2eieyZBI3l3HGuUw4+p+wWDb83hx+U4AeEn/RG+ eR5yef8hkPv03iW5/kj1PPcab6lj/F5AtvcLyHVzg8PnQVh8n0PtouVI3+mN fX2x2NftjdhjCXBE6mBd7nzeosXT+fxEbUAgklzXIs93Ckxu9yE9eDpMlzbD WjgRxuqn1NF0cbPzvFxnO7ZnP/Z32nlY2aV9jYzD8Tgux69d5CL+PKv8ynV3 R7bPC8pf+l2paq6RKh7GxfgYJ+Nl3M74h+AhtcogTtFSk8QffRK6tueRKHWK rn4JEo5IHSg4RwnexJ34kwfyQV7ID3kiX+SN/CkeWTMJr+SXPJPvofz/lF9/ bx7YtVplcG9cPks+vBSJmWEoTfNASf5qnAsNwqmgrSgoXK/2heJethV5oWiI CUP/ky44N8MFF6a74MwsF9RPlO9w1iV8ljqfZz8iA3WTNcidtQt1kzTqs3pW 5BgLeofb0X5PKmyLdEhZmwZNTjU0Zi2syYnQ5W+QHDgABVleKLdKnmwNRUa2 L0y1z0HX9TQOVu6DI38TyuR8MfesSvNDweCaD7svSvI2qpwhb7kr7Jqj6L07 R2oM7ptsR9P9ViQE69B2nxV9o/hsRalb7jaj/U47klYdwf72BOQk2VE7Isu5 Rv2eLInF7ly3sthfHfmZ53md7die/difdpQ9savs32tFfIhOxrWp8TtHSe0g /tjEL/rHeff0l34r/1Wd4qfiYnyMM1ziZdyMnzgQD+JCfIgT8SJuxC9WcNSv Ja5ahe8RwZl4q30OyMekAT4mO/noUs+UNCveyB95JJ/klfySZ/JN3hX/ogPq gbqgPqiTBNELdaPmgd2kqR/bvLDBHPHykHlgN9QqOwZ/D9ejYLsFuUlb0aIV Hs2BuOy1AhWr9iMzV85p3FAvOXS7KRCHd+zGxbGL8dL4ZTi18CG8OHsajo0M x0XJi+vGJ6Ne3lwbcfM+xoNrv3mvpX9ENPQLo7ByfS42NZlgNexCRXQ4SlKC Ua/zVnk596VqSBxYp8L5X/G+MOeuhL1gBdo0cl57Y83SEO8hOfZqtOxZhmSP QFTtb8L5XyTgzM8jnPdJ7oxGhtdenBg+UHeoPcoicfLWGBRJvrCvIB3xmemo uM+C87dF4PSwv1OvyHleZzu2Zz/2px3aO/0LZ78TwyKRJuP13xk9cF8mQvlT ta9J+dcqftJf+n1DHBIX42OcjJdxNyYOrGsRPJoG6hbiRLyIm0XwI46h63Jh WOjE99IP7HEwyAP5IU/ki7yRP/JIPskr+SXP5Ju8k3/qgHqgLqgP6iQ3aZvS DfVzs6aos8F5YZf/weeFXZsH9tFHznlgXkPngTVcm7fzqUcTPgoqHMhBr+fN X0l+e2WVDa9LjvoRn6sYmIY/BRvx0pYKHIlsxTfbHPjC34KWeQa84m7Cn1em 4/0tibgSsUby97xrz1MZrFm47++VYPlumWvHi8sN+IPky10aLyTv8YQ+dTKO J/riU8NmfLlVh8/XWPC+5OIXX5C//c8ZcGJRiqp33vIy49wiI/68xrlf1hdD 7rF8FWTBR1szcP5QEzqrYnEhslytJfl8XStKN5xAy8ZeFPqfRHZIP16OuoQz K5rQ/kQ53lpWi//wbMQJ104czN+CtgiJbWUqrkh98O06O85pCuGInoTzsQX4 bq1dnef1VmnH9uzH/rRDe7T7cvQlNU6h/yk1LsenH/TnYkS58o9+0l/6PXhv hfEwLsZ3VuJkvO/5WXBS4u8WnIkHcSE+xOlTwyac1PrCkDEJSfs80Sl4fmLa gLPL9WifY8dnwWaF++BaoMHntZAf8kS+yBv5I4/kk7ySX/JMvsk7+acOrqxy 6uL6813sSjfUD3X0Q/qi7tS8MNHhUF3+lF9/GajL6qpy0TBzFtqCHkaJj+TX Q9ZcVPC5H5JvW0MeVr/bcz/ecr8xzj2Mve5HcV0gdMelNumchJi+R5HQPRPG imUwFy+Dvn0uEvpYm0xEXNejN+Tn6t35KBKPToK1JwB2nyfg8L5f7eNb7TNS PU+xwmsEGr3GozZgKXI8lst3yFyYve9Bod90VC5YAVOpFtuObsa+o5tgrkyR emEWrF5Ss3hPgNnzIRT4TkLBshVIkraZgROgc38ce5u9YTrqiZ11T8HU54G9 TV7qPK+zXYGLK/L9Jqn+tEN72T6zxb5ejcPxTGVaNT79oD/0i/7VBixR/tJv +s84GA/jYnyMk/Ey7u9h0eXEKaF3Mgydz8BSvgLGyuXQHp6FmF4+03KS4PyU wpu4E3/yQD7IC/khT4qvQe6ER/JJXskveR7K+0/5deM8sOgb5oH90NsaLjXL oRLo07iHrQfsuj04PiUQPZoDqMgNQU66Lw6b9uHlmR64MG0Jzj3tgrPyvjh9 KY7Nd0HFhCTnMwoHn6sueXDzGCvK525H0ZRDaBvt/D2//R4LukdacOq2XJTt PI4dR/yQ2j8ReSVuqDCtRak9CEWp/upd7JC3LQgFltUozHTH5roNWNUZhIya +cjJCkaxdRWK+FwQ3vtJDUSlRfL9hq3Y3RCBzKgWVD9diu47ZdzRGegfZodj YTIcS/Q4dlsqukdL3USfxJeue80It5ViW2kWMoOycfxW1h5257r1ofXKKJs6 z+tsx/bsx/60Q3u0S/uOxXrYZbz+YQ4cHpOh5pHRH/q1S/wratyKSqsf8qU+ KVD3h4JUPIyL8THOLRIv42b8xIF4DGJDnIgXcXMIfsSReJ66NVfhS5zV/S7x ifiTB/JBXlTtONp5nbyRP/JIPskr+SXP5Ju8k3/qgHqgLqgP6iRJ9ELd/D1N XZ8XFv0PPS9s6Dyw6Jvngf3Am2siCnZaUKjdgNYk+Zu5fyv6J3hIThqLVuGz XuuOE9E78eYjy/Hq+Bfw6sOL8fI4wXbpvTg1bxr6RkTi6Kh49Zv9hdudefv3 ngEi73O8/zAsAq2jHMiIL8XaJh/sbpsNfb4nsixrUa33R4POB+0JnmjlPrkJ PqhL8FOfddYtMGf43VCvDObxDZLDtfBZKlmh2Fkfi9yYMvROtOIs18QPj5G8 PAaVs8NEMwdwQf7NuuO0mrvG51nGojGoAetKclAbaMRlyfVPDY++Nh8sZfGG a/PBeJ7X2Y7t2Y/9aYf2aJf2OU6FjMdxOT796J1kRV50mXxPxaJF/KS/9Pt6 XXa9XmGcjJdxM/6meB+FBz8TH+JEvIjbrvbZWCc4ZsaVKlyJr8L573BAfmpH pSi+yBv5I4/kk7ySX/JMvsk7+acOqAfqgvqgTqiXwb2tf+g9OC8s+h98Xpja D0z8e78z4gfmgQ3NJxvxYWgOvgqxDMlDbWptAveC+t3eKPxLzhJ8xucQrrHh xT01eGd3Ac5rKvEF5woFWtD6vAEvL7PizxuT8WKJBz5dY1FrIq7bskg7B770 z8UH0XtQo1mMtvVb0Ds3HZ+HZOC0fQGM2fdCUz4TL8n3w7sZQfg4MRTvRUXi 81UmvLYiE2ee5f0CE9qm6/BBkDMP/3YVn+8++EwXu1oH8uq+WvTmyndCngVf LO/EHz1q8Uu3BqQHn0d/7MtIdjmCnP1vSgzH8YfF1WieXoWX5tXi9HNlKC3c jMKmMLyxrwDfco7WWgf67KXISpqojvzM87zOdmzPfuxPO7RHu7Sf7NKrxksP vqDG/1r8+MKlE4dzrcq/V/fWDqxbGXiOSogzHsb1ocTXLnF2zjaquF9zzVQ4 EA/i8hvB56W0QMRVzoIxV/5W2RfiyspMhWfbui0KX+L8pX+OE/eV17klL+SH PP1J+CJv5I88kk/ySn7JM/km7+SfOriq5oFZb9AJdUP9UEc31ys3zguLUHr8 6c8Lc353/pf8q/WIGTUBs3Fy+fNo8ZOaxfeuG9aJMwcu8xuNgtX3SU58t7p3 UO4jNYvHCFQEjIO+wxMxRyapewYxvDfQ9xiSWufCULwChqpl0HY/jTjJuTWS c8fddJ8lpmMydKemQt+yDka3R2HzfBBpgeNQEjBaPWO+2vtONHvOQVmgOzLd FkvePx5Gn3HIch2P2K17EXHChLCuNdh2LBHheXEwLb0bNt4T8ZogbceiYeOT yH3iOalD5kC/7B7kZbnD8XoE9rZMUce8LA91ntfZju3Zj/1ph/Zod9sxrRqH 48Vu3afGpx/0h36Vi3/NnrOVv/Sb/jMOxsO4GB/jZLw31iqPKVziBR+d4JRc sxxJZe5IansWcX2Pq3stxDVa8DV2eCi8iTvxVzwIH+SF/AytVcgfeSSf5JX8 kuf/wvV9F37Kr+/tB3bzPLAf/D28EJGJ2TAW+KEzNxK/fMYXL80MQKNtL6qy d6BtaSguTFmEszOWq7zWWbMsx8WnF6Nl5io03cO19Ba1voM5MdfVO9dLRKL4 2a2oHWtCL/cJHpmFos19sEbVQJtsQEaFG9K6ZiK1dR4K00NRaNmAzIwQZOT6 ID/bC8UZHqh2eCAtdRN05hikV86HoekZOGoXoDDHGxUO7gHshaKiTUg+WI2E HAuSdQVo8m5B+y/0ai1J/6h0qSdSkeifgsbxGTgyKkOtm+czS3ruTUTN1ERU be6HtcmKrGcK0Ds8TdUfzvlg/s75YPKZ53md7die/difdmiPdmk/QcbpGC3j jkxX49MP+qMTv5R/4if9LUj1Uv4zDsbDuBgf42S8jJvxEwfiQVwKrRsUTqkt 8xRu6YIfcSSexJX4EmfiTdyJP3kgH+SF/JAn8kXeyB95vMap8EueyTd5J//U AfVAXVAf1An18kP364bOC7P9COaFDf6WnVV3HJkD88D+Xl459PmPGeEpKDJ6 4ITxIN6Z7IpT0zxhSovBYeNmHJ0VhFcfmI9fTliMXz68UPLaxbg8bhnOLhuD vqcXofdW6fukASfviFHPVR+aI5+9LQrnJYduHZOI/HE2ZGxrR6otHFkJ+xCT 74818jdyS5f8jcxdK/mY1CWONcjO9ket3gMdySvQpVmB2hRfpOT6ok7nodZ4 8F5DC+sayanrJYeut6xBwfo0mDO10JiycXpZAU7ecsi5ZkV8OCHjp7uHo+du 53oO5/0H8fW2CJwdFofUyMMIb81A9VNJOCs1yZnbb6xX+Jnnef2gtGN79mN/ Vav8wrle54jYz3A7IONFq3E5Pv047VIgfuVILaIVP1OVv/Sb/jMOxsO4GB/j ZLyMm/ETB+JBXIhPsuBEvFYLbjF5/grHVHu4wpX4EmfiTdxvqFu43l74KZpi UHyRN/JHHskneSW/5Jl8k3fyTx1QD9QF9UGdDH2+5N97U3fUX9Y/6Lyw6/PA mpz7gX1vHtiQ+yuSZ34Umi358k31Ct+hFnztk4Nfa7bj1zHb8PmaQrQcbFH3 AT6W3PZCXCWubE/DN0HyHfJCCs4sTsdH+lDJc3X4IijVWfOEWPGVbzY+2pSC d+Vv6K/k+lebzHhpfirKn0zER/42/PvqdLxXvQAldk+sS9yAPO06vB4fg881 6/Bylic+0IfgN4m78ZHYbZpmQc9UO/qft+BNd5Pk6WZ8I3n116xdJOf+aFMG TsbXobojFr+TuvuqZyP+ZVENzsyswYnI12BY/zqil53FhXVn8LWfs357cW49 ih/Jxa8Eq4uJlUjNT8KHG/LwRah8T6aVodx4P7rTStXnDzfkq+tsx/bsx/60 87VfnbJL+xyH43Fcjk8/fhfcgCrxi/59tDlD+Uu/6T/jYDyMi/ExTsb7rsTN +IkD8Xg9PhZ5urVYJ7V1scMLv61eqPAjjsTzpXmp+GqjWeFMvIn7Vd9sxQP5 ULyI3Y/0qxRf3cIb+SOP5JO8kl/yTL7JO/mnDtSeDDdphLqhfj79gXpl6Lyw N9S8sKYb9PlTfP0Nf1W/YXz55WvIOa6BSTcfXe7jcGbFQrT6PyK57o17W1VI blwaMgb24HHqngHnHFXy+ophyNz/LPQnFyO6a4Jaj8F147E9k5DQ9ySMDS/A XLACppoFSOqdhjjWNZ1D6pbuxySHn4jo0zOxuXg1UpZPgMNzHMy+XDMzFhV+ d6JJcv5WnyUo8PWRa49KLcF5Wg8h1XUi9pdYsabnIHZUrEJi5SqY5W+4Zdm9 Umtwnf3DyFvJOVGPIvUx1iyTkZC2CdZ3kmDoelwdE+Uzz/M627E9+6n+Yof2 EqtWKftre8LVeByX49MP+pPn54cW8a9Z/KS/9Jv+Mw7Gw7gYH+NkvEPrlLie iYLLVBjqF8FY7K7wSuydAo3gN7hPAXElvsSZeBN34k8eyAd5qfC6uVYZoXgk n+SV/Ob0xyq+nb/z/uPlTf+vXswJ+U337pWX/8d5YD9Us9jCihGTbMSp4t14 fZ4XzjwyH5XbNTh6UIsLE+fj3KwV1/Laa+/py3Fp9gLUztgmeXEGDt89ULNw btjdzt/x6x4wo2rublRPSoAh+DhMmlKYw3IQH5eDQsdalNjWIaN2GTKOToa2 dyG2GwsRY0qDPTUSNp0GUdYIHMzdifUVB5FeGIqMvNXQNXpgxzEX7KteA225 DnEh7ei6pRxZOyXXyUxB+tZudN0rdcko55qUnuGZKJG/2Smeehy5nWs3xMdR kq/w3skDkTg6IgdNezslhyuUvD4T3SOtA+vt/dXxsHzukvOmzAI0SrujI3JV v1a117FN2esVuzqxXzTNgWMy3mEZV40vftAf+kX/OsVPTXC78pv+Mw7Gw7gY 3waJk/EybsZPHGKMaQoX4pMuOKULXsSN+BFH4klciS9xJt7Enfh3DeGE/JAn 8kXeyN/3OBWeyfcx4b1K+D8tOqAeqAvqw3bTmpX/uQ4enBf2svOXgn+gmuX6 cyE/ge5/mAf2vfdOPSq2mZEZEY2XrdvwqyluePWuWcjdHoPGiCS8PXIOXpm4 VHLaRQPvwZplKU663IPOp6VOHZ2O48Oda+4H8+Tzt0Xi2Mg4lD5kRNn9RhQE 1KI8XA9Hwk5k7TOiUReA2MxtiKj1hKZvGqLaliDSZkKMXi+1TAwSk+KhdYTD YNqGfc0eqLe6Sf4egEqTPzItq5EXvQOlKXHI9ijEsVsS0bDejP3FyahYV42z wxMlR4+8tqak5ZEI5CwNw7lbrs+VOivHvuHRaBNN14U3Q5Ofg3PDNeoZi8dH DNQrIyLVZ57ndbZje/Y7e/v1uVa0m7MsDC0TI9V4vN/C8ekH/aFf9K9f/KS/ 9Jv+Mw7Gw7gYH+NkvIyb8ccUxCg8Im1mhY+mb7rg5aVwI37EkXgSV+JLnIk3 cSf+g3UjeSE/5Il8kTfyd61WGeCWPJNv8k7+qQPqgbqgPipuWrPyd+vggXlh umvzwv5xniM5dB7Y26bN+MSr9YfzyGv7OP2d+yvX5g9Z8WlQFn6fuRgndQZc OtCArzZInu1nwaf8PT6+Er/fkYk/rRReZqfhyN5AvJW8H9/4peKqfwauBKfj Nwmb8HaGG36/JxpfSN77bYgdb/vI39p5BvQ9l4JfeVjxjdQCv8t2x2uJe+Tv URj2RQejdbfk0hsy8Nm2eLwTvwa/yfJDW4QXTkdswK/WJuL4UiO6Zcxzz1vx nrfURass+PMaE97YJ/VKgx6nU3Lx3ZJW/Na1HkenVuJqUCN6V72CPc9fQEHQ eXwR3ILP3OvxjWs7UldpJacKw2+nH0N3tg0NaVxXX4bTmkI028bgjBz5mee7 s+2qHduzH/vTDu3li13a71t9WY3HcX+7ol75cSo5V/wyKP/oJ/2l3+fFf8bB eBgX42OcjJdxf7Y1XuHQskePvdEhMBwKE5z2KryIG/Ejjp2C59u+JoUvcSbe xJ34kwfyQV7ID3nqlzHJG/kjj+STvJLfS+ENOKk14PcZixX/V2+6r/K9+yue f6deuXYfr1Xp8ac+L+yvA88HPPlGI0qqluJ4Uwyyl9yC9sDJOL18AVoCHkeZ zx031CzlvqNh4R7Hvg8jK+QBlPuNRg3353W5E7Yib8T0T0GsWmf/mHN9Rtdk VZ/oeqYjpXIpjIVu0Lc8D+3RKZK3T5S2k515e88TiOucgLgX52BPmh8Myx6C w1tybN4jCRiPwqAx6PKcgaoAf6R5z4fVe6y8J8K2fAzMB12xtWIjtuQG4VCB N/b0bkB86Aw4XO9Xz1LJkLaN/neh21X6T5mDbXuX4eCJ9cjsn6qO/MzzvM52 bM9+7E87tHeo0FvZ5zgcj+NyfPpBf+gX/SsSP+kv/ab/jIPxMC7Gx9qD8aq4 JX6d1HMpbQuhL/ZAcrXkaz1PO+s5uX5tHb7gSVyJL3Em3sSd+JMH8lF+037Q 5I38kUfySV7JL3km30P5/6m9rs8D+/fv7Qf2/++dB8P+UiTo5DviBVe8Pt0d h027UGELw0tzA3Fp2hKcneHyvfz2/DQXnJzjgpqJiejiOu6B/Jh7Uh0enYr+ uzLRcmcq9u8qxKHieKSEZ8OyvwTJ0XlIKNiIcocfyqxrUZC5BlH1q7Crxx+H zHak7WqCbV89EiNK5S15b2YCkrQOmKNyYYwoQEJkLhLNlYjbUozCKeHoeEhy vemliMyzIy+qDg2T8sUfk7o30invI3dkINFbh6rHDOp5kIelzih/0ITuSQfQ cacVPXelo93UAYM2A40/k+v3G9Ah9QqP/KzXynVjh2rH9uzH/rTTI/Zol/a7 h2eo8Tgux6cf9Id+0T/6WfhUODTid6K5QsXBeBgX42OcjJdxM/50wYF47O72 R4zgQ5yIF3FLyN+E5Kg8hSdxJb7EmXgTd+JPHpycWBQ/5Il8kbebuSS/5Jl8 Vwrv5P810QH1QF1QH6YfWrPy/zkvLErp8h9lXtgN88CSiiRn/J/ngX3/LbXN VivywnU489RS/Gr8cpyJ3gxtejT6Z/rj7Qfm47K6vzJQs0xw1iwvP7wEx16Y ANusvWgZa8S5WyPVuu6zkq/Xjk1G0QQT2kckoHR5MSr2pMGmOYTs+DAUb7ci 1xiKtkR3pKRvgi17DSJqVmJdSzC0KRpUbE5Dzp4MaDSZiIovwfa67QhL0yE/ zIqi/Sko3aVFRVg2yhaUq+fPn7/tII7IWJGFeuRoynD8PgPO3DowV0ut3YhG 7oq96BgfLv+OVXtmcT1H04QkVN2vxWu3xaLGUQmj1oYzXCd/VySSpV7h8cwt keo8r7Md27Mf+zvtxKLj4XBl//y1de4xavzj9xqQE1eq/KJ/9JP+/h/y3gM+ yutK/3cvYJqNjbvjEhdMsQEXMF2o90bvAoRQ731Gmj4aadR7r6gLFXqvbnFJ nDh2HPeCDS7Z7G62ZPN/fue5I2FwcBJI2XX++ng+wztz33vPeb4HfI7eW2g3 7acf9Id+0T/6SX/pN/2vW2dTelAX6kOdqBd1o37UkXpSV+pLnak3daf+5EAe 5EI+5ERe5KZqlXu+rVXIl5zJm9zJX8WBxAPjgvFRfZE1K39qXhjjkPH4f2le 2F8yD+zCeqUd7weWfG+9omoW3xx8vsKMjrINOLyyAb8NNOIznsHOOVPCcE9S G17fUob/9LGiKTgGe9b54jfutXg3LA6v57ngl+lrVL7MfaU+5/OQZVYceFaH tzxNOO1vRtfTWXhxkeTJy2x4Xe+P96PicWSzGdF6T4Tr/HEs1Ij/9KyRPDwP x31TpY5Zi09MAXi9yFNy8WU4sDYau57Ton9GLl6dY8G7S4sxmF+L9s508b8b 7y1pQfeMRnwi718va0dr4FGsmfES3lg7hK9cGvHOvH70BUTjlVXlGHi4Gftn NaO5Mw79eUa8uqwE27PHqHdeN3fEqe/Zju15H+9nP2+sGcLaGS+q/jnOJ8Pj cnzaQXuGxC7aRztpL+2m/fSD/tAv+kc/6S/9PhZqQJguABF6bxzeZMYH0fFK pzOiF3WjflxXQz2pK/WlztRb1YuiPzmQB7mQDzmRF7mRHzmSJ7mSLzl3lG5U 3Mn/+2JD1SsSP4yj76tX/v80L2ykDvv5qwP46K2jOPrea7C7j0ad501o974D bc4LUOPzGOq9HDUL9+St8hgvufhdsLg5aokcv7tQEXALmp2uR/n6x2DeNw/x /fedy7XVMxTWL/0/UusysvtmIKtyMbSVS5DV+5Tk61xffq9aY57EPcMkp9ef eAbpBhfo5k9Sc61MbndD73UnSgIewg5vV5R7OcPCfZbFDr4Mrvcgq301Espd sTx/KaKHXKFplX+j3R6AxeUOlHrdiga3UWgJuBmFC2ehZq4zSpp9Ebv3LvXO a37eEjBBtWN73sf7NW1B0p8LVuQHI6HCVY3D8UbGph0VYg/ton20k/bSbtpP P+gP/aJ/yTseVP5qdj4Ibd9TyKhxlZf8v7dvJtI5X050cqzz+XYvNeppEV2p L3Wm3tSd+js43KW41A3XKuRFbuRHjnWeYxRX8iVn8j6f/z/bzx/+cInzwC7y skQXIiWhBVt9S9AdF6LWXdcV+WNXSgz2PuKB49/9XfzwvLBTU+ah+wk/tN0i eT73BB6XI3l8HgYm5KJrlAG5Lh2wxm9HuiYbW/MTkaY1QBvWDH1WkjofUe3z leeP1NRypKSVYlnHKvg3hiEzvQj5W5tQtK0GURkliEgphyWiHLrIItiTG2Bz 7kLnDRZ032pG/aNxUgfEIDddj0R7Mbrk3/yBa7LRd7NZze/iue4NDxqREqBB 301Sv4zKQfGUNFROj8bgaM5nM6J9dAVKczpR51WIvmt16HPyUe+8LpHP+T3b sT3v4/3sp0/qlzR/yeUeNKl9uXo490rG5fi0g/bYxC7aRzu7bzUpu2k//aA/ 9Iv+0U/6S7/pf0BTGJbJ3z/qQn2oE/WibnrJzbRbm5We1JX6UmfqTd2pv+JA HsKFfMjp1HfmgZ2rPeVFzuRN7uTPOGA8MC4YH5cSTxebF/aH/wN//87NA2vd /xfNA7vYqy5EI5wKYFxoxu4N69Cr80OXxQflWSk4cs9CvHIX5wzNvaBmeVly 3lfvmINKl+dgfTAGL14ZL2zSUHqPEa23a3Hwili0zClHbZTk0usMKEkOR35M CirX56A8fhs6M5zRnuEOU+FSZGtMsCZr4NO6Gt51m5GTkIGONXq0yX3h5kRs KUlEVmQZEqT+NmVUId+zDnuujscprtu4WuqkK5JRGm5EeHkBDj5dKXVGJA5d 76hXjl2ViN5JMShwisThq/nMIREnrnWs59h5axqOXi055I0apBb2os7dikNX REPjtEa98zq1sEd9z3Zsz/tODK9dYX+FiyNV/xxH1SsyLsenHREVBcou2kc7 aS/tpv30g/7QL/pHP+kv/ab/PqID9aAu1Ic6US/qRv2oI/WkrtSXOlNv6k79 yYE8yIV8yIm8Xv5OrUKu5EvO5E3u5M84YDwwLhgflxpT5+aFSVyeH6f/Wz/n 7wf2p+aBXbA/mGsHPvStvGB/sD96BXB/YTuGpC7d2bQcZz2k7gg2S05sVevF z6ywoi+xG69sqcXvg7LRlrgY1duC8I78m/fhmmyc8S7EmYDhNTFcUy6vgTk6 fOxrVmchfiH97JqdjSOzddJvPl5NXYc3Ezfgy+Vl6IpIwpr0QKSkbMRboZIf uxfgyBQTPgkqwOml2fh5QiQ+0gTj5VIP/DQpEF0hm7HnuUQULW1FWr0Rb2xs wm+WbEffU3V417kVp5dI7ryuA1ELX0Ke81H8LqAFry5oQ2X4RvxLQA0+d+/A iemN6HyyA8bSbAxGFmNH1ET1zmt+zu/Zju15H+9nP+yP/bL/006tajyOy/Fp R7rYU7S0RdlHO2kv7ab99IP+0C/6Rz/pb3JqCFZnBKErPFnpQV2oD3WiXtSN HKgj9aSupwMd62GU3lwbI/qTA3mQC/mQE3mRG/mRI/shV/Il56HyLMWd/C9e rzj2B2P8MI4u2B/sT84L+2fdL+z/G/kPFdUL8fJ7R3D6i5Mo974edR4TUOM1 Bo1et6DAfQnKPR9HvfdoVA+vu7d43OnI1d3vcjxr8b4HJX43o97vDmT2+qi9 wlTtoZ6xnD/3ic9d7kPG7oeh7XwO2lJXpNU5Qzc4ExlDjpqG9yX03Qvzqbkw 6pZAP/82lfubOY6MW+q3CKX+y5Hj8RhM7rfD7Ck5+8JbkZTqjOSj/lgrecXK Ol9sPjIPIXmB0M2bhMLg29DoPRb13DPZZzzK53ggZSAFSQdvUu+85uf8nu3Y nvfxfvazSvpjvynSP8fheByX49OOUv8Vyi7aRzvV+hqxm/bTD/rj0ONH4qfU bEOzkNTghrQKT2i65io9kkWX5OE6JWX4PBbH3sY/VnpSV+pLnak3dbecq5nu VFzIh5zIi9zIjxzJk1zJl5wrhfdICPyzrWEZmWfz1ukXEZFxCfPAvvPKjipG bnwlutJeQ4Q9FSV2d1SYvVFSthK71mzBqw844cQ053Prsx2vhWpe0fEZc9H4 cBQGbyyU3Dgfu2/JR991kofNa0Nxeov0XwBDRCW0saWIK4pBpE4PnS0e5fle KMvxQ2WONwrKfJGZUoqczdsRZ7BiXXU8wvI0MMdUSU7fjLD0cti2FcOe1ihx 0C05udQdkov3jSlA/5g8dI3JRsMiE3JaU6CPKsL2W63YMVpy9THcM0tykest MDhpYH1Wi71XSs0xKw4F01IxdKNV5fY7R1tQfk8RUksaUfuEDruneqt3XvNz fs92bM/7eD/7YX8GJy0GrrOocTgex+X4tIP20C7aRzv7xnBfZSs6xX76QX/o F/2jn/SXfq+tjkOs6EA9qAv1oU7Ui7pRP+pIPakr9aXO1Ju6U39yIA9yIZ9j wskxD2zheTXnIsWVfMmZvBV34c84YDwwLhgflxpT5+aFSVwyPs+P1/+Nn/P3 A7ukeWDfeVWGZKEp1IyD0QeRkxmJFo0zuhNdkF+4DmXrY/DmrbPw4r3nPWPh /CHmuXfOxQuS/2oWbEDuzHCU3GHC/rFS41wRhZ0zi9Em/Ko3alC5RQeteROq QzNRs86C6rRQtGa7YHuqJ7ozXGGpCESG1owW+S5FmwrfqmiE5CahZKsBNVs0 0GZtRk2IDrUxdlh9JZ7HZqP6AT3qJ+rQdXsmDnANyZQsJNTrURtUJbVFstQO jj2WD10fj+NXJKF6VhQaJkfhBJ+DjE5A5QMG7OW6eakvjl8ZI/3oEFXThPbp SciZsly985qf83u2Y3vex/vZT8PkaFQ/FTU8D2x4PBn3iIxfJ3Ykij20i/bR TtpLu2m/8kP8oV9a7WblJ/0NyUuCT3U0UkWHZtGDulAf6kS9qBv1UzqKntSV +lJn6k3dqT85kAe5kA85kddL59edfLYiXMmXnPML1yru5M84YDwwLhgflxpT fzwv7H+xZhmZB/bh+/iZkedCfv88sPPrlU9dJLf2+tP1yhl/Cz5dZcbeiAG8 XLgJv47nGRwFjrM3mLMGGvFlYA52RfbjaGEyvm4dh4PL16Nvph1fy+dngk3n 9vLi+SHveMjfoWd1ap/ez/0dufXXSy04sUCPHc9k42PJr9+M24aXjZ74F79C fLymEMa0rfDU+yEvNQHtHnZ848XnAZJbe+fhM+9inA424t1tSfhAuwKv2dxw MHMFlvesgjZZ/m5M70Lv/dvx8YJOfOXZoZ6FvBg8iMAnXsbbgX14dWEptm+K wqceffjMpQVf+Lbi/WcakeLZhxiJ087CW9U7r/k5v2c7tud9vJ/9sD/2y/45 DsfjuByfdizvXqXson20k/bSbtpPP+gP/aJ/uekJ8DT6it9hyn/q8LLRS+lC fagT9fp6ZM8Bf4vSk7pS35EzatR5K6I/OZAHuZAPOZHXl4E2xe/zc2fvFCi+ 5Lw3ol9xJ/8/Va8wfj51+TP1yrnneV0qPhmn58ftP8eP4+/+f8krv3IhfvlO F37z2/dQ7TfWsZ8x98j1lFzXW97dF2DAdRqavbm38QSYvBzn3p97xsCz1D3v hlX+nGp7BGl7Hft+Oc5ZeeiP15b33a/WbGh3TkFqqzPCqoKQ3O4Ozc4nkSz5 fOLAA4jvuwfm5xdALzm/QT1nuVvVB3aPR5DltBIFAXNg9bjd8SzD7XbofCcj vN8HawcXwbdiPbbumINtBxfBnrAEFqebUSN+1HuMQ6vXdSjxeharKhNhOjVF vfOan/N7tmN73hcm97Mfn8oN0u9ibNvhrcbheGpcGb/Afw6yFq9UdtE+2kl7 aTftpx+JA/crv+hfYqcnwmqCkdTmKtdTkTp0n5r79d09CM5pJzpST+pKfanz d7UnD3IhH3KqdZ+vuPG5iuLIdUfClXzJmbz/+ztx8M/w84eRWuWTDxBuj0R2 dPklzgMbeZVJbl2AquROVMUNQBNdhKj8OJRKXlxl9URHaSj6l6zAsR874dQU Vxyf6vh9/PEpTjg52QUvP7wEu6b5onUC10zkoftaE3bPakNDag9M0VWwSi5t iamEObIMWZFVSMkyILhvObLL3VFjCkR5rtQsNg9o8zZCE1ODoq310EXXI9SW jZDySMTrLYjd1oiK6A5YXQck/5b6YqwdgzKWY/6VUT1D6L2hECaNBcbiGlTM SkXto9FouyNb7W88OCoHnRONiF0tudA4C7oeiUH1fZwLJnXIeJ4lY8XO6/Qo fKwOcRl1aF3oo955zc/5PduxffV9Un88EotuGTN2TaLql/1zHI7HcTk+7aA9 tKt/eC9h2jswjvbnKT8s4k+5+EX/6OemikhsycmGLqpe6UA9qAv1oU7Vohd1 Wyr6UUfqSV2pb47oTL2pO/Unhx0yFrmQDzmRF7kpfpwDJjzJlXzJmbzJnfwZ B4wHxgXjw3AZscV4ZFwyPhmn58ftP/Lnwnlg5ZcxD2zkpUdVSCZ6IsrRHVqP ik1a5Gq2oFXjhh0pS1Ar8drktBavTXwKL90731Gr3M1a5Tm8ds8c7H58CYyT 16P0/jgMPBKAA5Irn5hajN7YElRIDl2z0YCysEwUpmxF2SYT6jcYYE2PRmO2 Yy+wNnn1pDtDXxCC+PQitK3ToyLUgK3WeATJ2HFZGkTbpb4Jz0HNvCocuiIO z18XiwPXJ0m9LTn9LVmovFePxptN2GaxQWdsxvExmarGOHZ1vGMfAO77NSoe Ns9QHLgxFvuuSUbtnTocvdFx7sqBG5Jw6opoNDyah/VZTUhasEa985qf83u2 Y3vex/vZj81rq/Tr6J/jcDyOy/FpB+2hXbSPdtJe2k376Qf9oV/0j37SX/pN /6kD9aAu1Ic6Ua/GbDelH3WknkpX0Zc6U2/qTv3JgTzIhXzIibzI7aWRmlN4 kiv5kvOO5CWKO/kzDhgPjAvGR/VlxNa388LK/1fnhV04D6wMnzv34LPvmQd2 fr3iON++Ap8vNeGLgO+rV8z4ZFUOdsc045NleXirZB7eCUnHWZ88lePy9/cf rNbiV/lLsK8iBnuqt+Kd8Gy8MseArtk6ddbhl8NntvMslpNLDDjhZFB/Hqlj 1Dkty6x41c2EvhkavL2kCB/GROGnpXPxpb8NCC7Ca1tt2JgYjrkxq9GUmokz 68rwL6reyVbnzp/xzcMZj0J8EmzDN+vS0VGVhuL2dRhMCkXZQqnl5+bipfkN eHdeP+DVjkrngyh49gj61puxLyQS3ywcUHp8Pq8PX3h24id+u5GRqUNA4pPq ndf8nN+zHdvv2xip7s+XfiqkP/bL/jlOw7xclMq4QzJ+idjRUZmG34hdtI92 0l5lt9iv/BB/mlIzMDduNTYkh+PVMIff9J86UA/q0jdTo3S64FyVQIe2x0VX 6ss/U2/qTv3JgTzIhXzI6Vf2JfhglVbxU7WK8CRX8iXnPeQt3Mn/4s/drCpu GD/nn2///c9YWlVcMj7/OeeFOf7i/wd+j5rta/G7fzmN3//Xf6Ip6C51HqRj PcR41HiMQaPPeOxyfRI9HrNhD7wLevc7YPG4R61Hd7wkd/e+B9ZFdyE+63FE HJuGtIEHkTF8xsp3z10ZqVuSdtyHTO7dO/AUYhv9ENm0Bll9bkgfmoqkwQcQ 13cnDCfnIdnkrtaBWGVcm89dyF64CPrFzqgPngSDp+M5g3XhbUizeGLzkWcQ Wu+B0CovhOyaisR9/tCFLULDwqvRvGQUGp2uRfPUe1FmDMLaQzHqndfqc/me 7die9/H+0GovbGlw9Jsq/XMcjsdx1fhiR/aCRcou2kc7aS/tpv08o57+6MSv qNZ1iGmW/GrgaWikfqH/361TRp6tUDfqRx2pJ3WlvtSZep/T3uMexYNcyIec Gn0d3NS6o+HzPcmVfMlZ8Rbu58fBD/1H7R7whz/g3//r98gfkrw52gprVNUl zwPjSxdRhKy0OpQs7JJ/E0thTi6HNqoCEbZklNi9UZLnhXZDGF6Y7ooXJi/B 0cmuODHFBS9M8cCJxzxw8lEXnHhiHpoei0LP1Ubsn9WIuowuta7CGCW5tOSr FrHNElUDq+TTdsnDV+fqkDo4Gba6OSg2B6u9favsHsjMj5AcvRJ5knsXb25F dmwttpozEF9mQty67dK/GXukZtgxIU/VKwPjbFIL8HxEqQOuNaJscSFSSktQ P6sX7bclo256FOqnSQ55XyaGrrPB9nSWxKwOO29KQM9E1jl5qn5wnF/PtfMG mGfmImlDhHrnNT/vG+eoM9ie9+28KRF66cf2VJbqt1n6r5NxOB7H5fipYke5 2EO7aF+/Ov9FaiepVWg//aA/9Cuu1KT8zI6tUX7Tf+qQmR+udKE+1Il6UbdV oh91pJ7UVenLelX0pu7UnxzIo1G4kI/iJLwUt8ddFEfyJFfyJWfyJnfyZxww HhgXjA/GyaXGFuORccn4ZJwyXhm3/+i1LBfsBxZ6efPA1O/BN2ilbpa69KkK tM/SoTZC8t4QA2zpPKvRDa1aF1hyUvC8aP3aHbMl152H1+6cg5MPLUDTEz7o n+qGTsmFux8Mx+4bN2K/bxj6YqpRLrkzzz+vX2+EOT1KcmyJJflz7UY9zInJ aNB6oGP4HMjWNC/0aZZAaw/HtrRyNK3XoXNZDuwRZmzMi0ZkXRQ0q8vUXl0n r47Dfs65utZRH5zg2vJRUo9cmYRijxysqSyDbfF2bB+Tiv5b0nDwukQcvz5O nfleP5V7DkdKnZ6J+puzcPIq7lksfVwp76O5Pj8O6XOtCFqapN55zc/V99KO 7Xmfuv+JCNUf+2X/HIfjcVyOTzuK3XOUXbSPdqr6ifuWif0n1Ty2eOVXhPhH P+kv/ab/1EFr36Z0oT7UiXo1aD2VftSRelJX6kudqTd1p/7kQB5dwoV8yIm8 yI38FEfhSa7kS87kTe7kzzhgPDAuGB+Mk8uJLzUvLPR/b7+wP9oPzPnPzQM7 73feLtvxvneTmguk9pC6WF4qufTZ1WYcimvAx26FeH+1AT/NX4RPA+04HZCL N9PXyLUz3glNxH84l6IvX4OG5iT824pivOKkRcezejVH6WygYx+v/c/o8PZ5 zwBGXsyvvw62ij1mDD6rwWsLi/FJ3FacKp6J/c+ZcWCmHofm5qEuUoM1xcHY VrAC++MKcXZFFX7Dc0z8jTgdbHacx+JrwceBdSgqMOMXmYXok+vedRJD8ZvQ GBSJNh8jfuZbi9jpb8C+NB2HV5birFsb3lpRjp/FpuLnUi/X7DHh3VD5/9G2 aeqd1/yc37PdWbftOLSqBPlyf+z0n6n+2nxMqn+Ow/E4LsenHbSHdtE+ZafY S7tp//64AkQULFdzZGrFv4PiJ/3dP9es/KcO1IO6vO9tUjp9FnChftSTulJf 6nx2eO4d9ScH8iAX8iEn8iI38iNH8iRX8iVn8ib3L77n+QrjhXHD+GEc/SXx puaFOf+z7hfm+Hv/7//1Fd74YFD9+VfvdaHS5wbUup+/vn6Cem/1uA7lno8h zcMXJdxz2Gk8DAsnSq4zUeoHeZ8/AZol92NVmz9W7ngAawYfwzaeuzJwH1Ll OpVzonruRXLv/SoXT+WzA65xUfOeOEdsMrL7FiOpYx0sPauR3e+E9IFpSOy/ C+knnsJmuy+yne6F1W0i8nymofChp9DpdT+q/G5Crp/ULItvhXbtMwjb64mN QzMRVeiDkM75WLXjHmw4sgy5aXORs/YBNOd5oLglHtqhSAQm+qt3XvNzfs92 bM/7eH+09MP+2C/75zgcj+Ny/MKHZil7aBfto520V9k9MB26/iUwiz/JnevF Pydk7p6s/E1SdYpDB1XTiS7UhzpRL+pG/agj9VzZ5qf0pc7Zw7pTf3IgD3Ih H3I6n5vjvMjxiiv58oe8yf38OPih//zP8O8SBl8dwqakRORE11zWPDB9ZAny ksrRsmEIbdcYccqrHbaMehjCi6CVXDiO53jneaOpOBDb4yJw+MdOOP64G154 2AUvP+qKk1OWqLXaJ6YtwIBct8xqQ1lar+S7BZI7D4+hXiUwSu5qjClHbngN ooy5yCsMhrlxDvS9j6tcucHsjYJSN8RprIiTXHmL1YLIhCYkbGlGelo3YgNM SHbXoOlOE3ZfJ7n/WCsGx+dK/m9XtcTgOCvaxtmhKytE1bIG9Fybg76xOY5n HlNiUSO5V+Pd6Ujxk7zgqS3YNz5b7uUZkZZz+2j1jrdg5xgddszxVe+8/nbf M4tqz/t4f4qfXvXHftk/x+F4HLdCxqcdtId2Kfv4TEjspd27xP6mO81IcdOI X2akiX/0k/7Sb/pPHQpKXZUu1Ic6Ua+8wqWINOQqHakndaW++pFnGqI79ScH 8iAX8iEn8vqJXL/wiIviSJ7kSr7kTN7kTv6MA8YD44LxwThhvFzOvDDGJ+OU 8Xp+/P4jfs7NA/vlXzcPrGpjNprCpVZd1og9kpu/sbgUjbG5qF6vRfkmM+zx iWhPc0NPrh8sKak4ecccvHrfXPRNkdx3hjcOPrwYP580G3tmOaHpUQ8cfKAc zVk5sFmDpG/HuYLlXF+fvBUl4RmoDpEce4PUzykJKu9m/t0uOXIHx0h2xXaN G5Ky9AjIKUJK4VqkmMJgzAiDVZuPjQFWhLlnoPfWVLwseT737jo4vEaFzzaO XhOn5mFpK+woX1mJ7gnpaLgtW83farglG92TMrD32mRUOG9D6f2Z2DUpDYeu TsDO8alomaRF/SQdKu43omN0OrKfWqXeec3P+T3bHZJ6g/fx/grncNUf+2X/ HKdRxuO45SsqlB20h3bRPtpJe2k37e+5LQVhHhnY6G9V/tFP+ku/6T912K5x VbpQH4dOw/WK6EcdqSd1LU7ZqnSm3tSd+pMDeZAL+ZATeZEb+ZEjeZIr+ZIz eZM7+TMOGA+MC8ZHU7hBxctfNS/sl//geWHn9gN737EfmOtfMg/swtcnkqd/ xt/5B1y8XuHv8L9easJPN1TivRAbvvaw492YKPw69zn8Qu+LNzNWOdbT+0j9 EpgjbVPxas4a7EnqwrthxXhjidTmM3Uqv2ZffbN1584wVM8H5HU2yKLOj2ee zesXXQyofDQdzffnYmj1Why2z8CvZdyzQWb8R4ANn64tRWmGDqHFXjDnbsCJ uAp8vqYc3/jrcUbqgM8CrfhG+tyRakdXkQHPP7kDR5/pxm/9WvDTtYXYH5KA xvB1SFylQZhfKD6KjcLh3K14NzwBr8Vm4Z2ARhzYdhwferZKXTtDvfOan/N7 tjsk7XnfNrk/Sfpp3LZO9cv+OQ7H47gcn3bQHtpF+2gn7aXdZtsGbOWZAOLP p2vL8J/iH/2kv/Sb/lMH6kFdqM+XSx16UbcvhnWlnqeH9eU19abu1J8cyOMV 22rFh5zODu/fRn6/MPgqnuRKvuRM3uT+ecD31CsSL4wbFT+XEG9qXpjryH5h 718Qxz/0nz/84X/U/OlXjpbjo09fwDufvYRy7xvV85Rq7zGoced5jTegSHJe U9DDKF//AGqDnoBpQwiiLBHIKfZHZUkQ6koDUFvohfqKddAfTIJm/3LkH1sN y8lApB96GjG7JiPq0DPQHpuJjEOPIHXwLsTv4PpzqV367kNC3wNq397EofuR NfQkMnYEwta3FkZ51/cuQWaf5Pgnp2NDVRAMTvcjx/tOFM18CvWzp6LVl3sq j4XNbxLMLtJXrS9Cdk/FprZFiKlfg6Q9a7HVvhBlxWtgP+iO1IMzoOuei4Kj y7HhRA0K5Z3X/Jzfsx3b877YutXY3LZQ9cd+2T/H4Xhq3NlTlB20h3bRPtpJ e2k37c/pXYt0edcOzVD+0U/6S7/pP3WgHtSF+lAn6kXdqB91pJ7UlfpSZ+pN 3al/pHAwCg9yIR9yKlJ7T9+g+JEjeZIr+ZIzeatz3/9JnheOzKf55ScfIKYo BrqYChgveQ6YvCSvzYothC2yDz2TijB4dSZaPHfCkNYkeWkRTNHFyJacOFNj QU6J1Cwl6/FC4Fa88JATTk5zwQuTnXHycebCS+Sz59DtvRJpOXUwRPzxWgd9 DOuVYrGzGKZt1dDnJKJaapPynFWw17hh2+A8bC3bgiRbKtbXbcNGqxHJiSUq D89PqEGPSyf6rzaiZKoJMcFZUrtq0XGzAUM3OPYA65+Qg36pBXZdUwDb0gLY C7sxOKZQ6gzu42VVZya23yY50oPxqFq0BXnLtmIvz6cf/+2+Zuo11oLeicP7 GfN97Lf1CtuxPe+zLQtDxeJQ1R/75f5bHIfjcdx8GZ927LomX9lF+9ReZWIv 7ab99KN0ihH9Ug/0in/2hFrlL/2m/9SBelAX6kOdqBd1o37UkXpSV/3FalXh QB7kQj7kRF6KG/kJR/IkV2uJj+JM3uRO/owDxgPjgvHBOGG8GKIuPdYYn4xT xusv/4Hzwi48F/KvmAcWIvn5Fg3qN9bg4Fgtjl+xDUOLmlAdnY/qjVrUSo5Z ucGC4rg0NGqcUVW4BnVBkeh+1AW9093xyr1zHb+nv3ceXrptNqo9N6E0S2qd VRLTSTGwW9bI/ZL7bs6CxhqCqlDpMyQbNRtMqE4NxXbdYrSne6I5JQBVukBk G9fBUOyHmI4F2FgTCp9iK8q3cS+wHByYW4ITV8SgdLIGa5bqkT4/HXtvjMcL V8SdO9P90A0Jao+u4oBsaEta8dJV6Th+TYyqEfpvTkPTrVrUTDKiYHo6Nrtl oOlG8f9h+fsjtfr2OzKx58ZktUbl4KgYaOevVu+85uf8nu3Yvlnu2yL35z+R ofpjv+yf43A8jqstaVF2qD3Dbhhehy920t69o+LF/gysXmpA2eRMaROj/KOf 9Jd+03/qQD2oC/WhTtSLulE/6kg9qSv1pc7Um7pTf3IgjyrhQj7kRF7k1if8 uoQjeZIr+RbHpine5E7+jAPGA+OC8VG/sVbFS/WfOC/yz84Ly/zHzgsbmQf2 a84Dcy9X+zD9+Xlg36lXXNvxoX/pxc9gYU0RZFX59dFN9Xh+UxvOLNfi56nr 8UbdQ3hTtxRfupU71r+o9d1WfLzchOMVzvh8QzaGYrvwZlwVfuGpx+CTWXjZ 2Ygjc3SSBztybc5bOiu59wc+Zry4xIB9z+ow8Gw2Ds/V420vM47P02LPk3Z8 lBaCd8vm4yOfIsnJuT5cj98GF+DFCPn/qG0zUuzPoTYjBS/EbsfpteX4KlDG 8DHgV2uLUNqowSH/Whx+shFn3dtxenEXvnbqxUfOO/F6yjZsik5CX2Arvvau x/tOg/jmuQ68tmEPXl5zQPQpR1XMLPXOa37O79mO7Xkf72c/7I/9sn+Ow/E4 LsenHbSHdtE+2kl7abcxd7Pyg/7QL/pHP5W/4veeGXalA/WgLtSHOlEv6kb9 fjOsJ3WlvtSZelN36k8O5EEuH4+c50lewo38yJE8yZV8yZm8VV0V9D3zBCVe GDeMn0uJt89G9guTeP31P9m8sJG1nq9/8jw++O3P8danb8LqPRGFzmNhWf4o 0ldOQaYpCCbrfAR0B6D82HIUDE2XvHs6IvaEIG9fEIxHZ0J7cBoyj01H/s5l qAm8H83B96F92b3yuhv1ARORETEV8UXLUVPhL3nFE1jTE4SCU4FIkTog7shT yDz8mOTud6nz2xP77kaq5PTpg07I3hEM64AvdH1eMHYuRtrx+chqXwmzx70o XPwQqqfPRpuv1A+uXCc/DqVuo6HJ9saqvbOQvc8DMcl6GALdYV40CUWLR6Ep cRpsQ5uQtdsd1S94Y+DnSaiS96xd7upzfs92bG/wd0Os3M9+2B/7Zf8ch+O1 yrhVMn6R2EF7aFfa8XnKTtpLu7PE/gzxg/4kiV/0j37SX/pN/6kD9aAu1Ic6 US/qRv2oI/WkrtSXOlNv6k79I/ZuEh7TFBfyISfyIjfyI0fyJFfyJWfyPp// D/nHMQ/sf/C7//q9aGBGTKRVzQW69HlgZZJ3FqIitQt1jzegZ5QeO0cbYHqi ESlx1TCP/L5ecmFrRDXS0kphyQ1Da2koBuYG4/gj83B02mLJe53xkwcXo3Px WpQUh0i+EAVtRC2MsY56h7/rV3PCwiuQJZ9nJJRBI3nrNqMWFl0c4nO0iEqt RWKODpv7fJDavBjl+R7Qm6UOi6yGKbIQWcn1aJ3Xh13XOdaJdI43wbhAg7jl 6SieLv/m3mjG4I2cE2ZS57y33WmHvqQWTdNasGd0ntQPjucsA5yHNVryitEW 6LwyUfmY1Du8b7z5gnrl/PMiz69X2I7jVD1qQLbcPyj9sD/2y/45DsfjuByf dtAe2sX7aGfhdAPilqXDOD8THeONGBjNZy0m5R/9pL/0m/5TB+pBXagPdaJe 1I36UUfqSV2pL3Wm3kp30Z8cyINcyIecyIvcyI8cyZNcU4UvOZM3uZM/44Dx wLhgfDBOGC+Mm0tdy+LYL6xKxSvj9ndqXtj//N3nhX27H9hfMw9M7gnRoCuq En0P5OHglTE4cWUsah7OR1GoI2etUr8bz0bjOh1s8Vpo7SFIq05A3byV+MXE WXjxnvkqB3791mfQPysYKU0xKE7ejIoQM2rXG1EoObNNuxn2qDRUxEeifG0e ykP1qJKc2JSYiKqkjcjM3YgMQyjSKvxgKvRAiZXPWJxRk7gZ5m3FiEouQUWM DQMzy3Hkimg8L/n/PqlTMualY82yLBRNScepqxJw6ooEtb8wz0rcPT4FSTUV 6Hg8H8fEr8PXDa8ruSoOJ0bFoVnqjoigNDQ/lIQjVyXh+A1xan/io9dynXyi 1EGO81f4zmt+zu/Zju1bHkx03C/9sD/2q+Z5cRwZj+NyfNpBe2gX7Tt5ZTwK pmZg7TItMuelKT/oD/2if/ST/tJv+k8dqAd1oT7UiXpRN6Wf6Eg9qSv1pc7U m7pT/wr1XGuz4kI+5ERe5EZ+5Eie5Eq+5Fw1zJ38GQeMB8YF42PHA3Z0S7xU q73CLj3mzs0La/3HzAs7Nw/s5Xa8vjLpkuaBfXdO2IdejTgd7Phd/R/VK1yv 7WPF22ur0WE14bUyZ/w6eis+WlqAn9tc8evVepzlWozh/PcznxJ8ErccH6xN x9eSF78smu5P6sBby6xo+XE6XnQ24TfLrXjLw4QTi/TYJbn3TsnBjy/Q45ce jt/nfyNtvwy2qjUaL7rq0Pt4Ll6P3II389zxflCu5PW5OC1jfeNrwtk1leiN r4VN7wtb1mw0a/Q4FdeD9zYU4rdid2++Bi2puTh1fzu+8GnDp67N+GRJL17f ZMYb8Wk46bYbMU8cx2n/dpxxlprGowkHQ4/g/aU78JFbDWpiZqp3XvNzfs92 n0t73sf72Q/7Y7/sn+NwPI7L8WkH7aFdtM+mmQ2bzlfZTfvpB/2hX/SPftLf 3sm5yv/fDOvxzfCaFepEvagb9aOO1JO6Ul/qTL2pO/UnB/IgF/IhJ/IiN/Ij R/IkV/Jtt5qlxqpS3D+/yDmRjBPGi4qbv3Qu2EXmhTFuGb/nx/MP+Ye/p+D/ I8/+2wfoe3+XOks6fS3XaXgjrD0Y8btcsGrPPGw5/gwS99+D+L47Ecfz6Hfc J/XE/TD3LES05MdpvQ/AemAOCrdMR/2ia1EneX2N62hUu92k1no3OY9C8+Jr UbpkFEzOtyPDdwqKAh5BzLonkVW4AuaCZxGxaxnMh+ch9uBMZBx4GPEDk5Dd PwWJPd4w97sja2ghsjtcYDy0FIa+rUhY9xTKp05Bg+cUNHqOQoP7OLS4j0Le 0juRfSAMJVHPwrJ4MjYv3YZij/ugD7wTzS43oMHPA/22IJTkLRYfH0SJfbG6 bvD1UN+zHdtvWhqu7mc/7I/9sn+Oo8bznKrGpx20xyB20T7aSXsTe7yU/fSD /tAv+qf8FH/pN/2nDtSDulAf6kS91Bp50Y86Uk/qSn2pM/Wm7tSfHMiDXMiH nMiL3MiPHMmTXMmXnMnb8Wzthz8X7G8zD6wMuohC6FMb0bygHTuv496/kpdL bt1/Ww4qouuQJfmqKaYMpqgKaVuDnG31yJaxkvJj0WcOx/NTF6s12ycenYf2 ecEoyYlGq9UfGSUboE2Q3DSsCplRNeqsldT4UkRZsmDISkZ6wQbYSoOxWVOC uEw7NJKX5xUGoTLPG7XmQNjrF8LSOxW6Ck/JofOhjyhFjfw72TepAP2jcjEw jufUM8c3o+02M7RuGiQHpKHy4SwMXm9FP9ffX22EPbJE/p/fhN4rpCbgWvrx udh5cy4GJ+SoM1jq7zUiJTADXWM5z+svq1fYju2T5T7ev1P6YX/sl/1zHI7H cTk+7aA9A2JX5cPZSPZPg0bs3X6bSdk/pOaJ2ZVf9I9+0l/6Tf+pA/WgLtSH OlEv6kb9qCP1pK7UlzpTb+pO/cmBPMiFfMiJvMiN/MiRPMmVfMmZvMmd/BkH jAfGBeODccJ4Ydwwfi55/f0/eF7Y32YemB6VGzSojLJj56xSnLgiCoe5HkRy 66Ojk9G1yYaKzdmo3ahDw+YsmOJsSEgthS42DwXGzSixpeDlHy/Eq3c9h1fu mI3BqX5oywhBkT4AObZVqNoi924wqv12c+NSkZW7DOl561AdFQO7OQCF5c9J rboF6bYNyMn1Q7nZDS0aV3SneKAz1RMdqZ5qLX5FZIrUuhapZdtx8FYNjlzJ NfaO+VQvXRGHgZuTEeuqxRZ/id0HEiT3F/vVefOxyIvKR/mWasm1ox3PN3iG 5XXx6LpNaurbNNg9MQZFiyNw8FrH/sYj50geuebC8+15PXIuJNsdvCYehXIf 72c/7I/9qmc8N3CfsWipIaphj85XdtAe2kX7aCftHRS7aT/9oD/0i/7RT/pL v+k/daAe1IX6UCfqRd2oH3WkntSV+lJn6k3dqT85kAe5kA85kRe5kV+pcCRP ciVfciZvcid/xgHjgXHB+GCcMF4YN4yfS61Z/qHzws7tB/Ye3lDzwLoveR7Y BfuEuXbg44Di4Wcsw79PH95/mHtGvbcmC2/bXdBcJjVxRJXk3zk4423Hr0Iy 8GbxfHwW7Fj/omobz3y8ol+NVw2r8Y1nAf5VcuN3QotxJKMVpYuK0PKjNAw+ lYX9z+lx0smAd71MOBPseEbAfXnPDM8T+3z4nfOe3vbRo3+yFYfXxeFnZn/8 SnLsL33y1DqQM35G/Ivc9/q2NtRoTVLvzpCYccGOhFrJ1XtxTFOKoopkHJjS jK9cG/Hxon68tlny+qQkfODUjX/1a0He7N2wzD6OM8s68fzq/Ti29SC+cm7D +x61qI2aqd55zc/5PduxPe/j/eyH/bFf9s9xOF5RZbIan3bQHtpF+2gn7aXd tJ9+0B/69TOLv/KT/r7trVf+n68H9flqWC/qRv2oI/WkrtSXOlNv6k79yYE8 yIV8yIm8yI38yJE8yZV8yZm8yZ38R/ZHPrcvmMQJ4+XTP7eP8Z+dF9at4pdx fH5c/2B/zvv7XrezHHFloQg/6IqVh+Zi5d5pWD40TfLeaYja+2PJiX+MhKFH kLTzIaTwNfCAOitEs2MmcvduRo52OTok1+aeYg2Sazd4fHvWeg3XfHtPkDxf cn2fMSjzGQez+yRYnW5HztwJao26yf9xZC2fjAz5+5Ja6YSUA0FIPvQEMo9O Q+bgXKR0e8E88CTSdsyAZrc/th7UIG9LONonP4bWQI41Gg1zr0Jd0nMozveG af5YFHregQxnT4TP80Sl871o8JqGHucZaJh/BWqlBqjsn6veea0+95oq7e6R 9h5Ic/VS97Mf9sd+2T/H4Xjtkx9V49MO2pMmOtA+2kl7aTftpx/0h37RP/qp zsIUv+k/daAe1IX6UKea885+pI4N6tz6MUpf6ky9qbs6q0U4kAe5kA85kRe5 kR85kie5ki85X4z/D/Hn/P3AYjkPLPry5oHpuGYlpQoVKwbQOsriOFdwvAU9 Nxmw745C9KUOQRNdiFz5tyZnSwXMkZVqjYRJctissEqkWAuRF5OBYw8+hT2z vNFqCkVDkQtKCjxQXLgGSakVSM/JQJYuQZ0LWZIbhKICicnixbDblyKuei3M RSulvReq7O6ozPFBeY4vynJ9UW0JRm6h1KZ9UxDXuAwZkdUwb+pG38QCDI2X 3H6c1Btj8tA7wabOouc+xZWPZEkNkY4sF9YCZuy90oqGR80w2lrRMz5f6gwD eseZvn1NYL1ghXlBJszPZWDX9ZZza+q/r15Ra/GlHdtbFmZK7m5V/ZzfL8fh eAYZl+PTDtZU2S6ZSAlIR5XYSXtpN+2nH8of7k8m/tFP+ku/6T91oB7UhfpQ J+pF3agfdaSe1JX6UmfqTd2pPzkUF6xRXBqKnBUn8iI38iNH8jQNry0iZ/Im d/JnHDAeGBeMD8YJ44Vxw/jRXcZaFjUvTOKW8fv33C/sbzUPrJJrViLN6PBt wK6rJV9mrn6d5OJXx+L5cVociWxC1cZ0lEWaJI8thiZFcv8wPRpDZLw1BtiM RsQnmPHSxCdx9CFX7EjeiIHMRbCU+MFcKvlxaCZKkqJQHheBPPn/f23J46ir vQ25DQ+irPgZaGqcUGHwQZPGA12pjrxc7ROW4YG2dL6kZslwQVnGOtSKjwWb 6lB7vw37xzqekzjWgbAu4fOJONQ9kIhNARokuGVKrZ2MV+WznvuSkVTcJnl2 Og5dHSc1RRy6J2Wi5Q4Njt4gOeUVSaiZEYm6aRE4yTlb1/+ZekW+Z7t6aV8z M1Ltj8x+2B/7Zf8ch+NxXI5POwZvTkGCawY2+2uUnbT32FUO+w8NP/ehX/RP +Sn+0m/6Tx2UHqIL9aFO1Iu6UT/qSD2pK/WlztS7PC5c6U8O5EEu5ENO5EVu 5EeO5Emu5EvO5E3u5M84YDwwLhgfjBPGC+OG8VN5GWtZ/lHzwhzzwH6Pd3Zw HliZOo/wUueBXfBy2Y6PvJpxeqljHfUXwSZ13uDpwDy8mb4aP8tfgvc2J+Ds 8hLsCe/Eq5sq8dugbHwpue/bSSF4PXMNvhA7Pg824suAPHwm+e8Xicslzy/C K256HHtWi445Bujcy9G0uR7tT+nxrqcOv1uRo/av+uK8GuVi62e+krz6U8mR +2fIv+keGvzUFIC3tybjrOThnw/vl/wV5y6tK8XOpH60xUShOeIetMd542R0 q+RHOqSuacK7Hvvx0zAzXo+Lw2cLO/G5Sxu+WdKAo377EPzYT3BoxQG8sn4v PvRsF03b8cFwvcJ3XvPzVzbslXb7sXTyT9R9vJ/9sD/2y/45DscrtuvU+LSD 9tAu2kc7lb3Dz6/ox9tbk/C6+LVL/KOfnwaYlN8XWz8yUruoeVmiH3WkntSV +lJn6k3dqT85kAe5kA85kRe5kR85kie5ku+Xwpm8yZ38GQeMhy+G6xzGCePl s8t5tnLBvLBuFb+MY8bzD3VemJoHNPz3/MOvf422Ng1Kj22CsXEBInpnI3Ho Psl9H8TWvVOwevdMbOyfhnX9T2DlLvnzvmmI2DsZ2/ofx7Y9DyHz+BNIsHth +5Kn0e3yNFrcJ6LJ4wbUuY1R+wN/e+b6ONTJdYN83uR+E+olRy/0vw0m33th 4l5jLpPkJfXL/AnIcroX5oBHkRq9CJml7ojfJfnIcXek7VuNtIHZ0PXdhZSh KSg6GgHD6g1S7z6BzvnSf/RzyD4yH5GV01AUeDdsAeOhnTsVQU6hKH/mKTQ6 T0OD90TUS43SHHQrDh3ZpN55zc/5fYW0C168Rd2XK/ezH/bHftk/xyld9KQa t+houLKD9qQNzlb20U7aS7tpP/2gP/SL/tFP+ku/6T91oB7Upe47elE/6kg9 qSv1pc7UO0N0p/7kQB7kQj7kRF7kRn7kSJ7hwtUgfMmZvMndEQw/zHlhI/uB /U7tB2ZC9OXOA4sqRXZcMarD+rBrguTLYwzfPj+QP3dPKoIlbh9MEaXIDauC JaYc+tgSxzqJKM4TkldoOWyJvagIKkWbNRxZjWuQkZECjSUZcan5KM5dg9Ki ADTk+qDR5o6KAndY7GuQmGVCnMmMomI/VFu9UMEaxeanzkAceZXJPVWWAFTl BiKjZT62bk9Hl1c7eq8yYWhivtQFtFVy57F2DI2zYccExxytfnnZn9QjYVkK LPMz0Xq9EeWxtaiaVY6BGwwXrJvnq3+sGZ03GxC/PAntE03qWs0Lu0i9ws/5 fYe0i1+erO7j9fn9sX+Ow/HKZFyOb5F6KH55Kgqe0KFf8nzaSXuV3WI//aA/ yi/xj35u3Z6h/Kb/1IF6XKCP6EXdqB91pJ7UlfpSZ+pN3ak/OcSl5Ssu5ENO 5EVu5EeO5Knm7HHNinAmb3Inf8YB42HHeTHCeGHcMH4YR5e6lmVkXhjjl3H8 u7/TfmF/k/3AuGZF7u1ZU4MT16dJPh6r8nGVk0teenS0BrVhbchKsCA+vQT2 KAsaNmlRM3z+Rs1mHRpXZcOS1oKSZUXYn7gB5VJflkdJjpwRh9iEfLRpfVBU OAcNBVNRWvMAmqrvgc3uBk1uMDKN0ehICURnqmPt+EiNsv07r3Z5NWa4ozjV guNzJQe8Lhb1P9JLHZyi9tlynCPveHGu1QmpAezT07FhRQay56XgwNUxsCdV oX6GDS9eEYWu2zWqtjh2nWP/YtYh+6UesXuGqX2Ojw6vh79YvcJnJ/ye7ewe Yeo+9Tn3L5b+2C/75zgcj+Ny/Kx5qVgn9uRPSxObHXaebzf9oD/0i/7RT/pL v9svoslI7ULdlH6iI/WkrtSXOlNv6k79yYE8yIV8yIm8yI38yJE8FVfhS87k Te7kzzhgPDAuRmKE8cK4Yfwwji5nLcvfe7+wb+eBbcfraj+wHZc1D+y7z1g+ c2nHR94NjhzYqwjvbk3AG3nOeCt97fB6+nzJVQ04s96KwcgenNxWj8/XSFvf QryX44TPE7bgS1+75M1mnPLIgF23CH3ztTgy14A3vU142cmA5+dq8UFUJQbj W1DsWoSfe+glTzZL/99zVuV5+flZPsNZZsbhZ03omWfCKzZPvBMfLnl3EU4H mfCZv2Ndy9mlBrwR14ShxGb0hXqgN2gqmowrsDm9HF2Z3RJHuTi66gh+GTqA D9w78euAHhzc+gLqvPahcMEu/Kdo8Ilzq9QgF9YrvObn/J7t6r33qft4P/th f+y3qSoXXZpuNR7H7Q2cquygPbSL9tFO2ku7aT/9oD+94hf9o5/092L124V7 qlmVftSRelJX6kudqTd1p/7kYNctVlzIh5zIi9zIjxzJczCqR/ElZ/Imd/Jn HDAeGBccl3HCeLncZysXzgvboeKY8Xx+fP9QfkZy03/DH7DnQC6MgXcgJfsZ JO97FNkDUxC53QdZHYsQe3AWNux8Aut6HsN6yX839k3Fhp4p2NgzHeu7p2Pt jseRdNgdMdkeyHK/E5X+41HsOx0dXovQ5Pk42r2lBnC9QWqB4WcsHo6z1+vc x6LefQwaJQ9vljy91nc88v1uh9lb6hZ3qVM874XV4y6YWbssmgg9zzLxehjp 4c8ircoHubviEX98M5IPyfi7bkL8UV+YrBEYit+AnD1xSO2aicqjGnS63Y0W z9uQ47wA6QHLELV6Par8uTZfagMXqVcCb8PJk1r1zmt+XuU3FtGr1iEjYCms LgvU/eyH/bFf9j8Uvx5mayTiZFyOn3L4ccSf2ALb7nhlH+2kvbSb9tMP5Y/n sH/iJ/2l3/SfOtSrfQ3GDu8fPVyriG7UjzpST+pKfakz9Y4W3ak/OZAHuSg+ wom8yI38yDGrc5Himj04RXEmb3Inf8bB+XHxQ/n5W80DM0QXwp7ch4qHarBj lA69E4afH7BeGW9Et+TRWv82WOPKYIosd9Qo4ZVqLURmQik0seWI0GfDYE6G Ib8ZtsZVSClYhxiDGelRNdAlFKMi3xO1Vk+U5SyDMScKidl5iE+tRJLcV14g +bbN+4/qlO/WLMzJy3P8kV4bD52PHd13JWNgdLGaX8Uz5HtutmDXzXnYKa++ W8wYmMA9w6SmGGeEfl4mshalI9HfDM2yGuy5wojeW75TX7BuuMGC3JnZ0C/R YnD4eclFn6/I5/ye7die9517HjPSn/TPcTheYoAZWhmfdtAe2kX7aCft3XVz rrK/h3UQ54uJX/SPftJf+q1que/UKn9Ut4iO1JO6Ul/qTL2pe53oTw66hCLF hXxShRN5kRv5kSN5kiv5krNa/yLcyZ9xwHhgXPSe082i4obxwzgyRP/fmxd2 wbmQ4Zc/D6x6kwZNETXousuKw1dGq3k+h1QeGo9T18aINhqEra+DLjUHddK+ YQPXxxtRsdGCsq06lIXy7PVYNKaFIb6wE7klISjKWIacNMnxU1KwqTEJ+Q2P ozHvCVQbXWDO80e2ZQMKNuXClpCM8trHUJv3DLYn+WO75OXfzcnP1St83pLp jIr0OHQ/XIqTUgscHJeMinsMav+tY9fG4+CNiTh8A9fHJ6jf/b90RSz2XheH 9HnpiFmUgcilRmSuKse+G1LQeE8Wjl4/fBbL8PwunvfY+EgMKp6JxrHh8x4v Wq9ITcLvK56OQuPDMY7zJofnj6l9yeQ+9s9xMleXy7gmxC6UGn1emrLnRbGL 9tFOZa/YTfvpB/2hX/Sv++Ey5S/9pv/fp43STfSjjtSTulJfnehMvak79ScH 8iAX8iEn8iI38iNH8iRX8iVn8iZ38mccMB4YF4wPxomaNyhxw/hhHDGeLnte WPjf4RzJP5oHxv3A/sqcUV6furXhNGuehf2Sf9dK34F4M8cdH6zRDZ9Pb1br HU5zrpifGWeW5+DQtjb0xPbj2LZGHNpaitpMb3TMN+GQ5MpH5+bgjW1++Coo Hb/xy8G/L5e6fJ4Or7ka8G/cw2ulFc/Lvyfa4FocD7Thd8u4H7FZjXM2UPLp QBO+DHL8WX3mx/NBjPhK8u9/k1z6lfk6dE834Ze5c3AmNQS/8S/Eb1YZ8aW8 f+pXgk/k3+XnoypwMrUVA7osJBQ+ifWGJ3E0cwU+dD2ENzfvxJHV+/FT3514 MXgffrpiJ772bkH8U4dwzK0bX/NZlUvHBfUKr/k5v2c7tud96n5fR3/s90OX QziqWYH1+ieRUPCkGv9kSquyh3bRvi+H7aXdX6RuEj9mK3/oF/2jn/SXfp/T JMihy4gm1Iu6UT/qSD2pK/WlztSbulN/ciAPciEfciIvciM/cjwU3qa4ki85 q/VIMo46X0figPHAuGB8ME4YL59e4t5gF58X1qri+Ic4L2wkJz3z77+CJccF xc9di7qkWTAcmYvEvvuQMvgjxByYivB6D4TZAxHSGYjoQR9s6XoaIX0zETY0 C+t7H0bI4I+xccgT1uj5MC+4Gbnud0hefidyPG5Frtd9KPeaj0pPJ1QHPIj6 gDGo8R6LBu5T5Skvdz4vkJqBZxl6SJ7udqPk69ehwutG2HwmSK4/CUa322Dy kBrG714UBvwIBb4/gs3tXmiW/AhZfo8hI3YjsuyJsBzdipRTUi+d1MDYFwVz 13Tods+GoT8WQ7PuxcD0W1Ed+BhKfCdi3dJwGAKfRoOMw/qkIWASOo5a1Lu6 ls/5/dqlEao97+uX+9mPUfpjv+yf43C8lFOeanytPcFhj9hF+2gn7aXdtJ9+ 0B/6Rf/oJ/2l3/SfOlCPJneHPtSJelE36kcdqSd1pb7UWektulN/ciAPciEf ciIvciM/cgxv8FBcyZecyZvcyZ9xwHg4Pz7+r/+cPw8spij6suaBGYfXrBSk NqP/2RYMXJ8tebhFzWPq4/nvkovuGpeHoatysHtRM7JSG6GNLUKK5LLx1gwY shORUhyCwlw/5FcEY3fWVhyYvBgDiWFoLfJFMffNLvDH1upQZOgyYbKvR3rj SugNKdBkp8JWuBrVeZzT5D+cc/9xLl4hr0qVh/tJPh6AsrzFqDSUoHdSBVoe 3YjqBxLRwbUrN5qx7xo9dnJtypU2dF9ZgJbrc9A0yYaBu+X/cbfaYJtrwYbo dKyPyEbZQ1lq/ta5ZygjdQbrhVEWJPtnouohqUNGUY8L6xVe83N+z3Zs3zfe fMEafPbL/jkOxwuJTkOujE87+sUe2kX7aOfAlTnKbtpPP+gP/aJ/9JP+0m/6 Tx0celysZnHoRz2pK/WlztQ7vWElzKI/OWyt3qq4kA859QsvciM/ciRPciVf ciZvcid/xgHjYZc6o8as4sQRLxYVP4wjxhPj6lLPKR2ZF8Z4/lvOC7tgHlhG xWXNA6sZXrPSElWAI9OKJP+OOlernLgmVuXQ9XdKn+OzcXhBAWojbCjfrEVR mA75aVGoThDNs1ehNdULTYZgHInahH0Pz4W1cAPqWp5AccljqCp/BiG1m2FL jkd9+iqUm1ah0BwEg34d6rVSn2hc0Jrig+q6H6Mh91m0f6dmaVcv5umcB+WN 1owF6Ekz4vAoreTIUq9cGYeD1yej9Fapy69Nk/okGke4DkTqh71ST+yZkIIj ExPwwvVpKFqshUu8AU7rcqB/TItX2O5KxzyskWcFXB9/9KoEFDhFovf2GBy/ 0jH36/x6RZ3xclUiem6PRr5TFI5c5bhvpA+1xl/6Zf/6xzRwWm+DW5wexTL+ CzekKXtoF+07qtbWxym7h65LQ+ltZuUP/Tp8VZTyk/7Sb/pPHdrV68JahbpR P+pIPakr9aXO1LvcuErpTw7kQS7kQ07kRW7kR44twrNIuFYnhCrO5E3u5M84 YDwwLhgfjJORmoXxwzhiPDGuLice1bwwiee/5bywb+eBxQzvB9YlOeNf+zvu FnyxpB0fL96Bt0OlFsjagjfDdfjQtxxn/bk/mFHNPTrLfcK4xmSZFZ/6mvGm tw7NAaVI3NwG+5pWNMZoUX9kFZ6PbMYvVrRiV1s4dko9+cmmcny4OhedT5nw lrcdHyzNxwcBeTgTbMPPN5cieXUT2lZKrr0mDx8vzcEHgXl4NyBfXnlq7fkn a3Lx8ZYCvBdVil8kluP1yCq8FdaIXctbYHi6ER3N83AsT4umpB4U9KWgrSId VWnFsOyPQWVtJLI3l2BDQSmaS7zQ6rYMnQHr8J5LHf51cQ/Ouovv7k047dSC b0THA659SH7mIL7yacXp78wH4zU/5/dsx/a8j/ezH/bHftk/x2ku9lbjcnza QXtoF+2jnbSXdtN++kF/fil+0T/6SX/pN/2nDtSDulAf6kS9qBv1o47Uk7pS 37e87Epv6k79dzYmKh7kQj7kRF7klripTXEkT3IlX8deycPrZtQ+ABYVD4wL xgfjhPHCuGH8/HW1cquKY8Yz4/oHMy+Mf6GlrvrmX3+F5oTpyJ99LUqyFyL/ 0DwkDdyD+F0PY/OuKVjXPxVbhmYgosMd4R1hiO/fhMhmZ8QcjEN84xJs6vKD rtOI/M2rUeP0OIoXST6/8HZkO92F7CX3Qrfkbhhc70KO60zkOXujaP7TyJH8 PT/gbhi970Shn9QQzuNRv3gsupfcgh2Sh+8KmIq9wU9jIHgWGoNmwRw4Bznz p6Biyv3IfW4Bap9bgubZS1D6xFwkPTYDtTOm4NDMqcj1DERujQGJe7LglhuG iv2pqHgpEBlpT6LJWeoS//FodJW6wGcUsoOeRcjKUNT5jUOj8yjUSZ1i3G1U 7w1yXS+fb1m+BVnSju0bXB33s59M6Y/9sn+3vDA1Hsfl+AdnTFX2JD06Q9lH O2lv7twFyn76QX/oF/2jn/SXftP/+sXjlB6FfrcpfagT9aJu1I86Uk/qSn2p M/Wm7tSfHMgjRLjENzo4RTY5K27kR47kSa7kS87kTe7F5D/7GhUPjAtVd/8f X4P/7X5g/63mz8REWaVuq7zkeWD6yGKYUmtgC+hD5w16DIznswTJZcZIHj+6 AJ1jC9F/iw2V4zXYHVYk9UYWMouXoSQ3EPmF3qjOd0el2R3VJQF4XhuJU9zH +OHncHSWF2ps4SiR/Lk21w3ptljEWTKQbw9Gud1brbeoyXOTNj6oygmS/HoZ qnOCUWn1Q6nVC2VWD7n2RJV8X5zji3yrN0qsnqgx+aC10BMJ4cWoGd+Fvlsr 0TkzAz1zQ6D/cRnCPJtgjyjFnk02DAZbEJ5sx6KqQlTW7EZH6i7sXFsEjW8R CqalI9M3EwYnDTp4zuP1FrVunnVG73ju22VF5aNZSAlIVft3XaxeGZTP0/xT 1DoZtud9vJ/9sD/2q5f+NTIO57NofIvV+LSD9tAu2kc7aS/tpv30g/7QL/pH P+kv/ab/1IF6UBfqQ52oF3WjfkpH0ZO6Ul/qTL2pe35+sOJAHuRCPuREXuRG fuRInoqr8M0v8Fa8yZ38GQeMB8aFig+JE8YL44bxwzhiPDGuGF+XOi+Mccx4 dswL+++/yX5hI797zm/Zh4ItlzcPrGpjluQVOfJvYg32XxGjft/PXP3UNfHo GKdHwT1WdE7KlDogDC8sM6I6Ox5l2X6SO0vMZjjy5u2pTqgpXIKTOn/smvMQ Tjz+I3QunoeMogQ0Z3pgIN4VSdZ4pOanqFy7McsDhTWPoluzEB1pw32kSU6U 4o3Kuh+hzvIMtid4oSvNGR3p7miRfLwhzQ0taS7oTPLAjixX2Ffr0HNjPo7f pMHL41Pw6thIND2ghdcKqSs3F+D5TZnYvlGLbVIjeJTnIbt/L8r0O9EXZENC YD7in81EpJcGKU6Z2DU2ES9eEfft+nl5sUbpvTMahU7bcOzKhIvXK/J58eIw 9N4VrdqP3Mvv2B/7TV6SiWhPjRqP43J82kF7aBfto520l3bTfvpBf+jX8dEa 5ad9jU75Tf+pg9KD50SKPtSJelE36kcdqSd1pb7UmXpTd+pPDuRBLi3Ch5zI i9zIjxxrhSe5sg9yJm9yJ3/GAeOBccH4YJwwXhg3jB/GEeOJccX4upx5YYzn /L/RvLAL5oGp/cD+ynlgzLf5++2Fvfh1QB1+lhWK1xMT8SHXJSzowyfubfgk oApfLsvF2eVmfOxrxE+cDTg4OxsDs3U4MFuPN1z0eGdVHk7F1+L1uE48b43C a0mb8fmqGuwpNOJgURReWtGOF4KLUeVVhlMpzTikbcF+Uyt2m1tx2NyEPfYW pK2vR+H6JnTG78Y+TQd+ktCIN9Y14t2gary5vBonQur+H3PnAR9XdW57cnMB AyGAwQFsqg3G3TKuktXbqFvF6rJ6tarVZfU2mlHvvffeLatY7pUOToFAgEAI LUAgEEIK6+21RyYOF4hJXt67w+9wdObs8n1r/Wdmb5+GY7F1OJbchKaJeqh/ cRhHW7JQ2lAI3el4KOv343hhGEYqqnEpuQFPmjZiULcFY9sH8Kz2JI6Ez+EZ pRpvmE+JsU0Mqn30MbU/Cr+2GMb7pmNCj268ad6Lj0XuuXvmMG4yiT+I/F+1 1MxXuOY23+d+lmN51mN9tsP22C7bZz/PKFWyX/bPOBgP42J8jJPxMm7GzzyY D/NifsyT+TJv5k8dXhB6UBfqQ52oF3WjftSRelJX6kudqTd1p/70gX7Ql2cT gnBe+ES/6Bv9o4/0k77SX/pMv+k7/ScH5IFckA9yQl7IDfl5e4mnf/u8MHm/ sP/954WJEZ5mjCf+LkvTQ4vJ7WK8bYeU49tx6OjDCJnZDJ/JrfAb3YqAsS3w H90Mv4mNCJ/QQ+iAM6LGnBE2ZyHW+1Ca6YV6RxuozfVQoLsFrRtWonH3VlQo LFCzT4y/nDzQ7OyNFmdPtLr5o1PfBhXaZogX44ISRw9U2ovfEf2daN75ALq1 xVzB5DGozPag0swI454h6POJQ7+RFRpNbVDkGoxaUx0Ua69C977NWLR+EK2K O0T7qzCw/04xF1mGfhM9DIxFIHfGAGWLfii8aIeyLhvUO9yLNoMb0GF1G9p4 /b/dLfD3DEamq/j9U/wQjfZ3w7f3sFxzm+/7ewXLciwv64n6bIftFV7cJ9vP nTGU/fWJftk/42A8jIvxMU7GW2u6F8UifubBfJgX82OezJd5d++5G827HkCp wU5UCV2oT8IOjV7UjfpRR+pJXakvdabe1J360wf6QV/oj8YnF+kb/aOP9JO+ 0l/6TL8PHV0t/S9qtpU8kAvyoRkj/e89zvIP54ElLJ0HFn3t54HJ555EVaEg thr9QRM48qMyjNxcjJ471fKeT43352DykQh0rQ/E+B4LnHpEHy3BwaipEWNg lRXq5TzDHtUqMWaucsKZnHCc22yOExv0cXKbGU4+po+jtl4YqQtEZbEVSssd UVekEONpXkdvK48BVBXZokKMvas4LymxRXO5E3rKfDBQGYSW6kD575jFJU7i e9cR5xoC0N14CKHtgSirN0V/WS4CY9qR1laFzN5S5BfkIq00GaFjGQitr0dF +TyKAzuw4NKL6l2dGP5JKTpuq5DPdT96gxJHlhVi7JYCqHdnIdYzESptMdb5 kQrTYt7B4yQ8B2xymQrplmmo3ZQj7zE2elfO0vNXNNu1m3OQZp0mymnKy+eo iPpsh+2xXbbPftgf+5XPlRdxMB7GxfgYJ+Nl3IyfeTAf5sX8mCfzZd7MnzpQ D+pCfagT9aJu1I86Uk/qKvUtsl065mIr9acP9IO+0B/6RL/oG/2jj2eFnw18 ViT9LbSXftN3+k8OyAO5IB/khLyQG/JDjsgTuSJf5OwbnwPzrcvSeWEJ/3fO C/t3zwNrDMqW1ya0hGZj1qMNZ/47Dcd/kCyPCxy9LQkF69LRvjEEkw+4yuee P3WnNob3B6A/ez/6kizRm26OhmI9NJVsQ3mXFs4o9+HE5l24dN8unH/QFC8s 18GgbRA6Gw5iKJn3SHBCYd4+DCeJcXCaKeqqtqJNjIW7xVi7+7ACA+liLJ5p i6EsF3T27URrpZinZnqjNc0Gx8T7L+QewEzeQeSUeaJNvRcjWclIDqyAursI h8dUyM5IR5o6Az7TZfBsr0Z85XGoopqx6F2D9k1FmLk1DTM385km0Tj5Xwno /1EOzt0Yh/wdKfDyOIzcXclyrM37CB9fuo7+tPi7WjcCgw8dwtnrEjB3y9L9 jG+JldsD4v0qvUhZjuWPX6+pz3byRHtsN397iuyH/fEYDPtnHIyHcTE+xsl4 GTfjZx7Mh3kxP+bJfJk386cO1IO6UB+pk9CLulE/6kg9qSv1pc7Uuy/NROpP H+gHfaE/9Il+0Tf6Rx/PCj/pK/2lz/SbvtN/ckAeyAX5ICfkhdzI+wUIjsgT uSJf5Iy8/X85L+zKeWBv/Aov5F+5H9i/MT607MI7RiOinUH8NDoVz+YE4EWP arxjOCGf2/6BjZjLWPTiJYM+nNTuwuSOOozsKsUJAyUuWynxW95zyk2Jj1wK 8KGDGNeK7Z/5V2AhWozpx11wKS0bH9mL+UyJMT62V+JZRRbOmWXhM+98fOCW iw9d8vE7N16jocRnVmp8ul+NCWM1utzFnCS/BRcTqjDTkYbxjkN44aD4DB9N RMFlwW9MIU6m5WCwtRBP+4sYbZrwG6c+zOv0YCLSA5fMSzG9agzzW9vxom4P 3rPqwieGQ3ghKQkjVZV4yesYPrEcxi+tOzDk5I/W/bY4Y5+Ddy3G8Z75IN5V dOKy9SCidy3iN9b9eEPMU5qjt8s1t6N3Lor8NeVkeVGP9dkO22O7bJ/9jFRV yH7ZP+NgPIyL8TFOxsu4GT/zYD7Mi/kxT+bLvJk/dTgq9KAu1Ic6US/qRv2o I/WkrtSXOlNv6k796QP9uJSajQnhz0JMn/SLvtE/+kg/6Sv9pc/0m77Tf3JA HsgF+SAn5IXckB9yRJ7I1b93Xtiw5JucX839/5YXz++Rv3dLP3lz82XIS9yN nHkbxJ3cgoCp9fCd3KaZp4zyGhXNEjCmuR7CZ5jHXLYg5qgnMquyULzfHVX6 68R4+y4UWd8JpeI2qGxXocT6PlRZP4BKy/tRIZYqMW4vtb4fJYqfoNRulRiL r0G9+W6UmjqK8fteDDiIuY6dIcp2PoIa232odT2Ayp3rkGWohXJnc1RYbECW yb0osluNCscHUel4FxrseZ7ULei0vAUd5jejxeJWtJvdiIqDW9Ao5lOVg1rI XNiKjHwFqntMkHfKBw1pOmgwWoYus5vQZXUzah3XwDPgEHps70Cj3Z3YVxsu 19x2D4hFjdMjshzLsx7rs53qHmNkKC2QMb9V9sP+KsK2yP4ZB+NhXIyPcTLe CscHZPzMg/kwL+bHPJlvja2dzJ86UA/qQn2oE/WiblI/a42e1LVSavuA1Ju6 U3/6QD/oC/1Jr86SfgVxDir8CxjZqvHzirejmnkLfaf/5IA8kAvyIV9/1YyT /redH/bVeWBvvYboazgPLHfp2gB5v6co3ou4FgUHeV/hBqQnj6L6wTo0r47B xNowdG31EeNWMe7ZrMCp7bq4uFkXZzYZ4oIYx/YZOIgxsLMY79qjrpDHQezQ VG6LqdxgLGwxx/F1ujgnyl58VAdnxXL+3p0YcPdHU6Un2qv2o6vaW5T3RVmJ F2qULhgtDcKxhkgM1R5EXn4g8g7ZoivLAGfVVjgb74qKGDekR2ihy+sxnFXo 4CnT3Ri23AqVpyGiy4pQmlaG9PRKlCS0QBlzTPDSjk6vVhTrZeDo8nIM3FiO 0f/idSVqTN9ahOnb8uSYeuQOzTGUsSvHQe7MR75xBpId0+UxlSkx/5gUc44J sb/nnnwkOB/GIK/jWZ6LMX07ueZ2vEsquu/RXJPP8qxXvz5btqM0SsfgnZrj Nprzw5SyX/bPOGQ8Ii7GxzgZL+Nm/MyD+TAv5sc8ma/Kw1DmTx2oB3WhPtSJ elE36kcdqSd1pb7UmXpTd+pPH+gHfaE/9Il+0Tf6Rx/pJ32lv/SZftN3+k8O yAO5IB/khLyQG/JDjsgTuSJf5Iy8KeVzYGolh+Qx9xrOCyPf5Pxq7r/P6+rz wOKu9Twwzk8COXbMkUuLrxK1AXmojWhC/135mFnuixP3eqF+qxeatR0wv84Y zz20C8+v1MbT9xjiqZW6GNuuQGWZ+D4TY9+Kui2oL9mO9iIDHIvzxZlVCjy5 QgfPrNLFCyt2ir934vlbtkB5IAbNJZ5ivG2PwrZQjGV7o7DKHLWle3EsJRDn VGGYzQtGfYIvGrwtMBush2fjFTh3eLcYtyqgctHC0L5HMGu3F6Mmumjbux3J /jYI6CxFSaoKSenFUOXWoDZ+GO2G1Tit24bxe5VoWVmCwVtyxPwhQswtDuHU D2Nx8vpYMY6OQ8fKLPSuzMDZH8TK5zTO3BqPVMF2kEMWmtYm4fx1cWJfnDxO MnNrHErMw3Hshjgs3BSHTDFf4XpRbBcrInDkx5rjKSzPek1rk0U72UgzSsPR WzXHWdgP+2O/7J9xMB7GxfgYJ+Nl3IyfeTAf5sX8mGdAR6nMm/lTB+pBXagP daJe1I36UUfqSV2pL3Wm3mqhu9Rf+DCSbY/mYk/kC3/oE/2ib/SPPtJP+kp/ 6TP9pu/0nxyQB3JBPsgJeSE35IcckSdyRb7IGXm7wh45bPon85cr54XF/Zvn hcnzwL74C17heWAW9f/6eWAW3XjbrE9ef/DSgQo8kx2An0en4x0xTvzQbAS/ sejCTw26cWJ7JyY2tWNqcztO7+rEi/q9Yl8/fmfdh9/sE2NSxzq8ZdOI1xxr 8bp7Kd5yK8LvnArwgaMal0MrMdLjhYn0YQx0hOHl5BIs7irByxal+MihAq+5 1eEl7wq86liK54Ia0deXi6OVKTiTqoTneCJCW3PxTGQ5emqLkN83iWdCxvEb u2a8aSPithjDe7rD+EhbLKYiHssB/MqwGye3dqHpoXakufripLcYe1tO4l3L bpnva+Zj+MWhGLzt0IjTwcfxpPdRfGDSg9+ZT+OpfZVo9bBGu5sdnrWpxXum R8T4vweVBtOo1ZvDB3ZNqIvcIde1+nPyfe5nOZZnPdZnO2yP7bJ99sP+2C/7 l+fciXgYF+NjnIyXcTN+5sF8mBfzY57Ml3kzf+pAPagL9aFO1Iu6UT/qSD2p K/WlztRb6i70pw/0g77QH/pEv+jb626l0kf6SV/pr/RZ+E3f6T85IA/kgnyQ E/JCbsgPOSJP8roW8vUvnCP21Xlhgm9yTt7/f54Xxo+pfJ4K5yg81nPVvzV8 gb/h/BuzUJ3yROTJPfCe3QzvpXGr/1XzFP8xzbbf8Ab4T23CwXlTJLY5Iito FwqN70aF+WOoMtVFjYUdKox0UGuni2Kz+1Bkcz/yLe5Csa34W4ynMw1/ghrT x1DvZIk8o92o274ODa6eqLZ1Rf3mtWjZqo1mhZhPmO9AjkLMa0T9Yt4nzPIn KFCsgNLqXqjFmFxpuRL5CrFY3A+laLfY4T5UO65Aux2v+7gF3To/QKtSF+lP 7ELVjC8KK4PRbnoj2kxuQ2PEBpQOuaOyR/zGeT2MdoP/xqDiB0j2s0e6l7W8 55ZNwQF0Wi8T21ZI8reX+1mO5StEvdJBN9kO22O7bJ/9sL9W5V7ZP+NgPIyL 8TFOxsu4Gb/MQ+Qj8xL5Mc9ikS/zZv7UgXpQF+pDnagXdaN+1JF6UlfqS52p N3Wn/vSBftAX+kOfMoVfCe2O0j8/4aP0c3TJ3yteL/lPDsgDuSAf5OSLq4+v CI7IE7mSvwf/79GWr6/uB/bnpfPAIgs154F97ZwaPt9PGSXGhZybRIpx4sEm pEU3Izu+GgmJtYhXJaGuWIkOzxic2GCCxccVuKhlhCc2G+OCGIee26CHk+sM cHyDIU5tNMTZtXp4Xrw/U+aNymJzNItxbHOZ+B5VHcKEwQE8u80Sz2hZYmKX AxqdQzETGIunD0bgTKQHeqrFGCbMHbOH/VCT74SSKDNMG2th3H4jmkLF3Nht C2Z0d+C43jr0mqxB594dmFu3Fy+sFWO59Xo486A+5u+zwLmN+/GciCX/UA1S IhcxpOhEp/EEBldWYubuCgzdVICJHyjR/2AiajcdRO8DqZi8tRRjvIaez0G5 rfir68O/6TqTlodykeyQjGT7w2i/L18eQzl6vVrMPdKg1E/HzE15GDayxRGx 5nY+x1liP8uxPOslO6TIdqa/6bqYpfsXMI7p24tkXIyv98FUGS/jZvzMg/kw L+bHPJkv82b+1IF6UBfq88KjO6Ve1I36UUfqSV2pL3Wm3tSd+tMH+kFf6A99 ol/0jf7RR/pJX+kvfabf9J3+kwPyQC7IBzkhL+SG/JAj8kSuyBc5I2/kjvyR Q/JILvPk/Lla8zzKmH+cY8vzwgTf8rywP//5X7pf2NX3A/um88AagzTzEz7j vCkgV6xz0exbgNrAAjSEZqPiYC7KksMwkJGGafMQMe7UwdEtpujWtsDUJnNc XrUXz6/QxYWVOji+ZgcWtdZi/vH7cHHng5ioNkdLjh4Gsi0wnGqHkcQoHNvi jp8/bIyfPmyKhbU26DMLxCnnKPzcLQQXA9xQ1JCMC96u6MqMQMchV/T5b8H8 9rU4p70O4y6rMW6xBbPrd+LUjvVosVqP8h3aGL7fFHXW61Bn8ThG7zFH5wNW mN7hgGcf1keVTxkqg4dw0qAEs7tacPxH6bhwSzoWxXzhpBj/n74uBsevFx6v ysbQvZk4fePSc1B4DteyOLSvyMbszcnyeY+aZ0lyXhGPnvsSECJ4D92XisF7 E8VchvdFTkDTjgi0akWItuOQbuQp19xuFO9zP8uxfKhdqqzPdtge25Xti37Y H/tl/1/FIuJifIyT8TJuxs88mA/zYn7MsyJoSObN/KkD9aAu1Ic6US/qRv2o I/WkrtSXOlNv6k796QP9oC8XA92kT/SLvtE/+kg/6Sv9pc/0m77Tf3JAHsgF +SAn5IXckB9yRJ7IFfkiZ+SN3JE/ckgeyaWGT838pTHom88L+1fvF/b388B6 8SzPAzP//ueBvSXP/RJjSMNRvG7bicvJh/Bi9kH8en873tQfwTO6XZjf1o4x MSad3dSBC9piHG3cg3esevGBVZ8Yay+1w3OgzDVj2Tflojkn6m1Fn1w+0O/B H7TG8JaY2z1XEI1LWeI7P6Ubnr7HUddejvMJeZjOrUTic3nobhMciO+QkeZ8 LGa04Q3rDvx2fwvmd3Xj2EYxdjcdx6v7ZnA8+DQWg8/iea9pvCHG8B+J8fT7 ii5cNujCkS0dMubz2p14z6IPT+sPotI+HvP+WSLmUfxWzAHetmnFmcJQvGEp 8hHxToZewMtuo2Jc3YH3zYfEe+M4Yye+WxxtMOwUgFet2/GO9RgO7TiBp+w6 0B+5Ta4P7TiJt8X73M9yLM96rM922B7bZfvsh/2xX/bPOBgP46p0iBdxDsl4 GTfjZx7Mh3kxP+bJfJk386cO1IO6UB/qRL2oG/WjjtSTulJf6ky9qTv1pw/0 g77QH/p0xTN5LpyIl37SV/orfRZ+03f6Tw7IA7kgH4yZvJAb8kOOyBO5Il+/ leeIdX//OTXPCxN8P/v/8LwwOS/hf3L8+FfNv4P/9W//41kafxLLm3/8Fcaf GkNVgSNsDpvD4eguMT7dCJ8xLfiPb/3H4ylX5inTmxE2b4z4LkdkRuqj0HSV GAMvh1JxJ5TmP0ahzQpU2TyESqudKDPQQ5G2Nbp26aFKjLG7tLahap8fGhTW qNLZiEInMzTb74aK17ZYPYQKuweh2rcKSpsHUK7YjHJLBSotLVBhLcpYrUaR nRjrW92NQo7vzX+CfPN7RL9i7iKWUsO7oNp7Bwr070KO7SOodXsUxb5iLN/p iop6PTRE7ECLgS767R5Gq+XN6DBehhbjm9EUux0V3SEoy7FFk9WPMWh6C6LC w9DgtBphok6D48OIORiKQbMfyf2lohzLsx7rsx22x3bZPvthf+yX/TMOxsO4 GB/jZLyMm/EzD+bDvJgf82S+zJv5UwfqQV2oD3WiXtSN+lFHqafQVepLnXdp dKf+9IF+0Bf6Q58KTZZDLXyjf/SRftLXK/OWq4+3kAPyQC7IBzkhL+SG/Pzp 6wAKzsib5viL5hjMl//xp3L//byY6Wem5H2U1DHNYpxXhXweP+E9ZPnM+Ig6 5Ic3Iy22EbmxNYg6XIHMgkSkZscivdoFlWo7FDU6YzjYDy/cq4On79fHhQcM cHK1Pk4/qo+FTWY4vt0aT+y0xZM7bHBumxgDGTphyDcOT9UVo0x9CBlhfhhR hqKuLhojFSGYbQpHeac9koZ2oahXfA46zZCxqIeIcxuQNaKPI15ifLZjJXrM 12Bk104c36SLi1v24JQY285vssT5R81xYb01nl1jhaceMMaZdZY4vd1efG/a Yco7FE8Euwo/wtDdXohGpzEM31aLsWVKzf0Bbs3DqFjk82KWi+XWIgwsV6Fz Wxha1iZh+HYVJm7lMxg1zzWR14Z/fd7Ce33dsnSMZEOOPEbC+w4PLc/H6M1K eSyl575sHNltj16x5jEXvs/9fO5KklM6Gtdny2ta2I48P+zrfYh+2b+MQ8TD uBhf5+NhMl7GzfiZB/NhXjI/kSfzbXQal/lTB+pBXagPdaJe1I36UUfqSV2p L3Wm3tSd+tMH+kFf6A99ol/0jf7RR/pJX6W/wmf6Td/pPzkgD+SCfJAT8kJu yA85Ik/kinyRM/JG7sgfOSSP5JJ8klPySm4185cayTO5Jt/knLxfzf+1vK4+ DyztynMhg3g/Yc2xE47/Wv3y0OynQm2wEo0hOSiKzERdYhiq4oLlNQidKRZo Vjlg1skVL9wh5gPrTdG32gKn7jHAc3ftwsz6XTi2ZysWTDfigs42oe02jGy3 wuS+WLyYW4z2pChUuHthNskfPcpwzOUE4Iw6FF1ltiip2YHWam30lRmjtkcH ZYNrkdNjjo4DDhjeuBpdpmKuue92DO80xsRaAwxtMUGdsT2GttpgSsxXJzaK scxaQ5xZaYRTj9hjSmc3RoJs8IKjE3oP+eJIaQpGrGswf30GjvG4Ce8PwPsY /1Bzr60TNybiOJ8Jcr3mnsI992ag/17Nc1DkvYdvSETD6jwcXxb/93uCLV0f z+eo8BhJw9oUBDlmI93gMGZvicPZ62JRYh6BieWHkLfngFyXmol5sXh/TuxP N0hFoCjfKOqx/rnr4v7x+n3eE1n0x37ZP+NgPIyrZ+leyifltTMJMn7mIe8V /MNYmR/znL8hA8Mib+ZPHagHdaE+1Il6UTfqRx2pp9RV6EudqTd1p/70gX7Q F/pDn+gXfaN/9JF+0lf6S5/pN32n/+SAPJALyYfghLyQG/JDjsgTuSJf5Iy8 kTvyRw7JI7kkn+SUvJJb8iuPwSzNX8g3Of/e54UtnQ/zwRu/xAt5XnjDfFCM 67rwG44Fr3kRY0BTMQY1GcWrYq71rNIPz/rk4ez2IcxtaMfIlmbMabXhSb0O vG4qylp3430rMQex6MZvzMVYVsF1F94W49W3TXvF0oMPdXrFIsa75sN4bd8A XrVvwq/2teNoQSv623NxPrQER/p8MfiyOU6lizne/gIM1BdgPrEfZ1xGsBg2 jVHlJTzhcQLPmC/iaf9ZvOIj5gKmQ3jTagDHd7fgyM5GfGjVhg/N2vGG/SCe 85rFfNgJ9OybRZPZCEa1unHZuAMfKjrxO/MeEWMPPlD04Bd7R1Fumo3+sEi8 J8b4lz3q8Ep4HN4wnMS7Ru142WcU59wX8K5JN34txsjM8T2zcfzKYhDjzmGo 9BSfWccEDBkdR6b2PMZSNsg1t/k+97Mcy7Me67MdtnfObQEve4/Kftgf+2X/ 75mMy3gY1y90RmWcjJdxM37mwXyYF/NjnsyXeTN/6kA9qAv1oU7Ui7pRP+pI Pakr9Z1P7JN6U3fqPyB8oB/0hf7QJ/pF3+gffaSf9JX+Sp+Ne6TvGv81PJAL 8kFOyAu5kfwIjsjTs755ki9yRt4kd4K/a2WVXJNvck7eyf3Vn4Pv85L/fizH fleWpWMlS4vmORnfXv9TsXz8tz/h3LtPY2ixHyVV/kjy0UKy4i4odX6MBL89 CJg3g/f4BvjwHDCxBIpxqp8Yv/qMrkfg0a0IXTRBXI8tMuN0obZdgyqzlciz eADFpg+h3dEAhY6WKNmxDvUKc9R4+aNOfxuUezeKMfcedNrpIWf3BtTs3Y22 AyGo0dNCrs4jKHE0RoO1KGdwN9LN7kOx5YNijM1zxZajzFTMDwxWomTPepQb GIox+E5UWmgjy2IdCl20UOa6AcVOa5Dm8gj8Eq1QWOyB4lwdONeYImXaCyHz CoQVeKDC8A5UWt+Iaft16Dd4DO02fA797Wjn814Mb0CbmItUJhkiq8wbRUFb ULN/OzL9xTjQYyWyAlxQ47wdRYGbkVnqjQpRrt38R7KerM92RHv9+mtl++yH /bFf9s84GA/jYnyMk/EybsbPPJgP82J+zJP5Mm/mTx2oB3WhPtSJelE36kcd pZ5CV+pLnak3daf+9IF+0Bf6Q59KhF/0jf7RR/pJX+kvfabf9F36LzggD94T GyQf5IS8kBvyQ47I0/l3n5J8ffpdDGsm018x+7ev5jIapq9sf9/XlfNhXnr7 VRyqikRudIM8byY3vA5p4Y1IjatCdmwlwvJVSC84hMiiUBTU2aGqYh8qmqzR Xu+A7novdFZ74ensZBzb6oQ6ywAM+kbiubAI/CIwEAuejlDF+EJdGI+J+kM4 0+SHQfGbfLjSFrHzdlgsVYjvj/WYDrVG3jFdhC2sRn7n46hq2IbcYS0kDu1B do0CtUWmaC41Q22pA6pKndFTcwjTel54arUCT2yzx4VNCjG2Ncb5x0xxcQ2P 45jj4g4rjBg54ERwKMbCXNBbHI6xKhcU1bugsDkIiVlpSEppw5DpCKZvyMHk XWViPFSK8TuKMcZnyN9RgJE7eE9jPqNRhaHbitH6aBLadoag+24xV7i1BJO3 F8ty37SMLNcskzerMSDmDEq9NBzySkLZlhxUb8hHhvVhTO6yQaZYc5vvcz/L sTzrXWnj2/pg/4yD8TAuxjf042IZL+Nm/PKeyCIf5jWxvEzmyXyZN/OnDtSD ulAfqZPQi7pRP+oo9RS6Ul/qTL2pO/WnD/SDvtAf6ZPwi77RP/pIP+kr/aXP 9Ju+039yQB7IBfkgJ+SF3JAfckSeyBX5ImfkjdyRP3JIHskl+SSn5JXckl9y TJ7JteRbcE7eyf3Vn4Pvel05D+zTP/8V8Rl1mn+Tlvf3ykW1nxLVIdmoD82G KjEF1cnBKEz1RlM+z6ezQodagWG1LUYKnDCR54QXDkViZPN+MSeNRJvI6YkI V1wOM8dguPheSDBBoSoYi6pwXFT5Y/6wLcozrFHUZ40LqeY4c/86nHCyQmOf DvK6H0Szegt6czahsWEjSpt3oixPzE8yTNBQbYasiv0ozHZGVtVhpCji0Pqw BXr0tmNguw1ObDDEuZ/o4cKK3bj0oD5++ogJFjZa4knHACy4O2IqNRjzGe4o Fe2oB8V3a1w0KiJKMKfTgJPXheP4LYlYvClRc83E15avnru4jMc+0tF2X5aY IxzC5IrDaL8zW84Xjn29zjLNc+X5PJSFm+KRvTcJXgfSULIpFcMPxqFaLxw5 uzzEOgJDD8WhWLzP/Sx37CbNc1QWRX22c3W77If9sV/2zzgYD+OSx1uWnnP5 TTkwP+bJfJk386cO1IO6UB/qRL2kbkI/6kg9qSv1pc7Uu0dvh9SfPtAP6Yvw hz7RL/pG/+gj/aSv9Jc+02/6Tv/JAXkgF+SDnJAXckN+yBF5Ilfki5yRN3JH /sgheSSX5JOckldyS37JMXkm1+SbnMcJ3sn9NZ8XJs+X/wten0zF62Jc+4nZ jBjfjuFD8/FrXj4wF+Nm5348dTgGU/6pmNk2gIVHp3Bp+yBe0RdjZzHm/tRq An+wmMDvFRNy+4Or6n9sPIbfW07hN25DeMupD696TGCytgtzlWW4fLABrXNl qDlXhOci63GqoBzjrc34pT+PX0zhvTJ3zIQexKXNxwG9KXyqP4FPxdj9M8tx vC/6e0txBK8Fz+HJyHN4xukcLrufxYmUZ3A251kMOJ9D0/ZjOO96BqdDFjDu MY4uhxEMH5jGMb9FnIo9h1MxF3HJcRG/DhrDB3YDeMe+H3907sTvbccx6JSN o9EBeDU7Gi/FqPG5xQA+duwSMS/gspgLfK7owMdWPfhEjME/turEp5bd+ELE 9Vubdkw6eWP0gDUOKipxMMZerrnN97mf5Vie9TT1u2V7P/Wcle2zH/bHftk/ 42A8jIvxMU7Gy7gZP/NgPgsiL+bHPJkv82b+1IF6UBfqQ52oF3WjftSRelJX 6kudqTd1p/70gX7QF/pDn56PrJO+0T/6SD/pK/2lz28Jv+k7/f87S+OSD3JC XsgNt8kReSJX5IuckTdyR/6+D6/km5yTd3JP/vEfOe//C7H8TZ6p88c/f46P fvckfvXGEYw9dRTDDeEoUbsi3VcbSrPbkKZzM4p3XI9SvdtQZnSXmG/chRK9 OxBVuk+MV3fBe+RReI1uhLtYB06uR9yMCaKrrFDqrSfGvkbI37kVtY/dJ/7e h3rL/ahb/xBUe7TQbGWMRt01yNt9F8oNV6HcZBXyTO5GhvlKHFbchwzbh1Fg vx45thuhVIixtbMFGrw8UWm0F236e9DkFYxmMfbOdXJCjIMVfGKjkF6Ug666 XIzVJKNfHQxlrBU8q5IRMFSOlP5DaJoLQ/jQLrjOGyHmjDnCz+gjdEGMsafX Im1WgTJbxnEHKuxWokaM4xuM1qDGehka992ELuv/RqflDei1/C8M6F4n5h/L kHZoN9JjtZEa7I40PxccDvEQ4wQdZMTsQofljbIcy7Nel9V/y3bYXoOhaNd8 t+yH/bFf9s84GA/jYnyMk/E2i7gZP/NgPso4K5FfiMyT+TJv5k8dqAd1oT7U iXpRN+pHHakndaW+UmehN3Wn/vSBftAX+kOf6tc9KH2jf/SRftJX+hsjfKbf 9J3+HxAckAdyQT5KBSfkhdyQH3JEnsgV+SJn5I3ckT9ySB41xP9tidP/e68r xxI/+dNnKBpR4WBgOXIia5EZXYvsAvF7lZuN9Ko4lJYeQHOuC86W+uL50liM 5CWiPPYgJj298JKrD37pHY2nVaU4UZmAtkI3lFU5o1yMIwvaPJE1oUDxiA4a 67SR37YbQdPrETW8BVU1emiv3YvCMV3kxVnilK2Y1zQEo6bIDjV5bmjK8EJb jg+6cv3RJ5aOfB+05XqiNdMVjfkeaBNz2uYiF0xnxuDsOiucXaWPM49Z4+nN Nhg388KzAcHoivTCVEU02stdUVrrg6ZqwWPFAaTnJCEpTY2Mg83IDWtBU1Qf hlZUYub6PMwsK8DRG1WYu7EI8zcUY/5GMT67sRiz4r2ZG7lPibkfFmHktjx0 bgjDwH0pok4VZm8Q+28okM8/+aZF1hXrxetUGP+REiq9TGSZpSPxQJSYwzsi 4UA0MsW2WrzP/Sx3db1vbFMssl/R/8B9Yuy+4aCMi/ExTtadlblo8mA+zIv5 MU/my7yZP3WgHtSF+lAn6kXdqB91pJ7UlfpSZ+pN3ak/faAf9IX+0Cf6Rd/o H32kn/SV/tJn+k3f6T85IA/kgnyQE/JCbshP1oS55IlclQq+WgVn5I3ckT9y OCF4JJfkk5ySV3JLfskxeSbX5DtH/OaFC97JPfn/8hrm+18uDdRq246h0icf nQHZaOG1yUmJmEiIR3NOGHpSnTEZa4fn0jzwUnoYFuMjRDlfHFNY4zXxvfG6 TZAYY+ahvTEOhXVmqGjZhrr2x1HeqY+yXh10NOzAWLY2OlQ7kNe+FkUNG9Cd sxtjudvR2vA46sX3zFO6bjhX6on2DHMx5nRETfEBlOT6oiHJC8Wlfsiv9kWN 6L8k6wDqSlzRn2GP3sNWqEzNQovJXlx49AH8/EfmeGmlKU7udMHLjn6Y8nDF ycxwTGY4ojvfDWM5TqjLEGPpuBDUhaajIjwFJTn+GA6qEnOJLPk8eM3xEM1x ka8vV7//pCg7dmsGOn6cjd7bsjB5R6q8ruTb6pxd+vs5UWbh+kSk6mcg0iwT qc5hiDP1FeuDiDDPRJp4n/tZ7vxSvW+Lif2xX/bPOBjPk1fF8M/yYL7Mm/lT B+pBXaQ+QifqRd2oH3WkntSV+lJn6n3+Ud53Ukf4kC39oC/0hz7RL/pG/+gj /aSv9Jc+02/63iD8JwfkgVyQD3JCXiQ3gh9yRJ7IFfkiZ+SN3JE/ckgeySX5 JKfkldySX3JMnsk1+Sbn5J3cX/05+NbPydJ5ML842o4pi11YsIrEnIW/WILE EvhPl1mxzJsH4Yh1IDp8NkC51xaNWpGYNvXHMZsAnLAOwoKlpq2jClFe8bX6 YnveJhCD7lEo9k9HSHMoyquMMRqkj4JW8TsuvtvmFKFYNPHC9L5QLJhH44x2 KM7sEfNzc/YfgiOKEHTs34xhKx/MWQXhqOXSotD0O28pfq9MAnDc0A/HTYTP tn44ZuuPKTMxdzUOQ4eBNwqti5ClM4HDhmOoVcyhfdcMejdPoN5kHgUWZ5Bv eUKsTyBF90nE2D6HLDGOr7GbQafxBcTZ1KMqnefFT6LdcBqFxsdxePdFNO2Z RuvWCbRsm0SLlmZpFn83bRtHm/i7e+tJ5O7pwEFHe4RZ7pVrbvN97me55qvq sh22x3bZPvthf+yX/TMOxsO4sh3PiTifR7KIVyniVsr4z8h8ekRezI95Ml/m XWhTKHWgHtSF+lAn6kXdqB911Pj4d42pN3Wn/vSBftAX+kOf6Bd9o3/0kX7S 19FgfVQIn0OF38UB6dJ/cvBNfBxdeo8ckSdyRb7IGXkjd+SPHM5eA7OaJUhy Tt7JPfm/+vNwLeMxvt747GU8/dECXv/8Sfz68+fws48v4/hb59D/y6No/dkU ki6kIel0LnyH0+FWFIj4qF2ITd4Ji1RbOIebwT/GAn7J++CX5oIg8Tvsn+2O wCxXBIklJNsNkTluiMgU7x0tR9oT0Yg5bYWKOX+0zIrx0MA58X1WgoaYADTV KjHQmoN6tQtyix3FWMATqnoXpFdaIqnUFLEVCsRXmiGiRA9BZbpwa7aF1cAB WE0EwW4uEi4nohB47hCin4hF3KUwJF/wRuold+RddELqKQW8p7fDavgx7J/c BZ/zbgi9HIPI55MQcCESvuPW4nO7FSFD1vAadENsowOSq+3gVLsfNqNR8JmK REKXiKXVASltJkhqO4xYX9GHtxcSxe+En6U/wnx8EOLugrADrggV38cBfh6I Dt2PhEAnpPjaId/DGJmBNgjMVyImuQyBebli21q+z/0sx/Ksx/psh+0dFO2y ffbD/uJEv+yfcaS3OSBRxMX4rEejZbxJIm7GzzyYT0jLVpkf82S+zJv5Uwfq QV2oj9RJ6EXdqB91pJ7UlfpSZ+pN3ak/faAf9IX+0Cf6Rd/oH32kn021BagT /tZmlEq/6Tv9jxYckAdyQT4iBCfkhdyQH8mR4IlckS9yRt7IHfkjh+TRZ1jD Jzklr+SW/JJj8kyuyTc5v5r7f/a68m/KT756GaqOKKjGcpC84IuKfh80Tolx /ngsVA0xwkd/FASZotVP/O5FOYjfaGeow21RHiDGWz6G6Bdxd/caI2piC7LP rkbriRXonbgHVYsrEffEg4hbeBzF/XvROLADFUM7UNSzB8Ude1HWrYOK7p1o G/PC0Lxoc3g7Koa1UTm4HeUDW1E4uBXqIbEe1kLJ8DaUiqVY/F0k3isa1EJh /1ZUTu/EYIszxrNMoRxwRNsxR0SNiLnjkDPS652QUWODQ+1u8C+NRlraYWTm JSEjPR35GUnIzU5EZk40qpVtKDGvRr6hCkqjQrnkG6qhNC6EWvxdYFCKPOMS 5CnUyDFXIUdRIOa0hcgyL0KueyxSLfORbVao2fdPliyFCrlmKhToFiHeORuB SUpE5jUiSKy5XaBXJPez3LW0x34Pi/7zRRzZIh7Gxfi4j/HmmZTI+JkH85F5 fZWjCsUi7xqRP3WgHtSF+lAn6kXdqB91pJ7UlfpSZ+o9IXQfaHaWPtAP+kJ/ 6BP9om/0Tz2kJf2kr/SXPtNv+k7/yQF5IBfkg5w09u8Q3OhKfsgReSJXbYIv ckbeugR3vdEWYjxliArBI7kkn+S0TfBKbskvOSbP5LpiwAdJ875QCt7Vgnvy f/Xn4Rs/K0vH9c++8iLCChORVheLg20HcLjOB7ntkchtjEC8OhzuyX5I8TKD ys0c+a4K5AbuR2qAC3K8bMXvvSlK/O0QNWCItLGVqO5egbrBO1HRvkrkfB+i px9ExMA2ZDUIHZp2iN/gnchs0kNWnSGUdXooqNmJimYvNEy4IbxfB6ENCoRX miBgyBQJU3rIbdmDDDG/U4p5XmHLTqjrdqKgdhfym3ZD2bATRb0GKKlxQ0uc iKXRA/VD7ohuNkZsqyvSShyRqrYR33euOJgXhtSEOGSkxSA9MQE5yZHIjk9C ep47Gqoz0W4gxq57ElCvk3xNS61OCtq1E5GryIWbQSXqtFPQcC31dEU57WR0 bUtGnkMCbONKYJHQLdfc7npcs5/l/llb7I/9sn/GwXgY1zXnIPJl3sw/Pd9d 6kFdqA91ol7UjfpRR+pJXakvdabe1J360wf6QV/oD32iX/SN/tFH+klf6a/0 WfhN38uF/+SAPJAL8kFOyEtWg7bkhxyRJ3JFvsgZeSN3xX52yHYylTySS/JJ TskruSW/5Jg8k2vyHSY4T62NldyT/6s/D9847vpSMz778PVjGE+1QbtHMQa9 stDvlXONSzb6vHIx7H0YC75WyD1og1QxP1Up8tHkkoHeAzkY9cnFkLemfK9n jiivWfqX1gNiaUkUnCqTMOCXhN6ATORNB6Nh1BrNCQcQNRiE+K5UtIdkoTMw AW2heej1KcS4Qz6GbUowkeKCbv+9qHXMw7CIvfdAFvo8RQ4HssU4OAsjIo5h z0wMBWaJcnlocVeh3UeFtsPFKM6phId/BfKM+tG+bhLp2lPId5lB08GjaEs8 gbrAsyjwuIhK41MosjuHTo859OjPos70OLqtF1FrNYPAiAQ0Jor5msco+h2O oNNgFlWOJ9HjdwSTTqMYcx7DuPOoWMYw6jyCif0jOLL/KHrcBpEXFAdfX1/Y 2brINbf5PvezHMuPL9VnO5NOI7LdStE++2F/7LcxMUDGUWs9g26bRdSZHJdx Ml7GzfiZB/NhXs0iP+bJfJk386cOxbmVUhfqQ52oF3WjftSRelJX6kudqTd1 7w7Yi4lkF+kHfaE/9Il+0Tf6Rx/pJ32lv/SZftP3lkSl5OBqLvqWeOE2+SFH 5IlckS9yRt7IHfkjh+TxWtkl5+Sd3JP/qz8P1/r6418/xe///J5Yf4TPxPLJ Xz7B5Y+ewfF3xnDpd6ew8JtLaHh6HhMjpehr3YfW9lAkqj2QGqSFQ95bEOa8 Dsk2DyPDfg0yXDcjy2ML0g9oIZ1rz63IcNuEqDADxPQHIP6UOwLE+Dh3wRlZ C9mIVEWh2ccTTeEJaPJwRoWFFrLCD6A4KQgxkdZwT7BDaLYYuyrd4K10gH+B A0JK3BBX7oH0MjeoylxRUeaMmrJ9qK+wQWWpMYpUO5Cp0kJq/kYE52+GfrUJ rNrEPOJoOlLPVeDwaTEWGQpCeYMV4gc9cXAuFMEXUxHxXDEiTmUieiIOScVG Yh5qh5xOaxyo2wazISt4DtvAe8Aa3oMKxI1lolzMJdT7LZCuvxNV2pao8zqA WncLVHnYotHfUvhihkZvS3QHmmHMXRsDnoZoSvBCbGYmvMPTcSgzS24PeBjI /SzH8rKeqM922F69aLdqj+jHYJfsr0L0y/4Zh4+Ix0vExfgYJ+Nl3IyfeTCf iOeKZH7Mk/kyb+ZPHagHdaE+1Il6UTfqRx2pJ3WlvtRZVeYidaf+9IF+SF+E P/SJftE3+kcf6Sd9bRT+Nvt4Sb/pO/0nB/GnPCQX5CNdcEJe0pf4kRwJntIF V+SLnJE3cpck+COH5JFckk9ySl7JLfklx+SZXGv4/q4zyr7pd0Xzm/Puhy8i vjsJ/r3i+71PhcQjeTg4HA2bqgPITNfDdIYNZpT+KMsNQViMN8qcTNDvaiE+ m3ZocbVCoZ8zsjvE34Ob0dq6BXn1Iu+Rx5B96l6UHblXjGNXI3Z+NdyPb0bI iDGy+o2QN2qAtCFzJPUL1ur9UCCWwlYjZDQZIaXLDCk9CqT3mCO71wSZPYY4 3KWHxG59JPXo43CPAVLFb35ilw7SRgVPsTYoDrJCv9IZKQVijDjoh7QOW0RM OCNwZj+cmsXvU1kwfFoD4KzORHBBLgJzCxGRXYDgPPE7VtSHmp3id2ZLDkq0 8uRSui0fZVvzUamlhnpDvtiXiwKtLCjFUqCVCfWmPKTpJaLGKBAN21KRu1XM NbZmiiXrWxelqMf6heuzkbkjA2FijhEfnIzsiCy55jbf536llqb8d7WnEv2x 33rRP+NgPIyrYKkfxsu41RuUMg/mw7yu5Mh8mXe+yJ86UA/qQn2oE/WibtSP OlJP6pon9KXO1LtE6E796QP9oC/0hz4l9ughtUtf+pfdZ4IM4WdKt0L4ayrG WUbCb2Ppe1y9P5IGFJKHvBEDZAo+QkaM4LG4GbFza6DuWy04WokswVP86GPI a9guOWsVvGUJ7tSCv1bBIXkkl+RTcip4JbfklxyTZ3JNvmsE536Cd3JP/q/+ PHzT669L5+0f/+mvkDw3jhEs4OLnx9D68ybkPl2HzGeG0NyfjrGyAAzXJqJr qBATZzpQFWCDOmst1Dloo2a/PuriPVA9H4ewvnVomFyBisnlyDy6ClmnH0TZ 1GqohtYhdmEt/BY3IWJYH1m9usgZ0kaq0CSlzxgJdd5Iqg1BYrk1MqrNENC7 D46dLghqt4HfrPhuOqZA8oCYv/SYIn3ICNn9hsjpMkRu516EjbtDfdgc6lhT 9OZ6Il1lLfoLQnaXPeInXBBzZD8C29yRWO2HqDYfhJQlILY0GXGChUNFqUgQ 36GtRSXoXp+Ilocj0PpIFFrXfPfSIpb2NZGybPKeDMRsykbDhhi08b3vqveI pm7v/ZGo3RCFg/sj4ReUAe9QtVxzm+9zf8tS+e9qj/2xX/bPOBgP42r5J/HL hbGIfJl3a3EJEtpdpB7UhfpQJ+pF3agfdaSe1JX6UufeXA+hu5jHCv3pA/2g L/SHPtEv+kb/6CP9pK/+wl/6nFhhLX2PF/6TA/JALsgHOSEvsQuPQjW4TnC0 RvKUObtK8kXOyBu5q4vz0HAoeCSX5JOckldyS37JMXkm1+T7guCcvCfPj0v+ r/48fOtvy9I1YR8824XXnHLxickMfm82jN+bjlz7YjKOt60m8EqYCk8kh+G4 XTkWV09hcd0ALmn14Vd7h/CRyQj+aDGKz8xH8YnZiNz+aKn+J4bD+IP+GD42 GcV71pN4zWUIb9r14DWPEczUtWCxrBi/CK5F69ES1J1S43J4FU4XlOFIbT1+ JcYZJ7wisLh7Ep9bTeEzvSl8bjyNjwym8Lb7HJ4PPoPLdifxvN9pLGQ+gfMx F/FLhxN4xuUcKmyPY9p5Fu/7TeJdu348bzqMAfNJlFsfRUvwcZwNWcTl4AW8 4zWCt60H8aEjn5/Sib9YdeMVvV4MHFLgFy5KvBSTjxfjD+OP+kP41LIDvw4Z w/OOc/jMtBMfmfeIpVssHfjcdAi/V4ziok0GupxNMe4WhNC948hJM5Xrcfcg +T73sxzLs56mfg8+M+vE8w6z+HXwmOyH/bFf9s84GM8rur0yPsbJeBk342ce zId5MT/myXzfE3kzf+pAPagL9aFO1Iu6Sf2EjtSTulJfqbPQm7pT/191WEs/ 6Av9oU/0i77RP/pIP6Wvwl/6TL//oD8q/ScH5IFckA9yQl64TX7IEXkiV+SL nJE3ckf+vhevgm9yTt7J/dWfg//ki5/EP4g50du/exanXzuNgfluNFa6IDHJ HhnWdyLV8HYU7L4JxUZ3osTsbvnc9Zi+/fCf3QzPkbXwGd8i1o/Be/QhBB/d gthpS6SWOiLReQeqdj+IdgsdqIy10biRzzyxRbP1fjRteAjFOtvQZm2ERt2H kbP7dpQa34Mi0xVinqq5xjtH507UG25AuaU5CjevRfOOPWjcH4pyW0+Ubd+G NHMzlHl6ofuAG7pdjFBj/QiU1muQ6mqI4KhIKJXl6MjLQENJtPgtN4FDlYmI ORQFJ32QMr0XrjM7EHRCH0HzmxF5ZAeS3dah2PAmqOxXYNBRC427VqHe8XoR 8w1os7oenWLpMrwOHXrXQR24DnHp/PfMLcjwc0PhAW1k+rnL7bh0U7mf5Vi+ 0/J6WZ/tsL2mnaswJNpXOayQ/bFf9s84GA/jYnyMk/EybsbPPJgP82J+zJP5 Mm/mTx2oh9RF6EOdqBd1o37UkXpSV+pLnak3daf+9IF+0Bf6Q5/oF32jf/SR ftJX+kuf6Td9p/8aDtZKLg4JPsgJeSE35IcckSdyRb7IGXkjd5/yevv/OOma Z8LwdeSpUUQcTENucDvSoiqgiqxAUqYaRepk5JWloL4lQMzr/FBWvh/9ObY4 pwrCU0VxmFanoiRW/PZnJKKpMBs1uamYq07HkZqDaC1xFPNBe6hrPJEz4AjV EcF2rw6aavcic2gbQo88hoxRbZz03Ytu011ibOsgxqKWaFA5okc+c9AZVQVe aMz2Qk+GO3qzfdCX74MOlTfast3QX+iB0ah4nFtjiecfNsbFVXo49agFnttq h1ntfTjlK37jAkQ5dTiOlHmhrMYVLTUHoKrwwOG8eKQllyI7pAFlkZ1oe7QZ c9fnY+ZmNWZvKsbcshLMLyvF7LJisV2ImZtU8hnxczeqMSXe670/Gf2bwzB0 mwpHb67A0ZvUS2W+Zbm5AAs/VGPuhyo0r8tFul0qlHqpiPeIwZiBOeLEmtt8 n/tZjuVZ77vaZb/sn3EwHsbF+Bgn42UZxs88mM/cjSWYvblY5sl8mTfzpw7U g7pQH+pEvahbvyocx/3dpJ7UlfpSZ+pN3c+uthI+xGGAc+wcd3QLf+hTT5Y3 eoVv9I8+tgo/6Wu98Jc+HxbjOfpO/8kBecgSXJAPckJeyA35IUdtgidyRb7I GXkjd6WCP3JIHskl+SSn5JXckl9yTJ7JNfnOE5yTd3J/9efgu15XzoP55Svv 4Je/+FBT7/MvgD//BZ988DZe+eki8Mc/4rWnZzX3uf+L2Pfux8Dps/hy7jTw szfFAO4LfPmHLzA2047shnz0t/lhsdEULdXbUFe+E3V8nk21DVrFfG60dA9G snejvmYTcltXo65+B56x3oXZbdtQWWmF+mJD9KRZYiBFzD8ybVBR7I7CbD80 JHvK84rU5b6oS3VHaYYn2oWnqrBsVG3Zi6fE99eLN+ngheX6ePUeM5x/RHxm bAPxhL0TjsSH4GyaG7pyHDGW64KONEfUxIShpHg/KsIS0OFdhamVanl+FJ+B cu47Fu7n81DO/yAelSuKMLEsA+MrMjB4ZxYu8Z7F31LnjFiekueRxaNxbSpC 7TKRoZMMpV0wso32yzW3+T73sxzLn1mq/01tsj/2y/4ZB+NhXBfkeWTXkkes zJv5UwfqQV2oD3WiXtTtSFwIntznJPWkrtSXOlNv6k796QP9oC/0hz7J88CE b/SPPtJP+kp/6TP9pu/0nxyQB3JBPsgJeSE35IcckSdyRb7IGXkjd+SPHEoe BZeST3IqeJXcCn7JMXkm15JvMi94J/dXfw7+yadFngfz5y8/xiuD8XjRpA1v W/L+XD3fY+nGb3m9tNEwXnPoxM8zw3E5PRI/s+rAhR2DmN3SiuGtrZjVascT ep14zawb71jz2SV8TksP3hRtvGHJe0h14y3zLrxjKvab9cprsj/UHsCHOgP4 rdkoXt03hFftW/DKvm5MlDZheNYeL4jvrIaZg7AYycF8djmeTMpCdXcNKlPO 4rTHGI4lTuMXQUfwutEE3t0rxqli3P+26HN4bSue0WrCZwpeF96Hi75HcTLq JC4ELuKi1xQWdvViXMR9YmMrXtLvwvsWvXhHIWK26MeJ7cNoiLHHT0My8b7e LF52rsUvo2Pxqtkk3jNpxyXfOZw/MI93TbvwhsjtHUU/3hXzg/OORWj0sELr fnf8el8T6vZeRKXRGGbiN6HScExu833uZzmWZz3WZzts75xol+2/L/phf+yX /TMOxtMQbY/jIj7GyXgZN+NnHsyHeTE/5sl8mTfzpw7Ug7pQH+pEvagb9aOO 1JO6Ul/qTL2pO/WnD/SDvtAf+kS/6Bv9o4/yGnvhK/2lz/Rb43uP5IA8kAvy QU7Ii+RGxE2OyBO5Il/kjLyRO/L3fXgl3+ScvJN7zXlg/+oo7suvbfEaZc29 ZOW1938Ta3mvYvyP+4Hx9RexfIgvcPG9kxg5O4aSKm8keWshU3cZAgN2w/uo LnxGN2musZ7QPJcjYGwb/EZ4zf06+B/dhqg5a8TVOSJN1FMa3oEiy5+g3G41 chQPosj4IbQ6GIq5gRlKdq1Bs50DKvf5oX374+jYvhade8UcRd8WRTu3oszV EV2Oe0Q9Mca2ugflNveicN9KqC3uQJ7pj5BvdisKRJvFlntRa26BCkNd1Jtt R7HeCqiN70KenthvcBdyzB9Cjt16lDttFPVXIzDCBCUqD2Tk74H7XBBS6nxQ L9ptsliGXutN6DffjHarm9FpfTs6TG9Gm8GNaPR/DAXVvsjMcUC77a0ocjWB 2scC+QdWQuVtIbfbxPvcz3Isz3qsz3bYHttl++yH/bFf99lAGQfjYVyMj3Ey XsbN+JkH82FezI95Ml/mzfypA/WgLtSHOlEv6kb9qCP1pK5dQl/q3CH0rrTz k/rTB/pBX+gPfaJf9I3+0Uf6GTVnI/2lz/SbvtN/ciB5EFyQj2D/3ZIXckN+ yBF5Ild/+SZkySFvT/fXv2r4/PLK8k3PnfzXPxccq33xtz+ifFKFuPASFB2q R250HfIj65B7sAnJ4u+MQ+WIEuPZzEIxzs+PQ0q9K4pLbFFcaYnmCnN0l1mh RR2DY7q+eGbjPjz/uJ2811OjlQe6fcPxbHAUXgwKwYKXE9SRPshVx2G0JgJP dofhdHIE+nY+jrJoS1QO70NbizZypnQQfOYxJE1tRGn94yhp34rDo9uQ3G2I 4nJrVJcbivmKP84/bouTm6xwaqMVnlhnjac278P5jRY4+6gJzq4xxpnHzHB2 uw0Wd1th7EAwzoZ6oCorCHN1/mIc7IKs+nik5LdjSjGCqf/Kk9euT97Be2oV YWS55p5cI/L59OI3/9ZC9Ij32naEiHF+MgbvEHOXH5dg4vZCUUa59Bz7f1yG eW8uPkvlRhXqH81GktNhpNqkyflF2e5MwVEy5rXsoTRKQdmuTPk+97Mcy7Me 67Odb2qf/fL+YNMiDsbDuBhfj7w3WKGMe2TpWZXMh3kxP+Yp8xV5M3/qQD2o C/WhTtSLulG/s0LHc6uNcf5RU5zjNdmb7HBpnUb3ExuthQ820o/qCo0/9ClF +EXf6B99pJ/0lf7SZ/pN3+k/OSAPuYVxYk7hIzkhL+SG/JAj8kSuyBc5I2/k jvyRQ/JILsknOSWv5Jb8kmPJs/ibfJNz8k7uNXOVf/75uXK9/dsf/B6nn30Z n/7pc/z1y3+syU/m7//wHj7/8x/x3PMz+NPf/oTnXr8opy8f/ekjfP7FJ5py b76FRS1bjG9zx4i2B85v0EOTtZh3BNthIdkWlw/aYMbLBA0+rqhMjsNidgQu V4XgiZAQTK/ZgnYPBTrr7TCm3oP6Nm3kjqxFRdM69ORtRWep+My0b0Z+pSEa ssRnqskMKZXxaFvrjLrd4jPrvRsjG50wucYawzsUOLVBfE6W6+DMvXp4br05 nlhrguMWPnjeyRWd0YGYG9qJmmpD1GUfQlVqIY7r1+HEdeFYvCEWJ3iv4mUJ X11ff2VZFMvJ6+Nw4qZ4FN9XiN7lGbjwwxhM/0jwuZz3FY7F4vX/WOfYsnic +m/ewzgObavjEeSUiiibVBy5PQVD6yPRuCMM6q3eaNwZhqF1EfL9SLGf5Vie 9Vif7fxDLPI+yrGyX/bPOBgP42J8jHPxhq/VYT7LEmR+Mk/eX0C/FlVphVIH 6kFdqA91ol7UjfqduUdP6kldqS91pt7UnfrTB/pBX+gPfaJf9I3+0Uf6SV/p L32m3/Sd/pMD8kAuyAc5IS/khvyQI/JErsgXOSNvfJE/ckgeyaXkU3BKXsnt 1f9Kxr/INzkn7+T+ez2HZel45e9/9xR+nhGMN42m8M6/8HwLPhPjHbM+vGk4 jpcC1HguLwivRuTibcUYfmM0gKf1O7CwrV2MmzX3NOa9dl8x7l66pzHvbcv7 gYm5ktmAGMP24S0rMQ61EuNX6z68ateB1+1a8Oa+BrwvxrM/OxSNi0lFOJWj Rl9tHzJdxzDn0yP07kRnbTHOHBL85xei4PkkDNWqcSm8EAOdRZjK6ELvlkZc MBXjao8jOO5/CRe8z+Nnjgt4w3oI7/N+WkZd+NBKM9e4oNuJsc3tmNnajpcM erGwZRB9UZ54OTwX7+lPau47Zd2Fk8UhQrNWvOU4iIWDp/CGnRh7m/F+YpN4 0aITvQ6+aNtvi/NO+fhIMY7LliPyfsav2TejLWK7XHP7BfE+97Mcy7Me67Md tsd2j4n22Q/7Y7/sn3EwHsbVK+Jb2DIg42XcjJ95MB/mxfyYJ/P9ucib+S8K HagHdaE+1Il6UTfqRx2pJ3XtrC2SOs8Kvak79acP9IO+0B/6RL/oG/2jj/ST vtJf+ky/6Tv9JwfkgVyQD3JCXsgN+SFH5Ilcka93/sVnsJBr8k3OyfvV/P9n X18u/V9zLfLfvnou5D9+SPmvDm98/mscOdmJyJZIuC7shc/0enjxuSu8p/HY 158RuVmMZdchaOZxRMzaIqFqP7Ldt6NA704Umi2H2maFGGPfhQoLPodlJ9r5 vHVdfaj3bkG/NZ8HuQcFezaiyUD8drgdQLWpoRjfPIZiB0sxxtdFkcl9yLV6 CFWWm1BmbY4asb/YYgcKbXgv41XIsVyBfPm8kvuhsnkIKuv7oeazWBR3Q2l6 D5Rm96LE9C7Rz62otrwdDbb3oalaDyXHLNCuMsewjQ26rJejw+xGtBosQ7PH A6hqdEFNZzCq/DegT+86tDk+jPDwg+i0uwvuiWZyHX4wTLz/kNxfLcqxfKWo 1+z+gGyH7XVZ3YERG2u0qc1lf+y3weY+GQfjYVyMj3EyXsbN+P8Pd+8BnlWV bo9bRwUUEWwgFoogiEiTTkIgpPdGh1BDGum9f/1L7703kpCQRui9KZZrn7GO XQEddebOnfnNnXH937UTkOLMiM7Mf+ae5/mek++Uvde71kp4X87eZzMOxsO4 GB/jZLyMm/GTB/JBXsgPeSJfWcIb+SOP5JO8kl/yTL7JO/mnDtSDulAf6kS9 qBv1o47Uk7pS3yveZaw+Tys/0Bf0B31Cv9A318ycF3/RZ/1rsVw+9/ef/5Tl 4rj9d758E+HZ4UgNrBh49+uVa0IaggfWXAmuQFpEAWIiCxFuSoQ2NQqRuVKL Fnlgd7I/jk+xwAvjFuLseGu8ON4SZ8YuwOGx83F43HycHLcIhyYvxeHpDjgz zQGvL/TBwfww1Bs8ccYciKOlcXgnPQWHlnsjP9ADRtNGtBYEoq0mAAU77aFv mY2MirmobvOBNnExMjwfQ++cSTg2fQzarR5Bg8VE9D45F2cnz8OZmZY4+ORi HBm/DM9OkFpmtBWefVRqGakPTs90RqvLJry2ZQsyksKgCduHlpHF6HkwBzuG SI1wawq6B2vRfqcWXXfp0DEkG83jYlDxdCAaRqegaxDXXuE6jVnqPVzXvGdY aoTOoZwvb8SOew1ItU5GtFuCWjuy7xYT6kbqEOXBdxunoWuhs9rHyPd6Ob5b zvM6Xs/7eD/b6Rx67dor/HTe3Y+DeIiL+IiTeImb+BkH42FcjI9xtowqhjZs v4qfPJAP8kJ+nnvUBi+SL6kBD421xkGuoTPTQnidi93Cb4PlRMU3eSf/GV6P KT2oC/WhTtSLulE/6kg9qSv1pc7Um7pTf/qAfqAv6A/6hH6hb+gf+oh+oq/o L/qMfqPv6D/6kH6kL+lPtRbL1WtJhvS/05j+ps/p98v9/+N+V/p/H994/2Ps P/1L9TP/L0Gtz/UDz2jY9jfffIE//elPOPVcJy589Bo++PAVfPjr5/BeTjFe vP8pHJpogXrJKQ8/xvfPzsPZe2Zi32NP4vgTj2HXvDE4MOdpHJo1G2897YwT mlB0hbvj5ZhteN4YhQ/j43Ha1g31q51RErsOfVo/7MvwQ1OJDcoKZ6LRMBPF zWthiub/40xG76wpODRzMHqmjkLTwklomLkYPWMt0Tl9MYqtHNAgtWjPQzbo nGCLPfJ7s2fpBBx9Zg76LDbgrZUrUe/vi4r1ddh3dypO3ZWAfTdGSS4fhGM3 huLQLWEq9z/MdwJLjXB0cBRyRxnRcnciTvOdx7f2v7+rZKxWzZM/OvC+YVXb 3BKBszeEYfdd0YgSz291S0bV2P7nIn1Dw5BpHYy+O8KQtnCN2mdZB6HvrnB1 vlKu2yLXR1knqfvZDttj3cH22Q/7Y7/snziIh7iIjzjV+4wV7nAVB+NhXIxP xSnxVvjWoX6br+KBfJAX8kOeyBd5I3/kkXySV/JLnsk3eSf/1IF6UBfqQ52o F3WjftSRelJX6kudqTd1p/70Af1AX9Af9An9Qt/QP/QR/URf0V/0Gf1G39F/ 9CH9SF/+kPf/8pf+94D9eWCOCn1Ov1/u/x+7XRwP89l/VeJ1nwR8MbAG4U9a R5xrRlp24GOHRrwSFoOXUzfhPa9yfLWkU621wf8Pf2NRA47OrEX3lGr0TK7D kVn1eMOyER+6VeIrt1J86lWIz5eb8YWHGZ96pOMLdyMueGvw4cpcHEqPQ8ve tdgb0oTWHjdcWJOC0xYavGKtwX87p+N3Nln4xj4Ln/nk4f2NBry7SoMXQ4tR XZMmf2MCUBRuRuxxHRLqCrA3uAS9Zanoyi3CW17NkltX4z3nNnzK90gtaMN/ z9uJbyXHfmF2M0yjqqFzXYt9K/T4bPEunHfmGo31+HBxNz7YFo5fbSzB7i3P 4a3lrfh2STvet29Bl7cfilZaYb9LjMQt9yzZha8daxE35wB2L92NL53KUBo8 U+35nce/kfO8jtfzPt7PdtjeN9Iu22c/7I/9sn/iIB7iIj6d21qFl7iJn3Ew HsbF+Bgn42XcjJ88kA/yQn7IE/kib+SPPJJP8kp+yTP5Ju/kv7XXVelBXagP daJe1E3pJzpST+pKfakz9abu1J8+oB/oC/qDPqFf6Bv651XxEf1EX33+E32p 6mnxNf1Nn1/u+/8/t/73IPevy3L5M5g/4c9o2BuAkD1L4X9iJtZ0ToYvaxa1 HsdVa0aybumYiE17ZiBotwMSzQ7IcJ2O7IWzULrMDtlWFsiznQX9kgeR4yT5 t73k6pKLGx34uQ+ZTqNhdngUKUtGoth2Moq8bWG2nYesp2YixcIJabOlVpky Q66zQoWnBbKXPIaEJaOQ4TBGcvnR0NveB+2yEdDZSf5v+xC0NiOl3QeQ53Yf yl3vQZ3T3fIZioYFN6Ig1RKRB59G2u7lyNzpjVyn+1Hm8ygKiq2Rvn8zSlMX o2zpHaizug1NjoPgt1FyP+9nUOM4GA4ZG1Are7PPM+o4z9dZ/UJdXyL38X62 w/bYbsZOT9UP+2O/7J84iIe4iI84iZe4iZ9xMB7GxfgYJ+Nl3IyfPJAP8kJ+ yBP5Im+pwh95JJ/klfySZ/JN3sk/daAeZdRF9KFO1Iu6UT/qSD0vXyty48X1 IkV/+oB+oC/ojz/hMg//5WJ98ud/wQorf3+7uAZF38u74BcRA9P2cmiZ5/3V Ne0L+9e0DyhFsuR/SRFFSNiej8CcLGSvz0D1hOU4MNtW8lx7HJ++BGefssTp pxbjxFNcm3Axjk+yxJGJkns+vQQ7M1YgJ9MRORkOyDZLbZzti5dsluPY6IXY O80JJ2e44CXJo19+yh59TzugaG0IjlbqUZUVAo3WFzu22OCIvzd6tStQY3BF kb8dGu1mon7lOJRvGY8e51nYv2A6epdNRpP1VLRNmouDj8zB62OewZkxi3Bs jAX061Ohi2pHqX8f8u3r0GPXhaIJFdg7PB+t92Sh8lGpuyf4o32YDp1DpEYY LrXC3Tnovtss+yvrFH56bzeq9eoNCxMQviIGGTM0UktInTDYJHWDHlGusSh6 QoveIVITWTqpfdETUsO4xqnzvI7X8z7ez3bYHtu92MelmoXvPVY4shUu4iNO 4iVu4mccjIdxMb7SbX0qXsP6NBX/mbGL8PpjzyheyM8O4aln2STFW7fTTMUj +Wy0m6X4Jc/km7yTf+pAPagL9aFO1Iu6UT/qSD2pK/WlztSbulN/+kD5YVK/ P04M+IW+oX/oI/qJvqK/6DP6jb6j/+jD/rXuC//GWvcFytf0N31+ue+vZ7u4 BsV/vfUhXvjlR/3Hrsjjvhs49sN10O9//w3++Iff4dz/fo0zqc3oHiT12aSl 2CH1Wu0cO5x5XLR4cAFeGGmJ5x9agONjZ0r8Y7Fn/mPYUTQX+bmiR9piVMVb 4UDcBvxyljfO3jkHJ8bYSj1nhzfH2eKNR6xx6tElyFkRjuraAnSm+SOgIBid bnZ40U9yXZ0VeoPc0OKxFHtnTcNe+zFo9RyP3XNm4cjsmWi1nYYm/hvzzARU TbVG9/Q56Ll/EZrH2sK0NQ3FoZVoWNuE5qXZOL24Eh0PmvDCbYk4fEscTtwQ gOO3haDkwVTxaTRO/kJqgNuj1HOOk7eFo25YKnqHxapnIaxV+FyEz0TS5kVh /fIEpD8djxM39b+b69iNEchZHICdD4Xi8M3hSLJcpfb8nr3YX53ndbw+4+k4 dT/bYXtsl+2zH/bHftk/cRAPcREfcRIvcRM/42A8jIvxMU7Gy7i5rgl5IB/k hfw0Ck/ki7yRP/JIPskr+SXP5Ju8k3+lg+hBXagPdaJe1I36UUfqSV2pL3Wm 3tSd+u8VH9AP9AX9QZ/QL/QN/UMf0U/0Ff1Fn9Fv9N0P+vmST7+77Fj/z/Q3 fX65769v+07lbv/73e/wfmsk3raqUWOKflJeeHGd+2VN+MKyE2/7FOMVzUa8 EhKHjzhOSXLOCw71kpPuwKd2O/CmTRWOWeVgzzwtuuel4phFCt600+AzNwN+ 423E7zx0+GRNBl7cXokDUQ3YW74cH3tl4g+rY/FBkis+XZ6P5+yM6J1vwide WXjfPR0f+pjxycp0fLwiC1+uzsKnzvK3eKoZO1c24mBYB55fX4j3Vmrwqw0Z aGrSoK5FaurwNFQei4L53RAcjzXhQJr8W9BgxGnPHWicWoTumCC8uKZG/gZ3 YO8jdTj9ZCPeW9KM31vsxCuJWtQUFuNXzsfx5bI2HHXWodzDCR0eUqs51cqx TqkVGvG1/E3vs+5CzOyDUpdIfWRbicrgGWr/rXyPmXMIfcu61HWfqvVTOtX9 bIftsV22z37YH/tl/8RBPMRFfMTZHR2kcBM/42A8jIvxMU7Gy7gZP3kgH+SF /JAn8kXeyB95JJ/klfySZ/JN3sn/r5NclB7UhfpQJ+pF3agfdaSe1JX6Umfq Td2pP31AP9AX9Ad9Qr/QN/QPfUQ//dQamh/6+W2rWuVv+vy7H/m8/l+98f8g /sSxnwLtxMtdyPB5AFllDkg4Pg9Be8dhQ89TWNfZvw7LxqvXue+YhE0d0xDR txKxbfHQRkndas31U+5FjuNItWaIxnq05NWjoV0sdcuiB5C9aCTyLEaj0PJh FFmNRu6S+1Ao3/PmzEOm5RKYrSYg1uoRmBePQ5GHA/TOdiibPRkNXstRs3YT ihdOhd5mFsqWL0WR/QSkO9+HiuWj0OQ1HE1Od6DW9jZU2A9GjcNdqLa7HbU+ Y5HVuQ0xu2fAsHc6EprckXrEFTnN7ij2fkitV19jdxca7G+DVuqSjev90GL3 C5S43Av3su1qz++bfP2g956FeofbUCvX8z7ez3bYHttl++yH/bFf9k8cxENc xEecxEvcxM84GA/jYnyMk/EybsZvthzXz4fwQn7IE/nKtbpP8UceySd5Jb/k mXyTd/JPHagHdaE+1Il6UTfqd/m69tRXrbcjelN36k8fZJU6KF/QH/QJ/fLj xv/+q7f++onjY/I6jQjblgVTSPFV+d61H43khTq17n0hdNuLoN+Wj8LIdjTN bkb74BSUjElG54Rt2DF+G/pmOeHIkzY4OGMhTj0t/84+Ph8VjiuQneGFMpML ijPcUJLuivxMB9SXbMMh5zV4duwcHH3SAkcmLcLRyYtwaOJiHIrcgpJsR5RI zlue4YiCXA9UFfqgMX8tynPWIyt7DXIMy9GatR5Hyrahq3gbUg1BiI2X/CzN Aq+mOuFEhDdSUlwRGT0Du5yexPMOs5HfGodtpakILMhBkqYCuREFKEregW2x OjStqUbBU7uwf2g2uu7MQceNRnTdrMeuQXqpD3ToGljjRK0PeYcBJU+kqecn hsVJaBmu7a8zeH6QCaVPpKo177mGfceINOxa6Kz2PbcZ1XGuEcl1V3g97+P9 bIftsd3v1480qH7ZP3F0Ew9xCT7iJF7iJn7GwXgYF+NjnAUS71mJu0PiJw+p yW6KF/JDnmLj3RVv5I88kk/ySn7JM/km7+SfOlAP6kJ9qBP1UrqJftSRelJX 6kudqTd1p/70Af1AX9Af9An9Qt/QP/QR/URf0V/0mfKbWgcyX/nw73mVfqav 6W/6/M8/8d+Vi+PCzv/mtzj1X+/hf/74//DnP/+tZzQD9cvAc5jLD//2vd+h 74lcHL4pGL3Dg9Dz2DpkPuWPhtlOOPPoIrzwyGy8+PA8vHHPfDQt8EF5qiNK M+egPP9p5JU+heKcqWguWIVTFj54aegcvPjgQjz74Dw8P3I2Tj68CDWJYWjW 2qIuzhoZWV5o07igLM8OLUVWaEtaj6oUH9TEeGBPwiqcNW3CMY0fTPHrkRs7 Fqe2TcO72+3x4hZPpPu7QOP3NBo9p6DT1hL5lbHw3ZGMda3ZSE4rgD7ahIL0 OmR452PP0iroLetx/N5kPHdDnFoz/sQNwVJbcC3HELSOTETtA8k4e0MoTsqx 0omx2OyRgiSLeLU+5LM3hKk64/hNkdg5OkT+XvurdxXvGxyG5IWr1Z7fc622 of2h7eo6Pkvhfbyf7WyS9sqk3VPSPvthf+yX/RMH8RAX8REn8RI38TMOxsO4 GB/jZLyMm/GTB/JBXsgPeSJf5I38kUfySV7JL3km3+Sd/KeLDtSDulAf6kS9 qBv1o47Uk7pSX+pMvZXuon+j+IB+oC/oD/qEfqFv6B/6iH6ir+ivyy3e/xzw 2vrk6o1+pq/pb/r8usaBXWP/i+PCXvx548Iu/9jV49ySNny0tB2/CkjBf6Vt wlu+ku9a9OJjyck/8crGeR8DvpXPV5LTfiz58QvLdDgwT4PuZ1Jx1CIVu9cU YF9MndSRdXiz3R4n8hPxknsLOkxSr7aLB3U70autQ/qGSpwJrsarG0rx2hrJ 5X2K8N6KAuxfW45w60bs21iKlzdV4PVNRXjJrxInIxtxNKkRJ+OacDKxCQcN LdhnbsbhxEI8tyUXLSX52NJhgk/eViTXbIbuVAh6zAYcCU9HdaEJDb6V2PV0 EVqXNqBt+xG8LHiety9AxWp7VK1wxcsOxfhmaQ/OWzfhE5tGfCb59jmnRoTP PIozdpxLL/WK/UC9Int+5/HwWUfVdbye9/F+tsP22C7bZz/sr1X6Zf/EUS94 iIv4iJN4k2u2wDt3q4qjVeJhXIyPcTJexs34FQ/CB3khP+SJfIUvbVT8kUfy SV7JL3km3+T9kK5d6UA9qAv1oU4v+tVjr+hG/agj9aSu1Jc6U2/qTv3pA+UH 8QX9QZ/QL/QN/UMf/RwfXjkO7MUr/P7vuvX//v8Z+3tMyJh7Mxoi5iH5gK3k 36MR1DcRG/oG8tj2qVjfMRmbJS8PFt5DOzZgS7M1onqtEHImANGif+ZSS5Qu c0H1Cl+Ue61BvqMz8i3mo3rqONRMHo3KJx5A2aQRqJs0AYWPzkDjlCkofXIs Kmc/gUybeSj3tEaNlwtqVnii2dcL7Vt90LXOHY32c7Bv6n04ZD0HptVbobPw QLy1A2osl2L35PEwPzMG1Z4zsc/hEVRa34Gdi0fghIsHCvfGILbJFqXPpaHj eS8Ux09H2eLBaFx2O6rsh6LWfgiqPIZjxertyPGaggabW1Dudj8CdiarfcOy W9TxlauCUS3XqevlPt7Pdthex/Peqn32w/5OuHiq/omDeIiL+IiTeIlbK/hN q7aoeBhXo/1cFSfjZdyMv8bbRfFBXsgPeSJf5I38kUfySV7JL3km3+Sd/FOH DNEjRnQJFX2o01bRK0x0o37UkXpSV6Wv6Ey9qTv1pw/oB/qC/vhb74D8d9gu jQu78EtEDIwL0/+IPPDaZzDZMIZ3oHx0KXpv06JjSBaah2Wic5gJtcPT0Twx GK2Pb0PLFFv0+IUiu3wVyjKtUWFmHuuMMrMLCs2OKMr3R7vtKpwZvwDHnl4i Oe8C7PLdhPziVSiS/Di5wBe56Z6oMDmgyCjXm+xRYmTeLJ9MJxRzLRejuxz3 RHW6G6oyPVCdswJ1+atRUugLfd5aZGS7Yme2G85WbUWdoQol8ne1aW0cYldI 3ZKbCkN9GvLbjCg1liFBm4bU6nJsMXShc9UuNLi2onW8Ea2jstByuxl9txpR 8agGsW6xiHWORy3Hdv3CpOafqOchnG8yxCjnE1HxmEbVLlfUK/K9/37591Ku 23V3/7MU3s922B7bZfu8jv2xX/ZPHMRDXMRHnMRL3MRvaEhT8cQuT1XxlWyt VPEy7rYsN2QKD+SDvNQKP+RJ8SW8kT/ySD7Jq+J3gG/yTv6pA/WgLtSHOlEv 6kb9qCP1pK7UlzpTb+qeXb4S3eID+oG+oD/oE/qFvqF/6CP6ib6iv659dvK3 P/qBcWD0Nf19ud9/2u/K9+PC9p36flzYdbUxUOP8+vVv0HRnEk7eFC65dCwO 3h6NxvsTYR6jQdPjm3Dk/pU48JAFDi8PQh3XaIqRXDfWAU2Jy1CavhAVWU8h vc4WuxwscPTxSXhuzHy8Mnwu8nyjkJu7Hp1RS5BS5gtt+krsilyG5vilyCyb gIY4G7TG2mJHgvytSrBBQ5Q9ijWLkZ8/FeUG0SLFG7s0y7FDsxrlmhWoTrLH gXh7vG5agz2xGehcLx71DEC2YziCTdnwbzUhri4Xyekl2FSsR2pNMTakNaHK rxEtXlXoHRmLvfckYs8vYtA0VIPmhyOxxSUe2+TT9kCU1BUROHZz//iwI5xH cksEcqyCsete1jWR2DcoDCmsV2TP7zyesyRYXXdkYM4M72c7bM9f2mX77If9 sV/2TxzEQ1zER5zES9zEzzgYD+NifLskTsbLuBk/eSAf5IX8kCfyRd7IH3kk n+SV/JJn8k3eyT91oB67RBfqQ52oF3WjftSRelJX6kudqTd1rxX9D4kP6Af6 gv6gT+gX+ob+oY/oJ/rqcp/92O2ij+nrnzoO7Ort8nFhb/zMcWEXP59yjrPk 3Z8v7sD7zvV4JTEQLxjW4sNVOlxwysJ5dwM+9zD2j/nyNEoea8K3ngZ8tkb+ nq9vRdLWVuSuaEBqaiTywsNxxL8RHwaW4EOpNZ/fnij3Sc2zyoADiyS/5fyQ lUZ8467B71YbsXdLCXTe5Xh5fTa+XWHAb7x0+Ir7VXp8tVKPC/L5XO79eKUJ H3mn4wPXLHzklIsvvDNwap7UANu241CbDw7HVOOQXylOrspEl/Td1hqGUw3b UKjLwcpGAzYYgpGRMA31Pg541laDr+3bcMGxFe/ateDXDq1qDvvvJOfmminp C/fjvx3r8al1Cz4YqFe453ce53lex+t5H+9nO2yP7bJ99pORMF31y/6Jg3iI i/iIk3gV7tblqPfbLvEUqrgYn4pT4mXcjJ88kA/FywBP5Iu8kT/ySD7JK/kl z+SbvJN/6kA9qMuRbY1Kp9TUCKUb9SsTHakndaW+1Jl6U3fqTx98IH6gL+gP +oR+oW/on59VMw+MA3vj32wc2N/b1NLj8vv8R9nv3J2Jsnk3IN33aYTutkN8 z8OI6hmL4D1PYG3fk9jeNQdrKjzg1xyAyM61COlZh02VlvDfsxLR+x2wfZfU ERG2SLN6GHl2D6HA6RHkOoxGuiPHgd0PvfMYyakXIcfODgVeU5HnMRIFq+6X GuVeNLjdiza3YdjpfA9aHe9Bg91wVFkPQ8nSuyT3vgvFtiNQYDcWJc7PoNzb GmYXa0RbPoOkqWNRNOFhdEydgu6ZFkha6IqwiFAUVaxHwq4ArC4MR/gub+Qc lX8D85eiyFryfPvhaHAaikrnOxDp6YSA5atQ43IHapYNRrX7/cjbb1D7GuvB cnwQ/OV8hKezul7dJ/ezHbaXLe2yffaT0Bmg+mX/xEE8xEV8xEm8xF3uvVTi mKXiYVyMj3EyXsbN+BUPwgd5IT/kSfElvJE/8kg+ySv5Jc/km7yTf+pAPahL gOizUXQKFb2o29YdAUpH6kldqS91pt7UnfrTB/TDHwf88e/4VOXq7dK4sFcG xoWFXDsu7O9+guX6iAI0bOlE9zCus66Rj17l3T138b1VOWi7qxBtg9KwR3Ls uAITNEkRiMrbjLxcd2RnuaI4xw5VGcuQl7kVrVY+OD16LnbZr0ZbwSYUS35c l2GNkOwAbNVmQFu0HPnpXsgx+qj36FRkOqDK6CV5tA/K5XhputQs6S4oMkv9 YnZCoclRtVEuH+bOeWZ3FGYuQWxkDlpuqEbnTUaUPB2Cgola7HyoAPseysCe +5JhmJAFX59ylPoX4ln/SjSsz0F8tBbeGe0IX16BxKU6JHjEX3oG0j2kf76+ Gic2TGqO24wwzU2CfrHkTFJ/qBpmuEbVK9yrcWRyXGeVBKNcx+vVuvRD++fL s72Lz27YD/tjv+yfOIjnjOAiPuIkXuImfsbBeBhX141SY0mccZHZKm7GXyo8 kA/yQn4UT8IXeSN/5JF8Kl6FX/JMvsk7+acOITkBShe2QZ2oF3WjftSRelJX 6kudqTd1p/573VqVH+gL+oM+oV+Ub8Q/9BH9RF8pf11XvVKgfPxzx4FdvV0c H/Py2x/8lXFhf3/7bmBe5OvmE9jP//u/PVzNoTh5UxgODYpG5b2i90i+n247 XlhajAKN+Ct0K/JTV6Eh2VlyYa7xJ3wnWqLAvAKtyxbgwOQRKN5gg7zWldgR b4FdkieHa0MRp9eiOtUF1QluKMydjVqtFVqYV8fboSXaVerHRcgvmIqqREe0 xEg9JHl2Y6yN5MrLJO9ehpY4e9THO6E+yRLZW9IEbypOC+b9NybgwM0p6Lxf h/onDDg1YrvUlgkItzOgJkiPPRGlKF6VjoSIZDjVtsNvQzlWW2Vio1sKKh+P wSm+a+zGcDXH/cit/WvL8/lJ1eRgVM4Iwokb+ueX7L+jv17hnt/5PrCKmcFy 3XZ1/eGB+9nOSfUsJ0y1z37YH/tl/8RBPMRFfMRJvMRN/IyD8TAuFd8NKciR eBk34ycP5IO8kB/yRL7IG/kjj+RT8Sr8kmfyTd7JP3WIED12xS1V+lCnYl8b pRv1o47Uk7pSX+pMvak79acP6Af6gv6gT+gX+ob+oY/op8v99aM9fdk4MPr6 cp//vO3ycWHhP39c2NVjxCQn/8SpEu+G+OHVTGu8E7kJn7nk4EuXDJzzktrB w4TfuGrx1qYc9AY34+jWWrzrX4U3AmNwNnc+TlpocWhaAnbN0omWtvi1ayw+ dzXjDytMOGWlwxkrLX7nrsM7WwtRG9SAbPt8fOqhx7fu0rYbc2STypO/cPv+ c869P2c+52bA116y90lD71OZ2L9uFT4omovzDln4xsGAb12l1nEz439k/1uP DLwQ2oGD8unb6opczTD4pznhjCYcL697Fmd8DmBv3FHsizuB3XGn8PzmvXjb uRUBM4/gXYcdkj9L/bbsynqF33n8XYcW+M88iredWtV9vJ/tsD22+/K6Mzij DYe/xgm5acOwW/onDuIhrv8ZwEm8xE38v5Y4GA/jOuej6Y9T4lVxX8WH4kd4 Il/kjfyRR/JJXskveSbf5J38UwfqQV2oD3WiXtTtPdGPOlJP6kp9WadQb+pO /d+J2qT8QF/QH1+IT35unXzlOLAa5ef//cu/7ziwv7oN/Bt4+FgWTK4jYFj5 OGL32SGm+1H5PIKU/fOgrZTcvmgZ/HudsWnndGztmYlN3ZPh2/E41rVPxMau idiy3wIB+V5It35Y8ub71FwNk919yHWRf0tsJFd3mYF657tRZS/1gf2dqLK9 E5V2kqvbDkGljXxkz59r7aR2cL4ThW4jYHYdBY3k5Dr7keodWTo7zu8fhgzO Ibe+H1rP8UiJdYChXgvjvnAEHZmJWMFsPJaAsj0JyD/khLDqJ1B+uhhdvhvR 7WqHnU4zYXCcgA0rgqX9R1HjeKeqV+o87kfvCYPa8zuPm10fw4aVwer6nY4z 0e1mp9phe2yX7bMf49EE6fdhBB2VtgUH8RAX8RGnwiu4iV/FIfEwLsbHOBkv 41ZcDPChflb83NnPl/BG/sgj+cwRXskveSbf5J38UwfqQV2oD3VSeolu1I86 Uk/qSn2pM/Wm7tSfPrjcF/8Z28C4sD//D/K6fvy4sGueswTmwxhbgUz3TrTc rr80x6ND8s9dknv33C11yy0ZqFtSDlNEBZL9KySPKEJKaCGCNEYYdJGINAci p9gdGaZt4hlPtGo3IjfbEVk5Hkg2+yPGEIPQok0wl7ohUXLftbocROjkXn0U 8vPdUSZ5NfPt4r/zKUl3Q0mWNarTclE5xYyip/zQ9nCS1AaSMw+RmmWwHh1D TOi9IwuHbzKj90Y9Wm+UOuMGI+qkpkixSEKA5MLBWw1oHyQ1xx2mK+aYdAzt f0bSOkLqi5VRaBmuQxefudxlvLJeke88vkPOh8l1vF49m7l6boy0z37YH/tl /8RBPMRFfAqn4CVu4mccjKf1kSQUT/FDlcTJeBl3scT/9zgij+STvJJf8ky+ yTv5pw7Ug7pQH+pEvagb9aOO1JO6Ul/qTL2puymyAvXig75bM8QXRuUP5ZOB uTn0D31EP9FX1+vFS+PAxM/09U8dB3bNb8qlcWHf4vTLP2Zc2A/+uuG7/x34 /+yww9jNcVN3RKk54Udvkbrl1lB0DI9H8XAtym2zUBegR9kaPQr9NCiWHNoc GY2K6K3IjdmIBq0z6sOlvrf2QmpOIIoLpyOnZDoMZUuwoWGLaLMclUYHlEZv Rmi6H+KyNqAqYhNqE6SGyZqFotJJqJP8uCXOAc0JdmiOt7/msyPeEc2JVuiM TcKeYZLj/SIUZ27Zjra745D1gL7/2ciNXBM+HC+odx5z3nownpX9gVvDkGAR A6fQFKxal46ieyU/uSVSaoz+eSaqVrm1f+79/kHhyHDcigN3hKvv6tjl9crA MZ7ndbxezbG/bA4/22X77GfV2nQ4S7/snzieHcBFfC+ode7DFW7exzgYD+Ni fHslTsbLuFX8P8AL+SJv5I88ks864ZX8xgrP5Ju8k3/qQD30ogv1oU6p2YFK N+pHHakndaW+1Jl6U3fqX26brfxAX9Af9Anjpm/oH/pIWYu+uk6bXxwHRj/T 1z9rHNg1Xr9sXFjyZny8uPunz3Ee+HwuefgnNi340KsA573TJIfOxac+RryR uBKvSZ76/oYEnHPMxzduOryyoQR7w3bg3Q3Z+I23TvJpOZZhg49XSP4s+bh6 RuCegJZkO3TPk7+zc1JwTPLj0wtTsG+BXJtYi8at1dix2IALzlpckBpI5cd/ 48PzX3ub8b6LBu2TsnBiiy8+qZ6Jz9yy8QXv5/wL2V9w0+Bj3zzsi+7EzpBo tG0cjz0rHdBkjsTG+Brs0jaiuzYMb3rswwfWbfjche8/a8DZjUcQa38KlRZ9 +NapSc1N+XzZjqvqlR3qOM/zuli7U+o+3s922N6bnvtU++yH/bFf9t+2YbzC Q1zER5yfDeDmXHfGwXgYF+NjnIz3x/BC/sgj+SSv5Jc8k2/yTv675xuUHtSF +lAn6kXdqB91pJ57w5qVvl+7aZXe1J36v5G0QvmBvqA/PhKf0C/0zc/ynRoH 1q18/M2XL13h7/+U7buB/0Pg9tZX76AkbhHSw2Yhee9UBLdPh67WCfquGQg5 /CQ27H4C6zo5PuwpyYefxvpd07C+k+9CnoYNuyQ/PjgPme0rUOR6P3LcHkCb 41w02s5Fi+N9qOPcDsnBq+2HotKh/1Mln2o7ycclJ6+Tc6wRClyGw+TMdx4/ DL3Dw5KTPwjDsgeQbiW5voX87PwEYvwXIbrAFpq+9Ug86IeIA1aI7x6OmP0P I2q3P3ZuXIUm5yWobQqE/uAMhHe4o9V7HKrchyNr/gyEegdiu7v8jXa6W73P uHrZENR73Iczp2LUnt95vNhpmLouzNNf3cf7W33GIXyXh2q3rjlQ9cP+Inv9 Vf/EQTzERXzESbzETfyMg/EwLsbHOBkv42b8igfhg7xUOXzPFXkjf+SRfJJX 8kueyTd5J//UgXpQF+qjdFJzVKYq/agj9aSu1Jc6U2/qTv2VJ/7y7zGf/nq2 K8eFhf2kcWGcW5AWmIuM2Hp0zmtEzy9SJQ/9/j1afGdV8z05iF7XDXNwEYxy vU49mymEMbAYmoAKxIWVSl6bi/jEHOQVdSKzwB/BuQGIjC1ARFgltNsqUWN2 QoXRSfbuKMxagRRDBMLjcxGYlINU4xZUmqVmMbv91bqlKEPqZIMHCnOcsLY5 DHmrC9A5KBW9d+ZJrsx3FPfXVt1Ds9A+zIydI/TqPVycP1IxSfIfzwSkz0iA 2dkMrVsV9tykRfvwq98Vpu9/brI0GWb5G7x7YC7LrqvqFX5Xz2HkvHl2CgxW icKb6dIzmosfts9+2B/7Zf/EQTzERXzESbzETfzEwHh6huSha1CaipPxMm7G Tx7+Wp1C/sgj+SSv5Jc8k2/y3s+/k+hRpXShPtSJelE36kcdqSd1pb5aNd+p UOlO/emD5uE5yheXYhW/9NyWpvxDH9FP9NVPGwcW9g8ZB3bt78pl48JO/7Rx YerPw1++wx9lf2RGAY7dEICjt0ddyt9P3RyCvsGJCN7WiIikbOQH6VC7IQUV G9NQuUGLMl8DCrfqULopCXmRydBU9KLGuBk5sRuRHaSF0d+ALZlG1BY+hbzi SajNnI70vAXIEc1MW7KgSw1CVsVctMbaoynOEU0JP5CPX6xX4uzRmLgM2ckx 6J5Rgedu8EfjiBSkj0oXzJFqbvvF9xnvHxSJE1JDnJZjlROisMUzFdppsTB5 6qD3LsaeW6OQ9YgRR+8YuE89WwlXz03KntmO6snBl56bHJW648p6JVIdPyXn eV35rGC1TgrvV7m7tMd22T77YX/sl/0TB/EQ14lb+nFefJ+xuk/iYDyMi/Ex TsbLuBn/X+OGvJE/8kg+ySv5zRWeyTd5V/yLDlsyTaKLXulDnagXdaN+1JF6 UlfqS52pN3Wn/vRB3+Ak5YuL9Rn9Qt/QP38c8NN11yoXx4HxfWC//seMA7vG 6pfGhVXhdZ/4nz8ubFkzPnKuxuf8f313E8556nGe478c+Q6vWLyavRRvxa/A a5uL0LltN85vMOI3knN/al+I19Id8H7kJpx3zsbnct+Xzhnq/+3PxXrjK9d8 fOyqw+vWqWixz0aMUwVKluSiaXI8fu0gefJyk+TlJnzp1Z9/q2cHV+XkPPa1 jwn/ZZeGjiey8IrfVnxQNUdy/Aycd5OcXu4976LD1156vObfgrroctSFzkZN 8JPoiNDiWNRuZJfEo8KmGl9ZdOO9zal4Q7MOnyzpxCdLm/GNbR16l+7D2vFn sDfmBA5tP4aPPVtwzvrKeoXfeZzn98acVNfzPt7Pdtge22X77Kdc+mO/7L8j XKvwEBfxESfxErfC72ZW8TCuV/z8VJyMl3Ez/iv4GOCEP5M38kceySd5Jb/k mXyTd/JPHagHdaE+1Il6UTfqRx2pJ3Wlvq+LztSbulN/+oB+oC/oD/qEfqFv fu44MPqXPr7c1/+R28Dz0z/I59irfUjZm4iYlhWIOD4dfgcfQciexxB0bBJW S56+6eAUOfYkgvZMwtZu+Xn/ZEQdmIiIjkcQe2QcWlrWY4+11AvLxqHJYRAq 7QapOe5Vl9UqF3PwWsnNayVPL3IfAbPbKBjsRkJv/QDM1vfDtHAYUq3HwOAx EdFh1kgttENorxOST85D0iFnRHQ6QNs9GXEdj0FzzBnJ7UZoF7lgp9X9qLMZ jEqn4SjrsEZa7lTk2d8Dk8N9iF84DX6zvFDs4oFmVxt02z+IKpvb0OA2DH0H V6g9v/M4zxfJdVuf8Ub8omnqfrbD9kqlXbbPftif1sJF+jcoHMSjE1yRgo84 iZe4iZ9xMB7GxfgYJ+Nl3IyfPJAP8lJ9FV/kjzyST/JKfskz+Sbv5J86UA/q Qn2oE/WibtSPOlJP6kp9U/YlKb3/cJUP/hO3a94X9lPGhancMhc5Me0ofbwS nXfI3+2BmqVjiBbdD+SjImY/tIH5MPmVwRxYAl1IUf/c6dB8GIMKoJFjiYlN yJgbgcyQQORxzkmOO2LMUj/rIpFUuhGlmSuRm+2BimxbVGdYIy/HEVqTPzbp TIjPXYuqrGUoNXPehavk366X8nDOoSg3eiE330H8NReRuWbxSgs6bpf6Yng2 2gVn91Az9t6ViW7J/S/NIxmlk7+rCYhzi0HlmDS032RAsa4eLWNz0DlYd837 wnoHGVH+WBpi3BOxa4jh+/M/UK/0v59Yzg0xIs41Ud2n5tZf9T4w9sP+inV1 qn/iIB7iIr6L82aIm/i5Rgvj2S1xMT7GyXgZN+MnD+Sj6FKd4qr4Im/kLz53 neJTJ7ySX/JMvsl7acZKpQP1oC7UhzpRL+pG/agj9aSu/e9oKFJ6U3dtYIHy Af1AX/SPfzMqv5SOr1D+oY+011mr/LPGgV29/UPGhak2vsO5t75By2iz5OMh OHJbZH/NcnMojt8ltWhAE7ICUxEeV4Dk6CyUbU1DteSxZZJnVG6QnFby2lCt 1HbPRKB+zWbUan3QkGgPvdkfaQkxKNSuQH2yA3KzLFCXK3lz2QOozZ+IrOrp SImLQm7SauyKW4YWybc55knl31fl5C3xdqhKFI+EmHDAKgsNQxKR/ZAJRwdy /cO3XjmPZOcD0QgUT251iUPDI1x/MRTpGXXoGc2xZNuxc1g88kbqVW3B8Uyc O99xH+elBOHIzf3zUlQ+/gP1Co+r83Jd7pJAdNwbqu5nO2yP7bJ99sP+MqRf 9k8cxENcxHf5vJlLtY78zLgYH+NkvIyb8V9RowzUKeSLvJE/8kg+ySv5Jc/k m7yTf+pAPahLg9xLnagXdaN+taoOTRNdU/r1FZ2pN3Wn/vQB/UBfKA7EJ/RL i+Clf77303V4+J82DuzqbWBc2F/6x4W98zPGhX0uH7WeilcmznsYrvw/fC8d Lrhk4lPnHLyX6IuKHVvwbHI8vrTPwgWnXLwb7YuXk1bgnF2RGj/0heSzX9nn 4lepnnguwR/f2GXi3HIDXgkrx3OJzWifpUHrpEQ8Z6lDz9w07Jkt/l2ixbuO kj9L7v2N5N5fMX/nswP3/j3nfZ+2SEXHtCy8ERCEXxZa4lP3dMmfzSrv5vil c2uL0BVZh8IkHxSGzUBzZCwOxXTgnY01OJRsREme1A2PN+GcYx0+X9SFN/21 eFW/Hh9Y7cLXbs2Im38AvS7d+Na1Hr9a3oEDAcdx3qZZ6pSqgXqlSn3ncZ7/ 1rUBPXJ9rNzH+9kO22O7bJ/9sD/2ezjF2I9D8BAX8REn8RK3Gn+l6kOziovx MU7Ge0riZvxX8DHAE/kib+SPPJJP8to6ORHtz2gU3+Sd/FMH6kFdqA91ol7U jfpRR+pJXakvdabe1J360weX+4I+oV/om89/xjiwd/6Tx4H9wMb31EIt9/cn pDTGI7Q0CYFtzthyYBnWH50H374n4NP7JIIPTkBsz2hEdz2GmO6xiO0ah6jO xxC7eyLMrUuRuG85ymt8UGpzp+TX3z9TqXAahkrn/k+141A02N6OUschyHS8 D+mLR0A37x4k24xFhucTCNswC7osd0SWWyHxmCeiDk5DtOTbab1SF+10gKHD Egm7n4GmbSHijvhC1xqD/KU2qJs3BfUektvbSb5vdRvqVz6C7GZ/pFg9gGLb +xHuvgGli+cj2/khdLiMRfv86VIH3IcCr1HQ7nhS7fm9ff4MdZ7XFS5diFCP Dep+tsP22C7bZz/sj/3mWy9TOIiHuIiPOCPaHRRu4mccjIdxMT7GyXgZN+Mn D+SDvJAf8nSRM8XfxWctwiv5Jc/km7yTf6WD6EFdqA91ol7UjfpRx62iJ3UN E31TmuKV3kr37/6D6221/WPGhWmDCpESmocivw703pOFrju1ah55+xAdDtyf hbaonUiUXNS4vRSZW0ug9y+DQXJZfWApYiSvTSvQoW+VL86Om4ETk5aiMSYI JQUeqDbYI7vMGymxBUgILcZ2Ywq0aVGIyPaTfNoDBdkOyC+wQXqZOxLTw2DI XonibHuUZ9qiOMMR5SY3FJpWwFS1BOaeCQjNCkdSQAnyQzqx+94cqVMy0Tk0 Q+oEwSx4e/iernt00FsmIcozEcWTNOiWOmLPjQYUWWZAl1SHttszpNbQ9tcj d38/76TndgPiXWNQOiFVjclSzzr+Rr1yccxX8cT+GoT3X3rGMtA2+2F/7Jf9 EwfxEBfxESfxEjfx77o7S8XDuBgf42S8oZnhKn7yQD7Ii+KHPAlf5I38kUfy mS+8kl/yTL7JO/mnDtSDulAf6kS9qBv1o47Uk7rqqa/oTL2pO/WnD+gH+oL+ oE/olyK/duUfPo/5dxkHds1vyj9iXJhsfxkYF/Zmy+vYd4Pwd1u45OOROHRz GJ67Mx4HA8pQsiER1VvSkBaWifD4fJhDjajdoEWJbxLS8jRoWu2HX42YgrMj LdG11R9tKY7I1DvDVO2O8m3xKNisQ25kGIoCY5Cea4Hy5pGozHhGcuvHkVc9 DXrWn2nOklfbYmeMneTgDtgR5yA5uZ3k5vJz0jLkx/ihfGOytNOC0kezJFcO VWOx1BqLt158T1cYEi3isdEjVXwfh5M3cb36UFTPT0GstlZqihi5NhwnJbad d8chb5QBhwdH4eQN4cix2oaOUcE4fmMUDv8i/G/WKzx/4ka+R2y73OevxnWx HbbHdk+qdV/CVX/sl/0TB/EQF/ElqveShSnchwfmv/SPNwtFicTHOCsk3oJY PxU/eSAf5KVFzYO3U3yRN/JHHskneSW/5Jl8k3fyTx2oB3WhPtSJelE36kcd qWeN6Ep9qTP1pu7Unz6gH+gL+oM+oV/om8t9dD3bP3Uc2NXbpXFhL10aF3b9 7wvje6524COXSnzB/NXDdM2Yoy8kL2ZO/ark3LvDa/FWhh1eT/HEm5sT8KbZ Hl948zq9uvaC7D9yy8M78V74jXcsPl2Thd0RLXg1uBwvWiajfmIynrfR4fcr +8c6veOgx8nFGvTNSUPvnFScsNDgl3LsM8nNv10uObmPEQfmpuLArHS8Ee6P l/Xu+MQ9A+fczJLfa/DfHll4aWsd8pOjkWKagQLNWuyLqcc7W6tx3luLr13T 0SA5RVtAPk6Na8R5Z6nN7GtxbkEnfrXFhM80W9Cy5DASpp3Bbx13qPUPf2Nd g6NbD+GN1b34ZFk5ykNmqj2/8zjPf7J4B37r1IKE6WewY+lh1Q7bY7tsn/2w P/bL/omDeIiL+IiTeImb+BkH42FcjO9lvRtel3gZN+MnD98IH+SF/JAn8kXe yB95JJ/klfySZ/JN3sk/daAe1IX6XBjQi7pRP+pIPakr9aXO1Ju6f+H1Q2PR TMov9A39o3x0Hb774v/AOLAf2vrz1e9w+v19CGtajJRcG+gsRyM2YCESjU5Y V++J+D4XePXNR+ip+Yjbz7W8H0Z49wNI6n4CQR3uiO9egoSuhxB6ZBoyUixQ a3k76m2GoHHJ7ahb/AtULLoVlRZSp9jeA53348jymQyt+1j4JbuhrNAe/sWL kHRiJRL2T0f40ZlIODAWYZ0PILH7UcR1LETqLnfo+myQ1GUHbZsNkk94Yl2+ FwwOY1AwZSYaHMej2u4O1NoNRb3tICT7TcOmwy7YkuuMKAfJ011WI1vqDpPj PSiRnL8mdC1S2zYirs0Fxo7Jap/atkmOr0OJ7RB1XY7tAwh0Xi33W6t22B7b Zfvsh/2xX/ZPHMSTIriIL1FwEi9xEz/jYDyMS8UncTJexs34yQP5IC/khzyR L/JG/sgj+SSv5Jc8k2/yTv6pA/WgLtSHOlEv6kb9qCP1pK7UN6zJUumNgXV6 /tO3f8S4MDWXJagAGTGSa63qQaPk1J18D++detQ8lANDUOml5zZGyS/1gWXQ bWtETEIWjKXb0BC2AUfHLsKxp5bg+ORFODPJBgcTY1CX74PI9K1IDCuBgWPI JPdODahAQngRUsIKEZCWDqMuApGmEGyKL0ZsVCGCtXokG7YjP32V5N3uyGqf DH31XJjyvBAXlQ+d4MyNqEXtmFL03GZG7zDJ7aVu6LrDiKxpGkT6xMK4MFGt g9JzR/88i7ZfGJCaVoI6zx3Yc7PUEpJjs27oU+85NqHvthyUPKlDtFM8um/n GKfLnpP8lXqlfyyUQV0fI/eVTNapdlR7fG/xYKPqh/2xX/ZPHGpe0B39674Q J/ESN/EzDsbTK3ExPsbJeBk34ycP5IO8kB/yRL7I20bhjzwahE/ySn7JM/km 7+SfOkSm+yldqA91ol7UjfpRR2PJNsSKrnrRlzobL9W/BcoH9AN9QX/QJ/QL fUP/XK/n/tnjwK79XRkYF/brnzEuDJwfzXu+w5n44+i+IQRH74jCsZvC0D0s EZUb9OpZSvnGNFRvTEGJvwbRkVKrp+iRX7QJpogQnBkxD2f5ftxRc/HCg5Z4 NjQA2QUrYUxYh+ItWlRtlPvXmZAZlICkjJXCbygyAzUojdkKc/J6RGlCoNVt RmzeKpgzXFCit0Fjsg12RjugPcYe1ckuKJZ79ZFmGJPK0fNgGo7dGIaDt0Xi zA0ROCV1QObUeKxbnoDU+dE4eHv/evVqTJfEEafJR51PpdQVQTgksR2UfPuU HO+Q2qKMv0/jw1G8kO8vDlPPOA4PrPv4g+PBBs7zGQvn1pfIfTvHhal22B7b Zfvsh/2xX/ZPHMTTv+5LuMJJvMRN/IyD8TCubonPIHEaJN7i4AQVP3kgH+SF /JAn8kXeyB95JJ/klfySZ/JN3sk/daAe1OWM6EOdqBd1o37UMb9oM0JSdEpf 6ky9qXv/szS98gN9QX/QJ/SLenbxE+rkf8U4sKu3y8eFvfGTxoXx/U7N+Ngz D+c9/kq9Isc4n+GkbyVelhrvNzY5eCd6M76ovQuvcT6+Uz4uSD5+zlOHL9xl vzwFZ0qW4qx/MQ5FNeLjLdk4NTsZh+Zr8K6zAftmp6pnA5xH/uXAs4ILkjN/ IOfOWmuxX3Lw3fPTcFQ+TVNScWiRGW+lrcPrcRvwmUc2zrvp8a2bAefWFouP NIjIsUOKbhV6I8rx3sZqfOVpwAXB+5WrAa/4FaKkKQ4nrOtwaEY9vrFuw/nF XfjCpRFvL6tDQ5YPfNf7YV90Et5dk4dPnKQWsWzH2557cXbFceGyHGXbZ6o9 v/M4z/M6Xr83Jgm+a/3QkOGDt23qVLtsn/2wP/bL/l8WHMSjcAk+4iTeFP0q ROTaqTgYD+NifIyT8TJuxt/0VCqOCR+756UpfsgT+SJv31wcT8fnL7Inv+SZ fJN38k8dqAd1oT5KJ9GLulE/6kg9qSv1pc7Um7p/8QOeoE/oF/qG/rmueuXS +8D+j4wDu2y7mK9++NYLSOuReqHbDmVeD6PIeQgyl9yNbO+xMK8ej03hNsjJ Xw5j1pPY3GIF/ZFwtO9PQvVBZ6T0Po7orscR0/UwTN3WKFg3BrGbJYeOsoTJ YI+GYlfsKlqA+Lwp8Gn1RtapldDvn4HA/ZJ3n5iBuL2PIqJzFKK6HkNUh9RC XY8itfdpxHa5Ib1rORJ7PZDc4Sz1yjQYztghKdkaqVb3Ic/qKVRMewYNbiNQ u2wQqt2Gwrx0OOKMUl/snY5NvfMQXFyChCAPmOweQq73OCRIjaA/6oKEhidR d9oePR+Vqz2/q+NyntcZ7UcjIdADwUVF0s5c1R7bZfvsh/01uI5Q/RMH8RCX wic4iTex11Pwr5A4XFU8jIvxMU7Gy7gZf4DwoN8/U3hZpfghT+SLvJE/8kg+ ySv5Jc/km7yTf+pAPagL9aFO1Iu6UT/qSD2pa4ToS52p9+X6/6dv/6hxYZrA XKTF1qBmcYvUAhrJnzUwLmiTfLka+qD+OdT64AIkbS9DbLIZJYXe2K8Jxpkn nXDySUucmGKFZ6fY4ORE+fdkki3O6LYgLTMOKX5S34QWXLEOjJbzYThHIqAc McE10GvCYSxzFR8lIDnVgJXFiVjXsgJ+1WuQm+mFSG0CDNsqJWeW+imuBh1L u7D7Rq0ah1UyIRXh7slIsU5Bywi+46t/3fr2YUbsGWRGxRPZyCtvQN1DFejh nPzhGeiRuqP3jnR0Dc1E/SgNklxi0fCgSc5ftc7j36hXeF23XN/woBmJrrHS Tppqj+2q9tmP9Md+2T9xEA9xER9xEi9xEz/jYDyMi/ExThWvxM34yYNf9WrF y8riJMUT+SJv5I88ks/+uSdXrntC/qkD9aAu1Ic6US/qRv2o435NkNI1Nsms dNYPvOeL+tMH9AN9QX/QJ/QLffPvOg7s6u0fMi5sYNrB7+XTM68ERyXPPnVj CCqnlyA/IF1yVclbN6ehYlMaSjbqUBQSBlOuOxKSk9A31QWvjJ6DF0YtkNx3 IZ4fOVfyYCs050eiOHU7ytboULZRL7l3KAzxASjwT0ROrB9KJf+t9NUhf0MG akICUaZ3QX6kHzTm1YjKXI+4EhdoC22Qn2WJvJgApIWWwBwm3g/OwKEFpVJb BOHMjf3rzPt6pCJiWTJ6h36/zjzXbjwhP+98NA6xdZXouF+HExITx12dukVq Bzl/cHAUMh/Twc85CSWPJmK31BsH+Ozg9jC5NgzHb75yvj2/8zjP8zpeX/JY oro/81Gdao/tsn32w/7Yb5z0TxzEQ1zER5zES9zEzzgYD+NifJUSJ+Nl3Iyf PJAP8hKV6QtN+mrFF3kjf+SRfJJX8kueyTd5J//UgXpQlxdEH+pEvagb9aOO CcmJMIuu1Jc6U2/qTv3zA6T96aXKF/QHfUK/fDfgn+vy7L9sHNjV2+XjwiLU e5bOXee4sI/tmvC5p/mvzunmXImvVujxkvxt+miFGRfsJb+NXY/3w7bizaiN eDVnCd73TcB5pzx86ZyOjzdF4/nMbegL7sFXq004MjsFR+YPzMWQ9rrmpuFj yd3Pe37f/rmBdyX/xsuE368y46yNFk0TUyX3Fp1Dpdb33IzTlln4wl6Lb73z cFT+nvlnbUBAodS7SSl4b30Vvpb7OY+dfXzmKTWNxFSvy5a/lxk4PqUXzy6p wtsb83B8SxiKAzdh53pfbHatxGbrZLwYGY/3AmJwzOyHd0JCcDYiCd3J+/CB ZylqA2aoPb/zOM/zOl7P+zbJ/VvcKtHm64siaff45jDVz3PSH/tl//X6bMGT rnARH3ESL3E3CP5AiSMgyxdHAnNUfJ9LnIyXcTN+8tAofDwvvJAf8kS+1LvD BuaykM+PXQyKX/ZBvsk7+acO1IO6UB/qRL2oG/V7M2qD6LlF6Up9qTP1pu5X z5+5Yr6/cEz/XI/fzl16H1jE/5lxYBe3777rX5OlrTMQ25vvQ+URNzR5jUYF 54A7341qp8Eoc7wT1daDUbn4ZpR4Dke+py0yVq1E4frJKFjzEHJWjoJJ9roV DyBr4wSEH10J993T4dFnifXHFiH62blIPvYUYg6MR0LPKITv6q9NYjofQWTH o4jk2LLu8Yjk85S+xyXft5J8fy30XeuQ2OWExM45iO8dhciT9jBLHm5YMAwZ 7mNQ8sR0NCyagEbBWOxyD8xO90FvNw7BLe7w3TMZWyptEFzriM19s5FwaC3C WmOQsdsdKVJP6I5tQtoxXyysiFF7fudxnud1vJ738f4tlcuwXtpju2yf/bA/ 9sv+iYN4iIv4iJN4iTux21nFwXiSJa643Y+rOFW8EjfjJw9RUsuQF/JDnsgX eSN/5JF8klfyS55NA7yTf+pAPagL9aFO1EvpJhipI/Vslnql8oir0pl6U/fv /g88I+zf+seF/fHP/4PcnzMujDlncC7K4tpQN7UO7TcmYI9LD8zxtf3zqCX/ TQ0pQVROEAqybdGW648Oi7V47nE+V7HBqSdscHqytfwdtcLxiQtxaJotKiJ2 ID2iFKlB174zqn8OTB7M/qWIzoxHWYYnqjNckNQ2DUmt02HMW4GwjO1Yn54E r/w0hGiMiAwtR/r2clQ6tKHmXhNi7dMQ7pGE0vGpai3Hrjv5bMiMrrvS+59V 3JqN7G3ZSElulnwnF7s41m2wGW33GFAzLhaVkwKQa70dFa4b0TeEdU6mej/v 5fVKp9QpPfMd1f7yeqX/Pb6Z6r4Kt02qHbbHdtk++2F/7Jf9EwfxEBfxKZx3 GhVu4mccjKdmhAmVjm0qTsbLuBk/eSAf5IX8kCfyRd7IH3kknz+0LiP5pw6V oseh6TY4xnXqRSfqRd1OiH5nH1+q9KSu1Jc6U2/qTv1N4oM+l17lC/qDPqFf rr9W+X4cGP36x3/iOLBrflMuHxf2yk8fF6bmHkg7v3vnN+gak4XDN2zDGes6 yYWzUeqbhIqNGpRu1iIneSPakhajPD8QNZLH756wGDUzXHB8vCVeHjkPLz20 AMceW4i2Sc7Yt7UIlX5GaGP9YYoMQ5l6VpOGFMMmlG9Jklw4FVXrdchO8Edj ijV2ch5Lgi3qYt1RleKGpAwvxOV6w3L3BmyvkFomLhzlgVLD2+ajfXgcguxS sZ7vJx7D8WDhqp5Q7yfmM5A7InD8hijk+qciJbUaL9witcit4egaHo+64Sko flSDujs1yLIKh2ZBDFqHp6L+Hqmxx2pRIz83PpCEPYNjsW9QONIWrVR7fudx nud1vL5lRCo0C2NVO2xPtSvtsx/2x36TpX/iIB7iUuu2CE7iJW7iZxyMh3Ex PsbJeBk34ycP5IO8kB/yRL7IG/kjj+STvJJf8ky+yTv5r9xmVHpQF+pDnagX daN+SkfRk7pSX+pMvZXuHCcmPqAf6Av6gz6hX653zgo3Plv5w//7k/Lrz14X 8nq3i+PCLryEXyZvxkfXMS7sc66J6FoteWd/7vuDeSnfKbxauA6rw0c2+fgw egNeM9vjM8cCXHDOwfsb4vFatjV+meCD8255KK9Jw576bfhvlwz0zUnGiUUa lTvz/bucG354rgav2upVzn35HPJz6h1gRpyySsOuWRp84mbGe+WL8GZQEH65 OBsvWxjQYKeHv9Su7nkeKEqIx9u+pfiteya+lPxfzQFhW27p+NY2A6/51qOg MA1ncpPQ5bZd/vZuwA7vINQ6G/CGZTnOunQjYeJrqNwajf3rNfhqwT586FSH 910q8FJcAo7kpaM9dyvSts9R+yP56eo4z/O6rxbsxX5fDcr9JB974lU8L+29 Lu3WSM3QLP2k+/uqfs/kJKFQcLwqeIiL+NR8FL6bQHD/1i1TxVGUGA/3fHcE xPmhQfhhvIyb8ZOHj4WPXTM1ip+vva/kjR/ySV7JL3n+fOA9BeSfOlCPPXXb UF6dpnSiXtSN+lHHzxwKRFcHpS913hdWq3RX+v+QL7g+i/hG+edHzrunL+lP +pR+vdy///nbwHrGkrdmtHogoGUksiRHr/G4DxV2d6GC80/UnG/JdyX3rXQe gXJHC9TYzUb6sgegXXovtNYjoVs2CgZrqVmsH0Sa9TisKLTFxt2TEMg1Cfn+ 3J2jVV4evWsMoiVHj1WfMYjpGisfydk7H5M8fgzSemchcocHYnf4InWXK5K6 Z8n94+Tcg9h2xBmxgctgsrgHeqeRyLR5GqaJ89Di/hAKXO+GzvFhOTccqYEW 8NtviW2d87E5xxmbOudh8+4pMDe7otqb7ywbgYKtU9GevAUVZd5Ibi9BRbm3 +s7jPM/reD3vU/fnuMB/13xslXbZPvthf+yX/RMH8RAX8REn8RI340uUONI6 3RDXshFRLR4S50wVL+PmefJAPsgL+SFPqo4R3sgfeSSf5JX8kmfyTd7JP3Wg HtSF+lAn6qV0G9CQelLXrL5nlM7Um7pf7oP/9O3ycWHhOT99XBjnIKSE5MIY 0om2OzNxaEkFTAkV0AXkIz64EoYsPxRlLpV/p1fjoI/UKuMtcGaSLY5PkHpl kh3OPLlM8uAlOP3UQrRO9kDtvQXyN7cDxogCaIIG1qrks5+QQui3F8MQUopM /yoEpWYjtcwBae1TkF69AIV6L1RyrZF8e0QlGaEJz0NMVCmCIuoQGFKBxJxq RKw0IX1SGnr5TGKQCV13p6NnaBa678pQP3cP0aNpZDqSKnLRZLtDrXffcr8B tY9HoGKaP2rHR6BhpAahXmloGxWE3XenSh2Rg66hpu/fkTbUiLa7pYZYslzt +f37cyZ1Pe/j/WynUdpju6p96Yf9sV/2r3CM7Mel8AlO4uXPxM84GA/jYnyM k/EybsZPHsgHeSE/5Il8kTfyRx7JJ3klv+RZo8b6FSr+qUPtvYVoedJD6UOd qBd1o37UkXpSV+pLnak3daf+ZvEB/UBf0B/0yU+Zs3JxHBh9+q8YB3bt78pl 48LO/Er9/OefkEdeXDfjly9dQPdNoXh+XjqqQ8wo901GwSYTypPWoTXOAnk5 G1C3JgBvjJiJl0bPx7Fxlqid7oz2p2zx0qj56JuxBNVTfdB3ewpKExOQGx2J 0nV6VG5OUe+fKoj2R2ZorHoPFT+GqCjUJNuruRnqfWAJdtgZI/l4sh22pGUj LcaEjPBoJCVvRxTHP2UW/H/kvQd8lGXaPayuChaqKKKASFEERASRDoH0XiCE XgWSkIT0nplJJlMzk957773RexERG7q7ll1dC4KIrrq65d1yvvvck0Bg2dXd 9/u/u+s+P+c3eZ7nLuc65zJcV+6GLWuEf0yNwRkR85+5zRL/H747AkfvDMfx u8LkGvcjo6IQXpqB3HUVqBgch4LJGlSIXKLloTgcuisSh4eEIX/FDpSMTUDT 6AScvT0YhwZHYO/90cLvlagYmYiMySrEL94iv3nP53zPcizPeqWiPts5PCRU tsv22Y/sT/SbJ/onDuIhLuIjTuIlbuKnHbSHdtE+2kl7TeFR0n7yQD7IS33f vs/ki7yRv34uySv5lft8Cb7Ju+Rf6NAj9JC6PGctdaJe1I36UUfqSV2pL3Wm 3lJ3oT/9gP5Av6B/DPSXf+Tq98uekz/9P5sHdvN147ywH3qOZA0+ta3Hpx6W tfJyX7BbxKVXPHX4ZL0RBwLr8f4WI1432eIS97b1ur4e/zOXVLyn3oaSpmC8 mu+CT3006JytwxkRW3/lc33fL8bU5+2TcXyJWjzvO2ulb2zlc/Hu0MJEHJjH 8z/MeK9kLn4ZtBO/tSvAr7ekojI8Hh7addgYuA2vvCDyS+80fOmZJONyicE5 Exe9jfh0kxIfqDejotwPKWk70bgmDOmzUnDkuTK8v6wDXyxvwrdeDYhddBSN 9gdw0DMLB9cH46ptGy7aVeOibRN+Z12HlkWvY4tShz1po+V3q7jnc75nOZY/ uD5E1m8Q7cSI9r5dWS/bZz9HRX/st3FtmMCxC5UCD3ERH3ESL3ETP+2gPbRr Q9B2uOvXozIiXtr9nbCfPJAP8kJ+yNPn3tfPdeSHfJJX8kue+/cRI//UgXpQ l1eEPtSJelG3/vX0MocSZV8320mdqTd1p/63zlcM0m/oP9KPvm9OWP88sNXx uPhq2Q1+++O4ru8Pll/mBWXj41D3PIsyrwdlfGvZo2q4iIHvQ53LwyiwX4FC 52lIXzkSSU5j5RwrndOj1z/O4n7Zw1CqJiH4+DTEtU2QsXhU55S+3GTitU+M uJfrxEU8ruydBkXdCviLvCG+1h2qrnmI6Z6E8I4JiO8Zhx2H3RC0cwVSmKu4 jIXJdRz0i2yQ7mCFzFVjoHEQuZLjo9DajEVwnge2HpuPTYVe8KtyxJZ9M+S4 SJLHNJTa3iP3B652uBsl0x5EQdJ6lLy2EwXq9SgV93zO9yzH8nKcZv8M+Fc6 YlOBF7aJdtk++2F/7Jf9EwfxEBfxESfxEjfxh7dPkPbQrvh6T/iVroWi3hqq nqcQK+y3rJe/kZ+BvJFH8kleya/keQDv1IF6UBfqQ52oF3WjflJHoWeZ1yip L3Wm3r+7yQ9+DNfAeWF+//S8sL61LFG5qNnYjWTXUhnrRu0R+Y/RF4Ume5Rl eqMhMgBHnrDGqRkiT5luizMzbHB2hoOMfU8/YY8Ts6xQOSUK3ffoUTQuD5qA Nui5n1hQAXR7CmEIKoJefov42q8U3kXBcv+E1FRX5OtXIt/ojox0Z4QnJkMb UIJ0f/H72a8CCXEm+KeFwjfFiPad3Th8b7ocx+gYKvKUYTz30pJPtIzUilhB B9OaDCgzClA8qxTlU/agcFYgKh+PQeMDOnTdaYLaToG0WRp0PxSMqtF6dA0x yjldMicZqUO7aENjnwXVtl3yu/12y3NLvmKW5VmP9dOe0YicWoFu0W6TaJ/9 FM4Kkv2yf+IgHuIiPssYjU7iJn7aQXtoF+2jnbSXdmcI+7Vc6yH4IC/khzyR L/JG/sgj+dT38UueyTd5J//UgXpQF+pDnagXdaN+1JF6UlfqS52pN3Wn/vQD +gP9gv7xz6xZ6Z8H5vd/PA/s5uvavLD3foVzP/3Q8uyfiAP71yK8pXoRuYs0 KPVPQuYLwufjmKtYo8XgibT4aBx/ZCnOj12Ml8YtxquPLMKr4xehY7o9ap91 QflUF3SN80fPYy6oeDwShRsrUearQMH2JJRu1UAfGY70GH8UbxU5zDb1tXxF 7g8WZ9nzqjrRDhsMKVAHp6NhUyLKt+iRGKmGd1okdmcH4OCmUrx8RzQOcv33 oAic+InIUeTP4dg7NBoNwxVQbkxFcFYu8mcUoOd+5gaROHUX53WF4qTIEfIW BKF6UjD23x+LyuEqnBR5BNemcC4Xy7x8WzBUrqlYszoUSrdUec/nck8yUY7l q0S9A6I+28mbHyT3RWYZ9sP+2G+B6J84iIe4iI84iZe4iZ92SHs2lUn7aCft pd20nzyQD/JCfiRPgq/r+Ypa8kleyS95Jt/knfxTB+pBXagPdaJe1I36UUfq SV1Thb7UuTHGWupO/ekH9Af6xUA/+Yd8tM8f3/zFJXz59XeWdv4l/1xdnxf2 y6ZwvMN5Yfb1uPh9a1fsGvCJSyGurNLccu1K//jKpXXi92d0Hc612uP9F8Ll XrifrdLJtQ1ck/3+djNOhTTgrRA93q96GIW7rXHMKQnfeGaIuFaUW2WJeT/3 1uNXrjr0zE+Say1krC6+P/EQv2/nq3BmmQZXV6bjncK5uBi6Db91KUVPaAzW q7ywI2ELjvsbcHBJCj53NeCqqwkX3bJxScTa7+4Ox4eKtXglzQXnhC+V7gmA Z7oC6UFG/OqZLnRNr8bHNnW47FSDr1wr0bWqF5vnn8Pnq5vx+tI85Edsx0XX esGZ4MWlBmefrEHM1mIk54eiJelh+c17Pud7lrvoWoeCiG14fVkerqxuwaZ5 52S7bP+yY43sr2tGtew/fY8RXhkKiYv4iJN4iZv4L7pmS3to1yFhH+3crtyK 9Ykrpf3k4WLINsnL1VXpOL1Ug2bBF3n7so9H8klePxT8ft6/PzR5F/xTB+pB Xd6vGi11ol7UTa6pp/airNzjWOhLnak3df+b4ytcwyL85qLwH/rR38tX6If0 R/ol/fOPf/72RzUPzHJZbPk9/oSK6rUwdD6PrANLUOP9iMhXhqDEZQSKXe5B k9tEHFmxCHVuk+UZhpxzpHcRsbID9yJ+FHrmCuJnxupp7mMRnj0bsb2MwznP a7KIu2+KxdsnIrLjMSh6pyChdQEiCp0RUuqKpPYFiBPPwju5nmUyEnrGY+ch V/i/sAwmqwegcxkPrePDSHd8Bmr7DTB7zofObrTAIPIX8Z249lkEH3RFYIMD fPI2YkfPc9i+zxOhGxfA4DwKpW7DRT4yFJVOdyLFwwZedQokHn9YfvOez/me 5QzOD8h6rP+CaMcnf5PIX+xl++xH39cv+ycO4iEu4iNO4iVu4qcdtIfzwOJ6 piCxYyECyz0QVuyOeGG/oney5IO8DOSJvJE/8kg+ySv5Jc/km7yTf+pAPagL 9aFO1Iu6UT/qWCT0pK7ZQl/qTL1//yMbX7Fc1/cL+9/NC8uBKjADKVHi3+3E IwjmWgjjLhSbHJFhckWl3g+nZ7nh7FRbnH7aBsdnLJefE+Jz6mlbnHvKCp0z 1qBxWAb2jkwT8U0KCqbUInFPl4ijeZ5HEbQibtUGFiAuNAvhqRFYV/UCzFmu KNJZzrkvSnVEXKa/iNHLkLqrChHKNGzLC8WutDjEReQjYHc1MoOKsX/HPhH3 p6P1XvH7dLjIWUbo5TmG3J+YYwmGLAW0GZkomROFqvExaB0q8pz7jXJvr8In lIhaGYueO1NQMSsEOVOV6L7PgM6hZrQ/YEDb7UmoX1kEQ5TIiWbYym/e8znf sxzLs17FrGDZTqRoj+12y3MsjbI/9sv+iYN4iIv4iJN4iZv4acf+F/ZJu2gf 7aS9tDtS2J/qWyX5IC/kR/Ik+CJv5I88kk/ySn7JM/km7+SfOlCPxqEZUh/q RL1O9OnHD/WUugp9Kwx+Um/qTv3pB/QH+gX945/xq4HzwP5f7gf2vf+n9K1B 4fyaV9/+BH/445/+qbX3vJj7sOZeRSeM25QiZt2ExjhbVCvskWSKwYlpTnjj 4Xkixl2Cl0WMe058Xn7UMr/oxUlLoJi7E/qlm9AzdhfOirygfowOWTuLUcI5 YDzbY1cCdKqdyN2RLOcxpcYHoDLRQY4X1Iv4pEllh825kVAFpaNxoxrKmDis zA/ERnMEzOEKBJh2oCRIgxdXl+HM4CgcvDMUnaNiUTVKhfzxySh5SIUa0Wdw hhamuCq8cmcsjt0RIs+n5/7BJ+6IRMsjgciw9sfJO8Kx/65I5E9OxlHO1eJa +8GRIu8IROXKHMTFC7+Y4YXYhAx5z+d8z3Isz3qsz3bSrHeLdoNk++yH/bFf 9k8cxENcxEecxEvcxE87aA/ton20c6MpQtpN+8kD+SAv5Ic8kS/yRv7II/kk r+SXPJNv8k7+qQP1oC7UhzpRL+om9ZO55xKp6/HpTlCZY1Aj9Kbu1J9+QH/4 M/75tSYcW6FfvvHup/jNd7+3rH35p1r6/+HqG//89eev4ecqy7ywv3eOJPeh 5Zl/v/LM68tX/sb6lZUa/NozE835sWhVx+IbJzMue+vkWfdfuatxYUcu9kXW 4vMtZlE+HmVrvbF/cxjezbLBO5EiD3BPl+ekyzGcldfj6l+5iDh6jQFvO2nR OluJC/Y83yMT76QvxdWI3fjZmhyER2/E5riVaA2OxnfrsvHJklT0PqfH1Q2J uBC+Gx8leON8rhN+Fr0KHTt2oXNxLHoX6FG7pR7mTiUu+lTjsoijm+aU433b Wly1q8LP1vdg7exX0eB5CN+J3OKNJa2oWbMb36wqwnvWdeiYVIWazWnI7gnD 8S3ZaAkeJr95z+d8z3IsX7PGH28sbRXtVMj21s55VbbPftgf++WZisSR2qWU uIiPONsFXuImftpBe2gX7bso7KS9rSHR2JywUvJAPq5G+Et+PvPOxBuCL/JG /sjjBy7X80A5T6zvfHryTx2oB3WhPtSJelE36kcdL8k9v3RSX+pMvak79f9b vkG/+VD4jzw78u/NO+yfByb8kv450F9/PNdf+v77H1SKfGFX1dPIPu6Nau/H UcRzHkWsW+z2FOptlqHJZcz1v9e7DofeqS9XEbFysojbDZ6PotBtKKo8xkDX 646wznFyjUakzFUmXR8zaJ+AqN7HoeqahaQSayhy7RHXsgTK3idFfP4YIjqY y0xBXNdY7DjIXMUK5uUjRQ4wDlp7kRO5jkOpuzWKPL1hdHgcOqdHoHMW+cqy hxBrcIJvjwvc03ywpdoBYUftYAgVMdaSkchZ+SAqXYai3PFeNHqMR+Z8TyS3 BSJk/33iO0Dce8jnfM9yOSsfkvVYn+1sqXGU7fr2Oot+HGV/7Jf9EwfxEBfx ESfxEjfx0w7aQ7siZB7CMaUnENO2DHEFTlCW2iCx61lE9Twu+RnIV6TMWaZI Pskr+SXP5Ju86/tzRqEHdekfD6Ne1K1E6EcdqSd1pb7UmXr/pW9P4x9XvjJw Xtjb/6t5YeqgLOjDipD6wmvIM8agOM0euXpXNOfuwD67zTgzZQVOPGMtYl0r Ge/2f05OX47Ds5ehakIsOu8zoXOIGW0jzOjlOR3TypEY2QL1njR5jmR0khr+ 6WGIik2FSRmL/HRHee5hgdkJGhGDaHc1ITGsEJvzw7C2KBRRKjNSd1cgNrgc OxMFvt3CrtgCdO/olGeYcO37vvsz0TLchKrRMchdpYa+Lh65a0vQMFi8H2K8 vn/xvTpEe0Ujf6oK++80IXN2BDJmh4s8w4iOUSb03KFFx8JKlKXWoXpUMroX uMlv3vO5fC/KsTzrsT7bYXsx3N/43uv7G7Nf9k8cEo/ARXzESbzETfy0g/bQ LtpHO2kv7ab9m3PDJB/khfyQJ/JF3syCP/JIPskr+SXP5Ju8996jRvuIVKkH daE+1Il6DdRP6il0pb7UmXpTd+pPP6A/0C/oH/+7eWBv3+Cv/4qr/2/VjAUP n7OcHftPzQvjb5P/+TNqNx1DQ3QgGpQ2aI62Q1neblQ7bMFrD8y17AfWF+fK z7hFeOWRJTg2YTnSbNzRMDkAuaNTUDtagRfvCETLOBNydxej6IV45L2ggS6R cXU8CrcYUBbhi1olY3CRryTZY3dGEPS+ucjzV2FNXhDcCoKgiI1H9WYN0nzj kaTZiZxNOhiEH9X4taF4kh5lIxPQ/HAC9t8ThdM/CUHjQjWCawxosM3HoTvC 5HhG/9kpJ24Pl7mKzC1uj8CJe0NRNiYJ++6KwtHB4XLNe+fiPKhzWtE+JBya +evlN+/5nO9ZjuVZ77ioz3ZaHtmDzBV+sv3+M1zYL/snDuIhLuIjTuIlbuKn HbSHdtE+2kl7aTftJw/kg7yQH/JEvsgb+SOP5JO8kl/yTL7JO/mnDtSDulAf 6kS9qNtAHanra6Pmotpxq9SbulN/+gH9gX7xz5xF3O+H9MtvhH8O9Nd/1dU/ v4bzbfrPkbz4N3KW/nNXPliVNWB/25s+XB/umo5PQnzRmbcOJ9bV4WsfNS56 GfG1pxqv7CxCW3grvthowOe2KTBv3IYjUV74rX0hPvbR4qcJ6/Fmqg3e3xYr zxzk3+p/vUaH44vVeN0pGa/Za9E0V4UPXUSM7pOCd7VuuBAfiJxQP2zQ2aI4 MFjgKMSvPdJxeUM8mgI3oifcDe/kuODtOB+RRwi/W6JEx7MmnF1oxIfOWny8 JQdNZdloL1ThyvJW/NKmCq2zKnDFphK/WNeJRIfzCFp8Fr/a2IbLtpX4eEkb ajcGoXGzAd2P1uCscxMKquJxakclXtmUhTrNcJwX3yfFPZ/zPcuxfM2mIFmf 7bC9oCUvIsn+vOyH/bFf9k8cxENcH2/OkThfFHiJm/iPbw4W9qyRdtE+2nl5 Y7y0m/YXBoVgrd5O8OIv+AnAuxo3yRd5a5qrlDySz2OCV/JLnuVZn4J38k8d qAd1oT7UiXpRt7bwFqkj9ZS6rlFLnak3daf+8pzIW/gH/Yb+8/fOYbk44FzI H+c8sOvXX/r+nvb2+V7o8iYipM4GuS6PoNJ5EPI498vRGhUuXA9xv4yFef56 odNwaDgXzGEskkVcni5i+xK34ai2uhM5e2ZDcWA2Iton9MXak/vylMcR3T0B ip6noK5YCGWOHdTVi0TcPh0xXY9Z8phOy7r7qI5H4X/UDYG+Kyy5ivNY0d94 aD0fRrnbZLS6uSLNeTkMzo9Ay1jdfgySPEVM37QNPllu2JThhcD9LthpcoPW 6iER149FlpPIV+wHo9HrEdTOfA5a64UwVjvKPYb5rbVeIJ83iPcsx/Ksx/ps h+1tFu36ZLrKftSiP/bL/omDeIiL+LQeD0u8xE38tIP20C5pH8echL2xMm+Z jsSapYjLc0RS1RLJT3TXBAtfHX3jK4JH8kleyS95Jt/knfxTB+pBXUr75vBR L+qWIfSjjtSTulJfXd4k/Px8zw36/9iua/PC3miDb4RlXpj6H5gXxjUPhsBs hIdVINU6CKd8fJCXtQ45OT5o3xyAcxOtcHLmipviXP59fgXOPL0EdTM3oIFr SIZZzunoHpqCDhErdw9OQt30GqTEtcJXH4k9qRFICslCQkAZojSh8jyR/BQP FKSsRYgqC37F/vDsWAl/YyKMflUw+ov4PaAQIWo9oiJyYfLnXLIsGCOK0Ltl H1pHilju8QgUzQpA0ZMxSNLpEK8oRNXzzegapJLnG7YM12KvyB2yZuiQ6KRC x2DmE3rkTVSh5qlAEWeZ0HV3Elpm1SGlrhwp08S/MyLXal7hJr95z+d8L891 F+VZj/XZTsdgPdSOKtk+++E5Lq3yDHiVxBGvKJC4iI84iZe4iZ920B7aRfto J+2l3bTf35Ao+SAv5Ic8kS/yFi34I4/kk7ySX/JMvsl7x4g0oYPJcm6K0IX6 UCfqRd1u1pL6UmfqTd2pP/2A/kC/oH+o/5H8t38/MOGP9MuBfvqvvBgDcr39 1a++k/NueP0j88L6i3K2zpF1erxo5YaWZG9kpq1B2guhco2D3Afsplzl/Nil OD96ETJXLUDmk+E4f1sEDt0bjsrRKmSP02I/99SalIaqoELkb0lCRsxuGKPC ULDVgMxIXzTF2qA2yQWJmZtEfpqIwKytsG9bjRBtGKq2aFGxXY2ibUZsKQ/A huw4qCIKoNhjQnqsCSfXV+LsoCgcvy0Ix+8Ow5Hb42BUJSJYn4l9z+TK50cG Rcq9iDlfq3ZiKHIWBeJE3zn2p+4IlWtTmscl4MXbArB/Vhri28pROSVa1A1G /IqN8pv3fM73LMfyrHeqb6/iE6LtnIWBsn32I/c+HhQp+ycO4iEu4iNOPidu 4qcdtId20T7aSXtpd9UWjeTBvs1H8kJ+yBP5Im/kjzyST/JKfskz+Sbv5J86 UA/qQn2oE/Wibn+dsyyROlNv6k796Qf0h+9u8pMfcg2cB0a/pH/+e/xVrX9e 2Ld4vykM76wok/sx3WpemBxfcazDr7z79zK+RTzqaRBxrgFv6Bxw3j8PxyKq cGm9AV+7q/GabxHaw5vx5Ro9PnJLQuv0FLwe6IX3gmJwxd2y31h/zHxBxMxv iZj5E+6/65aBd93UqJ6qxL7FibjsZsInG3SiDx+UJr6AoICNUIf54r1dalza lYB3on1w3uyMD1Lc0bx1LU65xeKEtQbdz6TgyDwd3nLQ4Yq3Bl/66MVHg5NB 9ahpSsCZkAJ8ZdWAt1fU4NiUEvx8YyeKN7+GgHlH0OBzGpfc6gU3tbhs3YRk KwPqXAPxiW0XqmrC0aE04IqH+H9NVYha/Qj5zfsOpV6+Z7lat0BoRD3WZzts j+2y/ZJNr+Fnoj/2y/6Jg3iIi/i+XG3BS9zETzu6hD3HhV20j3bSXtpN+8nD uzvVSBS8BIpcpiRpOy7oVkveLgn+9i1WST7fdUuW/JJn8n1hYK7I8RChC/Wh TtSLulE/6kg9qSv1pc7Um7pTf/rBLcdXhN/Qf+hHt8pXLvbtB0Y/pD/+OOeB Xb/697N98919yKm1R3m2E0qtbhcx7wwRs1ujzIV/sx9yfR0EPyJW1jJf8eg7 m915qDzLMN/xQZhqHRG+V8TZ/WMDcu+v8YjtnQJF4/PQ5NlAVbYMiq6nEXPT eALHH7jPb/wpF8SH2CFl2QhonMeLz1ikeY5GheswdDjMFbG4C8xy7hXHOB6D wWoootXbsbXKDwG5XgjimEXDJmgdJsDgOEa2YXYdhSqvkdDPew75zzyDrTEu CD7jh/SeqfJ7a6yLeD5Tvmc5lmc91mc7iobNst2AHE9sq/QV/b0g+2X/xEE8 xEV8FW5DJV7iZhu0g/bQLsu+zVNuGG+K6RHtdz+NhIoVSCp0gKJpHuJ7OEds fB9/Fj7JK/klz+SbvJN/6kA9qMs1jZwtulE/6kg9qSv1zalzwFtC74H6//iu AedIduoR6m+ZF/ZD40tdUDbiQ/OQkRmKF+ctxd5JVqiKCcExRRSOTOV6eqtb 5CrLcWb6MnTNtUP5aA26hnC+U/++v1p0Mm8ZkoW6oUqUrk5EeloB4vzyoA/M hTJM5FJ53ijVrUSRbj3SS+0QfWie8Glf4TvlUO+uRlJkNrRhGYgIKsLmvGj4 pSjhJ+L5XYp0+EalIzIrESX6AhEjKdE+WIOKBaUIzU1EVkgrWsako22IRuLo GmYUWEwId01Ay0gdOrj/1zA9qkdq0PvIHvQM0qBkcjXicltR4GJC9x0GtD3U t5+x+OY9n/M9y7E867E+22F7bDfcTSH76RxmyVnYP3FkhbYgNE8l8REn8RI3 8dMO2kO7aB/tjAgqlnbTfvJAPsgL+SFP5Iu8kT/ySD7JK/klz+SbvJP//jMw qQv1kToJvajb8Rk3j7MslzpTb+pO/ekH9Af6Bf1DF/TDcmB1/zww4Yf0x3/l PLC//j/FcnGM5Y13PsUf/udP/8AYy1/wZ2HHV7//BmfbUnFh+lKcGLEIjYEB KNbG4+TYZTj/qIhtxw3IVcaKmPeRpTglnnUufhzmycHYO0yJY3eGyjlTp8R3 z9BoZI/XomqoiJ2mZ6I3kPMnw5Eb6Y+8F/QoUbuiXsTe+vQNSK5wwO72pdhW vg0pAXqkB5iREG1EpMqMwPBi7KjejCj9Hugio2EOjUbadhWKg5NxZEMVjg1S yL12e55JRnChAgWhlTh+fxyOyDMOLfOzDg4Kg9nBH3vvt5wvf0TODwtD66Px qLsnBl2PpmNjWTNKHRPx0m1h2H9/mNzPmN+853O+ZzmWZz3WZztsj+2aHHaL fkJlf3KvMq55ETiIJ7gwQeIjTuIlbuKnHbSHdtE+2kl7aTftJw/kg7zs7lgq eSJf5I38kUfySV7JL3km3+Sd/J/q04O6UB/qRL2oG/Wjjtfzz8VSZ+pN3ak/ /YD+QL+gf/z5H/B3OQ9M+CH98Tf9Yyv/sGf/P7r654Vd4bywF/DRilvPC7ue r2TcMl+5skqLT9wy8XPuVxzkh8urM9AU0CLXeF/wL0B3WB2+ErHuL53E79VZ SlwQsfDrWS743CcBn3maLO30zUn61D0d70Zsx8/S7fBOUADaZplQNUOJr9xT cdFfid7Mhdhqtke4ygXtmu34LGYzXk5zxAfKlfh5nJ+IvxU4Y5OC2gni9+Jz yXjZOhkfeVli/i+8LWfEXPXQ4u1t2TioLEVVczQ+chJ5hLDv3QXlaFjYjL1R r0LrcQxRbufw0roj+NqlCj9fVoO2GdWom5SBl6OCUFumRJ2RZ6Sk41PvFHSl FiI/6WF0mYvkPZ/zfW2JSpZnvVZRn+2wPbYb5f6y6Oc49ka+Ivtl/8RBPFUt 0RIfcRIvcRM/7fhY2EO7uuYkSztpL+2m/eTh5XRHyQv5CUt0wbZUO+zNWohP /Cw8kk/y+k5QoOSZfH9601w86kJ9qNMFN6PUjfpRR+pJXalvo9CZelN36k8/ uHKLMRZLvpLxN/MVOQ9sRaf0Q/rjQP/8MV7947S/+/YzxFSuQWrwc6hZMQWF LtYiPxAxr9ONuUqZ41AUrB6JFO8xKOZ+x1yX7zICVVZ3IzNxGaIOz0Fk22N9 YyUiJhc5SWL7s0guXA5NkZX4mWtbuE/Yzes1uC/WOBjPWCE11haGxSORzFjf bQwKPUaK2PweNNpNQKW7NdKdnWB0HCfHNoyODyDZbRH2VJmws2sH1tS/gN2V OxC7aQ4M1iKWdxLlnB5F2bpR6FgyHYVPiuc2Y5CauhGpbyYgumWK/Oa9UTzn e5Zjea1czz5OthO9+TnZ7pr67djZvUP2x37ZvwXHOImrSuAjTuIlbuKnHbSH dtE+2mnZF+z6eh7yEdczESrBT3LxCiSX2CCx41nB3wRECB7lOAt5FfySZ/JN 3sk/daAe1KXs2j4JfTmL0I86Uk/qSn2jK9dKvQfq/2O8rs0Lu/I2wvvmhWl+ wLwwnteRGFACX734t7rQD6/Mc8PZ8Ytw8IVg1IWH4sjERThxi7GVk9NX4NCs ZXKdavv9KWjrPx+euYqIjZuGpKBsShiKn98p4hYNjsxuRImiQa6DiIhLR75u I7Jy3ZDSPR3mzqlQ5/sgNVKHxPgE7MneAXWBN3LTPJAq4vOAzAikZHhCk++I 2MaFiG9YLOIRG8QUBKA1qkzE5hUyxo9O0SPbuwnN3Dt4mMhXRqSg9+40mJao kLY0WfxsQgvnbA0VOckokeeMCUHmY3WITy2FNsaEhrvT0U47Bpy/wns+53uW Y3nWY322w/bYLts3LVbJ/tgv+ycO4ok26iU+4iRe4iZ+2kF7aBftC8iMlPbS btpPHshHaqRW8mPufEryRd7IH3kkn+SV/JJn8k3eyT91GKgLdaJe1I36/VW+ InSm3tSd+tMP6A/0C/oH/YT+8v0+1XcuJOeBXfnXzwO7+er/2/c33/4eh1/6 4fPC/tJX8aMvL+Livna5/vrnI+cgzy8SxXsicH74czj32NIb54CNscKxifPR 9vwENE7YgtJHjNh3d4RlD6y7LGfPc035ybvDUPeQCjkjFeidV4DesEwok7Yg NTABpcneiMhbiYC9cxHa/CxiSlZDE52AUGM8AtJFDJ6/BpVKd5QneCGw2g6V ydYoj3dBqdIF1XEeKFc4IVe3DUd2m3H4viQU7FIjMEf4tWs+Dt0djWN3W86O PHVbBEpnB6D02d04zfGPvjlixwZF4PBtIdA/XYjQ/BIkRmtw8LZIYcON56/w ns/5nuVYnvVYX9rKNfTsQ7TPfvr7YP/EQTxBAhfxESfxEjfx0w7aQ7toH+2k vbSb9pMH8kFeYkpXS57IF3kjf+SRfJJX8kueyTd5J//UgRipC/WhTtSLulE/ 6jhwnIU6U2/qTv3pB/QH+gX9Y6C//L3r2jww4Yf0x4H++e9y/ZB5YZb5YPX4 YGX2X80Hu8y9dl3T8XbkNlyI3oLPHXNwZY0GL+0qwumQMhwMrcDXa3X4uaP4 nf2sCu87G/HN+gScN7rho1Wpoj3dgLZ0uOylw1ceGfjZyiTk+drhQJwTDi/W 4JhfKFINU6BMeQh1xXPwWo4bLkWvw3shIfhsTTIu2Gbg+FwRS8/TYP/zKnTP UeLLtQb82tsgzxvp33dM7jHmo8VZ/1p05yejW2/G50tb8I1DBZpce5Cx/iQO +B5DnNVe1Ae/ird3duOlOeWof6oMH6yowsm5DUhL34EMXSreWV+Gq15qXF1r xIHkQpjjJ8hv3vM532doU2X5k883yPpsh+2x3frgVxAv+mF/7Jf9EwfxEFeP wEecxDsQP+2hXbSPdkp7hd20/03BA/kgL+SHPNUKvhTm0UhLmYIT/iE4tDgZ +wWv5Jc8k+/LA/Y6sMzf0kl9qBP1om7UjzpST+pKfc8Jnak3daf+9AP6w+Wb chY5H0z4D/3o5nzlv2ke2MCLa+H+B3/G0YMVaFgxG9XOSyxndtycqzgNRb7X CGR5P4gyuV+ueO46AhXWg2DymwvtIWtEto+3jK30Po6YrulQlS9BUoE1Eprm InbvZBmXR7VPxI37hYmfW8Yh6vhziNE6QrNY5Bnu45DtMQrlop8Kh/tRJfpu dJqLfDc7pNotEnnEwzA4P4zEFc9AFRKOkAOh2Nq5Fjt7lTAn+EK7bKhlfb7D WJidR6Fq1VPQTFogcoqZUFuJXCR7KXTndmFH/VPQvrRL3vM537Nc5appSBX1 WJ/t6ER7bJftb+1ch2DRnyo4XPZPHMRDXMRHnMRL3MRPO2gP7aJ9tJP23sxB VF/eEts7GfGCL0WxPVRVVogT8VgU8xby2jFe8ky+yTv5pw7Ug7pQH+o0MGeh jtSTulJf6ky9/2/O2/rXXjecI/lD5oWJuFIbUIA4hR5ZaY4oMIfi8NMuaLPZ jPrM7SjPWYtTq7fgzOTFN+Qsx0Wse2bWQtQ8swn1Q83oGKa1jK30xcT1I3Qo eW47CqaEoHm4Hl3DTGgdrEXHonoUhnQiThcBc+sspLXPQHqRPQr0G1BmWInC dHsUptqjJMUJhQY3lOlcEZO2E6EiFjE3Toeu4XmkF9gj38hxmZUo0DmgKN8F LVmZ8C3SQxVehAbbJnTcpUI7zzy5PxW1DxsQ46FAy0gTesWzVonViN7hcYiz 1yIgvB2RaQZ0PJiL7vtF/jHsxvMiec/nfM9yLM96rM922B7bbRlpRqzoh/2x X9m/wEE8xEV8xEm8ErdupbSD9tAu2kc7aS/tpv2SB8EHeSE/5Il8kTfyRx7J J3klv+SZfJN38k8d+nPJVrm/mVbqVSt0e1Hod3xgziL0pc7Um7pTf/oB/YF+ Qf+gn9Bfkv9OHnzDPLB/4X5g33fJeWF/7psX9t73zwvrP7vp0odv4C9/+oP8 A/gbE5ejasVGFOX6oke9Ei/bbsCro+bh5fGWdQ+vjF6Ow0/Nxt75Y9E+yQu9 tytQMl6F4/dY9us92hcjy1iZYy0/EXnikCgUjExAnnUVSjWJ0Oi3IrhyETZW LYN/sRcSszYiXbMaBSYn1Crs0B5vi+ZIBzTH2CM70RsGoxfqYi17Y/FTH+co PuI72gb1WgccjVMiolCF+NgsHFuQi2OcCzY4Uo599A4JE7/XA3BQxPDH7oro W88SgRO37UHraB22JTYiKl2LU/fFy3EIlrnhfHtxz+d8z3Isz3qsz3Zk7iPK sH32w/6O/yRC9k8cxENcxEecxCtxx1ns6LeJ9tFO2ku7aT95IB/khfyQJ/JF 3sifRrdV8kleyS95Jt9y/4C7rmsh93sW+lAn6kXd9gn9jggdXxndl7MIfaXO Qm/qTv3pBxeEP8g1ssI/6CcD/eZW17V5YO/1zQMT/vjvlqtYrh8yL6xGrpP+ 0KPghv3BGN9ecU3Dezuj8Hb2Eny6KgWXxPNvVyXh6MZq9AZU47sNWlyw06B5 TqKorxWxsRmvBYXjo+hVuMK5R97X49r+vXbPO6nR/qwSHywswGfKAGTkP4PV 6qdRGemG9xRb8dWWRFxZrcf7Duk4u1jE7M+rcWChCq86JMsxiNecNThhlSzP c7804KwYxvtfCAw/25GFF0Mq0VAXjgubavH1ikq8vvUgjD6n0bamF+l2vajZ cAjHwk6geWYN9s8sw0dONfjOugENu7OwsWU99ikL8I2nBhe9DPhK5A1nxe/G lLDx8pv3fM73LLexZR0aRT3WZztsj+2y/WrRT6Zdj+h3r+yfOIiHuBoFPuIk 3i88tDecoUK7aB/tpL20m/aTB/JBXsgPeSJf7yVslfyt1sxAZsEsfC54fV/w 2z5bKfnu3zP6Wo4hdKE+1Om1wAipG/WjjtSTulJf6ky9qTv1fzt7Md4V/kC/ uJ7/WPYHo//QjwbuD/bfNg9s4PWnP1r+7Ww0ZaJpynhUrX4YRY73X89VRDxc 7jIU2Z6jkOQ5DjmeD1j+ju82ApW2g6DZOA0hXQ5yTXhEl8hTeqciqW4BkvNt kFS9AAk9UxEt16g8/lf7Gss1Gq2PIe7w09hVuBYJK8Yi3fMhFLsPR6XAIPfr crpX5AATUeC2DDl2NjA5ToXe5UHo7Ocj0sET0VWh8O9eg9Aju6HO0iJxyVgY XB6BjutPHEdD5zYbftZrYbZdhhTnB6FwmYbdPWugaZqP3ZVPQNs0T97zOd+b bZeK8utkPVnf0dIe22X7wUcCsFv0FyP6Zf86+wUSj8lhKrJtbSRO4iVuuR+Z sIP20C7aRztpL+2+FR+SJ8GXolvwWLMQycUOIt9bLHh9Uu6dFtY1XvBtL3kn /9SBelAX6kOdqBd1u7YntcBAXalvoznzBt1/3Ff/OZK/Q2bH98wLk7lKHsIS zDBle6Ao3RmZuzfg+NOrUKvzRabZFXlGF5Rn+aJ5uTdOPrkYx0VMK9eszFiC pqdXo57zn4Zq5bwj7tPbdk8qqiZGIGvWDlSOj0HHvZZ9gltGaNB7nxEtd5ig 3lyOwFMOMNUsQmrqOpSaPERc7oy8FDe5ljyPH90qZIlY3lyyEJubVmFTuwfy cuyRa/BBod7LUtbkhhyufTGuQnm+N+JNITDHdqNmXAb2DTHKMxo77xE5jL0K hdO02He30XKWygi9wJWMoseysLkkFfqaBGTOy0X7XTo5d6ydZ7GMTLLkK+Kb 9/K5eM9yLM96rM92ZHuiXbZfMF0n++sS/bJ/4iAe4iI+4iRe4iZ+2kF7aBft o520l3bTfvJAPiQvKW6SJ/JF3sgfeVRvKpe8Sn4Fz3LfZcE7+acO1IO6tPfP 0xN6UTfqRx2pJ3WlvtSZelN36l8n/OCY8IcM4Rf0D/oJ/YV+c6uc5YZ5YPJc yN/928wDu/kauPb+++aF9f+d/INLv8C7754W5f6Ir06dx4mpdtCkxKBa6SBi aDu0qbdj7yxPvPzw8zg/xhpHn56Bg/PHoGecB47eEY3O0TFyX2DOPbohRu77 9J+P8uptIagdpMCu0DSsP2OLhAJraM0+qE5yQWO8iM9jHdAQ7Sz6dEZNnPjE O6M1xgGxaeugLLBDa6TIZeKd5Bkk1z+ifIwbWtVOCEmNRnFUDfaOSMCxn4Rd W1uStTgADY+F9K0tCbPkGLeHoGuoCjr/CvjWG1G5SCtyi1B5Tj3PobfkKxst +YrcOyxcvmc5lmc91mc7bI/tsv2GCSIHXnJ9jQxxEA9xER9xEq/EPcAO2kX7 aGeMsJd2037yQD7IC/khT+SLvJG/dadtBZ+pqBO8kt/+811u1oC6UB/qRL2o W7fQ78CCMVJP6kp9qTP1pu7Un35Af6Bf0D/efee09BeL/9w6Z7nlPLB/v/9V LNe1eWGv4+eq7beYF2bZz/jiTfsZy3M4VuvwBs/hWCtyFw8TvvJS44JfAZrD m3HArxHnPPVomp2Ii546XPXR4XOnDLyn9MbLsQH40oX7h1nyCLb1hY9exN+J 6JqjxiV3My4khKMzfxsaatxRFeqEC9a5+LVbGl6x0QnNktA9X4lTK5LxgZsW X67mfCmDjLuPLFTjdQfNtbNFBuZDnwu8p4Kr8XJCCuqKFfhMxM8v7dyHM7uO 4Kh1LdLc9iPXpgsdaw4iedVenFlWhavOtbiyXMTUGxqhK1XCz6jA+0YfXBX5 wCUR13+5yoBXN5iRlfKY/OY9n/M9y/kZFLIe67Mdtsd22X7n2oPIE/2lin7Z /xnfIxIPcdUVKSRO4iXuyzflXrSPdtJe2k37yQP5OC14IT/kiXyRtwsrclEp eGyo9UBn0Ta8pQzBZcFz12y15F2uk+lrm7pQH+pEvagb9aOO1JO6Ul/qTL2p +xWR07y/VovXU22lX1z5AfsZX58Htl3630B//DFf/X/n+9lnV5Dq6YWGaU+g wvPRvrGVYX1jKMOQumo0kp3GwejxCEpdLeMqlTaDoF3/FGJb7BHbOx5RPZMR 3zwHqiJrKCuXIbpzuhxniezom8/EdeaMyTtFTN5h+US2TULMvknQdYiYxP1x FLsNQYWzZUyl3HEIyhyGoFbcV7ksQZbTPKTbiJzDfTzK7ZYjc9lipAQ7I3xv MDbsdUdQYxTy126B2ckyV0zr9DBynJ4QeD2RZuMCo8sEaOwegtnrCRjOeEGT Ow7m6meRnDte3vM537NcqijPeqzPdtge281fswUBTdFYv89D9LsHpmAXiYN4 iCtN4CNO4iVu4qcdtId20T7aSXtpN+3v58LCy3WuJG9c4yN4jKtZAWWZHRLb n0N0z0S5v3Gc4F2/7klU2PSNswhdqA91ol7UrbQvZ6Ge1LXxqSekztR7oP4/ 5uuHzgvjWoSEkAKozC+g0OCIstz1OL5xExp3+6I8d5WIod2Qb/RAVqor2jR+ ODvTHiemLcPpGVZon2eD4kcT0XG/Aa0iRu6QsbIO+dOCUPDMTjT1/V2/ZSTX tYg8YHAKSp/UQemhhNnGhPTgdsQHFiFEo4FKEw5FxlZkp3mi0OiObBHH68qW ILFlBlR1C7HHqEVBymYUGETMbnLri/Pd5SfX4IKi3K1oCrRB78y5KIvuxP6H StB5n0buO1z8RBIUrvFyL+HOkeloGy7w3p+M5lFpKNrRhfCqBJi8c9D7E8sZ K10jMi1zxWS+4m75FvfyuXjPcizPeqzPdtge22X7POuE/RU9kWTZJ1ngIB7i Ij7iJF7ivmYD7REf2kc7aS/tpv3kgXxIXgQ/5Il8kTfyRx7JJ3klv+SZfJN3 8k8dqAd1oT7USeoldKN+1JF6UlfqS52pN3Wn/vQD+sOJjZulf9BP6C/0m1ut Zfl3nwd28/XD5oX9Rcabv/n6M3z8wevXnr0ZoIDe3x8t6atQH+UgY+VqhQMO RGzHhTGOODl9Ko4ueQiHHrcWOWIITt8ehvIHlWh+NB4nbw+9vj9Wf64iYvaT t4fjjHhXPDkSQS6xCHM0IrogEdlRe5AVFIfCyJ3IUaxFJc+OTLCzjDWIOL0+ TsTsMe4w6DcgO8UeDTEidr8pX6mNFXmOeh2atixGyUwr9PhV4fQQNQ7dEYST d0Si9dEgZFlb9u7iWhOZW/wkBIfvjUP75ir4F+uQuDMTDYP78q27/0a+crcl 3mc5lmc91mc7bM+Ss1j2IGN/7PfkHVESB/EQF/ERJ/ES9w15V7yTtC8rxUHa S7tpP3mQ40mCF/JDnsgXeSN/5DHM0SB5Jb/kmXwfHnRT3sg9B8Q76kS9qBv1 Oyh0pJ7UlfpSZ+pN3ak//UAr/OEt4Rf9+Tn95XfffnHNZwZe/wnzwG6+/v68 MBFf2tWL2Davb/8ng/y+5JSLN7VueF/w9ZlbOr7yTMSrO4vQtacBVyNSkbqz CeaVXH+hwRXOy1qpwUdemXgnYRWurLWsXWEMftWb8b0Oe+cm4fRsE36xW/yO K12LljoPvBecgDdDFDgf7Y6iCRrUzY7HsWVqvOWklesneC57/1mIn8lzKfXo FjH6h27XzxaxjAXx/BcN3vLPxqu+lTiQF46DumLs2/QKzm7Zh9+6lSHD8QgM T9fD7LgP5TZNOOqyD1+7CQ5W1OJjp2bUtEeL35/VqHPR4oMYL3zkmSV5+LWH yIE2ZMLcOlV+857P+f6DGE9ZnvVYn+2wPbbL9tkP+2O/6aJ/4iAe4iI+4iRe 4iZ+2nFtjpWwj3bSXtr92YAzNft5IU/ki7yRv/PRHnhL8Elemxs80FWxFu/v TsbpZ03Y+3ySyDMsekg+hT7UiXpRN+pHHaln6qpsqS91pt7UnfrTD+gP9Av6 x0B/of/Qj/rzlf/WeWB/6ltr/eqX7yE6JwzdbtNQaiV+LzrNkvtLlTkOQ5HX cBjcH4HGcZxcP57n9YDcg6rcehA0255BRIcd4g5OQGzbTKhLrZBUbAVl+2xE 77WcuxLVMUWee2g5S2TStT3DOGcsun0SYjvHIuqYCxK3zRAx/SAR04sYm2cb 8jx20X+F42BUuM1Apv1i5DguQIGzFeLt7ZFhvxBZAk9oiRKbD9gjdH8osoPW QT9rEozunAc2BsmOjyHXyRmNPp5IdxWxjtMYpNiMRsDupQg5PB0hVc+i6MBa +R0q7vmc71mO5VmP9dkO22O7bJ/9sL8tot+wEpXAMU7iIS7iI84MgZe4iZ92 0B7aRftoJ+2l3bSfPEQO2AuMH8md3CvNwl1M7yTJa2K5DZTVtojumIm4A48h ot0WyUIH6kFdqI9c5889poVu1I86Uk/qWrbMSupMvan7QD/4MV/fNy+MZ3Uo AooQnRqE4lQH5OtXoSJtPV7J1qDQ5IMco6vch4rxdI7eDWXZIiaLCMTBJ6xw 7Dkr1EyIETGvEe3DNSImT0HlwyrkzdmOyslhaL7X8rf8tmFa7L07BbWPmKBw ViPBQ4GySXr03JaGatdm6GPzofPLQZJ/KRSBJdijMsC/ajWiup+BoXouCs0i 7zZvR1BUATKMK5Fvcr0W48s4X3wKUkSMn7EerTaz8cp0OxiUOWjcuR/dw41o G5wMhYcaRZOTr413tA1NRscIE9q3dkGVpkd9UiyaBX7O6Wrv29esbUj/fDAP y/cQy3O+ZzmWZz3WZztsj+2yffbD/hTuarQPSpY4iIe4iI84iZe4cwfYwg/t o520l3bTfvJAPsgL+SFP5Iu8kT/ySD7JK/klz+SbvJN/6kA9qIvUR+hEvagb 9aOO1JO6Ul/qTL0lHqE//YD+QL+gf9BP6C/0G/qPdoBP/afMA7v5+t55YX0/ X/7sXXz7zecyd/nT775GR34m0g0b0BBti9q+MQDG1q3K1WiJ9MGBRQ/g7OPL sH+kP46JfOCEiOfLRydhH/fp6lu7crTvvJPjIs4/d1sYWh6KQqBzPHw9Y1E7 Pgw9w2KR5VWN/HSRh4SEoWBjKvJ2JSEjMA45cdtRoXJBfbw9GmMcUZi0EqHG Xajh2e6xzjeNrXA+lTPaBLaCFc/j8FOOqNqTiAMbKnBK4DlyWwgy7fagZUww TtzBNSWWXOXEoGgcWVuJwAItyhUK9IocpFLE8CfusZwHeezOiJvylQj5nO9Z juVZj/XZjmxPtMv2T4p+2B/7PSr6Jw7iIS7iI07irY/7a1vkuJKwk/bSbtpP HsgHeSE/5Il8kTfyRx7JJ3klv+SZfJP343dadDg6cA2LwEO9qBv1o47Uk7pS X+rcn0tR/0bhB/QH+gX948/Cp+gv5944hD8yNxngU/8588Buvm6cF/auddmA cyQt59t/7JUvxw2unRco4tLXE1fjknMefu2ZhNdeyEdrRCt+46PDCc8UZC/L xPHICny4NR1X3EU9rxQR/ypwvNAen/hwL10DvuCeYa7id9ZMHY66qnE8bwc6 GrxxQRmDjz3S8OYCI0pco9C9xRU/XW6SZ0W+5qDBd2uvn3k/MH7/SMbviXJ8 4MrA+U1c9+Gjx9Gwanyy04jMCjV6A4/jrfXd+K11OV73PYKsefuQMLEB1Y5d OL97L14MOIgrVuUirm5GdUMU6qv1eGNnOTqXx2Fvvj0+X6fEJWHTV+7CXv8c xB2dKb95f1k853uW67SKwwVRr07UZztsj+2yffZT7dSFhMcbkCn6f33XYYmH uIiPOImXuIn/swE20b7LMj9LlHbfkJ/1cUOeyBd5I3/kkXy+Od+Ij93T8IYq Fh3Nq3A6fwtOuCWh42md0EOLL9dY9KFO1Iu6Sf2EjtTzhNCV+lJn6k3dqT/9 4FPhD/QL+kf/eaH0G/pP//n2/edC0s/+m+aB9ceor3/2FoL2hiBj21S0Wo9G 7fwxqHVaJHLb8cjwHAGtx1h5HqHGYRxSvcagimMfVoOQFzgPYQftkLB3ChIq FiOpSOQt9c+JWOJxOV9pT/s4hIlYPLzzUYR0jBU/W/bo5X5XMe0TEdc5EcGd jyH07HKUxi5A+fLBcozg+roLS4xftnIUMh1skOM+DYYFK1Cy1A4prnORbHOf iFE2I2zfDuw67I5Y0x6kudogfZUz1HYjYRb41Y72yHR3Rb3HbKjdxkDnLPKN xSOQkrkS0cefQWDbMlSdjZTfvOdzvmc5lmc91mc7sj3RLttPc7UW/QVj5yF3 hO3fAYPvZiTb3idxER9xEi9xE/+Na+AtY1O0l3bTfvJAPmLkOZqTJU/ki7yR P/Io+RS8RnU9juiGuUiscIK6bhkU+6Yg7IAtcoUe1IX6mIVO1Iu6UT/qSD3r hK7UlzpTb+pO/Qf6w4/3+tvzwtTB2dAE5iNWpUVWmhsKDauQZRD/5mdtwtGi APGz87VcxfIRcaveGQXZ69CzaTMaRok4Q54tr0XTEBNKRSxcOHcLKh/QoJ3n nQzXynGG5pEGmJZpELtKg6JpRvQMNqFriAF779Og9Pl66MPKoQ7IQ3y0GSH6 OASZohAqYvKIuAwkG8JRlu4ItToUvmYlMjJF/0aPG/MVjq1kbkR5nC2OPDkf JxetQVJJCGIUuTi0sRtpc83QPReHnp9o0TXCgI57tTJ/6N3aC2VcDvzT01E5 TYHWISq0DjfI+L6D88hEbtI6kvmKp/yWezPLc1y0shzLsx7rsx22x3bZPvvp uVMD/dw4pD1vljiIh7iIjziJl7gHjrHwQ/top69ZJe2m/eSBfJAX8kOeyBd5 I3/kkXySV/JLnsk3eW8eYZA6yDVFAj/1oU7Ui7pRP+pIPakr9aXOeQO0px/Q H+gX9A/6ifQX4Tf0H/oR/ek/aR7YzdffmxfG3ISx5ScfX8Cf//THa3V+dfFt NBUHy71y6+JcLPlAvAPqojxRolmAwvqZOOqyCYfu3oHDd8aK+DdUnpmYO0WD I/1nLt5tmXt0VsTL++4Ng2JZHLZ5q5A/NQ5nbg/Di7eFo3dkGDKfq0DZrhSk Gn2QGxmMkk16FG9PQv52HdIDE5CXsAkNqhUojNyG4EJvlCY6yvPdbxhbibFH U9IaNPlZofjZpTjxrDsK9TuRG6TDy+61qJ4Zg8JpO3H6Nu7jFYqjPxF5y93R eGlNBQKTc7AnTYeuUckirg9G7lQNDt4daTnrsS9fiV+y+Vq+IvcYE+9ZjuVZ LzhNK9the2yX7bMf9lcg+mX/xEE8xEV8xEm8xE38A+2hfbST9tJu2k8eyAd5 IT/kKUfwRd7IH3kkn+SV/JJn8k3eyT91oB5ybIn6CJ2oF3WjftSRelJX6kud qbfUXeKy7J1Mv6B/9F/ffvcNPvzwdelH/fPC/qPmgd189dnw1Q3zwix/C79k V4cP3CrwqbcOV93MeG9DMt5Ms8annIfkocEvtqdiX0QdvtpoxEvzlWjwMuGV DcX4aEsqDoTV4kvvZBHrmvGLbXH4NMQHF92y8NVaDX5mZUTrbD32x4Sgp9sN B9K24BVPLY49p0fn8yqcXKrBeR81vgj1xldeIu8R/TfNS8JLNsn4evX1NRdy fpS4f0PE5scW3rgeg2MSxPhGQC5eCqzEYY0O1Wki93LpwqWlJTjm2Igkr8PQ zwtF5fajuOrVgLOeB/Du9lZ8M68NvUkFaC9Kxqndrfh8kxaHnjHjbb/V+HBb PC57mvBrNz1Oh2bA9/Qc+c17Puf7t31X4+BMs6zH+mynNykfX4t22T77YX+V 247K/onjqMBzaVmJyAO7JE7iJW7i/2LAGEv/eh/ae4Hz31Zfn//Gd1+Ld2et kyVf5I38fSl4fFnwSV7J77G5OrzqocWB9C3Yu88dB+KC0TZLi59aiTxsbbLU iXpRN+pHHakndaW+1Jl6U3fqTz8gRvoF/YN+Qn/5VORSH7hVSj+yzAOruTYP 7Kv/knlg/b8jPv7sAhTdq5Ga4YBim0Fo85iG/MXjUeMxHnkeNjC6Ws6t19k/ ihSPR1HhfB9yVgxDtnIBzCftEdc4B+rc5VBWzUNUz0TEH52K0IPPIr7zaRQf coPpgA8S965G/qHVMHbPQ+T+mYjrHo/w7onw630KO4/OR3y+O4qW39t31uH1 mL7USdx73IeslfOR5mQncM0WMc8ipDhNhN7xAeTYPYPI4mSsO/EcYuoSYfaY Cd38J1Ds8jy0zg+gyGYh6l3s0G4/X+QYPCdmLIyOY6CynYjQwmWIPTAW0Xsd UXJOJb95z+d8z3Isz3qsz3bYHttl++zH7DkTMbWJov85EgfxEJfEJ3DmLZkt cRM/7ZD23JCzDJd2037yQD7IC/khT+SLvJE/8kg+ySv5TRA882xJRe1CxJXY I7rlOaSesEWWYj5yrYdJnagXdaN+1JF6UlfqS52pN3VXCv0/En4w0C9+rNfA eWER6SFIDCyS83V0QTmIDs+DJms1SkQ8mm1YjfJMEefEilhI690338rjhnGM QoOIW80OUJlzRVxTg/a7k1E/yoCSOdtQ8ESoXOPdwXlT9+rQc68B2c/oEbM6 CaYlyWgZnoKeewzyLEV+eu5JQcuIHJjUVQgwh4pYJhKRCh0Sg0QMvrsYJr9S EQMXwj9zD8KTtMhQxCBPaJdnvDGHyje6oTh7Cxo9Z+Hko9Y4tW07Iqt3IGZP GvTR+cjMN6PctRVlk/PQMzIL7SOyUbu+G4kRBYgtCke1TRlqxgWiYDLX1qT0 nT1vRufwNJGnJKFtqaf85n1n3zp9lmN51mN9tsP22C7bZz9lk3NR7tYq+ycO 4iEu4iNO4iVu4h/Is7RP2El7aTftJw/kg7yQH/JEvsgb+SOP5PM6twbBt1Hy HuOdKHXoudcodaE+ci2+0Iu6UT/qSD2pK/WlzjeO+1jW2dAv6B/0E/oL/Yb+ Qz+iP8l5YMK/6Gf/CfPAbr5umBd27RxJC/7vvvsSv/jwDfzxj3/gZi24dPkN GLQiV4/xQm3fPCSuBa+LFjmnfglyi55CZYItShSC7wmZOHp7kIh3I9A7LAZV Q1U4JeL0QyImPiPi5tM8831mLDaviYdqcTQODrbkL5az30UeMyISFSNEzulb jJxticgwipwyIgTFm0XOslOJkq3JyN+hQYpiJxSqPShJWiniZ8cbcxXiEzF1 i2o9ap3noHOcA855bEZa5nokRQYhNykQedlx6F5ejI5HtDh5TywODIrDEc8y qOPTEF8SjAOL9DhyezhOiri+apgKvUOjRS4Sdst8hc/5nuVYnvUOLNQjQbTD 9tgu22c/7K9L9Mv+iYN4iIv4iJN4iZv4a28aZ6GdtJd2037yQD7IS5HgJysi 1MKX4I38kUfySV7JL3km3+Sd/FMH6kFdqA91ol7UjfpRR+pJXakvdabe1F3q L/DRH+gX9I/Lwk/oL3/58x/xyw8vSD8a6FfyXMj/kHlgN1/X5oW9Uoafrom9 Ni+s/8zIz7w4d8uAtzKs8N4WJb50NuHSJgNOR5fjy+0pOLkwEYfmqPBWfB5O hpbjW5dEnA0txSu7C/CtvchhNOvwsmYDfueYjpeWGJC/aQ+a6rzQmr8R+92S sX+mAYcWJOENx2S5hvtr7xR8tFaHL3Z545J7Gj5fpZX7YzWLGPzcgJyFcTrX nx+3SsZLdhq5fxbr8/O5h4jVN+jQHdiCA5Et0BeJ36lrcnBocgWaZpch0+s1 lPpsg8LDF/s3nsE3rmU4vfUgLi5uwwlFNuq6fXE4vA5vb8/At6uTcXpeCrqi 1+It7QZcdUnDl246vBxhwobji3BOfPP+qnOafN8ZtVaWZz3WZzt13X6yXbbP ftjfPtFvgocfygSObK9X5Xn3hyZVSJw6gZe4iZ920J5+22gn7T3et79A/x5i 5OWcbV+uskoveSN/5JF8klfWf8NRg0PzkyTve92T0Vq0CS0N4t8Fns222IDf Cp2oF3WT+gkdqSd1pb7UmXpTd+pPP6A/0C/oH/QT+gv9pv+syP55YPQv+tlA v/uxXpaY9C/49je/Qm6jHQxdHij0fgyF9nei02cxSlYths5L5CT2K2B0WACd 42hoPcahxGEwql0eRHKpKxR7raHInw9FxULEHH4eysNzoGpzRJ7peaQlOyB1 7VjUi1i/wnsCyrweQ6PXWJStehgpycsR3+2BXYfmY337NIT3rkS1+8Mo5dp+ l2EoY57CMylFbF/kej/SvR9H0mxr5Ni6ImOBE7IcpyLZeTQ0tiIG3xWM3Yed EHRgDcy7diLF8SHkLp6PZOuHkOg0DyZHJ5R6rECj/WNI9XgAaufHoLMdjRSv qVCcWIPQ1lHQHHKB6YxKfvNeKZ7zPcuxPOuxPtthe2yX7bMf9sd+A0X/xGHe uUfiIj7iJF7iJn7aQXtK5XmOw6WdtJd2037yQD7IC/khT+RL8ib4I4/kk7yS 3zzTPKjaHaE8NBvRh56Honop1BVLoDpojaRiF1Q7P4hix8FSN+pntF8g9dQL Xakvdabe1N3Q5S79gP7QPy/9x3xdnxfWLufppOwpREJQIeJTd6PU5Cr+vV2D rHQ39Ch3oMTHF+ZUbxSmuN6Yq4g4OjvVGbtNEYgLzkWqbw8qn1Ii5+ltqJgQ i7b7RYw/RMQdg/UonaJBrKcaGnstGkelYO8gAzq4n+5wrp1IQdMwA2rGx6Lg ST8khRuhSDIhcXc+dAH5MAblQ7unCMnB4ndvoMipQnOxSa9BdGI0ik0OAsuA HMrojOKMDaiJd0Pv03NwcpoLGmI2IyTLFzGB5UjQhCPeEA5dZDUMITUoDd0v YusTUGVUYXu+EgkhTei6LQeFTwUgbVoI9g0yi1wjFT0jRK4yxITWB9RoXuIl 54Pxns/5fr8ox/Ksx/psh+2xXbbPftgf+2X/xEE8xEV8xNk7c47ETfy04zrX HtJO2ivtFvaTB/JBXsgPeSJf5I38kUfySV7Jr+SZ52MK3sk/daAe1IX6UCfq Rd2oX5XQkXpSV+pLnan3wJyF/kC/KFntK/2E/kK/of/Qj+hP9CvLPLD2G/zu P+m6YV7YLy7J3w2/+8Pv8eZPj+AvfWMrv8Xvka2LRrnjZhGzWuLU+lhH1MS4 Ice4GFnZs1ClcIQpxh/ZO5NQub0Yh4YoRAwchMpHVagcpxQ/h4pPGEomhmOH ZwLCHRLQPSJKnl1ybMC8pGMi7j84PBJ1d6nQ7JKFUn8NCkQ8nm5c25ezGFC4 U4WSF5KQu02HsIyNwuc2oDXa3rL2vC9vqY9yRKNiA3p22aJo7vNoXrAQTYql iKpYjtSoUJH7+iMuaxVyw4wo35GJ5oBqZG9vRbKpAmuLE5G7PRf7bovEydu4 Nj4YNY8koHpsojxTpX9/sGv5irjnc75nOZZnPdZnO2yP7bJ99sP+2C/7D0j1 l3iIi/iIk3iJm/hph2X9iqO0j3bSXtpN+8lDkeCDuRz5IU/ki7yRP/JIPslr /zw88k3eyT91oB7UhfpQJ+pF3agfdaSe1JX6UmfqTd3/P+7eOzqq81ofvjfF ccG9d4zB9F4NCKFeRr0huuhIAvXey3SNZjSjOuoNIYFA9G5AdIwN7o67Y+OG cU3yS27i5Pn28wo52F53ff9ePGuNj097934Ko71nzjkv9acP6Af6gv6gT+gX 5S3xD31EP9FXP84LecNcB/bz17Xrwn74C97rTcFbHi24op7p1IVPNW34LLAO r+QvxjsZq6Qmt+KzaAP2pm/FB+sqcHxGEY7MKcVfwnU4t64Jr6dU4+sAnRxj xpHsDny4uBqfJ0fhi8U67A0woLRI/kbVh6BleQL2TTbi+XlafBiqH5jPMfLa bwihZfhces4raxfisxAHvojQqfsyftKzLJDeJNSIq1FGHJpRjHf99fL/UjNH 8FllOlxeVIaeNS1whjWjLVyLFFM+js3cjA/mN0ue/Tiwdgt2hPmiYslJ7HPr wdWgThzMPoOz67vRvjUNF5IacWFjM74K06q8znlKfxychatpC/BxcCW+CdLj 5TQToqSe5JLr3M79++W4855GdS88z39exuF4HJfjMw7j7XPvUfF3hPviwJot OLv2hMqPeSZLvsyb+RMH8RAX8REn8RI38ZMH8kFeen/sVYyKN/JHHsknef3i 2j375Ju8k/+9okNzTCIqm0Jh0EXjQIBW9JLeMSlK6UcdqSd1pb7UmXpTd+pP H9AP9AX9QZ/QL/QN/UMf0U/0Ff1Fn/3arwMbnGvjH/Le+nI7jCcCUJk1Ew0e t6E58FY0Bk5AU/Q8lPjcD2PAU6jyDIAj8BnUe90k9fgEWHrCoe9xR0HLXGgP eEK/zwc22zzY101Ea/AjcHrcjja3m9Q95o0+t6HV62Z0+PwBDQG3wRF8H4ye 98KoGY21leGIOxGE2uSpEvsWNAfcJZ9ndwy8fW9De8AtsAUPQ82suaiaOQMO 3zGo8/WF0f8JlEs/UOvujaSWRMScmYpcWwnK3J5R12vVLZYeO2AqrB7eKA+Z i+2+k9HhfzOsmoH+o0x6jZS4ucg5PBWpfY/AfMQPmUey1ZLr3J4s+3mc6lfk PJ7PcTgex+X4jMN4jJtrK5U8piGxJUHlxfwMkqfT1weVkjfzJw7iIS7iG8RK 3MRPHsgHeSE/5Il8kTfyRx7JJ3klv+SZfJN38q/b643Sg97I6PJEyQ4fWHvD YFs9HvWev1f6VXkEKD2pK/WlztSbuldmzVI+oB/+8TOf/Dpf110XttuAFPmc yCs2oapC/qYaFkhtGoiumvXY/mwoTqxaj/o6qaGNAf+5P8QUgmqbBon2BJRs bIQ2oQppFQWwFdrRyedm3WbGfqmDtzxgRpGnDtnBJWh6hrWx1M93cN4PI3bc ZkHPPXq08h6KKWvQOCYJO/6Qh82ufdCmtcqYDlg2OmGRuleXNHC9mj7eiRxt AYy1QSiqi0KjKfAnNbTTHIQ2x3r0Rk3GqVE+ODYjENuql6M0Px1Z6TUosK1H 4cZ66RWqkGvNxs6yTBwUjDs9JqO9eQHKK/TojqpFesgmbJqVKTW8HTtvKsE+ qfP3/UGPHfeVYsv8SLXkOrdzP4/j8TyP53Mcjsdx1fgSh/EYl/GZB/NhXsyP eTJf5s38neagn/SGxEm8xE385EFdvye8kB/yRL7IG/kjj+STvJJf8ky++9Q8 lnqlA/WgLtSHOlEv6kb9qCP1pK7UlzpTb+d1v7PQD/TFiVWxyif0C31D/9BH 9BN9RX/dSNeB/fx1/XVhl/74sfr/K19+gO//8o26FwH/8z12Hu9E49QQvBy+ Bt2maGzOlN4gJxCOihmotjyLjnx/WAtWq+/6G1dIfxKvxe7wNhy9OR1ddxai /3eZ0vdmINXnWm38tNQjUhuzxv/5fd+sqw/emoW+/07H4Vk1qNtYJmMWo37V f3oW/o7QtKoUtrR0OOomo9bkjy2ZGumNA9CVFYIuqe0bdK7orPbCYfkMbfIY j/1zp2GPaQGcietg3mhGijEZxYXpKMmORV1OIo5krsGxKcFweLui1yJ1Yn6W 1I1adE9owIkhOdgrODp+l4Ozv0nE0f+WnuqWZOTNX6GWXOf2zt8NHMfjuyc2 YG9gqRqH43Fcjs84jMe4jM88mA/zYn7Mk/kyb+ZPHMRDXMRHnMRL3MTfLDyQ j6prvQp5Il/kjfyRR/I52K9c/5wD8k8dqAd1oT7UiXpRN+pHHakndaW+1Jl6 U3fqTx/QD/TFy+FrlU/oF/qG/qGP6Ce+6K8b7jqwn78Grwv74mW8UbwSH3vs xGd+HbjssR1vpCfhDYs3LgdU49vIEnVfxaW4Rjw3vQD9Llp1TdLVKD1OpLXh o6hyXAmXulXq9PdW2LA/azsOtXogN2ERlpT4om59PI7OM+M9dzO+lHOuv3f+ x+uaQsvx9aJ0XF4XIz1AtXrOFPcN9iz8/YDXPH0v534casDueaWyXXod8fWL gXq0hNcgb3E7DBHteNNDPkP1xThorMY/5vbghZj9OBV3Bj1RXti73Ip9S8/h 6LgGXPbbjq0ZL6B5ax5eT7ahP2kzPllkxhUZ/yvpCd70NqB/Tg5Ot/jgcrQW XwWY8VaaHlFbfNSS69zO/f1zc/BHOZ69BM/nOByP43J8xvlY4h0dV499S85h n+TRE+mF05LXhRX7VZ7Ml3kzf+IgHuIiPuIkXuIm/u+vvwbsWq+inr8mvJE/ 8kg+yevgdXSD9+h/Tf5Fh/c8zDjqYkJt3AYs1XmjKHEBnmt3V/pRR+pJXakv dabe1J360wf0A31Bf9An9At9Q//QR/QTfUV/Xe+3X+fr32ou83/+889oPWFB 3K5JMDf5oNbzbrRqhqAu8kFUBnhB7/kkTP6Pwuj7IKp8R6nfFWqK3FC+PQpF XV7Q7gyDZZM/7OnTUBf8OJrcb0Ob161o5rO8Au+SWnhwPpA70BhyDyrCH1Jz j2g5vyPnf/S8D/khI5B6oBTOwHvQ6j9Qu7fw+Vl+N2OTbLNJb+CYJ597k2ZL n/AIbN4zYPV1gT7gHujcpsARF4s1J10Qu3M1LMELJMf7UeT9JOxhy9DhqUG9 /wS0BbihXXMv2v1uhd33fjn3Sejn3gu9XYOs/ilI3fYIyo54YP2ODWrJ9UzZ rpP96jg5nufxfI7D8Tgux2ccxmNcS1CU5LEGq09KbxUfB4PbVOgC7lX5Mm/m TxwOFz+Fi/iIs0U9/+wOhZ88kA/yQn7IE/kib+SPPJJP8kp+yTP5Ju/kvy7k cdFjKso7/FC6O1J6lkCU7V2EuhJ3lIl+1JF6UlfqS52pN3Wn/vQB/UBf0B8D c97fqH80/v9fg9flvP35m4itSUORdQWayyKkDpVatGYR9i9dhTMPz8Cr62PQ XBuNauNAb8D7Kaps/kiqkF5lQyOyM2zYUJmMjOJ8FKRvQq1HH3pu08M0txSp EUWommDEnltN8jZgxx1G9End3C31fuPIBNRNWY3mkYmyrsXOWy04cJMRPY87 UJe5Rc3PbpXanr8jDD4LID+hAQUm6YlNYYgrz5IaOkA9s0rdU2EORZt1OTqL w7DXZTzOP+mJ/YtWwl4XgQx9HvIsG1CYY0Jabjm01UvRY1qJk1MjceRp8eN6 V3Q7pJ40e6DeGYUl1UY0mJphXbQF2zU9aBrXgkP31qjnanVPCVTLQ/fWqu3c z+N4/CI5j+dzHI7HcTk+4zAe4zI+82A+zIv5MU/my7yZP3HUqWcVByt8xEm8 xE385OHHe9qFH/JEvuoyexR/5JF8klfyS57JN3kn/9SBelAX6kOdqBd1o37U MU30pK7UlzpTb+ruvPY7S7X0K/TFq7Exyif0C31D/9BH9BN9RX9d77cb8TVY O/79H/+Co+sALr9zDj/8c+CbjedePQxH6EK8eftU/DF6MbbrI9CR7YfK2olw GlzQmauBtXCl1LJa6SFK0LCmBHUrC+CUerlnTgNsT5agwCUbqxbkwjY+F6d+ m66uPVL3sdz0y2cb99+Uiv2/zcTWIXk4en8BtsbVoW51ARqlDmctbmPPkpGI 2qVWVOcvg7FxEkryE9BV5CleckWTbQqs9WPQVDUHOwqnY/PcCdj1lB+e94hB uy4MNZkbsaF8A7SZRahIykBVtSv2ZKzC6ZH+aBntjm3LnsW+osXYnOuKHnMY DOy541vQGFGL6hXd2DLcgjO35Usvn47sKQvVkuvcXh3TrY7bFt+szusRj3Mc jsdxOT7jMB7jMj7zYD7Mq10fpvJkvt2SN/MnDoVHcBEfcRKvsWmSwl9HHoQP 22CvIm/yRd4Uf8Ij+SSvv3iG8TUNqAd1oT7UiXpRN+pHHakndaW+1Jl6U3fq Tx/QD/QF/UGf0C/0DV/0Ef1EX9Ff1/vtRn395HlhC7Nx1X0n3pXPyQu6hfg0 Wq9+Q7gkn1kvpdbj0MwCnHLV4ptoqXdD9PhgmQ3H0ttV7ft5uA5fh9nwdbAD femJiDGNRrrZDReiC/GJTw3+EmTF1cgyVf9+FvHTOUZ+7FeWpOPd9KX4KKRK 6uqBfoXzj1yNGLhnZdfsUlz00+Md3lf+jPybcpV/o0EO2GLacSimGkelpn4v rhLfRVrQ1q3De5GyHr4Fh2JfQn+YDh0LfHE29hxeWtCH3eMa8a7PFtibdDin T8fZuE68tr4a34RoJT/TtXv6ddg+04IPcqLw6cICfB1UjvcSdYgod1dLrnP7 +7Kfx/F4nsfzOQ7H47jndOkqDuMxLuOfkTw6JR/mdSD2FbwbvlXybUVbjw7f RVgUjqNprQoX8REn8W4bkafwvyg8kA/VN0YM8DTQ3+kUf+SRfA72K9c/H5n8 U4cvRQ/q8ol3Nc4vKEKaxR0rHaOxIzUBX4U4lJ7UlfpSZ+pN3ak/fUA/0Bcv iT/oE/qFvqF/6CP66ZOLrT/x2a/1NXidz0dXXoV++3Tk7fODM+IpVY9Xhd8L Q+BYOLz9UBb4BIy8bsrzfuhihqOpZQXytq1GeVcYbFVSI60djXbPO9SzjFs1 t6E1+E553yX1/B1qnsJmWdaF3I3ysIegC+Jzqgbu1zf6PQoDn1vl/qB8ps6D 7ownzHlz0OIutXvArejU3Ilu/zFSS8vfON/ZqPXxht1vMsy+D6DOU/Lyfwo1 mlEo8wjDhq5ILDsttfiGWJS7jZb+4CGYfB5Hwdi5sGgmwaZxQ2fgSNUXtEtd X+V3n+TwCLQBzyCpW4PsfU8gZcdQmA66YF3bQrXkOrdzP4/j8TyP53Mcjsdx OT7jMJ5O85DEHwPLxjjJx0PyioDeKwJVmtEq31rmLfkTB/EQl0OjQY/gJF7i Jn7yQD4UL8IPeVJ88TkHwh95JJ/ktfkaz+SbvCv+RQfq0eYlvc+a0SivDIB+ WzRyDySgpTlGdByh9FS6ir7UmXpTd+pPH9AP9MVHV177iV9+ra8f/j1wPcvO j8ugrZ2GBsNCtFSFYFtGPA5K7dA/0g1ta8JR55Aa1cxeJVjVrMnlKcjb2ISM kmIkVSUgK80OYxzvpahBU2k9KhcZoX22CNvuM2LvLQZ1X/e228vQ9RDnPNmI monr0DosfeD5xlI/77xj4Blbu243qfkUq5b3wZJSJ/V4zX+eiStjF6ZI31K5 AI3mcCRmymeu1MX1vI/CHIk6UyjaHevRumIK+sfOw/FRvuhNWo6aqkVILC1C rjkFubllqHQGoN68BjtmReL80PnYuUg8UBuDalWHS4+gD0R9pR8SLLy3pwnG vEYY0lrQlnII9qhOHEzPVkuuczv3l8hxPN4p5/F8jsPxOC7HZxzGY1zGz5E8 mE+C5MX8mCfzZd7MnziIh7iIjziJl7h1gr8wpUbx8Z9nBtcoviqFN/JHHskn eSW/5Jl8k3fyTx2oB3WhPtSJejlEt0bRjzpST+pKfakz9abuAz1LsPIDfdG2 Olz5hH6hb+gf+oh+oq+u99mN/OLvQ7w3unFvNfqONqltn12+gKqiHJx4bD6e f2Au+iKCsak4ENWNI9Gsd1HfrZfzd5XVOlXL1ktNW7+6GK0xOjSsKkZNofT6 C42I98nD3tsz8MJ/JePEf3N+k9Qf773/Rb/y+1Ts/W0WOu8vwsnbstER4UTj +iKpl4vRuLIUDSv0qNQtQ0VmGupKA9BRNRK5JRtRVj8ZzbbJqDe6YVOuB7YW rMNuvxnomOqNE4+LfjGLsaU0DDn5WYgvS0ZdQi46TJ4wtLhh/wQ/NI0OQHfo WHSVLkJnHu/JkHX+jpTvhbKkFLTFlqCwsA61G8qxM7YVDZoqWBO1asl1bi+S /a1yHI/neTyf46jxZFyOzzgHJJ5e4naYpcdKzFX5MC/mxzyZL/Nm/sRBPMRF fMSZW7IBHZUjUSv4yQP5IC+KH/IkfLULb+SPPJLP65/Ndn2/oubv5Fz3ogv1 oU7Ui7pRP+pIPalr/WDPInpTd+pPH9AP9MUO8Qd9Qr/QN/QPX/QTfUV/3YjX TP7yNXhd2F/x3pZkvOLbhrcMMXg1ToerAWV4d40du9O2YLt85pzjvRMLTPg0 bOCZwWflM/W1dQ58G6yX2rYaLyxLEM+I79bNQrWlAp8UxODlcg3eLg7Fy1mr 8emifFwOt+IrjR1XQsoGnusVKb1LxMB9618vzcArxdH4UGrlr6Sm5jVM36h4 RvwxwIBjLqVoeSoPzhGF6Ai1Y2dSO84kNeGbxSZ8stKKY6kd+LNGhzOZ8jla LWP6b8fhDf14P2o72gM1OBNVi/71Z/FFSCf6h21FQ2EFjuSU4sOlDTie2opv pHf47Lo5Zz6RHHbPMONSYSQulazFVS8reoLysSBrJnqC89X6peK1uCj798hx n6g+4No8jzIOx+O4HJ9xGI9xvwjukDzOqHyYF/N7bsNxlS/zZv7EQTzERXzE Sbydgpv4yQP5IC/khzyRr6uSA/kjj+STvJJfNS8kn50mvJN/6kA9qAv1ecWq wSf58rfVYkfX+llKxxeWJihdqS91pt7UnfrTB/QDfbFH/PHuWrvyC31D/9BH 9BN99eu/Doy157/w1icXkbV3MSpO+aAqfhqavG+GI1L6h4CHUevtgUrfKTDN v3NgrhHtbOiOBaD8kDeaDRvRtHwcGvxukVr8Dtg196M6VOrwiAdREf4g7GEP whb8IGql/rVGPoTiQKnlpZ43Ss2v6m6++ZuNj+yLGI3ivUFI2/cQ9Dt80Br0 MLZ4j8B2L+lRAubB7PfEwP0fXj6w+Mp4fhNR7u0Oc/BTcM7xQFlKEFac9URa 3WLYXX1RpnkcpqBH0PbsdNSMfxJlQVPk74QbuqQXaPa9Ax3+Q1DNeeo9H0bR 4gko7fdA2o4nkbbrKej3TEO+abZacp3buZ/H8Xiex/M5Dsdr0MxX4zMO45kC H1bxHfO8JZ8lKi+z5NfAPCXfcuGU+RMH8RBXmeAjTuIlbuInD+SDvJAf8kS+ yBv5I4/kk7ySX/JMvsm74l90UHqILlWca0V0al42Fo36jSg/7D2go+hJXakv da4VTqk79acPqjZMU77I2rcYb316SfllwDe/vpf6vlv+Pr722buoqIqGbov8 rXf4o8MYjxNT/HFm1BwcmhIAo3YD6iwa1El9ymuCNurykZXiRLojGRv0BShJ rIU+thm5OWXIM21EljUFtau3YP9vy7DrNjN67zSj47Ec1E9Yj/pJa9H2ZDZ6 7zCr+yrU8415HwvnjryD85zYsPcmHbb47IQupxmlGxwDz8TlvSsbatXzsKos wSiri4A2XWoFwwKpnaWmN4WhyRaBJu0S9LqNxNmRGpyc4ofttnXIqFiBnPI0 ZOnzUVsZCLtlLbrco3BpqA8658q/E3M02m0LpP4euD+nyhyKTrsGubvmYmNu hWCrgiGpEqb1tUhPa0VWd5Zacp3buZ/H8XieV3XtdxGOx3E5PuMwHuMyPvNg PsyL+TFP5su8mX+TdrHCQ1zER5zES9zETx7IR+m1357IE/kib+SPPJLPvmv8 kmfyTd7JP3WgHtSF+lAn6lUjulE/6kg9qSv1pc7Um7pTf/qAfqAv6A/6hH6h b+gf+oh+oq/oL/rsRv59ZfDv4v/85Wt8+vFFGBs34rW39sNQZ8TBkZ549aHp OPWUL+pS49DYJp+Lpjnq3oWy7HhVuzauZq9SjKaVJdKP6mHMyEWcNQ4bKjag MbYBvb+X/UNL0fhACbofzMfBmzPRf3MqTv0mRd2n/uNc6zdd61d+l4XmJ7Q4 9V8bcHCuE83SC9Qv08G5thj2DXmwZm9AZf18dHbcDVPrNFQnSn/D+UiygqRH 0GBLQTD6kqOwdeZobB4TiJefdseB/FWoKFmAWEs69AWp2FrkhYac9djtNhN7 xnqifs4M7EgPx46icHTlDD77amBuk84SDWris5GfbIU+2wznkiIUWuIR1ZWt llzX55hRIPt5HI8fnCNm4HnPvmpcjs84jMe4jL+12Evlw7yYH/Nkvsyb+RMH 8RAX8REn8RI38ZMH8kFeyA95Il/kjfyRR/Kp+pVrz2ZTc9n/7hr/ogP1oC7U hzpRL+pG/agj9aSu1Jc6U++61XqlP33QZpqrfEF/0Cf0C31D/9BH9BN9RX9d 77cb+nXt3/v3V97GmxYvvLrUgcvu2/D54jIczuhAt5sWL3hIrxItvcO1ueM/ WGnB0VTOeW7He5FabF3hgZaVk3Bu+Tp8H2rFa2ub8fzqDqmRtXh3dTb+mLME r5gC8YohEG/kLsOf+Pww3ruiceBKkEXNZ/jt8gxcqgzG5QU2fCI18kVfHZ6b XSo9QzGOzyjEeX89Xox1IiegEZuW1uHbNeW4Gix9VbgeBzM248MV5fhaU45t VVLzZ9Vh37Ln8eqifuwLjcWOkOV4eckZnF6xF/906UFjfCU2tOlxNqYHx9Nb 8PHScnUd1xcR/3ku8tUFRhydrMOl1Zn4MDUcfaPKcW5hATJ1U9WS69zO/TyO x//43OWIgevCOC7HZxzGY9x/zO3GGcnjpaVnVV77Jb/XFh3H3mUXJG+nyp84 iIe4iI84iZe4iZ88kA/yskf4OcLfnoSvT4U38kceySd5Jb/kmXyTd/JPHagH daE+1Il6Ubfvw6xKR+q5JcYD74q+1PlYWofSnfrTB/QDfdEtfQt9Qr/QN/QP fUQ/Xe+vX+dr4O8lv+Xb1p+F1P3joNO6os3jFliiOLfgQ6jxH4caN09YXO9F 3sqJqOoLg/F4OBxlc2BfNBR13lNg85sBk9TDusAnBuZi8XkMpVJDqzkkgx+F I+x+NATxPvm74Qi9HwY1Z8tjA72K+m1FznF7AEVmd+QfHYvMvqegPRSGtvjV 6Js/RuruZ6SefgDlvg/C4eGHCt9RMPndi0qPuXAETke+jxcKA9wQvz0Yqw4H wRweBJvXLOg198DgOwN1HpEodJ8Jh68fmkMeQ4vPrep6q3bNENSEPAD9nHtR ZNQg7egkic054oehdMd4VGcMVUuuczv38zgez/N4vrpeTcbjuBy/0F3iuUeq uLxGzeY1E+aIYKyWvJhfcQDniPGGI2gGqiR/4qjwHa1wER9xEu92wU385IF8 kBfyQ57I1yB3ikfhk7ySX/JMvsk7+acO1EPpIvpQJ6v/DKWbQ/SjjtSTulJf 6ky9q0V36k8f0A/0Bf1Bn9Av/7r2bIZf24u4+A1F265S1ORLD+D0QN0BN+z0 jkH/yLk4PtYV52YEYn9VKirNvqixBiMpz4z0YhPiKlKRWaCHbl0rSlOrUaCV usSYhKJ8A0qkjranbEfzyCa0P5KOWqmNG8bHofPRPPWd/s4h7FP0ak717Wpu 9YH51Xv5e8C9FdgvdXXrM41wyGdVSUIldIk10ElfULShEQW6TDRavZFVuwwJ WfWoNS5BoyUU1SZ/NDtWo3XtTByePAvnh3thT9BiNFRGI7F2BRKqE9Uc7LUV a6WmX4QXh3vi2LTJ2J7nhipHjJx/3fN6TcFocIRhw5ExyLavRGFCI/TJlViZ 0YSsJOlXnGvUkuvczv08jsfzPJ7/4/OeZVyOzziMx7iMzzyYD/NKrI1ReTJf 5s38iYN4iIv46gRnouAlbuInD0Vqvs8BfsgT+SJv5I889g5yTH6vzWFP3sk/ daAe1IX6UCfqRd2oH3WkntSV+lJn6k3dqT99QD/QF/QHfUK/0Df0D31EP9FX 9NcPuNGvB/sX/vHP/8Grrx5RHwXvfHgRZY052KlZjhcfmInzj87BxacDsL/b F03mKdicE4rydOnbV0ktsboYDatK1HfwlfGlSDWlIq48Qer6HHUfRdf6Gux/ XGqE3yZhz51Syz9QiIZHS9H0aAk2yf/vuz0Lx/4wMNdiv7xP/D5Z6utsND5p UPeF9z2mQ222HrasddBq18CetxbG9Ew40jeiw/kIDFVesKwtU9/183lam3K8 0VsSI/XWNGye6oKjw9xxfE4ktheHIaViOTbYE9BZ7Iu24pU4NnEBNs+ehIqw p9G/ai46SpagK9vrJ3PL8/lcPbk+qM9bCEuKFdkbK5BetgYFuekIq0pXS65z O/fzOB7/0+d6adS4HJ9xGI9xGZ95MB/mlSz5MU/my7yZP3EQD3EN4AtUeA3V Xgo/eSAf5IX8kCfyRd7IH3kkn+SV/JJn8k3eyT91oB7UhfpQJ+pF3agfdaSe 1JX6Dvx2VqJ0p/70Af1AX9Af9An9Qt/QP/QR/URf0V/02a/id331fRjwl6t/ xNs1z+KN5TZ857MZR9Jb4fBx4BXPEqlNzeo5U1+wpo8y4Ln0nXhnlQP7Vgai euMwHIiJwieRdnwTapc6XYePF5txOKtDzSVyJbgMV9V3+uX4ZHE+Xs1ZhTeL QvF8hT8+KIjGB4mpuBJpxLthpWiw+WDnsybsnVmA/tmFeMO3BO8tsuBiYiP6 Mzfh/MZGbPOSv0GTC3BBauW/RujxfFwDzic24bsQLd5ZXIXNPcU4veEwXl5+ EB/5NKFqsSveC2zF0YR+XPbpxYvJTpRtSsXOmHL05e7Cy+trf/L84MHnBH8d ZcTJOQac88qCI9kTLweY8cWyEiTnTlRLrnM79/M4Hv+TuekHn68s4zPOzhiL isv4zIP5MK9qye9P3k14adkhnJK8u7cUKxzfCh7iuiD4iJN4iZv4yQP5IC/v Cz+vC0/ka5/wRv7II/kkr+SXPJNv8k7+qQP1oC7UhzpRL+pG/agj9TwoulYn DMO+FYF4e1Wl0p360wefqZ7FrPxBn9Av9A39Qx/RT6oc+zX8G/lfXoN/K/dc qEHeMV8YmwJQI/WzKYy17mMwa56AbZYHbJrx0NZoUHFiLczV3iiPfgZmjwdh 8L4PZf7DUeEdIMsnofd5BHp/1s+PDlyjFHoPWgIH7sNo8h+YT53XKzUG34Wy cB47MNe8wfteaBc+A+PeMBTumI/8bREoPRiEdst8mH3vlFr7EZh97ofNdzZq vFykF7gPFu8nURcQgA5fT1TNm4LM7PlY/kIUcnJ9UefiDnPgU5L3JOR5+aE9 0hWW2eGwhs1Ac9AQNUcj55VvDxiC2qB7UOo9DDld/sg58BTSdwxHxu6nUbTt GdQkP6yWXOd27udxPJ7n8XyOw/E4Lse3zA5De4SrimsLmKTyqJ3rgWz5W8T8 mKdd8m339UKdJlDhIJ4aTxfYfGYrnAqv4CZ+8kA+yItxX5jiiXyRN/JHHsmn ut6O89XLm3yTd/JPHagHdaE+1GlAr+FKP+qo9BRdqS91tmkmwPqsh9KfPqAf 6Av6gz6hX673z6/lNYjnvStvwCr1dRN/O7EvQ3VuIA7OHIWTY71xTOrPC1N8 cMi6DHZbMLIKzIjTlyCtIhlFiU51T0OBNg+5tvUoKCqElvdUrG9GYZIdGRY9 TIlG1A+LR9dDfJaWGbtuN2LXnTrs4Pf+vE5Jauhd/E1lyMD9+buHmLHv1grs lf/fda8NttidUotXqPszdAnVKEqpQb5jBTrMfkg3ZyDBYEKVPRB1kn+dLRTt 2hj0+g3D6bH+ODHcDc+tWwZL0xIsbZT+whGBzqq12BewFBekzjk2xhP1i6ah zRGL+uuexTVwv0ggamyRSNw/DTXVHtIbZCPKqkdieg2sCbXY6ExQS65HWXVq P49Tx8t5deafzl/J8VUcice4jM88mA/zYn7Mk/kyb+ZPHMRDXMRHnMRL3MRP HorUNWED96+QJ/JF3sgfeSSfA7yaFM/qtyzyLv9PHagHdaE+1Il6UTfqRx2p J3VV+orO1Ju6U3/6gH6gL+gP+oR+oW/oH/qIfqKv6C/67Hrf3Uivfw/OC/nl +/ju2rNn3/3mY9izK3D48dm49LgLTj80Hyfdn8QRmx/a8gJRlZSF2pWc76MI LVK/OtdrkVWcgpWieV5hBurX6qSu1aJhZREaNooeHrU4/l9J6jv+U7+Vuvnm FBy+JQM9DxSg6f5i1D+hxaa7S7B/SBGO/jYbz92SirLZaVI3L8CWkcvgTNPD kpqinoPlVHF1cBQvhK35GWg7ZqLYtAadvO87xw+bCwOwK2UpDswcho6pITj3 4LM4F7kI9RULEVIfi3JdMHaWrsTJ2Qtw4ol5KJ+mwQ7/EdhSIr1+rvdPepXr +40t0ivocuMxf2c8ivMyBJsO/g0DS67P3xUPXU68Ou5/HUPGZxzGY1zGZx7M h3mF1K9HQ0W0ypd5M3/iIB7iIj7iJF5t50yFnzyQD/JCfsgT+SJv5I88kk/y Sn7JM/km7+SfOlAPpYvoQ52oF3WjftSRelJX6kudqTd1p/70Af1AX9Af9An9 Qt/QP/QR/cQX/UWfXe+7G/Mluavrdf6Cd9uy8apfG97RSv+7tA8Fgb14R1OA b6LM6vv0L8K0+Da8DAfSdqB3Ywa6F47GrmVuUvcW4v8FWfEN7wkP1ap5zlmn n0toxKU4J77mPSGRUuOGGXAlzII/B9lwJcKOzxcU42R8PPatD0GF9MDbYzTo tYzCm+EZ+CTMjo9jGnA2aRNOZrXhpfgafL7QjI/8SnF4RjG+jDahd5r0JcHS U+R24dOFJnzjZ8HRfDvqqlrw4ooj+M53OzaHrcKhoGS8G30I/cuO4nLoVjR3 mvFWtAMtwVbs27hJ8OnxeehP76fh87f+zPs03EtRO0qPM8VB+MuiArwXoUNi 1iS15Dq3cz+P4/Gfhf78vhyjGp9xGI9xGf8TyeOk5PPOwkMqP+b5nW8fLq04 pPInDuIhLuIjTuIlbuInD+SDvJAf8kS+Pgm3C3+ZikfySV7J7wnhmXyTd8W/ 6EA9qAv1oU7Ui7qp6+FER+pJXS9HFGLXUjeld29ChtL/O/EB/UBf0B/0SaH4 hb6hf+gj+om+wq/0erDB5zxd/euXaHkhBY0d89Xzc43BD0PLPsXzPhTPcUdu 5gIYDq+CsTUUukXDYHC9A3r3O2Dwe+jaNV0PSh8xH5aA2TCG3o+K0AfQEHL3 tXvAB/qUn8wtorkLTZwjMXAIyiPvgSlgKCwe42DRJ8ByYCny+1yQvXsscvY9 iJXbA1AaMBpGr3th9xuOGnfeqzIURm/esz4ZttnB6PSZC13QM1izbyGSu4Kl zp8Bq/c8VAY+jS43fznvcTj9p6N62lxURj4sdf0QlQPnk28PuB110msULpmK on4vpO14Alm7hiNz1zDk9g6DLfVh5Mgya9cwtZ37eRyP53k8v1nN93iXGpfj M47Tf4aKy/iOQBlHeqwynxkqv3WSpy5wBDZJb2J/NgjlgoN4iIv4iJN4iZv4 yQP5IC/kR/EkfJE38kcem67l8BOeVX94h9KBelAX6lMuOlEv6kb9qKPSU3Sl vtSZelN36k8f0A/0Bf1Bn9Av9M31PrrxXwPPa/7rP/+JLduKUFPij8bKUBzI 24CD47ywJehx7J/sinMj3bDFNQDGymgkG4sQb8tAdkkRCuJaUZxjQKE5AYW6 LJQk10Ab24L8tIqB+R3tqUgxZqEirQe999Sq+7rVM4uHWKUWsKD7AelZ7i1F z10m1D1ghGNoARwjstS7aqj87X/YhM0369AR1oH8vFaUxDphiq9FWrYDDms0 OqUGTiwtRFpZMpotvqgyBaDFvhJd692we/pEnButwelJftiki0O8+DCpJRS7 qtfKZ/NSnH7aFccm+GFn+FBsK1+HaksYaq97FtfAXIhSa5ctgbF9NloqpPeu ScW6YgsscY0wpDYgtSldLbnO7dzP43g8z6sr+2m/wvEZh/F2SdzjEp95MB/m xfyYJ/Nl3syfOIiHuIiPOImXuImfPJAP8kJ+yBP5Im/kjzwOckp+yTP5Ju/k nzpQD+pCfagT9aJu1I86Uk/qSn2pM/Wm7tSfPqAf6Av6gz6hX+gb+oc+op/o K/qLPqPf/n0j/lYpdSPnWPn48sv497/+hS+/fBPOgkQcfsoFmyeH4NgINxyZ 8phwMBsNhRGoSUuHc4UerSt4XZAO2uw8xFk3Is2Qgsr4YrRwLpBVxeq6oYY1 0iuuyceW1fU4PKQQ/b9NwbHfZOG532Tj0O8H5jI5dXMa9tycierhmSicsRZp QUuQ7roIse7xaH0kGYduSsJB12qpn22oX6pH88pSWDcUo73YB+22cShNyYCh 1QWbyqdhU1ogtpUsxoHQedg2eSp2jPbHy0+6YV/6GqxtiURqTSiO61bg0ryF eOHhGeicGYh+z8fQ5fBAa7EG3dl+v+gzuvL47LEANGq9kNDuj0UVBjQvMaE6 rgg+Ddlq2bzUpLZzP4/j8Tzv52NxfMZhPMZlfObBfJhXmuTHPJkv82b+xKHw CC7iI05D61yUpqYr/OSBfJAX8kOeyBd5I3/kkXySV/Jb/XQW9vwhU/FO/qkD 9aAu1Ic6US/qNqBfsdKTulJf6ky9qTv1pw/oB/qC/qBP6Bf6hv6hj+gn+or+ os/UnD43cL/CewtYTb53qABvLM7H1677cXFpORKL83A+qAvfLdBKP2KUmlbq 94hqtOdVQ1fsjqaMadhdpMfz8dtxbnWb1MMteD67Hu+v5vfyZnwj9e6nUUYc TNuEK4ukl4gw4qsFRlwOMeAlfy2OuxRh1ywtnptsxDkXKz7SlOCDhCS8tH0y tvcuRt+mePTVZ+KVeCM+jSzDtz5WfBdqwfNqDpJifLtAYkRoUbigGQeiKvDX iFJ8GlaDzkojNifux7de23AuuBxNYcH4zHcLzsccwssxe9DRk4cTBUb8Xepy bVgLjqxqxPehA/fY/9irhA3M8fK6Ro+Osfk4M7kcnxdH4lJyKj4O0WNVznRZ GtQ6t3M/j+PxPO+z635j4bgc/7DEYTzGZfyOLXmSz26cizmMz323olHyZL7M e3PiPsFhUHiIi/iIk3iJm/jJA/kgL+SHPJGvvs54xd/LwiP5JK/klzyTb/JO /qkD9aAu1OdQ+ialF3X7RMajjtSTup5b1YYLovMe0btZdNcVeygf0A/0Bf1B n9AvCeIb+oc+op/oqx/wa7zffuDf/J//39fo/2Avtp13whZ2F0yBj0Hr9zCs rnejZIl8TnWVw9GbDkdiDEpd56DYZRpKfV1RHaFBpe8E6KTGNoQ+hIqwR9ES 6IG2kPulRh4y8D3/z3qURvYufC6Y5ha0BN2NTn/53A2YjBqNNyqCfGHZuQyZ e4cifddQZEt/EHtgGHSHF8MRPFL6j3ul5vdBhe9EmLzvQ3nQo6iZNgNls11h 9n4EyQWeiDsXg7wVU1HlMhW2oJko8PaDzW8SLJr7YZ/uIvX5XNSFDflxbkbm 2B54B6o970BBWQCyj01A1vahyNo50J9kbxuGvKJRsu1av8Ltsp/H8Xiex/MH sXJcjm+QOIzHuIzPPKyST+XcaSq/WMmT+TJvyxxXhcMS9JjCRXzESbzETfzk gXyQF/JDnsgXeSN/5LFZ+CSvil//X/Yuzap3GaL0aRWd7GGPKd20oh91pJ7U VekrOlNv6k796QP6gb6gP6zik63n63FcfEP/XO+nG/n1r2vzku07fximYj80 2ILRYI3FAakNzg6fjz2zZ2JbyFCcHzoHhtW5WNpShPTyJGSk1KEorRIFlo3I K9uIwjQHSmNbpd8rR1JZFjba0pBRrIU2oQ4la5pRlNuBFrdOOO8uQtvEOOwd uh6NY1aha44Gx6Z44dgYHxwa540DEz2kzpWab5IHjo3zlXVfnBrujk2LYpBr F230acjOrIPOmA2nLQiN5kAUVi1BeUUEnCbpNayB6DCsRVfwcJyQ8c6N8sBe 1wg4mhdjwXYvbGtYgxdDl+LEcBecGBOG7c8+g5rccLRVr5de4qdzyQ88PzgI zWULUNM8D6tNxcioWI38ogIYNrTAlNGENR3pasn1/KJCtZ/H1TTNGzivLOgX YzIO4zFun8RnHsyHeTE/5sl8mTfzJw7iIS7iI07iJW7irxMetMIHeSE/5Il8 kTfyRx7JJ3klv+SZfJN38t84ZqXSg7pQH+pEvagb9aOO1JO6Ul/qTL2pO/Wn D+gH+oL+oE/oF/qG/qGP6Cf6iv6iz+i36/13I7wGv+P+8sq7+P47fm/xAxx9 zegSft+9bzZ2jp8Pk/8MvDD0GbSFpsGYp0XL0lKpUXWwpBRgveBfZ41Hmfx/ a4xeza/OuVF4rZCaa32lFs7lOtSlWLFrhgM7f5+AA4/G4Phdy7Hj0Uh0z5iD o9NHYdfsp/HcxJE4OHUsjo+YhR1jvVE5ZQGaZoRj60jpARatgk2fiLrsdaiJ lf4gbR3sjplosk9Eff5itBQEo6nlKbTaZmFn0nocmDsUHZMCcHKYC06NC4Kz chGCuwJxxLoCr0tvcP6BaaiftAjbJ49Gx9pwOOvnoTtX6uucgF/0KlszAlBv n4tkGcNauBB5eYUoTy9D7dpCuLWnqyXXuZ37eRyP53m/6FlkfMZhPMZlfObB fJgX82OezJd5M3/iIB7iarXNVDiJt75gscJPHsgHeSE/5Il8kTfyRx7JJ3kl v89NHOCbvJN/6tAvelAX6kOdqBd1o36N1679Urqq6/70Sm/qTv3pA/qBvqA/ 6BP6hb6hf+gj+om+or/oM/rtev/dSK9//3ughvzLlQO4uDodX3nuw9uuDaid egidBgveScnBZxo7/hJajvdX6pCQn4Dlpmi0Ggvw/JpuvJDUhtey7Hg32YE3 0ytxNr0BZ1c34WheBy4kt+DqynK8Hl+LE+vq8ZJ7MQ7OLsWOZ0txVN4ve5fi C00pvl5swOfLy/DahgYcSe+A6fQKXEi34/0VpXg7bwn+KD3xJalt3shbhI/i snB0XjEuukt/EmDGpfWNOJ/WiL5ZhXhpfgnOx21BXa0Nn/n14Avv7Whe7Icz IVp8yecIbziH7gYzjugq8GdvMz6MrURe0jb0rqnBn6UH+ey6ueQ5B+OLvnr0 zSjGm346HJ9swMWsBHyYG4U/BVmwpGCmWnKd249NMeBNfx36pher8wbnthzs Vzg+4zAe4zI+82A+zOuK/3acDilV+TJv5u+steJ5wXNJcBEfcRIvcRM/eSAf 5IX8kCfyRd4upFcoHskneSW/5Jl8k3fyTx2ox0sexaKPU+n0pehF3Y6JftSR elJX6kudqTd1p/70Af1AX9Af9An9Qt/QP/QR/URf0V/X++3X8PpBsPDf/Csf H0ZyVwTK1kyG2f8BmDzvRo3fcCzPMWNj6zbUZabCMHEsKrxd0RrphYbguWiM 8IAl0h82z8loC/dHt99kbAp5FJs047DZf4rUzLehWSP1M5+vq3qU2wd6lOB7 0O7/ELoDJqHH51l0862ZiOaAu2HPmYH8g5OQuuNJ6QuGI3H/aCzbOQHx22ag OOIJlHlNR72nK0yc39D3Ppjdx0M32wMmzaMoDRyB+P4VSCnzg8X1EdSHhqDe 20fq/1kw+t4Fu/d41HhIHbfATfK6Rc3JONhDtQUMkdr9CWT0BSF7zxPI2vH0 j/1K5vbh2GierpY/9iuyn8fxeJ7H8wd7AzWXpYzPOIzHuIzPPBokH2dIiMov VfJkvszbFPAoDLPdYfIYr3ARH3GWeU1DieAmfvJAPsgL+SFP5Iu8kT/yuIVc BkxEm5zfKjw3qN7ldsU/daAe1KVb+qcu0alT9KJu1I86Uk/qSn2pM/Wm7tSf PqAf6Av6gz4xi1/om1fFP/TRDzf4v43Bv35f/e3vqHAmot7gh801K3AsZCn6 R7igf5IbTo/0wS6fUWie5o7mlCpkWe3ITbajqCRXfcdekmVG0cZG5OQakVye rt6Z2eXISW5AUYITiaV6aEvSkGqPRacxHofH+OHI1Lk4PXE2zo2bgzNjeN3Q fJwc7yo1x3ycHnvtPcoTZ0dJrzLeDSfGuuDsJF/0WaXOsPmj3LYUGysyYbZG w1EWBZ1zBeqt0kur31aWoT0xELvnjMCZscE4/fRcHItZh5WnZ8LZE4kLoTE4 MWIuzo4Nwr5ZY7EpcSa67OtRbwyG0xL6k/lbasyhqLf4wlIRg5XNaVgr3HSZ vZFvWwVtkvQr6fWI7IpXS65ze5fJWx3H43kez6+5ds/9j/PVSBzGY1zGZx7M h3kxP+bJfJk38ycO4iEu4iNO4iVu4icP5IO8kB/yRL7IG/kjj+RzkFvyTL7J O/k/N25AD+pCfagT9aJu1I86Uk/qOqgx9abu1J8+oB/oC/qDPqFf6Bv6hz6i n+gr+os+o9/ou+t9+H/+xX/z//w7Pv34VbW6/0izfPZH4bV7XYS36Tg05Sls ls+1riejcNa7CZvjK+GILUC6IRVxto0ozc5V37G3rChBg+pR+PwuA6rXalG7 rhiW1Aw0psSjKm8V+tJjcfrxedgjdfLJ6UOx1+URnJr4NI6MmYQXnpiF84+6 4tKDrrj4sAsuPT4H7R4anGW/8dRc7JsiPXJFMgqrQ1BqW4wCfSpq7bNRI95s KV6ILfm+6MjwR1v3ZPTFPYsDYyage1ooXrx3Kp4PW42FhzzR0LwAr7suxov3 T8XWKcGyfyoOLpyGfQXr0GgbB4dtHrbyd5Hcwd9Y/FTP4XDMQ3ZdFByZq7A7 az50lSuRm1Qp9XsBnu1OUUuuczv38zh1vJzH8zdfG4/jcnzGYTzGZXzmwXyY F/NjnsyXeTN/4iAe4iI+4iRe4iZ+8kA+yAv5IU/ki7yRP/JIPhWvwi95Jt/k nfxTB+pBXagPdaJe1I36UUfqSV2VvquLld7UnfrTB/QDfUF/0Cf0C31D/9BH 9BN9RX/xRb/Rdzfabyz/vnbPyleX38ZLwv+VgG685NKB3rEt2Bt7DH8K24K3 8tfh3VgD2uLjsUzvhfKctXhzdRW+iqjEN5Gl+CpQi6uBOnwZpMfX8v5zkA5/ jZbaP9qEs8scqF3ViuolTpQs7cBRjRHveJQMzMW4yITLMRW4mFiP/rR2HE9r w8UNTrwVY0N/mwe+jc7Cl4HluOrPe15s+HxhIV7NlFwKw1GV7Yk3UkPxen4a DuW04qPIavxNegqbew8S8rpwobAc38/dg+NBpWiLCseXPr14J/ggGgy92F5p xpeaany2SI8zKYI1yym9aTX+GqpX92KoXmWBCee9dNgivcrn1+aW3z6Xc2Hm 4s3iSLwRVYblhbPVkuvcrvZfO5/n8XyOw3Vu5/itEofxGJfxmUef5NNg7MXb oQdxVfJkvsyb+T8vOBJyuwTXFoWPOA8L3tfz0xV+8kA+yAv5IU/ki7yRP/JI Pi/GOxW/5Jl8k3fyTx2ox9EAI4pFn+rFTtSIXtTtc9GPOlJP6kp9qTP1VrqL /vQB/UBftIo/6BP6hb6hf7aKj+gn5SvxF31Gv/0q7vfCdfetvP8qTLFzpD69 RerlR5GzIhoZBXbkJ2yAw3MkLC73ozzwCZT4c47EB6ALexDWsHtQGzpEat27 0R50n9TJo9DjNw/bAuag1dcDHSFPwun/B7QE3o7mwHvR4f8YNmsmq5qa702a SbLtEelf7pY6+g9wBN6PnLYA5BwaKX3AU0g9OALL9kzGmm3jELVnBhJTwtAy xx16zVOweN0FXeAM6Md7o9J7Iozz70GWJQCxR1ZLjkNh85e/HzP80eHrCovP fbDINoeb9FoRUWiKdkOr3+/Q5H+36i8apd5v9foDLJmzkXNstvQljw/0JKpf eUpyGY4V9nnIkH4lW9YH9/E4Hs/zeD7HGbj+6u6B8RlH4jEu4zOPDh9X2Gdp JL8JKk/my7yNbveg0msiDIKHuIiPOFvmeiBBcBM/eSAf5IX8kCfyRd7IH3kk n5v8J6o+kByTb/JO/qmD0/8mdIQ+iTbRpzdgtvQq85Ru1I86Uk/qSn2pM/Wm 7tSfPqAf6Av6gz6hX+gb+ud6P92or39du+bzxMv9sBb5oLF2Idri1qP/aelV JkivMmY+jo7zQJOfL7onaFC/wAJtqRH55vUoKC5CYZITGbllSLakI95UgLQC C5KzHSguzUWOJQ7ljnBUWENQV+Enn5k+aK9cjiO+UTgzXMaXcfvHuctb+pGf vU+Od8fZ0V44PV6Dfvn/0/I+/owvdibEos0ehYqKYOQmOpGZU4F15lIUlBah zuEr/UAgOk3x2BQ2Bs9NnItzY31wclQAKq3h0J0X3aJW4ajUzRfGanBMavXN YaPQIHk65bxGXQhqLP/pKTjPSaPVDyVlq7EhfROStoQjp2cqmrQRsNkDkZ9b AUNCLcJ6o9WS69zO/TyOx/M8ns9x6q6bD55xGI9xGZ95MB/mxfyYJ/OtLA/H ydEBCgfxEBfxESfxEjfxkwfyQV7ID3kiX+RtgD+N4pO8/pzrfvV2V3pQF+pD nagXdaN+1JF6UlfqS52pN3Wn/vQB/UBfaEtNaIi2oHuiRvmG/qGP6Cf6iv6i z+g3+k49++RG+B3/Wq149Yt38M+/foO3P3kJuevjcPGe+Tg+fgIOznwCx5+a jf3DI+C8Q4/9HuUoMmRhpX0tskp5D0MJ2mK0aFpRKjWWQeraUtgT8lCbHo+a nJVoz5PP+wIN2vXzpRedhKYmV+yKmIHjo4fh2DMzcf7xuXj+YTepo+fhwqMu eOGxOXhetl14VN5D56LdJRCnHnfFS4/NxoX75uDwimXYrA2BtSIciWm1iO5K xcayHOi0Oegs9UZvrq/0C6twxvc2bJ4xE3tH+eO1B91gL12I9KPeOO6zVOr/ 6dg3TvqGiZ54znUEenLXoCfHT/pld7RaJ6M7M1jNzcj52nuyNKgs0yDHsQzO jJXYmuelnvnVUBSIlGITajcUY8r29WrJdW7nfh7H43kez+c4HE+NK+MzDuMx LuMzD+bDvJgf82S+zJv57xEcm2fMUriIrzfXR+ElbuInD+SDvJAf8kS+yBv5 I4/kk7ySX/JMvsk7+acO1IO6UJ9m0amhfKLSTeknOlJP6qr0XTegN3Wn/vQB /UBf0B8HPKwDfhHf0D/KR+In+or+os/oN/rueh/+33+xcPxB/vtXvN2bhA98 W3FxTg+2jG7C65496E8+je8CdmNzUhE2WqdDl7wCby434W9SE38VLLV9GN8m XOHc8nyOrtS3vCboJY0BR+do1fOqjk0rwEXXIrwY40BfyjacXtuJD1MqcHZt M47kd+BkvMRMcOKjReX4MsqA74K0+DjMgtOVAbiyLBufh1jwOZ/BG65Xc7R/ E2TF+1KP756Tj9dTktHVkoFD7aH4NCcAB6wZ6Mw5jqUWHU64bMHnAZvhjPTD RY0T37ttxe7MJjS2FuBP0VUSp0Tdq/7y2jqcT6iEfUkNvgkeeI4xn9F71k2L 7TNL1PO91FyVkUYcmlmMt0Kkj6nR4MMlmYgu8lZLrr8VIvtnlKjjBuaXN6rz OQ7HU881lvEZh/FUXInPPJhPY1uB/Ftoxvfzt6p8nVF+Kv/jgmOJ4CEu4iNO 4u1qyVT4yQP5IC/kR/HEZ0MLb+SPPJJP8kp+yTP5Ju/knzpQj1OiC/WhTtSL ulE/6kg91bWA0QM6X1HXupmU/vQB/UBf0B/0Cf3ynWa38g99RD/RV/QXfUa/ 4VcwV94PPwzM53Xs8nswL4+UuvV25EfPx6rEYsQnpEMbOBpWd6ldAx+FMfhJ lAU/jIqQh1AXfCfavW5C2/z/Qr3Lf6PO5Teon/971Ml6k7w3eQ/DpsmT0TP2 cWyPmoiOeSPQG+qHTs+p6A6agvbrvvtvlJgN6nv/22FYOBIbDoYjdffjyNgz AisPTMTK7fLuHYUVR92RXmxG7bynUeZ/D0p9piPfOxhVvsHSBzyOwqgxSDwV i9yEuTB43w/z7KnQTpkDE5+D5XMPKnznqd8qnFEeaFjogTbv36Ll2vVgTQHy 9r4Tps3+yDj4DDL7hv3Yk2SrfmUEFtd5q+VP+hU5jsfzPJ6vxuF8KTIux2cc xmNcxmcezEc7dY7kN03lyXwTTsWp/Imj2jdE4SrxmaZw1s4bjjTBHSP4yYPi Q3ghP+SJfJE38kceFZ/CK/klz+S703OK8O+rdNgmelAX6kOdqBd1U/pRR9GT ulJf6ky9qTv1pw/oB/qC/liVWKL8Qt/QP/TR9b66EV/8HoL/qvf26VBp8sJe 7UapaaWOHDdf6lt3HJ7qDp1LFJxj4mGdkg5rYQaKrdKv5NiRnq9FbFkW4i35 iNfppHbOQbFtJRy2EFTZ/dFY5q/mZefcHLWc49AUDGdlGHpT10stze/3f9mn DL5PSf18fqI/zoz3w6kx3jgttcm5p12xd9Fq1FeGI98Ui5zUBuTZ18FWHoUs 5zo4rBo02xdjU2oUdrg9LWME4vyo+Tgy0wf1L/iiIn4pjg93x6nxvjg+wRub Ax9CS0kMWm2RqC+TGsMcIXkO3K9SbwpEpU2DUlscUhPaUaFNR2HvHORvnYYG XSTqbL4oNiahNKEKgSc81JLr3M79PI7H8zyez3E4HsdV97Oo+UoiVFzGZx7M h3mp/CRP5su8mT9xEA9xEV+T4CRe4iZ+8kA+yAv52btwleKLvJE/8kg+yev/ xjn1oC7UhzpRL+rmVPPsBCk9qSv1pc7Um7pTf/qAfqAviq0G5RP6hb6hf+gj +umE+l3HR/lM+U1892/cKN+H8b6Vv+Gzy6/jn/gfnO7fiRdHSI8wZhSOujyE k0+4Y899K3HmN6mwj8zF0iwrcqpyUSmfG61LSlC3XI8aqV0dSdmozYhDff5C tOWGYlOxF1oMLmi2ToHdOQ71DqnPrbPQafDFnlVrcUHq1hcfnYcX2Jc8Lj3K Y7K8/i3bLw6dg87ZgTjx+Hy88IQLXrx/Bo76LcfWEtEufRnqNxQhp9UDVms0 0qvikVe3AGbHajQlL8OBSSPQtHgMzo8dgdMj/FB4Mhp1Kxbj4t383cUTdVPC cODZB9GbtAx9RZJvtvQNBd6orJmEtrwAbM31lnonCPayUJQY16Ehc6BX4fO+ unKk/yj2RkptGsxxWsw4Gq6WXOd27udxPJ7n8XyOw/E4bruM75A4jMe4jM88 mI/KS/JjnnUrlqi8mf/Zsc+gUfAQV6PgI858wUvcxE8eyAd5IT9HfZcrvsgb +SOP5FP1gdfxrHgX/qkD9aAu1Ic6US/qRv2oI/WkrtSXOlNv6k796QP6gb6g P5ZmlSu/0Df0D31EP9FX9Bd9Rr8p34n/bpg6TP5N/0tSfb2vHH9akY/nZ21F 19hGfOrVhW989qI7+RDWFGUhcWUy9pfG4MN1enwdaMHlCIOqWb+J4vz0Jvwp wICL6vqiIuydVogT8n5FI3W41OyXo614J60GF9fW43hqO7Zt7MHOzK34IKkC l6WO/iqaY+rwZZhB/Q5xhfOGhNlxyRCBq8sypM43S+2vV/O1sxbn3CIveRtx doYWf5TP7VcWb8XffE04lWFHjaMRF2ricGxzGHoCC1DuF4u+iDj83WMvPljS hdY2A95dsBlXA/X4aHGZekbw16F6vMx5wRbW4XPfUny7SMZyKcUe6TW+lFhf XruPhXMj9s8qwmvuFfgqPRovxKdiaYGfWnL9NXcbTgh+zn/C43kez+c4HI/j cnzGYTzGZXzmwXyYV1ubDu9Lnn/32KPyZv49QQU41hWmcBHfqXQ7/i54X1m0 VeEnD+SDvJAf8kS+yBv5u2SIVHySVzWvvfBMvsk7+X9fdKAe1IX6UCfqRd2o H3WkntSV+lJn6k3dqT99QD/QF/TH/tLlSFyRonxD/9BH9BN9RX/RZ/Tbv27w 54UNXiN99uM/Qr9wOFpDPLBea8Gy2AyYFsxBufvt0PvcizKf22DxvA1mn9/B EXoP2oKHoHXBk8jP8kOVbQ12167Dnqpo9Fr9sbMiFAecCbAXRsKelYlNbr7Y 4eGGbUvmo9blD+jw+QOa/G+5do/Fnf+5tyLgbjT43orM/AAsOzwPqYeGIfbg WCzdMRkr+yZidd8zKDywBjX6DBjn3yw5PYscH19U+k1Bpc886N0eQGrjQiRt Wo7S+ffD6T8cnc96oNx/GIze98Hm9zSqPDWC4QE0RsjfwvDZaPX5PVr9B67d avG6BRWrxyP7mBcytz+GzF0j/tOv7LzWrzT4DfQrO6/rV+Q4Hs/zeD7H4Xgc l+MzDuMxLuMzD+bDvDbNcld5Ml/mzfz1bvcrPFWCK8fHT/qX2QovcRceWC08 jFR8kBfyQ57IF3kjf02Dv+/wHiEug+5Evd/vscn3Njjn3Yrexa6ih7vShfpQ p4POjUo36kcdqSd1pb7UmXpTd+pPH9AP9AX9QZ8sFb+sL7WIfzyVj+in6/11 I70G73X+8LM34TD6oNURi23zInD6GV5/5I7N8+ahZk4UqkZLH+Kug85Di81z 1khfV4F8bQUSmnXIqEpDcflSVJVJX1Ihtbo5QNW2A78lhPzsvnXpWco06LSu xtFZQTg5Zh5O/KJnmS/bpKbld/1jpNYeKfX7WC+cmOCB47L9+PQg9DmXI12X iVLTRlRZpc4x+KPOrpE6WsY2rEWPZiT2jZmEM8P9cWyoH6p1IShxhOD4k964 MN4Dp0YFqXtWeuPFR/YYqZv90FQejaayCNTYfeAwRcFeEYGk8mRkpjqhq1iN tnI/6GvDYG+bCqcxXP0uYrFGIjunArEXp6ol17md+3kcj+d5PJ/jcDyOy/EZ h/EYl/GZB/NhXsyPeTLfksoQlT9xEM++MZOxRfBtEpx2znkiuImfPJAP8kJ+ yBP5Im/kjzyST/JKfhXP1/MuOlCPozODlD7Uqe5n+lHPOtW/BA3oLHpTd+pP H9AP9EVdsA3d4hOt+KVIfEP/0Ef0E31Ff9Fn9Bt9R/8NPvPh/+pr8L6BLz5/ F3/99kNsObYZW+avx4ujpVdxvxfHh0offHMseu/LR0JgLhIDM2AYpUfXjDb0 LWhAXbYFtYUb0JgruHMDsLnIHfWW2Wi2TYK1YYKai73W4oLN+T7oYK2eGST1 uQ92F8Tg3ChfXHjkWamVf9anXHufl/r50rA56J4eiP+PvfeAr+o6s8WnZTKZ xLGd4F6wMRhM770Iod67hBpCAgnUu1Av9+o2laveO2qooEYTRVQDBlNsY+y4 GzC9Oe42sN5eWxLGHifPmfd/Y/J/OfndHJ9z9v7KWgvd77un7X3aAEefFfvE /sOidt+m9kR+dBCylO5oyBmHrjAz9CYuQ0uSEdqSV6HBajKKJyxF0fPOaFs6 Gtk5ZojSeOHEfy7DsRdEzT3dGTsnjMYONzNs4P3r8cbYIPoLvqtdXzsOrUnm oiZ3Rqp2ufj4oTzVC53JvK/FcvCZxIkW6EwwhUrEkZaeAdu9S8U6XW5zf/PQ c8A4nvM4n3Zoj3ZpP1f4aZTPSLYc9C/iYDw7J46W8TFOxsu4GT/zYD7Mi/m1 izyZL/Nm/sSBeBAX4kOciBdxI37EkXi+8tRP4y15EHyQF/LTJPIgX+SN/JFH 8kleyS95Jt/knfxTB9QDdUF9UCehQi8hQjfUD3VEPVFX1Bd1Rr1Rd9TfvXq8 XxfeQ8B/zTcu9+N0ZBD2Te1B+6QqXDHtwodWjeh29EWhuzXSozfgon2fqHdL cSopADesSnHTIQ0fidr78LIM7FyShr7FGehfpMVx2yy8Hl2MoxE1eH1VFXZo m3AwrBYHA6pxKrJI1LXZOO+lxa7ARhwKLse15UpcslPJdxhecRQ9kL0Olx1E /2NThnfjVuAzpyRcNSvGZRs9ztkWibo7D5e9MnHMNBRdvjpsSa/AMdFHbdqw CrtLQ3HRRYktNSHYs80Ih9LNUGv7pNBaJjZP60ZsQQYa/bpwzSUbnzsr8Wpk DU6JGG6aZ+Cd+BKUO1XiHRPRWyxWoH9ehhinle98vDj0uSn6gT3GChxZosOb 6f44pLGD7zp7ueY29/M477MfnsP5tEN7tEv70o/wR7/0zzgYzzXnbDT5bURs YYaMt81AhRq7J2UezGdLdYjMb0DkyXyPKVaK/CslDsSDuBAf4kS8iBvxI47E k7gSX+JMvIk78ScPuwLX44KXVvJDnsgXeSN/5FHyKXglv+SZfJN38k8dUA/U xakkf6ET0ffZbRK6aZX6oY6oJ+qK+qLOqDfq7jb+/u5luSPfszL4b3v30WZk eI+HbvV4RKY4if9ehfKlD0Jn8wfUeT6Lct+JqC3ww458G2ze3Yw9727Bhx91 48KNT3D+y2vYe2ELuj/uxWf4BvnHk3Hsyj5cxuc4cnEfrghwPhU+9u1vQVqF C6pKRQ0RsxT55r9BqcE/y2f/Vlv/QdbVdTa/R7bFI4gVNYbvjtnw2DYFK/qm YmXXVKzuHgefDWaI6fdHXb4z6ueI+sjEGNlWT6LAaAnyjCcifuUUhO2PRoqz +Ltr8TRS5ppCP30icqz47slHUGy0CAWms6EyfgD1HqJPsJ6FOrN/l+9LqbF6 ELWGv4WizBKB26cgoes50YeM/q/9SpXlT/Qro+V4zuN82qE92qV9+qE/+qV/ xsF4GDvjSxZxynhF3Iw/QeTBfJgXxzBP5luX7yTz92kzk3gQF+JDnIgXcSN+ xFH2KdaiBxM9SvWy36LK7mnkRc5GUcFCZFQux37BB3khP+TpsmCPvJE/8kg+ ySv5Jc/km7yTf+qAeqAu6ryelTopE3rJWLEKUSnO0K0ajwyv8VJXXKizv6dn hg2fW2npTEaF3gn73ERtNGoR9k5ZKq/LUxq5I2NhBpIsVdBPy0DZmEjo57lD b7gATdOcscnUCz1RvmjLXYmqIleU5tigSGuNEq3tf6l179a84nhFsSv6fPwG 73efbCjqakPsFev9U0TNN1l8F0w0wSu8FmycMfaOM8Lu8QY4NHYJjoyah72j 50EdEw1Fo6hnih1QW+KBgmIPZGc5o0PnhvbcKGzMtMLpNWuxxdsFSaL+yd3j iB0zTPDyS6JWnmCNHfNfQoXPVFFLhKAiywIlvO4rxx75he5IVCZghTIH6mzx fZrrgNA0Ddapk6BUidq6wALlJTNQpHFGWbaNfJ97buFqlO4YK9fy/e5iP49z HMdzHufTDu3RLu3TD/3RL/0zDhmPiIvxMc6X5fktExk/82A+zIv5MU/my7yZ P3EgHsSF+BAn4kXciN/esUYST+JKfIkz8d47hD95IB/khfyQp5/ij7ySX/JM vsk7+acOqAfqgvqgTqRepg3qhzqinuqErqgv6ox6o+6ov/v9HAvrw6+/+QJX r32AfW/tRrWxO14d9SJ2Gz2MfY/YouOPYUhbmABf5xQUjUvFy/8cje4/RKNg 1FrsfdIOOxY4Y/MadzQWWKK6ag4KKiaiLHc6KpVL5XVPzevs0LbOStbtw9dC NceL2lvpgN323jjyyFwcGbkIh59djCP8PLNY1M2LcOzpBTguaufXnp2DjvGm ePmRRXh7xGyceng6jj86E3VrA1GR54aymvnIq7ZAbf4KaIrcBO4C+4wkbIy1 R/vaaKSuWQ2/1BCE93qg2moijswYBa2xCXZPnoB2qynoTApFh+ifmhOsRZ9j hJoUB+QJnYdmxCFLa4Xc4pnQRiagODYMZcmeaEw1v/tOlfY4M+TlOyKhxA8R nbPkmtvcP/yuFo7nPM7XRiUgt2SmtEv79EN/9Ev/jIPxMC7GxziPTB8l4w7r 84BfWojMpz0wWuZXKfIsF/kyb+ZPHEoFHsSF+BAn4kXciB9xJJ7ElfgSZ+JN 3CX+ggfyQV7ID3kaviaO/JFH8sl95Jc8k2/yTv6pA+qBuqA+qBPqhbqhfqgj 6om6or6oM+qNuqP+qMP7u18Z/Hd869ZneFvnj4GZNdg6oRUXLLqwxyYFxa5G 2OiyCh9ZNuHNoH04GLoTL5vvQZlWKb5TW5Bj2Y4S4yJ0mhWhP6gG23RNOJDZ iDdWVuKA2D4ZX4yPPLNxlu+ld1fIa5GuWfGdLdm4YqMTtXkOtnv1Ypt3N666 5uMT60J86JSL8x5puOkVjTNuSrwr+DmmcsRrWhdcjnTE+TVeOKQX/9ZaeG+T BxrTU3A13RW1rVForw/H6356vOteipb2CHxo14sGRz9sWuuO8zmL0VDij7jE TlTaNWD7jAT0m+nQHFyPT0TtznceXowtwkbParSOS8S+RQpccRm65374WcSO g+cvTpgqsWeBGjc903Eq3hrWma44JfTO7d1iP49z3L3zuKY92qV9+qE/+qV/ xsF4GFe1bT3i4jeioTRAxr1prYfM4yORT0tHhMzvdV892kS+zJv5E4cUlbvE hfgQJ+JF3IgfcSSexJX4EmfiTdyJ/3bvXlxzypG8kB/yRL7IG/kjj+STvEp+ Bc/km7xvFPxTB9QDdUF9UCfUC3VD/VBH1BN1RX1RZ9QbdUf93avH+32R339D v3sf3a5CpPdIxAbPQ4LXGBSZ/hsaPU2wXdQNqoSFCNvohcJ967D+nU5c+uZD fPx6L3acKkXREQVqj2fh8kfHcOLDAex7rx23vvsGX379ufgH+fU9p2bvyPNP X+MW3jrZifUD6XwiNI69txdtZeHId3gEVYa/Qj3fa2j1O+hcJyCwxxNevWPh OTALXj3TsLprHLy6zeDQ7oHY3eYo1KSheP5U5PJ98SYjUWpmCa3BYwhvC0CM xgb6pSOgNjeGwsQFRXaLkWn8EPLMx6DM0AQ5oi9QmIxAk8scVJhMQJ3Vb1Br 9ZB8v2Ol11hE7LRGcPcLSOx9AbHyOcYv/LBfqbFBbPeLd/uVuKFxHM95nE87 tEe7tE8/9KcweUT6ZxyMh3EV2y5CxjInqC2MoTcYIeNnHjqRT4nIi/nprZ5A 0fxpIu90mb9Dh7vAw3wQF4GPl8DJU+BF3IgfcZTPjl72HyhzeR56jQEy+0yQ uHcR0tos8P4bWyUfuPeZqVwJ3sgfeSSf5JX8kmfyTd7JP3VAPVAXYZ1eUif9 mQlo9DJBsdBPvNBRbMh8qSvqSy5Cb/dz3TW8DN9386dPTqOk0AEbooPl+9a2 TV2CUvs5SDENR4KVCskm8cieE4D8xQ6oWWyBzVMs0G4zCjvmTsOh0Yux+8Wl 2D3HRta5zZlrUFfshbICexTrLEVdayPfkViWbTf47kVRl5dqRK0ravNmhT/2 TDTGgZfE9/+Log57YTH2j1qKg6NEPTvWBLumWeHV2c44Mc0Oh6YsQ62FAyrX hqPbqwAdyZ1oCXLGq77ueC0oGK1+waJXFd81Vj7I7bZAVpOwX7gSpXnLoe0b i+I2YwyY++CVF4xEfoZosh6N7owglOaKnkMrepVscyg1gQhPqEZckg76AgeU 5JgjVJGGtJAKaILLkRFUjyRFEiJajEX8or/QsV9xQDVz3fasXHOb+3mc4zie 8zifdmiPdmmffuiPfumfcTAexsX4GCfj3S3iLhHxMw/mw7yYH/Nkvsyb+RMH 4kFciA9xIl7EjfidmGqLV+c4S1yJL3Em3sSd+JMH8kFeinQWkifJ1z38kU/y Sn7JM/km7+SfOqAeqAvqgzqhXqgb6oc6knoSuiq1myN1Rr1Rd9QfdXivLu+n Zfjf89Xrn+D9jwaQHZ+JbWOmYGDhY9j+jBP0E0Wd6ZSK5IWJ6H0gGvt+uxpb n3IWPdkCVC1dgt5547Bj2hPYMXkMti2chX4nd3TF+KMrzQtt6Tby9/nmRDM0 JVmiJUnUunzmVjzfzc77zo2wOXIlXn3cACcfmYPTf5yF1/4wE8cenYVjj83B gScNsH2kBV6dIOrgmU7omWWObFsP5HvFod1Fj2ptJ5TJq9GUbo29q0U/7BoL nakHup1XobzLGvkVVsgsW4M2jR2S2maIjzPyLIKQPVXEZDAZ+xc9hHa9mdD3 NJSol6I9xRDFCd7Q++uQkh4BXeNoFGfNhS46ChW+KlT5ZqJktQoFkXEoT3UW PYaJvEelPsUWqixHhG+bItfc5n4e5ziO5zzOpx1dTNSg3cYXpB/6o1/6ZxyM h3ExPsbJeBk3409qnyHzYV7Mj3kyX+bN/IlDo8CDuBAf4kS8iBvxI47Ek7gS X+JMvIk78ScP5IO8kB/JU7zlIG+CP/Io+RS8kl/yTL7JO/mnDqgH6oL6oE6o F+qG+qGOqKdcoSvqizqj3qg76o86vFeX99dyRz5T9ttbX+H83nBsmluI7S9t wisuKlS7CZxcPPC+VS1umvfhY4MmHF1Uh56pTWhZ3IEavyrUlITj6Irt+Ciq HFdWanHOTo8zjnm45JqF604afGamxWdGubhuocdlmzx8bFOEj1yycNErBTe8 YnBueTpOBCbgSIGnqMujsSU5Hh8nr8ChYlNsaV2C4xrRm/j74nqC4DHLEi+n BuL0SgUuuSXgC89oHFmbhyifDhxe04Q9Ee1437Mc1y3zcX1eN/oVxdilLMdr ptmoWm6GC4ZbsavJE3tbfLAjuRbve5TiikU62v3L0WaXj62zU9E/Ox0HnbJR MCMfG8cn48+eOtzgdWDOg+dHeA3VRXltlwbvW6hEra3ANY9M9NYug0PFLLnm 9q4ZCnmc4y4Ozbs8NI/2aJf2C2bkCX9Z0i/9Mw7Gc1nE9f7yEuxIrcXe1pUy 7guG22QezGeXolzmd31ut8z3A5E38ycOxIO4EB/iRLyIG/EjjsSTuBJf4ky8 iTvxP5LvKfkgL+SHPJEv8kb+yCP5JK/klzyTb/J+VfBPHVAP1AX1QZ1QL9QN 9UMdUU/UFfVFnVFv1B31Rx3e+Tt4L8vw9578/XhrEQJWvojooFnQxyzGzspw 7H2jD+c/fRNfiuPnr5/AkY/acfRMHw6/14S3zmzCjSsf4otvvsHNrz7FnVuf /0U/g+dvbg2iIVuWoWfDbi/Egb2l+Prbi3L7jbOnUJpsiHzRs1TYPYQM13GI 3mSClVsnIGLgRfhunoAVPabw7vKFf4cFErYGYX2WP5SLH4DG/FEUmC9AnsFs JIXORtTWKCjMn0Cl0Tw0m4v6ctF05Bg+D63FIyhexnMrM6AzfwyZ5o+gTYzb +MK/i7rm12gwfAC1C38DZaUxvLZNQ2jvi0joG4XYHvYiLyBOrGW/0i36lXq7 u/1K3NBxjuN4zuN82qE92qV9+tlg/rjw+6jw/6iMg/HwvfI5hs+hfMkMGW+l 0VwZP/NICpst8yowny/zVC56AI3Z/kjcGixx8O7yk7gQH+JEvIibQuBXZvt7 lBo/iKKkxUgT++J3T4Bi63gEKZ7Blp0Vg/zcHnw+yR2piVt/9fwHeSbf5J38 vy10QD1QF9QHdcKrhy8I3VA/1BH1RF1RX9TZsPX7se66d+F3HSMs36REa8pK HJlohU2LpyDL1g4p7uFIdI4Ufac7Sg3M0LrIALv4m/j4wXtats2ahzbr5zEw yRT7RV3NZ03tFTXv3knG2GnhiraY1ajX+6Ii30nU8FbI15iLmlfUwHmifyl2 FH97nFFfuxbbXPywb5KoV+z8sckvEm8EheDVVW4oDRB9rTIE/blROJYfgDq9 ByJzohGlqIAytgMafSY2mTrgwDPzsZvPzho9H688vxgbklYjpW+C6HdtUal0 RU7lEqg2i3pK74K+dSHYN94YfRYjUBbpgfICD1F7i547yxrpem+sjamFIitS 3mNSmmuOYN06pIZWQBVWiMyIYmSF1UIZWQi7mjjEFgQKmxaiN7FHZb4LCreO lGtucz+PcxzHcx7n0w7t0S7ty3tjhL81wm+a8M84GA/jYnyMU8Yr4mb8zCOn YonMi/ml9E6Q+TJv5k8ciAdxIT7EiXgRN+JHHPtzoiSuxJc4E2/iTvzJA/kg L+SHPJEv8kb+yCP5JK/klzyTb/IunzUmdEA9UBfUB3VCvVA31E/ZEjMoTN0R 7xIl9UWdUW/UHfVHHd7G/VuDffX1Vzj5/gFk52mwbfJk7J79NPKnrsEqawXC TNPR8XgUdj/kgT2iB9wyfRL2T3sBm+c/g63zxyPfaAmOPj8PB0cayudNHR0x H8eeMcArC+2xbfVKbEpZge5UO3QmmIma1xgdaUZoU1mgQW2PRoWo+YsC0Ofu h42zjJHusBaNblHY5x+J9sjVSEj0QUz2OrRrY9Gmi0B2kR9iiyOgztSjRPTJ Jakp2LHQEt1zH8GRJ2fiDdbcv5+D7QErUFU+DjnCR77SGcU5SxDaMRvtShvk JsWidrwDeg1HosXfGRuU9ijMWoiG3KlIqZ2HxIwQZGU7oqLuaVQVjUZ63DpU r9DcfY5v9ao0VPopUeSvQnHqCjSlDL5TMr7OHT7bZss1t7mfxzmO4znv7nOd hT3apX36ob8E4Zf+GQfjYVyMj3HWiHgZN+MPE3mUiHyYF/NjnsyXeTN/4kA8 iAvxIU7Ei7gRP+JIPIkr8SXOxJu4E3/yQD7IC/khT+SLvJE/8kg+ySv5Jc/k m7yTf+qAeqAuqA/qhHqhbqgf6qjjiSipK+qLOqPeqDvqjzqkHu/HGmz4/ReX jjWjc0EKuietx0Z3T6z3EL2BsxLvG27E4bkN2DK5Cr0T67FzcjNeX9yKC0bN +HzBJpyJjsYHHqLWnL8Z79hX45ybElc9EnDdPQYfuSlwJCoOB7OW432lHa6s dcO7MZ4YqDFGf+NSnEpxwxV/d5xJdsCrOkccTg9Db0QVtkaU4XSIqO2Xp+Gs XQ7OW1bimq8HLljpRL0ramabwfe2vOlXg9zQrSjyrsFJUSd/4qbFVUeFqK1r cd6kHS31Cpz2En2ViwVetdDilcRa1PX54dDaQpS1aXA80RtnPApwaF0jbnqo cdlJi/esM1H8khLliwvQOjkZ22dm4KCxEu9ZqmTfwftReM7kmosGZ+w06F6c inPWRSIvR6ypeEKuz4nanvt5nOM4nvM4n3Zoj3Zpn37oj37pn3EwnjMC0+NJ XijboMGhNYWo2+Qn42ceNS7mMi/mxzyZL/Nm/sSBeOQIXIgPcSJexO2iwI84 Ek/iesUtHW8KnIl3b3iVxJ88kA/yQn7IE/kib+SPPJJP8kp+yTP5Ju/knzqg HqgL6oM6oV6oG+qHOqKeqCvqizqj3qg76o86vFeX9+MyXJOevf4OwtszYJ9p hQ0dmTj55jZ8fuvLHw3+ef/mef71trx/bDjvn5433L98LvDp3pmJmnoXnP7w qDz2hfjUb8wStfuvEBRnCZcdixCxeSSSd42Bf7sR7JtDENGxAiGt1gjcbYQK UcOoFjyMLMunUWJkAq3xGET3RiAxfB6UhlOhMrNEjsWzKHPygtbsaeSav4Cy ZcbINXoUqkUjkO00BtnuY9AT5YYO/TxkJT4q7wuM3xOHEFHfh+6ZjHU9z8jn BccOnT/h84tlv9JgJ9dyu3fwOMdxPOdxPu3QHu3SPv3QH/3SP+OQ8Yi4dOZP o1TEmW3+DNRmVjJ+5hEj8tGJvJhfltXTMl/mzfyJQ0SHFxyagiU+SQKn8M3P SdzWxpmj1OSPSKqwReyu6Uje9jwiWiaifr0XNu3UCqxv/W/6k8H9HENef/b5 9R+No56oK+qLOqPeqLthLdyPy3Avdezjd1BXEIQtxnaoWLwAuuXeUC8PRLar 6C2Ml2DT3CXYL+rNQ+MNcXDCEuwdvwR7xi/C7rFG6DF7HjunTcWB5xYN1spj DLBzgjH2TDTFK9Ossd/IDRvDg8R3uj8GqmJQoIlCVvBy7Fphj7eCg7DXNxK7 Falo0XtCl+uKomJP1Je4o7rYGVUFFvL+DkWeK1IVMVgXnwtFaDm0gUVIDtEj vWo1dq/xwe4xi7FvujH2v7QIW5d5Im+DLTLrZ6Ja7Y4yrQs020SNX7UUNZmO aMgLRY3zIrS5G6GzIABFOnNUiRq8KN8KISUR0GhXoJbnhHItEZ4fitSwMqhC i6AIK0aG+GSFViMtqgjLq8OQFFOEEE28qIlsUZPnBP2W5+Sa29zP4xzH8ZzH +bRDe7RL+/RDfzqtt/TPOGQ8Ii7GxzgZL+OuFvHnVC+V+TAv5sc8mS/zZv7E gXgQF+JDnIhXhsAtPl4vcSSexJX4EmfiTdyJP3kgH+SF/JAn8kXeyB95JJ/k lfySZ/JN3iX/QgfUA3VBfVAn1At1Q/1QR9RTqfFiqS/qjHqj7qg/6pB6vFef 98cy9Hfi8yuorElEpZ0JGmbNxCr7NPjYaJA3yx+7nrHE1hkTsXPeKGxZ8Cxe nvIC9o6dhqNPzcfrjxigd5wNXn5uCV5/eCqOPDYdRx+bi51PCtyeMMLBF5Zh yxLRI4f6Ile1Ep2qMGTpEhESL3q4SE/sioxEr2s4mlIVgitvaIqWoybfEy2Z y9GY6STWJmjLNERdugVSEoKQF5GCOm8F6rxSUeqbJDTljb2eLtg/ehQOPWuC V5+cgz0z3AT3ojfOnQZVzgo0ZNghYuNsFOUZojjdDgnliahxWiq++83FuBC0 JBhho/i+aky2hiYjAMVKB5Q3Po71+nFIbxDz4tZCkxCG0jXJKPPPQKWPGjUr lfJdJGWrldAlBKI91QxalSMc2+bJNbe5n8c5juM5j/Nph/Zol/bph/7ol/4Z B+NhXIyPcTJexs34mQfzYV7Mj3kyX+bN/IkD8SAuxIc4ES/iRvyII/EkrsR3 EOdB3Ik/eSAf5IX8kCfyRd7IH3kkn+SV/JJn8k3eyT91QD1QF9QHdUK9UDfU D3VEPVFX1Bd1Rr1Rd9QfdUg93qvP+2K5ex7yEJrDvJCzMFJwaoIO42QcmNyH gdF92DS2CTundODEgg58ZFGPG/YluGKYj7eWVWK/pxY7U3xwNsEcV1zTcDJ6 HbobnLCz1kjWt1cD3PCBwh6HdW6ivo3Bh+4ZuOERg8ueiTjjqsbH9oW4YFuA K1Z6XLfIx3XzHHzqrMZpvwpsCuzE/vAGfOyTjU8c9bgU64y3V6nwiXM23vfO w0BYHTYHtKFhRSV22OvwBe/5d8jER04luMxnaq2pQle5HgNW6Wiz8sIbqzpR 35iB990a8EqONw6uaMWH4X7oqPPDq4F8Lpca50Vt3z0vHXuNsnEyown7Fqfh 4BIFDi5Ton9OBnrFsYH5CrxqKvxY8xkDGmwRYy5b5uJ10Sd7KMfL9WWLXGxd kiaPcxzHcx7n0w7t0S7t0w/90S/9Mw7Gw7g+jPATcW7A4VxvGTfjZx5t1l4i rzR0i/yOB1TLfGXeIn/isMNOJ3HZHNAucSJexO3tVWqJI/EkrsSXOJ/2rcCn vEde4E8eyAd5IT/kiXyRN/JHHskneSW/5Jl8k3fyTx1QD9QF9UGdUC/UDfVD HVFP1BX1RZ1Rb9Qd9UcdUo/36vN+Wob/9b5++U3o9ueh5Vg7rt48/cMxt27J 52cO/5Z3Z6gPGf7Ie3SG6tLBmvO/8zdhcM6bZ4+hujsQ63cl4MrnH+EGvkVe uxravJUIPmyIhK4JULVaIFprjMANdljTuxg+nS9i7c5FKM9ygWrh76C3ngL9 gkVIzhD1e2MASgxeQKGxFTQWTyNn6TMomTUJubaPoXDhDBQazkWy30wkaCyR sNUO8ZtmIm23P1R7pyNqzxik9Tgiw+YlpHrMRHy9PRQDsxDTPRKxQz1LnOxX XhT9ir1cy215bmW0HMfxnMf5tEN7tEv79BO/aZb0S/+Mg/EUiLgYX9HsydAb PivjZvzMI1LkkyLy0i9YjDyRJ/Nl3szfp3OswGMhglptEKU1gVrglLBxAgIP LYW+IBDBNR4IHRiPtO5JSGpeAmWVFd69cGoI/v8eZ3d7DN6Lco8mBnVxj16o n1s/7NmpM+qNuqP+vlfB/bUMPzt2/9Fe1Hg5I9/FFAleq6CztkazwUzsnjQX rz7PGnQB9oxaiL2iJu2fZI69M61xdI4Vjk01Q52ZETITTLF/dQTeDPTDdm87 aCK9UJQbiZ3F4dgp6oSqDHvUZDujrzQKbevisc10NQ4/Z4p9Ty/CwcdnY4el qAFKPFCpNkN1lgnysi2QrXdAsi4Q6zLSkBJbBU1go6iby6AILxT1fgmiE/KQ n2eNBuVaHJhijn0TRR/1ogE2RAUhrW8aCvKsUKP0QHb9Qmh6J6JE7YYqtQv0 jYtQXGGG0vRglOgHnwmQKb5n0vLXoLjAGnUqe9FvWCCxcA3SwsugDhnsMZTi owkthSaoFElhFQjOSUB2dBaSg2sQqkodvPat93m55jb38zjHcTzncb5yqGeh XdqnH/qrU9lJ/4yD8TAuxsc4GS/jZvzMg/kwL+bHPJkv82b+xIF4EBfiQ5yI F3HLFvgRR+JJXIkvcSbexJ34kwfyQV7ID3kiX+SN/JFH8kleyS95Jt/knfxT B9QDdUF9UCfUi9SN0A91RD1RV9QXdUa9UXfUH3VIPd6rz/thGY5lxzs7kRxt BqXHEtj4pCLFxBs7pkzG4alPic+TGHjpeRx8UtShj83H9sctsO9Zcxwcu0R8 l86FbqkZYm1CMeAVi70x8ahO8Ed0dgyy8lJwuGMDXjt2ANuPdOHQyY24/N7r +GTrYRwyXYUjT8zHKw9Mwsn/mIjDc+zQq3DGxmhDdK4TvUSSERqSRZ8T74O8 yGiUBmQgzb8AJeE8z8HzFArow1LQkmSJilw7bJs3GSceX4xXRHybfQNQVjUZ JRoLaDWeyCkTtX7TPDRm2CBV1DIllYuRWu6Kjmh/FObZQa13RXWqEypSvdCY YoW6qlFYnzMLOfGhKI4JQlZELLJFf5GbIP7tqP1QGBcITVwMKgNE/7JKiXJR y+RHRCAnxw7RLZPlmtvcz+Mcx/Gcx/m0Q3u0S/v0Q3/0S/+Mg/EwLsbHOBmv jFvEzzwSmufJvJhfCZ/HIfJl3sz/pMCBeBAX4kOciBdxI37EkXhKXAW+xJl4 E3fiTx7IB3khP+SJfJE38kceySd5Jb/kmXyTd/JPHVAP1AX1QZ1QL9QN9UMd UU/UFfVFnVFv1B31Rx1Sj/fq8xdfhr5vv/nyM2zwNUTGvKnIN7bH+vEatI2v RaNLAnYH+uNicChurknFa+p12Nzoi33l4fh6WyW+2FWLM6fLcfJ0K95vD8Lb fK6XTRnO2dXgXZv1+NihCJds83DVMg83LPLk86Iu22fhon0OLon1FfnMLJV8 ThWfXyWfuSt6FT4X95p9Jq4sV+PU2hLsCa1FZ9AW7CoPwQZ1BbpCurErqAEn 1pTh2got9s9NxZ9MlLjqosZZJz3OmrfgqqjfN2dnY1tKMeotTPGGQxPWN2bi lHcTrs3uxs5Wf/RnpuG6cTna9Fk4XWWAs7ZadExT4LipApeWZ2NnViP2W2Ti kJESXy3Xyeu4ztqq8bp5JvbyeWFzM7B1QQbaXhTYLFXimGMOvMJM5Po1A6Xc z+Mcx/Gcx/m0Q3u0S/v0Q3/0S/9nbXUyHsbF+PpV6SLeABk342cebzg0y7yY H/Nkvsyb+ROHtwUexOXaCh1OrC3DQHADuoJ70KqqxE6BY2fgFuwNrcGpwGJc FThfE30OcSf+5GHw+WsqyQ95ujTEG/kjj+STvJJf8ky+yTv5pw6oB+qC+qBO qBfqhvqhjqgn6or6os6oN+qO+qMOqUfq8l6d3h/LYI15+kwbTpztxzf3nEvh dUGDz3D6n4t3+NqwL769jv1/2oA3Lx5C+SsFyGqNhL4hHjEdLkhpWoakbgNR l8+BX99krBT1+MqOCQjYaYA8rSu0Sx5AifECZNssRPiWaCjdp6JyiQkqzMdB afoQ6hyXQbdEfPcbPQldQAgSalwQuNUUfjvmILT/OXmORLtnLdZ1iV5jhwFS V8+GdukfoDF+DBrzEWhInIv8HYsQ3f3s0H0soxDTM1b0K45yHTd0foXHOY7j OY/zaSdN2FMKu7RPP/RHv/TPOBgP45LxLZ0t4jWWcTN+5qFYPlXmlWUj6knj hTLfPK2bzJ84EA/iQnxSupcivXEZojucBX6JyGheC80OUQMcr8drZwbw1Xef DuH+P/k3/I7U1Z17ng9G3VF/1OGd++w54MP996e3v4S2NgZe/taI8XZBn5kp Xl1gKmpNC7Quc0H9ymAcEX8DXl+zEl0r7ZGeuBo1edHYUyr+TuR5o1DU0Am9 80U9bY+GYk+UFTuhVG8tek0rFOXYo0BrL+oB0StoXVCaaYP6PAc0FHqhMz0A /Z7e2DfPGP0Tl6IxbS0Upa5IzoxCnKj346OL5bs8lEHlyA4VfUOgqPnDB/sV RVAVUlTrUKA3Ravo93uXOuLlMfOxa4EzimtdkNY8BTUqD1Hv2wlNPoeifPYh y5Ej6pLUzgnYkBeOxhw3lGZbIqTeCytSyrBOvxb12eLfk4g5PT8A6cJXpugp lOHFQz1GkfBfKT4VSAuuQHpCGpSRehFfIdKDyxGdGw7VwO/lmtvcz+Mcx/Gc x/m0Q3u0S/v0kyH80S/9x4s4GA/jYnyMk/EybsbPPJiPcudzMj/myXyZ98B8 ZxwQOPQaOEpciA9xIl7EjfgRR+JJXIkvcSbexJ34kwfyIXkR/JAn8kXeyB95 JJ/klfySZ/JN3sk/dUA9UBfUB3VCvVA31A91RD1RV9QXdUa9UXfUH3VIPVKX P/jd4Bdc7gxdSPrZnS+wZn0grHysEBhgi3o70T8YjEWL8SSoDcyQYbEae5ZH YXu0qLnj/RCij0F5YSbeefmIqF33YMvrXUhen4Q9J3rBt2N+ii/xHW7i1reX hfmffhb6d1fPAhev4XxKHo5PMsXLI5ehO9wX5WrR38YFoCA2AkVrFShdnYnK lSrU+4o+NFgv9mtQ45uKipUalIr6vyHJHD25xtg8xwwnRszGwQn2aMoRvUf+ BGSLWj5PaCmya6rg1wrKXC9UZFqhqnQsygsSUCeO9yQsQ2yVD1yUZchL8kN9 5bOC11koT/JFta8K6qRQaFJ4jkOLklUqVPmnIDsiHnnxgdCmBUAjPnkiXm1w InJ0nojteUKuuc39PM5xHM95nE87tEe7tE8/9FejnyX9Mw5XEQ/jYnyMk/Ey bsbPPHiuMrJ7qsyPeTLfZpH3wfH2OC5wIB7EhfgQJ+JF3IgfcSSexJX4Emfi TdyJP3kgH+SF/JAnyddPauhbyTP5Ju/knzqgHqgL6oM6oV6oG+qHOqKeqCvq izqj3qg76o86pB6py0GJ/vL/Vm7f+k6uT/dUoMXtSVQU22Cz+PvyVU8VvjpY g7PvV+P4iTZcfv8tIe6LYsJFfHfrz/jyq/9q6+r5P+H1qECcM+zDBZNmXDTe gE9sanDOVYtLzpm46CTqYKfBe81/zueio5gn6uTrtpm46qbEBdtCfKhfjiOp abhkp8cVURPLd6PYa9C1QNT4dmpcctHijFU9Lhi34CObRrQ256HdfRW6XAPQ 2qbBvsR8XFrSgUtWRdiRUYDdHa5407cMx9ZuwAeBfqhOnISTZjp86ihqc/dM DKibcNIyG7tnp4seQCN98T0qvLaLz/zi+1TOib5q26xMdLykRbPTWngkzJFr bm8V+3n8kuhPOJ7zOJ92aG9A2KV9+qE/+qV/xsF4jou4GB/j3J4uYrcslvEz D+bDvJgf82S+zJv5EwfiQVzoizgRL+J2JC1V4Ogm8bzqlinxveQwhPfP5cZJ I/kkr+SXPJNv8k7+qQPq4ccLdUP9UEfUE3VFfVFn1Bt1R/1Rh9Tj6d6KH+j0 /lnu4JtvP727deue8yi/xHLvtQ3fijr2u+++wUdnDqF3R4qov6dh3dYxiOkd CZ+uSfDdOFk+v9e3Y7yo9w2gULkix+BRFC0yQpyoQxLyRI2ywBBKq9nQWD4m 6v8HoDE1QWGkH5Kq/BHZvxa+W8eLOv8l+PZOREzfaKRtfkn0KX6I3jEdijxT qA0fh9ryaajMn4HG6SnULvkVcjOWIG7XdMSKnoP9SbToU9yaXeRa9ivcL45z HMdrxTzOpx3ao11pX/ihv2jhl/5lHCKeqG1rZHyFUb5QmRpBZyjitnhM5sF8 mBfzY57Ml3kzf+Ig8RC4EJ9ogRPxIm49O5Jx5uwR+ff6Nr7vT35Jrun71j29 0qAOf/nvknuXYT2+cuUgQnf4oiLdC4WKCNSoI7Ell/fMW0OVbgwV76XIZ4/h hDK9Dcq15ihWmaIw0wzFWhvUapyQV2wqesapqEhzQLXWGbWiv+Z5ivpsR6zP tkZFtjkq8ixQWGiJrFxb5GvskVNuL+oM8d2frkehqBEyfLZDm1yBdaElUK0p hSpErFnbhw/W9zr/MmSFlSNT7EuJLEVibgCqNCKG4uXYtXo1Djw1B30Boufp nYWcEiPUpntDt3EadB3TUKn0FLW/I1Si39ZXeKJ78Qo0K1eLet8ahTl2UAgb 4ZkKqHL8oWFvEFKJzNCiu70KP6rwUlFbVSAzuBCq4FKkZsQifF0usuOrkBFX j4rIOqzvD0JFRJ3c5n4e5ziO5zzOp51hm7Jn4bVhIVXSL/0zDsbDuBgf42S8 jJvxM4/KTE+ZF/NjnsyXeTN/4kA8iAvxIU7Ei7gRP+I46LtI4itxFngTd21y peSBfJAX8kOeyBd5I3/kkXySV/JLnsk3eSf/1AH1QF1QH1InQi/UDfVDHVFP 1BX1RZ1Rb9Qd9UcdUo/U5b06/SWX4Rh2fHIU9hvDEVO2HHFlwajRJWL/tn7s 3NOOzW/2Yu8bXTh/efA5s0NPRhr6fL+cufgnVHSoftrP7cHz/V99eRNXr53B 518O3i954mQPPrzwFm5fOoc3m/ajwLgateEaFPI+EW+FfHd61aoMVKxOR52o rxPC85Ebr0GtTxpKApQoSfKW10yp22bhkJsnjv3nDAy4rkJ59UxUqgygzlqJ xOaFSGuci1TdSuTwOVyVz6Ne7YbeWSuQqw1HS6oJOhIskJjnA/PWYOhzrVEt auoSUcdX+SpRHJiEkugglPmqUSPiqBT7qlako2ZFJgpWi9jWxEOfloCS5Eik FcQhridMrrnN/TzOcRzPeZxPO7RHu7RPP/RXvc4PucK/mYgjScTDuBgf42S8 jJvxMw/mky7yYn7Mk/ky790if+JwyNVT4kJ8iBPxIm7EjzgST+JKfCXOAm/i XhuhkTyQD/JCfsgTF/JG/sjjMKc/tVAH1MMPl0HNDKueeqKuqC/qjHqj7qg/ 6pB6pC7v1en9sNz6+mvRoX3OKgzffv3TY/7LNyJxunVL/s54+9a38t0Z73Sk 4V37XFw06cAnZk04byLqZ/MWfOJQKGtb1sU/tyb+vjbWio8K1y3y8I7SDkdi Q3HDKgcXHNXyGVsfWKkH38noqsHHolb/xLQVVxe14tC6KtTkp6LF0B2t+Xrs Si3Dzfld+NC6AVccM3HEeT1O1DphlzoPp91y0DMmCyfCfHCmeg7OWefhurB3 fG0l3rPNQe/CdJwfuld++BlfF3j+wU6HP9sVYr/bOvSus8Db4u9tfecyueY2 9/M4x3H88LPBaIf2aJf2j6+plP7ol/4ZB+M57ZYr42Ocr4h4GTfjZx7Mh3kx P+bJfJk38ycOxIO4EB/iRLyIG/EjjsSTuBLfv5UTyaPgk7ySX/JMvsk7+acO qAfq4s6QTvCjf1d/qcL6Vj4O6xupR+ryfl7u3PmfPZfy15c739/3MvSnpbXE HpqSOVjXPxpx3WPg18VeZfDj1zkeXv1LEJxmh4oFY5HjYovEnmhUGi9FmfF8 +R7GrEUjkOo5FdHKlUje5YWgPhes6ZwtavsJ8vm/a7ZNFL3G80jcMg4Z62ch s8UcmY5joDJ5AmqLp6A2ewoK+2dRY/UAKkxHQNdojuitvOd+uF9xHuxXuC32 8zjHcTzncT7t0B7t0n7G+pnSH/3SP+NgPGs658j4UkScjJdxM37mUWY8D5Um omcR+eWKPJlvcJqtzJ843MVEfIgT8SJuxG8Qz+/vQ7mf+L4/7xv+frlz6zv5 29/tO9/g668/Q9OxAWw83oKXjzbjlf2tOLqvFXXtekSVBiGzLgC5dX4oq1qB hlIPVJV4orLUC9WlflB0z4G22gz6IleoKl0QX+GB8MJViBB1aHpSPHJELZqQ E4sApQbxEaVQRBWIdTGSQ0QPElmNyoQu1IftQl5YM9SJVVBEFCAjpABKeY6j FDlBFcjiOY/QYsTHFCFP1LxlfAdlng2a41ZiYIYjaopWIKljAqrUy1FQYIvM 7aNRwppa6YWkupnI3WCBfQ6rsP/p2ehbyef1Lke1xhQJ2hAkBTQhJV2F9III EVO1qOVL5LsflcEiBlHXp4cWIDuqErrkWmSE1qGgOA8rU2ux1agZdUZb0PF4 Hg4b+KHjiTy5zf08znEcz3mcTzu0R7u0rxZ+kkNqhN9I6Z9xMB7GxfgYJ+Nl 3IyfeTAf5sX8mCfzZd7MnzgQD+JCfIgT8SJuxI84Ek/iSnyJM/Em7vWhu1CZ 2C35IC/kZ5CnUskb+SOP5JO8kl/yTL7JO/mnDqgH6oL6oE6oF+qG+qGOqCfq ivqizqg36o76ow6pxzv33e9f4m/Ld9/hK1FL8psPtz/De2dO4tCpPnz09u4f jDtwYgAHT2zGqyc347WTfTh1pBOnDrfjjUPt+NMrnVBXrsGBYxvwxrGNOPpa DwaOiprn/Hvy3jl+rp5/G/sONYsa+AP5nMHr18/hi+HrGMTy6Tt/xqaADjSu KkRNmBaV/qmo4LkUUUfXr0xHQmwedIla1Iq6vzAwHQ0pNmhNMkJV8TR0+q/E K6Os0Kn0QEnJWJQpXZBU4YKE7unQFjmJ/lL09llTUVtihiOGPjj5uykoXx2C uixP1CcthTLPGJHCvp8yHyVKH5SvVIs6XokK/2QkaVagLCAVZX4pqFqTJmr6 HBSv1aB/bRmql1dh+zKhQbNu6MZmIXv+WrnmNvfzOMdxPOdxPu3QHu3SPv2U i16aflcJ/4yD8dQnGaBWxMc4GS/jZvzMg/kwr4Su6TJP5su8mb/EQeBBXIgP cSJexI34EUfiSVyJL3Em3sSd+H/67p/vckJ+yBP5Im/kjzwOc0p+yTP5Ju/k nzqgHqgL6uPU0U6pF+qG+qGO7l2oM+qNuqP+qEPq8fZ398m1YH9tuf2drC/v DPVvd/h9fWf4Gvuf+L4e+t68dv4NvB69Bp8YdeGCWSPOmzbjgqxlW/Cxfbms jfn+wkt/w2/5sj9wVuGaRT5e0zniYLo/bljqRf2vlucrjppkYo8B7/uoxFmT VpwXfi8ZtaG9Wo+8YHvUpUSirTYHF43acU7E87FDCa4tV+C0SxXeiI9HdWUg eiZq8L5dOm5aF+P9GD+cLjDABZtcvOpRjXOhevF3Ok3eI3/FRSOvk7rCd8JY FeAjrzS8pXLEgXRTbDYPwQWPbDT0W+OiWHOb+3mc4zie8+R8l8F77mmX9umH /uiX/mUcIp6eiVoZH+M87Vwl4/7YvkTmwXzaanJRmxKBfJFne5Ve5s38JQ4C D+JCfIgT8SJuxI84Ek953dff1KsM8kceySd5Jb+SZ+GXvJN/6uBeXfxILIMf /lu7fWdIX0P9zO3773vk728ZvL7g2zvfoTl9InIi5yBm5zTE9z2HVd2Th86v TMbqzglw3TQfPnHmKJ4xW9Qq8VgXtQLFixcjz/gPUJq9gHXpFgjfIWqSyhkI bJiG4HZXrO6bhpWdk+S7SsK3vSjq+9GI6XsKOe32KAi3gWLZH6CxfAZq86eg Ef1GhvWzqLJ6GA2Gv0Lh2imin1iAmO5nRJ8ybqhfGSe3uZ/HOY7jOY/zpR1h j3Zpn37oj37pX75TRsTDuBgf40yonC7jZvzMg/kwr3XR3jJP5su8mT9xkP2K wIX4ECfiRdyIH3G8+2C2fyz/ny/8Nrxx61t8JmrJL+98ha/E5+vbX+KbW1/g q28/w9fffoETZ04gODdU1LelSIvNl/eaJ0SXIiG8Eqmi/lcEVyKT13QFl0Il amdlaAnUocXyN/6MkEIxT9Q/Xl1of6IU9eJvY2FQF7LjG6CMYd9QgLy1pdDx /Iqot9dlpqCA15zp7FCQbY2NOh8MrAmHqmMhdJWLUaVYAdWml5BXa4AKhTey axZAt3Ua1oeGY9eLS3BgwmLsnmWFpuwAFOcbIzslCUnJ2SgssEZ9jhXSdAGI CRX+YkRdn1gHbUQV1sdtg9atDdusWlE+VcQ3Ox4FMxOx+Z9ysfnXSnT/XoHN i+zR/aBCbnM/j3Mcx3OeTsxvpB1hj3ZpPzpM4JUVIPxaC/9WMg7Gw7gYH+Nk vIyb8TMP5sO8mJ+q7yWZL/Nm/sSBeBAXiY/AiXgRN+JHHIkncSW+xJl4E/cS r42SB/JBXtRDPJEv8kb+yCP5JK/klzyTb/JO/qkD6oG6oD6oE+qFuqF+qKO/ g+rqLy9/4U/M7aF72fi5evOK+FzADfH59OZ5/FmsP7txAX++Lv77+ic4d+Ey NmzeI49dE/uviM8XX33xM3yL7+Khe+VeK3kNm/4tAZsXl6LFpwr1IXpUBClQ syIJiXG5UCXrUO+Vify4cLQkWqAwdzHKCqdgV4wPDrkFobxsPmq086DWrkBY 3zzE1tpAo1uB9VmzUF0/FT3eQfIeipNPzcGOCQ5QV/ujqGwMCmNDUBOYhJxs O6TkOaE8zRuFfmmoXKtFgSIGNWsz0RfciHKbAhxeUoqOl/Kw85EUVD+bjZI/ pGHzr6Kw59ehSF7oJtfc5n4e5ziO5zzOpx3ao13ap5/ydG/pl/4ZB+NhXIyP cTJexs34mQfzYV7ML6x3MF/mzfyJA/EgLsSHOBEv4kb8iCPxJK7ElzgTb+JO /CXvt76/x/WvLeSXPJNv8k7+qQPqgbqQ+hjSC3VzVX6u3NXUXzx3cl9/5f13 7/kdmj307Mq3O1Pxrq2ohY3bRe3cJGvZ86ZibbwBZ63rcdYpV94XcdlB87P7 FtbVN8zzcSTLGQfVXrhhoRf1uBo3eU3VonQcNCvCZQueWxB1/LImvOPRgZIW d2Snz0ZthwrnrLi/GWesRE3Nd7y7q3A6sBIbVqxHksoJHzom4bpTFs47Z+Kq ZQHeigjGqQxT9K+rxen4GhxamIpDZkrcdGKfko8zngqcSnUVdb853g8LwYdW udg6U4tznulY32+Js2K9dYZW7udxjuN4zuN82qE92qV9+qE/+qV/xsF4GBfj Y5xvrynH1eUqGT/zYD7nrFpEfpkyz5Jmd5k38ycOxIO4EB/iRLyIG/EjjsTz 5/crWskXeSN/5JF8Sl7JL8+tCL7JO/n/P39m5P+ZFv9fX+R9NOJ/O4o8UWb2 exRsN0Z0/0is6p1yt1/xE7W598apSLMdjyzflUhpzUbqAkNkGT6BpNXzEdPq Ar/++VjbNwmBdcsQ0O6E8D57+GwcC5+uaeLYZMRtEr3KxpGI3vESdAWRKLc1 hcpshLzXnX0GPyrx4bvh681/hxqLR6BuNMK6rc8hqnuwX+Ga29zP4xzH8aqh +bJfEfZUZn+U9umH/uiX/hkH42FcYX0OWNPuiBBRa63pmyzjj2l1lvkwL+aX skHUbCtXItVuosh/msThbr8i8CFOxIu4ET/ieOfv8L3y98/y/e8Tt24PXst2 +57Pz703Td+bh6hwNbQ8ZyJq3OF+JDO8cPC6LvFRDF3fde8nM6wEGaKG1q9r QdOLFej5lxS0/TEPLTPqUe7ZAX3cBmiiq6AVY5NE/ZykDkVVtgVKsuzls39r s13QXBaI5I6xKNe4I7/aCOr+F1Cp9EJBjh3iusajXrMWh3hfPp9vNtUI+8cu Qd8aPxSV2GNNhT+yimxQX+yI4qJV6OKzifN0yLFtQp95F8peLMfOEUXoeCgX G/8tHTt/pUPpM0q0jgtC7wPZ2PiwBp1/UGO7gZtcc5v7eZzjOJ7zOH+XsEN7 tEv79EN/9Ev/jIPxMC7GxzgZL+Nm/MyD+TCvykwvqLe/IPNl3syfOBAP4kJ8 iBPxIm7EjzgST+JKfIkz8SbuxJ88kI8fc6QY4o8f8jncz5Bn8k3eyf/Pk9ud H+jrlvzc/uu/t94ny2B0Q/8//LyN/8Z9ctv2vYPL13/ion0MPYNSXr88jMP3 eAz/Ln31g+voGZGOff8UjO3/mYyt4/XosK9A65pipCoKkZGsQoV3hrwPomOd JepyZ6BQa4DuBEf0qQNQVDoG61PtEVLngNWb5yAxZxXqki2hLx+H7rjVOPms EY4+Mw+vPkXtTUCmzgYVOQ7QKjxRrTBHX4aV0KCnsOOLJk0GNiwpQs9yJQpn xuDob1Kx+1frsP2fwtD0cBJKn8xA14PrsO8/orD/32LQ/5sopC3ylGtucz+P cxzHcx7n0w7t0W6rsN8o/NAf/dI/49CJeBgX42OcjJdxM37mwXyYV2LuKpkn 82XezL9PEyDxIC7EhzgRL+JG/FKVhRJP4kp8iTPxJu7Ef/j33B+q46f4++FC 3sn/37rcPTcxdM3I/XF31/+95e77ji68hpORa3F+WRfOmzcO9StDPYtJC86a teCMfTkuOPO3+syf1bfwHvAb5nk4qHXH4SxXXBe1try+TNTh7bNL8L5hMy6Z ifpd+Lu6uB0DaeLvduZLqKvxxQfOfbhk2IRzpq04a1eO8w4qfOGpQbd/OdIM mnEiMQTvJbvhougjLjkNvuf9qk0e3lsZi/71XqKXKMJ7S9TYM1P0Kh5qnEry wOu5JngnQuTI941Y6+W1Xj0L+dwxBZp3WOF9VwV6FmTI6614nOM4nvM4n3Zo 711hd7uwTz/0R7/yPfO810fEw7gYX7qIs9evVMbN+JkH82FezK+u1lfmy7yZ P3EgHsSF+BAn4kXciB9xJJ7E9ef1KZmSL/JG/s7LcypN33NLngXf5J3836uH fyz/88utoesdtm5rgM70YcR32CFs13NY2TtV1uW87sm7axJie+ah2HQOUtdX ocrOEaUm4xCRZYOIfgus6JsAn/bxol+ZjnDRA/jVWCGwe76o7UWd3zcNkf1j xfyRSNg9CapaC5S7LEWm6VworR5Fptkzg9dyiY/W6klU2z+MWtGD1C79NQqU SxG7czKiu0bDlfeviDW3uZ/HOY7jOW/YBu0prR6T9iuEH/qjX/pnHIyHcTG+ 1dWWiGmxEv3KDBk/82A+zKvUeJzMk/kWm8yR+RMHv6F+hfgQJ+JF3IjfvXj+ Y/m/s3z/7fhfP7eH3sP01sW3EaiKEDVsxd37Tn72J0TUwXHlqHboQNd/qtD1 kArdvxZ1zm81WD+6AvVWXSgJ6xN1RA00Zc4o1VigVGeLkhxLtKgDUZ3rjKzW uShTroBm21gUlpmiQrMcGb2jULXeE5uMvbBnzFzsn2CAl0cvwJ6R87FzmQfy KiJQ1uCPqoxADPh7YuvKcGydY4Ojc41QO8EHbf+WiS2/VaP7d1nY9KAOfQ/p 0ftgDpr/mImup0Ow8YEsUWup0SX6lB2G7nLNbblfHOc4juc8zqcd2qNd2qcf +qNf+mccjCevMlzGxzgZL+Nm/MyD+TAv5ldYbirzZd7MnzgQD+JCfIgT8SJu xI84Ek/iKvEVOBNv4k78ycPfxBv7F8E3eSf/9+rhx5///1dYg8tf+ncy2OMM 5n/+0k1s3v2m3L71N/7WMlwjvxK5Hdv/OQR7/yMae0SNP/DPMdj+qAqlbvXI SmxGbUgWqtWiD19nhoLiKWhNM0BfrD82JDmioZD3IXrAa/1ihFfYY0OaLcor nkNHwXIMzHLDK49Ox/HHluHA6FEYGP/v2GQWBFVJNHpzV2BDlD8Ourhgv40f tk23RM8SW3SMdhd971rse8gFO/51HRofTUbpsyq0j0jB3l+LvuRfozDwq2js Fv3J9t9Eyn6Fa25zP49zHMdzHufTDu3RrrQv/NAf/dI/42A8jIvxMU7Gy7gZ P/NgPsyL+YVXOMh8mTfzJw7Eg7gQH+JEvIgb8StdXi/xJK7ElzgTb+J+Lw8/ d7l1e/B5+eSd/Esbd/6KVv4f+Lfyv12GzrG81ZmMd2wKcNGE51ia7+lZmnGB a+NWnLFcjzMORaIOHvzd/rKj+m6N/JP9ioXoVzL8cFLnKP47F+eXi3rftA5d E9eLenmodjZuxEW7Lugz1yAt2xhHohtw2WDw3opzos4+65gjzzUcN81Arnkx Nio24BN3Ld7IMcE5t+FzPoPnc67b6vCmj/ge0a/B2wGRaHIMwBsFS/GnWD98 4piFK9Z5g9dGibivuWqwZ4YCb9tnoHXACm85ZGC32OZ+Huc4juc8zqcd2ntL 2N0s7NMP/Q2f72AcjIdxMb6ujA3QmxTJuBk/82A+zIv5Mc+0bCOZ90V70Sca DfWJAhfiQ5yIF3EjfsSReP50v6IdusdGLXkhP+TpjNV6ydsF0x/ySX7JM/km 77eHdPCP5Zdbbg3dx7Lj3R3QG/0O2YoxWLNniqjNp8ja3E+sPbrHQ99jjdw0 NUIScqHwNEWU6Ev8++dhRcfYwfMwGydh1eapiC9bhOiecHj3zIR3r7Czcxr8 t0xA8J4JSOxejgLXkWg0fQgbljyHYrfHkG37GNS2os8wfRoaq6dQ7vwwaiwe Qo3Z71Dm/hyyty9GRM8LWN7sKtfc5n4e5ziO5zzOpx3aK3Z7HG1LRmK96YPI F/7ol/4ZB+ORcfXORFR3KOJL5sFv89ShHCbLfJgX81N4miBY5KsXeTN/4uA3 hAvxIU7ES2/0W+wU+N2L5z+WX2aR764R69xNekRHqKEJLbv7HOCf85HnWMLy URTRjs7HC9D9gFKep+h6SPQK/5mBTb/RoXNEBfJti7FBPrPKB2X59igqcUCf tw/q4g1RULoC+Q0LkdU1AxXJfkivmw51qxH6HH2xd+RCHJxljW1zLdHnI+qq Vcuh0YcgOX0T+hY54sBUc+wZvQSHXjDA3nEG2D9uMQamLUb96AT0/ocefaLn 6H0wC93sRX6vQe8fk7H++XBs+H0Oen4veqsRavQbesg1t7mfxzmO4zmP86Ud YY92aZ9+6I9+6Z9xMJ7kjD4ZH+NkvIyb8TMP5sO8mF9Fkp/Ml3kzf+JAPIgL 8SFOxIu4ET/iSDyJK/ElzsSbuBP/nzq38pc+CvmM5zLJN3m/g/vrnt/7dbk1 VOeybr1wZehZhn9DaXrn1uC5qA93foBN/xKDff8ejYFfi7r/19F4+Z9C0fpo PKpH5qB9oRKbwlahV+UCfd1U1KltMWDjia7VS9GQ5YSk8mVYVbMMFYnuKMma goqipdhl5IWjD83CyVH26J85Fb3RC3E+rRRnPziGtOpD6H/JHCeeN8HhEfNw bMRsHH98Hg49vxAbZpqjfVQACmasRM4zQv+i79gt6vsD/8qeJHqwVxGfPT/q V7jN/YO9zNB4MY/zaYf22ketkfbph/7ol/4ZB+NhXIyPcTJexs34mQfzYV4y v0QPka8RksqWyfy7Vi2VeBAX4kOciBdxI37EkXgSV+JLnIk3cZfnVm79fK0P 80u+yfu9OvjH8leW4ftYLp7AyYhAUTd3/+gcy/fnWuR9LSaib7FqwFmHElEX Z8n6mb/lf9+7DH/UuGmVhUPJgTilcxI1cj0uWDfhxMIm7Jpcj6uWohcRdq8a tuKwTy28o+2xJ6wWN5bwXEPTYH9kU4Prbhq8bKDElnkp2OdQhwNhdbjplIvT Qmt/ivbHFavBa6RYp1+zycbHNqVY356Jq60Po27dXLxjocc1u9zBvsZpMEa+ s/6G6Ev2LVDisG0aOgascdguDfuELm+6Dh6XOch3w2jkfNqhPdql/Y+EH/q7 PPRMZ8bBeBjXDRHfyyLOvY712DI3RcbPPJgP82J+zHNPuMg7xl7mTxwkHgIX 4kOciBdxI37EkXhe+hHOgz1K5uAzpQUf5IX8kKcLPz6ncu+5FcEz+Sbv9+rg H8svswyf27p+8x2UWTyMHvUMROyZDe+OSUP9yjR4dY5Cxs5ohBbsRqgqCNHb jOHVOxG+HRNk/X73GqlNk+Ghn464CksE7ZmFoB3jsGKr6AE2T4JPuxMS3SeK HuM3KLf4IzrdHNFk/QiqLR9Apd3D0Ds8hgybZ5Dv9AjqLB5EtcXvUG37NOLb zRHZ+xzcmtzkmtvcz+Mcx/Gcx/m0Q3u0S/v0Q3/0S/+Mg/EwLsYXX2EB14JZ Iu5J31/7Jp+HNkHmxzzDVMEIE3kzf+JAPGS/IvAhTsSLuBG/e/H8x/LLLMN1 6ulLbyEwMwqZIZV/8zkWRUgBNPE1qF/aio387Z/9iqjzO0VtveWPWej4TS7a Rq7Ay5MWYavJcnSG+mJzbgw67C3RbjIBHXmi/9j3BMqyHVHUYgztlhmoykrF 7oBgNActx3p9ONr1XigucEVegyui0vncUuHL0hUHR8/D/qnLsH+CKfbyeb6T DHFk/FJsmmKFxhFZ2CR6jo0PqgbPpTygRc8jacia64+Wh3SiPxE9yggNti31 kGtucz+PcxzHy3MuYj7tSHvCLu3TD/3RL/0zDsbDuBgf42S8jJvxMw/mw7yY H/PkM8NSRN6dIn+Jg8CDuBAf4kS8iBvxI47EU+Yh8CXOxJu4E/+/+dyK4Jl8 k/d7dfCP5S8vd2vXy6J23fvfqF3vDP4u/82336F/aTV2/XOIqPFjMSDq6X3/ EoXOkYmo+l/snQdclUe6//feu7vZtE01vZlmYoklGmNXlN5tWCPYlY6AKEjv vfcqHaQJ9gqK2GI39hIVxR7N2qLy+89vzjmKWTVi1PD5/M/ce/blnXfmKd8x MM953plp5YfVL5tiy/u9Mb+/ESpttbBqtrNor4MlXdqgJGgixpW1Q3SACfJi +yA1qwvmublig9kULBw5DlmeJli7YTK4q/Shhh04fHorjpy4gdwBI7DjjW+x 8ZN+2PhRXyG/F7Z+1AtLOg3CzPbmcOlhhXX/shJ2ON4Tp6z6g3hF9VHFLexP OZRHuZRPPdRHvdRPO2gP7aJ9tJP20m7aTz/oD/2if/QzOsBU+k3/yYE8yIV8 yIm8yI38yJE8yZV8yZm8yV3mRZoxZHdiVDHeHPem/w7U5Q+Kah1LqRsOGMTJ 797rdX4frzTJtzBu4btauvk4ZpKKE0aJ+NksAg3cB3lIsPycGBmMkwbJqLUO wh4XW5zqW47z+rlY1W0uantm4xzPHdHOxiWd+fC3dUKQ40xc0qrECVHHOfYJ Md8+PTQBa/t6oqqHDy4N9sN6y3Rs/CEFl0wDcHSsF7YG66LBNBRnjUNxiu9v WdlgZ4w2Sufa48iIaCyc1Ru108bhokGsmM/7Ndl3WcQrwwNRp+mPZfoeKBfx ylJxXT/IX9Y33JMn8pP9KYfyKJfyqYf6qJf6ec4J7aFdl0wCsOmHZGywSZV2 0376QX/ol/SPvgt/6be/jZPkQB7kQj7kRF7kRn7kSJ7kqmJM3uRO/hwHjgfH RbWe/n6femVuhePM8VbnVlpQuc1d1oAkV11U+HeH/aY+GFvcHhPKO8KivDMs KtogcGEIwhdnYdKizjAva4sJpR3v2SvLorSTfJ9qeqURvJM7wmXJp7Bc+BXM RYwwpswUlhN7IN3gRaTq/xu5JiKe0OuDeK1XRB1jk1eQZfAyooa8hahhIl7R fRlpRq8hecALSAvshFkrOmFYpom88l7Wi+dsx/bsx/6UQ3mUS/nUQ33US/1j ygZLe2gX7fMRdtpWGeOHynbS/nv2RBP+0c/Jwt8I4Tf9JwfyIBfyISfyIrcb So7q8teXRlWOpTIcM+yCEGib2Lz5L9d3O8QgfnIJSl4JFXNq/zvz/EX/DkGF mPcXf2eCde36Yu1XfbDy0/5YMnsGEko1UWY9HZEFI1GRr4VY/5lI9e6KDUGe SI8ai8RYM6TEDEZMsB7ig/QRFWMAVw8/+E8RMZV7HIpmWWLN531R3XEA1rbR wNqvB2Fde13UfKGLDe36oaC9BYpfDkW50p5yEXMUveELdw1zzHvTF2UvBaJS xCkLRLzCK+9Z765hIduxvewn+lMO5VEu5VMP9VEv9dMO2kO7aB/tpL20m/bT D/pDv+gf/aS/FQVaiBL+kwN5kAv5kBN5kRv5keOduEtcyZm8yV3yb8Z4cXw5 zhzvRqi/M2hOua38nbVw9a7HzLEoGu8r2ItFf7NH9XNiTi3jFQdUvOeK5Ld8 Uf2pJra93RcrO32M8q/boW6yA/KSB2HFWHO4po5HylwDFM6yEnHtt9jh4oZS LzMU+Yl43r8zCleMkHOFnw+tx/6Da6Uu7kWV7DcHm97oji0f9MaWD3th6VcD kfOtAUq/0cGPn/SHz0BTRH3ijA1inr/in/fGKo8Sr/DDfuxPOZRHuZRPPdRH vdRPO2jPNeUODrST9tJu2k8/6A/9on/0k/6mZBtI/8mBPMiFfMiJvMiN/MiR PMmVfMmZvJvyf6SxapJb4Xg3HX91eYSiyrGc+RHb7CxxcmC53LPqQXPepu+J nWK+QKsQJ3SV39vrKD4n9MRce2Axto7KxAkbB5zqX4LTBjlY3C4L+/uJZ+L5 2UHF+NE0Fj6Tx+CoXiFOa+XIdec8E+SMQR6W9fHD8h5eOC/m5ecYo0wMx06L BJwz8xGyorDbwwx7bERsMskF20O1sdNnKOrHeGCTWS5OTonF5kEBmO/fEaec J6NBN06xfkYZh5wXcclerQAs7TcHpTWGWNZ3jrznGSt38hc8g0b0Y3/KoTzK pXzqoT7qpX7aQXtOG0QK+3yxY3wCfh4fLu2m/fSD/tAv+kc/6S/9pv/kQB7k Qj7kRF7kRn7kSJ7kqmJM3uRO/qfu997X/T7sJ8aX48zxbjr+6vLXFtV73utX 5SEluA+mrhuAsSXtYT6/M0aXtsf4qm4IrnHCePGzRWnbuzkVOa//BuZirj9x wTewWvIlQsq7ICahHeyWfgHz5SK2KRmC6eY9kSTihjT9V5DK3InRy8jq8RFK DD5HisFLinrxydR/GQlD3kCKiEXSDEQ8MuCfiAoygP3y7zEyU3HlPev5nO3Y nv3Yn3Ioj3Ipn3pS9V6V9dRPO2iP+fJO0r7Y+A4ILu8E66VtpP30Y0Jpk5hF +El/6XdQjaPg0FXyIBfyISfyWr8qF3ffl1eXv7qovlvfe/onWD5GjsXPVrHH bqhLDvI7ZKDieUWOhfmAxS+FIP8dX6zgWvkOYl4v5uFLNUcgJnk0PAvbITzN DNkre2PppBkoMPgYGf01kRs0FQlhekgINERckLE8Mz4u2hjucwLga5ki971y dwpHXMp01HTTx9q2Gqj7chA2fq2D2nZ6qOmgKa4DsKSLBuZ+4IGKl4Lkeo8K Mc/PfyUEEV2nYX4rD5S8FIwqEadU9hstr7xnPZ+zHdvLfqI/5VAe5VL+OqFn g9C3TuilftpBe2iX3EdN2El7abe0P8hY+kO/6B/9pL/0m/6TA3mQC/mQE3mR G/mRo8yvCK7kS87kTe5+j5Fb4ThzvJuOv7r8cbmbY/kFC5U5lmbNYZVNr9+4 jUWfh6L6f2yw6jlnVP/fDCx6yxXR77rhxw97Yt0HGljTtjXWdDdCTuBIxEe3 QUyUMfwWiHh8xDQs6P4RSkWcXDVrAnLc9BA0+3MUV02Rsk8cqMPRg7VKextx 7cYFRGTPwtJO+lj9aV9kf2uE4k56qP2sH7a+3xM73+qDsm5dMLuXJYpf8sO6 f9hh5T+cmplfcZL92J9yyoU8yqV86qE+6qV+2kF7aJdqXRDtpd0s9IP+0C/6 Rz/pL/2m/+RAHuRCPuREXuRGfuRInpKr4EvO5N2U/6OUO7GpzK2o1q08en91 ubtX2L5SVxzQj0eDVpGcU//h/PfOu2LiqtXke3zx8+lBBfhpcDZOid+dDQNL 8LNmDko6ZeK4FmOdHBELlCN9lAHqDDxxXrMcx8Vc+pTcJysf8ztmorqXrzzj RPXe07HBoZjvVIAzw4NxVjcWu+xtsCf1S+zxGYzD42fjtFEMftELwEaXJGyc mYKTg/xR1cMfe5N74pC1lTy7ke9OUR7Pqz+mF4T5/ecgd6U+KsSV96yX+thO tGc/9qccyqNcyqce6qNe6qcdu4U9tOu0WQjKZhRKe1XvydEP+kO/6B/9pL/0 m/6njzSQPMiFfMiJvMiN/MiRPOubMCZvyf1+73zdL7fCvdjEuHJ8Oc5/fk8w dXmSRbWe7spvN5C53gHjF3P9SnuMqWiHSQs7w6fOAhYLvsVYUTeeZ5go5/MW zEFUdMbURW3lenbXik9gX/4lZs0zhXVtb7hlm8B5REckGb+KDKNXZaySrv8q UnSfQ8Hwvsgb0kv+zDpVvBLItfOD30em4SvI0noZ/uN4/kpHjMwbLK+8Zz2f sx3bq+IVlezcwb1QMKzvXdlCL/UnCjtoj6uwy7q2D2YWmsK+4ku4zv9Y2k8/ 6I9Fk9wR/aXf5sJ/cpi0oLPkQj7kRF7k1pSjuvz1RZVjiagKg6NtEAJsm7eO xcdaxC3OCUgcUYqSFwJQzrn1q36Y/2IEFnxmhZouvbGmvQZWtemHEjsbBJR0 R1CCLkIr2yNaXL1zdZEaPAorA2YiOpJr8k0QH2KCpBAx1480wmzXYHhbMo6K kWclus6IhtvcyVg+bjJqP9cUMYOumLdoo7b9QNS074/qdiK2+Ka3mNePRfG/ FTkWxh9FL4ch7yN7zH/DHSUvB2NBKzH/7zdSXAPkPev5nO3YXuZWRP/8DmOk PMqlfOqhPuqlftpBe2gX7aOdtJd20376QX/oF/2jn/SXfkcnCg7z20se5EI+ 5ERe5EZ+5Eie5Eq+5Eze5N6cdSscV44vx1mdW3m8oprHLlq9Cw3nFGd5NCvH clvxm2+t41Is/hvX3Yt59d8dsPBVd6R/OAVbPvoOmz7pgcI+72PB+KlITuiG 1IB+cCjshogIbSRGDUCRywhsdJ6BNPdBiI/pjPUbInDzpohV9tbi532KWOXu 2bc3EZA3DUHjbFH4pQ5q2mhgu4gjfuQ7Wh/0xoYP+mH7R12Q/933CHgvAsVv zEHtPxyw8u+PFq+wHduzH/sXdP8e24Q8yqV86qE+6qV+2kF7aFdTO2k37acf 9Id+0T/6SX/pN/13KOyKVP9+kgv5kBN5kRv5kSN5kiv5knMjmrfOXjWeHN9F 6tzKY5fGOzmWzdhua4WTGhWPlGN5aP5FqwAH9XNxZqwjTmuV4qe+c7G0bZaI A3JwdlAZ1hj7IEPEK6fEPL1eS8zNdfLRoJeH8nZzsaJvPC6MClSe484Ywl/m KVZOK8OPDmHY52uIn3xNcSz8Oxz6wQfnDSLQMJznrPjjqEUENpuniva+qPzO F0eMg7E9XBc/2VjilFG04jwZEZecNA5CsZY7Ehfqyespcc96Pmc7tmc/9qcc yqNcyqce6qNe6qcdtGevrwE22Ydj5ZQyae/pIcozJ4Uf9Id+0T/6SX/pN/0n B/IgF/IhJ/IiN/Ijx1PyXbLHHw85nmJcOb4c56bjri4to6h+xy7aWorx2VoY v7AXJlf2hs08a7ivDcHUys4YW8H4RPHelEVJR1hUtYfVwtZwX/oZXFZ/D1tx 71PyOWbnGcM10QaRI7oiQu81EV88hzS9fyPN8FVlDuRlFOp+iJweHyPTWBFP sD5DtIkYwnUsHyHBtBXStV5E4ZB3kLLUEAa5evLKe9bzOduxPfupcjeUR7mU Tz2sl3pFG9oRLuyJHNkVsxLs4JpjDG9hL+2m/fSD/tAv+kc/6S/9pv/utSGw LbGWXMiHnMirKT91aRlF9R37njM/yXUN/lbNXcfCvY2jEO1YhHkfid+dL/nK terzXhMxQLvRqOvQD9Vf9cWK3oORHjse3gUdEJGpJebNHRGepAWPsi+QG+yM uY52yI4dg/hQAyQHiVglwgjObgHwskyFn100fOziECR0udllYEaEiDsCrbCq owlqRexQ9w3XsPQX8cQA+WEuZKnMsbjLHEmpmO+Xcf+vj6wxt5Ww7+UgVL0Z gNLeZvLKe9bzOduxvSK34i7lyNyKUjb1UB/1rhT6aQftoV20j3bSXtpN++kH /aFf9I9+0l/6HZ6s4BCRoQXvwg6SDzmRF7mRHzmSJ7mSLzmTt28z1tlzPDmu HF+Oc9NxV5dHL01zLPNX7FDug9uMubCy7YVDl7H4FQ8xt7YXH0csfG0Wslub Ycd7PbH2w66o7vUdirwmIDn2K4TEacKhuDuygvsgJuUzVM1yQMkEa2TkfIvj JxdIeTeuXULDke336Lp6/QZK1u6BQ9JMBAW6YPXXOtj+9vfY8GFvbPpA8dn8 fm/UfdgH8wZ8jKVvTEHy2yKuf2cO1jaJWR643p5r7UU7tmc/9i8RciiPclU6 qI96qZ920B7aRfuaFtpPP1joF/2jn/SXfmcF9cEMwSEkXlNyIR9yIi9yIz9y JE9yJV9ybsr9UQrHk+PK8VXnVv5cUZwBAewtm40DeonNzLHc58P+Bsk4OcoF Z7QqUNMzE6u+n4uLunk4olOE1MEG2GIUizOaRWLOrti3qqhDJmq75eLC0AQ0 MMfBNe+mYt5vGI2TIz1REzUZ6TmWOOBgg9Pa8dhr5YDdXsPk89PKPcuODQnF Ur8cXBgTLPR5Ybc21+OHY7P7SGx1niD3Kpbr6IcGYXF/d4TP08XifnPkPev5 nO3Ynv3Yn3Ioj3IpX+ZNhD7qpX7acUYnDgdn2CB17nTURE5GvbCXz6X93O94 qJ/0i/7RT/pLv+k/OZAHuZAPOZEXuZGf5Ch4Pu5Y3MmtiHHl+N5Wjre6tKyi 2GOkEVXJNvDo2wo2k3tg9qj2GOY+CbPD+2Hi4i5yTyzO38eUfIOJS9pidnVH +C3SQXB8P6R594PVhK+QEGaA8r01yCj1g1ONGfwS+iLB4Xsk67VC2qDnkW4o 4geDV5Ck+xpKhxkjy6iViDMUcUW67itIHP46/PU/QJDx+8jUex5pQz+B66Kx GJarJa+8Zz2fsx3bs58iXnlZyqNcyqceqU/opf5EYYdPUj+41IxA1jxfaSft pd20n37QH/pF/+gn/aXf9H92eH8M95iEWaM7SD6eghN5ycxKM/ZoUZdnU1Q5 lsgFzLEEy3UOzcuxxCDAJRXZWgUoe84HFa8GIreVH+raa2NtRw1Uf9EHCyZO RUjeQHhl9UbU/K4ISDKEZ0E75CdMQuUgMyz/qAfWDjdHVtRUREfpwcbDC57W qfC3i4GfbQICrRIRYJkMH8tc+M12RW68GeYPNceGL0U8wXNamsQrNe0VOZa8 dhaYxxwL8z0vhGBuh+mI+twNlS8Eo/JNf5T2HC6vvGc9n7Md27Mf+1MO5d2V 3V/qo95KoZ920B7aRftoJ+2l3bSfftAf+kX/6Cf9pd/0nxyiBQ9yCRZ8yIm8 yI38yJE8yZV8yZm8m7UnmMytBMvxVedW/lxRTX1/OnwKF3+9Kn9u3nS2Uf5t X6GTiRV/s0bNP51R8W8nVH2hhZ3v9cWCb75AibURssIHIja6K2YU9UFEuDbi Y9tggb+IZ78djkWdXsTGkaZQLG69fc9ywMtXr6J21z6s3bkPZy78ihtXLmPD ziokGY/GDhE3bPyoz51YYtOHvbDxHQ2s79gaxZ8bo/r/ZiHnPXcUvjsHa/6p 2CfsvvGKqOdztmN79isS/euEHMqjXJUO6tvxlvi7JvTTDtpDu2gf7aS997K9 Lf+f/tFP+ku/6T85OAoecYIL+ZRYG0pe5EZ+5Eie5Eq+t5s5OqqWHFeOb9Px VpfmF9XflfNnN2K7nTVO/ckcS71mMc4YxeDoKA+c0q7Eig7p2NE3C5d0KjB/ 2HTMGzIB5wZVoUE3W74DVdA2E3U95+K8XiFOGsbJPAfPmD82wg8/MdYI1cZR h2lYZSnm85YFuDTcCw3GIdgarIefx3rLs+i5t9f5Uf5Ya5eBBrNwbNTyQbWG Dy4PC0S9cSS2O0zBj75DcXxwKC6Lz2pNdzhna8or70+Iz4++Q0S7qbI9+7E/ 5VAe5VI+9VAf9VL/aWHHxeHeWDJ9HlZNz5V20l7aTfvpB/2hX/SPftJf+k3/ yYE8yIV8yIm8yI38yJE8/0xuhePJceX4qv+utNCiXHMfmmQOvz6vIKrfa7C1 1MBUa034u2nBYo0Gfihtix/mt4dlbQ8Elusi2q0nknXfQET/55A84RtsWpWL q8o1h6UbY+GS9hXcln8BtxVd4V+ggwSrb5E28EWk6r6E7MGtUDRI3Gu+pogp 9BXr7tNMX0Ww3nvw0fsA8cavIUXEGRPi+2B0qZG88p71fM52bJ+mzM9IOUIe 5VI+9VAf9frn6wg7umH28i9hl/wVyjZESztpL+2m/dIP4Q/9on/0k/7Sb4s1 AwUHbUwRPGwtBwg+r0pO5KVea98yy511LGd3w9LPEf7N3SvMJh6+9tGItipD 0ZvhqBBz/rwvbFDbYQBq2/ZHdTd95IRMgWd+FwSWfofQYvHvpuAbBGQboeKH Kaj7vDeqO4n5+ae9UThwMPy8YxEwMwMBVpFi/p+MkKlJ4iPiFRsRC1ilIiTA AfHxOpjnJvq21UZ1u0G/i1cUehd01kH2W4p3u6qETZGdbBDR0QZV/wpFxZt+ KPt+iLzynvV8znZsz34LOmtLOU3lKt45GyT1lgj9tCNY2EO7aB/tpL20m/bT D/pDv+if9FP4S7/pPzmEkUfZd5JPTshUyYt6yY8cyZNcyZecJe/m5FbkuhVH Ob5Nx1tdHr/8dusWth04Jn9u9rr7Rn7nvB+Vf3PA2r+7oPytCahqq4Gt7/ZF bZeOyPf5AUmR32BOTnfx6Yf0+DZIjtTHEv3JWNv9Fazt3AE/vtATm00nYHPm Iin3+o3rWL1uL4pXrse+Y6fw283fZP2uH+fj/IUDSIvyxZoP+mDzB3dzHxs/ 7I2t7/THwi5tMb/H11j6j5lYK+KQ4nfckPmuB6r/OQPV/+uIJcp4hVfes57P 2Y7t2Y/9KYfyNjbN4YgP9VI/7aA9kp+wj3bSXtpN+1noD/2if/ST/tJv+p8e 1wZzcvvBTXAhH3IiL3IjP3IkT3IlX7kv22Oss+e4cnzV5QmU24qYZX+ZCw7q Jf2pHAvn12dNYrB/mhsODZyPsk5pOD4oX8jNQvzo/tivn4VzOgX4WTMXhV9l YnPvHFwwyBX98nFaOwP1wwOwb5Y5dkZoYb/jJNQPCcNZ/QicGe6PzTMSsdJx Lk6axeGIswX2zxqNM/qR8uyRC8Z+qJuWhp+cEnBU0xfLvvfGOTPFO2UNhjHY a22NbVEDcH5IKGoNvWGWNQDrxJX3rOdztmN79mN/yqE8yqV8eQaN0Ee91E87 ls7IxsYZSdI+2kl7aTftpx/0R/ol/KOf9Jd+039yIA9yIR9yIi9yIz9yfNx4 RZVb4XhyXBuV46wuLauo1l388tuvcJg+CCEab8DL+FOMDrCAv+578Df4FJ6p IzGmojMcV/WDV3B/xJi+jTjjN5ERaIx164tw5a4wxTnRYu5QVxeD+OWTMaP0 M7is/BJeK3tgjvg3mar3togl/oEs3c4iVv5OxCD/kutM0kXMkaz/Gnz1P4S/ tohHBr+PuRrPI87ja4xcaiGvvGc9n7Md26er1q4IOZRHuSlCPvXMCdcSenvC ZcUXmFHSGtHLp2Dtuhh5Fr18h0v5u5z20w/6Q7/oH/2kv/TbQ/jvb9Ba8Hgf owMt4G3cWnIiL3JrylFdWk65m2MJhaNNSLNzLN7WMQh2yUJB1ywUPu+Pgrbj saVtP1R/IeYSYychKksfPkWdEVLZFR45PRCS0xtLZtliebuBqO7QH2vEfGNV lz5I7jAW81+PRqrZAgQ5FyDQUnFmiJ99vDyzPcAyAZYBvggNN0BW7Dgs0x6B utb9UPONxj1xxZp2GiI26IOcL6xR8nIoql4MROQXs5HZYToqng9F5Zs+qOpm Kq+8Zz2fsx3bsx/7r2l3r1zqoT7qpX7aQXtoF+2jnbSXdtN++kF/kjuMkf6t aavwl37Tf3KQPKq6wqe4s+BkIHmRG/mRo+QpuJKv9+PkVsR4clzV34E9uXLz 1k0s3bgdl64ozrx/5N9ojYr/uflbI5Z3jceK/7FD2XujUNVBC5ve/w4Z9gOQ Gz0QkUmdYF3SB2Hx3yIzsgdWTrbFol4foKbj19jcaiA2ftYD89/Qx0IxNy/w 2YjimkPYuPtnXL2iiFP4ThNVHan/Sdh6A7U/rUF238HY8Vb3e3Ms7/cV99+j uvMnmN9qIlb9L2MWexS1ckfce76o+bsjlv/LHu59x8gr71nP52zH9uzH/pRD effmVrpLvdRPO2hPI3BnvT3tpd20n37QH/pF/+gn/aXf9J8cyMNScIlI6ig5 kRe5kR85kie5kq8iYGnGsIjC8eS43lSfZ/xkivLvyoVz67Hd2ganNOY/do6l XrMIZ01jsWvWTOzsW4ZF7VNwXqcSBSYWWGTshEu65TiokY3iLzKxrX82Lujn 4uSAeWKuXoo9ds7YETkQ+1x/EPP8IOVZjwHynJEG00D8MtQP2yYlo8quCKus 07A+xQgNo0X9ED+cN/TDPstorJ+ULvT7obSPD07wzHeupR/uhwaDeByym46D yT2xbYgvTH215JX3rOdztmN79mN/yqE8yqV86jkl9NUlG2GlTToWOhQKexJl vVxzw3NphL3yzElhP/2gP/SL/tFP+ku/6T85kAe5kA85kRe5kR85kufj51bm y/HkuDYqx1ldWlZRfS+5/WwdfIzfQVi/12HubAzLKX0RrvkWQge+BRet91Cy MRXbzmxG5ZYV2HlwMRou7EbTt3Wb7o+lmj/sPrkXPgkamC1+D7uXt4fT2q5I LTCV6+MLDb5E1oCvkC73CFOcE5li9Dr8hnyEQJ0PEGj0MZI1n8e8AA1MWW0v r7xnPZ+zHdunyz3AXpNyKK/QoA3SDERdoSlcartjTnk7uKZ0RUi6MfY0HLjH vt/bTX/oF/2jn/SXftN/ciAPy6n9YD7TRHIiL3JrylFdWk65m2PZiek+To+R YxHzY6c4pI0uQd4rgVj2rS62fzkAy7voITfAEj653eC7qCMCKzvDv/AbxIdZ Y0FPY9R+1RvVXCvfuRdyu45B6auRWPRCMPJfCEV+v0Ikzp4HT/so+Mhz3OPh ZxMPV4d4xAYNQVK0MQqcpmHdV7qo/UZxLsrddSZ8n6oPijsPQcFrIZj/ciAy W/mh/BMrlHJN/Zu+WNLVRF55z3o+Zzu2Zz/2r27yLhjlUw/1US/10w7a4ydz HvHSTtpLu2k//aA/9Iv+0U/6S7/pPzmQB7mQDznl+ltKbuRHjuRJruTbrD2M lbkVjifHtek4q8vjF9Vc+/DJBqzbdeCeukfqf1Mxh9sVvVnMzy2x9AstlHTU w6avRHzN/eSiu8KxVMT1hZ2REdsOaR7TUTyoA6q/aovNbw/Clo+7YfHnpih4 xxsp7/sh9jkXLPw+HjdOKGKn2zfvHeNGMfe+1vgrIue4YMO7fA/sd2tYPu6F Uo13sfxTbSz758w76+gL3vBA+HvBWPqyI7z7jZVX3rNetS6f7dmP/es+7nnP 2hXqoT7qpf7G38UAKjtvnLiORcJ++kF/6Bf9o5/0l37Tf3IgD3IhH3IiL3Ij P3IkT3JtVHJu7phyPDmuzR1TdXlIkTmWRuwrc8EB7WQ0aD9ejqV+UBFOmyRg s78tVvUuQF3nfGwdFoJkUyOc1i/DPs7VP0/Dnv5zcUGzBMcGlmDv+BBs9ZiC zW7WODraV57DqDjr0f+ecxK5hv2CqS/qxwWjZmIxUqPdUBQYiI2js1E/Phgn hoeg2jUTl0YGYHUnTxzU9MUvJv44Z+iPC8beuDBQyLW1wK60bzDGY6C88p71 fM52bM9+7H9ZyKl2y5Ry6y1CsHFMttSXHu2KWqH/5A9BOC/saVCeNX/nwzU1 fHdM+EF/6Bf9o5/0l37Tf3IgD3IhH3IiL3IjP3Ikz8fKrYjx4zjuk7mVRnVu pYUW1Vrx4jUlcBnwOjyHt8Uwj1EI1XoXIQPfxESztqiojbh/59uNd/ZD/q9H SrknLuzA3CpHBIb0Roj4XTxnXneUF49BltGHKDHWQLrp60jW5btYzyPF8F8I HfwqfDXfhJ/eW4gZ+Hdkh+pjbI27vPKe9T5ab8p2bJ+s8zySRP8Mk9cxT8jL MHgXxflmmF3cDV6hbREc0gsFi91x9cYVpcn3+3eo9OMB73XRf3IgjxDtdzHU czS8BCfyIremHNWlZRVVbBpZFQJH69Bm5Vh4zrqXTSSiHUsQ3TMIa8Xcfmvr AVgwwgLxSaMwZ1Fr+C1ri9libp6RMBbVQ8ah+oveqOkwEGs79UZZ5zGoeDkC VS+GoJznuL/qj6p/eiG1bSZCrMsQNjMB3lbR8LdJgKdjDLwSRiExUBfZ0ZOw esBYxbnzHRSxRXUH8RFxxVpxv+zbgcj6aA7mvxCI0tfcUPCeLcqeC8GC512x 4CtteeU96/mc7die/difcihPIVdD6qE+6qV+2kF7aBfto520l3bTfvpBf+gX /aOftZ0UftN/ciAPciEfd8GJvMiN/MiRPMmVfB/1PPs7uRUxjhzPpuOrLn++ KL69b8SyTTtwuZk5FsUwNOLC/kvI+9wJqz/sg6IO+ij+wQipyX3gm/s5rBZ1 QnRce2SFDsX80f2x8uPO2P72AGxp3Q3F35gh/sMAZLfyxNIXnbH+OUfUiHl6 yceh+HGe4p0/OUcUv6MvXjqNrbuXswJ5FXEo/s4YO97pcTfH8mEv1L0/EOs7 fIlVbb7Hgn/boOZ/HLDs/xxQ+792KHnJDSGtvODZcai88p71fM52bM9+7E85 qrUrMrci9FAf9VI/7aA9cv27co5De2k37acf9Id+0T/6SX/pN/0nB/IgF/Ih p9Tk3pIb+ZEjeZKrHJ1H/OeuGjeOI8ezUf0GwJMtyhzLxfN12GZlp8ix3PfM +z/4MB9gkog1sZOxsHM2tvaeh6wxutg8zB97+8xDcZsUHO5TKPfA2vtDGLZ6 TcIOZ0ccMcnCCY1ynB4c8l9xyr0xSxDOmAbgF9NAHLbyQ6X4vbx6Wh7mWZag 1jYD5Q5F2GWViIUTwrBoQgSOzIzDbudYbBG/89fNSkKdxTyscnKBtftXWC2u debFsv5H8XyXcxwOucRjwcRIVE4Mx3brJJTbFWGtbSZKbIpRMy0XVcljccRS xEGmAdKO/4pVfhe30B/6Rf/oJ/2l3/SfHMiDXMiHnMiL3MiPHE8+Tn5FV5Fb 4ThyPNW5lRZclGtXwuIsENrtnxjpboZZYzojrNeLmD6lL5bVK75ru8V9MRpv 3bk+yjyhaWxw8epZnDi2FaV51li1NRmrU72Q0O1bVOi2R8WIrqgY+i2qhnVF wYi+SBymh+gh+gjR6oKI6UaYmjkaUVMNEKrZCVGD9ZE4VE+064cFw79DhehT MaIbSnTaI717T5THOMGzaCTK861Rs22eiFMu3deeBxW5x3oTP28p/waRA3mE Cy6zx3SSnEIEL3JTr2FpueW28u/KvrM7YOnt3Oy9wvysY+AxMxPJkwJQ+0VP rG9rgBIPKwRm90DsmlYIWvEeotOMkG9jjeVf9hVz8YGo69gXCzqMw7yXIzH/ Fe7lpTobUXme+/PeKG0Vicwf5sNjdgb8xJzdzSYV7n4zkBaii8QYM7lGvaZ1 H1S364tVbfuh9ut+WP95L6xuLeKCNt0x93Mr5L2WghWfBCK+uw28285Fll4J Nts7ySvvWc/nbMf27Mf+lEN5lEv51EN91Ev9tIP20C7aRztpb6nyLBqVL/SL /s37dyQWth8n/ab/5EAe5EI+cWtbSV7kRn7kSJ7k6teMd8FUe4JxHDmejVDn Vp5kUb1vxe/i63Y3P8cC5d5JG2bGYtWr3yCn1whU+BoieO7XcFv6MYJLPkZK Uh+kuhhi9dvdseO9vlj+dW+kdB2HtHf9sPSFmVj7d3usVp1J/y9nrPqbHSrF Z4vnGlxXqrl16zauXr2Exlu3cOLcAcROnoStrb7Hxvd7YsN7PfHjez2w65Ue WNi2NRZ2/AhLXp2AxS/4Yv2r7qh50QV5HwUhRS8HUTO85ZX3rOdztmN79lsg +u96tYeUR7mUTz3UR73UTztuKfdboX20k/bSbtq/Uu5H5ij9on/0k/7Sb/pP DuRBLuQjOQle5EZ+5Eiet5V8mzOWLBxHjmfT99XU5QmV24p9ivaVuOCgVipO axc+RrxSgHrjVCxMMsf8ToVYPMgLxWOGY1s/Eat8nokjfcpwdGwctrlPx7ZZ Njg0NAWn+legYVA+6nXzcHxIjGLv4YfGAcochn4kDvgY4ai9jZjbR6H+h2Cs ss9EwbRKxDqVI3ZUOrZOT0ONVRZqHdOweWYi9jvF4rB5CNKd38HhscE44BiL zS6JWOeUihrrLGyxSkPsaPGZWY58IWe1XSZOjg6R8n+2t8Z+byOpV8YiQx9g n/wEST/oD/2if/ST/tJv+k8O5EEuko/gRF7kRn7kSJ7NHQOOG8eP4wh1bqXF l8u3bsDToifsR36DUa7DEdH9OThZaWDjhZPy+e0/MX5yDcHv+l+7dR0/X9yD rMgwpH7QGtnapkg36odEvfbwN+2PwMF6SBIxSbZBT/jM0MKUym7wstMQ9z2Q LGKZUBHLBIh2SQYdkWHSH7m6g5Ek5OTHJOCXK7/i1+uXf2fDn/t2SeX/xgv1 cLLWkHzIibw8x/eU/NSl5RZFbN2IyKpQOFqHIdA24dHjFZt4zJkRjZgER9R+ qYXVuuZITLBAZElrpC1phYD0/ijwscI6uY59IDZ8o4EFX5uj8JVIucZdEasE Kuf3zIeIn98IRsW/fVH4UhASB+YhySUXPtPj4RTggrBIXSSEaKMwejrW9DRD 7bd62PKtNkp76iN9zBRstrTGtglmmOUwFa72SzDPbT4s57rCaUYSfF3TEJMx FT6u6fKe9XzOdmzPfuxPOZRHuZRPPdRHvdRPO2hPorCL9tFO2ku7aT/9UMQs gdI/+kl/6Tf9JwfyIBfySVvcCpHzWktuq3TMsU5wJE9y9WvGOnuOG8eP4yi/ a1bHKk+8qOa1Szc3N8eiWFdx7dYVLEn2wuZPtRA3djKSc/oiOv99+M/7HDHp bZAXoY0tHw3C6k81kNdVC2kdxTztZXfU/p8DVv9jBlb+00me5c7ryuecsZox zIvO8lz3JWOK8OthxX68Ow9Vi9+7in245i3LQ2UHPez8TAe7Px+IJW21UKw3 CZssxmOnRS9ECDtip+RglU02yiaHI2ZSIBLsQzCxwEleec96Pmc7tt8h+m2y mCDlUB7lUj71UB8L9dMOFtpF+2gn7aXdtL+pP/SPftJf+k3/yYE8yIV8yIm8 kgS32DGTsfkzLcmTXFXrhB5lDKV9XLeyecedOFRdnnBRfhf2y/l12G7poNgr rJk5llOa+ThhnInSuLGY+30y5o7SweJeySj5tBR7hyRjp5sttrpPw8FRcagf UCbm8YXKtTK5OKlVgGOGmWgY5i/Xgzw4FghEw9AAnDUOw+GpjtjtZ4zTRpG4 YOKDwxYRqLPKxL7JkfAfmYodk+Jx1cQTF/V9ccHQDxcNAnBi2Bxkur0hrxcN A0S9v3zOdjsmxst+7E85lEe5lL9L6KE+6qX+h9mnWM/iL/05Kc9QUZxRT3/p N/0nB/IgF/IhJ/IiN/I7YZwhz7Bvfm6lQo4fx1GdW2m55ZbyXa5V++owR/N1 DPccAx+ttzFzSh9su3iqSZs/XxpV84smeQjmPpKmmKJI5xPkafdEjs6XSDV7 ET56r8t3woI0X4PvpA/hXNQGfpM+QpDWa7Kez9mO7dmvUPRPFnKu3Lh4Vx+/ 63vAu2qPU1QcyIV8vLXewTDPsZIb+UG1hl9dWly5k2M5twPTZY4l9ZFyLDx3 JMA6AfauwUhIHI2FI62wwM4OIZk6yFj4KoJyOyA3ZjoqtUdirZh3bGyvgfL2 Y5H9eqTcr7f8NX8xz/dDyUu+KHnZH5Uv+sn3qUr+4YWy53xR9EqomLuEobJX CUId5yPGZS4WJsxAaKA15lpZIN7PHeWxdlgZNRnxwUMQETMS6QmjkR43DNGx xnCeHQwXmxiMTLZH4Ixw+NpEwCdqlLhGynvW8znbsT37sT/lUB7lUj71UB/1 Uj/toD1Vwq4KYV/Rv0OlvbSb9tMP+kO/6J/0U/hLv+k/OZAHuZBPsOCUseBV ya1K8CNH8iRX8iXnR8utpMrx4ziqcytPp6jmtofqTz9WjuXqlV/QeP0y9tkF IMhjCtIr34HfvE8QW/w6SnP6YH6fMcj/Wgf53XRQ0WY4lv9rNtb8Q8zlX3BG zXOOWM25/d9noPpvdqj5mxWWi88y8akS91V/m44ln4Xj0IHLOL/9KM6vXo1b V0TMUFEh/o07Y42/Leq8LJA3ywgZ3sNREjwYYcWdkemniyhrFySMd0fCJE+k T/BG/OQ5GJU0RV55z3o+Zzu2Zz/2pxzKo1zKpx7qo17qpx20h3bRPtq5TGk3 7acf9Id+Sf+En/SXftN/ciAPciEfciIvciM/ciRPcm3OGLJw/DiO6tzKUyzy u8zb2F/iggNaqWhoZo6F8cpxoyzMDZ+KcK1RiO9ng7xv87Blpj12eE/B3h/C cWJgKRoGFiniFJ2m/XNRL/SdGPwIORZ5Hn0AGkzCsSNED0fM3XHWJAQnhwdh hVs2zg8LxOLevlg5LQUrnIVdZsHK81NCcHy4BzJd35RX3rOez9lu5fQU2Y/9 KYfyKJfydwTrSX1n/ihWUeZW6Ee95NfkLHodxVp4+k8O5EEu5ENO5BUmuM0N nyY4zhU8m5db4Xhx3PbL3MptdW6lBRfV2UcF8TMx7odvYTO5N2aM6YS68/Xy +a2nNHaq2OUmriN5WQySjd9CuuEbKNfqinTjfgg0/BjButwH7ENEDn4HySVd 5DVA3LOez9lOthf92J9yKO/P5lIeVlQ8yIecbCb3gfkPXSQ/9dlCLbuocixR XMdiFfpIORY/ea4739NyRmyEFlYEO6Aoyh6h875CzLxPEZNojgXjJmPze32x qU0/FLcbihwxj5//dy+Uirl9yfOBKHgzCgvfjcGSVqGI+SweUQPLscqoHBWa KXAeno1gxyUocShDjHMBEicuxsLeU1D9zSCsaj0Qyy1EzBJrgsggfSSEGiEp yABxgQaIDzAS9ujB038mPKZlw8VnDoJmhMLHPga+CePklfes53O2Y3v2Y3/K oTzKpXzqoT7qpX7aQXtoV5Cwz2XYXGkv7ab99IP+0C/6Rz/pL/2m/+RAHuRC PuQUM+8zhAhu5EeO5Emu3vLszD9+J0zmVsS4Rcl1K+rcytMsTXMsv159tByL aj58/tzP4vfwLZxeuQbOGaMRkvMpEvLfQFpFRySZW6HwC/Hf0dd9sfJdHSzh XF45t+ea8oq/OWL5/zhh7b+cMK91MIo1crFVKwt7JuajOmkrti86iYsLD+KX SzdR61+HytcG4cdPuH9xH6RNnYb0MGPkzByEfDddFM/SQuZMA6SGdkau1wDE O1kj1SIQKZO8kDrBB/FTPTEmdbq88l7Wi+dsx/bsx/6UQ3mUS/nUQ33US/20 g/bQLtpXk7gVe4W9W7WzpP30g/7QL/pHP+kv/Zb+Cw7kQS7kQ07kRW7kR47k Sa5NOT9s7Fg4burcyjMofDdeXC6dr8UOS/tm51hOaebiuGERMtxHwke3HeLH 2WK7p4hTJ4g4YWAJGjTm4ZSMU3Lv318rH8f0RNwyXBlfPCwuYI7FMAL7ra2x 28NM7kd8cYi33H/4sHUcant6YbuWJ3ZOS0WZk4iRhjH2CMZxs7vxCu9Zz+ds x/bsx/6UQ3mUS/nUQ32n/yBeod20n37Qn/uyEv6TA3mQC/mQU/w4O8ktw32U 4FgseTY3t8Jx4/g1KsdTXVpeUf0W+/nqfljb9sRoWyNMGvYlqk8clPVPO1fA tSHMu63clYfAqCFI0XwBWUYvIla/A2YYDkEQ9zUe+DbiRryPhauHIV5cec96 Pmc7tme/wMghQk6ulHf7Kf97U3GpPnFA8GqDMYKbtU1P/Hxln6xX/3VomUWV Y9l/bgcsvR4tx+JvEwcPh3jMiRiP1DBDrA6aibzE0fBd+AoiEoyw3N4BlV8P w49dDLGgtxmiPw1BcLdClBlUolr87g3TScTMafORN2sxcmfkwdMmCXNcshDq moWAWcnwmxEDH9tIuPPseJsIBDpkIHxOBIo1jbH+k56o6TcauTK3IuKVEBPx MZafePFzWog+ZodOg6ttqpDlCjcRo/jZCzkJ5vI8kzninvV8znZsH99EBuVR LuVTD/VRL/XTDtpDu2gf7aS9tJv20w/6Q7/oH/2kv/Sb/pMDeZAL+ZBTRKIx fAS3AsGPHMmTXMnX/4/2B1PmVjhu+9W5ladeVHPcg8yx/LT/Tt1Desj/vX7t Murr98ifj2VlwaPIAJaV78KtrAviHO2xqMtg/PSViMXf18S8D92R0zUNa/Xy sNsgBVv8V6Km5AhOLfwZ13Y34MrVW/jPH9i5Ja8S20wnYOvzHbCglxniYm0w b5Ym8lz1kSdijKKZRkiO+RZxkd8jwWUC4qb4itjEW37ujVcUdXwu24n27Mf+ lEN5lEv51EN91Ev9Dyu0n37QH/pF/+gn/aXf9J8cyINcyIecyIvcyI8cWciV fJvyftDYsXDcDqpzK8+mKHMsB0tn4qB283IspzRzcNyoDOmjNFA6rh/2WoXK M0RODSh5aJzSNMdyUszxjxtm4tRwvlcV8NA8yxnxqR8Siu1h2jg+xhsXDAPw 0/RYbLZNxx4db6zo6YvrQ3ywaVIqls7IxS8i1jg+zFMRr4gr71nP52zH9uzH /pRDeZS7PVQbJweHSn0Py6vQXtp9XL4Hln9vbuUhcQv5kBN5lZr3R/poDcmR PJuTW+F4cdzUuZWWXVT7d63fkIXxdt9h2qRvULo2/J5nT7Oovh89dHY3fCpH I25qR6QPfAEZpi/AZ+h3CNTSQyT3Ux79CdZucpBX3rOez9mO7dmP/Q8pz417 Ft+7qviQF7mNt+smOGbe80xdWl5R5ViiVTkWuwfnWLgXlb91PJxdohERboyc mLFYoj8NBQkDsThfzLnjfFFlNQHhDuaISJ2NZP8CRFmmYZZTKgJd5yLENR2+ zvHws4uCB9et2/JMe+7FGy333JJ7GSv3C5b7Y9mJebtlHBzcQ5GUNB11ZuOw 4oOBKHGYgqTYIUgIMmoSaxgjMcQI4dFDhOwkuAfOwnS3CAQIHR5JFggUV96z ns/Zju2b9qc8yqV86qE+6qV+2kF7FPt2xSv2dRb2yr3MhP30g/7QL/pHP+kv /ab/5EAe5EI+5EReS/LHoCBe8DOYJnlGCq7kS84P27ON48TxilbnVp5ZUc1z ubfUr1f/6Mx7xZNLl86g/shW3Lp+Hct7j0ZYtAkCSkagIGY29vsGARcuY8ua Rdi/fCN+u3Adl8Svyof/tlTuWMZ9KG/exu1bjfKsxEaFcfK7oWvX/oPthuNQ +0oXRM1yRE6gMQpcRIzhpofCWcxFDkR2aGdkuYn/hqZ4IeUB8Qrr+Zzt2J79 2J9yKI9yKZ96qI96ZVTXqLCHdtE+2in3CoPqc/9Cv+k/OZAHuZAPOZFXQJmZ 5Le89xjJk1zJtynv+48C5HjJPcHUuZVnU5Q5lssyx/Loe4XVi7n3ec1S1Jn6 I2vUINQblqChf4ly7UYz8gRsr1mIEwZizm8WqHw37MF7cJ0xiMQ+F3PsnzUO Z8XPp0Sf1W7ZOGoahAU9vHByWBAum4qYxT4Z26anin5uSHdtJa+8Zz2fsx3b sx/7Uw7lUe5+IZ96HrZ3mTzLXvSRdmv+7j2wP/pIPrmSF7mRHzmSZ/2jsFPu CcbxuqzOrbT8IgboauM1RCeMw6TxnbF0cbCsvv3MzsBV/Ca99dtNRFZbwz+1 P1K1XkWG0SuINXkNSZoDEDVIxC3DP8HKdb7yynvW8znbsT37sT/lNJX7tIuK 09LFIZg4oYvkSJ7qPxAtt6hyLAeYY/F2evheYTwncXoyZvu5IiZOF5VuM5Cv PQiR1h2xUmsi8uKckBFlguAUI8zw8obX9Dh423MP4Bj4WDEmiYGvddydeORR 9uz1Fx8PWxF/hFsgJ2EksqdZYpX2eGREjkVciIGIOe7mR5KCjRERYQRHjyBY hbnBIswTQUKfe7KFvPKe9XzOdmx/N9YxkfIol/Kph/qol/r9H2UfAtsm8YzQ R3995N7MMZIDeZAL+ZATea3UnogIwS9fe6DkSa7kS84PGwfFnmBOctzUuZVn U+7mWM5g/e6H51hU78Hu21uDq7iOm9sPomDAAFhP6ImDg61x44DiXaa9x37E nuNbf99bsSVPk3hErnF8+HRflmtXfsXJU/tx/fIZXC6uRH7fUYiPmopiF03k u+kjb7Y+CudoIiqJ55wYIMLJEWnjfZE68XfxirhnvXwu2rE9+7E/5VAe5VI+ 9VDfyVP7pP6HQ1R+bjfeE8/cb908uZAPC3kdENysBL+CARqSJ7mSb1Pe/6VO OT4cL46bOrfyDIsyx3Ko1PmRcyyntHLE3LoMaWb6qBsciPODSnFCN7tZ6y/u jVm4/j4Lx4eGK2KWB6zBPyPiixOjfLA9TAcnhoTi4mBf1FmnY8+0WCzp6oGj RgE4K9qdGhGEZQ4FOPyDF+a6vCGvy2YUyHo+Zzu2Zz/2p5wTMnejI+VTz4PW 1su9wISdtFexp1dz4rO7H/IiN/IjR/Ik10fNrXC81LmVll3kfsTi/3YdX4bx Vp3gnjAM/AaN3ws9y29kbjcyxmhExbpoxNdZI82+JzI1/okQ07fhZ/w5ovpp IWZwO1Rt8EWsuPKe9XzOdmzPfuwvz1BpfHbn9zYqv/cjN/KbYNkROwXPRmmH Ok5vqUWVY4n5gxyLv20s3O2TMDtwKnLizbB4yHQE2XHfbE0sdbFDQrghwmON 4OoVgIDpKfB7lDXjj7Cm3NcqGbN83BETpoX0uFFY6maPLH97JIXpIj64yftc waZIiNJBsMcsmPuFwDbCBQHW8fBINpdX3rOez9lOtle9TybkUB7lUj71xIRq Cb0eUn+zztR84NqfOMmFfMgpIcJQcivR0UKwbTfJk1xnB06TnMn7YbmVGHVu 5ZkXZRoDSzftxKX//OdO3X+3Av5z5RL2H9qKxt+u45RLEKZO6Yv873qgISFd Pj94sA4HDq9X9OB3PY8QjzzUNuX8Yveuavx6RbFn/b7EDHh426PYWwd5s/RQ 6KaHLFdDRMd3QpF3PyQ7WiLJQsxrJnrdE6/wnvV8znZsz37sTzmUR7mUz0J9 u3c9PHZ4NCcUn0bld1/kQ04sDfHpkt80wfHUzCDJlXz/c+VSk873imLhOHG8 GhvVX50906L8m/+fC2uxU+ZYHr6OpV47B+e0y7DccDbyh4zFWa0KMdd+3Fil aQyUj+M6BTg+JBan5Pnx91mHP9QPZwyisct9BPbbWOGiXhh+mhyNzY6ZqO3l iR91/HB+eDAuGIuYZnoq1lrFYN7Ml7HWMkbes57P2Y7t2W/35CgpZ7+NtZRL +dRzv3X1tIv20c4HrldpxofcyI8cyZNcyffhuZUKOU4cr6bjpy4tr6j2501e EAWHgMG49Osexd58z3gu0KjYVR6Hz+/GprNbUbXIH/H9/xfJZq0QaNgKEZrf I8pYA3N3+ckr71nP52zH9ptFP/ZvKu+Z2U9e4kN+9oJjSlWkrP8z+z+ry9Mt qhzLoXPbYeX14PNY/Gzi4DojHiFxpijzskb6KCPEmHdH/jgHpCaMREyUPjw8 AuFryf7NOEPkj3IsQq+LUxyCokcgKcAAiRHDsShuGooTrURMoY94+V6YiVyL khqsD5fwaZg8R+j3mg0/0d9TxCu88n6KqJ8VPlW2U6xdMZH9KYfyKJfyqYf6 qPcP15I0K/6KkXzIibzIjfzIkTzJNSTOBG6Cs9/99CpzKxwnjpc6t/JsiyrH sv94A7YfOCrnwLcf8H39jetXcOzMftze/hMSh+ljllkP/Kd4mXx2dO8aHD1U p5T5pMZPYcflKxdx9vxR5XnjN7F4YTKyI6agwFULubN1UDjTGBnhXZAY1Acx buaIneqD9PHeiJ+mjFfElfesj3EbhwTRju3Zj/0ph/Iol/Kph/qot6kdf9ob JRdyIi8W8iPHJMGTXMmXnO9XbivfS+M4cbzUuZW/oMi/+7dwqGymPM/jYTmW BjFPP2QwFwmjNbBXNxOntQrkOet/du6uiFnycEKbuZYMnBgWpngHrMlafJ57 zz28jo5T7uFlHI4zwwOw1jUHdYYBqOntg1/MgtBgGoCTZuFYPCcZGZ6tsNgt BSdHhMt6Pme7dYaKfmeG+0s5O4J1pVzKb/jdmnraQXukXdoF0s4n4S+5kR85 kie5NjwkDmpQnrfCcZJvZqrnay22qOZrp6/WQy/cAIsPLJT1f81evIrfpzdu XsGmnxfg5192IXTiF8jUfhE+hh8iTPNjxA0ZhjnbYhA7eJi8Zz2fsx3bsx/7 N5X3LIuK2+KDC6EreJ6+ckI9r2rhRZVjiX1AjsVHzJMDLJPg6O2BhMThqJo8 FT7WHVE1dBJKoiciOkIX7m4h8LFMeaS9rZqVl7CNhZd1MlyD7JESri9iiaFI jxqGXI9ZyPKYhMy4IXKPL8YeicFGiBDPPJzC4ePiAU/7BHinmssr71kfGTVU tmN79mN/yqE8yqV86qE+6vV7QJ7j8fMsMZITeUWH60p+lcMmwcu2ExZMmir5 kjN5+/wublTlVmLVuZW/tNy4eQsH68/Kn38/B1bdnzl7WNz8hn2+gZg0tSfW mE0GLpzH8cObcGz/OmXbJzt+jcrv2I4c3IjfflO8i3vq3H4Eurmi0s4CpX5G KHTUFf+99hX/1jsjx80UiVM8kTbe5554hfeszxXP0yI7y/bsx/6UQ3mUS/nU Q31P4/s9lTzyIjfyqxkxGROn9cJ+n0DJV3LGg8eB48TxUpe/oKhyLOfXYuf0 B+8VdkInG+c1q1A6dCIqzCbhgtZ8MX9v3rktfxiz8Crm8Md18nHMOBX1Q0Pv jVu4t7FRJHYHGOPQNEdcMgjGZusU1E1KwIqu7iL+CMKpwYG4OCwQNZaxCItq La+8Zz2fsx3bsx/7Uw7lUa5qTzBVnEL9tIP20K5TT9BXyVTwI0fyJFfyPXG/ fJUqtyLGh+PUdNzUpeWVW8rfaz7rkxGzIU38dOMvPTeEORG+x3X4zGbsv7QN laWBiNT4G4KGi3hF5z1EaPeB9coCeeU96/l8vmjH9uzH/s86t9K0KPjdQPTG NPjUJSvq1N9ttdhyJ8dydjus75Nj4Zzd3SYVs4OsUBUwCbFTdJBsMQglXraI jtGDi2sQvKwebR/e5n58ZE4hAS5uoQiPMkZ6sIgpwkyR42+BVd8PwXyX6YiJ 4/kpekgScUh46FDY+nnBwd8drvbx8BXxCq+8Zz2fsx3bsx/7Uw7lUS7lUw/1 Ue/vY4YnFbN4WaZKbuQ3T3BMGq+J2Mk6ki85k/c9sZIyt8Lx4TipvwP4a4rq uKxdh05i+54Tyrp7f7fdvPkbLl+9iPPLauA+vA98B3+Pm3sOo+H0Phzfo5gT PI1YUyXzp32bcGhvnbL2FvLLsrCwrT5qpkxBtp8Z8ub0R3JEF6S6mSDEYTYy LHzviVd4z3o+TxbxSp5bf9mP/SmH8lQ7A1AP9T1tn8iN/H7bc0TyJNfzy6ol Z/JuWlTjwfHhOCnqnrhp6vIoRZljOcIz7zXT/ivHwlzAWa1CbNdLRtJQfRzR y39oLuDJxC2FOK7LuCUF9cPC0DAsQL6rdc4wTMQY9tjtZyrPoD8+LgQrneei qreXaCtimuEiXjEMxAa7CIyv6Y0NthHynvV8znZsz35n9COkHMqjXMqnHuqj XuqnHU86TrknbyI4kie5ki85/z5nJXMrYlyOyPNW1LmVllxUf++P/ucw7Ko9 cIM59Ma/dg9ele7zV89jw4nVOHOxHnHD30aM4VvwG/QGQocOwqgN58V1oLxn PZ+zHdtfEP2ayvmrfCBH8iTXo78ekvXq+VXLLYp5wW3EVYbAySrsnhwL302a Yx+LoKRxKHGcgjkTu6Niph0y4k1h4+4LL+sU+Ns++VilabzkYZMMt7BpSA01 QFLgUKQmjEbVyB+wtHU/lI6fiNL4CYgNMUBsuB68w20xInEm5jhHwjdpgrzy nvV8znZsz37sTzmUJ+UK+dRDfU86t9L0Q17kRn4Z8SYod7GH66TvUTpjsuRM 3k3fCeN4cFw4PhwndW7lryucD1+9dgMli7fi+o2b4k+86net4nrlPxdw6PB6 bEjLwqywKTg5vwq3r1/Db9ev3tPuaZXfbt7AvsObFd9DCFU/7l+NONOR2PhG bywxNcfCwHEIzPgaeV79kSTi9bRxASJO8VDGKx7ynvV8znZsz37sTzmUp3gX 7rbUQ31Ptyh4kR851lcugEv4FGxMzZKcybtpO44Hx4Xjw3F60Dt76vIMivK7 +qvn12Dn1PudeZ+D0zplyDIbjGoDX5zT+oO1Fk/kk9sk35KH48bpODE0Wq4j OWUaiu1Bujg61gsXRQxS5zQXZdqh2Kflg3NmQThrHIQjVr4wj+gjr7xnPZ+z HduzH/tTDuVRLuVTD/Xdzac83pr6R/3INUGCJ7mSLzmfbMpWlVsR48LxaTpe 6tLyiuo9mLR9GdhzSbHnS0v43ca/A7/duorK7Yk4fOkn5IaORIj28/DTfxdx Q75Dd58CxA3+Tt6zns/Zju3ZryXEBSqOey7tQ6rgq35/pWUXVY7lMHMsnjPh b63Iscgz7a0SYefuh7mRUxHgpIVC69FIjBmNaX4uYl6fKufeD9t/909/uDeZ sGHmnGBERxkhLXA4EsKNUOg7Fas7aKHu055YajAGCWGWyI7WxQwvB5ikzoaf SzC8EifLK+9Zz+dsx/bsx/6UQ3mUS/nUQ31PYp39A/NGypiF/MiRPIsE10BH TcmZvMldnnXP3IoYD47LYXVu5S8vqvhky0/HsGXXMUWdXC+hqD9wbDeuHT8I 1+AfsDw59M5zRXm6f19UNjSc/xmXfj0nf75x7TwSoj1Q/dkAbH+9K2p6jMXc ECPx6Y842ylImBCExKkeGC3iFV55z3o+Zzu2Zz/2pxzKY6F86mmq9yl6Jv9X xXFZchjcgsbiquBM3iobVM85Lhwf2UedXPlrS6Mix3K8fDYOajHHUqCYT+uI +bRmGWpNfZA+Wg8NOuViLv+0Y5X7xy31wqafDbNQr5eJ3fZ22Ok5Auf1QnF0 cgQyJqRj/QAvXOBZ9YODcWS4NybN7i6vvGc9n7Md27Mf+1MO5Um59PkZxSn3 fARPciVfciZvclfkVgrkeHBcZG5F/TelxZa750MexMKTRYq6FhCrsNw5i+XM Niw/WIAtW6oQo/8vhOi/Dy/d1ugwPUBcP5X3rOdztmP7pv3/6qLiufBkseQs 69S7tLTYosqxJM4PhZNlGAKYY7ETc2quSwmYjeSIUXCdY4Ci6MmwjrCGh20y Amxjn26scicfEQt32xR4hE1CeqgJEoIGIyN2DJYbjkJNmz6obtMXi78zwpo5 U+EwdxqmhDoj2DkQ7klT5JX3rOdztmN79mN/yqE8yqV86nnQ/lxPOmYJkGe3 JEue5Orqpo+UsJHwDXCFp3LvAo4Dx4Pjos6ttIzCebHqO3xVjkW1r8iZ04ex dEECvLIccG7bdhw+sVd5Lsmz+d1HPTdvXsex+l13/q3U7VyOrEFDsP3d7/Hj G71R3Lc7FvvyrFVzxE92Q8JkL4xOmy6vvGc9n7Md27Mf+1OOQsdtKZ96nqVf 5Eie57btkHyXVcYL3kfkc/JvmluR49JC/qb//1wab9+S+bhTYp6yfbw9GgZV 4CTPONTKxXGdEqQPNsJGkwgxl573aGeFPOmP8uwSud5dxBRH9QuwMcgch4bH 4qxZMEpsM1Ch7Y9fhor5/uAAHBnhieFhA+WV96zn8xKbDNme/difcmSMoqWM Uf4C38iTXMmXnMmb3Mmf48Dx4LjI/7TUZ+W12KLYZ/c2Vp8rxo3b11rcPFpl z4ZjK5G+0QH+4z9BuMHb8ND/HK97ZInrF/Ke9XzOdk37tZRCe8i3WnBWfIff suxTl7tFlWM5cnY7rNxnyvUSPHtkjn00AuNnICBkOLLixsE5drqYYyfKvbOe Rawi5/bKHIuzRyBio4yQHjAMCdEmmDdrCqq/GoDqTgOw5uveqGmvgURLe0T6 RsDHKQCe8RPllfes53O2Y3v2Y3/KobzYKGMp30/mNZ5+vHInz2ITJ3mSK/kG hAyTvMmd/OWeYGI8jqhzKy2mqL6z/3H3Mfy4U/E9PufTt0Q8+fOedTAPsEBB 5FTxfAnOXz6nnNM/w3m9KA1nD+Pyr4p9Aa7duoQ4fw+se6cXNn3UD+s/6Cr+ W/gKuSOtUWgbg7ipczA6aZq88p71fM52bM9+7E85LJTb8IC17k/RM6mLPMmV fM39LSTvWzKOV46JGA+OC4s6t9ICivId+6u/XsP28Ok4osez28U8Wrsciwbb o2iwhZhTP2A9+J+aqyvm6/W6OfJzUvnhefAN/PB8Ra18MX8vxEnNItRrF+Ok XiFOa8zHPhtv7JgejF++q8K2oZXwM1mAE0YxaDCJwx6zMIyM18Ce4WHynvV8 znZsz37sTzmUJ+UK+dRDfVKvjsIOlU0qG6W9Ok82ZiFX8iVn8iZ38uc4cDw4 Lo1Qb/jdUotqznzy2n6cuPbTPXUtpTQqv0c9++sJpOxwRWqkLiIHvQwPwy/x zqwkeeU96/mc7eT+MH/hOvv7FRXXesGZvJvWqUvLK6ocS9rCCMU6FptEzHKJ gm/mRLhnjkVgrD08efY8z2B/Ames+Kg+8t0zxUe+/6X8+PMj8yvxcl7vbpMG 70grZIYORWKgCbKjJmBZ/1HY+Gl/1H6lg/VtNLDkE21EjvSBrXsRgrKmyyvv Wc/nbMf27Mf+lJMZOkzItZTyqUfqo94mtvg2sVF+bJ9MvEaO5Emu5EvO5D3L JVry5zhwPNS5lZZVVDmWeYu34tr133Dr9m1cufILwsv98UPYSKwq9sP/a++8 o6I+0z1+7v5xz7nnnrP1nN3sbsq9N23TXI0xroUIxoYxRpNodJUbW9RQNSp6 rSBgVyCi9GKwRJqCIooVBdSIiqKIxiRWsIIoIEz73vf7zgyOiGlqdhKeT874 5u3P8/3NDO8z76/U1d+0tf7h33n2CMcxHLA/R0THRmo+k/nOOp1rc5PDPg/P 8ai4Uqbqrb+b5pfux8qOb6PsD+1R9EQHZHX5Ewr/1A5Z7Rch3i8a//u5t06Z 1+Wqnu3Ynv3Y32qDdVz7NfdmbYelMTZoatt9ffjBithVgdaV+noonZdkztG6 cz4ehzTZW3E69B6LSs8VZuDoiAm4otbyp95OQISHC071XoHLPdfccy34xZ72 eKNJzMG1vntyY8yhn1nSXcUFKiYo75Wm2qSquhRc6Z6Ka10zcM1tPa52zUSF WwYuuKbjnMp/7ZaJr7ql4hs1xvk+cbj0TqTqE4aLb4ThVOcE7B+wGGWBfZDv PxvHg3wQ9H8LsN9vKq4NnYRD48ZhWFBfHPIbp/MsZz3bsT37sT/H4Xgcl+Nz Hs7HeTk/7aA9tIv20U7aS7tpP/2gP9ov5V+FY6zD52j2ahLrUCfq1YyO1Jc6 a72V7tSfx4HHwwLZW3Fm+A1ab67DsZu7YeK9tJz2e80Cg6keNfVnkLp1AcL7 /xaBbz+L//JdolPm01Q569nOWQNk/fdL6VxSvVvrLvGK82Ky7d1vP7oNY6ZP wLyxSZixaDbm7B2CZcv9McOXccPyu67tCLKtue8bbzjEHMG+kQjh3sy4aMwd H41546KwQK2RFvnEYJF3LBb6xCHEOxqBXlGY5RWNaV4xmOoTiel+SxHwyRI1 Rih8Jk/FktAeiFj0LgIT+yAsZBCSuv0Na/s+i5yez2FHt+exyu01zOvqj1WT plpTlWc569mO7dmP/TkOx+O4HJ/zcD7Oy/lpB+2hXbSPdtJe2k376Qf9oV/0 zzHWuX+80yTWYVulK/WlznP2/VPrTv15HHg8eFz+lfcuFO6mcY/l2HkcKDmj //+ry6cwKP1D5Kn40myx3rfKMca8E2/cu863j2l6CHsCVbdqcLnyJorLSnDl xlWcPrIRa9ZNQtAYT2z6ew+sadMXKzu0w+qXXZHyxw+x9NlPMXHqNJ0yz3LW sx3bsx/7cxyOx3E5Pud5UO6ngbnx/jdN4x2rntR3V04oPsj4UOtOeBx4POzj CE6CxfrP7TrusYxWa+1MpL8/ApsGeKOqRybKec6UWpOX91BrdPc0tR5PUWvs FFztlqbW8Ov0Wv5K1/UoV+v5C2p9f9ZVxRuq/Osea3FWrcMvvh2Dy30jUNF1 Cc67LEOpm4o53gtH3kczsdvPD4d8xuCCrx+qPCegYtRMnJwUgMLw8cj5bBQ2 rR6FHWHeuPjZAhg2x6E2Jx5VXyTiws4RyAsdiAOT5iB21KcI+HgnrvVbgXN9 l2Bg4CidMs9y1rPdbtWe/dif43A8jsvxOQ/n47ycn3bQHtpF+2gn7aXdtJ9+ 0B/6Rf/oJ/2l3/SfOlAP6mKNddZpvagb9aOOWk+t62qtM/Wm7tSfx4HHA7K3 4vTwmesmJ78Xgn2vpPx6CZZv9ETssGcxq+/j+LPnIpU+ofMsZ71je2eFesuz 7p0b+9dWVV0dpsROwQSvSCzMnYjQdX6Y7hmLub68b9hya8wxnjFHFOarNftC XxVv+Kh4wzsO81U62zNKr/FnesaoNb+KO3yWYca4cASpWGCW7zxM/zgIk0fP hdfYhRj2SQgGz5yGoUETMDLQDwEhk1UsMRPzAoMwfWEwPo6djqGr/fHP1RPh lTQNeUXrEbt5DKLCXsWy5LaISOuJpMHtsKL7i0ju8g9sbtMZ4Z3eR3Srj7Dx hYE6ZZ7lrGc7tmc/9uc4HI/jcnzOw/k4L+enHbSHdtE+2kl7aTftpx/0h37R P/pJf+k3/acO1GO+TR+tk9Jrvo51rDrqWEfpSn2pM/Wm7tSfx4HHw/H4CM6B fY8lNecwjAYLEr5KROKBxTCbDN/d+Vux4FJlNS5dv4nLV617NDW1Dbh4pVqX H/36LDILjiA99yi+/PqKrt+04zg25B/H+vwixGdvRXbhcWRsP4q9R/Jw49oZ ZO5OQUR6HCK7vIdtr/TA52+1QkaPF5D3u5HI+tVkzGo3UKfMs5z1bLdctV+q +rE/x+F4HJfjcx7Ox3k5P6E9tIv20U7aS7tpP6E/9IvlD/qOps7Um7pTfx4H 2VtxTux7LJcKs7Bl7AeI6zUMZT2ycEatpc++lYiKvtG41Csc5a5L8I1LNI70 jEXB4IXY5TkFheO9UeI5FhUf+6JytD/OjQ5Eyazp2BXlg+yVI7E5aRS+CJ+E +m0xaNgUj9odSbh2OB6nT8XjyJcrcXC/infOlqo3zGXAUKGMuaQsuapi2huo N9ajVoXdxiZvGSOqUer/Ca67ZON0u2SsdM1GvmcBjr2zFoOne+iUeZaznu1K /cfrfneNY4Een/NwPs6r56cdyh7aRftoJ+2l3bSfftAf+kX/6Cf9pd/0nzpQ D+pCfagT9aJu1I86Uk/qSn2pM/Wm7tSfx0H2VoRHQaX6Xs4I9EKY+2Nw8fBF qPufdb7ygf8uCsLd2M8n2bBvM0YtVnHy7gD4ea/ADJ8IzBofhuAJixHoOxfT xgZj4uj5GOM1H0P9AzEoYAo8gsfDe/Z4LF4wA6FBsxAyOxiTw2djdOJUDP3c Hx+s+AQRmyKwd3868vPSsXvvOuQeyUDaiQwkl2Uh5sAmFJ8/CaOpGgZDlf5+ N5qrcdtUg1uGety4bX2/l1acx9LQIYgPHoj4sCHI9RiDfU+5If+l7jj0fBcE dBqM6NbeyG7roVPmWc56tmN79mN/jsPxCMfnPJyP83J+2kF7aBfto520l3bT fvpBf+gX/aOf9Jd+03/qQD2oC/WhTtSLulE/6kg9qSv1pc7Um7pTfx4Hx+Mi OA/23/BPlF1F1PZcLC+e01hXbzSgQq3JK/RavV6X2dfqF65WYuPeImTllyAn rxQmk1m/svNUzFFQYo0D9qg4YI+KA7Y7xAHbjiKroBglX5/RY1+8fOOesZvG AYa6SlRds97H6+KN04jxGIHS3/wDeU+3x6EXnkLWY4OQ/euJCH5jqE6ZZznr 2Y7t2Y9wHI53h+biqnptF+2jnbSXdjfGVcof+kX/6Cf9pd92DagHdaE+1Knp 2NSTY9c7PHeFulN/HgfH4yI4E9azAA3quOUGd8BenyE4Mi8QuQljsHHNKORG jsa5lHkwbovF7U0JuFWQiPJjcTjxZTyKT67F4T2bcf30ScCkYg4jn6vDmOOa +p6+hboGA+rqvmP6Jpbci/p+NRnVS8VVpgYV/5pRlj4TX74bhjNdU7Hx1Tgc GZKDjCnbMW1xL50yz3LWsx3bsx/7cxw9XjO/I/+Qdyf9on/0k/5qv+m/0oF6 UBfqQ52oF3WjftSRelJXra/SmXpTd+pv0J+fn+66OqFlYD8HJPuzRYh6y12t bYYgqo+7yi++q14QHgb28/Uqa6qRXPgpQuLmwSd8FoavmoyhaydhSMJExGQt w74CxhwZ2PXFOmw8lo41ZRlIPL4Baw7vRK2hEkbjDfV1fcO65jffRJ2pDjfq 6x94F9D+vIfC4hQsDXZHdNg7WLVwLLa+2ht5L3dBwYtu+LxTd6Q/8xFS2g7X 6dpO3XQ569mO7dmP/TmO47g/FvpF/+gn/aXf9J86UA/qovVROlEv6kb9qCP1 pK7UlzpTb+pO/XkciJxH6XzYjwj/9A8PW4SQVRnI2nUCmfmHsbWoWO8xpG05 0rhWz7HtgWQVHMKBEyet8YVai1ts9w+7fP2WLrtRU/vAtjG+NZpMeq/h/MUS 9f7muR9mrNqwBpueeRPFT72ODNfHsY3XfP3aD4GdPHTKPMtZz3arNqzW/dif 43A8Pe5DiJ/pp45HlN92DS7Z4i7qQ52oV47D3g31pK5aX6Uz9Q5WulN/ewgj nxTnxqC+J2G0rr0tlioYTLWorTPhh/z62uwx5lqIcQL3cmwvs+3VeM+Lxntf OLyaDGY/5/D61QM47OODy90zsfHlBJztsgoX+schyaeNTplnOevZju0d+99t bNM5ram+D7fdRtvL0Y/v5fd9oJ5aV6UvdbbGOtes+gvCI8Bse8+WnN+LhP6/ R8DwF5Hw7u913rFeEB4mFvsK2XgLJvVd12C6hVq1Zqm63YAHe8fd+X7my+Tw MppNtnM57n7d+c9+bz8Lqoy1WBw5AjEhfRC3fCg2DBqOPc90Rt4rb6KwjQuS nvdCwusjdMo8y1m/YdAw3Z792J/j6OdnOIxvafq3xTansYm9jn48yCqJvakr 9aXO1Ju62+0RnBu+NwwGI6orb+u1dsX1arW+Nz7YmI3Xcfz469jt753qW5U4 +dURtRYy4+CJPES9OxgH/+iCra89jaInOyHnPyYiwGWoTplnOet1uxO7dD/2 5ziO4wIPcl+AB3tfU1/qTL2pO/WX88B+PjT/y/6dPY57Yw71HjLb1vnNxRwP G7P13jNl6VNwzj0OeW1XYn+n1SjvnYAY39d0yjzLWV+mnxFvfkTPiG8m1uF3 gO06r2ZjnWb2dmQ3RXj02O6JcvsmFo1ohaD3/4pFw1vpvGO9IPx03D/m0GuT +8YbD+e9arHde/nUuYNYNvcdRIf1Q2rAWOS91B35L7kh99Uu8Os9BMkdhuiU eZaznu3Ynv3Y34Jmfg/7sXY1iawc/beu2x5+rCM4LybbNfVN1+osNz/0e2fd B9tz7s99c1jfR6uh/gYiQ2eg4C/dsKfN/2Bd61eR8rvxCO7koVPmWc56tmN7 9mN/6zLx4a3Hvi3WMTfGOk1jNmu58HOmuZjDybBYr7epvZ6PL338cbB9Gna0 /gwVfVW84t1Wp8yznPVsZ7H1cz7u3dcRhEeB9TNgAXfwohYPwII3/12n9bZy eecJj5Z79zicAXuMsSpzLsIDuiNp+XDk9h6MwqddkN3+DXiOcEVqx4E6ZZ7l rGc7tmc/x3H+1TS/tyP8XLCvu53yyOl7NJpw7Giuzuaf2ImVnd9F3jOtsavd 00h/chiC2g/XKfMsZz3bEfbT96dxsv0Lx3jHuSwTfikYzQacWOqFk11XYNMr yTjbJx7xvm11yjzLWc92giAwZLeuqXYneCOg46906lguCC0N/dxEtVApLT+L sPBBSAjvj5QpH2PPc27Y2toVke7dsb5LP50yz3LWsx3bsx/7y/MXhV8+tj36 mkpcOHsUDZYGRIQEY/9f22NLpyew5YlBCGw/SqfMs5z1bMf27Oc4jiC0BKzn ogHnDq7AsSEzkf1CGsp6xGDF+LY6ZZ7lrGc7udeWINy5pj63eCfG9/2NTh3L BaElYn//byvagnmz3LB6+Rhkdx2gYhMXrGzVH2tc++mUeZaznu3Y3rG/IPzS 4T4iz7E6d/oADIYabD+8A/Ht+2LH649h818GwL+Dl053qnyCKmc927G9PndN 4nqhxWGNzxtM13AyzAdbX1iLfa7RWD3hNZ0yz3LWO7YXhJaM/TfgsjO5CB3w nzp1LBeEloi+9t5sRo3JiJVpQYhc2AdZvmOw97+7YEXXzkjq5q5T5lnOerZj e3PjdTaC0ELQ94ww4qvSXbh45RiWeY7Dob89hdjWPeH/xkc6ZT5ClbOe7dje 2c4DE4SfCovJ+pvWlf0R2Nx9Dra2TULK5LY6ZZ7lju0EoaVj/22rvKIIoR6P 69SxXBBaKvaYvfRiOUJC30PqkhHY06Y/1vR/Eat7dNEp8yxnPds59hOEloM1 7qi5dR0Vl0qQmZWMxI5tsd71OUx3G65T5lnOerZz7CcILQ37GuvamRPY5z0W 619ORLJ/a50yz3LHdoLQ0rH/tag1GDEyba5OHcsFoSVjjz1Of1OE8E/fQ87Q 0Vjr9gpSXLrplHmWs96xvSC0NKznhZlx+dxxlFaUIG6MN3a0fhL+3UbqNFbl WX75/HHdTtZhQkvHYrbej/JEWgDiO8zB8tEddcq8xVYvCMLd1BtvI7V0jU4F QbiDfj6eSldtXYyM4GFI7PwWwl95T6fMs9wIeU68IFjPC7Og+GgWFodOQGS/ v2Pim/10yjzLjfZnXQhCC8diuyd4dVURVg0YhuB3eumUeeujUORviiA0xWiq Q9HxYJ0KgnAHfS2K+rtR09CA8JhJ+Oz9D+Hf7k2dMs9y/SwK2ZUUWjzW6+eN tVVITVuA8BHu8O33mk6ZZ7l1DSafFUEg9s9D/tpPMP/tP+jU/jkSBOFeTGYD zlzK1akgCHdj1ue6AIfLS7FmoSciBj+tU+ZZLueBCYIV+zrr4tVTmJY4Eh4f tMJ0lTLvWC8IgvV6eu6lnC3MQeLL/6ZTvbci19kLgiAIPwL7PfALi/Mxbclz 2FtccFe5IAhW7M+J33L8Cwya0BGbj+2/q1wQBBu2rcaaqlp87jVDp47lgiDc i8Ui6y5B+DYsFgtqDAZ8cbNQpxY5D18Q7sH6bHgLqmpuIvl4Dm4bGuT6LkH4 DnhqsSAIgiAIgvDToeN5+RlMEL4n8vuXIAiC8PCQ61UE4fsiazBB+F7IR0UQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQhB/B/wM1hpxJ "], {{0, 609.}, {812., 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->200, ImageSizeRaw->{1624., 1218.}, PlotRange->{{0, 812.}, {0, 609.}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779813745568223*^9, 3.780352339187055*^9, 3.780396937814784*^9, 3.780397458323133*^9, 3.7803998714101458`*^9, 3.780400245911079*^9, 3.78040038592487*^9, 3.780401141895205*^9, 3.7804013029854727`*^9, 3.780401823377112*^9, 3.780402278184195*^9, 3.780402406546978*^9, 3.8485077350986347`*^9, 3.848520729883074*^9, 3.8591939809411707`*^9}, CellLabel->"Out[7]=", CellID->49714925] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Mandalas made with random scribbles", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.8591928403129187`*^9, 3.859192855884467*^9}}, CellID->397913863], Cell[TextData[{ "Here are mandalas made with the repository function ", Cell[BoxData[ ButtonBox["RandomScribble", BaseStyle->"Hyperlink", ButtonData->{ URL["https://resources.wolframcloud.com/FunctionRepository/resources/\ RandomScribble/"], None}, ButtonNote-> "https://resources.wolframcloud.com/FunctionRepository/resources/\ RandomScribble/"]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.859192858887533*^9, 3.85919288645796*^9}, { 3.8591943194985657`*^9, 3.859194319970636*^9}, {3.8655236934517717`*^9, 3.8655236934518337`*^9}}, CellID->659844609], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "67", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Clear", "[", "ScribblesSeed", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Options", "[", "ScribblesSeed", "]"}], "=", RowBox[{"Options", "[", RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"ScribblesSeed", "[", RowBox[{"radius_", ",", "angle_", ",", RowBox[{"n_Integer", ":", "10"}], ",", "args___", ",", RowBox[{"opts", ":", RowBox[{"OptionsPattern", "[", "]"}]}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", "t", "}"}], ",", "\[IndentingNewLine]", RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"t", "=", RowBox[{ RowBox[{ RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", "opts", "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], ";", "\[IndentingNewLine]", RowBox[{"t", "=", RowBox[{"GeometricTransformation", "[", RowBox[{"t", ",", RowBox[{"ScalingMatrix", "[", RowBox[{"radius", "*", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "1"}], "}"}], "/", RowBox[{"RandomReal", "[", RowBox[{"{", RowBox[{"4", ",", "12"}], "}"}], "]"}]}]}], "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"GeometricTransformation", "[", RowBox[{"t", ",", RowBox[{"TranslationTransform", "[", "p", "]"}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"p", ",", RowBox[{"RandomPoint", "[", RowBox[{ RowBox[{"Disk", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}], ",", "radius", ",", RowBox[{"{", RowBox[{"0", ",", "angle"}], "}"}]}], "]"}], ",", "n"}], "]"}]}], "}"}]}], "]"}]}], "\[IndentingNewLine]", "]"}]}], ";", RowBox[{"Multicolumn", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "->", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"5", ",", "6", ",", "7", ",", "12"}], "}"}], "]"}]}], ",", RowBox[{"\"\\"", "->", "False"}], ",", RowBox[{"\"\\"", "->", RowBox[{"(", RowBox[{ RowBox[{"ScribblesSeed", "[", RowBox[{"##", ",", RowBox[{"\"\\"", "->", RowBox[{"{", RowBox[{"200", ",", "200"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "\[Pi]"}], "/", "6"}], ",", RowBox[{ RowBox[{"2", "\[Pi]"}], "-", RowBox[{"\[Pi]", "/", "7"}]}]}], "}"}]}], ",", RowBox[{"\"\\"", "->", "True"}], ",", RowBox[{"ColorFunction", "->", "\"\\""}], ",", RowBox[{"\"\\"", "->", "Automatic"}]}], "]"}], "&"}], ")"}]}], ",", RowBox[{"\"\\"", "->", RowBox[{"RandomChoice", "[", RowBox[{"{", RowBox[{"10", ",", "6", ",", "3"}], "}"}], "]"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "150"}]}], "]"}], ",", "25"}], "]"}], ",", "6"}], "]"}]}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.695247608834527*^9, 3.695247688948646*^9}, { 3.695247740486519*^9, 3.695247748787524*^9}, {3.695248200834244*^9, 3.695248219644912*^9}, {3.69524830101731*^9, 3.695248303029666*^9}, { 3.695248651560013*^9, 3.695248692622301*^9}, 3.695249141614985*^9, 3.6952616280819283`*^9, {3.6952952072964077`*^9, 3.695295242491837*^9}, { 3.779208777054577*^9, 3.7792087781559*^9}, {3.7792649196690207`*^9, 3.779264926809774*^9}, 3.859121015266863*^9, {3.859121212750643*^9, 3.8591212155624027`*^9}, {3.859122441054821*^9, 3.859122481826309*^9}, { 3.8591225188399553`*^9, 3.859122601027762*^9}, {3.85912265748247*^9, 3.8591226595746393`*^9}, {3.859122755249219*^9, 3.859122825129737*^9}, { 3.8591228733933363`*^9, 3.859123105279923*^9}, {3.8591231422698107`*^9, 3.859123158495146*^9}, {3.859123262111294*^9, 3.85912328147666*^9}, { 3.859123519617413*^9, 3.8591235242070637`*^9}, {3.8591236115996428`*^9, 3.85912361232668*^9}, {3.859123681830186*^9, 3.859123776506954*^9}, { 3.859123828208273*^9, 3.859123828589734*^9}, {3.859123862722146*^9, 3.8591239422597523`*^9}, {3.859123982133224*^9, 3.859123986372617*^9}, { 3.8591240225463743`*^9, 3.8591240226986*^9}, {3.8591241250541067`*^9, 3.8591241260227013`*^9}, {3.859125154710946*^9, 3.8591252179125032`*^9}, { 3.8591253035710917`*^9, 3.859125358585195*^9}, {3.859126133931367*^9, 3.859126138715722*^9}, {3.859126827734468*^9, 3.859126836304769*^9}, { 3.859130792660427*^9, 3.859130799925556*^9}, {3.859192914106537*^9, 3.859192928037866*^9}, 3.859192959040842*^9, 3.8591932967456083`*^9, { 3.859193403426461*^9, 3.859193428530925*^9}, {3.859193462235113*^9, 3.859193643977106*^9}, {3.85919379368935*^9, 3.859193798395092*^9}}, CellLabel->"In[1]:=", CellID->501567900], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsvWdXYlvbLviO7i9njP7Sf6H7J/QZZ5zzvucJO9WunJNl1jLngJIlGlAE QZEMglkBAXPOijnnLGLOWVHpuVhKWVq7nr0rVz1cexZ7gbDWzPOa97zD/+Ma +MTj//iP//iP0P8GXp64IH8OCXFBP/2/wZvnAaHengHubrcDEO6e7iH/y/X/ BB/+v+Dl/wL/oGuTFVZYYYUVVlhhhRVWWGGFFVZYYYUV78DZ186AFVZYYYUV VlhhxTcLK1OywgorrPi8ODPja+fCCius+BcwGo/39rYPjw5OTk++dl6ssMIK K6ywwgorvjLgXczQYIuuKb+pKb+tvWJ/f8cqRLLCgjNrZ7DCik+Ps7mFxdX1 HascyQorvi7AADw9Pf2jYbi/t61rzgcEqaW5oLlR095acnx8+IVzaMU3BXOH OTm1ihO/IL7kKmklvV8LcCtv7x6n5kiJsZj8smrwFkzOXzlbVnwGWHnvN47z afCPW8loPNpYXxodboPZEUhtuuKWpvzx0U54ifxiWbXim8X+wa51pH9uwDV8 XZgA3p2a8YmaABrVZ6dG+I3RaLS27BcGaMrDo4M6XW10Ap4rJqbnJG5urX3t TFnx6QFG2sWFdYh9i4DbZW9/J1PFK6jMae6s3t7ZuPwFwH+mJ/ub6vN0Tdpz dtRSVFGZVVAimzeM/+WHmZ93cmLlVN834G6zurFc3qAFSZjFSJBSrM36BbC9 s2m5fuexy+lfn2kv3+TiGjTldv9gc6aCm6MWflhWrfgwnJxA1LSnvzmKieRK I5PFVI6ILEqNXVlbNJ03ulWU9EPAPNY2d9YBGf7aWbHiLVgOR8BWZXdvRz83 SUtGhsW8DiTbq8syjMZjy250ddXQ1KhpbjxnRyC16gobG9S1dcqujsq2jsrG jqp/yX7PTGfb20sLhoG1lfHe/ob0XM7+3pbJSpu/W8ANNzs/qShOieKEB1Ed lcXyY+OxtUE/E0C1Hh8fN+jKhHLawHDn3PzU5T8dHh7pOofoPMXAyMxfui1Y iy+a7M3rycnxzGzX7FxnS1sBT0pNEhLbOmsB+7WqwXwxjE4tRbMFSAqOxadw JZRkMZREsihtifJrZ82KTwN4KFU0FjBEEb299XvmBdF6HPMNgp8WS2YHUxND iaxAYkIgISEwXhQxuzBlMgsAh4fbABeqrVE0vc2R6utVVVXZefnC4urc986c 0B8O9rdmp9v1Mx2z0x05qmR6ErKqLs9kJUjfM+C2A6QoUR6FZ/hGc5HsFOr+ wR78x6+btx8MYBienR3MzfXLsuLBQsnmR3BE5NLK3J3dLbB/SU5RPHGPvGGD /s8HQU/cyXS+AhklGZ+eN71Pa8Ws4rK1OD7W1tVZvb6+Yrpo0PHJQXFaPIuH B48QpESDxJVQmVxsV1+z6XxjdWbePFmb+GPxzioETdbZ08jkJRBjseLUSJ70 nB0BphpKwL8OJfYN9U3NjJxahUjfPw6PDkRZ8cLUmIryzKpKRX19QWlp1sRE /8HBnnl8WYfYV4B5ajtbXV+qbCqs0ZXklaXHCbBYuncE0x/P8MPF+2LoXuBi bXMF/v6sfkzXBEhRoYUdWTgSSD1dVYf726Z/RXXW16bmZjtXl4Y6u8o4Imi8 C2TRpRWZuzvL5zmy4ruCpcmaO6vDol8Dag16DjrWQ5rLPjjYh7X9rTqlnwrm I5Wt1bWh4vJU81oZJZTHJIvJQnlsZg4rNY1n40X43RZz1xH/ux3m/7vlF5Oc s7d/+P76Pz7eX1maAKNyalxn0Pdvby8bjUfg84Wlmcra7ExFIl8aCTiSeajG gNU5S8m1HgR8PGBFMQvDfOfU19xaIk2PTRJRGFwyiw81AVdMAW3BSKawBZQk IQnQ14Hhnj/6uRXfMqC5EdrvnJY2aHNUvJLi9HytVKUS5OZyc3KTlUp+Xp5w bKzPdD7qre37dVDVXORPsg2LeR0e4waWNkJCAI7hG8UJ7x1sMyzNTs+Nw7I+ WH/bsDClay7obCsFjOgyR2qszxsf6/qjR8CD9+Bge2iouaenYmysua29WKUV CGVgboeGOT8lqqenbG1Nb7KO9O8KFyY2W4piGVtGJSYEwuyalxHX2F55cLj/ tTP4A6KzpwqMmgReBLRcSqgggeGjKhDU1Cm1BcmkuOjfbbE37TD3nPCvfGNs fKJKa9tN0Bb16O3bmIV+x/u7OysLhoG52S6QDPoe/UynQd810Ffb29twcrI1 PFoPlmMepP0C7WXANRizIjlNoRHW1pcly/J1ncMLS2tG48kH6DtZYcHewVtW wHBdAmablFLkFhbvFY5HU4lRCSS4FcztDhEkNp+aLI5MV2Qaracx3zPq2ypS 0ujqPBFgR4AUVVVmN9armxo0ba0la2sL1t3lFwZEWs9OB8d6BJnxmVohjY8B ixqJHQT2/gRmALTAMf3ASifKZqSpeePTQ+DbJ6cnZtn+2erGsrpImlcoqa1V tumKYHbU2VbW3lI4ZjZke/cTzZ8vLozIM+PEabFgPgczLYsfAQ928FaSHidI iWzrqDgxHlgJ0vcCmDN3DbaQ2cFImgfGLHsEiZAQyBATopORimL5/JK+s19X Wqfe2bVqmn0U4KobHe+jJ6IEsmhAVDhiMkxaAIEBSSiPimbTbtujf7XB3LLH 3nXE3XHE//NZODFe7h/BS1fVgJ+fvJlsIcHFxvr87HQbzI4saX6ud2S4oaIy KzuPA9gXLDuyECRRKk1TLCktT0vPSLzvhP3lJep3W0wMJ8f0B+dEVlzHmbny W/q6h6cmWrvGohKznrpTmjuGTk5O4Qa6IEj7oSSWcyCaIwKTJIX/5oiNwuKT 45LICTyqOI3T1NZ/emqt+u8MRuPxysrC9PTw0EB7bbUa8CJLqijPrKzIKivN KC6SFxel1tSoNzZXd/e2zb+zNvRnB8xI23obUTRPVKwHLt43wsyLLAnQpMjE UBIzQJTFmFucvvxbw9IsluEXw0WC+dNCkFT5ApVWMDHe/X6Tis0Ng0orAlNu ooAIb34vdkPQLpgnjZKkxszODpouGTxa8S0DTPLGE6O2PJPMDiEkBIBk6UJY ug+W7g26FmBKclVySa3q2HxqYyVIfxUWxWl4UPT0t+raCjRF4su8xSyGJQtl kUxevGsI8Ykb8bdXmJt22N9tsbfscT89R/79cXAcR7K7a/ExeC7RnZ3pMui7 rxAksyipe2N9dGSkHvCuRCHp7QeRwLOUWl56NtstlHrDFjwFAx7UOzRlguYW a/v+a8BaQ3S50J2Esg0k/9fjwJ+ehdv4RB0cHpsgxfhzo5jd3a0sVXKymMyV UDgQOzXXv4jC4pFJdFIIIcIHhfVBUWOTc0+sQobvB/AYHBxoKypKzVZywTZH nBaXpxaqLwiSUsmHk0rJz8nh5Gsl8kxmVVOh2WbR2tBfAgMjHY1txSk5rAhG AHwscjmBT2gcJEja8qyxqcFZw8T8kn59c3X/YO/o6FC/MN3cVlFdld3WUtyq K2xu0uZqBT3D7X/muRubyzX12kwF5/KUCwmRpFGAICUJicUV2Wb+Zp1m/xq+ vPLWyQlk+VjZVMCSkrMLJJEcBI7he5ljg1dKUqiiWNbcWdPQXplbLFtYth6h fggsMvaLi61cDZfFJ1i2GBbxTrKYlKVkkuPjfn2JvmWPBRwJokl2WBtv8gsP fEl1q8m8/l7c7WRzfXZ+rkc/2zU73aGf6bQQJHC9ON/X01ORmZskSY27/CDw FEkajcpkPnNH33XCgfsDDvbzC+Tj1+Q4Xu6x9bDnXwHW/Nza2SbxWbd9nV+E +zwP9b/liEqWFVQ1dg2OWWwPz8Ym+lMyWGzBWw3NFlCCIwhuCIIfhpCprtze PXrfw6z4VmE0Hte0lKKZfkwJSaERKlU89SUhEkgqlSBLyc3UisQ5LLAKf+38 /rsAVhVQFmfZBTnj6AGRnDfHaiBZFjiw9w+neaYqmCPD1bgEdhA1PFFGjkwK 6xpoAT9fXNbX1alaIW3twqb6vLHhtj/16NMTVb6YxcMni8hX9r/1DXljo7rJ qcGZuXHrAvpncAqde55v17+i+gcY5jt720U1SiLrKs2GlZEwdC8kzT0k0hnw KFjb39q+fx6Hh/tDQ+0DA81bm0s724vjY53NzUWFpXKBLDpZQkkSkSwCWDCg wKs4NU6SHsPmU+854syaSFgzgcHa+RITuDyDYdZ0wbJWVxe02pTOjtL5uXdL kMZHmyfGdDpdvlgWyzLbylkIEj+FgqdRLyRU2IeuhMduZARV2NQ+aGFfVvwR 4P5f1lx/18/leZjv01Dvpwivp0F+jz1xf3sU7hzEYIm003NL4Dsj4721jaWi ND5oaJ4k0qJ9lCikUBmUCBplaHTEZB1Q3xuMRmN3d2NNjTojO1Gh4KrzRHmq N+IjtVqkUYu1GklRvixbwZXnsOP42OpG7crS7NRk3+G5Vqe1xT89zDrzZ5D8 9vQ0WpD2jxfhzz3xwURUVCLCnMIo7BDL0kZJDNK1qfr6m6O4wvs+6KAoxtbW 4s7+ztHxETwet7bX6xu1TY2a6akByFfSnzsUm52baO+qq6hRCmRRsMT44lQ9 anCgZm9n8TPXwQ8IuDmmDYvbu3umzz9bwvff2d3q6G+ubSkprMoRZTMxdG/8 JfHRW8e15qM3kAoqc3KLUhrbq75AJn8MgPG6OD88PtoIu8XQT7fPTLXpmvPH x5o7ukrA8JGlM7hiagIXzxYQLmQ7sXxpvB+afNMed86OzK/RTGZ5qXRubtJ0 cX69trbY3l7T3VU5M9U+O91xnSNNTbQO9Nd0dpU1t+TX1OWKU2M55n2N2W4u NiePhYmi//MZ6rYD9o4j/pY9ziEwdnXdqmb2PpzbqhweotmxzxC+zxA+EDsy p2cIr7segfdfo244B9x09ZtfOjcc3tndFKcxGBxMkpAEah6aLQFBlVLDyfj/ fjuALc0/O7NW+PcFqLFa26vTMpiABQE69EZklCeAz9cychLFabFsMYnOx8UL 8VE8VFl1zsxU3/RUv/H4yHITKz4TVjc2bEIIv9ujbrzCvfRGE5khxIRAOMEr GljvkDQ/QQY/JJrxD8eg314jIhISG3QFuo5K2Mv9BUfaWFtb+EuP3t5cKK/K VmmFolQatOcVU8HOCIx9SXqcukC8vQ1PC3/Y+mfW6ffiCLujf6RS13FwCI2X vtFJByS1uqUTXBs/swtruP4Xlg3cNBqe6RdOc0fFehLe1mG7nuhCXLqGX1qX Nz4zbHq7EcEEbzXTeCcAk9nanDfoey7UhLrn9N2L832ry0PDIw3d3RXafIk0 jV5elanU8BMFRIGcNjxcTaYn/v0pynK+Zk64W3bIitpa07n2i9nwcHtjTj+2 ON9vPlC7Kj6an+sBCVxACVLb7skvkrL5BJ40EkzdsgxaWjbNH0v6+QWkDQ4d sT1HuocxRib0h0fHX7vavl3AI/fw6DBSnPQw2O15mM/TEG8LR3oa6gNo0pMQ r4jk+N393VP4y4cH65srPf26gpJMehKaKwF7SVoQHkukM4trWo+OrbX9PQGe 91Y2ltNVPIWSr1GLYVIEErgGvCiCFRQW5xkS646I88Qw/TjySEW+qKQso65W 3dlZ16wrL6/ImZoagn2nfO3S/DgwGiHPt/NLa3SeIo6nCCRyb9hBUyjY/d1z xvjjkZEceIHzA+wISfOUZsfEi5N/cw296R720Bdzzxv10A/z0BfticUYFiCd 7Q92y2A0Ho2M91bXF8CnAxwxhZGMSctmNTbnA5o0MFB3eLAJewex/OS650nY Pd1H1sn3C3hoaCob/redH44lPjo2aqoabnuG24SSuobGTF+AI52eHh0fltVr kDHu5MQQwjUdtqtCJGZAijIJfN9yg3fc07onuoaTE+P8XN/cbOdl9qKf6YRT X1+1rrVgerJtbXmoujYXECTIGjSN5hpM+M0GB4b2LXtYQQj72yusL5IwPNx1 IUWGqlqvH2vRaa7cHE4T4y0jww11tSqwvS0oTFGoeClpdK6UyuJFFJWltLaX YKOiQyIod52wb07xoAfh//YkLK+k2XRJzcmKK4D7+eDY7CMfxCO/gMeBfpcI kjdgRzZhgR4kXFN3h+ktk0PT2vpyS3s1VxJZ21gYRpU9cY/qHpz8asWw4oMA E5ultQVhLis9m5WtSAa8SGMWIqlUAqWKL02PT89m5yq44G1hfkq+Rpqbm6xQ cBVKnlLJralW9fQ2b26sfO1y/FCA58ORiTm3sIS/PQn92+PQn56Hg00lrELw yi/MFxccFhWIiwdrWQCG7sOSkgcGG2IFYsCIHvigADuCkg/qpnu4bRhpbX3R Qlc+JtxAYVlmAg+fmsVs7yjp7dep8qXxSajqerXp7DwsJphjj41Gy/dhRnR0 ZFxYXr9StH8rwHU+u7CEZ4tuuiFeIcjOmOjnwYRHftgbr0NDaJypuQXTZ64Z wE+likS6EM9NjyWyAv/ocM3CjnB0nxguqqQ2D9AqWApoKYsJ2k+tFjUUf77c fqc4OTneWJ+9zl5gCc/EmG58rHllaXBstKmkNE2YEsMWEMznXxRcdMR9p/Cf X6BvvELfBhzJHv+rDVJbVHh2eiX4y9n+3uriwujcbN+V+wP2NTbS1NigrijP AhN4Xp5AlBKTKCTCxhS4qJgbNrhfXlyWUAEOhnn8OsI9lDw2CekYX1OKuxJO 999u2MI4gzYvxuK6+md+6Ie+/m+Lj8wpxOdJsO8tb1cyn90zMmQxYLREnQA0 uEFXykstdgqK46UW/pvW4/cG867krS1DplYYFOOKZvpJ0ulpWazMnKQcMynS aiRmyiQGHIkvj9EUSCqrcxsaNJ3tFbWN2uXVefjn61ury+tLF7e19oIPBDy8 jo6N2do6pjDPH8d54k4B+8rbF/oJN+1BwoDXu06Yh6/RXthQSpJPAAXzCkG5 4RZ61/uCHXmj7vug7nqhngXh2jtrTacfpSd2anap1Nldy0jGdHSU9vbVpWYn ss0+kSRp9MLStLqm4qkZSPkQGSU2LK6W13cOjM4YT04wTKE4t9gPx+kamGju GHq7pDBXe7NB/lEBi4+K6pr/l43XA1/MHc9wwGMdkSTQRo/9cbfcETahpPb+ kbPPqbkN6nlnd+v4+GhuYTo5LSYyCYFn+P0RQSImBIbT3FNUyXB2wAJhOm+n U1hvbWt32zfGv2uk2/RvtnTCoTr+6K+AIM3p+/UzkHbQFRMzs6uiHvDaoivU aMQ5OclZ2UmZiiSBLDqBi8tUJg6N9KVmKyOi4399ibxtj/r742C5osJ0zQYf PGJ2umt6sv06BwP3XzD0AiYGmFJ/X01rWyHYywACxhYQH7igwPbqtsMbdnTL DnvPCf/Ug2TvR27r6jW9Fdbk7Scaj/6dWvgtwLKjzZ2tcCbtcUDgs1C/J8E+ T0J8rnCkZwjv5wgfdzJaqsl96+dmG++RsZ6JqdGtnb2vVAgrPgqHRwcjI10d HbX5hfL0bHa2IlmhhM7alCq++pIaEkjg81RFUkWNsqpOy8mMQ7H8faOcYyQE eb4wVkpEJvhpaxVfuzTfPWDGAAgSmib52/Pge674uy64mw4QI4LZ0S1nzG0X 9C0X9Av/cC9MSBA5CEsP8CEGPvILu+eNvneJIEHJCzpoi+YJd/d3TR9xJgIv gjP6cUlaXEpGPEdEMbMjKkdMThKSEnj4+CQkVxLZ0tmLp6cmSjS05Jx7ThFz 8ys0UcavrsG3HbG4OPkzT2ooWbC8tvkHQqwfdhaGDy/yqxu9yYxHfphfXEKy tcra5uJfXQNBk4XQONgEYWsvxB6/gGlbhlYQzUWSE0Nw8T7vEyIlBITTPGjS aPATUZ5YU6O13AHmSJwcbjgL9TECye8IsJj9yiHU9YIbjUcz05DPxrnZ7utK 1IC69PVU5ebyCgtlVVU54Bp8UtugEaXSxWl0yOXU2cHa+lp+aVVDY2kIgWnr Fw3Hhb/yiK2txbWVccNc9xVvSLA/bcCOJsd1m+tjG2tTqnwxk4vLyGVFJjB/ eoH53RZjMZH77RWGEEOXpyZU1tXt7R9a9irwMDQeHx7sbxmPDw4Pd1aXx4aH dKur/6a2GHArt3YPO4fGPvFB3fcOfBLs+yzMEyTIkM1MkF6E+d7yccosgcbI +y1ffvyh8p3jwpnV9shINyBFDQ1FlRUKtVqsUgnUGnFRUZoqTwjLjgBHylO9 ZeOvzhPla6W5Cm5GFpufEh3Px3lT7T3Itt4Ue3SCX1NHlcEwNT093NvbvLSk h5/2dQv7PQLeomYXVdkjqfd90b/Yh/7jZQggRbcczye3m7bn6Y4j5uFr1KPX 6Aev0U8Dwh/4oq6yo3M5Evpv9v5ZRZAh0sesv0dHh4BL5xenMZKxgBqZvURG 8qVRgpRokZzGT4li8gjPPcC2lPjoNcnWP/rvTxCvfKLbeoefBuB/dQiz8Yl+ 6kH977f9Y7mQ/16w1qxvratLUrd3NiubCkvMoW9/PJhVs86v+0YnMwrKASOy CyN299SD5YyQFItmxMvUxRJVIU2c0TsybvrMQiTQubZ3txrbK6lJiEhO2DvN /C/5RPJ7TXBR12g9qF4uxNdbu1tVbdWdkFaMae9gn68U+NECjs4NNL6m14LP jctEaGF5va4FCrT0TjnS2dnJ8eHO8uIIICpzs51XJEjjY829PVUDfTWAO4E0 P9e9s20ALXJwuN870Lq1vXH5VvOLq/r55evZWF9fqaxUDA02TIzrrgipDPqe OX3vxvro8fGi6QziPDs7W3xZdFtnLSBa4STaPacLHSc73C8vMWHEuPa20rXV uStl3NpY0JuP8GCmt2Dom5po6eyoOIa0i88DkF2W+v7wDBmM4kAa9aaXy6MA n0cBvo8C/B/6BN33CDErI3k9Q3g/CvJ4Ge4nUGaa3rUJNYfu+tHr6EcB3FCA wOiay3p7mrq6G2oaCqpr1CWlWenZiSnp8akZTHAhTqenZDC0GgkgTnCoEYsf JLVaBBIUoC1PKEylpWYl5OQmZ+dwcnI4WVmJ6ekJUml0X5/OZHWt/EGAG2h1 Y7OmtatK15mlrYlKzLrrgntDkOzeeEp55om08Q1HRAVi4gIf+aHveqEf+KIB I7pMkB76Ym57hqfklZg+1GUunKUGXSngQmJ5jCSVBntxEafGStPp0vS4vALp 5PRQnFD0wA3/z2fIn19A6a5TxH8+DGYIVdFJ2f+0CbnpgPn9Fea2PQ5sY8lJ 8tDYxBeBRDeUe0FFOkNEQES7GhYhRQij8Qcy8TBXNqi97uHxWHHm726htz3D fnEJTZLLluZ7Zqeh/f6ioTtWwPsfL33+6RhE5KTAxxyfby6Ft7egquOE+AQJ CXCk9xy04Rj+bkRXB7yzC9H1cehTsVrCSE8ApAiUaMow5RXp8xJl2zYA+Rq9 rGH+gzEluEX6R6bYErWisME1lMkUqeAPt7Z3r39/YKC1vCxjdKRpZqr9CkEC acHQC9L8XM/ocOP62tC1pobd7r5vOT09PenoqCkqSgWbWa1W0tZabNB3689v PrC2On1i3L98W8PC9IpZ+DM91e8aEvW3J5Aq4217LJpMraqtunLznZ3N/f1d cJOZqTbI/u5cG7zTLKrqProW6/bsDIxWoyXrf7ZOvyvAjVHR1HLfFffYnfTY nXjLKfyOa9g9N8RD34BnoT73/T38SLHDE9NgFPyolfBvBXiSHJ0d5mTHU0U4 upRcXq0ENElZJMsrS5flJYdEuwZQHBBRruGxngki4mWrf7NpG8SOigpkWrU4 TyWA/CNppaWlWQ0NRd3dDZMTA/Pz02CgXVbstOIa/jD82cnJqa5zOD2vGkNL sfGJdg1lOAXH3XbC3HSEjHMtFiiwtvZdZ7R9MAK2ZQunBUdymDdeI266h1nY 0SM/7M8uwSgG9yPb4gyKT3G8tb1WWleckScGTAn2rwJSkpAEXlOzWWk5SfRk mg86zh1Bt/eLug3lFvPIjRTBkN2wQ91xeZPzfzxD/GKL+Ok5xiU0jJoYQGUj MHRvdgpVnJMgU3KMJ0ZY3m/6zmfdk9PTsqY2MifllkfYjdehoDnueCJ/dgmw RYYUVqlmpjsBR1pfGqhpKokViETZmY/9MZ0Do6bPzDHMFvonZfUaGh+NpHkQ EwKvcyTwCZkdHBQX+Apj74Bzssc5gmSHdXAlub3C2BF4JP/YQCwHh2QjSQKS fmEZzRAMTUyjGPzSBsjts/HiKMpyAPedtiOc7eXVDRufqP95P+jvTxAgBRF4 uFjp0NiMnX+stqwJjIzLpaury29vr5rT97xTVRu2ZZudal9ZBuxo92JUvsP+ 9z1nl4BDnZwYp6eHs7M5LboCg/lZgGyDi+XF4cuncleEPOU19WHEqBuvUJQE 2dqq/vTk6PJTTk5OiorSS0szFuYH5ud6r7I7yE330LHxEHx9Rj8+NNq9uDRp Mm0cHhhgI9kfHoaFNYYs5aaXE2zaDx2xhXo9DfZ9FOhjF0R2D2PPmh1Ffqdd 3QoLzp3UzU9Wt5XNL+sPL/YFMHEC4yuvLE1TkVnZVCBSsJOlVOXbEqTMnCRe ShSFFSTJYur1E5ubq6ZLkqIj49GR0epH/d34k2Onoq7zvjPhb49Df7VB/fIS +csL1I1XkFIlYESQIbAD9s5rNKRu5Il0QCBDokIpiUF4ZgAlMbCiNkemyPaM iIbZ0QNf9C8uoS5oUmN7M/z8j8x/ZWvzw2CvZwhfJp/ET4lMvuRLP1FATBQQ xPLotvbKgQFdrlrz8wvMzy+wv9lgfrMPu+10rlgOE6Tb9vjbDvgbr3DeKAwg SBFMyCchlu6NoXuFxbzWddZ8ZD6/HQRGs2+6Ix774+77oO97o51QVIaUm1+Z OzXZDqns6rvHx1qa2soqGrTyvDQ0kzO/vPoFtHrg+/cOt8cKsKDayewgwIhA soQdITD90fG+zhEugBTB7AgkB7wT/PoCaQM+D6QHsdKknpE+qATmT07B3iTG 8+CIxwG4xk74BOr0yuO+C5xdAmyvPTm7ZB8Y//cnYfecIm7Z4x69Jt11wgPm /9SD8tMLpHc4JSJWZDw9/63JTDOWlubGx3QwY3knTVqcH9xcnzN+3DzZ2Vmb m8vt7q6FhTz66faD/a3r21JLd4JbZHFx6m8P/XhphVBWL8mTjcbj9fWVecNk c3P+1GSrQd8NnwNe1gAfGa7v7W0AX+7tb0gSEsB4r6zNHptoEslp2XmClbVF 03fV1n8JcGdo7x8Ki423xwYAjmRO3s/DvX/3tidwEpdWN08+s6cOK74F7O5u jY/3DQ2293Y3NNRoivNlBVqpOk+kOtfT5kvS4uKlZG2tctYcEXV7b2t4ehBw rcziFIY80jfKOSEtuqGrem1r1fTjjpe/hMsL3tHRHti4HR/tnrw9PcJf2dja YQpVmZoafJzsliPEJQA7+uk5JiiC4I3E3XHAxrBIT72wt91Rd7yQNiERHAlN nBrD5GKxcd7hNE9dqyanIO+2Z9hdL+RdbxR4TU6T9w4NWB7yYZkHr4urK75R hIeB7g8C3f3JQYxkHJOLS3orICYVdpHE5FJjE6NIdAqChA/CRzx6jYMUyx0w sN4UdAEdDmJu22Ofe+EQ1LCopFA841wrmMgKBGt0VHJ4eZ0mvywTPPzgYM9i Lftd4OxiRQL/be/t8XO0/pEJNqGkWx7hz4KRfQP1GyuDa4sDBrMwYcnQ29pZ Kc+TKYqztOWqOCk7RaswfRHBK7xcrm+uUPiEcLp/ZBKCnBgSmRwOu9UiJgQE RnvaQuIjRwtBcsQ7u5LcYFESghnuQnR5EGgfGEO1R2HveGIe+mFccTG/uoa8 QpAmZg0myPnw0fbu3tYOdA4FOwz/HqHOVwZhIx38KWavQdi7jjjYneNvNugH LhH3nXARtOTZc0ea5z/p6qoDXGJpcXhqsgvmGGb1aYtOdbfZUVL3/t7G+x78 xzi3mJgZLShIPTzcX1+dMsz1bG7MnZy8j3GdXUxEmtLGkfGZSzzcrJW6s1Ff nzcz3b1o6JuebLuuYW4mSA1qrWTO0L26NqzU8vkp0cxknCQ9DhCkJBFpY/MH n/BhFf3hCf0tZ8RvTn5PQjyfI/zu+/pJ8pSbO1tfO3dWfGLAdhkXtgvQu/WN lZoadXFRmjpPmJmVmJaZwJdFM4UEhoggTY+HD9o0anGhVlpToWzpqk0tFFH4 6EDaazeijU343WehvztgHnlTHdCsgMTMuMVVg+mHHi9/FcfHB+PjHWBrWVSW WlKeptQK65qKzH85s+xc9w+Mqcoa55D4fz4LuwHtUonC1ByXYBIjOSIqIYkt iENR8TdsYUt/7G1HrH1AtBcqJlOVoimWR3GQlMSQDHWqP5XxLAh/0z0cy+Qc 7kOT8Mc4aIRX0p7R/kh+dFVjUVN7RXtnWVOztqZOIcuMvxKdjWsOUM7kkmKT yHFJsRG0SMCFfrU5D50AUSMHzC0n9D0ntDMixAeDi04OikoKIzADLBHlCObz HUiaFOtZWJ6dKKH0D0FaLt++Ptvlrg5fCnMLfnIKBtTornf4A5/w+4Ee+ZWK RUPvzNS5jbZ+tgu8XV0cANcz0+1NbWU9I4OAV3wBh6vwkF/eWHGnejngnWIE eBofQ+ViETRPNB2SI7mT3QERukyQIGqEc3TAOQHi5BXl4xXpY4cFDMrVFuPy Isz7vjf6nhca0CRA3e95o0an9WJl4dPAiFAah5GSkyDP/dyeMD8S5xuBJf3s 3MTAUEdxRW5LR3VReXZmDqumMjWSQQXjDopi9kYDEPerDcbWh6zI5XR3wco8 lg5wajzeX1udmxrXLc4PAPayOA9YR7u53bthvrS7u/rxed7e3oC7ynVjt/cU 9J2fAnK1ujwOOyiAlJquaU+BT1aWBsfHmsWpNKEMOmEXpETB4eTM5+zk8Ulo I/YDT/jwFL2ytqkq1CGiku0xITfdvP7xNDyOqzR9qHrnt4w357M/dLO+BzBH umyWuLSoX1ieK28qDI3zCGf40CUEhpiYks28UEMSpGezWSIiJTHUGfv4Rdit c0bEDuTnJmiqc5q6a/VLM8c/kp7tR8BiMFhRk1dSnqUpTOFJqYBUCFKikyFJ C7ZvsA1WybR8eXllrqOn3S2MceMV9n8/Rqbnqpp0VdEJBBo7Mj1XkpIe6Ykk /PQCfdMOc+c15oYr4jWaXtPUd3gEFp/j6GQklua1tDR7emrc2Nocm9Hv7kG+ jz5ytT05PQF3GJmeYEhiGupz6upz6xtUra0FdfVKeRaTJ428HDEccrrCB3SO yBZEKbUpdA7LLRT70gt34xXmPIyCLXQ++Jst1gMVSmb7RzACyOxgKjv0cshd izQJH+8bFuNWUJlt+n5G6JHxeHt3+wRyW300NTfjTqDc9gx7hfJ4hnBzwoXX NBUtzfdZtud682LU3lVVUKkqrFKpyzLdCHh/KntnDw7Q9rkyaVEF3t3f84vx f4l65UNxi+ZhMIwARzygQI5uRBfzgZqT/dsEyZJsATXCw391sMfbPw5xuecb dNMj8LYn8qEv5mfnQFJyCjtN8Q9H/3teqP/50gsZz4e3Y5+rSB8NOG8KrYSR jAXLPZuPT4QCspNr6pW5eZwwMuU3G9x9Zzxg+5eVAJ+6E9yCCSWV1WfX4ggY jw82NuYX5ocnxnSN9eqC/JT+vmo4FIh+umN7Cw738wkr5M/eCgrseK0hwKSx uDAxO917xXXAGxM5sxOnjs4SQJASBUSYGpn3RFSRnMbmR9Q1QY5Dv+Um/oQA pewaHsopLdZ1Drd2D/87lPqCLfz4Jb0OMJ/rF2fqO6tVFZmZGj4nJVIgj8lW JINBXVyQqtWILTpIShUfGe/jHe1MFeHE6mRtrbKhqwb8UFmRKdPwd/d34Bue mc6sYQjgUbO2Ns+XRjKTsZDXXDEUyEwoj2HzCSUVGVvrUxtr0DHlwT7kaFo/ N8ERUxK42AA86qkPEU+LbOuoSBAwGMkEJi+SIyKmZTO9cNFIGitHq7rjibzr hfQk0te3IOnuweF+Y0dlZ1/T0dHh9Tx8PAyLc2Q2DhuLiKCHE+PDyUxkfDIO jjxyHrhWQhXKYsDkmaVkZisZmQq6JJUazSRSGSQ3BP6Xl+g3BMkJc8sF/cQD RWSZSVGCP4UdfNWNc7wvlu5NZAXhGL6Aje+boyF/s7MQPGmMzIxEiqN9ov3c KZ7RkhgPqtdrsptfDNKbGmGHtbNB2yHisW2d1QuGbpAub8zHx1sBZVqc69O1 15c0NK2sb32xkD2Lq4tekT6A7QCq40718o8NfIWxgw/R/oga2ZuFSLDmth3W yQ7n4BThFkQjvUL5yfNSRNkZN9wQD3wwv7qG3vVG3/YMv+MZ7oSOuq6Y9E3h 7NyCfik1O0GWyQBLPxikYKiCa3OwURJPlkSIJYrTWL4Y8m+A7V/iSD+/QDE5 iXu7G6bLm27zrnNsrE+rFRYXpdXW5ms0ksrKnPGxFv1Mu0Hfc3T0Dgu4D8v2 J8Hx0R6g65PjrVdDvJlFXnP6rtHhhumJ1mZdvkAKCY4uy41BShIQBoY7QHZ+ eD0c2I7ma+fiM+Jcn19Xl1lUAHrx7v4uLim+f3z0a+friwKuhL393br2SqmG i0sKccY/s8c+8o10kmWzNFqp0uwWUpUHhRpRWfwgqUXqPKG2OK2iIb+1o7qu sUiVL5Wk0TnyKImaW9FSvLO//QVUTL8jGI8PlxeHOrtKE4VEWNjCk0SagwtE NjSqK6oyyyqzquuULW1F0zNDKRnxbD6RL6UWVhVLc0QiOdigUZMgR7gU8CqU UdMV8rtOhI6OOkpi8n/Z+d14HXrfB1VQ03y9ys9gNyUf3RDgDq0dNWBvqClM 4QiJbCE5UQQyQwGv8Obx8iQJCiWUx8Vy+GQGjxCb5IWL/O0V8jcbLKBDdz3Q d5xh7SNoTXFHhzxwRQUSg4gsKFTKZWoEaWvH+8TxsSwJGQ9oUrxPdoEEsL5v uV/BGTMsG2o76pt6mkV5YkAwwllImTbzVXiwPdbdHufggHeyQdk5EzxjRLSe vqb5ufNTjEUDZC5El7BehoXecPctrIH8Y5z8RSJhOS7/M9/cO9hdWp1fXJzd 39s2npyEJyBfomwd8c62GHuQ3sOLLAmQKJhB2WFdn4c7hMSFj421tXRWLM33 rSz2U5KZP7v64BMSvYnRzmjKQ1/006CIacOCfmHpw6r3y+Ds7PjYuGSY706B D44l50LRC+koUZwanZYDuBP18euIG68s5ga4X18ixXLZO+95enoyNze5ZtZe Li3NyssTbW+vbm8tHB5sf9nC/SEumOFKV1fdxobe7L7prWT21wQ56J6Zau/q Kquqzk7NSLhMkMwWrAlg1iqtVF6+5w+Pc4mKWarytfPyaWA+SjPFpQjjRKlE tujvjvY0Tg4rTfaTm01ALImTJa/QNSakSXS9ndflpT8eDo8PYyQEd7JtcJx7 XAopNV9YUJ3b0FrRqCtTqd9yDqk2m/ZDGtoKbk5uckGhvLg4vagoraGxsKen aWysxxKI7QQ20P6G17IvjI31udlpSOGkujaXnxJlmW/hGSaBi89WccDcwuYT ksVk2BYsS8ntHWgWyaMThW++DL5QWCLzCI9Plqb3D7SERvHIXBmawR82B1Gy WKl88k4L7tzdpyuuVHBkDKaAIpTTEgUEtoBwZf8IuUUSUwWyqBxNCp0rJcUL ImL5NK4YkJ7fXqBvOWLv+aDueKJ+BwuKA+axO8rWPzyQFBRCDSIk+KDjfPAM f1hPOyLBPzYZRWD4J4iJm1vr8SJCAMkOjpf6HY3HvYO9tML0gLggP1rAK4yt Ax62kXe0RbvaoF7f9LGjcOPWlobmzZ6Qu3trxAqxEy7kcainD5VY1dIJk9sP e/QJ5InlD5kSXIfTc+OgnmnJSI4s0rA0o67NfxD82CnCxRHvdHFq9ocJ8CLH CGefaF+nCGdQInuc05NQVzwHDQqyNN87PdUB+F7fYD0+MWp4pGlqsh0suMKs 9L87BITGctwj4uIkWUfHf15b5ovCLPPZrGnIZXJx1yUkIAkhb6gUYmw0HBIR UH0oAJAD7peXaIfAuM6+kfcvlNPTwxUViuVlwxcr0Z8B3FVWVxcViuSB/urF +bdCvMFRSwb6a/r7aqYmWlcWB7u7y1OzmUlCkqWKOGKyQBZT26DKyU1My84c nYIiT/3YMpYfErA+cmvX2K+Ovg/8vV76Up+Get/28Lnl5vMS6fsg0P22r8td f9dnCJ+OgQHTdzUh/3kAAgOwt7e9srIwMtYjz00qrcitrdVWVORWlOWUFmdo 1GLAglR5AjhMrTnmCC9XyUvLZqm04to6bW19vq61cni4Y2ioc2ioo79P19ZW XVWtKi/PLixM7ej4cQy0PxrQzLO5Pjcz1bq00N/VVX55VoFJRaKQqNQKW9or oLMq858AiUrPYbN4EW9NQSKyJI2WkpkUSKBPTnS0dHWPzRjmls697H4ZLnp4 bMwoVJVWZ2kKRQo1F9bShN1FQkyPF8Hk4elcQqI4vrymdHV5vLiiqLq+jMYT /mofftsRe98T9zIE/cgbdd8F88Ibec8JjYgMIrB8KElotpRATPAnswNwDL+w GPdoTniiiBQa6Tw03tPZr4tKDq9vK7so5jfNui/vqkZmRl4gbZwILsH0UHeK p/kMC1LpccC5Okd4qcpkg0P13X1VhtnuwCjKrx7OT0I9Hwb62YZRGjquRMX6 1w8FpKh/vL99qHN9fSlTyd3ZfbdBDdxPtnc2AeEksYKw8b4UdnCaWkjhRnhT 3G2xDs9Rry5pFjm+86DNEe/8JOx5cWNJRnHuw+DnzhHev/u8YssFq4t9Mxfm WvNzPeC6b6B+fXlQWZzjgiXd80b/7hZ6xxOpKKv9Nn0Kw3na3FwEvZovjRLK Yy5bH8BO40Enr67LYgskP79A3rSH1Op+eYn5+QXqriPmnmPYbzbIlbV107Xx eGW3CLXst9eTQRcaHe0BE3hra9F1z5atLYUKBRQepa2tCIr1NtslTadDw/9C gMyTUnPVSeXlckc/gkNg/PzSmulzatBZ8TkA0/vGjt77LhFPgn0feIc8DvJ7 Hu712D/wSbAP4EXPw/yeIbztkEhPZOLWNqwk+aO18fT0COBC5eU5xcXphQXy 8rIsjUasVPJVIJkjr+VrJAXalAKttDBfVlwg12okao0kTytRAsqkFoIRVFSY qtFIlEpeTg5HlkaHrNsKZT09TRMT/fOGqcWFmfXVxaHJ/sk5KGjCj1eBfwVQ 2Y+P9+cN/Uvz/XUNKliz8fKeFDprk0R2dNeJUuM4Zn2elIz4d+5exak0tpCc XypPFCfjE7iJMimSITw62t/eWlpdmbqk+fDpK9wSn9RoPFZXKYWZidqyzJSs RLPBGgkUClC7orLUwvKUvNLcOKGYkJA0NbeQnK79z1e+933QD3xRP9sjnntT pJlMf1K4GybYDx/yOjz0qS/SnxzghCJ39daVVit9iQG5BZy8YgEq1qOqsai1 p757EHI5eHjNee83i1OzxL25T8dT8EPiQ19h7BwjnJ0JrpdpxqPQJ88Q9h5k n1cox1QNd2y07bE/7qEf8nGQFz1Furiyfmz8awIWs7ueE1Ym+yXaliWLTeBi u3qbdne3j44PLV+4uDg9Pj5KV/N9I2xwZj+Q8XxcTDKKmAAdcQZEucdwIxBx Qc+QLwGvAzTJDufgQnxtZz4cvOwK6SXKJiQ+jJeleYpw4WQwFcWpvX1NC4Ye i90T5Atxtmte3z070+FHJfzN3v+hHxb0hNBYzkVOPmGtfxrAtTQ7N5EsJueX SC3M/1zBxtzPwWtZVbpYznzshv3dFvXAGYei0FxDY8Vy2dBwb52u7/209tuf DMH2NjOL3d5eAgfVvcyR2lqLAUfKyeXmaQR19SpZBgPUhllbALBHEp3LCsAR sVGUZ+6kfz4Ne+kd1T8CqVb+eyr0fo+Au+7A6IwrAekQEnnHLfhpsO9DP3/A iJ6E+ACCdB6TN8z7caDfP5+FhZAEeweHph/rqAje4er1462tFTU1msJCuULJ gxwcqQS5Cm5mTlJKOp2XEiVIpXFTY+jCiCR5lKY8q7gyp6BAdq6hreRDbMoc bQS8TVdwquq0nR21rS3lJaWZ2YrktCwWXx6DTQyqai01fQ+m2Z8ZUOfZ31sb Ga4Xp8aaxURgPomErb3AnpTFJ2gLxePj7fyUaDDhCGUxArNk5voBFqy8BF6D qOTOnvqx8d71zZ2VxeGZyZblxdEvU8/bW3ONzQV0DpbOwSUKIY2j1CwmIH79 /TWL833LCwPLC30bK0Ml1YUoBm/v4MABFfkPhwCwMr7G0V76xNAS4zniCAIz gMz2i2AGPgkIfxqIvuMZ/iI4AkFj3XIPS5QJu3ubunrKmjsK36pE844b9N39 /e2zry3X/ZeyneZeXXB86EvUK1gCc5kdAbIhUAnjpBL/SLotglBaUyDIkt3y CLvrjf7J2a+hq9v019cUkJ+F1QWxWupGcInn4mHWKpDFSDMYNY1F8PQFGJRF fKQolgky4mhcFCBF2HhfPMMXcjyVFMaRUOWZLI40xj/G397M60ARwlmowLig F0gbR7yzhSCBP71AvvSmkB8FBPvH+C4a+hYhdnShc24+l1ky9M5Od26vDcnz svyorOdBEfbhlPmV1U+iF/f5sLy6ODzacXCgT81OSOBF8Mw0CQxb0M+zlRz4 BJwrptKT8Dnq9PmFeb1++Pj4GFDUr53xT4Chofbc3OTiIvnURKvlfM1MejvN MVO6WluKwMwPis/iR5jnKCqbTwQ7O0laDCaK+MtLLKy7ftcp4r8eBmfn151d eNq04tsHaKyd3QNVafVdP9fH/oG3nVAwI7qSAF+69zrsPx+E2AfEbu38aEIk uCxTU0MVFbk6XXlvT9PoaC8/g45nB2ETAnHswCgRni6jJGXEcTPpTCk5lo/h yqJTs1iX44xYtLU1anGukieW01iCCJaYmJ7HL6jK0fXUGZb1xr/glONHBlzh R4fbOXlcWEqvLpJxJZBEGuZLiUKiLCO+t7dGkkaHz9SS3iiFXqVJgCDFcjDl 9crVxYGlhaHtLQPktARyTjIGP+74+Ghzc+0zlAKa5fSGySxlMouP56dE8aWR UFaFpExF4ry+B+w3zUEzweLYvb42M21YSs+vAHNj19AYMp73NBC/vrWl6xxl cNkJfAyBGURI8HVBB93xQN/zQt33Qd32DAckAQrD4YW67REuyMwUZKSMTo1a dCDBxdzceE93bVdnZXdnpWFuDM7VydfzJnF0dHh6etLUUdXSXWdR/do/PBid HatsraLL41+h7VxJbpAE5oIg2WLs3Sme+XX5jFSeEy7ADuNph3Gxw9rf9vJ6 haAi4pJr23s+QPURfJ+eGv8s7IULwZXCRvLMXBp0HtC1EgWENCV/fmXhre+f nZZXKkTyGGpi6EVEWv94PjZJTInmIJNExLKKXHwS7mnYcweck1OES0VrZUBc ECwNA2UBZOkJ4pk93v4ZwjkymRsjorR3l60s9M9eiI8W5npGRpurGgtAr8iv yEPSE4vqW256IGLFGWA0fBfqrPq5LnkmIzUngS+NyspJkmcxQbna20sgK1Sz wx8WH5dXKN3Z3bT85HOo/30xwNMU2DUXF2cMDekAHYKpkWGuZ3lpDFLPnm6b nNAtLfQO9FcDrsgxk/C6xtzK2iy+lJKZy0gUMW87nOtl3bTH/vQ8vKYZOim2 aiJ9F4C7rjC97K57yEukz1OE9x3n8PveQc/CvN5mRz53fDyCiFxUlERV3Gj6 QdWQrjC+3YPdta3VQ7NAfmCwrawsq6w0q6w4o7QovShfpskT5akEqmsESaHk xXBR/tEuwbHugbFuFCFWWZlp5UVXAM88h4c7PT2VSo2gf7A9r0DCFhD7+hvl mfFcSaRQTgMrWpKAYHFJLZRFAQYFy5dkmYy3FJYEpLQc1vQUtL9bXBg2B3vq nNN3LRhGp6cGT05OwB5Qp7Oo63ziUiwuG5rbKvOLUxO4OFj7iMUnqPNFK4uD i/N9Zu8uPUsLw0uLI5trU4d7Cycn5+yld2QCtvw9PNimJaPRcd5kdiBDHPfY H3/XKxzwIsCRQIJjo9z1Rv7NPui3177pGpHpwpkhuBgebqutzqmtVTQ3alqa C0dH2gcHmjvaSpcW3+iofwGcnBh1XTW7+zuJMmpzZ42iWFbfVm4ywdHNTmNl cYA8PEU8B3QFVte5ovPsGOECiMfTsGd2WDs7nD2gHG4U94hk2sLyx9LauJTY SHY46EscC6M2E3JqAiK7KL2kqRTQpNaeuiR5ZAwPRWIFRbztdQrP9MPF+2Do 3hwJBYx6QLMTs5NBKR6HPs0syWrsbrwTcN8Waw/4EklAEeaJ/WgBj0Kfy/JE Bn3v8Ejz0HAzRJJnOkGaBsvrbDc7Nbl/sN6XTPuHYxA7TVFQ09QxMGL6dp3p WYKRHff21OepRZMTLQNDNa1tRQ1Nms7OUtDDtfkSoTQ6LZuVq+bKs1hZKv7w 6IcQ2m8QFj3t9fWVw/31mckWs+Co2zzPDB0d7ppMm6cnG/t7K7OzvYAuckRg gqIkCuNx0Yn46Kh4DsXOL+JXG8jR2T0n3BN38j+fhXmEs2YNK1Zrne8CcB9O kmn+buPzHOEHeNFD34A7LuFPEZcIEsL7aZDfDdtwWz/a0soGpHXxQ7csvPRY jmaWl+Y6O2qLClPTM5jyNHpqJlOelZCu4BRXZBeVZigh9aS34tVm53LSstk5 Sl5+WWa0lOAS8QyXGLyysXTF7aQVME5PDgA9ALWdk8fvG2xrbS/PzhNs72xu ba93dtfWNZWUVuYykzFF5emkRHIcBw/4Unt7saZQzOZHwOdrsCGbplBitgrv mtND/tzAqjQ+2tzSlN9Qqxweam1s0M5OD35W/c/lpcnCohSBLAbWypCm02vr lU3N2u7uiotAnB0zU23Tk22L84MHBzuWHwJSUddaFp2MpHGR42N1ND7ntgfy /kVE3XN25IV66IchsBIb2hpYUsK0WY0NYGNzpbmpoE1X2NCg1jXltzQXNDWo mxu1EFlqKTZ+fjmSeahAgqytnc2o5PAZwwQgFfyMOJaU3NpT39HffGB207Sz t4NOxNhhHACReLcJGM4BsCaQ7HCO4DvNvbrd/V2Lu7APW0qm52cK6wuo3IgE s3zjioYbU0BkC0mYGJ+Bsf65hani6rRYPorEDroSmhYWJeEZfglCYjQ3oqWn cX1zFXChF0gbryjv2QV9RWtVKCOMwCPBmcyr0jwMeWCH9rMLI9siCA7o0Ob2 Mv1s18xUR1GVamWhv6g6L12TVlFXdssj3ItIhy3XvuW18vDwAHTXxfmhqYmW ibHmpYV+ML5mpiHDdnDd3VUOqRbkCQeg0+SB7Z0PDBHyl3B6iX1ZLBQ+t6mC 0Xi0ujIJyri1uWA0Hu5sL1/+6/rGilAey+bjqAz8bQfsLy9Rv9sCUoT/7RXG 4l0cJHycTKaoGB7Xm77tRrcCBtzNpHnq277Oz8P8AB16EuLz0M//6hEbwuv+ a+RNW3xzx6Dp293sfGLARsGzs+MdHbV6/fjIeF99e0XfWNfS6sLewe6x8Rh8 np2VqL5k+F9YKNfmp+RpxNl5fLaYFJOM7B5qsw6EP4EzsyzldHa2f//grdBU tY0leVpBWn7uL56OQZEh5ZXpUxOtQjmNxSdeJkjlVZkL872wH2awyQWEpL+3 GhCGVl2RrqmgEQql1A/utre79VdCD7wD13cHZmsp48L8dG2NqrBQVlujkKTF wec4IG8l5WkXKp3dC/P9hrne3Z1VWIgEj76dvS1KYggi0iUll1VSUxorFN54 jXjgg773Nke6742RKyUnxq2yhoIMrQA8VF2eqSoUA3YEimlJrea3EGWqU82c n7h9Fu30K3c2LM4IMuP7hjtw8T5YujchIUBdlgEoEyhdY3ejvDANUAhzeI73 Gcs74J1eoe38aAFnFx7UPybz6Uoeme6fJCInXTuThbSLRaQ4Lm5kDDrvWFsZ z1ZwiKzA6+zocgqKdCKxQ5ZX56cXZkBWbTH2GSWZ4Of94/2xMjqssb+ztx1C J9x0D77tibrvE37P38M/GksTJQwONTa2ltY2F83NdpI4rJDoeFsEeWLWcHLy TZ9Ara4utrWVmuk9HDGtB74Au4/ZqXbA9ouLUhUKXouucHG+d2938YtmDlT4 xVi29JLPYZRxuR/+QZ+EPpRmMGob81NzM36zQQEuBLvKhH3Awq93HfHizKJP lSsrvgzAQo9m0e/5ej1DQEdpZrM16AKmRk+CvZ8jfJ8j/G64uT16TVpZg+xk L6avN3L+f0+srS1W16i1WonFk3aukqfJl2ryUwqL0tpaK8aGu06N3/oO8RvA 1TnN4jDq6OhQqZVub69WtepueDmEM0hL833aQlEkG8MSkC3WNElCUlt70fLC wIKhd2ioPi07YXK8BUzjXR1luqZ8wBmaGtT62dHtrTVAHrY2V0wf1CLvDLsD s+ilJT1o/ZzcZLCbztOKBLIYWNu8oEQG+5HrbC/tbC9bmB8He8+372lWfpse 6enXNXc0/v465BWC+NAPc9cctMuSHvqif3ENc0Uhhsc6Do8OF5bnwK/4mXTA Q3SAEekKLnOk9pZiqMiNmtW1hQ8r6Z+uD9PqxtK0fmxtcyVTK2SICVIFGx3r CZgGISEQfk1KjUHRfdzwrzyJTn/G1yIgUa4kt4qWytlF/ccQJMBVmlsr+OmM aA7mutIaSJFsZLwkuqylalw/MTndrs2X0HgoUJ9kdrD5oO2aHCkhgJceOzp1 Ht1YViAPpoeGMhEb25DM5MQcNRjO7MHhcbQg/WfnoHu+vvcDXJ+Hef/k5sDP Sl2e7y2uURdWKqjCJHVl0+DEtOlbnxnOJsY7piZ0Bn3PFQt3MLhAxx4daVSp BG2txZBToNHGE+PKlynOyPRkfUdLs65ksK9xZWnm1AiZcy4tzszpIZ/Gl60V 3jVg3+DjcnHVZcHk9DD4f//g0C071O+2OEvUFdhn5i8vUa98YyZnFsyU+Ftu dCveADadaOzoBc33yDfoUbDbs1Cfe76eDwLcnyMgA/9nob73/T0xbAaBy+TI 1fqLw9O3/Ff80MepF9453mD/cG/KMN7QVlFdqSovzcrXSMAsAQhSWha7qCKn p695fn7qOzLB/qZwPQ6L0cwwh6YmHgd71TSX9HaXR7MxMZwIvvSNyRtfGiXP YjY2awyzXZmKRPBJV1cZvM8Fqa2lCNCk5qbCjrYyQBv29yBXvX+ux4JH74PV 7/JHvSMT10OLDg62F+RLKsuzi4tT07JZAhkUUa6yJsds5NI5NFBnPvzStLWU vOdh+vn5x/6AGqEe+KDvvyU7Qt14jXDDRxVWlcCehwEOjg6a28rSFazqmlxQ wMsEqbQ8rbEhDxR2f3/nPY/7AMBVtn+wNzDWDShBWZ06XhShKJYpiuXBVEcy OwRL97msvQNekbGeBGYANTEYkCXICuy97MgxAtJNgnSeMQ6qKrXFi8IHZRXK bGFdfjxkXXWVHUGK/WIKS0jEc/A4TjiFi5SrmAnSiMikUGIC5LH8TSkYfjiG b0RCAChabQtkfwrrxh8dHe3s7URLYjQ1WninCD8XFgfNGBa9SYyihtqw+AQH FM4OHfIkEFlQXYplx/SMDrUN9Jxn8tueNs/OTjbWZhbnB66HZ4U50vBQfYfZ 8l0PKVm1n55+ejuIy4DrtrSp7n6A26MgdydskDc5PCdPnKGW55cpB3prFxen DXNjg/1NRuPx8tLM6Ej7ofmE90tibKwnABsN6x1ZQq788hLz6DUBUkBCso+O Ienxt93yVpwDHqFgy+Mezqps7CTy4392cQ2LFARGR98LcAX98EGguwcZW9na eP23O7sHe/u7A8Od12/4gwEMTLBHbh/QKSsyuDnMaDEenxRCkxKSZdGxPLQo PU4DOFKe4PyITSsF14Sk0MySFKveEYzLK8hf/q0ZVa3NTriA7p4KnjSKwEBB ZsWQ7X9UcUUmN4WWLCYnmi3dUjKgUAgcMbm0Ih1SkDZA4S/bW4thOVJjfd7g gO6vPPzIdLYC0tnp5snJ4er6VpwkKyCKfXB0ZLro6sfHh21tVQUF8uIieU11 bl2Nsro6R5IWl5rFnJvpXJiDgmV0d5bDh18jw+07O1u7u1eDKZjNfiHSFcmT /Zed3y0P5F1v1ANf9H2f8xQSRR8eaYW/DC/Qk5N9pWWp3R3lLZeO2HTN+S1N +WWVWU1N+XP6EdOnHo+wuHjGMIGL983UCkmsYES0KzeNRhfiIRbBfItaWAQv ZrLkDzhGREKgB/m1LcbB7l2CIxu07ePQpw+CH1GE1P2Dj1rX4FKPTfSz+Pjr 1Aj0E8Cuk2UxlY3F88uGFK0gq5BXUJVaWpOelpXAFOIBKbJoH0UmIeK4aKYA nyylzs1PXdkbrmysrKxfFUjCl5AvFGgzdYxliVK1JZqqhqW1DRdcdEsPpKVg NJ58F5qcxuOD+bned0ZonZ3uGB9rtvgFAl19f2/99PQzWqPAlbywvOhDRT0K 9nwS4v0gyONluJ8d0i9bnbK8MNHXWw/2BTPTgwN9jQ21iuGhVsuv4Noenp4g 8ViyfNXy8tzezvqnHR2n5iG8srb+xI0ACNIdB0jp6IYt1s6X7BhAeeiCDcZH 9w1PfsInWvGlcLa9Cyl+HBkPNeWN/ljewvKKOxnNV2QExZEl6hyTOQQSmJj3 9nZaO2rHJvsLy7Q+WIGmtEKWEZOhyl9e3Tk5Ofrapfi0MNuhHx/KtQKqAINm BdIkxOTseECQ+AoWO4MWyUeTOWFUTpgki6nNl8IESaUSKJS8JDHZnfyKwA2D 5Uj/hqFp3555PkHxQd/rGu6iiejYeCRbQBamRAlSoksrMzM1YiYXb3FexzJr boNXbZEEzNhgAoelNzA/0TVpuzqrQB++lsM/gtF0tm46WzSZQIIsl4lJ0uCY pMOjY3PcCtgQ76C3t7m8LKOiPLOiLLOqIluaRgdsLb9ACh4KR2saGWo45zC6 wpqq3KamkusH0/DueHhyJjiKEUSNfeyH/sUl9I5n+G2PsJ+dgxXFRSdHW8dG 4/nptsk0NNyua9ReFhzBqaoqu6eramdn3QhtVD9xx7tYoeYAhUDFehBZQYSE wOuk6I8TRDz8o70gZezLTpCwDs4EVz9aQHpxRm1HrWHJcHR8tLC6MDAxAC4+ OJ/t3fWATicJiVfi4nFElAgm4jnyFU/Bzq9JLW/K1i+AXd5xdVMuQ4iL5CAA 2cNf2LKRWEEUdgguzrvcHNXlcpX+yy4Et+nh0ZHli9OGxYWV1T8ZG+5bwMnJ 8YJhALIJNRsaXBciXXzYubQ4vDA/sLkBhwv58NJdqZn19cX9N2G+TbDwNkHO v+Pn+iLM9znCBzAlZ1xwbZ2mDeyA6vK6OiraW0sa61WNdarVVcOZWbkR3NNo PtkaHB+67+/6u7cTjklubNDu721fmOR8suY4PtoXpIjvOGB/fo68aYv89SUq jEjVqLnkeCFXlmf61hyFW/GnYekkQ+OzJki7AHIOPzQ10TU8cHYR3xN0tkyl UCCLiedEPHPHeqFiUtJpmEgMKoohTKV397dOzy2DzdHXLMYng1k+YDyqaCnu H+/e3IHWx+JGrUvEcyfsY2f8U14qLUuRrFaL8jWSPPMRG+QfMoul0oir67Qt 3XXbOxtffBr8F4/7kvmBZx6jWRvZsDRbrSv5+AwcHhtrmks4QkJUIl5dmiHX SBIEVB7kYRLyWQdSaXlaRi6bzSfwpJFFJfKG+jzYtgtObS3FGrVweLjLdLHd +6O8m852TGcbZtnRwtnZytb2jLaquKK5SawsvOWO6B+dNL3t6WJOP6JrKmhu 1ILH1dUq6+pUbS1F4G1XR1lPV4X56VA2OtvL19cW3q8lDjYa+7srOYWFIVFx jiiqR0ScGz52festUgeYUn2jtrlBbWZ9+eBZsG42JCVr0BSXps4vTH58bV8H XOSWrtpYPjZRHhke4/anqdGbRGYFelHcbC8RJFuMPWBH8akMWb48KZtDElD8 YwN9Y/xJfPLa1jtCVPz5rHb2NHJTohMlkdwL4zWxLAYZFxjMCNLWZOzugVra gOSEpp2OwXJJehyLT5CkxfJSooisc9aHpnsBHtjd2/TOTLxHlcWiZ27Jz/dC ii7j8P9n7zu42si2Nf/VzJpZ8+579/btbrvtdjtjY5NzzsoJiSCSUEIJgQQI gSJKSIDIiJxzzkHknIM0p6qAxtjd7dzp7lXGpVKp6tSpE769z97fPt4DKOgq DPMdC23XAQiw/3bn6Sli+vvUJ724OAM1trO9DpSa3V0kPcfP1zTUWn8M90Wc QH6M8ItLI3e1W5qhnl4Kh3Aaertr7Pap07eiOA3VZT+Eer3AhN8PB78ijQ81 Oj+rXo+sFzQ02v77cQQqIVtnVOcWSDt7egb6G7e2lp1/m/imv55caaZv9Pcb +zDZ7O5WaYU6rziXA/R0SaJAQgvHE5OY8XnyJGo6KSmTxBJQaRnk1s4651/U bLK2tWKx6StbzD0jHXWNllxZmlYr0l6hI7VGoFTztCXZ0CqbRtjUWPZnHBI/ Xc7Oz2bmRocGmsAwNTrcdrC/U1uvVej4mxtQrsaPrhOEMmhqaoDBJ5Q1VLb0 dx0cbNY1aAEcYgmIuQWpWn12TZVSKksvUnFkxUxBbiKysnZtQQIjp1YrrKvT /9atjp3OFchwhGzO7e3dnQBKxj/cw+8GoO4HYbEMUWVzx+XDnp4MDjQN9NmQ kRm54/VNwUf4iNlWrxkf7/3NZ7zZ4/b3Nhbs9p39/Z29feTIz6c5Hasrcz3d NW3NJmtlUbaM3gSRIEF3HOirU+qFlY1G5xcDSJY6bUO7dWtnQ1CYSmVHkRjv C42I0KJVWGxqIJKj9uYGMNJz9IuHMY8fRD10wbx8hnIpbypHEpR8dGkdcDC4 rb2ak5t0FfCYmMbDoTOiphcveRLOzo5XN5er2ypU5aL+gerOjjJzab6kMD05 C4WYj1KyMD2D7Z9SaW/YUv9k7poO2II0NjPdsbTQD5ASzHr6SzCpa3GuZ2Nt +uKDo0SROrmsmWX79PHRwfRU39zs8MhwK+g4KyswoxfoEQf7pfXVGfnZUPTQ VYT1o+jA19gIIpPGzWN3t5d1tZf1dVdPTfQglz4+OSxrsGYWiGs7WjqH+sFv 78Gmp8fwr5J4dFOVfmN9YW11/vTk+NNfDdJcSyvbngXQNreggKbzN4My/iN/ Abm4oftc247A/s7uJi8nIZNHBOo5lDxUQsvIopJSKAAp8SAjNrTMkSUmEVLo W9sw1fbv+xifSRA/orfxXldnXVWNVq5gA1yErK/BNNo5JVpRW1vV5OTAysrC Vy7q8vL8yckvKkTgOYaHO78CN87oWHdNtaIFNnGUVco7Oqz1dRqg3PX31h8d 7X9cq0Dq/+j4IL+I2d596RF3fnbU0GQQ5dFb2it6uqsqrQqlileiywY4AQCk guLMthv+OWC/tkatVgv0+typqaGNjRXnu1xHdnc39/emTk+Wzk6XLi5WTk4W Dw7mHc6NDEn+N94xP4XifgzGfu8bi2dmI1y4Fxfne7tboyPt7a2Wjrayt9e8 ru8+ONA4Md69vbXq/C3o8vYk+s6zwa1XlmeApmzrrK6r144Nt4HCHx3uHRzs flFi0nNIoOuvrNsprAgY9rzD++idgWAUVmQA1fsF7pXbm77ZYAO46AXWFc8l 5OollsayjZ3bdoNfkF+rKlBFDU0Ws7X4Mq1qbmICK06kFa9vr+trtNmarIRs PCozBM8Jq+vQjU43bWyPrK8OpfGwscm+xMzQdAFubLQZTLMXF5tOx4HzbydQ ZR7sb25tLiwvDU+ON09NtiM0ibcW2uC/vQsQA0Dfp7ghHR1sd3VYAfjv7qqa muwDykWTTWdfmkKaAUPK9yTGPIjwBfAGgJxrFhrw8V64byQdX1GpqqrVlZjy BwaaR6YnFeUGXwrqfpi3Nyn2fpjPgwg/iPQ4JhihPn4Q6e+KCc9VCEeHW0D/ BQDJ+fl0CmRpGLkYYjz8UwHj/8iHybW7RYGSjWQOvVzNz6ExeDdDaKm5hRk9 A4NnZ39Nz2TEmRbeoEGgf6BVmpei04mR/GsGPRTvr1Ryp6YGv37BwN+mJssM FGr6jkRvB0f723tblZWqcZj45Uv0VuSauzvrzY2G9hYzsvpTVlFgayhpqC9B Yu17u2tmpvs/4u5XAOlwZOyy/IhBqau3sWcA8rs+PTmqqFAA/GOr19VUKcvL C8HtbkGU8rJCi0VmMkGO9PPzb6UMhvNGDQ93NNSr93cnHedLTuehud7qT6KH JaS7xsXfC7wMK3sURngcTjDXtxwdn5xfRrQ5DvZ34HC5235BiEEJHur1ba2l G+8deu+4Ib9U29cCkCfYPrRWP17gUi2vLSbxUISMEGT7dYxEyAhN5Mam5tAw 6cEBiQGuuJ+X2DzIEGQi8Sk9Y31bOx8TCXVTfzmHvU1unWCt0aYwYyRyRiQ9 VKKXVLboC83c+o6SwfHaeXv3zt7EweGM42LZ6VxzOlaGRxpKLNmxiT4NrSVA L7w4X3Q6lpyO9U+qsT+nXEUinFgshaAXr9ghfyTI9Wju0vsI7Lc0m0aHbdOT 7XMz7WurE+/fu5GWfXx8cLC3sbU2OzLaU1ySNzs9MDrSBvoRQEqgCwO1Aklb VtVc9yDcx4eCQWcmYTMTn77J1PcMNgr5x8cB4ARgjx8VA/DPf3m/YMlyuMX5 eE6qfzzqBTrscUwgkjYLnOyCCpUAdDRom5rqn50ZnJzosS9Nftaqu/z/5vMi msXFBYBjB6enR1/Up/0/8tUEafPDYz2ivBQ4SXHCjZCQ651EBg/X0lHtfNcE /RcTZNra3FwZGekqLy9Wq/n6ErE0P9VYIV9ft59A1tqv5nIA3WV7e72pqay7 u6G6WoOsLFy/AqQYg5N9KRLK9MxImUV+ZV64XFR1fia8hFwEaH83kQnEydP8 8yJXS6O+skb1iRwIb5cW0dA6O+sNhpz6Wk1pqRT2Rrj2PkL8c8yNDTqgKh4e 7u/tbb991fOztePjxdPT5ZqWGnQGh8IVkrlCDIPrhU/6xiv6hwD0jzfIG+9C mWTJUwvQoiFQB0CJTk+PZ2eGwF1ucTYCXFRTrZgY7zk42P0ClIBvIKhbfi9f WsBt2HkJFGYkI4eSJiLgYH7IX1xfY4QmZsUmcmNoWejI9OiXuFcwM6Q7QEo+ FJ9CXU5XV/3qup2TnzQ5Nwqa6HvW1cnp5RIGwn6/ublWVaU5ONi9KuDPU3xT W+XwWG9SLs0d/8xQI51Z6u4bq5uYax+eahqZsh0ezjodqwAjwTBp5/RkoaPH cn625ID80FadjsO/c2D22elpba1+aWl6dqZ3brp9brZvYrx1aaF3xT7Q0V5W VMTW68U9PfVHh1sfwcLa3VWTI+eL5Tw8gxyZjOvtrm6B16aBngV6U39v3fHB 9tjszKOogIw84cBof7Za9jg64DU24insg4Sgo0fRgQ+jAsBHF1QY2Pk+2MuH FJtdJGprLZuZ6ksWc8PpZHdCNDgNOj82+F6YLy2LPtRTCe7SWK8FXXVkuG1+ buTs7OSzxB2/3VgAbj85OQI4c2io4/Bwc2qibWGud3tzHsAkeMD+azju/k0F GWQ6e21MPpF3HRKS+0ZgCC8nvlDFXV1b+ruZE2dmRpRaodEi6+pt3D24HcH9 deTs7LS8vAhgJJMpf3FxGjn45rzpyMhP0FYXN9QZQQ91frFseuBekxO9zVCA Vell4PnPPtLmmhpldlH6ycnHr8v/CvYGt+5or1ap+AAjtTSXwv4/kD0HLgzk C2Sr1wCF9ADOpPlWEz07PJjd3h4/Opwdn+lVl5fm6TTZKiW/uCgtN8+PRL/j j7rrj7oXCMGkByFYAJB8CMlKS3X/2BhMl3Q5vnW0lzdBvtPmJpvBYimwmAu0 WpHZLNvf37ku5kc/+6+K4yuvaSMV2NJTJ5CnactlDe2VuLRAUmb4LVB0vbhG ZkVSeXgMI9KH7PkC+wqh1HYjeiRmEbIkdLmSo9UIE7PwkYmeRXrRb9/9Cvxw pAk5SubW7iZyHCgsxcXs2VmYMPBGwqBrATPR1u5GQ5d1eKypf6hhfqF3e2vc 6Vx3OjecjhVkc1ysHB/P7e7POhx7Z2cbjottsP3ll9hudogL2P3r/E3H8qOj w4YG/Yp9ZH1tbgFKvjw/0F9rKs0H44nRKFWrBcjI8z7aMXLZk5MTTpHUkxD1 KCrwxwj/x9FBbrhIU5m8t6O8pQnoF6aeTgjAlFYb3Qmxd0O9lYbClhazTJsX x6AB/PMgwh8AHrDdCfFyQYdH0CkBVCzASK9xUXwZ32ApYklYXsSoAo2UxKF7 EaJ+Ti0aEwzgli85Jl2cAdQogI7aWy293TU93TXIQvnmxmekBEfw+VFzs2Vt bbG1paypUbe6PIJwkoNtaXFgc31mcWHw5FJt/BtNnX8ZAX3FUqngiCjivCSR FAoJYQtp1Ix4gQSCRuBvGpcWhsPkF7N/75J+VUECtZyQK+DRdcTE1weHyB2n p4d0OrHVqqyvN5ZUKTpgwh/HJQcIVMiZpalEAbajo1ajEU5PDyO/PYSJ1Obn JxyfL7kkaC3d8MjW2nw7C4bNpquqLh4f7fhCEeidXXUV5fKJsa7+3gZbvbqv p7a9zQL+AsTS01U1PtoJijQzPfC2m8/p6fHp8ZLTuQPPlbswP+Tp5Gy/qsxk barlyYtCEzICKCnPIknf+sbe8Y+76x/3nW/s/3YJ9CclDY13LyzPHR4dgwq0 L02BG7XA2dBASVRqvl6Xs7n5235Hf0ZBGkxDu9VUrdzd24bNR29keqVxYqD8 HRDLYlBEcuDjuOdP4p67ET09YEJIV7ybO9FDIKUL81LByWkCHNgAyuLmJ5VW q3/dFgEDJEd9WwU4H5cWNL80fXx8OD0zUlmlVql4ZnNhZ2ftG6fD/K69o52G GnVWcYahSrY417MEE0TPzXSurg5sbo3CtqNVGCOtnp8vHR3NOZ0Adx3AkW57 TsdncOL948vbrL839KwL0E0uoLhUB/g7ONim1QpGYB48MID09TWvry8736+d Iy1HX2P9L6/nTxBG4quQNG4+W6IQJvFTwHABQI4nMfp5XPB3QZ7xWSlqQx4A Nj7kOBdU2A+h3j7kWA981HN0KLtAqDAWgeOPogMeRgV4EaPjucmvMOF3Q31+ ivR/jgp/jYt8iQ69Tg8BY6QggK/AaRDJKmTphRwAbHUaoFLZlyY/MRvRm7UH TxDHu+OjtunJNgAsJydakDXKayeupYXesZGGsbGe96y9/8gfTcBbLqvSdvc1 qIympEwKV0zjZtM8IklJTGp6VjwnG/I+Ap9srW1/w/d7cwD5HWP3QKeuqlKb THll5kK+PNWb/HxiFs4SfiNtVl2judQiA9NHRXnx2oZ9fHaElZfY1FJRrOSs LM/v727BKe8/3gB46cy/swEUQGiR64ZDznUcemuTsb+v/guZlO32OXD3YzAV dtf09tQeHOzubK+dn58eHu4f/GzDuV1mMCksLs1pDAWtHZUT0z3WpmpbZ8Pg RE+hUReRxIhMZgSQU17FxT8OJwCAFJ6YEUJL9yXSPbCJ7pgkT1yyGzrpWSQZ yckOZHZmqLFBu7GxBCArmKxnYCz6F+4XxyfHZ+dnvcPt2NQA2A07Ip4dRcqE QBFLQk3gxqLovmIFY2JuLLOQFZMZ9xz94kncMxfMSy+ydzTdP0NEyMpNpAAQ lRFMZECOTGAnnhlhriiGlY5frLfzi/N0MSk2yStdiAcwuMlmUKl5Go3AZJRC 6VO1orGx3snJQfD2kS4wOT+WLCZK9YLMgsSWztLlxf75ucuArJmpdvtSH0BE 52dLAB1dmpKcG/bVfmOtjCNPVFsLb976L2YkB48CusD+wdHxyaWWl6+usrX1 VNU3r67/Iu380dHB/v7ux1UF8qvZpUVJifyHEI9H0YGIT9F1bJorJjyYhvYm RgPIBDCPLwVlrlD6kGMeRPo/BifHemYVi8ur1RqjpLGp3GJVR9OJDyL94NQP QQBE3QvzBddEeABcUL6epOgXqHDww8fRiA9SMPgK7GMY8U2NEPlGZ3v5+Fj3 4sLE2trtyBoH4mX94bV6o6J2VlamlpeGF+ehxgax68Ow/DoeEOClmanW8fHu T7jJf+R3lu2dQ47E5BrG8AjHkVJImAQqhkZ8HYZjCmkpHFqWmKwxSH7vMv6t BQxx1Q0GjVqg0+XU1ukxzDCaCIdkWnc4Ea8kx9zSdKGCXV5RDCaRfCU7kY8q KGYVK7gQWYEhp67dCo7Pz09+tHkHGSr3djc7Wsvq69Q2mw7JC4a44iD7QEcD w9HZ2RekFd3eXp+dGfw5F/yNrybmFm8lCrka3h2kTPazMIxbHPlRKOZRKPZJ OO4VKt4Tm+iGpnoTkp5Hke74ox6EYF1j432JKRHJbDwzm8rLSxAUJItkydmF 1a1d47MLJ6ene7sbPV3VpydHADY0Npq7uuq/3JP+EQSpwNrWcnSKH0BHVE40 wEV0AZbMjGCIyYwcSn2b9eDw0oH85PSksrXK1tOordah0yISOFEJnJhMEURe TYaX58BfQkYIK4dMZUb0DSFMyOcwVdE7zJvNXdXx7OgiLben01peJivRZut1 YoM+V6/P0enExcXsmpqSW4WFynC8Ozv9RjQWnIYVimHf3ZlE/LRha9L62uYw MSsmSUyqbivfO9g5PD74i0EjRJAnShdq1GbbyMTc8PjM96+Iz/1xrsFkuUa/ sPDblOyILf2DaubyZMeFqtz4EhPx+AojXQemPYqC3IrcCdEAFCUK0oisBAB7 nsXBmAftG0IPCUoKSs+hUzgJDyK874V5Alx0fYVr96TH0UEuGPdsjaimTk/h JP4UFfgI5t9+CLaoAHA1V0xYEi+lr6vacStJ4udw5wN62cBA2/bW4uR48/RU 99LCG4xSNwkTwP7xEcKH+VdrXX8HQSyi2XLLt67Ylq7hl8G0u68xxrLiQAyL nEpiiZJZArJImri+8b4m1v/I5xUHRBV7xpAmyIqYupJssylfVyF3Jzw21Wmd NzDA3tF+dmG6ukRkNOUVFDPDkrxkCrZRL4E4CrQiEiuSI6HV1ejAqWcXZ8en Hx/3Ojrc1gw5/+hra5XtLeZiHV+Yn1RXq7Q1lNgadB1dVZ/dgnQ9oF2FlV1H gYGPZ6baxq6hsba+YQ9s8uHx8dW3l4NR39hUTWu3rqKCKeLQmKmBRKonmuwW R3oQjIFX01Df+8VBPkgB0M63PrHfeEf/0zPqfzwi/scj8p+ekd/6RPsSk4Op aYHxGXN2iD3g7Oz0er3yi0LB35Kv0RMR+4yiNJeRQ6awIuV6UXuvLUWI6xvu 6B5sHZ7suyzKjYa0v79dYTOypclEKEHJW/FuDCi+npQRYiqXwz/cg4LInKdQ mKHjcu3j5PR4wT7d3F2bp8kq0WVXVRYjkaRgA+ioplqJfKysVFmqlFPzY9fA BryapcWh2enOt5l8wCS1Yu8/O1l0OlYvLuwXFxs9I3UiDYevYKxtrcp0giJD NnL3tY3l3V8wSP7pBKmZtp5Rl+Dk1+GpbuF0l6CE+x7kB57ERz4UoTizrlbz S9y/nzjUI111Yn72pu3oGuFAhqN4tAchBjYZBf8UGXCJeWIA+PF/jnmJ52D9 qMH3Ih+/xL0Op0eFJGIeQvgnEEFHP0X6P40JeYUNccW5e1G88Cx0o81oqSop sShYedzQZIJfPPoVNhLc5VGUP5qZpKm0tPZ1TM1Pr62vHB9D7kBIFsj+8RFZ acnxjexC71mrTigktqvUJFlbmViCUg69o8ndICTv2NtFFuL/lISiX0f+sPWC jC5bO/v56krwcWpuWaqCdlbWd72j44u0ClY2q7m94eLik4jdPrBIf/FAuV+X d2qy2qqiZC4KoCOlMqux0ZKcQ/KPd13ZWL44P7fbZ5Fzyhr0uQVpKq0QzCPp IoKsmAV2tFoR0LvlSk6SAFOk4AwOtCkt+eYq1UeX7ez0uKe7pqurZnJ6oKu3 HkX3lZXw+gZbhodad3Y3P+MS/2/K2dnOxOzgd75xrAK1DyHFUA2tIZ6/aTIv Nle5xxFfxeBcYwgvogmPw3APQrD3g7E/BKLvBqDvB2GeRhJfo6gABfmT6D6E JE9cohcuEXx0x9CeRZFc46ge2MTx6eGT07M/ahf+4uUanRrY3F7P1/Jrms3g dkPjPddfXdOIIYP/+qqdm0slZoRwc+PxGcHkzHekb0vkxkI8jeyoxZU5AJAc F0tOx5HTsQ2wlRPmt2dJqABHJXCi5Gp2qSlPp89B0BHMRSY2GiXIPmjM6lLJ 4jLU+AEmBz3m/PxkZnZoZKQVRkS3p6rJiU4wql1cLIMe43Qe5eoYGGZ4gZ6v Ly8AzxWX7LNgn+nsbwK4ji2lSdWcpdV555skA386ubhwJLKL//kcSopxz534 oyfpXy7Y71/hv3XF332NjyGl+EbTijSqk+OPXE37ddne2w1LodwL83mOCrn2 EXoaA6EjN3w0jkV/GOl/DZkQy9Kz2JDo1Dgo/hEiY3djFqS0dVXMTHcmitLv hnr7kGI88JHP4kK8iTEULjUkKfgF9hVNSI5Oi4tOweAzqQm8lEg64QU67CUm 3AUV+jwu9FF00PfBXv/PywXgq2dxwe74SFIWY+8Q8snf3N5Izmb9H/cnIo38 A2ccqKJWVhYsFtn0VBtCFfUrAGl8DCJJ+w80eqc4rgyUv3dB3kuuXyKChXTl LRV13XsHRyenXzxQ8W8Oit6W65EZ4J+9vW37+hIqI0ijhRwwSk35YEh3JzzO UjLOTk/1BgmSCN7WXZOZTVKqeeC0IiW3WMnVX6neupJsRQm/WMNTq3hyBafU mFdeq5HphEewI/eHak8nJ0eIhnh+cd7WU7+7/3Zk/Sc/PnyjgfFpVr5q7+Dw 7Px8//DIWNs0vWBv6hkss7WNz8wBGOMaR4lN41O4kkdhOAKLf3AIPQ44Jy23 CFluk5dW+uLi/XHkAALVF0fxwVL8CdRAUqIPnuaOjn8ZQ3aJJj+JID6JIACY FEJLxzOzUnMkWXK5odqys7cGcBG47/n5H071OznZ+8pEK3Wt5ZOzI8g+4vZ/ M2ga6b+dfY2YFH8kxxmREUp806/7kk8SpgsgZASbymRwfJnd4dh0OrcOjxaF KubU4gQAYHXNFmtlka2+pKZaCTDSNaE9khLx0pqky6ltLlNZpANjkC8xeD2r q3P2hc71lf615X77Qs8N81G3fbG3s6uhuaMVcsl2blpshWEpXjqLtL+7vrnR UFOr4UtpouIMiYodleiBTvEPj381Otnv/NOOS0hz3T84+smb8u1L7J3XhPse xLuvoRSrSBp6sP37Je5fLni/KML09KdyuyG3A/V/dLXeenZ2miBie5HiXDGh KAYNgCLEffppbNAPoT5FBnmKMB3sXHNCPoPtSFF0QkxazEvsKwCQQukhS/M9 Y2MtEo2k2FiYqxD5x8eB67zEhAXR0G54/5e4V25Ej6colxdY14cxz74PfXYn 1AMJf3sMMwPQszPlunypUpyVz6m2lYtLFB6EGA9ibEgyuWuon5EvvBPs8Tgm OJiG6uupOz4+cH7ISHh6elJWVtzWWrq81P9LDOTzc93g27padXdPDbi2rbl8 +NJb+z+Jzm8LMlz/kZe5EW81eOj7eowrSIUcHOxarcrrfA3jcyMHV0kM/1aC 1PnS2sLM0pTzCqb29jbZbEBzd7LkKUwR0WzKVyi5ra1WsZZLyggdmxkeH+01 mwu2dzbSRARsepBCxQPQSFsikilYuqtpBZlZEP8NsIHJpbCYSWVFVMJpOn/z Xb/zhOu5Y3ZxcnMbynt+FSbz2ZiXpubtd/zinkdRolOy0BmCR2F41zjq935x LtGUAHLaP9zDX8TEM6TK+0GYb7yi8nRl4Eego0XRufn6MqRpjUzNlta18AuL MMmJaDo9LD7xx2As2ACgehyGfwizZ/8QgL7jj/rON/bf3jH/8oq+4x/3QyAq is7c3lk8PvkjBoDbl0YqKmV9/fUH+2vb2/atzfmTky/IJHlraeCdmAE5wVSl TMyKi2dHETPDErgxVFbU2xjpEillhmcI8Av2bgBXzs82nM6d6YVOf+ora0up pIRnrVY02wygoarVgpvo6LIll4jAptYImEJiRhZWq8/d3l7f2d1tau/o7m2t qK4oLTf39zct3cBI68v9M9MdvIK8ll5znoEdSHudmIUCGKyxoaSqUmExF9ga dBJZurJEmK/MLFCzm7tqD48OkAf7chX75QR5HX3D09+8wIENQUR33fB3XuOv ARLYB5DpGxdMGIGNo0sa2iBA+Ck+y92dlRPj3ciodXC4H5qIc8VFZRaI3Qkx PuSYV9gIAFruh/kki5hNTWY3bARAMj9CDNiQ97UbLuIFKjSIin4a64swsXuQ PLFslB/V31hV3NheGkANfBLriaApAKVc0J7uJI/nmJc0IamxzVxWqxQp2cGJ scgyHGKPcsOFA8SFZ1ITeSkVlYr+kR56Dvc1Nux+uO+jKH8AyZ7EXq76ybW5 J8f7zvee9Xp6GuHECtnl5YXzEMf4O4xIiOfbxvro8FC9pbLg4nyjul6ZxkH3 DtTAEbV/sfzvHyOQM//8+OHhfllTvT8VW9F06dL5Z+lyV54en7+8ty5rt88W FjIQl9fNnQ0SL2bOPuN8I4jsswWq/5EFmXp6RjpwrIijkyPk48nJUVmZ3Fqh NFapcJmhep1YoxWWGvNrm0rlCra4mFHZVKpUcEdHuo1VinCaGy8vCYn0Uan5 YBLRw3Do1hRzqYBXq2Zh5fE3vTSRnf3DPX1l0dbOxgWsASHFW1yeo3Jiltft 8MebJoVPajmIAW1lfauxa0BussIOQtEPQ/E/BKB+DMLcC0TDMAadIpa9RtG+ 8Y72wCbAHkGODEmxFz5lcGIGuc70gh3HFOMYvFBSfDSNFkggf+8bez8YA357 D9owAHS5RJNfxcV7YBO9CcnumISXsfGv0TQfAt2PRI9IYpK5uSliebbKeHoK WWzOr9rhraf7OgoFnE3GUd9k5oopap1gEQqZ6YDckud7T8++bKz6by42Ifw6 PUOtkEc3MyKvkJGcFUeA6ZJu5itBCJTiWZGoFD+mmLS/NwNbdXZaei14TlS2 mpMmpQ72N9VUK5sbDeVlhQZD7k2QDz4CnA/+ms35ANiYjNJSUwHoIJMTA8fH R+MTPUNDrUNDzdOTHUhg0fxs9+x0Z0dnvd5sOj6Za+jSv8Y9onCiS41ScMH6 Ok1FeSHoLzXVKqNBAnpET6e1u6MCoV7/9TZ889vP4vf7GQXOleOQqipeBFHC cEn3PQnfueL/5xn2Xy64b11/xkgwaiL84I6/4xqjMNRd/fDD5NId8Pyst7vG Vq9ZWBgHh7Z3t9zwUUJV4dhEf5aMF5VKuRfmG5FMKCktaG4qxWfS7ke4ueJ8 MJlUgJG8idGvsZEQsIkGcCXwJdYbAKRXeLcXWFdfqq8fzc+D5CVWsyvqS1xQ oT9BC3PBLzDeACA9Q79IzKZMTLR29dY2tlXg2Ul3Qr3BdR5fpXIDF38Q6f9P v9fpuRy6iOGKjYxKJd/kBECcvdWGvN0t+3sOWdCAbJFbLPKGhpKJsWaAgq4B EgBL46NNS/M9UHT/aCP42D9QU9OgEkgSC1VMpY4PdrLz6Rsbw6Pjn5QE8C8j BUqOxpATkUL6PsgDYFpjffXmzvYfpRf9AaS1z9bYWz83M1pQkL4wP3FwdBCT HhCV6rcPW5D+1A4AHydID2XkX0YfIw7Pre3VAEBWVWtpQqykMMOoz0XUapVW mC9nhCZ5Fiq5VVbVxMwwjhEizEtGEqPAina2XMERF6QZ9DnXSeUQXw6tRlha mr+3t+X81YEdeQUzCxOiYoaoOCOS5i4oTEW+gifEU1ERvbnTenC4ozZJy+us 52cHR/v2z6QEXMCq1qlYpfnWJ/ZhGP5+EAahvP4pBEqaFp3CiUxmf+cbC75V mA3zS3PWxhqXaEp0alaquAB+LqDJHgyMjbb1D1Y1N7EkYoFchk7nfOcT++CK OhvsPAzFAZj0JJzwLIrkgUkMpKSFJGT6k9P9SOle+FR0hkBeWlloskJuSD9P iJdFPDvbczq+hrUTgaONLRUmS35zWyVXHM/PTezsqli1Dywv9dsXeg/2Vr5C MX61hFClrG0upwrxOQpme0cN+cbKGrToBlmTQsEOM5tMyAihcqKkqoz5xe7t 3Tmnc31ze9S+OiAzCUOTvQxleTB0kVvM+dce2ghAMpkAIsozGiX6y+w/WWZz QXNzxebWKkA1fQMd87Odq/b+pcskYt0z052TEx2NzZXGisrxmYGYjABUemBB Mev6auAWACAZDbk6vbhEJy6zyEpLJZ2d1R/01M4/GEZC1Mn2zoaiYo7OyPOM xP/LBYtJSI6jUh/7Em6gI+L/fYQKxVCX7ZMOx8cXftk+MzXZN9hva6hTzc5C 3BcTs9OPYoLUFpW5vChZxHiOCn2BCTLVGOnZZFwm/iXOxwXzUlte2NBaDlCT oJD7MNr7h1AfCNVEBT2N83YjQtlq3IkQ4yiASTVN+v3Nyc3VEZog7QU6/AUq +BX+51TIflQ/bXmRtd6ITo/3IEQ9R4U8jwtB4v2RDYCuJ7HBkSlkb1IMkrXt 5vYoOgjHIE+9N2XHxcXZ7u7W7u7a1GT7Iky3dY2O7It9XR3l3V0VADIBgDQw UNPSYmILybwcGkdEgZKcSpPAR1O5VJCb0NxedSOa5O8lSD0v2mez85LTsvCu mLCnsSHgTd0J9kiVCsBXh0dHfweTyC+J3T63vAL5QObq+AUmcVdnXXExe3dn Y9Y+7UtxwXMiT05PkMUapJZml6YAlHL+eYxvHy3I2vTCylx0esDyhh1pSC29 9VJZerlZnq3ITM0mlhovvTLUkD92bmYOhcKN1peIm1vKSVnRqQKcUS9BliEA UpLKGXFpgWAK0Omup5i8JpseQCa1RrACv4VfHxZW1+2MHHJcsjchIxibGtA1 2LK4PDezAOU2KquzPo8KKzQYG5r1fgTSXX8UNj2zsETBzi+iZEn7xiZ/8+K/ KI7Ti/M1MG92D7V+5xvzb++Y61QgYPveL+5VHJXAEt4NQH3jFU1g8riFcg8s zQNDi0njeROS1jbBnOuEHbYvRqf68cyslOwcH3xCcHyqFy7xLmyGQi4F25HQ 3/vFAqD1T8/If7iF3QtCZRXKtNbSAr0mq7DQUNVws1ztAyOIS+HCwsTu7uLx 0czhwcz5+cHOzvbZ2QEM6r5Ivz45OVxdmezpb07joLXGXFEenZsdDxTShkZt Q2OJtUpeWi6bmRt3/q5uM8i7Hp8ZnrfPzCxO4tODUgQYiPuIFQk2viSBxokW 5SWr1YJ0Pk5lACPhxsWFff9gCmJxdEKv+/hkSWPNDkx4rdDwdCWQsfT2+hrc 8pG/On1OZaWqs7O2r6/54ACCqYeHu3MzHQAUIU7aYM5aXuxtbasdn+gDVTg8 2S9SZHqTnwvz6aBr3FQZrhfyQE+BNq2ov7+lra1qaKjj7fqEDSbnO7tbS6tQ Phqg1s0sQRZLxKPv95Xr7nZ4dKAx5prL84yWnLSsDFJqQpE6Q6ZIwSdSv3kB Lbd964r/wQ0bjk+31jZ+9O1OT493djbm50aGBpr6eusbG7RDQy37u2tljbX/ 8H6Rlp3OyMn8b99XYO57hfPzIHv5Uf0JXPwT1PM8nWB7fSy/JG9yoh3HxMYy YhhSzsMo/xeocG9K6CvCZTq/F9hX0RlRk5Ntw8MNoJ1X12h5cqYvNeAV/vIE 73ifgIQAblG63JCdLk4JpKLccBEv0aEPIv1hnqXAxzGB7kS/1/jwH8J8XqDD 3rQdQa5KQTQMgUkzW5XbWyvvN1hB52xtzs3NXBJKIDAJdnXr6+2pUip5He1l aytDtsYSMMbmFqRliak3c3iBDXTeIg3/9PTvuNCGwMLl1QWguQtzqfFMwuPo oCexkK8+eCOumHAMK6XApPu9i/lV5eT0+BROhbMwP7azvW61Kvv6m8FxsZZL 5EYXq7IMhlwAhrqH2zwIj1Nyybd+brbpmQVJzj+MgvZFBXlGmSmHW5SGHNk9 2JWpsnTa7BJDLoUfV/KmTm00SonsyNzCdIMuR1oIxkCW9ua3+lxCZlhmNslk kF5PLgAgVVcpFQpuc3M5cs9fKY9CJ8KmBFA50bi0QKE8HQy8iVlxda0Va5sr ZdXqAFIawBWBFPo9GG984x1zLxADkNL/dglMEctPTs8+KkLhBMkK4XSsLa/N dQwM84uL7kEZ0wCewTwMxT8Kw8eksJ5GkmB/JHJWofxxOOGnUFxYQqY7JtHW Ca3VXjN7bu3sNPd0W5tai0rLEHPTNTp6EIyFthCcOzrhNZpG40lovPyYVF6h qfxmaRAHwtHpeU15jTua1tY/VNPcQmenHIGZ3bG+uzPpOLOD+tzdmYD4mR1r cIISJ4yUPlt0w+nZqUzFHhpukSk5nGwKMt4iGAnsMAWkdA56aLTT+cUSzbyn XPfQ6mYzQ4zLVzNJjPDMHCJASmqtgMKMKJBn2upLNtdHTo7nr2gbYXoix/IF FF+2tbk9Gp3hnyLA6fU571wdhgw+Rom1Qm6xyCxmmULDr7D97Ep3sL8+Mtox M9WxCK90rK8MjI42b26ugVqRFjNJrAgyKxJMWzcNU7c28BUYjkDvUKv5ra2V N2cxiHEa5tXf39+RyNKTs/Dr2xuDU0P+CQFtgx00cWJLX8vv7g9wdn7W2llT oGDxc2klJjFfkphTkJydl5Cdnwp2UtgZ9z1I377EA5hETGZOT0FcDR9VYEiB 3dlZHxhoXJgfb2kytLdaECa0ns5KCj/jn36vuXlsujDtfrifCyoETIJP4zwB RnIneQJg0ztQU99ipItpSovEi+zd3V+1uzGWr5XkqUSRaRFQwhqihxvB4xX+ tSfZK5YRXd2obe+wWGuUcZnRr4mX5iM3gvtL7CsXrCuGFYdmxfnRgh5G+j2K DnyNi4hJJRKY8f7xUU9iX/vR/MvrzeGJuGsPJYR84AUqVKGT1NRqhgdsC/Oj 3Z1V6+uLzt+eZaAZ/uhwGwrwh/hIu+yL/ctLQ7PT7aC9zUy1A93TZJJOT7ZO TrTk5KfcxEVgAx0WbFni+IWlmfe4119QzuFlkcnpYUlhBlsUT2bg3HFhj6Iv ExPfD/eNSqXMzE+ubaxc57D4Cwuif2kt+R19kJ7S31e/tDQFhr7p6SHwkZ5L jknzV6p4FRUK8LGyxfw87o6khN/a39gLj/Z2++zh4b6pTGaqUTl/V+34a4pE x8st4QPo2AtH6ADp6GsqkDPMpvzUbGKRTgh7Il2iHaAL5ynZtCyUUZ97a6gH OrLJIBHmJ0en+oEzdVA4G/TDivLC1mYTGP+Hhzvhy/9aJ11bt8tLBPj0IAIj hCEmZ+UnYdMCAGATyFKGh+vCE9K/g6mELiFHCPbHy3Ur/L0gtKW2BjYDfugg cOR07EI51h1gxtwG47fWWvpPz2hw8XuB6BBq2sNQHLwPmZLieUJ3DO2OX5wb OsGPlErji5ZXp+Bh5+2mckQX5fwIlw0p7dNIIji/xFq5ub18cXHt53x+cXF0 fn56fg6RBoDCn59fzC0tdw2Nu6Pio6gJwZQUiaLwcQhqabEXIKKz0yWrraql s3p7c+TiYtUByuzYcDpOnY59p2PzAx/8tiDjJzJ/VdUbJIWp+UWZABfdHHIB WAIqqsGSDxND/f5yDirO4Wjvs7X31fZ118iL2epSYYGWOTJh4+cnlpryJmda z8+XEFx0azs/W7q42CowcV6gf+RLE2XFrFtIBrT2sjJZXa26vlZTVlZUW2fo 7rFdkVVeNrOd7aWlhf752c65mY5ktrCuuRV8NTjarVLzlWo+Eqfw6+jICDs+ DQy0XT+U44qFXmuUWCpVtm5bhiieKSCkiBMSRDQXjKsHyeM5yqW5D0oD9HsB JFBCMFp2dNeDgoFZWChNys6jQ0BaTOVmU8FH0FS6uss4ItbzACw1g34O5Rb5 yEHVAT/j7s4GGNJhhvmS9pbSlmZjb1clXZgOoMi9cD9RIY/EhkkgIe6jwEBa rBfFyxXn5op3C0sJ86P6eVG8H8U+ZeTTt9dGx8YaW5sNMi0PoB0vshe0xAZD KWIW1tZeujTf0zdQrS6TRqVHIegIBkgenmRvbXn++srQ1tpIY2s5vKAWBPCY Gy48gBbgSfYEtwhKDGZIaMU66ffBXtc8k8hpears7vaylibj0GDT6srcB7GU nBzvH+5v7u9vLM737u4sr68Oj440zM10Wq1FCkVWubUQHDGYJSwB6dp8hJiS wKsRF6Rt72w6/5YACZG5xSm+lO6ODYWsfNFvmPW8SdEBlGh3fFRLPxS39Vdd awOaF6J8dXXVq9Q8W5t1cKyzt6d2dKxHpeK3t5YXmsR+VNcEHkqj5jfBpgxl RcHTmO811iKhmmWGtUKzWba0NK1QZdW0WGAqpt9hCvj6sYfJOaSwZK9cHT8h Gw/0QUhhOTnUGnMBLsrOT1Fa8srLi+UKjg7Wr7VaIZh0eAXJ+fJMiPjoTV0b YCSghsek+jPFlFJjHpgjEKTU1VnV22tbWJhy/nInvVTJD/ZS+Bh8ejCZCTEh Y9MC0/hYOhcF8NLgUF08R/Cdb+xPIdibS2CIs9C3PjGsvDygc39k3Tm2Ls7t Dsf6wFgnTEkU/41XNDqD44VLBHgMXB+gIz8SPYSW9q1P7IMQXDCV8SSC+CqO kiiUQVr8+fplMLrToamoexJB8sIne+FoD4JB2S59ma5W2SCrFJ7Jq26t6xps XVkbg8PPr/ESNIlQ+flKSxVDWuyPI7hEEVK4GWEUGj079+RkAcwSmXn5JK7I 6Vw+hagIr6f7dTi3xXv17l93BnZCKZ8OFVohS0gEY+zbOimDh2tpt/76db6i QPU+a587Oj4+OVpfWOonMCMstTKAXPpGq2pbNJNzbds7Y1BqvOu6ukyUtgxq /uzMrq+R0oQo//iX/lRXvjTJoJdcL4EB9FJammcySoGS3thk0RhzRQrG8WUy 0Mu7g3+bG3OrK8Nac5Wo0LK4vAGOzMxPKOH0eb8EjRB1o9JaVGaRabXZKhVv dvY20fTwaDfQ/TN5OK40mc4jgMpP4+FYAiImPZKUGZPCJ6mM0tHxvq9c3T8/ ucNRYpIy+aBgCYhp8e3WojGKsvOTeeJ4ALatNSXTl8l/P6bZnB7vW2qMGWJG X3c1ULgaGnRNjYbmJpMfJfanqIDHMUF4ZoIXIQritY4NfhDhj2FQ/GlBL3Gv EcvPK7wbQC/PMS9JWbjx8RZrvbK5zQh2EkVkADhd8a+folwexjy11CnsCz0s CYWUGRqS4ONN8QI/BJsb0eM5+iU4rUAvHB1tBGC4pFxxP9z3SUwwmHBfYN3B jVxxkAEKzcTEc+PbWstSxByA1h5GQiFsj6ICPfCRAhm3vdUMmb/aynq6qqYm ej9iOj4+3oNB5v7O9sTyUm93d0VBYaZImmytlMsULKDOIAAJvAtRHl2Ul8zP obV3131Ehf/ZBWlmQ1PjODbdPx71PDbolj/Y5RYdFJpMbO5pmV2Y+rNQJH2I QHDi5OS4s7O2s7NucXECDDWlpnyRIjOBEyOQp1ZWKjQaAWiuWFa4B+kpQ0zW qgV9/ZDmJVAxXeLuGmrVIjW7a7jtcH/XbJHZl2byZBkNnVXwtX/nZ/vSgnTP xu7aF6h7mbKkeAHa3HC5Gts/0lms4JZoRXJ1VkWFslDBvhUBrdIIbg/4+hyu hGbSSyTyDGxmCMCZOYpMdYlQpcx6nzQZl263G8uFJdDiyFUCd8jhlgx53kbU NympXOY3XjEP3gJID4Kx//aJYecVfKxPDsA16xcXdjDXdQy0AQTyMAxfWlch VChcYsge2IQ7fnGPwwkhtPR7EOUjyhuf/DKWCqAaQD5T80sw6yDs5w83mN39 g8GJmeaegZrWrpLKhgBK+h0/yE/7W9/YyGSGUKlIFUsBQEJncP3J6Xk6o/MG g9n+wU5zT1vf6JgnNpEn4blE4UMpCU8j8IS0lP/2iKxpqQGXX92YeBSG7x3p gJLhIhP95bbiuDj7oNnnmicB7AD9Yv8ASpi1sbVSVlnMFpJuejIgcx8yD8qU rJGRlt/d4ROuMeh1n56f4zJja+oNYF9TpY7NCDbUyHf2xpbXZ2SlotK6/IuL 1dPTRQQanZ8tbW6MrK0Mba6PjIz1JnGy7av9HYMWGh+XJMJRuTEADv1Mf6TP AQCptlpVXam0Vij6+prXNlfeOanBQQQ/V8jmxgqUdqfkNmkAHNH5s00JsS8p lVm9vU1nZ2fXytH2zsb84pTeUgjgB2SKyaGBLQs23/FzIAse9/J1JHX22Jy/ B1JF7qi3yIRwqNTb0AgcYQvJLNhnGMzaDB4BaFtz8+MfUVpw/v7e9mBvbUZ2 +vO4ELogtb/Lmi7OiE4hRtIJT2OCXuMin6NCAUx6dJUi7afIgIhk3Gtc+HO0 12u8uxvsgI14WQcmBgQnBRWZxGv2wXwN05/iSWBFozJjuPLMqPSIyPTI0bEm kZwOVDMSIywtmxzDiAE/f4F1ZeQlqyzSkoqChmZdmVVWVqkkc+kPo/xfYnyR i78iuHtTvJ+inj9He6Iz4hsaS4uNxe6EmEdRUOpbLCN+oKsSQLuWJmNXh3Vy otcO86t8UE28uX+xu7s4PdUmlWeAGmYJSWzYNzsLrn+OKB5UuMYgzCtifeBd /lJCFbFdUKEv0aFI23jDKwxa9wwJoaFR6USGIL6nB0pL/bsPa59XkL7W3d1Q XMypq9XUVCu1GqFGly3RcHPyU1l5CWVmmRoApHZrVHoAU0wpUnE1av7S4jT4 VZKY6Ib7ydxoyFdz+/tbJicHqqrU01NDgtyE9oHmvrGu3yW6bXtva3dv2/lV TEmwA8M5uF2GlIZKC8hSZGTmUFZWFlZXF0rNBVodPICXQJH7Wr1YoebdZDrS 3UJHGmFpmdxcVSRXcCoshey8BLaYklOUWVDCBxXe39fsfI+B8RKwdVbH0X2g 7O1XcUnEzDAKMzyeFekag3ocTrwXhH7bgvS9X1yyQHhysos82QdWxBEMMFYv zgDa2Y5JYdH42ROz/a5xFCKbj3hWe2ASHobi7vijnkeR3TEJ4Mi3PjFKSw34 9YJ9kJknfzsjasfACCpd+CiM8COUagTFLSx0QC5DB5DJyLkOTdbn2+fnuzd/ ApqcG5oyOjWcnF2Ip9MiqYl+uPgnYfiX0cSXUbjI5MzTU1DCnQxJXlwaW2kx NXU3Ohx7F+c74Gpw2q/fzupyfHy0B6e3uLXYYV+el6t5JydH1toSloCQK0tD Zj0EJoFpGkFHYEepzdrenP2wGv5i0txtU5YWpPIJ0mJW10iPf0Jgc29jvkGw vQsZZDhFmTIT5/h4cXVjCIJ+2+Nbm2OX+T0h2uG24aHmto66tp6uw6Mtbl6S VJYOmX2uAEyltaitpbS9zaw1ZvMLUxZgJu1fqd5zKFMhZEUcHGxXq/nvtBqZ S/P0N/i69fpccGZTU5nzRpdfXl0oUHBylFmsN2HqTTteJg/f1dfk/J0WBZBy Ts309/RbcwpSb63DgpYDUJO1qgj8BY9QqGSVWQv39nd/87LvlKPD3aZGQ2Qy HqCgR3ButdhUki85Fkk4C7CHXzzmJSYcSSD7GPItCX6BhubE53FQDL4L2u/a DdudCEXrxzKi7Qt9KqMgkuYZz46gMCM9MJjKhvqaJs39qEcqc65AloRLD45n hb+OC82UysrqFABZ2dpMi3NdAwPVAJMMDtSliONJWThPks9rgps70fM5+gWZ h5+d6Sg0ZAM0dT/C/TUmnMRORDES/akYUGZQYIOlqKezqrW5tMlW0tJkGOy3 bW0uf/QbcMJEHEaLlJ8LVXiOLBUgpSxxPOx0RM2VJUsKU2tqVQo1Zwcmjvu4 2QRR3ZzOn0kL/0QC+yw4qlptT2KgfHlvAyQPfJgfKcITF8YtFKqsps4hhK/1 T/aYvylWqwoMMrYGXVVlMZipVRqBWpfNzaFyCxItpfkqDb+2yZCWTdTBTgVQ qm5LPpiJ0JmhPpQXNe3WgmLW2GhPV1d9mbW4p8cmzEsuMIkD4l0H4fRPX4eG FApiPzupbDYzBISKKvXJyfH18S963+Pjw7pavamiWCJLx7Ej8uSZ1ZXqujoD 0Gqv9VzE9UhfmgeFp5UAyPRzGM61HQlShNV8AETLymUqFa+sojBJgKHz0NZG Y7GG3wtnC/31Z0Ga5dHRAUNMxqUHXVPZXG6MUAIjtBRobWz+v72jkcD5HyFo dAWTgjHf+8UMjY9/TKVBmbk2LyCAYTfUlD0Ox+/szmIyuDS+yDU2HkCvR6H4 p5FEiOkxCPsqjvojnD3kQTBmfROMPEcxqZmZeSqH4/DiAk5ZDhO8AGnuGeTI ZDEpzHuBmH95RoFLAYRjrq+6cOxDkMaxC5mAINMT9OD7h0cD49NgR26yxKUx lSa1SwSGzmU+jcQHEKl3/dHeGDJ46kKjjpknm5jpex5FCqamRtEzAeJq7Oxl SPOh5Lq7Wzt7v8g2idTwzNy4skSIWLs2dzaF6jwsO21tE1oY0plyc2XpuYXp Ci1/bqa7o6OMJSBysylgjisxiRsaS8AOAEjVderDw4+c7D6LIEACAPuKai3Q mulcDDeHlpKFTcjCM7Ljx6aGjbXy87NFh+M8VUJr7jWNTjctrw2cHC/MzXYu vJkWZHdrWK3XlUOJY87ml2ZM5gKVmg8aMNLmK8rlHa2WxgYdmREGWvL+4fum yejsrFUouEajxGSUII5GSIA/YpUymaTI9RVKrryYPTjQtrAwdTNy//BwXyrP 5OXcNsv8DJByoYXOpjbr7+ikDTuh7W1tjSCOLtdADuwwBcSKKvna8lCxOitb Qm9uNuxsTn+Exoecv7G5SmBSH0T4P4mGyLGfxgTBIWMBSHD9T5H+EXQyAEjX 5qPncSGu8EeI5hpmKPIk+yMYCQAkF6xrvIA4M93R1mlm5pIR7qzXsb7a8vKd neX2wc7ltcXErDhsmj82LcIHj+7u7yytLrwbdr+9x6opFcUkeaeJCOzCNCwb BbDW60vo5fEK7xacFFRl022ujOgri15ifSHPqDBfUDx3AuTiAvaDaZjONvPI UOvwUEuTTddo07W1mLdh9PLhlQ/VzOraEkdEgYP64/OLM/sHKkV5yTmyNJ44 ns5mJrPoRhOfI+AICwyfqG5/hfQWHydI8vR3sl4g6v/QWJ8nIeqHMJ+Hb1mQ YMewYBdUCNhAc4oXMKcX552fQEDxB5SL87PxsS5kgm5tNgHtDJq7tSKLMS9d SEgV4c0GqbFUUlGjQtyMdbocMCJRBZiF1flwundwont9R5W2JHt2drSqSm0s L2xoMDLF5FC6dwD1VR/stPwVABIyxK1treIYIRwhGSL4yqObyuVgZHB+SUAL 7ru5tV5hVUoK0kAlpAkJCdxYk0FqgHntbmxiMLZXVmmMpnwthJGygaqSX8Q0 GSRZuTQkCxuU9FzJZeUltrVXqDUCi0VW3VBiazKBu/QOdwyO9/zmgyCVUN1s jk3yorAib6AjaASjMCNQdP9aWxEnX/Zf7lGQe3YwBk7/inoUhnsSQfjGKyqE lgngwccNBefnm7PTLb0DtqdRZFtHvdO51TvcHpaQ8W/vyxU91xgywEVPwgkI Ifa/vCKz5Oqj4x0sgx0Yn3p+vuF0bNz0W4aLAD6ugrI9iyKR2PzYVJYvMamy qQZ+WOeNM+FA/uW151HkxZXV09NDcMf0nJwkgeiufxy4tT+B+jgMBx7zjl8c gFve+KSGjgZ+UdE3XtE/heIyJFI/Iv1fXlFj02PmusankSRDza9FUp+fn0vk zJp6XddAO4lDK6tRAN32NS6KxGdV28z8nHguHLZWoGC1d9V0dtdX1ihzZam1 dcoV+3BBMVsoSZib/W3Czy8qSJestZnS2Ch4ak7k59BYIgoASyJJIl1E46uY FxdrQOdIFpMGJ+qmFjqWlwcWoBwNb7AQz892LS30DAw0j422jE9CmU02dzZ2 97YGB9v1AL0oOHC+WpVSnQVUqqub//ZTb+1slJUXa7VCq7WoudFQaQX7otpq ValJqoPzFVrMBUaDRCpLb2wp5+cndw9c+lojLOJAKmpKfsl2dAVCEpkCgqm8 6EOr7jO+Nbik5xsbU2B2lqs5ADlzs+PBZJ2TlyKVZdTWq+0LfUaTBAwdXZ0V 66tDjosPpvBCxgS52fCvgNcuqNBnV7lCYOfny6Qhd0O9WHk8EjsJIBBw5G6o 9wt0aCQd/yjazxUT9mO4H5GTlCAiAzDjTvQEMOYl7tWj2KdBiUHl9aoCDTMq wTNViE4W8lv7R6/v297XWNVk6BkZN9dBr2ZgYlCkEZqrCtkSCj4jGJMW6EFw g7ybrlbuwOZF8fal+nHlmdISaWm1NigBA3kfxV3ybP8UFQC2l+iwqsbKs5MD 8Fyrq3M72+vHRwdnHxV9j7xHW0uFXM1T6vhhOLx7GAVNZQglqfnFqfmKjMe+ +PseWGxC0l03nHcs8yPeO/IT+/IcaI3S4oLZhfWewQ9dE/yC8utPhHy7u7uO SUE9jQmMoBODqTHP3nJDehQNOc/7EMOzinLf57J/Ljk8Pqys19bVqmGWEnFl ZTHsNiyC6HcM0nhuTBIPDQBSTlEGAEgqFR9M9GBcys6np+ZSWtuq8IzQiFTf 6maL0Sidnx8H3xYZsi2WQjIzgsCN5hanFyjY29vrX1pHQwyY9rXFmmYLS0S+ tFHnUDO4GLU+p62zFkkJ/Xlf3KVqtrGsKxHL4Vwhep1YqRHw8+ngyNsJFzRa obm0oLnVqlYLzOVFkSk+ZFZkTYUyR8UCYKbUKEV4kKJT/FQWSWO9rljBmZsd Gx5sen/9CFnKnJ4fzxCTCBnBiAWJyAhFaG3APhia0kUkX0K8SxSADdg7/mh3 dIIHhiqQyx6E4B+FYqfm5j66onZ3t1qaja3d9QqzAV7/2iw06v7tHf0ymnjH H/UqluQSRfwBiv3HIit6//aJae7uTuDn/p+XoWPTfQDe3ghMu5Tzi+PT020w QwSQU7a2p6GofOcKZDJ6C3IjzoEEVk6KWFLZVPutT8wrFBWdwf3ON/ZeIPpZ JMEDTQHPC/afRhJR6Zy4NDZbJvsfDwgogpLcDUAB7BRAyXCJpiRny5q6B96u BMeVgH1LjSmNg0rnkykMVE9XWUNbxU8Rfv/yd0vLYRSr2ABmZImpHBhvgOE3 pyBVpRMuLgycne519TXV2j5VG/0ssrO7ddNqwYO9dMBfkTQZnxHtl+B3fLJ6 cnqSkI2bW+roGamdnPzFFJ8QI/FYe2Nz5cH+z+sdKyvzXV31oBnnF2TUNUHJ d97nqS+x7tJ0fiEDqGntrZaejorOtjKAiMosBbYGbUW5XAvziZWZZZlCgr6y aM4+Pbc0ffPKewe7nGwytFaSm/hLGAkc54jIlbUlH/QukKiT07OTazKBT3yP yN3VhlxLZf78Yh8A0jmy1CIlu7OzvK3DbF/sAxARDCaDA3VTE62HB7Mf6iKI DLzc4vyn0QFg+yHU6+llFtqg66xq98J8ivQydh7n+2B33/iIDCknNo3MK2B6 kn26+6rrms3WKjVPlkbhExBfa7BT02wITgogZJHGpgfZUpqyVHL9LIhF4s1n vNzhyehAd4MT/EUn8LEAIEGhbUQPd8hD6dXTOJcncc8NVYUAbAfR0FBak6ss JADasfK4fvHobwM93Akxw1MTn1LnN+XoCOLCamxr+eezmG9dCf94ignFUlPZ tGhKyg/uxG9f4v/9Ev/dK9yd1/iBkRnne+d2uawJuDYqa/XJmZG83DRWtjCB VQhh4g/nP/+8cv0MoITWFtviin3JPmNfW2np63a+1aRn5idX11d6BjteY24v sT1F3JBi/VUGqfNG6OhfRoAunMxHZ+VSS035YAbXaN9gb8ZlhmZJEoz6XImc YSotQCZ9gz5HUghZPwy6HDDFR6b7AxBuMuVPTPQrlVkKrQBArJhUP1FhWr6K IytmHR58WeJiBB2tbi7zpUkMHo6f8/N4iPBXgGF/bKL/S9zZCfGr7IJnV2sE as0lRZ7JlIc4jgKYdCseWaXidXU3lJUX2ZosrKIUL9IzjjRhZd2ekkvOLUgF iFRSmB6R7BXHCG5tKy/RCltaK5cWJxbmx66dad+jNqBS6SrkKDqUPwJJG5HM RZEhpBRGYYURM4Px6aE++JhHYZjHYSgKK95SKZua7ErP5g6OQUwOnxKG4HDu Hh1OQ0nYHZvdgy3f+6N8sJSHoTiAT7xx8XdhZiTYIRzzrW9seCKDmVf4f11D i0wGiBzgrRB7x+Ua1k51S9OjMEKiIMfp3HJAftTLUFT+m4JMBKPTcz+FYH0J yd/7xSE+TggeuxeIcUNRHkJGM8jVKig+1Q1Di0hiQOQG0EofFsn49p1vDIEl Pjs7c/7yxOeA5sczXpGEI6YJchPIDExuYfrifE++io9NjUvjkfm50OQrlCYh szBbSAI7o6NNt4r6uwjSWUB3MFuLge7AFpHfxg/goVgiihfFa3ljHhQ1IRu9 szduqVMvzvUvzL07yyeSymptuZ/OybW1D4JxEkmODKS9p6G2Tr+ysnB99/eR o8P9qpqS0vJChYpTqGRVVRdXWosrKooqrQrQv0pL8zXwwrRClZUqwJ5dsa+c nZ+NzgyBu4AjjW1WniQpU0BgisjCN3EgeECgPWWJaelZuNlFSKN/zzcCmkSh Xgh+0tHfVGzKgQ+98e0793/zmuDv8sqCfRnoJoc6k3h0tGFwsHZmqr23twoA JLO5wGIpADUMANKyvf/kePf09OhDr7+0trqwvGjrbM43aq7ckAIQHxIwx/0Q 5quzKFJEGd+FPGXJ0nr7G4yV2vI6VSg9dHmpzz7fU2YtGBtplGiz3PCv0sTE KHpKja1+Y31ybQvoQVC1n53f7o/X2sTFFfHF6dmpRM2hsKOonMjn4f7xWTya iOSCcQXbU5RLZHo4syBFpGJ7kLxi02OZEqYXIRrJQvIU4hwIILETLBXKJEH6 /XDfZ7FB5vqKq9r/lBkZ+u3J0VYyS/CPp+gf3AgACAFQ9P0riMn8O9fLXHj3 PEj/636EVAmFnf4mtoEhwmWRwMxISecyeGnZeQlMIR2bECcusnxCaT+PXOog q/amvu7FpZnnsUHtfR1KTZauqpQi+EV39P6h9hQ+7VlsIGg/CPP5NfdCJB0/ OTN6S9G4uf+nTvVb21qu0osMb3LyQPQ7GkFcWkChgq3XQ9P9TZMIxNsGz/5E Zjg9m9DSUmEpK+rorAUAwAA5T4rwmWFyFReAJa0eGkbKmoy84vS1LThB6hcI /J+cHmLnULnieB7MMHPT0RGMhBxxPIUZaaxRgWHz2l/uswi4ls1mBsDyVnoF 8LGwmKVS8/XwcoD+6lu1WlBZqRwa7tRohO19tshUv9e4h6Z67e7BTnObVV8i BlOtP/UlAEhrWysL8xNKFW939zdyi9wqD/g7OjVIZITi0oPgQLawlKy4eICU GOHxrNC4pIgQYjQxI+yBHzo2GcCncHBaUlYsvyCRIcbWNpqAPvUJxo2zk+OF 3Z2pi4tVgFixmVlPwzDeWArARSFkGkIsgAAkmEAS7Y6h/RCIfhFLOTpaOD6x 70KpN95Qz5BizC4tU3n5BFZ2jkbrcKw7oEj8d3jvgHNLKm3TC/bUnKJ7QahH NxKdIPzbj8PxLtFE+Dj6QQj2YRj+FSreA5twF6IguHRTB1gOXMF5RTV5PfZe DimL032DrUf7aysbdk1ZgUzJ5onjMwSUBCamrc3U22PNyobmYqTtAax7Fbgd PzLacXSwcXHxAZwtX0iQB1lfX+JLk5kCouiqtG+YVuAoHlxaRIKINjQ90tJb U9FUVNdqWlrou5Xl8+bHuZmuzdWB3MJibRkUTXB+w7HhY0t6cXJ2UtNiySqg AxRUVa0F0Ki3twkMMp2ddaWlBQAmGY3SJfvs+cU5NKo4HIfHB1hWeO8otKzP KsoISQqm8oixaRERycFERnQ2TCvEEVPT+QSBJIHOw8v1uTuws/17FQhuDPVt FYlZcTwZPZ4duby2eH5+Njk7enbFxvOJ6vPwcHuFtWh1eRAhMASICOx0tFvq 67RgB67nnvW1qaXFgY9GBfa11cfRYI4L8SbFAmgEZrqH0QB70GwNegKLci/i sbpMOjnZIdVmC5SZockh06AYk611TSWzMx2sXAo2LQiMJJ5of3R62vEJ1Efe F1vCBd472AWzAD4zKz0nZ3i4R2eV/X/u3oKrkW1dF/5Pd9xxz3fuPXuvs/Za q90VaNwtCQlx9wAhhAgxgkuAJEBwd4K7u7u7k29WFdC0robu3nvtM0eNjEql MmvOWVXzfeYrz/sU91JliCDLCMERWIAGt1ZHevur8RH4h2i3dxSMIwWNECUB cQxQnDsjOD07Lr/MHJGoux/gIolXbe/unF8rNx0NpPGjExP+JP5vdtR7jvTr qYHB5wNn+kNnxj/ekr1JspX1rYuufENZXVusbSjSJwp9CBSxkgMWTWIlj8yj 00K0S8tzHb2jsIvlx6q2n12uRuno5Lii2YoN55kKjY9Q7uKYSJaMQ5HywYMx MA75oF4tcGwXnkjQQI1PDLwj+f/h43TP3+U57MAG35oAP3ZQRU3OZ7tztdw+ fx9n/O+kYkLQQkdHXXKK9L1HMeyJnWiQEsS+mZkfB1tdtxmlZSgBBoC8u62F FZWZSNQJOKJPCjNl6XLyE0rLjesby8RwP1fW67Gpgaqq7PmFH8ZHilQyOTfO isRQQn3CVVQoTjOaBSEleKqXR7PBBr4qoCBZWltn7RWUhTt+sbS5dWOOjg/N FgAdtVc0j1BUMhhGAIoKEk3Z0bkQ/UuCIUOBaJAAWDIZ1WNjfSUl6eCJMpam uNBfYMO81rfWQIMKClMA7GQrcJhQz6U1yFTR3l6zvr707cOFPMaldTkA9ijj +WxZoECBY0nwfHkwgIhMaeALb7InMdgpiPDCi4zjBYETWJEAI/kDyEQV+3Gk QQiD320H5PRgf+EYIhparW8qsQ9mCuXhD33JPnSOHY5x15t035tw7z0agTPY ehEdidy9/RmWUstT68AK+ux8/8+moM9Yvk5PQbPPtBnmd0R+RHz6XS/8lQv6 VYwe+AT4xwHPfoGmI6lvQRteoumghdA5vqSngVQvZlhDZ9/VsveyemRWOV9Y mlXHCQuKE7KLUpKz9WkmhVwL+RoJ5TQAh4AcScmQK3RshAcyOjEkLlkMHkKZ ht7VY7XdRH/y8woyTfVPDDDVLLGKFqqifRpdjmwxCSF4kZ9Qx2WoGFwNeXR6 KNooGRqqu8JFi3NdLa3VIyPN87NI+obOhbmu/r6GsUlEWXSFLc++P4i1rrVs fmmmoDQ9Iy+2qspiyomxNhTX1eWXlqYf7O9cdg0q9Z3VDCUO7EQmh1IVxNGZ sbmV+YbuKje2GzmCAIVv6zk8BSVCAx5OUl1Hve2b7wtAX+Mzwyvri3xlMF3i Tw7zMRUmgOPKRIGpMDHBrFyG31mI+u30BLT2Ri8RRAN2ejw8aB0ZssJAqB0Z UoCLRocbhgfrwQ6chr4LoCPw08720tHRF0MJPlf/OQwjz1r6uoFQc2MGEyR8 e1KAGwP3Mti/pNJCV5DIUsprkn1OeQqo35vn7c72eE2yU6dJEy0avVkJHm9i qDdF7MuWYQRRWJFWN7+8fjtYsrMHOTwMjba+Jr5hqmgrC71zs12WspTS6nTw gC3MdgNJ/Rjt9Ybg70BGPYXj7F7CWO4Jxvstwb+vu8ra0ezOJrky8Y3dHWff gcMRFK9Pyfz7S8IDJ8b1pMBgu+NAfeDMeO0r+N8PUMmZFbZvQIOgwmRzmaXI aDBHSaIokAJZB6ku5VquXMcLYrKCGGy2WPCPt8yF5bXbtfn7y/TCnJ+A7kzD QbZLAqSd8+MEu9AwHsygu37O2cWmr5hxSxvr04ty9JmpHmzSc5wv4tImUtDm 5yfOPxQcyytzcOSOTahXpRfn/jM69hMK8oQXVGclmqLycuNNkOJaBwOkmIRU qSpeYPkyh+17EhJjVHNzeWFhivkasU9OTpzRpG5pq2xpqYiOE6pTwto7atLT lTdSiXy9IGinvKkoJI5tLE5Ky9Ro4kXaWCHYri2H+QjziSZWkGBUgL+sQPPY Z4TsLYYOfPYOthnS5EjQMRgKQ4YS4EYAFMvLTR3d9enGqOKSdDCSHEWw2awF kCkmMbTBWjQ1NRSfHN7e38RWExwpTxNyADawDQ13mk3qBIPUk2OvM8lvPSzH J0cz85MZOdHBfD83HO21L/UdiolmY9+hiPecqe7E4CduFLsA0hs/EiEUFaYi SzWk1o7qzr7m+k8yfp5fkvxcHfjTUTk83GxtKbIPIrIjxLSwUDss3ZvG8aRx /JhcF6rQnS6ENTYQq/aTAOoDH9JrLIMWqfq/DoEpOdnn5+tQ9orzw0+bAamt v3bx48nZAUN+DoBAdzyDnwZQEVwEuTzB9jVw5DmKdt+H+BJD92SIIC4mb6Iv O+wNjgm7RZFhGgFCQU0juMrpGRKTe7a//4F1eH9/M82sBiA8IoqWaFRXVBvl WhZskOIApATQkcGkvMoqAoBHcoYcNrGxUo2qw6PDv0KELyJLpCmyF/hXvnwf tNBPGydQfg4jgWUF+EkWw/cReJU1FADkjBK5N3RWri0Pjww3T463L8x1llaW jI60AFw0M9UxMd4KBOsCxFX+I1XE19HL2taqtb1q72C3trVscWkWrGfn5ien Z2Ynp6dPjncPDraOj3amFyaCxV7lzUW51caO/hKlQTS3DAE2a2cBSU5q7qgN UTMMRWmD4/3qeJGp1HQ5JpAJ+4tGVSQs7mAvVEOJNcoEUYSr+NCB0W5rW0WI mkwP9xdH02fg1R8oWkP4yET/ue0bfS+h+vf2NsAAXmqK3m8TY82fGDQ7pyZa VpbHvnnWgqMd4JZEmw2ebGKwRBBtSuWpw1wZwQ6UQHmqwpXlSpGR7CnvgsRo ZhT1Hd3ZheWGJFB7RXwbY1ZuLg+WVqXGGyXBAjdymC9C13BTc/wVoAKfc8sL IXEhrZ0lRRUpyZlyAJPqG3Lamgsi4uQPUR6w4sg/kE/BhzHeEgJf4Pxe4wOe Bnlhw9jR6Xp5SixOzHkY6K7OSLbBVomuwT5LVantVpo1c3baHQfy3XeQfQ1R HEEaJDg18N9f4P1pCml0plCR/i1o8PDoIELFlaqoisukQpe2DF5MEj+AwqQK 2EQux96PVN/SW93Q3dw5dIthvEVBmr6ysZ5SkO3KJICRvLKxgrF1pAR6MDAO 5MA3xECcAFteXzwxObC+8TGzwfV9miL8js+7x2jPF1jv9p4m23t7J+x5srdF l1DDY2Vj0xM8neJXj7d9o4Pb2+vW5vLxyUHwUhwdHyGeDP8W5fjk+ODooLjI kJAWmWpSIoTPEHsPbCG6DoeQnQyT2ginAEBOM5o1+UWp19nh4BSriWnpyua2 KgAVwI4lJy6vMCkvL2FjY+WHZGxBbgSoqrQ622BWJaTJFLHcUBVFFEUSKolw 8nT+1VQv07PlSSKdSZFSEKtLDiutsRRWZ3X2N+vMiqaO6q3t9as6b7bug8+v qM+PS5EglL8ZZk2aUQURYps1E+P95ZWZKRkK0Gt8mDeYXcvKTMb8+PR0xfLy XHGxIc0SXdla6s58HSB0ARP7yclxYVFqqkGWV2mkyjGdEI3hjf1Vzi/iJqZI oYGPPEi/v2XcdwQvPtUukHjXkfbAk/KHA+2hC+W+I+2ZL9mPRYpLFnElIbML X/MDv5zTrrfkA9vTtTOhz/m56aoGa0FF6RN/ElEoeoWmquMU9kGU5GwjwCS/ ewQDfPISw/gD7PhB4OQX5yCsSArnRNu0Qf5FN3NaG56cOzzaEun0/+eN/xss E1T+O5xgDiAiKNGtNwFSH/mS7YLZTwIo97wIgfxwu2DWHU+8E4mHFyvuehHA cYCd3hF4u3vvs5eenp6A+9Xb2zQ+PmC1Fs3OjvX11urihVGwE4s8mp+YEXXB PQj5GsF51mIF70PIo6i11sKyqixJFDkpXXF8fPCVLvzTCnK/phdnRqZHfQT+ TnQngZwsB6AOajb/Q0MbtKYA705bVx0Yir6xbn401QZ5B23Mz4/OzXSOj7bU N9QuAnQ02To10TY62rm9NXd4sPMzVOhflk1nI+PgvjSA9oyNdUNwYrxlYLC2 tbOoZ7B+eLKxri0rNI4LQ9Oj2rYs8E6Zy018vQD65/npwvLc0ur8l0TA9YMn p8c1zSURMSy+Es9T4BhShIIVRQv30xkkXAWOFYkhhHjo06UltRZrR2VUkijV ovtShR9Vb4MtMlMTHXMfRghe2DE/9fi6TOx7fHyDZLuIb0PfcN9TjEdYvHZ6 si8pM+41AfWa6PWK4GxPcXlDtkeyzb4h2V9FlsH0RPaMKEpehaGgOiO/wpCW FwO21Y3vig5GprXW7tqoRK5ITQriu6VmK3v7aqINUn265hU+AEZEvq/wHsHi IJQI+xLvYU9xf030sCOiMKEsINkJ4dynGC8HCsZQaCFIeE4UiJRgZnHh21uF LFi6+sdeezF+fUMEk+QdBzgjsDP9vhP9jgP919ckic7Y3gO5gK6sbX5LnUfH J8oYdaSGo4sXXMYCXAAkTSyPI+ZEqLlyLS9ExnbFiv/reXB5HeQUffrznRIR k1lyfvZ/ub2+jGF873ENYJIDKfA1fPAZ1hslpOIEuMJSw8lFDvr3BVaQQqrI mcW54uoCmkxkKoaIkT99idRpcb96ObwlBnqziaBOjJCSlRsL2bij2RnZ0QmG yMlpiBP+38U9CUjn/LzEMB09wSDNucx/kZmphXIhZUFqInOmNjZZnJImh5OF hehTw3Nz4i54bsGvlo8VTbBmSZWepQWnga9JabJ0Y5TFEguOLy7cPlTqqsAa hfO9/R2mDEsK86FKAsAcJVAQwlQUqZYRBbkkccG9kOmYUg09TE0J01AFsuBQ JUkdJxApCFi+q6UgKSSOFSxw1yWJ+0e7r6X2vuGyCPKxnMmCXY/MmbrKmlxV ooglRXcNtKwuz+sTQow5MfEmhS/vXUZGVHdvU2ZOTEtLxebGaqiWVtVapjFG 2pMeqdMjQFUjI91JyZLB/raOwRYkrdvtRunwaH9sasyVIvrNEY8Y1v+wo913 o9xzpl4okB1od9zItHBOhEb51j9sbX37s9daW1vc27swuvX3NUxO9H7Q8S9I E2QHJZCh2Wx7HD1cLfNnsAUqdWR87K+uuJdomjtN+DSQwlTEvsWxIVOXHzmz NH92cWx+aeQcyvfxzSFF8Jkh0alAllMiothKNcBCr4MYZIkSysPrhlMbMnzY YoDEwNc3OJY9ngNwERzdprgHJaQj0CK17wjcf7hhCWJlQ0fv4REUmgRWOjPT Q4cHew3WPLNZU5CfYDSqsjKjS0pSrxiPwZuu/DDltyYOURxBG0AXMi3Dkh+v y8h64oFRxponZ5byypq+xxzww0tofFj3aG98Trw4ihqpY8l17I94v2Uahi4+ ZGxiAJzc2F0H52JGtC2nayvjza31y0vjLa01k5O921vzZ2fHP9uGiPgw2C7E 6/nh0WFXT/PYWGdTa/3iHATYLsxSM10rC72Dgy2VTTl7+xNcTbC1s+7cdra7 NxabpVClRygN4UsrI0sLI/Utxbq0cBsEGzqqm4pg3fJnysnpibEgPlRLZUQE MKWBlwT1KCQCAuKLRvYj0eAEUqg3KdSLGu6HF7m3dCMmvD+/412dtWMjDZ+q jz67zc91TU+1b6xNfuOw7e1uXff8pMlDKbIwq7UQI6I8gixZgS9wEC1kUFiQ A+2dMxxThuRNu0igxoCwE9geoJ+IE8O/7aJfbRA8IBvba2AkCSJPlhTFlqHd Gc4sFS0wJCAwJNCZ7vOG5P6O6urEcIYj3Zzeku2IkXh1RvxdfxcPJt6OGIg4 bwPh/hDl/gjt+Rzr+4YQMDR+A5pxBKQNDE8E0hXVjV3llUWBZPYLD7pCI7fz ZTmheP/xCMWRpti+OXINKeubu7qEcJGMGakBcwJPpoHS6sFElDw4fIOnjeMK IwXM8GSSMH586gaI7nvKBQNMS+NryL86AFEcfUD5ePkVGVUwmH7MgK7+P5NB X2BPmp2f7BnocKZioMRtWN+Xwf6vgn096KhwNQvMkxIVLSYpbGTqh4Ui/tSC 9G5ray3LoqfJ0AgnDwKQ4GSREOFbVnZ0mjEqKMQjzhBRlJckiWZGJYryLLEI QDJn6SDan08C25EasrIg5JCO1AM7Ki8tf+ClcIsGI/Pk9vaGKScGyCmE8EQX J0TClq8HsoElMOyDxA6NInPlOH4UQaxnghMYkWi5npNfbgRLQvCrREXNyI/f P9pf31q9XaumpoYWF6cKC1PqavMsVcbH6F8ySpLA8Ypys0hFCo3j4CQ+AKfV 1uSOjw+AoTg9Oekd66bJg5p7rQFCFy+O3eBEH5jH8vMTwa/HR3/O5/ynZXB8 4h1e8LsdBWCke07U+y5UgIsQdHTflfrIn/QSzXjgzHjkRUuwFEYbczd33kfZ QyN8ft7RUdtgzd+BNWwz0wNV5YapyYHDw/3dS9dW0OudnQ/cXJHFfu/IOFMW HcAShOlTs0pKvVmSjc0FZzK3qLZ+c3s+OFSKD1X1DI8/DaAINNEAtDiTea4U gROJe3Cw8+0dR9762cXlvzmiMSLp2dkGU6H+wwM/NdffMdD+DEUN5EdMzE7a B7PuekF6JE96CLjiHQ+8QKN3IvEAgnKnhdBl0b+7456haMtrF4rEg/0dKJHB SGdrczFAR9Y6S3FRitmkBZ8JcEoCyPlfz9XEChSXoEKp50k1XDhGHloqRifw CBz22wDKCxTtdweaJ0HmHhyRkVttu+Fk+5MKco8QRW5RXaEgAhuqZSmTJUhc fLiKpk6RJqfL27rqNzYvXoe9g721CzJh6O+HR8fD4zNHR/uHhwf/kqC8s7OT 5cXhsdGmifG2vOKCqck2xBXqPTvTTHf/SOPEbGtbXzFeEnAEZX87GJ9pSs/X RCawcgvi4pLEWcV6hjRwbGqwvbcBzXWUx/MrGwpzy9M/GCjb+cbWmiyeJ46m 86Pw19HRFS66/hXh05DomQnmqLK6iyQ4X+8LOGF6qmd6snX2cxqkj7amxvwG q6XBWrC+vnTyZ6p45NIT4z2d7eVzsyMHB5DbUn1H89897PhqcbI55iEUEQaE lx8QZFQp25ONek10e0vyeEd1caA5XumRwH5Jrbmtq2RgvO/8stz63iH/3dvf zS5JCdWQqOFgbYslSYMABnNludlR3gFEBKAR2N7RnJCDNAUFHYIqLMt4R0Y/ g21DL9/TFAQAoQ8O+nMJ3V3V39Gwk7Gx/o6u9vLS+PAonTOKE59mKavtPLsw uN/AmlnfmE/iMSVRPH0inxXGlqrBXPEBvwSATDX1uU1tzZtbyMr0tk3+9nJ+ gVv0yVIvJuY1wd+BBIHMz+dWg2Ib/R9jvH25pLVPDG0X9X2Vuic7P8mdhvLj BD/HXRBKvML7PQ7y8WEFEUOI4NL+fDK4a5nlReffHKD9rypI32dmxkpL0tMK 4pINkQgVUo4lNjlNbjJrMoyqDLOaLcOEaKndvU2WLH2Yjp5sVELpM+C8SKnp ikzYN/tLTkrXv6ZnKPPKM273GF9BIxu8rNs/2JUniWQ6ljSOGx7NkOqYyhgu +Aqt8WP5Ui1DoqGFqSh8JQFAI44My4wMQolc2VF4XYIoXE2jSwIT0+UxyeER Gro2ViDXsbQp4XwVKac8/fSGoXZX3Rkc6igqTN3e3cquzNiB03ItL8/WN5Wg Qz1IkYFJudH6eNHszFh1TU5PDxTsk1mWNrM4lV6c6EB+FBbHBo/cyEhXUlJ4 e3vNV5wivqUggpgcEvP3l4T7TvQP/A8daPfcqI8DKHedyQApPQ4g/+KMfoGi b2xD4GR/b/NKh3YAa1Ea6iwz08OgYY3W3CZrbn1dbl5eQmVlVltbdWFh8uho z/X7gpRTKKr3JNFSMj674M2WDo6PRyYkcaIgo0NDZ89DX9LK+kZ9R6/KkHl8 vJpTWTQ80efDEqsNWeDKt3hfyqz1vUMdYNIdnez+uxMmLtMEmpCaZ/lP+4CR yeHqluZ7Xvj73kRnssCZLAQIKoArliYk/u4R/MCHJNIlv8KwUALx9MLkxdS9 t9XSVFBfm9XUWFBdaSorNQCMFJ8cXl6eZrZoZTANqcmibWktTE6PjNQwwIwX ncB3RjNf+9C9CIwQBSdMwb0HxtmN8sCNdt+R8f+e4yii2KGx2baekbOzv1C6 AdDfkcmh2GRJZ29T10BbuJIUFc3JzE9o7bIWV5gvzvmCQnV0pHNsrO9f5Hl+ vru7PjnRPjfTuTTf3dhc1dfXsPCh+mV6sm1nc6ytv2z/YIqvI0SblWMz4AnZ n5ptiUriJRiltHB/rhwLpjVZDCevIIkjx9IlAaQwb7GWtrW9cX7p1QwuVtdS Sg7zBicLogifAqSPNlAJLdwvREM5+tY1DuzgtLe+vjYFA6R2pPFf4psqLEzK yFAZjSowl66u/on+AflpZ2e9od5SW2UcH+sG92t5bcWBEgQW9VkFqf480pMg bySO3oGM8udRngX5AOH4Gu/ny0e5MF2dGa4ONCdMGFqgji6qrPi2Hn1rOTo5 J4pDHQn+fhwOKjTQDlIWOTrD0MiJ4QSu687xIMuI4Kszw1uTEpmWFXMROXUl x/EQjxMQ96AXdClncqzrE7fJPylIb65nAVxamlldW2lqH7hdpxAegDRLBU1I 1cTycSwgjz6wXIP1eGxyOJBQsclhh4c3MJJ+T0GYN7LyEhQ6hjyaG6JkejKD ACp+9QWAhHhfe7KCZ5fmbd980xHk3DfcQwwlP8X6fFo5cr8gtVKw310/Z7Za Clr111Gqf6EgGqT1pcXpuflJk0kDXj0AfoxmjSZBZM7UphujktJkGIFLRn7s 8HCXwSBnyLFpZjXCDAADJHlJqdGcjcRzvecEQExO2R8CJygBpUV/fHIb7lOk LK7OV9bmJmYo0gvi+RpypJZBkPgGhXoCRIQ4gQD5dcFJCy/2wTOpjROAZzVc Q2XJsBINXQEv/1mRmAgtIzoxTKZjIgoBOFkhS6wg9Q8hfFk3mPwvVuXHR4gX +keloauGGRU8tzIbFS+srrLMzIxWVGReIXCwNseF+wQIXSbmxs5OT4uKDB0d td+FjuD/NnYM3nGAbWoXnoeX9jWw40S970a570j//R3pnhfhCRThTptegPwK FhcGlxeHjo92NzdWurtr2tvKG605DfU5EGBoyG9qyGtuyCstSTWa1OnpytLS jL2v8lyB539ybhFM0lXN9Zvbm0fHJ15McXY5lB70MpQeUkAdHB5EJhoRF6Cb dvzy/LVzKJXqantfy8jE4NnZ2vbu1HMUzVySD37TZeT+6hr02J/iz414jWWC nbhMowdd+N8umEBeJDVChxFGwCRLJzYocfN+b08d0utGa15Obmx1lSk1Q448 Wgodu86atTDXvbTQOzRYl5GlVkbzWBK2A4r+6xvqf7+hvvaj2/kxfrMHI3w5 4I5UF5z47jt6ZgGSF/XGN/SnljOABKB7cV7XWDw40nV6egKOHB4dfhSTi6z1 wOfU/Hh7Z11ZmclqLWppqTg43P+nK5HOZqZ7+vub5mc7Z6Ygs9rMh9lPZqc6 FuZ7To7nl9f6Dw6muwYra9uyLaVxRdWGhpZcbZKQp8BeaH4iIVQDbis7MghA IKYUzZFiRq7RpoFxiE6XkUK9YQta4KXW6GPFEcLIylcGx5nkAE0VVJkPjw5u pGkBY768NAI7HXVOT17ApJlLr2w4hA0cbysoSJqbGwfzMFjSfmPNx8eHo8Md 9bXZbS0lQwPNvT21wRL+777OAnW4OFryAOWOeKS8IUAZRmD55f0Y4x1jVFPk eLaa4UhzDI+me9JQjgRUtBEi9v9REu3k5KRvbKq60drU1iiK4bnQHZypAa8J nm9IHvYknzfkt6ExvPWlAWE0+yHmZYgmrLIm/0Ww/3W9x9Mgn0dorycYb2da UHFp+u726vc076P7dXYrfmOkhsmZpUgNVxEt9gKrcy0XtmtAVngop0ysoKah 6PDwAMny8E8rcMjAaWNrhULL1MbxPRmYLwEk8DA8Rnvd93Nqaqu13dBNCKyL CVLRE4zXdR+nT2ES/LwFdg5CCQX+hbxwNy1Tk0PJqZEAGhXkxgtVRI4Cl5cT ZzJrtIkh/mz7svq83p7GFIMMHeKenCaDwA/sgJSREVVjLVAnh1qy9OkmdWZW dEFBcnVNjtmk4UXhUzIUiAMzbI+DQuDNOTFHNwRIyFM3Oz85NNIdoqNJVFSl jh2VHCJUkQHgwYV6cmW4MDUFMn9cYHUunL/7A1tbaBQJCi6Awo5YMF6i8RTB SFD2RWrvWAGA9+ac2PXvTlBydi26Galn/xDSbzd21erihAuz4wcHe4gAQrRV eTWZzCg8PKna/lRz/udXhx85RVzOfzzC3Id9kO67QmSwQFJD5B5ONLaY89qb /p9PCbQQlSw+/j/tA3hqiAr15Phwfq5naqJpeXFwaLC5ttoEEBGcPjsP2UG2 lqaC8rL0rCzd0GArkKcrK7Pg82J6gTvb0T88Nf/eo+P8ktcRdHh64T1xAbJ6 O/1ujQqsltmynS+en61fHgEwdVNvzOCqtGCpury++QbLcqFwfTnhHoxQRxK3 qLaysKbiV1fsQ1+SItl814tQWt+E/HdkqA3SlcFoEOzEp4SDZ0OfGCpV0VV6 nlzLKq0wLC/0TU22wrHt3dpk8ZOA4Pvu1PsIfYoj9Q/YlPnAiQ62O9BB+m9v yQ+cGYsrG/2jkzsIDvzOPv+g8g0GIMgxE+GiNxclTc6OxmRINTG8vFyIsLG9 vSYpU7W0coNl5veXrc15gCLmZr5mipqZaT89XYDTGc8fHE4PjNW1txaLZASx hpqUJmVHonly3DV4g4bpnTHKGI4igQ8e5rXNNWtXg8wgx0XgfQW+NEnApZdR IPgvOdyfJPb/CCOBBRc5FIJGhVWZiytztptJFmjoDg+2Z6baIPXRTBd4tKYm 2iD4B4W29Q8PWddXx0ZHmsBEenKDyROqdrC/aWysq7O93Fpn6WwrLSpNdyCj kBhtZxr2KkW7Cy0IyryG83Mgo8Wx0tJyY1WNuaYxBxviA3rNlWMYEei2PsgL 8cfdaHhWXxxOzFZ68vywIj93CsGBiPZjBziSMBiRFymSMD7WWlaX9Zro8Bzn VV6VHaKX3w9wR/QbL3C+vlwiSy7w4RCdKKi88uxTmOnu9q2B/3t2Wb6nY+Ae FZenmvOL7zgwmKFsTSxHruNEaiB297GJgZ9BBviNBfQx1aSOTQ7nRFI/C43A qDpQ0GUNtZUtDTedpRDOnJjMtDu+zgD/fAkggdv3MNA9SMz9N4JGiHRbWVmY mh6xFKdExnJ4ymBtoghxz1bGCxq7anZ2t6oqs0tKM8JiWanpClMmlFPMbNYW 5CXGGGVSPSvPEmfOjV1Ymtnb2+nqqEtKicCFeWWY1JZsKNItE2GTzogCC9Ub jgys49peT0yTAWAjVpERx4/IOF6EjhESReLIsAo9O0JLD1VTVDF89ScxywAC gV/FGpocjsJGlEsAPgGABBDRdeuwXMu0FCT+aYO+PpKf68CFM9vJ2ak+XVpa /d7zHxl5IIBSC+J2935MAlMkLCI2veSFF88hMPSOE/muC/n3dyQAk+440H55 RSXzmBwx554T2Z8VNjrS4koQzi6uqNMsxXXNe9vTUxNA9HcN9tciKpS2lqKR ISuQLzBsgABSc2M++KmywthozQETb2ND3tHRha4YCZfQpufw1IkACewdXIS3 I5QjNx23m5RzKMD8MtHB+dnp+fnq+uaCXTBnYAyKB0y0lGWVFTLkan9epB8n 9PBoFZxKEKvveOKCRIri+uahiRkbzOHc3VXdUG8BfUSgYFWVMckgzbToyivT EwwR0Ykhmjjh0GA9vKJvX5jt7uwt92Jy73tR7r4Dw0u9d2nHvO90ETUMMOov rwh+VEV7/7A9nrO6sfVXctb+oFxH9VeW052drZKStPa2Gl2CsLGtUhbHgWI3 LDFGo6q5uTw3L6G5vaqo1oKA5J/eQJttdWV8ab4ToWP6WHd0yWC5tzt5cjJn O19Ctq2d0fb2ErD64ylwYi0FdhbCXAWjsWXoIJGPC8MZE4LKrswemR4NCse9 Irx5Q3r7huyAD0ezZRiAi9BCbz+eByXc3xGcKfJhfwyQ0OQw7+ySFNttH+bT 06OdnbXJifbNjZmO9rLWluKFud7pydblpVFwcHtrsb6+sKWlAh7nb7S/Q+es ry+0NBV2tJWCt7WlsaCpqdCDhX+Jhxyzn13aQYBYdKJisCH0pzinzOLk3Y3R 5pb8OmvW2GgDVx5ECvUmi32JIo9Ui+Y7HZCuF4QqsbSp7Dn+FUbkTw3HEMPQ 9AgwqmiyGEUR+8rihSmWpKGhRk+O/0O0O0HMijXFwz7GvnCGFM9Qrbi3vaSp sSArL7muscx245H/el9u303E0DY+tZSWUxmXqow3RMQbdDEpmvLqrCunpn/V FLC5tT4y1mOwJD4N8gSDeemV7Y8kVgPYJiJRd7uaEblT1lDzIMD1Kuvfp9sL 6HKB8RbTvxFAul6m5icGJ/tbuuoKi1KysvXJabKkTDXyU3V1zshwV1VjUUJy OGI7Q3JqC7TUtEx1pklTBot+UCqtBWF6pkhLNWQoEw2R4DMpWQL+Pjc3cQsN SU9/izZOiOAimY6FsBsBzKPUcwBAEqupMJ0LR6plIIGEYB+h0b5SIsGGtosa NLGCqAu1EnTO9QTfkRqGyaL/GTfu/FKxMzYzQpAGXLi8/hxFAvLmdfSOijWm R27M35zwb/2FOIH6l1fEF54MHwKdJ4mKTxXFpEQ+82ZHJ6ZOTPS09g6HR2ut 7Z3np3swQIK0+gN9NcOD9WBbmOueHG9BMMPVdvV1YX7cBoXbzyBeTDYoP8g2 ih/JkMfqMkyIjgj2+oZ+Oruhk8B3jAJAm9uNXb1Tc2MQwxI0+GcFVcU+bIkL VZhbWQVOAYhFbUj3oAvq2iCrysnJSU93rRVKEf6+p0gy+t6uyrXlQQAUe3ur qmpNfX1VYEwWFwYW5jrbOmtfBjH/bh/02I352J35hz31LoBGLtQrm+Y9GCAV V7eRIjSvMEw8VzcyPmf7J6pcvqOcDw11NjWVmcECJ1MHVkNgS8tQ5lhicnPj MjMhKtSC/KTK2txkk/Kf0Rp4xOYWVtKzsxEgtDTfjVAwIS46Vw5I+7uTNtuK 7SIxzfLJ0VxxcbLRqA5VkagSvw9MY1JUcKivI935Hd35LcXBnuroynJ/S7Z3 ZrqCI/hwjEhFYkYEBIf6uTJdMEJvJ4azP9/zuvoIzuMTINbR6ZIAiP4IzoF+ 6z7CmUTOwFRZX1+wtDRrrc/e3V6CBeop4mV9s7GaHZmeGhgd6ayrMTc25Lc1 FRSXGQMFlOdYXz8+FZFWkNgCktHPRZuipsrIHA19c3V4arI1vyJ1ZrojOVMe b4xIzVJI9Mx2OCnwj3pukXr6RjpD1CRhFB6OEAxAkkiCIQ2PpstiGDyVgB0l dqZjXuJ8H2O83FkEfwH9WZDPa4I/XcZLNEUjE9Hq8lR3R8Xa6u01mQCdjox0 gbXA7Oz40tLMD+kgUrZ3NqrrC+sbS/b2tgA4uXULf2zJrS57GOhmBxNFviEG eDMxdgQ/rACPDWO19vfCqWFuxlOESLfG7g4/Af1LljtEffQkyMuZHoxgyL/C UNyoXG9wfn5iRUUm5GIEp9c8Oz+rqcldXJzOKUuXx3BqrIVZmbDftVlNkwfl 5SelpEbWNpUg2DilIE6gp4fq6LFpUrNF39xS0dPTCJ69mzYG8ipcmYesYNEX HMVyWOejht2wwY5QSYjUMTXwT2AD+2xZEKRf0jFDlCSEEAlAKZ4i+MpZThOP ICXuFY0wlFo0mgOnuOUNDHfafvKNG5zo3UU4q69BhR94RaSmja3dl178O67E hz7k7OJ6X7IcAKQnboxwJUumVSZnqGKT+fqk+Fc+/IXZHp4y2phv3lodXJgf WFoYArIGETdLC72Lc93zs10AJjVdapCutoZ6S3dXNbKaDdWnypIM27vr+4cQ ABZokgEU8WGHLSwj4ZyntvM124UmbQOAkR/V2S+Xs/fZz893zs9PziGXkhWM UOLNkpAj3q+ScipqJPEZEEXk6QnozpV97fo2PtqECN/FuZ6F2S6Y2bhtbrb3 cG8xs7joV1cMPypRl2S88w4KFXzgSb5iVLjnRP/bCzwjPCFSn/2rE+5XBzyK rto/OPzrKpHgVs3MjI6P93d3N5pM6owMJcBCF5we8Jafn5CTE5uVpc/Liy8u NlgbigsLknuH2ueXZ2w/+d2BrdLnEl0WN0I3PdHW0lo1PNQ0ONgEntLlhe5Z 2FFna3PkDMJFSxcAybZWWmlgRqAio5lcOMrsOrahSQKdLuLZnZHk8khKVvDp xnKnSAIlMSySOAB89WC7uTBdvLnurE8C2Uih3olZakupIR6meP2OEbj4497e zubm6uHhPiSsbxvSAj53tje6O8oX5kbaW4pbmwoU8XI/LsSB/Azr7cujokOY T4O8n+N8vNg4TZouxhg7MtzgzHRLydENDNZRFWRjUfz26jDYT87Rjk4NfV/X PtO87JJUmsQf3BpGBMSfIFIRw7RkarhfcKiPSM+JjOMQQn1eBntdj0n34pKf YX1xoQxrfW5HaxF4N+trM/t6rctL0yvf/Pgh5wDACSAoxAJ4BLDLXHNT3uLi ZGVlVlmZCeClvd2Ps0Peoo8IbDg43EeSFHxj835qOYH8os8MhZYHgW7msoLX kO+Zf0FVgT5VMTLaBdp5u/ggpKfxmUl/+DpCydquQSNQvxMl0JOJsyMFPgx0 TbGkKgwJ1a3Ntn8rB6SrAis+z7a3N8BMWF6RacmNW7z0MdjZ2QS/RiQKgiW+ 7Z11GUaIf1uXFCpPCS0uTE1KiWjoqEYqicmKikwWoUPco9IjpqeGV1cvPFK+ feSRM+sbSnQJIYjKCAEwV6gG8cEOU1M+yr+GpBoBf4nUMiGdUgxEWQP2lXDi WqQSiYYO18C+0CDF8sAJmjiIgntyZsT2M2/cP+EFQS4xPbecnFn+HE1Xp2XH pZf8f0+CHrow//6S4kOkSzWcCLVQrmPmFOgJPEWELi47P4EQGj430w2FSM/1 ARjQ1VWWnqWqrDY2NuUtzHW3NBdWlGe0Nhd+gBysueOjXUguqpGpWUciN4AX ivhgdw72OJP5flxprDlja2d1eW3r3LbXOdCqTbeA6d92/hlX9u/v8icHbccn 76MkEGNfWUNjoqUkkC/tHYHgOqIWBsslgI4G+hvrazIbP8GBYBsdhuKkersr u7vK21uLkTxZE+PNtvM9U0nNCzT98PgQxVD+7TnxoQf1vjvlglEBouSl/+5A dsaHPnCh/+FMfOMnZEmSckubrtrzVyvIcPX3t6SmRhqNKoslBiyCSopTioqS zWYtEnkBcBHiWFhell5fmw3AUllphjyOV9kI5eL8qZPehWg7PJqend9cnxke 6RsbbZXrEyfHW2vry9s6G7e3p84v0RG02ZbBWqG4KpUc5sORBbGkHztXgyO+ PA8HAIouo9qRzZ76DifB+fC8seE4D44nAEgOMEZCYNVVgD/suY2mRwTwlfiZ hcmIGNbgWI/tLyAHr9pQUlOoSpQXlKQ3N+SFaMUPUZ6vYXvKkyDvlOxkcOQB ys2D4zM22mTMN6TmxqDDUC/wb3z4Pm5sd1RIoCFPjwoNvBv4qMhafAqxBP4w /xnQvPwKAy3cD3LughkShofrs4tiI2MYaoM4ICTQi+eJEeDfBgc+QnsiwWsA ziF8hg5kVE1dLpiOwBqtq6OqrbV0cWHC9q3DDp1zfHwElv9WayGARgAWLi0M z892zM92d3dVDg3Ury6PggFZX5s+OTm8+svtymd5IP+FJjbksqubGykFYCq2 RSZEvQhy39haO/sk4/CNCvLWp+Wb7vo5vcIHPsNBZEovcL4vgiFSdE8GxpHs z1aGPMP5CjVhNsgp9/AnGVD+OQVIvYpyc0m5KT1bh0jAS5+ZM5YKz1YTGxpL MjKiCnITeEp8nDmqoiQjNkncP9ZtgxUjqjSJKj3Cm2tvKIy3XdAw3JgUGryM KVkaqZqmjv1MVk0EC0Vo6FcEdzCnMf8qwwj4VR7Neh9fqWcjdMGI9glSQOl5 Mh0TOVkezQ5XU8uqstbWl3/20/tPYH5A2r+1uxscppqaX7QPCLljT/3lFYks UMWlpsE8ZmD0eLoEoTFLI4sOTTRESKN5xdXGFcj9GIoynppojUsJV0ZDKrgU IP3Avp6Tmx+HmJ/AJ1i49fdakXGqbOoUxxg4qvg/PHDOZMHm9sb2zgKKL/bj RASHySPi41hKKHHV8uqwHZ49CLGprJ2dHYL/Ipx/EGT6Dp3SR/fq03t3dT+v Jqu4rEJFcqbtknXQBi8n21pKxse6WpuLABgAcv+6oQ3s93RVtDQVNNRD0W0D fbUAIE1Ptq0tD3b0D3YPjTV09v3iEPTQnfbAi3wZvPaedep3e/J9N8qdd5Q3 vsLf7Mix6cW2v/zqaXpqpLAo1ZKtz7HEgnVQfl78VXRqQX5idhYUrAqOV1Zk 5OTEtDYVpmWqAEhYWJ79Ga/P1yo836xpbJqe6Y7LSF9YGgNzP2Jcg9VHS9u7 E0vLvSEqAlHkBWAMgmq4MiyClGC5jA7ge9rDAAnRIF1tLkw3mFzaAUm64cRw pkkCL6U5BiP09mC7cuRBkOe2DIPlORdUmUH3l9e+i/0PUTsgq9TvrAeUg4Pd kopsB1KgPQnlwyE6kNGX9EH+D1EeFJmwzlpoR/J/QbDLKUtZXezHSbBOTBfQ cQeqI9RrmvMT3AusGNPQmru/t4RUfLv2fNo88JlbWUsI8YMQpiTAj+dRWJVB V5A6u0tLasxvyQ6uLDcvNpYo4ZGlXNhDxtefR3aiBT3GeHmyCWUVxo62MvAy trWUTk32jw533GiswIIIAPupibaV5eHRkca52d7ZaUhtPg1WiJeUEdOTrTDt ya06eC3RZ25JY1Vj+9HJIViIAWQSnhB9Q3qln1XA9fuHO+PSNVesFLduEhI6 Xd1idWdgHYj+zmRfT1YwLoQawA58ifN2omJQArIoimvtaPQT0Ddh9rx/a4B0 eHhQUWYqrcuVp4Redyc+PjnGib2lScLKyiwo+VpmNEuJyylNywary7x4JFbr +ORImixUpkmcac87BltvZ5RHFH3WjmpimM9V6hBE4YNY05DYtEgd8xIUQT5F 4WqaTMcCuChKz8GFejIjMfr4EHBCpJYpVlPe+2/rIducClIl0SA/bT1PEycE 7+nQZL/tLy+5vrGcw4R+YM03NDb795d4IKN/t6e440KHhlpVsVFyLSsq5iKt qj5BhBgxdYmiocH6+RkoM+bq0oC10SLXQQhTqqYnp0cmp0UCHNVgzYUJkfLa W0tnpgfhZ+Ose6j3rhchMtH4EsP4myNabUhNyM58jqK5UoS+7HCw88iP1D8G 5W9SGVJZCg1Y1J+drcFZEY9tEHv2PIBM3/O6rG5sHh+fwojr8Kr727t7WaU1 l0l/Tm3n71lHDo+Otnc/ICE5h1kawE53t9VkUhcXpYBuAkR0zZ6Yg7htV1dm TIz1rK9NTo03zc/1I7W50ULuQWlNyPecYEJOJ4hL4XpycMTods+R/h+PMZpk iHzgr/yYIdK5uiYXodyB2DkumWCzIcgUc5lRKL6oMAkIGgAgAbA0mlVV1nzb z5n5j0/BDYZgA4Cye3s7Pf0tZZVmS1Fy50BzXVtR70BFXUc2jI7WtnfGTk7m z2D10e7ezPHx4th4Y1FVij45lB7uTw334yuCRVFEgJcAsEEckAA0cqA5vSXb XwdIl7jI5R2UdMPZjeUKoBQ7EsWJRGNFPp5cryCBR0q2Rp0SpkkVZxTEyRP4 39nHj9JyXadev+mQXiyRNhZNljhHiNPYB2wvLmPWLqK5MV6FZVmqJOUDzEuq gjQ80sDVMt6QIP8rhEnbmeEKgIpQz80sKtZnZORWNhwdI4vl7+zoRfOyymo8 6VRXMlasZ9pT3xGkeD+hb16FATQDXNeR5uTF86QqiNUN+S+D/f/h4yTRR8gS lL/7OuPE3PGx7umpgc72ivoa82B/4zeOD5gNurqsTU2lvb1NhQVJn1JOIUeu js/P9Z6cfJxx4xt6936/uXPICR3+q6tHVHoiTSHxZFO8uJTJ+dmltVuSEv+Q cn6ZkvuHv6r7B/ttXVaTRZ+SGTMzOz4w1C5NUP/m7RibZbDkx3X1Nq5vb5+e /svi+L6/ICO2urZYW51TWGfRmmS2a9jy8OgQAKRok7y0JD0zE/LYpMuxyyvz VZVZ3d0NSA0Hh/scNbGxu87aWfO9jbGd9411a5PCVHquAuLE5mhjBQIlAXbV hnRBusTQKxNbuIYWFkXWxPLpUlSAwMWf74QJcadFBMp1bICOAGoC/4W8lWJ4 YAfx7pZpmaE6ujZBpNAyk4zK/cP983+aF/HPL4gITjKXY9lagjAaYKT/95yg TUwtLjdEqBhIdgwk69b73L4x/Kbm/IXZboCUcgvjFTp2XIo4wRABQaP6HCAN AUCy1uXAmu3KU1grC9EH2bYYck0AL5Ik0fzmhgUwCQCkV0GMZ4FUX7YEfP2H axBVqj09O8qvKvuHK3ZypvfsfLuwpgJAKbDMPz+DV/22j9PUfmMHJ2bnMUL5 yckerInaWdvcWlmH1n08dSJaAPmEdA8NqFKTz893TSXVewcHh8efUSYjjzfk YpcTB5B/WpocwABrbXZTQy6Q/tb63Nbm4vrazM72yrm5saPDg/Oz0+3tpeWl UfC/ibmFZygalDbFn4IwKjzweu+GdA0m0X+3o9j5ixaWIfeGH5WkEpnrTk/P frjqprY2J/vLuaqvmGDzcuOsdVDcX21VZrYldmCw/Ye/QbOzY7lFyaUV5urq nLy8xNzcBKNJDXBsbGKYJS8+PUOlSxBFJ4Y1txX09FYmGSM3tobBM3l8NAfw ks22DQA5+Lq2OlZpLYCdrgOlOgZXjmVJUWihtyPd5Q3JzpfrFR4b8u5DQxvi vO3EdPXguL+D5LV3cFgARuTzOOhZYm7CxPRgtCFiam5MomeCT4QS6jtvwdHR fpqlcnBocGSkEzkCw/7b1AnWmAN91iAR7SHKC84x8QE1DQBL7yjo9OwYsV7g L8S8ozm6czwQNHiVZATsO1CdgsQoPzbNEe9OkwoODo9sPwQg2S6m2d6+zsQs s6/Q98r7CwyyHeUd4gYGUChArXqTMiEzhqkQujNwuUWGdxTMq2D/xVUozmV2 dsRalw0w0urqnwQ+ID+trMwXFCQDbG8wyIuLU75IE3Hp8D8307W0OLS9tXDT DoL1Wn1L3+b27htf0W92pGcYfzcG8QU28DHK04GCeYTy0JlTwW1FAOdfpyAZ lm9t47g+/lfJvgEorWppIESGbGxvIqqqf+uC9HFktKe1qdxSaUzJj7Vd0xZu bm/48p0SMlUlRQZLtl4TL5CnhoLjdXUFIyMXBGvrW6vkSNTRMay1++6pEvxf HgspiCBlURwUgAbF9UdzlDEfxKBFXXAZAXHPl2joKJErAEh+fKfgMO8ILR0h O5JoaOFqKowHIAMcwFEAd7EVuBijXB0vnJoZvbzg/5CCSMy1je2l1Q0PvPS3 t6Rf39LxXG5MEv86v+sHadzhPNT5RQnRiSFgkOVaVmaOrrranJqmqKkyV5Sn l5UaWpqLm2CNwf4lL0HfyPBrLP1pADUkOvlpIPU3NxxToSaGy//hhrMP5rjT RA/9yL+4oHXGzPXN5V9dg0J04KE6zqko+l8vfSubqoFYMBYWiHQJN+sdwpxw eooWynxY4rT8XKY8amRyIJAnqW/vtXb0PgskHxzsgAWgO11QXFeTXVaDF2tb egZIEu3o1MzWtdQqtkudycTEIBDBs7Pjg4PtVmtRT4+1rbW0vjZrYWFie2ut u7Oqusq8vv4+t+8pbH0GVdnjuQ98iGD73YFyx5X8JJBy3RPpLsyPBOUHf4mn SaAX6vS7JelX/n763UQuXQMtcwtTne1ldTVZHyWt/ixMgry1i1LATkJiWG19 wdebd6OC1NPcWpmcEmE2aQAugtVZWgSbIXS1kI4LZlrTJYakGORRSfz6zuKc ysScqmRwc87P1s/PVs7OgACFcOn29kZGjj4kiihSEGD6I7Q70zkwFFNRZVEZ FPY0J1eW20cYyY2NIAcnH74vAEtvyQ7efN/hKSjbJhJtUVBlqmkutl0+RTct CAkGeJJj00rooRoHPzpVEFGYrzPm5NVZK89OIEGzu3eDELaroQMPsBcLyvjw 5lrYNaJHeo7zfUsIKKrIQoWigiVYKGoP1pjBG2RwtKM4uLHdQWexoX5cGYYV iRGpgqOShDsXb/0PuL9lTWUZhfrYLCW41rXMJk5Xts4rx7AYs2JytNmNjlUm gvur+oeXY0FNuQ3OIrq5uTwy1DY12Wf7tqfu8HC3vb28p7uyq7PsG5LfdU5P toyNdnzj44w0YG5xFc1Q//aWLI+xvPDm3XEkAkT3HOfzAusPE5X7/+HjFG1O S8uuTc6ssF3SAvylytnZLVWF15dp59fINhdWljd3Pp/089+tXCDtudnxnf2d je2LyMQLzdLGsr/IJSlTlZ+bADahAp9bkwl+Gh7pBjMPAocm5kb5OurxyfH3 GxHgeeOkwpov17EiNLQUU5QqTsCSYtQw36PyUnekjuGL1dRILROJ1gcAyV/g HCh09eU7hqhI2jgokwhASuArLSJADvlm87RxQoYUTZOi/LjvpCmi9e2/SgDm jy2ImiJcYxIp06mh8Q9ciMxIWWxSiPKaZ/unzl1R0ZzLLGPc6IQQIP5MJk1+ fkJtdWZOTmxLc+HK8kxnR+XuLmygP7ftHRy400N+dcHgQhWBPOnv7riXGLpA o3/oSwKbG1X4NJD20Jd834dYUl8PLvwPN2yMydg73A7QlA87dGpuwJcj/tUV W9vWZftm1Qpy0uHRJidKS4tUB/LC73kTPeiCF2hGQ0cvAGbUSGVuVbVAExck koxMDLwOYuaXFfhzJMSQUBeyYGhi5lOVCwA8OzsfeB2srS/W1WQODjTClwQS p6G9vcb24aOyu3/Q2jvUPTT63IfrhBG6Utj3vUn3r2mQ7rtR4B2ItPOxLyW7 vOrWN/T8w2kHAsCbW30jE8biqrGZhZnF+cPjo5yKhoTsItvNYRhSbVNnDZbn zFPgzBZta1NhUSG04r6eM+ijDQlwA+cAKFVebdnYXrP9SIAENalnoDUnJ6am OqukOAXxD/8YpCEmv9y4JmteTEYER0vVGmXuzDczC50AF52fQXEB52dz52cX 0aOTMyOtnbXdQ635FRlovkt5YxEYNwCN3l2Tzp9usFsOQFDuVW3Vp+BZuXTO BI2EofL3dlmsMf2fh2g7P+5LTyY7VHLPgfTOj6JPTNQm5d1zord0QvkvvlGb hNzKnpGhZ0HeTzBe9wJcIQEN5yG1I6LsSCgfLumevys/WooRo18R7EDf7WG/ I3uK+yu8pzM9gK6k4COw6jSpH88DcUfH8t0iYtl7MNvAd6589w/2jo8PhTGC J9gX4KLvPgBFiHXPBTkCZcsl2ROk+LJKE0AXWBG1t6s6LF4TIKBe99z4RvYY cKcW5/ugpMazXQiV1p+kBp7tHh6s6/1mfgNk2PuGp359TbznSHvoTnyODniO CUQSnF1iVACWvJ3JNKegUHm8Cbyk/3KAhMwqQGTv7+9091jTC0z+fFKJtdL2 HZ4A14frR2nL/9oF6uPJ6bHcEJZhic7LTcjLjZfFcacW3ueVRlRzLb1WoZ7x Yy6J6EU3lyOjWRwZNs2il+s57MggAG9k0RAhEhShH8vVxYcAgBSqoiBHpFqG UEkAJ3BlOKLYRxnNCVNRvLj2pHA/qZbOleNgPiVmmJqKDnEnQrmTqB3dDf/z 0BFSQL+mZpf29g/Tsgw8SXB5XWVpZeZHru/XM7lDxPhwQB8ClqITRDU1WaWl 6RkZUcVFqUAIVlVmHh8dbm6ugLfpHMpkeqg2ZPuyxXc88S/QdIZM98iPDPZR AokHDcp9BpCJXTAbICUAYJ6jaOGxCQAp/cMN9xxNg92TyC9QNE6UzlJeJks0 224mW0/gMCXIjGIqzr/rRXjkS36JYToSeQChvcQwfnFGgwvFGVM8qBxORFgQ h+NJZTvjqRHx6V+pFBF5V183N5ZnZ4avWoVojT4tU7MrLkHixDQVNYxx1+1C fXTHHqAj6j0X6j1HaLsLBbWRHvnQcsqyV9cWvscoNjG7QJfpK5vahdqkZ4Fg JElcVSwjSlLbVosWCROy825RJzIZ9o90hajJ5DBvuiQg1aTMNOvKSg0w8ZEu O0t/HRchG/xVZzSqrozsP7RA45ORG5OTq+9oLbHWWfLzEj4HkPRmM5RQuK4m q7+vmR0VXNdeGRbPqWgGQPHo7HQbWgyfA+j7mdxPwxP9i8szyYWGF/hXzkxX B6rjVzCSI93Jje3uK/D3EwZMzkNT3/fPG23dI1s7e7mlDSSh/jc7yh0HyGnt D3sqZJO1p/3yivS3F7hgtmR67j0L/Z+PGrKe3dxwpGKDQlm6jISmng53FvFB oBs1UviG4E+Q8FwZhGdYl9dEzxc4H5SQQJdR3pJ8Xwb7whLcT5uqNufGDA1Z iypScAL3yFiWKU/TNwxleD+Duc1u0VOkVQvLM5FxHGkMu8qa2d1X3dVTERLD fYF/A4b9SmX0mmgHJ669MPa9pTj48gM82US+OtzaZuXpFM+x3tXNUC6MGzm0 HB/vQznvLi1oX98gGlLIZ3twH9ITftOretHBpY2n7twnAahXeL+X0Ob7CSmQ 3zOM3+NAHzsSemH1Brf1Z5SrS4MFryxagOWhH6Pc7wd6eDLQAyNf406/cmSy XapQriY0xFT30cn/k+TrZVc/0y0gIGpr8woKknJz4xeXZq5Otl0pGJdn2/qb fmBLwFDnl6RhQjwsJQaRkgjADwBIUfGQ6zXYQuGEI0gwmhqyr9EidSwdTAsJ yf1YyBMbE+JOl6IgO52WCfFpAxwVw5XrWCIdVaAmyTTMusZi27/0Kf15BenU 7t5WbHKYXMvIzI0pKs+QQVlWLwBSdEIITAN1pVPiZubHK2NFiAYpNlk8Md6x u7s1Pt6/t7e9vDzX2lp5fe02t7TyNID2u0fw0wDqXS98IF/izQxFwBKKH/7Q hwRAy1sc67E/5ZEf5aEvGYCiZ4HUJ/5gn3TXm+BA4ICveiNALKfHJ59frVx/ 9T78YecMyiixNr80/BJN/8M9+EkAFVQLANjTQCqAXgAy4cVyZXKyB5kRoY58 jaEHcQVvgmjZBVkita67u+nTdfAnV/nzR+L45ASs6xeWFuVaACzZPkz8Sz/y YzfqYzfKIzfKAw/KfSeqGx53H04+cteBYR+IZ0Sgty5Y426wQDs5BUN02tDZ p03PcSTxf3fHZRRVutFC7/uQS6qKpfGastrc5o7y9PykkroKcoSuuL5pdnH5 Rk81cnLXQAsjIkCdEpZRkBCdFNJozYUoYXNiS4pTr2LZciyxuTlxOTAPAIDN o2O9CLD8sS8RUltabowylt3ZVlZbnZmV/XlFFuIKVV9rqa02F1ealtYWN7fX 4ZR/51AswCfVImEgSP0dQ132cLSaPfUdTcmAWSKdvoSRnOguj4KexFrivj/V JtICocKAYqhdgsL/63kwkhsIcexHPu87Mf6wJ2fnmmw3NHkg53YNDSyvX/gD pxXlPsP6oESMjKIcY26KP5/2Auf7Gg9Z355jfb05xEABBUrNFuz3LMg71hTT 3JRXVpW2sTxYWWtsac2vbszx4nkPTY1cjuGN7/U5FJt8Njo1So8IBAgcgK5E k3R5vkdpkHiwPd05HvZURzcW5O6lzZBxtUyAkVgqOjhiKEizI6PdmXgvgJGi FVgx15NNSsy9CkS9QVlfnfoUIM1MtY+PNn2kU1qY656f6Tw+2rs2nH9SEMAw MjkdJBI/x/l+KSXZC6z/S6w/nAXPT5eepYzLPbohMeOPLeBJ3tleq6gvJoSz wJPwmhBgR0Ld8XNRpMZ/aRF3HSH/D5Sa31HAe1FWZiwrMxUWpnx/4rBvuBwc jrGzGZUuKSzPoIT5itVURQyXKscQxb4hKpIcoc6G5Tscws8MU1EQdBQFW9zE akq4hqaDtSLqa7lIpNGsqHjIbZsRgcosSTk7++tnFr5lQeSWpSApUsOI0nMT UiUIVSbEb6BjmbI1JeWpMh07QsPWxPEBXARfk7P0kRqmUsdOMUadfo4iAwau 5xvbO5r0HIBDADoCgASAE4BMnMn8Bz4ksDmTeW9wLLDzNIACtocANkDnkMGZ YAOQCYCoPzyCq5prTk9Xzs4Obt4xgEwgohuuSverKzajMNcez37gQ3wMoa+L a4FLAGDmTGS9CaKjOTwAzMKipD40FpbHn5poPj5eOT//E79BZKXw5V/PkrI1 WcXJmQXxAhlWoMCDyf8dimgfSHzqQfajY+85UX1pOLwAi2Yy3PHEYC6ZFu6T XZRU3VSysDz7jR1FpqP+0UlvlhgM9a8uQaAjACMlZBUFCSPc6dzWjmplinpp vru42jI62phTkvcPL3cfLk8cm3EOu3DfYFDha23vbO4f7BXXWiRaSnWVKS8v vqE+p7go2WTWWix68BmupTNkmOR0eXJKRHNbpe0yj9UPf4l297YVCYLs/LjG +lwLTOJdUJD4qVsUaFtRYXJ+fgJobXNHJU8R3Nz1J9k2kZyJ3cPdLiw3J4aL PeVdSUMJRUF7S7b/khIJsviQ7bRm3fWxunVBbmt0auH/foB64cV95MJEEkzf u+bb/8CZ/ttbUoq5EHnjblT/VfMAUAS3pn2wz4NFtCdjKptqRwesLlQ0TIt0 4Z4EsNNrOF/t/QA3gVa8uz46Ndlqbc5Tpkr6B+ump9oCRP6BIQGzs13bOzs9 I1M3asZlORubWUTxeRw5mhmBpoX7U8R+Y6ONGQWxRdXGtPyYt2QHH75PkBiz tjSQW576kvA2WEyUJ4RkF6QCwe1Kx70jo/DhXCdqEGht//joGey7dSOnYjDP Hxxsz063Q7Y2iPEViuvv66kaHW64CvCHnLRnOnu6K3q7a28kF5DzwhOin2I9 kSzAH6MjvO/TQPRjHyyiVnpN8P/bKzSJH/c9yuRbFORaS2ur4Yl6YYwqKIwt 1orcqH4AFyE0WaDlT4O8G7sQheHnhxdAx4HxESTteG1HS3x2+tz82NLSNEAF h4f7ze21+5/wIf9PL1BPd3Y2i4vT6usLKyuzPn8SvDr74dcGdXb0NvBVJIjg MU5AkvgTxL4Rl7qj9y40MRAtNviU6ZgIaSTsuS2Iuu5powe/spBwNo4cSxH7 Gi36H8iB9hcpVy8dovAZHeuWw25aMUlhYANICclMF5ssnppsM2ZreDKKUg/x Z6akRyZboutayjs7S+NSIkbhBAqwKvv9W4xwCjV09r3GsgAIQQAJwEL2wWwA fh74ksAGQJFdMPsVhv7I/wIUXW0AR/3hgUvJLeFrEkW6JBukkv0UIJ3CoW1H u/s7K+sbAIx9qk4H7QInGPJzLOVFNtvKOwLnjif+kR8JVliRkZaAhv3hSXQn sx3xzBcoKkEgcKcJF+a7bLbNw8Pp3Z3J27EwXUD37fXQKFKwwB0v9CCF+TKk gVx5IE2MfuxG8aXinIMIYOMqAjkyDE+BCVEReHIosZcwioBiOxRVZ9lusgQ+ OTllKWKdyILH/uS7XsTf3IMJ4tCRkaaJ8Za2rkqVQbO5MpBTZgSyTJmkvevv 9ioYRYqIukXXrhaFabl6iZ7Z2VFVX5sFgEd1hSkvJz47W69LDPXhvuOqSWIN rbo2d2F57tOR+SEFcY0YmxwoLjZkZemKi1IqyzM+6xCVmRVtNGkATKquMfMV WGWSaGdv6+tyB5m61UatK8vdje3ROdRZ0lj6ivjma25IdCdXpntCbqI2Mxph kLi1aEP+1Ts0+cyTi2Q3vu90oTX6w5525zLy8dc3FAJbtL62dLsLXSdGBpLL WJT9EudDV4ZHp8UUFKdTpByEhhGRiU5UjAsdZ0fy8+T6FFalL833gpmBLCe4 czxoCvJT3Mu8yrRqqxUj4FMjwnqHOidnR21/druvfr1SlnIUCnucv1BJwIm8 NCmhM1Nt5dUZ4+PNC7PdABqZiuJMRYaBwQZDnv4+6jk3SlBbm4MSkF/ACpkX wX4OFDSMPQJmFudvOhpXLVlaHNxYn5mFsh5D/kgV5en1ddkLc93DQ9aJsea5 2c6lxb7CoqSpqf5b1L+zt9fa1/OGEAhlRQFtxvq/CPJHUrq8Ivg89Ap+5I0D Oy+Dfd+SAv/bxTUlF4pr+Cyl5E8qyJJ5bWO1urkmOJz7BO35GOP1hhDw/BoR BNj34ZDGpieuP3jIztHxYVphFk3KeYL20JhSI5N0j9Eez7HeWAGeEUEbnx4O j4tyIXkiSVv+Cbx/f5GCDM709EhVlaW5uRxsth86GX794sicPTs/qdBzeDIc kO/CKCIp3E8URQJwSHPdiyaGL4d9lq4IlK42bbxIEydE/LTBX8A5DElgQbEh NT+2sC7Hdts4lL9kuaYCPT/bWJ+qbyxU/f/svfdXI8fWNvov3XV/uetb33lf +xzbE+2JwJAzCFAWylkIkEAgJIQQSIicc845BwEiZxAZRM5ZutXdoNEE2zPM OBzbe/Xq1Yjuru6q6qqndng2DIpAPQBQhKRuiYdURpyu7pLxseawGLY4hqvS BqVky7Mr0o5Oj03XZzu7xqPjg/duaL6b1vUTsxYoAnDIY1+qCy3ImyOyI3Jt CZwnKOozNMOOyLYlsgF2+skaIKGZr3AsXIj8+PRs2rDyM0rcHdPNhunGSItU PEMzvTnhk/NL5o+7/J2YzXsrG5MvMEwnqgAdFAGzEt1hJBQNPAOKLXzgQ/Xj BD3yCZQmp5jNOzc3m4cHs7AL0/0dEUE9zC0MqzPFNU0Z2qxQVgQmMJToxyG9 RlODFFiqGM+OxPJkkI+rMDowODoQICi+DA/l4kwKOoS93D/xC0JOOz07l6cV /MedQBJHeHO5JXW5m2vDm2sjI6NtHb014Fg/0mxY0DV2lBPDuc/w3mB8js/L b+ga+HxrCKRdySxRl9bn1LQWtXSUDg02g9cMj2OBhQle7OnOtiltyl1YnriC e8Lx0XZIdFZybt3WDsIC93UEeeyOntrS8uTu7tqW5ryamoyCgngEEb0DkArV FRUp7S1FGbnymLTQ84sz86fN3fkNhW5cj/GFib6xvtdkm1+CRjxPF9h5+Bnx RXplxhemfUfUesm5MMu9K9cCjb6zZ7z0hq2xztD+GxuaOjXn6vKzo9g+8rLw +07NT3vzad/6OGJC2cWVWfJk+Qsi6i7Azd+ZgYtNjVGmSz14npwYRmAkyUfo 48BwsocS1TkBAEOLFHnQ/UOUBKrYR5URdgUnKbbk4zZ/rM6394ybcKK04dmx wdHmkbFBXoyMp6A4MhwT8mN6+6rrG7O31ke2NkYDQgJK6jKzyjJ6+htD1UEP 0HaRCbK88qxHaE+LNgbiZyb52VExwWpFRlluS1/H0PTkR8v9xdq4ub4+3TaO z0x1LS7oysuTq6rSAEACS0Io76Susn+wOr8kDmCB6Vn99OwvueL8nHQPDzjS 8S9Jvs/QmJcE9Guy/0sc5K391JPyLABvS/WzJeOe+PsQw4N1Y8N/iAZpYWEs MT08MIztwyW4s3AIXfk7TFk4b2cWcWF1xfxu427vbtkE+j3BeMHneD3Fet4x a/m6s/HUCM4Pfq4MWcjv9jp/EkEqx2CYXF017O1t7e9vm38/gHRb0MnJ0ejk QGZVMkuGk8IZQ8JiGWDqQbKKqKywUBxEpn2beQT5U67mviWWhNFRkJyYla/K qUz24dvXtEKZdv8acPe2G+9sHh0fQkPB1Vl3T6UkmipTsRHQCNsfgxJSRcHR XG8OThQnWlkeyi+O40XSFBpBRCw7tST35uc/WeQfy+ubtkT+Ax/yswDGMxiN wFYtGkUS7c4MIYqjHvpQfoJMaXQ3Gh9RIt2CFj/6d56B1IjoNyROfbfO/PHV 0yVMjrQL2rywrtqNEbK+abgxXX3EEQlSbhlNpi2OXAUb2qpA6VYACdImeTMF 4NiexHlDYDpSBNs7MwAXnZwsHhzM7u4u3Vzfsw8j9ZBTUUESRYyM9aYXJbOk YY98aT/6M3w4JGwQFmZvxgJQJJDhRTEUrhROHy/DU8Xen5X53XRX3Mj0PF0a /70nqaOnfnNNDxbdiEVgfWVoYxXKFLOxClF8G9dGRZrIRwHetiTK/7igwSXm z/RgQeT84vTy8qKwPounogTHM8iRKKYCG5bEYilwY3NNPcPtm1urJ8erLR1t U1NdlbUVlXXlk1O64+OtX7/1J7w7csLG1mpcRvjgUGdJSWJVZVplZWoBHFVX VZn6nioJSYySni3Pq0zOLkvY3F63qryP33x8fgIThpsyQInGylrKbah2bh+E +b9Hr/2aYhuVIbPc5+LyYmJh8lPe9/0HgO1lhpXNn9x539szHjlzvrdn/uTO EUol6hQRIzj4f17TfnDkPHAg9fR3HhzubWyu/MLrfJYcHh9TosQP/d1sKRiu QvSGin71NsDK35tPHhxqaegodGA6v4Fds1zuYsrAL8JYSlA0kSvD08J8E3Kk iHba8kx30+gNEkF5cna+vXeUkBMFun33YBMxkmRPd0gvUwdK8XZ0RxeOe2Ak MTIpuLA8Q5uvLarJduV4yZOkKAGVGhnkysI8CHCLTVOmFaU9xnh+mCD+Ccbj Gc77394OUela833ira4vzlcWDbrhoUYAuWvrMjdWR7p7yltbC1IyIhUaPmiF weH6ksoExM3g0z+fG8gWajq/vACYwZbib09kvcCibcj+P/oSXhHQj10ZtiTC K7L39x6oJ+7MoYm5ez38/QVpozXjZkVbc0VzFT2C48GGAJJVN7gFSC9JfvgQ mnFr3Xw3M1pmFj8BGXZgg8yItlaWRHsalGHkR5wXLzayqqM5tRxSkv99bGzm P4cnc11HmTI9LEQNRa4hZjWY44gVc6chUSUKoxMEEXGsO3QUIo3jSFQMJDIL 4KhgBVkUQ01IDU/OkoWC42hyV1+9+c/Nb/yJgixGTk8OCsu0DS2lZyfbE+Ot admykorExtaShLSIqFiIGEqh5ucWxKhztd/6OH/j5ZhVnjE90cqSUBIyo6Pj 2BV1+ZZbvX9/eJ9d2fCGJAgMU4YnZIL5GgASAI2eoRn/csallhRJtMmB4TJX uvCxL/URiuZM4ToGcp/40b9xI0qTUvwFEgAh1owLOZVVXmzJxeXle8XAx6az c+PCyujy+uTy+oQXW+TLE52fb5pNJ+890c31HsBR5U01/+9rVEVLS5tO940r 7jkaQkcvMMwnKJojmWeDZz32o73CMsFzDo71ms37F5drtMiY2paqjraCo6Md qzf7VEEcQqrbOv/ljHmGZjIi5I99ac/RLKQeHqPIhBCpOjOcHo6C+Xbw1ing uQA1RWJ6YCbVT8HkSLxEclHVD16BL7Gsp/50FFfU1l2/tTEyPNqGQCOE3Q5J lwAW44n5Sd974576Mb91I8bllFse+BPlFgNvLFGjMKllmuTieGW2eGNr9Px8 2Ww2Ti909egbJicHpKqk4eG2ifEuUO6OcRRsq8v9W5szv3xni6vSr/onIG69 YEAuKIirrs6qqcnOz48rLtYCmFRS8n68P5jmGutz2tuKhQoSPsg5tSj2V1/z 5OxkB/aWXzWuEiMD39AdIDzAtpjY3KzYgVyRgHR7uiNFTptemplenJ5bmeeq +LG5KvMXDIy+tBg7FE8SHWaLYjmgealZ4cmZkoRUSYxWi2cFcUTcpAyJKjGk tx9ih7jfAHVycrBlXF5bnV2YGz4/Pz082Orqa3JhEl4S/Z4TfBENkh0F/YLg iw6h60da8yqzQzVCD56HB9/T6fbdIWJtD56nA8ORLPYF6CgxR9LSVUKT09v6 WwDYUGUVljc1pRZGlzfmWcpt7B4ghLJFKjJZ5J2aL9WPNAnjuc8DXzvAVJDg hq8pb/gqLiGM+72f613mXDKYqZ9ivcAj/YT3IUt4Io3syR1AsoHzpNxlQUW/ oUKZ2hp6O+9X/6abs72d6X5dDcQYX5oAAFJTS16cNiQhNQwhhQMwKS1HFqPh b20DCP15lNpg2dbY27mwulRQ0fHAG/USQ3qDZz7DYByxogcot8DwMKEiOasE GgGufl9madNtLNVGgJD6gujrSCe4swnv2dfuNEIobBB+euZtAndkv7Iyy42k PSOgPuJ/ToIuBBjJnUP8ztdRnPhFn8Z/rZh+Z5WgpVQz7LSpTY+IUfPjk0Wg A0vjOXINLw52p1ElhaiTRYj7cXgsA/xLkcBXJ4WKlbQQBRWcA86PgT2UouFL wGnSOIAWBABNGdbnzX8JDRJSSxOTXbEJAnWKeH5OV12XDlZDRWUJtY35c3OD za1F2jQJeGuJgtreXV3Z3iJJjgdfSkxGlLYo3bhjnJ0fARcilrWPAiSwjc7M i9QZQ5PTR8frABIASNrU02JL5LzCsvkx8RNzeoCO2PLYx74UeyL7pwC6P1cI YIM7jYcPCY/LTAHHWzvG07NzUljM8obRfNulbmCXCYgYxGS+zigr+T8OaABp XuPZzzFMbEjkySlYRL+zlIM9l/ZXNhZsCeyK5jqT6YwaEfPAKxCgIxs89DAA I9kROeBPUOL3noECZXxeTQUAVHE52f5BEVtb4wd7YOj77IxLFhLvlxgWwGAA tDzxoz2FFVawAZHxv64ETXZ2/2AJDQZI7+dIleEY4Sj9OJzS+te6HPK+h8cn DKn6FY7z1I/+LIDxf52x3qyQpPw0kVq6/G5Uzi1GWhtt7Wr0YAifBqADgvmH J0fmdz1Sfs38dGU2HRyfbubXav2CXUoaU88vNmBzJGisrcPDlci45JWl/pUl /chI56JhYHVpcAkGaYuG/o31qavri3fv9pGyTu6IRj8s/G09w5XTrqsvrkrT D7Tl56uKixNqqjNKSxItftoFbw/im5vy+7orZAlcqtg7tVBpsf78Wg2bxubG UspSu4a6PPhejixnhMnZnuHoCWeqRQCSK9cdgChUiL93kI9vsB9HxbOlvgnS CC+vLu83HiKXFFTUJ6XEVFcnRGskigRoOtamS+KSQoZHqrML5GA0i47nqRJD j+EWvN+oC6pa11vd2pzX0VY42F8/PNSi66kgh3OfYL1cWERfAQ1Mao8xns+J KDuquzw9cs84MTXVGRhJhEitEWIirpstzZ4dw8irSkrKjQR9uLw2ubu/5jnp VXNXUWVjoysNz4rwB71aEE0YHO/JrsndNM7mV1Y4klCQlTkKK4ql1TRl7mxO hCUF2965wbtwXB2ZbgCY2cFc32COdqLj7O54v8E8a0/DokM5L5A0tXC03ROs 922kPBH1I85HkSw/O/n4SPUpYtyYbGnLj9UEZeREry0PlVUmyeO5FscM0Arw PnRvbxIiHb1XEQsrGy8JASRhrAOZ/i8HT1qINr+uanLm1j/nDwQPBwfbMWmx z3Berz7AOQhAcmNgglVh8waIgMsaIBmNKyEKnq+ACmWk/Zlrn2K9sWLu+taG +e8IkP4YuXPDONZmSiE4hCSohWixgxRQ8D7UpeGgNkSPFCRUkAEQAntBNCk+ MSQKivGH2JMszD8K+GTIZ1vDPzjaM/9VmnJ/b72wLEGTKgZDa2llYlZ+jDye p1DzpbHM8qrkQX19WnZUTmFcY1tpSpYU8cApaKhu1nVb7tDcXrG8Aul+f7lC Li6PwaTZ2N1sWF0FayaxJoEcLrMlcrv1XS197Z0D7QCleDF4YE73YvLtSeww ZZQrmZFbURqfkwNaDtzh/PLyTrMB9kd3iSHARLw7uzha2dogVGkeeFMA6nCi CNwYwcUN7eD8y6ur2w/25vj65gwfGpOQlwX+nDYYHvmSAWADiMWFJkTSf9iT eK+wEBEBRhhBEEWFa5MmZgcB7ppeGILSwN1smk1bZtPFL7zmh4IApDnD3Gsc E4nLs/awAoDwgQ+FEBIpT45lRQS8h474cjwtzCetMPZXq9dargDmuLwsrGv9 H2fMczSTGqECr/a/briAYPaiQWeNjtZX9VvrY+29Fbqh6ubOajsamOU9dw93 P6dvwyjYdAQ3xNHewezm9hjstbVuugEjnvHgwDA61g0KgqOhh6xSM+jnZvsW F8dubi6tbnUrZ+enV9dXq5tL/SOd/UMdhUWa6dnRX8VskDr07ETX31xenlJc ogXQqKQ4IS9PhZAyQXipKh3xQYLTwyVNT/b2DDZTxF6xaeKrnyGteu/+1n/m 1uW/pti6cT1sqHZ13XWK7JjXZFuEaBqApQARxoHhlFGZgxZjPfjepS1ll1eX P/fkn1j05cVxVq6ioSknMT0sLuk2Ghfia9UGg6lZqYG4yJpa8y8uTq3q87OL Oz87WZgf0fVWdbYX93SVD+rq2tvLiGHs5wRfN04gUx4WlxmHD2U+xbm9JNuG agRtPWXUqMA3DEdXCMm4OLG8wrQh8ZkR/f01EAI36LbWRxs7igGCSilWxWam oTgkyLkuwj81P6q0Pv0B+klhTVJTRyslPFgYTeRIMaRQz7qW7PHJDgAvAfJ8 ywzJcbGne8NuRWhXFh7MuUgglQUgefNpACCB42d4H1woM0obhUApLx5ZHBc+ pG86P/+MSHzrmjcsTadkRWrTwhXQcjs0vygu7oPE6GCiScqIaOss1I98tp7q jqnVVNvZsr27T5WGY4XhQ2ML1s/w+8ut5XrbGJYcjw3jvSShPkpHAH60I/tF JEbPLc5ZU86Cg4vL87X1RVaUAGDUD68F2PVVYIAzFVXfWv4HvubfU5DazqxI DJIR3qODVmgEiFJIroFItsNVjMAwH0ZkACMSHZ8YGqakI35K7/V/yDcpntvQ UXF9c/VXaUrTztZ8frEKVAVYAVly1SGuR2AogHOIsPsGIe1uY1vZ2uaydef/ xLXw3Wnnppt12FMIyj+7vDahn9DL09KJoigY7eyK1InPA6g+rCCAH9A8oSdD IJKLAZ7Z2FrBCMN2D/Zu7wXfc35pST8xtrg6cXhoOL9YATPywsokNSL6sS/1 CYrmxhDlVjdvbO+89yQ3N9ctfZ3n55CHhkiT+b0XCSAHL474BZb1yIfiQOa7 0IXgAMA2siQaLZTs7S+40YPlqekm0/bN9Qac+X3jcwGSxQwYl5H2gzfZ4hBu jZEe+tDsSWR5Epcnw4MJAlIcwUnkEfVRr74Vydz+WaUenpzmVjWFa7OaeyGM 9xhFwwSJ11eG1ldvnZGMa6N9Ay1gH5Ml8RGQgmPlz0mv+XEC5PLNnc2NbWhN N786n1uX9/NOZnvwdmC62b++2oFh0h4EjaC62gSQcmtzDCoOgWRveWOGLAQy F+dwhC98//Pz0+n5saury+7BFqmWHxxDTs+WlZZqc3Nj8orUH0SP3uztrZ6f HQHYYImYANcODLR2dFTl58Xm5avCYun5MPkSQvFdXwvxWIItvyCuqanw6hri 8J81TNwFF3xac94Z/rTFiQ4MR3uGA10myayoCRCjHSDqyFsTmwPT0ZGODYzg o8X+0xZGoC9zsgC4UZsWkVMYk5AWHqMRvMtpHwTnQ4wwzPfu787Djnn3V3Eb Fkbn54aGBpugfNNdZb1dFQQx+yXR7yUc4C9LVen6GxQpCg9ugA31zRu6gyXr hx3V9zkBRQzjVdbl1TdmNXcUxOfKJcmhTAUNwEVbmoO/yC9SywFrAXo4SpbI nZ3pCtHwPfie7Bg6WhyADwvw4XsAdLS/NZ1UFBsUx8XCtYrQJsCk2a72dFc3 Fi4wjPMM74vMuYjFB+AlBzrOnooRx0vC1REJWaqp4UZttsqZiVemyFcW9J+C gd8TpFuOjPfJVGxQvSqYIgasJZHc3B9u6mSRLI5dXJFq/rLpHtY0Qs13/UdT ypggu97VzNKCTxATIGQLyzfEbHm3Bxtoi2+87J/42de3WiWhRgLZLk7jUqPs KaCZ/G3J7wMk0FswQlJmnqJf3/6HGJv+toJMKNMzIwoNX67mQdH6CbdrrvBY hiCaCH6JTwqNTRRGaQV0OY4lxaqTQvlyYlgCx6I4hYgC7mADWDKEx9JbdJAD 0l8ghM0Ev0WvrhZAI1ViyHtBfEhFxSQIRse7r64urI079w3JuTabjABmQDAJ wAzIrfpga2fWBs8ZGO0xmQ6n5gYfo+i8yDAvBh/FDnIkMePTkomhspLG9tPT rcurW4ciE4ROLzLLSny4Ii92KJj6n6CoThQowdm/3YmwSw/VhRYcHJciVKWG JWQqMgpGpmHnxttPD4Cxy6q23m/d8E+g5CYiZ6rwoQ/lJY5FCJUi/AOOFMEr HFtbkCdQxjtTg8jh8rqORrN5/+Z6zWzavV9t31xfhqg0P3h9BCA9C2B870lW pibqh2s4UdggOVEUQ7VWIoXHMdc2oKC8Tx89LGeCmTyvpulbN9xTP7oHM7h3 oHFkrG1hASzqR5KLEl4Q/KNSwwQq9jMs/g0l0Int4BeKbuhtPDo5ClIL0yrS wR2KmopDtKIP7w+DBNAvdkxQ8rIN2KAG2mh/Y2sUalwAkMybN9fraytDH9j1 BsfGulaXB9dXBqendXdZKU0np8fGnQ11VmRBsbq1rby0MqWiKnmgtwbM0UVF msqKtN0do6Udt3YPdIM9ayv9q8tDs7P6jbXJrc25nV3QOqbNzaXGxsKR4e4o Dae8KVc/1qNODEactPMgu5sW4CUAkIzGtc+qUut3v76+VhdqXpFf2dEc35AD /QQRz/CO9nQ32BPJw5kNcyUxXbAivq8Q3zbQc30NXfKF6AhUeF1TYewdjZvl I41W83MLVX19lcnpEZlZ0T09lWsr+s31IZNpD3y5R4eb93jB9fWFYX1zd0dp V0dpb3cFwBuOdNwtnyHJ71GAB1bM7eysFCp57Bg2FLzGdLZnONlR3RHHkicY r7KGgq2NUdD01S25LrDRDfHfhs2RTgSxnyiWkl0Su781WdGYDVCWPd3Rkels R3eUpoqHR5rrm7O7esu3NsaC4jjgvx58L3uGI7gJlIKN6ewXjKJG8MCkbEuB SHgChLQwdeQLot9PeB8/IX1QV9PXU9HTVdHZXjo93pmSp+kd7PySqXdn1zg+ 1Z+UER6h5CWmh9c3ZSrfHSqROUKdIgIDJphTGlpL7l2atQbmfqmHv7Igtpjz My8+DQJId1qg50QU6A+gzl8HBryhogNC2VmVxaX1xTPz76e6A9cyooRPsV4A 1roysa+s/JdeQbn/AkQx3Oh4bmF5Msyn+oe96N9NkDbq6muAAvYhdqMga6gT oWKypRhBNAlAICgdSWKQKimEJvGTpoYkpEvgMP9QuRoi04bxQzCAEOAgTEmL ThP9NVAuMlx39NSAJQ9iQH9HXZYUIlOx6po/TmB1L7kBAAkCGKYdSLdg2rw4 XzFdryQWFoTEJcDGMmNpfYUrhatKUtrgmFgejxOtbe0bkqchWUWuTW+tOVDK dTBuXVwam3o6lJm5TFmcJyv0BcyJ/RNMnfRTAJ0uVcRk5ICbNPUMmhCue8hp 6QDsYjLyKRKZfSDfXxAJkNUjHyozSulIFjz2pQIg8YNXIDpI4s4I/taNCG6I 4oftHxpMJiMM7XbhhfnndQDYZ+pSm5P9rTvhGcyT+ZMV3dMziFecQgyNGh5p 4kZhIlVMkZJKD/flSDE8GY4uQSVkRb5ttM8o9DY83LCyBmrmqR8UMWdDIoJF XGldYXFt7stAR1uKpyvb9zXZmaOI9QumObIcweT1hu4QIMK8ptgWN5eASVlT pMWIcW2D7eZ341Os5Orqcv3ycmV8snlipvUMNCusPgINenW5iiis3qEdXtF3 9zSVVFbMzw0Mj3RfXFyAUs7OTzJL1QXFmr6+Rl1/c3FRQkNd9kBfDZidW5sL ysuSs7MVPT11ZhgnHB6dMsSJHV2Q5/ny0oBhvh/mN+4dHm7f3V1ZXt04P4ci 95Fcb5mlmrbOqo6Oyry82OrqTMjJtkSbk6PQ6zvMd/5sn4s8D45OXhOxdlTX hFyNJif1MdY2MkWMFRFtKW6gSu1oDk4sZ1eu8xsKxpYY9BLLzq6sB9fde75D Ct3Z2YyDPSetv1YwNMniuCUV2p2tydbWglzwjlXpiwu66ckOAE1hAp9BsN/f XTk5fl+h+gtlnZ+dbG4sGRZG+3qqhvtryqoyHWhvpzYAS55gPJNy4uOzpZ4C L1eum3eQNz4M784hIK4mtuSAmpaCxcX+2dkegMABKHLluls82DlKZntvxcoS gM36lOI4vxA/REEE9u48D4wYnVmo6u+rWlrs39oYF2uDQGX6BHnT5RRRQhCc Aw7Urbsnl/CSCBX0BOslVIpU6crHGC/wkOpMlb6/HlZ8lXe0Fi4tTk6Pd50c f6FTxM3WtpHACXnkRBdGSNs6S+NBQ0BwCJpTwKZNDwfzhTJBEKMRzMFccF84 R/x5Jhjk8zg9P5elJ/4Ek4VCPJwsHE4Y6EjH+PLwtiTfR/5ugZHBhrX3yWyR tczK5vqPOG83Ft6LQ3BhYB3omFdWAMmXiw+L5YG5pqOn1vyPle13l+vrq8Ky xGj1W2+6GLgbJ6ZHJGZGihQUajgqKDpQHscJkZOq2kvbdA1SFVumYvOjcBGx DNDtAX6IVoMWZEMRcEpGeWPuH/1OX0FundiP91OypAi7uPIurA9KPxfPzSmM LS5PKKvONH9FdZnp0GyCvSMgi8waFAO6Pd7TW2VYHjk/WwQT2t7uuBOJllpQ AOYAP7YAxRX1jU7dmN5P1rO8sbWwsrZ3cHRwuD86PaEbHVFm5rNkShsCx2K0 AntmVAxMIPnei0Pb6dl6YJgMI4x6Q+I/8qWAY1qk4gcv8lN/mgOFb0fiejBD AFh6gWGBH9t1rfClR2YTAEjbMMD7PKoZZKDo1Q+50UOewgwGENfTHePBI1/a fzxITKlidKyhtC6rvC47MNSjqqkgPlPCkPgBmBSfHq4f6f7VUn6u3FXjFpij YRpMUBzlOQ7tzMQ4Md0dGO5OTC8ntosjy7VraJCh4NjS3oCpB9Z+OIGZyCvI Z255TpoeBcCSpjDBdEsBCsnJ8WHvUNvgUGdHX31pbVZBsVqZKiQFe5TVJoGK gpHkJgKDjw7nlz/I12BcH56a6uns6TQal8EXurZmaGwsHNS3t7aV5eeramuy kWTHJcUJdbWZlRWpRUUJMHlRKpL1eHN7T6ZOX1ocWF2+dWcCewCWhoa7dIO9 PbrOi4tLy0iLaKiWl2fn5kbPz09nZoa3ttYAXmq+F/hHVGexWcUAVD/0DWxs q2/uLtAWKMF0TwxjQbFdIgw7mufNx9kzXG1I6Afe1Fc49tiswWy+fyJOpNDp 2RHErGadGxF8tuqkULDEGxttWV3SI4QG83M9AJcuGfrXV0bXV0eXF3XLi/1L Bt3RoRH6ln/F5R76797u5kB/3dRkn36gKb80JSoxys46dh527HFlEfJrilAh fi8DXd3ZBFwoEx1Cd2HiX0C6BV9XjqeXwBtsMFx0sQT3efA9GPLAhqbc9s6i 2pbc8MTggFB/yIgGABLHzZ7hSJGSFamKsATp5upIbVu+E8u1Z6A6KjVidLxt ZKwZUh+F+HkJvAC8fx3oZ0/FPMV5haslipTob7wdpanq2Ymu/r7aro7S/r4a XW/V6sr0xFj3wcF9gk8toSADA+0eBN43tlDOuweObIEkNDFdpE2TqJODAUzS poVX1KbGJYVW1ecsLs/er4n/zIIwqzTrun/Eer2hYp4TUeggEoCICo0wPSe6 d7AzNifVlUWqbG+6gXLvvWNrAPvMyhKWIlyeEuNKDyCFsV9ZcShBqWqIft5c glzFSs+NOUWyG/+DkX4vQaq6rqkQABuLT51SK5SpuXI1T5slrWstKSxNpIeh MsoSenVNh4d71zfXC0vTjR0VpU157V01qdny2saC3GJNfUvx0spcR08dEiHy 3y5I19UNtkmVjFhtcFJGRHJmJFiKIgyZYJWqTZfMLYxW1qZdXv5Kfo17iQkC S+aj46PF7q6amyvjwf6s6Wbj8HAuMy9xZn5udXOLIFaAaWVr95Yg8fzi/Oxs 9+oKrASPVNm5AF3YErg2eM4Db9IPXqR/uxN+8AqElSS3HErgz3854whiebBK K9YkTy3MIksheBF/o8rK8OaEgw1AKU9WaFx29hMU9aEPxZMlIollj1FUi3oH 3BMbEqnMKBybGTabd2+gqf8+dJGI9kCTV/7/2fs/RzNcaEHfe5LA7PkCwxar lK9xbDsiL7ssA6CF1t661ELl1fVVhIbDlqIFCiJF5FVanXGfWr5Td3hxwl9g mK/x3B8DqE5MD7Akd+a4OrPeLupTy1MDRGgHS9JPtpsjy9lT4A0AEl5CeEW2 yW8osNxVN9yRlCUVx1A5EWh6uC9V7AVQHNhYkQGyBO7ikg522QIVZYR8kLbH P0zuuTDfv7Y8ODPdOTI5azBM1dfnt7dXFBWpq6szq2uyaqrTm5vzmxrzrBOF gHk/vyCupiFva3fTbL5aXR5amNdZUmKtrw51dDVW1VUvLugA+rqAs2JZ7MIf DrkAKe3vf/akiXw1DV39ANCC+vzOkyJUxm2tj2ysjqyv6MfHezt6qyenOgzz A35BzCcBaNC7XmBZpDClI0U4Nrtg/gKMBB44CYo34cOaireacIijLCWsqjqt vbN4c210ZKihoFA90F+zDvM5WNU5qKiBg/3VXy/pTq6uzqsainx5gc4M/I84 71eBVpHdMDoCQOgZ3tOJ6YskaHtGgLyPHGgYFxYegCVNZmy3rqagJsU7yNuD 54n0K9CpUMFYdXZceU32wGDtogFqQWwYGo6Au83w68gEt0WBEknhXE++b2Si qLe/IassY3tjXJwQ9JJsy4xm+wT5kKPILmxfMMP+4O8G0FGEJuJbH6e2gd6L s+PpqYH21sLR4baJsa7lpcnrq8vPSlN7J7cu7gnpuS+9OE9cbzPf/eDIpguF KZlhGXlSPEcYJJVU1SaWVWhrrSgL/mKCdNqJ+dnneJ+fcN4COT9WGySLY4Pe 2NR+m+r6o9klEE1a5/Dg3OJMQqq4tK7IiUX6EesOkz5B4YdQEGJggBMdm1mY UFmXvbu3Zf4HIP2OglT17v5WRp4SjuiHjGVKDcR/GB3PDZIRSBJfTUG0frT7 8GcC1ZEmu/kr5hYB+/2D3eGR1uHhhonx1rHxluz8GChGIym0piE3Uknv6Km9 ujj6bQCS5TGQKezq8mL17HTp4mL/4hwJwDGfnJ7dnQPt5al5pLCooFh1qDpB rNHaEDgAYABI8wRFQwLQ3tJ0BzAeeJPJ4XJFWqpEk1DR3JBXXXNwuAL5AcHN 2DXY484MxYdGE0RSrkKdW1XmxRFBrEE4tkCZ8AzNeHIHtJC7fecR+AJDX14b N5u3TDcH99N/I2PF9t5BTXtfa1+fbqAlv7LUnSFgSIKmZjp79X1oPm5kCqLh PT49AmfmVSZTRJ7syABisGtWWcI9Y8PvKtmLHebLlTiQBY98aC/xOBcuEhb0 dl1vS7O3pvEBAAms5TFhuO6Rbnee5zPii5qu2pmFsaT86MQ8uTwpiBrmExHP ioxnBysCeTI8wmkZHEPiRmInJlrhAEPj9fUa7Ji0u7k+Ypmsl2G1z8RE99LS 5MnxDrzivB4caC0siC8u1hYUxBUUxJeWJCIuQ+XlydYEj6WliVlZstGJflAV bV1tU5PdlhsuGQb6dK1rKxBeGp/QHexvIN/sNcTefGOp/y9kHUE4pg6PT2Oy Mn7EoJ5hcW8oxInJTlAueACAkYxrACkNLRr6YzKUL/AY0JFsiTyAvQFA3dje uXfRyFWT08Op2dLWjkJ5PE+dIoKySarYiKNgT2/F9GTH5HgblAJjsmNIX/+e 6xf4fXK83bi5tLQ0c3X161EGCLZcX5uL0ka+DrzNFGYDbchxgCMdw5CFurJJ EOMfFWNLCYCZACFPaTsq2p6G8eGTM0rT00uS6HKK610YmhPL7RUJ9RjtRY7k 7Rknd42TaaXxr8h27jwPN9gG58JxsaN6vQ6EZk+AkWzIfpEJUic6rqW7Kjpd +pryxoXlJ9GIUvIVhTXFL4g+TkyCJjuho6OsvLHcjopdgq08i4bx1ua80ZG2 tdXZ3Z31+1a46fDoVNff4U3k/68Nw5Ia+IET60c3lg+FT+CGf2vHdEKzMnOi tcnRXb1d5r8EOd7PCViy9YwMNvZ2dXRXR8dzBoY6llfnT+DB6hfe+jac/PR4 cXkmubTAhuRVVFvoxgl86O/2DO/zGO3+nODzPco5Ph8yVfwFmHP+6wSp84Hh ziglM1IFDemajAi5mqfJjFSliDIKVZXtJdZnmt+6Jbyz/Pz0oK3/HoGdDU73 VpegJIyb66NgRa+FomP4nb31I6OdE1ODv+PDXMC50uDHsgqUO7+44CsSmTIN LiTaixPhzZH48iQerDAfngTM+J5ssRs9xIkaBPDSM4CR7iDNI1+qD1fMiJBR xBFx2UXppTXa/PLVzdvlSURSNjUizj6Qb1idAVNodFrav92Jj3wp/JhET5bo kQ/lGQy3EMT1HAM5CNV3QnG7l5dfTXl4DZEemBcWpweG266urzNK4soaIB0R MtSAyb2oJp0ejqptK+7ob/hCzTO4cH55bWR63obABWDSk8PyE9LtGc5u3LdE 0B/mFHNgOvmFBESmRzmxXZ6TXhU0FG3vbhJCvSkibw5E+o1nRYI9LjiaxIvC gY0tRSsThfn5cVOT7Vt7k0cnC2bzwcqGfmN79Gh/HtFgrC7rjetj6ysjW8aZ 8/Mj5OHArqa5ME4rBPinsiIVgCIkDB+Jx7dkTyspTsjJj42MZxVVp4Om2DaO Dw23z8+9VSJtrA0heGlhXre+CiXGWlxfCNGwDo72kRhA07ssAferT2Q1nVhU +sAPmuvVOeqNO13N8iJU+vLSAABLB9vj8mTt916BoP9864ar6YBorL48hdb2 9vzZmSEtRwoWMhU1KbWNGZpU8eBQ3exMF3gAJMv82vIQOLBGR4sLuiF9Q31d Vk6Osrw89eoT0sHfmuAPjBmF2hcwyx/C6feC6GtLRpMjBAGhnOiUmNgM1Xco 16dYr8cYz2d4SJX0Cj7zEdojTCsbn+icnek92pmRpYe/pr5x5bo50L1syGjk bppcJSOa6h3kw1LQADqyob6BibhdHZkerwJRiHrBhUlwpGNfEFHuHKIt1eMJ 1j0qUdbVVRWbqnBh4MCDUSKFXIVocGyQp5K5cwKPjqD1C8CB3Z2lg/0N9/aK R1oqNqX0/3ng9287+qM7dHSLkRxZ/3nD/NaWAY6furKdMUH/eUPLK4fzHf8Z 3Kp/Y9nYXEY8sa3lF17b8qFlV5WOTA3PryxSokRV7c0ESVBUmpYmC/MR0PWT 48hH+Zs99T/ycYGzYJhm58eSs6PFcczGvtqLq4vZxcmTsxOwVEfO+QUvzb92 k8Hg/9q4Ob1k6AfDO8BIFdUp6uSQ3r5ayym//0NZns0MA4ahqdnmXn1mRUNU SmZQbJw3R+xIEdgHCl7juQAXvcZzXmJZYEOosJHUt0/96ADVMMQiYZSEGiKQ aJIS8iu39245HleNW+Dyuo4+M5QDZQMOIiPhQqO5ioSH3oGP4bC4hz7kB95k cNsfvEiPfakAoclS89eMO+Yv6xImmO0ZGUUt1pbF1Tllmvj84txkJeD3qbmR +9fixySzvKFjsN8vNMCbx7Sl2tPkdO8gX0c4hvrDzZHl7CXwIUSQwMFrip0s Q75omEzIkImUdGumJgspAVuKESmpGdnRjQ0584beoanG4emWq6vNiflO/WTj 6GTXwpx+0aCrb8suaXhrLrzVjcyPSrW8+JRQgJHKy5IrKlLAwXvpZctKk0KU lEAJqkffatxZjU7IbG2v31wD4ORtcBxysLasNywOtOjqKNKA6vbS99rLEkB9 j8U+0nBjMwZnqtCNQ3kdiKptLV023LpCWVRkADLNz/X588SgH37vSRSqUi4u r76GbsEEZ2Q+XlwaiVHzaxrAovuipb1Ar6/b2ZoCn7AFK3641dRkFBUltLaW Li5O393qF0u6ZV04KipPs6cCSBMAUIozk+DJoz4KcLejBAjV0TPzk+3tperM WEVydKRWig1lviT63eqayAFODD9aFDU+V55WEk+Q4BACBBuK+wuiny0FYC3/ H/EunGjm5GRHSV02J4apzIp053nAakwXe7ovQcQCAMmZgb9Nh0pEPSf4oYW0 Pl09Tsx74O8O5aKl45zoWL9gJidG4s6l4MWcEzgpPJCV5amRodbbsI57VDRi VJpeyCxqCFemPnBiPHbhWGOkR86sx87QHhx/b8986sZbWv3rm4esXYzuJs3P jqtd2zIad6GB9OISogW7gbLMnP4GD/uPfJ6cnJ+cnB1/+PtfWCn6iQIpas4O Ly5Ori5PV1Ymh4ebT46MnxXa8zvKNV8Z70Dm2xI4T/1oP3hBMAYytPnRbPAc RzLfDiLoZr7GMW3xLDcqz5ctCOAGBcdq4nPLatoRMmoTLTIuNgvKpgemLW50 4kOfQAdykDwt/6Ev5f86YSTaDGyIzJMt5kRrwR4As/TSWjDHAeA0bUAobb9K tZgsqunr66sPbbgWveVX6Z8wMIOKGJjs9xH6ZVXnegq8sWE4N66HtWXtI3lX YX4bAKICpZTamuyMrCiRkoKAog+3UCWFJ8PJ4riF5Zr67nySBCVKoI/Nduzs z+mnmhu7SucXh7OqU0gSX0WmZHxu5O4db0Ym+0enBvIK4xHdUXFxAsBI7yUH KS1JFKvoAcEu5AjU+Gz3zKx+a2Po5/DA6vIQOxpb1JiDvP7QaE9Vfd7E1ODU 7HBZVfrV1eUvVdYvVqMZcsZYDIlPeh2IfkXE1rWVwnCo970HEMRK/uNJeI5m /ssJ09QLaWK/SgZ2i95re2djZLwfHPf3NyDJ5X+uKiDAtjYy0F9TV/fZTjKX lxdzM4PYEOZzAuo53iu7smhrb0eSonZlk95QsXxVVHJhBj9GJE2Uy5MVHHnI S5IftBFRP+G8H6HdHwS8eYh5+SLQDtFPOrFd/INxBDHbgQZlYsWFMqVaWVSK oqgmd39ranVJjxZBzkgASrHkNP8gKKjc4vVkS0E/xnhKEqLkqarHaA/EY/wV VJYfwEW2ZH9nFlGdn2n5WK6vLg8PEUaOL/1ad7cWcAwuoi9CEBF8AGUHfubB Awff2lBfeAnOLxAW0C8s7b9AEAvLPS68sSJzQw7eanT/uLi9m1/IJPq3kfdq AK4R0x/YKP/IR8Xa8GHdZCenR/Vdfa06fXV7W25VWVx2drg2iRcTR4mIxgRH eHNELjThGxLvNY5lT+K4UnkedL4383ZDsQXedJY3g13SAAeq35jqu3SnZ+fg AOw1eTmv8azIpBwnarBAGa/Jyz8+PVtYWT84gqxai2tvOWRa+vSGVYQM/2u+ 8tnZydX11fisPrkgZmt3E4wbewfbW1uQK8XXtcgjAKm8tcKGakeV0cBMBGCP E+yG9KF97T2M5MH3cuN5JmUrJCoGK8KfLUV/mA8FirZLEeUXxxdUqZfXB8Zm u7f3NgvqcxhynCxdMDrTPrPYKUsPBouUnb2t7KrkhMKYG5gED7xycW2GOjm0 qOitu5HFuGbZios1+QVxgmgSWYqaXGjOKM6pqKnYXPsIRlpd1i8Z+jr6a1Y3 V7RFsYklmswClURBi47nKTWCnPKU8rrcxtbSwWEor+vn2tqQgb2wruUFltbW 3bS9MVpcmzc61r4D82EuLQ5sro2091R7cKgvsJBxNqW46uD45PITrFqfLlbf iHl5eWJxvvcXdEdIhSwvDVRVphoMk5/1vsiZZc3133jZq/PSbm5u30KTn8GS h2JEAOrgHgS4f+Pt+AjtCfCMPQ3ryMA70PECZVh6YZImSy3RSAjhFLaCAbm0 hWLpUp4DHWtLDnBjEZwYuO9QrpHJ0UMjzRllmsBIojPbxTvI25Xr5i8kvSK9 pRMEoAsJfSJHCgFSsibSsYGzijxBe4i0KmsGoa8ioK2vrq/ByrGxrZ0rlgaF RwI49IMjBJAAKPrRnQurjxhv/ENzy1v/9nPsp4qlB5qsfvlDHsN67XmNcL9a JX/8u8mfChH9+Zrgj0fyH5WTs/Oe4fHq1gZHMvc7D8K3bvjvPEiPUdTnGKYt gesAqYy4r/Hsl1gWWK3/FMBAguhfYJjI5kbj+bCCMIJwT2ZIclG12ZpBET5Q pGdxohPVuaVOFOH5hfHD8DT4k/lNlhjG7bXpWX13d2Vja6EqNVQgJ3R1V/T2 1XZ1lvb11uztfTa/3y8LeIWjk2OuiocK8Y/KkOXV5bvDsUVuXA+vIJ9f1SM5 slzCVLzEjKjoBKFISeG+q0QSyAjBikChgqRKCdk0jl1eAYC3DZM5m88vzpp6 68ISue0DNVwVkyzFXlo5Cd/6cJ4c19RkFRTEW7yP3rGv3f1YVpIojCH7BTs3 9RasG+d0Qz1Li/qVxVs9yVudiaF/YU6vH2tNLJJiRL7+wX7xt9xBEF28DE6j Ex3PjVIyl1fnzZ//MSLjapuur7OvOr8qe2C4+XB7qqA6p1tXtwFrcvr1TXNz PYxI2U8BTFlqnic7zOL/9hVbE3mM05OdZYPu5wAS+N0wr1tbGd7eWqisSFlY eJsq69MLAnvd2PDi+hry7qbbSri6uLwAPWpwYjQmIwFJBevIIPiHsAMjg8O1 yqSC1KyyrLa2kpi0MNDBHJiudhCpIwoxwwGQg+AcRwbGken5nGT3BGfjH4xn yKmvKXavA31fB77NIQKg1EsiyoNLcWOTELJKGys2ZnCCIx2/tQdZba6+LJrm F9Cjrrc8LkFu4yt47sH+yZ2P5ypJgjgcJ9YzULq2gVjev6Tkf+R3FQs0uroy jU8vbe38XKrHf+Qf+RPJxsbyAZww/fLyfHd3A4w6y+ubZEmsv0CKFko9mGIn arANgYvEqX3vGQg2mNqRBvbgF+hHr8CnKIoDkeVK4fixBexwkSg6sqyuBgCt s/PbedmyRjg+OSWHqzZ3drf39g2ra3CY2y3d8dUVWPS/4zfydVcW4AW7IQrE vO5OKI9DdmFMTX3WQG91V3sJ+KWtrQjyoPh6GiREGTWxMAGgTm13PZJzIUQr ekZ8icSs/QI6smAkfjQjWhsUoxVGqTm8dzVIHCm0F6tompzwSA2zpi0ntSym a6j88hIgpVvOqL6xfq6Sw4/l6ke6j45u2RuQf0GZQQriAASqKE+pqkyzxkiQ 91FZUmVFKoBPZaXJITFUQTwZRl9QDr7Dg7m1lSGI8Aem/YFxwsDG6nhzd8Xw VPPccnfbQFNikZYehrGQKyJZdaBsjMmihZW57Z2NzzJiIs88s7jqROWKtYqp 6e6tjZH4bE16Scr25ijkK746vL81sWMcEyiUcBclfedBzCiHKS5/g0n08GB7 yTAA+8BbA8UB5AACSAtDs9Nd+3ury8tz15+fa+OjYv0hHB9ujw01JWTFkyVc iASJ4PsM7/ME4/kwwP07lCs2hFZYma0p0NrR3WCSbVjnQ34bFgf2P+K8XJi4 pFxNfEYULYrMiWXb0TxsKWg7Cvop1kuREi3WSJ8RfJ2Z+OcE3xcE1CvYkGet RwInixMUP5cy+xNfxPrnu3/emrmvb26MxuWymmZfcqgnMfiZp2Bv/xCMJ209 IxlFTWbzLSPrP/JfJHXdrSklRfgg2ff2NHlKVmZpXfugbmXd2Ds4BWD/Xy4g 688u71mODo4/Oyn830HGxnrLy1NPTo+vAH7oKEUsTWYosewyPyYpSJkiVKUE xSZxojWMqFhqhIIginqJZT30Ib8J5OFCImmRCpYsFuwxwRFujGA7IpchVaDY gsDgYIRg8BP7/NHR3thw+8H+1m/3pldXF/qBxp6u8p6uCrDv66kEGzjo7a5o byvq7CgBx3sQ4c/XUTsgGKCmq5YTy0N+Ob88R4UGiBLFfqEBDkyn96xsjrDK 6L0AN1u6ozffnS/Dsq3UR4i5TSAnsCLRnEhMaXliYn5UoMSvU9/aPtikLlRE poly61LTylNxInSIgpaYHiFR0Dp66kxWExDAS62tpRDTdVXaewCpoDC+qCih uTm/raWwsSEHL/LIqY6/uYFS493AyXCvLlcP92cvzle2tsYvL1bOTpaGp1sn 5tu396bocvTs0lR1Vz1TglMnhb6THiIhKCYlXJ4qiUsUjk3pP72ekdP0EzPV bb1rW5vCOIk4QZldljU41JaYl76xOtQ7UJdanDoz01nZUPHQB+IaBf2zqL7V /Nu4O46P9czPdgOUaAFIMFCEItduOTk3Jvd2168uz76klI+uDhYN47PTAxNj Xbq+2pHBhkFdLUsmfAn5YKNtYaIbgHBeEFFPsN6vSCgbiq8dTH3zE4BPWK+X t6lL/X7CeUs0kT09tUVVeWl56rKavGC1/CXJ/TmEsrxoEbyiykw7Kgbc5xHa MzCcI1CEurIIrlB0G5z6xIKysJ6C2Ij+8ZF7T20XF2dLSzPb2x/SAtze7+z8 anZ+YcO406kbv3kb2vwnNAf8Iz8roLHA0re6Sfcaw/wB5fIj2u85Gvua7PfA z9WHz3XDS//t4k+Rht6e/Mc+619OEBvm3Rd6+wWZrcZeZIRMKY1PK0sw/4yT yd/5cxsa6szLUw3p2w0LI53tRfNzQya4xoYmZ3Ghcj9e+HM0/QkKoia2D+Q7 kAV2RJ4NgQOAkAtd6CcI9+OHuzNCiuurTKat42PDwcE8GPN2dyZHR1q3tz8C Nk5Pj7a3V8HAuLFhWFud298zLi1OGDeXOtqKxkc7T473F+bHJyb6f4s2AXcc 0jf3dJb2dlfCMKm8u6sMOYC3Ml1vtYUS6ssF6WmdQ51VHdWmO1N7c3/L0vqS vwjtyHK2KJGcWC5ObLeAEBQ62NuJ5erEdrV/yx4JbQwJlheFZUUGcKIwfBle omKwI9HMCH9ZEi+7KLauLvPicleVH8dWsgf0HYo0KSbYPyDIhxjiBzCJIgFK Ei2L49Q3I9wab90QGhsLAUAqK0uyEB8BmFRSoq2qhHRHlRWpADf299RGp4bE 54eZzfsWsm6YasloMm2YIOLu7cn5jqmFrp39GXKkb3NfA7h1z0grKsgboCPV u3kGI2LZSg0/RE5p7KmHv9vPRi+HJ8fdI0O0yDhNVroPR/SDN1mWlMJRKP6P kx81IpIWIf/WjWBD4H7jhkcLo1Y2jOavbWUDe4NhcnqybW3lLS3k6rIeAKTp qc7lxcH5Wd3QYO3F+aH5LefYVxDw4UxP6tpbC9ta8jtaC7s7S7s6y7o7yzjy YIB/bN5axyDdDiaESQjju7HJABc9w/sSxWxVutJHQH1O8AU4CifmqnMSieGC p1hvRC/0MMDdg0tlR4u9ucTSqkyciPODn5s3n8KWBbe2lQ7pauLTlRU1Wan5 mh9xPgixACjoOQH1v55vmnUQ4fynAFGk9paX55qaiuBv3NzX11hYoJqaGjw7 3b++uTo/P9rZWbdET3zYcH/jcfq/VRBYOz6z9Mw96Ikn1Y6CgZWZ/jZkPxsi 4Sd3/lNfPMQdEaIam50z7m6b/t7T8deWXyIKODs/PYZj6Eqa8pjR+J397X+U eIhY/OKmp4dyc5UFhfGlpYmtzQU9XRUAM0xN9N6dCNDClkCp/tGf8RLLeuxL hXKo+UJgyZsjCgiSJBcVzC2Ojk4PbG7PwCaYPbN5FyEqNN0Yzaar9woFMjcz 2Nle3N9XCzAJOAAldnWU9HZD+wFd/WB/fXGRGmA28zufyddpMnDDtZXZwvKE pqY8XU9l91toBIOlzjLwVGcfC7r8WoK80drWOkA+rym2MDRydWS5unHd8SJf ngzPk+F8g7zc2M7UKLIb3wtxUnLlukemSbPLkmMSBbwoHDcKm5guKa9MV2dL 2dKA5q7iywuIOuPg+Dg6Uy6SkQEmSUwLVyeF3iY0RJKrxnGKypMvLqw9kW7G x/shRFScUFKsvSU+KtGCX5ob8jrbS+rrspubcnr76kI0rMhU4eGxwWzeMd1s 3GKk2814crIA/mXcmSRKPEuaIOrvy0tjcAKfGBqgfjfbIMBLmmRRaDRVU6C+ X+1ZZuG8mqZnaNZPAQwfbnhFS49/kAx00Ue+tG/dCaHqtIGJGXVeWWP3wPnF r9Mz3kPAY2xvzR8dbm5uTK8s6ZcXIb6One35lub8hvr8/f3toaGO6+t7Ru39 nIClxPhY1/hY5+REz8R4l66vBnTaro7SpBw1QcSyTmmK+AgRxNziigyOLCi7 OLmwPIMfE/aGinGgYf2EDG8BDWAqmBMyADkZFUTDijjJ+YmrC4OZJen/8XWm ycMHh7sG+6oGdXXQp9FbNdhXXVOXgxJQEW2VIx3LkAqqO1o+/RWQ/r+9vVFZ mZ6fH9feXllRkWKY79vbXTLM925szK0uD7W1lZyeHJ/eUge8ZcP7J/D5v1cQ FcbUvMGZSXxJQsEkqH4vMLiHzoxnaBxA2q/8WM4k4XM8qmsICj79p62/iiCO K+tbq326po2NxdnZkSlYb7+zA8U96ca6A4Jd0iu0bQNNhHCfLdj/1nrFag2W +vtbVlcXzJBd+ysPa/eX3x7LgYoCk2NlZWpTQ25TYy5YkAKgAlamkCLl4gwu Hyzlbs7PL4anZl0ZwY9RVITIEXFAeuhDgWcosS9PjOKHkcKiaJExPUPdN9cb x0cLlxdrZvPHvS9mpwc624pAWWCzGLw620u7O8sb6rNLShJaWkpOoOQyP1cD 96+Wi8sLbY60HSq9suddgISAtJGh1nNIifSb1D0Scjs+P+4h8FIXahgKlivb CSsKYMuIPNlb5yJGJE4cx8CEoOAkoU4BIgx47PSSeL4MF6IIZMPpRZo6K8Gt Rqf6C6rTtw92S6uzymuzIhOEEhXHkujc2rYVlyJOyY2pbbrNXYK83urqPKxB Si4pTSosiGtsyO3rqWyoy9GmhSdmhZdWJU1O9ScVxqhypZmViVXtmReXUCoT SHd0s3G3rQNUvL41xpCj08uT4HsfT8y3ObJc5NqQuMRgpfadJ1GCJ4xlRiSJ 8+sL+kb7zJ9f0eCrR8ZP4+5eUmGVbnQSxY/43pMI+iSs5+QU17f9booGyFJ5 aNxYm1w06M/PD5aX5zs7az5Kg3/z1XyhTIaF0dHhtt6eKoCOQKcdHazjRYf8 iPOxvUM7riwiKZwXk5m0uDjV39/Ilof+hPf9j6/LM4LvSxKUneQFEUoXYg2o 3tAg7KQtzC5tqmXHSLz51MPj48vz47HRTnjtUNoJyuqpmhzrJImYMq20qi6n uj7fMPcZdlJELs6Pjw/XR4bbamvSwdJsbLQFYUuYn+1bWRpeMvRtrk/Pzg6X liYjuY//kb+AIB9sdm3JI7SrLRkN6R7RuIcujBdYrA3F75k/4SUe8yPO040i PDiEvp1/lBhfLkgdHh0f5JckZGXJi0u0Bfmq3AJoVdLZUdU60OjBsSFFoNLL tUSJzzzE3vxO5hoLUgJt191dV1GRNjMz3NFRBVY35j+ugUwW+/pHdMtf00yw u7O+sDA+PNSKaG/AhnjjWKDC2GjH1SW0+kYSKs0tr/oJpI98KNbZQB75Uv7t RnSlC5WZWQ3dbRUttZllRQ2t5bu781dXuzfXB++Ve319BRDs3NzY0GBza3N+ zy06utXeQMvhzrKK8uSujrLiYk1TUzHyxucXZ4gj6FfRr19eXer6ars7Sq3L 7YVsbbcvDpDb5obB/Nv0AeSeh8eHc8tzF1eX2DAcPdxPIMe/F78fmSgUqWj0 CIwLx92GaidNiwJXdfU10MTenChscEwgAEjyZOEW5FEPyfzqgjCWE6liASAU rea/A43u0odFxLLyKtPv8ofeSnd3bWlp0tbW6sHB7syMXj/QUFufGZ8mKqpJ Ty6IYUEmvKCDo73mvjonxvPC+uQb087F5er23rTZfHCnMNxb2Rwam20pakhe 2Zw3m8+W1nTJJbFVLWWx2mCVNvjDh1FqhR4wh/Pw9LD5vqtFS+vsHx0nFVYq M4vEmgwHctBDbzJBHHN5eXX9bgbP31JMt/kG3118WR18pZWO5ZX3jKCLbqwv rKzMjA63iOPCAf6xoJ2XRMiPGmAkrJiHEfPJUaLvUS7eArowLsqHR/YX0hhS gR0VbUuxUjfBHte0qGA/IQOs8V/gvSdmp8wwI9OwvqmzvWhkqAWsYubnhudn 9a0dlUbj8skR+MAvYDKxz3O231yfWFzoXV4cmJ/tGRlqhP24Bu7y1t0aK9vb izs6ymHirH8myr+CIKnPJeqsHzz9bAKxACC9wOBe4tEAHb0iQfyldjT/R77+ NHH81t7OfzU6sv7wTX8ofQEc5nBd31Kcl6ssLUlCPEuz85RpmdLCiuSweCY6 1C2zMokiDRiaGjDDs7MZ5vZpbi7Zgz2Bj04PN7bXurtqiou1Ol1TSYl26nMc R39r2dleXVub/9V1582tmD7FeoicsL6+0NaSDzZkBfqeIgVZMPb31oAR+Aym Pb+5JV5edKYKn8EaJCSxCCY4Iq20MCIpuWeoCw6b2ri+WNYPVE1PD5nfRTNI ubOzI+XlqXD8eHx1Vbql6G5Yc1VXn1VUrOlsL2lqzMvLi62vz9/f3bi6PK1u yG+FtCXXyFB8dXVR05h/fHLPEFHQZ7e3VuZm9UihLS0Fba2FJRWJCDoCwKm7 u+L867khfVD6W68bMBQwZcQP2Y0gDZIEJYqFeGx+JDxnKdknZyfgwtOTo/be uhAlZW5xanphDExed58gdMM145pELZDF8+LetWpZb+rk0N29d3xyjo7272wZ kHT1N/JkOLLIS5MdCf5cWJ4pqcs8OT3OqEjMKFdBPkim7Zubw53dqZn5zrU1 /YC+9uhwYXFFp9fXldQn7x0ubO5MxuVGrG+vFVVlShT0aI0g5l1dFoBqoTFM /yCfQCl5bG78/OL+OQfhl7fuZKAStntHJoob2u59zy+Wdz5D6+9xem7x+OQr 9Ktb54HT46HBptGh5iit1JGOtdYFOdBxjgyCPQ3nE8SwCUQFx8sGJoZPz05n p3Ud7aX9fbVgT5XwEFci6+1hgNsLIgolZOZWFSEFLS9NdbQVgqXTwvzwkL5p e3t1QFd/9QVpIsEgvLr8lkTL4uX+Tkrlud4lg864ObW5Pnlw8NUiJv6RP0qQ 5pteWA0MSpDE5T5F+wBwbkP2e0220Gr5vySgnwcQbMjol0RUUWON+StRvP55 5A/pw2DizimGZlvExbQA9qbIK1Bl58aI4xjxBdEAHbX2Qy6jiBpkd9dYV5er 13eA40nDeFAcLSUrqqw0qaGhAFxuMEz+US9ikdXN5dn50S3jEhiawNqtti4j ozh+ZLhterJ3H57a3pOPKpp++RXAfy8uzg4OtqenBgAaeQ8gAdjQ3QWFwEO6 lPaiwf6GRcM4nHsUumdEYjaSMe2pP/0bV3x0WhZMYQRA1NbN9brpZtNsAsgT LC0/blkD2ObwcKesLAVgJNjIVWGts9KkiDNy5ACxZGRHFxSo6+qyGxqz80vU MZqgnt4K8w00LJ9dnBeUp5VVpV1dXX1JS4FLZ6Z0YKHa3Jw3NalrAyvW1kKA jppbC9c2Fs2/PTPVrGFi3biiyY6ihfkCTPIhRhIqiMQwNFqM7Z+A4L1lnb4H +9FZ3+rWl8wwGRXP+6jGBkoVnRCk1AhkcWzD0oz5A89hJMbh9OwkREmlhfnQ w30rmws+qN5D0LiwVvBwZKyRHYEWxVK5kdjCYnVtdaYmSZyUE2E2b4/NtGih 745AlTPishX8qECAyqyfBNmkav4bugMrhn31NULgvzpX4VcRBLzt762bzeeT M4Z/vSTmlX+dqDoYGV6fn59cnJ8MjPQk56hcmPiXRL83VMxDf7fEopyT09Pl zfWihupZw4zlqtmZwQFdLfi0+3srk3Pi49KV3jzyi9u4NkiJ5B/CLmtpmF9Z six7d3fWwTJqbnZofW1+bQ3iKzg6tOT9uU+F35iuDw7WEUqE93i0LPGAcB5k PcBRACatrUxcXp7eu7h/5E8iJjiBwsXlpSRZ/QTtaQtTsltvACC9Dgx4FegH gL1+Ckrp+Fuwc/x2gnwvW9vrI6Pd4DPZ3t4YHGxb31zWjXQuLE1/lVHu85/H ND2lL7biAYa9TNWlJVphDDk4niFUUUub881wElJwdkNXZVauIi83dn9vq3Oo lRjmnZguAeiorCy5tCQRSZb0B/qGQYoFk6mxozw9T67rre5oKwJYBazdCkri GhqyezrLutpLJiZ7P3zCzsHRLv1YVUv78LgeIbr5FAEAaXi4A5RyC4pgdQrY +nurdD1VHe3FnRA1UDkYG2GABMFLUPTyhlFbUPEERX1D4r/Gs1zpIcsbK9c3 OwAdmU0bZhOEkUw3v+LE1dNTV1AQD9m2ut8CM1BcQkpYUroEwKT0bHlHe0la dpQSMhjxYjSCsqqU8bnRipbq2Iz4CCV9dXXO/AUUSQg8ODk+SMmTd/fVXl9d rixPGQxjqysz5xe/ldvDrQ7NMNHWW3d5dVlUmxEcQ/5o6pBbEshoAlnkXdkC reXvGv0t9P0w+Auck1OkjgYYKfF9DZI8nhuXKlFnSAvKkpZW5szv4Op3Aj/b eutTC2Pnl6YRVknIY+q2oAuTacdsOr0BGNi8PzrZzJT4s6WYUCU5NTMqITUc YLzUPNnAcE1cekhEEqe6s3xje7Nb3y6P50jjOErtLS5SqPnR8VyFmifXBvcM dy2uL371Sv5jozBAyaDK9g9P5+bHuztLyqqreWHS/5+9t3BrY2v7Rv+mc67v nHN9z/t+77O1LrvdNUqhLW0p7hYjIQSXEHcnEFcI7gQP7u7u7pw1MxBS2t2n e7el7F3ua65hEiYzS+/1W7emMuhPfeKuOYc22I6jyn/RV+6PDjaTGHG3/d48 CvO5F/imuLrU8f9gkmxurvX1NgKuUlVpqK4y1cIYqbHO4n9i2g3FAfB7XVRT 6VAROC7KynyjreDLuS3Asq+t1dFh2+R420eCkCMwCVxMTbSehEr4Oy2Xl3SG EA5mbbH9+tbloYO08/QI8XwY6nXH701AInFr+6+LKL8VHc+X5XmNmpmXpygr MyoVNLDMSeQpajVTaxKMTw4dnaP4BVEtNDSUgDIYDAKtjgtHbuECwMPNSAYA SaGgFRZr7UUqqsoGi69eyykvM0lN3MD41xlKarZZotaw8nMzRWqaMk+GKCzO p/wfrBE4r68tVZTrKir09ScmxI31eQAmIfbD9bZCB9Mp6P72vsFr7mE3YJPp 255hUTR2a0fDwMjgH3UE+H56erS3pwGwyho47I+tPre329rZXoaAIlOWMCtb VG2F7KUb6vIG+prsv0UG+fDE1F1vtLmkcnNrYWa+Z39vEnZlAuho+ehwA6yk H+FkSPMODXVZLJIzJk/QUWsRpieCJV6ckaLQMgAugmUOMSwBMZEVlW7g6bNF ZDaeLYyW6vi2rs9KKYu0z+BY3/rmV/RZe/+No5NDQhWFIiZmFavTRER0sucH xUdIGhHEBOhMIL4P9izypbUmn8zEABxyYpgdTeNFcWCNG4Ea0TFwNhX4nyo+ LFTbhE2yF1taimJpIUggpmhqIKgFVUhIV1LAxwwDzZKXPj8LCWNNOfKotGCa NCmJjqLzCACnieQpbZ31Xb0t4ozUjY3VP6rO352iU3meESnpGUxfFPHfDyJ+ fBTxyxP0ladoQiJlCx5vX67W0HN2dnfaW0qZMsY175dXPV06+qHMJmBTY7fC mpkZrSjVgN1Qa0tZS3NpRZmmsaGgtNz4Aht4298dCp0U5nPDx43IgvSq8K7j uHi7u1uIkt2uL/88ySqyiEzOzvRPT3W9Lz5yBEiwb2Dj1ET7BfKauaTPIDCs tnd2NAU5d/xfQ5lrAs/CpAfBXveg1MyBi6t/OvToOdCxQZFDVvd9OGcT8h/w dXoWPzNX0tJRazSJNBqW0ShEclkajQIAlqqq8o7OFyCB8/jEIABICjUjXUmF JUhco0mo03MNel5ububgQMcBLPqorC+UZqSaDIKiQg0tMzEs2UOtZWeZRCo1 E6AjU4HCFXsvtxIKEfOtJEjHBudrixMT/Y22otJS9RnrZYAfrOW6gYGW45uh jerB1to4X5n566uQO3C+jxsekHPZb96oq6+Diqobjj6kxgW/tdlK6+rym5tK YYc1M0BHiBdJc2OBSsOkcPDpCkpBQWaORWrJlgAkU1pq2NraODoxRQXvjkjl vMYlrm2AL5dhaASOpaNPxpbgIV2dtdWQds+CSK4G+2sBM5yf7szJl4FllCEg pjIxDD4RFjtEp7LxuSVaS644jR3JE8cmMfGYpGCyKEliyphZmAfl+qvZ0xzH 6jlJHja3Nlq7G0RqanDMC8J7ttlnAVKKF4keMj03cfQJGeKQNTG3SJPGwrKF MXTQegISQEdR5OAYalgKPcJokX1iHf9gmwCYwCwMkLYKyvSoxLdQJjiyL44M ha8kwDAvnhVGpAaCHqyrzQPjs7qlylJpWV1fqWutHhjq6uiyIQPpCDIFXD/4 pqKer0Sg1ipz+dsQ0r1X2Nsvcfdf4686Y667QClWf36CcvGLnV9cPPwKHut7 e7u7O1vWZpvcYkSyk5wKGw/2AS6qqc4aGmwb7G9pqMsdHGidmx4SZDJdUL7u hNBbfq/vBrz9LcDdFe3fDttmf+1+2d5amRxvOValjTYBFvQHYKlxcqJtd+cy 6fw/gcCg2tjaJLApdwPc7/i+BQAJ0u2GeNwP9H4Y5gkuAEZ6FOZ1N/CN2KT5 tnLgj9MHywZmWQTF1xl1h5ueaMmRy5QUJEkBnM6SD/BSQ0PJOaOjwcHOjIy0 vLxMc066WgMXRgdBI6RUFks6OFutlrqmMnkmJdsszrLI4vi4aGYYuMdkEqrU jII8RX658Q3RiSyLhbJdfLtOQXhmX6+tpFihz+Ij0MWOkaqtpobanPzCjImJ wVPueniQXZT9OBB31xt94lZ27Fz2s1tQcDx1d28X9of7wOvAEwBAgl+R3diQ NzLUMDPVDs7C9CRZJrm8TGetMICXFuZnFBfrx8YGDh0Cb25sbWEo/LL65l3I CggsmlswOpqDLj6NwNubGkshERas2rPV5yI5rabGW/OLMhAb49z8dLE8hcYl AIDEkSSqDRwaj8AWkqg8Ii45TGNgDQ3W3w9yL6mv+TxLpPOzbUAQTnNnXSDJ FZPs+XF0BEEOSkAKPzKOFV5kzfpTL8rKy6Rz8TR+VEiib2iCj1DPL7WVCVSM 4bG+//zj/0A7R4eQ6k2iY4QnvDkj+yLRgpFQlnGssLzyTG5m8uaHVDPHKPuf SKBeW9s7IdH8/3M/9NbzyF+fYq48PU1D//MTtEdodFdXwzmXant7c2K8b2Nj BTCDgf7mlZX5sdGe5sbChuaq6rqiwiJ1NCMuKB7tFO7rhg+vbYO8VL72PvFg f25ooBaRFFWU6wBA+qC1NgBIUxPtszM9B5+X6+2SLghtbW+V1td0DfZHc2mh KYn3g9/e8wm+/jzi2huve76BADLd8QyMZrGlZu3+xepxiF+Zy3Q5lcb1E542 PDkIPk7Mjne01/b1tuzv74FvZApKRiZFrWFqdRy1hnWa1FLPVakY3d2QOuZc uB9sFd/b0tVeX2krFsiTVWomVBiTUK6kIgbbOh1HD2fbVKqZWSaxKD0ZSwtk SOOyzRJwAyhtYb6qvDbfI/oZgRW6DouRHfZc5ypHOlaurS7VweGAKqHYiafG OfW1luISdQoHXVGba//JyGh3HJN6yxN1422Y3e/e7n1/3T38mnvw4OjHDDxa mspgKyPzYH/t1ERrW1uxUsdEgudwRLGg3QCGVKsYAIUevdunkI337vtC74NP QRp2w4bKMk1XZ42toajGagIVbG8t6eooB0yyu7uSJSQBdLQw293VVWG2iCAV mzCaBruug4tYKo7KjRodrpcYJHf83QfHR8EDxyeHHbvs49qob0vbO1uDo70C FQWd7PlxgBRJ9iHRg+PZEdWNJUefUBckNsTO7rZCx46lhsUzse7EN1d9b0mz 048gePbFqrC5scqSxGFTvOKZYZFp7xfbL4YREpH0tqHNigR9OjzxdYWg0UXN zvxF6FiLOjHzIiDpp8cR112wJ+joGCb98iSsraNra2u9rrHsQ0zmM9sEamdk o/dHNyB/FuYnAF5CSry5sTI+0jHU3zw9Nw32Pp9XgE8qJKDdndmB/uqRIVtp qUar5fT2HAux301s1zQ53tzTVTZoF5tf0t+PPtxr+wcHiWLOj67uYCvx8yNU PF1173X0z05ht19E9fRDAvML2N31HTUpQgJHGpdTrh+fHWvorH2Ove+f8DqB i+VLE3JzM0ZH+0ZGeooKNQBgQAdsHQ2gkd7AywCwxCxa//NZC/8yIeylf6z3 VdQTVLKnQc9ra6/NKVQplHR70oQTm22hSJ5MSY9XGvkWswR8o9GyiwrVVlux X8Ir7xjXYTi3+PsqjHNXFw5YKwwOsRNPD1t9XhwzNImHA4WsaS6bXZgZHuvy I0ZeeRN+1xvliI5uekbc9UH7xyQ/CyXklhoVBnZhufF9Ocn62tzC3HBXR0Vn e+nIUMNAf41SywAgBAAk0FblZTqzSQQwUkmJfvkPYo//NRcDuyaxo80KOfyO 91dVGmB3OaOtPnd4sB6UJCdfBooEmOTcdGd9Qw5sdQzZ97KFJDInKoGGqbTq wG0+pPAfXz/VFOYNDrZlallIDIeDE593WB90sWDSsS2cNYunSO0eaFOY+R8x QEJUbBGJ7lQxaXl16ejTANIRHDq+vCqnuaP+BeFVOBVVZivPKs9C2uTz2wF5 TvdAK4Hsm8aLjKIE4BzSw53GKEh829hWfXQSWON7o3i64ufHEdecj9ERhIuc 0FeeQkKkX55EsIR0nYknSE/+YHfs7+/u7m4hApMvOG7tHMBxLp9enL3zq9P6 2uTUREtpiUatZhUWKgEWGuir6eupQuRIACwdB0caa21pqVhff2f3ekl/Ozp8 l/ZgDN89MOqBogkU+XllDX1DE3fdCP99L1img1zO9/YulPjolA4hzUuFLINM 5eEV2aJUWYxP3AtNXrpKz5UpaRkKak5eZlVdIfioh/NaGoyCLJMIICWFiqGH ggg1/VVrkD9fVJj6Rrqj2BEZ2YKFxRlrTb5azczOlul0p05tegNfp+NozKLK qlwjZMsNBQTQaTlFZQaqNMad8KRzALL1PV5BYEtUcF1cl7e7d36Wgcjcn5oZ rSjXwabLZwFStdVUUZPTM9gOSqjPS5cbuXs7S2qz/I4X+oz46I436qeXQQlc 3uhwC1sWG0R6EU0LWlmDVtj9fWgXv7OzMTc7AGdGsAEuBI6JsWZTtpAtiuGI Ymg8AkccqzfxtHpOWYnmj/LGfilWNTLcDrnR1VgQjARHjWsG7BHxYQFlM+eI EICEeIhTufhMDW10uFGppUfEh9wP9jIW6vmS2PqmctBruyeJQYdHeptaind3 tiamhr9QSb8YbWyuFVdnJ/NwSVxsDCP0gwDDfoDbCJSAoipIxfZnRS76Yr2p zPxlC4/M7r6BdgovEoyrDxQ+1ZdA8RenJ1dW54m1jL4hyCz8Gzo+nBshHhMN rX2oOFEQkXv3FcEuPvrVCfXYA3/7RSRATfdeYRKoeDo3kitJmJ4Zc3zC4vzI xsbSwvwwQAjTEx1f1fDmnR3T4Slw+togBDBVAOCHR3v7+2rrarOVKibYq3a0 l06Nt9hsuZDgaKxpYa67uamwu7NsfnZgb+97BNj/DELG0s57Uc72ThZWsB5t bm6ffLk/u7Dc2jW0ubVzcYyPzuwmwBIzMTHY2dUwNztpqy+RZ6bRBFHBie7+ 8W5sSbzRJALoyGQSKlX0DBUNoA6TUShX06miaJ2OK81MM+TIxkY/38jhL1Jz sxXgt7x8RZZZ7JiUHDaREuTmZGSq6CoN6zhckp6rUNN54jhbR83e7g6c0gJp DYiTC3T0VFns1NRIa2s10jbnUQH49a0tZRVlmiqrETHOAdCovExbW2VubCyx I8+VtWWKmJAmFj0Jwt/1OQuQICNtHwxdyrQUSvBpfmQ+fnZuwlHqDlgUzIQb R4bqR4chmDQ+0jgybBsaqOvprszU0AEIAQeDT0xXknt7679edcG5t8dWU5Mz NtZnrTC0NJWMDDXAxkiNUxOdgFvOTLYbLSIKJ9IOkGhcgt7Ms+TJAGqicaPo ogSNgZ3Gwiq0LKE8NStX2t5V39pZz5cmtHfW5BSqxBnJOzubY2Ndm+vzHzbG +ka0sDSLTvb8YwmSH2KDFM+KKKm29A13/ilbKcfoBx9VuPxpQh41tzCdyEFj U73fLzyATAA4pfEiI8k+QaTnHX3nYdByEQjhpWvrm5HJ0v99J/DOS/yt59hr zzA/P8F4hhN5kthEagxflq7SsZl8IphcCi19bKRpdXl0a2tib3dqY31udrp3 dLgBCSg9MlS3sTY7NjYwesxRL9DQ/Qt0CLsPgIvmthqGgASLqZN40ngmn5Sb L1uY7a6w6ktK1YVFCltTbmNTnjlbMtDf+veu8/dNCKPY2trgSZOq64sWFmfG J4bAkVOgKq3MXV5Z6uo9do5GQhx/08L+B4ItA07Cgi3O5ucrcnLk3T1NA4Md FeVmgIjIvEhUqg9TTIJ81swio1FgPNFhKVR0Ij0YQ/FjiEgEalBaRnz30Oe4 Ev9pAiUHu4zm5kq+JF5l5JlMIhmAaqcqNj4AS+AjWEDt6AhJx8kVx+oKM9dW l0xm8dzcBOKmB0hbmBnNw4yND5hN4v7+9qNzE+0i9s/rK/19zRPj/XOzY422 Qmu5trxcV1Ks6OmBDDsPjp0Kj7KKjbc8Am95on52C77xNuw2IjvyQnRt4Xe8 sNhUAiblLSbVJ44e2n9iRCQ25I5OzSBvW1ud291eBkhpeqp7crwd0fhPjbeq 9CyAjiAzaVhcI8ogq42Cwa8WP9NmKxuHw/KsrizMz0GwDRYctU9NdkyOt7R3 FLPeDQoNMBJPEn/i/k9iCYi0k2uljsHgR1HYuBQGCsC84jIdmYnJK1LlFWuE 6QkFxZlbW0jk7W88GeGdCOSBrcmRENL8I8k+ZwAGAB64VG8CBcpaCz7mlGr/ WpCxryEQgJ94uLO7k1WswjkEAMfBJbdXAZPijUnxooqjl1bsQQX/+YR4jJZW tfz4KPzaM0h8dOUp5oYrjitJk6vJHHFMVi6/oDQTjFKAEASyhLra7Mnx5v7e qsH+GrAvmJ7smhxvhfVKzeMjzbaGIo2WXVOTf/R3bsADeGlx/KaoTEPnHecK BPudunpLV2cFmNQyORlSo4tjJZkpGxtfODrWJZ0nHZvUbmzmlDRU1+XSuQRx BpkrieeIY5NoYaIMriCdml+iP3g3DD7MGC/KQD/W6cxN9I/12r9cXltCxBSD Q50Go0CtZZvyM9RZoiyTGFFO6WA3sWPsoYMc6nNzM/QaNlkQlZoeF8PDviE8 eYa6U1hjOTz8y57Xf7oWszNjYH7xFKnZ2TI8JYAjiTMbRZCnv4Gv1bLNZjHi 43aCjrgmg0ChZvrGvdTnpoPrzq4G5Dnbe9tVdYVSJaWlvdZkFA68Z5x8zrSy Mj882N7b0zA22r24NH3okNVldmGuqMJUXl3iFZXoHBp14y0kOPrZLeg2ZIOE uu0V4YUPiKL4gvWXI8KHk6JZstyqprarb0JvekSkm/JB14SncisampYWBifG WgBbBvx5dqoDbGkBQGLAO1wot6mIJE5PLKs0LH+1Zc7xmWCBGIN20I0He+tg Nz031ZFulCUy0GzhO6Ghz+Rg5Yhi6DyCID25r7cGYCSAnQC6YwtjqJxIriRO rqbTeJCGLq9AvreLOJh/e4AEztaG4qwiFRi0MK44lcOQ6CEkRmg0LSg0/nVk mh+4SGCjqFDONTjhwrcrvH067x/s7+xuU0TE0LjXsfQwBMVFUfzjYHUhOAhk vyQ2GkCmGEZoe++5eW18e0IAUrqu6P+56XfTNfL6M4COIAlSBCmKL43hSRMp bDyFHQkGLZ0fxRXFqTWskmI14up+JqZ0d2eF2SzMypKOjfXDz76IDfjp3QoF 7R8YbmyqLLXWJDPphMRI+ywWypLAhEU+IiJiaWbqzGxHeVXW5BTkf/GPNOb/ BxOyL5tdWHYPp/zuHqMyF3Mk8TRYJcEQEOG+jmIKo+Vq6giMPS4mc0A8bdv6 msPIPixVamtvI/hY1lCIoQXkWc1Tk8NLy/PNzVaVii5MT9LBljyOSitEOKPV cqxVOcODneYCBZYeFC+IFBk4SWKiOh/ymjmJofRVawE9f35pNiLNV6hj4GiB oUlvEZGRwSBQq5kAv5VXZkN2Rw4lz8qWotL8qKJotYpRWXHsQD06PSzR0BUq enVNnkHH6+8/NUw6Xzq1ZPujO3bgBLJltRZTHn9sxKY2y+56BzNkciKdc8Mj /Flo+D3fcEyyPz7NF5Xkl0BHizPYd18Rr7iF3PFGAYx09U3I8MS0WJ9jKTIM DjYOD9uGhur6equLSpRqA5srjoX2cZIEujAukRlZ01B0tL9xLrU+mJ3pA9VZ Whwta2grry7W5Rh88JFyZSrzJAjz2YSnYBuenghQEFhuOOL47p5axM7cro9D 7gH/VeqY4yO25aUJ5F1fvzr/oargXNNcFhjtAtAFoqXCp/kTKP7YFG+WPLFn sGNpZcFcpCTSguNYEWPToLtGN75YKOO/Xubtne1NOEXd2voKAEhEJkaUnprA DAfFZghjaIIobKo3QEfCzDRiWkBEwhu6JKZv6BvvMs6TEC/CyZmFUBLvv+4F O3lGU9iJ+EQiS0xjCYh0OKgXGI0ZKmpnR1lBYQbgSxoNu6xUMzpsQzCSPT1Z c1OBUkmvry/9z2+9kIR0+Nb2NjvdkleYGxmXcvsFzi0g6qdHYT89irjhgpYp WNYaPZWDB4smOM5IiTO1kKJ/cuprJYy+pK9HiBCotWswgaEKIvKf+4XwpXEM viPrhkLboWIio1Kl84sXPVSsoVj1W8BPb6Kc4gSRJfX5Vc1lHDWFKSIZjIL+ vrbJyWFrpUWjZmq1bMO7GAl8VKtZdXVFyHMWVxayyrQxPEw0B1VYm7vzGdkM P50QoUq8EP8S98Av4RWCjvRGoVYHxRwoLtY1t1ZrYU9/u9QrO1tGZIYlc3F6 Lae+vnh4vD9dz8qzmliyeLmCUlis1UBeFepjZcI3XkztMAm62N3d6R5oXdtY LavNE6lpWfkKsIVP4WHYchI6yU+TxWlozAmKiw2J934WGPbYJ+xFYKhTQOiL iLBEZtxj7+irrpAC7lFA5G9eqBi6bH5xwZ+U6hcdw5BRmeJoniwxjR0J8SvE QELHqqw2GfLk6rzM8Zmp86nqyvLU3h5kZZ0kVIh0+niONKfQINeJaTySWJ7E dOCiyE6TJ4kTyZPhvSeRJ02wNVewRbFn5EvInXX1lpnJdrBD39xE8rB8y25F 7Nxs7dWRqT52gBSe8Aad7AkABkUcnSrAN7RVgXtm5ie1udIR2MXy25UWaiue XsA3CEUmiV9igLHUNDU3Obc4s76+UpyvAss9Q0jiy1KiacGRZL/wJL8ca47V VmityVtdWfyGJf8mhDTX/v4+Kk7yJphQXCgzW/h0PsER1QNI391VOT/T1dtj LS5SGfT86iqTI0BC3Li6OsqzsyW1tYXb2+fgev+nCEbL25v2rEYnG7p31CXg PDO3cNct8n/uB15xxvz6FP3zE/S1Z9jrLtgfH0bEUznmHJ7d/+JM+zAE0TxJ 7Pr6LPKsb1DFS/oSlMAQxqbhKBzQmySHLo7my0iPPdDeWM7c/Nw5CFL+Gm1u bYAtz+zijCJHEpTk/hR15zn2dxIPnVNprG23FlaalLBHWEdnfXtHXW5uJtjs 2JEGIpDR6Nj1TeWOAZ1293Yqm0riBDgMLVBfrJhfnvvadQe8SFuQocpPTxLg FUpahTVbrKbJ5eTqqty+/naNlmM0CMCBBGsyG4UMaWwqD2/U8yorsnoG2+PZ ET7EZ/GMcFBZg1kE7iwt0W9srF3ALgNrpR/xWU6pdn5xJizhdTwtNIWNQSV7 oJI88Wm+EYlvcak+RGoAgeKDTvS7/RL12Cvslivm5ivULS/UrbdowJd+eBwu yMwcGmxosJUODtg6O2vURj6VS0CsRh2lNJCiSgjBEpWJH8dL6x8dPjd/7cnZ hem5hfa+0e6+zp7u+mf+sRqjkCOOYZzsPsAB+KowPUmpY8KoiYTksCgq1Zos IgTjnZE1NTcXTE+0jQzVLy0ifkPfvnN3drYBysWmeIXEuVHF0YaCjBR+ZDwr gi1PAsNyZGLgg2Gdzp8O4SjlgxNDiZLkZ1hXcDyKcHpD8ogRxHE0XFYmjSpJ imVgOZLEl/iXz3EvnFDOQqNoD7bIPTz6mCD0n0qIWcXK6mZZZalckVZUqhLK kxzHJLgGeL68UjcBO5AODdT191b39VadwUjTk23Dgw06LXt29p2w2BeEFhZm TCZRW1vNH92AFHd+ccU/koaEhEKCQV15irnliounxLBFAFcn0d+brYALkVnY 1g6w9V49PLz0Yvv7EcK7ahq7/7/bAW9CCHQeMSopCsAkJPkRV0zCJxC8IghK HVdtYK58WgyTc6PD40A0y1lZEqvVsrIMmZcsrizoi5ThZB9n1J1n6LvgQpbN r24us9bkm4zC/AJlXUNJabnJBOcWQWIwGg18k1Gg0rBMefLO/tYzdqQdA61p 8jiKPP6rRkBF6nJweCg1sMXSxPb22mJrllSW1NxcOTbWr1IxyiuzlCZ+poKK ePdrdBxxRipAQWDXxpEnhSS6hye+pQkhL7xMFT3LJJIpKFIdY+8cHfw/hZDx VlabFxr3ikgL7BloZ0ihMH2x9FAHHY0fDvKw9vbGBbmFBruFhNx8jrruggYc 6aZ7xG3viKvPUb88xtx8iXvkR3T2iXcLTgHQiipIfl91xRJGA94FzgB+AKSU xsHTeESZklpcYfrSw/jUgxI8eHFlNTO78I436q4P5rFfVGdHVSCeik/i6E0s KoeACGZBeahcvFxFHRjuFmemgY9guclQ03mSeAY/CnwPyi/NTIU03ScSJ7Ah 1Zl5I8O28VHb2uqs43u/CSGQQ6pjhsS6oRLfmgoVEzOQrcXO7vbaxuo67FB5 fOfF8XeFaWBsAMCkxxFOD0IfPgp7ci/4dyfMMyf0M4Canke+eIqBLlywrvdD HgSmBK+sXcRsSudD9lpX1RVR2ThJRuoZAJChoFZXmxsb8wf6a6BQG+9CI7s9 0vLi2MBA+/r66retzhlaXZlZmBucnxszGoV5eZkA6vf3t7e0VoM15d0Ri1zt 8sTcX56gEKv1q7Ao6Tc3HJ0Xo9Cm8aUxYLlk8KORDRrSOGBSZ2rpvX3Wjc0p AJC+zyH0tyZkGPQNTSQwpaCj3YIiA3B4jgiSHYFzPCUKHUMAe974tPBMve6i cTmkMMvLCyUlermcrFIza2oL1mAUt7qxaqkwoKn+Lqi7TyNue5CeUTIScsr1 UNBsNTPLIsvKletNQjAvcixyYWaqRJ6abZZo1ExpRirAIV3HAYVOJWab21/R fOUQCRt7sK/MFnGFMX09zb19rfIMcnd309TUaEYmxVqTpy3KfBH5MI4ZAeex haAdIk3S6rmpXBxNQAQAT6VhZqhoZqNQkJ7kE/s8lY9TWMQjU0NHF4m9b2yu pYmI2JRjvyEiFQpBgyOfjUJDoPiGxvrfeoFyCQq56ow+juLrgr72EnX3Dfru S+zDt+hoSrwgnSvJFGRqxdLMFAAtHDESHGsoKp6OS2BEJjHxqWwCnR9VU5c/ OTU8OTXy+Q0C9tf7+1ACTUd/BSTIsr6w/McX/rc9I358EajK0uYUWu68ImhN YjoPT+dFp7GJFA4xXUUXyGKT+VxOOoctJKQyMSaLdHtrfXSkaWCopbGpoL29 qK4+hwmrvDmwPRU4KBx8calycX7ognQoKMbgaE9BhSmOFa7Jkezu7Tp6NHxb jnF4EiXA7mcxPDkszZKNTo3mWHN7RnqtzdYwSoQzxsU18sULvBs4A1zkjHUB 0Ah8iXz/KPyJxCzd3d11rMgFafzzIaQNm9uqoDklIJ0BSCxBdFm5FoqO2F8z MXoWHUHHWMtAX/3IUMP+PmKr8DlN9yXDpW6sL8CBQWx9vVXlZVqtlpOVLcvP k+flpR97tZxKPqH3bW6spDLYPzyMgOJkngQV/+UJ2tmHQOaQA3CEBDoZbHyk CjI4AEziSxPATocjigEXq98xxv67k9045G14wusgLAeGwcj4p/GgPbhARgoh 4EqqoTFzYcOAzM9OFhdp1CoGgA31DSWb8O4VLF81rRUJAnwUNfBl5EM8xT/L LIakRlqORstWatmZaobRJKqsySNLY+PZqJwcucUsUSppovTkzp5G5MkHXz/d EvL83HIDQEcD/e1Dw11qNWtgoGN2ZlyanlJYbiyosbjhH6FSvJUqRpZJ5GhA hegKTUYhZEmlhdz/0xVUljiGLYnVG3hMIWlieuToIs3N3d0dsjAKk+KFyItw 7/mGx9BCCHDmUCLN+4lX+M/PMDdeoq4+PeZIPz1Ge0VEUjlEgBnSFfFcMbgg gr0b+Mh+148e8aAHg5nMJgCYRCSH4amEaSgh7BegM+0JtsZqk0CqY2xtH8fE C0thXXUPvukREUvlPQ0gBUTFCWVxAMKlMGOTGTh+Or+52fomlPjba6JbEArs TdQG3gacG31vD1pHtjYXlhbHoNhcXAKAuwDagerQuHgKGwt47+IiEuLgovTp ERTSaimrWDW/BHuoHQOjb1M8xJzvfU4FuMHY9FhoWjhAPr+HPgTntAwKWZ4W kBwErhGlm/1wjXz5PPLli8gXTuhnvwXdr2qBwojt7kE+BWdCQ1+0beMXJ8TS rKI6N42FAWu93WUAnNNYOKE8qafXCuVpfU925ICR2hbmx+HnHL775LOO8+dW pyNI9TAPS7egaK7dnRUlJarWlmJQ2sX54eXF0ZNIGseElLO6rgpDinHyIv76 FI1o2eDwUOgrzpgfH2HCovFZOfyiUhUUXURISmNjedIEjii2sFR/dJE48CX9 KUI6Lruo4WUAis6PjiVHMWDdBLLKsIXRyYzooEiUtbbo6IL2MtjI7+XXZNe2 VgoVaSo1A+Afg1HQ2VFva68urMsdGOm2ZEmlmWlguJ4aZuv5Bj1Pq+Nkqmhg 75CTm5EsJOCZISqToKRIZ9TzNBpWaalhauoYXXw9bo/wH3O5PooWPDE+ODrW r9PzpqchVQVflqCxSK3NZZ4kl5eRD6RqWlmJQShPVqgZSG4Uhywkx9bmmSo6 OMxGIQSZ9HzwfXaOfG7uoqj+kcoWVZpDY91iIFPY4zwU70TnowaSqEFRFH9c cqAnJvDqM8x1N5Q90wE4brhir7tEoOPIQrmYwkmk8Uh0/lmXebYwJlNDb2sr 7uu19vVY+3sqO9tL2BnUzsGew8/OP460ZEtXl8yUl1tR1TvY3z/YEhLjlszF Li/PjU/NxDM1t18TfnUNv/4c8+/fw/7nd9SbYKxcmSDKkCZQiZGJUbZGa3Qq 71+/hYH/eqKZA8PjJ/HPIULEHaXW7BR6BE8SxxXHmC2iTA2toamsu7exf7Ad WakvCH1+e35BcoxGUtvSxVGZ5paWV9fX7MHklfmqB6GPXuDdnsEatIdhj5Fr ++GCdQWgyC/RL4oeFkn2w9IiAEyKZmHFGipXkaLNlSqzhAgOBL1wbsH2vyEh o31sYhDMKSjgDw+y0wasiSuO05o4YFg2txTOTne8n8Le/s3wYO3IkG1n+zNj Uxxuba1AgvaDw/Hxgc/kZuA5S4vjkAQJLuHosG1yrBnOoQaQXgvgGPNzo+tr cwAm2V8EBnl9bY5Sxb73Cv+LE/r95HSk1Lgci0iuoNiaKweHuxpbq6Znx8GO aX3jUnz0dyWEnzS2Dz73j+LLUmLTwEJD4ktjaNxjI1JYkUpKY2FrGy4sQILS JGkK5CiKn3fsi7AUT7YkTqNlA4Qjz0yLSgtApfnKVTQojYgBjrUIR1zUObiw QR+1HACixJlkdJovJT2+zJq1urzQ39/W2Wk7+sq1Rh5uKtX0j/WAi/mFaUQ+ kGERpkhJzT22gMTXrph7CULC3NJcqiw2jhGGKNfeP1QallrLBv/V6aGUu5AC Tsupsubs7e1ekI5DANLIWF9ukbqzpxFP9gNYyC5Nsqd4iKWFkugBLwMjH3mF 3nqBvuqCvuaKtrOjX5ww919j4yhRyQxiMh2fTMelwSFZzhxgtwswksHMM+RI uSp+qoQWkIDuGuqzF+OvVgE6j452u4QR/vXU+xe3gOvuoTQphyWLxqb4UPiR NG4MJjYGm0D93YNwxSXixkvMrReYeAoBFROLjktIZuDvukUG4qmIqeddN8Lr UHJksmxxec1xoIGr7t7mhsbiltay1vbKmemeE6OjC0qH5xIu7I/ffnRwouss rmnSF1a29vRhqfT/fubtFExyQQVH0CIaOhuL6opdsM8hFISDzq64F+DiffGR E9rlbdRLHCUwRYCPoQdH04OxKd4Rie6oxLcESkAyDydUUzQ5ElOhAryuZ7C9 uav+HyxHOjwOOT4DVgFheqLawEpj4ei8KK2Jvb4+vLY2YjSLOtvL3s/QCs6D A3VQ3MipnsrKLCS7JQKQ9mERX0VtSyJTeQh338cbb29ve3amF+CZmemutdUF nY7T2fmX2xwOY7uxODHeOj3ZOe6gFkSKPTxYPzLUPDPV2d5WVF9f5NgICwvT vhjKgzfYu274Hx6GXXuGveGCvf0cdw3iS9CXTl6EvOKiP1+kS7qghIyxiemF qoZ2rpRB5eCZfHwIARWMxzP4kWAWgIMriUmkEeqbL3oqorWNVUu5ISTV81XU 4wQ2Co6SLQCwJ11BEcmT7aY7AA5ZsiQmo1B34jVvgCUwWh0X0V7FMcJRFP/c quPcT+epKbDP95rWiih2eOdgO0B9AB3hmaHrm2t5VVkAUSBaQscYBUilwIUZ VrTZ/2UyCgDkW11fuTgA6Qx19DQNjvSw5ImopLdRlAA7TIqlB3pjUHdeYk6z ZELbNPTVp5hrz9FXnNE3XDCPPbCufrhkJk2mFMiUbMYxnj/VstHh3W4KE/ck xP1fzx+9iAyTmnVIju+/3BoQDNjbUJhN3sSEW1AuXcxdH7RzKKGgvKClJR+d 5IVN9Ullo5kiYgon5kEg5pZ3xHX3iHvuGDChfnqCdvXDPPPF/fIE89Nj1A1X 3BVnFIma0dI5WNvUvbPzMXN6ZN4dW9Nc4Dn4zampsxdHZTmFYn4L8L4b4HHP D/PLq9CbPi/vhdxzQj99inF5in6GoKM/Olywri/xLwNi35AY4bGscEyyZyTZ B8w7xIkghRcJMBISDzOrWNU10BrDCO2Es5D8U/sFmSxLKwtlVotMSZ2YbOro KhVB7mxRtQ3F4F/9fc0DfdWOKjaANJCASMODtUVFyt7elr29Pcc5h8j56GLz f9316eioOxMG5MzrAToCuwO7tKeqKgtsfgFA+rxK7a8sTUyOt72vEITVhU0T o00jw43Ly/MrcIQHpFQ7ewd8uT4Al/ivu8E+WMYVJ9TtF/g7LwlXnqLBdP7v e8G4ZNns/CoC/w6PbTP+scj5O6HjOA/zSxwJg86LzM5XMsSaBArBkC0SylOE 8mQaFx+fFl5irTi6wDZIS0tzu3DUQW2B/BnmXliSx3EuVx0XICUoEvUxFuID sJQmipKqaFlmSZZJrIPtnBGnNpWKAc4APqUr0tDJXnGCyIHxPmRV+trlt++G EIXFytrS4Hh/NCfCBX0PSw+ahWVK5VaLRsNGAl0eq9hMQrWGpYOhXbqCmshB a7RsJHAB+IYpJCWJokpLja0tVUcXSfp3aLdSgWlorBed5Al26Eg+L1yqXxTV xz0c9atT5A1IzII9cRtBX3NFXX+OufMG+6sT+lcnKLSvQK4urSjJL7aI5QkA 26cy0Ig72LERqYhE5ZG8YzHBKbHTCwtfpPASne62V/ivr0Juw/lQbnpEPAuN wqRSVSZ+DMMfl+qLT/N1xwXd8Qi77oa6+QZ9/TmU/fznx2jYpBM6/v0gFPDS f/0WBI4fHoYLFHkfbqXDg2NTnpOB8UXK/w+jY/nG0nJxTeP65nZAPO1nd7dn GP8bvm53/N1/fR3kEkY05hnj+ckPQp2d0E528dEHD2esq0+sO57sS4CjamOh FCSnsk07gAf/SuCg45gQfCILCAOjPYvL80ffQR9tb2/t74Garu3uri8vLyyv LCJVnp8dgHDRqdFR89hIE4Afc7P9Vmt2UZHOHlsDuX9rc6m3xxYcxQAT+Zk3 mMXaI4cI5w6CVEg7MD3VadfWAfTSUJ+rUNI7O22A529tfTgN7sHBB1I9HB46 sJ3DxamJVjiBI/TkiQ+ZTg0NNuTnK+BQcqdPOILT+OJTZMsr6zJNYRRZDmYx YFDgHIBn7+8fHH0Hw+CPCHGJ+Nal+PKEVArUbmSsHxnJc/PTBwf7i0vzyyvz UrWGJ5MfHuxeZDGyzVYGUEFDQ0lDQ4GlWBnDw8Qyw3VaDqJpOj0MUIYOnjQh ih5MYITQhNEKFUOlYSm0rPrGMmtFtl7HU6kZAFNZsqRMITGBi92EU1GfGzI8 PIn0C7CNC/puRJrvxCwU8aaltRpKiWIQmI0iAIEylfSScqNAmSrOSLWYpZJM ckD8KzIfD2FCWL+m0rFI7HCuJK60RL+5uXEx+w4xpwUXFfUFVluxNkcanvAm gYVK4Ya7BgX+73vBvzwP/uFJ8LFr7VPMzZeYn5xCKQKDa0DSz48jrj/Dgr3b FWfMnZe4IGK0SCWuqLYASM8WxbCEJCRQJGiB7DyZtSa3udU6NjF09FfZF/Kr 0akZd3wSQEe/+WDsSXWvuYddeRPqT4r3iAyJovgAgPTUN+yuG/qKEwayLT8x L4eMqV6gr79E41IkDImZwjeYC2ompuY3N7cv7L7j4hMCISdn5z2ikjGUlLbO +hQh/3GoD1XGDEuN8o0htnfU1DfnJPDoT0OIAYmRUPij8CcfAUjesW/x5A9m 3T2TyhbOMUf2jWWGgY//+EQkME5HRunB4XvDdW9vd2TINjneAvAGfNjGIF1V 3dzsgCPngXd/UJxYmVL93AcNzWsX7L8fRDzzjW6wQaG2R0b7WzpqHR68v7e3 ujA/Mj3ZYcctjbb8oiJlfn6G2SwsKdFvw24Rf9TykO71A6xvb3amvbfbOj3Z BmASAF2jw7Z3rKeg/NcNg/21dbXZEzDTcHjgO49K4WgBRmrqGCgob1yAYylf mBxc50rvif3+aY3gWJ8ztTuAYPw5F+dPE5h0nZ0NWi3kxV9cqKyvyyutMucV KI0mod4BI+lgjGGBPfo5kngsxR9D9efJk3jiuEh6kNTMq6ovLCsxAASi1rCy zRLwk6qq3JXziqN7glQPaBmJz9B3Q1I8hycHwTdNzZWgwDodD+xbGSJSRLKn NldSVZ0lV1KzTGJ+epJ3zHO6kJiN+OjBudsytAxZJrmkWLe1tXF00UfsSSyF rQ2wSadLYmwt5QFEjyS+XJVblFNee+81EQCh6y64K87oH54GhcfzFabS//eW /83nkVeeoX99iv6fB+E3nqOTeYw6W4nWJBDJk0TyZIEsEfG4oXIiWQKSIVva 0g7FgvtrTYFgGIpU/W9Xv7veaDs6AsdtcHihrrwOu+WJ8okKehUW/OBt+L03 EdeeoR1ty5EwBdefY16FkolUmVCXnSZVVTS0HH2vTPVLEejQ/YODnqF+nopf 25i/ONvZ3FrW11czMdo0OmJbmOlQ54idUM8fhngQmYKGjrY4UZwTyvmDciRn jKsrzhWd4o3/TwDJLkpCJ3nY2i6WhPZcyFEIfLi3t9fYWNrTVQ6QzNRkx8xU 99REx8z0wMb6ouMPwHl6qr+sJDMAG//DQ/R1WDJ83QV7/Rn6dTBpZnbSWptH ZeNHxvrAPn1/f3VluX9ivMme4s2evgT5ODrcCHbEjiow+4uKK22Nbb1gYtm/ XFyaKyozTk6Prq8vLS8OTk20DA3W93Rba2uyGm15/X01H9K1Nc3P9q2vzR68 GxnPQdR/ODQ27agc/65GgJ0QK5SOnmEyTzc+NfdnM9r/jbifI9Q/+lt5sA4P tff3NU5ODpUW67QatlLNsFgkWQVylYnnAJCgC5ogSqKmdbTX5uVkADSVV6Se mpuoa6+K5kQ4o+54xrqyVeTCMkNRodpsEkGO/xaZ0ShsaqrY2PjqOaRAa+/s bvO0tBfY+wGJr/tHIbPtxqZyjYal1XGiaMEv8Q9f4B5wVOSGhnyVhmkyCjPV dK8YV4CasiF1oT08OB8RNyHhDi6+dQTMbSAU3jfcOTjas7+/39Fts/9Xl2P9 v655339DdA+j/OISds09pLq5g0TN/F83fL0wNBe/xNehVF9MIoWNSWWi6TwC omJDMr2C61QGOjs/8/NLCM4VttY73ugzAOkYJnmhfveLeAznRnH2C3P2Dbvt hroKC46unvi5XAUA6QX6Z+fQ/3rs99/Ovj4kCnjg32iWXUBCuGvvyGA0J2V6 oq2wIkuXq+yD1ztkYR0Zti3NdtU25gQlh9wJeBQjjAtMCXZCfxggIQq4iFR/ QtonASSA51u7G47+DlPsaxLUBZubG6OjXUsLw/v7kK5hf2/HMbLuibHrPC9d l0pPDY9KtEcTQuSrPz5C+2EIfGkshYNXG9iz051zM52jw7ahgTpEMPU+gJmb 6V1ZngCvO1MawD2eeMU+9YrkinmpHHlff8/mxgIYKaKMVDILk5Uj7uu1VlWZ LBapHt4Id3dWgFeceTgsU2oG7x0atP3H2PsHB6fZt78fgmt9CK9Zuzu7e2NT i2DH+jqU0tzeMzre/5EZceBA51ng75l2d7eHB9vr6/PEOpoxW5RrgbLbyzLT +LJEe3ZaxHMtmYMJSnxjKdVOzYw2NpZlmcUF+crpqRHQ2809Nnpmkl+82yvC kwQBXm0WZGVJLZb0urqioiKNzVZ29PX3ifNLs/JsYc9Q58AolCDYZitVZFIV KjqJFe4Z44pnhnKUqU22IgD2DHpebl46lurPFsdC6EjnICiDjbeVGmZmtmgN wUh/w80NYo61v3+wt7dvzK32wTKS2do7bviH/gSPqBTwfSiJz5RkmfJr/PHs peVlhY4Lhafm4OAISJDsCPBDqSItt0BO4+LbOmo/z5wMFu7tb8sNmjveqLPo yDPixtvwq6+DfKL8Yhg+foRA14DQ+57hV1+grr1EX4Mc8U7lSLdeRLoGJP32 KioiVvgFm+u7JTBICqttwcnJGkvm2mLv8FBDZ5cVWlVhjDQ13tLRWR2YiH6O c3+Gffkw/NET1FPEl+1ErXbGi+15aEoAgeL/cWgEbgiJdTMXqTa2Nkprcr51 G1wUeo89nvrIg7OtudUtgHDvFQHytnj2jnAV4KW7bhEUDpi5RJE8ubhEWVuT 3dRYMDLU4Cg1crQD7+myDvQ3nAFIyItM+VX/537wL06oHx6GuwcTiCmc3KI8 cUYygx/FEpK4kjipnKxUMXJyZIj/3fsPtzviTYy37f1xVI3vc3NzpsppAvPD tyQyV/TAnShWFdXU5wGUu77xgeStZz7Oza+GxQgGhqf2L8HSVyYkjZpIQ0lg hMexUIl8LFsaB0CCxSx1RA7gMJtESWy0D9E5no0aHO0B4HdoqKvLQV4xuzCd Va6L5qCkWbzV1SUAosxmcUNDyfb2hw0Cvx412MrkcnJRoaa5s84n7mWmRQRQ 3Nhot1bD0mo5xSWaJEEkU0SCjI5O6njqmmfga9RMc17G1s4W4kd7zoX/a3Ti +nH0vs/48ur6ytpGGl9fbevU5JVube9sbG73Do6Ds0RdCPYyW9sbY+MDnd0N KgOXxiXQeYScQtXoSEtFpT6NiWlshvDtZ0xDBCBttXXUPArEISIjO0C66RF+ zw8dyxbiyEQ82dMnMuipb9iDtxF33VC3XpwGcYK0hE/Rjzxig6N5uSUNQ6PT YOf1Oc31nRMyVEYmZ254hBlyDVK9NE1Kb2otnZlotS9wU+PNACA5R/j9Hvzy GQby60dkR3YJEhJA2w6ZHkc4Bca5R1MD3wk98SHZETrZM69cz1OkGAoy/kZT 7OvRR7ACYrbU2Nb7mxv65nMIDjlCo6vO2LsvCWwhC8YwRLC8svgxSiVDrYYi 3+bnZ7S1lgwP1p+NszTaMjXZvTg/7AhgQBG2t5YlGbKfHqPAdLvugv3pMfrf D8J/eBDsjwNbJyi/IZ0fJZYnW6uMU5Cnf1tHe2n/u154Dkfj+vr89y0ePEtI L/cMjCcw1a1dY4vLy0wR8ze38MgEbGwani6gMvn46rpC5F7HXyETBOx2JZqC aluHMs+sKyz4xSnit7dopkr+zt2X9EVpd29XqmWUlJulRi5HnqRQMxgiUmjS 26DEN2xJnNkoMhoFds8vlYaVqaJThUT/mBdVTSWOz/mjoNlLS3OVlZaxsf6j c7E0QFxEu3uaJJLEoiItAGYsdRpXQz2CE4MWFWkMBsH05JA5X0akBAgzUgQq KhLEAECjokKlJUemg2MXGEyCmfmLEiLyM2n/04HNwY612pRMDy8uM9Q1FOvN PI44lsrBZ2iYOzt/JZm4o4MhOK+uLTuF4H98GXLjbThsfYRgJJRIrWpty0tg h2FSfIhUXyLNh0DxCSD6P/AIu+IMaROuOAFGHfrjw7D/+T0Un5I+MjFz9I/o mm9ICNytb+++54cNS6JU1BTV2AqMBeoz0oDpiVaBlvYg9NlT1CtnzEmwI5Qz dIFzfU10h2MfOSNIKSg15BXhlS/xeUSCO+5jQiTQv/4kekgiByM3cje2vrr+ /W9NSE/llzc6+yb97k66giQPeob51QnzwB0bk0pKpifU1mWZcoRp7EihPMlg FuQXZJSUqAsLMpsa80eGGoZhUdL7/vhWq2F4uOvIIWBpva3G2Qt95Sn2JNg1 9oYr9tenOO+IaGMWlyeJB9ygqso4P9vV3FJYXKbq7bZCcQk+FOhydrr3fYv0 75kQZri0sl7X3BWdmuyDwjr7koIJUanMaDILSXwJhQbSZ4nhzK1nmdvc4uLa 5gZTlHP7dcRVL9fbfq8eBvve8nZ/jg3rHxk/uuSHX4GQLhsdH1Aq6QajMF3H kqlo2SYxgENUATEo0R2b5idTUPR6vlrLRtRPACABmAS+ZMkSqppLD46OTaMd rO8OHB+OXJ+bBAl54/r6amNjOWJi3dHfggQxaGmpsljS5+cnOzuqhvqaLSUq oY6uNRwnHCkr1dZUmbOzJFBeoSwxiRZoKlIe/VMMJByl2cdxp0++OukvqOt2 djZGRlqF6UkFxQo2nE2bAbn8k+g8QoaGUVxuXF/7VH//d2briXpuYLgbl0II SUh8iSZdfxt+xwt10yP8jncoJoUYzwqNSEQiFfhgU3yjqX4h0ZjHHtE3oKC7 6JuvMMx0U0F5o7Wh87gWl9zg8wgxB61p6XwUiP/386CQhOTZqda5qXZERTI6 3Iho2Wan2gb6bd6xAU7opy44KBetR4xXCDkMSrsGB4p8SXj1NsbzQeijm/63 M/MU3SO9Aj1PZuBgU70/ipGgA5PixVOkXjL2/0hIE01Mzb8ISv7xYbjd9Mgf R1TqyML0BCoXD+fTIZizRVMTreCYmWyfOXE0e18LhpgJLS7N2Dc+COsuLCm8 /+oUICEY6YeHEUkMdnNrLlsUC94iyUhVaBksAcloEpSWqXu6K5YX+ibHT3Vt UOLd8ZblxbHLnnUkhNM2tbakMKK50rQUJjGeQnAPiXwRgEtjE1kwp2XwiRxx /PzC9JEDC11cWQZnPIvsQULHcHgPA0J/D/J+GOL9e7Dn43DvX1+99ULTV9Yu qLf1P4BAx5WVmdRqJuTar+PoTmIBgXMSB5PCjTQZhRotJ0NJA+jIaBBAudjg uNMA9GYVqrZOptgHVTAXp8s2NlYPDg8WF6b6+yC34tn5KVAFlZIGamStNNZW Z5nNIpWKaTKJ6mos3PT40cmho38KQPp0WlubBeiIxsUjmbURl3+RPKncampq KdvaXPr0R+3v7w70twzD1vJHJ6ZcgCf3D9RhyfRfXgX/8CKQlZ5eatUR0gKw Kd6IXoZICYimBkZTAkm0IGcf7BUn3E9O4a8jEw4Pj81WL/nAlyLQiO19g/nW OgJDrM81rsx3DQ82TI41A5g0P9MBLqbHW2ptBTGcVLdIP2eMM4BDTijnp5in r4hvXkW9eRT+5DHK6QnqaVVLdY411zvOJ1GShDy5ubMOlfQWSqb8XiZlB0Wb f3Dsy8Z2KFPb95B25HPoeN+3seWLY9x7TbzzMvL6M8wPD1FBhHiRPI4jjuNJ 4uw5cHUmXk5+enWtqaWlsK+n6n3ZDiRTGqyvrbWADePU1PDRCeseGenOz+En pJEdDZyuu2AxsSSeNB7JIseCtktRcMa0GJ4YEiiVVWrq6i1FRcqBPvAugK6b +nutne0lM9O93xvz/Dghg7ytsy6FHgpaMpFGTKASeRISQEepTAQgQXnKwL80 JsHe3qn9QIKQjaEnP8eF3PR1u+Hz8n6wx/1AL4COfg/2AOf7/v533qBKq2CX 3kuR3ZcmZOotLc8VFSqMRoFWe2qQY9Dz7dldkSjTGUoqSxyrUDOgbGUmYUGR BsAJlZ6bV2la31z71lV5h+B6IUKts3keEcouVheWGbq6bLMz44OD7Xo9V6Gg lZYaFhamV1fmllcWvs9VeGtjfmzEptazHRO0gWmboWHos6VVdUWfwvRA0y0v zbY0FVeWa8vKtIDx7u5u7x/sj08NW23FLZ3VHvjox4H4vNLc9o4yhZEe6WCy EpUGAFJQDDUYSrybGvoqJPwHpwChzoQYnF9ygC9FyPCOZkmeBEexFKbgxJT8 csPsVHtHZ6XGkqnMTu/uqVqe6+IqOf9+9fJBsIcz9pkb3ss9Cvs2OgJNx7rg nvP1gsbupmh+jLpQAx61sbUxPjMOhxk8UFvEWcUqqjganexJSPNHYh+dNUNK 8sg08ba2N8HA+D7n2icS0jZ7+/sybZGrfxKSpAOS8DzF/PsBKiImQSCLpfNO ZysALSJpUmWlfqC/ZuQ95RpiYDY10drbU1NTW7C+DgcggqdV3+BQODHt3ivc SXRZyMbp5nMMjRsrU6YI5UlI6A8Ehtmz7nLEsdZaU3dP3dhoz+bG0vb2el9f y9hY/2WXniFkh7i8slhYaqLzo/lSKBs4uGALT/O3IgeFTQCc9gg2DwZTo66t +Zrni3tBbx+GeD0IgaDR/QDvW+5B9wK8H4V53vZ/GUFOXl+H8nRfzqMvS8fo aGmupia/tia7psqUlyt3zLihezcOUrZZTBVEeZNchfJks0mk1rAKC9UVVgtD mYKhB6nzZFs7H4s8dqHInoIT0PT0WHd348BAx/kbk18cAkyypr64oiqnrFKX W5DuOGEBJxTIEiWZqdYayyfa0zY2FFRVGupqLLa63Lx82fAY5FfYN9Qp1tLl BiZFTOYqJHU2c5oIH5bgDqWiOAkwiIMj5OBSEXcn3wRWODYlwJifcfQ3GVd/ F0Is07T5Zdfdw256hP/w3B+dljgz2bq20M1TCn965fE4GBOZxngairnpGXbb O+SuT6BTCME92i8wOYKnF7gRXjV02U4etb9/4BjuDeomXZ4sPOFNFDUQk+wF YFIcKxzxbgMfke7GpHgBgPQNav53I2TU7+7ti9UFbyOoPz0Kv+GKuwqHeH0d jImjJHAlMY4ACfI1E8dK5CntHSVTJyb3jsq10eHGibHWhbnBk2BHx3YRhRUN z/0inb2jf3mCttsg/fgQhY5LFskT6fyoMxkb2UJSGjvSaBEcHV2s3fGFJaSd O3oGn/tjo5Kj2MLTHSjMZiEtG8C3EqVoaXnRfr+mwPKbv+fvQd6w1Ag+Qjxv vw265oK69SbkcZjvLZ83pbWNR3/K3PSSPoGQFWdrawPgHA1AOwWKmipzXm66 Vss5dV7T8YxwiOkTURKPJY2V6Jmzc5PNTZW5uRngaLKVtXQ3GEpUm9sXP7Li O/S+vubwu8wBhLRDaYUxkRqaxsZROGcz2MqU1Lwi9ehY/8FHA5sA+LSzs5VV pBQpU8FYqq3OqqvJrqzQZxdkFlqzdk9dZg7393dW1lYqa/PJbEwyC43IGd51 Bg8AMEmYSR4Y7lxZXfreeuRrE2KDZOvoueeDueONvukRoTArwOopUGW8xcf9 6hZy2xN19U3oLU/UbS/UA3/8NXcIRClzc0UmwW9B992iXpvLs44cpPqHx7MG OrKL1XRpbF65ITTuVRwzvKG1MpGDAdfYFO8ME5dEDwEYCZviFcsMW11btrVV I1aCl/QRQob/3MIyQEf/8yD0p0coj/BYvYGZmy8Wpp/Kduw7GvCNrSlvcvwD /mVIhKuhAdv2NgJsENdXcD5IZmf839d8wCtuuOB+dTpNcn3DBZ3MpPAkJCqX 4ChbZotidGaePotfVVt4dBIw/FIJ/kcET5bD1o76mFRMEj0aUasxBNGpTCJb FM2VAGQLWWtzxQmFpQYkFtbq5gpZJniBDf8t4O3vwV52jPQg1ON+gPcNt5A7 bnhPfNzQxNjRyaS+pC9IyEju7W0BAEmtZkHJ14ynEiStgSvX0BRqhtkoBDDJ AB28BFZEExzh7Qju8cXFWas1Jy83Y2ig85tW5XPo8Duf1Ejd5+dHdSYOXxrP lyVwRLGnuWt5URR2JENAlKvS5mYHkF988DlgUrc2lxUXKyoqdAAdAYzUUJuT lSvGk33RyR5jk0PHDQ0z0tauelyKN1g3/8AT3AOV5OFLeFpam3d0qV7/0oS0 Z2VjK8A/N96G/fQyMCg+NSwp7X9cA+754d5EJv70IuDHFwG/uAVecw91wyZg qXzfGEpOeR341eDEUAQV9Sb67cTsxNEH0gccFFSaFpfnFVlCIi1ocmZclS3i KVIb26ubOmrUFnFIrBs6yQOd5BnDCAEYSaJlQCmhLz2V/xMh2coUxtJXIeS7 r4i3nmOlMqopW2C0CMCEhSOYHU9YGpcgU5Kz8qSWHGlne+nUxGm4SPiieWzE trI8DT/1nWhLOaU2fkZuCkf1r7uBd92ibj3HwWkQ0U88MTR+QroqTZyRypPE 2TES4uUKXjc3P3X0t9oafys6hPaGe9l5choXZ4e10SlRIVH46NRIQhKRzCJY a/KnZ8ZBY66ubwYQab++dvs9xPNBiMepBAk+7kGWSF53vH2uPoug8Ezfumb/ WEJG9dzcZGGhSgenqQXQCEJKel6mgsKSxOLpwUlcrFLDhDLSmoTt3Q1zS7Nn IgfOzk329DZ/u0pc0ucSMgy6e+tlylS+NAGZvOAMGK80M1Vr5Cq0DKWOPj83 cvSHnBD6cnioo7bKXF9rAQAJOaqrTNVVWXX1efYAaMjPl1eX2noay2vzYxmh dhsVyFQ7zS8i0V2gSmtos1Y2FM0tznzn8PVrENKeY1MzP70M8CKScVTB1Tdh V16H3vFGPQrE17d16wsrOEpTNEvqGhHzi1tQAh/Scu7s7iIr6eTcZGo62Z3k UdX6h1bWY1NDACaBHqSKo3cQGdHhUaE1C2AkkYaWYeQGklyV2cJjt8pLgPQJ ZPc8XVxeKyi3tXc05RVpwAxFUigiqy1XEseTxg8NAyi7PzbW29tTh8SKPPFo a52d6dvd3To4+ENRcGNrb1AU5/6b6JuuEEC68hRLTIrPyxMUligUOjp4Edg9 gQPsmMCrlXrG6HjrObbB35sQKWtusRbK4iQksQDIFEULZTFJNKIfNvGnx9hE pvTEi+1odW0jhaO76oy+7R5yz98HwKRTCVKIxz1/75tvgh4FhvzyxuUFCuto 131JX4NGhtoLCjI0cFwgeUaa0sDt6KgrKlCnZ6ZpLRLA7vr6Wqtr8s/86nLx +scQ6MXNjaWx0WauOAawPoQTAq44OFA7OdYyOtK4tPiB9ATvPOHwsLuzptpq rKvJtgMkcNTXWCoqdD29jXZB0O7uDlgry2rzsos1UZQAJDZOJBkKIQgu0Eke Te9k3rykL0xInISW7n6yVF1Q1QD6JUWkuO4eeu1N6E8vAhA4hNDm9k734MjA 2ITDb487cWBsYOhDWYwdecL84swWbNpnN8Y+dufptlHE0Yge4ZKBfDq931bG HBlLGM2TxCOyIwafKM5IUerp/QPtR7BQd3dna3yss6ujdHiwbmFu6COtDf61 t7e/sroRHiv4Xzd8f3occcMV98sT1JWnETQ2VWvgKPVcOGIPCREfFZUqNjYG j47WLnvwEwlhgIPD7TRuJEcE2CyJlEqMS8OlMFDpKnJOsbW9Z+ToOKUI1KTj U3M3n0f++/fw37wDfj8RIt0P9Lof5PUg1ONhqJdLQHw0RWouK7zsgq9HCEOb m59ky2JxqT625oriMqMmHwrRubu3OzTUVVSomZgYhO88+GDqnEuY9I8gqAe3 t9c6u+qkmWSAkcButLOzfHaqY2SofmV58mO/hHt/cmLAWmmoqTZXW02OAKkG limVl2k6OqpPZBfD/kRnf+KzMFjFhiP7hMa/SmSj23ts41PD49MjO7vbMJe4 dHE6DwKNHM+T/+wW6B9LYymMu7uQx+BHbD4/Zb6/e489VeUJQt7b3f3jPBSX 9HFCwhYhs6N/sIPOjwK4iC9LkCrIfGk82OBk52dOTo3Yu2Bzc72ryzY60rm5 /rHs4cjNw+MzLFmWpbjePZzyr7tBDz1iUPESY17F3h7kKtXQXCHOILNFMTQu HrxrbKLn8HD7cpJ+IiENJVaoE6kRcLJLDD4BHUsViRQGk0U6OQVFVHaMJQjw alf/mD+BedvH82Gopx0g3fX2v+Xhf/W1579fPFNaco4udxlfn8AWb3F5fmis F/Hw2t/ft3Mz8C/ITuCyC74bauuoTqSEZueKp8aahwdrJ8Zbd3c24P98bPup zBLoTNzSEhWASfUOQiSAl0pLNdZK4+hIFzKKZhemsks0KfxIbIoXQEeJbJRI RckuUp1X/S7pmMBuZ28fEuMMjE5E0oTzSytnbgDddfAHcOhTYdKl+uyrEdL+ Q6O9NC6Byo1sas3f2Rnb3PjYXubTaWV1Pbuobm5h+cz3W1sbc/NTGqMAYLMv 8qLvjQrK6tiiZDKHWVVnbe2wOliCHZ4JgQtWYSJZ/sQz4TevoAehHrByzeth qNf9IA+vqBhtdpXSklfb1vgdJvy9OHTZ8t8VIdZlBwd7VbUFE5MDa6vT/z97 b8HcSLK2if6cjbgbN/Z+uzf27rdnD8yZme62G8wkW2CSbFnMLNmSmZmZmZmZ uc3MjLJMkqWbpbI9bjfP9HT3zNQTGQpZLqWqKivffF7M48P1q4+xI/i/W7vr 6xtzy4tj9Y05LS35/T13kUg9lZ3txQP9tUrl4cN+OvoboJLLQSSvMObJCfQv 2BGDPHLfBFfXt0rQ17r7yCh/MTS3VzS2lc0vvtbpTnU69fvycz/xnoP19qH9 8K63X7YNQvAbca2+PlNdPvjgfQqIzpUf/h9PyS/wDFMGAbAjYzrBiOb8gxOK Hez51c4WAQxkbULw27E4P9rQmN3WVngfiQTeDPbX7e1CuajaB7vSaKHNiQ7m l6f6hlov9SXZEWvDtwIy8f+4eGPsvtw4gm417wyouCuEgjwzvw73+fjw5qHv Owy+vdXN/URBhJmzwlkiM2USUDxqallBVlVpdjVUPlej7+IrnTcCBAju8Iva +MkTUKvfs3hjfb6ns3SgtxqmRj1dFeATJE//+wciZ//I0Or9M8gs+8Pg03kN EKqb2wdJxQXOHrzt/b3f86QQIEDw+wFOQ9ZMTfZ0tBV1d5Z16+tpX19f3v/3 8RfuXHpf9zwRIECA4A+Ae+fm7uH+wpo+x+3O/P6tTw0BAgS/BmDyzi2MDQ41 jY60rK/P6hBrPAIECBD8WtzLT0SQIkDw54De5o9MZwQIECD4rUAihBEg+NMA mcsIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB AgQIECBAgAABAgQIECBAgAABAgQIECBAgADBVwCS4I8AAQIECBAgQHCPd1Ij hC8hQIAAAQIECP6auGdBNzcapfII3l5No1F/27NCgAABAgQIECD45tjd3aiv yyssiNncXAZ/dg+3hCZ7bO9t6qDdFhE7EgIECBAgQIDgrwJ4h6DFxamu7pqG +rzS8uSyitS80rjK5vygRCnF3TYsRXF5ffmtTxMBAgQIECBAgOBro6mpqKw0 KT071COM7hHGEAS4sLwdRIHE3qGWw+M9jUaNRCIhQPD74QaZXwgQ/OWh1SE7 Gn8vAANxfX11eLh7dLS3t7fZ2lIan+LtHy3wj+YrwpnSEKoshNLeV/etTxMB gj857iUiIhsRIECAyIHvBKenR83NxWXlyaUlicXF8aWliRVlyRFJHrJQqiSY Ig4iCQJce4ZbF1Zmtvc2NDeaD3SFjOg3hPYON1pEAflDYn5lA5lDCBD8lQFE 98Xlxf7R3rc+EQS6q6uL7e3Vza3l1ZXZ2prsvPyowqK4wsLYjJxQeRhDFOQm CSaDJg2hCAOI8nBmaLLH2blS965o7ftPkKX5m+Cj3pkb7Q3iwfkOARNajeYm NKnoRxsOSxG7vrV/c4MMFgIEfy3A6u3K1gbNT24ndOsY6dEh6+k3Anzbj4/3 y8qSs7ND41O8whNkUOhRKF0RzoR5EWhiqJHEQSRAltxDab5RvKS80JX1eX0P N/ddAXEOv79Wf8i+hOB3xanqLKkkb217s6mvq6ChCrIj6VmrFjEofa+4Z0EV ze3/aUR9Ziv6lznnOVYyMQMlkILZhAzcHwXILPvTA17p7he7Lz7c9x0KI9wt 2C6uXqLL6yvkofpWgGf0xsZif39TXUuxf7xIEkQCdEgY6CYKIsGGI0CKAGtS RLB8onmekSzwCc8Pv7g6o3tAkGDMrMy7x8qFEYrdw0PExfOVodFosmtyKL7S F2RHnIRlySEFpiWoNdAAqS7O4WP6Xo8ml+brLRPI0HxHuLy6LqvvMcQKn9mB JjJAi56ghHixor639VufGoJfg28yxRB69pXxZU0B99ERB8cHcUXxznJnBykj Jj/7C/4Egt+Iy8vzopL41MzAxHS/kHgJRJDu/GuB8ZK8soTO/oa5pcnp+bHL q0v9ZLw1HJ0oj4dnRkRRXq9optY8FEbkNrO8pENScr4iNDcaTijvOdnGkk02 ohEcZRxHGdM7MYod5JVbW7FzuC+PC3eUcZv7u+Hjv4g4RQTybwSYPsOv553Y If+25P5sIwDs6KmtEDQDtPjv5nQU1TOvqnH3aF+H3OrvGLCRVqlSrmytqC5U 32KkEGr0uwO+w2ube7WtQxlFzeHJxXGZ5QOjk2DZBNL313cLZWZoH8ar7Bzu uHhSTBgOxnS8qyc3Ki96cnHy9lgEXwvwcJ8qj2cWxmfmxuYWXi8uTVbUZcvD GH7RfN8orkcoTe9fI7mH0vz1n/hEcqJSPFubS0A7OT7QPbAgtQ52oEX2NgI0 RoJDi7EoAcbNW1DcVKfRaNQazb1BEsHvAe3daAakBZqxUNY8JwsOzpqPtmBj XlHx7jGh8UU5DlJOUkneiVLZOz7inxo3u7L0238XDK7uzuaMaK+/Gkk5DTh6 4BMbgQH6lh3B7TlG8ncTDo7ls7G7BR2H3N7vFbAaCFYxih8NJ3MURAjDsgNn loZ1X4LWfvrMOjzeX91YRHY9+J0ABwo2dw2X19fVtjYvLI+fqdaOT5YuLtbU 6ovfPjvPzs9VF+cXkOVBNzw1Yc4iWrIJQJhLo+WrW6tAxl5dX32J60DwSbjR c5ux6X7/OFFAnNA3hu8fI5CH0qUhFDjcSKx3sQGCJAuh+kXxguLEYYmyxKzA srrsxvaywdfdW7vroIe+8RFhRLC9lAKoka0QayfCgIaR2BvRLQPT4r71Vf4l AA9lQ2+7Md0KLXbASrCQoJZQLTkujEABxZ9uycGMzkwPT0+wQzyNaM7ZNeVg DqouLrb3926tup+jm6j1vGh1a4UVxAnNShZHBu0fHf5e1/anhur8smd0pKyl ITQj9Qma9cz2AUFCiZ7j+M8IeH6o/7c+TQQfB5hCao32Wq32iJOT/UjxRRHT Sz06rfLmgwm/n9X/ez6H/nF+cVbTmB+X6uMTyR0Y79Iv5YhO+iVxfX0F9MGW 7tGQhLyj42Wdbg8QUv3rvka9rTciXevbZ3arvj47PwPM5/L60jMhworj5qIQ Unw9BGEBGBHDmEawYJGIXlKan1wUASj3AqKHfnVo6zvKkgvC8yqTU4siA2KF PpEceRgDDs+WhVBkUBEkKmBNoIFPeH54hicONKYc09ZbW9Fexg0WoXh4Sy7G VoiB2ZENH2fJccaKmYFpiRmVpRVtTY29neeXFzpkm5LfAfANPTo9ofi6O3uw cVInNx8yO1hsw3fASXGWXCs3b3JBXV5QeqQR3cqAZIETc7YP9rpGe1w8KWkV ubo7fvW5yKjKekExN3CzN2O6+CRFJ5XkvZ6f1SFO1U8DLOUSsmr+21OX/2NK +9mOZYjjPjQfPbUVPcNyzGm02MIMWHNEbuv3DTCJboam+6XR7n6pXkCN0OkO bm52dNpfvfUAXK1DvbS2enB8qrsz2L7rIG1DS3FgJD8qUR6dKPeP5A1PQKlP iN3+ywFMvjOdTgnokEq1ure/cHyyrNXu3NxsazQ7K+tTje0t/SO9l5f7n9vv 0elRUEawqxeR6EPCSR2sebZWPLQZC2UrwLsoBIAvvaI6mzJdMiqLt/Z2b08F EbBfEeBuL6/PA4LE9MQJAlxEgbeGI7i5h1AV4UyvCLZvFNc/mh8QI0jNDq6s z2nprp6aHtrcXuGHs1F8KzcvPN7DyU58az6CmxUX95KKeUZEGbjh/FPiNTe3 uVTf+or/tPBLDbaXOYA7jxKgrfk2diK0NQ+LFrlOzvXtbk68nmjJqUhxlrG4 oR6KeIWLJ+EV3Si3Nmd9ZweMiVKl/OjQgAM0N1BGVc/YsCBCYcO3tRU6WXFI Zkw3oOaQfWTgc/0xiFj+VJxfXBZVd5q48P9pwXyKEj8kSPpgJJGRvTy9oBE2 2SEM6TvEfWDt7uFCRWuWvcz+OdUoIjdIdbGm01389v7nZ/pyCpKjsgpOVe/t rX+oNTRGHJviBRGkJEVorCQpK+gaJtWIvP1tuNEvWwNj0wExaVkl5Q1trT1D vUfHS5DtSAvY7875+frY5HBRVV1VY+v5+QlEjLUftxlC+7/faGBReXZ+NjQ1 aC/DmzBQKIGDrdDeVojDShwd3QmiCG9nD/5LiqMiPqK+u2N6aUGNZIh/XcAz aHNn1S9OCCWsQduL0KXBlF9y/IPgBH/I6QY4UklpYm1N1tbmyszCRExOkLO7 jbOHvZsczwtgYiX2tg8IElqMwUqxGDHGVugQV5QwNjeGiPgvDtgip7pQVbRV OHo4YSXOKD6YYtBttxPiLDlYZ7mLSrV0dbl+fbl+qVrd2B7vGatbXhkobcjE SvGOMqabF18SI0utSNd9msp5cXVF8ZVhRFRHd6INH2XJRVlxHTEiV5KPeHVr 8/as7vC7XvufBgOTo16RmU9Qwof+tZ+shf8wYz9FcxVhGdfXUFQJcju/Y2jW d6Y84twdPZxxUgd7dweqPzU6P3xkpkOjOdV+poUWnjhnyqPVlenB/vqB3oqq 2nzPyOj8utZH5tmB4bb80sSASH5IjAhQI0CQ9BzJMzxO2tFXd36h0iEc6bfh PjA7vbA5t6ymtqW5uqnp+GRZp92FCZJOt6vTHeh0gBod63Q7+s8PfsVcTa/M dfUU2vCopgwXM6arKdPFhI634VFsBTQLFvE52eEZEWNMc7biuI3NTugQ8+BX BPwMHJ0cjE32l9dnByVKvaI4sEPtYZOFUANiBFGJHmUlSRWVGVgh2oZvg4Xi jjA2ArS1wO6h+UjfsNY8rIPMherPsObZYcT2s6vz12pkK7cvCfhmjs+/pvoz KX4crNQZDAdoKAEOLcJZcK3CMv3VkIt8967tg4l8pVoZm2hlB0rQIieiFzmn Nje1Iq2uu173HnEK++BeL7xOq0zzTPTCSADvIqDFWF6YUBKtwEpcLDm4FxQs 3kMQkpl0fvEFFOe/AmDltKV7FM8Od2KFPrO7sx2hhU+xTBuajOEeJw1K+3I/ iMy7L4zzy4uj0+Oz8zPQrtUXkwtdDu6OQPTZQrLR1ohhZiuyG5/r1EcEfXbn GxsLrS35vd0VPV0VIwM1jQ15yXnZDwkS6HZnb+P11MDweHdheXJYrOQBR1KE xoiTsoOPlUdf8oL/6tBeXh6OT43t7i/otHvamx2YI2khR9vWjQaIWfAeNKVO e6V7ixXfZqvpUdXenFSSV9hQXd/d3jc+WtxcKYpU4D0YFmxXwI7uGtGE4WJM IxjR8EY0gg3PjeYvisiJn12eg6xP7/K3IvidAC+LrS2lqRkBvpEc73CWdyQb th3dESSKKNDNK4qbX5mcVRStiBWCuY++86mh9faitwgSxoprbyd0dXKnOcio 9lKmvZhd3FSrQ9jvu/Cr7wnMXnrGhuxlBAsO1pLjYs4iWnGdwOhY8Wx7RgHt Ob3RbN3P5evrDbV6U6Pe7h9twIgJNnxHWYx7cGZIZXtl+1D7uwmS/tzG5l47 y8kETwogvVY8DEqIBjTJyYNkw3NGi9yYQe7eSdEROekLaytbe7ubezs7B/vI QH8AsKjc3j10YPv9H3Pq0zsLkoGd+N925OyqSp0+Hh6J6foOATtHqjsrCJ4E djCLHkgn+1FIviQHdyfAjvRZKjiU0I4dytZpoRJkn2xEgsb66vJ8YrxzoL+u r7cKECTQujvLxwZr80uzGnqGdA/C/PQpwurR1z2ZBVER8bJ7ggRaTJJnQBQ/ qyimtC5rZ29Th8R//gaA4dPcXN5odoCCeXq6enGx/osF6a7p45EARzrVRysd fjj2rLqzNTgjKSwrydGd/ZzsYOhK+Jc11ZBAe0Whv3JjmjJczVhAjLuYMQlY MZXsI2IFKVhBnkjS0zcEIKVzc+OzMyOLCxOTkwOlZclhCTJFGOPOlEQRBrh6 R3P9UzwIChtbgZ0V1xE2E91nrr3dAGtCCW2B0HDycPFK8ltcXzs9O/vWF/o9 4l523deXexg4/VGbG1zZNTw7BS1gYkR0Ky7OTgznEmJnlnq1N0DZ2X5jOut2 b252QjKC0WLHiNzIiraKxJIkeiAzuSz1UcA2nMIPqSs3N0qVihMqwkgcMGJ7 lAAMOhYlsLMR2KLFaFuhna0I8CVXdrCc4uNO9pa6eUno/h6HJ8efcv5/WcDr bFZJ44/WHBNHD7gIkgFa/E8zjjM79OrWs/ab7572Coye8nTr4GDjt58zAhhg Thwr14em2qo7iwoa0vPqUgQRXIgdwWqjGAtpEAp8SFbA4vogWDG1N+ef0Cs0 2Kenh309lT1dZT1d5d1d5T1dEEcCnzS3FNXUFx0ebMGHzi28DooSxCR7hkSL wuKkD9kR3GJTvIOjhQkZ/lfXvzpQHIEe2iOddg+QIshqBGWuvcGOtFDbPTtb ZStiGB4JVElsY+eI7k2dFyyv55fnF1cX5xfnSpXySn15dX3R1DHixPN7imUZ osUGGIGhM/+5C/+FK/+lG9uIQjOmUo2pFHMGzYLJsGSTzFkEU4azGcsJ8KWw rOT6no5vdzv+6hgd7SwsivWJ4oqDyFw/vH47NpI8nOkZxaF5OzL8nMheeIzI HlAjWyEOJcDd56+9q6HRIkcbPtGQZI8Ts/aPoXxwZMV8G+1DfSdKJfz+/v7c R/J8IKTnntKklRfbCRgkHw7Fj4EW21vxbPFy8tL6iH5eb99zJPgN0HeUquW2 waaw7EhAjSJzo1a3Vj98hhu72zR/dyuuqzUXb8O3vyPGjmYsHMWXHZsf5Zvs 39DbvrS+sbm3e3B8BOctIvgwwLAqzy7WNve8otJ/suYbYiQ/2fCf2QrTCxsB Wf4SEe8anfZYe7OhUa+dq3Ye/bhOb47QFyq7QYLGPhHwwtc80IJXuDq4O9vL HB09nPEKgpOHE/pBogpGjLPmodxjxWvbM/qA7Y+zFHgub22vtTQXDfZVD/dX jw7WDPVX9ejtSP29Vf3dZb19zXB5/J2d9Y7umsSMANin9ogdRSZ6xKZ4Jab7 l1SkXlzCVqzf+b78OQEGDrCjQ31kEdQgM9GbtiNInGq2r642uwZ6YtLzPMNS pueX4N3CdZARWA249OTiFF7hgpM6YCRAcqLBqwWd+g8zzj/N+E9spJDp2E7w FHKyQzQJcCSIKbnwXxI5L1zZGJ48Ji+3sr2+qr2xpLkuv64qJj+zpLke2RDh K0M/pjdXVxdjY92NjYWZOaFJGf7FNen+cUKeHyEsRV7bUswNJJK9cFRvHNET 4+j+AV50Z0TS2xnAg1HaXFHf3XF2/ilq1J8c2jtZdZ/zNTg5bi9ln19edo0O Lm2s6aCic1C8Fnw80Dh0d8e/s8O9o0Pf5BgXhTAoPYEb6vOS4mTBIRjRnCrb ysDs1kKG3z0okhBmR7o9rRa87l9droVm+Adnhq3vrL/dP/x+/+iwrrutoq2p uKkuMjfdXsrBSRg2PJI5G2/NA5MdZ8VDWfPtJhd6by43x153sIMFOCkBJ6bZ S9i8UN+ljVUkWvsTIQtO+18vKX83Y7qJIvcOTr7YTYOkul7h1e3opf0b3SID 8ytwW2JXdTqzMjE225JSFsUNZVlwrVFvxWECvsQJ5SgSPKUx7kPTeqvC+31t 8Ew5PDkNTMqxYcpwPHeawlccFJJTlDHYB3EkPU2q7GgvnZnuP784m5gfeT09 mFUYHRYne0iNAFmCWiLUwuOkmfmRp/pIpA88UcgMfS+011qt6ubmUHuz9TYv etMsvwNRKShUG27KRz0dnR5MLU2OzI4MTg16JfmYMOys2ARzKtHIhQqxI5TQ wJH3nMB94cp7QeRBr9AbLmjmNLEVwyMkreDmV4SyIfh9oFSelJYmVlek5xTF SPRFkGRhtLLG3KHJ3u6RVv8kGd4D5eaFdZRhsOL3uthgEWErxDi4O5a1ZrcM tByd6qfqX1UwP+T89280NxqilxhQo47hAUcZ9+RMOb+2ZMPHTS5Ob+7uNvQ2 +aT4LW+u7B7uvd0beAVfJMiFnvERwRmJeLkgOi8zoSjPnE2wFTolFCW7KkSZ Fdka9c7U/JA+SPvw6GTp5mbnTLU6vTSyubf1RocPpDcc5zA2OyWMCBBHBvHC /PhhvtLoEJIPC46ywEpwllwU2Yc8PNkCmNT5+crZ8XxlY64pE/OCjAOnMb20 sHt4oEPE78cAr4wXl9f1HX21bX2q889wiMA+0BvtG4D/BaTpFdB2znfV1xt3 ei543ddpT8A/z1UHx0cQFW8fHM8sr+8emVjZ3L68+uxKd395nOfVZXkneXPD uOi3BaAYY862Inq7dAw3wnPtoywFECRRWII4KEgaEkr39IvLSKytK+jrroSD kfTxSKWvx9qur68Kq1NDYkSR8e5RiW+Yj0LjJKCFx8uCwZtE2eLy9Id/9x7v K9T8F7RUwFd7prrgeCZSpbGrG7OQXgkFYH+II93AxiXd/v7BzsEh5CsBSm5i cV5sQVZubUVdd0fP2OjsynLv+BArhGfNQ9kKHVACexuBvSGO+wQleobmG9jz DJ0ATeK9cIEbZEd67sJ+hmf+7MiwZLJxErqjjOXmzU+vKGrq69o5+MttQvRQ xMG1zb9g3598DtBCWVOTNTDQDMY6NNlDFkJNL4+Xx/K5IWRhOI0d6OqqwLjI sXgPrJ0QikjRu9seMyWwklrxbKz4KBuBnUe8LCTTb2FtFIiUv9SAvg0wWao7 AKnQdY8OFdRXlbU0cEN9TpRKSzZJFBFweHLMj5C8YhgLIiSunkInD0J9Tz0v TFDbXRdTEHt2/ksQF3wbB6fGI3LS2MHegnD/sdnpiYVJebynFQ9rTGE8Ibi8 oDhYsdkURSCK5T6zOOYdlxifn6vXdG5rmg1ODkbnx4zNju3pN/xSa37ZO16j 0filxIKe+WF+3FBfTrA31c8dJ2HbCVwwEowl15rgSVhYGQBs+gaoV7pdjXrz +HgpOC3c0Z2eV18ytzo/t7r4F5zCvx1f4naBxe5aoz7QaDa0b4jx7RvNpk57 vrY2OT3dMT03asVw/5ut2zM825gkdHUPWt74yDqOAAYsqI+Vp2D6ZFRlppWn YCS4R7qhXomw9oiTf2KQ9q1TRq3OKcnNLUrr76kaGaiGzUdwGFJ3Z9nC/Jha fbW9t1HbVhyd5hMYI4xIcP/Fs5bgAT7xi+KB5hnOCklyHxjv1Hywmvf55Xlc UeLV9VF8UWRdT6NOryhptYhLDgyEZmh8vqlrNK2g6uYGtsM/DkB61La2Z9e3 FsOS8jieKTq98lvYUB2TnxmSmeSVGCmPDxOE++HlPEMH5jMM/xlWcNvsBPf1 PaBkDTvhM7TAwJ7/isQyIjNM6CRTBsmc6WpCx5vQCVAODoeEFjIwImZMQZbu L2kHfuTseI+8ek9Qyrv4/mdJPI1G3dtbX1wSX1AYPTzUtrwx7x5Kb+mpCcvy dZBYEDxsXRV2BA+sJdvFkuOMEuDeaTsC7Mhe5sgIZFL9aTipfXxRGFCP9PH/ f1Evmxrc1fGRms5WOyFdHhcelpWCFjGC0hOJXsKpxYWQzPinRFOMkOmdFBSY 4ukZL7Pg4M1YaG6oWBojT6tIC8sJD8+JeKjNwRak1/MzFB9Z22CvUqWKKUg2 YVqZsqzM6JQXRLYFi2jBdn1Fpv7owDIlC4zJbKpXUFRWVlljzdjMRFp5MT+C b8m1AQ0txvHCeZNL43DPsOMP/NDGztbM8uLM8sLY7NTw9GTP2AjZx92I6mTG cnKQkqo7ijSanfsUOb32dHB2vtTSVxaa5gueATO2VWFDuQ7JW/wEaPW3XfNp 2rr2doMJVVNbWd9g6+T8/OLa1vr27s7+4cHxybVac3a2Nz7esLDQdXW59jim FBL1+7MLQzi+woYpeenKMyIJXxEFBnhOYHLu5dXVb2RHeqPWl9Xsvkfo75JW daHKrs0BLMiEafYotAC8SqJlzf0t8L7en3hX4YMGJudFQRE1tXkQKeoq7++t 7NeHbe/pd3c6PN4PiBfzvBx9I7mADoXHv+Fii0nyjEv2ioGqIcnkofTYLP8P +/WAXAL6V0hmYOdIDcWPdnkNHgA1vPsqHEjTPNCyf/yXVnO4nokewcmZRRXd A92q87X3sKNt0C4v1y4uVlWq1YuL07f7mZ5fW9/abxsctKAAdsTWMyLh04cF 0G6LxAqfYQQGOD5kTXLmPsdDvjbAlIwpdDMmyYpLxIoZQGkFi8jiOmQE/tOP i/Zuu0+dfse6o9MT+PP5teXS5vov9SsazYlGo/oUvglOZmVldn19YWNj6eAA iFPd65mhgCQZ2cee6IkhemFdFWh9A29wGDEgSEAaoB8RJJTQjqBw9U8OyqjI mF+b2thd0dyc6XRfYFO/PxzgkT04OTFnuZkyXSzZJJyEZkCydJBxZbE+jh6E 7JpiNy8KQU6h+olTymJOjuYGhxsjsyI84+WvaChBhKiyo4oWwLh6V3Vc1cW5 8lw1uThPkIuek9F2Qkc7Ec6YQntJYukTRV1N6SQzOtWE7mZMd0ZxBWiugij3 sWIKDd3srPiWQO3FSDF4TydLlr0kNLKmZWBn/7Z2Cngky1ubwrPTgtKSJFE+ 3FCBKEpK8mUYM9D8UNn86phOd3TvvvmlJIh6U32+3tlfCZ4BYaTo4naLGQRf EvAzcKJUJmXHBkbwbBncF64CY5LAnC41p4rruwaury4KCuIHB2tubh4rvHAm zvX1pqu77xMn9ksi/4Ur7xWR/7Mjs31wVPeeLS0+BW+X+f1D06RPX3cWN5YI ni7QPt16XoQWY4FUBBqiBccqqzrrs7q6P3h2ea2vv6Wns6S/t6q1tbimrmB6 bgo+4ER5NDDe2dReHpngERYvi0z4JfoIvIbESQJihP5RvP6R9v2jXdX5RxOH rxfWBp5TjGu7SsRR/Ny6AvDR+GzH3Eq/fv8UnW+qX0ZVpu6Ppua84Yi5O3M9 T30c5PABQIkSmpvDY2X34Ou5xfET5Sq089rj6KNdyEirO9fvxXalf6PUv4Gg udFcq8HMUCtV53T3OFuKn5mz3BDLN8DwHvGi+2aABfSJ/wytD9u2EwCyBIdt P3cRGFMYKD6R5C3yTIjwiA3tGO7/EztAtY8cavpX78TovNrK7rEuWayMGSjP ri4/OD46Ud7RUS1M7KG3x6fHp8qT+z/vq1AlZNdsbh88yEqBXicXBgdeV4PF Sy8wT+En/1PP8+4Mdw62phcn4rID6T6OJG+cq9zOWWaNEVpixLa2AvtHuWxA Pljzbc3ZVo4eTpu70+CBudGc3Zdh1zxw5fy5AV8m0DRlMZ4mdLwZk2jBJlrz 0dY8Z4KCZcWz8kv26+qvm5puX1gcODicAYuX+mrj5HgeqPkx+dEWHNu2oTai N2lsbgyMMJhueu1cCwd4w0vS/NqKEc3RiI5Ci+2t+dYWbAJY75678IwgjUNf cwwwJdAYbi9JdDSfY0xzsea64aSO1nwHCw7KjusamJTM9Ij/0Ur4D3AcLzy9 sAH0v7m7+ZRo+oRobkxDmzDswJFmbBtjqutLNwZOxGEGeHQONQF19uZBWgdY fMEzplIuppYkOkjpeA92UnHetx6BPy0ury57BloT0n3zKits2F7/wJBTS6pP z1QXl0A4a280cFbyWx4BqMjD9o1mi+4d+MSJ9eoBQQpJL/p1ZwKeQ/DAlNR2 C/wSz86V7b0TIxMLDw/4w21A8yBO8iNiCnZgrW5PETydzTnWgB1Z81FWPBtA luTxiu39bX1Xnyfr4AVddXYy2F/b1losD4+aXlq90b6xpk9MDYbFSwFHAgQp OlEB3gTFiIJjxX5RPJocHZcT9Ck/dK2+XttaKGvNco8Vu3oTK9vynDzwp2c7 Jc25RG/XmIKwrb11ebwnkD9gif+sS/jKuLnbn/eNOLw37/vbSSi6uzgW/esH mMbV1eX67t782xNKo9m+vNzc2pnjeCY5MMOCYkvuun3cxdm5yishmu7nSfFS 2DLFT9F8wHxuk9fgdkuQBIZOnBcElhGJZkyhgmZCczOluwEN14RGBK82XBpa yLIVMFw9xeHZqZ97o/6Iy+7p2Vn70ACYFHVdbU9cMJwQD5wUR1BQrbn4yo5q ewkH0CT9YXs67SF8gZeXV0fHyyrVkf7PU0ge6kPcq5r7rVw9z/Qb99wRJ+31 9e7iWv/UQsftHsTQyH7kaX8U8wn50PW9XV6ex6f5+kRyvSM5GSWx1a0Fla05 kiiOFc8WI8Y+CFPE4qQOBIUTJ4Qpj5cqz5b0mVPQo3VyuqI8W9/cnt072NX9 Mcfrs3BLkM5V/HCBORutz5G3wyvIdgIyWow2Z9s099TcXG6cq1Zg3wdQRgDH 0Gslu4OTzXMrw+6xHgklSR/4CaXqTBAhkifIneWE+OzA1MJoCwZQOpiQ7eiX uqyuYJaZMogmDII5y9WU4WpEJdrySMJQXzsW5wVO/AIrNUCLfrDk/t8/EsQB UAHno9OjivYKZhDTjGNhI7C14dubM8gviDxjKtWU6fovJ7uwzARwFFhqbx6U EQDtWr0zOtWBETvay/DMIK5vij9cQ+BPP9ZfE3q9WDM+0RcWJy2pSo1MDnGV uG8fQJrU9fVVR0fl0lI/FGn2qKKdbvfqcq27s7i0It1F4vkMzwHU6KU+ZeYl kZecn6M82T4+3ry8gHNwPm+8Cio6/68fnRIK84tquv5uyvKOyJ1bWldr/hiB 3w9k3S2fOTjau1K/O2758RchzUUdmB5E8aMAMSiKFHeP9SysL/wWkwv83e2t hbySjJmlN6YPrCip1dc7e5vpeeFRSfKoBMh8FBQrEgUSxcGk+JzAhZWZ22X/ fZEYEJ3QxhcnZlXncEN53FAWYHeJJVFUf4pXkgcvjAM0XCOGGUpgBy7KVmg3 s/xa98EsvO8BD2/4zsE+XGnk/OJiaGocaBPg/ebeTmBawuUVNKwdwwOhmcmf 0q3e53imz/d/EIx9m7m2d329BQhSUk6hV1gyUx4hDUxTqS60dxnKC+sr3olR 4dlpcYVZBAXHnI03YTqZMvFAFBs4cOEYpKdofYM5kp4sPbMTGjrxXrpxXxK5 r0hMYwrDhMKy4dBsBGh7qQteTrEVAP2a6pPsm1ef/3vcye8BqvOLiYW5qLxU z/iwZ0TL5NI8glxoxsJacKzogUySjwDo+A5SQJPIyrPDmMKYwsYMKGv7RqW5 0WnUh33DPbOLW2D81WoovwmMCOBF5nhFR9/rq2t138jMzY1aqz3V3hyfKBf0 1Oiipa82uzpHX7XsACqH/n48cprDQYbTSxOSSCYniEj0xJC8cKwgV1E4TRLJ oPs5O8rQDlIcSoC21ec3WXHtU4qje4fbGzuaE7IKxP7x0sAE74hUeUjKM1th VGr50cnJXydlBr6TOwc7OKm9Dd8W6GjCSAVKABVyNKZjo/LCNZpdLVxw7I2K joAvndyoN9PLEpTnKqDBDU4NVXfWJJel9E50rW3uVTf3l9f39I1AWSqX11eb m8sd7cVVtXl2HIGhK90cNhwxXd/ZTBkuaAGZJKfS/Nyc3HHPsKwfrYU/WPJl QRmpBU3rm1unp4dX15cHOytlNZkZRRFxOYGWTIYhgW9EppuzIIplTKXYcTxY vkGDr3v00mNPLzrAA3nUO96IFjq9otngFdSc2tzM6uyN3Q3dX4kgffg6PzUe 5WOdgNdT5XFqTmhwtCguxcM/0qN3uEejJySzs6PNzSXHR3Nq9da9zqtn4Afr m+PhSdFYruQnR5YhgWNA4Bi6QMnFT53ZRTUVyuOVg70FHVzV8NOioQAWlrf2 D08TCwv+YcYyd+MrYhJ+thH+25L7ykFKlAQyPGKyShvPzi8+rcuvDe27BuT8 UpWQFdjYXgZUQniP5g8PGvzfrpEWA7JhTXfto89/9akBbO+9I/4H/vPweD86 wzc8Thqb7AUIkjyULgpya+6u+sSuwWtIVhg3jFfZXmbKskCLsPYyB7wCr9+H GgqZcPNxiysK3z2ci8wLzqmFoo6/Q4IEawqzK/Njs5AL8lh5PL82r7q4EIb7 g9drtVocGWzBdjpWHp5dqGh+7lF5YBnVza0uW3JIHnFhhY3VPWPDE/OznSMd m7ubuvcPGVhJdVpwAJhERxr1tla7v745k1VckV9eVVFf39bdAUjp/NIUWxG/ vrl//63dw/3Chmp5QqAJ1dXAiWrsxnhFYD53ZL9wYt3GID1ysWEEz3B8Q0e+ oRPfEM97TuA/JwhekVjWbKadgJ5YktI32T0009sz3tk21FbbXdc/OfDp9+pa rTk4AjRPpdPdPtLfp9sUPqu08hwTprUZ2wZQd6zUyYZHMWc76ffsQLso2CiB vYunG4pPIPmSE4ojaAHUpfUhIO70zPTiVLls4uTR1NFzfLoSGFd4fgGxnYjk Moo4GrwJTy7jKJL1P3WgUeujRHRH5xcbFF+xIclhfXtCXwzn7H36xbueEOhm AhLeO9ohCHTjBRBpPk4uclu8u42zuw1ejmL6EkRBVLKns7MMZ862MSQbp5bH ajSHSuXq6enK0fHS6vrU6MTg+tb87v7y1dWB3l37SQFRfwLA93N7f9tO6IwW ERzcnQD1BUqZncjekotx9XRRKhf1aaRveLeh2vU3u0cn8+s7kP5Y2V5pxrLA iHFGdBMMl2vm7PUvC85/PHULTYSMujv7W41NBaOD1aFJUTS5J1FBM2U6m7OI 7yNIZkwXa66LCd3FiouxFWAN7bmvcDxZQNT5pVp1dthQn1tanlRQEt9Qn9nb XRGeHKuICkXzpAYE7is3thkTdOsCmJIBnvvEkV3d1jA+O7K49vqu3s6+Rr2V W5cdlRcdnhMZkRsZmBE8uzKn+y6l6++B9wnYt4sxan9tmurD9Xp6bjQkRhyd 5BmdJI8Aa2VacHpZ7dzi/NBg3dxc5+7uxPWbcWJAZm/uzDhLfU3IQhumzIoh NaOIjNwET53Yz/BcZ0kgyz9GHpO+vr0HTlj9wXik+1Mn8EI9w3KSCkv/ZkIz xAj/jaI9RYme2Yl+Rgl+sOD+05zzn0a0vtHvepPNo5ODE+XR5dXF+vZKdnFs XKZ/WJw0Ic0vPTd8buH1R79+pwTtJpYktgy2wtu1v/PALyX0YNfQ9u56fKqv TzhLFkIVBhI7Bxq1Orjyw4fuM2z1Ojs/k8crrHjWHnEyrMT+Po4UMCW0GGsj sHPycD4+mQc0/PxiWXW+84EOvxXg6ZNWkf2Kam8nYHSNDIVkRUTkRoRnp/PD /MC/fJNjfyKg+OHy1e0NRXywvYSlhdjRggnDmeLrzg7ykseFE70kkblJjEAG XErlvZxWqwbU4vziqGugG3LE6A6urzd39xdm5sd6Bvt4XnFmeE+eVxJcv660 pSw0O8w/Lcg9zsczwV8QIcLwKS+dGM8dWQY4KProCUr0vhikp7aCx2HbaL4B lvsUy3IVhsal16XkNB0cqj58Z9Rq2IJ1DW96Al/T9u4RSRSuUi3rKzV9p4A5 ycXlBcWPbsm1xkntMRKsFdfZmmcPu6gANTJn49BiNAqi8dA+DsZMc5IPiRvK PDje1EKWn8OhsX6aLApcZkh8tiwopaalH1w7WDHpstjx6aWfbQSFNVX59UlF DSmnysXr6+3ZlRFuiOIVFQ8WTUcZe3Ci427jmIelb25gXUkHOUwvzi/hG/s4 pC2uIMzVA+0ityN6YvWmJCzbDy8OJklDyLIQckC8ODIn0jPBt6mvUv8U7ekz yg/hIlqt3R155dWVDQ1Ts+M6rVL7vUrLLwtYWE0tztsK6FR/tjUfhRLAwZxQ pBYgS5s743qz3rbuzo6kV/bBTds/U61A312a1D8MWJTQ1j8tkCSM/sGSa4AW PUEJW3rGx8Y6Ckvis3Mj62qzhvurU3OijKjOLymuxnSiOdMN8Blzpqv5O4xI rlZcJyumswGG+9RO8BzDd2L5xqbmFBYl5BdEFxXHFxbGNtTnNDbl0xSe+qhv kikD8obfUyxTOsmURrPlSNw8/Esaqm9u9q6u1lXnq809Ze6xHr4p/sGZoYAg ReZFNw+0fOtB+EqAp4k+LPO9ZoeYnNKJheXPWibvunrjS0cnpwur600dNYAX RSYo4lIUQj/ZUzz7f1q7pRRX6xORVFp9uJHudttxKCrp8nJTERX9DM+mKPyZ PkFc/xBhcLgiKiEgKSskNTsoOdMrNlkRnbR7sP++k3lwVhDhic0sf4JhGaDF jqxQIHme2QkN7ET3+TjgPfjXE5Sge/C7I0jw6IxM9uWUxUeleIYlyOLS/aJT vIKjhfDmHUmZgaGxkoKypO29DdC+ycl/1Aa1ub3SP9bxenYYELxPLDF3K+RV O65eLoAIWXJt3k5DxoixYHlqH6oHmrE+QOI73SXq4uqS5ie3FbiwgmRggbPk 4AgKziuqszDcXxIVZEhysOER7SVMTojiORk3NjsNrp4V5AEOIMgFJG+JR2yY GdMNI8bXdtfp7p7PD9zzyytNR99479Dgyjroav9Gsw0trwvjIr+kjv6J4Yl5 OMehrLUcaLKvaFbP3FA/u1g/c0Mb0cCy7viKyHhmLzBw4Bs68Azs+c9w+kgk 21+ca3pfm8DQgf+cwHuO50OFtfGCnx0YVEVoXkVbWEqJJCgV0KSJ2WVYyLzN hOFgm4b2IUlAxs3NtRYqFavSaW/TozxC0ktraoFkqG7qGhidq2jo1WjgS/69 BuhXABZ3+XUVFmwodEe/rRXufr9X27d27sDJHIwZpoUNufov76nVuxRJ+MTM yNzi65i0AuXZyu7+oUdw5n83IMmCMkR+yZ5huZXthaJwdmVbDhjS5Y0xWwHl OcnRgn1rUnhOdsyszFrfeb1z8I6yJ8llyURvpiI+HAoJflMmwL62rsGaiBQZ 1ceR5IXjB7hKgyl3e9qSPcLpyflBJyeLOt3J6enKqXJFqVw5OJw/Ol48VS6P TgxU1DdQJFGvp1fAc3QNVWG/0W/I+T0Nz5cGPNwnZ8r0ylxboa2dvj4YoL7W PAe0CAekU0Vb3vX1jlq9pXdR7eop5UHvaPcmtEnB2eu5OayIghKgMBKMrQBH c48AqgrQMn6yEfSPzt9oLgCTKSqKLS6Ob24umBhrLqpIpXhJ+b7e/tH+hiRn YzrBhO4CXh8bkQBB4uCNiRQLBsGS6fzUVvTMVphfmFpTnQrYEeitoiJ1eLCu r6cyJMHf2Z1swcY/6sGc5QoUMRSXJ49KLG+qgTdqPDo9mlud73vd39zfUtle lVdfEFeUUN1Z8yvu2O80HL8f4HPe2jsgegTPr2zcfag7Oly9ulJVtfWeKJUV LZ1WDNnBMZResbS+NTazoPuERfARsisbeUGxZlTpKyLHM0QWGuehT2KSB0S5 832k8lCf4akZeEMKQNb0m2zuXl9vqFRrmeXFNO+gZ3gO7FN74sT+2Yn1xJn9 isi3oEvRXIWT2JfmFcz2CxWHxvokZOdWNX7AxgWL4tDE0n+YMwFd/7cV931K 8Y9WfDhs+7siSDp9SZOM/EjfcFZUAlRECKq7mOARA5njoIwwqBh1vHtQvCQu J8gnmnd8+pHCp3DkyfsOuDg/UZ0dXF4cq9VfbBeeXzFN4K+cX56HZAbayxxs 9Wl37yBIEtxLqnFSSYwOuksX9/k13xvACO4eHOTUZtvwMRaQzdzZhOFiynQx JNm/IIMlz82Iiqf5y0wYThE5yeD4gobKZ0QMWkiz5LgyAmQWLBJaRBJHSeDe PvH5zCxqGJ8aAjosENpVjU3SwPiCytvN0eDbe6w8LmosDsqIcI/xDgavsT6c EBnBk2pKdX6Fpxvi2E9sRFDVI1vRPTsCTAkKScLxAXEydOK+IHCfu9yW1H7u yjWlCq2YUhu2ux1P7p+c9fC3HuF2fC+unNnBE7ML+jp1ezrtvvbmBIzj/v6y b2SqWr3f2N7S1d9dVFWVWdzy6Rf+dQCfTHFzsTnbGi1+dx2hhwXHLDhWfine mVWZ4TlB1+qd1LySiGRAlk4uLjeAzr6+udbZP/lPc9ZTO/HU3DS46oSc0tOz zYOjtZaBluCMGJqfBKyP4FG5W9eIJnRXsGgmFSccHO/dL0YTC5ONfU3VndU2 fFsrHnRicMGB+1sHi8rx6dWE7FJZJIuowEhDqF4RbHEw6Z4giYNI8nBubEa0 X1Q6nhPiyAryDMvsG56Ynl9Y39q4vgZr6GX/yNS3u/ffBrC5s6m/CTAigoKK EtgBvmHJcQas2JpvywxiKc+WwYCCiXV+vra4On5wtOQi80svK04qKGR4h1qy XDHgSJ4DXiwyJbk8seX8aCXAUBUrGzs1DbW5uRGlpYlFRXGVlam1dVmlZUkV 5alVFckFhbGZJSmiCB9rLslRygRyw/yxEYlowcKbUglP0XzPwID0rJi6uuyy siTQVUlJQnl5cmtrYV1jjqOE8yMBEC2IET36uhGFYk7notgypm9QZnnl6Mz0 5dVnC//74FjYNXCvE/2xONK96dVNHmyA5wACc3B0DMTUyfGO8mi+tKntmTOn uqXRiMRPhmp1ngNy4eIeCKiO7oPSCY7I3dxe3T/cUalOr64u1errruHx3KqG ovqWhLx8jo+nR7B7TBJEkCIS5B5BUq63lOYdgpf651Y3be9DvoDL85WJiTbA ddu66vwTEl4QoZBsOH/Nki52lflieHILmsjIjf/chfOzE5PuFSAOCfONT8up avpAApoW2khOVVjTDG+z+8zuHV4DaO9dc5Y0OPlEqfqueC98Jsqzk7hUHz0d eryd2X3pRSDi5MG0gupU2DP1q3/x9HRrY314bWVofXVYc330WanEH74QeOJ8 7r3lhnItudaP6lveedkw9jJHvMKlrDVDp1N/z3tcwHOnf6LfgmuLFtKxYhYQ dNZcCtXPHbx/SXHGe/BdFHysmNkzNhqSVmBM4ZgyXEzobpYsmiWbDI6xlzpN LU2MTi5t78Hlr68B4/qYXqDVq7E7s4uj/7LgxGZU3+1p+Ma3InLSUTw6VsTG iFh2ApYZhWlEJpnSiCYU6gtn1nNHtqE9B/Kd/VIo8j4qSXDraIPS3ATPMEIg on+24/5oy/kBxZKHpyXmlDV09r7vDMGTMD2/ll5QfXK6rA+n2YdK6Ou2lcrN k9Ot0tra7oEuIBaWVyd1uiOJf1xRddfddX0XgGdZVUeNvRRvK0RDrpa36gi9 WXHR3j8lACN2tBHYxORGeYamA2qkVwz3x6ZGVtZ3sbTA/2FACU8uABLaPSjZ hIiZXmxWa/bjCxOeumIN3Rwe2g2MycwXJLw8Lmx7f197l6Za0lJiI7A151ha cq3AlMFKsOYsHCfYe3t/9/6E9RPwamtnK7+yLSghluWN9wxnAulxz45AEwW6 8f0JLG+nps6Ott6h4pq2zOLGkprOvPJ20HJBK2uvbOovqe3Kr2jPLG7KKWtJ L2ycWfjzF7xSXZwLI8UkH5Y13w5QI2su1ZqPxUqxljwUyZt/dbVRWFfUNdyc WVZsw5KJQqPwUi+GbyiG527BpGFFJGOaM5pP84iWEDzRZhTiM1uhE9PdwsU9 PDayoT6zsDCuuDgesBrAbaBWHFdVnQ7tBt5bHZUW1tldGZQa8dQV9zAqyZRO euHGMiNx0WSBLcuFIMVz5UHDQw1trYWgB7i3wsLY0tKEjLwEr9BAsofQiOai D0B6gyOZs9ysOG42XKYplWbBxhE8CawQjn9a4PnFORSJobcRfjT66FHAxtb+ tvL8HZXWvlvARTaurq+94jJ+wNGgkB5nlhXDne0fubU+PjE7YegiiMkuYPqG mNMkqyvDx6cHorAkC5r48vIdta3eRmlVemZ+RFpOaEZeeE5RTG1jTmVtenZB WEZucFyKIiZZERbnERTtERIrp8sl/8Bx/4Vl/G9b0j8xVBxf3trbfKZabWgu Ki6Mcg/2/8GeYUjgGhBuA7PdPHzrWqo7extHx9pfT3SNjneNT/RcKFehTdw+ CNgyH59V/TcT2nOc5BdF+CFNgiKRxD9YsySRIV/qVn85QPccEM7U7JCIePd3 ciTwYUA0PzhWFBYrGR7v1v2mODo1FFV9NAvY0ZlySV9XECxb38Znp4V2e3zt EScxYZpj3tLQgfw3YphJYySnZ3sazbFW953ajmDArPvg+GBycXLv6JAZqLDh UrihIlcvrinD1YLtRvYVGRJdyZ7BZM+Q/7RxM6bSgKL3ksh+7sI3Z1LM2DYp FUk7e6coN9/Q1KLV7Z2cijoHNhS/9IF6pxAjvQGa4NnFxQFYxY5PznRvlREA Mk11eT67vNjY1+7Ac//BmvbERgDXyn6GFkKVtKFMf6j9QpDeas/0HmpDtNgA IzRxlmHofgReMFEYiqF7+8Zkvi+eTaPREgWRfcN9UJYxFLmxq7050EJxrbtd /b2HR0sHh0ta7e7Z2apava3R7IUl5swsfvs8mkfxPEenpzZ8NysetGXP20/p Wzuaoa14trQAUmZJ0eLyJLT3qG5vbXN6+PVsXkUbURjkyA5Sne+09XbYuPmN THftHU6o1TsazdbE/EBIRpQlx81cXwzHiEw3otDMmASMiGkvZfJCfQ5PoHit qo5qlBCNleD0Fi0cSmBvxSUautkHpycsrq/e1o6DTvvsTLkyOlLX1VnmG8WV hlDEQb+Yj8CfnpHMiDR5a0/h+fn67v7i5tb03OJY90BndVPDc4zwv/zT+f95 4vbfnhD/678Jxo7u0sB00Pg+yT2DkE3pu7LyfXGoNerZlfmK9lp2iBTFpztI 6URvioOM8oKCJfvwonNjn7ravyS5PXfhGeC5z91IJnSCMZltx+eZMPAmdEBF yCQFw4bjiBLgzGkuYO78jOL/05ybnJna1pJbqLf5FOtdY3BrbMytqcnIyI5o acpNLYh3kXEcxSxrDgkIjXtuA9QoMwYJK0JLw4mpmaHZOXF1tVm1tZkP+4GY UnFcY02qNNj9ORlvySY9dtXpc+IsWESgcgKqjxLYArXUhm+XUJz0ztopjyqb nZ2fwTv0be3vtw31TS5OD04OOnkAAh+wsLZ6cfkZG5N9Q8CPbvfo5D8w1Fdu AqiykBv/iRPLnCqiewWZUSU0r7CorLy/o6kEiffJ0bJ/Uu5/mDrVtkNmedjF /LZourXVnx4ur86W1WRmF8bkFMVm5EWkZgfHpngHx8iCoiWhsbKIBHkkVD8Z snWAddw7TEhz57G83MHPARbVOdA9tzS6sDRUW5tRU5OelptK8Qp1FHlhuB4W dPH9tpgmZCFga3ZcOdUrVB6dEpyal1vdvL6zf6w802jePSvhzwuqW/5fQ5IB GgrJfmYreobh/oTiPNM7DgCHf+7AN8CI/mbMKKxp/g5TZuCAgd7B5pBoEeBC EfGPd30NjZP4RnJjkj1DYsRJuSEXl/AuAL9iEQFDfHh2urC2MrS/N6WBcm22 9RT0G6xH8ChE5EZYca3F0RI4Ye3ey4YWYQFB8k6Si6N4l1d6l+LXP8Vfi+Km OkMSFq9wRfFxRjQ8HAZgziQ+d2XZsCQvXPnGZA6Qe69ILMCOjMgM8F+0gJhT W0QSRQXGFdgLfYJTc4ydxMl5tdu7h1/qrM4vzsieUgxXYEkWPceKgRLxBLYU wRuLvJ3I9qCk9o/WvL+bsqBmxvrBkvOTDc/YSWbPCKxu7te9x+ajvTm7uTnP r2hNzikE8gMqSqDbUV9vwUWcLi/X4S3Lb0tc6oNdV9eneoen3tfhF8d7LMn3 RpjbR7ShpwstoOGkjnQfEtmLZPPWZtBvciScFc86OM1/dh6woz2o1NvNbnpB RXvvZHxW0drG9ND4gE6n4vvEJudWAem1sTW3srEYmBZF85e6yHngITGmANHN fEVimOmXSGOaywsSwZJD8kmMBlw3s6rwBQWlj42BzVb6vdWEzkY0Z8/4SN1d NiV4Mzk95B5I8Ynk+kXzvCPYshDqvYsNEKTYLJ/S+qSOgdL69sK61rLxqWHQ RicHJ2ZGM4urQhPzg+LyfaNy5KFZfcMzX2EsvkNMLS5IooIICoF3YtRLirOd gGbBtjdwJZmzAIl1BQME6ThsMEbQkJnQXWDHFmAg1hwXU6arDd/eAMO1ZOKN XSk+QeGxSWH1DSWjw/XFxW8QpMLCWNDKShOrajKz8mLAe7A+cgM8DUl40BWQ ErCz9RXV0T/Zu6+3sqI8pbQ0Af7WfSdFRXEVFSnt7cUtLUXN7WXcYPnPLth3 JsdB7jYa0YwFJRo4eNhjpVhrgVX7cPt9ATcY9/NCn+YDUaW+1wPMIHZxc3Fw RjRgXzZ8nA3f1oKDe0V1Bg/nzLI+cOUPkv6mVB6xfEOfOrNfEuHKQpAP60cH hglFnFhYZkQS/OjAbO2qr2pp/F82JHlk3IXq6Orqvdko8L2amRsDpCglKyg6 yTMq0SM8ThYYKYhMkMUme8SnyONTFfEpYGX3kIfIvMM9MwsTSipTC0vjCkqi KmqSGptzenqqtrbG6usyq6szVpcHtzfGWztrAG0zoYiMSYLbTcNdeYYE7isi 31HoacUA6wjnJwfaD1iyGUVkw/LoGtYXwHmL28AyTqlSiQNSfrLi/WTD/7cF 35zMs2WKf7IWGGIkT1D8Zy5OxmSKIY5fUAvtCPC9lYuECdLO7kZsqjcgmanZ IYBkvkmQpBEJ7jFJnn5RPKaXfX1H2f23PhNXp8dzsHNtY21ke3Mc3hFP72W7 +Vxf2290VMJfnluZbR5oBsNa0lxqzDC15tuSfSmO7s4ooZ0R3TShOFaj2VWr 17/b0KOHgB9OoMhbsN2AAAGUz5xFuLV1swivyPSXRO5zF5a+EjXNiEIzdAZP PteM6fLSje7sLv0Bjed7p4RnFv7oSP+XNZOliOd6JRK4YfVdA+XNnbqPFYT/ kA9aL7vUGg07MOLvWKefnd1+ciSbULgmZMEHrEb3tqMfrXj2jKDA2MLA2ALP 8BxJYBrfJ4kmi7Wj+De0DeveaVLQxx8dHS9u7cyV1NStbkzrdAd6avRLEutt Of03yoBvq9Vfm66/nea5p9+2Q6e71aTmVxeZgWycBMPwIQLebvvBSCS4+mJk drDybFF/vUdVTfVUaVx6Qc3q+mRnX7dGc7i4MoGl+50q11XnGxklxZ7xIrK3 s7OM/ILsDDEiKtWERn7oYTEmM6255IgcqBpnWHY4xY+OlTg/3HMWDe1GjUkt K7hS/1KzaGVlNiMnJDpRnpwR4B/DFwa5PQzS5vkRPELpxTUJ+VXR1S2p+jIs R/oMiDN9DXZ4m9TjtIJKHD2ELIpx5YdPzK7qPRTfl/D8PaA3zEKXSfdX+KXE uiiE7UODigSvVxQHIxLf/JeyRS5wltkjfxb4HBxjzXE2pbhZcXHP0AKCmEzg 80vKcqsqk2G/2NsNfA5oUlFxUmlFdkVjviWbbAKYjL5nCzbR0NUpPT/neG9y bKy5qioN9qyVPOBaJSWJVZWpFZVp5TXZMZnRvGD52wTJnEmw5bkRZCRxuMKK ymL6+AWlJLx0ca1s+2VZvJ97jb2dBye/JJkmlmSQfFgo6Kmzo/qz7ETOKAFU ThOiglxyU1+X7s7D+z0DPL0H+0sbq8Ncf4ggGd1xD8A6njixApMzie4B/xtF DkhIfD3ZAzRZM4pwfmmaFxhJVgTtHhytbu3AO7x8YOUDjPLs7HT/cKequZHp 5SXw9xL4efB9xO5B0oAouX+ke1x6aGVdXkt7RXVTeWZJwfhM3+bmCOxybW0t XFkaAKvz9ubY8GAtliMCVM2AwHlxVyLyuSvXhimtbq4eGhuYnptYWVucW1qY XljaOzw+v/iIEQ/Q3MnZFaDy/MOMnVXSdHh8Yuzo8T9fklAkP5/4eJ/kqKPT 043drS98x78coES8VO+uvoaBkfZgvSnpkaMNcKSQWDHXx7ljoEH3awzd2suL DXDz79vu9mv11QZkQYKDQ7TfMucaTK6c2lxLrnVAemBtVy1KYMcJYbr5uC2s zUB12G6+92p1MFu8uLzkBPtacZ2wUowVx0mvAEIeE2MaSf+Qc8Gke0HkvSIz nuN5T1AiYzLVlE40JvNNKBQjB1l+daspVfQUB1XucuIG/M2YKQ/Lwgm9G7qh KkO/ZccceEZPLsxlVZellhVF5aXjRLyfMQwD9AfS/G/bE5QAnJsd2Q9D83dk B5GlkVyfeEFwAjcwRhGTdqzU+/Ue/96NPj18R329eX21ubM3r/evvWvzOL1Z 6egYClJSKjdvNKdfgSDBknxpbTazNDavKgVe9K+uL4trM1p6qmWhtJbe23Se a/XV3MoUPYDqKLPFQh60d0YfvfGnDR9rK8C5erkub4xqtXsOrIDIlIqllcnx qaHdvQVAkCQBCbUtLeCprmpsmV9ZH5zsGpnpaehpFIb7vKQ4WbDfrBzIcDOm kpzceVlVpftH+6dnyuSyVGc5+d6I9PA0RJEi3xTfnrFu+OQP97dnpobzimO9 3wxAkoVQpCEU91BaXmX04srQ0fHq7v7C+NRwdFpeWFKOd0SaCy/ElR/izPEN SchLzi8NTkxp7x0/PjnU/VJF/zfVVfstY/cVAIvW0uZ6sq9MFhOSUJw3uThl xraw4ri8cuOaUMmwYeejzZTlYkli27OYZG9sZk5YYUE0bPaBvWx6ppQAiA38 JxyYVFCU3NFWXF5XDAYdSAbwQ/rfIlqwndh+pDLIfJSYXxCTlxeVnx+tT4uL e2iMAq/VNRk1DXlFtblWHDdTxjtKUNrxCXQ/PJqHf4oSY2khLzAetqSAgbE5 3Z1b7ej0BBCeoPQEwAxzaiqu1detg70EBcOaZwvVhhU6WvFsnBUEgsLFhm8H bcjCpWBFzMKGat13b0QC16c63axtqUKx3Q3xnJ8dWS/1FqSfnVhuHn6CwLB/ Ymh2HPfJqW6KIgC8r2+rTy8p+/+sXO2F3kNj/dZM966RiUdlkeAZsbm1Mjk9 tLG1dHC4fXJ6tL2zvr65PDk/O7WwODQ509Q7mFxchWLJTEg8LJvvxOe4CtkU KYfvzYuI9ywojauvy66tyZid6Vyc7wVL89rK0MpSf3dPTWZ+CsndywDPgc1c T5zYPzowfnJkviQKDAjcgppPzTq8P93Lq+vtvaOra8ipWtMyGJdVzvGMOzu/ uLr+fldYWD5PTA0WlCWCN22dVYAgxSR7vh2JFBQj4vsRatugmmOfRtfV11d7 u9vTeztzh/tLWxvjsPkIbqvLg6fHC1BSBqBG2lN9FvZnGGrWt/fgwne/xZCk fXNzjc29zZGZER0UmzS1c7BR0VbS3N+q+yOEPcD+mlPVWVh2IkYClkh7oFpC CbZ0NyMqVU+N7sykTuA9+6md0MCea0IjvSSCP7lP0bxXBJElU/TMifvUVmBJ 9PiXBduFF+GXkC0NT9L9DmE5M4uraIbPv605BhjRR+1IP9sI/m3J/bcl71/m nL8ZM36y5QUm5Tb3Dbf0jcD1wN8iSOfam61fjEW6d1Gjuzp7YCXvGeytb2vW 6c7f40j/wtC72TW5FYkEoVltazH8YXVLoTSYoghnMjyxLT01ExP96+uLBTVp 1Y35Q5N9Lh4QQbq3ET2kJY8IElqENefYEBRM1cXm0Hi/yDd9YWV2fXN6dmEc UMTj46XaFnClxyrV6ujECLznZFZZW25lE9Pf+wUZb/7YHAE9RcaQBwfn4G7v LHe24aNsBLb31QZgR5s119GG52rDd31ORlmy8SMz0xMzA2nF0Ul5ofxAV0EA 8U2CRPWMYJXUJBbXJMwv9lxf715crAES2zfcW1BRXVJT397T3z00QPMhjU63 LW0CfujUPwGUsjPtzRdz+H63uAs8O3H1FEXnZbh5ifePDtnBPFMmyk7k+MKV aUjgvyKxPk6QGK4v3VgmUHgSLjBJVFud1dyUV14OWZDy82MgJlOVXl6e8jAk CbyvrkrNLIg1o/3/3L0HWxtJ2i78Z74fcM51vus97znv7r67OzNO2NjGxuQc FUA5R4QCiCwhkACRhAgSGYTIOWcQiJyTyDkL+Kq7ATPY4/Huema8X11tXUVb 6q6uqq7nrifcD+UVhmCHx78OIrwJxrtyPN/hvSISEgYH6vr7q03D9QP91Z0d ZeCCBkNGcUlq4b0mqjil1JAZp45yo+NeBvk9CmcDmzUHmo8jHaJSfx2A+9GR DV7qH53o//WGEMxN3N49QJZZsMtjyiLIUaJEnZYYKcRKuORosQuD+IEKKfad mZ4uTHcvvi9dJvANwTgyXL15hIj0pJ6Roes/2nvwswXOJ4hUr2HGoePjo8Wd vdniWiOaH2YTSHsRQHuPY/NlCptA+jN/KoBPSq3mL+74D0SuLCPdFgNO0vqG e4kSKV/xmZxKyCOPmHvzS9RytVQcx1LCfjLyJH5ShlitCc/IidLqZMmaSImM J4wL4UXx2REhrAgBUyoIiw/LL1Dp8xM7O8rnZ3smxltnpjoR+87ayrBlZXh7 w9zXW0mXiBAabZwomh+vpkYmBAljXmMYmtKqayjP+9cmTHzounD/EwCZru7i E7/D4bsvJ6cAxx2fnBzlFaqiFYz45JBHAEmeEhKmoNHD/TMLE776QaAsBmen O/u7i0uL/aDbH2qQlhYGDg9mYHKhdYiy73rny3kN7gvyHpU3dlAjlY+gy8Xl 5T/dxx/zt373e8zPFmRQ5LmyF0Gv7Ih+2DCuPQVaJF+i7ozIaPoLH/pTN+Yz TwiQvMYFv8JQXqKggPqnLmzkVX3uznzmxnziCp3JKKh5jwr1okrB7uPmWyw+ cIwbFOWGqNMXVi1vfUMB7Hnmwn7hwXjmToeQktuDvGx3nEjP4MoTF8YLN3YA K44jUxfVtnz5VnA2sU8y6n5yAMwA+Wkfr4YnaHd2ZwFE/93eUcvGMisKlZ4X W9NSnFEQL5ARQ+UkWrhfRqFibW3BaNA0tldQJD4FZerN7TVSRLAT0xVyw2Z7 uLA+umojXIIfsQrE3OUeKAgorNFWNmVLlVFSpWRzZ3JyZjizMHbVMrSxOQvz bG/NL40fHS2CUa1vH/hPW8IrFEDLuHeEIIjl7zMKCrQjPdCZ4e9I93Nle7mx HxFieDjSnR3onkFh7NRifV13x9bu7oplwdhUmF2iik8XihWUh07a3Jjg+FRB d5cBrMZWq8UK2dfg7G9QAPs2vBpAvuXL64OXF0s7e0uaspRYTcjJCWjtxvHJ 6tnZxjGUBOprN1MP563Vetnb23B2dowETn32O39sQVoyNGmOz8skRomq25sH xkdfYN3dud4ONI8PJNobLPMNLugd+RGIRT+KzYezFkJfs8V5l9Xm7m1ODg7U 6PMhL6Pm5oKBvuqKisx7/Q+ARqWlqWVlqeVlaVJliAfH257sZ0+BZpczwytA 6OpG9XVESciC+Hh1dkOzsafb2FCvrzBkQvjq5xALfFaUpeYXppAjeK9gxtF3 d5lw31MCPxBQL31INl5U8L6/8ea89OC44yP+9oH63+8phjooHNWytdXc12O9 sjb1dQWHh3AU0dGZarSI7cULdqTh3lP87zC5qxPDzZmBcaT7/xj4Pq/KcPNd JoUH8211deziAs5Zdr0Hdm2wM+QGPMM3CkqznvqSAPZgRsqcSLwfvEkBvLB8 Q9FzfypYq8GC/JMv+e9eRFVuUWx6hitNtL69U1TXsrACmeA/O2MX19aV2VkJ amFKpiQ5XahKEySmChQpIfFQMvcQVRo4E5qULtRkR+bmyXJy5bn6xIIitU6v bG8v3d4ct6yawLG6PDQ53mYebZqe7Jid6V6a79MU5DwPoD7zp/iyJazYRFmG xlBfVddaNz0/B3No/wPdfv0glep36I/9q2VlbR6go+Y2Y0mFRqbiIpa1exNb YqpQEk8JjSdufo447tMC/ntvb+1gb3VzA3LMfgSQVpYGwFisrQ6vW8zHx1+7 N7zHmeeXl65UobGl63Af7Iu3zi4uKREJsqyCu4b9My/L9Z2v4D9BF/DHFqTZ rQNt7lyv5CK1LDdZkCR9HugPNiAvfBgAEUHoyB/AHuYzD8ZTZ/bLAIothmAT yLDxpz91Zj33ZrwC3/RmQnV39p/ekiKTCuhh6r/YUZ960TqGRiE21G/XIdd3 7pdxqcW2Ppxn7kwImEGxbEwkLxtChQSxIXkzbPwYNgE0BzLWiebb3NeGvJII O+svvV8nJ+eLy7O/jo5gDRKSe2hqdsaysQRD+m/1lL9Ydnc3lpdmDPV6ZkQg QA4MaQDYd0DB79GYUDmhvadWnhZaVauPVvOoYb7zS5NLK7PuLIgxGw7/8UT8 fzwgmvd7OxfYlXsAaOTOdceJ/SQKcpiSyozAhsqJNKnv1Fx7TUuOWic9P7Ps 7s5dX2+Cz+l5E9is7+wdOqIlntTQuOyMwFDBWxz+TTDxNZZgR3iMkQBweh1E fo2hOzO8XR+wDcBs8y74SGJEZoQwRTg2N/rwSdW6WKGcxI/FPQxhY0WhEzKF A4O1ZnMLRBF5tDS3ODK7YN7Ymu/o6zE2dBgba4fHhm5uDqzWNVl2wvBkD1hI rJcrYLBOTxdOTpcKa9M2d8aOT/e/3M/ITufo5FBnSDs/hzIDWiyLWm20ebRn bW2xowMyEFxegk0VpN7/pxeNb15uiaSmJljxkZfWS1KUxJ7i/YHuyItnpBck vUST3/6MawhtT0a/xvu/wQdAMOmh5w/AJOC/ggNwglBjraagIKmjrWh6sn1w sKm8POMhOoIAUom6uESdo1Pk6RMoIs57THBMYhReivlAd/ITuAaFuT/3DP4/ thR9SbGxSgdEan6+qqBQ9akjU2FRSlaeusyg4cqkLzD+MCcbHAqHD3qLx7wj +jtRfd6gMT85sfzIvPq2gYvL69qWwYERyMv67PyMkyCwCXIPCgvpGOrf2tvR GIoDhewQZWyAGOPIcHeg+TkxvKBQGpY3TJ3qhpHQUEKuO5vYNtj7HaogLs4P r6xQCg/r5faDTZnl+np7frY7XhXpx5W4UEM8GaHPYDMWQjpkA6trQP2pHwUv iVXl5v/ZLUhdYFBkF/1PO9+GbsjGYb2drtdImFhla3cAL5IWpcRLZF7MUB8G lybhhUTzxbKQ6ERBXBIUwgbR9ahDYxM5NQ25ExOdY+amrs7yYtg2CtByX2/l 0GCdeaQJoKOJsdb52Z7FhT6wiykoTDIaNUEh4nd4rj2e40QW+HEjfNjhrtRQ RxK/x/SvBpZ+XwP2SbmfVEjl8vJyctoElpTEdHFCSmi0ihOXxIXywKZC3atK E0sVNFmG8PLyayyGsKfs0ebUZPvCXA9kXHtoX1von5/rt6wOW9ZGAEba25mA PTO/treQESmsbnSmhM7NmU1DkCGMGpn4ky9pdeML5Oe/kp3837dcQ9nYLzLL MwfGIb/lrf11Z2rQTy5QOjMAil740W38qff5O557MV4GEqHz/vRnbgCZQPDJ BoJPkFM02M35UWPlacV/taf+9QONEJL0zVuLaJD0VY3PfGhPPeg/ulOfejCe e0KgCGqhM+txXJsr860/150giU0p/Jo1cHfvqKGtFXG9fpS76uOBRLHdwAvX 1Rqsvvg9Cpi6dXUFhQWqWDWfGYniwQ45vFgc+GRHYRQZoqhkdoyKI0sVkCXe eSVJHe2V9bX5KblyAJAcaD4AHXnz3X347v6hHvAGH+LWdmO5urDcvPke1AhM SBwUUw8uxYcvKFJQWntKwDWn5jpKqjLOzwAI3Nrembu83Li4tJIEyX/7QHkZ GGQT7PUKDTFDvntsFrkDSCTUKyzxJYrqQPV347g+AkgBIrRQLZblJpimx69u s0ldX1yezy1NDo11ZxQoGBEBvDuYxI7EZOii4U306cHBwvQc+MkuOC4vNpFR iMoUpRSqKloMR8fzbwmBKBFjenF4ZX30Tst0bNk07R1MXF+ffKGfr+Hd6unZ Sd9IR7iSUdtcAk7u7++UlqYByT45MQAEOsBLCwtTABhYLEu3v/odJSzSS78k XE7PzsBeYHhy4jXe24PnGSBE1TbksKMiX2LwHpxAOyIKgNjXONRrfIBNkA9K yPAPodri/V8G+yEKJegLSAwaCfOW4M6PZY6NtlbWVmrz80vL0h/FspWWplZW ZgHUVFSSHJce6sV1ZsVi49R8lNCLEUlgR1J9uG4ECYkiSORKE4qKMx5xBYA/ S4rVJSWQO1NZaVpTQ8H4WAstRghZ2Ui3AMkWoO4gmmMw+aUv4QOG9sIdrDM0 VWaOaaRneKhpcLDx8Hjv4vIiuzLHg+f1ger9AuOCiyAOTgzXdLa9wHh78TAe XA+ETx7Mt3dkl7dEDyeGhyPDka8Mj8tOb+mHAlqtX0wK9geU61s99keL/+2x cXmxbKwvXbWMBwsjfvQm2WIQaHTrDo1Et70IoPmwxK+xDAci/z2O959OqIjU 3JtPOBBAWVnf6hgc7Rwyt/QNN/cOG5raIxKl/OgQTgSPF8UTxfHlybAETxcr 00TmiWYgCleWBwEuQoYyP1+Zl6fQ6RLAAVAuOD/YXwMAEoBJYFYgCKqpqUAg j38RQM8qq55ZXDk+Od07PEJSSv3/slz/sk5yaLw3Qy8vqdIKZcT45BCAkeRJ /MRUoTJVKIjG3fog/ar6CNrj30zNzfX01YOxAABpaf4jQFqCD0iDtDK8ujy8 sz1xffUrebVuYAJScCBqOlBOTk8Bps011E5PdG5tLk7Mr/zJBROdob+6ujg8 2r25OgML5M0DEGi9WD85/hViq3/f8pBadmR64g0e9dQNJhdyZb0AOMSVcQs5 nNnPPWkQLvJgwsY1lk0A5L8NzoD/euLMfO7Gjk4ufOMTArDKn+3I4ar09e2t 3f3jm5tvmYkDXOrs/MLY0ONDjnbGSmy9eU9cGJ+N8YeoM6BYNsb/eomJStHD MuXL9JU31c39fcP9cOIqiCbxs5a1m+vNVctkU0crsl6BFez66ptRu3+hXFyc GyuydIXKUDlJICMA2c2OxiDk0oiyJTSOkJQhAdgpTEHL1sXn5yeWFqvTcqO9 eW4ebF+s2Csw1A0rdvPhe32g+PvyvdzYDsIkWkQ635vnSJEGAqB1q6uJCWZG ouXpIVEpbEkCNSyRps6V7u1Mbm1Nnp+v1bd186Ky/u9rIhhiMNavfJg2Hmx7 Eh6JjXoQJxWI+PkjwVNAzDnSfN04D/kq3dy5nr6CQC++nzPTPa8acql6uLAY GwtYUWiAjvhxeCTJSEd32cW55fLioK6ljRyqIAlSugYmFlY2zi8uzs7Pjo5P O4ebwTP68Ml1XZUCVeRTtKcDFePKxMmzVYPjnT0jTetbk1BY4vWXMC2iPgIg LSErPKc0OUxB3d6GEik2dlSIZUSAkQoKlNXVeSZTZ2lJakN94fBwx9HR7wSS Py2/BJMOj0+U+ck5VXkTEwNd7aXhSrlcLXNnBv0YECCRR/Ji+DJNgiBRWt1Q GJkme40L5Mslb4Kxtjh/OwIWGcr3ZJQLw8ObLMCx4+18+TUNVUUlWY9i2RCG bb0+0TRcn1Oe6BfiGCzx8Q1x9he4ZOXGYekRdgEsdV5qVV1tc1vd7EzP4EDN Q4wEfg6O0rJUQ3lGcWlKfJqCKo18R4LdvB8kZXtHwASwg2wDA2hiriIpTpWe ZjRmaLWyvLx4nU5RXJ4xPNjU29foE+LnwHDy4HoDFPSOYk+NYznRg14Gub2n ODnQnZyZrhgJlhpLKm3I6xttjcyMQkuCg8N4+pqKL6dM/WPK9fltct7PHBuI ZTm7tPDPbjjECxrAJAcC92UghJSeB9Ce+VP/7kV66kcLS1SgeEJXmnhwbGph 9TYf6MnJ0fHxIfj8rGKhua0sUc1LThclQbY2yIUYCPG8QsXO7sTBwfzUdAdi Vx03t0xOtE+MtY6ONA4N1HZ3GcDgLs73gQOJNG9vL9PlJ0kUcbQwqTuV94M3 8W+euB+8CP3myZvvyTb9G5XN3f0lyxZ4ytOz84ODnbPz89XV2Z0dy4X1QqGR xCjZqoww0LGF5enSRDqAoLqS5EN4Gfm1njkHL/fp2W7PcCdAQfAx+MjEBs5A nmBrpp2tiePDZevlLpQp/mr/s94FiM5BV9kgVmke3j3HUGsXzF5anh3oq7m5 thLDE6LS0q+uDs/PV6yXQDJuXF1BEPf8bG93Z/nKeryyNHB58XvIwT+qgD3U pfUSJ+X/5Of9wo0DRYE5caCMHg+BB4yUIFsbrJyx8aM/96YhJwFAsvXif0CJ f3CgP3Pl/ORKxkiIbniJSJFz89u8DvqqhlCFxpMqfuJB/phzxBliSfrJkfXE k/ajF+mFH82bLkkvKrmC3fi/0AyY5f2id6i3pqUR0iTtzcNJdTevrBYokP/O KwnOZrUzMNJr5yfc37fc3OxdXx1CYQK/fQHwrr3NmJ4dTY8IUGuksclcBCAB YIOQBSlSQwVxeFCPUrFEclJyZphSE5ZWpPDivqdHobAi96Aw72CJhzvbB+Al jMgVK/as6yhhyYL9BM6EMO+H0fSQR3QcDkAvcLCkKNNoQ3NTwexMN9hqRCRm /j9/8g3iyHJKammRiifueLtg/Hsy5iM9IB77loAFn3aEIKiODwIy1xFWYT10 QAKgyJWFDZKEBIfzB8ZHH43O1ZUVLOBZxSqyxJsa5suLDiooVp5AaYLBPuVy bGrppSfvP17if3Ckv3DnOGPDnYPCXfHS3YMDXqLQjYULENKxEtYbfADsVBPw HONtT0b/zdc1xwhm477VuvmlfoabMTk3Kownp+nlcemhuuLka6t1bHqYLg0Q xZP1BYkQKshPSEwTavLiwCa6oiJr/2Dn5jde9u/3axPzE9NLM+1DHY29TZoK 7c3PvR8ftWFsrLuuJrens7yzrSQiOUKkiAa4rqI8vX+gNq84tao6JzReos1N qKjQpBWk+YXQ3+AhjPQKQ/lACfAPdfVieT1xw//gwHTBigpK8sbHmru7Kh5S YVdUZAApCbaxoUqKX4gzDppjXuIEap4+XhIbyhCGsMRibwJdmZ6+tTE6NFj3 0EIH5S6p0paXpRcWJCVppB9oni+xaFsM+S0Rg0REvof4IlC+fDQrDhuppgSy SHFKVUtTLmgtYuADR74+saUpv6OtpL4hLySB+Z7i6cLytSdjbYP9HajerPhQ hkwoTBZ0m2oPjubOz5bBxuf8aKG2tSy/zjC5MM+KjwwIZbb0d19+VzqN6/Mr 68bZ6fL15zCS1bp2db0LnhwrCP9A4D4LoHoyhO9wbACNbFA0RrgEYBJ/rpga FlFbk40TCJ0pYne6BHTQ8dH64uJUZ2e10Zjd23ubIwnJv4Lc9uRkX1+ijlXy FFDusFv7WnxySHp2ZHlVemVdVllFGhh00O11dXkd7aU93RWjpsa5mW4EFC3M 9Y6ZW0ymJrO5taunhioWORGY/+mExQrjqtu6K1u7gCCeXVr9Dm2a36qAjtw5 OB4an2FGK3KLdTpDeU6Rvr/H2NxiaG0uNI9AvDdKrbTIqJmaGTGZe07PTgbN 3UfHB2BH9ovXvC2w3th6fEs7c7O1tWFehdREQ8uLPwNIiBvSyvLQ+trI+prJ sjoMKhvr5o31ieOj7ZufuwQgS8fe4ZEHQwINzc3NwvzYycnB8enZezw3vbBs YXZgZdHc3DfKjlOcnqweHCwg+Rwn5szdg4OzM+BGg6cn+1ubE9ubczAGQw7o bTo9Pbi4+KfZL7+jguxDNeVFaDELGxL1N3v6czeWbQDhuTvjI/a4M1rdV557 0W8zetyF1f/oyHjmyv7Jif02CO9J4/z1PfNDEO/o9DFR9r/eWjBZ4tKK/l8b LHxr9q3KCPZEsvFmvPHnuFNFRGk8JjQmMi3na697fYCkhgfrj9W6npZbNL9o PjxagK1pWxBGQjJWwwFu7/1DolQF19cHV7+9+gjpuqOjvbra/DydQpUhKS5W 6/QJAhkBABhE8wNwkSCOACBTRCID0ibJiLyYoJhUfrw2PEjkERjirNTFlNTp vLn2WIknOLx49pnFSmVetCfnPUbsiZN4I8qoj1nPYHpGcPFQORFAL0Nl5s31 5tHxcnZxbZK24vh4+eLC4suVvECj4SxsH9VHYO8PA6SgN/jgNzjc6yDCOwL2 57ojxD3bwzskKDxdpqs2nJ6fX3/ukc/OTwZGO/MMacY6fWd79d4e2FPvQkaH m52dvaXy2nobd96PzpSXAXi6VPmDByExVxetUT5Beb6D7ESBdyw66A9UrC3O jxDB39yZhlxer79EvYLcuqhaSxJBgl6dF8OPCU7SRhhrcsVyEiMSlZguKitN KylWSxPozCiUvkgFRPz2zvo39z/86MPwc/wTpYnJMmj5qpCMssy4HNnNHXa6 lzuHRyfpupqLC+vp+XFxhSYvT9HYUDA8VF9VozVWpANw0tJSVFuXp9cn1tbp CovUZSXqHH3a6HCjRCX70Rf3joC3p3g7Mjy8eG5oiQtK5EIPE3Z2Nze3Ny4t DgI4VAj7nyAcOOXl6QAdDZpqiRH+AaGuKJF7mjaquCglV5eUqo33p/A8cRxv Aksar2pqzC8phowy9xok0ADoz+JkbV6cTBXhRSe8CoLMZG+CCbZg2kD22QBH In5wuLWvx1iYn5yXl1zfUDw4UIvI6MLC5IqKzPa2su6OMkZEBDlMLMuUvQmm v0RRXmGotlhwBGvKNNbL9bOzlVud8M3G1bXl9Hihf6jWg+sjTVds7Gx3jwyh RJyhSdgr5nsR3ACSnx9D0RCbn+MY2QBPlG8sLa0u/cGH7EIReLOEf/MiupJY dQ3FU+MtZnNbhTGrvFSdrUt+E8S0w9KkyoQNy0hbW1FFhba2VtdQX7C8PHV6 AjHkIHOm2zRW3tih1KiiEiD27JQMYXKGSJkqTEwVylS8iurMToCxO0pbmguR bHpg4MDw6XQJoFJfrxs3tyAB5gAsTY63j4w0gWFqby9vaytNyEz5QOAk51f8 0V362xakGy0bFkmiUqPPamos7O0ygPeurbWku6O8u7McYPhxcxeQXUtr83uH u790hS/dwnp5cLB4Cebz+cruzuTeDsAkYwCXrt3CpPsotv7V5cHNdfP25vju 9sTuzszeztLe7uLu9uLZ6eMMOwg2Hp6ctQmkxWToQX1osGnEBHGwh6dk26Jp C4vT/T3Vp8d7xHBle3eNaax7dc18ZV3f2BgbNjWPjDQvL/YDhAbw2MrS0N7O zNHh3PHh3NXlKtiKbm9Nbm3MIG3/13v4jyrXd76dLgz8/OoKOUT9Zzvqezza leP+AlIQfUwI+zCsHvKFdn8cZQ9FjTmznnkxbALokHnLkelOEUwvLt58U4B0 y+CxvuOAlvz9Aw0xpT2HsopAKUjsgmlOVKY/L0yk1OzsH1h/2SX7k3J+Fy2y fXKyPDjSV1JZPb9kZoYlzS0CoXx4cbFyeroMuWdfbza2d7DCs8CEhSkKf9uC PO/+/nZRUUp3d115GeTLkZ0nQ2DMvSczQEdCOUkoJ0Kanzv2aVq4X3JudEx6 qHlmmJdA8Rc4Y8QefgJnRhQmUsX2D4X+RIvcg8Se/NhgSQL1oRIJAUjc2KCQ WLwwntTQpr+0HiG8WQAuXl3tb+7s+XOjf/LFPCL3e09GfaBi4APtRA9wY3t9 mtAZzhDn6sJy9wkJrOmqvfmqGXIFq/IQjLo1ND7AjU619ea8xvtxFFHoUPFz tO9bAhoiqcDjbIOICPMhOACEs8H6KHKSwK+uvqg+uoGVVxcX591DLYgnvCSe IoqnUMJ9E9JC1RopAEigwzOyo/ILVCmacKh/ooPq28q/zUj/cjk4OkrUp23v bWeWFWLCCLlVuTHauJRidXJRyg2cZ+T+m92D44F02X+8xBnqe82j7bq8eACn y8rSqqq0kL6lQFVSnFJTk4NkjC0ouP0sKckwVmr8ODxbnO8Hig9GhPLhe/vz fehSkkNwkDJbKY5LDqRyS42ltTU5RUWqmmptpTELiMjm5sLdzcnaFp1viFOw xIsZgxUqqGiRG1FIUyYn2vtz/8czihc+VKdX63TqnLzE6qrsW6/swqSO9rLO jrKZyc4UXYQH50MgL4gXLsWFoRzoHk50P1eWpyPNy5/r3d9XPT/bU1ObC+5b VJRUWZmFyGjwOtTW5pqG6uvrdNFJMTaY4Bco8msM0yaQ/paAgYce/WOAh7G5 AvLVt67dexWCd9xkbnNnBzxFv7cjBNZ1tQEI+tnEJX9gAYvWxcXW4cG0FZI1 G/fQCKlcXKzOzXQVFqfzIsM0hfkd3dWK1MT6ptL1FUhv0N5eCoYGDLomJ9GX wS0pz9reGB0cqK6vL6qqyh0ZbrCsTm5uTK+uTOzu3nreZhRX0qKU4LALZr0L puEFbG4EMzqRF5/Mz86XWSymyck2s7mlva3ko189rAwEn60txQA2L9+5vljA sQoO0waswVhZ7JuZ6Ts83rqEypdD+/+lbK1/bEGea27O1NqkH+yt7Omq6Ooo B5/dnQZQAUdne2lfby1YW+6+f4Xsfb68sTq/uGzpHeoxjY9OzW9ug7Xr4PR4 cWK6f2q6d3qmd26ubwlmV7i1si1B9VUIqwwiB+ShBB/LEGoCg2Le31u/fiAQ EeFonpl/5kd5g2Wtbe2cHO+1tRQd7G9KkrP/t0OgWp+/bZmsbaiobG1L1WWv rAyPjXfu706BaYYAM/Bu3qmtBgFCRm4HJsDG+gjA5KD+765EQjZN6aX5JQ01 F5dn9ljmy4Bgd57r26DgJ84f1UfPkDj6uzqUBO0X2Ids/OhIQpCXPuwXgZTE HMjN9dum4UBmFNgm27hznkNIjP5XB8pTT4qNH+OFP50Zk5yQU5JtqDuBcy19 DTZDvrOyNsuQJCZk6HZ2Z2fmRhIz9XPzo298eFRRmvXyHCxKy6tIUMAe/Pm7 FtDCnZ11i2UJFm3q2CQuMxIlkpPj1QJE8wMENwBIj+LiuTFYTVFiU2elPCfC g20XJPEEcEicSJcq6EFiLyDRcGE+KKEbVuTJjcWFK2icaMy9M9JDmEQN86+q 04LX8+Zqw2pdhVkOoDf94Og4Ol1rA4Ud3ebhek9C2xEDnwS6P0V5PEO72uLf 25HfOdKdP+WH9OB6u3O93hLf0WRMy/b69c1jxfs1zAr+QIVyhTivXl9fgnUG J4mxxeBeenJf+JBsg1AfSFQgFu0QOiYilFPDFkt6DXG/4z5Qgp5jvFOL0q+u 9r6g8bulEtrdBJiht68pURvOkAbw43AIX6VARkjXRonkJFYUOiQODw6AJ0Xx ZEZEQFQKd2isxzw19A35BsGDzy5DO4uphfmJ+dnj0xMHuitKgg4KY3qHoPwE QeHpEQm6BI0hC/n+4fFhZXtlbmWBOy7yT29J//2eUlbTPT3Vm5MrB7PlUdTY w3wfd2zYKSXlaaRwgh8X/Q5FTNPISREoTgwxKUVp68nFc0LYYo4njilTKetr syPl0phUSaYupqggOadQ0TtUVd2cR5L606MxWLEngNyRSZzyclVjY35skprA DSPzwvFsiS8DT5DgCgxJJXB7ALYBy+nO5kRmsRzMSYzYnSMLUqQLgiVoeygC zt2X7+YczKptKC4tSy0uSTUaNYhEfth4MFKV1VpWjMCBinJl+UN5tPHY1xA2 hlA6mJAfSKTFVROUVNG6dh8LdnOzs7w6hJUw/UPZ0Ro1RswZnf6+HGPghlyc niwYDBkrywMwnz8UGwLAElI5O1lsaSnOy1PU1WgX5no3LRAOsaxAu/hxc8uo qXFqoh1Ax8YWQ0auemG2Cwiynm5jZVUuAKUrS6aV5bHdnTlot1WesbGx/OC+ 1zOLq/WdPQnabIU2T6lRxSnZhsqM9VUTgDpbm+Pbm2NAFM5Md01OtIEbmUeb x8zNI6aG8bEWIArnZrpnp7vAASqI3BwarG1pLu7rqerrrb6yfsbPAfnzPib0 372cnByMmNoAjLwDRdBnd2c58md3p/H4aO8rLYy3Iml98ycf4l/cgv7TEeXL EZU3VrV01vT0N/QONM3M9C4tDgKAND/bizCZ/9wTaejocPb8fPnsdPHkeP7w YHZxYWDc3DYy3HpxfnZ3i5vb9fXmJkKdA+CQMq8UrD0AyE2OdzR2dv7dC/8e x+of6pEkKMsaKmcXTabRNsvayMryEJgJCMPALQC7ve+tsW9pvh9CyBbz4nzP /t4Kcrev78bv5028LwiSzK3Ke4Z2gKK/WV7PPBj3AOkZTHP0ESx9oju6dwF6 7gFFtyEpZZ/7097huGCIb745QLqL5eFHZ/35LdmPHiNSZWJCYyFSggBqx+Do r1/i0ePDIzI6sUATp1JFakF0KissxTVIOjphqmtpdESHHR4dQ6kdDxZTc4sn ZxeAqL3+vbk4oBY2NBTpdQlp2igOlNoenZEdDSGlKDQvJvhhUPxDbAMwDysG K8uRJhXInGgv9dVZE+MDQISBbT4rGuvOehuWSOXKgwNDXJgRgaJ4kiAODzDA o4uwItHZRfFnZ0vWy72b682b61XwiRDFH50cevEoNkHe9hQMTA7p70Sl5RoN xfVVpU3lWRXalCI1NY7uwnJ7yIPkxvFwZDjRZQzwBYUucWoBpkT+dYBhvYa8 DW/mVyyOJP6r4MC3wXg7FPstHvJ9ehNMeGjsg8x8OMjM9zIo4DnGq6KlHPYZ +5JH7jXEuHXZ3FQarWTFZ4ofOq4jCrowBRWGoJCODsGi4DsMqT9J7CVVMb/J Io+8JydnpxgJd2tvl6+Ma+zttF5d+gr8fQQ+/kIyVoJ3YflK0qQx2tiCukLw 5a29reRCtQPD3h6PsfUSPHFhvvUN2T88m5oe1WrjHjBg/zxL7AN/aSCIdXql viAxJDIkIMRLEE/0F7gSpb7p2ri0LClLwkOyhbJFESiaMJCH8uU7Bku8s3Lj IiA9pAtB6hck8QoIdSFHBKRqo4zlGbGKOGFMbFRCTFicKCNLnpoZRwwPCBA6 USMCCwuSisvUi2BLuzSUWSQD+ByC6GJPP4GzB/dDsDiQIg3ChLn683wB+o1R aUym1vbWIp0uAbGs/Qzp5asqDBkhsdKnKISgAKFzh+cAEf0KTbZFM9ML9ZCh /HrjToNkgajyrRvqYkVMlgLp8PXtrZvvaVmG44ms6+vTtbUF21sTcBjm1u7O xP7e5G0KyGvLxuZEU0tpTXX2nZYAEk/TUx0AtwDZBCTUhmV0fKx1bLRpBVbs dHcZwCjPzXYPDzVurk8sLkxUVmonxlqGhlqODre2Nmdh5mfYTmSZ1Rcl5OTH pWdHQsSGqaFqTXhpmbq6Krulpai7qwJgrcGBmtGRRgBxYUeXEXBHAIqGh+p7 uiva20CrcsrL08HtKgyZdXWFVVU6ozG3t7cBAWPXD1JGIsU80W+syTs7O21o Ljs+Obz50lh8L2P02QKaPTjQ0NZa3N1p6IQQkQFgJNgKDNVbmgvHJ0du/pE9 +4X1und0qq5rsLi+PaOkRpZVLEnOySorGxzrvYYdYiGl4tXqycH0PTSyrA5v bpi3NsaODucQajg4DdMVzOF2+emtEcbOkrrWv3oEO5KFQ6a+3i5DR1vJxtok RSr/Dwd0SV3l/OKIJz307GL1YH96dWUYzCgw4o+cw39+9G+um8FLd3aycHn5 VTEsV1+MovpjCyKY1rfXgRST5ciZCoZNQOATJ/ZzDzoEe9xYcBz9r6T2uHNM uo16e+HB+rsHMSI1B0DTJcvGzbdef5DO7Ogb+59PMUjyWRdq6FM/sjgpy7K1 Y726+qeDU6zWq+n5NcvmLoaVkJhZUmAwsqTp8B2PwFZUlWWobRkAj/JLeah/ i4J03fz8RF1dfl9vY2KqEDL6pIZqcmPZP1MZ3YMi7J2vNR7U6RGB5fW6FL1M mhZyfnF+ab0MTWKExpNZccFZ5WrTaLtYGS5PV6XlSMMToCyxkUrm/RUANgAX ZEaiY1O4YBe/s7MJ2SKvj+B4ittg8+HJcR8+3Rbna08Jsg32j8pMvW+5ujg1 LE1KjqZ58h7xIHnbkT9wFJJ/tCuQd2hhdcMWS7UjouwpKHsqGpGJtljiz8kq oUysb4l+lBgxSsTqMlVfWrevr7+EYW7dvQ73kzPDQmQESQKAQ5h7jyzEdgkB 0djbfoYYqGTEoZHOpJwoVXbEzbeY5NfwRY5PTzBi7vL6GjlaQouTFjVUyLWR g6Z6XUXWwuIgPY6ZW5UlTZdWtleBnyTqlR9oTs4s5+jMRDRd+bcP1J+cGXml tXJ1TnFJWi1sUAMC6yFGKi5KKSlR30frQ6lAClU6faIgkYwSQ3AlUOjKicWV lagzs5OkMrmtJwtsl3BsSZZWyYmmYYS+wWHe1KgAgtQLfBMBOezY4NgUfjEE vZJZovBXnlQbdxr4lV0gES30QIX64sN8GTFBmTkxokRqz0BlU2eRn8AJwCpw BXoUmhGDpUWhNFoFVyJ1p3u50t3+7xtyADUS7AeGTW2jpkYDHDn+KIwOfJaX pYXGSt/cJd69H/03OMIzP1qQMGr/YP76evMuZ9DG5cXK6cnizta4UMXBR1KG J0dhX9XvbnG+uIRWsOPjjb5eo8nUMjhYbbVuXkOukhdHx4sjk/3zi4Ogq03D DavLQ8gufmqyfXKiDQCYpfm+memu3t4qAJwgCseJdjD6E2OtA/3VI8P1hwcb TU2lE+PNE2PtKytTy4t9uzvLtxrUva3MXLkyTRKdwI6Mp6dppLl58qycuDx9 QlEhpL7T6xPvj7KyNERbNT/bA9Fo38ZVDc1Od42NNoP/Am3r76sC2Kyzoww0 oLm57PT06P4dubg4b2w1AFx0enai1kToi1NyChJ7+iHunX/T5InWy8uF+bGe nurO9lKAiDraysISFGBX29NlAMCysSG/awASVV9eJe5ZMUFfra5M724t7W0v 7e8s724vbm3Mzcya1fn5mpIidYFeU1qsM5bXtNW39rUA3HJv6gJDcHI0n1ZY tLACMU9eghXfesei8sBZcXt3f2BsCrmpsan1iQ/pR2+iPDNv0txSVZ1XZCgs q6v9wYsYwA+/slroUbL0IiiBO8DhiBVv7e6Ojw4wFQFm3t+bgv1FLf+QFwpo 1tnp8eHnfLT+wILoT+R5ikAxGlSSCzP/5op+G8h45kEGMOmFD+3ZnffRbQib y+fTxUI46u78T06sV75MP35oAC/65PQMHvRv2WbkYmCgC41tiysboGJs6YpM y43J0F1cfBt3gonppSHzbIa+pqoRTip3Zf0sZ/vvRut6fHxweLjX2VEdLqfo jRlLyzPhiQxWFFooJ93pOiA5zoTOENlR6LjUkKJKDTij0ITFZ4oKqzQXsIrj +PSottN4dHywZIGMOJ39E3Hq0rWVCW1urEBG0OUnqGC6AAQdIdokXlwwNxpb VasHa9qjcUTetUXLqr+A8QIdEJmeeX5xBr+R1kXLUnRWLE8ZQowi+QkDHiYZ caB7fKD4SVPll1fWf8gyhczVssa6l5jA97d0gh9JKR+xedtTsE9RHmkluuPT 487h1osvaniQB1nfWN7Z2WhtrRDGEe57lR+HQ3oD8YoPQf6EFGsopVYKfnVw uDe3NHXzbQASvHO8uECL2XMry4RI3hOUkzefVN1eYD1bPYF3hVMLPZeXa6MT LQh9WWiKyJ7q4MFzC+RxX7izf3BgvXTneBE4//WGLJWrmhqyTcP11dXZD9EF FFlflHLP91hRkQnOVFZpWrtLAoVuGLFHsMQ7VxcfnyrA8gk5uUmp2qxUbXxC cgQzjIcK9USL3LBhrj5cdx9WAEYM2W0xIg8AmfgyAmwCTlYkywSREVGJ0T4k 4Q+OtIAQD4zEFS12DgpzI0p9fflOxAg/AMYoEYGMaAw4UrKkUMh/SVKaJuaN FyeQFZJTmuxFiOBFqLq6KnN1ya0tpX29VVXV2Q8tg/X1OrBbN5SnEcQMWxzq ESs4wEuvsEE8uXLZAoZm6/qeIf9m82Bvqra1hBJDsiPbefPRy+u/yDL9+5db ws/JWbIUUnAtLkx1ddX1dtdDW3J4EZ1aWAnkhVc1Vl9fb1RVaYcGayfHW5FQ MnBUGrO6ugxggz88VLcw14ucrKnJAScBbuntMR4dzI6Pd/b1Vi7M9YyYOtbX zOtr4/d3By/43v7O+ubK/OLU4Ei3OkuWponOyonVZMdocmKzc2U6XUJtTS4A RebRZnCLwYEaAIHGzS2ItQWm4umfm+02jzaBW/T1GKenutctU2srY8PD7f39 zQcHkGf4wfFx7yh00/zSlK7eelDp6m2IiqeXVGgARjo7v2Uqe7zUQJjh5Hvz FrsvyPw52N8G6Kijvdw0UCWKl2NDJAO9xo72st7uipoafUya9usn2cnx/ux0 /+z0wNx0//x039x038IMOHqrG6s0RYWqvDyhMoUnT6xurOjub1yc719ZgsAJ 5Ai0OLC3aa5vrant6NvZP/yl6y+sWpzIgsVVy/n56cb6kieN98SX4kgSDAx2 NDQUvsbQvVmSDwSeI4k/PjM4OtX/Gsva2p09PpxFLHoPPcOR0Ll7+9rB3jQc 3LQPH7+iV0cAW9vASHVb95Cpe7C/DnSXxTI/Mz14dnZ8cfEr6Yx/64KIp7G5 sTekd8NTJrB19eCQa7qagwVRL9w4b9Fgnx74wosKkBJMVc2AIJMX7akb85Fx DbKswcY1JLLsJ2emE5nxzJ9U19F/A+vx/tjH/Ppy/SCk+tOCwCFja2NtZ9vv 2iq4PQsLkxpNZHWtDjmVmC4GuEWayECUG+IEKpDaMvDSqAVApufo4svLMxaW p5dWZs/vptmjnTLYqcGkbacjpjqRjByrZHW2VVY2FlAkPvFpofzY4IgkNrg4 MyKQH4efX5m5+WRzh/TV9MKKGz30P93eceKhuCqkl6YWp+gyZpAUFyBCefK8 XFhu7lwPiNab5Rocjq2qyRnoq7VCy93Xhv0iw7K7v+/JJdvi/N+TMO9+LhMf 0kFD7ijB+Ld4tAsTt3vwKxwj19e3/k4TEwMlJanGCm1MEocF2y5BxwriCAA6 sqOxongygEbgkweBRhw1zPc+Kd6/XiADHxx1vbGzPb+6jJMKwAqGEhPeU9wS cpN2D6avr9cvL1ZgH3XI5nJ2vrS0vgB+SIwmODKc3ThujgSyB9P/HRbzwpP2 xBkKmohXxoXFyssM+pLipHsHpOqqbIPhZ5zYACABwdfWUjw61sySBfsLXABG CktkAOQTlcyqMmZl6ZJ9iJy/O9B/dKK60/wDBB6uJIwnmR4swqNELuBr4AgQ uPBkROSCfKn8pSf/qQv3rQ/XzpftFER1wuGcCXgPKs4fgCWxO4BhAfBdUDAe w4o98JKAhJREZVqkKIZHEYhUGTl9A62ZOVqdPqm8PE2vT4SUReXp4ID5KmEP 4QJVVXXOwGBDRGrcq2C/h8ECSMLctwQ0XhKNCpEOjYM9zs4V7Kp9cQkkwrIg UWJP8ZemRW3sbH0fyAgq17DzrtVqRYVEZxRXXt/ZHdoHR2o7IOVDYU0z2OkD sTU6MdLUVAhGs64uzzzSBAQT2NF3dpaDcQTgBMCV+bke2OBiGuiv6eo0AHEG UA04szDf29NTsbo82Ndbszg/vLI4cH6OsNUhG4QVQ3VuiSGzvCqnokbHi+JL FTyFOkSWJEzXRJZXpDU1QpFZM1OdiJRcWxl6GEUF0BG4PsKGtLZqWlk2WVbN mxtT25szezvzVuvtKrSzf+BA5M8srfUM9cSniC4vz49PDpPSw1K1URk5sf3D 7Td3oQf3sZxAUB6dnMWnxo2Yu2++SxXTbTTN3lZPl3GgtyK3UPN3b3KcWmUa qIbdkMo620oy8jJml1ZufmEtQk5u7eyJVRq8RI4Ty/ASGSUigROXJFKmJ2j1 6QXF6fmFKTr9/LJ52TKxtz8P4MqWxbS+eqvMWVsd3rCMTk51d/c1JOdmP/en utPFSfqyPGNDZWtX+8DI8MTM3sHh5eVtyqSYDJ0HQ0yPiDs/O8wpLf7Jmwgr kXLnp9pCYmN/8IZy1kSkpp+dLm9tjOWWFeZVlF5crDzMjfuAxBtKAwfmG8TH cr0Ne2J8lcvBrX5Go3seQMvMy+jrLu9oK+vqrGhvLR4ebunrqZoYH/g97TWf NA+6tbIgKbU4DVTEKQp5bvr2zpEzJgIdIn5H9n+LwyLJzp57Q15Jzz1oz70e RLfdGdcAfHoQ8s+28Wa88qfZBNC5MvXS2sZ9P3z79t/RwyLh/9/wyog41hiy 1nc27m+EiP6WgR6UiAXqB0f7Zc3l0H/9Lir63t7GxsbirS1IcTo5NQzxHWVH 8mNxCPe1NIkVkchoqC8sKkkFO75CKBZb1d/fZDBkHh8f3Dx4K5EG3/0JqpDt aWCwbXCwbW9vO6NAkZIbHZ5AyzdmGBr09HD/qBQuoiH5VNtzq5k/OKzr7Esr KWgfHL4/eXZ+Roml2ZHf29McgAT34HnakZzfk33QImJLS3Fvt7GzvWwdFvFf WZC7D46bX+OhdF12d/lV3xI+RUqBdsQgOwL+ZZAPWxEFOZncrbRfvsXq6pw2 JxY8Ozgemi8lCiorGh2tYksT6QAgxabwWFGokDh8uJJxcLh3/U3zQyUX5ISn qcjRoWXN1Sx5SGN7ySGUnnvn2mr56GkMg6XLy+255aUPFD83tttboidfEUaQ olxYLq98SW8x2HcYQhCbE8gJzspWAkRxH5gPdv2PU6EVJpWUqCfH29ZXR6LS eF68D9TIQHyYDzkisLwsNSFZ9ncHiguWExodbu8f8tyN6YBi+tAIWLFXADcY H4ZDi1wB4InJFOkKVQX5Sn2+0jzSIJHF2vlS3/owbL3Yb7xZ/twArBCNE+Mw Ii+AplAiN1KEf4iMGBoPhEhIsiYsOikkIUlGE0SA65N4XC88WZWp3dse7+4y 5OcrEWsaAuoAgi26U38BhJBdkEKLFrwM9rV/GE1JRL8Jxr8nMPGSmJI6497B IkLTcXNzVN1RKEoOY8lZ78iuQWG8k5OvDeX4HQoyi4rrWv7kio2DE2CB0jPQ 9hoD+XO29XU7UwR/cg2SZxU2thS3tRdXVubU1eYCkAPEIsBFoKMqjVkAnyCI BaAUAGO6OsshEbYA/QkZv8zNK8tDI6bGocEmAJN2tiE2+Id4Y219qXegpaG1 3FCdoy9WKdNCoxTsFE1sfnF6e2fV0nzvzHQXOMCVb6OWfm5emZvpRggkp6c7 Z6aHJycHx8f7xsd6FuZHLy/P7p8xq6yaGqWsau2gifBDJggRtXRUxiayM/Nk uuIky+YWJUIJcNT997e2LRW1enmyQF+c8nuPyj9YTk4OaxvL/Tnh/mxBbV2B Ii3RUKnv7akeGW7p7aldXP3oiPWoICd39g7a+k21HX0F1U3pRRWK7CJJkpYe rfqLO+5/2Pn9b0f0f7lgf/AiPvWjtPS27B8ura6YFu/ItDfXzScnSxtbU43d zTVt9e9w7Gf+lL954v7mgfvJh/jcn+JGE/qww1MLjcgdh8cnXvgDFIQvra46 Ptx2JXOe+JIBdh0a7qqu0b8NYr1CM16h6UPm7o214d3NUUOdYW5hyLIy9Agd IXRMljUTqIN1CVYf7UIxNb9WkEeeml8sr9T5MAUBHFF/j/HOp93Q0Vba1VEq SUhY3/5ISfGHlCOIWPWmobfTm0c9uzgnC9T4ULkXj2RPRdn4kSDA40d76sJ+ 5sp86Uf6JLqf+dyD8QwgKM872m1XyAfpmTvrRQCUHiglv3zAPPmV3vvfSUGa Wt1Z40B3UuYrP56/+y9KjKS6A7LaODPdWgYg4ohvGMT0S+VeClutl/HpohRd rConkhWJ4kRjiiqzIpXMyqqck5Ojqqrc8bG+tbWF4eGO7OxYhBTulzr/+ufU YfPL0zGpIbv72xWNBfuHe6aJfgCN/gn3YwSAzS7P8pUhhCiSLEe+sLYYq015 hvGhxwj6YXQEvQVdFRNjXft7m1+jR7JeWc/OLwrrK22wXh8oH8mW30B0lD/D SHbEQAdqEFMuxUi45c2QDv/w+HD3YPfTfkD+tFiWZmZGDg52qipzcnXxfIh+ 82M0HycaK44nAzjKjQ2CMksm0Crr89nRGDEApUpmz3Drzb9maUVeDfPsdFlT 3cj0JFbCFyTJfQSo8LRw02jbwc6kFcoU/IjUHSHm2jU01jmQ6J48X1scCi3A uzFRDnQvW3/CB5L/G3SQrV+QMDE4Xw/pGWpqcvLyFCOmhvZ2SM/w2OEZchEp 3F4fq2jQBom9GNFYX4FTpIptKANgOzEhJVYcG+WJF7/0YL/2Zr325rwG64Ab 4ZWHSFtShJW4YcSeqxtLI8Md5eVpnR2ls9OdU5Ntff2V+iJlfIrALYj7kyve IYgcLKJixO5okQdW7Bks8eLJCPkFyvLS9Ny8JGNFRnVNgQdO/F9v6U4oPpEn bWw2Ainc21P5yKX8o5WtKLm2Pr+6Jq+hrdybR3pDCHhoXwNzwJUBdtAhhdXl NzfHu/tzmzsT+/tzA2MdDnTXNwRXvkqElmAbehq/k6UJURYtrm29CeL8tzvu PY6p1hdU1uVL5WAhpfJiwgUx/J98KO9wnGRtQnWddn1rOisv3mBIb2srAYCn oiITAKSpiXaAW0zDDYjkGje3TE22I3gJ4SlaWxlenO+tr9fNznStroyAB9/b Wdremvu0PZvblqRMqTJVZKjKGBqqBj+cn+tbhn3CFxcg0ux7UITUV2AOZ4iW cG0EDBwAbEODNT3dho72skpj5v0qhJSz83NfTpRIEatKC1WmS3b3NueXF2OV 3BSNVJkmHh3rkarz0ILo7V1I93txcVFkyEhKFyWkxXrQuCvrW0gE1u87Pl9V kIm0tLbhQhOl67JTc3Pis4sGzBNwvvV/LEXvo9LSZ0orKI1Nz4pITieFxdgF s97jOY4kvkKbBYXYw476yFiAUdjaHM8uL3nqRwUT5idf6hM/6lOIX50I4FZr //DUwkJjz2BlU8uouc+RGPKDN9WbHnJyuJFdWv6DF/5HH5IsI3tppiuIL0zI ye0d6SqrLt2yjCzAikE4HODW2ekB8xLE6Q2GHvy5tzMF81EcwnqkX+EJRNQO uRUN0UmK/JKc//Yk5pdmD0JGSQgjgU10Q0OBrqLqj81xe6cE2Hdnk/rHITf7 7oFJaXqyB5foQA1+5ka38aUCtPPSm/Qag3/mxnikPnoBZYylP/cGGOleocSC c7dBuUjs8Tx7PLd9YOTmd3TX+dcLgnaa+hqdmZ72FLexudH+MbMBFrXnFxBa aB/qR4s5oJJVofULDTg5O4X1wBcPR/K3GFWkD1u7qyWJtJyyFFq4P1HoCSqD g61Z2mgL7Fa0sYFEVkJ7GaNRe/RzEvuHlTsN9q3pbXNne2554ej4MZ/Y1zwL Eibx2SH+6DZgvVBkytJ1qv6eSgQgdbSXGoxpK8u/4sCD/Mf5xSVAJL58zmtc AOyhfacxIKDf4IIfAqQPFOxzjGtSgQY0aX17fXVzPUYbixKh2wbbHj74/U13 djZLSlKRw2jQaPRyRiTqnl0ccVmPUrFYUWh5qiAsntrSXZ1vzAjiOyOeXf/i QCOdVlRf5coiECJCnmNdqDEiV7Z7tCbqxrpxBiXC+5h4As6VvLm+OaXO1+uM ZUHCCA823Q5So6Fd6cEOFLQ91c+R7P+OGOCAI/oxCKRI3+HBmpXFgfLyjObm /JGRDp1eXWFIv6NbvGWzAbK1qlo7N9s9OdkelsTwF7iQIwNk6hB9gaqyIjVe Fe+IFj11ob3ypAWzeHGqUAI39JkrLyRas76129BTGSBwmVqAvEpOjvdOjrd3 thfnZ3v3tifzCtPoQq4nXvjGW+iCiU0ryEWLXAJCXQNDXYPDvONTQ0uKU40V ajJP8sKNnpypSNMmOKJ4AeTQiorsqiqI8ui+kZ8G34G6viCJHSPgxIe5MXFv iQ/z3aBgF31/eyIBI4g0z0yDts2vzity4zgJvOb+Zp6SL0yRGNsqVQVJ30Mu tlu/3LNjearcg8aTa4uilJIoBVum4saqQllSPuhzsohjF8SgivnpWWJDfW1s ckRaZlRBYXKuHuLtBKAXMaXV1uSASk+3cXqy46Egu7XCrAy3t5UMDdSurQwd Hmwf7FsW5roR0sj7liDczefnZyPmXrAj6B+onZ839fTWToy1zE53ISIYcToC dcT3e6Cvure3squz/C7MrXbM3Do53j491QVmwtBg7czMx+BixOOiqq33XTAj RRMRpaDXNeZ3DE2QhYyUTJE8WZiULh4yD9mgWDx5MmiJydwTGU/XFSmzSqv/ 7IaP1z7OTPS9FTCjxmYXTs7OT88eu63+6lpxDUNlsJReQOwH1vX1xaGBxtGR dojUemF4eW6gsa3OmyV55k/9qyeRGBazf7hwerK4tzOJwOCt9ZEti2l6ok1X rE3SqGNSlBJFPC8mlhYeiReG4yXxzGhZUka4KJbNj+IWl6WExkudaH4vAoOz i/IP9rfcqIInvuQPBK7J1FFQohUkJAGxAIb7kVkNmVQAFCFm3OVFiJpyFaLv Nm1vzt/cnMEmtrOvcUCyXl1nFJYWl2l7uiqiVImsyOjebigGsLO9vK/bWFGZ K8/M/UOG+v6myBvBkkcqdVDmAiQ/y/zqkn8o/UdXvK0f2RaLt/Em25P9bXwh t23IoObOeu7Gee7Ofu7GBnjphTf9mQfzJxfaCx/I+QFxQ3rmBSUo9GaF5VbU 33w3SuyvKUhTVzYsCToNM573FO1Cl3Ga+zu9udSDY0jVtrN3CIQ1LkLQ3NcD pjGQZZkGKJdNnDbN2Apz+P+W2iTQvKxiZUVDvloX19xd3dRZeXRyuG5Z6utv fvgdaJt2drK1ZfnKy2aUpbux0OoiiE/VarXeW///lYG7/+3hyUHvWHdnb01r S1FXR9lHqpCO8qamgomJ3oODHesX3S+RS4UoVf/H3d6ZSnWg4J6jfN/g0YjH 0RscDsojBqeosCOhHKgYJ6YrMZoEfpJUkORA8wkUBb+jvPcO8d3cfcwViVx5 fLxfr0/Y3rLoSpJT8mKQHHAIOhLEEYQyUoSSIZKT+DJ8qTGrsaFoas4M8FKe AQnZ+5fmNmjA3MpSRHrSC6yPJzfYge7uycO5cz28+ejazrJrq+Xq6mP2ZDg2 5GBvfw4skmHJaWAL6cLAvyUGvCOh35MC7jKpBdoR0a8xVNAnrsyA2mZDR6eh pCR5dLQ1Nimzr68+T5fc22McMTUgpIsVhozysvSS4pSUnAhqNBotcgcAhhqF Jkh9leligEN0elVfX01uoaa6Tj88XClTCZwxbDs/ETMstaXLBB6hZ7RzYXXu /onAGtLYXDg10VLXUOQQSP2bPUUsz15a3ekf6/blO7DjiaV1uuQsaT4E0pLj VXJFisyfwv2rPRXP4YJ7CSOj0QxOUloM+N/Cn+dugzLblqXdgrqC5PJSdYY2 /i0hAIpi+8QV7S0e5c4GFR8vHsY0DbXz7OI8oywTJcaUNJVqDFlsBedWr/gb mMjvw5G+cg6AHYa+NBWghVRtVEV1tjItVJkmSkwFR2hyujA+JTROJYhIEMQp 2fWtlel5KRQhNSIhPC9flZ+fBLljVWpXlgebGgvy9VA2HIBSkGijuZnuxdu9 P8ROM2pqbG0ttqwOj5iaF+fN87Nde7ufYapBGr69swEATLlRO2ru6e6tbWzQ 1dflgVcYIKLpqY6Fud6lO4USqM/OdI2PtZhHmgb7a4aH6qcmu6cme6an+hfm RxYXx07g+P08Y31TzyByC7BvwoZGCWK4SRkiRYpgcnYyRK6MSeSARwafxeXq 6FQNVcLMLUwGIA08vlojDhaE/B8n7DN/ysIqtKz9W+y4P80R/A+Vs9PDuZmh makB01BLU4O+o604PjXRjxnixw51IXFcKDxGtNw8Dbp0d21tFGBRXVlhgiZD nZOhzc9saipZmGyeG2+eGm0wD9WaBqrHRtsHBxqranOVaVCuvfjkEFkyjxDu 6csLYIZLBgbqKOFRT/0oP/qQYlPTxkeaJ6b7Li8tWxtjS5AT+CAcL4mQCZiQ 2bUMm3dXV4Z3dya3Nif2dyegZG2gQBqkX913QMIFLPsQeRTMjTDQaywozW5r LUMYEsCfNXUFqrxv5uf5xabcISII14H6McS8d1dOzk511Ybj0xPEU/QGzjzy nuTvzWC8xft9oAU4Mb1tUXiIGcmZ+TKAYeNP+cs78p/fE//8lvLKm2XjC+Ei vDD2hSf7uSsHYKe/O9DRHMhf9/T8/ObfCh3d3LV2c2f7DR4lTZd784NeYF1T ipL8BKTUkvy2wR52RJq+rG1gwuQXQjs+PS5pLH1Dere1Z+kZHfYTMM7v9Ei9 o73be9uI4+W3beH5xRkAZoefU/Xc/FpvHx4fIz5vAAH2jY2EpSovLq2G1gp7 qqMd0X92+RdN5P9cQRaxzqGm6BR2YpbYWJ3V2/XRygzqpv66ob4a00D9pmXh C7dG+nBkapIcGWmemTFNjdd2dKYVFz5De9pT0XZEDJTWBM6QC7lnY4nOdKw9 zV5bkaM15rwnOzkyvDx4no4MZ04CjxnPGp4cvvk5jgWYsLenYW5hIkErJUu8 +XE4hEwbYCRWJDopQ6IvUGrzFSSxV0l1dkN94eTU8Pbe5pdB3dcU5HkBOnoZ 5GNPwX6g+rix/ZwZAe5cN3uq9yv8+8oWAFkPEYCEELm39DQX1hjd6Lx3BMI7 PO09GfupC9ZbAgahE4foE4OxHgyvgjKNQp3riBaSBXJVeubW+ujS4kBFRWZh oaqsShOXKtDmxsnVAn+BM+J0HQjRE3kwY7BFRSl6fWJHe4llFewZBzYt5lJj IZbJCZMrUvOqOvvHH6MLGFQPj/YsLU/29tcaqjKbO7t9KXGDo7NX15dooXuP ufP4YK8gX6nTJxrK08JlyW98+VJ5LJ4b+hd7BpZPjEsWoUI9USGBNfW5ZWWp 9yojo1GDpJI3GDLKSlOLSzR5BekVRi0hnGsLu6U97IEPZNR7UtAbgq87FBfg 4sx0LWooRiIZR2fM5BhKpCa6ub/l8Pjw26KjR3sKAAO+Uo6DX7X1tHYP9haU psQnCwBOkCfz5Ul8ZaowAU6LFqMKjVNyig0ZDW3VvEimL5OdmCopKEyur9eB zpmZ6hwcqMnPVwJ0BDoKibYGJwESvt/1AxjT2VEGW8T6h4eaZqe71tfGPkuP A0suq6E6R57EAxPDNNJR2WCcmu7ZWjdDnt4INPq5SgHRYMxOd6+tjFhWb5mW wSdSsaxNgMtWNHd6MiRTs2PHJwfTs6aIRDFZxEnJFEUpmA3NRTUdAzQxDfyZ oBYqkrmxSeG8aDGoKFJCE9XCOBWfExMr1xZhQ2N48tSr66/PkvAHlH96zb83 0vWbJ5ctG4cnp5dWaIIeHOyOmlpGh5smR5unzM3jI40jQ/X9vdW1dUVj5tbz 0xUAYw53xhSazP9wwDzzp/7oQ3ajhcamZabk5esrjNXNzd0D/VOzkxsbK8ur c5o8GZhRSWliZaoIJ/HBSjzF8SRRHMudyrGBsh7T7PHs1rbKy7NlKNHuMqRB WlkeOjyYRbRJoL63MwkGHaAjMJf2difXVoYuz8F6eAwzwHzts4J/uzsWhBWh EzIolPV1V8Acm2X9Pcai0iydwfjbWcAf2BGuIK0XVDuGM4udQM7yu7sw1cbF Q6SETLmhyTE3FrGsyeAbGvgq2JsUzXJjkJ+40J84sW18/j/y3oK5kWRdG/xF G7ERG3fj2+9+954zc2amu93cbZQtsi2LmRktWwbJki0zMzMzMzMzMzNsVpXt duN09/QcuhkZ5XJJqqrMysp8Xnpe6QsG25bJkfhFpxfVxqZXUFQB/+slS2WK oShN/+8zFgBOAB39ZCf4P6+55qjcm381dIQUpB8CU2PdVEJDjPE5A4cSeziw eC4SDlrGEvqZ3bnmueVlqk7FNEgUYfIXDFeOl2Fn91Bo9s6vq7qBWx2WGR6d F4Oc8E/y4oZTTX7JRfwDW9Li2qq7micLVilDjc4StpOQAZYSvknlLEU7CEkc P11CUcLp2enl1Q8bk8h55pYmc0ti6xvz4BehAHkFmhpzSysSrQmewQn6oGSf kWnEwfsbJr2T0xO6t+w5w92OTwYA6SWDBQAS2NqQxK+ZLIwc95ZvR/Vm4VVE lBRiYcJABJUoO6E9XkmfWXoPCiI7rb31fC9XjYWtCmDGZFhk/pSQJJ/kvPDI OO+83KiOzhpDqBhApsmZ4cPDT6PTby2IPBKbn/6IjHEU0hxEzgKzBK+kgDXd WYqHOaPwDV3Fp6cLFxdLMO3bjtIc/F8urLdsgH8ILxn0D8gN7ryw3vvXSeTq QGc/xUr+as9zoui7exv9Q6Nzi3IqylOj4wM9lESSDiXwI4tNVLIOQ9Zh4cgy HNkTk1IQWZgfW1ISv7gwsLkxPzTc1NVVMjfTUVGddHCwft+Kz2VMuF8mACZH DCudQ62bO9APR0fba2szhgaqS8oz/2LLfewif+OmtMEJSDpnVwWGYyCSPV1C 47wK8m9D2AoKYtLSgwsKY9IzQ0DNyosqLkkcGW7wi7Y8oZA+yHcDYKGTgMLy 4mPAIJe4ouVoMMKdxKjppWkEFQPcEpIRmlaefvPjJqjr9xlxz87PUoqLdw/2 keZ/5Yp5fgEF2m9srW5tr01MDcUmG/2sqoAwIOxrrFE6Y4giJTctMsHfiS30 tGiSkgPa2gqHh+vh1C35iP0xKyusv7cSLGSDAxBpIUBBCFESWM66Ossmxprv LSbg+NnpLU3N8dHOxwnZwc1Mz442NpdUVGYGRxiLiuPbWgu6u8rGRpsQJ+0P zC5jI41dnZWrq7MXF6dI0MwllLrn5PT04PhoF+lnjsEq95UlpplDY7xCY3Qc rdwUqgE7QZHqgdEhqTHAEqZA0sBZIzWWcIAMdSFgKY/VWqM8p+Yhl/Lt3X2+ b8j+IcQGcP37aop/sYKMk6K6FoLCFy30fEmVOPHUHgpfrk+w3BKpD4s3xqaG pmbHZOUl5+VnFhUUlBflFWeXVOQ1t5aW1xRQNT42ROELqhjUJx6CVzQxiqfC Sbw8lP5UbYApwmSO9AmO9Q2L1QP4LTcxZCY6zHuGJmpRb1j0v7mKH0NZj8UA X/mEBG+uDs7MdC0v9sKZRLpPjudWVofmZzvXVgZ2dqe3NsdOTxbAWNrcGFlf GwaQ6SGW+KrGXl21t5XV1mQgmVnaYJiEiM+dbUUVVZmj01+Smv94ub5C1AXH Y5P9K2trcDoqsN1Z31xB0fxm58HVd/b2dyobehBeMuROJhfmhqcnweL+CxFF 1HEUIT5PKeQnaIkdDWBLAUEtXVxfuT3/zbXQP7Skpn1rdz8yvUgfmCr3jQe4 KCqlTGVMDE0o+r38O/+MBcEb86uz5vj4pxSC0Kx1V7NfswmP0fyXVBZKQndV 8fE8Pzu6GMXQ/4qlOkodHATE/3rDx3OMbB8dQSO6hOfJxp4GsMCNz01u792y id6D4R+S2/SbzgC7CN4UNZS85to5SpxespzBmuIkxsOsRI5OYlcHAclFhveL 94srSPKNM9/cKYd/yOMD69Hm3mZNezlExgvnJwIAqawyKbswIirVLyhe5x0q HJnsv/k9tTniUn51p+cEpaG74QXL0VniZscjvmHT7XnEF3QO2AHtcpFh0XIs WoYFzURoKtEyPEBNKKkL1yjbPfiAsxec8zIs2bekJtMYr4vOsBRWpWuDBRQ9 xpLoVVaeUlwYd7i/MzzWo/SlVLdAyTd/VAp4cA9e0d4vWLbOElcniQvTl+Oq JjhLXRDKcZTEBeyHpAfeXO+09NapQ4wuQrUNlHGMDlEjcj6ERu/V208pKAne Q4smaVxxMueoDGNEQpobh0/ka3Pz4qliNU3nwfYmUjyxRJ0ThsdmeFEJajsS 7Ck0PNW/v7e1t7eBiHtgrmhuqzg+OULu/PLys8P44Qj/1DOFPtrfWwaLdXd3 udLXYIMRv3KVv/UQuytcGQYXgNPkAUzEUaqmNhNMnmChByOnvCIZwKTUjCCS huYilAv99SgR6zX73vvoLkkxn/iGS3IS4j3D1Gi+CCt3c5a54FVu9d0N8G3f rqqXX2RW/74yPb8yMbNoTo6hyI3//ZZrSUhp6u38yt9+IB1s7h4qjTqupzYw 0js4SgOqp8XTGu3tKhJTFLK4JJ+ioviL8+XtrbG8vKi0NCuSbq+qMm11eQCI IaCjBvqqVxb7kLi2yfGWwf4aCB3dZoXoXlkePj4+GB/r29mGYrcBjPncjS0t Ts/NDo+O9vT0NOXlxYBrNdTnzEy1Iz667+o82HbNTrfDVhggRGy93zrooQck ZDuyuADzWMI1YbFaL4ta4aeMiPM0hUgLSlMSCirU/lIYIGkDI0CTtWAHbJX+ Cmukbnd3BYGg4EwHB/vb21MwTfQNPJz+rZASkkU0r6rxKUn4iiaFE44w/opl IfUvcP0bnvOrG/eRO8+GJHxOFr6kQqvzT3geR6egKKQA4TwlQ1xGdK2P0M+q D0vUhcQl5GRPzIyaEww0HY7rQyDqXJDXnO9L8gwUcj0lZLmcIJGhOBKAsuxZ svrGos21gdKa4qnJDvB8T45mCmvLO7vrlhb61Naoo2OIVQzApIW5nr3dpdWl fjjZ5TesF0BoaulsTczN8Q4Jra/NbmnKRbRJoDY35XV3Vl5fnn3sPfuDevh6 cXn54mLl6Gh9c2vGKyhpZ3fh+nr96mr17GxL5hPvRPU8PgEy6UFDW7dAF355 eYqgcWQ2W1yff8vDv+G4WVKCcQquLUPwwoNhz+M9JlI7hnqRr13C9fwHLRP/ JAV5ClNzS0yD5xM36lNXoQOfSfHivWZ7vCRxH2OEbzkUWz7Jjib7zUX4GM95 5KywZdNc5C7P3AU/2Yl/RbOfM4jW9KiltUWxRe0oRhE9mXyT98nZO8Krfwht LyI4N/Y2YRV4jAIHlgwnER4txyB6FZTE1VHkzPRlJRWnPGO9iMyJ/lGPFenP ovpckZnBNrg33gEkULvbS6uq08qqUjo6K5fmRy8vvl43C5W5lfm82oKK1kpl mMpWYI+BUuKiAS5yErk9ZO1+UNEAB77leqCljN3D93gPbu6wa0y2NbsiWRcu yapMzipLJKmdOD4ErMxWaRXqQhThqYHbO+szc2ODE7d+FDC5xA/Q8+8f7tV0 1mIV0INwEkPqDhjgYRyErmg5Dtz5Gy62pbfeP876366oNxyI4ukLuAhAXztQ +dQ3HKotjBgd+CRXFYbi5YKXuOP5Co5Sy1crXrspsQy1xtcUHuvrpsQAWIIR kIgyIUGF04ea5Vamk/CZIUa1tbd5c/Oh5ejmG+er+6/eAyc4IPRmYrxtfWVw fKzaJ1DnQJI7UcXOTD5GQPbQOsnNDN9QaXy2eW15cH1laHGhp6OntKgmQWyi ib2UaIn7SybpkQfzDQcAYxqkRuORXsM7ADc68gmO8PAmaNDPCGSxd6Qhxu8l 501ebf7NhzQXP6Ag5zo4OgpPLrIn6W0wst/QvL/aCcDOz+5oodmro2+sb3jq KzsNfAdJABGbU/yLGz8xJzU0Wh0cpYOVSFqaUvqWIbZGaq0R6qz8cCDRn5ws FhbF5hdEI2QIALeMDNenpweDdw3AoWkYxoA6M93+AePx6nJ/R0d5bU3m4lzn nSfSxzfzPu/Z1fnC/CBARz1d5VMTrbPTHVCCWjin/M7W7OXF8dHRNsBF+3ur 21vzB/vrD3+K4NL+sWlbhgiymkVrQXNCo7VqkxKApdAYXWCEiqH1YWiUfsFa 3yAVZFUM1VgjNUGROjumzJkraOvrBXfQDUUNn/X01OXlRV6crx0erl9eHMIx U4dQ/Tcq4FU5PDpe3dyu6+jjGgJxQpUDW/aKJnpBET4l8R978GyIIiQS3way i0FbFFdqCdeSlDqsxCc8LTOvoqysqSuvujk6u8SanFffCbnKR6eZ3VV2FE80 QvEKJ0PEelkFYTEaWGunkfsqwameEIWOHIXKEgxAWnpBxtJcF2Rj3ZnSBIWq giIWVjchUApR0y9CeRU3pzfWJvZ2Z77DIfP88npzd79nsG+gv6m7qxLK1dJS UF+fA0A57Br0nhSGTCB/yDMW3mYWNXQPtMPZWLZqmwEIaoeyWl9ACVxau1sx LO/1jUkgo9zcAPg0tb09CyVDvDxHgCv4eUCS+TnTiWcSs3zV7mrx6MxEeGa8 s0AVnpV6c2cXeHfP8C3fk5nf3E2n/8yBBp8rSNOic7N+wtMwIuFvTuInOKEt 3/WZO9eGIHqMltjgBLYC4jMP9iNnOfj3N5TsMU7iLMO+ZZAfoRSPnWU2WPFf 0Xh9lC/dW/GWh8ar8K/YbsUNkPP2+vb67DKkMyxqqBmfm7n5O9ofr++4iVh+ HCeIVxD/HngAuELiTDcwAXxi+XE5/rq+sdGpxeml9aWVzZU/fpPbe1sT86Px BRHmGFVnWzESwgZqY2NuY2NORXVqTw+Qbae+vi2tA21cE983zk8erMyozLQT OKDl2Ls8Jp9ER8hHOAB0hWafz502ryYDJXpG0aF5/uShyT6RicYxuKMlHvZC tK3QwVmCFhtpnlFKkZmfUVEwOjON/BC8s5c/ggsrOD36GR1H8qQ4STAoCc5J jAfwBiAljAJjy3ejevHdFKLXbAqcU4P0SWj0Gsq4QXnB8nhCBdXtFQsiGH/N ZDmIsLYiR6Yn1WQ1v3FTeAUoXrnK/vO16K2HPDUtmCoXAIDkrnBFMfh0Pf6l B8tDENo7Mtg20BCZbYW9r9/NSD9kxCInWV1bqKpJ21gdTs2KD49V81Wa5+4c hheOLBdhBWySzsVV6aAIYo2MNsZmByitbLaPO0GNoujRJLWbPVXgKHR9w2YB dGR755oOpd6j8N/yiG8ZlCdoMXglX5KZv6LEbwmeeI6JqtZOL/8YwvNPNkcd EPcfzxi/oiRwoArkjfnYRfqCzHKgaX5xEiXklN98NHN+/oTQlutj9Y1Oa2wp NAZLAUCKiNVpA9RooZfKXxEeqwNH/ILEjS05W9tjhWVxnZ2luTkRQwO1Swu9 BQUxubmRAL1AGAZmdLxT77yLRVpe7JuaaKurzV5c6F2c6z7cR4IXPt0zyHQO yuryyPJiz9bG2H2mCSQFW1tbUUdHxfLy/Cd/fnQMoAvEdFTTUNDUViE2Bntb pGExnoiCKDACqmA/Ik4nMchfUoVBUYaASEtQhDIgTOtpVnkFqjUB+v9woGeW 1a0sTReXJJ0ez21ujPT2Vu5sj4GbOj2ZR/IRX10un5//W2Gk+3J6egKe0f7u 6vra/PTM+ODIQGFVlYdMDdDRE6IIzZeojCqwozWpFH7K5xSJPUdjjvTxCfEv rqlp7GiMzrVUtZe29LVt7e4OjXYZIvzdVSiaHos4HJI90RCFvieOrHXFCgUO LIkdS2zHkrymiR4ReL+68Qgy3VBfZUBUhDIoDC3U/BXLGhyHpuurq4ub673t rZGlhb79vZW11bE/yOF5dna6sjLb11Pb0VZydsepfgMD9aa28q2ttYdf/o4X +dblY3EjKCYNItiH4l/WdvfmoCyHd5HC52fLh4cLkD/D9drFxcrK2uQVRKvy TsUxMDmIkrjglK6JxelUvWJs9nYhOD49+dg29K+Hgb5YEFC3vLFqz+O8IIts MFIw3b1m0l6SGY+xkid40SOU9AWR/YzIg9gMUAgxpvwlhfWCyIL4xqEQP7GN q9ieTybqxG+5HhgF1k6AIelkYAlNL88Gy3RAshEjY7J85Ucnf793GXlqyaUp b/n2GAUOtjd9iB8cxShwtzQvkTTIGJWThJJgiJ4UQ6zP5dXlD1kfzy/Pe0Y6 ahvzutpKOlohmNTVXlJRlWJN8q5oyEXYkH6nFfAXDo8PaQY6wHLyYAXFm843 CV3V7ohN6gsVtBclwb5gutV0tHzUkGvE4333YIfrRwKyFUHtZE70lppZJK0z RubqJMGDnnGRYXEKF5zcHgvghJLhoZW29nd2DHd8d4fcFySwemF1VRLo66Ej uWvJOKW7vcDNQUAHr6GHhv2c4faGi3lBY76kc5AgtQ+8jAAusudTncWM50wP jrfcO9RkiDI7iznPKFxbHoHpTRb6s8HsF5Xon5waGBlv1PqayEJDTHIoWyH/ i63ksYv4pZvEgSx95sr/y1shRWqZXVg//9NSrCOdf3h0AObqsdFancn4HAdg jOK/3wheEjgkjStNT0AEW7BVBnHIWrS72pGodaZ742l6nGewIC4pyEPrZsvz eE7jPYjrJ9uxBLYUvoMQZ8cmPkIBiCL72UEMMNJPdgIUxXdj60PN4Q9sjtac 9N9v+E8xiveZ4mS/oSQ/OwrdBP7bu4c3D8KHv3y2kelZd7nf+PRYaLQOCPUR cXqNv9A3OiW/vMAYLIGj23SB4arB4ZrK2pS29qLqyrTlpb711aH6+uyMjJC8 vOjKytSx0ab5O2prgJceeg2BI+1txZMTLcuLEDPS4eEmcvEv39jpyf7EeFd9 XQbARSPD9ZPjLVCG3JGG/v7qlpa8gf76i3OI8OQ+KAjRr/YNto5N9I1N9IMb jkkyJOTmKPy1EMaD/M91iBENBku6sFgdmi8Ve0nrmsuSMqw+QQpHttSWwc0u zsytalxana+qSpud6bm8XIVl/507QrBbBgxQ11aHAZb4EU/1n6I8HKsZxaVx WblZxUX55aVltdWVNTl+wVobkvg5WWQK1YgNKrxICoaK0k8l8JLjReKQKH1Q QqKnSeomA7OWLVpi5yZ3Sc2Nq27Mt8QaiRo0BSIle1eBSAIEQHOYzteq8QtW m8I05jANUS4HuOsRgR+fFltUmv4znvOUBKGmmjYoz9HlJaQJXl8bm5lq3dtd hrlAv+fl+lgpdHC4C0XBXJznlSS2dUHqher6vNTs0OHxnoWl6d29rc+c6XcK ov8pruoMS8y4udmHkM9dgPB79TYrNBQ+fHmxDFGk7x/VtQ4YgjMWljfmVxcq Wisr2yrPzs9PYdvQD/GZ+VcpSEvDMpN+JdCe4uW/OcqeuvFfUhkADgHkA3AR wnXwjhjzjj8cgkwuUnD8OVX4ksF8DTHXURxFrhg55hkDl1VZwvLRPGdC4duO QqqHln9x+aetQJ9qFHiIqjDNK84btBzvLMXBagrsBygCwAAHAUEQoMYpAYjC YRT4eZhb6eNg1W8cD7dc05u7G+pQYUFpHJjG4VjO/IGhloPjg69UNiIXnV2e g5yL5FisEk/zZqAk6Hv10ae0RlhnKRZuKRqrIKFEzNKm2puPHGOC04wVzYXd PQ36cClARzQvHFHjSIYysYI+gfQ5yNlQUgxB7U73JGAUrnZ8nLMUj1W4Zlbm lzVXnZ6dfHu3vN86yA/qKiw7nGZg41WEV2wcRsZl+ojp3kqWr6ckSPma7QoE xhc07nOq4DWLjtAa3Gado+AonuLG9lKshJ2SHlZWljQ90ay3hthQKC9ZWI5S FxKnc1M7MbzwubmhwdFWvyC/2prs6KSQv9oJ+BqdE0X9Ai+zI0qVPlonipIm D7Un6Wuae2Hl2J/r3TE+2Z+QZnEkK8XesQxlsFifoA32ImjsEXREgt0kJCa6 wJ/M9HZlG9wBTCJonCmebgDnO4lxjkJ3Oz7Jlkt5ySTZ8QhYKRbDYdtgJC+J nF+cxBSx1p3v8xSjfOQsATCps2/8BhaCru+Sy/yQaQ2BAS09g4/Qwo+TVD5B ywDmDIwuuPmW4Ka9g8OVzZ3ahnxLuDo0Rh8YrhT4+A+OT8Qm+wVFqEPg0Daw tYQpM/NDm5pyh4dqD/amujrLEOLxNDh3zPxc1/RU++pyP0Ayw0N1q8sDM9Pt czMdACzNTXdMjDXPwWzYSwv9V1/xlO/0fou1tXktLfkAbt2n5UIMbatLA4tz Pft776hFkJ4ZmxyISwk4PjmKS7WYQ2XJmaGWSB8rHKMHqhVuCGhUQKgyPFar 9FehefzEjNC65gpLuNKZJ/8rjs0xBCO3sA5FX3bdJ455uKhdXa1fXe0dH+39 2yxVSEP2j46isoqis4teUiX/hab/hGU/IdLfMGgqf7HQj2THJYq9lcFRGlc5 2S9EqfJXqUwCukphsCoYOpZviL9PqBAAIYa3mySAbo7VsL3wZLUzSYui3qmP HlQ0U+/B1nNVRrnMV4kRKlE85WMC7wVV/Ks73xITNdpfLvIxPiIIfnHlqKyx 93d4eLjX31u5ufGHHKqRHx4c7kWlmyubCmcWJswxmt397bziBH+reHl1/vBo H4wTU4gUbENjPPNKEg4Odn/3tB9f5ezswj8sfX1z8vBo+fxs+SHL3AMm3nve OQiKn5weu9D9PIR+/mFJs4vrH5/zg51/74LMnN0jgy+Z5OckCcIW/ozAg1LO YSVQ1jmEQhzsuLyXkO4JTgRTjkueEkXPKJC3Erx+eeDV7gQNkHOpMLehB04h 0oRZKtsgBua/T5de39ltE4uTmL4ctIxqJ3AmaBlgcXf+0F0HjbjBYBU4ADz4 AcL+8ZEHPXO5uQEFf52eHo8MtS6vzn45A+z79wCV/cM9faQMLX2dkhPU3VHa WJ+9OD+KfPyVogfi9uOXYLShP0Ng0ifREVqOcZZCwMlRhHKWujiK3O2FaKoX Z317++jkoeYWKofHB9ZEb4oW7WsVS/xp8KKMxSvcqHoMQXObYBdxCoK9m7By kwCnQCATdPwtz+k563VweuT5xcUfWXEvriC/r4L6ArafQBnqKQ0yENRiaaA/ 11/X0NURlBr8im3nIKDYEEVPPIRv2PR79dETKkFh9Q5JCi4qTQ5LDMrLCc/I jqmpyYhJCUPLPMhKDkFK4fsTAdjj+njk50VxDUTvYElpcfwLnNiNo/CzBjxy lj9xEflZvSPiNLYeEluCZGh0/A9SuHxNuVXIX1+19w450w2np5ctfU0MAxRW A2n+dWiJkcb3JbpD0M7VGKHIyAyRm1nSAJpnkISgcXVTuxB1aEch9jXbxTPI 3NxRaIpRABDI1LJ9AgL/+y3fleNzdHza3jPxs73of71gNXYOQR4+F5fv38MD D4fvihxHfg/kHQ+R8Sd70WOX96h0HzvLfnXhNnZ3nJx8w8sCtjNzIyHRnjHJ xvAYLV0lbusfr6zJ9LOKw2I9TaHqgDBNaLQW0SO1tOWfHM2PDDdkw1nqktMC 45ONI8ONABch7tkN9dlIbH5DQ05vT8XkROvKYt/4WPPMdAfsrT1+83VzEfKd o6ODgYEmALSmJ1tnp9sQxdTa6vjZ6dHp6cHFRwlGLy4vwuO8+4faRyd6jcES a6Q6JEoTGW9IyjAnZ1piU/wXl7qTMyxZ+WFZ2eHRCQZ3iVTmIymoLE7NCvIJ MT6jSH91Y9d39kNhcRcr21uj1x+L/NCitv776rlvL1dfRNE/CmN/cNb7k99A ubCPrMk5+vBEpSXMgaN+y5SQtG40PYauxxF1zjITPTxGL/ajE3VOUiODpacQ tTiVUS0zUURGhjFEToG9jIBYQfPEiY00prcby+BG98J/gI4QZySSzpnq6Sr1 kQr0SjDJkDUWnMTwnCx8ROBb4pLGBquz8pOekUWg2hAFSIgZYjVeXBhf+yJP y9c3PLckUah3S82PACJAak5YWm5EUIQKjJm65uLU7DCwj+gbwUBKzAxGrDDf dFEwIaQXVK+uTYxB/FEb98mbPlmvIN654/Ck0v/9igN+MjA6pAlIPjs/v7pz RvofAoruyzUU3HoBXoqi2pa/oZkvyCJIZYSS2eAFT3BQErrHOPE7wvD3k/ZC OIoksHEXPyWKgZiPOIq84VCcxG4sX7EtDwAk6msOQB2K+2v96c25Or953yi8 e7BP9eKaky3GJPND152PDFLIcZfnTJesstzdndXd3Y2xkfaq6rT+gcb+3tru 9jL/OG1xXeblxRk8VL62NQCNh2daojPNPZ3l42OdZ6fH11+Nju5H49LaUlRu tLsGifZ61wRnKQZ21cbbCbA4pZuj2EloERM9ifYCnIOQRNST9g4e8Irfna2o MZfn7c42uAv8SJoANphMyDqcHZ+IV+ARgIS4ad1dAo1TuGLkWOe7i+KUeHuR o9zqCcVs/oE5GrmrhdWFqYVp8A5u7e5klBcBdCSx+NZ2tvnGG19xHFASHErE Jqp1T8l0O4H7KxaZrpHpgzyr6nOq63Jy86JrajKzssJzcyPz8qKLimKjk/wj 4gLcVSiA+hANTEisHuxYotW5OdFKb9+wGIsdUf2rk0DmpZ+ZaiirzAmKDI1J 8gOS1s3f5fVHLnF+cdU/Apnyc2tSUcLnLB93mhceTNo8XxJYW82RKpGRBp6L NcazsCA6NjHIbA1m6uh0gwuKQ6DL/IwRmsam7LWlwZKihMSUIA+hPD4xJC0r KToutLK6dH9vs6VrJDm3ZnJmGbno6uZG60BvVXtzU0/XzUdu29+x6sE2pWuF XwJAZQh97kMr21N3ji1Nak/ympiB5Isv65Hu7I/7cSnmpAxrWIxObhBFZBaP T/b5WyVhMZ6BERqZr8IaqQmGjFOQ7iU22X9goCY9JzgyzpCdHR4e65WYEpia kwCpdxZ6y8uTBwdq11eHamrSk5MtzU35q8sD05NtoyONYGd4qHZ7e+3mq5/1 u3dwcWJ6emBtbfbwAGF5/Ww8I9j29DUFR3vlVxQkpgSEx3oDdDQ53ry+PtTa WlhZm9o3UHl2unR9vd7bW5mUYtaZNTSF0BIdWFqTX1aVaohM+T8utL7RKfhB rX6sO7qrKzfXhz92xL57UhBz4Nk9/QmsgbyE6QS/r3yn7aCrpzk6JcoYqlBb OAikkRppPF/iPXcZ2dOFqscJ/UlMb4+wWC8gXJA90UQNShMqyq/NFATQ7onO 7r2PoC9oncFxeIrAa8xCpb9K6qsU6SX+od5ldWUuQh1T6+3I03b3Nve0F/G8 /B57CH/CMg2RyTffohT9ckHUuuNTg1kFMUGRGs8gXkiMpyVcaYlQhkRB+lJz qBwM9eCoW90p5L0fq9u+CyH5+qvcQEFYqxpT9NnZ+tbOzPHxIpw87tMA6eYK iv0vqqwsrakeHO176aYNTyq+d9X+n1x8ItL+6y0PmuvuEvI+deVDNjX0A8WR i+QDdfpTD/EzKgDY4ucUPuQXAfvNoqUsvkkH/n3B9BCZPUWBwqnF6S8LJn+g gJn6FHp5rw6vLk/ARHt2tjQ81Yd8cHRyvL69ubyxdHJ2Epwe8pZvi1Hg0PIP vXcAzICQBqSEwToI3dNyojrbilqbC1qa8oAE2tiQ3dVWklcczfcjNjfnr63O To13X3xdDBriRASm0/Wd9aPDvbOzk9vDX/PbW/ewpbWtW5YJmjffUeyChZQ5 78E8cMRVyWEYlB46osyqCEoLImhpLhLuWx4qszLzBppnEa7U07WNnY2t/ZL6 bDelg9Cf4qF2iskIFAfQiVoUQEeOIpyLFPexs5azFH23gwUdBS73ludgTAy/ +XGIAjlPS183199TFuTf1NsZnB79nImyF6FCkn0CYoKeU1kUHesnDze5r3d1 WXxNdUZZeQqSlQPhw4EIFQtjU9ODk9ICE/OCOL4eBDUKTIYABIKp1TtEBBEc FUfFJQT7WcMbmot7eytWlvrXVwZnppqnZoavv4UI+gcWc5J3fEHk/NJMUk6o OpAbl2LKzAovLowtKYo1Rci4ntK45NDAcJ0NRo4RUD006L/YcWTeEeOjTRkZ YT3d5eVlSRkZIRUVOU1NhdWVyWWlCRkZ1oyM4JGRNqRf51cWe8eGd/b3SDqp JSWWrJPtH74Lb6/vbrhXin6ThAi+BeAxTxvxn6+4NhjZY4zoYS5vgJHA1PGf r9g5JVBi1i+7aiNXLK3MSMkKiUr0g1mmJ3b3diLivAMj1BGxOoGXwhCoBsDJ GqW1RmrBTmC4Ihja12RkhcQn+1vC1eYw776+KoB/KirT21oKdzfHujvL8vNj BwdbF+chWpva2qy2loKpyfbZmcE/L9nKNUTKcbW2sdzRXReZYJAZxLGJARmZ IdYITVdX6eH+dGNjTndPeWF53NRU68HB7PbWaH5+TFSC0RzmExLjs745UVGd MjjcyzdYsstLb24Ori6/KOxf/xh2MqQgS3/fWMvEXPfN9eblJeIyenAHb8C1 9qcXp0ZnIQ7M3x8n1/e52E5v85Rd7733+fXl1tb8+fnJyfHexHjn6emtovt+ Le4engyJD4tO0APAAHCyyI+CGKDB9gHmwdL0WILaRe4vVAQwAfKBtUMYrh9R HsRhGtzAp1Q9lgygFKykhRRK3u5iE0MeyOb5kWmebuCIyEjkeJGssUEyP015 fVVwSh5H74/iqaKzCmYnmlOz4h97CBw4qjcM+eIa5Nt//Zm8eN8kaCDN7Olv 9g7gBkfrTGHygDBFKOzJf++idr8PjvtZRfnlyV/V8x+V/YOjrZ3509NVc1Tq 0srY3NLYzfX6vVntPbUkNK7W9g/mFpZGzVEpMp/wgor277vov36Bmryzd1Dd 3t3cOfyGoP0NJX6nLYctaNC8h/rQxwD5FNnauImfUSAN5DOS+BXsJfKKTXQQ 0AkayRsOyYbuKrb47B7sHZ0c/SnYCAhr15swneAh7Lu4O7PYX91WHJYRAT4N Solj+WrAurC1u9sz1mMvtEdJPN6wGPYCj89472CcJXgHsUtyTkhvZ3nLHUMF XItVVm5uUXRTW0lVXWZBWcLpR3r1z9/kd3nxwU9naX0+JTfYGKvd299eXpnD SLkvWDh7oRNKgkZJcIg2DKd0sxM6BKWHsX31DIMIJUGllqWHZoUmFef9SnbM qMhC3tqri9PTk9Xs4obg+LTS6jiyBk3zwrurHAISvTLL4jAyO8SVHSXBwlqp T1fwkb3A3VmGRondu4cHv7t1H/TPvYdMa3+PMMBbEWzsGOpLLMx7w8W/4dsF JxpSsuPpGk1MkpWqEyWmR+Zkh9XVZpUUx2dlhd3zTuflRubnRxcUxubkRgwN 1JXVpbB93N3VjmIjFUyMsgBGUpo5NycyLzeqID+yo61odWlgaqqnsiatuw8x /v69RSSE4mZ1cxn8WV2ey84KK8iPAXdYVhIdHm01BhkrK5KTUyPkXv4iHcRU kJwfy9EYfkPJcCzvmsbK+rqMjIzQ/Pwo0AklJXHtbUXg36zs8Ly8KHCqnLyo 7b2djZ1Nihf9BdNtenGhrLlebPFVhpgCUyBvitOz0/y6Ug9PSkVrxcHR0crm h54GXy7Ic9eYkgKicpRWy09OnCcu8l+dxHdWNukTF9nfHEW1LX03XzTkIefp G2qPSwnIKYz1CxL2DbSCIyWVGUarFCyOSj8VX68AMAlBR2DHO1BtjbWERmui 4n2SUy2WcEizFBiu6u4unZsbaGip7uyuzipILS2J393dPjnaWlroHh1paWgo mpgY2PteZ9e7m73+svoXUR9NzYwEhMjC47zAsm6N0qRnBCenWMrKk9ZXhxbm uysrU+vqMlNSAwGkr6vLqq3NSEoNAUM3NsFYXZtdVZk6OtYyvzjaNdAChVpf LL9vE1lHfEiur1evr7auoQxyRz/E0IaM/4m5UTe128BEw/UN5O4yPtfvG6ed nB84ONqo68w7Od3lBwhbB34nWfnV1ek1wELXqzBR8w3M1XwAT9SweHjLdXmy uz2+tjq+t7s8PdkCHhDiFYYMlbqO3q7hidL6Jp6GFRoDsWj6BIs/8iDCIHEN BI2TV5hSZeYRYUcjkg7N9SH4hUgZesisJvKngCrwJXF9PJjerlDaaL2b3ML2 j1YawhRyI983RBES56Xwl5ijAk0RloiU5JWNXYLC1xSXhpUYpmdG+7vLaRq/ iMxiTXBsZGbRzacY864fUNW936tfglLTC+OFFakA/lnCb7VGn6shEGmqdBim W/muKResj/ux6TnVTXXzS1MT00NIRNunvLXXLi9Xzs+XQxMyZ+aGR8b7lP7R c0sb33vdf+GCPKOtnT0HpsZN6PuzvRBOv/uBjkhy6330IC0v7LAtuj2Oljwl wQCJLHwORdNQMTI2wEhvoGxZ5ML6ag+NuKoNliJ/9AJ0fArkkR0whxwdzfWP t4xMdyYUJuEV3EdkLMNbnVlRZEPDP2d4OAhoXtEhGDnVRYa247FhJg3BWxbd 5VMwAEAOB5GTOc7Q313Rdsdx2tFaXFObkZ4XVl6VUl6VWlIeH18Q8Y1u/L8z r77/VZjBqbsmtzp9c2e9pCIxIsmnrCq5qCzZRcyge0n8oryIOoKDEG8vRDuK US4QM6Sz0Kxo7utp7GkXWWRFDZXI7QWmxI3PQYbylZX5pMzgvILw2dkpno9c EUhjGwhQoKse66F2KqpNAfIUQFb3aqLPB8ehHUUErJz6mOrQ0A3xAX5lHPfv FkR67R0blgb6icyGjsG+1NKi38i2ArMwtzSxu72kvj6nu6O0pjYzNw8ApAgk ryusOHqnQQK1vDw5OycCrDv7W5MAIzF93MDESIVyiNABRvIOEaekB2VmhALs sbuzCLpod2/7GKD3r346f1LZ3l6B09OHpKZHmEOCfCz+f7HlpudEm0Kjf3UU PcPKJJ4y36CY+qYaAt+nsbkyMy97bLQhMzMUAYe3mrQH++kZIY2NeZPTw0KL +BUHTdOrzs7PBSavgKRosqcsOC1BFWp0keGZPkKcEqcM0QOJpqSxAsz8h8eH Z+dnXzO2wXdmF9b6xoftGdKf7ES/okRv3IGQJXkMzxJPsYr//YpjjYNctZFc P587Cej4mbnxzt6GwHBlfkkiOLi5tRYeqw+P1WoCtK4iaVSCjzVSHRihiYz3 1BqlElNoTlGyJUweEecVkxqpCVCFRmsj4gz1DVkDg62D/fUtnY2hkX4T49Bq cn52srcLJvyzi3feg3/Kg0Z6bGyir6G5FLQiKsEQl+zvb5WZw7Qxib4Almdm hY6ONCwu9AAEW1gYk50VXlmRUlQUl50dlpUdkZQSXF6WVFwUl5IS2NVZvLTU P7801NVTPTRUf3G+fHOzdYkY2q5WAGSCo7A3T08WJ8Y7V5eH4OQpf+jmkbdv dWsViuZW4SfmwKu9PTzVCsDSS85b8A5KgkRCCz8mLxwtQ5c2Fewf7n+O5ePs 9GBpvuf4aBaWWzchHdf1NlRvNs5OD0+PoQgpcMHTk4Xlxf6D/ZWlhd7pydb9 /e2bO3Q0OjPnxFU3dg+k5EQBGAyeLBgAxjA5wDaIf9FDdOShcVJauaHJvkQN CnyBpscStc5if4q3VUjUubAN7iI/ssCXyPclcgwEAJDoehysUHIBsAoAKpoX FnyH5+MhD6ALfclqC52hpTb3NfrHpPpGpdB1xpzKutWF/tzSQrklrLV3MDz9 E6EH9y9LZUtXWkn1/ZEvu3KBbUlNlqeZEx7r/QVohKiSzGGKyvr873y4kCB2 VNVYQ5cFnp1t7h+C57IBaYo+pZy8huIld6oa60E9O13a25tlq4Jau0fvzvM/ qCDPaO/g6AVe/diV/xQH64U+MqLdAiFQUTBYwoId6TMi7wlWDA4+xopt3EXP KKLnVIENkfeSwWD7KQEmgfOtE2eXFuaWl0oaax8Gzv+QAobo8cl6z0g5wLol jQW/krDgojZUVzjFOdWWS33FJoB7eMVgvWFzHYW0VyyAlKhQSlMGE4qH4pDv yRWhsK8HntvgXzs+0Rwb0AEFnRW0wgCpsiq1pSkfyHoAL9XUpA8Mt938aYga AUjLG4tMg1tWZUpbVyW4Ym1dZkNDbkl5KkQ42VHW0pwfFBcA7rO8uRoI8W94 Dl7RBuTnJ2dnYIG7P9vQeM/B0f7gQJvewjWFKXILYuQmNg1SNbtS77wZ+UYS zZuMkqB/FyBh5NhXHKwsyFjf1X569m1El7/TauTmT0/BgInNz5yYm+keGXYU uadXpO9urQDYU1Ic395WBGBSFgwAHqS8j0QIA3NggFRYGJuVFVZbkzk+2rS2 PDg0XGeMURLUTixvSJdO1DgHx3sX5EUPDDT9wJv/IwUZRVdXF4tzfd2dJS1t FS/wKt8gowNJRhYqQmICfnGSvnRVYhhintqro6sxtyCloDAhLy92oL++uioN YCQEHyI1NyeytDSxoT4HfDTQDRGT4lVuGLnrU5pzYlFq3/gIUSvxjQt3kbBB dRBisXIPF5krQevhpua+5torQgBacs2rhVeB34O+yBesiRn/9yOqLU0Sl5er NiZDLkkuEPsHQEr/8YxeUPX7JjZEFzE5PRQe570Px+lkF8bKvTmRiebXdGlZ QzNAj4Vl6cGRaqlB7sTTZBfnRiV4+1vFrZ01o5NDgeGqzLyowAhVSIxnfLIp MzuipDSps6PyDweifltBeqOzpyEgRJqQaunsrhgarM4uiI6KN0fGeqVlBINh 2VCfvbzYBx4Q2M/ICOnpKh8ZbsiEtaCNjbkLc90d7cXdXWUlJYngCADMaekh zQ1ZTR01zT3NsBJgs7A8u7ws8fR45upqKzglWWY0H+x8LZ3a5woiKR+fHgMs rQhRmZMtYA6MLwwn6Un2IiesEg+kMHuho5uGAGYAJ4mLncBxbevTTlxXV5cr S4Oz0x2HBzNnp4tgC9kBr7bAinxyPL8w17O5MbyzPXl1ub2y1Le7s7C6Mry0 0HN2unJ/G4fHJ048tTU5J6GgQubvB7podm48MsFX7EuBPI50zmTPB/Y1PYao cdEGy1g+7iSdC3jHyTo03QvnGyIB++CI2sxWmVkcg7vYnyr2pwFZCVSAlAAo Al9gwJ7b4Cdw5hFnErSDIagdBSbq5PwCURWQXpAWGB2wsbnR3VkeEKqqa627 vLpGUggl5JfVtkOB/0gExMTcQl51I1rk2dAFq0zv9EudQ2Nghb15n+ziduXd 34lLCYAsxRBp/If6og8AkiVCOQfz5n0vT++1b2h6e+8YLAhuXV+tXF9unJ+v PlQcPQhnW1/fnLw4X4EZkxbceL4cTcQHgR7/9gUZjT1Dk6b4NKYq8CdHwVM3 sQ1W9Bgt/oRBzVn6BHcXy4YTP8ZIn2CFz8lcyJebIHxB4z4jS54QBTiJ7jmF h5NzSZ4Sez75MQUXX5B9f7kfe/s3kHFwo7g+6fp6Y/9wVmDSPKO72wtodnzS KwYToCBb3q3H+GsWwEUQneAdkQ7YhxK82vGILnIXNJytDHMbogUAAOYtz+UJ FY+VMssqUjsgjsfbPLOwKqnoTq1UND7W+WeJovDD2T3Y0YaKUrIDO9pKwNUB SIPT98BZS1oK2lsKBgca1rcgzefU4jTNwNyE0wQ/dK5A+jw2M7CwOmNpfjIx 2eRl5RuChVJ/sm+IWGthS/wpYOqge+EJaheMzOWLiqN7gIQBqypGxt3ehRay P9tz7+TsBMzb5xfnuYVxYEHJz49GEtzf4wEk633OwyO5EUh+LrC+jI83tXYV cf08EKcFmhfOTWmfUhR9dvLO1/SfR2+8tjazutQdGBn8VzuBB99L6qX/m4M4 Ks5IE3t5m0zhsdF1DWVrK4OD/VWI4gg0sKO9BADF9zokO6KyKm24v7ajpVAb aCouSwtJ9HEQOzpLXW0FTjPLc/7xUWKLD9mT7SJl2Qs8nKUYJ7ErEBYwCrDF 2/LRz+hontFze2/vdx0qkC+EJRabInI2d3bGphd+thf9zZnzs6Mgv7KRrrT4 hKSfnp9+5Xm6ehuHx6AVp3+o1dMkLalvUgRGyi1RyHcWFsa8A1V/w7PKm7uX l6diABDKizo/P4tO9K1rLl5cmu4bat/b345M8ImM95mbn/jgCn/w0XxNub7j BEjLDKmqzJidG5uf7Zmf68kuSCouiU9JC0RQ/fRk20B/NZJjt7QkcXG+p6Ii JTMzbHysCUq2O9kKdsBBAO+7u8rBMDaGBeaU5vEMAbmVJRMzvREZ6VSZrKwq R2YO/s2d94Yh9Y+OD0zMXt3cvvnewXzrJH98WNxYAnZa+5vtBPZOYhckKhaR GaEYjbsgWV6AYG5lbu8Qjv54v293t5dWl/s31kdWVwZuKceXBzbWhmB9UR9E jLDcv7kxur01ur46tLM1PjfTeXQ4g+RPQdSMprj0n3AsO5YCxde1tNWvLo52 9HX7WGXiACbLG0f3ZDL0FKoefetxrUOzvN0pOhx4wcFURtPjiFoXz0Ce1Egj aFBcXw9NIPeWOgOuiCeSh9YZVBgRIccht20wDQLpCZwB7ABxpHe0Z2R6AYzq sFjvtu7mgcGW4EiVI5ufWgwpiDoHR535uvnlNWQCPDo+Ian9/x9bQnQ2lJLp CiaRBjuzSyvOfO3WLhIm82GHHx0fBsZoTaGy8FgvyCUbdqtD8JIxVPoBQPIL Fg+O3oZXfMcjfv95H0KGWkitd8uAdHmxAmsp199hJEj7tw0rANfHp/p6Bof/ eebJv0O5vpuUCELz31BCjlfgbyjxE1cJHNT/KYAExfuLId0RrF+ycRfZuIlf MRmQoQ0jBQDpJYP92EOAFuqjc3IA/GAYFBgZ8zUHz/LVXXwqd/YPKVdX52dn i5eXQPrYTy1NA6jGjk99yyO/YVNf0DifTGl6X59TeeALaDnOXuggC1Zw/HmQ M4/KzUmC4hhF5c31AwNNLU35TUi2WUiPdEuFDfY720pamvJ6u6vOv9oN6ZvK nW/2ojVB39NRdm/pg6HR7T10d1UiPo3Ic1xcf5c34X7KAq/S/uFe33C7KoCZ VQIlhQ8Il3sG8cC/GgtLF8iRm+hKE11uoon9Ga4qLPrT+UruK9Ze4IaSuGAV +L+62Udkp978OQDpfrSAndMzJP/LRWFh3AOV0bsKDhYVxn4Ame4/ysuPMseo PdQoKkQQh4bVZS4Mg1tWVcoERLbwJ0UNfE9ZXJ7u769dWxkoKEl5gha+wMue Y1W/oXlakyoqxkqX6GqrkktLE4cGauvrsrKzIb0ZAgJBz2RlPegZ0OqC6LiM 0NC4AA+Zyk0mtyaZX7E80HLXtzwHbYTeOzrsJYtA8aLbC3B2PBLiV4aW4egG JkC/jiIPWx6kbs2vrbj5OnH1/jtzi+tltZ11rb2ZRVACuLPvot3c2d0ECGdp ZX5xbduWpVhe30RG+Ob2lhNXkVsFe4vd3BSUJgEBvLapKD7V8pB5o6e/ZW1j 6eajhfvvUJCxtLg4VVGVPT7R095R2dBUvLbcPz7eOj3VXlwUB+A9wEUN9VA+ lDJYiQQqeKAjQ/VQrjc4T8rCXPfUROs91VJSVurPrhycWOfAUfyMY79lSO3Y it8IQhui4Fc37nOK+BlZ9Ks77z/sianFUMbwH2Hvvp6Y68IqcM6fmQecJM5g wuQaeQX1hTcfzQAXAA9fHRwdTt9zmCNJ6yCizsW+tdXBpYXerY1R0LrdnQk4 YcfYzfXq1eUucue17T1/c+W8pEl+ceNFJEZPDNVNzs7qAuRjEz07e1sFpYkz c9PaQAFJ63zPiU2HzWosbze2wR3AHok/FUxxCBYS+ZHBwfc9uqHofomRKjcx wFbkT+H5eoiNVJmRJrWw4vLDOT4EU4yaqcOXNVYdH4PJs1UdpDSF6lIyLVSl 9AlRVFNX2DPQ48RVKSyRe/uQkLi9u+8bnfqfzlSm3nJ2Ds1XVwgJ+9UVRWMM Ssq5+VTgGzJaOvqbZL5k7yC+T7BIH8SHs8yoQ6N1vsFiU6g89J77K1wZm265 swt8/8C+dSS43gHoCKbUXgXby8vV9p42iIn0ev0eMoFmVdTXTkz1I+nCv/uK /6IFeTqRKaU/O4igBCI4/lO86BFa8gQn+ZDs6KESyV30lChCGCOfwfR9L6gs WIkkfsOhvWbw/hvNrGzpDEyJesMlFDdWxxel4JVsZJ78k2ar/cOl4+PZ65v9 7KrMR2ScPQBIsI7oBY0N8Ns9r+D7DMyQiukVk2kvINryUVwTr7S5DK9yF5rF EAYQOla319zArgsxGaacoqiu9tKOtmIAijrbittbCsG/5VWpADX1dFXs7yMO nz++cXuHu+2DTU0QHLoFZu0tRfcgDcCzoYHfIZVClq3Suhz/MFlQrI6rx4MX UBfIVSCgyEgDFewj/4L6hSnx1u4mc3GRkugGPsCQApOOYVDvHux97up/vCDi ZFZRgwvdZ3BstrWlJD3dCoABgD0PjWtZcK5SxGbxEB0ByJRfAK1HSWkWsZFC UOHoMFU1x8+N7oVjers39dTe/CMcsz9VoIdY01AwMgwRGzY2Z5AE8leu8mc4 kZsCT9W5SvzYBBkpMMw/Nwdq+8OWwlqI+IL8KBgyQR0CtvkFcRiJ4CXL3V1J tSFzXjMkYBl9See8YYExj33FdncQQnT3aBmAQ27OUiwa4CIJimdSkPU0gIGf Mzxo3srDYxh+fyVV10c6ImRF+KYXAz7F9fHJ0eLyLPgXLC7xeWU3dyaMgPhM hKnv6jbe/HpzczW/JBHApJuP8lX9Q3Dv9S3v3252dmR4YszwUENlRfLcbBdM L9nR3VU+Md5SX5ednR02O90xPAT2wtPTg+tqs8BDLyuDbGoAGgHkACAEgBPg V2tLPXFZqbYs5SMCH/HzfMuUwcnrBQAavYDREaivaJLHHnyq1vQFR6+vLPAZ rqYXuvkmrj5aR9aTgUD0sZemswz9nPUqLOtzQaznlxfLoCEPE+FBdaEPTuk7 ALabGyMwAuy7OF+C839BpXt43IGrtiEJfnXni3yMHS15SwvjPN9Q/8jwjJLq 7b2Dy8tr8Jow9Vi6Fx5hfSR7ojkGAsPLlQ8F/qMB+NGYOeBfIqRQIgh8iQi9 2AdV4EcCAEkZwFJb2LpAnj5IoDKzGV74sAyzwEiRBNCFPqS2jtqZuRG2nmZD ZvP1YpJc/hOep7UYm5qK7VjKxx6C1zTh2NT48sqSq9TrFzcueBAj0/OXF2eD A037e5A2Ly6nyJYp3z/Yv7z8tHsJMkXXtJSozEwwGwsNBG+rwCdYHBqtD4rU gH0EHUUn+gVHao2hsuW1hc90+DeW6/NryGF+B+75g+rGuoq6msvLdYCRYN3R Vv9wd0NbZ1Zx48TMOEy+ff6vmEPtu8v1LRnXMV8X+Rdb/hO0/D5+/zFaAlXM J9yQkKC251ThE1eIT9uGCL2bb9jUpwS+DUHyisF5w6E+JnCHJ2fWtjYeU9CN Pa3gQmvvp5L5wQ2BhI4dOKBjo2+02UlIt4UzULzhkF5QeQ+Jlx9UErjPl3QW 9E0u5S0X19BTrwxT+8b7U+FcHq+5b7OrsgH4r++uMYSJ6uqzSuuzy6tSysoT q2rSKmozYtKNVB1aHcQZnf4xMVyfLJZkg0+krL2tBDGodbQWl1cmI5Y+UCsq U1pbii4fCM4f3wY4cnC0P7Mw7hUs9A4WKAMYD0HRexX6iErWuqEgFToGyef7 yRA/R7GLIEDjIkOnlaevbG58n4rgawoUc3d1tbaxQ5cH/1+/kDwD08A6mVeQ VFwcU1QU11CfXVOTkZkZlpcXlZER0tSQ29CQC9ssIhADHBTVVRyfUxINJkme L4nm5eIqYXJ9eAQZIy6roG+s90+67T9STk6OxscaopPjTSEqP6v2BU7uRBOS dIiM7OamcoxNt1aUJYGm5eYiKBFCRPn5kZbQwIiY4AI4lq2uLqu4OL64IEbg 5fmcCQY/FCjxnMyDARL7GYX/msFxVVFeMN3shSiU1MUZztbnLMVBD1fkipZR nSRYglrsJGQ2QLksv01DiATywOWb0dEHBQytwtqW49N35rmekfH1re2Li/N7 nvOT0+OPf/iPzYBw63bSWVtSmri+OtzUlAdwEYAEABHBhN6dACOBx9TbXbG+ OlRbkwkeVk11BgBRgwM1KSmBLS0Fc7Od4MtLC33zs53hCWGvaGJXqedzOEwY gKInHgKeweTEVT4hChF0BB2Ht7+5c3tGIMPiH/OkhX67uz+/tD6+f7hA8iRj 5DisEn/P8nFHg+b6ivMmuwrSjXyKdv766nJrfXXwYSI8WJV0m/AF1OWlPphp c2h3c3Rooi+zvL66tfs3Ny5ARzYkkRNHWV6RMT3eEpVZgBV7BafkM/XWrb1d TYhW4c9k+7ixDO5k2HDG8yVyfAgifwrTy5UM5VZDmI4wSDg/5Ix9qzX6MMOI B8ROjwLVQ4MiQuY2F5oeR1A7gZMwYDoynZWdVpj/mCh0l0lISvnPrgIUV1Zb m0VXez/yEP7iyonJyABIQ+xrBOjob66c+Dwo8+DwUEt7WykA8BNzC7/g2RVN bVNjbXv729efWSkQAWT/cG9gtCu7LFHiRxIY3A1BguAItV+IxNPK97eKrZHq lKyQosq0qfmvY1f43Wd8tX9zc9w7OJ6SW5hTUsFWB/cPD62ujUOe2xBL5ObB 4eHWzr9ngr+vKcgbFJ5Y/BdbgQ2Cjj6ypn1GiSSx8YBeRrDzBAfEUslrJh3g jWckMQAkdnzqb0S36Nx0cHLfuHBBgOef14QHouL25s7oycnczfU6VS99TMGD FcGeT3tBZ73lfsrEBuX3ZIB7thdQfyNhzEmRl5cXXcPd+mgvN7U7QEf8AOER 7KAyszRdUJHY2FkxND0IJcMKlzT21AxO9nH8SNZU/5b+xoPjg5s/ByCBc0qD OKpAVld7aestQCqqrk2PywhoaS5oBzCpo2xzc/kLsb2IbFLZWBCdYQ5OMoh8 PABA+gQ0gqvMn2KO1RK1ZGdIpYB5mMfkwcSIxinIiIbBQ0u3pltvfqgV4/zi /KGhBJGFO3rHf7IT/OokJosty2vbsWkFASFBZWWpQIirrkrPygpFZPDO9uLm 5uLMrPDCgiiw9IyPNSNsSCJfLlGLYnkTKHoUms9g6On2dMYzjGfXwFRpTScQ EG5uvtCFf+9ycXGRWxiOY0mcqHI3jvo1ieUuZqF5FJq3C5CXhX7k9JzgwoLY bFhxBFqKaI0K8iNxTI3Oz1hSHJ2REVpeltzSnJ+cFizz17xiQelIIHc7Nh2M eVseEcgOTyjErIr0kqYiqjfLQwc5INkK7N/yMA5CNE7lai8gveFhaN6yiKzU 2k4o1v4fIjl+4Z3a2pjZ20Wsyf9IZdGXy+HhfkV5yvxs1+R4CxBqVpb652E9 0sxU+/JiX0N9zhjMVzk22tjeVgQg0/RkG8AMXZ2lhYWxY6NNI0P1iwu9qwvd Eh/fv+K5DmzFW4bsKUloQ4TonTFCDd8n4Dd3/vM7DdITosCRq8ZLvRMLIKvo j7CyQZ4DIRlhHCPLlOSDuGg+SI2NBdDaXeuxsAopND5jhL06Opz9ACB9AJaQ btnbHl9eHa1trgiMj39M4L9lyn8j8KNTYkf6ymub6sESE5iQ7io1dA71WVON LiJb30i5wsJyUzqQPdEsbzexP5XrQ5AHMMkfqYnID3RHtI+SjDC9XTkGd1D5 fmQxTAIg9CMBrEWG7HFYhheWoHJ7SuQ98RDixVD//82VGxofERQT/osb77GH gKLUnZ/u5pWV/urGeUTgMfSB01P9E2OdzY15J0c7YEjiJV5yS9Tq0tjQYPPX 9/vAWHdNS3HPUGtmQYzayEjMDa1uLCwqT5n90Kfu+wv8vlxu7ey/IegqG3oL K9urm/tPz44vL1Zuro9vrnchuqp33/wfV65veTVXfrIXPsUqfkOJYQpcybvg NRSsR8K+l3YNiduFPgK4iAo5IIEjL2n851ThWw75BY3zlCh5zWK84Xo4iWhb e9vr29suUvb00sI1nPPjxzYBWT2BmDq3uArkyMisgPh8S8dgy//BO/BNmrDM qBdMAuSJdOeS/YoJh63BLN+v2bTXLBqc5ZPkLGGvbCAZvW/G58ZLmkozKjKX N+B4ilt2R3Cpq/iC8LBM89mduxGS4/VPKsh117fXxAH0lBxrK4BDrUUdbcUV VSmV1Wn+UYrodGNXW/HCAhR0+eUYUjBxJeSE8PSuChPtY3QEjsiMNKWJoTIz ZX60jKJQ72jTI+pLujeDb+I4iFD2QpR3lBfdQHcUO2MVeAeR0ys2mukrE1kU bir+7PLc73reflOT+ycGvGMMt3cOz/CDU30Ki/8TFyUYmX+1EzIVRpLQ8Bdb UVSsVaAxhEcHA2wA8EB6ekhfT1lJeVFTU1FmduzkeNvifF9jY35ubhxLJRH4 0kgqAt2AQrEZ7hLaExzrKVYj9YnBcUw7e1+VR/XvVaC+3NlZ1fgH2xK9H7uo HmNpdL0rnidyU7oozIzMrNCsrDBkm5sbERQeGBYVCGASAEsYusYUZC4siMzN iwLQqL2rMjg55Deyqy2P+lBxCgkOAsojMkZm8QFr+OLawNLawNBkU0iake3H JWgYdkIHgVn5nEGIykn7R/cGVB4u9ECKWV6Zm54eBgBpaaHv+p+V1Pfi/HR/ b/XkZL+kJLm9rXBtZbC/r3oG0gjdWs2WF3pHRxp7eyCGUnAEICU4MVwv2ALI 1N1VBr4MgBPYrq/0p2QnPPHgP6MA8VP8lCRy5ChfM6QAIyktwY5cyMrzkir5 CceSmiNnFpe3dvf2D+FoqT/WBOSlHp0dxSrxVW15JD0ZzAZOEmcwA9w7bAOA RPQk78DGzc9NApeXe/fmwo/r0mLv0gJkbltfG1pZ6jvcGS0oz2vsbpRZQlla 78Ge0o6Oaje5L1Pr4yrWZFU01XXV2/OfsQzuQiNVHMDQhYuJGpTMRAcYSWqk I7a2T7Ikfa6CHwJQBKCR3MRUmdkaC4djIAC4BTOfYCg6/BsG/ylJ8pwisiGC KnxFk3iHWF/TJZDujsjr6mleXJ5/S4d0eq9osobWxp6Oktrq9IXZgf7xaZ5P 8GuaZHJmoqez/OryrKi+TWaO3Nk/+Kwe6RpZJ999dHi07xMuLa7JevCdH6Ma vfWUW9nMLG58+Lhubs7e/9ofv9S/ZEH6BwDI4uqOtY0diSniZxTPBiO3wUnf aY0ga5r4ATqCCN9+Q71TIj2nCf/qyHtBZKMl4tcMxlsu9SVNYMslY+XcxxRM eGYcuERKSX7HUP/NnyCESn1ie4amTk7OnKiGutZukYWSV51Z31Udmh6xtjnm FWXCSDlgRbDn016zKa/Z4N649yvFGzYVSYP+kkVwUygX19bvU8x80EX3o3Fs dhgBRQ8gwfWfFL2FvEFHJ4cdvXUdLVDAWnNTXntLYUtzQXlNelllEs+fVFOf PTLU8rvOM5dXl9YEvdSfAiDQB9AIQkf+tNBEvdxIk/qRNBbx8HjT5HyvIdZ7 dqm7qrmY6k22FThKLMqQ9CB7AI04tqZEQ3hWzGMKbmx2Sh8V0tz7Y+IpkEDs 0ubynJpcqVXWPnhL2XpwdCAPUTgI0TLf6Bd4zS+O0mcY2XM4jpKv8vFQegRF 6YsKYoeH6gvyY3u7ywLCE5MysxhyU2t7na81TKw3p2VEUUWe8UlWssadoMTZ kXlv3OU4lpwk9Pz/XrKLKipv/sloPZDO1Aem+YZkaExJKKqJqqXRtAx3hTvb x9UzWJhXEtPSnF9cklBVmYRjqhTevhVlcVlZkQ5EVXBEUEFBRGl5anVlqiXW TPeSIWmj3/ndQaIB4xmF5a5UNHRVXSEEcZAHwi7A42dn/z97b+HdSJKni/49 7537zr53YfcuzPRMd4FdYFe5ymUm2WJmZjDLMsvMzMxMMtsyoyyDzMwy6EUq q9wu6J7uHld3zd6Nk/aJTKVSQRnxxQ++39rYdI+fDMXQcIXRYeIY9R1MffD0 +ZO/hLThF/Cmr6/5YH/r+Mg0OtpVW5uuH20yGiHblcNDaBdzdrp/fvYVreB+ ZbJuqa4uVpYH11b0FRXp1VVpAA6tLA8ZFvruy1JAfmS4EZYpQehoeQTUCCCl xfle+NO5mW4Aq/Y2xxOykmBJETi+96El5GbFZWf+mxsRLwtVxqX/2ZNM81fX tNTOLq0+XB2gvjBfmZkaTl5dSmhGoCvfgxBIoIXSpPESF67bHVssgEyEAGLn CMSV8cW56PBgfcU4YFrVfxkgWYHTnZ3SwkJ/XUfj6amxtK60o700szDdjSkH mMSXJ2cEa49OzsISw0n+fkR/b2/Bm5TSWIDq/cROBJU3wDY8NR4td8P/LBzC K70+iVRrde2HXNjgmCP0QCQzCAUgE9kfgVd5eLCZr4kCOxzHhyOzx3NtkCyi LMCbKwNwyBbNSspOvTUfcEOjHvsxHvvSE/KKZyc72tuKR4Ya5hamXOiS/+WI LmtoMsyBLh7f3j96geW4sxTv4evfcue8gd4PSGu5d7Bzbg1K9fUkObcf0ld6 /j96WlnfjMoqfoFjP0fwX/hybKyR195Lijx5z3whVRpAR4+cuSSx1s5H8sSV Z8VOvBc4llKb/hIhQkp4GAXeiY10ZpOQcoangObJpzLUX0u5Bk+tGUVNCLoa ZHJKW1/5ilv6G7b3jdYJ/3JyoZ/gz0PLMZXtVZHZ6T+gvBypLCiELgP9ia7t HRP/GO0VmQNhudsPI+VnY5X+TiL99xZiB9v60fa+nqqJ8a6aloLCMm2Hrlqv b49Ik1d3lJ4c7f2tFw1qqJL6TKrSS2j1U4OhkUgDMBJJoiFzAtFR6bLOvlJF NIUXxErNL7PGEYAcFiamx3Kqsnyk3vxo/sjMAEaJ5kZyQtL9zy+ORTFhE/NQ RNfTsy+Yf/yGBFBcVF50UVOxIlFZ2FQs1kpggdKMccZPivIUeQanxDqgJLbe lJd+9CduPCcG8qknw5lEZoT61DflHu/NlFWk9PfVKjTJ/+s53Zce0q1rx7CE CBrPBStFM5VpmZEOKNYPVqLFV74CdYxMGixwJ/Az8jRXV1cPUoWHSvAI7B2e nltc29nbTypMIwdgcSp3YoAPmMNJAYglQ//OxiTYdM9Nd3mTpQHhYbW1SeXl Ka99xdrEqPKypNTsqLTCxPbuKgfaZ6Z3DIwDhfIXL7pAEw22R7fveZihIF8A IF2cGZeXhjMrM914yOTSwua+7i8ZljxwZX/+c/A3NwdgRuroSOfB3tLqylRd Xe7SYt+YvmN9bWp1efQW8ihfXV8b/4Cmbg/3TWbzObzJ+KqF/5m0sDCxMNe3 vjpqjU9UMj/bA0uHYP3anTgFduwCF0eHG2C0AD4dHWlaXR5ZXxsDS21dXdaI vk2mDnqGgUyMAEB6imQieMr+oTZnuviJL0ObW/SKIEgrrrg8MVxfnT3UQgfr y7pGe1RJYv1s92u6Y0JRBABIzX1N7Aj2c9JLXynk54uSo7JqUvnRvPVtKNLf xz8M5S/OjwH42QcdtzyyvDRkXBq01n3kDhpBjWBtB7g19nZmbq7W11ZGTcuD HR2VDkTeEyTzJZZtTxR29LYGaGNUEYEhcRykzA2v8mSqcYwgFC8Uj5K7MYJR 8kj6HfjBf0YjCXMcQUDo44hsH2En8C2Vl1hDoQb4MYOR7xgYd6b0DZmPFCg8 WBJbFBu0vwOJ70gRAKjzmsDTpicpYhMhY3JfOlGhWZwbKK/KwYmUhsUxWVTC f7gR+eqoddP8QH+d5faaHhTzH+6EiXmD5dfICn6HVea/Yqv9TIKVRxGZRX/1 pkA+lQj6MxTTicZ+5MK19fwQQwQJIBMEkL57y2SpkrgByX9+wwCf2noI/upJ jcwukqgzRerkel21txjtxCIxw1SUIKkoRu3Go8wvL32NLoBnAVB0T3JwYVWn +erKjRgYkVRZ11XWMVh8fGwwri4qEwTReUFbO0fvKCI/kRKjkD7HYt9SaW+Z dzxI0OHIxNuT0bTgEJ1ef/WzgZn+EIwNN93hwQ7YTRyeHiUVhvf31u7vbZ6c HPwSz2u4wMumRSgEQ5JEGk4WqUncYIwqkhGdKheHkWLSFaEJgpGpJtPmxNjU MEGozS+vBGvO7c3m0ZExRJvZNVR/fLoMRkpLf83y+ogsXjw+P/XgdQQ9GJkb FZOvVSUHFDQWciP5A5MQO3duXd5blpOnyMuV6+vFAojXx1Po/sKP/hpPeMdE eJIFHlwEP5IXn5FOUmJlmkBXfIAdkoQWY+OzY/n+gUiG8P+zZaJZ/iHRSht3 HpajfOMneubJzS3SVtVld3ZXD400WYONflvpvejScp1cGu0jcsBBZC9evmIn P6kLV4Mva0gtqUnS9VbMzvZ4U1RBEYFJaVGB4Ro3vJQmCmJKg4pL4r35dHlc sAub+AlGshJ/4R2pQrw8eH1z2hpl4EeOuMvz5c7eitCMWP3sjI+YBTrla4x5 WDM+s7TSMai3fJiiwY5kYXltaW39XiO8V67Nzo5WVaXPzfZubswDjDQ83NXf V7Uwp5sY7zGtjuzvr5mvzleMA2en732Qtzfndrb/XsrE35zgFhsa6mhqyt3a mATlXJjvNRoGYDAA0MK4vmV2pvu+b9f6mn5kpHF0pBFkwPXhoYalxf5xfXNR cUJVZbImOeEpivUS994G2w7H/as3raS2LLUw919c8OyQaFlMsq8wZG93eRsy r7U8ICw8PTu5ujoMzQgRRHNWNsaa+hpDM8I8hF7JZalDU13D0z2DU0OWn1zE ra58R6snx6uXlyegmqARYDUiXOU7beP66gjoR/ijo8MF0AIQXjIO0VQhj30Z L3E8AD+8eUHJeZn+4TxtVq5aK6cE+gFIg5K7skOwYXEiWiASKXcTaEisYMx7 ojOV932MhJK6SsOp/DAiJQjJDSd9Yolk5eX+MYItPQjFDEaDiwgByZXOw4j8 lVGRzzBs0PI2aJYrQ+xCE4FT0Bc2KOYjBM1qHs9t72nXD9X78WVvKOKE/KKn SMZjX9rAcP/iTPfR/lp+bbsTjZ9f12L59ZqU/xLs/IEJnoJa+oY9OUqiMhwn V6PEIV48CUDONn4sW2/+Exf+C1++HY5u4y6EtWzxWdUvvMRPPXjPvAQ23tyX eE5ifjVFlHB4fCKNk7jzCe48WlhmElsTyAkPLG2ptzxcEIqPSw4Nm67+iUfO XDQ7srq5p6a55aknObcm7fr6oKOvJzxTfXy6X93a/y92FKU2xVNEsvUj2yNF ABG9ZUA+bm8ZBEcGzp6CfIb3e0lEPkZ7d4+MWb4+5+HfkwAoWlmZubj4QG/4 i9+dwf7WoaG6ldXRosr4yBRpfmns+FhLeV1KVLp8dLIxLEm4aJza3TPklDZ7 koO2d+ZvoUhPh6n5pUWVoAePrq+PoBnvZn3/YP7SDBvtPORre3xySgoUIaQo F66fSCvJrM7mRArA9fWddW8xwl3g6cRxowaKaUFER6a3CwfhgCe+oaMdCAwH KtmOjHyG833LQDnSvTw5PsQAD6zc47kPmyoSU8UST6I0JCZRmxpt484Ki9O8 9JY8daV1dpUdHyzMz3bNL44+eF3+/gQDhsr2EjBjM9V4WAugzQ3kR5DQcvdA LU+poQfHcDhqor0vLyhSQeQqbT05niQpgRtA5geUVSa4sUlPrH4KH7ltUvGQ 5yYZ5UwXbO8tfIKOLLdbx4eLmvQQe5rTrHEpMjctNB2KY/g1zLNBg08tLL0h ixaWV++enlXZQFBooExFAxzHAbrzxtzX11hdkzU60rRi1JvWJnZ3VtvbyleM gwMD9UuL0Kp6eXG6tqLfXIdwu9l8aVqbWV0Z3ts1fogi/Xt37vn5aU8PxIM9 Nwsg3Chsev3B5GbUsNA3OFALC5Tu1EwAJ7S1FQFcBO5fWuitqitISNfWVqUU l6Y404S2KLY9nvsMAzn1A5gEtrEEefDkVI8LXWKLYmaUloPr5c2d11dnD6gs hkW455eXkjiZYRVAL2gfUdVRvXOw84Wbf3KQHN3emrc2Z+bneqanASzUW42s 9LDlFaj1/u6MYVk/N9dv+tBE4OIOAGPtNW/JAhsUx48nIEoELkzFcyzfP0LG 8KcI1byAGBbKyuVoDSaCV0UxYVzEDcVZhUge92VHCPG74sac+qaioHDG5OzI 5rYpIkFCtbq/fVHcBF43RhCa5O+JlqJeE/mF5ekhifJXRI4tmv2OKiBKA+48 BwFqfUXkf+9DjcnMXlnoDYiO/AHBcKQIn2PYNihWSWPdsF6XVZQ7NDGL4Cl3 9hdvb47Oz0/et+4/TvqWF8TfJ11cmjPK6+eMa8dnZ7PGFQeSMCqr6C3oaBQU Zw2sKUgJ7XsP7BNX4Z/fMESh6RJ1xp8dGC4kMC3zv/emEhRhWF5ERX3f3Mq0 Gx/hxCJyw4PaB/s2d3ceSgXzWfpxgAmD0//pMU4cmg7eZnVcpiwsF2x91tan Wnug/enV9ZU4JPOvLiR7PPmlr+C5L/MNDfuCgLXFop/hEc+JCF8JOzAl9h2N g5HLjk4eful/kPRBpHD7yZVf/vWbm2vz5Z7FcnBzvXtlXjvYn21uzt/bm27p LDw+NuZWRLb31m1szrf39ATEFOaVV1ks+wAj7ewuEgTh4AbwRavj9rE1ovf5 g9XLcgvaPCInPrEkAaNguvKQWCXpDdOtZaA+tUQ7uTgJ7tFkh79lvYH4n+kY goICwK0jE+nEhsLH2BForynEt0xwBfeGhnPl+iLlHgiJu0BNFyg0ARr/tJyI iNjo5qZ8dWzkE1dmUGSYnY9UrY2ZmGwzLPTr+mtHrOFQv7Ueh8uzvr26s7+1 vrUakCiqaEw3zHXSJCJJWPjERFN5VUpOcSRdhXnrJ2GoqHYIzgsvnhNWhGaq HAk8bao/O5DlyiHc16zBZPJ2RJqPQEIL0AQlpdze7t18AEhWr9690ZnOdyys Df6dODbs4PjIU0AbnYVQx4PMkO9Vxien43OL8BVBRBJRHgwev2Ja0eaVD472 O5L5A+Mz4RmFYFbZ3Nkbn1va2V8bGqhuaChsbioASKO/r3pvd2F+bkA/2gRO 29tL1paHlo3jC/PDy4Z+s/l0d3e7qTHPCjn6Ntanb27+APHgzfW10TAEINzU ZIfRMABW/Pt2RwAbDA/Vz0x1wmyQsA2SaQVyatP1VKyvQRTTDU0FvmwhXRVQ XZ2ujI7+sydFEZOIk4X+yYMckZYqjYr5dzdyR29bVmnBf3+LlUbGRaTnJBdD 3NcPjmZBr11ZRaz3JYkwhcLnRps/8YSbi4vD7e319u6GFSNkj727PQ0LkbY2 xm9vNwtrK2ZmIN6n5Q+KtuWlocX5/tGxzndUsQuVE52o8OaKvNlcrFCsiqJz w3DRyQqSvw9W8R7PBESzaYFItMKNHoikAeRzz20NAwUc8TGszC0sTkYnyfsG W0sqUtQxPJLKB/0xb+T9r4CH04P8PAVu0miFMo7xhoJ9huYC2MMJCgWwDRYf wdK8x34MjDhwdronrzjjuVXKZE/gujCkgYnJYLAz/ENKm+q1ufk1TRVXF2sX 56tnp9t/rPL3F6Y7DvC79F9GSneporW7Vz8Zl1f+HMt47sP5NzsGiqeKyNa+ 9lP81ZH9zEuYWlhv4yZwIaocMXKyLCIqp6iuo39jCyLFCkwN0mRFpZYXf1UH EwDFr8wHF5dXps29iVnjM0/hnxyYfcODR8drr5GymuZWMDgb2trW1iGnSN3w 9F/eMn9wYmN5kS5Mjg2a4s0LLG5oqe/paO7rOTyBnPRzqppWNqxxir9eoR8o /aZRem253bXcbt/eHJxfXO7sGiyWw729BWuky72NrfmrK9P+oWF8emR0or+4 pks3NLEK7cfBVvEkPrMoObcY4KWLywfDRfcTeBMlWqUN4RlCimKqxdNzPRmV KTv706BgC8ujYHqu7eywxSEQEtQrMtaTT3XjYF5/cEsEK74D7YOLFg1nT6S6 cPzecZ3xclxCRmB2fnhBYTxRSs/O16RlxIr8g1IyYmQhEWBrPz/bvbW1eP2z GtVvIV1dmXt7als6ijZME/39JS5YanRyoWGhvX+guqY+LSRG/gohlGv4L7y5 Nu4CRzTfgyC09aMoI3lRifLIBBk7iOXAQDtQca9IACzhXtNQXnyuJ0cZn5dX 3FB9cbFqsWzBgbwvL0H+oLarkBuhxCiEr2loAI0adJ3VHS2WBwVIpq0dV6Zi bHri9vY8vazhfztjxqfGYrPz/++X3pll5dEZ6Yyg2MrW7n92QicWVAYm5oYm Ju6sjzY05NfU5ABQNDrSODXZvrM1OTLSAHFpdpZOjLctQeyLTQCQbK5PH+yv dHaWT463bZjGl5cGTGvTv/+sfnp2Mq5vXV8dXTIMzM10Dw3Wf6JQm53p7u4q h93bAcyD/s/pIIluebLR0A/qZVzUScNC/sWFJAkLUURFvsByMZLghIKyf3cj CsNjB0f7/uJFFoQnbm/NarMynyIZwxNfV/R914Y/a5z5cwkUbWxm/Oho8fTY AKka18ZAm4AZprazKSwleX97wsqHOQoQ1PHhwtHhImiE+dkeP578ewSLFyj2 j5QowyXcQJEoRMoMRgrVLL6agFG4E1WQYR4nBCePoIPMfXEQyACoA+ngYvkA ETW0lprNl8cnhyWVqZ26uqbeWtRnxkhYpQdB5U0OgJiUwH+Mwk0QgQ9LCX6O ZT5BsigKf5xEdcer8BLLgUg7MeyqupIJfQs9ILRPr2MGR4gjtVs782fnK8mF +eyQyOOT5arGSoNhaHwWCvt7c71juT1+0M55mPRTgwfA44LalouPme7+DwRL t/cSfGV776BzSF9c3+DHDWEpoUBI/fqZFyiISZIbmiAISn3iyg+KzX+DFm3v 7dw9xLi+TA6mHBwdwHb4D15OMMjPLyBH+719gyI8OzypYG9/Pyat8n/YEpGs sJvrvdmFMXdiwMGh8eZme94wcXW1c2m+QrEj/tWeVlTdXNPR0jU0tn/00RC9 k8z8p+1y8Eremm6u128tRyMTC1J18sjEyPm56eIcCruzszu/u2cAkGlmftS4 MpmUUzo8btBP6q+uNuaXJszmDWecf1Zx6e3t4fX1A7fQ2Nz0/tHh5u4WVoWr by+Yne02X65BxsM3G2BreX0Nirezvrnkw1c6sUhvaFhrAOLPDI9pWACT3jIA QKI4c72YoSRqIMZH7MRV48vLkhnBSHEEraYyraIiqaw0saI8KS8vprkp9+T4 y0E2v5VkfRMP9jcmxpqtmhd9R1fhKwQ1JadwVN9SWJZfXh0XEKG0R/DDYpV2 PoLvnXjvMAJ3guglmhYQDcUmiE9VCANF9kSCPYFk6822St6wdmQsxT9kcKwX kgTebkEqNgsUUAA0++XJ8thkqyopwGy+SqsoSi4tePA6wfKNkJQ8L7bk7HB+ dnH+kS9TFB4zoB/5AUHz4flXNDXY4ThocYgtmvWGLHSkSvghoZum0YmJtvb2 4rraLAAnAEYCi+nMdKcVaXSB6+ur+mXjIGzwvLY8NDfTo+uphLRa1ujwRuPU 79vL0I+ZTAvgpyEixNXRXl3VzFQ3KBhcQtCbG2tjnR3vSZCmpzpXloZGhhtA 1Roacpqb80dHmrZMo+zAYE+uvxNN+siXTlJF2OG5lU0NaEnId16U7sGBgLjE 77yo+umZy5MlrMRfFpNu+TrK0AdKVnnEDdiB7uzvzs7M9q2t6g8PFk7P1t7R xJUtdYd7Mxsbk7Ut1SfHBuuA3D7YmUnLy3iGZtuiOaDumjiZMFhMC8ASlRhm MIqoRMsi2GiFG8kfQYBIID38o1m0QOT9YCIAIAHIJAyndPXWl9dmbX6IwbS1 beofaptbnGBbvd7gGCU4K5qykkMiuKF4mC6SBDmyuXFCRc8wAmcaVxymhuy0 P9ByQuIjX0ZIXOzG6ujF+erO/sLNlSm9uGDBMHJ2bBie6HtF4K9tzh4cLCwZ Biemezc3J63OL9uW22/O6BFO9722x2cX9NMLYDc9OrWIEARWtHTvHR5tbO9+ Ao1+M2D+h063H4vXrm+uzy/M7wN255SEpxcxgmM0KUWvELLy+h68IDIhp9Qq iX2/H59fWTg7/xqaNZjcdXtz27C5c2ixnGgz8vMra45PTAvGDUe04h1G3j/c Z7GcR6flZZdUgp3c5tb8onHs9vY6Maf+n57gG9vbwUWY5+HmxgyT/d6+D6H+ nxoS3x7eXO9fmcHreZRZVPPfHmHDEorPz7eWlifN5nWwqUkvLFs0Tl5cbA2M 9GcUlobEFZs2t/cPFoNiM9c3Z9t6+kO0BaenKyenMLB8gIY6O4fkUYkluQFJ MTNLhpC0sJGJpqsLk/ly9faDVczNNSTgqmqtw8sD39Dxn+KiH83sca/IuNdU zGsy7Q3DSxqq1Kb5WyMLeEQmy0PjhGAajEyWFRXHFxTFFhTGlkBBOmIPDrb+ WLLlX5KODtdXjJCCJjg6TR2reenNyC8tzikuRjKDy6q00mDpEzc+gSd66S34 wYnvhBW8RQlfYRhh8aKkdEVEvOylp/A5kgYA0nMf9isK2o6M9uCR3FkS45rx +mbHKkHavb5eB4f5YrVdV5lWEusl8hmbmwDvsmlr88H3ibA1/sjk2HMMy1+b sL42CbrqP9yJusFulTbxX13x2txikjLMBs0OS4wL1Ub8b1eyODTYMNcNiYOM gxUVKfqRpsWFXtgXDLLvXdPreipgddWdiAaAyZHhRoCdDIt9ID810X5+LyTx 75Y2N+aXlwbW18amJzva2koO9kGLQkHHhoaaQOGnpyB/8A1I3dawszU5O901 PFQ/PtZaW5vb0FCwtTYcm5kZkpKfXdnwz+/Q9V39wsjk0KSkgprq/2aPiMst mDfM/ZsLNqWk7vb2cnF5yZsXsLqxZfmmAf/J7Q0U2Gt6fmh+YbC1q/7oxBiZ mSmKiAWvOcDncXl5okjt1u58cHLy3Ex3Z1etE1X4yI+F5AkQHD5GKIhOUBHk eIzSFXbVj80OoQYhYSIjtMKdaWXS/jyeCMA8c8uzUzPDzR0V8BLW1lUTFM6I iBOB+4n+EAqiB6HUWgE7BAvupwciIdMmhbswjBQQzUJKvV8RqE/RlKTsWFVU 1PcIuj2O+xzLscdDPEjebMmYvnV3e9psNl2bVwEgX4MsyoYPd6bUSclJhWCL cQAwsGlt3Lg0dHZiMJtXl9YWfrOc717nPhipIPzMw+PDjuEu+IrZ6tWbWlTh SlDmlLX84MSJSi/Fy8P46iRFXLr1KxbT5u723o9x2b7VMfd10yfe7h+Yec7B 5NkxoPfm+W/tHIDPTZs727v7lg+t9LVDQ4ICXF6us5RxKflV5xcmTUI2WMeN q2tphc2ltbX6yaHjk5W9fWNFQ8OleePmZnN9c+74eDUsoeCfX1CySxtubgBO 2Ly92YGYQv+TpruNwM0HBPihU8yn56auvp7/YUuKTYcsFlZNUytr06BR69ta RCGJAFuOTY/AdKCjk4aTk83i6jqpOsliOQYv9fqmcXfvAaQusMV+bm1lUkn+ 6ub6KyrqLQNPDBQ06ErAm2o2r1lDxkBijYuLNXVqujY315OjcufwXtNQn6Mj BzrWBody45JdWDRbDMWZhbRDE2hBaHIAAhKSy91ZVl5cMOmFJogEGjI7FJuW Fz49MfB3N/PXTdfXVyenRysrE6vGwcX5Ph9qkDIs+LknMyU7OTY166W3uLg8 hqcUP3IReJKEL735PzjzXfHC514CHFeEZYu4SokqTPrYRWCPYtkhGc88RGQ5 n6JgRCXJ3dnI4qZa0I362b7jY6PRNCKLVzR1lyGlNE+Rnx3VnhLCeR828WHR kfVpkZnFKm2yf1zSPzmgE3KzdAPtf/akckI0AXEJf/Gi+gkDRRFakBGow6uq 0kXqED+usLYub2MNCtja31sNQAVkrLL0Xl4E8lYdVt261fr3DiNZbxicmugA EGVhvv8PcVQErbe1OW80QKTZrS2Fe3vb19cXy0v9Swb92urM2vJQd1fF/GzP xFjL9JTuYH9paKhhcaG/paWwoaGwV1d+crq9vL51cHT01I+hisucmF96TeQM jA6UNLbvHUCRH7nqaGZwLPxba5tbYFr8/ev4ixOYga4uzncvL007O/ODI23a 3Jy+sT4fjuzKvJ5XXSGMiHUgCd5Rhe4sWWhc1Px0l0Ad+ciXbovmYIT86EQF gk/hqXGUACRW6QHQEVLqIo1lhSRJ/KTOEM5ReWOt8p/PPfdRcjdWKC4iXpyR H9k/3F5anT4xPQgy7BAMWuEGvkvy9wmK4cYlKxlBaPBkMGmAK5JwSkS8hKfG +oh8PLh+0khmY1ORN0cGm2e/JvBeE/k2KKYXRwaQz+ry0Ao88D6MQMNif3px wen52sHejAmC7iM7W1O721PLy8ONnU1gm3lz84vitt/pdO70Xw+7Y4GfDCbk vcM9UjB5bH787un7R4fuZKVMkwmmGpo0ThaVAZDSUy9OVXPv9Q2kkXnuy9Ok ZeTVNi1BLM13T/tPLWf4iXT7mbMUaIfu4fGfcor/qk0Efvrq6ri7v9uNGLi+ uXB2Zrq93R4ZH5qcXUnILltamRiDPE8Prq82NrZmLZYd8+W62by5d7CcXlhu WN6EIu5dm25vTBCb+n/G9F4g9lkXgAaKzSmXa5Pisyr+9I7syRIdHJ1Ybo/m DRMAUl5ebvnSQ6qbGwFYEgYn/3cbolSdubmzF5lSml7UtH9gsFgu4bBoD1XC 9e0tDwFtZcMUnZtuS3jjKSAaV0fu+1VZxUeHudXlvgKVJ4/3Ek92oBI+QUdv Gbh3TLw4PLC8Pr+nt86XL3blImRhMrTUGyV38ZU4o2Rgv+nJCcVhFO7sUBw5 wBdAJnEMc3RmaHi6f2xu2PLtbbrh8nT01Ol6K00ro4ND9USe1M5HEhqjeeLK TM5KCIpKeuTES85UM6TCf3/NdsMLbD34T1whfqdHLnx7hOA7R4juCc8TP3GF 3E5hTrOgSFVcmjwmWUlSIiVxUvATRpMxIFFR11PrzPFy4/u58hAYBauup66s tfbk7OGJ6cCYvLw4bOzue47hZJSU2+E4b0iCsfEuWkDYX71ptta4q88wrBdY tg2K7cEUl5Yl11anZOQl1TeXLsz1wLiovb146QMfNWzQC64PDtQtzPfe2fms QZq1XtB0C/O6Pl2VTld7cfFVzOf+ZgLA7PBgHRRpe/O9wdv25uzqyojZfA4F WTOODvTXry4PtrWVbW0ZN9fBAjoG8FJ1debwUMddgMWCutaqth6QYYfGZZRD TsHwhLyxs+vCkI5Oz31rA/hLCSrh6emBdVu6S1YG13X2RWekt3Y1zS6NvyLw vvMkO5D43yMYFIX/4kxnUXXFYz+6Hd4aQgXHDo2RKyNZvlJX3Mcs2ewQMlbh CRlUByI/R0d3ZkW0QL/oROnyyvz84qQylKzra+ob70aI31md4Ny5obiEFH+x hmwlmfSyMkbC4iM2yFAg8jGX0HguPzj4Tx4UK9kC14OtuNOyUVSh7d0Nmyb9 8tIQDNEBmB+f6B6bGTg9MUD2+VY1KxyQDuJzGG2bm+3d2Zy9hRRtP7kGfS7c BlemDdPW7NXB8U5qRfrZA43qq+urwJT4kPQoQbQQnI7PLGWUNggiEvFijR1C 7EJUfv+Ok1pQ74CS/dWR/dRNwAyTYsWKv7zh2XhyHvmSgxJzajv64vLKf+zs f4AB+bXS5zX/3ey1rBTr0CRj3d4e1bY0K8JTwRpqsWzt7y/Wt/eV1ff2j/TO zI8tr41vbk/s7hquzRvXVybD0iCkSrjZBmPy5mbXGrz45LdRqH/jXQ8XTzc6 IY9NB2vc8PREbH5mVG6aIi4Z7HceI7FuPKoPJ8CORLDBedZ19IKbt3eWi6ub QJtMzk4+dRMajNOG5Tmw2v7FkdU9MPk+2OjNueX2IZUUMNDKrikTRqtN29vO HJ+s8oTToyXQlZYf/ao2zeb1mcVRV6boJQn5lo5zoH4UU8+BhrHF+7iyyeUV KSVl6Y2NhWVVKWGJysLC2OhUZVVLZkSmQhgJ5j0okCU50Be2T7BaJrj7SVy8 BW86h5qtlnLflqk23IlLxvGlRR3Ydba0FT1xZdj7SEKiw2zcWTHJ4Tz/yH97 xcZxxAyJhCmP9qZIH7vyv3/HfYMU+VJlrgRVTHK2HULgTRE+coaEgU/c+Lbu vMAYGUkWwFayeWrKW7YLPNkGpAYnlCSGpIcgZWSsiiCIDrw0fyVhC1Sprc25 vV0jVhYuDE/gh8X+izNem51R1VTxvQ/t/Wpo5UJ8jmXHZaXWVCUXlyROTbYt Lw0MDTVYY77rx8da4PAcVnOj98xC83M9E2OtdwAJIKj5Od3cbPfWxmRLc8HQ cKflD31zd3eWtjZm4Pz5+RGozuXl6eHh5trK8NRU79xMz9BATX9/68G+cWtj YWa6p6oqfWoa4he6+diPaHvvYGNn7xrepVurMza7sGzatPwjOGLDJRycmOSG hQen5J+e7E7oWyamRgE6euRLl8ckvqNJ3lEEHR1l+jGdC11qi2I9w7CfY8ES zMEJhdoUOS0Q9XEYEQ+C0ptiDUTLDMaQAhD3o7ARVF53lNrQDSGY1DJtaJpC GcXUJIiJ/j5QJBGrkZI8gq7WCu6eTA1CgvtVUUwAq/hqAkkF8WnjFXh7vICv iXuKZLCCY7y5/k+RTHs874kf050pmZ3VmVYhooa93RmYxGkdIKL1sTvvxQ3T 2B0x5gp0cfDsZP/yYufs1GRtm58cmZu7Wzv7pvXtpR69DmxqpPHymaXJk7O1 6DwNN5IPGvU3d8fdLnVyYa6kuU4WF+FAxYItUv9kT0O73o8ZxgrV/tmD9MxT 4IxXfPeWyVQk+kfn/ukN3dZd9Mid7C0g2/mIn7ryX6DA1pUblpb7mijoGR5f XDH1jEyEpuQdHv/jsRk8bPqdX0lrh55DoqHrXWjFvtk3m000adTi0jgcKKGs ro6hSG7r6d3anm/pro3Nku8fzGcVRy2vDLa2FCwvD66uDe/tzQNodHS4enz8 K8Ko3dFr3yvJtyhIhHtkYWXFnoR7x6CjZNzXVPRTnJcNzscWh3Sg4SAbXSLR nkBxZGLeUKgkadTOPqRn7OzXT84Nmq+2E3MqmRARzak2vfz/eYT1Y2rMV9df IwzHnegY7y+q6WpNLM7QDdRcXqzcWR9ZjYd3TJvTrgyJHZ7nQCXCjup3B6ia O4+SWpKGV3CzcqJKS5PyC5OqKlNqqtKy86JKShJ6dVVgmlpc7OsdrOkdrOZq IJ8XmGiX4O9JDUG0DdY/eL0eKpmvzE1teUXluanZUclZmude3Ne+Ije8zMZN EBar8qMr/vklG8MWMaTygcFONCvoX+3paFZoRm5GTn5CR3fT8GiXI1rkRhDA AOmpG8Tp6k5h2ftKvPlUb4mXE8c1ty4PDOzF1UW6mlHWWhaQEphZlRWUGgRG 0c/Tpf6GdKcmuLm+vDheTC4sfYHlanNLIEtsEr9vsBUrCXjix7CDQmlA4a4C IkOnp7oa6rO7u8s3TONgWYECmVnZhMABxRlZgigHP9AyQ0sP7E2/sgQJlBbm dC0tBW2thSBvWBxYXpl/2Or82tpfXV0eH23dnW+Ypg72oJggplX9hml6bKzL aOivrc1eMowf7BnG9D3l5SmG97IC6/d/Ygf6B05Bv9aOAhZob+3uA/TrSJWc nV/oR1rX12Yi0jL/5E4kyEOmpkecaaKUnKSVhX5ZdNIPCBpARyiR0j8qwIdL 8RUhI+IlVhvsL4iJAJKhBvrBYWrvu7B97Lnv7iN86ytxgoHQnbgJPJAaAH0d fjJsmC3WUAA0YgdjWcForNKLq8bgxWy2v1QZHeVEFda1NbgwFFBoPCwHoLjK uqLNNUile2NeOz5avKMEv1P43hdsgtvAQAWZ05OtDZP+5GT3fXPeNay1oc4u zjKqM3X6dm4klxxMZGnor+lvEVLflv4WdjizoCHVge6o0zdn1ST1W00FfoMz FMyQX9pSj1MJ2ZqA4NQ4hITtzicyw9lHp8cseUpiXvU7uviJNxtMHbZevCeu /LjMKjuE5LEL18Zd+BzAVwT3iQvf1otv68d+g+f78CXODNk7mtibF+BMl1W0 QJF5b66/ddz+j57uTw67B9tTCzorYcvZzc0pWMfbe3ThSbkQ7fPt5sWFyY8Z EptetbdvPDxaS8gNau0pjMsOSM1XDw3Xx6X5S8PJcen+Pf2VTc05rS1lv7wA cObs9GhyUre5u/7z9/+BCQZIQ5Mzrmz6KwrOnoR9w4ACqUB8mEycVSFFdGGx 7Mh+flJ2YGLm/3yLqu0YMK7PiqJZXYNdw1ON0bn+SJFfVGp2bllzbHrlaz9Z fkW75euA4avrq8SSvIzKkjcMj8TihJ3N6SvIf23n+nr95gYKfgG5n1t2ZVFx f/GiO1Cobz8GSG/pWDsKqrqxoLQmKzNPW16WWFoSX1wSX1GRUlqWVFuXlZsb NTzUsDCv21qfmJzuANAIEqGrfKCYHUpCYl7R7OJaR994cU3Xt+ayemtt8Jwi 7TNPljRYrNJIX/sJXnjxbTwZLmRqVk4MmqkicFQeRC6SIezoafWhBf3gzFGF Jw8N1tXVZm1vjjU1FSanRztjhU9cBbYQQBKA46+OXAc/VUxOhqfIC6XAbOy8 txwIzVBnVWf5pwTm1OaWtpaZr8w/X7y/Jw1PzWeXFeGkgd95UaTRySSF+t/c iJqUFG1WBiREssYaA0gpNS91b2t8Yrx1fq4HNjcyLPTNTHfe16yB68OD9Z+E NjNY7bfBklRTk1FZmW5am1hdHrq+uvh6NfoN6fLyFMBEC8QyvQ2xI67OgoFa X5c1NtZ7erx5cryn1/d88YufD9Tf2eTjPcq1Lsd3ho5/8/WB95Pnl5e8sIQ/ uRPG541728tT4526wYHvvcm2KEbvcP/UeEdZZfakvrmsoeEpkmmDYiIFyo3N lYqqFImGiFW5sUIwn9Bf39lgA3jDCEKxQzCUAF+U3A1gIdge6ZOotQR/7/uM 2fefcA8vuQO4pYhkADDGCkIHJUuTiiMRQle5RqrWyl4RuKsbmyEpuY5kvgOR /xTJCo6LGeqr6eptPDpcHJnsNxgG70dR+Tw+LzxcrRyhg7vbhs/bCp5pG3ub 3jDfeom8XXnuzlw3F567I8tZnRmiSlKQgogYFYYbyWnqLUUrcTBp528eA+vb 214CBj8yBKPkMdUKJxbJS4TOqc/ghmjZiqSEworvvai2HtD26ru3TLI4VhiS DjK27gIbL94zJOd9hFYP/iNn3hsi8wWabePHekXggR6MzS0DA+VrEET/p0kP +Oaar64OT45njXOMMHrfWENqRcL19eXUYm9hY1pMeu7m1rx1MT3QDfYQBDHN XU0jk/VzBp0yih4cxxOqCf7RLEUETaDGgzw7EA1Og7U8/Yw1yuovwN6HJ4fG 5ZmtDePgQENEumJlc/n05GBtde7y4sxsvvydpYjwXvzn79k7PBTHRD8n+gJ0 9LHRDmSx84qKRErkb6h0WqDm+PREHEMPSFZu7i5abrfmjT0Lq0MFlV1g2F9c mgfH5l75So+O/3ZoxV9dC+v/sIxEgr9EGCNz4bo36arXtyZOjhch7adlD9K1 3W6nl2U7MWn2JLIDlfj2I3SEe0lEimOC4nNiq6vTGhrzrKHtE4uL48vKksAB 1kdwWl6eXF6W1NiYW1AWF5OqZKvRCIEfQcbCyjBPXIQ4frQgKDVEW2j5xjQU Vrt6S1Zx7V/eMj3JCgckzxHDcyJS8Sp3nNw3IU2D5yoqKzPC41PS83IGBjt4 /pEt7Q1x6XkjQ3UlJYmjI83l5QmxCRHeZKlKrf7BmfcKwbX34YJJ7KW3GMWK dKD4hmWFHkOWoje3ltv5lQVKCLW+px6O7fKwCRY1rG/vGlZN/WPTZFXEd55k Ozz3GZrtSBFKIqJtrKZHr4n8F1bPIJAHi2NmQdrWun7JMDA91QGgUa+u8k5J AZaYyfE2mE1IP9o0OdEOb8zfBzJb7B8ZbtxcHx/or6mtzTFfnp2e7l1ff0XI 94vTl0VAplX9zs7i6qphb2/7/nv9TQ1IywdodHfa0d+QUhh5/8rPwCT46s7+ oQtDprVaqgz215tMi0hhgD2BX9bcubk+195aONRXNTyq8+CowACwQdIG9SPL xmkUX8IMIgHcgrL649/nx75/ygvFA0gj1pDZIVimFSmR/H2IX4JDP3tASEkR xYDkUWFklMw1MjtIEssUhlG1KUo7DL6ooWlwYs6ZKmQHhTlSpVUNFePDtcrI iKCklPnl8fzK4t3NcStP+Bg8XO+TX90/wPW1ldEr85fZkG4hCdL52Py4j8TX je/hIfQCBxwa2Jnr6iHwcuW7N/aWYVXo9qEOy2/ldrAqaqEMS6NyYhG8hHSE hOrEIjsykd5CrJ+Ea+vFZQdp7YhsWwTvqavgiSvvmacQydQ8duXZwFHsfXgA Jj2FI9e7Cmw8uS8QvOc+/GdoVmpJzeXX3Gf9o6fbh1hP4Sesbq6vbJhGpidd udTDo21tYThC6oeQIpr76omBZEe2U3JJvH5i1GLZPzxaAGtrfVsL05/ICUQW 1yYk5gWxA1GScLJEQxaqieIw0l0Ie7rSu7AGik778wAJzAC7WysFdRniCPJA f11Te3FjU3ZVQ+bIYGN3Z2lvT9W+VaD0VTdxt/fopO67ed6XckMWfRaYrOA9 t21SSb4NFun4KUCCyBVfU0lvyPSnGERwSnxkdjxGQcEoODOQmdbB6ZlxYWUK wE40N0ymyQbP4QWmysOzrebZD1lHgHhPz87UGYkviL7EAI4b3+0dy8dD6MeB BMgZPaN1fePNoDwBSZE2OK93LOwn3EeODNxLEkqbGT062pxbEFtSkvDJAdAR gEkAL4F8AbihKD4jR8MOxaFkbh5UJlHlZ48iPXUVPfeSMqT+S8vjlq/vffkL 03vbgK09d1KwJqHokbPQDknCiHFuNCIhwA0nQxH9EWQpo7AwqauzeGdzcmG+ t6oKsr9qaq0GACkvL6aiIqW8PDEtM95fE52aoX3swmUpohWa1B+cuNaQ06LY nJy1rRWLdWqFa51Vkz23DOmhHjw0LRx2La209h1VDDn+ICE9Gmxo9MSPQQ9Q e3PlYL/5AsN+jmG/IQlc6OK/eNO5gUHrK0NgEZmebJ+d7qqqTO3prlhdGV6Y 001Pduh6KqYm2wEKmppob20thEyyrS7/P3r9T3eBZQgA44ODvYetzt+f7r/C FojGYWNvx/jTN39bMGlnb3NotGtiZji/KkUQjG3qrNje3VhYngH/7+75mffo 4Oj48up6cUG/sjSakF/2Asve2Nm7Ml/06aqHBhvnZ/qU2vRHvrTHvvTItEzL 7Zk4LMqeiCH4e9ICoYi0dxIhAGPQUsiekOjvDavJmMEYcAjCSNIIGj+MSA9C sYIxdCsJwCdObZ+o3j5Rw4k0ZE4oDjyKEYTCKj39JM58DTmnKIKu4PkIRGOz oyixWp2SCQZwbmXV3ERzWWUuGLduTJkPT5ldVmAwDOzuzB7szcL22F9ERx9E ScOX56tfbCV4hOwfHaBVWFeeOwyN4MNT6O3Ico7MVQekyIWxEuvNvxqHwKtJ 5/CAOgPiNsypKbLBeXoKqA5U3Esc+w2N8IpEdmVz7XHU75yY4MoLDMfGnQcL i75/x4Yz72VHPrz7p8+8IVnT984srCSsf3Q2Nr1y3cod/U3J53/PdG/XAL8W Z2Dpu/s0LKHYsPLbvcJhgDs0NUENUQxPj71l4HhRMmEsz5Ht7MhyCkkLUiUE OrJcPIUehbWZnYOVfnJcx2DTwGitIoonCiPwQ/HqRAFARJ8fACAJQnARaYq/ GcYdlHxqsgdMzoIIcml1Ul1zbntH8VBfra67ArzU/brqiua8vaPd31zHv/nr n+O31Q1jU2/NJ7fBGfjmGysj2+nZJUoqsaMgQbu9oeFeU/EfDJvxdgS6Aw1c xL8kIe0pqHdMQlxB0tRCP0bBru+uTy9P4EYQ5g1Gkij24sIMRnhiTu0DoiMY vxU11gij1Vglz5Hl/o6J9hT5uPG9nNg+ThyXV3RHF56bGx8Rma1NLUu2xRJA Ud8wMPZE6msy+S0DAxFCUjD+0UElJfFtbUVNTXmFhVoYFH2OlABGqq3JyC2J ARMjKQBB8Hf34qB9mHR7JJ0hkaGYQhxHWl6V8K3Fq700X62t780umDyIkS4U MkVF9mKRsSoXcoAvUuaqiBYUFseVlSUPDdV3d5eXliYUFsZ1d1f36ioLCmJA rUGDdLQXDw3WNTXmZebEF1WAHrRQJdrvnaAg1JOzEDq6vv4UdX8NWld45EzO L9kgIf5hmIIYPp5Bka1ErKAwsMTAH73EcXz5SieqILcobXkJMtVYMvSDtaav tzo7O2J0pBHkmxpzAQJsbs4HAGlkuKGgMBYgKJiPGiJgNI2NDDd2dpRsmMbL K1J1ugbLHzo/fyZXgfLmK/PxySF8bt3QXC+trbf0Dt/df3h8kl5Wd3H5G/fg t7cfEX1c36dq+fUtAX93c3tteFxXVZcTESdSx/IDYjkhsdyYRFlYvJAfivOP 5YBPt3Y37n/li885PT0aH20ZnZp8hKA16yAZ/vhYJ0BHoCUaunqtyjW2L1dy cX7Y3Nn6CEF3YpBogeiYJEV0kpwZjIblPDgFMjo9jh0CTr1I/j4YuTtK6gLr 18Db4SdzARmU3BUtd/tEy3YfIN2p22DfDXAnUeUjCCNSA/1gp1dwkRyAoAej JBqaB5NnWFv1j8/yT8giqyJlMWmLc/1dHSVooeopigUG8L84YTMr6iMzi0an hvZ2pkzWULw/BuBb+RwgDe5uT93efsEUFt6k1HbVvaa/8RL53AdIEEYSeWNU GG+xz+buws3Nifly+zd0KETZub/nKaDNrxjPLs4QEvorqp8DlfQcw7XDM8Ay YYdn2RNYNh58WwTvJZ5j6/NeUgS5xN4hIlc+JEHy/CBEcoMYpMEWDGQeu3L/ 5EAHYMm0+bUWx3+kdHsChbGwHF9erlxenmWXtqXk1WcVN/vQ1Mcnp7e3F7+t feC3e3RuFCVj+ogxtFCBA8PLiePsadXMIuVIfiQf1s9ilRgPvq899S0vUppW pOEEoSUaMkBB4M39IkCSRdKY/oiyhpwvIpBPknFpckBXlV8eF5jAa20raG7N 79NVgQOgpqg0OSsMd3R6aPmaY+Do5FA/C7m0XJovZ43Tklh2WUvBydnx4cnB 3e8OTg3KE5SxBdrG3ib4W6MzU2/omLeQ3RH2FZnk8AEgvaYQXlEIHwQyOHA4 0DCByRoXNtEW7zO/rK9oTa9sy7ZYLq6ur76GeTaMe6cN825cipeA7szx9pUS 3XgodwHYK3l5CLw9hT4eQkiMbE9BODK9HSgkSOCAZ73AQj7gYIPzhuH3goTG iyUV5cmVlakAIBUVxd1JjT4BSIVFcbU16drMMD+pK07hC2ZUMBM649l23iKV RpaQpqyqK15e6n8QfqcHTKAk69srDT1VaSWZaDGWHsTw5ROoQT7SSDrYI9c0 ZFZXpYFawxWHEVF7e3F7exHIgHYA1xsacurrs0GDgFYqLkk6PzsITy7/v/6C FIdmHJ+cAXR0v65fu+Lgxyj+kQAjvSLw7/yjX+A4tmgWSuT/ish/bo3a8MSP 4UAS5pYX7ayPLkP0MpAyAgr2utALKlVTnb6+OgqAX35+DMC9Y/pmgItA3Vta CqYmO/r7qo1LA7DBUkND9vh4e0peRlFxwuHhH7aHvY887zTjWzvr+SXx+wc7 ACZdX1/D9zCCYuOswXmvrqDFMTqrmBEUAzIzc2N3UOrX/uin1kq/tQXg58wt TQVGMmOTFSnZ6uhEeXi82D+KFZMkj0qUKsGY1JC5QejgeEFcTsj0wtjnv35X hvOLs9PjfYwkVBIFiS8OD3fBTvPkeH/34MiNKf/eh/ocwxoaHdzYWnOi8G1Q rJd4XlxGjDZZBgAS+DlFJB0gH4oKsbg009BSSAvwpQUhacEoVaIAp/DgqfFi DVmoIYEMOwS8NSgAn74kKfKgByIZQSjIa0PpxVcTCFYabYaVPA1cx79HUxBA Iqu8cksS17Z2t/cOlKAo2fleXP+FxWn9YHWQNuaxL9MOB43nnKpGq5j96uZ6 4/JiZXMD8iy4Czm3YhyGbZM+UbRdX63fFync76m4ojgAkNz5np8AJGvYbldy MLmoKSs4TTVvBEvDbzT1EcWGCKJCQKa4qe4JGunIxNkRGM8xPLBGOFAIz7Fc WwQXoJ0XGM5zNAdGPp8fNl5cGCz9+N+N/8xD+NxTWFYHmdJ9a8ri3yXdWKxM ngvGje3dHcvtjtVwemtja25obISt0uqG+pq72lZNJoCabm9O/p5fCs1U+8qw HgKCrwzlLULdDRI3vodVIesJLaY8Dzc+pKXFyJCBWq5QTXgvKbLq1D6RHXGC UIl5YVUthT1DrZafnTmvr68MhvG2jpK+nsp+XXVZdXJDU85gX62up6K3p3Kw t1YaRRVrWX9P7X4qwaVa21rNqExihuFJAYiu4dbq1kJpFF0QThqeHWruLE8v DB+YhPz0VzZWvMWIt8x3XmKfoLTg4uaSw+MDQbQ/ADzvmDgIEZE/cQHDvP9P A28EHRLIkFEviH4Mtcxyu3Vzs3F+sQz6FPYhtWLIh7c+2tjewikFL0modyxf tBLLjZAArOshBN3q9Y7l58b3BDDJkYl0ZhNduJ6ODKwDlfgCy3TjCJ5h6Hg5 3YWDQ0t5FRVpJSXxsB4NPior0z4BSGVlySUlcfFJGpSA7B8lJChQHmzUU1eu PULgReYPDFSCfdzYWHNTW6nl2wBIcBlqOsoQQkdv4Ruk1Amn8sCrvFEyD64a l5UbWVL8o6zsLgMaoaoqrb4u6w4ygSvwASsZW5oLN7Z2/KPzmrtHLPfER79D gmfv4ob2f36HBhAIBkiPfen2OM5TFNuNJfNgyx4haG5MCU4aBK5nFWWtWT36 15ZH5ma6YW1Fd1dZbl70+FjL1EQ7jAyrq9PBEgOuF1h1rJUVKXOzPZOTXZvr +m5dXd9A89zcYFNziWnNYPnjenZpeba7r/Hu9PziND4tYGC4Y3tnI780Ab6Y WFjtyRIfHO7B7rFzxhVHqmR7/2RqVp+YHgQDpF9Yfvgm89X1/iFk3xKfWVVc 25Ze1DRneB9l4/TsN9qrg0kgvTAqIl6sTVHFJCu0ycrQWF6olh+XrIxIkEQm SOURVHDwg7GKKIZxbeGLZYbXyspW3Vuy8ODoGNxwdWW+uIC4gAITsv/dFU9U hg9OQO57SysrtIDIF1h2UU1de3spgGTRSbL41IDIeDE/ggr2tts7a+19XQx/ dESakhGCAXtGfjhZHkGTR9JFYSRJOEUaTlNEMkQaMv5jdGSVFHlzQnAgj5a7 iTXQnSBD9kfQAiHCyTvJEshgIEIksslkHJvQgaKurRtEwdxe/fjiTHdhWeYL HNcOz/urNyW9vA5uIsstxDlzfLhoNAxYXf71WxsTYJRumMbWrO7/91Vs4P/F mRFsRT8zvLfy6NblgjWOEkL7HCNBJkl8D1e+B0Lqa9oa/w3hmPWzY8enx0PT o4/QrgaTUT+98MSPDubYVyTqMz/+M1+2A5UAK9cgB1gf7ks829aH86Ok6L4Q yZNn48Gz8bTCJA/uU3ceQEf/8ZrOC0yF0f63MKn+bgmyS7+GfO31k6OJOTUD +pHZRb2V3A+m9dupbGgYGR94b2d7uw2ts7fv+V1/eUPBdx6dHLcP9hc0FLvy 3NgauTMHjA2PT8fJhwxASmDAYGS+og/o6JMDoCbISDuMqEkQgXtmDZM3t18I RX3/yjUUJ7SyuSWvT1cFMlDeKj6CAVJfb01oijS3FjJkenDzFav07Fo/1adJ FosiKTUNmS1tRZ0dJbruiq6u8oa2ouaWfJWWPTGvB3fm1OU6MN6CRqCpGaJY cXBaaHFz8UuyiyMD70DD2hOpX47QwcC8JpPtiTRI0MTAgeM1Fd051HQL4C4U e2LvKw1sGG6Vtzbakf3eMUguHDToQZQC7SH0duV5uQk8HZlYR5YvMZD0ho6L yc+OK0p8RXvrJfJxoHunl8TSA5U+HHFBSWJtQ05FZep9dATylZWpDQ05MEgA p7qeSjBTNTUVdLblMyVBsfHRodGB3zuzXPEye4TwkQsrIz9pfXV4drb/9Owb Ch8JWv7geH9iQS+MpoMpGlYKEFReCLFTZJq8piYDrt3n+sRPGuQDTLLCp5oM KGDxx+n3iaME/8Te4VFOVVNyYeEbssAGyQxOTu3prWXIRKnFhds7M91DXVx1 VEVDRXy6tqQ4rldXBbAQHOl1frZnc30cZAqL4upqs8CyUl+fXVwUX1ioHRlu WFrsBygRHNl5EaXlifklaUuLgyvLw0vGmfq6vKy8yPXNZcvvMUt/Bgaur6em h7UpSgBy1taNACbNGyZrmwqyC6IvLy8y86NSsjXG5cn8uo7vvYnqWJlhaRL+ IjUgSh6TmFdVrdRw5xch67jBkY7egZa/7SwGq+dOTniBKd6MwNSCmr86Mf/8 jvzYmTdvXJ0zLvMD0zSJJb/W8Q2WsU/OjoTE8mKsYhz4iE6UBcdwYxLfn6q1 AnAlPtXfP4Kekh/+uc4a/tGT0zMXurR7eNwCm8BZC9LQ3Q/A81uyaGUdEuQC RH1+acZIQgtrm8FpekklR8XWJst0/c01TaUJGeqLS7P56rZB1+QjcGeGYAGS IQb4kKyESBiFh1W/Bh1ouTvmgzsbRuEOe7cBLCSNpLFCsEiZKyMIHRDDthIi eQJ0ZFXeeVIC/O7oKLFKd24oMyA+mB2Mis0Li0oOqGmu3dwwjI60+wpUT5FM gCvoQdFmAAVuYGHgyeXlyvLS4M7WxO729PbmxP7uLABIYACvrowcHS5YzbNH rP+H11ZHwKd7O7MH+x+xIcGNsrhm6BvvB/O5E8fFU+h9t8xBGQFktu3Ccwcf 9U/owM1zy3O/xPkUfvL5xcU7JladEZVeUeTMwckTNHWduu+8KK+ITAca4TmK 88RVYIejgqUBIECAjiCJEJL7zJf71P2LQiSAjni23rynHrzn3pznSDZk0e3G h8VH/0ehow8JwKGtFdP0xPSIlXERoCArs59ly2w2gfcIZABYgvDS7ZY1gvz+ 337kx+n9q3R2ilUKPfhkN747SoF342EAov5c3nj/8BJ5iTVkiYZ0HxfB6rag WC6ARqxAv7BEcXpRVIuu1vKz0j/4o4mxTl1XeW/Pe4DUr6uGM73dFc1tRQbr RunBE1z9g/3Nof664YH67q7ygd6afqteD/714b7a0qqk0urkmyuISbWup/4d 28VL7AO2G0g5urqzFiH1c+F6ODLR9kTKawrxEwf5u+MVmWRHoMLCJUcm3hbn U9Zccnt7dHZmPDtf+3reebC+QZUU8QT75jXdGeAihAQAJE9Xnq8bz8OJ7ecp YKDkVGVilCgmbHN320OIcOZ4O/NcAuLFHe1lCVnxfT2VE/qW5ub8TwyzwaI5 0F/b0JBnFZtox0cbjUsjFbVl0uAIaWCIN1memBr81J3LVSrJwqDv37HTclPX Vwf3dpe/Uk1/VbrvMX1xcW5aXcyuTPIVvyP4+2CVniiZqzSWsbjYt2wcAggB lh3B2OBD9ZPA8UmDVFelVVen5xfElFSADZ3ZuL48tTh9DWZzsM+5+AOc388O 51UxMfnVZWADdHlu7OooamyrtEbwPB6fHeob7uhuL8wriLNWMKGqKk2nqwT7 EcNCX0tLIYB5hYWxADgND9UXFMbCQiSwynR1loF+zy+ITUzzT0zT5BTGDI/U d+uqUrLU4bGCvqE2y1eW83+yClgFI1ddnZUNjQUlZckApEUnySITJLlFsZpY 0dT8VHNHRUgUNzUrKKe82IkmVGgkUfGSoop0k2khp7LWkSJIylRLgmgATVkg Htd1AD+Mq/Of/9AnCZbU5VW2/M/nBBt3/mMXrq2H8Lu3LIUmNyIz6zmC+f8+ xSYXl93d+QuTteluF5amw+NE2mTlJxgJHPevgEObrEjMCD48goNPfcrws713 kFfTDJ/eWjX4S2sbXlyVNDqluRc2JIAW+uq2HlEkpIMDY/Xg+Dy7JDcmUTKu b9vY3g5PACilihEcb9raJAf6ouWu1jiz7nd+/QAmkfx9KAG+FCs/EuzRxgzB MILRRH/IykgWSYdZIoNieBC3ktydAgWl9QZf54TScIqPrLitpLLOGKU7SekT naTa2DTNTHQExico4rI06QU2KObyOkzUaTX6utnbMOnXVvXHhyum1ZHLi42t zSkAk5aXBgA6ArW/Mm9cnC8f7M+dHBvAFdj70myG+bQ/bautva23LCew6gEs ZLU68HDluwOwBP6D2VKWIHZgOBY2FGRVZ1NDaMe/eIt3dX3Niwx5SfZ04xIo QWIHOkqdluErCATbFnsi3Y5Is/GCJEKvSCSAjp75AVxkVaVBKIj7E0Ikro0X 9xmC98iZw1PHPfZgMxUJlt9k8PYPncC6Vt7Q0T3QfXu7beVm3AM9fhcYAvQn pFGF8lvwqeV2z3r6XsV2cPQrqJjhV7ikuf4HlIuXyMcVQss+sB7tpw8PhNSb FojjhGBgdKSKYvhHM0HGP5oVquVXVqTqBlsUUYzB8Z47by9YhXRn09g53HVn uX1wsN3fW6PrrtB1V/Z0Q1IjnfU/WJ2H+moDE/hLJoPlq4Hkm5vrkaHmzo5i SGYFymAVW90doAwdHSVlNbmazCQ3vp+bwN1bjAAvDjmYilZiYXWVAxX/Ek// lD4IEhZh7pzl7Qi01xTCWytdkg3OJ7sqGyDT29ut3f2Z84uvFd8T3pO2DrYp EpWp5akAIAEYjFQAAOzlK8U5sjxcOGSAkeTxkaQASaOus3Wg8zkBbKAQvjJk U0vh6EBNbU1mY2NuZWUqDA9gsQlse1NXmzk91VNWnt7YUJCUkdo30IHjyNAs HtgWffeWG5UUw1Uqnnty1bFqJ6yis7Omra1gdrr75sb8SwzSfp8ECtPXV1+Y HxOVqoBpXmhBSJTMzT+B29SZv2Y1ZuhoL4YRwh1GKoeUiT9q3EpLEguL4rq6 ygCcaG3Ob28tMK3Op5SnPMI4tPTrRmYmVInRXcMDu4dWS7avXynwloA3a8M0 tbY6YZU2b91+mDesYWXWLZZdMJkszPdOTHYtmyZ3dmb0o405OZGgl2uq07Nz tYVFoIsTysuTq6szQN0BfAJ5sBmfne6C6luamJoZoomThv3/5L2FVyPZ3i78 N9217v3u995zzvvOmTPd007TTeOSBEkIhLi7AUlwEiAEAsEtuLtLCO7u7u7J t6sKGFpmhj7TI+/99qpVq5JUqmrv2vL87PnFChJSFGCZrmsq6h1sn1uctP7+ kuzp6fHp6dHe7uLFBTRqRoY71fGqDnPbxFjH+ERvZ1dJvCE4Ti+RRoh1aZr4 ZLlaJzSWZTFDopRqvs4APgKYIdEkyjAsdrAaYAwJwBiHRwfX11fZBfGxidK2 rprJ6cFfrghCyhebUvY3W+pLD/4zV94zeAl75SH43pH5vT0bzRYPTU0Mjs39 G63RN9wZFS+MSZR9Aoc+RUdJ8uBoekV93i8/KvITAirisovic0sefg/K+cUl WMeRaOjajp6hiSleeHhtY8Xm6kR6cZkwKoYXlWgorMirzfASYGhKb4IcTQzG wD7Y7nCuEBfIQ1vmRgjyAACJpvRhheLBxoCWhgBmiK+31FkaRRVGkHykzv4A UAWjvcQOYUmSwHiut9gJ/yDSzS8QQlz+gajweIE+PSSnUJeeExker+wZmUBz gyuaO6138Pv87AS2o5kP95dBPz+GoqqvLDc7R4ezME0obE+x7kNaBQv08RRK RNJ9cox4WX+MsWH8uLm7FZOjBrN6UKKMGkbxFHt6SX2ALPyB4VjVkX9yulje mocWYZ77v+yf6P/lBr9vXuRRc6pKn/uhwLTvLWF5S5hPvYjOdCGc5Yfz2o/2 0psJZstXOOoLNONHN+4zFPtWU3R78Jkbkiv7uTvrBYb9vTMDywrLLK+ZX17/ NX3n/20FVPby6oqnTHHykx8cLlhuNk5OlqZmh6yWBxjpLkME2J+drd5cgzkQ NBTkx15W3y0OT3p8o90qAy/OfQP5djQPd8HPQ6M7Ey0En7guGKEj6NUBgWiG CisMDwDQiBeGD4vjggMgYM7PjHT0NSUbo60fB5jAK6NldHbMlevRPdINvmnt NXV2lPWZKiF3I1N5X3elqbMU4CWwN3dXq1NkkjjmHeHw79IPwLMtLoz199R2 tZd0d5Z3d5XfI7ROAJA6S2vqclzYhCc4dyc2GvbecUNcs5xhccON7+bI9H5P +SlA/h0FoCM/WzLWJoAAJzXDv6NCx7Yk4gc6BJxeETwxQtrcyiBYv4zVCUcn Xx0f8e+VyYVZnjosJkcfoAogKhm+gQGG4tyylgacjKfOSvELFJxfXMjiNS/8 HRmRjNX1pU5TdWaOBoYBt6oSsFAa70xL2TkxYyMN2QWFJZVlTn6B5dWVutRs jpz/3pv/FsNTJ+hLK9KfuzJUUeFpmdrMrLh8yB6nXYWx7p9VkK64tb2+uDx9 dXW5tTkFeRPlaY35Wk2STK5hcCMIYIoGMMlT5JhWpN5aG2lqMgIIVFOTeQ+Q Cm+hka6oKBEAJ4AZSkr0pVVp7a1FxeUZps7ypFwNLgj/muiaWVnaPTLIVYdQ QqTmUcil9g9DhldXF1bLJZwq+i6hzEPu9Duk1N7bPDY9MDrWXl+f3dJempQS WlycmJoZ09xk7OwsBXgpK0fT1JzX2JA7P2fa3hwD7ZCaHp5njNMkSmMTZQmp SgA5ZufGfvlhftVo9Ziyvb02NNRV31AwNtq2stR7erK9ublaWZFSXlPQ21df 31w5P9ff01sRoRXCLs3S7By1PkUZmyiJSgwNiRHHJ8s0sJUKHFBkAlmkWJ8a GKLhNLaWgou3m2pDoplF5alJ6WETvwqQYLzR1DH4gyP7udtP0UZPnTnPXfnf O5N5UVGCkFRhaOp9mNuvlltnyI3FSJ0QVhb9EkCK1om0yUHJ2ZED42brz3MU fHLr0/OLh7rThwURk4N16ZqMggRjpSAybnKkcWRizJEmi8ks8JWE7eyfRCZq YpKU6kSlKkYQnSAOiePzwsiCSLJQTaGH4vFyyKeIGIShKrzpKhwrxJcFmeQg 1AQWBRKUfsgNfAR4iRtO0KSpsHDw2hfJJBUxLFiBJhGpKK3dbbUdvToY193b qefnhqbGm3d35ne25rc2hmA/Eyvsg30FbZDDyRG8v7ZaDq2W1evrrbPTn6Wh QJDM8FQPEHg3dubTy+Onl4ba+up9g7C1nWXwNfdXt4bdeG61XY8K1YQUm9fX mZXF5pGhlc11sDSAFeEDzY+oFLwnE1/g6K/xDCi21IsNuRW5Q/tXWBriZXRr XIN8jb5kZXOF9EgvPbjPPek2GPHZGZLn+pcf5/+2grwvU9+EIES3vz9/drac X17Z1QPw857l+iOAdJ9pFM4Wsbm9u352tu7PixyZ7LVYjh6j3L1zUV6Py0ll RijfUVG/AJBcbgGShxPbhRVJC9SxvcWOiNsGIRDlI3Zih9Ja20rVCWJpOHFs tOf65np5fen49FY9sr69ObUwa4X1Y6wo7geGM1cD1mXtMz8nXoQovyyxo72k rCojMTO2viG3qja9oiq1tauifbCVovIZmRm0/m7ae2R66epvqq/PamsrrK7N aG0pAHszjJTAU5k7y7KLkr1EJBfez1ke3d6R/G0IpNf+lPcUf1cu/lUABiOk 29OotkSSLQnrzA5wYhHfEH3eEL0BcMLLOWC8NHXXXF2traz3nl1s/wGdHGk9 ZD8wOUhQkgYmRpCfcmvKaWFymU6tL8zZPzoET85VC7cPdgFQLykz5ObEQExH BbrcvLiBvpqGuozcvNiyMkNRkb66KtXU3WSHlfzLgYPlcNSpETimVBwqCI6M TEmLrSgzpKbHpabHlpVClJJ5Ri3YH+7tHBzvD8DcoZ9EeP0BBenwvX1N7R2F cF6ngZGhupKSJAByiov0YN3nRQSA/swK84PzaboDjDQ83JhfEF8Ak2E+dNU2 QlF7aU1N+cVFOm1KrD2dEJ4Q4sHi6TMTE7LC3jHs35JRhuIC03A/XxPGilR2 DPQCdHQN6vyH+CNBlb05vIFSRX86Y9zNGwAgnRTU1GCFwX1DfTX1GRtbkzF6 hUoTlGAILShI3N0dv7xYXVsfKq1K7u2tbm7OPz6cHRioBct3Tq4mJSOSp+SC ZXpwxLS7t/WlSlm+lURzdXU1OWGemzGZu8tbW4vWVgYX5nrN5nojHGF3sDvZ 1lpY35C3uTbc01sdrVNGxYvTMsOzczSIr050vCAu6Sd0JI8UcRRCnUEepRWm ZEXs7h909XeDc5IzI1Jzoptay6yPNLGVNP3vV6SnTnCKmQdOI8/d2U+c2f9h Q2bIE6+urr8KIBVVpas0LG1S4B0WksXqf0JK4DgyXgjQEcAnymjG8Ni/mfzi k/veqztGZ+btSAK8JOy1L7OsImtptkelz8IJFf4SVX5NS2lDPTdEFZ2sw4m8 BdEEeggBL8ZJY/nanFBFoiRAjgUo6N7uRgzGwC5G7v5yD7oKi8S44WRAXsKK wjm+UhTs0e3xwKMbgkbgBHAyUuX4JKk4Qlnf1f8A1CE28dOhgcaD/dXz86ON tYmb65OPupllD4713r2zp9zAqdJ/6RUgDdjS19rc0wzl2LJAFArX10dHJ3Pw wanFsmMaqs2vy7A+LkQRacz+iTE3DiXemPmOgkMSNjmx/O0Z+Dd+tFc4mH8D x4KAkBsARVxofxu8xrknzYZVRh/DJFfOczfud3ZMoliN4Si29/b//6Y+st5b Rbf3eUp971B3/0hPSl4RgEZXl2u3NrWPN5jaentgpHd5bSavtLy0BkoT/wvJ ix8WZKR3DPT/iP/gwvVyZPm4/iwGcL+3uzlzXBjhfnUdBUAi8IW7PVXhE2ng M5TSkfEJIG82tJTt7kIZkToH+0kq6eHJ0e7Bbn5dqbcUl1qal1NdLtIGObCc AeJyZDu58lB2dAhjUFQUJxbBkeFf31Tc0lYcrhcWl+mBSNU3bkai7x/XFRCT +1esQeDMy6vL+NzIiipDRV1mQ2NuQpaqpaWg+84TqaO9dLivLi4j7APL0Q32 4vscOn6g+cKRmyx7GsmBZU+PEMQbs95TcS/80W9JPqahPkZ4kB3Nlxsd2Dva eng8d3GxdGv1sB6dXzzqZf32cj+6IaXZ+q1L7TXE33JNDwtUZxqISglAy3uH h+eXtw7/S4sT5eVpmVnqmurUjlZjZXVOelamMQ9y4h0daQKAYbC/Th6e8r0T yS/I1Zns+wYl1OqVucYEkozBjyDk5ceVlugBslLrIXKVmExVR3+zIkkUYpBZ HjzMH1N9uLKWnr7GyfGmjdWR7Y3RhqaCTGM6VRSZnBpbWqorKU5WxfOAIMwO 84PJfl2JSs9wgygjOzorJ6b8LnAPZg5PAgc1tdkNDbm1lQa2IuiJrzdGiH+O Iyh1UcpEsQPL5Q3JKTpL29LbzVOHkkOknYN9f0w17ysLLQ2WtS/NGFBe6RtI qroZnJj9hxuBH51UUZNVWp0fY4jxFzBFYeL0zAhzd8Xp2dLe/vT4ZGtlXXpX V9nqav/oaHNCigKs4CnpYbWttboUVWc35Ojyc8ILlBPu4mR/f21zY35qqndx YfTO0v5YBbcV0h2tjo+1rK8OjY22zM92A4DU0pyfkREFcBF4iX29NXW12UiS 97zijIys6ERDMHg7iQZlQUnCzFRHem5UVLwQLLuxiVK1TsJXCTUw2IiI488v ToYZcvgKus4QmJodnZ4Xc35xhphdfqVtwdBY3cIyo1FMyQsvMpxi5idfkReQ SxJdHJb+SA2S5TZY5kCfFQHwT+yt+kim1omitIJY2B8JCJ4xCXCwfxQtLjlQ l6o097davlHoq+WOtIemivnOg/ijD0MSFTXcV9lmantL4NGDVDhRaFN7tUIt CIoUyKN4onAWP4xEDEb5SJw9hQ7eYidf+U9pRJCUIt4SJ2aEv7E6XRhDB6dB 5oYgtDpBSg72IwejCUGo+7+AA0htCzlvu5MVXiGxXLVOmm3UDvQ3fbGtLu9m p5svsK3COMpy8pli5XEw9Wbfarl4YO+wwJBp/y7Q+Nex6L1T09TStDA28kdf dwCQ/AIFzmwiwEh2NJwtyf8VDuYow0NKJMjX6Msu2bdOR89RrB+deXcmNt4P zizXAOXEzNLY7Pzp2V8rs88fVhAVbkP7oDcjNDIha2tnZn9/zgK5IX1ZGATf 7+4vrK5PJGTmW617IxODG9s/Uff8QkFOqO5oceZ4AojiyML8gvcRgAFObA9w AlqIcuO+T8rXJBijMUJ7iFJP5FTbnJlRUF1Y2QZW/PsontSy1Ke+9ookrUQn zajI9BCi/INp/kGS0NRoB5YTSuiJxMe5cFGQYorj8o6K8hQxjuHUDAn56rzy pP3Dr2Do/dyH85F/BLNiQ5Oxy1zT19egzw4J0rJ7TJWmO2/t9raiHlNFdpHW ke3uzP6UT+wuvs8N/ARgkjMHhRF7bsBMbjKdOjrTUNkGsRxkVKQurvbfQGj2 ANb4HcNK4IM/Ef/f+4OB/ezSwujM1NrW5tHJrSdbd/8ET2XIKARz1E1Pf19w RKQyOi4lLdaLRdUmK0pLDLsbY/XNebTgABSVh+Z44gNd6Uo/Q2psQkqY0Rib mhVOUniBeU8cTYlMENGhBE9QMK+32Nme/ry+G2LgzClpOjm9+CMra7VeRGoD WYHKTGNif38Zjin4f99Q3YmyyLgwX4asMF8fkSgKCMYYMiNoELULBoB/T4Gr WhcWkSAtLkkEtS4o1BuN2rr6XGNBYlW9saw2lxLI8RYwbcm+dnSfN4QAF6bQ lkhx5aLfUuzD0iMAQGJFKujhgXG56cPTk6ub6w3dTYNTg3+II9aN5fpLIpVl Y2tz5BrSIFnb+4afelFfYNnSSGVmXmRlQ5UolIdmcXSG4Oy8mNTsiKSMkKmZ jsQ0ZXJGqD5NBRbrOD3kxhOqYQ+NmiamBuKS5BcXn07UQLo/Pt45PdlfWx1d WuhZmOuen+1anO8Gx3199ft7SFqrx1QfemurK2PLi1CSuJmpzrWVgenJjuGh hq7OMijjyYyprbUIoCZwPD3VOTHWZkgPzcrRQKlwSvTgm9Oj+U5TCeLkHKuX RmolYNMmy1VqVmtHWX3XIFnCTDDI9OlhcUlBmzDt+ePBG5iouwYH/+VMe/YQ IMHi//f2LC+G6ur6wvqItRm5497hjiZZHg2wXJIc4DdNgjgjLya/NDkshgse 3pAVoTUEJxgU8RkhfCW+qa38Nxoub2+6t7EHU5MhfBQtvUNPPKlg+bYj8oA0 ND7cKI3R2/ix3uBZ3AgdXRXzCscgioVkKR8nweIDAbyBvIY+SUcCeW4rPME4 Yob78aLJhGAMwokUquUGx7HoIT7SSB5W6k4I9KIosDiZC1WB1SSKJVFkrMwV gCWSwoMY5OXK4AXIItKLK4vr25rNA2cXn7Tktw9n/mz5+Oj48S4r4NzVrVVK GCVAyX1Lxn2g+9HCRM5sf4CUkCxOr/3or3zZr/xYL31Yn4Iitzuw5MqFmSF5 Lzzp918+d+f9zZaqSSv8plX/71duYJ2nKCzVkxaxsTkDYE9GQdnNzbbF8gUT 253n9vbF+crl5frB4VKQOnVhGVLgPBIgKZM0tlQ7gF7u7WguUCy/66cYgOfu wUc5stAePE+83BVA/dg0BU7qwgrF+4gcK1qLwRC7vLyyWs4sN6cIqWxtV60j 282JRUIJfRXJCmm8HNzFL4jlxMJ7CDHQvR5QT7gLUI5sF38FBQmvuLq+Or88 t96Rv/1qoyHnHB3tbm4s9k/07Ox/hWPP1dXF6sr0/t5GVU06GNqNTUZTR2lz k7GxMbejrbivp36wr9aQrX1LhmgxHlgbP974bh4Cj7fUd4YSAxggLX0tD59t bWv5/By8piNI6rFcwgrjb5xs4qvKLzQpMlV29o3/HxvK395SMouapuaWPWmK /+cVlSkKw/PoPmJXQTQxrSg+QCJ9S0I7s1FeEle00A10jwA5jhiMoSi99emh Ki2XrsJipa4BwWhmiC+QFsFECvY8NbGho21+acudGFJUWX94uHlz82XXiG9Y WVB2945yiuteuHGc8Hx9moQlF/7owrb1FEXGh7/35rgQ+A11mbIoLjuUVFSY AGA/VuIqiArwZpNdmTg7hrc2Nb69tTCvILmoQKeIVdY35it0ofhAznN/b1sy MvXhbMn+L3xYQEL8QAkAAEmdHVPW3EgOkXKiQ9y4VB8pnRxCx8kJhQ3QFPfN s43cF9DHDg+3bm52rx8a5a2bAJnDlrW9xYWe1ZV+2L/Cyo1M+M6D7EDmRcQJ mtoqcwoT3Wl0rlIUb5BGxYvA0hwN79U6MdhiEkTh8cqM/IQoLT8xLfTs/CQj VzM63mf9SYkEK0MON5eXBhBemvXVwbWVoaWF3unJzpmprs6Okro649raYzkB bm6uVpYGkKTtE+OtAAstzJnn56D92srg6EgzwEjgYA7OgdLQkJOTGwMFEeRr B/vrjo/m+vtr2loL80vioTB5vQxgJIA9QI0y89S9o5NkuSw2UQxQX6RW1Nld Oza3vLX7KNHSCs/Sl1dX4rCM7+yYL9x4n6x0ADL94Eyva4fTUD6CBhYJQ1tY mk5MVUVpBVHxwlA1Kzkj/PBo39TbpFIzARqfW5xUxLBGJvsSssMj9OLj38aY gdRxfW1msL/+8vLSchsVeO0vi/jRi/bUixGkUU8M1cSmGn7wpL/xY/8LTbGn SOxJfL5KIA7nEuS+/nLMF/2IsFJnIAqRlV6a1CBWuJ8fTA7JDw8IipLhxDhV DIcgFLJDiFwVPyyO5yVEh8cJAyOl7hwvkgLNUVHek71e4HGgT/6nO+k1ng2A mVCt3zs8sv4hMQ6/sdwmujg/p4QK35BcADoCohM5hOPC9XxHuY3feeNPfYmF yCFf+TIgXiPnjwGS652tFnLV5j33YEEYCVYivfVjP0UTatpMoEddXv+Zy8ef Uu6NrWCqOb+4jEurmF+c6hvu/h/PCDklLRbL6c31z3oUwEqJjevrjYnpgbOz ZW1a0dHJo/RvZ+cXlFCuPdMBVuZAtA8AHaEEaJwU58x1c+N53BvXwPfeEndv McqOhsNJUViZiyA8gBPmDyQIcNDcW4/U4b4uVngJ8Av2c2D62DPQKCEKH+Tv xIHCvpzYHs4c1OdIw4XrhhZhWNFsIGJ/bdOBRjs42B4caOruLNOmB/PUFCQN 1uNHFVhWWnvrU4vje0yVU5M90zODbW1FS4sTl5cXN9eXzeYOtJCIEqJhfREK NjV+rm2D9GAirZwWzsCICENTo3uHe/d5uB62z1+tPPTevPeC+8GRBWX8cWC9 QfO8qGJ4hOKfutNdCGx3tvcLAuotCWtH9XtP8bWj+Doy0RgxWhBF8ZOjfCGH TBSUsFvpDXoImC1hlx4PAJB8JB/4kVIsPc4OKyOJdE+dmVHxsoGh1t+1dsgK 1dgxiGNHc5UGWy+eP0vyzotng+Z98BF7UkRPnRl5RYmFJVnR2qjk9ITCojia ysdL7ByTHEiXSd6S0c9xBEFkxPh4a1lFWkKaxoFBMFZme4sZL/yhPMV36X0h /bmNP/VtAAnI4O/IWKKS4cGjE4IF+CCyO49qS0FhRD4EJSUkNXR9e+v3i4g/ Pz/b3Bz/eIrYvL5atVp3wHZ5uTo5aaqrzZlbnNPllRWUZzlT6G4MXkiMwJAV UddcwVfxnamcOP2tAwwMKm7dYOKTZTyVKNmYb8hQAfg0NNo9tzA5MgbBgAca IaQXXY0MtwFw0t9bOzLUODnRDrDN9GTHxHh7j7lyZrr35Hjn13AILPIcbi7O Ayw0NDHW2m2qeJiWFCCihblu8A2UHm6hZ3y0pakpr7hYn5sb29lesr05Njdr amjI7egqaWrLm5hsidIKIerFJHlYDDe3rARULyiSHZ8cGKkVJ6YGgxu4MYNm FlesjxEt4f3e/pEfL/K7D7QnjpyHuSGeuUIRbf+wpUsj0q2PA0j3Nz06Phid 6DP3tzS2lmmTg/qHIJabovLUlKzI6+vr0an+oxMoa8b+4S5CD/4bxApILXJ4 sDoz2baxjuQHhN5gWVPHE0/KCxzTxo/d1lqsTop/4kl7iWN7snnySHFQtESh FoXGANgcyAsj+spdP+GHBMNcEs2IMQRGJci9eM4YgSNW4oKXuqt1El12dlS8 PEDEZQUJpOHi8DgJQcQPEPNBT7MjQuz9ITHC9Nz4UF1ioEYrjtIwFOHB2kTL fzeC6IyKIpyMBwY+mBbsGX5AMkIJiBiR53uqNxzCg3+FZyKM2S88WQD/fOKG fUsFiTBDojhPnbkvvWmQk5Iz95UPx4aI7xn7HT1y/1LlYff+vJ/PLW2QRdHe 9FCGXG+FMuVtfQSHvqBE2ri6XL262hqf6tcYiq8fQVMGw4qbspYKJ7a7C8fT ie3mxHaFAYA7P5zmAWDArcLEw4Xj4c5395FAwZjeYjRe5oGVuQKhICZBQlX5 qNMVn9dlfnW5vb/PV052YLk4sT1deG4QOoIRl9uXrXgeKCEGHNhQbLka3tnF 2SOH//0587NDzU25fd3V+aU6/0B3sspnY2f1ay9ycry/MD+KfDw/+4ic/PD4 mBUFZAEAI8HTop3Znp8QRoGP7nxPlBBnR3fxEPg5c1wjM+E4vl/zavhLFcst 0dyZFw1M/kwwkJ868SDvQVfuO4KfM9f9PYFk68+0o/nZ0W6BwWt/mh0V6yX2 1MRHymNofjBHro/EGS34AA6iU2X+sMsBVuoWICf5StEfCL7/tGc5+vJQJJ4i Wr0439XeVbWzu2V9nPD+b9ToEubTOzg8c/AN/O4Dy9Y3wMmP8w5Le4WhfWfP koZKQ2Mi7LESqlAZqw/W6MIys+P8ZT54GQ4rw9jRsG/8KaC+fnIeXSXzlTDf EH0Q30soAd9nSYrf07FviaTXfgQbkqst2dtTjHcXoMHfHVme7nwMSujjLcMB vDQyMwUl8Pp9JMGrqzNEnrq5Xjs9Wbi+XtvdnejoKFlbHTw7WyopMezurOVU Nv1Pez+2UqbSSIKjReFaiVonCokLjU5UgPfLCOTqkmVwzJQ0Kh6yT2kSpdok uTKaR1NGmfvbuswNph7IfPy5iQ0p29ubQ0NtACD199UBjIRAGrDfXB9dXe7f WJ+APWhuft7WhuiEt5YXe2HtUN78bM991q07nuRehDZ5fqZ7bsYEMFhBga6i PHVtZbC3t9po1HZ3V5RUJB0dzTa05IRquDGJMp1BxlUKHCigylBoG/gmPIbb aaoSRCdzwuOtj+6BCJxIzqt86yl2p8pe4/2hjFpu/B+d+U+cOP9yYP3v1wFh CXlfhWE+OXN6bqy0KhOR/o5PDmHl883YSMf0VN/Zx1PTzZ2j9eML+Mf25szh wdrSQt/e7jiY+ZC0850DI/9Ck+3JQheGJDxBC+RNR4rgR2/G+wAWjs/z5fPA HoAlPyHLV4rykUAUkffoyD/IAyNwikvXr28sLaysFNQZ4/PUrEj/hOwEcClG sCQ8Tgyu7EThchQClUYM5AilRgyu+aM3lCWQKpMMj/WdnWyfHm9dnB1cXxxb ILbkn22fv1RBpOCLyzMPQYAHn+wl9X3h78hTqxrNXa8IKFdILYB+T8XbUsDk QHiNZ0LMkM5I8CPvXmsEp11j36uVnkOkkdy3BP9X3lQwCb9E8594BiiTtda/ dlN884JUdnFtde9gP6083VCaMrkwsbG1l13SPDW3Crf9zuXFCsxqgiiLthFW k0+USPBPh5rk7Pq2rwKZlvnVpcGpUVIoFYi676gYD4E3VoLGSrzuXZJcuCgP AeRNBwQEX6mzX6CHt9gpOIG/tDQzOjOYW5NmffDKkPtWtTc/90O7cr3c+G4u XEhZhKCjL3g38dzgJKpuAUqSp8QbICV3gccirIT/VT+NW0v68f7I7FBnd40J catuK25rLdJkqk7gaeT6+urf6E4P/4KY+Rp7Gt/THOyZzlg5XqoNd2RiUcJP fbadORDPGIBP7nzUO9p7eWIQfK2vvfmfUB64JkJtbh4zoblkojDGPSDsiQvV LsDXke71EkOzwQcggMEmgPSehgMCEaw6xr8nUR0YXjbYADQXgw90DQjGiGNp 2mxldXMWWL8CdSwfsZNfkAea7Yems4nBPm98yDSRJDVLVlWbs7E20tZRtL37 KLvwI+rx6YubXBgTxzHTyxMrW6uY8hQ7fzxZ4eUcQPOVuftIXfgqbla29oU7 9+/v2O+9uJIQ4XNXgUglDwjCOrCd7UGlIBZ0SPR7E4B9RfB5Czlbfo6Lfto+ 0H3fknAkpYivkdlSUB5CSMT4QPdx5qDABsQQH5mvDQkVmBjy22r6qy1xarWc ganj+uoYwIzr663ycsPAQBv4YWys13Jz3Tcy6Mli2pO4ajjCC0j0mgQAFMUh sRKKXERXRqp14jg9AEgSUagwRo8EUkHOw7b+DPPIlPUjEQ/aH+yvbm1M7e0s gYPDg/Wzs/2drem15X4AV1aXB+bnumenu8zdFbW12TMz/RbLRxTQUBzcl8bJ 7s7i8oK5ri67v79xfXXoPovEymI/WNnBBVfgjwAdgVvU12Xn5sZNTXZMTbbD 9AtJBYUJpWXJZ6dL+wezRWWJMQniyHjpWz+wFvPUOplaB1VKmySJz0j5F4aa XVEHHuPqcdMFrBe2zCysTs0uc6IVP3ijnrny/vGO+gxFeY+VYKjhhdVtj/Oz +uSylpsHfuz3DslIWd9cb2kq6Gwr7uwom5rsmZkZnln898lXd7dndrZntzYm V5b6AIS23OyA++8fHrsx5RRF+MrGREd3w9KcKSYl6Z8oijtT+tSb+aMP85kP kyThSyKEsihOsIbNDSf4yj7KVIuTuBhyo8ClxudWqlpNVa1t/WMzY7NLzZ0N GcWFXvxQF7ooQivFsHnPcawPRA6ARjZ+7Dd+7Bc4lh2RD26EFQSR5CGckEhJ lDo+u2B5ffN+LUOiQP/tKv9+BZGCj8+OBTFKtJCSU5MToCKWtZaDn2ihge9p 7h5C1DuqF1EpcmL5PnNnQHlDXCHWOFs84R2R8BTxxIbJsV/7Um38AwBGeo5m PUNx3mBJ70h4CC+5cd4ROGDinZiHNH5/ETa5ry2384XFavl4wD8cdJbbsIXj +ZU1JJFKS1+3G5cam5uAeOZML00/+OvRzc362sb09fW6BXY3ml0YOTpauA9q g35dn4Ih0+bFxVq4LnNz++D2Ib6mbOxurG1v8jUROCnNHaAa9lsPvhMEV/ge jmyMO88LL3MVqKkZpXovkSMSrbC88YXhiTiqFTZUv6N6w7jol0i57yxrnkF6 hV9wQKA+CCXEcDX8i8vH+jduri8UVRoSMpWNjblmmHASca7u662vbCva3Nv8 qkb4eIX9aKmNyoyW6uT0CFZhQxVRKaOF8Z05zk5sl0+AH1Jf0GgOLKcGc6P1 v1VPttyJooUNRQDg8WK5TEX0Oz9igMLTie0BhCBHptcd3RMeIX16T/a3IWH/ 5YV/4YdDCzxVaoVMw2jvLpmcbN/ZGNtYHV6YM6fnR8cbgkWQH6ajJ9/TKYDq 7Mez9eKxpKKBgarNtaGpqa7PB8iDg68wUlg/Q1nXlpuUEp09/TlZ5cmJ4OJl GAyDjeF6EhRuXgJ0bFIQVRBMEQQ5+grZcgFFGEyW8z24rv7Brt5SdweGz1si gILYdxQ/gIs+wMlifhYdUXxt/GlviQF/QznF5yXNr4w4sTwd2RAFq+Ote78H TKXl7sxGgQNDqWF0dvR3Fgbv+97pyfHK6en5yV3wy8HBRlySLDBKBCEfeIvW QRBImySThHFSiqoq6/LCYrgJhkBhqFAWIYpPgrySYhPFLmRKqCEPCvr5WAQ7 OzvY3ppdXR6anzUtL/YuLUAJbZcXYD0PDGPmZ7s72ovz8uIKChK7umoHB9on xrqnpgZvfkaNBi4I/nV4sLmwMHV5eb62MgIue5+BdKC/bmaqE8m9BamMeqpz cmN7zFXguOouWV5ubmxhYcLOzvjJ8XxxcZIhTenF4eIFnNgklTxSFpsoiUmQ ROqCaYESZUzw0cchA49/L6OzkxkllT84M3ih8allxo3tve3dL6SP/7cLgpeu r877+1uB6IcE2La3Fra1FNQ3FMZl5FQ2tfaNjHylEslydbm2tjJ0uL+yOGc+ 3IcIqC8v94J0GaPjppqmivrOxtOjWdDUw6Nt2oy0uVlzmjEDYMtXviy8gMcO FvBVYlmEOFwrYITgbhm2Yds6EIW0ORHgfaWXVLHCtPwofYA83IsbiOEpPpBF 32NoAWIe6FFPvBjPfRg/eNKeeNG+R1P+iSL/CwPtv0M2DxLY/suD9HdXfweK iBysZoXF941NfcNW/eYF6TAbO9vmUSjDy/Hp8fHZCfiqrb/nLdnLQ4Cyo7ti pazY3Pin3pgXGAYU/OgseEfAu/LdX2CYT50gj6NnLvxXPhQ7BvalJw0gqJc+ jNc+FHumF/j4xInjygBt5W8o/mqe9r9ygfWfH03+sF7dItfFvsbTRLEhTeZO RyaRr1EGKOkv/B31RUlWWKSC0DIUB7E9Mz+2sTkNK462B0d7bTCi7j4TkACu oCTFBxX1jU0drVfXWxbLdoe5o7b1UWyfD8tDPfDe4UHPaH9kelhubZYmXYHi uX9gOjqz3dy5nnSVD0nhNTjZB+TxgGAMgEnZVSnwkvpgfru7ra9c8Jbk48r9 ctgXbMhzvXfPfkezy67OCdIHKw2qoCTF6tbq4x9+a2t5eqqvsi6zriGnuTn/ IQl2bKpcmSQubswbg3Mt/caVCLwNANsury6mFhfkCdGeEm+CkkgLZziynV25 qIf+VG58NEBH9Agmwhb+zVPIfduCANr1nQ1kgr2CrVHdo2aU0BOm33d2Y1LF GjGK52NL8X3/GWH46wBvbzErNj2BoVRQFfTsPLUxP76wOKG6OmNosKGhIbe8 HAqQz8iOZob6+geiCQpXnMzdxovxBsV76sz2ofNb2yFym/W18U+0Ckj5KheO s7OTvf3Nipqs9c1l8MX11dnS0uTc3Fj/WLcvTL3iI7UnBvmh2f5YuRNe5kFR emP4HgyxrLYmmywI9iCy8ktLow3hLnQ0mu2D4rm5cDCQfuzn9UX3cPED3deW RPzBk44TKbLKc6bm+sBgKmnKwQfhPzCdQCeHZQFXjBgL9xkXZ473U/ybQL3C +pt75uOaB3q5+4cnOFHI0joUuNQ/NhGtk2mTIGgUo5eFx0nhUC8ZOFbrhCyV anhiHHJASoSCv0gSyFdEnx6WV6iTR4oD5FFIDPvh4QYUsHZ6cH5+fHV1gWxb WytdXdUTY62fWMQWIK8h8+x01+hw00BfdUVlemScqqGhsKbOODjcdXT0qYM0 uNTFxa0t6fR0H7kagEPrK0PjYy19vTVwAvdeAJamJto72kvAfn11qMdcCWMw XUlJkrm7EhwMDTW0thSmZYQLQ0UuVGZqdlRuqTE8lq9OgJRIkVppeJwoKT2k f6hzYWl6cXkGdJ6z87MvNeOXmhUeNUcnx7UdbQ9/+oZeIrBaCQo+BLW4px/p 6oDCbM1dZeWV2flFqQ2NxZ/nZfu1crG9ObqzNbW5PrKyNABWk73d6YGx7s31 IfCaRia6z04WFuchs+Yq3PLry30sZegTsHBjWU+9mT9g2LZEAuyG5AE2isKb qvQOjeOGxnKVMbwYvSIyIZSq1JCDNf7SEF+BxIXKe46l2/hz7IgcWwL7A1mg NuhTc9PUyYmR+sQwfXJgbIIgMpahig6QhWGFKhQnyJkusyeLXuKYTzwp/+Hk 6yVQBuvSW3sRztW/9KT6MATj6vo6SB/HiOQ7sBxVhvC9w728uhIbkvczDOk7 O9ZLNMuF5+ZAxz1zFfyIovzgQnUhi+zovh/o+Oco5hss1ZbqFaBgunJJr7xp r70DJHGR61u7v8n77E8t17Cu+OLi6uLy8vLqpx67vr0DM+Pd1qqitf4HL7wL i/HKk/zM0x8fxAtNjXwdgHLlYvcOIU7sW7WD5ebq6pLA07SaBqzWk/2Dxacu 3BhDCcBF19cARWytb8yFajPPz9f2DzYvL9YOjw7+7Sd/CJPGZ4cGhjrOz06q W0rj0sLiskK9xY7+cg9iICqjJKGsKV+ZLGkwVWlg76OPLwI9dt/EIAC9Hxje TmzMPUsAIkEjQfGQ0YGGdeagYCseCsAJUgi5a7irZ6znPhvgI3yo4JCB06PB wZb2zvK6xtza+qxemJQbAkgQLXaZJJahyQpthyk1vlWXAu9XZQh1YDkb6wq8 pT6ObHcntqeHAFIOgM2R5eXGx6BFGHumQ0kTxAH7+8UrfZOCNEterZEVxV5Y u1UJzq7MuUFKMGeUEOXEdrej4nFiiisHdx+Lcb/ZkgL0OQkjQ4011ekVFakA HeUY4yor04z5WiOc5h6sVmUlyYkZITiZC1nh7S309BS6PXNluhNl77zEf39H L6nMN5vKysqSOzsrrq8uV7eWC+qywTPs7h9Nz0NQ+fLy7PTsywlZHmrn5hdG 07LDp6fawTYy2raxPjUBZcfQFuTHq1OD8XAYHWQjhg7cpGqaIJKED3QjBZLT MzQVFWkt7TU5RYXtXY2vPET/+Z7x3lvmzRLa01G25HuOdDyiN/u0BSh4m4AA G7KXHYX2ypejSkiEici2Ly+WwQidnO/2C/IHLQmlwINyPPkSVTR7ppsDg/DU 1z21tMD6RwmDCNRUJma6s+T86CSmQhGtE0F8O1CoGo8fKo9ICNVATM6yhBQ5 O4hZ3mJq7SwLUbMTUwLpcn6wJmhldfoarKPry94CVW4lpB3d3JgCKGVtZQje wMHgxtrI5vooFHoP63nA8ops915DszMmJAZtZsbcYaofGGhNz4qKjOWVVWci jsefPjcUXXUBrj8z1dnfV7+y1AeuAODQT0nbF3rNpgpwR4COwJVL4VTCeXna keFGJD1KTXVGTp42ShfoxeHKI3hNHfV5RboorQBgwtg7Dka1ThSpFUTHiyJi eVnGmMb2xpqmykeCnBuYT8x6aziwWL716oVcLbOs2liU1meu6GyHpD8wuSGE /z3dFd2dJVsbC9avm+LApHR9eb6xuty/vzsFGnNna3xteeDibAHye1/o3d4Y OTmehy2YoJ37Dw/nzk8WK6oLX/kyX+MhqkMHEpceSBNG+vkFuhOCMKAXwXpI WVp21OjkUO/wYF1bW2ZZrTa7KCQpSxCtpyjUb/y4/0RRnnjR/8OZEJOWsr89 srM5enwwMzPZOjJYPznaMj3WNjvRMT9lmhzrGh7qGBzqWlhZWVjdGpleNA2N Vbaa4nNLTIMQc/sj5aYvNea/97/HX99yn13r/kvwtFt720Cmbum9jW4mKsXc 6BCGLPEf7ykONF9H7ocnaB80XYkTBnmQQ7BSjjOHYEsI+NGNbkvy9hAQBLGK l/5eKUUFJ+eH1j9CpPrGBTzw2fmFICQFRQ4Vh6XR5YkoSiiOHSVRG6YXVuLT y/GScCSA/fTsvGOg15lFfYNnvfVhPXPl2gT4C2KDPfiEH33BmmusN3X0j0Ms xwicAkNvfGb56hJIUruLKytUSeLxCZSgzXKzabXu7O7tbW7NWK2I2hzhHv9N 5BgIPmkyVRNFzvVtZYf726XF+tLSlPRiHTuCEBjLqmrKj0yWhSVLE3MiUvNj LA8CWG6dqdbXndk+7gLIzATADwyK3MDq4M5Hw17NHo4sTxt/6hs/ih0V+zaA 9I7i58T2eUFwKm2F6HGur29uHjfDIPcdnOzlR5OCtMxwvTCvWFtVm4HkUzN1 lLW0FLSYa5fWF76hDscCA6SsyoKmnjZhrMBLQrCn4x3ZHu9pDi4cjB0NbUPC viQ4v6d/eEd1bO6FhMqvkiV/jwn2l29nhdSGe0WNxZlV2fgg/8KGIuSngclB f0XAB4aDh9D9Pc3bhngfrvWT+ugN0YemFFRWpqZl6QqLUwsLdGWlySXFeiC8 A7B0Tz1dXKSvqc/ylxC9BV7JaeF8lfA7e7YPXRydEIGhBHLkkSXFCUZjfH6e dn9no7qz3FPocH55NDa95EYMScgojNMr2joKJybNLR1V9430sBYlNZ1MeSJZ qHT15+rTk7bWhzdWgdhr7uoohgBSYQI/gkiAXcehTeaOFtir9ZL8gvjkzPCG plxjfhwASGDl3dkcjo7XqRPTvGjKnMLiitp0kpzgzmS8p+FsKb6v/ai2UO6Y T72y7emEDxQOmidEc6TmYdPk/OD1bRZphLD6qHuoxonlZs/AgEHhzMaBfuLA 9H5HhjIXh6fprX+Ukxqypqxv7dj4cf7uSqAHB+vTgsG6lmAILq7MpEg5qsTU sqq0sBhujF4O8AM3LHJ8ZiouSaZNlkkjhECoP7+4QBq+d3SyvAkKsDo5Ppyb HZqZGRgfN42MtA0PNZu7q8zdFYP9dcODDVOT7bOw7/TiPGRum58zQyCnt6a1 paC2Nru2JqOptXx8vKeyOlufFnJycmT9wvQFfdzZnl+YMy0vT4+Ntq2tDDQ3 5Y+PtSLqI8T3G1F0gA2MfSSZcntbMfgJgCUA1HPz4rON2rC4EJacbshNqWks DtVwA6MkYXGSaJ1EZ0DC/+XxyYE6Q2BdU5E+PVwZRS+vzfmqkfj76TTABFJc 11JZk38n+pW2t5U0NBT0mpC8SMUD/Q133kq/+gw3yGJhseydHM8d7s8DXLSx PrK+NoQ04CqMckHDLs73bqwNw0GCvVsboxbL5vb2xPhICz8sGlIi+TCI0sDq 2gxRqAwv9aEqPTU6sSZBDFoSvMq+vob56e61xf7l2a6V2a65idaJ4caRgdr0 vFRpVKQwPJKpDEs1ZkPav1Ww0h129bdh+TKyTMFWhoATZFERaTlJnW0Frc3G hfnh/d3V48PflI8JAS1/5Lz6+QNYoZynhbF5WuS4pbcbYCRwoEjUviS4RGVF yRNCvcSsvcMDPCeWrojyDeR4ilhuTBpGiH/hj5Lqgv2DBDKd2vobwOGfXnJL m584cf75gfEvB9b3Dqz/Y0OhK2L9eBH/86U/XhAmi8xUxed4UFWvcP42AdTn KO5TR/5TN6YHjxqgZL4OwOCDCGll2c5s0swS4qL8sB1ukC9uLOdwRNsFlJLP co+L7rwvvkUttrfXJ6cGlfE8YURAQ1NRSXFSXJJckxKkTglkK7HhiSJBOEEU QWSrsANj3Tc31z+57MBlbWuLEy21odgCqRmhgnTmuKOEPvQIrgtMr2RLJL/E sWwCiO+pWFsS4Y0/2Y7m+5aMc2ETN3d+Ggjbe4e/3J0RgDQ1N5xfkVxWnWIs 1dU35rS1Ft5b2dpaixoac3OLYkem+q3f2hfo+ua6wdxICJY4sLywct94YzpY 7/yChIzwoKzK4uTiNKVBe3j8UbDJLwxP+Kc/odsjr2xlc0WeGBSSEtpobuSo eUKteHpp1gq9gm1GhOyVPxbFD7Alf8G0ZEvBPcN7ahLDykr0SCpbiKOvWF8E pbxPeJibIzc3NjM7li0NpvAU6ZkxQRGyZy7MN2h2ZGxYZlYcODM7VxNtkCcX xhIVnt5ix0ZTXXPnsEKT9Xdb6lsMu6wqf3He1G2uPH9g+xifG82ryQCAenJ2 JSw+z8ZL7kMXxBukDU3ZCSnaEE1UVW2JIS22uChBnx7CDPXlhPv7SFxISq+I FHFOCXTTkiIogQiSg9XUVd7QkFtQqG9vLzdk546PNhuN2qmJ9uHRFjTf5wM5 wC6AAaVVouPsqDg7GrR/T8W/JWHdOGRHqkiVaPDiB23vzcBcoD9RWN+AY+v2 5JwZKw1wF3h4iSkfGG4YEektGZtUlAsgxx8ZsYvcS28s+7srMbuiLrdQG6Jm Tc2Ogi9V+ownnvS+kUFDRogaViKxgjimoamWthKVmglWvQ8kVn4NJP8+jLyb mOjr760GEGh2pguAn0nQXION4Jvenqqe7soec1VvT3Vfb83EWCscwtYLluD1 VWgtXpjrmZsxjY60zs319fRWx+plHd31J6fHiMn+4Ug5PtoG6Oj0ZPfwYAug ox5zZVdn2UOHbchne6kfplrqAPfqNpU3NeaBE8BUkAP5IOkyc7TGfJ0+RaXL iKlsqtMlS8gy8Ws8iyLlR8bLqHIhQEqRWkFwFEBNgdK4NDsiJyFTf3V9+Scu qQ8LkBnFal1FVXZvN6Q+gkFRKT8sIrco3Wwqr6zKKqmtedxT3kAB0VAK1+u9 3UUgRwD8s7s9AVpvc30EMVYi/l3Lt8jzdr+7PWa5XlfoEusbClva61/5sp56 0XBC5dnxbqgu4bWfH0bgodIGpWVGqDRClZobouHIYzRKXYoqThOVGKdLS0jL NeQXZ9TWGQFwnRpvWVsGYKxvcaF3Y3Xo5BjKqLWzP0uQhfyXB/mJF+MDWZRb YpwZbxsdbu7vqeloK21pKVxenrm6uoaS6z7OTfvu3X166tn5xR//ThHN4snZ CeJdDFfAQlSIS5vqTs+PnDguqWUQIwQ5RFrT1VzfOhiizZ1emitsqPGS0HNr s18T3Vw4OJUh6i0Jt7K5bv1vqEECVV5YAU9u8eGGAXT0wo3/zIX3ypPnxQkG kOkNFsrD+4939H+8pwDg9ArLfOl9G8r3lkBwZHnZUX3ekXBOJOYbIqa+q916 Nwtt7u5EpOvPzh8G0l5D6MgKOdlZEYXGN2oqyOF5e61vpBOgo+rKzIoGIy3I MzE9JDkjLDZJzg/144bgAWTihviKIkkMhXdSXvTa+mJtbe75+an17pUh+9Wt 1dSytDhjvD3LESVEO3M8Xwa8z67OaR/osGfau3Jxb0nEd2TYWkHD2RBItiQ/ ezr+hR9aqo3VZGXl11cX1te/Jfo1mU3WXxPNdrZWhvubek1VfUB07SpHPLQ7 20t6TBUVNWlRBok8jtk7CvkAf0NT1xVsC+gZHXmGd3HhuiHETTnVZVt7O4+E Yfc9/Orq8mFvn12c3NnfWt1Y/MOGAGiW4GRlfn1+RIbGU+JT1VGpNcYbiuKm F8Zubi42d7Yl6kQnBtOW4nMX13+rPgJLPFpA1Rv1inhVXsFHcOg+qSvyEQjy tbXZ1dVZpaUZeKbsqQsnLE6TX2LwoopYEkVZaQIAVKo4Lk7q6iV08JW5+wW6 xWdlvEEF/9d7jhdNEqoRFpYmHuxOLs6bV5ZH9/eW1tfnAFJaWl/ACOzTy3TT 80t4juYHB74PTSxUip392P9yZPzne+Y7b0lKelx5aWJ+vi4mSQblhJK5K3Sc melOMDPX1mQhTrz36dXABhHpGJNmZrqrKlOrqtLBmS3N+axwrCeT/IFAek/1 caDg7Jmejgw/FJdkQ8Lb031RXK5QHdvc3VzdVr93MGf5JCWQdfPocObyZDky PcKV78GNVrzw9xDFhWOlnLLmeusfS2mCrBnbe/u+Qkl0QnCcXlpdb7yGbf8n Z+fc8Hh+dPL4VL82OSgxTQUww/zy/OHRXmJaqCZBFJoQ68FRHJ1AfqdgjUIe 22xuLC9PbW0t6uwsBVhoaLAeIKWNtWGYIhI2ui0PPrSyAZgE0BTYluZ7ZmbM Cwt9PT1lxiJtrF6elBG+tb3++TPv7SweQWyiN6vLg9NTnQDELi9BkXGz010I RgIL+uR42/hYC3KLkaHGlcX+0ZFm8HLBGwQQF0DfyorULKN2d3+uojo5MTPh LYH31IserJaxVcHPvGmhGkFLR1VORY0tgfMPV4ITTbqzf2z9Ky1DBdW1DQ3G +wSRAz2VurTEZz7M6hpjWHxMciGkWX3E057A2coOQBfY3Z6GwOraEGi9h+xS 98bQ1aV+JIHL5upgXUvl5s5MXHY2T6VamTMLo7Q/eFKfepIb2ttXV2c+BHCe eNHQ3KDBgRZtZrY+r6CjpyuvqpEXmfhPNPU5lvUCzj72Bs9+gWMGa3VL8F0g wHzH0rC2OmgoyHOgCF7imPZkoUKXWtrQAMSV1u5uxF/uN5aFtc3q9p6imtqa 5gZCYPTW3p9spUJWtK6hPkOxERyUt1a8p9vvHe4NTk74SNmXV5fI6n9xdYmV cpvMncHJIU9xzpQwZm5N6fb+3p/78F9bkEcNTcq2IwpCk7N/cKffMs87856j mWCifo7mPEexnoGPbrzn7rw7SjEoxO81lmpHxT5zZ73xo7zCMJ6iiH5B/MHJ cevdtCnRRkWkJYIl7I+JhDIYNQSR08hkX1NLaaYxRq6hiyNJylgWpDKKJII9 tEUQhBHEnFJ9YWnywsJETo66G87H9HkMEXjR5FDqa5INQUmhhYkyKqF8fyKt xI7u5MDw+4k3huwHa5NwcKZ776dY1OsAnE2A//fe7jRV5GOEONA+c/MjTU15 97qjjvbi1pYCsK0sTx4c/+SX9W/3K8tdbgjLAzbFjPISvia4tb/F+vEyB9FL Wb4QtjwzM3x8fGB5wA0OhOW62ry52dHVzeWUfE1aYVxMWnB6kTYxJ+IuAejv OxCQ5xyZGXMXeJFCqM5sn6d4m85B8EL3T07mjqGMjceFtRXOdLEHh2dL8r3H SOBl2VJw7lxSblk6WCLr6vMK7hDRJxvAHoMDdWC5LK0sxtLF770Ef7NleQRI K6uy62rSSouTSoqTMrKjpWoqGc5OAlnBAt2wQqwbzd/Wl/AByxWpRLH6yNLK DHNP1cxUe3V1ek6OxtRZPToz6B+E9pHYx2Ykv/cJfIvDv8eT3ngI3nry3noK 6JKQCG2YIFiZkKwpL02SaxhYqQs3nICVOGeXxW2ujXR2lnzyqEVFiTk5Mebu KpOpPCtbU1mZVlZmyMuLk8QQXngS3uIJDlSfV15UB7YHhu9LDqK9IeLQQowd iVbT1gIn2dn5hH/DYtm4vlw53J1saC8PTlLg5ERRXBQ3OuTg6Mg8OrS0vmb9 w+c65HZFZYaoeElDS/kezDmP9N6Ts7NAber27l5+cWJqdlREHK++CSL9Hp/s ZcpIdR1mkSY5Jqvw/vyry7PlpbG52cG52aG5udHFhbGlpV4AVABcQdDLPU8R ZLKBco6YwTY3YwK/Ls51N7aUp2Rq4/SqsBjIAzwzNzq7QFtSkV7fUjI1M/wJ btzemgPreF9vA7j+4kLv8FADuM6973dnB+SShMAwiFh71gR5IhXoJifaAVoD 59TUZFZWptfWZrR2lKv0Of/h5IvmBA+MjX4gixypgpGJIeQuicbyf7gRGrqg 5I9/nSghsKArtAkdbcVdkPNAGWJl62ov/UDis1VhxqL03lEovOsRlpcb2O4A 5sOt89MF0Cwb68NQo30GkNaWB6Zne9tN9VtrgzsbI3XttW4sqTtLak/idXaU tnY2v8azASjyEwdbrk+0GenfYyivfZkTM9NI70orqeWE68jB6u/cA75Hk37A kOGMNkwHinBosndmafjgcO74cAbMCdBNl/pAr+gbbO3o79Qb8/7mTPhf9r7/ 4YT/h6v/f7oRHKmSjLLassb2JlOveXh0enFpe+/g8PgE8Vf5YrmNJtvempzs Az1zctxcUlUoDAsrLMmgyoNcGNKm9sY/19b2yTegq1PD6NGZkPmMFhaIyE2I r4tpeGBifm55Y8mN7+nAcgPSq/W/FUvkNVzfipYu0OxONMmP3rTnaIgkE8nG C1EZuHOfo9kQYbjHfcZe7i188mC98SW/cGc8Q3NeYJjP3JhOrAAXDlGmjcmv gJRIVe1NOBkPAZO/6wtFQMj23mZuqZ4WiEnMiWzqqpJFUWKT5ZwQ39A4jiiC yA/zRwCSMCKAHYKLTQ4sLUnOzlE3NBSWlqZsbHyUxshyG6lnnVmeDUpSZFfn gHe6s7+/sLaiyTa8JKA/0PweenG8JRHeUaBvPtDw9gw/8KsN0YcRrlKnFV5c /kpoBnLTlZXpyipDW2uRqbMMSFj95spwfRg3QnJ0COHt7f3thbUFsP/iFX41 wfonv17BXXd6YXx1Y+nuhJtfuA7y5fb2WkFBwvExJLxcX19NTEJWPwCZ9Ibg nt5mTWoQVY7ihuCNFSmyaOr49MAv1/pbFQTFXV5ds6KUthQPnpprrM4yDdUC wd0KZY7bWVgdTynKF0THvQ2gvw0gPvRSBi/rhT9GoA7KK03Lyo4pKIi/9zgC SCMf9tAuKkowGrWNDcbNtcHkrBw0icUPFjjiebLQyPCYCH44NTiWJY6mMEJw zFBfJCE4HqLb8vQTUwJk/r5Cfztv/ntv3hs05x/vKBRRkMlUlZsHRXAnZYXz 1BSczNUv0B0v8/aT+QQE+qDoVGciDYwsW08RWSB95sJ67srQGzT5BVpisCdV 6U1RenuKHJSJPCT5KZJ8FjztPUYqLtb3dFcgx0ZjfGFhfFJKLIZJFakC3/vS XvuQAEBy4biRVb78KKUd3c2V5+rG89na3Tk52zw/X7bAtBu3vGSQA9Lu8sqQ oUBLCKa3D/QwIgJjc9IzK4r/mJf75TcO98bxyYH4tLjzCyBbXD38HinDYz2G zAiwxSRKDw53AYzXGpSm3s617T0w0W3u7CGnXVyc7G7Pb23ObG5MLi8Ozs+a ESCEOAU9jF8D2AZhQwLfA3TU1GSsqc4oKIo3pIdqEuSaBIlSI+CphE3tla2d VbWNhfXNxRubP5Fan58driz1zs8BgFQLVnBTV+nKcj+SfAR8BKN+aLABXB/c CGJGWuofHW4CQLfHXIlY4oaHGhsacvPztd3d5YNjQ+8I3HdEfk17N7iyeWhk aGLSCg9qMH41GQV0Vaz1lpfpr1JOzy4aW6pNHcU95hoAkzrbSzrbS/vNFdFJ uh8wFIPR+BWmwFvfjL3rq5WNtaHlpf6lB6/pIUw6Ol4w5Od19zUBhHl5scIO U3/nQXrqRY9KjF2cMYnUCeDWT70oje2tO7sbrnTBS19mZlmNFRb6VjY2W3sG U4urE41lYYYcsSYZgKWXOObfXQmKeF1JTcnkdM/R4czm+ghyO4DH9rZGrder kIqvpbakoYodFsMNU7NC1P6SUDeG1JkudaRJHGlSgJccqWJ/WcTy+s/SpiFf Dk1M5RWmdHcUt7cWdrWX9HZXpOamfI+haZLje7pKR4bbz07/ZCWh5eHTTg+7 8txPzk66hwcJQcLP3byzqrJduK5dw6ZvaPb9A2oOKxYsc8trOZUNP3pB+dwB NHqF4d2m6AUAyYMDUUJB/OEP0RG0h+gxoWS+3BdezKeOvNdYynsa1kfK9uVG yCKydw/3nFjEsdnpC9A74bni9yvI6+gd7hRHkIJjmCwltrA8Baxc6kSJJIos iSIFaej3AAkcSKMownBCRlZkW1vF1dUVWPoPDnatn3W2Tz4mFeaCJdU/SOjA JCBExA8IZPAAIz2g2vN7RcDUm9qtj0HLd7FsK0uTveYaePaA7Gv0ENGPeAwl RNRobmJEMhG2pTpTPdy9fnowJPXYr5bF1bnGzspWc+3S2hwAkLNLk1I1bXkd ihxB3CMtlsuf67eIW0VjY1FWdnRzc8noWE9XR3VlRfrW5kqOMQ60s8GoAdCI G4o3GNWRSdL0fGiKBg95fn6KxD7/ruXs4qJryCyIFTqyfEKTwq2WdTgEYB0s 9AA1T84PUZWRaK78HcXX7rMY/zdEH3GMottc1dJS8BBmlJQkQ+qXUgChY8tK k/ILkoKj4jq6mooqykmCIEmIMN6gMGToRFE0WggW4CJCENo/CEoO7iNx8Ydo SN08uXg0y9+d4edEIr1w49lgAEwSv0GLKAIVAF35BfHccAJO6opHEmUGuvqL 6W4UOortA449BegnrrSX7hyhSl5Zk1lRnsqPIAYEYaL1EnBxrNSFEY4fHKlv rM/Ny4MC7h4aB8vLU8rLDAiLDgz2EppaynVJOlVk+Pf2nGcu3BcebBsfsj0Z 9xYfgBK5OzCdmFEs0IxzKzNnpwuwEmnPYt24OF+2WjeX1wd50fIXAfb+wfT5 lVXQ+Q+Pj5BYrV+F5b9rsfws9zI0PgBayCmML65IC9WwW9qh0Im+oY7s/Dhw MLu0glj8Dw52OjqqzObGxYWB5cWhqQnI+7q3p3pspHl+tvvhUjs+2mLuroS3 iv6+mpGhxurqjNy82MxsTUZ2FJhGMrOjUzMidSnh3X0toxP9c4tTAB1d/RTN erO6MryxPj402La00NPZUToz3XOwN93VWTY32w06Xl19NkBH4EazM6bBgXoA itrbi+tqsxDL0exM19Rke39fbVVl2s3NRlldOV0VvbGDDKub1eX+9raK5ubS hXkIJkliksFkbv3rRZFfX13s7Kzt72329zVMTfW3teR3d5Y1tVaq0/NzKqEQ 3cepj06hzbpzerJwa/Rc+AI0ghmrzNeXyxNzAw5k4fLa+OTcADEozJbAs/Hj 2BG5XR2lzR3Nr/24T7xoJKni9Hhnen622dwPoMvO/pfDqEGnMg2NJRVUmvta 9reGIXb0uZ5bH/uF3smJzu7expSCvOL6is6+1pFxU99A58Ls0Pzc8ML86OLC +Pz8+Ozc2OT08OrG+tbu/vHJ6a+22OXVjUKrr2/IN3eVd8B40l8cRJIpBnoq TR1loAF3d/5azjzm0R6E2ZiskpbCSiSYFfMG4VA9Pj2uN31kqflW5b7n/E59 Hnlg8Nai04wvsCwbPPMF+qMMdM88OD/+f+S9hXcbSfo2+hfde8/57g/22293 Z3dmkthxDDGTLJnFzEyWbRkly5ZtmZmZOWZmZmZm9q3uth3HSWYyM8lu9nfr 1FE6ktzqrqqueup9n/d5P0xlCD597cY2duG9dBIau3PhRL1cSxremoX1Eqow 1ODzi0uBLiCuIAuc2SdWFZnzbdXFEacPmJF0SSpRMAFAIACTlDqmKpwVEi0C CzcASJIQsigEwkjCYEKAnhcWKwMz29avCRbd3gvD3ixtrFH8ZRZUrCmBDGEh 5nO6L2RBQqwTdKha0r0n52dvf2OvHR7sdHWU9ndVlFSmecjwdhxXG7aTDdvW ke+MVLaGe/ywcQAlrbQc7yPTpuTOLq99Epkjb7b01AmDCHQfTEFVWnR6YKhB rI7kFdVmbm0sV9Vkl1VnnUBxhci2+kEI9wGDIcvQ8fFhQ0PB4sJEXm5UZmZY ZJwyIyeiqDDeJ4wRaBDJNFTQqgB2auJk6gjuxgZYW+/m5sbAMt3RUfPtmKL3 xreNDU858RXRRBYpHBx+t7s9/iSXDZhDdm5uNoMTkl7jqFaQTOJTgIQzo+D4 AeKiopj6uqy6uiyYfYRQegylpYkQU7e7OisnsaW10lcb+9JBFGBQePA4b1DS +KSwzBxtbl6UIdmfofbkBOEY/p5hyQq5nukhcxBrKVQ1BufjSPR3xPk4/+zI xFAVQRHBAeEhCSkRBQUGAJAAQKX7e0KR+1DFuIsxXgpHkq8z3gdNVmLDYwMS UkICwjWq0Mjk1CiOnyQlMzQxPYSkciWqoGxxFe/Sikriy8qSi0viH/nkEG27 OAHhUMEWpKiamsyuzrKmdxk6Q+zP9hyyUGniIvzRlmfpoRJoApxFzlYsW994 SMuofaijrr3w6HiuubcC4njsjJ8fL+TWJJP8ha9wzvQgxfzKMkElRtDF9yyN hYyK/uH2lGxdaVVGTJL68GgfTA6dve8uHoSdwXcuLs7b26tAX7S0FLW2FHa0 F4PuHuivGRyonRxveS95vdS/AFuNxseawZDIytZnP1SATkELZ2aFJ6YEpaSH xiX7q7UstZatj1elQ3yhHSRqHnKuLfUtLU1OT7UPD9U1NZUdH23091YNDtYP DzWAbgInRyLTu7oqwMq+MNcNoNrMVPvEWDPi3QPwCaAycKmzcz0zi8NQDt+7 49ubvcvL9YGB2umZ7pHhhouLnWfk8O+zQHkBbgBinNndWbv6bcJHx3e3a7c3 awDGb66PIATsj+ujMsPq8uDd3b4sPEqbnLJ3MA+gkRmem1FSqo6KKq/MnBpr k+rifnanG3sxGzs7kB/ILKtdXIMoQ8i6fnV9ff0gbYO06+zSOoDFx4czS0+B 2dJAWUNlekmBVBfJDwnnB+uEoeHBcXGLc/1rS8NL8wMLs/2gzs/2z0z1np1+ kQIn0o81zY21tdldMDG1sbGQFxBUW5fX01nW1lLU212zs736fXZ3//hI60Dv L3wBbt4/uixAtMPTM8Q+8K1b4Qp2JxXXtxpj6fZ0/gsH/vvUKi58UD/I2Au/ aYzhvAQHGB44fukgfO3KtqASzDy5Lx35eKkqriCboBKBc9Z21tly7ddh7uK3 piGB5q5sLGD7eSJ0I2UYQxxCBGs3wEvgVa6lAYAEkbSDcAA11dfl1dbmjIxA ZmoYA3w+Pgt+BWDYW8kzJXlb0iiIN+1z1ZpJeEOCJNlPz85+AwXnFtkTX7e2 VcRnhrtK3ZyEzigRykWEdhFjXKXu7nJPSgCNG8YfnRm5e9AmUsVE/eDmgOHL Vjd3Ph5wSIMPjXez/NwRFpYMNEIwMdggYvm651Uk19fk+utYPlrmyHDt9u7u x/K5yAnBPLa5sz41N9rWW19WnpqcoRUEE0Ab+kdwxKFkRRgdsc6p9TwAw8IT fO4glfX9zFx9Vlb43t723bff5gDQqMuMkkeKllf6ry43ri5XEC4N5Ce63Vrd mHBmy4y8uOYkxgc9xcC9pWE5fsrcvNj8AsMjrnhEF3n5hs6OktmZrpiUTDuc 4h+2HDTfxU2EDtUHJKSGAqBCVKGh6HuVCwBFJF9M72D19HS7PlmVnqnjBRNp /h44mRdBjnUis1+jhEZO7J/smGSBT2EBdP7QGCk3GA9lwpU7ecodOMFYqZZG 9nUjqdxkWnaITutClv9gzQMPlNg/KA/6k2i62tNb6UTydQWgSxBMycmNys6J LCqKA/WRg4QAvKespOzsSEiZOS86p7iyoX3wZwfej/YcHE8vjwx2EDi4iDDJ pVCqnZKmMv+EAG1GGF5Fae2p0qXpSuvSVTHy9qGe0JR4ZrBqeWMdqxSeIBEN 37Q7v0Y5vzhr764Dy3FDc8nY5HuH79NYjO3ttcHBtqKipJKSlPLyDIB/KitS KsqTa2oyWloKAbAEYGlupnN9ZWhjbRiJGZ+ebBsbbQTv93RVtLUVN77LrahM ScnURCWowgzS+NSg1OywrDzdzs7S4y/u7y2dnR4MDjaPDNaWl6eurk5vrI0N DzXNznQUF8f1wtLZK0sDw4N1U5Ntm2sQqWZjdWh05N0DSakfAgNL/dXV6XUN eVubY7c3q/DA3jjYnzw6nIUFePfXVoeKi5PWVsdgU/A/v71/vfzBSeD25vgG ls4D6Gh1uf+T6Ghl6d4ZurYKNenl+dL69rQDQ3x6sphaUvCftrig2OTN1dHm pvzerrL6lndmBOGPrrSi+lYEDv3Cj9/dXt7c7Fxebm1tzRweTG9tjK6vDj5A sv6ToznYH70FtmMXFysLq6P5NdXx+VVFdW3tA+NTCytrW7vHp+/B+a82BPKV scnBlqZ8gI4QgFRTm9fdUdrehoQBFvf31v12ac1vWJ5ZdKEUG9AO4RQ0Lfhv an5dSExeXUt/S/foH/whpPkur65F2liyjyY6CxLrG59eCjHkgTe/+m4cOd/+ 4ZET24emDnrtynvp+ACEUAAIfYiOnlWXe0+ckTPf2JX7wl742o1p4sr7ix02 vij58PjQSYhKr8i4+2ZLJLKT7ehvXFyBwrrVUQKwRgMUBAfyk8HBU+oRcgCQ kjQECv+/urxApEt++RfOzk/KmvOHp8eSSnJf4dE2LMKHhiP8WyoRomojhG14 2TUlEruGIe3r32H042l8zWgoB56rs+B9BhCMxM1LieOFCTXpYbsHiAzp7ezy gkCrNSFi3STMzmFYB+DJEEV+GdxgfmEcjBXv3YviEKhNBEF4fZwyMS1YrqXn 5UdNz4yLAhI7+8Yvry6a+xomZofiC/XHp1DjLG8sahN9fCM4ijAGy88jOV/v H8lHMCc4ycM5oeYFDQsxvqKFfQMt2kSlWsce6G9ZX19EzHTfYgAg55xcmJtf Xbm4vApMighJCTw+XYbisB6MSLc3G1dXay3dTW9JAlMCDZGVhuUikVB33I9e 7kw/ZVlpwqNbCq73MCMjQ1dWmjgx1phfXGbmKvWSuOF9UXilJ1bhhoUSE7hS /NwBOqKpPaubMsG6BtY4ROhPFErxkDlRVN5xieFJKRHaaJ+kjMjYlOiMzKiy 4gRtrBzvA6U2ACBKEcliBHkHG8TZOXpmgLen3MlbSOb7BASHa96gRfY4sdhf pA5TxiRqIUClRAdG8135nrJAn5TMkOzcyNKSxGfQ7llFjEupqZqFhYmt3SNz dymUdNtJbEvDo8TOhQ1FyEY+uzpHk64FGMmB5+YqwXrI6fY8R4DMwUfNfd2a 1LiDoyOeNuDsArEg/TuVp6Do2ZtgSwKgyNBgbUdH+cjwO4RltDDfjYSqLcxB rKTR4Xf9fdWD/bX9fTUDsD7S2GjT/EzXzvb44cHM7vb49uZYSXmCJlIYkajX JGVoktJzq951DI6dnr/XQNjd3SwvS+ntbdrbmV1dmVhZGmxqzK+uzu5oL4Ui 2qZa9Qn6qtqCnu6K4aH6vt7qyfGWleWB9ZWBpbmOnY0RAMyqKpLBaGxqKjg/ WwT4/yF55dbN9drt7fb62mBtbSacm+A7WjQ/V36j+QD65uHByupy3/7eFAAn TxUSnqT9hcDk8mLv9uboMhTgNjwx0bF/uGDIyohOT61taXjlwTDBsvuG+ob6 63q6a06O9xX6pD/ZY+PzoIxjj1YN5Cevri5mpwcW5gAwnrw4X72+goxXd3cb p0dzywt9K8v9jyBtCU5GA8Gz5QEA3ubmehvbagorC8KTEzRJSfYM8f9xJPwD Q3mD465sfGk+a8SGv7O9hqgiwLT2Ulha816EvKWpYGy067sCSI/l8uoKNGZR dbsiFOy8dm9ujkDLCvzjASJNyCpD04J7hqbrWgZ2dg8vL68uL39zaDYSfTC/ su5rSDHFcz1E6ovLy9zy5v/7Z1xp7a+Hjf/WgvTX2tZOWkmNKir5RwztNeae ZQRl7P0cNHL+4L9GGB7yjhEK4CuRBcmbEkgShIu8lN4nsIbwtwNI1zfXwTFi Xz2nuDodsRdJQshP6yNGQlZzVQRbGc4MjRJurH9AzP5M45yDjUPPaIMlA+ss oEEQiIl9mq4CygFKpMPLLtaGSbJmwe8QuIurm4i76gtvBEykYLCAXYzSEGDD tkOJPkhx4i73DEwOTipJTilLfQz254YGv8JjbFlEc6qXGcWzqKHmDhk8t+AL R7c3e3d3p3u7m21tJdp4KYAujxARqSod00fHDNDzQmNETF+eOlbe3F4o03OY /p5Mfw//OAl4+nb2t6gBnlkVSQ2dlQAOgcYE+PM95gz54IRCGDVlZOl8w5hs f6/oBN+mxpKSkqQ1WN36WwwApHkX11fRIibeR+TIpXgreEsrA2Af9+hlg1Mk 7/aMNCM4FnGxmRGYFmSKGRnvIsQSFAz/KP+a2owiSArpHlTk5ETmwUYksOjU 1Wbl5kWl5Ue6MJnuEmd3mYsN14ERQI1NCeSH4LwUDtxQQlVTxs7m+PTUPToq LIwtr06VakRsHxGBq3Qmyqy9xDwfTVFxSkJqkCCE7KVwAliIF0wE+KqhNXd5 qa+oPD4vN6qgOCYtPyouUdvSmBmgi3Knc7kKIVmoMkaJ9IZwtprKDCBExoVa YKlOAjRWRiktS4Idds/D7p79F1xPRkbY1ERncm79n83p/21KZcgM7YMd4/MT cEogaEQlFCfqcyLViYGsUKG7HE8LlPjG+9lyUAdHh6tbG3uHEDfj4sPco995 +dXIBfC4gbq6udI32LI03w3w7cbaQ3Q/TMlGCC1TE63NzQWIQ+2xAtjZ1Jg3 0F8D8MzCQldSRojOIAuNkvqE8hkKrjWZaUFgYyUBWFmwPuNeufTs7ASstlub M6sr4/291ZWVmbW1uUODUKRVWnacK1uUnK4vKoLiELs6yzbXRzdX+wrLspTa 4Mq6osi0VIZCkVuYtDjffXW1+j7S8Ob+4Ppq9fR0/vR0/fr63wu9fkmB7ujs dA/cOyy8MIBY1UB9ipQW5rqQ/gIoZWdrbGqqa2G+N60wp32gJyk75WB71jcy 5r/tsNqU3J2thbaW4pubq+GpuZ/d6TY0CcLbfzpgrq4uoQjHmc7F+a7lhZ7l xZ5lyDw1CEtADK4sf6Cvfp9BBho/wyvLg1MzPf1DrecnYN677B0dTS2picsr i8woPD49u/v8sHyE8Y9fuLw472iv7ID1xhHxKOgVPujrrujtLF5eGv+FE/4L y+3tzvrmRllt/d7+HGRDPTg0c5XnlJRNzIx4cUKVmoSwuHQPZqgzWd0/8iis 9CWnfX/c0Nn3gwv5DZ6L4fu68f0tsfIfrFlc37izs4uvnhAY2eZMzi8Ze7NN vHlGzrBRCHaffdp85Ax52d6jIxRE5Ea+CWWsc+U6CTCOfDcjnFN1OxQXsH/0 NVMfPisAV2gSFNJQCsvPHcYAECJC1nGEbqSO4ApgsxL4DoSRgghR6UExyf6l pUlnZwhZ7rOtCRPADuILk4yJbm9pRDMSzZxENYfUs98HQ72lUM3IJAsK3sxD aIZlGmE9PUR+2/dSFTv3ok/35RM/hKzyA1ODHA1PGCHBqQgOfCeU6IO8by5i DFlNVRh8gpKDg5LD/OL00gitLYv+EI1FgFK0M3AAKsDXfHkH/S4SiwQFbheU xTwa1p7gGYJcQ5NpKKBxqH4YdpA3LxDnKbUXBBPxKhd1BK+ppUyT6u8ieKuK EUn0LH+DEOAfpA3fA05YclMGv8kPwofHyaMSVQBKgTdTM7WZGWHd3fVfs7Of NiX8DOwe7C+try6sLlMDFK/w1i5Ct8HhJmi7B/vXbm7WLyF322F7fxOcaIMA 5xYhmWB5EF2Tyn3lRfUND2ltzodSjVRnIKKLRUVxDQ25JcWxhQWG8vLkhbnu qfF2D5G3LcfVnutuw8DbsT28la44vgjNJntLMYZMNdj4Qx6Q2sxHWFICcYGi SooT8/ITXamK/3jDsfaUhEdH8vwl/BCCLk7BCsTifSDfXH1r3sbqcD3MuAZ/ VVaaWFAQXVOT1dJWzZKrkzLzEvP0LmxPssobA/lb0RgJlA7GBE+g+PjVVKcX FqfC0WoxiHYTOGhoyIFuJBe5kZyysiQA/NIBQJrqbe+b+LsNO0Cfs7DyXp4F efyj82LiixIADs+uzqYHc2o6Wq+ur8pb6k/Oviir179vSS+ts6KIlVpNVU1W TV1ub0/V4EDtyHDj1EQbInA9NtoIehZJOoNQj5BB0tyU395R2tFRWlqZqIkU 6+OUoEYn+MQk+kTG+4RGStLzk7pHJqYW3m/ELs4PFxbGqyrTqqszy8vTuzpL NtZGuerA115MC5IgNctQVBhbUpba09cwNFCTX5xuTeL8HUN35Sls6ZKfPZgF FUXJBbnnFyvP1BgeFatOTpavr8/gNBz/A8v62vju9vj11cb56cLezgQ4hrOw IRnuIBGGmamO6ekOgI6uLldm5/rGprpLqgsU+tTD/bXB/rrh8ZGfXCl+hrTr 6+uerqqJccjaINTE/B1Dvc+P9hHt/+x0/2B/ZX9vaXdnfntrEvasQcpLK4sf +Pggv97qIASQ1ofXVocWFvp39mYurzbOTleeZFv+bPkY4YBH7+T0+PLyfGCg qb21qKsD0kbo7ijtai/p6Szr7y7PL0oPNUQsLs9/8s//dQVCd4dHpzCjFQr3 WF2fujhfAXsRtT73lSNvbnHEkJa7vjF1erJUUlOjT8rcP1j8QilE5DbBdBQU n8kPifGWBJviBMZuPCM07yd77gsH/muU6IUjXx2Zc/e1TdxIQEpEeoEFiWuC ASAHwj8mntxP245g7PQK9QiW+E/B0ktnoRUdj5KgjFypzjQ5OHlUTrohN/3u W5LM9w52tnc3ozOC2H4eqgh2YLRQref5hrPASg3W9OT0UCSKzS+cDf7LC8CG xstHRjrfvStEgtc+35y3N9eHAOTE5Se8JrrbsAhgbQXVnEwzIzAtadBqa0GF qjMX3DXxjTfJzFVmT+cJNPqbm1NIEh9CKVt3T3KY3tx+IvYHSn53eaGM8X2J N7HjOqHFbkjSt8fqJETZ8xxt2LYWdPvXRMxroqsJyc2S8ZhjC7wSzCg4hloz Oj0Pn/ISSRUBwCkYU4XlcUxfD4nmA2zzCJMCI/lSDRUs1lgfFMXPDadE0f3c AUACK7i33Ins54riW+TWpDW2V2aXJvADcc/OoNIxH6FXSLQIQCPIf5egLCyI LSyM29hYnp4e/hamYKQZR2enXcWs+MLs49OTksYaoh+ju6/q+HD2Frr3Hej2 bzeW14f3DuazqzLeEAjmBJ4pgWNOopuT6cn50br4iMAoXXtbcV1dVklJPCJJ nZ0d2dtTWVyWHx2ny86KqGvIqmjIs6JQ4HbGm5Mp5iQaGOSWDFcPESE+WZuW EQYrHkOxaU8pTKWlie3tpX7aKDcql8gT0yViQ2JAbp4BtIwuXkHwcQHNy9MQ x8YbwfYTMT1Beo95UQDPzEy3rSwP9fW35BQWoekirBxN8nd2l6Hsua7QT1Np L7wIflEasI6nZcWUlcSlZ0fV1edmZuvfvctvqM/Jz48uKU2oqEobGaxvbszP zomobshDxnlbzz0H4DEMDYHogclBSSXJfgn+6RUZkbnRz5r6fnv71XvxX1EQ Twp4UnSp+SlFVdkV9VhZyH87kKzIPJaPsre3dna6Y2y0ZWq8FSFIr8DOlKnJ toH+2t7uSoCLIDXObH1xeUJVfXplbWpcSkB4jDwiVhEOagx4VYboxUXlqVdX 95ujayRzNxJs29tYW5vb09MAHo3L892cqjqCUoPm+zN9VLW1GQSZrwNDSpQq yVL5K0/2a0h4UOTClRt7sW1pYjRXnlpccHu7D6WA+QgggTF/fr58c70ByU3/ Tyynp2CrvQlDjlO4nt3enm2uT25vTh7sr64u9w8Pt7Z0Nk/OD8GhGetr6xO7 O1Nkn8DRmaWp8Y615XFVVCJWGgTG8s726uhoOzhnx+Aohu97do5E8j4d4NAg AT+3BjHQRjfXxyGb3vrI2urwBkSCGngmhA7Twgc214cPdqdgVtgW6IjLi4Nr pDz0/ucK+K3NHSj8cHl1fmt7vb6tPLM4Fvx3sP9dU2NuU2NBd0dJWm5qYlZa fkmGIDC4vLG1c2ji4up7Q8JHV1f7WG54ZlEF1ALQ/hTyTgKktLG1HZmcu7Q8 XlZX29LVdn6+CoOoXVi0/9e3YMgUdHJ6vrS2oUnK8RQrwQ7RFE83dRe8RouM IM4AqEKAlN56yCemoSihryh0ce9l295AMWQ/2vJM0CIzHBcKXoPIRcLn6AjN e4hr4yMA6emnJu5sJ6HLWwLlr5ZsliK2a3gQJaCtbX9W8+ErlqbWcn89VxCE i01WFxfFZ2TrlGEMAIf08UpDkh/Lz12hpQdE8sE6DnBUQ0fFF7XMDRjq20GJ OhMSAEj4e/8aE2tBobylki3p3k48sNQSvGTKgESDBdX7jStfHJi4sT330PXr kDD+7fX5+dnl5cXFxb2i+HM6BPzaM9bDChEQ/EhuMven6AipKJGLIx9cA6Qh AK4EVNhb9N7ZZ8MkGGFxb0nClr6hy8stmDF4urN/cn6xOzJeH5Ygl4VSH81o T6tSSxcHkyCVZoCRlM4kP7eolACAlLwUTiRfjJvENiIzqH+8mwugVIxYGEyU a+kAViH+SoA8QasiZCTEoCQKIcpCKVk5EQX5MUWFcTU1OTk5+v39b0LVRk63 srmhNOjcpZz6rrb8+rKKd4U3Z8ug5VfWBsdn2zMr4/G+BIyYiBHT7Llu5hSU NdMdJXJ34AE0SMwvi+tqL6qrycjI0OVDYtqxAFrU1WY21KeFR0d48Mn8UCxN 7W7P8XiEo7BWAN4ETzPyJjnxCfoEv7RMXV5hTHVVellZ4vuI+/zo0ZHGjbUR fUISjisT+qrJQqlQ5ZOaqeEE4bwVziRfV0+Zo3+sYHmhD8JjxfFPSVDv3uX2 dpfHJMXhecGvnIR/taI7Mb085M42TG8zIgNJkuLIpfpGh5RVpIREBYi1PpVV 6WkF8V091YXQNcQRFVJOoKSuJrOlqaDxXc7S/Ojp+SkShwsJt340e1S31wxN Dy+uL+4d7e0d7iEsiO9HbPCrl5HpORMs5+9oyv92JLjypLLQYI1BB2BqW1sJ IgA4N9M5M93e2QGlROzoKAV9NDhQNzr8bniwHrRweXny8nL/0fH8+vpQeo4u LFqqj1NGxSuiE5SGRJ/IOFljc+GnfhYKtgX1IfXY3c7+4dDkrA1N6iGQSzRh LzzYP7sxjL04Rt6cNzhIwNmGKjLD88CBKZ73A5qanJ8Ne5A3Pm1Egurml6w4 /2PK+dnR2srA7c3l5sbUyck2GNinYJBDvvVNeGk+Dk9LUUWn3Vyf9fdUT0xP vnRnNHT23cG5HpBoXapvWEnDpyVZbsEW+fr08mLt/HTl9GT58GB+b3cSoes/ 9a/dywss9c/P9czMdA1NdJ+cgpl//yGX1qcLQqAFg6G+uSSrMEYTK61rKYlJ Vidn6QDeDooR30FZ/FbGx7oWlhc31ubWNrd2D487B0e7R6a+VWv+oQIaC9zv cXJurZmr+PJyDR6iYOlHook3YfFeAHCmYtPzLi/XryBa1zoEJm9/xcGETFU3 t1ckVYglRegu9rchS16jucYuXGM0JNX4CEJeu4j/y5Tsq09/zL/8dW4MXrmO To5sSdJ/WPM8hAILAvWlAySa/aMdFJj2Xv4IImPzHm1HH6AjxN3mzH/tyn7l LPjJjuspUDgLKZUtjXffUjzzFtZSXt9YysmOKCiOl2qpqjAmWGsARgJIiReI A5Cgpb2qrDYLIIH4nLBAg5Chci2pgyQIfpkjdHMDVpPD4ekOOw7JjOIJIRMm wZqJRyLEQTXCYwx5SWWNLX+yJqIZfi/R1H/YMf9uzfYLT2rr6YGkiW+2bm93 d3eXa6qyYtOCgmMkBVVpa5vPuU/I8fHpWXJJgSomzE1KceS7fgSQnC3IVDMC A/HxWVDIb0GFBCrvnX2WDG8bNs6UiPMQ+5ycrY5ODnpzdVEp+efnEFG5ojIl Iz9cGUZ/wtYmPT2m+rkRVGiMyDqzPD48LcBdYktQueKUGC+5Q0pxjDySS1G5 eskc4vIjQuPlCg0N4CJQ/WH3pV84G8Fd0lBIS0GhpaVlavPyooOiBOCguan0 IQHZt0DI9+fsHB7ghPqhRG68MH5GRXpAYoAL5KZEW7FgkQSB81s62pZF1GVG uck8TKk2jnw38KaTEN0/1LG8OF7fVJyZqQM1LSM8PSNS6BfmGxzEkilfu1Ld 2UwrKhU2H8ECDjSCBRUHYL8uMTYjL660JL60NBHAm6e52xBqdFtL0cRYS1dP Y3dvW1pRrCWOyRAFxqcFuUsdsEoUJPkos8sqj25rKwbwrLAw9jEYDTFAZWdH VldlVtdVoKl+WkM6jq+y46DhgQdBNUsa0YLmbUoiYOUcI5x7UEJYXkUmxV8s 0KqICg7bT/EC6+kuAXhYzVWrO1oLGturApODeVrJ8sYn0mH8/6QgD9rhycnk /NLy+tbq5k5xfYstXSbRaCurs0rKkvPyoopLEmanwZDo6++rLitLQghpWdkR mZnh4BWKbcyLrq5O29gYBovb8GidNloSGe8TEasIMyh8NFJRoITrJ+b4inn+ 0sSCipyqxrzqxqL6lvyaRvCjH14MLAN/d8cPMfwfJ4IzW2lJFgE4hJP6G3ux H0HRaywHADko1QWBB7ATWRkwOdefU5xxebH4XPYcyaB3B5bm3X9N+/6LysHe 0tXF+g3AMu8t1Yc318dHR5uXl6fyiIQX7vSNnYPF+eHFuYHQxGxPsf+D7RR6 nVlaBfXu13dwF3s7U+sAHa0MfhxAB6fHhcRFW9ur+oaHYXmAX7lsZPVp661X htLCoiURcUpdtDQkUhRmkCk1tLyK5KqmwrGZoU/+Law/850ZdG+Pbm/2IZWq 000non9Xf8fd3e719UOwzC2U/xpBRKOT/QeHCwAvFVRUVTc2P6S1/8xZ4Y8O To4kYXpbssjEk/vSlfUKzX3lKAQVCii7ZwEJjTBsG5KQ5a/Lraz76jeHtLYh rYIm15HVrJ8c2MYo0T9sOe7MEAt32QsH3r38kTvXxIuH4CJjzKcp3C8dhTCW E73wdJVHa+8+zA75DQp05ecXZ83Npbm5kXkFMSmZmsLCOMRbERwl5Km9hyeh LUPNuwJ1lCA5Xx9gEK1vvde5/Vy5vt4CPZNZmWnHJuCUvDckDxOSO7QqkT0E YSpuqI+XnMkMZh+fHCm0aUpNhjgwGUMLtPZS/ocJ5QdrbnvPOHz+/ePjmeSs EHEwSRCEp/tgwNZgfnkaTpL7npW3f7Rf1VbHClEwg32cBd5OAtRTdATwkg2y LNIJMJcG/3jw4GXDOnCpVkTQNRyeOkoVlvbWQ/Z//YzXxmaAuWJsrLmnq6J/ qIalckciznzCGU8xkjiETPP3gCSa4wRlDZnuUnuiL9qR64USuJP90B4ye7IK w1B7u0nsotKDwBKfnB4KQFGIQSSEHZe6WDnCaEJo2+A2A6MF4fEKjtorMT2k pbn0m2rLw8kfb/PqKqR6TXCy3lmIesuwsaC72HEx4BglBFATjRKhPBVkc4pX Wnnx6ta6Jj3Mku5pQXN1EqCDU0Ou4MubmxteWhxdW1/MKqyC8jXb898SyFYU nDWZ/JbEMiUwkNYGCNmE5MnXqPoH6krL0gvgdLGP9YPwMYBz8uIZMo2luxLF wuN9nDgBRKzMm+LrHZsSxPAneEvdtLGKnLwoAF/Ly5OfKlUWwFIAhUXJhWUl vX2Nw/21ijCOJc31MQoP0r2Egbo51cuSgXPgkuw5JDBETcle5hSsOc0bfAQG 0ksvckC0prgi0Z7nBNrBnOIxuTC/uLaK0AKfyhndfli+XX/9wfJHrg2xm/WO TqK5Pk4smRNLbk0RmxH4b0lCC7IIK1ZWVKWDTmxtKZqZ7gAwaWaqfW62Ewnt Hxqsq6hIzcqOys+PaW4uGOivGRtrrapNC40UhyPOtViFJloREikPjJCrNDKB WuItFBGkSn5IlE9UCico8l3XB6GmyA63sqXrP228M8pq4/PKfnAhJ+YX4eVB rzxZABqZ4rnG3hxLsuAtSQAAkpEX20ukcmBK7ZmSqNiQhfmu29ttOBjhfg26 vt4HW6HL88WLi5Ov0dL/XuX04/0XYiUdnJj5ixMxLAVyMQ/01Y5NjoAeb+kd vPttrA8w7nYO9sbXESb/2tDahzAJACQ48rFzYqL14gxRm/wiZo0hI9gvjBWd 4AswdkSsMjxGrjVIAvT8+NSgoEjB5s7a/v7O0+fye4RG9+UCgeg3N2tTM0NH Rwt3t58xct7tIK9jk0MdfZDA6eeJ61AfXV1d89Rx/68J+SdbGBE5CT9GHRBx 2pn/2kVg5aWw8lTqEguXN7aQ5vqad3gBBXYERmf81ZL5sz3XieQfYsi7l0WC 5Y/e4LmvvbiQwrYbpLlthOa+duPCEI4P5yXhmXhC5iOIs+3Ms6IT5lfvN00n ZydfMdfqJwtoidXV+Zbmspxs/fTUEMBLYOtXXpYaEimogVMynZ2dhBjEKQWR cVmap0nVP3/GIyRO/PRs8fB4rra9nBuqJPjyjfAYTqhyYKIN68Mj+7mXNec9 /sX19eXJyakhrSw6JadvuO/ycmdxZSC3KApxQkk1FAAhAg3C9r6GJ5cN9WBS SZYdx9FN5u4h90RLoJX9ie0IZcf2BAv0W4j19KGC92MF8IlCNkaD9qcboTh/ tWICcJte0DAyOXZ6ugTV47lggzA+K0it5+pTfDTxUjh1LwSWYKI1mRNIcJM6 yCK5zCA8SuSIFrnacTy85ZDOM84H7a3AOHA9XSXojIKoksI4AEQLiuJkGipA fTHJalEwwUfHVMAiS/euNz1HHEryj+Tl5keXFCdeXn3D6Cdk4phfXSb7y+zY JC8F20XkBhrNWQCa0cWB52rD8nLgubtKPdXxenqAQhweMjw9tbS+pklLtGHh dRlR55cX+wfHOaWt+uTyqbm1zMJaLEcKHkMzL5o1BW9N90bCFR9k0vHGBC9F eFBlRXJ+YQKA4k/jxe55RJD9R5+TG11VnZtTWPi/zVkvUVSiCuMhc7bnOZD8 vIUBEhNPokAtysqJSMsMLyiMQfKbPLEgRdbVZU1OtA0P1pSXJ+UXxPb2VSm0 GjMynHL3SRwlEpcHEDKoNpASJh4xb4JqQcFZkLhhKVqqPxlAbgAI/eOjzi/O vZWCrpHB84t/QVrwP1Ier/YRwUHz581vg3P3o2V56V1bQ2NHU1J+oTommaQM MvZmvfJkx2WlrC72zs12A1wE0NH0VNvKYj8S1LazOd7SXJyYokvP0ienhaSk BaemhSSlqA2JSkMC5FwLi5aERYt1Bkl4jFQfK4tOUMSn+MYkqsIS42YWlz55 JeB1a2evtW94aW3TkixKys8NScj4O5oKABJARCZYjhmBV1Ff6iX2/dGVgeYq 2OpQAJOMvFjZRakw0WUH4brACxOEeC8vTtbWpr7xhvSbl/ect0/pM/zWU4FX XnC0E0txeXWzvja3szVnyCkl+Wienv/LfuL28GB9eWlgZakPiWL72I60tjqy vTm5s73whRe2tbMOFgV1BDcyzgcGSAp9nBIApPBYeWiksLgybXx6MDLeZ3P7 X5D08DcW5NoOb28RM+b2513AGw8KFZultfX7hyd3XwAlE7MrcEI/NFP+xhVO 8+H8LI6eb4ThQTnRXLmvMEwzL54zU1XWBHHMvuLe/LH5PTgh/7DhvHDkx6SX 2+N9f7TlQEwkZ4EJnNQYCWEzATAJxTfF0yE+EmRQggLZ3uA4xm6QfcnEk/fC mY0WUFa3oJmhtKlMnx15dX31T+jiw6O9pqaS1dW5g4MdsHgtLk6Wl6WABWtr CxpjfUNtci19fnnq1y4G0Ug52dwZGpiovbs7gHt89+pq9fJqSxkd9JbmfXa+ ODLTl1OVo47z29o53N1fOT5ePjlZAfXwcPkK8sAe3t2sh8fLuWpvRLsSoBF+ ADYyVV3dUtzYWXV1BWX3gOl7N8ubq0klKbEF8Vwt347rgBKhnzrX7Diepni2 GZFx7+j5QIgJcvpAxF0a3ppBREuotjTmXy3pYfEQBeL0FODoGUScv2egdmy6 SRMvGRqvk0J6CARJKIUPYBJsRCKpvN2kaDuOk7PA2VmIduSjnQQYTxkaLXYB 1YGPduC5OfCdfSMlrS0VIyNdMWmBTD/3uPRgVRgzLjM0IskXURKQhlIgznYw iReIDYtXFBfGtbVVfutOR7ZUGRUlr4n29lxXZwHZWejuyIdsJs4ilC3H3Y5N cZexXMVMqT40ODmG4CsOz0zePdwHMOnsHGK0ltZ2/tmc9pe3dLAT+asV6zVK ZOLKMfOmmXtTHdieNkzvpwlKLGjeXjJ2ZIImJ0efmaV/r2JdFFdSklBcHFdT nd7WWtzSWlHXUBGXnqNPyMCytfY0Dy+lkz3H05btZsVE23O8LJlo3whpRVlS cXH8U/8aqFWVqR0dpWVlSVlZEfn5McPDDasLAwVVieZUV0s64Vkc5ecwswWZ Yornm+AZthwwkNzMqS6L66txBVnyKK0kImRgYuzum4VOfN3yuGsG/+zuHz2+ +fiFL5kGkd0oLNJyG5tT8pMr3YEp8xD50/3CvMR+EOEHy6UrFM3NxbubIxur g2vLgwj5dnKidXTk3fRkW3NTfnZ2RFZ2hDxUyVRJWCopUyVl+0oEaok8VB6f Hp5VEJ2arUvOCElMD9LH+YTHKqMS/IL1Ul2Mb2K6pnew9dllPx5RfHVyna6p qxUAIRuqKCE705Ym+sGFml6YnVte8JMbw4LIk4VFWBD5yCTswpHH5mQvrY3t 7c7cXMPxIE9u839SeWRB/L61A/mrVYAwtnYez3B8eobmqZq6f5MR6RLO5nx0 c712ebG8vzf1TIsJom0v9h4frl1fndxCETq/MiBvYRXF84uzqPRAYSA+UM/X GgCuhjFSrBIi/MfIo5P8AOqOSQ7Yvedw/o4G+GcURLhxaWW6q38AFj5af5LL 4Bfq+sHh+ud0kK6vb0A9PTsHdffguKC2yp5FsGfQ33jzXntyoeA1DASKAPy4 ry6QSwsmJgl+duDIQ1PvEOfC1+N1IPbn4oYWI1fOD1Yc34h0UWDSX94yjF2E EPvag2dK4BrDWUhMvMFkwjMnU0w8WJDvD8ZIYHp5g4eu/LUHz4zIMyF6qmKD ReF+0igFWOXH5sbvvn0a32cP0eho1/b22vz8eEaGdmdnA9krtPU1IBKIvwqQ zi5ODo8XKluyj0/mj05mb242zs4WtvcmJhcGyxoLYfrZ/tDYQFt3Z3n9u+bO ttmF0bHJ/qWV8fPztfPz1e7uyvp3Obo4OZTiJPQ9KVoaQpaHkFPy9U9/r32o naymMIKZXkpvJwiifEBAAuDEnMS2pNIgovhzgIQ3J9EsSHQLMs1VKA1MSHIk K6kSAEdvLq/2xqcGTk6Wbm+3tnZmj08Wg2L43YNV49MtvAAPVThXFEzVJcl8 wllYuZuTAIWCfguDBNA5gcrHIGoDTgK0Ex8NscQFKIzIZWNzdWi8hyp3js0K ra3Pyyw0tHXXA+CHxLKx/TyEQXhwjwAvdfS9Oz87+abmo8d+LG2qA4u+p5xj z0W7Sj2F4UpPBdaBh3LkuTnyUbZsVwcuxSdGp4oJ95BxNanx4ICgEu0fQcZw WAvoRhGa9idTqjFK9JM99yc7vjUZj5Y42HIxVkzPj8TScaYULxSPqkvUNjcX FhbFPvKOQAVQp7IipaE+p6W5oKO9uKerZHigKjAqwJqOceC5W1Co5iT6Wwrd GEvzEMlLypJKS+/j1x60r+OKixNKSuIR4R3khKWliUWFcZIwipvQw47CNSXS fwUdwdWMRAfrqRmRiRJ6mFFtApIC51aWcEqhJg1SxgZQ4bv2pX1UDo6Otnb3 8AKtnz4toxBK4HV4fDY8Mb93cIx84cvvpvxdgxMLyhxqiuO+cGcgFhtTPO+l J9sNIJHYiOq6/NnpDmQRnJ/tmp5qKy9PrihPzi1OiEwMEKsFdAWXIGJ581nu PJ4NhePMkuvT8/Oq3zV2D/SNTfWOTGxubx6fHEL6Zpfnh0e7K2vzu3tb8FW+ vwxkyn3XNQBw2uDogDVV/CcHQmF1TUFV6Z+dSMLQ8KHhFiuK8EcMXabVewpV Lz2YkOsN7FI9WUaeLICXqupLj/YXv6fMtH+oID04MDHYP9ELmucITqu0tbf1 NPnpH3QBI387tbDcPfybRIQu724PYHIXqHsHe1PP0hlDGGllaA2ulxfrXyLX ifx0YXU6R+2l1vP0cUrEiPRYAV4KiRDUN5eAr9U2Fo3DgvDf4SN7C1/V8cmy ry5pa3se9NjtzS9Bo9v3vratX26o5MJKZ5bSDu/zsz3vhYPghcNHzjXnx8o3 cuYZQbYa4QsHnilG0jM8cfeAKm/+2Jh5uE3oDAW1TRRFuAvDPz6r8h82HGMX CPwYA7TmxXztzQG/DiDQGxyAQAwzIvWlo9DIlWeE4gNQB9AREnYBPjUlMGzZ BA8px4rh8YZqlliSdPfP2qt+/PhcX1/Nzo7c/F4HHzjb9fXRxeXe7e3m6fmK PJLlGyPd3ls6Op7sG6uAzETQ5uIYPjiGw+p34BGyDjYUQ0P1oTESyQfCQUSZ lhYQJYhM8Y/OCB6fGZxcmAfrtV9cpLecb8lwteO6PI/xF6Ac+M6WTFt7npM9 18OC5v3RUohF7EjmVPwLN9pfrBijU4tg4B0cLKytT4En+uh4YXt3bmNruLIx c2Ia8g5rYiMjkmKGxptSSpKdYfDzDJI5vdfxRjvyMQ9hdM6cQNLm1kpatg5A vs6ehvLS5M2t1ZB4GYBDijC6fxS/rq10bGogvzyJq/aaW4L9y1+hV3+lg8Br Y08nVimwYuBtwEaDi8JIXN1lXs5CZ0e+i5eSghK5MUME43Oz4Ju9YyM8bYDS oFtYXT67OH8cMAvLG0xljAlaTJfGvPVQunCIjCASRoh15hOeZbm1pGPt2ITG 9vKKqoz0LD2iHPiIcBAXG6KZAw7KyqDUFYJglhUdAC0CEgcHM4hIbZ2V9XV5 2bnxBQWGRzMUcvBU7DEnR5+TE6WPD/CUoewJXGsS1ZrlZf0FAAkaGDSCGYFj zfBGS1w3djfBXfvHR3rKeV0j0GT7/ZuPkL6ZWV6YXVrmaf2EWo0Dwf+/zcig m+aWV6LTSv7rDZWpMDR2DF1cQDPtJ+8H6V8oXmxqrqm7r62vd2BseGh8GOxu 3rXWODKlJliOKTx9gVcjL/YPGLoTgz/QV70Bh7PNTLdXQ9wkQ15u9MJi78hk V0p+TkV9WUtHTXtnVUpOtNbgFxIpkwXx+f48gVrCV8sYSmlOWcHcwuTq+uL+ wS4cs/bZpj44Ot4/PN7ePxRrowNik8anhsFka0eXTk13izXhf3YkMvzD/AzJ LzwYZgQeMseaEfgALMl1+q314b3dpe9w0fx9BU5LcdY60EoPomnTg2hBzLHZ cW16GDuU2z3affd76azPFoXf2VwQ42IPxkh756eLSCphJBcMANLHR3O3N1cw UfyzWb+fFQT1tfTUcv29wgxSXYxM/wwgxfkAgNTV+258ajA60Q/g7bsPeYPf T7m6vr2+OeoZ7Ozu77pFoix/wXZ0731D8h18wHV5iBc7Tcgvj88v89En/2jP /rM57Qdr1j9s2D/act7nQfushDXfGCX4yZ5j6S1r7xv6is312KvsIH1Ycp4j wf9nB44tUfHSiffKg+Uu9rXwlrx0Yb7Bc8wIrLc0IhTvjxKY4plvHiJSIWiE Z7+lEhH7/1u6N1hnMRI3pSHs8PhXk3p8i/KJxoFttr/LWnsDbuFs73BWaeDM rIw0dtWZ4VC6hLygqGxFaKJ/eFJafsnweN/axtTewXLvQG1orCQiSakMo8ue RNZLQsiCQDzASJWN+XVtZUurM2Ar4iYh/+Dx+g3Zzoblas91ewJOIHyCFrvi VPjApCCxXuwhpztyKVb050wkayb+NdFDGqHpGBjpHECCQG/etbVdnK/e3W7F ZeQdHABgvz0yMbS1PdXZ10+VxCyvTmzvz1gx0LZcx48g2VOQhn48xkgwHlK7 6vaK5q6axq7qne31lZXZ/KpUsswpKFok1VC6h1qQtsqtSMIKrTOKYx6WuG9b 7sU2J8dsWYS3dKw9B2vPdXTkeZDVHDepu4sYg1NRc2uK7p5Y7BdWVz44AzxZ VXdUO7CwfrEhrEC5JYnEDlJSVUy8EuB8r48b3I5NVOjVVfX5DQ25AAIVFcU9 RTUQ1Mk3lJYm9fZWHe5OZBbmGOM8EAMglJ6GRrBmEJLyEopLkwsKYosKY3I+ SHTyJCVcXnRDfWZ+Ua43j8dW8Y1cOI4CF3McxYHjDgOtZ8jtPW/fik5A+EgA IJlRMAqDOr4gh+Ivk0VqROHB8IC+/dYW3T9ekAUxu6LmBxu6OYFijPUE28PX LmKwnbTAscywDHDwswP3r5YMsjhi9+Dg9lPLH4IDOwfHvCSB9nTpDy6kvzjh /4EmG3kyzAk8mNXDhoPFuKY4rh1N7MSS2dPFZTVFC3Pd87PdpaWJje9ydnem +vvrGpvyiisScvLDs/J0mXn6lGx9aLSff7g8PEZhSIQkIqEw/wRldIIiRC8I jRRCxCSDNDLOJzY5YHSi7+5XImevL84PGH6hf0VRW7pbi2uKf0DT7OmS2Nwi I2/2j66wPZBwH91m5MUiyoP2DmAJ6G/W/v/scnsFkVjuztWJAWY0SyuWDZSA UsuzoFs68J26hqHUmXMrczv7O3d/kK7/O6jOtxfQag4t6Me3N2ub6yOQgXGp f3G+Z3d77O7uNxPjkaevrD6HrsT4R3D1scrwWHkYRGB7MCXFKcOipbkl8YYk f0MylHP57jvt69vr6929fbAr3zk7W76+XnskID1FSkhmnMXlsf2DhfPzFViE 4eTZDd3HrB0fh6XmSsLifSKTA2Oy1ZHZfP94ojDcjRFs7iZ7H1b/+WqMEr1y pVnRiVyN2seg94s1tPQjT9/vbz8kqiKzvA4rDeKq4v5mxSJLw41RwhcYljNX UVjdZuzCt2FQLIg8KzqYdamvnIVvsBwzEv0eHeE5oEJE4vvtNt6e646RoK0Y 7qoYPeL6/2O98PvLVzCv3RsZVnXxRcKAGL46NkCfEZWSGxydqtYnFVdV1zU3 VjbUb2xOH58s7R/MLSwPVL3LUGjpT5UVkbwnAXpecUliX3fDysK9nMXi+kJu bY4hz+CpxEO2mg/i19w85IT4osS9Q2gmrGh55yHjmpHIoOufsk0gRi7VG+/D D0sLz61NyqyKb+0dbGpvu7s7jEjMCjGkAVQ+MTM0NTvYO9Tjq8smizV3tzsb 22OhqX6eMixiI/oQID2vDnyUqxjtJkVhVd4LqzOPLTM6NaBP8R+bHuwcaLqD n3qwjaprLW3tqb/f8nz7fkd2iFOLcwRfsSXdy5Lh5KX09pQT7LmU5JKcvok+ MN8OTA7cM74+xWpAzjAwOYgSoZyEzqCipShrNsqc6m1GxiGxY88AkgnJnR4o KanKrIPTkRQXxz8FNogFqbjIUFwYV1gaz9OyzameCKEaYXq/JnpRVNKsPEN8 siYuVVdXl12ApDj5MFEIAFpdneX19bmpGdECRYiZN+Utkfgaw7bnuQIo6CLA 2yC6E1DiXbwFmQrT+PHmJKYJjmFBw1rScBYUkiPfHbxpTHDzidG6SVnMYFV9 V9v3j47uHvKqJxeU/9WSCSa912i+EZLSyEkAbdxQUIYjI2ehiYv4fxkT04tq 72D2wufOBmah07PzuvbelKLKqMw8VWQcw1/jJfJ1YEisyEIEe5gT+DZUEZqr 8JKoo5Oii4tiq6rSpuYGuoc6qlsaY3KKA2JTmX6+ZJlYESLURIp1hvuNvy5G HhopCQwXBkWII2J94lODkjPDMvOicoriqt8V7Oxunp19eg1FQB3SHZml5f/P W/fY3NKD3TkMV/EPDDU2J89DpHYV+Ml1kTZU4U9udDMCHzEi/R1N7Rr6Z1AX /mkFPJHHJ8v67BBDXrgTH8og4CREoUTQJhFsecA+MaUs1UuJRVwS3zrq5/NX eQAA0snx/PbmKISOdsavIXHO39kFK+sLgdHC0ChRVLwqIIIHDj70tSm1UWA4 KTSRoqFRCB/efuOc77+9QLPoyen23d3GDUy9fg+HECfaBwBpe31zOi2/ZG5x bGd3Fva5PC8IDimv7QLPO4oc6MEKJQojaLIolk+MJDAJTQv6yY5r5PwrAAni /HhzTbw5P7vRX3pS/ob2wMn9zi/Or29+XVLglz9t7h0ampxhKmJ8wzMIAp0R hvvKkxGbU4rlhr3BEb1kUlMCxYqOf4MFv863IFPMyVQTLB/MxqZ4jjmZYnVP ZwW7V8jBYcNGuwiZO/u7v/rr33lBLn5+eTMwMifYkC8NTiuqend+vnN5uQ77 1LYvL1bhDJIbp6dLyQWhuiRZfHZgQBRfpqV+kJsjmOiv54bFyAIjeGCzMD7R /7RZ0itKLGgusIAP6hGrAPQCqlgvu7q6AgDgNdHNisayot/nzLWk4R+yn+BM yZ5OPBxehddlhGaXFYELm1+aQFPVR0dLJ6erPYNdIxN9idnVdFn04GjPLWQr 3ry+2ojLi4RUBT7ysj1z87lJ3DkBZIwYzQ2VDE3dT8vIxf/LZqoPC5g6Lq8u 4wqS+Trh9t722fnZ1t7O+cU9A+rZIvJsNCIA6er6qrSpzIZjZ8m0tmbbOfKd 0CI3gIXeQm7N51Y7WxbxBdadpxbVVCQVFjzPgPbuXW5ba5EuOkIdIWcGYlBc N0sq1ZxCtqQSH2PQwJlB93nJOIUV6aWlSWlZ+ob67PqGnGenysyMaG7MjoiN +Q8TGhxPKrRjeDkLXNzFngQFw4JKeEvDvaV7YYQiKwoPUnQn0F55su3pUjSf Y0HBljcXkfwEFjSUp4KIkbi7SmgOXKqXkqzLNNR01p7fJ5/9np/NW0FY8D/s GMbOog8zH70nJLzBiH92YKfkQQDp1wg5l9dnKwc7M+3d71o769u66ju669u7 65vbaynKwJceLFMcF5EeMvLi+OpCC/L01bV5+wfzrb1NTkzZX1HkPzng/oKi /IBmMZTi0Cgorl8bDQUfGRJ9cwr0pZWJLW1FbZ0VxRVpeSWJWfmGlKywnMLY X3bx32+cj47NCTxNSt7p2f70dJclWSjWRATFpbwlSxaXp7fWR2URcV4ScJFM C6Lg72gKkuXt+/eTfnG5hZOkXAgj+FYsWwCK4N0i+iFWBQ1mIXO6JVlNrOmA Mlh9eabLr1quEbGpq8vV9dWhvZ0JKFfC3S8JQv5CQdBOZ+87baRIY5D4h3M+ wUSCU9hooyXZBTHfYXwiMq82dgyPQAbSAzj35RaMhXbA8c7eLEJJAgvNQ2bM w7SCovjMqpubSzi+4HkBz8LFxWVNU5/AP8Ge4POjPetHO/YPNqwfrFl/s2L9 ZP+L6AiSRRI+SCQJIYK0k9jMk2OBJ3uIWGefl79A4mG//K6vrq+1cQX2BHlq SQVWFiQJSpYGp5a3Vjpw3WxZeFMiAyZpQwkXzIiQvRfFkb/G0hGFZ7BSm1M8 0GJ3nIpiSnbvGOr/Hc3+HZan4LOioduJqLbx9rHB+pi7ydg++pGJ/tFJqE7O DPYMtY9OdUwvdBbXJIQnKR4zcSAq0yo4RazGIPLTsmbnRu7gfLuQ6/rqUh6l BcuuA88LphZDvi0wPzgJ3Bx5Xo097WAoxhZkvSG5v8SizSmQ0I0lHW9KYFiQ aRZUoi2LoIwOMuQl5tXkr6zNnJwAwHbjq8vwD0+8uzsrq60bHusNMWT2Dc9V 1jcgo/fmZrOjt1MRLbXj2n/OcHRvyBI445U4rMILLYKSkbUO9N49PBpPmJPv 5ytkR/wvWXY/JqF94USK/OH19VVOdY4+O1IV5+MpY9jQ+Cgez4lLt2KQYZmF DxnyDJyHiEOSSvWJERXlyY8kIoBwaqrTW1uKlYGhRBnRlkh1IQtsqUxTIs2S /v4kkGIA0U2bHFFYmRmWrBscamiozykpSSh4gFuPwkoVZQm6qHCmIoLAU7x0 EljgyHgVRhnpY88mWTHcPOU0RzbHhSsXh0XiZOrozEyqb3B9e/3a1vjAeMfF xSrOhwk24C5iF3vo+SXZctycha54X5oiRnlxeQG31/e4yCI9sr65x/Y1/N2G ZYz6pP6JEMkdWdvada+N/JkCPjXklHACIwhytRvf528oCthdGnmy3mA5FkS+ LU386L0yxXNNcFx1tKGxrXqgv2Z2puPqYunubvf84qqmrYcXEq2KSlRqfHy0 Ul0Msn4pFKFyrtpPm5QWm1sSnpZf1dKNPNeXlxdn56eHR/u/pkkLfZpQUM4O RGI3zsKSk22ootqWJoDTGjq793cmDw+3r69vzs7PfQ2pACPxQ6Kv4Pv9t954 PhZ4dbpoGyj3jVd5+2CfCcEhFUAmG46DOkH1Wx1NX7uVzq8ut5YXe+ZnO9fX Bk5Pt373iZCrqmos9NeyIEG5GNnHAAmxI0XEKKISfE++PxoS0q5Lq9v+Eanb O/M31xuQaeh2a35pbGVtor23+/oaYWXvwLJIkBGpubMNbNI/D0hu+QHR5h5i F6qfLU5u7S0xcxdBmkLOQrBFMvqUCNJjTlhjV64xBq5orpELDxEEeOko+NGR 5saTpZYVVLc3r2yuPxsPN/eSC/uqsIzd/WUA824hjehPXx5s04b+nCzV1LZ2 bO/tx+dUeLI0xyfnQSmBdly0JY0MG3gZ1kysOYn+J3u8RBdL89eYknD0QCks XkdgBEkFOrkVg8DV+A9MjlW31y5tLH0yDdm/RUGmr6rGHnu8L5oa6ExSG6NE f7dhv3DgvXTi/92GgyL7FVVV17U09g/3zC6MHhwunZwsxGUHyKBo+qd6jFDu M/COUstsbq5cnO+/PF+Ged33v3JxeZlWXvgKh7Fl450FGBgdoVAil7dMS8Sq fHl1lViUq0mN9VbyLGheoP0tKBRrFgSWLGjeQp1vbUcVnJ51f3K+Oa00yRbr OzM/srQyZYqRmLuK61sHO/uG9/fnbqBUBXttXe3RGUl4P287rpOL2NVFgvlF jIRyEqJsOc6uEsrRCSxe8f315uMFIYv+F17h5yaco5PjgdF+SZgezfOxpfPN KaSPg+vBdsAI7+EuYiAJKUqhVLMQQCorTayvzwmPDuPIAl+7MWzZrlYMbys6 7mNLlA3EH3OnBUh8Iv0zoZxucQWFicWlCe8a8wDoAqcqLIzNzNQNDvcdHJ1a ekpeOAh+cmCbelGdWDQHvgtagjYluSsj4us7mgtqyxlqzeXl2unp0r2M/93e weGsIJxnx3UEe3Bbtqcdxx0MKk8F2Z7n2D7YdvfdGAA/Lshz1zc8A5615zmP HtThwEfGLsK/WdP9wmFt/M9vA8FgqGrpissrD01Mk4dHiTR6ul+op8jfhauy Z0jfkvhmeJ6xF/uVJwuyIOG4El1kXlXpzc09rRTSBL673/C29Q2Jgv1ZKpm/ ThYZD0lEhhnkgREKCyLbgalQRacU1Db9jvudW1nb2t2HMOH2rhVF3NwzcH5x 0Tk0fnV1fri/9vi1hdV1kSZm/+j47rt8Bn9PgfZT0CCMyAoxJpk+FTl5onaC RkJFmCGss4svzaXyUft8pea6vTk53jo8WNvdXoDTw32i3HwZx2//cFehY6ij BH56LgBIzwxHoEbG+YCqiRIlZoQ+ZKj5vjodeeiaOkaY8ggAjeYWRm5vN3sH O9Pyi8/Pt46OwNBdu4Vyku6ALfnW9kxsesnB4ckvDN2xmZnKppag2LSf0cyf UMyfnFkv0VwoUgwNJ36FZYXex689iWgDGMkI+ibntRvbgkQEk+1bKs6WQXaV MNykTGc+9S0dG5j4QaJJSH796vrk9MxXl/UGLZyBEvltQnL0d+e//HA92oRP Ts+3tg9bBprRYk9nPt2JT3XgUAD4saB62zG4OVX13SND9hwC0U+IFjHNKJ4u QgZWKQQwCZJ35pDBqxnVumsE8p/+i4yif7QgDbW3fzQ2tTgxszQ6uTg+vQTq 0NhcR99Ea/dYXetQQUVnaW1PWHxxYGROWHxhYFQKTeEt09AezUdIDdDzVOFM qo+bQq+OSCqZnFt+pDEjnQEwUlROui0bLHwYFzEGI3VzEWFoQQykAZG1bGJ+ lhogM6Pg3lJoT8wRhBdYl/90sgxKDLu82llc73xL8EjIKgLrPFcV87+MiEJ1 0tLq5tziKJQn7nYbwHuhf2xmZYo9zwHrQ4rMinQR/5IR6XGOchG5p5an3/2P mZwhz2aGT6xKk6YNywiPzjMklSTXdtbOrUxdXEBpFqtaav0M8fYs9lu6xyOJ CKF+WTFx1ixPnIJiSNG1tRR1dZaVlCTANp+YwsIYjV7zZwv2j/Z8GyrWAkex wJLtuR5WHytZwb42M4rXa4InL0DmKRQ5sOmZBbHjww319dl5eYacbD042+XF WWZRI9gNvXTkoakhcm2Mk8AZLcbYcOy4GunGNsBCJ8fHC8vr448qbQAjXV2u 3tzsvOsuseU4OgsxMNkMBaVZ4aNdpW4hKdHr21vfrRUCYSPUtfb9ZMcxcRGD XckjTDKGdpSCn+15ZHHka5T4jRs3t6LxC0+7tbvLUus4QRGSsNjAuLSQxExF RIwgWMsJCGX4BZMUASY4TlhSAhyDvPOeQXG9dn21cne7d3t7mlhQ/l92eBMs Uxggjk6Atvxh0ZLegfajk9NPos3fuuWfnF/Krmj45EewL+Dfchb9pXJ7BOXY vbstbcoH4xnMe5/YoPGdHfjOOF/s1u6XprB//M7B0f7a5vLFJeII+76G+tX1 Vddg8+jUQEp2OBhFsSmBiBFJZ5Bpo8TaaElgBC8kUhgcLWpoh/KHfs+PalVj X2x6Xk1Tc15Z+d3dIVjh5hbAdHQN4CRAR7c3ACMdjk3NO5H8Vzcgmv0nvcOP gWwMdYS7yM9LqvaQ+NkxxSY4tikBDpaHKgdSQ4J0kKD6yoX/HindoyahkQvX BIJJWG8fCkejEEeo1Ikhqlh1QFIImOR3PkwPGp1aHhiZ1A15RsBTv9fa1Rps yPmSG0du4eLqnBpId+QRHbhUZrDchoVDCemvCZimXkisUhIZbMPCkvzE5lQv GxbeiIAxIblBUWw0rDXTAyzcAFmBSxqcBFuhr5/V/V9YsorrDg9Xd/aWp2Yn RiZG23t6Dal58tB4lTYxu6QyvyJHpmEJP7QgKbQ0QTCB6IOOSvepaWxeWvkg HAMBkKCV0GIvc7olACQTC5PLmytHJ/fCTaAsrs3HF0Q5cMmmZE/bB1kkG5gz HJwcXt5S0THUMjzVu7I5k1va+P+x9xbObSR72+i/c+veqq/q3q8+eg/tOZvN hmNmy2xLsmRJFjNZZpBBJslsx8xMMTMzM1tmlkW3R+N4HdyAN+DMU13KZCzN 9HRPdz/9w/K6+sb27n+a0h6huNPz68qdlf39+Z3deTDzM3xjG6A0eUdVbSXV bRW0cIrF6wEq382ROI5mVKv67gb9D0t3bwJu+cGpQUCKXlRmpldkgBc1Mitq dKr59HzpUrUGmGRuVamnOMhT7G9GohkR/ojQCKXDI3o9xhIeeBBRdE79y/ya 6ozsbBkURjtHVlGZVVrTwvaPMnFhAVbz1M3bmu5sRnU3Jr3bJR9wJNCJz4ge oFgz0ClZMa0txfW1WVk50SUVaevr8wWV7f/rCQHMAP8yo7lQQ9gytg3bzoJu hfXD7R5Cg/3gcNYwuqH0E7rXDCN3lbuTLkLXV/G1HAxrjQ0+kGpO8ZxamNN/ r7MuzAR6hif+Yer9dxPyP0woBgsEwJG4v9p5PXJg/92ElFJcLFUUUcRy/Uc8 BRx9bn17Nyar2E+ewZLKn2JZ/0R5/e5GfYxhwIo2YzzLQxC4qZzRag1Gp69a 8lK1qtwen5xoaW8rXV1fqWjuzCpMiEvyiUkQRRs2+LANLSRc+LPU7e/DO73R 33ep77PLPhcnesh57Wh9ewxlsDW6Mjr6Q7nm6OnvCd52toxzeHL4p0phKM+y wVxnan5UlubnG00PieNk5cfC6cJvqel0r8pbfzBgeGakfajt9PzM0IN/fseB oXZAjRSpATKFKDiWHZUgGhjpmF2cGBrvGZseOPvrU1F8IeBW7R6cnlnY6Ogb BX36srWJJIi7skyBfAAvDIav6viMqpYuKMfc2/Je0FZg+QOkcWx6kSSM5Yek hsoL0vJe4oWR9xzIj11YUKBFF+YjN+ZVTlg7QxaPVzlhH6CgkETgT4+cGY9c 6A9dGM88SSZkt2cEp98xtv92s/jV3eIhzvQp8XlG5Qu9gdcVVrUnZddyAxPW NqbV6m04DPje3vz80mRNU/fZ+eXHPHVWVZarEGdGwQWlxGElXHyA4HcMylcB RWuv62x9gnf0kYe7CChWDAxYpuPyXojjI8FCQAzmWDGcLWkEQiDvOckJ78// 4bIb3AQciddgpgLpIbsHJr14MqniRUN7i0EoBytYlYZjsGCdHB7P51XK/WJo 11o2fpgXLcgD62NP8HcRRZByKhUq9bnhtX/TnSq1tCAkTdYy8Mem+JqNHJ8e 6HXbTb21VlAKXXc4ee5DT2e6VHx8CvZWp/F5IW4i26TiWDQjUhKZReTH/X8P cEnZNbOLK4srY/yQhPWt2ZqmRt8IsEfe10L55vThmaGAjznyX8uQC8WHvBEN yYoBR0NyMKfZRuckaT/oDvCjAG7VqaWpkLRQ/6RAZiSXLROEvwg/OVm8lh6c nCyfnG229rX+3Y74uxv9Of4qSOMzT+pDd6YrXxyZGlFYmjHQXdXUmF9Vn1dd k9nVVaPRqI5PL0iCyMf2nMfOVAeevRUDZUnD2rE+FLnIDMqG7O7ExVuSWKGK qLGBmt6eOrido1NKfzGnPXbgenHjiP58U6q5hwTrInIbmITcV2eWJo6O57Ta 7Tdi2MKutcdHc1hfjBkVZcd2smHZgh8aomg6O/HdYO/I77Mr4UpdXKqrmrol kZnCiERrTyiw/38smRFpmVZEQJDIiYWFkIh79+ATc45cHO7NnR0vldVXPYIy erDg1B6g3HelujL5ITFhq2vDMNu8Gbzl9GSxubl0dLTLUD1t/8hggEwsTxaG RbPB3v/w6Ha8UXTfb76tWwb8mKVNuWXNWWAz8rK7BBeAAwQeFhk58Z0N/iMO gBpVtpZ6SDBR2TL9R7fw+MxQUDybGegRHs+PSRBLYzgZhbGHx/tvi0zh/17e xv79uuPKmsuekZ73T/y56xk8l55fnK2szReUJUcoBCsbi6CeX16ZbwndoUa9 JghN3tyGZxj4pBoqH4GzM01d83BhZTdBFHUPhX/kTH7oCCXvuNKv3QwR+Q47 bSghLGSkbcd66EB/gCK7cCmhGSGpZenJpakZFS/AXrixtwk0+/HJWWh8ngsl jOUfX9Pc3NLVNj41eHq6DDteTc0Oq1S7UIRD3btjHcOvzfLGMiWMklCYSQ3z 58eEcWUhHmK2u4i2s79zcnZqRsEoCtLAASNc+Ku7TWpZIfgJMVCUW1OZUJSQ WZW9tLHmLmI58Uk1HXX673Uq/iRAb7tub31zenJmaGRiYGZ+1BAl8tBgTWTQ buh3M6tSUVwsK1LADycBaiQMJ3BCcUR/V09fB1CwEhTax95daMOXUa6u+Z4t hu4VbpzTGGK67m4qJ7lRfsbeaFASCpNOz1Z1UPD22ea+kv7J1pyyl0+dBGDh oPsmPHcWnp2rWrpHPNlReeWVl2qlLT5wbnFUpwOvrm57bzEsw58U4m1KMbfj 2ANSZA/F07Y3o7rYQMG0oTMWNBdrhhs4BiTKmGJKldJh76cfHXDDrmyuxhfI c2pziME0O7abIEYwNtsONjtazcarxXF/ZKo3NvOFh8DfiIiDwhlRPJ5DcaqZ llRvfzk/KEGYWhC3s71mMOHTjE0veYvk9oSg/1hAQbl/syM78ZxpId4kf4oj l2wMBS/Cmr0VOgBW25mQcI8xVEawX1NTQUFZ0tTc+OzKLHjl5pY2ZhbW5pc3 1Grt8uZCc1/L6NzY7iEkgVzdXg9PD9JrodDu1ws6OIAFIFDkf50yszLFiISy 56FsWc6sKB9nIRRgHCxD43Pj+h9nVCr3DmPTyh/acfLK27Kqyv6fe665pW2f ehHDYnR6fLxzcqyMSkt/jLkK4/YMiqRNJUoCW1qLRgar/+j912Lc7ayuDnR1 1cGJ47d2j5xZguC40NqG/Ci5oH+oVffDWlp+E8DysZaBevBCBqX4mlDMLejW DjxHjB+GGOTlHUIMTJFYMW08JO7+SQHyAkVEZiQko3s/34Bny/3D3bq2Ut9o Oi3ANSyeF5skiUmAHMEiEkUHVyRWe6MOUH/tHhwWlhfs791C1jPVpWrvcC86 N9qObR+U6lfUWKSGxFkf5QoBaj45N3LjWbRwZJLvyjD7A4D3KQaWCKqsMuQo eLPmH2je8pYKRWFCdk124cv8irbi6q6y+MI4dzHLgkx7gqU+RrOeoJmgQBIk Z+ZDRxZEmd7h4898iiY99fA2whHNSCQLIsWI4O4VwInJydja3bm+1/zSppWn 3/bO/PHp2sj4QE1TQ3VjQ2ltLVjZwYRpcLjbhYyRdOs67d473zj4QUBfzyzP rG5vzq4stfR3c6KCnfi03QOIFgpiw/0SIEq/vbdty/IEFdAbMgKEpilAEyn3 lRcGo7Lt3Z0DOMjV3Zk6IGnn5OxsdklVXnl1ekFpSU1tc2fbzNzo7t6CVnOU UhrzlGBqybRx5Dq4CZ0pgVi8r6u7yMaFb+kisHQXWRP8XRghWHqQR3qpXLkH Jt53OJ5/QFCvhaJWbgKua0zyYEZIQFfqdFvqy3UwZxuomp7qk1BWB+1znbxD i2sgW1xw9eLqZr1up6SmFc0IU6nW1OpLvQ7wHOX0Qhc+EN/SX4UL8LZhYjG+ ODu2OzGIZcu2tec4mFHcnfl0GxbKnAZYk72ryKuqrUF/h1Rs68r1xKIkV6Gn LdvVWYAZmWgFE9XrsfFh2eB5THbC/7a3eE7APMeTn2CYVnQsIJOWTDtzuhXW HxeVE721C76px3Oj/9tvmHtWzPs2LCNnsSXW19ST4iGgm1HQRkS0GWSnjTYi uQMuZEzyvJlfz4hAeIymWZDZMZmRomgW2DvjAr08fPBbux/ylPFRSMDOuq6z vLwlD0qFYNAHGSq8p1WvnxzOXxwvVjQXm9KsUDwnGwbOgedqSUdZ0gEfc3AV eRydfHeuMW8A3mJfj4+Flc2B0Tm19lKakF/d2AvOfyD20Ychzy2/70p+imXC BOl3NyrZP9Sgo9x+Ry5yvfLycu3iHFpD9w6PpxdXQpOz/8sGZ0r0ScjNkaf4 dfW3qgwz3t2Z5/5iwG/d6fmpI9+ZFEJt6m0gBRNs2fZZ1alzy/0uIreajgJ7 riOgSRFZwUNTA2vb6x9z2ezyRC+RncFfmBUcw5IpRLDlszw1ICNPNr8IJxkx VMDwz9buoTQprbo6a3S4WaO+1H/uUgVm1OyaHFII2VHgYkG3ApOnkbepq8jl 9Awy5P5Txev1Tb9bs8C/GlXt1RGZMns2+lcP46cEaxOyvQVYdMi4Z3iCMcHL mEB46kl9iqM9dqO/SixyFfUIYkr2kAn3AwfmI2c4HqObGdXdko514nvn1JQV 1FclFOYsra/CWjyD57g2KbvGEiO2xUu4gXEr61OGDKp717GbbkiPwckDrfaj ZAKZVSUzSwvg4EKlyqwsOTqFnCnAzXb2r8TLhmhsf3gZ3LGOhh/n5PR4/2A7 p7TWjRakeFGQmleakFkYnZIblZqaVZqfVpzipxBZ0h1gNboN296Q8tWWGooN TxOFpojEMXTvQDe8nxNb6hWTHbqwNgdvFj6lHmqdFqxre10jTRPzvWDtNuRS mAXESas9hdjpLsRIMwpeutKkMKXXQcMT0Nrz7Z3DlbUJleoQnNDpLrSa3dKm nKr2qrmV+WcEAy/iOHoHCzwkaDOa1VMCiib1r+1sAS9benlhfVf7/tHxraS2 +d7Q0N1JCOSguLj04sTjw9mL8+Wbi6MhKgJgkgPZVTnUEPFTHCA2Lk+8jJ8Q TB/iLJ7gUU+87K0Z7juGGL8t3aOSiEwoPo+DgOYbE5UZb892sWYBtunoLHC1 YRBNvfGObN5jLMEQ7BptiIyEhu2aDNIM2nOigxXLGsV1fYy3debTlIbBBbux X8cVhK0sKtuq6BHMuq663zDPEgsU+wfzO8pxrXrj+HRhaKKlraemsb2wpD6f F8Oz49hjfZmWdGcrBsqcijMieTwjuCUUpl9+x57+b+AW3zq49Rq6+u9dh17E Mu85U9x5fhcXa+/MJ6XVbHd3V+TmyS/OTxu6B1EMCYoJecAZ4bl2FEZ4LCc6 KWzv4CsFR70zgGlDRGakNAOy2VBrDhp6ilv6KsFxaHpEaLpfapnChGqxvj1y 7UX4AYCFb35pKjCG4RtFlcbz/ohKbUj/Gh7Pk8ZyOntf7u4rVaoLuJOW19cK KwqyC9J6uys7WgunpgbPVX9iefI2YJ/ZF5UvjMgmlgxrg/cx7HYH9iCuPgrh 6XvChL55nbs4tX4Mrp85NDXR04/vLua4CJiOXJoFhWxCIhgT8aAY4b2eeRJB eY4jPsV4P3anXlsfvZGa7TdrtgWOjxZIyIHBQUkJNwnJ1e1eNXJuWatfVF5s WvnF+ZohMODGa1YKBuOZza2Z8/MN/Xuge6XnuRme/ZOcCO5Sp8MPcnR8sL4x t3+wcnGxaaCXh+CcTrdClhLcJa4oLpT49abBsz1kw2NHCyMk5IelFMXKc8J9 IikBMvqLXNnb14fpzEe0mMZgYQI4j7Kpp2BgogGaQG5si7Z3DoxdRcMTC/or zbgODsx1crK7u7d8qTaY/EGnD+GMgYUvq/kx0vahLis6BsVzJQYTfBWRT73c RmehrH9buzt3phPfAGRXBmjiwR4pxNuea9/cWXp5ugIJ5V6351GroXWzd6yV GMR+TrJny0TFjSUFL/MLG0orW5tfdndMLMxfXxNM+8tryvjcdDOKlTXL2oHv CHiyKdXkmZcrRhhMDghz4QR4CMWPPF2MiWBn5A0+DTZIHs88yWCjBDbUlnTU I5xdQFL8/tHB+PzMunJb//qYAp9be9tYP1xjbyPGF2fL9vAO9mZKBQ1tJYuL PUEp/q5CugUN5chHV3c0OfHRoWmxdizvB55WWF+WOQWH4pA9xOwL1efvl78V rk10Prva8Pg6PD4RRCX97kZ5CrEjwJHoHjxfL5/g6bl+vX5H+wZB0m8Dzry6 OjA/1352CgnqQdOBTeLp+cXRyZlyd2dkvLe7r1Gl+lhXKdiaEZQfq/FvHbAg enZlNr0i45U9M5TdEjSPcn8HLUEPT7cSgggRmWCjp9W8XwgDmjGvMkWW6huX 4heTII5L8oVIUYLoNYIUxwOsKUhG949mbGyvQu/A4U5nR0V3R8lAb1Vne2lP V3lxWaZ/fMru4cln7Bm6x3q5MXww29+c/G3Ydk9JxuRQyuDU0GenBP0ZYJiH tWCuE8dHShQyWpjEXUwzIZIfubOgYNRo1u9QJDRDseO82wDpVXnkRHvsTMcw I724cd4Cxdm5CkobrVbfEOJdGkxiQFEZ9EEXkE7tLZW6RrO5uT3TN9STV94y PLmohsROfyLHuGmdq72hX7w5zH+GIa/W6ADHUBvK5SUgHrqVjWlPP7wZxdaa 9Y4oZ4aoj7a2LAtnvpmr0ALtY+cpQYWl+FS0FLX0N2zsQKLjT2w3MIDPtZp9 tXpreb13Y3vh6uSr+X/v4LitZ+ztn6nAJP66BZHuxq0jM1MDk2IyKjOWN5dr 2lteVELReq/fig+Hav9BAY+azMpCW7azuw/WP9EnvVwxvzoAyKfuVfppUFSq NVl2xFOCjQnZ4TnR1YnHKG6oq2hpqmxrqutsrWpvau7vhi91PUaWNxcjsiIJ QSSwqXT3QccXyDuHBw6PtnpGOhLyct14AWiBvzGe/U9776eeREs61tTb8wma YUbGGpHNXUXozuHuvcODqKwUTz/ezDLk3XxzhwJePU40L608IyQ9ND4/gRHB MvZGWTHcScEEZjhVXpjmImDcx5gX1FeCm1LD/HwTovEBgur2Fr/EGHcRc2px bl25pdbcKcfSj8SV7dnGNiM03poigtJ2oAgOLL+llcn52Y61tSm97kKjWYdc q3R/2HSpL9cMRpuXhnILFUDwNgzxy2CPGGgopZZlxOSGbu7MsyJ5p2cfCr8G uEdxXWZADDMomhkSyw6N5YTH86+Va1C2jnheSBwnPjM4rTBmeLIXDNKVtYX2 dsCOyro6ygA76u4s7+2u6O+piE6OT8nP/+gKQ/UBVDmhOMlDgnEWur6RgwDF cwxODfRP8vdPDjw4PtIhvf8ewM0yODnGjw6jSf1wfjwnPsWCijcmEowMyrUn WNoTDO2xB/2hI/Mh6obB9qtyZZsNPu2YJlhmc1/35s7O1s6u+q0I5IsrK2sb 0ycnK6enyxrNmhYa7O/Iqwu+0DvYXVhVE5OSwwpI+gaNcgcAmUwfdgy1NPTU FTfkh6dHoiUYmyuX6rfd5J1chS6uQmeMD2St7S6ysWcbewW4+MWzK5sKwMVm ZkeGhtqGh9sHBlo0H7d4XarPzy8O31u7TxyLQ9MTh8dXmYVhx1Ldl+3WfxRA imnDOOoeG/T040jiQ1ZWRzRQ1M1tQ46h46beMrAxtOfaO/BRaIkXXerLjAjk ykIEsVJRXAQ/RiovyLrpinst5djZ361sq9o73IPPG5I5HmaUFuXXlO8fLniK AiPT05257F/d7Z7hcaYkvBXDQV6QtL23U9pUj5FwApPjQlIVLf2GSGI39i9n 52fVHTUNPQ0ByUG5tbkeEhyoQ/iLiMeEpyHpEeALnKhgtA/37PzcTcTsHh1q H+qDU/T2jA23DfZ+xab9rnF0cjqztFrd1jM8BUU8ODraOj87MJjxHkFRj7Q7 127+qotd8I5cjwPdq52F7g9r2k/Qkm8q9zNLXuZWNGxu73+iC96dxDtMeQEA KVrdWtEbLJ8/0ERXMnPlelSKJCCaHhbHCYllhcaybxIkKO6iIWJVVWMBGKez MwOAF3W1l3YZCBIoba0lFdW54QnxCS+SopPikgsrz1Uq3Z9NoTooNYZKubuC lniYUi3sXo8BDuvapBkhsfnx+fUFeh3geD+86eZfBLiZFQXZTjwqikM2JWOe E92feLk883I3JeNMvPEmJPwznPczHPmhMwOKGGmw0L5vbcgtYoik/ciF/sgZ Ko9dyM88SA5cb1chA+vL8Q4Wg4laHB8Zk5sOxxriBmVkFFaqNbuHR0tvK9Nf V7HBGqLD/IraxKzqvPIW1SV0hZ99vH4UwFbn+Px85eJiOaEwypxm4Shwwvih HflOtm8OE4dXIWgcreiuVnR3D7Gjh8jGmW/uwrOIzg4dnOjmhuK6Bpvn58aL i6G88BMTfZ+Ueeft2UP3BVks74YX/8cDftjppYWMiiJysO9/3CyeEiyyyhL2 lROnJwtgpOTXptqwUNZMO3uuow3LwZHvivH1JodICIEifIDAO9iHGCgan5/V v97mhrD0f/y3Z6x7eqlfrd68EufqD8Dn0dEiWJbb+l/GZCdWtBTZsNxNvNGC 2Ei6NIAULI54kUwIFAImBur2zr3nxeXFydlJfIF8cnEa/HV1ax3nT9k/OthQ boPJYXF9NauqlCsLvf7+tTDwLim+Pw9vP/y7GuQCcnyAZkulYaq8BQCWNTG7 YkcI+j/Pif/9IY4Xmnwrl73D+PBrCr/JJydHucUJITLGqwDUPjfTdsQk+ETJ hanZEVUv86qaC49PDgf66tpai7o7yw3io7Le7vKU7BS8yN8Ez37gTjMj8tnh CuUe7Fv03lvDG6Lmvla0BI0P8HIVub8dSg6sBZYMa3oEJbs68eJi6VJ9/JOP uw9DdXk5u7LU1NsZnBotUYRzZQGufMF/nIj3nEkPPWiPDV5ssNspFJrDnfHY lf7QkXHfhvPQkW7DdrTjoVB8B2u2tVjhAyeB3T86XlxfA7vCmo6WyrYmWJqk 0ZxeXh7A9tga9bv8Va8tD7Wb4Ata7db2zqJPRHZQTP75BeKI8VEwmFWfTy0O MiJpjAi6nSEziDXT9u1EQnBMIchrnuOEFqOwEge02E4UQ08uiYvJDhXHswIS eMJwon8sc2JmsKOjuro661PrclsPdScNsP8UsJXy9t5uXF6Gf2Ksf6JMEOvP kfm0dtWoTlcauiuMvK1s2ZBdmRXD2YziYUHFO3Cpznx60cua8fmZmaWF5c31 c9W7w2UANPQ0kEOp8jzZTS+JVzRJaZBQgfX3JD4/8RnB0ZLuaknH+cRHCGKk nn68ksa69132bQIM+M/hCeQ3sbmjVO7tHp2euImYyxtrBpXcVaqyj0yC8JMA tmjSaK/tBV57+Y+P1y9VYI+5bjDV+9JxYbiLNiKx+BdzKtjzPnbg/WbDEkYk 9w7NbG6/Iz4Pgus2+YBBEPyFw8O9zPzYxPTguGS/t9OZAbIkU4iSM6Wz82MX F5DJ7unZWVt7TU9HaVcHxJG6DTSprbWkva20obEouyB1bGpC/2chjGBcqs/2 j7aX1salGcGGPdQfHAkFyZwdzOlWDnwnV5GbI98F6+fVNtiu/4Ld60+IvOom ol+kE8v3mSfNoGgzECQs4wmaAYXUdmZC4Y/s2I9dKEYYojEeZ0R0Ysu4eXV5 +S/zS5tLu8e63xq8cFieXYMR79GrTdCbxSBcghxaDfl2dw0GSwg+DReX6jXl as9Yg7PQxZZjf51++p0FxbV35KEwEgcPkY1PHLOitaiuo7yyMR+KJBmK54cT sgpiykuSCwvkGxtL+p9AsfVdAbT24vrq2Nz04NT44ORkUUMlN5ovlvvYMJ0t GS62bOdrugtokrE3ihjEXdve/MAF1Rp1Q28DM4rNixHk1YOhWjS10PlGgB3I qVy7qdVsDU+3O/LdbFi2KK4TxhfjIsSjOGDXWab/M2nP2zrQ6+Nz1cXq1nv9 LxD8Kfb2tg4O1rWak9uyO1KrNZ5s2S/mdDj37gM7zlNHwb8svDOL6/U35HsI PgN5xQkyuRA2z36jwJk7wuN4geGUkYkr/fLqynRjQ37nKxUbRJM6y7s7y3q6 yvq6K05O4FCNHzEDQ4qzo8mFdmKwF4p7M0+KA1gRuNGsvLrUjArFi8qEqvbC 4emu3YPXEiggeAOgZVJKC3iysJBURXx+VmZlSX5deVByookX8zGG+gQOXAbJ kZiP3RhwRtordzZr/i+mUOYCDyGXGOKNC/AihZApYVS2jDO3Ogc5+BusVuCt UEffuAMxgOYjyy6pVF2sveGSc2WkDTm17Rgy7e5CKbq0B7CjE4KPAfyGK/d3 fRNihLFSG5YDHAP2/cXBUFBOfBRWgiL6OWGEtmR/15LazIhkH2aQh18MQ5EZ EqHgK1IDyspS2turVHciHuP3D7gr948O2ZFB1DBfutSfERHAiw4mBkOCQXse ZHpkw7a1YdtBkkCmsz3H1YHvRpWyD4+PYYHMO1ScOl1oehgnmlfcWJJRmUkL Zz4nWcfnxeh0O2/E2DEE3tkF3AnFg14PWw7KnOqKYpOt6F5+CREXBsHUx0+m 13zpD5e3H8GF/2fA+bkKEKTMirJf7b0e2nGvjUv/aeZtjhEtLENkG1k3PxVw i61vrcak+kUmCMPj+W9wJJlCpEgLLK3KmF+cXFyegbXe8JgtqGnIzE8dNLiw veJIFV0d5f19dednJ59Shwud7uzsYo8qpVozba+ESGwUiufoInQlBRM4MoZf otg3UdA7BiUyvgNB5P5SDM9MljTVhmcoiIE8C5rHM4Kjsbe7LYNsSSUZEz2N SXgjgtdzvDfgSBBNcmeB7cZDFPs3BzxOGNw9OKnRfmg7YyBIus7+sYiEovCE Ir+oVCh69jvinsFJMeD/Ao509NUe/y7h7OI8PCMJH8D1CmC7irB2nPdyJHuO IyhghbVmOdowXNEiNy8/R4KfM/dVpjZuqCegSeAgMIZRUpI0Pz/+rR/up4Pu Stui3Ts88EuIIQX54P15dmy8Jd3DVUhwE2Ns2fZWYALkOHn6E0jB1L6Jfv17 pOUGi6DVspZyfqwgPDPSRejlJsJ2D9YdHi5cnC9fqlav9yxa9TrYgVa3FZhR rey5kIoNzAkWNBcrBspZgC5vqQUbny9xaf+iFvm5cStqL/j3l+pLLDsSRQgy 8uD8jqI+uBEEmMiP5wVldPZP6hDt5+dCrVZfqM6X1uZDY7lh0exrAyRwEB7H KypPXVqZPb3BeeBuPTm7KK0u6uks7eks72wHBKm0raVweXHi/PwT2JEeIjzQ 5/RSLwrKH211lUuObe/u49E+WDM6O9Y7NtAz1tvQ27SwtojoUj8FOk5UoJuI TggQ0MJ8PXwYJmR3KGk4FDsO89yL9Jzg9cjD8xcbjBEBzJlYFxGVGx3CDA/M rCz54GUvDFo2lSG41psRXSDNmn778GhpaWXy6HhVo1ZqND9wlrRvBbjFphbn a9pbuNE+NiwUZMcLCZH+JOUr+II108WRh/IOdk8tjZcmCtnBmKt8bVIvYTgx JI6dlRvd2FTS0VHT2lre3V2v1nyphB/BJwHw3sKX1eK4qMd4KI2aHccZ7YtH SzztuU7eoTRCsHd6RUZzf/Py5rL+PSQEltv0jPUU1BdKX0Q4CdysGa7uInJP f41OtWHQgO+BYWgIZrVzfrbMj2ZZMqyvxYzgXXISYAlBNLQEOzI7qkd2nT8m 4FdDpbokiaJ/s6X9x4LxmzUb9ru5zh7FCpK3DHR965reESytzhVUpEYphDej REYn+MgSxPKUgMbWcv3NeGJ6XXhaXkBMVG9neV93RV9v7cRYx/7eJ4vyDKEJ tIfHS5lViaQQEmBH1ixbR4Gzs9AloTDu+HTrr3jSOwyNIeJQ71g/MYiN9qFY 07FGRCiw7VMvV3BgyNMEFROyhy3TixnpE5kV3T3at6HcnlyY6xsfbertHJh4 R4ibm9BqNWr1ERwZUqvZ1Gg2buRpgkxDD48WF5an9fpjOE4ggk8F7Mf9srud EirB+NJJQTx6uNiZTzCnOb1Nimw59q8OoGLJsIp5EVxVkxmXHiAIJ14ntIXk SGE4TqinQEoQSgm+UZTMnKjBfjhrLcJgvzb2Dg+YEQHOfG8LmrslHZAWeyum 43OCk1eA8GPMRWBKk1WdnVCUxI8JIwZxHPgu2RUJDR2FubWp/WMte8rpy9Pl 05PFs9NFVyEWvDm2bEd7LqDZKGumsw3bHuOPmVyc1Gg1iJrsBwW8zKo1mpyy xmeOAkCHHthxXotrZ8P9h4n3A0dqXHqFcg+K14H09GcDtqk+OjmITpREJ4ii EyF2FJskCY/lVL/MP784e9toARChwam50ISUwuLk0eHr/OCf3wkq1e7EfFdw qq+RtymY9qUZQUvrw1rdJSyaRgQRHwO4leZWF2lhfjZMwjOC6yOcsykZg/Zh e/gwjUgupmQ0JEciYyxpOFsmMTJL/uk30ep1+wbvVKVhu3posNnefpVeantl bfJFQWl2aXl0Sq6/LHdsGtoLv51aDsEHcOVAcXLIjGI5CZzQvhhHKAP1W8o1 roMD19HWEFLbiY9y5jnSQym1tTkF+XEp6SHhcj5f6gV40TVHAkUUQQqSc6JS fQtr0l+2l4/PDOoRGcJXhNaQZ7G2s9VVyAQ7FzOypwUNZ810cRO7pZdnbe7u GL6g+dPp7rrLwPdzanN/93zo4YMJfxFFCOKbkF0DE30rG7JXlocbu6ttWK42 0JtjB2iYI98FHGB8cX4JUo32p4hDdVcBd9vJ2alfYpQJEffQkW6IBvxa1N8n rrT7dtS/mRBScmv1N8KBIvgMwNFR6tvKfKXe8hR/wI7CYti5RYrT0+N3/8DQ 2qMzi5193eenB192c5VOuw/HZw5O9fOQYHNqM0Dnf7mF/8+M49PT2ZUleUGW Ecndmk6ghonIYTRHgbPBYhNyDzehWNlzHAteFi6sLWpfRST7qEFkSDBxcLif WVSdlF3S1d91fr56nXhRo9lc35weGutraG9JzSsYnTREcUHG5idCd5XucKvw ZakV3eVtdgSKI8+ZFUzGSzzcRSi02K6wNvPoaG93d7O+Lq+gUO4fTROGE/mQ DRIOKldMCccJ8WQFY2gBrmSJIysYPTVn0LMgJgpfBXC3bii3G3s608uLnhPc HuGcHuKeV7ZVfcbV4Ek7oyI/IClMuac8Ojm1ZZIeeJrbst3SyvNk2dHmNCs7 rh2K52zDQrMihbgAvAPPzY6F8w6RHJ0cI0YLdwCcCOnvruhHjqz7N/Vrtpz7 9rT43OyGns7JhfnPzrqL4BpXYZHOjktqM8VhxIg4fnpO1M4unBD83c17W6ue Tnep1+1s7oy1DdayZYzo3NhbuexPC7grVZeq1oEeaUYilK2S6G5B9bRhEkzI zs+INpZ0JxTXnRBE8VH4cmP4sXlx+8f7+k/cTqrVO2sbk5OzQ8qdOQ2Uc3MT inqknJ2aHRmd6D86XjHEAXgzmxuCjwQcQgewXHKIL+hBY5KbBQ1jQXO1YTm8 ig8J6dQceI6eflhrhpVPgnhre6W4IjUuIygxKyw6WRISyw6MYQZE032jqJJI siicBAuRBFKCKILkE0n2j2GIwomyNP/B8e5v/bg/I1SXl8nFeeUtL+Py5cqD HcP25HMWMpUhiOvOwb5vgsyKjk8szNnc2alsa7JiuPglBhMCOeZUDwcexlXs bsu2t4ECZ6EmF6b1iOTwRwasG51bXbIhiP5hRH+M4t8UHz2059y3YRs5i8IV H7YpRfAJgNfH0/OTjv7GyZmh84sz/Z8tmq+Cg30RU4KJVt9ECzmM6ChwsWRY +yb6L6wt/undEbwTV/F7F+dD0hQ+8iivAKE5Bfuc6O4ioEVlpQWlyCXyaLo0 QF6Qff0Tzedku4O7RmXIUr1rKAd6/T4gS0nZZd2D01Aet0sN0oFfAjVozR3l 7Mpiz9hwbE6GHRtvQXOzZv5hjGRGdTAju4WlRQ1M9lU3F7GC0D4yCj+cwA7B wsVgd+QFSBFf6mUgSF4+kd6ANQXFsuTZYSn5UfGZIaX12WcflxUawa3gM1JI /OkFV7c3C19Wbyi3JxZmqaG+pCBxVlUZzk/wBO9iSrG1ZTmbU92tGGgTsk1k VpQemVp/cMAE6fDkqKKp3YEi+Zup10P7Kwf/B3acXy2Z921YVB/F8to2Ir2/ Rbxhs/d1B5Fap7vc3N0cmBosaylf2/6MPJsI3sTq1gorimvDdLWgoY2IHq0D PYbTultx/IRy/2nP1ZcbO7tzG1tT7T1tyTlF8Rl59a2wkzLSd7cJcXzEQ5yx o+BmXEF7UjAvpbRwbgUy9FJdqtY2lprbKqrr8xTpQZAlYZI4QiEQRZBga21A lljBGGYwhhHoLg4nhiv4UoUgOtU3LEEwMNapRxRtXx2wSdKXq7qufxyfn+nA JQOmBI7Lmuvj81/kVJd5B4sdudTHeFczCu53rJVXEOlSjVgv3B10jfZRA8Lv WTEBRwLlNxumibugpXsU0az9FdBdBSj7UrkQgm8L2KBodnm2pKnUO1hoTHI3 o7rYsh2XN97rQfx599HrNYNjswlZVaDUNA2Mz6wcnZwhzPa2AIfQAaVnbNg/ KcaUYoPiOaK4UHoRJ75r73gf/DWY2xwe7Pb1NPR2v0zICg2Rc8UR3qDAsiN+ mJefjBqVIIxJFMek+o6Md6suzs/OTk5Pj88vzhBq9KMDek80msaezt2DN0P1 BibHO/NpzIhAYxI6NE3ePtSBDM87A7UaEv7PL21aYf3+bkz5zZr1dxNSW/+g 4Y+Ijdkdw5VkQ4O4rd0qojLTPMQ0rB+msq3y7PwMMc784QD3197hIS860Ixq 9cDzSWRmAiA2ag2ULP5ain52cdrSW9fWW9/UWZVfnuIno4nCiYJwSL8GCFJw LCs6ySc+2S8tK3x9axl5B+4qrukuvEtqG+ydWV64uLxs7EWi4txBwCumcvcw ICbrqRM3o7DecBIZ3wgQ/Akga231JSFA8BjvQA7lwTPnrY8c7R+ZGZFh+VcB bttLtSax6EVOba5yX/naXw0Gt2Mzg2iOGdnXiR7gxg7GCsMJN6yP8OwQLD3Q gx7kwQxCc0NxqdnhVVUvxsd7kV67M/jTrtTpkaDKdxn7h5DXOTKcESD4eEwt TpOC2b5y2YZyW48Mn7uCmxaD8PHWzkZta0lEkthXRn0jApLBPJsslXND4zkh cey0TGlBkby4OLG0NHlvD3ZWRd6Ku4nrfQtCje4w/shQjwxkBAg+EVotEtf6 jsBglfSOWILwGa1Wk5AjDYxjiSKvbLP5BtmRJIpSUBBfXJRQVKTIzY2urEhf WZ45PT1Sq1Xvi+OBAAGCHwsIO0KA4FOBjJqfBDB3ulRfXqjOl9fnxZFkOESk bzRNnhYICBIoRUUJtbU5oDQ0FB4c7OpfpS1AgAABAgQIECD4GTA9OyKUEnhS vCCcCEXVlnrFJIpbm8u2lWtqtVr7ESktECBAgAABAgQI7gzUmsv+0Y7C6nSW wSRbGE4IlnPCFPz8IkVBflxNbTaiVkOAAAECBAgQ/FQwJJq5SMgOc2OZKLLD hid7q+pycnJkeXkxTY1Fk5P9+wYPOER8hAABAgQIECD4eQAzH8CRSuqypufH wDFgRLW1OX19TReG/EEIECBAgAABAgQ/OV4Fv7rSqSFhQhEgQIAAAQIEPy2g kICvGxohvAgBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBA8DNDp9PeDL8AHyOx qn56IL3/nQIMTK1Wdz1Ov8INtVpkMvh+gczVPwqQnvohcN1Hb/AipO8Q3AR4 H9SXF6pLlVqj+dZ1QXCNrzpItW9tnRB8D3jnbK1FiCwCBLeBS436eih19TUu LE7Bx2q1amNrRaPVLC3PKHc2vl0FEXxb6M7ODpTbc+srQ2MTrX2jnVrdm3Mv wqi/PuAG3z88GZ9ZOjg6AccnZxegwH/VGjrpFu8FZ0A4Pj4YGJsDRBm+BdLn 3xVAH20p909fvQN6hMd+r9BoNLt7WxcXp5dq9beuC4IPoXeoNSYjUKvVHB0f FJenhsgYA8PtJ6dH+4e7BSWJkXJBRn5MTIJPeByvoaVMp0fWwTuOtzpYp9Go 1laGVpb6VpcH1lcGFxf6AKO++Q3tDSHkG9HyEfyluFQdUMSx//MJCcOMJAri rLB+1U19gLdotLfZC+CC8EFjW/f4WPszJ54Fxn99c+cWb4Hg8wDJddUaiBSd quCRRxEpnruIyKL4uIzSvcPDq699yzoieDdyixQuHHxcfhayu/wOAffI5vZq lFwYEcerbShIy4kMi2bFp/glpgcnZ0kT0kPCY7nRCeLIeL5MIUrNCl9enfvW tX4TyKv1F0FrAGhZlep0Y210dXkQsCO4LC/27SoXwXlDy181vnLvcP/w5Prn OmRK/isBv/O7+0ddPS19A80FZaUhMcn/93/QgpA07Stq1Ngx0tg+ov8yGQIk hjKwo+n5tfiMyt7+rpWl/ur6Kjw71I0WXlzTodw9vI0HQvBp0MGmoq96lheU ZkMQUoOkYSkZ7qygX8zJ96wYTzF4ezapqq1JY9CJIwPyu8Lw9KQ4LvzfrtaJ +Rl6SFmDyJG+L8DJggdHOvyl5CiFKCiaGRkviE2UAEYEKFOUXBClEMYk+sgS xPIUf/8oWnCy6OT8xKDXRkQEdxmrG0qN5rqLdTvbsytLV9RoBZIgDQ2NNnb0 VZ2e7OsNE/XlpXp2cR3DjLTzClrd2Bqe7tcY5EvgVQHXuUUtD4JrwCvj1s5h Q0vz+urAycFkXWNNVkGeWrV7cnrR3jvBDUrDsUNqG1t1H02Q4L3GzQ6DqRE4 MTG7lpZXy/aXjY52LMz1Hu5OSONT/9tvnvesmSl5deAHSC9/K0zPr2YUNsSn VxphqI+wLg+wjs9JribeaGuaNyHAByPhPMI5xedlXoIFGDEd/A4AD8aFtRXQ Nc8I7pY0LCWAuanc1H+tzT68gmtvVcJ8RwH1hUp10dJTx5TiA2OYsUkQO4IL oEbRCaCIAWUKjmUT/JwxPvYrm0vfus5v4vBof/9gBxEifSFA+8Fkpqlz+J+m VDdaeHRKaXPX6NzCzOJ8z/bG6PrKIEyQNlaHugeqM0rl1W3lB0cHYKCtrG0/ RvF+Maf+x4KFE3LwAXbMcEL/ePfr10c66Nah8wnPlCWmz8/2AtKyvjq0sT4f mVRs4iamiCJKq8o21wZ3NkcuVWfwty8vzy8vz27+/GPuMT2/sr01X9dY29Pb fLA7MT/XC4sQm9vqy6qrVtaVWi0iw/2qgNt7YXmze3Bqd/+ovXecJIh9hOL+ ZsV+aMd77Mh6hqbYMxj2HG8zKsaEjDaneAK+FJGR9K0r/lMDlvhpoD2jBgyW 6Oz0JzhnCxrOlIx94OlMDRHXttV/6zoieDcuLs7i0wKj5AIDKRK/UULiOJJI SlA0c3RqQLm7WdNcPLcwAf3s202KMAFWqy+r6/Pikv2CYljtg03gpEaLbJG+ FC3dow6kEDDf/veH+P/znHTPih2emPiyI29utnvtlZZtc20Y0KTxiead/S29 YeyLwjKeOPLv23As8WRSoIcT14wVQciqTE3Nqxoam4TXYmQVvUWAtrxQqZOy KwcGWzbWhpYW+laWRzLyS0h8aWNLrXJzZHdrWLk9fXZ6qNZoLlUnBkng3Mb6 +HuuBo2ooeGObeVmRlm9cg/SmoGZvLy+B7wAHrRAiVSRV1y0vNS/vjo4O9sz PNLT3tPX2TewtLp9bZ6E4K+GgYhesdHmrhEvXgyGFUnxkUukOY5UyVMs7qkH +aEj/aEj1ZnNpwWFObP4DkyWPcvbnkP0DvGp7mhG9DjfCULT5E9wLmZUTxu6 pyvXy5zkbEpAFVdlzy9OXF6q/oqpErZ5OLs4LW8unFqc6BhqUV1eGOxFkfH7 PkBjbW1jKflFGGBHb1OjmARxWBxXGs8Pj+NWNxQ0tpZGKUSiEPz41ID+O1jv wJQem+ofGc8HvG57d/PbVubHBdyN+wfHh8enRVXtWcWNHX0TYHNaXt/N8Et4 4sC3xvPYUWx5nrSzr2p9ZQgQpMWF3v7h+r2dxcGxmYb2ocXVraScmgd2nCcO 3PvWAnsKnhBkj5ZYm3nZ/a8nRLqYU1SeeHh0oP8O3pm7AbgZW7r6axuq95Vj aysDK0v9y4t96ysDO1ujO1sj4L+rK6Ozi8unp/v7u7Od3Y07oLfmezfXxy7O j+CLgD8pt2YuLo6vr1lXnd7WVvEUy/aJjtWoLy5UmtC4TGlcUnBMik9YYqQi YwVWsy71T0110yXRKIK/Hd6XJpGLwtKZ/kngTdAbRuW3apafBNs7+/6y7KDY XEVmTXpeo+JFtQfX14xAdmBTTSkepmSMKQVj7O321MvViIC2ZZCfeaHvuTn8 3cHKkUM7Oz//1tX/6QAZIagvU0sLwtISwGd8bmqwItRdQDEmoU3JWDMKOj4t 5GVTcWNbeWNr+fBYz/WvbrkahuX+5Oz4RUWSd5CHh9j26ATaByE+Ne8EzCfP L87SsiPDY7kxiZK3CdJVUYiikiUp2eHga1FyYUFNxv7RlfHJV64zbGq4vDpX 11Q0NtG/ur4QlCQUSUmK1MCmtoqpmeGj44OvXKU7AFgCkFXSZObh84s57f/6 l+vfjLyfOQk82TJJeCbNJ+qBLdfcwyezIG9pqXd7YwQWIi0t9M3P905NdinS s363ZUMSfmsmOLhvwzJBkxwZriR/DytP1q9WXBwTcG9uSUXy5tYqQpBuBaAV 1zY3h0faQOMTuOFjYx2AFK2+Yi+ga1aXBzfWJ4dHOhqaqgRBsUzfqJQsWVyS ZHj45dxsJ+BOu8r55cXepfmuk+NtnU67v7fZ3FLNCvCn+fqaEjj3Xbx6hqFN kF57rlFt7SjnO7qaWjsaRkbbYU0roGSgLC/2z830DI+09vQ11jVUTc8v6xEO /JdBo9VsKLdPzs40Gl2ALA/NiDZGMx+44E2x7OcYbxMCwZzsZeKNgQgSGWNG xppTcEYED5yPpLCmpaCqxT/mxcu2QTDY1WpEzP71AA+H89PDkDiJCdHlnofd fQzqMc7FmGSgsmQsOPAO5De1V/f2N/QNtvQPtrZ2Vp+eHutveyhdX21ouh/v DxnMBCTyR2eHbv1GdwNXArezk7SsCEB7YhMl79SvgSJLEIG/yhRCcByeKApM FmZVJeu/EfMcnxxQpAaERbMAW5MpRBHx/OBYVpRCGBbNNrjaCWsbChGZ4SdB Y/BWu1Bdbu8cDI3N5ZW18oLTLLG+D+05/zAh/2LBeOzANXUTmrmLcWxpcmbu +urA+uqQcmN8a32osKLQkxVy35YFeNEDOzYgSL/bsn6z5vxmzX7qxDZx5YCT v1qxLTF8qoBaVJaE9MyX4FWsbOiY6Z/0LzOaFVaSW1IyPNze29e8BhuJLfVv bw7vbo80t9X6hMnpPrKSivLlxb7SCjkYIInpQfEpvkVl8vWVgdWVwe2tmfNz aCpOypA70Vj33WigPAO01p5GFsnGxnpGRnsmJvvHxnvbu5pKq8o7uxs31obA LWCjfXDHzbUh5ebY9tbEnnJCr7v4cP0RfCHi8194BQjE8RF2NLaVl8AMxzTx 8jImehp54YzwoHjC7OiqeGOfulH/ZU5OzKxVqRApwTcAPGB7xkZk2amZ5XnU YL4bn+zMI5tTsGY3euoZwc2Ng2UHeAdG0sNiOPVNxSrVuf5WeQu8WC+tLwSn iIiBbu4iG5yfozPfAiOxn1oYu9173RVADXJ5qappLJQliKUxHEhXlfBujgSX uCRfcoCbNMPv5OwY1oZ/zepeqi6m50fzKlJAPWOTfF/RORHsdgfORMkFWfmx 03MjWq0G6e7PwPLqSnbJy+6B8c6+EU5gCkUciyIGAuYDaI+9ly9FGMkNjE3N zt1cHy6sScuuUORWJhL9Pe/be/1uw/39ih1B5aE9G/Ci32zYpm4cNI3nxRHY eNKjU7L3D3Y0GiSw4GfiOpMIaMHp+TVn76DkzOyNtdGO7pakFzndPVfUZWtj qKunMVCWCDoLUBpAYE4PJne3R0urynzDRDEJopBodla+DFCmzY2xrY2xne2Z jbUpSWTkIzTd1IsNPu+5kB+7MZ64sKMSU0sqS0Gprq9sbKnr629eXx0EpGh7 Y3hrfRhcGfx3YWFkanb2/EKlVquRjv0rAPf72fl5QmF2emlJQW1dYELSM0+s EcndiIA1wuOfexKeY70ARzKl/LHmmlHRFnSMBR0sxLjnOJwxhuFMDuOHpMkz Kxs7hk9O4fX3Wz/bj4x3pp94A5fqS9Wlqmu4313EeOzpaEH1tKThLGiv81jQ WRSsCRkL/mRO9jD3diMFiSghvrWdLfpblUIsrs+Hpfnas42xEpSnrwP4xPs7 uwgspel+5xdnyLT8NuA2aeyoFIcSXraVl9dkhsdx3ydHAtwJUBGsyK6ytVj/ dS0N4HoeHOzGpwUERzMj4vnvrmGij0whmp4b/WoV+6Ghe2U4XdcyMDg2NzK5 SBHH/7+/e/7LlHLPivEvM+o9K+ZjFA/mPOD4n6a0B3Yccw8fYbBCFMt/hLV5 4u71wI75CPUHNQLlgS37F3PWvy1Yv1lD/31kzzZ353pQGeU1GWDC+NYP/WNj Z/8A9tTe2z+ZnlvQXO7s7a4Nj3QPDbf19DYtzvdtbQznlxT7hMlrG6oAhzk9 nARkpr6phiGJMnHhcv05CWl+bR0lm2sjWxujs9PtLW2F3T3lBYVxFkTWYzTj njPZBM/OqyhMys0URsr2laPKzZGVpYGFud7Jya6pyS5Yf9fX3wLuODbWMTnZ OTHR1dvfurw0tquc291dAiP1Un1xfoZERro1XBGki/O0skK8r+g5wcOeQTch eplRIFsjMwoaFLDImnhjb8iOME8xXv+xx/7H0f1XJ4/7jvhHLuRnTsJnTgIX Spg1zr+6sVePWIt9HHQ3cPOk/vVQb+9kMg0tZYkZoXlF8fRAlqm3O4qJt6Rh Tb3RbxIkMsYgU0InF2c193bUd7U29nYvbWzob0OwA8fkWdlachVYGgRHToAa wQXQJHehjY+cdXwK2SUiLk5vA4yRl80lnf2Nm7sb/nJOWCwnFgp8JHoXA4Ho B8nftX2oGbwYX1O/dv2SnJ4fzy1PF1akRcTx3iZy4Iw0lpucKe0baltbX0Tk SB8G3DTyF5X/NKUCVgPIz0N77mMHHvg08BzOr1bMe9ZMcP6RPfgTxwrr40oJ vG/DuO+IRvFtnJi4pw6C3205923YBtMjNoHL9w0T+ocLqSK+G4Vn6saBz9+z Yv/Hkm3ryaYIJbHJSdtKKPwy0jWfhPPz0+OTQ2FMOtE3tKWr1XDucnNjtrev ubKuouZl9ehox9oqpGID1AV8Hu2NA2pU11hD4of/zZjyD1P6YweWLDFyaaFn eqq99mVmWVVyXLIvGEfRCX6efOE9F+pDd5ooKmZ0rK22qRLFEIH/0oNCGlur Vhb7ACmC5UWrKwNTU12xyS8CZYm+4Qp+UBzbL5rtH83yi2b5RtQ3NWi15yvL A9ub09+4ve4owLQb/iLJnIo19vZ4TnR/fZ2Fl12siTfaVcCKzShSZFaHK0p8 I3I8WXHGLj5PHPl/NyaX1XVpNFrVJbJV+RyoX4V3A5+AVCgKokob8zMrkibm 4XCsb66Jqouz4+P9s9PD3rEhVrgv6DIzCvZtdmRBxTqyCXhfRu9Qx9r63PLK 9MrK9Ora3K3EG4R1PevK1fy6F1yZt4fYFhYfXREkkTUgSMNT/YcniPnuh9A+ 2MQN8QTsKCZBHJ/k+y5LJLE82U8cQe4cbr3OyvQVAK+kGo16b2+7d6wjviAy ozA2Si6MfpekC3CkKLlAGsORxnJmlyb10MuMsOI3odHqjk7OQcNGp5T9y5T2 EMX+xYL6izn9wQ012RMXSK32zIn/bwvGfxmBFZYGTkLLYnQYRkxEcdxNPT0f OuOM3ElPnGgP7CA13HMnthORC2iST6iQFyBAeXH/ECsZLJH+bcH6mzFWnpUJ BWSAlG2Iuu3PATfRyGh3Q33Wi8LcXxy8HrqTw+SZTS31mfm5ReWlIyPtgAsd 708sL/bPz/VurQ8rN0fGxjroPrL/8dgb9CBVFOVB8xEFc0sqkytrM2UKYVgM JzSak/wiuLouPTEj/BmGghcFtXTWnR1MSaLj/o+NlyPThxIgtSOLPdkB3oIQ wLLIwoiMvHxAkzbWhna3R8EdN1YHISPt2Z6JiU5AzxqaqyMVgYWl8rnZzpPj bbjuiDXgLUKtudrxbe3uJBXn2TKJ5lTcDamRJ2BHBi0b2oLm6cgnewXyg1Pi c6orats71ja35xY32nsmlte2v/Vz/DCApUabO+ubOxt7h7tppXJhLN1XwSlp zNs5UApi6O5Ca1eBFTXMs6G7ZmCi++0wj7MrS1NLiz1jI5VtTdyoYGOSh9nr 7MiYhH5G9HhOQrtyCb6RXJmcD8ZmTpGiojan5mW+RnMLMRlgMdf23mZrfwND 6nWTIMEcyUNk4ya0EsUxKlqLEY+2NwD36dHxQUlFWmQcLz7FPzY9ELAgiIG8 xT3C5Xyiv8vc6oz+a0kA4Oqtby4XVaRGK0TSeB4vGBcczYx9Jzt6ZUAVm+Qb HsfLLU1YXp39CpX8gQAaU6U6L6praOnt0OsPalu6Xeihv6CIfKncJzzxn6a0 Rw6cx+7MJ2jmQ1d6hCK1tLo8p6hIlpjO8ou2w/sauQgeo/h0iWx2tru3rzUu Nf2JI/OxE/WhPfM3aw4sKfrFnAUO7lmzf7V8XfVmB3m6PURR6YHB37oZfiTA A+3k5DAjW4HjCZ55sp56sP7HMy97khgwE0BpjvYmlhb60nLy6D5RgCytLg/k l5RIpIroxIzM/IKVpf6SqnKaWJCQ5hMRx4ddGxLTg+obsvf3VspbCkJTRKV1 ubvbY+CbAfEJDgxxav6L4ZHm0dHGA+W4cmN0ZWlwYb4PXHl6utvg4N81O9uz MN+7ON8H/gvZaa9DlEm5NZSaGSyN4Q4P1x/sLSIbk78I4H0ITUsQxkWQgn1s GN5GBKypQblmQvI0JmKNCZ4mROjgOdHjKcHlN7Tdv11tnuBd3cWsoOTY+q62 szOVRoNEUf4owK1U2piHFtsxwvGOXDPAJZz55l7+zpRQDGBHhAAXd5FNRUsR V0YOTZPor4JU/7EyZlaW0ML8QO/c87B74uX6huwIFGcuwVPkTfWnkf2o/lHc hFS/yHh+WXVmfVMxnNXry9dZMBLVanXncJszzwLn6wjKNTu65kjewe7guSRy jkqtQlJE3QTc/srdjdBoVlp2xPTcsDCWivNBSeN4bxhsA4IUFstmheKCU8X7 R3v6r8KR4FusbSwCgpSYEZacEZqUFvw+K6lIuQBM/nFJkthESXyyrzSGnfwi 9OT06K+u5NfHVUqI97N93fuFM0cn60fHC3r97tT8sCQumRkWNT43otcfN3f2 PnTg/O5Ke4yh/QdFNnMXWmElFmixOEw+NdXd3FYvDpVbYsT/84n37zZsqigq NTt3aaFXFBL7bzO6KYZi7EZ94gA5sl2LoW7Ko+D/PrDl2HpyAiKC65vyB0ca Z+eHTk6O4Or+Ne30w+HNdrierJYWxjx5wn87U595Mh9jGO48P3ZY5MvWyrSC 7PS8F3hOsChE3j/QAsjS4kIfOAC85fRwsre/WRAc+y9zprM3NzZJBEYHbKen SAtISg8C83BeSVJZZcrh7kRdcxXZP1QUEZZTGJOdHxaX7E8QsMKSUlLyswpK C2tfVnZ2N0xNds3MdGcVFgZHJ2GZIfesWcauAidSAJEn5QXKJFJ5sCwgLtkn LTu8riFzb2fx7HTv9HTvZuxuJG3i5wFutdnlxYn52bLml0+9XJ/gnZ8T3U3I HiZktCGcDmToC6lvvLGAMj3H4Z9ivJ5jie4CPkbCMQELtLv9P5wsf3V2euzI au+FgoUiHOnDgGfX/oluhhRPCHQFRAjv5wS4BCAYGB97QJnAMfj0DvbwiWe5 8i1ZEYTVreVXv4YtlPQvu9sDkmKfEVzNDb1jBtmMvUaQHFheaIE3yZfCCmJw Q1nMQGpBedrwSFtja/nq+oL+yxbZK9vd432wZEdnB7Ii8Hg/B6zE/g2CBAox 0JUc7OEd5JFVlfqlDXe3ALfhytpcRW02WK10usOiCkVgNFMa/xpBMpj3cGrr C3pHO0y8fyusz9J/gyF2XtmcH5EoeqerHZj2Q2M5IbEc3yhaUAwrNI4TkySJ iOPBNtt3RnL4niVG98bO5fq8/g97QgjKvYP4nILz89XTs5WmnuZN5TRgSnuH i5KIZEnUC15kXNdwB1YULJKmFJaVhsYm44RBz135z5z4gNv8zYhqjZWAkxKp woUcaIkWRylkiWl+JB73gT3dDE2zwjJvMqI3ym8GY6T7NmwjZ5aFB92DxqCL qHWNJfqvJY38HvCaneeHvgX98fh4e2tjUguFh1fJU2PNCSxjHOt3N6oL23d8 vAPFEP+XHf6hK10YGtfT26w5m11c6AWsNaugcGmxf3ikPTkrx1sQ/sie85s1 iyURJKb7JWWExBm052CwRMmF4bFcaQxHnuJXXJEeHBcWkxz4IjswWiEgi+ko KkualIj3EUiTkmSJ6VGJadJ4sEPJnp3pUW6ObK4PDQy0hMWlAs4MWPR/GdH+ ZUa3xpCDIlkR8fzACMaL3MjV5X44ztLm+riBrv/xfmre/a4ieC/gPHeNPV2u QoYZGfsA62BkUNaYkXEWFLwNE29K8XhOdH1GcHlOdLNmeNmxCPZssjXNmxzk Pzg1PjIzVdRQE5WVSg31Bd93EzJTywqQLvgw4PbpGGoZmOxJKo514Vt43pC9 XGupAFlyF1rj/RxRbEsfufT07KSgunBw/CqQck17S2iqQqKQQdo0b0ibBoqJ NwYqsIrNG/2cBJ18SvAwIqEB6fUOFGRXl96swxc+hUaj6R3rZUeKuTIfT4m3 u8jd83V2hPaxE8ezwJpeUJc5tTh+K/e9q1CpDnMLY0JkrCiF6A36EZcsUV8e jcwMppXK9w53v2atDN2lmpvvDFZw3IQ2YXHc2LfCWsYY4jVJ47h+kVSsyNaO ZTQ40bO2vrh/YDAJvhNiw+v39uT0+OBwb2pm6Oj44G3fCrD+9A42bm0t6d8i sZdqzcXFnl63qdNuAmqk1x+OzQ7yImOK66rWtyaPT8BPTukBMjRD6kwO/MWe /Ist6YEdGxCk3x2Y/zSnPrDjEPnhkQnp5TWVYI1eXx3Oyk8PlgkkoeLnTtz/ WEBiIthm++1i5s6xRHPBpQhcAV3EQ3mxHtoSsosKr5PF33ncfMy3pyBAIU6O d641U5fqi9WVQcAxzk4PdFpNbWOVqRfjuSfrV2dyVUNFWmHOP+wJkpi44ZGO y5PZ+fkeWVIqzScSEKTJya6BodbO7sb5ud7BwVYUwe+JI8sWx4tPCQNc6Kbq HJbEJqYHxib7RSuEoJDFDEsinR0W1TvQ0txRL5Cx+oZKj/cn95SjoKws9Xd0 NTa31RWVl1bVVfb0Nff1t0QlJFGEArJAmJGb2t1T2tlV1tpeNDBQY4hUOb69 NX189IfRy8bG8urq/Fdo6jsD3ashfK66aB/qHZ+f6R4dSi0tIAaKTMno554E KwLHkS6yp/Lwvr7kYH9CoNCRT3Hgkt3EDFqYL1cWMjQ9cX01sFbuHR60DvQ0 9HR8u2f68VDeXOT8OkF6Q0Xl6QtoklNKcTYxQPAQi+oYgNJQwuTkQqU6OTtr 6u3wjZbwwrhECdWWgbOhe1rRPC2oWNhIG7bcNgIMiuBOCfOXZaftHx3eirgV fnlG52ZNIBM1Z0eemwvf5e1HQPvYYyQoUpDb7PKU/l3W5gj0V/sUXc9AeUpm SHyyH+AbYAqFS0S8oKhcfnGx9fVrZXhF1HML3VFykTSeL44kS9/lwgaKVC5I yY/q7KnvHmp92V2tulR9/dr+NdBdW8UvrqxV1uWkZgWnZAYHRLBm56HZT3V5 PDg6urMPsdaLi4u6hmyGmIZlCNc3IZHv2sbOhery1XBT6/U7Ou2WTrel/f/Z e8vvRpK00fOP2S/7YffsvufefWmmobqoyy6XmdmymJnJsmXZlmRmZmZmyyjb kmVmtmXJzEwbqazyVFc1zNzpnu6auXHiqLLSUmZkRmbE73nigfvtTfNc93D3 0cnq4+PR4+Ph3d12WFrGGwT7Kyf6Mx/6M3+qMiV3aERrixW8RDCqWlrYIUn/ bkP7swPruRvXCRXEDU1hBSciWCxBGAdBE9r4CuAgSICRPsckax++bYDIFQsA KSinJKtdU93QWnRwaHz8FxBY4HSuYOPk9Pzi8n2ipdbukZS8+seP3BA21nT7 e8tXlycX5/tgA9DRtnl2Z3thf2ehW1PpTuM986dzlNHz84NvsWxxTOLioraq PjskIRkjVqTkFi7MDx3sTJqM45vrhq3N0eP96fT8wv9pTXvmysdzxWk58ryi 6KwCFRwSNtEi9cAL08lZ8vzSmLaOouyyorq2hrnZAVV6mh2R4sFxVmdLzJsT ps0J48bY2qp+cWEYnKVD04Lnqb91Zj9z4XuTBKk5svTc4M6eCp2+DaDRyvLw nnl62zRlNk6CxoNLOz7e3zIu7OxstLUWjui7OgYNWxZPRpiNYeUnfIs+Tnv7 L4LNf2VJKaz7xtfPnUMihUkY6hBkEAfKc8qA1tfeETGOJKoLme3LlAXH5VS2 aEqbm+MK8uTp8ezoUHaUIiIrpbqzdd209XtfxJdXLDF072MLw/2EjkSF/48C EqhomRdLjeVGSd+SkNYE/8SSXPgxTq8sdqLjcHIhLyaMHMpjRAixMhbk1M/E OUNQhHOgQREj7WkYLw4BH0T34+HjsiP7B+rPL85+rUu4ubkeHBtiQ6ZQCGzI jyyxATTCh3jj5T4DYz3/OzXbzxfAvLe3J4vLOjjBGZA3Y1Mk8WlSyG4hR2E0 QdPx7+E+f907UAkaE5kMmZj+qIU2LBGn50bkFsdodR1wYId/mpU1uCxtLNsh RN5EtlQpCWQI7BGiqdnRvf31iPgYKx+WN4Ne3dLe1JaH57KsvEUkPmd6bjCv osvGT2TaftL43Zl31u/udwEg3d6azs4BQR08Pu48POwenawzw6Nw0ohAXlht R3NkdnZVW9Pj4z5AJnemZHJ+ZG5pkhmc8BQc6RsnNjiyM1pmixC99GBj2UKp UorlQN79Nn4QDn1ig/Tak+eEDkaxol2xYfbIcCd0BEGQmJBTNzgy+yMBRv4Z jVUMk4todszYNGR7eXB0GshUd/W07O0ugqu9uroAXWMyTs/N9m5tjLW25+v0 jcaN0a3N8Y21kbHxtsy8KDcq/w2apTNoDGPdnsyg+pbigtIonICFk4YmF8Ws rQ2A7++apleWh5aXBtdXR/a2p8anxmXqeC8i38aPF50cOqitGRyozy2Kik4S gbcJCEGgJqQHNbfmm40TZuP4/Kymtj6ZoxC4MPwIcjByenOiCLG5wYlFCq2+ HnxhY02/vTWqH+mmiWNeunM88EJVvBRIUnFpsshEgaUKU7LkVXVpNY2Z+pFm gGpH+2tlteV0mZgokYmVivzygpeBjP6RsZ+5UadnZw8P/+o5Vd9j8/393tEB EHB8yOrvnLivvXivEQRrfKAtCf2XrCJQQCS0Ax1lS0G+wSGcqORAgZSrjAtP KukfmRoYGyltq+fFRMQX58L8CU/6v/f1fRkF1qXMLE+QFAEYmSf2xwx4Pqy1 +TgzEU4MvC0FNTpnmSgf7oGQfnZx0dirQQhpASKan5BuS4XMxixxq7BunAAX FtKSbQRDD2VFJQnrWoompoZm50ZvfxX/NcsjtLNrsiP5vyWCtuGQUj8AQp+0 nBSG8BchwzNVf/8Z/+kLfEuXV+eAmBmTLMopisorjU3PU8amSqvq0y4ujD81 bf2K0xn8Cn+8KHZ7ezuoa4DF3p+K8g3ruxIsIcEl4fjY9KCjk/1ft2H/4AKb YVuSgFzVdVcWNmaxo/DWAcTvXEQvoBiMArpEJAgVEXniZy6whz6byOOjmPx3 /kJ5pLSnv06kzPvGidU7BFlhbRh3Tk7P6bL06LQiMD/f38GrbHv30Ofu1fV2 TG5ucUMtICLLQtvO5dXWyekmSqQgBqu295a7tb09g72NnR3fuXAA7QA0wrBV rpigtLy8grISAD9uWKEwTELki1+68954Q3qkTwJIWpRLQi9CcF5pamZBcnJu fkJOPZodLVbm3t390w7XkJr9/qGsrocflg3HjNo9gIIoyqKK0vIKjw+mDqDg ig/ra+Pa4cGy6gwgjBRXJMSlScHDPD/Xt2ee7tCUxqaK49OUNlhOaHLK1cl8 eGp6eHJcXlG4KJxLkUcsLOhIcjpJ4T9saCpvSpOncNdWDdumSf1oW2VdekVN XGKGwh0nSM2KG9bW9fVU55fEFBTHNDTl9PVW9XRXgNrVVdbbX1ValRifLquq z5LEsQOlbrCVBT7ER6giRGeFzMwPmDbH9rZnjMZZT2LYf9jQrX2FGLYUyE3J mfJEi3iSmBGSXahOzoTeUyDFJGXKq2vTEzNivZkiWzz3DZpthea8xbJfIsgN HS3g3iytmrQjcw3t2rPTvUHD7MrGTkRSeVf/WHu3ZnJqqLhG8/hkj/UvVmAB Abz4QckxAHuo4TInMt0aSbPyY78NZDpQCA5UvAP184g6OGcmzoGOfkcJtCb6 P/dH2QaKWMGZZXV9v/cFfakFBqT5tZlAiStTjaOEIwEj4S16GLz8U1jy5KKt CAhFirqqvaGzv/0R0u1fD4wOxRekIUQ0jJQVIKS6sfDwghpAI0++jwsrEAZd ZwbekYb2FdL9RYyyltrHX2/mOj050Oq7GaogOyrKnY1FSPyfGAnekMRL4/Iz JhehxbX7H57U0oZ/wffv58vD7e3NweHu6MTA4fHe6dnxyemRpq++sCzx8GgX /sLTV6H5+zMtzd8j/n+iTID/O6jvVCfwP7c7+rgCWViVxGdHYIvqM1t6ayan dbCW8ksfXy+vTuVp/ACRk7/IGRvigZVi7QOE7/z5NLHYiyh87sZ/4cb73kvw 2oNv7SOwRwi/dhKwgoQF5ek+lGiwf3J27uLyWqzKfRcg8cCHSdWZAHvu3tPR wcXl5sP9NthT29E0tWB4fDwB/318BHX39s7sy5HFFxRe3xjHZ/TL63NTcwZP gvy523tLbBQzAkFXuKB53kQxaM9rSwBt+E+vftRI2x1U3gs3ritWjOeKCyur QMPga3x6Xm5ubxfXjbe3hxNzc6tGaD33/kN56kZ4Ieb36Yy/scByemPn0P+0 IgnCEoiCSG5I3OPdoTy2lCRQ7W1PbKyNnp5dnp+ZS6rK2cGxpZXxiRkywEjR yeLapuwd85TB0BKbKsktiswvi2arOIuLQyNjPcwwVU6ROjE9yI3C6R5oSyks tCUhSApvYmgAXREYnyWv7ypeXh5qhGIcRdTUZyZlBgNhp1tTph9q0g01DvTX 9PdVg40hbb1usFHTVZZTqI5LlZZVJ/f1V+9sTWq0FT2D1fwYIjoIdLgfkJ3D 0gQj4+0A2BrbCrS69vjMdCtvnjtOFBIZnJEXkZWvhJW6gJEqalM3N6ZGJjXl dUnRySoXioWIApng0wrNfoNmWWO4rwMY3UNQJOfmLq0jUvInO3prZ6Omt7W8 tj4hs6CmsfZwb6qmofbfXhMaO4Yf/yXX2t7Hdrg4T68sJodLrQkBjnSMExMD Ph1okC+/HYlgT4E8+p/0SB9Vi+M/jeDMxL9F0b51Yn/lwEwtaO7sG19eN929 f5t+5JY+fCj/8Mv9IxdLqtmri5iC8PF5Q3S+Ah3kARntyAJQUv+PGQkb7OPO QdpTMZRQvjcHPzYxDGT865s7XrTclYGyp6JcmZDdkReH4MrEubIRXgJvZyak PrLoANFODJQHl+LFo6WUFcwszf0qHQEfYW51Oa2iEBnEeY3zs6VgXJhoTLDF 7kjmC2DJjY2Gsp8wcLzYsMHRwQeLDeTDD41Xn4bc//14PP7ETYBVs0/bn7xi YHt/3/yxz9TfUwCS6acHr6+vno62YVyOS5XEJH+eYSTYkgAFyKohPCWWGOoX mRcakiaALc2+3PLwPvbCcVxWbXhiCT4YS1Kg8SGB+FCvQC7lrY/QHSe0Qwi+ c+V/7FYPsOS5Gw+wSiAj2MpXhOFEF5Qm5ZcXIBjR/2lD+caJmV3abLE12nt8 PAR0NLs8Vq9pOT1bm5jX7R+tgJ33dyYLOO1eXpmK6qs1Q91n55sTs/qTsw3w K0VC1rdOLIdAibUPFAHyOxfOc1fuG18WFG3bYnr0xguioM9W1t5Xe4TAxg8y UvrKgfVftsxvnDjWPiKCIGF2cf3pqsFzVdzYtL41vbU916DR/MwKKfwE/vHf 1vv7u4UFfU9f2655ckjXtbI80qoZeOsrnJnRmoyjpq1ZncGgH9GQBFGTU9qT g+msogJxmDAjT768NDSgrY2xLHBPTvdk1yTXtGbtmSdyywsjUyLSc4L9WQxp XNL0jNaLTcfIfAgWp2NuJIEWgcqtjtlcN5iN4/XNOTGp0ow8Va+2edO42NRa lF8SXVga29FRAuhIO1A7OFAHaremoqk5D2zoBhs2VvWLi9qEgtD31qeQsOxT 156zsaZfXBhIyw/PKlSVVUWhmSL7QG5ekTKvOOrpxQQvoyqe29BS3DPcHprK IQXzHckSV5rIjSbyYEg8mRIvltQOL/izA6Ouufn2+vjq8nh1eSQyOeeZCye7 qPRgZ3J/Z3JhYXhlWQ9uF10aHZ5Y/vgHdkiHn7/f+iG8vb2r6213ZKAB8DhZ 5lNHS5IROB3tJ4BkT0PbU6HVNyeLfYszg+jH53nQ+b6MYCQ7Miaj+jdt6uNH S+S/9Yn+8eXs4lSWwiWG+rPUWKSE7ifyw1tW3AAm4eXgBfRBB/k4M7A2JKQH h9TWAwbbx5nlyaHxMaN5I7um1I6KsgedxcC4sgNc2YEurEDARXCvubCwtlTf 8Iw40+6vaeUL98LSxlpCSV5MQaYoJgQrYzvQ0AGiAEKoN0LsD56TtySkFcH/ Nc7Xi0Ns0jSCH919eN3Ae9c32LoLzez/u3xaPqzv3N3d3z3NU5ZZ6QdgqZ/S TiwYhobaurtrnzx5zVurR3+jm9vTZLe0NFlbm8WLJPJiKZsWG2Nw2Juba9BT hWUJFrPS4CfHuvhUaXSKKCZVIo+hByVzWvrrHi20f3N780Xb4cO4PrOw/q0L 60/29Ld+3HcBEjsUzQlPee76PrXHC/dPFTUvPfgOgQIg11t5C1HsmKTsZLYs 6KU777/e0WwDJIMGOPvD3eTMSEdv98S8obq96epq6/x83aI1gtbaYDo6OF6r bm9cWJs8PF5ZWB23rMGdjk4PuRNCoNxqPkJQv/cSwPWNNw8mIoBGgJG8CMJ3 fp8yEmjwW19+kFIiCoNc2Phh6fSgBGdMMPjT//0ci+cnDBrmDo/P7u8P7u8s LbkzX99sAWA7OtkGkm9T1/CQYe7k7AJ+SGYW1wuru37fDvrry83tbUfvgNk4 trqsN26M7O0upOVXVjfUHOxOra+OrK9N7JgnRBFJpdXVJwczgJr8qAo/Cqul vXhhXgue8JgUcUNzztLyGCAcgB+FZfFF5ckAmRLTQ2IzUyan+9Pzony5gZhg z/eBWYK90DLPyGxJbnVsZ295RW2qVt++tbWyvWNsai+NT5MVlcVpNGUwFz1V WJUEPltaC0orE4LjGeEZAqLCHyXzxAZ7o2Ve7Ehct7ZqdKytsCI2pygyqyCc IREzpEHNLTkjw83lVcnwmiCsRIqxRAgZG+/YAgS4ObqzNb5jGp+b005N983O aqWxCSiBIjY9p3+gbce8sLdnXFsd6+xui0zOXV8b2Vgb2dwwbG2MtHQ0eRBC wAM2Mbv6+Jnm/3csD58FA/yk/H049/DxP7d3d8yQNBQrhiiKe+lLsMajbKmB DnT0h6wi7yvESJDKCHKG8uRSPXlkFzYgJSSYCh2hKEkoJybGV0T1FzMFcarc 2grt2OjF5eX7E30YeEGzt7c3jg63jo7MNzeXv9b4+c9ESnd3d8adDV4MMSQ1 wpOLQwZBWiNMsC8gDVBRQb4eXCgUpAsTb0UI4ESGNvdXBYi836CZY3Mr4OdM tdyWjHBhBrixAx0gsv14hRRnS8GkFqcd7m8+/jYSwdLcsG6wnh8ZBIjI8pwg XVloQNFslSQiM1EQr55agBJPwHR0cnamn4aSp7R31zS0Fq5uGdu0fbe31yvG 1bOLiy9CMv0tCnzVhycHk4s/YkI5MTk4NAStq04vjVd3lm6YV2MLw30EDkEx 1N7e+uvrK/jnK0tT6iSBNJF1en7yN93Gq6vzgYGW6qr0rHw1PQITksLb3jd9 rCiYntVHJwkSIX0RNBSn5oTmFkfHZwbTwpApZTHmPchH45/DnR9+QQxTS986 s1558Gz8JIBzLBAieErbAZDDNkDwibPYO3+wh+eICnJEyV66s195CL515qLZ 6tXN7f39rceHm67+sXf+oqKaTtPuMmSbDaER+LSg0QPk2nZ1bZpbGTs4Wjbv LmztzAFeAk/EgKHfHiX+Txvac1fuSw/ed67cF25ccCKLWRGESbAXvwdeQBKI XLGAmj4lN0eUICRSKokI4oUEKeJST06Pjo5PwNxX09KvTC5GMtXM4OTTM0sb 7rfv7sz9hv7MivKqNg2SFfW1A+PP9vTUgkb45hjN+2640NjMmu3dw8ZOXQBD DfDp0ZI/5ffssx8r8KOrHZnJLSlbmB8ybozOzw+bjKPbW5DpNQCkw93Jsprq IHXK3vYEoAiZOuU7F44DglvTmFdUnhCdJErOkheVx8elSmOSRbGpktQcRWp2 KHj4u3rKT/bnGluyM/MjI7ODsiqiMssjAyVuUKTcUD8Prl1uddzy4tBAX41+ sHF0pDUtJ0wZxwFH6+ws6e2pHOiv+YSRtP21oBaWxpZUJk5Mdmr19YIoEkeJ YykxlNCA9t7SqWlNbUNmTUt+dlFMfDoAreihAegg/X3VZXDqnw+h7BMzQkA7 Nd0VXX1tRbWV2eUlsTk5ThThq0DGWyzHiSwYm+wBLFTVUAdAcXlppKG1tay6 Ctwc44Zhc90wNze8u7O4smwQRyQ5IGUMWer19R/FYPuTxb69o8Prm+vjs1PY YfZ/adaA9S33t7dXn+20rLKdX07Nr1U1DyRmNwiUaf7cIGcK3YlGBHOcCxuq ziycEwNvCaONtyWQfWkKFDfcnSL04wq9eUwATi7gC0wMwCpASu/ISBtS4DcI N7xcDM908Plub2+ur6/7++tnpzXrqzrwcG5tTt3f/823/frmZsW4AT6XN59C Jj7plP72e/NHKvCYXNaaF1+kxsnFNiSAOgAz0O4ctAMdZ0cFLIqGzK1pGCcG 9h0FRYsQsSOxTlTcq0COG5Ozd2S+u7+raa9AShGePITTZyG1nRiYsrb6/lG9 cQdSIv1aBPJgCTWwvjY7rK1XpkXZkAEXQUZQ9oDQ6DjAcpRQfkN368c/GZ4a BxUfKjLt7d7c3hSWJWSUZfmK2FqdhiAlpVaWPv6Blbq/XYHVRKNzOkpYIC+a dHgImRtNLIwOjvcenRzodV2NdTlr6wulrQUkRUBElpQbQ/IVOgbH0gcH254O MjU5xFfiaEoUOM7fdPaTk0ODoaeyMrWhNju/OBYpdVdlSn/QPCh5162mrx5M E+oEQXN73v4BoNnTipZ8hgoDC5hfvs/aX6Q5sLG8Zpao88AEYR8YBGjEspoG fT5zgXhDqpQ4IgUv3T/V1VgiEfEsQCX4zpWHoIuVySVDhoGC0uiQ6HRHVLBW D0SDc4A9l1fG07O1e4iR9iEQeoCsj25utgAm7R0unZyugZ33D7ud2u7n/rSv XKlSdQaKrbINEPuQQ51QQdY+QnCW/7ZjfOvM/sqB9dLCS986QQt/cDP+svYH /ZcL8AnDFrJlYnWiIiU7bHr2KRLLMSAicDpIVfWwA1tAPT4eTczp8UEqF4rk G3c6ODggsX7djBHKcH2fV9Hxf/y3f0JOHZg4/s9vkOAuPf5lSPkDDcTwA5lV 0qZKzAEIBAAAVFhPsrFmMBvH5ueHWMFxU1MDx/vTNY11Xzkyn7lw5ZEhSRmS 2FSLTiZNFpsieYpZBKX7SRZV1aXtmqf0I83RKeKJyY71Vf3qik6RxvMVOMKR 6xhhqKKK+PnZPsA8Q9r64eEGWOlaAC2uFUM7B+o/ASS4dnSUDA7VtWmKeWpC eAIXtAGQD4Arvb55ekKj7a+bHOve3d08Pjkwbq3odW3Dgw1gZ25RFGwfCN5N +EQZeeGZ+VERieGSKIUkKkISpVKnpWSUlnBVMV/7UMgh4fvbk3vmiWFdd3VD 7dRUf0tHU7+2Y3trDAASuDmKuLz69t7Hx4vzi+t14/YfxAYJfsCurm86h7QJ xblByTEEhViVkxYo5dR3a550XJ39YydnF49/1RwHfeHm5mrLOLVtXoDcMS5P 4EBY8AR0fX3e0KFNL2pOK2yWRRcxg9NYwRk0aYoHQfHSk/mNO/6ZN/oVEmFN CIQslBhYBxruHQljjcG/RdLs0Xwbf5FNgMCZILDD023xRAcqgCU8K0pR09Ue V5h9eAw5Cxwe7plMaxpNVU9PHaiVlWm64ca1leGtrZ9MN/wz13V4cowJFmjH RgmhYuMOtDSztf2DpYQvHZaAzH52cTY0OV7UWO1Aw77BI2wpaEBHmCCWJ5cM 6MiHT4HjGqnT1T5sjhWG/RbLdaSwedFBJc3l4NLZUSHPUU4uTMwngOTMAMfx tyUj2rSQRf1fTyCWOeMXbui6afHm5nrLvNnYWhyWrARtfh+CiYFVZsRUNpXe QmsuD+smMPg/pJQXcmPCOdFhlPAg8N/ipmp3BsqBjg1Li8XJWC4swv4xlNb2 9u5fK5eQxd3mrr2zUpkiBEKoOI6uzgkGMilLjWOqcaJIUkFVijSJTVIgovPD wB7AMBGJ3MkxaJrbP967vrrs0zZjJe4h6ULwX7DTMD20avyFbDLwn+bnR2tq MvPy1OXlyTHp0ohkviyOiQ/xVeeGTC9P3EFRBd7rtFs6ypOyggeHa7fMkD6w Z6TTm28Xmia8vrHor77YF+/u/v70/H3gi0+SWK1smN/5S1568GBFzXM3vi9Z mJQpY8kkYPunDH5ee0GVJBDxQ6VEnkCdKPWnhgQyo9eNJijF9OVGn17b1N2+ vjV7e2taWJvY3V+AsARaTdt5gMJIQpRydwu+fJZbXeHNCu4ZHDg63sDzowER eZNCI5OzG1sbBwY7Cysqm9ubSqrKfckiDwLbnUzG8/iA3J67QnnZLN52fCsf gY1f0NdOfBe0yBUjtA0QeRJkHHlyQWXHxOzE0fEKrMiCCO1h+/Jqc/dg8fB4 xQJsZ3qA3KpE+0DpM2e2CybEylugTCw8PjkD0AiOPDG7EsiMeubCXt2ARuPP Tef+Md33UwVuz97BWVFl3bZxdGlxeHPNsGMaB3QE6q55Qp2UDbgI0NHMjNYB KfXAh+QUl4rCguI/ilzxccgvQCzx6UENjTnagVrIALshc1Bbb94Yr2vPkcTT 08tUNEWgOlmQlBFcWZ0CvgNYCDBMQUlMdoGqs7MEbA9rG34UjcCfqmrTYiFL P0lVQzo/hhQgduFG4msbsgb6a2D9EsCqqfGOhubcoorkqobc5KxQcOSW1oK+ 3ureniqAXhVVKfFpQTDRxaaI49MkGTnB+cVhxaXhVTWxA9rKxYW+qsZaJ6wo syh31zx+uDu1sqzr7ms3boyajGPgnkCmU1tj1Q01Nn7C4JgS+Db+EQAJ7sq+ oWmkQAZmFk8u5Q3Oz41NdGHhvvL1CIrJfYSMJy84oRl+VNXh8ZllNPplm+er q7OtzYmtzdHVZZ1xc2J9dQTw0vGR6WB/eX19ob2tpKSmhRWSjWKG+xJ4QBKx 8hF5EsPoslR1SlVKXnN8Vn1ofBFVFutIpNuRsTAmOTOxTkzMW5LfC0Tgf72j /dc7+tcOLGsfkbWf8DsPSiAn7Om1ODjYrqnJ6uwoWV/Vzc50j+ibZ6d7lha0 G2v6rc3xk5PtX2Q8+M/wbA5/RudnSRMT0iqKIvPSV9a2/WmqhVVjcHSh0bz3 4U7+/r3595dOreYd0S+pMB0bIvTkEAf6aunhQn8BpbAyw2IDhvHjMxyJQmsI kDiAkb7zozqQeabd3aY+TUpZkTefZk9Ff6JBcmKg/cSYjOqM07/Ovejh57NN WT7PL0+0YwZ8CKltsHHbtFhdn+dlATkbMvItCYrafX6y9/QTaXJMSXP91fW1 G4tgR0G9xvkmluTl15XbkRFeXJIzA4MQUt7g/aNykuEVWDBtPWHS3d3tP0O/ /mwBT3hXR2VeYbQgiiSIImJknphgL2pYIErmgQ32AQMmRYFQpAnJYYhAqVtU imh1YXLZuBhTEC6MoSbkhKKl7unVieC93tvZqmovRohcxudGHn9ZsfNgiSO3 PD832t5all6oYqmwpFB/Yqi/n8AxOIV3dHr49NXdfbNW1/74CMU4Ao/H7d3t 9NL4wtrs4xf+3q1uzvcNN5rMSzu7q2dHm6Y989LGIoBC8+4RVZry3JUD0xHg DW+iMClDRuKLX7j9ZFIPeA3OhyRUxksFoeLwWJm1DxvDiTi/gNT4M/OjHoSQ 7LK2ifm5vYPltv6OytbGqyvT/f02vNAGV0swyd3ZpbHSprrD4zXwBvQO9pKF kRRRtJWPEDDJW1+RRJnS3N5YWFGenpcZmxYWlSwNixOII0RSpZQVJEEyRE4o 0GyeF0EcHp8gj4k/Pj28uz0zmkzDY/PphY0iZZYXKTwypdCiwjqEPh+g9bWD 49WWvvbo3DxVWvb6xpJ5e9kdH/LCjffaEqb7a0fG3OJKYVXn//UcE5VaWdXU //+8wiVk1z4+3FxdnV9dnd7eXt1cX/wRjNDgZ3Jmcb1f25FZWMIPTdpYN3Ro WrY2x7a3xvUjPYlZBdtbYwe7k4rYjH+3oelHuuua6r9xYqsTg9Jz5VkF6oT0 IEsgMiiERVyaFAAJ4JCBvpqcAnVSZghgHt1gY3tHsSpJMDrWVtaQKo9hhsaz ErNDdIMNT2qiuoYsmJTAD8HG54tr4CB9PVUpWaHZherpqe7symhfoZMoltLU nj8y3Pxkp9TfWw2QLC5Vqk7gxSSLKqpTAFNV1aT19VYNa+sh+hps6OosraxJ HR1tG9LVl1Wmo/g8fxYbyWVjBGxfOjEqPfHqZHFhboiviGPIYg2jvbvbEybj KOCiJ27cWBs52J2anxtkBMVI1PmmHUvax9+7HwGkVTb1AUp/5UNnqBQeXJIL k+DJpb/G+LEUCSenl0bTHpIZ9cZbuLQGxIq/SgNwdXW5MD84M6Xp76tZW9Et LWq3jIv7eysATubn9L09lXporAOnv25rK56b088urpfXdSbnNwTHFKK5UaCG J5QtLJlOT684URFOdDwUOhKy3MaCCZoaJo/PLyms7lKllDOD00anllY2tnsG pw4Oz+4++ISaTOvFxXGNjbng7CbjuHkLoNrYyvLQ/Jx2fW3y8MD4+U04v7w4 sCgQPjfEAnMlOHJ6Vcn3WP+kwnJHGiGAGc6RZ8njSlTJ5UFR+eAXsELp7OLy 1+qaf3CBiRcOvTIyNrC2sYyQcjsGe+Ymu9OLU/r1vaP6NpJCZEdFujPJdgSm hY6gaoPj2uL5lLDQ4NTouMIsdw4J9NEnSiQXFt6BHkhVcc+vflkDefdBjp6e 11U2Zx/ur38y4sHTbkNvhQPV9S2WiZb5iOK4SCnXhhTowsSJYmT8GHFTT+3e IZBDH2ZWFgHhjC/M+otZp+fndLXc8jWCDQnhysJDEgGH4MTA+QvILkz8O6J/ a3djn0HHigwVJ0RWdrb2aFu6+yAD4H8OE5efKrc3123tZRXlyRWVKfwoEkHu F5HMJ4ZC8dUJcl+WEsNR4cmKAGywd3SaZHlxsn+sG2AMSuLGVmIDRC5Jhcq1 ldmKylSuCkePQK9sLj7+dC9/Llvt7ZuLG7PzqpKLqlLS85VcNZ4ajgQwVt1W ZDKtnV+cfuxG90Xj0Cfl5Hh7Y01nNo6vrgxvrOqq2wryatNmZnv3DveqGzvy Skts/KTwEhvAA26IJIAq+taF96kh9I+RUiBdyA+VvnDjMKTq0zNAIA8VDU3f OjOzS9vmltczKyoK6qpqOpoBmdzfwZlH9v4CSA87a8aZxbUJy7LXgX5i2AUb 7I4LlqlT5+YGO7vb49JzSQKVFzH0rZ/omQtAOL5DoNjKW/jaU/DWV+CCESBo QhRT5EUUOiKF1j5cAl9WUtthmJq/vzv6cOlXZ+d7s0uzHdrurqHuVeP07a3J YhMOzri3c7CYWVouVGVJovK+cmC88YJc58DxX7hxvYiK+Kxq+0Ap4MaS2m4b PwmQrPWG3h3TxOb6mHlremtjfHd7/ux09/fs18f3eoeLi6PWzubvXLmtna2V dTX1LQ1rq/r11ZGVZd0q5K41MTrWSxZFdfe1LS0O2wYA9OWSBKLEDHVqtiIh XZZfHA02opNFhaWxgEAgmOmt0nSV9fVWawdqdUON2fkqyJB7URuZIQYiTIDE tbQ22TDU/MRCMP8M9NcAyAH1B+bZUK0Hf80vjkrLCd1Y0++YpjhReGk8Xadt AAd/Ogj4YXlVcnaBqqg0Lr84pqAktrOr1AJX70kM9olraytqby+amYay5W5t jDZ3NRXXVlY21VU21ZbUVTlRuOLo+LWV4cuT+ZKqKiI/UtPbBtBodnZQ09cO Z3kDdwZgkmnTsLc9kVNcGkBXNnbqHn8/CQjWX/Xrpr8FdOTBc6VwwPTnxiZi pSG2RDxXHQ3oaGFlyxUrtw2QOqKCEczIqw9GU8enJ4vrqz915KOjfYNB09JS 3NlRAshkbrZvY210DTwVKxNTE5rlpaHLi5PdXVNlZYZ2oPHy8gTs3FwzwL9N Ks2zISFfo5A2WHIAX+zFp3hwyZ48qiub6AphEiYkNeH65uanTn1+fnB2und3 d2M0Lnd0VMzP9oP+sqz8Qhn0wEu0u7N0cmy6vj7/xDGneaDHnoouaqqD/2vx 4bmvaG8G4ATvKWmut8L72hHITnTiawQBK4i0RwuqmwfQ7Oi6tkE0O2Z6YV2i yteOQHaDgKm+6JF8fm21Eoro9WjQt++YV8CGbqyToRTYEhn2JLYtgfEESNZY ji2BZ0fgfhvg/xLtAdjjEzpygPKMIL8JcIvMy3z8pWUX+K9ag6aqJV8cSUgr Up+fwXLEpxF3zy5OuNGEdwSaB4vgzfUHTXJn4QMELK4yAhtERko9yWHk2eUF Spg4oyJPo9MGiJn59eXBySprS2BJUGGQg3PsQnvoUBY5NxYOPAagwXYUlDMD D6gJJabsHnzZgQd/sZyeHrV3VNTVZEalSehhyMq6jIhUIVrmCRiJFo5kKNG0 MCTYyMhXzs6M5NamBoicASzBAeUyiyI17RVpOWHEEF9RPMMwNWQY6d7bhYPb /9wdOzo+qOwoFiey8CG+gRLXAIkLTu5LUgSAw2JDvJFSd2EksbWpsKE+d3pa d2fxqvv45/cP938EXcHfU4DMaDGMNGxtjK2u6Nt6K4wbhqWloc3Nma3N0ZrG WnsU7Xsv3pM9D7xu9bH1Edhp5Q0Fr/7EHsmyR/Dvb2kFFY1n5+fB0bn//pZc WtcDTtqrn3CiiDRD3RbVDQCJM8BCO3sLlkQkZgsv7XyouweHqxx5Ykh01lcO LB9yqGFs8OEeGnsBbtHEUTxFIoat8qeGOaNlrzy4z1y43ziynrvyvrOsskHq LFfGt0408Kf/fEf+yoFuhxDTpDEp+SXLa5NgDgGnOD3fAGfvH+m7uja+VyW9 1yldaUf7RbHJXkzZGyTnjT/vNXSlgq8dmfaBMqYs+U92dJokHsVUO6KEPQNN ZmiZxuIJtQ4+9WAiPjs//KXb/xsWWI3QOzT5X3Z0RVymyTjV1NE+NT3Q2d26 ZRzb3hozGUfBxBSbntfd1351Oi9WJrtgZHYIkbWvgCaW5BYpOjvL9EONxeXx 2QVqCFS09e/NirQNMOoALBnoq2lrL8ouVJfXpZLCEYJoEiCowY+8+MEX+nur wU6w0dv9AwttsKdbU1Fdm1bXVDC9YOjVNU1Nd0VkCIITGADGPtE19fdWDQ/W w5QFmgGwqr+v+mOVFNjf0JgTmyJJzwvPKlBlFigra5JKq/OSC3MS8/KjsmIK 6xKzS0sJfGVDS/312fzc7OD83JBpc3RlSZeQmR8enzkzoz3cm1pfm9oyzm9t Th7vT/b0d9S2ah9/v4EXdlsDGKBOKbdC4xxZKJRUQA1ROVFJTgwMOViJ5yW6 Urjv8EQASN+6sLq1kydnZ8l5jbLYbJycn19f/RONt8SomRtraspbWR76wCf6 +dm+9VX99JRmbdWwtjo5ALpY2wCIZds0VllTKFamF1Z3dWsnhsdmKbJIOzzV hUm2paDsKGgHOhqey5yBjE8K/DrANTwzeWtnB47C+vDD8Cynp7sm4+TW5vjO 9vze7jK41eCV2Vw3wDZgczM9aysG4waUYubu9r02Y3Vze3Ju7eT8FMyS3nxq z/BYUGQBUiRZ3FhhRSkSSvKmlxY0+sG51WVvPs2BhnZiYh2oBGsUyRqLxvHj k/PqCYIETmimM1oewJERJOqbmy973H7qUzAHXV2eza9OJ5dGC+LpQDr0F2Dc GQRHMs0Gx7aojzjfo1gIQRgQS/tHDexoOeAKVxbxo/U1nAuLyIkJK2muWzdv Pf4VT/vk/EhZYzYnDCVQ4dVp4uQCpWaw+ZO2XV1fJBZVkhV4FzrBGsPz42Ps iEwnCtWByH2NZL1Bs+wI7O/8KZ2DI7k1hXZkf28uESmmBQipYQnSz4JrfYJz UJvhbClQfCcmVpYS++ual/8xy+Bga3FxbFFxbEdXVWROCELiQgz1J4chWEoM S4llq3CJ2fIhXacyW+YrcCDI/TAyL/Cn0srk9uZidYoQHeShSBWklcUiZR6g y+5vYUnqB3fMMtrcmfdNe0e72zvG2tosWQyNpyYwlShwIkBcuBBvcGTAS9Dx g70JoX45lYnj08Nnp0c/2uYvutzf35q3pixzugGuuybov3PzA6srQJbUDwzX 46TENz48C/MIACmBT2sfniOKB6U8s7CQjR/k1Pajy23P3XgceVxEfAyaJf8f b4gp+ZAv2N39w8zyyppx2pJn5Gh5Yz6trEwQHb9umnt42Lu/MwE4ubjc7NX1 WGynt+9uTZeX5uHRISBEW/sI33gLfKkqRXxpz9B0AD3yT/YMQEFvvISuBDpC 4MeQh1MlKW99RfBi3xtvYVJO0ch438zCmnZkFkjiTV26lPwmsTI/Lruma7h3 92DRwkX7Nzdbq5vTI9NDc8tjyxuTq5tTFxcbluXUY4469msfsi2e98qP/dyd AxoADu6KDbHyEQLusvOX+bKZ6ZWR4Natf3QnTZtjWkP7xdXvps+Hx4rFVZMr Nnhufvjo0Ly6MloFuW7pDnYmm9ubRgw9q8v6qWmICto6W0qrq9o1Lc/dOAAy XTFCQai4oSl7eLCxp7sCcIimq2zwM+NqwCS9PVVJGSFANhnU1QdK3RPzQ6dH u+A1tY/X0erqM5ub83q6Kz+20O6HAKm8U1MxMz/6CCW1HGepsaUtOTWdZc3t BVPjXR9rnMBBAGgN9NdaEKv2E2XUR4yU3dlVCn7e01+VkBvhSvdxZXo60/xc mA6pJeFnh3Ojoz1SVXJCRj7g/9lZLegpyInPPFHXXM8MiiuqAALC6JDBcHl1 u7+3dnZi+r2676kXHy2m1650qiMDaY+nB3JDHal4BzrKkYZ/4UV9FQAJ2q99 oFTO0/Mbc2tLqCD+ywDcG2xAfqOFjn7kkNA+o3G5tbVgdXloa3Ps6aEF1w4+ F+YHZqY0Y6Ot0IBgngL0Mm5oHZucECrzv3FivnDjgtfthSvvpZvwew/Ray+O I5HhQCY7UKGWALleGK8OTo0Dwj4/VgmJkD88+92HNBarK+NrK0MWNPrLWwMG n7UV3drKyNRU39hY98TEwPo6lFDPMLnoiJJdXFxHZKdYEfwA+Xxlz/7KKyAi O0k/Pfk9DvQv/g3er6CxBinl2ZKRTnTQGMw7HMWRSrQKpPrzBG5kkTOJ+9yF 9xZN+R7j39w9PDm7Oj6z/PjFzqqwFdCT97cfn22FoTiQ2fYkuh2BaYtn2uBY H5bY2LZ4NiE4WpVZRgpVvsb6fo/ztQAtxBiAl7wF+J3DnV88Izjn7sG2aXez pCEzMl0SEs8URRKFajxDHhCdIT27OLGw/B0smhU1tvy3B8aZRnGiUt+geaBV zlSKhdmgVr3Dc79HsuyJHPDNvlHdW4I/QgTlQ/HkkiTRIqKMZkvBfO5t9yFm O6TyAoAEOt2GhMgqz/xN7/MfpIAXp6Eht6m5aMu4kloWAxAIZ6EUfiQJoBFT iQEYQwkLpEWgERJXotwfG+LNi8RHpYmLyhIkMVRkkIc8mRuSwvcR2Mfnh7V3 VHT01n2s8IEfpPPTY91QhypDgpV5UcKRwlgaW40XRYNOEcgT2LJ4BkeNp4Wj mBFoajiSEYGmR6BBGzjRRFVOcGNv9fnl2dMD8E9RHo6PtoDk+DQ6PcHS+pp+ zzxT2pRqj2W88hC+8RLYo5hv/TjWfhwPMvmtL++FxUjbIVAA54f9nI7Aznf+ QqJAbuXN+5MdXZlUChsS3N9dWZzU9oGQMbeyAqQJjir2/h7y6IcjbOsmBzGS sFeBjODEtMfHHZN5HvwpNqPoz/YMGE7AKA3gpF83pYgv/sqB/tZPguKE26N4 PlxfYphHbF44lqt85sJ57cX/zpWDZEXnlHV8ctn66dnRmdmW3p6tHQiQHh62 H++3AZVt7y4MjA5kV5Vz1XGBglB1ZrY8MZ0WHI/kKJ95MNECBU0a/a0TGzTj hTsUasA2QPy1I5sfFptYopqZ7QNzzYZllgF1dWV4eW3qE5XjP7JYHB/u9/ZP NAOj5+cnu9uLNQ012qGuw92piYl+HFcFPs3Gsa6etvHxPk1v2+nhzJBO44qV I+ghvmSBtS+3pjZbNwjAo76iOqW6Nk0/1PSkF4LVR7rBxrb2ophkMRQE2zQl T+EIooklNYmGkZYRXTNMLB8TDvT5kSUSgKX29qL84uiaRsgTEIwAxp2NkzPI v2ludmhE1ziia3n/q/7a7u4KyJxb2/BTTnBwBY0EdWK0/WhvobIlnRONJSl8 SWE+OLl3e2/pnnl2e2t81zxeWVc7NKwZHetVJWXrDT2AkY4PpmdnB4Mj0/iK xGFd18XpFhxB/XcMggR7SZfV974OxNpR0NYBLMAkViiCJcQfFLDagUpw5+G+ R+LsESGjU8uVHU32VMxrjB+YZXoNw4+fTf2wMgpeJVlZmZmZ7t4xTxk/wMnT IDA9pZmd6QUPs8k4vrIEOqKpsq4xraChs39ErMr51ollWWEXWCEY1oF0P7qC IJda4upA/uYuLML4PGSWeXZ+fnhy/Pk1GQw9XV1VhpFujaZ6RN8MI9lfxArj +PqqfnKia3FeOzvTA4i6qbU2LKEY/FKiymMrkplRITakQCcG3tqX/8aH/46E 7DXouDER1sQA0AB3DgklFYBmwDEtHSh4WxzZnkx8iyV4c9kOVLyVHxBw+HZU pB9PYB8YjOPFfrgh/5gu/fUL3PTtfRM6COXF8fVg4d/hoYjxoD4tsdkTqV4c GjlU4cfnqbML67o74oqyvfk0RzrGlY3y4OLSq/LA1HZ7e/tzdteWEzV3V7EU gYokriyWLo4iAUACVRpN4YSj+vXvh1k4w0V2TeWrQJoNjv/UElsCA962wUGm 47YESnN/69nFhSwl1pqI8OGRPDlENxbBlUUIFFHgZbWfoiNXFl6k5iJFFEca Zn5t6eFDDKV/4nJ4uNvf33h1dXlxeS6KoQAKokegFIlslhJLViAoYQhMsBeo uBBPYiiUpAkX4gMABmCSJZqcJzkMwVBhUFL33PJ4TWeVKIrEi6VeXr9fm4Y7 17RrTCuPzatKrmsprG8rzi5PCE6g40M9/YR+36PoXhwcPTyQpcTxI4mAxwAa geMzlGh5Kj8sUyJPEwpiqcOTAz97EV9eOdzfgP2+wUi1vTW5tqKHZWqzcaKy JduT5+cExBBfwdtA0jN34rdOXNtAJpg6XTEiO4TAjyIMUkm9iMIXHzzankgJ NtUGY5ETCrZHEl1eflgjfrgCoAo29g5PINPB0NjHx+uZpanRmSEwn3dqu16j mG/QrO/8aZHZOZll5U44qX5s2B0fAoXO/hAi0g4htfIRPXfjfu8pikzP48fh 3Vm2/BhaU2+1LCr4pRsbfMceIfahKF1x8pCYwqvrmzuoXKwajR3aESC8lLfU 7x2srGxMwQlzLW5rO0+Bvq9vdssa6/+HPe7/e0fCc2Kq6hukylRXdHBTW6NF ccQDLQGitA851AUdJI/OnFvoGZ/UmDahXPZrq7qtDcPSsv7hD/TOXgwNdZbX 1uxtTx7sTHDlcXml5bcXCwmZ+UWVlSvLOlA31kcgW5SF6ZLKxIy8MGV8UFlF 0vRkX35JbHpOGECUgb5P4xcB/unpqUjNVuhGmlaWh3sHq9Q5sg5t48hI2+RY +9SkRmsxPYK/qR9uAhsTY92jI+3gv7DN9pC2bniwaXfP3NJZUd2QC7cVUOXN zcXO9hKgLBiQAIk1NuXWN2Z3a8r7+6p/BpB6uysBzvUP1IxPdkxMdZU2pqKC PIGoRZT7ieMorT3FYP41bhgW54cAFh7tTfVrO9BspTAsadIS7mB/Z7KitobA j8wvK11bGb25/UlDmt+6wFO2eeeAIUsjBalfuLNeu4veYX4wcbiwsS8RGHd8 2ODorCIj6Tuk12usL14unF9b+fg4sCHTxxAAWLS5ubCqKrVbUzY/N/Axpawu Dy8vDho3RwGrLC4MdHaWLy9PtHfUpGTEDgy2FZZXueLCnruyIWM/JMOJRvSX 0JFBHBcWJMsHJcccn578vAv21NQweDBmp7vnZnsBCAEA2/iIzQCzzU73zM30 bqyPX3zIKe9LUYfGlxhN+2/9hOCMjgysExP7Dkux8me/xWNQMo4yO9WWgrLc GYwjjeD4FAWRgbHFk+wpgBlIzgyiMxMHNl65Cd9iSPY01Gsf1tcO7NZuyLDq j+Cr+L9W4G4FYsXwVF9zfwNBjnNj4j+mI9iR7SWC9hJB+cYHl1JSA/8wLDPJ iuBtS7PLbyx4/GU1GgSRZ2cHY1O9uWVRKfmKlAJFeBJHoMJbGIkkVBPk8cy2 3trZpfFH6AG7wclEVhi6De6TljzZjfNfBeLqu2tPzs7c2ETAtM4MvDePCODH oh3CerDfJ7JxgCK0/8CkHHzZV0gfHtGExgptyYjRKYs31h9osP2tCmzP065t 8uTZiqIp4UlCghyFkfmQFN6YYB+szA9wEUKERIgQYCcAJDTES3DaOyiKLzHU L6MoqqY+hxmBRsk8y+uzbq6vHj4sgIMjLyxNgX5EiF0DpR50FSY8lc+PUHiz qe8ITGsMz5VOwoV4k0L9KWGBHBVOGE2hKhAEuS9a6h4odaNEoJiR+IisoLLW /IXVGbi1X7Dg8aFcXh5bBDfIfqauo3BkomXXPFVaU725ZtAMNJLDKH4CxDsU kixWJGeX8kKVDAlfEi6JSZX60zh0iVimkr7zF3z/FLPa530YomcufBe0gMgX O6GEXzsy88src8palUll0Ck/REQwbu/m1UJGhkWNnXYE/tDEzNXliSQ2AbzO rwKZ73BcZ0t8v9c+XIv1NTis4CUEYILnbtACH0Mag2JFBNCVZEmUPw9T2pK9 boJMUvWjGhcM6xsnTgBddXp28ZfhGjwDD4fnF+vm3TndxGBFS0NBfXV1e6Nm qPv+gwPdw7357s50C0UY2Ds6XqnvaseJVd95Md4hBcqUDBesLCW7KCwu40/2 zDfe7+NksoPj/KiKxfnh7S1I+N3ZmjSMtxc3ZO5tz97cXP3EXf9tC/xYbph3 6rr68qsry5paiyprw+LS1ldHTMbRzKJcrjz2/HiupaNJFJ60Yx7f2hg1A8l9 TW8yTtQ25aTlhtXUZ0bEMPqH23b3TDEp4rqGrJ7uit6eyk80QrqhxtbWgpSs 0NWNhZ6RdiDRdOvbLQ/V6eXl0c7O+pihE4AQqAB1Fue1a6v6EX1bR0dxUVlc XnE0oJ2BvurSquS4VGlWgfrwaP9j5/Tz85Ox0R+sssFt+FFXOJjBhgcbwBcy C5RJ2SEhSWy6Eo0P8cVDiZ+8OCq8MkUYni4C4GRRjOg6e1obWhouT+faNS3/ YUOzQ0gAGoFOPD2cmZ7W8uRRoxNjDw+3FlPh30cNCDvrA0bywEe88uDYEUnv M318MB15S0AhmKrm7kG6KhigEZj0wzOTYD+v0/Ozoua6iw/Wy3DRTU1UdbSe nJ2C7eHh9srK1P7+lo316S3IBunDKtv6qCXuwTjAmJaWwoV5gM3j05OdW5uG 7S3D3t56QZXGj6qEnCOcOc9dOS99yG9xGMAeAFGml6HlsA/hhn6gl7Fow6DF NePmwuaGwbw1adFQjX04KXReMAQBPFuYH5ie0oyPtY+N9hhG+5aWJto13d84 kGMzqtMKm14j0c4si3aIirMjAhbC21EwHlyyE4PgTCdZwjGBP31sr2KJGk3D PmVFsQqgeVKlLhycK435nTuNLo/7R/bpb1qM2we2eJYVmv1DLIG28bKo/Nq2 Hv3EpnkXzk8xu7rcOazV6Lvn1xd+3mffUiwusfO6kDiqIhGMeXR5PCMohgrm U1iJJI4kSaJIjFBEXk0KONjIzPKrQJYNAKEfpyPuOxzveySjRz98erobIAL8 g3RmolyYuPeqP8gSG+8MhZTEuLPxvjziEyNZdmLJMvLoxEB3fyNTwVg3QQHA /wnm4l8slm56UGbLRFHkiBSeM41shWF6cfBuTIIDmeZIobqAPWieA4lBCUVy lViuEsdV4SyGQz6sCLQwikQNR4LtAKlbVKpYN9QBp1T7yzo8JE3d7exu9A41 qtPELjTs92jqGzQXfoRA9WDhcVCCG19iqD9bhSutTKmoSU/KVcjjWTwljhIC Oc1582zBkDu7MvX73adfrVgWvK5NxskhXYc6N0SRFtLe1UITxxAFkdnFpS5o uRMJ5yFwDYqONm9Ozsz05xTFZuZHRyaF+9AY37hQbfwgHIIyoFliWWNYImtf KALSczc+hi3iBosBO8FG3S4Y+b+9JqhToORWn5i1p5TUutIki+tbj49Xx/tz JXUVNjhOWHIKAKRvfKnPvVkvLWlNoBjaLmxrH/4zZ6YzWuKKCfIihhD5aro0 mi6JNUy+jyy3sjYTlx7zzp9rFxg0PrMC7/zhuwO2ryzGRaDunp6t7R8uQaGQ YAe690okS+xKaOMgNi/vZSD9K0/SGyTbDiVSxGRMTvYDOnrpzrPxF33lyGKH xAnDkxrbGnbNE2CWWVkeNm4YsqtTTDvG38uAH14VGptbtiXwv/Mnf+dD+W97 ugNB2NHbRA4Jt0UJZmcGN9dHiALlsL4b9nAfNjRtbYyBmbGsJrmxLS82TVrT VHB5eVFanRadJEzNDmttLdT90HDakk+trrQ8QWfQwOe9vbu9+2gB+u7ubmZK OzGm0Q01wVqgyYmu/JJoVRwnMSO4oQFSB/X1Vre1FqbnhmUXRT29rZb+ejg6 2hkdaR+w6IsAiQ0O1H+ORrDFOPirfrips6OkpCKhvDJ5WNewsNA/O9erzhYH iF0Jcj+LGOUdksKbnR82GydgQ/qLk7mC8jJOSPz8/NDYWK8nQf5neyYgxqkp 7a5pNKdIWVmXZdyEoo5fXp78Lv0IP7fy2CJhRC5OGOlApLmzKI60p6kf7cqk ppdV+IuZ1sQAWwqaqVT1GiCfu7UtI1LKVeakgO64vLqubR28ubktbW34Huvn xiatGDfg3gH9e362B6gYXhT+eKnLMNI60F+7tqIH+5cXtcaNMQD/J0fGvcNT NDvmO1fOKw+eH02F48UmZjcmFpbakBHUiODLq6sfdfI1bS0Z9O2T4z3rm0ut nRWLC0NrKzpYZfR+QR/yrAR8Pr69NWnemgAbAJ/mZ3ubmgo6OqClVWVcwn++ o4bFlyIFwe/IgXBKejsSAWASYCQHGsaeinEh8jw4VEuKk/ep4n5kgYaBs6UG EoIUKKnAmYnHyES+Asb+IbQU+EXPr4ClwXt3c3stik20QjMta1icDwtbvFeB dFVW8d9zcEvKrau9nYWmjnx2GFoYSRSo8E90BKpAjZdGU0IT2TwVPjo7SJGi tkJTbXC8H6IRbDTOfYNmPQ8gp5ZVHJ+epVfmeQt93Dj+LqxAN06ACwtpCaiF hs2wYVsjTjjbFWInyJ0Ncvxn4PBB1Kx8pWl7s7QqZXf3rzIs/9ILfIHHxwdl lSlhSXyUzNWLg7HG8KwxXABFsFmXDZb3PYrnxaJJYwhCNUkcSeapcFQFgqPE SqLIgJEgrze5f1yGbGJ84BMkho+/ub1b3NhV1tRdUF3lwxHY4NjwswQjtzWG A6iMEAqZaiODPGILwps0lQNDbQvzY0sLEzOTwz09daWVqcm5iuq6rIGB5r09 0+MX2zXwRHZxeRUaV/Dai+PPkPiQQ1+48VCsCIky5YU791snrheLQgnhj48P ZBSU/Nme3tBSvbkxCe7+ay+eLDLDFSu18YNc/l+48T1wggCa8JmzwIsIJT5j y8Rwmo/XnlAY6q8dmWRRIhwK6el2wQvHtZ39WztQuLCDvWXD+DBeoi6qrbo8 ng9NTi6oLpNFplr5QBlMHJBBJFHi/OLiytrK/OK0cXNW09eZW1oVkVienFdn uRzIadcw3sMKCnZBi8saNPA1ftI3xu19w8z8wurixaXZkjz3B+EFzs7XVzen Ftcm9g6WLi83ATuBT6N5rq1Xg2So3vqK/KlhK0u6iPjM/7ZjiCOSPfCh37lw 2zVtBzvT66sjQBKfnu3bXB8dGmnZPYQu6u7uH23h8MEEd2Wgv6G+qcyeAB5v nh2eH5Ga5koTfeVNKa2rOj+aF8fEJ+blHe9N75qmNdpKcRxtyNDRP1x7erA0 rGvML49fXBwd0bdl5kdEJ4tLyuMho+vP+KSrqxR81jblNbaV3d3dtmmqTyy+ DDDhQDq7+1uwfX11sbuzAb5pNq0sr043tpUUlSfVNeWvrS/odG36ocbOzpKK yqSNDVj/8Jd4GldXF9OTfYCRJsc7V5aGRvWtuuFm7ZM5k8WXra2tsKExq6om NSkjJDZVGpMiLi6PzymPFkeTgVwDJB1siE+gxE2ZKRzQ1RnGWy1Rd6CADM1t jeW11W+8hDZ+opKqqti0rGfOnBduHF+KIiUnPS5FArBtbVV/fLT1u7mwWc57 cHQanlDqz1AiRDwbHNGOSHRiYCyZYTGePDKYMmwpgU50vCOR6cPlMNQhpS0N 7hxydVfL8fHFzt4hPywHL4iVpyd8j/MD1LRshFNMgtt8d3SwDmls5vpWloaX FgfXP9giLsz3T010AUQBzzPgFvAJbv7uDqSeBSPe/v5eVFqVB0HhT1cHReaf nl/eP9yiZLzhSWht5ROTLXCatdXp/t6qvt5Kg65laKg1IpZdVBbf21M1ZmiD 7cMBn4NmjI+1Dw02jBpaZ6d7Vpch421LcKTJHfP89fXl5OyKjZ8YyFlEUZwD Ff8+HxwNZ0/GO8Dww8TY4Sl+bDF8cyA9EgX/MRd9hEkYByqBGKywp6OQUo6/ iLW9v/f4xQ7jHxfLiPqQU5P3AoF/h+NDdISH6MieyOdHpZ6cn9/f3z91kCXX KRwp4WeWQqAn5fLiCDwGaytgfBvLKYsSqHBP1kdP6iN5PCM8mQtqUp48Nksq j6d7MGivkdD0CiZuWJHlQGLak4iuNFlZc6cVlk4Kk2jHR95RkK4cf9BrDjS8 KzvQS+AN0NuT7wt3sSVzCpogowtUXFcWjiJnviUj7SmB/gJKRBxb09dg3tnc tCwc/BN0388X+AKvry7LG7IDpe60cD9vDskKzf2glOM8D6C/CGDYk6l4Gfrj 3gEcK1AT+Go8KdQfLfMSRpNzSmLbh5off6isgG3xSps6Xwcy/80B+a0f+R2e 9QS33yOZVmgWZO1PYPgJUBiZL17ug5C4+ouc8XJfYTwtqya5ZaDeuA0JXxdn p2bz+uysHk6J8uV2zcKKEc+P+39f49/5S9CsyG+d2R6EkABa2NeOLGsfYURC RlhCvLWP2A0b/B82tOiUnKmpQbIw5oU7jyqOqW0s9SSIAP/Ai2teBOEbb+FL LyYvnM4JFj9z5b2C8qZxrH0k33sBwuEo4ovvfjpj2e3t7c3VQWFFtQtGgqBH UETR6qQsMG3llZWDCeu5K9fKRwjG5Iik8pZuA5gyPvn5x8MyeO+fcvN9XOA9 6qzilwj6q0AWShTWru06OF55eNh5+ABI1zdbO/uLI9NDbf2d+XVVaLGCFKKK SM9q6unkK5NeuHPAxdojpKrELHB/pOoEplzx7za0uIzstr5SIBevrujW10a2 TKuHJ39buuRfscA4dni0N9BfL1EprNAA+9mOZP7M9IAfV0aQKefneiPTYj2Y orTSaHWWsKI5XRJPDU/kieLobT3FgyMNrT3FA/01/T1V46NttQ2ZADxg66NP FDiW6NZQ6KGC4qiFhbFhQ3dBWfzPxJMH4u3T9iUcjO7+Xj/c3Guxvp6bHf7R FUnAXdOT/WCGXZgfGB1tHzV0wmbYcAO6IN+6hrrm/PzSuPau4sX5ATC5VzVn 8GNIJLm/OkkQmSxiRWDAKwz2TEx17u/MZRaq6ppztDr9Kw/BMxe2PUJoyevH kkcFyaOC3bB8Io8tjxTGpUmq6tIBSl1fX3zeqn9AeYqGLY8tooiTC2s6rRA0 WwIJ4AGkNvkQvgaaRygEWzzFjowlhonEiVFoGWdyabZHO22HkHrgwwNYCnK4 xIrg78EhewuoPGXy1RVkWHV0uGXemr65vgCyJOhEcHthJRK81gbgBFbvAIZZ XhrU61p3tufmZgcbGwvP/n/q3vurjSx9H/xr9sfdPbv7/c5npqd7OtjudsKA bUwwOSMJJZRzRIEgIQESkhAiSmREzlkiZ0TOOYPJybC3VBjTtjuPe6bvqaNT lIpS3fg+9w3Pewhh4NOz8/HppcTUUrCG5FSXArSWWgzph2/zV0II7O3lxFgX wLfddgYtc2lyVo4izSQHvTY5DvXU/GwXHMUG8wyA7uvvq7VYylpaitvbK0Zt TaO2xqnJ9s6O0hFbW6ymIIgk9wyPfoEi2VOPQS3gjEXAKjUgSZ2wwa9xXF8G 0QkH+SOBVoLNai5EpCM26OUd0ySAlK+JVG8aEUhnd3L49OL89X9TSuI/UkC7 n1+cR+lN3/pgndH0b31xWJGyf3QS/vZ358OamBwoNGtNefFA4NJjEEDmMu+I YHDwFDiAmgrKtRtrtrWVwbHx9mCW2BFFfxpKBustOHkUTPohiIAS8twJ3JnF VXZC4jf+7rk1pWDEPkX7udwg2FAXIui7YFdyAJxd7uW7LotKZIULIrgyii5H X9pY7UZC8pXc5DTx4jIch/gf0NX/yYyI8M9Z+pv8OK6KNH5CivIZknyLjh4E EJQZWabyfB9a4DMUIYBG4MZBvmG0GAQ4GDJUuMg3DLKOQf5IANg0dFXfRcu3 BUDmoYlxbV5BMDvqnUc99UkoxY8mdMVzHgZD1tvHIZB1z05Q6QsOALqCuO7+ LBc/xguaAts5ZPnRa/8FVbNXdpI0c1XbU1/2//sQJVSaTMUNvjjJfTcqADOQ 57Mn3TmQE0iIeuzFemiPBdOmG8urK54Hcb96Tnzmx/bDiVyCGY+8CY+9KbBL NpAy/3Qm4TnUOA3vsTfjvhvjgRsjMiGdHh379QsqwFSOfhyYl/iDTrm7fzk7 O9jcWGhpa9alG9nRSeDJf38W8Z40wJXyvx6H/x9fBZTWdlzblTNv3/423zw4 sGt9e3dybqaxsyU+M7OkoQoiX7oBSBsQQNqa3NqZXt+aBEhpbsnW2NmkMhmx olg3AhtA6+/cSPddaQAdPfWBAKEvDeNK9goThrlTvYvr0jZWbAvz3bWNdbOL AHRdrW/uFlZawefJKZxO9N/Wg79YzWsoYHOXHiUFQxqsUc/R9O6+Jjc8K0qr t1iLgsjhmUV5qQWpTpgXYcLXYKgTo0JDBZ7cxAicNGhkrGVyDGASM0AvOfmJ hcVaAEhuPbTByQdxZED8NbcWJyTzU42ylbVF+BV+8fWu7eAHCFAAjQ72d37m zrXV2eHB1pHR9uQMaZox1pirLClLgX2TCos1BmPs/OIkEAr9I5attZG8Sp03 4wWoC0rky1JgDZkxAOCVVqVOTbVXNRqt1iJzeUqaKTYjR+GF5t9zozn6M2lC tj2vCl+dwq1vKmyxFKRkihVJbHA0NufCVDx/vgUGrrskIYck1FXUdz/1YziG I59jUQ5h761sdoSAcgoPfx4RFiKgBbDJVKWkoqFdkpD3tUvEPVeaB54FQNEz TJALEUqF9oVLCFWUAkMY2LHq4OBNU5MZIBOAiG7D/CGYNNezsjS0tNAP27/s CWT762pNVVWmnZ2ND+RCY1d7aXMdrIe5W7a2lsEoAj3V1JhXYNZoDCK5mlFY lnp6ery/v7u2Nru6MrGyPLIE2XYHYDC2BoDZwsDC/NDy4khmbmFXb09adqFE mXx8tDO3uB5IlIvic+65E1/g32uHbj2OXhJCnJC4cH7UCyjKDwJIUOPgQnxZ EUy56kkI0oUU+hyDehyI9WVC7uVuJJwLARnIpRwe2+H6n9Wzn6PcpZkCZWlt jRJNQ7DRz9Gs9sGRj28Gn3v7h9u7++CfwEIKTn5K1vf1W4Zt1sM3q5X1Rm4c RpRIikwkCuIjOHIMpDuyq5LsHtqE/DJNe2cpwL3jY5bRsZ71rT2w0rb0DLhF cAnSxMLa5h8CST40diCTG2PIlRrin0Epd1GviMjn+LtmUATsOQaZUPGhTjjI YfsZNgQrJCSniRRJrJxCNXgrdbYBIWTOzo3+96iP4E3B53s4+NzYWUcKvNPz VSXVmQHswEehGAfYZBlM8qYILi/WK5ur/+WFc8HSsAIkLSaMIAkiR4Xylfjq VlO42A/mjQRgJlJDv33u9U1yagAJzo9Pj1Y2lrhqGi1OTI8TelFo9wOICJ50 ZKp3b3/ONtntFB7xJIz0FEF+hccF83wQQi+k0CdCGgxgUhDPAyMOANtSSRJ9 cmpod3v98vzsZ2r0X14Oj05eBgv+5oApqLBYu23g/EtngqM/93uYPsgeovWF E4EWmfAaFYlhyuWa9G9cyBCCek1/EcRlSBIfe7MeelHgDLYAHTkH8BRaTZJB 7I1hA3T01I+AEmBFeio1Gotl8F4EQW7VDdaB658LGLm5fvhmZnDQUlpVZjDm vAoVPHCnPfFhffeKHEyWFVdb88tbPzDVfeJBH30DozJL7xDYT8UasrPLay4v NyAT2zvd0fvjeuP4ZBGMh4XlkZmF4aW1scWVsdn5kYmZwa7BboJABaCRUK77 6gUpkBCdlpvlzQgAoN0FRfKl4rQ50aq01HxzESsqFfycQm/+30/Qj72ZonjT J+H6Zyr2UX+1u73MlArB5sIRSXFC0QZtFhQ/ihefUFCkQDCIGYU5JnORM8Yf I4WoVgGiQAq9g3keIfzXGfmKrs6yDivk4dNQn9PQmAvEHExt1NCQAwOkW79o C0QCaS4tSzHmxuvSJOZS/cH+7vWvCIr5rZU6OzvNKdIC0JKVHVdUrIO8tS0l /T21bZ01O3ZFrjpHVlCpZSfgpFp6Tb2xvjGnowPiqwR39vfW2IYaW1uKjIVq pZZrLk1OSI58GUTzw0Jk78npMm1qJMBI8VquMS9xfKxtYa67rCpNnxE1Ntqy vTl1dnb0O3vijxXQhuPTi2Aj4xTIeQ6piTDPEJg7wADxHIuwsw+FuVMwAP/E m1LzK5qdkBHf+fk7ozFueLIrGQq9f0kMexmB+sGbgKKrbjYp9m3F3t5meXnG 8FADRE8xD6lx5qEQv/7F+Z61lfG1ldFbHyHII2jc2lCfDdDU0dHBrS/9x4P6 7Px0fGpoe2djY2MRoF/QQf3d1eUVaXI1U6UXJOi4+ozopeXpy0sAaY83N8ZX V2wbaxOry+/Z2OZmuuZnu4cGapSq2ARDUb11GMy18Wko80i0OjdSaSIJ9Pd9 AN4Lu41yugFIRMTT8EAgs8lyqSMWwoSQOTIC+RTtn1ZsRlATHwaHuFIQ37hj hEpjlC7t+xAfbwaeER+z8ZclYb68/FAGtXbX1lnL1KZotgzRbC0YHO7c3t3N r0yfXZw6uziraivd2tsEFT0+OUUxEsOZiVi2OpSiADs+sFidX1x8rBRZW10Y tXVMTVpttqaevqomS4EhN1aVLhSpSHd9kMABoyaBMiJaQ1dliEvrTYdHkHPX 9OJyxwDkstvUNfCVJ1KSbECLop9HhL7DQh8mPYH1gc74sBA2FsmLcLbTQroS kSIFVWsQRSnJ3f0tJ6enXnRcY3fn9X8iwB9uo82ttdqmovXN5es7g+ezjqLu 7obGxiJTqd6L7ogWIFB8iROK8gxJ+84Xl1FceHi8Njk3jBHysIIAdSafocAQ JcGcOAxTFt49VJleEu/PdgUAiRqDTM6KGZ0erLWUXFxAWUThUbS+vcZVERVG YZSB64wOfBiMcUCQn4RSPEm87d35uaVxrEjqSw8NYAZjhKC7UURpENKe5YSj wMWnCFWpIn4CkSpDYcUBYbzX4Kej1PTsQk1zS8m63e72F1Il3TBaNPW0dAxX NXZ/40L6wglH4CUFEWX33CBj1j1X6neulJLKstyioi+diQ4+LPD5wJ16E6rm w3zgQbMbJhiwbuefTsTy6vK+/trnQfQfPBleKJErGu1LCwjle03Oj+3sLEYl xH7hFJ5trrn++XhM+5J7cXFcVd8QTIwKJce4IYQPPRkQPZ071RcXM7uw9keq vPNmv7GzX19QwVSkVFua3r5LU/v2cu3qJsnI5jsGbzC1D4AMOT1dfrO/YJvo r2luKqutw7CUADdmFxaGM2SuYfzNVRs/LvFJIAJisPRkuaDCH/rgH3uyHnkx AChC0hMAtPviWYRImXf9J67AV3blwMnJYbO1PoTBfRBIBABpeqorsyiPJZfn FcQE0wjphbm5ZYUv8V4YiQ8cCgrrYIlRIYk6XmNjHpxYFoAiOA+apbXIXJJc W2eCtUZdnZXdHRW5BSpwEdzT0lzQ3QllIQHA6eho/zdX9tfdfHl5UVplNOUl tlkgosiyspTCUsPwSHdnT+Pm1mrPSIc2X6nOic0tVvd319yGv8HM2xCrgKV4 bm6kqDw9Op4YKec9D6RHJwgys6WaVFFKZjSUkFcviFOzAEyythdvro8ASQ2A AcQzv9C7v7/+u7ri9xd4HwFmqFMAlxWV5hgMVsLwl3fysNtNSBA3ozMuxI2C BBggs6j2cWiIc0SwCxH5Ao8ENz8HG3Bi2AssBuJ69WBMzt0u5pAgPDjYs9m6 hwYbN9dGVpYGQS9DHNqz3SvLAB2NLN9SR9o5QOx+1AMXN7wHn6BXgk1rB4dv KmpzUzJjVMk8Q2Z0flFSdU1WfmFSgpYHJz5O0PHUekF9ffboSPv4WMfMVMdd rkg7OupamIM+l+a7K2tLFcn5YKnBcZKOT4+xUp4bil9W1+3gT3fG3fga/Yhj OSLkJZqozTZ70rFedKxjOMIZjX6GCURGMkpq2h94RQAYed8/uLCibXvnwAVN /ibQNbsK9mD8awWJ28kh99ZXV0aPTw5NJbrq5iJLd11FYz5LhuYqcSRJkMmc uL0+Mj3ZaTJryNLgxCyJLi+Or4wYGYdIWReWN+67QUGIYOMJ1v8n3iwcN2ln 7+Dt2w/dNhdX5wZGu1TpkQD/cBVYcNBjEJCH9jv/FhgmsWXhEjVZnREpVpFF CSRRIllu4B8e7b/9MXJo7Rnc3t1PMKU9RPhCo/RTXvSvSGBU+ztiQ8P5EYok ljsZ8Tg8wIMcXlFfnGqUAXSkz4gBi5ulv6fK2gyj9D+16WFmzr0tQ5YsOp48 Oz8OX1/fXJme/VBZ9+sLTB718/eMTfTHGPgeFAd9vnJiYoAuU34fhH8UQnFA 0B4ERhgKC9c2esjiQHON/vBoVqZngn6hSkMF8fjxGYsyS4AXBdBiEAAy0WOQ 9GhkQZXm+ur06u0p5Pp9sFpUndlj66XKFAg+lSyje5IZPwSR/vkamV1uHp/p TMzU3PfHPQ6lueEJnDi46zE4SSAQHAFcN6maVlmRWVudU11pbGgq6rJZC+pN semRZBkyhONe1WK+/ktNsXfbv6tkU9XfnmK+cyVrMstRjAQwUx57ATRCfh7I qWmompnuCqfLAFJ66E0zmcvIkSrYmvbAnpoNCu23cx+B+xP0GdvrQz4Y0cPX DAJX4egPEVm/ROAxEv8tu6+yPEkiidecnh79kt0W+urgYHtnc7i2oZLAU3pj RP9wxPHjsnoGJ46OT8/ALujs4o839dXl0Zv93f2DhaPjBTsogjKMHBwubO5M HR4tvr1cLW2oqrHUzyzaDg7nbZO9OSVlze1t4UzFl86Eb19RADqqb675/x7j sguLhgbbnEJwj31JdvTIBC0Ap6771wuI1vKJD+ehN16oFg9P9cFeJX/wzX+x XFycrSwNAVAKfutof92Ul+yCoTkgqdNTnQUVZqYsOjc/2pdEUBuN9U0FPpRA tMSvrjUXKwnwZb5ERfrKkli6NInVYr4FGO1WmPXa3NSY39kG8Rf1dFWNjVhL SvVJBlFZeYqlrXxsvMcKJRMxLy//XA7EP15A15+cHC8uzQBIBoSsQsOO13FL KjPnF6fgGza21ipqM4YHGz7IQtLTVTnYX9fTXXN6dtLZ21heYaiqyqyvN9XV 5QCRnZjMgwBSMl+bKlZoOAAj9fXXbKwOrywPbaxPLM73bG/Nf6Ya/VSBQ3qt 3SPZ5uYXoUyH8FAX0iekiRM22I2CitZlINmyh2H+LwihUFSX3UnJGaJtDHPD kx95Mr9+QXINi5xbXIcfe7c919YW+wcazKX69raSyXHrxsbS3u7S0sLg1EQH QCkz0x0AJdoBUtf+Pky2/Aude3C4NzNrs1jLikv1ABQptRy4bVV2dJScJs0p 1FZUm6Yn+zrby2enO2H7GnTM9wG0NjPdt7e7vLYytrc9Pjs75ODLttv9KdFJ +dgo7pfuAUZzU3p+/ddega/ICMgTG39jl4HdjX4I80vNrxDrE/zZJA8KxgmJ f4FH/BDmk19XJVLm/usl7ll4KJobB94zp6TZj8Yuaa65/qupj+C3zTKrDLlx +RWpEZG+VGkISRwIgBAQfxCSicP29levLw/XN+fSosPiUwSDw/X1DTl5eeq4 NIE2X82Xm6DV3psJ2vaxN+vrF8Sqpu5P/ND1VUFVBngmX46jRIXcYCE5mi2D LGscOYanxIFvwRVwnpgmMJrjR0eax0ctQ8ONyflxkwsTMID5YMW2TU+Acfsx UTY8nn8I8/bn4O2s7IHmypxotUCRmexNx3UP97W2VdQ1m+ubS+qazH9SW3/c JvYadfQ1A/CmThFGJ3MMxUkA2xjNWlWq6M3hLlhh/u3aErgBLf2NaL5XbWvJ xeWVQJ3xhQfiGZLpz2C/wJDu+xOQvJjyxvyugcqLy43MIgXod5I4SKZnzS/1 aHKkWKEfNw7DkaOpUQAyRVQ2ZaQVKDr666+vj+aWhqRJdGJUsEDDcyOgfwim OSI5jki6ua66qbulb8SalCmgRSNI4lA0LxwrwDNjYYAE+TihRX6ISG/YH4ka i5SoqIas2KpK49hwF/zm00uTyxuL13+pKQa/6snJ2RMf1lMf1sjE/PDY9Lcu pIdejHuu1CBCVH1TtUCu80AKHXxYD15THMKotsm+RmtrZUM9ZPDyZoJVC1Yf ffmcqE03TU11oplxHshISbzeKYD99UsKihUbLvFkq/DHJ1DoxPzixOXFyfWv ayU7+cBJstF8351KEiZzZZmwTe2DYg8Qe/tbjDXQjx8d7mysje9uTc7O9qL4 0T5UATMusaG9cW9/7vx8eW5ppLmrRZuT8yCA8IVb+ANPihtS4IYSfP2S9K8X pIfvaCoBaGxoqUvONOrSk+ubah96kZyD8d+/06fBnJmPvMDiQ/vWhelPofix n8YbY35l9f9gOT3ZX5jrXlsZ2VibXFzoq6nNDKTSn4TRJyc7yuvKmTGSDJMY zaGX1JRVVqekZMeV1qdPTraRZWEqk1ikIseqGcToUIu16ANHI/Bnl10VYxtq XJzvq2/MkakYQOrpM6I3t9cvzk7AVyM262d2XISefHlxPjzYAln62suT08TV 9fk339l5yY6Pdvt7a7o7K24BXldHeXV1VmaOIs+clGQQZhdqVtbmB/obu+wU AeAGQ2Y0ENywKM83J1XXZYJ6KZLYdQ05Swu9m5szsJ/2rV3ps9Xuo9raf6ug tvoxItAFj4UBAIA9ELfPDQQKfk3DoPmxL1CUJ+H+LkTETaYqO6m1OzXcM4ID OQR6kDzDJdPzUDT0XVF1dZPO+DAtOz42kdbQmPvmDbSdOdjfBi0M2s1qLa2q yursqBgerNvamPopPijwnIuL84nx7rmZoZ6+Zl26NCVLVliSUlisBWA74R34 hI+klEgwZvKKk1vaqto6qkHXzNoxGKytWl8dBnjp+BhSQg6NTjd3DHljYr57 BfG+fuVMcsMyHyH9hPEZYCD4kyXPMEEQGsSinKHEKzceLI7YQH8au6C6LlRA A4DKl0b3JFGeov2DefTe4cmnPmznYMZ3bsRKew7i84v/2K72j4wluBNbOiuJ In8AWthyIPiggw0dEGdjrI4Rp2f3DdSIEknUqDCLtXhmsqO4SK/NiqYowkN5 fk/8cGA39269YoDFH8/TlNZ2tPWMLCz/KOfI28vLAVtHZUN+QnokSx4OxC5T Bn4RzYhFSpMoJnNCfpmmoi6jyZpvKkxQJnPzSzR19dltrcV5hWqaLNw60Hz7 wld2Zniwy00uzHHEhvw4tBB2ng/ASLmy1MTKxorU0sKv/FxUuVn9A63l1ZmN 3R2TC/NnZ0eWjprDwzc7uxtXv8zd9O8vcJdZOmtjVHSwYiSlCCNEgWB3ub65 YjDKlHpedlVaeon2t3YugFyDYz02O8fm+QXEaQxf/uC28/OzlWXI58raP/x3 91CcWJVTWRrGIz0OJT8KJvsz+Bs7M8fHy6oMAYBGFGlIeqF8Y8uWWiAjiAIB ZgaoBlyUJTPLGtLA8CCKAvnxuPxKPU+Bb+mqXVxbLKrL86Fh3HDoF2hCKAuX WqCaWeg4Pp45OV3Y2h4ZGKmN0lEoUUEAF8G+ZzhxYJgAYuoOFXhiJAFUGYoQ AzFsowTeACwV1hkHx7rhuvyF7GvX73pZmVIcTI4D02HANuHgC8XyPHzNuPea zI1T+WElr1FCrwi+cwAnkBj1EsPoGuxoabd09rV//xrKrwHmFDy5BHJtcmb2 Ny5kf5xIn2Vy8GMB8AD+pEuT6XGsaB3kUPf7GgcsuYeHN6kKwMBYWp67uDhd Xd8uqrJOzCz9DiUSXOvz8yNVikmuz0DxJQ4IKgBC4Pjn6/Ds8mJ7uhOI/mj/ YH50akCdmeOGFH7nSr3vRnUK4ABYCOee+96d9tVzIkOi2d0aSTXKqULet68Y Dv4AXtLe+avbvcrtGX6f+JL9aAhEpCdFjt79Vc45f6TAcaCHdqeRofUVW19/ tSZNpE2VR4jpk9Pt/YNWSYJUlczNK9KsLPZn5MRV1WXtbU5OTbVLNNSJCWuU jhEuhAxtZdVp3R0VbdZiICXbrTdWKjsfUeXQQP3IcPPAQGOztdw21rO7d+O/ cXx8cHZ2cvsan6+CJyeHXR0VnfYotuqq9ImpgTvukRCxwNrqeF9PNaz4ekdH kAfpu1IiFRo22PfJ1cz07DgAourrs9OMMrVeCMtuGCatrc30DzZkmORqPd82 XL+3A+mOTo4/zprxGcvVu4ACpTE1XMIylla+xEQ44YIeInx8mSR3Es7Omxfi RY/wJQockVi7We1W3AB0FOzLivDGC5/6U5ywYc9QqPmlzU/+0OL82GB/k23Y mpIRBSDN6vriwsJ4RUVqe3v5yspsQ3PJ/PxEbq5qZKTzF995b3e9pMwAmjde y43XcsAJAJl27Rz/tnmVGk5cEisuiQm6APzi+OSA1VoFx/vbCZc6BvvrWlvN 1dU5G2vTuWWWx97MIKL8nivlkTf9kSeUKvplBNI5HJNdUR7KZzsgAWIMcwgL 96UxX0HEy6EAHLoQkD+E+sWn5bMSZVx1HCFWWGlpAsDyfrBXXafVWNT81XPC yxChDzb69AwyF/55hu+f+KHf8QKwj72pNJkWFfpBxD1AR4L4CHCSkhOdng8k Y0BOiXpwqD7XrI5KpEZEh4YKvDBSH5fwkHuvbrZyMEb6BtoDEkHjBJHi4DhH UEZHe6qrs8tKU0tL06yWkvxSjULP4SvxAB3d2tdgW5swIUKiIktVFCCCY0Dn ZsamZcmr6vPfHOxBVAKwlLwhsF19SQAdBzmJuRAQ9qx5CDv4D32GCUBL6Pv7 e+sbEBlFQ1cbVszc29+deWfG+s+WW3NedUO+XMUAa4UmJZIbh4tS09q76nVp UrDCCNXUuCzJ9U0i+1/o2Vsctbu1zo4NTy5MBOcphaqy5sLrdzu+jx8CrvSO TtS29U3M2wgxpGdInBcF9ziE1NJjsU22SdRkgI5Aj+SWq2fmOxQGLhFCRxjQ U9So0KQsUV55Ek+JA+cc+0WeAmeb7Lc/+HBreyIlPys+LZIlA2gKSRQHksTB AHjHp/MLKnWl9WmceBxWFECODqHZzaz0GCRRGowTB6BFfqF8gJECxTqmPE1o KFKbG/OiDTysOKClp+7PN4P+W0p77+jO3iFA9C+C2ADSPIIyaNCfBNK+8Yzw x0m0GcYfAol+BMnaxuRrEq9nuNM23r+9Oy9WGQBmAHMKAKGACKlneOTfnuJp kfE7WzMz80uNbYOGnOqvXxJdw0T+EbFxGtPePpQvwG7Y/v0L0crKXG6eqqQk zRcn/psDDszrYLIiLbfGNjJ0eAA5nf6aRQYea2/fnooVeg+0MKu4QKzWOIXT nyFpHgROXlXZ9fX21du1vTdzlxCT9t7O7nxZbR1kYfRkPPRiPPVh3nOjeiCF gRFSsFA7+nNSTPkqvRRNYzoGEgA6Aq33yIvOFHNehTDvu4M1h/bAjfE8FIcS ewawX8VlRtpdxT/vagww5NbmDOQ2M9+7uTZSW29SarklFfpILaW9s7ShMdeQ FQdAQpMlf3V50JgfX1ym7+uuamsvSTKIxicsheU6YRLJn+NqLk8Z7KkdHqjv 6aoc6K3p6gAYqaLNYra2FnV1VLY05a+vzt5t2M9aqY/L6enx4eHe9tbqxsbi j9Ua0JvMz9nuZrO1tpqhiLzOSgCocgoSUzNjq6ozUzKiC80aq8WcmhULGkSV LICFOJDszdZKZZY0PSdOrBTp0mTVNbnGwux4nWJ2ZnhjY7m7p/Hi8+cfgRv0 5PQ0t6a8oaPTi0b6NsgNI+UV1FXxkhR2psRQd1KEOxqABMQLwk3qsdtEDME8 hm+E9FEADuCHJ+F+ArVmbWtzdXMzt7p80p6FBN56n50d93RXt1vMVdUZmlQo RCg5HVrkNQZRXZM5LVthzEvIK9I2tZRcv+e2+uhVr95297d097dOTg3mFqjA eFOnCO1RgQLY6Qg+wPWc/ITq6syikuQ8sxb8kDZNAh5eXGxoaspbmO0CBxi0 zU0FeXnqnp7mN3ubtS19XzpHAIz06DXLIRT7LAz7nQvDISjieUSwIybYk4Z1 tntYPQsP80SL/NkUe3Q/4jke6YAO8idKyltaECLm8NTE6dkpQEr3gjwpcZLD 45NXoZGvQoROAbzc0pbrz+nie7vo3TVrwuxD4NL6ztb8yvLveCz8zO3dzYa2 8lgdG8g+GKvcZSUCn5EJBHoMQppETc2VRampymQuOw6dkhtLiApFirzosVEO vjy7H+kNRnrkxbC7BLD88LGzizeungcHe+trixPj/eaiZLM5GSClsrK0BD0f 0iFA3EdEeTILPD+rKB4sKX0DNW2dJQUVOlIsghGPZyUQ82szPtEmV1fllhpH nNPzCN9n6ADQaw7oQAgpEUJ8mChnfGBZS6P9Tmhen97kwri+pZP78xW5H5fy muw4e9AB2FtJVdSYRFpeaUpyBqSIjlQS8NLgjFIdfOcv0UzdlIO9bb4Cn1aq BeeKTEluTebF2eltqp27/373fHFtTpYuocShSDGCJ6E0BJdBjQoDAFWYSEhI 58UmMwF4pkrtQCgGGh763OjknCh6NIIBaR3R4DpJHFhUY7yGWnun31YriCfI 9DSxmgJAkVhNjtJQBfF4cFuE0B/N9cYL/MAw4yqw4BNWJAKczLHbW+mxSKmG IVLTCNEhYUJvXFRws6X89Ojw7PzsT1gtP2u5uLgQKrLsof2Mh940BwTlO29i qimfLlZ96YGJkMYdHM57UwX9o11ziyMA6jZ1Nt/3oDn4sINIMWB+3Xej6rNM Jwez5xeXsdpCYZxRk1n+5XOCFzpSpEz2QAk7+iDw/7sDuHb39itryszmlNIS XXWlni2OgnwSoC0PDRz6rNzjw1/lFwEXeGZNTA67BHPHx7pzywru+Uc8CaPE pKTaJgdPTpfPzlbk2iz/iKiYpAwiP/6BO80lhHerLgN/Pg/kkvhxgQTJa5TI MZAiT+Ji6NxngREvwvDfuzO+c6VhmOyYBB6UwBdWN72mh3FDUCLvAKbf0Dic oebfP7XPTg9WV2y724sHbxYbGrM1qeJWa9HO5nhFdTqQev1DTf0jXQADQB4g GVLICbnNPGJrTjXGllUYujrKy8oNhqyY9o6SzGxFVUNWqNCLHIsA615xVdrw YOP62uTa6uxgf+PQQPPK8vTJ8eH29url5cVHK9V/WIkKv8n6+lxfT22XnfQb CrJrKWptLoTZCTqskLmtvj4bXAFgqcyePwV8ZcqLT9DyYJmu1HB0aZKaJhNe TP0+gPQSQ3+OojghyS4YegCFmWlSt1s/zN/xmQq857JNT7iTMVEGbU512f7h YaWlCYrZJyBfEEKd0eHOGORdt+13wVyhLmjK0xDMS2KI3akjJERA86TjAKhw JaFuOH9gktjjg872cjhWEYAiWMkDhfLlq3TpUkUS5N+VU6Q9Ojm8bd4PZdPV 1fRkn7lEl5oZk5wm1qaChwjuGtTeHzoeaOe6umzQgL1d1WOjnRtbq0srszvb 69tbK2Do7u4sHh3u7u1tzc2N7e9DVEszC6svggWuCIiL9VkQ+TUN5x0hcAgi vMChXhLDXlOxLkSI6QhU80kg3o8scCHZI9rwSGcs8pEvaXJ2lSgX1nVYwaO6 RwZB9R8j/YemR7r6p7oHJyrquwKJ8j8hBdttc4GJ02ytODh8A8Tr5uYyRREF +vTq6nJ0ov+3PhPuvuHx3hgdK0bLFKtI0qTbtGi31NYomJ5IqqYUlSUDkdfQ mnuwPZVZoAwX+SRmZnggo+67UW6VSDBG+v41Dc/V7O0f3f7Kzt6WqVSXlCZK z4zNzJKZTMpEPZ8bhwUyF3wK4iNidUx1ZmRiuqCpreD4zdxAfy1BGhzCf40W +7LkMX22mfT8Or2p6uAQmjWwIFjdXC1pLmkf7CTKOOq8FKoi6jHSzxEb7E71 Km6qWFxbfftj5cl/3H0FfoGuvmbbWE97T4NCw4G3VGDFiFUz5EnMpHQJ2GOC 6QP2F5FKYhjf09yYe3z6CwvF3t720RHE6XdyuM+NwxmKky7Pz2RpwoI600C/ xdpRs7IyN7s8/fE/wjDb0tdEliMJUunTMPbDYEoIM5wbhwLARp4CYDMWgCXY YQxGNbpsqUzPBPAJvgIjanoMcni8Y3lt+Ort2vn5rqW7gq+MoEaFwgmIwbgC j5LrWTllKmNxIhhj4H+J4iBwQ02LUV8QG8bzJEWFREiDQHcLEskVlVl19fmV 1dnZxTpLR/WBnTT4r1suL6Hxv7y27Y4UA5zzgwf9kQ8dAKRHIWSuLNUXK/3S HUOKUR4dLfjRhMMTPfa8rnujU/3fupFQjLiFpREPpDBWnSpWJlvamzCsxH88 wwH08tVzYjApWiDTPQ9k1zRDmvnfN7zPTk8uzk8snYMPX5NcgtmBeAFNIE3Q KHnRyh9eM8FcfubHoUlSt3ehAfbrfsDuAb6/dno4zopSE3lKY3GuO57zOIT8 fSDxoT+lo7f9+vpod2+eJFD97ydYaXwKWD280CJvjOieK/UdTKJ994qYqE9K M+X9ywVPElIJHM4DD5o7igxA0QN3+hNvulLDDyayvnWlgSv33Oie4QyXUMo3 rwihlNjLn83j+ZvKuwUE3l5drq2MToy3dnVXGPPiJQpyTb0J7MeBwFLp+aNj bWVVRqWWA+/oAQbIzk+oqs4EJyVlKd2dFZCOxVJcWKyVqRjDw42tncUyAyfe GLW9uwW6AN7K7e1tXP537QU+vZE8Pz+1Jygpbn8Hh0rLDd0dFTCxJExWAFAT 5GreWQn7WYErGSY5pPrQC1UGYWFJ8t7m6Oxsj0yvB+D5W1+8E4oGjnv+JBxf EGdII8VoT04/e5Y9uGotvZ2W/vfes2XNdU64EEds0At82Gsa5nnEnaC2d/Fc ADU5YcLswOkmU4MzLsQBExQRG7m8sXZ9Zz6en5/19dR0tZdVVmWAwXDjSq0X AIxkN40JcguTZqcHLi/OqutyWqwVH6TuhZ8zNdmXnhUDRQJCLFUybar40wAJ UiJx4sFj9fzsArVtpBP2d/qpAktnubaQJjH442X3PYiuRBRRJnhNxT3HYCBG QQLSlQzlNn1FQjihES9CuN50ApTzlBj2Ek38hyNOqS9p6e1Aidhg0oFX5ahl X/v4qDKK4OdfXF5Ozi5/DsELazzOLy4au9rO7FQwJyeHKYVZUUkiS3ulbbxP axDKUhP9mATwVVtnbV5x8snJ8W/aaMMtD7BWYXUmkGWpeTJoXy97lxbtndEN 7O5J4qCqhsyU3Bhtlhgmc8gt1oQJXj/0CfvOhX4XHdk3gJA7wf96gtZnQyky 4cVqa3ejtbu2o795aLR7ZLzPNtqdX6TLK1RnFcXTosMAKgPQS6KiyJNZxvz4 hsZcuZ4TxHNHRnp5EkLBavm9Bx30xWNvJoC7dlPLj1ocJo89Oz+nKaJCBYy0 0qzljR8lVvuv8l0pKE0Be09wxGvfTxa5hgVGterOvgBaZvV8qjQktVhTWGcq qsve3IFiYO/WBa5gR0ft+AREfXN6fMSBAJJm3NZNj0WlmtVCDU1jijHlJUbE hC6vzl1cfMjnAHonpSixuduKFsY8QwV7k8IjE8l8BQ6mX7B7pqFvra5iNYmv xNOi7SFs0QhwD1+JA30H0JQqQ5iUJbJNWM01+s1tG8BRLDt2gvm3wT20qDBD XkzXQPXcYtfoVGutJdvaW9I/VoePgnAR5IMk9AYnAVzXYL4HThLIjA3PKlDd reZfscBvPj2/6o2J+volFOb51If1hTOeHBPfO9KL4cn/xxHLUWj7RrsODufD ONKx6f7F1dHr693JucF7vhHChOS3l9v5peWPvRj/dCY6+rPBQx572R2ZPBmO fmwPpKC1rRF0I/xrv+nd7ElD3k5M2goKdBUVmXn52kRdIokjfRHIvgdQhydk Mf/uFVmXVdzcPnR0fGa3cf8q69XJ8e707HheSXFnV+MTb4alrd5UUPDlC8JD L7pzILelw5JdUh5EjAFrBaiCNt1IjUwESCwp1a5hs68hj71pj3wI7giWPz4S LC9uCOrLYCjTyiPIeZtuJ9WkYRjs6AQe7Izk6M8Ax313+lMfRqSMu74JT/9/ s1b/8vL8+u1ZaWVqlJKiTuEpNKz6xpwRW5MiiZ2cIc0zJ8Um0m7tHUD21dWZ 6utzKqrSYU0LgA0ALZhLkuPUrP6B2q21kZKaFFma4NZ69eOt3H9Yv/0z5cbJ YX7M2lrU21UFK5EaGnIgwm1raeedoLaOO/lKAESsrTPF67hxSSyNITIjW6XO SG3rajh5Mz40bGErEu4HEB4EEhwQVAck7QuPMJkh4/ItPOT+vHrBOZc3drYc 0IEBbHJyYbYvi+CEDYEzjkEh/zBMwkKx/6+gdK5IZ3yoKwnlSgqHqQDaBuC0 9e/H3vnZaQ/USiXNTflZOYpbfyE7RgLg2TDQW9fRWV1YDLlvJWi5A8Mdp2cn NY2Fb+540wGUNTU93NZVl2tOVumF8fZsL+8g1o8AEmSSSBEm6ngJOgiLalKE vf0t7/wTrt45Xt0UmGCpd2gKw1JtbO1GKo0eZPxLQtgrEuolAfkyAuFCRL4i gpOwp+iAl8SQpwFEVwwDUiLhQzwoEWD2gZXtzcERRspt7oG2aT2jg08QQUQh ALfnn5U5B37/2tbKB8GvWUqxLkePlbAfI31EStbq2gJo50gl/WGYp7WvA2yx 9Zkx07MjxjzVm9/ioAjftrKxSJYEazPFihQOwCofpv+QoynSUKWBW16Xjhf6 tbQVGc0J2gxJUpoohO/pQ0Y89qHeeEu+O8CWM4wa74YQabMqrj9S++/sblY1 F9Y1m0tKDeYiXVtbCRCsRHFQfBrP2mYGoyVBz0cIvAPYrspMBUUih6J+7HEr AB2BT7486/bN4cxxd4ciOD84+oRF6b+ngLcqqcyUq+gA/PykmvR9JIJQlsSE eBpjkW6kx6Mzw9c/pjG3r6FXFkuFbfjGu4+rxKcUJ40Md5IkwYoMcbjIP8kY k5WbAOCHqUC9CWX2vKtSgx41szCmMcXSFFhOQnR8hjY1PxbWIn48EsDw4Cmw wgQCAMzKVK7CwAH4R5gQAQASwD92Aitcc2fhwnL/9Hx7cU0KGDnwQ9h2f2yy JASMNH48PkbH0GRLUgpiY1LZABRBqcAjfVCRvvGpQrmOAwAVP54g1NCLm/L/ 42bQP1jgwVnb0vf1C+L91xQkM3ZopD8+rZiv0gFEX1xX8X87hBhLzWCb8vbt ZlapGQCk1Y0JMEtW1iccwqia7BywNFY21HsgI5F0OZyaBFLSQhFeVG905Mgo 6PfTt/Bs+F0lKaPynivFE8XHMESCGBmBI/HHQaSRN16Fr+mJybqe7rrdnd/A jHT4ZnFpodclVFBYWuIZHukcyElMyYRXCSgfymv6F44R91yp37iQEdTYve2J pta6Lxwh1qMYdepXL0gALNnvhFRDj72ozgEQ5gnAM+8uMvARRmG9RjG/c6U7 +NKRVJYdNXE0Bu7kNESY9gcBEjzwqpt7W9r7z8/2wVbi+Gitsq4mTiPPK4qX q2X8aGpjs2lgoAEAJNXtpuadCSm/KAnWqMAxXLeYwdJalJwmLalIsU10GStS +8d7rj+ERv/t5WZnvb8NYM+ordk21ACQ0q3u6INEcrcVb2kusLQUVValV1Sn 2/20eXKNlCCJESZqGq3VthFrQ2s1kit5hqA+DqS+wjKmZv88l1G7+8qNuWH/ 8CAiWsiIj5leXGAmxjxC+L2MgLK1QvnIAEwi3CiRXhJDfwgMfYII8WLgPKiY 5/hQAJCehgdw1XGXPw5DAyjPNmRpsxT399TU1hrhcDMIHem4pWWQ7bWwWGdv EH6SIbK4LHVsvDczN6G6oeDsU0lhriHq7JWaGmOBWZNulAEsdNcHCT4ALjLl xmdmK1IyogGI6uhphKPAf6r6AMzML0O778L6yicof4CFHiP9QF0cMUHgBEpQ S0RGatXPcajHweFgCXIlokF93SkoNzRDrARr1PX04vzK5jq8WhNiI3WF2Vd3 gqr+nV11pxyfHBrz1cE8shM20Bkb+Dg8MCIS3z/Q3NZRHSknuZOQpBge+P2S yqxUo7ywLLXZWnH9W5YF+M23djcs3XXF1QayNOTWBwnWI0FmFBmKG4cpqUrh KXHRGlpZTRojFpmaHavPiEJF+qAlnv6MwNv1yp4NilbX2gdw+OnpGWxcuP0t 0FxnZydgr5qeGWsyKQoLNHkFSaUlBvCouGTu4EC9zdYYnyYM5nqE8f0dAjGe aLEvLu6e63v7HVhjv31FrmzqufrAo+b66vbz+o9F9v0JBfSUIon18aj+KX0p uHNpZTa3Jmv3zY8yT8FIqcpaSpIEjdqgcPi19UV2HE6iY7W1llOiQiU6Jlrs n5AuNuYlBvNeK/W8rY33CXnf3uwpTgZGWqjRYc09TZeXO/mVeipkPsMAJAMw DyfOHtgYh2HFhtOjEVEaqkRNIYoCG9ry6ttyiKIgmJkBDBvwCWAVWx6+uW0r qzfI9AxhIoERg7qLsmCHJXAzeBQFIpQIAigOJw4IE3gF8z0CuW68RKK1o3Zi YqCzo2Zlefb6MygB/uQCqzqHx+e+d6f9yx0n0uivr3bE8abmzpa3b490ObkR 4riNrfkLu7tyS3fL9MLwxtbU9fXm1dXWyFRfTmUJwD9ldXXJxsLFlUmXEP6N M7Mn48vnERl5N3rsjxWkn3T1vJ0T0Ew8fTM/P2KzdbZ3tojiEv3xQjDLvnxO /rsjEXzCAAmgo29fUb5wIn79AhfOkBtyaxrbBje29n7Go+DKviROzcxo0jIB 2PXGiN2hCDUKzFn0/Q3vJR0mBgFXvnUhdw9OXl7shZGhxHBTk11g+f3uFeUm SM2TDhvUuFFcAof9xJt+dy8Gzh9ATto3CiUEAEtI5stgmi5NvLn9IxvH7+07 qC6SxLyMnJydTdvZ2enl2YZApiooMZ8ejCu06Q4+eKU2obbBJFd/OJ2BvKuu zuzurPgYMICLNTVZunQp/HZv3uzYxnpuuvEvUuCGXV2daWnKnRizzs102zUk ZZ+ERu/ypFQAbKBPl/Z0V22uj9Q1Zis1guQ0fka2LEab6BbB+T6QoM8x9g20 eBA4/3DCZZdASR5nFtb7bdO34+1zNxBcr/2jw7KWhvnVZZJc+H1QwHM0BrKm oVF3vI/CXkaEffMakZpbrSs0Qq5Kdr5iF0L4I6RvcVPt9Ud0bZuby7ahlorK 9LuDBECXgiJNZo5CoWGDvbAuVVxVnQWEuzZVUlGVeXlxdv2BmLODHNhItLY6 W1dnam7KB0dmdtwHMf7gyDdr6xsLOrtqrB3VO7sb1z89HWA5UtRQxdcow8Wc IB6VpoiqtDQ2dXdgo3jRqVovOh6Ape6Roe7B8Se+kCLXGUFyIYY5YoOQQvZr lKR7YOLdo6CfAHfytcrP0D+fKOfn55G6BIjGnIAEiIgaRVFnaSJEZE8K6K9Q LzpOl5uSki6OU0OO8fOLU7wk+fD0xOXlxeWv8Om1F/ieq4wChdYoBuKPHoOA zGpxGEUKB/JBikHGaOnKFC7Y/qfnx4Eb+Ep8eVVaR2cZRhwQzHPzwKF/eH2z uQPr3lcvCImpJT/ze11d9SUlBrM5ubBQW1Soyy9ISsuKTTQICwq1HAXek+6I kXoFc33Bogf2mPdcybeumzDnyTcupFehwuOTn0yC8F8JjaBXuri8yCxNrm02 p5rkYGr8SoAE70bHp3o+9VBowkTqmEie58CABfS4QE3Bivx5CcTaqmxqDJIT T0BG+sSl8HOLNH7sV1IVtbe/ZXlj8R3qAHvis6ur056hupTc+GsoaGUhWsso qEyVqMnZZSpTSQJe6AeQEiEygC1DJ6TzRSoSGBIjE00r64PRWhr9Trphtt0O W9mUB8YseLXLy/3OgSqGPUjt/T0yNGRrs1tUYQdvngJHj0WyISc0gjJDbG7M Xd1eeV/B/8au/G0Fxuq2iXk8VxPGjiuqKz85WQ5lSO2E0ofp5oLUonyAUc/P QK13m7tbFlfHtnam7VHwmweH852DbdfXOycnS2vrk2DDVNvSBJvYwGdSOmjq K6O5ubz+Qwek9wLlJ9zy7eW4uTnPZFTk56tqqtNra7NKStM1KSpBjAJJlTgH sO+7Q1Y8mlARKVchqTE/vKbddyMHEmP98LFbO28gTt933qR3fwKWC6OTk397 isEwFe7IyAceMIZh3HenemOkz/zYdpdFu07Yi/mlM4EoSD46Ps01F4HVY3DQ UtdYDe753oMKQSOPGyDk6M9w8GU4+t9wZn58AKTkHMCgR7JCyaI4NXt1/Q9R Zt3sIOx1kWkLKmvKdrdGwZqzvDQuitO1WOoP98ZiVcn/dCIiqWxdGj9eB2mD wV4+AbJr3IiqpsY82LL2wQEu1tZkmcsMM7Oj03OjtrFeU4H6rzjUgZTZ2Fhs 76ioqs4cs1k7Oz6BBu9qkECDaFJFhqyYru7KN1tj4sREbwIBSPYMo7imoUCQ qPnSC/MKxxKq1ChmdE9Py8XFae/g0KtQfgQ3aXPrffj8Z9393j4bIWDd9wsG EueRH8n5DjoCwMAZi/zGDWMsar64uBKp0x6j/ABGeo7GuhBQT1B+UkPS3efA J4eHe7CaKCUj+i6Ygb21k1IiE3X8dJO8pCJdlSKorEwb6m+Ek9V+4Jx/dHQA RktRWVp5TTb8nOQ06U0423upAbvAsVMyo4GsAfvx2qaikfG+n6kyePTs8uJr KlaTZzw4Orp458J3fAoRSiiyDI7Y4O03kHEqLa/2789wj7xoL/Go5/hQD1o4 NSpRlVr+1s6WcPtMIOz+rd3ykwW8KoBwzrgQOA2rMy7UAR3wDBvyHB/mSkQ4 4UKJIoI0gZWUIhAqOZ5UND5G2NJeW9tY9Ot/4goSZxc7OysbqyOV9ZlMWTgt KkybJQa4COz0gVCDo40kKrI4kQwH5lc3ZNmGmjCRfgIN3Qst/ddzIhy89s1L Il1iKK/rPD278XX5eCyDLl5bW6iqMubnJ5kLdVk5Sm4cFi/0bWqvGJjoZsez vMnB7jgUTHVyFx2BXe0zPw6GrVakmP8cstx/X7GP7ZPDeB0vzu6MLUogq/XC hF8HkBRJbFNB/Oqa7eRk7/Zpt0WUzArjegz0tfaPdSMEXjhJID+BWF1ppMYi IqKCEUJv8CdHiffnuMp07HiDQGmMAv91cLQ/OtUCxhdY53qGapOyYu36veWt nZndN1PLa4MzC52xyYz0QnllY0ZLZ2F1s5EjR8v07M3tcdtEIzQk7PolpuzG T5sgCihrgBJjrW7MTs+P2tOOnNkmmgAKAqMIdmcC98elsJOyRDE6Ooy1AOoG Q4siDi4oT72t0ceq4FuL+eftpc9WQNNubC9GatLa+i37B/OKjIy3bzdglVEB FGHxxq5B2p6YHdzend7enYEzcRweLcwsDl9fb9mPPWuXtaqx4XkgFwCG716R U7IrZNrC//NeaBAp7u5qDKOj/b2V/Tc328bbpjs9Pd/f37G0ljQ01+YUN0Mk gMX68rKUyvIU8FlXk9nVUWjrL+vrLgP3GDJSWKJokUyhNYBJml5ekVdRXbS7 u31yenl0dNjUZAby67aCdzsHdnVo6x52CuD9/RkWYp+zz19w8iKY39YzHJuU 8Q9HPIBDD9ypzoF8flxmRX0XJTIBx1Y8D+RMTVpi1Ya/OxI8UcxXIYynPpAS CVIWedCf+NA/UCLd0SYBBEUqKs84PHwzNNp9/gf8nMFSf3J6Jk7IOb+AFnlu bHqLpXZ7fXhhcbajq4UXk9TZ3bS7ZeNEq//2lBBGZmoMQB7xNIZIIPoVGnaB WVNWkZqRLbdzYufdRsG/B0jtkEtzV2elKV9VXmUcnxqM13JMBZrevqazXwrH +C8sZTWmuCRmcWly13tK8JLbzCO3f8JHc3NBcXmKPIlVVmmwjVhEaq0bjkKX UEBzTU+2seISv/XF9Q02DQ1Zc4ryNzdm3p5vJOjTn/owR0bayuvaDo5OLy5u /bU+S3XgyQIGAJqj/NKJ9MSX5oQOf0kIhRn2XkSEOKLCv3lFSM2tyy+zuqP5 jxABL/Cox/5EbyrZl0UAchlgieo2KLD9XVYQiEunrMqoUDMtlmJzSTJARJ9Y 55OhaH25mplhktsGW07ehR5/9G5vW9oqI2OxsYnUeB03ySACAw+OCFBqoQMm R4pTM8EP9XRWNtbntHdUtbZXtbZVfbCXuaOcv7l+cHS4d7APn1++810B9y1v rL+mYUdmJu0eLMdIRsITb/bTILwrGfkY5c9Rx901FV1f/3maUHiPZpuacCOF O2KCYZ6fl4Qbwh8AljypqGAWFsHDy5O4rwhhDpggbwZRlMCdnRtJK86ZXfot CVivrjbWJoYHG4RKgsLAqazPoL4jR4I/uQoskGXgIIqD9KboyspMAPt393dK azrdECKAXv71gkCOTN4/OD67OMFKuWw1f8PuVHxhj1T94Nfq6vLy8lQVlZnR KmpkInlseuj45PDN/qk/Xg42g2C5+2ABfASlZiBmFTUAxHh88tfLXgq3QFVd brSSxFbghPEkNZRS8EO96E8dEJrS8WxjDZeXB++m3RUAOQV1Rq6aHMp17+qs s/Q3BXJcQ/mefEiDZKLHoiDnZ6EXJQaBEflBHIxif6wkENxgm+jrHW4HvdzZ X5dTqpHpWRpjjH2+bF9f72QWKecWu/Irklq7Cu3ev5eTs608BdZUkgTkeE1r NkkUBEe0UaQhYGDwlXh6DKKpvRTUcmquR5oEIZ8YHcOQF11nzS2qTgagSJJE 4StxYCCBTwCN1FmRaQXyzCKFsTheYxRHa2lSDa2+rfTt208MlU+25N0//2uB E/xey+tbXUO95+fLhbUVkPvA7kxdWwNoZ3C+uDra0NF4fb379nINRkSghSHl kj2X6+Xl6puDOfA5u2jb2p1lyZK+eIl7bA8RfRHEdw0TfuGEdwuLHJ2cv77+ EQeItXuYG504NjG5vLZ12zZ6UxVJmHx2fra8PF1SXoRlyV+F8p5601BUiUie kJqpNxenRyvj6MIodbK6otJUYFYVFiYUFmoyjap4dVxufubCTMfK4sj21tzJ 8ZvK6vz6ZsixYWqq4/wc5i28htOn3pbWLlt6fl2UOg/MXKcAMDQFf3fAVjb2 vHmzFUgQwwzh33vQalv6IMoC5whOdNJ3rlQsSxivlT7woN53p4eSWSEk1j3I N/tmHQAY6ZMaJDvtNjEjL+sPdhksFBrbBv/HAdvZP7a3f/gqVGCzta0u9y8s 2Obn+hnixJGR9q31IQDnQKXSso2uoUxOFEeTKtKlR6ebYm8oH9vKGupz8wrV AA61WYs/wEjWVnNLc0FpuaG3q6qoNAVIxnSTvKI8ZXlp8vqvoziFp17foDUh madLk+QVJr3TmJU0ALls98oGVyC27bZS0AgAMoE/e7oqx8ZaQFvFJ0cPDFmt XfUkqTyUTqqoze7pa33oTyqrK97fHi0oMfcPWLa2lhbmB54H8jJy8xpbahMM hVxZ5tzixtbOZ4xshbcYi0vb7mjucxzkiQ3xIhIRz7BBAM498mTGJZsjlaav XBEO6AAPIvEHOxMXWijxY0e8JIZ9G+gu0CrvUvbVNRblmnVzs7b6JvNtQpCf OAQJWk5vb8P1p4bB1bugqo6exqKyVH16VHK6NCtHacpLyCtQg5O0rNi8ApXF WlZfnzs91X9ycrS9tXx89Kva6pNecLdncytLh0dH8CWwcWhqH/rmFfEVIdyd in6GCRqfm7n+DyWBglUlC2srdIXIERv0AWs07FEfrWIHs7GOuNCXBKQzNgBs RnKqip+hA1c27SlEbwh0fmbSwbq73ckJi7lYL04kd/WWG3JjgPiDyZHsntuQ F4oihZNVFK83RcVp2XIdO0pDh71iugcn7tuTb84tQogovSzrB4SPI+51cZP5 zeF7ZtSrOwwPc3OjQKYvrszGJLNtkwPwDdu7b576sh5Auv0PF8DHXsx/OuF1 xsrP19SftcB1f7O/09xWubg212StkEEBLzC17I+YvlQ//vNWjwQAksYgrG2C uR+hZw5O9BFiwnhJlGCOW2tLWWtvAwBIABRxlRHqVBHW7tuDEHpToiGgixb5 AbAEYFK4yC8qic5T4AEyScmLxgv9mLFIejSiz2adXegtrUtXpgpzy1QHhzMw DUBVsymQ6lpQZbq83EgvkBMiAzhyNNdOaqTPiWrvK5OoybF6RlVTdnFNJlkS kpoft3+4VdVSrkyXqTLEkYkkOImMMCECTkPMsCskYafuGB3dkBcLQFRZfcbo VOv19f5HzXb19vKyqsVc1145YuuCOZ2uPjWefx9SgrdRn0kkwYilc3BkaLwb wKGJWTDON09Ol1bWx8GfV1ebO7sznQOQEe0tDIp+fEAXr3fLm6qfhFISMrPI Mcp7PoTvPaCkbJAWxYN+z40azlAWVrTecmQBgQ4AybevSD7YKF98rLm66/r6 fHtnR6g0OQXwxqYWrq4uFxdGZyfb52d6F5emlfpCd6ToO3twPXjmfTc6xGjt TifzwW6UrdTycnJV+QVJQpmAwBFxpGAFTqmtzRnoq7G0W1xCeAtLC+Vlhqam wqXVzXh9QVl5xv7B3sz80s72j1KO1rX2M6QGa9fw359h3ZFi8Kob6xPeaCGW FfciiGv3qqKDd3ZHCAIJUnAuVwspIuK3bqTv3RkvghiPvd5rjWCPo08BJPp3 bnTvcMbK6qxdi/Z71mq4DWcWVlH0hP/rAUqflT05PfYiWDA12bmy1L+82D87 08ON1kxMdKyvDAZGSNFMOfjqsRfLyZ/uh2OTBXx9hrioWAvTJxpzlPlFSe32 9Go/ZXUCnzU1WY0NuQBFtFnM62vz138pgHRtzx2pz4iursoor0gDKAgcldUZ HVD1FVVVGXX12eWVaa3NBQAQJqVENjXn76yPAYDETSR6kf3dCFhlavrIqNWX xo5PTz/dn2BIEooq8vZ3xvr6W2sbq7p6rO2dzRm5BZFxyUd7Y719LZl5+U2W pqHhtsPDnc9Xr8u3l0097R40zEOELwAAbhTkI0RAKFMSRFRQRHo0U4XnJ0TE 8qixyu/doZnoiMC5klHPMTgkOzomVYuWcEky0czSAvy09Y0l8MCGlhKZiv7z gTlgkQc4c2vzJ4kN4TbvHbSkmeLSjDKNIVINJWKITDfKABoHTd3YmDs92Xv9 41H0AYfe/pvtsdHOUXs21dPTI5gH4JMA6aeugCKIy/7iVRBfq3QhILiquP/0 RvVtpFrqgA68C5BeEsIcsSFIXgRJTAInLlCKjRBGNFWu4Tligz2omMPjk1/3 cKhex0c7q6tTM3Oj83M9lg4zEGFArlGkoUAU6jOjlDqOQBlRUZXe0lRYVpZa UKjlxWHlKbzTsxMYb49OLqxv7s0sLQ6MjyqyUsCrulOQbhQvejyz3FI5MT9x Cy/vNqJd/QjpseHwYU1mxbcu5Cc+LHt+JcgTFY7qhf1FAQYDi9Xa5ufOI/Bn lJ7+1thEGhyAEK/lKjVsmIcfYonXcmRJrFta/lsrG5gR+SUpY5NQGpGDg703 e9udQ1ZKXDhPTQlgvyqvzKpvr/RnvQIoiAXQizQo2B47fwOQoHQeAYhIb5TI Fxnpw5KDng1JyOCnF8ZRo0IhsiNpiDyFayxR2T3Q0NSokKm5ocvLC41REq1l tvVZJ2e7FAYoqwjPTvAITkpqDcur/YpULoDQsTomTuBLEgeCr2R6prEksdaS OzJl3T+Y2dmbHJu2NrTl6XOjIxOJkMUNdkCSoe1ICQGQEgBp1c1QpqfLy3N4 R/Cuf+2uIJeXSoMQIwlsaDTLU/gzyzfpMmEhuLm5vL29+kHz/go11J+32Tk9 O9jZmz4+WYIsZfaM9qeny3Yd0fbJydLU/BDMLG0/bqDR1XuAtB2pSf7KE+MU DlHEPAmlOgVyiHwlHOcFtiR/f4aLVt/E+s0urAUQZF844p76sH7woAYRZbvb 8zl56V7hgv/nISYmUbezNbc4P1hXm52alVpRnlFZaRQpwWovfxHEAShFEJuI Y0aypSyygCVRcpMMguQ0KZjpOjsfhQ+G8T/PyN+4UF+jhE2NhYtzA5RIDSMy pqY6LT9fVV1bet+dIYyNra7JdQnh69OSRmxtzc1l+wdv4PXh7Aya5tXNvXWt fZfQlTNTQYF/hJQamfjAg+4SInbyF37vQfMMFzv4clxD2dGJTDSb9MwPYh3/ JCK6USy//4rxyJvs4E8cm4SUML8DIMFjBrynG0ISRJBk5hVU1JSPjtto4qS5 2W6AjlYW+6cmu8TK5Jlp6E83hIAlVY+OtME54574MJ8HMp940wLwrJbm/L6e OkOWzJirrKvLtrQWfWxoe2dyygefLc2FAEQBgLSz82/wLf/zy87eVlsbFK9n gQjAyw2Z0oqa7P6hNm2aRJMqkqtZYFlraMytqs2MVtMLKpOnpzt0udGhAvcw gY8zxjc8MlyfqwrnRa8s9TW11uI4MgBHV5cHahqqBgct2gzT2FjH3EyPPbHL AGj8rY2h8uoyFD0ezmHx7y3wpmZ8buYhwudJuH90mgZAnfve4WSxVpqY5xIi 8EBJ9aZq0EtA9rGiMr5yJjzxoT9DYJ4F0r5wjMgrs4B/zygrcqdgdvch5QDc mxcX5/rMmF90PQUSob+/cWN9vslStrzyaQMQuHJ6erK8Nt/d15JdqIm3R/HE 67hwQmE4L0OTpRzOn/hJ3GKxlpVBGWGES6tz52cnPV1V5/bkNeOTgwPDHR/8 6I2V8MMrYFk7r27qWd3YFusTibHiX8Nj/DkKjCv6Rvqfof1fRCA+SMwKQBFO SHCBAw8JYc74sFAOzp8BcK8fXxO/sDS9t7exsLpqm5o4Oz/7qRR4d8vy4ujk WGva/8/dW741suVrw//M++n99F7X85wz58wZ2dJb2mjDG4cECU7cBeKEGDFi QIIGSHCCu7u7u1sDDTTvqiqaTffu2TKzd8/MWVddRVWlKFlr1Vr3z+6fTUpN xoBJU25m5dpV5aUZ+TZ1oUNfVpaZl68qLNTZ7XqVkQMQ1NwS5L6OiPPnb99g eMRnseA50UiqGg9CiBfZK5gd0jbUAU7YP9pHfLduVUnwHWeWlvonRi7eQl09 s6D2Px5Hf+GG/9OLhK/BmOMHBhwaxK0HzwVg+csrbHvv2M09N1S4/NuMJ6Ci Li8hK1Jnb71QjtOZeUod05KvzLJrRWpyqp5jzpIkCNE4YahMx0i9FzWsNnK6 +xrhS0AvOz8/3t5aWdNRHidCA4CEZnnZHIbKJnsgzRXgn2heUBQvEEAjnCg0 ihtAToZcgABACmZ4BDE8YnhBAKJQxBGKdJbZlkyCI/EZcPLZpNQEyBCWArlb dw7UvHt3nKSM7x6sX9scYctjyKII8CtAVqDde4Yq1zcHBRoCQQDlEAGYiqNI SErFghvFJwUB+ASuQBGHsxVxGiu3vCFzYKxmabV3d3+irbc4NZMjMVBZ8ljE esuGrhlW14Z4d7+BF6hcw3qAjR1IRTk9PxpAfVVYZRFqKYl66u7u5h175Ozs qN1u6OtrmpwcmJ0dOYe8OH6qP9wBdXDx0zcnw2PdYOza29+6TyD2G0pDyHVy yqtnFkcA2oGSa9zin+3VjYmt3enjk8Wbmy3YZxvIcVu36qO7jXcbWKHsOxTO BUP+OijhZRR1dLRNY84CcgQCDJ74M+YWb/Ghw9n2/30X9ciP4RJIB1+NSyAj ns5/6EP68yuCWKmtq3MMD9YVl+SEJPD+5wWBkpSMIXL/5zn2CzfCl+5EfUZ6 fmEeQEoMgUCm4RcUpdXU5OTbNPaitLz8VI1REM9ghOIZ7qG0kARuhiV1dak7 q6j2G0+c3W5y2NOclZmheP5jP2pRoTaWKgyO5zgcmuxs2fTUD5ww951NQa3s 7y2HEcQ0gSY4ITnVaqLLeE/8aa4RcU+DiF+5U1xRVJGS7RJI/eZTHkd3Tolu aJpLAMQS6R9Nfx5C1OQYb/7e4QBpqYXlTb8YXpmz/GhvfHmxd3p6YGG+b3W5 f3mpH0zZE+MdIpVpaaEPbJO5qvaO+o6uhjiGLEmm/8PThEd+5Fgag8BhGDL5 i0vTdY3FKSqy2Zr8Y9dlyPzUWVFekZFfqAGgYmVtYXZmoKer8vT0hyn136WA aeXwYHtgsLm5qbCgSNPSVj49O9zZC2UxmF4YHRqu7e4uT7cmZ9uUU9Ntg8O1 dGUcR4OTZbDQ7NfQYMX3ZabG7W+PSHXp6Tm5FydTVL66sKT4aG9sZKRteLit q6dxdKx9c21wabF/Yb4XIKWTgwmDNfePz7G7+5DC+betLuRqSxtrCclJw9MT Z2dvg7ASAISaOkagPEG+dFtpPey6eSNU5YN5ChJGQFf0hEKKQnBSS2FtZUPP 4NT40NTE3dWury6nxrv1GXwIwLzXICGisQrOKovsyrT0vAI16A9pJijVLzLE /fTbARCFcHErdLf0pFozr7u/aWJq8JMGL+Rq7d21AERl5yttDv3gYEteobqp uXhze21lbd5gER8e7sHNev0TOXPv7y5vrMPEmP8EDRIyUF9dX5MVokdRwQHU GDcoB8r9xKzhEDq6B5lexIe9gFjB0b7UKFIyY3t3I0bIwqewWTpmaVPl1d9I 1YS82tbWSmVl1u7OemFlBl2Msdq17W2lTmeWzaYpsutB7RUWG4pgdGQv0pcU mxLl8S09tTeQA/xCikUWn0x/hQ12x6PBgjyMOx7lSQyWZalru2pKmkqC2Shn ezXScAjpxPb+VoyQ/DwuUJGjRJ4EyJjFzg5jTpVPtBCNl7V0j+IS9X91xT0L YpJ4xrySxvuT19+SE2+75b9khDjy/BtbK8UVVjifIL2yrmBodjCBH5KaxrIV G4VGeoqOJlFTFWks0PMBiBIrid19DbC27db9aGl5uq46P9OhxST50ZXx4Ryf PLuuoqEwiO4WyYWSYAJ0lCBAMaVxAB3RYdpqi0Ne3mxNzmBghSiWDHInk5mZ +lwB6V4aPp4az4Lj+rHc4JqWHCBP89UkRTqTAXlTowkCKDAfAJ71zdF311sp Rjqej2bAKUJoEgxPTaBDdjRsSa1ZqCXdEWqBDXA1LA9SLkkMNLkZysEHFjry qygczw8BGylGRk6Jtr2vcmtnfn17dWb5Nm6UrTLT5IaT0zOhnooVhzrrC8C4 as6T5xVpS5uKEL6R+vqivLxU0C2LitIqyywNTcWrcA6+j8ptToGJvuIKyySi iDs9EijwucX69OyUnAJNTz+SEPlj1r5/sL1vIMvX6fX12fUVQEdbNzfbsMfR Xltf69T8EKJWAuvVjcnDowUAnAB8enO2DCmUoOPb5BTln31i/ImcjMLcjMKc whLHf7kkPA2gPw9m/ekFNigh5eT0Degay8vT+TYjiSNQpanjGeIv3CC71V9e EZ8FM42ZGZacDI1BlaLWvAhh/Okl0S2UGkfnImmmn/hT8wqyOtry4+hM9zBS SqqksS4PTNbNjYWgPsHisBsKizRaU2KyikXhsiKIQt8oVhxNqLfav/eh86XK 8jJTdbU1NU0FrswSSi3Z2u99qDqTym5Pi6YIZAbHxcWtYvDO8xP5Nmtb+oMT hAyx3gcfhGI/c8VEBtNQ3gkRDzxpX3qQ42gMFJb+lfsHGiQ4+8l7s7sfFNrm GQ7kJopnOMloVb+9/EcJtAHAnpnuXlnqW5zvXQYz8hyUbW1lCQZIKwMTEx2m rLzV5YHVpQGpLmN+tqe5rdZZVzE32x3LUKZZsmx2WU6BDHzUWzsbJVXZYiUp PTv5jh2ovbX4ztzW31NtK9JkZKdkZEn2DiAbx79dMh3kA9nf32xutLW3Oro7 ysHrALGuo7vu6ury/O25oy5nabF3cbG3pik3t1jNVeGtDqUknRlAc0WxvAA6 CmW/JqRETE61bqwOjoy2E5OUYKO1vZ4jSVuH06ouLfYBaLS2MgCaYHGhd2lp ZHlpoKCkGM9RkPmmc6hf/T7GcSiaHpJlg7ApHBmURMkvVvw6jNg3ND4/N9TU VEIXW/7zSfQrdNIfnyeA3u4dyYfyveKlAXHJVY23Ecfv3lfR2upMX2+No8wM hfbDSp67ZCtOpxWsYcMBKztfUeW0GDKFoP8UlaX3D7X9dOUjn9L5xdn8wkRe kQZRQAG8hIxjnxQUkLycZ29OdOl80FgAs6ngMDqIdsbEXVycADjWZtdtrM1N T/YO9tdPTfasLE9ubS79uJ5BE4Me+88F84heK7uy5EGoTwA5KpAa8wJmo/oo KQyElG43wt6HIqKfx4W44aKihYxXCSFwRteAZzGokkYIz/wtZ6qLi7M3b04O Tw6TVLgip3VgoDUrS1pUmJaVLRse7+kZadOZuSXFxvx8Vb5NVVOTN780vbO3 eXp2FpYIQE7Qizj0q3iIX/TV+4x+L+HdJ9FBDzFeXqTQKGFMGDc0QULJqii+ gZv47OKMICM9iwtyTUBxDRKBWfXm/BR5mLmljY4+CITPL2/89RXuRTB7bx9x UPmgRd68Oe7ra7y8As11dnK8e/OjgsTU/EsJZe9uAz+PRif7s4u0GfnKw9ND Z5MdyJuOcsvV1VF3bwXo7Vn58qLSNEkq2ZApmpwZvrk1JUNtt7Q8k2rkxIvQ MfwgogQTzQs0Z0tNhakolmck1x8AJHCELokiJ98yWRFEYXw1vrGzYHiqgQhD F7I4QmpiaLJ4SDY0gYbAkscidI5MWQyOF1xWl31yusOQAoQD5VxTZrALK9OK a8xv366BWu8cKEvgBicq43lqHLgCAoSS9dTMIllFo6W2NZerwkGWOD6KJAxD WCOYcDgbQEQICyWAUmCtSOeU1uYuLM8MjvdWNBSJ0ugcJba5x8nWEqYXJxfW Jq2lNf/vU/9Me0V5da4X4ZUpVy7S08KT/JN19AiOL0tNAFBzfKzHkpWSZ1MD jGSwiMQ6qiid/SnVNLTe2dsC4w8YFlp76rYPtutay4QKPCS+aWi6dN7pKdTH pudGN7dWb35z4fT6qLOvf29//h0Ek/Y7BtoQgHRyuvju3W59Z+PE7CDsvL2l sFg2t6fhWLaDioZaLF/ii2fv7YybsvK/9SZnFxSmZea4hnJ8o/lfexDAmH15 eeFwmIuKNDVOM4kjhH2KbiNACYkykUKVZlLqzQq2mBFOpLmhaeJUNl3AoPCY D33JX3tRSImyBCZbKGeardySMnNvd2V9XX5Rkb6wSAeri9PMmVK+nCVOZXGl rGdB5C/dyf/zAhcYx38dmeQeyq4ot1RUZNTUZPtgGF+4U+j8ZBQ2CZWQmG7R fO1J/o/HMfVtkJPhR6EuN3CIbv/IzPn52dL6UppNTpRGohM9xSbpi+CkrzyJ L4KpBA7zo5i1b7yAqA75KD7wIrmFJj0P4vjFcKKpdICUGALqwtLoP9Jqtz5j /aP1LS09vY0Lc71gaoa9j/qh9VI/mKYX5nuhfOizPcUVpRtrg51dDVNTXRur A7tbk32DTdp0HphizNmyjfWFpuYiMGFlZqd03aOIbGws6Gwv6e6sHBtptebK pBpqaVX25dW/GTRCClLPZ2cnE+OdHW3FDfX5GiOnAEwQdn1Hd+3B8UG8KKQe AG8RKpDhDqVW5AcLUokxvCAgvkXyAkI5r2myGCAYltSmb62N7W6NGKy5tmLH 0d749GTX0kIfgKbrq1DWBoBOQZ0vzvdoMwq3txb0Fuv/8ycUV5Fz8zsbD46O T6ubIX8egSrPNZRbWZm3vjZ9dLheWpZD5OorG/sSU0x0kcmYWw065B+fxeGT DDt70ADykb3pLcz3ODjUqjKwzVnJWhMXSL7WHBlAy8WlRkSPlGtLdZToEWOZ xsRNUVNqmxw3t8TXP9MEe/vbWflKcBEwiLV31YC58Gf9pZvbKxU6BgRo4UAh 0FGlamppZVZ7exmQ01tbHEBEam9xdLQWtzYXtbXYx0fbkbcAd1xehpwcjg83 tzYhMXZ3d6O7u25xceofrO2/oyCvn27Plur5IqPiSXSIDynKHRfx8iNDGy4c IgPHob3JAa9+yBoDoZRnscGwlinUDRf5EBOYVe64Q55/qxwdH0zOjYBKLrLr OzucxVXW1HTu5dVla4czO1vmcBjb2iorKqx2u+EQFnzA1RTZai9SQBArwpsc 6EEIvvcMkC7LmxTuQQgL5ZCSM7QexNeueK9nsSET81Al7x7uSiySV1i/VwlR z2IDHoS6aW25jX3NLK0ov7r85v2gai2s6xqYhKVPqELewolXdva3eobbADJq qLft762vrM1MT7WenBxeXb09Otq+urzoHWk/vRcs+S+IkUCZnR8fGYckjvWN JZmaai/LAC/97t3b3d2Z1bWh09Pd+ubStY3F93ZgqKxsLhntqiCGGxhzYvjB CSI0ThzGUsRjkgA08gODjwcOE8GKZMsBOopiQExWkQAUIVwNHf2lXDUOQBRK ckSKgZaawYFzzmKkRjpbHocE7MPc6aGmfIk2iwd5KMljCQK0o9pY0ZC5szd5 82736mrt6nqjqilLnEYmicJTDFS+hiDUkQHcIvDR6QWS6+vdszeLc4uddW35 xnwxwELgLjheCLjRnbYqUZnAU+HMNsnS6ggQg5BxYGx2hCKPzauoY2s4PAON IifYa6ueRdJfxZApUvnzqBivBDw9hYjiuFFlETw1IYjhHicIKayymLIlOFFo epYEvH4E15+Qgjm7jZi+a3Rwi4t319DBlvYqpY5BFUcockT9w+1AetIYksCo BYaIxtbyjqGWZBVZa+YCuezmt+g2kKUQ/uKurt6FEZV9Q92g419fb/eNdi+v g169sbUzs7E9U9NWNwyRKu9fXq6xUrW7+3P7h3NDk+M3V4djY61xPGksQ+6K ZnV1N9bUV71Esbgyo1dEIlNiRaLRx8Y6c3OVQXGJj/1prmgG7LpD/cKdGBwH gIq6vNSYm6/SmjniVI4ijZOiZks1HDSO9iKYTuWKoikcOp+lTOPo01XhxOTs PJM1W56dqywo1ObbNIWFGq5E4Iqiu6KoHuGUR36QvfsxZO/G/+kF/n9e4HlS VbUzs6OtSKpK/asr4Yk//XkQ/RtvMk+q8Ajn/OkFlsgz/ZKaPL+4MNiUQgMj nqX50p3wwJMaRqB7RtC+9Lh1wwYv9TqSFk6gA5gErv8ihJHASn0enJhVoMIQ aR5hpAKH5uLi/MN2/3UF1rHf2CvbE1jy7Y2RpYXe2Zme8fGO2kbn6srA4kIf mKlXlvvB9L043wuOd3Y3ALAETttcG6ltzDdkiYorjLZS0+BAw/BATV19nj5D 0NFW0gbmGjhta2NTAZRwpKdqfKzZmifPd+iR0exfKhfS31HW1mbBezlrct6c QRLu28uLt5dv2waauHoqX0tMz5fSFbEotrdITQZLWKIPBshxib4ECSYtO0Vp TVpZhCyYI8NtJZVloGJB9W6tD3V0NeTZ7dsbw0uwEm9zbQiFFRhzKg4Pt9hS K5ogv/ztMu79uNy1x9r6JpGrW9/aHxpqaWwq3t2eGh6qm1+Y12SWNLVUXrxZ qm3pT1LkNneNIZFrH8e8w91+fGpAnyEE4Bn0B4WO6SgxAthss2tlWobWzAPo KD1bAnkowQY4hE0L4Myf9YpBZoTN7dXsQo3JIh4d6/5pu9ja+uLkDKQ8X1ic gB1fuR/5RDmrs4yZQvA8/T3OttbilmZ7TxfkXdbbXXV+dgoG1cnJgfJyy/o6 pKJfXR68vDzr7WvKyBA1NBSOjnYcHOy++4zqCOT1Ly7e9Ax1eRBjPfEYT3zE 0xjUh67aEd5EiALdDYd+TfEH6w80S7dnhsG0AKFTi5Df108CpPcT9+xoXV0h 2NDlSAahdAY3OzsbfX1NAwMQw8Ph4d7BwQ4Yi5C6AGhq/3ifa+R5ED29SB88 nhsO5UkMAagpkImO5BO8SEGvyejHkQEMNZRQkq1LccV7+tMDXLGhrthITwJ4 +NAX8aHfhPm+TPBfXF/86GmRCunqqp2bHd073AETfddA49Rk+9rKSG29vauz 7GB3bmV5SGvldfRUgkm5oaNyYKxrd39rdWPp517885d3d0ZAOFTrami0q6rO 9lP/ABexmRPO8UG8jKL5QfFCFFGCISSHhyX6RfF8/MhhD9HkVzE4vBBDEEZT xDEEcWg8P5glg5iu+0erpWYGRQTxN0r0VJmZATubhWUWSmUmBmIXQ2ixRToS ogXiqvEAYulzBQA11bXlwT5C28cnS1kORYqRXtmYpbYk0aXRygyG3EwDKGtn dxzM/ogT8s07UPODy2v9g2N1zuZsgYaAaJMQmAQl4JPFdg1WAHFkbql7Za33 9M0mVcF+GBYcxhRTFLFPMdHMVG4ghfstlKEJ64IhPQ4jPo1I8CFiPHERiUpa vDAkmOlBkEaWObOjuAFUWTRYF9fkzK/M3Hm7vYWdvlbXRkoqDZXVlq7BqpK6 XEOmMNXAFqpIHzEtyHQMnBAt17NECrzCnPSP0Ol8skTTNF39ACCdlNXUpKYX XV9vXV+tZ5eVLq3NtPQ2dwy0gZ8GJwZfxdDOzjaNhY7UbPvV25O9nVmaQIMh iddWp08Opkqd1fXNtVkFtq/c8TPz0DdyeXlhK7K+CqH6RHKUOoUPhvOVB+kr dyKFKy8vy8jKkRozxYWFOku2zFYARaXpzHy/aIpnOCvTqq4sN+YXKLTmRCC3 BsSy6Hx5aYnZWZleUqKvdmY7HIbCwjSw5OXr1GlKjkjiimIEx/PLKvLTzOka ozGSJPrCjYxjipxVWa0txZ7hzK89SQhdNhyVT3/iT3vkS13d2EV6/EcVAsva N2BWXd+Yv7o8UZk0LoH4Z0F0gIW+9aY+D6b5RdOeB9Ge+FO/9qQExNI5yUyh guUWSv3SneIRTrbmp71E8ZK12eYs6XfeBBIHP7/4DyUZgcczMOPsl9d1V1RX lDvL2RJDb39LvsPR09cMENHu1khGrq2zq2FxoVebnr0AWeL61leHNlaHFhd6 5ma7piZbHWXG9rZixLJWUmZqbipqbbG3NBeB2acDDnCbmeqYnekcG237JX6h //Lltk0vLs4+TPUIHa9oKqyqsYz014MXL3VmmLLE4CtLEKB8KC+MBZK8Mm1T VxmYZ0HVAVDU09e0sTbY3FrrKC8F9QzgKDslbXCwdWNtCKCmve2RcmeZRwQP uTokMv/OEzFCKjY52d/XWwd2BwZay8osayvDs1Ot6TmF/JTkpfnOlaUBMP2d nOzt7X6Q/fN+OTs/zc5XFhWnaY2JRot4fmny8u35wcFWeo4MgCLILpYhQOKX kQwLGdkpAL2UVVl/OdnT5eXb/YOfSkoLK0aunHUFYMQ7Pz9bXhzPyEq+g2T3 A4JURsgtqsppzcyRmiyiAru2rMw0MtxaVVcwPz86Ndk2MdbU1FS8sbEEuvHR wXJ/f2tJCeSY191ZikzNw5DiAiFs+d2RElLhsiwzNpkTRI0JZRNiBQyX9xjp ZXy4NwHjjkO2IzyJQd5k//sKnA8VTZEam2nnYOfdTwossLx7fXi4i5gbtnbW f2K0ud8fTI6cJ1GBL+PDnkaHgPWdIgsxtIFn86H5+lB9vckBAAg9igzoGx+W Wc3fR3h7k0PccKHgHJiPC+Js9ySiRRnJu7C3GKI6uf0WkMDSzWW7XT863qPO 5FFE4bnFqunpNp4Kn5Unb2orLHGaKMkYrYWrSucIddQUI9Pq0Bnz5W/OPkG9 9U8vH/kDX70nIEUOv3tf7k7YO9iJ4kM+2DH84LBEXwQgkVMiwTosyTc80d8b H/k4jPQknBBEC30WSQinx7OV0VSASVIgC1ffiDPVkgjZuSQYAIGS9RQAVHB8 VE1LbkdfKRTCDxM7lNal86FEtPFgmw3THGmsXLCblJowNdeyf7gg1HFDKGhH tS27WIEXoKnJESK9NL8in6/GnZ8twNH6J6NTjRxlAoBMAGhpsni2Cm1qJgeA MTw/hCQKA9cEz8CSx5lsspnF/rnFYXpKZEVjEYZFfRGV8CSMihMz3eLiX8bE eePIT8LJLhiwJsILgEnk71B4nDCWpYgFlRDC8gJgRqpnBTHcscnhJ6fHcA3e 1lh1fWFOobrcmSFRUeVaBlEYHsULMFnFYKC4HyqICG5gfBCryQA7VdXa+sa6 /pFgN/C/l1B66+vBsbmB0VlwxJRb5RLE7hkcfvfuKiO/hC5OB7W0uDKWllsx Mj2FF0sbu5tubk7HZye/CcFNzi+ZCitEBsiOsLkxNTk9fnwEET+Cr/Ld9enB 7uTa2vzC8vL7rnKVKLNEkfjVVWY8S/zfzwlP/SkqvX5sqLqi0izXMiEPhxxF scMIoE5JsVFjkMTRuIVFYFtfUJimNfF0QIzNU1ly1I2N9pGBSrEiVaxUd7QW gfMhxnt7msOuLyk21DrNGr38RTBNqZelZ2kUOiNHrPCJov7pFZEnlY0OVoiV ur+6Eh76UhGFz3+5xL8MYXpjuLlFJYgP3Y/7/w1kMp4mJZG5UqFvFOWBJxVJ NvfAkwgu9SyI5h9NT5Sq//yS8NiPkpTCwjKZCUwAwyCib5lOQOWL3cOTm9ud NAGnoLTk6uof0iDdPdLu/mldU50m3YpPVA8OtXd2tzY214yOtYNpmpmsa2iu mZzs5Mn066sDG6vDzZ32wdHmzr6q6enWxvbCycnW6fG2O95shDIRSXCPHBns r21tLurtdv67Z9K5Vz6scLgOj452ursqhwfr2lshJqjerkqwFDl0JZVmW2Va SW365trI/FwnhC3nIWtme2f9xETn/GxPkjRtarLrcG+suKJUrs8Edb6yNLgC u4HF0KTj08ufR0cB7nJ5eTY9NVBTk314uDM7O9rfV7W9MTY0WDsy0jnQXzM9 2bq2ApmPJycHq6rypqaGrj6l1AKj+mB/nTUnpajUfAzz3gDJq66pGHI90jGt eQqzRQw+QLUpKadQs7I619JeIZTj6yET2y99zo82fnwK8ifLpoZNadnNzQ7w Up+krLxP8Y1EVYNnS0vni5Wk/v6a7Y1R8MqDA7U1NTkLc12g88/ODo4MNwAZ YXUZHM2tqbFNjjft7izev+/vWsBb7x0dtXY6leaUjZ1tnj71ESbQHYd5Hh8e QIkmCEnP4yAdEQAYHoRggEM+iY4Qj+7HUb4jM+M3P054+kMN/9Rj3G+Ia1jp cQM7Erw5Pzs7Pzs6ORmYHKvvbjPZc71JMS/iwj68e6grFu2GQ3sQQgBAehwZ hJdyh6bGX8SH33c7h4Ec5mWCV3WH8+ZHOp/Lq8vy+oKl1ZmSEnN1dX56QSpF HE4UhjW2FuQ4UvF8FJLJgi6JokoizXmSpFSsWEcBu4ibTXl9/ns69H8nhTaC ZvOclkKnRZ7JjYTzuqbomQAdgY04QQhFGhXNC8JwfdwTogGEeBpBeBSK8yGh HoURAomR2cXSkclGClwzA2M1uhxIFwTwEksem6iIR/g/AUDqGaqEUopIoePj 0018NQFxLgILADMSA02fI9DnpgC8RBJjn4QlBFKSZCYmQRAi0RLDaBSPWDJD ksiSxdgqM1p66ja2J9t6S5AbgUYBGwAUcRRx2iyBrcKosiQKtSS6NMqUL65v L5yYbe4aqOSpiSlGeloOz58Q+zCU+DAU/yiU8DQCgD3ityFYsLhgSAhGcokg +BHDwbuzlQnQiyf5QeojaTSoEBTLc3xuBEIMcOecnR/XpfNlWrocJlKQaGlc JY4pi1P9KHXR/UhbMIaMw8z8v8k4nCTPpgrTwaVeojh/eYlF8hblFDeyJAAg XZfVVpN55om5JRRd3AFxIh0fnx6BhusdmbRVNdAVhpt77ru30QfX7xC7DHzk 9uDy8lxZqZ7IFv7FleQZRs+1mQHOKbJnxNK4QgXTbBUVFOkKYafrgkJtTp4a QCOHPQ3WDuly8pS2Ag1AQXn5OixTHE0VP/KjKbTqYgg+6cC/gNPARr5Na8oU GzKEImUijkVJlFAfeOHBveQ6jlso1SOMWV+fX11T8CKY/sCT/MCL/MSPojDk +scmq9OLZ6b633yKHPjmdmC5TpIb//A08i+u+C/dcI99yV+4QVROWI70K3fs 154kvlwKetsjX3I0lUnj02kio38c/7+fYUk85dzilEsgO8NW/fbt0Sev/3cU JMn50eFGJEVMF+n2dmZXlscrqsvGxzs21wYpPHVvX1Nvf6NQadhYHdjbnDQX SvkaitDIyCvTEFIwWSWpnZ2lba0f80PeLe0tjsnxru2tpX93y9rfLrCb5fH2 YH91b3cVwnJwS6zdXjoz2T450drQWrC2PJBn1wwM1e9tTRztjY2PtxusOWfH k5yUNApfvbs5srrUT+apu7obVlcnl5dG9raHc4sKkxS5N9Bc8Dmw5f7ewsR4 +8hQ/fbm7NREF0BEm+sjA/3OocHWrY2xudnO1eWhvd3lhblepzMHfCbvLbwf l+OjvYXF8TvWteGxboWOAcQxZ11BvkOfW6hd31za3Fo9h1N7rG+uLCxNXf3K bB0/PViB+XpotKu20QHxbGtpYDBsabZbcqRIrs9PJ3GAGfkATDJZJRVVWY4S Q2uLAzIxL/UvLfT29TlXIK+8vtWVQQCZlhf7wHpmqr2kxNTf61xfHb64QFiG fm8tHxwFc7ijNfMAIN/e3wfQ6C5xcJKcFssjgV03XIQXIdINh3LFhSLeR3eE 2/eWiFfYkIaexqvrqx/ruu/udXZ+cf/IT1f7/OoimkMMZGCDGNgQFiGSR4sW 0FFsAqzUCv0kTkMUSgAFPYoMVOeZaanJT6KC7h7VFRvmTQ58keBW3Fhyc/OB uxQSeJhXZlKnJ5UUp9fWQpERYNpFrEW1TblwvHkUElcFDoIpOMVAp4gjmJB1 KUKRnmQr1R4fIzl9flGr3R++ED3WL/mv37bcdoDjgxhBSCjndSDDnaPExvCC sgs1CeLQMI5PnABFl8VG8XxDGMEuGDxAEV8FxAkNpuq2qu/RhCASBJB29yfY 8jiSKLy9t0SZwSaLbkPMAIxMVCaAjdq2vN7hKgQggeqamm8VI4lmYIubWE9h y2M1Vh5PZ2RLqdgkoi+ORuRTMCyMUEWNoNPCqFTwQenT2WE0AsBOAQQMjh+h tjBwAnogKYElj0IIt1myWGU66/z8CLbTnbx5c3h8Mt81UHF0NKtMZyNJAJNU OGpyVCQr2uYsJacov/CP/TowPtmUTper/+wb7QLjJYAAUYzgaL4/ITmCIA4H uCg80Rcs0bxAjpYEANIN5EwCAaTl1dnU92EjyCevMX6Ch/ODBWadyi5Q/9oB 6sNWu56YGnJUls3MjSRrbGSBGRx0D0v6yp3QPTS9vb0k0WayUyzgxMr6OhRe dgNVx/nAeB8YSsF2VWvX9t7B8NRceVPHXTf46Eu8r13cP9gGIkMEgfvHF4Ro Mq+sPLOzw56ZpXUPZX3lQaYJaFl5qV0d5RCDWaGuoEALMBIEe2C8VAhBID1Y Z+doVHrBs0DS0wBGZpahvMwADjrsevgE6Mw8m1qfLkB08marOL9QKpAnmTLU SZLEpBS6WMlO1XMdxRoGPxl8fi6BjOeBpKmJtuGJhbaesZu/LXzdamz29iyF 1cXOjqKK1vq2QS8M76EvfXpuIkVr+J/nCXRRKjjHVlryjRdOok4cnRgpqmz7 w9PoV2juxdtrW3nLQ1/a6ZuLnx2vfnHzIUqkI+9IITtZe3q8srQ07igvnpzs 2tkcJAuko6MdDS1VyRrj3tbY6tKgwZZMFmPwyeEolndYok84xxdMK63NP6Y/ uo1lGx1p/beLWftVBfT/s7OTpcWxoYHa+ywHXXBCW1ADHW2lABo5yo1qU6Kz Pq+lo1uUaujqaUTjRGOj7SqT9b9dElrb604PJ/PsdlGqaXCofWVtc2drcnmx F40T9g5DLqy/q8vExcXp1eXbrc2J+bmBkeHG6cmOsdGm2ekOAJD6+5y9vXXr qyOL8z1zM50D/XXbm+PdXeVdneXvpYC/2QnfvadFOjk9AogILLVNxR9xjPzm 74KYI5z1hTkFoGqT1cYkRRqrwK6rqMxQ6lkq48e6o/vbYMAcm+g7Otqbnmzr 7CybHG8BQAjBSEiA590CdiGF0nQHgEkLc5072/M/XRW/1auB9dBod2NrBdjI ry4HuMiTEPUQE6jNM0tNMjdseAgj4TUx0psQ6YpFvyYHu+NDPfBQyrZnsWhX 7A/OSG64SC9yIIqDWt78wFp6cnq2uLJ5x/f4OlJAEZq3dvYPjk5/4pFmlmay KnPoauZLrJsbPuh5HOpFfKBLTMjT6BCXGLQHMRDWZX0i4O5+tN3zOLQXIfrl PcfyF/FhAfQIb8prVb7m5n1cyf37nrw5NmVJwCBfU52jtXIBQAITOkkYJjUw 1JlJd9HlYKFJblPJgxMIAlROqeHm+u3Zm1/NUf/uw2eAlW+fT+5D7r5zsK3N EqdlCuRGtjVXHs7xKa2yEqSYEJYnXhzGlMf5U4Pc4+MehZKfRZK+DIhTZ2eD f1rfnjfmyzTWxOOTOQCQAD5RZSYinth3VcRVYcFP9e35/SNOLDcEAkjSmLml TkUGiyyOgL2GopUZnERlHFEQ9yISrzFyeAp2MIkCFjSFGkKm+uHJGshsnRjL pgURqYEEciSHa8hLyy1Ld40lxyTi2DBAggLZZDEAmwk0pCJnRvdQ5Qlkw700 5YvsTkN1cw4CzwBg4yjiwHbfSM3Cyqg8M717uHt7d+bycjtRnfZtCM4FAwGk EGZgDD8gXogmSjDxQlQULzCSF+BPfZlXZbl5PyCAsrg8rUvn/fKULneE/xIV GYkc/LXjFXL+0fGeTMt+4BFlzlYK1bkx9NSp2dHnwaw/v0oYHJubmmoOxeO5 CsjfrKymxisCIpe+un53fLJ+8+741/YtKE3k1YUxu+RpIEeq0VY7LVVOa40z g8aX/c8LPCeZxZOyMrN1PV3lFeWWnLzU4mJjtTMbwTwITHLYDTl5ao2RS+Aw 3NDMVyimVCV1VhptBWk5eZoShwkgKIRFAXx3xQ4dV8L3i+awREoghLa12Kuc 2VJNCoVLVxuZlpwUU7pKodMlSdT/5YIVKxQ3785ufr1T0ND4vEc4t6UbQlYY igIAy4Xl1YvzNxFkBZbJr23IAngSAOf/eByVYYOSp2stZbv7vyWJEHKdkclF uaHg/OJ0fn6kuKJ4fWWopbPGL46zvNBfVlvKVijbegqTdDiiFANElUiuP4br H5HkB7olEMyzbcq+7irIuAaHsPV2VwG0MDrS1t9bcw7H6n42X9bPXy4uzgBs 6Ot2wujoB5TY1uIAVQGWob66tu4aiZpaVpmeVySLY0j+7+M49zDOl+5EAIfm Z3u+86aQeardzWEw7QIRq6OrDo5T3tvZHG1o7QGo++bD2eE3LdBlV5eHdrYX d7Zn5mZ75ud6ADAAAAnAIQCQhgZqursrN9agZ1tc6AHIAWKwnOkEu7u7S3dX uL3WLWj/Geh+d9rNp6Shf/R93ge76TOEZos4I1uals4HoyJYwylBfxgegfCo T+ff8e/poNNY0zOQGXF1dXp+tmPpQ1B0f1ldHgDoaGG+G6bFGDs9+URQ+e9U kJ6wsbMdyWfkVJYCLFHT2bq+veVDjkUz4vwoMQHUmJe3kMPbneDxNMafIBWE csjPoSy3GICOwMbjyKBvQr3sDWWwv9Y14h45s7DmFpoUTlKcnV+8ObtAE2T/ /SzuJYodSUkFA5RYU4AkB7ybce4eqWWg9WmsCyox9DUlAPZ9CvQiwVSWEBID B/1csaGIRgg2roW64SD7Gthwx0PRdl6kAPAvnsRgxFsJJgcIAz89iwkNYsZ1 jnQW1BZeXX8cDjA9PXR+cTYy1p2VLSstNlvz5dSU28ArMNfLjQwkfeodAPho 2dxZv/kF4xLSPy+vLt+8zx15dXU1tTA+s/RDJCP49bMlLEa+mrXVuWKHsbTY BCR6pYFdU1tAU8aHMD3JKeEEIfE7NP5pOKxdCSc+CiW8iKJs7U6PzQzOLXa3 91WcnS2wFXEseWyKkUZNxjBS3mPIFEiDlJSKbegoGBirwfJCYEgZvbM3Xlaf GUH3FmiIyXpqVZOVLo1KlBFQFJpCxxansnxx5MdhBJKAzpEyeXJWopRJFjBe RZMAXnKNJjBlsRQJ9XkUyxtHVmawIQQLJRbBghvB149UW3l4PqqsHnKw2dga S0pN4Kpw7wEbPjmNguej1dYk8E3XtGQ3duQNTfT1jXa19bV+HZgAANKLKGwI MxjD9SUkR+DEYWBJEKJCE31wwtCS8szr66u7vlrfXAIxln/oa/QTC8JPYslT FpaaW7uqb369lIqMcienhyqj4Ik/yWCR8ZVZKJxYaxY98qN+7YE351fby/Mj yaQomgJc3FFV+40XeWcPntyvz2/eXdzcS3P5S8ZJ5JSjk/Oe3jZnVYbDYaws N2flZrgEMrwj2DFUNpEjKC1JH+ytKq9Iz7BKS0pMrc0OBPCANehUllypw6Gh cpO+fU381pvyhRspMCZJoZXH8xNi+Gi+BptrU+bb1Fk5qbYCXUGhttCeLtem SVSa5iY7wEj9PRVonDiazM7IkuTmq0tLDKlaZU5+1vc+5HCS/O3bt1fXPz+V IYMSQpT0Pujv+vziEvzf/NL6Vx5kiS4THOwdmnZFs/qHekAT2yvb/++jqCR5 zq9qoF9V4KeCNhYWxsRqPZgo2UrVwxDi5tqQNisrksPmatleBO8ImHkMzfYO T/QN5byO44eAvhTLD84r1fYDjNReMj7S1NNZtr01B5DD8fH+/2JohJS3b88B IOy8pzuCXLA6ygsdOkuurLOzFKDEtbUFjQnKlCGQJ75CUR540Z4FQrn5HnhS CoqLg+OFACxBSqSDiTy7PUmadrg3B7rE7615Aw2+sTa+tjqxDAUw9q2vjk6O Ny/O96yvDo2PNc3NdgFcNDLcMDhQA44ARLS6NLC2PIjAA8jeBAV2/aJUoXdf 9+fsDMWVVoWOkZ6VbM2F/MNVP5Ic1abEpsaCArtWrmMAaFRQbDRZxK0tjovz k/399UWYNPWT6AjBisuL/TMz/XMzHW8vEO3KZ+3np2dvljfXreUORTaU+jwh OUlk1lLkwmBarEtMyOMoCGyoslMrmitxKfzukUEMl/I8FuUSg3oSFYRik8qa 6lJzMjd34XCS98H+msyyPz6LfxHCjqKp4tm6v7riHvnRHvpCDHJ/eBor0RVc /4gWQJGTuri+aG+w+9HC1PnWKD7Nm+z7muJ/pyCC3LAh5HNffRR2Hym541HI AsfcRSB8km64EG9y0GtS5LNYn/zq/I/eHYydA4MtDrtebxWtbi07q/NsNrXa nET/EA4hpNAf4SKAB0jC0JrWkreXFz/lcP6jI+J0zvrW6vzqLEBlDBU+iheY V5WZ77QgLvqSjEQklvwzdHDE2Le3t1VSmg4FFtm0/f3NA6OdMEDCUCUEt4Rw FwwBds9GPJmJ0UnJrrHUSI7EWmq/vlphyj8GSEg4vzaLKzUxGjuKhifrIYCU Es2SxZ6eLqxtDlY0ZNa05Ih01Pp2O1MWLVSRfHFUUSpLruPEJ9JeRJHAmp7M AGDpJdjm0FwiiN+hiF5xJIqI+CoK+00wAU2NpyVHpBjpMhOTp8IjOJYsChud ap6aG+KqsGfnW7v70+DiFDHmTqklg8gk43C8kMnZlqHxurjEQI94sgsmAc2M fRRKBO/ojYuM5IGZyAcnCiVJIAd1kgSDYnoZbIqKsswpmAQSNFDvYIvRkqwy sH/Gpgab3u4AklxLd1RCTfxJf8ufb6nb3vBOYxY+8iUYLMkUgTqcJNOli797 DeUrDCMmETiseAbdL4YJziur7f7D02iE8uvv7BsIy+vmIkxQpqmqAOhFB77f P7/CGzJMcXQZ9BgZkqLiPFOGtsaZLteosMxk0IuKinR5ebpkHQPNDMYmEgNJ 6CQlPlEoexKId8XEuKDiw7ne/iTU83CMIo2Xk6vWpwuVafziEqslJ2O4v3yw tzwvX20rUElTFa5oeiyVj2XwC4uU5kyZ1qAosFs44tT/8zC2sx96tatP2fR/ QTXebpTWdj3yo+wfAPH8XSxDlV/acgNl7dz3wvAR+x0QV9791nPNrcfX5Vld e2scS/XgNR4rkAABJJjKnZxopYvp1BTZ8GiXVwIFzfbDcP04GlysMCSaH8RU xvFTCWiWd4wguKmpsK+7qqQqfXSs/f2s8b+6IHr+44M7kyJiU2ttsYMFwCST VQym5rR0/v7BTn1zsTKN7RJA8Qwnx9GYQfEMpogZQaTT+MygOPZfXuEZYs3R 3sT4aCtVkDo62n11hYgPv7GC5X4BEw3M4dAFkM/sTMfcTCcy+68u9S/MdS8t 9gJcNDrSODJcjwCk+/qT5UWIXPQKBkh3M+zs/NjU7MhvrhT6VeVWg3SwY7CI VXAoSqFdqzPzfux+qUhjOkoMoMkMmSIApcD5g0NtXR3lS0ujG+ujG2uTSwu9 MCdV750qCamEtZVB8FGAXw8P1ne2F2FLzeeIYvtx2Ts8AHetaGkIS6ScX7wt b6x6GO4jtep7xgb7xkeBFHp8evz28pJvTP1zgFckn06Si3xJ+LmVxR/X2OrG ztMABkLF9oUb/gtXPJLj6XsfIOoSA+OT7+aIN+enb87fTC1NcY08X5p/QW1h MCvyaTTKFRsQxEL5UP1csRBLJAKHYOMaYjWLgFVGIR+5QiFuSIiKCZz5muLn SwMQy8+DEOJD8XXFBgezw7QF2oPjw/tP291dV1iky8ySVNXld3ZW8xTYREUC YjACa6oE8xEuor1XLpFEYaZ82W3c98812fn52c7u5smb06K6aqGJK05nk+Ux eU6LOi8lmOERwvTwp75U5oirO8pJsuj2wSbIoetzhVTcQGznq8PDHZmW5BnY ACQ0sbBCNEsRF57k4U/CPA6DQr0ehxFhx2bck3DSH70j6Qr1zMIANTkSoA6J ngoDpCjGeyLroYk6fa6wrq1wZLIRYBKEwvEEylS7c3NzNrfYE8MJ5WvlfC2W JSF4xVOS5Mw0M4crZ/IULIaY8Tic8C2KEEyiBBAoj8IIAClFMageseAxSC4R pEeheLwoMTWTJdSRjPn8qkaLIU8UnxSktSbOLo1FssJaewrnljqRdCcwlI2i JGMEGoIojUzgo5UZ7OurDUMeD02LfBhK9iWjXkTHf4+ivIjChif6h3K8malY lSkpihtAlERixaECI2N6eqi5uRSprpwCTXp2MswTy/gJKxvEEgkldrklTEtR UwaG22/+rtn2dkq9OR+ZmlSkiR77kRKY7KAEdjhJGUnhf+MFJc3BMulMESee wXjkS25s787Is/3pRUxJTScY9lu6Rv4Otwr4plc93RXVzqyqSiuOKfqLK94z IvELN6JKb0zVaxhCis0ujaNLcEzx3ESVQqf3jeJUVpjLSoxKoyiY7eUZG+mC isHw/BhSBkNCD2UFRCT5hnP8PWOjH3iRvOMxwdTgssrc1LQ0plBsK8p+FsTI sVnBKDo721lRke4ZRuNIjf6xfLkmWaahq0yqrt7GxsbS3p5adrIpgpKKMC38 2tqEldaHb85uBwE0Qa7JzH13c97RN+QdmXR0tHJzc2QpLI2ma36JhurvqFXI RLu2QZOmfhUQ+SAA900gPqMwl5QsB99Xd19jtk3mh8WW1ZbZygpd40P9aa5l dZYip4mqiBkerU9MxSZq8CiWVww/iC6Lzi4339wDz7/xs/5LFcjge7m4MAqw UF+PsxPO1VtcagK77W3FPZ0VNTU5qQZOspJY2+hYWpxobrSZs1KNkPM/z2hJ 0Wck6cwcoyWJIWS4BJC8IpglFfbMHHFuURqSh+X3LuDh11dHBvqru7srNteG wYx/HwJBSABKydc+P9cF7w6srgytLCIgYaCzo9TpzD47+wAG1zY5ahshYuR/ KskM1OUu3p5n5ikBBFLomHkFKrDItIwP8qQbE9UGjj5D0NNVWV5lAWOmTENt 7ayenuzp6a5cWR7c2phcWxlGsOLIcANEKb88MD7aBHbnZ7ugpDwr4xtro/+8 17wtoKrXtje39yFdkNCkEhoUEA3C0cnm7lp2eaYLJo6YonOJjA1jCTa2t8kp aWyVaXJ+6erWrHY7Vm1s7dHFGU8ggAQx0z70oSLoCI6xpQGwROQaj0/eXLy9 PD495RrEcWJstDD2aYxrIDPIA49+HhvmSQz3Jge9jEe74VB34AcJVbvzx/Yi BYLlQ23SXbQaGjaroQCCek3x9yYHuuODAhnByRlpceKECB7mGI7XRmwWFxfn AwMteXmpDofRZlM77HpDlogqiWTKYhDOQzD1I07Fd+gIiVJnyeIIAlRHf8PN j7oolO7kXoaokzdvLs5PMwrMfuTYrNKCb8MCKXI+VowOT/RFs70QcrNIbkAU LzCI7hbMcA/lvGZriG/OPp9UeDv/Xl+3tpb3wqnZZpYmWYr45DRGBNdXqGa5 xZKeYrDPoyA1yzMMwTUuDmy8iqGFUBPx/GimLJotj7tT1BCFoQWVaTc3h2k5 /FSLvHOgiiQMhbmJYi4uVm/ebV1dby2tDofRcW4xZBwPH0QkUIVMnhyyqfEV rNQ0tkcs6UkYZNR7GkF0wRAfhhJQFEoUkwo24Fgz0leBOJpUarTyk2Q4X2xY ZWNulkNOFIYRBOiB0ZrqlmKRjtTQbrtzGof9xjFQvpIaMx3Ob1LTmlfTmoPn o7wSCJHsmAQexiMuwSMhKornH8RwV+dK2lsr8cJQ0C4iMztGEDK7Mn359gIJ 0tzdW93eGatvsfX0V2pMiZ+MaUVwkUxHT4EiOxIRDZLNof87PLSRT2tndzdJ qXFBRYcTmE/8oSSqrmiKT7T4sT/zGy8yEEYoPJY4FQpU/88nuHimNJ7B/o8n OFaydH5p/s8vcdVNfZB591emzAD/cXF+OL+0FBib+MiPmZKWH0OX/sElITXN VFeXgWWRjZmCeEYiX5paW1sQQRT5xyRpDaqiQj1DyAth+nrGRLth4kAX8qf5 BdB9whP9gpmBL+MingQnJPBj0By/JDWtv6fcJzLRZAFXS4mhiqurbX29tStL PVKVwjM8iae0YAi8GqcBx2KhcQJ9ZmZ5hW13e/78/ByXZFhZ+yBd+M+9y/29 s+X1sf7x6YGJmbbeCXyiFs5kd0AXpTd1NL+7OTw8nGdKzPsHW0CGe/v2avu3 c0NCfDKrWnt8idzXWKYLhvR1cILEYBwabvnCP06g1dmLVUwxGU3nTk11CpS8 JDW9tjVvbWVIrKe1dNi7+yoKS9Ic1WaBgaywJqY7UudWZm5+cK3/rH6Mn7m8 OT1qbS4a7K+dne7o7iwHAMnptN6GsLWVdLWXWXNlRotIqWeBWbivq7KnE3JS AkfSMniGTJEyDQowr6rN1aUrEiU0kZIl09IsudLlxd7NDYhB6Hd9ePDhgyke PHNpqfkOFH20LC3cKY4G19fGoACu1aGa6uz2dmdZWebq6jxo4Mnpgdqm4pGx 7ub2ynJn9sH+1j/XrorcvaO7TqqmgFFOY0xyVmch2jwEIwHZMC1doDXzwJG2 jorR4VbQFkWlprbO6uZmxwIMCFeXwfuOrixCdKmgyeZmOtdXh2am2sfHmibG WibGmkaG2wC8fHO6j9zz87zX9XsKZdB2K2sL90eQdxCh9N786kIoUwRkdk8s zjU2/jsU4TsU9kv/OENBaVp+uS+BjUnkvIiivjm7pQq/1UXsHABE9FdX3EMf 6o8TQT7ypb0IYfvHiY051UNTY0+jg2GOIwBmItzxwQhpgBcxEGYuus9aGX4f LCHclR6EEACBPmKwvItZA8t7istQd3xgCDsWwyO/wrkZHaa7pwWQoLOzOjdX YYdjagoKtNVV2eU1mWRxOF9FYMlieSp8YbkeyWFxR0XIU+E4irhEZQI4LbfM +O59LrP3/le31XhHzqLJt1pLixzVxd9H+LvEhL4mof0oUfjkhPAkn2g+RI9/ t0TCJI0xguD17d8+IcXP9Qdo6j8+Ptjb20Ycw6anB/MdeoANch36aF5YGJNC k6eCMTycxQtl4Z9GRKNZxIdointsAluB5SgTAAIBS3GNSWaiL68Nggow5YvL 6u0DYw0Ah4CqyyvTrGwMXl2uAey0sNIdTMa9jCQxkpkvIkl4Lp0uZryMggx5 AQSKWwzpEQyQEKPew1Diq2hoAzoYAa094kh8BS3NzGFJOBhOyvbedLKegiQc UWVy3r5dE6fRUjPYoI3u2g4hkJycbUmD6QiosAUNzigH/cSWRxPEoaFsfwzX D0o5x/Xv7m82Z0PKPboKS09NyCzV33yAhG/VvEdH2+B7T73N/AvT1SIxGmau AkoTSROoiHdaphQ19W+l0v651nlX11T9x2eRj/0pj/0gIqAnARQ3NPWRH7SA zwocCYqjhxEYnuG0L9yI4aTkGGrS156klyE0lTn3r64Efmre/av9opvC6+2d Td+oRE6KaX9vtaDY/oUrDlyfI05liZRBcRSdOUljEBQU6ixZ6qeBZFcU62kA zTOc+TKEGkgO8YiJco+KxvBeR3H9fCkoX0qIBz7MLR6NS0Y3NOXgxJicIn1X e0VaujG/MPtFMLOqKn9ytGZyrNlZZXVDUSlCfVCCiCngOmuzI8hSv2jWKxSr tCz3+BBif7p4+/aOlOCXF/Bf8Nu/BThXb7N54Vizy8vpRZUHh2D22RmdGn3z ZhlKxQKnq7t4C6X33dhazHSUwJTpv0FBKn97e627s4KZLHwQjAeA/5sQbHN7 TU6JzQvLtuTrDBkcXxzekJfX1JSdXaDaWhtdmOupcGYaMoW9vZVSDa2zs+xg Z2putoMsi5penPzfHbn2vkD1trm+MDJcDyZQBBEBvHQb09cG0UDV1Oa0NBdl 5ckK7NqezormxsKWZrvODAVTgGkafJ6g6moabKDedOlJKgPLmiefme7Y2pjc 2Z69+j3TsiCNPjc71NlZVVdXODkB0Rx9CiPdHllc6N9cH5+d6Roeqm9tKxsa 6SqtzAKICFykqMQg1dBLKy11TcWW7JSp8c53v48D9i8sFxdnja1l5ZUWhO1N rmMUFGk7O0rtxXpIpwQH+9fV22CCOFZtA8QR3TfYmpWnnJoarKy0zs8iGrNb ZAhw0chQQ09XxcbaMNgdGqxdmO9bWhjs7alcWBi9vDy7czj/vOVdokqUqE2p bIO0B2vri4jWsaGn8nm059MI8kPYQwMS5yNIQOR5Gk56iE6I5XO+CohRWiGf 5+t7qACsh8cXXEO5DyDKtdvMTT8khfShPvaj/ZdLrLWwDiC0FEuqJyHyVQLm Q7eijwP5YTfsH+iPvMkBAB29jMcgKOg9lAr7IBcJ7JWEbEC6pgS0BzHgNcXX ixi6urWJPO3p6RHors6qHDtEbWcCAKmuPk9j4RKFYYmKeE0mF8dH5Zdo9NkC AjSlYtjyOFupVqAhqDITiUK0NJ3T0d/44245NN339hJyIro4PwNSz+DUxGty 3GtyLHgYL2JYKMc/kB7gRwmN5PrdR0dggZJ6JPrEi9DHp799OulfVZA7L67O RiYFlDizY4UofZbAUd3wB49wSXoWWy1xTwimKGiuMYnPMbFsBVmTxQfQEdTP 4kqP1ERfXOkHDy81MqpbisamW7G8YK4KNzhey1VhFemszCJ5ojKWLYvHJtE9 Ykm+OPJ3aAJFQA8mU8AGwD+ILQ+Ou4fUR6+xZK84kksEEQAn8BPojX54skLH 1poSA4j055F4S7F9cLwaxwthyWNxPNT4dFNbbymcqZZGgQESDVYJgtbMLVUP T9QDwMaWxxJEYThhKPOWlyCKKA7HJPmFJfpG8gICaa5pBYqRoXbw76EcH7GZ rcqV3HdfQXr84GRf22CTvdIawfRO0dJS0yCKSK2JC0ZjZRqzoCw9u1ALYJtY Q01L50PpsapzwJz+y5sVnHl+cba3DxE5NrTWPvBI+N6H/i0Mhx75UQAI+eY9 szRYvvakPPCkIHbt733I4Fe3UBpMHE1+4EXyiRJwFTl9w9O/8ObvbkmQZu12 Y31j9erS6EBPsVQl+86b8sALylzmEkhT61PAm5osIjhsTSvVcNxD6eDXv7gS /Ymo8EQ/t4Qwb3wYhuuLZge4QZGwAWj2axTLGy/Ex/OZXrHxtXUF7W3Fk6PO OHoygS0d7q8wWTMbGxxKnepZMIsi0EVSJMEJPJpQ7RbKAi8VRRH191Z2dZYe 7K8PD7WOj/Xc/OLPZP8Q0huXNrbF8pSwj9/B9PygNjd7dWO6tr1pY3sKnNLY 3TS9OHxzs3d1tQHplK43rq823l2vH58sT84P7ewf3HysifrVBXnaicnB5gYb P1X6HQr/Mpr6HQoXwRIc7Y5nOWx4oTgnX8IUkzUW09J8l8qYWFlj7eksb2iw 5RWoGhtsaWaeysgZH2/qHKydXIDY5wpLTfOLkycnRzOzQ6cnn8Ng9M8oEADo HWhOtyYP9tcNDtR3tBV3tpfdD/aHM3zZ6+vzQEW1tzrApAw65506F6IohLPe z812NjYXiJVkk1W0tNAHpt3P8wJnYDY4PW5pKZsYb95YG4ETFiMO2ANQYrj3 vjdgd36ub3Njcm11srfLubo6m54t1WcIy6tzjg53qqpzwbuUVWRWVudl58mm J7o+z8P/rQIGNFCxKbD6CBEDFTrG0FDz1saiNSclK08OxsMKZ055lUVr5mlN SWtr8+C/evuacnMV42Mtdw5Xd3ARtEhtbd487LU+MdY0NdV7fnbSCjmbld7c A4GfIIf9jQqCYfaP9oanB07PTk7O3uwd7JNl/K9DfR5hAvvGhtnq5LJax+z8 ZGN3bUIyyiUy+kk4+U6cRwR5j4T4F9EJX/jHNXT23bzXG9+VdzeXXGX6lx7x 37+mf+mG//beMA4Z2iD9Ep4FsbVAJcVifBTph7B2/w0iytA7hRJMnR0M54YL dccHI0okyE8pIRx2SQr78X+BX9+7cIc/i/FPSE46g1OZXEGElFegfWubHOCj M1pE+TaN0sACWAixE+WVqKUGOksW29xuB/O7zMgAM2xWkXJgsHpqslVqokXz g5B0kMen+yMzswqrta1/dHZ5OpjhJTBoG3vqNjbmezvLlmb7yTLuw8ggN1wE ihWASfINT/ID08dH6Og20yLbm6qMO0e4sD47PvooAuL07DSKG1jTaI/kBZU1 5HYOTv6nR2hORW2+MyNRR2KpkgBa9iOFJpsyjPkSqZHd1GU/P18aGK0+gGX8 2tZCpjxGoqeBOoRIpQxUi10OAEOynmQqsDCSmRnWRK6cFc2i4ZLofAWLKmLA sfa3uiPQzZ7ASCmKAflpR9CpPlgIqyPeUCkaNlPCBLj92xBsVXNN30A5YuYj icI0Vu7h0QxPjRfqSAgJAJIPDnIbE4dPzbel5QgAZoNaWRT2Xr8UjRWiATpK EKEjuQHhHJ8YQfD88nRxaXoY5zVBGrmyuXRzby5GUjl0j3a4Y79PEIeZHBpB Go0ijQ5nerNkcRINFcrYmCOfnBmipkSHMDyAYCXX0pGEL79YgQOdVl1foM+U z8zPZOTqvvUifPf6E1rZ96LHD/noAS567EcJiqffpmT1oX7vS/7LK+x3PnRC km5m/oN3+Vs94QYyauzu7Kxvby001tukah1TIHFDs70iqA99yRyxxFlpMmQI TXC2EVuBVqZlu6IpftEMjigZzUBF8nxcE8J8SKgYvq8bLoCvFfE1fJGOTUqh PMKEvYoPeRkTmSDAy9OZ9uK8x/60SqetvCL/iT/dUZzlg2FhKHIMRUoXpSWw VRFk6QNP4msMs6PN3lCfBwTP4eHudIv26Hjvl9QnkldalmEzFZYfn775q19s albhu3cASOzlV5YOjPfsHiycna9cX28cHi0U1VS8vYTURzA02oCB1cLNzWFL b0tLL5LZ+Tf7LCfHu6MZ9O9RONhqHJ/lyD/aG2cq1MlaocbAKirRb66PVFRb LHmylpaiHpguu6ujzOm0mq1i0KMGRyEyKzCC9Q+1wfnWRTl5soG+un+EaOtf uYDhOt+uhzIbNhT09VTfh0Y/UGVCqKm0sdEG1ulZElBLABGBeVml55izxGCQ T1FTm1sK15YHbXZNbX3O9mch1blfRkY6RobrhwZrKyos83NDCFP00EDt4nwP 2Fha6J2ZapuZ7jw7Ozk63AZ4r6ev0WgRAwRSVGIYGWqy5CqUaSxHqam8Kgug kUqndXSk7QamrgXLZ3uLu/L/c/feb20kW7/vv3N/ufc899wf3vO+e0/yOHts k3NUFpJQzjmAhJCEBJJQQiJHkUQGkzMYDJhgGzA2mGySA9E2t7obM9iePduz Z87sOW89/dhNK3VXV1d9atVa3wUmi/dHO7xVDke2BjTCqrpcgOvN7eXgpbXV hfnZ0dZ7Re58/dhEjys3paLGs74BaQEdHR1OTXbBepgwFy2NPXs6jIggrbyY GB/vGRyoW1+BUhZ2dfn2998eHR1U11VvvjwLBPvfbToAs+OO+y1gIJBlsjlp dKXdqPPY7lCxfnQ8I0WcZEsNYZPCOcREtVSbpUYLhTfxPwcxnU/tf4Kjv015 5e6KesRbEsrJ0l8382Tc6U1PUOHISfhwBl6SmhtKSPkxlHclHMxnRYhNCbIj xUomphcW15ZDOWSAOufCSp/oT14wKAWzkeh+PKAjZAUtUhgTI46JEsUCBIK1 vtFfuiQhAW4ILEEamInosUeQr9f5Wsmbt69thakyKA09QWVi5JSYKuqc6W6p JpMDtsHhWoBGxVVWe546u0xv8sjAQP9wom1zbUpqFoAKtBQVSDJy8HJROEvw XxFkwI3CDFIYi3QZjTfkJr3/8L6+zeetdueXu/xo0PljYT/VL9EIMh8lx4LB J1YU2DXSevrbBV7+8IK0wubOqvbO6sQUdEVL4eHhCTPV0jM6AbDwXn+91pPk bbpH05JfrM1OP+korcs6Odl0l2oHRmta+0rXNqBRePJxv0hPlqSR5ek0sYEC KtNeqM7MV1jzMwMofIlO6s6D5h0pZrndo8rOV0n1Un/yGR1FsgR4keguiR/O 4IM3C7VSCJwSeNdxPJxQaPcowRvABDyIJiootxaWmUrrbABrAYxxNNjH872t vaUAlsAvAkBCZJqQ8LrMouTRqRa9S6RzCJBlQUBN3FTQ8rFYZYQIQJSBBAg2 VhzobS1eWZpXmzkxosCe0fbTL5zNjo6PfB3ljxegFrX7eufxs+n8uiyhma7z yMFopbfwl1efdY222cvTqxvztSZWe3fN6dcBEvKe1fUX2YVQmgwiT0ziQzai cwT69e1KhPBuvIgigAMlooRXwvlXwiGyCsZx/+5H9tZCCj/v/pliMGCJYl/n B2iR6Um1r+ByuCgQI+YqFWqjPJIsUmgN9XVZ5eUOKO0sLGSUnZeGYvFEBprF rUNJ4uIkqFgRGjRs0OZDWJjaxrwUa3qSRcPW0QOYGIIyLoJHwMjiWXoMjiun i/VPplqIPK1Yk55TkH0pTIBlqVHMVLsnS6C2XI0UXQrlGyxmmzuruMSxtjyu txVIUhH/5H8OA8iVzj5bCkgUb27v1HV23SRwX71Z/nC6s7L+uLm75eXWwus3 zwEUnZysPV4Yf7n1eGd79tXu3Pz8A09xVf/9zrnn4x8+bP6BOUyR+3t0+Ka2 scKW6yaIAOrzQhjSp/MjE5N9aU5rZpbSXaADg+bISCOYoftqs0aGGhAkGB6A SMlXk1XotTyaHS8os6xvLGUXGl25mo4O70Cv7+XmP8ze9X9oQRZWNrfWsgv0 zhxNWUUmgov/YKvr66nu6qpobspXmOjKDFZqJl9j5haXW9o6S3Vmwb324o21 KSiP7YuxrZcLyC/8mRcyMNCcl6drbCza211fXhwbe3Cvo6MCZoPx+bnBvj7f 3BMommNvd6Og2AiY0FNoMNrEVbWe4cFGACGgwwTsl1OUZnbJjTZRlc91fHRQ 6ctq6agcGetZfDH/8Yr+vAYAmHx9Y3npxdPnS7O7e1tP5ieR4wBsxkfb8orT OvvqV1afvf3Z+/f09euNxWcAisaQnIMT4x2IVuTTuYG11cf3h1vWV0aziysS +dInjwf3D06iEvUr69uN7cNZxU3g4x3DA/uwPPgfe5Hv3r8bfzJK02JsZca8 Gme00B9MkEE3lerRRPET/BlEfzohlE32h0WEbpLRickCkTEphM73ozBgKOLe TuBewCT+N1GUxCQTkvgbFFeFxWQTu4r0bGMCURVFTI7Q5agjaYCOBEEJNH88 43IYHMsWxvsfV4h55e1Pni9E8HCBTFwQ8zz6DMp+C6sefb6sFsZDIZFrCBFF iWLCBRFB7LiP+khfpoojwMYlaOkthE2+lhBrzM9CzhOMdJXtVa1Dfe/evz86 Pnz2Yq5rsFmallhe6Zqc6Jh/MlBamSkykOvu5Y2MNYHjjlxNbUtObVMOVRlb 3eiy5XsuxScGUblX0LRL8fQbODbocu+QRFE8YgiT9BNRFCOMrm7Pf7O7UVhb doMUFyOiBzGJ0QLML6LRGR3JwzVuaU2H9y8yAUSa8d7uy4eTg+Sk2JrmwlM4 MfrhMWQ0e/JsprQ5z9dawEjBHEH+ja/fvFk4OVkfm+kERMTWYJQZDIAo4J0D D1pZyfGKdLomkydIJYLjinSGQIsXpAriuSK0QGi0KVw5KnGqlKYQJ5lkfmTe 3QSIwAE+xfOEgYmQPxJ4Kd2h8CNBre4alpsoF8sMsht4iKPiuALQ5Bw56sLy DIBhCAU5izVb2zMKWIJAqIMyvulhBW9FOo2eFF/dlr24Oto+VK60MAW6BJ6O QISplaCK0tj49lwNXhlJUkWzDMTtva3W1nK8LDwlS/ordXUxw87Y45EUt7S5 t0ahT+wYaEAOgk4DzJ4Qx/uvBqQPdc156XZhIFaCZkqiKZIfQ78akMKFd1Ei tkJ6PVL0QzCPJk0nSyT8JFXfYINMK69uqDr91eAX5AxX1rdux0re7h9sbS6U VxZcjxL7oYTpdkVKhiKWBgFSAwCkCkdFJSyIXeEsK8/kaVnEpFiUmIBXRkUL sCEcPGAk8G8QLYGq4AJSwsjDMbLoeDEETvGSeGiyoEJFcVDV9R5vZRngutq6 0jhaEoquuhMvjklUVFY5TTZzAJRbVuHwOL7xZ5dUlk49enwzmj94f/TRTN/2 mYDePymv9tbAvymuomQ7wKp9SUbmxPTgh3drRwdLYJTkqMw6a05mTsnO3kKG uzi7qCxRbAJdd2pmDk1snJjqs5WULyzOLy5vfOXt+03l1c6Ley15XLUykMJx lTp2NqcamgsdkLS4srzK3t1VUVBq6uzwDl9Qz0aUtKF8tT2+4rIMAE7VNe6W lsLhgdre7orxsY7/FslqPy/gKattyG9syivxWr7QEv+5Wu4PNoD3FJamV9e5 CcooqZEKpjwiHam3v2l9fdaRnZyVp52fHVhbmQa3ePH5yMEBkkrmzwsZ3txc 7e9vfP78yfHRm+WlcfDn8HDrk8e969C62/C9lqLBgbrdnc25p5MWpzynyOjI 0aQ7pMVeM7jRkDMVpNufhPj8QIFjFZkzD3vKKqw2T7IrT+vKT23vqf0TruWz i/ql41APs7ezsfBsxlOgf3NGR+8/fug9eHjB9QI+XHg6tLo8tbQ4tbz4YH6u v7G5rKqucXSkEcvWFXgrB/sqXAUVQbikd+/eoVlpnf1TLzaWL+OifB3QRO+P DTQFY5nEysLIw+ipOH2OCtARORmxaUQTVXGxYlQImxDKgV13zvQh8f4MfDiH HJDIvEtmB9Foty7Yke6SBJdRDLUTWix7u/96ZmEqq8LU0JBXXGYVmxlUDVpg oNA08RhZVJwQnaiNxslQ/hjZpVBeothKk9mfLkL6itrsjBskVCiXGCWKC+EQ 7lBxpkJ3tJARzIEkHz8ahRLgkLSYAAbxXPIoQhBJTklMUNPD+FCmWvilz/yX CGeYxEzwo+FjxYwX6yvm4tySpnLvPe91UlC0kPZy5yxVMSClk5N9b2MOW4ep ackq8ppKKjImJps2ViedhSlSQ2Jfv29mujvVJtRkcvpH76e4CgEa3SUL75AE ABRheoRNH3hRODsxXhwps6ZU1mXXNHhwMs5PVFwoB/8rdERRo+LEgdXtEFH8 iUKRX1uGJ/sA/396DHLyn3g0nGzl1rSWIroNx0fLuRVGlZkpg4WJWGpUVqmh pdsLZQOBF7mQHLX2QjXAGJGeYLCJCSJxDEdgsMmT02XsJEmqRY7mC0FlAjSS 6mVw0jSeH4lvtCsMmQqkkm/guKwk6FPXMJwrGLZML3PlJpnsUjCOgG/mpuAA F/FS8FNPOus78hCFgWQLC5wYlHMEyhdDYafiRGZqQnIsLQWFKDlQ1HGQrUMR keFWtDSVcHQEViqeqkGtbC7vbm/oMwXuKity1Z/VDOyXf5YI6cxR/8OHp0uz YCYyNNLx9PmjD6ef6319Zdk/ODBkpmJZIkA78XRxBEkMJhf/dHHtHJBux4kE ybIb0aK/+7MNzlJBOmFovAt87YuVuQ3YwvAr5WO0xU4AVpVXUvZsbsBbVXo9 SuCHFuqtcptbiWeLFKk/A1JVpaui0s7WEW6jmRHMBLImkqiClJ+D2YQYITpK gEFJUARVJAlu6uAlZH2ZlAxBKTEphqqOr/TZM2xWi8OcbrfTxWqLI+PvATxd RlpxqSU7zxqIhaQpQwjybwLYaY7iCLIWx0q615JfUpKxvDx/+quw9/7d4cOp 8fn5sYP9zfnFFy19nR9OXw+O97d2Nb4/WnqzN1vfXIdiapny9CSja3S8PxCn iCQnyfVOMHIFYOX3R7qnnwwnqNIYCqdEl3v6xwHS4cGrne2l/f29zY0n4+Ot dk9yIeg2M2iVtVk2t8qVm4Ik9GxvK+3trvpyOQnAADje1VkO3gAl2uir6eup Gn3Q8XC88/Gj4f9+gHR4uH948Obpwgy45N6ealhGG7IUIflqodj/4abCSout QPPgfnNDY15+sTHZxo2Xhqgy2Hw9SWagNtwrzSw1lJVbnNnq+yONG2vTG+tz zxcGt7f+vPynn5W3b3cAGICd0dHOkfuNLxYfPHkymOGQ2rOTK2vcUJ5Zt8ri goJkzU55XpERXLvdk3RRWgTAUoZTXteQU+VzmWwS8CecqVba2e1D/DT+NEPi h0/LZ6929tbPPZ369CXYSL66UFvraWzMf/586uT4cPH5+NbGhEyblpxR2tbV FYQTvXm9/Wxh+m4cmy539o/MhCSoZp8/YxmSrhJi2ob7oM73D1U5AN+X4pbB oeVxOEU4omB/cSMoYwmqGIBJgDci+YkRPModGi6ImQjm9VE8wh0S59YnC238 a1gWUa7f2N4bm+5nqjHVzTnP5odKyiziNKqrVLcwN9TTWy010RipaLQ0DKsI Tc+ztPc+hEV+oOtaXH2OVZKDWAkh3OgoUdSP+BBzcV59z73rCbEhbBIcg4ZD GAmcD+ybjUa8sqElOXboxOzExOx4ICsUdMWBUCI27C/ZkYjgq64So6vaGwob ar7HBEaJosP5oPdOQMkSnp4ZJKHyeH4loyA9ghMRTMVSZAxJqtRdUPj86Vh+ ZbpAnwCmLYsLIzXNkBHp0dzI8vpWFFd5E89B0p6eZ4S/ncCNEeD9yJwoPi1e Go2XU+LETMgu9xGQSGdVHXvumI1XRJDUceCm6HKU7//dK2u/oXwAnfDbze0F k0fhKUt/uji7vLbQ1FUC60SdpWKBssoaE1Md/CQL61wHABBma19Zeo5MasAL Url0pUSklZKk4niuENRhgkQUTOWLU6UYgfAqlnsFw6XIRJ48FVUhvo7j3iLw gmkCnFB0HccJZykSlcnpDnmmG4odA7OqxrYCjY3D0eAEqURZOjWvEtAaA9Fl yilP07uEAh0RwBtLi8XKwxPgPGvcVLzcSGVpcUTYgkRLQdfX5bqLDHhlhNGt QDTSuzprHoxBEoJ/Tm/z0YDz8g5K+n0wlIY+jCjyR4suhwtvRP+CEelWzCcH wT54J44tkWllVyOEP4aKsEJegjpcnSVFQsK/4kKgV19u7/0YJgSPQWdHVZo1 k58klaRIXTnaykp7dp7Rk5fhq3YhWUWqqlwlZTaqBhPNwYJfj2SSkLYdwcPG S1AUdRSMQzF45ee9DQxIUYnJeHu2zlft9PmyREmplZWOTCfgaU1hsdXrtWpN Bn+0kMiT/RjGD8TK6FLj5TBBTkFWVZXd5/Ps7X2edwDpM2FBzpMP70+Wl+eC cJLWrs6t9YeH+9ubm7MnJyt7O7MrS2NT0wPrKxNkYVoCXx9KVPYNtCsMDvAr P8VJHj8ZcuaXUMXG6emBw8MXCRLDd8FsQJtdg/9KmphfrF4wLi/M96+tPtpY mxm+X2+0iX31WW2DdQ2tXmOmyIqESLuTOtrL7g82/OJaEiIBhJhNOjq8nR1l c/N/yOn95cq7d8fjYx3Dg/X9/fWAA3u6Kwb7a5qaC7s7K7q7KhBNpMkHbUaP XJpBezja2tiUBwhTkEbGKSNFaYlcPT7DJS0oSeemkezZJkd22vBw3cY6aAmH +2+3332dQvW/UD4zbiB/HB4d9Ty4f3R8BFrp0dH+q1dQnP7ERF9fX+Pz549n 5yfLfe7qumyzU4boh5w7P2dmKZ1wto5PUnhkQUak4jKzt9Ke7oBCxpAIEcDb b978myN9zq7611yGoNzf4MI7OqrBdgrNGrafLwzhOLqB0Uc6exVDnPx4pnN8 ZuE/btM0lpIUS7kfkRUhoNyhYuJEnPWXO//s+39bQdZuSpry4sRBFE38l3R0 vkE516g4kopX11iQX57F1stjhTGRHMoNnPBcVBlypk3g3yULv42mltTfW1h8 AgbEjCzF/JOBzu5ygS4h12t8uT7zcLK9FMpkZ/CUpREUkWVNORerbmn9RSiX eIMU4qxwpBdZ+ekpyxtrxCThbSo2iEkCOISYhhD3bCRs/1wrMoAZK8mUiq3S AGZcIJOE5ByB2emTcDbEDhYtpGX7Sv0ZxBAOPlocG8ol3CChtNkZ4DTWN3cz 3NVqc8ntOGlYgvpapOBahORKuOC7YO7fg0jyDC5HnyAxs0rLMtvaSrMr0/vH upBxM9medxlNv0MSnAMSoMcgGt2PwgxIZEVwKH5k9h0yLYCJRzysIvjYcC4O JY2HV3MiwZABT6ijFXYeNQWFloZILMxjRC71LyZmclG+4GIBPczp6eut7VnY DTtBkU5XZ3JTbLxkC+uj0iZFY+PmVqQBUkLkpFLsvCQzM6tEW93i1WWp6Spa HFfoT+EBAo9gCgAL0RTiaLZAaZTdwHFDaQIUX6jLlDuylQyl5BoOMihFswT+ FOH3sTRfe8uDiWa9RQjGEbAZrMLuwYqWjsI8r9Gar+Sm4M8VLMFPpzoERTUW PqyMxNTiSOpYEuQqDxkxaBoU3wCN6aJ0GsAks1vR0VbJ0GLTs1VwuNqHnZ3N hoaC/f3XX1ld547uv+8+fuAbBCFULJrFvx0HOe9dChXG0cRohviiMxIU8h8L gdM5LAViIQtSCJGfZBIEYsWXQkThoP2zyYHUSImV9u79r4WrI9OWEyiA4X3f QPd3QRyxxlxYmm20pllcGrtHUVpmqa4CcOI6y0sLiWNASWnLvA5qMp2QFIEW YW9hmOFsaDqAkcWHcXGxIjRRFRMjRMdJUIjV6JPAhKSYYA6GqRHV1WQ5PBkO txkAktdrKy1zlJSaS0ozDVYVP0mmNirAIxlNUVyPEpD5uqaGXPDTXV3V3GRP UUXd7u7GxX5y//Xq5sbs9vbi691Zi6eIwDOAifmLxdHOvtaN1cnjw6Xtzanc kjKTI7e7t/VqhCCMqLwZLUp35t6OkwBA0pjd83PDURS1LbuQJDD13R+6FSO5 ESX+uz9TaSw8u7O/6wGFhQaOD5Cw7rVlyBk1vzTd6lKsrTxubi832cSZUCor aHDs7PACBBro/wWH5IvWpPwSY02du7jcenCWxuiv1YH8noKYZqen+vp6KkeH G2vrPRW+rOGhJk9+andvbVmlbai/7sFwU0trsdCUSFRGuUv09Q05gCKYWixM 4NH8VH5Wbma1z0aU08AkiyRVFhSZl55PAzT6M6sJ4SVPlfc2FfPZS0dHB4hm xfHR4bNnk8ODDQUlJkg7yCU3f5rj9UvJtQynLL/EVFZhy3DKwX5ZlaNvoKln oPlPvLLfVd6BUeTwYHdnrXd4qqF9qG94JACrSLGWgnnQg4dTK8uPwP63gSyN uSyep/Sj4wIYhGAO8Q6eGYBW1bcPfvko/stGBvBVvWOdGYVajCyUBK2s/dJy D+SeigIDehiHci0hztvg3dt6UdmaGyuKuE0UBlJpEVzy7QRYVxnPvYph3yIk 0pO5YxPdM1N9uV4TIym+qbWwpbPYlp0kS0ucnOrwNXmUGYwKn3Px6f3Bwbqq ak+qXTQ+M/wa5lswzStpqrV5HQdHZ7GW2b6yq8SYEDYS+E+AlY6w5yFs4fz4 j9pHBHCSd2ixd2mxH9+JBSgVzMZcUEw6W2WDqpQNZY4DO7CkEi6IRfJnYNHy xKX1lcKKjv/7MuG7IDacr4cPR/2AsUZwK1rO1yURk8PwynCeiewpNpkyRZ6q TOQ8wZnTNea/RZLvXLQgJZz5aIGKAiR5iyD0o1D9GbhAFrxQyEjwo0MnEysi Km1irBwaLGJFAcWNOcZ8NTUF03n/3l8TkJDyOatD/rGQP5LvXq7YQELyfQAa ARvgJZmRiog0CvUJ3UNQwpFkK5ulRgNSsuQps726BAk6jCXCi8Q0pTiYyqMp RClmeVauiioXi1KlOKHoBp6XapE7s1VpNkWGU0EUi65huf5kXghN8F0MDTDS q9fPpp4M8zQig41ndSdpLFytnVfozXj1at7j1fNTIRlteTrto+w5sazerncJ wXGFkQaZj5KiaRo0YFSsIjwzL0VopPCMFLmVTVOjuzt9PaPtWEnI6INu5ML3 9rb+ZN+wze11kZlKTAolK/GIpBgAJAxDnJIuv37BfAQA6XYcREQfdcaEHIX0 ZozoUhgn2cyjiuQ/xcrCSLKbMXxakgirCFBkpD94+PhLdxpkf/nFk/n5SYOr eurxQldXzd/8GCKN2ZPvyS/MrK5yFpdaAJZUQYloIdGwutqcns6K5qbcqion gkzhZEEsD4tVxvrREmIEGIBDYLbiT08IgbTI8MjKGuGCHQlm1Ng7NKzOltJU l51faK2ocCLE5S23FZdYwL9ZuTqrS4lngzmLMBQvvRwuyCvKrq11t94rlOuM 3wfzXR7z1kvIEwkxtrf2DPf0tdY1N+ptOQvzw/4YWXNby8GrJ3VNdTh26tSj wc2Xc5trD03OvI6ue7wkyw/BvFsx4utRospaXwwV0mx6tT2d7syjy9LZCpPU UKA2F/3NjwkY6YcQbs8QtCDy7g+w6kO1vbvz4sXiyNxs/+b6dGtHic7Mr23w 5JcawTB3lr/PKa/yue4PNvyiy83PycgG66t8TotLXuC17u1tn3//f49y7gzZ 3+traMoDl2nP0WxtbzS2epeWn5ZWOzM88v4en71Ag5KF4hWRwvREX60b9AYE VTRKFpZkZVFkyddwHEWaVpSquYxmg0lWKF0o0und+Y6DM+3BP+Q8P3mgjo6P p+ZnLzYVKHT63fvUHEcoh9zQ1VPXNvil9WP/7auBPh+40iE4wRxoA54CnfVX UxqZnfLcIiig3gwpVItb2itOf7cYxR9efmVGgbwyPD4HujKOKosud/4Yyvsu kE2TQWnl1zZfRSVqifwMitjsR0MCrxIC6AnXo4U/hDEiuIxXb14j3tq///RG Z4YwsjCs/BdW1s43nCIOdpMmeErs9rx03z1IzDyjSHsViw9l0qkpcUF00ncx dP9EdjibjRHrlVaL2soYGqnb2Xw8MFQLhj9HgTq7VO/I13iKdSaP9P5oAxik 9C6Ru1jX2lGaU2ISw9I0KjM7v8q2f/j24hnOLz0DPw0QKAySOToLSQPkcy6g Das+gj8JCAUFs6AktucsFMaLv6gbCfsjnZmSAj46I529xCSGcjB3qJi5pYWu gcnL4bybMRI4vO5skQLco0hyit5eegdLw4qoWCnWUqjtv99W3lKImFOOj0/U zgKZxXMe0PfFxr9LorN0PJSUfZeKuUvDKcwagoLtR4f8rMwFbq5RRUrGMHW4 RA2qpb8+NVvxO+/yn1OQh/odlP/z5OGjzsGx+myvkaPBStMSEUZSmZmKDDrg EKEuAVEZ4qbgGjryN7amqls8AJNaeoo+fNj13SvACNhBVC5RLJbopEa7wpGt snmU6Q4FZD7Cc8kyscUFGZaTTZDONrKUeYvADUwUSMBs21t2evqmqaftBo4p M3EUJir4IVdRyr3O4qXVUUEq5I8NfgsJXgObIJWYkSMvb3ACfmvrrcmusMZL Qxz52iQLJ14anFeaUVLlRMtCbSWGRA3a5klamJ9KyhKn2gSH+2/+5OEGeRZy fI44cTBFE4MSoZA2eSlUgGaI9VbFjagzvSMEkPzRIppYEp4ggiIgIoWBWFE4 UfRDiIAlE3GVEn+MEkVPAZ9NEOoyi7ITBAYiV2vOhtw4P+m94f2JqalYanIs Ta+zlTiys/8ewGZKDQZLJgCkUq8lv8hU5s0EAAMwCWzV1a6amnyuMq2g2NVQ 53a4zaF4eTQXTdFEYqRxcWJUJB/zMewiIU4Cjkdj5XEXF9rIydGxInQkH803 ULILTD4ojxu8ZlfpAjAG6AiQUl6RQW+RAgj0Q0muRvCJ3NSWpoKW5oJqX87N aBGaoWpsyJt7tox0s8cnh4E4OUNmInB1+WVee04RnqtbXR4DREQWpiWZXNaC vKLKqrXl8anJfl9D3Y9h/BvRou+DuUSevqu3FewrDU6Lu8AfLU935flj5AyV +SacQfJKhOAOSra2CVv13394u/8H6EauLM9U+BzufO2zheH+gRqjTezIViPe R8jYZ7JL3PmpfT3VTc0FkJdRb/UvAtLYaFtPdxUYHMt9nt9/Vn/NAvrc6cn+ 8kpbeQ1gyIy2Lh9yvH2oCSUO8uTr5OkMvDKKoIripZHyio08XQJDi83KV+cV WYMShddh43MA5czaD2a1AJnQPFHfQNv+/pvj4z9MJRK0Q0QI4ujkMF7K3n31 +TqXIS/rLg0bJWBciWZNTD87vbgShwyCc2M9XeXDg5CHVW93FfjXDq2afS7X DxoJaC0OSKFall2gzy0ygF5Lb+Z19Naf/gWCoE8/ueoPXxz5+T2gHB0dg9EW PIbhJPWlUO6NaPG3geyG9vvHJyfWnBqq1IZlZ4TSBP4MJJiLcBtPvx4pvRSP cVUVtQ31q5zmcxdQaL3yyaODw9/8eB4fH8kyOVh5GCLX/A/MR1APBpDjFgWt dugXAPL0+9bXF6vbyplaTZQgcHRmuKK5i2cwtg8OL609Oz5592b/FV+XYC9Q Lz4fefyox12cCkZDS44y1SHoHawGo6SjUFNcZQEHRQYyV4vPcEELplZoqVRV 1Zh/8u7kowD1e7Avs5luUWLDuPgLS2lQgP8F7AFohIETruE+RvHjkC2cHx/G Q51j1RcO2595JRFvkqON+W7kHjGVzu+DOecpUc41LQEmXYuQfBvAlRrcO683 L9Yn8hS0DYxeimPcJTODGYyfiIJPAUngn0iRWqktfc0D97sLq/JF6ZrWga7r CXFXCTE8Y/LTpedLa8urmy9aBurXt1aPT47/Uu7Z540ZedbAPdp/+/olvLZ4 Xh4vTMtMVN89T7HPAu41RCMwJmVky20FSaANgPsO/pQZqcxktKdMd3i4sn+w dHS0dPoBVObr+xP3uFqi2SX15CUBQOKoJfE8odwgJUlFd0k8oVZiyFRkOJXg IFkqCqaxAR1dxbDZKangS7Z3n757t1HZUs9QiySGRIGOmOYWL6/Pb249auws gLS7jVSdQyBJA2hEQNKxsTVYX4tH5xQurkJumdXtZTVtZZU+N04RwdUROzur QdeqdPCN+ck8fcLy4tzw9ABRHj40/G9QXQD8mewS4VUhWFGiH45xPUoAQ7sQ wxLrLIob0RAXXYckxSDbUTBOZHYpoaW30LOmG4wTfxPAS7VYNBkG0NuA0f9y OP+7QE4gVoPnGuhSY2pm0enpyUUfCQSWOvsnLoVwA3GK74LY4CPw+p04npZU UGR15ahNdmluYVp3V2V7W6nXawO8VFPjoYq0QTh5cprZDy25FCIIJvKJCgxW ERvKwYMNCp2AHQhjhBicPA4jiydd0EclqGLixGhSUiyY+ydbBLW+7PKKjzFx XltVlQvwGBgdXDlpunSTSCMncMQ3oyUlZVlDA5XiZN03gTxbljnTZQ3CShcX 56Ge9vgYyzHRJOmxVI3BlnMplJdfVn56NN/W1XwrRpzuyskqKgZ0NPtkqLq+ hiQwgD4ZUBbAJJYiIxivAFWXV+r9LohLEqYlio0Evp6hyPgOSiUJMdKtWGma oxQ8Cj3D01Jd3u+5v6A5HR68erE4BsY1nUVY35S3+HwUoFEGPA4iTiaZblWx 11xYmj7QV1tabm1pKeztqe7r9Q19XFY7909+MNI6+bDLW2WbX5hGvv53Nb6/ ajk5PkL6n63tDQBIoA67R1rBoEZOjtXbRUIDGQo+hbR2kYjUSCFo6Xo9ii+9 AdMR4gJx5h9C5PmRBVcwbJVJf68pd2YGUvP7l9dNkQ9Ozy4WVXUgR46P32WV 1Efw6S93fpbqert/4GseUDktP1FQEXzqpXB6ey+U//rdJ/r8pycnR4vPZpBU vJDbVV+N3ZPszNGAfy8usQFkyi7UN7cUml3ynEJDblEaOOitztraXv8TlIL+ Uflw+ss/PTc/MTHedbD/OS4iEhyVDX0RJE0wPulKOB8Mu1cjBTeiJHmVjRxj chxDm+aqgnRx6aRA2FMlgJ5wl0S9TaQGMkjT87MUjaz8HqQxjoTST83NomXc w6Pf4FeGnM/2qy1qCgY0HtIXXESGEwFgZHFEFdg5g4pIAX1+cWFra/UtrOq8 s7fRNtj45ZdPzY4ZPHJ+Kj6rONXkllY3uaUfjQZ55aaCygywk1WUCqbzYAhL z5Y3NuWDuWeNz1NV6ezurBkaaj3Pwbe0thrAhLKnhfHiIkVRoReMSBc1sSME ceF8VDgfivoH7wEgBN4GdiKFMRdsR8QvU5Bc8E1KACDqzyCiZKzcWigEL7u0 5W9+jJsx4utfxAfdgGbuXBQjbX0Tycf08c7CYspZ5fXfxyRSkmU38PSrGBYk M34W0cYHgHSXJAxmhvaMQtGIOzsbM08ego94qstoKRJJhvrr7+C/q5y35NW1 RbmNay1M9VbYn85NLq0997YUjk4Pzs4/THWIAY3kVhi9DQ5w64V6yNFIqEvw lOm3dx7VtUNxZOI0siKdDnaMHsn27uzp6d77dyunpwc9wxUpdhEnJTWGLcQK xDiRmKGUkmXiwEReOEOQIBa681RcjSSGLVKl80WGxHihwp+UWNtW8+HDy3fv Vnf2ns4/G0x1sCVpZIBnlU1ZR0dv3p2sJVtZoNUh4Wl9I02OIr0InFVaoseb 9mJ1fu7ZwPrLn2PDH8+MprtkYIDOKTYWVdnZOuLk4xFKcvzzFSjzEbhqXaZg Z3v99Hf0n/9CtQNaLmsuwIgxQXj5j6Gwehgcm+aPFuks8lsxkBv2HRQ/mCD4 IUQYShBRxZIgnOhm9Lkzkuhv/ixfY52vofrHMB4vyXotQngXJfshhBNOSuIo LRKt9fT9K3BB796d5URGeqqqxr5vAljgQbiCKHJHgh8S3I4T19Xlewr01iyF zaNpaCwcGW7s7qqorHK23St8+KCRLEgFrBKIVVwK5atSjVqLJloIeWUTlDHx YhRKGh/OxftTKMFsAkEZexGQEMVUOL1LDFObUFhirq7KqkAYqdIJ9guKTHkF xsb6bLvbpM2Q34kXRiTIO9pLm5pKfoqF4K20zBlLTWKIFAtPx8D5v1jd/ClO As75Trz0x1Cos73X0eTIK0IztSimliw0iLW24zdPcorL/vMu81okhJ2Xw/jg Am/HSf7zDlOms2stnm8DOQEY2Z14GU1uBs8+kgsA/PtDCBccf//uhC6zW3Jq QI391tx2SDk5Plxdnlx5MT42ds9ToMt0KzLdsump9p7+WmOmGHARZBZwKQAv Qd5HfbUjQw3eykxPfirg0samvPvQoOlDotgQRUTASAvzQ49nep/Ojb3/b52O 7WKZnBuPFvrhFZEJSbGAkWgadKI6HlGZI0Kiu1FxQsJlNOc6jnOucgz654sR RlexHIlO29XT/HL7qxRHf7GAmeMx3Ax8zf0opuHo+OTw6Pjw8PineGEQg4Qk NkUQaGfvdSBWxU1LvUPFhHDIP4TTssvugffDGb8+j8Tcern6YOTe+IO2+0NN AI1a7hUBBLpoRwL7gIs6OryQY3a2OitP6/Ak9Q62nP4OJ5w/sIAp3sutdVjv +sPu3hZozLW1WV09NRfhDfl/4+UelmNMsZZejwLTEB6An2tR/BtR0kgu+0cU VmUqSkov+T4iIYR7BgP+iWQAS7dIGIYuqbq95RohJslp2X4Fjc4PHk2hJFyH t7Sksebhk0env0V0bufVNj0VB+PQz95HcIB5PJTeQsuIFhKjhZgbJAzg29L6 ivTCbJsX9ki8EEULW7E+fNyBbmx+lU1iSlTAucmS4LUVuQny+pAYIMeP6kY3 GBmVZoYmkytIJdY2Z7fdKy0vt0OeDFWuwkJjZ6cPiUgF9xT01ZbSzEB2EEZO R8uJ4fzooE8UjaANgNDHDVKGBFsIBzQ2LMAq2AfpHKg+C2cDx8Fn42FnaSjY LRgS7ibcokApcR8/m7fl1v8UK/kpTnorRvKZ7jcs/Q3m46xISsrrt/unF1xx wIzgToIALRajREqVLT8j33sZxbiB49wk8O+SGbcTqFfQrCiOdOHF/NGnJtzX b15NTD949+74omHwD2qYf0BBzmpxdQHs725vjo71DA23WT1KjDwMMHaqTVDf UCA1M+LEQXx9QlIGE+Hh9GyZt8GeZGFBkWJQ/BoB4NDm1qPxmVYAKoJUAmgb PC1eY+PMPx86Pt54ONMG2oyjSFNYU5AgY8nTOForS2GikGRkuUEaxxVKdFJP fhJJKhZqJUoTGdC1xm5kqUnrL0HLf/nh/eqbt0sltZkcDcRChixxRaNzaKzh w4eDhs7Sho5c8OXeeufrN08huc72ckOW9MP7dbg5g/Z2cvrxuTg43B8earOW 6KXp9EczI20dVS83VjxVmWqXCLyh50G7rVh/dLh/+icC0nsow8hJmtP3YygP jMtItjVoNQ0mdhRdDBuORHfR3LsYVhxNKtRI7mI4VyNE/hgoBcnVCCGybMRP tjydG46laoRqSzQ1ZWZuUW4o+ClWlCgyijSWk6Ptiz+KAFJ+Rdt/3KYFYOQ0 se5KOOAHEYANQAVgmC6vyo+nSXgqcZpV3dxU+OB+Q7LRJksx9vX4NMYMilDK lEluRUsArCksbIwMQ1JHgY2cHA3xjyo2kJ4QxsV9DPD/ZHaGdEpoWbhAz/NV u88BCWwFxRkVFU6wGazJGpMsPAH8unV6Avy05W/+nGiKUqXTA0zKK7Q2NhYs Ls4CYimv77kczocXHwV+aBlDlv5NIAewTSxVfStG3NvftvR8FFAitLgWJQJb KFEJvgGg4NVwYWWtL5KcBCrwuyAOU272FFeBDyKrmTejxX/zZ+aXN88+ffE3 P2aC0Pwv31/w4O/uvFhbmXYXpKbbxWpTEqhVpUHjrXJaXdDSiStX6ynQZufr ensqBvurRocbu7qr7dlqAKjZBfrB/hpELxpsDY25fb3Vw4P1gI7uw0qSH0MJ /kL9yR9YzsMfQJ+5+3rHXKyLlwQTYH9C0IRYWjxBFf0xK0E0SoKBI4l+tupf imfAyiFn01j4X0hstr4L0iT/nQHjLV2jYIyIpaXa8xtWX64F0akhbPLqS8jZ z1VRMjINBRhSRFZyksKPjoWWaVC87wI5dW1QrpD3737hfr17d7K7uzk3N56Z Je/rq/NWuyBh8I/+SIjrUXdXOWgzGQ4ZmL/kFRsBICGV83su5F8r8K358OrV zsLzx49mJ3KLTcUVNiRLYFsXtEpYUGxsaPV+9qnDo6PltY3F5Y173Q9AlxXB 5t4hJ4DO7Q5WEMwm3kJxW3vGIyjq22QCEugEhnh/KimQQbqdiOUaNXil0J+O v0KItpUVbO3twGtDlPqubpyCt7G1dfrVnfb+wVutR46Vh6GkIVh5OFkdB9AI bBhZKPgT8DbfROKkJV8lxmcUZPnRsDlez96r7ZXNn2NDvqx25M++kTZuChZO cJ+YZIZil+Aob4iOwEBpzlGY3FIhFN9EA6NkUXlGdZULAFJ1tbuszDo0dO/N m7M02aAcHB7w0vmUFKo+14FVAoz5RF4bWS8D9fPlFsaLh4PdzhfXcBf9tMGf oA4jBOgIPsGPRgxgYuKk8f6McLQcDzCMY5Ru7mzvvnr79PkqVWoD/eF5jl1E 8RvpaQE74bnpy6ub52f7Dgolftd1f0yRmUVTW169eSMw2q/hqFiJ9kcUyVJk Hns0/uDR7N6rt9mVRWn5WQCkD4+PXr99+1fA+39ajk+OZRaWqUDzem87q9jI SMW1d1RXVLtoahRWESE10cQmGuiUQHdE1aBFaWSZkcrXQrLVRdVmnVMAbr3a ygaoDJrB/LPB1Y0pnZPPVmMBI3FT8GlZ4pGJZtBIQLMxeaQGl0BsIEqNFKWZ 6SzRik3aEBqknm1xyRUGUQCZm5TB5aRgu4erLblJZfUO0JzBtOPDh63ltXFk RY+VjO4crOgbadbauYeHb8D5949WiwyUza1ZKPHo6f7+wb7GJnjydOjDh1ew zeTz6z08Olh7uXIKu+KAsvZyOddnR7yy/2R2RX5uaXnz20DW5TDerVjJXZTs xzDe+frv+TraHRTvZhybo5SnWmTfhyWm2fPTbPYrkcyf4rjXIsWXQnkAjWaf DAEYsLhzp2cXQL9NFlkvh/N+COEJ1eaTw5drm7s1LQNbO5ApCTGGALr4f68n xtOSbFlmBAyuRAiC8bL+Xl9Zec63gQKOUqpNT5al6O0eXW6hM4Sg0GUY6+uy Skptdo86OU2J5/Fx8liMBB3Lw4UzSCGQRiseK4fUXEM5eFhJPgYtjSfCnkig CWHk0TA1ReMUkYp0YVVl1jkdQVFykB3JVVSSmZapsnuURpu8qbmws6PaDyX5 MZQPTuynODFdrG5tyfZ6LbNzkH7v2sa2H0oOThuy1UcI4AUyKP/jNwEccYrt +O0TZ34xQKZbsWJQDziOjq3MAJf5bSBHmJKZXVz2XRAXNp2JAnHyrPxif7T8 brzkOlz5l0I441Oz2kzv/3MlwVvX09rzYGLm6b+8nLG1/bLQ666udQ4Nd4aT FNci+WyFyJWrsrqVzhxVhlNn8ySlZig1Jl1zc/7i4uOhkQ6dmQuGwvrG3NGh xt6eaoBJdQ05CCwhdLS+9uz3h9j9xcuHj+X46CinyuYsTEm28fDKKKoGxdMn nAMSIrQVJ8TDy2qCWwQoi6jB7Q5nyq5i2VexrOso3uUYrj+FVVBdfXD4GzIk flYGHz4ADxeY43YPTgKKBs+s2lz2+Pn8nUQcAKQX66vgm0VmfdtQb2f/ZFhC Mk4u8aPjACDdwfL/4zY9v6IVHvuOKtuaX799A1/h2WUi339w8DanyDg+0Vte 44HDG1VIyD9sQdKN3m+5/6ATQDUAkqb2iqFRKJvqvwWQECm87v7Gytqckkq7 xsgcfgAJr21sroBzLigxOXPUmy9XDg/evoKlOd7DM7Lmvm6lI/39h3cNHYN3 Ccw4GR0n1PwYKgikU6/h8F2Dk6DSvo8khnDOBvcAOjTiB8KB7aEcUgAD0pS+ S8WWNNWqszJvUeJxoiRKsiqnBsp18rVDLexSW9NZzjNSCurcSgc/XhKEhSRt w9ILU+xlJroWJ7dx9Lk6W1nRzt7uzNz0y+2Nr/viDyW1LsHPCa0oUlgA53wf cUpB1G/AaJiUzuzpra9pyC8uNXvLbRMTffCXvEeCtrb2tqV2GVZJDOdSQ7lx IZADwz9M0HZxg8WRzt9MAH+eG44AVkUJY+Nl2CB2rB+NECUkZFVlx0jiGAbG 4OTQi/Wlje2188sh8DIuAUCKFp07IIEN9LFguxEtRmQtP3uOdl/vYaTSZFem 2KL/z+hwoTl17/XbuedPj08OVjbWN3deljZVXyeE13VAq5P8dK2vE1puO/rt Wcj/tHL87vjpMqSWs7G1qnIIZJns5r4aloGIV0Z6fVm+uhwyFPYVAf5EJv5E VTQ9GSU3QinPkEB+V0mKDpatTrHzDC4RX4vvG6k7OFzJq4R8uUFjAOzU3l9W UJ3hKtHqXUIIk7IVrpLUwbFaZ3FmPI8cQmNQlQxVBkOablWadXwtDnxhWb0N AJinTF/blous0xX5zAC3YPFJ6urmbGVzobvMADqHg8NVwGMTj9pOT3eWVqYd RRpw3zoHm6z52tPTtx8+/DFp2f+3lsOj466Bh6ApBuFUHX0TRL75v/yY16PO kvVAdITmXArlhxP5aZmyZFPaXbRYqLEpDelXI7nXowVw6+XHUNW9/W2g9dY1 Q80vmqpDaAEyMUXxJ2eme+9P/1/fYRHp/ndI6MHJiSO3ODsvw55luRMnYst1 oLMKwUt7uiq95W7wwViqmCxQfhPIl2olOYUpmW6NxaWprITkIotLbCWllhJv egTo3KIEdzGc4MTECB42VoSOFuAi+Vho+SM5BiOJ96clAEYiJUdhpFimhgNa EVWNYWpxpV5rdVXWRToCkylkv6gkA1bAk9XUOgGTfRsE+Q5dDhfciBJ6cq0p Rn1OYQFSdTt7b27GQOMUUlF+aPlVCJag9CsUYVpuiTeSkgwq5wZsHCML0/xQ kFoUmL1KtPZYmub7IG4gVg7eD9gpzZ4bhFMUlJXD3yC6HMZPSi8Ec6UQYvLk o2fgYDAh6fWb3yDHd/6mk5Ojqal+liJjeqr/ze4jkyPn7/7sGKqKq1KFEYR0 sTSCJImjATYWBmCEBouwpjH/1Zvd4nKLKy/FkaPu7Cjvh9J3Vp9Ht0HZ7Qfq kCTj/70BCSmHB3tjD9o6u8sf3G8Cl89NS8ArIk0OKVOLOWckxHQZTGfeTmBe x9HwEs3Ki7E4vjKcKTW4s+5iRUZn0YvVpX/tBJCFlf3DQ6ySew2dMPNk6cHU /LVIMJUWC1NyH84+8qPhQ9ikpTVo1JBmprXf7+clZ38bwEZLRACQgjmkoATx f/zEsBdAPtXPll/8REE/WpiDDBGfxpaCUlhmWVl73j/UCgAJsh25FFBGbHdS frHpzevdvVfbGU6ZMzfl7f7rP18gFDEcIU1ud287u9BQVmVHVL4fTg0tLz0u KbeC/ZxCfVZuSt9Aw8jIveUXoPcGjwA0/cyvqwSEg1cKooT0IBYxXsrGK0R3 iSw/Oj6UxXq5syvRZ18joKFUrYjaD/3juM8i+lHJwYxEfwY+gk+jqOU34Wyn fomky5h4VUaePb9+8vGz0694HJA37B+8BePdybuT3dc7luJUc7EeAJLSzn/9 9tXozNDs8xmVg//Jp371m2EptnfD492IEuA5FJ2hkfEMis6PiNPIGVnyouL0 zi7fwvK81aMCPeHAYMuXrJtZZrtFiY4UJEYIUJ95EMHe2ng4SB/JrUb4TPII dkZCRwh+dvAOF8RGiWJ5JpXWYw/n4QoaCuaW5mR2+ZuPjk/ItYDBIbu0+b/8 GIjJCODQD8GcWJo+iqINwCq+CWDpHRXwO89awtbubnlLw8jMJD1V9VNi/B0o SA2LkXOGJ8fSi3LGZsar7lVECegBTOLtRAxKRFXYjZ6qUrSUC1CwsL66tKl2 //Dg8Pj43+hN92VBzmTxxTxVjSpthlyztjZXRXoSWR3vLDPJrCyUNMSQJROk kWkaFE2DpNkKB6NbWr6CpcEAEIITrkGR/upMDuKPpLZyHEVq0Ei8DZ5Xb5Yb OvK5KViBjog0EkgTwACHNFqYKjMz2cqy5Cm9Dfb7DzuXV8e1Dm6hz55bkSZN g5KpAQADxCVJS+Sm4La2Hy2tjApTobU8VjKmsTPvXl9LoiJ+cRmyIQD6yvYa XqyNDU+0FFY7UmycsZlpd5WbmRK/DK8b/kIwxee+hX+J+zLw4NGTp5DqdWpm GYalvRkruBXHRXSz72IZt+Ml9hxnXolxZmaIwEsD5INlp6CZKZdg35sr4YK7 KKmnsBS0Z19D3buT1yhmGuB/xC76TQCzf3ik7/7U/7xBUWcU5npbRifPNCQf jLRWlpsdbqs/WmJ1ZvijZUFYyb3W0uamPEFS2jeBvPzifJvbLUmRc5XiNKsK 9H5QeixvZmWFs7ranVNkICdh0NJorCIqXoQCI1RiSkScJBIjh7wfiUkxwVRS CItASYnCyGL0ZoMjTxXBwtpcpopKW0WF81PzkaP8gj9SfpGpqDS9sMgejJNe h1bHIP+oSJJSrjP/zZ8TSUnd3YMm4Fs7rzwlTXJDDnicY2naEELyjwCW4NVJ QEE/hPAQ+xuoJQA/WHYqUl3gVcBFgHmuRAgAR92KEQF6CUtQZWYXqNOzvgmA XNajE7VUifV/XifnlLWA7X9cTUh3+869Dr6+7L/dA6PDwdsVc1auLafwze7M +EQv4L14RsrAcOedeNn3wbwbUbzvg4XhCSJ7tjq7UA+GxacL0w/H28fH7lVW O6t8ruHB+s/ktUeGm09O/kJRHv87CqjtjfXF3d3N5RfTo8MNoEIAKI4ONTa2 FggMJDAuM7XYi0YkvDIiRhTGS6NHcjhldVWrL8avxnON2e6Xaw+d+YVLS1B2 142tvX+al/DL0wD/vt5/C+a8KBn7CgbTd3/6xcrWbTztaiyVLnE19/TdIqPC eYkLy0uv3rwWmfXtw/3J6aU/hDKjeGx/Bi6USw4jyy9HU4ly1drGdpIz4w4V +/jZ01PYe+ez33oy9xAM32CUutdWlulWunJTsvK0rhxNdT0UKbD3aqegzLL8 eaaDP6Nc7CTHpwZLKx3OHLULUrNMSndIK6od7W0l4KZA6VFgwxcAvMam/Pfv fnY4WVxd7hsfKaiv/hEXBaAIEE4AnRRABdiDixHTMVLBbSIVgFMA/SMgnY/1 THwgiR/JZUFGJAY5iElC4tlDuISbWCpLkRVB1rxYffn+q0dYUL3be1vncVLg QwMTPd2j7R/VXT6sb62ewB6b/9QlBnl1eX1RaqR+hkbnaslyE03vFCJB1hID dBBMf2p92UVFprmnU+uby2NjPcgC5cUz7BrtnpybjBWT/WgE2AEb/5F8COF8 iHyQLYSDhWUhsR9hCXeeVQQR30bUEsJ50EcihZg4aQI3nR/IChp4OAia3+HR 4ekn0ujQ+gJfDSbIAtAHBuKU3waywkia9Ze7oOlGU1OvhPOnHj8/PUMpWGtl qPsKIcqfQfCjQcbSYBbJn46nauXJWZnXSVERgsi79HB/OgHc8VhhYoyQipcx QtnkBfBUz88Gs0mVbU0sQ/Lq5leZ6f60csZ+m6vl1S6iLMJUmLK0PN/fXafN FGAV4cl2viSDgYUDvpDgfUYKhmckNfUWP3sx0jPiM+XKWMloJKZeBCs5SKEI MmJyJnt4okHn5NNUlOfL84vLDwDnyEw0wDYaG1cBpyBBmEpj49S25oCO5/R0 +/T0Te99H1uNTssS610ixA6JyAgozYydvSeeUh0C5+DI9s6TQp/DXpgMZpaL KxNaO3dips1Vok2ysGUmSm1bGUqoJiixfQ96ixuy708NfIAVXM/Xjv8KLPRl uTjslte1Dw13JJszKEl0hA2uxVLsefmPHw1o0s3PFkbRTN13wdxoijo6Mfly GB/xHfLHyDhKM6ACr696bhZSPoRMLtFi2DOZR5NatZklAJnuxEu/C2Ir0s4s MBMPh+7dK3F5zH5oqbfcgWUlBWKl4EhLU25ukedqhDAELweMdH+wiq/SUoWK gpI0AEjFpWYo4UiFw1ftzi0y0lIobDU3GCcJpSWg+YnyNClRTsMrY9AizM1Y HkaKQonigynkYJwiCC8Kwolsbg1sLHIh4pOIOnemK62kzFrj85SVZ7pzteUV 9vo6t9ZkVBmsYJ4OwAa50mtRYnD+FJHl4kIJkZ/xv27TOvoeGOzF3wayzyY+ oOqiIRa6GSMKAPPDBNVPsZKrkRAUAZgEKAjqKpaq0Vk94P2AP9nKjO7e1lsx YnDVAJAiKZpbseI78fKW7lF/jOJ2nHTj5e5nd+rX72b34HReWe3G6virV+tv D/YfjHXTpabHjwZ3t6Z1mdnfBHImJnrdhSXgDGmS9P+6y1QYnBW+zJqG7Ayn vLW7+sH9ZsAD94c+k0WqA6Q0Ptr2aHrg+Pj/AOvov1pgG8XuJrjksdHWkeHG 4aGGc+vZg+EmX63bZJdSNWgilDYrmpIcR0qKVdjYLq9+fr5b53TVt9Y+nRsh 8JMnp3ueL4z66n0LC1MHB7syXda97jFYgP1r+wGkmVW0NYFuP0pIv4KLq2vv q2sZuUUgXceQ0QxTTXsHAKRIPt1TWa5yZgCOqmlvI4sstxJwwUww+hPCeZQo uuonIgUM9FJLBmAA8FX13R3PlqEJ0XvYjnTeQZ3/7vRk3+Rk/8hohzs/1ZWj rmsqhuvlw9HRv+2+r6w+B+M4+DctU5jhkAEWyi0yuPJSzS55Z2d5abkVEfVC ojItLnleseng4C24qIujPwD7xt6OaCHjLg0bzKQgLBQtpPtDsoEQ9vjTSJ9Z S+6SydEsaTAHipD1p/0s9QP2A0jcYJJIb690FNQ3d0Hxib9pCvPlcPAvLFke Hb0Fn/N4zTwt7hyTzk1GsANSgj1fnWKD8pOCoZCfSrTlJzU1FpR7M4srMt99 YQlEzkqbk0pIJqDlVEAXFysEQAWoOtgl6XOV7ItbGA8Vzo8Hn71Lw/mB97Pj A5iA1eNDeaE0PVOflzY5P/UrlTD/fGV2YRnLNl6PFA2MziDHh8efPF9eP3dN B/8uri2Ck4wQoII+UWEigjP8iYIO50E6ThECdBAbH8YlxfApaAkjhEVMzTJ6 m6vBiYVxKaEcsrsKSrv2YKLv8dzEL57Pv7EcHez3DzTTk+L5GbTJ2QcDPQ1W t4qgiqJoUORkKCUKS4sVp1F4qQS9W1xWb0+2shxFmsWVkfqOfA4cPnZuVASc zExGt/WVHRyuZUFLb9Ke4UadU0BXxXJTsEI4uExmpIINMBIzCaV18Pf3wRO3 cnr6qr2/DHw2x2sQp5HFhrN2xdFgS+syZ+a6uCk48OVsDba80bG9MwveMDbV 0tJTIjNByKR3CaEMIzpiqoOXVWZFCRlh7ES5NVtqZaxurpxf6V+q2r8ssHPC 4fLG0tPni49m+ufm+kvrXYGUxFCi/AYKX15T1dTa+GOYoKevNYaWcimUd+47 dzMasiAB8gknJYHRP9XiiaGqAU58G8gBDAB24BFfAOYC0DoU4msULqhu6n/z 9gBUyfHxQUl5/rUIdnm5E8dShRIUDQ0F9XWenAI3vHrF/zaIqzZm8pLSYxPl jfXui2CDsE2Z11lX407SG74N5Puj5A6PUWVlYGTRP8VxI+gUrCw2ACv2Q0t+ COFfixSz5VJHdkqZ1wEt1cEKSzU+V05eZjBelJmlLiwxgn/NLpnZmZKTZ7V7 nHqL49sgXjxNBQgHTF7uQglZOPcnnpzCrubgjr5+exCWoCYJLaAKVWluAEjn joXXIkX/eZcl0drQTO1ZOAYcIQhgErznu0CuOj0rgQ9OmxOMVywtPjDac/4e wEawCtQkOC5QO6hSy/93MzHHC+k/fGXniaybzD9fw7J1s08GN9enny8tPZwc sucUOvOL3+zOTDzsA4gLMGnx+ShNbJqZ7q+qq55+NNnWVWF0Stq7ysqrHQP9 NYiq9rntCA5zq5l82L6x/uwv3ph/f3n7dm/0fgu0mAhD0eCn6uJ9vdUA1BPV KIIqmqyOExgpQj05u9K0uzm7ufZQa8nq7W+ZmOgTakwba+MASn0NvhcvHr95 tZhsdF6PEq9vfm0g29ly0qtXoCeH8qozyTcIEOQE4OQ3cRQwCkQmqsubWv3o OH8qMZojJGsknLRkZ1lFOB1aXAugkwAgRQgS49nJtwiUYDY0cIApNhhKwHSb mCTe3tv97BfPfWlWV+aPD/dX119kF+hyCvT1zcXn5/NvcZV8NDsByKdvoLG0 0p4BOZAnOXLUAIrS7dLC0vS2ttIvpb/NLsXW9kZrl+/h9PApbC47N8g8fvY0 SkD3Z+Bh/yJyCIf8cSktwY9KDLzgkOzPwIUkCuNFAn86LpCZcBGc7iRQA2ik q3GUspoeFMswt7By+tUJbT+rw3N7yC+++g+/5BTRNV1t7S7PKjXBIUs0oZ5k cImSrWyRnny+xJZkYTW25Sdb2GI4CrusxtbeWgrmg+B5b+yq/MzrG9mv6ar1 YwRECuLO3bNBswHUITLrklwmeJGR9CuOScFsaOkNwDmY/MWKWRF8WgQvEfwZ wiFMzE5+Zc3sHxytrJ05wH9ZIx8grZUjb2t5IBN1kY6QUw0+O5IAG7gwETxy CDshhE0iqbgpVuldKiaAAdEdeBCW1tcODt5kupNX1p5/feX/meX5wiN1Jo+g jHIUpHa0VuQXm+gpmARVdEJyLF4ZxUyBvInYKTi2GiuFo9iUGYzp2a7RySbJ RT80WMLakquE7ULvKhqz5emUiiZP93BzZXM2ICu9SwQgB2APoJ28StOr1/MA jU5PN46O13pHfAXV6eZchcRAUWdyAPZAwXEpuKknHTnlaeAXZTCHr208rGjM 0mRyXSVaVjIaoXTIGyoNMmTB1ipGEJV1Ay+mqsVpedKW/rr3H06q23pf7kIO G72DLY8WIGz+q90C2Mb1vm+858HEvY31J88WRqDM15OtodxYopIUQA8prCxq bW/5IYTb0NIAUOFymOBGNBS0fjMaClpHeADsgGGdrUi/FMrFsvVsVSZZZEK4 CDGqAEz6GKop+rs/k6V0Ir++tr7a2DbY21OLY8qjEtWNjfl1tVnuXMftOClJ mAZrXwAeE1wJF6p0hvq6LEhe++MCGRyj6mxryU5NN8Gi9OJbcdxoFokip/vh qfGSCKwMm1NgcbotUWRFAEZG4osLiizg48WlFneu1ut1NNRl0USaeJrImKkw 2uTxNDFVLBapNTaXtcpXEoJXXgljDg81l9V23IqVgJNRm0tOP84Tkbu4uLzx YvXlzs5aeIIC1AxkdosWfxfEFaotmZ6CVGs2OH84gYgI1M9PseLb8VB2IfAn jpMKquLHUH4oQdnd1xZKVIL9syqCDVDgyPVIQHfSpWVILOLrmw3iBp+ZV+/M K9x9Obn4fGxt9fH0dB8v2To/N7z7cirDlZdsch28elxeU/1wsm9va3pjdWJm phvQ0cbqZO+Qb+Hp0Ozjvr4eKGytv9eH+B09GGkZG21++wZRaftZke+v1p5/ T3n//t3T+fEHo62w9NMvi4qDl2amulq6S1R2Tkt3sbUo1ZKvzatKf7k6s7r8 ICXDNT7ePTjcCdgY1Or09EBTa8OzZ1AmC4HaJtNl7u0sHR2/+5pKOxuqOluj hYwIfiIAniAq25+JuUOg3yXR/OjYkARlTmVtIAsPWTMojFgxM1Ery670xfL+ f+re86uNZGv0/nPeT/fbvc+9z5kzeZxtbGyiyVlIIihnoRyQRBIglJDIIBAg EDknkXPOOeeczVvdbRgcZsZzzsyZeWr10mq3RLu6qrr2r/betTcDfPsGj0YA yZcifo7CAkByIEAyApEmgKAC+XRFqi7BlAaAISEntbwFiq10v2Jr60umfJWl SNvQXHzzRSPwzxgM0A0bmorj1Gw4+xtXlSwAn/kWTXK6TKnl6FKlKZkK6Lpe cKdBiklillRmDw616tJkB4d7d5V/935zzDuUgPEyDNri50IOuTWloV6hKN5M KgJOkJwlBdth0UFMqSstBJGnd15JUIgkdPgLDArLVGkyyhhS45e1zx/bLkjU lMuMQhU7CgNtW4PSj1IkSRR9jgwILCQ3KCAiotivqMJYUZcBZBldjkrLT6wo zyopSR0e78ku1iNO73cFgeRyW7k9wRXyyLoHHvY4wDxhQ5NjaBHDLszfmRwI W9agfX8fpaa1xwe/pYUlF2YNTIyubKzvHx5u7+2ubm5s3kbrutdW7z6dQz7b kHd+R7f/hOrZNz74FOvpSPw8qiGuUOCAWQ71EodiRbEC2ODdCQZU/BTrw9co D09O0sza5tbSLzeS/mcKXJ334Lq/tyVV0wN5b4WJlKqKnExTfDC8oxYv9afI UCwYgciyILoCDcYAACFaJKrGZsq0xEOBtW+VSABUAAJ19JfC++tv4OwkZ9fX B30jzcoULmCkjMK4tl7r3FLX7GJXz1BlRWNmhkUJiCivTF3dnM1QoLlxUOIS QEfcWFxCGr+zvxyK0R0bBv6XrKL4ja1h8H/FpXABDkH5TW7BDFQJEDsvLowk CX0cSHAl8BhKsictPCpVWtpo+9oDOzAxt72zEsB2MhaqLs7P/la9AJV31xur Y8ZC7cSEbWS0eWa6fX1lsGegRm9OCJdQXpOc8RJ2KEP58C0ty5zvHCz4yp74 8C3dCSX4zoH86C1AF0jdEaPN6h/pMZeU+RJknCj96dna9fX66GT/S58IGBsY jkF8eFcC5LntHiIGfz49/7OGbWykJZQuYMpSGurzCgvU+hT1E88IZbLJBc37 5g3kBY2hsZ970cMZEoA3lsL3uWuLipIzc3RR8QloaqS9P8cHxw5nM6MT5KZc FS8eJ0ygxulkRRY9wCqNQQ0QyzdcYM7XFhfr9GkyMJGWWLWZ2eoX3kyegiOL 5/Lk3IdvQQ3pOXlZXR0VMqXqv1+SJbGqi7MdY16dKqVYGKNZXl199zlF+sLC kCtG8J0jFXbKoj31ZI9PTuxsjniEisHz+hMikYAAdj4Rj9zhzapebAgpXek/ utBAkzIlqm8dyODbZ54sQJLBVDn4dERF0BT8kqqi5cXe4+PfnddjcWUrkKSY n+1eXuxbmOvZ3Ro2ZJpADwIcWl4AcjwZyO7Zma6W1lrkB1trI1NTrQvz3aZS dXQqx2iKzjIpbS2W/u6qrnZo51pfb1VnV+XJbQi+X4rU9z+99HZVASwcGWoE nwCH7hDxfkTx4YH6ju7SvsHqpcVe8MrMznb3D9asLvWvLvdJ4vRTk51VdRW8 KC1g0ZGR1iZbTUNzXW9fC56boM/Izi8u3tiGIiR8iU8v+IlQrXYl493oOGdi mDuJDrnE4DFvoPB6gQ4YhiqjwJmCBoD0EhMCVuh+XLKpvMKHzn4Z7g/9BjLM hQUxZM9QGABIr/GQwgQBJAcCxi4s4AnG+wHKw5GEDhaywGIfCYGIbG5D/v+d 7bXx0Q4kROGv1vTP2s6GtNL6+iICPwgjASIqthqUMCwl3MY7vXcAguK0tZVl muLMFu3NJ00NZOvM0gJGHPEaFwRw6DWk8Qh+jkZ74STeLMhtG9FCgDZ0w3NY SuWLMF8HyGcJ/RoxwEF2t9DX4djH/thwkQLDUKbn11oqWi+vvoh7/4yyvrkU nyrSZkdF6djCBLI2U6o0QnIqsyC+uNKgS48UJ5LGxpr1OXKqNECXHdU3YDOb k/b2fg5QcOfyBMr+0b4mXwu44tbhCoWoYlypgY/Q7sYic12n7WGwhyst4C3d 253pCWZ0Z4ovstP/vhrHhRLqRgsHo6ug9ufIlvezm33aXCe3VtGzs2PYFv2L 7Yn87eL6kkArhxPGfdbeh3JjeCJ1ewPnQ3GnYpGUu5BCLNSPHiuhxoj8WGFi XVxCTvpnq/SfL0gddnc3q6pMYOSD85OzY34SlaJAAy6iRmGSUsX4yAAU350U GcSJCWdFI1sUsaEiH4mWJlGRAbFQI4NiDBHRyWwmgOfbgA+Ac+RaekVj+tX1 7thUX1ZRkiAeR40MhDyUEknmMo2pRCXT0CDckgSQxP4AtADeANimSIPAcIIT haD4ynCZhi7XMvjxeCac+o0aiZpf6iqs1LOjQyPVVHjL5M+OcACWovSsCCgZ XAiKw3fCsZwJ+GfBIRklJheC4FEAcW5pI9OqQQk96+oLx9+H0v27RGAAg3Bl bWZpvqe0LntisnV1aWBpoXdxvnd7fXB6svuVr+C5X7g/g/zQFdrOz5Fr7HzY GEYsTZw0OtGvTs8Loik8ceJ/vCQ4ovhjk/03N+d7e3Nxydkzc8M3N1sUccLX rvgn3pDWqLDEChjmdQAXQ49hSZO+dyTH6iDj7wWYVq6vj4/2ZucXVzd2Gxst hQVJWmOSY5Bwdn4qJUOLpQGaiuDIOPIEniuajmMJoMS1+ZrysnQguXBsuUsw L4AgeebJkClFqZmKjOy4ggIo+pm1yFBs0YNflhQbvMKEVH5Ma0uxyZwmUIjB YlOlF7PEEoeAiMfu9EASO5DECSBy/68dicqPHhmqn53uIXLjXvsLDo+gTRbn F5fn56dLC8OfdBySZPg0LTfvTSDPGcV/5gmwh6bQFIDvsvLzv3pFFMclu6AF AISeejKferLuAsP+5EJ7E8DlR2tf+XHAFVxELE+hAajpg5Ni6Ao/vCIpKyE+ S7q+CvXI8tLA6ek+8j/+eocCGZdlqd/dg0SwR5giPTcXoNH8XPfKUt/UZAdH rh4ba99aH6xrrGptrwP4NDDQAuhobrZzeLSxpqUoMVMcl8Z3p9tjhV4JOl6M lq3Jiqyuyx7sqS2wavMqP55Ddnc3traW71rjDxmTf2HZ2d3s7q6enemYGGtB WMhaYmxpLGxpKmxsyDeZExFlGviqwKrrH6geGKydnGhZWewDL87ifM/4eHt6 rhkAbW9fc0lF6eba4PhY++CQDXApuJJoyG5urWlpqzeYKiZmoEb7ldkY+eLy 8sqHKH/gTnIkYj3opKAIPhTaCLH1EFH2YViyQg64yD48+FVoiDMF85YWmlVa 5k1jvsRBgAS71IZ4UzgvgiEN0msgL+jhkHEEh34VggVfgXW0F4NYVFd9dHJU 3Fh1dnF+8zt78f4bAd6R7e3Vs/d+Sn/kYACyu7axCA7KxInXcUvKUjJy4pQa zp3W6KPcKFC4yBKDSs+32Ur297c+utUN5Ni85kjEPEZ7BXJpTiTsa0Lgc3+K D43zhhiIOCY5kIKfoYOUKflYCcsOymh/S0e3QQDsQ7F26FAnAs6XKKdJDBSR 7g983t9VkFE0OTe8tDbf0F5eWm8GIq+2KS9az5yZ7tzdmmq1WYrL0pcX+0dH mysa8sGqf2t3fWS4o72jGrnB3a2QxplcnHwW4vQsxA/yIMIFOFMCYVIK9I7w folzpCsl5xfnOBnveajvWxqUWAQlCPdi+zuR/WCf7aB7ChzIC+g10UmWqgB/ cv0OMXGCOfPq/PwM8WebmOgbH+87PIC0fJPzo0YzFPatpaUMXP/NB0eUXSMz k/a4u//05yxvt8a+wLd0Hzj4QPBbKtaR9AHCvQj1dyQEuVNDXoQF2nrbYRvp 32USgzB+ZiQvXz3QDwVhaB1o8qC/woq8g/juOKk/OzYMJXAPl/ixokJZUSHg YCrC6PKgiqbMw6P59EIlrC1EA9qJ1rM5sWFIErTckqTNrZGpua6eoXKS2BfJ O4O4cwOqIUsCwQGYB3FGAmwDqR9FfkwFWpCAT0wTAOhKMSvXN+eikyPAOQI/ 4CapBTFrG4PgJpIkykcucAwFWqFlAGoCxKXNiVlam3AIZz3wo/owCT4M3nde OFacprO72oflaDAnpJqU5c2Wm78ofsiHBRoGB8eHnf0NC3NdYG5fXoQSviN0 tLE6kGcp1GdmA9kNhL42PQ06QfMfuzOBBE9MyTk8XMwpKl1cGTs9W5pbGo5U p37lEm6PYXYOgDG2D7u+b1xdbywsj2H58ocBRJdwzvBwaxBFLo1PjtGkUoUJ 2fn5LR3QK/DRgBwZ6WhpMtc0tfjipfNzQ7XVWSxxVDBVII3jyhO4GqPIkBZr ylXlmZMsRclFlmRzvq6txdLZVmJI1ZjNmrw8yDHpzgAHeytpLEWpQSSJpSij u72QEKEIpogN6VJ8BMsXLwxjKgCrfP2GFkSW4lgyJxTfUpS5ON9/dXWFi0jS Z0MLnw8SyX3UiHDlD/ZX/QgSgDrPPZlseVpTx1D34NTc/LgbVhDOjk3PM38N OxchaISYGmE7I0meaIhWp/zXc/xPLkxeXJQvQfS9I1UcpwdANTjYaq3NGBpp WlseXIQ6pWt7a/by4hRZ2v9KpwLcDKLGeYUrNjfmSqqbvcMlSM8CCgLdWtNQ 2dXduL4ysLbcv7YyAAR3Z3cDuA4mT4UxQqGJoEVjQVeHisGk5y6MJ0WrWT4R jmESX4mGRo1CRyazcyvTzs5Pt7bXwFpvbWMZMENjg3lyoufir3Pf/TcLMmmD k/39HV1apDFDDqmP4HBP9XW5lZWZHa0lthYL+NSnRpZWpA70Vo2OtJlLU3Mt KqWeW9OYu7MxujDfPT3VBZgTdNbERAd4oUCrAigFb9Pqcn9HZwOgU/BPwE7b G8OsyMSCspaTs8vr31LCARGAYSR+50iGovCRCB4k9isoTdjdBisUHNkYUm5A UQ2hdKLoSF2qM44EJP49y0iwfTikOHoVBuVSRzZwPQ8KIcdIfLnE54GEupah 9a29wdF5pD0+aZyfL35Wc3h0fDAxNVRZl59hilcnC6vqC5Cf/aEdBC2o84sN +VZDUjK/uanAmKEApPRLeXVVyYI4TURGTmxvT01vT/Xm5tLPTQq/zopULRCO 2RVFRTVNr3CBdliMYzDPg4FHRC3ggadYH5pcmVtZBr51pYbah0GAdM8hB/Uq FONICHlLIjnhCF+9IsTqLKrUkuX3PjN/1KP/viZCyt7BTnWL9eTkYG1t+uzs 6OBga3ysaW5+bHtrsdVWDGa2quaijW0oKMTBIZTwEYm7Mj2/Ut3ce9c+KlN6 sJCcU5kvSVY/xri8JgDeBnThKUoWzSzNgh90DPU9D/VxpXm40jylBpU/lwA4 ypWKRIa8U+agXKm+bgzvAH5wqAyXW5X3fn/W9rrVmlpba+7raykuNuaY4ju7 IfOuJlNeUJoyONAK5u2ry0tQydOz48887W1BVF65VaXPQnwdSaB6KMRt7CM3 ezeGJ6iVEwnzkcXwNaxT8qSHPg/xUxgTU0wJluovNCX/54pQywDEUlWdu7u9 0dhdEyRwR/HcMCIvMD8jSdjpUSi+EkuXY19iaCg2kakILq5Jubpab2gvYCow gHAE8URRAokmCwYQJYgnTM7a6tvMYhVVrKJ86NIPOWmD/wuQDEHkCyhalEgy mqPrWvO6B2tPTjdbuyu4cbj9w435paG7mBLgE8plUxCbW5pEi0Tx43AR0aHC BCLiH86EvZUS0wXgnwwF5uhosr6j/p/uIS+x9BdoKN3tkyBimCgSy6eESDzB BIIVetZ0QLGA/iaAdHx6PDZhW13qR9AIOeZmu3Y2h1jSJCJPCYDhdQAXRVEA gS5LNAJMeuhG/94DL9Ul7+3Ptve0r21OgqkLDPmi2go/hkiRbIQZaevdu42t 3ekoYwozNhG0ww8++GhDMrinOiXTUmpVpeScH43DNtCf64Psp7m4ODg6WusZ nAhjyqcmehobLHY+Ed+8oXiFsSWxnPTM6OKi5PfwY1anZcTm5CYUFupTs1KS klVmc1JeXlK2KR5Bo/zbXfzNjQUV5en5+WpzvobKj03L0hrSRVwZq7YmQ6WH 8n1870QJowtLS4y25qKujlJQsf2DMzQ9Ho5s+WsyDGGn2pY+P4KULIj/f3Y4 P2K0PrsigBwVoza+8GYPDLbworRf2ZOewoD0kwsNRVW89I34wZlq789pstW8 9uegqFHcKJUPC/0VEGOMGEtZcXJmzubawMx0B8SrCz1wv/QtzHYe7K/d9d3n OxWuqjAu63/9hI7RGLa3ZkqraxfmupGeXZjv2VwbBPJ6bqa7pbV2Z2OovLos Wp26tT6wvjLc3GHBSwOoCnSw0ANKMi7yDJX4CmIJJFkQJQYdAhhJz+jpr6JE Be8fH3T1NenTZPp0uTZF0tSYDxi1u7PyCJ5v/1bTy5eXs7PTVFgpkZMXPzzY 3NlR3t5qbWzMh9AI8leHjGtp2dFA7FbXmjY2ltRGSW6BKjVb0dPfPDXVv77S NzTc2tnVABo5I888N9sN0GhkpBWQEmj5tZV+gKngCmCkmemu8bH2ts6W7r6+ L3HagWKuulCdiKF2WOwDV/qrkJCP/D2gAw/vT4dURoHkyBhnHPk+IL3BQ0QE OZAQKPFZqZ4M8qtw1CN3qluYwJOJf+JFDiTHCeKypImQf90XBiJAqPLi4gyM hLmFCUNmFMAVpZajNgjTsmMP/oSRACT75dVlrkVfUZW9ND+am6+CNEjJn9Eg 3R11dbk9nRW25sLuzorz2x3lyN0khqSmHii0eFvvyJNA9FNv6ls8E5GwoCUB Qz5F+2cW1ZCihV4sImjYl1CzQxsAP3BGwkO5xp75Ex+9ZdpjCT5EKZJa+i95 AxAi/Wyb7++tXl4cX1xcNDWVHL8PgP++IN4Cp6fn7qGQG8DWDqSmnphZRpJl g7KxsxUqZYfLaG8IQa9wvlwt/054xWYafSLQ3hFeNCXTjY55gHIFpPEatv/e G5xo2NQL2eYCuJST09OT06PN7bXy8qzc3EQTYJKiZI1BaOupnZwZTsuIgqKs pEf1dDfUt1dIkqjbu5vgia5+IXUsUpPMUstjtLcD0f8N0c+BGODJDHcgYu2h EKm3vmRExGb6OWdysLjABwNGCuIQHgd7aPNzfqkN//MFtjBelzTkv6XZhYt9 DRmKxdnxgfFuvCwQrGGxIm+MyCOA6+NGDvWi4gPYQc5E9DeeeB86FTBSbqn6 5uZkfNrGjgbEgubEhiSmC8FnlC5iZqFvcWV4fKZToqJCqqF4gjABylHCUmAA w8i0dFNJUltvyexix97+5Ob2RM9Qg1gt0eUoGQq0tcYI6gVYiCQJAORzpyOK M3IE8Xh2NJYhD1amcKVJVCS8APhNe29JrCECL/TNsSZeXq7Ut5cm5eQ8CiDe pmGiPgeYhEJHqiXJpmggZXb3f0dc+j+/vFtdHoQFaB+sO+rZWBmqsxX2DdaQ +QmBFPmbQB4S4/oHJ2pDc02SMfNbR4p9UMTTIDKKK13fmppbGpmaGwREBBjp 9BQs0zZ7hjumF4aurzebu5u+dg97HEB6FEAiSaOBXGZKVFFJKQc7Qzs7y3t7 a9dXn4k1h7TM5uZqeUX2wvx4R2uxIc3w3Iv9vTMtmMICS/i7LWxFFj1YhjQ0 mOTx6tf+PJpQrEuRgllRbRCbzRALmW938ZeWpoKT1PTYIquhr7siLTs+jMlA U3nV1fnuWMHDtwwffGRLW8P6ytDkZN/YWM/ERN/KyvzZ2W8nXkdM5NHaAhIv DkWJdcPKv3Ug/dcLHJqmCCDKFCrj8EgrEmcbCRhl78ch8ZUAnP5pT9Kk5RRY rf/7Ga67p9lSkfOK8MaXhSmvKV1f7QPyFNHpATpavAXXxfnuzfWpXx050JfH J6doekK0OqWlrW5+rnt+rm9+thvpXNAFQDojGkKOXF1aUXqwM8KQJLR31K+v DrR3lxHkqADeW0BHQTw3N7q9KltSZ8uLTxPmW7VtHdbtdUhP0tJbewX7uU7P jurTFSmZUbeBkkoODv71RGN/VYE8Lva2oOy0uxt5BaqMnFhzobqnsxx5ojvv I/AJDkOGXB5PLa/JW9tYiklipWTKMk0KjjzBIUgwMNCSU5Df3Fo7Pd0JBvna MtSDSn362Gj7KnwO2UkXIToCjLQw1zM/29XZ3XhwiDgj/Vr9OvvG62wDrmS8 HSYECGIASEBUfeyMioPEOuQ2gwsIYvOdPgYkcGDswgN8yEIgaoiS2GdYvyee jMceFPvw4J9cKY5BQl9CVJYFWsX/EiABwCguz1hdXzw+2rszWoGKl1Zlg5dO mypV6QUJOn5qVtTu7sbNnzMMrq+vegdsl5cXy0uTqo9URoitTce7286WlCy0 FOvr6kywX71laXH8tsoflPT82q9eEl/4sJ1JYTD8oB0IWEBHflRxWnGxL4eC EoDVLuZ1eMgrXIA/l/qWGv4zIxFRYE0DOsUukPIgyDOjEM5P99cvfj8Iqvn+ yr2v7q4j5tE6W3+srtDOh/PNayJYW03NrYRFqEKYiZUNPT2Dk8PjcwC9Ts9O +FrBsxBPf27Y+vYach/Aq0cnx3nVZgeykzZfV1hXKNJHOZL8nMjI2EM5kVDO FHAS6M0OJcfQukf7wR82dVYpNKzSkjRkci4s0JoK1MvrC0XFBrC8LS9La24u slRmshVYU0ny4cFuTY15Y+Pz9mjkWcCK2liUTYwmYsQUPy5pYWUhTERzpgQ5 kgOhyAz4D1YTrz96cWBDmy8L9zzEP0TKPTn7HcF4/2Olur0MK/YJ5L0VKYlN jcVDI118Dc0fMJIYTNQ+z1DUx4GMp0EkjABPj1akWorWt8b6R5vZyriJuVFd XrpTGCY4Ai9SsQurTEoju6Ix++bmaGtn2NZdkmxSCOMJAGNgm1poXplma2d0 YsbW1msF57FGrlRNlWnoqfnyyibTwGj76enR6dkhICtE6cSLCxfAfy7X0uEI AFiAScm5cshJOzaMKPYvqNT3j1STJZCP09JKb2NHoTZbcHyyaOttjdQZfvDB 2WFodmjqUxSFHcUPl3hLNIzuzjrkqe8U+39tOTraWobsL92IhgEIwawSbaRW /tKH542TvPLjwInSoGiHNQ2VyZkmINxf+XLHpvpj0zJeYuhDkz27+3MTcwOX l2tw3rp1QErrW5OXl6ubO3P0qIRvPcPtMHSHMFZRVXGETJOQnHV1sXd+fvpL 9UGaBYjatjZI1XZ8tD051pJXkBVAEkQqOQl6XrYJyjNbWKiHwtR0lwPpXFqe DpaTutRIMD+nZMjM+YnFRfqyEugA72BentqUq4J1StrmpsKOtuLMbM1zTxaF H5drzvzWgeKCFtAlumC6iibWumGFPIXK1lK8vPxFoXFvbnebatILAhnUhAzD c28oCCRFEP+9E9WYmV3fWP2dExWJD/nUm/TKjx7GknqEip1QwuWlobScDIVK t7M5GkTjulN8ArkYcjR+eKRxZakfsYuBz9Vl2AdpsX9loXdjbfzXvFYQttze +792eE1a9vH++OxMN+hZQERb60ODgy3V9RX9Ay3dPY372yM1DVX4iLjDnVFL qYUfo15e7AwR+6JF7qES7wDu25T8WEN+NCUaXdOYAwgtOy8+Th1RWpHabCvo G4ayiVkrsjq6arq6akpKjU0N5v4B238+tPK/WZDm2t/btDUXDg+1jE30tdqK Cou01TXZn8bGRHb3A3xSathV9fkzM0MZOTEoMssNwwLr7m8cyKHMaB+cpK+v uajMGs6OBVAEuFSeaJgYb19dQozXPX39rVNTg+Pj7aD99Rk5D98yV9Z/AymR r46Ozpzw+Bdo7GM31kss9i0t3AEX8ioU3mcNDuL7vBhgqrfHB/izuI7hxNef QNSr8EBHDGtyetWXKnwRGvjIg/7Yg/7MlwRWQM+9I/5pTwCo8O7nYKQfG9rA YrZ/qF2fLq+oyurqKN9Ym1tcGN/ZXt3ZXrEUaRLg1H6AScA4Ka/OPTs//fIt Qf+CPJqbG84yxSEspDZCsb7BeUqGorw8/b5OCVRGkyJGtH/dHRXHJx+4moP/ 9+j41D1U+r0j9TWa4kBCvQYynRD2EkV87EUqr+umxklYCQpnUqg9lgAL0yBd bqErgQ4aGVGSgD95FoB74Mp4FYZyJRF29yF70Bfu9P/LC9LRXQMTD6D8Hcxn XmywVASzvXOwCIyH7x0p37whgrHxnQO5oqH7BrLc7Za31LYPQpBzv8uOT4+n l2ZuoA1lfRhJiBvDzYUaCHNm8Cuc3xPMW282dmNn493Ne24cmexjyIN1aZFI ODtTbmJpaUZ5ZU5enspabCws0QOpTYNzpqTmxY6NNE2Md/xKiyJ6s/OLs/Wd 9caezoHJib3d9aHRbr4m/inWz4Me6sMMRbyykSOET4BMzB++GuDFeYrxbun5 A/Ik/jsFecvuX0H+ubyxqMyMZMSF+0Y4hYt9MkzK4aF2RQo/gOsCFrNuFIwd hvoogBTAjjw+WQAd0jvSHSKM+smPCNjDCc95FEB/GkR9HYZS5wA0Ory8BDIa kr9j033CBBID3u0oSaLEp/IS0wVQgAgooW2wMJEo1zEA7fQNV11d3nmZns0v 9QAKAh3EioLCR/DgkN23YQRQupzI6GQ2XR4Mbe2PwkzPtydliAgiv8Q0wdnZ okJLZUQxOwc7b24OxBo9AkiwKonmx/YPEriKEiiJaZK9o93/dNP/ajnYW93c mASLXEjJsDSQZdV4kigPXKFMtUgSDfD5owst11IIZv43weyHXhRenO7qcrOi ufZ1KKO0sergaHF6YegE1iC9u16DPt+tQR6v+/OsWNV3XjgMVxomkr9BceN1 UEjee7vkf7FAtvLGnpPTi92tucH+Wq1RI1NGZuXEm81qMBOmZkaVlKWkZCTl 5ulYIqE0jiWIYvviGf54TnJKojEtURQVjaVK6EJRnlkFZ6HVWK3G3q7yvHxj ZKxIGM0jciTOKD6cSYT12p8dTBExhJH1tvb9gyOkAl84zyGR1ta2VtFCd4ww 4KUv196P44uP/M6RVFmTm5SS+fUbMhLdCEhSrzB2fVOZE4ofyo4tLi/QpUr7 +uoS9JmvgkJe+bHsgrExadLN1ZHZmc6Jybb5ue7xCVt9q2V1CUjbzqHhujk4 dcKvC5TLyyuF2tTaVrO82DM12QlYCwjo7p6m4eE2Y3ZeX39zRU05kNeb64MM abyl1Lq3NRwujJZqI4VJvBcYlA8LCgqtMLKnplq7+yridBEZuXFNjQUpmVFK DbSlWmMQ1jQUNrZY0zIVXe2ltpaijraS+gbz+NTg9W0up/8R5b07xNZym60I HLZmC4CilubCD2NjWu/CQIGvGhvMpnyVNkXa1V7W2mIJZ3E8QhmuaNZzL9Z3 jlDk+bGxNhI/3hUtXFnqm57qFMXqwCegXHDMTncGkqMnpkbziwu5Cu1bjIAu TflNExv4Egiyo+NzDyL3RSABMNULVKgvg+mIwwFSehkS8hqHuRe3B9ra5kNn OYQR7gDpLmXGq/Ag8PKarTb7IJoDAW3nG/HQlf7QlQEko0OQAABSdTPkE3h+ /oHh+35bHR7tj473GDKjs3OVNdXZ4B1Mz4kF6/2G+rzKqkxtqjRew00yiOTx lEZb2c1vk8/HDPYlpITIr5OTA9ApSckCS0lKVl6CCtq2hiRPzEu8HxApGdIn l5SmALi1NRfs7qzf1QrBg9nFNWe0+MFbqgM+5A0B5UgOdsWx/vfT8KTUspb+ jlAJh6uOwQiEbhTyE4w3PV6mSS//wQPlRLmLlRTkGE5ywTEACXiReInGkqXb JKq/+SB/eUFaYGJm6bEH6zZ0G+MuwB2YssAB5kYwMOKSLb/kU3b3pODd7xjq SC40hMnCX+Fdnclou1B/sT6xtKm+c3gAdBpifATdB2Am1sjnx+LAOhcQUW21 qawsVZJATjIIM3OVgngCGQ48SI0MqmvOXVseWFuf39tbO/vlLSqfblE8Oj31 YOCfYn3FSlZEFP1leJAjEW0XHhQmJIYLiS9xKIcP6ehFaAA7lnd5cXoNe9j9 se38e8uHej9IXQAAiRKNiTRwRFoGRuiFEXoqk3lxBr4f1wUr9gzk+bzEEl+g qU+DyBieTJebm5ST/Z1XOKCmh/40bwaBHMVzwgnfhIdQosObe5rPz89mFqZq bWV8JYEuQyEe2oilDMk8IkwgSFRkCH6UOIBPgH+UKbyKxszCSp0uW7Ky1q/O FCekikSJxFRzDBI3EhxMBQb8SVZRPLgP4rmtz5X1jVSDfmQpMDIdM7dMTZdj nqMIHlT+6dkSO071oy/BDg0B0jMU1QEXGiL2kybRQiS+SLLayanBw8O9983w VxZkurja211eXx2dm+lkSlUvvCN88VI4e/J7QPrBmZpdUBBAlEUoVK/QjG88 wrAC+c7+/PzKWG6Z1VpfeXg8v7Q6dnSyCKX3vV6/ebcOk9LWzc16fXtTd3/b 9vqwpazC1tH+JX4XsP72iiVL8cbJJUp9gSU7NSNZZ4gvLTFkZMfFQb4HXGkc RxzDFihE9r4RbwLYhvS4krKMIHLkA1eanQ/LJZgZTGXK44WFhe/dts35mrLy NI0xkiZkBVPYPzpTHYN48RpNTq7RWpxitSZXlhubm8zra6PI3rTf1Yhn52fU WJRzKOaZN9E9jPPUk4Ohc6NVQtCAj90hFRw4eerBcA5me4RIH3uSCTyGPD6C E8l96RPxwA3/KoDwyI31wJ2gy4tZWuyene2ame1ZXx7IK08pq8/dXBtf35gd nx3euxfR5VfL+eBwd3VjsyzBWF1XcbQ7yopUyxNThkc6+ge76horW9vrD3bG ymosoWzF4faYITfTg8wZGm4rr61A87gelEB5Mndutmt5vg9IlkyTEvIyshUD 6dPaUgTOzQVJzU2F9fV54Fsgp/IKk0rLUlR6/tIKonb7600MX1KQZlxenmoG T9dqLS1LtZYYkE39H+3rf69BaoYeNjdfVVikgzL2thZXVaVn5cr4CgGOzXVG MR+5scfHOoJpChRFsbE6MD7WHiFTz8/1LC32A16anOh47c+fW5gxZOX/f9+i IhTpSDz23wAk+PP84pLI0+oyK1zQYjxX60MWvCVSXmFDoM3m9wEJj7YnBHrR WG9CCW8QB4z3vknvtxS98KPpM6s8CXxilMBc1vwjFMeVbufL4cVkeuOidna3 p6YGenubbbbyo6ODu3ohNby8vCgsSTWZVX19TTn5aqWWk6DjASxJ0IFVDzc1 K6qsIs2YoYAvciyl6b/R+PCTTU8Pmgq1gKZ+lrOQ2+2vjR/kl/OzwxUVaSlZ MbbWUn1aJJxCN6a3q8qUn6jURCTqeYjFDdQNctU2xQ321Q8NNB0d7n5oYII+ 2fL0H9xDnCloAJA+bIojSvA6gD+/tIFX8CtaGgenxi211fZ41LMQ3yIoRHni k6BASAURFgplAQ4LwIkV3izSqzDIUvnAlb72xVFA/w4FmeUUavPXrwl3G2zv DrBAfviW9tyHjTwUKEur8zpT7Mb26shw5+rq+7CKHzntzy7PplpT3hB9HqM9 DRawBLjZ3jn0CI208+GMTUPx3Da31wEFRWmYCXp+Zr6yqMKgyZQgoZ6RdGBw uG9UUrqop78yPoVfZE0ZHwN9tw3f/vMNi9QBQBriFLq5s/UyLECVk2Iq0DhD LwIUEMyLEapQRUCOZB8a3SB2CvMXqaMOj3/NIfyPKneWo3f3CuJtvne4O7kw 9tFjvp+mNhdJUWhWAoGTQMRFBoRJfJnRodCuf6F7AMf3JZb0PJgCSOOBH/EH b9yjANIzFM2NwnAlhT0JCqPF4olyot5cllVixPLdopN5cl1ElI7Fgg1hyP41 AEIQIMmCAefw4nAQ8MCRtRBPbNAdtMigHGvi2HTr3v5Eskm+vjnSP1IzszDI igJwBe1lAyCUVhATn8oDP+bGheNFviWN6SnmaDLsrYQV+lBlAUFswsMAaiAH g5NEghq+QFNgOqK9xJIfBRKpkXR2bEgQ331+eQbMNvn5ms3N39jq+x8u19eX u7sbkIrVK0KmygZQ5IOXITlYf3KhxelT7f050UmpLInqgSfFBR8xOdcPe2gf TM4PVjbX7OzNnZ2vADR6f9xsgM/r643T01Wwbjg5XD/Ym7u6QFwEfwuQbn+i zSz7f3bEl74RKZlp2pRkuTKmyKI1pEXGacTOway3GBZDxKbwFeUVZpM5O06j R5El3zlC2/ajErnyBJ7GKDTlKfPMatDaubmqBB0/KZnvTwB0xPQnCNIytXW1 mQC6ykpTSqz64iJ9U5MVLFV+V48MjbTNL0Kxta2N+Z40l0CO16sA4k8uLJ6c RxXRv3WkuaJZzzyhDLYAkB6Dw43mjCXFabkYKveZN/mxO/VVIOmpJ+2BK8M+ kIrmhpVVl0xOdK1vbPQNNzZ21R0f75ycfBzx+DfLydnF/uGJNrMiJbcqt6i4 pNL63DtidLTjYH9tdKQjOz9/f2uktLb4R298TWNVQ5MZzyP7MbjphXkz090W q1GVLGputbS3WTvbSns6KxBCAOcdbSXgE1AEgCUEITrbSqylRrD6A0LK1lHz hXqAv0NBBPHq6oylWJuULIhVs8trTB1tpeZCNcC/5qaCjg8DRYLnBQ+eb9E2 NpobG8yQV1KrFUhnQ4ZcnyaWKTkoMlg9qEFHkwXxWxtDg0M2piRxeqp7YX5k baWvt6/ZKyzy9OxifGrpm9eEgdHZmy/OTAFadHv34ODoBMOIV6WWsOWpEYq0 RwEoe2w4tPeceOunDZ0HuZDwr0PDEA0StLvtdnM6EOgP3ImRiXnhHNXS2srY 1CLiHeeCFs2BKk7On52dNjVaS0vTi4r0oyPNG+tTuzuLiOUU9Onk1ECiDspU a0iXNTVZUrNjkZiNiK5GqeGojSJzocaYAfnta43ismrT+fugAZ9b9UPhyg/z CjXyeKqlxHhxcXZ4tL9/8F61fnV9dZsf5LPt825hbjgrN76qLr+8KivJIDJk RPX01LW2lmhTIwEgAVjSp8thaorVp8nSsqLLq3MWlqY/uAXc8vPLG3benJch UBQdFyoGxZayZWm7e0c17S0h4ohL2EmSkxTzU6B7WCSvrqUfNKADCWUXHP7A K/Q1McCZQMDwhK8JAa44xj9eEpSGopu/hw/SFxYEJywVtq9fE++22d4dUGgX J6ZHSPTe/ikYBls7G3IdWxxPamgsNpuT6usLP7ob4BMkRePyxhJaFObNJm7s bVxeXQuVWf/9EgcWpGD02rpGLy7Pq2rzi6wGdZqYEhlEl0OhLJFN5XehBYG0 razPBODEj8H19VSurY5/Yasik8/47KREF7e0PC1K4DqTQwARgdWBLJGN5RO8 GaFuVCzCSHB8S8gUCMe8CgoWMhdWf0c49H+nfHaSjEoVvqU87xnpQPTGd9fB s6+tLkzOjpCjMGESP2oUligLIstRJBkKJw0Ikbi7UdBPg+gvgql2aJodBoAH 7RmK+gJNj01P5iSKmEqGLj9GamA1d9W0dNXMLfVfXG4tLPdyYsMBvdCguEb4 SDU1zsjRm2SabIkyhctX4u4nOAY9AvA10xKfYYnvGqi4vtq+uoLsdDt7W6JE MiArVnSIKJFkqUyGYiXBu+EIUv/hqcb8Ci20k04RTJYF8eJCgyPw3vRQdyrq Jz8SbFmDAMmVhPVl+wVxA6VJNGhfnsBzZLJvaKg9IyN6dLT7l9rqP1+QWlxe vXPFSFzQkoJy2zdvSGHsBHs/LpSJzI3xIpD+yJfiHiq0lFXaeXNfBbKLayvO L1avrlZvbnZOz5ZW18evr27p6N3G5cUKbHTbm18eZit1q/Ay5Opzjtm/VJCB Wlrd/L0T6QcnujxBQ4iICmOIamtzbC0WcUwsHHaA+tKH7RUmfOzO+D/P8d86 UICEeuTOJHB4ikQuVcCJkHJVBn5GVmyOKSEeWt7yjRmqyqqcthZzR2tBY0Ne RUVGTq4uPSetsbXj9zQXvA3w+DiYQjcVphwfbxXVZBMUviQp/wcn6kNXJjuS 5U8N/86B4YNjAZaDU64wANEJorieoSxATU896c4hYU88aOC41WzTAZTGqFP1 GXlrm/snZ6fXP692EfL4V4ZK98D41FTPE3c6U5Jwdryyv7tcVGqpbarq7Kn7 1isczZVOTLQXl+ikSoY3iRLAErd11Xd2WoF8yclPqK7JgmNKf8bkdOe93N1R XltrAoKprCrnX6jeX1uuri4npgbqmq3qFPHM3GhJZVZRaVp7W2l1dRYSKPKD p24tsTVDMZH0qZF5BUnpObEAqwAgIT4wyekCFIX5X8+J/GjN3tZwa3udIFrT 3tW8srq8szlc21AhSYDaB4jdXGsTEBy/970H8+TC8kZ1Uy9daozRWb7z8nt1 C0hg/nehhHoxSYgsgGP0hcD5wjD2YViEoMDFJ14UhjQ1jK26gVItH4H3milL sVZWrC737mxNQcH5TvenJ9vGRpsnx23LCz0Ls50AmHd34djp7657+hoA/KiN YrVBCE4+8pGGtEl6XnZuvC5FmpETl21OtFZkgeb9dNAiaDo20R+TBKVITsmM Sjcpodxq2XGdvY0NLWXmouTegdbPNsKto90qgJ+pmaHkNFmcmtVsKzk7OSyp SAfdodLzC0tSAbgCdjo83Bsd7dIYRdGJjIGh1sXFqfWNpaOj/Zvbiai6qf8f jkEuVOwrXFCoNMIzXFbbAvnY0JXyClsjOOkeGbQLC3yC9q7tsMVoi/75JsyR iH3gRqJK1T5ssjuJ7kIOBSQQzOc89gmfnFmBRdv/AEBCmjHVXC2IzXwTCOVR umdfY8BZCRiO2DBXHEaoipyYG23rqaNIobRf6dmxBflaAEhVVaajo4NP95ch dz45O9nY3urom5CrzT84UZ54sJ56sAAmoajxyiwZRY4e7Ku1VqVAFpxorDCB KFVRACkx4QCDQOBKk6hGkwJyZYkJbWwt2N6YOD3Zg4fNF74z0M8q68zVjcWU mMiXYX7MKKbaIODGMMgSIlhKOMGxUkF17ML8X8LJ5hxJkB4p0ZT+Z0f73NnZ OD8/G5sbSchW7B5szy5PTS6M1bSXZZYZSPLggpqcoal++IfXN+/2b6PyXrfY yqoqsooqMgJ5b0PEPgCQiPIgenQIPjIAK/Lyj/B7iSE/R9GQfWF2aKp9KPlb r1DHcF5tW+vgJJRqp3e0c/8IWWgfwj5IV+ay5LSCmIJyXY5VlWlRJmWKpEkU 0BcAaaDIk7Dd7Q6Q2HASEwBU6sxIdaZiZr798upiZmGSH08QJhIJQp9sa6I6 U0yNRDGjsXipf7DAQ6Knt/WXSNVUsjQw4n3ESHArjBOO8AzFeIklOeDCPWjB IWJ3jMiTHRtGi8IE8d1QAveCivRii8Gcry4vzwLv7M2fGYf2ywsyKM7Ozl8H 8LzC5XWt/f+0J5AFGjw3CYzwx25QiGmApj/6ENxJYhRT8cCb4EsV39ysv3u3 cQ0x0sZ7ByTYuAYuHh4vClTawXEAgWdRxpzXocyGzv6rX4uN+mmVEHXESUaO wSGA+Z0j9RW0QR6KWdTYYBnoKdGnqOTKeDIv5us3lCfuTLIg0SGQA37Jlsb6 E4RPPejfvKH54ZlRiZy0TGVxkc6cn1hoSWq1FTY2WrJM6ZIYJZYmcAyMAOjy kwsjjJ14fn7+hXVDpsHmjq5v3xDQNB6Jx/cl4LW5Gs+w2O+dKE89mOK4iEAS 4ztHRhCZ7YpG9vgzaEIOV8556Qdddwqm2weSH7hCocXBV7dqbcjon5hivd8I v6sff/7De34dR0fH6vTSAHKMrWsQTOE9Pa1OGA5OpCBKo7/zwvkwRDlFWdl5 McmpgnAAlXGKzdWBqYnWbHM8kPv19Xmfdcu5B0tl46NtbW3Wvt6a2emB09Oj f6faf1UxFyePTvRt7axvbq1kmRNrYFftj560rdXa1V5WV5sD6Uy0nPvpLeK1 PEOGOJTB/edrUozGcHow0dBcK4rR7u3OX15e7WyOlFQUR2uh8KH/WsvAFgTo D0cmFvA8jSajzAHDdsQy7cOh2EcvwwM9mXipIckuLAAAkk8Eia2Keh7i9waH tQ+FAAny38ah3MOF4Wy1LyF6Y3N9fmHmhQ+nuXNcZcwa6K9dWuhZXuxfXByd nupcvbdHoKmpIL9AU9dQtLm1dn561NRiBQ8OYCbpk/31iBZRqeVqjOJ4LSev SD8xPfTpzIa4VQAZUVKRDZMVH7HKJcAb0OI1EfpUSX6xobrBUl6Tt7e//amH CfisbSyqa7IC6Tw5M1xVZ97ZWTu/OE8zKY0Z8uz8pMnpwcrK9C049tHc7EBD Q57NZt1cH5kYtzXUFwwPd97cTneLK1tCVTIxWggQqLSpvq6l/+j4BPyP69tb SFBxkT7xhwA3UrR4c3vvtb/wRQDxWVBIY9vw8Pj867AQJ2IYkLb+XOorXGBR Xd3N/yj10cnpmUOQ4Ednyn3dEeIqiWzMCeJ64+QeLtRnvHiSuUATpWElp8vy 8tWIxwK0Aa1Q193d8Omd77pMmmgCs9nP6Snfst+GEwJ5zqFi34GB2vLqdEE8 ARypudGAheQahkxNQ6RzQgqfr8QjSU6jdSxTcVJuiebmHQJjX6h0fXd0tNc7 NhQmjegf7QXAHJvENqZJog2xYCnhCKWYwQRGhAuTIgliMjiHgonhUUJtwp8x b723o8Hb9kurc6LUrKJak8zAxcuDcJH+OGmAII5AkgaK4kltHTUHB1vHR/P1 zeaB4eq0nFjw3iE3GR3uTEwWIgmysSJvXGRAuMSPqyRQo1Cu5MCnKDrizPM4 kPgMReQo42NSs772wL4Ips0srt8zYUM5RN+9u9rcmcgqjk9MF8g0NERlR5MF M2735sP5SlCwJzaWCW3/RyOYBDoFAE9xtQEOdXhjyEsorExZ3Zho6ii31qZy 43ACJZ6rxAfxoRhNfhwXRhy4WyhdgYYMeVDAJfBPrDcV9yiA7k5FY8XuwQLP ULEPHrB3TChW7B3Ic+WqKMVl6czoEDDt5JoS+uGF0t9Bmrwn/9Mz8L54hstb OofB2ObHZo5MTAE0gvZhuTGe+dMfBhAN+bmgfSqaa1zwnGpb3c3N/rvrdQSN bo1rWzfQdrat2aURX4ZAlwcFjusYGA3iKFY3fl+Ug6ur68a2oe3tJZ5c+a0D Bd4OBpGSazDXnJ/e3VlUXZVRU5WRoNOB6oEFYF1Lm81WnGvWvcUIHrox3bEC fISMI5Vpk5XGtERFfBxTpPAKE77wZoFF0z9ekb9xoHmE8Fhiuc6gKi5ORRbL X7h5DQispbUtAJBAJv7gDMV+dMEIH0IhERgBRDaJxwGTzBMPxnMvBuyJxIBT jTAALCHnzzwZADsfvGW89GWgqRF37pEAR03Fjf0jMwXlLaA7fldzfbbcIenO 3uHuPkQvccacr+xxrnhOd29Dva3Snyl0wkcwo2P16bEpGSIgswqsupXFvu6u iuy8hOrqz6DCfVUSfFIyP9s9Od7aWJ+7tvalGwD/JgUJwLW8OodsrgSLX326 rKTU2NVR9jEg2YrBxfLytFvrEuzooufByb/YLW3FqTk6l2CCUp+2s9GbZsqS KtVX5xtnZ2c7W6PGbJM8Ke8Gtmt8YayhT+oJlZX1bbrEkFlYF87WOKC4z7GB LzDBL0L9pAa1tbH2+4C3T7E+IVJOfk35M6y/HQr/Eh3mQEQBifAiJIAoSnQP kTkFS4dGBqoq03Pyc/qHBqUJGeB9mRxvWV7snZ3uAJS7MNeFRJYAgNTcZBkc aC+rykkyiKprTAO9deVVmeDxkWCM94NXZ5ri6upyDenyWHWEUsORx1NKK3N+ CRjA9bauWjWEUlzwYxg1+doUMWyvjAQ3jEqkS2II+nT5DhwJ5yPfpP2D3dPT DzxG1teXikpSxyb6O7ohd6OxkfbTk729vc2pybbWlqLpyTY4SmdffZ35+Pjw 8vL0YH8dGaGnZ+deLGIgj375iTJkanHOmRzyKMiva6Svsr73mzdE+wBeADkW fKXOtPwU4OXOCH+Ng1IA17Tbbv5mY/7dbQrazxsp4W+NpspvHciIvgihIzAr OqMkL325z7xJKJ6vP9dVomU02PL7eqrU6VLQuUWWZCT6rsmUkJEVU1Vlurg4 /6UHr7P1wwnNb9MHuNH9Wb4hUvcQsY8xMyojLw5I3sIyfZyBw4rCFFUYACwh qSs4kDzFIunDgIwmSQIKyvTjM4OHx1/koXFz2xfnFxfgdevpb84yq5LT5XmW 5OPTE3IUz4EQHCEn1jQU9g800aQEu3CUPT4I9GN4JKekMuujofVHFaRKk/Nj ikR6nCZCZRSJlES5ih6jYasNInAk6PkxScwEHdeYKUcc/AyZUatrUKoRxNJd 01oWwHUFrRfIdwviu4ETjNBbkkSmRFJehYb6gLYVYIgikSvFK1wUPDnZ2zMy G5+R3zEwcgMrrm8jZUH3W9ucKakzJ6RJED9tDmxEi4gOIYmhfLW8uPCENIEq XchT4uRaRkwyW6qmAbxRpXONZrWlpnp4qqesqUiSRN/dmwXNDO5oqdI1dFQN jnQi6iMkkh4eCvSNYUZhybKgiOgwhgKcBPqy/XzZ/oCgwA/AJ1mOoijQRFlQ mASMNxd9drQkiUaUB5nzNXnmpBJrytHh7/Yw+TPK+13PB8f2/jywcujsn/jK Hs+LyZycmf/RhfreW9uN+aMbGc2Vjc8O3NwcjE73keVx+VWl795t3amPwLG4 MorsZQMyubyp+VsvnCuRt7i6Afrod4kG8AqfnJywZalOwWKw2v3JlQ6q8cSd 8dCN8bUD5Yk7XamOb27KKy42lpca07OTH7tRw9hJG2tTA71V1pKsYmuWraWo t6e2tMyUmWNMTjUq1brX/pzvnSDf1EdvGZ6hArkyzmLRG1ISyqsrTuE0QF/u M//efW5tyw0reeoJsc1PLrCm+i2DLuTY+zF/dAEtds+mD7sh2Xm/d31HqOl7 J3o4KyIikvuj853pn+YYJHQMEvzjFX54Yv7miz1Vfqsx39+ks7/jcUD4cxT9 GYpiH8LQmzInJtoX5nvSC0xEaYw4QQZnQudm5cWbC9QACWzNlo5fStsKb/tC 8rf291YPD9aD8/2Dv1Wkr18rt5V8r2crqs9T5SgGR5srazOTkoVA3N9ZEsHJ 3XmmSanUvk9yAT6TDEKACuDKwEBdXUO2PJ4ZkyTWGAUqQ2xbV+vRwTq0bry+ GptaGBiZufm3Wwa8QWfnF00dQwSeNiY515WCw4tivvd/qy80be5sm2vKw6Rc UpS4daDnVXjwo7fMF4EEBxLKiYR5ivHjK1MCSHHPPOkbm1snJ7try339vVWN TVUTE32L8z0zU+1LC30r98LGAqKoqzW1ddQWWA2IqqegSA8GQ22tSWsUJ+g+ yIAGQDHfomlttpSUp/UO2JIz5KnZMZ8Gf0Aef2FpOr/YkKjnJafLcsyJhcU6 8LdZucrMXKU2VRqnZhuzYnr6W5ZX539dJ3OHAePjfZZCvc1WAeo20FczMda+ vjq6tDgyB6VdbgHPAp5ratJms5VfXFxsrI3vbME+xjc3tZ22F6GAcKCFKqI1 url1zknMTfk/Dh5yNVgP3oRFJL3wjnjiziqubjs7u3yDob3EBfiwSbS4yMHJ 8X+nQ/+McmfWvOeR/oE/8N11HEcNJsOnnuwnHixwfONAooqT4tISvZnOKL6H LIlRVp42PtKckhsNKEWXHQnedwBIlqLkwtLUvBLD/MLEB/8vfNtcaxMzMgUs BzzDZIhW/G4CtPMn+zEDgQDVpkUmGPjJObLG1oJwgXdhuV6dIbqLz/yz90t0 KANSIrFBBSiRQfPL0zdf/Aa9u916mZIVOz07mpyh2NpeHZkafY715kTTUjLl YE0Unyx9EeLjycDxE8UhQtr3/i6WchMYtH/U9IV0xNrG0vTsCGj7SlvJ0voC oIgEWGUKoAjMM/cXGsg5QCMwqwBYKq/OfXcb0gqUmvYyAEVhEj9+AomtxPlG OMEpaz1FiZRINR0r9gzgOemy5UWV6RiRR6jYZ2Z+5NerV1CeBvgTLw2gA0SR +NOi0NnWxJYe68x8+/BEU1G1MS6FG6mm8pV4uF+wIbxwF1yoBy2IEoOjyFDW Giik0tXV2fX10cU55EC4urkMmAcl8ICjfHshjkyAfEJE3jQ5GlQJLfAEdcOK oB8A2KNFYekAn+Qo2FboDbBKrmGFiL15SkK4xI8RE2rMUIxCKcxurv8GVrYb uCe2dw4mZpbHpheBuOdEZewf7PsRIh+7sx7D+g077wheXEZ8OmiZbXiT2lZz d0tZY9XRyTLESFdr795tDk30ZBQXbu7Mwb/ZW1xbFajTiut/9yLr6vK8o6OW LFA7BfF/gvamsV94sb5+Qw0gCoNIooduzG8dqbxIBVgLFxTqiot0xcXpgSRp IFkxMtI7N9O3sT55fXk0PtqWnJYiiFKFMBQvfZGwTpAO50dn+lsMN4gkdAjk AbKSKFPg6t1cvU//8EX1vNsq+xYr+dGZ+sSdCTjHPQTaJfeD83ut0f3DzueD iwjvRSfx0NT7v6c/82KDBgcrVqo4GUzafxRrXEN7A6+JkfE/eIe9xDJgXz7K d954bxq/oLzwYHt0Ya63oMySk6/Xp0njNBwo9lFZandneSvibgQdxR+Z25oa 8yurMuE4itbO9rKWpoKZ6YGbvzEg/YobOaCj+pbcvc2Jgf7amCRWQZG2p6MC gqK2klZbkbkwCTxpeXmaUsu9m82iEukl5SlAyseqI8bHmmvqTbFqtiZFqNRw aupzrq9O/ySHz8Pj04XljZ39XWKUMKes/DvftyVNtchXLX3doVJu+1Dfi5BA AEjPAwhwhJ+gF2hMZKIpRmdxDqJXlGeMjXUvzg+sLg+Mjza2NFvHxrpWlgbh qFk9t4FJe1aWBoYHa0eG23r6bUkGEZi3wco3OU0GGsGQLvsIkKC4QxpORk5M ZxtYMV3vHez0DrR+ijdI46+uL3b2NnR1VQH8tlj1KZkKjVGEOHuDT12qtKIy 8+gA2bh0c3Fxvrg8MzU9cF/c339DgUSbmurs6CgZGqwDOLS2Mrg4372+NrG4 AMHeymI/HCV1oKe7srGxcGqifXV5CAYFqG7Hp6e7B/s390Ys0mVzy0ueTFxW cdXi8jb46dTcSkJK8Wt//vHJ6fn5lTonL1TKGZ+bWdvavPnbzN5IQR5kfWe9 wlbNSlDEZRo/+zNk7hocm3vqyfrvV7hv3pDAhP8WHwLkFFrkIUok5xVpALuq U0UxOjZY/sPCDmupSC62JpeWZYxO9E7ODi+szEzOjU7MDh8e/+zZFZtc+L9+ Cv7WkQSmxA+jBzB+cGQ+88WgBG5Z+YkT4y1gvKXnxyali2qbcu/T0UeYlJIX zY7CmstSLy5/UVv1S+Xs/HRza62oPKO6ATJwY0VMplIE1i9gSPf2NzFkFJEm ZmNrDQyhnf29rLIiMB5u/rjpCxkYjbZSpZqdXaTzZjtQ5cG1jUUl1Tkqg/CT JMs/YxI44rWctJzYi4v34RGgzprqA0QUxHcjyVGmAo0+T4kSevhFOHky7UmR gfIkhkTN8GE7RifzGlpKmPF4b+ab+uaSj/x+YUa+OjjaMxSqgriuiKrHn+OS mCMenmqsbjFlWuKlSRRIcScOIIr88EIfOE1JaLgQ9ySIAkdVIiVmFXQMNC6t zr37MHvd3PI0J5GkSZcBIgIIBHngwwl2wfmdcRAQXTCESV45xfoEgwAn9SfK AgEgId8C/EPDqRwYsaE4GXRxGBYof6tX7AaeJQrKWsIjksD55tZWXLIFyOuf XOilNdXHx1toRkxzVzOAH9j7aG99a3JkqufkdOUdZF/bPD5ZHp3uVWVnjUD+ ZmCWe6+x/L1jDtTh8HCPH5P6nSPpkTvTDSvWp6j98fznXqxYldKUq/UnCP/x isIQKxsa8rOylNZi/e7uRoKhwJCmWl9fABPAwOgsW6b7r+dhX9mDt5XkFEiz 82Y+RNYy3kyfcD4xQhqTGJubp1+YH7/6/f4DiLTdOzh66ct97MF87hXx4C1k X3vmyUTURB9tm33qAam/fp4unOloGjsmiQddh3zLIb3WTy5MsOZ64cNwCBTr Msuub51P/pBycnaWmG0tLCtmy8TfeRNfYmj2IYwf/UgAk7C8yKb2yr3NkbzC pCSjCHpDddzkdLmtxYIETuxqh9KTNTbkI4zUCoUPKgb4VFJqrKnJgc1wxe3Q lYrj4w8kzs29BezfB5xAJVfgBenlxenhwebI5IDMwKHGYMzl+oGBmtgktrXE UF+X29iYD54RwJJSy6mrM+UWJCH2NTjbF7uts2Z2phfeORUNRHBFdYYommi2 qGem2udnOxcXeq+u3nu1vXv3u2NH/FK5u8vq5gZaxEy3FgfzI65g51Iw982v Lpury+dWFr1prB+d6C8CSW+IKDd6aDBHwFGkdw9OPvNk2zraq6uzi62pcKq4 gdnp9vq6vPa2MiQq6eJCz+rKyOrKMDgZHmoB3NvTXWetzDZkRoEpHXY04nxK R8jEDr7SGsWLcMCuX6z/+0hEl7PTA7n5KoCUcLgAHuzoLgNjqaWpsKY2p7BI ay3PyCvSa1Ok4J7FVt387NBnG+P4aBsQERTya3kAfMLnA+tr43ewB+ci7J4Y t8Hg13WwvzIzM1Jamr68PPtL1RuZmTLXlN+/EsJKVKWW3Nz6L+0dvg87+ZdP 3R+oiaAQJdcHR0f1XY0uVPcXof6P0d4xGYaCmmJ5asLM0mzHcOf23s863t39 I6EyK1JlKq5qJ4hkoWLfYKE7TuLf1lFytDNTWpMuVpFlajr45EFptiB04cSG g2GQl6cy5SZkm+JVKSJtdtQavCMbkeMr69t4rhoMs8cfeDcxH0C6cTE/XokV e+YVa453Z9o7SyKiQ0srUxU6JuIYfH/zFBJdR6amyaHc8cxYIx/2aP1XHL3a u+svLk6tjbVoEXt2YdJclLx/sFtRk7e1vfYHdsSnBbEL1zRaohJoYJZQJDEB IEmUJAAGiSmiz6ZavnuVwEuRkhW9AiDkVokEbmVtyA8RepEUKLTAI69QW95Q 0NJdm1OWEpcVmZyr7Gqv7h5uJ0ahI9UMm61ckcLLK0/97KzbPtjCTSCFSf0A t2DF3t4sx9xKbWtPcTjfmyINBL1AlwWLEokZlnhwcXG5Z3t3NsqY+hRFIURK qNEcoZbD19CWNxZvbgcSEmnh/OJ8dLwvMVmAErgH8d2Z0SE4qR9K4IERegGu oyrQLCjHrgfgMZmR29/bxIzCAiKiKNBg4EEe2nzI/AqQr66j8uT40FyVVWGz 3vzNltvvoNw3EHOOTS3mFDcgVRscm334lv7Qne5FFm7tzE0vjNOj4kenAf/s XF0CRto+OJw7PYWCIB2fLK5tTs4tT8wuDr8lRhRWV5yeLQJi/ZSPkPn8V6TG XatIEnL+aU/46hUZz5JUlCVTeJEP3ViR/z977/2VyLa2i/4596dvjHvOuN89 Z++z9wq9VvdaHbUNbWhzVhRFcg4qmBOKCKiYMGJCMSuKoARRxJxzzjl7Z1XZ tm13r/St0Oue81qDUSBUzZpVc87nTc+bkqqoETN4cQC21bcbFhbGOjqq1lYg c/fMzPDAgGZtYzeIksZOKqxq7DaahzrVjesrw7QY0b9e45+7M2JSMwCOaqzP kZfx9fpm5ESnAD9I5Y0qzdnJ2h3zxoOF/sMETGh/cGz2P5+HFlQ04iOSnjgT bXwAOiL/+PYhQHpgUEL8a3g2E01lfPsGCQCgWfni7IJCAxlEX5ZLg7r15o94 Nq4v21pLautk9PhYVxzVGUPxJjG8yQzbECqGi5XVZGTlxaZCZDK3gxSsWV2d lV3qyvJKIUBHWk1NfUMelPPeowTYCcCkbvB6L9PNYu7c2lr+Q1r+6y7z+t7C cZv/cnpyNDc3vLW5PD5mBOt+f2/r9FT/wpzZZGhobJcp6nNiMikedLuKeglA ieaBVpGUV6uU6rvrwCXLyvgzUwa9QQn6RCpLEOdFA/So0jdp9HVg6mtqLdre GO3tbZDXiHp0NYf7K4cHm1ubs+fnnyWN/y9f3PXR8bHK2NPao6Hy4z/+zvrm bv/gTJFS+b2/i6A0r3dgIoCcenp27hjE6x+GZjaDod3U2wQQBcLcrtPV6XV1 d8611ZUxgDE21iY21heUSil4GHJlyQDDgFn9cxM7+C/oMWF2pCQvdmFpGmnp J9sP9OLWtlLhRz/PKYwvKE6+tSaJWamZjKy8mPyiJFlpiqw4aWZ68ObhcwXn IBxs3pbmgdlu4fZD9ZcXoTqGUGEXxCCGfGFtZWhivK+yUlxSwlerf2b6RRxS N7BnU9Hcg4Tw3T1ZV38d4EdW3uuPtCeEmqBa1eJEQnkwg+1wAXY4FBSuj/V/ hvJwpvjZEey6+iFj/scwI79OTEoJJaWiiUmoRlXR0JBqYqLbYKqvacyWVaYl imncNBwTIiwKzczlNijzaxXSigqRokY6Ozt6fHx4F4y0uLIRTE9/5cl6Brnt aPcBkp0/L1ooCOS6UJJCqhuyowS4VAkzVkASFfISxFSwKCMkPA+8bFCVVX54 UhZLZ1bv7G3/+r667aK+0aHxuRnQZ4dHB1Blv3emldsl/p279ncU5MgAPeYU JQmyIJ8a0DpjBKQUEfOTKsaDrAegO1QocuBWQTHe4GhNndWeDPsMKTc5i5Uq YTU3FJ0c3zIbwzRQ0BUdHh9Ozo2OjvQi+TL3BRxqZ3t9YtzcrqosLOXj4/2h orewBSmzNDZTxkWqhITzvItqM3b2Znd2JxZXTIMThvgc6RsMywZN8Odg0NGh Ennq7v7O1Yd5hcjFmnpVxPgAgI5yS/lxYrpfhDM62jMoylWUFyMpiANgLAhK u3vTqWsqr5YERrpg4wLIScEAHRETAklJqIJaSUuP8oM+/LLJh5GpeHpuBQCk x06kxx4EUmLa4fHqxvZsfWfLzt7c9dX69fVG75ChRdt2ebV+erayuDoiLq9a WF2Ny5I1dhmm5qcvLtYAuryCoNetD/wXM8DcPt3C/Fprn0h2XHJVpbBWIU5I S3jsiKuoaxnoa66oLlvd2Hv3i/P7R75vXQQHkhQ1O4fEvPRgvHBnWHmxHzmQ YlJSgO48NNwLGqYzjWI5mf+ywQmlBUvzvevrCxcXZ59r59U72Axej45PSxTq nd0NDIP7lS3JB8fxJ0Z/+4b8g8snvGz3t+8dqS7BNCvP91FJnhTfkBhXoMT5 cRx7Bjpv/gCYAeYxoD6fnB4f7K1V1si0us6B/nYAfgSS6Jo6SUGtyDykS7vz ImVFQhQ3OVwAkBobC8Db8sqMLLjkvUpVBnAFQERA379DR0a9cnnpvfUAafzJ ydHS4gTYVldmtqEy4n/qA3+vA68XF0Y7VGU9MKh7F1xU22uoBzjB0tdqNjYr GqR+nLe0VHRRtWB0tCszl2c2tw5ZVFV1WbJy/srSQIuqOA10SG6iTl8/MNjO TscolFn8TGabqnR9dRgsyiuL5oP9tT9z3dze2x2e+kQoCCJdfYb/9611VXvj ytquR3g8eM4rlR3N7U0bG0sApUxMGMx9zQBCAIy0umwZMLdZzG3LELSATC4L 85bNTYjcD0DKErkAwJUH8RIwbwb7QcXYguKUnII4ABoHh41IAPxdu26gh+Fw eXlqesJUU5sNhap++NsH5ilxbjSA6zkF8VV1uVpD6/FHCZLI/vb2yvho1/Sk DkCgBzFUE2PauRkjkpSHFHwB92hiXDdoaR8eVI2O6E8/U/bo+ueG3pej1W5u rYEVnyWIG52ZBG93dta3drb8ODirMF+k/K49nNVuj0dB4fp4L1cqZmXzNhsF 4XkEN+n07LRZVSXM5WXk8rgCIi7aJ5KPjRYQIvhQXQkS2GL9IZabZDR45abj RAXRVcosrUZRVZVVU51VU5NjsfQg7QEw0iGQ+58v0P+0Cv/2DZRZ895m/oZq F+KHjnEDC2hYrG9UGq6gLEWrV1TVZxGifUWymJySeLikF/aBKQkpOp9fJTw7 P/0NPf+5n/w5N/Hi6lKUH5Mu5twVDUwQUj/nX7tzsYFREMcn1jXK4OUSWsga tXVhMT7oaK+MXG69Iq+6OruoOFUuF46Pm+85iH8yZu/qStlYFJdBQfM8fTlO sFfLHRfrB/nC4gOJAKvEB4K3aK6HqJibJ4/npKITxOS+Yc2LAOIPvvhXKLw9 BkdMYrX0VD88MpIufbBXUSUJifaKSMO1tclDeJ50PiY8zo+WhG5rLo/NpPpy nH1YDkkF3JmpoYjUcD+Oc2wOC7Qht1KgUEgtg7r3UaG3MOHqyxloD+R2ioBb d3Z+0aAy2vlHeWISsbHCzJIioI5fXa5ubk1eQUn9UAk2o6WnWau6utq8uFhv 02qosflbO7dW6MvL85uPbtz65l5WUa1lBLL5/EQf3P1r7+B4f2+roaGovb16 YX6kt09/cATpLCcnCFnEw2kTESTwBnQ0uARZZXsYM+OxI+GfVpiv7fCPnSiq bvPd14OoaWA4M+PE4axUF3S0pqfj7AiK5Lw837u6uoAi9yCnxpbO/EHk292p jo5PXEJivn0THsNPdg6O/t6R/MKd+p0D9WNf2/3tsRMciQRXdXkbTMXEQGAb rNH5CsnNnzV+d7fnJsY0mTlRmVKutrtmfn5QkheTLmEjC5Y4l1dRJVK1lxn1 9TV1UqAIJMFZGKmZTIisr6XI0PO+cpnJ2LA4P3BxfnLfLNw/oJFXCDTqSm1X lbar8hiqJ/4HXhdy0v39rY31W57DqZlhVVdtaZWoR6ecnjSMDqshKux3be7R QjHYWk2NUVdf0yD1B0pNtG+cmGYebIsQ4CYmtLubE83txTI5f2bamFPIF+VE RKTE6IydYxPaQBY9Pj0mrzhpeLhjdXloeXFwYc50dooobr8i4P83y0/ovFdw utzi2iohObpa1QR6xTI2A3fOeVdXXXtbyfxc3+LCIIAQA/2tM1N6gB8AApyd NszN9t4iirne2RlIUwBHa2qV8yE8E5WR/c6bJmLlFUHVRpKFdEThhUvERopy uAAgyatEOQWxH6c0Li1NNjTkllcIMiFagIiPjVEPqtACvKSok55/DsbABzYY 2pRKKWg5QHojw51I4wFSGh/TGg0NK4sDd5DpDjghzsTW1tLj44da9k/05187 VyPedqBuAJAwMKQHk+ryxrplYqy+sXBkrJeXLXwc4KLs6ujStRbUFBOSuVah Xna4oAdFx6zC/ONzxYfHx3eXgzxCnb2ttKSQ6uqsjtZyRV1OTnE8uKGlVRkq TXl9a768TlRUnRYLp+FDAUKJIQAvRfAxuWUpbWrF0EjvFWSQeZ8GaBqcLK9T 55W3+BFSHt3DSE+c6S+80UFRnoRkVHo+DyzuYyOaXlMjOCA7NUxvVCZKaPEi CiMJzbh154XChDyh9AQUNsqzx9R685tcbHcdeGcs+h3uxy8S6ERAJ21oKU0S UO/zhv2E7ShZBDmdZeWpbR3yqZkRxHwEjjO9OAkgh1DKrYCpjxsbiwcGugEu HRzU3e+Te8EMD9fEVn1jENc9INIlPNaXzccCrEWKD+CkQPXUoGqzMApFrHZo DsqdGOxNJS+tDurNPVYoyvMAsiMOR0yMzK6oyq9pyiytnl9Zu77XpUBOT44a VBXezDdVNdmSkiQAg5OlkQERLoWl/JraXIDKMLG+Xgx783ivVtMQEumGTQyI zmJEiMiTk4N1tfln74oFf+wW/Nhu/AXKwvJGcXX7xvZSsbJmHEpk23pHl716 ebEMIMzgWF//0BAAkicnSxHJkufuzHYtQnsFXZK+fzRRVGEZndk/OBYVKoGW 8bUt9pVHWGtn7btO/sQshNSOv3sL5WBef5qd7CcE+cLRwYowJy9JXFFUpWpR 980uvK/NZDCP2wdEwWVKWOwEsbanra9fXdtYn5ZVSIsWqLWd+7vQMsEvkEdL CkF7hqdmkeOCpfjqCkom1RiG/2GFSc8ubGzveOxMfe1No0ezgilMKy8aQEF3 HrcHeAkmHqE6BNCdUbQXbjSHEIwf+22PpetOa/gj5A69gDntYH9jc30aLBnG 3gaAi5IzaOVVGeVVQj5M8gOlmhbEG3RKg66+V68c6G8/ONxrVyuksoTm1uLK GnFbW8kdQAIwo6+32WRsOjm+jUGCrL6Xl1V1eQBlgYNou6pnpi2/8Jb95ou7 gQG5ydii7pCfnhxOz41n5tzmhnR1VUGZ7KZmHcxo9CApz9BT16WpYqaGgWtn 88PZGVhCYuD0lF5UGpcojmxryy+orvAlE4tKY+gJMXWtdZMTuh/8yF4kaltb 8fKSZXtrfmV5aH7W8A4g/UnysZ/lYzk7v6uwBn319PRwaFDb39cKgDGAi/Oz vWMjXbfg4X2EthlavIwNFnNrd099fnFKKuQXiABwqKwyAwBmsZSXlR+r61F2 dNWlZjKSM6h8EaO8SrywMA4FLBXEgdu9uQFTE8Pjd3tnXdFQkF/KL67IBHpx c2uZQpmLwKrPqtJZkB5dUJxi7mtfW5174O9G5OLiXKWqrm+QjY12zc70DVo6 lhf7wRWB9vd0KwD8g6OSTPcBEhKzbdQrdbrWc4ju+wudbz8pLR3VPYa22sYi k1mt6dP7cci5lbKM3Pja1uofAt2dSOiQGNoPgW7WYX52uA9KskIACao44z+5 MIcc6p6j8Or84kw3qM2t5IMHfnbKMDnenV0an5TF4KbjwcYTEGKEJMT/hVAI ItzXACZx03BcAaG5q+aTrVW2Gv5ti3vmRkfy/YEGSuLlxGRxYyX08nKhurNi Yrw7I5dLjPWrbylYXjBr9TUR/PCIVAzAS+Q4f0K0DznWH8/zlpbz0/OiSmvF N1+S7e6XC2hzl64pTcL+3KOenhWRmcPl8vGEuIB4ASUhnVIkT72+QiwM7693 bG7ENKCZnLTs7Gxsbv6KAKpbgNSlEOfH1Crz29oqqmqlkQICMT4AB1MqhcV4 QYRFSVDpEHwM2gpFfhZAtA2lTcwOnZ5tRQkljzwxVijaU3/Kv11C/8PaMygi aXNn7/4pEAeffrgnMg3X1l6J4nrEZDHYGXhaYnBrY0liNmQpQkW4JhdG7+5s ZOZFe7Mco7OYoTE+AxN966uLI6Om+00FMjk9pNE19/ZrHnz+ZcrdJHxxDmX0 r6yPw6n9SM217ZubzYvLDfNQr40PW9mmhbkR9qWllf96jcVyxAB+gB/q+sa/ siN870T2wSV970T8xp4UQuWUVefqejtgZfc+Bn549oPDk0O43OENVA96fmPr PjfCL+k32AB4uHdz/QEVJAQSrq4aVEYrL/a39gQwil94MGz9OG6hPKegKB9c LDFK4Boe1dvffXayvn945IBlzy+vVTR3BLAT4AMcbe5MIYkPWUUN/8sas765 f3C4Ze1NCaUzIxPZvGS2tRdEdgQDJApARM/cPrIpOdPC6MxXHpD9+Ssbsls4 CyCumz/leVhfm5yd7lldHl5etGyuDU9N9IhyeUlC+p3jAwm7rW/Ir1PmFBRn FpUJauoL9g92R4a0/b1NJmOj4Y5Su1uh1VRb+ltrm/MmZkePYMV8YmowrzhV BLMuNzYVaLqqxycts/MT+4d/HLUFNN1PTvTptDWgSaa+Do1G0dhYkJnDa2kt Hh3uBgs6UmqtqalQA5dX+7AibXVOflysgBQIRxICDUtWIwjmuTuEezS1VYpL ir2IuPKKBEZiglxZPTmpB9OIVRBJkic4OdwE50bQ5uXVQwD/F8oDayoyEI6P tgFCmJsbmp40wl6n/ntOqA+ABEC8ldVigH9yZQk5hXGlckFpRQbsXW3U9dTl FSWmiZhms3p+cdLQ12kZ0Gg1NUfwzR2fsuzvb99X2A8Odi3DhrX1xYHBnsbm 4ipFVk5hvEgKMcBkfAyNsiMzkGJqmQyNtm51ZQZJ57k7GgzvrxAf+tbWmqI2 b3d3fWd7CbR5bgZcVL9loLNLXQkuc2m+f2S4E3G03V0mQE0dKnlnR42upwHG SF+0IAp1z4BpdHZ6a3s9uzBhaNRUUJKq6m5xIga/DPV3owRnZLED2eGvwvxt cR5vCIEPbEe3dcfwqB+DPPJrK87PL6fmHxa6Oj49SsnjxmVSUsTMjPwoWSU/ VcpiJIZQE1AIWyBkZ0gMRoqDgLdIua7kLGZbt7J/RH//UAjZ187eIS0u96UH E8z53zuSv3MgPXIgjU8vXl2f9Vm64zIoopKEzOI4cLTsksTxsZ6t9ZHa5lxi jD8nLRwcPL8yQ9FSVKyQCAqid/e3p6Z75xZhRoUvep38hCABY9u7Gz8NkMAD nyxhhcZ4F8pTmtqKVtdGLi8PP+cZufvkY2PLZ9oAOVOnp0fyytMSslm4OP/A SBcwv8H5ZW4BkS5h0V6MJDQ1AbHdhaAiAu3C3bLlOQdHaxlFxbah9OcBUGUQ q2A8OZHfpNYfHZ+en50sLkxdXJzdPwsS5lTXUsLgh1c0y8DxZSX8oWEDJtY3 SkAUFieeXZwNWnpIcQFhsb55CnFZc+H9diI1hvb2t2fnRyF+uQwaWJIWl4YW lwYgdnFYTk6P/zjrwX9FrqEw9YtCRf3WziRARFeXK9dXK1dXmyptt2UEwD8w Ma6bhwft/bkpWRXIJbRptF/Z4h47UThJOZ3aZoms+ts3pO8cSc/d6V/ZkiLi 4+4ff2//QCxrODw6voEmc2gcnJ2dVzZoLaMzLWqTCzqOnVjISysB+gjYp0Rn 9VmGb37SPfdJQQYvEgyFfJIurX7mSkPIMEFTHQMjsmWlFWAFnDAY+tSuRDZY Cs9Pd8saVMR4ATiAI46dkFMChzgtD4xZwGwDGusZnhQvzANHK1PUP3HGxvIj wxl0NBXK33/iTHnqSrPx4bz0oNr70+8MSuD1kQPFI4wcSIRqkRA47DAasby2 5ebPQssnJ/sAHc3PGsB6MTAABZ8MD3dmF8Ylv8NI0sKE7IL4nMIoZizzsRMx KomTnEHOLU4dHTf1aGrg+q11kH2pR2nU1YNF02JqLa3O4Elo8TmsOnX16enx 3OLk4tJ0c1tZQ2M+gCVdnRWy0pSCsrTN7V+k/vyqfkC+vLu72aEqb20tAZin s6Nc162oUWQr63Mh4seeWyzU1CwDqA8gOrCG3lVOAVfR1lqSnEkH+hQKKDtc d5gP1iE0xt023L1EUZFXUeZPwZXJExjJyVklRRMTeutgyg9+BDcCo6ym7Ohw 5zfehr9CDg+31laGpib146Oa++gI7M9M6+dnewG0AGBjY21Yb2gQZEX29XfA Afk1vXoo8AwCwwPqxfnRzq5akZQ3Mt6PHHZjfWHnJ+8sGHbFFUIkZ40vYkEs kRIOEnTxgWcNZo/MlPIUjbL7P//4eYC852fHe7sr8Nmn5meMoP3LS4NdGuXo cOfqsmV6Sj9oUSFXB7vhemen9eAyW1qKu7XVi/Pmj+tlfGmCKI81Ha0BERSw o9LUgREqzuXx+DSAeQDyeR0eiOXhUZzw1+EB9h8Zju5vr0J9CAnJGUXlj70x A2NQFufE3OL2LmQK2N7dzJWnxYmorJQwBAXdVix9l3oP9qMzCAA7ScsSWztL 1N2Vxr4Gi6VtYX70+JbC8VaQVfvw6IQWm/uNPcHam/02OMYDk+AeFn94DKmT a9urRfW5a9trfcN6SUnSytrK+Hivqb+JnhgYJ2GUN+TXtpbeHQ1ZNM/P/4xi sr+7IOZ6oFROTA/lFiffhXc+DMnOjgKbODe6tqXk7Hzr5ub0k0eDY3Kufjku umvFDWQ3Pm5rq2BnEAhJqLgcNldEofMxQBP04ziDiQ5Ksed5keJRzKTgcF7I 6xDsi0DC6xCaGynisQ/2qT8BooUJJDrh6PFiflmdMDmfGxrtjY/1m4IL7N41 BtkZHgZKykRGWTIlIcjS19XUowxiv52Zgb55eXEur5a4UqwzSpPvfEPIzsLS bFZ+vKqrtqA0LV3MQqYFYU5UdkFsVn70/CLkfdjd25aVpx8cPkyU/nJkbnlt bWu2Rdve1WsEagdQDRUteqAmKFs7kds6t7jgGsoNZWYOj0GAf2pu1jGQ8o9X 2O8dsc/daD/CUOQHZ5oPgUOKDe8xd7bqlFXtxeUNNRFJWaH0JG9cor5XCye+ 3Wj0w//3kyC4jIgQ6CD/eo39tw0O7GCYqTY+zERh/n+xtCDo4cGxWUFu9UsP xvdQcXOI1kyYK2vvbPahcQmxycS45NfBFG6G+OBwY3TacnGxubAy+sQHbxw0 A0C3tTPlSeF1Gs1jk4vP3Kir6zPgmNiILCwrgpfKo0QLHANZEF2kCzmQlGTj G+UYxARfg+KOENJsBwqaxi6vkbiiuaE0RmYOvaFFBuPkPyN8BREoKXh3yWRq 5IvZReV8i6V9Yb6/rjE/VcQSZEeKcyOEOfEhFLZDAN01hC6SRtU15InyoqXF iWp11cyUwWRsaGqSqVTlLe3FxdUZsso0QkJghJDQpassqIPCqABAAs8zAj8A GimVC/KKklIymVJZ4uHh3vn56RVkBPipiwUDCrEePJgTPqlP3UDzwFFdY6Eg iyPJi66sFnVrIe6m+2TgANepOyt74TAksDU3yxoaC4w6ZY9GYTG31Tbn+bKd fFiOEONZhAuYN9DRblZoz5Kaalm1PIiOU9RlRgky3MkRfQPq1yHUV0EkoFux E3h7O6u/ctb6ywQofTvbSxvr8wtz/QtzvfdNRotwqpdWUzNkaV9ZsizMGufn BheXZ+fnR9QdZd2aam1XlUFXP9DfsbmxhFzs4vKMwdT5wDn+ya5ADD7Gvk5p YXx9k6yxpbS6NhuAVU1XVQG8dtzFZshKUzvU1cPD+rX1xQW4uvfdQcbmZnb2 9/qHpouq2gW5tSE0AZGbnSZVrq2vri4PzM/qtZrKyQlzT3ctYjIaHuwAIHBo sANAo5Fh9cJc39hoD7jG0ZGuuRnD5sbsbb7FlypIT25urS6vznmziOWNUHws 6MA0MSsrjxfECbfCBEBF6jEBNuGIE+0TtiMbuDyrdZhvpDiFlS71Y3HehJPt w1i6gSFaqiSInWQZnwLK797B4eCQYXRE3W9u7uquqqyXRKXjbuNSYG4idkoY Nx0XIySmZDNTcpjtXfLNtQk9wMz61o+bfQMTlQ+Nz+0fHB2fnE7NLk/Pr9x8 OHJvE4EnZgPYCeFcDItPWVyDGQOQ+KgPI1f/FoPrgSDmo8npodRMJlAlPheV nSAgx6QR+SKmMJur61Vd/wHByZdXl7OLE/XqKoBtSMkhYTE+QZGuuDi/iDQc bEqC2R25boERnjZo3FM/6jN/yvNAwlM/HJjiXkK1ZaHXpwEYJ6JzYKQLjY8R lyWX1eci7oAP7yk0zOeXp4O57hMzwwcHu8QUdGZBLGLLWF6cjk4nklPQi6vz N++gEWLgmp0fkNcIkzNoD2AkWJvi06n1zfnX12dd3Y2xqfihUdMXnt22f3i4 ugmpzMiTbLJMPndjpmRVX1xeLy5N5BYloijcJ04EWUWlslWdKExzRbNtfOlW XhBDI0yoSOKk5KQVx3gy7F2J7q5Uq8BItxBGSjiTz07ItPNlQxXnd+bA4Ssb uiHqbBsc5MV2o4PfvgmIBFtsunR+1rixPvHbKtkh9/P07BxAu//ra99HDiQb 34jnbnQ4uYz8vQvhWQDxOy8sWPu+88RieEnv6s1txefkljfWwV7FnbqOZnIS f3hqKiq1LD4zF6w8gyOT9v6R6VnRi8uTBRWtUCkiV3qSMI6TKLbyYvniI751 INv40l570568pX3vhGlRKUFTFI0VKUK6Zdh48fvRQv4ygbru4vxI21MtzOEC UCTMYZdXiUur8kVSSMfnJbPRNIaVJ/Ube7KdH7usKidTGlVRKx4aVLVr5Fpj bZ48OQkos1IeKSHIl+PszXJEx3h16qr2NscHRjQ7e9sLi1NVtTnViiwEI7W3 ldbUZssrhYWlqf19bbqeuoW5kZvPTH0Xlxdrq3N9vS3mvvb7htz78u6HH/z8 8Gi/uEKYXZgwMKDp0dZo1JX3ycDvwrO7NTUmQyPsNhL09TYB4DQ2rO4fbGOm h6cVRoEZg5EShopyD43xsMPaZpWKhIUFXvgQnUEZK8pyxrH6zGobNBXO7yAQ eNH7e5ufu5AvTUBnLi9aJsd7Rkc0ACTcZXjBocum5cV+U2+zVtvYoSrr728f G+u7gbxy+3OzwxNjxtXVmaOjvTsT933NEXZ7/TQLMRzJeXqMBF0PW7pMxubW ttLyCqHoHjU3RORexpdXiyS5vKyCuNrGIsQLBn4rLJO50bCL68v17UZClMQH n/yNPeGxE5mZULCwBP5M5VWFVG5Sm6p5fKRzbWVwdsbQ39eytDg8PqodH9Mv Lw5urE/NTPeDqWNuxjg323t2itglvty7hvTn5PRwflEiK5XjSkH3DptLFLLI FBIxhhidxngdfhtfBGEhXMAbgi+c3R9wF5j9Au1FT0+UVBR96+Mcky0Znpx7 i+eERXMfeWJeBZFtQ+mPPMMcwpkeZB4+Lm1y0rixMri7OQHQERQOBNdEu59K RkuE3G20eFSGNEpWmjY1PYTwtfy26wKytLZJTRb9yyXELpT8gw82p7Lx+vrm N7DSfckCLra3vys1k8EXsRD38QfZoGKWsrWUK6GnSblgIAAAoNY23PxOkwmy Po5MW8jJIdj4AGycPzk+kJdGACOrqlrS2FDUWC/jZ3PYqRiYxRGCSe5Uf3tM mCMuBMZF5OdwGVx4hxjMYsoqRPUtJfI6KdB8hwZ6Pj4j8jDkVGXwC6PBjrqv PZDthNRABP9SqaqAirT/sQkI2j9rURUDJHk/NBFinBOzogVEYkJAdWtxYUka 6MbpWcj2cnp28gWafx+ohrcKzvaelSfrf7wIxXJEK2tbw2OWBAGHGMH+1h73 P1+Fe4Un4DlxT13IfjiGOxiPb6hP3lK+d6B5ESLQMR5WPlg3LDUmMwMfIfnK luCFjaFwBY+dqAHE2BSxbGt7Q5Bb89KDAeV8OVP+bYN/7QPgU6V7KK9Qrjg9 2f5tSQ1Ifuv5xaVE1ljR0G00j+AjMp+60UHDnjhRnvlQXqOpbqRIMIF8446p 72y+udm9vl7f3p0Wl5bAVVQ2Do8XssrLzs5WGrt0kuKaja0ZcMfosdIUSfnY ZP/h0aEXNv5fNkQ/PFNWLrT25nKSBIkC7o8uFHo05y2a8sI7lByVeHwMwe+V tbl3vDF/gZydHW+sjVbVZqVLWKxYpmsI4ZkbkRAREZEQBVvtCNZeDND/bwIi BoYsOmNDeU3mxsrw6FgXOTnYh+UYFu0dIyCBgR8W5RUpJNQ15xkMSp2+tkIh ysiJkpWlaTU1XeoqBJYYdHW9hsaRoe6Jse65WSP4ZKC/4/DDkCTk8QIfmowt sMmist/UClm6DvaWV+bukNLOzvrnjEhnZ6c5ssSJqaHevo7svOi29lKE1vJB YTV9j7KjQw5aXlsv7e9t0vfUdXRWNHUUg3WzWV0Sn82OSsMnSBndhtqy+gxp RYYNmlJSLRsb03hQIl2JnN7+TttQ6jPYNZ8mTmlukq2uvmdO+4IFat7Wxvzc DAAM/atLFjiMGcJIE+P6tdUpgJFmpqCAyYWFqZaWcqAAfvKKHkCjX9WC7Z0N laauqFwgzo0BuAhMifezniGjen5ccXl6R2f13v573hvwDCTkScJiOSub6+fn VyRezitP9jNXup1/lCs61jEoOkNarGztMQ9P63VNSwt9U5OG9vay9fWl7a0F i7l1bFS/tjJ0cnKwOD9wdLi1u7O6uTHzmzvxzxGkY9c3lnf2tpTNxTGpRACQ HPAA+QQhVVYjUmgBLMyrMP93Idn+b6luTmQP8AqQkk04Cnz+huBlj0d1m41u NJxtKLnDYHLARtiHo23QeLD2gVXvFZSjRHzsjXcIC0vNYRVWpMqq+Gm5nNhM UlQa9mH5j2Q0NT5IWMhbnOubnuiZmdKfnCDBup9+SOBSO1dwTuXl3VyNPDP7 h0eJuaVuJO6PfjgrFAVZi3/wRStUXxw94O8iAOXmFCQAjRKoAJA6ALuVYcpZ plrXuH98sHe4N7cwMTM3trq2+HudFOnG1c1ltbH14Gh/Z2t9oK9rdnqkraMq tyQlQcygJoeEx/qieZ4orjvEUwQRWbuguFBNkLfEIAcs2ioY/yoIzHJkF1Ig OTGAkowOifZCR3vVtJf9RGrnwurs5vbayekxLQ3Dz+IgTtiTk6OurrpLuKbP 9UPzILStro+W1whTM1l3Pvd0mD+KnYIJi/ER5ccAABmRjFGqqwDEyilKWl1f vPlSH5UHrapr1T9xpvzjVbhLCC+npCGAGMWOZ7NiOXZ+DCjuyIH8owsUnxxK Y2IYTKiEvRPl0RuyTQDWIRjogPQf3zK+ssW/8mK99GABIATmvW/sSV/b4d/4 s+38Iu39I75zIDkERuI5/H9YYRlxwplp49io7vBg8ze0HB6z7xu/sbFSVd/y 1BWqZA0aaeXF+od9aE55eUpewX+3DWCmCc/O166uoDJzV5erYLqCX3e6ervA trg63mPuXtuchIrTTYw5Bkatb0GGtaaO3n+9xlp5RfRb+uIysmz9Ypvb5QEE ilMgqaG1aHphZnhy5OQE1os/059/jlxdXWysT0xN9mRKo9Il7Ko6OZ6T/sSZ 9D9f4fmS/H5zVwAp/pkrrau7bWSkZxFK/7FsrA4Z+hurmnN4YjLiv/aPcOFm EDIKebXNucXy9KQMWlIGHaxx7e2lnZ1yVXtZl7ryXlq9wqBvMOjqR4fVgwMq bVeVydi8s712+aFRYmFxsrAkubGpsFen1Okah4YNZZWZ2QXxuUXJxr6OmSlz V6d8dmZwa2vl9OTo6GgPYYO8NeyfHI3Cdg+Nrlnb0wjgmQourPaw+Gy3IleW AACSSModHe6Znh2SyOJNpsblBbPZ0joG0aMx+wda1peHD7fHeIIscVHhzclM Upb0Xy5oD1IEhpfw3I/8zJ9shSIVVZSYzdpfXuz4rxOYA2FvbWq8e37WBPAh gI6T49rV5UEAk5qaCg3GjrOzwxUoKQ/Kdbq4OL+/qN18Cg7BZK/X5vERdmZK k7bz8qNSVndvz89PtrdXTKbOiipJMWw1ShSQwWIhzOHe2Y6y8mPV6gpDj3Jw oHN/b+PBQfYPD53JYdiEKDSL/60D9kdX0lN30mMnyneOYIYhvQ2JI0fn8vgF g4Od66tD3d31yvpi8KvxMWOHqnJleWx/D4qPurz4dIDHFyh3TszahoLl1QVR TlQgK8wOFwRgjwPEaxT0lhRMjiVC0Cj8NjDbHu9nj/d3IHo7kgAu8nMkebrR 3WOl6aubmzmVlY880K9Q5JdBYCO8hFY9ErLBn1Csg7GcdDabH0aOD2KmhDLe 5X0/AEiUuMA2denW+sTBwdbp6dFvs+HfwE8OKy3nOy+MFYp824xA0Ay8E5ae WSJ/UMbiby1I9DKAiLUNsgQBhZoUAjAD0Atga1KkUMrlJKJllZm/O1PlA9nc 3ege6Cqsl/KymQEQc/VbTIwPwEV+ED2RoxfD3oNui+J6oHgeEK91pGswzwUd 7ebP8bBGh/3oh/dhuwL4xE7DVdTnHf+ykr6TC+NMfrhO1/Lugw9ClT4ll03t JckZ9IzsD/JbAZ4UwiFJACyR4wI15s5uYxtASsMT5t9QgOZPE6RhWcWNMQIo ps5kGbf25nxlS3ziTMaxODQek5vM9sEynjjflrD/wRmiBgqmMBgxLDtfxmMn 6qM3UA0RH1zsk7cUAJBKajpqW3XgII/hwGawfe9IAfsQj/dbyksPZouqqUev cguFfjI5aby+/O2Rewf7qxMT5pr62tc+9H9aY5Gq1j+60NQ6TYG8entnZmiy r6a1YXFlBKi8d6V4wXYNMRusq43qg8O509PFw8P5q6uVi8utJHF5uhRMyMfn 54dBlLT/+D4wI08BTvQmMCYtR55fkv7MlcKOo8/Oj7zvwJtPLzp/iiBYYm95 cWBzY6qpvSqvOHlvCyyU/dmykufudLDulFdXb6xahFJZhrQQ7CBcxHOzRn1f KzeTAhXZ4ULRfZ6MN9ESst5UbzI3GQzKuvpcsGmgYBUofhup9Po+WQzydinu EsfgfykAXkKCe+/3Q34pny9i1tRmg0N1qspr63Ig06uEUypPHx/tHuhv7YHt QuAIFnPnxcV7W+ve4e700tQJzKrR1lldXJ52PwbpXVK/EuCBvKKkpAxqS0c1 GO85hUmZudzyGpG0KGFlEQpRHhvvWpzr31ofVDbXESJT97eHO9Qtr3zJyTmS yUmdCxYqEfjCj/jUD/MKRTWPzdz8F0ha/ky5vDzfWIMsRb3G+qbmksbGoj5T 48yUTlmXW1qavre3fXFxurE+eXH+aSBx97hew6ESyCVXq5pdKJjobOHRKZxk 8VE/7O2uwCSN2qoqsblfMzhsyCtOUTTIKmqluUVJ94mF29pK4bo2tRvr83fn Qlz5A+OjAANYhfm9CvV/Sw5zJIa8QoUgZei/sSc8d2dg2OLMXFm3VnF+BnRV xeLCyMXFZUdnY3+/GmnvH9qxv7vcqv8b64wEYm+/usfQGhYR+joc4n60gT1o 1uEBPvRQZyLqNQb60IEAPkdikILsIduRrx3Ox5Pht72zbBoZtgqmAARyB4oe bAAjfeeF1/aN7B9uC4riiHF+kWm4B9AICdVmp4TFCAkTU32/pP1AGV1YXRib HRuZmVreWEPyY/YPj+eW1zoM/fTUrOcBRHDq+8144gPAG355Y+uP7+A/SZD7 WFSXzU0OTxez4yXMjZ21NrUiOYOamskACoKmt625veLw6OD6XUHh3/fUKxtL LAEezfVER7pT4oMEeby2LkWKNDIowsWP7RQa68MWEjNLk2paS9XdDZmFcfg4 f1IiKizGJzTaKzzGFxMdhOWSeQJKnBBKcpyasNz8nCaIjFxwLbBL/adUEuQ4 RyeHacUJ69vrykZZyr1M6k9uJZWZmbnRgpyoNDF7bAKp/vklDm3k0iyjs699 Ir2wKbpebZokzs4PQkRQoTESk8Bhfe/0UYkNeyqezYwTUHgprBAa+3socSyS kyi29qKLZY3iwvp/WmE+5F8lAYD03I3+nTPRkxDFFWaqNM0xfKlLMFdn7AZ3 AGnLT7fz7m6CW6bvG8vIqw5jJHpgop+50gASuCs5/cNbygCUkXcAl+IFI3Tr 8mIFCkB6h45uMRKCl2AaqIuL1aurtWatanV94uhoAaAptU5n5c1BMzL2Do6U bfqnrozZ+cmo5ASHAIysnA9mbDgV4Q8qZPprBVnlLodHB7DslKa2xt3N4Z2N Ib2xA01L+o/HIdmy0pvzaWNvZ6uqaWJcB5CDZaidI8BHpGIpScEQU32kGzEp KCITHyehZkq5Wfkx6s5KsMB9bLG5i/zp6JC3tBRpNe+z7Af6VYgN9t2wupyc HpLkxRZXCGvr88A3OzvkJeXpACyBtW9kSDMxpp0Y05iMjQjK6jU0LcwP7+0s ISirvquKkhzU2lM7OKoHGgc43QOABH6i7qwALalWZKVnRWzvrCubipMzSLX1 0hxZnMHUtArFJ5uWIWbs/ukpIyEibcCiWV0yo6hxrZ21+9sjlkGtKK+wf8DU Pzyk69PPLC7tHyI8z3/x7fzlsru7OjfT29NTv7GxAuV8jehaWsq02gYwod2/ CsTWejd87tjp70MgkbzoNcY/pxrSkspq1TVN3XdfOD8/nZsbmxg3wsFOJpij 29TUVNTeXjk3O2KxaAqKUwAMvo3QhvICeJAhS6fs6Vbc970iDdje23WlhluF +nqx8Lj4GBt/xhMnymNH2ksPNjjv5jZcMvV8e3BQv7G5VVGZEysosvaOSM+p AB/DF/D3uT2wIH2oN+usQr2SxZGWYb0HHWON8be7F4D9OjzgXSR2oBMx2A4H 7YC3ruQQOxzKKgwgydCj46MiZdEjz8BXQdSXn0FHz/yxPgz6BRzUYRzoKqnN Rggb78qixQpJIhlPVBhdIE/VGpS7e2vXn2Km+qD98LJVpap0JDm+DvfhF+ch n4tKax55oB95Yr52w7wIpNxvCUxIGBIQEdYzoJtdnjr5DEfo302gXlpamwfq AFjfO7W3Zf76LN3G/s4ZOKLmjzoxfIOOT4+r6vMbmorHxvr2d2+R58buxsjM oGGoZ3Fldm521NSrUjbIhHk8roBASkDh4wMoSSHkRBQjJSwiHctIDcHG+vkw HfJrJZdIJt3vNJqQh7xRo3iD/zGrLDUti5MKpbD9VB0WPlyrBQrfEjErFDn3 kzi+NHkXQzgSyhB9Y0fMkGalZyc9diL94EL7zvHTPNI/vqUCWPLSG4dm4fni yPj0hB+cyQD/cFPE9W0tZ+cX8ZkVX9kSoLquLtR/2+Az8soSRbL/xzr4ey/s j374bz3CW7sa+y1aL0KMM4qzvDJ385No9sG/Ts/O6bFZwZR4MlfAiBXa+3Me OZBgaxUdaKD/eo1r6+pY25iyjJqurjZurtcnZsynp0sIFrq5WfsEUrrZHBw3 deg7gZYM46UNP2JCRb0WOZ20tFlaBtV629ndNg1oF5f/slijn5Dzi/OV5TG1 phnP4Sdm5oJ1E2CAxYW+wjI5lpVaUlm5tT44NNQ9NWlYXTYvzfcPjXQk5bED kSqEnLdVTdnjE9rZWeOAuRUgHyQ77JPo6C5GGnytoangHVujwtzXsrQweHry nnmsRVU5MKRfX19CaIv03XXgy0ad0mSEuCjBhx8CMIXF3GoyNuh0dUW1WewM vNagAGux0VQvkvI6VXJDz0MLEkQC0CkHy3F5lai/t7m6JpsezU4RsvOLhSqN DvQAgEbj47qxMZ20qLRCUXN+NBGfIU0QSve2hpcW+oorKgeHtNdXXzqFzk8L mFi2ttaQfTBKHjACPaizg0Cj9JL8WGnmMWydm15cWNlcF1cUPwv2ehnqHZEh MvSPVzZonINjFM230ZtLS9MVlWKAeSagWrH9CJPA7LRhbKSrW1tr7u8w96tG x3obW8sgenYxq6Ja1Ktv0HZVTcCVSe/GLqJOrG9vOZNDARhzJoU6YUmPnUlW fhTbYKI/mxWXl943OmwengEjjp0ks/Jk/vgW7xjE6zFBycXnF18iccrPClys 8mpqYdoWGxDExsQK2I7EYJt3iOhhqho28A0+yJ2CBgDpDR71lhQMMNILtA85 NWb34KCrT2UVjAZo5GXQLRSxQuHvMMnLQMoTKEC6+H7EdV17GSnGlwX72sDG Sg6Ny6QkZjGI0T5tWqRu72fVdihi/+ry/OJM2dXiF4GzJ3haY3x92OSK1nr9 oFlQVIGKjCIlpriRsa/R4S/e2bWew42xCQ33pPkFRHiFxvivbDzka/q7y/HJ 0Ts39M9kff7Ocv3w3eX52frKfL9JLa+WJInoYVzPAI4z0HmDeR4AHYENICJc nF8wF/K4ebMcgyJdZXXZv/60P3NdyBd2D3aq20sZ6ThifGD6T1apQwK3oNec qOQMmqKh8C9nuf+cIJdWqaynRDE0PTVRqQXfO7HIvEyXkOjvHSmfq0Rm5UV9 6QGwE+1rO8pzN0pbR+3UZA9YhQEc4iRmbq4DCHEkKSgDoOVrO4KoUA6eqSZV W2R6dmZJsV0ozSqY4kJg26KpydLs8XHz/JzlXSrKZ2V3b3tmfhwZ+BcXl4w4 sS8+4Y1/BIBGL9yZbwKiHjkQ/22D+7ct4Rt7IiNeEsbkVzc2gWaMT5sHoIl6 CwAhsF2cL19ewgYlBCndrJ+cLu7uzaj0HXv7s9fXGwAsrayNU2Okt/FF7wNZ /+A78V+Ty0soe+7sdHdkpCc9Ox/DTGnvbN7ZHNrdHAb6vrS4TG/o0Bk6MqSy yQnD9vrg+vJQXVtBEBfcZ7fQaHdftnNBTfre1mS/qRnmRPoEGvmkKekORxkA +NErjb0tQDWZWZpWm9qRhpVXS3Jlic0tRRBVUbcC2t6hL426StNVde9oir7e ZnN/S0tbcZQAj08MhIJqWotShIzW1uKPebON+vqqGnFjY4HJ0NirV8ors565 kWx86dZejCfOFG1P+9a6pamtYXSkxzygAfhQ29MWzkqdmzVtrg22dTS1dTZu by/s720UyBtX17f/Iifp7yzIBRgGzXXq1uOTMzwvI4QmMFmgCl9Hx7dMCwCE PEV5EJJ5io4WgFJcqJgXaG9bbJAdPtA2NByMbidUdDhb9K/XWFgvuNRqG+rq 8ocHO5CSuO94GiGMNDfTt7O9gJx6YXEqrzi5oDi5ra0YYuxUV+7svCe6R+I3 9g4POCK+VZjfG3zwazT6dShAAkHPUF6P/Tz+9dbjiQfamxAfyhAGklNtfSMd A6NTsmoAXqpp0gXT0iNTZH/fG1RWX/YyxNuBEOxICPocOkIS2azCAsKicNRE hgsZ7UnHeDPCnwd7dvVBCUQuROaPfoR3ziwo+sgeE2YdgnvmT7EJxdqGYf/X W1RRHaTKQb19BSaE672DnXgxnRTrj0QiRaZhozOIeZWCgVHjzMLE9S+oI7q1 t+nBCHkV6muHhSKmrDF+PwS6gZ2w6CRsjMCVGPkKhXuFIryzYhHBPvwWihv/ wRfjQaUcHsOG5Zvf2fH0l8gnk0r+5KkDYNqzs5OhIb2qvUpSEMdMQqM4Lp50 OwCBsAkB1NSwyEwyORGFjfMPj/FFmCShqm1RbiHR3vLGghsoKuN4eXn2D6Jq nFwYpyUGf44P4ZPbxiZSG/2Lc7Hdhk3ub9KjIaofPzy5rCqNGZ8EkI9DEO+F O+1zZcieulKxTKZHGN0ZRX/0hmLrFxGblgOWIa2u/d82BPdQ7tCgBqjt/7DC BlGS1zendnZnb242Ls7XuJlZP/hCWs+3HuFuRM7ERO/J4TzSmPPzi/ulaW9b CGuOogK5UxAtTRJ3dAxxKynV1Z5Uj7Q82TNX1mtfzsT0IoWXYx/AZcbnp2XJ bH05//1paCA56fx89fJqI6us7OBwDklb29qZ2juYXV4bu7xcvblev7mGbEdD E6b9/VkkhBvZLi7Wzs83r6+PPw5V/WLH+O7O3OryyMnJkWlgcG15sEevosVk CHNlM9PG1WXz+srAwlzf3tZwZZ0Cx0mtVtYcbI/lVibahr+xCwt8g/NxJwaI 8mMbWgrKqoQVNaLSCgHixnrg1UI2BN5ouyCSxu57hqaRwc4WVUl6cXxetYCV FgYU3hs4PFWjqe3skGs/ZL0GnzQ1FdbWSRHI9J7jSFNjMbWm5UX6RbxVqcvT JRHSwvi7kCcEYt3tA4QGjtPcXATgWWtrUaIgAjyTEA2FK62mvjZVnNetUwE0 2NHVMjVpGB3VmfrUm2uWwcFuZXPd3OzA7s6yztAO0NTYFMzc8svqL39pcv+B ROLk5S31/3S340oErpTwR27+T13ptNg8T2xiZ88A8jVCcjRY5l6ifcBi/Rrj b4eDUqWCoxkeLIxDGPlbO9JjyCDM+M6BNDg6PT8/sbW1tLY6Oj7WPTOlRzAS XFXWsrY6trY6uboys7gwbDQ2povZNcq8sRFdV6d8ctx0+ZHZ/PD4yJtFBAAJ YvvBBthgwamDGCkZVQ3avPK2oqpOiayREJnjgUkMJPPZybkEnsDal+FNjKtv 6z04+NsEZiOC3JeNnW2xvNiTFuKAh4KOwPXCzJCfYDq64ztyIKBi0lmulBA/ VvhbIuplsHtFc3WXafCRJ9YKRXnqT/7Rj2gdTLINxbxG49wogU/9qI744ICI QAZfvL23hZz7rhk1LUDdIPAyiFCCf0JQkUKi6+/8JS3fO9xXmwwJeRJncuhd 0RPQfkdiyEu0NyMjcWhycmhy1oMSA2AbApAANLINwzjhUd4MXy+GU1gsipVB Hp8dub5H6vtlzp+/Uv6yS7i+ZYo7NhjaZ2ZG82oyQ3ierAxCenECV0KLFFGo fAwqyi0w0hWKL4V3grkeMZmUwsqMpnZ5W5u8paWspiZHra69H/P5e7UNzD/7 R3sieSo1HpX5LnHjJ7Y0ETszP3Zxbf7wQ57SL0RunZsnRx2aal4y7ZUXxSGA 4hJCc0WzX3rcVtb4hH/NBQJIz1ypz92oL9yht4+dKf+wwj1zpRWWy8ESDN5a e7NSJfkemGjwXx9cvLFff329dXKyJCgqeh5AskXT/JjRORXlewebM4srNe3a qMx8T2q0cRDy5D4YSnv7h7Z+Ua+9wrv1kHJkGe/3oNvhk/yJ0Snf2pOfuTF4 aaXa3uGLSzAbXxzujmXkFHISRTAn9ra2V/PUl6A1aW5udk5Pl1Y3xmcWBvtH gDq2DbGI32yub0626zrgEO73gUnX1+vXV8ufo0L9ogTpImF+XX5p6f7W0NJ8 39rK8OLCEEBE68sDBWXyuPSc8XH96pLZYOxoaW+8OJoYHu4mcfnsVGFqXlJp bZGiub6uVdmlrVWrSyoVYnl1ZmllhjiXV1ObfR8gAQyj7qwAaKRLXYUYjrSa 6vb20vvfARBooLclAYzTTAJoSZ+lXW9qzy1KrqwW3U+Cg4xF2hrwc+S3mq6q +/8y6JSqznIotjDWu6xGWFkr7uqqbG8rRYLDjTolEhwFZdLplGp1hTAnqqiM Dw6orM/PlfEInIjX3jQrLyiDki8puDmfKquuEucXgQ4BnbC2DFWK7+hqHRvt AVe7MN8fSk955UE3DkBOnL8pQLoviDK7d3AQk535yNcZLG2OJJR1SMg3b7Df 2BG/tSfGZBTXtWsyy4qswnwdCCG3i3JYsF0Yxp3IcMGwrcP8X/riHztRPcMT 8JESubLrBsqG2FxaHBka7EDqfcBVcYcAOpqfA/1pnp7s7u9r6lDJpYUJuSWp m9urmxuL99dBsG8eG8mqLGEIklypGKQ8vRMR7UYNf0sJU+n1oxPL6bkKb1zC Exf8Y3e0TQjWAYd5EewDNqtQf3xylMqoLW9VphTmvIsT+xvcqdtcztVlR3wA wIQI+LHG+D8P8XqN8ftkJREIPuGCnoV4x0iSMoqlviyCvFkZm8XHxjFNw4Pu VD83qrM7OSSYHeVMwANQZB1CcKd6OeLCrIJD2UIsEu3zQc/fQMRWh4c70vJU SlxAdllKlxFKR4Iqd/+kcw28phblPglwexHi/bHJy4EQ/CzYzQqNdiVG2KLp zwPvJ9MRrIKJL1FYTByxpw861+b63OAA9BRp+nvnVxFbwR/b8/9byeHR/uXl xdHJYW5NpqAkQd5S1KytlVUJsbG+vmynEJ4HLs4/TkRj87GhPC9RLq+qUtzQ UHRy8oeUm0Qi1hQd8gDOW8HPlfRFNnpyKIePzcqPX179mUibv1bGJvqyCxM8 MYxv3wDMQ3kTQH/uDvFF3+GiZ27Upy7QJ3CCP4SRwM7jWxMTxAAJNPF/WuP8 ifH0mIzHTpB7jhmX2Ttg3D+Yh4OloZDp7d3puaXhja3J8/NlCLScLbV1d4Tx UvNrGueX1x40Ccnlt4zOPHNjvnCnRKfG91n08Xlsx3AvK286XCWWYu3FdEZF ZBeXdWrbswpLCBFp3tjYH99SabHiza1p1/BIAJBGp/pvbnaXVkd392bqO5t3 92cgcxZUnHenslk5OWeBHHDXa6BJm9tT17ehShtDEyOj018uRQMiSJjd4Nhs OEfEScicne7dWLPMz/YixT231wfHRnUz00YADAy9neGs1Bh+9uJ8/+HuaFZp kV0YNSUnOy0/NzUvNz4rR1peNj8DVaaYntCp2ss6VOUILrqPXlSq8uyCOHFu tCQvBigIVQrJHUACXzMZGts7ysJjfRnp4esrQ+OjXYJsTrUi65Px3gjIAZjq fjAS+KTP2JRXkerLcSLEBSRk0RfmTSUVAmlhPBzWUt3cUqRsyANwq1dfD97m FMTzxSyAkURSHl/EkuTHZRUkECMYX9mSfAlxayvmzNwiFCUR9AAASEND3eNj OtAtq8tmgJpU6pbsovLnbvTBQe3x8Wd5YP6+Im9R2hMCAeCxxwe+wYVY+ZGf ODK+dQl6HuzlRAqzxQGUggIoxQ4bZBPub49FP/MgPLKnPnUnPfckP3Wlf2WL l8gajg5Wb1ko53qRFMj3dWOhndv9gf7W8TGIdmBhfuT09GFQ7sXlBSsj2ZkU +r2/y1OUxxs8Cqyw4OxvCCjrsECroPAfvEK+9fB6joIsS6DNtjh/qElQLjyE Iqwxft/6Ov2ns1VoLPv07APH9xcuSDuVzSXVjaUieQk6huXFIpa31BcrZC+C PUAnuFHQtrggZyIKgU8v0T72eBR4JabErm1vutLCZ5eX9g/3Onp7wMGmFkbK mwuoqRSeMPoNPsga4+tOI2Di0N5MF4BMXofatPTUXr/LSbzfiK2N6ZzSJI2h 6Qaqenz2S6j5wNfC4qhWod4OBNQDdPQ6PADcSmZGYkAkxZlIgOkF3kdov0Zj 3xLDAALExnEsfW0jE0PltbJhc3vf8IA3mzw9PzU/P37PJ/X3uI9foHzOr3dy dKDuVDQ3FssV2UwBHmiaAKv4sJ0oicGivJiKSrFcLhyBkpj+kEEEL0fXAK3h k1ARKeFgjRBmR6ZnR6RJOGli9v1E11sLUhYnTkASQERqDKTa0RfoaLt5F4Xe qdMFEih2fvR3pTQe2o5eeUJWI7C9RdEfOcCQyRX6/Lk76Z1lifa1PdHamwVw C5aTPrc4Dtd321hZHwf4ZG5pCA6W3oYdXggZEdg/Aih4emEpS14nb+q4uTdm Li+hVrV29T92Ijx2pll5Uhn8UGJKACrKyw4V/MY/wp8QBxb9cBbfMTDimSsN Dp+IsvPjgLN7YGLR9NT/fBEWmZYNgNDZ2dLiyujIZF9dB5gldi8uVoBavLY5 QUlKA/vXMCJSG9X7B5AzDiAlmASgc375b0EbeCt55W1OQZEt7Y07G0PIsgUW rNUlM7RszZkAWALQKEWcF0iObVU1nR9Ol9fkY1jh+Egihk1EMfDBDKIkL6Fa mdWhlucXJ9cqpQCxAFhi1Nd3dVaWyNNlpam5ssQkASWOTxTmRHaqK+6ADdjp NzaXKoQonocP27G0LlOrrYYQS15Mt7bmk9lwCPQCx+/skJfKBT3vjgO+L5RG pYiY3FS8sr2wVV2WmEkzGJT67roOVRkYYqAZWk11bZ00Kz8mTXJb2wJJiMgu jM+URiYLI358S9L2tFcrFf/xfQiAzdsbQ/NzJl5qlnkASmQDPWPqU4PlPi5d Crqiur4OcbH9XW70zwoynGuadIQYvjcbD5kvABzCB9kHk1960K1DQmxxtwYN AELc6FiAVZ4EutliA6wDCT840f9tg38M8YnRXnuztd3NC7OG0WHV5Hj37LR+ edG8BhMufYCUIIPSAOjP9dWh4aHO+fmJB7M32L+4gMonqk0GhiAZMafYQola AbYAnmED7PABbwhBD4vX4wJhQumgl8EBYTxeo7ZzZWP9r+vU3yJILxwdH15f XYIO2N7f3dmHoPj5+QkzLeZZsLcPI8wW6+9CQb8O8xGX5UWIUp+FeL1Ae7+l hIGvZZbLIkT8u6OdHe+z0+NswlFI1ht4zZdLJqf6SpvyPGmBNe3Nq1uwQvch 6rjNU/uVz/buwS6/ONWTGWAPlc39wIL0GuPvTsOVNtV3m01T8wsAFD32JjwP JL+EwrOJtmj6W1I4+A64uYp6GSqCiI9j9Pc2+TDx6Bh2eYPcEeevMUH5L/8/ MNh+CXLH14FkD2/vbExPD+/D3LALq3NJ+Vx6OpaQEBTC9YgWkisqRXV1+UtL Mzd/zHSHWJD6Rg2E5OC0XG66hA2UVglMVRcvpN4HSEiZtlQRs6xKXFgu4PEJ K2tfrjkCYaWOyxI+cgp97sb4pGcN2V56UF1C6KkiDprKBG9tfSnP3Yg/uhK+ cyT9+I6G6Ikz9Rt7YiA5KUksI8WmBTDjssrLBsb6dvdnARq5ulpD4qVvrjcM lp5seTkxIfVr9zC7MGZL9wdpL0AGRmcIUZKnEE0K1c6PGS/KI8dk2ASiX3iQ n7sxrTzZX9kRHAI5Ta0NFosWrIkZObJgSiJAaN85kr99Q/zemazp1Vxf788u Dh0czcVIsiualQCPXZwv68wGUmK6QFYE4BOYD9p07UV11Tc3x5vbU2097XDd 3Znjk79H9dK7h6qyofupKyM9K39teQBZv+ZmoFLvAAYMWDSbq5a97ZF2tfKJ Oz5elD06pjWZmqoVmUWl8WCTlcSKpBBnfmomlLINHunCkhQFVGmrUN1ZATAJ 2C+SZ+iM7Z3djdruOjDpIahG01XdoSovLk8jxgeiIt1oqegKhQj8PLsgrqmp 8JPoCKqt1qPs1tQo6nKAliGvyjTChdXAv4rL0vgiJic1PJjrHiOhEhIDu421 G8tDpt7GkgoBwGlDA+1VNRKIuhmAoqxbJtsPbbmcWH5kZLIYgPwgcsLCfN/u 5pAkvzi3uGxncwjARXhBNy/N922sWtZXzKXVysUVJG32Sxybv1zuJxSA/S7D oA8+xZcc68kkvA73hxKjCIGuRKqNH+e5X4gtPgABJNZhAdhEjrC4zDoIa4f3 dyXQKNHSNwHc//EilJNUUNuiJUUkyEpy5mf7FxaGTaZWva4ObL29jVMTPQh9 NxSzvdC/umwZHVF3qava2yvPzo7ft+peCw0DI540ii3eH7TEBucPTm0dFmQT FmyDQdlg3rucbMLBh5Bn8KV/+HMPyrdvSEGkjLtL+7sLkoY/v7JkjfEP4BBo /BjokkM9y5rqDk+OPeh4XGJUMI9ZVF9zcHTYNzoMFp3TsxNVd3N+ZYEdNgCy reGDAMhMykoCA3B3Z/P0/NQybvzZ8/7ynG6kSkirTvMs2OXHoLcPABJMZRnw OMCRkZ4AvpZaIPKiY23QUCWLp/6kt3hqnDgeZsIM8mcTwDV6MrD4OKZVmK91 mP/zEG/wSW1H0+TCHHhEAXT8L3Tk/5Gfl4uLc/C8Tc+NERNRxOTg0tJ0o7H9 5g/DIYhqZhjsVnTIpSXJCWmklo6qkkpRdBohKZMuvMeMBKAR8rqyOr93uGsc +kTFky9N6LHpX9mF//ieUOgTGwA/1l40FImBIjO+tiVGJIryS3IdApjOKKiq BUBHLz0YT+Fqtv+wwv63pyHfe+B9aLytnWnIlPQwuX5DP9Cj0ne0aFVdvYaL i324FWD2OEWMwHUt+v/2Awros3dn/9ae+LUd8TsH+jf2VCcUC8diSIuEi/O9 zaomUlS6Q2DEv20JYDp97ESBSCNdaLb+7KGJPnCuiVnLxOzAGwxjY3tydnG4 u0/zwo9sF8pYWhsDWGh0st+TwN3ZW5ycG2Sni8CHK+vT2fKavQMot+7LxLT3 Bajnqu6BwbG5g/2V8anR3P+PvbfsjiNZ1wX/zdwvs+bOnXvPOfts6Ha37bYs i5mpJBUzM0olZmZmZmapxMzMJWammshKWS3T3t7ddttu57Ni5UqlqjKjIjIi nngxp3xxAUpgCmiSqqsxI79geqqroqa8trF6FWIL4wEJsX+zJYHWYPkGM7wC uH5BwkBQ/H0iAxPSgmJSlNogqBBZ0uZql8aleLe2FgIOM9BXOzM7tLA0tbI6 OzLS3tFWPDOpGh5qCI4RB0ULwQvvH8VXRnH6BmtGRhqbGnM/5P4GvlhVnZaQ 6hsCKcgUgwM1cMTIpbmevNJowLIwCju8p6Md3zgqy3t6un10vKm7tzw0VjIz 3aFeG84tigqJkWiNAKERB+r5kBsxNFYam6JgK2R/NWIDxg4489HeeGtHPU8Z odbKjh5S3gMCCcgS4EhS/5i4rGrNNxIi8l/i8et6fHKG5YQZu4ltmExTOLoO AyxYXDuKUs+VbkLFgKVWn4Bx43uenFypeiefWEP+Sjl1JavrOxxlAhh6dW3D rZ0DRWXlgwNNra0lXZ3lw0P1gBotL/6aIRfKITsGUaOurtrp6eGHzCaQ0aZW CLyyvp1Z3MiQxb1wor0ioAwJBF03sjGGY44Tm1OYWhMXHCxTAjTJmIIzJhOM SYA14fTdGC/s2D/aYsHJ4dHJN+po+MBMHgRr8EbbLyUeI8Q1dtRYc2khyaEZ +dHg4uTCHN5T1NbfU6NqfXyTgtpSnJxjoTXwhnLaMrC2XJIxDROYBLYMLVsb S9okep/mBYYrObEwV9BQk1iSbUZ/hyAxsNZcJ5I3QTUAKnmztrVgTmW8dOeZ UckMPyzTX2RIgQI9GUFyJJwxFTLBMqHhLVkYKzbGgkmwZBEovh7p5Qk51VBU pT/HuPuygMfFweHOxPQgLD56LMW9uroUhtPxHg7ZxbGHB7u3nyGR7qOaQL25 sDIj8ycWlaesqRf9ogU8fzzYxobfh9SWAl6UX5IAVpbSqvRvYkDDzTU+NYhl i55C3v2CxybZb+nanlnxDZwFbiyuoSvNAi33Dk2wJymE3pEmblLATHTtBVAA E3s+XRFWVFs9vzx2e6t1GYMSxUKatccRrbUqtgON5kiraAPHrYPD+eurrdvb SzC1qvomwLwanpT73JoLGT5Z8Z9a8XXsBQbOfCJfGJ4oFvsKmTIfljz8mTXv 78bMZ9ZcmJuBI+BpRijJMytOk6p1YXlsc2tWHhkbkJRyeLRkx5IaYgV/MaSA 9VWjuaxuqxf4J7Z09t7c7NG9gwIS85ZXF45PD45Pvo34ZqDvLi6veF6JfzNm OFE8e3pbDnanZ2f64NzugAO0qxqKK2tWlkebWqsBWRoe7ujqa3ThezC8A0kK X65/SEV9eXNHbUdP4/R0X1t7cUiMCI4SHxkPSUHBa1xWkQTF/esoqa/Pikn0 9A/nhscrMouiiysSO3sr0orDcAp7otKZ4OnE8scOjNTVt+REJXmkZQVDQqGO 9wQHULUVt7QURCd6+IdzMvMixkZahwYaOjpKJiZao7O9HQSmRKUTQRs/PyRV 7pMgEIUywuM9VJ3FG6tDhWXxYHwlpHpHJXkGR4OqKhLT/YrK4qOTPAMjBOXV aZW1+QbO7Bc23OiUzP3tsZWlAbo0tE1Vv7UxAouP1lcH52Z7pmf61lYGJie7 ahtq+kfmbr5W/8SPx97hfVTGW2hvfpZZWXqnuY1Krfj/XhD1UVxzOlEbuhmy XXESMtACbyM81ZiKM2diX+Gw5jhpVWNfXlm7rjPHM/o+UkpaXkVgRPT0ZOvM ZOvcjGp1uX9TDflIwtnfHggSKIvzvT3dlXNzUHjeq8vTxy0J2LtHaPb/+oUA 9lM6tsJXjgILnNSeJnPmSrBysdal6/X6S9NypPuCMyBh9IludjyKINy3qVf1 x7fn5wO8eG3t7XUNdZ8c72dXl08uzhWXg9HUqIGipDbt7EMJ7GBJzvL6akRO Wlx+hiTU04wO+gtjyXIH/ahHcmP6isGonBptvbuGJ6tPHL35YH89uyLXiPau qx3OmuNqxnCwYmMDUsEsqqlq6/nBnmjDtsytTmT6e7wkuMBczorljpI4O4tQ jgKUu8wRI3dESZzMmW7SaF9+KGltcwVWDH2qan+30HbXzcbGSFAkv7OnQfPa 1wlWr17fXE/Mj6qGWjZ2YSP5zzjRwe/2yupcbkn8wfF+20CTFVvPO4IDZvuo RE+w484qiF5em9vZ20zNDoFDIMKZ/j5flT4J7p1SdxaoIvFTy18jIAFO8pPF ryZJL+3vIyD5hsrkgWJbkuRnS66Bs/gXG56uAyR6gqy4rXk876iD4wUt5zm4 vFw7OlneO1hQb00fHi/eB2y8J0hbUHqZo8WJ2cG86or4/Pze0fHzi1+D3XX1 trjQJNr0agJbvBDPFXE9xIoAmSxAYEWiPLfhPDHn/mjG0lYMkDrBazEXxNN+ tuA4UX3WN6aLq2tnl0YM8Nyj48W4nJy/2RL1XPgMaRRFEdrY1YwW+/K8E8/P Nvxik545M03c5CEJJV+sG/59wKr8rZ0Da7w3gRfQ29cCuRqtDq4sD6hXh9iK iNi0nNXloeND9cH+6tRUd1B04itXLuBFHd31Laratq667r4mQJm6ehu6+qs7 e8oTtJbPj3PopGUHd7aXlJTFOVF4BJ4oOz+4oCS2pDJharKtd6DaI4b94FIK jjRft8BESWNzLqBAUEil7kpArt5wiFOVVlWnxaf4RCcp+4c7Tk+P5+bH61qL cwoiVD1lFY3pSQVBrlIrrAfkoOoqscYorO1Y7rlFiareJo63d3gspFPLyk8o r0pOTvfvGWzf2looLIkOjBTEp/osLfaXVSViWGyaNAws4ke74yFxqaFxqasr Q0tLo8uLfQc742HxKQExOUf7c+BP0ERb6uGmtpavMKn0xwMevF6JkaCcnkNr 5cn5mSImDK8UrW9vJuc0/GRDMqPjIU0WDeZIaEs2pAQxJuNhjmRARP9oRRL6 pmYUNuK44eFJZRcX592dpdMTbVsbk+tro2otKVqc75mf7ZqcaNUGjRx4LJFb XxlYWuxdXR7cVE/C+YiPjs9i0qqcaYG6DgI9FM8YyzEl0W05dEsWwYZLMKa5 Aapm8n5vd0ig5CikJxbnjsxOtfb3FNRXn56fab4Fce5vxsraQk1j/sMPhBl7 e38XwVPwDGOvS3AGjMiYhnUROeM97AHfMKai6T7CkKTgzPKC0ub6jZ1Pn0Zw Z3dDGROgT3ayYD742WG0qeLcLdku4LUxpGCMqO51na3X11d1qq62/uab68us 0izAjgwo7mYMLEbuQFDaw4lTweQATpzFDu4SJj+EQvZxDUpTwlGSEPw+QN1+ eLhWUBoN9rap2cGNraVXVxdX7wtP/ceMoIenrG4uRWT5B0ULoxM9AyP5vqGs mblR7Qdu34pq+5UD8g4+2ptfmvcPlxu7QgnXYNmRK13kyhBBeWCttGbYdnxb MsPInW6LF/mFiYsrCgorqgFHemoFSW+eWnLtyV59wz3zy+NbO7NzSyOziyMb WzPbe3Pbe7PrWzOrG5OAKd3dBx3a3tmfL2uszq0qq2ipjc3NduZ7w5W5uLoq q+siCcN/NGP8YMo2cOY7koUuNKE9SWiEEug5CoxcBD+ZC17aCcB1fad7XqTn zNax5/1iwweETccOIkgohl9MWt7a+nRAcrIBlheWmG3gJnzhyuJ6huUWl+q6 8l9iGDrOnB9NmXh+kD5K9MKe99yaOzg+p/mmbAhh+h0UV4SiKefn+tZXBkfH VJA18lJfbUOVnqMIyw1obqs5ONi5u71oUal+smTroe99T15pc9m/RLOfodg0 T7E8kt4/3tXT1xj0KJlOcLQoNlmZlK60wAhQdFFmXkBShl9UsnJsrHlutjO3 MgYtt4UJEsXHFTAc9foIZAjdU93eVpRbGFldk65qL4ENswFTqq/PKiiOKSmN b2wqWFwYLSxLCIkWBUWLahsztdYsQ/G5AaIQmiCQ6Cq1Jnk5uYgcXYXC2dle vNyXJOEkp3t6hfumF+Wd7k/nVcWFZ/q0q0pAbQE7Gh9vnphojUqUeQZJMvNT N9f76ppqaJKQqamu/pHxDfXE9sZwU2vtL7bCianx7t7mmoYq0FwJ6Vnjk/13 37IECa755s6OHYdJ9pXOr97HFksqybfnU0fnJsMTy3+wd4IcxGgQR9J6rj0y +KFqTbiZuCc2eBNXhTQwzZHiS5VEj03OAJo0PT1QWpZaW5s90F83PFQ/NtoE 2NEyxIUeCFI/YODbW/Mnx+AFu37IXpGUV/2fJi6v0JCJESBjFlCWMTRkDUXH GNMwZhALwj1iRJCRNpRlg4421Rq9kLwkND+FLZfiKGD4pcQeHh9p/lwE6T6u 2msD24frvwZbu7upbq50lbAMyK5GVIwlC+MkdEHLHQHZwModzJkYAzL6OdbR SczyTowem5vRfIr2gSuze7Bf3dFM9JKipBxzppsZAw13kwXLzU5gb8VxNmdg LJg4Sxbekom3ZOBcBMSg1Gj44VMzI/ZcgpuEAdivHc8Nq3AAkwNcAEFCSVww Mjechz1aZhOY6jG3MpNTnfpuBDwE/xxwR8+tTPsly5OLY8D5/v5MZKIiLE4G trchMaK84tjkzKCFpSltSAcoMdYfH8Tv3iSpvwXwIkihVpvV2df41cYS/Oe4 vr7OzA/BsMXGKAHXQ2KJETyzhiyOrLBC/3CpT6gUcJKfLe/NkEzQNCMUTxEg Ss4A+/TBlvYGY5T0iTn7uTWPKAyub2tt6WyfXRjdO5hfXB1r7W0tqCmvaK6t UzVOzQ9dXqnvCZJm6/x8dXtvHrCmzZ35mcW5+WV1beuAV1iumbvHf+lT9J0A LxIT+J5oluyZFQ88HdC259paaW22QT3FepA4S1sgIRLzmRWDLAwk8ANfaJOh /GjGwnACVL0qfQzvpRNXx0Zg6C5gKoN8w5OMXcUvXJn6OK6OAw8QLVD5n8zZ /21AJYkir7VJDb6hLtS+cXfdA1N/NaSXVpYuL/VnFxZzPSOzi6pLqyoAWQIc yRgly6+ErBpqWtueu1BfYXivtPmbjIm8X1xZ1lQ+QSwIjfUtr0ps6ywbHm4u Lk+ACVJUokdyJmBEQUyZzMRVAJiwV1jC5HSvqrscrJK9Q3XhGb6SUBpR6YyW 23GC8Nnl0XnVMeurQxU1qeCL4A4ZOSFtLYV93VU92ihGHW3F2jS4lX3dlbU1 Gb5h4oQ03/LqZP9IXmll0sJ8d99Ic3Cigu7tJgqn4z1tDQiuJTUVueWFDkx2 XLI8MSOY7hW4MN/b2duAlzKKSuNikjxjkr1mZ1TqteHM/LCQaElYrCQ4GlAm b5YiqKG5+uri4PLycnVlcGmxz4nqlV/RcXV56Mr0sQTLDMnjP/Wobd3jmkcB uL45wBPO+fkVTRrz1MXdjk9p7L7XSZW1NNgLaCmlhVHpJboYrCHV1fxxBJ43 tSeAQRlgKZZYJZ4f/sScZeQqKyrJbG0pGhnuWFtbOD093tqcnZxon5lqV6+N /Co+glRs/Q0NhY2NRVNTkK8uvLnoGBhEK7jWXIIR1d2Q4mZMc7fkQK795gyC GR0yMTJj4M2h8IloI0ia5G5AQhsS8GZkujGOaUwhGFKhizo4R/ATNN/UePxU gF/IkemJiKwUjxhvtMyJoJXDaJmGvZMQZQFZa7txg70mp4eOjz+NRwn8LqUU 55hpdWQGZDeYxwJGDZiSDc/RguWqzYSCc+ARHXgkRz7JiomRR/rn15bD0suy +pKY3GT/+CBdgqstF/PAjh5qDtgR3tMRq7DjBJPEEUxnodns8rTmtWkWgo/B fY6/0Q5brn5rX8P2znpWQTjsJnbvIAa5sUCe9eqNL+mLDepZWZeTnhvR2ln9 RSrwSQC3XltnlU+o0NRNqGvPR7PAkqpVsVlCMSFlftLQWChM8XMbSI6k68D7 hwlbERjV0FRg4CwIiU1tUzW4MX3BWhObkT86NVTdVueflIyWeNuzZTiZL2BH RyerWhukXTjHx929nTakYjs5W51bHovJKfSOyHIgK8V+sekFxX3Dw2fn1/Ut jULvUFeGz3NrLqAxD4o/XQdI0wce/dIOSgyn5yjQd+KyZH5xaYkOJKW+k+iZ NfepJecHU9bfTSCzbfDFp1YcU3eZE0Vp5i5zY/i6crx03Ng69veed68cRTh+ WHVz3+b2t+G59l4MjM4uLIw2dXROzq4VVamOTy9WN3avr86nZpd394+OTyAl RU1L41NnshVVYIDjvnBj6mM5eLGioDhZ1VGQmh0YFCUKBiVaBFjHgz+mNoOt F5YtBu0MmhTHDVxfG91cH1GvDo1PdfjGiTm+WIzcDufhSFDaOwjMeAGMxIyA 6GRlbWPW+FgLoEPVNek1Nel1dZl5hVExScqkDH9VW0lPV2lQlP9Le55/hDyn ILSlo2x6unNzbWR+vicq26ezr3xysl0SQZNFCgeH29EiuTKYl5UXKA4Oic/J PNmfpHsFvEJz/SI9E9J8enortzfGpqfa49N8QIWr6zJSMgMaW0sWFmfX16Do o5vqyaPdMY+g2MQcKHjdyvrOzxYce5JvWkHj6NSi5tsXTcAT5sXlFVYmeY52 AOtaYnHe0cmxPDbYKyESJWUHpSdUNHbZs/h6JBdASx7Zk0BCpEfO9WhzGpUu j/KJyLMlev1sRuF7Jx6dQMLwyYmuuZmuibHWpcX+2ZnOh6CRsLVbX29VVlZw RUUqlArh+koSFWTFJuoRUUYUtJOIQVRKUHyRBZlnhhW/dCUZkNz0SSgdrNMr vJslnWZLF9jTpVihjz1T7MwT2nEgy20zKNSP+ysiqnMESjp/83kyI3zNgN/J iOw4jJzMCsTi32QaOE8HN6mjGQOnR3QxJDptbn2yUBXgXVpanV9YnimtzvEK 5ZE9mMZUyJDeku1qzXV+0IqCnrXjkhx5RJSI2jUy+LjO00vz5gw8eK8sWSiM wv4tjvRQMAo7d5kN2Rs1uwyHCEYI0scCtvwHLSaJYoUkyKO1geAehxgCG1tw Jb805u7u6v4bX6qqr23Cv117M7j+G1trsUlSrqcEinFkL3gFxX6EA2VDIhoX moglF2vjQwoMXVm6zmSyKHh/ezI2NesvhnQsxz+roNCW4AHIhiGW/zdrIi8g rHOoc3N7RhvvCIoSeatNhXar9V/TXtmBoyGdnq2cna/e3qrPz1e0lAnuyuuJ 6VGhT+z/0qE9Mee+NyscfPEnC94LSKbEYcvDfMNTDJzFz6y4uvZCwJT4XpHB sSk4rv/fjJmgttPTXT29zRU1FblFxTRZ0DNbjo6tAHwSfF7PUTS3uPple+F3 4iPnxr6xKQuarLahLDg6wDsi1D/Cv6Wj4fb6ZH11ZGKitUNV3NJWmJEbClOj sFhZGLQrkYl9RAbOvB/NWCKfqMWF3i310Opy//rqUO9AVW5FTE5FjCySgZHb ukocTakYnwhflSp/eaF3Y31kfq6rsDQOkC7YnEkr/pWkZAa2tRaCEpmgtMJC Ea7IwpD27p6djdElKGpTn3p1eHNtdHtjeHtz2Cc2wJzCo0pYZRXxJVV5hnj+ xKSqsrH8J2e6A1OUkx81N6PSZr6A4vNMTbYCsrSzNQ2W7E31uHYXDsmWT442 cwqLiMKIq2vIuGN0clEZlr23f/S5O+WPAWy2t76x0z04tX+0zw32eYFx0iW4 SCKDBMHhpjQcPUBhwyGLIv1yKhqsyELAT8yZj2xuId8x/CNtF1qfgCZLwlo7 xxo7hgnCCKIgvKWlrKYmY2iweXqqd2V5ZHZGBYdCAgUKjqQeBV2gUpVPT0PZ TMCrmFNdIY4Izqmp6Bsf8Y/NscYrGfI4E5TiHyZMS5ynI80HL/H1jknNLm/I LK32i0+h+SqhuN9a2yQoBQkdUvyRfWQVrU0Hx0d7R/dJkK+/I10MzDQmGP4Y d5k1GtqAvCuKcTKlu1F85TXtjZeXnyTyP/TQ09Pjhqa8qNRAsoLB9GY5CyB3 OTgohJnWhU0rhMSgRHSCB8dZQMHIuW5Sjj2PmlVVCt8lJDNJl+BsSEGTlBy6 nzsgQh/iSESls7PQLCYv+D0hLhF8GPBsPzzdxwskyoKpEVqp0VvZYMNipYVl sevq0a9h//fla/D7oPXJvaluyHEgMX8yF1kT2a4c2nNr/gsbgY4dDxYlPbN6 FDQSxTLGkKT+EZvrI7Gp2X8xoBs4i/SdRP9tyHhmwwU8SuqfUFpX6xEVR/UK HJnu29lf0EDU6ESj2Ts5W9nanV1RT2rd/yGadHK6fHEBBW/c2V2vb+sJTyrH 8UJ07JgGziwsR+xKF72bFU5Hq+x75cAn8sUSH6mJq+AnK/rPNkSqNKSmoXFs rLujszEpM5frGWHsJnGheYXGp4GC5fobuYifmLOfmHNe2kPRv3+yYAE2KAtI vL39BnKL/HP8arzw2gXm3q349lc7h8Pjk6X1zb7epva20uurs4uzw+sr6Ifv 7ixtqie21OO7W5Mba8OA2ExOtLe2F0cnyWOSFS5Uqam7wsRNiqJ7p+bkdvc2 T052rq0MbK6P7m1OHmzPRGR42HBsHDmi0ppS8K/QlHSPsLDs/IjYFK+34oM9 xHWMTfaKSVK6McRPrfj/bUhPz805OZhcWx5YmO/bVA9vae2F+N5hHN/Qgqqi NlXp1FQnWuxty5RMTXW5iTyfoRiWFG5PV83x4Rqo/IZ6Ynmx+2B/FbL+u744 2F9bXR64ub1+aITims6x6bej2d/c3H5DxmYfAscrMTKlPC6j8j9ekSJTKo6O T32TYp+jHfSILkYkvBmRZUDCOIsZJjQsSsr0jEqwpcgMiFB4xgctG+BIRiQC JEqCogHgoBDcBMoLO15OKZS3a2l1c2Nj5fz8ZHtzFnpJNqb2dpdnp7sX5roA NZqaaFN1lNTWpC8uTmjeNxN29k+Oa1t+dl7d0Tu2sLpe29ERkZXplxzLCvJ0 EtHNmFgDsqs2WBNGax8FOfvbsKlOQhZBKab6yQFlEoT580L8A1Pjv11N6Mfj 3sJkdQbwB0eBCVpui/d0fItaoMTOTkJnI4qDg4Axp7U6+/0SGHiWAIw0taxA EO4POLYRFWPymh2BYsHEWbHwNmyCLZvA8GLLggXeEfLe0aGtvd3FtRVwhGve 3NP+C8YOJWKkluRgPVCwTu29BIng6eQisihtyvv9jfb9QLtYX19dX0XnBSuD GWAifTeFB7QbjZP5hnKGRuHkMn/+UfNZAb/YV1eXfO84A3c0WmZH9LZ35Lq/ tOfCSdlex4GEEou8sBHq2IqNXLlmZLAXZAv9A59a8nQdBAKvSKl/jBPF2xgl 0XXi/U8DzD/syf+woToxlcY4YURGZnpZSVh6el5NeVtf28bO7O7BfENnU3FD Vd9Yb1VTmzs7GDyVKAgj8JR0sdgjQOodqpD4SmV+EmOUANbuPY7IBAXxduBz FRKOQuJC53GV/IBISXhCYHtHaWJGyjMrSOIBUSBzjr4TFDryv/Tp4Py5NWR0 pBU9sQFHyiltUG9uHx6d9A3PRKdXqDd3Nd8+3f2XODjYPT4+ePhzb3dpbWUI KsuDLW0FxeXx5VUpldUJQVFBaJbUlSGJTUtbXuxfmO8F7GV0tGNsTNXT1zw6 qgJXlhZ611cGh0ZqvGIUwyOqgqoSF77chc2SBfAj4yXRiR7xqX5xqd6wZvxh mxMeL09M941LDUTRxHqOXDemb19/S3dvU1NrXf9Aa2d3k09Ygsg3srax8uRg YndjrKy2AiXw+MGBUttcmVaU88SRakrimxA4xVWQy+H5+dHSfJd6bfRxiuqr q8fpht/ToX+CXoZp7+Tsig3BC7zSdiSfvxsxnKmBvYMzGRUlRlS0IcXNjIY3 wpMNSVgLFt6Q4m5Mc8MppA50hQGOYKo1voUiEdEgHzdDPAkyqGZiYI6UXVmN ZodSpdEP7XR7c3Vzc3VxcTw/1z8/27Wy1N+pKi0qiu/ubtzZ3dSG4nkj5s/N 7c2DWGBoaiIyL1UWE4xW8BiBHtwQb4KXyFXGsRdQwbILZRWhacuDXIsOeUgB 4vSK4OrA5XrERGeUly6sfUvB7X8z4B+4ol6saC0qacqTRrG1fhBvcAxHAQqr oMui/DjBnmNzU29Zev+e597c3vklRbmIaIYUtCH0CkFHwJTgCN4mWrWsmfa1 0UqWcPZ8amJRbnZ1We/4CEzSuoe6IzNjV9ZXRJF+djwLkpczqD/2fbo2PCBI YvOc6tSFtbnx+RHNd9C5nwo1HWXuUuuQOElkwtvsKDJeHhwj8ovkJaT5rK6N f+ma/qkA3k/VUDPND43ztHcRuAGC9Mtric1Le8ETc64eimpFoug4USxJNBeJ kxnT1o5N8I6IMEcrLDDy5tY6sFw6U70tiVKvqBgMx48qDn1izjIniQhy//D0 9P6x7psbOALSzsXF6vrm1PEJ2F3uTc8N17U07u5DzqoDw43TMx3hiRlollDq KwUcycxd8Nz6V4L00o7/ypFv6AwVIxfBS3voXzi2hCKQCpTCiHjPmrqiksry +bm+pKw8C6xIGhTqERxn4irVtYeiJAGOZOwqo4gjuF7xgBSxPRPARV0HoV90 vnpzT/NnH6Rv0gZoXt3ehHRSqxBHGkjNDvIKZoXGipVBAjM31o9mnP94RX9i zgad68rwTc/PHxxsm5/tnZrqik/LVgTGinyiwDZSEBCC4ovpSm9nFkMeyEtM VWTlBfpF+XpHhjU0FcaneAdHCoMiBXAEbDCEoxM9Y5O9Y5PlbLnkiTkHipbM 9S8oLVmGVDaDxRVlTW11Z0dTu5ujGfn5BL7vLy6MF24MrNhL1dNgQRPpoqEk UDZ0fmZe4s31JfgJ+3srgCa9/lHvASxG+2Na+I8E/JuOT84UwRlPLblmBO4z W9rPFuzY9OqqtjYXCVOfhAKrmBGJaEyBs5vBabwYdjSpMYEGeAggTlD8RhLa AM3QseMaE0mAI+mTXEugvDya6ua+84tLOKAK/MSzs4O93cX11bGlhb6e7oqB /ppOVQWg3JoPDBwozcjtXVNPZ3B6IjjuHOxXtDZhPYQOPKYxiWBAIBgRicZk /L2m71e7cZw2aDMW/FcYHBaUlsAI8OwchuyRvgNdDNSMmZVJ/FCqOIJJ9XV/ l13gPR0o3s78ULIihusRxzs8gfY7v+cNfx3pRT001jU3P1JQkUGWUxleLJKC jpFQXQQkOGfce4suwYUb4lujaoFvdQM5mEN9NDo7wgjAuEmtucEkqq8bRm73 IEoCJ3jIatEJLbPhhZB5IZTWfjiAz5++c3874D5Sb6+WtxaKIhiCAALYgb4r PopKUMhD6a4iy5L6ZNAbd3e31+9z+Ufw7+N+fHknSl3EpkQFWc9RrM0eAvm/ /92E4Ur3o0i9M0rDs8pjUVI3ZZzCCi/+mxFT7BeB5wX83YT1zJqXmJHd3Fpr 5i4j8oKSMnPDEnPceL5qKGb1mVbFdqhVq22/Dh25Cx0hp7Z9bbhICHsHx10D 08HxRa4MhYkrJLN6S8UGBxwAx3sXNhstZXLi6KFoRii2qassPbeoqbU2IimJ 5suw47m5cz0s0IpnVtyfLTlPrbha2yqBoYv0RzPm//0U/YMJwwLrGZNe+eWa /Y/GW/vNu1swgi5BOTrc6OouLSqLj0qUh8b6x6fnRKdkBMWkeATFcT0jCPxA mX9McGxKdmHh/FzvzubI2urgwnzv+HhHd39TeX2FV7gyvziyoio+OTuG5ukr D48en1Ad7k5U1WfWNBV19TXkFUUnpvvBKrawWGl0otyRLDB1k+cUFQJudnIw 2TfQWl1fBc53t0Zzi4qI/CBpQGSrqkrVWzc/3830CdLDcPWxXMCOfnZhsJSe B3tqzZ+d0H48Smo6TfEcyD6WQvjBGo3lhGeW1pO8pYZQUBocYCBwRg8zKL6x uxWbYEVj6xPdMQq+T1KMPZ/6HOX+ylH0izXfCE83oaGfo+2zqj4YE2x7c3F+ VrWpHltfHd3dXdcGkvoQNX17yZtdWfRJSDAhMExIFDM6CarYWynjoSxsWnkF Ff8S425KopY0147PzVx8U7FTfifOLk7l0Rx7nhFB6fw+FZUjWm5rydTtHGo9 PD64vvm9K+C92Gp1vrIup6QqHQrBmurlFyHm+3EEfhyaJxMjpr5LjQzIbr9g 7I2paGlUcElT7a93e93vXgliZgC2sq0YcDyStwvmtTGVu8wGnKPEliQvFzue IWCDmu/SFP/fAtyk7YPNPklSUQgVSkb5punRgyVDULTQK5qXW5HU2VNfUJqY X5KAcKRPAthYbnZ5CjB/d6m9IYr3ykHsQPataur1jy4IjkmanOicm+3d35rs HawZHmusra81cZP+3YQJqdW0Vj1/M2YKvSMr6ypN0JJnDuwf7Wg4uc/86mh5 U/WKeuL0bHV7b25rd/bkZPn8fFXrzrZ5e6Pe2JyuamwKSchnyuOMXWX/MKH/ xYD6DxPuj2a8Z1Akbd6Hsp/AZuTGrnxLAt0AxQJbYB0H5ktn4isXkj7a2Ulq bU4m/N2Ia4SSoOg+GLa/G9P3pb1Az0lohfUQ+aVmlzSr+ib6R2a3dw/+BOGU fydA55+fbE1OtAZECJIzvc8Ox2/O5y6Op0/2Jw52xgAj2t8e298Ba+Lg2spg U2tdRn5BeU1FfXNtT0/LzHTP+ERHR3eDPDzKlCzKKy883Z+cnOwKTorkBhIK 69LWVsdKKxNjtA4XQVHCqASP+FSF0FvR3Fbf3dvMU0YwpKFeoQktbXWAIA0O tfuEJ7Z3NoAnAoq1pR5pbK1zY3s9sWC8dOMYEviKYL+i4sTtnQ3Nd0yQYJ57 dHocmpIblQaZyHb0TP1sTTWj4y3ZOB20uxGehhJz7m1IGBDfeO3gjzOmoU0Z aAsmpHfzjI+YXlqQxQQ9dXX6qzEpr6x9cHLURcwShPvvHx6++1hQzs8ODg82 rq7OPzKIzf7RYdfoYEZlsTwmFFAycyZBn4R6RXTWwTlok9XiTR4ZjRuRCAY4 siGOYohluLGCPENyZuc3PnXjfe0AXZtekUD3x7xrhgTOAbtgBeBKmvOX1Aua TzQEAMttaq+oay7OL030CWUHR/JlQXwnPmSkbUCBtGzvhNRGE73EsQVZJc31 tao2lVa+97j+AI3dNZVtJZIIppPIDC23YfhjZpYnk4qjqb7udD+MX7J8YW12 fH4EHD+JlvDPDSgs9vVV91BbSl44mEihFEuPLDzfKgmpvvEpPkERfL8w9uTM ENK8nxZzq5O5FTXPLHlPzJm/2PIXlqEJqmtgamxyBKyP83Pd6tXhnc3RlOxc v4gkJ4rXE3M2rInTdRAAvmRH9LSkiF+6svXx3FcYjo4Lm+kdK/JLwgh8A5KT a9rqAVm6uYFiIt3dbS+vzTpR/ZiKOLwg/H/rEp+YswxdpI4UJZ4rIfAkpm5y A2cxuO2HaBKsentuLXhuLdR15ACapOfE0XXgWuJElkyngCS/2oba5KxciijY Gq94YSv42ZxnT/T0Ck+LSq0IiClAMQL/S5+SXggJeOHsUd8zDvbX5mdVbR3F 4Qnh0cnpucXFZdXlgLT0D7SOjakA4ZmZ7l6CYlAPFlWU+kUmKUMSPIMjsXyv J/Z0E5LgOYrxDMXILs3f2RhJyMkwJQt03ZmJaSHFpbEhMeKACD44Jqb79/bX llVlUIQCG7zMxFX6VyMG6MSYlExw272t0a2N4eXFfsDHACtbWuhrba/PLiys qCmbmR4orm2wovH+aoONz87t7CifnITm5O924MM7ytrOtl8wDs9cXejK4OqW bmuSVMcJbPah2I+mUE5Y93c3/sYUnAWDZERF65NczRi4H10swUq3uLaaWVlS 0dQG3/z49PT31A3ulIPjo7jCbHawlz2fpkdwe4Ky+Yez5Q/OVuC5KClbHBkQ X5DrGR1nxSY+1A3SuJGIJhSCHgHz0o3oygzCcEKzS5tvv7MZHv6xS+sL9V2V 4giGu8zmsX4K/AkutvY17B/ufaq17/b2Zni0q3+wdWCoDZy0qGoY3lw3Edmc qQ3j+T7xkTIueGl97cM/AXo/B6d6g9KVCYURvkmylQ3IXP/i8uL49Gj/aPf3 1/n7AdyYA8Md8gCybyg7PE4Wn+Ybm+oT8Y4N0kNRBFF9YwQzc6NX2uD2H5+w GME/B8wT1Jv7FhgPwB+4ykT15q52FF5vby9OTnfOz/esLPVvrA0VVZSZo2VM eag9SfnMGvZ347y0F4BzmM/oOPLAnz+YsnJKau5uDi8v1rXaNFjXtn13t3l1 pT4/Wz88ggxITk7Pa1r6ZhfXr66uK+tyEzIi/KNi3FlBZu4ekJmQ/fuFSM+g fCi8p5a8B/ttyG7KRmKCJ5O8SRllsUf7E7WN1SFxqRW1lf7Rce4CkRlG9L91 Kf/vL7j/NqS+chQ5Uf3busc0iLU/6JKtuY31CdASzW3NgdHxwTFJgdFJHkGx soAYz+A4n7CE8IT06anutZXB/e2x04NJwGEO98ampjsS8zJsGBJBYNj4hKq2 pRLF9/jJifYSzeb7KKITvUJjJNkF4e2q4v7+mtWVoZGROu8QLx1bKFYVIEiR SRmAeh3ujh/sjI+MdDRpLdnAC9bT11JVV9XWUT8z0w+YG1zDpdX5qKyCwJQC 2IX/yzbX14CziwtpVJA5C6dHdDWjkRwEFGMK9lGc6vcWjCWDKAoPInpJAINK KckPyUii+ingG95pPsrn+p8vyvfBQ3a2o/PTI7OzzXFSJ66I5i+PL8oua6mv ae9oVA1GJleQhVFmJJYx7deMbIZEgiGebIhhuDD8wP4lvbCxsX3wkzTUNwfY IOf0/EQRw4cI0iM7baLSGSW2tOUYLKzOaj6RCxs4Hp2eLanVM0sLS2tLlW0N lo+I61vFho134JEsGRiunzC7IDIu1a+h5T0K2Qf//Zub67OLs3erCsd5/q6o 7+/B5dXFzOLE0srsyHhPRX1uQKzowTv4LS1baKzEL1GmGmn70lX+cwJ+q1fV 24C0aF5rh4cm+7t6yzfXR7R5lwagbf7WcH1T3TMrnjlG/sKG/9JeaE/2eWEr +NGMCfmL2Qvhi+BcEZwQnZmTXlbsHRdfVF/VMaDa2ZvT2iMdaPnSr/NtU+ew MjzbAutpgFIaoZS2BE9rvMgKA+UZeYsawYG1LTACDEsk8JIQeSLY2Q1ctKVR wtO9lxd7NtZGlhb6NtVDZwdTY5NN6WVRkbk+aYUp8qC44pqOsamlg8OT78F3 +COhTaQFzWmHhxt31/snR2vdfR3rqyNQ7pLlAdCSC/NQhEBwMjzSPqL1aBsZ Vc1M9yzM9XH8gv3j45SRMT8703TcWYYEngtH3FCfMT3ZNjrSCL6+tTE2O6Mq KU+MjJeIvAAv9YxJyZyY6DzaGz/enwC3ikvLkvhF1zZUba4Pwx5z/QOtHV3t B/vrF6er1U0dK+s79xVFuuw1Dk+OWYFKKzbJhkNx5AhNyEQjqutb2c3A9h92 UoMTeZgxcIZkN5SEMzIzNTh17+eytbejNai+X78+5Zp1B3ZbexeXl4cnp/0j c8k59VhO1Et73s8OGB20O5Re5FHgSlMq2ZhExEoVkSnlkoA0V2aQT0Tu9xQB 6VfATPX47FgZL3SVWBG9nB8kSC4ic8Caese7PtWz4H4vbqx1EjJQYrY5HWPB wJozCeBVeSP6+iMTehM6VgfrSPISDo4P7u5tHR+/q4195xfdv1R3iMbnNwPw zOKm3NBkD98ILiSWjxI8zp75QJBCokXNHRWjU/25pQnTs4iH4KfHu+15cn4S Xxjb0F64uTayvNQPmFJ9e2FqSSRF7P/UkmfgLPrBhOlM8+N7JRAEYaaQbRID sKMn5ixQfjRj/WBFe2JD94zKKmuqX4Xi+O3v7M9Vt7VeXF6DR8FuwoWV7a8c RRxlYmxGSU5xfn5pnMRXoc2Ey3vLVFubdo0v8ZGEx8kDImUsmdjIRfCLVs2n YyswxlDK64q0VsQ96tUhwOVAmZvrnp/rWV8ZWlnu39oc+SKt+q3g9vbu9PTk 5PR0eWVevT61sjwIGk2blnQQzk86ONTW3FZbUVNWWF5UVF4ckZisY8/92Z75 DEXXx3FNSPyX7kz/mIiDffXuzsLmxoR6fWxpoTcpw983jBsRL/UNk3f11J8f TR/tTQyPdITGpbEV4en5+YB67WyOgM7aWB9qaK5JSM+emOgZGGynS4Kt8crl tS0wkyOa0AfAAa/KmuvBUgWtZUwCVenrwOGZ0NAPpkdGZBxgR6Y0vAGWYkQm wBGQwIcNyChJZNDp+dnNI170OWoIzySzi+vWeK+nVpwfzZkvnCmGRLw1D0o4 8njZBWTJjk+1ZjCtCXKRX2pmcdP65netiIGbrmdM5SKycJfZEDydYDtnZgBu fA6awT6h2xfgY6Czjo4PW1Q13qF8qT+DpiA7cjGPtbTaWJE4ZwHFWUCmevOj clJlMaHtg/0f/1sQ/GbADbi+swboMdnTWR5K94vkhwB29AFLpPA4mUcwLSLF c2nl06TqQ/AWHvF8bZDV4+3Z2c7GjuLXKQYGAEcCBInpzzVzlyuCknG8sP+j SzJ2lda29Kk3t0nCULBPDE8qJYsiAUf6yZz9zIor8U+/vt7f2J6bXhze2ZtR DQ5dXf+aS/3q6hqUw8OthPQwjkLqQhUYo+DcIu8RH9niBe5MkTEKykLyzJr3 zFobBMBe8A8TlsArZnCwZXa2f2FxcHi0cX11CF7WQVmB0msObKinrm+u/6ze 378PcINcAupyuAvK+JZ6CNAVtbYNV5b61WtDLe11abn5LR0tB/sr56cbJ0er x0frPhFpzxwZhgTeSzT7JZpFk0mLynLAjS4uTjfVU9AXV4dqGzKy8sIy88KC IvkpmX5dPY0hsak0cXBSZs7MdNf+9hjoIMCOoActD0xPdU9NdssC43QdRLYE RWhCkQYZ5m8CHqFL6jVXKRvrIbDjUwD/oXn5meGFuiiaKQ0iQrYcuhGB+NwZ YiOGOKoeFuJIZjSSOYX23w4mkbnpmsc5Uj9PJcHx6OQUywvTd5boOgheuhMM cbSfrMk6TgytXEsbgkAr3TIiEl65k9xY/iRRVFl9l+a7V3zDrdfS38ALIeM9 IQlSS1/DNeQ2+IkjHsA2Kqdnx7VNBc1tZS3t5S3tpUWVWSgxEzLp10qNjKkY fTKUKUaP6GLHwUenBu7vb33ymiD4AO5mF8YbWkpC4qRwsJSod2Jov+nv7xEa K2nuqPjS1f5ecH1ztbw8vLV+n6pyBToOgqUzNS/9HyaMV46i6qa+yJSy/9Kn gD/TChs1d7fqjXX4u2kFDb5ReT1D09u7B2DGm5xfrmhRnZ69Xyq7f7DjSueb urFRNLbIWyzxkVthRTp2UBQjHW1SNh1tFranlvyfLCCmBJtqw9ba4DO/2PCx 3MDCyqblNfX62sg6tOb2LS32PWTYBIv19tbsd5kD81/j3pm0Z9QnLC4pMyu3 uKChuaa3v2VqslObuh3imTPT3X39rSOjnevrE3s7c0dHUA67+eU5PQzVjCz0 iwwKjg2dmRm+1QYpOjrcXJhTra0MHR2q93ZXNtZHZ2e7sgvCS6qyuZ7hcakZ E+OdgyM96vWZpYX+pUUoFBJMaDfXh6enugKjk+saK+fnB87PzxB29C7g/sqq LNMjojBiD8B8jBmuxgTGcyuBjgPHlEowwlMdOXyuX6SOA1sP725NFuu6Un5C 2SujEn0TEs1ohNFZKFvoZ2pbmN50D0w6Uf3NMR44blhYYknP0MzG1pFfVL41 m2pMcwdFn+Sqj6ZCex8bwS/WQgMXaUpe3cr6NqKL0bwWE61vr6LEFhRv18r2 4ivtyPrkLQPf8Pr6emJ6sKe/pW+wtae3PiEzxBzirlA0Bkc+me7NE4V6KxOi mIHKgJQYOMsJYgD8uQF3TauqyiuIFqbNvKYNvesByntkR9r/hsfJQmLEvQMt j8KYIfiMuL65WVgYgFfJByES+HNhvi8oLu9vRnQ9J1GTarihfRDsE/+f51im Im53//ifbwDf/S888OubS8Aa2tNfu709X1JX97Ot2y+2vB/NOE+hWEaQVTZg QfpOglcOcLY4MKlCWVFe2gsBNwuIKYBve6e5beupzqlMSiqMnJ3thEx/72ve f3H+J0nF9ckBN13/yGxESnl8Zg1YzlzoAYYouSsjcGqqB1Bi0ICLC30cjwhH io87y48o8Od4xpyegXnyLrmwxJQiGRhoqatJf7jh9fXF4YEaHF//ealeG1Wv jVxcnC0uDl2cbV5dXa1vbKwsD6nXhg53x+fneicnVdq8bAOALF0eTxWUl7f1 jGoQ8dEHcHt3d3V1LQiI/g99gr6zSB9H1CM5G5PIL2wFTywYGIEvmh0mC0ov rup0ofujGAFcz2RJaCzBR5heXpJZUYbzFO4eQBT3czTvg36trK5rZW0bVo+C k7yKJnZAgDmdZEGnovhijl+wKY6vi6IbYKm6WHcrCj8qpRKZ1mHAlsyXVxel zfmt/Q2ppbEnZ8eazzYcbm5uxqf60/NjrWlOjhw0UUa1YRO0iXFRwenxt1DM JaRf/mho+xpKMtKmqs4piotKVgZG8AIj+YGRgvA3VWywTCk4SghOsgtjzrW2 8cjM+Qfg+Oy0tbtybWVAm6dSK5BZGdzenD0/g2bXwsqOH82ZfzWkJefVDYzO hiYWe4ZmyYIyNFqLWthL90GS/9q74Z9zp3ux7fnlcVRGpjWOK/DyD4gKoooE BJ6YJBA7UUQGzgI9J4GBK9MYTYeNlAxdJGRxZGv3KGzUdHJ+trg6OzXdsbzY B6nYwPq+NLC2OowQpH8LgOHs7S6tr03Nz/VpJTyD3T1NuUWFXiGxtkSf+eUN eDd7cXndOTRxfHy4uDj1Pqn7Hdzj4J3Z24EcfsF4v7653t9b294cO9gZm5zo jExKs8DK88vqlpaGlxbAs4aq6ytD4gs1yBj/MOCWOT4+D4wt/E89Cp4fIQ6N fu7uaEIiWeG8jF0V6YUN8qAMQHQrGnq8wnKcaP77B6fL6nWyj3R2efHo5PiP jMFYVt/5kz36mZuTLt7Zis7AyCR2XLo9n2LBxpox0SY0nAtf6B2ZUVHfc4Mo br4cLq+vk4oyUWLGCzxKm4gNDwhSaGay5p1Iswj+eIxPDxaUJXX3NXf0NEQn KbWiJEVUogcoAVECnyj+yHjP3v724wRACD4/7g5PDjc3ZsD2X702ur+7fH5+ eHv7qza8vWfspZ3Aluh9rPV900DZUX9nNJXbu9dWiDu7ao3mSnN36RcRbuLK 09UGEzBxFVA8SEQvR3epsymaqwsFgRT/aMY0dpXt7L6mQHfXZ6f7y6sTi/Pd gNctL/aeHMOWn8ib80GAdr++gbC9e1Dd3OcfmZyakzs/1wNY8fxcr3ptuLym qqii6vJ897EJ2YfxRlPfQlm67v2SLi/PN9dHRkfbg2KSsdwgvCCyqaPncH8R PAUQpNnpnsTMvOj0yj9DWtnPiYdZsKyuq7YVMprNKW/UQ7HTChoaO4bAEVyp buolCiNOzy4mZ1cODu9dRz+u+35/9SADYNgZrby10YDi6i7n2PGo5gycBQvv IKDZc9hGePovDoy0grrTUyTq7/txqw1t8Qfk44AmXu2YnVyYxkup1my8IQXt KKQPTb0/JTGCPwzvilWn50bj0/yCIgWwQMk7nMMPJM4tT32R6iHQaDf+kATo 7sH39j5rPDhOza3u7h9p7s0+P9UDf73RwtIk31PuQuUS+RLYu82ea4eSmGEV DkQvBycO/qkl7y8GlPSCBkjv+kj5Cuo7MNE9vzR6dnZwh2T8+QjA02BSbu1P 5uz/6wd0aFz60e7Ewlzf8HAHURBUWtu1u38Ku18/TJivUwx87AYT/lh+eZML zSc5r2FH++Zsbq2IfcPLaypOD6a21EO1Tc37h6caZFr+V4Bf+Nfn0Mno5FKT avjxFa2/2tuO/H9Yw8KD8ejkeHN3JywrxVnMfEVEWbNJrlLOL46Uvxkw/2HM DIgp0GjfIsTu94sD1ofG5CQ9dbfjhvi29HX/6rGD4IsCHkqwgKi7rykmSVlY ntzWWd3SXhmX7A3IUlpumDYBEII/FO/Q1zclA79Oua///enmXnjCXFiaKiqP zyuOiEwQELi8ny1Z0ghJXGEo2dsVLbdNLYsvrOzkeiXA3sEPUge4GrfafRGC j8ed1rhlbGrJIyTT1E0ck5K5tNBb3djY0jmys3eoeZ3t4vfcHxwnZ1fhNMEA mzv7TtSA//EjmusRrgiKLSwvnprqOz45+xS/5rvAg2PmA8F40Gs/DIevIfDX 1fX14clxeWtjfGGuMj7SMyIlIatmYGzu5PTsK6gdAgiwKi0iJ92cikrLjfzS 1UHwflxdXZ5fnMFL89LanDyIGp3oOTmNpBf5GvHHZAQ4PDqYnB4cHuvrHpyA F4Jl9eLB8f7J2cdYFiHvzL+N84tLsX+aOdpjcrJ3dPJeePtp+/nqGuyGNPVt gzyvpNiMSmlg+i82Au/w7Nubi0/5mO8Jt1o575euxdu4Q4SB3xR2Dw7WN1aW lqev/xBtLILfBq38+Pbw5LB3VLW7t/mlq4Pgy+BfOrbcPdarIfgUeFhkT87O 4Uny0+5NPnS3yyvEFuXPDNgwCRZwvT5HBi4CBL8B73EG/yL1QPA14LVL3BsG FQgz+nx4zGE+99C7+yrlHggQfJ+4e40vXREEH4XPGvQVAQIEH8IfPO6QUY4A AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA AQIECBAgQIAAAQIECBAgQIAAAQIEvwdIMA0E/yaQtwUBgi+Mu/sozW/M3kjE OQQIPiEQaoTgt0EbY/nma0gfhgABAgRfLZBQyd8o4HjXO3sH6u2NL10XBN8A wEC/vLw4Pj5EePW3CERW/GfC1c31xdXlxs42KJrXq/D5xdnV9eWXrhqC9wAZ et8i1jf3DVxE8ogADaI4QfABPF5YBwfbBwfbwElDd0dUXsbA5JgGGfvfFJDO +tZxeHIsjQomeUudxUwLJiGxKBe+PjzZKwuhTi9AQ/L27vaL1hHBPcBwOzg+ uvrM+SvhnInI0P79eMjZfXFxNTE/RpH5/WjKfmHLjkwph7NTfukKIvhKcXt7 s7W5Ul2V0amqOj09cpfxXuKdqjqaNcia+3UDtlTRQEmNz+ZW1u6vIfg2Abry +uYmoSjnJzcbA7Jb+2Av+PPq6vL6+qqxs1IUSNg/2NEgQ/IrAJyXFJx4JUQ5 CGiDk+PQlc9AXJG+/uQ4PjnD8cOe2zCeWjN0HUSAI2H4HhpECI/gTcDvw+rq /PLyTFFpanSSf0pGSG5uZGZRqgkD19LbBT5zc4vsVb8BhGcUWtElNizWxAIi 9PuG8dBxGZXFTkLG6fk5OG/prlVGsPzjRFwfdH5Vqgbp3y+Nx+2fV1sB2Gzb QKvms82W1W3dmRXlmzsbjzPFI/gN2N0/Ojw+Tius+ash7aWdUMdO+MKW/8yK h2ILeobHvnTtEHxFeDDAnpsdbqrLiUr0cxRQHPhkex7ZjI624ZATi3NHZ6e+ bCW/aTzsMT8HQPfd3Nxc39ycnZ83dPbqYliWdAxKbEHyctne24Sf/5kejeAz QSuCuLu4vLi4vByaGn+JR3nEhhTWpHuEM7m+GL4fTh5GX1qb0yAE6QtDq6O5 uhyYHOse6bblkQ0p7mGZ0Suba9pJ9dN0DTw/L6yq2f7RpmS+OcOUG0y+uDrV IJvW3wR4yMRnVhuhZK8cBYAX6djxwREuv1jz/6JPUYZlbWzv390h4wsBhMWF ieXl6eYeVUpuvNBfhJexCHK2I59iSsea0bHP0HYGZNeqjhZo04K8MP8m3vDO 1p5/wkH3cCP19iLBQ6jjznyF4VjQ6Mp4QVRO4MrG0uXV5R1ipvJtwjshylXK cRJScDI8UebG9nYTBODFQSRQhAEEn2j+wFinVvSL9O8XADyKS5vr3WU8MD1a sQlgtgQEyU3KLmqovbnVfJJRDu+twPH49DQ6p9SZz8coHDFSkU9cRv/4tAZh yB/Gmy3zRogMbXsey4KT/mbM0HUQPrCjF7aC5zZs36jsiOTyuaX1d26C4DsC 3PUHx0eqob76ptKW5mKvCE9zOsaAgjakoI2oGAsmDgx5YxrGhkuh+co6h/q+ dJW/PcCNvLGzMzQ5BbsAf0LjBDBxguPY7EJCQVVuVSPLP0AXzdTHcS3pZKKS IAxnyGO4ygTR6QW02UQckL8G3P0rwQL8wqi3twYmx6Oz48gKN7YPXhFK9Agj y0PJ0mDAjsgcb/e0ouip+dGT02PNaydlBP8W7rT8Bd7x3f4mgxPtVue2f7I7 OD3Chks2oWHMGDh9klvnUJP2/9cazeVvIEmwGfYNXLNHX59aWC9paGT4ozEK OzsO7r8sCQRFEBj7/+79EcAbioW1CZKC88JG8Fh8pGMn+NmCzfaMG52e0TzS rSD4DgGPvrWtDU6wN0YhBEdZmKermG5MhUa6GR1rQsdaMPGOPLIDnyqJCs6u Lm8b6N07OtAgvPrjADtKLKs3yZ4hlnS0MJwyMjMIru8d7f3+BgQzPJhCT87O ixvaDQnE5yiCLpqjh4UKODEi8By4UozUc2J+GjE3/DrwWJD4gU/c3V1eXd3c 3FS0NmI9hMIwP1mUH9Nf7MDDuonwaCme4kkQBZKEAXjvaF5WaVxde9nh0f4f VP0/Cz7daLjR3O0AFjQw0W5AdjcH20kGFtAkXohHYlFSU0/twdEKIDu/82nb +7u9Y/1n5+cpxUV6OHOC0gHn4YBVODrxCXpY9jMUvWtoXIOQ5Pfh9PQIPgGM 6Or6De9C0CmAgh4en8gC038wZby0F8AE6aU939BF/NyaW9EEeXAjrYrg5gbs dO72jg6r2ptp/p6GFHfAjkzpWFOYILHwZA+OR5hCHCgSBMrwHoK82koN8uZ8 HOBNYEBy7lMXd7ynM8MfU1iflVWdEJKpfGvAfhzemGpvbqAuKKhrfuHGtKSJ 9bA8PSwXsCN9HEcHzcYKhZnFmR0Do5dXN29/E8EXwvHx3tLCKJi5wavx7n/f HVNHx3vNXTUpxcmuIhxGgkdLwGDEi4OIwgAC1wfNULoQJNaR6d4LKzNn5yd/ yC/48+D0/Ojy+qpnZGJkZl4RlaYahGjGW9rwf0KlbiDh7W15Sxnek+ciZj5M m8Y0DJg2lfGR4ojglU215rWY9+ORVlIbl1ta0aLqHBxdVm9UtTU7CuypPli6 vxvZx47gCQiSI+BIZG9HtMzJWcAcnlrQIBPyI8C9dnl5UV6eOj9/HwqDH0pt 6KnRvBbgw585Ojmyp0p+seXq2MGWSAIde7YNSbqwsqFBhADfO6DePz09rq3N aWgo6O6u94gOsuPTHtjRPUeiYQ0oaEsmwUlACUvwX1oYQ6JwfDzgWSsmp+SJ I8mGyVDG8dmBBAceJqmo9CPNtrWuKrDZ0tsfhnuhe6SLHyJxFhDsOThjEv0V hmuA57xwZ5Nlwt3tB7t6pL++JOC+3t5a7e4sV7UVTU60HOzP3N29J8zjwtp6 ekVpZlV5allxRmW5R2ywm8CR54uWhZBkIURpMFEUSOT44j0juGEpnhFpXjGZ foEJUq9ITucAFIUDiYn0zwFLdBdW1b6JXvJooSQs9ZkLwwAv/KstyjM28rFF 7oNuBb5ye/f2pAf/2TU8KAxXYhQc80fTpjkTR1SKJJGB8QXZ2/u7mo9bauHZ oLKt86kz5UcHyhMH2gs3lj5OYEaRGhH5+niKJZ1kzyG4iBywCluch5Md15zk hVrZWPjI+38/AK1xenrU2Vmbnx+dnxc1MzU4MTtMUDpPzIO9yRsEaW5llqB0 NHTHv7CRvLTnP7fmPbNix2dVajQaROqOQKNddo9PDo8Otrv7201p7i/xztAO iIZ5GOyAL4Gxr0d20yG4GlHRTV2QByuimf0YwLFQatrbXmFYrzA8ExLdlIyz ogvchL41baqHz4C2BBTon5MlcKetjemT4+3b2xv4xtc31+ArNzfXgxPtzT35 /skCgqelmwQFS5C0KjY+1cNLGBjY2NWv0W5jkRH/ZTE53t3eWtjTVdHRVtzZ Ubq20g8mcs1r27DLq8u6tlJFpMSMYuPMd7fnuFoxHMEJ3Qs2ySZCJRAiSOBE GkLxCGeA4hnB8oriALK0vYfsef814Pbxjss0oVq6S11NKRhzKtWBi0eJ7SKy vW60YwqMRdg1bG5lbXvvSPOoVT/QvHf9422WLIJ2tryfNp9j7C2YWH6oUr29 9eEvvoGb2xvwseKGQhu2hYsI68ynOAuwVkyw6yGbkGkOPKyzgIiR8QOTw/ih JILSNTI7dXBqRIPYFr4JWGi/uDiZkxNeUZaSlBEgDqaIw2jucpv08nhoytS2 88OHZ1cmFRHB/zCl6NqLXtgKwlNyNf++0O+T4zscyF/zTy5va6rrViWVFFB9 pPY8shWLYHJPk3CAL7F8BIpQOdtXaMXEsgNkd9AajeAjcZdUnOwqlOm4g80g 96U7z4LCKyxLAP+4vjo9Ojl946Ovd6kPov2Ly6vWrpGqxl5wsqmeWFnqv746 A9dLG/MCU+WKWB4nmOwiMneXWeE87NEyZzsuVg/L1sexTMlMKxrDjc9Csdkc b8/rq6Mv8NMRQIAiMMzPjSzMj42PdajaS7pUZT1d5YAjrS0PwVsNeIEDjLey uSCzJCajJDI8RcH3x7O93fl+kOxIEkQUB0HUCBRBAJHnR+D6EXn+JL62CANI NE9UdUuJ5n1iRgSPAcfelIQlPXUhYhXORC/Ingcc0Qprig/p8QzdNzbpwPEu bWpIKYk8PTvpHG5VDTdp3pnGr6HVVjM6OyEM97LmEGF2ZEzFhGUlL6uXflsl g1PTCB5kgtIe72lD9bUnQZW0JyjtQMFBV1yxHo5gufeM48PCEES59i5GR7pT MgIikjyYvhhHoSlWYe8itkgpjX3vh0/Pj0MSM/6PLj69qAp6Q66/wAL3Xn3u 9xOs8qsVucAd4JcS95+2hlZsEkrCJikFbmK6i5AK0SRIxYaxZhOoSh7PV1BS mXN4uKf5usne1wPQ6etbO3F55ZZ0iS4G8BZItvPSna6MDCqvKyXKPFx4noOj XWdnSx0DnSWNje/eYWFl4ydztgPFa2lxeH1laHV5cGNjcXpuZmKyo6m9Ir8q rbQ+QRElBTtNRx5RH8d+heHCRtoGOI4RgUWUMQV+ArYXIzTZf2S6f3VjHdIU IPvNPxq36vXB+TlVd2cZYEegdHeWd3aUDg00bG2u3PtCvaO/GZwa7xruzarI dRES3CV4ji9kdwQIEhewI18Czw+ckKhKgiUTb8UmGFPdReEBX+jXfWM4OTv3 iEpr6OyRRrHdpdY4D0e8p5ObxD4sI6F7tH1oaqC8Jae4vs6O7R2akSSPYSWX xCQWR7iIza2Z5Pnl94jpXqer2HQW0w0pblZsog7OUTUEiW0/OkjRndaW+3Zo qi+/LnNwcmBZvTY8NU7xVhiRHe15Thi5k5vUlurjnlcZF5wg9YsRsPyx/z97 7/mWWLI2/P4959s51/nwnud93menmc452uYsEgSUnEwomBCzYs45YMYcQRCQ qIgZFRBzzuHUWkttp7v33rNnT+ie2fdVs2ZJw1q1QlX96k7lxXmdXBa9sr70 s9+ib1Mgvfr5+dn+/s7s/ERfT31hqSA0mRiWGhyRSSXE+gZEujBSCD0KiWpc vra1Cv8C2gBgBts+6TguLKpDJr76CkY3cCHrcCLQmz//sQLzdyL7hweI9u82 ldAvlI7+XxKkJrZVR059JVkQ7cYgvApGPSMEvIMta69hE9vL4MD7GO/HQeAd Y+SLqw+Pj37bOn/9cp0/YXefyE95hMI8RkEmNgRdnqAZDwNoT1BEfyYjKplF iwnxYtDu+ZK4aUkz80ZJd+2grH1haXofjr8AjdcFF8cVZhuNsiWLZtEyNj2l NE+OGI0jZrNyxWpcXNBGpqXf9yM/x0DHfwbb1+Cz0AEsPfCnf+9Hu+cPjk9+ FEDhZop+6xvzh5P9vW2HfXZn23KwbzXq+xANEqAjUGTDYoWsRacdWF+z3v3J zKIlq6astKW+QtIUk58JGuPLYMgV0JWOZgmCsFysOwMNigcT487AwDpe9D2U e0Lxl2fH/5FPBBlklIYpZyoGx3PH8T1Q3A+AkYLj/X3C3qO4rq50v7fE0ChR PFdEzmvI4OWyfMPdPpADKAkJa5vbX5rUw3mKrk4iM3guFGJMTrrOPH5+cf4P JsWfj3Rn51eFjdmMFJwn+wUm2o2UgEou49OE7NjseHpihLAgWTra1tpbumof X1xQt7eWhKcQvTn+b0O8U0pFFptj7+Dg/D+K/asrtaq/o7MSQBErKYidhI9I CRHkh5c055AFaHSUOzHGFxSw3zJQd/VD8IBp5PLiV7+HUCQyTATLjsW55Znb z/t6G6anDdvb6zbb/NWN3fDjj35HcgFntOhRSBkp8ftHhx8///poENQztTgj hEcP5jNc6JCVDTAS4CUXCrq+q2XKMifXjw2Njf4nd+s/lZsQicPU0to3BOaT QOobYvAzDMAkxjMM7S2B4kalknkUDxr1EYr2vQ/Dj8UIT8WHJxFTRaGJGYzS mvS1DQc4RseA+qErq6C8GnDR8iIESNYlzeLCGIClFatuakpBjk245xvyHAtx 0QssOBHtYQAVIbEXWNqrIJozmexBD/FmkCkxIbXtRfOWyf2D3U+qen7+W1vc f7+yZDGOygELNcllkOIIUR+pVRLVaPvcjPz0xLa1uXR4uG9bc1js1iWHQ6GX h6UwfFgexCgfbLhnENeXkUAM4WMJ0ThyLC70xgcJkBItHgc+x0b4YiNxkaJk x8bab32t34ZcwKOhbXUrShSDjnLyZHlyRQn8PJZP6HuaAI3jeXuyiBQBPVJE FpbwQwA1hbp6sbA4nn9pc+Xp2dnnB0Qae79C9iGE8SaI+RLLyKps3N0/+Kf2 EcTxG1SmQJwfmRmL5zMDIkg+HJxPmGtApLMH63VEJtFh09qXQcNXra9MLMwr W3pK6ptyyipTMVFufmHeBH4sLirRlx2HiUjJqmz9pW7ZtyC7u9sOx5J5UjMg ba/vKC1ryCLHo/winf0jnb1D3wVGueF4Xgkitri9ZHll8eqj9eo36fmgU4+N Ddqs8+CPnsEmQRG3RyEJTSeBP1dXl81Turn5idaW4pkZY1tbyerq9QRqb2/7 7OwLkR3fugAucmMF+4RTT05P9w72R426sQnIuc66ujKi1/xWdsabBLzXuizI de3qKru23J0R5MkiIFlhAR15ckgqvfLXr943LcgDXbQ5ngSSX+Kx6KhALM/d J9TvGeQgRHuBBaQEBZo9DKC/xtN8OUH4GE8U14UtwCdncfqH286gDACnVrv1 uXfE/3oWnJZXumLT2Za1Gw4j2AJSgmBpQb25Oj6i7HkVxAI4dN+P/BfP4OdY hied+xRDf4pBkInqwQSndsPyPIix3mFCfFpOeHFVygGcXfAnJ9FHfoQMNP8h K1i+fBvg23u+vKSTDYsROoIdkNpM44Nm0/CiRb25MYlMlRgpca60QCIfsBCG FofmCAmwixG2uDpR0lkSkYwPTw4Kv3FDAiUsKShMiItKDR5QtC/b53/Va/3G BXnpzQtTlES0G93XhcwJz4jwj/gQmUoSN+SGpwT7RrylCANZ6SQUF4CKS0Ck a0CEtwuFSuBlbO8dnJ6e7MKJp66j2+DZ4rJ1JlwQ/ggFzU0eB9L+4kUYUuuv /s4s+OT0eHfvY+oqcARBMdc/wsk3/IMr/Y0X2ysuP5KdivePdCluSHFYDWBa tLyoXbKMzc8px8cHtJpu6XBjYkE4Oz04IosUnkkRlsQmFiUWNVZsbK//cbxW PhG1ur+9vayrs6qoXAhANxhWFmF5noCLcHwvTDScPApy5fIKjg/QmlW/YVWR B7SwMNncWrxsX+jqqKInoHMqhYDoOqTNRp0srySOl8upbchu7aqqkxTHZjKs S7M6rbSjo7K7u0Yu7zSZxn7D+v+McnJybLNDvNohGwKwUSlpJsRG/MXPOb++ YnpxwTOUWtxU92vW5x+2HfifLs/7BxvcGEHPCQHurOAnOG9RbcUVbOtBNIH/ cQj88XJxcd6r6BzRNieXRgRyXXxD/RE3oSeImxCW/iqI9oFEREd5fKAG4KMD cytjZmaV8A83Lq/Wc8rEf3pDJYZlNUvadzbGJ00KcWuzTi912HSgt7QtG2vb Gz1okX/zJoGemRCdkF5SLFf2tfW2PPKjPfKhv8CRX+Ao74g0ZzLDPxSFi3aP S2OkZoem50bUNxccHOzDj/Qyv7KjtL53Z+/o8uJsb3f1ixfyeezzV6j//M3l i2PT8fGhTtM3Im1UjDQjgASKbLhRrZRMm6Uz0/KzUwhWh8YUhKhARjyWmYAB XAQQCGyr6jOU8jawDU8msBNxHLjcMhL4QlQaubolt15SJO4ql6p7z8/P/5iD 448X5L0dnzGjIr0+kAOfY2moiIDAqA9JRRE6XY9qVFJSnpRRzG/tLUvODw+J 8SMlBHBSqUPyjqzyOtvqxuHhVm9vg8Egv7rzuCcm1anZHF5K+HsiE0x8nmMY TwJpnozo1c3tTyJHEQuOZlzR2VWmNwxPzuo3ttYQ09j23rZ6QlHdWZxVFbcw JwdcZBjvl6taQUtfggBJgxTrknbFZnDYjeZJaUQGmZlMjC+MSC7l59SnCEui FAbp1R/VZxu8/I41a0pZLCMpiBjrC3DIH1IfuQRwXdEwHSElMMrNO/SduKti fc3ucCwdHu796jWFXoidnY3jo8PyRhErldjWW0NPCCTwffB8b1YKobm5CIA6 JR7FSSYwE3HiznK6EFdUllhYmlBbl9Uozq2oSJ6e1v/ILDFfrSANY2dnUyIp HxsbVI12B0WzHmG9nxMgLz5+fqYXh5SUJ1DIO7d2Ns/PTn5arvufIKDHVii6 Bgeb1zcccwuTyFzmOtD4eN9mndBru2nxnEdBvnm1eXJVV3Z1fufI0NUfdWLy kwXpDHf21gVFYVieq3+EzzMMHXGiBl3oM6hA2qTnWMprAsWLHsHPSj88XLq6 2lpdG7+6Wr+62rOtrKl009VN3cMjPdnFlcnZJb0DnQvz6plp5ZpjbnfHPjza 70aOYApS+qSdiwtjp/vTPYMdj72ZD9yYj7wZL3CkN4RgX2aYNyMiv7rENCXV 6HsmJsfW1lcWl+aQ6m3v7t93YT1wZcwuLB3uOxYX1CcnB0jlv+QZCCfOOjqE FVxXpjmLTDN+fHLyB38xLs7PDg62Tk8Ov/iv52dni4uTM9NqvbbvFpBAGVN1 HB4sXF6uXl5sgm/tHezj+GHurBCfMKpvOPktKYAuYMtlzXkV8bQ4VFgSHhBR dBoZFISR2LCVjRyDQ4Vjk4sT2/prJQMNv/KFf4sCu31e7uzvcDMzH/ixnKk4 fIybX4RLdnX86sp4W1dJR0eZbVFnmVM1ivMa2/OnpkdAy2qW1BqnzEf7VrVK 0tVVdXzjhHl+caEenxoaHSLzwgEagYJYt6ESSMVGxoPHevXZtHTVsQRegM7u 8jBAuQloi3V2bctxcnZ8+4X93dXh0SbDeM+qzbBiNcDRGddKY/PksGliUDna 1tSUn5DF8gl7HxjpSoj1C8sISauM7Rppsa0t/9EiGZHbu7W11tpWmpYfmZQT mpDNThCx47KY0Rk0gBlBfG+EjggxvlQBWpDNaRDn1tdnA9IYHm4FT/PXtbVd gv6zvb1cJpOsbazged7RuWwsD9Jx4WN80NHuJXUZ7S3FouIY6BO+d1w2i51K 5GfSQpOJiTmhJZXJdfXZ6+v2X6u2v6AgD85gUNRWpwqz+G9hh+e3ZPQ7Cs6b RUwUxYbwGX5hZHcmIbu6+Feoz9nZydLSdE9PXXV1Wl29qKIqLS0nwmpbuLq6 vMmddW42KQqKhc5UjCsDPz0tP9iaHpa3g0774PDw6p8ooP4jn8riiiUqh/2B +iwwwv9DCAlJcw3o6L4f+Z4fGf6T+poQ7Eahu1PDn2JYhdVZlXUpeaXxnT0l ai00GbStrHsSBVhmWkVdvX1Zt+4wzM4qzWaFdVlvX9ZOmRWjyoFVu2HVrgdT y9kZJZ2X/td39Ce+zGc42qsgxnMM+xma/RfPkIzSnOMjK+h6r66O4C0Y0/ea OuV+lKTn3qH9Qz1Li9As1basPzr8gfIfeeKb27s68ww1Ics4vdDUL0ZHRCQW VjuTQh8HEj2ZXIvtj7ikI3K9+3vbOk2vUtGm03Tb7bO7O+uff3F2Rq1WdqhG JXcBCSlrqxPg7l5erF5enmzt7ZrnzRrT2PjMRG1bbVtHVXphZKgQzxJgGPGB zAQ0wKTwJMKtHgnKpy3EE3j4aBF/xmKyOZasjsWdva3jk6M/2hD54wWZdLcN yp+hOc8wFN9QfyzfnRTv39JTNjE52DtUA9qR3arTabsBhABkWrKMSSRlRVUF MzPqhTlFa2txa2vJ0qLx4uIMPP+19VVOSp4bjfccy3xyEx+BlJc4hh+D0dTV dnVH17SzvX58fLC0OCkbbpBJGxNETHFnGXheqeWxzBRCRmVCfXe5YXps72Cv dVDMTKGyU8kNHXlms3TxRo8E8dKyzjKvMhj6WntKWMlEL84b/wgPF6qvC83T jfGOlUY6OT3+e5f/+26kk6axzvby7o7Kvs5qABLcVDLESOlUHO/axIbjeRJi fAgxfgA8KmszpMNtnV3VVuvcr1lJRPMzMtJZVi7cWLPXdpaGxAeEZVBQkS44 vpd/pHNkFl0iKa+rE9ETsehoDyys9SLFBwhzwsBOQKRLYm74/u72smNxBcak b/eZIu3CoJMl58Q4UXH+YSQwYXkZjPJg4jnCcG928DNCwJMgf2cKuquveWJ2 CokM/SWMF0i3AFC5sbGgrjZLDCZH4jzwCHKKYizLs1d37OnrDjNoeuKOysbO asuC2m7Vaw39aRUF23u/viryWxVwM/cPdxt6q4lxAbF5TMlAFSYi5r4/BfSf z7GM73xIIfxEcpzwry7UZ360l0GUhwGQZsmTRo1NZSemM9LzuK2dVfYVKHr3 6PhMPzErlUtXYR8kMJmFMGZJuwzzDOjMHTb9wrwa7ABGonLT/vKW9tCNed+b +jyQ6oRloCNwAWGBITxqiigiPTe8rjn74gK0qfXpuXE/cuL/+yjovgujrrlp UNpjWYDcv5cW9YCEd/f3ekYlBzdLV6xvr/uHxgWGC91plCeBtPD0nGdoyp89 iI9RdG+2tzPt7bAGzh36Let7/3WBI7uP9gz6AcR2Jpc1wY5GbcdHB3e7LDg5 855lQTk0UHfrhnTtjCRvM09KT0+tV5erV3BW7dbequh0ckwmtaxWKG7JKa4S llQn55bF5pXHpxZEIHQEMCkimXjjiQT5JnEEaFqMH/ihqDwmtSgyKT/Cvrp8 9S33nL+o1HcNfOcd8gJHDOT6EmPd3ZmusTmCTYcJ6u6W9aBZmSeHp82yNceE aXywuaVQJm1aXtKurYxPmoYBLE2apA77+N7e5pRZ1ddbCw7oWF/1prPu+VJv 6QiGJcZrHDm/VnybwmFhfhxw0aiiHaCyfKRZpZAM9NeMqHvAP52enViss0WN RTH5PCzPLyDSlStiBUQEvQnxSi6OsyyooJZuNy7MKYcGGxTylonxAVDb3fVp jb43ozwhOBZcCyokHsonmVJSffUPH/1dQ/C3/oYg9bfY5hKKuFk1SWllccmF UeklMQU1KclF0aGZFHpSEDrKDR3tjoZWr3MP5LrBTmUu6CiP8NRgyaD4cH/3 7Pjo9OT4+Pjw17wbe3vbYAiurhfxczkAgUgJgaB68BJ77ji+d2ppLD+DnlbA DeC6YHmeoPiFOxXUpXGzaL7hTsFx/rwcll/Eh+qOkqsbU8U3KHDyt7OTxuZi TyaeyGN4s4lw9kX0BxoUIAZI6VVIYDCfkZoXH5bK/0DDD6gUV7/YQAPa4MnJ 0cBQS1V1ulic29CQA7Zgv16cCx7W9XdOjkyTcjBV2XCMg3Jj9dbMziqHRjuz qovXtjZ/ibr9PgRMKs/PT09PoZHOvGAqa0rrHZasWMfN5tH3wayHKMoLLBNg kjstctIsD03M+NNbytNA5nMs3YNCx3LRlAT/jPyInoH67Z0N5IAbW9sms1Gj GZqYkF2D0I0rAlKW4O3GqnF+TsVPyfvvl+Q/f6C8QnM8Qvj3XeleZCJLiGUL Mcm5bFFBVFIWR1QQ3dZZfHCwbXdsxGfWomgp7ni+3iBdWzEg81NQVYVyWKMb AZVnJBMH1b27+7vLjqno7Oj7ftjnGAa0OKYPCXT+L3DMD2R8dHZ4SIJvY181 PC36etvpz931QUfb21036vsAHcllt85FgH9alYr2ne21T056erI/aVLcRrHJ hhvB4Lu+ZlqxGc7PjuB12a6HLTD9N+iHRmTN0uHGEWlTY2tec3tBZ3e5pLOU n0FlC7ARyQRBNis5L4ydiGUJMJC3dhKenYjjZbKrJE3d8sGVdRuyzN+3Pvz9 vAJuxtnZeWVb99+8oKhPbLQvKvKdB9P3AxlX21Z0N/ZhYU5lW9aplJLW1iKj oX8FsnPpJ8YHBwfq52ZG7VadzWpamNdMmaV7e1uONduYbqi8NjuYG/o66BqQ XgUxPgQzPOmRnrSwjiEpeBAb63br0pR5UokkeQBb1Wg7eKa8DOrUArQG3NnJ /tKiUWtQtfU25VQnc7PIlET/oBgv/0g3nogOIE2r6QbYNm4cAHDV01Pd3l7c 3lHW1VOnUg8J8gpf4OhZlaWrG2sHR1+KcrpElli53NzZufng9+AygVzC0oql ub82IiUkIMLZL8IZIATYAqggJaAAS+BgwMDzvQkxvuATqhBLE+LwfB8vzhu/ MKdQMOkQBmUXx3R2VP47Kf4QB90fU1uLZcpkUoOdKbOmpEyAhV3HA6PcEB0X qCoq0oWdFgLqmVEQxRDiAriu4MNAris1EcNJCwmEAwf8I5yVxhHQ0i8/W/X6 23qqm1urTU0FhaUpXizicyLq7fXqZoFv4TUNAyMocZl8ZxruHtqzWwH71/2s l4c8kbU1m0rV39FR2dCYCypTVycCdIQAUl29qKgkYUjWfnICaWWPj3aUmt6Z mdGFedVdz0DbknZlWaedGDs5/Qnrq/4RBOpttrft8ERvElDx/IJl2qwcH5cD sKlrqyfyYl8FsR74U1wpEcYJGQAkJ0zk9870p4Fgmkl7G0hhCADJ4MenBs9O D4ZGOps7yhyOWY122DQhX7ZoBqW93f0dpkkF6MatS9q7jDQzo2xqbwliC98H cjGMxJyycr1eJulp8mZ7E+M9cdFemZUxu7uWrW37+sbK7LzJMKE6hHNNiDtG Wrt7EfPcusPgsEF+DgDAZmdGJyZGZqcNNa2FWJ47PtY3tTy6S1ZBiPF7Twp6 imY8xyK5KBnvQwi0JExRU+Y+7Oj4lfe3UA92Zw0mRH5CnZGfnJ2dLsyN6TRd Ok2PWnnXdtY6Im0Ej/6LRq5J06hc1gTGRzA4rq+BYRHct9Obw0Lb3f3t+aXp 9r7a6iZRVUM6KOFJBABFiE3tdssR4gorBRV1qQkiFj0eR4tDe7FQDzGeoG/h pAsPj3+HgcD/piBPbdqy9MCf9hJHR0cF+oS9icyMcaHSxR2F22umH3R3yzqz abi/r2Z+bhR0faDFGfS9CjnkL420viWL2qDvW1u3X16eTU5pu3orlKpuTxrn GZp2k6YVtGu6CzkiPr9qbhkyQE9NaQDljqm67moRAeqIm3PishiiioTh0S6N ulej6ZwyDVnmxhbn1WDWY5jo7x+pG1Y0qsc6FIq2CWO/Fa4eKAtzoyp1V2lt ycjY6Ob2zoh2wji9+PdvwOHV5frlxXakKDGnrtKxcW0IBhPebz170vn5mSA/ AjAPYImQuABirC+O5wWIAvLH5rohahkoWTrPi5VM4GYz4wojUsrjOmQtGtPo sLa/U95a3VmqnlCAie0vrQO/dlfYdIBReH9/d317rbmlKCaTjqiJbt3IAS8F 8b1pYPoDZj0ZNBQXYidstCeK6+oX8QFcETOFOKIbuj7m1Udl4G0I1TmcWegr 75CR6mk0wzrtUE5Z5mOc7yeLwILiRMWC7SOsd3R26tUvMMQgx9veXleM9lRV p9fVZdXXX9MRKPX12TU1mZXV6YJ0Rmdv/cXFaaesPzYnXq3tW7Hp7/QYWhvs 8SJVDyIapK/8zv+GYrdNgC500WIEQ+GkaWTRMra4MLbuMI4oe54E0h+jqD3D HVtr47MzSj9y3HdO9Ie+tD+9p7kQcSHxPpSEwIqG9NyiuLbOfElvS2RiNrjn lc0VPBG/X1o/NzsGH009N6tCemmwD3aMhpGe/s4hWY8V6rfHNlaNtmWNyTxU UJ0Qk0pLyQkrrBA0SUo7+8TKsb7bep6eXbDjS/0pgsSswuKqmvqWphFF3zJk YoPMdtYlzcy04nB7VqmVYKP9fcPfBvE9guM9A6M8nmGuh4AnUGJwtjOFFhyH TS6LcUALgX2lc1LQW2xsXecIus3LevnDtUf/pZCQk5PDKbNKLm1SKzuUira7 Qx7YV4626zT9JydHt0e+dQE9PNwFdDRuBP9qvbpyXF6s31YBqZjOpEzIZnJT gikxfoz4QFYC5jZm7ToDkhAHkImZgAalsSU3qyQuiBsYk5MQXyiKL8o2L8ze XsjZ+ene7ubp6THy53UdvsoH9CsIct37h8foiGgXmtMHilt9d6vVYaUK8Sml 3HW7CcaeMesiwj9jdqse0NH8rGJ+dlQz1qnX9diWdKBpLFk0lnnVhHFweLhp yaK3W43WZd3Rvs08Y0JxIh+jQOtgPAlkPkbRHwcynqBI7YOyK1gzv7w809hR 2t1X84kT2vCQeGCgFmBSXVOufKR1dlo+OTEMeGzc0D85MTRjHrEt6gCkafRd oMgUraNqyezUCGj7K1bDumNiZ8O87hh32Iz7u7bzs6Pz8y/QDkAgXl5alaTi 6uqovK38vzzehmUKbKtLAJPwMeGtQ31X37h9fGi4tbZexEjE+IQ7oSJdMXdi 1hC0wPEguvAOe0/g+7AAR8X4dst+npxRSB/SN9qZVhGvmVT+0w4Q+YJa3T+m 6m8erI/JYlbXZd1S3CfVBp9D9rVoT8T0hud7hyYT/cKdRvTXLg2fny5RVDdu XvjkdF+tINWbW5zzZhHQkdS7K8BCeiRYlQStA4v3S8hNggLZbgjw59V/gtnu 5uZqSWVKem5kWWUyYl+DNEgN0E51TUZJhVBUwCuvTsmtLnhGREdmxq1YrwEJ 6hMWx7T6XpVuWKYZWd38sStT/0EEXkgLjJin6UXNkl4ZYCGkg4UBZuxGaT8W mpT+Jw9iVnkp+ILDpu/q67jnzPyrM9WPHptRUOwf4cEW4nKKYpra8pZt2qur g42tLUnfYFpxAng3nCgBSnUbwJU1u8FhM6jUAzMzCnDYzdWJhXnVoLwN8MzW 2gRyIpNpZGlR39xbHBLrnVcWO6Jo0hq61Zq2kVFxRX2eRq9ctEzOzE2trCwY JiZaOrv7h7qGZL39Q90K5QDkg2RRAwxbseomTCNJBbmCvNx3RJYXE+9OR3tz /DxZqKdoZAigvyfSU/MTwlOzWEk5bUNix8bX6C6IUIfaIIvPZusnVXoTlPxk /3APzDqRL4xPaRq7Kn7Moa7tXydHc7M6naYXDtu/Toh9l46kQw1Tk6OnJ4dn p0c/vBvQ/unp0ai8zWjoOz+3X15uXl0e3Y2dgXKRnZ8pxvriRUzEvwgJXrt2 N4J1R9zUkBZJYVNbfm1jVo04s6Q6KTqNRopnEuK4RU21t0fa3Fh2rCxo1D2g LMwbv3Q1X9eT+nUEXLTFNtcy0DyimZ6cGycLAgMinNFRHiXiVNBmV23jlnkl 4KINh2lM3SmTNppMQ71D4knTsN1muE7TCrbzasBIcNMeW5xXbm4sgtds7/D4 LYH1MID6ihD8NgTrHEJzDmGbZufBSfXmsYIqKJmVXN42DL82d4t0SNzXV93f X9veUQJOBI68CB8c1GdhTgnwbGpSOmWWgv0ZwE6Tw+PjAzpN95i6Q62SgK1B 3zcia5ZISnt6ahobC5aWPjqU3lwyJLxc4auQwIisBK9QEhwohPEODfEJozxA eyaX5V59s4B0AS/XbXMsibsqBYXc6Bx2aDr5rjYGdsz2AnPP5LzwpNzw6rrM vu466WDLqv2jtu3u2rX/qlxe57ubj8yghMFpHv9xQBzyOA4P99taS/QTytAM cnlVKjeN7B/pgoAQsv2kQKQU7RnIdSusTKYJMKLalB86kkG3YXppslsuwTAy sezEzkFlS7did//rXvDiOvZwvaurWtJVF8JnvQpBv72hI/C6OlGx4EV9R8E+ xnnHF2Te+d1Hpdm/2Y8hP7fbLbV1orr67MrqtJraTLH42r5WXZtZXpUihr21 u7trpmaN+/vbCzarExVX1ljiQPqEeaXdNqnQjWrNE/9OTX6vgiQV7xxQ/V9/ RcWl5xkMUljDo4HjTXSwQkazsjJnNCkLq6tmpqFs2OsOg7i1+X/eUF6hOKqx odk5aedgVUw6rb4lq3ewGvDMxcUJeHSGSflLou9rEsadiednx5U3l3QMNCYX p7GSw/zCScykqBJxETaa6UwL0uj6TSYpOJdlXt072KY1jExN9bkQ0fyU8Kx8 rn68F6kqP626d6DLoJfOmEf1+mGlqm/VBoXFra0A7tLPzoAeWOVYMS0vGcC+ dWkMHcH7b7fr9d1u10kBgPQSR/vejxoUEb66YgY3YGN75zd9Av9IkEzFs4tm YX44NcYvuYCr1A2nFkefnB6b54yl4ix+Jj2vOjm3MjG/LndoTIWYG27bHbKK 7C1NnZ4ez88ZRobFI8OfDnO3gGTQ9YKnYLcZ4XjAHXCcra211bXrKL+Nddvm 5gqg0/Ozfdjv6NPagq1S0x+TRgYgdOuJfbcAZIpOI5XVprR1FHf3VPb3VbOE XBcGiRgfuX8I5WcAfS+o5LhxcEzVbRofkcuaAMtNGKV2+9zujmN3Z/Xi4gu5 oP9o0qds94esFS7+ES4AkwZG6rfXpmXKpurWTNOktLIpE0CLyTQ4rGianhqx LUMNGcw+1ux66WhLj7QO9I2LC+oli2Zvd/Vgf+vyArKTlja13felvwnGeYS6 xWdwUkThat0wGLxW1m2Asppac6sa0lslhcND4k/eGaW8DfHYB/sz5hFYTzWG mPNuy6JFDX8C2dfsy9DsdXZGMW7sVynbpdLmlpaisbHBk5Pj08/i15BMros2 Axh0nuB8XwWjkAHoZTDqEdYnvVK0Amfs/+aAGanw7Ox4Z0dlWX1GcFwAIxnP TCGExAcgXs13SQPshyYTotOpkaBlpZOj06iiioTm3pq+oWYrnMv6p10+ooU+ ONgdkDUL8kND4lE7d/J//mMxT2pAzXk5LFCr8uo0dDTsoQ2ZAr2xPC80lJHA B3tDR9A+z8s33CmplG+c1hLj/DdhP1XEvoZUfdE+/9gbd+8D+54z/S/vKP/1 nBQmFNnWlg8O/25I428ryD23Lk319LcQ47mhmUnMlPjnBL830NJmKG92sBeL iOiUXgejnBnEEZ2moLG2fXgA/MowNVn4cT747wqAbPvKoko9AGAVAqSGaw/t yur03OJYUSE/u5BXVp22sQklCTw6PnJnkYrqC3bXzeap0c2NJWT5+CtEp/dz 1elbkH8KqLA5A8L3g8MjbnLFO1RE/1D3ql0P928ajXYYchiwTmxtWqyLY/Aq IVAY2saqgcHL+Nt7eldfx4pN67AZO4cqPNnvQxOYcSn09u4SgNWnR1ZJnxhW MEIs/RjnCwp4bR7jfJ7h/V8QUc8I/k+CfJ/h/aCUEaHk2FyhfRlJljI2bpRm FlS88gmNFobVNqZb7Yazs8Pzs1PjpLq4Piu5JKOgLk811jMs6wMghHTFoFbz cyrLgmZrcwnMiIUFhQEcnislAnLGxjKfYxm38ctP0PTXeIpTMO0ZmpqUL9rd hdopnIP9q3417KtLUPBXCpEQ6S4ZqJ9fmmYloEOiPLPK4mNFTGY8yo2Bvo/2 HNZ8zBiP4EpFU45mQoF8cnJyNGVWA+rQ6waUiva7wxyiR1IqWs0mqXVJ77BP 7mzbwdtxfHwIKQbbS/d2N8aUnXpt/8EP13n5XCYnVXmlsZzET9HotrATsYx4 NNhyEnEUvi8/k9nUK17fhmzfuzsbBwc7eu2AUT8AqjQ5oYBzCzQDRpINN0wY +zXqjsmJYcu80bFi+UOmAoBa9NbuFhhGwXzchxMYLWKYJgfX7OPijtzgOBwq gojj+TGTcJYFlcHYNzsth0EIaiOrdm1Xb4dzUPhzf1JWUen+7vTR4fb25tKq TTM5rV1cXt3c3vBgkt5SXcmxQdmF/MR0Ru9QM3JW8ObYbDPLi6be/tqhwXrl D4MZkeTqgI4A7YDTLf8wEONugXW8Ggu80hBESlY9KCs2I6je5roFOdftKp9X N+/wvHUxIivejUUEY82NEyzamR70noodUEGzp29UfXQFx2Vvb6+DOcjGpmN9 Y6V7pM0n/D2cHNIFxXUNjHILhK1XQbBXEo7nRRNg4rKYomphQWMWgI3GzvK1 VesXbVU/XtbXlslxfv6RzgGRLnWS4rXVxf2DvzdnhNP+GBXLizOT8+MEnhcm yp0Y65dZyCPHo6BQuyh3qgAdnUEFRwOvKEWABpcAPiTFBYCae3LeUBOxUMCj bf7oGM66g8TSnh4OqUZL6rqeeUXcd2E9dGM/cmc/cgv924eQNyjWK9/I9OJa eCnkr6uLvk7ZOjvtxgopbW1Y29p0ZeAfYb3AkBccy/EJDQFjnBMFCwoYB705 IYBJatvKAiJo3SMD0tFOrVFqnp/RT01e/RyWi77+BgSKbh2QkD9Bqa3LahDn Dg61mibHkBUosmrKS8RFCnX39MLMzbV87R5fP5dcXC8l/Hev9/Lqy84qkn7V X99Ry2vrJk3y7fXxuqZGSY8EdGgTEwpEoYSYwDZXja2dbX7kOIBPK1bdwpxy TDdkWVIXVOY+9aTmlSZsbU9dXADqOC1rqQI49JqEhRNnYUABPds7ChbRkL+F lxJ+S8a5MbCB4QHKsY71lYnxcZlC2d/eLXmHimyRVE3PDJ2frwDcujhbAWxG iGE9xHgCrHJnBAyO1EMBNcr+uxl6IcX+gmp+ZjQmM+c7bxLAoYcB1L95h3zn Q3rgT7kNYX6EYjiTSZwEzkM/giC//N/sXn4hQark2Fhb2VgD++VN2bRYfygf tQCbWRobk0UHfwrzw9OK+ZxENCmWBO7kE5xPUlnBFZT0aX0aDixSaAeFeaH2 9ZWDQygE+PTkcNw4rBrtAAQCtreZscHophptB1uEkcAzBZhqmVcdHkL9pFIz mFMcJ+ksA7+6W7cf1hZ6o8zTuprGXHFzXlYJj5dO5qYEh8FJkCAWEuI+0SMl 5rByy+NaO8uS88Mqm6FlasE8SKXsmJvVW61T0sE6xUgroCNQK7kMCa+DUlNq x7qRnN6yoQbLgv7Xex5fhyD3eXLeSBUG+XLIrnSvvJr4nfXZUV1PWmUiLTHS jeFET8KMmwbsS7pps2weepSQtcth1xVUVP+vZ6Q/vaF895793D9EmF88M6uf nhlILBC+RoVRuLGsZJoTzZ0WT8jI42bkRaXnRFTUZ88umMAZZyyTwnxuemkc SwC5kHV2lasU7XeNs2qlRKvp1ut6wctju57pfKEszKvAVGttReew6hFysy1r lxZ1a6sLR4dfAG8kj/fJyUZAJPUFMQDqN2A6AlMtnVmmN2sGVEp4FvitAhIi Y2ODTU35Ekl5dV1mQhYrLpPBTSNzkggAKhCfbUQ/AwopHpVREtPSV6M0ygzT 2iWHZXt/+yecEdyyk9PjlXVbaWteeVs+JzUYkIx/hHNSQdjYaLtsWLy6CiVp +SSzPXKfTROq5NywmPyw21qB32JvPMlD4vwLygSg2uBDXg4byeAEGEmQzc4s iZHe9CGIIADcLq17HfT+z28pD91YD1w/lodunPsu7L85kRIL08/OT762OSxy ZyZmp2RaKKZvVNHJTY0mC2P4uak+YZTHQX5YLpUQzUB8kDIrRQdb05urE1NT coNxcNVuWF8ZN04MKQ3qq58DkOTKXjCpKSoTVNVk1NdnfwGTajO7uqpvF8U7 ONyfWVq4+M3W8vsqZHXDgUTg3vUTud0DYLC1vW6e1luWIIzMLmv73y9CnnqG zcyo5KP9yTklayuGuVkVsrwsEpIPerOpqdGiqhqtbnjdYZifUy3Mq9t7mu1W bVx6SUhY3ISpB07nuHlxsba6OdMha3OlB/iw0Z/49t84sIGRPTgui9bRVzIo q1OP9UxMyAHztLQ3NbbUaFQS0L2D+c3FxfbO3io3K+E5wf89FcovUd6Yt71m gtX1n8bEgT9BlUwmuU4vHZJ3N3c1Z1eUMhNT/Tm8jymC0YzHaCohihaVRC+t r7q4+Cd6tt9EkCqx0wV9o7Lzi/PB0U5WAgby6hHimfGBgDq4aSGZZXFhQhxH SHRj4gCIvgn2bOyG1v3JKI3tGm7a3d8GHDWqV1CEsSM6qBnu7q5Pm0d1Gogx 7o5uGnWnQQd51c5MjdyGNljBcLZg7OxvqGvKAyNmQWmCXN62Yp+9dt7+YctC es55i1mQwcop5OeVxOWXxJVUCnNLYhNETF465RNzG/gTwB4vg9rcXQmnhbxE tP2z0xrpUMOEEcq0fKvXultAVUflraAAahpTSY6PkeRmX93j+4UEeSs2tteJ MREeLHd0tHNjX/XpKfREGvtqvEPfRWaGTM+MWBe148Z+wCo3MWsAkPTt3e1p uWU1LZXv8aR7H9j//SrYl8JFsyP+5x3xvgvzLZr+NyeqC4EUxEPFpDGzi6Li s1jJotAUUahGP7K3v2N3zLT1lJVUJwH6bWzN+wSQbjSQbTJpo8HYZ7fqkfPe ja0DPQmek4RjJmYXl7f1Vs1Mj8xNK0zjgzPT8tlpudEwMG4cMc8tmOeXwMtw G5UApHe02zuU9Co4EIkScqLhXgYHdkhbfgfPHVHyWyxTPT21/f3igf5G2XB7 fWNeeW16WVVKVQ20Bchx6wUNqMM33MmL88Yn9B2cDcktiO/VMvivrfaFTJD7 lZ04nqdP2HtwNBTXFbHo4fheuVUCzVjP2pr1i7W9gjz2j2NEUAp0PN/nB45G 0ZAbNpbnGZfFrKnLYglxEVk0fi47IMIZVJsuwLY2F+7ClrXbhCrwXP5SMtT2 PAD1xCPsLh0h5Xsn1l/f02Ys1qsbY+tXJbcDR29v/fBw6+HhQUNfJxikHuN8 aPFheC75AwXtQsM+wvkEx3EM40NwhKl2BcwO4KmB1jA4Of+p091Pqwj4z7Fm A3RUXplyN4oN2qnPqa5Ob20r3f9nyv/fvYD7bJyeae5vKWzMXHYsZtUIS1ry ECPa7XeOTw6H1KNgZ1DWlpYTAbDTAjlGXohKGv6fh0F1rX063QgxNNFoHHH8 IBLwOkAMsAeYIYL+dsWqAxg8P6t02HSAl6KEOak5BeP6LtP40NrqOKCz87MV s3moVZKPjQp5QQx8e5eOQtBvyWhPFiaYH0SMZZPiOcI8Ts9AY0tHe0Nrk1Qq UY22qkbb9dqerQ0zFFe6M8fNSXxOQIEe8jXs/NbQUeWwGVbtximzEhDRx0pa NLfOD6D+OxsT+1uTxglZ91D7Kzy0ztQzDP0lDvLTvufPeEcgiErj4bzcX5cg z2vaMv80yFeqgRyztSYlA16wI0wYFJ6E5yTiYrJYUWlktgBLjycQorHvKGgy HzU9b+wdaRXkhp6cnuZWCuNFDF52whsyZhfOkrq7u6nXDoypOuGwtda7o9uI tAkw0t25P4Sac8qJiQFJV2lKdnhheWJdg6ixKUc+0uJYWfikwgggzS5MJmWH p+VGAKCSdJSKW3JT8sLTC7nC3NDIlODrAP9EXBgMSGwBprA2pU/efjfl0daW Qy5rQjxbvugldbfOamXHyfXyKF9dz/kLCXKXxL3tLrQ3tCS0zgwl5j06ORbV Cl3oL2NzwhcX1AA2DPreRYv67tME7WJ1xXCwZZarWt5gqPc+sB57cL5zYvz1 PeORGwfM3L//wHbCMXzCfJyYzmwhgRBOfeZLTsriJmWyOnvLV9dMZ2f29bUJ cXPuwEDdiKxJDSv3bt2QAC9Jh8WIw3ZZbeq0WQY7Meodd5zD11aMJdV1339g /dcLEiqUNTujsC/rAa6Pjnatr1tXHfPzs7rOYTmGm6pQD4kKuK0dpVllhYKC fAyX9ADj/R5WPsOh07jUikJMNHtje/ry8uTrm9z8u9I4UBdXGBmaTibE+ATH +n0aHcbzBBiDvcmtDdgJlLL6zBU7ZKP8kWFoB/vbDR0l1EQMpPYBVHPj7xQI H40qxHKzmYLiaIm0aWv3B3HfYEep6E7Lj0Rxr7VGnxRomd04/+bmwsraTHyM T259GmIczCzig2G6p6cOXubp+miIlSqnqvL/vCI/cg+9i0aP3NgP3TjOBFJx Q/Ph0cnPGvX1swnCtzu7Wzr9CPizZ1T2AO3xnODXOTK4bF/iilI7ehu6e2sZ grD7gV5F9QXrjgkLHPq0BLeOIUWHDnaN/vdtxMjdWV9faWouAFwkFueBLdiv rRc1NOZ1dFTOzY1f3ckxdfmHjHMB41RAWMzbkDfB8V45dcmkBGxQdPLc0vVc 4PQcPIed4saqt0R6Q0epUMRJymB1D0BuBhcXqzKVsk+qa+8bfejKzq9oAh0s GCLhlNcaRIOELBawuTqeVprZ2tMgGRC39TVsOIymSfnIaL9C2d/QVKFRQd3m zNSI3aob1/W0SCqiM+NAh/aJ+ugDFe3OxLjQMS+C0a+CUf6hAaPqNr1eqdEM WcCgbOgbkULRVUZDH2Ct0+Plg4OljuGG92S/DzTINveCGPCOjAlLjy2oy+kb almyQDhkgTX24Lwbq8btjQmARgCQ1GOD4rYm5yDuYy/WI0/mE3/6Uwz9BZbq TCZ+CKE88Gfd8yPn1lTsHXxdeZCQmsQVZv3Vz9k7jJLfWEdJYLMSMBHJeHIM DhOJ4QiDGAmANHC0eDxLEOTBROMisdwUQlNPVVgSMTQ9hi+KYgvQgEneh3gF RrNnlyzn59DjPzzc31i3TU5IAX9+whtgLv+Zx4h2Y3WyVVKUIgpLz4tMzQ7P zI9qbStQjXZMmhR22+wnTm4NrUXgjcoqiAZfS84N4whxzAQ0YmILE0LZswEm RSQTOInYzKJoSUeJzXp39gRt52f1I1LxP6Wjm2SV4rU/WMJt5EqbB+qishmr mw6wb3UsRYpo7DRGcUPp4oJ23NBvNPQvf2bbgmc62pHRdjQv4CkK88CFA5sw wBjERsaj+86hztQAJ6rPi0DCK2wQwBgnAoEUG9Q7XHdx7oCXVlw7PFoWdxbl VyRUizNrG7O6eyrAUwBo3ddfA2C4oS1vSFqvVkpa24oaG/Pa2or7+mqUo+2L 86r1lYnpqZGJ8aEVqzIqPf7Pb8lu+OiJcZltWbNsGVu0aI6Pdk5PT47hXHb4 6EQnIgMbxg6NYz5Hk/7mFexKYobEcZ/h/SAPWBL6+wC3qOyUkhbx7DKYPZ39 Dh7+tbuvdU6t7tfppGNjg6C0dVYAQPokgh6QDOLCDZADYBI+xpsY60cT4uSa gaMf14ld2+7tC+X1aRRBIIbngbv2Cf8IYGiuGwb2rGYkokeUnbdBo8hWpR0S FfLoiViYkX7gTB4Y5ZZXLqDGoQR5YXJpe0FVkmnemFwW48Z83t5f191V3diY f5PV+RJ2rb8ymBaoPNGf3pCfeIQCaEfeSVC+/0D/3y+CM0pqru7kSvrKZXd/ TzdlMs6Y73x2PjM5nF0giM8RIGltlm5SDy0uqOwrM//S8RE9+z/4V7CVyST1 9aLqmvTefvHJ6fEReC0Odr9dJ72fS5D7Zpiaf4qmuDP8WaksqhDjTKEyBMmn p8e7e5uR6TmCXFFGMe+eXwiKzSHwPdiJ+OQs9rwFEOzZ1dUKeJTgCAvLjn65 UTWmsi2PLcypZ6ZHbctay7waDoExrq8Y23rrH+N83BiE91RseVPBzrpZq5Pq DdLS6mqjrlc2DNluDLq+MXVXjCgBz2M6U3GPsD63GbRehcDpsyiQie1VMNo/ FEuNxSbmhg1I68WSnMLKsuLKyvlZ+eTE0Jiqw6jvUyklw9Im0M0ODNaFJ9M+ UKEYFuRoT4L8nhH8nKjopOJUMFHddEyAGqrGhqrF4syi8qzC8tC4rCcenAcu rHvOzAcejIeezBcY8htiyBM0xYvjR4j19GXjsOGcgNAo09z07T38zQV5zy12 qzMd7x1GjS8UfaAT3Oh+4cn4UCHelY4J5mERQxVAI3YiLjAC48VCQwt2QCuH BpJigoKiCcyEwLAkAjsxCB0ZlFiSz0iOPYZTpE4YZZB9Tdp8CyFgB9xqvbbn c/da0JxlI02gM4SdUriZeVGAfDLyo7R66Yp9fm9385M62x3LgtyoJBFHVMBL FLEFWazoVDLgOrYAi5jVymtTpEPint4qMKTu7W1eXF7cht1dwc6iSCrvuyAE QE6j7vzE1gab2Jo06u693S+kNbs72/2VntlvJAq9lJIYWCjOk6nkoLWqVRLQ cJYsYC6j/oyONKt2Y2xB1AvSm1cYwj1nzsfZugugI/YLFPEVDvvQFTQWzmN3 lg8j6AXGj8JL3TtYODuzX144Li9AF7E5bhqQSZvkI839/bW9fdUyaaN6VDI2 KimrTckqi8mtiJV0lkIRatNynbZHKm0EX5ONtoqqk3CxGHwcFhvJeB1I+8s7 ConPW12bttsmlsHUZl5pW9JMmkfrmvJHlH1e9ND7ftRHKGitk1c4xgscCzBS ZWt7cXMdLzdDrtfQkqMfYT11Uz/P1PtrkFtAUqn6oHXhwVY9IOmuxvI8PgGk gEgXn/D3vuEffMLeeXHegq0r/VlFe+G/esaDg53qtnxMNGRi84PTdwdwXW9P 4R/hjOK6glMT4/zZKYRVKEfc9a1ediyGZpAJfB9uGgVRN6FufgjIyjfcKa0s dlDegY50HZ9QXcI/GTONejJfaidG52bHlcre2zogJrPa1v4/v0e9Q0X95R31 v16EPHAn33eh/c2JHhKZ9cwrLDFbDO7NV2hc+0Q+74Ju8iFsL1qM2rGeFdiy Nj8H5a9eRLLoWNTra7M/vo+6+82LO0k17/6rY81WXplaVZ1WWZNhtVs+OcBP vbjfgyD3Z3VjCxcleOBPeUsMfhdMeBzI5iZHmc3y9OL8h354fjLzfXDwA3+W NwtPjPcE73BLV8HV1bF9xbC4pJb01OztQzbK9fUVlbpPJh/oHeianoJyX89M K41GaXFDATUx0oMV/ApaZQbjywns6C0ekDUolO21jY3mSfns1DDkqKntMWi7 DcaBioYClaLNMDHESOa9DrlGIzC++3CwTlSIcLzYGABIb8kobBSVl04Cvevk 5MjaisFu1VvmVQCNQG+fU52DCqcEx7IZ0KkJL4M/ZuJ6B7t5vwoOfE4ISCnJ aO2t7xpsmppSDAx3J2cXu+B4/9/zkD+9J//Pe9J9T9pzDO0VgfY4kP4aH+LD YL0j0l3oPsHxnkS+R9dg/dXXNElBHuXewb55YRbJGNw82OvF9OOlETwYAZ4s dETKTdLFRBwpBuvGQMMLnCEBYoCacLAZjhCWhKfHo2JzYkIz4r1DyZ0yKDnb 1tbq/JxhZmoMTPxvdUdKRRvsmK1B0gzejqq2JZ3B0AtoJy0HsppBdJTHrW/K 0WsHwEHstrlFiwlQDVJtpLUqxlV+4T6JWaHZhbyUrNDMgsiKuuT8ioToNBIz AcNLp+SWx+WU8JslJZ9f98S4TDYsvhsVdZt54HYfISXYbbtFp+n7cU/t9+OI eNtJLtnnt3Y2k0p5GpPy9Phw2aIbkbVMTUrBtNSy8CkdQUkjZ0fHxwfJQqIX E/fCl/3Yi/LRFdaV9QZDfoUOvu/CfuACKZRe+NKf+ge5YONyawoJ8bgVKGX6 xtXV2vbOVIukEHoQMLiqFO1aVUd1Y3Z2ubCnr6amITM6mZSUxWnvLAFntC3r VmyG7TXz1NQIWUB+gfd8T/b53pVy7wPne2fme3TEqmP+cH9jb3d9b3d1c8Pi sJvM5pHKetFbPOUp+mPY6Uss80/uQVlVTVcfpzDndV0thmnz79tMcHh8mFTK R8ADKYFct4hUUlZJjDA3XFQpKGrKzqlLbeip2t3fufzRUUjn52fLS1NKRXtO RVxacVRqITchj8PLojGTghDO4Ylo4JMYER18WN9W0NxZMjcPWWeQBm5bs2Ki ISgixPhioz3ICYHsJPwtxSGBbNbV5YTCyIL69KubFUyic1i5FQKwe3Jy/Ek9 j473KyVFmzs7DR2DSXnVgczEUEH+/30fU9feW1jdJSpru/qmMBhe7+DTB7G/ 5zCbZRr9wIZjYsMxvrZitC1p5+dGN7cgJfA/V/rdfGfBtjJtWTo8+pj34BMd /sXF+cSEUtxcMHNtULtJ9vIfucloVNbc/X/cgl7imHA6RNoLLM2TxnoaSKXF sghc6n1/+vtgKj7G05XuQ4iiLdv1drs+tyQuVRTa0VMD7uf2zr5U3g8GylFV 18TEEBgiV22G6RlFVCbvIdb7Kd4fWYzPm4NPyGbUtRXHihi9g01qtVQm761u qFldMSyAaRBsvlleUK2tjluXxqSKNlcm3oOJDgjDerEw72H1ERzRBimR3pAw +GgUNzU4NTcnIkEkbm22LmmnJmVQXNUolCNlVN4Wl5NwD+31+jNPb1ibBCmU XhD8H+F8cDymdVEHEGt/2wQm1F19HUXV1XFZ+c746O9cGW8xdFcS82EA8x2B hY+KZwpYWK5bZCo5SRQ6IGuHkwV9jS/S/uEBLiYCE4Ei8XGBURxGAj4sCVmw IygiKYgWhwMlPCnoRqcE0RG8g2ULMGwhOSyZSuTh31HwfcqR22OCdgMYSQFg Qw5Fihl0feB2QZqHBdVnHu+q5vaCzIKo7EJ+Vn50dV3myLB43DC8MGeYm9WB g9jtc7eHhfuxy4RSIS7SLyufK24v6xiQiUqy+Rkh3FQSUkPAbIz4QKVB9kNu gZr55oYdYJtG3QFACIqKGutCcGjc0K/TdMuGGwEpgQ9B3z6m6gAotWKf+2Hf Au2fnR0tLphAR3F2erh7sybg3S98DXKnW/uXfSvOL86HVd0Uvq8OzhqKiFTZ 3dtbN22WAdAFz/HuQwSUYjT0NTcXaLXdWmOfVNmC4WGf+OEfurIfurHuu7Ce etNf+NPvObNvkQmQ0vdO7Jd+HE9OQJ+y6eJy4/Ji5fLScXS0OG4eksJaI3FL XoKIUVARR4rFvKa8j0yh5hTyAUunZodX12fYrQbYG1DTK21o7Str6Cp4jaKD w8KOJZBG9w2KPSBrXl5WrjsMR4fXcVilDdW+zHBPKvMx7Ct4m/H+VRBbOzmD 2Be+obHyX5XLa7UAFDhmt1saGnLDUoJRUe7+8Oq0cMi/Gz+bVVSXVtqQ1dpX K9MO7v3dePwvHx9st7dWTUZZXlViajE3o5SfUcrLLOVnl0OwhESchaeFAEBK K+bmVQmqGrP6But2d9Zvfw7+Fy1iYKI9CbF+oFa0JJy4pZAUF4CkI8DxvT3Z r0tacuets2FJBLvt2llRNaFAhTpNTWmv/hkPHBweA8IYUGjGxg3n5xe7ewc/ 9Xb+lnIX3ZGd2QXTmLanvKm0qqW0rbcBXpZ0TD+pufzRHUB99xBoFPf9SB3D o8YZS0lTp1xn+vLZ79hD/yO3Arevc1pi/Asc+RmGeZv254E/7T2R+j6Y9DiQ +gzDeB8S4sFEvSXSgrjxgeExqTk8QEeFFcKzs5PTs9OtzXmtdritp8k3FNs1 ULG5ajKMDzGSoh5hfd5TcXBgPvpVCIbIJ4QlM16FYOkCmhn0mQpxVnGO2aza 3ZywLWs16s4li3p+TqmCIkYbJZ1l1LgQLzYayokUjH59x1X7BTHQiRoQmcJw xUX8z2va9x/oXEH6qAJaGgz09g67wW7Tb69PTk4rPDnB0AqAdxa7eX0TCgfq 84aEfU4MJMSEtvbVW+bVyHC/YoPcyKemhyn8iDcYjD+dFBzjFxBKeuBHZgmT d3bm23vK0nPCE9MZOUUxR0dfXUtEYmwn5mYoiVymgBiWLhhS9rAg2xketlgF UWJxwbyPdMS5USuBL/DTKcVVwo6u8sRsZk5ZSmRmTGpxdLe0BRzwDM4bub+/ LZc1SYfqwXbaPLyxvjA1NTplHv4kKtC2DK1PMTM9otF0ZeRxASO1SUoN44qV VevWzubxyfHZ2dnt6ifI4GWcGQ9PYxZVJg+PiPnJaR54BimaCIAtPDnIM5iK orEWrearTyOIr3d0mv4JY//stGJqUmqZV4HtzNQIFB4+p1Qq2kwTUPVs1omd nfWpSeXnwAM1gfOtUXnT0uL4ybFVpZScnZ4cHu7t73+9uUBv5eLyo3zxC6DX XXUsqtVdBZUCehyqubNsYlprnjOWNGSlF3Jb24sHh+o1qs5J0xDing0H0esU itb6+uyxsU6HzTg1LSPwSd+74x+4hMIghOAQZGL7JHrosQf7z++D6fw0aBG0 KwBI9qurtZm5kab2/KLyRLWivbhKwM2gUhOCvEO93DieUSm0TNgOmw62+VHV 4owly8jcvOIVivKdB8opGOsUgnngxvjIYM6sZ/6kADaztrVue3sNvEIF9a1O wYwnKOotGkFLwmEZ33kHk2LTru7Mo6/+zioVvxeBrgt0R5YF86RZk1UUIxCx eRk0RiIWEIhP2HsP9ms31svwTGp6pWBueQZatezvZDm4fZd+qGS4aOipDOS6 OdGeuLNewdY6J99wJ4BhiBbIN+KDB+eNK/MlOBGK65ZVk3R7vPNLyCBe3CQq ahKZ5ox+YeBXzqViUVZxDKjYtd94FKTyWt1atVnnFxenkbODyfuQqqepueDg S45SSD1hOPw9PNPPrw7RKTX2tDzE+gYnRD3B+Yam8cAEYVgtPf+HwH95s/xB 59DQcwzlEYr2vR+FJhBR+NH3fQms+KiNTcfB4f7Z2eknPPb7bR3/loCxT6Yd is0tuudLAn3Lk0DGUzTjBY72Gk95jIJWaH2Jg3RKTwKpHjTGOyLrvh8lXMhO zWYvWadtK5ZqcW5eeY15coSZFP4Y5xOVyQtP5ztRcS+DUT8gk5BAXw72PQXS BXGE+JauIn4mTaZo6hvoLK+rVyq7lYpWeNEKMaAjrbqjvKHAhR501zp2YyML xHAJ4SkkWgzhtT87Ij69q7tep5bcLoEhh1UckHlFJQmKDXuC939NwgAieh2C /BwNKgC2fqFYTCTag+HrTg+IyxMCQAJDg94wbDBK52aVekM/X0TF8V3oQhRT gCHH+PBTw3KKY1ccxqur42XrzNBIR15pwvzi1BUSdvo1TVGRrmNlfc2LQxoz GfOqhZhwvzAhITwZT0/Agcv35WAiYO8jjvBadxQqxAmyWXnlcfkV8ZnFUW2S 4sGB2ogUAi+NtGyfv7rjFG1dnp6b1U2ZlVOT8pPjvd1t69/LYLNiM0yZpfml 8XCEWhTikpRVwANgWVUvQtjytjc2T+vLatOzC2PxLBo5nE3jhvuTwsMTWdzU kOfejMfuYQx+QWF1580FXl/p1Kzx/Pzs8HDHbjWtry0s3aiwrNdhAlCGUsu8 0rEyhaT4/uxGQerlSZPCqB8YlbeoRjsuzjcA+JnG5Qb9EOSCPiHfg7ME/7Zd B3Lu1c31mPyMkpbqy8uDqYXpta1tOAxwD/ED/Htycnoibi+UDTeAy+ntrxka qEvJD4sXMUqqhYMD9Z3dZVAc2bBYrZKAyYV2rEvcltfUkt/YmDdhHABPds1u bO2p+ZsL8ZVP5PfOjAcu7McegFWYn8dWw45Jof/9Fts+JJarR3XjapiRVkA5 OlpcXB4bGmqoby3oHm5NyuEKsjj8NEZW/vVbkZ4bGZZCiUoL4yeLGtuaQ+Mz 7n1gwwDG+CTLDfjwOyfGPdcQ2agOXJ1zCPt7H8ozDOtOOg5oLew3BGZUVvH5 FwwXfwjRqgcr6rNI8QHEOD9oBVghjpVKZCTju+XtP/mYUm1/c39tRXuhsITH TguBXb49r5fHjXKLTCeLymJAV9PUU7G0ZN7cdOzubhzeWc572bFosUF6Y8BO zrSnjBS80aTipIUAWAIHAZX04ryt6Sz9/LwA+Q5gldc/aIPIPyHh/1d3+odv R6AaT07rZIquqzsJDcB19cm6aiV14MpU43pyIr9tqOefHgsZjMb0Mn4SLTGL 60RkelBZzBhmYmZ4kojHSw4V5qaUVAlXrmNVfqYL+LVuOoyOv95oi7xRs0uO p2jqUwykLHoZRH6Opd7tcJ7B29eEkNf4kIcBzIBQEpHn2TNYdXmxl1cq0Ogl OeWSpg6xBwtACOYp3v9pkN+nepsQtCsdciV6EYwm8gCZ4LHc4Oh0Qmpe+l/f 0f1JfMW1l0gz7P0r0ej7/SPpj7A+7yiQ9un2OK+CA31DccK8sIjkYE4iprE1 36jtUo1C+W2gxQsUbddBxLIWgFh5FUnebJQPB+vOxDjTIC56D+WXQLszMJ4s DJFHEORG1LVm9Q9Xr9r0dqvOYdNrdf0qnXTM2EYW+CblhguzwthCfFNf8fBI U2o2JymTXVgh2NicBIwEbpptZWl9w/GPYf43EaSB5NZXxRdmg53U8nxnindU KiGEB9sWSWhGAg6J+ocSM6aGQJiURIhKDQlNCiLxfbNLY1Sj7XFZdPCFUVW3 QjeEpML4vAmsrtnVmqGJ8cFPNEhQWdLMzvz/7L33VyLZ/jb699zf3rXufdf9 5jNzJnS0c7dtzqKggopKTiIqJlRQQQyYIwLmnBCRICoIKuaAObU5311VSqvd PdNzpuecec+5ezE1BW1V7drx+aTno9ZoGxBnpPRsRpqQzsuigDYEXw0j/bu7 197ayG3XN5Yt4wZ5Q6lrEOGNH/mpB/kHRxIqku0eQv/JCfJ4+TeHUCdMfF27 ZtG2jKwn65srOYUJncra9a31s5N9s1k5ae233a/J0MKcftlm2Vib2dq8n/b9 YH/dOq61juuUPdVwaFWtdbwfgIS+3hqENwDgiu0t5Kp/5JqLTNLqtsaXYQFO UUGhCTRCKmdlA6xvx1WtVd16zdrmxvTiwmdreQlnhRgf06r7FLqBBiSyHrxa v6q2rb0M8dHSa5tGhtphN6H6zo7K5uai+Vn9+ooZQbkL84Nt3XXe4ZznPtTI +OgnXlGIEukedHngQnnkhRVWpvJyCx67U7VDGgCQLs5Xri5Xrq52IFXSlOH0 7EzRXJqcRRXmxWTlxty48UeniRjpYqYgJ94vkvY+iOoSFPPQlfSTM+mW/c5O AwgNBo8wcmIOJ7Ms/zmG9DI4/CUWC2S6pwGENyHEV8GQJ5JHRER7Xw+iY/i7 d9c/ssCKF2h71ZkH3Cmv3CgvcVy/jZ21k9Pj07OTq6+AGQsrc7b1pZPT09XN 9bPz+wl6pO1l5c2S+Fw6OuajH3hgjBsu3oeSGhIrJAdFx2UU5k1b1aPGrvm5 +9Yc8Ij17dWSxrykAraiu0ptVLqTXwGgBS73pAGAVHx51x76pxI8/7hydna2 srJQXp2VIWbVt5S1tlX09Tcrmoor5TnCfM76xmfYpX6hII02bDali2OE+dEp WSwwy0T57PRsMNFY0TxmShZNKOFu727t7384v/gl8epvKL9JofcbYdVn9OR/ NDBDRPjY7GIvMvk5hvg2LAgd4+pL93mGjrxFIh352JfwDBXxOIDgFErCcvyI SegcaYqiKV9aJ4Jl2Ksl26QfAw/n2gt6e8M9ckvtAyGTl2HQMYCBccAGeFMD mDz8U0/yE3dqS2v1oBZikAP7MlirB3XNzMz4IA7Rh4EH28HLu1gL3N+ZEBLM DmSmhrS2l0JLfZ8CbG12Ghytrnl4tCcxlxfAinAlogEcAgAJICLEkellaOCL UNhmF4Z+G4GNzmBV12UYTUrDkFKj7dLpe8bHBvJKCx2xACfEqjV1uUUJdU0F Jyf7S8vTBWVpwjz26prp8nIVoAN7G65t7JTKO8/Ozi//TNmdltfXPhzsr25u uBBDw2PRzFQsgcd+hgsIYqPpKWhKMuSSxEjF0lJCSImBVIg6MoichBbkR4P2 zCnhgh+FhbEAiwoK45ClFSnIgNncWu1RNZTXiJIzSJm57LaOMtvi8G1VksnY Wd8oKSrjFZSm5BUlllXxZbU5zR3V9S2l0tq8supMaW3+6emJ/Z7IyfnZQWtn BSoy5pUv7ZEb5a+OpB/ek5Bt8Y0/zTGA+tInMjaVNb8wAea1fkiZJqSlCqkl 1ZkAAi3M6ZCQ2E9j1ddWJy8+tw6cnixp1HUTYxq9tvnGkbsWQelIWBzA2wf7 c59e+PcvyMZhtI6/Dkc/RHv5swgLK+Y8mSQ4jlnaqHAj4ySKiqvPx1Re69sH dS12tihIVauUa2DHaSToD/ld2VvT2yvV65uaWgobmgtmZ3QaTV1XryIqRugU RIsVxb0Nwv/gSH7kRn7sQQII9pEb6bE7AUFHD9wjA5lBIZSk137s8alhiMoe IrQH02Rrc8usG2was8LUwYPd4qKkdDFLIGbBxjWWKC+GlhLuTvVARXuHxITR eQmkFCYuhvoKRYUiSWFc9MSDBCDTz04UKFzOnfLAmfrUP9AxytGR4PEuys2J 6AVA0WNU1OsQsnM4xZfMYAmEu7v/ohnGkVfeP9ofMCoLFSJqemhZk+QrrwXT JL2EmyhhpRbnBrIpW7s7tyxZF+qR3rf4B+6Ulz4Mx3skSwFsN4Bzwrg+r7Ah TZ3Nq7ahmenh2+j0nhV4fnm2WVUHHidRCH0ZjqQ0bFCMx8iY7uqTLvvn7kHk 7YaHVeXlfDhRbEZJaWppWVqehAvAkjA3pqmp1DCi2t7Z3NxcPTzc/5rWQJp9 bnFGJOGC+YXoaQXi6Mxc6Ai2MEFOdH5ZZnlNNlg5j48Pf1f9YSP2+dmpbWXx /KuhETIYPl3/vyZqYGphfsQ6dnZ6dHp2asfPf9wgQW68srEZHJP+ow8mIgmN T/TxovrcVh+5RDKeepMfuJOfB0e+CohyD8UTUlDEJIxYEre2Zjw93T47Pz7Y ncmpzPkR5e6A9XchoN5FBCAmrdsY6RUUjwZ7WYcFupMDyAnEh27kDHHOyGBj PxxCDrZmIMlubVqODm0Dhl6AcFwIQe8j0c+wfghGAscnwT74+BBWGi4uI1Kl qh3UQf63w4a2IUOrdaJvZclQVl/oSsY9w/o/w/kjcXD2D5SMKSrQm4oOYWPC 4oICGP75lal1rSX9mg6NrmdoSInkK3EPicYQyMkCsrRWtL0zLqsX5xYlLS5N H58ctXRW96qaQN/KGttZKZIkUXVBdXsAkf9/fR9QIuv+tcb+BxRecb4rwT8q zje/Js80Ne0U6SvIZ0prsxOERHLydeA/AEXMNBzspI0uqU4T5EUTEwKYqbjY jMjIeL/sksRtOG4CKcjY3tvfBfMrjheeLqSnZlFTMsiF5byJsT44s4x+ddkE uqOrs9Ju9IQiE4c6x8z9w4auocGOQX2rZqBhbvZjJugPe2vlNUXpOflZkmJq fBqWGouKYIGN+KN/ixv5qSflmRc1JiW6sCzRtrIAqpFbnATZ78Qs82jX8uLI fWgEW9mmpnSHsDlv0TZzk4H32uA+Nant75MjgOEmOu8ObxIYkHsf5q/+BEp7 ZAXY3dsMYBNeQiEPkCQCTuJyBa6k0OdYn6kF69UXForT0+Mx8wCcbOUW6cHn curJ6nMULUDUDE/KIKcK6ZKSZG4mkZESgyYwWfxoBx/Cd68pz7xJr3Def3XG uofEuoUwH7oSH3kQHjhTAFh65E76y/ugxl4Z6M8rSIjYVfbX1DbmNXeUGy2D MNff1e6H7fySZL6InnljXxPmsuMzyO/Jrs4U1589Qv/7JekHp8jnfoSnXiTE lgfg8euAqNfosFdo3DNUiAfFz4+O9iJjaLxwWkoYMQnHzSRhWTQHNOl7jxAU I+ldKHl0AtJd/IvoH+wFhiD3B8DJ6fEWlDvyV9x6QVudnZ9pTf0oljOW6+tC RGdUFO8d7F/egPMrOPSek00mpQThEwMQ4xpCOBkQ7YqOgQBSEMczTpQyNwMl x9zeXPx8Je/WZP9wb9Y2Pb042atp0eu7r/7ZEdEnBXpZtbqlokKAZPeQyyG2 xmqpsLIqs642vwSApeKkgYG2pqaSD7c4Un7xlnBw+oatuEoIiSG5bEQYybjl 7ycQM+NTw7WDv6vB7VmD5U2VKVlMRnoWMUWcK63/yhuqVE2Tk6PI+fHx0fkn 6so7r3R5aRrV7O1t6y2jgTHUXmWDxQylEDUa1XZn0T9i5MAz6vLo+Jials3K jFYOynBcL0+KPxIz+wgV9T6Mrh/qfuFP+9EZAks/uhOf+mAC2O8TBeR+taK8 RtDaWXp1tX55+cE8ZSquL8mqEMbwiX7M0BcQyf+1fe1dRKAXBYP4SL8JD3wO WcqCGanB9JQwVZ9cq25AaJlNIx0H+7NXV9B21qlVg83dOmMZGe3HJ9IdsH7g 8mdY37hsrlbbUFjFI3EDdMNtF+cHJ8dLF+e2y4t1sPqCa0+P1xStVQjn0qfx awCnOUZCnJN+9OBiKX98vMdk0tQ1N0jraqvl0vLqsipZhVbf0N1X0dxerDM0 w5XZG9A11DaXIy12cgLh3uauwf/1c9C/Pw/9yZngi4/PLS7TDRkvLk63thb/ DFp9xB91dNLqQsLSU0MZ6cTtD3upxTkYphdPTBlQN/DEdACHiAmBBRUpXV2V iAu3PS0s4rbNhPVLecXxS4uQq9U9j76V1cWe/qb2bpmsvkDRVCyry5uaVK8u j9oWh8csvQCDwXrd2JzCeLDPFpenVdQItfruo8M96HO0D44nx1C2i929g7HJ RevMbHpOiSuWCyuOogA0euJ+1/nE+drOEs7gFFYIWzsretVNjW2VqUJqXnGi 2dwDZZ+/ReGO+CCB+qg1de3diu2djWQBETbxfzS7mEaUEGxQf8QJBn2zneoZ fIzDrft7tn9QH94pCC7Nl1cicwohhwdHhxDfp8E+4UnRnx111+bLtYXe7iq9 tuVXiDRVteKShMxCTm5JApA0s/Ji0kR0empkblECix/2CucBUNAbTIQD7k0I FwybchyN98CF8AIT8NQ74mdnJLqN8j4MNTzaAnq1X1vb0FqQXRBfWp1lFxWR MjFlysiLhRdtCCPxsxlxAlJ4fJAXzcOfgnMMxj/1ghCX3az2AOJZAjCJ9MST 4OAX9hIT5Bjp5UZzYaZGiPNjRXmczByWIIczMTNbVt/c1q9T6oeX1zf+Th3z pymf7g5Ies2vuRbOwnnVpFREJKM9qAFv8f6vwwOeY/3Ck9j3xtXF+fnu7kau lO/PcgYYKSzBPyo5MIzrL6lKb2wpDY5m1bXVzs3ol5eGlxeHzk6+mKXis2EF CIT+FytQI2i1HZWVmTJZjj3fR1W1EICl4vJ0IP3VyHLkADvJc4FwYb/kV8vZ +WVxlZgvoqaJmGAu2wHSjddf9OjY4O+qN9x9B4e7bd11admx2fnMQArhO8+w /3LBFCqakcSun70KlMXFqb29HaNpoKgoaUDTdnxy1NUt7+mpnZw0bW6ufsmO Bnbqjg6IXYeUnlggK6lRSAaGdTokFHdi6PwcshGApeYPAthn56c7H5aFlQne 9Nee5OCnAaRnGMLPvng0kzs9rQ2hJ//sRP7ZjfA+JJqVykvKpSZnUxOFlJRM mrRWdHm5BoMTCKJMz6g7Oio9qRDx0VtY7QNAkS8NDdE83uiUHCNQSdkUyPsl GVOtEEGqfnXD4sIQzDx59KkUpDePwEQBAVUttSdHW6MjvdzMKHycr2WiB+Ja udwBDXMFp9MF11rnZ0O5DB9a2MtQ1OvwO5Y+OGFlwItQANIC/OnoBBE5JYdS VpPf29c+PzMwNtql19SPGJrHzL1XV1swi8vmBQxr4wQVlYra1ZWJ9S0IrBpM k+WKTnlT17uAmPaulv6BrskJzfqKaXFh2LZk/FMAJHiQZFaWBjID0/IYH/Z3 NaYRP5ofnRdE54Wq+xUF5SmEhIBkEUXZW5OexyQmBt7GSLfzw2bkR4+O9ttv e8/EPGRU9ahqlerm+uaSlvYSna6hraNMcG1AQbY/ZmkVv7G5qEYu6lXWflrV zZ09NCnlsTv1tT/njT/7qQf9ntvJXZhE+u4t8ZFb1GtffHah0DKhFxcmiAvi 5mZ0n+bXs06o5mf11nFVcUVadgG3vEZku06sAHUQQGgGfRvi0m8HSMOGNsto d1+vrF8pt4z2n59tXl7+4wMVkQlxeHzkQsQ9CPR8B5PMIzrVt3DWbw9KeKta iSxK54iv6uXlxU2+wO2t1dmZ0clxvUopuzEgXhsTP6IjdV13d3V3VxX4sbw6 wy5yCvM4xEScI8HFheLmTvaPTieIq/gagyqCKfjuPc6V5O1NCf3xPewaBEXi U176E5RgEhk7SquyyqWi/YMPSGvfQ9eVzeVJGWTEDUlSysstTMgrSqyUZ9TU i4LjA15HvHse4vnQPeKT3qf87ET9yZHxyDsMxUSlZtMyc8FIi+aLmQP6zrtt dnFycrS3twWg+NU/t1LiVvzRASR67B3DeQ8v7pq3fuF6e47ytc0VvVnjQw+y J7BzCPHDcpnTi5ASFY4Wuzw+PpidHsmv5PnS3yFJRgLYrp0q6dSU0WodHDb2 6Q09Gn3X5KTGNKrSGbo3tja//Ojrul2XPw2fxt+5AFjY2lpRWpZWfStdrFyW U1qenpXHqazKlEG/iCqrMszmr8pRi8y46VlzUgadJ+I0dtTll6SkZzNuoSMW uHO/tuOe5PJby+nZyYBBk5pFz8gBN4xBUagP/QnPMOS6Lmi/+AX9bXuntL6h qLgSbKsZ4GVb26uqqrKqqjIrKwXgaFua+RQ/29ZXz87PABaamDR2DWqDOZTM QoFTJLpGns8TxnLSWcoeuVbb2dxSvre3C1/7LYfTta7s8iqKFxTM8XUnMJ4G Rr4IIn3vFZqSm7e3ZVH2dzxxp/7POzw1KXNxXj9q6YkVR7iE+3hhyY1tBWen K2entosL28H+7OhwO5Mf+wzn/wLn/wzr9yIs0JuCdiehX0Kw5JoW25UQiOdG +tFDIuP9eWLquGXg6GgVwleXh7dfCzF8g5fNqiwBYvJznP/MEuSJun+wV1Wf WynL1Gkad7Yn4WCZD1cf95FD4+REe387icew2+Zew5orVyLKhxbsSsTg47Ec AT4uk9zRIzMYeqrkMuNIl07bBFv6GsDGen62fHkJ7rmzszFutOgVzRWT1oH+ gU7doHLRtqBo1Tx2o5rNatvC8DScV252Wr84D8VHb27MnJ//4+UgZHQNDPeT EgNmYONLjFgQwvYlJYWQEtGKhvxSKZ8jiKxrzC+tTid9GR0REwIk5cldnRV1 HeWnZ9cqULACD5tUTW0VABoJJYmkWP6Arre2MZeXRY1Po6eLGMj2CqZkugj6 CqZPhphpNKlPTyA9KmJoRmp4fHJSrujOlFQ98SD9z+vI799F/fCeYFcWfbI/ kp940J5700IoMa09Bu3ggLxeohpoKpcK4LxddwDS9NRARU1mcUVqTkG8MD82 VUhX1OWPjvQgCcfB7jk1OQQAA+juuza12tlprXVCPdCvsE4gEtY/ft1Glpr+ YUNEMkvaVuUYGWQf1UAGAV+/93UWVpV86XLQ4FMTg1WyTEVzkV7fBt66X6UY 1DbrNU12zk/EB6mruzoyORzHCeTBCWIEMBE6O50QzEF7M3woSThZXe6wadID l/rEJ8yT4cNIT3zmSQeo9SFsCAMnTz1opjGohYcshtruz+BhpOstU+aUTKoo nwMW6rrmEuuUaXN7raSmrbVnUKVVVzflRcVxwYLz2WHw2J341JP0xIP82Csi mBHByyJ1KiFiQIAM+wa76lpL9/e2p6aN5tH+6anh/j7F1ubyFaSo3G7uqj46 /NOlUPyt5fILtE7maWNcNllclhiXQx2H6CyQP764bbm4ve+ASXh8/LE1ShvL vWghnrTwt3jUDVkc2oXoI6zKW9/ehJkMoYeC3dxmm9reXO7WtASwXRgCnKQi 1WDoAKsf+ICVEAgmACB1qVrq2+ryKkurGhsODnY/qy/6/wtSQB8dHHwYMQ1U VWfZAZKsRgy+VkuFclitBLknVWRYrSNXXwGQrolTJiad8XRpU720NpfNo6eK orNyP2qQgGQRl0YYtVqvvs4SfXnDKHJ1HQhwqRnWiQq4ghw2mMLIPfni6AgO BRsdWyBvME7cT6eL7M7b2+saTcfUjBmgQWEuR1KcLJfnAJgkrRHB5sXcigr+ +MTw1Q3MQ+7wYX/Pn0XsGx6saq59g/NmiwXgqycJ+xqPfheBjuBSXIghuYUp shrR6urC39gNv/z6cGXUI8pAtuvgSLOkuvTfnYMgg5oPvkRWtbtpGRtTu4XE /vvLMH5+weaqaWZaNzHd19JR+z6Q1d0rM5s6LeaeuTndwow2tzQrnEvt7JH1 6FrSijLfR/qjGBgAit7c1+Sg0Sx0gojATMVJqlJgdAQ+21eXu584fFxubG+p hnRAUs6WloIW29paNehawWa3sWG7AGjkchO69pONbHRc+yYcZWfPfhWOJqUQ 0/IY0fwQHDPyRyfyuwCWH54LsN/etmV5acQ6roJSuY10LdvAOFy7uFjtHOjg ilOcojDgLYI5xLbe+vnZQb2+SzOoyS+TR7DSlKr2rXUTnOjWMDujn50b/ZOs A0iHtirlnf0N8NfLFmUdlu1LTQmJ4mJcCZjGlpIyKb+9ozynmPtZgAR+ISei eTl0g7YlQ8JmpIWC1XF6fmV8ciE+oywgIlQgjhPmp7zxi8DSwbBc4vAScFS6 M4aaU8jOlkC6o9JKfrVcXK3IKa8RDpsGPlvPw6PjJKE0jJnhHc5xD+E4Bsa8 QUU/86I89SDfdkC6sbOQ3vizfMPjIqNjJOXlHd212RKOWl23vDhyz7gGkGpd U36akM7PZvLFTLDXV9YI2zsq52ZMOk0zwEhjFg2iTgEbKKxIqVUp5XBg+9DQ YCsYjfNzetNI363d5B9PoXN0fHJwCPb6fUZWwg/+7m/CoQyDT0N8X4SiUGyi rK0pMbcsvai6rktV1thR3tCkHRo4PDpBNKu7O+uDRpVO397cWixViHp6pIUV vPKaDCiETdPU1l7a0VFu0DZX14o9qe7viC6stEhhXowA9ljIzuckC+nxfGJu QZx5Ytw3Ip0rKiBlRPUNqd4HJvzXy/DH7tc52h65Uv/rNY7JT+/UdjgRXfjl ECvyfZ9b2Ktz3jYjKkpKSI9ME1JjknEmmL5SVNTgEZroGBiLpQhYCXloYsJb FOWRO/EOSAYAyYPgHoV2iQh8hQ6mxtH5YlpNnQQZ8KMWTVY+a8TQVVGfC95o ympQ9daYRnpXV+eGh7q6OsqQuCq74/G9Fr68we5/px797eVe3cArWK2GFdvU nG0mMMadmIIJifXOrUzRa1v69O3gjxfmxuZvefrd3OTi9Oy8TzewtjK+vrUi a2sva6xyIQU5wGPpozdCBNqZ4FrVKl3b3Lx5+PXTz87POzRNbkS0DzlaWi8b AWvm4tDy0vANv8cwkpR8cR7Ij/rlZevfo2n+Dy7QUBzQtFfDZrXbGOn6RJZT Xs5vbC77ypGJ/Nnmzp7BPN7YUlwhy8nIjQXoKD37I0DKyotJzqB0qSDSgF8F SHdwzrWycQvFTCUnxoJVIlUIhCkEdEXDcjHrPTbEnZi4vL55B5DDT1HrOkU5 7JaWskqpsLxSUFbOR+Df9VvLsgEszMqNmZ5F5uk1f452dPhHlCuZnxAtSn+I 9nyJ8wfjE/Lhgdx1UN7UUD96OIoR3tRYvLxma1Urp5fmr74CSX5luVHPgoU3 skguPtyZLqgui+Am+VM5P/vi69vrwFBfWx7JyCv5fx3CpHUKcD5i6mvvbbEt jrxHx2RLCkxDLWpV3fBQ+5ipW9Fe3dBUur5iXF0a6uisiM2kv8V/6giEfhrs y0in67S1TB6WlhJkMnWur1quLreuLpevLj/vrGWZmVQNQzpGKE/c7uYJrEmG X+Do6vKOqvAccjg8n1teeh8VDGDVc6zfk2DfFzg/J0JQKCeYkYqhJVHwDB46 ivs+kBnDEy0uQKSCBn2LZbTHbOyam9Ls7k5fXW3xy0R/9XN7DRFdYp5hfYNj cIahLo2uZ2XJsLw0ZLGoBblFVQo5EtUO9mizRTM1M60x9R+fHNnHxsUNl983 6azfVBChDwnkbFW1BjN9otOxzlH+vMLcPqWsvEYwqG2WlKeQEtG3ARI1BSIB QH7JKUkoqOCRkwKj08KMFqN/ZLqDF/MdFE1GeR/IeO1H+c9XxCg2J4LF+u5N 1EMXMoXDDKPTybHQlBEXcIvKUwFMkipyVJo2raEHwCTrlGnRNrO1tXbXJe/E PK6N5uVFsEXhLIFbMNUZQwEf8JR7OgSAkX5wJP73K8J/vgwLp5OTM+iVsqxV mwlpf4QBaX5Wv7JkVNTn8rJoSA7c9GxmpTRjzAwpfoE8Cz6T1qHJib7NzUnT SOegrhl0PUBK4xbl1eXq1KT29GTz4vxgYlx/zyniFzrx75XA4qihV/ZzgDtH nJRemgnkJgqf8zTYC80iO6AJf3EP+ckn/HtP3M++4T5EiiM2kpdfSEvN3IWJ hQE4LJemV8oyJywDOWXJOLaHpCIFgCJpbXaVPKsfIgFoqqgRYDl+gWwUT0hH NEjXXp0w2+eQSQ0G897+0cnZ4erWGodf5hjI9otM/Z/XeNA137+LeuBM9SJE OFOcHgY9SSxMPj49/uzIR2TJ+eV55UBre7ess7fu+Ph6LmdWZvjQMc8wPj+4 +z30DH3mTYQAkuu1q/aNIY/80pflhosJ4URlFbJ5GeSGVsg/cHJubHV5GvR7 U0uRRt8OwP+1+z0MgzX9dd3dVUpNy52aXHOqXNpr9WcuSA3nlmeGxnTQpL68 nLYaBvrkw0PdrCwCiuUcluDvw3hf11KQUcQJTwwAi+TEWN/0pO74+BACRaf7 65vrgybjh+05y+TU0Ejvxvrkqm2kWFaoaC3LLM57hPEH8vhdnwT0c6y/CxEj UeRc1+ESMrTtfNjil8YSeZFvwzCcrPTWnlZFS92wUYmwyYH1cGpKZ7XqwENm 5yzWacugaWjYYjw5+V0BU/+UBZkdq2tLpaWplVWZ4oL48soMufyjM1JNjVgq FckVeds7v8Gtzj7pJmZmxcXp8WkkHwKJK2CK8j8yj4kLuWvrEIHA14z8s7Pz idmFyfmPhAPtPXV1rTXNXQ0F5QL+jf2OL45OFUVzBeywaOrY9MzVrbhapErT s2PZ+XHSamF5heAONLqGguK8osQqRe784rUC6vI608FZWCL7BQ5F5XPt3gV2 lQsQFb0pECM0hk1wJeH+w/01MY17enb2rRbka5BmUpfWCUZH9RPj6slJzfrK CCkp7X/ccL2qNiAObK2ZKmQy12DOxPgAGP/gbwBUAAihtbNFUS9F/Bn6+2pH jV16TaNltHvZNtLbUzOoaUjOSXmGgxgjX8Hv9QZS5mAQZ2mVtnXGqsspTcwr S9KqG3eQAXC5D2p0r4aXV1/0+PrSjzNLC6hoEuzLGhgSRyGnsdmZjBgBPoqL is8kDPQrDLpG3UC9Fop3Vug0jQgPjF7bWFpXnFXINxnaRs1dHBHXAevvGAlk Kz9+IU832DA+rm7rbJ6d0S/OGUCzABzY2dMK2gFIT/MAIJlV1nGtqCK+vld+ dYNMblXsm3TXbyuIZA3gIiMjnpaM9qP50TLS5hat7PRQZa+svbOCehPLZvfQ ZqWFpmRTyUlodnoYJQlDTAig84KdggiP3cDeBMR54jsURKH8oxMJdp0l+4TF PfGgfPeWGMGMp3MT/+0ZAU1gCPOj00XMVCEtJZPMy6QkpEfmFiVVK3IrakTl QHaoEW5uQTwJoFuNY/PZxQoslengSfjubeT3b6N+fE/+yRm686P7TDvQB/zo gmG4Y1kvfSmoSJowj93WWT49ObC6bJq09oMTgI4AXhqz9ArzOIixD+z14oJY nbbFHuwPtoyTYzDZN8/Pls7ObKD7wBhYXx2Fvekgu8Pp6Zl9awf/HxjqObzl zXL5iwmy/6ACe9id9eqVGeUSAPSW1xYs0+bzi92GnjpPQtQjFPF5EOkZmvgM Q3qOIT4OIDiGkt9gCWFxgonZRVBhcXkKAJMLs6N6k4qcHJRXmghAcn5pYk2d WKtuGNQ0V9RkEBJQTAGJD3MT8cUse6BZuoheXZuraCwatw4jlRHk16GiUmsa +96i2C5B8Q9dKd74lPfoeAdfrGOUc0FdAfJnX1p7P525oMHVg5ZR62Sruoue nhgWH+5ORjmggh/BNAJwHhPqj++htCM/OIX7kajJ+XzVYM+HvZm5Bd34RP/+ /q6oNLl/sHPCoimT8u9ZThEDYqKQCAYzYnFeXl/UGHX36rC9ewC2gO3dr0pw /3cul9ckRbOhXL/AaFdONplXEFNUlVpSI6Dzw/xZzsFxXr5MJ1ZGeLE03YX0 XNZearEYdINtC7P6pSXzsm101WZML5B09TXNzpmHjGDJGrItDpvN/W29dUDg dUBHPUEHI4uz/fMuAuVN8w5ku/iznFKKYg0WyHJ3dn52enZunVtmZQq9KJE+ ZGqhrE4/3D9p1dgVuUsLN5/5wbkZzcy0fm52+PjwN/gY/4sURJOpUjU2NpWU VAnEkviycn5FVaYdPEDqowr+9Iz56mYx//qyvb2k1vdSuLQieW1BdXlSBpUn ZMLxF5x0ETVDknZ2/lXWOvPUjB8t4Qfv0NTC6ouzPYh3d3W9o7c+tzglNTtO JImzuyyCdSM5i0WKI+eUiD651Tmov8Wiz8mPq6zKugsCs6U1IoADwaeoNHVj 606yOaQODT2tPwW4oWNIPrRwiIP6NoyHaagRy5RYWtas6smWln3Y/8bG9KOT 07GJIfNo38yUDmz9MzP6vKryrKIi/WDP8uLw5joEkLiC3J2N0blZSFQHf2M0 9g0aehUN8rHRHiCDT070G4c7wFq0umwEUnmfUm4aas8sz/7ez+19VJBjJMYh xAd8nmH9HLC+Eckx8Kufb2+vqZSymamRX63hxY3C7erqV9AG5Kp6fi7vbPmr n7OoqhRILkuLpuHBVmFxbAwf39hcONBfaw/oRugFhgxta6ujY+aehqbScC6N lsZpbSsjJ4e7EALAovE4yDshN2VnfQzM/UmrFsqJszAEMBI4h7O1DiKprCAl knmgqUsRlojahPHewdGRwTKxubNnW9u8qfgfTWxlP/n4oJLGupchjqSk4LcR mEGLMV0SXVErnrIa0iRsAheF5Ki1Y6TsorhEIZkC5WWDCCQZqTgAkFDE8Edu AB1RnriDTQqydCA5uZ54UF/7sxBOP1Qk45Eb5bUfBWHbEOXHFpTxABYqKE8F 0oqkNKW4UgDQEQSTZNmW8SGkmpw0/o+OqIdQQDflsRvlIZx46/NEzbAb0kNX UgQzJiYlhRpHh8g9cqJ5WdTiirTePsi1prYhz2jsBB3R0l4CZi6oA5i8qUKq TCEe1LbAcXP2Zjm7vNiFjbNH56erYFQDSQ6Kx7yAtEbJhTlVrbBnyzlYRC7F ZYmpBUm1PZ2f9uCNlXx/Z+9X+H7/sHKBZnIe+UcAXHSb3/VFEMEjivYYFSEo hiiSZhYnj472weLDy4seNqsAnpQ151XUigAy1EDJ9RrBvEgWUxu7apKzqOm5 MXzY0z4rl42EwIAjQLmg4xC3wMlZG1juDKbJ9r6h4+PTienF3f0PQWyaT1SM adJ8u2W+VOCt4SNj8N7+YRhT5IPnuQTHO3iwnnkywVj6GU6DC47PfPHOocFv 0Pif3cKe+ZDicxOY2aR6ZQUcG7J1cW47Pl5W6VsYqaHNHeWdXRXK3ho7dQPM YNAI5rikMjUhm2ocHwSPy5UJnCLfNit7u3UtB0cHoKZ7h9ukNNaP3mHRmRBr 0J+NIgDRBustAw090rq2Ei/aW1+YjMif5eIHB5QFsN2w8T4lUj4+EeVNf9fQ VRnE5PLyJFtr5rlZ3caKsae/tbmzfn1ldMg4YA9kMI72z88ZcJwkfxrHk8R4 EuR3j8LOjYxCx6BoAqK8s3xizoz06ciYlZmegY9LwXF40YKsycmBteXh2xyt C/bPHPSU9RXTxur40so8uPq2tfqjg/a/cAGvPz9vBSKbeqC1sjKjubUCHBXy 3PJKARL1D7729jUi6fa+5m6XUBqFzYXltbND2/KioV/bA7a/7fVxRXOlpCRZ Vgep1jNz2PKWhq+52/nFRYyw6D9dMD94h4Vz+ctLI9NTOm5mUkomq7AsMSmD wcu6NrHdeDexU7IYyZnMPpgV/F4ZGu4rKeXd9rZCjInVUmFVtbC4NFVRm38E zcdr3REihzb3KyPjKShGxIvQAH96+CeZVRGFEtoh2Leht/M3d8CvlePj/f29 td3dncGhgRk4bSUkCCyMbG3OAxFgfhbs/oMbq8bapnqlqmNzbXR2Rme1DgDU ZDGrR0b66psbZibVhsF2G0xEYxxu12ubEJ2SZbSHnM4h8aKp6RwPMk7WWtHW 10ThJzqE+HpSI8Zmp8HTDw/3bEtT3zbrKzKQDo+P3kVgevWaK4hmZye3JAEf 65sgIq2vTZmMyr4eGaR4V9drBq6DekC1bbZhsJ7IG0sfB/u4EkPcSMFIWtuX oSg3Es5qVa/YjLalIXvAFGgcs2VgxTZmg8UlsMmuLxuXl4ysrHCOmL60Nl3Z XPHIHx8rkqBZyTsf9k/Pjq9uaSG+1fvefmu4gKdANovT0+OpyWGwxecrqrPK xaTUaGF1xfLaXIE0A0y3xZVZWnJwfGYUlPKMh6UkYzgCfG4RN0sSQ05EU5OD YvjhoqLY6HTIBsoV4nzx9L86kh+43kcsdja/H96TfnQisZKY2QXR2ZK4ojJe jSJn3Dqysrp4dHy4+2Frbd22sDQ9PTs2MqpZug4ou5yZtZjMqqTMlEeuX0hg 4QIplH5ygj4ARIHzv7wh/uUtBKgS0plZeVC4HIyCaE3NhW1tpTlF3Jra7DQh gE8sea1YKhdV1Igam4rmZz/nIXaJ7NEw3cvF2uXF+vn5aa9+AM0CsnP41i4S p3xpnhyKjEe9j0IbrVBKOL3ZOGgxXd3AJ7DmyzpacAmsk9OTP9qJxa68sjvM AJwBRiwpjvgymPTkFkB6FQzplP7iHlLeeCc9wcnp6e7uIowGN/YPZts7yzo7 K1V9cjAdGpokQ6MDQyZNUVVGTiE3u4CbKKQlCIhQxjQxk5/NHIM0SJ9671x/ XVpbOj45u7rtrfJrBQzRk5tQmpPTswpFd2SM+EcnAoDcH62rzpTHHlEYKjmz SJQny5lbMiHU3HAek9WL82VwPD1d0mobOXw8JQnd2ytFeD6Rea0baIQiKyXR U3MW8Kw5OHXO+Kw5INrJlYAOjkUTU4MM4xqdyeJGeu8Yjv+rZ7hSD8lrZ3e3 pN/aqUjnnN8kgPuGlPvltSIAkILjvBCSRuTjx3JKyqFysqLcqa/jskkF1Xx3 kp8fhdDW02RbHAJTDDkZn9Bcy3fw8rWzbs4qKfrZFz80rKysr/aihr0MQ93D SO+jQgLZlCaV8uDoGMp5YZoolDcYhnvWV4wrcDg/uO2C3f1vAfpqz/UDzoEU OaDvNJp6knOzhiwWe+N8q9b45yhgB+zorDGZdTpdZ2lZqiiPk1+YWFaeXl0t rJFmyxR5J6fHX3MfpGE5oiLHcGahTDY21r+5agL7tXFUs7VmMQz38nNTmloL p6z9U9PD81BWgs8RRMAaBnA8Oj4OixdEJvJdI5nCkqLGjvrpKc30lL6yXpYu yQ2NpgIglJV3bYVHNEhQZEd+UrlMPAvn4bLff2NzVaPvamwslt54niNastIK fmFJilwmLq/MyBJH92vuuEXt7a1fnJ80dze8xwdEcqnPcGAjxjoTgl/CKiMw UF+EooLZUe4krCsp9C8+77l5wm+X+Quq9v7exvys3rYwPDcL6UOWbsiHl5dM Wxtz83N6WBwYBHAIYCGrVTM+pm5X1kUmM8E/mc1K1UArAEh6fU9BeeX+zhi4 cFDXrO5TwOaqpgF1PRDr9j8s4pNiGno7kKe2qfte49FvIzDOBKx1fvZbvMgX i9Kg3drdAX29ujpfUiNIzqYMj4L23z4/W1lZHhkZaodcLzSNBh1EpKxSynu6 a9ZtI7L26sdBPnDAXYA9Ag5gJCIvemJCPTamueMPvGDY3VlYXJqcmdatLY+I y4tGzf2Vjblv8Y8FZZx2dbkDGv0qJOqRf7BE1sDJTmjrV3/sgG+/SnzY2pwc t/QcH63sbK8NG7omxj4+7vDo0B6JBkq7qq6gMq2yPjdJSErJpgJEJJRwqmXC TAkb4tZODsovTSysTAlhonEMAjkuxi2YgfBaf/bz0BUAJDKWwhLls71CqbE8 ZmYOky9m8bKosvqCX670yuosl5/w1J2EOJncu+0jV/ILbwr4OHiSKbHRiYJo WjyDFMOMYDITBcxsSSwASEAg4ouZ+cWJ2oEGAMxSMilAqMkuiNcMNKn7ZBPj 2rXVeYO+/ZcDDC8hT7YLsAv4MQnERFwYx19Qmr22uXIFmxVyyhOCojH45DjQ a906dWAMRWMaIqVxj0+ghYuWkfJXP+ei+pqrz9NZ/1EFgSJtnZWEGLwDBvJE coBy2SMZ7cGR+ARFoKckVMlF8wtT+wd7wya1drB7fd18cbkOJ5PdtE6rxqdU hWW81o6SEWPn2ga0Zu7vf9jYXNnaWpuxzfZoO4WS+CQRw3IdXYKEHx4vLEyY R9WD+nazSQXRCFgNl79xXVpenoE4zPsb5+fGziBe3MvErKrX/uxHbne0iA9d KU98cc98Ca7BXNfgeDYv//ho8epy7epyFWAkmF3kSKmvq6jJaGkrieHjb6uP EH7++sb8NAkbVHx3b4eUil3ZgLitUos5HhQXf0aEF/V1Qj7dODHnSUYFRAc8 8I30IcfvHx59WuGL32daBRgJTMDfs3rDz7+YnR+rasy/w2UNczYGx3oGsF2D Y71EJVxsnDchBRXIdmHwuS3dzSpN+/QUtLxPT+uAKHfNMG8b6Rto/9E7vFRe BQDPiKkvIonpEOJ3Tc8SFvgqHPMGHwzk2e98nVxIOCTev1heW1RTvjA/NDej n5vVA5R1N3pUNzWlnYesDAbwB0jEhHVS06dpaumpSZakJBbwZ21TIxODZU35 8yuzM0uQh/m/OF66FpkheeG0qaVMUspT9jcNDSktY4Nt7dUVFYKC4uTN7bWr X9sykMFpnVt8EUz+wSuMxkufh42eM9P62Rmd2dLPLyxUqlvXl00bq6ON7bUd A4O/fE+GIP9/vwsUFErGxtSQIWltFIa+g7ubE7rhAVw0JSGDCRF03wAkJCgm VcgcNGqu7qoC9PrugsJEiAwT9qqqqUEMiOLKqszM3BhpjaiqOgsIuZrBLvsE OTk+GDUppydU9c2l7yMxPrQwcATD8mZ8BkBsXThUUHRURByRxE9KkmRJ5FVX dzkufne5uDjbW5wfQkzG1+N8bhCMbeuE1v4LNJuWjWp9mxc1PIBNdCGgalvy pPVZ1fViq3VYWi/R6tqVqvYwempPtwxJOwu2qokx5dUVFOO5tLZ6dc2iczGz tGCetm7ubKuG9GtbSDqAP1abDdZesIYDwKbXNM9MDkB+JlAI/4ez0+WNDYt1 QtWnqrOYe0eG2vQD9YrGQloG1wHrByDcPT3eI4xXTFYcGCr3MlkszQ/2qrvC 41IaO2qd8OTXWKI7gREY7RMc556QS/Kl+4Pd6nFA5LswmmMY6UlAFEdUQE3L W9/6lllQQcNuby1NTar6++SwNgyCfFpNw/n5yunJ+snx3sXFMSR3Q3GC1yDh 8Pjg+ORo58P2+LheVpeTU5yQLYlrbi4GMJKZiuNlURSNBQlZVZ7YqEgW8y9v yV/IwPURyfzVkeyPpweR6IiVLTOXnZpFS84gTU6br264K691HtfKj4u9/Q87 u+tpoqRHrlHfvyP/4IioiT6GLAHQ9Zc3hBfeRGcM1S2YGhhFwzPpqVmsnEK2 uABSaxSUppRWCdKzobB0ML9aWoq7u6oyIU1vDPgKwACARhp1AxgDiwvWX+DV RxQ/p+dnB4e7JU11b8K92fzQMA4qmk9MLhSfnV9UNJYQuKiXob61PRDUZ2cL cBy0c5RvtrRqYm7Gg4p/jvMHW4l6xPANu/Uri3awPT2P/5Mv/qE/4RGK8DoE YnmFsm8ERHoQQwViRmoWVSSJzy1OTskg8bMZ29vjQKQD6OICwkh71kmVWlcH kMbFxeqopXd9c/Xe/de2Vo/gmIjrgI6DDzpti0opgyIBoUQ/YMgpujsrZa3y w+NjMLV/tQVA969v2OAQQkiYUvZUj1s0JzDUVLT0/z+PgxBchBz/+h4bK6QZ J3u2d6fHJoe7VL1g5kJM3RBZ9/by6ohlvLe9uzKnhAvGfA+cVu+W6xHkm93a VpKWH40QqhfWinJlGeBkaEznTX/tRkKh2X7etNcjVkNlSwU48aYG/8UdWyBv nrMtLK+v2Qft8cnX0ncgb764Oru4Ml/XpplfXrq4PG/p1odQM2YW7vhX/A0F MU3m1GT4Mt4jdNaYGMi+BnAR8jUo1jMkzhshKSKkoLlCwbCxb33FaDer2Reu zVVTcHRCJJc3Nq42mlRFskI4/SWy3AW8jwx0ivJ6FfqWnhHPzRd2alXw069O jzY2VoxAMATH7fXRjRWTfZuwLQxxMrPco1gYJjeEneCMZ7hEMPyoHAqPz83O FpeVBrCo3/k6omOiLNOm8MSQ4FhfP6Zjcb34d7bJP1MBa/Le/se02pPTo1VS 0YixH1G0/rJD9U1mVdvLIPJ3HmHVjTV7W5Y5SGEIYOqQStNhGevfWDUB+Gpb GDSaB2dta/fugPSCzjRW16UqkLdQUjKLaipyK0ubOhsA7p2DdClDptG+Cevg gK4tTQS5UtyiV2KCFSa/lAeWX2F+7Nz8Nbc/cs8l20xRWWpFVSYAQjKILfw6 ZE8uz8ktTBBL4utq88F6PjwKxTsfHx+srEyuLI3UNhQJchJCOCSwI8PUuNcG NYgsiBjiTw9/HooCeImbGevLiFhaXbmdf+R3F6jaOx8OBo0T87MAZOoA2ly1 DesGe9q7W2FZQHvLlqRfXzEpNc0vQlEOWH8vCrpImsoQsJJz2RZLV3o+o6mj KIzOe+hKQpKGQMmeeuWryyOXl0f/wIF/caPfBseD/V2wAh8cbMFL697lNZcU WJP3G7pq8EnMGFEyOyOWlBzhGAH6An3P0Am7LGIARiqtLdhYGQUNsjB/HTkF hKb0PMl/u2Ef+EU8x5DArvTQP9IxPMyX4RMQ7YRmuz8Pwj8NID4OiHocAOR6 0k8+2Af+/lhO+trW9rcywYM3Q5yp7iaPaNjdsRqHOzbWLYhVAsqNdXmfHOzi 6rK+paSwNEUgZonyY3lCGiQFZFHq2ipKahTsJJJjAP2ZF9nBk+KLp0Mw6cs+ Qt6h1J+cKZHRTHEBZPZqbK3o7KlFknp/tsjqC0qrBQVlqaxEJjGG4R9Bfen7 EYM9cad44cDduEHkRMcAMsBdACZ54WjsZHpBaaIwLxbUMyuXXdsgycrniPI4 kpIUSUkyeOumpkJBNjNdRC+uFIDGBfB4YX7sc8+/3/KHx4e8XMbEjAWXEBMc 7c9IxRISMG5RLg3K7qExU2iMb1gs2o0SLmst1ZuHg2NCCQnBvjQoPpqUnmSZ nqxua4wR839vX36hfFZ1jIwfALZD4/heBJYvmYaPoTmHkx6johzQ5HfhGGcy xDgNGocvZiVmUlJFrMw89ub2+MUlBJAQJczx0TzAS2B4nJwstHdXHx0fXd6y 4N0an9fnC/Pjyh4paGcEiiCp67KK0qtaarn5Inpmyi+ParC/j4z09fQqNPb8 iQMNfb3SMQskdR4cHmdIGp56Mn52Jj1whhyzS+S1E5NA1Dq8oW/dhqHRxsam 2WYbNphaGxoLDNoWeX1uXaMEnNwmwAT3BwCpt0eakR/dp+84Otzq0ysJqcGb Oxtn52cNnSVFcj7kxsN4zytidw7ofGiuQbFuL4Jxb3ExYVxSWnEiUuej45Mg dmpD94Bl6vMZND72CHw8OztHkdgv/ML+60WUayiBlpL+fz8MYaeVmiYmhscQ h9u/bdYji/YWjuvrHw25HgF0hIp2CU/wL6pOC4nzgnJ/xEDpP8A/oaKdi6rS Jsa0CByyHxHj2tbaaENH3ftwusXSDza+Pk37syDcUwzuBRb3OgztGBXgFPWO JYzIrk41TRpu1+D84uLocHd03CwoLMouL5E3y8HldvQ1MTEwoOtq722qaZKX yCvF5cVJOTmcLKEnkfWfbqjnOCiZ5nNcADom1I2CfRfhhY33zakpmrUt/Y42 +ScsdkHyCmaH/k0XgqOwojYsNmnUrBoaUc5OQwBpAdrcR5YXoWCiRQjQDqUX lr7B0WYWF69utTxyImtXvgqh/a9Xvk8CIjv7Wg62x0DP2nsZDJ7tjTGjsVMk Scy0p5zOjUnPplfIssHqsbaxvPth+95iBS1Tmyura4ura0sHh3sNTSWVlRkw RhIpavPB0t3RJVMNtBZVZVU01xpGujr66jZWR5XqBiB4gg8YNk5RwS9DA57B SAnKVkbCJgnj30Zgnob4MVOjaSksriT76tsp8M/PofpLG5X/5oCrlMu7etuA OAAEjeb2xobWBnDykVsGwp/DS/MGfnEmqNuLMDQmGpskpr/GY73IPplFcbxc Fi0Z+9KH5h4SY8+qNmxoPT1dQnw87pjyb1ZeO3r5excIINlTyUPWk+XlcVwc 5UeU+zOc/1t8IIqB8aGiX4cF3k8nF4F+HOzDESXtrFvAMEOM7xAaXxyamxnM KS99Gkh4APnKkhwglRGQ4qO8qf5uxEDE5AEL9cTXuDBPMg4d4+ZLD13b3Lr6 RsvCxfm5Qd8G59u6Fp/7VQrjSIfZ1G0Z7QGb4PLS8NamZWdr9uquIzcoG5sr gpzopExyZi4bCviCfJs5QAool4oqZGl+eIBMSG9RZBwt1jGQAtEmf/SX/giN fnQiuwRRX/lSnnniUyEnQJaisegXKnx8fLS5BRpgxTI5QU8XuUWSvQgkVzzJ HU/GUuk3twWIKCqrqMi2slxWnSoQM0T5bHEBmJIAyHGqa7LAxEwT0iulWdVy cUJ6ZH1Dfn5JUmtbmXGoq1qRCwASgHlj1pGT40PQLAcHH+629u014XJlfWlu CYotLZaLSuQZrer+12Fe9JSgqIRgekowhh22srktKueTE1GY6CBfsmt1YwEp PTGM4x/DD3XCeyi6mpG7nZye/j0HNrIaNCk1CbnlB4eHOkNPS3sFjZf6Jjji Rx/8Q3/8a7xPWBwaACTQbhga3hFDQDHQbX3tmZW8sRk1gByXl1BKWcRWdXq6 2NJRcXpNbnCP/OSjttxmm1Ep5XZFDQxCagAsySnN+inAo7he9gtrFDLkRseH AGjR3GR1AXdQw3kVkQyzo9NGNyznXSDrLS4wnJMCfpmaGaprzh8Z7QDo6PJi FfE+Oj5elNZlt3dWwH7mdX1KWUVN5h168OtPfUtrsaIhv6W9GswFrUHNyKSX NeWB2x5+sM3P6qh8nDfNMYDt7M+IdI4MxHJdPSn+j/xJL4LDUSz31v62FEml yTqJTxB85+GPjaUjqqQvBujdqMppCcX/8TziiQftJyfS9+8if3ImBFHTnnhQ YtKLr/5WKwBy1czSFDbOGxsP5C9XxPuoWJoeJyL6MZ0QJRLim+TLcJRUC6am hmHrAER/MQXLvJAHxeKw1apxxjNqGmUAKYHtEhcb7xpFfYYmO6AjnQA6Ivin lfBXbvLIf9qhH/YPRq2Wfm1nT3/bpFVjA/efGwRSNtg4jj9MHH+wnu1PriwN T0xoxsbUplEVOYX3NAjzLvI6pebLUP/XYVCmAydCkDslnJHFO/9k1tzbtf91 4NOnb/qb3h38MZmXE8LmCgoLlOo2sPIjHmLzH8niBiXVlflV5X3q5vWNeeSi u8+6nFuYauxW8ovKK+qkMDoaXLqmmBvSDvaUyCqrG2oUjQXC/DgEHYH9gptO KpcXfWVV19ZtFZUZ1dXCqqpMqVSo0XUs2GbA78OW4QdoL4k0b9VmnJrUbKyM gvPSuuJRszIxNxVgoZA4uish+AXO90mwLyuNFcohPAzyzavINYyo2dmCQ5gw 5JsMFCRnRH37gBuW+8N7QkZesUrdCVqgWiFv6WjaWL0GSBAF4rQOoND0IgGo EjS2wwI9yJjwuLBX4eiQmCA/OsaNiGamhjx2JwZEcPXwoqfsqQEXAlnn8oZm 5E9QkGqcQ3zdtzzkzVNWfxYxIon5PhKD0BHA6BTtS0U7RqLf4OE0u2GI2jkQ TusQqmit2lgxDY/0gbkPUOW1H/uKsUvV4hrB/MkH/wxNfPrRFeQmtghNfOhP fhsWkCihBcd68Uvjrr7prJ+dMdmFeiijxEC9xdyDpM8wDncg/7QE5XM5u/fM o6PD+cWplq6a+PSolEwykRvsR/dG0T1TslmSstRwOiVJEFtVWxNIYH//lmjn onntB/EU/eT80cTm4El+4EyWN8lb2iUhZCKWEr9imziG7Bp3nocs8tYpk6SU VybNTBbGO4VGOuKIj1BRP0KBcuSnnneScP3Xq0i/iKS4tLhk2N6dKqQJ8zgA +QAwUN9SBioszOeMjA40tVXWNRYq6nIANBozq3X6TjBtwb8WV/LPL87X1xYO Du5HmR3BFjfkF7W+nSskzS9NDmiaU8SUzt56FJPITItgpYYREwMxTB9CWgIj M5GQEAiGOp2HpSShXYlofzqGlRZCScIkimlqQ/fEzOi36s17LQZAi25UrTWZ we58ec2vhfDMQ425s7MxCbtP17dU6AfbtraWpK1dXqRoFC3pbYR/RGJgdBoh WURGkwiPvPDPMb7k+GwiH68eaby62js7tUGQ43L14mKtub2otqn4F8bkjYlt b0DdYE93q+6v0wKZSKXAJ9DTivOYWTzb+i8ZkkCdx8a095CMbqBBN1A3YugA g6Wxt83BN+xlcODriJdBXLR6RD2/PF9aLRTmxdQ3Szp7K2BVEvjsmsydUplo SN+K2PRb20qVvTXaW8gNYDDwtbe3prOrcmSoQ9VfOzNlSMhJxCX4ztqmm3qr 1pdH5a35zIzwdmVFR1+lc2SQD90Nw3H3ofk+w0S4EVGBbCcPslcQBxUSiw5g +frQ32hg/4pf0OQj/tha4+DPrqEPXajwlIHCM394T/yP52EJmRVn518VkfTZ 9gfFtr7Y0F1FSMbgE1A+zPe8PEZBVSo4saMjKI1sjHtIrHdqQbR1QmUe7QPo qLu/DaG0BRslAEX8wnwWPwOsYzvrZl5eHi1V0K/tAEvW85CQ1+EBDiE+8XnC qy8CucvTk725uSGzpX9lcQiIiojFYXxcLW+WJ2SL+QWSnIoSaaO0tk3e0dfQ 0l3nQsC+CkPdizx6i0c7YP3aB1QLK7bb7WmP2LK30j0+8L+h6f7PLfam+JoX R8ZeVpn8P10w7b3NhzsTyPYEIPGqbcRuXZ2d0dsWDAuL41efbNA7ewfx2ZKG jrpxq3Z5ybS+bAQXAqwLQWtYSQhgsEbfJWuqKa3OzMqLSRfRgEQsksQVVopg ZtovVvXyVgFf19aWmppKGhqLGptKeroVyN9s7u4EsEmKtkrETANqC5DSytLI wfZEQ6e0pb/37OxsamasQ937Bo8JjiEVVohf4nxN49chM7+3rT9XTs/OGMlF f30X9dSDDhpEKCmpUsi21mErEhSkabBatb39jR6UkBc3OXrADAIYCQCJQCZA R1DyWWxMCCUxihCH7+iE+NlGjcrzs1UoS9rlB9id8g+p+e8vl7C7fouqy52M fXsrduNlKJRg15MCIFOgMyHQhQDlBgWAEKZcQAGIm1OZs7pkzMwrrqlTADC5 uWZaWx7Z2TCDFcODEP2T7zVGehpAeIaJdEBHPUYRnqHDncOIzpFkUlpwm7px bnn2W9nXkFcB/y0tTvT11tyka//op4pQRgPxGWYsP/4sZD06OlA0Fte3Vzf2 NTX1t1S2SauaynKLk+bmx46P96rrpH99F/HYnYbojp56kN2C72SCAOv/X95E sVNSjOPWSHbGYzdKYWWdTJ45OzcOxz3d2RHOzk63dzYWbTM228zQSJ+khJuZ w3IKIz2AaZMReiVEPQWduFGcg7nPvJiR0YlTM6OdvXUA9nDTImrqJHOLkwIx K0lA6FaBvR7SSk1NDs0vTm5sLA0bOipqRAh7jz2ewt7pJ6cnH/Z2JGVpJov+ 8uJcY+gulYtiBRFJ2dSRoU5pbXZza1G1QtzdJVWrFGVSgSCf+T7C53GQbygn iMELpiZDqZajuEHOUWhy0jXrODEBxUjFrm0u60b69Kb+q19zGPiqToXHJzjZ 3d8JiHZ7ig4aGptC/kmn61pYuOYoXlyw9vfXgr9cXp1dWhw5O0Xyx10eHH5A x2DcIgO96b6eDLd32OAXvoR3Yf4uQfEu4eGxWYKL8834jAKTxQCbrjaktaKK GvEvqPSRTlxcmm5vr+i3p3WD4U19U2mFohCcKLW99xjAbpe5WfP01LCqv6Gr q9qOZMAdFA3F5bJcaX3p8Smkn5lfWq9XNkRnxwTGBjkRXQI4GMvU6ObmapUi T1yYoNbWzcwBlLI2Nq7s6a4urxEIJNGqPvlN8pSPuAtIBxp1nbJXZh1XgX3B Yu4dM/d2qxs8Ke8yytOZmUTdUCNYhMfGejdXxzZXRzNK0tHRIQAgBcW6+NFR b3ARAWz34DiAN1zRHFdXgh9HJFjdXPw1GyK0SXUNqH90CgcA6ZYNmuLgRXLw jmjrgYxWiA7/t5bLa2rBeXl9TqEsMyzBv65Jgk8EQM4NckDieNo1SOBHdIxb XVOhydjboWyTtbbYbpyFwDYHVqqpSS145ZbuRrBkTU/p2IKsH7zxr0NDA2II ulHT+Oz0L7tzrG1u60yW+flxsGPaFiAmbbCTgq0zo6ggo6gwKUf8Hh/lEIRz jAx+HxX0qcfC63CIE+851q9Lp7Y3GvJ2H3Y2rGPaLdiXfni4BwgvubIMpaHz 6tac+rPxMHzzcs/s8rVXwWJ/j26EkS6qqK2ub6sD3Q32JtDdKk3HMpTR+3oM AMxzeYFExt0VYC+ulFpNbasivypf3lILrupQNg8O90LBj/PXwYmgozdWTctL RiCDF1XlFErLdz/sXHx51n+2plcwH93+wQewcK2sLJydn2192MFyWR4UHJw6 6rqe4HxhfhAcaWnRjcou+/VKg9adEr6wNDdqtZzCnLS/5elfV8Wbew4aJ//7 VYRzUHxzp9IDF18mawJTCUwZpardtji0uWqubChyCPG1J58F4MGVGPgiNNCT jH4fCalcHCPQjNQQVloQ2CPKazKmpw3XXqDnq3AOkS96ofyjC9IEl6W1BY+D vN/eIpJ9hcRxQFlRAEZC+zOCIrg4b2rIc1wAJoak1rUBaD1o6PXExYXS0wrK q6R1CrO5XzvYZbaoMMz4B34RDhgikMheBEW+CokAYCmnVNTUXuFJivekoBRd ZVffbo4j/Xh4uKfTNK+vgQ1IZ3dGsovS4GgYbNnZtkLx0Zf3SbQ+O7p2dzct ExBb0cLilGswCUUQPPGg/exC+smJ6B1KBxjpTr51Z/JLHzKBw3LwJv/vJ6GB 5LSWjrKUTAoCXe49SK3rzCmEeLbZqWw/MsOfQvUnU55jCE9QhCf+xCd+xGc+ kDIK3P9HJ9I7DKWmsby3r6mnB8rtBbbv+payfm27flgJpAlZQ0FeSXJecfL2 7se0mOAZ1nFdZ5e0WpF7dHQI8NhtKWxqxiIq4IJPqpBeUpne0ysrquAREwKY aThwrFaIwD4LQFGSiMzLoUnKk8H2mlfKxcdhXoaiMSwMMzWYChNGgRMU4/oX Gi+EwcNSk4NiMwm0lKAkMe3g6JsxlRksWvVwT2hCoCPeK604TdrSC95Co2lT qZqWbVMfdpeXl6cnJ/rBK+5sL8zP6g4Pdy/OT9Y31isUtWgG/mdnoh/T722Y 7wNX4lMvwnN//A+OpAeuUd+9C1N0VgcQeN39SiA4Hh4uAoBkMuuuvhw3ca1B 2t+ZW5jqVzf1KeV2EN7XpwAQpbq+5ARGOJ8bUdAvFrO6p6tCDaW9U9gHp0HX rOmvLawp1o6OnN/VrhyfHi+uLs7a5pDfQFeenp2OWgbV2nbjaPf80lSnql5c kUJICCypSgU9BW7Y1VWlUsp0A40Id8fIULtxuGNmUjM3q5+b0Q0ZWm3zwykF dE+qiz8zLLOUs748iligYOFabxjpCI71CWS7Y+M9yamJfowADAdgDw90jNfT wBBfSsoBIiZ/ub8Q5Xx2cfO/PwtD8rDcSiRH/Y8Xoel55Wf/H3fv4dVGsvWL /lF3vbfu/e453zkz43G2xxlMzkFCJOUsJIRAgIQQQULknHMGgUAJJRBIApEz EjlnG151N8Y4zIztGc+Z79Xq1atpWt3V1VW1f3vX3vv35s1HvM9fXiCEf3oC AJZ2sKemUZqUQ/djukQlBslqUhGYBPZhPJ9gjgdJGJwsS43NkPGzJBXNjc5l 87V8BLISWhebG6xuqe3XdG2v2SLjkm8H4P/pGZqYV/RV9dk/3FPp+4ZG+tcc FnDPnfXRPk1XTWudD5l7N4jwNAr97F048HsLEjbUg+L3S4SnPwt/xTvwzmVU b9U09FY0thcoeitbFdVt8rKoBH+SMMyf5VLTXfb2/Gx1dQG0QWVH0dDY75jy /ueW6yFwdnaGzCSbW6s7u5uXvweWkGUR6+TM/WDCPz0ja9qa9zbHTOb+mtYG 26gGdkaCNvCltKaBdpXhA/9C2P+/UVEdK8Xb7Yp1B9D3BwAuGraoe9Vd1lEN jK8GEYAELzAN2u2apZWFb3Sn++RFauTtvrRIrbF7bs50EyCtO61lTSW0NAES 1QX0L+Sj5zVUWaYmLm84jfzpZWd3a/8AQLi3MYJ8Kr9gYNAeJ64cGbXrDT0D +v7xcSgmdMNpS8gWwgEO6HdcIaGvCaFPokMBOnqBg+wtnhR0ah4rIi6cyA+F kJIoqltVOWFX7Ww74bb4u/fhksbSBxi/jyLXoDxpZIhaF2CkVzgUO50myKEF MkLcSZhuZZNzeWRzzaoz9P3wivh/n+J+dCF7hHEf+FBxPFEgIw7MDI/eLbR5 EQmPQqP6B6Dop26NvrarM68h/eSPMSnfLEhPA3hmBVIKNofNCig46EYsDyKG VP11MM0cAK6/ylAPmSzg7nc97YBBM2zV1jQ3eUcJb7mSwGuGkJL8ohN+eEX6 IBbbHTIr3YJzIt3zpN33pRK4tLQsus0+CCbA2YXx7RujG0zvyw4HXSR9EEIE SPJuEPFu0NWKJNgeo0k+OOpjP+qTIOqTYBKKRhRmENJz2EZTz9u3H9PQzC1M lFZnVjfk9MNI7HrV6WB/x6Br6+6tOzzcv/l2YN/YVZkoJqbDiRDLq9P4mURu GhagI4B5qMlofiapS17W2VUqKeIBvAQ28F8mxL0S5k1FuZNCmdecLAJwfRg5 KYwJ/RBFSwY6QiQuzq+hq+z07OT8j3EWIyN+bWu7zzCcWsLPrhVjk8J8aYGY uCgPQvzR8eHsjKGmRqpWNa6vji0tjtrHlON2IOIhFW9/f3Nnc6Kutf4H1+gX IdT7nozQWPRTTMhtV9gA+BoKor/vSf/vl1EZZRnhtLQWeRdAPXPzBpGEIVc2 r0FJzn9/xpmdHulV1A1or+xIRl0r+DO3PNNgMV1+XmxB99zf3xoy9dxEVv39 dYXV2QlSfiALj+Yx1Gbo5zB8+IxH+s0/d3ahcDn9YH9JfTZJEIVNCA7hBJTV Z/X2VuZWCNo6i5D7j4+pIBdK2PcGbODP6ckB03AXiuvhxwhJKeCOjyuXbyQ5 dC5bejS17YrSEI57XDaNlUEMYruG8WCAhIpEc0RQbMVvyqkrO5tj3TMiAWgT N3OfQkF5r0j++KTfbd4vKc6liZpGCSbez5/5qqG3Kqcuw4/xMjzeN5of6Mt4 heZ6RSYEPQnDP4sMCGSSQln8hXnTdSIXxC9lzK4F7763ZW+VN98OwD6PoGaU 1Sdklx2f/L5KjniTnp+frDrGpqaNQC+jCAUeBJYvJRYArR99cQ9RhMdo/NPI iBcfsk29wIUANRMTHynXdQqKcsGzLi8vr5t0enECHecTyvWqbpIyxZER/AAk fQHki54c0tJTQUgK7lXW8bNpKcW8y98DDP8TC/I+u/v7QNeYnLblFietrTva uqtaOssubqRX/cwP4bK+teNL4YFJtUs9cHqw2NwNWYHAENhYta6uWAAkXnda Gjub7gaT2OKMw4P1N+9I4S8uL7QjStCX/FmuoP+bLT3S8iTHsmVz1QYQ0Qq8 kLoC++Gr9b3Li8Ozs9aqtnbb9Ozlt8PUi3eqK/Rzx7pTpWtfXjAtzhsRUxUS CeVcHlYb5Vea17Xv6Lvf/6lB/R+U7Z3NmqbcUTvkvbC+Mbm7d6XzLi3PjY5q TEO9jZ0F646R+s7Kl7iPo7peQVSG0CobbGxBuRKCcXz8K0IYMyW6qFoIxEps ajSYnY4O975T5f94uUpOO2opa28M5lCfRr3PkAYgH+J3BKBgaAw6mod2wYc8 x6EbO4t7lWWtPdVqfScA4bMzRsfycLei83ko4yd3wq3X5NselH+9JNzyJD4K hUKtH6NIAClRk0g+eBKRn3jxiXz/s8vFhF3Xr6iGZVbTtUuSTgvFFWpUDaDL XVysXbzd+eA3H/lG3vBeRlzpwXFBVff/uoe560F/GkAnciXXrto3M0ZCbtvv /JHA8S8h+ORsydHRQVN7MV9EQAizkNE9PjUSERv/kz8B8l0PpdwLhtDRo3cZ DsGfcGIEsCe6YJlphXmdPRWqgY9YtJCcNFBl61sKG9tLyqozj66MNleDbnZ6 eGP9fXQMMoQdG06qiJAOhb9xJXlcWUF8SjYDwBsWxAkIs/QKMZSk0LLatIbW XIYQ9OdwmgBNF4ADcD4sjINmwtAIbAzoSgw4Dy5IzKLFpmElpYnjM7aVtQ8C Q76tIJqgZWImkJEkqRRJqoQRCUE+NN8wbkRidgFoVTCBdHeXazTNjuURKHrI rtFqmpHgyp2d1TWnLVEm+LcLAQqWd6M98sc9DUMDaHQD0NJ+dCVSBTTvcC4h kff2zdLy8qBxsK9F1RYtwP12JAhswTgetxt0sB+RBrIFQV7Ww6bOirqc5v5f Y8BEjOqHugFofe3aBwkcNHdUCAoyY2VpbKlo3rF8ecMr+OKd58JHFbiiLB8z ifPiUqWMxEyaG9XzOdE1Np3W11ctLY1v7ykGB1BCNlM7mMxhuvkhBCNZRnrX HDZZZWIAy802ppya1EJcfvAFAB31a+vs46rlBXNqHjuA5RrB90NxgwNj3AGg eohCR8SlfxH7OVxhRnLO/34U9cAL8tNGhsY9T/otV4o7JlE1qDk4+vbU61cY bGFcb+ikiqMKm7Im5+1AtHnTnuVUpZis2tR8ln1yqM8o96K4p5YInoYzMksK N5wWZPFizTHyzsUUSD3zytIQOTnlBz8UkqTiq8rbN292dlaAUFtfnUwpKnuF AzMeDozcR+jIR+FBLoQQF0LQK1iPfvaOqdydHPwC6xcay/hokRFMDlu7m1u7 G2lliR6UJ7ESQnWjNCDGFQUH6yFLhwAmhUJ7t3Cer8LQ+c0N+LctyOvMLTuj eGlpeSlCmVCYQatuzM8u4ueVCt5f9jkV5qpXrK5Xtiu2tte31yekZbL6jjoo M9W8SWvo7exrXIFD/s0jmqqW6plp7dHhOvLbs3NIYd/Z37bYB8bs/TCENnGl NKY4TqOXA4gCkBXs5m2emzXlVVUQEtPipCWn53AQ1p/3+gbr4MiYaWtzAQzY +TmjcxkAs2GwNw51tfTLP4JD3/XTn52dllSlCzOpM/MTQKe/vNzY23NsbEHN NTY+brNqSxsLn0X5iouEbpDTeNBNLQB0chcCypd2BZCQ7UkU0AsCcYkEi1le 35xd1ZwDZqedrT+a9+P7FWSi01uHH2D8HmL8H4T5w5kWIIzkT0e/JoY8iYJs Rw/DQyJ4WI4Yy5PEpOTStPqWnfXxzVXrxLhuako/O21wrpgHh9QBpIQ7fkQA ih4GUx4H4x+jiGB7Eka6E0TypxKZSWR8YgaS/+f72YQPD/eN+rbJcQ0cE9Q5 YdcDUAQ7IDVAm6rBqG+1DPecnn7eggQvRX0cmwn2MwtOV1QshZfxw0t8Wm5J AC7pjhvxnift2j3759fU+15g8n/vWf3Yj/YwBJeYU9gpLw6h4gLIpKkZy/W7 7+xu6Uz9cZmS2wG455FRKBbONYp6L5j4IBSClF4EaiCFFkilkeNpFXXZ07PW 419ZrroCQvMT5bWS2uZ8tQ6ZMN++fRcpee22d73EJiwTh8b4ZxfwUqT0mgZp W3tRVkEcOzUKQKB3ACmcKkDHirFqVUN6AYecFBojikTgE4BGbBEGYCRiYhg1 GWAkNC+TzM0g4Hj+lS15U/P29CLezcd9bYEr/D4xBdivrG0AgCQqSRQUxkby A/1Zr7hS5pBZ1dHX41i2zkwNAHCCUPROTw7MzRgAXAfb2fHO4e5kbHriv17i EMKOe16kJ6jwmwAJ3iiuUWH3vYnPwjAxYsrYBOQK0mtUuFE8Do7eE899thzs 75gMnUZdm0rV2Keo0cI8L1azPDmLn1MHMZv8WicH91xemb12XgL7+tZiraap t7+RkSG8MiZ8ge0ClOPjo4bWwlQZKz2Xm5nLYabgqYJosSymtFIMtLOGtlxQ vbLqNOVAHVCcr+PcQVuBATI7rZuaHmCn4zoV5RvOMSSEGcBLx9KI1aYorU7T qBuaGvPwiSFBnNe5dcUkIZUkCn6NR3mTE05OT3+7kohOoTePu4TGBeAF/34Z /TSABfPy0P79kvCjC/bfr/DehOiNnc/nMf6ycrWqfni416qs393fgXKZ1mXE ZpF3dzd3t1fHLGpwweiMtVvXoNBbAmixjqX3FAD17Q1Tk3oHZFgb1Bp7bGMD GkOv0Wa5hHkbv6E2W5vzcADIm9Ozk+HxiV/CqKGxbEw8HY5qAXOplxvZ5wUW /QImwPWh+6PjvDwogbPLi5fvgv5AO7Qo6/1ZLon57E5NSyDkc+5TWpvGycB9 FJ0XEusRGus5PG66/PW14P/pJb209gkqKjkzlp5IS4NyysWJZazCcvHa+vLk 7MTZOTxF/OYdRsZGSUkCubLjeGeqR12bmMtEsaNiJeTZGf3W2rhSVxsrjTQM tR0f7TT11RY3Z/NyGA29FY5l29baBBgmAJyATTnQIMhnt/aUwsvQQ0DqgQ4D hsnaynBrd32CLP/8T5VlN9/o+Gh7cWVGpWu3j2vWnbbhMVODAuIu+QuwxFso oeupc3UxI4eTkkkdMPZAeXROltu6i9S6bnCB0zk7O22UVWY/wAQ8jQp5egUb UC8+AEihPjTUTYD0Eo96HBGE5pKXFm2HB7t7u5v2Md3bN9/bZvLtBcGio9OT 99G+OEEcR5riSgx7gPF/hkVRhORkGTWQiQmOQQUzQwhJhC5FKeha7d2NwyMK o6l/dFTrXDbXtdWN2AbApDpq72ULM/75kvgiDArnfxKOfRYR9UsY1p0Y/gxD vBtMYAoIi8tI4qzvOKIBwjnYBxD3dHzMMDM9MjQoNw92mIwdiwv2jfXlzY3l IZPcCVMtICZt5FfbW6tAdzs+OhgeUrw5Pz86PkTS2l/jmd39w+m55RhhEY6T 5nBOUuK4P7pQfnS5ivSH0JE3BcdmPAuEkgA88KI+9KI+DqTcDyFzhExsLPXf 3lE55e/YS+HufXZ2UlQlQzMo7nhGUIx/WjYFTAUeeOov6CuOjFeRZJdIkjeB Ekgh05MYqbJYs0XzWWwJ3/Cirjm/qaN0anb03at9cAFSVhxzHep2f4Z3koSe lc/jZ5BYovDi6tSC0mSuGHcNkCAglBJOSgwurRFXNWSCAwCfeBkE5IIYESaE hQphoanJ4eQkNDcdB0ARJSk0Ng23DZRfOLvOHx/C7xIFXKxvb3uR4vi53Pgc GibeP5DtmlkmHLMqCypyZmYG52cNuoEWxA4wPQWlup2c0FttKrVRnSTNfh5E hwwXkDWP9sCb/BwV/fPHAIl62/0qNfqPr7G0pPzKFgVHFutF99n8Am8H0NkO AQ6bGBwaUkyMm/S6dq2yrq69Wjti/o3fXkHu6WGNqm7Q0D5i6iyslChNurPz s/2jwy9sOuSD7u5tIUSZCFemNI8rgdl1kfztJVUi+5iqukZiH1OuwL4TN5O7 jo+pwAHYy+UViwtDjuURsE1NaGen9asr1n5FjSw/npUaFZngF8zxmFwYA6Bo d39rbGbGsb75JdW7hJfYpudWew0dKYXiuaU1HzzjZeRLXDy3pqOlTaFr6zX9 bgt/bTmH0pxCyBagpsOj/eubd6j09e31ULD2rGl7zVbWWFVQU7azPgomtLl5 2/zyLJQkZ9m8uWZ3OuxvvnrGhp7y5s3Z5sb80eGVaVpW3WybnD0/PyekJOQ2 VDb3V+MEwa9J3gAdAdnhxwwLjHGhiiMWHUjWkSsLYb+h05v2LITjUdAopadh /ZkuMenYkprUwBi3q5SYcd4AGkXzA0vgVJ9/T737mwvyOsVNnQnZZamF5XEi qlAam5oF8XfAaRjZ0jxeTnGSMJNZWlu0voGg689Ik7cwa+nE3JJ2yKLQVrf1 lizOm4atPc09BWN2ZXaVoKwpMyTWk5zCLG/Onl4YJQjCXAn3UdCCrF+3smJq Cog2C6J2gaHRrawC0GjdYbWNapq7W+YXRjfWp2YXpo8P1y7eHMA2/D/zK1zc EEygaM2m8Rl7eUvFO9anP7985AwPClAPcUmCkvocmjCMLYxWahuBLtLUlifO YtjsJiC8zBZ9VV1DdWv+A4zPSzwU/P4KF+pGDP4lEmLRhWESyo2E8v0QIMEZ AEK8qZHrW+ufPvpvWJCIyPrezjAeY2t35/Lijc7UzZfGhnHQITEYtjiSKcTg uVSWEM/LACKSqNU3Gk3q8to687BKq+sFMGndabFP9tV25FS3yHzor71x4a4Y rCeedDeY5EUgv4jEoeM8/ajhP/qSwjhMOE/jX5TyAAycw8P95aXRi4vNN29u kiZcrCxPbW9fpUo+PT3e3HSYYEu1fUw/N2MFI6uiLmthabpP06bRts3PWpEr d/YOKAn5+4cne/ubr9Ecl1BaJCPmeQD1BxeqSzA9hEZ7GEBGFhHuB5A9o6kQ ERiaRIxn3gogRHNjK5qbZFXNi0tTiCsmGMGzy06uJC88lk5OjATqv1jGAaDo EZwtCs4FTQmmx/iRmZ54xvNwIplHLCoXnp19xqsH6WOgwhNTkP57BhNU26cW ZhecZtuMceR9/FpPf0N2aXJBhRjMNiIwAWfHMIUA5ITklCTEpxNoyehrgHQN kwA0+uQktKzmTkYRE8MoyZHUpNCMIl68hExKCByFme6/bUEcwX72mfm82lYk xTpyOj6X9RrH4EhjWZk4NNcHiAb7uMo+quroLAPyfW7GYDS0wRJ/aGl+qFVR GkChvQphPQrA/t+nOIRBGFn9fOBNeR5C+AggIVSw78yA9H88IfzsGeZGfe3F 8F5a/dJVQrjm0GWbG465ubGL349kgaag2WmLqq9GLq9MkCYWNVV9bXwu0sh6 q0EopSOgCJIgOe+RkkjCqG2SrTqtvT1VYAPg5yZAAjP/3LR+bExptsqN+nab RTE22g9wFPiX1aJwrlhGbf2EpGB/lrsvLQSXHHJ4/Ks+e79bTs9PLy6ht5uY H2vqqzo+/dgj7g8WZNHh5oLL9W0RlsA3b98cHZ80K/rbepp3N0Z1xp6k3JLt jUm1rss6DuaHy+PDLeeKbWd7ZXtr+fBw+1ee88X1ufyAjWVnfw8JSxyeMEUl hnjTsY8jAiP47NSSpLhs6snp1dR0fHwAJqX9/W1aakQQxz0k1iMiIQCi4uW4 F1SlMMVRQWx3NAyQkLQGZmPn1pbz8m8vYr68II2mHbbdCcTd9se9jqamZrHT ZO9JYN/18BhJHjcpjdCjgqhmf1sN2d5b92O6RvEDpqZ0QItfhWFPa09xS09h Y28lR8qL5AfHZdMj+QEdfWU51YLC+tT82pTihrQuZcXkpGbdOWob64+VEvq0 tQA1WWya11iWFzl+0QmTnnz3Jnn/hNXNzTffmhnjSx92ZbeHjtc2px6jKJgY LDbRP4DxymhufXPuyClOSE4jLS5PWUYNtc3Z6flN45Nj/FzBkygIF73EBcdL aOhYIvjzWXTIvTB/LwrKm/oeICH5kZ5EBoELWJkp5e1NU4vzl3/vDozUbX17 E4ziSzjVhm1YoVRVx2VgiQnB7NQIpoD8kwsQLlRpQY7e2C7OydbqeiYndEWV FWqtPJqVyk0pSEgX+NBeJWVSqAI0aE+yIATFRt0LInmT2Z4EpjspICLBJ4hG uR0QPTgKadbfP+biV4cM4uA3aOreg+0DACmZTd1aTZPTOed0zBoNUKpDMG2m yVjVDTnlNRKdtmUTjrS96QRin1p57IOtqMubmtb7Yyl33KhxKSwPPOWWBxkc 3/MlP0SRHkIgh4hm0FwiKc8wxMLqQi8Kn55I75CXXb/+wcF2WZVIms9BmKCB aAui0m4FEO8GEaFkLGEUeoo4tSC/uL52cmZsem4M0ZiuX+bDV/u4Ses7tPjY 7IyCiiCiaGNrzWxRgpPLjvlUKSe7kG8wq5o7y1MkNAB4aAJ0fAYxPT/2U4AE u2GH3TjGMARQ/Bo7NTyAgQ5mofAJ4ZSkMF4mIaM4IUFCAso7Yvb55m/GEBf8 n9deHClFrusEtxoYUQXFeAQwSNGJGFp6VGYRr7hcBGaqUZuyu7scNggYB00d SG7bDeeItKjw/z6N/tcr3E+uxI+Cpz7miPGg3PEg3/ch3IUST10vldKeBTFe R+FRsbjd/d2PvvtvVvyD8iU9/A3EhjifUZ6XXlkC66Bf12jgeue6Q1qaAj6i 5F0uX7CB47RstlBCr6qTTE0OrCwPT4yrGxpypia0nxqRQOvpjK0Wa+/05MDI sBw06arDOjLc099Xqze1xkjw2KQwVyyTkQa0p3UEh3wVE/HN1rv5q2vOna96 5V99CuKm9WGi9Q/9NKB9cn5lVXPVzobNsbq8vrW7tTE1ZLOcnr+F63P+lQHa v1GXG3/ceEMEp23vbZa2NfzD5yUqjn58clwnL9/Zv2Kl2d/fAvNPs6KalYEL 5rgjliJoNY3jgU8OwSUFQyevsl+6FtWl6dQN83N/JCH5364g2nqnxvCTb/TP AWQwGWblxaZnfwCQ4A1SB6T53OQMZqui9+JXMokgHWx9ew0d51PXmbfuHJud MazARqHttXGFtlaurq7ryMbE+1FEYUDnUmhqAUyamzWA/87PmcbsyulpHdiP jav0g214AToqMSCtJNZiU8qVnZvbnyeA+BN79XW5cjP9PgWp8OqW883b96lx 9/Z3pKWC24E4dzwRw/PxIgcIciRJ2VJBJjtdxnKuTqt18u7eIuTyjdWxvNoC tjTJaFVoNfUJWUm3UT6+DCwzMzGAgfKhvvdBAnqBBznMh4FzIWDuoX08KVFy nfryf04H3tlZX1yaEmQzKImhnNRoWXF8e2exfqAlKz/vkQ/jJ1eKTt83Pm5o aqubsvePDHXXN5blFhcT2AlP/HBJmTHNHXnSvDiqCMNKjSIkBnsTiC7RMelF WRiuf2isByc9OqOkcGAYogj/i5lMPz05aOyanjRPTQ61txfWNWTlFScq1S1a dcPmxjKAEOIsZposJiOXazB0Tk18sAqAWDnOzs+NZvX2zvrO7npienIMnwWZ ifyJjwEo8ofyPiH+1S8iyJ54AAsJ/hSGHzUuksNKlTLK6nIvIWvPjM6kqKyX CTNpyHhPh0QbB2hMWC49iEYDdwimUcNYtBBmLEMse3MjGvrXutNbKPLujcO5 VNnYc3IKLTS8RsV4RsT/+yUhLb8uihkztzA9ZFa8RpHp8QxuSnJBlbytszAu DVpZownCYsXRSJD+tRsSgo4AKIpNw7JFkcgxNRlcEE5NDMbHh7oSIV+1yLhI phCdXhSfICGvbyEBm1/9fRHoqh8Z9SbFv4qODIl19aF7Vne2RCcFBLM9UFwf f9YrSWn8zJSuo71kdkZvH1X29FRBZpAZw7C5+x1zxEh2ccX/+xAXly7G8lg/ vCRCKQoB8nH7ZFnNjfLQh/Y8kPUoKOJRYMTP1xdAuacYP7sR/Ajc45Ozm9/9 C01Jf9lgB4Ootq04LYsJoyM2DI2gjsTPoIpkMRRBZElVyuI81CwryyN9iure 3qqbAOndwaDdrtboWhfmjEvzQ52dpaOj/UuLQ3X1skQJlZwawcnCR8azSYKc P+XdLj7HHXDzxqAD//FMd6dnZ9dJqDZ3Nkpb8xDn263dvb1d59HRFcnX2Weo 4b8R2/92+Qgibu/utKv7GhRdp6dXMbzX8+Hc3CiG6x3Edrv2x0Zo5gBSQhh4 odwFcT7+TJf0koSlBfvu7safXtv/YEHaZ3x2KYjKwHIZsaIY6RVAiv0EIyE0 l/TKhvypGVtRQxtiwv00acT5+Zl9dnR/f2Nx3gREOQR7pqD4TYW23j6ujMnA JebSgZrQrar0YbzMrkpyLI3MzxkX5k2bq2NDI10aQ4tcXdOmKClpKaOnctp6 CjfXpy7e7P9VyyAfN853umdKcVynWr61Ay1J9xsHQ+lMWiL+bjDRHYfH8Dxd orHeROYPvvhQJj4hA+d02rp6a/rUVbBefvz2jfPy4uD4ZOnt+Yp1uIeRygUY aXrWaDZ3l9dKcHzaA0wAnAQshChgjE+bD4+PqOLEht7O08+thvw9C+LPC/SR fkVVfnlyvITQ2lMyOzmog/PgDQ+2d3fXRtCSOnragf616rAMmjo1qgazqWPM 0j0+3ltYLkhKJSm1dTWN0pbu4qk5XXo2KzGN1tpden7myChkx6RE89KI6+uL l3+tS+FNawaiUc4tTOqMvXpDd35JYmdXaU5RAky+zC4oTdZpmwBkKqnOQACS UtM6Yu49vMGZ+GkBk7lS21pWk+FDTXSNIiZlxLhhoXg0aJksFGFKhfZ3gyBn 9bhU9uPQqKqWuvX1JVlRYmIqHjwoMzf2o1GfXxwH5B3AWr4kGpVPF2cxiitE q2srsGy5Ei67+1tdffXgz35NG0B02zub41MjSJVUA+13XmMo8Zmzc0OpOcX/ 9QQLwIBbWMKLoDihNKuxvdYNhXdDMwFG8ozEZhZxMgviqEkoCP8Iwz6wHQkw pTViYTadnBSSJKWIchg0AZqZEk5JDqMlo7PAF5dRgGbxNBrtQY0gJ6LEBdw+ Xcfy6jeaTJGfsNLy/+ER4c8ICeN5orh+kQmY4Fh3Wkp4VmFCem6sXF4BLf1Y +8AMNmbrVyiqV5bM4+Mag7EDiP75ucHtdWtmfgmAPWsr1urW/CcR3r8E4W6/ pt/zIl4vtCGO2bdeU574M0MIyff8UYHM8AdeTHDynif9v5/jQkkZDT3tNV1N SMXWtjYQ4+r3KH9k0gMoPac8FepCeVywQYwzspgYEcGd6iWUMpKl/JxSyfIC EArWdYdtenJgeKjbuTxyvb625hhBYBJoOoOhY3JCA9rWZOzo7i7fXLPLlRVA FmPiffn5Mfy8GH8av10F59v5+gojQRlf+MrDZtXk5MjvXvb+5nAswvDEWElL PVAPtCODVV0tifkQHdX8yrKoREhODZdWCQ+Pj61T4zfr8G414e8i5uZXZs12 g21qMJjjEcbz+TAfOMQrB1CTuIBDh1ffIPq5OJ8F5999eeJrCyIaZhdmktPp OYVsyTsS2PTsGLAhU6UkF5knoakyNYup1jaurYwoNN1K0wg+MWMa8sC8CeSv DqamjWAUtPQUNckL52YNI9bewvpUohCdVyvcXhu3jvZ5Up7JKhPXHAjB6OCG c3RouCs6MUiQz+zV1PSoq+niqEh+iG3CAL7UHpw15boL3fwEs0uOo+MPgPc1 P/lf0YJfXxYcc/bZsfTyeG8ytbGnH5xJzpF5YvEsIe1OIOFVFNGdiH4VhfMi UB6EUP1oKIogRFDAkhbG6U2tOlOrfUJ5ebnz9u0m0EXOz1fMg12k5Bh5b/X2 xphB12o2thfU5D6FqTcCWbi6d5Pq7v7VIvvftlk+KbCT4fnZwtyoUd8xMz0A 5S3eX4by8ULxX00mQ6thoHnYDPGwgMl2yNSJ0GtOTQ7AXrSTfarqhaXBuXl9 dlEy0OHausuS0kjVDZmXl3v2cW2qhCGS0HqVzYih4D/zhvC3gHJQZ1CyCuKl +bycokQAhMBAS89m55ckt3cUVdRmimWsNBmrvCbTZlHNTo8gsAoBWscnR73K prmF8fUNB4JVtnc28stSVlaXouPiE9NZkjzei3AYFL2L0wc45xGcS/wphnwn iOSBJeaUZjR1VBZXirKL+B/rRDmxYkjGYdHsCNcoii+RGBHLa+2q3tndvDnE 1Lqevf3dmoYsvanXbBmorJPt7q4XlAkXliZX1+a2thdp8dwfXuKCCTFx4sKX wcyfXCn3vWiPfGNeBtPIcaJnAbSHPtRgPDOajWWmhMWlE2DzEfY6xh9xPSIn htQ2ZVXUZeDiA/LKk5OkVGoympWCISZGhLL8W3ur5pcn8XzsPbTvnVAfFCfK Cpva/sDXuew3dWH5ghdRKBTXBw2JBs/wBJ/IxECaAKNVNwI0K+8uB0J83K6G 0kHb+pX9dSuLZotVodI1IzRYAC+Njmpto9rVlRG5ss6b5fYLKvSXQPyryKvo /ke+1PtQonLagwC0Hy6Wxc/5yTuQnEJ/5B3zkwsJXPCTC7G+XYPUaGN7c317 s76305UUPjk/u7nzp7Eqf02zfGDTuLhRwJ+j4+aUTJpYxmzpgvK9J6RT/FkB r6kekfyACDqdGJs1MaHlpok6+qoBIkotTZKr62ASc/P0lEGpkSNGJACQJsc1 CHwCqnRLc/78tEGuqg1muwfGuPLz2Px8urgkO5QtOjg6+iMvcnFDcl2jfaDg z8yMms2qnZ2Nne2NrML41Xcr2l9yW8RuUNLaGMimcLPTH2L8bod6E1No/SZF EJv6mvQ6iP1SWCQipPBDYqkA6P4dRBX01lCc5puqto682vbRqRn9iH1pdSYw xic8HovieqC43kA0X/tjh8f7UkXhATGv6amROeVJgTGvcUkhvvTnTYqay3c5 Q7780X+96ePLC9JJDg5261rLhVkJ7xwPYnJKRDnFQn4aA8zVSRDXEjdFwqyu l+aVJJnNoN9CPCAdffKouOTlxaGbEYigm+0f7tXJK5Py6KlF7JLGNCg1KKRM GcN43vVdeTvrEwARAQiUVyMctfdPTw8AaORYGimoE2F4PuBkcWNafDaZKEBh eL645ND0yhRsUkhWtWhrZ+OjjnQKh9Ul5VVwJUVAcf40EPI/3vFuFtiWezEy MYKK9RIV85iZOB9qjECWBsAhS5Tqhcdj2FBqvqcYON4KA8VZPwqlBtDCycno aH4gT0zQaBtyi3h5JQm7u9MXF1vra7Y1p9U60lvTXq5U1jtXRoz6No2qYXxc HcghtvbWx0gEyiHjWzjH4HUd/rON8G1ld3dzZ2vq4gJiNgedR6tqRGg0wWbQ tQwaO8Cf1pEem7Vvbsawtwuu3IQ5GnZhP8zDpjapfrB/c3sN6LYVdZkHB3MX l297YGqMERukhH7vZrlhrn+7t7txcnJ4cgpN7G8hD7e3+we7e/s7rV2VkJko m41oJRBBbU5sioQO4SXYnCuXl5tN8vqWwt6+OjCHI44N3X311Y25RZViq92I POLw6GBtw2EdM5ZWia2jen8y9U4QlOXgfjDJJYrihacCsHQrgOBHpqZI2AFU YiidgmKwKIm83OL4T9fWQTUAQOKk0BjJDFI8nSngGUw915wXoA7HxwcO53R6 YWEAPTGrvBJgvLX1pdLqjB5NX7+mLTmdS+XxpPlifyz7thvtlivpeRCHwM38 EcpmSbvtRgFIKYzMApDph1dkDwyHKSCyRGiAkajJqMJKYWZhLCUpFEAjBCOR +MGFFYK+vhphNr2jqyRRSqYmoQBAwvPDIxOoAE3tHeysbW2mlQNNT2SwWS+/ 1bUMWV4/OT2N4AcFMD1CORA0AgpyMPs1RUTh53HCuF5AgtsnVA0d+asr1qmp AdAtF+CM0GA8Gk3tusHWxblBJAs0zJ48DMH4aR1eEO1DDyqoz3THRwCA9O+X ZFxcvGs4+ZYr7THGM60sQSQp+8drH0lNZhBBHIBPcUXxCqq6kVotzI+p+mtL GstkdRWe1GiWRFTQCMmj8/O/MiL1txf4oJPt8iowsgaH1Ta7MV3GCo8LeYn3 eRSCihFzX4QweOKsn1yJHqRQrbE5mBP6nOBS1iTb2xirami470UfHlY6oLTS UNS/Qd82M6XbcNpaOmta28tUutYQjlcQ2wuIg7z6zPhcptk++fUmcaiGqiHF 5IL9+pRzY4Wfx0IYAEGZnBwpLk5uby+9fPO2qjEnKjHo2ifn5l1+4xkt/XXi 0qQwHvYOyvslDv0CF+ZB8X4W7fUkKjiY4xPMCXhFCHsUDmUvsU5CRqS/cn3/ VwpUgYP91aHhvuyKcq2hBxcvFBVVkEX4n/wixPlCeiqGKECH83wD4ND+EI57 VikfyGh/lmthtYiWGh4S68FIjZBVp15cfhXe+4+/+FeU8enxqoac9LxEcRa9 qrG4qqk4KYOdnsMBc6xAEicpSFJp6opqy83DCoB5NpyWbmV3XXsjOHCuXaV9 QwSxZcrsz3wFWrK0MX1r1f4u3FVHT4s0mTvAfGIe6TaaO9adtjG7cnJS262s 5Mko3vQX7YqSrbVxsK05bFDy+ZHupu6CjFIuRRTmTXuWXpEMGh48YtE5v769 enp+zpUUrq3N1nQo/p9XwYKCSlyiJCo+LSmvskOtZ6blas22y78NJECqsbmz 606g+TFeszIJYXGhTzCQwAqikh+jKS5RhF/QhAcQRxgJzmRIfILBPgkjvUSR XcKiMTyPmJSo9Hw2S0Anc2mDwy2gPc2DXZbhHsuwfGJMCRDCqsNiQNi3TZ21 7WUnx87tvV2ERffyb9MO31De1Xzj8mL38uL44sI5YpZDKYL1bVp1E9ivLA9r 1I1DI70Gffv6qg3mNQNQ6uT4ACJEtk+vlNeXK7VQPue65gLVQB3Alm/f7pye ngI5vrW9fvndGwe6+dnZyYTdODaqMxk6AKibHDcBaORYth4fQRG4u/s7QPsY He0DqAYgIklurEgKxfvUNEhhB9cYWWE8+LjNrfmyAt6gSX4Kh5mMT44UVoia O0pbOssvb8gsMNVL83gLi5NNHTX3g6IeoSj3QogoJhkAreRMdngMDcelCyTs nEJOZByGkUwnJzAIXFpOEb+gTIS4Hn0Qo5HN4QiZbCETdFQSP6mmMbewTNTU Xopgj7GZWYGUJykr/bd3xP0QsksEobi2qKu35n5gBD4hKSGVfes1+Y476Y47 ksqbesuVEkJMeOrPQJjdEHZdDwz9Xy/IKDI3PpMUzYkgJWBpyaHg9Xt6KxFn pJjUyFgxlpeBjxFFaNWNZTXi4ipxXDqZLkCzRBG4OP9OtbyiOae2o/hzPefr P9gF4hZ45E7AuuLDQjnh4fHeMFWEhzeFQEohRyX61XXmmcxdo2P9SJZsZG1o 1WEdMnXq9a1gfluYhTKWILFs0LYwtLZiVRtaKlrzxsYVj1HBd93pD31oZD7f I5r882vagzC3zCpBZl7jbZ/Q4o7swupuemJBSnadaWQS4PnlpSmjodMw0Jxf Ia1tLqKkcPNqCg2G7tN36OgvG+DbW6tHR9AC3+npyciIanVtZW9vExlHSDk5 Pd7egQyMzvVtpaY7SUIKphH/+ZTmT6YRE3g/uZAferEeBkRExEc9DaS8Inp5 Un2M5ray2qr/dT8yPad03QHlvnMsj4yN9hsNbWsO6+SkoaK5Sa3rIwoIXpRA P4ZXQaMktz5ze++rBy8Q32fnZ8wMPJiBwR2G7MbtvS22hCgu5W/vbnZqWyZn xzo7yupqskxmZUtvDYrtrjb3Xb7P8HAVg/ar94evaeit9qQ89mP6v8SFXQfL vMCiX+FDXIlBUGIWHPpheEBGReFXwonvV+A56mQHSHMoZ9fScFdfG9DWo/jk 0Bh2TXP9gLbJYuuvaclnp0fD1HK+cVJCRXOWG+UJJwOn6K9hpGMZovCpmS9d i3zz5vwqQ6xjbvcLkld8c/nsx/ra1cx3V16AahuGtPEiQmp+Tl1LUWV9VryI BBRD26huZnZ4a200v6bSDAbFCtSGwxbV6NjA0oJpe3Mmv76zqrXx4s3e7sFe jIQYwHKtbM3iychDlm6gPYHePjTcFcbzUesaAfiZnhpgpkcNDneBzg+AEFGI AtfrTK0bq2OLC4Ngzhkd61PpG/NqhF3KCrW+qa4zN5IfQBaF2SaMxyfHBCE6 MMatQ1VV0tDQ3FW/vDLzCE0PZfH4WdkPQgjM1PSf/XH/9Az/2T+6tKX78kpw XH7qiffXF1AHVIzgETroeQTuRVTEw1DivWDS3SBoBeRZOJTD8B2/POmuH+me N+URnNXwjgfVixRUWCOkicL8qcG/+LJySvJMhjYYITQadK3DQ93geMzWj+R5 Mwy0Ls0ZLi93fr9C/1PKxd7lW8jtCh7Hx4cHswAjmQztOm2LWlk/D5T3Gb2s NDNRljw60nt5uTa/Yk0rlVW1lmqHemtb2kSyot0dCMM7VhfHJy2Xl4dwaP+b 3b2ds7PTv4AzaG931WZVqZW1WjVE5aBR1c3NWrc3F1aWLJsbc0sLw4uLtrEx FVAZBoc6ASYRy1h5JUnTkwNQRh19iziL1dFVouyvk+bFdXSUFFemrq6vHB7t F5aL2rorwX7vXXATopCtQxYkEwBIKVL2axwLoO4HocRQdoBASpbmcaV5nKz8 WIDBUmUsVgqBlxpDT2RI89gpMlZ2ER9KZH0j/gjBS2BLk3HixewUCaO0Og2c FGZSuxT1NrupsrXNHUf3wJLuBVMfo0g/BxDdseSCEh6Rx/jBB09LYgbjGT+8 eh+rBRDRI2+Kexj91mvqh044EHZ65AtFvruEEonx/pzUKGV/bU5JgiiHSU4K 4YijpUVx1GRUcZWoV1HJEIaTkvHgTwCZsHF+ioHW1Y2Vqtb868WeP57o/uz8 XD1o+8kXX97WLauufhrhFsn3csFG+DFQYTwPX4ZLr7pud2Nift70HiCtWBXK apW6bm7OCD7fwpzpPVkGzKlh0LfNTRtWlgapgrg4cTotIQPPS/CMpv/0ih5I C1XqWtLyWtGMpNFZc2l9HyE2G7GKr68tqvprdNom3UBLT2/1sLEjqzSzsb1c rWosrCtWGFR/uIf+frnC3scHOk3z+Jh+1TlnHTUqFKBLNw5AWbsbZqaHP5pg kyS1+ZXdKl2LB8n7vjfl1msCKZnxPJgJPvQdD8r9QPQdN+pDP8IdT7xbFMEl nPDjK6o7lgDkwsoVQfmwSlU/AS1fmi7fHmZXt7pgCei4IG+gU4ox+4f73zyl n5ydcCREb9rz8Hg/YgoGFevZJq/iZdNfkx4my+iFpUJOOi4uk/QSfzejAkqS fIPf5+pxhwe7x59LMoBccHJ6klIc9wLr9TQ68OWHdB7P3nEcvMIH09KwG9tr l38D7fVqeXR6zjDU51yG3ObXnRaqMM0lmpZdUTw6prVYoKRVo6Om9u5KIHxJ wuBX2IDi+qrWvkpPypPWruJOeXlRs+xK1n4muQG0X1mZs9mAYLrc3d1qbioY HtacnZ60tRZvbq7+6euMF1/cql8Lk46P92taayN4aTpTr2HYxBayS+qr9rYn AS4Cg71H1WG3Q6nPFhFavSWERtbiimWLC3J3N+1b2yvygbZIvr95pJuRFpVZ xluHV9AA7EHHeQPAs7Vqn5nRRyT4d/aVb63ZDUPt6aVxY3al3a4Ec8jUlLaz v8Js6ebnUME1YXE+GJ6vuJibUy3IqU5eXR7Z2pjr1zUFxriWN2c4l0dEBZk7 G5P5NbXC3Jx1hyUlL99iVcemS9zxMUBxbukbuPzQBfd6ufyrIkP/xNLQowJt BfM1UB7CTrNQkmfIgZYINgQggTO/oCm33cn3fal3/EgvUCyFstM+oezXNUxM KRpam1+FxpZVlRl1kL3IPqoE/Xl2SgeQ0gDswAwObFbF2zcfr0j+Ty4X17Rx 8Dsdrjoh780hY4da2TBo7Fhfs4F3R3FInd2V1tHenPqCO6Hev0QGPwr3lZaJ wNDuU8n39q8mNIt9lp9ZMjW38NdU/ehwG6BZjaoefBoEwSJ7IEDXVsfB5I/Q CyK8VBPjaoulVzPQMDmhASNr1WEd0DeXVopN+vaC0uTM3NjCMqEgk7qwNN3W XVVQJswvFQKUcvm5YV5eK+lUNAcxU370jXoWTvUkRYVz0ZJcGPBkXyGfzFxO fFqMWAZlqokRY5mpkVwxLi6NABBa5jsfJCgQKZsdm4rNK0surBCBKyV5XCRe QyShSfO5/jSqBzHsFRb98J0TOCWBgY9j3A4kumEpGBoDyYv4Pr+3GxUApMe+ tJ/dqB9Fct1xp/3zGb6gskE31C3MZff01y0u2A369qzieGZKRJu8Ij2fE5dB iObTo+KjREXp0QkETCyKI47kZhAOjvY/2w5/sNR29c0vOxccm30GEzk18lkE xo0Qhon3COF45VRljk9oETYx8LHAtOZcthTUiRKyaeuOUfApPwBI8NbaVjgy 3ANw1ML84PaGlZ2cF0phBtAjHwSGo2JC2ruLMouai2p6wHMnZ5eRbFGnJ0dD JjkytGH1p0UPU8oq+mrlPdUdneWSotT4PMnU4vx3NUfAzjmnC/NjAKcNaJp7 ++rUyjq9tuUdaU6zVtN4ABMYOde2ZuaduwfbGSVl/tGpmkGNJ+P1ExTmlgvj l0D8kwAqAEIeGHowgfmzG5L0ifbza/rP7oTbbqSU3MzZWe3MlA7xRLKPqpqb 8/v7a7c3pja3d0kCWVa17Gk4ygX/YmAE8t5885XuLmDi39paHbcPJWRRQ7lQ HJY/y4UuimCLsQExrqFcL4YokpiMCmS7ARFDSsEcXOWIABh1eX4OWpU7Ojkc m7GW1UrW1z/vmIScyW+QZFQIY2X8h+F+Lz4hhHqODXtNfJ1Tl/q908h8YQHN cnrk1A6ZU/LyNp2W+TloOrKP6/rUnaVNrXJlF8BLc7PGDaclq6yMlBwTnUBB xfBjUkW7W86a7tJ+fadzZer8/KNM5h/AJPCm7e2liLu7VttRWJS0se7o7Ktr kVd+v/faPzqyTNo/Ogkqs7a1dXb+pqW/Z31r6/LrMBK0Pz1/OzEHRffsHez2 abqGLRow0mdnjAs3ElZcpUGDl8+ACp9eVNShqM8o5Q4YW+rlFbikEOuoIr2U K8hnAhgD5o2GrnxP6jPE+xps+OTQ4oa0DccomFs2nKMVzRJw5RCMqXhZpJkZ 3cSEBqAm8F9JeUKshDA+ocoo483PGRdhXj+LrXdmWj83Y2zraQE1XFsZAV8T fMShYaVxsG9va6y9p6WgpvrNyer+HhTku7N/NDBsW4MZoP6DBVlrnlt2PEKR H4TgEWj0IIT8GEV49M58dD+Y+CKCptbJvXHcfz0nQDwRvkR5X+fqyvDCvFln 6p8c1/X2d3f1tnfJmycBsBxVOgDmXzDrdR3XFKgAI705d4AHwkj6/4dZ39fX J0gpHIutf9DQrlU1gk/fo2l+FB6QnCOsqBM/i/J9gUO/wqOeRoU+Cg+saKqY njBMz4zv7R+ZbVNtvab/8zj6kQ+ruVu/tbNvGB7/tjT+v1uQcbcwPwpECfgi NzlqgZSZntRPjmvmZ4w3ZSg4RrIHI2IXDBylqrZfUdPYnCvOYmXCS2+l1Rnt XeVpspgUCa25A1lc+/gTn5we64y9+wc74RxeZlklUxD7FEPipXMQgHTTQCSB gy/Sslj51Wm5FSJBJiVVBrlCIegoWULjZhCzypI5EpJIxiquTIeyDbxzTwIb +HlCOokmwMRn4D1wV37gD0A3DiTd9Sbf9SF7RFMg9pMbWAiIxUc+1BeBHwMk gJ0e+tD/8QxHS4Dye5+eniLeNYeHu2enR92qpiHbQF17QWwaNlaW9jQ6NDKR w5Gl/xDgklqSkVsp6lQ2XP4ZhqOb5SPrIjUV/wQTDDQvf0YAFGqKC+rqr113 2hAujMlJbVF9OjkFS0uLgNJB29VgvvoIIHV0lFhGIIbKlcXhoaE2TgqfmxKH 5vm70dxD2IGg2Zcdix/VYX1tCUHXH/YfiBAEgCWjrm1ksJOXwVMOGj6t8J9V ELOAwzHX11erVkMegDCt7fsqgTNadYMTDmIatEx6YpJmluawwsgHvuS80mph Pv8hyvu+J/Xn17Tb7tRbr6nxohgCm/XDK5gHzYP+rxcELyyrs69xcQ4Ii+Fx O5A4g8hYUChq6uqytZqWt2/Pj09O37y9KGroqupo2dxd+1qzw+npsVxe09SU X1giQMV6BbPdCEJ0JD8gNBaKyUJxvYAyTkgOhVP9QDSsVV3FoxARDzSLphdw DWblzv42K5MQxH5NEKCX1hYuf0W2gpOmUd2Scz6Cz3ocHvgpQHqFR7uRXlW0 FyCX/ynf6I+Uk9Mzw5Bme92WVligNfSsOUaQ+AIwry4tmDWGvvlZI8yIN2wy 9/dp5OPjBiD9p6Z0ozb1R7e6+JCWa3Fxam8P8uCyWAb6+qAR6nAsVJSLrSPa tQ1HIMulVVk/ZOytay/+1NHrq8obmA2oQdEl16nAXdr6ALSrWnIsBrEpiJ8J YtgC1+weHCQXZM7Ojw2N9KkH1TNLC1/Zkd5feXSwvrMxuu6wIN315kiHJ3MY Ji0MgdbbXB0dGGzGxAdExVOjEoOjEgNHbD1ZFXxsYtCIpWfYIrePqwiCUIW2 tqhBDKARPS0yo5S3vzm1vGA2mjsqW6T6wbbsyiRqanh+bQrY5mYM4KEAJgXG uGVV8vc2p9r7ytR6aIUOYS3pVVeWN8scS1aFphOKg1gyw3x/ZoS+B/GKXJo3 zsyNHR4d6M1GTyJHJOVoTSrL2NCwzTg6NbW6vvzXhy8h34KZnsRME/2CpgN0 9CwcF8T286MHXJuPbgfgmrqaLDZ1iqzgJxfyP17guKlZoNNOT+v71O1Qnt7B /sEhZVVD3dLCYHZRycLcUIe8PZKWbNK3ICyTRn3b6ckCROX2dh9MbJcX355y 9u9WAJip6myRq9u9aVHeDFxRTXZDS35rT60fC/8oIvAlHuXPwPhQIQYWyCWS jfMkBUsr0udnhgaHVCqD9WUwt62n3w8r/O8XeCCRf/GL+a8n2OHR6cvvIlyg obTqnP9ItCF2AJOhfUDTOD058NHIQog7r48BiAK6eVZeXHo2ktY+rrW9GOzF WczsIv7hVXTn52sONPohi25qelCYnZpT01xYlnwNbz7ESFx+Jjm1MK6gLKWg VCjN5YLHAXQE5HVWYUJRdXpBpTg1FzIiZX4u+4ckN1aWHwd+cp1P4CGKdD+A fBv2MopmMn75vLHo4w1c/DyQ9osfS1bWfu18+9HENb8yox/uX3Qul7bWS6pL 2lS9vJxMNwpWaVImy2h7+zuf/uQPluv8gedv3kqrpFHxvPvBVG9qMCbe0wUb 3NpTvrk6BmYeSIWc1WHiQl3xPjRxGFC3geaCiJWbW3tb0fBQN5D7qw5be2cR TRiVVRwfFhviRvUiC7BJ6eRBs2pi2mIdM56eniAdcnZ2VN1fa9C1fdqLrnjT 4FCFgz8mX367XEH9hQlVf60GDpH4DGDTNG5vOU9Oz2cXHGhamiCrtqi1+HaA h19UIkeQ/a+XuIe+xJeRoT+7EwOpkaCP+RIj7njhHvoR73rh3TFMjWHg9Ght fs4AhsOAthXASMfK+PrqxMy0aWVlTi6vnp62IXX5I+9hNquqqyWNDblsMRYd 513ZWhDJD4TREUyZcUUr5hPAchUUxnKyKDGpUUvzE22K2jCeD5DgopJ4L9rT iHh/cKW0WvRr/DXIh1MN9t1Bub+AnLRDXuJDX+Lec0K5EEJeYH3jc5PkOs3Z +X849QrsPPxWodMDwTpsUakG5KswZy6UsQqm0IWso9MGRH3TDyrsdi3Q1pcX hmenTaNWxcL8GGKau7zR/c7Ozo6PD52O+ZLSlNOTo+Ojg+am/Ilpq86iVvY3 gUmjW9MiKoojpWCqmnPBtIYXoOaWp49OvpTU5teKoDiXJ+F3yut/iQrBsPH5 FTmvyZHbe7sXH07v/brO1WUzUD+HLb39hr5veBAcq3hxfHIyNjWRkCUD7QPQ 49L8FbeyY8k8NqYFbQVOQjjTYdtwjo5YeyL5QZUdlemlcVH8gMHhTrOlGxwj nopg0w22ggbvVlb2qKsBEOJI8N2qytKmjNGx/ooWSbuitFlexJORxcWxFlsv OKnSNYDz7pQnZU0Zm6v2mWmdYagdfCNoMXRMQRUR23tr9rfGFZoujb5ndWXk plgBtQJ7ADOSpUldyq76puzK5vrkdJpIykzP5mbm8VKzuCnS2NX1v5qzFUn5 vr233qHW3Q2KAIjIjRCG5rqGxno/weAAXvoFTf7RN5otztzdHF11DKfKim65 kl+FcCYn9bC3J8zqOKGzWDS9/XKVVl7ZUGEalKfnlPzXE1xlTemQsRVh8T7Y m3t7Fcy1Bb7kX/aC37UgsipWlh7IwnlQIh9gAtyIaExsGEKngmhqT6JCIAY6 HOo+xl9WKbFa5YbBdoVSDhqtT60MJqXYbGqgRtY1NxZWVIuzC7ExmYOW7wiQ Tk+PgEyEaWo7rsUKEoUHzix+aJX9dAPCdHp6oLBcCCdHiqmuzyoqEwLokprF nJy26Yw9Nvvg5Sd9GKb9uXqd45NjhDugo6cmRUL7KM0RsgmzGLIivsVm0A8p qcno+HQiZGjK5bR2VVhs+mIAkKQMbhoeWnr73M+TM1gRbObzcMoDOCMlst3x hBJ63/P8MFn0r6Ej2D3pRRD9oTdJNwSx492gFP8d/U5aXTq5MNckLx+b+op8 NV9b3kJZLy8UevPP/jhfWggm3sMFG45PIggL6En5TI2xeX5OT00lBDLDsEn+ M9P6MVs/0GVu2gYBXmpsygWif2JCXVmXmV+SFCcmC6VMtojAS6OIszng67R2 VmQVJCSJiZMzcIwJ5MC2oVE3aFT1SLfR3zBCQikvwMFAi3moF1ng+G7lYm9v yzqi1MLmI4DK9LAiBipw3aXVyvqDvc3N7YMAnDBZWvOPp7j4tPRIPuaWR3QE neOOR7vg/V9EBT0Jjk7JpiWIGW4Ur0f+eHdi8N2AoLi0tL2t0b29jZWlkeUF oBcbJieh3B17e5vnZ1DX3d/fOTzcu87y8g3eR8j1a2vLVdWZ9fXZJAEqWUZn pWFvMq5eE9MTBKi4bHpEvG9DY15nZ2UQ03XIbug1dHpTn2LifQFYCuF44JJD nb8S/o9YUWaXZ30ZUS+iI59GYu6Foh6GBzyNCrr2RHInhzyN8scJeAdHR//h VTb44VtbDtBpYdv1TU3tgwUjIGR1RoXVqgEAYNVhPzk5ArB8f28LuQsy4cws TlqnRyyWgebmQkEui5WOHbCoG1sLLcNqSY0oPpNcUyuNTPAHzR6dGByfwwAt GRbrVdmax89lXfvDf3nd37xLVD61MDc1P5vbUE1LZkbGke+h/fF8GiWRdivE u0vbf/kupXmjQl7QWKsxdoN3gWIBloZnZgZ3d67oUb78MyAZttuVulv+uIeh 5KqWOtA+Vptmfg5ymXAsDw+NqPq08s1Vi8ncX92WZxxqz60WVLZK5apKi03B ysDqB9tWFoeN5g7wr/Fx9aZzDCYpNsM+2P245GBySphK3wgQVJO8MB8O+RcW sDr7ywAQWnPYqtuz/ZkukXx/AOYBdgIYzDbatzAPrek7lyxTUwPYpPCCmuLN VdvUpL5D0Xathq/ABxaremVxSGPUxaWycooSc0tSuvua8srS07NZUA7MbE5u EZfGp8iqmy//8ihLpG1b+nTuBLIrjgVEfHopO5znE8AIfYymwBHZBE8C224f AH11e91WUlXz0Js+OQGxPM/PDc5BzIb2IXNPm7zcYjH2qsqFOQxZcdZtN2oo kW82dRh1rSZ958UboE3vbG6MnZwg5qP/vCH3jxd4brwYtOlf4YJf4dEABT2J CvWjozwpodekvS9wV2EjT6KCO/oa9rcmJsYNCmX3mmNkzTFcXFUNcNH+9hgY IOPj+nH7wPrqJKRDfTf5Aqo8YdeaDO3mQQgm3VS6bRbFzJTuU9vsTVMS+C8Y EbLCBCQ/Uk5RAui94ixWaZVYo+sEIjWvROBYRdJdvg/Bvn74jaRJl4MjGmEm 9SMf7CvKRVlMbqmgqiFbZ+wdsKoDYlx56UQAiooqUnXmfllxYkY2WyRjfgqQ oGzbeZwgGvVOIPFp2Ht0BDGbBEI0cIgP9l0ohO3j3NHXhqO7Hlf/uu9FC8Di a5prLj+Pc64cCB0rs2urn3Eh+66CBpmHR8anIMIaKtqP+byosSq3XuZOfhQY 46bWNwLYk1khyK2Xgjl/clJntSpmp/XIR0S+Y2dvaVmVeGS4p6ZBKsygXXtz SeAN+RCSPF5WQbwwgzpoVl0/dGPTOWrTAjSiVjWALtTVXQmUIMgRqLdGP9C6 s7PxFwQajNm0GlWdDkZHBl2rStkwqG8z6FqUygbDQCsAThPjRiT/QxRL8s9n +AA8IzOHLcxi4rjExAyGN9PTnerpSvIhxGNzC+NpAqwb2YubwgyN9f/ZO/xV GH7I0r63vby9tTQ3M7CztQi+pM2qmJwYuvxTNRcg061WXXmFGKgDvEySP8sF QUdQ5kOu53WyaLo4OiTWMyGT3N1RQUsJ52aSrOODaB6UAggV5wUAki/9eWal 4NeegqxIzjscuTVZTZ1Nt/yjonlJooLs7KqcZ9FAfUP9Eo51IYQ9CPMpb2/8 s17tmwuA1menR2sbK3OzBoQLFZl/1p0WyNl4/j1AAvupKUNDR+PSgglm335f kKE3tziJSwrxYb4U53KSpDRvxovopGAgwaN4/qLCOLIQA1ATPSU8iOMOWpIs Co9ICABwFJ8Ugk0IiM9lnb05u7yyh3/FQAbdA7wAI0MYmcBMyJMSE8hoNvEe JgAbT4kRse9jAnxo0Q2d9ZcQ795sRDwtp0o2Bc+6iLUH4ISFOSPiPvflBXnf ze3d19iYH3ygeKvBYWVdez2QzkDQOJeHLTbNiFWzt2mvaa3BxIWaLd1lTZlA Y+pSVg5be/i5NMNQ+8KcyT6uzKpMRHG96zpygQK1szHRo6rmycgRENsIBkCp 2o6cMbsS1HbE2pNSGAOvzkO2r/SSOB/GqyC2GykFDaAUNTVcrqrq1dSCC8Ct Kluzu5WVg8M90AddgCyBiCYOkC2oGECG4xOmlWWrYkARxgZTUAxXxJQWAJgk TM+OAQApM5dD5EEK790gvN4ydvmXM02AsuhcNdrGn4TRo/l03UgziusRzAq9 G4RDnJF+8sOWN9ZsrlpBg2+sWhh8aU1T4+7mKACorPSE5q5S01BrgoTU1Vfa p64VZNMZwpBAAvOhN7mwMrW5PV/eU6nSNatNjbqB5uWlycu/1kr2ncq1Q2O3 qgnWxVDPo0PAhPMKH+pPD30YHggQ0Ysb0SIAPmkMnWsrFtA9Jib08DrsMDhO zS6anjIsw0o9PPbNQG/dWJv+fjVfWR6zWXo/XI9oGjHLoZDwgZYJuxqpCdyZ zdecC9BCzIp1eWkYDKuCsqSMnBgARVKz2Ok5UK6kUtiqk5nLBZhHo++++DCH 6vTs6O4upNldd+zz8/OSqnRxFvM6Eyy8iBYDMA/iUASAUzKUSDN7bnk6RkLs 6K8vLE+ZX5hUDvWS+MGyfB40cD6ERmAcQRkJstgvI8lw3AHpFzTJHUu5G0z6 /7h7D7Y2smxt9F99z73nOzPnnJkO7nZoG2cbbJNzBuUsEFEIIaGEEDknEUUG CeWEMjkHCUTOwcDdVQUYY08fu6fdPXO3y/WUCqnCrl17vSu9620y/lEg4TpP 7d5bvG8U9vtXl9Ha1zaln3zx373E/fczDPjTD69wOEYauLDxScuvdOaad1E+ UOtenl7xzM/Puk5O/iD38aWbadnzIJLwPBH1Bv9YblQ0D1S/JfhEMt6oDa1r npHjk6O6nvIQqp/DpbbZBqYntTA0gtJ4IVepqkWtbNZoWvLE5Ox8LEQHilS6 /JhaQVjMyOZi+pTtF5fY4PIJjo+bAWpaXJoZHdEb9J2Qo1bfNQuXvvoDbnxq 2tXbV2sxdpn0MoVCqlS2CCvyNerWzu4qaXu5QdM8NwtNpAbr2Pcvib+ExjKF BAD/OJDZkwLW2Oz4xIxopoCQB2NslpCUycNnCQgEVkI4hvQ/z1Gy/uadrXkA YIDY8q5MA5E3NzdutalPTk9vJUb9821qwlZcwYxivAOiGSmZEZcRmM7Hgg2Y BTEgmvEukPIiU4gXlKRFpr6pqM8ncuI/2JpS/KLS/MfnRswu3f7B3sUVcdaH HoPXnYpBdjF/bEwdSc3ILBCPjuqcLg2GlfJjaPSPwaj7kUkPYkIjGaSKtp5F z5+VywbTH+1trLodZofJNaJeXrRMTRkWoBgVS3lTtd48uHrDNQM0yjWPo6G9 qb2v4+L86KrC++XTmZwbjaD7BpCeAeGemo8CMBJmxvCDO+1tCPVleXUeu5AS TEO68S0S+hXF8Ae9DTYsTt3Bwd41G9WXtIPDw1ZFH9hY29pEVOPnmBhcNimI lHAvNjicmgyWh/FhsFwII/Nz6cI854hyZ33sU20UyFmVSbW+Dfvov2ywXQoj jSmYmBVOzUnl8VGZuWAOl/W3j4/r7E6VcXjI4VJkScgFtbmL8+b1ldGVZbvB 0tUzVAM6R2Ns21wdQ1Snhk7xO9JTEjduUNNYLyvQGNpI+fEA/MRmBAKcA+DQ msdV0ZLfMVDudTvdizajpQv8Fc+OEVSnW+39Kn0rjZ9YUJs1bO+bmzWIarKA vrblHb/GupfRUHNmr9uu0PSCx+deHG6W1WTnE5NTiWwhFHHKEVFhdASl8IiK UyKIhO8CUf/1Jqa8FaqZ/geoYJ9tGovD7BqeXR4FbxyjgCyoLP0hKPFZPPGH 4OQAXOrcjHlxbnjVY1dp+jt6ZIsLZr2pL4pBeIV619DGo/AyXiT5p+Ynh0Aj IYzMTiYy47FZoWRWFC0vHpcVFkN/K6nKMhu6ECvovy9GQkoDjM9OZxYLO1UD AaQEMOaRWMfnUEWViHBaHDGXEkpFIf41yMWWHHE3OlBcK4IL2ZiQdEuoeOiK vbu/s6uv07tiBy8F5GRftAERdny09+2uHyhoZmP3LfORUQ9FlQChiTjaIEvR pBZxyizD3Ko2W9+gon55wSofqsviUnIF9FQW9XEwkclLKShJLSxLExSlcAuo kors42OISf74+HJuWfEusYWkprZi5OPI+PABnJLc1VcPXgFJRU6+mFZYng0A Ep2TCAQWkMjgOKncZFFpulLbdfr+5PQ9FB19dvbe4FDHZAbiWFGCwhQewmB5 WaaNJixKycjHs4RESWlqHI34UyhER/lTKCacRHgcg30Qgfn5DQSNABb64RXh QSBBWJb/MID0KBD/wB/KY/rJl3DHl/AXH0w4OovJE99/R/zuBYaRmyXrKZ9f nL2AE5TeQ5cBx3G5Z+1WxfSUdXzUYNDJTIYu7+o86NLxUa3LMQRu/PTbB3Ig r8/27p5PNOlZQvLTxCc1sr6WQQgghdJCBFWZFifkIKjpKsGx0a4Ro9ncNzOl A0/WYRsYdQ057YMADA8pmmS9ZaUNuSVVzMLSDLgbU2/5KwHuZQnJUwuT1ydF 1qcnR6dwra6jw30wcsZGdFDprm//UiNnX1jxRDHwGaLsWqlEVMmzGDt5FaLE TEJTZyO/skChbN/d2Tx9f6wxO//7KQbDIBVVpCDFjiEbYyF0j2wRGdwsMn6Q 7EgaGwX2ZAsJr2NxXYMa5HRHB2sKZdOAEiIuq+roK2rqvPjc/Hx2fv5biowg YV1zY9Gpb2rbJFRuYhjdN5T+Or8oBcj0yNS3cMmMt6EpvklZocWVzPiMILAB 5BTAToh9CcCqd6QnxQ1cg11FE2IOjz8n0M/fHx5srnmnnC7lkK5LNtDxXUCi QtNjsSvbe1vuhEbHpGT5xBCALvxzWOIbDGPB89UB579j29paXpwzzkybxsZ0 ywvDI6Pq2Rnj3sYYS1KMz+FsrDqRCGTPknUafGfcPGwdbBuEykyffWyylg7U lbeJ8Zy4mDR/0G9hcNw7Qr4NpDlTRAQAKepjbyYS9xVMe1VQldPbXdvdXb2+ 5l5cnALLxa8KrMvUwo31u1EBxHxmRYf0JSb2CRRfERpBQ71CR0MRF1fhFhAJ VVLEj+Fv/Ynxk5M6gFJuGu2RVFOAmvSm7qn5/+W8n72M92dn6mEHRDcXmlzV XP9LFE5pUFtsypbuFqt9QG/u8CwhMV3m2RnD5KTG6VIIqtKTskMH1Q3rKyNg p2ygol9Vl5AZDAW/FZMnJtRQpVpNw5CueWpSCwDSyOgQrzJtHo5pBGg2v5Lh R3is0Dbtb04XN+b2Kuu6FdXRae8W5kwzs1ZsXhxAUwBTLS9+QICXhAPwNqe0 WKmR5RcCBS0FYKHrpJtr4ruC4hR0GsEPk/4sHqJjvfjDvWwXN5R9pKVLKBWt 7K21MQBELXZFYgbLL5kqV/aswvFyQJQ7nVqzdeA5KsonIewFOgqINlQ27n5s WFJ6pC8WgORwn4QQLHihBehwajiFHVstzecV0+vaJRZz/9ra0sW/M0BCrry6 s+3HiLf3Y4IexIb4JIbdiwkqqRfXd1b7ExN6++tUyiYMk3In0v8pHIkE1vei gzLEWRaLcmbauHQ1TqYmoeB/oM0BUL2+4picMHrXlt+//6bxG9D1j7q0atVH uUjXeMli7pma0C7OWyYnzeB1WHE7TaauOqmAX0gvLM/S6boEEjI2hfI6iohP o/zFBxeBJYtL6Sg6mc6kiYrpQE8ftmuB/i7rLOsfalv1Lrs9s6m5RN/EZMeI paK9P78ou6gia3Z+YnTCWt0oEJemA4xU0yCgsGIzeFiemMbiE4i5seGMNwRO /PU1I6JkaXWBXcbgwUIcgCgg49gikgCK4k7Nyqen5ZEjqJEZ+YQ3KPwPweiH UVgw5z+Px8XTSHdC0D5R2Ltv8X9/ifv+JfY/HyUr9K6qxrr7b5MiMeRoHDmW CAASPiiRUFiabxvuLqpgv40lvYlJ0hm7wHk1hj5wqb1w2svR0QEARaqhJg0c igMgpXUYYsEy6CBGC5tF7rQrVzyzF994hCPHPjk5CSRkfRcQEkwJcE7MVsmK 3hIehlGTnyU9rO6EECnYk12cOTZhMxm7dNoOl1MOHrRG3QKeshagYp1M2i7O LaKqlNJ0PjGGEZ6Sh75pO0rjYnvVXTML/9CeiUTgbG2u/k6l3r+0AczsXvOO zEzLDerpxTmDaZBfXfiOhA6h42eXFze2ISYufo0kisxC02h8CR1FozB5NEHR 5a1xPskO4IppYCcYvQmM6JJaDvi527s6vbA0PTcViEW3d9dYnOa32LROxdDO DlzX5h8USP+qu0BiieXKtiqpqEwqiIIBDw2oCYXURGY4jh0D8BJs93hDyI1G M6FqDmC5RkcIdkJlhfb0N6BZkeJG7s7e9qeXtrax4XBq1r2TC7Mm54h+YX74 HZaeyheOjWkBCImiMToH27mlJX/zTwQaurQfiZD5c8xHJycH7kW7e8nZ3t9h MA/sb030yLs7+jqdI33S7tJgYqreNLC+4pyZNoyPQyEfNqdpdtaytrZwfYTL Y8EdCxQxFCsSAM4Q+uubKAh0IDo7PDk7NJTue7PoLej8IOqLVBG+o6NC2lSQ LsBqLApZe7nb/UU13Y6Oj2lCth8+4SUmxgfyJsDBFTeyBZ98lDwY8RIdHcXA ZYhzGjurvR4HEKxAd97dGO9XtYGdESmYsVlIK/mqTNizKxVmc3tH0tiBzxX/ x6uoXpUGgOGa1nKo/tdw19SUDgidlSW7St8KoA7Y2FgdLWnM9cP7FDWwgC5c Ks1jlVCHrT00flIo7TU2N2p6SgcQDsBCS/OQ03N6Wj8xqYFhqt1q7wWAM0tC RDLRRLWZACNlFOKdLvnUlCZTwsCw6Mk5wXpzX5a4cBrOkgYPzulSz82YYIYr Z99gvagkswImJf5cyV3wttLT2HhuebV349fqfv4B7ewqxiyvMkNSl7+yPDID 0U04+pU9Rot6dvpDFgy4zZVlG42feTc68HFiZFRKfFJGjE9ixBtsRBglEowN gJHe4iKzRIR3xMQQclifvG563HBwsLe/v/O5ItH/Ng3pn261AqgAQE14gYqq bS5OF2Tejw1u76ruGWqJSyeY9B0qZQsulxqeivGBdYenyZH3Y0Ji0/GL8x+i oJcXLAAazU6bkOSClu5WjW5gbh6JZvm2E9TEmAGJs9V9nP4DRDzCAAA0uI31 ucODrdHxYW4BhSMCC9lsUzW0iGsaeQAL/fAKk85mBSakfPcCmyeixZPIj4MJ 3AKapJwRS8Qn0/LkQ43prHhpm+TkeF9SkftDYFwGP4/OK46lUdLzSP4YfGWD KI6RHUvFCYrT6ez4tAJiaW1eaQ17UCPT29UT82Nam/ImbL+MupwZychNzC+k NbYXS6pYGUI8W0BM4yUnpSWmc6jYdNLdcPSzOHwoHvcWQ6eyM//mnwR2pnHS H8fgn0Ri3iaS3sRnPA8jNMsaaxrzUnJILD5dUp4iKOJSMtMEReTqem6DtKCp VdSvMmPThLVNQseokSdJYfHxRsvQ+dl7p10FoBHopZusO1fZmp1jo3qwPTqi /8ZRyh+aZ22zqr3TOgbFxneq2pKYwUHkeF/ss8a+SrCnskNS2MT3rsy5RrRt nZV1Ur4avvjLWoHaduVQU0dnCYB5YamhPqjn4fQQABLyCqj5kO2IaIND7v/1 2+bODq+2rFMlj8ukTs7PwvvOM3jl//kkKpObHoMn/acPlppFKShNgU33NAGs nwKAzYciHK50VQCcxLQcAZGaQ80trQfj50ksLpRE803CYtKId0MTHkYRsvhZ 9S0FENMvHJoCJ7lAJ3NOjg2PGC7Od78WFAO8rZC3jIyYuRIaOS8uJt2/pi6f VUBOl5AjGe8iUv0QwY2wJMWkgY0bFg/GG4Cgqhv43Ir0QMrz6HT/lXX3xSei fO/geFAztDR/mVUNFLHatsafQlFWu3JnfaSmpSExLcfrtvPKy/7iF0MXCKEc yZOjP1yBhWkPD3ZW3S4A8+5GJoZT0hyugazC9MSshGRmOJqFjsuIS84mARGM zSVnF7E3vSN2p2pqbubi7PjWtSIAqaJd8pbgE5MRSOehkJ78UN8WdmXejIcH SCmM9jqBGdbWWdHeXMQvSo3LCpa2SFSqDqCGfHmC+ebWeq206HlyxCtM9LPk SDjK6yrQIjEc7ITyB5PCX6KjYGa84O9C3xLyUleWbBA7x5JNqeuKyyA+R8fU 93YeHt+icvrqpjTZ/vomVmexyNW9oqrq7qEKgIL6VHVwdTZHe3+ZYVjmWYRO DdbNPcW+eB9SfgJAUGpDm90x0K+qBwMPIMw+Zd2q24kwHV2FD9kAagILpzwF AKp5iPLIvLrsGFDX++IeAoy0vTbhGBmMyQgpaeQ1dom6B5vuBKPbB/q9Hvuq 21ZYWz1sVa+vQBwyE+NqQVHKp4WlEHQEe9xSUAzyi0SS2/sNSc6/qvFrmT2K xpERvXvRAkfL2HZ3PO6lD/7fuVkzQPLNPXUwsQbExfoaE+GHjfglPvwNLvw5 Coq6eZIYBvY8R0fdiwmOS8fubLv/7Nv6HRrydIbMeplycH17q32ww6hta+us uh8T1NNf36fpwDApFmNXT1+d0tijGe4D+58kRfgkhv0UGZBbwlm56kNopM2a lhbta94ZKBxxfjiYyMgQsRTaxvqeKuRU3+gWgOy2mCGuP+twv2W4X6tuuRWP ZNBBROhOiAb8YkjTxYWr09ZKC7SGvo6+9lXvQiQ27b+fYnyjaGEoyl98sDEE GltE/8kPF4IiFZRQGCzqwyBGTUtzroielIIprJO2dZa+TkA9ikaX1pe9waRk cKk+0ZggLAaTRoqnE3OFVLaIxJXQ8ysy61skzlFzY2tRV1/D7s4WIoOuex60 /f1dh8sgV7ZPTrsqG/mSBm5uMd2f/BSTHRlDJUaT8UkpuHthSUw+/Q2aWlxf 9QZF8IlM7OypGNTpU9kknoTSPdgtLuVxhADXUcGLiRR8LK9hFZSm8gpTu7or hMVpYJmacXT21dtdxpKqXCBScwVEuRrys0yMqqYmdEje341+Ax9bLOZ+k6EL wCebZeAPtqhcXLEUtivqQihJfrgX0n6Ik6q4WVDRUXgBSXCrqDx9cLBOdZvF qBVin1a3iquYGGZ0fHpknpCcySPkS1LVup6Tk2PERvTrp/5TpixkPHyaQXZ+ 1RUml/k56q0/OegHv7j7/nRyFiW/gCQpzxIVMzhCMktE4ZcweHACJlT3vIAK 7hogfJ6EFkrA/qdv9E8h6HthmDshaL9kvE8M9m4Y9k4o2h+NFUioUzNQTt+V nR90zk4EA0vipZ2fb5yfH31VgAQU03t8BKRwU3MhkMj5xaltzUVtXZVJzPBQ 2qub9g2o6BgclXTLK5QiwAAMAJBAeXvhxSckG7BB4WRybsbl0rgRthmYQSg2 NZtZWLjlhaj/winpPfLOTa8zkJD6IDr54HBvxT1yeLhzfYA/rCHYDPQJict5 kfwmOu0dkM7BVN9X2ID7MaFYFsafEPUoIeDvoX61HRU76+NzswaFVrl/dHLr IBeQ4uCOSnsHcCOnPL2qgQ/Z4hgf9Rs4eFgKFAx/5WiDwpPSJRRWIQVg1Ji0 AHJefH5RysioeUjRevQFwUjgsudmx7TaroZ6fhA5MZSSBODQoxsACWz7E+Ke JUHYKYqOeoWOyinMllRwhGV5nkWr1SEfG9OEUBKTWZnIAAbq2HWhya9tCB3I 7v5BKIV5cnoyqDO0DWgto1o//CNWWer21tK2d7y6jT+kk26ujiHyCKCmytb8 dDGurb8M7BwfVxfW50Sk+AWQn/cM1Tpcco2xDaLFW4SYJAHYdo0oxsdV3IpU AKjAnkU4q53IjYvLCBwdU66vjMgGK6pkkhXv3M7W4oZ3VFBVpbON7O+tLswN VzbXpYuKXWPmkRHVzJShoCwbqGNQwtpl7ATtmhYPzOQ0FimemoTJKbiKAPzz m9qqsLuUIy7t3AzkEgX40OMeX1ywfTCAzEFvGZWXfi8mCPEiPU4I98VCVsRH CeE3hgRASmGwgykwu0SgtQ9nlxY0D/Zc/HlxVr9v865MKxWNZlM3uzy/u7dm fsna3levh4odtK54Ryzm7mBSzC/xocGUpLf4OGl37fqq67Jm6JIdDDavx7m+ vkBi80xWZQiZEZeeJO0tZpdnwMf+RhwyF+9PT6cmrUCmj48Zr5xrrYjh6Ipb u0M11DQzbQOTrVLbnc1FScqzV7xLtVJBQEKapKadJ8n/n2doOJL5klvvcTAh IJ70t2fJVQ2S7sHB715g7vkTHgThH4Zi70Wg4ulkYhb5u0BUQgrNN5nyMgHj E417Epscl4LJ5NJITFJBcSoAIWk8dH4xo7KeB96RnHwswhiAII1rF3CVrGTQ 2NOmaKxtKRSVZghL0yn5yVkCnKAkLZVNyBDyewabqWxWKguDzaAR2IUFVUXf B8blidPOz476FdIMdrJc3tDbVy0qzRQUpV6rLdwCap6Q0thcUFXHAQhBVJxW UJLe3F4yMNTK4uPzRJTiyuz5+ZHNjQWwTE+ZTAYZ7FbruIUtoUevlE5O/HGG l/PLuu/Q2wRVgn5/Ojwy9jD2DsL71ypvAH0FNhxjZq6EOgABpOZPWYPAYjX1 CMsYVC66obOqslE0Mm65GXH0r99uXiVyzTv7O9GZMb4E39aB3sXl9bbuin55 9fHRwsbGpKQut1pWODmlBgOgTsrjF9Kp7ORsPhFJ4kNnxb7ABD1LDoMrC2Cv GeF+DsM8jcVFkfGRFMqCG7L0rqzNMUv50v6GH8LfSaSgww8EtWKFCSbJ/IJ+ Q67T7Z6XtZeph+VpfIy0saCjo4JRgA+ivoiCLEg37Bt0KBIJlR0GYNLNmJkQ +qtQ2msUKxIJ7fsYIMHJTesLc7NW+4h5CZ695yEyZLvGMOCLoo6NabfWXE2d zW29bdvrI1pjX3NPm3vZtbxoPzk5+KRf/4iGyIV2Rfe96Je+uNBXmBCggAMJ 8ktsCC6PHECOBep2EpOiMfY6XIqt9RmHU72+tXnrIKBjt3e3Cho4yayI7r56 VFZY6JW9COrJFF/EWYlmRuBZ0eEpsN+N7ovPjQG4NK+QSucmgc6PSn1TKhXU NEMhbRf/mN7t5pWbzXK5vKW1WRLHwAKMBIAQ5EFIuvSvPYwPCyIlvEBFvcHF RtNRcQyMZxEq7w4Uq1WPa2zCODFpYpXwxPVle3tQeLbHMz801La393UZbbf6 Yf/g8OZInFwY09vVxydHSn1rRiG+uacYgJnpKZ3X45qe1s9OG1aWHdNTeiD0 9zamdaaOxOwQTG6kSt9a1cp3jSpmpg1We79S1wxAkXNEPjWp1ZraocDaGeO6 Z6S9vyw+Mwh8AeyZnTWuLNkbuyTpRdTNnY3Tk0OgClzA4+nowFvbWpuQwV9c 8QqqapeW52TyAU5hNl9Cy4eUcaCwpF6VJk/NE5KyBEy1UTG//K9iYEFe27mF pRGXBsmmXFmGegB8XL4RTjYzZUzMIt2PCUYAkk9C+LOk8GfJ4S/Rn1LZX47w e9EBTxIjHJPjF/8+E++thlz23t6217u4sbGi07arVS12S5/VPqgckk6OqZy2 fqCSm4ydhwdzOl1HppAYTAorrhVnCDP9yUlwQRxIjxse7hq2dbX01iZn5t0J RvEqy3zRZAIHX9aWxypLv0CE3TfAkMj1r60tTU/ZzKZei7kHiEu7bdBm6Ydy miC/W+uQvN5mGUQwicE8qNDIJmdc4PU3DvfH4DF/e4YOTqa/iWF89xJ35yo7 /m8v8G9jST++Sk7nlgxqjf/1FAXli73G/eSL9wnHfReIDiXggSYO9PH74egf gtERJIKgiJKQFsXII+YKr+NAoCw2jogMwBJTRIzLCHLAVELXk/TJ6TFdgA4g PyNkR3KEkH8EKhrLSa6TFojLskoqmdX1nJGx4f39LVlPdVktTzXsXPYsxFIJ qbn46dmRvb3dqZkRu3Voe2vN7ZkHEAicCArTFdPAqYsrmE0tBQh9AbgMUUka 6BZxWUZpNWtAUTcxrgbPbmJc5XJBRY7ATIJ4qW6Gb11zOLscqrNvQ4f+JQ93 7+CwpEVsnxg+vzhf24QKS+3s7Yiqcyrr88AjBov+Jum0Bgzg5v6BGrOhq6gq m5wbU9NS4F2HmFiAGvtv+pJeXLvCtb0PE3zWttfW1he9XgdUEfJ85eJiwzWt Xd+ekA/Vgzn//GyNU8KIZ0SIihjQOIQp2fGs2McJEffCsB+YIq4WAJN+CknG 5dDSJWwCl/EISkqKQDzpmUV5Pgmhjb2fD+T+tF0GnC9MLCxMrnmXu7qqerqq C6pyQiDb0ZtblqIoxtvyana2iAD99co3FJbiF58RFJPmT+QmVHYUt8kbL25M rQhI65ArrbbBkTHTzLQJSSCanzWvrzqwzDyWRLLpdc5MG0fHoIpdY+NQdMrC nHF7688RRkhw14JnNYRCeRgX+jgxEonkeQxlB0c8Q0Feqp+jAgtrJWgW5QUq 3GhTHB9unZ19Jifi8PiQLsTqrMqSBq4/6SmCNhErXGx6AICaoN/AKw82EOwE FtDDKfnJvKKUUPpr8DUKN7GuvRjApJm5sYsv1ujBDTisKiKTQMmlATgEtOOH 8aHwIIEsSGE0lB8+DgAkal5qeQeU7L+xsXB0tH/T4FwvFZsgglaHztDf1lrS JBWrNV37MEz6vd5HcBxhPTuI8kJUk5XEDAUoSKmTAsxjc/QDtX1jdXR0dKhe VpAqRIWn+iUzwwBG6hgotzshqhAiN7ZBJh6DYJXe7hwAGGl5wYrUdsySEIdt vV63a2HePDUFcQ5TeQnxWSHX7KNX13++sbmGOBCPji//tH9w0D/UypHk8Iuy wSzd1l3F5KIb26tKqzkVddzLn/9rsAMBqLy/v+n1zk1OGMEL5V6ymsyKqUnD 3OwHUmXwTtnt6qzCrLvRgU9vcNeD8fwOH/ECFeFzw470JCkC4KiXmJh7MYF9 etXFvy06urhOWFhdAGJFA4QLVOPgQyKY2dgFc8K02iy9uztTELPQvJGUG98I xnl7eVw6UanrkA91LC85SmuEhTVZYfS4H4JQPwYnR9LpPjHoZCaKIUalF5Kv odG3SCdBDgje99kZy/iozm6Vb22uaNUtVsuge3l6dWV+bta5s71261fTs+P1 zbyMvOy/PcMC8PMkhHqzYMcPr/F33+IfBRHu+GJTc1MfwpU74JQx/M9+eKB3 /xKJCSPg74ZhrpPLREWpAJawhCRh0QcuIyQmRChJTcoIzi6lj826PKuLR0Dt 98zt7G03thYLilJZcGA2spGej4ZykcChCqiF5dl5QnLjVbrc+sYKsqFQt0kq sm9Ri4C/ikrSkcwmSVmWsIghLGbANiWkrAndbO5aWbbbbP1gToD4DRaQxEPT AlwNFmwAgIQQFV4jpcsqYKrWYXP30eFv1/t+r3Z8cpzKS65oFsr6qoWlqYPy eoO2Q6tp/cjkpW2Xy+ulbWKToXNoqHFgsK6/v1pr6B4d145OQPwGZ2enf/Z9 /JaGvDin70/jmQmphelafX+LrPDoyH1+tnJ+BqT/KtAS9vdnILx0vkYVEnHZ cWIYMOcKiDwxNZtHehSFgYZr+GV5yis7EvZBJO5BBPZVUsLdaP/7H1fuADL9 x/A3EmktfOqvQ8iHh/v7+zvDDm04HHSExB0hDjUgu4NpL9mFlPKavBDqqwg4 uw35E/haaj4qNiMggPw0jO47DpMbXBERIBbAo5aetkZZk9fjGBvTL11xmq0u 2zTGgfKmGg9MLgSm9+VFi3NEbXaYVpft+3uXdIu//4P51XZJXuFeKZF2hqcS HsQGwzlf114q0NWh7wiJr1AJ4OOdiNeSJshMestYhxxkd39X71BPzI1Gp/vf 7EZCXlx5HRfgT35JWpYAH0h5Ec14F5MegEQlZQiwcVDKG+TKRDHDo9LeFVUw Zy5Z07/0+g8O9uTylk5ZWV5hzkt0ZAQN9YaQ8BwVdS86MC6DEkRBv8TEbu1u 35rbz+HntbO7VVzFamwSl1WyahtFbW0lDQ2Cqir2yMjna1x+wSV99PHs/AxR fCo6JO+IT8R12WPjqtxS6hvCY7ogeWZab3MMsMto0ABL9aPxkwTVGZL6nDIp R2NsczgHZQOVMen+o2NKAI0WIA5ViBNmfs607hlp7ikua+ZsrI7NzUJl4DxL dr1ZFkh5TuAkwHVbPiPIbuyB8+/enx4cHh8cQiHKi8szWVy0xtB/fHK05J77 F6kSiLT9vfX5GcMiFK8O6RpQZTF5d2NrC1A6wEeE3wn0wPqKs0xafO8TgPQ8 GSJLvHa0gREOxnlSNnlsdqK+VzbvXv4Tc0h/r3Z4sGsd7h9SNJqHu7UQhzDE 4gvnMbUjyfJO+8D62igASAsLw2PjSrW62aSXWc193X2V6ez0QbUigpbNr8wO pcbcCydcVsELT36WgEvKTo5I9XVN6VoHZaXNXd/4Ps4BHNrd2ZibG9GopIhd 9/Y34EAP8N9iV2ZyyOEYOmQ18sV//xJ3i2LxB5hiCKyfBOPvvoE2EH6hx6H4 13DVjyexQLhAdwq2n8fhOAVQehFCv/NxbF4K0OXJOTF6u9pq03BFlKI6TgTj 7ezSVHtnJTMfK0Q0fTi7/4oK6dJnzRYSpe0lQCwi6h4SoAI+Xlf9QG4HbMtV HSweDpxaVMyoaeBBCeBiGmI+AuvSKhZSmOO6Dt0nhY0sADgBPGwdhqxw10Yk JIILPP3ZmeFv/Ox+rZ2dQ/MJmFsYPBSRGQkg0LCxW6e97VaDIL2hq6+/prG1 AGwAsAQAf2t70dbm+Mmpe2CozjCsuD7mV72zv7m0/e/YLqWtZ75P19ciqyiv zYXNR6tgfQ6WMw9QdM6g9abG0pXFxfFh81FTR1lJZXZRjeRVcupPoaincZhH 0TiEVgugozshyX99ExOEZ2QW8h4lhD1NjrzOTgLTIPj4KCFUbvzqahHImAQD NaOImpAemJwdFkr3BVIby44GkjqE/pqYG9PeVoLLjWaV0GPTAoDcScgOeUt6 ki0k5BVSwUZiVuj0/NjFJ49pb88LIL20q3l6yngzQwSAIveiFa5udjme4TKm Ru+65/ho/w9LMfiVVtnR/HNUwEtM2NMrgOSTEPEcHeKHh8gtH8SFxGZiNrc/ L3mvG7+W9Y74GCJBYlySINlHjAwBhsCK7u2qhsmm/Aic+Gs/JsLSiaCpQOrz NB6msDyrppbrchq+JAzp4qr/V6GShe1aiz6Nl5ZblJdRJEwR5d2L8i9orInL oj2KD7usyHaDmgDZ7pVLc/mEhgZhRTW7oCRN2iRuahIDjNTRWfmPSsl8bbt0 ImyuQvFdtFf8yjQ4YLu8VJqn0rd0DlYyi0jt/WX9qvqKlnwjnPU2PalT6pot 9j58Xky9rGByUgN23mQnAGCpvhMyKy0DvA0j8DWPS1ybDaB7u6IJQLJb9rdP IcD5J0mIUzMjE5P2r72vP6Ctr82ue6c8kFvNhEgHsM4VlY6P61bguoF2B8RN 4Vmy6Uy9Tz8O1EfijoJJkS/RcJx2ErT2SQgxWgb/mIv/AxryIFY8c9bhHjDB rqyM6TS3ar9CrhY46RtiX1xesIC1Wtli0nc4LJ0trbVEpuANhobNTXocF3/3 gxkfDTTTUEpoVNobhak+nI7+ORTT1KtwTEz/juLm4HB/Z28LjNej4w+5hAf7 O/t72xcfQ4jrhpizKhulz8OSfvIjfkkVM4SP8buX+B9f4e8G4X4OvywaC9Y+ 0VigmMfRiMJPMhf4hSl5InKOkJBfQK2o51mcuqLKHJ6YBhS9KMZb6UCtyabu lTcXVjARDrFPqrAxWHy8zWX48KT+weMDDSjsdc1i8KuRseHiSiZCyl1ew4YA kphaWJY5O22AB/8/rLoCpgIAohy2gVuMUuChg0c/OqL6E20vV5rsbu9A3cBg HbieWxcJPpr0ndL2wpYOCfhCXbNAD5tDB+QNFXXsk5MlMA0cHi32ymvlqs6T G+LyM2rgxWXZTcQ/8ofe5xe3tfWV6sb8Va/z4twLW41ggHS5Xn1/utrUJmZy sVpD/wX8joDb4JbX/NUvKoTEeBSFehSNfxiF+T4gIYzCxOYIZ5eWudXFfw14 /iw58gkkuKEJECreAW8EUdEj05Mml/3L39nLcmnDg+mFpJp2SSRcYQRsJ2SF BFNfxKYHAokJpDm/nm23qpvaitRWBZmbmC0mtbQW22xq67h5cv7aDQS7WXc3 wRt9fHzocY8CfdbmUOnNg1ABrCvyGQQjXSN/qBTvohVg/s1Nzzd7CF/UzuEX dO/gICkn7WF8wGtc2LUzAkoHTgpDvJkAiPriYubc8wgr3e2DIMFd3qUkZjhU PYTxLjrd/w3hUb++yzJqDCY/7+quAV0Xlx7AKCCgciAqgI/YkBhvg6kvKZwE ZgERmxMJIEp9Pd/r/Xwll8+2k5OjtTXP8cmxVtWeXyHmVJdtbngr68Xr21uB FHR0OuXoc9HXVqu6tCq3pCKnsVFUUZ0nLsmAAVIB+Chtkbx/j0Rj/hZZ8Om7 eXxyohweUFkGE7LDKLyEiQn1/uYMQDgO1+C6Z8Trdta0CyuauWZrzyRMMGu0 dAGEySlPAfOexd67/HHBhXkYJCwvAHRkRuK9Hc5Bdhl9bGxoYemfjai5Doa8 tfH+ykj7h+tiQOk+n5xy2B1Ku10NQNH6ir2xtSVPXLa8MLy6bOuXd09OGA+2 JqEstthLI/O1qRmM5xeo0EBi2C9xQMOKeIGKepYUqjBAKdv/1lENt9rp6cH+ 7gzQFY4PV/VamU7TegsjIWYloKSPuhSwPOpobKmqqC+raap4HkcEyumT+BiE qPzGgn2Li4xOe5ciTHyFinqRSL4fES1TQBL/n49HQnreOW4pqssdHnUkMlM3 d7YPDg+3dj/jDLqy0kMbyDg0O2Ye+OOfhsK+s09sR7etSQAXvSU8DYHJq/1w 965qogFo9CQWR2HREE/WJwuATLQUblKekFRSlasz9Ml6axFCSACcyMxopb5H bxzgl6QBxZn/yc8BtmELSc0dpfsHB3OLs+ubNwmBP2OEX1ianp2fMJjlQGXj imk1jfyaBj5AR+AayqpZo6OwNvSrxenmZ00I9rhZ1Q48cehxG7uPDr8h2+ev N+QGl5am5AAdQaU3rh3ByHVCY1WjbiHmRBVWZnZ1lxdUZVmsoLfLJ2d1BlPH /t4M0AAuLnb0pnZaZvTEtOMCEjfuS+fsDfz8WUR0eHysc1iXvN+KkPmrTNAI dYl3zc3Mxw8q6y4uNs+uXGyQr+3SlLQxPaOfmRv/8KvzM9fkDLO45g2aFoSn BmKwiWnZZS0961uXTCyWMRe9gPMsOQqAoueoqKdJEVh2ij8p4W5U0P3Y4O9C fQn5zK+6fRgV7M4sTaJYkRwxpaZFjGXHsEpTupQt+YW0IXmLxqoYm3K0t5WA eef48KC8guVenjk42Lu29lyJD0iAzs2NjDjlM1PGxQXryrJ1dFSrNw0i7HzT U4ZrKmMEIwHgNKTtdTjV01P6QZ3+z7X+ISMK4IcutYIhznySGPAc9ZECfhXU GvVT5GvVMEwR+bm5ETIdn57wapgAbcakB74h+OSWp23tbkYx/DsGGuZnRins OLoIm1OaEkR5cav+HUACcZnBtR3FYD+dm9TaXNRQL7DZNF97L2DSdlhVucW8 3MqSi7PT3p7ak5PjTpX8VlQ5uM69/Z3RCVtZBaumllvXwG9qLKiu5UrKMhGA BGOkAqtN41ld/K39+lHb2/Vsbcye7q8291UAgJSUHRabHtCvqt9YHfN6XOsr IxBH35RWqWvWm6G6aWBPVRsfdNSgplE2WAnmvZVl+wdzOgywF2AeCbDAFNmu 1r4StaF1ddl+sLdW2lqgtQ5dfEGg+8328Wv+wdSGbCi1XdKWoo2NFYWyfcUz D/pweXn2d+mcX2/IYBvU2B4GUpJo7HSOJCu/SFRa53Jp38Zldw8MOR2qIdXA gLKxewCA3VwkBgmgo1/iQuGI/QiA7d+RErHM5BBK4vdh794S4hMySUQe67NQ /9+1ne/Cc+zGxcX23s7MZ9OCrrhxZA7bgFrVMmyUYTKZ//0u/k5wMlJEFQpv CP8IIIH9DyKTw1PeRjJevEyOgb4WkdwmV7im7L/LrHUOQd9TTknKoK4ngkHx JyUXt9TjudlkPsvkstV3FFlchuOTIzBR3/rh6el7Qmbxz35EnyDCT58Ue/3Z 7/ae71/i778jxJCId/wgsPRTIPYufL93QjBvUbiC4lQ+VKCEDud1fgRyhEWM lLxEbmlaeZOAWUDOERCurEOpBcXp3AKqqCSdW57O/KSI26XTDSJiysSxRNQc mmvUUNdaswcVFf2MPEWk/MrqIgBjHBGlqDy7vbMcYSoDAElcmqFSSp2Owes6 dNfrm162qQktePTW4d5bhEgwCUDL0uKfnIywtrHSr2zxri6seRcBYNOoWjRw 5WijvrOzu2xQXk/jJHAk1EF5nWtCBZDD8fH82Znn6Gjh7L0bwIb37z3Hx0vj EyqAPLXGASwHn8xCTS9N37opIAV29vYk0tqllaXtvd0eZS+zOD8piyTtlh4d HZz9/v7036I+n52915kGpmaAjNs6P1s5PlrY3BwDLy94i8HNgvXa+sTG9tro tOP87L1c09GlgEhB55ZXcovLJ+fm9RbD1s72jaNBg2d3f9cPH/8kMYJXUxad Tjw5WW3okcZlkrrUnXRh7tgsXHL6K2mQt3Y36tuLTfp+2ZA0iPx8xbvktGlr qjnLyxBXoULRYrWpwcb29vr8/Edw7tNOdjlV01M6MFDHx41ydd+wbQiq8A6V sTBqDINg9HrdtmUogMS86rYrtX388rJNr0tnVh0d/6tEnVXJil5hniN+zJsL EtQam0leXJkfHjV+doBdhTPNJudEBFNfkvITATrSDys4RSkXsJizTwzXdZeH 030j4doiKGZYdJr/NUVSXGYQOjcqhPYK7CmtyGlpkfT21h0ffwWDH2wQgFqr vK+4pQF8bGsvPTzcv/UdsAboXVScBpbaOp5UKm5oEEKIqEnU0ChE0BGy1NXx 6ur5Q2rZxqb3H5zzw4FvfV5a8bjd4wcHu+B69PaxOAbT5hjKr6AyhCnYXJq0 RyLXNCVmhzR0FmqMbaVNbAovAXRaIOV5XYcIoGigKhLyYjjlKSVNbLDMzhg0 hrYPwQbT+pHRIQCiAMRq6yuFqbaVKkML4n6anTXGZwbFZgYfHR/CzonfOBss u2fnFiAa7d3dLZWmC0iKlmaJ3amvruE6XUadvler7f7svf++DXmjp+aWHwZS w3H5996R/8+9ON/ozJYuZUBizrBjymrXrC47uOWce9FvfHExj2H751t8GCoL 5YuL+zkyIJlFt9gH+vprOrqqCdx0f2KCzaXV2S3//0FHoJ0fX5wDDfTg4uL4 9GQBMRp8FiMZdB0mYxciNCOpaTRObhQt41Uy+WeoFsZncmTA4ocNf4cP+yUS BQDSwyhCdCojMoV6dd5/6qoRVGC0qVgSSn5F7s8RrwFwJeYzwYQTm0Vj8NC1 zSKloae8WbTsnl7zLoAXeH3TO788A37FLmz6vw8T7r657WL77iX+SSjhYSAB gKKbNiWAo17G434KxNwJwD6KwvpEQzf7cyjmZQKGkBMTkxZKYqH4hdSbpqQ8 Ebm6UZhflELhJIrKs7KFBHYBGQmZ5oqpWXwcwEXCKqaoEnKx8SWXFEYf0JEY 4Cs6NpvgE43GZ2WgmfwIapZ33dMqK781syGQCUDBirp8LsSfzFBqZJLybA5M icMpoPb1Vff11SiUjSvLDrgcNhAl1utQbQQpIfQXczOm6UnDDRMNYkfqUA81 uZf/hcoOGnQysNitiq7eKodDXdvENRl7epWt+aWM/T2gea1fQIaUVTgmZxWO 1VkHkAnZrqhjt3VVzy3PJTATX+F8u7UQTQdiqVjf3kLnpqNYaZnFwqGh5q6+ JkkVT62SQgVkFQ1O51cr3f+o3ezE9XXP/NzI6sq8y6H2fAFpOfLXiSlnv6IW vq8ts6XLNSqfmjPt7gIYs3125j45XWsfqK1oEXvdM4XlaQrV58u2Xhv5gb5y dHwUnorBc7JTxbyqjirwetnGxybmJ36X+23vq5UNNKyvecrKmWo1lBY3OemQ ySre3w5E+UizBn9dcU8rTX3NA7VbG25aXl40PTspi4DNoRdUV62t2MFw9Xrs PYru6jbZkLZ3fFwHVYSchXayiop1VuvRvvur1Pxv1BDDtaSJ8wL98nFi1KcA 6V50AEOcJahjFzcLLz7r+UWwh3epvJ7nnLTuw+bcmRkwbBYvLvPf97C5McGU F8G0V2hmOIkdB7BQEPUFjZNIYMcCbBCe4hue6pchwo+4jGtrnt+sooIfIjHG Xu8yeEDvP2XuAtips7K6hgPQ0U1EdGtplhY2NxcWFadr9L0XN6wxNxXATze2 dvePT94HAP22rtzrcUxPWxaXJt9i02lcwZCuMZD8gl+T26tsUOlb9GZZGN2X yIml8BLzyuiVLbymLsmax+VetDpcgwA0KrRNLb0lU5PaTAlBWJ0BENH0tN69 aAOYanxc5fU4U4So9v5yi71/dEwJeXIXhsEXwELKT8iS4I12c05xLVDSQQ+c nH4pCEduZH1jtb5eUN8oNJnlre0l4uK06tr8Jqm4UQqZ2oTFjKrqPKVKBj+j P2L0QlPfJuR5GZ9eDEHn/T8P4nuHLHv7hyen72fnZ4wmhay/9SUm6n5sKDxi I5+jQqXtIlGV4ElCmMHcAx4ElOqu65gYV+cU562tIdGDf8CF//Ht/PRk2aC/ HYP0kbi8Wiv1g+7VUVF9xtP42Lth2JvZMR/ZkSBTEvY6NulOSPLPYegh4/B7 +PH/xquEfdDnED3I5snpCUtCxWWFoLOikzJis4uYOGZ8VkFWphCbLcQ2dRTj mZGpnISe3kqTqa+9q5zIiq6U5mfziv76GA1Q0A9XTrRrLPTzG7xvNBHa4/sh DOnvL/CJZEogDvddEJrCpGRwKPegnCDs3XDs/ai418kJb7HUwko2VHkNDigS wfSM4tKMoqrsbB5GAFmNUq5KZUEAKZuPS8tHUdhxpNxYgKxYAmoaBypoyP3Y W5eQHvkWF/VTKPq/3sQGk3KqGgtlvTUXH0+hyEukUMuqGwUlVbl6s9ztmc/h 4eqaBAAg1TbyjbqOovIsi6V31e0AWMhg7GiVFQG8NDqiXFq0uJfsSwvDczP6 pQWrd3ViZspgNvZcUUi1Q8wPSqnDLj89PfxdRtg/2ZCgsulJq80qn5u2ldfn 6Yy9dU08s6lHOzxY2160tbX0/nTp/HwVdjZBRpX3771mm3FAPQTlxV+sn5+t gBkSHEpl0TxBPX6U+LhdDilrYEQdn5w29Xe/QEXFZlDKGkv1mtZBeRNCD6VV t0xODP+O+HBxYWLEpZ2atGrUrQODDWANMBgCkL6knZ6emK2Duzvje3uzJVU5 ClVjV0+FRtdqdg60dBWr1M3UvHirU6vXd1Y3cGw2xdiUbXHh0gb4GTpK6HU6 Y5WJ1RaTc2pie2cGIG7kT0idjt9244iw29hYkXWUnxwfWSyqlhbwgCACYYdD vwSb765937d+B1YV7ZLe/uq27jJf3MNuZUNpQ+3ThEAMKySY+qqrt9Y1YloC ws6hHBnRFNZUPE8gktj5ax47FDSybNWbBp2TUGf+8YWubrVLbLOxgstLAJLF J/GSRuZjFxvYE/Q06Q23KgOJkftshx8c7O3tbN087MWVl4Rfm/M0+U4KD03l JpZU5mQJ8S8w9xgFBFlvbWTKG1ROZHSa/zvi4xQh9uSblVa8ihXc6+qqbmoU NTV9HiA1NorA0tAgaG0trqzOGxuzfPZ+r/ccHkLx5CenkA5Y1NCgNOhb+3oJ uTwLZEWEytiNj+sVmp7N1VGztTuniGhz9A2oG+Vaqc7UMTdjBJhn1e1cXxkF yNlk6d5cHRtUN2SI8QvzwwAUGYY7A8jPOeUpUB23EXlrb6moNnPLOz6gbiDn J4xPqJu6izxL9nXPCOy9ta8uOycmNGsrtsLaiuau5oODXSqvxOgcvfiyijbI XG13GUrKma0tRTW13IYGYQ1saqut5wPUVFSWVVaZW1/PV19akP7odnS829rT P7e4fPXxxG7Xzs2Ya1rErzHhLzExP0f5d6rblxaHFYONsemEnt7atRWnzdKn GoIUSYu5e2nRDCbeq8d3Bptf/lWsuP9Mg2ZO6N/62KjylpdNr2u/GZdiMffo 1K19ymoSLy6E9hIApJ/DcD9/jmXlfgT6QSQKYKcHEdj7YA9MVQfA0ncB8cJa SKv9DZPXzZlBWJU9Mesy2JRJjAAANog5keisBHJunHywprmtEJsVxpFQUrmJ ABQx8pNyxSStupUlJqEzAp+EJjwJxfrFEn7yJUBJ/W8+YKHvXuBfRZJ8ggjf 3TAi/fczwpsYUgqb+n0QKhSPrapjhRKIfw9Ivgd5FQmhBMobFLZ1QLm7u2Fx 6Fg8HFtArG7g5fBphCxSDp+eI6DlfxJiBJM3lhZVsfJEFGwGKTOfis2E6tsK IH4/OpySlsovIsWkhoOzADD2FMqVS1nbcHf11XtWFi5uaFsLS9MAGrV1V9U0 FYA9a+srHV0VbR3FhWWZ4JE1tRRwRJTegWqnU+5wDHBhvmW2gKTRtq6tuPRG 2fzC6Lp3dntreXHesre3Nj/rUsrrIVSgalEONc3OOo6P/7QApM82oLru7m7O TDtm5kbcy5NFFRkqTdv2zobbu7SxuT41o4X9xatqa9fm9tTFxfHYpP2XABpb XL3oca6uOfpVDQOa4afhVF9MuD8G+18vIjqHIF+Pc2KkWtbU2FHTLqsQVfIG BhoNV0BRo2z+naouwmlB66tDCqlGKQXgE4xJJUx3qVJDVV2ACNzf33n//tek 2GXUrmfOOWoAv1XIG9VKiKLBpJOJKzNb2gvrm4WJaYHt3aUtHRLwhR55Y2V9 3uy0fX1t+cuu//g64fOfulXE0ba1hmAh8MKenPzv0hn51dSMg5gbReElKYaa qPmJr/GPatsLUgVJiOcohZ/YJCtzjih12rbGNmkEjRaXgb0Tgu4b6lxetAKh ueaxnR4hbsQ/X5VF3tP86pJ70UFPkiAX23N0yLPkMLB9Hez6NCkqgBzoh78v UzZf/Oowg2bpK1SJoCO1dSiC9rq1r8Y0PASwR1dn1di0o0PZvL61xq3KJvOT 17e8Rpe2oIFDyk+iCtAAI/0OEQ7/ANLs7W0DGFxXzwdCHyyNEFIqkDZdbiNI oKySNTDQtLu7NTs/AVfN/tBLK6tLnpXL2KTpuenq5uqKuvzugWZuscAwPORe tEyMaze9TrNV3S3vXHXb56DSGJZVtw2ofl6Pi1VCH9I1A4QzMaGGWdYhwAyg 0TIcemS19yl1zWZbj94sg5Ic3a78SkZidsjEpGZ+zrSy7OBVpcVlBHoWbekF WEF1xpBeqjG2gZ+09ZUvLlhq2kTiOma/qmly0sAp5e9vz+cU1/zdP9699hVF QxBzYr+8ubIyt6VFgnQOtIa7C3FEAoCkVMlGRs03Xc/friE9v3+wOwtZjN/D dul9k3VobAJKu9vcWKSzRDUtvcueCZ2pR6bo9HgBIFyfHFUJKwWlDZLJUeXy khUqYaBpMxk6TcbO9bURMBBgvWvn4nz5/OzPZ4n5/dr23LTumol6ZkpngOJS ehC/G1iDHhhU1EvKsmJS/KNT3hFzY0Jovq/QET6xSQARPYhAfUy0gn4cmwwm rh+CUD+HYe6GoV4lR71CxT9PCgkhZR3Ds+VveFM3trePYGKuIX0PvzyjpLkm MS2Ywo4lMCOzRcRWWUlxNVOvaU/no6jsOFpeHFiTWNG47PB2WUmrrAjPjKDk xhGY0RlgvsWn/uUx9l0c+VUEEUCjn2Cyo/vvCLGk3B9fE37yw3//CoJPjwJR cL02al6J5Hkcun+opU8hCyNgHseS/+NVZGVre02TaMlzibqNlqHu/oa2zsrE 9JwIIo7OotJyaJ9EKNEARhKXZQIUFEXBohikpFRCQlpsSUVqSi7FH4P3S8ZR WdQMDu0dGoBPAMNw90LjNUaFxa4ug8uPXlwFnx8eHVQ3Crr6GgBG8q7BpIin Jxp1Kzh+f3+tVt0CESIV0vKEZICXSqtyIDecJIUnpoOPiqGG+mYxovscHe2u eafBMaenrE7HkM0qX5gfdbtn/kXcav+onZ29r22XWFx65KNC3cEtoAwqGw8O F7JKU1GcuIbOJmlPW1NvTVBCzl1/TCQ97mFozI+vcX97hv3Jj/CzHzmSlNMi bwXSZnh4QNpaVNlYCLFYmLrgxASIThx05pCi0eFQ/y5dAQ5BFbBrpEUWY5f2 RqLo4GAjRH2p7VGr23c/Jpb59LwHh/tAsiyvLlY2cLp7KxGvt1IprWrkgpc0 V0xmivDgmgcGarWadrmi0WTomp6yAb3mYP9/4ej7ZrGVXxG/BJqojk3mxIWl +JI4caX1uQGU51hWpKgyM5T+OhIqw/oyNt0fw4okc2O4Jey/B8Ti81DM4qrE DJbW2F9UV2O1KXZ3Vr7qvN+oISDTPjHmkxB2PyboWXJkKD0olP7uYXyYT7zf a+zbJ0lRYOediHfR6Yl5FZlt8oZfueaPTcdIoNdmQlZojbQAvAldXVXl5czx cSvyhcOjwzQx0e39EAs9NuuSG3u/9Ru9vb3R398ApHx1DaexSdQsFVdW51XV cKpruTW1vJo6XnEF0+NZ+Oyt2Ry6XD5B1lu3tb1RVMnO4mLyxdRcASFPSBSX ZsxOG1bdjtkZk3vJsnyVlgslnc1bJia0Zc15FvsAwvQ4OanpUlTNTOs9y3YA k2yO/ooWbhIzFJMbYbR0TU/rvW7n9JQOgO06mWhjZXQJDuSOSQ+o6xABBAVw eBIzrLi5SFjHyi2ltvZW1HYI/AlhDZ1l4+MQNhvS9CwsTtwNx/nEEJdX1y6+ BiCBNbi7/kEpHKD1eTtbbR2/vCIH8Ud/6+eFHH9jYxXIo63tzfMzMLesqHRN lfU8sL+rv65X3rS1A80bp0duICjAd8/OPOveEdtw7+ioWjUknZnWIQgBQQ5G Q+fpyQKMkbahTNt/2waXp7ycEVc31p2T45ub0/wqgdXap1W1gJtdcdt1mnaX a8hpHxx1KRy2gVWPc9jWncMjCIoZFXXsNC4KDKrEzIBIWtT9cIJPbPyDyGSA ix5GoQEi8olFvYhPfpFIorNTQ3D4pwmE+KyIdAneD+8TQadv7yLVBL7ukqs7 W/3wCdHpZJPTcnJylMZHR9ATUJlxFHY0QD6ZfExzeyGDm9zTV1XVwMVkhpJz YwA6Amvw15wCQn4xDWzAeyLxWZinoZTvX2EfBpKj8bQfXuG+f4m944v/n2fo eArndVTa358n//iaGE9m9Aw0FJSJCss5/Yrm2YWpwvLs9c2Vyjq2tKs1p7iW LREcHe28v6GXgQ2Fpis1LyWJQU5IRVNz0XkiysepalCOG1/CqG7IZxbwYmnU cCL+eTyakEV+EQ858u6FoZ/EYhGeJYA5fwxGJTNoGl0nvyh92TNncxo2t9eR edRsUze1FYPBPAxnpsAayolpWD6kltmGB2SdZflQTa5Ls5WoOO2qninEAMAW EFtk5c5R08LirRr3UNbMRyPlX6khQmfB7XFOTCMfESZDgBkERQzQz5l8VAQN m5VfTWBl/N+nwf/vw5jXicn8qpwXkZj/eY4G0PdHmPkTAKS/+CTR2ZXIb11O tVHXoYVq67Rch+EZoBj1NrlC6nJo/vmKQsgIUVmHU3npdnP3x7FesJ1WDVnt PJ455OsffniV+7m9t6XUdjW1lZQ3CKqbC+s7y5LTgtpkxVZjT1NrQWd3OZip BgZrNXBRwktXKRxIhjhM9/e2fltu9T93019xOoSHuam/xp/4JCk7LJj2qqiG iWfHgA1iXiyQXAgFUETq24SsEJjwxy+KER9MfbfsnVMPuxwTk+J6WW2H7AwM 4fd/firNpZ9xeyuYhklipjFLWSG0Zy/RL4OpuEFjP4pF+CHs7d1of7qIE0zD VcnaLr6C5hqet9eWBSWMzU3v5taa2ayYnHScwhMRUrLnOswMcVt+0zu9eVUH B/s9PXVTUw69ob++jgcUalERo62jrK+/USimD2khTrxbfIlQL216F5ZnxeU5 LB6+sJwphCerqwWivS2qyJkY13nddoTDEAme9CzZPEtWnXEwNi25sC5nfg7J zbcBIMQpT7HYe+3OgbjMoISsYFFNlmG4c8s7Dr4zNq7iV6WlFWDdi7b5ORPA UUO6ZgC/EapJigBF4CQR81JDaa8ttt7ttYluRW1Ld9OaZ3R12T6o6l5122rb moIIDF5FRTApa3tvDwn7+LIugp7v0vJsHexcQxDRrZAtxKDU2lq8tfUV6Ou3 NeTgan1vTj62sa34+Phgb2+uuJLJ4uMXlibHJh3ltUw4T/YQNi5tgAe1vjYy 4lTYrf0WU8+wqds63GsyyPRaiFgYIaAbH1VfnK+C73tXXCtfHDnwL9Wu+xzm 7Lro0SqTc+iiatE7UqJrVKVRtQAc6Fm2yeVNopoCm6V/a3N8ZweI0Y2Dg6WK urzCsgydsT0tLzk+PYjAigghR90LIzyNT3wUnfQgEu0TA1XGTE5D+aPRDB5v a2NWUFH8FkdmiLGCOjaFj9r4hN3619sZTKrQp2oJo4T/Ehf6IDY4hBRgsCn6 1W3RtEBMdgwFgkCR7EKKqDwtMS2gvI7d2CrGZoUhAOl6oXPiCTmR2UI8OTcq hhSfTKU98Cc8DcUx2AVv4yg+wan33hG/f4m/9wbHK6lLy2P/7Vl8Apni9c6B YbN/sFNey131LnX11w8q2yemnGU1ue9PD5F8BKQdHx+NjptFJVmvk3CPo9GP YjCYzIT0fNynVABQqayiVLAG6lK1tOhRVNKTWBxS/QEum3VthYMw0utEXFE5 A52KiqDmOEctZTV5h0cHyLR3dHy4vbMBQM5NmwNok+Mmu11VUs3mFlA5BdSO rnK5vKGoIhupSAJ2VtZyRCXpkgpmNhc9MNR68bmZ+c+VL7fu6MYfzhY9K7nF ZUmZ+RmFFWYHRA5ssWvbe2pFJQwKE/cyCvsiKfB+aORdP+pPfsS7bwl/e4a/ 8y7mZXwMQEcQt9WN7MU7voTRKUifnZ1xqoaabvmXlcpmrRrCS+7lDzEzX3Gp n3wP/D85fV/VVlNSI+gfaLgue3eTuwDMMBswdzoi47yb3kZZhVRWUdIkFkIU 60S2iMIuoOYVUMgcNCM/CWAq8KuOzlLtVTLFJ1RmUFm9sVHD/3qBf3pDunFm eQrh8AmhvSJz4jgldLCB1GO9yfATlfYujO7rmDSZXNo5OP/ixjE+9+EPvAUY kXw4tXV8ZO/gQFTPRrMic8qyZxahIZdRJKySNQ8N6wFaKGltsIy5YGzzFbaI 8XGrxTz0v37tevvs28f9nl/F2IP1xIStpoZbLxU3SAs6ZBVTU866BsHcwuTN C7u0YGyulVazgIIjLmfzJXQ4mJN2NVXS80TUqnpuZ29dtrjQbFW4lyDSkuUF y9SkQa3vdy9aNlZGa9pK88rSPDAd7hxcPc1k6aLzk3NLabUdwqlJLUBKrX0l /Kp0Ci+BnB8PIFO/qn7N4wJAa2N1dHJSk1NC6VXWhtFf9+u7Zudswup0YU3a 3sbE/KxpddnpXoRYJpS6AbV+wOuxO13qlWVbdUv9/3kRkSosu/jigDdEQzGa FdXVnObmQiQuq6Y2/5YRSSotrK7OGx4euvhDAJLG0J8nIOXyCTpDB0C4Hd0S Vj6uvkUEZFplHc/u7AdLdSN3dk5/dLQA0BFQxABIANBodtroXrINmwcHB5us pssML7WyZXtr/vTUY7X3qoaAdqk6PNj71jfyu7eT01Pn1KWXE8zY/sT4l+jo ezFBTEmuzdRl1Hfsb09299ZimFSbuffkeAlKBTrfBlqs2+OYmjFpDa1ldezK Nh6eFeaPj/o5DP8OTXyekOhPCHmZiPoxGEVh4V/ExnNLoXoZ3WpDGIXCrUrf 2F4/Ovm6DFOwnpofK5cKWRIqMSfKnxj7IC7cDxdOZkWl8TGQ+4wZBdYA+eQU ENL5aDwzAqwLKtLJrI/QEfgthR2Lyw7nlaRWNbEDEikoKiYwgfI8LLlP3ljR UPs0NCUomf3dC8x/PEyi5Qh2dxaKa9vuv0uSqzuQiwFqGoBA2zubzhEj+OgY Me1ekVKewQyrK163uDw3h09O51CiyMQHkZg8YYq4JPVWkhpYOAUUtpBU3yI5 OTmuaKr1S0rK4tEe3OCSehj1gTDhaRwWk0H6JRITSkqXlGco1J1H/zBLF+qu tf+PvPdwSyRb18X/pt9zn9+595599p49oXO2gzlHRFRQcg5mxQAoZswZc84B yQoYUEyoCObU5sRdVaW23dMz0zPTs3efe9dTwwDSVavWWvWt90vvt7GiH+1t 66qEw43oTe1lNuucQtZQWpmGpP8XlScDvFRdmzExLl9emdv+6/WU39Vu4yvs HwtS0I5OToc1CjST5UNh+9OjH/jh3Ii83MpyQSadn04V5/FiRWSHoIhHbjRv Mua5P+6+M+2a8NMFQF8aHJNPA8ctC+h3b/BjUwvg/MZJJZzBdw2QFDCu6O6p Gh3tkw1KFxbG7V8wRF8whIhnZL+tFyhcdY1tZTJZg+pjUxLAaTPTUDkGZBBa uqvj0wjCbFZyBk0IRalFCSGUy03JYvqxvKMziIMDtXeIoX45w0LRYprSTEyP rKwtwf34Vqb7k7a/t7WyPJ1WHO3LcgyB89ZDY3yQkhkIQfQtQAKoKTTacxkm lrTf2aFOz06bBnq6lbKd/evHE/n+r1nhVz+HzbeETsfHe+/fr4P/kF4VN+Vs QpxmMIS4vDj+Pbn2n23n5+d3OQY/ucGrz8Xk/8sakvLW2VlpNGrX1iwdMHXS r9jHCqqLo1Io4mtReadmE1ykgJ/BUSibZue0Na315oXrSnzgtbO/raOvdWfD qNF1NnYVgi+1+g6rZXx/d2XKNMwQhoNVFJtDISQHY2J9sAkBBH5g12D51NRQ v7x2VN9lWRyZmRkeVNYX1Quis8lgUfkw30nqM89O3k8aexo66sQlxQi9tmUR KsbR0tMMrm5Zgnx8AC+lFxeKCgvCY9Jml64zCr9wcHr66qqq0mvrcurrckvK 07ILYm9ZEcCb+vo8AJAaGvIWFz9DKf91G7xqwM61zBVGkBPR8ZnE9Y0pSVU+ N5nKF1P6ldKq5qyyasGQoo4voiWKWEp1w7iha0TdqoSCjtrBFOxvTza1N78N YBVXFOu0rVoVRKU4pu/Pr+QT4wPS8tjDsgbzwvjlHan+jbfzi/O5JXNaqQQT y5qYm+4cagrmEV5iAx0JIc/CAsJjSQJJrHqks0/Rioujs4Ux4/pu+9WaeWVs Z9d6dmJBHvCegbK+ocatzdnkTFI4l/yjD96bxHKKwGJi3FwiCA8DiNT4iJiM DJPZAiYAaM0Ts2M50ptSfV/OqQJf6/DofWI2LaMkgZkSEhEX7kZGuRCDcTFo RnIwDI1CAPihw640ThoWwUIACH2ARskYAI3ixCToZ3wMOzVc2pDV1qeSlBdH JTP8I6lG08ju3lasIEHa0vuTMwXHSnNEcWzrcMbN9Pzxx1z6H7r2uXvBxYp8 aXFBrBjnCMgi5IQle5Oo8SL27YMPkUCKaR290uWV+YMDiNqoqi4nM4/tTWbi 4/kBNMYDf6I/heqAgWxHT4NJTwJJD72gGNT7/iQWnxFOZ5J47P33G4tL0yXV pTt7B5+sOiCWjBPywaGmFDFdlMPOLog7OHxvWTZplK2GMUVFtai9vbi/r3p9 dXFjbVGtbP3olj6Xdv2vbjd9KGmu05ugQEGA5G81a7DBe1O4bpG0pyiiC478 OpT6ky/BKTxSBBNPgeHNzI+KSye9QmMeutKeelLuu3xKbPXEB//Igwww0g+O 5KeejGCKEEURHByeHLzfHobjpRGwoYZqNzdOTCgPD/YA4HwP1WD6DP5BNuVp 83xWdYlOPzhukJ2f/WIi0vX9wa9Go7qutYwlilMgjrw7ZBpDA9K5OQPy4/fv d3OLEzJgSitxftTtxgFuk5Ec4Uh2dSK7FFWLRuHKiT/nwL9lwgd3pFW1jajb Wtsk15XpvoEU+E8aMmhm86RSVl8kFfrCtIcwF7dbZGIgOABMAhgJICUAnAK5 rixRZEN3BZDSYJSQf7vzfru+twoAj+Ao+t+935W3NSJk+x8xgv4MR/z5nsP6 EQRUzs4v9ZMTO5uzW7v7q+u23Y2JmuZqvqTK/vHiue0PQv559bX6gZwH2fMu P7rlu3/6Stf57W6AV6t1YX3d8pHK87MbBWNX39WZmM5mJjHTsrifEOcKcyAL Ulo2b8KoXlzUWS26RfMHGrd1q0Ez2t/a0zyqH9rfmmntLfFjOZKS0ZPz44fH h4MjvTQh1pvxNrkoekDbFRLtlySJU+k66jslypG2RbMGoCnwvrxZXNWSRUnD YGK8mwekJ6fHZ2dHlkXdSzQ5KiNnY/W6MNkSFPI9ghCkQPX+JofVI33N3U0Q VXI4w2D6UrowyBvSXV0Nh7JLpZlZ+TGlFQI4PFtcVZ1RUyOWFCUKxQylptf+ xS7XP9aQk7cNDYZHx3AEkcFRrv4sX1Yq/yWG8S6ciI31o/LR2Dg/QQ6nXCrg pJKeeRF9cLyo5MzKmjKVqn1lUVVZUyGT942PyV/7c/7xhsSIFXR3V1bWZcSL SexUbGw6Mbc0cXtn/fTLqtv82xs8fVfVXa2PQ7x/8HeBa88FvQz3fx4WgKRU vMKh3MngCPRhEcGffgryjBHHd/WUVraXhcTSY7P5S4ujFxdXp2fH7T0Fck3f im1WkAUx/NR11BbUFHhSPcJivT2JxIf+eGmbBI6K/9AQ5pPfpbrCG+Pl2qYN jLagMDohi0ZJDCEnhmG4wV7UYHYqBH5uURDyhpoUDIDQXecaMzmUkhQsknD5 2eCfo9gp4fwMalFlavdQQ35JUm5R7LwZStVcsc2dnh7SEwollU1JWdKy+r6f a2R2+3UFAfuNNxn5fmxS1Sdrb+5uq2qWSqqKE7NFb8MocGg66b4/0SWCjNRr g2IOs5jltdl39b6e/prIaG5YtCi/Ive+X6Q3iQYAEkBHACM9QZEeelIeuFC/ dyYH0KiMONY/31K9sVSZojk1K/m+C2FuEfLFbGzunJxcB0GtLJv6B6RFlYKe gQZBNmt6xnBxfqZStIBNZHlxakzXPz2l2t+HsN/Wls2g77ffWH1v7xJKz/z4 lv9lDdorro5XNxdGpibD4lmRfPbhDYk35Gza2vGhxjwOIkAcC0FQqZfnAECi KA5heB+mV2hMEF/M4KYRPZnuTpEB95zpn6Cjh27kh+7kh14RjnhfFIvoHBz7 X68iIrjiYc0kHK9yMTEmGx6CvGwKWQMASz09Vbdlgn+pIaFBRU31UULeiKpl eKhuadGIcFX9ytAdnZzQRUkxeWJcHK2vT9rQWgqDGSgMSTZQM6YfAGdAAqvA yuSnUwAuKqoQINa/WxdtWjYbHx9KSMQODdX39VUNy+rv+gehUw3VQeZuGbiR CsVwI5Ba0sZsnb7/4vz027EW3m1Ir8Cy1Kk7kvNZfmxnBCAFcFyZQpykKtkf ZjsMi/MFSCmA48IQhB8e7G5vrx4dXS8SsLVFZVOFZclh8dznYX5ejMiIxODx GaiY4OnZ2f7hwd1r/fkhODra3d2xgmPVOnl8tHMF0fsbhxQdO5szSfmlSk3P 3qaxuauxsWfg+OQUKuN150H7yPll/2qmnrsnOT07bB2qnVtGLGyXf12O/59p cNjkZTA31Y9MFOVGATn5AR3l8bLyealZXA8CuamrZWdjSqsbWJjXIBAFri0L JantbRknjXJhUU7fcMvU9CBVgOUXRZkWjcj5z85P5y2z0wuTqzZjWgGfmsbN qkoagaxMenAG84LaZjFsrRm3Vo36KeXm7sY1ILm6sq2vFtR3WCwm2FqlW7mO ehpFgsNX4DL3W6vj3YPtrzDU/3ILqWrvtX9xnQiDQV5eIayVZtU3SoAOC9BR abkgryihoCixsjpdpuyoachDwkr/UkUG4bpcss48CyYAfRPiaaf6OOPo/jTO A39yEDMMH4/CJwZExvsmZ9F9mY4l0qyquiYOP2t0dKi0unpY0WM0KtIlWW09 JZmFQjcM46EblRyPpfODCbGBUaIIubxuaU6LXGti1gQUSfu35Kr4pfb+8FBv MmZLK15hA9/AZGW3CacAIAHg4UFBP4MgE8ycSQsjJoQ/DfF+ER7wLMw/LJas 0A6RYyQ1TflTMwbz0nRCGiG/JMFu39XqWgJZzrgEn8gYwnM05fAIjqP4Mpf6 LzVkMI1zY8T4AJ4wMqM4jp6EJieGUxIxAMgR4kNYKdcoiJ0aBkARgEYABUWL 8DQ++q6LDXzPE+DySxMhi1MSOi2bJcxmpYjpydnc3AphT3/97axZ17Zsa9tH x6f7cBg5eHjBq0rbZxhX2n9hcgHaKakA10Y/8A2754u974d7GoR/ApNJPkOR XgSTfCmMjHyg+7NDo1AeRADsEhU6PaR1Im6jo/1elaG5p8UtkvICTabFM6A6 JhiyRzjtsS8Z7PKP3amuWKo3Hkqp+8mZ+tyb5oSiPHKjBOC5R0ebpvkVLywf dBjp3qp1fmJSZTTp1zas3f0QncLE2NCiGQpvGNV2I3lMyC/B5rK1ZUVK18Ez dbm3azs4ME9PDe9sr93+8l/cruyXPcp2hiiFm5X6vZ9Lfn1ly1Dvxs6WeWXV JZIDlLW7bO3wK/llKPYdPuB1pI8nwyM8KtSL5u9Gc3+FDrn1pt1WjXnmQ3FC cX5yjXAl+zDTOfWdA8TovEBimm0dqvl+dHSo1XQDLDGi7V5dXVxanjs8uC0h +pl5R/Tx3ff74tJMlaLphjSpUaFoWbH8IssiEgpiWbP5sUjh8dx8aWlVXZ5W 1QogmXyobsY0cnKHoxggpd7BJoB1pU0SoImI86PE12H2EEYSZLEamvKa2gpE BVHyjy1IKnlTV3eZbKhemM9OyWO1dZcjusP61qr9G5ZRSMdK69IjEgJQUUg8 9rU3rUQqYAqxvixHhigyry49kOvqRX89pO223zGMLK8uUgXh/mxHHybGARfs gEO5kDwIyag2WV1BQzUpNR48qsY5c5702ml+dLi7vbV0w6vw+8YE/Cub1bi5 Zly1wISrtkXz0sTCnGp3Y7Kguqysvmp7fQKpAVrbWts+pL69waPjg0OY4f/o 5Oji8uJXL/L7GjII7X0jXYOauq42UkLsW+wbXyJr2bqRViwa1HaZlzesa/9S f/pv2qyQH4jLG1E0kiCbC47bTBaw4GPBnGdzolOoWeWVk1Mam0UHl5UZmZ1V z82qwQjPmJSJObmm2YndrRl+bqa4vObw+HPGiovD8cmu6Bw8XYiRSJPjc+l9 w1IwdytLuoV5NQBLu7urnzX+2KzTy4tagIigqYR8bRAws1quc+hsUDW3ISCX vvMIq+mAlE1kv/jNBoStdmSgqVHSN9hUUZ3R0lKUns3JLoybmtbdKmW/VHfm K87d9Yku18KiKD94kzxIWHS0x+swnEsk4XEQ0QlLfh1IfI3CedO8mnqK5ZrG 6TmFeUEzP6vuH+oyTiqa21t7+nvHJrqBhOEKMJzUcE4qhZEcGpseieJgfemo sGhcbXvFwcHOlHkeYIzGfogX9M/XGvtL28nJIWLtfX+w48uMeAkw0g06QgCS Ny3YmQDeX3/5EhvkREA5EtBv8cFvI0Meo72qWyRazcDcvBFKjjYMZ0miBoel l1dHA8P1CUISwCFt/fXiiorDI2ih/pnJvII4ok8NUxogT5JyGKT4gLQCbkwG kZKIpiZiQrhofwaanXqNf2LTCdw0LPhNdUNmfXPuJxHa4AcxIrykJLGxJT8x kxKfTsopiOGkEbyY3sZ548lNzPMnQhJZiprRgca20sraLFgF+/R+riWzZb6+ pSiniM9O5kRGMYLoND8K1TGcDFNKkl6HUsD3SZlEb4afYziJkcSrbSo4+9gX wxOm/eSDi05j8lKjoFBtH8p9ZwgaAUT02p+GJjMQfu+HMBfBPWfafWcyKSp2 cnr0XSBDJJG296lWbFs/7xi4yqxpBM5tuTz7EP2FmMLsszM6OeQgHluYHwML Xi6rB8f42JBpSqkf7bs43161mb6w9vefbIirYclmAw+QXNeDT44JT+A8D/N/ i0f/0885tTgno6zqv9wwL0IoP6PbIj9FQcdzNDWIF/oC4/XUk+ZNCX0XEfgK jX7oRkHCkK7J0p0o3tgYEk/0/TvCqzC/aAl70Waua5evrG5el6E/P3v/fuf0 c/U3f6lt7u5ml2b09V3zJsmHG3t6qgDE2tqyffb3twuIX5TTLh8cmRxr7SjX j3avry3d5K8B3f+8uVt5fHzdjc2tVYCL4tIpSQDSixkIOroO1cjnpeWzq5oy e3oqAUIDx6gWyo8bGqwdGJBmFUWXNebsHUAEg809VTWthfa/2Gj/ZxoyBQbT CIrnEciDCmfcrbjKExNKagTBUQAsOXcpWmLzGN6Mt82DtVfXSVtwsKJl0ZXi GxLt4UX3dcChYe0P7Ur2dCG5e9KhWuThCayQKN5LDG1ybg5mZbwA+x3ASL+/ q9e5kyPGCYW2b8KoVGh6rMsjYKudnVFJW+vuVM7V+dGi+tTjveom4wKUUGAc H97dWd3f34nOpknqMy8uzvcPdttkjUBROv4TRQ+R5319Z8UtEvvDO/yPjhHf vSE88YTEhUMA+59vcUGkFGd0rFoPxZ3+Sb31Kzak27v776PEBRFcck5BFLK8 gQJbLs3MyE9Iz0ssrkxnxJOaulsg39by6Mbq2M7GRFNXU1tvCxhwHwr3cRC1 T6E+PrBJO/vOzqFVdBftACg7YVQAyNrW27CyPLq7YVKNtmlG26amB6Cst6VR ja6dlR5Z0px3dSeOHYkMWbXNmBfUmWWlC3DgE1SVaU6tH5PZViDadvCqNwxo 9Ar91OySbc3+ZcjzxlK6ptX27+xugqO+uaCuuWBnd/PuD+7+/je/+QPDfnWd BmLX6LXsZMKzYMILNMkRi3uOxr8KxTmERQDp+hpD+LsjIV6Yv7ioXFnWT5vU TR0NSwta84J2VDek0ra3dJZNTva1dBXg4sgupABXUqAbOSRKRGKmUcED+Cw0 4FmYnw8z0p2KfREeMG9Zsn9xNPu/vEG9Oj051o10b2ysbKwvL8xpUDzi8/CA TwCSFzXYkYC6W3jaAbYywVAK9QTjm1WRMzIyaF6EdGS5uqdvqObqCijgZ1qd LDmDIs6L2t37CkrKrQMrJZ8t03RXNOURYv3YaTiukADQDjUJQ0kMwcWEMFMw zBTEj4ZhpYQBHTkhkywbqgOvH2EkKEI7NEMSJa3Lqq4Vp2WzsiQx/kzvhoGm T657enp8i5euJfaEurIuu6ouR/+xEenuDUI8eOen5uWl3PJ8DJPqjKM4YslO WMpzNAnO1ic+Dya74aEUv3u+kSR+RmVz/YoNyn+EVcgrlbYHRcXR4sijuu74 3NJngbhnXrS7HqK71U/A8cid9qMT0Q+fRIkR/ehEdg/lOgVHb+28t988O18y +Kcn+3OzinFD79CAdHioDikyohhuMk4MwyXYGnUj7eDN7yrb9OfaKVvMHzUq uhStz0I/VI4GazKQSwxkADFIfg5xjX7gaX8dSn4UiH+BJv7NBVXa2L65tREj 5j72Ij5wpd93oT/xwb8LDX/qTb61Iz10p/7jbQQvTVTf0vLSh+dLZs79gqnn S8YQAOZFq2VyUtnbWzM4WHe3srNiuGGwv3pz4zfoJU/OThGv99WNy3V+0ZqW V9faq3HFxJ+cnoFLlNUPqEbVGXlcdFSQB90rgOOXksmCTKBwkZrYNHxuafyQ rG6wX4rwuKqUUNBRU6ukpb1IUMA7ghXqMdPo0qr5lpfvG2zIKPVrOsNivJHC YbeF6ZHYbD+2c01TNjcd70Z9mVHB39xd39xZ/8QCc3Z2EcClvY30cSUHIBLM AaaqfocHKl7AO0LQM4z/M3QYnC4a6UygCEsr19dMliXt3q7t8vcbc1Rjuh/9 0BR+mtUyalkcvS3fs2Y1gM10yTyyuTouLil6GcoQlqZ40lwGR/pm5gyCAq7O qMqvTvOkOfgy380uTRc35VCFWI22y7L8x4NykX+1f7jTo+h3Co6750x55A5V U3oISQ/KE0/G/3yK5aRI/vD5/6oGR1EwBXmQjhNM5qWwMvMRIhR2bolgQNFb 35QjU/VoDGMLc6pVqyGvsry6pbZQWqEe6UNz4tHsOLYo50kQ8YE/fmrhmkH3 49NDH0Wldc/RtMScPDAvqytjA8r6iIQwQhJOq2sD80VNDX2NeyDXD9g/Vh8u zk8mJoZxsUk1bU3bGxMAFWyujVc2SbW6wYV5zdiEzLI0sroysbU2dnr0+/Ky 7TeMFkhraC+fNV+Xc/qlKBQkKmPVtrS8/HVqACENqIT+9DhqPDWERXrgT3oV QgKbFCRgfYlP/ahPg8hP/Miv0Yz61qbNNaBHa8BwgVewwve3TZqR9qQcWggv HB+HxsaEgifuFRY6XkcEOhECwUekuO3L8ECAjgB+GByB7KjfYPSj/Rao76yr 5M3i4tjckrgRdSuZD8Vmv/3UghTiiA++y4cPfvAk1C+IS2joKPamoRo6K6eN yqkZSBMBEhyi3rWvX12dLizOpGbS61oKz8/P/+wzCP/zqVlD11CDoDCKkhDE TsNCsdYpABeh6fyb0OsUjC89ODIOcrTR4MBsZnIoPTmkoja9tiknShh5C5AQ 7JSYSckujBVkg2cwOi2LFZvDOzg6uN0KEVXUsmyaGJfdjNh1vkllXVZjW0lF beb5Nd/RR3cH9qCK2pycgmgGP9ohjPY4EHKuvcJAr7fZ+rBMJkPmjmAooD0h O99qQ6ohQKuld7AhSxKt0vaenp7ys5PehpB+gkmZHrpBMOnnkcb3XMhPvdi0 +KyHbpQHbtT/fBnZLdMiOSufm/nPz8XV5Z7dvm2zGoZh2qsPFUZugliG+mtX LJNgfv9qiQq63a+RFzYUu5BC3+HRjoRPS1Y9xvh4EEMf+GEhwy8OCu56jiY/ CCBh2IyImJjkvPxOmers7PTw6MQvIu6VPxkxtd1zpj32oDgA4flh6GivUGFv CU5ghx0dNwYSxUXVvUDyABA4t2C8CdL4Uh1w7+A9OS2usUPa3FHd0l4mlzUi 4zYsq1er2ufn9Deh3b8w/jffTy3MzK6Y3r8/Lqrp8o1MpsTm++ITyxr6WuX1 jLTUQGLmqG6YlYxzp3s4UV1IiaE5JbH0lMi84vhMSXRJZZpO1zU0COFbAI2m jUMaNVSrTqNpbWkr0YwOnBzt7h/sEfhokxlMpb2yo6iut/obVOKQ0Ugq5MXn 0jv6qiPj/Rq6ynCJgQAmBfHcMDHeobE+bCGuqiEzkOcWEu1ltkIxsVf2693k 6Pg4tUTSr+kOiQl/ER6IhAfcKXmGehUeBrO0Eb73igBKigeR44RjEBOT5uc1 8/PaNevk+fnJl9QjhnzTx8fxueVZlQ1vwqn3fCOau5r2t4wAHRmnFHDGE4SR lq9LHGqDGPH+TJJDuN9LTAQ2PgAd7eHNfBeREABux4fxNlcqauir8mU6YmJ9 pI1Ztl/2zH7ZGF6/8YqI/8GRBKTHbY0A8P4nJ7I3LnF1fevuL//tDR5zO1sk +ZsL+lkwFcdjZEHRCBBAEmRS2Sm8+JzCeTOEG3d3LDs76yg2/wdv3I/eEYGM OEccw5+R1KMcXdvakdS2tg0qoYjVzxlId3fXF8zjyLzYLLoJ43BDR2NdR2le dTKYphF9a/tQ5SePP7In9ClVYTHC6Zlx87x6zTpmGBsQlxZDSW3Lk9vrUxNG jagwVz0yCBbP77pr5BobO9urmxvglZSWREmN3tgw3zXXQ9FZcHL06uZ6vCQz KhtKcertrZudMbw/PLRt/EZ45K9dHYh+WDQhn2Iy0p2wBGIc8WEgASaZIT5D ke55Ev/xBg9W0XdviD86E39wJeSWVABcBNDRxup4S2+dsFhY2Shq7Chyp0a8 wgYFc9BoDtqZcI0lHO5UG3wR5k9KjR0xTiAWpG8Ln980pFMHB7tAw41NJ+Bj /QUSJo0f5koOZaWRnImB1woXDqhawe/wwXdkSzC4fR9mhFzTARQilbZ5RDeg 1w8uLs2/P4DSuyamzZMmKC/GaDJ09kr/dIk9qKPHJ0emhUlJjTCE6QxADhJc xEzBRMSEEONDbh1nABd5UoNdiMF0PhrAIUEeG2AkUnyQMJ/T2lGkVrSk5jCo icEIQErKogryWFXSdCiPLJMRzccOwrVKkQcKmbXDo/fVDXlKRcv2phX5Eyx+ r0YMsrKaDHAYJlQ343mFBBJcXV4MDtVJSuMz89k+BMojT9ITL8g15o6lQuaj YDgTLQhKSXvgTwCP9utQEj83CyiSN75mGINdnB8eQZEnMmWnIJMSlcpyCGQC yfaDI/GJJ+WF9yfBxtQfHckB+BjXEN5PTpSfnEjBlIzU7Fy5uvvu2vulyJkP P7g8uLKvA5VqaOBT/h+E72vaqLDbd6Ym+7e3/ypeYqTDZuvy4xDv+yjPJxhf sNgccEF3dzeAl8ipUc399VkVlTgePV7EcMaRH/rjn6Hw8emxOl0nUksXtL2d ZYEk728O2IeutNu4ow/w0o3yoyPlvgvjVXD4a/wbaWu+SitXjEKwAaBfvohS XiNessx/ebcNM1PMjJQADoWXHtfXD7vYhhvVEC12rXy4+fg3aavhhbe0svHM P5yWLMJzcv//J5jv3xJe+XG+f0fMq2ogpEXed4tsaFe09lVgo8NeBODfYP1Z fDKLz0/NZhsMPaZp2aJZO27oKylPrW3OmTXJIRKYBQ14A7Zmg65bo26fmTUU NUoEZXHgWpa1JU/aq5icxF/v2L+lIZqCdkJR0VYAOme1LVycnVZ2FPsw35KS 0dg435au0saeit7eivpWibSrTDUmu7pWCaAt9vj02JsBBLWHO9X7zcfoGhbX Qa+w6IcBBG9yVFWztGeofXt9AoAZIPB1hoFh7eDh0e/zbcXlFP7dHQWAVnh0 EjjVoKJL2lq7CFe1sFn0iH9teRHaiysa62Mz08Fmn5iVSuAHBHLdQmIg7gLI OMbzyJEKsQn+PizHhFw6AEgqXb8ddoX/4dkBA3J+ccHPKfvPl9jHHrS7cuOx B/1/P8flV3TZvz0Xm3HO7E2NdwyPhJP6ucJsZn6psLg6O6swiS3KX93cRTo8 u2R1I/CeBBHB0TKg0ExM/3at2KuzjU2LZWnEZhlFAq2X4Xnf3Zx8vz09Pa1S anv65W2pBaUVrb2ftRuDL5p7e00m+dbaZEWtuLm9uLYpv6A8vU/WWtLQQo4K b+7tXN9YWd3cOjz5Itc8cgmAcHyZhLd4tDcj0pmEae2rHVK2TU3J93eW9/bW 9nY/OOhzaiv+h9OzkpaGvb2t9naI2FZUUZRVU2b/o+6qk9OTlGIuvyBPUtt0 eXks1/Q9Q0FxR89ughbu+0ViY5LExUWeEdFEnvCpJ/OBC/U/nuHqW5p2NydW lnTq0W5PGs6Z4M9Ji4jJoLiT0S/CITutKyn4k0cP3CCQ6vVdNX+gn//SdgXg 8eX+vs26PKo39ggLuNHCSEJcICE+lJ9NdyOHvMKBe4HS519iUS4kuITizQ0+ RPsISzJ2NoCWNDoyKlOo+nX6gWG1LoAoaO3VoChCNFWwu394doeU48901A7F YJwkZTM4ApykRgQwD5KVxk7BhPDQ3rTgm7gjDHiD5qJfYFFhUejiKj5QnFvb CourUkQSVrlUBLb49s5SciKKJ4yg8UMqazMMhqHK2kx+BrW2paitu3pjw3rX IbX/fmdra62pvby9q2JyXIZY7xFKk7Oz06KKNKCwl9ZkAPDW1lUlbZTkl/D3 9iAcXtckrapvKKiqeulPu+cCJZ09cqM+9qQ89gEH+ZEf2SGUTI5l0BK4MWJR aU1uW2dJZV32+CREpvTJ86geHRBms2SKDn9i2n88xQXTkuOFMc/upKs/dIWi khz8aK5oKrTdu1KfezNdQhL8IphQdJnd3jfUvLTyYZcHkwKA3NVnOeKujuxX 28dHSxPjfXJZwy1GQsi+wKtpanhuZnjcMPTXuWauZcXmBkWQODSqYYkTXclh CEBCXGxvI9FgKR4cXldyWd9YrqwVi/PjApnxibmSrW1bVX3O3KxqbdV0dn6y vWU2LwxHZ8bdd8M/cP1od4Bi3T1oPiQy+NP3b2hOGEpkbHiSmFrbmK3U9oLF IMpmC7OYSRl067r15/PySUPiDLOqyxwigpMLMuR3MsjgtP2mIVnz9u7mb4an gu0sqTD5WUDoEw/WP98SwBb2yB1o+qRnHhwyn/MM7e2DTeqTN7lQnV6hMd85 0NEsVhCVRY7OsiypwHZssxisFn1Lc+HwcINlefQm9xly9CyZNTpd95RR1inr j0y6Nh9J6jOcCQ4x2SLLmvnrRnt+xXbrNYNdj1f9mq4cqUCm7tDpoCDYzQ3L zJRqfxcqYYD0H8GZvWr58zC/N5Eht8GTn2Dsd/iQJ+hQx0hSqiQvs7Q4q6xE qxsAG6UNymYanZ/XLC+bRo2mzZ3dX+3b5eyyWTdtREVTXmNxP3pH8kRioFN7 kbgd/S3ba+Pzc+qpKQXia0MCZuo627sHu8bHBhtbCwEoikwMRCLPwRECB1kB sBSRGNjUVhCREFhSL25szd/Y+H2kOh/1EA4SbuvVPPGOfAYpVnefAvo918hB tdr+TcahHZ+eSds7+OmMnBJh10Dr9Kzh/OJy9w6l8NW1WnqsM84Y5xY/fI8E Q3yu/vn5+blM2Tuq6zMa5TB/0XUC2rRJqdD098u7eoY6imrLa9urldo+66oF Od3dMyAnb+6Tzc3rBmW1aVlMSSlfkM0F4gLLoWBY1ILS+Kr63Ma20rAYUdew HHYY/vbEgZ1SrR9WaTsrmktrOyqQyHMgx8DjrBvtamkp2N2a39ndyKutGFAN AZHoxcAXtzT4MXANHbVAWvqyyV39rTbrwh94ipGNoE/T7sv0cyVE5ZWJuGnx j4PIrzD4lyH4JxBTMflRAAEsabmmBwm70owMDMi60/NL3DHRHT1tAFs2dtZ4 0rCvsChXciiKg/GhB7tTrgsxQ9baT9xPGB9RiegmOfpblDlQuzqwX61CBOBQ eZTdVet0c6skKYvKSUNzBWFOBCjSw5mIAncKAJI7GUKDDh8sSAENnZWrK2NA P9JoBxYXtGs2Q1F1Qxg9RalWOfjz/tdz7KBy7Cv2FfxnW7dsbK1CWDefw0nD UhKCWLC/DGDU0CgUMyWEkRzKSsFExmGehwW+wfnGZhAF+ezW9qKW9pKy2tye nvKS6rRxw2BuZQo3DdvZJ12AC5pbV5dau6t+tqjgQOuV+cLy1IKylOIqkX60 d8Vi0uqGRkd6rDbz6ekJeM9Pp6Zm0o2m0c6+2gQBXpDFrKrLHVa241i8h26k R+70n5zID2/FkQsAMNT7TtQHHhQnHCUlk51VEKVUd07P6E2z47cMkx96AK9b q3W+u7skKiX/kRshq7jcumbDMhP+/pr4yP2jjd4dQ0fs5+By911pD10JQ4qu OfOETNkBYFtWZTonOyqtTCgsF+aWpeYUxd+G//2snZ6fWfSjUOrWMOSmaUCK 7iHbPfg4NFC7tDh5enr89Sb38w2BHBcXJ4Fc0svwABdy2POwgMchvmml4jZZ x+nZ2a3xfHd/12qbSy6sEpTUgo8rq5b1jcUls9q6MnZ4uLO7bVleUvvieT+8 Iz90ux00+gOoEjElkMzliHgvA0k/OJId8X5+HF9uCiEtk15Wk5EpiRFDeWFM ubbf/gXbExCD1o31RdtKdlVRQWXm4OAHjKSSNw0O1ikUrTcxt585FXIvepPe IeKNO83zHZp6Gyh1z4n6LpiOig76p3NoiriELeQ44NzA6rrvSmAJo94EMmub pbqxfjibRj9m6IUI5RY01hvDBYyOtPOzyjF9z9iEAp8UmVoSbYcCmGeDo1z8 mBhfpv+AFioXfn5x9g362pB21/557fv44AqHKAhvfwlG0rq+1qWUPQv1Q6IF 3tzBSA64QFdSWFtvQ2d/U31HbXVzTWZpUWp+flxmdn17/fS0AkAaOB0JiqYe n5CZzbrzs/efzcVAdpaYPDFAYg4RQS9CQ58GkRWaXmaaKDkvb3djYnN1nCvK EBUXbq9PQDXClkeXFkd7ZV2LZs3ExJBpWpYsYYfG+KBuuC6R+HNftlNBVUpK PtuX5YRPDCQno9sG61Y3rX8YwV7B0cWxovK/vYz4EUgkNxp8QADpgQd21AhZ +7+1TKLbdThvngYP+Jf+q99avkBlR3NTMLyknIqqUf2g1QJTGC3rZMruAXnX 9LQSYJK9LROQ/L0K5fDo2ILlM8oR8qiaFhbjBCwxxPLNgYnIeEkZHEE2hy/m ZRcmtfe1EWMYZTXi81+tNH3TwASdD6gHgRaztTaxumKwfkDUOkYaNzU7vm9A mpiV4IxHYaMIjzF+5JQYDyrup0A3Rnoyvyg3Li9dPlhvsy3+vLe/cWH4x+px eVlrASsjwhlPeI4CcAjCRXA1eeITuO48wEgP/MGXxI7+1p2Naxbx3c0J7chg QUXVwpy2urX8TQQKCGo4jQtCRABCuMJ2FS8aeBN8FyM5EUOcSWhheeH7w4M/ vKr/+nZpv9qxXx1fXe0dHS5rVB1qRcuwrC6CSwlnkwkJYS+xgR6UYDQH7YAL 9qGH3PrXnoX6B7AjlOou07QKyGSEfQIMWkNrY1FF9fKizg0T4+DHCiCmraxu np59fVMDwBJL1oWMkiRifBBPGI5iBwPsyk4NpySGsFLCSfGBwrIscXV5AMOH mhRMSggmxkNBLAPKXn42bUjecni4n1POV4z02D/Wm+5O0/7+1jxMzVfXUpic QRVms+XKDuO4rLo+p6ZOXFOfVVCeqtL05BYlpGTQKuuyhhXtaZkMcX5UWhZD lM1Kz2WVVAoTxRUPPeh3rRauIfTnvtQfPUj3/IkPAkgvQqjpBektHaXl0sxZ OJ/lc0vl6uhwl5WYzIqnSRvSYtNSfnQkvwn8ELB9z4X60pf2zIt27+abHxxJ eE5cSlZeJIvigyPmlyQKcrikuBBsdFB0Gl6YzeJn0MpqM+Xqnr2PQ2Lg/10s LozoRjpGNO1AjE9O9KuVzaapIeUd3kK4SoXqq0/rzxsSQZUjrQAb0LCuZ0Db dT/Is3kQqm9+ceMRuO28zjg7oFKPaLsPD/fAfrm+Om1Z1AIt7PR4a1iteuRB vCHQpj10pzzxxULVh92g4y2KHiOO96WhnCgurjQPanIElC8PTSJURDgtl7e+ vQ4Pzmee4qubKle34ze7bG5qLUbKxd5NsQffWG3Lv+LlRG4ksYjvTHUJjyX/ /XXEg5uIkfvOtOcBuJchAe8CuRgq/ye38JdBuO/f0DzxxDAO94UP0xsX+xYT YZzuX7OOd7SXKORNq1aocPmNZwfishsz9FjMI6WNuc6kZ7Mw13THUHUwz9uL Go7iufELo+6yeH3FSfzq7TY+8O7Hu38FyjhDlOzNwDsR0bD5KBAodIj58R0h +AkaTeWnTEzKwW5oMqnAZnR2MHuyP3O8Z0ICKpCiFbOz6iFlt2qk3zQ3jTi7 71zig9xY37IJSkXOpEAXUtCzYMLzYKonmREeHWdZ1AFQVNde7xLJmjYpwYaC zMLcrBqAVVhsjs7O6iU1Qj+W460FCcnOi8kklUqF/hwX8DGQ6xYW7xcW57uw AkdY/aFwhSu4t+zkgsceVBQl5Z4L5ft3xHvOlKeejP98geemlF9+mZXjX9yu ruwf6Yv2j+b9zh+ukDpzX3hanXFGqx9et4EHBHKuIc8ImHpwrK7o5+c1jNSM h4Hk/3QJeYdjyXWQWP7E/whj46vNnb2cYoEoh3WTQMoFYAnApNhUakVtbnVT mSCTLCnP+LIKgEhYxcXi4jjASLdxa2Bx6gy9SGLUu0gIbODjaG7kUCciJiSK /Aob6BCBAuvcnRKeXSzi56YcHx/u721/4TjcbXH5jCCua3QO7V1E0ONACpwI fF1f/gVkRII+PkeTHwdC0dqFNRVgoABAWlzQrq+Ogd3faFTsbBhH9L3oKAoc w3wdnHOb1eVNC/alB7+BQ5qRJ5EpiuGIk6fNC/YPq/rcfrUHHt9vCjLBPdld mFMODdQpFc1AknuFxd9zJjOTMf4sTAg3NIQLsF8wOSnSj4EByBD25gdVNBXb LAbL0gcJvLk21tbVVtfSCIbOPK8trqp5E8D526uIktpPccif6Spos0vXpe6q u1qfoF2YKWGE2ABWRsqAqj2A7gHAKi0Jxc+P2Ts4IiazAUCiJIVx0kKd8V41 3d2tfVUZJfF2KIDzAClehpz459c6OztRq9r29jYsVrMgkwEAUnFFmk7b1ddX A0BRc6sE4KLSKqG0Pjstiwn+WlKRmlsUL4CI+3gpmby4NJY4P37RYq5tlXqF E+7fmLWDiAz3CEoAjYaLYkRE0QSSrMnpsWXL3C+NDxSVd3EOulrfIsnM58YL WA9dSQBlOQbR72ax3Xf9EFfzkxPVB8fwx4N9k/TCm45j0Brb8srrcsQ5nNzC uCxJDFSWIo+XnEHLlMS8P9y/SYm+HYSrk2PryfHi/t7c5YVtTN89NyMHYOnu jg/ea9UdF1+kGf2phvQJyA26KGlnb95u33alhDb2tV/APMUfj9P1R4NBNm0c WF6a0mp6zPNqsDI3Vsczy/O+exfxwIVx35n+yB0K1fYghr8J9//bq0gsKzkx I/eFDytWwKMlYz0ZXskA6EISDxJ6GbmchCz2ARwn+XOA9MlTfHZ2gcQ/LMzp AYxUDN+pOQuApartV0YMOdXG9sZr/LsuZdfO7km0oByaYhfaA4jGgQbRfXvi 36GYTzxpD1wocBoj5W0w5bkP7b4z9bs3BD96mNmsMs9rerorFuZUtz4d5ABD MTnet2jWRiT6x+WzRqe08wu6DZshMZ/rzfD0Zb6RdpUB5Vo2Oji39Gld9f9e DRnJueWl7JrCsDj/d3gfd2pYIDf0ZXgQ0JJehKP+yz3QlxqVkJ2TKsnPryqr aKxp7GzsG+7U6gZmZ1XWG8pB84JG2lqXWVqcVlA0aTIeH+9/YmOZmNPl1wl5 WURnoqMjMeg1LvhlaPgzNPYZOkym7FoyjxinFE4RzObupp31idtqqghqRV6n p9RF1WkBMBBCYpDgKireJVJBBBSLDpGEQ4xPXJfweL9dJIb2T6SzacfHxqZM vNSy/+8BhpKQ6hxG+q+XhGd+uEBK1PlXCIT4q9rXKqaMnAQAnorGWoQ9CUwB 2K2QCDHEpQVQq9Wi7x/uICakxuWWrW/B+uMvn7OuOR9oxLcA6bYSijg/BuG3 FObGNHdUnF98SSQSdJ3trSWYZEl3SwoxN6dq76/3Y+FfhEOFLYA68zw8wJeO cyGGOOCCwHb8IjzAmRDiSgwhJLHHDXKZrOXLRwsZk3nLyltcKIrn7RSJexWK RGUjViOiL8MvkOP9ChP5BMonIr1AUx4HEX/wxtGShZqRAatFBxOJj8Jk5lqA kWJz+I9CfN/h0Z94tF9BTqhgFBvtQkIBBHU/2NuPGbmxAdXg+/BUXW3CBW3/ 1Q0Ofb9ud20FNy7ai8MDs0YFyXMgyeWyRudg8MRyo0XEjKKoigaRHz3AhYwT FvBQnFCHiGAwKZUtZVtrk8tLH9jdwdJatxka25p7+jvWVw1rNsOwsrdnoNPB nz2ggBxtF18jAhDpPFucGp0jquttD+JRA7gUX1YkPi40gOHXr1GqDcOoKEYQ KwjL8+rXyEamJt9iXSNjAujJofjYYE965LTZVFyXcXR8+CUX2tiw6GArU21z QWomVKRDWpelUbaWVKaJ86PgMhbchub87IJYqN5rXpSkNIEVz3rlR3vhQwO7 2CM3oKBRAZJxDKKBNze2HciI4RJMDyGzwmj03KLUhpaC9p6aXyoLu7u3VVIl lJQmp2Wycot4GCrzsTvNK5wGUNAnWWwfDjfITgVgwEM3ijeWyYilpBc2NHaU pYkZfDE9SUwtLEsGHa6oFnX3ST9JZIYvemS/Wr2CFur++urUrEkOwJJW3SaH qaSRZH/wXgcV4/vLvWy3vQIC/PLy7PJya/+99fj089IGWd6Xl+eW5em5GYVG 3WGcHNxan+ju64BCL9wJzwNxT3yxbyI9nwT50/hxbYPFHuQQDDNqZ3NCUlrI SuOmS3hJGXTBHXrq9BxOdmG8be2jZGHECnQdpXawP6ST5dXnc7OjQ9kJuJjo lU3Iyn14uD+i7ZbL6oeH6sAxNFAzPi6HDU2/Zj4yLZrYWVzbhnV1bX5Y0/rc Hw3mEXK0uUDx5GBCH3qQHtyJMAcYCQDjh66Mhz7BorL4uo7ilKL4FaRQ1B10 BGS+cXLAuqTrHKzwZrxlCKNZ6fi5WblhvDckxiuQ6xKRFGi2WMkpCa4kJw9S 1MziH494+RYa0vOipmw/1jt0tA+eHzY5Px7Aifynv1MQhy4uKY4RZ5IS07wp POcIpiOOgWbHBTFjXfHs6Awx4nNBGJK31sa31yeAZAPvN1fHzk+3kRHp0yiS i3KZGXGvsG9cSN5ORKAUB8HBmahHaJ+iuqKxcfn0lAJsshheAjjJrSlv5SYq DJxNPyZLzEonJ6ODYGgEcBGYC8SIhInxDropMwc++rEcc2tFf5JYG5H1C8tr aKqwpVsN1K6F5eW6dsWi1bxkgwIU/7tO9hc35LHdP3g/NwfU+UnbyhiYiInJ 4elp5Qc9YkE7Ni6raq4NYsaUNkOMo7/keURU15rmigQh5ZOqmulwGaCMGwGS nhc7ZjLZv+yBOjk5WLipK7cM+9cAftvfmu6WNSFuYgcc6h0+2JMadjcp7A2U VO5P57OkNRkaTS+8m3zRfCI2h4PDw9js0u88g37wCn3oD6VaPwrAP0VRXmLw UB0frmsQ18OdFHbfD3/fL+IlhvIOS/+7e5hAUjA/qwYQbvkWA1jH2/tqX4T7 QV36WdQfFNIcGRidzsgtyyhpLEoqENR2VFxdbNjtB0C5tF9d2K8O7VdrmxuL uzvr62tLt9EI/w5BdH1F+Jk7tFpG4b2vBS5G0PiTE4kZn6HSNIoKOOYFVU45 n58XU1Yn8KSgHmP8nof5y1Tt63cM+GASTdNK8HFY0Ts+PgwXVobyNSC+td39 s/OvppsgA2VdXwMA9Ttfp0Au5fz8vEMue43z5Ym5uKQoO8zS9hoXRE5AVzRD /B6tsv7MstTwKBRPEO5BDkgszIPu+tpy+4vDDqZmalJxfn6mVXfMz+qAainK ZsNuF3ZHZ2lfb5UwmwUTl7ELypIB3hDmsDMlvOwCSHfgZ3CoMSyPULp7KASN fnKm/OT8wbyDxMCAb/7xhvrKl5xdJLi1KtwGFt60C/BJqxtKEpHBhcT5PH46 BwAteiwLTWb+6Eh56PaLGOknJ/BX2mN3JoHDdgvFCyUlNQ1ZSRlUBh8jyGd1 dpTmFsWn5jIrpOnD8pa5pekV28LK6uIde9oxTNSAfDw8PlpWDANE1G2ckIE3 AEtvrI2dnx/+G9btrwY422Flc23VuLk+u2IZB0JmxiRfWRpJL0395zvcIw9y a19Vx0BlRFK4M9UZFR1kMinMZtXcnNxqMSiV9QliKjuVkAlVN4NFHHyAN6li utGEBGlcfPK0diq7XShujiSX57jnzmTXR544r4jYcdPcyel1dvDOztr8nMFk Gpmd1Z+fXVcb+aVxQ74fN2qyCxPGJrq3t+eSJLzvXcKeeJFA52FTEuWTiX54 E4T2GhPiHEp5gfEJTUDPzCisy3rL4uitEgqUu6nJwdWVsUQJzYXo4kryr+/K 3ducTSlkezPeedPfdMrrBzQqZ6KDNzXyH+7Y1kGF/YsZgL/NBgZzwTI7u2wy r8yVNOcaTKPzlpmYvJRECb8LQFYolU9lWdYhFC5AWIGdcXYWLAb1XWAJtGMw dOAAPyiurShthBjS5paXXMlh//R1gom5MK8j0Igr4W1k8NNQfwKfPTYhG9UN ljfU/OgTMajoWrcaEFEJFuTCnAbA1/k59bC6p6O3nZEWh+K5kZIDw2J9skrj YFzkhlTjRd+JSkJFeUjbCpctM7At5Y9PCpApEI3W1xPI/70a8tQNqjXSpoLO 7pL6plxxSUGhtHpI0Y04QMFGrx8bau5q5Aoz/rdLyOik6eqm4ONnzgY/rdt7 B4UV4qyC2E+MSIgAAdtBdgH8fV4sUHXtv4qRbna39X55y+qKfgnx884opqfl iwsapjD2Edr7lp/wE/gBJc6HB2K4RFwMuaw6G6iuXy6ckV+ChVHc0Fnd0eeC Z3tSaL702EeBEU+CyF7UwOzq2PA4nwCOJz4+IZgT401hjo0PpkokY5NaeK// SBebnFRklac/wfh+1L0IAOrQj0N8haWZQ7J6tbxpXNc1PQlETuu4oWfRrDp8 D3kH7PYdoJgvLqgGB6TDsjq9vv/8ry2Fcx1DOLe8mCMtVxhGmwa6AX5ARu7k 9GRYNwKHkW+PG3q16jaVvFmtbB4caBDmFM3OqLv6Wtt7pTqdQtoiae0u6B2s ciMH0wWx5BSeRtcLr6gbCQwe+XkgTCA72x3DPhg33f6e9fz8a9oZED1oQKt6 gPJIKMhCvixolC6t2iiCxLoeKNA0XpLtSw8WSFgHN6UxartbA5l+VH5YeDz7 /cEhTOPzizm8yBY2OT48N2sAWv9AX9XgYF1WQRxY5yliRm5hnEbZUlKRmpYF YSRRDjcznxuXxvbBsvwiGSgiI5LNRpFYYNsCYOapF+3nMAb+hvbcm5xZkHJ+ /v7X77e9pyanKEGcFyXO48QL2JEsJnjifHGsHx2pD38BHcEp/xR/PCc+nYPl 4kjxqOLqpKzCGMjbmIhKL+BVVIuEeWxaEjpGRGAlh+ZXpqbkMAbVUKrv7v42 VC5hY2NqYe745PTg6AhICIOuf3ZmFKLjuNwGU3x2ugHDp39P+/lzj2wZi4sm max1fFzV01O9MK8GT+6Na0mlHmkPZyb/x9OInOLKvU3jlFE2oGzsHa5Tatps FgM4lszaVet4UwtUuSMdFnRgZgFSAjpgKgDGkliVtu/uFQ+P3h8dHx4eHTT0 SFuH2xdtS1FZya9CUA7+zEfuzIeutBCqyGBc0BhmP+3qryO8q8vT0+P6lsKS qpTd3Rm7/X1mecF9Z1IoL/yhF/6BC+1zC+lD/P89Z4ojwQMTHzxpHILVulur hW7GNAzw0thEbxDPnZ8fKyqJmZ2Fsv6bugsT8qj+bJfOYRkrnRrE9XwWTHQl 8N4fft6l+N+33VpotcbJpLwMnaFfrumZmVHbYJGFJOaAtX1rPgLCDWxPSKDF 5uq4zjAoqWtSGKbAefYPjxr7wUjSHAmhn2xSr7CBPoyImlbpqGHogT8+o6Ro d2MSca7BPruRaZManLZroG1sYhiA2I6+Fl8awZPqX1CdFptF8aC/jhITE3Po /hy45Bx8AICEifX2YbytbMr5WqOBQF/Es/BNxXv81W19czVOyE4R01Iy6KXV wmFFK+weMszNqpFJX7cZ5OqeWHEWWyRZ3/41yrLbdnlxMWbUCqDt4MbFBlmQ uFmQOZpNiGEmpTPTJWk7u18IkNb6Vb3QUlzWra0YqttrgrgUYjLPMDMlLC98 HnZNluvwMUACHx3x6BAuwZsWXluXe1Mr6o9M67R5vqS5FKhIj4NCnSLIDwLQ 3QppWYv4HeFJRbMYKFntfc3wo6FbsUzv7qws37GLgsM0rQKvwpJ08Cwg2aMO cOmNl9jApxi/xl7p3taUfLhxcKB2eKgeACQAPMAbtbJlZlp+eGgBW1DnUAU9 KSSnPOng/S543JZs1pKWuqu/zKANMNLK+moQj3of5fEY7d0+DOXj2C+OMquK sfGsZct4Ya1EqWjWqluV8ibZYJ1+tGtjdXx3c7KspkanG2zuaBkZHZwxQa55 vkSg1fWsrhiAnqVU9a1ar8MOlxe17/esNuv4raI0aVQtLxlsK2Mry4ajo72v fkfgNa1UMqBVXt0xga5tbdg218Ew2jY3vJmEcJ6ffKQHCaAFWhMmlhnExizZ VqAYsMvVq8u1ywuA3M5gs+sxYhi4Df4EwHVudrSuISe7ML64PKWyRgTWP1j5 fQPV5TXC5mZJV1e5OJ8nyubAFdW5KZnclz5gw4Ligv75lvKD48/4dn62tf3k TGHE82uaioYUXYj0np41dPRKZYoOpbZ31DBsNI0umKfMSzPz5qnGloKisuSc wtj8Yi6ezfruLfmBK+XWevBR6jqS9e9E9Qync9JCmClorgAnyGff8kRlF8eK 8rns1HA6P4SVEgZVrEsJY6WGr2+sAB0nIYu2aJlhigVoXnhEPBFAzcvLi7W1 xRvf0jdX2vKO2e1Mre7t6iyrq8trbS2aGOuzrRiQZxaA+SWzhhKTHp2as7E6 BqDCunUcHP19Na0thXMzijXb+JRxMLsgJgMio4PmNCWLyUiOSMuGUlQSM+ib 2+sXF+dgRuSq7oHhlqJKYU5hQml1en4xf0Q3CLqRX979v57hwAIA83IfjoB9 6slkJhXt7r7f2z+8uvwQbLqztz27NAMW5GfJY8ulmTmFMfarNSDL7fYtPE8c I8gmJTK/e/uB4g+edNpTL/LrIOK9OzVTHrnTHgUEJOXHbNjGAD68s9ePzM0o p00ylbpFXBy3aFZPTQ2uLOthR48RCDpBceLzkODgKDcU1/97r7CUwmr7N5n0 /Xvb1U27+XgJQwK7xba4uT61bhuHZRccDbv0IVgXMYmDjXJuVsVLz4yMTSUm pLIF6fqpay/J7NJU84CUmU4NjgpypwR+Qp/7OMTfh8oOZEaHRSUtLY6OT8hv 05F0Y6rNtQkAigbkXZurY4tmzfbaRFJuPpoV19xb4c18F5kYWCoVIoV3kWJz 4EBFefixnLwZb1t7KtoG63TTCBPIH5+d/2fQ0IeGPGtLloWcokQ4QCgKaEC5 RQmC7CilpnfapJ2agvAqgLKTRrkvLfp/OqMbeiBm4N98CpB9o7mzIjmDmpEX DTvXuKlZHEEWJzWT7RZJfhxEeRSAq+mEGLl/M0/wOqFsTKsc6V1a0jd112zu 7swtL4HDDjEW7gWyIl9CwOOajxrxuDnggl7hgrxo4S6kEHIivb42q6dHurFh /b3OKchpcWM0Pj0756QXSGpbXPDsxr7mo5P9goZscgravDCK6J7Q1r80YrWM TUwqzVCx4GtdDKACODBJCwdNQZkRjvigYC4OG0d7Gupf01hoXdRsrE9Mjvcj 1DFIlCZ4PzRQp1F3mOf1selEGj+kpj5zZxuqEdmlHAK4ZXt/73Yev0aDhuXw cH/GpEUKjAKVECCE5+H+ARyyuDwzpSDFhRhCSua6kjBR2fypiQEkm3tirFev 6wL3C0D1uKF3cV4FAJJONwQ5zuBINogqf228sa25rrlxa30cfDM3qwGa0dLy 9NIikAMjS+bR2RmV3qA9Pjk7Od67/GvYcpBZv129H4tB2E8xO1PbUZVZGn91 k4qrGtfXdLfDvzi12zcvL6xgjo6PwMI7hEi/LzdhvxJy7iugyAPQWF0rFmaz 4fgi8DTFa7RtKxa9eUHd3VuhUbdOjPc1teaL4ATP2FQOJYqZIEimRMc8cv+M 8wsBS8gB0SK5Uh65U398h/+7Q2icKB+5obmFqcq67JqGvOqG3JrGfDjuiAmZ MiQxWQUx4vzoTAkvQcAFZ3MMYuPZPCT+xAUd9cST/sDluiLbU0/qM09o0/z+ LdEjnMiC6KFCaXw0UpY0NZcpyudQYJ7MWzpxYnxAXlWKcXw4JYdZ2Zzbq1a+ xvlx0sKdIr1kkI3xw6jav2HpuroJqXub69PGib7ZGcXwcINW0269SbGETARL I3DVb0hPRMotgdU7OCCtrcsZM0DkHvkliQlCEgST8qJCo4LekVyCOH5xmcyO /vrpubHZhYlli3berNraNg4r6xXqxqVlbb+sZsmin5gaiOAlf/+OBCAKjH5p 95zJ3rgkbkqJW2gCI6EIsdLb1pabOsqyC+OSMmgltdnIsrwrwdbWVyprMzSj bQC92+3b+kmtgz+vvLX4eUDEfWf63UUFcNHrYNwTL+KHgikQMTL9n+/wOZUi vUGGpiRLmxoAGlw2jyybgfwfVI+2K+RNY/pepGLUrQvJZhmhp/JciN7h8e4u RPQ9X7zOCHFsfmtJ31+pQaN9cry7tGiApJZZvbIMr43lD1owXPZUpdXLC2sb fWkMHzqJlZ5pWrSdnV+cwxH4mkllUiEvEEAXnqsP0/sdPvAjErxI9JNgzFMU QT8m6xpqmpgctlr0thXdqEFhXpzoH24TFEiAjmlbmVixTFoWR1TazsnJkbru Ulfyi2KpgJMe6cd2wsClVRgCbIlUUFCZnCjhcMTEIK5beJzfMky2//+Ozeer NARPtvS0JQop4lsfeg5XmMMtrhTt7SwumiFBMT2tCGLGPkWR/uaKLmvuhqOM fu0pQGbh5PQICOf8kpSSmty0TAYzkZksBiozhxrPfRXK+skHe883YsFigx06 vzFryEY2bZ5fslm1xrHi5rrbP13AnCZVbXWPQ3zcKWHsVA6UEYYNciFhvKjh ACAByOQQgcouTNWqu0ZGBk0mvf0PrZPbvfQcWvAX23vXXpiT0xOqEFvbXjY5 oYIE6c3DsroC5bLBodpQhqZeLwPfv9+eSS8Vga6+xaOdCEGUJKxssEZcnB7M JZVLc/UjndYVvX60CzYitWigQkjNKmWzRtlaIRWxU0NzyuJ0Ix0L8yMzZhMv W3g/yCOtVLL/q4QAH2GAL7tx05S6v7/avASVFj062sXE0p+H+b/CBoJuPw7x fYuHwqgeBHunl2UaRruGBmoBOlq1jYE+g54bJwZAbw2j3U1t9aMwQAJ7DRC2 iwsjOxvjzARxVX0dAEhA2CrUfZREQWJu7sqSbs1qmJ1VT07IxyYVW3s7v9nD r9tuh+h2cCw2882fLpFQHyj56XwbbEBLZo1G1WqeV+1sm/b358B+tL83uwtz zSFnGNV25yDR17nXNUBHRzsQToPlpREAk1atY+C9TteVWxSLJtNf+dKee9Of eMC0kD8zGT32oD7zoj3zAgAGvDIfudGdg9nC3HStYezk9PImHnu7pbNc2pRf Wp1eXCmEFJwspiCLBR66NPiNWML1jWB+94Ycl5YQgI/+7g3JwZfmHwkhJSjS yYny2J3mhKL94EgEffCPjA8kERnJIQCNcwU4ngAHYFJ8BuluuV4mhJ1CooQR w7KGjq7SjEKe2TKPimJgo1DEuABBaY79GxbFSMEy7cQUJ71waGQgNColtUi6 ubtrWZmGuP5WDAZ9t1rVAsCA1aK/tW3edZdDZUNXxrTqttrabJWyRa6A+OQl 5Un9/TVhcSHeDE86H0NLCU8r4NU0ZGq1AF2DJb1rt2/B7vJt+A345rCxO/dH N/+Hrsw7MWDUfziQCLy8riHt5vY1hUtzR3l0UhicC8xLzWK1DDTdHVmA9qVN ks3NSbt97+IciNOdQcVQXVvnyLj8Ryf8Q3fyA1faNRxyoT3yJL4Mxtz/4HSj gdm/70K550J9G0J47kP751tS/1DnmhVSisGTq1C36A098uHGFcuH1DYkiVg9 2uFNC0Px3FE8n0eBuCBW8uHRv6zQ3r+nnZ4e6ib1I+OjprnJ2fnxmdnRmRnN 3JwGGRMg7Uf1g9K2hva+jugMgWMkmpJKSK+IhwgxPkiYy9zaTBcy6kVYgAPu IxbKd/jgR+iAjBJJU1dFSV0xWIqb67N6w+DEzMz+jlkzpl/bWDs7fQ/OcHxy BLRLk1G2v7cZkRgkKopqbC/wYznhEgICuS7sDIJe16uU1c/NjMDi61w7objO 9P+/yPX5r2kIQOrsb0gV04H6c52Sn8+LETD9qOzCuvrU3IwR/cD2+oRSr7/n F5lcUPn+4OhXtuO77ez8VKbs3D/Yb2gpTExnxghjGYmMHzxR2ZW10s5B5whO 26Dyz3QecYIiXKmd8sF/+DqzUjjkRMZzmHGImcz2oISBbR1AkUdoL3JK1KL1 62ehIrYI9bg8ozxm1qSdnByGdSu90fh/2Hvvv8SyvF30/7n3p3vuPeee9z3v mdDd0125ysplmSNZQZEs0YwZs2JOCIoBc0AFAwgCIqhgDoA559K79t5qWVZ1 T/dMz3RNz12f9cHthr332is+6xue75CkXj43q9twmZHFsVfVZR7vr20RR+dE Pw0NehOBe4gPSC3PnJ0fsVtVtY0ljd0yAH7U/fVmU49B39naJuvpruvvqx8a aOrorBSIwshxaHIcDicI8WYS31Kw4CavyThOdioSSOWLLfJjJ7+ASC/OLz+A Cfli1bUwqG5ME3NT8iNtFnVjp/RpaCBi7g5q8hXshQeOn4QGi4pStIOQX9Kq axxAu1F9u/VaoKQZaqySVZfV1E5NDveqW61WCCbpR/uf+LIBQNpcMwP0qFR3 /Kc7npGUPm0fHjX2zQAMadJmVUbpLJrL305QD7Fi3Pr37OzEONp7dLh2euI0 GXo+nDtsk2pEBwp5rGtaF+b1JmPnpFW7tel0OSFYZRkfqKvPhayjxVE5RdEp WSx5U/4NtwxAg4hb6JrT0qAQZ4l5PCHn2zcksJF/7BOJSBJuq70AknHHstyx TC8CG89MxjOT2MLsAa1qdd1545wCb1igEGAHB3tr606na9E+Y+nolsobC2rq skurUrIK+PHp3OgUHsBjAHHde0/JKsrlJqb+57MI/zAOisJ/EUh7i+aiaCJe SuXWjitKRGIl4ZrbSkqqk5mJ2NvQ6AYg0RMxVbUi7VCzpC5TO9xKiOP5MoIE olAcL6BP032JGMacHm9cQ8evJF15kB3sEONRj7BeHjR/UkKIP4OjGlZllxZ1 9Ta5VsYARrJNDQCMZIeMlg03YpPbGW7B8fqWQnlD/tBgY0dvVVoxv7mttK9f Xi3PUfXXZRbzU/JZoyMddQ15Q9rGy4t1gK4vPjhhLdjG4eFKQ2fTm9Cw+97U G/TyvTvDO5RDiY8rURTHlQjaBtt39vZBI0/aTNL6goIyYWYB5OESl0GXKUqs U4YLuK9aJvUzs8OQZg2689rV5+XW+sa0Bzn0kQ/oSPTH/hFQOLm3LDcs7mlQ 6A/uSOBR8ETaawzrsS/jkX/Yn15R/uMpKTotb9UBo6Mlo21qaGC4Zdo2NDOt mZpQ3zaqhE0dTCnFgkDe60BO0P0gqj+LKSxKPPtXNs/++WllZQrGRcZVWCnp vLZbg46XjEaTUtoo96MLPGmYziHF6bUw/GY2Xl5drW6VuFM9bkeufEYMfkwI 9KTjq1qkdR2d65uOVceESjN4enb+uV5sfm58Yd4KbqjUtOm0bUU1qfhYXzrk 1+YxtzztWJ6emtKdf8HP9P9PvziBaXZuYQpGR7wbZ/ykbJ4wkxubSknKS9Ia tLvb86enp4aJu6aDPzPZps2GseHd3c3U4rKMysYFhws01snpLzZL+CIwQ87E F+X6Mok5JWlvI3D3cf6EKConmeNOJ3rQiQ9wvkll+Z7MsNcRuOGx0ctfj1rn 6gA2aV5ZW15acVosI/DyB00gyv7OuHRxl7J9bmZkYW5kWNs7augjC6nfBHk+ C4V0f9+jvAFAAlPZ6ckKGGIT5t4xU495rAfxfI9Kyf9fbuFg0XwVJAjlhvPT cRHxABqFusFmS7AOEeVOJWzubIKCnJ2ffVIxkNfblRHv9vbaypIdMb6Sd7e3 qnt/5H3OLi/A9nN1Z8s+O6dhJUN2Jj291VQh+fG1fdctRlm0OwVNSyK3dVbv bk6uLhsqZAVViorJ8T6LuXd4UDFmaC+XVL4I5DqWTCOGAYtlaM1hqpDJ/scj YpxIDKaRNae5vq3hh8AI93D2GxKjSFp5vDuTVhotLBZ8DbZ/twtgGR+yTak/ fHBZxpRTk2rDaAcAgTesPgAsDaoa5mbHdrbXwUxl1Hc3KgorpRkAHaXmRKZk szLyeco+6criXaN9u21Qp2vPK441mYcGtX1cYawvMfp5IOcvn5oGgX+/ewfl v7yD9GuPfViPfZgPPGke+FgiJwfZs9+prZ3dLUV7dW5RjLhMWFSeWFSRlFkg yCkS5BbxfYmsyDiOuEy0ubXuH56BiqBVSEX5pbGRsQyZog8MycOjE7CvEYjI 5TWpYN1H4qoAOHQXIKUQ6EJ0Tml0e2dFsSRJ2pAfGhNBF2Iha3ZBgKRVggyx 8vrsjn6IofqrsktBlKd6yzApwc+PFexJCwyJDWrqkgB4XycXD6jrATZA3ECU qvqxMSUASPOzI3fYgRYXIAGLRqtQqyDO8LaO8oaWIkVrCegVADYD/DwyDEFo 7ZCiq0fS3FFiHOu4vFi7uHAdHS1Hpxe5Y2P8ScmB4dFuKBJoVpiCkuaGxXqz At6Rg/+3h4cbiuoVmhBEEa241s3WEWmD+MbbJacQoG4GaN8OJVS3rrXlFYcJ NDtA7wf7s5cXzvNzx8XFTp++iZSM5yYWPQ7CeIYRQUd64BPhwfB+H4H/3p11 35P151cUHJdls6ktE+ODus6olNzINEHfYKMDcYSB4hR0TMBm22BQd3VWgTMz 9iFQFaAn20DvNXRgIHdyTxTf+ymO9pL0rrK55BIR6f/WTfyPTJD48eBgW9qi KKypVHQ19Q60a/XKZdgwG3Iwmdfr9V0l0nRuBhEleK/Sde9suhyOWcStBmZw /7CxvZVfW/ye5nczr74KD/ZmhfmwcGWKypsnHR3tfWYMcFW152dnN19NWIej 8xh5lfHRObQxm+HyMxPbv9PN/982gXozT+iKq1JzimIyCz76miGm1PEiTllN Rlef4hSKLfuxaX5RTf/0Yvf3T5vIrY+OjkLi+VPTVk5a9F9QXjgB2CAno3jU CoX8SUgASsA4OjkeNI0CpDQ6Mf6rPPdHSnO2vGRdmEciL+s3Vs1zszpmbAY/ pWRAq9OP9oPhM6xVphSnEqKJ2ChqtaLcPmf98GHtwwfH/NyI2aQcUDVMWvsh J/c1M+j2PGGOJ4H3Hh9Jj6dFJhNSxRxaIhkJUHI9slADI91fqBVoF7l+fLw7 NzsOpmuwwd/b3QINIWlTfI/yEstrRiymL7ULAqs2AKqStxUJ0sO4qSEBkZgX 4dg7du/gE82FaGY5WQkljaVFklwUL6JGXuRYMjgdY3OzWrDrVA/Wv0ZxxJUF w4aG2ZmRzVVzUl7hfz4nvQzimc0D+5sTJbLqb/xITzD0P/mEZJQVN3aXgsnW vjB1Y/zzFSSoGLZJ3YBKPqprn5keRuRjt8OwDqrlTscs8uuDg93lxUlFa3mi iJZXElvXmNfSXtraUba0OHobHSGBufNLYtp7apX99a3dHSkFLW/RnG/f0n7M MBvJ37vToYDILyIeeTMq6hRW2+L5+fnFrXR+fra+tqTVdpRUJhaVCxGz4Yx8 iJwnLZcD+0dEZ+ZzK6Xp7d31aXl51bU549YRnUG1urZ4m8BBZ1Kr+utERTxG IuZz8RGSWUm4hmaxtD4HAGmJPKu7p4omxDKTCFiuv7AkD9xncLSHHBuo1Kou v7Ld67WxmbG2s4qWhvOLBEu8B1jlJ6cgeVFbW3lPtwS018LsCMDDw7pm3Wib bVINAO0djASb4ugQJkwAh0DWDjUPDkDgubW9DFSgDg6z0t1TMz0/fHS0Aob5 5cXq4eGCokupUCoK6/IoCfQXODwCkB54Ux75QxGv3qB4rNj83JLa/uExg0nf oCgBcCgpi4EYrV3NzyAXxmQWx+pNAyarVj3Q0KuW1SnyrJN9l5drACldXu4q +qurW0vwkSkvST6Pfegv8DgPppdXpPfzINpDb7pbYMQ9b3Jbn2Rnc+bocNO1 MuZyQPStYOQixsbgQK9rX4GCixk6O6vGjN0A5FvG+5wrY0ZTV2tPxeyMtqg2 FR3l7h+JfhkaBsCSbf5HaUv/VdLHsfTj2ijkC9f6mkbXY7YM2O0ajU6pN/ab xwenpnR2+1jPQC1a4IESeGAEXoGcN6Wy9Bm78Rhml0Xqx744h4uJfEwIehGG QVzYAji40Qnd+tbq5WdY6EsF+PgVzAN9cXh8eHiwu3dwO+TQVzTi/mnpxvMC +e/m87P55xMj/FunPum9+wd7EnlebnF8ljj6ZvQhEqTUHF52cWJdc1l9S5XW ZDq/IlL7ZXV+27Tj5viWXuAX3eyvPMixtgr+tKm6mvs65mYtCXlJUQVZWztb 4rrqnT3IWOjw6Kh9sO9Xe+Rn6cP5ucsxgbiuT9tHXCvGqSlNn7p7acH01I8t bxta39jQ6IZ0ul6LebBKXru56TjeX4JNEXYvPrhskwPImqvXtpoMXXmllU1t dW3KEm4qgS8KCYkmvITc8dCvwz/a9UF6rpBANJ+cLy2pbm9e3dy8vO4JFx+O Li629nbthtH2gor43IqE9XUonu/8yhJEDIX1LVPIYe3kp7MZdOn+BUS4NAP2 lKJCLiUuGCcI5WcwPOmoG58LNxLaj4nxpEFypEd4//sY3/s4/8wSkc3Sf3q6 fCXqv1hvaCkg0JlvSR7cTKJutH18XBURnfant+QHnqz2ntbN1fHorJxvfElP sfRHaMprIjWQ+54lIl0X5KsY3efn23u7cyaDcmigAWBXsEaApvnUhB6c7Du9 oqmBKtM6ZcwriatrKq6uzQLbbZfD/LmCBqw4szOawnIh2JWMW7UF5VkBpDB3 DFglv8xQ9BdIfAQxFD0PFARR0oMoGShqOpaRvuzc+LzMnd01pZXJMnmuuDQh LQdi6oborwsFZdUp+tF2u21IO9LS3VunN6o0uo5J+8eYdwg5/804tdkM4vL4 yBTCbYDETMJdiY8S0CWSFKWyRpBOoiWg8spiQbVwUonMRAyKi1t0rVrs4zFZ 4X5MdG6t5PJvjRP9D0rIC/bru7jZ4SWN+awMYhDvHQDn+RLh0oIBAABVvxzA pNlpjV7XptO2Wif6HUsm+9QggAc3xLmwqTakLR0fUwLwfBOWF+kYyl5peU1q V3e1XtvWrayeW9RCTB0fnLCL2SE4psQm/ddrzLdvqX95dx1QxoP2wJvqHcon sdNSCrLTKgVsOCBgeBwaH42hCEOzPiVLySoQiPI4LT3yYkmKWlXX1FTU0yeb nB46OV4EMOziAjxr7fh4OTqX9S6U8L0nOTaDHhqLQfGC3TD40JjQOFFebXPb hmtsZ2d11WlbmBtZXjQCUDQ3A0cTWzbpRlqnJtSrDrPJ1N3eVu5cNoHXt1r6 Vp3jyp6ajq4q0I1TCjm4WK/QmFgPagAxwRvDZ+sts8cnJ1u7vyyc/VeSPg+j /OMbfOjk6ckOFHYNtjVt6GjE8/mtndWlUlGYMJiShCElBCIOZUXyzL3dzTv3 Ac8KTeCBCRxscl9C4iN0eCK6RVUPxSL5edtDRBj1eYF/9uv+u6S9w490MV/E RT99+bCuL68kEdJuf0pY1NhWo+ioJccmUBKz/+UYorg5aXqr+ebff8KCC9bH lWWzyzm1sTphsQzKFY3lMtk3r6nJebVDeuviCrQ1ODo+39t1yFsU2WUNl7Dd L5jKzs6Wz88cUxN9Y4b2XmXdqL5r2jY8NjbQ1iPNKY/NLo/zoGGeQCo5CJnc ITFAsl8kiZctXFlzIqscLPc4hm1Bdw3WrhCBd7qYO27qXV+bTSzOekYMfhYa rNYPIcUGQ+zw+PgaPO+dHM9PWPoH+uuHBxoVrcWcVFxURmhUBvUFKfgGHb2n YnyZV/HjXpOx4ADNp4C1YMKmurxcPztzgfsAyCetz07LYZXUJKfmcajJaBSD /TSIfc+bChb6dwT+9LQ2kBX9QyD5MYb6CE0LZKMDOK+qWnOtM3rnuusf3Vg/ M+3uLGqGwZL3UWSEmB7Bx9DngEo+ZupHfowMNKN5OL8E8oDTGdWDQ43O5bEb 2r0b2xXIDNjUnVsUk5YTWddUNGU36Q1d0vpMdkIspEr71McfQKYXgUyQH/vQ fnCPeOhFTxcXbG2vnZ6dn8Mk/9tbrlXX/Nrqoss5B7LBqGpuK6+tz5XJc2pq syprRMUViZ3dVQgrMnj05IRKXCYUlycVViRVSDMrpZkTn7otIHPI4rw1q4gP sBDi0c9KwrGSsNEZ4cgxLy20u0cCIDRDiEF83DRDzZlF3ACmd113h31hjhgV RBMS/diUta3ND78S4f+vlZDCSNtV6eXiWDE9pSyGnRmB4r8XFfCbmorttkGA AXQjbUZDJ6iuocGmusb8lp4yUHsLsyMAISM6JgT3Amik6q8Dn7c6BtxPhlsG 1Q1lNamF1UkrTjOi/7q8WNvZm1GoashJ1G/cCQ+8WPduhUe/B/Ndg9Hxp9eU ByifJ3jPJ5hAdwL1FRH9jvHeg+kNcVGKo5CdLPgEgIeWSOJn0QEobWopMuo7 QVEbW4r2D6avhUg7pvFuUT5bkMwL5YflFEFEBPx0ysuIV4XyUrgmPhwf7R0c bEERCub1muFmo6EbNi6CkNKAugGm9zECrDiq7wBQv6W1dNzYY5saKKlIqW8Q t7WWE6J9ovKZvKyYAM47XLSXF91TNTocGpNR09pz+S9FF4l0CZ2+b0DbNeeY WXLO3+bMv/hxGvPNjaXFBf387Gh8Xgo2yhsX7YON8grmv0dBtuueCJ01ORHN TCXEi9mjsKP9jYgA7L5E1WXuVFRIXEAw3107Pnh6dvrTIjh4er/Y2dv6jAfv CyKRf7e0d7C/AqbCleVB48jJ6enB/ubJ6dHUrLVZ2bi24bj9y+Pjo4WFqd3d T7yB1jac41bdbZ3mJay/TslmpWSzk7J4ojze7U1KSnZkajZTmE7V6Psufzk0 Bb/f2dnc3/+VqWx+4nGX8EYV6X6Hx0eX19bIF9fcx/9Q8S94yv4eFOW8tUfD iMl4Fcz748uIP7+i/J/foItrIOLxtY1VxB+qqa2iu6/i5AQ02V5LZ3lpdUql TNTSXp2WWyhvqlW0NbZ1tTS3KywWnd2mFlclhESF+DExHlTMa/InDJMIJebb CJwnPbRQVrixAXlUnZ06DvfnDvanN9dBB3Dpjd2cZEJBZXxbVzmaH/6YEAAz Zwb5s0lNXdKWvlaiUNCmRrjsdjbWrWCZQwxsRoabAVoLF4AFkQAQmhvxIwmn Nx3zMvxjMcBXPkw8KQbHyohmZ8WrdaoP52C7tDE80tzdJ1H2S6PTIrAx792C Cd97055gKX/xoLqh2IruppehrAcoKHrLQxTNix4YnhjUpirHRVOC2IlfydS6 uz1ze9W7yZBtCURU1TY00OByWu5cdXoKcSGeHB8sLZg+N+5dWhx1LJmmJtVg rEGG3EXRh4f727s7ckUhP5H9GsV4HsB47PMJQPIlRgaEMWkxSV19HX2Dvarh rp1dRHYE84Mt2/v65YODitHRHoDWJizDBl2nZkgBFu4BdT3IvUqZcbTzxiFr dlrT2lEGNkRg4IvyOClZjHKJaGsb6rq3MdLh4V5hTWpYtG9SHpOTGgJAUVWt SFKXSReiIdSUGgLAEoBGsFgJG5tJAX0sLov+mhykNowmF8UxhCi3UN+ajuZ/ YnP93IS8ZPew3o8hpCWLuNk0fm4EUxTW1lNpMnQDXDQ1OeBcGUNqbN1pae6q COC8jS+gjVt6nUumUX27fWoQMUwaH1MODjRoBhWf9ZCmHqVEO6QorEqcmgGb ke2zs5WLi82peS0vNzKlNP2pH/e7t4wvcoHe92Q88GZ8/471zSvWf7nRn6II qCjf0GhsfCYjG+IX5eUURkWLaO8YnkFcX2E2tVya1t9Xqx1u1mla1Wr5+uYU REbxwQHp8tpLEkW0lGxaRgEns0CQVSDARwc/JwX40OIrm9p29iAMsOqcWpwb WV+bM5uHbZODy4tG8O5aTbPJ2LW5Zu3sbZLXF22tTgyONIkKeNX1Waml/EDu W0YyVpjDhOJcxPnhYrwwUQAMeGOjPULi8N8HkJKLa46OT77mJfuLYoSxCR0+ yoeRHgpesKwpHwD7zqHmJdfi7Z/dvhAsL7MzJtfKaEdf+8tQQlh8wBWX9XUA WST7c954Md1ehn8/aOz/cB2+EKSt3R1MNCupND++kJ1aHnsnds9PpMqWInYG ubJJrBsfQoDcV1vP/5yEvP6CY0XRXW8aV2v0nZNTw8uLo3Nz+rkZzcriKDWF D8Yq+I3LtTS/YOtTKaSybLm8oK2rxulaBHipV6WolmYVlyZotd03ai/wubG5 OjLaL8xJ5idHpuRA3v03AAkMw/Q8gdYwfH7+ZWqyny7twHBHeWVKk6L04HDv GjP/WzRiY+fwf7tPiBVJNKOTDe1DMkXXiHHk4uJIPdwiqct1uBYBcJU2FBWW C2fmhtq6y9NzOb6hjDdovi8prrFVMTisHNH3jxr6ymTpCXk8PyYKy8MGsbGe dMzbiI9KLgBLnhGhg4f4gGckVEg8u0xeaJ9Qj5m6kRiXg5CBaIuyVxYlCmcm 4QJYQY9DrsJSIxgJotYMCybGsVSaTqtdMzer0Y+0IUFDwPRu1LVwE0TfvGZE JjF9WdCzwNNBGa4toD4RYb0KR72LQD8mBH4b7JVemrG/PQs39/Hisg5gAGoi lpGC9YsIfYWjPMFR7nnT7/vSHkGCI+pN2N9Ajg8xwTuI6/etfwg9OdcwYfut mxFKhweLYN25jYtupElaTeuMfVQ7rDg5Xrl9CWwIBBk7O5bHkdjKd5Vr05pp 28DmxqKivRrgk/RctlYPmc1vbTmzijJfBnNeBXPcAlhwIC2IteYHd+Y3b6DQ bAHhvOJK0e4VNPo4lsAs3dYtq4G9nIorUyukmSVVyQUl8Qirs7gsob2rwjre dyuoE6RFGtYoiiuS0vM4LZ2SSZtp/+DuRmb/cFdUEl0hz8oo4lMTUHVN+Uql LAoCRdhrdRuWmxrKTychx8xEdAAL/TgEjeGH8tPwGG4wLpZ3fHI8vTg3bBq9 /Crn8LXNLbaoyI8ZT0ogE4WBZfUZq45xyIVtcmDGPry8YAAZtJfNPhCTF+VO eUWI9W5RVjqXxgyjHWOmnmnbkEpd39RSpFLJb/cTJCfk0NIK2P19dbvbtpOT JdizbO3oeKmyQf4WE/UcHfbY/1OO61tg6Xt35nMU1Y8WwUqJoQs5FAGjsDI5 PospgsVHoFkFaZQ31HcAIHV1Vxl1nWBT09srbe8sL5OmZZZGzy2MgA61ubm0 f7BnNA8NjfSUSESgp2Xk8wO43q/Cg+8HUf7jXXBDV+/Z6cHCvGF1DYoBt+qa nrZp11ZnAfZrbi7TDDdvrFprFA1Dw+0d/TJqMhai04kPpKeHYKJQ/uygAO7r AM4bako4WuADIwFIYBLI8fJluaN4kftX7gNfXaPfpNuLGrJCSTvKfSJfhsT5 A4TjzXyuNQ/IeyTJpdGStrL17bXP32Vh3goQ8oxtKL2oAM2JjsqmM1Jw4HL0 7WAfAs+YgsjK5kJZR8Wdy0/PzpZczuPTk2XXwvzK7OVPVhfy1dn56enZydrW akhcgBfDzZv1Qm/VXsKxbL7mqv4npKPj45mleZfDCuCQC+xuFq/E9eC4qUsG 1jvTFOT0NzNtAbhIUpNRW5dbV5tbLRHV1uY2NpXU1GTK5fkyaXZzW8XnNVlQ mRfGpwkzeak5HLBJyRbz4VAIvIKyhNl5aKn6pbKXk5PjxuZSiSSzvqEQAKRf rRZ+dvpN+sqNIm/UbAf9+NY3kPnB5uZEThEkIR8ZVQLw0D/UkJbD7umtySgW vCG9bWqXrDrMU5PDk5PDtinN7LS2tas4tTjRnUYEWAiO9AqBorcRGB8m1peB 8Y/EBERifRgoqpBZWJM/YVWZDJ2Q7wxsFwoQzqC6cWS4uau7kpdKwAvQQTyy OxX/nIS6sV+CpE8U/DsK/m0ELrYgCeyLddpWJJK4QddSUVP2p1c0d1wkL43o RQ8CAAkvwL6BRVjvqV+I5/IqHAvH4cV40gn2WesZpAByFVUIB7XNtR1iclxg SEzwSwLjIZryDBv+MIj28BodwaF+KT6M4ECujxshzA1PdSMQhOLqy9/UcAUZ I+tr8+o+GWyY3TDQLwcwY3nJDCoWLH/9SqnFPLC8ZDv8BFpAV22uzzlXrC7n 1NKCHqEdvg2QZqaHp6f1Jyd7Jycnlkl9pSzrGA74fglNmOfLzo2A8JT/dg/3 PcRvzMAwWGGcqAeerOcBTDd/5nN/irgspbtPPj1nvS4ktBUFO6Chke60XHZK FjM1m5mWEwmbHnELSuMnJ9RwKATjHTUfwEgQQ9fKDMAwl9cGirdnhpPT42Xn vLJfTokLzC2L1Wlak/NZACkJ0sNiMiM4KZBMSSAKA/8C+M1NxYfF4p+R0B40 DF2I46eFuJP9sqshMu3QBEEdHMblazPfPYW5+3QWtTvF348R4cd5FS2idLVX AWjk/CRcoHFYpyAn4gI54cSEEE+Gm6gsdWpqxGTsGlA3yRrEre2lPT0SpbJm eOgaSA+CvUlzpUxEiQ9mCNFW+8j6xoJ1ckDRVpxTFI3lY18S/TzC8S9RlBs4 BDIAwzeq1e/f04JoPAJX4BHK9gyJDeOm8dLovJRwxEI7q0BQKUkvrhHVKQoR 3N7WUS6tzwYgtqOrUtVfB/7tHWpq6pEsOxeQlx2f0CVnMtLz+L4M7AsS6jGW 6oaj+1GZGn1/a0fZoLb36PhIp212Oef291xjJmV9fdGAuv5w3zFqmezubyXG owN5b1ECj1hxZGRGmD8zyoPmx84MU2rb82VVnvTXhDjvAE7Ai5AQX0YkJspH MzZ4+Wuy1/6VhPTaD9fWuT8xbSA9/OBgd3HhC1swSVupD+slPsYXG+0TyH3H zggH9UZNBZPkozxZ+iUko5hbWVu6fZ+d7bWNDdfC4mRDV2VhTUpuRRwvIyyY 74Eo13BwyI/IjPDU8lhJe6miv27YpPqbX7Nb08YSkcDd6GkhoJCh8QGk+MCq 2myj/m+/5+8gIa29vOpKKs4Es6tj6aO/MAKQxLIClICB/Hh13dE/0KJQlNbV 5YEMwBL4rK3Nqa8vkEqzu3pqj44/iW8FT4sfZO29T3DMEB6HGh/jTaEHM1np eRBMqqwr3vprgdLulhaeZnd2t6S1OQCSAXjW2S2zWnU7u5tH1wvB7zvd1BUY rfOL04YxDXzmw/bObJVMJMplp2XTa+qzCmuTyQkofkpYWgEnpZRttHaqtb2q wXYkrM/MjLaupUBcLUwpiIyIBxAF40GDPOtfkSGqcABU3kag3akALGHKZRmm kTZVv/y2gxXASADk6LWthRUZtARUXHZEijjSh3FlOPRRSReOuYfxC0/iTdsH ESMKcBMNFDekwZMQ9SKQWyEDkC6UmcoKjwvF8bFPQ9GeNEiQdZskH+QnIYH3 sb7PScHPSZgANq6+RSZILe/oKa+Ri8FK29AiJsX6e1MpPwTSXhFJAAUBXPTk owSJAsMk5Jh+P5jsRY3a3t27/I23n9CjT44PAQQyjHbbpvSL8xPjY90A/hj0 3SMaxcKccXFh4vPLTk/BjvDQ5RgHexmw1E7bhhAWLCQjw3ZjfW5uRrexDs20 iG7rduodNFXVK5/6cp75U/nphMgkMoHFYcexeYnM6GRWQVliRlHczPzk5TVA AgeHh/vt3bL6ltLqutziypSCMmFOUUx6Hie/JG5yQuWCIyN8TuOzMDfidEzs 7TpNhm6dth2816RViywxyOfImJoaFxiTSQG9SyLPLKtJlciziqoS47NpCMM2 bJiEg1m18b5MgI0x7BQ8yJHJISECf0lTXnO/Ei2IADs7ODTb17XDRbxd1jZX IzNIgVx3ThpJXp/f3FIibcobG++5oWWAtWxWk7mLk0GStFdXtRS6U5/m15SY LSPzswZQRaB+FK3F/f11N+QPIIPjvj6ZaqCxX9MhzGevbrpWnIsJ6dRsMS+I Qvvz24gHPpR7XhTIQtuded+L+siP/BIT8SyQdoORvntL/8MLqjcxqq1Hsbyo 61fVDg425IJmzeUkZTMLKxKbW4uVPRK1Sn5j9WQY6QDQKDGXCYZ8Ql5kY1e1 03XlnAiQqnpk6HUI9TGa9ghFg0YcmvqGyCisECn7G8EPjg93tNoumPD54uBg T6VqGdV3getYqUUelFC0wC+A48kUkZJKeax0fmCksFCetbULeYUMGNTY6Pco XqAbnvIf7/AVTR3O9eXf3NEfidn8Yxa5ANg0NBYNjipvrOMWF+1Ox7xr0wmJ fQReMLzx8WO/zi2NK6nLCuC+C+C8mZyzlDTkljbmXSLmo9fb4RxpCvi9F+uF B8PNO/IV+DEiOwIQy4/zBmR/zhuAq99QHqIEnnVdVbd3CredmL78Ihcfzj+c zyzZsiTJ7Ezye9pTL+ZzUDBwf1oSNiaLmpTLzC2Js9lM4BWO/z1W2B9La1ub GqN6bkZ7M90tzOu3Vq11bdWezDDjpHl9w2mfHs8vji0oTZDUZAJQhMAkOOdL pVkdnTU/pug022bMtnmyMPfPvqSHaHpkAkuYTm7phsbOL0FHV78EAxMGZgCh 5VdVpecXxRRXQGL/KZvpF93wXzQhPn/gYNkxD/aMsobCUWjjsHN2tpxTnEiL ZYZE+5DjAxnJ2GDB+0gR0WTuWVwYHbcMWKyDUJTM2RFqMv9dBNqLgcPww3xZ IW5E1MtwAI2uvOxhfIJ5iA8IT+KPj/fpde2junb9SBss/2lEckllqR8xBsy3 jIQIcjzeg/oJkRHCZfQsFBXEITa2lGuHFOp+ObgKMTe1jqsGNcpp20hXnzRF zO7ur6ILCc9Cgz3puCA29gZlvbwqDIoQyyyuFWeUJf+A9uJlxs3YtR09He1K +cHhntE8mJpN5yax/+wT5kXleEUwHqHDnuEinuEoD1C0+8G0l6HhT7Fg3oYA 0hMs7S/+4YLsnOrWaoSc/2tISFA20KJGg/LocHl9bV47rLi8QHjUP2q6LiGr 1NNRXadjZXp2Wj8/O2K1qMBCidirWMf7zLBSZnxMCQ4A1tJp2y7uClWuCDxN 1j4il4JhhHNSCMwkTHg05g2WEZtRbhjrK61OoyWFq8cghtU7O/QLOBLc6enJ 4pJNrW4UQ7yC/F6VbGi4aWpq4A4LE5hD7FMDtint+trs7LQG9BxQ1EF1/eaG 8+rOFxcGq6ampSQ8SRCTxY0WhUkbxGliDqxfg/zaWLdc/gFAosTjGIk4GB0h TJLYlv52UgKLmUTwoOGtM9Pg1c7Oz78S/8TbU1CeLM2L4RadSWlrLV+a19un h8A+FKKLhGPRAqRktfatOiyTk31K0O7wRp4kDC5tKEO4xSx2U3w2FQwfsCu5 AUjaoeYGRUFjS+H8tNHhWgB7Q9DWja0V6bmRTCGFEU+lJxLfRPi6YXEvQwOf 47DPUMTHfpT7Xreo1N1ZYPD+1wsimsUBAMm5YnaujHUrJeKyhKQcZoksJaM0 urmt5OahMDurorOrSlTEyywW6Ed75mZMQ4MKmUJssADce1Fc1/SdXxgCjZAd yjsS/Rk2nMAX1LS0czNLzLbZy2vxS2eXbH1tZXVzNzAyPiKJ6ENHB/O88mtF SSWciMS0XEkTUnVnsNtXhaL8P9093cnR7QOabdh/7Z88w+8dQCHIDZZx9YgJ PPn4+KcY9pCyTVj1wZFvEKvpS8iQb5abGjrvmCuuz/FmPsfF+AIEAvBMeHyw vKk4IgkbxH1HhL3SYnLpt++zu7PRqZRW1GXmVSWkFfPi8xjs9FBwLS7aO72Y n1MRl1EaheTUIm5+daLVPICw7v+iKto92OnXdzd215TVZRfJRDG5DBRMIxDE dw+CDcI5acTauryVlTkY9p//+xEfwYL0kxNRdWmXqmHNOY64moLxu7w4Ojbe 7xtJTCjKrJSK6hrEjfWFpRUpWWJBeVXqLYCUB/4tq0heWp65vHZJvknXuoyL sPjMb31D7wWGU4SihrY61+rC5S8MW7a8MtelrIeeWHv13BpZtlSWI5NmKxQl 0zPj/zYNB70mmBgBWE3OpIOcXxU3PTtMiEr8s0+4F5VCiEJ7hIbd9wmhxiTa bUOuFdPupsUJM/yDbDL3kxO593H+z+Bwcp97rsGKLfTrCOyArmN7bRJc6HKY pibUAN6MGXso/LT/9zHpkTcLRWWzU8ivwlHPiOjbfvoQ0yMVE8jGEGNC2zsq wexqHutxrJjAsg4wElg9tzcs6kFlhrjAbOkBxWMkUf0iyXE5zJAoghsJ8yoc 85qMfRmGeUTwSy/LWFk07G/ZlWoZM5WpM/T1qTo31iHZ/ubWWkY+Ly0nsrQ6 NTonF8+Lfx5CCuT4vQkLA+joCTbchxbmho/41o/84EqCRH2KZXzrRxBk530l Fp63ywDwD7L729x0AijyafEgDqKZacMQTIMDEeNoWkBNAtQBgCtCDgCOddpW ZEUDgGRAVb+yPP3pa0ISoda++hCeFyMxmJ2CZSXhYrOomcW85o5qpbqzsDIl rzA6VBDMyIw8Pv3ECHZ2Zsww2j1m6oMEXJCBvbSyJj1bHC3K46ZmR1bLMmGq w7sW46DhZuyaEQ1SKqhg42PqM9jIHLlvg7LrRRg2LI7EywDNj2UlYm5wESMR z0qCYBI3FR8ShQ2LxQKYBM4geIkUi39NxtGEOF9GYELRrxZM/NdNS845eVdT SUMlLsYbCoPO965vL5K25kubCyYnh0zm7jWHeXvNVihLThAzlxb04HhvF1rd JmbH6Wn4qtZiRCqeURpTU5eph4z2IRGuZrBpQN1oMvQqWosLK+IsliuP0bml 6dScyNwigbgkhpFE8mB6BvC8/SMJMJMDC1a0fTTVdsPifRkEciK1VVkD+ULC lmMg26YGRrQtXT3V7Z3loI99Yhk+iNAxNQ+oGxqaxZLaDJCr6jIcq4vHJ6eB rNhnOPpbIs0Nd6Xghgcd7YdA8rtwTpWia3UDCUEO9fm9vZ0LGNDaF+yBHLwX 3S+ukJldk5xWnuzHEM4sLV9cu8OAS5adGzG55QOjV5QR/8xhi4zH3PLmUlmX rKX7/7qH4aYUYZmpomJZU6d6a3enpqPs5PQTuQoo3unpMSh9Tll8TAHr4lox ly9NSyqJWlpdQMEKshsLIlZqCDkRDY5DYv2C+e+xUd4u2CUKuWp61tzcWSlv LY7NpcXl0ZPE7JgcKnItMy0EnEwsiBSVCDJLowuqEsA+dHFh8jMHtC8nZHTv Hew2KKXiusxyhThfkpoq5oFic0WQFg8L6+8Qg/DksujDfz/x0U3bIVtFsAv1 Y5PmZqFoXyCvroyBPDujHdZ1TkxqDo6ObDNmUR6nrDKloV5cJckorUi+DZDk 8vy8ohilqukcYl2+24cRoej5+Yee4dFhk+VvcCMChbVadbW1uVXV6XV1+bef C3J5ZWqfSjE01NHRWfM53cTvMiGkMuNWXWYhn56Ewwg8Aph4HDfem8r+PpD6 Es98iY2450t9EsRCMeJ5qdmZheWDwz2rzrE1J2jWERSf+gqy7UHDsqO78p+X MDX9dyjvsDimtKG4W1k7NABNktO2IbDzNRhVVdLaqroSdgoaxQl+GgqJet5R rnzfADTyZ0FWTG8jUG+oBJW2bWvduuYy26x9qr46/UjrjH14ZcnQ2CybsA51 KbsU7ZLUQnZHb7VAFO5BI0AQKzT4HsbPjRiUW5WFRCWACGHGBwwG1fycbtSo 2T88AbOQRJ5bWJ5QI886OlpxOo14Pt4v0gcX5feCQP0hiBqZRCcJmC9DaAxh 7JtQyBgJTNdPsbQ/eIYU17deQr3xtwdIPz+B/m/QIyxJV2DjJo8ZuxFchNjP IwcDqrpJ691QO+CFe1XyppbCeoU4OT+SLkRzUgipBZy0fLYwg5KRx4UDJgrw gmCFqvny1mJ0eLS/u7txcLC7seGwWobLqlPToYDyUQh3R05RlE7XuvKpQRSS Z6c1t9dZgOJG9V0gLy1OgpuPWEz+nIjogqyoLB5diGKnELipkNc/NQGSFyFY KCIe956KvjmDnARn0FxMtCjUnxlY0dxwcHQ4aNLLe9pdG5+4y/3zE7IZNNvm mWlJEcnBHrQX2CgMWAfjC3lMEdj7v8dEeYMlkiwM92WSOvulkuZM8K0/5y0n M6xVWRZfyJqag1SrGzvrYHkdn4YYEhpbS4fUiC/bVdMre2pqmsQGY197V2Va EX9zex08tq1LkpLFyoZc9QUxGVQ0G//Yl/Y9EvXD4xOPNsiXzYfES48zWyFl 3/zciMXcOzjY2N5eAWZU8IkgMURWfAcjIVBcqZQODbeO6Lq3YO5Bx9o6M1Xs S+O9DqE9xtA++kegaQ+CKdHpUdaJgTvtgiw9Y1Nzj9AEv8hXg8a+ksYcncXY pBz6seb753NoI2q0hGzZUz9OOD/nz6+p37+n/OAR/h9PiH96HfEWG/WHN0H1 7f2Xn5rAabU9c7NWw/iwN93NOAlHVb64MI9r0bz3Km1nWlmsP+fNjScaAEWg A6AEnnxROCHGl5kRtuRauLzSsl06NxyMVDwxPgD8APwygPsukOeOXBjEc4d0 c9x3vuzX2CgfSXPR3+DTXdlS7E59DOrfh/XCN/KVP6Szex3Ef4/51A4cF+PT 3i01jPbr9L0Gg1qv7135a1bfv6cE8+Ve7uzvlzZUT0wO7G1OyVqqIkXRBpPS tWKyWAeOYV+/45OjkurUvOLYGmkWgkyuIAqkX8uWSLNkspzsfP4KbLn3V6sO 3p3+zOqFDTZOjlvbqqTSrE9Ve1dZKsuurE6vqE633+Km+90npJLbehvC4wJD 430APHgRQvQg01+FEh+hIx5hKY/R1Hte9D+9jfifz0j//SHxmT+HIhA1tDQB gDQxOWi2qmSt1c9Cgx/hIfd8SGjz0Q0tGBdFSStKi8mO56ZH13fU2CYHDKMd 87MjzhXThHVYPdiRVshJL+JFJLK96ZArnBcdskF6EwH56b8iX7EquZFQ3pHh 7co6RWtFekn6uKXfNNoJa+taFmYHh7XKpjaFaazXNKZsaCt4FxHwJBT1NDQI H8PMqsjuUtWDB42PDzpXjOCzX91lMKo1I8rNLcg44eBwX2fs29+fOTpauviw VyxJwgo8iQnevnTSd340HwqBFU/51gfX2NG4sWaPzYh9iGK+p2DcycSHKLJH BHd6EfIO+6oIBm/SFw0b1taWPndlupEmIdrP2ycBCDn4aOANyY5OTo7WXPNN rUXVdZmQ8KEqkZdGBJiEkYihCzHgmJ9GisugZBcKsgr4sRk0s1V3pzBO59y0 bVSj7cwpikGgEfgU5XPFZQl6fdvn6GhuRosoZ280NeBAp22zmAcW5iE78LPz 85RycUxBljc9mJUEUUSSovxQPFJYLJ6bSmAnE1jJeHcqOjQaR0/EMZNgJkmw F+BhfZkY8AMAlt6Q/Z+T0MF8+iO8P+jAq5u/zKbxV08IOWpJQ/v/8yrAh4kK iQProAdK4E5KCCEnJGEEaGz0e3yMFzrqnQ/L9ykeHZHEDon3C+S+AyugJzXY m+kOBvLQtantkmM2qzwupYCtVskhGm11Pci6kQ67TV/fmDc1Y/5wfrp/cBXV urq+NDOPLcxiofiBfhyfdzSvt6RgnzDGfQ/6X96yvnv7CUB6Ekh+hvf15/n3 Djb09tQ0NhV1dlZphpvVg/XSxhykp+m0rQhH5ecZjN/2bkmxJMVoUp2dniw4 VmNzC/D82KeYiIeoK432Ywz1XhAVz2Fl5EWaJ/S3BZIX12nv4Li+p7moIfvy Fsa403rIRv63GarwM9OLJP/xlPjtW8o9D+a990zw+cCL9dAr8n8/D4uIzjVZ Z2+/2t7edkNDYVentEUp86A9Sa+In5y3FNekD6lbhfksSgKqoDIpWPBRiISN 8gY5mO9BS8LmFEaNGD4ywyO3HdC00hJRobF+mChPtMDjBllBF17ZaXuRE1GV dRmrcKzGn7Pygs+jw32tsT8iCRsaF4CP8QUQCCJZQqRGUd53AFJIjF9zW6Ve 16vT9er1/RpN99LS9M951r9oQsSbhfVSRV/39akPe/t7nOw0TkZMeUOpF4P4 hBAQlc6ftKgO9qE9AiLwHNH3FhTHympzpLKc2/hEJsuukWabzMNms+balOtH rMI+fIGf8+ekk9PjJsWVu1y9vKC2NhfkGyGSpCYTbJ0KShOMpkGTafD4ylb8 99l8SELkfmNTlud4imc4y5sSjovy84sMfIgmuxHCnqLJP3jS//yW8u0b2lNf dhBZWCqRdinbu3s7OnratCN9CEfrmsNc3yEJjaM9JwXdw/q6EYMRjOROQTGT w7t6KqYsfTZrv3W8d3xMCaZNs6lnwtJfLqlqaJEPaOqHNE3x2dSwGJwHFf00 FLJiAgDpNuEkuNtjQiAAYKExzPyqHIO+c3ysF9mZaoZbqmqlFuvgiL5vd2Oq pK4okBtBiGUCwKYd7d7dmHQ5xpYXRxGLuHlIjmRYmBsZ1I6IqzuN1hm4Ds4u LwDOOR+fGEnLYXHTwsjxAX5U5lMcuaGtsLqpqbKp9cP5ye7+HpaX5MMgsTND +TlML7rnUxxldgmWY/8rDHBkFtradA0NNGiGvrBafUampADL6Mqy/fJ6jkVG nM1uLKlKTMpjUuOD6UI0JIqBCYhAZiZhAUyKy6YUVyUicqGkTIaiveqWBhyC WFtbrqXFKZNB2dlRngfFD4IYBVNzIruVkp0N+/JnAAn0ljtSCIDlJizqleXp 9fXl09NjULD17U0vZrgH1Z8LFQZb3SKJLxDG59A1RhWAQAGRmCAOliHEU4UA L+EYSVCBQ6OxNCFUeFoCKrEoZdhsjMxM/CbQvUwhv/yt2xSp8K2dXWpi3gMU MZjrD9YvsOigBO89aP4vQmhvwgnvKdggbmBogqcH7V1BrXTJNcdMD/Fjv8JG Bfsxwz3p3t7MZzUdZWdnp8vO+ZhMCj+dpIah0bhZbdB3qfpkUxMjK0u27c0r ytM8SX1kava7cD6KSfdl+76h+N4LxqSWldhmTXhWwj0v2tNg0msc7b7nlRzp L+/oL8nu7sx3ZQ15jkXj1CTAq3rHksnlMDuXx2ZnNPapQTDMAToCQx4RS2qH 7nAxQSZJtgntwpwF0ZmClF1RGUinvgxhwOiIhnz6RFByS9N+5lR88TGOw2+c kHY8ODwpkyvcQ8N/eM+87/FJoOcHnpH/5RZWJJNefiI+ujg9PenoqJFIMrNL YnFR3gB45NdmEGL9JLLs+sZCYlwANRGDhikLbmcEI2WK+SOartswEnxubK81 9dXFF3E5WRHhSegbikjkKjxszkRJwtS2lezvbV/+bIDkWJkrrRGh4btdYy0f UNo7JEuw7s8fACTwdGFpVJOq7h9V419TQqpIN258S8HT04XS9iZhfjI2ivmI 4A8WNbCFv4f1i89J6FNKTBCRLyzrgZdj/Wh/RWUqQCYfxUfy/CqJKLcoplqS IW8QL17ZIP06c9TN9A7pksY1AJkre+SVNRkFJXE5RdFllalIMeR1+TJZTo00 SyrNqihPMRhUp1dj9l9g+ft70gUUDv5Mpet9giN9509zw9NehYY/w0F+Ww8C aY8C6H7kmPCo1LGxgdnpEeeKcdVhAnnNOeZcNi7CHjQQ/Jg3GIx93aqGAmmB X2QYIk16Q8Y8DQnoHGo+O18/P3dtrFvHjN2IdH1qom95Qa9UdWq0aqWq5l2E 3yMC6iUZ602H4oPcYZt8TkK9o+KLa/LBFnjWNri9bbNNqsHO1KBrraopH9b2 9qm7Zmd0rpWxwZGOUZNSPdze0FGzuTqO8AkvfjT6HV2EbFpGY9JKXgfzOvpG 0gsbm7uVFxfboK81tlYIRRQwvQzqerxp7J5hJRLmDEkLDhcrPYuagpe0lWKj Pd5TvajJWb9hq/3yBHXj4+M9nbYNIUq6UaV9gWESXtHAYroFr57IsAXjR9Jc KMyPjIgL4sBqLCTABysZJ0gPSy/k5ZfH5ZbENCjEjU1igHnS87iZ4ijX2vLl l8byzvaaeUzV0yNpaS2plmWD39fUZSr7aqbtwzfOWaBfOZZNACB9XlRQNr22 1WpW7+1BRinLq07QVQpqy+JzKIoe6dHxQXRGuMVuMloGMRz/F+FYDA9LFYYy kzDxuYyEXCYASNy0kOuIJCjbHESkqTEbQKdFxEe/OehFakxULvtf7gRvBhYX 4xXMc8dGe+Ji3nvS3r4IibgXyLgXRPJjoQmxnsGCt4XyqiXXanJpVDD/XZgQ HZ2Xxkzn0dJCEKuP3f2d/sHmAVUdwKUAUh4d7c/MmBYXJpFF2TxlZ6bmY3nJ f/QOuR8ccS+I9owQ8pJI/KNnWGYFtHbPzM0NjbT3Dtba7WoiL+EPLyhgrX+F pSaK45RqOTIDLC9duUAipqdI24Fx2t9XB7XXQENfXy1o7gF1/W2ApNW0moy9 tikdMkuff/hwdnooa2tHc4X3AskPgiOeYOlPcfT/7RkCtq+X17K1H6uury0h 1Wu1zf/pJfm7t/Qf3t+l3HzoxX4ajOoc7PhwC9QherGdrfWmhiIAhACYCeS+ iy2IBOiCmYKX1ubEZtMAAiHE+N7BSIQYPz/267hcxunJF8JDI2l1bUmv68yt jEcwDPgM5r/3Zb30Z7/BRnn1jnRcXv5isgt5twRC7/z3gdy3PqwX3szn/pw3 qGsBF8BOpPig8uq0qhpRWVVqRU2GrL5gaKCtv7+pr6+xp6ducdGOLNF/X2V/ XQnpz409rbXNkjRx8ncoz+/RXo8JAU+ug6q/icCC4/xy0cHO0s624/wMAhtI zTucC4WlCZ+ot2AxDjgpqcsdGuqYmPhHkbbt7GxubK5KGwoKSuNLK1MlNVmf atny6+vzmxSlFlgv8G+WTmRN2X60kHvBkKXNMxwk3H6IprgRGN2qVrtds+oc 21m3ANQBoNEqFDISzIQft/nzczrblGZ1xby9NqEd7UILKM9Cg1+RIS0bIY7t WrdfXm7ubNtMxi6YTVfR3CavrqvrU/d099Um5jFSSlJZaSyaMOQ9FSJTek66 Y8iEwglCSiQpM7MaODqJa29vxm4bmrL0JGbmh7JTwaMX5kZm7NpVx9jygmFr bXx2WmcaUztuUesAdLQwp193jfWpO9kJWWCfmy6u+z++QWWVQBID65RJXC4s r8kYh5t+Zc0Bc0FcyTyRflvVWihtL9vZ3+nWtNkWphAa3t+40X5Bgop6enpg 0ENW2QjkMI52fgo8rgQ14OS0bQQcW8wDyLLlXFuZXZhSqhuTCyKjM8hRojD2 bQex1BB+OgmcFIl5ACPlFMeUVqcUlSfGpZEtk9BY/sSX7ZYqYX9vc2SkM684 RpTH7VTKdcaBFYf9hrty2jaEONYBXP2pmubKmNxsUu7tQvZCWrMhW1rVr+1I KeSBF61rK69rLwfnyxornhB83EhYLwbk18ZPJ2aXxyOgiBofzIaDuDGE6PqO StDE3ZqBjOrSy69ltYX63+rmFkdU4E4JwsV4MtIJ7mR8gaxK0lbhSX/NzUwP YCX+0YvwmkTC8PFvyG6i8sqz81PT1Oi8Y3Zrd+3k9AMS4RFZeo4O97p7aob0 PZ88A06u9bUQQdz7cJZnBAuitoAD6zzB0O8FhXEzCqBhcHG2szm3v+M4OdrQ GfVv8BF/fB3OTBFsuMY2XeNfYGL/aDymtZr7evtljc3iXqW0p6ca4vS+1eWQ 7ZLLOX+7W3y4uDw8Om7r17wL4/3RC38vMOItkVTXKbtT7H9iW/yNCVTc6dlx ojj9mzfhP7iz7nmwfviUkPwPL8hu+FftQ/WX17joJg2a+nPK4hJzmChY1IOP 8Y3OZwYLPIhxAYXliURIpYVQX3qhbunaogtYKXmRU58toBdwkOhLiGlzfkAl 1w+3JIsjYZ2sByudWNqYV9yQu7y6eHx6/Le5cG7srM85ZkxT+mGTuqFLklEa S0oIugJIUZ64aB9ifAAtCctOJUZlRCTkMBJzGFU1Gc2KErDs6nS9f1ctf8Up Kjf1m0B3fho/MSfOnYp/AdnrwmyBJFQAm4Tmkn0YhHEbtDu7LfHr7m/IzOch Qhu5PB/i024Q19blVlaktLZVXtvP/2r9f8GxZJ40JpbmO9fXkDP26fH6enF9 fYFMliOVZt1o2Wrr8iQ1GbNzCH/L7wrQ/nSCgw9ephaVRSbQIpNoj7Fk2BoZ 4UikPsXS3pAiGcnpopLi0lpJfVtjV2+73aaFBDK3MBLM9QdtJB1Lo0XSTJjv EYpUWyovPjvb/fAB7PR3HCumMUNHQWlJR3fbqFFlMKgslgGzuUvWlMFLI2EF RHDJHTNvxBXOiw5QU0BBbbF1dvQC8l7f/HC+NqJv8ifxSiVycFt5S93CrG52 ZmR306Job84qKoc4BhdGr2URo+Cr2ekRcFKYVWS3a3Wj/Y+8I//4klwihcTR ADavb7hutPZfqqKLzZ2No5Ojz7/610qrrtkbARFAHQZ9B8yNA7utQU5tXeBg oL92cWHCsTINdvcItqluyo0WkfIrErJKohJzGaxk3O34sCyYbgjhHeKlhfLS iOmF3Nb2iuGRnh8zJoRR5/nx8aF+pB1gpJKqtO4+KPbf6enRytL4ypIRrK1w IRvu6v4GGnXaNuv40PiYesZuPD+/8tRzri4CkDa/DFk17OxuncFeHhlVpT9g fN5Q8PSkcFYSJq8qGey+w6J986qTJQoxJS4QUbF1qKBHn5yefm3rLqglXjYt iOv+PCSgWF4/Obe8ugGZhA0Yhmzztr2DowRx5be+4fcCKW/DUdQU4umPOB8h r3V8cnTtRnRlvXNlDT414UtlvwqhPcVSn8HuY0+gzRHtKZqoMeoBUjs83N3d XV1fm19ZsW6ujbOFoj+8oDzwgqj1i6ulrhXT4vxdaITIkRAR7oi2Va4oSi1g JxewE3LoFdI0PSTGBOioYWHeenQroNidNDm7qFCqEgry3lPx7+kE+4Jx2bUE mukfUNP/kATvrc6TxZVPfLlugfRv3pLue0be94QMkL53Zzz25ZZIO3qHh45h F7Yrq56ToyXXAmhHchLGm/WCkogJiw+CDLD5HhFJGGJCYCDvXXQmJUKIghRb UZ7khOCMQkForD8mypMQ5TMxO74wNzk2hvgkfrkv7+1vrzrna1oKQb8K5LqH xweuw8SSf/s7XnxYX1tp6qoWVQnLFeICWTqAQKDkkLot2gcf7YPQEYBXCOa/ D+K5B/Lc/TlvlJr2ra21re31nZ3N3d2tE1jq9btJa1tb21urYon4cUjQk9Ag chyDFEN/GhoMB97CApj0jBhMjmOGCiit6t7bJkPgQDXcLr3WatXW5lVUpJjG hlYccyM6ZV9fo8Vy16rz70ln5x/6ND1msxIroJCTYy8hAq7tuqbCHHFUei5b XBIPefdfAyTYDipHLi9YX3f9imX4+hNivlhUK//WG4vnMjwjwh+gPnqRPERR 7gdHfOcX9mcfEsj/9ytMXE4+5NULAw8Aim5ENIPDPaOGwR6V9HV4wNPQoBek gMSi5PXVybPTlcvLrfWNqYHhutzivGf+3OaOllFD//S0ZsNlaemueR3m85qM fQ6jo1dkDOwZBxl7uxGD4SghmOfQJ/a7YM+q5prLy0OAaOYXtGm5PLfACGFe rHmqd9quA0uqY9lYU1/vjo3SaHvXnGOw8xoUzXxp0TAxCX0rb27s7utYd5nB V929HX94Ed7ee0da+KMY6errK2vP35pm7u9IBwc7G+sriwvm8bFe2+QgApZg O+3WyQlIcDRhHRjVdR4e7iG7zkGjXlxXLshkRYvC+OlENuQpjwO4AsCkyFty pCtyIYgWCVtanTQ7bfrpYuzvb4OnTE2OnBwftnXLIL7uk6Ozs+PNjQXninVl ecw+NYyQrt9RAmqGmvUjHaP6zjFj39HRPtIQ5qlRtQ6KJ3gb5Vpn7W+pIX4s TESMb1pxdLKYE8LzSCxgb+9uVjcVMIQYXjoRvIt9/gt0mr95QjDM8JjmPQX1 Lpz3msRbWYW2eOd3RA0Gszct5jGaXiRvhMV95xfXEpZPu/EXYT9sgjhhwkSy HqEhaPTwyjSa5k6iMBITDWPqNdcEwD9zM0NQuNgFvXPZpOhseE0gvQoWoKjC wkqJY9mwuPDJRunK5G92BJIBWvr7e+uGNB22eevB4f7Y1GhVXRZEHQn5SMpv jNw+f/czOMxxY2+HO40AmSOGY8ABWkBbXbfv7Dnsi3P/QtPzweExgD2MhIz/ +ZgINmV/eUf97i3jgS92yQXFT7myz7syFlonJgRZp8eSS6MDOG8AwAiJ9bsK KRvlDR3DAhmAOm5ihVRKRAIROTqP0dJaYYNjOv+ctLW7CR6UUMDq7q/fP9j9 m5VcSLGXl2Y6e+V1HRWZZXF8UTg3PYyXHgZKxUwhYD+1kkJMuEkJQYz0UHpq SFhCULkss62lcnp6/PJ3IZdAKiS9soQUF1khzfdmhABc9IwYfM3sh3pNxgSy w95TCfdxfqExDNcGZJ59R3B3dHTY1FQilWa1tla0tJTPw6S7SPoV/evhUXZq s2v3Nibr26WgYLycdFpaXKeqdXrW0tolrZZlFZcKIVB07ekvk2YDkIYwbPz7 AKTrNz1XdCmeE6hueMrLkPBHaMrDWzDpKY4OPoNY0Yn5+eKa6uVl+8728tSU 1mIZmpvRLc7p56HImLo+dTdAPh199aV1xYqOygGtBq7Is8kpdX5JFCuG8cCT 0dLearcN22zD4JLlhdHkYhEtNfplOPoBzh/0H/D5EA+y3+OQQE96KIBJ4N9n sOH3y3Bsl6rx+HD54mKnvrkgJSsyKY/tz37bMyAFc/Ka0wSm6//+kCjMKgL7 XFAYx5JxcgJiA9jdcTiWx8H0Pm3XwnbaejCrt3W1BoTHo+miJcfaB3gf9DNq 6XfVJc7Ojk5ODvf2thbmLbBTv3zM1A+ydVy1tjqPOCnMrSxhYyJfkXGsVD4U zQSOLatoK8kuiealET/HSJyUEG4qkZsSOjKmvvxMcQCn09OT9Wm7ESyOx8cH 1yU5vbKSOtpzOazra/YZu/YOhc7trO6vA4VZW128E8T8Ch0hKBc+41hf69V0 dakb86qSRSXR6pGunb2to+ODysb81Q2HuCYVdsFDj47DtJZfh3HvTULGpWly bsm5trDi3D88Ql7wmoH5ylYK7MMnZ2FJ3S+8P3K5cXLWI4IH88bDRtGw3Pg5 PiKnJK21o6K1s2Z3x7W1OW+3aSYsqiUAlmaH+4bqJyeGlhf1q45rLTaMixbm dHMz2qkJtXmsx2xSWsy9E5b+cbNqeXH85qFWu4kuRJdKUnTDrT29spXVj3Ex Pn13aCciyEv/Ae39CooQhHYjot7TQ0hC9qtwdACHfHK68Te88m+YtncP5W0D zT3DKHoimpbVpm6yLVjhpvwYnB2kTEkyPQlXVJWKMBrdNjS6ARtXFkRR3oE8 d0EGubwqjZ1FNlk0zc1lR0cHf23xuvqWlU6MyqYsO+cv/w5pAEKjffPvqmNh oK+pp1MqkWWn5nPSCrhkIQoX7fOJMTkc2USQxxAWcuvaK1Zci1Ao1Z8dBvcr T9eW+QfpVWV+LFJKXlwwJxxgpJfXNDhgjXsZhsYLaLho5vco7wAuxTBhud1k SH/Y3Fx1OhfAJAzmRoT16B8BSFzOqYVrvkqLRR0Sy2Sk8l3rDuTbg/3dgaH2 0spU0MFqa3NksmyA2dbhb38HUPYXJePk9Ob2qt2uQUeyvw+kIFE2nuLIT7BQ LHt45qT82TckmC1wLhtXwEw4P7qyZJqHkIZxY9UM8vb6uGvF+P+x9xbMbSzd 2ug/ulW3Lnz1nXvO2e/Zb3YSBxyyY2aLmZllGWSBmZkhZnYMiZmZmZkZdXtm bMeBjQEnzjzVUY0VadTTPb3mWasX9PbU9/XVAdbU39dQ8rrEKzjVZNoHz8Th 0brENIMuVOnAdWxqz2nvaSitKoATTgKO1Dk4WI9RcL2jDDWNJaGpYYpgr5Dk oNzy9N7+2pqmkqScaKyC9ZiKtWS7j07Adonz47n5zsbWguyCcEOYJCU/eGi4 pqCk6N8O3F+tBPklhSuLPQuznd09dSr/kNe1lVPTA3PTkLc2Yu+Ccg+OtU6M t+rDYv+P30hvG6GsDqc/DR++lJDvXe/y8vTwUEtvT+3W5gpgKVfvB6TE0nzU Ij+5JpgbGKOMTdWFJ3rGpxtSswKh+LWPjUhGqlhH0kWIK2vzdna3kExbV78L Jfc+XwG/Ntj3pq4m5/Bw/+OFD0Tl7s7GQF9dwzWH3qvs69COW30+6Ory0tT1 7fg/FSBNnW9W15c/eHNheXZrZzMpN2x4AvIE+GaVuf46/lQqXo9++kfnh175 +tA7bkxzkhAhSE9IgjtuHJ631+HB5vIqlLcc2gxtr25rLRsdaRwfbV6Y7Z67 qAXTjuxiT423jo82DQ/VAXY0Ayf3nhxvbeusLqzMy68qTshLTi9N8IySdg23 N3ZU01UOyTmh7e2VtfUFS6vzv3+Z5xFZyU/oWIQgQRWoWYS7eGdJkPfAWPv5 2eqPwo8+sOZ1D4xrQzM+/Mylr2ND11s3uZXcn0HxdLmyHUFMCYoUey807KKp HTJehXqG8PNrsttaKtvba0x/LQytrb/JL8mrsrn0r3z+L6KsNp/p6So2UOhe bq7yl3iVPRT47/FhUBtOaQeuUWSgZGdH1tcXf5Gf/q5wenY2tzQfkBpvx6dK 9HInIe2DXMpA5efq1J6RQf9yt2b6quEsSd/uZga/dXR8PD0/heTxvvSQ6Vqc 62nvqpyE8su9y3M+PjlkCBblFcaVlqY2Nb0+P/9id8t3DuQyJ+fHg1J9KR7e OKmP0Ef+jMyDzexQeVZ3mRtW6eQsdsbK8Q488avirFdFWf0DDYAUwWpjOxjb 0oqSlKzszLzc2JS0kLis2ubuscmJgZHRufmpsYmBV/mRuUUR+SVRVW8z6hpy o5N81MGs6oasWSA/4WyigFNtrfYD0jUwWL8837O62Lu21Lcw29Xf17QMVVLo 2t0YqW3MeU53sRNQs0tiY1PzZubmTOdLLe1FCakGY7iMpXWzF9jy1IGWZNm/ bfn37cU1dRVQ1u75bkVA8H/YUX3CIxfnOmemLvy0QZucaAP9X1ns7+wbrqrv Mn05+fBj4t21Q6oKLKWPj48WVpfz31YIAnSaCH99rE5i5CdnhZSWJcqM1KsY f9AAHRLroSbRXzgmifVkoNV6h/A/MMtAK+ts7fxsYWNtGMlrtLW58kEHTPCz uLW5BN5Ke2cyQtLpdHW8bm0uWpgf+xvXBtsGr4cIXc71O0L1vRmOPsBFva4/ 3vb9xxYAeHQMcel3XBkIQTLDQamHHuD5Lxni3tHJrc3V5qaS0eGGibHWmemO qxpSQJyCtjDXPTvVMTxU3z/wtqe3CgjYqam2N43ZsdkGaSDNWWLlJLbiGan6 BHVMbgh4Fm/vbu3sbc0vz5ycnpz8/mYBuJzjk+Pk4sxfMbYPKa7PGHgkD+1L Duk+0SWzPNNk2j062vxnl3xTgDdAz5BAvJPT92ptXO2wNPfUC/3pgAu5K6wB u0CoBTjQBPMEehJPT6K8H7xG0jhhVbbeocK8/NiVjeVdOIHSxsbfLhTyD3AG hRwedQy2ZFWmVbaUNvbUdg+3lzUUBaRotXEqdYRI4EclX8b7w3ksr8rjOtO9 3Rg+7nzoioi6GMVtSsuMDPvG9hZWyXeRsu2EjOdMvDWP/PzDKlr43/AOcfk5 hTXVmsigT57nK80gctryhreNrWWLc13X/QbHx1q6e99OT/cgBiJEjz443G9s rdrd274mPH8KIBe7d7Cb/+aVOJDmJGSY4USImR32Q+DhVI5sX1ehH9lNZoFR WJe9TdlbHwNjOD7WOjVxUTarv7+hvrEK0CTAkUhCPVEYdP1xNz071jfY3tpe FZOmUxjoEj01KFHV01+5NN8Jpqa7p661/W1sakZadk5HZ+3MNGRQmoYVUuRg Yrx1oL+psbU4MTe6tLJwdrozKDrxVUFiQpo2PTuqvCado8PzfHFWZOYvVtwH 7oL/ecknCvXgW1urA0nZGf92ZT0lC+ubKxA9d2K8pa+3rq+/dX5uGA5M7rke yI8CAXJXnJyes/ReL7kUC5abuwTL1+JFviSZgRocp07M9FMFMhEuBF59Qvma II7Kn+EVzC1/nfK6IqWyOrOt45ORKbsm0zagqXU1OUhC7O6uN5fJNN79Pvg3 Oz3Q8F48OBRY1wGV8yuZn+u/3s+/c12fqP30U+2kX8eVmxJCDn1j0n5xpD4B BIkocBdKyFK+Qq+KzszGK409A73Dw+3LS9NrqzOL831AOQKkaGqidXSksb/v TWfH64amoqbWoqa2ouGhutfV6VQvVxeptZPYjqwhp5bGd4+0b11Lzgw05aP3 Z/zj8Ue6VN/V9oKF5xg0hsRIVznnIdntIgMti0DzluHVvLxqKCb99wL/v2ec f/gnpDosry229TdhlbY4pS1gRJJAJltHwMPVOnAqO5GREhSt5hrIogAGnPDh injYQ15JHk6JyYZR2AGpr69lamrY9Ndsj//s5ke+tbW1VlaaFhrvCRQiiZGK kVm5yCxp3m58PwrXQGL54sEx1dMVSUTJ8MEwtFiCh6Ob3NpNboVR2ICrUAWy C968mlqY+Cu9/YGAXEtYRtIvrlaWHCJSUeIq5ghxqHORcV+yCX5R+sP93W95 B19aRWZ6ofxjbbMz7xwI52c615f7l+Yhlefk5OhPT/UzABmumcWpmJxQWTDD hkO88EMggiZ8RmXilZiatuzsijjvaDm41bXRqs6upt6e2pHhRmRUoUSRcNmR gcHmipr6tu4RcMLtna3y6tyG5oq+wbaRsY6p6fbwdC3HF0/1crJiumXmZeWX FAi8A8xdpXdthQrf8MbmasBhPizCNdsJ2FdtQ0VtQzWUZ6mztrm17uRovaH5 9eT0qOn8sKm9UGqkcLRYKzLbksoDPb9jK7AgyIeHm8reFMOuFDygFD+j8NPy M5fnewb6W0eGW6dmZ8FVr61MLC4Mbm8tnd06z6LPAXI/ADW/seNNTUtlYXWB T7hY5EuQ+9EBF5LoySJfoi5cbIiUyI00sZ7kGcytrEwDhKfsdXL56+TKqvSS ssS8ouii8qTuwTYg86GH3fmpyXR4fLQ5PtI4NdHc01V5Pda7tbl0fxdReC+6 YIL2vrcG+hoar+Vrgj5fnzc+2np04baETtkXw+7+Xt/IsANH8RDP/7crhyDm pr3yyy6IPjzY2t7dP70o8HQEZzVvhRhRfX5jQ0Fba2lf75uR4fqhwbqxkcbW 5mJwGxSWxeeWx2mjNC9ZLpIASUiabnNreXd3vX+sp7QuLyo7gGcgKEMFl1We Pz2JyE24s7e3tLaaUlxA81bSfKRUb8kz2HnjBZPwny5WnlEhuwef2J/9EYEQ wpTiWHe5lTpMQPdxBxRCHcqPygxA6onAZiK74Fi1RzDXP9GT5OmMbL1BKYZ8 cSSNo0eEKC0rNC83end3+1t2e39/9+hg/2h/b2d7o7D6lcQPsn0B8oOFOJ4d HGcHhfkDFsc3kiXBbGOcOirNGJjgZYxVByR6BaXptLHKqflx020kSCenJ7qE yEcUd8CIXMR0OHIND2dAIr/kEFXhAcNTE6PDnbm50aOjPd/s8hFTc2Vzfd9g 08bKILKzNjMFRTONjjYl5cZ5h/kUFMRNT/UcX6sP+Ent8mcA4hqXWZ6MU1kK /fmWDNYTkuApWXQfy7uPZVnQ+b+60Igq3twydA9Pzo0FJPuEZ/iMTfSNjg1M THTApp72xTmoiscTN8UjZ7kjXTcxPXtwuFnfnBcQJtUYmH6hYo0/Q6DHivRE GzLrrp3oMUb8b0fuf1mwf33Jz8zL3VjpW17o+aCS+1VbXuzp769v72qYnYfK WSLdHhnrTX0VpA8RMryxWCntJV3wkCh4hBH+5wu2Njyqsa0KiHozHA9cy30s 212smpnqGBlpSsiONMbLhyah+hTfobfJ9wBkFaysLSblhsVmBkSm6QzRCqU/ U6DFy6DQfsoFTdJBEf3gAI7rZ3gF84xR0pB4j/BEz4rKlKKyuJhMY1CcqqIu Fz7p4fnZ0unJ/NhoU31t7vWw/eaGQvBUHRp4s7+38MECPD096WiHcg40wF9p qMsdHek4Pf3COUB+QiDjvL61uba5AvTEuaVFFymH4asQ+mkdeUyOj3dtS/3R 4cH12UCe4END7ZmZYaUlyYARQXU2F3qXF/uWFnphj75mwJHAagV/gvffNGRm FIfWNmcPDdWuLvYPDddSvZztBM/tBLYkD3pKUcbpX/bI7Rpq6xqqPz5ZHZ5s t4D8tHGuMlZeVdFliqfbcCcgVzG/MjO1MAGmRRchgQiG2t4YJWf5YOCNNohm CA3kV6/CSkqSFaE8jNKG7OmMU9rKgzkMH0zW6+SVpdmkJENTU8U/tgv9Y8zN jb+uyGyoK07JDIbD7txoXq5Xm2vgHWjDPVSgDmQnpvlXl2e8Lk0tLUoavL3J BsH4Ty3M1Xa0MHxVNlySo5BuzSUzPYX2AupTBu45AxuRFMLSeXhGhxweH6+t Lba1v/mWPurI7dE51NvcBrkUjow0IjSppaPiBYuIkTDqarK2NqYvPwsn2f5Z RS7CE5p7Wp7Tbe14rvcwrF8c6XfcyIa4WBeR1ws6XRYQLQ+K2YMiIy6+Mjw1 cHB0dHBwMDfbMws5wHfU1lcGRiX+Ziv4t7XAOzhlZm4IPBBNprW6xtyMnCC/ cA+smO8koLmK6JZkQFo4Zm78B47iuzZCQ1jc6lLP5EQbmKDlhW7YiNQOzgk5 gcPOQsuL3eCd/LKq6oae7R0oqGpwpDsuxagPFuoCBRo/kSWNf9ed/4jAe05n mmN5d534LiK1LUd+H8t9TBQ8JvLNsFy8TBmW5svWYWUhnI7Blk/WQUbxSYCx 2j/Y29haC0gKY3hxhL5QXbOL3Ed6ssqfqfSjww5IcNS/nhSXpovNiApIiq5s aaxsbgCtsbvr7AwQpDV4W36st7vqg3i0tpbS9tbXYyPtH/865K29uzEy1NTT VQXYEbIZh87dZwJhO9HZaS85BKq3lOghfsbEPaa6g2bNI0zODVz77IV9BrzO zo5VV+e+Lk/p6ny9vNg7Pt7W31/b2VFeX5f3pjqzrDSpt6d6YQ4s4baJ8ebZ 6c715aG5ma7m9uKskihjvMJVQsQruY5CQnJhqukvTyLsCHEIbkMgf4LTYi3Y xAdkF0mQ71XnvvTY3DxWVxdeZYXFpxh8w8VSf7pnME/kT/MKE1LhaiDh8V7F BfEJr4LxagcaVFjNEdAkjwgR3ct1bX25trawuDjp5HdyYX0NIBa8g4O9t2/z UlKMoOevssJBz7m+BBqUmukiv7fMD7oQKD9kuEQfLvGPlAfHqIuKkzY3b7gq 9NcA4hDonxz7i5u1k5Rb01CZnBrI00qteUDBlCekhWjCDPoI3+amMnGgluIt 397b/cY9RIxIVS0Nr8oLBseHFaGG+ubS/c3R8fEWnJIHKFxwvH97x5vxuZlv 3LHvEAgzXFxdU4XEWdIldE//3MqagKTkt61Vmzu74ekFC8urF588R8Tlxc28 t7sC74J1T050JGW+umMj9ApKHx6fuzwxkGzgcbYHHovx2Wn3sfzHBLEZVggV VyLyH7oK/+MpWxsSs7bcC4jr+nLf6EhzYVnhyHDT0jx4p6+3t35ivHV1qben t94QFo/l6m1ImvVNSGccHOno6avIyAmpeJNSXPnKmqXEyTzs2PynFOZjIrTL BqiRGY6LVHF6gBc48GgEteNL9oP4/MhLwz6KP8eVlTj2VWBYslYZyMdKXDle JJGOAppEDxEkpT9DE8RGPJFkBmpOQWRLUyFHy7LhuDgKsA4Cgr2AQFDz1jah usDnZ+tnpwsH+9MdbWVQEb3LLbbuzqrR4Zbxse6jo98tfXh+W0KAvwcgMzu3 vOQZHfyA7PqEjkFqTJvTsByD4ux0+5MmiL6+5s7OuoM9oPjs9o8MBseFZ+fG vK5Ia6jP7+2pmhxvuXLeBgdQqZHpzq7eSrYvzkVq5S63wSocXaSWogDK4ETv 3zLXn8E5bA8Oj9v6uyqaSp8yMJIgw8zSwre3k3xtIFc0MtKdmuqflxOVmRka k6iNS/QVGCk5ZclCoIb4Ubm++NycyPz8WKEfDVAmmqcrT4svrMgQ+FNT8iIB Udn4VNTDN8De3vbCwtTK8lxueYqb7CVe/c6NnODhgFXZYZS27kob8Cfd251v IBsTPReXZ29NaP91II/I45OT1JL8yfm50+PDosL4gtyIoGjfwEifksLYmenh nZ2tpsay6cnBxu7O7d2d6w/Wb4+Q9CSBUVVSnRPzKtqaR3nCwFlzybZcItNb CrTjrZ2druGBK0Xppjr5PWBpdX1r54LN/sF8IaN0eno8O919fLQ1Nbdyx0Zg 7io/Pobox/7BflPrm76B9mqgzrxOKnuTFBgfipN6OfMlFnTGcxrTzEl4106A EXq1dr4BBKmrpzYqLdmBq3yA41XUVu7tLC0tDk1NtI2PtaRlZwdEJRaVFU2O t5W9aUjJfdPWPQgnDVg5OV4EquXm5rBPmMGKKbRk0J+QWeYkHmiIAxWc31Lw jMrGKp1YvpjMssjDI4hf3col+fUA5npheXZ4vLezv7GmuVQTzEHSZV8ZkcRw mVqFH6O0PKmhPi84zgP+kyb3o0kNUG5tshKTWV4AznNyvNfTVdndVdHZXnZ9 lw0c177N6u1+e3xydP4ufdEn+vItL/wWA7KXm07SS/OUoQH+SdHPLlPYWUI0 iZhSnP0HYbydg+NRWWV5r1/3dNfMTnVsLA8tzvfMTLfDnki146NN1yJiIO3J O0rgJHlGUNtzDXhdvKKyGXKr/gwxey4L1j1n4t+0QdGRp7dxl7y/v62+vris LK2kJLmjvWZmalgTzH1VklBQlpKRHa4OF0Yl+PR21pfU5LK1uNAUX74voaI8 fXpuPK8gbnr601k3vyXaBppp3m4kjdNVMVyyJ5RPG7xDh+vV8nzxccn6cnCB pSnt7W9vsKvfBhMTgyUlKXPzk2src8uLU5NTw4ODF9byG+cbCCc/PDoam5mO zEq/g3MAipIlh4hXsLk+YtDo3jJrHvUOzt4jMvDwdqU6/7u4mqtTOE+06SIv xx/5QB4e7gDV/vTsvKN3rKq+C8mXDrSY0opM30CeIVjk6c/FK2wchU6WDDLg MICumJO4D9z5D3H8vPLczKJstpfhJUPyb1fmfSxXYgysrq+Yn+2anmxdnOvq 7W2oa6wCBxsrfcGxqc/cVf/nfUpSVqHJtAbl4z/af1uXowliY+VOzhJnqpeD DZsO1Y+DPcwf4qFmTuTilK4EtU1AkiLrdUxwahRC4VD8XRwenzR1vc0oilYF 0BR+FNDkRorMADWFHxV5Jy07IDBGJvDFi3RU0JgeGKGBpwj2ovsovGNCkZvo /GxxebF3sL9moO9tS1MRwo6gyia1udNTbWdnOzctMH4KwPxnd3t32pgYYiug XaYYgrLWYxTc7qFG0zVpcPGVy2TPEv8wSyZDHaJUhUq8o2QZRWEFRXHlZSnD Q3XTk21QHpX5HrjISNviXOfkRKMsUBCSFtY11DEyNdU1OPE53T6DMxkcHh/t H95+QX18fLi9vYEcLy7OFBYmjI32FhbEj030Dwy2L8OpNSWBzIqmYm2MvOIt VE1ydna8re3Nx/nNvg0uE1FAPz29MJlVFK8NE0EVbNX2LlJLjNLGXWHD0eJT csOzy5LfNJQMDXUuLExuba1/+65+MyD0Y2trDdlJvI6rafoeEowgO25FNZUP yC5IAQtAk57QsU8YeCsu2V3B1ydE5lS/hmy5UJj/zXf4pvAlQkIumFVBaXJE vLcigMHUulC9QHNwFBIeI7Yd4kUtg3+7su64sh7geOaws1BJVd4qVBykDbHV z89eeCUtLXQnZb76r2csN7ZxZ3f77Ox4cXkuMy/aL0QiMdBIGnuaJ8aeyzIn Ce5i+A8JHHMi7xkVvHLBrzgI8HiVix0P+5s72YqpmJxDUoCij+G/BGSg+kaH 7YR0K7azk8AFJyeRlCSaB4ntTUY22vAKkpsEaBxEopKIlWHwcgxZiXHkOwcn B84uTh+dnEL5Xs7PNjdWJsbalhb7eroq4ZomSAER6KCtpaylqQS8OTH+J6VJ UHxRgMk9jcmJe0B2veJIj2mYxIKEo+Odj41IRycn1c0dXD2b4klyFLpiFDZu spcuEsuASEVfT/XSfO/0RFt3d0VTa+HyQu/iXI8xzs9dxnpOI2rCA0PSAohq iosEG5rhv7v/ru4Yij/GVepIQH42NlaGh7uqqrKv/nd0emh6cfL0/XxK3wxn l3ly3qVygg8K32TxjGSmD4bp7U5QO7B1hPi8cG2kVO7HEBkoAqBYBTBLS1Nb W6u+cYdvFufv46a78w4ncILK3Z11tlaGpPt+ziLY8MhuEgZJzecbNEJ/n9DM 5JnZMTBlJaWp63Cu3e/qEr5/gAX6cTaS/YPd1PxkgoRtzRRa0HjPqbxnFN5T 8lV9Nz7gRYDVwPkEuA/wHIkxYHi4EfCi8bFW2G27YxqOPezqrjeExT1ylvYP Qynx5xem41OMhhBRQJgUKCnqIK4dS/iLI8ecxGZ4CKR6vi2H+4TMeQxV24R2 2R5DTEloyeD4J6bv7MHC+QZG6AcG38/nLsHpKQPoFARXMQErI7pLic5iImBK Yj3FVUK05hLAfz2k4iKzX9V3dTX2dNd2duwevJdGY3NzeWS4HRCh+tqcK8NR Y31eb3fVycnK8fHywf7G96BM/QxAxrm5tzerIl8c5GlOw1pCRXyIj6juOBX/ N5xDYEq86ZoMvMwEsvKcSrdgOjsInF2lUHIeroHE1hElwazITH16TmhBXkxm XnjfwJv65oLEvGC8Eu8scQAfwyhfYJU2GDneUUA2J1H6RidNn6E4n/80wvmD 8TfBg7ayMn/jKvxFmsHGPIbK60095NJ/ClfNQ7q5tLbQ2F1TWl/A96NilbY0 bzdlCFcewJT50WMTfSsqXo2M9mxvb5ycnHxQJOj24vtiRJ9EblXpi8tE3xYs gi2fbA3nInhCwwCxcA9vn5QZOT7SdXL4u3WlUfx9nHuEh1nQhQ/xrEcE3gM8 9wEOvF5Uw7ykSYInJMFdd5YuKmJnfXh1cXhwsG1goKmvr354GDIlAY40PNQo 9w2xJnofHR0Dvfbk5PjgYLd/qKO9q35vb1Pq5/+Mypf5e3oFiTgefAsKx4LK fkoWgd96jKS7JAjMsOyHBIbEP3JrB5rf7/1m/Z4ABtwvKQIrpxHVbJyCwdPS hb4UvpYMXkU6stRAVvhBzkgMTzLDkx6bFZFbkVX4pnBpdW7/YPvjPev9ve2h gYaG+rwrB6SWxsLe7sqR4TowsTdygT8hkCfs1MIEXs01I7kim2vPmQRNlOH8 fLW1703/WMd1qY7srx0c7StDecowTliGPjonyD/J2ydGpo+XiwNoGIU1w8st LTN4ZKh+dXHAGK+yEz4jezqSNY4YhZuziGjBYPzqzPrFkeki8tna3TX9NCTn S+GTZoebSk1zcgLRoaSc4v/LjBgUn3pwtGf61ITG5YW5yV4S1A5O0hdsLS4w Rh2fpO/rbf72HUbxMZDZOj45zqoo4fp5m5HdHlOxF0ks4SzfUIOtyuBA4K+d mJsZnZ3JrCgZnISqGKDr90vg/Oj4cP9goaA8QWnkefhL2J6cZxSOOemSuhB5 z2lMNykGp3DjGeiGOElgkndaYVRtc+H03MLm5tLcTNfCbPfCwrg7R//QUTox DdWE+mBiOgb6FlemTKbt2flpsV9kQFz0wHBHWEKgOYH9CNq5A+yIg5F6ldTW 38gQ/NBAVkFDe5VAi4M8rnUkgZYIGqBGSBQbkgdJCnsiKf0pAh8M08OFoXYF 73gGc7UR4oTskOPjY9M7Cb8/NdlWV5PT3FjU3FjYUJc7PNiyvr60ujKPuL2h +CZAhvrIO9p4B+fgKGa4Kzj/crfBKjkjU51wWP0n4sQBTTo8Ojg9Pc0oS/KM EoWk67yivCgaCUHh5SyiUzydE9P8kzL81SFcnpFA0tiSNI6WDMZ9DP83N44V U+UZkVjR2LaxtYOK1s/BjY8esk6DEzLN7CUPHKT/bUH3Dg+cnB+9bu86haqp nMYXRGCVtpIAhsRIjUnWFRfEp6cHTU4Onl+r+4PipoDM19T8rCExWh8TyPES agI9lP5KWx4F6EoW10qigGO2zoPqo6T5KOUhhr4xKBH0Py5shOJjgBXD8dY/ J9FtGBwrBteCBrkJPSLwXKXuRA8Hho8b09edqcWGZvhF5QTH54fXdUJVKo6P 92anOxYXIBPu4OjM8urGtV08ZHP+dxWo+IzI5xThA5wQ/NBDPN+SwdPH+/9s dWQ+Hxfx4EszoUnasGRtaJJPQJzaJ1ykBEIPEKRrBWoBd8IrCDY8nDUX7yCk YBVsJzElNidhbGrwvXpb58crS4Od7WX1tbmAINW9zRoaQDXKbw3k8VTX0fw/ GBt1eEDXUO/04nRycV5YZnJ5Yw14AJ6e/kEEK5QttujtG5LKQFQCOpRMUnOd xLYYhQ3ZwxlO7Izn+7FwCsZzKhOoJ85CZU7Fm82dnd87IYofBefnF4/FqNTi O9a832yEZg6iezZycyyR7uM6OfcuGzbinjQw3kv2dO4b6RoaaMvMDHn1Kqyh oXR3d+t7c8L5mYFMaHp+ilArJqt59nzqS9gd8Xp7xsRzvEVZhamvK171dqN2 hi8MZDFMzMwl570KSoixpIvNcBc+SC4SLNHDRhstauktmF0c+uBb0NP0aH99 bfqPA/PPLu3MSHoucJic/9qO62HLYdrxsBZ0zj0Mz4GnGp6cNH0H+tePBWS4 Wrvr/GPVHkEcTTDXO0yoj5J5hQoFWrJYT4ETa0NJkDyh8H96dkVe7+hI51B/ 1/Bg98jQ1u6nN6yPjhbnZjsa63O7O98cHOygAvMbAxnurZ1tgb9PUlHu3/oq Qq6GJ2dLapo3tyHaMzLVW9FUrAzjMbTuJI1TcJqBqlFasan2fJyDwI7iie0Z 7jXBvqCnty5z0U+FC5vD7LI1WXbPgXvfXnLPTnTfXnzXju/AkG7tbJneJ0gV TSUCPyryCB4d7SkoiEcSnaH3wHcCZCKWV5fdpax7ZPcHFPeHVMxjGvY5UtAH MR/B1Q9t+RSFv2ZsrGdnZwudvq+HjdVBpof4HpZnToK9j8hcKxbdgkFyFLBK 66qgVDmnJ2ef2lg/+2vPUPhjZ9FZKViFuzqCa0hQOgpov7qQIzPzTT9mUcvv BEfHR1klCUwPZ4bakeeNkejJMgOFqCQ5i4nOIqI9nxCfl97Q1TI2O7m4unK9 FOmnHCdMiKft+tr8t0z5i+KT2NnbRSyxcHKPv0Rgrn/m6nhybsYjTE/wcHSX W+OUdiSNHUePrWisWN1YOz5BE9f/8EB21oqr6+7biZ64Ss0chIAdgWbmIP7v F2yVX8ru3gF8/7z7CrQne3x4tZu2s7N58TaK7wfwbKysrYQlBjM0ApFOJtJJ KWqeBYv4nAnZjp7QcZZsom+oV99Ax94eagf+8kBk4/HxeXxOiUdQgB1LYIYT IB7asM82x4Evd+R7VTZ2mL4Ehzk8PojM8m/urSmuzXeTvcSpHO644cPS8hH7 0he4np8VYPwmZkbaexvDkrVCX4LMSBX4UlheZJoHmagk0jQ0lg+brVM4Sdi5 1eWA5Z78YT0XdCpuHJ+TuRfZ4b5IGAvvXMfnxdrxLeB8gM5kjRNeZe8oZI1N L5lQi8GtADKJvUMjLFXYry959+3FCEFC2n07MdNTOLkwbEKn+wfEwdFhdlGq 1CCnKNlktcCGR0ZctZ3FdLKKy/YSJaeHlBQl9Pe3/hAReT8UoPE8Pjkqqim0 4dCsOexnVO4jAhchSJZ0xQua0ILOrW7ugHXYLznyE3NjcXnBGCnfJyrl4PAQ ndfPAaIGTs2NldfmRaTqhVo8IEhyKEUkVRVAUwdQKSqcPdcuODVy/+DgL9Zz QSfke8BnzwF0gqPjY+9oKV5tS/Z0ImkcSRonnMourSRv7+DoHJWoPz6QGRyd nI9IKtGGpf9mwwOM6IodPXCU/H9PWSr/2N397Q+2y6+TcPQ2+A6BCPbK5gaa Vh2UnpTxupjmo7TkkF+wiZYcor2AasenYGQs/wiv+Tk0eO1rABrP/YO9mJzg xMJQXbyMb6RZsaiPicJ7GDZbq2no7Gjo7J9bguoHfcHBf2fX3d1HIyY+H4h7 19B4T1SaQaQjAnak8KMLtHihLx4rxTjwcVyDp3dMRGxu5k33FMU3BbK4alq7 fnNzf0Agv2TS7QVEvMoBp8SoQ6PUIfGHR2h94R8eCOuZX1yT6xP/30e0uzbX bEf2CEcSP3VTxmdUmNC5/gFxenp6DHs7ZJTm/4qxuUtwfMrAvmDiqSqOf6Q2 MzO0v78FdYf4ekD0iNmlWZ8YhTKUa81iP8Tzn1PFimD/pbW5P/36P/xR1PX3 iwIZzOGJPqU/Q6glMNVOAXEeHf2tCQXZj6nYkamJm+4gihsAclcsrqxJ/GPF /tGPCCIzLN9ZRHWTOv2PMyU+twxxQEJX4o+Oq/lraO924YrvWAthdiQxs5f8 x1NGfFbJytrGytrmTXYRxecBKDtjM1O51eXppYUh6YlOYlZdfUlJUVxlZTZq ZPiqQCTk5s6GOJBpL3j5iOQO2NHk7AU1+qp58lHJ/AUBBrP4zSuBFheVbkwv jB4Yu6gM4irnKsP9N7bfhbGg+DlR197dMzyujVHjVS48XcBF/Tb0lrgVuCK6 OKHqFwveA0fJv63ZoJFEQdu/E6+K4gdFcnHeQ7Lr4tra1tZqSUny8fHtr354 s0BW1sb2BknlLfaLKq5puv4+iu8fyExtbq/zvbF1rRe29IWV5ZD0pDs4+/9y eSkJ0u/t76Pmgp8QH8z43sHO7v7eCVSED1U8bxUQ53y/qLzfbHn/suBT5T59 Y72HRycm1Hn3VuAMnt/N7W2mTm3Lp43OQLW91taX0NjDbwYkr7IJpUY/GpD5 GpsajHsVODk7ipSriM3LZGrV+oTI0Iyk+ILsvQO0DulPjbMPIr1R3E6cKwJ8 HzuL5xbXb7onKL48Do+OWnq7Nre30J21b4x3GR3RuhK3Amc3XTcTxXcINHLt 1mN2cW5xdc30GUWHUfwoQNfytwQ61j86kCTnH7wD5CS6n4ICxU8F9NF5W/FV HYNRoECBAgWK2wrU1RAFChQoUKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQo UKBAgQIFChQoUKBAgQIFChQoUKBAgQIFChQoUHxBnF9UrEUj11CgQIECBQoU PzvQUH4UKFCgQIECBYpP4vz8/Oj4aGN78+j4GDUiff9AU1ShQIECxTcDKnJ/ NpyennpHJmhjQ/xSDJJgGVVLd5G7qSLUB0dQYfczqFoUmjkfBQoUKFCgeI8j oXzpdgOwH0CQ2NpgMxyTa1C85Flb8a1dFa4R2ZGN3Y3o7H+fQObl8Ohgan4S eef07BTlsbcV6DL8NkCrBqD4Y5ydna1tLCPHV7cKes/cSlyXBjHZ+b840p9R xM9oLCsu1l6EdVW4U3xoewd7CysLnUNdJ6cnN9tbFFe42vqseJOrMjBL60pu tj8ovgHQuIlvBkTXOD4+Qp+AKK4APy3PTk6OM3OjmtqqkRsC8KXdve0b7hmK r4m5pZXyhsaXDOFDPO8xgf8QLwDtGY1mLbCxFzuyjVyiJykqJ+qmu4niPezt 7RSWpwVGyIMildpg8auCuNi8uJ6RHiDYUWF+y3B0fLiyvoQco5P79QDGdmtr dWyiTx4qb22r6GgtW1udv+lOofi+cH52NjYxGBKlDE4MzirJScsNlxjoVc1v TejavEVApnJje90/JdiJr77nzjHDcQE7egS3x0Twyn3J4vglBzf1tqxtrU3M TTb3taBGpBsHUFiAFjM5PZyYHuAfJg2OUgVHqcNjNQoD6xnbQpegRz6Gmhpu DY6ODgrKU9h6Yvdw+8Hh/k135zbj7Oy0p7M6vyjGTuxgjNVUVqX1dL0Z6Ksf G+2amxvd398xoQ/BnxhHx0fjU0NF5ekhUeqwWI0xROIdwJMZSCS5Y2h6LGRd OkM9HG4JkNnsGe0RBYnlYQobLvsRgYewo0d4wSOC4CGe/4TMt+MqRQG+DB2N 6sOIyYu56V6juEB9S6VKzwiE2BHUQqLV+lBJbFbExPzk2ubq2ekpKsZvAc5h Y+D09Ehyqj/bB4tT2fH9KF2DbTBJRrfbvgqWFycTciKsBHbWAvuwZH1jfX5V VUZdbW5DTdbczLDp0i0BXV8/FZDpXttYCY3R+IfLgiKVQOQGRCoUfjSpgaL0 o/N1zKKaSiiaCeVIPz6QBT6/siAKFMtDNc/oeHMyA5AimCDxnlBYTyjMpxTG Ewr9EZH+iOwsDhaPzYx1j3RPLUz/wQm/8VX8nNje2RybHDREayR6pi4UsSBB LSzGIyRK5R+pNIZJm9qqTbA6fNOdRfFZQNbU3u52yqsQjhZH9HDEKm3pnm4B Sd6oLfeL4/TsZHl5Zmy0yytChVFinCTOJA2R7ElylDqHJOnKKlKHRntMqJz7 yYA82ja31rMKYvNLkhLTA43hMpU/0yOA7RPMV/uzpAay1EAzxGg3tlFPpFuI 0emZRwTRQ7zg0bv9NS7cIIPSQ7zQkiFh+HKdpC6P6U/cVdi9gz3Tn9mZIfMU Gk71xQEb/QrLUnWBfMCIwgEjilZfWZD8wuU8LY2kxuFVWJaenVaWfvW1z/nJ L9BtFP8IiM4xuzSti1djFDZ4tQMgSCSNk5vcKr868/DoANluQ13OPh/IQ3Bh fqyhNrexPq+nvRwwIieps63Q3kZobyuyBxzJUeLE1LMLylPWlmeWV2ZR36Rb ifPLBYWsKXB8CluEmjvfirQEhZGmCWADaiTWkyR6MmhSAwU0cKAwUkvfZA1P 9IGFedMXgeILYHxmvry+NbO0WhoQ/pDAMScJrwjSZRM8IvKfM12fMq2AoKD4 UNWR6viChN393av7B9mnA6+La0uzS7Om911fru40dDvgi+D4+Ci7MC4lMygq 3jskSh1yaTu62GILkwp86RIDS+XPU/lxdGGypvYaMDmfT3LQ5++NAFk+g+O9 UiOVq8UT1PZkjTPF0wU0aQBDYKSIAujZhbEDvc033dNbgtPTk7a2yqLSxLTc iMAEH7Yvw07s6CB2BK+AJtmLHa0FdjQvMlfPzCiM391cRtfF7cbZ5fzWNZXr gwR+YRJdqEgTyFEHsKUGqgymRldNYqBwvdz5PtjAeM3Wzga6pfLjApm7+NyS exj2L47U/7Qj/+bGuuvOenjlgwQ3cxJgR278AF7m61cVTdWvG2t29nZ/75yt A+1MHevo+AgKjz07m5yb7Bru+vh3v/KV3WaA0Ts9PV1anq1oqjBEe2iDhIAR +YXLg65xpIhYDWhhMWrEsiTwJmZXZf2zpYpQ2t2dtXPUEnjTGBvpyciJ8AoV igxkro5A93bDKm2xSjuC2oHl5a4K4rT2N5pgQnXTPf1RcXJyvLW5XF6Tj1Nh nWWuQB98ybcBdAiQItCcZS7uSne6D1UTJveNUkdnReS9LRibHUcfgrcJiAq/ f7gflZ02tTB/cAhlSC6oqWrq6ewbaHtTVxSTpAc6KVBOX+VERSfpFH50if49 jiT3o0mNDN9I+chkvwm299/wJaH4R0C8yEamZmkaf54ujAdosTGC7RPylCx+ iBM8gmP84Y023jMaxU2ixsv1thzVPQyL5ROoCIotqWk+hzNvg5NMzk92j/SM z02AA66Rd7WtMzQ1TPIit/a31Xc1AEniGe21vrVeXFeysrFiQpnSZ2B1c81N 7i7ypYdEqf0jFUGRyuBrdqTgKKUhFPAilkhHYXrRHAWuQckxJjipy188/9nZ aUtL1dbWGjgG7GhqonljfW5ubvz4ym6MPhS+CSDDrOl8YKI3OE2vS9AI/ahM HyzJwwmQItBIGiekUb1clWH8rqE29GH9Odjb2+rtrh0d6YjKCrfkWjlKnRwl Tg4SJ3vIggTGmQjYEXgleBCwKqyNwA6jwjX2QIa7r+qRe3aGePyi0/rVAauD 58fHJ2x1uCWdw/XTMHyVYa+SHlNdfMM86xpLu3rrSysy/MKVgZHK0GiP0BgP lT9T+r4RSWagiHwp0RlB9W2V03PjqAvoj4gLb/zNreKaJr+ETIE+nKYJcBJ4 WrNlTyicJxTWUyr9GY32mMiFmZLwPoZz151lhuU8xPPvYzngwIIuKahuMMHr t398gKFnxebFM3UsRbjKSeqS/7agrrOupb+V68cXBIgYOhbeg2BGeRiZHSUK EgekBqGS/J9heLS7qDwtLtUvMEIeCvtjB3/UwMpV+4m43lSwWu3ZvJd0vr2A NbM4A33/U2N+NRGXxmRoagoLE2prC9fXV3a2l2en22emOrq7KpYWBs9Oj1Gd 6Bujf7QrKNnHEKeW+tGoni44lT3gSEQPR6RhlbbyYE5NXeHl5KLL6h8CMs/C j7O0sgwnqTOgRnZiB8R8BJqtyOEF18qCZ20tsHVTYoJSA1u76hbmRo9Pjm66 4yi+DBCi2zHY96st3dxF9tCd8YiI+5ctmaqUuogpPC+ah06gNgp1oUJjGBTC FhAh14WIfEOFCj/6BxxJ4IPjermzNC41LeUnpyeozPyxADulmKqaOvAKnSYs MTyjgOQhs+HjnzPxz2iUZzT6EzLzMYlzba9N+BAveIDjPibyHxJ49jxVZWNb bkXtlT1fG+/rHesDuNALtiUQJuDVgvPSTYVlG7gucjd1pMZWaA8EjrPM1V2J BXzp+AQtgPv3gNCYzp7GsFjPoBhNQJQaNhypP2BHQVFKr0CuBCxSI1inZDch 25kvekQmkVS6lMLK45NPBz19QFZ3d5YnxlrbWktamktaWyqnJtrmZjrnZrsA TZqb6V5ZGt7cXB4b6z8+Rh8NXwvIjMwtTfun+GgixJIABssHy9bihHoSS4sl eDgg7Iji6cLS4ngGUmZ+dEtLxcrqggm1zf5DwIN2elxckU7yJFO9KTg1zkXu ep0gqUOlabnhecXxtbU5gz01Xe2VoyMdJ1+TIO3tH9Q09ydnZU3PXuQW+Hq/ hQLxxC6ofvPflrT7dpL7dqL79qInWIENj/aEibXncJ66KJ5gYOlqoKr96Sp/ hkRPkRtpMiP1yk9bAntui/UkbbgoITskKMFzZmHiY3/dm77WnxjvEnT8ySwg hHlrdyMgzc9J5viE+fQxifSExDUnsRHbEUSNiDzwpzmZYcEi4z3Y/knJ97Fs C7o0NqcYvHpFJJbV14dmhuI8iI5SZ5qWgRAhx0v9C6vGgwOcmgCokZ3IwVHq 8oz1IiI78psMxO2ELkFvI7RTBwpCoz1gLUYB2pUDUlCkmunBFOtgRcZIoano TnyWA5drhmXIA6MOjj4hzNc2N03wXdM/NnV4dLSxMTc71ba62Lu80Dsz1V5c nNjYWLgw1w2OZ6c7wOvcTMfQQM2b6ozFxUkTKrS/DmD14Xxrd7O6sTSzMEYT zFUEsgR6Et3bneLpfGU+UgWyDZHyjOywlqaK3p6m/f1d5Mso/i7Abby2vlhY ncPVs7EqrJPU2Vnq4ojsr4FXiRN4Jz03svrNqzdvs6rfZJaVp0xP9n7V/gCM TS66snz5KkZKVvD+waHpSy+33wt+/DkXNWI3GBqde4FR37EW3LcX37MTPXRn PcLRzfHMO9bi+448cwoZryDJjWSaB4nvQ5H7vbe/pgpgegSy1YFsmZHmGcIP TvIuKE8dHupEzn99VP94gNEsW6ZLMnnTvQDPxzVNtGdKaVJBTR5X7/GAQDUn 8eDoft4jIteczH5GJztLKXRfGkkjjs4qeUYRm+G4/+1IfYDn/urMMsOyLDj2 NkJbIElsLh0ar5oDJFhcAGtCjNXgT2u+jThYMrM0e3h8eNOX/uPh7Oy0qqVa HCy15VmLfenGMKkRLjKCOGn7R0gN4UK+N0fke2nsNYI1SxbryEIde21j6fp6 A7ff8cmJMT4TEOCG7nbwDlFpyCx9HZoaHpQU2tReXlGbJwvybm4uHhuqB9To epuf7VqY61peGrmpcbj1QBSc9a214spMkZ6MUdpiVXZ4tT1B7XDFjpB4f3e5 tTZKNj0/PjE9NDMzdtMd/1FxenqiCJXjgEIndX7Js7YVOdjBDcgua4GtFR8q t+QoccYoXMGzT6yn0Lyp2ZU5U/NTiEHgi/vGI+6dgyMdoTHaqASN1JufVVQF x2h8+UcGvAF0fnIC5MHR+xfyBaJffyAghGRkegKrFD525961Fd+zF90Dr7bi uzbiB67cJ2TqCwqNriHas2n/tuU7MdkiX+p1J225kWaIVvjFqiPS9JOzo30j nU3tb4qLktbWFvcPjzRhCb4xqcb4jO4haJ2e/Q7/eZ9H/UTjjyTY/NqXvLOz MTM9NDszvLe79Re6BHWmf2wqMe91RHqRi9DnPob7mCC4Hub/EC98SuE/JrHv Y9lQXBsR+t8nUEIAgQWT+pTCeUqjOUgcHMROoH1AkC5o0uX74ACQKIKGyPXj e8X4ID6oX3U0bhkQRj29MC0NkScVxCsDhd6B/NAYj9AYVUi0SuTLIiupUgP5 evApbAQmqwIYtmx5dFYR0EMvRPrZ2fHJKU8X+i8nGlCLAGUtb2i34yiF+uA7 brTnDJqjgGdGctVGGWoai1YWe+ZmOq8I0sxU+9REy842UswancEvD+Q51dxb z/LGiP1oDG93qqcLSeMICNL7NMmB7Ame2jbggOWDbeuqM/1kQvVLAQiinf3d g8ND/9RApo7ppnBHFDqMEsPWs0SBIoaWDt50lDi5yJwFvkSqB+YFx5KlZ3+9 Ls0vbXoYVMGRstBoD2OoPChKB+6LL3Vy5CZp6mkaHLuwgy3Mj/f11prgRCIb l3XqTT9T+l/YnmZq7GnHyKQPnYX3bEX37C7aAzfOA1cOoEmP3XgvSMxfrUWW eJ4DnfMMwxfp3jMicb3cxVq8RE8KS/Rpanrd1Vmbnx9dWflq7+CI4RX0qzP9 F0fKU7JocHzKdGmz+qAPJmjqpza3VvcOft5kSkBBGJ+dqO2o3dqFEm9+/h2I 3MZACxgebKmpzqiryW5qKFhfX/zjbyEP3LetXRZ0yX/akaAytUTBR6mQ+A9w UFDbB//1ECe0ZBGs+a7PqSJHibudyP6T7OhjmxJQ0IBGhlHhpuGM3D/J6vtS QJIndw9303VAbosN0Rq/MJkhVEmQis1JPLyEed3qC9iRzEhhe9Gc+azHRJ4Z jlvb1mO63G0HiMkuhtI7YNhMra93ZOI9DOcJWQhnU+c9wPGe0ejmNOwzJj4m M35m6p35aGqybWa6++hwBz4HOn1fC6dnp77RCozMClAgqpcr3csNNI4Wx/TB EC4zRrpKLT0jJQPjPQdobrovgcnJvvqanJzC2Lzi+PLK9LdvswITtO4qrKvC 3VnqYitydJI4i3RkuZEqNtCSihK7hrvXt9bB6+7+LvSE/RLLAazO5vbGiIQw jVEWCuXrUPkGKQh8pUyX6BeVcwIblz7zZ5DIuFcV2UwtbWxyYH93A7zZ0lqe 9TpzZnoQPD7W1xaODvcG+xvXVuZMt0tKw974Z1dJIK8uDZGKHQMD9+wFgAvd t4fZka34voPgviP/Ljhw5Js58X6zFd+zEz7F8O7aih45C0VautKPLjNQZeCW 0JOSckLT8+KNkZ7xGX6xCV7JKca4pICSkpTx8QGxMcycJHyA5/H1YbNLKx8z T+TP4fE+iYEhDfRg6T2bezq/k52mr43t3e2OwY7k4pSOIeiSJ+Yn3ZVYR6nz 3PIcbFf6AiMwNdXf3FjU3FTU3FgIWmN9fmtzyUBf4872+h98C5mUuLzU3zDu d93Z9zDs99gRHO//jE614mFs+K5PyKzLbNtQKgBzEv8JwzIwJbKwpuQZ+4Wj xPn3zEeQYxL8vzZCO4aepY3XrW6sHp8cf/5V/2y4jEBcG5sZ29nbkYXK3KVE C5rkNzc+RswEjEjoS71m8qUo/MhiHZUoZ5rheG4Sn6bu/uEJKKKtsav/dX2r yBhxx5VhThQ9JLDMocl9N/WIIfEJmfeAwHhG5fcPNMzPdACaNDrcODnetLE+ h3TnRgfjlgPM9fLaQmVzaUiyVuZHlwcwZf50kYECaNJFmL+HE89ArmgsufrG TXb3BwfgNgcHe63NpY0N+e1tFfllScpgCdmTaA1VZLOzFznYiBywSjeBL0kC pwRU+NEIaqwdLNyYejZSXOBz+wBtop3UtzR4GbkhUfKwmKsk+Sr/MCVbLhBp eIPD3abPS3gF7WWcIxFbnTZCe6GRE/cqpGuoK6M01UZgm1UY095cXN9Q2N5d X12VXlqZPrM0Y7otHOmTG1hXvtOHR8c8TdT/MqeZOYhhdgQ4kvAdTXIQXJmV ADsCb/5mK2J60FSBQNJCNElhpMel+kUkGANitI2tDckZycFRBhumxE0gJ8uU DjwlbG3gOvA8+scQC9K7SYQ7YOobHXQQkl+wME8Z+H+5WwelJZj+cOSvzvDj zg7S8+X1FX2iwYL70kXuporw8InzpfrQrPm2rxtfX3zsnwo3xF1hc2Opo72i oS63qaHgqgGO1FSf39P1dmVl9vcspcj7K+trypAYSUA0Tq69qlcLb64xbASu DhJ7R6mjk8zBiotBWJM5iQP5cpO4VlxnrBrTNtBO9qZaC2w/3mUDvMgBTifi InNzkrq85FkbUwIQJQjFZwJM3OjMiCYi0pIudOZzyAoGU0MTaKlITle5kczS 0Ow5bBsW5wWVAz5jyZD84kRNKYJuOZ/IZKDLWLMU4BVOeCUAs/mx8RC8fx/D 5Wp1czMdY6ONM1NtA/2162tzB/t/voGL4kshszTRimNG8HDAqexwqndbbBil Te8I5AJ6enby40rI7wTnsCzc2FzjGDi2QnsLrtVjxjMgr1xkrk5SZzuRg5PE ie1DUBipkksFROhL5GmJNC3dPzUgqyKrqbf5j10r/3i7CnnY9fS3hESrQ6K9 g94PUAVvhsYocgqj19aXTJ9RDe7C02aodWqi1zvaC3A/Z5krVoUleZKAlAZ8 SeTH62l/nV0Yg1FiyV5kW4FNSlGS6RblIB2fna5oqkM2sPrGhlc3LgwIgB2x VRH/+zmWovJ56Ci9YyU0cxSYOfGuNtrea7biu/aClwwKhs+kSFnKACB1qUAh 1QQw/cPFIVEytU7izlWakwVWdJElTXQPy7uP5SIS9Tc3lpvEe2wG0jGRSUde 6zqanjNxzxj4F2ziSw7pGQNH1Egm52dP/9CCdAsW/unpacdgR1pZBtfIgxK0 8qwtuVDlDsAfIrOj37bXbMH+Qv/sSpFvDfY31r7Nam4suk6QkDbQ33j612w1 DZ19OLnvPQwb2U17QmFbcYnWPHcbHtaKbw2UCwsm9RGR85jIt2SRrflugC85 ShzAmoLsz3Cc2nVqdPUn5JstsGUZOO4qLE6NFwWJD48Oz9GKj58BZPQQkdU9 OMb1Zkn1RJmBpPAjy4yU6wSJKGcAHYevpUr0ZIYHlaeLPIHJaUphxa/OjI8Z 0QftCUnwL2d6fFbKxkr/6EhTS0vp1GQrmtbjmwFxXGzpa4jJCWX54kgaKAMS yQNOEenhyDOQ55d/V/dB8XeBDGP+2wKOH0+XoPdPDdREagQGNpBv7nKXq6pb SK4bsZ5M8cBiFW7uSoyd0N6c/oShY/5BFtw/3ShBvnVwcOAbmv7YWSLXKkJj ruU3i1HDTVNakfmZF9g13F38Oq2juSgkWW/Fh+Jr8B54cBUOEmfENT0tN0IX 7eEsc3nCemGI0fR2Vu3tfRlXkJsFEFzzSzOqML/f8A50H6VvXMQLFgGj4PeO DA1PTYAPpBaUJxVntfcNm9nJbOlycxzrLmwygmxH19jRXVvxA2feCwbRgsw0 dxEylEx1IF1mpDM9SQwNmeNJ5XtT5QaeWKt5ThY+xPNBgzTQS5XzAZ5rx1XX dfQcHEJhxYht5OjokKDmPqFjLTkk0CvQLFjE50z8I4pbTlUZsi147UKgnF1n 56cFbytJ4kCmxq+4rtL0w04QIEhkb+oj+hNbkT3kzAzvNyHGFhuhHVh9GeWZ 61vr/1jQ7e1tdXVWNzXkf8yOGmEL0vb22tbW6sHvG4GRwc+vqrOkyxx5HnDK IwHgQr860x4TeU/peEmwlOqpeUoWPyYIzCkYa77DdddrcF0fsyNXubsjrHkh AW4Ub6pHlOYF27Klr+UyPSyKv4er8E/EIIxgaXVW6U/TBLO8Qnl8LU0Gux5d bbEp/ckKP8gTSaxnhSTpiqtfvW0qB19v6xu8j+V80uUM2UKFSxXz77pz8VJF S3vlwlzXzHR7f39Tb0/17g7qnv3tgMiErd1NroGEU9lRPF2wKjupHz0pxTgz O4YqGl8WSOrjypYqrAfeTYnBqvFAgrnI3RQBPLGedJ0gMb1wVgJ7G6EDHKXr 6Cx3o/jQUkpTPynGkXdWNzfml8dNpsOTk5OPJw0Rwq9rOv7XIypNLAqJUgVF Qi0wEmJHGqOstrll72AXaJe/1/k/vhOQ/9072HNX4ZRh8uHe2sAEH6TAnJPU BaJ5IgdYmbXj6JhYJdZO7MDVsTLyIlsbC5eXb8Mu2/HxoT5K/pyBsWCTzGkY M5IL4CFQ9j8GLiwzsXd0eHFtua6l/yXOk+5hsOEy7jvy7gEu5MK978i/bjsC fz6jk8zdOb/ZiPEihkcgTe3PkhvpQC0V+JL4GlFguN6RK3qA5z8lAUH6CQFr ThI+IYtcxV7Bydln56bDoz1liPox1d2CTUTYEdKsuOT7BKfwV8kmmGCfwnL/ iinpIzP/05L4LwveCwonoTDr5PTk9GO37+8egB2BWzoiO+oFx/KD7SeIL8Hb T3ZCh9Hp0X/kjgWNx+zM0MfU6Ko1Nxa2tZS2NpfOzY1efeX3cHJ6KvGPvuPK eEIWPiOLYrLK4vJS/gf3a+irsOHJhbetnd1D48lFeW5KHNL560FqHxAkIFUI niQoMxLMCa34NsklKS19rdtfyC8dBWJBAjfY9PxEenExRW18RhG6ClgcT9pV IJsE5ksiXwLfh6QMkMVmBte1VYBv5VRU/+pC+1R54iuCxHlIZLiJPDu768dH 6udnoUC2hvqCqakRsFLR6ftmABQIiIWDo4OcqgyWL95FaknycAqIkA/0tdx0 124hLpnMWs9IT2R2FFBg7cUOVA+MzPhetmSRjszVEpheeFe5i4PE0UXm7CJx oHsR1zZXTR8JN+TPlr4eRZjfwnI/OP3W9uTR8fbh8eH+4bvUZEhMcWfvRERi SlZ+VFCkR0ScKirBIzxODZrGKE3NyV5emf/4/H/xugCA7K1qrab7MqyF9sUV aa8r064ShiPC/KoBymTJsw5O8G1tLJgY7/m8Qf1ecH5+ogiSPaUDgkQEzZJD smATnjHx7jKqPEj9gomvaKxOynqbmFuCkUl+teLdtxc9xDDNHAVQsP81C9JD V46ZI/++HeStbUXgG8PEYTEe/uEqjlJCEPJIIqHKoCNIFPex3Ie/b5x/gOeZ E3kBCemA1JycHJXUFLvLmdD+2jWCZMkmPaS4e8WErG1uXL+QsbnJiKwUa7L6 jrXIzF5iSRW4yFhTC3OXl3mlPn/vVggkd31bfxtQLpThKrI3BV5xFxtP7kos yZMiDpbqEw1Dk0NX3/q9/F1/gMmJXpgOFX5AjRrqcnt7arc2V/5ixldAQTna kHsYzi+OVIzUxwR5Ty2GZISV1pdd/1j3SA+0KS9zQVKFfLC4kAaulORFcYMV E/An4EtA5vyti0JxBYQLbe1sJORHhKbpazuqdmGjN3KrnJ6d66JDrOkuDA+y wPc9SQ7bkag+YYKgBM/V9VXkbMU1TTRP/6u91I/bQwLvOVX0GxYXnha+tzXd 29swO925sjTU0f56fh6NPbwx1LRXSgKZ6XmRUxODN92XnwLxhYkOIgd9hFgV 8FHVLSMVrCyJnizSk9VBbH2kNPZVIBD1y+vLH5v1Dg6PpMG+FY1FJtPm2ekC 4Egb2+NBaZHVLW+Pjo9PPspudHp6Pr84L9Ro3RhciZfSGKqKiPc0hgjaOqFI /E8++MAv7u5sADn/e76mJoj4rVK19MC0IGuBnYvM9e3bbK9whQXXyvGaAEfE tQMkwO3xHvg31a/6e+tOTz+dhP8HAjICXlGBZiTXq20spL3kEK25eKrKtaqh AHymc2Dofyy59+wFj3EMMycofu0aOxKaOfPu2QvhfTfo9YGjCMfnaAJZviEi 3yCZb6DMlS38f17SfCMjlH5+UNqcT1mQQAPK7HOq+DlFGJsN7gpTUW31MwbW 8n0LEuBvFA+6d3TQxvbW2vp2QXlL7+BU8dt6eUD4YxL2MYZ9z1YC+mDmwnpM wQWlJdR2tIJPfuLav1c7M+hVfVdDUFowz19A9CQ7Sp3tRdccmKXOznJXnAcB MCW8B3FgYuDk9OTkb96K4NZdXJhoayn7wEP7Gk0qam0q7umugcuPvjdQH4/b OZw/sKVnMKeiZndv//R9N/tTaOMTtFMAgob0gPoItkLjABf62I4EFBOghtB9 meDVgvMy9FW46TIB2m3CN/AAQc7fO9QuM9KwChtXqaWr7KUihFPyNnt9cxX8 78jUtCZYFpKkCUnyFPrikFz3sPkIymMm1tNT8pPXN9eQU4EbDCvV3nVnwRH9 nzL/EoVgUVuxWWkl+fVtVQuznYsL4yNDDUsLAyvLf26ERPGVgJDk718rvAWA o8mA2nE2Mj3C8SEgQdxXFSWuN6GORPXAiPx5dF8GVo3HqPGNPU2may7NyOId m5lJLkpfWBk8P180nS+ZzpePj+f394GusTI82bmxvXYVeA77Fl6sr/zyFrwg 2MxBbAhVAXaUW5T4sWoCPo7keFxfX6x7mzUFF5EHWF6aHhlqPbpM/nB6fgo+ CR4W4HGjilCD59ET1gt1qLS4PBkyIokujEh2QJOVuTpKnO1gpoRRYvJL4vt6 am+B3EYGzpgY9Yji+gEPec4kOAiIeAVpYma4s2/ssYv8CUZsw2E9dIbj/R0E Zi5chBRdBLVdHty3F/1iIXRksBQBJLmRJNazA+OMPF8fgsLHWai248jNSZ/W QB/geaABjoQVq/tHoIy7bb2N7mIXS/YHzI3gLKYoQ43dI4MdA0P/91PXf1kz frFk//cL9mNnGZLrG6Zq/EcuIism0YFPbOvvHRzunFuYml+abul4e/a+59L3 FjkO7quI7Ehdgl4QKHKVuyOlN67Hv4ObELALW5E9oPRMHYupZwdnhHQOdc2v /NWySqMjHe1trwf7m4YGmlqaij/FkfJBq32bubw0YfpUuNwfB9D93sZf+0B7 bH5cz2hv71jvS761k9QZECHQrqc8AteF1xABibLkWpG8KevbG3/xon5MfJXr QsZ/cWXOGK2gqB0oXi5kT2eSxtldYU3ycOwYvNhnOTwCQvJ0/2AvITsUSHKP II5ET1X4QW6l/z977/2VyLaujf5J945xf/jGd87e++y9QueczTkgCCg5B8Wc I+acFcyiKIqgomDOOWcwgFmEO6tKaQzdq9davXb3Wme/o0Z1WV1UzZo1wzPf 8LzMKF9yiGdEGntPf6mnFZZU/Y8j9hmaATASgEM3Oi/ATn+z88UGB+oPVsDF Bj2EwVaWJ5eXhg8Mur/u5/tTyMfA5G9bjr+8IEA0uzobG+obmEThxuAYEajb ulnI5yTcJ0jIyK3Nm1qcupONCqwosaH8yNzkPf0S6MowQNoE0Mh0sXF2tm44 XJT1NN/xK1itNDwx/8qDywyJyCpMGh7tNlt/enhpBhDRQL9saFAOVjE9XbXq nob1tbnJCfU4FLZT0atu1EPr4ksZnBz8QLMF6/HAVB6YesAxO4HOiKe9p9oC RAT2tnR7N56bbwga/PmOahOYzFLDk8jRoeEPqON/qyCwM1Nc9Ajt/J6MscYh YHvph3pL8imurXMjxGaXNekPDdnVFT/bkR86UZ94+t93oN+wsiGR/j99YPmy BfxYCp5PxPFRVU35Tc2iqLSU7IpiL07wj66EO9VHj7woH/yYtkT2I2/aayxT uwsNy4dHhsS8kFd+bi/9LaXycWGivdkuKL6vXNOztrXd1tsZkpb+kw3lkSP7 3hXhwAN7+lMU1pbqhwmkMcPJi0tTTbKKGCErNJnKi8L2DXS0yKu61C0Hh4aT k+MScerp90SYhgDv+dV5AH6cOC7OHFdr9RFCDYRYgZHm+pLw2pHtAuB973iv +csiK41wsuCDg73hQXmPqu5Tnkjjo+3GM9ArT5AxFullB4f7m9qVqz8/Drlg NWO9ogH73kGlZkDRN9hxdHTQP9y1s6u1LkN8SQIuHI8Nw7+lfIBzrjkjG8B+ PsGYuOJ48O6sJPaufvcvNrCfnZ2ubyzt7qyenyOt7iu/HVJdG9trnDg/FN8O CWICGzbYxS/UnRGDnZgf1e5u7Rv2LD8BaEq3uxWVXfjMh+BGJ5NDcfw4LC3c S6GWmq7ylS9trHrwOA+9SD+4ou554GCPo0si0AeeJHZ8epa4pn+sx2zWnp3t nJ4cHh5oT08M29vzX/ft/iP/ke9ctvd0E9MDq2tzW7qN2Cw+KwqD6JE4Mb70 SIwX382Z5ZhclqwZVZ+ene7sf45xznC4ZzZtm807ABeZzVvHJ8tt6uaw7ESf IFZlq1Su6T6CA8+tRxAkFEO3q9ftHhmNdyf+2NvdhuhcrnwqwL6rowq2JtT1 qOrBwfbW0snZqaSjERQSHYp9T4NQECbYx5XrBsZq8Cc5mgjGZ68AT3oMyZ3v AZbqxAg/V46rLR1KptnXL19fm0F81//UcnGpypt9T0Y/8XVHlEhviCjEH+k5 3hMtIOl2dZvb0Fg6t7z+2ot/38kfXPbUnXLPhonoiyxKGxgg0bxpjLCU8Aeu mP96jbcj8WRdrUp1K4obCuvhoawTT2+rj7ypLzD0d3h6bFqCpKWusKp2W3e5 6jw7OymqL3vtf+ki9djX7ZW/V1lD1r5+dWhs0dU/OkpYjWWm/uM12boYALkB FPfKH/UE70kO9aupz5xbnErKCIgUMvhxfkmZganZoXEp7MyCiI5uaXFFktH4 fSmRgBQ3lrzwf2XRZN5wZgbN1Ynt4sqD9EuYUGz3SM9veMTW5mKHQnwbIKm6 atSq+tmpLqNx7cK4emFcM5ugpn5JvKCpEyQSD490n7kz7CNqrGssSs4MTMsL zcgPj0lm5pXESVrK1mECMSDr2vV6ZUPfRH9KRSroa+BN8RH+r4lvfMNw7GQO wG8Dk4PEaPLpXyj/O9KkNzdXZLKSpUX1xvrYgWH7D3rKnmGXlUjwCrC3BkgQ RgpzZ8b7+Qa7xOQKTmEClitWDbNPQMw/HLE/upBsCGRuLCEokTQxO2y+Whcj utZmVVdujThAmPbQi/gEjQb7n12JoelpWt3ihXFnb3/u5GQV8kHTTq6tDICD Q8Psjm7pq7/jf+Q/8r0JGPIWF8fmZof0e9tgUB0eaLs4Pzk5PR6e6g9IIDGj 0AAmMSIx/iFepDAULhSADXcw1gVnhhqvAwmk/65vb1U0S4olZU2d9RvaSbNJ azJtnp+vnZxuZ4iywBz9HO+BD+MbDg8s9nrTF+R3Ozk+XFgYNUPs3yOdykor B9S6HvgYACeAkRYXxvb3dVwhzz/YgxaFJ4Si3HluHnwPOHwGmoDceO4AF3kL vDXd9Un5Ea9I7zDBaHY8zZHl5Bfhd4BkQP5TienSTfnayQtYFb+zt+0XQqZE 8V9Dihr0S39Q+V7g4BneCxVAWd6A/JznlzZeuPP/5eD9joJ660t75MB56MB8 aM+6Z0v/8T3Voj566kH04qJ4EZzsYhElLIkendjR17mhnT463hiaUL/wZfzo RnroRbnhp/3Ak+IXEJSUmSCuztWowAdqaGkuOzzUI8Wtk5X4B7k5M7Ev/bwY cQGZouKBsXnjhfnk9DS7stKJyrL1Y3/wDbxvT7s0+dnTEVcosD11o6LpnNBY Tq2kIC03LCGNx4vBhSVRI5IZcWmcxHR+XAorMStsx/C9BEmBz7G1s9Ux0IkK QtvelYnDjgkap4dPCAYVjPaPJHgEeHkJUI2dTbm1eXXK+s+8xTU/ImSm3li4 7YMEOkhvT0NNQ97AWKvZbIRT+QC8c35xAWHIszNDQi7PX+Da0JZ3dr6zr185 Pb2pR0VuvrO7nZIVBGpYmCUA1Z6cKUhI50UkUArLk5Sqps2tVeufDE4NZdfk Lm0sVbZWza3M8VMDypsrwHlQD4fHR595qT+XwF4KZxvr07PTXeurQwtzPQtz fQeGnfPzk6+rR0IgjbSzzp37Hn2VyR0lcACbd6CDF98WG+QckcZq726CvddM V+Eqh1miOh9+NIA9lDDf9JLIg08oyU/PztXD48GZCXYUVkByinZ35vh4Sb8/ B9a5xvN1s2kLHJyerIAmZjZtHh8B7LT31/iC36cgMyMS0fsbfms5/gt41X4L QRhpjsdGOpTtIsso2tlRJe9syKrOFqRwKeE+lkh/hA2JGY3nCLmt6tbT87Mb qAb5s72vh5UQCebif7rZReTEm81aE2Jog/VI2p0paVfrpu5j+JvlK1rA0q0e B/15dGQAZVucH9naXFJ1Vn/KdtAuL58Y7ZR21PkHuYYJKYIEAi+eyE8g44I8 4EhqaM3uxHJ25ziVVKaC69357m+pNrHZISiBV35F8v7u1r/BzfIrysX1yRHp R5byHx4f7um1mtEhdCDBi+3sQPN25xLRfG8UH3PP2yGhOBdcOTAxaU+ltmqU aFb0I2fGA3fUv94T//mO+MSFZY8PglKQQKokxj075s/Ovs/cmJ2azuW1Cd3u nHpYNb88tro2qlSKwxIiiUHBTmS2tRvSMx/aMx+ITPuxFwkfFJNWKt7U7Zyc HF3FBZuUaikl1OOJr6MHjwxWsbMLmy7+ka88+Gh64mNX6iNX/3d+pBc+5IfO lIcw88ADB9ojV9IjV+Jjd+IjZ8r/vKWjmaTEDHZsCj8zLywhM4AZ6QOzvuOT MgJSsgWBMfTKxqpv82GuBPkWM8sz1Hg6OsQXSmcP80vcmZsM8dOGPJFodgib EPhVcpmwB9Yj3fagtnhNfyQ8gK8BlTw+pkKWDBY9UldnTZ9awo6jUhPJNe1V IlnF4FQnmPLA5fuG+ficAFYUBmyCRKKwICgum7O+NXQnRys4U92QH5vChihe MyD2e7BHwFJUEi27KBqsrRD6+tu/nV2e7RpS/Yn615fL3u7q0oJ6dXkQzt8K bWsrQzBA+loCVdr5+XlSYTgxzBMT5GydyR3ZfIOc/ULcQtMYtbLS81sOeLq9 /dxKiaxL0j3YfsM9z3S1pLKc2dHrt3SLYPRGQJHZtHFhXLeM5IhnqfF87fxs +y/5Nb+5IOH8X+tuYDTQbq/+8nX/kWsCMwUd7g8NyNXd1qS7de3yClFNOjMS zYLVRwhGIoah8MFe5HCf0IyAiYUp811OEUhnWVhbiS/KGJjs0u5OX/ogwRvo X5vaCdjz4fLpSJDO5s7W0PTQp4sJydzsYFdHNdjU3Q13UgRfzgLKqvW12Q3t GpQ/LgrDjcVBfomRaF4slhDqDcrvxHa2ZTjiBO7ZJZEjfS05FcLXpPfMeFp0 XgQAhKYLo+mqbN+/INOiZmQyIDk3Lr/C+r+OTk6qZXA2Z+gzmXf3tYoeyfT8 6PrWSkwmhxbmWdYoPj6BGIyPTo43dyBzQK64/gcPh/jibEZMrBeXMzW/pBma /Psr0j1b+g/vma89ibRIBopDk7TLFlcnwIAJBlEwLUxMKEqK49KyYlEsLisi 1InCeehJeeoDOWa/92Pig6I8ORHE8OSU0prI7NINLWSWtQyoYASYXZoUyxqL GmosJ9tUQx+wrHuOhIeOzJ9t6D/bMBCTn8XEdt+O/tiV+ByLfolHE0N8w5LI iekBadnBJeXCgDh/ZJaPSKYHJ5BDkygh8aSqxnz9wd63wr2XWhc4g2HPiJqe wHxJeP0pgIR4HyGeSBBJF9UWG4a/vM/1NmkdULanv4PyETx3dXUG0SOpusCq p1qtqm9vF3sFer0lfwBlANt76oeIvOC+cWW9LIcS6smBw1SDk8nNyhL1YMPi aq/ZpDNdaC8ukOWnCTE9b26t5hTHJmXwk26x3ycDXJoVhIScm6y8m0xXZIaW 4v1VmCEhnH9ycrC7s7S2Mryy2IekcF1dHlic14wMyw367ZOj3bOzo6uLf9ez YD3VeWROoAfPBvbNdroBkNACJ2ywS1xB6O1fXnxZ4zdd+zQG08UaBKHhoduy t7iVHh0uHB58ztHiP/I7ZW55c3BySNbT2NItMX4p39TlEmloqAvskVMba3Mt zcVT8CRrucl/kO0vCjJrLC2OW1OmgOG0X90okeaHCilBCUR65GVcGysackmi RWJosRTV0HUPaqsbgn2dolm7CxCUAV6AXKEjaA+WIWumi0PkuQBfrSyNT072 sYQ8ejxjaGbk0+W8GB6Sg9H+M36nPV11HcpKmbLGbDIqNc3UMC/rQDwWzFQA YBIpDOUX4k2N8GFE41tkJRMjHZmVGS/8X9d3SJrk4uXF8Tvf698mJiteXKtz Jst0YzJdc5cdnVmwJfL/rw3KkSrIq27KrpQU1EoX1zbwwQn2ZF5iQTkjJu1G KOiefmduaerGcyGssjzf3odoKi6OTyAPsaHxeR9G6DMXpiuRBqbOPHE8MSTs gQdB3Fx/caE9PwOfctN4vr663Nc72BaennHPg2xxQ0L8PN/7c176surbu2+8 450tZ3B0vn9kTru3KyzPv+/i+9ST9MSD8MgF0iA9sKddmtgcqQ/B5kBzpuLw Id7cWCh2ID6NmwyxrwtCEikIAzwvBs+NwQNgDI7dGfb9433m72BSzqvL5wi5 vBT+l2S6hynffdLFGSenJzdKjtTe4MRMYpE4MKHguSsvrbDh9PTMCHNrWi4D k+nc7BDoGn1qyVCvFHTqiIyAd1QbRyjEDIoyc2Q5vyC8xYWgONfDMQIS/EHV RaTRE/MCAFIywxgbkVZFbbEoJTlTkHgLICVBXK/8lOwg3c6W+ROd6EuM6X86 GR/rGR9tQ3RHyIYku5+f7Zma6Bgeat3eWvoq+By5g+FQH5bGpIZ54kPcvAPt fQQO1hokQqh7iJC6tDZnvvUJTFfyJR3BZDq6Bodub+Ytk3F9Vzf3n3n26wry jXb1O12DClIky5PnYE9/xkkiXv7vJ2C2Tru+ubFotlqSVFdnK5V1ZzDj2eHB Ppg9GxsLD/7Dy/rrZXKip1NReQN7dHZUqTprW1qKK6pTW1tL0wtDmZE+uGBP ajwjr75gahGaYa8vCa1HgAuw7oCx0AaYQ2E/7W2w9NzTLxuNBpOVX6iqtw0V 6GlDt7el2cUVxNwJkpF169bmUqfyZiGvO6DW9nU3RGQGzq4uNLSWEYJcEPWR 9caCDYX8OJxvoJt/FKm/vw3AqqWFsfIWUWVbNXjK/r7W/D3JbfcSa9Ht7jvT gxECk2do+o8ufv9w8LUjB9hTBOD4DY710JPoQGLXt7adnkFKAOtV/A0Edvsp yJLTeHG2tLam3V0Hw3JNSwUryl9YEHV6Cj7o3pWmfROCwWbDxtbEE2/I6eip D5Rt5L4H+Uc3kiA2skyUU9/a0qzqnZhb3D84vJGZFIzWZ+dn4KGdA5p7rugf bPwfOTGeu7Pu2zEvfcUd6JeZcxENEsBI9vSHTpSX3kRbPz8vti8jEi2IJwCM FBDnz4j0uR53iaOFewtLs/YPDr6h3RTBt6DLxBcnAHSEDsFcuWc7IeFdd5vb WM5OHNf+yX6zdZZeeA/qEMBg8On/2xb9z/ekH95RfralrW/pLI+7uhg6KGoo ZMQQU4tjaDGkG75PdgxHd54rKxosHPAIswdYCkHdBAaZYE8J9QxKJCrUUjNk 4z5QaWTpeeExQlZyZuBtdJScERidzOgb6IBNqH81FHRLkECD4x3d0urKyNJC 3+ryAABFS7ASaWN1cGFeMzOt6u1tnhhXd3Y2jI1pEGxyXY/0q5skAi/FzUWo AHtcqBs+zAMTbG1rcyKFefaNdH0NPHZkNn0WIEH/u3V2y1Htf7WYPspvVhgi nX18bhQd6OnGsccEQanW/MI9MyuTNnXryDXW3r/Ih56dGVDIKxD8o9NtTk72 r6zM1VSlzc8OmiHL7NnIkELaVKDRtFmKOTHRd3zlB/gfyHRbjEbj6sr01KS6 v7fZEhp2Y1N31/f2SPrUjW3yCoCU6OHeISksxC52iVSveylAdErIn6ZTs+nA dGE4OYFc+y4utrqH2qcWZs1XFhZw2cDkICGaBDE3wktaSgyxtrnkaB8y91j7 0uzubAAINz838hmApOmul0gLYjM4tAif6Lzwopp02nUN0rUFchzelvIuICPY ZDw3GHbHx7q+hyaCPH9+eaqmrXFHb9jUaREsAfDD1s6GHk5guqVdBxdMzo8g F4NKGp9bxgcn2hKhNNzP0XSwPfKiPPQkI75ANv6ch17kn91JqoHhbpVkcwth Jr9Akh7e4pj6uLS0VlIhki0qsCFy3/lx8cFRlS3S0el+JKoFhr7Q/sAwF5Ma /w4H5Rx5jqZhuIG0YEFbe/X66kD/SPsDD8Lf7DAvfBk+/ChqVMrw1Jz5ykSI PEW7u9M11EuPD3+Edn/mg33iToAVR/QbbAOW9HBggzyjHKj4ADCzY3gx+Cgh 4xoYjkIHJVKJYSRZD0Q3+g25rZBJrW+iP02cXt4scmK7wok5HG3pdi8Ir18R 39zpjPSG/A5AKXmv3NobAfEV0R8cenMjf3L1f+bJQtzpX3sGciLzo7PKu4fG LBWLjKKtGvlzv1cviG/f02ytM6YhBx9odtggD9CvKWFeAEwiOjcLvAR1mFYc qRqQg/tMzQyHx1Pg1NKCO3VHabmh2YVRU3B4lKX/WrrVd9DDvq5cAiRIZbTY uwajo+XFvq11KAeHpl++sTK4stS3sti3tKCZnuxYXhrSbc+bLi5HzgujwWz6 6AVkqZxfrCJk5tUf6te3V+sUYmyIm3+4J5zP3QkFh7NNzA59yX2+4P12EE/s 61qjbcuySL8/e2H8vpaT35tYr0G/EC8hPzk6OUgqifIJ9EAFXqJf70B7J+Zr cJBQFH5ydnz7JxvrC4q2stERlRley9TV5a6uzvd0S9vbKvR6XW+vfGxUBWZP cH4LDqNYX18sKIju72+3vhVkkvtLddLfJcbzM1VnbUe76FPo6NJnW1mlBNd0 VLbKK/hC9nvyu7Lm8huq8ouLs4HxKd3u/tWfV/9lOjs+Xj49WzUczO8Zdm8U IDgz5CXhtTPnkk0OE+QTlMIJSgvogdPKWG5yenrcq276TCGRkH+FQhQE8aGh yWHeiEOFZahnRmHoEWjYzxwLZoEgITO6ICYF5vKFH2S83pK/gcBw5cJoPEvK DXJnOHLjWdxEwfHJybZuI6UwghnlI+usm5ofDYgn0CO8RY15nV2NCkVtV1fj 1uZS30C3jT/zoRcFoS6xcJg89aGCk699aVVNjc0t5SPDnZY3/FXjpwlyBj5v 75amFGdQI4KdaPT7buif3fwAGIvKzp2cH1rZmDg4XDJeaAcGW19hyH58vkRa srszuacbOz1ZNpt3JuaGi+paYvPKyyStmpFJUZN8YXXDfNsabjL7shMeuxPe 4UlPPIkPncmPnMlWZJXXtkdOVDsc0cmPTA7GcWOgDFOB8QTLR4dsweHeyXkh K5sb27s75q8yZfxKuZPQ++T0GB/hZ0Ozt6E5ewuwADIllQlvxPtDHkoMR0IU cWh62HyrlrZ0u0604Dc4yB/+oQvtvi2CGOn/eE3679d4UbN8e+ejwxXMX2Sc mOvGhvk6c10tZAIfIDpKB0emkxvfgxSJzRNHZ5ZFZJVFxWRxEPURB2JdxoSn MhdX55Cnb26txqdy41M5t9RHADIFCjMFMUJWvbQYIPmL20GVljr5qw2/prPT ox3dqkYtbWoqXJhRDQ7LKdGBT3xIEekpiwu9ACytrQxtb05ubYyvrQzv7qwb 9Js72lmTce34aHV/b02/v2bN9Parnr2pWw/N5KIC7AFAQlK6e/FtZ5agJDW/ 05oMSgKWZRfGVdjV8NKgdna6sqOdPD1egRdEW0dHi81t5X2DnX+xL/qbBcwj +n2dTre+sT6/tDjx28j0kDaQWip+gvJ4g8fbkDBIlCIu1J2Z4MdJIkfmhIua q8qbJDt7hqvrL52OetWNCnnFNpyfa25urLm5bGNjWdpUMDWp6euVt7aKhgba WqRFbW2V4FeHh/r6+vzS0oStrZWVlbnlZUh3MTykABPKwtzI0V8iXfvvFPD6 +3vaudmhro7qT2hmatTdDYP9rXMzAyOjXZpBxfHp6bp2fR/WZsAKfNPR8SGY u8lh/PseRExgjEgq39UjdXtZvefn+1u6sYHJgaufQP+CEVTcUuHOc78R0fOB bv8E/9wz0Lu5uwUZ5I3G85EhxaehUQ0S0QbK36GsDE4iI6QEN72Pon1xwV7O bCdSGIochgIP7Z8cRBQp35U/tqqvSxBH5MWBucknIIGeXhQdlkKjhLqzovAp xXG8WBwlzLOwOi29JLq8Lnt4qKuoKKayMoMUFPzQ644cH4+9qW+wdEJQSJko s0tZ2Ts6uaHdsbT5qhbF2tYdqfQ+I03tpSW1KSW1aXmixMDkhPzqyoFxzcHR 6uHh8pZu5uRkUyxteOZDHRtXmqD8Mtsm0xbYdvfnSWHxTR2az9wZmVCTSwt+ cvF44kF85MC8D+uIrvFVwn/es4FNb7aXFzx2ouF4frxYDABIyMx+BZCgjJxR GVzEnvt5duivJaZPONhY1/Di+rorm/UMQ7zvTiCER9YrJQklSdYAyZHt7Mp1 J8WQuwZV5ltfB5n40spq/+Hg+9yH/sDpI3p8YM987sp74MAITSkxX58iOweV rlxXJ9iW5wCxx7sQQ309eO7gT2YijZfK2t6dm57rEyRBnB6MSJ9L9rNozOLq jOlK+QZuqOiSFJQnxaWwhVkCRJUE9onpPICaUnNCNP2KgeEu69LmVTdOzi/N Lq+Fphdqd/dXNr4+NdD3ICMjqi6wkOyqbVPWkCI5P3u7PPUh/+xGwPBDujXS uZnuifHOqQnV4sKwdnvp+GgBpp/aMp6tnp+tnJ2B6ex0X7/TNyDX6WY3t1a+ 8KGWhiHXSPGh7pggJ1fOu9SKuMPjj/Qpv0eOj3Z3d+YATDKeb52frZpMmxfG 9eWlvu3NsSvItL2tHZ2d6zo+RtbF39FA+q1kbKQDTKadyso2WUm3SrK2OocE 7R4fHxwc7P3y768EExD3EotyYaI8uK6X7vdBzrBF1ZOdSKDGYgSpURva3RuK x5npfqW8XKNuRoL6ARDq71f2amQdCnF/r7RRUqDqqtd011dWpgP4BC6Ymhos Koprbi4fGuyUtZSAoq6tzfbAMVCL86Pm//UACcj62myfRtrTdbfdCmCPAYCO ZgdXV6bXVme3t5atf4vUXmevzF/g8cCT+ARFBxjpn45YZ7qgqLbOZP5oI9Pu buxd0dEgM8jwRJ8Dw96d7+nO87BeOIOZAhuGLagv6LnKTQxa1+hI551x/arO Gk2PZHCgDbRJxBoozBXQI1DI8A4xEiCuFDAHOD7Y6z3d3oXtzIjCvSO/u8yQ 8q29dhE5ONQvLE22dkq5MezoFCbkSAO/Ai3MixmJ5sZAnlTUMC/I6hGLB39W NxcdHhra5dXl5UIsL/A1lv4Gx3jsTbnNYv0URXWmsLMKUhPzimyJAWC2Qp4Y lVPqSBUgeOkzvQD5j9Pzc3A9ISyJEMLmRHt6MHxwQeHbuhk4GnEXWU6azTvr W1OS9oaO3padvfljyPqmhcPctOaLreX1+d7R4U0tNEQgpB53PnRmebFQInbn AORDe+TAsk4JB/lmO1HA9tTL77E7Efz5sy39xw9MNMufG4u505DKjcVSQj2U muZP4ZY/Ws7Ozw6Pr+LLTCb18PjQ5AwnIeMnV9IrPN6W5vqB6vDc79UNE9tL 4hsbuh09gbm6tWY03uQ/AUivWqakRae8xjEfuV2qj6wx0j0HanppHXIxqOmt rVWwxg9P4YUnMfix5Pc0u3c026AEWkwKxw3mE3hPsXEP8EoXZ3UPtbd0iDs0 0tqWfEaEDznEvVZWbLYmEEBe6ux0dn58ZXU+Iz8iMpGanhuWXRhdUJYIANI4 7C4FpLShlRSYRgvOZsdmeXMjvTgRAC2AA29e1NzS2nfS6b6GQF4czS0VnR3V e9sTOZU5z3AerwmoF1jCExTtGZr+Lxd8VLpwZXF4bXVqZ2cFtMOz030ANi6t VEjHMW2enm529Ug0/fUm0/bu7uTFhcFS57+Y9gXpR7miJFygIzXGd20bwldf r7VD9z8724eA3Cm4s9awP7u6PGA0rhnP12Dl8P7u7pR250vz4PyFBbw+QBcT Y5AZS9PTADYwJXUoRBp1E5hhwQw1Ptpl5aB0t8UNPms6ODr0FQjcuHbYEHt0 0EcPfJ9AR0/+e0oUOzKrYnBi1nx1C0sz0O/rulW18tay5eXpgwO9VFpaXp4s k1V0KKt7umoVclGjpLC3R9LWWl5bl3d6enx+fqpUVInFqR0dDeruhv6+toEB BcwxWNOnaTo7+4oMFX9KAbU6NtLZ3lb2GdMVQCadSjGAoKqOqnZ5RY+meWtz 2dIXtnQbQYlEdjTGm01AjDsvfBlg/OfGRxoON2AmujseCvZrG0vxBdGCtEAA hyweEQAg2dDtUQJUdnVuh7p5c30eUe/nVSY3SAv61Y23rWygNS4ujAKY1NVZ DdpkQ2MuHOUNISJyONqd58qOhoP9Y7Aovpsd09EGSnFFRAWhidGk8/NzuGF9 y36N1EZHd1NZVXpqTnBSOi9KyBTEEyADB2wnsrYZcWJw9HDvUCFtbHqguiE/ MZUrFifRw0Ke+VAf36awhreHXhRGWAiKI/i7I35kCupT50ajICXvnR9XC9tD Pz+sIf+7uLZpTw6450Z8ALl8Y+yIuNc4TlBKmmZEYzhYNEHBv1CI4snJyu7+ 3PTikEzVKlM1NypbOvs7NrenjeegJRx39MopYbShiW64N39uAE8tK/3/Xjj/ 6y31mk3tyjf7qaf/a1/cWz+MLRGLYvrxYnGcmDvQESfalxHlRxC41rWW/eJr /n5B7r+ytTo6O6rd1aaJ0vWHenIshRBFuoCSh66EpBVQIoXNXZp/OPqCqfOF r98rPPY5hviOiHViO1ksXy4ct8j8aFFrZd9E/8ldRNPgQSJpu58gyZkQ8cDh ptnxgR3TFhscGFdgNJqmZoYzCyIT0/nRyQw4+h5yHGLHEEnh2LAkBgBIuGCf D3Q7OOeOzXO/F5s7G8gjDIbVuCwOWGhMzkFRpTfS21mOZ+bGVBpZRXXm5vba 4ZFhZ0+r1W1ClbCx/cSN+bdX/n9/RbTFhH7w5//s5v8MQ3/oRXroTX6MooxM z5m/m7XJ75TRUbVSWTM327O+MtiirPlAIjzxIT29jOKEVLgvfdlSRePcbNfm +iQ0h66Mbm+O3mA+OT5aMuhnEWYhAEIAGjk+3kHYO39RkJjWRTA1zw4dHP0h /tIXF1A4m+mqtIb9OYQQCcpCbto8OFj+C+Qd+P0CKmFhbmRhYbRX01JflyOR FNTX50mlxWACBZtGLb3tA4l47F8JzBxmMm3tbEbmCHwC3bz4zt4Bzt6B15gc MMGOzgyvp2gXXAi2Y6B1dXlqY2366laQjI12dSrEnR2129tr1dVZIlGKuDK9 rVWEzJWShrx2uQhMlI2SvPFxSKU/PalRtFXU1GQBpNSprAKASt5WoeluUMgr 1tfnzf+7cS/4pnOzg0uL4/v72q2tJU1P452GNuQkgJSqnsa21lKARgz6HYA/ ERicUZb3Au37Bnc5I7/AUFFcHi0yDMNnEMNiuwZGjRcfPbotoj80ROVFEcNx H2i2tgwHOysl0lvy+4jcyPGZYXV3fUwGZ35poqtXFpxIUirE4NGqq/IgBVO2 i9bX5ubnRzsVIvBf0eksMDmSw3yoEWgAitx4bpgAV2KoNyUc5R/sZQfbF8A0 JJZVytStSKaDbwuQzJeu0UbtzmZ2YRSYzhIz+EEJpDtVIsxIdIiQJiwMp0d4 c6N8O3saswqLX6LAIEx//okssWCUfuBJue9JxgREqQbHt3f11KjU//eVW3p5 rdnKb/nzQBH029Ozs/VtXffQeGh6CT4kob1Hvrg22T/WDWuKdi6jXaAVsdZs 1pnNu4eHK9rdpcis7P+2Q3mwAoNT0/BBEfVtku2rKIy7HwQrl9a210slDf78 5Ht2tOvqETqU/cSOCbYnzrQXbjQ0248X58uL8bM4FQsSiUh+HEYEKiY7qL5N NLs4Yf6aa+pPFRuqyYaOhsi8qOHpEbaQO7M8+5r4lhhNBucLapv/rw2KFp1S 3iR76Qvr+rxpj73pYHvuS7ChujqwIMuaLd0eG47Xw3EoZjhIf3JmaHdPe0X7 cIFwH3X3TT6yZ1lIzq3VRz/bU6khmQ2tmrPz88XlmfLqzMz8yPS8cMiJ2sJT lBmYmhWUlg1RYbOi/LFBPh6BXgX1hWDdCt7iHMrMsldYHcuN9Ts8RljlbzYM kxUD5A02wsOjk4oGxWtPPgC0Dx2Y92zoT1xYj1zojzxoj1zpj12Y/7InhKeX gMu+ihnoO5HVlaG97fH4gqT7nhjrZK/P0GTwfR+jverlDWYoWvPg+Gjt/HTl Y/jnVbw8kqry5HjJEha6szO1tDJtMOx/03jAC7NJf3q6dmHcsApZ3bYU++x0 6fT0pmfp/2Y5PNR3d0trajJbpMWtstIORSXYFO2VOzsASe7t7mxuby7t7+u0 2o3j40+mbChpzPAN9nVhuXrxXW5xgTr5BNmz4r0TsgNGpkelclloUuy+AQLG yIpDp13t7oSUSBMTfaOjPaWliZWV6dXVmZ3KajCfAvDT0JCnVtWDYwCB9vW7 er2uu6sGnK+uzgAnW5pL6upywIGyvXJ395NkHX8lgflRL82Un3pZrXYVIE9V Z+2nYsTAeRUU+A+5Kql7Gvo00oV5aHWp29v3C0n60YX45GpYeApt5HvuxHse lJ9cCY+9SSGp8fqDQ/Otqt7b3ZqcUFc35iflhnpcOSOBvbcAlVkWBy6YnupV tFc0SvOHhtpDU+hxGZz+3uaBPhnkMQ4b1Hq6IA/zuen+8ekBaUtRs6wkMo1J i/BhRmHwId60cC9KNDG7KhMvcGUn0AQJRFeOszPH7ZnfizRxuvk7gEaIIA17 dn48LoUN5qyAWD9rXxqrmCwMeIXoDC44CEkgxWVHN8jKAyKDg2MDPZlcsFZF HLNvuyG9wNBYMcmvcGx2jLC1o4kcERWSXmTFwHy3teszsr2zFp4WlViYKVE0 tKvbtrTTyPCO8DmAsfTCuKk3zJgullbWx2pamyIysx0pLGIIrU5WOjimXttc OvuCJFxLa5vPXFk/20Cg6CoxHLJBqiQUE4fn40kCAhS/FusHIyIfRiQ6OoMX EE9AagxgpOn5MfO/RVmBrABLmsrSKzN6x9W4CHx5c9lLwuv44njV4NArHPMF hvHIm/xPJ99HXuSPH8iH8p7sYc9wBgDpPdXmLeW9I8t5ZmUW+R7VDfnRyfTk TIGoJgt5yvk5tNYITyn7rxd+T505N9zX79nSX3hwGpU9B8eX7HAAXKXnh1t8 quPTeHnFUemFEX7BPqxoAkQ2ngnRX0/MWHO0gvawNzypvs2UdfuVLf4PMMi/ MBwcxaSJn7lyHfxDfvpAQz4clGUY2ujwnvHQnvXPt+ROzee/i+nPAp8Q9LK/ tyYsSnyJI4JPbO0K+NSH8hhFfutHK5JUnp2vI1QnEH3QDX6hSyP1R9R0AWls duTKirLKTD0c2/KLmt47ect///tB+TQ/EexvMoEuv/2fHBbIekGn22yXV/ZA KUHrENblXnVTrwaKLQITK1jaQ8w5ysqW5uL6+tyysqT29pqx8d7dXS3AwCsr s8PD3T3dzctra81d/U50P0++rW+IozXDlQUgoQLt0XwamhPpSAlyY4Y4kJjF 1VCygIvLuOaL4cF28KzWltKlpekORU1LS4m0qQggH1AwMGM2NOS2yytACTsV 4l6NDHzhvt4WVWe1pKGgQ1nd3VlTU5Pd3lbe39vyv0ExaMEAn+g70Mn9fe1A X8vtzE1WWx1CIwnBpM5qAFEAdJkY65meUBWIin52x7/AQEklrOZlJBk0OEm/ 7078L1t0THbhgR6MD8e3ox3Pjg8WF8eFxXHvYf46G5ptcCo7OoMj7ag5OtwH j5O3V3QoK3NLowlBrvWNuRMAyIHCQK2uRqWq7+1r6dVIDQf7E/PjtGg8PcLH ie3EiyfgBK68ZNYHqo16VFMqKXDne6aXxKC4Dh9oduRYanZ1zhezkv7hgnyj FnlVTDIzUshE0BEzCo2AIoSX5sqpBs+KxlDDPGuaS/LK00JiyUmZTFKI30Mv MtjuuZOe3eGnTXmNZbzyZThTeSJR5uy0clM7I26W1bap5lfWC6pzOnshihsA JCqbCoyf7hFI4Nv5OVRpbd2NrCi0qr9uQzs9ON45PtsPj6IIGxLYwMipDc9I fo/3jcsVtvfULKxomjuqSSFoSqgbPsCZEYFt72kyW6mFrz0IlpX1LVtMyD1b y9TP+OkD68f3tJ8+0H/6wLTzpYYl0gMTcPw4HC8WD2pGEE+MTGNxon2Dksjx OYGUEA9BIoka6plSGP5HD+DnxvPm7ub2PgUvNcBLgCqTluXVVD7Dv8eGMJ77 vcusSovIyv+7gy/oER8IHFsS/1KDdPWBnmOIH6hOH2i2zES2fxQxsyrTDOlh DrrUsqSMS2ADkHONpHB69pJGNa+q6W9v/H74QIHy09lbK5HoACP9zcY3Mrvk 4HB/fGqgua0SQO6EdN7VfTii6pSiaiElDBuRzES4r4VZgpnZ4QtYfnMlIEuw xZVNUIyf3tPuO1KglHm2tyyA9swf3lMBQJqag1xl7uqA30WX/DWCFNjY3NlM iYh/irq9SKE99yX/6O5ZVF+xqZ07PFwBKwijJWcHjI4OD+b3dqZ2d6Zgrx4Y Jl2A87q19cF12J/hW45UpkME1FkH+F+VXGfQz198O/aM70oMhr3Bwc7u7ubm 5tLa2uzq6sz29mpVV4PFXbYbyqterZCL5G0VdbXZtTVZ1VXpjZJ8aVNhoyRP Lq8cG+ulR6e89SM7MYheAU4wdcPNVDJQRFugiz3Vy43t6cH2d6QGvfKl/+RG iM0rs5RkY32+R1WvbBerVE2zsyMKeQWYvmUtpZ3KKoCLOhSV4L8QFCdrLl5b W9BqVzsUIkW7WKOR9akb5a3l8rbygf7Wv4YR/E6xfrWpubWU3LyxSc3M3Nj0 7KjpDhpV6MzUhBrBSHfluKwGmBNGwjVXXkmVYIPOK2vTC+Oeo0k/uhJvZHJ/ jqa+xBC9uWHF9W2t8rry8sTZGc2Nvm75w3Bo8AnyeYR7ml2TWyHJjc/iVTZk 51cKG6X5GsipHgrhzyqOSM4RWKVEqelW1bW2lvX2Q8xXh8dHjizH6JyQsuYK TDAmuTgmqUxIT2CCCQtAa3IsjZPEamgtTypLrpbXgEntO0FHFgHTX0F5EpRx FZrxsYmZAdxYnCCeEJFMt9IjXfqcJ2YLkjMCYlIZ1DAMJzxAEBvhzQoITkp4 4Ut/7P3RuPb0Son0CNIvUVJyU+BolK3EwqLOfvXozIB/MH1idnpgTEUQuJXV F5igmEHjZ6xRAEGB/+0dUQYm+PFisWEppGZlCWxTA4viTd3u7M7+3OnpKhhR Byd686qrPFi8p15egQkkiMA82CUgnpBaFDWzMHVuPPtU/Zsu6WVOPSmBf3tF fQCR/DCfuJI++BJc/ENs0Lwf3tM9KMTkLE5cKpcTg6VH4ECFhCaQWtprCipS SEEuZQ05ZfXZaUWRCblBqcWR5+effNbvFEQL16Zps6HbxRQChP/uDfltYFr0 e3/2MwzumQ/zKdYmpzabEBZ/z4N434OMFgTWK9pRvOj7HqCzQPa1JyjKUzTh DQElaqkDffAcAFAYo0rbxGGxxCu6IcgulpDGFdfmDI2qkc5bWCWjhKRDJEjO 16LYnjixw1NEql5lRDw5HN4SM/gZsIkNgUNxqZz4VG5adrAQVivNzHWdnV1q d60nYlgd8SuGRwuzmQMu/Mf31IcOzNvkDA/tmf96R8aykxva1Le/yMrSpE4L 0bMcGHZXlqcM+p1NK03j99ZbLYIULL+myYMVbkPkfcLMTb/nRuIkpB8frx8f r9zUw1xsrK1CFNybG6Mnx8tWIARSNB0d6ZDHfKsXPD09mpxS7evnT08Wjeer MEy6XA2trQ+MT/VCK82vm433TwWSwYCJsDIqlfUNDYVVlZlNjQUAkyDcOMr2 CmTShLQ3kHWmBt4u5y+ARpYWRtdWpzc3FpC7gTfvHu7wD3djxPj4h7uig647 aV8pkcBJF5bHM4z/I2+KDYHrxRLEZwqPji45doznZwN9rT3dDaAkQ8MqAHUA KALlaW+rQIqB2IkgdUdHtbxNfHhoGB5sh9yMu+oBsgIXIx41Jyd32H3+MgLG 0Z09w8mJISa99r2nT6k4Li0nzBKEe/utjefnOzsbhwf7k+M91r7Q4Li/t3ls pHOgT6bpafhYw/BeLq9qbq2PTEvH8kOuKy5or3FkBzKJGpnQ0SWtq80qL0/p VtUAIAMRtJqvuX2enZ7MTveL67I9+Z4pFakiSR4vBtvZURUupBWLEvtg3+ye rtoBjTSvNKahKQ9ApkuA1FkD4NzszACiDBTJxMsb0Mo0szJ7dWvt4OhgeGo4 KCMYnJlfm7dlOMyvQUzs59+ZThiZmJZWZlKyg/mxAHj45ZUkFJXEx6ayo4RM DkTWZ21xw0Ckx1FYbgyWEobxpOOSMkLdyBw0P9yHG3Lfg/TsigHpgSf5kddH TcVTFLmwLPPsZPniAixgER7sbVacMDIjkhODpoR6yjobvrDAnf3DEoW8vq0u T5wqLAhb25w4PILWxerh7qqWxsisHH5SSk6leHCip0KS5MNBF1RlS+TiSmmh Qt38hRUC9ooe9Rtv/BNn8s+29KcoPCkUzY8J4sbyaKF4WgQmPJkSlRTIiyYS QtAAJcamMmNTuLHZcUFxxHxR8sGhPi4nsKalRNpRY/7D+jiCJDOqMl8R3zhz Xd+Tvd4S0U99aM8wxOe+BMgT2/9DZlW2KyMMICLQI2woPrhw6kMv0hMf2nMM 4bU/+iXO/6EXOSi1wHJPo/G8uU0McLIwy5qMkZ+aEwLgjay92vI6BH7aP9+S ASgC2xVAYuSIJHv6w63tFUWXBCyIRsd7G1vKM/MjrqVLgwLz+dCWGdgoK6xv KtrZ/b3R94gGaWJm+bET+54t3VKk6wCJ9fdXRBwn+dZvoWoEcwQYUnS69YX5 UWSpC5Zgg/2tE2Oq31m2P1rA5+gZGu/qH8upktz39H+GBp3uWjwpaAk/OOOS iyv0B5sHhnmTccPaxHZhXDeer8G5BjZvqGjOz0FvvSPL3r/57Y5Pjo+OD1fW pg6Ptvb2F4+O5iGWSP1CZV22UgWpgv8AB79f8An5HgQp287OVkVFSn5+ZHFx XG1tFpiq1N0Nmh5Jr1o6Nto5PzfUp5EiftoAeKi7oZjrvl4pFHPd09DfL5+c HNBoWhWKWp1uY3lpEky+/b0tFeLMrPwkbw7pjR/6nT/ejuLzMddekAMmGGz2 XnwXF6aHF89T3iUbG5J1KUVzs4PLSxMbsGf16sp0m6wUILSmxuLhoY4uKClG DaRTuh7lBHoZuEwmE0Fx4h1XceIqyBrYJitZXPirRfoj73J4ZOgdaM0tzeaE h8WmRPrQBDHCwMQMHhh1tTva1fWlobGeT91hb3droF9mAZma7noAS8AX71bV NzYX1DRky+UV4EMj2iSozpXVSkXNyIC0q7POgcR76Hlpgn8K53C3JQWQgiML iuJEotSamsz+funm5tDpycrJdf80o/FsaXEcrBlPTo8LqtJIwW6saExpZTK4 f0ZheNf1b9rWVqaCuI+gAP/+vhYAfY9h3o9PKefPzi6dSLtHelY2V7552Npt QXiSi0RCRrh3SBLEVJyRGwbltMoKCk4gs6LR3FiI1QdsrGhfPhzmD5ASPQLr F4Thxvi6EYk2GOb/OPrxE1M8WYJ77kQwR9/zIHsweE5kzkMvynM07Wd3kn9g yJFhBqz7oNgT867+YIUTn/TE2883gMqNxdLDvREC3tmlib6RroNbLGHI8fLa /OBEvzc3/BGY7onBtqRQapRwaLIXDucHS93t/f2pXf1So6Laxt8DzfUGcA4U nhbmGRBPSMoPrmwqGBjttr7hzaqA09Nb/qurXwrgIj2S/KMdhsiPYISE/WCP w3FJ7GgUL8Y3PIGPptNZkVgPum9QAiEqkSFtrWjtqEtI4cxOD/cNdzVJ70ho /pW/ncnETGS/Ib+1pbs/8b5cGrzw9X+KJj/2pr/E+bpw0GB+fOxNeeRFtaf5 ooNxCGOVDc3FkWNnR/e47+EvUYA6MVkc5gthoqEbZIygPYC9tE0saSk7PjkC ddTWOfjQAeLQ/uEd5ZEj67Ej+4f3ZHuSoKpFvrg8OzjSDS7OL02IT+XGQdSO gjuTg0QnMcF5cV1Os7yytrFofGrgt7myICAnKlX03y/8HzmyEXWWRXEEHcPm tuduXFv/gI1tnfm6UgRWXZ4PDUB5fzQ9jRa/R4RSZnFhbOezvv3fXIwXZ8r+ 7vCs7Nd40lM08ZYGiXbfneQbGDE53w95Ipm2zLf9eW55JZ2fry0sDZ+cHn3r l7smesO+TjdvujAcHOwdHBqWV2bh05/hCbH28fiFdoVYN46OrykuvucJGoFw 8/PjIyM96+sLB4b909OjC5ia4xiikdoeHVXX1eY01OdKGvJbZeVjo6qRIYVS UdnYWFBdnVlZmVFUFFtYGCMSpdTW5ZVVZKXlpoQlJwUmxDKiguiRQS5MlBvb zTvAGY5fswebJ8/FheXhQEPZktG2JNwLX7wzTVBVX97dVdOjqp+bGQSd6OLC eH5+2qNqkLeVt8pKa2qyLPN1V8dNthzQy2prsuStZYhppqujcmpSo9fvTE32 jQ4r/mJuSMgw1aEeIvH8EtLYSRm8sHhuZCIvNQesGQNSsoPiM3KihVFJGdy5 hckbLRb51gbDrnZ7ZXRYqZCX9XQ3tLSWpuWHhCRTuDHY1LxgcW06qOEuOC14 n7qxX9ME9qCGOzur8svS4aXTtWHhgRfxnR+1QpRWWZkuFqeVliaBA7D19rbB jm03h+Kj44PIdDYnBsuP9w+M9wffq7mlqKEpr7enQamA0C80ZoKvfAmZ6mam +0aGO0CDvAySvPiYxdVkvgaEvvNeBvaLq7ORKcw4ISsuhROXBibEgNBEKgBF 5BBfYhDOhUgkCnCB8Tg42B8TEOvPjoI8cPBsGi8sIDyRyU9KyijJf4qivPPn 3PckU0JC2BGhj6C5mPYERXvkRUnPE55BMTJbAB2NzQ640Pk/uaJlKkXfiMw/ 0Dkqg9M/1p1dkUAQOKcWRezpb1JPIwYXpUZGj8STQlC+fB8vNs6BhHuL93uD o+VWiZY3Js7PtxrlhQm53NRCQUA8FqK7jMbx4ykpRRHCwvAQIZTulhjsKu2o MRqNnx8w9/a1jYrG6YX5nIrEqMxEbxajoVXe2av6xwfiz85+gkRaQAI3Sshg BPF9WdRYYTg5GB+TQmMER4iry8orYmtqssGyCGHR/4OCgJDK0e3rMKE+rhzU Ex/SZctHAJIPAEg0AJOeYXAWb/n3JJ/3JMIjL0jFhARsfqDZBKelL6/rTFfJ 1mfmRrMKohKvvIZubFFJdEWXBGnnZ+fnO3uG/pEZL0rs/3mC+/sr4hNXxvjc ysLiWFZhdFV9bmNLuaJTApDS/OJkvbQUIKXbGAk5A/BYTDIzVsgKjycPjXZf QIzuv25gRGqjf2zmX+/Il75G7ygPHZgP7Bj/84Hw4wfKU1fO318RvBmxY3ML J6enlpYF3mVleXJ4qH14SDE7MwBzsFjHidQhnhtg0+/rvvIn/N1yqers7Xdj c39yR/3ogocN3HfESjxD035yIxTVVYImc3GxdgMdnZ4swaFt1nhpfX9/6WYq oG8sv4xwbv3gI4fh5ZlPw+/LDqXbzC6K3t2DCGzXN5Ysfnc3TMDfXO4cVcBy TKfbmJ8fGx7q7FBCbtKy5uJ2uQjOagpNXh0KsaQhr6JCKBKlAnRUVZXR0lIO ruzVNGs0bTkl2aWVRWWV+RJpkbQlv6I2GR/qDFnZBI5efGcAit7548CoAgYQ eE8HB6CxgcUv2KcXZvV2146OdAGAhBjslpcmWqRFncrq6uqMZmkR7D98RyoK gIva2yokkvyPviuqWsS4dnb6V+NBukz/2jfl7Beakh2aBOU3DxRCGnXLgpGV kMZLzghMTOPOfJoqE9TwzFRfTkUCgCtgaotOZ2UVRSCgCGLB6m5oaysTVacW VMRnFIYl5wZFpjIiU9mOFMajK+9TsEb+yY3swaAWlceJRGkAHYENQUcwdVUZ rHD4KKarFPbipgJcgGNsBre0MkkJjZa1dZIcyJbXVg4ONFcfEV5dVg0Pthv0 O0hoj+U+n6mc76d/WYtFVQtmqCqw0FDUJmXyw5IJ3BgMIwrzxIPwAU156Q4F vDv5QzDJnUTmAOARh49N4UUlBUYkU8JSI9rk4g94WkppWe9wpzArPj4txoHM xgaGg2H5FYb6Ak3NL003nq+B53T2KauaG7gJyWMzA6vrvaFCUlpRtFLTEp7G JAhcKiS5JbUZknax+ROVaTg87Ohtj80OZER4Bibg2NG4N1goVnFqvldvWBoa b4/PCSKFeHBicMwoNCXUgxmFCYgnhArpeeJkcWN+ZVNBpbTg7FKxYzVywvup hWVxs2Ifinm8wPDJHuwIYUHoP+2conIK55eGF1fHwjIy82uqJG31gwPNgQnh nlTqY1eaMDPemcJkhLNQdK4HjROSEJlbmFxSEre2tvDHfTXEAam9V4kOonlx wh94XsWm+VCeA4BkmRwhRyPE6El5icM+8kZCGEg2NFd7ptM7slNodpikqwEx +xovjJLmstTsEOEnFD6g8y4sQbQn1kaNlfXt7FJplbRzbhlSs1gsyKCSATTS DCgqqjNTsoMRHdSdG+KqnZTBr2nI19/KB/SFgrSWUGHxf73CvUZx2ZE5/+cp 9okrU1hU406OdiVH2PkFkUPSD4+PzVbqI+32Kpg1elQI6WvDJ0Jo6zsUomU4 g8Z31YWR8Ta9vPb/feX2yIt6J1OrZTwE2MmGyF7dnDeb9AD/WCuLjOe7pgvd 6ckVcAIwQTe+DXtk/RveF4lBvDqAI6G+SItostrffVsz5MJ0ghyvbCxe9fo7 Xgp5dENHY3JJYnJGQF1TCVh6zCyM55fEtbRXbVixi3+VCvlUAX7tb43G8709 3dzcWH+/sq2tqq4uT9EuUsjLlXD2LsQR2mKOkbWUNjUVSZuKAHBqay3rgJf8 vT0SAGnGRjunpzQba1P7O6vNSjExwhMb4uYd4HAZ1w85Zjt9IPoCgORARb3x 8wPoCMFIT1EQwQs3KkIurwKdCCwoBgfksGG6W6dd1fQ0tsnKWlvLABKzRkc9 t5RITY2FACaBKR7cARR+fm74u+poX0uQd9IbjkYn53OKomNTWJZAGGQDeCkh LTAtRxCVHLywjOQtvVEPH124D48PVtfneroboLEL7LtqwAbAcENTXpEoIack qqxSWFWXKZEWyGQljdICTybvgScF9oGhgfnCncmrriuWNhXX1maDD4RgJAQm NTTkadSSycm+zU2EmvuyV4K9ql8eLqRKW4pAy4GbVn1rW1l7e0W/pim/LEZU k9anlljc3tSqmgM9tNY4ONobmx40HBrueqM/hxwe7A2Pdm9p18srU2kCmgcd 7xfsSwhBP3CivPaivPKg/PSB+cCR4kjCv/KgsaLQcWmslGx+aBKJEuqVXR6t UjdrhlUXJu329qhYJCwtS5mf77242JS01bW0ih1ILL+giLPzjUaltHug03yx BQZhhbrmgQfKleZfUpfDjoZYx0WS/LSSKL9AR/UQlN31MzU5NT/OifWjhaOY kT5oLlaQxFX110SkkpmR3gEJ/qwoX0ooSpBIzhMnChJJIcnUXFFSUBKZEekT lxN4cnp8++YI3sivafp/XrjG5ZVrhhU1LaIfXbC0qMh8cVp8fgGU682o6+hT jk73jU73MsPD8sUlL7FsV4bAjcYDo8QLNP2DHxMs1V/60qkhgplJ9cnpaXxB hWoQjij/2q0CKX94Vv4PzvgHHqSPk6MP5akP2aJGALjoGZoE/4mcvzTD2VDd 3lPcX+HIDzCPfEPxiCF4Zm40PTcMwJX4VC6AK7dgTEB+WQJYVluebrpi8LhR qum5kbqmorTc0IgESlgcOS6F/SloZI2RwGWSljKweB8aVQNk9fkG8Jk6GZpc IEWkLG9spRQ2guXt4OT0/NJmXGbV7r7+xsVAYI+jyh5V/aVX4Sc4RpTtFasr 07+hSH+oIIVZ29KKpe0FtVJbEv9TAOkVlv6Du5OwrPj07BxigDRpYSC0CXMf rSJ3M57rzCYAcbcODHO6nfXPv+lXr4fbJi0ksPG3OSQgk0jPSCc53GttYxEc oALs8sTC2cUJw8EdSb4QjWVymfAt5UNybjjASGgBSlieWlmXExLtX16Ttanb XF2b34c1219lqXv6BUwjn5KTk+OJib4edUtzc1kjRAiZ01CfLWsu6eqoARhD 0yOxiiS62ZJhP97aiTHV6soMWB0cHOydnZ5Y66M6BuS2tGeefBtMEAKNLp20 MbDDtleAsz3ASFCONl87io8724cQCkU3y2SlGnimVnVCDwIgbXKiZ2FuWNZc 3KGsqq3JBvAMKRW4pl0uspSnVVamkIv6e1v6+9pUMI0PgHDgFc7Pf3v9/Clk bHKcHSYAy8bkK4yUmB6QmSfAs7jPXakepIDd/WtLOfOVGsfyp0wlqZLkNLcU yaE4QQA76xCECSocHPSqJXWSnNT8kJT8kNgsflZZLC0q9kdXwlPIQZH+geCX nBMEGk9lVYY1OgJbhShFJEqrr8+XyUTT00NXT4bKoT/Y7xvtlrWWXiPNVtV2 KCtVXbVt8vK4TC5E1tRV19lRre5ukMqqmVFxlc3K1OJUVhQqNpOrVCPx49/R KPqLgpR2dHZGpmrPLooNjad+8Ob+aEd+Q0T5BqKfuJLv2TIeOtDu2zIfOlPe 4rHP3Wj2OBIxgIrnEWnhGF4c1omEyRKLl9fG1cMAYs2MjbVvbgzD/I2biHeQ TNVaVCeSKhvnlkfAmaOjxYyy5H86eoempQQkMEnBboEJhPzK5PBUJjsKMzrV b/5EHSIa8qEJTX1reWuXJKkgMUTI5cVi6BEYDM/Li4VD8/yo4ThKGNWZxsME hMrVA4ZD/bYOomgGqy2wilzfXvmU95EZcp87dmWEvsAQyaFe1dIc/+CAd/68 c4hAZgf2YtXu6xfmlkf1hiU7SiA1PCosLcOHGxKSlPCzG+R5heht3vuxXmHI FbWisIzCFxgGVhAL23T+kCaxtrU9Mbcobm6xgJ8bId7P0MSXOBwSsGbtu/uW gH7l5/POj1PaJJ5anEJqACy3Af7JKY7JLoxKywlJSLM2tAWmZAclZgT09Mlv fB3EcQuKPrw62T/YUV6VkZkfUSJOzS2OSUzjxQpZnwVIkM92cqZAmCUoFafW S0tnYP6oT+kHPrPchnQFK5NtXe1Hxyczc0PVzY26PWhCPDu3xKNdXgYWRHu7 W73qxk/NJh8Z2DqqwaL45Ph7j6mpbet8jWPBAbx062bwDM34hwOGlRC/uoUk aIbzP5oOABY6PlrQ729c3cBgNm2bTHvTs5rDo5u+2dZ1bqmD31kbl7rrfe3U 4rgZjp8amu4FB71j3atbi9eu/PUwaXVzKSCF6sJ6w00gECNRnnxbdKADOdQj MTd4B7agWQRZGo/MjNqznKgR+AghOyVLEJbEYET6Qc0+KyhayAqEbB/ciurM jS/OVXfX+0IP0m6tdvfKQrN5u/u6s7MTTW/b0dHBysrcwWWC0c/8HPpPrXa1 v1cmbcyXtRQBbN+naRrsawF72KhRo2gXAyjSoai8k1EQ9gKq6lCIQbMf6JOB bWN97kY9HJ8eD071p1YkOLM+YIJd/cLcfYNdUFdO2hC3doAT4qqNDnL05Du5 sR2j0zjV1VnXLWh1sAtKP+yJVNHWWiYWp1ougEtYdbn0UIglknxwDC6GmaJr 21rLwRlQJ8hL/+ba/m7FdAXgG1ok0Un0lGwBWHsmpAekZgcGxbCeuTAI/MzM Yumnfr6h2zw4OjDsb1dUpzY15ashisgaMIh1dVS3t1eA+lRCTOZVbW1lZZXJ lXUZTc2Fi0uTJki3f1Emaf3JjWJHxAXE4QuL4srLhSJxqjU6EovTRaKU6en+ m2WG2aSVXXVJOYFtbeWI172FPgJ8x5zSaLm8PKsooqQyaUDT1N5e1dBUmV4Y /6Mr9l9Ofk9QeEYk1pmK/YDH9I/dnN8tDh5Wz/qNK6M/Qs5gE2FujfgV1tY3 wP8tCf3UlfbIlfwcjXvhQX7sQrmHJGyFAdIbvO8De5h8z47+r3cMDMvPP4D4 t/dEV0ZQeWPd+tYMbLuEMqAZ4XSxesPi9s7M0dFSZ59iZ28B/BdE5Gjajs3N alQ06w/mI9LAQIQRJNF5cX6kELfP804jtToxN5InTs4qi4vO4IUKGUgyFF4s 1ovt/wJDeYGhO9GCCWHJgcK8yhbF6bnR/GUjOdJoK1s6Xvli+XFYQSIjoxQg H7RY2mA278F5DcBUsj0/33t8tFgmqQGg6BXMKfTBn33NnAEnWHmBptkQIP7M n1z986obzX+AEslaqNHJPzj7Pcdcc0FBHLZfYP1h9dE14ARplnzxz9HM9a2b NIAnp8dnZ6fyjvrU3FBYjxSI8GCHx5FrG4vgWvqiF0EsGuBW4FcAL12ll73D cpeaE5yWG1osEqo0Mk2/orOneXZ+/NfWAHiFfT30Ln1DnUUVSQeH+qT0gJKK RCNcjOGxHusQPETmZgfBFINw6H0GIIFrpic/l+n428oFTI5xcHRMiRTedyfe 9yD+4Iz/2BrRlKcYf2xQxNzyhvl6IzSZzs9ODbf8YD/3cU/PjhCPgpmZoba2 qqGhTvPvgEmwac00uTAOZmGVuqW7T8KOZwIAkJgb68XkDoyNFjcU6w91v2qW RAqzsDbHicdTw70wwWBCtwcbOsjJJ8gJmusD7NiJhEM4K4rpyrdoeGakQiby D8cHJ9BSMqF1fWqWID6NFylkgRYL8FJgHCVcyEpM46bmhKj723d/fdwlMsWA A7myjh2JwYZ71EtLOrokDZKCs5NjANva1dCc+Bnyn0svKe3a6so0vJ+anOjt 6mpQKmpkLeV1dTkN9XlNjQXNkOfPTaqcy6CnHslAv2x8VDU1oZ6bHV5anFhc nJiY6Fd1S8HeDDPBAmSi39M1y+uD43nCzPDCophwIRUdZA+qDqAj1FXmEVSg o1eAg3egU3Aaq6AkTixKa2kuUassaw3IBWVooG10RKlUVAHY1t8v71RWd1/m V5XNzw0jfD5gZgdlrqxMB1MtgHngjFRaVFwcNz7RZ/7DHDi/uSBKyM4eeVgc NTEjiBrATcwITEjnpOVnRKZWmq/7zlkUR3uGPXlvOyOR2T8xoFA1Li9OHOp1 Br0uT5QYmcoA4KSqLrNekittKVIqKsG36AerP1XdyKAc9p+E7nZytMuJDE/K ihT9/+S9h1ci274u+jfdMd544557zz33nL1X6LBW52hrmyMgSJQgSUVRwQQi GMAsCAYUBBVUQMwBcxZzzjnyZlUpbdthda+w9x7nzVGDURTFrFkzfvMXvp9W ZrNVmc3K8nLZbeWaSiUZG7Wdn6/t760sLTnX1j7o2c/Pz9rbazsAvm1UKbUy AM/6uuq7O2oBMOvpMJZXZ6XnshubygQyhh1c6dSXlJe+JTCeoJH9Gu0dkQiW 5h/8Sd7UmL39D/uv2695Zyb519mNnp6d5VSqnmHQqBjm44jAB96RD3wpD/xI ABrd9468JtyDAdJTDASQ7nvR7r1j/P0NlRYf70elPPSlq2t1+wdzYPgiMZIQ V7WV9Ym5xeGry9Wz0yUYL20gzjKXEA3d3uiU4x2JTooLY8NMAqQ4v9yy1KPj w2+UYPcOtRVWSKmJKGZyOMJmyU6F/OxQbP/AqEiAke4HkYqqIYGem3/yS5KH a2NO+LmLq5uvcIyn6NDXeFplXcmzcMJ7auzZ2TJCvbKzPa6tyq6uVvhEch+E XFt9fGr78SvC/hRMeYZh/JtHWG653nWjxftzE4K9AcQN5Qh96NS35HA3QIJL RXsegX2EJj5CkQAi+tgo5VqgFBCVsLS24bqlNUNyXlxyZsD++LBXPkdRnOwY bF/f+CZnLiQTAI1W1xennCN9g20NzZUQb7YiLlPOu4OOxDnc9Cx2KuQ3F5tX mppfmlpWmT0y3uf67ACBryyvziNmtDc3QM16cXGuqsyadkIAO68kpXegdWyi Py45orWjAZSkzqxJSCNNTEN2jwBOnJyeqE3lGl1eT0ftZ21H3RbaiEP01GTf v85odd2aM5EOjZTt+OTU0tXX0jvAzyl4FAbNS49QVNilNHR2GVKM/r4eiGS+ trUsLgVbkvSpqb7t3V17a71KJV5Z+WCi8DuyBam9pymnXFTZUCYvlOxtjUUn Z4pyC5YWeu97UT3CaVgOMywmOD4nev/ot+M23i7t9t5WRGIgMSEAw/MBuAgV +1FAsZDod1MwTzviWQNOLD1WTCIuWykWZNDTIa3HjdGslClGznNjIOtZeESk SuhyZfr59zhYuWHP3NIMNt4PzfPBJgSwRAS2mNho0mxureETAu19za6vAqRP 09TUUEtLbXOjusVaibgOdV4r0e6KjxrNSoulcm52ZNYJjuGR4bbeHnN3Z12L taqurrS+XtnT0zQ60tHRZjAaisrUEq02t8VaPTTQ5hhoK6hS+LGCgrmBQRy/ QI4f7OzvDV4BHefLE5NslkpLk1qtliDearcHDlhMhwZs4Clmk2p2ZtDpHLFZ ymFZR9XCwkS/w4IIIkDhYTdzhKNA32iGxE0rt1T5//0SMmp3dvfkJaIEUeIT f26MgFFakev2ef/0xXc2l7T1pc+IL/04AdYeKzGZ7FyaaXdY66xV1cZCAFdA hfd0GLra9YjhGSLe6eo0rq3NuzM8Pd3f31u8ODuASbM32tuqbwMkcICvtbUF el1eZSX0dXzc4S4tONnaXAZ5zi6M7xzsFFVIijXplTp5b28jYlQmzIoyNapk hfyScvH4gNlqqXqM/mAWDhZEMB396I+nJmedu0OMuRDt1XiNxQROSmq1woLc 7pHB7HLl0cnJZ+vhH5xOz06X19dYEuHjiICHPrRXOMKjsHAoKqsPBYJG7+j3 3n8UcuuhPxGKtQE7Cv3whoZjJzETGWVazcLS5KRz4PwcipoEhZV07RhtJlu3 DRIZXV7zqyDoCNZV7bb22UM5CcLcBFbKdeQyjUG+s7f7LfMD7OV0XmMuS5DS mTDnAMz7Hc4QoOMzKW09dc6FUdAEqxtbG9s7rm+bvi9vsBP4VNeZYqUyHxpv c3vG0tXyLJyhawZAawcgvaPD2eqaPEWhKJwd/VMA+dHnoqu4zWJhogluic40 POV0/ZVtDVb8yJRYZmbUG3LYD75EgHzAo70oMT7U+MeYsMdo0mM03k3gecfT 82++Eb0jsN21O4A7rIJZW19Sa3Ph7XNcmpRZVCb+9vIgb2qx15aWZyorpKIs 9g1vwEd2TZCzBqy8U1XI6hvVDU3lTbaaGmOxRpt7+AnPg7ts4Ghu0evqSlwf a17AdXVVjlTO29vfAVgO5L+8MpeVzwfPLSoTFSjTwdKWWyRYgwPajkx3/4J7 kl2S7Oiq+9T12K2MaLdXj412DDgsux8rZf4pCVELuj5nruOC+DEW17d23F+T 5CWQcVoQ6Qe/cHGJ8uj46Hfj8wtIfXpWVCv92e+Nob5hbdkRL5JjmfxafW5r a+0xHFbmd/Rt5C/jw93xYnJFfVG9uWZtZbC3zxZGEzpnuqsNNYrSstWlQUVp aWBkZGMHNH9+I3gAt41MD9LTcJBajef9KRc0uDg5Dxm53a7P5MIUUjwqVcZO v3HhlMDsFqJbzgViKOYyj5dO0dSrrm4MM367PIh1a791an68qd34nv4UHecD yuDLehWfRc8qSmKKIgI5b7uG2i5gD/1vyfPs7GRra2VxYWJmqh9CRDeWzzAx RZX7cPdntyOb3VbZYq1AkAlypaerDooxaodcNTva9MNDbbOzYxsbyzvb6zs7 69vbq47BPnFeEjkR58f0D4+HpHDejOcCOWdje91kUldWZLW11tRUyzUaaVOj urNd56Z6Bnn2dNX39ZgQG+xtiMOnEfwKHuToawKFByUZHGgBBTAai8rKJA0N qu5OIyhhVVUOQuDwT18f/7qEvFpHt7mh2fg6TPA2FL8Eqztvj1PI7OHs1N7f WmvVZZWJo8W0tzRPb5avP9v/PdOXkIQV5fMSpLTSclFZVaasIC6rMN693YMk ch2GmrrCgsrMG8cZpDKPz8+XDw6m19eHx8dsAAnfESKBr7CTo8xu131a7Jnp ASSK38z8eG1zOci802E92N+acw7Zu02S/BirVZ2QSZXkyfgS8e3IGkgwsh/8 8NGSPPfrn51fjM/ODk9PvqPiJmenh6fGkvLSGzuMCbkpiYrM6QWn68vWFH91 QkZi1/CAP4sSFh19zx9zz4t235d0z4v601vGAzdA8rwVsBUSKFFuABL9h9eM d9gIfDz6sT+dlijW1OsSshSwuc6aTKl6EEwZm3ZcXW1CIdKuVi6v0REUB2Rg rDslv2Bnb6m5TUWOD4J4FdKwbJFYqqrZ3t37zQpBbjg5PQbdg8IP5KZhsLH0 pxjSSxzpJZbiGJv5rnoAUw3CfALSzMKUQp2akJW8uDJaXFO5tQN67N7Cylhz p+X4ZBEGfluTU53vSVG8NMETNO2zqMPtWP133wg8X/R72uY7E1jC2gZbY3Nj Qe8y2jqehoNH42kpWVAggIjgxxjsSwL2URgdERk9DIHUbY9QNACi/uYT4c9I mFu+GxQS6Ru9/fa4FDzsahG9uDx7dbPd/s0EWyVd7O5tzcyO2TvqC1XpEoiO O+ZjdASFZhNnc1QaUVZxOimRSRaw3lNDs5VZm1srnw2Wh5RwZ3ezQJkGkM/W TSzL45Mj0ILgpMmm46cSdXXKo6NDcRanqrawokaRDnF3szLlsWBpE8nYwuxY Zb0yrSTxKfFVUk5Mf3f9bXZf98Te220aGrR3dRjPz07BcQob9v8T051BAbCQ vRfyQF/f3slW13QPjSXlluDixKApG1pq9g52LF39QaykMK4gIVd2R2L/XQmR vpraGnwp2K4ey9rywOJ8b0enhcIVpGSk5ijSDcbi45PryvkuwkZQnjHncHN7 nbY6J0YQW16tXpjvWV8ZKFJrbK3mg53R6amuWWf3xurQ4pxjbnbo28VHewe7 +KRgQlIwWMo/BMiI9cLG+UbEBwRHe5IEIdu7CBfWNf2XxqyJyWSKc7hiGBSJ P9ECu69Ic2MyFXFbN3//zSJdD6WRTlJiMFtCis+OAlgIoCNwBEW/A1s8clKo P/s1KCouIXBwyuH6Mg5EHndwsNvf39rUWNZQV1RfV9RoLrNZqlpsWrMJMthu qFc2mcsszeUttio3+9CNS9G1JwIciqKixVKObA1ukJIespTubnD0mvv7Gnth +kEAZqxN6uYm1fiQNVVe+H+9sYFsfz/Wq1gZrcFUsr46u7AwXa3NAfkAaKTW ZNZUK9pbdYMDto/t+nTW5nK9TjE50b2+ugA7jepbbBVzc6OO3sbx0U7nDBSO BIAijSZzcLBtbKTdaChEhJP/jQGS61b36+ofLyg3f/qqAB2lFqcHcIP8WD7+ HH9UXJgHzdMTjncPHYz30ZlRJVppIhTSIjgqGZOcHdXYWObmkGxuVmfk8yZh qxWkJmubDQWa3GazyqDPB8gWgFIYFH0QHwGUq1ZnqlRiAFmPj3c+LbDL5bq6 1S5n56e35+pslSglKzWQwfwxAP9TAPnhLXT0LJz6KiLqf7/DyCsg3AW2AiCj g6NNnaVGVKr4BRNgsFWfnm2ArfnuHlh2ATQf296d+SfqWK/Jh6fmf/SIfOjN BOAHCu7p4WZFpkGRtj6hI4YESjfXf/Kg/+JHue+PfxKKiUphPwmjRibQ5ldG 6KmZ/++rgOhMGUyXvXl2igQIgOycr67W9vbnGtubr67Wm9vLOWkRUGjXFIxP ZAQmNjUhpziEI9hHIgt/ueTXE8XhXofDOjThmHQOaRtb/uM97hGKwcnI1zXb 3ZxUXx9f1xCxv1VWIhyZmh2dns1RCqPTIxQaaXldzfTc4NBEz+XlBniF45OF heVROCDU5uzC4DMMHc2K9qGw7gVRfv0CQIJiYKFo8VlFl5+JrfMnJyT/UqOy qbsRnLzGs370J8TJil7ho97R/cCYUhrLQzmp94JI94PJAVF8UlLGD/54c3sP lpfWO/wZ5yyk6ja31syW6ip9wcBwp+s7DWUBelEUC6WKOFEWG3Zf5d22PkIc 5QqVKeW1BSxRbACb9ADt/yQi5OcwX3Gp3NxcNTLW53J9pt6QchoaylIzo6z2 WoNJDco2MNylqysF11fWFjJyYpIl9ImpwR5HS5KIUqgSyfLi3abgEig2Ltsb DksNNmIedC9xQWKzpdxmA0tMVXvbdcxHsF6Abe/u7mZnR+3+/tYfaZo/ntxN s3d0MD47AeajxbWlSIHUm8pd31yJ4EvApuwNgfM+Mu5+EEbfXJciZyL6R5iv 79z1h1eZw6PD3DJ1ECWmvdPinOmec/YA3GJvb3oVwklMTbLYys/PDre3166+ h7oKadmyuiJP+pOS8oya2qq2jiYAveZne1eX+pfm+2adPYvzfeBxywuOJmvd 8PjEVyiMPmQLT6eLa/Ph8f7oOB80z+eO4IgQHxDIeRMjIW/trLvvPzq5iMlO DmKEZinivuRHIIWJ5UG/ZQkjIgURc8uQDfk3buXa+q0+jOcQIuJ6hMR4YuP9 ENcw8ElMRFAchJcC2K/rW3VfMTBArg8Pd1VXKxyOlomJ/tnZ8emZkfr6ssrK HHDU1CggXRskork2gUY8/cEBurQVDtcFMH+/wzI1CbFeT4x190BASI8c4C82 a0WjWQVwl16XB3IzGkvq6pQmU/nW5nJtS3cwWxAjEUclM6wtVSMDNntLlb21 9tqyCBYiAWBjbVavry8uLozbLOXtUORcPYLQAHhrbizb2V4bGrC1QuBN29Nt WpgfByXc2VkHxQAAD6zLJnP53t4m+G9fr/Vbavi/QfrSKyKdU2OqeEV5A+Yr gItuH8iV91Hezd0WtaGIwg9ALFXKq2W9XXWgaZQVksLyjGqT8vDoAJF27h0e +LGIDzF+qfI0UU5Sjb6wulpeXiFzS5BAiwN81d6u6+urHxm2nZwgJLFQ+UC3 vON3ee1k6nZnhk8kyqp/90T/Ekp7BAXD/cga9hmGgo2N/jUUX9kASYMvoABB Z7Dhyu70guMRNkhUIgXnF3BM7SvI3BeApa1/YgdAnnx8chrM4P/7c9zP7xg/ vr0Dh2Ag5Em753VLiOR5FzL9/TUzgILPVackZDITsxMeBNN+CcEKchJaexrX t2ZNrY2jU46j48U6Wz1kyeNaR4y3Ly6Wxqfbx6ZbeRlUpjCELozBxGb83Rev rDVf/jawubqjLwD3D45PFWiNp2ffwVwNP+ZqfWuLlRLhQcRjeBJbZwMpzn9r e7jKVLW4OnJxAVpq9fJiBcDalfXxi4uV/b0pNDfuB3/io7DIX7+sXwPdA0AU siBzfWv76h/iiYFEUgOfw1POpxgGWDGFCpUfIy4mJ86H5TuzOPeGEPNjAPZ/ e/oX15iMto6MYohp6vKWBctv1tW3FOMKCih8tn+wO78wBZBVUZkotzApOz8h 51a0kRunfnZJWWqBRnYf5fcUH/KSGPYMH/IIF/SfAR6J2YLDg8+wISE6ptX1 xe4+W1Y+X14kzC9NzSlMXFldyCtJ2drZAIAhuyAxTcYCPzlnx7MLEtJlLLcX HiLCEmdH4+JRABp5wRuxN9R3YGsWxgtFxaF0ppLJsVYAimyWCjCln54eT0/1 L8x/zbvfff1Px8C3pTHnF+dzS055mQQXHxbOi31NRt0PJnqRSJw0PIpDeIqB NmgvcTRaElqUH5+YFQs6wp81sRwc7UQKmfe8yL74uK4eKwAtC3O9y4t9ExOd psYatSYrN0+Smikur8rtH+noG+v+xjhKSPHqbdU0IUpRlNLX27i5PjQ/2wMy Rz6hk7le8Lg+hw1FS0rPLQJr99raZ5lh7qYSvTyY63FXs8bzDuS8jcmMzNNK 2/tth0f7FwBAXlyMzwwpykvB3vZZOIMaz5TKY9xeCbd7bJyImiZjA8AvUYp/ xT/tgU2af7PRQW0YWqqJwtDg6HcIWiMkBrsBEmQNFeN5G7+B6+nFCW7Lus/W G3goWLlGRro7O81mc3ltbbFGk1lWJgboAjLPbqnq7qzr7W6w26qamzSNJoB2 SvT6PFODcmLCsbY2v7uzvrY6u7Q4iUQhQcLXwhRJxTpdHrRWVmYbDCUtLfqe nubR0e6lxamjo73z81MAY87OTo/AtrQNIgrogt0/bZC2TovYWgNkBQ6IW6mr 4fBwrxvyBEeU17oOyPG/XFcjHxtpX1uds9sq4ai1Fc6ZobHRzt2djVnncHub vlZfVFqaOjjYAcpWrc3egLXh/3/ASJeXH/hSbm+oj4/3BwZa/DkBHvCe7g5G AtPXW5rnfcwv+TX51Q2l3DR8jJgkLxXYW6ptFo3OVOqGNNcBRs/PC2uUHtTw X8IDUbE0c1NVfV2xWpOp0+cjFJGgAxgMBaAXmRpKzeayHXgTcXFxCYZJuaku KU+8u7+2trXxaUx5uOiXh0dHYVzhvUDiI9TdlREi8w8kh3EYnY7mrd2NG+30 BVhYYTywV2fX9Y+1wgY5N4GQXGtrmzNn5/9MKnWklAtri8H0xIfezFdo2gNv qjsG+j1vSFgE2SN5U9ySpY+CW3lF3fei/+TB8sCgKuqyzK22FzjuWwKxoq4o RZ7oTeUERMV1DbaNTg8qyoum5xx7+/NHR/NwMNmds7MFl2u7qDI9MiGAGE/w IHLvBYap9DrX94yIGxB7S2n7uwZUYVU2hhv8gz8hv6o2Vc4srkpzLvQbLEbY eQ3WDF6tnpwsnF+sDg83+1EYcOzdj0yyPwuT7gWRRmfmXH/B6vnZhGD4OnvX c2wUIUEskJcm5qjK6lUB0QG9I+NvCNHU1KRYWcb8yrU5zacVdXmFSH03Ts/2 zK26lm4zXPiLb0dQ084RRbEQgKKsPL5UEY8wxCKmrXcUFjJ5TKqMTUlkvCaj XxDDnkYE+zIJXElCsiK9pbN+fWVkZ3d9/3Dv4taCi1TjyHhfqSZTo5WDPIvV GekyttmizStNabbXdvQ0JWfQM+WxoiwOKIAsj3+b4jJVyspS8KiCiFdUD/ds g5y8IL+mpJIODmcBdN/cGBkbsTtnBuGXuvzNYAefCirdxkJ/PJ2cHi+vzotV Er4kSpzNwfFQj1F4n0jKCywlMiGclQywAyY4Ch9AJ3iSiOxUTGQCjpaE7R+F nOURL8I/vr6MTLQ5p9tXFvtXlhxu6DI/27u3NQrW5p89In1xHHY6KSolPKM4 6Vti6yCo/Pj0SFoqLC5N1dXkDw+3LMz3gTyR/JFj1tkz5+zNLiyNEyaWqWUA Blgs2q/LkUC1VxqLIuL8ENMjRJN1Q+PjHRztQUvD7sP+a+4kzGbSEgMxXPxD yPk0EselJUnIUNwH+bXHpQj2aCPwMYR4dIqUNTw93NzdvIVQ/f/W1md3f4ed TiAlBpOTQgEWAviHKkSFx/mCk9DYj4LAhoLSxoISviMmBAHwg9TTF6oOrJuH nZ2N4LaNjeX9/Z3Gxorm5qru7uaxsd6x8T6Hww6wk06XX1WZo6vJM9QWgnXQ ZqkcGrB1dRitlnKwAtbq8wBcqdEpqrW51Vp5TY1Cr8+vMxYBpNRqr+nrMSOK NgTkQOxJEBwyHB7srq/NI+Ip2KDaMNBvQdjDOuArBkMhZHRt0UxNDQAMBk5g bdq1OKu2tqCpsWxyogfkj2CnRlPZwcEueKmjo32A1ro6TWVlGQMD7Scnh50d 9eClkMnnL4i19y+XPturASKdnRkU5iUAIHQbIAFoBD59WX4hsSE8KXt7Zx0O kXOws7e1vLao0IhqDXmdXfXHRweI0zEEqk9P5VVlbyPRYL59Q8GwxXwSn0bk Rw0MNi3Mdul1CkSIpFJJANKem+0Hj4YXlCOXC0JZ5JT4l8TQ9JKMuGxRU6eZ I00dc07PLM5XmfVTs5Pght3tWXpS4g8BYDWk3VkcH14LDeg/+qMtnVB0iRv5 BmjYbdcVjIggz/ct2E/82lz58Mjputr/p4NjpF0OD0/sPb0+LMLjQPpPb+n3 oBgNUfd9yPcQgORzDZDuvf8gSvrpHe3fnxHAyb89IhBjYsFuqaLOEMwkWDoM GQXRtMTQ5xg0Typrd9j4WRk7e1NNbWXslPAOh2l6frhQW4WLS1pdH5EWxwZH oX8JpfpQIzhpuPkl2LXkt+BEk70/V2kYnxi+fREG4d83jsD927sbYAlW6vJp iUGeJPxbYnxmSaaslH9yurq+NQkHNIeg7OHR3Mhkd0Gl5pdg4jMMDdKswaxH oCfATv1QRBXEHgkBz78iPkRhkSxR7tUNSTvCD/zXtTiS9/r2zuDEzMziMjM9 J1utW9taGXWObezs9kCqtEv3nV8uyPna5hA/k0LhB9RZKsF6983hkBBHqsOh ka6cgsQCZXqVvkBTLZfKedC+Ozf2js4iMYMZHkP8FRv0nBD6ghj6DB/iScOR BBymKI6SHI3lMwI55OeEkPzqsit4kkQKPDrhGJvsLywTZefz4Zx5iPIupzBJ Xiy0dzQgRP0ZOdfxcBF4Bi4WKJOVGpEkO5qdQvKgw3p8hpcbI4ErQTHBO3uQ 6yU8SL/J4uj07Gx181oB1zM8fic8yh9oaeif/eP9B0eHjsF2oYzly/KFAwBx IuJQ3hSyFzkykEHgpKKZyeG0pHB2KtqPRvCnE7jpaFYKjsDzbmwzWDoblDU5 v7sESAJbxdnlqTJ9dXJmPkcgVVVWrq30IzBmbrZnecHR3WuN4ou8MDFFxRk1 1fKlhWnXNymeoIFQ3lDqw3yRX5rcaFY7Z7oA6Fpa6EMkVFD+zp7Vpf4mi+F1 CDslI83cULy6urgMKba+mDkiELZ1mkK57wLYb1CwyAhAjvB4yPEqgu8PDh/G 89oWLbh3dmmpvsXcNTieq4Yo7EBNBjLwaA7uKYZEiMMIJYzYNHq8KBLmQYoB AEmQGeXH9ucIcBY4PO43JjDye3os+pr8VHl0ENcDzfOJz6SC8gCwFMGHPexu ZEfoOOgclJaTTqisyNr5yEnzoyzvttHF+dbW+szMyNBQR2dnQ3NTOdj+N9QX W+CgpTZLBThpalTbW2oszRVGQyFARzCTthr81NqiRfRfne367o5acECkOnZE pqSsrytpqC+1WqpWVmY7OkxqtaSv19rVWQcDpGuDPUtzOWzarUMgEMA/4HGQ 9UujemFheqCvCfwKHtTcpOnqqG1uLNPr8gGU6oJxV1eHwWgsBvWDvMjUZF+/ w2qsU4EXcUF003vmRu3Z2QlSCZc3Spwb24nfCZl+0+7in5Lc73h+cTE6M9U3 Bi1tbvi9trX2hurhAWMkH9gwICg6SJzP7x5sP4AldbuwNeZ1Vi5XtbHAbC7t aq919DWdn19T8PWM9PkwI8A0+wwPzbe/YgMfYALe0bCGpgqVrlAoS1BrpBqN tL6+dHCwcW8Pkt0pqjSOsd7d/TljSzM9nf9TiDdHmkROjo5Mjb2P8gmOjkwu yPhf3i/FBWLX1c75+YGiJCuQgXmBI94LgkDRtYYlhPI6ggivjLS/++HL6y3w ggiOs7OzleOTJWiFhRERLDhaOzqeg2VKu6Z2vd5mcv0ZW7w/mBBccXRybO5o 8cBy/v6a+rfXkf/1kvoklPhLIPHnd7RfAoiQv//7yAcwUrrnSf/xLe1Xv6js Ut2zgOhQavzEzBx4idnFyf2DzbnFCVI8CRuDexAUlpKvLqtVCbKiZCXx5Dh/ lb6Alix5Gk6/H4S5H0QSFyQwhEQMNxzPi4gShojyY5yLS6ubd2l53Anp26dn 55TY3KT09LaWSoCRTk/Pf3cFHhzup8i54zNDcRJqlDCMmhTxoz8+r0KzuT1x dbXujmwOCf2uNjr6W7QNNYlZ2bI8EYbF+SmABIkNg8ieZE4wK/7HABI9ge9N YfpQoh6Gkl/iIGakqBSptdvx2Uf/Axo9SV7a1NF397lfrtvz86O23pq1zdFq Ux41IYSdimWnYMcRv/jv9GjeP9hFPOuLVOLsgoQ7BkjgyFLE4mJJL0lh4HhB DAMYCRxP8SG/hgc+QPs/QPn9Pfh9MJdSbSrvdlg2N6aRWXFtfalKX6iqzCqF PeNksMUIyB8RSSHxSj4b7i1dxi4pF8s16eBEKGUlZNB5Iqon48OO7H2U9wvy q+buBhcUtHcZUo5/NSF1OLu04kOLcy4u52p0z8KjuofGQDkV2vyRmdHh6Q9x lGCT9W+dzxEVVetA23PSq46h7ryyDDIfFRYbnKWIi0uPpAtQrBQMXYChJoaD E2YyBma3QL8lkDDcCACZooQYdgomNU8YlQx2HNgcVera5jJovu9lXUNKvryx lFHKkxRmZOWX1jbUjo62L90AGAQjAVTT0WVNkgiVFdK5uYnt7Y2Lb1CxIZkr tFJ/5sumZo1zunt2pntteWBmugsci5AoCUJfi/MOsFzK80XizHhHn+0bsz2/ PAc5x2bRQ6I9uZkUZnpEGMeDmoxGxXjFZpCTFdweOFT63NIiNTHkHTGCmJDG yyAyk1GkeCyoVYYgnJqIYQhwGC6OIURzUoiMBEZSBjNLwUPFBLNF9NGxXkRs /Y01eXZ+ur+3bbRWedKeZORGZ5cK8fxAbLw/VYiCdG2xXgAskZNCKAJIxISC JF0+nNSIvt6vhRI4OTlaWZmfmhwYHLC32nUA+QBY0gyDE4inukkNzk31JUgo tM4OSPjT3Vk/4Gju7qpvhUU3HW16xDrI3gKRFDWaVQALGWoL9Pp8XU2eXl9Q X6+qq1MajSWNjRU2m662trgcclKDArW7naT6ekyNjZD19e2AJte+ctbK5uYq h8Nqt0GR5QFmA4gInGirci1NmhuHCEgZV2so3oPFcScnhzZbdVaRQquVHx/t O5c2UNGp+4eQGcyYc/h2E396/g3p6o7s8V+HhxBJq5sbYzP9faOO7HKVBxV3 DtnoXC95Z+dn1h5rRALWk+HFlkS9pXvFZTInRzuRF1hdnUNC17mx3+nxgXN2 5OBgFwxG5OLO/kF9WxNfnvYEF/wCnmzBrAsdhNBXZPQzQuh9NFidi0x1RW3t 1RBhLMxoExxNi8+V6K11PwS9e0lEPY0I8aTjIhJZ91C+r0goaMaOCA7iUlWa nPlZMKYupyZ6U2WRvHQqmkt+gqbCS2TkawLLk0x5Hk6+F0R5iomcnr823ru6 3D45nYMNjVahPem1e/vmyvpo16DNdbW7szdl7Wlz/Wu0FLz3gk5Kaxr+40UE LiblfXjyK2zkcwz5Jw/ar0HEnz2i7ntfMyPd82QAEOVPTgT3D446D44+Yhiu MtlAVTxGM4prIPi3uDItyGbFioltfTaKIOc/vSNQbBxdEBEejSfFBdGT0JxU aIYHczu48gLH0pqhmeErsiBpQc2rEK6uVtPfa9TXlk5Oz379/i8l5C815rJs ZVpmiSgyITA6Hfcah5Gp1AAanUKxO9euxX0wA9L65mRbnxXa2eyMzc/1SAuz HgQRXuEYz8IZ6JjkH/xJBB4/LSslT5kP4SU/vAeBwcmQuyB2r+2Fldmdve2h yZH5leXz87PryFPfW+JvS9cTAbwZQUYHIrm6ExPk03R4OJcgpXb1G2hJYEON YaWEg5P8cvHx6YHrd9Xw8uq8c3a8rrG8qEwsVcS7WSIBtolOjgxhYbwiQ59E BD/GBYOx9hIZsMQwMPRQsTRqSgxAR4e7c1sbU9ub16TKM3Pjsrz4nMJEeXGy OJuD8AZIFXFSBQ8BQl8iooRNj7gh3EBWChGsdMLMKL6Yho4NeQtbIt3E7X3X 1m+EANI3oEF3b2em58ZmFkQKZT8FEKLSsl2wqTxdTCcIqLVWaGt8fvHd9XZ6 dibOTwClFRUkZebG4OPRhARMTh6PL2JFxOJZKWi4da7REXSeDGnZII3bzUVq YlgUdIKOEeHEBbwOB2Tv+v16CugdV5dn5ma6jvYmdjaGVxYd87dUYADSrK/0 T020Vmmz1RWy8spsnaH4W/IFE766vkhZKZPm8bILk8dH2xUlpVyB7FlgdGyy aHamY2nBMTHeEZuSFUyKbmgo6u5tXllGWHG+9RXAy47ODJ2cHi+uzCo06cIc dktvU1apcGAM0l4hnblYK8Xzgh6jI7ExAEyiATQCdQjg5e26BRiJkoBip0Rk 58XTEsMFhSmu71yakZuX1hcEiujxsd4iXS4zFReZjKYnY1Cx3ihYahSVio1I CAiJ8YLMkABGivU2mMpcd5cG6HwXsmdusFkrrM2aJnOppUlls2js1goAUXq7 TV0wP/bggG1ivHt+bhS03eLCxOR4z+hwO7jY290AuyHUAIxkb6m226rNJpWp QQlgT52xSK3OrKzMqTUUGY2lBkNxTU0eAEXgBGAk8Dk62tNo1rRYK9zxCjvg kBb2VmNVVa7NUt4Cs0G6XUERk6Sqyhwk0HNzkxp8Bf+trysBOV9LnFqh8LXO mVG3mGhteVxeopDlSYf6rRNzIy9weGa61NyuY0tIKkNlZqk+Il6sMqoB5kdY Gr69Edxn69tr+0d7d3+++iBa/55s/5wEdk/TC7MbW1O7+9Pq+sp3tAi6KP7o eBf8cnWrVNIyyTuaJ18eT0hADw60XH3GC+mLOtnZpbHI1BiuNAnFoz/GBb0g hiJ7UnA8w4eAr+BiSAw1kIkvqS4ES4cLYhLb9WWSnuNDvaOIz/EhL2FEBG4G MzY4B5jqNRn9iox5T8epNVlNTerLy7XLi7X6+lJ1WUZtbZ6yvJCRxH0Yikdx EmgCUV6V4T+98WEc7uYOTFd7eTE02TOz4Dg+nru8XL6GSdBqu1bTXBUtS4YM kLbGLy7+haIVX8D2PDOza//Pr8FlDdW5JSZvMgcApB89aA8CcT++hagjn2LR 97xoD7yi/tczNJYf4zbIdAs/wZVQjuBhCGVgfNp1o2pcXlvoHuzBxUt/8MMR 4wkxIixDGMYUhvEyIsFcBPa84JMYh/0llOxBiplbusv3606HB1tg4DeYqhrN 5VaLFt6z1Az2W3evw6x/UejkupGc3NmADI33jk71p8g54sIMMBniYgj/9z2a I5ZdXW1cXa73j3XtH8xeXa1fXa6eQ2F2NxvspuW1UVhburu9MVSgkpeVy2NF okCmgJGa9RjNbLLorY2lakO9D403ODo8vwwJKqdmx/yZmGAu5RUp1CeKALpo Um58dUPx2fm/BBGWC9Z0L61O1FlLZCXxNaa8yIRghJwcfFL4AaU1WZuIQ/03 Yzp3VfcPtZdoMrPzE1Ik9NTMqDQZK03KrtbnqnRFAoUoRiZ8T48Ii4kEI/Q+ yg8M0ufwuAuNoYLqyq/M31yfXl+b2dpe3t7bgcK1uK5UFbJUmNz48wHdIJh0 V5d3bfKk4Akyo9gppGxFHDUp4h3d6z2sWUMA0luapy8nYGV98Orq8DeRIFIP RyfHpo6GjoFBHypfptLeh4MF51XVJOQUezODI1N5TzD0lQ3IynFxdb2myfaN dlzdQ51peYlI7JUUKSS4YAjxMekUKRw+WCBhwuMFHZX8YRGHhEgpH31lJYfD gqZwbAwxSoht6/1uBkKktC2O5tgMikpT0GSp7equn57qXLxBRwApNZirUzIl pUp5kTKFkhSKivGip+NK9HJFlfTrlkggc6IwLFFCM+gKcguTKqty1BoZM46P pce9DIzS1yoXF/oaLQ2eaO5Tf1AD2ZAx5/eMlE/vRIIN7R3sHl3Hi4Gqotqs oiUGBDOJuBgc2KbdgZ3IV1Cx1EQsNjYM5kfidg11fldJ3OVxj4i0Yn5yXjQt BcNJwwNoBNNTe7JScVi+f+iNuu0N+YG2EWzT7jTZtfXR5ETP8KB9bKR9cqLX OTO4uDC+ujq7vbV6cLBz/rGfEbitE2KJ1yHUQ25/f7eoBzmgEBVNkJc9HJNL VlaWoVSmq1TiSshau9hur3U47LPOESjyLBQ0ROUWE4E/mk1ldfUqnU5hs1bq dHlugARbKNUCLFRfVwzObZYKo6GoFX4caG4oLm27HmTY2lI5OGB3t8j80lRd fWm0SFJnVKUquMHRAR7kkJAYb1wCzoPy5jnO70EI7gn2HUfCwCWEWrvth8fn 36gyA5hc01ByeLBXWJMDMCr4y97Bt1Lk/XUJmUk2d7ZTCiXwfnw9QS4Ck+G4 s3sD1mJcXR4he1yQljeW9I3lpYZStbHkDGYicguo77zHjQryWilZ39rMlvCJ QlCfkR7UcABy3OjIfXjRcT4AHRk086vQSFlaX81QFsRkiR6i/RBxk/vOF25k RQiNkSTGZiapK+XlGuniYt/KSr+lWaNWSwHSNjWo9LpcoTQxS5EOOtLYWE96 fpGm7kOYqv3DIzAeN7ZXWvos27vOq6vVs7Ol09MFVgb/JQljajfOLAzu7B/8 w9vkiwkp9uLypj8lwe7oSpZVxkuKhfLC/3hBDOJERfCS/+YR8ZqMeRnKfRCE YonSh6cn4BgHH+SWyEnvyPgIzIuImGQgGGlocuEVjhoRExolCCXy/NiphIyi TGE2GxZWgF1b+FsC5T/eR4RyBROzUKijOwAJ+Tow5NBq8x3dtZ3tOjhyNDTY waZmZMh2eXF4p598yVv26gbLgc9qkzJFHp2cy0mUMWPFJAIPReTHZSqLTk7m AQQan+nXmg2wUcoqzFewMb80Ym4zgx4NuSJegf68tbrUW1FTMjw1B16Wnpot Ki4f7Lc1Nmm3b6jU+8dHExUZAGb/Eh4IOhWA34+wQU+wfgHMsPHZqd/01/tL E/Loja2lpCx6lBAF2iI6HY/4it5aI7CkOH9BNnNwHGb+/76gD5DRt7XVWFwm Lq9R1DaoqvT56TK2RitrspSZG0t1BrBbjM/KixPJ+Qp1dlgsHcFIoJYAXvo1 PCgylU9Kjg+JjXrPwHcPD4A8B0e6UjIZmfLPoKCvHAAgJUuiwKMh++1sbiAn 4A1ARGw/ghD/mvoumOuP4wWRhbi1jUHYKPGrLwXXm3NxZWx24jH+qUwjfUeJ YqblBrMSfwog/s0X+4Mv4TEG95KAexAcGcDkSVUaLwrv5yD0zv6O68trK1Kx h8eHyVKWMIPuVg5+IgeLjhLiwqNxDAGW+TFGch8AQYHlHs/DPcdSfwwgBkbF 32ZK/+a2g242dxiL9bmVjerSSjk7MXVmBvLBn3VCrvdDQ62vQ7mvg5lcIZua HOrPeQsWd2y8/0vizznlYtcXpD1X12Zya7R0HE9MBisyRL1SDmbUrFqdQpIX zUvjaqvyzE0qgTSRwk5iCbiZeYKJ8d7fYXZyeXV5m8vRDTaQJXV9axVAFChG tiCczA9nplxX3W10FJkQjuZEPA+n+dEJuBi/7NL07yrAZ4p0eVHdrCnVy0kJ wVwRIYjrAQBSeJwvMxULTgBeAugInxRcVle4ufvdTYako8O9jY3FxcVJgKMQ Ri93ZLRr+lNbVYu1HByIzgv2Yqswm5SwK1xGVVVufX1ZR4dpbKx3dXX+xtEb Sl2djS12g90OUUrCxtsQ63VTY5nBWKzVgn+V6vWFiJjIjaA62o2giZsby3Q1 CtDQpgZld0dtXR10P3guIu8ym0pXVubATFjfqsMlBBVXpMmVWUxhYpFSCJtm AcT43ofhF8bzwyV4+UUFP8eSAznvg7l+7yI99RZowf1N/fX+4V5epQQX55cu j7HYaynJqIaWmkQFF8D4oQlHfA7LuTDpnB6xWKqXlp2XV98aSulPSfsAtB3M zyz0QUqtvemqxsrZpcGj4/nz8+Wzs3mwX7tz/1e6xNHR/h0zSGTdbBvofYwD 604gOJ5+Dh2Bw4OKe0kK01kakD9eXF68ZxCeQLKmsBeEsE/vB9cf4YICovD1 daXNTRqlUmw2q0wmpVotQagmQUcCR402p1qbA3MrSWqqc48Olj4FtCubG9t7 m5eXa0fHs9u7s8J8cQCH2jMytLC2ePutb/EY/3NWTNhS4rp6F9dW7N3D03Or zvmV/3pFHnc69U2t/+cVCgCkR/7MHwMDWhyQHv8rPfPyFmoCaWx6kJaIFhck OUYdti5Ta681KYuVrRRGiyIZAjSFH6AxqA22zr2DzyNGCIldXlU3tBeUqgA0 QgJGXx9tOqW6oFhdiTztzh+3NpfXVmfPzi/Pzi8WltcXVzZdN7qGdocloyAO TIm0JAwDNu0gxoXWmOR7+9Pgf72DdScns2kFRQNjXccny9Vm7cJy38X5mtZc u7oxATDS6cni6dnSxtZElirfaGt3wRYpPSOTALY3N2uPj/bBhLyxvRotpv2K 8X1BQiEg/FrzS0Q9xoUQhLHn30Md8xels/NTa2c1OxVzBxoxhCjwlZ0aHism gM+MQv7vy//i4txt5t1s14PVH6zyCemRmbnRRapUjTa7pDJHVVOk0MiDuRRY /Bv2NCIkNIYqkKelFsrklcqJWefJKbQ1Pjzan1+czs5PgK2vPy9E+uyRnsUx W8t0dYo0KStVygIAyRN2CWFkUPEJKAaEKKB3zyyKVdVI1zcBRP+aAOT0/CyU I2hs71PUKJ6TnnnRQ94QuCxR7r0g0hM0HSZXp8K0sZH3Akn/xwv9EschCJgG e63rtyJtgWRrM96wjn/+XVJlLG4yi5mMvSPucAtAwCfo0i9xpL/5Et5H8vpG p35Tu/qVVNOojk0n5BQkasoLOjuMAwPW1eVBAJP6HLbHfuzkjBRJPidRypDm xWUXJEhzY7X1JWtbq1/a1yMX1Q3FzLQIhJiusiIbPsnSVuVK8+Lxif7RYmJu QZLWUGA0FIlzWYI87imyTP+BefHWXvvGLeVoi5sOcCaadUunxklFu2VxLEh2 hHmFiwygkx6jCNQUmt3xhwLPuWCABD6NLdX8HFZmIT8k2hPHD8DG+8WIyZ60 x9qmMlO7oWuo7Tdf5tZrQfHdbi+LM1P9Aw7L0KC932H5lB8eYJLBAZtzemB+ bnTWOWKxagGA0Wrlen1Ra6thcLANXFxYmDg4+IghECl2X5/N6RwDT9yFYuye OmeGLE3qjja90VAMlsLycinIobpaYbWUI3IkJBZbS4se4C7Yixw8KBeBZOUV WaBx21urJyd6m5rK6xsgfWJBddZbyi/UFLTFqiLEx7CSudh4n9AYCCCFxvgE ca8N2t9TQ0JifNE8n0DOG04m+fT0a3J45PrKxhKa5x2VigWINDaDwkjBJOVy YmX0muZyk0ntz3xJTAop1WREpxGoqeGHiHDmH4KRYNez5StIx7QOdtynpwu7 +zPXW/KrtaurtfmVidXN9SvXNRnLLbnBneKBleSkoUG9swMtcDcqlQ9pZWND qi58CmvHPoU64HpwNG1+een49BTy2r28rGqqf01Gg19f3axcnx4viWHvaLis gtQq2P0NoKA7UUsQpKQpl9XUKEA3MxoKz842Pi75h1ni6urIdXUAXtHc0RbA oQxPI8EdPpotz87BMv4dND5/RZqanx2YGE3Ik2WUiE9Odydmlt+GxYMJttsx +W/Pw7LLlSZbL1Oc2j8+8iXpx+XV3ci84LOxVV9n1SOvO780EyMi2jrrLZ0N 7FQcNy0iRc7du+G9+TTPa9HWykpOfn5nR63JVO6W4sLKbp1SU/zEj9nSOQJz AUGqwovz49YuR3VDR35J4UCvwVBvQDPExOisIJJgeW0L6WmLq3NJWVEUfiBY /ZmwSoKaGB4RC+2+u/rry4059daiPoj/NhXg+UcookIj29lzvsDSlLXVLtfe +qYzRpJdZ7O/wDE9SNEHhx+2WgglEXhK71BrAMPvJQn9adf6BeNfoKv47Pv+ gxPy+MbWKlIcRDXmRkcJUirADKaW8o2t6bWNgUnn3fjOrm92CQFNAg3zq6vJ qUGpIjY5g2ZsKMosziQJOL5M0pvI8F+xQT+H+UDo6MZa25uBxyeyUTwGXZQ0 v7LYPdQ3ODlaZ1aLsjiZcl66jC35BDl8CVRkymNTMqPsHTUnJ5vgXK3NDuWF PiO+wCXhwXa+oaU0kn+tUqQlhlL4QXxpZLaSX1qdeYc9G3lZgOGZGQk/+GMJ CdLOoY6XJN/X5NBHGKw/I+lZOONOVL5fYba01wRmKA/NyIi6/KqLOvLT1vb6 1+VjmZAOkUmOxwQz8QDek+LDWXAUQgofS0kIB0iPIQhNz0v0osQ/D2d0DIx+ aOPvT6BIa2uLYyO9TS01STlR2fmJYCXt6DDOzXZrarRxyUJtVZa2Uq6rzquu ys1Xi5R6+dYX3a8+5Hl+cW5vNYA5E+GpAxMphJEqZDVaBT0Z8575gicmW5u1 i4vOOqMyWkJxwiEY/pSRgmTSMzyeqaxOkPFAXTHhMI4IIsJG40jxWDYU/AgW xKVhvCmRD0LRcTlpR8enf7wMyISvri9SGwtNTZVYng+RH0hLw61vrjR2GvcO dt23fe8CvbqxNTg2urbqdM4MDg22dHc1dMOBX9s/2FRr+3pMx8cHW1urs87R wYFWm1VrNqkg/zKIN8kEfgVHT1f9YL91c2MRienzceHv7ubGx/uazMruzvqK imy1OrOuTjkzMzox3vsBktmrpyb79fpCtVqi1xfodBDHTneHATwXLJ3WZs3I kB2ArjKV2N5hSStOCuZ6BHI8sksTeBLOz8FhYTHeAB25Y+Ne0zXEed7wNvh4 RP5i7jC4vrzvQNprdWOJkBQC/oIoNGPF5IiEQL6MzkiPyFOmIrI7HN8/kP2m uFbh+h5Ttz+S4LLt3A7ChVi9wlHRry2WF1b6e0f6P/eCiLrkEmGmurjYHBlp qaqSwxxZJwZD8ebmdZQBOJ0DBJWoED1A+74k3gVIYLJ9hA16iPYz2q1I1j0j g+8Z+HdULJiQ76N8kU3rR5gKFvJ70XHtPabRESsYuQgcuo2O3AcATgZDwayz a2Nj5qbkH5rm8sbF+/a7HRwdHp0c37446VzuH3EOj3WXVcnHpqYRyQzCYPCP WUDBU+ZXlstNBlpaIkXIJgnYXqS3xVrJ4NhMVFI+gKdLy9seEYwKMxSV/uLy dzuOQbUxMzcxPAn5dvUOtU3PjeVXZEzOQqHbEVDx2bKBz42NJbNZ29mmG+it Q3YofV1G8NncqBkdtnb2tbd2D7j/MjM9UlyaW1ldbjBWgpu7O6qTRJk5BXlN jZqu7lbXTX9bWHEKc9iRiVjE2IAYh31HIFETQzlpeEEOi5OKU6gTn4ej+0a6 9c11j8LCN7dHGKmitwT62dmSy7VfZmgYm5mvbmr5H8/8C7SQ8++HGHxwmafm p1+TIP7DF7fREQn1EOPHyUx1fTPA+BPTp4+DV23X4vJ4oiySIUC5xRH55emc NOzqda8+RuxAvpTJp49xQdL+rZ2d5cuL46GpcXxSDNjn9o0OiQsz+vrtbV31 TyOCfoYpIp/AuAjaqtyqJTAAwaj0iMQAMAlG6N+C3iXlpMoUvJRMZk4Bv8Ve JcnlZcCBdCW51zIi8NOXzLNlefF1jRAcXV1bPDs7aXHYA6KDYnPiltfnBkat 0Gp4vUSGsyFREiac61lZl38Hz1zA5tb19q4fA0Ifo8gPQ6jhscI3JPzDEPIL POpBMPlLhOq/ovBvqZ5vaR4DExC30m+Ea7+6qjGWCMTUhAzGjX6Qe+eN0rOY tATyUzQFICI8DwfQEUOA9qYQImIjWCkoLNerw9HkXFgZnPhgB/gHU4kxz5P+ FOCWinKZobZwdqZnaKi1WitHpEDQUSFrtmg/vMXXEvQrWBY3NpaXlpxgYS0r y4DyqcwqVqVnFySGxHhh+f4lavHuzubF+fnO3vbJ2Z9mq4nMxvzsov/xLDiU FclNu1argQ7ATUMDzOlBILJT0RQ+gJoYelLI47CwR2GMnf1d15/HZnZwdADW tf7xHn52VEpe7Mj0h4nr6xAaSVe3HN7Pz88mZqabWlsxMcl+kUwAV1qsFQAU waHWtG4a7Rs3fD0cc63GZtG0WMvbES0Y9BNijKSFDaqrdmF6wK8W41oQB1JT U4XDYR0d61UqRSqVaHIS6uGO3kZEtQeeMjxkBzgKsWiqq1PV1CjstkpHX2ND fZmhtgDctrW10tnRkJHFD+b6h8HcUKADoHnvXhOw76mhmDjPsLuh9LxvaDa9 K0yli6vzXxdXVppVzHR8tIgI/oUAJIogLFKAIkC+hH6xGRQczAIBfnrPeApu dn0OCv4V6ez8XG/VwyIjxJMLAUXrsDRpFREiQTvLnUlEO3/rvdynB86ZPoBO TSalXp/XbKkCl9bXZsvLpWZz2cXF0c39J5eXW0trzshU/iNsgBvtgBOwGPmx SAxRXNeQ9fjkOsjX8cnJ6dlZS1/7S2JoWrEsNIb6CBv44pb1EfLfx7jgkuqC qfGWWkMhQEFfAkhgctDp8i4vlm6vIJ+mKxfCdvWZpgQXuMm5//6UiOdkZsr5 iek0raHiDwjFvzshRaKkxP9XwFuwGAWwI95RQwNZ6JfEEByfcXh0rfZaWl9Z Wlv9nQHBXXfJvtwo/QTep9+efG5X0e2IIUU1VVQBO7sk02qt7GrXC7IEtlbd 1urg+tqwywVmsIOOQYe1pzO3qkwoz+qE/FhrLM1VyCTQ3aHv6aoF43FxYdJ1 rdOEnliib3gQRKDwcWCqpCeFP0ZFojgEblpYlBAF5kwwQ5LjwX48trBS8nff IG1D0eTs4MMQXLZaNTzRYemCzHJAX9I3t73AMRGT7MsbrqORSYcwJ+YNBXXH KO4lKexXbECUWICEgfgHpa8SqoCJ1uU6HJ20RAnRsPNaWIqcaWqpUOmkN5Ph h0a51TpXE1ODSyuQ/dWNX96Vu7EKqtWlNUU7m1PH+0tldTpmhhBcTC/OfRIR srV3MDUzojVV2rvM2noV2Ko8w4feqSXw9ReM/xMcJBMO5pKl6qK9g/3KmhwI EeVE9/bVg54ZlUQJYkcIJOyMbE6RMkVnkKdnse8wUrqPFSik9YdX3tjZPL84 19RmZRTGyUr41MQQ1o0kAZxX1uXcaNk+0hSvbW4PTTpf4NgPgqF4dj/5kx6h 8Y9QpCfhEU/DIwBkcuOix2gCfEJ5GEJ7Eo5/z/R5FPFEWJh89VvSFfDZN9Ca ImMzBHgkvEWqjH0nXmqmPDpRzHkeHvkCSybERXBSQV+lPgtnkONRgix6Y2ut m0H3jyjX3IUCI+X45GhxdVZnLosUhCVns9Ta7JyiFIBn3NOgViufnR37SpiM L6WFhen+fjv479BQp7I2DzQuOTEkMjV8e3fzr6NXJQskP/qT/KhEhBjhtpry eTg5IhYbHEUIZWLEhcmVDbUhHOHO/uGfvpcB3e/07MQdLffyW6kY3CZVkP1n u72GzOO9xkXeDyJhuPyhPlObXc9OSaut0/R11TU1aUwNyob6EqOhCCxSOh2k /0Ki2bpDmrrDpXVADEjVPV31J8d37V4+Xw64NjY3V6qr8/b2tgcHOwAK0mgy 9/d3N9YXQJ693Q39Dktvj2l5abq5uRrAJ50u32gsbagr7uqoHei3gz5jaVJP TvRs72zoq/MSMjlB3HcIsSea5xXA8vcgo1E8rzsACRXrTRCEApyDTwo++bp+ Df4sqVV4UB9x0gmEhKBQ2E8QZMJICUfzvENiPPH8QITDEx3nE8z1aOqsc/1D eH2RR2gajMmF4vPz1TPIaRoiltnendo/dLqu1m/w0trRyULnoB0xPrm6JgwB G/HD4+P18/OV5ma1SpWBjEHQEIcH83OzXaVKcU2N3G7XLS9NLC87wb8SFbIg Lv01Gf0YQJ0bYw/YJCnYk46jpcfu7jvBjHe7Ii8vt5dWh8C64Bizg/vfMyAO pZcwpkL+/hAT4MeAFeUa2aeg6LZMCZxsb01eXR258wdFAriioq4ks0yyvrly cPSRac3tBkVGXV1jOYEd+TKIzk+Lyc6PFmSw0nPzLfa6KedMSVXLP4CGedw5 40mPQCDlraUq7FeMX3qRpNZmHnNO/1nPgmcaWER2s11yzwxgj35yinisIAjq Q0WtbW140nA/hXkHsUkVusIIftRrEqrRpi2pLQHtuLE1LlFlgTL/Gh7wc5j3 E1yg3liKRCC6kTBDnqdmk2ZgGOGivHZ+T81X/5sH+lVEZGQChpMS6kMJ96FG E+IZhDgsMzkM1rxg6YJQUnwYM5XLE+Mdw83hMdyIuHh8HDtLKXLrE4UKFU9a 4LpZkgBmSMllEXj+njT0bSM3gARekVA/BHuSkuMOj4/+keIjZBKenxu9uO1h dHUAc/4cXV4u51RmEBPR0Wk4Cj+4RJt+fLrV3N085hxH6ALcmYDP9Y3lg0OI K6NSl+cYbDOYyuYWptyOS+CW3f0dsN2oMCqPdueP9pficjLEygLH2DAlhfcQ 7Qdw0eh4p1SZ7ZwdON6bW5zv1xhVboIO5HhFRqvrdJNz0wB/Hh+uX55sjoz3 1zVrKvX5wgx6s6VMUpr1PjLMIxLtQUGRE6k5JWmSUml+aXLWLfbsGxUbL0XC 6O23u272hu7XGRi1MwRhwuwo2AgtnJYYmlnES8vjtPfWwDffrUB0TAo9JSuI lfBzIPHXm2BDj1DgnPwsAvNBahRCBQAJXAeQ6RGK/CQcHRwTFi/nc6Tc32zv a6XA5mpqbqwkh5uZGyvMjHIDJBHMfgk56+XEvCMwwLMo/HCmMERcmP4az4yI 8W1qq71p68s/RXZ0O126rtKLE8Byw5dQNeVSzY3JgVqdqVZLtrbuhjz++mt+ eufW3mZrlzklL8aT+qgVoSb4fsT19Ye6IHbrgxAOxMsRHh0BWx9hb4zbw6PT 0SFM/DMM5Xk45Ud/IlcCjejdg8N/uh4cSciqOjW/WN7Q5II6ydLK2lxyXpkf Pe5eEIWVIjI2Gf3ovJ8CSIkZQkE2HYk9qiqTlKkzNRoZ7JVWWGcsrq8rbrFW utERHIWt2m6rgM9rEQ75b0lItfT22oaHu8DJ0pKzr68FCQczMtx+CFFkX25s LG5uLG1sroKSgK5SX6eqrS20WTQjQ61tbfWG2vyONj2AZO2dppLSNHxCYEis Z1is941azfsT8REkX4pMxaJ5PvxcFsLz86WCHRwfKKoyI1MwMC1nIDstAjGD BzAJG+fnZukkJ4Vg4nwDOG9wcX47CEH6X9/cyCPmV5e50uTyBs3MQv/J6drM ogOscY0dRpdrD6Cjs7OV8/Olg6O5s7N1aLG4+e/e7pTBUNDSUtHvaFAqM2Df QwiEqJTiwQFTT48RtDgYkmazqqWlHLQI+MvAxChRyAvgRIbEMAAoegmhoyC2 JLFnpG15feT4ZOXq8iP/R2hFvtoE+8gLSPKzGZMlDOJGvqFgHuOCHqB9wZYW nL+jRWQUihAbwppqhVab67ZBQpwvQBnARYCZdbqC1dUF161Rv7S6wM5kpxQI 7mN+oaVR8QJCibF0cmZkZrLv7K5hA9Tnm1pMoix6mjQ2TcaV5ELWFEmiqOQM aqYi5W0oXWts+itaDcnw6OQ4rUQB3hfU2+fs1aGa/CHonamj9eom9PC35Pzt pUXunJ1f7Ouz9vS0mJsb5meHBgdsI0MtQkmhQFY5OgnFkU9QSAH4AfjNn4n3 ooY/wPi/p0d4RoazJQn2HlMgh/xfAZ6/hAcgRDq+UXhxfrqj23hro6QD+6aB fqtbC4bMNm2O4TCu8AmakV5Q0jtkJfPxj9H0SGGOL42ZksuG5EhCLDuVTEsK rmooFeXzqIkhZH5Inka0vbvV4WhC3hPM4gdHR9PzcKComzdS1Za8Ivg/xPj9 Gg5AO+oVCWLlCuFin+ODEuTSxfV/XJgh8KZgjgIne3ubnW16sHKurc4tL01e XR5cXS5eXe2fX+xKNanPSa+9o8CkFOgd5RWfw+LKOKSUyFeU113DXVe3NMX9 wx1gpW6y1ZycHKkqsobHesqqsg0NZd191vWNpeERMFWeN7cZQedJyk2bmOyc mx9G8aIyVXmouCiIXowYtrm93tBm/Z/vX2SUZNU2VQFgwxTF3e51YBgKFBl9 g611Vl2V2ZBWrMirkBst+odo/4gEtqois1CZnFYofojxByD5SUQIVL1k1H10 gDAnqdpQJC8SQmo1KNAJF6FdSpOxQCFvmxbASOnq/Hw/JZfppjUAACk9j9Pp qE3OpZ+eIWQpH5Dh2fk5SyT/v+/DH6NonwlMjMEDRARO4AOSHT0Jx8H6NYJX lM8TwlNFdf7C6sK3t7iqEiI0EGVxhJkfbLbTsjgiSLEYnZzJ9KcT3xKZZH4k Mc7LYKk1WFvxsUFTc5MwNPrzdQSIrGP/cK9jqLWkXFKsTC9RiZAQTgZDyeho zzdODnfSzVzxoVpWNpa6h9tnl2dcf/YAQXIbnZ5DcXlBUThOGo4JmRtFyEoz WJA7GxrskqiJqNd4xnMsG2Bgrdn2p4PMOyX69luR+j+7OFPXVWDjcd1D4/G5 MRpjATM1x5tKfRBC9mVg3pKCf/AjPwih+lLJEfwAnphaqc0xw7zZVpjyGomb hgjVEZoUmMWxpKuzYXNjEYm59i1Un7dfAVkXPmmpu6/W1dUElk69vrChQV1f V9LVXjs7O2o0llqa1CvLMx39bclSBihzaKwXKvZ9AMvvU3QE0Ubx3gdzX+P4 wXHZXH4u8+vKtaW1hdCbUHfBMJcCAQAw+MrtOC8Aa4Vw35XXF5ebSrc+MW/+ q9PJ6alYWUhOiT8925epc/6P35v+8XaAymGdFNi9ArTwQb98erpfa21TVRQB 1AGFJ666q9Vyi24AOLHbtY1m1dCg9fAQQn2Hx8dtA71vI7G/YPzfkNF/C/Ss NFfAYURWbz/iVgIT/unVJdgIn45M99S36gtril6TMfJKFVjLfJh4koDT1qpV KsWIEq25WYMo2srKJJOTrbPObtDWoDC9vcajoxV3pkjTOKf6qSlErpSD5Ye/ IL95Q/V4SXkDVp8yXf7RLQEmopLY3j0oqypKlUZJIR7gD5alktzYTHlMehZd rc2/+gvs6hGE0D8x9poS/qkh1o2qMTSIjUZxg3tgApDfMJ/4XP5fT8i/VtZ3 Ipgp7fbKjlYtOGzWCvBpMJbFJaen5xZubi/s7s+/Z+CfRATfC/MFiIiXnfwE FwTWR4DrTk8XVjcmfKLwSXkiliQBlNknisBKi1VVQdQcH3ZJbbp2uxYApDsG eOfnUMBKfXNrax9E1rq+teFLjyfwRcx0eZvDkapgk+MDMouTotPxwhxWQ0sN kecLecQnBjsXvhjDFJnK5ldX31FxouJsspB5D+XznhrkQwsgC1lpxdnWXmjD 9RfPvTd0E/vbMIe/ZXtrdWy4fWysc3trpbWlqsVasQj5lq5dXp3X2qof4595 M309Ge896O9fU9/RxdQAbqBXlPcT/LMam851Q6YNPnOLBMkSen5palGZOKcw sdthK1SJqg3FTXbj4HAXN50zOtYh1+T8HOb7mozKLssGleBFxwEs5MskPsMH +zDJl5fnMnXhM3xIjCz5AdoPtOkDtP8d/dobChrcDJoYDOd7YT4cSdLm+hQ+ iftjiLekOKOoVCCQ8SAO2Bv7Llj4GQZ6CFXIMjdXAGhRosmUKngAIykrZAJR ZHOLHpGswFVzCZNZ7Riai6NFeICOWDc2SAAstfXopue6zk6vARIiErT3/X/k vfVXI1u/N/gnzQ8za83cee+9jxzpPu1uuCYQw+Ke4BACgQRIIMEDcSKQEByC Bnd398Y1s6sKaFpP93m6+7nvmr1qZVUqlaqt3/35er83LcadFPmBGfYn8hRj SPfQtLto6iN8+B10KFWY4sv1Y0hY7d8SQgf0c2VdKZSxRS8jxuOulWupMm6k iBwnpvPSWSGJhJae/onZ2ZaumkM4lG5ta8vJld52Y3ttaW3hiy/59hl1RYJi spg+rOeRYqJGLamsVO+/n93sX3n+z8laWFSaEZdJ4qRAAdnIcaihieHCUikp DpeWlwC4ob95oJJy1W29Q6twVP+vD5r948oZpAR39Y11RcroGaq0KBkPFynx Y3tn5Me9CeMGcvxehOG9GQFvSLh7QbQ/UFRPKh7F80XxfWxVxY56QzWcQxZC RM3vIiAB4GQtLygvL7Rai6anh/f3d8Hn0mVAzr/S5C/DlYODPbBj2mzKCltx bY2+pqp4cWFseLjLZMxqbbVGS5PwcRB6QayyH+PCvRmB2PcNkNCRbn5sz4hE ZlhCsKgwZWZp4gtVBdcz1MmBvDdIPj5IahTrGx4fiL5KExx0AyB5M5/qKgpd P2CT/XJBtoDhqYm2/h6wDQVFMZlioa3Jenq2DLm2XcAKxKsZeHB4SBfG/5d7 sFRV2tNRoVJJPmf2g6AUh6PUai1QqyUT4y1go0NelGvU4uO4gGyi+DR7c/n5 +dr52cZXDDe44fD4eAuJtSLVKJt7mtF8Sk6RCGAk8LqSEomzvRy8Drxdrc5w NOqhAT/Y1elk42NOWHl3HWQDOpmZHsREodwYnn5cPyROryfT2w3efTiZvMW1 y5zUSP/kqKpeBxOz86KRzJ7XAU+kOZGxKcykdOHuZUirHyJB2n67EZ5AexyK BvvLxwDpSXgQNREbLQmbXoBNd75o0nAtZHi7t7N75ZHxNXUYmZgP52WmZGTB /vuX3A2sFDMvLXS5LtZWN0YA7HlJwvqyI1jiuKS8tN6R5sTcVD8OUVupqXdW iIszK5rKAKzlywQyrRxso6A5r8m4FLmwHWaU6utKa6q187P9X5BuIcPh6Ox7 GcZp7xvaPThydFSFR/sIZMx8fXp4lHd1U1lzZ22+TgJY9aySFDgm9ns2Kh80 bnIeojaziwvF5aZicw5dgPNmRswtL3/44h9WTk6OBgeaARyCgug2m5sbSwf7 m/r7GhGDzOGhhrMTsIceRWbxn5FeerK8r1NveLF94DiKHr4sH3lxckW1GgH2 k9PDqTIomhAUxjCDkVucbLYV5RQlWewqDyoWE0X/LcgrXZnBFsf+HuQNVhAx kXsryMefHQGuwJlE/HjStIO9tYhE1uOwID8OCSzV1xS8JyMc8Sq9iZGgk4gg kjA6RiYcGu3YXh/PUGYANAUG3Viel5bF82KEwmJP2BcjFI1oMJ+FBZZVaYs0 YqO1sKJaqyhMglKfj3Rtbq3dHKbx6Z70Qh4tAU2M8aclBiHGV+AAJ2OTjpt0 F5kVZfUtf/PE3w+6VKu976pGuhdEvjqnvCD6Pg4JfIiFMtH84hco0xjzLXmx injXN9o2gA5XqiWdQ53YWFxKJgt2XuMnZTDFeQmExNCGrsabcUJcNzj24amB PENGriat1K4EROP02wQCf1IQWeLu/tvukQ5iUjB4S11t6dvdre9oonPxKceW 71WQx45NDzV11jr7HMMTfbUt1o1twCZcVDZVp+XyrfWNKG4SKTH9R7z9rxVk 2ozODBGTgiIEGGpKGEAI3vQIFB+gBfQbYlgg1wccYK9/gg8HyBwcnjRUECQ2 8YhLp+p1UpM5F7E7QmASYrntaDDU1KgBvq2rM9psxXp9VmGhcHISzgL2Y7QV o6M9AI+BY2Ske2Kse6DPcXJ6Mj7W3em0M1NCAnkobAykVgO46A0J+wBDRvF8 EBskdKQnJsonShyB4nl7UmKytAX+HP+N7d3PVRXZhbM0Il/Wc7gf3DFRXkFR HlfW3ZAwChftjXwFAAngKEoy7vj9MJs/p1zX/uj4OEYu2dnbK3fULa1Nu1zH F653ktWtnR0UO+F2IPmfPqHx8mKNWa9Sia+Vax8jJdgkvggRJfX31xwfLSAY CRRzffUbKgE23zqEXee+Jrv0O9p1fTKzML2/P+9yrbe2WurqtHW16u4ue3Fx qkEP4Jl4ZXnKBYsNm5ttro/sisE2xEolv6C89riRfhdw6C8prxLzBKubaxdX ZX1zhyMofhZAyVBEwgApEnZY5qdk8iiRbGFGwvD4guuTNrb/ckEqsLG1kl4Q +yzU62Eo+sWNIAnPiJgH+ABmWszw5MAGvLlcl+OTkw+irq1vrlQ6TC6Y8wU/ 6az5horCtp4GhLX8MrRDHpWmMGGoMU5IG34p84EwksPU11t9frpa02a7g/Xl ZSZq7ep/+LvhYhgnJ4vrW2NvqPjbwd5hCZwSW0l4IhdsyuFJXKkm240KycSY Kfz+wYbhwXqAByrs2lBWgrMLjnb4gbn4jX3zUgC4cIlhzs7OBsa6qQloTXlu jIQsyGa5YKvy+aUZQ0UREjHjs+26Mr/MUVemKSAhzNLqUs/I4Mrmut7qmJxd Aq86+zEbAfLMpcXJtpYypCdvevsiDiYtzaaOdmtHZ6XCmO7FgtC7+43DG1yB E0ZHpVHEMCI6PdltcVYX6zJTpWzJlcYnuyAxTcbVlmYXGnIehgQgfvrZ6ixP RugDQoA3M8yDHgKBFhhpP4N0ZwHB0eyewTZ/TsQDQiCCgp5HQFAW3Ab+fjOO GRIzCgDdu1g/Q4Vqbq4XwGPwFzAT0pVSgznnSWjg0/BgJNGtFyMMMiCMCL6D 86fEU5parLK8+NHxviK1eGt77ePO2drZTMuNyShKUGhEaXmR7GQCAEtMIRbg pYr6gouLg2vzZmR+lte3/N2LcDuQCBlg48Kv9Giwk1ow6TGBcA9NfRBM+c0v gpIkpEuID0O8nxLYD0M8SCmU/YMDVFRQdXvN9az4mnJ8cgTgKKjvwGhPqpQl zI7kplKehj1OV6cz09kzUNpWF6LagBbdxTkAVHv7u+BrYZnCh/GUKcTzMyji ovjG9krXj3HMcQ62Lq0vnkEi2H9/OK9/sSCzQlYi7B5qA2ty6+2lTOziErD9 24RI4OUKQ3qBOZuSgvdhPWOmheFifVD8N8GQrQ5ADu5ovlcQ5A7vAU4eBJMQ T4EAji8m2suf8ypeztncXN3eXq+t0QJGydlmhXBRlcpmLSgryzXD8RvVaolS mQI23K6uhm/S+n1jQy7AVKmrK3U4ympqDJ2ddYBHOz7adw6MhsaketLQ/hwv gIhAo0Dl0Xzvu2iw0AgIQAJQUJQVU2Ypkii4EQn0idlFldU6Ov1ZYRdC4VdW 5zNzYqiCYGoSBqAjXAwUPelaHpUgZYTGBwCMBPoQgKUkGWsX9lX8+fZmF1ce Qx/wBZeSt8P9rZ3VQmPRP7xxDzA00C0+VDqKHYPlxrCToizmbKNJ8UkhktEo 1+ulOr3MWJqdJk+wOqpdsHn3xvZ2nfM61ta3RNf/NIsHaM/RxflhdbVmcADK cdPZaS8tVTQ1WUH99/Z25ubGP35UfYuNEIuBMj3B8ejAXuPD8fXl+EZJee0D TqQrEK9hlanu11cRaDIvVcbLVERmyLmwV3JUtJAVwZcgAbt+3JAhTwakWG3T uVFxd7G+cKpfxDMd7UN9U9NsvnknUtipcmf/sOtGd80uTLCTQ6uboZAU0/Pj pLgAva2ALcR/TY4D5MndA+PV1fqOtncAqbXJ3OQwbmwMx8pFzt46fbWOKY7V V+lQfLK2UpOqzGztq/PjEMMSOf4cItgfm7tr5fqcrmGH62ItkEcG2+grUnC8 ImV9fWR9pb+10+EXkbSx9S5C+1d0ziWxUKhFAhlTU55HFwQvrsz96R9Be49P T3kZafEZJeArwEJ/eDDWNnYmppfjxbqxuYn/+6kvR1B4sweu18j3Knu7W3CK AePHweIukVIzxEs2NpaGJ4R8gOR92D6CdGZoLDYxnZGpiBLLeAWqlNXVAUVh ws1EHuJsXlZ+vEjKsdgKOWlR9/D+ANW40whEAfcy3iOMdj5Q3T4ORZOF/Jck DJwDCHLhx8UwKxpM2nIlXRTtzQp/QcIAnPMCFigheX8A1kLzyBPjbYRYJhIM 1pMeWuOw+LHCHsJubvdw/lxJfEgsE0ApbCw7oygDwCeVQVZTb2ppry6zl5zD 6aM/7qWr+X+wsr5YbMoSZLGSFdyt7fkPktUiA5Sar8NGJj/CMh9gCC9JgY8g tzUaEuzoDSX4PmSqTbsVEOFDi7M6Kl/T3HzYwdmGLHRUkL3FPjw9UtVW7fpL axnAJLGUw0ghAXoSq4hrG2ifmJs4vBEnBJk5tS3l0VK6pcGQXBATwH0dEuuH j/WlCIL5qWHrW7B/5feL7vKxU+r/XuVyxcGhfq7ttQ6Ojk5ODs/gSHQr65sd A6O7+1/lz/XjqumCJudhuADlQXuEeGCBPR1s9IiT+3v2OdEefix/MBvvQg4C xKBIT2wMDJAU3LHx7o52GxK5uqe7ttJebLHk2ys1FRUqS1mB2ZxrMue2tVWt fW+F7CfL8tJMf3+r0ZhTohI3Nhr3367KtGX3gyjkRBoh1i8oMhAT7R7I8XtF xDzEkNAMfgDHHxXpJsmJLlFnFquktQ3movLsb3pdXa2hqCQ1iO/uxXjqz3mJ jfEGMMmf+5qXGpaYxQLAiZ9J9WW/KChJWVyYcv07ANIHBdl24CUGTVJ2qowq iOOkJtwKgITSDzGUFyFh7iTOrUBqEJtmMmWVlxdpdZkfYyQNHLlRq83s6qwI iaFJShSzS/PHJyc33/LNdbu4yDfr2wf6wNpp7unc2dsDxOfk9Ozw+Hh7a313 FzFxP9vf311cnP6wWS7X5uby9GTf8voSW8J8CTYdGB15QJo1j+DoIJaI7OyD kBvCzSFcycTMCiMmVpYbmZkTlZjGjREJAOgVZ3HjUxmvgnlzS5vfUXb9uSYj T+8fH6EII92p+Ps4X44kjiTkVzpMR8dHH7OHEQkSe5MT+e/h0f7u/vby2jwt EUNNQPePdvWNdBBj/LTledES0hX3+ucAaXlp3Nlqam81NztM8PZtbmosDYll lBhzX5MwE3NdB4ezlnpjvEKUVpx5dra0uDIINtPXFDwmmvYoBNU/1grQcc9I E8BOlS1V2BhGlCypb6zTWK1d2xhxuXZPT1ca2/u+UI2Pq+S6gvQzCxO0xCBT VUlGYfzO7tYlff2zCVZiM/8fd3wtVVDI8ceBbBQ1WVtZ/io4tr6lLylP/h+P CSk5qvG56enF+a+s1TdVfn5utLFO035DIvfJo73F0u20iXJjX1LfXIN5b5ZP spQNKXkVUQnpDEEGMyM7UpoXm/5RAMN0eWRKBrOsQhkvjf84xQ/iSQpFNPrw YuD1zdBXfEBta01rV50bBXMP7weOuzj/fwS4ofhUAHRfknAvybinYUFoPhmC 7lcKODcq4cWVx+V9fAA+hpFvyL0d7J1ekHJ2elhRo+sdaKusNewf7CGJ5L6m TMwMW+v0X75HrrPcDiS60Xzd6F73MUQoaHYQERcX7k5DA3T0EEv7bw+cQm+S 6aW/B9+SlyrGZsdxcfi/FjId2bsHhjuNZflWR3mW/hNbAzLcTV11gAsGvDA5 Mehqx/TCRnsBmBTMd69qLjs8PvzulORrgvb8Dy9I/VfWt/jpecE84eLK+sLK qqGqAbDqPrTYhZW1k9PTLI1ZW1H3c4yjbhbE8mRybiY4ygcX4434p18riT44 sDEeXnTUHRT1DQkD6dciva6sa55JCmLGBls72isAy4kIkbq76mprdLU1mppq dUuTubuzemysp729GnFG+0Hl5OR4dXWhw1lZX6stL8sHb19cnHJBKa2XbXaN vbqgolJJT8Gj+O7B0R5PQ0JSMkWyXMkTAl6s4AFopDNk8ITxKlvdysrs+vqH odq/YPt0enqyubmir1QWmLNySjO8GE/QfHdcrK/aJNcYZFnFwsYma2JeZEWT GUl59uN64OIq/c0X6nx9J1JiZXn/9Al7iCV7U8h/oCj3r8LP3kGTwScgREJZ Wm21WqPJuI5Idg2Q7JUACefSElm+HKInIwwbQyfEc5HH/jXzV0SMKtUq7+P9 wxIjwTPLGmtIybGBfJquqvyTjboxTJd2aO1tNk4a7Sls0eEBoyM32AYJMOlZ Jakbq7MXN1w2EEmgtdosEFNTM5lJ6TETM6sV1eqs/ESVPlOhzN3ZPbwBYX5c ufRVPz07Wd1YFeYm9wx13nzp5OTgFqJlgy/yJLmAngAsCr44+5qyVeKJ2XF+ Kp6ZhIkSR1Q3WSjxqCKjjCcKbb/y1f3SuxEatTSVrywos5bW10G68u4OW1uL 2ZcV/jwiGGyOAPBk6RRoPsWDHkqIY7lcWweHcyxJXFgiJ6UwgxAPrqwtr4/G K1JCE9h3cb5g37TUl+7sLWnsanJyZH2HfWMbkseeX2k2v6FrEH/MpanVjaXN 7fWvseho6Go1VzUnKuR3UJjHAZxck/ZlKPG/n5AfBBFw/ISX6Dg3fNRvbyj/ eE72oTEpohhpYXm0JLfO2fr1tfrTsr29BujeR9FOPpYjQZ9d7TZ2Gu3FFaR3 ZwDe0y8qlZqpiMJGongiMkBKIinnpo3cNUACYF5RmJinkgAY8zgU9X4ksUCq kB8IJxB5ejPd4fvnDwkBQxPDs8uLMm1hrlFDTYnlpSeIi3OaOmqVpsJ7OH8A gxHXtg8kUU/gv78gQXphAJJL7arOnsbySs303Gft5z9ZLpCoEje15B9t/cgc nl6c5ko59zCBT0Ixz8KD7wWTYZ6d/AhHwcdRPWngHBIieVH543OTftyAp8Tn Q1NDC6sLgNH4y6v47Oz0etZdvD+BLy1qZoYBzYfIfox3eJz/x7snuE5Oxi6u IlkO/zeW/HzfgqjPVjbWQuMF/+WOex7CekpgPMJSfveP+NU3DM0VMFKygvnC 3/2Jv/mHjE5DHPHPNNhG3uUcGEVxMbBp8Sd83j+QID0IJgfyLu2RIL1blBcq 0oMsDK6oVnW2296teljPDqWzbDLV1qhrajQNDeaenqb19aUf0ZBLFnh51m5X NTZaGusNCOPW1lI+MtTW0wXIVClgh9Py+Ci+G+JiJsuLM5Yq3oQzuUkJer00 XymKSkngpaZbK7QmU861z7jrz5b5B78enxxVt1kLLXI0321vf7el2dbaUnF4 sAeW58HxnyRh/FfKx1knvlRt+Oa3e/sZJaX/9AkFQOgRlvoET777oekjAEhk XzozRynQa2UN9brGRn17ezkcTiFLpUofH2kYHW0CO+ZdLOTN9CwiiJISX93a 2Nbfg2gsvqkJsMB1f29/Q5AnvY/3AxjpDZUAMNLvaE9RUc7F+e7Z6Sac7v7c 9R4uumqQ69IFfnph+gXp5UvK6zd0j1dUN/DpzfbxYfuC3YchZiGE7uLGH8Hn xubyyHhfd19LHWzGs7Q8qzUqdnd3zs6+W/zYr+uBd/VyQXGHtkenZw8O9ocm Z2vrSmdmRo6OTw6PoCqJCrR/9yLML0OMuc5uj84QctJSSXEUSjwmLpNqqzdQ 41EKTSo/LTxPJ94/2P3TrQG5oblzRF5Q1OW09DhtBZosrSkPxSXdxfk9IAQE R9FekLAPQgLDEjhgY9JX6+aWB50DDXv7MwALJBdIAHwannQCKAXutzeXpRZl AFyUZ8qHjJEIgWBvfR6Bb+vv/Ux7v3MfsjOS/vs1+o4P+QUp+JYn6Xd34v3A sHu+1N/dKB60CACZ/vaM8ttr5i03Bj+J50Ok/K9HEX97HvYfTzDJWYbvUrFL S6qpAUeD7jq/9ueOpiZjT0dFRqHgGfkVmKsAIL2kuoHPZCkbACRhTrQoi5v+ +UQekuzINCk7Vy0J5FFeXNn5Q0ZHYcHPw1FVtRqyMPIezu8ZbCB0Exo9uQpZ /4aMXd9cuVH5M0Qt3zPQJC2R3vRT+yDcPaLFowj57rSQ2xjfuKyk04NPGMB/ U3+OTw2uXBk/vwdF4EUxMDHwMOxReBL5eSj9j0AKYol0F+bmDFWNHEnm/WDS 7QBiSIwI3Ky2a3w4fuNzX/K1+fryOWAPKFK0jIHoDjDRXvgYn6CPN9BoT1/2 izg5e3n9E8ki/39bEAQCkPkDLKQevRdEvoMiI6P5AOw+AcRffENvB5J+8cUx 01IQP7Kf33EAHjPSiIFcPz92gBsZ8zl0hI3x8KajHuPDgyI90XwwEzwCuZCn fGiCpyfdQ1aQ3tlW1vw+uwSHhawEuAVJZ/ajC6TNPDtrabHXVKsQ20hQgaZG A4BGzjZba7utvCKfISIEcF9L8+IqynLxPDY9HsCk7AJlaqm5KD4jo7nJaLfl j8Dh6G/KJY6PDzfWF4+OPqsPvdaoIl+PT45pKXhLjWZ//213j+N7tvGdXcYn ytL6kqnerKvWD09BBiolFarNnU9oiBCMUe/s+rvXu4gid9Gf8pkNptxBE0Oj Q7JzowcH68/Pd0ZGGkpKxOVluTqdTFdeVNloekXBPb0S1wOY9A//NzJNDuiD 8/Nvs0iHAyWtzyz2vqYARhiNSO8B9QbPVBiKjbWmr3nI6NRAU1etSJna2O2g CkNDE/CeDHdUFLqypRLw5t2jPX9KnZBf9/bfflPlv1dB+Oijk5O1ze0is92L zAlixwSyBc0tld1d9VGZBQ0dEMaQqkz/5Y4F52mF+tWNuePjZXxUfFisoL23 IiGTYqwqoSWi0/JiI8URlHjUCpTWxwXA1RfEekird3YPlJqSykpdUnbKkzAU MYEdyCV50EMM1bqd3dnOIUdQFI2SEhUURY1XiJ4TgwnxzIWVgdOzzebumjsY 35mF3vQSGQDM4mLpSxIWHUlR21SNnVVx8uQ/sL5PgkiPCMGWxtqNjfWR0YGj 429z7fmAc/9cufSD63bexwY+9OU+JYQ+CCbces287UG95RP62yvG/QDigwDa yyCKV3i4F4EhzeW7Y1m/vWb84c58iuLdRWGdsB/lv8zmQ1WdGO9udpQitOgL ByCbPR12YU7M44gXXixvgJHICYQYMRWJNVFdr5blxnwuPDUCkERSjqlcUVFV RE5g3CcEIoowsHBi09hlFYXezAgkbwiCdW8GuvdlQz+lFMpdl4ENIQv/S8a5 v+tZOJoriftA3HT99QkkRELdJ0DKNXpKJHi4Ow0/Byu+vxUAIPfv7u3oLblJ EppSmzE40rn9fkQUJC8bIK2dQ519Y2MvQjl30KQr2kV+jKN7kKJ+9w//zT/k fjDlTQRvemHp8PhwfftdcuQfUi4gO+20wjg0/zIE8SfQEaxuw8f6+rKeNXbW uK40d//zy/Wi+0GKD+SxzT3df6DC78PCQDB2929w6GB7uoOiviSSpxdnjo9P /y0mSYCntrfYEnMjX0X4vwwP+8DzPRi2zQ7k+gCA5Mf282X5w8MNfvJG8/19 mF6vwrG+dOb8/MzczGBzo+Ha/wUgk/GxrvfzF/wMhWlPdx1MlCxXNYHclnu6 asD53FR/97BTlM0pN+fHZzCjxCxjqbxAKS5WZ3d2OXo6bFAk8KYq15Xm5VK8 sLHU0W5rcpTuvZ+P43MFkWNMzI7WNpqvrv25vcSfls/NUmQCD04OAnSUa857 Tn6JisLwM9nVLVZfbsDs8uzHf0Ge4+xreRAcegdNe4Ql37uBjh5A8WmvpihE fGje1AhBJnlhftTl2m9rsxSXiJtbrGp9NiCPL953DYZzgAbEypMNNdqTE8TN /OsbDnoOsJ9vm3pq7uP9r8Nxg89fUe5u1JDK1gZBXlaJreymOcHYWHdldcnM wsTWzkZ5rZadjCfF+stVyYWlmeK86GQ5195ozNBkDoz11nXUL20suz5FvS/h 7f8AhT4ymisbW4GseH965Msw9u1AojctuqGxvMJWGBqbqrZBRteGqjpVua5z oDNaKt/amXe5tujJaYwU0eJKT1h0aFgMlS3E0gWhdAEuShw2MD5krGmKkuYX mOyuL2k/YV7gaGdmbs6fR3tICHhACCTEswDIERVlTMz3WupLeZmJ/5fbk+pW 69CkMySeFSbg6Co1gIQk5aUBNNvWV+fPIb0kYQC+BXMjS6cIS+SATdOXQYsW J1VXGcJjuDQhv6rGlF+UrTLVLS6vfX/Ce3FxfHocmyX7zT38tgf9tjv9XkD4 bU/KXQ8GikL1CacxY3jPUTR+SjgjKThBQotOivQMjfAKi/jNnQyoX4Y2f3px 4Xvx+CcnR8ODrY1wcu1rinRT6QZdby3vaC3TmuWPwp6QksOzDOn+HL9MRZT0 ytwoTcYVfz5x6vWRlsXNkPPjxCx3Khb2VgsM4ETI82OVBtlrKgGgIACNknLT SEm8e/gAAF8fhaJ9mOGstJhHIQFLa++tC+Tk8OggKJIGHgVufnLDeOkxjLXA A91pBHISD+AiooDT0VNfUW96SQouLocsiL5Vw44ErxifGhSm0+HkblGCNEpT a8XW9vrE9JDGKDeU5bc6IRNrxG6wtXfoDZH3AEO99u4HGOkOivS7f4REqYtI kITEpC6srN1szg8qyAS21mqxXLcr290PoRE4UHw3gKAiYv2QHIj/m2rZEPYN RtDvudD+5R5G/ri6ue7NoP6BDv9UAAfarUB8hko9Nb/kRoxs7IRkF2c3kh/9 hIK8qKbdeisw8DURi491h1LbQ0o0j6BIL1yMuycN7UbGAOAEJ75HfL7AcHsF RweQE4lPCTySQOqCp8rQYNs1x1Rfo0KSLv002yqkIYuLE9eeI+8bAFggeU5X o0EvyykWxqYzTaVyjVaaVyQxWEqcbeX1tZoKu2pidu5mnUETWpqMDbWahYXv I6f9y+1aXZlZXZ7cPdh7u/8WFpVBttDXuIsvi4zPTSCnUF5R3rgzvdEcD6Ei Ep8Quru/u769vrD6nlwXad349EAwJxjPj/CnE/9AQaAIHHfRlN/8ibcDSXcB zQlCrpD/0x3PSYo9Oty4OF9rqNeqtdJgPlWcJ35BxN60eUBIKKClPqwISkrk 2dn6teP/15Uz8HyXa0dZroRDH7/jWwGJBscDgv8/A9zSVVmnUHhzqFtmpgfb m80qvURplJZa8+AQgthoCSks2kckZytKktRlueC5U+M9U+O9Nzvzz1VO/wZR LvxeBJPvvH2KZ95Dk5/g6YBKuIUzqXGxErnYncj2Y8anFZUqDZqx0cbzi7WT 48WL8xWXa52YkBwakzi70PkUT6QnsQUyEj0RSnLETyUkZgvJSVKAsgQ5UB7A s7PP4sBrHK+vtt3H+z2PwIBReEXG3cH6phal9411lTUYE3JSV9ZH3u4vWOqN vwR6TMx1tfTU3sH6kZL54hLZbQyUrRjgW3wsc2F5ACCrh4TA7MKs9mYoL1tL s6Wjrby12dTeWparVJVoCxdmvzao/td34MbO1usI0i+vqLfdGbfc6Lfcab+6 k0KYHFEmLyqZzYrjocnUyFQcQ4CXZHPwDFZENN43nHzHP/xRmH9Td5fruwaQ 3N3dHBxobm8tb2qECCOgSL3dtU6oExDIZGltsXR3VPYNd2qq9PPLgGBe5JUq kiT0m95qX3kAHCVVRPoy8GhOqDsFJy3OzCtKyCoWPyNiXkQEY6JpK0sDAoUI jJEnIwwAWp1N1dpZnWdUf9IDHVCJ0ATuTVYFUbB6McMB1kLmRrY2x5Meaq4r 39uaOt5byFZnlzX8FU8xBDBAIZ6kHESTCD4zc2IUhUngE0FNVXUGgNmu+URG SvavviEPMOT3TAICIgpMFXp7vaocQVM/nOVBMMPy6rwoh4+J9IC0bFfQCIn6 Ep6ICop0pybjAVvh7HOsb31DNpBPvO7nooK55ZmN7bXd/bcdg60fSL2gr/9y XRBZ5fzy6rMQOpJc7wOAdDeI9DSE/DyE/QTPTMop2t1d/zl53m8WKAQN5Gp3 nihXPcJRPKh+gVxvP7YPJhoMMUC/7i8jcO7UQEy0G+LahgbDnYQhC/C4aKK9 Sjk0OrgGmNi5kZbm8tpafUOdDqCR6ipVS0vFt1qh/MsNgXp7fX3hSoJkgjRr zeauzmpnq7W2VtvaUqFSiaurSmpqtQYDlAXebM6tg5NpNtbrASv39u2G68Yk nJrqA1iroU47Odl//YqvnKLfD+JeIOSrpaPGXKNXGHMLy5VrS5MLC+9827d3 twkJofh4gh8vEImdQk4ITs6N8eejwK+aSq1Ml+X6UK4LpSorNkmp8V4vQrC3 A6mAHbsdCO3I8eliPzr/IYb4AEP53Z/0JoKXX2q1VhtdFwfHR0t6Uw5LFAP4 RxSf+vQTeTGgRFf38P6SEtn5+cbZ6crXu/nD/bWrspXcxwV8/GTEWSY2O7mt rxG5f39/Z6Df4eyoqqtVNzboW5tMBku2KJtDSwySFcSBKyUm2c7ezsxkn7lM 7nBWfUqsfXHj899cLuAICaAPdnb3hiamX4Sy/0CRYAke+QmO9hhH5SUlvAln AlrxAMugxcU6GnVb2+MQOoJy6q2m5ucVGg0AID0PCesabFaackIjAzgpBHYy lhSLC+YJPSgxTFHm8cllmpXPxRVBsMH8yvJzeBwBzim2Fr8iY6UaORz6eA/A N6oouqbNxs1ISMxN7RhsvB3sA0aHJOS/oeKfhKJh6xd0Ur6YJorKNeYDgFRu L16a7+5wQmlHWprNba2WmhpDE+QrV9rX13qdW/Yv9tun/lugt//Hw7A/PJgA IP3hQX/sTxdJ+cxYTnIGD01ik2PCWMnBMWmkpAwGJR7HFobGpEQFksh5hvzP PfBfLEODLTMzQ5MTvYDbmp8bBXgJgCU4emTVwvzY0Xuh3V2Do13JGYyMdwCJ dxW59D0tG4Sg5J+ASQnpbEosERtF7+yqyC2Mz1SKbwX7cCVxywv9q8vD2Gja A0LgSxLOixEGAFJTl+OT3YgY+2Vr8+8AxAvH5gKfd3H+kRnxM3NjLEnyPZzv GzKeKoqLlqVwM1P3duaXFgfB88/P/jzo2ccFefvUzEjGzSAGcNYz0PwMRRQ4 9OZcJDsJkuMsTVn0R5DPQ+w7cTccf4b6T5+Q5m6IXJ+efpx84YcU5C2d/c3+ zGf+3FcADmFh/7XQOH9crC9JiAHH5s76X3z4jVB1N1/3owuMQi809kKiIIiS gsdHeze026XaVJlW1N7fXN9uj8pidI92LsyOWWu0AEH9NTEI8q+B8anHeNK9 INKN2FbvHbcCItyIfK44XZiTsr46dnS0t7W1Pjs79vPlFdMLa1HSaDQvABcT EBz1BgOb3z8PDcVFY0LifYMiIVSMj/MtKk4xWAtHJkabGkrranWgJ0eH263l +Wp1utGoABipqlLV09P0c0yPrsvlRHXaERNxULHWVrvNWgiQD2I33gAFG9QA Km025QB0ZDTKmxqNgJsDzF17m3V1ZfbsKjAvWIJjox2AgoG/DA21I+Nw8u8I 84iU9ZXp1Lw4vpTPTmeTRbSR4TZAcl3np/qaUrEqXWXXPA5/yhASroPLMYW4 iEQcLYmwsDJHSaXJS3Mm5ievQ5HAGxIsldpYVlnkWeqSu2jag+CIJ7hwdnLa SF9VVbWGk0wuUGfj+cyRKURJB62XucVpdyruD4wv2DEfvS87ugmQfkN7FVqK 4PiQa66L9a/BSAgr0dbXEMAlBfDIT8I/dFh+HIqKyU4OS+Rk6YpdV0oxFxRu bsNQnlsP+VOXO1vLbRUFcmVit9MuVyYkypj1DYaudluJXtLcBSVT29/b2dpc Bv9eXZ39EXHbvkspNNtfhnEAQLpOqXAXTbmDpjzGUsEVdxIvmJfwjED3IjFV OgUch3P15HihpqX65HR5arbtMRbfM9yeriz2p6H4qVB+K0YSnhxP8WcmuoX7 t3ZXbGzvFVkqP/NyZPJfHB8fVjRZn0UEPQ5Dp6tkVoeZnR5PT41u72/NUGWB oc8zFtzF+uWZCuhpMWA+vCRBap3HUE4uaKQ86CG+bGKkLClMwAU7rLlSA7q8 w2m9KdGFZCld1kxFtqwIit30NYZhXy7IFOobHi2vcYjzTLfcIm57MPzCmKlS fqKYJ5Ly4lO5cSKeXziVK8KBBSLMZEaKwmiJwVEiCjOJnpoVRYiKGIIzAn9X DQjsnHgKkY63O5utzZajo4O3OxsT4z1gFe/CmRmRBp5BcbmgOTk02p2SwczK i8+APNR4mYpoRKgCTm5GQMrMifnYbFucxZflRsemMjTlSos1V5YTlZYv+pu/ e76pZGdzyuGsCU/kIJbVr8g4dxrhHj6AJY4bnR697sCbySbWN9eg9NMhgQhG AuP7KCRwaNQ5MjV2D+f/ioSlpyU293R4s4hj0xP7e2vHR/t/bVkhw3twuF+s zYDCYGZHfgAFRVK2Upu+tvHOx4cu5jwnvn5DDXgSgr8LJxZ5jA+7gw7zosXu Hx79ZCMfMHxvd7eVFnlVm7XAKEVxX+NjvEOjvAE0Wlid24FjqZ1fnH+rROtj 1Prdc5d84dXO9hqNLjMrP54rgjKGZwKOm/0iiOeWls3npoT4c19bbAVZebEp +dGaykK5Pv0vxBy4jB/V3vQ4BA348c8BpPvQQf2bF7bEUrS80D03222x5NXW loLJ9jMxElJbW1NpvimTKIgI5OABQJLlx4VERir10sRsBugTTLRnRDyhSJk6 PTOyvblQU1VcU2vY3d1ubbHMzAzb7SV9fS2D/c1TUwMOR/kSHGv0Z8F4qPJT 08M11SpAfitsyvp6s8GQVVVZfK39R3KLA3SkgdGRo8EAfoLCN7VZZ6YHuzur t2FP6tPTk+GhFnBnfZ22q6sOsSnq7nZ0dzcC4oZEAv85ZWFhbHTYOb84FSeP 8ef6JcmjUPzAsKSI7q6a9mZTWV2pO9MHHxMUK2XjovwZAiwSRAXN82MLcbgo P7YorLC8yIvlxclgJxck5Vvy7S32T76ooLQcz+cYLPnq0pLOdmt1jVqcw6up LS4qlbgu2UkIUx3s78r1xSmFMgBUHhACnsLxDJ98FHrlUQgKE0NXVahGpjsu zjcvzr9O0QbFzl3J0uUg0YA/EB8BQg1QGSy7qNp6iwRvhEZ8aXVeUSKEcoch o9xi7umwV1QWZRXGNTbo2lss1dUlzc3m7e01vb3I2W4HVwb6HVBGMEBtlibB yfzsCNiqDuGYzDd5+Z9WLs3CDw5Lqx1VLR2PsPRbAcQPEk7BoiToeISlPiXQ 76DJ//SNYAkSjo/AEls/Pp6vbave25/b3ZtodNZsbM1IigrVVl2pXUqKBTAp jJuCex3BQLNwohwGSyR8FsJ1dPbu7iNulddeQlDZfnuQnG1Y25gG+7m53kiI Z7ElcRq7OjSB7UYjPAwJADsjtMOGosAm682Cgicj9rqIW9PTq1SnblR8ImyY dCvYu7zRsrs1Vlerfc+Dw2Hq6bTGpkh8wpPEuaaPOdAP/L4/LodHx1yxomtw 1HUZ0etif38/RRGJYwZjaazoZI4nnhUp4CXLKIJ0uiQrSpbLC2OzQ8BHCiZK FCFIpzGSMBxhGHQkh2dk85MVSWNzsIb9x7jXHRzs9vc1ftDSm5Y/p6cQqenq a04QETWlWdn5CalSTk5RUnZBojQnpm/QKc2F0r/C6qdoKFdg9if82gBGSpfz m5sNhWqRKIPV1GwU5QptdaZERervQZ78TCGKT30EO+yDEQTD9wfG5wUxeGJ2 ynXDtGBrZ1OmLVxcnmpor0qQpwDc+zQc7cMK/y3IS5AD5YCIU2T83f91oQVw x674nExBXpbrCufc1GJ/pY0Kco+1SpOczvikbhE0ViBGsrmBlbKrsqvheAge bjTvxwQCQEfPwnAeDO97QcQX4eRaZz24ram32dHd5PrpFtFVDvMb0t1EBVdS GG+pN1w28K+Kqc112onZkesOjMykFZUprlxxf+zGurGxWlFRbNDLTEYF2ElT s/mllpzqymK9TlZUkqYzZucWpEty4mpbKiNF5KpmKAzLt+q/EDm2c2AAgJ/b gWTYqOxz+fWot9E4cWH67ubo+GhzY0Pp/gEcRf/nCpEuoIzJECOj0JW9DA+l pgQXqzOpidHlFUWs1JCgSA9/zouwaIJeJ9/cXJkY66y0F7W2Vk5P9jka9AA5 VFaqa2sNk5MDP7POSMVdkJv/nMWsAGgHoKOKihKDIbvKrrwO1IZgIZNJodFm mE0K2CTAAgchsQxBQZxsK8uQ/wXgncEG2tpS1lCnbW+rRPLqjox0lZUVbG+v 2+3qqiqN64ejPohcADDW6bT3dVSk5Sc+Ib4I5AXGSrleLG9w0tJsslUqsZGB GL4fnL0Iw0mBchj5c30Deb4cOC824JFDY1GBkSiWkECIDuCmhhPiMOUO28np 6dbbravXXJrbzUz1gya3tFhr64wAIBkscoVSYLbmFhmztrdWP2jsKeT2KLiP 939BxIBN8zpY3AeWSP/p/VJfjSTZ/JNVc3GZj/K8d7T7Dsb7MRzg92PZFOSP TAFsb+jKxjrSR4BUpuVFWysKOtuRrPGm9paymhqVziQFX51tEB5urNd3dVVL CuKkhXHtreWIY2Nfb/3QYMulk2ODfmigGTxwarJveKjV9dMtzZDdIcdg/Zsn /k0E749A0oNPJCu/1iMgTs2XRhdKtfxodwwQs/r2muPjRQCWEEVYfqmua6Cz 0lGoskjTC+Mo8agnOBKGG8YTBaFZGMCpPcYxltfeKZSRz5Pj3egUOZaesLE+ cnQ0N7fY1zXYCGBjQ0flA3wALpZBT4uFc8ZhkFF+/CkpIhJ+Bx/HCOCS7mD9 0JHU3b2Zvt7qro4KcLwnRIIcuMyGUiWRLzk+OXVdyTY/tpcbmx4rKJVe34DM qNbewf/zWUBqocF1FflzcnaMLggWZNBzCqMTxXy/CGqsmMhIwiam0wBsAOfE aAIzCawO6Ao/JZQpxEanRYAFIpJxAPZYWZ0fG+/9cfafYK0hoiT4+TdQxPuQ bGxiwFatBVxn35ATTvmabrIWygsFK6sLiDQpMZVsrVKbbUpRJpRlPkP+LsPy 9ZGSwQJQSiRlq/TprvPj06NNe2N5SELkb2hPRNB3DWgB6wHFzSZiatsg5fXh 4W6J1YjmU1+Rgg0VJXUtVhQUFN0/WprY0lGltaryDHn9o71zs30viVgw1pvb W0vrq/WdbUhz/pr7J0KFHK0VQgntk9EMwMU0GWdiegjcJlFJHoY+dmcgQTW9 wPGSDMU7uhOEe4glvaS4RQiJhprSwCi0c9D5M9ERYr28sbXW1tt4nQTnL1ll QJMc7ESzs2OstHClWrK/vzsw0NbQbsfH+YfE+O7u7fwp+/CvFOTJYAaWleXD +cGzC5TJOoNieaG/p7u2rc3qaLIClFKgVisKcy02fWOjbW6mp73f8ZUVguNI HEK5rs7fArZgdnEyW1PsSeH95hdxTdw+stam/oGOwMewjJWahbmuDqf96Ojo 9PToJwMkF2zDCT5laktonGBmcdxSVpQgzSyzFWCiPLwYT4vKc0wVOp1OBtBC b3etzVrQ3l49NNBUW6Oy21VWq9JmK56bG7/WgPyUAnXR5uaq0ZgzMtzpcFjg 3GHZlXbltZ025FXnKC2z5IGaWyy5zVCMpms3NwtARxvrUPbSo6P9vt6G9jZb Y4O+qalsY2OltdXe1dUA0NH6+hI4N5vk29uXKRd/dKvGx7oA7MzXpofE419R 3fx5AWRh+AvK6/DEkM42a7FeTE0IYiRBKbBZQggRsSFlCpacEAxBJiGOl4LH RgWguL68FAIhJhDcg4lGJeXF01IiEvOTXO9WwebC/OjgQHPTpQeiqctZUagR leglRdpURbGgv7v2AFIxnyESVITgNHQ6+VJBVFYKVRQF+MrHcKSUmy7AL0hY KC1mpmh2aeH9/e4q2+rF2cUFeOzxjZxirqHJiUx14XNYMPX0faEE4iJ3B+tL E8Vd3Q/A/LGpSqU1Sq8AkrmuTlNmzYMDFJchaQHtlUXRYlK0OAJAZWTQEaiM eFwi5zvb6ysrM+B+gKCQmfAzMRLUq2dntGTZb37hn4238L40Cfn8A0X2IjKS ZeKhMaezz3F0BGq+enqyeHGx1eBs6B/tHp92bO2M1bToQiP9UcwIchyem4Kj C0J+8w/3oMQgaccRpv8cEl+cTE92a/X55jINQOCLsx1VrdbgKKqpziTISwPb qDuN4M8h3QryRkzokUQVLz4FZRFN6zNIOuFrqtW7XPsTY82HBzOjI47GesPV 0oOsBDvaLK1Nhr6Bro9NogDZrHRAfqBgziTIeDk66XVEcWR0uJKcf3iHGKts h0e7Cm3m8vpKZ19TeLQ3MzEiWcpixDEioiETLDDzwYrgi+CU8dBXKGV8TBoR yo4KLxx+CjFJTKtpNA+NdgvTGds7mz95AiBlcm5xYnYRMUJGkjZOTA0J0ihd vc0VNTqVXra8Mo+ghdKy/Jm5sRK9FJYmRWXnJ2Tc0L4BLJEq4yg16Vn58ZIs Xp5GprLbSsrUW5uQdkZnU/uxw65DPiIGY/hYJj2Fb6gyHxzuscXxv6E9HhAC IhI5aD4F5oPA0IeAAU0rTF9c6EtXZg4NO85P9/onxgUKUc9QN1J/MDqgnsby glqHZf9gF0lNOzk97OxucHY17MBM2ed6Fbne2GIrUKVCUrLsD2MaZCiihOn0 ngEIhmVoMu+HPPRm+yKZWTyZXs/Jz/JMSo44/WnEa0+21yvKGze6R0FZYWpx GuDm+sb6r2TOP3tM/3I2ARdkTLtUos3kSyJMRunkxIDZnIuN9Azku0kUUfry vNOLHwj8kAqA/a6kJA3spFBiKb201JhnsVlmpzsX53uWFnrBMTPVMTzctDjf /XZzTKpMlunEX6NDPDzYBjTK5VqBzQNWziHPZcCprU7O9eboDPeCKYA9hGMi fUD3qI/wYbcxPqkFktYWc0OjZX1tcn62a2N9+suv+74FQTWLC5M6s2Z8duni 7ESlkaUqciprVNn6NEFe5PHp8cR4n04v29xYdraVm00KAJD6emoBGgEACRxg HNfWfuoWg7wIwJiRke6VlXmtNgOAXpMpp65WVwawkAPCQo4GQ3lZfkO9vq5G A9lj3wjdBrZFAJBOTgAg3Qe4FBBw8JfaGt3S0mxlpQrMELVaMj090tlZZyvP nZ666XTzoxp4eLi/vDQ92NdYVa0CFOA1zR2sd1+OH4BGjyOeJ2Txutpt/DRS MB/KUx8eh0YQESI1AhgJhkzQQUrAIHgpIi4I/ERJxNASg/xZbjVOyFX85Phw bXVueKh1eLC1q7OqBXb9g0JXtdtyigXGMrlcmaAzSp2t5eAGpSlrdGrAdTVD AAt/cPiWkZbAy0x8RcYBKvo0Ihh8PoIzQAGS+zgM5cchBUcxDDUVrive6uzK gPPifOv8DKyOJYBJofYeHZ5cWX8VWkofEgJeQakz0c9uICVIHUDEvCRhJCVZ vaND1+OuLs+11+m62iHRBKhqPeJS3WxB8iaDtkhyI2kJaHul0gmLj256WCMn zjYrHAUC+ktXR9XO9trbK8uQn1MQeYhMbf6bJ+ERhvY8hAU5dHweIMEmSVAs tfsY6ptw5m3/cLpQBAASLEFaPT+HCM7wZPfoVI/LtX12uuS6WDJV5oTw0TwR wAN4pgAbxKE0d/Vc9yEypmAyAJAMqaEvF4V1dKyFJYr8BQVtl7oqzeR8X6Y6 OzFXDFAxFJ+KgoP1nrhPAiQwcGAXBuB5/2CxZ7i5ra/u4mK1p7uqsx0AVyib CTzfyqwV5qWl+fPzy4mxvrV6dHzY0dcETopKpXpbwfLaorFKR4wJeBFKLa1u 2tpZ24ETGla3dN8LCiHFhcRl0OrbrI8wOJW1ylSZB2Y4K/ly/nNS3q0FTjKB dblGsLyUUG5KCEuI/IpnCwmJ6TRrlSavOAXswjma1Om5n2H/ec04DE3O6Kvq 46Wqvz0PTy8qTc+zHB1DAKmnryU2OXx2flJrkjta7XPzE6B6oJLHx0eARAAg YbDkAWgETm6mIMmQAyzBGBjuWFyeXVqeKbLo/+H/6leUhzeLqKqwHOxvT073 s9JikYBIzy4jGqElyoy3GxMsccLtYO+XRCwcBwAFJWKD3RjBaN7F+ZXV6nc2 p9dWRlq7GkyVuqnJ3vxioTQnpq2zbnfvrd6cI8pkKQoFtmptb3+r2pDVO9Ce XZCYksEC9YQc0L4o9ECCbHR0N6ZK2UhzbigQIchXqBYDlAUYrKmFqWh57Avy K0+mNzieEp8nFST3jw+gY1Bv6O7gykvKa04mFxeHB9dLa43oqOCl9U/H9/hB wwqRu2/fHZaWZvb2dkAd+/tbe/qaBwfbiJyYEGa0IDXZYFEUqyVQrs8Y7+y8 OLkmdeft5o9uTltbpU4nNRigpAlGY5YiN5XIS56YcC7Mdc3NdIID4BOAjjZW +wXpuThWvOsCcgD5Yq2gn97uLB/uT8HmqSvIcXG+cnq2vLc7vX+wwU6T/b9u mD+CcFBKYiwJHIhhEiB3d7FBpCTu0EBdpb14aKB+frZjYa4bwK0f2gkfNgAm lR2ddZ0dNS6YZhapslKy0udn+q5/BYioplo7Pzfa7DAAgNTWau/urLRXFNls yvLyIqNRsfPvYMGQulVWalQqMUBHjqZyo1F+bZpSVVnS2GBohdQutrGRjus4 AHC8Jn1vT/3W1mqn015dWexo0FfYCmdmxlqarRqNRK+X2mzFLS226kolIAiX 73JdjI92Li//lZBof9YKOFLB/KijQdvYWFqoS3eD062+oXsE8ALQkahnpFf8 dIbFVuDL8UWwEzYqgHsFkD442MmQWOlyX0jCckUhpeasEpN8YxtSUY2MdjU7 SsHR010H6Z6uso0DfA5ARV2dRmuUVlUXt7dYnO02nTk7VyceGIWcoC/z3l64 ekb6JKrMv/u94WYkBUcxqSkxvMwUwH4m5sm8mOG9Y8NIRsWLS89ccOw7umpG pjrBxu1y7c0t9WWoFU3d7dgY1tAk5JS3urnBSIsN5JGRtOAPCIGvKXjEv5id FudBD30cFvQL2osijDw9PUboLeBbZ6YHwM7e0WYts+a1wGNqKlM0OUrBXl9b q07OZlvKc/uhNlo/k/fBcpldHY5r2ttdC77u7+18x2H9ckEAUnFZFVUoVVlr UnPkt/zDH3wUEuRSaoQmvwih+1E5v/kTAaDKzE2fnO6YnOvvH3WenADAuYrQ nNPTpePjhYuLzbHpHkayKLM4lRqPuYINBEZiYHWz0XXD5qR3cKS1xdp2I0FY XZ0OzSV6M0LB5ojiUw4PF4cmneY6A/iTIE9MiGNiYuhgb30AZZB/P9UXjI48 6CF/YHzNdaUu104Aj1RsKwGw7fh4Tq1XJaVJmhym/t76vb3tg8MrzAzPfG15 XlZJUqKM6eioTpZz69qq2cmhLGEQjhfyB4pW3dKUouAkSJkjk31kgcyDiCPH oXJ1onhZ8r0genJOgkiRGC+LfobBURMItERsKB8CQkwh9oN1AQASIju6wk74 1CxuciZHksVNzKBTYgMqavSubzeo+AsF0awJs7T/+TzkcQDvl1fkFxh+MC3t 8PgordBgrrKqDZnLK/Mleuns/AQAPAkiUnklFKthaKTbZC0cHOkCcEKWFyfJ uoyYpChMApApPZu/eiNnwcD4MCGeC3iWW0GegXw6IZ7nzQz/YLxeEDHpSik+ lgmN5rtIkvA9EUEATRkqVIsL/V199c3O6mcRWGoyr6pGmZzBBGCsSCNRaiTJ 6XRQh/wSESLaKqsolhcKwIm9Vo8oQL+MGS6uYkUCIJSSwchURIPmIArEDEWU OItboEo9vDIRFOQLn5FeeLK8AQ18Q3PHxOK8WD7Pya+uErVAF19R3wTHYAGF 7B+/Gfj3f26pqdHV1xkdjRa1JjO/KE2tyXiNZj3yYXIE4iJNWpEqNSTWLyw+ QKVO15Zml5cX7u29/WG6YOixYB8HO6leB6UjN5vkOfmSe160NHnh1trAzDSE jmZnOteWezNziyhR4p2NkbJqZW07FEXwIx+H903Nz47OT99RKuQ4P1s62J89 PJzvHe5QGApSCrM9qfRf/IN/9Y0AAAkQwwcY+j1sMFHAnp3uAK8G0Ghxvneg v35t9WcL/MHb2turAAWDtp6ZYYMxv9SiWlmCncphlqezoxrsp0ODLQBaADjk aDS3t1rsdiUASABqgi49Otq/VrL/pBrD/bO2tqiDcqpKBwedVmtRfe17mSIR OdLOzsbS4iRigATn2i7t7qxeXZkF6KjSXtTkMJaX5ff3t/X1NNRWl5hMitJS ORy7QDM81DY+3jc7O7q7u9nf19jSBHmj/Ii2nJ6dNbXbdWZ5hCAsNB4PeCLE Mc0LpgbI2g/kBfhx/VFRaDe6O6AJITGBiN3RJw92Mh6w1eJcvrWiAIpPVaft 6HWsLk/bq4oBBoNVURA8aGuGtJAIhChQpwBsCZ03XTkcdVRmF8W39UJWCtdq clCE+RkBPOrS2urCytzu3kJ8TuatIK+2/h6AjhCFyLXdprAgq8SmipQmvqHi 00uy+kY7EnJTf0N73sF6oyNpp6eXhty2pipwgycj7A+sH0BKjW3lcfIUZhJb a8z3ZYal5oi4KTytVXsGhUK6ZEgnxrudrWWgenkqYWebTVYQW1FZBIa+o7Vc qU0zWuQDvQ1dHVVfyKt+U5zoaNAND7bCtiI/laKegHJ6trO9YjAXP8NTn+Lp H+va7gdTbgWQUAxeeGSUG5Fnqirb2hwFwGNvf/biBrWBiI9rFZIdudb09rL/ dCe8DiNwU3BcUSgTgsp4YoxfemHCNVU52H9bV2tGfBauuwIsaoOlAPQ5wDmY aHquMZ+dHqe2qzuHHK/IOJWtBECgu1i/1KIMUjL/OlrOcyLmNsYnOiupuFx5 O8inuLy4otnyK8qTl5Hocm0Nj/cHkFKSpcqVlakbNO3SGgfM/KxiITHal58G KC5RVizmpjLpiWiuiPAYSyALsk1VxQxBUKYyPiZTWNVcdSuA6Ekma63ZzwlE FCeOl0p9giXj+KxbbnRWPJ0t5HIFsXwR/mOAxIakRpfrhZGEjROTESVOujwK oMdECQ3w7weH+z/axmNxZQPDSItLV71AR//6kvr7G9ptd8Zvr2gPAphxmcV/ 9wiNywCo0rW2sZGZE7u3t7O0MgfwxugE2O4vegfaO3ubOnscQgmtWJcJQFFW frw0N9ZoLZDlxgEsAaDv/uEBLTVBX20DCJyTnvyShHlDJQCoA0l630/Z9pqC c6OGADbkFRn7ccRsxIeULY6NEHDdaQSwPH8P9o6RCXIKIelQrjIJ1Opm/CKR lA2gkTQnBnw1gn18f/d6lD/XFTAPBR2AaKhLs7p6mwDSy85PSJNxhBI6QEoJ qSSVXobImTO10kfhTzyv6KEHw+s11Q1hJJErl6o3lvcz4sv6TigX4dfk7/v3 FtDw2lqDVifV69IZUfGB4XyzJV+Wr5QXFo+OtA4ONlbZi4UyNk2IM5bKDXqZ wZBVVlbQ3/8DbSa3tzdqaks12kyzMUck50SJ2I99WLGi9KX5bgBRoGMGkiDV NlQuzHYZraZf3TC1bTWuT0c+PHddbLguoJlwdnoAqw9WbgKkC0juvfZ2dwY+ eXtwsC1RZmSrC2iCtHvoiN/8wn8PiPhvr+A8ff7m6uAsDM/AMTbi2Nr8+QDJ 1eQo6+upm5oa1mgyGhrMfT01a2uXCa/BOLa1WKHdx1nRWA8ZI9XWaAA5LS8v sNmKNZp0cPKTwx+53iltl9VqydTU4PHxUZMDiaF9zRGX1dWol5dnVldmAK67 jPDvMAJcNDne3d5mrbQrmx0miyWnsdHS39sAmtbcaLSYcyvtJVfqGAsA7QP9 LZ3OigprXnt79Q8y5tw72AtLDHtBef2K6gbYH7DS0ZEoAIRurn2AkXw4viEJ hDc0KNcYmg+5rTFvKNfYEF7CMgQYRhLEIJPjA4t0ab2dVbDxVdne/o6zzQra 3gzFr0O2RUtLs8lxeW4ur8gHnQPwkgM21EF0VSpDeluvA5CahfmxHTisB1gI i6urewcIWwf2ty1KSnxrX9elcQsUXOsMkEdhQXZTd4c3K+KXQHdPRqgXM+wO xvdJGOpRCOo5bODtyQjvHx+FxUEnDFGUrCC1odlEjqPpzbkbqwO1tVqTUd7o MOsNclNp1lB/FRyNx+W6Wolbm0uyoviUbBaoZ3puJEB3TjiwQ0ODDsA8J2R6 VAYg8VcCpO7OqrNLcvqzWc6xsV61Ki2nQALQ0VM4ROT9G/5rCED6PYCE4USG 8yPTC3IAww1mPWC7VtfHAHm5OIeE1QApHRzMg5Pj48XltRGqMN0jAkcXhNIS sYLsWEEWIy6DLpRzJAVxSPqt8wtXu9PR02Hp7rC2fJRoHmxwfgCXKjMTckT/ 5fMa7JUtvbWtfXUyrRzAnuAo2tR8jz+X+PBKtQprV9H1HfbgaBrk7xYe5M0K B7++JuNGZyY2t3cBKrjR4msHOiS8wGmilMpIgidtCkGQFclMAqAOR4kP/W/P UHFRMS+VUNmodPY57I7K5i4HJUnc1FnNEPJ+9Q2bmu+31llJiaLe4a5mZ7Mg XRbEZorkXKYA8z40ugZIN8RHMijTmbIkLTmLyxHiAcCQ5sVV1b0nYfu+BUGD EVzZ/3M/5JeXFIDobrvToZiW8HHbg/7PV+S/PyehqamNnb0lZfbu3gYAHpZX 5+qbLlM2IxGBGpptJfrM/GJRrjIZnNgBK9ds05rkPf0tSOVb+7oxMWx/Llmh L0rKTQeY9ulHmWrvEwLu4vyRWKxgpJ7Axn5I5O2bgsG7OD/E9gwAZo4kXm+S AfRSXVsyOFiXmRP9vkE1ou+LVOmlALZZKoq/0A8fXzw4PDg6PmpsrXC0Vlgr 1VV1pYVqcUt71SYs927sasTE4lBRQQjb+OUD0MnByaH/+bIjFzxYZ6dHIrna N4QjkGQrikqGh5p3NgZXl/vmZrpWFjqjk0QkPkeujDbo5Tq9VK/PUqvFYLf9 EeFKEPnG9u5WlkZUohInZ3HC4n2TMxJikpLHRhoX5q4A0mzX3GzX+gpUw2eB bAIv8QjOFPlBh7/dRQLirZydLZ+cADK1fHqy8B5DB47zlTPIMAn8unR+frS7 u7Ew69zdnhkbbtFaSnK1ygKDssSkHRlpBZAMvA569UzHxvrUz5fD7OxsVtqL Z2cGhoY6CgqSHI4yAAl2dyGt2dLSTG9vU3ubrb21HGCkhjodgLKA8QTbismU AwASwCcABm9vr/18S1cXnMl9bg6SdM3ODF55qF1699dUl4DmrCxPNTXob5oe DQ+2tLdaqypLwO5ZXp5fasiGPZtKwX/rajXgOrJNNMOSpc6Omu7OyqpKZV2d CQnx9CMaCOBla6s1syjJk+1DEUak5cVTU4gvqW/e8UdML0izFoslxOFe09xg Vw53ZnIYTxSOYCSAjogxfuK8aEtdKTEeDS5GpUXY7IWgHwAc6u2pW7oKNo58 wn0FoSODJQvJDAWgBcAV9koloqO8tHauUhrLFG3tdgCutj+KB3tpm/TuwuHu 7jQxkZeqlPmwwh7gAxBPGcQ9/NoNCtlVPRlhAETBjmxnWxtDZpMCzCuLSV5a mlVdo9YBrsqQpdNlArje3W2/gAIrnfb1O9bX5pA3GasBquA728pT5RyAjrqu kiY3w9W+0hta/jQl1rXl8OzM8Hcf1i+NOKyCnBjvt1eUVFVpiorFCWLBy1D6 yxDGIyztNz9iECuSGCv4xTccgKXbKAqKzlar0yvsStgeexXAoaWVEYCUIOYL Eh/tWOttaxvjKrNErpa6EeNQDHxkGkDLIUJFUrFJVlaj0ZbnAU4HYF3EIyNX XUHixEcKJGXlmg44o2KTw9jRWlZmKw7ik9E8Etg031DxkhKZrlLT1ld3dDTv RiX8M8C9vMGUbyp4FIp+TcGBzfQNBX872LuswWhvLvsd7QW7N16mgHejhSyv r32u+eDz7d5efHZxeCwPACQY3oMjODQKh2JFPAgKpgmlKktutIS0tTOisWrn l4a0NrPLtTk5N/BPbwI3LRPA5KPjxc3tyem5wcnZ/vv+7Pv+YWxhCGJxFCsm gVXASSYglkjX9kjQkYxLzmSKs3gFShG4zk0mJEioyel0o7Xgx8U9Q5rME+X9 7TnxjifrGhpdH394MH59RX2Di3uO4zKT5a4bgT1vLrrT05P1jWVZXlyRRmKv NXT2OHbebr699FGFbjs+3Hy7vagsL/Wgh7L+P/Leur2NZF30/T737/s895yz 19p7wUAygUlmwnYSMzMLTTKjbBlkW2YSWmQxywJLsiwzM8vMbN3qbluRIclA kr3n3no6SqsttYq66ldvvUDKxBanu/rQeAbtnfnF5aeg4Uhq4PDEx7yKD30Y 5uuJi4rIwkMR3FxMJECDAjpCEdPAOFBaldLVJapnN8TnoMk1hJJrfgZSyqpT qxtzwTl4XV1fPjo6vLhKLpUAvW5s7pydn29u71U2i0y2EcSY8UZJQTGdF7f3 dkpoZe/xkPbRp+kIfOBZ7Is6PuT8s3e8778dkz6bgbXVGbZAYDSpBwYN6zB1 zE5bYWmJbX7G7B+b9sIf39hcxuNSWKxKMEKCgVEgaNzd3fzi8jFkMB8Ys9U0 5BApSb4pr8MzvRissvFh7eJ87+KcDeRqDqYjkMmFue6+fr1SIwvCJrFkkNuH G8uK8cmeo8NpyMAWYqHls9NFAEgOh/3CRXx0fraE6Gzv7kzt728eH+9vbswP D1tGh3WrywPrK/0b9gH7Ys/CFZiBOpmb7rKvjH3Zgv+WpFJxhII6AEg2W0dL C7FDy+3pVpycQDzQ32+WSqmAl8A8AgGSpo3DoSCW1FxujUjUQqWSDEbJxETP 6LD52+ccSVOTfXpoewjRLYHskgDqKJWs2elBg47jsoMg7O/TWi1SlZIJiAii Iw4FAAOyx6TVsBB/SmZY+MDn1+o6eFaLWCGnymR0ZCv8Kz1xYDTo79GMDBoE Kna7qL7LJApKCwRE5AQk2GrjFaE8MZeS+jz+tUeip3eyT0BaICovNI0UnVgY DhbIaSWxU3Oj+t7OuBxoBd3EKOq2QGrMoAYG+nWAkZCqgPjB2A4Ka7PKNVpW ZWOm+YoiABYKJQ2AfgF4gLYG161msVJJFUsaAELsHyBi80tFU+SJWFtbGhvr OznZ6bHJFxa6OzSs6ubiAEICmEzd0RE3XAG4mIT7hmcnG3u7YT/SJ4eHczJZ C5NJZjKhvW9w0tYGaQmC0WBwQA2bsR8O9HcEYlAhBGIFjY8tLCHVpJqM/IIq XD2t0GoSu26qIqranQbnCXwRauWPSZPAXzlDA4aZqQHXYfmrJtCPOLJWrqRZ qW+fmBiob8zlcqt84tLTiWnusRgARaic3IQ8YnxukScqBVVQ0jdoAH1Vo2Ei cum9/VnrgOn8YhUMOJvbU9u7cwIVb3l1iEAKb+bWvo7J9EaHJRUGJhZGyPXC Smr+3v7O7pWGFdKHp2aXidXcqOQqUkVFj1UMuoRGw+3pEgvE1Mdh3g/CvGGO DcQUZ8QXEvLqSYYeVSABFZGNX9sar2TWBBBQT+GZNCwTB86PjhZwJZkPQ71/ jQHIFOqfEgcmXHdM5NYuZAB+h78juP9kVjX9r1fBb2JikoihlxYH+eHx2Qn/ 9IwKTctfWRtbsg8fHi71DJk6LKrTU/vqBlgKbU7NDzwISOgf6bq42IBrA4yx G9Us+vdecS9CwLMA7aAB/imqTIKs1YqiEDpKvNqPhhTziBF5ZRjYzC0S3nEL JhRFgdm/si4T1NLM3NgXx6RLMNjaeRmddM8z/p4b9sc3NwEJkSl9/xrad/uv F9FaS6/jlvPzS89vsyMASOicKtBdzz7EKIQ+ebC3sbE+ubw0fH64VFBP/ofP G+fGGXLyPBYSB5GpVev2Ya6MSSjPTassfBjq8w4T1jtoTKsk/hTi9dwlsu2j MB8cKUujY1fWpuVTcsIy8e4JwSmFqHIXw3zEsA7RPgLktrg8K1Ew9Sb57UYH rwJF58P3+BBsyfOAtL89jf7uJaqBKWOJtEpj997BgcNFj/38KvwW+C+/seCV 64Lx4wdYP9Zy6/KbChPLk5xmIP/TEpKryfkpsYKzsz64OG+bnupCVKBdDzq7 7UVgWiQ+g90GDYzIqMhmV8kkNJvtS8ZDd2apd7gLT4zwwD0LSHubQ8Y0tRLb BA19fYaRkc61lf6FuZ6FORsCSLPTXcsL/agclLZb6bj2jEP32dvbODtduKZ0 5Fg7PJjZ3hpDLl6u7OBjZanfvgK5LZ1fGBsfNdhXRuBfsQ4NdkxNmhfnez4A 0kzXBiRB+nYJrCk7O2VsNkWrZgIKUqu5NFqpTNo6PGg8Pj4ER3d3h1jU1AWb VMNiGRpkxdYpUMHLfDBo02glnUbp+KgVzDXjY92LixMrKzPfJvNIm87Pj3Ua BRaTCJERwUIDIcibSsGANWp4V1ICPkwLXHAdMIBY1MjlVjs1eMEVwAyXaksd bEBHGhUL0JFSThO0N+x80l71iyTQEGBYXloYM+m5ciXdA+/pDo8GXkneYOkE RoZfYl+Qm/Nb2sjgxD/VD1UY+wL1JiTNN6sclUQMSymO2tnfBlmU6IRt/GqR tAnRyYHVsCFivLapBJW3baBPK5G15FVgVGoGYgUGCs5pp4ATmbxVKm9RKKkq FV0gp1a25NhsqpNb8AAeirm5QYW8RSJpBk8ug1FOp5cbOtjplfnQMBt7tzE4 orXyL583L+NCNrYge4SeHiX4LuAigaAeNIqTjni8mk4jb3Ghp69XlVcW542J +rdX7D89wv/pEZFaVFxUndTIIFoh2RFP18FFTBfBa5dF0mWRmgDxdrCtXfJO COaZvT2q3h7Nx3fcLo3Qj46+utNI2AHnubpTTCiJobZXt7bXrK8tEck4nVFS 29KcQYyPIEQWVRB90an/z6uIHEpNVFpWfB4JLKNnZm0HB9OOCztAAsBFEen5 GrMGTInDkzZrv5Er588vDaSXRLYrmb6JxR4JYYA6pDr+6NRAaWPmxzIDVvGD o+NWM7+Z1sjgsBUyGlfYhi0pfI+LBjPjgxCve0Gev0YHTM33OBw76KL0sCzc 3sEsePsiDtonTSHnghOZUehwrPumxD8K930Y7ptdmYsvSnsa6ReemTS/tAiJ GO96cE5OTkua2x4GYnww4SlFkBQ0NjM0LitybsFUQWtchORjq6eQStX6zu4M fLIK61mtrm1O1LGZUD3Aep7gA2MzvZIOGVsuQeVikouC04pjymvSsksTkgrC UoiRiIa206IBEq4WxxCKowEXIdJX8JpfjoVFHzkMdhWTWw2rGn5ZQwzIdOHo +ARfRPmXR8RDf9R9T9RtQEKOB+/w/3gWx5XBDg/PrrElMg3pTbKymrRO2KbG cd3rzubmiqZTvG4fGxzurGFQ3iSEIX6rkG010KZOUwhAR45Tez2n6V9+bkHp uKmZwY2tNd8UtNOH9jPYC5knPrrDKEwpwkekxz+PDXkY5u2Hj3iLCs0vT3Iy EuT6G3LxnQZOWLwaSmMOu73+AF5Rgprs6e/c3FpDMint6PrPX6O/e4365/P4 715BNfA0IMknPv8/fon6j18jxBrLjSIj+7Bg5MGU4F4mvP4MIGHegQ+EZoV7 Jnr7EQLG4Z2F/0ZAAkP69kdsY5F27LAq3CLDjSbtylLP7JUKtJOOAISsLPYC TqhrpcnkHCqjhM4sAwMjk1VRUZ85NQsRxRcsHaJlzZS1uKOfFDVl5ZSjxaIW oawJm5kVgs6PTipUdcj6+zt6+3QgV+Njpq21AYOx4+cAD7G+zXELkOYWhk6O Zz+YrTnsR4dzoCwrS32OGxttFysQSl2sr9pnAR2trowCDBse1AwOGrqtivFR 3ciwDmYkG7g+MW4c6Dd+k4AIF87NNQajDEApwj8SSSuTRZZLW2amB+bnRkeG zf19BsBOyMLcYhJKJc1CQUOXWQQgCjQWACQ6vcRsVvTaVPpL3RXuPGww+816 5snJ0crKrAFWNgbTYl9vB49XB/IJZkYDvHcG4AeRJ3Ro2e3tdeDKzMyQSNTs Gt8WUuGGQ0mCD7dDdMQEZVQpGRxu9RpsLvq1E1JbU1P9FmM7S1APnvfn8S8B JgWlByGq2i8SXjN4lPKmvMdRv2BJmNjC+GdxL36NfRmeGRiZ7l1JL7UvT3V3 yY2wL6Auk8hVWb3TcNOSC2BkT7eCySXHZ/txBdXg8yZIhsCsbc0DX8yvxOaQ 0Rmlcfj8kNnFqf2DvbOza2JwwHLz8+MDA1qhsKG7W2oxCwHbwPahVQxmeXBK 3E+hPrCs/iYjQTHHw319UxJYMoF3Uny7RuGAvH2OcThVOh1HoaBBm2tXayVw DohLLGlqY1USKxNfRkU+DET/HIJ+HIz+0TfKF4sGzdrbJZIruVIFt8cqAT2w 2yoHlA6VV8+TK1p1Oq7Z2L68OIkEw3LWg8nQfqNCAEQNwq4jv01q5VPQOQEF 1cn1rBLboAmV7VfPqKhszCOSsajs8PzSLP8EvFcMOqU4j9JEqWG0bu9Mj0FW pRsACS4uoMVXQHJ2UHLO0fFaPYdlHTA182j5lLT4LG+RmhWSRv4lxCe7AuOA nKAezS/P3H4eL1xG18X5EcCgSv0Anc1bnB87v4A2v0R6DUvG7h7S6WxKiY6X SSkEk+yDUJ+ChpL8epI7JgJVlKYwicEEuroxylO2ucWHAC4CVKxQsdiCRomM 1qHlCoW06dk7Ij4jRnzGnsEXUcn4QlxKUXBocuSLyPiYDN8OcxvsUA7SWzg/ X4ZlRHZEvRN2n7K6uT21cql/Bb09P18dn+mzr08MjJis3bJEIragDIfJSEos CMflRwD+SSZGJEF2bXebM0D7cUWRAJBKKCmZxWiehHb6dbTRkHm/VSC/7xf7 PBIPeQn2gIRFH9AIVkm6747914v4f76Im56Dhp0b/r0vl/kD5rHJAacU1/VP mzvbHrjo6BxceCbWJyk2uTTrHWyT+DMcczYyO/F+iBc4fxLhl1dD3Fgdl2jb A1Pj1zbXt/d2QzOTHoR6wd7MfBDZ7y9wdJJ36PDHEX6PIwBoBcBw5R9GiCbX pCFmdC4x4yBMIpbjxAomkqWBoa6K2oza5oKrHUBHRlnL/3kSCQgQFPOeG/be O/S996h/v0x46IH/r2ex0SkVNyoNmbVHZkZ9U/1fo9ycStqQjgH2retbJKCA Z5I3eA3NCkujpDcKmhz/TYCECPo0epFaJzo+Ob5Buc5czS1PBhECKK3VS/N9 /f36pYUe+1LfNW2fGevivA2x3qI05YPxsLG1KDY3ICLLR2Jod/7QF8zz6MwQ R0kHJ709+hX7AniESyuIr4Lwv3hj6xpIxLLiQFR+SXU9R8Dr6+vo6dGklGRs bN9QvYAlmQewBOnC7jTqX17sW10ZgDbabgESeIoP9qc21md3tu2r9rHhYZNO J+zr1U1NdC4vTUxNds1OWybHOxdmu8EVlYp1cLD3pUr96SoB/0aGLYL2esgc Hp4mhMLGtrYqQESL8+P9vZqx0S5btwoOc8azWqSAGYSCepm0BZCSXNoKKEKj ZvF5NUajpLtLZoQ9MYLXg/3tubkJq1UD1/k3ckMx2K8HwDM91S+V0gXtdYhQ CByIThESmhbSx9awNtaXhgbN+uv2O84NGq2aBQ4LpMnMbWNXLixMOiAH7MvT 08NfyYTNWQQHJJnc3NlaVZqV6RVJPDU3oRjjneTtBT/1HkleKjWzjlEKAInY UuyfFhiaHabu0vSN9aZT0tu17eNDnRDKXiHf5zWTLdJmZlFKcbRCCeayNqtJ TGeXAS7SatsAGqWSYqLTPRvaym5sdoN8Hh7uKxRMgC6w/WAljVYqEjZoNCwA nwjYyOS0urZaL3wMxEjXtUMRL76Pw33HZ/s2d1bmV5a3t9cFgoYem1Sv59AZ 5U46csqToRgxHEppTcaT0OgHV4F7HgUl3PdPqGmpaaQ3xGblt7ZRmDxqj00F 7jY82Lm0NDkyZOrrN0xM9i4tTc/Oj8HWi1xEOc1sFOjg3UZYlxsiZ1u3cmjA sLHxdUn4ckmyuzU80cuVtsRl+mDzglKLo0gN6fi84JLafFJNbkkVPi4rLDQ5 NBgXk1WYklWaotG1m2zquaVhjlwEvg2PJ+tnZ0vBhDy3mCihmvNzCC6NXMVT iFt51dU04tB4r7jDllqanVtJOD37zFLrcwuZYzDlgp+TGYVZlfmRmdgnkQH/ 8HEjM6oBHQUQUOB4GOZT3VbLVbZpu6TtckZORa7NIu6CK9nc2d5EbdZboDA9 t7aKkC2GxcHx6b5hMybX/5ewOB9MbEKWl0RLXdsYta/2rm5MdEEGOxsQFzkt 9S7sc0tDsDcDaFwdHzMoVYzT4/mZxeGo9Gw6u6mwKjO9IDkYG4ctCIlMD0kq DE3MD8XlBycWhLlaNLgAUmhyIYRPuWWorLLMzd09x9eZVREPFfaNrVaB4j/f hv3bK/JxEOqRJx5hpB8AHb1PePAOB2jhVXBGK0d9eHSMfO33/ASUhieHwzPx 94I9H4ZC8iIkZN6jcF9CWVanWVTLqg1KQ/8c4X8vyMOfgOUruBtrUzOzfeHZ yeDKe1w0+Ep8foo7Otypfg974f5g4PY0KjAhB1ValVRSddPxdREZL5TR+sDo apIpNFxSZXJ+KXp+cQrkStXBHxjuicws/+FdPBJQ2GVjEQuOfzyPS8xvIJDr F1ZWnWWBe+fF5s5mk6ApJCsMsV9DNLED0oO8kn1uqG0jdm3YUjxgp6o2CuSI 6Rsu1V3T/MJob7/S1itfWx89PV0/Pz+6kQ2E/axDxvexYQnpxSRK4/Jij0gm HB8zLcKMNDttXZjvGRkxKJQsq0WUVY6qbynIIMVF5PhtbK991SChSFbtK3NN rUUpJRH4HEIrvVGlbskqzE7Lyy0uy/eISjd1g6F1bGt3865vX6xtLJ0czzkB CRxgSX252HGasEEnkO0tWPSt2UcRudDZ2cnx8fHJycne7tr+AXTzrc35zY35 5cVh+/LI0uLg/v5Xd8ZydnqCuHw5Pzs1GYUyKRS5DEwcPd0KoaCB3VYJphKw DAcXwbrbCpOPQccZHbFYu6R8PmCMtk49Xw65D4JUtdv5dWpVG7IHh+xwOaA4 HbaGhtypKci53/lvDMv1J9Le3hYgtOWlab1eRKOR+LxahZwG8imVtBggX4IC BOQAPwA6mpoa6EBcC8LHDZa4ui7QqOgAihywv24+v761lQimWsc3WZJsba2C agcnAhU7LDMYrJXeYN5mV6X2d8trmeW/xD7Pqs0OzgydXrx0KLq2vbZ3uL+z vQaV5Rb1fQyQrGYxnVNeRS3sssgksmbwVqig0vkUkbgemxeMzgnA5gbpuiAJ z9mteRbyN24UMpnlDAaZw66C1YfIyO4YQJrxMf3CQjeOlAGJ9F022h6HQ3ZP TyL9ymiNdohGICH8zs7WxHiXTgft7YLv3gCkNlglCbRjM6PhYWD8HT6C/MHF uJ+DI99EJ66ubzhzi8R3AGliZkggqusyCUHNAO5Vqxm0trJCSpLZ2C4HZNjB 0arpw0OmGwX8KlMktOQ/a+FVZpShiuuzMbmBiYVhycSIguokUNsNDJJA2ppR FI3OC43JCopLi0vKSU0tis6rwsblpGKI5WyZ8Ph4eXFlZNE+AnplQFJuVAaW 1FDwLi78Rx9/CkvscInwYuxW1TDKHJ9HoKuMuXwMOZ9dWCVSaEvLo/29Svti j6lL8g4dDpovOhsfmBIPEBfMnveDPbGkjL39maODWbDKA+smZNEB6/9zVSpO fSuj0zrw6focGu/2Roc9j8QnEqMAybRwyUW1SRubg2y5eHYBwNU6WH4idLS1 M31wMLe5PQW74V07PZlv59dQW0lj450UJuNZGLqa3uIeneAdhY1KjQpJDsfm heWWohroxYSSGMCihOJoyEXSdUxKKgzHFYQkEcMT80OaWRVfqt0/+Ip3QRzk onVwLLemlUzjusUSnvkTENWjR174XwOT//405v5b7PD47I0v3ki3o71/+BMC 4ZuzDEHzO0zkTyHezrXJg1Dv+OwEJquYya2k0CoisvABqfEsQbMDDqz2D5/X 3olxr+NDSc1VWVUFYGnzM+wBwGlbcaVPCGApuKgml8kug6VG1wCpjEKoaykE 1wvLcaTKpPwSlL4TGsfECmYrs6RrYLBdYyiqafvH83hARK6M9N0r1Kvg9FdR KcRGpuN62ZBKsw3bfol5BuDnHc7jNdotKCMEANIb2M4XsBA4wCB56QEA8iDn Dq48CHtUwapyfJMR2zWBZ/D0dPf0dB7upRvw1vDyzFzfycn1lSZcyqPjQ1Ov BfTIyETi8qItHF84NGRcWuiZnbFurQ1arUpBezNYHmaWJjyPudcqqtV2KXtG uv5w3j4/FDicmvUXa+vLiaRovpLZaRAcHu6MTwwIBfVKBY3DqRJJWjevlpO3 7wlG4KXloYuL5csn92p1AxmynUPekPZ2JgEvwWi0uLc7fX62cHa6++kMX3yT GLXIT2ysL4L5FxDs3u4mopYDEAgAxtRkr0TUyOfXOY2YACBZLsmHCzkO6pID QAKLcX0HB7ECAweYFlUKxuXACO3TiVZXl3p69I2N+RaLcm9v22AQfSXLWWc6 PNzb2Vnv7u6A3aRXIcpRYlGTQQfRkUrJ4PFqO7Ss9fVFUCKdloXkVqdtAxx1 Wy8FsKJaSR8dtcF1tSISNTU3F/b0IEpxX7eNkJ65s70+PmYFDbRunyuoz36J egNwSG9o77XKMipTX6PdBR1CHaykB4eUhXjg5Piwv6/j+rbaZyVIEhqnnCFq WFic5LZTzJ3Cg4MdgYJGqkmpaMlt4dcItbzbORwetq7B5orgxzc2hmWyVjhw TxWyI4YgDXiiaW0UD1zkozDfp4isHtY7Cs3EQj5zgjxyask7+/uwFxSoYxwf 70mlLTALVTg1tK+OCg63WiGn5pfn3PePe3RX6OdHQaif/BOehmJnFpccLkgA XoenRyhtVQCElEq60cDnCqqTiBFQuNLCMDwxhqfiLC6MDQ0Y5meGmUr2yDRY xZyfwt6WHFeKxF/2qQTjYXppHCY3GJMbgsg0QH6yyRgwU2OgGTwGzOCYvNDY rOC0orjCckJacTS+MOB9dPT/9WMQUyywr40ZbcZXUThaO+XXcGx0ZiqVT04q 9H8THVLFEDmu9FrBP/BDh39Un+pKo3jPPSyrhd5oMQkMHVyeoKmWVqFWtzUy KT6JMb9C4Yn9nkYGWAc7Aeien8yb71hrCOQyWmen9GNPzdkZlN2p+cUHAQkR mcUxmQlJxLBIgidTWL5kH0snV52d2eFdNkhYBOhIY1La18cdF8tbmyMHBwud VlV0ampFLelFBOZJCCY2Ky+9vOI/3KLeRODrGksiU2Kyy+KIZXixildSlwaY n1iTeluCFJ/lm1oUi84NDE1+R6pL/yIj1Sf6jHNfrHdkAl1YFZ9G+V+PIv7x IvaJbyKhqNk9NJvSCoHun8jGBejA+3sb2k4RU0TFENMQ90ewZ8jAt+jwzDJC VX1WZV16M4PEFzcoVFRzt8afgI7JSx2eGhfr1Cnk/FfxYS/iQgA+JZIyEIXt B6E+r+JCEDnSz+G+nvgYpZZ1IxhcORwzDnAROCfXpueXooUy2unpCYNDqarP Xt9Y3dxa2T84ee5P+NfLeFcXB8jx0Afzg29MdFYJW6ZFJJ8fhEgXFzNLszl1 uW6Yty8TXgdlhgTDxryINAkQEaAjV/Wkt5DNr1tkXvTs0uzp6ek3A6TT0zMw lB0fLx0fzyFbwBeXvXdld3f68PCjvqFwhbmFVYWDA8YwHHFu2mpf6qG1Ueup VKWSVlpNqKjLyKrC1XLIKx9nkk+kK9753T3q5PR4FpYJXC05Tw4O9g4O9ru7 tWCeXYSW559YfB2fIYjospV2cjR/cbE+NW0aGNI7HAfHR/aN9fHjYzAR7N9V LR+781dsTaQ4i4vjCnnzzMzwqn1Oh9h0G3idRsHgAKRuBFbrSEwrq0UyNTWA yIUsJtH21qpBzxMJG2B84mvgON16Hbe9vcHpbg7ZopLLGTqdgEotBkvI5eVZ qZT+VQEJKdTISDeNRkKsIDmcagBycBwKASgOQDhQrqXFCScdGXXcLrN4oN8A SnFjow2sglUKWm8PpCGJuJek00p0OqHjG65ELjs0XGn13Bp8WeK8fWF1dR5A bNegZXxuwrXgyMcBIsJGfIgQ7zNCJGQiM+o42g7O8urCzMJkeWPmAOR35ayO SSqsSRaomE2iVp8Uv6HR7oP9beThQn5ucNDCZJC7uzUjw5a+PoVE0uwEJOem GGgFibiJza3Nqsx3x0TCq05oBRqRgy9oKA1OR//D+xUSOgQp48npoUbNolJL JJLGhflugaDOiUngblxeDYddGZ+F/8E3+lHQHWHLYK9BqKehMakkVN8IpOcJ QY7jones72X8Kx/Mi+LqxPSSmMIqfHIRwI/gJGJ4bKZvNZsCxuHDo4ONrdUa Vrl34nsj3OhIWoMdsHyphERdQRorqxyNzQ9yWp1DQiTYlgqOfxGWXBgB+zMM zy6NJ9ekJYG3haFx6bF/exHYQGfzZDI8sfhlOAqVHfY2noDKy+HJa8NTw37y j+bIIX+et7Ud/kBCGhqMhC2MViqjCelOXSZBt1lkM4tpnFovfPS9oPdRuYTe 0RFQLqO1u7S2WSBkdmi5rn3P1iWwWWVgkPl4tUA/VFBHexGViC2qcY8JJpDC ULlBFS2EqIz0NpkQljGuIYFUekcsDAHrZWRiK6sen5v9Mgr/JAQdTUgLTSZ8 5x2L9Ipn4bjC6qqQJAI+Nys6Pay0Gl9UlZpXlZtKjMgsR+VW4jC5QYg5W+KV QyS1UZxTXZBTnZ3fQNZalH+26q4cYDJkzP3Dg5PTk/3Dm5h6Acvotnb2ltc3 xqYW8Hn1b6MymSLtxtbO/gEUuOH8j44zlzsjq4tN9NL3mIjXCaF5NUWAc57A Zv6Ii+x7Id5lLWSbVVhckVhQhissxwGqaVeJNrah7YyMqhJ/Am58eshokZGa yl7EBgO+ehTum1mVjydlPL30ABCUUpJeVZ95Q4J0ba+tAk9jV27vbLYyy8HH trY31DphRW1qM7f9v9wjH3vhbwLSG8x9D9TPIej/dA9NKa0DpOE62CLjIbGl KKEYHVsYH5IZCkjpHc4DgaJXqDeeid7v8Z6ue23gbW5DfnEraXTmCyszfyKt rc+urPRdWhPcUrNZXx9ZveUJB14jnveMdg1NmhV6TVpR4ebqsLpDWtdSUVKZ T2dX+iS/KqgjrMEuVhxXK6DfmJ8b0uPV1aXhIasDJp/fXihnl3ZemZ0dQ1zr fIJVAFPZV6eXlnvh2lh1XCw5IIESWMDuDA4rDWZoY+L09Pj09+TkGySkmKPD Zn1Hm8Us7rVpENtnsPpTKuh6HR/MU2C1DjvP4fT2qGdnhnSwd2WrRbaxsaJW 0pH9ODhyE9+g4/T3ac1mBYAiJyAB5JBKabB/pBJASv19eq2W/5UK4riaYaem hun0UoiOhE0iUTMs5oIEQWCa5nAooAg93coRqNScyxgTRj4U+GzAcMP0G3xF o6SbOmXg7pMTvYA3xOImUJbx8b7l5bmLb+sqHCkaV9nGkrOQIh9fKUHBUoKb +plDg0Yohki3Qnfl9+kuQy1Iix5SJ7NIem2q2Wlo++Ps7BSgoMEoml+Zz6Gk oIsSPJO8wBLsVcJrGq9qqF+HKF9d1fnZ0KAWNlgrA0hzS+BTSaeX02ilKgW9 srXKHR3+OgFx5OvrmxJXTq+OzEkZnrRK9Ir5lQ+RksDaRCymCoWNe7tL21uT N3fZWJUAkKIJBB9s1vMI9NPQ2Ntxyn4Ojo/NikTleOksCsdVnPfD40PbsLWS XuKT+A52oRnkjFUalx3QJm4qb8pOK4nNrcTGZHilFkeFZoY0CZulnbK8xoKM miyNVcPXtq9vb5ydHjstjv9AOyLfWl6zk+mNMq0Af5cmjHO7Jxn22JBaHJFa FAHmd39U7L23cfjcpIzyAkI+9iePePfooCpaeT2zNKW0JiQFvbm1RBWI/u/n gS3tMsdNQPqTffVidsrWqed0Xu6a8ZG1Ul+3lC9qKWqq397bhUvn6B+ZiUyq wGfka9RsZPUEdzN+ZS2FUFBz+jlkI9bTK2i8+LyK0kYi4kM7JsPfE43f2p5u 4DAnZ7shjYatKbVJtbA8FJJIeBgQ9yAw4Uff2CfBKGxOFhIH/FEQ6p5fnFts UmxG9oOA+Hv+cRmkZEw6Vq1X0XmVqJwAjqwFtDW0rQnpHYVhC6Jj0j0YwnqQ gZHpqfWtLxPd6QLyBnnaPdwdlBkC3ooNklJ6ueOTEiFYx2bH+RYJ0/OH2w48 yzu7W0srs6jC1J9CvH8O93sZF/JL1KUHpF+iA9+jQ9+iwwobyvr6lS2MYlJl MgCY9XVI9IopzonJT9/cXF63jxzszBfUke4FeQJGqmurBUzlFAWD1wZ6WSO1 CHz3Y4BELMcJpNQ2fn1eCcrcrZWrORmFUVIlw2jrbxXIGSL1f76Muu+OcwWk e+/hWKUB8RRm+/EJLPa5MvYHrzwNH1uKA+eVrMoX8a/A6PQ87iVAozdod0wJ Dizl3rg4RYGuY9wfhf9cyaq6MVR+vXR4eDA5ZYR3hJeh/aNLlTknI9kvzhd3 dhY/4b9IbVU0cAqHBwyNrdUsGZVUk2SxqEituYOTfXDL/qY9povrqvsgTUz0 m83yycnBri41m03JryPobOrbH/vY3W5fu3Vy97fW1lfqWgpHxjp3dqbOz7cO DpbOTldmZrtXV8cOb60a/iekS/HRwiTMCZAO8we3ikaIJbSatkt7LshcmtPX qxkdseg72GBK7e3RLC9OSSXNYOKDYplB21LtYCKemujt7dF1aC7lMJD5v4Iu kbTw+XUsVqVMSgN/6royR/3ixUFW5UtLM21tVVxutUDQAGCmHaEjo0AkguhI D0fWgOKOXcXeAkP38tLM4IBep7206zc56UjNVMgZJyfHoyNd4K/gu1xeTbdV I5O2TEz89wT3ce4IIx3yavy8+RkHZJC4trQwsbI8M9Cvu7HXdoWvkNPIsVHr xvpSX4/mSvEEfkzOT029hvCcCK8kn+fxryBdR9gX5fDUELzPdKVQAW+bLyzY QG2Dur2tMgQYtbOTL5dT6bSyVlpZZCYWDM5RuUluqHBPXIy+W39wdHjb1xC4 YrPpdmF9v6mpQcC64OaI+AiWR0Ee0jjsitiMXA80+kVEzIMAFBzXFQUmR0Sm 9DQ0/mVkfFBisLpT4HBZOgFGwpTgIzMDAXtEZQbg8q/8KheGJmT5gXkTmxcM Js2UoohsMsov2etJ9K8Pw38OzgwtZ5ARx+ZCOX10yPjHmw/Oi7HPllNdGJ8V hM4NxxUEfwyQ8PlhaSVhkSmRLwPjE7JDPaNjH3mg//US/cgjOQyXG04I/jk4 7HkQKiE7SK5rs6+vc2WQvcnM4sqv4bhqFlTwLyWqvRorJpwrCDjgHVhAccCz DxZE1i6N6xbk4eHR9PTQ0IAOjBtmIx/WaWwPx+ZVNIk/jZXIn+ZXVhdW1umC mvgs3yRiRHS6r7qT0zdi/ec7P0ufFKw6tRb1+IwN9HGthvkuBns/AGp3SMn5 ukQRCcvyU0DCr2HokMSU99HJQklbKSVZZxDPr8ymFkdnliXEZ/oCNi5ryski o+3rSx+Uhf4cADuudiLG58bhSGEha1trzcKWClal49aKxnFlRej89aOjo+2d TXO35g9k4Cob5weH+/OL0yxeDY3f+Dw26ElkAOK1Ht4mC3ocgfhrDUrIjo8k RLIFNQCQiGR8Z5fKAfvEl3Xqjk9OtjdnV+3j/UO6kDSUW0KYwSwZGja8jAt9 FOoNnuVH4b74ohShjF5R91EJEsJIUMSQMkwjndRALcopjmvj1x5cTYuZJdTv XqN+eou7Jkd6g3ngjb7nF5tYXH18fHKjOTZ3Ng+PDrd2t6LyY+6HPkCRMGRm ZWReNIlaElsQh0iTXia8fof3AGgUUxinMKvMA2aERr7NoH16esri187MmgEj IYB0fDTn6u3H4Vg9OpodHO68/ZAirj+W1xanFsbHpwaxxNA2Jb2wMtG+POf4 nVIjJCG6iHs7W2NjPTxebWtrEZ1RymKRWW2VEemeAJAcd0RP+63ps0/K5ZJw ZW52fuLg8OD4GJaLwuJi0IhfW9/mDyfwBIFZ3mQUdmjaxOImeDtJrL/yrtze Xod4knEik0rJ6NCywUCn72gbGbbMzw4LBXVgbIQUjWDXggAh5udGBwdNuivf y2BelstalRAjNXN5tUoFE/zJ1q395Gblp/N87YvI27297ZmZEeQKokEtFrcI BI0yGV3QXg+VwsAXQeZ4lVfx1xD/SBAIgb8uLU0DhNDCzn/MsHWbQkEDOQfE 2NZW0durHxsFdNQGvsvhVEFBVfS8kSHIB+b/NHngx9LxyaHFJIJtD7mwEyTB qn2up1sJJi/Aq/aVWVCRe1fWB0jlNgqaBTohhU35Jeb5e7wnEirXL8XHNgBp L7s2AZgFpFIaYJg7FarBMTqqOz9fHh7WqBVUcj3pX35vCxrIc8vzO3t7YPh1 zeftLrGwMMlklPN4NcjNGQxIGAVgDHCXSNig7+ryTcy67xf3cwj6YRDmQUCM DxbzNBTzOBj9KAj1nVdsSApqc3vF4TL18LTtSWX4rHJ0UKoXOi8kuTAMcyXA SSwMgw5YoARZgheGB6T6gKktJj+mhFoKauB9ole7nNZvlXZ3yRbtC5u7W2QG GYn5+xs7M/Kx/YNdbEFUSIpHSlH4J8PnhaYUh8ZlRAYnhT0Pjnnogb73Fv2j GxpMIj+8Qf/zecIj7/ifPBJ+eI3/0T0qm5zt8hMX23t7W7t/yvT13GVX15nA rG00CC+fHTg2ja6DK5EJS6ubu2w2eNy+1o7Hx0c722s6g0ohZw7YRIRcYmoR 9bPVhdxlbnECA4v4cAXR2LygkoZUH2wqtjDj7HR+cWWErxKdna1cXKwuLfX6 YVJ+9It7dFdgX4SRwOvTENS/vWODElOaW4ubW4hgomGIG5o5lXlVeMDDaxsr M/PjB4d7zjr8vaOTqy6r8ybgFczgAIqexb54h/fMqs2OyI1MKEYnkVPsG3bH Lb3ry3XNzqatz8gRNABQIVUmW7q16xsrB0f7v8vZC3Kr/kFLVUO2RMkSSqml 9cR3mLCHcLy8n0J83qLDEvJw2NyE2My49GJcTUMGsRxfDImAUpropGFY3xJJ JydHO5vTtezmiOzE2cUZx/nh/OIkuSGfrxS8SQjNKk83mqQVtRnOQGyfYCRw wP6RUosrEq2XOpyO2QU7KqPGH1vw/Ws06Ng/XVm03XPDPvDC/M09RNcNLUXP 7ppGy+hkQEQcNXcJDst7fHKssWoBFwWmB/sRAuKLUE+jn4Vlh3f2df6OtvwS CZF1bW5O2+0DsGNb+8nxwsK8DbxelyMtn51ufrqzgUJRxQ3LawuA3n93t7y4 mJwfE+t4al17HbtMomYzmeXwMpPSxq6CfPIwy9H5waGZXnNfIer6Xzch9bC+ tqhW0kyGdqWChvgysljkUBhTs7ivV9/eXm+8LnPQqFkAJ8D02qFhDQ2Zx8e6 JRBWtXeZJciWDZhwV5Zn+vt0nXquWsXQwqZhiM5zO79WJG5B6AJg2B/y7HTh +i3X4ejo6EAobFpYmNjcsEskVIWiDaIjOUMkaoQ84XRJNRo2FABFybga2CHp kF7HA1fAt/p6tCajoL+vA8ADIEAw8+o62AgiQgb+JqEBikfGkUqpCjnNAiEf dX19ZXYGLJC/nZ+cP5Cc4qDdnQ2tij7QpxsZNgPSAxUCLg4OGEDDzc2OIA7S nQmZnqRG2c9RTz2TvFwsQd76E/x5wvrd7WtIcHZ2PNDfwWZfs8RHZEfgAHU4 NqYHS37EAY/ZqsQVZRh6LK6ZBP9AV0SWFS45v9jcXBUKm/t6daurgwo5lUol KZX04SGtxSxobi5SKZjFDbT//Sbknl/cd17R//YMyijP9kAl/c099J/vwx8E xD8IiAUfdbiocIAlElhCdvYZo/IiU0sTUDn+IQRfQH132Hrnh6QUx0Vlh/sk ++BJ6Le4d4+jfi1vKRjqUTa3kbMpaWHZEeG5UQRyMphVf9d8inxYruUkF4Tg Cy8Vja7kRSGEoqgMUizs2zkkKjXcLTz2wXv0j29RzyNDfg2NAGh03x1zzx2N GDr98AZyvwxOvnuFfRGAX7bbf1tGLu7MMIxDd3zZ9ZMrq5syOddialer2B1a bpeJ36ln1zQ2jE4twc3ounL58HZze9++ugKGBbZQuWT/vIdVZIE8NNEHGii3 EpdXlZRYGBydgXng5zc4puXIRa9jcFNz/VBclYvV3e2xKEL69z5xjz8CSMiB CJGeh2NSC3NEgtru7g4Gl8KRNGeVo7Rm2Wer7Hel8bmJWl5dZk2WzqaPzI1y x74FmO2b6heVHwPmbjcM9JZELW0SNG/vbjsZCWmUnZ1NrqChuimvsi4TimJf k1ZQCoUjbKAWra4tfbbqnLcCr8NjPYPD1v4hSyONVNtSKFe3iZWsTHJ2cW1+ TG5iDaOK2VZSUplcVZdeXk2AfV9f4k0RGU8sx3GFjYsrc1ej7BkcSPoSUTa3 1ianh1bXFsl12QaTpKI2E3Kq2ZT3CTpCAOnKP1IqqSq5lUWWqzkyNQd0u529 /ddhaf/1PPZXv9S/PY3+/jXkMfKHN5h/v4nLq6Xa1zdv91jkysb2xo1S7x/s D0+PcFTcmcUZXY8hMi/658inLAULsrY4/UbBasE8tb0567hYPz1ZgIgIsbjc HJubscKOTC8dR0MaOBdLsOuMu9MflmE6rmpjYWUuMtv3LfpJdhm6piG3mVrM 49Y4bWcYzHIup5rLppQ2ZE4tQoqsX3Xz8c8U5xsnJJ+z04OABCwmkVjUJJE0 WcwiwAAdmjarRbq7uwVg4GM6vQAeZDKaUd+u1/F7bSrY8P/SP/P+/g54C86l kpYOF89CfF6NQsHSatpMkLxdeHBwtxHfR3ILtRoYOqRSms3Wsb3tGukSchXb 12fU60UqBXWg32Cz6QAsaTQ8iaQZklZZZT09WjBlg+IY9dwuKIiYGACPqVPM 4dTMzIxOjtt6bKr19cW+Hg0UV45dJZe19vaoNGrIkzbkehpWtDDoBbZuldkE CcRA1+rQcgBTra4ufPuYvL8rIQ19fHQwNdm3tbW6tDgFoBfeTbuYmx3evObn 5wNFgNfOfpMb9t1L1BsXRUco+ltCfnR/vx4MmB+6+gUAm+3hIQ2dXoboY7M5 FEDXfD7kBAk8fc2tRL6obs0+hQwF57CU+xwOYnv5i+fnoBW6YBOAK1qDbn5y cry3hyhjHOztbQwNdcHDy/7khEUqbTLouYV1tOCUlNjs3Pi8CrZMuLY+m15O yq5uaeSJuwdHJ+YWz2/O2vC6YGudwql5HvsMTcL4EfzjsgMSbwMSLFAKTfNz x71/C/nkfIMvRoFunFWZAljxFdrtNdrtPe794Gi343cuu5APT85O5ZUTskvj 00mxAIoQS3NMXlBacXRWSTysNx4WlhT5yBP1/Wvsj25YMFn8HBz2S1jo/XeI v+UP7gTvu2P//jT23tvY9c0N5/1/41h0Q9zh/OL27u7o9Nzk/KKxZ/BGAUeG zDYLl9LQ8MI/kc7mjo2apyd7XPvPx37iTvr6yFegHjg01ovKCWjmkHH5weSW 3EZ2ZWlD4t7+7MsoNLaQ5HBsnEGdYXN0WBuASbznHw8j8U23Dx/U0gIBIGFe R2GpdMhNhFhMHR/rm5obW15duCr1H7RPRAhn72BvemF6eW0ZTNnJFanv8B6e Sd6EqvRncS8hoyrMW69kn5CssDdw4On3iZ6vUW4eiV6WQcRT9OXTZOnWllQl l1alllEINwQv4HoLo2xra/23tKwTkABW8YRNfYOWtva6/FJ0dWMuT9TQTCuu aczhC2sr6jJIVSk3nBchFmfkGuhAhDy3nyAkSVVtKi2P0pjLETRIFEwo53cR EXKQKpOLyIkuP5FR1ZCTWRjVYRQjd9N1DbAk2rwaqj+m0GQbiUwp//svMcFY 0tXvfqq8zi2n254QhqaGyhnkw6NDx+98Tv9MOj7a392ZuB5Ww761Mbq82Oe4 sJ+dLMJm7PbTk23HBTg+Lyu4IZz87QmsB2cWJ1MrUO/xz+LygkpqCExmBSQ+ aqvkcSmt9JKymgwSJZnCKN6EXHx/wpPE/x/T0IABCeMO5jWlgqbv4PC41ZAy tk29s7OFyFtu0xHiXJrDoQCcUCnogwN6M7R9cxniamF+zNwpgiN3NMGOrNth 0zYOmC4Bw1xZt0HBQOfnfkeMOYT/7faFzk4ZQK+uLtXU1ODa6jy4CaAdubRF o4YUhASChvb2hqFh6/TUoFLeAjhnZKSbw6lWyKjGqwBkWjVjaNAklzNHRiAx 8t7u1v7+dl+vWq2ic9gUNrsSkM/4mA0qDlJk2KYPkBJ4C+gIFBzy+2TkAw60 dSuuSO+v0bHA0gbw5OzskMu1W5IEZMDf3WS218bkRrpay4Ih/Vn864JqwuIC 1HZXczEY4fftK/2gC8Ea2lUcTiWfVyWRtIqltIKKZGxeVGRaaEQy3mJVXlxc 2uwgvzW/PAM/mI7+kS4o2l171dh4j+PWmOzy7vDSgO4cVDu0IbJ/sHN8cuDy 4U+NNvCdLjr7OgEXtYqp8k5pfHYgOjfYGeQdl39NiOSV6OmGgXzNvcd7ypX0 dHIiPN9dVgWuKKG/33BxNaH/xnQJaTvbacVQ+PgSSkoqDEiAx7LLEvLKMcQK fGpReGxmyCOvhHeRMU9943+Ao3T98Ab7wCsWHPfeJbi61PvXy7iY1IrqVvGl I8HP/frB0X4zt1Km47leBK/EBobafLmxsrqx8x6V5YnJfhyUYEA2OK4m8aWl 2aKKunfhmRxJ5+zC+q0Guv5zLmP7b68l5NOk+vSC6uSGttK4TG+NSZJMjOZI qlra+Q/8I/pHrZC/ygv7yenS8dFcu6g5CJ/iFpfqi0u7/5G9tsdBqO99YmPS 0pcWxre27Ldb5A+ny2AfPQbQJSJyIhPLknxT/EEPATgUUxAHQOhye5oQ4Jno 5XRjCBjp19jnhU1EZO4GacW+UF6TRqq8e6MKkvDUpB39/omeK2rKK0E10UhI ZDQiGQ+IiFSJnNyhMoSEUWO319E5VUbYtuhOYSNoza3t9drmApmKPThsLShF F1UkIjlHXkFZiiuSSPBPgHvWNuUyOOXOX4TVtrHtkpbzi2vGDkur60eww0P7 +tbo5PzRLdWj2zm5o0UgUegXdsfx29PFxf7x0TwsOLpmuYbEr4fiaJwsnJ8t Xlwcff5efzYnUM9cX1sur0uPzvH1SX4dSHibWBzaQieCma6uoUSpbjcYhWUN GS9i7zNlLY4vp7L4/4EEqmJ4qBMwkrlTODpqA9OTVtMmEjYhitabW+t3AdIl BamU9HZ+nU7LAYw0BO3UiC/txGH/SIAfAGgJhQ1OoAI3l0lbYcmS03KKJ5VS 5+YmDAbx7u6nDEZOTo4GB80yGV2hYBmNUkA1FpMEZFKrZgI0unKGfOmPTthe R6WWWMxycD42YlmYn2jnNyjkVPDJmemBqckBqbixr1cPRnvnjx4dH9isCi0c aZfBKAcI1GOVmzqFV9bx0L4hQCYdHKAE0nuBdLzhfUM9DzZY/mug0cXvMIRB ROrHCr0gOD3Q+8o5LXgNIAQUNxVE5kXzNJAd4vmVX/Tjo20+v4bVVkmllQr4 lJSCzNgMfBAe5x6X+DQ05nFw/IPA+CchuJl5KMIFIjha31pVGARNHHJJfZpQ zeIK61RKGrk5Z8ElCsb1sfHD+Z0j35lzFQn9xPkZrOZ4VyU41F2a7mFI8pNU HBuQ7BmfAzlBAnSUkBOEzguGbZogc+/Y7CA32E/vy4TXOBImuRSswV7CDuje eSZ5BaQFROdFb2xvHB/u9fd1nP3mUNpIHiamBuGpMA3MFACQkChgtU351fXZ YPrIIMXE5wQ9CYz610vs/bcfhEU/vIb31N4n3Ht7Gbfrp7e4v/0SWcv4vNMJ ZLTs6jc0cysYwvqYdK86Vsnm9voRvLPZOzKRUdH4L4/IwvoWoYqmtyrisnFP gqP/611kUknt2ZVnV+Qnlld3rP3jrld+Y9re2bwdv+/O+hmdGojL9GlXMgA3 UqiFfDkNYBIuP+J9XFhgcgboPqeny3m1TUv20f29SYWsJTAx0wub9SY25Uff 2Ad3ayKhwJ9CU3NyKM1tcl3f6BTST/78NIrMKeouNegVoHu8gC0awOGb6gf1 FvjZeYN2D8oI8XABJMTw3CvZhylnjc5Cyw2LTZtLSiivSb97i6oqpaIuU6Jg IgPX59oa+uvu3nb/UJdEwSoiJ8L2ZQREGHVbvOMSHOTDdZNVvb5hv5NPkCsb m6s9/Z2jE/3VjbkKLa+FWQZ+BXBRERkPyL+4IrGRTiyhQNKwQjI+h5LKFdUA ZLqM11aVUtWYu7u34/qwf9gK/6LT9DckJeiHTk+3zs8W7rDrvw5L52e732bu 2N7ZsJgVdCa5sCqpviUPn52Kz8p8G5KMzSQZzZr5mW6FnBae5sFTQw45v419 318iIauA6ck+gEngrcUk0usEYhG0LbWxvrS+vqxRM52m+gjV6Du4iN61VNIi FDRo1W2dRuHYaJcJ8pLktIsXKhU0Gr0M8p4EW06ZDHyrBdrYumFBr1G3SSSt Vqv67Oxuz12nJyeI4MholDCZ5NbWotbWYjq9pL29XiGnd8B64K4IB/LW32c0 myBH32trizs7myJRsxKiI+7y8hRY+VJpxXr9NR+V+/s73V1SgEPt7Q3gzhJx C2zdxoODuvIB6em0rPEx69zcKOAiyBsw7DQJFBxxA/XtWuvrJtfB6fI9eBV2 CAIJfrCDkfeIc1pACG4Y99IW4trGtWg75+fbSkWLSFAPOk91Q1lYas4PvnH3 /ePu+cU9CADLeRSYs34ORg1PQtsZiGnPsn2unkkSShpBY3H5VWoNU6/jSJR0 O6xo8bFc3hiuEc3Yw6OD07PDD6MNJCX6YIj0sbuV0su9kn2zKSno3MAggo9/ ircH3gOVG+z0ioPJDwFXXqPdw7LCovOinJExQT34pvgCbvRL9ecq2SotZ252 5HcJwE9PT5rppb2DpmZGGZhNCsg4WO8otKIuq6o+C8xTacUxSYUh8Tkhb6LC f3BD//gGe8OH3nWPMdjv3eKbBFyECD+WCSR79vXlhGy/ytb8dgUdIFl6aVxu JW5iZqhNpovKLE0uqf/OK/Z9XAA21y+pEKoKf1wEOg9HrEnUmmWgaW7W/+dU iY5PTnf390F7HB7taU3SfEri8toi5Mn07OxjQzFyz8WVWbqwFvBzeIr76NRg /2h3clFkQrZvI5ucWUGpZjSMTE0QG5gSnaGR09qulDLEmrD0on97RaGystxi cD/6xiG62TcYCbZzBKQUIzPAe1tfZCKGe+HW7pbUKAM9xClxvewtsDnVG4y7 HyEAENGNQBiAmkKzwstgw//V9eUmesmnDMEohOyiWKWWd2dnQ8QmzpoHr2OT A3kk1CX2UD6lPg1zURoAMOS8sj6rvpXYTC/Rm6Qf79gwDJydNlCLZuch9ZVW Fjm/BE0k49ntdWarRqpk7e/PNTOKSiqTo7NCIzODwQmgo3wyHkBUFimhqJno 2ug31kQXlya1X6B9vmGCuXRnbWdr/G7fRy47bifHs1sbs181yurh8WHfoLm7 S22zdTC4ZDqrwmIS5JNKHr/HeEdlDQ0ZV5f7LRYZj1fT1FrUyC531vzXy9Jf Lu3srB8c7IJDpWSYzUoeHM7+9ORoYWGyQ8Myw5KTDs2lSZoWdqcDztv5tYB/ AAh1WaTzc6OwjOXK2A3yNdTMYJRDOj8GyCm3Qk4FBOX8gPME9i1Jt6/MIDlx fRKRk7XVhV6bGtGT2d3dtlo1AHgQHWChsFmhYKqUYFblOikOzM5r60tHh3u7 u5DkX9fRDpaWFpNwe8u+ubXGZJZrNAKHSwcApe7rUfb3dshkdCq1WCqlg3OT ka/TclQKuljUqJC3jo9Booa52VG1kmazymdnR7a3oRq70ij+y/clV1x0NXAG rw3tjS9Rr1/Ctu2/xDx7FvciuSwxsSxJoOa63gH+8PnAcHdRTZ1Mb86qrHsV jX0eiX1wZUAEbXAEo77zisEU5K1uLB0d7E2MWnttqj6b0gzHPrOaxaAFuy2S 2tbcZGLk3OIUYo0LuSlYmrotLf/QT+D67x/r29ga29ufg0KaXpw4LtYg76wL U3sHd0TKQ+7GVXPdsO8qaMTU4ijvJM/XmLdvMO/AlYTcIMSsDFJASvcFdAQm Nd9Uv5cJb95dn/ggsQD4FsothZx8cT1Xv6XO5+GgMLNzE2BWIlWmlFYTwC8W VyaWVqUWlidmlcZEpAe7owM948MfeMdC8qKPM9J9d+w/X8a9TUAdwn3ys2oE Mh0vKu19FhnNENRlliUkZPmCIjeyy/zw0b74ZGxBxuMgjBcqBodY8xWF4gug KDOY3EC2pOnD5PVJhSLn3+Jyy34OQSeR6ig0YiThXUZZPKk+veNzStFIEXb3 tsubsm0D0PJtZ2+LUBKPzg1a31oTquglTWX7h1APIZQ3/J83wf1jU+C8oJ7+ PAJbUVf+IgL1PALz03V9JMBFP/jE/BQAoD3WG5t1GZPuiz6+ALl/jX1+I14q YgHqDBl24wB/fRL1S6uYeik3G+8jwn4a77D/olyagBHJODDrOa4/uXc+IKAC qxqywec/bVzmPCpqMygNOeU16YCpwBe5oqbBEeuni4z4UnbAqx6xnNnMKNXo hM6MdVqkpKrkEkpqATkRoBGpKiU2Oww8ZaHpgd6JnigSanKue2R6+C8/hn5I UFGODnchBSTYTfT1KGM3Dvvhwczp6VfZaEM6wOT8OKYoIpeMamouSkjNFsra 5mZtC7MmvUE0MGBYWeyZm7HOzXYLhVQSJcU3+TVXSf/zdHR7Hnf89aHr5OR4 fLx/ZMRGo5UYDVCEgqmpAUAvFpNILqfKpK1wqFYO4ivb3CmUSqmw8T5taLBz bnYIMZB3SnLa+XUMQCMqplTSDD4JWf13sMG3wGxo0PMAxuhgt0scTpXVqu7v Mw4PW4+PP/QT5yA8PTVggmzN2CNDpvn5MZWKo1ZzAcyA/HC5NXx+vVrNs5hl TkACOZyd7j89PSOUN7UKZBOjFl0Hf3NzbXFlTihoIFVkl1HLFCZRKhk1NDVw fLTfZRIp1CK1mtPUlC8UNm1s2Ad6tSolncUit7QQ1Sr24uKlh2qASaAq9vd3 rlfbX7vRneno6NDWZzw4vNkEYr3YPy0wqSwxOieigllRy61ztRlxJmQ8HJ2Z exQUDyjILRb3Jjry5+A4l50O1H3/OG80AawxiTXJdUySXEEFPQrws9HAc/rx Bp2ktI6QkO2PzQ+ZmR8Hk7Bez1tdnnZm6vhgx26fW9/+YAaFzKTzK9NbO+On p4sHh0sQHZ0vXVyssmSs5bU1+/ramavlI/z5w6NDTAmOq2LnVGDfYd0BGkHO UtDusdlB+MIwVE4ALj84mRgemx3okejhhX/nneSNJsYCHHK/HrzgRcLrsMwQ nY4/MWZFQhn+ri6BFMFi02r0guqm3KSCsKLKpLKa9AZacWJu/I/v4h8Hhz0M CP/hNfbeuw97aj++ueIi+CK86Yb7zi0qMisD2b26cyy6gN0VguPwcH91fVlp FAH4weYFlzXl4AuicAUhCdl+qcWg7CG4/MD47Khn4QlR6RHJREgpCzoKIG/e /fB0+VkAQ9TMAIG0CuSvY1J/8Il9Fh6ZkA25K0flBFe2FvaPWDSdYoawDnGD 8zF1EdCvjuBhAfSEs7PTGkZZLRNS2V1YmT05hVBwe3f3eQQ+IoMEvr5/eOSf VNDCYTFZlJzykl9CUQ8CEh5dqWf/5B/3vXd0aBoRANvf3UMq6V/YUS2oWAA5 7xM9byPQp4/3eA8ASO1aAXIfsI6racq/vf8FKfNUJoMDnBDJ+OnZUUhICjtj d1Zd75Cld9hydp2allbmaOxKeM/rbkYqr0m71JquSQeUXliGBQxGbSMDbi+q wNc2F2gNos9GQXWZBz+ssPb2tmub8hAuKoadT4LX8IxAsOiANNVx7/0IfuAh ehrzrF3L39leBauhM8hU7sYO7F9pjD07O95Ym7GvTG5tLe3vLc5NW05PFqH4 YqdLdzHS8sX5V4yyijTK2NRgThUuLDHppV9ybQsNENH8rG1lqW9x3gbOF+ag ALjdXXI2ryKlLJ4pb/kiP3rnld8lY/+flC6c2h2Tk4ONjfndkJMiR0+vQSio A4t6qaQFMIPFJNRqWIB5DDqO1SLt7JTJpRAgTU/17+9tDfbrXfe52OwqDpti MQqE/DqDXnxyvG+zSEYGDGajwGoSTk30bW2tabX81tZiiYSq0fAAnEgkrb29 hq0tSPJzdnYyMmwehbV2ER1pfQdbr+No1EyxqFHQDkXHA7+C6EvL5TQXNuMK xTR0fubDwMgnwejShgx0IZbCpDCYpXVNxLD0AN/kl77Jr95hf0mvRJs728vq a6qbKjRqdk+vfmlpBkxzMmkzl1ttsSi7utRXvj2hmtncXEGUsS8utW7+ig19 M0GbU4f73b26Nn5tcQWusKJMqDC7Ol7e2dtZ395YXBjv7VHf+OJVV/9QD5vb KyGpKWDZ/pN/POyyz3V3AyzeY8NS46htJMDGNHZZVllCHa2go6PN6ZbT0ing CqrTS2IJpBjAJxRmKa4sEaw0m/j1wxP9fX06g1FI51UnFERXc2oOD3Zc3d1v 764eHM44HKuQjRvsfg0MSsTmyszq8tiCjL2D/dvra0RCld+Y/wrt5pXs8yzu RVReTHROyNOoJ3gSKouMicr0i88OQOcGJRdF88UNElmLMzj4JR2h3sTlR3d0 sK2wnePhwd6NCvls5TtcRo9GOikhyze3JKGtva7LpskoxL7wS/z+Ffaxf9RP XrE/vMb96I5oIqHvv49HttXuuaMfeMc89I1+4Il65Il9HBqALclFCnt7IDo4 OqihFxXWZhZQkjPLUZWtBVqzLJ+Cx+QGYPLCkohhSYXhCdmByUURGWWohGyf KIJPcGIQJg+SpOELQ9NL44UqlkjNuvgNmmzIjx8dHxfUMd6jsOGEcCjw66W7 p7CC6qTCGkINg6QxSW47CL3rbpcdsqtPN7c09cEoHlb190vMbZNCrhS3dnbb ZDpbb6dOwyqqb/mHR+TzCNzPIZjvvaOCUwpq2cI6tujk9HRwYlpu+OORPe/I Hpyf/cP9lwmvPZO8wQF1Euzb3whIUIwwlBuqGJ1Tnzc0CQXCHp8czC9BkyqS rhgGAhsAOXUthQ3U4npqEU/UfCMP5+dnkg4uJjewqC5pb28W8NpV1UF529vf AQsT561uy6YAI0GhQMj4BmqRRMGiNOQQy3ESJUuqZJEqkwCwOd1DfaIGrl24 WjQNTfTF54T5p/h6JXoFEfwBIKFyIwAgvcVCG5GvUG6+yT7V1CKpgoZYQA/0 67q7ZIP9hr+Kf7kPhQXL+emRkWHT+urYxJhhfcN+fna6vbUEAOnifOX8dNnh WDk7XbySJiGwdGe4sS+XM0RPbN2uUrLjU7IfvseUVjeurfQBIoIERzPd87Pd 4HV5scfcpS0ik7jcqvER2/Hx4W95xj+RVEZR94ARGQR2r0QKG9cNz/9yCVmJ jI311tVlD8P6qyaTXCis64I9AHRo2gAgASzRqllQkA6b2qAXAWpSyFuXYBnL 5ERvt1XZZZaAmQLMgFxODbk+o7GtpKSGABZ9U3OjjSxSLZOIyotrbWt1QJo/ mwC3tBre+Hi/WsOVSqlXe2cUo1G8sDC5tDjZ36uB44hxr3blIHUjkA1ATUro geLDakI8vY5nsyrB9S6zeKivg1ib4Yb+NSzT3yfJxwP3Njg9MDzTI4eMjc72 8ye4hWR4+qa8QRPDNBpaflVlaW2FUk7d34fIZ2zEIhTUDo90b99yrOFaT9+w Tb5quiQEMHhSGvPzSzGVdWmJ2Yn33FB9w5DExnUD5RQKq3F28RH//LsHB2CZ j4yHDLHy72/Dn4RgbwX+iA9OzmRx6yqaMnMrMG38KrWayRPWyhVU0IJSWXOH tq3bLJZIm/MrsNj8EHRugNokSySngtXl87iXfim+ySRUSHrQL7EvksqTMilp ebVZCASAl+OTE5VZs7M37bhYuxp/1iqYNf/wcXuHjRieGv9YFYA8C3Xi7Noc 8CvF1JKMmszn8a9qefVqq9YNign+PjgjuLiWAPW6TkFSCQaM5+9wHl7wDAiW wGGZoQ3MEoOOK1fQ1pFYvX9ifTQ9O2bu0YLJiM2vn5wazC3FeGMj7nsCNMIC QALH5RbbG0ia9JNn3P23KMgJkhv6kX/Uy/jgX4Pjn3gn5dVRtmCvCDeBEEba idkRwDlRaZ6JhaEx6R4ZZQnlzeUJ2WEZpVERqYEAXUoakhOyA9SdbL1VaLLx VUZqQnYwviC4uD6vgJJazyo5OPqwZPhEuoCVn+EaPi6qTU4qDEgpgpxeQprw heGkhvzy5tJWfq3aJD08Pjk8OlxeW9na+eCg4MbN7rw/0t8A7byOSdna+TB9 W8xyjU7+DpX1k1+0W0zSYwjU46lCxe9sjd+RkDwvrS0TqtKaBE0I8zi31X4j I71CvXkS9UtwZujW7vbZ2akSLB5Z5YhUp6AUI1W27e5t29eW1taXz2AhC3ji dva29w92x6eHrP26ipYcVI4/KiegdwiU9OD8/BSpIudWF4tX/THjOASNlBqe zigBVCbXcMDkLlNzbH2Qh7fp2VEWr2Z0vM/hQqqfrQ3H1RokrzH/SfQzUEYY it7FZIVC3vidZce9+3/ZewvuNrZsXfQnvfvGuPe+c+7p092bwpw4MbPFzCxZ lmxZlkEyMzMzg2zLIFlmZpSZGfVWVdkyxMmm7N1J7ztHRSkLqlYt/NaEb+aW xPV31SKuqh3tEN1cO6xMnoBDWXd3NhZ+TaTznyvXPXN/b21stN3QUT/QX7e+ Nj453rG2Ore3uwaNuvM1MCPt7M4c7E0fIxSR5rXzs00YHf1JcnZ+1tJSFBuv 1htq15b7YSVSF3IAsGSa784uyIlKjIjJUsnUtIERaPX/DU7yCE5u7qynKdwY vh5BKT7BaUq6P6a6tSyjIpEJpvT2ytXNlZ+9ztcpSOeHI+JjV1YgT1qdrry2 Jr0ddjdC4rlqqjPKypIa6rOGhwx6fU1jQ05bSwniqDw02Nrfq2trLekxVjZp c+RhNLoS5yx0wsjsPTxtyL7uKKmdqwSsdDb2HLIiJmPGtLi0OAF+PjpsMBhq AToCGKkcZrrOzAzJzY3QaguHhzvHRru6O+ssJhiLCxMYSnfehEPwcruNNeok KbgL3tsR4+WMlqIIPk5YuQMARVgZAEtOaC87vprU0pLrG+mnCA/Rt5Qcw2Gz uzubxcVxAwOGGxVyC0X/TlD9lQn0IGAS1upKd3Z31DGpgeGiqES5E1n0Hus7 Z7rlfW1RdJxdpx47BWczpoXNne2Dw42uofb1LSQnnXl5fZPq4/PAnfwEw316 GyAVlKQP99YY9ZU1tRlRKT4h8dKSigQ4/UQZQEcl5QnggLzuW0sKS2L9InlZ JbHB6UEAHSGBPwCcgMPV052jZoOlRBHva74akqdn5wvLU1ebskvjfkZ5RmJR 8s7u9Pr2ZkZFyerGuvn2+ntxpTUdmxnrGIRUCiGZYdVtkG/Mzt5OUUPx6Mxo m74K4B/Qq0XB3DcQE7IzQ0W9jOnjO3pIPVAyNFVJkkfLpqcgjqnf3zAbm6v9 Q8bB0R6+ivOaDqVcf+zMRkxskAbJgfvIHrap2fOfoWhPXJiP7AU/WLN+dKC8 pqEqdS0/e32wsKYVhpGkmOLanOqmxHckFzsme3m1K62k4DmWODSun5xpyS6N AMB5eW3CKyzEhs7g+pG4SlxSXlJ6cawykre4Mm++H8nclcPjo8A4L44vniyj EKVUgT+JrcQh+e84SjRb4cZVopRRAkUEV6qh6zpqf/ayNzVjCICvae2IySmx /BAgB4O+dn1jdWxmrrSu1pbhmVNRIwqO29i+BI2I0ulLR0hBr+vb67v7u/n1 Bd+hfrTh2QnDxe5eKNB1AaK+FxTdyTUPANUHjo002uvk9AR5lrmFybScsOgk 35Boz8np4Ts3XVo1BSfJwlMVwkACXwXVpziIJAuhLa9CaVhvWtnmTZMzc2NH R6v5ZbHqSPEnMJJXRJx8amZkdW0xvyS+oDTJUuHmG+rWX1Mn0A8B2KOoAHq3 BvXgInF1FruAIXwDE9rR/MhwHszraRyZ3qHsfj2NW5srYNs7D4c/fH1z72V5 treXz85ONtdnDPry0REDABum+b6B/uZF0+jcjOH4aPfiYn1ytndseuDwYG3/ YPbgcGZtc/JnAzm/WClhGRo2pmeFq8OCsvPTJ8aNC3OX6AiUdnN1YNnUszDX WVSWXVSTX9yYu/SLyUg/vhd4Dc3wcxFZEXyc3SUfXEVWVD8UUeGKkliDLspQ ogAeKKzNsMy935wcHR1YeDYaGgqaIErtqqqqdLjfllRWpuXlRRcVxQ4PGzs6 6qBPO6pPT47PTk8AjAFgRt9SmF2YHhofQZVzMF4eWC9ngFLwcicEnBC8nci+ TrZM2nOcaHx27vT0ZHd3EwwHbX1WXW0WwEiVlRlVVZmlpclwetPQ7Oyw0rKU 5mawhlYi/ksWE97N+DXEN7u1tXxleQbALVEwFSW1hbCQ1AUnd4QPJ6KPI4BM 4ATgNM9QomewjK30y84Jj8sJ1hqb/OOzq2pyEcPiN2sn/eUCPd3BwU5Hd1Ng OD86yS8owjssVgomydAY2StXZkhCqflz2cP3L86Xj4/XRqY6x2a6Do9mz84W 9vavF83l1cmgBI0dg/UCf+Uci+U8RrE8BN7FFXnwPrGs01BVXZsenaLIyAut q8s0wA78NfA7qmh+YVl8fIYqKE7CDqDZwOkmEYU89CqA+GTAlFtYm3d+nQ/u +AJK+7h8DjHTLl3a+s2b4Dg5WW3saHCVcPYO7t+v3YJMF9emAUSGBtv6umqT CmKfU9+4StxEwRx3GB0hkUrv4aC2t6wPBB886MMD/brf03MubizcHI3SnoXC igRvaQRIdwQrji6D+p05T91YD+xZD22Fzz0YrwlUTWoSjq/52zsSWSEfm526 04Fhvd/llcenB4vrMiMyst+RqDRFwPLatLGv5g2RQvYOmFsc0xqa6cqgvtGu 8/Pl01PT0uqEu9D3BY4iDKCIgwhcJaajr7VroHUR4rX45Px56Wk8PeefkOnI kT/H0t+S+S9wbEc2kywjBsRKmL5stJDuFUzx1FA4Sqo7n/AU5VHZ3HwGszL8 5toz3zdyx2ehbvnpnvzlpW+8P6sqWx7rww3mo+QYDy+Mm9TjTtgawhrBCGRl VGZac20hTi0hxLL1kvq6BKbOOIVDek9OThZM08mZmrWN5asMiRc3zLJH8dkB NLkLYruUBJGRuMvMkqitbWiBW1pbLteVD0wMFJTGB4bxwWYkLtUv+KNMsqGx 0tAYaWSCtzpC2NhSjjzF+saKxW3v13bp8/PT87NVUHzEB76lRxeVF80L4Uqj RM4il5uVAIY2wQd3M5XVzWN4SN+hr+iECf+RgnyRBvqCcni4vbE+D2DG5Lhh dKSlr087OtI6N9O1utQ3NtyyuzmdVZqSVJQVX5D+FEtCS/wjs/JCUlOFmrAP NGEF3OH/hIXG4jmTlxfpQJAERiStL/fNQva1TtN8T1d3szo6uae3eXdztL+3 TRMtE4bSpmGT0G8oGzIbZ1QkOgvfEnxc8N7OBG9ngI7AEkz0caEo3MAJWe7U 3t1o/vbJBM7OTqurMlua8js7ahvqc5E0IlVVGXl5UTk5EWNjve3tlaBvA5xv hgMZVlbmJsZ79a3F0SnxDzyYz7D8VwSeLYuIkroQfOxhcOIIEAuATPZcp7Ck yJGhNoC7untaFhYmAKoBOwUAcqqr0kpLksrLUysq04tgOvTysiRwFBTEVpSn NtRlIbFyiC6rqjIVwCQkBqpFV1hdnTE60jNrmhKHMSGAJHfCeztgvCCYBE7c RO5oqTNW5khUODhw3R9jSN6hArGG5CF1fI6jBCTkIPy0/+pa/zMEWYaqtdUB YYLoJB+wPw2Pk15x28pUIcLmdki1fif8eWx2urqteXF1YXN74uRk/uJiCcyj 8LF6erp4erpivnQZvahv076nchw5knfkSy/Z53CWhw9UdnpuUk1dEUJLDplE IVqJwvr6bGgL2QIBJ/BOfLqfVl/VOdAelxXIVzNtP/LlcITtEcwg9h5sGIUX jANQpIODWbN5A/Y+ggxt5xDNyOL5+crkfHeJtnRwAjK0fcp7+fw2JwCsLjsD 6H2wr6mrv91R7OoqdglLURF98I5CKOr/A9f2HdtaGi7wjZZi5Bg7vn1oiupg /wv4W17A7OKziwv8ENVDZ+ozF94TF5bFKxtJvvCBKHIVsR84kf/5jvu399jW bkglnphVR/fW9IwOmO+bfCBWqLPznd0taYh3alFaZXODFYX9lsTqG+mcnNW7 85kJ+Vlm89765lR6aaGhTw8AJ4CXfaOdL/BsjIgqC6YyFa6l9QU/W36kd9Xr uzxESl5gNFURxlUJ+f4kpo9rQCx/c3PInin8zpn4nox/hqE8dGdaM3x4QYl9 o1PmG1bdi98R84L8bP9gd3sXao7tnfUrn4o/XK6dpcf6InOjSUqyT5ziPdv6 jhLJEfbKjsqLqmqtfkl94yhysea4OQhc3nM+eEYqzFe6TUR29+7vVOfna1kl ocIAIgBIFlJTrxCaVENVRXMGxrtksT7PKS8cBI6qCCimPjBCCNEoJdxlWAIf AXQUEMrVREHhk81tVVfE9b/l2cGQjM4IGBytRzKSLCwN5VbEnZ1uNxoKsF7u 1jCF+NUodgY7HRuuXVF5klFffkeJBO+Ci8D60t/btLw0/UV0s19W9vfWTQt9 46MtcwAgTbTPThunJw3gdWNloLy+ODQpWqSOsKKxnhOobynMx2jmIw/md86U H1zpP7oyHqMYVgz85DwUu/3Ho3dkO7xXWhIfnxgcHJM4Pqafg9VHK4u9q0u9 yVk57gxlQFR4X3/t8srs/PLs4dE9kb+/6E7wsxTWZ7tLPuC9nRDtBFbucHXi iJM5sAPxfWPdV5EX3+iCC4f5HB5UVKaBVQwAIZ2ubGzU2KTN02qLcnLCc3Mj FhamdE1FrS3FiKUYmZWmxjs62oraWsutadJHKDa0LKJ5L/Asew4WgBOAUrAy Jw+JG8rTTRzMqKrJbdMVVpQnlZYmt7RW9ve19nY3GA0VYFAAmFRcDNBRdGFh rLYhByydzY15lRUprW1VLbqyxoacFlh91NyYD7BTZUUqRE/UUlxenpSTHSYN prt5WgPsiqAjZz4KJ3ewZhBfEpgoTwiqOfPRb0h0tNQVI7PFyuw8JGh7Dn17 DyJe+9Yx7S8UZAlLK2h45cpWR8oAKLqRaEAWHiuJTgo6OLh26kC6cUZF8QOs k39SyPbu1Cnkarhi0dUcHC6cn+9bvjk+M/+WLHjowbpMgIVGOI25z7HkuIzo ro4qhNgTgUmQ076hAmHKQiZJAJPArHi4vw1wQkpp8lumlRMcNI3ojhBjxGv6 25iCOPONJjs6Wtk/nB2c7ADFM60MnZyYLi7AvnsZYKSLi83gtLCYPAAAzGe/ hnLk6OgAYJ7kslQPL3RWeSpOjnESOoNb01UUzzC+b4y0A9J6ZeiaCjILo0ua btFH/K4Ggi8SV5D1E9rpqQsPMqjBuOiRvQBOdC747h3PCisVBAeJg8NdaYHv 0LL1zetF7Y5ttG90Ymxm3vLp9MLq/oEJTPCzplE3gUweGWU272xsDp+dgkZE nNvXF5aGAbzc25/d3ZuNycn9L3uqNY0GQI5flHDG9Dn1kflqcd/ZP4jNLUNJ VCiRgK8iSNSkmKzA9Y3hvf25wtry9JKikNQMcXB0REZmaUNpWUN2dXMBouk6 u+E282tle3cT4eZqMlQrwtl4GT0mN1UULKlvhxyQ/hx+YETzA06au5rZas7E /KQsRg4wEqL/tLj32/Csyb6eZIX0PdsWzJCviFQbrut7JuotDZdf02z+JXMR nNwnoziU4uV05f0OudMn52kqG7NW1udVyQEI55K7p5smGgq0Z/gSxEHM0Ghp 2DXPkjQ22W9sYqB/sCMzL1ITKZL7k7MLoo9PfnXg+aX2eM0kDiJ7hzGqmjJ7 BpugBDFpvqX1KfJQOsByNAXGRYxgRad3rA9oGYoWQI3OUHfDnqv35muAjAWN udPT/chNfnV7/DFyenoyPdmxMNc9PwuOLvika3bGODfTGZ+T8o4i+M6F+qMb 4xmO/hzHgjaJOIh66wUerIbIK+cpjiQKjkGu9sc9FdIoOzubLS2VNTVpDE8f iSoSFHJ2pnNiXN+oq0nJyl2Y6xwf7Y7LTvdP8pxemPj9twOVo4r39JBYWzDS ncNV9C42R3NycvyNAiSk2Juba9VV6V3G6umpwamp4ZFhQ2ND3vh4X3l5Wm9v C4D0TY35oOuaFi435gdHh96h4ero0L7eFkmw4imW9BTDh51PQN9gA6DiIYFU bQC3EH3ccXJCW2/n9oZJ317epM0FMKmwMK62NlfbAGXCtcCk0pLExoZcBP+A 8dLf17RomjKZJocG9VBmtObCqso0JPlXVVUa+EmLrligJqGkALI6ATD2hkR7 S6G+p5HBGu0ucSN4O4C7u4rcIaufN/Qd2CXJRhLOLGrIWVoz/QWMa5eCWHNS cmvQTF7UDYAUEuOljvTyDxXFpESsrF2y9SIyt7QYkpH8T3fblNJUs3nDErJ6 GTV2sXIOJf64XNxjsou+cyK/IvBf4Nk2dCaYHMAGykPkn12UbWgrRgASEtSv 1eZW16YjeKkDdkaqrklrqM9qaMge7G+JyAqr1dcyAhg2PDs7OE+uHbz3fM+x CUzwOdiDgv2Rha9vbFiVFPyWhhGHqdp6G8/PVxCKNnjR34jIjhucnDD/pv1a c5duaHJIFCYKSfJNzo/MqsrWNuYDaNTaXNDbVT87PWA0VN1J3ft7Wweu9dSy /LcU8mMHHsBFD+15L9z5UKJzG8F3H+hB8Rmpudp3KHlH3/Dp2YUiNJshjQU/ PDk7a+vtutnK4LVE2/KSwE8sqGg29gL40djR7R2ZCJEhmDd2dueK6soHxzqh Br0MOoZBrxniSTCb95r0Jf6x0vTSMlum4oEbCSfGigLpMwv3p/y+9AqGV/bj k5PhyQlNYgBfhZGoyQJ/UmKexthXc35mgrPDrB4dL+aUJYiDCFINSRiA9Ylg js9c5745OT1b3/ql6jikJNs76/4xAnkINTwj0p6Ds6K7v6FhPrCwz0nu7hJ6 93DPxSdCDL64IONldGZMa4S06/uH+z5xvgDngw7sInGDKZKcnEROT7HklyS0 NccD7CKf4dgvCbTnOM4TDOMxiiOPSN3ZO6psqTQMQK5x51dyfQv4387u9MiE rrA6Fs53fHmwfT3islTDEy3yWCmiubLlOciCOdEJ3jINmxtIb9DlRcbLLVyU wVHiuBRVR3fT3v7OvGlKp69JylA3t1WZf31/Rr6fXhTD8HYV+BP4KqxXMD0m w4+jRPNhdnqxmmzHs/vAsbUTOHA07In5oYODGb2hvENf8amMn8jMMDpigB// Xz85X/pWbW3U1GROjLUh0Ag5wLlvVNT3LtQnGA6MgngAHT37iKoU4eN6igav jM6hvj80Hwpy5d3d7dbWqvLy5LHJ8bKa2rWl/mVT36ppKCkr53tr+jMXemYZ 2CWBMXv8O61+yG/XNpbFwVSMlx3B2/ljdATeRElsUgoi/oWJYH6nIMVeXJyp rEgGixTypqG9srWlfGyst7kZclDZWF9uaoT8SbZgp/QLyK91312g/Js92Znr jfVkoDydHDg4sDlClEgAliD1g5c7obxs/aP4JeVJSysLB/u7E2Nd7a3FACaV lyXDabyiATRqaykx6stbdIW1NRm1NZnNMDtlq66wTVc0NNC2sb64s7MBytbc mF9VmQo7LIWXFMUnZgVhZR7uEheMl8trEh32E+Y+QvFtWXiCz6WiD4ZGjlfn ju5iF4KcIAqjLSIJK7+CMfinSX5JqlgpsET+hsfKQqKlaKbnYwf+39/RKhog nmFkWgYL6+B4V3tfkzI+NKMi6/QUcvhByGDB0gSZtCDNw6b54hwxjoDO4MLz +d6FBkAyTU4nSd0D4iPAonl2ejQzPQRnpbnGSCnZQWEJXmDLHxLv2dxc2N/b VKXNS8gOBt/c291IKUt7x7R6w7Dia1gUBd5F7GLLs3cSu9brSlZMk5YSisMD 39Lx/GBVXXsVbGjbODicPYdW+eWLi5WekfaN7d9i/0IiFxbmRnVtFYcHOyfH kKJsfLSjw1C5MD+2B5s/kHjkLzvYj46PJRFBtjThj9b8Hz/wHzlwrJgEN570 pbvoH1YMWwanpVdf3dRl7Bnf3dvc2dtMKSoamhgorCt9jHdJK8sBRbrpstI/ Oukq8P0PayzJO7iiqbWkoWp3d+YcAkIrJyeLlU1VTYbG84tVqBFh3AvA0tmp aXVjanGlD8CbgBiBodcg0CTE51fUNBfqjLBC5tNgY2l1PipdpQhneaqJCNWS fwyvQps4u9AOus3u/uzJienoyLS6PtQ9WA1u0Wwop3tT+0Z6e0amCutaY3JL HTgyqm/IJxvlxqul5lNL8+zZziQ54QXZ7RUV+5aOe0sHr1grJh5gJFcxY33r nnTwf7Qgvs3Z1TkOQid3Kco/JRDnQwCd2Ypt/ZLAtKIT3tLwTzE8aN2E2ObZ L/DMNxTqKzIup7rYXmBDVBJ392/qBm898vhUh180p6QuMTxFzvPDiq/YTbl+ GJYSwwtmsYIYAB05i5yFgfRwKCBODmBSUkZAxBVAAidJGZr03HAN5Lwtn54d Ra5/cLD3G6oJGSwdvU08PwzsE0UCheGpoIJZypZRFtPeVzs63XZ8sgtxuppX Z2eMn3JDsgAk8OkVAd1XMT+DJ11eXpiaNC5coaO5mc5lU68o2O8hBvuSwPtU uuRrjITlvSQyXpGphn44y+Efr95ELKerK1OlVXlsuUoaLHVkkHMry8ob66pa Kr5IAS675fQQFFAZiIccj+V3DW2QK7KXQ5MBci37Zk020GPu7+/q28pXl2fN 8BLQ0lzY2akdHDS2t0PM8ybTVHNjHkD+JyfXmROj0tPt6MJXRMEjFPMdhQob uZwBOHmOYz/FcN/TyLChzRHtZS/WUNMyQvLzYvTtVQCJra7Mg2URspo15ddW ZxQXxxcWxAJchIRX65oKGuqywetltFpTQUtzwdBgW093A0ydAdnaysqS8vNj ktIC6UoMTuZhRWE/QXOhHRmaZ8Mk4OUO9+r6QHlQnu4uwg8sfz+E++fbhLS/ VhBvgWOhr39YrASmQAGHNDTGMyJO6h8mV4YlthoH78xFo9AGfxWAjc5B3fom wqK/urkzUVifv7E1ubE91jfagSQQQTpDQU2zLYNnTSOzFER5KNVwRaM0Pdk3 Nmrs7dFaMFJXR1VtXWZEkhyspD7hnMrG/J29bYQ/EOxoyprLK1oqonKju7sa qnWlIWlBLp7ueAVx8SrUArldpU47ODne1Nm0sTVyerba3FlTWJd/cbG1tbNw CiU8+nUxODfrCozi/f3t86soHmQvf3htgvxDegx4qNq2lndor2durMfOjIjk sqrWRl1Px+LqSkNLzxNHoSIy8ej0MDA52juMLdZwbbjE9wzUK6qHLRuPEzuW N+SYb/hTgdeDw6PwjMIfXSll2jLYfX0N9tRagb3Idkenu1s6Gw8OTVCzwgDp 4mINACetvnp3bzIoTuipIY9M9n7qUS+31dsbrZ31uRVJykgew9tF4E8QBkBB /RwlKiJV1dZjKKytyqsuGxrvgnH16ub2TG1LTVFdUW5lYbOxJT4v5wmaYkUm PcPQn+P40dlFH9ftxW0dINz2sBFhfw8nF76mot7Qce8Y4MAi6MiCkZ4SXXOq is1fGsd+RhCFFdI/A1ICYwvi1WlqdZqGF8yvbqtRp4e8IXERevkbkZ68NxSi g9ABHO/Z9i/JKH6wYsa0WKnTByRk6jr7PrrJ2fLqSGiyF0+FAzgWcUYSBhJk ITSqAmvFsnGEM+QylUSAjmTBHLYfOSRGGnLDTxt2QPIpqUxbWJxu66iPTvLN KYyZm59Ern7+K/N8IABpfLqf748TB15b/ZADvOkfwz89nQdrCyg5QEfn5wsn x3Ndxqo2OMWnRbH8MUDqNtZ+hQnBd7aX5mY6EIA0M23cXB0qqMp6SfF4TaY+ w96TK/nO8ZLA/d6FyvIPWlxb+biqv2xHtUwFJ6enFc0VvCBOYnFUW2/T/uGX pBpA7rKwNBOXE0z2daf4uCJKJIzMnqpwQ84JPs5Ub5fyBiTp21fUmr9BRkc6 dhFykvPzmpqsvr627u5moxFa6aanhxobsgf6dJYeC2YqRUTUWxLHja/wkBBR ni4oT8iSBQ6AQ1xF7u8oFGcBCu9tj5NDsfYEb3evYHF0fEBWZkhDQ8HkeG9v t9agvwxVq6/LKi6KB0ipCYJh5fr2slZdMcSD1IpErkG8kZYBBb0DwJU2P7cg yiec6SEQAXT0Es8F6MiOjSP62N+LjiBYK3NCmuwpFh2dXXHx7TfZLxMEAO9F JSqik2Qh0WJVCE/g4x2ZGKiO8IxPC62sTfsYUewf7qysj8ALK1heV2BDzPrC 8uBTgpsNh5hWlt/caTi7naZk/2Cvf7QDLJrbu1sWioCtrZXOjmo91MqlSISv saNqqL+lp7O2UZubXxITkuBV1wKnwb3tL4QoapbWl4enRxoMDccIte/t9tre 3RieGt7b39D3dwMsAf/qzPyFZtX7ZrA/trfs7x+OTE+ubNz1UF1e29zdPdw7 PJBFa97RXFBi7GsqBiCBNzScE5/A8UUBkGm+DZAQ6RoabWguHRmq7x9sMhjK T4/ntjaGlhY661rrcsoLmjoa9g8WkHhASENoXm9or00pykrIUYsCybOwvg7B wHcE8WmPyQwAq7NvBDcqwz8xN1QZJeb5kSRqIk5MRYl9gpIS69u1O7szCAYD XWhvf3Z+aWh9c7J/1FimrbZjeVmRyJIgHMMH32xstlwcydp28yk2d3ZEYQHz y+AiZq/IkKHJSdC7dvZ3gpLDnpPcrJi4m+gIHAAyvaJiXATYOfgRfgmZz5cV n3hfXU/LtGk6ry5fHOGJvJlX3fAPR9IDdwacHg42u2B4b2l4R5GdA+Sn5Pya TAbvv6NI3lFEf7MjPMWwx2dhLfdtH7Pi2gSmD4qnwrIUHgjnOUOJQ0vdbsSL OWK8UK4St3ccG46KAtnXrvLSwrzcYqWakZYTNjzWt7G5Vllf1DeoN0O0or/C DelmTxsc6xEG4C3oCOx6+CocOBEGAORGNy2PIdbCC9iH6ux0q6ertkmbA6Z9 MP9/RoO0u7uJ3OrLNcvvEngyO99Yn7GY2GamjKNDzaIQ70c4jxe4X6BEwnGh r+FpfWMQhwOcRRF6urOz0z/GX+7+qvs9Xn/33APuA7OmKUEgkQ0luHQAaz03 EE/zdQfrLMHHBfxJUbiurC+Zv3F7Dcxjfz0Z1tTkDAzo19YWV1YgQrypyYH6 2vTpKUg9eHEZHH1WXZ2tbWtXRGe8JXIdOCSczNVi1SLAB8bLCSu7NETivR1d xO8bDNqlxdna2pyaqlQ4sqkS0bUiMKm2Or2kOL6qMq2lGQpea225du5FYNId j76ujorS8uzXBO53LrTvXWgOXCzGy8VV5AGb9pyRW985QNk8PN0feVA4gUG/ yoP325VLn43t9bBYhQORkZCR1txeNbuwcnh4NDkzfXR8enJy8rHGFUyY6tRY Q7/2HHbPvjTEnC21dNe+onjIY0IPDg8/b8I4hw1wR0cHPV317RCbaAHiWtbU lAf+NOgrDG1lXYaqbmMNgL6w8//FzW24+bMqWfjif+Zw+8PvdWfWOr9CmJb3 MyvL5JFKrBflDQ1rxbhUlTwjuotDfY6OoTgU8GUkWmR81pRcVHV2dj45v8gN CI9JCsMKJbZULkfpJ1P7C5Q+YP0NSkw6PJyHPcpWzs+WLi7W+0aNI5M9AL34 x2pGJ7s/37hHJ0cl9dkF1akZxbGqaKFETeb5oXkqjCZBOL/Ys7E1Ay4OW2NX bybrNJs39g9m+0Y6Wrt0sbnZJLkkNEmWXxnb2d8EcPXqxvLtGrjY3d+dmJuJ ykv93sWVIAjJqi7+bxt0ci5k8gNdI7+m+AHW4S0DfxcgQRiJYMd2zSiO/pf4 Gc4tz23D1ljTqknfj7jTmJfXNxTRqTTfkEcezBc47kN3+jMs9wWe9Y6Os+W6 2PJcHIQO72i4Z1j6EzT7DUnwvQtVoI65c2XQHSLSFCyFW1phSGph+NBYQ2t3 OQBXd4gFkOgGG549z58an+QbFgeRQ8amqKKTlE26cn1nA9grqYKZKytT6zuH 8sgUniruPUEWllS0trF9b3VZqvHmp8hz6Xua+P5YTzUFACSOEuMdxtQkSABs AxAuITcIQGnkApZfra3Mz0wN7O9vj49362BXirtHS/Ha6i+l3voTBdaabi6M DjcBdLS40As55TYV8NTy90zSCwLzKZaJ6JFgAMz+GB0BxPvAnW7LkG3uIAka Lp+uuaMmJT9s1jR9evYzXjqW2eBX9WpkFkXy1Pye5/9EkaAyNxtq0gqjeLCV TdetVaf4uInfg8NVZIXxsk8vizd/szxIn5LNzdXd3S3Ln+NjPY0N2Tf7LQBI JtP08FRPXlV8cGywu5CGljrh5E431TUQUvJxwMod3STWaC97UHsR2YFHiGZg cbavt7njMt4TQKCSLmPN0EBrd2dddWVqaXFCbU0mlHakrQS806GvgPyRLmFS iSULm7G9JK84w1Oj8YuK84+NIsjB9MJw5HlgpGg7Nu4eQ5s3xDzwmsiyojvF F4aZv7ox+AcKeNKJmYXYjGpdx8gv/Mnh0cEulMXg0jf74nz59AwsYYeT8zOB KXHD03fZM2567V5f5HCvt7eppjajTV/ZoivU3+C2sry2NBeYFu7n4ri4wepz 533E4IIods7/FevgF5eLi/sfBIGvJdraJwRXWw7xLR1jUZW8pmGc+ITRSSTq x2zQ13Z1aofHx/BeQS58Jds/woHj/ZYseorhPMZwfnRjPkSxfnRniQOUWxvD ewfzq+vjCNMvQDLHJysxOVlFdeVhaem51S2W8nxcSPC6tDIfmxnE9cOwfT0C YsUJOSGF1enSELkLlynWBD9GUWKzU8/PN09PF2H6haXrDJ5mhLHqoLalJipD HRCnYSm931OYeKlkewdSGnT29eRV1AyNQ9FzqsSYn5zxL3GUlx781zjmY5zb EwfBwiJEAUrzjM6pqOVqvJx4qA8s/GsqBtQGUifg9SXFw1FAHZoYMP/rxvgd zU92ZX1RvS6jrObvDgRruqcmpeCRB/0xCtIjQc69WPYrEvU5nvUCOngPPZhY z4BZ0/LH5a/VFfYMNSFh9bAD/GZQqvId68PNrHBwDB306iZ2YfsSgyJFQREC daQoLScMCVjb29stqa0oq29rNQ4qotL+4yX5Jxvef7ygoNnqk9Ozi088CCKn pydzC5OIXg6sAnkVSUwfN64SCwBScJJX/0i9Jl4iDMTTvV0DYwXHx8gicu1B hvw3NtoJdsfDQ3qjofImwR08sReswJ4eX+GI3tnZGBpsM833zM92trSUgV2e vrOuub2C4it6hmM9QUNY6DGa9ZLAvIORHrjT3AQKkrcmPKPgMqee+eLs7Cyj JDYgViQKouCk8u4hKADqUzDmOuHO11ctoEjHx0d1beU9o1DqxtaexrBUZVpx THVr2QLMovbvKhakOtjfCtaymxkMkfdHpkdQnu4UpTPFF0Ajh1uKGomrFY3s LHCn+bkm5QQINGRXibW7p/XQxKVtfWNjpbGxqMNQhbBkt7eUDPS3bKwvrazM 9nTVA5hUVpqgrc8FwGmgTzfY3wKGUktTPkyXAdbZ8qGBNvDbNl2Boa1kuK9W 11rzgS59jGZjpfQXWIbAX0nzc8HJASqzx3tDxJXwCcS27S52RUtdw7PCN3c2 Lr7K/vZHC6KdMP+CZ9/ZXT47Q9jydw4OZyt0JYrYiJ39z+VpMsOuRBdQHNw8 YvLe3l5vasqDZsLW+z0zAWrq7qzd3LxnOTBfmUFh9HVhkd/87N+cIA+7u7eH 8uK+oqLuqEre0PH2bJeMokgzrHJZXFlu1pXXVKa0tVbgJIq/O5AJXgF0ReAj FAuKOMZBluinWI4jUzA93QHW1o2tiYmZvtWNya3tKbA/Hp/p/8GVZU2lPXTH x+SUfb5UJydHg+M9puU5sH9MLYwOipOKAil4Kd83OriwJn1ovOWSogpyoV8/ vyTzXIF5tJZCUtL+13v0j67E51g22Fyz/QOL6srGZwc1CcGP7Nn/4yFGFZmr 7x38yY4NFu6HdoInTgJrNumBMwXNU4GbB8XmudADQDGSctUokZstG4P1or8g oz+wiKCK3rMIACZx1Mqt3Vtb9T9NEOhuvt4yQOe1bcYnaJYVVfTQg85ShcQX puG8aY48OryScpH4X/gEihCHkhtiOSUNMEz95F2QgXw4MqW34dl+4NgioAhJ i4PE0FH9Kbm1OSNTQ8YeHRzXLx4a7UZ+LglL/G9ryg/WHCuM/LGDABwPbPmv 3aVIAus76G5re2NxeQ7M//VNJel5EZpIUUll+sHBHninoa1C11Een+03Z+ra 3B4JTZaW1ScurowUVCWoovnLqx9DnQuIcGygFUl8CTDS9UapKR8cfT2NR5/N BPevlaPj/Zkp/crS8NzcuLGjcnmhd9nUNzrW+oZCkobG2DCk9mwvR64QtPXz K3QEWtNDpFxcvWU6H50aCIqTiIPInmoCVsz8uyMlqRBKGX/vJhE52dhe7xzS +8ZLcqtSp+ZGf3PH/j0j4uKKmuPmRPzxBZFEQpc/+ZYta5+SOx4X87Mjq6vz tz81zy0uLa1tiINTPtApWBnCXH1TXePgKvJ4TaJ+YFDDkjWNjTlJWaqU4ijk CqCGt7c3WlurSkuTG+py9FdKITBMxse6tzZXVldme7sb6uuydc0AEZV0d9VN TvRMT/UboX1H+9iosbOjemKsG3zZ0F5eXJLynsL7zplKkPrZsXxCkzNj0hUu QltrBoXsi0V72ZAUbnQVBub3BgUDGytnWRRnfWvtL7XaQn3757S4t74P7xbP z1bOzhY7BpqKG/ISijKD0xMXVpZ/ScymMtFPGC7e2Nnc2duanRkCyNbip32H IK67s355eXb3vuRcyJ/HJ3eJ+idnF1fWt/4KzYc84Mr6mquY/YqCQjQkNxyS CS9IjqX1RciXw9LzGH4R2qYKT3+fkJhgjNDrRzfGCzznOe6S4fwJhvODG8NN 4H10vACTQ67sHywkF+a9IwvpvgGl9QW8AB+iJ5rnT//OmewZmjC3tPL5lt4/ 2FVGcmly56A48fS8YXd3YmSqc2NrClJCb00urY72jxk7B1qn5/ouLpYPj+Z3 dme1ei3DT51UmN/U0bS+NVdcm0qV4cOS1b6R9JfuxB+thU8chE8cBQAdIWRQ ACA9duS+JJB+tGG787wZ/r5/e0OtqIci4nuGO15T3ULSolGeTCsm/nsPWwAj J+dnl9ZWt3Z/C//hHyEIQBqemnHier8k8EFbvCULn+FxDnw81pv4lkqDodGt ND3vKAKMRCXUxH58tdtZGy5g354zw0ArXoG3Fzh84Nra8u3RUNITl9cMK0mk ENYyXX51cWlubWNlZGJubGqha3D0pbv4gR3vRxsuQkkKMNI/3jGDovMODq+D Is9OT2sbizJyI0JjpLlFcQAagSMywds3iNFmqLsuFOT8D+aKjfFpIxytBsnR 0f7nHcDOzs7m58fm50bAxL6zvT4/N7qyPHuv29vXIyfH+2urk4cHkAm1s7NR pytcXhyYnjJWNhaV1NU5cRVrmxs4meKBOwOGRizIWupMaesZBN839DS3dtWf nJwdHh2uba76Rcu4fhiphoQW0R5B9HHs4UmITPIOOjXDy+XB4Z48iu8qskJJ bTFi69SCiD/fbvWzt+sc7Js2LVzZAc8tO/G/miBPnVJc5iJ0CklTM/0FKKnd XYAkh1isQWsK/CWSQH+OSp6YmdrYVLgwP3R4w5d+bW2xv79d31YO26OLkTQi YEMxPGRYWpodHelobMhpbiqor8tpbswfG+lYX1s4gyOMNtYXe3u0i4tTZ6eH RVWVNnQp2cv3DZ6ujE7Y3F7xS5SwAwLUyXk8DY2ixHpGcIg+LhgvO1Aqkq/L B+bbwjpodP85bHLftJyfH2k76jVpCd4xofPLi5/62sWVQ+/23nZaRcbIzHhE eqC74ENWWXJNfdacaQI0nL6t7FOxvYhS/e414W7WZhyxI/qm5NX5RxXoDL1j k+PVDflOJG5AVKH5do7df1dB6qF7ZPA1DX3H38aKgRWH+U0uLBydnNTo2lAC 2d8cSPZMMUYofYnnvCPxb668j9FsZ7bYliZwF8hNSwMwvdWlViejtOjvDmRb OjmvIj4mw4/rRyB7q/6nFZqhDPtURDCyMYxIC+SpsBylO1vJl4ZF29B5f3fA e4aGAxRU1VzdoNcOjXfE5WQMTnRv7wFQO7q0MrK7NwNrlsASswVOuP6a51iu Ki6Q5s18ZAfBIYQn08IlDqXrdeJcZu91YD50If/DipldVZFWUN9kGGzv615c Wy2orx6bmUovLxqYGP1T2+bXyMbW7isC9wcXKhzLxnuCAo1Cf0slPMczb4ZB PcdxH6OZ/vGZ+wfXIcOfkBPzxRLM/XU+MNH6hvmeHUDPL43XNRfW1meLQrhv GFZDU0NgqTo9v47CSMmvfevh9YEoe+LMv8nZDg5Q///nJa2ywWi57/r6Unou pDIKi4VS3IbHycAREu2ZnKFZhpP0XXHp3Fqsf9nO5ZsfuXp9bWVlxsnJ4THs BFjR1KaMSQcnbmIBQLkPPRiRmUV+cRkYT//dfegLQ+O9IUne/jHegXHekWnK 2Owovj+U05mjJFnTuP9pQ4zIhLjrb9q1l1bm8yqSNYlyv1gxYg0BCxlKalPb Vn5xn+/B5wVc+OjoaG5+/DdHLuwdHFXqDFpDV2BiFj8oqn90GlzVtDy3f7Cn ba+iytxaOtuu7gV7R9xwFkXw0jcb7P8zco/t4/y8ormaE8RAS21w90fWQ7lr hWpcckZgfkFycFx4YEx0Vn5qd2ft9PTAEZwoHKybQwOtpoWJ8bHuDn2FxW0P nIBhXleXU1gYV1WZBtBRozavtjpd11Q4Pta1f5Xl4YqUxnx4eLS9s1Va31BT kz01NXh8erK7fyiLEjP9aZrUQMRbjKL0IHg7OwvfqBKVC8vriBfx/5WflaMb CpzPD0nQEGOzY94xMndPd5wcpYrg1tZlIF5GoJVBw7Xfx38C06TnTk70fKw+ 6h/qlarkbjTe9x+41liWKsQLTM7qCNETB7pnYPrq+sKvzar5LQoyYYKlHwlp h52QcVZM/Hsm4QHWUaCWHBzsHh0fU32C3xB51nTJIxTrJRxO/gRzyxEC/PmW xPcJ9id5eoXFasZGm88g4nEkhG1L39v2nip9TaCmFScZeho2t9erdB1zi8v3 FgmZ9Opay4QBFGUUP68ikeOvcOKKQ1JTqnR1k7P965uTkAe4+WBotP0f9oTi mmIIDsE6K4TS8+x08exs6ehowThgaOtueYNh/uhMfuLGeGTPu7lkIwDpiTPr kQMXoKbnKPpTJ8EP9lR2oMqB5N/ZP9w/PnZ0dEvB+FXZYZHloExXHpIRNrM4 U93a5sz3htgF0WxYrceFmXVZz7CsO+FOP7iQvMITz35+D759drpwfGTq6K6O zlC36oq6OyohMg1DZYM2V5MatH8IO/BfJQbSdQzYUGQOVMX37zl36vmRM/eZ m+Cpg6i9CwqzOjw6WFtfTssJi0pURMTL4RS3lxRqYAxGxnuvb95Kco3IbdPD L2+Cb8x6jpTTZJpah+OzzPAgPQWr0ckp+IQZEPD/vnFTJ0PkG/1jk8trGyen p03GXp/o9MzSNImay/CBIhqEAThxEFkYQJRqiAwfimdo1MLKusXxb2dva3V9 qa69gunrQVW4uXtaW6gXXcVWOVUp5l+g0kHk+Pj4AiIa3VxaGd/aml1e7jVf bJgvjn/+lzceGLysba6kF8Va03jfOTNAH/7f1gR1UmpSnpqvwqmihZ5qnAsH F5JW1NpZV1ybefPXoGYOjw4/rsB/Y0EeMKsqSRLOlYRxSArX2wH1V+FsPs4Y mQsrEDc1MzDQ11xUlJCendDT3QwwUpexZn5uBECd0WF9W0vR6EiHyTQ5OdGL 8Kzq4Xym4ARAo9LSxIKCmOqqtKbG/CZtXn1tJnh/eqr/+NhS59e1fXZ2ipD/ T8zOi0IC55cWy5sLKnTFY7PDa5urKSUxvnGS45Of3Zr9X7kln5++wNw7vTiT XpExPjcuifD0DGF5qilcfzzfH5+UFdjRDrniA4x0SdFwjwaptFUHMUbeuSxo SjA/R8Z7BkXIZAGescny8DivyHiZX4iXDU4cGKHJLYq56Rf37yqIDie/rvJ7 D9u3DPwbOv4VFf2E4PKE4OQbF1Ktq9zb39k7OIzPLXqJ57zE817cR+d7mUQY DUEmgJGys8JyciIOD2bgMH/Yj9q8CwCPFVXywJ0UnBSy9zOZ5qCeMDk7MmuC MpWblucZvvLxmR6ApsF1kJx95ou1g73J7LyYt0SeUOVbVp135ZK0hqit4Net 3b2ZienBjPxygpCBFuOeOPEe3FZrXOuRHLhP3Rk/WfOtGfQPRFFkcmW9sen/ eepUpe2Cl6czKAHuVzaokSHjl+z/327/tOHZazLUNe210Tn576miJ+hL0ydi YoNhEviT99CDAfuMUYkKEcJuce8zXUCPfDw709fZUdnXU2/UV3R3VEH8ukj4 Azh0hSODrXd0BcrIjH++Z/1kw4Vtl7dq+IEt94WHSB6SNmeCkM/IWF8YjIhC Y+5mvA2Pl7V11B3dXvLuPPJfWbIqatyEyvbea6747b19krfme2cKRogGcEgU CPFqiq7Io2COTYIykt07BFEuIJtQ0/JcSKJcrKGCtZWscLXwVMMutfZ0FWbq E4EtFrlq+qMFU//2zvzR0dwZREsFk6FdIHETv3R3iVyqUV+lCGfSvKkOLJY1 jY2XMPn+FJ4fWggeIQCHFVFfEcUB8WqeCi1Q4VOLywcnxzqHOw+Pj3wT/Aq1 xZ1DXWtb60NTQ6d/gfhxpMaGJvsho5XClRWIvwmQMF5ObmI3tJerh6fNWzL1 DZlc0w41/fb2hrGjDszMtbW5umaIK7unq35pcWp6sg/RHY2NGk3z4+1t5Uik vyW0obEhp7govrQ0GcCkhros6NP28q7OWtPCOMJOcGkx/zmVI9gWXc05f/VR /EXkFMDRUwiOrm+tB6QEOopcFLFyqgJNknsIAohgZxGbpgQAyfAJ4xqUna29 HG5o6OSmnzay9dYbG1QhHACNLBlSAEbSREpDY+WBYbyKui+WEO1rFuQBZ5dM kTlp7iKcPcvFTcxQxoeVaKtPTy/pa0wrayiR3zMs647W6KNwYw5Yl98Q+QZj 9fh4G2zt2oA0OcfLkuAoNw7ZP0YclV0YmpqwCHmD3I1J/JRUarP9YgKN/d0T s2P9o10XMHUAgEB6Y40LW/gUA/mpPnSn17fWzc/3toKmbyvd2Z3a2Zsbmeyp bqmLycqheQZKAj0pEq8frHlwBjr4sOc9tCiUbAWPndiPHLkP7Di2DM4TB6Er XeXM8XyPkW9uQW42X6cvKFKqta21zKosnA/hNf29NddOGi0i+tJeEEnPYPXR KyL1GY79DJyQaM9wFHeh0l3o97/fo9Up6Refdfbb291qbYaSQUMccXAis9uK 2TLw5t7eVQoh+CetPf0ONF8YIN2FoAAy/WTLfezMN/aPmSFv5KO2jvqQaIlF cXSJjuJkmihxT3+7+SN98h0r27+9A8PHe8Z77CxIzsGzM+PAiANH/prI9+DT AKKQagiWfDEwhRSZ6eMeECuxBALPmCZDkn3YKgzFx/WOaYbpjwUAaWQaTlT9 2Uo+PjkE2xeYyM5kUd7CSuOls9N183Vk3M89KUKmd7AbkuTtqSFL1CRBAMlT QxAHQeRXEjWkAXNk0UleNE810RNWiL0mcF1FVGYALThNwwnmRuVGvmW+JyiI LhL3zkHj4tLst989bvlp3/MxXK1JxdHOwne4Gw5IBB84Xkzm4C7xUKf4Vuqq k4saZGExCFvy5uZacXFCeroaShdSklhTkwGgUXdnraG9DNIzQHlpy5oaC+rr sizmGCjAH/bm7eqs6+7RtbRU1NVmaetzEIqk3h7t+prJUqbbZb5AjJ6wevl6 qvk659JvSxCNfedwF8mPml6ZObsEORHFFCagpK5SNZnvT2D5YcWBJGEgQRXF q6pJ69RXtLfci5GKRob0R4f7y0vT21vXOc6QWaLNUBMSoxAr5SHR0htTtFdk AgSQ6pshBvu/lKVU21am79Zu7Wxa3rEkVFpe2xBqYj8DkABQeYnn/eTGeEcV 6Tp1ZvOWcaC9e8gAMNLY9AAAKnZMz6DYgLKGVNj1F5LPz5w3FwjQCJs7eyxV ZF2b9sK8sbU5mpEb58IWPfBgAVQGMf9Ahj8Omi/JyQ4rKY6bX+iZMQ3X65sD EpP+x3PCjw4keZiPG9P3+/fcR9BiDbsNO7NvruDQn4geyRl8R/CjNee/3zDQ PP/LwvwR1f37BKmc4ekRcYRng1EbmRvuJuI/w9FfkNxeEIgviXREd/SKSHtL JbwmUZGspsIw2dTCXEZZg3981ieDvi8u9mGqpYnx7lZdwb2KWTCRGg2VSH4c 81VLxeaW/ucb8scKup9sIG9tUO3gUyR6rrffEJeismQmuj7ivEJiPLPyo2fn J+7FzwvLq0fH13pdhIv+LzvlIirNqflFO6b0EYpjTWPbMRlvSSychAq2kAg6 EsInkiCCdxhz1jSF/HB8bgTnZe8u/vBxEliszJ4ZgBuZHvyMF/TR8eHwWM/g SMfx0SyMi1auGclggHR6so6QH25vmfb3TVeMVfcLHBoAqfQLqtN4fliBP04Y QBDeAHhcPxIASxI1BJk4fmQrCpiFeCQJPyRGIlOz5KF831Cul4ZNVeCVsd6Q w39x/OfB/1crCJaw/Pl5DR74FABdgg9MKg5lFXF5R6E78XEYLxdbFkkaIUy6 ClsbGjSUlCS1t1VMjnevry8ND3dWVqbn5UVm50QUFcXVVGe0thQBjIQoE/Rt JYiWGEFHLboiC2EOGPIjwx3TMyODg4bmpiJtfTZ4s01XPDzUdkW+av7sZHnx lx2qf5BkVqQRfUlgXyAJYRfWZHBDBB4SZyE03i/zMbGV6KBYsVab+yklUoe+ cnqqH/FJuyFIePvWweFhWW1TYLjIspMFJ8FREk20Zn//kiDxX/Hcf7ZcfLRD h9c8iwMkdNLeO2jDkAKMhNA137GvAXT0DycqUebH8vV/6E7Pqy7d2Z1JLc6v aKpZWZ9MLyxzZTNVsTK2gkjz4iZmF+wf/KIw+fMrrwmwTW7Qd/WPdh4fzvb2 VDsxBQ9QbCS5xmM024EpEvv7ytQqrsK7sDL35MQ0OTcwtzgSmhrvzKLxlAya lPb9Bziiyp4PYSRH7iNHDuSYfa3i4EEACbxpz4WjroQ/vOe6sRULK4tfufNK W28bW8N9w3j3jkaA/LGhvN48S/Aa5IYEWodIfE3BvmeQPnBs3aTu+fV5mztb n7ogeNyBfl0vgMpbK/29Ta26wnsHF5gb5+ZGkB+Yr5oyNa/uJ1veo2vbJf+h A/cNytMa6wNgpyI0c2MbCgBcWVvMyI24oz6ypCzxD+Fk5UdZyoMAuc7BUZZ/ xBuSsMHQZVpZ03V9nC3lLycXlw5F+y585VMM04nNAHCIIqcAmMRSkCVw3mEw W2LFVIyIxlfhZMGkysbSI8iX6Xx6YSI4TYmS2uJuB0ARvJ3JPi5Eb+fJ+THz tSnt7n1rtUW12kyzef3iBjSy5By/ODednKyfn60eHc6A84vzzY/XzYsrGjpY HwghKGNfC0eJ9o6QeGoYogDCDQ3YVfZkJYkqpzix6W+IvBA4IWBorJc6SqyO kkTGyYNjZeGxXimZms1vJIQc0a6YrzWilwU+PT0Bm/rTzzp4WDRIjvzXRIUT 3tsZ4+XmwHV+jiP+HztMaFrhyen57v7OBRxdDsRkmtbpyiorkjv05bPTA/19 zc2NhVWVaUVFsXl5UeVlSfW1WXe0xMjRqitq1OY1N+a3tUKuLI0NOXW1WZ2d jUtLc5OTA60tZY0Nuc2NuQBczc4MfeVRov8egjT92taa1qhVxUo08dLgFBVG 6ob3dGAoUCipK8kbjQwZsNGQwHkHwpLknwphQ7it2ltKFuaREKRbTp7rG8vp ORqw6QBzdWSCLBymBQ6KEKnCw05O/nJtfXE1X338PpC4vDJLMos7lrXHKBZK KJMGBzuwpdGZ6RHJsdrGgsrGKqIs4G/W1PSCUnV00j9tiM/dqU8c+D9a8/7z JYnhpV5d3zqFR+/PFmxkataRI/+fVmhpaFidNj85PRotlP3oRn+BQ0h+OK8J PCsyH5Ttn850D5Ev2SfwBY5dUZ1Trc0TBOAkGhxRQn7hApt+ILOa4AWWgqiM 7vFHujIJgS/bMOmxBWnmrxInI0Vq7GzKrc3b2t2sbGl+iqO+IpFfEWnPr+iP LukX0Oz3VOl7mvAJ1h0jI/smKNw83RdXF82ffq6Tk6ORYQO8v6gAm8p7jNew M+fwUDtSFvOVPjCnrBGpPShg0J73xB0ANihJnCvXN62o7uj4BLnp7u5WblEc 2Il8jJHAOzHJftFJyqkZaMCewskytnb33AS+f3ckPXCj470CAVB3FfiubW6n FFVXNNefn0OXtWg7/1IB4MiTag0dVDmkXQEQQqohIMoWC8DgqYhWFM47Ch8r ofpGKUC9maEkOxtppbFMPzTRx/kOQGL5oeVhrHv95C1ydHQ0NWME8zSSCuHq gNz/AEA6OZ6/OF+EnJEu6e5XzVdAC5lk7virINpC0/LsxMxota5SeAMdSW48 CNsXUiV9oDJInvyIeC+AjkJjpRo4ISA4j0rwlgcxiuoL/tAK/0PFONhu7Gqs qcpKzQ5JzAgqqc85gn2h71W8gJrsHe0KTPZ2Fds5CaydBA7e0Z6qBHlaSfXH 3DWILK8s1NRkVVYkQZqi9lJDe1mXsQaMZbBK1tdlNWpz71UXg/EOUFBtTSaA RsXF8fn5UZmZIUVF8RsbK2DQzc2Nd3XWQ5FuDVlgP3V8/BdSLPxLBKnbiflJ kpJizbX1kDjz/PFQolIVHjJJQ4gIGS8EQSCJocQxlZi6+qyPPZGQtjYaKsEk PzJkOIQI4m4ZSU9Oj/NK4hMz1FGJkIe2r0asiUICjSUZuZrz89P/28qIIBhm emEJzhSPRELdYdfhWJG4Eo3mMZr3AkNXxwalFSQFxkmsSfjnbpxnHlQftRDn hX/swnxgK3jiKPz+AxfLDT04vNwincET5r0eF93DY+KQeGu6pytfEZ5e0NTR YxwYcRUqHTgyrETx9Mrkh3giQVk78dyHHky6QpWYk5aQnagI95EH05RhbFU4 VxXGtyOyH9vznrpw3lDwtyLa7HmPYMXRI4dL3p4HdvwnjoIn7kSJOm5haf0r ZFNHytM33u8VLSP4kuOL4pj+qkce7JcExivIoMa4AZBY76liz9BEbkDsMyxT FZ++sLz0+WubYR8k/UeuRxb7WgusVtqC11BLeUAt0aSR//EcwGDhYwfBMw/+ MxznexcqNyAqOqe4qB5Kind+la7L0KkNCOVFxntfhbCBoSdHItqSMjQdXU1L K9fkeNt7+0SZGjzISzzvEYoJrikKjiHINN+74l+ScEy/kOSiSuSbX5sj/R8n yIMeHB4lFVaHp8dwlFiJGsIPV9MjrHu5VL8AvERTRAXlVjUivwXrWpWuGCO1 Jfu40n3d8VdZKvDQ4eQm/qCIFZ/C/p+fsomcn50dHCxfp/sxr+5uTywv9h8e zFyytt7VLO3esZmubKyPTE+llxcPT02Zr7Vh217BNIE/DvYth7MB+pAtYA+A JUEAyUNAlQRRQmD3frC3DbvKBhiTqCB4eYTkRM7Ojk1OD5u/1mUaKdXx4UFZ XY7WWAu2AAPjvbquhurWMifhW7K3syKcQ/Jxwcoc7Lkvq1qRXKKf20XW6/U5 VVUZlXE9I113bnXzpsh9Z2ZGiorjy8tTWmAPQwCQxkY6DXooBAOysn3Etwwm AcT61qIrqqvJKi1NKiyMKyiISU/X9PW1Wq6/trY4NNjerM2dnxs1f601/+8h SN3m1OS6SFydxC52fEcHgRNJ7gGG/03PQ74/zi9KMDY7llaRkVWS0NF+FyAB VIwwAOzubB4dHSDXvnkjsCzvH+wZe5p4cpodQUwVq2T+vJhEOdjYqqNimvSf s8L/1eTk9LRKZ3Di+jxGswAU+cmdicAkgEzeEHmP0QA4cYV+vi5MsQdTpImQ iANoPBXWK5gkVFF8wnzYCn87EuOJM8fCGchTRus6+lJKinQ9+nvviNj16to6 g1PzhidnLVvOheVVklyNkajeU4VP7/OGeoJh030D3YS+aD43JEoiUXopg6H4 RFU4TxBAeOPBfUOgPEfRHtjcsK85sR/a8R47cZ64sG6qlZ7Yi/6/5xTfyGTz 1z3k8+sLX1Bf2vOwz/FsxLj2gsC4ilyDMBKCJBl+YTE5JSy/cBuGV2pJ9ekZ ot6/ezXwpHNzo4P9LXAWy3vUR92dtRNj3VfOmbfssAOjMxB7tivnB2faP5zI diwv0FuCkrKRLyL3Qmqyf9AQFC4AoAgsbepIEcywIfQLZgHgtLJqQlYEMPzG 5ybLmssm5uY8hKrHKNDrYHyO5z7yYDxwZ7wi8OCgPH730HiRtmhoEloWG/Td 80uf0378e8gFXJ/HJ6cMZfh/2ZHwEvpd32xId0RiKsiwAw9eEoSLSPPZ2lmH f3sxPN7LUmExsuv06wAdgT9Z/liWH4YTSPiM7gIRAHh2d6fNcKQqOE6O55eX +qcnO7Y2Rj+yuy2dn+/AVzvf2N5u6RqoaW+l+fk+RjEeeJCfYlgpxdXIAO8Z HqB74/n+VNhDm2hDZ7ry6J43ngt2QSepo4R3HNggzX+k2DuEW1qTk5wZPDWD JL36GjvAZbc8v6huLCB4OwlCqKIwhrPwraUtPKS2WDjxvZvkfV5tuvnTPfle P73PoCnEYNrR0ZCc7F9TnQHFgOuKwNHcVFBeBgWpteoQZ6QyCzqqq8uqrcmE lMnt5eAj8AVtQ0F9fUFvb6tWW1RVlTk62n18fBnOc3R4sL//tZDo/rsKMiSX 1pZYao4119aO7wAwkpPQCdYjkW4Ypkk8P2w+TNkxMKi/mU0PCb3p6ao3Gioa 67MWPmlMh260sbEUn1lYWG3c3FqJSooXKsSR8UJrDLO6sdf81+CK/LwgY3Nz Z9eKIobSrqGYLjxvipfPawLbmiaAUx6wRf7ezhyat1oREq3ECykEriggTO4X zub6EWwIzBfO/CeO4h8+CCzMgY/sBd9/YH1nxfqvd7i3REZeXXlIZnxbXyds Mf+kZXP/4DCtpJog0zxwZ73AsT/O2olkXnDmePpERD5EcV55cNBsLk3KlAbR JXDaBZKE/sqVa88mPLDjWhgjH9nzHjlyHtgKnrozHjnwAHCCItocIA+lR3aC n2x4VkTu1s62+atccBHa+YjcqA9ca2u2hwUU3SCHhNKLPHCn/dOJ9J0zxZru GZVV1GDoVifnXBm8bl0QecbVlTn9jXnyzo6yVVfY16PdWF+810EFXLbJ2APA mHdUsio+Y3ZxeXR67s5eAzmvayr2D+XGJCsLShMT0gN17dXG7mYkwP/S2mu+ YKrZr2ivUJ6ixyj2azLpGvXBMAli3yKLBiems6ozHxOftfXp8qubXxMF06al r1Dp98UFWQq7hvtek4lvSByMmHrTtxkcnmoiz4+E96QyFBQwW4Id5fL6ouWH qaWxToK3ZF83xFUbrMjOwnfZ1anLqwtTcz/PiQpZyk6h4DUAjY6P5kGvATBp d2cS/HlHfXRxvnh+vtk52OcdHe0kpL8ksH50Iz/BksEQfoGDLONvycLF1Y2F pRlFBC8hN0QcRBUGEAA6cmAxxEG3UJ8okECRMX1DxBFxt3z7NVESVbgwIk4O YHZ0ku/2ZaTJV9oBDg52Ozsb93a2JmZHcDJHtNSW4OMCY9QrVR7cIkRvF2EI 7fDokm3sU1dDODN/YVAwGBTb2+sGQ215WVJdbZYlnB8smgAyFRXFVVWmNmlz 4AD/MiQFSRWUmi2pvi4bfBNKcQthpGyjsX5+fmJmZgTApJERJP/4Zwpw6dT6 bz8k/zQ5Oz9rMGolkVJ3qYe9wNGaZ4+WuvH98TcBEl+Fk4cyT05Ppif7Guoy oTx68JTeoa/oMtbu7m4eHu7NTA9eqY/ukTvtdXpqHh4fr6jNrGqo/vjTv6wg ZovQtPz/siO8JvLJPmCDNp6Rm2jPENDl3mi+jCoUqaP5fD8imk9h+xFE/hRv tSg6wVsRyn3tzoGgkR3vTug37OQjeGIvfuTEfoxG/dMeVQKbYG6KhV4Dmc+P Ts5C0wsj0zJC4iODItXvKfwnmI+C6bCQwzbPz58klQdFqIV+XLoCT/PBC/zJ 8mAqy4dGl5McaPTvPwge2/Ofu0IJR16i6VY4xjM0FQAkULCXOPIrMv6JM+ep K/u5O/upC+eli+fy2qb5a+0PRydHFS2VvolKK5bTKyL92vsIB6ARwJCMH13p kpCE4vpmvFfgA3e6KDjuM1dDnnFvd7Ozo7odsq/d45PQ293QBaf5nprs/ejn t/48Of2Z8KWxyYHZ+Qn4m9cuqYjfkRmyHx3r+zucRB5gMQXw7z0TfTNzCkS9 hWLZsTyFYZKXtDeyGGlYeh6A8VU6w+5fI8LiDNYB1unbn+HQHnyBE5uJ2NfE sDVKGEjAiqmuPNo7MvMFnveOxCiu15nhTR8ia1ur/GCKA+8lzsue4u1Mkjuh xB8K67N/ya0v901bs6cnABrtQBRkV7a2j+1r5+dLZ+frUVlp/2GNfUGgA5T7 Asf7/9v7zq8mtvDdv+reD797P9zTPCoWsNBbIISE9N57gIRQ0oCQ0KSpNEG6 CghI771I7713OHD3zEDkgJ4mKOo8a1bWEJLJnrLf/bwdiWYEA/vVlwFuHDhe WW1heW1xzPOnAVK8M5PvzGALQk9S2M5yJF4ISRxGjzxjPoqMU+gtMsiOFKeK tMpzCpI2t9av83K8t7fb2FSeX5D06nU6U4vzV7kh1IgQ6EFR+1CCMf5K6B2c 3KWi6c3xJ0Ll/yuQiME/3vc3VVVkIyUEkYKBjfWF/X3Nk5MjLS0Vb8syqiqy 6qEoxKLmxpLqd7klJWklxWnlpc/bWsuHBtvAd4uLkmprigBNOjjYO3f8i794 5o+jf9JNDMWngFy6ybmpgGCiu8iLF0HlawNIgX780ADRn9M/kTjtZ/nxExP9 EyNd01ODQO1F7vjc3Ng//zlbe8SrPK1vGCfRDru75Q2tj2iSvLd1W5sreS/j UtKMKU/1BYXP01/mRMbK9RaJykijBxE5IWSFnqqN4oeZhS4kHiAhtzwEH6li fcKUhI4Elb2/oKalY255fmoeKld10UoM3llcnOnprq2ryohNinaiCe9dCBe3 GZF+xjB9eLIgg4omZ7KCSaJwCvLYyPRklZHC19Dv+fDvePM9aayfnIRYEdlH QrhLIt50E972Ydkz/XBSoT1O+Dve24VHoWtVUlPktX08wKi2d7cl0dJHHCdv mZcTF/e7HxsxHP0OuUE5xGC2IxubmJt+DNl29tIK3tR39IBvHXzaUoecKZhB tVD/yoJz5iMwvwb6GqEjHOxvb3/EnI4oirbjXLx0SDWec28Chaiuoy4pP9lW vn5re0dlTqGpgzFyHzehl7vI4wGNfOdPreUgBmhPIf/uR/GS+NtTCQ8ooqcF pXh5mFBn7RsZv7Z37VKAnN3m9mZoYrgLk/iYyqeraIiXTRhGZgezFHoaWUn1 5PA9OSJnuvARnZFdWvAhcwpetkanhuJfRMZl6OPT9S1ddZ39zavry0f/oMwU cmFnZseXlnu7e8sHBmsOD2f/bDWaRcoiHR5Mg21jcyQkLv43X9Z9ovBs75t7 RP4NLAsvD9nfh+77zt6Br1j7iw/zMU3+gMzz5rL42pMYJDB5T71spJAofnR8 4MUUyJiEQKWeMzw1cvwJ99P1QWtzZVAMP8QiikwMZGn98SoPwIgIKg+aBqsw MkQRFFKwN1burE/VLK8tXe6TbDvUyvJcZ0eVzYIE6BDgQqMjXTvbG+vrK729 TbU1+W/L09+8eQa4U0tjSV1tYWUl5Fbr6W3e3FwbHmqrfJudnm4ChAo58Kd+ cf9gf2RqaG9/b33zQ4lgmxBAc///AyAFZ2XR8Mxoz3DghBDAgnvWv3YSs6en gTeZwb7sCFZrfzu4zO8HmjvbK7s6qpaXTpJ0/u1zBX/+e5arn4np+cWF5bX1 tYWc3Pia6qLn6aboeEVlbUForNaSqIkwiyQRQERTFXoG2BGEkhz8uDdcRTfB 5i646SGA8+ht5Rmh6Gj7AMZjNukRi+jO5f3qjX9dW237raWVBaQ3IphBm5vr 5eXZle+KS96WasxmDFd8MZ/OllXnQBIQJEK5nqE1c41WidoILRYKPR1sYGxK E4kgYHgxWI/8eff8GWCQlCDiXRzjlruEEyR05fhTFHQXLimn/FVlS8PI1PjY DBQtfD0fCWRUU/NTQfHqxxxnd7E7Qam6hePZ4Vl+kiCwGHny+aHJGraOnVKY 9q+OOT8/UfPuBRyGdFJQF3ZeQxHaQKj+cRn1iifnp6LSo9sH2sF+dXvNA9Yj B+ZDTWLIm/qy9JJCX7HmPlH0gO7rJnL3EHs483z/zI6g7T6JCV4f0ul3yQQP TnDU0xwXluIWHJTe2gM5ib5jF/mJM3RlkR9GByoAPZgI9EdhGESQ+KEkoZYf FacKj+FFxkHeqMjYQLaaoopTXTzCxf1/hfmF8bfVRVPTvVsbcAOgMwQJzvcH NGl2Y210dW2aG2b6zZeJlOb484Tl/+rLMKVmr8N2v5C4tJdl1QyN6X/cKE50 uiiMINNBNjGskMENocgNZL6WrIgQxyRA1X3NZ7IgwX5wpEBh4NQ2ll5PbnwS Jj0zEp2hi880CvUUH5kTJ4zADsXjVe6AICEcCWy8sIDASA5b6x8SL13bWL26 JWlnZ6urs7q2+mVDfXFVZQ5Qf5CyHtNTg8dwwYHh4e7S0sxcqNtIakNdfkdb eWfHu7FRJMQLiuNdW1sG26fO9wj6iU1DcjBJjZFFc8A2NT/R0tuAuHpR/Gcg z8PaxlpMpkUQSkTC886E6kFyQGmka2OEUj3DkBre1t9+Vm9FcRWw6ZX7+3sF Bck9A21Li7MpWZFMFSbqSWhFTbEhXiHTUSVwIGWAgH0PI7DH8u7jWPcDaHf9 GLe8eLY0MUCNbnlz7XxZd/yYtzDsn5yYjgGB4TEvNja2Dw8PrdnPhUYNuOMZ BfGIJnhwCBVvKahs+MWH8asvC2lr8qmmJ050EUellGkkQGxGxChflWVHxMmE UGrMn0JYOWoKJwQ8WkSgnAq1NLFaFB2neJEfHxoXIYmK+KpX+r+goauRb+SS goU3sJzMV2VAaxsan47LzorPid/Z3dne3QYz45/nHQBqChSNd5WQmR3IzNpT U/z83PjB/t6/qlR8dPwh/GBrZ6t9oKOlt+VlRV5Eqo6ipTlyneUWpcAkcua7 ekkwjzlOD9mO92kutwlUOwLHkUXwELu7Cb3sKTS4uxzvTIM5KCL9AY1mTyU5 0uQyU4IDRXTDl+nGVvYMjR7/AKIAyRwsfJNhjlWGW8SiUBpXzdPFSMPNksg4 qIRCNBTJrELIQ6hZDJ6EmcXZc0ewuW8+atn7xziEuvwczZ53rh3Orm+Mr66N FVRUOVCEdp+oNGtPEv5vR/9AS8rh4R/7B5BOlPOmSmVOis8uSsuN9eaSHelc T7bIncVlqWn8UKI0jB+TEAjOLjRa/CGRLU5psMqNFumL/CeH17LhyInqsTAl 1dN9pI6kYAwRbilrC88mwHYkhCaRgr1ZGr+G9srjS3axnQwDUKDWlvLG+qL6 2oLqqtzmxuK21opXJc/evHoK+FJtdU5ne6Wt/OPU1Eh1dVFBQdKbV2l1NS97 u2uQKvr/5Idqa0vowT7+Sjd/hSs5GMPTkb3ED1NeWrvet0U/jyioyELqNV3i Cf4IQCR5XE48LYSqNDLE4SQkxx+JPhKHEwOjhcwQYoAK6y3znV36uF8GxaUD Uc22tjcbWt4aEpXltUX9Q11qM18cFqA0MKSwoU+hZ0ANAgKpWAHtIY1kT6Le 9aff9OSfqzsEO91EN5zFNz255vRnZ39Fl2K54e9GCwyQGegz85MnHX+g2p4b NJXGmSF9SBHeJZy0Gzu7Af30AVngQBbgBYDqFNY2lavNwc9yrGBUonCi5BzH 1hEDjQxtNF9nkRis0qyX1sHhnsnpkdHJ4ZX1NSgG9fDweqqi52Ab5Pbululp ogtLurWz+/mH3dvbeT/QPPS+bWF+oqvz3cz08MbGx1XFfwJkejb1NONUeHeR J5x84YFV4jxEXo+5Tk48Fw+xF3jfU+ztJfV04eGhmwvFUPEcqFSoYQpBZIfn 2JPZD6iUeyS4iAGeD/4Fttv+fLDCIg/Ar760MrjzVGtf2+dfgWsOhCAl5yeJ QqnxT9QIF4J4UbzKluQF+ANEIWKVSgOHHcHm6Hmdg53Hl8ceEYq1vb2+sz16 LvoIzm6bOTicHRhpu0/i3zrpoXzR5Mv/3Y9FDTJIDHFIjaaztRpiM1/+HzfK nQCqIwP/mCrCy8lyPTMyTmFNDOZqqaRAAlIp4jSXLdAQIxkc6Tm+lsvBaQbE ZNYLC0ODRSKxYUYERR+Rgrxpal+ELwEiQVX7QnHaap/Rv+uL9x8Gcgy1ZlsE k7rmXU5DXX5lRXZVRXZTQ2FtdV5hYRIgQuC1qCCxuCilte3dxsaJX2xpaa6l pRKqKFCUBGgVoFhI8bG/GBtQptKzYqhwRxvkfLFyZ2YITmlk4RSulCBvrhZv ztBd3qn9WKjranTiudLV/jI9lanBc+FgJD+5D0Hp66fwcxV6POY6+yiwi6uL aEr+l8HJHF+aiUxR55U+15gFKhPTlBQcHieDGMhJhTeK0kATaGl3fTk33AQ3 XEU3XMS/n+sSC5OlW5682z7sO/4UhkYTn16ki31hiM9d31iTRQbfo+KcOERH DjEgkKuJkbR2Qa639c0toiLsMU0MNqCN3sJxzkpaO1jYAoLky5dlZpmzc806 q0yk9Rdo8WCQgGYj1q2TBB8dLcjINsXKo+OUpliFKVZpTQpJSTcaLbLuvubj y9bavgBsK8Ls4klXnT/+QQfJv8XnTCskumBtc20XTgSOSNUJI8XeUh93oSfE hSTe4BUhRQg7goiTyNOJg3Nk4eEIc9gdgxfcwvF+xlAxEgYhiHyfTEHeRzrN IWHbiGkCajqDZSqiknSpBuMz02cO/vrjpMZ4b4ufAkcOIhisspiEj0TmQCUU LLKwaJH+iSa5IHV6AarPcLlX5uBgb21tZmMdcKSTIkjLi71zs70H+4BRb0zO 9jhzmHcInI+6xcFd+w3LZGhMm2dC608DyY9e1TSW1rU097TwdUYvPlYcTomK VYA5Sw7E+8h8QiIFEdFChBDCTEkVl6xd31i99BO8LJz4xOcmeBEkb/HDgKAT nxrClLhhAVIDDfAHf6UbIBKcMAI/lPC6tuD4ykKqAFsDVKeiPDMvL6GoMLm6 Kgcqj1Od19BQWl6ek5VlTkuLyMqKGYOqtp5cz83N9e7uxv6+ZqA9wdUF/+pM 11aX8l4mCCPI/ip3QJDAebG0/oGRHMAGAQlkhxGoQZjaxjf7B3vX0+h3PQGF nm5vgou2vjKnjg8myD05IQGADrkDrRPSPT1dBB4YmS9fxw4IDrhLt39ZkXd8 7aPyvhsgYVoxaVpWkI/azBeEEoRhASEWYXA0FymBKw6HGidRZYxfnUS/OYuQ Bh/nbEe3vLi3vDl2WNZtDPeWh/B/7BkOWLnK8LSwrElhDrtNwjxiBTxkEh4w CPdoOBcOFi8jdLyHHN+jU7Mxz7J+96UBYevKUt4nQukwd2HP2k0cB8uXKnRa c4IpIzMazOvK6sL88syoZLUhURkSIzhrQdJEctWRnJAo3pPU8LRnRiBdTVZZ iImbnGFCDEdf+zL/F1zBsP/ktv63x0caKBTXlBDV5Cd5Sb4Kv8dcJ4ggwVzo 3IbYlDwlXvYU+m1/wYdUNX+OM1PBizBRQiiPmSTwL9h4yIdCki5EJd0hCO6Q /JgR9Jy3Odu728ffggHwPwPh8P0DbWojlxIcgJFg5Dq2+WJx8hM7kpKtIQH5 OXMFBAnB/t7M4cHkwf4U4EjbWxOry1MHBweHB7uDY/3sMO1NHOMiQbKDC8/e Jwpv+LHK61v+Us890qVG6OODkp4bSUEEZhgTnHX8M2NuaZYgnKkzi7UmfoiR A3Scg4ODSz+1SwV0gksr87EZekCNAB2iqn1xSrcAsK/1pwRjJHqqGiie0VyJ jgY40sTMFfmLT6bG8HAXUu6spDglO9tSW1vU0vgaUKa+vpaFhZmOjtrc3HjA iI7/ZY165JObW+thVom/EmJH4GTZWrzSxEKKboGz9pE6Bkfz39YUKq2ClfXl qznN7xNT473dHVWNdQVFr9PU0QK2BucjxXhJMR4iT2e+GyRLRR6EQHx4crj2 SShOha/vguzq35zW/y0CiScZHh+IiJfxNH4yPWSWEYX9yYEl1ZHcqez7Pnwn IsfOiw81nkCisk840klSG2Rccuf+7k2nBKq3dyD9cWKmlxRId2DgHzEJD+EN ZkpE8Jr5KndhGfKlNnX1p+S97h8Zr27uBNL1Fx+wnnJv47lubHlJRenMZF/6 c33pm8zZuYm+wY6it1kKA10IpUD+2cUGRbQGyPU0c2JwmEWqNDDAvlBLMKdo rqFx/l/hGgqZ/tF+vlEIWJDXqdXoIjvylvl4iL0cWA8fswh2hJOKl3ChLZ4r S5VbVoGVcX/3Y90j8u3w3Js41n0S+2xGG/J6G8/CyZnMUJXAqNzZ3fkmPKSf AzAZ9w/280uzws2ikCiROlJg694SGaeIhtuTwS05oDAkhYELrnNTD2IgveTL Al/p7b2dpaWFoeWlgY0NqCLl1sbi7GS75bnlLpl0l8g5z2YDOA5U1m9Y6s8Y GpjC/8+LllsG1fo4a/b8A8m7O+1Ztru3O7c03zvSPzb+vqq2ZGdvNyk/5Tbl bmJG5Kt3BeZnxrLqoms+fxGn5PTC5IvSZ4AkkIK8eeEBUj2dqvFlh+CMyWqF mUsNwjzNix0YaB+eHNza2fr7g37GcPb39yrfZgOO1NRQVPE2cxIqu3E0OtI7 OTmMfAJ8YG9v5/wZ/N3zg3xgfGb01EQG+df44URwvniVBwm2JjFD/CLiZORg THVrxXc/VS8FJ3H+02MNXQ3vmkpbW8vbml61NJYYEgI9xR4YmQ8rnEkNofgp sECWPmA7PuQ4cnRc0zNTPxxXjxqRviRGJt6bkjQCLeFigiHUd1tDcady7H35 vzqLoAamnnwoSNuTf9aUZOfH8BHzcRIFXWkINDxbXFkNsUj8JRg3HtGBcUKQ YDsS3pVPceUFJOcmnZ1Eq+ubnQPD6thUd44KCfUMS8zc2tkBOvXb8hcZubGx zyPMaVooeg1OeDw3SDhUmwJoEmB36kiuwSpNy4puaKmwZZqj+HxYX8QWvCvs G+0PeRIKtBtXoTtYo8+xIzCXHXnOXAO/a6g78rnViefuKsA4UGl3CZB58Gdv 2k/eNAcK34EsuhPAv4lj3yeJiEECB5o/ZC9CDE1E9mlAC+SYA0/C+1Eo9/A7 zmI7/pDItjAwPpT2MsFkkVoSPwTkGK3yiBgpeLUkBFkTgwFxCosLIqnJURnm 4ytm0bu728ODzYODTePjfYAv9fTWP6AK7gQwznIkpIyVI0OSU1amjrN6CQX3 iNzqFig+6vDfiPHajrrqtuqDk3TXbwB/nNQMbyYo3QlwbDZUwDwU/yTdEJdt 4usp1kx9WX2RPIb3siLrC4wHPAnvB1qqq14g1ZUb6gqmTsuEfiZpQewVT4sS fSSPSXDLPyQcnRjo6a90p2uwwVE8osozOTdmcLz/ck7mewfCcDoHuwhBRCeB OzWUHhgjzS9J6WwpTcqM9JZiPMTezDBm7HPDm7LnxicaVhjDXeR1h2Zf2lB2 fC0D875X7OxuW9K0chNfeKHCOZxjSJLqSM5Uxi0fliud7s6g3fLkfcjuh7qe QV42O4zgpoeIwIu2ppS8BZKuvRUjYZICuZ4C4oMzBOkR7Guzp+O63kPhl4eH cI/b05k7v7TiwlL85EW9gWU+oIhqWrvAm6uri83t1YlZplCrmKvBcdXYczYu W6g22EThxNBoQUxCcGNr5de8pt8dgHRt7WsLCCY+ZD/2lvrQQumUEKqPDPtR muTCd5PGSA2p8TdxrAdUqj2FdsOXDeiQ+VkONUh/E+ozAkXz2uE5YEkVm/l3 STiEIN0nM+6RmKeBSfzffBml9VAX3c+Pv7rmQMI2qttq7jMecMOZJrht69kN sKNQs1gazqCqcOFmickiiU3WImbYKyNI0GE31ufmZ/pmproHB2p7e2qaWiof 08S3/bl3zyevCW7jeUWVkPF/c3tzemHuH/3A0UmlQcTXb3v/GxL+yMW3Zhow MHMgqDywcpcgE3vkfef47Gh2KZyxcnS8trEKn+SX4H3LSzOtLWUd7RWrK/Pz c5dQQww5wvLaUqBVhFO4IhHatmQ9mtpXZqATVJ6RqSEqiyClIA61IP1DTE8M VDa8SX+VrrYq3ITuDqzHbiLPkFiFxMhHhKoz3xW8yqNEJW+etTW9evsuTxYl flUHVRz9hubINw7oSU5+EUVXesj0tLN8I9DIDI3my3RUsIl1AaIIIjOE4MEl wen83Ns+bKjf2Wmc9i138f91YEki4l5WFsdlZ25sbfaNDMkjg71EZBs7OjUi EZw4Ab1Dvcdn7jISh7y+uZWa95oaZEjNe9U/Mn5wcIBkvS2tLpTVFmotwoQM Q0nlC12iFqoSc1KV94TRKfT0IBNLG82PBKuJRVpZXYh6aS8RiMSLfREPCBKY s64Cdx85lqShBASTvKSYi462x1wn8ElnHtaBwgALqJ9EQ1CEtfQMEORhgBeB dx5QBWX19YZnuns0J3sK+w6eb09h3CcxbRW2AUG6hWPUd0ApbD+CNACr58HB vjXTotKxzKcR2iY4892SGBSTEBQdp0zOiY14auwZ7untb32aFT02AZW4udLF aH9vZ2y0dWa6a3a6Z366PafouR3+rD8UCswG1MiRLo1Mef6QKonLLPjPv2Vz wH1DgAje8VFlcylW5kxV+7JC8XSNH0byqPhdLvKBr0IVgNg8bbB4CUAiMWCC JMQr3UhB3rZwdDjyyo8Y6CnUkdmheGu20faVy/r17xXgkm6sLeaXZpDVREW0 WJcQzNBSAUF6yHFygnkRYpCHZamLh8gzOiW0raG4sTZ/ZLjr+FpGX3yngB7+ 1fWVxEyjMJQgjTjjvQonA45ksEhNsXKlgSnXk/0l5NsE8j08/RagRh5QucgP XjZ3qOfIL66s/3UP70hQ7e0dLCwvhj6xOrJJj9lERzbRFoZ0l4JlhQeub0FJ Ex+9x+eEpO1JQBrN9A93SXQUttoXMnaFk8RhAWBHGkEG7MholVmfqPVmcUlp xjH6CF02Dv84PDg8yC7LcRW4gZkLdBxAkwA78hR/JBgJfMBT4u0p8XLmO5sz E5bX1sF3werJj7CQA/VN3f0bW1txOXH2DAcnNv0uQexAod/G0277820xSIAp /YJh+gi1TV0Ql/4BbubJGSZnRuvMkpjEIECTjFaFXM9R6dkR0UJ9jCT5uaGj q872hS8Qh3B4eFhdU9zZXjY92TY33VnbVPaYJoTiseHOgPcCBDdxzDsBtHsk mjUjfmNjdWZ+CVF2rnpg1weInIl/EYWVOj7LiAQ3aGhiYGl18QjKPD3J5/qS hOGs3LsUGYgcZH55jhHq7y1+6K90o2uwgA3aOBLscfPQxkpqa4rzXz8fGOu7 rJ/+jnFyfQ73M/PiAP/BKrBUDZkVRvdT4NxFXmdDOsF/4ZAGj9Qca0937RJa mfPLwjZ5Qy0iIcw3bMHPKiMTSGkkcUZrZlOk9F9dxDfdxLe8+Le9uVDK/ylB +s1F9JuL0I0a2NQ+sLO7j5AcIF0xUvbPOFc7kg+gRo+YBCcu+XeCZ/7bkuNP +E2QN/8443c7PjXFIzv7B/sDI90V9SWTM6MDw91aq0qqo4qhbp40U6wsPJKf kWPdRPtQXwEQad/Q3eTIdf6Qy3/Bv3Z2c2A+ZIZzzkaCgTu4tglx4/TXGXdp 933lfupE7SMm5iaO5C/VPKRx7xGZdwMEdwKYTkyW0KD/CeOrjn1y/GPIW+Qh Ty9+FhhO18eIASnSRYvCzaLsV+l1LRXPX1ia295V1Rbv7+99Sevo9NRQc1P5 4EDj2EjT/Ew7UxPyiw/9PplmR/K/FYDHikXGFMAKKppay4+PfsT8bkTWlTeU aKyit+U5W2d6cHxFXGp1rKP1zVWBnhoSL019aQXy1pSgoqp9CKoTRxte5S7R 0wKjuNxQvJfowevawuMfw+r7mYAbAR32j/ZjZFigbLoI3IFSiVPibNLVU+zl p/Dzlvq4wX/6Kvym5iHD4A+lgHxdIBd6Z28vvfilJkYhhhPEoGKeERTwqoni pWean6SG6y0yc6JaFyMVBYnJCq4d1c+Bjr9HoNvqaT8I4HrwBL0jg7YjI5mk dR0t0Rkp2ieW+zS/B0zCHTKGoiICbgM3Ovzcuzw8OcXSCkRhEJ1Tm1jBkaq4 5zHpL2Ky8hK2t680YeRHBCJyF1cXpTFyZ74rQo1sc/liLpuPHCuPUVC0tJTC 1EVYoT4+ZeNjM+MufDdwkN6RXnOm2VuGae7u0yaFO/Fcnbm+DnQMXFjJ3T8Q V1Rd+OPkayBn2t7Xmpxuqml4XdtY2tBSAXaQ/36VjANw1+Zm+nq7K9taywb6 a+am27OLcx2ZbDcBWWIMwik4ElPQ/Ezn3HTH6tLIjxx8AsTd1tYG4K7H8ML3 3fiYkBs6ONydnBkJdjpa38WnhtG1OKQJL0KQuGEEltYfqvikcOGGE+evrPrE d4nV5dnUFxZ/pb87LEtd4QpINrmKkfngA/F4Fd5N7OXEc0l/nbmxvXGEXt4v haMTs8yhKTWKG4KHcsSg4pAMUTjSKzNAZWTFJmsjrfK4lLDuvpbcfCsnmI6T M/1EIjtfNtKj9oar8DGNrUuLXV5bRZocXPwhpcXgwCAEWcJelCR97pgh5n2I ZAovra6oYw0BUrf0l3GzC/PgXSCjpqZH0fy1ywUi8Pf396PSo6XRMrlF6SXF QOZfsddHORLkgxN5cPTcxJdPAuOC3zZBTTARGxSyjHYNdfcO99Z3NfjK/eaX FwARwipwQFfyVWDF0aKH7EcYmW99R8NXPu2vhHMGoqPTnrNfi4EsLowPDlRP TbSNjzZPjLUMDTX09FUP9FVX1+TVN72enmjraH89NNiKGg2+VxzCBana26sL C5LDEuQUNYYU5H1aUtuLDEclQVn/SndDgrLsdcbiIuIGQhfxv8HBwX5dbX57 U0lIrNKB/RgJVwDqoRPQQEUenrB0JWsofD03Jducmv+EE8F81woV0Phx1Mav jiO4I3zYEzMzGCvTQ5lr4WZhSBRPFE5U6GkqA0OqoxisUpNFmlectrQ0l/4y 2YvnZ+dPtMMyAUcC7Oh3V+Etd+n45PzxBWZrc8Rv7+zUd7Ztbm9eeqX06YW5 6ubyPVh3Q3FFQAjS9u62KjbIReCOVeLA5iXBnHWx2WxKYHPmu4F9zROtJcv6 F4d9XV/aN9Jf214HJMP0wkxpQ1lBVSHPIMAq/QfG3h+fcqofEHAgD7J93VXm 6PDwYGF+pK+nClAjwJEmx1sBI5qb7hweaiguTn1X9bKl+VVdbXF6RtTQUM/x D6zbft8nDiTA4GDn1NRIff1rXUqQr8yJFOwNXllaf4Ge6q90Q+KRCEq3cIt4 YvzK0we+DxweHk5Nvm+oLcgpSGCHMVyF7i58d4aWqogSeYi8HHku7iKP7NLs nb3dFST0CDYOfO1R/3AAnMXy3AQ18tAzIsxio1VmTgjUWSRgMycEBxmYkghy mFkYkxjc1VPf3Nujio0sqCp1F5Hvk4kPcIqfHNneHMXq+saX13A/GpGITsyr gz7N4C6EWoog5iMbOwLveEt9XASQ48yR60zWUDFSH66eNzQ5/FFrHlQ18FQJ Km982zvSi+wDiVHXWb+6DvWYQC0S1wF7e9vTk12TYy2T4xA7AtsE2MagnZGh hr6++uXlhWOovdfs6upJZ5yvPWQUV4iuwXZfqSM/nEgJ8pZFsSdnRmMydHg5 1L6WE0HSp2nCklTb259sXILiIoYG21obS+pr84NipM4CN1oIpbwiq/j1U1mk wEPk+aI4ZWlh4lxcLoovBsQ4sLu3PTk9Uln3VmlURsUqjBapIUYSHilIz4mt rC6IiBE3tlf9AVctsn2xurVZkxhp58f8yYld2QJ5Q/7iDiJugqsQnjYHBIqr BrjU88vzSqvK1pH2bO0jXzmWreMQgonJBakraytT89PWF7H0MObE7MTxJ9ZN W/j98QX/EbrOXh8szo8Mva+1ESRkm55sB9vURMvG+uzXHiCKLwFIgB8fDU4M vK7Oe/XqWXNnDdKZsbG7dni8f2RqcAlmyEDH+doj/ZZwBC9eY6Pd5eXp3AgW UDy9xN5p2dFtjcUtjSXVzW9bexp7u6oXF6aOUal4DTA2NWZ5omlpr2loqWjp qO7uhdoZrKwunf0M5JWDvdIVzfXG1NSegU+ugCi+GyBMZmBsgBxChVqtnWb3 w75yb1YE20+J85RgXte9Pvutze2tv3WTnaNGaLvq6wQoSnFleWJyvGV6sgMw oomx5vHR5qmJ1t6eioGBhpmprvk5yBn6I0do/4DY3t5AdtCb/rlAwuAH2xpq co1JmoccR7FJWNnwpqeruvpd7sba4tceHwoER0en/s284tQumBfZ/vHRL5y1 26DT5LsHsgJmlmY78Vw8xV7OPFfEiITURKJq6bIYucKqwipwBe+KkNgz1LL3 7QOa13t724AX9XZX9HRXzU73LC+N72yvTk32wbG4R/v72197kCi+HGxM2Jas B2s0f6AM+TNwdHCwNz83JjLw5ZGChpq8+dkRoJBuba3v7++i8djXB8hDvrK6 uLQyf9Yp9qknH/nM990nCwUCIAwB5zFnxLgI3NKKnspiFIApeUkwjlxnF74b VumvfRLa8b5zdnF2YAzqAPXXTw6Kbwvrawvv3uVPTQ2jNxQFDPQxuHyMTI9O TQ31dtdsbKx87bGgQIHiv2Bybmptc31ja5Oj53lKvEOTw92EHmwd9xilQz8Q jlCLAQoUlwh0Nn0rQEUfik/h7INRUFX4gPkouSBlfGa8ZxhO8UbXze8V6D1F geKKgQpPFCi+dRwdfWBBs0tzxTWv0PxTFChQoECBAgWKczhb1AgFChQoUKBA geIHx9lCRihQoECBAgUKFChQoECBAgWKq8b/B0Dh9GU= "], {{0, 401.}, {389.5, 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{779., 802.}, PlotRange->{{0, 389.5}, {0, 401.}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.859193083645233*^9, 3.859193125486493*^9, {3.859193168156378*^9, 3.859193282653598*^9}, {3.859193407013461*^9, 3.859193429897978*^9}, { 3.8591934680814238`*^9, 3.859193527886231*^9}, {3.859193559933392*^9, 3.859193584313602*^9}, {3.85919362994238*^9, 3.859193755074789*^9}, 3.859193800408218*^9, 3.8591939816825247`*^9}, CellLabel->"Out[4]=", CellID->840569257] }, Open ]] }, Closed]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["Source & Additional Information", "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Source & Additional Information"}, CellTags->{"Source & Additional Information", "TemplateSection"}, CellID->611501116], Cell[CellGroupData[{ Cell[TextData[{ "Contributed By", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Contributed By", Cell[ BoxData[ FrameBox[ Cell[ "Enter the name of the person, people or organization that should be \ publicly credited with contributing this function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoContributedBy"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Contributed By"}, DefaultNewCellStyle->"Text", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256], Cell["Anton Antonov", "Text", CellID->371944346] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Keywords", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Keywords", Cell[ BoxData[ FrameBox[ Cell[ "List relevant terms (e.g. functional areas, algorithm names, related \ concepts) that should be used to include the function in search results.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoKeywords"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Keywords"}, DefaultNewCellStyle->"Item", CellTags->{"Keywords", "TemplateCellGroup"}, CellID->696375425], Cell["mandala", "Item", CellID->981971946] }, Open ]], Cell[CellGroupData[{ Cell["Categories", "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Categories"}, DefaultNewCellStyle->"Item", CellTags->{"Categories", "TemplateCellGroup"}, CellID->362094786], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Cloud & Deployment"}], "\" \"", "\"Cloud & Deployment\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Data Manipulation & Analysis"}], "\" \"", "\"Data Manipulation & Analysis\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "External Interfaces & Connections"}], "\" \"", "\"External Interfaces & Connections\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Geographic Data & Computation"}], "\" \"", "\"Geographic Data & Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Graphs & Networks"}], "\" \"", "\"Graphs & Networks\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Images"}], "\" \"", "\"Images\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[ False, {False, "Knowledge Representation & Natural Language"}], "\" \"", "\"Knowledge Representation & Natural Language\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Notebook Documents & Presentation"}], "\" \"", "\"Notebook Documents & Presentation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Repository Tools"}], "\" \"", "\"Repository Tools\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Social, Cultural & Linguistic Data"}], "\" \"", "\"Social, Cultural & Linguistic Data\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Strings & Text"}], "\" \"", "\"Strings & Text\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "System Operation & Setup"}], "\" \"", "\"System Operation & Setup\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "User Interface Construction"}], "\" \"", "\"User Interface Construction\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Wolfram Physics Project"}], "\" \"", "\"Wolfram Physics Project\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Core Language & Structure"}], "\" \"", "\"Core Language & Structure\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Engineering Data & Computation"}], "\" \"", "\"Engineering Data & Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Financial Data & Computation"}], "\" \"", "\"Financial Data & Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["Geometry", {False, "Geometry"}], "\" \"", "\"Geometry\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Higher Mathematical Computation"}], "\" \"", "\"Higher Mathematical Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["Just For Fun", {False, "Just For Fun"}], "\" \"", "\"Just For Fun\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Machine Learning"}], "\" \"", "\"Machine Learning\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Programming Utilities"}], "\" \"", "\"Programming Utilities\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[ False, {False, "Scientific and Medical Data & Computation"}], "\" \"", "\"Scientific and Medical Data & Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Sound & Video"}], "\" \"", "\"Sound & Video\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Symbolic & Numeric Computation"}], "\" \"", "\"Symbolic & Numeric Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Time-Related Computation"}], "\" \"", "\"Time-Related Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[ "Visualization & Graphics", {False, "Visualization & Graphics"}], "\" \"", "\"Visualization & Graphics\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, {"\<\"\"\>"} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxVj09LAzEQxUGtzUrx7HFP3vZDLNUtFaHSEe9pOm2D2STMn0P89CYIoqcZeL+\ Z995oBliAlIBwu1PJKgMs1xd0n3g8XfPNq2cBs8E0o1CB1Yuy9FOiftIIDx+e1Qb/ZcWn2D/\ 2G7L54h3Xn1vBmbkbVdJcZTeAeaOUkaTA3doKnhN5rORyl9s1n65+3Nrca0A2z0cv9lC3xWQD46/\ QPWHAv0qLnILO8b/h/TYKUqbKNgfoxlhAD4y142qPnJQcvpeMYGob15hvDudeVQ=="}, CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->992570531] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Related Symbols", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Related Symbols", Cell[ BoxData[ FrameBox[ Cell[ "List up to twenty documented, system-level Wolfram Language symbols \ related to the function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoRelatedSymbols"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Related Symbols"}, DefaultNewCellStyle->"Item", CellTags->{"Related Symbols", "TemplateCellGroup"}, CellID->659846169], Cell["Graphics", "Item", CellID->608207214], Cell["BezierCurve", "Item", CellID->618426327], Cell["FilledCurve", "Item", CellID->664462898], Cell["ColorData", "Item", CellID->961916804] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Related Resource Objects", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Related Resource Objects", Cell[ BoxData[ FrameBox[ Cell[ "List the names of published resource objects from any Wolfram \ repository that are related to this function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoRelatedResourceObjects"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Related Resource Objects"}, DefaultNewCellStyle->"Item", CellTags->{"Related Resource Objects", "TemplateCellGroup"}, CellID->465534472], Cell["RandomScribble", "Item", CellID->468661880], Cell["TexturizePolygons", "Item", CellID->833832448] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Source/Reference Citation", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Source/Reference Citation", Cell[ BoxData[ FrameBox[ Cell[ "Give a bibliographic-style citation for the original source of the \ function and/or its components (e.g. a published paper, algorithm, or code \ repository).", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoSourceReferenceCitation"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Source/Reference Citation"}, DefaultNewCellStyle->"Text", CellTags->{"Source/Reference Citation", "TemplateCellGroup"}, CellID->515669552], Cell["Source, reference or citation information", "Text", CellEventActions->{Inherited, {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]], PassEventsDown -> False, PassEventsUp -> False}, CellTags->{"DefaultContent", "TabNext"}, CellID->436399423] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Links", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Links", Cell[ BoxData[ FrameBox[ Cell[ "List additional URLs or hyperlinks for external information related \ to the function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoLinks"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Links"}, DefaultNewCellStyle->"Item", CellTags->{"Links", "TemplateCellGroup"}, CellID->571756773], Cell[TextData[ButtonBox["Comparison of dimension reduction algorithms over \ mandala images generation\[Dash]Mathematica for prediction algorithms", BaseStyle->"Hyperlink", ButtonData->{ URL["https://mathematicaforprediction.wordpress.com/2017/02/10/comparison-\ of-dimension-reduction-algorithms-over-mandala-images-generation/"], None}, ButtonNote-> "https://mathematicaforprediction.wordpress.com/2017/02/10/comparison-of-\ dimension-reduction-algorithms-over-mandala-images-generation/"]], "Item", CellID->890565779], Cell[TextData[ButtonBox["Code that generates a mandala\[Dash]Mathematica \ Stack Exchange", BaseStyle->"Hyperlink", ButtonData->{ URL["https://mathematica.stackexchange.com/q/136974/34008"], None}, ButtonNote->"https://mathematica.stackexchange.com/q/136974/34008"]], "Item",\ CellID->577036958], Cell[TextData[ButtonBox["RandomMandala 0.6.0\[Dash]Python Package Index", BaseStyle->"Hyperlink", ButtonData->{ URL["https://pypi.org/project/RandomMandala/"], None}, ButtonNote->"https://pypi.org/project/RandomMandala/"]], "Item", CellID->701916140] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Tests", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"VerificationTests", Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Specify an optional list of tests for verifying that the function \ is working properly in any environment. Tests can be specified as \ Input/Output cell pairs or as symbolic ", Cell[ BoxData[ StyleBox[ TagBox[ ButtonBox[ StyleBox[ "VerificationTest", "SymbolsRefLink", ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"], BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, { "Link"}]], ButtonData -> "paclet:ref/VerificationTest", ContentPadding -> False], MouseAppearanceTag["LinkHand"]], ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"]]], " expressions for including additional options."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoVerificationTests"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "VerificationTests"}, DefaultNewCellStyle->"Input", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448], Cell["This should produces different mandalas:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779265407641748*^9, 3.779265418588081*^9}}, CellID->329136582], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", "]"}]}], ",", "36"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7792653960549088`*^9, 3.7792654256196537`*^9}, { 3.779265624941702*^9, 3.7792656264919033`*^9}, {3.779813487491227*^9, 3.7798134910846*^9}}, CellLabel->"In[1]:=", CellID->307580305], Cell[BoxData[ RowBox[{"{", RowBox[{ "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779530201996943*^9, 3.7795304286480513`*^9, 3.7795307104513693`*^9, 3.779549738025964*^9, 3.779552090327948*^9, 3.779554221236668*^9, 3.7795548337406816`*^9, 3.779813500138342*^9, 3.780352339380435*^9, 3.780353504402878*^9, 3.7803969381076097`*^9, 3.780397458625988*^9, 3.780399871901176*^9, 3.780400246242569*^9, 3.780400386261146*^9, 3.780401142440708*^9, 3.780401303400172*^9, 3.7804018237388897`*^9, 3.7804022786024218`*^9, 3.780402406924868*^9, 3.8485077352820387`*^9, 3.848520868970592*^9, 3.85919331629205*^9, 3.859193981834094*^9}, CellLabel->"Out[1]=", CellID->823002759] }, Open ]], Cell["This should run without failures (single-mandala mode):", "Text", TaggingRules->{}, CellChangeTimes->{{3.7792654398734627`*^9, 3.7792654563212547`*^9}, { 3.780397806272366*^9, 3.780397811594211*^9}}, CellID->41326562], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"n", "=", "3"}], ";"}], "\[IndentingNewLine]", RowBox[{"mandalas", "=", "\[IndentingNewLine]", RowBox[{"Flatten", "@", "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "r"}], ",", RowBox[{"\"\\"", "\[Rule]", "ord"}], ",", RowBox[{"\"\\"", "\[Rule]", "gp"}], ",", RowBox[{"\"\\"", "\[Rule]", "nel"}], ",", RowBox[{"\"\\"", "\[Rule]", "s"}], ",", RowBox[{"ColorFunction", "\[Rule]", "cf"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"r", ",", RowBox[{"RandomReal", "[", RowBox[{ RowBox[{"{", RowBox[{"0.1", ",", "100"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"ord", ",", RowBox[{"RandomReal", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "10"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"gp", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"nel", ",", RowBox[{"RandomInteger", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "10"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"s", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"cf", ",", RowBox[{"{", RowBox[{"None", ",", "\"\\""}], "}"}]}], "}"}]}], "]"}]}]}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.779265028616885*^9, 3.77926517568611*^9}, { 3.7792652396355667`*^9, 3.779265375771326*^9}, {3.7792654336209517`*^9, 3.779265526905772*^9}, {3.779530444961281*^9, 3.779530476008258*^9}, { 3.779530725687714*^9, 3.77953073799269*^9}, {3.7798135081022263`*^9, 3.7798135196178293`*^9}}, CellLabel->"In[2]:=", CellID->628935058], Cell[BoxData[ RowBox[{"{", RowBox[{ "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.7795506450265713`*^9, 3.7795520907608843`*^9, 3.779554221575673*^9, 3.779554834088564*^9, {3.779813511177834*^9, 3.779813520253737*^9}, 3.780352339516871*^9, 3.7803535061589613`*^9, 3.780396938267673*^9, 3.780397458774572*^9, 3.7803998720746*^9, 3.7804002463804817`*^9, 3.780400386418292*^9, 3.7804011425631647`*^9, 3.780401303529948*^9, 3.780401823867878*^9, 3.780402278785715*^9, 3.780402407047821*^9, 3.8485077354354067`*^9, 3.848520869109808*^9, 3.859193317302733*^9, 3.859193981896223*^9}, CellLabel->"Out[3]=", CellID->693631453] }, Open ]], Cell["This should run without failures (multi-mandala mode):", "Text", TaggingRules->{}, CellChangeTimes->{{3.7792654398734627`*^9, 3.7792654563212547`*^9}, { 3.7803977951799803`*^9, 3.7803978027170258`*^9}}, CellID->352510104], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"n", "=", "3"}], ";"}], "\[IndentingNewLine]", RowBox[{"mandalas", "=", "\[IndentingNewLine]", RowBox[{"Flatten", "@", "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Range", "[", "r", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "ord"}], ",", RowBox[{"\"\\"", "\[Rule]", "gp"}], ",", RowBox[{"\"\\"", "\[Rule]", "nel"}], ",", RowBox[{"\"\\"", "\[Rule]", "s"}], ",", RowBox[{"ColorFunction", "\[Rule]", "cf"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"r", ",", RowBox[{"RandomInteger", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "100"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"ord", ",", RowBox[{"RandomReal", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "10"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"gp", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"nel", ",", RowBox[{"RandomInteger", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "10"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"s", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"cf", ",", RowBox[{"{", RowBox[{"None", ",", "\"\\""}], "}"}]}], "}"}]}], "]"}]}]}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.779265028616885*^9, 3.77926517568611*^9}, { 3.7792652396355667`*^9, 3.779265375771326*^9}, {3.7792654336209517`*^9, 3.779265526905772*^9}, {3.779530444961281*^9, 3.779530476008258*^9}, { 3.779530725687714*^9, 3.77953073799269*^9}, {3.7798135081022263`*^9, 3.7798135196178293`*^9}, {3.78039774147808*^9, 3.780397776539089*^9}}, CellLabel->"In[4]:=", CellID->862683544], Cell[BoxData[ RowBox[{"{", RowBox[{ "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.780397782140032*^9, 3.780399880990382*^9, 3.780400252248761*^9, 3.780400392506585*^9, 3.7804011471131144`*^9, 3.780401309082265*^9, 3.780401829018097*^9, 3.780402284357029*^9, 3.780402412232635*^9, 3.84850774184589*^9, 3.848520875480999*^9, 3.859193320638276*^9, 3.859193985764401*^9}, CellLabel->"Out[5]=", CellID->333169265] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"n", "=", "3"}], ";"}], "\[IndentingNewLine]", RowBox[{"mandalas", "=", "\[IndentingNewLine]", RowBox[{"Flatten", "@", "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Range", "[", "r", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "ord"}], ",", RowBox[{"\"\\"", "\[Rule]", "gp"}], ",", RowBox[{"\"\\"", "\[Rule]", "nel"}], ",", RowBox[{"\"\\"", "\[Rule]", "s"}], ",", RowBox[{"ColorFunction", "\[Rule]", "cf"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"r", ",", RowBox[{"RandomInteger", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "6"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"ord", ",", RowBox[{"RandomReal", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "10"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"gp", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"nel", ",", RowBox[{"RandomInteger", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "10"}], "}"}], ",", "n"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"s", ",", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"cf", ",", RowBox[{"{", RowBox[{"None", ",", "\"\\""}], "}"}]}], "}"}]}], "]"}]}]}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.779265028616885*^9, 3.77926517568611*^9}, { 3.7792652396355667`*^9, 3.779265375771326*^9}, {3.7792654336209517`*^9, 3.779265526905772*^9}, {3.779530444961281*^9, 3.779530476008258*^9}, { 3.779530725687714*^9, 3.77953073799269*^9}, {3.7798135081022263`*^9, 3.7798135196178293`*^9}, {3.78039774147808*^9, 3.780397776539089*^9}, { 3.780397817761903*^9, 3.780397820876741*^9}, {3.780397864337852*^9, 3.7803978668445787`*^9}, {3.780397906715667*^9, 3.7803979107993097`*^9}}, CellLabel->"In[6]:=", CellID->559412131], Cell[BoxData[ RowBox[{"{", RowBox[{ "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics", ",", "Graphics"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.780397838908092*^9, {3.780397869286916*^9, 3.780397912071946*^9}, 3.7803998813625717`*^9, 3.78040025285236*^9, 3.7804003931121187`*^9, 3.780401147656365*^9, 3.78040130964391*^9, 3.7804018294384193`*^9, 3.780402284817021*^9, 3.780402412664266*^9, 3.8485077424202957`*^9, 3.848520876079091*^9, 3.859193320831974*^9, 3.8591939859570837`*^9}, CellLabel->"Out[7]=", CellID->503306924] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7804016627124557`*^9, 3.780401673310678*^9}}, CellLabel->"In[8]:=", CellID->821471518], Cell[BoxData["Graphics"], "Output", TaggingRules->{}, CellChangeTimes->{{3.7804016661029997`*^9, 3.7804016739015207`*^9}, 3.780401829449482*^9, 3.78040228482979*^9, 3.780402412674869*^9, 3.8485077424875402`*^9, 3.8485208761692247`*^9, 3.8591933244704933`*^9, 3.859193985972868*^9}, CellLabel->"Out[8]=", CellID->207848202] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}]}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7804016627124557`*^9, 3.780401710335535*^9}}, CellLabel->"In[9]:=", CellID->782334250], Cell[BoxData["Graphics"], "Output", TaggingRules->{}, CellChangeTimes->{{3.780401697765376*^9, 3.780401710787051*^9}, 3.7804018294907713`*^9, 3.7804022849005337`*^9, 3.78040241271854*^9, 3.848507742558732*^9, 3.8485208762642193`*^9, 3.859193324507433*^9, 3.859193985979089*^9}, CellLabel->"Out[9]=", CellID->507561224] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}]}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7804016627124557`*^9, 3.7804017423646793`*^9}}, CellLabel->"In[10]:=", CellID->159727264], Cell[BoxData["Graphics"], "Output", TaggingRules->{}, CellChangeTimes->{{3.780401723795649*^9, 3.780401743124467*^9}, 3.780401829500237*^9, 3.780402284913032*^9, 3.7804024127281723`*^9, 3.848507742629225*^9, 3.848520876347827*^9, 3.8591933245131683`*^9, 3.859193985998397*^9}, CellLabel->"Out[10]=", CellID->255088526] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Random"}]}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7804016627124557`*^9, 3.7804017423646793`*^9}, { 3.780404931793342*^9, 3.780404944582206*^9}}, CellLabel->"In[11]:=", CellID->310413349], Cell[BoxData["Graphics"], "Output", TaggingRules->{}, CellChangeTimes->{{3.780404936564104*^9, 3.780404944990237*^9}, 3.848507742696382*^9, 3.8485208764331293`*^9, 3.859193324527008*^9, 3.859193986004797*^9}, CellLabel->"Out[11]=", CellID->873906592] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Head", "@", RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", RowBox[{"Log", "[", RowBox[{"Range", "[", RowBox[{"10", ",", "2", ",", RowBox[{"-", "2"}]}], "]"}], "]"}]}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.780402297255704*^9, 3.780402322185891*^9}}, CellLabel->"In[12]:=", CellID->383877180], Cell[BoxData["Graphics"], "Output", TaggingRules->{}, CellChangeTimes->{{3.780402298472961*^9, 3.7804023225815372`*^9}, 3.7804024127715054`*^9, 3.8485077427626266`*^9, 3.848520876520378*^9, 3.8591933245342627`*^9, 3.859193986025812*^9}, CellLabel->"Out[12]=", CellID->539084588] }, Open ]], Cell[CellGroupData[{ Cell["These should fail", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.779250515753829*^9, 3.779250523071279*^9}}, CellLabel->"In[13]:=", CellID->235125543], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", RowBox[{"-", "12"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792153939174547`*^9}}, CellLabel->"In[1]:=", CellID->501594056], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"rpopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"Radius\\\\\\\"\\\", \ \\\"\\\\\\\"\\\\\\\\\\\\\\\" is expected to be a positive real number or list \ of positive real numbers.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \ \\\"RowDefault\\\"]\\)\"", 2, 1, 1, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.7795302023449287`*^9, 3.779530711303646*^9, 3.7795497385828543`*^9, 3.779552090874889*^9, 3.779554221980535*^9, 3.779554834226139*^9, 3.780352339569736*^9, 3.7803535086352167`*^9, 3.780396938318334*^9, 3.780397458820595*^9, 3.780399881417334*^9, 3.78040025291232*^9, 3.7804003931650753`*^9, 3.7804011476899014`*^9, 3.7804013097424793`*^9, 3.7804018295491123`*^9, 3.780402284992016*^9, 3.7804024128214293`*^9, 3.8485077428369493`*^9, 3.848520876624339*^9, 3.859193326163727*^9, 3.859193986118239*^9}, CellLabel->"During evaluation of In[1]:=", CellID->839942300], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{3.7795302023677387`*^9, 3.779530711311245*^9, 3.7795497386123657`*^9, 3.7795520908828*^9, 3.7795542219888906`*^9, 3.779554834240263*^9, 3.780352339570259*^9, 3.7803535086434803`*^9, 3.780396938328137*^9, 3.780397458829813*^9, 3.780399881427783*^9, 3.7804002529207706`*^9, 3.780400393173746*^9, 3.780401147696906*^9, 3.780401309752185*^9, 3.780401829557989*^9, 3.78040228500112*^9, 3.7804024128295393`*^9, 3.848507742852367*^9, 3.8485208766384373`*^9, 3.859193326172151*^9, 3.8591939861291533`*^9}, CellLabel->"Out[1]=", CellID->329392075] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"2", ",", "Blah", ",", "2"}], "}"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792153939174547`*^9}, { 3.7803535162237186`*^9, 3.780353528034802*^9}}, CellLabel->"In[2]:=", CellID->134152577], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"rpopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"Radius\\\\\\\"\\\", \ \\\"\\\\\\\"\\\\\\\\\\\\\\\" is expected to be a positive real number or list \ of positive real numbers.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \ \\\"RowDefault\\\"]\\)\"", 2, 2, 2, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780353528658626*^9, 3.780396938337082*^9, 3.780397458837566*^9, 3.7803998814364233`*^9, 3.7804002529293528`*^9, 3.780400393181645*^9, 3.780401147705632*^9, 3.780401309761272*^9, 3.780401829596672*^9, 3.780402285072801*^9, 3.780402412838847*^9, 3.848507742919017*^9, 3.8485208767244864`*^9, 3.85919332729475*^9, 3.859193986144857*^9}, CellLabel->"During evaluation of In[2]:=", CellID->948800984], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{3.780353528664878*^9, 3.7803969383443213`*^9, 3.780397458844099*^9, 3.780399881442779*^9, 3.7804002529358873`*^9, 3.7804003931885653`*^9, 3.7804011477124023`*^9, 3.780401309767847*^9, 3.7804018296032248`*^9, 3.780402285079549*^9, 3.780402412845509*^9, 3.848507742930389*^9, 3.848520876735551*^9, 3.859193327304183*^9, 3.859193986151306*^9}, CellLabel->"Out[2]=", CellID->671461465] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", RowBox[{"-", "12"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}}, CellLabel->"In[3]:=", CellID->190887570], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"ipopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"NumberOfSeedElements\\\\\\\"\\\", \ \\\"\\\\\\\"\\\\\\\\\\\\\\\" is expected to be a positive \ integer.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \\\"RowDefault\\\"]\\)\"", 2, 3, 3, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.779530202396682*^9, 3.779530711318609*^9, 3.779549738620202*^9, 3.779552090948621*^9, 3.779554221995994*^9, 3.779554834295062*^9, 3.78035233957758*^9, 3.7803535107988997`*^9, 3.780396938384849*^9, 3.7803974588828487`*^9, 3.780399881485422*^9, 3.780400252986929*^9, 3.780400393232875*^9, 3.780401147740261*^9, 3.7804013098136787`*^9, 3.780401829610969*^9, 3.780402285153442*^9, 3.780402412887686*^9, 3.848507743015246*^9, 3.848520876820616*^9, 3.8591933288853817`*^9, 3.859193986169713*^9}, CellLabel->"During evaluation of In[3]:=", CellID->358887796], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{3.779530202402899*^9, 3.7795307113243856`*^9, 3.779549738626068*^9, 3.7795520909542427`*^9, 3.779554222002281*^9, 3.7795548343011007`*^9, 3.780352339578107*^9, 3.7803535108050623`*^9, 3.780396938392536*^9, 3.7803974588897*^9, 3.7803998814922953`*^9, 3.78040025299319*^9, 3.780400393239316*^9, 3.780401147747594*^9, 3.780401309820079*^9, 3.78040182961758*^9, 3.780402285159893*^9, 3.7804024128937798`*^9, 3.848507743026122*^9, 3.8485208768324633`*^9, 3.859193328893385*^9, 3.859193986176668*^9}, CellLabel->"Out[3]=", CellID->99357033] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", RowBox[{"-", "12"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}, 3.7792505340628757`*^9, {3.7792512092233047`*^9, 3.779251211807351*^9}, { 3.7792637538601227`*^9, 3.779263767888908*^9}}, CellLabel->"In[4]:=", CellID->30607098], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"rpopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"RotationalSymmetryOrder\\\\\\\"\\\", \\\"\\\\\ \\\"\\\\\\\\\\\\\\\" is expected to be a positive real number or list of \ positive real numbers.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \ \\\"RowDefault\\\"]\\)\"", 2, 4, 4, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.779530202410181*^9, 3.779530711372671*^9, 3.779549738657658*^9, 3.779552090961479*^9, 3.7795542221511993`*^9, 3.779554834308147*^9, 3.780352339625102*^9, 3.7803535117522984`*^9, 3.780396938507494*^9, 3.78039745889804*^9, 3.780399881500551*^9, 3.780400253000815*^9, 3.780400393249118*^9, 3.7804011477554283`*^9, 3.780401309830537*^9, 3.780401829656189*^9, 3.780402285168475*^9, 3.780402412903853*^9, 3.8485077430977163`*^9, 3.848520876919806*^9, 3.859193329705316*^9, 3.859193986192333*^9}, CellLabel->"During evaluation of In[4]:=", CellID->862901046], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{3.779530202415985*^9, 3.779530711378375*^9, 3.779549738663444*^9, 3.779552090967462*^9, 3.779554222156336*^9, 3.779554834314148*^9, 3.7803523396256237`*^9, 3.780353511758729*^9, 3.78039693851495*^9, 3.780397458905032*^9, 3.7803998815069847`*^9, 3.78040025300749*^9, 3.780400393255549*^9, 3.780401147762127*^9, 3.780401309837347*^9, 3.780401829663086*^9, 3.780402285175748*^9, 3.780402412909875*^9, 3.848507743109599*^9, 3.8485208769322844`*^9, 3.859193329713146*^9, 3.8591939861987133`*^9}, CellLabel->"Out[4]=", CellID->67818390] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}, 3.7792505340628757`*^9, {3.7792512092233047`*^9, 3.779251219997302*^9}, 3.779263777142385*^9}, CellLabel->"In[5]:=", CellID->260571217], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"rpopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"RotationalSymmetryOrder\\\\\\\"\\\", \\\"\\\\\ \\\"\\\\\\\\\\\\\\\" is expected to be a positive real number or list of \ positive real numbers.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \ \\\"RowDefault\\\"]\\)\"", 2, 5, 5, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.779530202444147*^9, 3.779530711385742*^9, 3.779549738670868*^9, 3.7795520910362186`*^9, 3.779554222163084*^9, 3.7795548343682613`*^9, 3.7803523396325397`*^9, 3.780353512655086*^9, 3.780396938525503*^9, 3.7803974589479427`*^9, 3.780399881549876*^9, 3.7804002530582933`*^9, 3.780400393299838*^9, 3.780401147789472*^9, 3.780401309892231*^9, 3.780401829672422*^9, 3.7804022852390003`*^9, 3.78040241295146*^9, 3.848507743176819*^9, 3.8485208770246563`*^9, 3.859193331227683*^9, 3.859193986218033*^9}, CellLabel->"During evaluation of In[5]:=", CellID->585432858], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{3.779530202450461*^9, 3.779530711391777*^9, 3.779549738676881*^9, 3.779552091042026*^9, 3.779554222169134*^9, 3.779554834374195*^9, 3.78035233963307*^9, 3.7803535126613207`*^9, 3.7803969385325003`*^9, 3.78039745895788*^9, 3.7803998815564537`*^9, 3.780400253064663*^9, 3.780400393306662*^9, 3.780401147796056*^9, 3.780401309898766*^9, 3.7804018296788816`*^9, 3.780402285245647*^9, 3.780402412958065*^9, 3.848507743189619*^9, 3.848520877035747*^9, 3.859193331235293*^9, 3.8591939862270308`*^9}, CellLabel->"Out[5]=", CellID->860470269] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", "0"}], "]"}]], "Input",\ TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}, 3.7792505340628757`*^9, {3.7792512092233047`*^9, 3.779251219997302*^9}, { 3.779257234454167*^9, 3.779257237018509*^9}, 3.779263782328278*^9}, CellLabel->"In[6]:=", CellID->634848597], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"rpopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"RotationalSymmetryOrder\\\\\\\"\\\", \\\"\\\\\ \\\"\\\\\\\\\\\\\\\" is expected to be a positive real number or list of \ positive real numbers.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \ \\\"RowDefault\\\"]\\)\"", 2, 6, 6, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.779530202457644*^9, 3.7795307114403152`*^9, 3.779549738708515*^9, 3.7795520910490913`*^9, 3.7795542223260727`*^9, 3.779554834381402*^9, 3.780352339680018*^9, 3.7803535135955677`*^9, 3.780396938583428*^9, 3.7803974589695997`*^9, 3.780399881564527*^9, 3.780400253072371*^9, 3.7804003933145*^9, 3.780401147803924*^9, 3.780401309909156*^9, 3.7804018297182426`*^9, 3.780402285252954*^9, 3.780402412965858*^9, 3.84850774326015*^9, 3.848520877115003*^9, 3.859193332069124*^9, 3.8591939862437983`*^9}, CellLabel->"During evaluation of In[6]:=", CellID->791115475], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{3.779530202463504*^9, 3.779530711445829*^9, 3.779549738714569*^9, 3.779552091054905*^9, 3.7795542223313627`*^9, 3.7795548343875103`*^9, 3.7803523396805983`*^9, 3.7803535136014137`*^9, 3.780396938590445*^9, 3.780397458978332*^9, 3.780399881571245*^9, 3.780400253078864*^9, 3.7804003933208847`*^9, 3.780401147810864*^9, 3.780401309916356*^9, 3.78040182972488*^9, 3.780402285260153*^9, 3.780402412972185*^9, 3.848507743271244*^9, 3.8485208771269007`*^9, 3.859193332076934*^9, 3.859193986250133*^9}, CellLabel->"Out[6]=", CellID->238938350] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Range", "[", "3", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "0"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}, 3.7792505340628757`*^9, {3.7792512092233047`*^9, 3.779251219997302*^9}, { 3.779257234454167*^9, 3.779257237018509*^9}, 3.779263782328278*^9, { 3.780397648553228*^9, 3.780397664014666*^9}, {3.78039769466293*^9, 3.780397713682953*^9}}, CellLabel->"In[7]:=", CellID->491251151], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"rpopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"RotationalSymmetryOrder\\\\\\\"\\\", \\\"\\\\\ \\\"\\\\\\\\\\\\\\\" is expected to be a positive real number or list of \ positive real numbers.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \ \\\"RowDefault\\\"]\\)\"", 2, 7, 7, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780397714038924*^9, 3.78039821421222*^9, 3.780398322310771*^9, 3.78039988161605*^9, 3.780400253129919*^9, 3.7804003933653517`*^9, 3.7804011478400087`*^9, 3.7804013099800243`*^9, 3.780401829733201*^9, 3.7804022853439713`*^9, 3.780402413013956*^9, 3.848507743341526*^9, 3.8485208771908693`*^9, 3.859193333816544*^9, 3.859193986269637*^9}, CellLabel->"During evaluation of In[7]:=", CellID->112412015], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"rpopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"RotationalSymmetryOrder\\\\\\\"\\\", \\\"\\\\\ \\\"\\\\\\\\\\\\\\\" is expected to be a positive real number or list of \ positive real numbers.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \ \\\"RowDefault\\\"]\\)\"", 2, 7, 8, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780397714038924*^9, 3.78039821421222*^9, 3.780398322310771*^9, 3.78039988161605*^9, 3.780400253129919*^9, 3.7804003933653517`*^9, 3.7804011478400087`*^9, 3.7804013099800243`*^9, 3.780401829733201*^9, 3.7804022853439713`*^9, 3.780402413013956*^9, 3.848507743341526*^9, 3.8485208771908693`*^9, 3.859193333816544*^9, 3.85919398628008*^9}, CellLabel->"During evaluation of In[7]:=", CellID->665704804], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"rpopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"RotationalSymmetryOrder\\\\\\\"\\\", \\\"\\\\\ \\\"\\\\\\\\\\\\\\\" is expected to be a positive real number or list of \ positive real numbers.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \ \\\"RowDefault\\\"]\\)\"", 2, 7, 9, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780397714038924*^9, 3.78039821421222*^9, 3.780398322310771*^9, 3.78039988161605*^9, 3.780400253129919*^9, 3.7804003933653517`*^9, 3.7804011478400087`*^9, 3.7804013099800243`*^9, 3.780401829733201*^9, 3.7804022853439713`*^9, 3.780402413013956*^9, 3.848507743341526*^9, 3.8485208771908693`*^9, 3.859193333816544*^9, 3.859193986296809*^9}, CellLabel->"During evaluation of In[7]:=", CellID->822188951], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"ResourceFunction\\\", \ \\\"::\\\", \\\"usermessage\\\"}], \\\"MessageName\\\"]\\) will be suppressed \ during this calculation.\"", 2, 7, 10, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780397714038924*^9, 3.78039821421222*^9, 3.780398322310771*^9, 3.78039988161605*^9, 3.780400253129919*^9, 3.7804003933653517`*^9, 3.7804011478400087`*^9, 3.7804013099800243`*^9, 3.780401829733201*^9, 3.7804022853439713`*^9, 3.780402413013956*^9, 3.848507743341526*^9, 3.8485208771908693`*^9, 3.859193333816544*^9, 3.859193986303034*^9}, CellLabel->"During evaluation of In[7]:=", CellID->269146169], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{3.7803977140829973`*^9, 3.7803982142374268`*^9, 3.7803983223369837`*^9, 3.780399881638818*^9, 3.780400253152423*^9, 3.780400393387567*^9, 3.7804011478938217`*^9, 3.7804013100047398`*^9, 3.780401829754944*^9, 3.7804022853706903`*^9, 3.780402413036264*^9, 3.848507743453001*^9, 3.8485208772965307`*^9, 3.8591933338619823`*^9, 3.859193986310606*^9}, CellLabel->"Out[7]=", CellID->310023666] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Range", "[", "3", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"-", "12"}]}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}, 3.7792505340628757`*^9, {3.7792512092233047`*^9, 3.779251219997302*^9}, { 3.779257234454167*^9, 3.779257237018509*^9}, 3.779263782328278*^9, { 3.780397648553228*^9, 3.780397664014666*^9}, {3.78039769466293*^9, 3.780397713682953*^9}, {3.780398339691633*^9, 3.780398356662896*^9}}, CellLabel->"In[8]:=", CellID->425918709], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"ipopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"NumberOfSeedElements\\\\\\\"\\\", \ \\\"\\\\\\\"\\\\\\\\\\\\\\\" is expected to be a positive \ integer.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \\\"RowDefault\\\"]\\)\"", 2, 8, 11, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780401829795064*^9, 3.7804022853812437`*^9, 3.7804024130447702`*^9, 3.848507743521229*^9, 3.848520877356307*^9, 3.859193336434867*^9, 3.8591939863277817`*^9}, CellLabel->"During evaluation of In[8]:=", CellID->20276347], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"ipopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"NumberOfSeedElements\\\\\\\"\\\", \ \\\"\\\\\\\"\\\\\\\\\\\\\\\" is expected to be a positive \ integer.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \\\"RowDefault\\\"]\\)\"", 2, 8, 12, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780401829795064*^9, 3.7804022853812437`*^9, 3.7804024130447702`*^9, 3.848507743521229*^9, 3.848520877356307*^9, 3.859193336434867*^9, 3.859193986337092*^9}, CellLabel->"During evaluation of In[8]:=", CellID->739992847], Cell[BoxData[ TemplateBox[{ "ResourceFunction", "usermessage", "\"\\!\\(\\*TemplateBox[List[StyleBox[RowBox[List[\\\"RandomMandala\\\", \ \\\"::\\\", \\\"ipopt\\\"]], \\\"MessageName\\\"], \\\"\\\\\\\": \ \\\\\\\"\\\", TemplateBox[List[\\\"\\\\\\\"The value of the option \\\\\\\\\\\ \\\\\"\\\\\\\"\\\", \\\"\\\\\\\"NumberOfSeedElements\\\\\\\"\\\", \ \\\"\\\\\\\"\\\\\\\\\\\\\\\" is expected to be a positive \ integer.\\\\\\\"\\\"], \\\"RowDefault\\\"]], \\\"RowDefault\\\"]\\)\"", 2, 8, 13, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780401829795064*^9, 3.7804022853812437`*^9, 3.7804024130447702`*^9, 3.848507743521229*^9, 3.848520877356307*^9, 3.859193336434867*^9, 3.85919398635542*^9}, CellLabel->"During evaluation of In[8]:=", CellID->369048791], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"ResourceFunction\\\", \ \\\"::\\\", \\\"usermessage\\\"}], \\\"MessageName\\\"]\\) will be suppressed \ during this calculation.\"", 2, 8, 14, 21865490503064049676, "Local"}, "MessageTemplate"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{3.780401829795064*^9, 3.7804022853812437`*^9, 3.7804024130447702`*^9, 3.848507743521229*^9, 3.848520877356307*^9, 3.859193336434867*^9, 3.859193986361802*^9}, CellLabel->"During evaluation of In[8]:=", CellID->400226407], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{{3.780398347576171*^9, 3.7803983574017897`*^9}, 3.780399881684999*^9, 3.7804002532050123`*^9, 3.7804003934337606`*^9, 3.780401147937007*^9, 3.7804013100178556`*^9, 3.7804017541629677`*^9, 3.780401829818074*^9, 3.780402285403846*^9, 3.780402413064252*^9, 3.848507743628283*^9, 3.848520877457242*^9, 3.8591933364792013`*^9, 3.859193986367298*^9}, CellLabel->"Out[8]=", CellID->233703962] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomMandala", "[", RowBox[{"\"\\"", "\[Rule]", RowBox[{"Range", "[", RowBox[{ RowBox[{"-", "10"}], ",", RowBox[{"-", "1"}], ",", "1"}], "]"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779215353599655*^9, 3.7792154328094177`*^9}, 3.7792505340628757`*^9, {3.7792512092233047`*^9, 3.779251219997302*^9}, { 3.779257234454167*^9, 3.779257237018509*^9}, 3.779263782328278*^9, { 3.780397648553228*^9, 3.780397664014666*^9}, {3.78039769466293*^9, 3.780397713682953*^9}, {3.780398339691633*^9, 3.780398356662896*^9}, { 3.7803984066977377`*^9, 3.7803984226744747`*^9}}, CellLabel->"In[9]:=", CellID->377415226], Cell[BoxData[ TemplateBox[{ "RandomMandala", "rpopt", "\"The value of the option \\\"\\!\\(\\*RowBox[{\\\"\\\\\\\"Radius\\\\\\\"\ \\\"}]\\)\\\" is expected to be a positive real number or list of positive \ real numbers.\"", 2, 9, 15, 21865490503064049676, "Local", "Global`RandomMandala"}, "MessageTemplate2"]], "Message", "MSG", TaggingRules->{}, CellChangeTimes->{{3.780398416766651*^9, 3.7803984231120787`*^9}, 3.7803985057367907`*^9, 3.780399881695677*^9, 3.780400253214717*^9, 3.780400393451604*^9, 3.780401147966958*^9, 3.780401310080999*^9, 3.780401829825779*^9, 3.780402285627425*^9, 3.780402413107088*^9, 3.848507743638197*^9, 3.848520877466662*^9, 3.859193338337936*^9, 3.859193986375703*^9}, CellLabel->"During evaluation of In[9]:=", CellID->825435740], Cell[BoxData["$Failed"], "Output", TaggingRules->{}, CellChangeTimes->{{3.78039841677794*^9, 3.7803984231234207`*^9}, 3.780398505742934*^9, 3.780399881702124*^9, 3.780400253221037*^9, 3.7804003934580936`*^9, 3.7804011479785147`*^9, 3.7804013100877943`*^9, 3.780401829832161*^9, 3.780402285659738*^9, 3.780402413113415*^9, 3.8485077436516647`*^9, 3.8485208774772787`*^9, 3.859193338349927*^9, 3.859193986381641*^9}, CellLabel->"Out[9]=", CellID->714168504] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Compatibility", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Compatibility", Cell[ BoxData[ FrameBox[ Cell[ "Specify any known compatibilities for your resource to ensure it is \ discoverable on the correct platforms.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibility"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Compatibility"}, CellTags->{"Compatibility", "TemplateCellGroup"}, CellID->559974822], Cell[CellGroupData[{ Cell[TextData[{ "Wolfram Language Version", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityWolframLanguageVersionRequired", Cell[ BoxData[ FrameBox[ Cell[ "Enter required Wolfram Language Version (e.g. 12.1+).", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> { "SectionMoreInfoCompatibilityWolframLanguageVersionRequired"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{ "TemplateGroupName" -> "CompatibilityWolframLanguageVersionRequired"}, DefaultNewCellStyle->"Text", FontSize->16, CellTags->{ "CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016], Cell["12.3+", "Text", CellTags->{"DefaultContent", "ScrapeDefault"}, CellID->913148768] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Operating System", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityOperatingSystem", Cell[ BoxData[ FrameBox[ Cell[ "Select all operating systems where your resource is expected to \ function properly.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibilityOperatingSystem"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{"TemplateGroupName" -> "CompatibilityOperatingSystem"}, DefaultNewCellStyle->"Item", FontSize->16, CellTags->{ "CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Windows", {False, "Windows"}], "\" \"", "\"Windows\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["MacOSX", {False, "MacOSX"}], "\" \"", "\"Mac\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Unix", {False, "Unix"}], "\" \"", "\"Unix\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxNkNuKwkAMhsEerLDsE/gKfQipCoJLF7PL7m0PUQenM8Mkg87bmwot3iX5/\ 3w5bIoSMuCoEfI6sAtcwrK6YnfD/pxQelTEsPxTprd3gvyr6Wr4h/\ TXqIc0HhgHmmznBaWnIKDZPgWzkkj/\ BJmLL9iELL69deg5wrqyg2tYtUorjrUUJTEXiCRDZcnasbLmxX6fTsWuV9y0EmX7RhPOwmqLGt+\ V8VKrw2CoSkr4PBhG77xYRjCsNiZCaAnlIx8nJBt8hz/RIRT7YLrR8wRtF2wJ"}, CellTags->{ "CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Required Features", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityFeatures", Cell[ BoxData[ FrameBox[ Cell[ TextData[{"Choose any other features that are ", Cell[ BoxData[ StyleBox[ StyleBox["required", "TI"], ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"]]], " in order to use your resource."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibilityFeatures"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{"TemplateGroupName" -> "CompatibilityFeatures"}, DefaultNewCellStyle->"Item", FontSize->16, CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Notebooks"}], "\" \"", "\"Notebooks\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Parallel Kernels"}], "\" \"", "\"Parallel Kernels\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Cloud Access"}], "\" \"", "\"Cloud Access\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxlUM1qwzAMHmuzJlDKLrv3BfIQIVugrKyl2gs4jsJMFdtY8sFvP2eDkLHb96cPSU1ZQw\ GSCOHpEsVHqWHXfqG+4zA+8PZsOCvFSXDicfPLx0fe3mKeqD6cYO/cnVdwcZ+vKigipOM7BovE/\ 5Ulu2/JxeHYaI3Mf1kN5TU4j0ESvLRu8kpMb8hI6lBJDJgTu4sX4+\ xP33pDLt8GI6rPqOgUMS5G9YqEa2c+21GcLLebGg4nKxh8yJG5GKrGJog9Y37G/\ obsYtD4mTxC2UWr58w3NfBx2Q=="}, CellTags->{ "CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Environments", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityEvaluationEnvironment", Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Select all evaluation environments where your resource is expected \ to be compatible. See ", Cell[ BoxData[ StyleBox[ TagBox[ ButtonBox[ StyleBox[ "$EvaluationEnvironment", "SymbolsRefLink", ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"], BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, { "Link"}]], ButtonData -> "paclet:ref/$EvaluationEnvironment", ContentPadding -> False], MouseAppearanceTag["LinkHand"]], ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"]]], " for more details."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibilityEvaluationEnvironment"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{"TemplateGroupName" -> "CompatibilityEvaluationEnvironment"}, DefaultNewCellStyle->"Item", FontSize->16, CellTags->{ "CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Session", {False, "Session"}], "\" \"", TemplateBox[{ "\"Session\"", "\"Local or cloud interactive session\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["WebEvaluation", {False, "WebEvaluation"}], "\" \"", TemplateBox[{ "\"WebEvaluation\"", "\"Cloud evaluation initiated by an HTTP request\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["BatchJob", {False, "BatchJob"}], "\" \"", TemplateBox[{"\"BatchJob\"", "\"Remote batch job\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Script", {False, "Script"}], "\" \"", TemplateBox[{"\"Script\"", "\"Script run in batch mode\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["WebAPI", {False, "WebAPI"}], "\" \"", TemplateBox[{ "\"WebAPI\"", "\"API called through an HTTP request\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, {"\<\"\"\>"} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Subkernel", {False, "Subkernel"}], "\" \"", TemplateBox[{"\"Subkernel\"", "\"Parallel or grid subkernel\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["Scheduled", {False, "Scheduled"}], "\" \"", TemplateBox[{"\"Scheduled\"", "\"Scheduled task\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, {"\<\"\"\>"} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxdUdFqwzAMhK1tEtj2EXvPR3RpChmDlmqw58RRialjG0su5O/\ nlMTJ9mRJd9yd5H2awxZ4UAi7k2frOYek6FDcsL0mtPmSxJAAEkmjYQfCScuQgW9u6DQqeP3BprzXy\ tf8YIR2f64CQ3TYeoUtpB81i+7TNMGpYuxp1r0+0eYSKIv+XERkNpzeOF8FWMqI/\ sv0t120p6jTu9KO0ZcyonGb9V7p2RmLjgd4L0xvg08jleRhcS31XTqje9TjgU92nNEouj4EpWUruW5\ CtT3WijAC2QEVrpHxl4zyvabiOYe3SjM66wLlsXG210M4C2Ewe7kgGe8Efg82xD96LUbOL+VQrkA=\ "}, CellTags->{ "CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Cloud Support", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityCloudSupport", Cell[ BoxData[ FrameBox[ Cell[ "Specify whether your resource is expected to work in the public \ cloud.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibilityCloudSupport"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{"TemplateGroupName" -> "CompatibilityCloudSupport"}, DefaultNewCellStyle->"Text", FontSize->16, CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[True, {False, True}], "\" \"", "\"Supported in cloud\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxNjkEKwkAMRVGqVhAX7tx5gR5Cq0JBqBgvUNsUB6eTYZIsentnQMVdyH/vJ/\ u8gBnIaBHmtYpXKWBRPrF9YddPOLsYFs7uQTFyleDA320/\ 5eym0duAek9BsNsZt2stafc18msgj0FG2JY0+EbMw1gjY5mgjxbv1V4MOU6N/\ 82cnzojzSNOs3NjGX/B8ogW/5P0NFkdHJeTAtaVEww+RCQVw+\ JAZLFxBaxuyKShxfvoEfKzujYRb6FXWpA="}, CellTags->{ "CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484] }, Closed]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Author Notes", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Author Notes", Cell[ BoxData[ FrameBox[ Cell[ "This section, when used, will appear near the bottom of the \ published resource. Content displayed in this section can include background, \ possible improvements, additional information and/or implementation details \ that are otherwise beyond the scope of the function documentation.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoAuthorNotes"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Author Notes"}, DefaultNewCellStyle->"Text", CellTags->{"Author Notes", "TemplateCellGroup"}, CellID->681870591], Cell[TextData[{ "The ", ButtonBox["Python RandomMandala package", BaseStyle->"Hyperlink", ButtonData->{ URL["https://pypi.org/project/RandomMandala/"], None}, ButtonNote->"https://pypi.org/project/RandomMandala/"], " was implemented in order to compare it with this repository function (and, \ hence, compare Python and the Wolfram Language)." }], "Text", CellChangeTimes->{{3.865699425610538*^9, 3.8656994438858337`*^9}}, CellID->917902228] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Submission Notes", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Submission Notes", Cell[ BoxData[ FrameBox[ Cell[ "Enter any additional information that you would like to communicate \ to the reviewer here. This section will not be included in the published \ resource.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoSubmissionNotes"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Submission Notes"}, DefaultNewCellStyle->"Text", CellTags->{"Submission Notes", "TemplateCellGroup"}, CellID->916799765], Cell["Additional information for the reviewer.", "Text", CellEventActions->{Inherited, {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]], PassEventsDown -> False, PassEventsUp -> False}, CellTags->{"DefaultContent", "TabNext"}, CellID->604291542] }, Open ]] }, Open ]] }, WindowSize->Automatic, WindowMargins->Automatic, WindowTitle->"RandomMandala | Definition Notebook", TaggingRules->{"CompatibilityTest" -> HoldComplete[ BinaryDeserialize[ BaseDecode[ "OEM6eJzVWVtT20YUrjEQBhxaMulMkyc98EAyadJpO9NL2iauDcQdIMCa9JW1dGQ0rHeV3RWg\ X9a/17MrydhGciTbTFNPJsja1XfOnut3LH9JPWqJQSgi7u3ehBKUCgT3a2rlJApA+/nLS2qp4+P/\ 9Sb38M/K7seIMrW5/QGkWT+KBj2Q0refnbdmB6EDOMGLRiuSErj+QFkE/\ hfq0e4VXlFtnhIaekJc4q7lg0Bp1ejSfj/g/dOIgSKNU1Aiki504xDIcptqimouv+\ cuFGq58icT7qXZlgButwTXcKOPqb7w60UnPwLwFNnJ5JFYaRi0WIBqn7fBD3gwqu757SOOUSp7LG+\ rWj6KGEPFXt5dTAWcQh9VBYma+kE/ktY0w+O+KavUKYRCBVrIOAFMcFQKVLf+\ q6m1PRqwSKJnaurhMXUZ6A5XmjJGvinS0F+\ dxdgzmbXRFWOeWSdaYjz8JQIjr35IQ3uGiLvmSX8lkUyeFBrXKkeVCeuNBIuELNDmNmFCt2qkdk6Wf\ v195MbS63WrPMavIs/KKv/\ cXy6wUp2AkbfeFtfcJoFSv5RFzS7eRxrdCJ5JqHX0NKMuNDGuFgi7YZKuDYzG4CHuxjvBPHQkBiZXf\ 5QFPpbBFQKeXyVlYV8CfpPqwRlXaTnIsUa7KjoNQ+DeGb+\ g3GPgtYAxNdUwi5IwxUb4tbKVXITFipcikK0uDPAAGoy4fSmicH5QzN1Gk5krLAdXGNBft3BTX8gA1\ LetC3Ave+IGb2/e3jbSSSNbs982UR6NmLb5zXWOpuTL7BaBJDdzXV26mg0doS674iz08Dqt+\ 8VeXgD4mIPreONBlgJr+0z0KDu/MC1t1KLqp7Ji90G/\ CzwPeFKIyqfrHuVu3LoQgQvtgDLRH1WskSomNXZJ7K9YlCm/\ zFOd4uqWXTU9icDHCPDU5FFqAeZlAk+\ wXQzPOy5gBCxrKStdGdnUnrNKVGl22UUWdCkNUd9XVYH3quRYSmUmpY5ZKLPnEVwP7Zlr4yRB1GFVl\ bcjBQfQp27c6XMhk+qU+VotG2/kJ9/rspJycCcSb1oazilmWo1dUqsH+\ KQtjHtV7dYHnZWxcYkLSyVMiQ3UHLAuUgXqPtQtzEak0JY1r5rdnbbJS6ufetDBmt3HSF3rcCss/\ oSR60OtCw6eApeue9mJ1LAz3IHt3Vp7KH5EZk3tVm6DlAseuJQdSxECWsvyuVl1HlE0f4hYSotho6m\ UcAPLvU9Us3Juh6m2JEb144GJobWmJSNdsRg4GyZkk1igQ9DUM/\ NBOoGRtVagkwHkSbLj1Sn4IE10O9nSbXVZjFdGhE6olUxPwxkqGUGXD9Dmd0bPL+zn+\ VucCeYZVqZMEhX4/fNClGqEvhrONAb/YyESDoGXtA/ERYdU4+1nhZhJt8uLg0TYzET+3kROZ/\ YlrVeGz88E9Zmx+OP5vVCB1t+HtFl4/k6hHpPEvjht/ydMfqZqgQDffbJeTVLn1tzOtQz+\ VSHMfVD2YqXHzDMzUX9RiD8fM6+KW5aK/1bOHv8tAZ9Lyc+Idv9ceA7iShpi/ZnMkHl49+\ uS7SqXbc+s6ox0uzPlN/bsx3HMtiicFDuddi8UdpH0ex7nlCTdtbHf2yfeAuUz8R/sZ+etcc9oqyP/\ 1LoXgXJ4qqpjqBiVytHC6YHj2i7iOb4UA4c6HK5BOmmHeeEogf8G4Pi4KcIocAY0NkjOtZCIpBy4CT\ F2wHvptIUTi8i5DtSFgdYydmikxQAPizZgseMKjrgaw8/RYwrhboqrgxC39hhk0t/cTg/\ 1dHpYy6aH8TlCbaLrk2YjJJVx4TBiHTj5bmz4CqLgfdhDgg6L1CGioG9x+\ xY6tG9AO9zDs2EcDuvRetMalxpasHaEJNB0BOvNVRIPeoKRp8nbn0PKEUyeJ9+Snkce5811pZ/+\ KouXDOV2vNqeXMp9D7QyIujZnSeKiMG4/\ WyabbVsUI30dbWyR5mC4Y6npzAQV7A7CHW8e0ORJGTUV01ufdzMGR2GbTwVmCj3d8A9cd0NNHoiRcl\ 98fkvn3IKDA=="]]], "CreationTimestamp" -> 3.866021590480352`16.339839264253495*^9, "DefinitionNotebookFramework" -> "DefinitionNotebookClient", "ResourceCreateNotebook" -> True, "ResourceType" -> "Function", "RuntimeConfiguration" -> { "LoadingMethod" -> "Paclet", "PacletName" -> "FunctionResource", "Contexts" -> { "FunctionResource`", "FunctionResource`DefinitionNotebook`"}, "DefaultContentMethod" -> "Legacy"}, "ToolsOpen" -> False, "UpdatedTimestamp" -> 3.866021590626104`16.33983926426987*^9, "VersionInformation" -> {"ResourceVersion" -> "2.2.0"}, "TemplateVersion" -> "1.6.3", "StatusMessage" -> "", "SubmissionReviewData" -> {"Review" -> False}}, CreateCellID->True, FrontEndVersion->"13.1 for Linux x86 (64-bit) (June 9, 2022)", StyleDefinitions->Notebook[{ Cell[ StyleData[StyleDefinitions -> "Default.nb"]], Cell[ StyleData[All, "Working"], DockedCells -> { Cell[ BoxData[ TemplateBox[{}, "MainGridTemplate"]], "DockedCell", CellMargins -> {{-10, -10}, {-8, -8}}, CellFrame -> 0, Background -> RGBColor[0.921569, 0.341176, 0.105882], CellTags -> {"MainDockedCell"}, CacheGraphics -> False], Cell[ BoxData[ TemplateBox[{}, "ToolsGridTemplate"]], "DockedCell", TaggingRules -> {"Tools" -> True}, CellTags -> {"ToolbarDockedCell"}, CellFrameMargins -> {{0, 0}, {2, 2}}, CellFrame -> {{0, 0}, {1, 0}}, CacheGraphics -> False, CellOpen -> Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ToolsOpen"}, True]]]}, PrivateNotebookOptions -> { "FileOutlineCache" -> False, "SafeFileOpen" -> "IgnoreCache"}, CellLabelAutoDelete -> False, CodeAssistOptions -> {"AutoDetectHyperlinks" -> False}, AutoQuoteCharacters -> {}], Cell["Hint Styles", "Section"], Cell[ StyleData["MoreInfoText", StyleDefinitions -> StyleData["Text"]], FontColor -> GrayLevel[0.25]], Cell[ StyleData["ErrorText", StyleDefinitions -> StyleData["Text"]], ShowCellBracket -> False, CellMargins -> {{66, Inherited}, {10, 10}}, CellElementSpacings -> {"CellMinHeight" -> 0, "ClosedCellHeight" -> 0}, FontWeight -> Bold, FontColor -> RGBColor[1, 0, 0]], Cell[ StyleData["WarningText", StyleDefinitions -> StyleData["Text"]], ShowCellBracket -> False, CellMargins -> {{66, 35}, {0, 0}}, FontSize -> 14, GridBoxOptions -> {BaseStyle -> {}}], Cell["Template Boxes", "Section"], Cell[ StyleData["MoreInfoOpenerIconTemplate"], TemplateBoxOptions -> { DisplayFunction -> (PaneSelectorBox[{False -> GraphicsBox[{ Thickness[0.09090909090909091], StyleBox[{ JoinedCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYC4vinF5RuVyo58OlumvteXcIBxj//Pfjx0tky Dh8v+SYJzFB0kGAJ49MtUnBYIKV/V4UNRis5GHKskYl6IuPwCaxO2eEcWJ+E QwLYHBUHfrC5InD+7CMKG4oy+OH81TJRKdb32eD6+w991YjpZ4CbD1L2s+6L Pcz+R1Ui69wfvrKHuQ/Gh7kfxvdLEoiw3CIM178BbA8f3PwJYJoDbn9JxsS3 NfZMcPcV2HJdX1zw1x7mfhgf5j8YH+Z/mH5Y+MDMh4UfzH5Y+MLchx7+ANUf raY= "], CurveClosed -> {1}]}, { JoinForm[{"Miter", 3.25}], Thickness[0.04581818181818182], RGBColor[0.627441, 0.627441, 0.627441, 1.]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGCQBGIQLTQ3t12zRcShJLdco9dU3mHepS6LtrvCcP4+Xv/m N77CDovcOdKu58g7FPjtSo+5KuTw57fmw+zb8g5K/ao+Z2KEHHRuqOoxqCo4 1OhH27UoCDnsSqhWX5aN4K+ZPvXO8oMI/txz6yeuFFeE67fRSpTaE6sIN79j 1cqy+5MV4fZf1fp0iemUItx9v7PEGkWeKjrA3A/jf+Fa9FHHQBTOX+1ud9n/ oChcv3mwk84kczG4+Yfi3FqvrBWD29+RcmLj1xdicPfB+DD3w/gw/8H0w/wP Mx8WPjD7YeEHcx8sfNHDHwBu/qSR "], CompressedData[" 1:eJxTTMoPSmViYGCQB2IQvf+bus9hGwmHDp1Dj7Lq+R1g/C8aMf2HvvI4TGr/ 8PXaHQEMPkz934jyRxrThRx4jt4OchAXgPMDH16pmH8JwZ97RmCl6XRBOP9D W/9jplQhOF+/1m7LFGNhOJ/l29N9k18i+AUfW5kZ2kXg/Ple3+bO/C4K5+fN DQ4+fUAMzt9xf9q57xnicH6N4AF++Q8IvqPzywC3cgk4PyFkivMkFkk4/4bL wedMMyQdDs1vE5FYJOBwYaHqp4u3EPzQT5dO7vwk5SCxtot3p4WYw73/Kfef X5RxYLv4XzxkhpjDona/Xv0OBH+hx9ZwiywJOB/mHxgf5l8Y30/526VcIyR+ 5Tb7vkQhON/3fNmadRME4fxHts2x9mcF4HxYfKDHLwCFIt67 "]}]}, { FaceForm[ RGBColor[0.627441, 0.627441, 0.627441, 1.]]}, StripOnInput -> False]}, ImageSize -> {11., 11.}, PlotRange -> {{0., 11.}, {0., 11.}}, AspectRatio -> Automatic], True -> GraphicsBox[{ Thickness[0.09090909090909091], StyleBox[{ JoinedCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYC4vinF5RuVyo58OlumvteXcIBxj//Pfjx0tky Dh8v+SYJzFB0kGAJ49MtUnBYIKV/V4UNRis5GHKskYl6IuPwCaxO2eEcWJ+E QwLYHBUHfrC5InD+7CMKG4oy+OH81TJRKdb32eD6+w991YjpZ4CbD1L2s+6L Pcz+R1Ui69wfvrKHuQ/Gh7kfxvdLEoiw3CIM178BbA8f3PwJYJoDbn9JxsS3 NfZMcPcV2HJdX1zw1x7mfhgf5j8YH+Z/mH5Y+MDMh4UfzH5Y+MLchx7+ANUf raY= "], CurveClosed -> {1}]}, { JoinForm[{"Miter", 3.25}], Thickness[0.04581818181818182], RGBColor[0.5, 0.5, 0.5, 1.]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYC4vinF5RuVyo58OlumvteXcIBxj//Pfjx0tky Dh8v+SYJzFB0kGAJ49MtUnBYIKV/V4UNRis5GHKskYl6IuPwCaxO2eEcWJ+E QwLYHBUHfrC5InD+7CMKG4oy+OH81TJRKdb32eD6+w991YjpZ4CbD1L2s+6L Pcz+R1Ui69wfvrKHuQ/Gh7kfxvdLEoiw3CIM178BbA8f3PwJYJoDbn9JxsS3 NfZMcPcV2HJdX1zw1x7mfhgf5j8YH+Z/mH5Y+MDMh4UfzH5Y+MLchx7+ANUf raY= "]]}, { FaceForm[ RGBColor[0.5, 0.5, 0.5, 1.]]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGCQBGIQLTQ3t12zRcShJLdco9dU3mHepS6LtrvCcP4+Xv/m N77CDovcOdKu58g7FPjtSo+5KuTw57fmw+zb8g5K/ao+Z2KEHHRuqOoxqCo4 1OhH27UoCDnsSqhWX5aN4K+ZPvXO8oMI/txz6yeuFFeE67fRSpTaE6sIN79j 1cqy+5MV4fZf1fp0iemUItx9v7PEGkWeKjrA3A/jf+Fa9FHHQBTOX+1ud9n/ oChcv3mwk84kczG4+Yfi3FqvrBWD29+RcmLj1xdicPfB+DD3w/gw/8H0w/wP Mx8WPjD7YeEHcx8sfNHDHwBu/qSR "], CompressedData[" 1:eJxTTMoPSmViYGCQB2IQvf+bus9hGwmHDp1Dj7Lq+R1g/C8aMf2HvvI4TGr/ 8PXaHQEMPkz934jyRxrThRx4jt4OchAXgPMDH16pmH8JwZ97RmCl6XRBOP9D W/9jplQhOF+/1m7LFGNhOJ/l29N9k18i+AUfW5kZ2kXg/Ple3+bO/C4K5+fN DQ4+fUAMzt9xf9q57xnicH6N4AF++Q8IvqPzywC3cgk4PyFkivMkFkk4/4bL wedMMyQdDs1vE5FYJOBwYaHqp4u3EPzQT5dO7vwk5SCxtot3p4WYw73/Kfef X5RxYLv4XzxkhpjDona/Xv0OBH+hx9ZwiywJOB/mHxgf5l8Y30/526VcIyR+ 5Tb7vkQhON/3fNmadRME4fxHts2x9mcF4HxYfKDHLwCFIt67 "]}]}, { FaceForm[ RGBColor[0.999985, 0.999985, 0.999985, 1.]]}, StripOnInput -> False]}, ImageSize -> {11., 11.}, PlotRange -> {{0., 11.}, {0., 11.}}, AspectRatio -> Automatic]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0]& )}], Cell[ StyleData["MoreInfoOpenerButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (AdjustmentBox[ DynamicModuleBox[{ RSNB`mPosRegion$$, RSNB`attachPos$$, RSNB`offsetPos$$, RSNB`horizontalRegion$$, RSNB`verticalRegion$$, RSNB`chooseAttachLocation$$}, TagBox[ TemplateBox[{ TemplateBox[{}, "MoreInfoOpenerIconTemplate"], "\"Click for more information\""}, "PrettyTooltipTemplate"], EventHandlerTag[{"MouseDown" :> AttachCell[ ParentBox[ EvaluationBox[]], #2, RSNB`chooseAttachLocation$$[], RemovalConditions -> {"EvaluatorQuit", "MouseClickOutside"}], Method -> "Preemptive", PassEventsDown -> Automatic, PassEventsUp -> True}]], DynamicModuleValues :> {{DownValues[RSNB`mPosRegion$$] = {HoldPattern[ RSNB`mPosRegion$$[]] :> RSNB`mPosRegion$$[ Ceiling[MousePosition["WindowScaled"] 3]], HoldPattern[ RSNB`mPosRegion$$[ Pattern[RSNB`reg, { Blank[Integer], Blank[Integer]}]]] :> RSNB`reg, HoldPattern[ RSNB`mPosRegion$$[ BlankNullSequence[]]] :> None}}, { DownValues[RSNB`attachPos$$] = {HoldPattern[ RSNB`attachPos$$[{ Pattern[RSNB`h$, Blank[Integer]], Pattern[RSNB`v$, Blank[Integer]]}]] :> { RSNB`horizontalRegion$$[RSNB`h$], RSNB`verticalRegion$$[RSNB`v$]}}}, { DownValues[RSNB`offsetPos$$] = {HoldPattern[ RSNB`offsetPos$$[{ Pattern[RSNB`h$, Blank[Integer]], Pattern[RSNB`v$, Blank[Integer]]}]] :> { RSNB`horizontalRegion$$[4 - RSNB`h$], RSNB`verticalRegion$$[4 - RSNB`v$]}}}, { DownValues[RSNB`horizontalRegion$$] = {HoldPattern[ RSNB`horizontalRegion$$[1]] :> Left, HoldPattern[ RSNB`horizontalRegion$$[2]] :> Center, HoldPattern[ RSNB`horizontalRegion$$[3]] :> Right}}, { DownValues[RSNB`verticalRegion$$] = {HoldPattern[ RSNB`verticalRegion$$[1]] :> Top, HoldPattern[ RSNB`verticalRegion$$[2]] :> Top, HoldPattern[ RSNB`verticalRegion$$[3]] :> Top}}, { DownValues[RSNB`chooseAttachLocation$$] = {HoldPattern[ RSNB`chooseAttachLocation$$[]] :> With[{RSNB`p$ = RSNB`mPosRegion$$[]}, Apply[Sequence, { RSNB`offsetPos$$[RSNB`p$], {-30, 30}, RSNB`attachPos$$[RSNB`p$]}]]}}}], BoxBaselineShift -> -0.5, BoxMargins -> 0.2]& )}], Cell[ StyleData["InlineMoreInfoOpenerButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (AdjustmentBox[ DynamicModuleBox[{ RSNB`mPosRegion$$, RSNB`attachPos$$, RSNB`offsetPos$$, RSNB`horizontalRegion$$, RSNB`verticalRegion$$, RSNB`chooseAttachLocation$$}, TagBox[ TemplateBox[{ TemplateBox[{}, "MoreInfoOpenerIconTemplate"], #4}, "PrettyTooltipTemplate"], EventHandlerTag[{"MouseDown" :> AttachCell[ ParentBox[ EvaluationBox[]], #2, RSNB`chooseAttachLocation$$[], RemovalConditions -> {"EvaluatorQuit", "MouseClickOutside"}], Method -> "Preemptive", PassEventsDown -> Automatic, PassEventsUp -> True}]], DynamicModuleValues :> {{DownValues[RSNB`mPosRegion$$] = {HoldPattern[ RSNB`mPosRegion$$[]] :> RSNB`mPosRegion$$[ Ceiling[MousePosition["WindowScaled"] 3]], HoldPattern[ RSNB`mPosRegion$$[ Pattern[RSNB`reg, { Blank[Integer], Blank[Integer]}]]] :> RSNB`reg, HoldPattern[ RSNB`mPosRegion$$[ BlankNullSequence[]]] :> None}}, { DownValues[RSNB`attachPos$$] = {HoldPattern[ RSNB`attachPos$$[{ Pattern[RSNB`h$, Blank[Integer]], Pattern[RSNB`v$, Blank[Integer]]}]] :> { RSNB`horizontalRegion$$[RSNB`h$], RSNB`verticalRegion$$[RSNB`v$]}}}, { DownValues[RSNB`offsetPos$$] = {HoldPattern[ RSNB`offsetPos$$[{ Pattern[RSNB`h$, Blank[Integer]], Pattern[RSNB`v$, Blank[Integer]]}]] :> { RSNB`horizontalRegion$$[4 - RSNB`h$], RSNB`verticalRegion$$[4 - RSNB`v$]}}}, { DownValues[RSNB`horizontalRegion$$] = {HoldPattern[ RSNB`horizontalRegion$$[1]] :> Left, HoldPattern[ RSNB`horizontalRegion$$[2]] :> Center, HoldPattern[ RSNB`horizontalRegion$$[3]] :> Right}}, { DownValues[RSNB`verticalRegion$$] = {HoldPattern[ RSNB`verticalRegion$$[1]] :> Top, HoldPattern[ RSNB`verticalRegion$$[2]] :> Top, HoldPattern[ RSNB`verticalRegion$$[3]] :> Top}}, { DownValues[RSNB`chooseAttachLocation$$] = {HoldPattern[ RSNB`chooseAttachLocation$$[]] :> With[{RSNB`p$ = RSNB`mPosRegion$$[]}, Apply[Sequence, { RSNB`offsetPos$$[RSNB`p$], {-30, 30}, RSNB`attachPos$$[RSNB`p$]}]]}}}], BoxBaselineShift -> -0.5, BoxMargins -> 0.2]& )}], Cell[ StyleData["ClickToCopyTemplate"], TemplateBoxOptions -> { DisplayFunction -> (PaneSelectorBox[{False -> TagBox[ GridBox[{{#, ButtonBox[ GraphicsBox[{ GrayLevel[0.85], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, { 9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, {16.5, 4.5}, { 16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, {15.75, 17.25}, { 15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, { 8.25, 18.}}, {{9.75, 17.25}, {12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, { 14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{8.25, 12.}, { 14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], ButtonFunction :> Null, Appearance -> { "Default" -> None, "Hover" -> None, "Pressed" -> None}, Evaluator -> Automatic, Method -> "Preemptive"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], True -> DynamicModuleBox[{RSNB`clickTime$$ = 0., RSNB`timeout$$ = 3.}, TagBox[ GridBox[{{#, TagBox[ ButtonBox[ DynamicBox[ ToBoxes[ Refresh[ If[AbsoluteTime[] - RSNB`clickTime$$ > RSNB`timeout$$, RawBoxes[ TemplateBox[{ PaneSelectorBox[{False -> GraphicsBox[{ GrayLevel[0.65], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], True -> GraphicsBox[{ RGBColor[0.988235, 0.419608, 0.203922], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0], "\"Click to copy to the clipboard\""}, "PrettyTooltipTemplate"]], RawBoxes[ TemplateBox[{ GraphicsBox[{ RGBColor[0, NCache[2/3, 0.6666666666666666], 0], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], "\"Copied\""}, "PrettyTooltipTemplate"]]], UpdateInterval -> 1, TrackedSymbols :> {RSNB`clickTime$$}], StandardForm], Evaluator -> "System"], ButtonFunction :> (RSNB`clickTime$$ = AbsoluteTime[]; CopyToClipboard[ BinaryDeserialize[ BaseDecode[#2], Defer]]), Appearance -> { "Default" -> None, "Hover" -> None, "Pressed" -> None}, Method -> "Queued", Evaluator -> "System"], MouseAppearanceTag["LinkHand"]]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], DynamicModuleValues :> {}]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0]& )}], Cell[ StyleData["PrettyTooltipTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TagBox[ TooltipBox[#, FrameBox[ StyleBox[#2, "Text", FontColor -> RGBColor[0.537255, 0.537255, 0.537255], FontSize -> 12, FontWeight -> "Plain", FontTracking -> "Plain", StripOnInput -> False], Background -> RGBColor[0.960784, 0.960784, 0.960784], FrameStyle -> RGBColor[0.898039, 0.898039, 0.898039], FrameMargins -> 8, StripOnInput -> False], TooltipDelay -> 0.1, TooltipStyle -> {Background -> None, CellFrame -> 0}], Annotation[#, Framed[ Style[ RSNB`$$tooltip, "Text", FontColor -> RGBColor[0.537255, 0.537255, 0.537255], FontSize -> 12, FontWeight -> "Plain", FontTracking -> "Plain"], Background -> RGBColor[0.960784, 0.960784, 0.960784], FrameStyle -> RGBColor[0.898039, 0.898039, 0.898039], FrameMargins -> 8], "Tooltip"]& ]& )}], Cell[ StyleData["ToolsGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ TagBox[ GridBox[{{ FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Template Input\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Format selection automatically using appropriate \ documentation styles\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 2790153672590285854; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Template Input"; DefinitionNotebookClient`TemplateInput[]]]], DefinitionNotebookClient`ButtonCodeID[ 2790153672590285854]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Literal Input\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Format selection as literal Wolfram Language code\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 4138174468017918531; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Literal Input"; DefinitionNotebookClient`LiteralInput[]]]], DefinitionNotebookClient`ButtonCodeID[ 4138174468017918531]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Insert Delimiter\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Insert example delimiter\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 1887802176716758884; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Insert Delimiter"; DefinitionNotebookClient`DelimiterInsert[]]]], DefinitionNotebookClient`ButtonCodeID[ 1887802176716758884]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Subscripted Variable\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Insert subscripted variable placeholder\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3787878858871814623; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Subscripted Variable"; DefinitionNotebookClient`SubscriptInsert[]]]], DefinitionNotebookClient`ButtonCodeID[ 3787878858871814623]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], ActionMenuBox[ FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ TemplateBox[{ "\"Tables\"", "\"\[ThinSpace]\[ThinSpace]\[ThinSpace]\ \[FilledDownTriangle]\""}, "RowDefault"], "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Table functions\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3216557251994556740; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[Null]]], DefinitionNotebookClient`ButtonCodeID[ 3216557251994556740]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], { "\"Insert table with two columns\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 5800166344906378520; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Insert table with two columns"; DefinitionNotebookClient`TableInsert[2]]]], DefinitionNotebookClient`ButtonCodeID[ 5800166344906378520]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Insert table with three columns\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 533841403879783297; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Insert table with three columns"; DefinitionNotebookClient`TableInsert[3]]]], DefinitionNotebookClient`ButtonCodeID[ 533841403879783297]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Add a row to the selected table\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 4413051590217973467; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Add a row to the selected table"; DefinitionNotebookClient`TableRowInsert[]]]], DefinitionNotebookClient`ButtonCodeID[ 4413051590217973467]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Sort the selected table\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 9150037060110806081; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Sort the selected table"; DefinitionNotebookClient`TableSort[]]]], DefinitionNotebookClient`ButtonCodeID[ 9150037060110806081]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Merge selected tables\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 2347719643166780208; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Merge selected tables"; DefinitionNotebookClient`TableMerge[]]]], DefinitionNotebookClient`ButtonCodeID[ 2347719643166780208]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]]}, Appearance -> None, Method -> "Queued"], ActionMenuBox[ FrameBox[ ButtonBox[ StyleBox[ TemplateBox[{ "\"Cells\"", "\"\[ThinSpace]\[ThinSpace]\[ThinSpace]\[FilledDownTriangle]\ \""}, "RowDefault"], "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3216557251994556740; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[Null]]], DefinitionNotebookClient`ButtonCodeID[ 3216557251994556740]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], { "\"Insert comment for reviewer\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 2572781756330727330; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Cells"; DefinitionNotebookClient`$ClickedAction = "Insert comment for reviewer"; DefinitionNotebookClient`CommentInsert[]]]], DefinitionNotebookClient`ButtonCodeID[ 2572781756330727330]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Mark/unmark selected cells as comments\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3646530685697756512; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Cells"; DefinitionNotebookClient`$ClickedAction = "Mark/unmark selected cells as comments"; DefinitionNotebookClient`CommentToggle[]]]], DefinitionNotebookClient`ButtonCodeID[ 3646530685697756512]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Mark/unmark selected cells as excluded\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 1866935765212102190; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Cells"; DefinitionNotebookClient`$ClickedAction = "Mark/unmark selected cells as excluded"; DefinitionNotebookClient`ExclusionToggle[]]]], DefinitionNotebookClient`ButtonCodeID[ 1866935765212102190]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]]}, Appearance -> None, Method -> "Queued"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxBackground -> {"Columns" -> {{None}}, "Rows" -> { GrayLevel[0.9]}}, GridBoxFrame -> { "Columns" -> False, "RowsIndexed" -> {1 -> GrayLevel[0.9]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {5, {0.5}, 5}, "Rows" -> {{Automatic}}}, FrameStyle -> GrayLevel[0.75]], "Grid"], ButtonBoxOptions -> {Enabled -> Dynamic[ Not[ TrueQ[DefinitionNotebookClient`$ButtonsDisabled]], TrackedSymbols :> {DefinitionNotebookClient`$ButtonsDisabled}]}, StripOnInput -> False]& )}], Cell[ StyleData["MainGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.022222222222222223`], { FaceForm[{ RGBColor[0.87451, 0.278431, 0.03137260000000001], Opacity[1.]}], FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{45., 22.5}, {45., 10.073999999999998`}, {34.926, 0.}, {22.5, 0.}, {10.074, 0.}, {0., 10.073999999999998`}, {0., 22.5}, {0., 34.926}, {10.074, 45.}, {22.5, 45.}, { 34.926, 45.}, {45., 34.926}, {45., 22.5}}}]}, { FaceForm[{ RGBColor[1., 1., 1.], Opacity[1.]}], FilledCurveBox[{{{0, 2, 0}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGAwAWIQLcESxqe7SdlhqnN3zvPblg4w/omyffOl/K0cEp9e ULq9U9lhT8lkCZZrVg6VL9UMOd4oO1SLrHN/GGXtcKUCKOCh4sDDpN0udtPa 4fnvlR8v8ao6ZIE12ELMrVZzmAIymNfOAWj43PfpGg45YIV2Dguk9O+qsGlB 9M+0h9gjpgOxh8fBYePc98uPees5MICAggNE/TF9B6Bl574rO0DcMcsAwmd2 cNCM6T/0VcPQAeQsjh6oeWWGEPt97R3UDTnWyMwyhKh7Yefw5S/QB22GEHe1 2zlIg5yTaAh3by7InUKGDmBnLrR1cOkGudzAYZHrts9/Q2wdHi+dfUShwMBh Q1HGxLcytg5BO+RaXwsaQN1r6/BdA2jRVn1oeNk6aIEcWq4HcccvWwfTuF2e PEy6UPPtHIC+CH68VBvOP70QaNFeLTg/T6j5wKlELYdPl3yTBCLsIOGkowVx 71tbhycg93zQdAjonZ4ndNgGzgern2ENVw90TZVInhUkfqy1IO65ZQl3L4wP iW99B/NOx4SnEyzh4Q+W32XhcBUc0PoQd7dawM1D568H2cdnCOd/A9nzVc/h I9hdWg4ZoIg6oueQD/Kfoh40nSD4fkDfWpboQOw7oYDBh6mHxIcy3DxYek4A peOfCD7MPTA+zL0yUSnW9/sV4Hxw/DgpQOL7igUkfi8qwsMHAHSDTZ8= "], {{19.051000000000002`, 14.242}, {19.051000000000002`, 27.594}, {23.828, 27.594}, {23.828, 26.543}, {21.426, 26.308999999999997`}, {21.375, 26.258000000000003`}, { 21.375, 24.219}, {21.375, 17.535000000000004`}, {21.375, 15.602}, {21.426, 15.547}, {23.828, 15.315999999999999`}, {23.828, 14.242}}, {{24.578, 18.75}, {24.578, 23.078000000000003`}, {24.578, 23.539}, { 24.953, 23.914}, {25.418, 23.91}, {29.746, 23.91}, { 30.203, 23.91}, {30.578, 23.539}, {30.578, 23.078000000000003`}, {30.578, 18.75}, { 30.581999999999997`, 18.288999999999998`}, {30.207, 17.91}, {29.746, 17.91}, {25.418, 17.91}, {24.953, 17.906}, {24.574, 18.285}, {24.578, 18.75}}, {{31.328, 14.242}, {31.328, 15.315999999999999`}, {33.684, 15.539000000000001`}, {33.789, 15.602}, {33.789, 17.641}, {33.789, 24.188}, {33.789, 26.227}, {33.684, 26.281}, {31.328, 26.512000000000004`}, {31.328, 27.586}, {36.113, 27.586}, {36.113, 14.234000000000002`}}}]}}, { ImageSize -> {Automatic, 32}, ImagePadding -> {{5, 0}, {0, 0}}, BaselinePosition -> Scaled[0.25], AspectRatio -> Automatic, Background -> RGBColor[0.988235, 0.419608, 0.203922], ImageSize -> {45., 45.}, PlotRange -> {{0., 45.}, {0., 45.}}}], StyleBox[ TagBox[ GridBox[{{ StyleBox[ "\"Function Resource\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", StripOnInput -> False], StyleBox[ "\"DEFINITION NOTEBOOK\"", FontFamily -> "Source Sans Pro", FontTracking -> "SemiCondensed", FontVariations -> {"CapsType" -> "AllSmallCaps"}, StripOnInput -> False]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "ColumnsIndexed" -> {2 -> RGBColor[1., 1., 1.]}, "Rows" -> {{None}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], FontSize -> 24, FontColor -> RGBColor[1., 1., 1.], StripOnInput -> False]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", TemplateBox[{ StyleBox[ TemplateBox[{ "\"Function Repository\"", "\" \[RightGuillemet] \""}, "RowDefault"], "Text", FontColor -> RGBColor[1., 1., 1.], StripOnInput -> False], "https://resources.wolframcloud.com/FunctionRepository"}, "HyperlinkURL"]}, { TemplateBox[{ TemplateBox[{ "\"Open Sample\"", "\"View a completed sample definition notebook\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 4393071033038384034; DefinitionNotebookClient`$ClickedButton = "Open Sample"; DefinitionNotebookClient`ViewExampleNotebook[ ButtonNotebook[]], DefinitionNotebookClient`ButtonCodeID[4393071033038384034]]& , "\"View a completed sample definition notebook\"", False}, "OrangeButtonTemplate"], TemplateBox[{ TemplateBox[{ "\"Style Guidelines\"", "\"View general guidelines for authoring resource \ functions\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 5906117565281445171; DefinitionNotebookClient`$ClickedButton = "Style Guidelines"; DefinitionNotebookClient`ViewStyleGuidelines[ ButtonNotebook[]], DefinitionNotebookClient`ButtonCodeID[5906117565281445171]]& , "\"View general guidelines for authoring resource functions\"", False}, "OrangeButtonTemplate"], TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{"\"Tools\"", PaneSelectorBox[{False -> GraphicsBox[{ RGBColor[1., 1., 1.], AbsoluteThickness[1.], LineBox[{{0, 0}, {0, 10}, {10, 10}, {10, 0}, {0, 0}}], LineBox[{{5, 2.5}, {5, 7.5}}], LineBox[{{2.5, 5}, {7.5, 5}}]}, ImageSize -> 9, PlotRangePadding -> 1.5], True -> GraphicsBox[{ RGBColor[1., 1., 1.], AbsoluteThickness[1.], LineBox[{{0, 0}, {0, 10}, {10, 10}, {10, 0}, {0, 0}}], LineBox[{{2.5, 5}, {7.5, 5}}]}, ImageSize -> 9, PlotRangePadding -> 1.5]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ToolsOpen"}, True]], BaselinePosition -> Scaled[0]]}}, GridBoxAlignment -> { "Columns" -> {{Automatic}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.35}}}], "Grid"], "\"Toggle documentation toolbar\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 5074018684552945401; DefinitionNotebookClient`$ClickedButton = "Tools"; DefinitionNotebookClient`ToggleToolbar[ ButtonNotebook[]], DefinitionNotebookClient`ButtonCodeID[5074018684552945401]]& , "\"Toggle documentation toolbar\"", False}, "OrangeButtonTemplate"], TagBox[ GridBox[{{"\"\"", "\"\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxDividers -> { "ColumnsIndexed" -> {2 -> True}, "Rows" -> {{False}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{2}}}, GridBoxSpacings -> {"Columns" -> {{0.5}}}, FrameStyle -> RGBColor[0.994118, 0.709804, 0.601961]], "Grid"], TemplateBox[{ TemplateBox[{ "\"Check\"", "\"Check notebook for potential errors\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 7891204313296928191; DefinitionNotebookClient`$ClickedButton = "Check"; DefinitionNotebookClient`CheckDefinitionNotebook[ ButtonNotebook[]], DefinitionNotebookClient`ButtonCodeID[7891204313296928191]]& , "\"Check notebook for potential errors\"", False}, "OrangeButtonTemplate"], TemplateBox[{ TemplateBox[{"\"Preview\"", "\"Generate a preview notebook\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 4299709568580201021; DefinitionNotebookClient`$ClickedButton = "Preview"; DefinitionNotebookClient`PreviewResource[ ButtonNotebook[], "Notebook"], DefinitionNotebookClient`ButtonCodeID[4299709568580201021]]& , "\"Generate a preview notebook\"", True}, "OrangeButtonTemplate"], ActionMenuBox[ TemplateBox[{ TemplateBox[{"\"Deploy\"", TemplateBox[{5}, "Spacer1"], "\"\[FilledDownTriangle]\""}, "RowDefault"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 1898445052439169298; Null, DefinitionNotebookClient`ButtonCodeID[1898445052439169298]]& , "\"\"", True}, "OrangeButtonTemplate"], { "\"Locally on this computer\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$SuppressDynamicEvents = True, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 8714502586816766511; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Deploy"; DefinitionNotebookClient`$ClickedAction = "Locally on this computer"; DefinitionNotebookClient`DisplayStripe[ ButtonNotebook[], DefinitionNotebookClient`DeployResource[ ButtonNotebook[], "Local"]]]]], DefinitionNotebookClient`ButtonCodeID[ 8714502586816766511]], CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"For my cloud account\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$SuppressDynamicEvents = True, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 1389539917011878958; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Deploy"; DefinitionNotebookClient`$ClickedAction = "For my cloud account"; DefinitionNotebookClient`DisplayStripe[ ButtonNotebook[], DefinitionNotebookClient`DeployResource[ ButtonNotebook[], "CloudPrivate"]]]]], DefinitionNotebookClient`ButtonCodeID[ 1389539917011878958]], CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Publicly in the cloud\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$SuppressDynamicEvents = True, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 5593410685219912767; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Deploy"; DefinitionNotebookClient`$ClickedAction = "Publicly in the cloud"; DefinitionNotebookClient`DisplayStripe[ ButtonNotebook[], DefinitionNotebookClient`DeployResource[ ButtonNotebook[], "CloudPublic"]]]]], DefinitionNotebookClient`ButtonCodeID[ 5593410685219912767]], CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"In this session only (without documentation)\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$SuppressDynamicEvents = True, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 8586347731213964380; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Deploy"; DefinitionNotebookClient`$ClickedAction = "In this session only (without documentation)"; DefinitionNotebookClient`DisplayStripe[ ButtonNotebook[], DefinitionNotebookClient`DeployResource[ ButtonNotebook[], "KernelSession"]]]]], DefinitionNotebookClient`ButtonCodeID[ 8586347731213964380]], CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]]}, Appearance -> None, Method -> "Queued"], ItemBox[ StyleBox[ DynamicBox[ ToBoxes[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "StatusMessage"}, ""], StandardForm], Initialization :> (CurrentValue[ EvaluationNotebook[], {TaggingRules, "StatusMessage"}] = "")], "Text", GrayLevel[1], StripOnInput -> False], ItemSize -> Fit, StripOnInput -> False], DynamicBox[ ToBoxes[ If[ CurrentValue[ EvaluationNotebook[], { TaggingRules, "SubmissionReviewData", "Review"}, False], RawBoxes[ TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.06349], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBWIWIGZigIEX9mCqQd8Bwv+Bnc/A54CiHs5HV6/ngJUP p2HmwdTp4FCHTvOhqYfZrw2lhdDk0fno6tHcD1PPwOSAnY+uns8BAE8cGz4= "]]}, { FaceForm[ RGBColor[1., 1., 1.]]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgB2IWIGZigAEJBwjNB6EblHHwX9ijqofxoeoYhKC0Bg4+ Hw4apk4Uap8aDr4QDhqqDu4uVRx8URw0TJ001D5lHHwJHDRUHYMclFbCwZfG QUPVNSjgp+HmIWgAG/wcEg== "]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJx10EEKgCAQhWGpFtEyEAYGggQj6RKeoSMErbuCR0/IWfTgCcPwy7fR9XrO u3fOTXWGOp2zM+ZvH2170nv+e2sFH0ijt45/XxJp9NgRPHYAb63kHhu9tf2H eU8aPfbS9kxawAvxnrSCx3c3XzbS6JX4RFrAS34B53ckaw== "]]}, { FaceForm[ RGBColor[1., 1., 1.]]}, StripOnInput -> False]}, ImageSize -> 15, PlotRange -> {{0., 15.75}, {0., 16.5}}, AspectRatio -> 1.15], "\"Submit Update\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{0}}, "ColumnsIndexed" -> {2 -> 0.5}, "Rows" -> {{0}}}], "Grid"], "\"Submit changes to update your resource submission\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3196298050911436087; DefinitionNotebookClient`$ClickedButton = "SubmitUpdate"; With[{RSNB`nb = ButtonNotebook[]}, DefinitionNotebookClient`DisplayStripe[RSNB`nb, DefinitionNotebookClient`SubmitRepositoryUpdate[RSNB`nb], "ShowProgress" -> True]], DefinitionNotebookClient`ButtonCodeID[ 3196298050911436087]]& , "\"Submit changes to update your resource submission\"", True}, "OrangeButtonTemplate"]], RawBoxes[ TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.06349], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBWIWIGZigIEX9mCqQd8Bwv+Bnc/A54CiHs5HV6/ngJUP p2HmwdTp4FCHTvOhqYfZrw2lhdDk0fno6tHcD1PPwOSAnY+uns8BAE8cGz4= "]]}, { FaceForm[ RGBColor[1., 1., 1.]]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgB2IWIGZigAEJBwjNB6EblHHwX9ijqofxoeoYhKC0Bg4+ Hw4apk4Uap8aDr4QDhqqDu4uVRx8URw0TJ001D5lHHwJHDRUHYMclFbCwZfG QUPVNSjgp+HmIWgAG/wcEg== "]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJx10EEKgCAQhWGpFtEyEAYGggQj6RKeoSMErbuCR0/IWfTgCcPwy7fR9XrO u3fOTXWGOp2zM+ZvH2170nv+e2sFH0ijt45/XxJp9NgRPHYAb63kHhu9tf2H eU8aPfbS9kxawAvxnrSCx3c3XzbS6JX4RFrAS34B53ckaw== "]]}, { FaceForm[ RGBColor[1., 1., 1.]]}, StripOnInput -> False]}, ImageSize -> 15, PlotRange -> {{0., 15.75}, {0., 16.5}}, AspectRatio -> 1.15], "\"Submit to Repository\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{0}}, "ColumnsIndexed" -> {2 -> 0.5}, "Rows" -> {{0}}}], "Grid"], "\"Submit your function to the Wolfram Function \ Repository\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3704832848557640569; DefinitionNotebookClient`$ClickedButton = "Submit"; With[{RSNB`nb = ButtonNotebook[]}, DefinitionNotebookClient`DisplayStripe[RSNB`nb, DefinitionNotebookClient`SubmitRepository[RSNB`nb], "ShowProgress" -> True]], DefinitionNotebookClient`ButtonCodeID[ 3704832848557640569]]& , "\"Submit your function to the Wolfram Function \ Repository\"", True}, "OrangeButtonTemplate"]]], StandardForm], Evaluator -> "System", SingleEvaluation -> True]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {-1 -> Right}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxBackground -> {"Columns" -> {{None}}, "Rows" -> { RGBColor[0.988235, 0.419608, 0.203922], RGBColor[0.921569, 0.341176, 0.105882]}}, GridBoxFrame -> { "Columns" -> False, "RowsIndexed" -> { 1 -> RGBColor[0.988235, 0.419608, 0.203922], 2 -> RGBColor[0.921569, 0.341176, 0.105882]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {5, {0.9}, 5}, "RowsIndexed" -> {1 -> 1.1, 2 -> 1.3, 3 -> 0.25}}, FrameStyle -> RGBColor[0.988235, 0.419608, 0.203922]], "Grid"], ButtonBoxOptions -> {Enabled -> Dynamic[ Not[ TrueQ[DefinitionNotebookClient`$ButtonsDisabled]], TrackedSymbols :> {DefinitionNotebookClient`$ButtonsDisabled}]}, StripOnInput -> False]& )}], Cell[ StyleData["ReviewerCommentLabelTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TagBox[ GridBox[{{#, TemplateBox[{ GraphicsBox[{ Thickness[0.022222222222222223`], { FaceForm[{ RGBColor[0.87451, 0.278431, 0.03137260000000001], Opacity[1.]}], FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{45., 22.5}, {45., 10.073999999999998`}, {34.926, 0.}, {22.5, 0.}, {10.074, 0.}, {0., 10.073999999999998`}, { 0., 22.5}, {0., 34.926}, {10.074, 45.}, {22.5, 45.}, {34.926, 45.}, {45., 34.926}, {45., 22.5}}}]}, { FaceForm[{ RGBColor[1., 1., 1.], Opacity[1.]}], FilledCurveBox[{{{0, 2, 0}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, { 1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, { 1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, { 0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGAwAWIQLcESxqe7SdlhqnN3zvPblg4w/omyffOl/K0cEp9e ULq9U9lhT8lkCZZrVg6VL9UMOd4oO1SLrHN/GGXtcKUCKOCh4sDDpN0udtPa 4fnvlR8v8ao6ZIE12ELMrVZzmAIymNfOAWj43PfpGg45YIV2Dguk9O+qsGlB 9M+0h9gjpgOxh8fBYePc98uPees5MICAggNE/TF9B6Bl574rO0DcMcsAwmd2 cNCM6T/0VcPQAeQsjh6oeWWGEPt97R3UDTnWyMwyhKh7Yefw5S/QB22GEHe1 2zlIg5yTaAh3by7InUKGDmBnLrR1cOkGudzAYZHrts9/Q2wdHi+dfUShwMBh Q1HGxLcytg5BO+RaXwsaQN1r6/BdA2jRVn1oeNk6aIEcWq4HcccvWwfTuF2e PEy6UPPtHIC+CH68VBvOP70QaNFeLTg/T6j5wKlELYdPl3yTBCLsIOGkowVx 71tbhycg93zQdAjonZ4ndNgGzgern2ENVw90TZVInhUkfqy1IO65ZQl3L4wP iW99B/NOx4SnEyzh4Q+W32XhcBUc0PoQd7dawM1D568H2cdnCOd/A9nzVc/h I9hdWg4ZoIg6oueQD/Kfoh40nSD4fkDfWpboQOw7oYDBh6mHxIcy3DxYek4A peOfCD7MPTA+zL0yUSnW9/sV4Hxw/DgpQOL7igUkfi8qwsMHAHSDTZ8= "], {{19.051000000000002`, 14.242}, {19.051000000000002`, 27.594}, {23.828, 27.594}, {23.828, 26.543}, {21.426, 26.308999999999997`}, {21.375, 26.258000000000003`}, { 21.375, 24.219}, {21.375, 17.535000000000004`}, {21.375, 15.602}, {21.426, 15.547}, {23.828, 15.315999999999999`}, { 23.828, 14.242}}, {{24.578, 18.75}, {24.578, 23.078000000000003`}, {24.578, 23.539}, {24.953, 23.914}, { 25.418, 23.91}, {29.746, 23.91}, {30.203, 23.91}, {30.578, 23.539}, {30.578, 23.078000000000003`}, {30.578, 18.75}, { 30.581999999999997`, 18.288999999999998`}, {30.207, 17.91}, {29.746, 17.91}, {25.418, 17.91}, {24.953, 17.906}, {24.574, 18.285}, {24.578, 18.75}}, {{31.328, 14.242}, {31.328, 15.315999999999999`}, {33.684, 15.539000000000001`}, {33.789, 15.602}, {33.789, 17.641}, { 33.789, 24.188}, {33.789, 26.227}, {33.684, 26.281}, { 31.328, 26.512000000000004`}, {31.328, 27.586}, {36.113, 27.586}, {36.113, 14.234000000000002`}}}]}}, { ImageSize -> 12, AspectRatio -> Automatic, Background -> None, ImageSize -> {45., 45.}, PlotRange -> {{0., 45.}, {0., 45.}}}], "Wolfram Function Repository Reviewer"}, "PrettyTooltipTemplate"]}}, GridBoxAlignment -> { "Columns" -> {{Automatic}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.25}}}], "Grid"]& )}], Cell[ StyleData["CommentCellLabelTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ TagBox[ GridBox[{{ StyleBox[#, FontSize -> 11]}, { StyleBox[ DynamicBox[ ToBoxes[ DateString[ TimeZoneConvert[ DateObject[#2, TimeZone -> 0]], { "Month", "/", "Day", "/", "Year", " ", "Hour24", ":", "Minute"}], StandardForm], SingleEvaluation -> True], FontSize -> 9]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{Automatic}}, "Rows" -> {{0}}}], "Grid"], "CommentLabel", ShowStringCharacters -> False]& )}], Cell[ StyleData["OrangeButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (FrameBox[ ButtonBox[ StyleBox[#, "Text", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontTracking -> "Condensed", FontSize -> 13, FontColor -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], GrayLevel[1], RGBColor[0.9568627450980391, 0.8019607843137255, 0.75]], Evaluator -> "System"], StripOnInput -> False], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[]}, If[#4, CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]]; With[{RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3145484069433207908; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ #2[]]]], DefinitionNotebookClient`ButtonCodeID[3145484069433207908]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]]; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; Null], FrameMargins -> {{5, 5}, {0, 0}}, Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4HW4NCWIDoa8CJZ47CsMQUA2qYY8cOe/Zsl82ZQBGQFF gOLEGPI8UOymHTtE1xUkE+BsoCxQDR5DgLJotuNCyOagGQJ3A0EEVInVEKB/ iTQBguDhg2wIZkjiR0D1EI2Q1AiJTbSQxI8gKiHxzgAGlBtCFZdQMUyoFTtU SSfUSrFUyTvUysVULE9IQlQ0BD8gprQHAOYEDp4= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4HW4NCWIDoY8DpK86ikKQUA2qYacdhZaZ8CxXJsNGQFF gOLEGHLfX3yHOTeadmQElAWqwWMIUBaPdmSEbA6aIRA3rMCrfQXMPVgNAfqX SGdAEDx8kA3BDEn8CKgeohGSGiGxSZIJEASJdwYwoNwQqriEimFCrdihSjqh VoqlSt6hVi6mYnlCEqKiIfgBMaU9AAiH5q8= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4HW4NCWIDoa8zTb72JMMQUA2qYZ8Wdr69/1LNF8DRYDi xBjyvsz115UjEPFvL589PbgNgoBsiCBQFqgGjyFAWYjIpwe3D2YFLNdmQ0ZA EaA4RAGyOWiGQNzw/ubllQY8aCZAEFAcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+y IZCQxPQFJgKqgYQzRCMkNUJiExKSBE2AIEg4Q+KdAQwoN4QqLqFimFArdqiS TqiVYqmSd6iVi6lYnpCEqGgIfkBMaQ8AIISqgg== "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> RGBColor[0.921569, 0.341176, 0.105882], Method -> "Queued", ImageSize -> {All, 23}, Evaluator -> Automatic], FrameStyle -> Directive[ RGBColor[0.921569, 0.341176, 0.105882], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False]& )}], Cell[ StyleData["SuggestionGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ FrameBox[ AdjustmentBox[ TagBox[ GridBox[{{ TemplateBox[{#2, #3, {16., 16.}, {{1., 17.}, {1., 17.}}}, "SuggestionIconTemplate"], PaneBox[#, ImageSizeAction -> "ShrinkToFit", BaselinePosition -> Baseline, ImageSize -> Full], RowBox[{ AdjustmentBox[ TemplateBox[{ ActionMenuBox[ TagBox[ PaneSelectorBox[{False -> GraphicsBox[{ EdgeForm[ Directive[ GrayLevel[1, 0], Thickness[0.025]]], FaceForm[#4], RectangleBox[{-1.75, -2}, {1.75, 2}, RoundingRadius -> 0.2], Thickness[0.15], #5, LineBox[{{-0.5, -1.}, {0.5, 0.}, {-0.5, 1.}}]}, ImageSize -> {Automatic, 15}, ImageMargins -> 0], True -> GraphicsBox[{ EdgeForm[ Directive[#5, Thickness[0.025]]], FaceForm[#2], RectangleBox[{-1.75, -2}, {1.75, 2}, RoundingRadius -> 0.2], Thickness[0.15], GrayLevel[1], LineBox[{{-0.5, -1.}, {0.5, 0.}, {-0.5, 1.}}]}, ImageSize -> {Automatic, 15}, ImageMargins -> 0]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0], MouseAppearanceTag["LinkHand"]], #6, Appearance -> None, Method -> "Queued"], "\"View suggestions\""}, "PrettyTooltipTemplate"], BoxBaselineShift -> -0.5], " "}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {Automatic, Automatic, Fit}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], BoxMargins -> {{0.25, -0.5}, {0.15, -0.15}}], RoundingRadius -> {13, 75}, Background -> #4, FrameStyle -> None, FrameMargins -> {{0, 8}, {0, 0}}, ImageMargins -> {{0, 0}, {5, 5}}, StripOnInput -> False], "Text", FontColor -> #5, FontSize -> 14, FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontTracking -> "Plain", PrivateFontOptions -> {"OperatorSubstitution" -> False}, LineBreakWithin -> False]& )}], Cell[ StyleData["SuggestionIconTemplate"], TemplateBoxOptions -> {DisplayFunction -> (GraphicsBox[{ Thickness[0.05555555555555555], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGZigIIGAwcIQ8kBxk94ekHp9k9Vh4qXaoYcOfoO m+a+X37stKZDbP+hrxpzdOA0TBymDqYPl7n2pnG7PHlk4PzZRxQ2FGWIwPWD jI3p54WbLxuVYn3fnwluD8S8H/Yo9gD5KPYA+TB7YPph9sDMh9EwcZg6FPdh MRfdXpi7YPph7oaZD/MXzB5c4QCzBwA8nn+Z "]]}, FaceForm[#]], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{8.175292500000001, 7.416875}, {7.796855000000001, 11.3084375}, {7.796855000000001, 13.38}, {10.11998, 13.38}, {10.11998, 11.3084375}, { 9.741542500000001, 7.416875}, {8.175292500000001, 7.416875}}, CompressedData[" 1:eJxTTMoPSmViYGCQBGIQ/cTvZcLf/4oOD6tE1rk/5HNQjDzAkqeL4FsusdsW 1KjgwAAGAg7hCSdehX2Xd5BvfR24Q07QwaZCOJPjjZyDHdf1xQW2Qg56LJYa iWlyDv2HvmrEzBeG80GmVbmIwvkvtjT6Sb8Qg+t/BLLPUwJuPti6DEm4/WD7 2qTg7gMZJyIm7QBzP4y/zEVob88lJTi/7+dk7hV1ynD9c3LzfPxZVODmr3ro 0futUwVu/0bpbbqnzqjA3Qfjw9wP48P8B9MP8z/MfFj4wOyHhR/MfbDwRQ9/ ACBxmlc= "]}]}, FaceForm[#2]]}, ImageSize -> #3, PlotRange -> #4, AspectRatio -> Automatic, BaselinePosition -> Scaled[0.1]]& )}], Cell[ StyleData["FormEditValuesButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TemplateBox[{ TagBox[ PaneBox[ PaneSelectorBox[{False -> GraphicsBox[ TagBox[ RasterBox[CompressedData[" 1:eJzNWHlMVEcYf28XlGM5VlcRapRDDFK0sBaLBWVXUDxTKpe4JgvoQlALAsvV hHIoV4KK6wGiQlUqoqDcKKysDSZtPZJWTTzaxGrV2mqrNtqKB3Qnz8+Zd6Cv tn90vkgyv+/4zc58M9/3dEtIXZoooSgqw8r8Z2l8tjo9PT43wtE8iUrJSE5K 0a1akKLXJenSAxKkZlD58h9y+X+M8Z7a/I3G7V/lHQgKp2kGmzw9rcrQb+j/ ZItPIGBvNywsVVGVJ01DWAqbpBYUFZ1hGsTYvssRqTLHt4nvoIgvbP6ZjM+I Nt9PzUePPdbvcvX+ZwzTQ9vv8yMh6R04fFNY0/ciOkM8wzjXY4+F47xJgiPF cqRuY3kOlnUGLFq4khsv53NPv8zd7NXs/lYsR+158Gm9l1Tu7IYwmq7oJaMd uWMnR7jMMXLd/isYt7UXx4F9Rjtj1NmNXPPsCKyh6S9+AHzUOHEcpR3gMWM+ iQdHrq1kZFkmidvYQS633399ZBf31G21F/ZdLmmvPo0zVcyalCFg33Qr78Ce 7+qv5jdOm8W3e39u9yN+npR3ieHQ5ArlWGwW28pBIXwfilvFcESnC2eyMoS0 ii8UstncZ2XDjiaROihGjbMcyWVJLBP0N2ELC8vm229icHFPKKo+Y3zK3Jj6 q2lV3gFvZpk4BfSqKHwfFC4fLNDml3cVt2IGO7m+5sRzfoSNxglemGVV8dZT yRXqaKeJ5V1gkWIALX5bk8r5u+3x3qEbwvuN3kJ1DN9j5mLQdz60skXIeM9X PoPMnWYzdD4cjoGRMC3XRyI5+CNolyQhJK4A5mWdXGs7Ofs3HP+z9nz16fbf Scz41Muf67c8B7Q7z6L5RiPMAxZxbfU1OFbDtVDNSGtmnb4qQz/W1F1ElYsc 8rG9A6BF8x1fw2zhSnbddHHHJ115kl3rJNI1mzBL6HI2x9SglrugQzHzG7Ft RQ95IglF+DfwqylNb2gRugnWMnNteFWLj/+FsNlLyd3tfoTrTPWZV+vUcBnQ cHbre8HoTzy3ljGYxzT2Cep3MespaibRtZWwGy9vnPmkmXPgjy1fgte7Mxlk fhwZa/8V+9EQTZuPzwg4HBSA1J4XZqCotB1gExTO58hrYOoYM5RzcCcAHHIn QKpPD8eBzx12GHP0PAlfjXPI3C8J7JXlSNjt9vuSYVrKkjbwUs4R2quCwxLU mFJTZpCoaQjXuPqrgPmqhBhs7XH1lTsxmP889su24lOEZuzEyJE7ZJ3Gu23o Z9bDHvitrb2A0Um+NedwxKO/IGzrKZhn15FnRFHeAdh2zSZuXxscCXtpGorR kxqpRWx2zxPQsTk8/bgrxe+MaWj9UXw/be11pZih5VduxzPCqu03kiPFALPM 3VyOCV5kv9P3ovJk6rbkipI2du3n39AwLegO3UBzn0CYH3vMfzHUMeyM4Mu6 7Vwfiqr6BrRxBWhO0/suAxK5jm8fpoX7LszAz4bJStAanylcGCwiFbD9V2ja xk4ZosmNTsc+Xv51F4Xit9yduwJbqaJ0JYEfoT4xaw9YFDaBVuaId93cVb58 MxPLsL/UIlSz2URmft3FGL2tA7YI1UAONF7HOeWnxhb6XULrJFnQsLHz+XDW x6ooZQjcOD4DKXsvkfnu6i1kYxpaVcw/H/5QRQl7L0lk27HfLJCtp8Rw6EqF fDe08F+54MjaC0jX8aDpFtglV4jhCAoH+44HzPvdfFuTy63xMGwd5GMpKq8B fNTRpNZj2vw4RvznkfhoZ7A/fBO9AdzTEhrM70HiNBGj1jJcRY3PJvmSHod+ Ao3Yr2j8HVXeNXMx7Cr7K7HmHOzFZGXWHpytjmPEcXx2kIzWcG15juOYqUHk dz+S2OwRVmFa3DkhaboljgF1R9wc6R3A/RJIz5PWe1wsNlssB0XFZgllI8Qe TrOhxcJSPAfqIjabhOLkNYSvFsL3XlqsG67qv264eqcYuv4gI9V/bz+Kptcf IbETz4ualXP+zf/+WMuWJO08i2J1P0qrYjJTIl2WyXx5NV6PK1C88/bR/7vx N3kqZvY= "], {{0, 50.}, {50., 0}}, {0, 255}, ColorFunction -> GrayLevel], BoxForm`ImageTag[ "Byte", ColorSpace -> "Grayscale", Interleaving -> False], Selectable -> False], DefaultBaseStyle -> "ImageGraphics", ImageSizeRaw -> {50., 50.}, PlotRange -> {{0, 50.}, {0, 50.}}], True -> GraphicsBox[ TagBox[ RasterBox[CompressedData[" 1:eJzNWG1MU1cY7m1vS4GWttBLy0dLWyhl5aultrT0C2QzM5rMIWgyluDHkMwf YgBF9gc1cWpijDNuRNFsv2Rmuqmb/NjIYIFkG2qyAYnAljidODfdmItu+AHs Xi6n59x7D3LH9mPnRJLzvB/Pue95z3nfat3UWLVFKpFImpX0n6qNrRVNTRvb 1mrpRc225tcbttW/tnJbS31DfZN/k4wGS+b/MSb/jxFvt7QX95R86TytXyMh WEztye1w97v7c97SBAG2tEHIqRpXX/ksnPlnCVIiMTWXz0DMN5rZSGqX4l+u t+wp+wn1z05Lu7ZCiIYfOjoTnf+MQfd8aFLoiZmRR4FbeEl02tQsnkFpCT/E +1lsUtViOezHOJYzhZdSVqVt5vvLe0/ldpzk7mbZN2I5vEPAJnjPdlBpnQOJ 4s9Qb2V3SB0Dk9rM7b4xiJNJ4jigjSINiaAV3TO1FjEgSr+PWRjFcRR+AiyS X0RxqjrnCDtNO1Bcpga5HJp8tud4m/2Yd9g3WvixZxBmqpg96SqBfmDCeXrZ t6XjzjOaMEbvhfADYZ4UdYvhMLfhcsy8k6sl1+PvQ8EFMRymJnwm6ypRLcse nI7rc1kC1xshk+sVRmkcn8V2AGvfi1jKy24vxhBvs+71XI4+Zm9M6XhuR5J/ cZaE54CcqoH3IS49eaWlvai74AJkIHWOE9GnQg/FPQl5kMW6zz2QfSh1nTKr qBto2I8CKXxbbQeF0VYVB27i4828hanrhRYpq4E8dF+WOBcFe8xmZv5OcxhC 9xdiYKexjm9DSP0/AGl6A4NYdoN14SW+NqnjfkPkT++QZzD0G4pFH6u9fDvz LiD1XGHWxT1gnbKKr+s4AX35rxtqpfHsPrXl7n4o8Y4wlQsditTIIyBl1iVf gVXaZm7djLfBk3b1cWsdIcs5DFkMr3A5NKHg3RgH7dN5BsmUT9ETse6F34Cp pkTBedxNkKno2hCrxZG/GIyq4mTKA1hnPJdj+6wVMEiYlzg6PX8mT2UqFlMV cU/Q0cnuJ/8ciuYcAdGYv3H0SbPnIByuL4BVUoBFjBtQX74xeQrwZmmHZwQ4 5PrYmQ7hGSSS3HeADt0XCTicXWwdY4duOewEAIfCEMu/wYU44LmDCEOOyFTG VphDdL+EiZU0DkQ7NEks0FIWXgRWuuW4WOV/QDCNqSTJh6Lls7DGlY4DTFuO YyCTYPVVGFgseQX3Zct6Yy6mxyFSdget0zDa7n52P9wB31rvMERVLs9VxOPP DOYeAOu8d9Ezor/Qj0TwML+vpapBLOlvb0ElBGlujUzF7iCHQ+Xm7xS+M3RN /AjeTzLJth8yBH/hdzxSZfBXlMN+NHZfTvI5EvLQfic67eqzH8s+VHiRW/uF N9RYB2SBm8xaEwTr8EPhi5G6npsRwml/m29Dv4FfA6llNxs+3yhAMrcL9Y11 4L7jGYTZoC6JffmTuHQWy2wEmG+MvvRqXaW5zdSE2Hi9Izj/wbuGV6EWVWN7 U/8S0yc6TsXux1kgJbUw6nRXOf9m2g5Ae4I01Lp60cz3jphaSA3UMNSCHPDf gDmlrYAajk7cPlEWZsjUmjL9y1SNrhLcOCEDOn3X0HxPdOJ0ymet+4TnIxxU Dd46fQtXj/tmgekeEMNh24+zLTgvfOWoau8wIwv9HpgAetmHxHDo1wB92nbu /S67bW7j13gwSI0ila6+XcAmdR0qVRUZN7AzeQWKK9KAfuAW8wbwTws32O9h pjILojIVrKLRJyoXahH4EUjE/oqGv6OKulNWg6hyfyV6roJYqEscp2C2yilx HM73UW/+6+ZdckoTQn/3M9PcKlUa62DnNBerCXEMTHfEz5HII9gvxbCp4D0+ Zm4Vy0H3kjtx2Qh8LyShs1UunoPpIly9OD/OroytONx3La1+oar/rJHotB8N /4F6Kv1Onkz3hx+iWPRp/jm6Y/gX//sjU6U3eK4wvsIPcjvYzCRkph3sLy// DcvuuIyle//vxt/PCE6d "], {{0, 50.}, {50., 0}}, {0, 255}, ColorFunction -> GrayLevel], BoxForm`ImageTag[ "Byte", ColorSpace -> "Grayscale", Interleaving -> False], Selectable -> False], DefaultBaseStyle -> "ImageGraphics", ImageSizeRaw -> {50., 50.}, PlotRange -> {{0, 50.}, {0, 50.}}]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0], ImageSize -> {Automatic, 15}, ImageSizeAction -> "ResizeToFit"], MouseAppearanceTag["LinkHand"]], "\"Edit values\""}, "PrettyTooltipTemplate"]& )}], Cell["Documentation", "Section"], Cell["Usage", "Subsection"], Cell[ StyleData["UsageInputs", StyleDefinitions -> StyleData["Input"]], CellMargins -> {{66, 10}, {0, 8}}, StyleKeyMapping -> {"Tab" -> "UsageDescription"}, Evaluatable -> False, CellEventActions -> {"ReturnKeyDown" :> With[{RSNB`nb$ = Notebooks[ EvaluationCell[]]}, SelectionMove[ EvaluationCell[], After, Cell]; NotebookWrite[RSNB`nb$, Cell["", "UsageDescription"], All]; SelectionMove[RSNB`nb$, Before, CellContents]], {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]]}, ShowAutoStyles -> False, ShowCodeAssist -> False, CodeAssistOptions -> {"DynamicHighlighting" -> False}, LineSpacing -> {1, 3}, TabSpacings -> {2.5}, CounterIncrements -> "Text", FontFamily -> "Source Sans Pro", FontSize -> 15, FontWeight -> "Plain"], Cell[ StyleData["UsageDescription", StyleDefinitions -> StyleData["Text"]], CellMargins -> {{86, 10}, {7, 0}}, StyleKeyMapping -> {"Backspace" -> "UsageInputs"}, CellGroupingRules -> "OutputGrouping", CellEventActions -> {"ReturnKeyDown" :> With[{RSNB`nb$ = Notebooks[ EvaluationCell[]]}, SelectionMove[ EvaluationCell[], After, Cell]; NotebookWrite[RSNB`nb$, Cell[ BoxData[""], "UsageInputs", FontFamily -> "Source Sans Pro"], All]; SelectionMove[RSNB`nb$, Before, CellContents]], {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]]}, ShowAutoSpellCheck -> False], Cell["Details & Options", "Subsection"], Cell[ StyleData["Notes", StyleDefinitions -> StyleData["Item"]], CellDingbat -> StyleBox["\[FilledVerySmallSquare]", FontColor -> GrayLevel[0.6]], CellMargins -> {{66, 24}, {9, 7}}, ReturnCreatesNewCell -> False, StyleKeyMapping -> {}, DefaultNewCellStyle -> "Notes", ShowAutoSpellCheck -> False, GridBoxOptions -> {BaseStyle -> "TableNotes"}], Cell[ StyleData["TableNotes", StyleDefinitions -> StyleData["Notes"]], CellDingbat -> None, CellFrameColor -> RGBColor[0.749, 0.694, 0.553], StyleMenuListing -> None, ButtonBoxOptions -> {Appearance -> {Automatic, None}}, GridBoxOptions -> { FrameStyle -> GrayLevel[0.906], GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxDividers -> {"Columns" -> {{None}}, "Rows" -> {{True}}}, GridDefaultElement -> Cell["\[Placeholder]", "TableText"]}], Cell[ StyleData["TableText"], DefaultInlineFormatType -> "DefaultInputInlineFormatType", AutoQuoteCharacters -> {}, StyleMenuListing -> None], Cell["Examples", "Subsection"], Cell[ StyleData["ExampleDelimiter"], Selectable -> False, ShowCellBracket -> Automatic, CellMargins -> {{66, 14}, {5, 10}}, Evaluatable -> True, CellGroupingRules -> {"SectionGrouping", 58}, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False, CellLabelAutoDelete -> True, TabFilling -> "\[LongDash]\[NegativeThickSpace]", TabSpacings -> {100}, StyleMenuListing -> None, FontFamily -> "Verdana", FontWeight -> Bold, FontSlant -> "Plain", FontColor -> GrayLevel[0.906]], Cell[ StyleData["ExampleText", StyleDefinitions -> StyleData["Text"]]], Cell[ StyleData["PageBreak", StyleDefinitions -> StyleData["ExampleDelimiter"]], Selectable -> False, CellFrame -> {{0, 0}, {1, 0}}, CellMargins -> {{66, 14}, {15, -5}}, CellElementSpacings -> {"CellMinHeight" -> 1}, Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), CellFrameColor -> GrayLevel[ Rational[77, 85]]], Cell[ StyleData["Subsection"], Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False], Cell[ StyleData["Subsubsection"], Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False], Cell[ StyleData["ExampleImage"], PageWidth :> 650, CellMargins -> {{66, 66}, {16, 5}}, Evaluatable -> False, ShowCellLabel -> False, MenuSortingValue -> 10000, RasterBoxOptions -> {ImageEditMode -> False}], Cell["Links", "Section"], Cell[ StyleData["Link"], FontFamily -> "Source Sans Pro", FontColor -> Dynamic[ If[ CurrentValue["MouseOver"], RGBColor[0.855, 0.396, 0.145], RGBColor[0.02, 0.286, 0.651]]]], Cell[ StyleData["StringTypeLink", StyleDefinitions -> StyleData["Link"]], FontColor -> Dynamic[ If[ CurrentValue["MouseOver"], RGBColor[0.969, 0.467, 0.], GrayLevel[0.467]]]], Cell[ StyleData["CharactersRefLink"], ShowSpecialCharacters -> False], Cell["Annotation", "Section"], Cell[ StyleData["Excluded"], CellBracketOptions -> { "Color" -> RGBColor[0.9, 0.4, 0.4], "Thickness" -> 2}, GeneratedCellStyles -> { "Graphics" -> {"Graphics", "Excluded"}, "Message" -> {"Message", "MSG", "Excluded"}, "Output" -> {"Output", "Excluded"}, "Print" -> {"Print", "Excluded"}, "PrintTemporary" -> {"PrintTemporary", "Excluded"}}, CellFrameMargins -> 4, CellFrameLabels -> {{None, Cell[ BoxData[ TemplateBox[{ StyleBox[ "\"excluded\"", "ExcludedCellLabel", StripOnInput -> False], "\"Excluded cells will not appear anywhere in the published \ resource except for the definition notebook\""}, "PrettyTooltipTemplate"]], "ExcludedCellLabel"]}, {None, None}}, StyleMenuListing -> None, Background -> RGBColor[1, 0.95, 0.95]], Cell[ StyleData["ExcludedCellLabel", StyleDefinitions -> StyleData["Text"]], ShowStringCharacters -> False, FontFamily -> "Source Sans Pro", FontSize -> 9, FontWeight -> Plain, FontSlant -> Italic, FontColor -> RGBColor[0.9, 0.4, 0.4, 0.5], Background -> None], Cell[ StyleData["Comment", StyleDefinitions -> StyleData["Text"]], CellFrame -> {{3, 0}, {0, 0}}, CellMargins -> {{66, 0}, {1, 0}}, CellElementSpacings -> {"ClosedCellHeight" -> 0}, GeneratedCellStyles -> { "Graphics" -> {"Graphics", "Comment"}, "Message" -> {"Message", "MSG", "Comment"}, "Output" -> {"Output", "Comment"}, "Print" -> {"Print", "Comment"}, "PrintTemporary" -> {"PrintTemporary", "Comment"}}, CellFrameColor -> RGBColor[0.880722, 0.611041, 0.142051], CellFrameLabelMargins -> {{0, 10}, {0, 0}}, FontColor -> GrayLevel[0.25], Background -> RGBColor[0.982, 0.942, 0.871]], Cell[ StyleData["AuthorComment", StyleDefinitions -> StyleData["Comment"]], GeneratedCellStyles -> { "Graphics" -> {"Graphics", "AuthorComment"}, "Message" -> {"Message", "MSG", "AuthorComment"}, "Output" -> {"Output", "AuthorComment"}, "Print" -> {"Print", "AuthorComment"}, "PrintTemporary" -> {"PrintTemporary", "AuthorComment"}}, CellFrameColor -> RGBColor[0.368417, 0.506779, 0.709798], Background -> RGBColor[0.905, 0.926, 0.956]], Cell[ StyleData["ReviewerComment", StyleDefinitions -> StyleData["Comment"]], GeneratedCellStyles -> { "Graphics" -> {"Graphics", "ReviewerComment"}, "Message" -> {"Message", "MSG", "ReviewerComment"}, "Output" -> {"Output", "ReviewerComment"}, "Print" -> {"Print", "ReviewerComment"}, "PrintTemporary" -> {"PrintTemporary", "ReviewerComment"}}, CellFrameColor -> RGBColor[0.560181, 0.691569, 0.194885], Background -> RGBColor[0.934, 0.954, 0.879]], Cell[ StyleData["CommentLabel", StyleDefinitions -> StyleData["Text"]], ShowStringCharacters -> False, FontSlant -> "Italic", FontColor -> GrayLevel[0.5]], Cell["Special Input", "Section"], Cell[ StyleData["FormObjectCell"], CellMargins -> {{66, 66}, {16, 5}}], Cell[ StyleData["LocalFileInput", StyleDefinitions -> StyleData["Input"]], CellFrameLabels -> {{None, Cell[ BoxData[ ButtonBox[ "\"Choose\"", FrameMargins -> {{5, 5}, {0, 0}}, BaseStyle -> {"Panel", FontSize -> 12}, Evaluator -> Automatic, Method -> "Queued", ButtonFunction :> With[{RSNB`file = SystemDialogInput["FileOpen"], RSNB`cell = ParentCell[ EvaluationCell[]]}, If[ RSNB`file =!= $Canceled, SelectionMove[RSNB`cell, All, CellContents]; NotebookWrite[ Notebooks[RSNB`cell], RowBox[{"File", "[", ToBoxes[RSNB`file], "]"}]]]], Appearance :> FEPrivate`FrontEndResource[ "FEExpressions", "GrayButtonNinePatchAppearance"]]]]}, { None, None}}], Cell[ StyleData["LocalDirectoryInput", StyleDefinitions -> StyleData["Input"]], CellFrameLabels -> {{None, Cell[ BoxData[ ButtonBox[ "\"Choose\"", FrameMargins -> {{5, 5}, {0, 0}}, BaseStyle -> {"Panel", FontSize -> 12}, Evaluator -> Automatic, Method -> "Queued", ButtonFunction :> With[{RSNB`file = SystemDialogInput["Directory"], RSNB`cell = ParentCell[ EvaluationCell[]]}, If[ RSNB`file =!= $Canceled, SelectionMove[RSNB`cell, All, CellContents]; NotebookWrite[ Notebooks[RSNB`cell], RowBox[{"File", "[", ToBoxes[RSNB`file], "]"}]]]], Appearance :> FEPrivate`FrontEndResource[ "FEExpressions", "GrayButtonNinePatchAppearance"]]]]}, { None, None}}], Cell["Misc", "Section"], Cell[ StyleData["Item"], DefaultNewCellStyle -> "Item"], Cell[ StyleData["ButtonText"], FontFamily -> "Sans Serif", FontSize -> 11, FontWeight -> Bold, FontColor -> RGBColor[0.459, 0.459, 0.459]], Cell[ StyleData["InlineFormula"], HyphenationOptions -> {"HyphenationCharacter" -> "\[Continuation]"}, LanguageCategory -> "Formula", AutoSpacing -> True, ScriptLevel -> 1, SingleLetterItalics -> False, SpanMaxSize -> 1, StyleMenuListing -> None, FontFamily -> "Source Sans Pro", FontSize -> 1. Inherited, ButtonBoxOptions -> {Appearance -> {Automatic, None}}, FractionBoxOptions -> {BaseStyle -> {SpanMaxSize -> Automatic}}, GridBoxOptions -> { GridBoxItemSize -> { "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["DockedCell"], CellFrameColor -> GrayLevel[0.75], Background -> GrayLevel[0.9]]}, Visible -> False, FrontEndVersion -> "13.1 for Linux x86 (64-bit) (June 9, 2022)", StyleDefinitions -> "PrivateStylesheetFormatting.nb"] ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{ "Name"->{ Cell[629, 23, 96, 2, 70, "Title",ExpressionUUID->"d5440a73-8a1f-49ee-9080-7b58133265bd", CellTags->{"Name", "TemplateCell", "Title"}, CellID->352376887]}, "TemplateCell"->{ Cell[629, 23, 96, 2, 70, "Title",ExpressionUUID->"d5440a73-8a1f-49ee-9080-7b58133265bd", CellTags->{"Name", "TemplateCell", "Title"}, CellID->352376887], Cell[728, 27, 105, 2, 70, "Text",ExpressionUUID->"e5d415f7-7882-4a2b-a435-aac7bc15068a", CellTags->{"Description", "TemplateCell"}, CellID->101625758]}, "Title"->{ Cell[629, 23, 96, 2, 70, "Title",ExpressionUUID->"d5440a73-8a1f-49ee-9080-7b58133265bd", CellTags->{"Name", "TemplateCell", "Title"}, CellID->352376887]}, "Description"->{ Cell[728, 27, 105, 2, 70, "Text",ExpressionUUID->"e5d415f7-7882-4a2b-a435-aac7bc15068a", CellTags->{"Description", "TemplateCell"}, CellID->101625758]}, "Definition"->{ Cell[858, 33, 1206, 29, 70, "Section",ExpressionUUID->"14d88773-f308-4729-848d-3fccb63814e8", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326]}, "Function"->{ Cell[858, 33, 1206, 29, 70, "Section",ExpressionUUID->"14d88773-f308-4729-848d-3fccb63814e8", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326]}, "TemplateCellGroup"->{ Cell[858, 33, 1206, 29, 70, "Section",ExpressionUUID->"14d88773-f308-4729-848d-3fccb63814e8", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326], Cell[42019, 1009, 1980, 50, 70, "Subsection",ExpressionUUID->"f78604cc-389b-4600-9ab5-7bf1598628d5", CellTags->{"TemplateCellGroup", "Usage"}, CellID->542419310], Cell[44271, 1075, 1429, 32, 70, "Subsection",ExpressionUUID->"3cd56097-5222-4e0b-8799-30f413ff72f1", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236], Cell[58504, 1484, 7029, 152, 70, "Section",ExpressionUUID->"b4856b3c-f53b-4ec5-9f45-c1d965990766", CellTags->{"Examples", "TemplateCellGroup"}, CellID->530638011], Cell[3187460, 54435, 1026, 26, 70, "Subsection",ExpressionUUID->"43e1d7ab-1e4e-4d8b-b5ce-e4472222e04b", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256], Cell[3188575, 54469, 996, 26, 70, "Subsection",ExpressionUUID->"b35448f5-acc9-4ee2-ab06-c8570f111ce4", CellTags->{"Keywords", "TemplateCellGroup"}, CellID->696375425], Cell[3189654, 54503, 221, 6, 70, "Subsection",ExpressionUUID->"74914370-56dd-4c54-ae1f-0e77b57841ae", CellTags->{"Categories", "TemplateCellGroup"}, CellID->362094786], Cell[3198204, 54766, 980, 26, 70, "Subsection",ExpressionUUID->"54b205c5-f101-46d4-a828-a0e46e3e2e2d", CellTags->{"Related Symbols", "TemplateCellGroup"}, CellID->659846169], Cell[3199416, 54809, 1039, 26, 70, "Subsection",ExpressionUUID->"6ad4383f-7054-432c-a567-de5a8eaffc9c", CellTags->{"Related Resource Objects", "TemplateCellGroup"}, CellID->465534472], Cell[3200601, 54846, 1084, 26, 70, "Subsection",ExpressionUUID->"e9ef0640-0e64-4578-9a2e-711e0c4a6da3", CellTags->{"Source/Reference Citation", "TemplateCellGroup"}, CellID->515669552], Cell[3202241, 54887, 923, 26, 70, "Subsection",ExpressionUUID->"699ab93d-472c-4b84-8267-20e79cef0cdb", CellTags->{"Links", "TemplateCellGroup"}, CellID->571756773], Cell[3204299, 54945, 1874, 45, 70, "Subsection",ExpressionUUID->"7d05dd7c-e362-4aea-b61e-c917d7803f33", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448], Cell[3256954, 56115, 955, 25, 70, "Subsection",ExpressionUUID->"0432c11b-60b9-49d2-9903-9e0a990ce748", CellTags->{"Compatibility", "TemplateCellGroup"}, CellID->559974822], Cell[3257934, 56144, 1174, 31, 70, "Subsubsection",ExpressionUUID->"b3060876-f833-4b89-9a0c-af923258d771", CellTags->{"CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016], Cell[3259237, 56184, 1113, 29, 70, "Subsubsection",ExpressionUUID->"8787546c-7455-4439-a19c-ecb089f658b1", CellTags->{"CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406], Cell[3262488, 56282, 1280, 33, 70, "Subsubsection",ExpressionUUID->"8d2b9d05-a7f1-41e2-89c9-8dc961277261", CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156], Cell[3265957, 56385, 1913, 46, 70, "Subsubsection",ExpressionUUID->"d7819020-b445-4557-b2c9-a9484c8504f3", CellTags->{"CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563], Cell[3271896, 56555, 1071, 27, 70, "Subsubsection",ExpressionUUID->"5a36ecc2-1c0a-447d-a4ca-df8df420c4b1", CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371], Cell[3274249, 56627, 1155, 28, 70, "Section",ExpressionUUID->"ec4fc981-d6ea-4f92-a9ea-803333737611", CellTags->{"Author Notes", "TemplateCellGroup"}, CellID->681870591], Cell[3275900, 56673, 1033, 26, 70, "Section",ExpressionUUID->"ca43cd38-7e61-4b94-b443-a6819420fe5c", CellTags->{"Submission Notes", "TemplateCellGroup"}, CellID->916799765]}, "Documentation"->{ Cell[41799, 1000, 195, 5, 70, "Section",ExpressionUUID->"4c3d5ffc-fe37-40ed-a935-f2b879d10ef8", CellTags->{"Documentation", "TemplateSection"}, CellID->429741307]}, "TemplateSection"->{ Cell[41799, 1000, 195, 5, 70, "Section",ExpressionUUID->"4c3d5ffc-fe37-40ed-a935-f2b879d10ef8", CellTags->{"Documentation", "TemplateSection"}, CellID->429741307], Cell[3187186, 54426, 249, 5, 70, "Section",ExpressionUUID->"76af7c73-b7b4-457c-8ae2-da7b600ecd05", CellTags->{"Source & Additional Information", "TemplateSection"}, CellID->611501116]}, "Usage"->{ Cell[42019, 1009, 1980, 50, 70, "Subsection",ExpressionUUID->"f78604cc-389b-4600-9ab5-7bf1598628d5", CellTags->{"TemplateCellGroup", "Usage"}, CellID->542419310]}, "Details & Options"->{ Cell[44271, 1075, 1429, 32, 70, "Subsection",ExpressionUUID->"3cd56097-5222-4e0b-8799-30f413ff72f1", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236]}, "Notes"->{ Cell[44271, 1075, 1429, 32, 70, "Subsection",ExpressionUUID->"3cd56097-5222-4e0b-8799-30f413ff72f1", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236]}, "TabNext"->{ Cell[45703, 1109, 248, 7, 70, "Notes",ExpressionUUID->"7f98c5a7-0825-48c3-8f75-decbc5d6d167", CellTags->"TabNext", CellID->438301868], Cell[3201688, 54874, 516, 8, 70, "Text",ExpressionUUID->"41abcb1d-a056-4dee-b34b-586eccf40fb2", CellTags->{"DefaultContent", "TabNext"}, CellID->436399423], Cell[3276936, 56701, 515, 8, 70, "Text",ExpressionUUID->"0c73b7fb-a9b3-4cdf-877a-c009e28adf3b", CellTags->{"DefaultContent", "TabNext"}, CellID->604291542]}, "Examples"->{ Cell[58504, 1484, 7029, 152, 70, "Section",ExpressionUUID->"b4856b3c-f53b-4ec5-9f45-c1d965990766", CellTags->{"Examples", "TemplateCellGroup"}, CellID->530638011]}, "Source & Additional Information"->{ Cell[3187186, 54426, 249, 5, 70, "Section",ExpressionUUID->"76af7c73-b7b4-457c-8ae2-da7b600ecd05", CellTags->{"Source & Additional Information", "TemplateSection"}, CellID->611501116]}, "Contributed By"->{ Cell[3187460, 54435, 1026, 26, 70, "Subsection",ExpressionUUID->"43e1d7ab-1e4e-4d8b-b5ce-e4472222e04b", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256]}, "ContributorInformation"->{ Cell[3187460, 54435, 1026, 26, 70, "Subsection",ExpressionUUID->"43e1d7ab-1e4e-4d8b-b5ce-e4472222e04b", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256]}, "Keywords"->{ Cell[3188575, 54469, 996, 26, 70, "Subsection",ExpressionUUID->"b35448f5-acc9-4ee2-ab06-c8570f111ce4", CellTags->{"Keywords", "TemplateCellGroup"}, CellID->696375425]}, "Categories"->{ Cell[3189654, 54503, 221, 6, 70, "Subsection",ExpressionUUID->"74914370-56dd-4c54-ae1f-0e77b57841ae", CellTags->{"Categories", "TemplateCellGroup"}, CellID->362094786], Cell[3189878, 54511, 8289, 250, 70, "Output",ExpressionUUID->"528aa461-fc09-42bb-993b-b9c8620dcd74", CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->992570531]}, "Categories-Checkboxes"->{ Cell[3189878, 54511, 8289, 250, 70, "Output",ExpressionUUID->"528aa461-fc09-42bb-993b-b9c8620dcd74", CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->992570531]}, "CheckboxCell"->{ Cell[3189878, 54511, 8289, 250, 70, "Output",ExpressionUUID->"528aa461-fc09-42bb-993b-b9c8620dcd74", CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->992570531], Cell[3260353, 56215, 2098, 62, 70, "Output",ExpressionUUID->"36d05668-b008-421a-bd73-2bb33d9f91ef", CellTags->{"CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368], Cell[3263771, 56317, 2149, 63, 70, "Output",ExpressionUUID->"603cbc14-fec1-4288-9552-adb2f89bfe32", CellTags->{"CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753], Cell[3267873, 56433, 3986, 117, 70, "Output",ExpressionUUID->"9ed3c3d1-b79a-49bf-b561-a39901352555", CellTags->{"CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750], Cell[3272970, 56584, 1218, 36, 70, "Output",ExpressionUUID->"3a2d0047-df55-41db-aed7-e59c3458a238", CellTags->{"CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484]}, "Related Symbols"->{ Cell[3198204, 54766, 980, 26, 70, "Subsection",ExpressionUUID->"54b205c5-f101-46d4-a828-a0e46e3e2e2d", CellTags->{"Related Symbols", "TemplateCellGroup"}, CellID->659846169]}, "Related Resource Objects"->{ Cell[3199416, 54809, 1039, 26, 70, "Subsection",ExpressionUUID->"6ad4383f-7054-432c-a567-de5a8eaffc9c", CellTags->{"Related Resource Objects", "TemplateCellGroup"}, CellID->465534472]}, "Source/Reference Citation"->{ Cell[3200601, 54846, 1084, 26, 70, "Subsection",ExpressionUUID->"e9ef0640-0e64-4578-9a2e-711e0c4a6da3", CellTags->{"Source/Reference Citation", "TemplateCellGroup"}, CellID->515669552]}, "DefaultContent"->{ Cell[3201688, 54874, 516, 8, 70, "Text",ExpressionUUID->"41abcb1d-a056-4dee-b34b-586eccf40fb2", CellTags->{"DefaultContent", "TabNext"}, CellID->436399423], Cell[3259111, 56177, 89, 2, 70, "Text",ExpressionUUID->"ac0a6c34-1abd-47cc-96c4-7bbf5c103334", CellTags->{"DefaultContent", "ScrapeDefault"}, CellID->913148768], Cell[3276936, 56701, 515, 8, 70, "Text",ExpressionUUID->"0c73b7fb-a9b3-4cdf-877a-c009e28adf3b", CellTags->{"DefaultContent", "TabNext"}, CellID->604291542]}, "Links"->{ Cell[3202241, 54887, 923, 26, 70, "Subsection",ExpressionUUID->"699ab93d-472c-4b84-8267-20e79cef0cdb", CellTags->{"Links", "TemplateCellGroup"}, CellID->571756773]}, "Tests"->{ Cell[3204299, 54945, 1874, 45, 70, "Subsection",ExpressionUUID->"7d05dd7c-e362-4aea-b61e-c917d7803f33", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448]}, "VerificationTests"->{ Cell[3204299, 54945, 1874, 45, 70, "Subsection",ExpressionUUID->"7d05dd7c-e362-4aea-b61e-c917d7803f33", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448]}, "Compatibility"->{ Cell[3256954, 56115, 955, 25, 70, "Subsection",ExpressionUUID->"0432c11b-60b9-49d2-9903-9e0a990ce748", CellTags->{"Compatibility", "TemplateCellGroup"}, CellID->559974822]}, "CompatibilityWolframLanguageVersionRequired"->{ Cell[3257934, 56144, 1174, 31, 70, "Subsubsection",ExpressionUUID->"b3060876-f833-4b89-9a0c-af923258d771", CellTags->{"CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016]}, "Wolfram Language Version"->{ Cell[3257934, 56144, 1174, 31, 70, "Subsubsection",ExpressionUUID->"b3060876-f833-4b89-9a0c-af923258d771", CellTags->{"CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016]}, "ScrapeDefault"->{ Cell[3259111, 56177, 89, 2, 70, "Text",ExpressionUUID->"ac0a6c34-1abd-47cc-96c4-7bbf5c103334", CellTags->{"DefaultContent", "ScrapeDefault"}, CellID->913148768]}, "CompatibilityOperatingSystem"->{ Cell[3259237, 56184, 1113, 29, 70, "Subsubsection",ExpressionUUID->"8787546c-7455-4439-a19c-ecb089f658b1", CellTags->{"CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406], Cell[3260353, 56215, 2098, 62, 70, "Output",ExpressionUUID->"36d05668-b008-421a-bd73-2bb33d9f91ef", CellTags->{"CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368]}, "Operating System"->{ Cell[3259237, 56184, 1113, 29, 70, "Subsubsection",ExpressionUUID->"8787546c-7455-4439-a19c-ecb089f658b1", CellTags->{"CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406]}, "CompatibilityOperatingSystem-Checkboxes"->{ Cell[3260353, 56215, 2098, 62, 70, "Output",ExpressionUUID->"36d05668-b008-421a-bd73-2bb33d9f91ef", CellTags->{"CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368]}, "CompatibilityFeatures"->{ Cell[3262488, 56282, 1280, 33, 70, "Subsubsection",ExpressionUUID->"8d2b9d05-a7f1-41e2-89c9-8dc961277261", CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156], Cell[3263771, 56317, 2149, 63, 70, "Output",ExpressionUUID->"603cbc14-fec1-4288-9552-adb2f89bfe32", CellTags->{"CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753]}, "Required Features"->{ Cell[3262488, 56282, 1280, 33, 70, "Subsubsection",ExpressionUUID->"8d2b9d05-a7f1-41e2-89c9-8dc961277261", CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156]}, "CompatibilityFeatures-Checkboxes"->{ Cell[3263771, 56317, 2149, 63, 70, "Output",ExpressionUUID->"603cbc14-fec1-4288-9552-adb2f89bfe32", CellTags->{"CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753]}, "CompatibilityEvaluationEnvironment"->{ Cell[3265957, 56385, 1913, 46, 70, "Subsubsection",ExpressionUUID->"d7819020-b445-4557-b2c9-a9484c8504f3", CellTags->{"CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563], Cell[3267873, 56433, 3986, 117, 70, "Output",ExpressionUUID->"9ed3c3d1-b79a-49bf-b561-a39901352555", CellTags->{"CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750]}, "Environments"->{ Cell[3265957, 56385, 1913, 46, 70, "Subsubsection",ExpressionUUID->"d7819020-b445-4557-b2c9-a9484c8504f3", CellTags->{"CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563]}, "CompatibilityEvaluationEnvironment-Checkboxes"->{ Cell[3267873, 56433, 3986, 117, 70, "Output",ExpressionUUID->"9ed3c3d1-b79a-49bf-b561-a39901352555", CellTags->{"CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750]}, "Cloud Support"->{ Cell[3271896, 56555, 1071, 27, 70, "Subsubsection",ExpressionUUID->"5a36ecc2-1c0a-447d-a4ca-df8df420c4b1", CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371]}, "CompatibilityCloudSupport"->{ Cell[3271896, 56555, 1071, 27, 70, "Subsubsection",ExpressionUUID->"5a36ecc2-1c0a-447d-a4ca-df8df420c4b1", CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371], Cell[3272970, 56584, 1218, 36, 70, "Output",ExpressionUUID->"3a2d0047-df55-41db-aed7-e59c3458a238", CellTags->{"CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484]}, "CompatibilityCloudSupport-Checkboxes"->{ Cell[3272970, 56584, 1218, 36, 70, "Output",ExpressionUUID->"3a2d0047-df55-41db-aed7-e59c3458a238", CellTags->{"CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484]}, "Author Notes"->{ Cell[3274249, 56627, 1155, 28, 70, "Section",ExpressionUUID->"ec4fc981-d6ea-4f92-a9ea-803333737611", CellTags->{"Author Notes", "TemplateCellGroup"}, CellID->681870591]}, "Submission Notes"->{ Cell[3275900, 56673, 1033, 26, 70, "Section",ExpressionUUID->"ca43cd38-7e61-4b94-b443-a6819420fe5c", CellTags->{"Submission Notes", "TemplateCellGroup"}, CellID->916799765]} } *) (*CellTagsIndex CellTagsIndex->{ {"Name", 3400452, 59029}, {"TemplateCell", 3400634, 59033}, {"Title", 3400969, 59040}, {"Description", 3401150, 59044}, {"Definition", 3401328, 59048}, {"Function", 3401524, 59052}, {"TemplateCellGroup", 3401729, 59056}, {"Documentation", 3405618, 59117}, {"TemplateSection", 3405813, 59121}, {"Usage", 3406191, 59128}, {"Details & Options", 3406387, 59132}, {"Notes", 3406592, 59136}, {"TabNext", 3406799, 59140}, {"Examples", 3407288, 59150}, {"Source & Additional Information", 3407499, 59154}, {"Contributed By", 3407714, 59158}, {"ContributorInformation", 3407952, 59162}, {"Keywords", 3408176, 59166}, {"Categories", 3408370, 59170}, {"Categories-Checkboxes", 3408772, 59177}, {"CheckboxCell", 3408988, 59181}, {"Related Symbols", 3410123, 59197}, {"Related Resource Objects", 3410338, 59201}, {"Source/Reference Citation", 3410564, 59205}, {"DefaultContent", 3410780, 59209}, {"Links", 3411293, 59219}, {"Tests", 3411479, 59223}, {"VerificationTests", 3411699, 59227}, {"Compatibility", 3411915, 59231}, {"CompatibilityWolframLanguageVersionRequired", 3412147, 59235}, {"Wolfram Language Version", 3412422, 59239}, {"ScrapeDefault", 3412686, 59243}, {"CompatibilityOperatingSystem", 3412892, 59247}, {"Operating System", 3413367, 59254}, {"CompatibilityOperatingSystem-Checkboxes", 3413634, 59258}, {"CompatibilityFeatures", 3413894, 59262}, {"Required Features", 3414350, 59269}, {"CompatibilityFeatures-Checkboxes", 3414604, 59273}, {"CompatibilityEvaluationEnvironment", 3414863, 59277}, {"Environments", 3415348, 59284}, {"CompatibilityEvaluationEnvironment-Checkboxes", 3415623, 59288}, {"Cloud Support", 3415887, 59292}, {"CompatibilityCloudSupport", 3416134, 59296}, {"CompatibilityCloudSupport-Checkboxes", 3416617, 59303}, {"Author Notes", 3416862, 59307}, {"Submission Notes", 3417064, 59311} } *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[629, 23, 96, 2, 70, "Title",ExpressionUUID->"d5440a73-8a1f-49ee-9080-7b58133265bd", CellTags->{"Name", "TemplateCell", "Title"}, CellID->352376887], Cell[728, 27, 105, 2, 70, "Text",ExpressionUUID->"e5d415f7-7882-4a2b-a435-aac7bc15068a", CellTags->{"Description", "TemplateCell"}, CellID->101625758], Cell[CellGroupData[{ Cell[858, 33, 1206, 29, 70, "Section",ExpressionUUID->"14d88773-f308-4729-848d-3fccb63814e8", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326], Cell[2067, 64, 2660, 67, 70, "Input",ExpressionUUID->"36031992-a139-4a5b-bfb7-6fc041975e08", CellID->535019183], Cell[4730, 133, 857, 22, 70, "Input",ExpressionUUID->"6ce7747a-b925-464a-a5b3-f0e2b6959463", CellID->56672292], Cell[5590, 157, 3498, 81, 70, "Input",ExpressionUUID->"5da285eb-0608-4d94-a0da-d0dbed9ec872", CellID->120434419], Cell[9091, 240, 3906, 99, 70, "Input",ExpressionUUID->"242f7077-cb42-417e-afa3-b44526f32468", CellID->595482800], Cell[13000, 341, 1567, 42, 70, "Input",ExpressionUUID->"d62af8ef-1dca-4b65-94f0-704238f26b93", CellID->452877568], Cell[14570, 385, 1527, 24, 70, "Input",ExpressionUUID->"9670fc0d-bae4-4716-b47c-47ed11c6d863", CellID->692813020], Cell[16100, 411, 371, 10, 70, "Input",ExpressionUUID->"44f9db9f-e21c-436f-afec-f6826800d62d", CellID->431704508], Cell[16474, 423, 460, 11, 70, "Input",ExpressionUUID->"0e7928c1-8525-4abc-8d91-ad3f43ec549b", CellID->105854917], Cell[16937, 436, 379, 10, 70, "Input",ExpressionUUID->"68b14539-401c-40db-9532-a0841f65f86f", CellID->702111951], Cell[17319, 448, 1704, 30, 70, "Input",ExpressionUUID->"4bac610c-bee8-43ee-8bee-b309393c6d73", CellID->609805894], Cell[19026, 480, 1252, 28, 70, "Input",ExpressionUUID->"0a804e8f-6c63-4052-968b-ee59973dddff", CellID->55290228], Cell[20281, 510, 9969, 231, 70, "Input",ExpressionUUID->"ca9aac9b-029e-4122-9b9c-68817479b978", CellID->302007235], Cell[30253, 743, 907, 16, 70, "Input",ExpressionUUID->"d666d769-cc5a-42d8-a837-518a9739e7f1", CellID->198344531], Cell[31163, 761, 980, 18, 70, "Input",ExpressionUUID->"211f2dec-f971-48c5-8481-d28899895883", CellID->163513514], Cell[32146, 781, 9616, 214, 70, "Input",ExpressionUUID->"7b6ebe7e-a659-4821-8a9e-2be7fc7dec47", CellID->964314230] }, Open ]], Cell[CellGroupData[{ Cell[41799, 1000, 195, 5, 70, "Section",ExpressionUUID->"4c3d5ffc-fe37-40ed-a935-f2b879d10ef8", CellTags->{"Documentation", "TemplateSection"}, CellID->429741307], Cell[CellGroupData[{ Cell[42019, 1009, 1980, 50, 70, "Subsection",ExpressionUUID->"f78604cc-389b-4600-9ab5-7bf1598628d5", CellTags->{"TemplateCellGroup", "Usage"}, CellID->542419310], Cell[CellGroupData[{ Cell[44024, 1063, 119, 3, 70, "UsageInputs",ExpressionUUID->"4929f65e-cad3-4743-970b-9effdd6bc6ee", CellID->641574175], Cell[44146, 1068, 76, 1, 70, "UsageDescription",ExpressionUUID->"320fc250-4b82-4638-8384-1d96c2f1e936", CellID->149097937] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[44271, 1075, 1429, 32, 70, "Subsection",ExpressionUUID->"3cd56097-5222-4e0b-8799-30f413ff72f1", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236], Cell[45703, 1109, 248, 7, 70, "Notes",ExpressionUUID->"7f98c5a7-0825-48c3-8f75-decbc5d6d167", CellTags->"TabNext", CellID->438301868], Cell[45954, 1118, 771, 22, 70, "Notes",ExpressionUUID->"b2c3d79d-4bea-44f1-aa85-b8576c8853d0", CellID->13933518], Cell[46728, 1142, 6163, 160, 70, "TableNotes",ExpressionUUID->"42a4c500-8969-4de7-8cde-f5c59c91cfd5", CellID->677749932], Cell[52894, 1304, 4761, 151, 70, "Notes",ExpressionUUID->"4be5b3e3-a5ce-449f-846a-37bf4201e6c4", CellID->258427964], Cell[57658, 1457, 797, 21, 70, "Notes",ExpressionUUID->"45fc23ba-d373-4781-ae5a-82897dfd8644", CellID->751635106] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[58504, 1484, 7029, 152, 70, "Section",ExpressionUUID->"b4856b3c-f53b-4ec5-9f45-c1d965990766", CellTags->{"Examples", "TemplateCellGroup"}, CellID->530638011], Cell[CellGroupData[{ Cell[65558, 1640, 75, 2, 70, "Subsection",ExpressionUUID->"ef16fbb4-bc3b-4faf-bdb7-34398a746d3f", CellID->904125756], Cell[65636, 1644, 157, 3, 70, "Text",ExpressionUUID->"0361c18c-7a2f-4c9f-8f79-afd8d1efda1f", CellID->775661518], Cell[CellGroupData[{ Cell[65818, 1651, 576, 11, 70, "Input",ExpressionUUID->"6709753b-8ed6-4185-85b1-94fec628f431", CellID->555672362], Cell[66397, 1664, 3700, 63, 70, "Output",ExpressionUUID->"e1115c6b-5c3c-409a-a39f-e3b9d4f0432c", CellID->289777873] }, Open ]], Cell[70112, 1730, 179, 3, 70, "Text",ExpressionUUID->"18f42f41-ae05-450b-9945-3a1a40efc27f", CellID->581220905], Cell[CellGroupData[{ Cell[70316, 1737, 627, 14, 70, "Input",ExpressionUUID->"930c6619-3f54-4dd1-8c3b-77f19b254461", CellID->926397222], Cell[70946, 1753, 2979, 51, 70, "Output",ExpressionUUID->"7438f9e1-ee8f-4f47-81e2-c1cbe9c5025c", CellID->356632074] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[73974, 1810, 132, 3, 70, "Subsection",ExpressionUUID->"6767c38e-74f9-4615-b7a7-a158d1849327", CellID->204653245], Cell[74109, 1815, 469, 9, 70, "Text",ExpressionUUID->"2003e06c-8769-40b7-8f30-bdc10bb9bea5", CellID->150561476], Cell[74581, 1826, 538, 10, 70, "Text",ExpressionUUID->"eadfea1b-d5b5-47a0-b625-22a68c94c3b8", CellID->840811679], Cell[CellGroupData[{ Cell[75144, 1840, 854, 18, 70, "Input",ExpressionUUID->"6383b912-ec05-407b-a1cb-35328870887a", CellID->11658044], Cell[76001, 1860, 12310, 208, 70, "Output",ExpressionUUID->"3abc172e-f75a-434b-afb5-98f0419f23ba", CellID->571106735] }, Open ]], Cell[88326, 2071, 541, 10, 70, "Text",ExpressionUUID->"e6fafcd2-f9d4-4532-bf63-87f1bff39b9b", CellID->309275443], Cell[CellGroupData[{ Cell[88892, 2085, 1006, 21, 70, "Input",ExpressionUUID->"b411681d-6237-49fe-be2a-d11469d099c2", CellID->347978080], Cell[89901, 2108, 12992, 219, 70, "Output",ExpressionUUID->"f61336c4-ff49-469b-97ac-2bbe5d438171", CellID->267992156] }, Open ]], Cell[CellGroupData[{ Cell[102930, 2332, 143, 4, 70, "ExampleDelimiter",ExpressionUUID->"cd3e2506-b8b3-4fc9-98c4-5703950fb16d", CellID->14107562], Cell[103076, 2338, 282, 5, 70, "Text",ExpressionUUID->"f2ad8cab-4508-4b67-838a-d9ff5f8a353f", CellID->713300191], Cell[CellGroupData[{ Cell[103383, 2347, 947, 20, 70, "Input",ExpressionUUID->"9fc51a83-1a78-463f-bad6-3b4cf5fda2b4", CellID->525095658], Cell[104333, 2369, 25846, 430, 70, "Output",ExpressionUUID->"2423e97f-707c-4d72-926d-2d270dce39a9", CellID->141452096] }, Open ]], Cell[130194, 2802, 295, 7, 70, "Text",ExpressionUUID->"850732b8-c45b-4e80-b106-756a4e88c96f", CellID->935829797], Cell[CellGroupData[{ Cell[130514, 2813, 1058, 22, 70, "Input",ExpressionUUID->"374b3546-d4ff-416f-a482-0ce45ca26794", CellID->748448836], Cell[131575, 2837, 29223, 480, 70, "Output",ExpressionUUID->"da3095f0-dd26-424d-981e-1bbbfd941435", CellID->902534495] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[160859, 3324, 68, 2, 70, "Subsection",ExpressionUUID->"92fe338f-0a77-48f7-b4c2-ea5a84e84a35", CellID->890561554], Cell[CellGroupData[{ Cell[160952, 3330, 77, 2, 70, "Subsubsection",ExpressionUUID->"97f6c82f-af3d-4fe3-97ca-7dae76d0837e", CellID->198635026], Cell[161032, 3334, 2396, 69, 70, "Text",ExpressionUUID->"6fbab2cd-129c-473e-ba80-bd42ffbcc28f", CellID->336355368], Cell[163431, 3405, 1239, 36, 70, "Text",ExpressionUUID->"17fe9707-3c2a-4b9d-98d2-947250301142", CellID->275444497], Cell[164673, 3443, 192, 5, 70, "Text",ExpressionUUID->"30f1c1f3-ab65-4600-a6fe-6a62de3316ab", CellID->901857704], Cell[CellGroupData[{ Cell[164890, 3452, 884, 23, 70, "Input",ExpressionUUID->"b5986ff3-4f9a-4348-8d6a-1cb0276120d5", CellID->470612309], Cell[165777, 3477, 13543, 219, 70, "Output",ExpressionUUID->"e51c8812-7094-457b-9eb3-94f6d0fb4d43", CellID->893648241] }, Open ]], Cell[179335, 3699, 276, 5, 70, "Text",ExpressionUUID->"b7323c1d-d377-4f0e-a822-ee4ccf9cc463", CellID->695037141], Cell[CellGroupData[{ Cell[179636, 3708, 1410, 31, 70, "Input",ExpressionUUID->"d120c701-5332-434b-8bb2-ba91362593e4", CellID->628358562], Cell[181049, 3741, 29585, 484, 70, "Output",ExpressionUUID->"34207a71-0bbb-4b36-bcc8-acacfdcd2154", CellID->831643086] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[210683, 4231, 250, 5, 70, "Subsubsection",ExpressionUUID->"f4372d0c-aebd-430c-b561-1202dfee582d", CellID->370897973], Cell[210936, 4238, 443, 10, 70, "Text",ExpressionUUID->"bdd2499f-ea21-4644-ade4-50600917478f", CellID->357780959], Cell[CellGroupData[{ Cell[211404, 4252, 1316, 28, 70, "Input",ExpressionUUID->"ce4ab9c8-29e5-4894-b862-ac30d276cc34", CellID->94788873], Cell[212723, 4282, 15465, 260, 70, "Output",ExpressionUUID->"d9db9309-1342-4910-8d7c-b935b93e9d0a", CellID->348736968] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[228237, 4548, 139, 3, 70, "Subsubsection",ExpressionUUID->"3d06343b-bc09-445a-b222-42def83a0ab0", CellID->504700221], Cell[228379, 4553, 820, 23, 70, "Text",ExpressionUUID->"c6d04294-a550-414b-8444-79e2f74034d5", CellID->38453676], Cell[CellGroupData[{ Cell[229224, 4580, 932, 20, 70, "Input",ExpressionUUID->"a6020c7f-9921-4b1f-8b57-7f6ef08d552e", CellID->203507191], Cell[230159, 4602, 5215, 102, 70, "Output",ExpressionUUID->"302e8d0b-38e0-44dd-9008-a9f79da9a227", CellID->967572671] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[235423, 4710, 187, 4, 70, "Subsubsection",ExpressionUUID->"fff18721-7362-43f3-97f3-c5497fcd450a", CellID->794214821], Cell[235613, 4716, 758, 23, 70, "Text",ExpressionUUID->"9e84f1df-633a-46aa-984d-0a7667c7caf0", CellID->41078177], Cell[CellGroupData[{ Cell[236396, 4743, 1243, 34, 70, "Input",ExpressionUUID->"98789531-d9ff-4f9c-85ff-652eab968373", CellID->723041635], Cell[237642, 4779, 21807, 350, 70, "Output",ExpressionUUID->"0a2ef93d-2b4e-4276-a064-40d028576965", CellID->379858735] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[259498, 5135, 290, 5, 70, "Subsubsection",ExpressionUUID->"34f46306-4c15-4f55-a0ac-cfd9ac86dae3", CellID->410024071], Cell[259791, 5142, 427, 11, 70, "Text",ExpressionUUID->"d4019ce3-6edb-41f6-b185-a885afa2688f", CellID->263691631], Cell[CellGroupData[{ Cell[260243, 5157, 1355, 28, 70, "Input",ExpressionUUID->"441047a0-73f7-432b-986b-3f4d69564354", CellID->701932547], Cell[261601, 5187, 5703, 104, 70, "Output",ExpressionUUID->"ed3d54ac-6214-4d55-9943-66407fc8dca6", CellID->257166965] }, Open ]], Cell[CellGroupData[{ Cell[267341, 5296, 1379, 28, 70, "Input",ExpressionUUID->"9f11bd30-2e44-44c3-a30f-55d906df90d7", CellID->416392047], Cell[268723, 5326, 5835, 108, 70, "Output",ExpressionUUID->"edd12efb-932d-41dd-a70b-aeec784041dc", CellID->91123044] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[274607, 5440, 197, 4, 70, "Subsubsection",ExpressionUUID->"2c1f1a29-5c6a-4c36-a4ea-0d063eef382c", CellID->515635505], Cell[274807, 5446, 495, 12, 70, "Text",ExpressionUUID->"6d6e82ac-81a9-41d9-9230-0915b93236bc", CellID->666086599], Cell[CellGroupData[{ Cell[275327, 5462, 1133, 26, 70, "Input",ExpressionUUID->"d3025163-a3f6-4575-b2e6-0ef68a991296", CellID->402538947], Cell[276463, 5490, 10717, 198, 70, "Output",ExpressionUUID->"c620c094-8b63-45c5-b54e-430a6051b17d", CellID->330787065] }, Open ]], Cell[CellGroupData[{ Cell[287217, 5693, 1155, 26, 70, "Input",ExpressionUUID->"b9408866-4982-4f25-a5d2-ce126b69680b", CellID->356033569], Cell[288375, 5721, 15336, 253, 70, "Output",ExpressionUUID->"541cca96-d996-444c-bd19-672add6b9bc2", CellID->930614461] }, Open ]], Cell[303726, 5977, 857, 23, 70, "Text",ExpressionUUID->"24c268dd-9f1b-40de-9cfb-9c94d9e18c67", CellID->810805325] }, Closed]], Cell[CellGroupData[{ Cell[304620, 6005, 187, 4, 70, "Subsubsection",ExpressionUUID->"57dae2e6-5306-4f00-b351-2f71a8bd1000", CellID->122655909], Cell[304810, 6011, 393, 9, 70, "Text",ExpressionUUID->"47d527f0-a579-44d3-a7f0-07018d58a6a8", CellID->493237360], Cell[CellGroupData[{ Cell[305228, 6024, 1201, 27, 70, "Input",ExpressionUUID->"ada0fcef-2d9c-4a42-8d44-7049cc7c2da5", CellID->950730802], Cell[306432, 6053, 12499, 216, 70, "Output",ExpressionUUID->"a78fa452-762d-435d-93f4-2e957e1b849a", CellID->562381933] }, Open ]], Cell[CellGroupData[{ Cell[318968, 6274, 143, 4, 70, "ExampleDelimiter",ExpressionUUID->"a54585f6-3189-4cbb-b498-745f6587be83", CellID->14107563], Cell[319114, 6280, 354, 8, 70, "Text",ExpressionUUID->"738d6b03-28d6-478d-8021-197bd5fff9e5", CellID->408007851], Cell[319471, 6290, 1023, 33, 70, "Text",ExpressionUUID->"512f2b06-23ff-4713-a9aa-a732f1d18f22", CellID->172394290], Cell[CellGroupData[{ Cell[320519, 6327, 830, 17, 70, "Input",ExpressionUUID->"2d5cbd32-d54d-404c-943e-3c310cd843ee", CellID->547343218], Cell[321352, 6346, 8971, 155, 70, "Output",ExpressionUUID->"c647e4c2-ac04-46e3-af72-2667a35dbaa3", CellID->691834727] }, Open ]], Cell[330338, 6504, 765, 22, 70, "Text",ExpressionUUID->"78283b92-5952-4be4-b735-c99aef2b8942", CellID->393645347], Cell[CellGroupData[{ Cell[331128, 6530, 934, 20, 70, "Input",ExpressionUUID->"5b16dbb0-913c-4585-87d2-125331f30fb8", CellID->343393641], Cell[332065, 6552, 9644, 161, 70, "Output",ExpressionUUID->"83dbb46f-9b9c-4942-a3fb-f11e5e955a2a", CellID->288911348] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[341770, 6720, 299, 5, 70, "Subsubsection",ExpressionUUID->"a1f1e3ec-1043-42ce-9576-c8a29bb0f31a", CellID->240615858], Cell[342072, 6727, 395, 10, 70, "Text",ExpressionUUID->"75f3c047-6be1-441e-ae11-5499bd494f81", CellID->828138802], Cell[CellGroupData[{ Cell[342492, 6741, 1326, 31, 70, "Input",ExpressionUUID->"54f0aeb0-d1b5-4a4b-b0d1-13e1798db39e", CellID->130018053], Cell[343821, 6774, 10803, 192, 70, "Output",ExpressionUUID->"2465079c-b662-4545-bee1-a1e27202ed36", CellID->310557906] }, Open ]], Cell[CellGroupData[{ Cell[354661, 6971, 1541, 34, 70, "Input",ExpressionUUID->"a9017144-db6e-40f3-a3fe-9d7d768f5783", CellID->491478273], Cell[356205, 7007, 6050, 111, 70, "Output",ExpressionUUID->"2d481d01-d726-4c5a-ac1e-c6687ae5b599", CellID->6534106] }, Open ]], Cell[362270, 7121, 366, 8, 70, "Text",ExpressionUUID->"0a65ebe3-5436-45da-86ec-432f87c9cefe", CellID->723691717], Cell[CellGroupData[{ Cell[362661, 7133, 1994, 47, 70, "Input",ExpressionUUID->"7a46ad37-cc8a-48e7-8c5f-b8e15ba2c5bd", CellID->725120312], Cell[364658, 7182, 18628, 332, 70, "Output",ExpressionUUID->"9144432f-a08b-4aa3-9a39-b7f3f9ad8e20", CellID->666688301] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[383335, 7520, 142, 3, 70, "Subsubsection",ExpressionUUID->"cd9777a4-9916-46dc-baa7-2e64c52ac35f", CellID->742577599], Cell[383480, 7525, 1179, 27, 70, "Text",ExpressionUUID->"4cc9761a-6311-40e7-b3d3-4d1122a67a92", CellID->444711388], Cell[384662, 7554, 710, 18, 70, "Text",ExpressionUUID->"89abe119-16b8-4805-b5af-f51d1e54d805", CellID->469567817], Cell[385375, 7574, 2268, 57, 70, "Input",ExpressionUUID->"c768789e-4929-49db-94c8-cf4cde4231d9", CellID->680009395], Cell[387646, 7633, 277, 7, 70, "Text",ExpressionUUID->"a1208a00-922c-4d24-8105-a4434c36af24", CellID->337292337], Cell[CellGroupData[{ Cell[387948, 7644, 786, 18, 70, "Input",ExpressionUUID->"66feaf8e-312a-4818-8991-24cfd08852d7", CellID->104398128], Cell[388737, 7664, 13372, 259, 70, "Output",ExpressionUUID->"e9a53998-bfb4-4eaa-8e64-e53c84e0d2cb", CellID->152155460] }, Open ]], Cell[402124, 7926, 443, 9, 70, "Text",ExpressionUUID->"8fea5268-8447-453f-afcf-b3e83c1b4f0d", CellID->535236867], Cell[CellGroupData[{ Cell[402592, 7939, 1669, 34, 70, "Input",ExpressionUUID->"382eedfc-3035-446c-97e7-3645e40b4500", CellID->302827720], Cell[404264, 7975, 26937, 468, 70, "Output",ExpressionUUID->"39e4058f-ff66-484a-a0d8-f116578f1c09", CellID->910706095] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[431250, 8449, 219, 4, 70, "Subsubsection",ExpressionUUID->"632bcdf7-3cc1-4833-89a4-46554ac2109e", CellID->369743753], Cell[431472, 8455, 351, 9, 70, "Text",ExpressionUUID->"117483c5-2911-467d-9da1-335f05665a05", CellID->435015717], Cell[CellGroupData[{ Cell[431848, 8468, 873, 21, 70, "Input",ExpressionUUID->"23a8c6ac-7d59-4d80-b17a-8126084ca939", CellID->972028482], Cell[432724, 8491, 5535, 95, 70, "Output",ExpressionUUID->"fc35fcea-5ac3-4dc6-8943-79822017b8fd", CellID->962058668] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[438320, 8593, 150, 3, 70, "Subsection",ExpressionUUID->"a9fbb706-fb55-4459-a20a-21a6d344ee1a", CellID->232113220], Cell[438473, 8598, 2394, 72, 70, "Text",ExpressionUUID->"d6fe7e20-4b1c-4781-aded-c8b14d66495e", CellID->306893273], Cell[CellGroupData[{ Cell[440892, 8674, 1951, 43, 70, "Input",ExpressionUUID->"e992b530-0fad-4ff7-b69f-0568ac2794a7", CellID->83925213], Cell[442846, 8719, 17044, 285, 70, "Output",ExpressionUUID->"13061d79-264f-4ff8-9e57-9c3ed05cc491", CellID->955522231] }, Open ]], Cell[CellGroupData[{ Cell[459927, 9009, 143, 4, 70, "ExampleDelimiter",ExpressionUUID->"fb2ab221-ceba-43d3-90fc-6a56c49cd2c0", CellID->14107564], Cell[460073, 9015, 1283, 34, 70, "Text",ExpressionUUID->"4b9307e5-63b1-42bd-a53d-9443ce38f7d2", CellID->910336827], Cell[CellGroupData[{ Cell[461381, 9053, 748, 20, 70, "Input",ExpressionUUID->"b29263ce-7663-49b1-b4ab-5fe958883cc4", CellID->82979150], Cell[462132, 9075, 62422, 1221, 70, "Output",ExpressionUUID->"24216265-ca85-4847-8ff6-47e1c8afdd88", CellID->187899065] }, Open ]], Cell[524569, 10299, 1016, 29, 70, "Text",ExpressionUUID->"637f46ec-8870-4ee5-8369-f399d1f1eaa6", CellID->616913766], Cell[CellGroupData[{ Cell[525610, 10332, 969, 26, 70, "Input",ExpressionUUID->"e885a8e9-cc05-421e-a10f-cb1d4a3d49e7", CellID->73391449], Cell[526582, 10360, 354130, 5931, 70, "Output",ExpressionUUID->"436d09a6-1e63-49d6-b1db-3feedc137801", CellID->653311248] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[880773, 16298, 76, 2, 70, "Subsection",ExpressionUUID->"2a9ed9dd-3fa6-4b77-9822-bdf7188667dc", CellID->158766396], Cell[880852, 16302, 416, 9, 70, "Text",ExpressionUUID->"5c428eb9-b744-474d-8825-d82dc74eb120", CellID->272727509], Cell[CellGroupData[{ Cell[881293, 16315, 383, 11, 70, "Input",ExpressionUUID->"417b2cb5-75e5-46bc-9f08-3d4ef90b96e0", CellID->958306250], Cell[881679, 16328, 726, 15, 70, "Output",ExpressionUUID->"36717432-b7a5-47cc-99b5-e96c893d1877", CellID->667916875] }, Open ]], Cell[CellGroupData[{ Cell[882442, 16348, 793, 19, 70, "Input",ExpressionUUID->"14fc806e-d922-4381-bb1e-a2c0b3104135", CellID->467130647], Cell[883238, 16369, 12641, 202, 70, "Output",ExpressionUUID->"706a530a-a997-479f-8b68-cd6961411dc0", CellID->543545471] }, Open ]], Cell[CellGroupData[{ Cell[895916, 16576, 812, 19, 70, "Input",ExpressionUUID->"bf20a44e-b09f-40b7-a532-e1dd0c21c68f", CellID->657535536], Cell[896731, 16597, 13191, 218, 70, "Output",ExpressionUUID->"0b946a07-e455-473a-b433-cf76b9047a4b", CellID->946011908] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[909971, 16821, 74, 2, 70, "Subsection",ExpressionUUID->"2baf74a0-a676-439e-85bf-751a2f16ba58", CellID->461278909], Cell[CellGroupData[{ Cell[910070, 16827, 145, 3, 70, "Subsubsection",ExpressionUUID->"874d0245-ef1c-49ca-a4d4-50e97370f9e3", CellID->570659224], Cell[910218, 16832, 147, 3, 70, "Text",ExpressionUUID->"a664095a-184c-4868-81aa-849cc54b9192", CellID->623947221], Cell[CellGroupData[{ Cell[910390, 16839, 930, 24, 70, "Input",ExpressionUUID->"3a28a49a-cc4f-4bb7-b931-22ff3a258a60", CellID->197854672], Cell[911323, 16865, 102617, 1697, 70, "Output",ExpressionUUID->"682e9495-506b-48db-a4eb-bb065cc06904", CellID->789948784] }, Open ]], Cell[CellGroupData[{ Cell[1013977, 18567, 143, 4, 70, "ExampleDelimiter",ExpressionUUID->"d442afd2-da78-4a96-8995-c6b31a0f754f", CellID->14107565], Cell[1014123, 18573, 160, 3, 70, "Text",ExpressionUUID->"27557735-4c64-4cda-924f-399ddc64d808", CellID->774786793], Cell[CellGroupData[{ Cell[1014308, 18580, 2043, 46, 70, "Input",ExpressionUUID->"9f932834-ad41-4a16-a872-d9d78b9cf686", CellID->589926506], Cell[1016354, 18628, 308328, 5121, 70, "Output",ExpressionUUID->"2c7d481b-3609-4c92-97d9-d89fd162e1ad", CellID->991197872] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[1324731, 23755, 143, 4, 70, "ExampleDelimiter",ExpressionUUID->"96c48a53-1acf-425a-a6b6-1c9c0e415c6c", CellID->14107566], Cell[1324877, 23761, 162, 3, 70, "Text",ExpressionUUID->"e0477be0-c0f2-4c94-8d21-0aee6c462fa7", CellID->443887021], Cell[CellGroupData[{ Cell[1325064, 23768, 1127, 30, 70, "Input",ExpressionUUID->"1547cf99-eea8-49f8-af13-2fdca6bf816b", CellID->833715097], Cell[1326194, 23800, 97814, 1578, 70, "Output",ExpressionUUID->"af29b055-947d-404c-959d-0c9fe0df989d", CellID->573544055] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[1424069, 25385, 166, 3, 70, "Subsubsection",ExpressionUUID->"9808cfe9-4106-4b9e-b0b9-262f92db229e", CellID->305235573], Cell[1424238, 25390, 154, 3, 70, "Text",ExpressionUUID->"6d017838-e018-4a23-9400-31e3dff16063", CellID->390887847], Cell[CellGroupData[{ Cell[1424417, 25397, 704, 17, 70, "Input",ExpressionUUID->"d601625e-7aba-4bad-a11a-fc0efc6fb5f3", CellID->358709196], Cell[1425124, 25416, 107212, 1761, 70, "Output",ExpressionUUID->"605408d4-f8e8-415c-8171-d829ea8cc07d", CellID->228788993] }, Open ]], Cell[1532351, 27180, 167, 3, 70, "Text",ExpressionUUID->"73c0289b-0602-480a-9689-d4217abf01b7", CellID->460152211], Cell[CellGroupData[{ Cell[1532543, 27187, 1174, 26, 70, "Input",ExpressionUUID->"01011c75-9869-4e84-94a2-a346eb261edf", CellID->752329128], Cell[1533720, 27215, 661, 13, 70, "Output",ExpressionUUID->"3b00ecd8-a054-4290-a196-d5bb45c75619", CellID->159205277] }, Open ]], Cell[1534396, 27231, 310, 8, 70, "Text",ExpressionUUID->"134296e4-685f-4da5-86b6-a113639c639b", CellID->247776931], Cell[CellGroupData[{ Cell[1534731, 27243, 2178, 44, 70, "Input",ExpressionUUID->"fc1b0b64-475f-4533-85f8-e0699a7235c5", CellID->17336660], Cell[1536912, 27289, 210, 6, 70, "Output",ExpressionUUID->"125a0549-c686-4a9a-b168-1c8636220ba6", CellID->242285337] }, Open ]], Cell[1537137, 27298, 136, 3, 70, "Text",ExpressionUUID->"d753e0ad-f3a8-4771-b05b-6c1c0f9628f1", CellID->787187997], Cell[CellGroupData[{ Cell[1537298, 27305, 791, 15, 70, "Input",ExpressionUUID->"9897935b-d6bc-4a13-b08e-7bbbf5832fe9", CellID->713899104], Cell[1538092, 27322, 818795, 13429, 70, "Output",ExpressionUUID->"613769d1-4283-4249-af5d-2a92d5fb77f6", CellID->49714925] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[2356936, 40757, 167, 3, 70, "Subsubsection",ExpressionUUID->"aca44c62-8880-4c36-bd0e-51ed8ef93f82", CellID->397913863], Cell[2357106, 40762, 646, 18, 70, "Text",ExpressionUUID->"40b43e86-340c-4c1c-ac67-26d174d6b79c", CellID->659844609], Cell[CellGroupData[{ Cell[2357777, 40784, 5660, 123, 70, "Input",ExpressionUUID->"1174e26c-0274-4d6b-8f38-3df4deb61f43", CellID->501567900], Cell[2363440, 40909, 823673, 13509, 70, "Output",ExpressionUUID->"60e9454d-7f04-47b3-bcea-a94655c49682", CellID->840569257] }, Open ]] }, Closed]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[3187186, 54426, 249, 5, 70, "Section",ExpressionUUID->"76af7c73-b7b4-457c-8ae2-da7b600ecd05", CellTags->{"Source & Additional Information", "TemplateSection"}, CellID->611501116], Cell[CellGroupData[{ Cell[3187460, 54435, 1026, 26, 70, "Subsection",ExpressionUUID->"43e1d7ab-1e4e-4d8b-b5ce-e4472222e04b", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256], Cell[3188489, 54463, 49, 1, 70, "Text",ExpressionUUID->"8ee7211a-4854-46ba-8db2-f1834cf53855", CellID->371944346] }, Open ]], Cell[CellGroupData[{ Cell[3188575, 54469, 996, 26, 70, "Subsection",ExpressionUUID->"b35448f5-acc9-4ee2-ab06-c8570f111ce4", CellTags->{"Keywords", "TemplateCellGroup"}, CellID->696375425], Cell[3189574, 54497, 43, 1, 70, "Item",ExpressionUUID->"dd9ca7f9-9e0c-47b1-bdb6-e46ce91c07e3", CellID->981971946] }, Open ]], Cell[CellGroupData[{ Cell[3189654, 54503, 221, 6, 70, "Subsection",ExpressionUUID->"74914370-56dd-4c54-ae1f-0e77b57841ae", CellTags->{"Categories", "TemplateCellGroup"}, CellID->362094786], Cell[3189878, 54511, 8289, 250, 70, "Output",ExpressionUUID->"528aa461-fc09-42bb-993b-b9c8620dcd74", CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->992570531] }, Open ]], Cell[CellGroupData[{ Cell[3198204, 54766, 980, 26, 70, "Subsection",ExpressionUUID->"54b205c5-f101-46d4-a828-a0e46e3e2e2d", CellTags->{"Related Symbols", "TemplateCellGroup"}, CellID->659846169], Cell[3199187, 54794, 44, 1, 70, "Item",ExpressionUUID->"594a3d48-9ef4-4c1e-bf8f-a26f082ac0e8", CellID->608207214], Cell[3199234, 54797, 47, 1, 70, "Item",ExpressionUUID->"346cbb0f-3344-4c0d-87ba-152e804d671c", CellID->618426327], Cell[3199284, 54800, 47, 1, 70, "Item",ExpressionUUID->"dd10615c-9705-42e0-b428-26b54ea23f59", CellID->664462898], Cell[3199334, 54803, 45, 1, 70, "Item",ExpressionUUID->"3745c12b-30b0-4080-aa16-4838a7c643a7", CellID->961916804] }, Open ]], Cell[CellGroupData[{ Cell[3199416, 54809, 1039, 26, 70, "Subsection",ExpressionUUID->"6ad4383f-7054-432c-a567-de5a8eaffc9c", CellTags->{"Related Resource Objects", "TemplateCellGroup"}, CellID->465534472], Cell[3200458, 54837, 50, 1, 70, "Item",ExpressionUUID->"c19b6443-811b-4424-b7af-424ec65dfb39", CellID->468661880], Cell[3200511, 54840, 53, 1, 70, "Item",ExpressionUUID->"0ad2552b-bfbd-4c42-af63-9b5425e452f5", CellID->833832448] }, Open ]], Cell[CellGroupData[{ Cell[3200601, 54846, 1084, 26, 70, "Subsection",ExpressionUUID->"e9ef0640-0e64-4578-9a2e-711e0c4a6da3", CellTags->{"Source/Reference Citation", "TemplateCellGroup"}, CellID->515669552], Cell[3201688, 54874, 516, 8, 70, "Text",ExpressionUUID->"41abcb1d-a056-4dee-b34b-586eccf40fb2", CellTags->{"DefaultContent", "TabNext"}, CellID->436399423] }, Open ]], Cell[CellGroupData[{ Cell[3202241, 54887, 923, 26, 70, "Subsection",ExpressionUUID->"699ab93d-472c-4b84-8267-20e79cef0cdb", CellTags->{"Links", "TemplateCellGroup"}, CellID->571756773], Cell[3203167, 54915, 529, 9, 70, "Item",ExpressionUUID->"7029bc3a-28ba-448c-976d-473de3ea9812", CellID->890565779], Cell[3203699, 54926, 303, 7, 70, "Item",ExpressionUUID->"6312549f-3121-4088-8202-3addf8b603a3", CellID->577036958], Cell[3204005, 54935, 257, 5, 70, "Item",ExpressionUUID->"a23422d4-a475-4e7c-a1f9-11830eb0cb12", CellID->701916140] }, Open ]], Cell[CellGroupData[{ Cell[3204299, 54945, 1874, 45, 70, "Subsection",ExpressionUUID->"7d05dd7c-e362-4aea-b61e-c917d7803f33", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448], Cell[3206176, 54992, 161, 3, 70, "Text",ExpressionUUID->"588c95e9-6f3a-4c58-8087-6a13a5f08674", CellID->329136582], Cell[CellGroupData[{ Cell[3206362, 54999, 376, 10, 70, "Input",ExpressionUUID->"d90a7a9d-86a0-4de9-9cd2-4e4771f50656", CellID->307580305], Cell[3206741, 55011, 1350, 24, 70, "Output",ExpressionUUID->"0ab3663d-f9e5-4982-93ed-37052e655c6a", CellID->823002759] }, Open ]], Cell[3208106, 55038, 228, 4, 70, "Text",ExpressionUUID->"46f8b724-5c22-477d-a2e8-fde6e90bf8e4", CellID->41326562], Cell[CellGroupData[{ Cell[3208359, 55046, 2105, 54, 70, "Input",ExpressionUUID->"05892a70-9076-48a1-b535-407be7b605ab", CellID->628935058], Cell[3210467, 55102, 4552, 69, 70, "Output",ExpressionUUID->"0f835626-c623-4a8f-9ee7-7d50cc92c69f", CellID->693631453] }, Open ]], Cell[3215034, 55174, 232, 4, 70, "Text",ExpressionUUID->"fed0b63d-3ca2-4b18-877a-8d9a52441858", CellID->352510104], Cell[CellGroupData[{ Cell[3215291, 55182, 2190, 55, 70, "Input",ExpressionUUID->"c2212287-9c1a-4bdd-a003-33293bb9760d", CellID->862683544], Cell[3217484, 55239, 4324, 65, 70, "Output",ExpressionUUID->"b25bfc3a-e2f0-4bdf-8660-04ece80ce292", CellID->333169265] }, Open ]], Cell[CellGroupData[{ Cell[3221845, 55309, 2336, 57, 70, "Input",ExpressionUUID->"9f28b9f8-1f24-43a3-97c3-54d8482c6131", CellID->559412131], Cell[3224184, 55368, 4384, 66, 70, "Output",ExpressionUUID->"958bd871-19fb-4342-9ac1-34c14476b736", CellID->503306924] }, Open ]], Cell[CellGroupData[{ Cell[3228605, 55439, 273, 7, 70, "Input",ExpressionUUID->"fc6b9f93-2b4d-43d7-89f7-65fc5853b3c7", CellID->821471518], Cell[3228881, 55448, 338, 7, 70, "Output",ExpressionUUID->"4b91a78e-3bd1-4396-85a5-ee21186058cf", CellID->207848202] }, Open ]], Cell[CellGroupData[{ Cell[3229256, 55460, 368, 10, 70, "Input",ExpressionUUID->"2731d711-7bfd-45da-935a-35b269ef4505", CellID->782334250], Cell[3229627, 55472, 334, 7, 70, "Output",ExpressionUUID->"3e77add0-9546-4a93-8826-e9f8a18936c3", CellID->507561224] }, Open ]], Cell[CellGroupData[{ Cell[3229998, 55484, 369, 10, 70, "Input",ExpressionUUID->"879c046f-a336-46d6-af72-2a790c67b715", CellID->159727264], Cell[3230370, 55496, 334, 7, 70, "Output",ExpressionUUID->"232271a0-a71a-4f9c-9e54-af53d82cf1fc", CellID->255088526] }, Open ]], Cell[CellGroupData[{ Cell[3230741, 55508, 415, 11, 70, "Input",ExpressionUUID->"62db0cd3-5048-4bfc-a969-13963119656f", CellID->310413349], Cell[3231159, 55521, 262, 6, 70, "Output",ExpressionUUID->"61ac2907-48c2-41de-ab26-3784e88da249", CellID->873906592] }, Open ]], Cell[CellGroupData[{ Cell[3231458, 55532, 392, 11, 70, "Input",ExpressionUUID->"7c6da504-cd1c-4a5d-bca9-c64f263e63a8", CellID->383877180], Cell[3231853, 55545, 290, 6, 70, "Output",ExpressionUUID->"c19d6eb3-d8a6-46ba-bc57-10b0febed17c", CellID->539084588] }, Open ]], Cell[CellGroupData[{ Cell[3232180, 55556, 171, 4, 70, "Subsubsection",ExpressionUUID->"0b3363c0-28e5-4b05-8001-4e6bc110ac49", CellID->235125543], Cell[CellGroupData[{ Cell[3232376, 55564, 258, 7, 70, "Input",ExpressionUUID->"6eed401e-6791-448e-891c-2a17fb792cd1", CellID->501594056], Cell[3232637, 55573, 1222, 21, 70, "Message",ExpressionUUID->"063c8f39-c0fb-4535-8bf0-1fb225bc0302", CellID->839942300], Cell[3233862, 55596, 634, 11, 70, "Output",ExpressionUUID->"fd65b37e-600c-48b3-a8bf-9a4eb4f8af34", CellID->329392075] }, Open ]], Cell[CellGroupData[{ Cell[3234533, 55612, 351, 9, 70, "Input",ExpressionUUID->"74074178-585d-4863-8fd5-98c105710d8b", CellID->134152577], Cell[3234887, 55623, 1050, 19, 70, "Message",ExpressionUUID->"962241ce-8da3-475e-a18e-0aa4488b9b2c", CellID->948800984], Cell[3235940, 55644, 471, 9, 70, "Output",ExpressionUUID->"2f449cb4-8a9e-4f6f-906d-4c81bf919dc0", CellID->671461465] }, Open ]], Cell[CellGroupData[{ Cell[3236448, 55658, 272, 7, 70, "Input",ExpressionUUID->"570db5f6-4068-450a-be3b-f63f25a6a4d3", CellID->190887570], Cell[3236723, 55667, 1191, 21, 70, "Message",ExpressionUUID->"bd732d28-db69-401b-bb16-81bec9cb0540", CellID->358887796], Cell[3237917, 55690, 630, 11, 70, "Output",ExpressionUUID->"ca54a071-b02e-444c-8823-f82b933930d6", CellID->99357033] }, Open ]], Cell[CellGroupData[{ Cell[3238584, 55706, 402, 9, 70, "Input",ExpressionUUID->"54bc4672-0339-4bce-a60c-bcc5e4b38ba4", CellID->30607098], Cell[3238989, 55717, 1229, 21, 70, "Message",ExpressionUUID->"43c93d46-932d-4fe6-85d2-2dcf009a6796", CellID->862901046], Cell[3240221, 55740, 626, 11, 70, "Output",ExpressionUUID->"f502d0b6-cf2a-4a6f-82ac-59b20be0fc38", CellID->67818390] }, Open ]], Cell[CellGroupData[{ Cell[3240884, 55756, 368, 9, 70, "Input",ExpressionUUID->"f65b2a1f-d1c5-42dc-94b9-0f54c2afe1d6", CellID->260571217], Cell[3241255, 55767, 1235, 21, 70, "Message",ExpressionUUID->"cfe2deca-66d1-4c10-bbb3-43f2abfd04dc", CellID->585432858], Cell[3242493, 55790, 629, 11, 70, "Output",ExpressionUUID->"392a7a66-f37a-4e5d-b319-ea8472649a40", CellID->860470269] }, Open ]], Cell[CellGroupData[{ Cell[3243159, 55806, 405, 9, 70, "Input",ExpressionUUID->"09c4f3cc-0fdf-46fc-b0ab-a790f324ef41", CellID->634848597], Cell[3243567, 55817, 1233, 21, 70, "Message",ExpressionUUID->"51b3bd08-1b24-4eaa-bc6c-e8413f250598", CellID->791115475], Cell[3244803, 55840, 632, 11, 70, "Output",ExpressionUUID->"36dea80b-f9e5-4569-87e5-d683e8f20366", CellID->238938350] }, Open ]], Cell[CellGroupData[{ Cell[3245472, 55856, 606, 14, 70, "Input",ExpressionUUID->"de8d528f-da95-4580-8a52-9a4cd2579dc4", CellID->491251151], Cell[3246081, 55872, 1070, 19, 70, "Message",ExpressionUUID->"1531b31a-ec8d-4b0d-b6a1-a1c8f9616d27", CellID->112412015], Cell[3247154, 55893, 1069, 19, 70, "Message",ExpressionUUID->"9b20f086-473b-401b-9eff-d6566a6548f9", CellID->665704804], Cell[3248226, 55914, 1070, 19, 70, "Message",ExpressionUUID->"5425d21d-6170-4de8-bf98-3e2e39c07e7f", CellID->822188951], Cell[3249299, 55935, 776, 15, 70, "Message",ExpressionUUID->"d2c279c0-2984-4a83-b313-7af77f272198", CellID->269146169], Cell[3250078, 55952, 477, 9, 70, "Output",ExpressionUUID->"61e26697-607f-4661-9d4f-9079c2877783", CellID->310023666] }, Open ]], Cell[CellGroupData[{ Cell[3250592, 55966, 667, 14, 70, "Input",ExpressionUUID->"bf48da41-2767-456b-a5f3-33b95ed39b47", CellID->425918709], Cell[3251262, 55982, 845, 16, 70, "Message",ExpressionUUID->"cb1d8547-e8d7-4dc2-9a11-7638cd888eec", CellID->20276347], Cell[3252110, 56000, 844, 16, 70, "Message",ExpressionUUID->"daf2c8fd-1bc4-4262-ab61-2ac8bdc96e71", CellID->739992847], Cell[3252957, 56018, 843, 16, 70, "Message",ExpressionUUID->"209e4f9c-fdde-4503-ad41-20715553d1c9", CellID->369048791], Cell[3253803, 56036, 587, 12, 70, "Message",ExpressionUUID->"c9b0eea3-c026-4bef-8742-4554fb59c423", CellID->400226407], Cell[3254393, 56050, 480, 9, 70, "Output",ExpressionUUID->"01fff310-ec30-4c9b-963a-8ed464f8fc58", CellID->233703962] }, Open ]], Cell[CellGroupData[{ Cell[3254910, 56064, 696, 15, 70, "Input",ExpressionUUID->"caabd55a-9c8a-458f-bd2f-8c66a3314ec5", CellID->377415226], Cell[3255609, 56081, 802, 16, 70, "Message",ExpressionUUID->"d9fa4413-cf6c-489a-a70c-2fb97e8047e3", CellID->825435740], Cell[3256414, 56099, 479, 9, 70, "Output",ExpressionUUID->"e987317f-795f-467f-b39f-3ce1480ff4f3", CellID->714168504] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[3256954, 56115, 955, 25, 70, "Subsection",ExpressionUUID->"0432c11b-60b9-49d2-9903-9e0a990ce748", CellTags->{"Compatibility", "TemplateCellGroup"}, CellID->559974822], Cell[CellGroupData[{ Cell[3257934, 56144, 1174, 31, 70, "Subsubsection",ExpressionUUID->"b3060876-f833-4b89-9a0c-af923258d771", CellTags->{"CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016], Cell[3259111, 56177, 89, 2, 70, "Text",ExpressionUUID->"ac0a6c34-1abd-47cc-96c4-7bbf5c103334", CellTags->{"DefaultContent", "ScrapeDefault"}, CellID->913148768] }, Open ]], Cell[CellGroupData[{ Cell[3259237, 56184, 1113, 29, 70, "Subsubsection",ExpressionUUID->"8787546c-7455-4439-a19c-ecb089f658b1", CellTags->{"CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406], Cell[3260353, 56215, 2098, 62, 70, "Output",ExpressionUUID->"36d05668-b008-421a-bd73-2bb33d9f91ef", CellTags->{"CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368] }, Closed]], Cell[CellGroupData[{ Cell[3262488, 56282, 1280, 33, 70, "Subsubsection",ExpressionUUID->"8d2b9d05-a7f1-41e2-89c9-8dc961277261", CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156], Cell[3263771, 56317, 2149, 63, 70, "Output",ExpressionUUID->"603cbc14-fec1-4288-9552-adb2f89bfe32", CellTags->{"CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753] }, Closed]], Cell[CellGroupData[{ Cell[3265957, 56385, 1913, 46, 70, "Subsubsection",ExpressionUUID->"d7819020-b445-4557-b2c9-a9484c8504f3", CellTags->{"CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563], Cell[3267873, 56433, 3986, 117, 70, "Output",ExpressionUUID->"9ed3c3d1-b79a-49bf-b561-a39901352555", CellTags->{"CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750] }, Closed]], Cell[CellGroupData[{ Cell[3271896, 56555, 1071, 27, 70, "Subsubsection",ExpressionUUID->"5a36ecc2-1c0a-447d-a4ca-df8df420c4b1", CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371], Cell[3272970, 56584, 1218, 36, 70, "Output",ExpressionUUID->"3a2d0047-df55-41db-aed7-e59c3458a238", CellTags->{"CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484] }, Closed]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[3274249, 56627, 1155, 28, 70, "Section",ExpressionUUID->"ec4fc981-d6ea-4f92-a9ea-803333737611", CellTags->{"Author Notes", "TemplateCellGroup"}, CellID->681870591], Cell[3275407, 56657, 456, 11, 70, "Text",ExpressionUUID->"10ae97ac-89a9-4db4-8dbc-e28cde0be5ce", CellID->917902228] }, Open ]], Cell[CellGroupData[{ Cell[3275900, 56673, 1033, 26, 70, "Section",ExpressionUUID->"ca43cd38-7e61-4b94-b443-a6819420fe5c", CellTags->{"Submission Notes", "TemplateCellGroup"}, CellID->916799765], Cell[3276936, 56701, 515, 8, 70, "Text",ExpressionUUID->"0c73b7fb-a9b3-4cdf-877a-c009e28adf3b", CellTags->{"DefaultContent", "TabNext"}, CellID->604291542] }, Open ]] }, Open ]] } ] *) (* End of internal cache information *)