(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 13.3' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 1056745, 19804] NotebookOptionsPosition[ 1045944, 19555] NotebookOutlinePosition[ 1048040, 19615] CellTagsIndexPosition[ 1047997, 19612] WindowTitle->ShortInputForm | Example Notebook WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell[TextData[{ "Basic Examples", "\[NonBreakingSpace]", Cell["(2)", "ExampleCount",ExpressionUUID-> "ebfe3ce1-0619-4b75-a4b2-43afa624c8c9"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellID->904125756,ExpressionUUID->"f5a0b295-bff0-4806-9a96-48657659c411"], Cell[TextData[{ "Display the structure of a ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Graph", "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/Graph", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "28ac6638-df25-47d6-83e3-3b41d2e4d3f1"], " expression's input form:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.8509180652685223`*^9, 3.850918094042058*^9}}, CellID->45562831,ExpressionUUID->"4bbff36e-3a8d-4b56-9340-eac6bf245cab"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "[", RowBox[{"RandomGraph", "[", RowBox[{"{", RowBox[{"100", ",", "100"}], "}"}], "]"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.850917980534519*^9, 3.8509180579995337`*^9}}, CellLabel->"In[7]:=", CellID->635094125,ExpressionUUID->"369431ac-a01e-4585-b753-904efcae0ef4"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["Graph", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "99", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100}]]}], "}"}], ",", RowBox[{"{", RowBox[{"Null", ",", RowBox[{ StyleBox["SparseArray", FontWeight->Bold], "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"100", ",", "100"}], "}"}], ",", "0", ",", RowBox[{"{", RowBox[{"1", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "100", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {0, 4, 4, 6, 9, 13, 14, 18, 22, 22, 25, 27, 28, 29, 31, 34, 36, 37, 39, 41, 42, 45, 46, 49, 51, 55, 58, 59, 62, 63, 66, 67, 69, 69, 71, 71, 74, 75, 76, 78, 80, 82, 83, 83, 86, 87, 89, 90, 91, 94, 96, 98, 98, 101, 104, 105, 107, 108, 109, 111, 114, 115, 117, 118, 120, 123, 124, 124, 127, 131, 132, 133, 134, 139, 141, 144, 145, 147, 149, 155, 159, 163, 165, 169, 172, 175, 175, 177, 179, 179, 180, 181, 188, 192, 195, 197, 197, 197, 199, 200}]]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", "9", "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "199", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{61}, {76}, {81}, {5}, {47}, {4}, {38}, {96}, {9}, { 11}, {88}, {95}, {95}, {16}, {25}, {26}, {52}, {2}, {6}, { 21}, {64}, {6}, {25}, {32}, {66}, {81}, {61}, {86}, {67}, { 82}, {8}, {22}, {79}, {51}, {81}, {84}, {63}, {85}, {46}, { 66}, {9}, {16}, {28}, {62}, {93}, {80}, {81}, {85}, {8}, { 11}, {8}, {45}, {58}, {80}, {35}, {50}, {95}, {22}, {47}, { 66}, {70}, {45}, {52}, {70}, {74}, {11}, {54}, {91}, {27}, { 83}, {54}, {84}, {99}, {5}, {55}, {45}, {93}, {76}, {82}, { 54}, {69}, {93}, {26}, {30}, {40}, {20}, {4}, {29}, {94}, { 82}, {27}, {74}, {94}, {17}, {100}, {8}, {31}, {33}, {37}, { 42}, {39}, {60}, {70}, {78}, {83}, {89}, {26}, {94}, {55}, { 82}, {2}, {13}, {74}, {22}, {19}, {93}, {9}, {84}, {85}, { 12}, {20}, {29}, {15}, {42}, {80}, {86}, {29}, {31}, {55}, { 79}, {94}, {93}, {74}, {31}, {50}, {61}, {73}, {92}, {76}, { 77}, {2}, {41}, {75}, {75}, {56}, {99}, {16}, {70}, {24}, { 26}, {69}, {88}, {93}, {96}, {2}, {12}, {17}, {24}, {15}, { 41}, {49}, {60}, {35}, {57}, {18}, {37}, {65}, {93}, {19}, { 24}, {65}, {14}, {69}, {89}, {6}, {80}, {57}, {86}, {33}, { 74}, {23}, {40}, {43}, {63}, {72}, {80}, {84}, {48}, {50}, { 59}, {71}, {6}, {7}, {27}, {5}, {80}, {37}, {78}, {51}}]]}], "}"}]}], "}"}], ",", "Pattern"}], "}"}]}], "]"}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{{3.850917991208218*^9, 3.850918058669085*^9}, 3.872481064714495*^9, 3.8724812176214414`*^9}, CellLabel->"Out[7]=", CellID->925209267,ExpressionUUID->"42dc6971-f309-45ff-9c97-b692aed0f5c3"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell[ "\t", "ExampleDelimiter",ExpressionUUID-> "7aadb59e-26e0-4102-b6c0-dd006acb7be1"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->14107562,ExpressionUUID->"f23c3fd0-8bc6-48d5-a845-afe32f7a0ccf"], Cell[TextData[{ "Explore the low-level structure of a graphics object produced by ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Plot", "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/Plot", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "f031a461-9fa1-43cb-9ab8-4266095d59f1"], ". Try selecting subexpressions with the mouse, navigating with keyboard \ shortcuts, copying and editing code:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969915105649*^9, 3.8499700041516075`*^9}, {3.849970468271371*^9, 3.8499704753831573`*^9}, { 3.850035245346409*^9, 3.8500352473479896`*^9}, {3.8500353179481945`*^9, 3.8500353181510906`*^9}, {3.8502642206538954`*^9, 3.8502642501960917`*^9}, {3.850918100507392*^9, 3.850918119293647*^9}}, CellID->846806185,ExpressionUUID->"d726a043-a9b5-4bcb-9ac8-ae69267fa3e9"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Sin", "[", "x", "]"}], ",", RowBox[{"Sin", "[", RowBox[{"2", "x"}], "]"}], ",", RowBox[{"Sin", "[", RowBox[{"3", "x"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", RowBox[{"2", "Pi"}]}], "}"}], ",", RowBox[{"PlotLegends", "\[Rule]", "\"\\""}]}], "]"}], "//", InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8499674752468834`*^9, 3.8499674820660896`*^9}, 3.850020989727379*^9, {3.850021692433138*^9, 3.850021709609046*^9}, { 3.850105126260402*^9, 3.8501051512770467`*^9}}, CellLabel->"In[8]:=", CellID->199658261,ExpressionUUID->"e1f043e6-e384-413b-8419-f5b9d01d860c"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["Legended", FontWeight->Bold], "[", RowBox[{ RowBox[{ StyleBox["Graphics", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{ StyleBox["Annotation", FrontFaceColor->RGBColor[ Rational[2, 3], 0, 0], BackFaceColor->RGBColor[ Rational[2, 3], 0, 0], FontWeight->Bold, FontColor->RGBColor[ Rational[2, 3], 0, 0], $CellContext`LineColor -> RGBColor[ Rational[2, 3], 0, 0], $CellContext`GraphicsColor -> RGBColor[ Rational[2, 3], 0, 0]], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.368417, 0.506779, 0.709798]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "1.6`", "]"}]}], "]"}], ",", RowBox[{ StyleBox["Line", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "1.2822827157509358`*^-7", ",", "1.2822827157509324`*^-7"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "430", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJwVl3k4lN8bxq1ZUmbeISRF+0pKaaHnVEKRUqJFSFpIEhGSSiUk2SvZUpb4 RnZJTpSikKiEopAsM/Nax8xk+Z3fX+f6XNd73uW+7+d5zqthf27fCTEREZEs URGR/6+Less2z420hXsFTcNzyCp8ruXQHHEOzkfnG3wh6x+F0/zCiCtw9Wm5 TzJZWwxvVKRE3AW1a0k1+8n61TZiSXxEIqzfMcPiQHgi7HNWabkfkQ3rsPCV 951sCB+yzouJwLBB8amBmh+GzZW7ZLe518PN0lc7ZHfUg6uP2bE81+9QdPGN TmlzE5wtPhEqtuAXLM6c+8mY3QZfenbKpNl3QVd386FK6U4I1uKJFB7qAQ2p DNFdzG44v6Iq+nUKG4Tu79dl8nug60TX1aRCNpz3LF6wTrwXLJNEnK++Z8Pz qzPUimf0wibFjdtQLxsa7HQWP53fC2JTT7l4JQe2987aqmvaCxENt41wHgeO n0pWEE3ohVzvPYJX5Vwwa27y0NXrA+HxM1k/XQbgv1k9dffs+8GOOexV6jkA pVNH5r1w6ofKMp/tD/0GINIhsrbRrR/CVIK/HwwdgBcmnptH/fthyad0sS/P BmC9WfDinuR+sNjUbfmBPQA5xxfdDvndD1mMY1OFToOgEmNxtuIQGxTKeqqj 3QYhpVysevoxNnifcY264DMIJj9aDM1Os8Hg3ZVla4IHwb1RPLnMkw2tlxL2 P3s6CHdz3VJMI9kg/bc17XHPIHw0mGk35yMb7F9Z7g07OQQBBzDPbx0H1hQq UyrnhsCNtyDYXY8DYtktjY8uDoH3/NU1tts5kJxkY5UXOASrHtlZzDPnQMf1 kzbfMoZANzl8yyZnDtjv8nSeQw/B6w2+tT+TCDdFB6ZfHAbGmU2cOnEurKm3 2qV9dRiOdjXlFshwQaxaRa4kcBgCHYrYkfJcSC6Jv/vxwTD0HgkvXK/KhY74 lBjuy2Gwyr99QXENF+wdCp7oiIzA7zeuq9fbcOH44JfXrwNHwNHfsV2QzQU7 nzCr4rARaMudc9wnnwvW4qbc7Psj4Klbu3O4mAuWim9UE9NHIDSueHMd8dF4 Y47n5aoRaDdaELm0kQua1+6s3CQ9CjITnzVcRriwXHbnG23GKKjFOltc4HNh SaTE4WXKo/C2eFmz2zgX1FMu3VJeOgp3QOnrQQkaWNWOHTyjUdgS5nupikUD n2F4P+/WKKzPjMtap03DyANRrcy7o9D+MS/stQ4Ng/NfVSbfGwV/UWHB9g00 9OnoDIenjUJx/YN3a4CGnwfnm7m+HwXRYP2ePFMaKpImxVdJ8YDLVr6w9SQN ZctKYhfK86Da48vCvY40vMz10J6jxANOeeF0K2ca8t+ybaYv4QEtOei1242G tJ6WF72GPLi/ILf0x2UaQlYXnUsN4MERrXMmNyJp+LCmqdsjlAeDO5NXyMTQ IL1u7OiOGB4Ys0VuBtyn4cZGXdOuFHJ/VmeSUzwNl7YVLZ1fyYPRq/Jnv6fS UGzQlDhYw4N9bSenaTylgWc4Nqv8Cw9mSB9VsM+kwc1EV9KuiwctN0VDarNp cLIo+h0vPgbvdkW07iymId2y6eDZ6WOwKmbTdMsSGroPjn3SY41BmcjpzMOl NBw7qlvWOn8MGiJObd79moaDJ4tiVbaNgYPuSEjTexqMvIr2R18dA5154lFX v5L39Wn64BA4BitOb4phNRH9fMe26oSNQVGkmljidxq2XNNd3Zg4Bs99XBUT W2lYH1wkx8Rj8HqZs7rBbxouhDRd//VuDFKuqZyM7aAhN3RMmF03Bquj86je ThpWRer2mrWNAbvMNfFcNw0L44oqQybGIH99lZ9GPw32CU161pJ8uN58a3gT m4akpLG8FTP4MGugp8aUQ8OcFN3kD3P4kLst5L9DNA2H06xUYhfyQd3ZPNdi gIb7Ty+GOa7kw6auV6rGgyRfWUV+0np8aL6Tqqw8TMPe502jTdv5MKCZnzlC ODR3zDnNhA/DE7cfVY/QIFuke8TwCB/qBPX51jwajF9YNSge58P02W2fZ4/R EPDy4s4/TuR99ozu/UxY7HWR7g0fPph/jb6wREBDxgwqdcKfDyESv/d+Ibzv iLPCxdt8+JnepOMlpEGY/s5/IJIP4VUm6qx/NDzmqQ86xvFBi8tkpRA2Nbhk 2/mEDwFLRWdojpP8h3+ttX7GhwLZ4RlZhA1WBWfsKePDRLr5wsgJGtg+XcrV 7/hgpuG3kU84qmrLrW2f+DD+YuUBi0ka9GY9GH3ZxAeruO0X0wj/OT58fN0v Pqz3zEwcJByas7shq4cPU9576tZMET+n0tDSQT48s1ETP0O4zVQs+5GAD422 kltiCQfEWqupigkgRV/o95qwZk/h7ShZAYzpDVb+JPxtHVM4gyWA7Us6qCHC ftfPnL6lKoCMXe9PTBBe8rnym8hCAYx4x5dNEa6fq77DZ6UAouUc1ASEvZx9 8oZ1BJDZNse/l7B6yReNs/oCGN9bw64nXCWlFda9QwA8Y++j2YRdDwRN2poJ IHv1qi83CCs/7nRuthRAO294rznh1wP6rftsCc/80ahA2HHL/Z01pwTw2JVn /Yl8PxUyVLTDVQAv7luyrxIuaTZdjL0EsCWQ8l9G2H5JWtSGawL48Xbb3Gqi r6yHqHhukAAqDoqV2xLOrThyfkWEABIaXJw4xJ/DjML2J7ECuLsjfbYbYTEb htncxwJYsPPzZw7xNzPTqfRepgBMBDPD7AhbCN4uZ+YLYDcv8MAHko9xw3kP gksF8MrBcf4KwqYdjR6XawVw4RXV+JlP8qCl2cX7Sr7/pl6REuG4y4H7XNsE gHxDH1uQPHKU9bWO0wK4ciQwOm+U+LsntceYKSTzx+WP5BDxN17EqkJFCJlj 9kwJUh9tfYcrN88XwrHcS0YCUk9aAfLJmmuFQOsYN1aReqsv9TqicEAIdSaq buM9xB/Zxuo7R4WgLk2P5f4l/hxctUHqpBC09G8E25F6dh3+rSD0FIK4xfmm JFLvzOUmde33hbAnylK18CfpT1KJzKokIfSfddNCP4jef4YsnqcLISHS91JF Cw0Oj2JbrxYLITe8oTSb9J9i5b4eje9COHJMi175mYY7PP2Vsr+EwLA8XOv1 ifjzJfzc0F8hLImJ6C6tpWF62EZexZgQuEFtH1d9oMFGKkjcQekfsM/ruuRW 0LD2zw9D03n/wDOD0n5N+qH0m9XBOkv+QV1C5Jp3ZcRPv+8MSd1/0DriOVxC +qkkb8ncVMt/IDVY5mOUS8N/Xe829ET/g2LhCUVOIg3XKmb71sf/g89+WSJX SH+3THLBxSn/oFZ241qZhzSIWM8yDCr4BxUnL7tOI/Nhf+OJ/cu//oOPA3JH n9wm/aBcwsVZYRySeBWhLh6k3yRuezwQMQ7vAuU2b91Ow62q+p/+D8ehWNVj URSZb+8GbZQVn5Drd6xWbttMww6DS3c2FozDvGuds63IfNzWm3fRv2kcft7I yfu5kNT/2kWmCnMmIDNoTHMLmber30uN6qZMwLWYzlyLUi6cG4jW+vBsAuD5 zd7gIi5kqSx0si6cgLdWN/YU53JhlTNqv/p+AmRkF2Tz08l8Z3pXV/dOQOGd HV3y0VxYeKQv/ojmJDhnHnN8cIYLSnSN4ZWiSaiQ7PBdQHHhfjg+1osnIfSa sZKNHBeUdXJ991dNwsu0ZfZh0wh738td0jwJZzqr5X8IOTBb3H5uvXASVmlJ 8OU7OTBXaWxUfcsUjHYMn+vP4cBi0EipeDsFqV5jzMs7ORD7vkRU3FEEHVH4 tcjdjg0Dv557084iyP55XLomOf8ZCVMHW11F0MmM2EOd5mwYWRn5O99LBC1U O7Z7w3Y2mEWcKT8ZKIIUnZOehS1ig9jROdc+pImgkoaAjvGefjgzdFkkolsE +TaJiNST86me2tYpdQdRVH8r8FDt4T4wtv7iZn9aFH1vf9OtYd4HFg9PdT92 FkWHBTdFzxn1wRmV0NrFHqKo7V9s39DaPohVbH24MkAUfSo+8f2RXB/wZ3hs 2JAuii6VGUYllPZC/mT6+T1sUXQrwjBwiVIvrPjF6Lp8QQwd0h3uUiv6C8/S qdMFbuJIjif1ybW9C3zbjjauCJBAP/edWHbd5Tec19tgkhAliXzrjaLW+rWC MNHAvj9sGmrpNn1UpfkF6l1j7S4mS6G5ct5L3b68h41G8yd/PpJGn7/JnZwU eQ7VOzamozgZtLHeZm52SBZOyXmwsSNTFtWz1PVSLlZhxQUrnWyeTkcWS3IX Gv5pxA2i0v4qpXJI4kPiU52WVlwg7Z5aXz0DRXmvLngT8xuvVGQ42VfORCvD Hh+0ftmF6VCewtpv8kjrDrNzcfVfzB6YW7GqRR4ZJr4pqW78i/v2GZ1b2iaP Kun9z062/cVds+5Xq3UTHr/7PXT4L25J2OgnzZNHmyJMJ++p9WB7q7JhriwD qS+333bbtQfvPiV69O1yBtoe79DUyezFC27d0jrnxEAy1Zb+jVv7sNs3HT97 ZwZaXyge+3JXH369qKPmgAsDLW07eT5+fx+2eavnpOfGQOGtbZZmJ/pwrOjQ ExkfBjrT/7ncIbAPU77Ws58EMZCXWZihfW0fFjuvLdmczkCOx8brw/f1Y/PX bftrMhhoVZDin2eH+3GSfEgy/o+BfGP0vN7Y9+MtWd2Q+pyBfuRIKrS69WOf /oc+7sUMFPSXxX4Z0Y+HTkwbmFHFQPWfSi5u+9yPOw63tmz7y0DaO7bOsdzJ xnL6Vml2vQyU8Kr1k545G6+b1+ju189AnJnyMaqH2Diw84NcCc1Asy3dzMtP s7GWc8kWbT4DORVNM3p2i419Lz9InifDRBl2kSaSb9lYMcnKaXw5E+2TDtFI W8/BW/wb189exUSvTjXMDNHn4NMOe8Q3aDGR4dLgmtMGHFy61CjOfS0T6fUl 5cjs42D7nPV1fZuZ6E29NqfHmYOzKhTXNJsykYZ68i3VRxxs/KdRUODCRF0L THMMxLn48orQS9muTGRUGjX8UpqLc88bT6S7MdHlcPWuFTO5WHWyVCTOk4ne txd+GFXmYu6sVCl/PyaaDNMJ0tbk4ihjL0WzUCZqWCX9n5EVF//KnKPd/YyJ ahPl2X8ec7Hi0Lfc9mwmWvPcMNA1nYt3bQjXac5hotQLXzOH/+PivLeSG2oK mCjrT/SNzgIuDvjJ3ZL7iolWMExsHN+TX1n5clO/WiYS5FVXyvVysZfbidOz OEy0P9neNnMxjQNNuKc20Uy0tXr1tIjlNL638OIpm0EmOsUWe31Ok8aF3wJP po4yUXC/0WnGehoPb/rPYf0kE3W6jzp3G9DYRXzYzlKeQiGOptZddjS+/OOS nQ+TQovHZuVvdqBxSIGEXQKLQoZ/j80MPkXjzFOzbLuVKETxct5Nd6Fxz8eN Rz3VKcQxObzysQ+Nj0ddPRSjTSGGHEhqRNDY7azMoZK1FOq9p6jSE0Vjf8OI g23rKHRg4pJG6j0aJ/EfWy3eRKHIvG9yUvE0brN+f6BwG4UWhDhusE6jMWfd 3gMtBhRK9N/X2vKUxuMzmy0mDSm0+dJH573/0Vi1vG+/oQmFzn1LOKieQ+OD i2bu+7afQpruhWh/CY1PT8aYCw9QKDiEbxBUSuOLTfPM5x6k0DLJ82sKy2gc E6S996Q1hVY8D3o3UkHjRo6FGc+BQo4yIRUSH2lsVvhw1yxPCm1SHb59rpnc b9h+StGLQtvkHu7lt9D4+url+Yo+FNIbbVX3/kHj4oxiNUU/CrmZZnTYt9N4 fuLXAVYAhRaluP/+1kVjvR9xKaxAopd4PX9eN42tVBwOs4IpZLdtXPnYX6J3 5NAbKpRCLx/cdPvYS2PeLfl7zBgKsTDLH3FpzKj8ZsK8T/ZvftC0k6bxCrEE EWYs8aP2yVqTARrb+a50YiRQ6InKnsl1QzT2eTE8l5FEIQ9Dd+d5wzSO5pU0 yicTdlr6S2SExh9cd+rLp1IoweFkU+YojbueMYZmplPIIu7GYQ8ejaf6mlJn ZhB9Q2061o/RWOfEScbMLArNMQ+YesQn+iSvqpzxnDzfwzvKREBjx/YR7xm5 FDISuq3iEE44dL1TrpBCp141Oyn/I/rE7LovV0yh4a3jM5MJNzYyd8uVUEih 4G7hgnEacxnNonKlFHIpdD8WT1jaLKlwehmF1nUFyctPED1vnzoz/TWFtrQW vPYirF+lqT69gkLiuj8vtBA+KMn7IvuWQmnhf1foTJL8bXsVJPuOQhPXy/7c JBxy5cYW2SoKRaTsTibnbZxWajIs84FC/4X4H2NO0bhCQKXL1FBoX53pAhPC P9a3WMvUUWjvZPxfX8I890dMmXoKbcx2zEolzMw5/U66gUJn3cg0IrySq3VJ +guFlL4bb+8gbLhiTEv6G4XWntvNHCFsd7qsS+o7hcIqs36T/w98KeXmA6kW CtWdcson/x84psPUTOoHycPvK0Hk/wM/n6cgLtVG6rN0wK6f8Afr1qJpv8jz /F9v+kr4z4Nk52kdJA8lI7OKCIs0OWpM66JQNTtqNIzwbAXtb5LdZH98xjd7 wjrm/GDJHgrdMd9aspLwnlAMkn1k/+2TSVyih9PHgBEJNtGnbllQOuEb0mZP JbgUWhIbd+Ew4YQdijYSAxRiujTYSxB+4f+Dkhii0PmqX/tTif7ccSdfcR6F QsX+bmkg/h06aLJMMEahM/Yi8TaE3+at+MYVUKipsnR3J/H/gRNbq2WCQiIN MWlfhTSWeFfz49MUyc/a0b3bCbtoPAuqFGUhDRmv3U9Jngy+n+18LslCPu+v IhuSv+y1ZmGpUixkschS9xnJ5+y7mvpxMixk18G9NkLyO7CDjrk1g4Wmp6mx nEm+H+a57rJRJJz7avnUII2nyZuP7VdioUO+3LcMwq5O2k92qrDQ2E+v/Nmk ngw1hiZ01Fjo2aXAKCVSf0Oh7jnTF7GQZ6GvbQGpz6N9+21El7DQe65lZlAP jat26EwfW8pCCSUxZpaknuPHRxw6VpL9wnNx30n9Gzt5Kr/QYaHsmzNtrpH+ kFdpWZm1noU4XXfOKrfReK6GrtuTDSwU6jXyLY30k+GmsY939VhIf6ilOLv5 //p7XzlpwEJFvaveHG+kscyjQyutDVmo56Mw89VnGl8Y39hsbsxCV0VTB+Xr abwzT7hG35SFTOrWRcfX0HhE3bebZcFCs214xkcraWzrax0pY8lC+R4OC33e kHw16aEpK6LnXjW7u+U0TgydeNB3hIV27zEWJr+i8a5xv93lx1lo6Z/v71wK aPyo6Vq+izsLxcy+q/3gMY27K1e3h3qwkBAVFkk/IvWQ3y6TfZGFZoDBnnMJ ZB6F6dvSl1joJjugQOMBjWt2CmRcb7DQRptGd9VQGvNfutqejyb3N9d0PO5J 4y0Z84LD77GQVu3h4wbupN/er8vPeUD8rW+5NMeVxjM9VsoOxbOQV9Dp6bmO NF6g2ZPvlspCl/tNy9ysSX9KspW9UMRCCuKixiaIxlGhM9dFvWChFrOGewl6 NG72fWWb/5KFaptOKPZuoLHDIdWCEcxCU1nTEo5r09ibarL1qGKhgDXq4rQG jZ/cMCvwbGahbratgp0ojYWn9e28/7FQQ21wRN4LMt9fLkceEyz0JifjGiLz /OEMZfXzUyzkfFays/I5F+vlDrWfFldAjX5fRUrSuNjvX5rtwekKiHNZs8oo movFQylbXVUF9CzbJEDowsVyeX+Pjm5SQOX/HVhUOYeLrSW/6g/qKaDtNXOT 7ZW4+JlVhRpniwKqpfhFfCYXm43H/ezapoBiI1bnz5Ti4rAd+45+2aWA0hI8 FDoGOFjhe6l13mEF1FO1KH3JGw5Wmwg/ct6H8N9YlQ325HzUsfvFPV8F1FGX p+VwhIMvvJdRKvNTQIUDDR9uWXDwh/BrDbLXFdDMRtb9AkMO9lx8fueT2wro 5/Xid5nLObh+z17dpjgFdE3CXF9ikI39k2ey9LECailWPHDhIht3G93+IC2h iKxtOWs/nenH9iZ26oumKaIrO320lY73459m6zy3SiuiccHvUCtyXv1yoF3D R04R/dEScy837scVx9d69ysQVkKLNi3qx/FXWpfULVJEe0dcbMp/9GGLohU3 I40UUVL9kbENhn34zeIamHtbETUdf6thL96LnaRTJTRkZiHPHbK7am27cVHS Qv034bOQ1KtVTqUanbhus17lPqYSCnArqXxzrx3znR7utwtVQlpFFiXvI7/j qr2JB2bMUkYTbd/fq4fWY/uNemlpUcrooad1ulpcOXbk1I7+iFFGpZJ2mmqW 5dj1ka0B9UAZ1fR+PKPEKMdXZK7/9o1XRqxpm+3Hr7/Gcc3VqvtSlVHQhbeL FZvK8Ddvq7DxImXU2DPLM9q9BO8qcfM2b1VGDc4JM36l5mBzF4mqgJ/KaOP3 ptZ2lRx8cH7MrNJ2ZbTg+lf3lpDn+FTwi7zFXcrouD91+NqfLHzjsAj3H1sZ VfloDmT6ZuAy4R371Ell5Pk0enHk00e4MmteTquICuI5nTNVuJuEa+xzphji Kqg1LL9GvTcBt374EndJSgV9NnoQP+oXi/mxqk17GSro1/bEku0Z4XjK7Nmi AEoFOSzetZnRF4qnicOFlwoqaM2wffTdK8FY4Yw9c7EK2f/176mLGdew6rwR 2yOqKmgh1T6/8ooPnt94MytMTQW9SPWwj8w4j5ffUpqonKeCdOPOXinOOIa1 Nz81+adBrte+U9e57lrZ/wDMQNGd "]]]}], "}"}], "]"}]}], "}"}], ",", "\"\\""}], "]"}], ",", RowBox[{ StyleBox["Annotation", FrontFaceColor->RGBColor[ Rational[2, 3], 0, 0], BackFaceColor->RGBColor[ Rational[2, 3], 0, 0], FontWeight->Bold, FontColor->RGBColor[ Rational[2, 3], 0, 0], $CellContext`LineColor -> RGBColor[ Rational[2, 3], 0, 0], $CellContext`GraphicsColor -> RGBColor[ Rational[2, 3], 0, 0]], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.880722, 0.611041, 0.142051]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "1.6`", "]"}]}], "]"}], ",", RowBox[{ StyleBox["Line", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "1.2822827157509358`*^-7", ",", "2.5645654315018436`*^-7"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "700", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJwVmHk4VO8bxhkq2QaZsSZakEqryjd6n4QKlWRpIVJaRVRKthahTQhFipSS fYmKeIWiRdmSfTdmjJnXrqy/8/tnzvW5zjnXPM993897znvUHF0tnGgCAgIf qZ//H5dxCreoPLRHv0wWKys8dEUTGauPN4S5IhYYs0rD/FCP7Km/udRx+Y4Z QaewB6jR2L84gTquUBvm2YXGot/2YRpPw2IRvfDwfN/76cjCWaHxcVg6Mk3e eHKRL0ahQ7bZkWEYxV21/dQOv9CWzyaiBhcq0caGt5lnr7QhqdpXvzY9rETX gnMChDPaUHcnLWJVdiVyNB7GPr1tKFggf5HCcCXq3jQOIivaUeeWFToD7lXI dOnq2PrH7SgoS8zhmXs1MlcS67dx60B1sT9yJtxq0SWP61sZjC6UnKbpNRBa i4QPaodna3ehawX+wMqsRe1fzpRt3dmFljfpfa8arEXp4x8clLy6kDcztT3R 7TcigbNRfW1daMn9+2I2bnWo43LPtu8J3ej81T1Hs8/Xo54Bt6N9aixk4qKX KBJSj8zezpe6vpmFljhqEbv0eiQmXHKetpeF6nbN9RHh16OsP/ZDpV4spK9Q +NjubANasEAr1riWhUTfr6qcd6IRuQ8+19K63osSRsWR7eFmtHh50efOr2zk y5m4lXm1GYWfTLnxuoWNDrSwf8yNbkZlE9dPWQ6ykfjn0kOZ9c3on8/dYyfk Ocg93NtjrnULMj8bIn7aiYNgfX9qhnkreitnvbhhgoPOvXcKpi1pRwE3vUbZ MlykvWufquCGdlR564vW36VcNNCglzVr2I7oP/yK2Bu56OLkgrqpE+3ogtjZ j+cOcdHVrcULx5Pa0cedM2XCcVwUUKqSyl3XgVYlFq+2XtaPdlqJor7tHWjC 9vUWd51+NJ81Wsm27ECbj4VfdDHqR/fmVYz0eHQg/6igZfOc+tFDEy+99rwO NHbn88N38f0orvLP91qDTrR9QubxHHkecjxaYlezvxNFnUnZq6zOQ0uG0kjV 8U7k+ff7UpkNPPRqQcCCXwGdaNHiEnb0Xh5Ktd5w+Ou3TrSeU6ix6BYP5TWH 9BVYdCGzMF3fHg4PeZ/z9v54rAvp/ZGYYY3ykP7MScn8i11Iamwy44sgHxUt QuveR3ahXfW5V1UV+KjMkeeZ1diF2F+mVusZ81Ete9f8147dSLfwwbr50XxE ojSNbrp3o9TEO8fhBR+Jms67bn+jGx1mvfY6mMJHkFr6Vy6+G/FiXuqsLeSj ZDfEDuroRkmL4nsutfPRl8UqS50Gu9HZ4SazfDYftddM2W8T7EFRPkOWnQN8 xNyY9+efag/qeFau8VuAoBsTG8rOOPQg9YWas2aLCHqavEBox/keJDx+6+Ez dYLe2w5tXXKtB43hgbtVqwjiFabnNsX2oAtB+F7TFoIO3NR6ZdbWgyqWRtP9 rAm6sGF+pybpQdtMeoSbbAkK7uldOGe2B7XZDmnKHyOodEdCRIEKC91V4Xbr uBK0Wlz1lvYRFvIw0AiauUWQScFMkagLC3Wu9N1z7C5Bx11aplg+LKTR1sJ4 E0JQdGX0xdinLLS7Ufnhn2iC5kYwjku1sJBCyvxCnEqQmvFIbH8/C6kbGNBW ZhGkN17dVD7FQv5hJ9U8cwlyOxiy/7pyL5qjlN6WU0hQ80Kx7UOHe5H/qeO8 9xUEjf/k+P4824vu7raPWlFFkMy18rwkr14UtL9K0K+WoJ2dt9Yde9KLImQ1 JssaCTr28LgLSu5FxZUttwpaCPI13J6klN+L1uRmFj1sJyj7lcDi2sZetMr2 zZbOHoJ+2rTZZfT1IrVtkR6H2ASxRQqj7k30IvR0nU12H0FCeTG/T4myUTFt TVN/P0EqZ72kjRTZqK/2iMA8QpCu8qHdalpstNAkrVRwkCDLis23p3XZaPjc SvWWIYLurB4TyD3IRhuXBX7QGSPo6uVdK1hn2GgmYolT1ThBp3GMFdObjRyH jqzc+Y/yb96An/F9NuK9D5KInqD627s9yeMZdf+04ryySYI2P4qsfZXORq9P 58n9miJIs40zU1fERmLbNm7NmiZIXkN/+bxqqj77IM/zMwTNcw3Zv6mLjT7p /y6fP0vQWG6Xz8kRNhrhnV3hSzFrZmPiozkc9FL1S1wFxXXGd6rLmBxkuCRI 8y/FX4JbpsY1OEi441rxNMW5dWs0NHU5SKzrjUsrxQkq/vsOmHCQn7nGqmiK w0/88Qo6zEEH+Dtm1lDsn6b16r0zB81bdKsznqrn4phPJduHg7gdNxoJVe+x rVUT8g84KLya3itHsUXA0mW74jioUmPZfCWqP4Ofl/d6ZnJQaBZr2z9Kj3XM 755vijkoujk+LIvSa/ERlZcNNRw09ap6yvgvlY9Xbj/n93CQU6LCjVxKb0F+ 6V/dMQ7SFTNeKjhK0ICO/JIz8/rQ9bvmPerDBLX7nN0dLd+H4i7almlQ/lV+ Lrz8bXkfann27ocQ5W+RhEz8xH99KN+5cTyP8j/DyumHllkfUis/abqbykfs 0/djh+z6kMmiVd/yeqm8rbI3zffrQwOTp600OglyuZR1iRvShwJ/m59SbyPI rmBOnFJ8H0o03ZMt0EzNw+6UEa/SPjT6YavAjt8ErYyYVUn53YeUH43Mz6by rtxisauZ1Ycqq4wPT1DzMOn876nefC466CLPUvxCUN9bs3JnRS4qzE3VHPlE UONU7FDMCi4yXyT2ObGAoLx7xjumd3OR2XWlRS/fEnQl5eFAQRgXiZR95HXF EXRqhKXIf8FFj+gRYY+fEGSj95+RSg4XRT30LNCMJGjjj/Yo3z9c9Fc/qbDp DkEj3FXbkXI/2vIpQ/O+O0Hd66+fc13Vj1oTvuWqOBNU41X7KHZrP/qcnSd4 z4mgLDGv/lmHfnQp81n/Pxtq3leURxQl9COByCWjS6j1qtup+1pcbj9iVq7u fbeeIOs4AedrZf0oImzf0uUrCfqPoWsAnH7EDo15/kKZINrsGz5eyUNTdtpP /03yUVj13R04m4cmc3UK1r7lI2GJxHWxpTwE8V4Jz5L4yGNH6UK/3zx04Y61 GyeOjw59nBreOs5DJtGL2+Tv89HiV+fiCv/jo5IVhSbtx/goy3Pvv4JPfKS9 g/ZESYyPlr492/20mo8qvvBUnGd5KJIf+Muni49WX20yfDLMQ1ePFSXozyFo /+TF5IgmHjLYvdaiYCdBLa0fbafe8FCN6oLkj78IerXQLPQp8NDEsbNpLS4D aN/v9rLHVv3IQXr4ykePATTTKpjBMaZ0K7y6/YnvAJJcK/ffos39KEThTv2B 4AEUme91brNiP9L4lUirTR1AaSPe7KUtXGT5H8v6W/8AUkpoRsN2XJQmdXQ2 98wgKscfDWtM+5BsIftrhPsgGv9cv6hOtw95nj0ffvHqIDIPlI/CGn3I8Ivf 8nV3BhFXYHGKsVAfavJ6tj/1zSDafOGeocYHDhLpbXr9gj2IfoRl0Q1UOcix wNo85MQQCt/75vLR5l60LldeRsF1CC38u7I8/HMvoqU31jy/PIR+nNsqlprW i+LjjthkBw0h5yPnqu5d60WdN08cqUsaQq0vbJH4kl7kaOLhrEyGUMPFB/TF x1jI8U9EUOLlYbR3TdHEmcpudGywtqgoaASJcPm6DU4d6N6ad66vAsaQ5h15 qzTvWkQrerfJ/+pfdPrEESMu+y2S1jL92fZ4Aun0HTOtMyvDO2MNXgyETSFe oLrR/oxGHFhe2XLjyRRKKl4dFclvxF8Gj8gzXk6h1R4DtPyVTdjI0Ou+bs4U 6lI/OZGQ2IQNONmXb/yZQqZN799OPWvGeuuXmckqT6Ppy8aprrda8ZqyeaOb EqbRNjHfdSVKHdh1IGL1t9RpNK/lQnDW5g6cprD0jG3uNMp8mbos2KoDr3KG tmtl08hO9eb1+Q86sJa059evnGlk4fbHUkKwEy893Pf0sPYMavZbyV7Z0Ynl yA9jv3czKOzYtYz+kG78OBQf5eAZlBotEJyU1I3lN2R57y+fQc5TLsH7Sin2 fJSl0TCDkmySAw6Nd2NFIUeVyokZtFDfDKxse7CK3Pio6tZZtIf54M5vNRZW R2oJxaWzSL698ZZhdC9+1bGgaGXFLFr1yax4MKMXq/vPbYr8PYtklOW++pf1 Yo2vXKmzrFnkPtFfdXikF4cvP1w4X1gAjhsFKn83Y+PI7GVaWcsEAH3Kt4r6 y8bRZXmCQqcFwOmjw13zLX14oD3DkzgLgMnsfcOtu/vwjolXg03nBYBXwkqT se/DIysfdry9IgCerg8tXG/04T1hZz+dCKKu9702OVrWh2l2yte/vRaAXsH2 fVp7uPiAh8y/3GQBGPLq3el1hIvTH4i4vUgXANqFNX2ZLlxsWzzi4P1OAKZF dXm/grk4V6MCtMsEwKY+wriigovPDvkIhLEEYIKuoV5k3I+LxS5e8e0TgED+ sjfHrfqx/LIzA2f4AvBtWxWbd6wff7Gxbt8+JgB+05Yn0q71Y9UC7aLROYLA TefU97zvx7WBbX4HlwmC4jLhvsVLeVhv4bZZ1eOCkCyq/sanh4d32ta6O54S hLslXQ9CBnnY8slJ1gtnQWjL/B16fZqHzyoEV6hfEoQPV85mTsvycTSj6cnK AEHYV3aEb2vAx38lLm3enCgIag5G1imRfCy8WyTFM0UQpOvz+NFxfCx178mi /AxBWF5j0HwiiY81RIvnbv0gCCpB1nciC/jYei799/ZvguBvXjDHspOP384k uu3tFwSPGzHhW5cRXKSv1xMyIAieWr+fT68k+If3rwPVI4IwmLDZKWoDwV0T o8hqWhBYW3T6T2wnWGbcQPKwJA3IwIcFB+0JVtlYdz1Ghgb+XSzOlBPBWpdO j7YwaRDmn6fj40zwtuEHzQ6LaJCcISm9wJPg86Q56cQaGvBW7ZJ5GEKwt/Z5 lcQNNJBMOl+pEElw0DmhMM5mGnxS+Frh/YTgWO5yT+dtNFDLqTr3J4HgJK2C /lQjGghHfhX+lURw7mlzB7KLBuqd10vi0wn+2euxw92CBtwd1+Nb3xPcqC6a n21Ng+pky/fGBQT3OD3VHj1EA0slwY47nwie6iphXDlGgyPNH21efyV4RbtU t89FGnAK7tutqSd4T69qsccVGuy815CxrYmqn78mztWbBvp9ytHrWwl+O2Vu e9SfBlvvii350EVwndDR/w4F0cCix7DAjEXwX1E3+f33aHCSFtZZxCZYTyG0 1jCc6rexvtSER/AR1edZ+o9p0FNzwMeBEHxNIzNkYwwNMhf8e2c9SHC89ieX 1XE0qLX55r5qmOBSnSozzZc0uOcyldw9QjBLr0NLLZEGHze1HvUeI1jEcFBE MYUGEa9awkbGKT9MBXtlMmiwrCRQf/c/gs0spD+LvaVBaXKQQ8AEwS4H1V4I v6fBscjkidhJgkMc1l6fzqdBflWjaPQUwVknt9mPYRoc/7Io5OI0wbUu+/RJ CeXPePzt1TMEj106qsQuo0GjcMrYN4rlfdz+tX+nAf3N8zrjWYL/87/+p+EX 1c/H+ctfUGx7NzSnuoYGV3Ru89oo9g17/vD7Hxq0qXcvod43cVxUpltpEw0c iqe/T1BcHPdpb0Eb1a9NfU89xd2vq1bldtFAwjLC7RHFc9M7xNJ7aXBz+yXX jRRr5g5yXnNpYPTrT1sOVY9JgWB5HKGBUOGWEgbFzqXSr6KGabBreKuiNdVP 8Hc1/7BxGrS7POvxoPrNqF7reHeSBopmG9WvUHpUN2wD/1kajBQJthyk9Bpp 36fiIyQEKguVxJQpPZnso1OX5gkBpzw/s5DSezNxa3QREwJJQ73qbZQf3tOh kQ4LhGCbbGMAZ4jgZ8LxFw/KCYFx1XYVScrfIrEsCwslIdijpb5xAeW/sGK1 pOESIZjYtJ0U9hGsrtbZr6chBD6VxeFOVH52ag5901khBPfLDUv6ewi+t1Em UGO9ELhMa3+OaSc4TX+xk+omIUi1rn36uYXgSsN12xW2CMHy7WPzfzUSLLvf YlZ0uxB8mvFNvFlL8MZDji1CO4RgXaVih3YVwQeOuudPmQjBqfVPP+RVEBzj GnaZb0H9n6rsgYtfCC70iLfqtRaC8jU6y+KLCW73yVrffoiqvz4iLqOQ4KX3 qkmVoxDs/Fmc6ZpLcGqizKkcdyHYv8coy+Mlwf6/8Tahy1S99jstDWKpPNDO Ke3zEoIjO+wOcqIIFrUt+9l/UwjiNJITvgYTfILurbM0QgiU38fO1HgQrK+3 nO4eJQSWzCpXr/NUP6fr2PipEFSv0r86c5rgkuI1MYdfCUHFgqkrj2wJVvXo oT18JwQ/Or9MMIDg8fiw5vZ8ITjPOiD9ZDO1XvxCudpFQlCV+Edwag3BPsuj T38rF4IMHenwfWrU+tG8p1KwUQjW7K30NRMgOHz7+6fnp4RA1WFK4M47Pj57 3ulyoYAwlN503lCVyscGT2X2ic8RhsL+q50jL/h4cMxZOFFCGKRCjJurHvDx niS1s20qwvDE5UhIlxMfi0jf3bxnmzDoupf+PC/Gx236m2VijITh2PvH9rdm eTj3TA+Xs0sYqp0bNlwe5mGnUhR7y0IYPpk97R5q5OHiyyNzCo4JQ5xgO8c0 kYe9W+1qVgQIw+eErIehejw8skP/qdMdYUi+pqpZos3DzpnKJ2ODheEd+4dW rSoPH/ZvmpB5JAyyrrofwoV5+D+tg4snXlPXv8jJDf3Wj/9dsnQr/yoM752G 790278ceEqZ0J4k5oL2qOqfPkIv5HloNz6TngME/QbbWei4+0T7/RT1jDgz+ GCg0U+Ni6+zyjWYqcyDecjBJZ7oP6xw0PrJ+9RzIblmW9Sybev6/3JYquG8O cLWM4toU+7Cb3mbTZ+Fz4OO2db/e1rCxgEu434PHc2C3RHtPMWbj4NiB7Gsx c6A4JGTofTIbJ9HeKB97OQeOLOzfYneTjTvLFfgab+eA3ZJtOUFr2djSajIk s2YO9D4/UOJ9uxdvdCmsK5WZCxxhy8HTmiw8EWvoyA2ZC8kPJzcu1ejCW8f1 w9ZGzAUND52mt2Jd+PqeTcWXo+bC6Ihb0eqBTiwyvXyxcPxcyLHO/979vhMz DtE7lbPngovJmcN7d3XiNbKNR/f8nguJTxbaGZzowE5BrkczFebBEz2jjfOX tOHK89EOl+Pngfb7//Z9P/0H6+5YPNPyXAT+/blcMTqI8Vcj3USImQ8uGwbF i3wLUUJmlG5nsijoCfoVLxOuR2cmD2vVp4tC755DF/9srUdrjFSUfmaLwtK8 Dw5unvXoY3381Id8Ubg+z0TIjl+PamaTceh3UXir9GWlxJ8GJLin0GgbVxQs WukmsS+akF1f5744LTF48nO2UFCzDTGWrDxz5I0YvDvNTe9jd6KQsLvWb1LF IM0n+99D4S4kSuMajGSKwQmbU7Yaql1IoOON0p08MdhBEnliNl2o/5lGRc53 MRgxCv5RXtKFShWXrJHgi4Gz8RHdscfd6KKM4lj+OnEwUOn+z3QtC5Hrnp1z N4lDlJGmwtQuFjozWP9z3xZxmFLjmj50ZCGHykeve7eLwx6TYv2LD1nILJhx cIGVOFjbSG+bHmahJaLSH89cFget2+tiFmT0ompBkRsKH8XBUoqkRS7gIH5q 1BHzInHQq9M4elWTg+YfWrElsFQcXvw0VzfQ5yDI2jMy8kMcynT33Pc5wUFp jhEnKlvEgWz9svf5Ow66W7LYNHBWHOo77ijftqT2T7f0ZUcNJKAjukDB8AoX Oaz9NbBihwS89Bfp8LvNRV4tDhWOphKwgKMn9zSai7J0/AMq90uAkU6gv9dH LlJlffubfFwCAmMVbb7McNGU8YEWxwAJ2L7hw8BNn36UI3LhVeVXCVDQ1y1U P8ZDLO/rvMIKCbjEarxxx5WH5AcfbEitkoD6h0GNVV485N2QUny7QQIyQnMW iIXzkGESq9WAIwHktNIp9RIeqjY9JJcjIgndojLfxpSo/XLRqSMvxCXBp3bu uWB1Ptq44XJCqJQkBF41HRJZy0fRyuHrXeQl4enLE16vjPjoKK9ir4amJPTo +F24cY6PBoK3BUXtkATFnOG3Oe+o/bSQ+a9AU0k4Und5yqOIjywvH2F67JWE HZbJoYpf+ei9vddLCxtJsDzQelOkkY/81uQUiZ2UBMEH5KXvBB9lvCyZN3FG Ejrkn3vsoxHUKV+9h+1C3S9yxnquKEHGgqS51EMS6AeiFzMVCJKs1vznEyAJ Jf82LK3QIQiMN4HzHUn4nP4oJl2PIPc8o8BDwZLUevW278J2guriHRmbIiUh M4jBf25O0NMLMWsHEiTheVpKR9hpgn72Jl1pfSMJ/q922dx0JUjA9gP+kSoJ sU533awuEXTcsG73mxxJqEx/5vPsGkErGVJnHD9LwlBKo11JBEEL0vNTEr5K wpfk5lqtJwRN7DxJ2BWSIP6384RLHEHl3oUXXesk4WfsltLbSQSlM8+8y2qU hOwHC/yPphMUmcGYGG2VhC7a5A7GW+r/up39vHslIX+89ItUAUGmvvLFmCsJ JpMXLh/4RNA6+VJhoQFJCAj9Luf9marXTOnO7b+S8KDhl6xNBdVf9tfwyPl0 aHF5GXC4iSD/3Zf+NEjQIWr+oO6NVoKce1UVF8rQ4aNvWb5/B0H/KV2JfaFI B/Ou4IULewlSy1nSyVKhg678svEsDkEie38t1VpCh/QPD8KW9lN63lBPylhB h8Irg0JPBggqUK7uH15Nh3lL/tTGDhH0Mtdn9aYNdBA46GJ3bYSgu+bL3a9u psMC+4gnemOUP321bwv06PA6Y//92nGCDvpfGxfYRgdrWuOa/38PBZWV/xka 0WF2+w3/RxMEabz/4x24iw4v438FFE9S/lvcxN9200H5jsvGr1MEjXK1aZIW dAh5tSEseZqg5luNhvus6fCnRzXq9AxBJYsCAsMP0SH4ymEToVmCkj6s/fbn CB3ka3QSrlAcur9FXOkYHezStN58pfgKL2jvkZN0cBJptRqj2D5wQ9jzs3TA Sxcmz1BsrNZe2+1Kh/x7rYmdFK/KvyuneZEOHnSDvfEUy1ptOnT2Ch2yPoU8 06d4kt8Zk+ZNh8BpvUdvqXo6g4LbBq/RofNop+48ir8u/m+xzi06VFQZBepQ 9Wd87Dl+5TYdoi9YXUNUf4+sQ1/n36fD93RN9WVU/74Den0zoXRoWi1wlUXp 5XSHvdIgkrq/2cjn5l+CzJaGu96KpsOjlntrpyi91xeirPJnlL8RoY/NRwlS PMAdEXtBh23Pdd9eGyZIcChy097XdMipexhwb5Ag9l2Dq2HJdHgF9dIXCUG5 OGpW/i0dJJsqbOv6qHwdNDKwfU+HvcwCtX1sKl/DA/6xH+mQEiGT9LqHIAuN naLqn+lgq7dWmt1GkO6nYbPTX+ng8vr6WFUzQaqHYx+kVNAhu8445VEDQSR4 THZ9HR0Or6U9zq0mqH9ApXhVIx2Ctkep7f1FUJ/FDlfNVjrY77dZU/6doG7m 468LWXTgttpxD5cS1PhM11dkjA6rav6BKDU/9QKOK4Qm6HCgcr/ta2q+fjve qZ+epuq9qam8LJmgUw/PRf2jSQFj5X9Pip8T5GhTOMwXlQL5XQ+UAu4TdDTI wqRfXArGrT1aNYMIcvjAiuNISoFyPs855QZBdkr0Pd0yUrC9+xjN+jJBB9rs ExsUpaAd5qevtydo90lBu1ItKXiaOc9NZTnlx+OI7E8rpWDRZEV+pRpBJl+X i2JtKRiZcd50XJGgnSss3n1YJwXM7txWbTGCDEi8dPp/UvB+YVrxfi4fbb5s +CXKRAo69Cx5nQl8tCmxXvmRmRTMDc76lxxDrd8NzhfC90hB9u+UPOuHfLR+ S4TqAwspaGTe8tt3jY+0Z3uu+h+SgmttBSotB/hoSWDgatczUiA62XjcSpiP 3Os2+Do6S0Fmlf9Nj388VLSs84eVixS0tF5W9eLz0JFSvTN67lKwKVRpVrue h6IFh17OvyoFtxrOXzVI4iEZb1vFl7elwM7cWnHxLh6iua2d05AoBb5ff08z 3fvRvqLW/T+SqPpRpmbhsX4UR78Xj1OkQMAiY7+JVT/amsZCrzKkoC54VYf0 5n50lfvk6oX3UrDRz+So/RQXDTnNHZAolwKbrJgbAte4qPNQU6NBrxRE+EF1 6YU+JK5v89qBIwWKzyvyXjv0IZ1FNRd8uVKw7GSVwrndfSio65t4HpGCO2J+ obHqfWi1c97WtX+l4MmNC98S/nCQt09U/KL50nDDNLXHZAMHMeJszkxpSYOb WP2J6PpetLOn5l+OizTMF5G3K6/uRj4rgr3Sz0vDiNaRpqK8bpTltnM60V0a +pJfLk2I70ZKMx8FYjykwW/ODo+17t2Iz3w174avNJR9z045LNWNwndeYewJ loZfO5sOi+3qQu3JymtZqdKwPvKA4c2UDnTF3ekUkycNjaylhr9vNKM9uU9M mB4yYPTl3aGkzHLEnzrjLTQmA6vZM2Ibb6bg53+uv3W5sADam/wXOY5U44lT +g6ekwvgYCivO31FBzbJ14JL0wvge6xY0HnjDvxEQl7VbXYBpLS+XaF6tAPr ZQ21nRKShdifmWJmkR3Yd/K1/QExWfh6fcf+mtkOLBQsY79JSRaehcw/evtX JxbP7rUb/U8WZHyT1DodurHtnN/6g3qyYBBjZLLPsxun2hQv5G2VhXRO+u6U 0G68ZyqmpdtAFh7qad1aVtyNQ4ws7GpNZGHT1ljlxYt7sGz9R9vsQ7LgNOJq v7q1By+cDj3sdlUWSr/dEJ0w6sU7O3d/eOQtC51ytF1Bdr34Ytl8uUJfWWhf NBo4ebEXfwu9Xi16UxZ4S4ejQ170Yg91t10v78qCtvBBdffZXly513zTnxhZ aCoIKpnMZOMb8ZIL9LEs2L4zN7ks2IdTA7+dP/ZJFk4ZzwRcYPTheueAn7dL ZKHxtkDcvuV9WHvTzO26MllwuGchlm3eh5u+8wTOV8qCVLPgbpFnfXjD6A9+ fIcszH2yZRFnHRezdtz9JiLMgM/W8RcHDPuxo6mD6rK5DEAysXXZlv24ZY+O xzYRBlzsGUiyOd6Pa63a1K6KMyBUXNQJbvbj4mPrPbmyDDh+cC6E43781K9J 4+cyBqj8PCSxaR0Py9/M8OnTYMDtZ8Pv/iEeDg+4VTNXiwEvCut/PtnNw3fu r/ZD2gzwmSLCvqd4+MqTm3UZGxkwPqs29D6Ghy3frbj1cAcDfj/etGNqhocr 8wSa0ncxwGWTNztNlI9NC3+v+WHKABGLXbLApPazn/2ahc0Z4GmlWD+9ko/X 1NSs9zjAgO9yMpk9B/hYnHh1HjjNAFaag4ZtEh8HDZlvvnSWAcyk7R8Gs/lY aGxZcOg5BuTFrFBwKuDjialfut/cGJC0nanQ84uP2aJLQ7dcZcCV00JTO4f5 uET9B1K5y4ANSYc7Hq0n2CS4zYR5nwGyqcIygf8RXDk6ZCX5gAG/1HJmbLYR 3Fqq4DwTxoAy05bBZ3sI/ut48nFrNANunAm+X3SSYN9vV1/UxTBgUzSH+/Ec wXPWBaf9fMYAgeyk2ugLBMsI5pQWxjNg9GeB9qQvwStjaYPPkhgAnrrndocT nDWXORWZwgDLzfMCrKII1nVZPu9BGgM+eE7MbH1GsLG++UK/LAbYuh+fyXlN cMXLY5qX3zJgZ3ea1/YUgi3FL693zWUAtv5inJVB8NGmp7vs8xiQWW2Ss/4D wWyDTEubjwwYDvc0///3SZekUvu9hQzYVfVX879PBHt7ci+hYgbkTmXf+FxO cKScbvyibwyIEl1/6Uwdwcp+ZqlyPxggPKAVGdBA8AuW/Xv6TwasZMo03Gwm OCMn4OdsFQPqz+l8UOskeNPC6IbxGipvcgL7irsJLvRP7Sa/GZAxXje7vZfg 7/trJ9oaKD0wPaqPS7BFfu+c+iYG9H0hvnQ+wfWLJ6UqWxhgYFzvzhgg2P6O pHJ5GwPctte4Tw0SzBpU0yjqYIB7iYhP6TDBzgd11r3vYsDjH4UPzo0SPFy0 Uz+jhwGbTx18Mz5G8FVN252JvQz47+Whcse/BAuEuO6P4zDgVrgjN+0fwQHj N4485jLA3nK1dPMEwRL2kadDeAyInvd0c98kweFf3lwMIpQ+TQkODVMEK2oX +F0bpPoVcQx6M03w84jKO1eGqfPV89IPzRCsOd0VcX6UAWa3uTX9FKcdH487 Nc6AB7f9xuxnCdb5IZri8I8BRN+S+Zbij+tV3h2YpOZZRX49h2KDJ2uLzacZ 8DzrkdksxV9pRhU7ZxlwPbjAkXpfxOZnDtSDIBParMIu/aS4rups12YhJiTl 6d0KpNhO14+/Zg4T1H0Ew9T+/z0zLuyf5jwmxJ/dHhND1XNG5JWw2nwmqDje fPmXqv87Lej+djEmWOd3Vy6heOX0aeYJCSasOat1R4vqN3jcNDaIzgQzr/NV 4pQeZHCVZrI0E454T73+Ruln3k/PrFjAhCx/ffpxSt8s1qDuAIMJwdo/RBoo /Rd01BTLyDPhWOSZyOWUPxebckx1FJnw5YBwnhXl3+/fj2ptlJlgGJJ2yY7y d2Olp91VFSYI1bz+DoSat1J9V7yYOr9qn3l0H8EH8aK/HUuZwCzZ7S/FJjjv g+B1YQ0mFB5aZ+fYQ7BP2uewXSuYoL9PVjSqjZrfxNdKzquYMB7+ptuHyiu8 uP0yeDUTSmOs3bZSeaY93p1bs54JNr38dItqgo+FrUZjOkw4NP3x9KufBJfe ky6X38yE0Yunen5/o/Jy/XeDnR4Tmh92rS8vJrjX653jta1MEDjXTr9bSPBO jyhuPDBhQoBRtDyPYLGzdtO9hpT+YJQ5Qc1niGWPqvtuJrBIvDM3huDBPWVv wvcyoRcv9Lv/iJqHXW/WvdvHBLky/TCxMIIZW88ZTlkxYWdsRs2TAIKjNUZP BhxhQoneKh8JF4In1f4MJDowYcd6390h1Hpkq/zB87sj1U/+YiviQPAiaZ+7 UieZ4JD+WdNgP8EvJ4TTo12Z8GF0pHDLRmq9GmVtKnBjwrXHxurPtQk+QcqL 2i5Q9bt9n9OlTvDy7nvVS68w4alth/kUk8pzhexY2jUm6FZulA8Y5eN3cUv1 S0Kp64+6j88k8/HSWUOvTw+ZsHduqmZ9PB+H2Dl9wBFMoJ4E/WFRfHxK8ZXO xygmXLz22SI1gI8VwzW0c54z4UBe9DMPez72DtRa9DqTCQvbVnUeE6PW7x4T u4RsJjRNPqg9JMDHVoZnn7zIYYLpiS2T60d5WFswRS7uAxPsquql77fycNvV VVJRn5gwK3j/eVM6Dxu4rBG8W8WEfsUVkSNmPJz2wxzdrmHCfjVf6i2Ch5VW uPkE/qbynEJvZK7n4ZHezH83G5jAvZmg8lmehxOOrh/y7mCCbxx7d1lnPxax 2tjlMkjlc3RiqYtbP/65Re+zhbQckC7W9SRPLr7z/tKk8QI5OJneeyvyNBfv 0Elfu4UhB5IHi+xPHeTiIu3Fz5YoyMGcmPrqgs1cnK0mcnlEVQ6OoDXn1o71 4cfzajUj18iBkcXXy7uc+/CxmrP3GvbKgeGaU6JZRhysap5QXLFPDoQu1j64 so6Dm3+0/v20Xw4E6CdENBZxqMfAPqckGzl4VVelrPeXjXd+2LTVy14OrHfl NO98w8basUIDyq5yUKynZDE9l43/nnmy3yFYDmpssk4fzmThB1dfzPMLkYO5 V8x9jkexsPqd5PynYXLQurh9peV1FrZ6k7+kKVIOxpIZP3rNWTirt2nYKlYO aOW1c7v4Pdj5uHK4aYYc/LAWf7NNvQe32z2t3VgtB4MbosVP3uzC5eaxVhJM eXBNTlhYMtmGHXX1Xr8OlweH4qzXyK0Kn+ZVjDZHygPsThTdvKoKn39ubygT JQ+HHZR8lDiV2G/+zQ7vp/LQ8uJt80uHShzT8FXJ4pU8CDc6b494+hPXedqE TL2TB7ndcpXWe79hkzx3z31N8vDRQfmDSswnvM9FuDygRR5KBHO85aU+4QOL I5kf2+Rh96zphembRfjknQ/Z6t3y8Hyh7y65P4XYnwrdZL88LMDtUY8u5OHC ifuOr2bk4bG12PrOV5n4c9qizCYBBUgSOxvVfC8D/3DMnJUSUgC/iNsJt3rS cNO32hiveQqwpmmVXoZ3Ev4brfTHXEoBUstOXHj05jme3ZO6LEBGAS5dTjix nPMMzxVCF/NlFcDY7uemGd9oLHvWUVpdQQEakb6VWVIoVlo0Yn9YSQGuHGR/ i/O7gxfX3EoLWagAZenPnwYlXcdagXLTnxcpgKGh5s+cJDe8dssb00k1BZha c/9nl05o4f8A5CtAfg== "]]]}], "}"}], "]"}]}], "}"}], ",", "\"\\""}], "]"}], ",", RowBox[{ StyleBox["Annotation", FrontFaceColor->RGBColor[ Rational[2, 3], 0, 0], BackFaceColor->RGBColor[ Rational[2, 3], 0, 0], FontWeight->Bold, FontColor->RGBColor[ Rational[2, 3], 0, 0], $CellContext`LineColor -> RGBColor[ Rational[2, 3], 0, 0], $CellContext`GraphicsColor -> RGBColor[ Rational[2, 3], 0, 0]], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.560181, 0.691569, 0.194885]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "1.6`", "]"}]}], "]"}], ",", RowBox[{ StyleBox["Line", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "1.2822827157509358`*^-7", ",", "3.8468481472527124`*^-7"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "909", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJwVWnk4VV8XNlyza7i411DGSsmQqFS0dioU0YgyJqmfFJWhIkoZkoRQNJCh NJApRLUrFEJC5nme7j2ZZ77z/XWf97n7rL3W+77r7LPOcxQcXI+c4WBjY7vP ycb2/9+1Q192yj60gxPOXjym6V4wn6Hh2BTpCor6WZ5s6UHQJ35uNjfSD9I2 cIz4pj2CZoM731MiH4DS6cdKtW9fwV+7SOVnkfHQudq463BKHhxxkWp+HPke XJPspS7e+wkR49bZMZEYcjJOrjxc0wD3JeJ0v1K/gr1ibODmOw1Qkxkgt+XI V1CYOHQnqqcBrIat+2RbvpL5JFLjXzTCRSuBS+Oj3yA8XSM5W7oZovTOBceK FMOWx3oXeNjaoINdMW/AohT++lgUXDLqgjXPqXHWT0shwzJFI+JKF5zbMefz p7MUOG8cyL/9vAvGL1frF/5XBowLdfs7J7qA0utbFeZdDvJDe66cf9oNKj9a +rbEV4DScs7j8709sLPkAL/+lWrwkg7ZuvNgP4jUvfy97WE1oIJWm9uu/dDb zRGtll0NNa0RKrER/RDGVignNVENg3bR/qp/+6F758Yt/y7/gYY2+ZGhEwMQ nCVg//xyDbgW2VL9TgyCzbeza6Mia0A5ecs736uDsLm6aPhuVg10nla2M3w0 CK1Mbw+P8RowN7nO3Fw3CBobRkNMLtdCyQti53njIaiPr/gwf6kOvrbtwes0 huFt+nrvfxF1EI0FDj0+MAw3P99B/Zl1MBZf2151Zhg2tOj++jNWBwJzsRwh T4bBh57WmXrpL3gez/6rSRkBpfv3BSwu1UMK/4YF8fIRmH0yVG0SUQ/sa4+N FXSNQMWbfTH6mfVgbVB4VHFuBDxLl+TVx+qBryL9nrbyKJRzXtzKdakBei00 VE/dHAW366anst0a4Z7YtjUZ65hw4KJuKm94I+w63ew6sZ0JSg4qhM37RgiK 9Xs/Y8KE+v3cN3hZjRAlu/us/mUm6El9eWxzvgk0WhNsWj8ygU5915EV0gTs /c+GFX8x4R9b3DreN00g6X9+84ZWJiQPeuRkDTZBXd0qe/clJvDnq1XzODXD 7FDFYXY9FvS+lWHYBDSDEMX7924TFnyJ57PNSm6Gk0uuY8iKBZeC+kase5pB tuXYi+tXWdBo/owny74FUucFDjS+Z0HWgXumPDdb4Nl9KT/+zyy4t+tatHV8 C1jJKp6ZL2PBrnXHlXjaWyB4WPQvrYcFKVOCYG3VCvd3HjqpRCPAd2g+IPN6 K7AmNTeg1QRYtg1WcMe1gmDF7Sap9QQIlhSfzGxshesV525x6hHQn5/1gnu2 FcakO4zFDAnA7xIGrRht8HVz6LOOQwRcjvLx5DZvg+bScP+00wSYBDt/tvJo A9dyC2a6CwHrfCwpmVFt4D6hHebiQUDTae1Iq9o24FCxVF4VSADSGk3LONQO x+Jtfh1IJkBauXmSy60dYmLHpze+JWBCunSn1YN28BH786c0k4CXHMllXFXt EF7Cst7yhYCb0xEiVsx2kJ60H6cUE3By2M8iQ7ADKkv92cPLCKDWWPWdNO6A 6EdRNo21ZD0l+1UznDvgoqh5VHQjAV8/brvCFdIBtfbOkkJtBMSlrS04+boD 3KJVO3d3EeD+Qow9o7QDHnCFdm/qI8A0mt2Ia7ADXp4SZLQMEhBV7GWYxtkJ ST9KPNAomc8X1rCFWCcsVjnO2BMEXMg/E8ah1Ak+iSrRuuMEqO8/LM+u3Qmz 1vNGvFME/GvSzVrZ2wlnjtu2+88QkOW8fu/y8U4w+CJg9m6O3H9BrH7RqROK vgdE31kgYGvoytkFr06Ij1qdJrBEwMyqkbm54E6QvDoesXuZgPy0+nuzsZ3w qXIMrVsh4Pqu76tn3nSCrnRD3kcS6/5Oez9V2AnrBVWnFki8ZBe7e7KiE175 Gc2OkvjLvzu1422dsObmkW+hJL55y+3MGKsThgx3HW4h4+vTrGeIlU7I1at6 3Ujuz5lkeJcl0gXG/yIr7ywSUKylJcNU6IJu4RHcMU9AYLFs2sjmLkg8wxkw NEuA0XF+GN7TBbxl9QqJ0wTw9U9VDx7rgj1i6k/5Jgko9+xyGDjTBf4iCfNy YwSE8lRO9nl2wU7XiL19TJL/x/mBvUFd4JKm7X9imACRDcmSPY+7oIQz5JNP PwEPD3jrdhZ0gcy0mVk1qeexFqeq9l9doPmn+DNbEwF0lyP2ba1d8IV/8lgn 6Ye4+xvuNC+T+Stbb04rJcBaVoLeJNwNg20c0XHfCVj9ni21Qb4bBI7AiW2f CEiobvhVp98NFhoKRn7pBDicKrKpPdoNNN/YaJVXBCiNpxN/HLtBdMkkJCCe 9KtYoNjvwG4wF6zOO/CAgHPJl1IqH3VDF7VG6gPpf5UtNtsqUrvh1ccrHr9v EJBmrm1VVt4NZT257uLnCbg4IMf82dINPPU9hnCKgE1XBfx+jHZDVNePK9IW BOTEdicWCfUA94yXXvduAgpaw4c/H+kBSXP5JwViBPhc8PH5dLoHWlqFNM/z EKC3fFao0L0HgrrzOCvnWfBVDjbnx/SAtKdsZ3InC346MK9lNffA6r+Syq9T WVA3uJ/vlUMvGKi0c69RYQERu37f7cu9IDy++Ze8NAv4jXlu2fn3QpPrPo4W PhagtOJZRmIv+LjJnggeZMLbSzAY3NUL/Nv4PpcnMsF/Xvuns30fSDeZ1osI MOHZWzFOQ7c+eFJxr3t6ehTyrcd3Kd3sg4XNqO9p9ygwv7zPbYnvg3K2R/4b Po6C5W2VlyYdffDrve/GA6dHQUNQPkDdth/2nF++Uvt2BA58Xv7Kf7Efmrdw a/5+OAKOF9sW+2/0g8+Wj1P3vUcgrjrOPf5ZP7A7r7tw/MAIcEdLOIq0kefk mvs0Wt8wtK4W2DNuNQBP9XXbrggPQ4jGNFsueU6uUlGSu7V9EK577d/Y7zwI 2htCEzIYg/Affnqc7jMINXfXPXwxNQBGZnveeD4fhKBDZuplGQPA4xp+dFvP IMze0BLZvmYA7qSrvMx3GYI/U0VrR1f6wFfNzrjQb5i8zx6v23O/By5tLI3+ mjIKX7/N/TFUa4XeM703E3JHYTEw+IxuTQuYJ7C53Pw5CirG8pYjni2wQ2K7 PhoaBe/PwPTGzcCx8pqFVZlwIkGb7dbBJoisuWeIs8lzbIS6rt+mHrKumc19 /sYCxk7Dn9Hm1TB/+nx628V/wGWdxejtTweHz+aHwp3GIdnV8omkay3enCtJ k3Idh3PfBD5GVtdijvfNtS+8xoGT3VK6WbMOJybYWmQHj0NG3lBRxUQd7r7t ZFv/ZhxsovKj13nUY4cDni6riHE4u1Qk+9elCTs0RAenek2Aevdbv4ANHXhz tcUBzZsT0KvdXlft34E5yqQEC4InwOJsy/VfLR04seDZg1+xE7Dh+onoMwad uPtZSgyrcAKOSm/LvDDViR0cPyRrs03Cj+9PFXYZd+PTY3VfvwZPwthv1YmR ml5sfz3cIj98EpJLL96Xn+nF1pwmrPePJ6E1LM12nUwfNpcokolPnYS4v8uO yQ592Gh7pueN0klIN1U8dIrow+q37qvu4J0CWpC1T9xKP1bh31+kKTIFCkJN 3z/LD2Dlh5STGySnoMtvwCVt9wCWT/EOklw/BWI7NX788x/AYmX/dU8bTkFq JT1hhWMQz4oYPM4OmgKfZxYCbHODeDKWXePtgyl4xtsvWUofwmOKn0sSH03B vpNZGyy1h/CwtvZExKspuKWUcPD3xSHcZqlo6vZzCjr5UgJpXUP4e8IypxrP NGScD4v/UDCMQzflub4MnIZjdtZO1WgUl29u6PcIm4bvh+m82eajmHfLjM2+ mGko2WTUY+kyiu9s32bSmzINUy1docyYUeytn7desWQarujs+rhlaBQ7H8vr esY5Ay2GBvdk/Jk41bzB8oLADARumVFYHcXE/ZYzv3XFZqDxp+P+jhQmPmWz 7UuL4gzc3PEqK7mUiS2d8uKk9Gcg4CNvv4YACxtezTsafXMGdMZbD264w8J3 rjeUOwbPgKdSnL5SJAt/95nZrR0+A3muxq9a4ll4161tm2rjZ+DEfkfjoAIW 3hqSJyiKZ2CoaPfQj1EWdg9tuN35YwZ+ND7ZmznLwllhM/Pvq2Yg+NCc1gkK gdUebhsybZ8BJ3+z813SBF7zNK8kdGkGBFsSkqr3EtjheYOuNdcseNOcOVJM CZyQMJO9kToLSKlLd6slgVelbEssX0X+f8p8IsyZwCdfWUjFrZmF1pEFQ/Mr BH782iv8P9VZ+G3zfEOzN4HF0vN8eXVnoe+brTEjlMCHMhqmGvbMwlH91+eq HxI4LGvG5ZXxLDwRPVC57wmB+fO2WRlYzQKX+Rq1M68JbPTRokbi9CyUbBHn F84gcGCh1/4+51mIuv5zzD2XwBxf87bduT4L562V37p/J/AbKu3lkv8sRLfY yAaUEviIlYu4171Z4IxZf3RfFYHnU3/4/3s4Cz+TOHZ+qCVw0rT82H9PZ8Gl SbO0rpHAJnu97XqSZyFl+AczqY3AkxF/K63TZoEZ8ixesZvAe9VC3ph9mYXg BQ9v9WECj17vlSz7MQsZO5UjCpkEjirdFaT/exbaV1/jn/1HYF167FRhwywY zEJHzwSB+05PnN7SOQulBTK8ftNk/ZkHa9IHyXjsV33LZgm8deUVWj82C2Fr Q3WL5gncbsLx/sXcLNgbW+m5LJL1x1mvluGYg1jXHJ/iJQKrD+bei+KfA99L m2d+LRO4fovoPFVsDiJldN/4rxDY9/b5c0Eyc6CoQokaJLHyn5J6tjVz8Nfs bvYSiatl5fddV50DbZ0Y3u8kvupyPXtCew42BX97uIXE8gV1Chf05uB16wVz SzJ+KY9GeP++ORj+UXZEhdzf7fjdZTvTOVD5+fve2wUCSyb1uDSZzwHXPgOu 1jkCf/2n13LEbg5mAnBR4QyB/9v1eH/F2TmoeBFbcWCKwLTQ8bx9bnMg47G8 9u44gQuaTNbhq3OQHtFT70mQflR+FaVzaw6mVPkHxEZJf3iwc2bdnYNLgiu2 9oMEzvpudWljJHm9m7SRdS/pR5HcjuS4Ofgz7/eOp5P0h62IqWzSHBQ+ln3k 0ELgt2+dPz16OwfvT2eIXagn8LG5YhXRnDmIDihQV/5D4EUDudiQT3PwW/L+ VPgv0g/dtR43KufAtecbvoJJP2io907/nYPzZR+7RvMJ/PRG8BG39jnI3JQy KpFFYKaknsZpguRjlxbn1SRSX7OXg0ai81CoYWPk60/q+4zN4rvUPKjzxH67 eo3Ud/hkyU7Fedi2bbFIyY3AGoHCiepa8/BOEYruWZP6fLpqJX58HqQoaW4v NUl9+GvL7tvMg6rKk3HldaQ+lmo6PE7zENXLV32S7Ge3iS7xec95MD9rI/GX ncCiKsZVHY/n4bpco65cJQv388SLlibMAzeO3i7/lYUL+saPZaTOw3+7jJ+3 ZbGw44u4lpv587D7apl42CMWzpccHlRonIe5jan8ZTYsbMtzl9ORsQC3s5Jf FLUxsVZfq4GJ3AKU31Hjj6tgYt6iTSHaygsQy78wpl7IxFm+jSJc2xZAMEu6 KeoRE3NNK8u+NF8Atc4iy+MHmfhd7w+dwegFEP0hfa/y3Si+9V3ap/rZAkRf MaTFPxrF5gkXcX7KAvCeG8Ca/qOYzZpucPfDAjgNuhk/Ie/fR2vPHFX5uwBv vPa43FkcwfPfKBddxBfh1Xh/Q7PuCDaK10/6F7kImnZx38QihnBQaXWb/5NF OK/83pzr8hD+MWYrKZG8CPxvH2p9ODKE9+31vr/9wyJ4ck/yHhYbwvpD2V7+ DYtw0e6fkn/EINbVWmsivmoJbLOCjcTJ82zTT56pbSlLEHiDetd5ax92/Ret UZ62BI9cxqSqhPtwutQaZ+vcJVB5I7JvYbAXq7mgjps/l+C2btJCdlwvVhG9 VlY2tAROk3843yz04DVWw8+s1JchfCCBjzOnGzOICgO/vGUwaEqNsmDvxI8j 8KkhvAzqd8zKGW87sKR2ls/R0mUotbF8pHmUxNceZSk3LcNoro+CT2I7luZ0 kK2eX4YzcqliAXptWJYxMyW/awXUAm4XbnBqxutAIeV78Qr8bf+WtBBUh+N+ FrBz/seGKs/07+e//RXrrt69Iu/Ijk5ICjb361aBkXXdZYdz7GjTgk20Hudv OPbkbH+SCztSE2Ad21f2G85LhVWu82BHlQel2Ta9qYY4iZYnqoHs6O2lr8H7 tGpgluqho5PKjgL7S97d0v0LOcupl8xG2dGUx4lHAWta4Kuebl/4P3ZUfPdt RRc511f4/LasmWRH9uoa0zOtLdAzPwXHl9hRJ7ujj2lUK9Bm9IWshDjQ6ruf WkJW2sCNaH3jtIkDPfnjWFx4uhM2dor03nDnQLenTav9BHrAdED+u+dVDiS3 /+mLfM0ecGNtSnD14UAO8vdbf1j0QM7iIetTdzgQbWpOzyGpB3SlIur2RnEg 4fBTIfd0esHkiGiJQA4H0hRqdLI/2QcuxaIvYyc4EKHwcM3QtQEI+6VwJ3KG A+nYJKhoxQ1ARo2mw70FDuTy1bfGqGAAJjsPy97g5ES2R0+P/J0bAJ+liBh7 MU70xPe/aFfPQQjdSgtS1uJE63ZMshzPDEFaKu3ch8uc6OIaLrFIyRG48xfv 5vTiROeOmjQMao2ANccFmcPenCjNvPrzrOkI8Fv/rBq9zYkO2Rg16t8ZASdh ny1rojnRN+XPBVdHRkDes4/jYR4n2ibywEbz3SjMJEa2dhZyIq1ny7Xz30eh 6jfkqn/lRDfiBGyuNY3CjQ1x/5WXcqIdalafo7iY0NxqWs3ezIn6k4/47jrJ hKg9+c/cFjmR9RrOUvUpJpx3O+P1hY2CaKXPEjR4WKD/jHZYkIuCckf1oFuS BWPTLpRUKgXN9xF0650sMH2jcL5DloKk20IsnvmwYG1D1V41JQqq0NnsrxzK gkVOH1lvZQpqOn1N0uEJC97a1P+hb6Kg5mau4YF8FvCK3tMx3U1ByNB9SfMf Czr0dGhP91EQ76kqq51LLMh17hsZ2k9BSwNaKxN8BJwphviAIxS0eY9jxGVF cv4fG71aa05BqfftkI46AeKycUcUrChoueFnzrvtBHz3muT6fJqCRJuOe70w IyA2+UUH/zkKSm42ClU4SYDbH9OPli4UlM+9d9LMkQC5ja9dJt0piLksfCzP i5w3221qNwaS8TfXJqTFETBpqPfsTAgFMRzdj15LJMAlc9XZ+DAK8u0Yip56 TYDVnZZ52iOSr9ghv5U8AmqYBcUmTygoUF6Lcv8LAQcs4sIC4ymosun3n/Ji AnaonFCcf0VBDirSAhbVBGQ91BnVekdBp06Unkj5S87TS4zcCxkUxK/1Ky+p mYBEpxm/VzkUNPvoseSRDgKkq+v3d+VTkMU+V7eMHgIit+eKyXwm442b53wZ IIA/Kbrt2DcKmjov3+wzQoC/oMersBIKkkk/0zjMImDO49il0jIKSlu4+5J3 nOSjQ2snRxUFjUx81K2fJGDQSIxLt4aC1F6OPDw6Q4B91niVRz0FBSS1p9yc I6BRpubx+2YKuia06oLNAgGHAjIdhtpJPlOne4cWCShlhasq9VBQa3sI37pl ApCl27T1AAVtqPnSILpCQP43s68xIxRka69/MI3EmzZqhFQTFOS94cG5WRKn Rgkd45+koCcPB9dPkFh+mbl67ywFVVVYhT0j8aOzlQM3FiloshzHzpDxhf68 y8xj40JJ+z+YsJM4cEeo9xiFC4n9ePm6gMxnOen8vo18XIj/Wmm2EpmvJ9VY +AyVC/02lXTVJetheao0PRflQiptNp0Usl6nTr6kRgkuZGWhQr1B8tG+f8iF Js2FlG82LiSPEWCeXbrVRJYLtceGZvuQfFatSmULVORCF45p61JIvg0Cg8rx Oi509WPg852kHltOGNhqaXChit4pekE7Ae++r11/QYsLiWRc1Gcn9V2jyjX+ chsXWj2///JsHennlaIAacSF1qr502bKCAg9l2R2bC8Xyqy99Xy5iABKjb9U mBEXKlXf4JT7mfRn8u409sNc6Hv9ocGtGaQ/hRS8dh7nQoF7cotXUgno9WLb 7XGCC103uy9/7QUBtQdw3eApLgTFROKNCNKfOc+fKzpxIW+bZ2O8d8n+We17 ztqZCy1EsInsu0n685/u4u/LXOjPfL549QXSnydX/eDz4kKFSmc3yJH9k1i0 8GCPNxd6b+3jLEf2V2RMgVLebS60aUSkQWsfAZd0dYyfR3GhqhsB+98zCGC7 GOX34DG5PmNnho0gAWHx/7JvPuVCh9126payEfCG4/Wq08lcyGmZtaFmkAXd pVIs5RwuFDl6at+nDyxwm/dQlMrnQuGW4YWmqSxY3lhjzv+JC308laP5PI4F Mg9C8GgRF/psLRPj7suCY8cXwjNruZDzdo7XHHvIeIEWJYkNXOhes9edm1pk vPzsuYctXOhRwXq7T0osCJVxcfDs4UKi+vFPL3KyoKSrVWvnBBdKX8su/w0z YevFL/XFNG6keafABlSZUBwvLZBL50aH6g6Fpksy4cgfT3glzY3SO3TWtFOY cFFbI/WuIjeaffJFz691FF7Nx18z3cyNRI7KT1cGj4Jk0K1VjYe5kZ5TruaP vyMwH7/XYSScG1V/otFu6w/Drhm9SM1obmR0jv+H6NphuGW67btXLDda0fI1 s+EZBt6lDYqURG50yb9EXPXXEEicFO5elc2NpH+9GckwG4JN4s2nTP9yowGp U/zPTQbhTLDrqUwpHiTa/yL4hGQ/pHaci5hZzYM6RO4eV5rog9GtDt/0FHnQ B82WLzmVfXC575hCuQoPqueeGdDw74Ob+ju6unfyoDXJv3dGDvZC3CLllLgt D2LjLhi3edsD1W5x9l6JPOi4BXVPn0AXqISLLLi/5EG3LRW0jXs64fb7wOjL b3iQMd306L2CTtjKulx+IYsH9Z04ePfJuU54dt5Y2/E7D+ItVvwpENgBzk6L PIe7eVB1flzaq+5WoFjbvldR5EWr7TPyOl0aYLuh4nLbC170du2hRK+un1C2 b3sqesqH3pd2h72t/IGv/vRV90vgQ4JnBnZwxfzE6/cX53xO5kPNpYXKSral ONDE7NuOND50IudTYxKzDO89eqZZ+wsfuna77OAtvkr81T5CcEMnH5LKe7nz euwfnOc95Ca6hh85DF/hfhjfgJ2W1GfM1vOj0JlqGfnlBkz3c78RpsqPqrcb OrtZN2J3/5W7Alv40X53rxlzySa8+a5EEpcBPyrXPdOocL8Zp8fs/jt3lh8R 3K/Yu/5rwymZsdu73/Ij73eV6u3uXdh5wUql8T0/+vVmziDhaRfetE9Wpiqb H61ESgXsLO7CnxoTFz8W8qM2LERfpHXj2pW3OOIXP2p/8Ff0aXo3Zjf9sm/3 CD86z7ZSJdjeg22Guw8nqAigR5E2T11l+rGidop+jLoAAsd3q3L0+vHgjbNa oZsFkPRySuhPu37sLjoqfnWHABJ4Zy58Mqkf39OZajA7IIBe7v59a+36Afwx kMd25T8B9PCOZhx9/SCWUFJ1tn0tgBIXirffWBnC4ZH3zF+nCaBDMYc0HVcP Y36OEf3JTAE0zRC7wbNzGLN1vZYJKRBAfuc/tt/yGMajz5UrP/wSQDPjKQ/0 BoZxsbTSJipLAD2N2Lg64vMIhhD/VZbjAkjG71u7dMMILpjr4k2aFkC0/HFv 638jOKMxoUtnRQCZ3pXay604ip/GyD50FBFETdZGosxbo9idJj1duFkQGRTy 7arRYmLi1rVu7m2CKNXj3ZtPRkzsPNZYdXinIDqbyNhiZcPE9tWPXg3sEUTd MUersgOY2CRM4oTYcUGUYjnjXFnDxD+X3PfZnhBEZTS61NE+Jta/UKf52kYQ 6WVuN7s3w8Q6Jg/5wUkQcdz1e0STYWElftFPzl6CaOFVdryXLQs/v+aW+sFb EFHN1cJDL7Kw5NDvKLabgqhgv0TKEV8WFioNuxATLIj2nLsRO/aUhecDBOW+ xwoiGfU0J896FvaYOi9AfS6ITrZyaoj0svA/x18zFomCyMxt38iJMXJ+3BNS zXwjiF4HP8td5CdwDTuvv9QnQaTv8IHHZweBWWmxtoe+CiLz8NXFtvsIzHdy 486gYkF0wvWn04QZgVGW6eRkhSBaaiKmNB0JbG3bWb3xD8nX5/b3LRcI7MV/ Oc3hryCKuPlveKsXgdMdop2q2wRR/YbSIPa7BC4XUt7D0y2IfhXIfnaLIHBf Qb7crn5BJEd8lI6IJfAqsdbGtyxB1Lrx2HJvKoF18IUP3eOCaE5ewFYyg5z3 z69ESM0IIr9xz9jFXALfK1I0Dloh6+c+addQROCXrjnKXzipKMctt6yyjMDf ZQwoUzxUNGIZ+dv9Nzmv/2zo3ChIRQ1ffjtU1BF4/sp/nx1EqGitMMOzronA dPmF2FhxKjq+t2ExtJ3AmhWhntWSVLSZ22BkqpvA59ZkaOxSoCKuzoHaxmEC 36neLeixlopWvz5XcIRF4Hif2sG3G6jocKRWl88YgQvWnynpVqOiSJ1TyGKS wPV10y+kNlNRwrU/1V3TBB6/Gex7aCsVtQRsDF01R2CqmrRV0A4qYvxrc+FZ IPD6prfbvuyiorBC2YuJiwTeG6AnPqVPRb/PjtxjLhHYXvP3v42GVPRtnrdo cJnA3m32lQ7GVJTPSxGNWiFwzN3x17FmVBRRsMmdIHHWljuB1UepqOfPm5F5 Eld1SZzmsaQi7bfHvXJJPHT/FeyypiL9Xa0MRRJTdmxf5WFPRVarMqv0yPjy /eWzbx2pqNBF6Dkfub9upPXf7nNUtNw/FRxA5muxi5UpdYGKXvza9DCTrOfy sF/YoUtUFNBs9u3+DIHDYkTPB3lQ0UPDt5LSUwR+o59k+OUayXeaQ7z5OIFL WNprpm6Q8ZesrfcQBO6M+8Gm6k9Ff9yMLDpH/v9+x7LNIZCKoi7FPVYbJLDk xNDH2BBSz+AHGzb2Elgr3jumOoyKNhpsFG/qILCpMfUKz0Mqalunc3pbC4Gd Z56b7XpERZzehooG9QQOTNqk6vGEihKNMm24/hD4hdl33nfxVPRDNUrR4xeB G1/1fZNKpaLcJrlbTv9/f3TU6/mhd1R0Nr5PZzCfwMJsfN5BGVS0XcU2VzqL wAaWqtpT+VR0U0/JMDKJwB94r7ysLqOiob5jFZX+BO73ucX8UklFu7PKgtyv k/mPPdBO+0NFbIVjbfWXCOzT9O773SYq8s36k1JlR+r9pr9df4iK5Lx86kJ1 COwpO7VWk0lFKr/XRNLUCZwayXlBboyKNKY9w48pEVjAW35hYZaKkBNvGpVK 9rfxScYHXiG040wIw6KNhSlfz9kmCQohtUql4G/VLLxV2yslQkQIiZevpwwV sXDcqiiti5JCKDPvbZjraxY+xaw0U14vhPYWlcraXiLvJ2G7g2MNhdBvX4mw 1kkmVuQ89DvIWAjJHUjlXtfLxMe8bOmeZkJo52Mcql7LxPl23slHLISQyBHf 4zcymNhv04evAmeF0GknPgr9HBML1ayfuxEohAS/7Joy/zWKkcE25BIihHga InFS7ii+XLAv6GSYENr1MXhd1otRXJ/oILEtRgiNuw3cFPcaxc+uPNX8lyKE ho7+8p+UHcWqEiLODiVCSCyRYmJyegSLvS98l1ImhAwyrmflGI3geaOzxGCl EGL7JX6qQW0El/p8cXetJ+NfWHxtMjOMHXtd/HwGhJCh/bbHy4HD+Fl2WVQM nzBKmGp5gGOHsNCR27j8oDBaCpqn1ocN4KkRdQ6hI8Lolo75LSmXAdwa0Lz3 sLkwuvNqRVph/wB+81GzvMFWGLXs2qPsyzGADRQ663pdhdGOrD9h1y73Y99/ usPLEcJIbmdg8w/DPkyETYtr1QujDKmLcQ7l3Xj0n+x3tWZhNPm2jPYqqRsP HzF0Xd8ujC66mPB/9+nGvfTHZav7hdGPurA/PurduPn5dl/eaWEkfczmkHB4 F3aw+DLB4hdBpzJF3k0Zd+KDZ9ltilVEUMfRpzX3jrRgpaAgDVdnEaSQ+OLH u9XVuPtkS7P+gAhyzhS67HPmEwjqWbyyHyKx4Z4LGnOfYYtc7RXfERFUsvpr T0wohuCecsECQgRpiA9lbD/xDTRcCnZpzoqg5113/875FIPPjdhEOT5RtOxh 9J9pQTlIJFg4L6qIouzVxPsDfrWwy792q7SaKLqwN1Z+sqMWzjmacepoiKJ5 R3Hf86gOPq03fHpFSxQdiK3Q+sr2Fxwyt1YN7xRFzzJpEgO+9ZD+XWJzk4ko WlU7/cvSrQmM+mrnPlwURU7NqyysFTrgxsYw7/duoqjZUPc+v3sHZF0yWkq9 LIoMPZg/rvzoAJnlT2xPPUWRmrvp9h1bOoFFf8nj7yuKDiUIBd5v6IQoo6sS pmGiqGmgRVVTohs6367S7E8TRaOet3fTLveCxHh9Vsd7UXTl1c10t5heOKAT od2UKYpiPAYnXhT0QnYxl07FB1E0I1pf7s3RB4FtrF1Zn0XRxNHNYpTwPlAV /mbiW0nm65WUrpTYD1cvnzlHZ4oijQqJf7EJgxBszDq7gxBFCRyl/wy/DcKj NV5nbcdE0ViKjFJu1yDk1gc7vZwSRSa5/6r+KAzBxI53jluXRdE/0XeGS8+H 4CLnhL25MA19uMPi6wgdhhut3vbXRWlIUt7hjPPrYQj9QLF/LkZDzt3GvJkl w/D2LN2un0FDiuQY6bo0DIO/ttt4ytPQrvGBqZT/RuB01M0TMZo0NK317neR 9ihcvsB3okCLhl53tnP0mIyCv0GkZfsWGpJ1tNj70XEUEmaTLNbtoCFlbfGl uw9Hod365/FcfXI/s/nCD8xRYG45dLx5Lw3ZTVytCeRkwqJQ07FlAxp6LOcj T5Vigsy34aMGxjTkzt8foLOHCZZrhY7UH6Whp3IhUZQoJpxbjjk8f5yGZozV bl57xQSvBrnDspY0tPPMt8UXBUyIuat5yMmahi4FL/YIdjKhlnnMdNqRho5s +629T5kFprlPDtA9aSg1aOWL5CsWnJtwWJG4SuZ7yn3vpxwW3N6kkiNxnYbU KHE/pb+zIP9N/moJXxraVnfajLeVBYrxf/+JBZJYYmx3Ijm/6rY+TRELpqHC 9Pf3pSUJsJByPCkWQkOzRRUzJkrk/P5wvIgWRkOusYyiDh0CpoOEH4nG0NCv NMbTAnsCRErqjUUf09C3+le67M4EbOR4ziYaR0OjHwL2sF8hwN5H1VnkOQ3N CXRpqd0h4PrHCVmRBBrK5/45bRlKQPR0Qa1wIg2tp1fU6EURUO62X0/4JQ2t VWp9sDmJnP/TRMaFUmlI1f6Amf4bAlaGG14KvaEhK5/nvfyZBGifcRIRSqeh e7LPjv34TIBpoloJNYOGtC3f0D4WEfBfx+Q1ahYNpUievuBYRsDzE7d7BHPJ /cNv/uitJSA/5sBjwXwakvYwTvvYSEBtrehBwQIaKr8Yxm7YRgBLpIld8BPJ /x2hj6FdBPCaJuQKfKEh7zTN8pA+AhTvnT0v8JWsd3B54+4hAvRK1eUFvtPQ oUOy9e9HCbDkmq7jL6YhwY1NX+sJAi7rf77L/4OGklak+j6Mk/z63dnFX0pD cUkuugenCHj1yXiCr5yGVvYvf306Q8D3OVoqXwUNeYY/u5A8R0Dr1mZrvioa Ggkp0HNcIPW48kKUr5qG/lY6qbUuEiCaee4Hbw0N8Xod3y64TIAqS8Obt46G 5La02E6S2GDjjAZvPQ3dOMh6Qj5vgf25L708jTTUm7CO+P/3R94pAbE8zaRf 0z9bLJE4ptvElKeVhtRjwv6WkDhDTpyTp52GvjDo/xmQuNy6JY+7k4ZYkZfF /Mj4fbGJLtzdNGRJcax3XSKAreE/Be5e0q/sJjmSZH7S4pr1XP00pJOjlnFt ntTv8GwI1yDJV01aZeQsAWZhGLiGyf6IoYk6ThPg/CtwkjJK8p+/x485QcAd XtPXFBbZv9blqzXGSD33SdhS/tHQIPXP+HoWAR/9W2mUcVK/t0pcLcOkfovO PpzTJH8+HGznegg4YWm8YW6GhiR8pDwtOwgozt5Yz5qjoWHO1zRKCwGxzqMa zUs0lBmo0Rf6hwDKj4rW3ys0xDP7WMO5goCLCml3S9jFkGaWXRnHTwL2Nl7o yeASQwHFB6SdCgl4r2Ua/pJHDO2IvTO86QNZ7wN1vad8YijxmoFuXjoB//YR MUFUMeSQOvR0OoGAJ9luB2wlxJB+bcbybn8CuIUPzxxliCF+W4Xbw9cIcHPW TN4vJYa0VNbymV0i9VMYX9JeLYb+FTY6mtgRMB52JVNgLbne+XmQNNmfNsNH bdmVyf03H9mdokZA6T5tgZn1YiiYzerFqCIBzxYnHbtVxVCDRUJmJtn/Rs6e kh+1xdBUuDJmtLEgu8S8JH0rWZ/6h6Mh1SyQVdh2OVlHDN3XyLMoKGLBRMPM rwe6YujtOpvVR1+zSP6v+TntFUObJFzKnC+xgO/FCVVrAzEUnjyw8suBBe6L 25sOG4mhmemByJGjLNifPb9Zz0QMjeQ9MHPawoJJeZ9+sWNiSIEpVH5wigl2 PtYP+czFkNm2U0EpvUwob9BFKxZi6GnSx8xPtUyID1uKHbYSQ/8JrunckMmE A4u+B7+dFkP4759izv+Y8KLhVs7FK2Lo4iqna40Vo9BfsqkjzEMMcc+2mXvl joJqTgffey8xVGl9fUdl/CjkhuvZEd5iSG5mz8LzS6NQsX+Oz+2OGHpQ49DW KToKs4VudpeiyeuHHpmI7xuBXW/kQiIeiaFnO/hXI5URuP24KiczVgz9vZ7S vU54BIQ8VPnHn4mhNZ23T61rHAYl9cGcyy/FUP8tza5Jp2EwTbDjd88TQ698 0nKFrw5BVJjQlqiPYihGquaJ4IkhaPL5bJdTKIaWNa+Jl20fAscTMh8msRh6 fa10+db8IFyjNdh5lJL12W8LX7w6CMl3TD94NomhSC+4auM8APPn9OyvLYih s5bzEdoKfXCgUAV5LImhguE0M6ulXnhClZS/tCKG5h87RR9t6gXdrPGOc5zi qNLLdvZjeC/4LryysxQQR1TedpbTUg9whtHstsmIo6dvXL3uVnWDYPaAzdQO cVSzzktzz5FOWL0UYXXpujh6JH9T4Gz/X+g3vFfOS5FA/VKXeZ49eIsdjO3l 13JLoCLteHplfjpuM93iuZtXApUdihNv/JeB6453KFwXlEDSfZn126Ry8PfT WtdGxCXQ9gUFK++zBfiZX4ty1VoSy2uom3kX4WN5GwMeGkog6/wNbkTXb1y0 rgJk70mgy60JcbnVLfhAWMcB+n0JxB4h//XD2lZcPTV+XOiBBBK4/OeO1/VW 3F4s5bIcKYE2MLj4kFIbnnU4+7g9TgIF+NkNVF9qx6rxHGPP30gg957giA23 OnEMY3uiXLkEUjVvJdimu/EqP5M0RoUEenFJa3pRpgcn9dvlC1dJIH6K4OHf u3twxofAqpU/EujQ/byCqdAe/Oto3XxHkwQqET/lihR6MVu469GEIQn0yM1A Lmh3H3bmfUlR4KMjZSHZjkLbAfyLI/j+HgE6Gk8UWv381gBWXfqP7kSlo97L xoy9yQOYGFNb/1aUjnSOT7Q1DQ5g95YPxluk6UjaRV1JyXUQ30gvidy/kY6W 7xaLdLsO4fbUVzIuanQ0o7RQ1hA2hFHS3eQwDTpCR8cW76UNYY7HB3Nrteio IrM/Wn14CAfe+ttko0tHWw5GKRyzH8bhx/rkLx+ko8Lqw7s7YASPmf58HWVG R7R4mnLsyRF8ZP/rzXmH6ej2h44RQY8RLLHrwt7F43S0KkyIovB6BMcpT50N tKUjvZgLmyapozh5nvI+zpWOtFkdHULlo5hrqn/b50t0VH2g3NuocxQ7EaVf O67QUZFtlrDO9Cje0Btas+YqHVHXG4COAhOnV4pPp9+ko6rvpSW5V5g4L2GN XlEEHb2+l6bix8/Ca1b2en97SEdWOSYXG6VZONzmzEccTUeZn864sFRY+Jz0 yy2fYunIcEsd76EDLCwdpaz+4QUdFUiYzfUFsHDguKFLdhIdleqb7VGIYuHx Q+feZKbQ0QbbYh3JRBb+RX29Lv01HfUZ1r3W+czCPkEqcq8y6Sh6yM8e/WPh wb4DNinZJJ9nxz4fX2Th43vPP0n6QEcvdJfa1vISWJ39HSPhIx3xHBtcnJIl cMd1NZHYb3Q03Ldq7sh+Aps0HTR9VERHT2R03uw8SuD8bRdDo0voiH4NW7Vb Ezh8Mp03soyOvHY8cD7sSmD9i5vY7/2hozNp/Ryj4QROrzgEd2vpqH7NH9/E xwSW2XjpRtBfOoq4QrOnJRB4ciBz7nYT6Q/qFxHZdALbG9Rs82+hozb/kq8f cwhckTzucbONjq6ftX0kVEjglFNa4z5ddCR/1vhmzw8C074e3eTdQ/KtrnH1 dAWBfWXdL17ro6P5uaJTT/8QeNgn6p3XAMnfSVvNsHoCm7fkDHsM0ZF18ViL TguBv2//u959hI6uJotYPO0gsMbjKafLTLKe66OP83sIzHt8a8/FMTpS7/xk IjNCYPdsc4ULE3R0LGBT+ikWgbtEvezOT9GRopvdB/sxApu6PXr23wwd6ac8 spKcJHBBVV7L2Tk6ynv9Iy54msDr1BqlnBbo6ET4tQuZswSOvDdr4bhER1Lc bVWR8wReHpKMcViho2zrzwWqiwQ+b7S9zp6dgZSjAtX8lgjc+PIEzY6TgZId 9q4JWSbwXq7rh2y4GGjTzsSnB1cInHE6LsyKh4EajoxElZF41feCihN8DOSX zC+4TOJg+RZ+SwEGOjgRwj5C4infBSNzKgO9/xXjEU5ihzaZoGPCDLTiP3uO Rcav2qlbckSUgQq3SLdRSByS77FgIMZAG2Xv3G4m8zPc8l5zpwQDDWflep1f IDAla/CsBoOB8rb++JT3/++f1BWfK0kxUPCFk+Z4hsA33lrVMWTI/KPSjfyn CLxjfTS/4GoGij4R8ZhtgsDTyVWITY6BGn87Gu/4R+BsBV6vSXkG2nFG9qwG k8Buz3enDSoy0Nq/BuMdQwRWlfHuaV3DQPel5yeM+wk89ChH6s86BkqyH7hy pZvAL8VZZiXrGejs+KHr5u1kfRHKgR9VGKhuvaDIVBOB5YROfUpTZSB2y1u7 zP4S+DFP3fqYTQyUaSMVtvUXgY/fodqFbGagFJ6R4qIS0m/shtG+2gz0SrEO C34l8L35j+xndRhofihGqyabwEZeE9usdjCQUkb2D9M0ko9J1Ytmugz0qfvC kaCXpD+Z8c3bEAN9fhEcpkr2ww7nJhFVfQaS5P1sE0v2y0w/zVB+LwM9Ntl6 +nswWW9nQDavEQNd8ew6tv8qgU/Xng9tMmMgj69GVarHCCx/KOV75WFy/YF6 gxsHCNxa0T777SiZz8vtoSGI9PuPw2feWDDQtU1BtS0b//894bZd3nYMZGfQ WWm1wsJcWy+5u55iIGHPX4rREyz8PevNm9OnGUhcftPKvQEW3vluNcPkLJnv acvcrCoWVo/n/LfKlYH4Hw6ID8Sy8LCM3jrRS+T6wKuPhUNZ+NVjT2uuKwxk K/f31vQNFpaPHCplejLQomzsyoo9C4sF/H7xxZeBtCQfS3GtYeFZ5ydH7cMY qE8+XGnqGRM/uJ7E4xfOQEY/jj+9F8LE60LeFj6LZCBry+tnGzyZ+PjrQqWW GAbasq/50wNTJs4aaJk4Hk/6w7mDcnd+FLs4rooyziD54RR0r9w7ijnd1xg5 ZzFQachmSo3qKI67rboYnMNA08KVJx+Ij+KyRF3HH/mkn9Y4HN7SM4LXdVlr 7/7GQA72hvu23BjBnTbP6rbWMFDLlpXoXcnD2OtCSvDxOgaSUR+qZgYNY6Eb abru9Qw08W7P/Inzw1jv6efkzGYG8p4c3u6sOYzjmtvcVXvIej+p3bhcMISP WchKKE6S+eUW5Dh+HcSlh+KPU+mS6Myl1Emu5/3YubjvC4+kJAroGVCz8OnH VB3V9RzSkuh1wotBz5P9+Ijcx/np1ZJIsUuLqkTvxy3MmvjOtZKoyUfj+NZ7 fZgVwj2cvUUSffApOhjq0oslSi74njwuieQd7OjrhLqxw3bdV6+iJNFC/39q AbgJ/8esnGqNkUTD4hbrLG2bsNsLu720WEn0cf3Y3b7FRuzHd7vL55kkQoIi WGt7I37aVCZz5KUkulqRfaAwvR7XX7MIX8yTRDRDb0/HsFp8oODytcMtkmjv wag2C7NyfPgipTSwTRLdTNX0+exXhi0VY+ifOiTR4mTXhrb3pfhsyMfsdb2S KLLv35Ojwj/xnZNsrIVRSZTNud/R6lcR/jJ/3+HlsiQ6Ef3mc+yVAlySLpfZ wiaFeHSSdn2tzMcVDpkrIpxS6NrTntxE5TzcUl731JtHCkUObUpJa87Gs3Ey DYdEpNDqnWrBOT5v8Ipp2tpAmhT69Hvo7he1V5ibE9wLxaVQlN/yTHB7EhY/ 7yC6TkoK7b7CWcPtF4dl5CbtrGSkUPqH8yr3Oh5ixdqA9PDVUmhP4QW2LL8Q rBLEWCqRk0LP64Tn+W5ex5o7XxsvKEghRlltzt/q2C//AzcDgzs= "]]]}], "}"}], "]"}]}], "}"}], ",", "\"\\""}], "]"}]}], "}"}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"AspectRatio", "\[Rule]", FractionBox["1", "GoldenRatio"]}], ",", RowBox[{"Axes", "\[Rule]", RowBox[{"{", RowBox[{"True", ",", "True"}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], ",", RowBox[{"AxesOrigin", "\[Rule]", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}]}], ",", RowBox[{"DisplayFunction", "\[Rule]", "Identity"}], ",", RowBox[{"Frame", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"False", ",", "False"}], "}"}], ",", RowBox[{"{", RowBox[{"False", ",", "False"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}], ",", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}], ",", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}]}], "}"}]}], ",", RowBox[{"GridLines", "\[Rule]", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], ",", RowBox[{"GridLinesStyle", "\[Rule]", RowBox[{"Directive", "[", TemplateBox[<|"color" -> GrayLevel[0.5, 0.4]|>, "GrayLevelColorSwatchTemplate"], "]"}]}], ",", RowBox[{"ImagePadding", "\[Rule]", "All"}], ",", RowBox[{"Method", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "1.2`"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", "\[Rule]", "2"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", "\[Rule]", "2"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}]}], "}"}]}]}], "}"}]}]}], "}"}]}]}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"AbsolutePointSize", "[", "6", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "None"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"(", RowBox[{ RowBox[{"DeleteCases", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"Identity", "[", "#1", "]"}], "&"}], ")"}], "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "1"}], "]"}], "]"}], ",", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"Identity", "[", "#1", "]"}], "&"}], ")"}], "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "2"}], "]"}], "]"}]}], "}"}], ",", RowBox[{"{", "}"}]}], "]"}], "&"}], ")"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"(", RowBox[{ RowBox[{"DeleteCases", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"Identity", "[", "#1", "]"}], "&"}], ")"}], "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "1"}], "]"}], "]"}], ",", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"Identity", "[", "#1", "]"}], "&"}], ")"}], "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "2"}], "]"}], "]"}]}], "}"}], ",", RowBox[{"{", "}"}]}], "]"}], "&"}], ")"}]}]}], "}"}]}]}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", RowBox[{"2", " ", "\[Pi]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.9999998592131705`"}], ",", "0.9999998782112116`"}], "}"}]}], "}"}]}], ",", RowBox[{"PlotRangeClipping", "\[Rule]", "True"}], ",", RowBox[{"PlotRangePadding", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.02`", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.05`", "]"}], ",", RowBox[{"Scaled", "[", "0.05`", "]"}]}], "}"}]}], "}"}]}], ",", RowBox[{"Ticks", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}]}]}], "}"}]}], "]"}], ",", RowBox[{ StyleBox["Placed", FontWeight->Bold], "[", RowBox[{ RowBox[{ StyleBox["LineLegend", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", TemplateBox[<|"color" -> RGBColor[0.368417, 0.506779, 0.709798]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "1.6`", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", TemplateBox[<|"color" -> RGBColor[0.880722, 0.611041, 0.142051]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "1.6`", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", TemplateBox[<|"color" -> RGBColor[0.560181, 0.691569, 0.194885]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"AbsoluteThickness", "[", "1.6`", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"HoldForm", "[", RowBox[{"Sin", "[", RowBox[{"HoldForm", "[", "x", "]"}], "]"}], "]"}], ",", RowBox[{"HoldForm", "[", RowBox[{"Sin", "[", RowBox[{"2", " ", RowBox[{"HoldForm", "[", "x", "]"}]}], "]"}], "]"}], ",", RowBox[{"HoldForm", "[", RowBox[{"Sin", "[", RowBox[{"3", " ", RowBox[{"HoldForm", "[", "x", "]"}]}], "]"}], "]"}]}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"\\""}]}], "]"}], ",", "After", ",", "Identity"}], "]"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.8499688967769794`*^9, 3.8500209908980246`*^9, {3.8500216953582153`*^9, 3.850021710644205*^9}, 3.8500458542231836`*^9, 3.850046790828994*^9, 3.850047175020173*^9, 3.850047292859249*^9, {3.8500478482915287`*^9, 3.8500478511084642`*^9}, {3.8500478841996813`*^9, 3.850047892020898*^9}, 3.8500480090540066`*^9, 3.850048106558158*^9, 3.8500486420582147`*^9, { 3.8500487454986897`*^9, 3.850048748746039*^9}, 3.8500492731770873`*^9, 3.8500499946123023`*^9, 3.8500500782102575`*^9, 3.850050556438369*^9, 3.850050917136198*^9, 3.8501051677466793`*^9, 3.8501056205155296`*^9, 3.850108293325369*^9, 3.853059973066367*^9, {3.872481067575368*^9, 3.872481091068288*^9}, 3.87248121988415*^9}, CellLabel->"Out[8]=", CellID->505900159,ExpressionUUID->"d3e04ce9-481b-4769-996a-9df668646a0e"] }, Open ]], Cell[TextData[{ "Copy a subexpression from above and use it in ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Graphics", "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/Graphics", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "8e794d76-6b7d-4057-b8b3-c0aa3b01e31f"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.8509181535134277`*^9, 3.850918175360075*^9}}, CellID->689086180,ExpressionUUID->"3c289e72-c9ad-4ce4-8880-eaed379febe1"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ StyleBox["Line", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1.2822827157509358`*^-7", ",", "2.5645654315018436`*^-7"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "700", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJwVmHk4VO8bxhkq2QaZsSZakEqryjd6n4QKlWRpIVJaRVRKthahTQhFipSS fYmKeIWiRdmSfTdmjJnXrqy/8/tnzvW5zjnXPM993897znvUHF0tnGgCAgIf qZ//H5dxCreoPLRHv0wWKys8dEUTGauPN4S5IhYYs0rD/FCP7Km/udRx+Y4Z QaewB6jR2L84gTquUBvm2YXGot/2YRpPw2IRvfDwfN/76cjCWaHxcVg6Mk3e eHKRL0ahQ7bZkWEYxV21/dQOv9CWzyaiBhcq0caGt5lnr7QhqdpXvzY9rETX gnMChDPaUHcnLWJVdiVyNB7GPr1tKFggf5HCcCXq3jQOIivaUeeWFToD7lXI dOnq2PrH7SgoS8zhmXs1MlcS67dx60B1sT9yJtxq0SWP61sZjC6UnKbpNRBa i4QPaodna3ehawX+wMqsRe1fzpRt3dmFljfpfa8arEXp4x8clLy6kDcztT3R 7TcigbNRfW1daMn9+2I2bnWo43LPtu8J3ej81T1Hs8/Xo54Bt6N9aixk4qKX KBJSj8zezpe6vpmFljhqEbv0eiQmXHKetpeF6nbN9RHh16OsP/ZDpV4spK9Q +NjubANasEAr1riWhUTfr6qcd6IRuQ8+19K63osSRsWR7eFmtHh50efOr2zk y5m4lXm1GYWfTLnxuoWNDrSwf8yNbkZlE9dPWQ6ykfjn0kOZ9c3on8/dYyfk Ocg93NtjrnULMj8bIn7aiYNgfX9qhnkreitnvbhhgoPOvXcKpi1pRwE3vUbZ MlykvWufquCGdlR564vW36VcNNCglzVr2I7oP/yK2Bu56OLkgrqpE+3ogtjZ j+cOcdHVrcULx5Pa0cedM2XCcVwUUKqSyl3XgVYlFq+2XtaPdlqJor7tHWjC 9vUWd51+NJ81Wsm27ECbj4VfdDHqR/fmVYz0eHQg/6igZfOc+tFDEy+99rwO NHbn88N38f0orvLP91qDTrR9QubxHHkecjxaYlezvxNFnUnZq6zOQ0uG0kjV 8U7k+ff7UpkNPPRqQcCCXwGdaNHiEnb0Xh5Ktd5w+Ou3TrSeU6ix6BYP5TWH 9BVYdCGzMF3fHg4PeZ/z9v54rAvp/ZGYYY3ykP7MScn8i11Iamwy44sgHxUt QuveR3ahXfW5V1UV+KjMkeeZ1diF2F+mVusZ81Ete9f8147dSLfwwbr50XxE ojSNbrp3o9TEO8fhBR+Jms67bn+jGx1mvfY6mMJHkFr6Vy6+G/FiXuqsLeSj ZDfEDuroRkmL4nsutfPRl8UqS50Gu9HZ4SazfDYftddM2W8T7EFRPkOWnQN8 xNyY9+efag/qeFau8VuAoBsTG8rOOPQg9YWas2aLCHqavEBox/keJDx+6+Ez dYLe2w5tXXKtB43hgbtVqwjiFabnNsX2oAtB+F7TFoIO3NR6ZdbWgyqWRtP9 rAm6sGF+pybpQdtMeoSbbAkK7uldOGe2B7XZDmnKHyOodEdCRIEKC91V4Xbr uBK0Wlz1lvYRFvIw0AiauUWQScFMkagLC3Wu9N1z7C5Bx11aplg+LKTR1sJ4 E0JQdGX0xdinLLS7Ufnhn2iC5kYwjku1sJBCyvxCnEqQmvFIbH8/C6kbGNBW ZhGkN17dVD7FQv5hJ9U8cwlyOxiy/7pyL5qjlN6WU0hQ80Kx7UOHe5H/qeO8 9xUEjf/k+P4824vu7raPWlFFkMy18rwkr14UtL9K0K+WoJ2dt9Yde9KLImQ1 JssaCTr28LgLSu5FxZUttwpaCPI13J6klN+L1uRmFj1sJyj7lcDi2sZetMr2 zZbOHoJ+2rTZZfT1IrVtkR6H2ASxRQqj7k30IvR0nU12H0FCeTG/T4myUTFt TVN/P0EqZ72kjRTZqK/2iMA8QpCu8qHdalpstNAkrVRwkCDLis23p3XZaPjc SvWWIYLurB4TyD3IRhuXBX7QGSPo6uVdK1hn2GgmYolT1ThBp3GMFdObjRyH jqzc+Y/yb96An/F9NuK9D5KInqD627s9yeMZdf+04ryySYI2P4qsfZXORq9P 58n9miJIs40zU1fERmLbNm7NmiZIXkN/+bxqqj77IM/zMwTNcw3Zv6mLjT7p /y6fP0vQWG6Xz8kRNhrhnV3hSzFrZmPiozkc9FL1S1wFxXXGd6rLmBxkuCRI 8y/FX4JbpsY1OEi441rxNMW5dWs0NHU5SKzrjUsrxQkq/vsOmHCQn7nGqmiK w0/88Qo6zEEH+Dtm1lDsn6b16r0zB81bdKsznqrn4phPJduHg7gdNxoJVe+x rVUT8g84KLya3itHsUXA0mW74jioUmPZfCWqP4Ofl/d6ZnJQaBZr2z9Kj3XM 755vijkoujk+LIvSa/ERlZcNNRw09ap6yvgvlY9Xbj/n93CQU6LCjVxKb0F+ 6V/dMQ7SFTNeKjhK0ICO/JIz8/rQ9bvmPerDBLX7nN0dLd+H4i7almlQ/lV+ Lrz8bXkfann27ocQ5W+RhEz8xH99KN+5cTyP8j/DyumHllkfUis/abqbykfs 0/djh+z6kMmiVd/yeqm8rbI3zffrQwOTp600OglyuZR1iRvShwJ/m59SbyPI rmBOnFJ8H0o03ZMt0EzNw+6UEa/SPjT6YavAjt8ErYyYVUn53YeUH43Mz6by rtxisauZ1Ycqq4wPT1DzMOn876nefC466CLPUvxCUN9bs3JnRS4qzE3VHPlE UONU7FDMCi4yXyT2ObGAoLx7xjumd3OR2XWlRS/fEnQl5eFAQRgXiZR95HXF EXRqhKXIf8FFj+gRYY+fEGSj95+RSg4XRT30LNCMJGjjj/Yo3z9c9Fc/qbDp DkEj3FXbkXI/2vIpQ/O+O0Hd66+fc13Vj1oTvuWqOBNU41X7KHZrP/qcnSd4 z4mgLDGv/lmHfnQp81n/Pxtq3leURxQl9COByCWjS6j1qtup+1pcbj9iVq7u fbeeIOs4AedrZf0oImzf0uUrCfqPoWsAnH7EDo15/kKZINrsGz5eyUNTdtpP /03yUVj13R04m4cmc3UK1r7lI2GJxHWxpTwE8V4Jz5L4yGNH6UK/3zx04Y61 GyeOjw59nBreOs5DJtGL2+Tv89HiV+fiCv/jo5IVhSbtx/goy3Pvv4JPfKS9 g/ZESYyPlr492/20mo8qvvBUnGd5KJIf+Muni49WX20yfDLMQ1ePFSXozyFo /+TF5IgmHjLYvdaiYCdBLa0fbafe8FCN6oLkj78IerXQLPQp8NDEsbNpLS4D aN/v9rLHVv3IQXr4ykePATTTKpjBMaZ0K7y6/YnvAJJcK/ffos39KEThTv2B 4AEUme91brNiP9L4lUirTR1AaSPe7KUtXGT5H8v6W/8AUkpoRsN2XJQmdXQ2 98wgKscfDWtM+5BsIftrhPsgGv9cv6hOtw95nj0ffvHqIDIPlI/CGn3I8Ivf 8nV3BhFXYHGKsVAfavJ6tj/1zSDafOGeocYHDhLpbXr9gj2IfoRl0Q1UOcix wNo85MQQCt/75vLR5l60LldeRsF1CC38u7I8/HMvoqU31jy/PIR+nNsqlprW i+LjjthkBw0h5yPnqu5d60WdN08cqUsaQq0vbJH4kl7kaOLhrEyGUMPFB/TF x1jI8U9EUOLlYbR3TdHEmcpudGywtqgoaASJcPm6DU4d6N6ad66vAsaQ5h15 qzTvWkQrerfJ/+pfdPrEESMu+y2S1jL92fZ4Aun0HTOtMyvDO2MNXgyETSFe oLrR/oxGHFhe2XLjyRRKKl4dFclvxF8Gj8gzXk6h1R4DtPyVTdjI0Ou+bs4U 6lI/OZGQ2IQNONmXb/yZQqZN799OPWvGeuuXmckqT6Ppy8aprrda8ZqyeaOb EqbRNjHfdSVKHdh1IGL1t9RpNK/lQnDW5g6cprD0jG3uNMp8mbos2KoDr3KG tmtl08hO9eb1+Q86sJa059evnGlk4fbHUkKwEy893Pf0sPYMavZbyV7Z0Ynl yA9jv3czKOzYtYz+kG78OBQf5eAZlBotEJyU1I3lN2R57y+fQc5TLsH7Sin2 fJSl0TCDkmySAw6Nd2NFIUeVyokZtFDfDKxse7CK3Pio6tZZtIf54M5vNRZW R2oJxaWzSL698ZZhdC9+1bGgaGXFLFr1yax4MKMXq/vPbYr8PYtklOW++pf1 Yo2vXKmzrFnkPtFfdXikF4cvP1w4X1gAjhsFKn83Y+PI7GVaWcsEAH3Kt4r6 y8bRZXmCQqcFwOmjw13zLX14oD3DkzgLgMnsfcOtu/vwjolXg03nBYBXwkqT se/DIysfdry9IgCerg8tXG/04T1hZz+dCKKu9702OVrWh2l2yte/vRaAXsH2 fVp7uPiAh8y/3GQBGPLq3el1hIvTH4i4vUgXANqFNX2ZLlxsWzzi4P1OAKZF dXm/grk4V6MCtMsEwKY+wriigovPDvkIhLEEYIKuoV5k3I+LxS5e8e0TgED+ sjfHrfqx/LIzA2f4AvBtWxWbd6wff7Gxbt8+JgB+05Yn0q71Y9UC7aLROYLA TefU97zvx7WBbX4HlwmC4jLhvsVLeVhv4bZZ1eOCkCyq/sanh4d32ta6O54S hLslXQ9CBnnY8slJ1gtnQWjL/B16fZqHzyoEV6hfEoQPV85mTsvycTSj6cnK AEHYV3aEb2vAx38lLm3enCgIag5G1imRfCy8WyTFM0UQpOvz+NFxfCx178mi /AxBWF5j0HwiiY81RIvnbv0gCCpB1nciC/jYei799/ZvguBvXjDHspOP384k uu3tFwSPGzHhW5cRXKSv1xMyIAieWr+fT68k+If3rwPVI4IwmLDZKWoDwV0T o8hqWhBYW3T6T2wnWGbcQPKwJA3IwIcFB+0JVtlYdz1Ghgb+XSzOlBPBWpdO j7YwaRDmn6fj40zwtuEHzQ6LaJCcISm9wJPg86Q56cQaGvBW7ZJ5GEKwt/Z5 lcQNNJBMOl+pEElw0DmhMM5mGnxS+Frh/YTgWO5yT+dtNFDLqTr3J4HgJK2C /lQjGghHfhX+lURw7mlzB7KLBuqd10vi0wn+2euxw92CBtwd1+Nb3xPcqC6a n21Ng+pky/fGBQT3OD3VHj1EA0slwY47nwie6iphXDlGgyPNH21efyV4RbtU t89FGnAK7tutqSd4T69qsccVGuy815CxrYmqn78mztWbBvp9ytHrWwl+O2Vu e9SfBlvvii350EVwndDR/w4F0cCix7DAjEXwX1E3+f33aHCSFtZZxCZYTyG0 1jCc6rexvtSER/AR1edZ+o9p0FNzwMeBEHxNIzNkYwwNMhf8e2c9SHC89ieX 1XE0qLX55r5qmOBSnSozzZc0uOcyldw9QjBLr0NLLZEGHze1HvUeI1jEcFBE MYUGEa9awkbGKT9MBXtlMmiwrCRQf/c/gs0spD+LvaVBaXKQQ8AEwS4H1V4I v6fBscjkidhJgkMc1l6fzqdBflWjaPQUwVknt9mPYRoc/7Io5OI0wbUu+/RJ CeXPePzt1TMEj106qsQuo0GjcMrYN4rlfdz+tX+nAf3N8zrjWYL/87/+p+EX 1c/H+ctfUGx7NzSnuoYGV3Ru89oo9g17/vD7Hxq0qXcvod43cVxUpltpEw0c iqe/T1BcHPdpb0Eb1a9NfU89xd2vq1bldtFAwjLC7RHFc9M7xNJ7aXBz+yXX jRRr5g5yXnNpYPTrT1sOVY9JgWB5HKGBUOGWEgbFzqXSr6KGabBreKuiNdVP 8Hc1/7BxGrS7POvxoPrNqF7reHeSBopmG9WvUHpUN2wD/1kajBQJthyk9Bpp 36fiIyQEKguVxJQpPZnso1OX5gkBpzw/s5DSezNxa3QREwJJQ73qbZQf3tOh kQ4LhGCbbGMAZ4jgZ8LxFw/KCYFx1XYVScrfIrEsCwslIdijpb5xAeW/sGK1 pOESIZjYtJ0U9hGsrtbZr6chBD6VxeFOVH52ag5901khBPfLDUv6ewi+t1Em UGO9ELhMa3+OaSc4TX+xk+omIUi1rn36uYXgSsN12xW2CMHy7WPzfzUSLLvf YlZ0uxB8mvFNvFlL8MZDji1CO4RgXaVih3YVwQeOuudPmQjBqfVPP+RVEBzj GnaZb0H9n6rsgYtfCC70iLfqtRaC8jU6y+KLCW73yVrffoiqvz4iLqOQ4KX3 qkmVoxDs/Fmc6ZpLcGqizKkcdyHYv8coy+Mlwf6/8Tahy1S99jstDWKpPNDO Ke3zEoIjO+wOcqIIFrUt+9l/UwjiNJITvgYTfILurbM0QgiU38fO1HgQrK+3 nO4eJQSWzCpXr/NUP6fr2PipEFSv0r86c5rgkuI1MYdfCUHFgqkrj2wJVvXo oT18JwQ/Or9MMIDg8fiw5vZ8ITjPOiD9ZDO1XvxCudpFQlCV+Edwag3BPsuj T38rF4IMHenwfWrU+tG8p1KwUQjW7K30NRMgOHz7+6fnp4RA1WFK4M47Pj57 3ulyoYAwlN503lCVyscGT2X2ic8RhsL+q50jL/h4cMxZOFFCGKRCjJurHvDx niS1s20qwvDE5UhIlxMfi0jf3bxnmzDoupf+PC/Gx236m2VijITh2PvH9rdm eTj3TA+Xs0sYqp0bNlwe5mGnUhR7y0IYPpk97R5q5OHiyyNzCo4JQ5xgO8c0 kYe9W+1qVgQIw+eErIehejw8skP/qdMdYUi+pqpZos3DzpnKJ2ODheEd+4dW rSoPH/ZvmpB5JAyyrrofwoV5+D+tg4snXlPXv8jJDf3Wj/9dsnQr/yoM752G 790278ceEqZ0J4k5oL2qOqfPkIv5HloNz6TngME/QbbWei4+0T7/RT1jDgz+ GCg0U+Ni6+zyjWYqcyDecjBJZ7oP6xw0PrJ+9RzIblmW9Sybev6/3JYquG8O cLWM4toU+7Cb3mbTZ+Fz4OO2db/e1rCxgEu434PHc2C3RHtPMWbj4NiB7Gsx c6A4JGTofTIbJ9HeKB97OQeOLOzfYneTjTvLFfgab+eA3ZJtOUFr2djSajIk s2YO9D4/UOJ9uxdvdCmsK5WZCxxhy8HTmiw8EWvoyA2ZC8kPJzcu1ejCW8f1 w9ZGzAUND52mt2Jd+PqeTcWXo+bC6Ihb0eqBTiwyvXyxcPxcyLHO/979vhMz DtE7lbPngovJmcN7d3XiNbKNR/f8nguJTxbaGZzowE5BrkczFebBEz2jjfOX tOHK89EOl+Pngfb7//Z9P/0H6+5YPNPyXAT+/blcMTqI8Vcj3USImQ8uGwbF i3wLUUJmlG5nsijoCfoVLxOuR2cmD2vVp4tC755DF/9srUdrjFSUfmaLwtK8 Dw5unvXoY3381Id8Ubg+z0TIjl+PamaTceh3UXir9GWlxJ8GJLin0GgbVxQs WukmsS+akF1f5744LTF48nO2UFCzDTGWrDxz5I0YvDvNTe9jd6KQsLvWb1LF IM0n+99D4S4kSuMajGSKwQmbU7Yaql1IoOON0p08MdhBEnliNl2o/5lGRc53 MRgxCv5RXtKFShWXrJHgi4Gz8RHdscfd6KKM4lj+OnEwUOn+z3QtC5Hrnp1z N4lDlJGmwtQuFjozWP9z3xZxmFLjmj50ZCGHykeve7eLwx6TYv2LD1nILJhx cIGVOFjbSG+bHmahJaLSH89cFget2+tiFmT0ompBkRsKH8XBUoqkRS7gIH5q 1BHzInHQq9M4elWTg+YfWrElsFQcXvw0VzfQ5yDI2jMy8kMcynT33Pc5wUFp jhEnKlvEgWz9svf5Ow66W7LYNHBWHOo77ijftqT2T7f0ZUcNJKAjukDB8AoX Oaz9NbBihwS89Bfp8LvNRV4tDhWOphKwgKMn9zSai7J0/AMq90uAkU6gv9dH LlJlffubfFwCAmMVbb7McNGU8YEWxwAJ2L7hw8BNn36UI3LhVeVXCVDQ1y1U P8ZDLO/rvMIKCbjEarxxx5WH5AcfbEitkoD6h0GNVV485N2QUny7QQIyQnMW iIXzkGESq9WAIwHktNIp9RIeqjY9JJcjIgndojLfxpSo/XLRqSMvxCXBp3bu uWB1Ptq44XJCqJQkBF41HRJZy0fRyuHrXeQl4enLE16vjPjoKK9ir4amJPTo +F24cY6PBoK3BUXtkATFnOG3Oe+o/bSQ+a9AU0k4Und5yqOIjywvH2F67JWE HZbJoYpf+ei9vddLCxtJsDzQelOkkY/81uQUiZ2UBMEH5KXvBB9lvCyZN3FG Ejrkn3vsoxHUKV+9h+1C3S9yxnquKEHGgqS51EMS6AeiFzMVCJKs1vznEyAJ Jf82LK3QIQiMN4HzHUn4nP4oJl2PIPc8o8BDwZLUevW278J2guriHRmbIiUh M4jBf25O0NMLMWsHEiTheVpKR9hpgn72Jl1pfSMJ/q922dx0JUjA9gP+kSoJ sU533awuEXTcsG73mxxJqEx/5vPsGkErGVJnHD9LwlBKo11JBEEL0vNTEr5K wpfk5lqtJwRN7DxJ2BWSIP6384RLHEHl3oUXXesk4WfsltLbSQSlM8+8y2qU hOwHC/yPphMUmcGYGG2VhC7a5A7GW+r/up39vHslIX+89ItUAUGmvvLFmCsJ JpMXLh/4RNA6+VJhoQFJCAj9Luf9marXTOnO7b+S8KDhl6xNBdVf9tfwyPl0 aHF5GXC4iSD/3Zf+NEjQIWr+oO6NVoKce1UVF8rQ4aNvWb5/B0H/KV2JfaFI B/Ou4IULewlSy1nSyVKhg678svEsDkEie38t1VpCh/QPD8KW9lN63lBPylhB h8Irg0JPBggqUK7uH15Nh3lL/tTGDhH0Mtdn9aYNdBA46GJ3bYSgu+bL3a9u psMC+4gnemOUP321bwv06PA6Y//92nGCDvpfGxfYRgdrWuOa/38PBZWV/xka 0WF2+w3/RxMEabz/4x24iw4v438FFE9S/lvcxN9200H5jsvGr1MEjXK1aZIW dAh5tSEseZqg5luNhvus6fCnRzXq9AxBJYsCAsMP0SH4ymEToVmCkj6s/fbn CB3ka3QSrlAcur9FXOkYHezStN58pfgKL2jvkZN0cBJptRqj2D5wQ9jzs3TA Sxcmz1BsrNZe2+1Kh/x7rYmdFK/KvyuneZEOHnSDvfEUy1ptOnT2Ch2yPoU8 06d4kt8Zk+ZNh8BpvUdvqXo6g4LbBq/RofNop+48ir8u/m+xzi06VFQZBepQ 9Wd87Dl+5TYdoi9YXUNUf4+sQ1/n36fD93RN9WVU/74Den0zoXRoWi1wlUXp 5XSHvdIgkrq/2cjn5l+CzJaGu96KpsOjlntrpyi91xeirPJnlL8RoY/NRwlS PMAdEXtBh23Pdd9eGyZIcChy097XdMipexhwb5Ag9l2Dq2HJdHgF9dIXCUG5 OGpW/i0dJJsqbOv6qHwdNDKwfU+HvcwCtX1sKl/DA/6xH+mQEiGT9LqHIAuN naLqn+lgq7dWmt1GkO6nYbPTX+ng8vr6WFUzQaqHYx+kVNAhu8445VEDQSR4 THZ9HR0Or6U9zq0mqH9ApXhVIx2Ctkep7f1FUJ/FDlfNVjrY77dZU/6doG7m 468LWXTgttpxD5cS1PhM11dkjA6rav6BKDU/9QKOK4Qm6HCgcr/ta2q+fjve qZ+epuq9qam8LJmgUw/PRf2jSQFj5X9Pip8T5GhTOMwXlQL5XQ+UAu4TdDTI wqRfXArGrT1aNYMIcvjAiuNISoFyPs855QZBdkr0Pd0yUrC9+xjN+jJBB9rs ExsUpaAd5qevtydo90lBu1ItKXiaOc9NZTnlx+OI7E8rpWDRZEV+pRpBJl+X i2JtKRiZcd50XJGgnSss3n1YJwXM7txWbTGCDEi8dPp/UvB+YVrxfi4fbb5s +CXKRAo69Cx5nQl8tCmxXvmRmRTMDc76lxxDrd8NzhfC90hB9u+UPOuHfLR+ S4TqAwspaGTe8tt3jY+0Z3uu+h+SgmttBSotB/hoSWDgatczUiA62XjcSpiP 3Os2+Do6S0Fmlf9Nj388VLSs84eVixS0tF5W9eLz0JFSvTN67lKwKVRpVrue h6IFh17OvyoFtxrOXzVI4iEZb1vFl7elwM7cWnHxLh6iua2d05AoBb5ff08z 3fvRvqLW/T+SqPpRpmbhsX4UR78Xj1OkQMAiY7+JVT/amsZCrzKkoC54VYf0 5n50lfvk6oX3UrDRz+So/RQXDTnNHZAolwKbrJgbAte4qPNQU6NBrxRE+EF1 6YU+JK5v89qBIwWKzyvyXjv0IZ1FNRd8uVKw7GSVwrndfSio65t4HpGCO2J+ obHqfWi1c97WtX+l4MmNC98S/nCQt09U/KL50nDDNLXHZAMHMeJszkxpSYOb WP2J6PpetLOn5l+OizTMF5G3K6/uRj4rgr3Sz0vDiNaRpqK8bpTltnM60V0a +pJfLk2I70ZKMx8FYjykwW/ODo+17t2Iz3w174avNJR9z045LNWNwndeYewJ loZfO5sOi+3qQu3JymtZqdKwPvKA4c2UDnTF3ekUkycNjaylhr9vNKM9uU9M mB4yYPTl3aGkzHLEnzrjLTQmA6vZM2Ibb6bg53+uv3W5sADam/wXOY5U44lT +g6ekwvgYCivO31FBzbJ14JL0wvge6xY0HnjDvxEQl7VbXYBpLS+XaF6tAPr ZQ21nRKShdifmWJmkR3Yd/K1/QExWfh6fcf+mtkOLBQsY79JSRaehcw/evtX JxbP7rUb/U8WZHyT1DodurHtnN/6g3qyYBBjZLLPsxun2hQv5G2VhXRO+u6U 0G68ZyqmpdtAFh7qad1aVtyNQ4ws7GpNZGHT1ljlxYt7sGz9R9vsQ7LgNOJq v7q1By+cDj3sdlUWSr/dEJ0w6sU7O3d/eOQtC51ytF1Bdr34Ytl8uUJfWWhf NBo4ebEXfwu9Xi16UxZ4S4ejQ170Yg91t10v78qCtvBBdffZXly513zTnxhZ aCoIKpnMZOMb8ZIL9LEs2L4zN7ks2IdTA7+dP/ZJFk4ZzwRcYPTheueAn7dL ZKHxtkDcvuV9WHvTzO26MllwuGchlm3eh5u+8wTOV8qCVLPgbpFnfXjD6A9+ fIcszH2yZRFnHRezdtz9JiLMgM/W8RcHDPuxo6mD6rK5DEAysXXZlv24ZY+O xzYRBlzsGUiyOd6Pa63a1K6KMyBUXNQJbvbj4mPrPbmyDDh+cC6E43781K9J 4+cyBqj8PCSxaR0Py9/M8OnTYMDtZ8Pv/iEeDg+4VTNXiwEvCut/PtnNw3fu r/ZD2gzwmSLCvqd4+MqTm3UZGxkwPqs29D6Ghy3frbj1cAcDfj/etGNqhocr 8wSa0ncxwGWTNztNlI9NC3+v+WHKABGLXbLApPazn/2ahc0Z4GmlWD+9ko/X 1NSs9zjAgO9yMpk9B/hYnHh1HjjNAFaag4ZtEh8HDZlvvnSWAcyk7R8Gs/lY aGxZcOg5BuTFrFBwKuDjialfut/cGJC0nanQ84uP2aJLQ7dcZcCV00JTO4f5 uET9B1K5y4ANSYc7Hq0n2CS4zYR5nwGyqcIygf8RXDk6ZCX5gAG/1HJmbLYR 3Fqq4DwTxoAy05bBZ3sI/ut48nFrNANunAm+X3SSYN9vV1/UxTBgUzSH+/Ec wXPWBaf9fMYAgeyk2ugLBMsI5pQWxjNg9GeB9qQvwStjaYPPkhgAnrrndocT nDWXORWZwgDLzfMCrKII1nVZPu9BGgM+eE7MbH1GsLG++UK/LAbYuh+fyXlN cMXLY5qX3zJgZ3ea1/YUgi3FL693zWUAtv5inJVB8NGmp7vs8xiQWW2Ss/4D wWyDTEubjwwYDvc0///3SZekUvu9hQzYVfVX879PBHt7ci+hYgbkTmXf+FxO cKScbvyibwyIEl1/6Uwdwcp+ZqlyPxggPKAVGdBA8AuW/Xv6TwasZMo03Gwm OCMn4OdsFQPqz+l8UOskeNPC6IbxGipvcgL7irsJLvRP7Sa/GZAxXje7vZfg 7/trJ9oaKD0wPaqPS7BFfu+c+iYG9H0hvnQ+wfWLJ6UqWxhgYFzvzhgg2P6O pHJ5GwPctte4Tw0SzBpU0yjqYIB7iYhP6TDBzgd11r3vYsDjH4UPzo0SPFy0 Uz+jhwGbTx18Mz5G8FVN252JvQz47+Whcse/BAuEuO6P4zDgVrgjN+0fwQHj N4485jLA3nK1dPMEwRL2kadDeAyInvd0c98kweFf3lwMIpQ+TQkODVMEK2oX +F0bpPoVcQx6M03w84jKO1eGqfPV89IPzRCsOd0VcX6UAWa3uTX9FKcdH487 Nc6AB7f9xuxnCdb5IZri8I8BRN+S+Zbij+tV3h2YpOZZRX49h2KDJ2uLzacZ 8DzrkdksxV9pRhU7ZxlwPbjAkXpfxOZnDtSDIBParMIu/aS4rups12YhJiTl 6d0KpNhO14+/Zg4T1H0Ew9T+/z0zLuyf5jwmxJ/dHhND1XNG5JWw2nwmqDje fPmXqv87Lej+djEmWOd3Vy6heOX0aeYJCSasOat1R4vqN3jcNDaIzgQzr/NV 4pQeZHCVZrI0E454T73+Ruln3k/PrFjAhCx/ffpxSt8s1qDuAIMJwdo/RBoo /Rd01BTLyDPhWOSZyOWUPxebckx1FJnw5YBwnhXl3+/fj2ptlJlgGJJ2yY7y d2Olp91VFSYI1bz+DoSat1J9V7yYOr9qn3l0H8EH8aK/HUuZwCzZ7S/FJjjv g+B1YQ0mFB5aZ+fYQ7BP2uewXSuYoL9PVjSqjZrfxNdKzquYMB7+ptuHyiu8 uP0yeDUTSmOs3bZSeaY93p1bs54JNr38dItqgo+FrUZjOkw4NP3x9KufBJfe ky6X38yE0Yunen5/o/Jy/XeDnR4Tmh92rS8vJrjX653jta1MEDjXTr9bSPBO jyhuPDBhQoBRtDyPYLGzdtO9hpT+YJQ5Qc1niGWPqvtuJrBIvDM3huDBPWVv wvcyoRcv9Lv/iJqHXW/WvdvHBLky/TCxMIIZW88ZTlkxYWdsRs2TAIKjNUZP BhxhQoneKh8JF4In1f4MJDowYcd6390h1Hpkq/zB87sj1U/+YiviQPAiaZ+7 UieZ4JD+WdNgP8EvJ4TTo12Z8GF0pHDLRmq9GmVtKnBjwrXHxurPtQk+QcqL 2i5Q9bt9n9OlTvDy7nvVS68w4alth/kUk8pzhexY2jUm6FZulA8Y5eN3cUv1 S0Kp64+6j88k8/HSWUOvTw+ZsHduqmZ9PB+H2Dl9wBFMoJ4E/WFRfHxK8ZXO xygmXLz22SI1gI8VwzW0c54z4UBe9DMPez72DtRa9DqTCQvbVnUeE6PW7x4T u4RsJjRNPqg9JMDHVoZnn7zIYYLpiS2T60d5WFswRS7uAxPsquql77fycNvV VVJRn5gwK3j/eVM6Dxu4rBG8W8WEfsUVkSNmPJz2wxzdrmHCfjVf6i2Ch5VW uPkE/qbynEJvZK7n4ZHezH83G5jAvZmg8lmehxOOrh/y7mCCbxx7d1lnPxax 2tjlMkjlc3RiqYtbP/65Re+zhbQckC7W9SRPLr7z/tKk8QI5OJneeyvyNBfv 0Elfu4UhB5IHi+xPHeTiIu3Fz5YoyMGcmPrqgs1cnK0mcnlEVQ6OoDXn1o71 4cfzajUj18iBkcXXy7uc+/CxmrP3GvbKgeGaU6JZRhysap5QXLFPDoQu1j64 so6Dm3+0/v20Xw4E6CdENBZxqMfAPqckGzl4VVelrPeXjXd+2LTVy14OrHfl NO98w8basUIDyq5yUKynZDE9l43/nnmy3yFYDmpssk4fzmThB1dfzPMLkYO5 V8x9jkexsPqd5PynYXLQurh9peV1FrZ6k7+kKVIOxpIZP3rNWTirt2nYKlYO aOW1c7v4Pdj5uHK4aYYc/LAWf7NNvQe32z2t3VgtB4MbosVP3uzC5eaxVhJM eXBNTlhYMtmGHXX1Xr8OlweH4qzXyK0Kn+ZVjDZHygPsThTdvKoKn39ubygT JQ+HHZR8lDiV2G/+zQ7vp/LQ8uJt80uHShzT8FXJ4pU8CDc6b494+hPXedqE TL2TB7ndcpXWe79hkzx3z31N8vDRQfmDSswnvM9FuDygRR5KBHO85aU+4QOL I5kf2+Rh96zphembRfjknQ/Z6t3y8Hyh7y65P4XYnwrdZL88LMDtUY8u5OHC ifuOr2bk4bG12PrOV5n4c9qizCYBBUgSOxvVfC8D/3DMnJUSUgC/iNsJt3rS cNO32hiveQqwpmmVXoZ3Ev4brfTHXEoBUstOXHj05jme3ZO6LEBGAS5dTjix nPMMzxVCF/NlFcDY7uemGd9oLHvWUVpdQQEakb6VWVIoVlo0Yn9YSQGuHGR/ i/O7gxfX3EoLWagAZenPnwYlXcdagXLTnxcpgKGh5s+cJDe8dssb00k1BZha c/9nl05o4f8A5CtAfg== "]]]}], "}"}], "]"}], "//", "Graphics"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8499674752468834`*^9, 3.8499674820660896`*^9}, { 3.8499677770246177`*^9, 3.8499677939281874`*^9}, {3.8500210283423*^9, 3.8500210439362216`*^9}, 3.8500487839726305`*^9, 3.8724812638191648`*^9}, CellLabel->"In[9]:=", CellID->299144105,ExpressionUUID->"40b8a70a-b281-433d-89d4-57be887b75aa"], Cell[BoxData[ GraphicsBox[LineBox[CompressedData[" 1:eJwVmnk8VO8XxxkqIYPMWBMtSKVFKt/oOQkVKsnSQkRaRVq02FJCmxCKFCkl +xIt4pEUKbIl+27MGDOPXVl/9/fPPK/36977uud8zuece5/7GlVHNwtnmoCA QD718/9VCItWdOn4ba0o+P8aunU5p2CL8kN79MtkiZL8Qzc0kbHmWEOYG2KB Mas4zBf1yJz8m0utK3bMCDqHPUCNxv5FCdS6UnWYZxcai37bh6k/DYtF9ILD 833upyMLF/nGx2HpyDR544nFPhiFDtlmR4ZhFHfN9nM7/EJbvpqIGlyoRBsb 3maeudKGJGtf/dr0sBJdD84JEM5oQ92dtIjV2ZXI0XgYe/e2oWCBvMXyw5Wo e9M4iKxsR51bVuoMnK9CpsvWxNY/bkdBWWIOz85XI3NFsX4b9w5UF/szZ8K9 Fl3y8NvKYHSh5DQNz4HQWiR8UCs8W6sLXc/3B1ZmLWr/drpk684utKJJ70fV YC1KH//goOjZhbyYqe2J7r8RCZyN6mvrQkvv3xezca9DHZd7tv1I6Ebnru05 mn2uHvUMuB/tU2UhE1e9RJGQemT2dr6k32YWWuqoSezS65GY8JdztL0sVLdr rrcIvx5l/bEfKvZkIX35gsd2ZxrQwoWasca1LCT6fnXlvOON6Pzgc01Nv16U MCqObA83oyUrCr92fmcjH87ErcxrzSj8RMqN1y1sdKCF/XNudDMqmfA7aTnI RuJfiw9l1jejf953nY7LcdD5cC+PudYtyPxMiPgpZw4C7f7UDPNW9FbWeknD BAedfe8cTFvajgJueo6ypblIa9c+FcEN7ajy1jfNv8u4aKBBL2vWsB3Rf/oW sjdy0cXJhXVTx9vRBbEzn84e4qJrW4sWjSe1o087Z0qE47gooFg5lbu+A61O LFpjvbwf7bQSRX3bO9CE7est53X60XzWaCXbsgNtdgq/6GrUj+7NKx/p8ehA /lFBy+c596OHJp567R870Nidrw/fxfejuMo/P2oNOtH2CenHc+R4yPHoF7ua /Z0o6nTKXiU1Hlo6lEaqjnWiq39/LJPewEOvFgYs/BXQiRYv+cKO3stDqdYb Dn8v60TanAL1xbd46GNzSF++RRcyC9P16eHwkNdZL69PTl1I78+CGdYoD+nP nJDIu9iFJMcmM74J8lHhYrT+fWQX2lWfe01Fno9KHHlXsxq7EPvb1Bo9Yz6q Ze+a/9qxG+kWPFg/P5qPSJSG0c3z3Sg18c4xeMFHoqbz/OxvdKPDrNeeB1P4 CFKL/8rGdyNezEuddQV8lOyO2EEd3ShpcXzPpXY++rZEeZnzYDc6M9xklsfm o/aaKfttgj0oynvIsnOAj5gbP/75p9KDOp6Vqv8WIOjGxIaS0w49SG2RxqzZ YoKeJi8U2nGuBwmP33r4TI2g97ZDW5de70FjeOBu1WqCeAXpuU2xPehCEL7X tIWgAzc1X5m19aDyZdF0X2uCLmyY36lBetA2kx7hJluCgnt6F82Z7UFttkMa ck4EFe9IiMhXZqG7ytxuHTeC1oir3NI6wkIeBupBM7cIMsmfKRR1ZaHOVT57 nO4SdMy1ZYrlzULqbS2MNyEERVdGX4x9ykK7G5Ue/okmaG4E45hkCwvJp8wv wKkEqRqPxPb3s5CagQFtVRZBeuPVTaVTLOQfdkL1ai5B7gdD9vsp9aI5iult OQUENS8S2z50uBf5nzzGe19O0HgFx6fiTC+6u9s+amUVQdLXSz8mefaioP1V gr61BO3svLXe6UkvipBRnyxpJMjp4TFXlNyLiipbbuW3EORjuD1JMa8Xrc3N LHzYTlD2K4EltY29aLXtmy2dPQRV2LTZZfT1ItVtkR6H2ASxRQqi7k30IvR0 vU12H0FCH2N+nxRloyLa2qb+foKUz3hKGSmwUV/tEYF5hCBdpUO7VTXZaJFJ WrHgIEGW5ZtvT+uy0fDZVWotQwTdWTMmkHuQjTYuD/ygM0bQtcu7VrJOs9FM xFLnqnGCTuEYK6YXGzkOHVm18x9Vv3kDvsb32Yj3PmhB9ASV397tSR7PqOun FeaVTBK0+VFk7at0Nnp96qPsrymCNNo4M3WFbCS2bePWrGmC5NT1V8yrpuKz D7p6boageW4h+zd1sdFn/d+l82cJGsvt8j4xwkYjvDMrfShmzWxMfDSHg16q fIsrp7jO+E51CZODDJcGafyl+Ftwy9S4OgcJd1wvmqY4t26tuoYuB4l1vXFt pThB2X/fARMO8jVXXx1NcfjxP55BhznoAH/HzFqK/dM0X7134aB5i291xlPx XBzzrmR7cxC340YjoeJ12lo1IfeAg8Kr6b2yFFsELFu+K46DKtWXz1ek8jOo uLz3aiYHhWaxtv2j9FjP/HH1TREHRTfHh2VRei05ovyyoYaDpl5VTxn/pfzx yr1ifg8HOSfK38il9BbkF//VHeMgXTHjZYKjBA3oyC09Pa8P+d0171EbJqjd +8zuaLk+FHfRtkSdql/l14LLZSv6UMuzdz+FqPoWLpCOn/ivD+W5NI5/pOqf YeX8U9OsD6mWnjDdTfkj9un7sUN2fchk8eqyj72U31bbm+b59qGByVNW6p0E uV7KusQN6UOBv81PqrURZJc/J04xvg8lmu7JFmim+mF3yohncR8a/bBVYMdv glZFzCqn/O5DSo9G5mdTfldqsdjVzOpDlVXGhyeofph0+fdUbz4XHXSVYyl8 I6jvrVmpiwIXFeSmaox8JqhxKnYoZiUXmS8W+5qYT9DHe8Y7pndzkZmf4uKX bwm6kvJwID+Mi0RKPvG64gg6OcJS4L/gokf0iLDHTwiy0fvPSDmHi6IeXs3X iCRo48/2KJ8/XPRXP6mg6Q5BI9zV25FSP9ryOUPj/nmCurX9zrqt7ketCWW5 yi4E1XjWPord2o++Zn8UvOdMUJaYZ/+sQz+6lPms/58N1e8rSyMKE/qRQOTS 0aXUvOp27r4el9uPmJVret9pE2QdJ+ByvaQfRYTtW7ZiFUH/MXQNgNOP2KEx z18oEUSbfcPHq3hoyk7r6b9JPgqrvrsDZ/PQZK5O/rq3fCS8IHF9bDEPQbxn wrMkPvLYUbzI9zcPXbhj7c6J46NDn6aGt47zkEn0kja5+3y05NXZuIL/+OjL ygKTdic+yrq691/+Zz7S2kF7oijGR8venul+Ws1H5d94yi6zPBTJD/zl3cVH a641GT4Z5qFrToUJ+nMI2j95MTmiiYcMdq+zyN9JUEvrJ9upNzxUo7Iw+dMv gl4tMgt9Cjw04XQmrcV1AO373V7y2KofOUgNX/nkMYBmWgUzOMaUbgXXtj/x GUAS62T/W7y5H4XI36k/EDyAIvM8z25W6EfqvxJptakDKG3Ei72shYss/2NZ l/UPIMWEZjRsx0Vpkkdnc08PolL8ybDGtA/JFLC/R5wfRONf6xfX6fahq2fO hV+8NojMA+WisHofMvzmu2L9nUHEFViSYizUh5o8n+1PfTOINl+4Z6j+gYNE eptev2APop9hWXQDFQ5yzLc2Dzk+hML3vrl8tLkXrc+Vk5Z3G0KL/q4qDf/a i2jpjTXPLw+hn2e3iqWm9aL4uCM22UFDyOXI2ap713tR583jR+qShlDrC1sk vrQXOZp4uCiRIdRw8QF9iRMLOf6JCEq8PIz2ri2cOF3ZjZwGawsLg0aQCJev 2+Dcge6tfef2KmAMadyRs0rzqkW0wneb/K/9RaeOHzHist8iKU3TirbHE0in z8m0zqwE74w1eDEQNoV4gWpG+zMacWBpZcuNJ1MoqWhNVCS/EX8bPCLHeDmF 1ngM0PJWNWEjQ8/7ujlTqEvtxERCYhM24GRfvvFnCpk2vX879awZ62kvN5NR mkbTl41T3W614rUl80Y3JUyjbWI+678odmC3gYg1ZanTaF7LheCszR04TX7Z advcaZT5MnV5sFUHXu0CbddLppGdyk2/+Q86sKbU1e/fOdPIwv2P5QLBTrzs cN/Tw1ozqNl3FXtVRyeWJT+Nfd/NoDCn6xn9Id34cSg+ysEzKDVaIDgpqRvL bcjy2l86g1ymXIP3FVN89VGWesMMSrJJDjg03o0VhByVKydm0CJ9M7Cy7cHK suOjKltn0R7mgzu/VVlYDakmFBXPIrn2xluG0b34VcfCwlXls2j1Z7OiwYxe rOY/tyny9yySVpL97l/Si9W/cyXPsGbR+Yn+qsMjvTh8xeGC+cICcMwoUOmH GRtHZi/XzFouAOhznlXUXzaOLvkoKHRKAJw/Odw139KHB9ozrhIXATCZvW+4 dXcf3jHxarDpnADwvrDSpO378Miqhx1vrwjAVbeHFm43+vCesDOfjwdR5/tc nxwt6cM0OyW/stcC0CvYvk9zDxcf8JD+l5ssAEOevTs9j3Bx+gMR9xfpAkC7 sLYv05WLbYtGHLzeCcC0qC7vVzAX56qXg1aJANjURxiXl3PxmSFvgTCWAEzQ 1dUKjftxkdjFKz59AhDIX/7mmFU/llt+euA0XwDKtlWxeU79+JuNdfv2MQHw nbY8nna9H6vkaxWOzhEEbjqnvud9P64NbPM9uFwQFJYL9y1ZxsN6i7bNqhwT hGRRtTfePTy807b2vONJQbj7petByCAPWz45wXrhIghtmb9D/aZ5+Ix8cLna JUH4cOVM5rQMH0czmp6sChCEfSVH+LYGfPx3waXNmxMFQdXByDolko+Fd4uk XE0RBKn6j/zoOD6WvPdkcV6GIKyoMWg+nsTH6qJFc7d+EATlIOs7kfl8bD2X /nt7mSD4m+fPsezk47czie57+wXB40ZM+NblBBfq6/WEDAjCVc3fz6dXEfzT 69eB6hFBGEzY7By1geCuiVFkNS0IrC06/ce3Eyw9biBxWIIGZODDwoP2BCtv rPOLkaaBfxeLM+VMsOalU6MtTBqE+X/U8XYheNvwg2aHxTRIzpCQWniV4HOk Oen4WhrwVu+SfhhCsJfWOeXEDTSQSDpXKR9JcNBZoTDOZhp8lv9e7vWE4Fju iqsu22igmlN19k8CwUma+f2pRjQQjvwu/CuJ4NxT5g5kFw3UOv2+xKcTXNHr seO8BQ24O/ziW98T3KgmmpdtTYPqZMv3xvkE9zg/1Ro9RANLRcGOO58Jnur6 wrjiRIMjzZ9sXn8neGW7ZLf3RRpw8u/bra0neE+vSpHHFRrsvNeQsa2Jip+/ Ns7Niwb6fUrR2q0Ev50ytz3qT4Otd8WWfugiuE7o6H+Hgmhg0WOYb8Yi+K+o u9z+ezQ4QQvrLGQTrCcfWmsYTuXbWF9swiP4iMrzLP3HNOipOeDtQAi+rp4Z sjGGBpkL/72zHiQ4Xuuz65o4GtTalJ1fPUxwsU6VmcZLGtxznUruHiGYpdeh qZpIg0+bWo96jREsYjgoopBCg4hXLWEj41Q9TAV7pTNosPxLoP7ufwSbWUh9 FXtLg+LkIIeACYJdD6q+EH5PA6fI5InYSYJDHNb5TefRIK+qUTR6iuCsE9vs xzANjn1bHHJxmuBa13365AtVn/H422tmCB67dFSRXUKDRuGUsTKK5bzd/7X/ oAH9zfM641mC//P3+9Pwi8rn0/wVLyi2vRuaU11Dgys6t3ltFPuEPX/44w8N 2tS6l1LvmzguKtO9uIkGDkXTPyYoLor7vDe/jcrXpr6nnuLu11Wrc7tosMAy wv0RxXPTO8TSe2lwc/slt40Ua+QOcl5zaWD0609bDhWPSb5gaRyhgVDBli8M il2KpV5FDdNg1/BWBWsqn+Afqv5h4zRod33W40Hlm1G9zvHuJA0UzDaqXaH0 qG7YBv6zNBgpFGw5SOk10r5P2VtICJQXKYopUXoy2UenLs0TAk5pXmYBpfdm 4t7oKiYEEoZ61duoenhNh0Y6LBSCbTKNAZwhgp8Jx188KCsExlXblSWo+haK ZVlYKArBHk21jQup+gsrVEsYLhWCiU3bSUEfwWqqnf166kLgXVkU7kz5Z6fG UJnOSiG4X2r4pb+H4HsbpQPVtYXAdVrra0w7wWn6S5xVNglBqnXt068tBFca rt8uv0UIVmwfm/+rkWCZ/RazotuF4POMT+LNWoI3HnJsEdohBOsrFTq0qgg+ cPR83pSJEJzUfvrhYznBMW5hl/kW1P1UZA5c/EZwgUe8Va+1EJSu1VkeX0Rw u3eWdvshKv76iLiMAoKX3asmVY5CsLOiKNMtl+DUROmTOeeFYP8eoyyPlwT7 /8bbhC5T8drvtDSIpfxAO6u4z1MIjuywO8iJIljUtqSi/6YQxKknJ3wPJvg4 3UtnWYQQKL2PnanxIFhfbwX9fJQQWDKr3DzPUfmcqmPjp0JQvVr/2swpgr8U rY05/EoIyhdOXXlkS7CKRw/t4Tsh+Nn5bYIBBI/HhzW35wnBOdYBqSebqXnx C+VqFQpBVeIfwam1BHuviD5VVioEGTpS4ftUqfnRvKdSsFEI1u6t9DETIDh8 +/un56aEQMVhSuDOOz4+c875coGAMBTfdNlQlcrHBk+l94nPEYaC/mudIy/4 eHDMRThxgTBIhhg3Vz3g4z1JqmfalIXhieuRkC5nPhaRurt5zzZh0D1fXHFO jI/b9DdLxxgJg9P7x/a3Znk493QPl7NLGKpdGjZcHuZh52IUe8tCGD6bPe0e auThossjc/KdhCFOsJ1jmsjDXq12NSsDhOFrQtbDUD0eHtmh/9T5jjAkX1fR +KLFwy6ZSidig4XhHfunZq0KDx/2b5qQfiQMMm66H8KFefg/zYNLJl5T57/I yQ0t68f/Llm6l34XhvfOw/dum/djjwWmdOcFc0BrdXVOnyEX8z00G55JzQGD f4JsTW0uPt4+/0U9Yw4M/hwoMFPlYuvs0o1mynMg3nIwSWe6D+scND6ivWYO ZLcsz3qWTT3/X25LFdw3B7iaRnFtCn3YXW+z6bPwOfBp2/pfb2vYWMA13PfB 4zmwe0F7TxFm4+DYgezrMXOgKCRk6H0yGyfR3ig5vZwDRxb1b7G7ycadpfJ8 9bdzwG7ptpygdWxsaTUZklkzB3qfH/jidbsXb3QtqCuWngscYcvBUxosPBFr 6MgNmQvJDyc3LlPvwlvH9cPWRcwFdQ+dprdiXdhvz6aiy1FzYXTEvXDNQCcW mV6xRDh+LuRY5/3oft+JGYfonUrZc8HV5PThvbs68VqZxqN7fs+FxCeL7AyO d2DnILejmfLz4Ime0cb5S9tw5bloh8vx80Dr/X/7fpz6g3V3LJlpeS4C//5c Lh8dxPi7kW4ixMwH1w2D4oU+BSghM0q3M1kU9AR9i5YL16PTk4c169NFoXfP oYt/ttajtUbKihXZorDs4wcH96v16FN9/NSHPFHwm2ciZMevRzWzyTj0hyi8 Vfy2asGfBiS4p8BoG1cULFrpJrEvmpBdX+e+OE0xeFIxWyCo0YYYS1edPvJG DN6d4qb3sTtRSNhd6zepYpDmnf3voXAXEqVxDUYyxeC4zUlbdZUuJNDxRvHO RzHYQRJ5YjZdqP+ZennODzEYMQr+WfqlCxUrLF27gC8GLsZHdMced6OL0gpj eevFwUC5+z/TdSxE/K52zt0kDlFGGvJTu1jo9GB9xb4t4jClyjV96MhCDpWP XvduF4c9JkX6Fx+ykFkw4+BCK3GwtpHaNj3MQktFpT6dviwOmrfXxyzM6EXV giI35D+Jg6UkSYtcyEH81Kgj5oXioFenfvSaBgfNP7RyS2CxOLyoMFcz0Ocg yNozMvJTHEp099z3Ps5BaY4RxytbxIFs/bb3+TsOuvtliWngrDjUd9xRum1J 7Z9u6cuMGiyAjuh8ecMrXOSw7tfAyh0L4KW/SIfvbS7ybHEodzRdAAs5erJP o7koS8c/oHL/AjDSCfT3/MRFKqyyv8nHFkBgrILNtxkumjI+0OIYsAC2b/gw cNO7H+WIXHhV+X0ByOvrFqg58RDLy49XUL4ALrEab9xx4yG5wQcbUqsWQP3D oMYqTx7yakgput2wADJCcxaKhfOQYRKr1YCzAMgpxZNqX3io2vSQbI6IBHSL SpeNKVL75cKTR16IS4B37dyzwWp8tHHD5YRQSQkIvGY6JLKOj6KVwrVd5STg 6cvjnq+M+Ogor3yvuoYE9Oj4Xrhxlo8GgrcFRe2QAIWc4bc576j9tJD5r0BT CThSd3nKo5CPLC8fYXrslYAdlsmhCt/56L2950sLGwmwPNB6U6SRj3zX5hSK nZAAwQfkpc8EH2W8/DJv4rQEdMg999hHI6hTrnoP25W6XuS09VxRgowFSXOx hwTQD0QvYcoTJFGt8c87QAK+/NuwrFyHIDDeBC53JOBr+qOYdD2Czn80CjwU LEHNq7d9F7YTVBfvyNgUKQGZQQz+c3OCnl6IWTeQIAHP01I6wk4RVNGbdKX1 jQT4v9plc9ONIAHbD/hnqgTEOt91t7pE0DHDut1vciSgMv2Z97PrBK1iSJ52 /CoBQymNdl8iCFqYnpeS8F0CviU312o+IWhi5wnCLpcA8b+dx13jCCr1Krjo VicBFbFbim8nEZTOPP0uq1ECsh8s9D+aTlBkBmNitFUCumiTOxhvqft1u/h6 9UpA3njxN8l8gkx95IowVwJMJi9cPvCZoPVyxcJCAxIQEPpD1usrFa+Z4p3b fyXgQcMvGZtyKr/s7+GR8+nQ4voy4HATQf67L/1pWECHqPmDujdaCXLpVVFY JE2HTz4lef4dBP2neCX2hQIdzLuCFy3qJUg1Z2knS5kOunLLx7M4BIns/bVM cykd0j88CFvWT+l5Qy0pYyUdCq4MCj0ZIChfqbp/eA0d5i39Uxs7RNDLXO81 mzbQQeCgq931EYLumq84f20zHRbaRzzRG6Pq01f7Nl+PDq8z9t+vHSfooP/1 cYFtdLCmNa79//dQUF71n6ERHWa33/B/NEGQ+vs/XoG76PAy/ldA0SRVf4ub uGw3HZTuuG78PkXQKFeLJmFBh5BXG8KSpwlqvtVouM+aDn96VKJOzRD0ZXFA YPghOgRfOWwiNEtQ0od1ZX+O0EGuRifhCsWh+1vEFZ3oYJem+eY7xVd4QXuP nKCDs0ir1RjF9oEbwp6foQNetih5hmJj1fbabjc65N1rTeykeHXeXVmNi3Tw oBvsjadYxmrToTNX6JD1OeSZPsWT/M6YNC86BE7rPXpLxdMZFNw2eJ0OnUc7 dedR/H3Jf0t0btGhvMooUIeKP+NTz7Ert+kQfcHqOqLye2Qd+jrvPh1+pGuo Lafy9xnQ65sJpUPTGoFrLEov5zvsVQaR1PXNRt43/xJktizc7VY0HR613Fs3 RemtXYCySp9R9Y0IfWw+SpDCAe6I2As6bHuu+/b6MEGCQ5Gb9r6mQ07dw4B7 gwSx7xpcC0umwyuol7pICMrFUbNyb+kg0VRuW9dH+eugkYHtezrsZear7mNT /hoe8I/9RIeUCOmk1z0EWajvFFX7SgdbvXVS7DaCdD8Pm536TgfX135jVc0E qRyOfZBSTofsOuOURw0EkeAxGe06OhxeR3ucW01Q/4By0epGOgRtj1Ld+4ug PosdbhqtdLDfb7O29AdB3czH3xex6MBtteMeLiao8Zmuj8gYHVbX/ANRqn/q BRxXCk3Q4UDlftvXVH/9drxTPz1NxXtTQ2l5MkEnH56N+keTBMaq/54UPSfI 0aZgmC8qCXK7HigG3CfoaJCFSb+4JIxbe7RqBBHk8IEVx5GQBKU8nkvKDYLs FOl7uqUlYXu3E836MkEH2uwTGxQkoR3mp2vbE7T7hKBdsaYkPM2c5668gqrH 44jsz6skYfFkeV6lKkEm31eIYi1JGJlx2XRMgaCdKy3efVgvCczu3FYtMYIM SLxU+n+S8H5RWtF+Lh9tvmz4LcpEEjr0LHmdCXy0KbFe6ZGZJMwNzvqXHEPN 7waXC+F7JCH7d8pH64d8pL0lQuWBhSQ0Mm/57rvOR1qzPdf8D0nC9bZ85ZYD fLQ0MHCN22lJEJ1sPGYlzEfn6zb4OLpIQmaV/02PfzxUuLzzp5WrJLS0Xlbx 5PPQkWK903rnJWFTqOKsVj0PRQsOvZx/TRJuNZy7ZpDEQ9Jetgovb0uCnbm1 wpJdPERzXzenIVESfL7/nmae70f7Clv3/0yi4keZGgVO/SiOfi8ep0iCgEXG fhOrfrQ1jYVeZUhCXfDqDqnN/ega98m1C+8lYaOvyVH7KS4acp47sKBUEmyy Ym4IXOeizkNNjQa9khDhC9XFF/qQuL7NaweOJCg8L//42qEP6SyuueDDlYTl J6rkz+7uQ0FdZeIfiSTcEfMNjVXrQ2tcPm5d91cSnty4UJbwh4O8vKPiF8+X ghumqT0mGziIEWdzekpTCtzF6o9H1/einT01/3JcpWC+iJxdaXU38l4Z7Jl+ TgpGNI80FX7sRlnuO6cTz0tBX/LLZQnx3Uhx5pNAjIcU+M7Z4bHufDfiM1/N u+EjBSU/slMOS3aj8J1XGHuCpeDXzqbDYru6UHuy0jpWqhRoRx4wvJnSga6c dz7J5ElBI2uZ4e8bzWhP7hMTpoc0GH17dygpsxTxp057CY1Jwxr2jNjGmyn4 +R+/t64XFkJ7k/9ix5FqPHFS3+Hq5EI4GMrrTl/ZgU3yNOHS9EL4ESsWdM64 Az9ZIKfiPrsQUlrfrlQ52oH1sobaTgrJQGxFpphZZAf2mXxtf0BMBr777dhf M9uBhYKl7TcpysCzkPlHb//qxOLZvXaj/8mAtE+SaqdDN7ad81t/UE8GDGKM TPZd7capNkWLeFtlIJ2TvjsltBvvmYpp6TaQgYd6mreWF3XjECMLu1oTGdi0 NVZpyZIeLFP/yTb7kAw4j7jZr2ntwYumQw+7X5OB4rIbohNGvXhn5+4Pj7xk oFOWtivIrhdfLJkvW+AjA+2LRwMnL/bislC/atGbMsBbNhwd8qIXe6i573p5 Vwa0hA+qnZ/txZV7zTf9iZGBpvygL5OZbHwjXmKhPpYB23fmJpcF+3BqYNk5 p88ycNJ4JuACow/XuwRU3P4iA423BeL2rejDWptmbteVyIDDPQuxbPM+3PSD J3CuUgYkmwV3izzrwxtGf/LjO2Rg7pMtiznruZi1426ZiDADvlrHXxww7MeO pg4qy+cyAEnH1mVb9uOWPToe20QYcLFnIMnmWD+utWpTvSbOgFBxUWe42Y+L nLSvcmUYcOzgXAjH/fipb5N6xXIGKFccWrBpPQ/L3czw7lNnwO1nw+/+IR4O D7hVM1eTAS8K6iue7ObhO/fX+CItBnhPEWGfkzx85cnNuoyNDBifVR16H8PD lu9W3nq4gwG/H2/aMTXDw5UfBZrSdzHAdZMXO02Uj00Lfq/9acoAEYtdMsCk 9rNffZuFzRlw1UqhfnoVH6+tqdH2OMCAH7LSmT0H+FiceHYeOMUAVpqDum0S HwcNmW++dIYBzKTtHwaz+VhobHlw6FkGfIxZKe+cz8cTU790y9wZkLSdKd/z i4/ZostCt1xjwJVTQlM7h/n4i9pPpHyXARuSDnc80ibYJLjNhHmfATKpwtKB /xFcOTpkJfGAAb9Uc2ZsthHcWizvMhPGgBLTlsFnewj+63jicWs0A26cDr5f eIJgn7JrL+piGLApmsP9dJbgOeuD0yqeMUAgO6k2+gLB0oI5xQXxDBityNea 9CF4VSxt8FkSA+Cq7tnd4QRnzWVORaYwwHLzvACrKIJ1XVfMe5DGgA9XJ2a2 PiPYWN98kW8WA2zPH5vJeU1w+UsnjctvGbCzO81zewrBluKXtd1yGYCtvxln ZRB8tOnpLvuPDMisNsnR/kAw2yDT0uYTA4bDr5r///uka1Kx/d4CBuyq+qvx 32eCva5yL6EiBuROZd/4WkpwpKxu/OIyBkSJal86XUewkq9ZquxPBggPaEYG NBD8gmX/nl7BgFVM6YabzQRn5ARUzFYxoP6szgfVToI3LYpuGK+h/CYrsK+o m+AC/9Ru8psBGeN1s9t7Cf6xv3airYHSA9Oj+rgEW+T1zqlvYkDfN+JD5xNc v2RSsrKFAQbG9ecZAwTb35FQKm1jgPv2mvNTgwSzBlXVCzsYcP6LiHfxMMEu B3XWv+9iwOOfBQ/OjhI8XLhTP6OHAZtPHnwzPkbwNQ3bnYm9DPjv5aFSx78E C4S47Y/jMOBWuCM37R/BAeM3jjzmMsDeco1U8wTBC+wjT4XwGBA97+nmvkmC w7+9uRhEKH2aEhwapghW0Mr3vT5I5SviGPRmmuDnEZV3rgxTx6vnpR+aIVhj uivi3CgDzG5za/opTjs2HndynAEPbvuO2c8SrPNTNMXhHwOIviXzLcWftJXf HZik+llZTptDscGTdUXm0wx4nvXIbJbi7zSj8p2zDPALznek3hex+ekD9SDI hDarsEsVFNdVnenaLMSEpI96twIpttP15a+dwwQ1b8Ew1f9/z4wL+6cxjwnx Z7bHxFDxnBZ5Jaw6nwnKjjdf/qXi/0ELur9djAnWed2VSyleNX2KeXwBE9ae 0byjSeUbPG4aG0RngpnnuSpxSg8yuFojWYoJR7ymXpdR+pn30zPLFzIhy1+f fozSN4s1qDvAYEKw1k+RBkr/hR01RdJyTHCKPB25gqrPxaYcUx0FJnw7IPzR iqrf79+Pam2UmGAYknbJjqrvxsqrdteUmSBU8/oHEKrfivXd8BLq+Op95tF9 BB/Ei/92LGMC88tuf0k2wR8/CPoJqzOh4NB6O8cegr3TvobtWskE/X0yolFt VP8mvlZ0Wc2E8fA33d6UX+HF7ZfBa5hQHGPtvpXyM+3x7twabSbY9PLTLaoJ dgpbg8Z0mHBo+tOpVxUEF9+TKpXbzITRiyd7fpdRfvH73WCnx4Tmh13apUUE 93q+c7y+lQkCZ9vpdwsI3ukRxY0HJkwIMApXfCRY7IzddK8hpT8YZU5Q/Rli 2aNyfjcTWCTehRtD8OCekjfhe5nQixf53n9E9cOuN+vf7WOCbIl+mFgYwYyt Zw2nrJiwMzaj5kkAwdHqoycCjjDhi95q7wWuBE+q/hlIdGDCDm2f3SHUPLJV +nD1hyOVT94SK+JA8GIp77uSJ5jgkP5Vw2A/wS8nhNOj3ZjwYXSkYMtGal6N sjbluzPh+mNjtedaBB8npYVtF6j43X/M6VIjeEX3veplV5jw1LbDfIpJ+blc ZiztOhN0KzfKBYzy8bu4ZfpfQqnzj54fn0nm42Wzhp6fHzJh79xUjfp4Pg6x c/6AI5hAPQn6w6L4+KTCK51PUUy4eP2rRWoAHyuEq2vlPGfCgY/Rzzzs+dgr UHPx60wmLGpb3ekkRs3vHhO7hGwmNE0+qD0kwMdWhmeevMhhgunxLZPaozys JZgiG/eBCXZV9VL3W3m47dpqyajPTJgVvP+8KZ2HDVzXCt6tYkK/wsrIETMe Tvtpjm7XMGG/qg/1FsHDiivdvQN/U35OoTcytXl4pDfz380GJnBvJih/lePh hKPaQ14dTPCJY+8u6ezHIlYbu1wHKX+OTixzde/HFVv0vlpIyQLpYvklXeXi O+8vTRovlIUT6b23Ik9x8Q6d9HVbGLIgcbDQ/uRBLi7UWvJsqbwszImpr87f zMXZqiKXR1Rk4Qhae3bdWB9+PK9WI3KtLBhZfL+8y6UPO9WcudewVxYM154U zTLiYBXzhKLyfbIgdLH2wZX1HNz8s/Xv5/2yIEA/LqK+mEM9BvY5J9nIwqu6 KiW9v2y888OmrZ72smC9K6d55xs21ooVGlByk4UiPUWL6bls/Pf0k/0OwbJQ Y5N16nAmCz+49mKeb4gszL1i7n0sioXV7iTnPQ2ThdYl7ass/VjY6k3e0qZI WRhLZvzsNWfhrN6mYatYWaCV1s7t4vdgl2NK4aYZsvDTWvzNNrUe3G73tHZj tSwMbogWP3GzC5eax1otYMqBW3LCoi+TbdhRV+/163A5cCjKeo3cq/ApXvlo c6QcwO5E0c2rq/C55/aG0lFycNhB0VuRU4l959/s8HoqBy0v3ja/dKjEMQ3f FS1eyYFwo8v2iKcVuO6qTcjUOzmQ3S1bab23DJt8PH91X5McfHJQ+qAc8xnv cxUuDWiRgy+COV5ykp/xgSWRzE9tcrB71vTC9M1CfOLOh2y1bjl4vshnl+yf AuxPmW6yXw4W4vaoRxc+4oKJ+46vZuTgsbWYduerTPw1bXFmk4A8JImdiWq+ l4F/OmbOSgrJg2/E7YRbPWm4qaw2xnOePKxtWq2X4ZWE/0Yr/jGXlIfUkuMX Hr15jmf3pC4PkJaHS5cTjq/gPMNzhdDFPBl5MLar2DTjE41lzjhKqcnLQyPS tzJLCsWKi0fsDyvKw5WD7LI43zt4Sc2ttJBF8lCS/vxpUJIf1gyUnf66WB4M DTUqcpLc8botb0wnVeVhau39//9/t+B/65VIOw== "]]]], "Output", TaggingRules->{}, CellChangeTimes->{3.872481264917451*^9}, CellLabel->"Out[9]=", CellID->385674424,ExpressionUUID->"cfdf602d-44cd-43f3-b123-7e82d525b886"] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Applications", "\[NonBreakingSpace]", Cell["(2)", "ExampleCount",ExpressionUUID-> "a41e432e-967e-4761-8f53-62bdb531fffb"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellID->605265931,ExpressionUUID->"9f964cae-7b2c-4f04-9f42-b3bf9fe1a072"], Cell["\<\ Compare the internal structure of similar objects generated in different ways:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.850023213218058*^9, 3.850023248888915*^9}, {3.850023305963209*^9, 3.8500233201070337`*^9}, { 3.8500971937134247`*^9, 3.850097214280247*^9}, {3.850097458129777*^9, 3.850097460345991*^9}}, CellID->240169912,ExpressionUUID->"e750df9f-5d9b-4e58-83c2-ca132f923be1"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"ListPlot3D", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", "+", RowBox[{"y", "^", "2"}]}], "]"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "3"}], ",", "3", ",", "1"}], "}"}]}], "]"}], ",", RowBox[{"Mesh", "->", "None"}], ",", RowBox[{"Axes", "->", "False"}], ",", RowBox[{"Boxed", "->", "False"}]}], "]"}], ",", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Sin", "[", RowBox[{"x", "+", RowBox[{"y", "^", "2"}]}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"Mesh", "->", "None"}], ",", RowBox[{"Axes", "->", "False"}], ",", RowBox[{"Boxed", "->", "False"}], ",", RowBox[{"PlotPoints", "\[Rule]", RowBox[{"{", RowBox[{"7", ",", "5"}], "}"}]}], ",", RowBox[{"MaxRecursion", "->", "0"}]}], "]"}]}], "}"}]], "Input", TaggingRules->{}, CellChangeTimes->{ 3.850023416812991*^9, {3.8500970677441387`*^9, 3.8500970699441524`*^9}, { 3.8500971027303934`*^9, 3.8500971604249897`*^9}, {3.8500972412120204`*^9, 3.850097270999089*^9}, {3.850097360738238*^9, 3.8500974462568865`*^9}}, CellLabel->"In[10]:=", CellID->986226169,ExpressionUUID->"61e645ed-08ff-44bd-93de-6be063e0e163"], Cell[BoxData[ RowBox[{"{", RowBox[{ Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" 1:eJxTTMoPSmViYGBQBmJmBhj4YA+j3/Fw9oe8fQXlMzjAxN22XHz1TeItVJwD Lh59dVuuhcAhqLgAXHyd3J27O81f7IfwReDixjMffG1c/w4qLgEXP7BoQ9fH hxeh4jJwcQ6u3EMcbE/h7oO5C+qe/ajuZHCAun8/qjvh8gyo7oSrt0d1J9x8 e1R3Mjig+lcGLo7q3w/wcIKqR3MnB5r7OeDiqO4XcECVhwERdPVo7uRAc78M XBzV/R/g8YY9PAVwhCc8/BhQ+QI4wlMAR3gK4AhPARzhKeKAPX2KOGBPnyIO 2NOniAP29CnigD19ijhgT58iDrD0CQBLdLJo "], {{ {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ GrayLevel[1], 3], StyleBox[ GraphicsGroup3DBox[ Polygon3DBox[{{9, 1, 2}, {13, 5, 6}, {10, 2, 3}, {11, 3, 4}, {20, 12, 13}, {12, 4, 5}, {19, 11, 12}, {14, 6, 7}, {17, 9, 10}, {18, 10, 11}, {16, 8, 9}, {21, 13, 14}, {31, 23, 24}, {24, 16, 17}, { 25, 17, 18}, {26, 18, 19}, {23, 15, 16}, {27, 19, 20}, {30, 22, 23}, {28, 20, 21}, {32, 24, 25}, {33, 25, 26}, {34, 26, 27}, {35, 27, 28}, {1, 9, 8}, {5, 13, 12}, {6, 14, 13}, {3, 11, 10}, {4, 12, 11}, {8, 16, 15}, {11, 19, 18}, {12, 20, 19}, {9, 17, 16}, {10, 18, 17}, {2, 10, 9}, {13, 21, 20}, {16, 24, 23}, {20, 28, 27}, { 17, 25, 24}, {18, 26, 25}, {19, 27, 26}, {22, 30, 29}, {15, 23, 22}, {23, 31, 30}, {24, 32, 31}, {25, 33, 32}, {26, 34, 33}, {27, 35, 34}}]], Lighting->{{"Ambient", RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { "Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{0, 2, 2}]}, {"Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{2, 2, 2}]}, {"Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, {GrayLevel[0], Line3DBox[{2, 1, 8, 15, 22, 29, 30, 31, 32, 33, 34, 35, 28, 21, 14, 7, 6, 5, 4, 3, 2}]}}, VertexNormals->CompressedData[" 1:eJwBWQOm/CFib1JlAgAAACMAAAADAAAAoJGmwMs2ob+t0OQFZcXrP39JqtN0 ud8/AgJvj14hsz+TnQT+3M/mP3dOi+RGUOY/+RWItdSsxz/CgokiLGDQv9bW 5Gf+XO4/4Y9gWVlPxT/iwsPlbyHrv7IEyJtIHOA/Yq67XWZeor950CzDEZPo vwZfUonKduQ/YHPa4GMzx79kYa4OpOSmP7y2TvL5b+8/Ft5YCRlx3r8Jp5I/ DPvmP/AE3CUxQeA/QcyDmXDfxz+cIe5iDKXHP6flP3i34O4/PXpeliAsy7/G wq7etVbjP0Ofds3fkug/GZgJghhV2b8LggspemLgP8ql3TQWZeg/X9i69OPH 1L9QfRp6DCK1v6lCem6QJu4/JaLJ4IKlwz/wEFFDQmPiv8xwZfKOuek/0nXr BfBi2D+UST2kujXiv6njrwRjUec/a/0VSFg71z9dCpmbmJ2xvzApex5ivO0/ JQbvN5152z/PIm16nReMP69o9a/b5ew/CaPcBMnYrT+DCXkaDFLMvz6wFYmv Ju8/2tjIWMSl3b+K2FtNs969v9grEsjPHOw/n6vlHMY/4r/TIQBkdcyzPyJT RB5nK+o/r4JYhhjpwr+S5xfqJijNP7iaxtJJzO4/tbNGEYL92T8/4klDKYnC P3Vd90CA3+w/wr8Ne8q/4z8fGKZ8ZenIvwxCHkR4Zeg/4+FAjxdOrb94HH8d XxLhv57raALzAOs/ASqnHl1DuL+S6AZAHS3TvwOwAQr3YO4/GUGdPfX41r8s /Lqt8x3Dv5a/hQeNe+0/30KC1bEO2L/JsOFHaVTJPykhHBcZ+Ow/LEARY1vI oj+eTvn/yqPTP9FyPcHybu4/vkv2roJX1T8Dj5GwUErKP58bqMSXce0/6CqL g26F5D8kO9Ww+8bCP8TZ9nXGGeg/oZGmwMs2ob+t0OQFZcXrv4FJqtN0ud8/ 8SVLAAIVuT/gHpQAMafrv/d5Kxz0lt8/tX18rV2qxT+ZaxHrRyTdv/JzDGt3 +Os/VqJ9hefbwz9tgnLJHqnkPx9NZBBA7ec//bvbQRkAtL+lZPaviMbrP/Ru FifQYt8/ZDzzqYQmxL9duUVDXyvjP2PgtZlwH+k/etOvuo4Fw7+UqIZ7aj7V v1UrJaEJz+0/EKq49g== "]], {}, {{}, {}}}, BoxRatios->{1, 1, 0.4}, Boxed->False, DisplayFunction->Identity, FaceGridsStyle->Automatic, Method->{"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> "Globe"}, PlotRange->{Full, Full, All}, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks->{Automatic, Automatic, Automatic}], ",", Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" 1:eJxTTMoPSmViYGBQBmJmIP7ldKLy/3/2A19bJ3z+9////jm3LmgEvn1l/4OZ 2/c/kA8TZ7XtuvxT4i1U/D1cXM2e5WGYwCF7BiiAiRv810raYv5iP1S9PUzc afXpzpb176Di/+Hiv/89C2V5dHE/1D0OMPHCkHW3GNie2qO68/3+D9svvvom 8XY/qjvf7//zaOf7kLev9qO68/1+vX/yX+bFLduH6s73+5tzv+UEw/0Lc+f7 /ezeW0V+wP37Hy6+9hyHqxvQv6jufL+/cB+zwnagf2HuhNnz4s2W3Q4Ch+Du hInP6Dhc/x3u/vdw8St6EXog9zPgADB3oqmHuxPNfLg70dyDHp72OMLTHkd4 2uMIT3sc4WmPIzztcYSnPXp4QtODPY70aY8jfdrjSJ/2ONKnPY70aY8jfdrD 0icAC5Lf7w== "], {{ {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ GrayLevel[1], 3], StyleBox[GraphicsGroup3DBox[ TagBox[Polygon3DBox[{{9, 1, 2}, {13, 5, 6}, {10, 2, 3}, {11, 3, 4}, {20, 12, 13}, {12, 4, 5}, {19, 11, 12}, {14, 6, 7}, {17, 9, 10}, {18, 10, 11}, {16, 8, 9}, {21, 13, 14}, {31, 23, 24}, {24, 16, 17}, {25, 17, 18}, {26, 18, 19}, {23, 15, 16}, {27, 19, 20}, {30, 22, 23}, {28, 20, 21}, {32, 24, 25}, {33, 25, 26}, {34, 26, 27}, {35, 27, 28}, {1, 9, 8}, {5, 13, 12}, {6, 14, 13}, {3, 11, 10}, {4, 12, 11}, {8, 16, 15}, {11, 19, 18}, {12, 20, 19}, { 9, 17, 16}, {10, 18, 17}, {2, 10, 9}, {13, 21, 20}, {16, 24, 23}, {20, 28, 27}, {17, 25, 24}, {18, 26, 25}, {19, 27, 26}, {22, 30, 29}, {15, 23, 22}, {23, 31, 30}, {24, 32, 31}, {25, 33, 32}, {26, 34, 33}, {27, 35, 34}}], Annotation[#, "Charting`Private`Tag$8556#1"]& ]], Lighting->{{"Ambient", RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { "Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{0, 2, 2}]}, {"Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{2, 2, 2}]}, {"Directional", RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, {GrayLevel[0], Line3DBox[{2, 1, 8, 15, 22, 29, 30, 31, 32, 33, 34, 35, 28, 21, 14, 7, 6, 5, 4, 3, 2}]}}, VertexNormals->CompressedData[" 1:eJxTTMoPSmViYGBQBmJmIFZk4lmWF3Rmf93Psh25QW/s1WOloieb3rL3nRWn GHnplP2z+niHiEuv9qe8LDD7I/PA3noH90Jl9XP2Io+lliipv9uv4uOYrlN6 zn6XoKowm/RZe5mov3Ks0m/3r/nksHaK8zX7g+lmsnkzju+/OMs9PHfGc3vu ipR9G04/sb864dTlZMlz+18J+l5Pknxnn9qews4Zed6eX+6wTG/v2f3ta26p 9PS+tf+hkN0+aeZl+yLP7LWZ9ZfthTzucGbWP97f++1Ipm7uc3srSwa9Yp5r +4NUuUuLeJ7Zu7jnnchOf2K/L0iLaZ/Crf3GYn/V9iq8sleMBPPtP7H4ppUA 1Z97Fr62GKiel3m6UhZQ/fIXK9alA81n+SHJnQ4038NUtVYfaL7+X/vLhaK3 7DnbCn8UiL7av5D3v/2niFv2k6bOzrCcf90+/lTxIov5z/cbzPynelTwkT1r /heTrOZn9gxQcDDfRnzt3mf202Tca65MuwEX/3T7mY5d91v7l3t/5Znn3NsP E1eTqHvmqv7G/ox1fdq8Bc/g4lA+TvW4zMflHrTwtMcRnvtxhOd+HOG5H0d4 2uMIT3sc4WkPC0+09LkfR/q0x5E+7XGkT3sc6XM/jvS5H0f63A9LnwAfYHdv "]], {}}, AxesLabel->{None, None, None}, AxesOrigin->{Automatic, Automatic, Automatic}, BoxRatios->{1, 1, 0.4}, Boxed->False, DisplayFunction->Identity, FaceGrids->None, FaceGridsStyle->Automatic, Method->{"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> "Globe"}, PlotRange->{{-3, 3}, {-2, 2}, {-0.9589255038566551, 0.9092988139763355}}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, Ticks->{Automatic, Automatic, Automatic}]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.850023355423482*^9, 3.8500234176775103`*^9, {3.850033340190037*^9, 3.8500333492122326`*^9}, 3.850033413650456*^9, 3.8500345646144013`*^9, 3.85003461387134*^9, 3.8500458589570045`*^9, 3.8500487893475113`*^9, 3.850049282464654*^9, 3.850050098561612*^9, 3.8500505684644036`*^9, 3.8500509266859856`*^9, {3.850097055104874*^9, 3.8500970747453127`*^9}, { 3.8500971077352095`*^9, 3.850097127379448*^9}, 3.8500971607839794`*^9, { 3.8500972173392982`*^9, 3.850097272019432*^9}, 3.850097386031853*^9, { 3.8500974183992844`*^9, 3.8500974731673183`*^9}, 3.8501056288135223`*^9, 3.850264291113587*^9, 3.8530595726210203`*^9, 3.853059976625763*^9, 3.853060181780726*^9, 3.85306021764417*^9, 3.8530608206639624`*^9, 3.8724812717279506`*^9}, CellLabel->"Out[10]=", CellID->634781433,ExpressionUUID->"e1a7390d-4d33-43cb-a8c4-54602938c21a"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "/@", "%"}]], "Input", TaggingRules->{}, CellChangeTimes->{ 3.850023416812991*^9, {3.8500970677441387`*^9, 3.8500970699441524`*^9}, { 3.8500971027303934`*^9, 3.8500971604249897`*^9}, {3.8500972412120204`*^9, 3.850097270999089*^9}, {3.850097360738238*^9, 3.8500974462568865`*^9}}, CellLabel->"In[11]:=", CellID->36506283,ExpressionUUID->"01bf84bf-333a-4cd1-90b7-1f4dc74799e1"], Cell[BoxData[ RowBox[{"{", RowBox[{ StyleBox[ RowBox[{ StyleBox["Graphics3D", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["GraphicsComplex", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1.`", ",", "1.`", ",", "0.8414709848078965`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "34", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJxTTMoPSmViYGBQAmJmBjhwgFAf7N22XHz1TeKtPYTPARePvrot10LgEFRc AC6+Tu7O3Z3mL/ZD+CJwceOZD742rn8HFZeAix9YtKHr48OLUHEZuDgHV+4h Dran9jA+zF1Q9+xHdSeDwzsezv6Qt6/2o7oTLs+A6k64entUd8LNt0d1J4MD qn9l4OKo/v0ADyeoejR3cqC5nwMujup+AQdUeRgQQVeP5k4ONPfLwMVR3f8B Hm/Yw1MAR3jCw48BlS+AIzwFcISnAI7wFMARniJo5sPcKeKAPX2KOGBPnyIO 2NOniAP29CnigD19ijjA0icAqtysDQ== "]]]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{ StyleBox["EdgeForm", FrontFaceColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], BackFaceColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], FontWeight->Bold, FontColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], $CellContext`LineColor -> RGBColor[0., 0.25098039215686274`, 0.5019607843137255], $CellContext`GraphicsColor -> RGBColor[0., 0.25098039215686274`, 0.5019607843137255]], "[", "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{ StyleBox["Specularity", FrontFaceColor->RGBColor[0, Rational[2, 3], 0], BackFaceColor->RGBColor[0, Rational[2, 3], 0], FontWeight->Bold, FontColor->RGBColor[0, Rational[2, 3], 0], $CellContext`LineColor -> RGBColor[0, Rational[2, 3], 0], $CellContext`GraphicsColor -> RGBColor[0, Rational[2, 3], 0]], "[", RowBox[{ TemplateBox[<|"color" -> GrayLevel[1]|>, "GrayLevelColorSwatchTemplate"], ",", "3"}], "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.880722, 0.611041, 0.142051]|>, "RGBColorSwatchTemplate"], ",", RowBox[{ StyleBox["Lighting", FrontFaceColor->RGBColor[0, Rational[2, 3], 0], BackFaceColor->RGBColor[0, Rational[2, 3], 0], FontWeight->Bold, FontColor->RGBColor[0, Rational[2, 3], 0], $CellContext`LineColor -> RGBColor[0, Rational[2, 3], 0], $CellContext`GraphicsColor -> RGBColor[0, Rational[2, 3], 0]], "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", TemplateBox[<| "color" -> RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]|>, "RGBColorSwatchTemplate"]}], "}"}], ",", RowBox[{"{", RowBox[{"\"\\"", ",", TemplateBox[<| "color" -> RGBColor[ 0.2642166, 0.18331229999999998`, 0.04261530000000001]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"ImageScaled", "[", RowBox[{"{", RowBox[{"0", ",", "2", ",", "2"}], "}"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"\"\\"", ",", TemplateBox[<| "color" -> RGBColor[ 0.2642166, 0.18331229999999998`, 0.04261530000000001]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"ImageScaled", "[", RowBox[{"{", RowBox[{"2", ",", "2", ",", "2"}], "}"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"\"\\"", ",", TemplateBox[<| "color" -> RGBColor[ 0.2642166, 0.18331229999999998`, 0.04261530000000001]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"ImageScaled", "[", RowBox[{"{", RowBox[{"2", ",", "0", ",", "2"}], "}"}], "]"}]}], "}"}]}], "}"}]}]}], "]"}], ",", RowBox[{ StyleBox["GraphicsGroup", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ StyleBox["Polygon", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"9", ",", "1", ",", "2"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "47", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{13, 5, 6}, {10, 2, 3}, {11, 3, 4}, {20, 12, 13}, {12, 4, 5}, {19, 11, 12}, {14, 6, 7}, {17, 9, 10}, { 18, 10, 11}, {16, 8, 9}, {21, 13, 14}, {31, 23, 24}, {24, 16, 17}, {25, 17, 18}, {26, 18, 19}, {23, 15, 16}, {27, 19, 20}, {30, 22, 23}, {28, 20, 21}, {32, 24, 25}, {33, 25, 26}, {34, 26, 27}, {35, 27, 28}, {1, 9, 8}, {5, 13, 12}, {6, 14, 13}, {3, 11, 10}, {4, 12, 11}, {8, 16, 15}, { 11, 19, 18}, {12, 20, 19}, {9, 17, 16}, {10, 18, 17}, {2, 10, 9}, {13, 21, 20}, {16, 24, 23}, {20, 28, 27}, {17, 25, 24}, {18, 26, 25}, {19, 27, 26}, {22, 30, 29}, {15, 23, 22}, {23, 31, 30}, {24, 32, 31}, {25, 33, 32}, {26, 34, 33}, {27, 35, 34}}]]}], "}"}], "]"}], "}"}], "]"}]}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"{", RowBox[{ TemplateBox[<|"color" -> GrayLevel[0]|>, "GrayLevelColorSwatchTemplate"], ",", RowBox[{ StyleBox["Line", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"2", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "20", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {1, 8, 15, 22, 29, 30, 31, 32, 33, 34, 35, 28, 21, 14, 7, 6, 5, 4, 3, 2}]]}], "}"}], "]"}]}], "}"}], "}"}]}], "}"}], ",", RowBox[{ StyleBox["VertexNormals", FrontFaceColor->RGBColor[0, Rational[2, 3], 0], BackFaceColor->RGBColor[0, Rational[2, 3], 0], FontWeight->Bold, FontColor->RGBColor[0, Rational[2, 3], 0], $CellContext`LineColor -> RGBColor[0, Rational[2, 3], 0], $CellContext`GraphicsColor -> RGBColor[0, Rational[2, 3], 0]], "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "0.033621184603620735`"}], ",", "0.8678460230935535`", ",", "0.49569435758998986`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "34", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJwBQQO+/CFib1JlAgAAACIAAAADAAAAAgJvj14hsz+TnQT+3M/mP3dOi+RG UOY/+RWItdSsxz/CgokiLGDQv9bW5Gf+XO4/4Y9gWVlPxT/iwsPlbyHrv7IE yJtIHOA/Yq67XWZeor950CzDEZPovwZfUonKduQ/YHPa4GMzx79kYa4OpOSm P7y2TvL5b+8/Ft5YCRlx3r8Jp5I/DPvmP/AE3CUxQeA/QcyDmXDfxz+cIe5i DKXHP6flP3i34O4/PXpeliAsy7/Gwq7etVbjP0Ofds3fkug/GZgJghhV2b8L ggspemLgP8ql3TQWZeg/X9i69OPH1L9QfRp6DCK1v6lCem6QJu4/JaLJ4IKl wz/wEFFDQmPiv8xwZfKOuek/0nXrBfBi2D+UST2kujXiv6njrwRjUec/a/0V SFg71z9dCpmbmJ2xvzApex5ivO0/JQbvN5152z/PIm16nReMP69o9a/b5ew/ CaPcBMnYrT+DCXkaDFLMvz6wFYmvJu8/2tjIWMSl3b+K2FtNs969v9grEsjP HOw/n6vlHMY/4r/TIQBkdcyzPyJTRB5nK+o/r4JYhhjpwr+S5xfqJijNP7ia xtJJzO4/tbNGEYL92T8/4klDKYnCP3Vd90CA3+w/wr8Ne8q/4z8fGKZ8ZenI vwxCHkR4Zeg/4+FAjxdOrb94HH8dXxLhv57raALzAOs/ASqnHl1DuL+S6AZA HS3TvwOwAQr3YO4/GUGdPfX41r8s/Lqt8x3Dv5a/hQeNe+0/30KC1bEO2L/J sOFHaVTJPykhHBcZ+Ow/LEARY1vIoj+eTvn/yqPTP9FyPcHybu4/vkv2roJX 1T8Dj5GwUErKP58bqMSXce0/6CqLg26F5D8kO9Ww+8bCP8TZ9nXGGeg/oZGm wMs2ob+t0OQFZcXrv4FJqtN0ud8/8SVLAAIVuT/gHpQAMafrv/d5Kxz0lt8/ tX18rV2qxT+ZaxHrRyTdv/JzDGt3+Os/VqJ9hefbwz9tgnLJHqnkPx9NZBBA 7ec//bvbQRkAtL+lZPaviMbrP/RuFifQYt8/ZDzzqYQmxL9duUVDXyvjP2Pg tZlwH+k/etOvuo4Fw7+UqIZ7aj7Vv1UrJaEJz+0/tlyqsw== "]]]}], "}"}]}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Boxed", "\[Rule]", "False"}], ",", RowBox[{"BoxRatios", "\[Rule]", RowBox[{"{", RowBox[{"1", ",", "1", ",", "0.4`"}], "}"}]}], ",", RowBox[{"DisplayFunction", "\[Rule]", "Identity"}], ",", RowBox[{"FaceGridsStyle", "\[Rule]", "Automatic"}], ",", RowBox[{"Method", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Directive", "[", TemplateBox[<|"color" -> GrayLevel[0.3]|>, "GrayLevelColorSwatchTemplate"], "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "1.2`"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", "\[Rule]", "2"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", "\[Rule]", "2"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}]}], "}"}]}]}], "}"}]}]}], "}"}]}]}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}]}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"Full", ",", "Full", ",", "All"}], "}"}]}], ",", RowBox[{"PlotRangePadding", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.02`", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.02`", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.02`", "]"}]}], "}"}]}], "}"}]}], ",", RowBox[{"Ticks", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic", ",", "Automatic"}], "}"}]}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3], ",", StyleBox[ RowBox[{ StyleBox["Graphics3D", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["GraphicsComplex", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "2.999999`"}], ",", RowBox[{"-", "1.999999`"}], ",", "0.8414693638977329`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "34", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJxTTMoPSmViYGBQAmJmIP7BzO37/////V9bJ3z+B6RZbbsu/5R4aw8Rfw8X V7NneRgmcMieAQpg4gb/tZK2mL/YD1VvDxN3Wn26s2X9O6j4f7j473/PQlke Xdz/y+lE5f//7A4w8cKQdbcY2J7aQ8UPQMTf7/+w/eKrbxJv96O68/3+P492 vg95+2o/qjvf79f7J/9lXtyyfajufL+/OfdbTvDbV/ao7ny/n917q8gPuH// w8XXnuNwdQP6F9Wd7/cX7mNW2A70L8ydMHtevNmy20HgENydMPEZHYfrv8Pd /x4ufkUvQg/kfgYcAOZONPVwd6KZD3cnmnvQw9MeR3ja4whPexzhaY8jPO1x hKc9jvC0Rw9PaHqwn3PrgkYgwr+wdGiPI33a40if9jjSpz2O9GmPI33aw9In AG+Xzx8= "]]]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{ StyleBox["EdgeForm", FrontFaceColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], BackFaceColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], FontWeight->Bold, FontColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], $CellContext`LineColor -> RGBColor[0., 0.25098039215686274`, 0.5019607843137255], $CellContext`GraphicsColor -> RGBColor[0., 0.25098039215686274`, 0.5019607843137255]], "[", "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{ StyleBox["Specularity", FrontFaceColor->RGBColor[0, Rational[2, 3], 0], BackFaceColor->RGBColor[0, Rational[2, 3], 0], FontWeight->Bold, FontColor->RGBColor[0, Rational[2, 3], 0], $CellContext`LineColor -> RGBColor[0, Rational[2, 3], 0], $CellContext`GraphicsColor -> RGBColor[0, Rational[2, 3], 0]], "[", RowBox[{ TemplateBox[<|"color" -> GrayLevel[1]|>, "GrayLevelColorSwatchTemplate"], ",", "3"}], "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.880722, 0.611041, 0.142051]|>, "RGBColorSwatchTemplate"], ",", RowBox[{ StyleBox["Lighting", FrontFaceColor->RGBColor[0, Rational[2, 3], 0], BackFaceColor->RGBColor[0, Rational[2, 3], 0], FontWeight->Bold, FontColor->RGBColor[0, Rational[2, 3], 0], $CellContext`LineColor -> RGBColor[0, Rational[2, 3], 0], $CellContext`GraphicsColor -> RGBColor[0, Rational[2, 3], 0]], "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", TemplateBox[<| "color" -> RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]|>, "RGBColorSwatchTemplate"]}], "}"}], ",", RowBox[{"{", RowBox[{"\"\\"", ",", TemplateBox[<| "color" -> RGBColor[ 0.2642166, 0.18331229999999998`, 0.04261530000000001]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"ImageScaled", "[", RowBox[{"{", RowBox[{"0", ",", "2", ",", "2"}], "}"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"\"\\"", ",", TemplateBox[<| "color" -> RGBColor[ 0.2642166, 0.18331229999999998`, 0.04261530000000001]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"ImageScaled", "[", RowBox[{"{", RowBox[{"2", ",", "2", ",", "2"}], "}"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"\"\\"", ",", TemplateBox[<| "color" -> RGBColor[ 0.2642166, 0.18331229999999998`, 0.04261530000000001]|>, "RGBColorSwatchTemplate"], ",", RowBox[{"ImageScaled", "[", RowBox[{"{", RowBox[{"2", ",", "0", ",", "2"}], "}"}], "]"}]}], "}"}]}], "}"}]}]}], "]"}], ",", RowBox[{ StyleBox["GraphicsGroup", FontWeight->Bold], "[", RowBox[{ StyleBox["Annotation", FrontFaceColor->RGBColor[ Rational[2, 3], 0, 0], BackFaceColor->RGBColor[ Rational[2, 3], 0, 0], FontWeight->Bold, FontColor->RGBColor[ Rational[2, 3], 0, 0], $CellContext`LineColor -> RGBColor[ Rational[2, 3], 0, 0], $CellContext`GraphicsColor -> RGBColor[ Rational[2, 3], 0, 0]], "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["Polygon", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"9", ",", "1", ",", "2"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "47", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{13, 5, 6}, {10, 2, 3}, {11, 3, 4}, {20, 12, 13}, {12, 4, 5}, {19, 11, 12}, {14, 6, 7}, {17, 9, 10}, { 18, 10, 11}, {16, 8, 9}, {21, 13, 14}, {31, 23, 24}, {24, 16, 17}, {25, 17, 18}, {26, 18, 19}, {23, 15, 16}, {27, 19, 20}, {30, 22, 23}, {28, 20, 21}, {32, 24, 25}, {33, 25, 26}, {34, 26, 27}, {35, 27, 28}, {1, 9, 8}, {5, 13, 12}, {6, 14, 13}, {3, 11, 10}, {4, 12, 11}, {8, 16, 15}, { 11, 19, 18}, {12, 20, 19}, {9, 17, 16}, {10, 18, 17}, {2, 10, 9}, {13, 21, 20}, {16, 24, 23}, {20, 28, 27}, {17, 25, 24}, {18, 26, 25}, {19, 27, 26}, {22, 30, 29}, {15, 23, 22}, {23, 31, 30}, {24, 32, 31}, {25, 33, 32}, {26, 34, 33}, {27, 35, 34}}]]}], "}"}], "]"}], "}"}], ",", "\"\\""}], "]"}], "]"}]}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"{", RowBox[{ TemplateBox[<|"color" -> GrayLevel[0]|>, "GrayLevelColorSwatchTemplate"], ",", RowBox[{ StyleBox["Line", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"2", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "20", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {1, 8, 15, 22, 29, 30, 31, 32, 33, 34, 35, 28, 21, 14, 7, 6, 5, 4, 3, 2}]]}], "}"}], "]"}]}], "}"}], "}"}]}], "}"}], ",", RowBox[{ StyleBox["VertexNormals", FrontFaceColor->RGBColor[0, Rational[2, 3], 0], BackFaceColor->RGBColor[0, Rational[2, 3], 0], FontWeight->Bold, FontColor->RGBColor[0, Rational[2, 3], 0], $CellContext`LineColor -> RGBColor[0, Rational[2, 3], 0], $CellContext`GraphicsColor -> RGBColor[0, Rational[2, 3], 0]], "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "0.22126563174971728`"}], ",", "0.8850620844676056`", ",", "0.40951999565864344`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "34", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJxTTMoPSmViYGBQAmJmIPadFacYeemU/bP6eIeIS6/2p7wsMPsj88Deegf3 QmX1c/Yij6WWKKm/26/i45iuU3rOfpegqjCb9Fl7mai/cqzSb/ev+eSwdorz NfuD6WayeTOO7784yz08d8Zze+6KlH0bTj+xvzrh1OVkyXP7Xwn6Xk+SfGef 2p7Czhl53p5f7rBMb+/Z/e1rbqn09L61/6GQ3T5p5mX7Is/stZn1l+2FPO5w ZtY/3t/77Uimbu5zeytLBr1inmv7g1S5S4t4ntm7uOedyE5/Yr8vSItpn8Kt /cZif9X2KryyV4wE8+0/sfimlQDVn3sWvrYYqJ6XebpSFlD98hcr1qUDzWf5 IcmdDjTfw1S1Vh9ovv5f+8uForfsOdsKfxSIvtq/kPe//aeIW/aTps7OsJx/ 3T7+VPEii/nP9xvM/Kd6VPCRPWv+F5Os5mf2DFBwMN9GfO3eZ/bTZNxrrky7 ARf/dPuZjl33W/uXe3/lmefc2w8TV5Ooe+aq/sb+jHV92rwFz+DiUD5O9bjM x+UetPC0xxGe+3GE534c4bkfR3ja4whPexzhaQ8LT0UmnmV5QWf21/0s25Eb 9Ga/eqxU9GTTW/Zo6dMeR/q0x5E+7XGkz/040ud+HOlzPyx9AgDYwmzl "]]]}], "}"}]}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"None", ",", "None", ",", "None"}], "}"}]}], ",", RowBox[{"AxesOrigin", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic", ",", "Automatic"}], "}"}]}], ",", RowBox[{"Boxed", "\[Rule]", "False"}], ",", RowBox[{"BoxRatios", "\[Rule]", RowBox[{"{", RowBox[{"1", ",", "1", ",", "0.4`"}], "}"}]}], ",", RowBox[{"DisplayFunction", "\[Rule]", "Identity"}], ",", RowBox[{"FaceGrids", "\[Rule]", "None"}], ",", RowBox[{"FaceGridsStyle", "\[Rule]", "Automatic"}], ",", RowBox[{"Method", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Directive", "[", TemplateBox[<|"color" -> GrayLevel[0.3]|>, "GrayLevelColorSwatchTemplate"], "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "1.2`"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"True", ",", "False"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", "\[Rule]", "2"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", "\[Rule]", "2"}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}]}], "}"}]}]}], "}"}]}]}], "}"}]}]}], "}"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}]}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.9589255038566551`"}], ",", "0.9092988139763355`"}], "}"}]}], "}"}]}], ",", RowBox[{"PlotRangePadding", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.02`", "]"}]}], "}"}]}], ",", RowBox[{"Ticks", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic", ",", "Automatic"}], "}"}]}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.850023355423482*^9, 3.8500234176775103`*^9, {3.850033340190037*^9, 3.8500333492122326`*^9}, 3.850033413650456*^9, 3.8500345646144013`*^9, 3.85003461387134*^9, 3.8500458589570045`*^9, 3.8500487893475113`*^9, 3.850049282464654*^9, 3.850050098561612*^9, 3.8500505684644036`*^9, 3.8500509266859856`*^9, {3.850097055104874*^9, 3.8500970747453127`*^9}, { 3.8500971077352095`*^9, 3.850097127379448*^9}, 3.8500971607839794`*^9, { 3.8500972173392982`*^9, 3.850097272019432*^9}, 3.850097386031853*^9, { 3.8500974183992844`*^9, 3.8500974731673183`*^9}, 3.8501056288135223`*^9, 3.850264291113587*^9, 3.8530595726210203`*^9, 3.853059976625763*^9, 3.853060181780726*^9, 3.85306021768958*^9, 3.853060821725665*^9, 3.8724812744527645`*^9}, CellLabel->"Out[11]=", CellID->837530436,ExpressionUUID->"5481cf72-311d-4185-925e-bf64678142b7"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell[ "\t", "ExampleDelimiter",ExpressionUUID-> "4e45da4c-ad63-42df-98b6-912b0c6a0114"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->14107563,ExpressionUUID->"17381cf7-e682-4dff-aa4a-bb5c9293c990"], Cell[TextData[{ "Check the result of applying ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Normal", "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/Normal", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "08e3b7c0-e06d-44fc-b50c-c3db76419fc5"], " to a graphics object:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.850023213218058*^9, 3.850023248888915*^9}, {3.850023305963209*^9, 3.8500233201070337`*^9}, { 3.850024200093667*^9, 3.850024229384981*^9}, {3.850918202645668*^9, 3.850918202645726*^9}}, CellID->231347730,ExpressionUUID->"9894dca0-878e-424a-b4ec-78e264ac7283"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"pl", "=", RowBox[{"PointValuePlot", "[", RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"RandomReal", "[", RowBox[{"10", ",", "2"}], "]"}], "\[Rule]", RowBox[{"RandomReal", "[", "]"}]}], ",", "5"}], "]"}], ",", RowBox[{"ColorFunction", "->", "\"\\""}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"plNormalized", "=", RowBox[{"Normal", "@", "pl"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "@", "pl"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.850024184196257*^9, 3.850024184197257*^9}, { 3.8500242515839043`*^9, 3.8500242796000776`*^9}, {3.8500243346000557`*^9, 3.8500243551733403`*^9}, 3.8500243974856467`*^9, {3.8500244858408685`*^9, 3.850024607751212*^9}, {3.850025042575591*^9, 3.8500250622322564`*^9}, 3.850025132373006*^9, {3.85002532317165*^9, 3.850025360229088*^9}, { 3.872686663086371*^9, 3.872686664999308*^9}}, CellLabel->"In[32]:=", CellID->859130981,ExpressionUUID->"997bd4e5-ee6c-472b-91f6-e1a01119da0d"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["Graphics", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["GraphicsComplex", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"6.532792014745688`", ",", "6.704595625701298`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "9", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{6.002528473018472, 0.9366147397150026}, { 7.647349378185755, 6.2794457329389175`}, {3.261451523443778, 4.277303341191995}, {7.178385824545014, 3.882659969891396}, { 6.532792014745688, 6.704595625701298}, {6.002528473018472, 0.9366147397150026}, {7.647349378185755, 6.2794457329389175`}, { 3.261451523443778, 4.277303341191995}, {7.178385824545014, 3.882659969891396}}]]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ TemplateBox[<|"color" -> Hue[0.67, 0.6, 0.6]|>, "HueColorSwatchTemplate"], ",", RowBox[{"AbsolutePointSize", "[", "7", "]"}]}], "]"}], ",", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{"6", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "4", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, {7, 8, 9, 10}]]}], "}"}], ",", RowBox[{ StyleBox["VertexColors", FrontFaceColor->RGBColor[0, Rational[2, 3], 0], BackFaceColor->RGBColor[0, Rational[2, 3], 0], FontWeight->Bold, FontColor->RGBColor[0, Rational[2, 3], 0], $CellContext`LineColor -> RGBColor[0, Rational[2, 3], 0], $CellContext`GraphicsColor -> RGBColor[0, Rational[2, 3], 0]], "\[Rule]", "Automatic"}]}], "]"}]}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", "6", "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[ 0.3814895665488554, 0.6697195392323858, 0.6137754024852305]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", "7", "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[ 0.7057147057778084, 0.7424289658931778, 0.2988771635987799]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", "8", "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.471412, 0.108766, 0.527016]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", "9", "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.857359, 0.131106, 0.132128]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", "10", "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[ 0.29687407725743975`, 0.14292853124684168`, 0.6890832171726353]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}]}], "}"}]}], "}"}], ",", RowBox[{ StyleBox["VertexColors", FrontFaceColor->RGBColor[0, Rational[2, 3], 0], BackFaceColor->RGBColor[0, Rational[2, 3], 0], FontWeight->Bold, FontColor->RGBColor[0, Rational[2, 3], 0], $CellContext`LineColor -> RGBColor[0, Rational[2, 3], 0], $CellContext`GraphicsColor -> RGBColor[0, Rational[2, 3], 0]], "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.857359`", ",", "0.131106`", ",", "0.132128`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "9", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{0.471412, 0.108766, 0.527016}, {0.8825448948963476, 0.32203763840447963`, 0.1661360610105281}, {0.6336387876476495, 0.7434172592781491, 0.34273146545420874`}, {0.5296380546283419, 0.7322951311815465, 0.42655067522699774`}, {0.857359, 0.131106, 0.132128}, {0.471412, 0.108766, 0.527016}, {0.8825448948963476, 0.32203763840447963`, 0.1661360610105281}, {0.6336387876476495, 0.7434172592781491, 0.34273146545420874`}, {0.5296380546283419, 0.7322951311815465, 0.42655067522699774`}}]]}], "}"}]}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"Axes", "\[Rule]", RowBox[{"{", RowBox[{"False", ",", "False"}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], ",", RowBox[{"AxesOrigin", "\[Rule]", RowBox[{"{", RowBox[{"3.1700786514699946`", ",", "0"}], "}"}]}], ",", RowBox[{"DisplayFunction", "\[Rule]", "Identity"}], ",", RowBox[{"Frame", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"True", ",", "True"}], "}"}], ",", RowBox[{"{", RowBox[{"True", ",", "True"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}], ",", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}], ",", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}]}], "}"}]}], ",", RowBox[{"GridLines", "\[Rule]", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], ",", RowBox[{"GridLinesStyle", "\[Rule]", RowBox[{"Directive", "[", TemplateBox[<|"color" -> GrayLevel[0.5, 0.4]|>, "GrayLevelColorSwatchTemplate"], "]"}]}], ",", RowBox[{"Method", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"(", RowBox[{ RowBox[{"DeleteCases", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Identity", "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "1"}], "]"}], "]"}], ",", RowBox[{"Identity", "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "2"}], "]"}], "]"}]}], "}"}], ",", RowBox[{"{", "}"}]}], "]"}], "&"}], ")"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"(", RowBox[{ RowBox[{"DeleteCases", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Identity", "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "1"}], "]"}], "]"}], ",", RowBox[{"Identity", "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "2"}], "]"}], "]"}]}], "}"}], ",", RowBox[{"{", "}"}]}], "]"}], "&"}], ")"}]}]}], "}"}]}]}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"3.1700786514699946`", ",", "7.647349378185755`"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "6.704595625701298`"}], "}"}]}], "}"}]}], ",", RowBox[{"PlotRangePadding", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.02`", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.05`", "]"}]}], "}"}]}], "}"}]}], ",", RowBox[{"Ticks", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}]}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{3.872686667505158*^9}, CellLabel->"Out[34]=", CellID->631960807,ExpressionUUID->"82b22077-be13-4b59-a2c1-f49a1c4c850d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "@", "plNormalized"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.850024184196257*^9, 3.850024184197257*^9}, { 3.8500242515839043`*^9, 3.8500242796000776`*^9}, {3.8500243346000557`*^9, 3.8500243551733403`*^9}, 3.8500243974856467`*^9, {3.8500244858408685`*^9, 3.850024607751212*^9}, {3.850025042575591*^9, 3.8500250622322564`*^9}, 3.850025132373006*^9, {3.85002532317165*^9, 3.850025360229088*^9}, { 3.872686663086371*^9, 3.872686664999308*^9}}, CellLabel->"In[35]:=", CellID->688943432,ExpressionUUID->"b9e156f9-3bb1-42ad-b25c-b7ba87460612"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["Graphics", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ TemplateBox[<|"color" -> Hue[0.67, 0.6, 0.6]|>, "HueColorSwatchTemplate"], ",", RowBox[{"AbsolutePointSize", "[", "7", "]"}]}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"6.532792014745688`", ",", "6.704595625701298`"}], "}"}], "]"}], ",", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"6.002528473018472`", ",", "0.9366147397150026`"}], "}"}], "]"}], ",", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"7.647349378185755`", ",", "6.2794457329389175`"}], "}"}], "]"}], ",", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"3.261451523443778`", ",", "4.277303341191995`"}], "}"}], "]"}], ",", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"7.178385824545014`", ",", "3.882659969891396`"}], "}"}], "]"}]}], "}"}]}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"6.532792014745688`", ",", "6.704595625701298`"}], "}"}], "]"}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[ 0.3814895665488554, 0.6697195392323858, 0.6137754024852305]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"6.002528473018472`", ",", "0.9366147397150026`"}], "}"}], "]"}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[ 0.7057147057778084, 0.7424289658931778, 0.2988771635987799]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"7.647349378185755`", ",", "6.2794457329389175`"}], "}"}], "]"}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.471412, 0.108766, 0.527016]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"3.261451523443778`", ",", "4.277303341191995`"}], "}"}], "]"}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[0.857359, 0.131106, 0.132128]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ StyleBox["Point", FontWeight->Bold], "[", RowBox[{"{", RowBox[{"7.178385824545014`", ",", "3.882659969891396`"}], "}"}], "]"}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"AbsolutePointSize", "[", "7", "]"}], ",", TemplateBox[<| "color" -> RGBColor[ 0.29687407725743975`, 0.14292853124684168`, 0.6890832171726353]|>, "RGBColorSwatchTemplate"]}], "]"}], "}"}]}], "]"}], "}"}]}], "}"}]}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"Axes", "\[Rule]", RowBox[{"{", RowBox[{"False", ",", "False"}], "}"}]}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], ",", RowBox[{"AxesOrigin", "\[Rule]", RowBox[{"{", RowBox[{"3.1700786514699946`", ",", "0"}], "}"}]}], ",", RowBox[{"DisplayFunction", "\[Rule]", "Identity"}], ",", RowBox[{"Frame", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"True", ",", "True"}], "}"}], ",", RowBox[{"{", RowBox[{"True", ",", "True"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}], ",", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}], ",", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}]}], "}"}]}], ",", RowBox[{"GridLines", "\[Rule]", RowBox[{"{", RowBox[{"None", ",", "None"}], "}"}]}], ",", RowBox[{"GridLinesStyle", "\[Rule]", RowBox[{"Directive", "[", TemplateBox[<|"color" -> GrayLevel[0.5, 0.4]|>, "GrayLevelColorSwatchTemplate"], "]"}]}], ",", RowBox[{"Method", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"(", RowBox[{ RowBox[{"DeleteCases", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Identity", "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "1"}], "]"}], "]"}], ",", RowBox[{"Identity", "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "2"}], "]"}], "]"}]}], "}"}], ",", RowBox[{"{", "}"}]}], "]"}], "&"}], ")"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"(", RowBox[{ RowBox[{"DeleteCases", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Identity", "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "1"}], "]"}], "]"}], ",", RowBox[{"Identity", "[", RowBox[{"Part", "[", RowBox[{"#1", ",", "2"}], "]"}], "]"}]}], "}"}], ",", RowBox[{"{", "}"}]}], "]"}], "&"}], ")"}]}]}], "}"}]}]}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"3.1700786514699946`", ",", "7.647349378185755`"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "6.704595625701298`"}], "}"}]}], "}"}]}], ",", RowBox[{"PlotRangePadding", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.02`", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Scaled", "[", "0.02`", "]"}], ",", RowBox[{"Scaled", "[", "0.05`", "]"}]}], "}"}]}], "}"}]}], ",", RowBox[{"Ticks", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Automatic"}], "}"}]}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{{3.8500246006061177`*^9, 3.8500246081437654`*^9}, 3.8500249459870453`*^9, 3.8500249870044627`*^9, {3.8500250430485067`*^9, 3.8500250625594063`*^9}, 3.850025132749256*^9, {3.850025347259515*^9, 3.8500253650761414`*^9}, {3.850033450654685*^9, 3.85003345619489*^9}, 3.8500346389420156`*^9, {3.8500488135563393`*^9, 3.85004884697148*^9}, 3.8500490615321712`*^9, 3.8500491675382376`*^9, 3.8500493808016386`*^9, 3.85005058242352*^9, 3.8500509345979233`*^9, 3.850097527647849*^9, 3.850105638622595*^9, 3.850264310030033*^9, 3.853059589008115*^9, 3.8530599809413967`*^9, 3.853060229601283*^9, 3.872481278777295*^9, 3.872686669844686*^9}, CellLabel->"Out[35]=", CellID->551860636,ExpressionUUID->"8e5235c8-2b2e-46f8-a6ee-455c9586b5a6"] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Properties and Relations", "\[NonBreakingSpace]", Cell["(4)", "ExampleCount",ExpressionUUID-> "67136608-ada1-49f7-9933-566aaa275850"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellID->232113220,ExpressionUUID->"dc9411cb-81bd-4164-b827-cf2ee9f3d70d"], Cell[TextData[{ Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["InputForm", "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/InputForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "4e6caf4d-37a8-48d3-b57c-9b460f9259af"], " always produces a one-dimensional representation of the expression in the \ form of pure text, suitable to be typed as Wolfram Language input via a \ text-based interface. Within the notebook interface, semantic selection and \ code highlighting are not available with ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["InputForm", "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/InputForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "8a49d7b4-a121-4b6c-91fe-f2f6c279a230"], " expressions:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.8499999579738398`*^9, 3.849999990187608*^9}, {3.850017413875713*^9, 3.8500174216754913`*^9}, { 3.8500174632180367`*^9, 3.8500174824863243`*^9}, {3.850023531871014*^9, 3.850023532060255*^9}, 3.850098587079244*^9, {3.8500986266869717`*^9, 3.850098629933545*^9}, {3.8500990012729836`*^9, 3.850099034025318*^9}, { 3.8500990667697134`*^9, 3.8500991612731776`*^9}, {3.8500992107955837`*^9, 3.8500992517706256`*^9}, {3.850099299283043*^9, 3.8500993091326475`*^9}, 3.8500999044919147`*^9, {3.850918222162516*^9, 3.8509182759614487`*^9}, { 3.85091831713549*^9, 3.850918317565344*^9}, {3.905510892663632*^9, 3.905510899312438*^9}}, CellID->119830234,ExpressionUUID->"c4785503-e491-42a0-b9b5-4b988841cf0d"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"im", "=", RowBox[{"Image", "[", RowBox[{"RandomInteger", "[", RowBox[{"1", ",", RowBox[{"{", RowBox[{"10", ",", "10"}], "}"}]}], "]"}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8500987980620255`*^9, 3.8500988004401455`*^9}, { 3.8500988403360987`*^9, 3.8500988608986783`*^9}, {3.8500989093361053`*^9, 3.850098962320427*^9}, 3.872686620473014*^9}, CellLabel->"In[30]:=", CellID->492175757,ExpressionUUID->"7b055b4e-3d4d-4501-961b-30922a4c87da"], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBbCBOamKOsVEOSJILihkYGuwRGAaQ 2cgAXRxdL7oZ6Oaim4NLPy7zcJmBy82E3IONTYx78ZlNanigqgcAJksqZw== "], {{0, 10.}, {10., 0}}, {0., 1.}, ColorFunction->GrayLevel], BoxForm`ImageTag["Real32", ColorSpace -> Automatic, Interleaving -> None], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{10., 10.}, PlotRange->{{0, 10.}, {0, 10.}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.872686621702989*^9}, CellLabel->"Out[30]=", CellID->409721007,ExpressionUUID->"3bb65dfc-38b3-4e67-99a0-7bf6a5aaf0c4"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"im", "//", "InputForm"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8500987980620255`*^9, 3.8500988004401455`*^9}, { 3.8500988403360987`*^9, 3.8500988608986783`*^9}, {3.8500989093361053`*^9, 3.850098962320427*^9}, 3.872686620473014*^9}, CellLabel->"In[31]:=", CellID->17651577,ExpressionUUID->"a1e21abf-770f-47bd-a19c-e5bbe420612b"], Cell["\<\ Image[NumericArray[{{1., 1., 1., 0., 0., 1., 0., 0., 0., 0.}, {0., 1., 0., \ 0., 0., 1., 1., 1., 0., 1.}, {0., 0., 1., 1., 1., 0., 0., 0., 0., 1.}, {0., 1., 1., \ 1., 0., 1., 0., 1., 0., 1.}, {0., 0., 1., 0., 0., 0., 1., 0., 1., 0.}, {1., 0., \ 0., 0., 0., 1., 0., 0., 1., 1.}, {1., 0., 0., 1., 0., 0., 1., 0., 1., 0.}, {0., \ 0., 0., 1., 0., 1., 1., 0., 1., 0.}, {0., 1., 1., 1., 1., 1., 0., 1., 0., 0.}, \ {1., 1., 1., 0., 0., 0., 1., 1., 0., 1.}}, \"Real32\"], \"Real32\", ColorSpace -> Automatic, Interleaving -> None]\ \>", "Output", TaggingRules->{}, CellChangeTimes->{ 3.8500988018168077`*^9, {3.8500988425104427`*^9, 3.8500988581894884`*^9}, { 3.85009894719007*^9, 3.850098962906876*^9}, 3.8500999230648756`*^9, 3.8501029587581315`*^9, {3.85026434479854*^9, 3.850264351457426*^9}, 3.850264397024938*^9, 3.8724812861764126`*^9, 3.872686622715475*^9}, CellLabel->"Out[31]//InputForm=", CellID->18953259,ExpressionUUID->"96ddd224-b7fd-4617-9e5c-4d5be8d5c5e4"] }, Open ]], Cell[TextData[{ Cell[BoxData[ StyleBox["ShortInputForm", "InlineResourceFunction"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "ec81b71e-e64f-44af-9acd-3b47f6223a31"], " produces shortened two-dimensional output, suitable to be used as input \ within the notebook interface. Semantic selection and code highlighting are \ turned on by default:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.8499999579738398`*^9, 3.849999990187608*^9}, {3.850017413875713*^9, 3.8500174216754913`*^9}, { 3.8500174632180367`*^9, 3.8500174824863243`*^9}, {3.850023531871014*^9, 3.850023532060255*^9}, 3.850098587079244*^9, {3.8500986266869717`*^9, 3.8500986484612885`*^9}, {3.850098682600483*^9, 3.850098704573784*^9}, { 3.8500987876646996`*^9, 3.8500987917446895`*^9}, 3.8500991901268487`*^9, { 3.8500993338873653`*^9, 3.8500993638039513`*^9}, {3.850099948701512*^9, 3.850099974988965*^9}, 3.8509182872324533`*^9}, CellID->488787055,ExpressionUUID->"0e8287ff-125a-47a7-89c7-c7ccf7bcb2e7"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"im", "//", InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.850098983409209*^9, 3.850098984563486*^9}, { 3.850099466683195*^9, 3.850099473747089*^9}, {3.8500997755646524`*^9, 3.8500997880140147`*^9}, {3.850104359905569*^9, 3.8501043677327785`*^9}}, CellLabel->"In[18]:=", CellID->445322238,ExpressionUUID->"3f97c43a-90e5-4064-b2da-9bfc41f2e8dc"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["Image", FontWeight->Bold], "[", RowBox[{ InterpretationBox[ RowBox[{ TagBox["NumericArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"10", ",", "10"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"10", ",", "10"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Data: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TemplateBox[{ "1.`", "\", \"", "1.`", "\", \"", "1.`", "\", \"", "0.`", "\", \"", "1.`", "\", \"", "\"\[Ellipsis]\""}, "RowDefault"], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBbCBOamKOsVEOSJILihkYGuwRGMbH Jo4sh85HF0eWR9ePbhc2vbjcg89OXG4g5B50vYT8hM9OQuYTCtsGewBv7Sas "], Editable->False, SelectWithContents->True, Selectable->False], ",", "\"\\"", ",", RowBox[{"ColorSpace", "\[Rule]", "Automatic"}], ",", RowBox[{"Interleaving", "\[Rule]", "None"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.8500989851765237`*^9, {3.850099459173335*^9, 3.850099474231118*^9}, 3.8500995056934633`*^9, 3.8500996475185795`*^9, 3.8500997288366823`*^9, { 3.850099778481016*^9, 3.850099803198019*^9}, 3.850099931593628*^9, 3.8501029608055744`*^9, {3.850104362271714*^9, 3.850104368447993*^9}, 3.8502643671586485`*^9, 3.850264399705093*^9, 3.8724812886277094`*^9}, CellLabel->"Out[18]=", CellID->145070453,ExpressionUUID->"46a068b5-b9d8-41c5-9656-771d05075a3c"] }, Open ]], Cell[TextData[{ "Special forms like ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["NumericArray", "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/NumericArray", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "9deb975c-77e2-4e9f-80c9-6e4199596bb5"], " are kept untouched for readability by default, but can also be converted \ by applying ", Cell[BoxData[ StyleBox["ShortInputForm", "InlineResourceFunction"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "b32e1369-154d-4446-8e56-029ef09441d7"], " to them separately:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.8499999579738398`*^9, 3.849999990187608*^9}, {3.850017413875713*^9, 3.8500174216754913`*^9}, { 3.8500174632180367`*^9, 3.8500174824863243`*^9}, {3.850023531871014*^9, 3.850023532060255*^9}, 3.850098587079244*^9, {3.8500986266869717`*^9, 3.8500986484612885`*^9}, {3.850098682600483*^9, 3.850098704573784*^9}, { 3.8500987876646996`*^9, 3.8500987917446895`*^9}, 3.8500991901268487`*^9, { 3.8500993338873653`*^9, 3.8500993638039513`*^9}, {3.850099806364599*^9, 3.850099875323865*^9}, {3.8501001537001314`*^9, 3.850100200012805*^9}, { 3.850100257187792*^9, 3.85010025928526*^9}, {3.8501030218083735`*^9, 3.8501030603549013`*^9}, {3.8501037597463455`*^9, 3.8501037619368577`*^9}, {3.8501038526413155`*^9, 3.850103861008562*^9}, { 3.8501039370026617`*^9, 3.8501039739843283`*^9}, {3.850104025930911*^9, 3.8501040311152077`*^9}, {3.850918295083503*^9, 3.850918295083591*^9}, { 3.905510921954404*^9, 3.9055109273855057`*^9}}, CellID->204340224,ExpressionUUID->"830c96ff-7030-4671-a720-3caefbde5d82"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "[", "im", "]"}], "/.", RowBox[{"na_NumericArray", ":>", RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{ "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "[", "na", "]"}]}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.850103143026329*^9, 3.850103171803131*^9}, { 3.850103812810895*^9, 3.850103814868085*^9}}, CellLabel->"In[19]:=", CellID->587350318,ExpressionUUID->"85f2daf2-fb10-4b72-a5cb-618ddff66fb8"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["Image", FontWeight->Bold], "[", RowBox[{ StyleBox[ RowBox[{ StyleBox["NumericArray", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1.`", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "9", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, {1., 1., 0., 1., 0., 1., 1., 1., 0.}]]}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "9", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJxTTMoPSmViYGDgBGIuBnTwwR5DCK88IfW49OPShy6Pyz5i7SVkDrl8XPZQ CogNH0L2UhpPuACx4UCuuwjFN+F0AwAe0yn9 "]]]}], "}"}], ",", "\"\\""}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3], ",", "\"\\"", ",", RowBox[{"ColorSpace", "\[Rule]", "Automatic"}], ",", RowBox[{"Interleaving", "\[Rule]", "None"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{{3.8501031573704596`*^9, 3.850103172470388*^9}, 3.8501038157574606`*^9, {3.8502643731980205`*^9, 3.850264402512076*^9}, 3.87248129129235*^9}, CellLabel->"Out[19]=", CellID->60026461,ExpressionUUID->"549981a7-8df0-4902-85f9-3423f0d5e64d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ RowBox[{ TagBox["NumericArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"], ImageSizeCache -> { 10.869015724668278`, {0., 10.869015724668278`}}], Appearance -> None, BaseStyle -> {}, ButtonFunction :> (Typeset`open$$ = True), Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"10", ",", "10"}], "}"}], "SummaryItem"]}]}}, AutoDelete -> False, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}]}}, AutoDelete -> False, BaselinePosition -> {1, 1}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"], ImageSizeCache -> { 10.869015724668278`, {0., 10.869015724668278`}}], Appearance -> None, BaseStyle -> {}, ButtonFunction :> (Typeset`open$$ = False), Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"10", ",", "10"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Data: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TemplateBox[{ "0.`", "\", \"", "1.`", "\", \"", "0.`", "\", \"", "0.`", "\", \"", "0.`", "\", \"", "\"\[Ellipsis]\""}, "RowDefault"], "SummaryItem"]}]}}, AutoDelete -> False, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}]}}, AutoDelete -> False, BaselinePosition -> {1, 1}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBbCBOamKOsVEOSJILiiGgwZ4BA8DE QDQMI8uhi2ETx6UHmzyx5hAD0PWim4PLb7j8hW42PjPIkUOoAQDnySvl "], Editable->False, SelectWithContents->True, Selectable->False], "//", InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False]}]], "Input", TaggingRules->{}, CellChangeTimes->{3.850102977761611*^9}, CellLabel->"In[20]:=", CellID->563734207,ExpressionUUID->"f125c424-ed75-4108-90e2-578e5859a729"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["NumericArray", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.`", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "9", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, {1., 0., 0., 0., 0., 1., 0., 1., 1.}]]}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "9", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJxTTMoPSmViYGDgBGIuBhj4YM+AFcDE0WlcgJB6Uu0hVj+13UMtQMheQu4h pI9UeWIBpe6glz5McwCX6jXT "]]]}], "}"}], ",", "\"\\""}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.8501029785371313`*^9, 3.8501030723482375`*^9, 3.850105736778904*^9, { 3.8502643785734477`*^9, 3.8502644039664545`*^9}, 3.872481293099049*^9}, CellLabel->"Out[20]=", CellID->368026957,ExpressionUUID->"fce1c1cf-9721-4075-8868-b9023467774b"] }, Open ]], Cell[TextData[{ "Such forms usually can be converted to normal expressions by applying ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Normal", "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/Normal", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "6dba60c8-2949-4e2f-ad2e-3db7e7798e1a"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.8499999579738398`*^9, 3.849999990187608*^9}, {3.850017413875713*^9, 3.8500174216754913`*^9}, { 3.8500174632180367`*^9, 3.8500174824863243`*^9}, {3.850023531871014*^9, 3.850023532060255*^9}, 3.850098587079244*^9, {3.8500986266869717`*^9, 3.8500986484612885`*^9}, {3.850098682600483*^9, 3.850098704573784*^9}, { 3.8500987876646996`*^9, 3.8500987917446895`*^9}, 3.8500991901268487`*^9, { 3.8500993338873653`*^9, 3.8500993638039513`*^9}, {3.850099806364599*^9, 3.850099875323865*^9}, {3.8501001537001314`*^9, 3.850100200012805*^9}, { 3.850100257187792*^9, 3.85010025928526*^9}, {3.8501030923381395`*^9, 3.850103104506181*^9}, {3.85010407343336*^9, 3.850104083603507*^9}, { 3.850918345640304*^9, 3.8509183456403646`*^9}}, CellID->35532880,ExpressionUUID->"2d5f522a-1f7f-42f0-9091-c94dedd78021"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ RowBox[{ TagBox["NumericArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"10", ",", "10"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"10", ",", "10"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Data: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TemplateBox[{ "0.`", "\", \"", "1.`", "\", \"", "0.`", "\", \"", "1.`", "\", \"", "0.`", "\", \"", "\"\[Ellipsis]\""}, "RowDefault"], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBbCBOamKOsVEOSJILiiGgwR6VRhbH JoYNIKuFsbFhfObiUkOsOehsfOYRcjs+tyGbQchtxOhD8AHOCjNb "], Editable->False, SelectWithContents->True, Selectable->False], "//", "Normal"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8500995883138266`*^9, 3.8500996140600324`*^9}, 3.850099653315133*^9, {3.8500997903884964`*^9, 3.850099794937911*^9}, 3.8500998580958433`*^9, {3.850100109286645*^9, 3.8501001159021025`*^9}, 3.8501033507873135`*^9, 3.8502644139751654`*^9}, CellLabel->"In[21]:=", CellID->653670694,ExpressionUUID->"bc7c31ee-476c-4875-b586-5d3f062e4a24"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "0.`", ",", "1.`", ",", "0.`", ",", "1.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "1.`", ",", "1.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "0.`", ",", "0.`", ",", "1.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "1.`", ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "0.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "0.`", ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "1.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "0.`", ",", "1.`", ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "0.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "0.`", ",", "1.`", ",", "1.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "0.`", ",", "1.`", ",", "0.`", ",", "0.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "0.`", ",", "1.`", ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "0.`", ",", "1.`", ",", "0.`", ",", "0.`", ",", "0.`", ",", "1.`", ",", "1.`", ",", "0.`", ",", "1.`", ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "0.`", ",", "0.`", ",", "0.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "0.`", ",", "0.`", ",", "1.`", ",", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "1.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "0.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "1.`"}], "}"}], ",", RowBox[{"{", RowBox[{ "0.`", ",", "0.`", ",", "1.`", ",", "0.`", ",", "1.`", ",", "1.`", ",", "1.`", ",", "0.`", ",", "1.`", ",", "1.`"}], "}"}]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.85009979553468*^9, 3.8500998587126303`*^9, {3.8501001112013903`*^9, 3.850100116437334*^9}, 3.8501006485112314`*^9, 3.850103351708541*^9, 3.8501057441419277`*^9, {3.850264384540033*^9, 3.850264414471975*^9}, 3.8724812950699253`*^9}, CellLabel->"Out[21]=", CellID->754540578,ExpressionUUID->"63856d19-48dd-499b-9f0a-eb9a1755a6c2"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Possible Issues", "\[NonBreakingSpace]", Cell["(3)", "ExampleCount",ExpressionUUID-> "23e374bb-0221-4729-a6b7-4e794d1a686f"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellID->158766396,ExpressionUUID->"ce26c9cc-34ac-48ee-a5b4-f1f560a17088"], Cell[TextData[{ "By default, ", Cell[BoxData[ StyleBox["ShortInputForm", "InlineResourceFunction"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "cd8422a7-0f7c-4a1b-bb20-48be62e5de68"], "[", Cell[BoxData[ StyleBox["expr", "TI"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "543a82cf-b13c-4ffd-81b4-75f66a439c81"], "] keeps untouched compound-type atomic objects when they are part of the \ supplied expression:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.8499999579738398`*^9, 3.849999990187608*^9}, {3.850017413875713*^9, 3.8500174216754913`*^9}, { 3.8500174632180367`*^9, 3.8500174824863243`*^9}, {3.850023531871014*^9, 3.850023532060255*^9}, {3.8501057667*^9, 3.8501058239071827`*^9}, { 3.8502644671648464`*^9, 3.8502644673338747`*^9}, 3.905510938929492*^9}, CellID->632754471,ExpressionUUID->"b70dfe6a-b0b9-4693-b1d4-ef31d494e254"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"expr", "=", RowBox[{"{", RowBox[{ RowBox[{"RandomImage", "[", RowBox[{"1", ",", RowBox[{"{", RowBox[{"50", ",", "40", ",", "20"}], "}"}]}], "]"}], ",", RowBox[{"DelaunayMesh", "[", RowBox[{"RandomReal", "[", RowBox[{"1", ",", RowBox[{"{", RowBox[{"7", ",", "3"}], "}"}]}], "]"}], "]"}], ",", RowBox[{"Graph", "[", RowBox[{"{", RowBox[{ RowBox[{"1", "\[UndirectedEdge]", "2"}], ",", RowBox[{"2", "\[UndirectedEdge]", "3"}], ",", RowBox[{"3", "\[UndirectedEdge]", "1"}]}], "}"}], "]"}], ",", RowBox[{"SparseArray", "[", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"{", "5", "}"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{"{", "6", "}"}]}], "]"}], ",", RowBox[{"NumericArray", "[", RowBox[{ RowBox[{"RandomReal", "[", RowBox[{"1", ",", RowBox[{"{", RowBox[{"5", ",", "5"}], "}"}]}], "]"}], ",", " ", "\"\\""}], "]"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"AtomQ", "/@", "expr"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.8500000513212423`*^9, 3.850000072736395*^9}, { 3.850000191696836*^9, 3.8500002163544216`*^9}, {3.8500085868956203`*^9, 3.8500085872215214`*^9}, 3.850008735202697*^9, {3.8500170423577857`*^9, 3.8500170600827656`*^9}, {3.850017096975805*^9, 3.850017099804179*^9}, { 3.8500976219725623`*^9, 3.8500976268358974`*^9}, {3.8501058446983395`*^9, 3.8501058803466496`*^9}, {3.85010599161807*^9, 3.850105992116071*^9}, 3.872686607355769*^9}, CellLabel->"In[27]:=", CellID->1652281,ExpressionUUID->"df0130aa-788f-4673-819b-c76d44908bdc"], Cell[BoxData[ RowBox[{"{", RowBox[{"True", ",", "True", ",", "True", ",", "True", ",", "True"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.872686608678815*^9}, CellLabel->"Out[28]=", CellID->23069392,ExpressionUUID->"28c583dc-01cf-4dbd-bab4-bb7644fb533d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "[", "expr", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8500000513212423`*^9, 3.850000072736395*^9}, { 3.850000191696836*^9, 3.8500002163544216`*^9}, {3.8500085868956203`*^9, 3.8500085872215214`*^9}, 3.850008735202697*^9, {3.8500170423577857`*^9, 3.8500170600827656`*^9}, {3.850017096975805*^9, 3.850017099804179*^9}, { 3.8500976219725623`*^9, 3.8500976268358974`*^9}, {3.8501058446983395`*^9, 3.8501058803466496`*^9}, {3.85010599161807*^9, 3.850105992116071*^9}, 3.872686607355769*^9}, CellLabel->"In[29]:=", CellID->442812000,ExpressionUUID->"3b9abb20-cbd7-4990-86ed-a3a3cc690bf7"], Cell[BoxData[ StyleBox[ RowBox[{"{", RowBox[{ Graphics3DBox[ TagBox[Raster3DBox[CompressedData[" 1:eJwUl3c4lu8bxjMSIpQGSbbIyKx47/M0EipChMpeESqrZTS1tPeW0lBp76Wp qSEaUpFSmpL6FtXv/f1xP8fzHu9x3Mf9XPd1nef50Y+eGBAv26FDh3RF6SMg aoprWlrUtFEK//8RF5VsZ5ssJ33VlK5+0mUrXV826vFqxXFh9XcKFQqmo+fE WN7s+gSJBUmcfjKG3WLl0b7vnmR29gQ2DuzOwl9hdG3QZ13bYsnA6TdhvkuB FwzHswM8meTbjcl1t7G8x2VR4q3H7z6xvDR9Dzx0A3ntWgq/T7RndoEH2u9s FdUHZ+LNpb5stvfmVCcjbl+hzQ7BjVB81xGvhwxi9R0LfrPqxPZoZ1rdXQaP s0/go98Dn8V41p7fiYI5OSgfdhSfM5UxpHQGm5ecF+dGG/FaW6G4MNuUz3ss xRw5S/Zo1sWQcSPpslGB/3Jt6DrUkFatnfhkiSPCleWo1jSWv+WPCFejTvxv 2gJY+1jxsK8l54RFcMVVR7pnRVOtaICIedqBfdbp01unI8IVVLj01z/8rJqG 39LzOciPQt7GNHbqbcn5jS44+2kjiocvQOXVo9j2oSebPkWx++449poxA72+ lEB9x3V4yNnzlFwgh1WuxOLMeB7flYgg33kS9YZTeB3xFJuPvBZV8prcLlbi paoKy/eegNOWKK62cmFymwcDhwscWNeJc9emiMHZKdzxpRX55z342MyGC+eU oG5sDi2+2nKmshcz3bU4w/cFHgbvQ0FrMvyrrTkxohUrPkWy3tABmZV9mBpb K7qa2GO7gRz1H3ihSvG26JmhLQYvaZaM7gdW1QmOa9Dk9Upb3jh5QLKmQo6v //Tig4QpzOJA+jlfx6KM4bxRXihZ9PQC3h7vwQGa7dhR3onpe2Q5ruIXDt3u TqeoMljs8GBYfg10aqx5dpQdaytvo+ryTyR1mYWGTvbMGVOD0vthHLltPH0r q3DMozcjN43iWufnmHddm4teGDEkVJ5pjrtgrG3IssDd6PS+A/dNaMTXCRNw 56geO7utxbmp39Femco3hw3JIWGc/DWbE9/qwt3gFl5NS2Xs0kmMmN+Dm+nN oAJtdv3WlXrmdnxVQz6MuYz4YfuxYutycSk6jbWrM3n8nQ+DZ8pyzWYv0Tex M/M2nsSMDEfWhIzlzYWXhF9+I975h/JyzXXcDahHtqUNF0z1Yc7mU6LhnwWP LM/jN63xfDNgIIz7/cHIGhtEjhKMnNaf1qHZWJtkgenq2/BctQeV7QPZYK4u zj8J5teTA/kocSKrlsVgcIoKf3ztjbd53Xj81Xm8ct6GvqflcSI+jlkbR3D4 /FK49b0Ilcvu1PAOYPd1jtz1MYO/nd5CU9abt3tKOGrVONY/eykyLj6CZ2Cz WH1KVaiOfiapnt2G2dtGctCCh3je5gzDI3X4opmO89uGMqBXPI/tv4B5+foM eJDNvzMDubPbZfxq6cfjVl68M687xc6bUK1fIv6OSYOcWjSHPb8FuCdzkmMc Q7R2Cdl1Z1C+x4h5q2dInvtYUHRPpvvTTnAf7MhXu014rmw41frvxsaBQ/jj xEN0X+TJv66h1C6/gc0RHqg9nctQ3sen9wpYO9sdrV/CuXL/CqTuCad7ZjZt E5Ko9bgWcTaCG8oD2eHCbUSVpWHTwFhciy/GCM0CcfDmdMYszEeGujOVrM34 fFigeBh/Bx7jEvi8bCJs/L2ZOYNwqjeleqsNHxf9FJF/JcJ1Ty6ndJFw2n5T qg4LRFL8OE6znA2PTAVySwS3nymDxp7fCLLMxn8rJDx4oRV35KwR2jUbksRZ 0H42lCE7s/nn0VXhdPk8brmeheZjDdouvYnTB3S52fwQHNem4sGkOZg/vMAp z3khBo38gbiDpbj+wIm+d4g3K7I5pUKLr9YfFe//JbNRvQ7fjlTi64UNwrp/ NNdJtkPFPonitQtFen+eSQlkxG1LmjvcwjvjqcwuWY2F4VHcur8jzxaPZ9v8 72iY0I3vnu/AlJBERs6vFucsM9jgqsCG/7LE99UroOF+HzqX8/FnqBdvbLLg WMezcNijzwMmfyD/+w+qkqbzgXc6k64Xo9Rfk7b9OuPVywmsN/YWS7z6sqjW S5RlPoHsyr6sWKPMaX3b4JntzE4HOvLCd30u63JIPPCP4ZOnHzExUYl7zfUR 0dZFYvNiJKI17yDmly9T5XQYV+HA01qRuN9zNRJHqPGZ02/Js30mnOu8U9yx scHOuJfo8g8skt6R86gKMa6zM6ZOqcSarCE0GboHi6WedaCrMW/VxcNk/WZE jKtDzFQ/Op7rSV2rJjxar8BjFz8hSUdHvF8zHxZbtYS6py5d9/8WWS3PcCpp q2TAlCieLa90mvEsjt0LHbAyO5zng98ioCaBsR3v4k6fd+jVWYODpP5k7azB rX9zhMtJA/6J64UFo2OZXCzVqqdXoWqngEXW3RmhVY3BBqH0tKiBbMVRTD44 FQ7hNnhcoyBxL23BpT91eDcjnhGsR6m7B4N8dWm0oFxcjFDmkxZVDrnWjJJ1 m7Gt8Q4cz3vzx1pjlPcJxgeL4ZxXY8z9uuegW5fF/OFVkhJN8MdrP3ZPH0lv A3UaFm6Dzj1nHNqwGro6n6He24rvg36LL8qleHB9LdQyqlHV0JtVVfac45RJ 42xXBOpbscg6VaT6nkXVjUlwzQ/huY0dedNYh+a2faiy5bqQf5QEr0nTuMd1 JmYPteZ/o/W4RCLV4/EJLBg2hOdDptDDr1xsnFiNVXquPG/7FZ/6RyMzyZE+ CuqMtJuGdYMymbm9Nwcdb8PQqxUIgyP8x59F8PuzWHx9IRIOhrB6vjnbO/pL em7uxbaKApQeG8G0z5YMy1mEEfOCuKTIgYuev0GPzCjGPViD9Kyx7KCoz9T2 F5LWYx1YMXgcN53qz7tI4xXfOFYExyF9812Mz/elVtZVRN2zZvjdfgzYUwWv 7jlsCzwgmpfZcZfudJwL0+KJ1TFw6RpDzbPhfFOVzA1TzHjspjnn/AvhwCVd JP2jF6H8QSGUp1xDpCwYu3sMd17ZIkna3p0rcgZxs9YJLDIyxcx8RwZlnoLK aEeOXZXJ8TkyrJ42kHbhIxjtmstTH1L5WQdcoTWC30bME6GTDYQkslTIDo7l 76M/xZPUbow6lc71pmPYT9aCLuNviY/rnZDnPZyTgp9Bt+g4FArGcfdfSzY+ GMbaNwfESuHEY8cHUr9rqJCVROLI5kncM2UET5/sy1X+Wbzt7SixO1eCI12P iK8hL3FufB1Oh+fg4poM6hTHc4hqhPh+QZUNcqaQybqNZ+ax+NR6V3xzCqHx 0gjG+oWJPQ/S6VNVD5uxffhS4RBKgibR4NJTgWgLbq9XodsHVa7qcAGKPRSR 0PoU6J/IhEAjrs6fxHWn54jew6O5cX0PHIwzxbLjq8Tw6DIc0V6DLr0LRY+d JzB9SSxmHbqPkn2HhGHdWWQWq7CDcjaNzpnz5ulO7FNvzcP5IxjgYMs1u4ZA p08oW4xqRXMvZXyOV+Mex+FikraaWF9XhS19kqi7PQxZWVM4Uh5MzYkUY0eb 40pRNrR+5XBX+EA2fZRq0L3taNwyWswfNBOL7M9AXmM6K2QG8rBdC2LvS2tb eUrsmmbO13ttuLt1DH9IZ2DksGhu65vE3c0h7NyyWJg0a3PVguNiu9NvmKtU Y8mjBtw6ksEFd55g1KFoer7O5ExpXv7Vag2faxKObnGTGLmViYN25Nida8Wy FOmc/BfKItVI+oVG4s3DaVQSMhRPg7lp1CME3rBm94QzSBlsS7uUQby7qw5L tkzkq3XJzO8bjSAFqd7/8+SC0igO/LEczgsSaV7swtKGLOpO1WH34JcIqj3l vHe9Pm3XZqL9hYvIODIbdRbP8OqKP+sydGiqMJS2k2fhT6u36L7YjIWfgoVT qSGfvVGULAhRpOEs6Ry7HUV5co74zzFCGKSMYpdnaoha44Cqrkr03rcZtZ7n nUs6XMGTZwHsdFWWyX+LcO+gCau0B3AAx9Ei1IB7J9lKHlQFY59rLCcMUqZW diT15X/g2eGp3DHgHoqG57Dgayg7NK5CreFUxm4kPPd0p2XrFHb8sUBsWa7M +0u2Yu71Thw6OYi998cKmzV6PJIShpcJt0SEWxEMrmpwus8t4XetGi/6rkCj rTs+XViCyphAtFVmMij8Bz513w2jG3Xidlk6I3/PRkFjEFwOrhJ7i+ZjYNNM EVc4nlUqJ2Cv0pvux/xQ4TCKPWtT2edgErfPD+ak1CPi9+8hTDpTC5tZzzBi 3T9kfdLjf4O7cqm/Jw8dG4W4MF/mqo3hiHXOXBD1xKnMUY3nS9NoeUWdI/p1 ZlV6Pep93yK1TzgfNW7FPJPtcNOplvayK8ueX4dxQx+2H6rDdHsVfq4Zyapv O8VAuS5YelSXrYVJuJF7AL0dj2NuSF+ofU7gzZM1qM5Moe3YZWjuKcHLfUkM PKcrZEKPOWde1uK1YlX2vC0ot6wZkY3O8F0eQuuzkWwProFdcQ51S/MoTjfh ePfxLF9hI258V+LN2fG0OFiISduCmBHYkwNH7IaiVzsSF/WlU0k8Spr96J+V hXLn1zhg50yTJ7skRpOlfTknjD6TOhJ5ehxU/hBpNvPhtk56z1/8mHqgFPMn W9BiyBhumO7PXuZdUHtkM+I7DubCB9eEWbAi/MrchJzXUC6OWo1pp/PF4/LR LJu8HtaJ/vyzTNqX/XW4ZuNq6H8qxhEbVVpK+0dB11R8W6XPg827gD8ZWFgc x/oe+s5zqvXgsagz+i/xpdJYV+jsT6FWWJto2dyO/u238HaKEnzOleKM7Q5U h3ozNvQKdC81OY+0OI22fZYc0ZUM/DuCh7RMJW7Hb0PeaA56f5uLjRfnO+X+ q0Ne7nc4OwxHyJvf4vxPad/oT8bWKlm+rrCk9YcWOFpH0L7/PxGvpgOTr9Fo UVNkQFY4rrauxYpXthy0uQs7lz9GL+03SHvsyvmbt6Lk3QC+/Doe68c3Yo/O LGyV9nTnBeo0y57INJVgGsyzEPKx/0kSW57AaXsc7X+boXL2QLqkuUkKlndh e18D/ujjx+IZmsx+Mp7TQqrF6EcS7Lcfx1maZiL0TwtGhEk/zOg9Qmsyse2A OX6uNudJjzLnSz9kuP3ZBfSuW4PW3/li88EifJd04YmEBUI874l/f9LoUxwp XlSSO0a8RD9pDtsaUQ9teQ2oH8lAkKEHq+Ou49Ds8dzWpTdVVg3hpanDuV2t ErsWanKB7mnJQ+du8H3xU7T6zsMQDxXe31aCA54VokegDlYmfpbOqh+V3gxE //uuXGZ9SYw4a8QzrjU4oxcIu2NdeKpht7h0JIUDhlrRxFuRNXdKUXfEjlu9 XGn+WYGmfZ9C5poH056OYCeq8cgGbZzdWoATPi6MDpDOaXQHyLx2R+koP4S8 m4l4eWvs35LCc4bplJ+uy92y9lzRZsod6nL0n1Yt/v40kyw950e5lZPx0MyL ihvvS+QeNju3HFbghpGRzPdPpo+kUFw8YcEO/eP5yeQn+q9+BckKPbaG+fNR Qg7NQuslN5qns/f7w1h084hY/Eq6t5MNX9U9RcrNjfjqkEwDY0taLVqK1asd WFXkTcnFO2gbaU7orRHBh/25ur0nDy1PEBfrz0KmXzgNOo+iyacW3K8fxeV/ ZtBvmR16xitD71w6NjSo4dvFcE6dNoDJlta8tN6Tm67nMP/LfXjXt+DPq1r8 MtXk6pS/MGg/KpF95sI/G/fCck8Qq9aModcgI2gvbEef1MFck6PPXBs7jso0 o3NCOMdt9+KUWOBpn/tI9D4I6+IaMfl9PFObrLj+yyje3p9L3VhlHlM14uHL GrzUOpABI1X57kk39l1qILzG5vCDszJURQ4Vsuuxp3mreGzmzIIvYRj9sEk0 d+wu6tunccc2qZZjuQjbdAkLE+rE5UBDdn3Thz0GtGD6MV3mrRvKuxmnoWdv wGvV3vAdFoMvplpwS9uAe92M6RM7g+rzTVj7Noc7FnWgWWs0i9YfxY1SL/Za kzj4wcp0+OYYsza1N+/I5dH0XyC3KO2ATko4rKW+o1SgzJtdLXD81FIEbhpH j24h/DDxA35/juHcxj2YMNCVj93/Ia7ekfNmj2W/H7Hiz0FZarrcFv9CTsFz ey0uzd2BMQtNqGCwXxyzLoNHd2fxbUoXdp0SIxSNMrDX4yfSbzvTXAt89yJR CLt27B/gIVEeZUBth96scBa8wBZcExewUKZGZJdG075tGpc/fYeYTZ0xZo45 b7UlM7bRhNf0I1k814f1Lh+le1/Bmc3JXPUrhlf6LEWvfbOQs+M8DA5lMz9a gQ8jdBEm8xsN9qswfmEQy/sthtug7pzL6ZKLHq58O6QLdzs9E7lxNuy7Px5u h8hjsycwZmoT0uR6037RL7Sc/CH6BMzgcY1oFpTMgU2SDLvEP0VHq3fihMEo /pVkc6/rTnQu6soNZQtF5KaxfK51GyWNflR+eEj8SKxBr3edGf2kFhWT6rGy 9T9ciIyhk380Bw7pxMr+N1F+dA+WG7lS7qQmXJoHc/PgJXCakMDZKufQ7rwA 2U+Ow7d8K5qM5mOb2lM8urEMHj1/4Y/cDUT+WovP55Qw58NYcsxr8f66LgM6 2DM0pVSy9uZqzGieLZlZakLvi1O57NwLJBoG0u5pIAZP/YtbWT04+mI9PtXE cp3eOLr9eYLc+5ckd3v25fqw3niw8BqUNuaw/l8vTHszgkHdZRjZtluqlQ6M m9xJEvTwLAL2JvP4eEU+cB+FQfV/8a+zFUo3SH23zzj0ObsRmQeDuCKvCbav /2Dka3kuuxfL97WjRY1yCsfEd6OZnB1DOkhnqjmRR7Y8hNpVFXg/PwxF+2qs eWDN019sxfaWBjwyj8C+U9qMu5aPVx/jmdkczy2bTkoyAqfybLEtI07YMFPv J4Y/9oRqbTjXPvIXpc2nEaeUzdizRaLSzRZ1ZlYsDoxmzn8xcL/ji+JDGjzv /VYcmmRAJU1Zenin8evODdDWXYy5ZY1YVHANr3qsx4+5yuztfEv6XTclR39J meZ8Twa8WYWLk0fQN8wJ3SZuwPr+XWG4dAK//ghkhLkpc5Id+PZJq3g2I5LR d8myEkVxGQPhe/gbnkVfwYzyi6I44yqcp1xEkw55psiSAaHZ8P1SgsZnlTjy IY2byi14pMySeZNuie3vt2BhlRtndjXnmm3G/CPljnsq45w/GN7AIm0Taj1I YXbrC+e7SfI4GX8dpfL9xJIga64oSeKdCk0WlCnTOrybkE86hTcNUfzoeQRu epPg+SiBrrf0+eTRAhi1unNpkRwf7nbmOD9NbswNx5Xh2xB2oB9GrrClpuom HI7YD0eFQOF6qD9lfrdLrlbH8qVGPA/PfSy5FK2ANrlY+s7OxIcdKkwfqU+5 xdpUXT2ZYzqEUtW6I9cldWJ0xwx6tmXA+fRPyV67LPqvqkfIg3NwHmCFs51V 2Nl/H9JGpjH18lr0vB8HSYgX7wSEsn3OTjjnmnFIiyw7vYuj95KOXPtgMG/u deAqI0sOjMsV05TLsWBJvtTXJ1H/5nUkzDGmxbfvwtBFlfu0XdmQexKNnfvy /RXy/QpDiuXhWFEwATq94rng/FRhfV+dsQeH8p9rP/rN78oevc7BsJMvLzfl SxpKk6gSZsrIB1Zcrm+LiQMP43dfCdJruuB25B0U3Uml8YMP6DO6QfL2/gvc m9wE58U+uBDdhxWnd6G1Rg4zdhqyf3oeTcpKMdfbnEmHZqEhfTBeKX3Gowl2 9FP+gmVxdZB/9w1RG5M5eF4RYr6QI429mTDek/d3XZC4cxADA49iTUgGtSJ+ Yk+cAz1KNWhQr8P+55NhqePI/dXDkTongrtfmGOG5XhmvuzADSlhUh9vFbIW juyS0ZUHn4/jLyl/q6fYsunHVdH4uzvGhZaIV6MjhWdsG5LvuvDLB380LF0v 6ebry0KJMh+dDkTN8D+QhKrzQJHgAIPL4pdDHjo1TubpW1thYjWQ4f9twcnp H8TJQEUa9XXC5p9+/NDHn08atZhvMwvqXf5J7nR4J/Jq8+gVuxeSmIHM/qHN U4fmo5uWA+5FBiBnwUsUbMpjWYElh2mFURj1gKv/dxEQmMI8n3sit7k/leVc +GPfdDYtSubJqB6UNMWwTDmRPyynYMN5L05VvSvefk9D9NgGvEhdBMXrg5Bv dh4yyztxltkEztugSaOH3/GKUagLfA61da+FsulJMa85g5X/VYqyR5ehlJ+L 5TN/4ZqiEV1GvoC5qzeNW0wYOs2Jiy73pqaaHnZbd+awB0oY+CiLG07FI/ye hIpf9Bnn3VvIZHdl3+1uXOfUm0c/eXP1hT14uM+eqT978vJrBbrseo+C3Um0 fd2H111fiiE6/oztFAW3zBNImG8h9i0rwo5aJa5RSuCJI1r8ZLbWueLuaZF/ xZXGxV24K68npsin8dmzVvztGkrzh6/RePK1ZJbsOL6+5s5Ky+644fAdMpqm fDYyk5Pf33WqN7aEmtcq3Ff6AY/QGUzLuQDLOl3y0z/cyApk5ipnKs1MZVnH jvSpaYPJhTokx2XQcldPvK6fCOMu8Uy3aMaLVjnohj3FFPEDCR3XiZc710j5 J5YuJ27jVcIzLFPvzwXDI2lpG0mHu5dxfN4XyfrYcD77OgLnNWzpoZFKmY8r 8L5rCIuOefDBt2lcb6WJHl3TeMk4hJ+v+qLpagiPKhchpy6RM2HHpLFKvPW3 Cx9sLERcqBb/7j2A3LdpbAlZAEe1eTj1Wxf+N1xo5T+c3b7MRmrUHUlS/FIx fZ8hj7ROhc32z0Df5ejgflIyUksWPms+4OHibryb+QCTimIkjWVJvG3nxYAg FSa5j2a/tiCe/GNH90mJzLFyZMd7xmx3SWDMIEdeOBBLxSYnaumskCQ96MoJ 3/W5srAr/y4zpmPlT8nb93qM1b8Of/MI7nprCN1HN0RfNw/eKh3KxlYr6h7R w2PhyAXtJ3HjlwZstqQz7W0vVjtZs9PId/BvS+XJiAsS6+gx7H8YhE8HLnsi T/N3rQgPvouvL5bD12IXfB5l85b6BD6LGC+2lg+lf4kLT90bjCu3RzM1RcJj nTR5zW0aA8vXIaYwi0Nv3ROnl+SJFy7rETn2iRi9TYuf50iYHT6cf5YuFEoB fbnztiob+p5H40orPF5cg91qF/HZ5zzSV+5HxYNDYurKbEbOjYV2gjrLl/Xg De3pVKt0hMUHCf6UK+HeFyWGpMTSbn4qI4f0oKyeLjtMvocPq06jNSWFnyZr s5v5WajaT+d6mxhY7dNAmcEeqa7chdkWG4YU/JMoXIjgS59uvNASwQVXq/D5 905saxtC1eM1eNfjM+S3vRFjhnXnw0496dPbiB71PagycxCft4VLuUaRj3cK yf47Q5ilM4ARbf0Z37c3dT99R1x/O4nKsVwGdxzN8quxnF78CJUr1mDjQql2 ZfbisB0r8XaVO51mLRCbop2RoXEVm1uaoVEtw21GiXw6VY0SzUocnj6F1ROn i+tyCyH3JpJh1wMRH7kJGj+b8WdHMEc1m7Kt/DM23vHjyn5KzAhYgOCirejZ kMBizyK871GBuCA1vooz5aoR9ujQvg5neqwSO09bs/M/W+YPyYRBkRlktnSj 07rRCPPR5z+tOFhu8uVRs6+Q11YUTu8zWHH+s+TrkuMYGvNdLJFY8uUkW6Z1 MGJZzyh+KmnG1D4BlEsx4Hy/4Wj5bcZZnydweXQv/vU+DqN71fhyqhtfhZ3D hAsGbNqswNCD83B77l0sD4tneMwzTLX8J/lWGcB73+4h2PObUH8izdf67bCv aRdXsjthSowNB/V5gr3bF0IlNZxJt+SZO8INqzJkWFv4DwfPKvKP9P9lrilc 89ABB5ovYH3SNVGQG8Kqf8VCveQ8+phsws53ctisnwKNiJ1Qbcxjwoo8nN7j SvtPYaypL3WOuBXChYtHwnF9Hn+fOwiNhs4c1e5Dr6pSdP/yDkP9laS6PQS/ cgyh1lnC3IRe7CfTX2LqeRWDq/YiykGOCjYasG0ugGbQU2y1NYe9MGH86d5I HTmZSsrP8bR2seihkMhCq5GsSwpDoX8gJzoIjr1xSjxaNws27VP4dPco7rs5 nXe7x/DN4hAum+hM2cFnxGxbM96OiIJ6eTdabi0Rq+Or8O7jXpzemEEs7YAD Ic/FzjoJApIG4GGZOiMvBlN9lh+vZwxhUloUCw6+F0mrEnj352zs9EunnCno l+/O/QFW7OgqgZ3OIzTun4yqdWUI89gpBr11gdd6XXacnMKdY6dS8/oI+sXe gh2mMG6mCTTT8tB0oQJNdQ5Y++YX5G7F0jb5PDaYr4ZZ9W7ouo2A3fRjIsCi XGLfw5tlQ1Zif6cSEZXUF4/2ZXNL7lV8dm7FRgynb8FZ+JfZ0+vgJiivjkP/ g3LMvDIeG2dm4lT/enSoXISr6/qw8mA50gx+oYvpFsz9/RT/Jkxl//GfxPsi X1ipzMGGXddgUO+I+ccbMXeRGd2W2NH0wD6ozpuHvtJ+b8lbDj2f7qxZcwKK Cm+xWuU91Pd1Eef3L8BZI6nGtv+H3Cx9OjpqM7RXoCTo32AmnZiL9nQnGjz3 5dV2Va5sX4xmaaZfcOU7SjX6ceKKF8gvlrB4uDJcdhtz5/kIpqxyoLLhVmS9 3o59DlpoCtoo5D96cVasD6dpnBH6Xz7iSKoTHyQuh05RP3aKofSMP+F3Jpxr XJIReTSHjh31qS3NYAU/uvL0Pg8O99bg6voo7l9vgcitzjxXNYBWMYqck7kP oStAw+Xa7FvwHnLhbgxbfgnHc0bj5x51WqY9lNZYmikfDRW/enXjyaP6IuWK FZNH2HFa2D18vhfIR4tSKeuUxyL5Q6LHfVUG2vzBumNtqB/Yg43N+yHp+1X4 VcgxoCZWaB/dJVyjd+BRjxb4V/gwYNgonLd+Lfo+VERWWSD3l2ogS8owrQsj cPfbYH527cUR8e5Y7OLGGP1CrP55HyO/p9BVJwRXZqjwvsEzcXlDX2meWo6E F+DZRfWSb5N+4/ZSCR9lGIqN01xp9zKQUUED6fvVhNv8e9Iu1JTNOyfgZmcf dsyVo6tePnyWn0S+xS88qTkFn7ptTu9nP8E8/pZcxlh4vXOicpQ9Tx80wayn RUiTZsNOxQdhUaTH+WrBDPgVhEHajzB/wQVoFEcKvxhjBopv0IgKQ4vWFAZ3 qRb79yqw6dMevCgvERdLtqLLg+XYpVQrSQmaj56HhnJwUCi9VmkB3ay5KWQF zm9fJlZErIOlVhO2j1mBFX+9OEQmnUqTZKj18hT+NFuKi0lp7DuoK2G0CO1n pR5ZmcE+1vdxOa0b+4zuRkUpC084KeVG451inq4irf+zot2d8TRK8EeT5xWR dSyKT7u24o2nAn/I/cNhSKhypx3/aoeJyIljUbqwXJzvGk//A/W4UlgLp+X+ Uj+XxfJsbcoWWjPf4Tw6j7SHXtgL8WO7L7Vd+sB0TzCtEvwwbo8+s13UKSK1 eOSiPiO+jKDDuQDqfN6CpZ3dmTi9FDLqNmxMH8puXerF2cfXYLZ8Erv+nAuf v6qcMa4Dz0VswIKWLFakmnHJ0NF81ncRvnUewVmPvksM3ztw0x4zvi/MZGjD NNpYtaETj4kOr9W4+vERTHSXctJuV74Tf3GztFoS+/SJGBJlR6Pv82F8qRLm m2IkPnNc+Kr/SSj7qnFPH21aqsXTPjGBOkulPTjDAPvWvoHhu81o3dyBIZN7 MXtaBvP1xtD70FyYz/Tjp6xH0FHszO3JcqJhQQb/Lo1l5/12nDtzNfpsKwJy i5FaJMNqcxmG75Fn2oxMRjQ/EE0h07lnu4Rv13fgwdVnhJ9dEr7oPxMLC1xp FNuFz+em8o72KEQVjqHFshSEexbidOswuo3ow1/vyUZrFTbtljLF4QRervGF m20ylx6M55sBhzBZQ1Hy7+pW2JeCtoemU3LsI1TKk5nkG8aG0pXY958s5xw1 dn4RVwbNJ+V4ndObV4+lceWYCPFmWR79WjOwOGUv9hXshLZeoRjStkHk6P9A nttusd5xAvOrlzs7HrwBncrH4kt+BtNNV+H4VTletD4melo5wPhHm0j4WgVf s6GM5HxcMXcjc+wQUNUBD8ODqJ89iZ46K+Bt1YI0TWmu7m5Jt0eDeddBn41Z y2EhakXiEVV+HvMWe/VbEHa7DQbFzc72svvFYYcpvBOtSG/Gsei0ivBRj2Dk TUVxtT5DojjVh2cLwrmpUxk+Z5tyxNOxHLAknf2vOIi0FxehflHCSVG3oOQ5 T7jGGoslxk24NH4g1V5PhM0hZXrm/oH2th7M7BTEE+dmsK52AOck70V3m558 1fcU9hmPo+HSY2LOQw2sea3DPV3kGdRRkwcWWvDN0KcoO+OJkyrmks+nZ7Co 2ZaRhwO45NZN9L8zGCb2E2BjGseFsarIUHClV3tvVqzLYYSnHb13RDLqZxlG 1QnELT4g+TxNC5ujVgn9PW3QH6LG80Pmov5Yb27tb0a5X3Zct3mt6BTcQUTL y6Nx0Ad8eGwn9dZsDrM9J2Q9q6F0Zyg/t0TC/+hwllTOwiHTR4j89Aevb1ti iXERPMfEs/ZRA7ZPNZC8feXNx528OdR9P/pNHUHr8Di2NoxgViNYXXsDVg0u zJZP4vW1Qdw6SkFsuWeH6wbFolrZFGdT0lmSaMfzp7NYgMnimFccuxj144I7 dbiu4sJ5HTVEjqsXT407KoxGG1Nu9wfMfteZ45rH4fnhNPQ8txHbd+nh7N8K qOqPxgJVDb6elyU5IdUV2VhbyZrCYTS5ZI9ZdlMZZdEZkzLLRKVRsYhflCic pvdnvw0/URzhgUcbY/gi/gGG6H3CfnVnWr36hcwFt+H+XpaTDj5G/YooERAQ RJl/nTheKZc7nsXgdlkvNufVo+emGigmncHFur64nqDPaDc7fivKpKnXFzgV L8FsnZE4MdyOf5L+wnrmOny/tU2oKvlDNikEcQstYbjvJR5b1KH+RBBvb7Zn 8MdK3D5hgp63e6FH2gasaOlP10/T6Oo4g7W5nuywOoHbf1/Ek3v9Ud76EwuM Vaj1cQbXjRvFKYNmikJPV9wPWoLBFwdwkb8F5/1YIHH/3ISr7evhXOEq8pb0 wH+9LVkWYM5vL9NpEgKGpyZj5uEQ3t65H6dvLEPwgxls/9dVYqaZjO/b4yns Z2LoLGUeK5wM82HPoVYcgizXb+iYEAXt4ZsQ958XE6o6cIbsWjwfHIq+4+15 uX4y1b3mipSiE3g6VJk7JtwW2ZNLRfGDiRyxvAp1Zx7hzPEj+N16FsmfNFHR 5sUTMsMocymT1m1zJNceL8fDjf258p8HEyeX4b1lDNdKvX5drjodNvQXJl2O Q6ajEpfFm2JXJHnjQ29ev3QTtYE9mdjLjTd3ZAkNqV79930CP+757aTsexUt zV8kv7o8Qka9EzdvHEKtfCN690tlWqwEK5ebsypJQEtJlcWNR4TKUDUOKTUR xXOSOEYvkX936IrsLXm8cOk4zNbLIfPUYjyMDqfCMg8x57AXn9xxE0v+TcCP +LlInZnNkfN/Yk6CMpgyCEETtHiiuBcHLwhl1L0APtXshUM5OqLx1gRW7PPh 6a8nsHB5HU4nBVMS1QBX5QReDOsBH+8ijKv+KeUeMyasEpzxcB/OvJrC3t2B e9khLHr/EC8eFqFOz5pnr43A9i1BwjbUWGJvsxjdpo+je0g8A5L7c7i/N4Pc 30Pr218o3g0WRyKTMXXkUowZI82Wigo03GQsuqwrxIdlO8TKYA/6J3lwYm53 dLgQxOuHVuDMsNNCoYMmn+ZuxdyQIA6ZXCK6aq1E/EpZ5kXU4k3CONxboYRJ ttIscVpDjPO9iUNf9wuzQ1J2u2rCBdeH8GxzLvZofkJCRCDX6dzB7zZFymcF sqnSmlbXXuDUqGlcs9WYL8eE0e3iQTHs7Tz8KM7lnOgY5kf784CsEAdHRNG2 czEWus1gr7Fu/CgKEVXfS3QyN6KJ+01Muh0pDuUeRXN8O+pje6PYIwiVBgb0 b9qIQJVQTms6Kv5K+dsy5S6uLg5mRHpf9MdxRC68DI3MycJPy1SyevdIdpR4 Uf5SILOqwL9tspC/MkNc2q/MudoTubPvb7HDJ5qv9w+gRb9fsG6eIazuJnBT v2k06PEe3p98+HRjPaKW6nLK7E042fsjKo/o8MNVB5YH2PO26RR6XxvA/LJg +Eu9uF+bJ8IyVKm/eiSWHbkqbvmM4LzekVziP5gNoyMo534Nk/8Z8evgGLYP qBQbosHp+/Lo0aEzDcKWYNHKbxhRLe2r9s6M+xLEMzLJ0M/vxrEGuTRWTeWe 9uVYPSSGCv3PIvPMTcjrOYoFOwzofi6RqjvKYH6qVqh89GYvH3tu+vQN4wLO o+G64IEjJ6D2nzEnS4ylOewVVocNoKLLYHZNPifWWe3GjZ0WFGvVmPv+K3TK /HhsfCIvbTqFC1+GoLeMG4bMV6TLVAWOlZ0o9UQ9Efo6hBaSvry7cRTNTsrx 595EyEZugLJiBuecCObSc3PErmBnRhc5S9lfnmv910h2jZSl7CQL9j59Dxt/ /sW6yG48XjQYLnnq3PrrrpjUexqiHhhgvvkfmFn3oUmSBfNXDaOcmT07dxvM ZYnF4u/ri9hR2QALaS7YvX4MJQ6yHFQ0lT0ehqBRIw47P46BZ6Qt39xxY8nm +UgUE2ixKZtpq+/h7PQlMDzyHFMK5ThP/Sve7xyOn9LMpmcwnFeuDObZTf64 +1iRYRtNsfzlVVy7dBg2hpug8ioDS+d2Y8s6WxpOuy5qc25ggv56GK45LlkR dASLTvviWlSLmDonnQYtiny9wRy9178V2VfNOH/eCXy1HsvV/s/x7GMwO9en c3LpFqySVxPtfRTQebIzDoVux+cNcaw5+R2PS0z5ZPkJ1Nv0Q8UPGcw0J35G b0XnTDUeSD6G4c1GtF3disDyDB7+9AYfFYJFccpl4fW5I3o9G8Dsax1pd/Gd 8Nk7nDqjrBCx25RmU4exvukT1FJd2BgyhIbPjSnuLBNv9cM4bdNYtv3xpeHZ CTz7nxEnmxtD+Yc9LLcF0dd0o6Tv8R9i2xY1lnfvTElsOXq2nBDm34/hRckz oWO7DGZXL6Cpezicjj0Qwc2nxKhVSaLi8wyWOB3F9j7GTHH35OL95Dm7Kxhf k4bGhlwpv6VySZA9Qt/MRbcub1GYI8+Opr687jEfVRFt6KMtwy8SN5Z/dMag 5B8oLJrI0MOn4djBim9n2EBdT5bbDd5CotAL8p4mjMQEjl5/Auru2dycrs+k pc7sfuIM+s/Yhc/KLcLtky6N5ZbDxjudOmIY8WgrTG6lsdU6j7cGueHEZVu2 fbeH8w0p2RV9RKcwBSpMymChfSNqbT+Ke3mdxPoRI2HVdRwVjHdjZWEI6zZv gLrfE/inW3NlD3/mWW3BtW87RKZuOoc+NmBusTkD7qrQS/EuTDrMwLKvLhhr fkbibVcv9fm5aNGT6slWNzYuHEStufZ8KHdH8kU+gu49Z+JZB21uuia4uqYb D/l9wPbNdny9SI75X7N4avxEmrQ04uOwnzjSL5SW94IkCZ5H8e6fHpLtp/PB r3Gc8F2JD+pOY/ysk85PWnXE1FZNqb524me7C+Lii0IsGfkQTa/WSKZ2akDM 7/HMm+/P47ovIBl9TritGsVJf66gbMgbXPftwtG+QWKl+VDejjLmhVPZzP3t TvOKuzBNtOA21wDe6XsZtwrn4WCjJYPLQ7ghzIO93/egYg8zClMZ/lMsg7+p MdUC/4mvi2xYFDISi0NX4sr8UJ5s1BJL70k94U0Eq64N41edv+JwaDdOgT09 Jp/ErJf20LTvxkURWlRxqsKvJkOeuDaV40L/4PFodQ5PnoZNGx7jUttoSdnj NrG6SMDDa5bo8tEQx6zi+L7XDVGWmUNv16GcFf4V3q11QlbeCDUH7Phyx1VE Du3Oru3fsLfLJ3SNWQIN2Xuiw+wc9tTozR1TtsFzz0949tJjcqAdnLoWYIiV PUuknnVpYgY3LvDnSJ02yG25IFnrdUPqTY+wLiGOm1K2ioY1HsI+vR57C7oL g/Fh1H2RDyWP21Az/Ieev7rT0rpGUjHRmwPVk3i+xpaNXu9Fes01vDqyCb8c R1Hz/GPxySOOYcOvifLDVzF/lSonffyIjDXvEHlhJfofXoa7imZ0sl0Ew5lS pq/sjl9+0jqqurP3xgL8NpHwxNdKSVyvCqG70493e/VjivTMvq3S/slIpf+t YVSrfYIJseG8bm/GtU1h3FOixI6+/+DUelnYF23B4Atn4eo7gN+mLMLk40uh c9Mfni+cWXg4EY7f05BROpInjyVzYMApvCkcwfS+teKDXCs2p4/Gw4IUnNP6 CqvQQ0h9oMyIzY6sbtBieIUdz9wM549BHlzzcRge3uoMr5+hfNDkh6t1viLy nztddts6T/o7jPPvm9H3diaf5hXAbo8PHO850zTtmug5P5qun0tET9k5eDWx j/OZvHJhMj+I3+/fx4qTgySuj2/ggmoLzL8P4vfuTsxp34v3/o9wVGE7rp+u xZJDVlyieQ83u0eIcSH/kDNms+j/NIctUvZI7GeEi7cLsCM3m9dWyPL3Mxta bdHkxFUTofZmNQ7v/4WGTw5Ib1oIL6XDqEnqI62psVQn/2Cl2zt8lmb/sE4j mL+rKz1bc6i5tg32lr34emNvOpV4s+29M1VNwCqzIczp4sEsDVMsvJ/Npaov 8Lk0hffT7yC2eb7k7oGVQqwYCZOMftyyRI+O30xwe28i5/u689u9YOo96UL7 KG9OkDKvXNBAIiidvz+o0SHuMZw2KvHtmln4PH8sc/4byUwHT8adqMGLV3+g 8fA7NtYN4sdXvsyveozBOUeQ7OvN5980sbfNid1cwjj6SYH4bqFKufEyjKzf gLs3Q3B52GMxMmsSdbRDOUg1ihPzpMxU7wuPD//BulCJKY0azKsOhI36dPFn nw2D91/BkE2B9L0+kR2N7TBM5pF4UxfCu9pTWSfNuc+nd+WwuSlcnZrJdxW6 NEoYxpHeh8RklWQmLYpgmYYrY2IiOV9PlWkTm6DvlI4XNSUie8AUXp4zB4s7 2NAh1QQqJQPpZtWMqL2ka5YlNS52Y+hALRbEm+PbHz92u6TOP4ds6Cs7lpH5 iRh2UI4jdduw5bAco+oiuU35K+I1pXc18TZqLqTyzNYwvjOIYreK7+g+5A++ /hzI5YodeCfstggKfyAynEOZKyPVs0dT+NVzPFOrraU6dQMeDs+wy+msJC/1 PPLtRlFj7iK8tPwP6kXDeHygBzumJ1BY9+K2Wuk+BjYclLsXGzxWwuioGxVU MtH4NIY1Zd1hdGGFqMjwYcNnI9qtGIriZgktCqbi0nJ11na04KUJwaTjSxFy ZRG8z3bD7o45/DJjMl9pRjLTS5vTXmXztp8ZjzsN5pa9o9lTUVZ8iwihqfl5 tHi78OkpfbbaaHEHEiEn9BjY9Q9eluawala2SPC6gwtjjBkR8x4FC1WofyoX JnL/sP6lI0dPMGZUkiHb9rXjp9IUThuijs7nO3OlvBqrI30Y1ZDH6X9LMCHi 5MB400GIHCdPKp8SVc29eG2AlTA98QRLZ7oJSdYUrK+/gMmr1mBNXA+urI3k PZk7onHAFTxZNAfNVaskk7Ym8fUVeSp/9+HPuEF8M08FFg3uUPhpxzf5L2Dt GUBPtUI0ZSRx9/5GMc3TQnQ868qaxS7kyCOYMX4f5tl3pv+GV9L7zuO+uCZk vXXmLIxmxvholmeex/10FX4M8YWKrVQ3E1Jgm+zCuwb9mfrsNXxuB3GhuaUY YDEKQ58ncLkI4Y9bofjPY5c4InMHL7wCeGb7diTlrsOrr2n4PjyMTa6n4N5p O+R375LyZTpRHM7iVwth7LJCjI8ogNezQ5LrQ9fD6I0iDzS3Ya/JGAxNGojV nl40OjCdlWX7JXtWLZFsW2vLHwZFsP4YBEWZjqyPc6F5lBKx5xPavIdzzY2z ot/YGlgtXgntyIlUShnN1E+WvFm/CtqlV5Bro8pcF22ayT/C9ze57HtxPL8Y 61JmuxOVxrxC/Bvgvz82POc5g/dedObc/xxYFbQTO1/r0mv/Z+z0vIZZbjYo zOhE96/v8Kk6DocuzBR3/03gw3Itpq+fxhkFWny5RItV7UropWNBvdqlIi6u FV92nsPIw28wfgFpEmLMOTt8OHZ7OpN+eQk5Aw/qVLmx6VIPtj44IQ4sHo55 /TaJX3cO4KbSMNaOnwOlikGoWvYF63pOERZiFPfXOTFr2HB+3y6t4xsfbhy8 HWts5Ojs3I09pTVpqHDjic0jOe3ORbzSqBWr/aQcXu/IEo9GqIdrQ/ZjNMfN +oKYjOHsszqct7wVOWm8A7M6TqKR1gbJs+b+fKG9UPRZvwFLeltw7ZWrMBrw DtbrurI7O3Nxxx5YxXO44PEWv3slMuRENvvIaUt7TIYqCqmUaA4lpb72wqon q8ftxMFLU6D/aRmaC50ZmP9MlH7Yi4jZfsJCy4UWixJFwtgKYZ51QHLwRzrL 11yHttsfXJDvyzkLpnMfRvBo8RnnN3OUOLQiH9PtBG+/PYn6cgtq/ZjBDU1S npybxmUffPjfvi8QETI8kZhGyxfGLNG3o2pgq6SpKJRpi9XxyvAMslUHcpiz Pd3njEXYk/7c7/8dr/IM6VSTxETdvc5749rQL/AO+lWqcm5GCN6pzoN9RW9y hyOHH6h2brhvTKUDYayv2YrqmPvY+VyBSbP/IWPifcmVsjKMGmPOyZtzOTK+ JzWWDpZqlHRm1eO527QZm5/q8Xj+ZL5fWIXC34Zc/lafp64PFl8WqfLU1VgB JU+ccPei77mt2BT4EcE546ihLidqA/WYmeSCp4PWwE/GhcUBqZx7ugkGtu3i vjS3KPdciaU9NiEvJpPjwybhoDRnrn9QJg788mKHsmVYdMMHWpIWdKusxunK JbDfIsMdPSexYVMlnqjpIdBKFyvDOrKzqZTvGgax8KIyJt7P5KNdS3Ak3oy3 hl7Gq5THYsHB35juuRN13gPw6U8V1GJjWdP7Pm7WDBAP6MmxWgfQeO2B2HDV kIxZiuOdTkLnnj77x7bAv8GPM49789rd4ZiZ6UzPIHtO6f4evcMfYmL5bUxP GM4QpRfCp9VEtBbcEHeTdHiuVo5B/RSplboNtuvdkdXzFHYXyVFpqSZzH47m hcN3kOrnLxmoZkTnN91YNmcKP3w4g+rOXXjeLJwRTnncbNiRSfGKKKm4jzzu RCd7HXq+jYHtil+oOKKGAttPWHlPhs9qPDmpxofLlhVgZfkmSZc+55x3ly3G LMVgDF6lQvmY5xi0QZfqWX54aPZ4YMntBrgfdMeoF6GMm++AiI+2LA/S5yv3 vSI0yRwuJzTwInou2t+H0XNOJSa6dnA+5xnPAQ8dGZabimNHtsKj7KbE+8Qb aDnpcZ5NDW5SFl8OnYfPbjkaBJox3D0GXq/8ufxgAMxPmCLN1okri21YUh1A tRoPJi51ZXejWTAdfQl30ifw9NVTQm7DMnFLuQaysSZMj6rD9t+foH46mcG5 r0XLsB1i0PiunMwATpcN4nXNm3gVNkLS0iWcgz+24le/bjC2SOaHrzps+k+P x25sxLq/l+Ao80Y0bepJv0I7zrKzZcB3aZZ+P4EJl54J+4IMlir8xs8+Bsy4 vAPa1YboOUwDS0c5MKpHMLvsmof5MvE08ivE0OR+fP3PgDJxGuxl5MRVOwaK nYu3Cjmvr/iSlMLcf2vxM7QQU0osuXPmdGrOyaVlTTRHhXpQfcc7sfKYrrDc OYmIzuEB5+XYW5LOgGLQY04O1ZuTebjKjjUlqYgtuinWKTpwvvNr9FCczrin Vrg4YxCnmxtT02cgF99w4mFDT96ffQgXpbn8wotBXGGpwA+bRhNqR0VzykK8 qYzgVcvJ+OcrYVNaZ654cw0S809IWWDGzgvKMH93LAeXNMOoeIv4Hwfn4U/l /7/xSKJkhAqVTSTKHud9XRmJhOyShGwhhWxp7yXtpL2joqG09x40VdqLVJ9K mr/z/f0B93mc+36/Xtf1fJ7HedwTuvtzbpU5m7p408DTF8c/NYqfjRHMNBzD 6LFrkKdnxbWpsvhjOZoFpsP5Vn4err6K5834CUzSfI9dYw1hm7YSFu+H8789 BZKRCX8hekyDu28pHBJGM83xumjsqovwob58djBSlCor8OlxV86Mlc6yRwID 76Xw4lUzngmpgW7XyXwSv0jcD2uGRV0SN+ZthI+sH68czYfyN1c23PonXj6e xCNhfZn5QoZGNa58OcndpWtzivTztbh45gQq6pQg+WcvjpSJwt0/alwdUIBZ w/25cHYoC6Yvx5H0TdjXZxN+vr0kYpDH1OEawqBiCmYPduL0uxnM6pXMtwu1 xFhHPZ45OYybPA/j9+YhUI7PYVuoDAqP1UGlZ1eu/DeCv857MkApjgvKcpkn bGmj8RR9JgxkeYk6lPZo8+nGIOCDEi0Tl2PvnTZx9bwzmnd487f+YFZOcaFl +iWMe7NGuLp/wp+0s0jr8UAMzA/ng/OmtJ09nEe+W1JFX4/6il6U7zGa4x9/ gdE5S2qdng+RU0CDc+OYciyCUe+e4djt2wg5VIVTOSvF+MWJbN99CVO7qGPL l1zYjp+EOVtuShnmMI6e9uSy6R35OR68/LYY/meTGRk3Fy7NWrw0rBzVi0fR sCmT3S3VuU1Vhq/lenPQwuk4cuGIpN/raLpsWIGx886il48mD5+25Iy27/hy OYRbb9+F/DlZ0a0umbcvQhyOG8Szx9dBJqqIM518mHdtAM/aJeGEsTwVZQNx 2f4LfL+dFLUjdTHaJZlulZXoUmnFVTapzPYJ5fS5ntLdGMk+RwrZa4ojPPT8 MW7kQhw/Mo4nV3txsEkCP3X+BIU3g7japhnlwdugFB3FzstkGPPlNrZnCbaq LYb53GxWXEzl008uvHtCD6e/bpYsqLFH/Mo1eCDdE5sXrgwz/w8TfDKIhHQu PBDHgh3N4oHNCyhnBGFMlqtL+4XrsN0hZboNOewdMARaXh0Z7rkAPe958OAR ibN7g4J4deqIOH3oLgZfGYgLD77Cs+k9djxz5dEeC1DRK4j3diqxZrMGD2VU YPrKkaxTncxOOcVUSkhhvp8Be4Yfg5fsfqj/PSK6/FThnsn96HJajm+CTyP3 wSCumGqMqcPTcLNfOkYOjBGrG5fi75koJh1fIvn9zpmvrn7HgLKlWJGmyDnr msXuytuSPjalklvlfTir2Z4Ro4fx87/9wsHCEJrGUQxWbRH2PoGEVhfOKryN A/9Goe7NdZHl+QJelptx+qoFihOkXjTfH/Z15M/bMjSbJCcGz2vFl9pS3JL1 ZtMjGzFI6n2bBu3F1uPDaeqewG5H1dlS2ZvKSR1ZMaUXD5iZ83R2IvUqirkp RpfPX3XgLoO5OFvkRbVDqtxyehwvHV+Fo22XXMTk78itKYHena6U69aIT7u1 kJpkCpOJPaG1bTxPGpdjQWASR9VEsMX4PXqGynD61AgWzJwjWdzWiVMME6gT swzlfjthFWbH26GL4PvdjyNMX4uLfXzY7VUZpt1aBLu4z7jSpwl+y2KhNi2H pV1NaacJUTVMi662z4WTqp5ImHxfFC+8gMI5tjyTEcizO1Yixd2A1pcFdW7u QVJ3KcdIvzsaVfi6YjzbHiiJa9dfil3hslSqyqX57gAE+Y6k+Sx7Fg2pk1yf Nh/XRYrkzgor6veoRbNNPz7tXcimZa+QnrwZhfHqXDjlkIhQGIj4l6rQc52L ne096PPaHGXSvYub8g2pfd5LO8Ga9+XdsVvY89DZx3jXCDzs2YdqK2sw5u1z 4ZPjxtQVsixNSMeN8DtCsSUDH5+FUSasmB3k2rDGoCfN8ltQVRLP1fqp2Dtw JK8e/YTG5FLR8bM6pngUc+PPbqL7HTcayY6h/5zh/LCqmDqTtyOgfyA3nlSh zcI+QrtDCu7eTOMgKxtOrvmOZl8P1Jqk8WjAdDyb7iUSE0+iQ9Ix6E3px3Ff tJitpMDUfT2ovyGTbqPkqO12BEmfH+Pe63F0Vh7CaU/0+FCmGTI3FJDlp0jX 03NRLGXcufHD+CHFirEjO3D07J8o8WvBlV5FvLBxi6THwC7cc9NaOvf5zNIN 4ha50UjqdwP7jxySPD9YyMDfn3Bn01gMNRlMjR9LMHxXN67xn4GdM7fi07+u XL9dgxl7B0D5RX/Kb6lA5oE6WDkpYezlr0ge58TYsGp8rg6n1ZVinDxWLUou /IdPT13YXzWP49IzqV2syNc+Xfil3ZoLBlagruSYGP1oM5QWWnLgfT+OHBvF 0md9qXhNi2avZem4O5YNFwu5XzUQe4xaEV5kx1uR88XYScN456cZv80IZEhp Z7qOVuaFGBmavnuH1S880GX1CAyd0YAfer74O7g/k4bPh07+ZpjaF3L5t3+w 7rwGJ4sGYP8aZQw41Fd0OBZFzXMPsbG0EefDvNhyuloMepzJuAw3yi+tRsft a9DrZSZnfkrhimWmDIqqQa/QCow3TmJ9TBWalVSY/HEvzve7JNw19mNF1Gg2 IJZel/fA8fcVuIwqh26JAa70nYaa1/slGXVN0Pp7HO/MliHLwJpq4yLZtLcM V19YcdqkAxhxwZwHp03Ha+NxnGYq4aGJkSLWogNuv1HHh4/lUDVKo+wbdSq4 TMWN/A70zNsiUl+oCntXCY2jG3CnN7m0zY2v65tRJUolb3L9YTLkK2LeDmOM oQlffB5FjZpaLHd/AXun3kw405ERn9aL28HxlPM1w97MPsj51E9oXdyP+zED 2W/Pf9BpdWXJzFLhMX+rKLnszH9rlHhikBz9K1bAKd6TvpHdGSffj9pfP4pG u2FUWeIPpcJFuP80Dikf07BuqS1j73bikAsHgZtxTMpagpgHguKoO6/FaDCu aRpGNw7kZos9ErUb0gxvb0aP9/bYPcQfnRLrUDdJnUbdX6Fk+XgReXwefINa RHTlEO6dpk9ZewXcdSvkc5Nm9JEE82HPzvR1Xyw2aGiyrcCdHmnBTHW/BccO LizJ+IHTU585P65qF4cVjuDyP1cOXmOPp/NvCscvdyTldTp8uVmT+UPDmHOm Pyc4/sW8//Yjed5f+FWpc3roMaRb3BQTfxUzTi6E7evd8GerC1W3RPJ8YyDy 5zjDWNub+t3CGL8uluG7P2FcdDJrIsJ5TrVWTD9s43y5QIuLGmah5OEOTJ6h yzPZu8SpsjBoz7PB3Kdr0SuxIzfaNIry8A6s7TETkUcuCr9nLzCgrwubXqTy 7Hnw+ywH3nxKur3QoEdkE2Itw5FmZ8Z86wp0mjGaF160IcbtnTBb0Ai7K/Xw GvUdP931qXQzGhvtBPdmDObBcz5s3ebFnvNzsTC3GoFlA7Hi4BZhuT1fDDqa jMFfXsHrTRC/vk9kbqEVZfRTeNhvKspcr4m47XY0XzsLFsNkaC7dVWtrUxYc HsAVStehFxfLc+cKWfEhlVuPTxHj+2Uy5fgPeJeNkLK4BjcNPyisrkp5NPWk ZMj3f3BqthO3J0h4JP+CRDG7H8Mrt8GuYhbOq6dCefxTBD9Wl2S91OaRx1VI uj8LZmMCOThso2TLiPEcLi/N1+Flouh5RySf2YSMEE/sSrbmJpejGNm6DWts Sh01FKYJ9/t3YaNeiw0BVty4u1h0XfYTCmeEy4bLZpyiq8Os9ZOgdKIPSy4t hnjuwXC7gZT73IGL/gnaGurj1TQjrvo7AmWrulIx9Q90Nx1A3FUl3pX2xKtL H/BvhSbv1D6Gi0svlie+RFGsBQum/sape29goHlKzJurzwWa+TRMvCDaH/Zi vnRHIjoEUHPYdKFgZEoNg0wmLPTkuX5W1NVLxlEDfwa9tOf7jCG0Vy5k3sd9 qDW/hTDF1yhr64FfHo4MeVyCYGcX2PTfjdogZ8a0uNJhmx7r31wWuybrUqRm 8d28DG5+HMwzPYKZWy5Lzwn5bJEyY/niqeh//rdkXHdzuizuyUsyIaKruINT y1rxrUMnNvtXQdttBNNOpjBpWaPzg/Vp/HGko+RYpR12667HlnLpvYc6s13K Jj9V1LCjzYmVFn68ajCRf4tHoZdlAXuGuPG+XRi2FLRLFj9354/LjUjUWiz+ fLmCB7Xbse27HgdO/YRfN/S4oHY4r/V7C+vCEA5YOJA2A78iPX4qqp6bcfcJ c16f3otmaZOEtlMLVl56hGM5P3F9ryfUDxbRaFoHpiy7ibEnv0vmhDjQ6NAH BAwK5umPE3F/xlLh45bEQ9au2N7BhPsMejNkQhSKFI3pZNgdVyMnsddnTT4c n8lTmuNYb+/AU4HOnGdUJ2zDg/m6Mowd1kxmdPcwYPJEHqtOoU7ed8nb5GKM 35uO39MUeHHjJhyw2ocp7iOpojOIU4rkkKZXj1MLjWjmMYb24fm0jtuC8gea ItBJgf+1+9LMJ43dm2qw7dUD6O8fypIBR2AUvg5bc0fjrtdsrO7kgNj5Zlgp ieD5fbZYc0Ca4fODmW5cj1a1Qm58WMgqlSHY5WYAnzULMcImQerU9lTwEFSe m4vzLzWYLfsNhs+KucbOloaOrdjUpw4rHo3kr4V9xYW4ekiir6GbwnjeyetH 8yUhnBWqyk0btRE+uAFqHQ3prP1PrEt5hmvb30k6LzTEP/1CllsqsLnLerEV Q7g0RHAHA1iuOw+VsobclHEB5hOS0XDAi+cCDuLW+QTKmFcJ+Z09MWvBZRjf 7seY/jm8WjgfXxQn0VC+P+MaxrHD91LR83QYdzv0ZkWPBF5em8g/cw2gbLNQ siSnGVsb5yPy6ROsbUjm7MZPuL7Rlx/GKHKjjzK/Kmkja6MNW4OqYdL8QsRv bYTkURBrR34VDZH3obhlBLUeWUKrhz6brg6kTFQcsw4ck0Q8TGd40n/ocu8g ZqgpoNvSSdgodRLrgfbsXDMd2/wS+c3Ykj4THam9Nkf8UlamfGIPbFUYTc3y TD6R/yG56xUlfh/x5on7h2C7LkkE9cynzQNXKno40buhgKcnzcB2WS1+d5oF w/z3MLgWx7LvszD6oSOTT2gg4asC+qkWsB9bkHwlmw4VHVB5uohOawypYB+J hhwtqA6yF/alEbwR9gEtmzz5+48O9Q3c+G6HL2YtBK9tTmRnlT3QHdSM46NG CBPZq0j0DqOmvClOnt4o5d4RvBY6kd/2Ngor6QVn8B6v9hXwspEbrb1vw2r4 GH4p7MaHgV/R95kGrVwaRcmPk9i6RI3PJn7D9N59+d/Y1+KuQwbiCprxfM8l +M1zZlPuMMz5Zs2HUuZzDtJk2Vpw7BNntgT8harlDyg37UVm7EVkvIrDjS55 6B6ST3tJDtX8wzARkzg/w56zrUxpses73qLaZX3JAgzcegNO9d048Zohp/cY zyMukzl/uirWZY1A/nglLt8wnBOVPJgicwNjX2uyj94fcWGvJx9W6fKH91fx 5VwRc15F8VTmLRzMkQXvDqCyuatwMTmG+mh3OjXMEkeN7Ol7O4+Bo2zx2gm4 PxJ8OCOLO+574cCl+zhltUyS27EX/8tyQp15NJ/tCmTVS8GF94JxW1td8Lcz HbS8oeP+CYFzC+k3t7eUKZbifsFNrEtS5ME8NXRDPrq8eSYUFO05rkWd7vZ2 widmC5TSWrGjOp5TLMxh/qEb1w2O5kH3qXD5mkotdekZ7HbBCNzAjBvXYCZn LUYr1AuFSa4ozk3DbepzmdJSRM7Io82uvpxaeASmCt4MH5LM1qgvuOQazTmv J9NKIYIPrmsI81AjXjzpxY9vpiBkyAlo2iVxs/EeLDKvFFWdd4qdQZ0lTbfj mJ21XjgcjCEbh6F1zgusfRBNz+vFvC51mcFryGmao7m3OZiz0qthVZPIuy9T uHR1GlMWesNAOxTPbytzyWFreoaUov1cFq899uZhVxPea4riBdveyA404TLf qahfOR1qQQ40tB0p5uf24c+/d2Ae046kpaPZZWErajqYSs8whpIJphxgYMvO tRuhc24MY0tXoGz3OP5wcOTeTnPQ4/Z6OFwLolmCPWs8JvChgi9TTOUJGxux I7uIJ9clMXOTPrtWD8DKZxN5fUEZtu3ryME/TWk/I5935PSYHHoOgYvGM6d5 MEvfBvK943gq5Abw1oK32NvJDeUJYFRab1q6xfP2AxfWHnWln/NOnB03gQVS jkV4ootB15MISe/Mk4a/MLo9jwNmhqHq4nDOyFyLcTtG8saPZsnBuxswukDC vmMncLbZF7z63R3FNkNZm5vJ+kt+OGZyFZec3qNX2WZEOs7Hze069DfuwYVy w6n2zpzvH4zlmLlaCGsqot7amy55MevEyow1mFWx18XQVJtrsQoLDsbR5Mor eIdUoPFaH/HaR3B6Tydm31uP3IrnmDNoC84YOTBk8XNhnjiQN9YOZpJ7jTgV P5HNKRM4ZX+zGL/HGlfK7BhXk83WsEnCJKkLZp3YitDTbXjv/Q5fsuzp/mQt TA7uFnEdOiB5sdRBlT4D67+Ay7txckwRLaSsI1Uwmsf2hLn2Gona10Axc1lX GKpWQ3X5IE7amMKN785i+9xRuLJljlCttcKBXwM4PCqaaklLsL+pu2TN8mKu 21kCK8sStO8Np8snRfG9bysGJAdxslcGThd3YfOl93h06pjosz2W/v9uS6qf /0EH9TGIs43g1XvGXLFHg5duT+SbB0OZZNuV+/8ps4PCMsjucabFnlGg+yUE xu9GjyNGojSqUZyZuBFnjV+i7EsyI0f5Ma5lE0TvM3C+pMKhI66InSecUbTb lelZCezp/goByz3480Fv7ttejjTvekleiAYX7JiKNW4F8F6rz2eTF+PSnj7c 21mW5XleXG3+Ag99QrnRSHoP+8kggy2wVpLjvt170EkrhLYrLblj4liMuaJC +5spUP5rT/XbpdixZh5GOXWVOnAeZy3sgZyICI7d0pW/ep3D0UsBNLZzxr6T Tmy/OIJxATXIWjeYE1oDueNaT0ba+3C7QhBv/LcKnb1dKOSfY+qStXCUss+j hZsRJfXVytQgts2LoNzNGDrsD2KZqTvOX5pM76cmnD5cyl0JMZLKlF+4qzaZ bi1bsLJcC+98oph31ZaW60LRdrcvZCzGsH3QWWTJJzCs1o8BQ1bhycowft3U ihUTlqK2jwGnrMuUus420N+Cn28GsKDPEJfeG+dKJsm8w0FnU1wwJb13xPGx ixvV66P4e/FpzOw8mTMTu3KUihXqCx4Lh7TJvOwwghvLO8FjajGtR2wU7ZcO QF7a+7Gr1TH6TAgGvxiNM1o/hNqEE5IT51oxq/YmDP58hUXTVMmS+GOIXvIN HffV4uZUW+7JGIKT+oH8NsWDWmteit6WG8TRDDU8UOlJtZhA9g8M5cHFPvTs k8YPlck4X2PIlgf/4JY8jE6F4bTsIrig9Zv4Ur0e5imD8Sw/hsP1u/Jn83pJ pdo43rvbjUf8ZHih21SRJxcFjXUdqPAQXHvTj43x8/F2uyPXZx2D74hsht5Y JJZP7cJBFwSmHHqLuB1G1KjfLxbZdMDif3Ow8/ZrSbRZiVCZ6sQLLTcwu6Je EnJpAVQ+J6B+/f/+2xqLKfUWzLg7HyHTZZk0UYkN3j2Y1nc0V+2oQ1CdMkPO zkbnefF0LPVisMsVNCZ4iAvOQZwUfxJeM8PpVaPGH+EurGz4T0i6W/OBnhdf uGfw8uplGPn7EGI6T0Dc+0m8dkkGIQ/XQT7mFAq9q7G/sE3IuFmzVt2Caz0u YNugKE50sGZznCfNvbrzZO8b4s3bO3ge9QqBM25Cd18Kr8/vypDfn1zmyx4R l6MPIWV1HFd37I/wKyaM+HcckRUhLN4yFccCopiyqBTb7LXE10vJjNp3HEFL LOm9dT5G+X/ANpUPKL0SwpJ+rzHT2Qp9ry5CZV0BjzZIGBCcgi/XQ/l6ayT/ Zdix4mBPxuno0635ieQ/W21KJhlCL9eKS8PVqZvUhCAXU67eOQ9X8lPZXK/C 158n8v5ZcymjLMYduWhuvHAPtT1qRMHUs8L53298WrtL+O7woMd7Wb7uVMQX Cy24JaUTBxqW4Nfqmbh1LJuX5GLY51ckez9+Izl2pl4YFStyzWVVcSX9En60 KXLeou7c0E/KIW0+dLIqhpJ+BpX2DGZezyGYXpvJvbvcRW3OWE63z+RHo/dI u61JjJ0Jvz6r8WrMUN4LW4WrOmMgu8qb1w2DsHi7Mbs267HfqclsfalKtS2j OL67DCziwxjTM5WOGwbzpuZE7ntpyHeGSdyy0B6up/riq9UAaHwI56NHIzju nC1Tbxry/OdwJv1Q5bJFgzlLzp5efrvwpmoKdj0qwcmB4zg6P4IVp/tSs5+v ePNUg99ZiofLwsT1L3p8NcucUZtbkHvWkLq3tFj/L5vFu32pccNdXFpZC69m a072PIWLmdvwfUsC93QYwGuaJ1ETVyTe71bm3XdtMH6eiXbFaN6e6sG5eU2i S00NTq1sEjPix3GJvjEUlJxwBe0Y423Ct9MXwOSVMuud2vBlWxCP37L9//f7 eo87g55zw2jwuR+CHZYgsBtpZzoCPkPTcFrflMaVsTS6msd5duG0GfsEDtd3 Ysuqdoysk2WuZwoimstwRPIb33UM8bNPG3TlbPnG5BNWOdZhcaMSb3fTp2HX Dyg3FmLC/OHQPurFxMg1WPG+N895JNHq2nXU79aAXdYvMb5hIEePk2XHG+YM TxDUfTOBC95ls3DbF8QlmXLFx65MD/qGO7Kh6LFLkVU7dHlgmSIrBsuyw6lb +P4xiLpzrTkjX4nd1wlaPB/LPKt1IjlUmRtHHMDdTnOE3QsZpFmm8fQTfTb0 +SP+Wz4PiyoGoHWkjfDNk+bbuwweXD6S6yqTmdZbj3I26eyy/A/kA6P5VneD 8JraiIQZn0V1yFAWXT6NLjsHsKyhGY3dTPkw9BfU6zIwJuEcXvZYjhjpbHVb kYfDmr/RK98b7z8InMnZj6dqWWL15x14d8+Bh4KNsaNmMMcdDsT0wzfw68Ei bJP8g5mMAwKixvLxBysx+uhqdOjfjRtVb4mfe0Oo2eMcjONjkXHyuvh8aAQH vH6C9VdK0XDMA4/Dh/GLsyI9Lo9hp2MDqJZ2HA83TUG/qBDeGt6NuQPNWeE2 DCNvhmK/8lL87zfNXqPeYe271ZjwI4/83/vP77uz3OWQME48ho5DtBmf74Tp 3SpxarED47zHQn/jdpfRpz6g8FAybtRqc07oG7EhMpReJedxtHdHqhgaYzh7 svVfCrt5j6S3szxn3+uF0Uc34IK6DUe/G0TLiercmytHDgulzI9ERv4NQ+vt Cgz6JwOZfyrQnVqH+Rt6MD72ogirGEdDuSDKJt2C2uo7ODVdcOl/+iyLPYYf hU6i/8xJ8PSyQI5rXz6bsAvvNuYgU3p+K09Zc8+lH/h3LxVB+Ihi1zHs6/QO OYUZ/HgrjOfb9FiY8RjbL2wQ62P782thfz6fO5zOntZi9f356Pz1hSitHkrj rTE48UgNVg/a4FxgwN6Ww4Vat870OV6G7+suwWvnEazUHUi5kEbcP7XYpevt 2S5fNUIos7Qv40cpcJTyc3y13S68fNcjxsGQqS39OOHEMOzIrkVBp+fIe9yB xavcaRR6X9p1q8Vu91XQOjmB3569R+N+O1Q9iGNoRAHrL7/FpB6tLo1PTZkb MYwOk8ezZdQtVNmEsEPyOD41PICOT58LO5mNYvIkX+KnLr0uN2GotA+Llqmw o/tchA7qxxCjeM5JDeV92TYMu2OCp/3SqXfPkAUTNYSihTHfKdtijVFHrgg5 Kppq7qNzoCwdXj1F5sNEWqsuR6nKNYw/qSy2DuqB6ifdGTu7Fdmv8zkiQZ4x v+chxC8MeXnHJV6J/0SeXiFvVDdg3MEgalnY0tt9AXZf78EvU9KYsHsLbikN wNpTdzCm5B06fZ5Mba1itE6bIh7/8mJz2F6JTPIKfLyWwV/ThkLF+wFStycC Pzdghso/oRN9DAdektu+DuTsInXu+m1AWRZzOfyxp/MNPPDoje8Ws0VC4WwM unEBt9y02dq5DlPvDGPGQmPevrdTmgX+7MtBVHwxgFGnWlFwuAqW20rQUG/D ORE9ENN/Obrt7kXL6EZ0fjgKE8Y543rLWsT18+Dew9nUPuOJGRf3Y9rVAax3 b4HfjVUY37tMlOu3IH/iRPpfjoKOfyAGqBizbIcavZb+QVt1iOT32BzaWocx e/hzWJmcQVOHozhoXYzj0tysWqDI/Xvew7csnXsS/aU7fQfRwb/QMkiVM6PX Yv0sdxqe10M0dOiZ80Q4JI/k8SeOyLVz4q7YAA6wMuejeVkctuEu9N2mw/to ASMT/alW7sZHk3Npvc8LwbM9+fBIMhwnd+SRmBroJJ+F/PqO3HCoC08t8qaw d2PdAGm/73qECVqdqf7jBHpnXQPTurCzXSQ/2ZRgZ8UZnJSMZcEgPx53dafJ uFSaLTnmUiRl2YACZbiErUHlomh+6uXIIFtZPrTvD8UDIfybIUvz8g+oSzRi 6IJIODodw81DnfDJWYkOvafiwe8FOK1qjMBZQ9lmuV3sFAvgL2Wz6orOvFPj wj9LAtkgtxj//TKBfcd0/DUbypRlQ/g4fDK/vehB26X9+f66P6wmduPW+B+Y tm0ME48pIS/sFlSMLRk8PoOPfj7A2GR9bBxTirQB1/CoMVsk5J0R14LeIauo BAmlL7BvvAHHXBiMq5rLsH/7KqSf0mTMRV1qH1yFpsgB0J2RwZEDvmJp1HA6 1Ply356p2LJWnePj/6H6RCG85a6L9HsL0O74CB/7RzLBXIcbc86gzaBUqPp2 5dEXwVguacfvzSXI0Q0R/24N5aVBZfAvmQO2F9LkLnh9wyjMLFCn97l0/Jz5 Hv+F7hZHss6JFo+7QmvYVbQFTJR8OHEDPWYNRWuMOsafqUG3whz+3fgHVpM/ 4ETBefG2xoh7A8K4a5AOX1j2BibPF79GRrDcvQe6lM6H9eI4up1WQsr6BC6b K4/uc9JYnPkFb2s/40lKEM4emAOjE0XMPVWM9V7enDtUBaKXLJduvQeLs78g F2NIzbjd+DHejjnyv2B07DdizZPZvVmac1ntwt7jGS56vMfVYdOxO+YVZFVL hU83Q06wT2PE5UE8kLIC3aetR4f0i1CzUmJTy22RqdeDZS0mfKSXyXNfV+N+ zRrcmPhMfDl9DNWDF+NjQaokadcXuG/qh+c/+sAhWcJH5Wp8HPEDOc8m89wN NTbJDBXmd9pxzcOSYQvB7OPu5K5uTHhYhYV2x3F83wMonSbTN4ZCEqYuCu1V 4KnlgS+Zajy+rjvj1v+VDN0TwhB1Zwzz6Ic5emSfsEb8fbUFp6frYFtFJCtP 6eDmikIMrM1lB/8ijulrjTlZcySqf/9D7dxbuC3l12e5E2jYHg31RbbQ67Ac l4824eiPDF75lMHYxldw7/BdkjjTU+jVGjB33AzczDuIf80F9Hj6Fwrxj7Bq iydL1w3GungNcT6vBSrDMsSahX9wRNWDV5aeR+TeycyZ4cRBbRbs6RNAGc0w 7mQDGvv25cWPB10srW7i/vYwlnTtyxRVK844qsW+vlZ8/pp88nErusQ9cTHW nkzl2xnsf9eUS5t78teQ7QjakcwuPf3o+N8RfDMvZudQI477nsrQ+LMI0d8J M4NK5L7LZUJbJ+b2c8VRH3X+6loLjXPqXFuRwxGGStxuJYvbRrackmKLb5ES Lpi+AQzWgUv/WCZp23Hm/OOYJb7C6FAN1kx5DSsHB9bpNqBzZguyDw/m/Kvj GLyiKw+4duV9q4mcchhYsKYL2/Tlub54F8K+HMCM2jBuWWqKpAN5EreiHFgH aLDmgDz6fZ/IV/mubLwTxIPfk5g9oYDOLRGcdz2SIXImPPd5N7ZfeoTOAY2I 872IGyNG8t9qCzYdt+NI0wvwNPsOH4dHGLG4P/uXx3NSS6PopFfM5qfdxPoE dY6qdOKtvg/EiKIEVNy6Lnoe6ctEmRBOP9wBA9rMOMpkMR4Up3CDYle+OLxJ dIjsRT/fp3BUnMhtFpnwOJPH8+9/4MlQB7Fu0wkovLRlrM1w1k5NJJ56ceXh FC5bHMKmP2P5ZoiUV39OxtVvk7krqxt3n2/DhMIcvA6IpG9rJN83DBGJFaZ8 c/UbAmVduVZdmn0DH4mMx/JwfNaF+Tdmil4rpuDctRwxa3tPMXxQKpTOafHc ma8omRhGnabluPL7Opa9cEDPLGsqh/bkMrFQWK0vgs6yELbO82fvj335Y6Ap 5a7lsb2uI8/5JXNzpgYVn5yHosxSyCloYtlKOz557EqdxZNo6qfCrEXHMa8+ X/pcgLaRAaystmPaTFv6VEuE4r0DYmdmO9S0HJjvbk3VlhLJ6PYEvtO0o/mb VNQMjeawtcp0PnITnz2y6TbuH/JGXkXDBUeu7T4bDdlfsObQQMjMHInXs3Ro 4GTIRfYF/NO9FxoHH0Cls4bExFCGfjnudEtsESfmZ/BTkAYsrVche08Mg+89 QpDZXRRK+zzxeCFmZM9D2JoD4o/HOZQ8yWHi4pHs7WLJ+rfL0NblJjpbmvNj xHVJ0/ww7ldMlUx2a8Smbi7ocOe1cG7dLGZdUefxxe48mTSEdyxvI9VyNe4k 6zKx6it0HjqwHZm8k+fFj5uH8oB3L254EcfURd6ixTQD2drdMXh/HcZ4xqLN twnvD4zmuV1/0cM8hXVj2lxCjmRySe0L/N2SwrMXfDg/bjizrFbBfmQsHeQ3 oaROhcUf7TntkrnYdCKDZi+kfGshR3PdJmhK92rUmXS+d7JjoN1B5PQ1wYu1 9VDqelYSvD8dKefv45NxMxautKfepOfoM6OQPeTH8MKAcQjNXCCM69zoc0OF NWOLOPhGJRQ66kJ7zjUMOX0Z+h4/kflRML3fN+dd5wz4aG8uW/euQNbMpUh5 NB1NI/wY5FaF5ISZ+PLNieFwkTpQCr+qCK65fRlHRtdBxvOX2DzUhZHSnKzQ l+UzOXee6NlPVPZuxbnmifSYsUry4ZAa3owyof+y9xgTlcZx63y4YmUON1xv xdPd31AfHsaTVUXsqJjDyNcjePbWYxz3PozxTprIHhLB/3YWw3S7CTx7v0ei OCbKzk7DiR3HseN9R8khGUO81I4Qi+pcue34RaQ/0mHJPR+ET77uYj90Ha6k 6cF1VxyMjjZj8GM7btlZLu7VRfGovw8WLunBuA4ZXJI0geMURrHs8g0sLnJi /qOZki0rd0jqq+aKd7P0xVWLaeiWZYL0hxr0y9alfqsP5JYr83nFMOCCAZfm D6WYU4YMdwkyqpNwWqsRHdM/obVtuSjTmw5FPztaC11+T87g5T778ae/Cf90 CcNnaSnd8lDgpqm6dNhSB7eoLBaH9IGVmRllDkbhzw0Nxs/vT+2IAqx3Xyw2 NUfzzKwwPptthmNRm3AILzBmqQfDA8dInxn4VVWet1VapU68SCxe3YXTwxTh 80KVr3Mi2LXFjOdyk3lqkwnjFqeDN9KpfmAmMupdeK8xFq0VCrxmWYcXy6rF vE0qdGlzxbOC5SJ6kjIX+3XghhmBXH+sI9/2eoRPgf8guWjCJ+3ncTG3C1/M uIvJYweyNLgfl99rxuFB2fxYtRQRmY/R6YQ6a5L3iVfTD4jNDsM4MzmVQbPT KZN2EKchw2zj+di1Xp0FTcn4bOjDZ2vfQ2PVL/T6qcmx789idnEGXZ4JNMov xxoTX9TLuiN1tjH9nvWH/e3e/G+0N42WzkSboRG3aYcwT5QgzsCGr91SRU2A PZ+1pLL9lzX6f/GTWPnPR6q2F0XDWrQ8LuSv0J1YUFqGS6crxd3qEMS77Mbs P7KM7/8XygrJkk0ethw7NInDohxpFT5DWPw0FJ3Gu3BQ6jgOX5vO5uf7MXZx GO9sDeS6BzJios92lHX7i5YIX15QlaWXfAfc2B/Ej2lTcCH5i2gLeyZJHqzP Wb+8Oab5C7K/e/NmyWXU5e1HvtJ5JPXS5jEtGU753B0PC9cKSz9bBvxpR4jh U2TXpuPzlFBOiF0Nn3h9/lntxHkvpiF/cACXjLqHaTNuo0uv2Vg6YBKznw7k tnVHoG7zCtoD9Vk5JpG6t6slIRVFzMxUYHnIBvFypyOuWLzG0YcZVLqlw44f M9GraCz1vY9Ac6A7D07X5q2pX8Xb3Dx6dQpGibWnSGov5rjt18SMwI4iUGcl Xlzzx6aCVP43NUBcD1CF9qE9MN0fyZTeGjzg9hCTPlfh6/E0TnX0w8+ESnw3 N6CuryI3vXTB/bf9YX6+P1dm+rFPYQPUDpF+hfI8MSCVd+JT2fu4NuVCl6D3 oAxWXSkTyk8cmbhfi/2mDeIHj8ti5Wxluub0gd+7TbC6vhrZTusQ3DiIhRxG Fd8dwmfGPlwv8OZoX3tGORYjwDeLm6UcmTwxgD4HP+DQlVCeynCjjfEJMboq gZ4x21BZWwDLE9/QXh7FwaNzeS3OiBaBc8Xahn3Y0PoG6ysK+bZJjkdKlGga 6MvMbA2aZ0az3zCpayx9g90l0ex4MouTHq7B+aO57LJoBH9PHY6dLYNpKGWl K/V6lGlI5VfDpTg1ugKe5QvQ8HYEdwsTvlLrwcxbBZi7dSIVzpwSJ71iqLbr vZhS3gtqI4O5f7AyX4eshmbaN1z6Wg7jVdZ0XSaP4JStOFB0GQ9rdFn/3YQq 2R3ZPgb0iDYU8b280LG3Cx5Y5PNPnxYxzLlOnE1JgIy7EWvOyvF6zVhel85h 2b7+bFu/ACZd9Ln5YLtQ6LMFsw7U4frsfJrIr8SInO4886EMG5xiUWlty7aL 7nQ1HoQDe3rzzJvh/Oggwcehe4HH+0StWQpl+z/AQc8a8fmHBV4UdOUhA1ee T7Jijm0paiy8xEefYSiZulSMNR/HX26LYdPDkW53q7FdoxqmFVehcvA+Gqpt sMRoDjQX1eFO7014KLaLM+ZSXqlsFTpzBvLWTD06nFHg8ehSLDhyX/RyPoVT qMPva77sdmgizTKmo+bIL7yorICmzl3Ipkxg0BNn/FaajQuHkjg7fSSRY85j t3TxY8E5DNVKYftuE/ZdVImoNUuFTr4cs/r15KTL8ghNnszf0/vz3/t4Pum8 X1RPXgBJjiZubNOmmu0GKHVL5wJTVx7/pca+rYqsDsllUYsuH8h8xIrfbzHm yVZsr7bhLVtzKVt0ofrXkcgzd2GSVy8+WWnL0abx4sajDmyck88T5R35URSK rvIFnNN1CFcFXkfY4DpRs60D90yZCMZ3pPKXe2LNY3LbZw/sfHYFX0OGsteH V9IM9Odmv584GizBoevD6H1Xn0WX27B6VAOSWnrw0qORHHUkkhFxPRg8SUZE TdYTR7YqsDrPnjP0dOi5JpwBsdYIOb8N23vLM3B/L5GxTI1ZWWO4xiqcnV1T mBTWXWy7158PVUeLvrdO4d0QN+42jGep6200TlCkx40CNuw14ufmJeg1+TTG HnqNU+Gb4NZZi1u3OrLEdTueXevHP91eidNVoO/9BEQeS8CliwU4OdsSE4Zo sHRXb1T17MbKPlPRZX8F3NxPidakw3hdXYuXMUZ8e+cKVJx34Wp1Ly79nSvq D+6EwRdjthur8LRODj4r7hHP+ozHwhxn7n92GVme16H6N51lN6R7YSTLYYVH cDf8C65VB0syVPdjcrYcJ+9OpIfZQxw3CuGfofr80atc2A/+LO7dqkWB2gWE LfbEAxtHUSbjxpPHmsThPWegef8LYtU7slP1HeRq23PhRGdaTFyKaOdGFF+r x5XO8WhKuwnDDzocXtaOExWeqNjaC/WrPPmgJJ++3zrCodCKAzo58nvpMjQq jsRn6b7ICzMOq5iKC1G3cPDsa3H4nR3uB0uvW3ceevLRMC4tgWSfhN2ejOIq l9/o3deCA+YpsHjgX7GgZgKbHrsj94Errzq9xkizdrFd9xtO5mUwVG8i80co sefQZFHidhhGbktgcsmBG33nwCmIdNvUlfu6jOD6658R8asZwy9cwbMSF6nH LMGNI+mM3ZyCixZrxSONMXRak8HBpuvxqj0JW5PewEirTTLt0D2Xbk/joBKy EuPPSn0zogfPPjHkR1llzlRIwLs9V+Hbs4CnpjlTs3wiHdXyGWi5VJjJvham 0izYlvgdsy5Z8c3rGvicyWeNoSL/buvNoK69qHU2TtT+9af/qyjaOFtj9Nx6 OK/twLgu/pw25i22GxdKgpf7cuTZftxzRp0NcUuhMeE1ND2CUJ9lgVHGhcxw vIWHWQM5v3C8OPKiCw3c3ooVSz7BVu6kWN8xgT9nHhN7b3Xiz7oy5Hj151z9 nlQuaEPslwCWX8jgLa0O3KY6gCgplViNHspRts/R+fJPSejujZg4SINi3lg4 18+HfN55ycK+LlLfKaRB2wLEx9bCxemO5GlQO5z2TCB1nXjxTgdEFDajJHsr wvrYYWi2Es8PzOXfpY4MWeNL88bHMLcow4pWK65w6k1fpQhMGF1IPavjMBvS gPbazeL9Mh/Gpv7BmTG1iHY/BPPSdJqs96S3Qz/J/ion2hdminNrS1DqfV7U VD3F2tUd+c36KHrmBjJrUB0uvW3CiXvBbHWU5s6raucf6zZCebsW5y/1w7q8 l6Kb6k/ILlTnSnM3bvrYh0ODksRFVxeu7mrBVU+/iKNbxjBjmw5LfXeLqned GLEymAvPrUBH7Wqk2clz2J4bGP/RhTvqPIXqwO68EDwdLxdvEAcXFjFD4Zs4 cDwKDp+ioF7hzfFKggfyVei9VpuzroWzLM6XyXdrxdfyaFbmLMfmh+PFKIV9 0AsbxK579dlL2pMYKmWJLDt4XiiHl38yA68o8Fd1dxFmE8B8GW9et49g2H9F vDt3PtzTo7k+OpUvZMbw5LsxrBudjIf9u6JjWyIVV25CZOkI2u6qgvLLIHY3 9GPmflV0PtSC633WYnzyZcy/fELE5GyB/IkbmCIXh/UDjiB87joE6Tuyb90a DMpOYPTlHJrIKNLA7IeYukOZw6x0+Wm2Ce2K8xF40Axbj8Rx4Fl71DR0JUak cordOmHZMpz5XuFcvD+d8pKD+BMqmBkzlhc1hzC6XpHH5PQ51FldFOUFc4w0 W0fcjmDt041o6PEfIvY5c3PhRhzbkEeTEiDrlHRu/yNvrNJEcGYEjNZO5MQ+ I5h8sIhy9aOY7lpI91IzLO19FsseH0SZpRYsptrQcedJ5Guq0l1zKqy+69Bi 8QfsnbYPe8/cxr4NGsLQv1ryWS6BusbxdP2UzIjavUL7oDyLvuozZ0O9yEzr gJ1/A0Sn/G/4lmzHPadVaXD6LoLrUhj3OxQXbIL43+ljEAFKeHhxJzTDFfjv wxi6vPGQ7Eh5hOBzxsS4PFZ9SGenbmnMPjWMVWG/oJcwjv7+45nXeEAStKoM Y8+exZtwZdZXD8eDdkUOvBFP+W8HsKBQnx4GRhyw0I86MePhnx7Baw2ZXBtv yFVzHTj4jRq7Rz6Ad98iyXGHBG5PNseXXcloih2FF+cieD/LA9nR4/FQo8q5 o7wvV5V4sOTreXy5tAz3S8phfW0Yb9o24Ga+Hy/DEdq/OnL5khR6GnWnvlki J23S5Imb3TFw4TJx1LiAAd7TcfbPTBx4lcU4i5V42jedc974cHzBNejMDuPs QZ1oeWIorlq9FPcz/+FHbQaLq/bCYYIt4h6ZUjE/kXrXo6HR1ZrLh1i6eKUs w6clfri40ZsBZh9x6rAF95Q3oSo2lff8lTj98XHcv2DLOdfy2MFvG/ZsCuX3 iEdil0wGVZ6eF0Zv3XHVfiam7U7GYmtp1mUMoO/YHD7uIeHPHVmcd8qP78Yp 8OjsFGH35TlSxw+n17qe0vMYQ/8hSlDeul1ErApk6qFUGqb7oHRElviZNR+J Y0rw3ypzfv2dzeytHWlxoxmqFv6s/lyOruWBmPy4CipjQWUnbVw8PAvDlwRz 937QJdqR6WEjGWAxjBWJrnT9fAnTX/+HWO0cqvvMQOmbClhe3ylet8+C2dsI 1llsRJeMB2LKOTVOsp2HVtMNmGunCc1zg5hyP5d6s/7iW6k9v63cie07PkmW dj+AW9bq9F26GWpj7LFu5WtsOO/PJKvurLi7SDLHIRFTfnjxkqo+76j1dGn/ EcLbGc8x+PpAdhuxQqhti+XBHBNWbDuHgI3WkPk3G/+qBnCs2kGE301h8mId uBsm415kH66NjGR122cst7Hj+vs9qfvAFkiJZUBNK7r/teHnWFk87fIBuDZF mEXGsDl9IIx3TsXNJ5l0+HEGldMuYsjmL3A6lYUHXSyoHKuDLiuzuaLlGMpt RnPAtUB2HxnNxKYy0c8ti0vlDPizkyf9eltxxk1BY58w1s+Q5dux3SkpSOF7 q1ZkHvyOVIc9ktsjz2H6vVBOf2PHuX2bJN3z12CnaMd7PQUoOHnyau1OycNV CTQym4T24luSC+fHQcUuDzbV88TqmbHsm6bG1VLf2b9nI+7c03c2C6nHXvvL YkyYoL7TLyxVDsc5xZ5U27Na9JsdR7d2BZrFBtDsTBGvTVIVf48ZYWynt2K+ 0zUsfrUSNvG3xH/a24SFdxLH7w7isq8zoTVsA+R83Ph8mQFf+q9H+ix9Tlik jfGfshi26IMILH8kmb81hpYhG6QZbcUvf/ZBTkWL7rvHcvQSOU4K746D6tcg udOFAQv+QeeKJn4/eQ/nCB+cjfJDt14mNDp1AHoaTejW2Yx5cvZclV6MjjIG zLjuxq0J511ie84SI0Z+F/JeUnbvcwXfHOM5wHkP4u748c1Jc/6YmA8Zs9H8 vtCb7537oOiuFmds9OR/1ztync0FVA0qBdbYMTyqIxJ+j8DocGteGDkapuoF 0qp/joeLbaGjd1m0G+bz68/jwvDfFJRrFbHSfC56zalDSYIaK+MGw2BuI/79 TWDiW6lX3E+io9MYbtomz33bE7hgZwK6bHsg/liOYcva7djxTYZTe6jz8rwJ 1FpnyZpfJ8WnqAYYN/1G/oQvIqLTEmjWTeRCD18e/9KJi8xnwyBMD4NNu3Ls KxcuWvIAAStVGOHizmsb74r8W7kcXKlDmWFtGGEg4doRZZjt50ot4/NwufwB Jl4ybE3QZZxcIU/N8WDryWg+jPqAbf8NYPyVR+gTshxyVR58vqAHDouZiP+j xO8ppvzooc2GGfGs8kuB/+mzCAs9Ki5vyaRnv2VI+fddBM82gEZlFFE5hBeP /oH9uhVo0XdlyupSKIwroqP1QE5WDuOrNgV+yx+O+3eS6COryYqznfBweF+a DHRk0SUZ9P1qzsrLsjy3J5ZGP2Jo09+PNdPtaV1TKwnNHYLefWbB4a0utbN2 4mNSV3Ha1ZBdDvlJcyuLjaqbXKz612Jn+nn83ebPF8WNCB9lT1MdCXdOuoon LYI3pH1ptL4W/3wysWZnOIcfX4D78//iyghbXpU6uU/FcMorGlCvYBambFiL 8o867HTIjud3GNHKzJXTVhoKO7XvuORlywNL+/PXlgi63vHkd8t6+BWdx47I cZgiIRc6DWav2aZMH9eAY2YxdH+UhAbFNlRPncCVaz7hqtdreD2TOpbDVuyq fIUFs2XYTblcdI7+iHXXXmJmxB7MqvLmMrO+THYLxl0na7R4GPD8zlrx82sw zZ0N+f63Gy3SYqTueB6apaNhOSOCP352Yn2FCnVkHwqz+u2oW1uA55eXYO6S LDqaS/dysj4ern6K35bDcKflvZgWZMWT3ZPpINcFiwIDOMgvhtrHFelUoCHx 7F3MAd4PsbnckDnhuSxd/RZ5/U8iMDQI6SnHcGBqGpXX2fBspwYMUOzLRwuS +C56F0ryFNB7y3AWnNIVkuBYHBreHaXLU7h3eC6Pq8vwQHkzOvWw5epBzrw3 cjrKNr8Vn57Zc98gNT6WiWW6/SLMk3bgtx2NMD3sQGFUgDWRQSypNYP/dlcO ePlV8n8UnYdXz+8DxRuUKE1NlJaWltL6PPdWkqSpiHYUaQ+FhuyVvXcIlZ29 i2RlE+GLZGfLyP59fv/Bcz7Pfe59vc75nPM2PupLn3dg7TGpy2/7Lu3CMrTY mVO+7B2Sj9wQ79rV+fZvC2bYN2HCLCWcrQ2mbMRQ+M0fwVPRvdlokMlrz15i yQNnjmj6ipjCNPHluyrteqqzRE2bEy7q8ckwZfY9ocHRlsNx2GUWNOYuFD9i Ndkw/y02jQzDnIlFOPfTmi+vLcAjh+kSBydVlm/UYW2OC6sGWrH5Wzny2neg y4JvqBuixpFVb9G6rycT4+L4alc0f956jJrzzhxdUoGf58vQY/YPWO70pgPe 4u4GFcz1Gsbc3Z049Ek2Rq8ayA2X+tLtR6uHmownU6eaS3e2gB2bVfnBuyOT J8+Dl7TPHYdUwWXOTHFgyVZkqkk49K4LM80klCt3ZoFLNT7nKOARfXFOkoKN pllMj3flus9yrL4zlpmhs9A9QbrNPiqcd7MUCkcvSWYFvUZox2Jcs5wstC+8 Rk3ZdsjnzId8xTc4bVyPS3LhQmNOHHKrXKiaWswBY27jwCcVpjzVwGH5yaLa dCBdS3y52no8A2slXGOdx/H3ToNqMez81Jvn5ygw4GYzkm3N+WmzNp/OCGJi bX9aOX4TLvdD2HX7P8x+pO+2YGcQ3w6eDdMDe/HnyCCUNrnw2t6TsJR2+bwT BXDY486nFbYwm5TKpVOyqZ8RJs1lb1yw1GHbImX+m3ESUxdKePZTNhPlt3is v7geEVvM2Gqbz82Hx1Dp1w3M1p0MlwoZanU2pY5+J45YFcw46ZYo3nOD5V7g zRgVNlaU8IRKK8zf3UCc3GmsquvOUCkHvTtwWjxHNJUainHheCYva2qhdFoC 5w/OZGxIMquNneDkm8vZqeos2v4LT0t0mNvbhpeGmeLLPC+sHFmPkhcr8XXx RrT96U6zh1LurbmDez0Tub//NFjfG8Y3iuqY4DoK1ZevSUJrF+GbIfl4/Cj+ XvAD743M6N9Zg+sMl6C+IIbXr+6A/J63aM/LEpKi4xg+7RXSjijzqlpXHk62 YFFmJD5duYZ/YZ7ML/bh/sWjeMhPj3pzRlKxwyfRt6QLMy7aQbWPCk8euY/i 4++x9NhfGNaMZkObOYvOq1Jf2q2n15kx8esd8S47ERtu7YGVxB8med9F+qGx iNbRoFn/flzi/AM+Rj9FxL7jWJnRm/IJxjw45Si6HHogltdX4u+rCRz2+zhu v+rEjOSnWD/Uiev7qXHqoWFcK6vMh8VliMxTwpAZWRhysAYxt+M52EKdD3aq sGfTUIS6zkD/3zFMbNIXWzS0Ob80XFge6Mr1K7KFhvooKp67CLr/QejMfH7X TBPqcXpUXBfIpSdO4PW0fNpMVWLJDEfube3HO/JNMOg8lLGKtZhgtBOVXRfB fFYw+xpYcueiAowqcUbgvh+i+yVjURFlwOy15dhhGsZVepGcFnABH+u7wC9i Iv2DI7m04KuQjJHj385mwvKGK9eKcdym7MDNvZLgLvMe3jr18M3oKel0Jxva T/ZIOrgUcvqSs8D5bHbP7c3F2an4/magpE90rmjP9mVdzlpoL8hh3N/+jDxh ggQvwQs3fanl/E4YfABfPnNjYWIA3VOG45v3J3Qek8+QPeak1MuvSj1jZW0A 6t3fQ+Kczmkh23DjX28O01uDVrOd4lFqHXKmyYiiM19RkxfLvBQ7ljgeQeXg XO5z1+cc0/Gs/iDDKbozIGMo3boZ6myT+yUZkm6Kt85nsafVjaOP/Eb+9xPY vSSBlYN1mLmtGptku6DOtYgLTU/gQV9XfnlcQKVwW048LMcTUWdwf9NVODU6 8mh1HF6fDGDmqXj2VVSTmCqsE0tmxNL94Q1RtGgUrpyfiTf+s5E2dALXv1Gh bYEaV668in5hxmzo0w+Kzg2Yt9eeAxcO50OPq+j61oRh7oW0CYqBb6wsW0I2 Sp6P+omBD/rBYcFrIfvyE4zq+3FFfTKdpM6cWWbOCvUziJ1twLVmP0T7lHgO ab6E1DvpfPpvH6xKN2OrjxvFBAO0ZBWx9IcBN3h24N0Jelx4P4a/U7uyPfkO furGsuccJUaMOSIav7lyzSFn5sCHK6a9xKx3a3DOO5Wur0phN/6iMFwuw+/r 68VUo4l8v20m7B3aYdGrv2Rq16XiyfcNeBNoy88OHzC9rRaO9f3RIWkUdph5 YbKiA57o2OBPVpUI6h3CM1OkTDs3mPP0O2JUj0cofbQaHwqG88waVWHWwRd3 +32XbmMg9/acROdYb5bENEJ/5WY0lpE5IXcR/J+6RPKfMYvj1nlkvhhAL4WJ 4tdhGYZfM2dltjlGB7lSc3mDJHhBJP/qh7HlRx5yK8z4RboFm5XX4ddDRX5p k6fMKzc0hu/A15Z7UBhgjZ9/D2J4p+1wggPWrNCT9D8rQyuHZThQ+hXec6Po WnoKrrGBHDk+Bh1DralWvxe9X1+CfHM9LlaMZLJrFJf3s2PTLjWGRMlxhbw1 b7U+xeCkID5Y68YZRvm0PPUX2v3rpW5izoKIgVzkNZwNnoF0UreB/JZYTqlc i56RXVl+/Au8f9oiqU8d7NqG8ausDf3CA1i8xYcb6+y4/20LKmdYc5XCcJal ZHBmgzGHntPFUPRBleMsKSdZi70xPYSmYg2uJYZRd4CEaQlBSL49htmGt8Sx rSp8ecqX0cuawbZ9GCEXwXLrdJ7vGQXZnDB+/juI+kmqeHiphN3VOlBdyuyj nVqgN7QZD8sHQa+TOjuo34en1IsOrJiOgYl/4fKsECFB+dS9dUyEHO5HjUU+ LDLdgfB19RKzEQaMnRXAWtd7GPjekS+DRnEn47moe1f2nH9LlE3oRvsEGZ6W 7cTfbk3ife0NbA62YM213lx9fDT/VPnTapkvA0JkeLcukhK/CTw7LYgNWxeL OVPuoSmsBGfOGbJIL59eAV9w4PwU1CdH0dMuGOu3xfHH6Uk891jqiu5xzGtR 5tQBfWl5IU5UXU1mgJ8LpaWB4sISceRvJX6k6fJpH+n29WrC0dHbxTrn56L3 xY0oVPIF64dwWVYEZ/qP4MHkaMpMuI1rq9ZDdYc3vBsOiZLkr2iqcOPwgZb8 Oq0XVOUy2Mf/pnj3IYpfd37BUZfebEvyYke1L5hsfRYjxtjwQvQT2Jr04nop s83pdl9S4bgYKdlOnDwikNntnfn7xCCOx3Gx0Kcj30qZ3vaIoviavFNceWTN k1/8eSXpGdarXUNPOTU6u1nSe5g9DBYdgcu3VmzUHsBJ56Mh59oiceppxA1/ NOn27SIWz5S6Rfg7bJqrSfOrNnzZ5xkiD2twnloGB5yKwpGdXigqbYDKqH78 9/YOXPqkUkGrEEkHB+BwtRf+q92D4yExbDMVYu2Brnijm8YDQauw+VIB3V/r c3EPC5aMS2CPocY8GhjNNaekb/1HCctcaqB0xpH/DZSDfscqKCpPZPkBBSgs GSFl+pXITe3BPqer8W9fEn/n+os9vUqFfo0x46TZXvQ3guEr5yJiQSl2Xg7m nsS3EouEFGp2voTK3L3oVf0Q22r/wTvOhJ0u7xOnm+UYutqSinfvocRajaXJ 2tS58RKXfw5m5r50Vry3EJY3P6BnWQq0f5BR3qq8NCMX240bEDcmg3vUw8SF 5+1C7aUp/+x+hPt+0nvV8eKS2mk4HPgXvaeaU/WKF8c5TcDtF45ctbo/E8I7 syy0C0MGmtDIWZYTP+ug+No8WOpFIft7HzqFjOTL0iD0MlkuYkyvixeLunBc yBP8mpzA3j5T8bsginYvJmN3uwGPvepOw1olTlH6ANctflw2P4AtGYfw9Uk0 pmVdwpRbvbm+aRqa7o5E1PI1wireihmH0jhm0FaE2DQg4+JxSea1JnTZrswY r3bs3JjOM2d1WHVMjuUr7Fi+0gaLt/khaITUCatH8EZgDpdaxNDfvJhXFeOw INWYs/emcU3ycbyo+YHa24NpssuRb/7EwmKhEWdWJ0NY30TyKEU6myvx1IFh dFX7KWm4F8t1ZfegkS6Lpyt9ENpyUJLxNIxdFxexqH0LKu2kHDikM0MTF+HM z7H8PFkOCvUTuP1HJOdO7iVxCs7jQudMhp6LwoaX1lwwczR/nXWB0PRnWu1p caRyDyof5mH3Zn34da9FzQNFLjk+kGYuP5BvXAG9NY7MHWQgfB+XUBQES521 UPJycxNuHsnhMs0sTlqYxP1GfvDu3C4p0tyK2SN24VuDFzOyNXh/loTD9viJ SoeBfPvIiI6jG6G8+h9S5q7Hi1gNPpr0UQy70Y2aqkG8It+AG2sKISO5iEsd PMVk22Hce0zqosNrxTLPLLoELxJr9DT508SC3imf8LrpiDj32ZTP5R1RZxfF 1nH27gZ3e1AjUI1j3vemdXkt6o5qMKV/rfh5woZt/zow50A3Vl9JYXGFJ5JV 56HIw5rr13ixqGUeou94cEGGK3Y/bRWzbAbSQNUBV30P40GuBjsc96b/Q00u dJSV3nObuNRtLx66/cD4A/243+YHvHsNgmbfaphNM2JVaCnU9/fjDrt/MPgT I34+WYS7160l3+u1ODlhE5KcXFibGk+dIC021a2HXNAfBF/V4363BI4eWo/d 5+zQPVGXig0XkNnNh+7Pw/G++aAkbpcMEfEWlP+CZ3N6c37n3py24g7GHprA I342MLWN44lX8iy/eBLXG8O5ed0vlEq57PyfJO7+O47d5/Tiy0lDuPVKP44N VKHS2yic2ufD/o86creLPmZv70TT3UW8ELkd1j9C+cZlkaRApi829i3FWdNy zB6/SFIYQb4YmCFWDNyMnqUljH6wATrxdzBXvxaG8Y60cD0uDnvtFS6vtOhh QDjJdadmJiEXYcm8vgNYxVHsVqfCAZ7+XB0VzvH7O7NOU4F3OsVT+PoJ7fXt 2FazBVk26VRf4cDCE2r0Pa1AF9f/kPt3GH9ds2afrERhnjeRRmejGemsx9dP 5Fna4yXG/tTn0SO9WaQQzxib1xj6JIKl5ofgrzEaPbo4cO/qHtyy044zArz4 rP4RYjptxEjDQ5IIFzOa1Y7ly7aV6GR7QKj8nkC37nMlnfefwhjHbQiR5snA +QIWPZDy24UenK13FJ3n5rmbHxmBuoVFbPy2DolL/8JOtZiSk2m4PPYKYGvN rPsDeTC4N7MC0hh+x4u9FhiyefsLPDnyCSdUcvhZRpEhHfvywaQnom/zUO67 dRWZozK4adMR/J1vwnlfnojy0k2i6xkzPnxfzCl7FsBFaRK/T4mE43NFHlKZ yNTIiThvuR8pf9ehzbg7Fw+ZyEAjXf7dthmlo7vT1b0K30e14fCvjlRYfw2h 4f253NjAo3rcOmwuU+Xu7Fk4rGfDb7/KMXCsCg879OSP397sfJ0cWWYrqZ0d zJcvinnnfbM4Kn8XAQu8OH1FMTcN96Ot80qh4ZXF0fs14XDpGxQC+3NG1gCa eq3F++NSL7lzEn3L4zhb+p71O+fR6WM8s/eHS8ofOAuLvxmUOdKNkTWfMeln KzSu6PL4jWaM71vC5UPGsPWNL7G7mCeOTRXtfz1oZzicCbYuvOEB8d+UfKY3 taBct5BPjpbw5QbyS50ec++th3GRLEO0nor8czbQ6R7Om7OuIdenFzfr+PHo cTn+vJRIrcw2bF/Yg44dLqGvkRb212fzcIo60gtK6DphNzLMxnGFuzN/jlmC x4pn0exzFmE3M3iwzwVo6X/AH0NT3ijxpZ9MFzpOvo2KvAI23Qpj28YCaJ3z Qe07WwaHJvCfuj4z3g9n3s4chu4dxdkh4xge/hzb4+MZ/OEeip45cm1lEFcW OnHbAwtaKeyXqNnIsf1eAJKRwVs3bmBRuQwDvJs9Hh5JQJ18PBT62nNf9FNM idyD0os5PBtdRMXh3Rgh3WYn9S/4czeeQwe9xWMVJ/6b0kfMXP0QVvPe4ekJ OdpJuaHYsbMYk/sD8d8z8N0vC0d6eotx3grC0Pcgep4ZTouvS7DDfCxCfhsw xlkb/SzMWKibzaqMiVCqf4vRNf3ZvioT/XoGIzonBGtX+vDChtMYiaVYsLmA 5o11OOtijJY2I9HZczd6r4qnaZuE/qqD+Cb6PHz9hnNRsy4XvPLijjYK3VR1 Fm4O5J/573HVNZ8/ethwTY/J4tbI3lSSU+DoWfOg0NYVr8+P4+W4nmw6a8mX HbtiSEoy46++RfbEhchY4sbNSy7Afd5rnFBOxfFFZvhwKJxq9ybifpsSM98M 5a9KY+7drM/dPaKE25oreH/ZAA2rRmNds6B3SR/0vhnMj6laQrlhunR/e7Hl rhmNnqQzKa0jOwXtxDzZJFadHwulakd63erKXys6i4Qza0Vp3nQsPBLFF9NT uFXzuiR2xi+ULVopKg5exP3au8j748qW5jseYXNPiCp2htx7fYnxBH/ahY5A UI+BWJmgzDtLAtn1fBp3BGjyXL4C+dOH53ZJuPfnaJ59/xAGdrXQ+anGJR7f JG4Zs+F3O47pvy056mIE5V9O4Ie0IUza1BMr/Eron79TciTHgGM6GrChIZle 1w9jUt0fXL3fKgI2aPP5tYs4ERHEs1bJTCks4VELVbpOz6JMxHE4HCzmMUVP dtl4HhV9vkA+PFGsbX4P73vbYGEbw/EzOhAG0aw8WQ3Ty+G8pb9f8qwtlFsP nMWzn/2YFZzC1hwvXlULYdTpPrCw6Ah7ocJb8x7D920Bxm7fJvQuaTPJcwXS 7vTntRXBXLWrH+5f7M7A8UGw/xnJX2Hq8HPPx6p/gTg6I4Wznjfj+sxwdnay pc5bU3YqmC4sM+S5qD4KLVcGoXmNBrvMJN3NB6FsWzZlGt4gtSVNzK8m29aH YOIkS954qcTsO2EsuDyUm6/I45yqAZ4NSuXQk6cxc1M0R81bhJVfOzPdQ5Z5 9wp5a+wSZO3ywdRR8zFh70Ypj/yViDMR+NyqTCVxCL+alNi3MZZ5336jZ+eR KE2LZ2uiI9fcdadWSzvWH+nKjgn92bnXXZS31SFFNw9XddrEn3/eeDL5hdh+ pVT8+avCrgrmzIrJ4FMvwQgTU65KkIXc3/F0jE/FTT9j/jIqRURMNKctlHB4 pnSbng+n5ZB0bpBqk+OIHH6LUoa0hnj7k5d44ujE332taNHdl5Xq8Yi7W0wZ lx5MfOTKy0W1cLbcIrxSE9A+uSM3VDaKmNileNPbhT4uFdCNcmWCijc/NjiL 3nlnkPQ4EKqytlRc3BXFyrtRvDiXhcbutPloykMbluBGw1CY3lHmu/LLuD2q iCltWsh4kceU8kk8/ncx3oZ4cXjkeSSU7cY39VaoVEaKVyNuihUzjkLOOp5H B/vy8ty1kNwfz5V7TuNEaAT7jsth9CkpH7jV45ZYBqfqjuy26Rs23Rkrsjt8 R59dZ9F/eCWqDvjT/6oiVwalsaXJFU1LIpmx31k8/vUDtj4XMc7JnUGWRrSS 8kv952j+dR7G9a6KEhjlSnINfNloHsPAqX2oVObCK9K9s9mfREW5ySJ0zlBa PZDlR7swHmtsEtu31yPc1B+Sr0EskN6RTVYkdV5MQd3FDmyQOqvFwjHoVmaC m9Jsrj/2QtqZbnT/eggHZ05kVktHuA1eh51fpd4yxFuiJj1Dp+8ekj7zI3nK cy1ePB/I1vkbcd7IjZ+O29HcRIm/B7RgUmoxE1btQbVPsdTN12BPrKOIDVDE zKhvuLmiN95ejKOZbjWc/j7FjgAX+Gwzx9Zb//+mSxMWr7sFJ6tO/Ks4G2Gq o5lvn830D10k1pkylNT3oI3qEHRe0YbyYG0OVLgDHVk13l7gzkOb02m0Kgc/ Z2TQ/N1PtA9JRkyTI8W6znQpOIXiz+Ooagie35onRvxZChtPTR4vO4bPRz9K VDquRM/0x+KTkRHTJmYIOYdBNC6X57oEBX6d8BB7Ti6T2N4N45FWCy5f24uB MjcwKapY3L8/HK+NTwoNfVn2HXwZm452F7f2rBe3O00XG+dN5FGnqwi/EIeP U5wZr7sC8X3G8v7ca5jxsTsuW3qw5kkfjmybxGHBEWyf24qDHh0pl+7Ejy2a zP7QghJtZYTcqBZD6yrhpODITx1+Qc65H/5UyNKvjynXSllA/YAx61OieWXh F4m+p7E4O6M7l3pU4njaWGxanYfk9mSm5yuxvrCYv3ubYXD9Phz61yiRafXn yXVRvPRhvgidr8uFYY0IDH+JR98DqaxfjohLISycOV0UT5dyjBjLHWZh6Fgz icuPBXC9zS3Y9h2Lxep20EyL5fWgbgwQrpz2fo2wjVqOrb92Y0ugMdO3juFI pUC+9ijAbuWjYgF/4lnsRuFy2JWG/sHUknkrPn9YgjcXwtGkYcjdaqfF9Qf2 jAmy4ZC92pQ9qsyZSVFcfnkSKqf3Z5FlB1R+tkLXAf7s2T0WaWUZjHoQxssn d0gUb/XinzkRSIz8LXa5VIiK8uNY/iwDVp8DeCfgHQoy58Px1Hqx5up2XC2N pMqrp/AN1ZM4Hh1G7fYgsWxiADW7ybDxdhJ9rIJ42WQK1p6ajZHq+kjVCqbL AGeu7ynlx0UrcNTzMFTuy4ibuWNZ2sGKD6c0YWmcE2vVh8Kx1oDV8b9FJ/ee 2G5gw7XjkjlFUonDnz6jd6cZ4rqLNjHiLQrP61MMUufoin0Y1hqGCSXb8eW7 PXbut2DICRsR9qQrxQg7bnU046HlOZz28RMcHy8VM08Yc8BgNx42+SveyD1G Q4sOrO7vwkOpD5gre3LZhgr4NV1CtIkx1yrFiFnr5iOy4DCCLLxEjnUIJc3u OOWlwm4hsxCR+FO8s5PBpHWvcHCwJsfWufHMFTOqPfah8fOJYrrU/SIN1qCx 4jRU1VNE864c3tQmbzQm8cr13lwk8mlbNw5zaMCf1YKjYkP4LCiF43dOZNW7 a+Kf7AYheaTBA4078e6PPZd06sUq+XIsdkjnO9keqHANof9Wck2H0Zw22pAX 9B+JWKsVQvFFIPTCNKBe5S1lubOoM0mgkUwgD8Gcd4P8semCBE8XK3P0BHfx O7sdzhHncOejIv+z0mCIyizI7lZgyeETwvP1S9RkanLlgvH89bifSFwby6C5 Uv7W8YdKlT0n1W7HkDkq/HcmkPcl8mw+Ecn5zSN48YomX6jXo+vKQ6io6Cm6 3b8Eyw9+8Dr5DW9n/8PrxGDOinuIPqOPSW7tWCJqkzX4Lb8GqQ+W4dXGyeDS Bhwveoqy0M2QzI9jQGUSF0fugH/VOdif7sNn1/4i/02iUPv8TtKwzZrTsg1F aWkg0wvfopfeffjJSfh7cTLSzJ3E25vLcXlGCM9nfxedltjzz6ce/H7zJHZF HUADmpDyTxOXzu5E8h4Z3N+rK4Ys3yL2xjTiVeZgLv70SzzY05EVuotEk81E dor4CtPoN7A58hKR+6TvMtSIYe/zEJcyCu3Lt+Gy1zr0P53BaNWxbHyeyFk9 DPkyO5C9TWO4qk4Z159sFoGy4dQ6qsKIRit0LPKl/wI1duntSZW2dK6ZEw1J 1xik6enjaWOoePMuEpvO3BNbyzszaOoyWCo5Mu5xCvb0+iAqtcYwWesI9pV+ xtD95PFBChw2eJrw2+rLonWj6TI3Wvw52Ie7/mrD+tMMmGm+w3D1JtgUKFPd t5BLI+rQu0KfieeCeaqmH6fdHEox2ZxjP8hw+zRzPjHW5MFiO67U1uIyfVWW bU/BwMQSzrqTQN9L9fDeZCBGD0pgl07vMTTKSHzb0SxGO41k8B1HFlQWiZb2 +9CdZku3qXl82b8Hr+6348RMM07s5ML1kcaMmzEZX+cvxdy8MvTdN449fpvA 0kLK0xmFfP3PlV21kunUxZdRroM4cIAys2V6MdEtj2uGJnCL/25syh7LJSMc +W+1IxduTYVG/U7sy1Pj84sqfLtlDDXEbBwdch2WL1O5s+wmvHYP4cFnqXx6 ZqoolvqiduMWrEjtzPbn9qheuR0HrOeK/+48QHW8itTDFFhQvAYndhcwadFv HHT/jMzDw1gz0I+W7VKmKzdk68Ak9hyRznVTLHlobQxf5Y+FzXYN9pJMEus+ pHJh4F2RDFs4rnPm11P67LujG5WuRdGzKh+Xb5Xivo8SU2dNYFloTzHg6Ehp Bw5gSkYbvOlAxXcG4pmaPePGlDBmQhec26TCht0d+XrDdjjK+NHA5gtu77qG DV3VsKEkgdqudsx/OEVyOXKRa4qcCc3OKrLlXpsY29aLmls3iIptmzDn+0px X2YFarqO4djZGzGw9idKxtjw6+8AJt1twdHh8mx5OoaXryuLU6v8aPdegRY9 Upgz14Ffu7+E5b2/SG16ig/H/HFDyki32lvE6RXn4B5pw2PbtLneK4GzdR/i kFYVCtL1xeUtN9ExLYdblofTfIsWv1UKLn0ky6WSHL5M2IFXczz4/uI7hMoX c3xpKiO7GsFWRp33hhnyovxW4Mt6JMV+xkz57xjRK1m87wDslfuBAm0Zrpzc n7ujQngs963k1MtWER+dRfP4oazaqczgrAnsFxbNwQVPIXcX0HvmzMG6mXRq tOG9xV25+VUMaz82YGNwAZV/+DDN5DKaCtM8BjT6sDUujtNmlsPmaX9GT94I e2UjLt1mzw03H+D2owKmbvfkOh9XGBd8Fi/mKdGpeTTC3N7h0cwALM9Xo39o s8i5dlYUDP+NmXNa4eazAD3njSeVwP+0BnLaNF/s3xPElH3rJL7fn+PuzWni 9L1lMP3nzHmXTLhn1WoslsliReIQWhXYc5i6Oh8GGPLoazmKrlIf8G/Hmicj eGTJHPyTXSNKTdwR4prJjwHyNF/0WfTf4kZJn1Vivaoj5oV34hUNC257Wsz1 ZXbwFWexsS6H11eT9aPHUW/cOEZW3BB1DeM4cbK6h8vZMcJOL5w5z9agQ+It 8Sfzjzh0Nw8Gp25h0AcT7r0UQF8jI0kHc8G9iv14w7GruFW7AHUftkB3Tz7T IhRRvfMgTBasR89lCawoVWfT8UdoXlhEl9lHxdMREtZe8eb56/4SrRBbhk2X cM21ZPyepMGwDUb86u7A18Nc4BZmypmHerDv/h7oFfcX5S/caBL6A6VLzRig 8AVOSxYjv/su9J0wgAfH70bUqr1YG2POnAEOfHzaiOlLXom0Da9h6WPNf1PT mdHeBHPtw5DsGsxHcX4s6vANGl2/InTibrg7KEt0thdS7NLlz/9/H0W7P75V fEJBx6e4PHmG5KSqP2WbHiMAj6EZuAjP3Dvwy4xjEEPasPyqPa+2PkC8/STa dzViQZAHXqTHIPBmFA0+b8TsiLfYe/8q/huxU9ydZUWTm7/w9cFhqTYXcs+W rzj84DROl3nBrxKsEzGouR3OF8NkJTsjJ/FOkRtWv12EDZGV4nTNLGGUl8Lc mBJOTPoKtREaDBqzG/ebB3HhhjguH0V+kXTgnc9LhVL4T4lzWVeejE3DnTXZ PD3rjkgf2ZXzs3fBpjWRZ6su4uF0WQa2WtMrK4EfxiXSc6IdSga1QCs2EjOa x4jXyqfQPcaf6+IGsWzubJzVd6auTD+uu9KHySP1xOUKF6YG5vFymoQxKaP4 X7SgbnWOJLPahdmZE9hybjg0m0O4EbHUcy7A2hmHReNCF37blY+M80asP6XA 63JN4orpLuzw/osw+eE8pxxOzbQo3ll8CpF7+vHoz1tYWCVlyTFn4XJbgdu/ 23JMyAh+2LsQN6+ViTa775g6s1KcyT8Pi5V6PHgvgEczU5jhK8PErIXi3NMm xMmdQ7D2Buh8DOQujXHscNCSLXELEedixrJ7i4RPwXt4uV0S346P5bh3bVDu eguvnTujxe4bBh+4CJ0vaTS8qsRDucroNqo3h3nq8pDMKVg37oXd2+UIaD7o kX0wldZX0vC9OYEWvkfxvWkhnnaUZYfWp9inr8/fOSZYqXwUyQ8/4nGxKc9c +o2rpmmsylUQa0bYS9JarWgo9YzBE9P4WKmQm0OniCqdr+KGrzVlF/7BmWJd tvz05Yvi8UjarEyRW0i97bn8kefDi8afsPykMtvCruBO2wHRSXs9dG8GsdtB VTqH9IL3DA+WlzbCf24eVnxMo1H3JJHGCMbs9uDygUb8eE6PuRaODHrQACy7 hXkvi/FpxDksjpWF8dR32NFrDJtnrsbxk44cWLtWnJ4gx2M7ngi34gzaXY2m 73MJZX7lIvqzNstrX4HXWmG+uojX1vzCLLlingsM5+whZrBvCeHN6kl8tXYc nUeVisHFZph8PJGu9mcxS8rLNlZOTNLrxmfRSfDOVeacbd7S7WjEVLuZuLLY g0obbbhk3mi2O3uzcvh2xK2diIQHRdy5WBWOOTdg0D2dfaJaIJKiJTfOa/O/ V0sRu7kKveoCOPW1GUcu6cHmlWYef/qbcqnSEShiKwLjSqhaqM2yu0l0SGqB rv5b4esVziUtlyQ+F+olq+768823bojfNIB9nw5i0Aw9Nm734NSSBty77IFO 50t4Sdeey5ek87yWHBcqH8D9+zbuQePeIuHjMLqFVqDtfIs4cMqd15TTmTJD TnqWTdjQq0Como3Bus2GGKzjyj2H8vlh1UwMHpIgft4dxlWLXUVj2TQ4Revz 2enfqHEt4pCa7nzkPJzlV13c5+z14daDI+ncpws3V2ujpkOrmPg+iQbl1rCY ugQWa4owYPMFmO239tD3TOK4wQni2YmDIrekmCY/x9BD1oxvKtPYUe02tPcN 4e9+NdgRncqvHmXYG1slRkV/xeLF7fiwsRxxhXUoawzGLrNAVtpeQcPqrxif PBe68zWQ1d6GC7LpqFt3HhHLelN5rxyVRg7z+Dxlm0T0OQsl+Rpx9aoJx8/O YeXtLFiHbRVhqT5caJ8tRs515F07D775/g7TcvaJyt+pzDpSQufxS4TmrT9Y 8J8ytS0yedc5mFEDfNn+4AYMr/TlxYokKL/U5gSfVlxz/iJsFj6EV6qJqJKx oXz3FvFhZCturFdhoKE5p622o4HKeay+Fk6zHelS/kriRSUbdh7vwt0j+rDw yW3ovshj49oZuPAzmu1//yLqcSJGbhzA+X/SxZhZNRhv2SrKXMZy97QSZgd3 4/eO3RhUTWbc05Iofz0lZq4D96yz5s8Ht7FyqA/1FpYj3tsWwdU1ePKqgB6H O2PDH1N2mm4hCT8uzynXBjP12GYRXvdRnFlzH/8NakNbZCpTJJvErXI/yZVO Un+asBep5ZacnB3LqvirwsD1ALzH3IXi6lDo667E1/U1GHj6CoJPxdM9toj1 tReE4bbLmLO3Frc/6jP3zASm58iz3tlFotxjEsbHb8ScaBWx9PFnnJX/AO3e 1og+uA9Ory25ako8f8m/xNxDUTwc7M+lPyzAf5145+BmHD/txop/E3C2tAG1 +UlUWVMnmeBbLgbfCueqW3K4O7yvRLYxHyOfmqOrYj94DakUu35F4cQje1zI yeJEhU5Sx1qGZyv92KFiEo18LekxbCUeOJ3FjYqZCBjfk3sHF/P70CRqO9jQ 5dNatL/owpcZAVQua8O8xw2wL2sSC3Q8sfDGTtE87hbaP7l6fBw0FYm9vag4 QY+Dm4OgEZjKGUs/C1dlHf7+8har+7oyw1aN/9ZbUHO3CfU8E/h+qCmNXsdC 9uky+J89iwz5HqJqeCJf1ydgg08Mx/28iYzv4/gg25ivJoDxDoY8eXw0ry5f KznvkyG6ZDtItCXBWLkvk59b57j3Hjqcyaf7M8bmAqoyv+FMfy3OXrdeKHp+ wqyU57CU/POoeHsaY3/oMSIylIs1HnrU/PcYcgluPPdVyqG7jTHoViTXxVZL plspc0roHAw4XIN5OoPZu5sic2XH0XJKIVfjBfZq9aCinjr19srjfHsltiy+ LfIGR/P63HRurE6kodcVyYfXGtQoGMqy87J8FezDoHlJ4tEOZW4YThz06USf 3mHMremFf+HZiApaKRZs3SROPTEkZNO5ZOUsIHILTpwp5tUVNrw125CaOy9J Sr/OwJMycNzODvw8IoY+SXk0SLbEjuEanJStiM82FmxeqiDljgRGTBVsLhvJ 3Xr9qb49GMMOz8WTXy8xW3Yeaie/gcPicgxXOSOmBJ0QkjgV2hQGoDgikQoW J8VuvXNI9C+mnvccSPxdJBJjV+Y+NaJa5WB+PBDE0BE1kPdSwLhBZGTke3hk 3xb/Hucya5wjI2VcKLM8minVVsw6bY+hih2ZVFdIDRkvrv+WzDUpPdgedgOv ijvjqEYeTZfm0vynN1ff0RT7/31Ge/1RlG25gdIh05A5fTDvWF7Hw5vx2P4r BSUpiXQoLmDKyKFcF96ElXL98OH2e3yfPQcLVo/lzG99ueyfLz/MTcVnY1Xu nqtC5YsPsWLrXHRZ5o5vqiNYjMESp1dBXPpUAoVPn9EwPYKHc3zdd/WKwudP d/HpvDzl9RIZsawb3Qa+QkU/fz58aC25qHodMr+M6bwkBfmf/sHqfW+aGWcx 8Eogv+hcgIdZHA98UBUKRk3C/PcbjLT35q3M0Rwt7EWgtTG7rAZd5VS43/wn vm9Np1uaEf2K5Pn8Vhvy9VTood+fXl8dOGRbR57DX5zvu0MM9PkhvMIMmftw MVbOMuKa7CJ6H/kBmdYRPBqQyb+LKqC3P4BvArL4d1sIS079Q5afHMN33vHY rdoJxdt78J5HP664qyIwzwHOuUmcamPHPeVmyJpyBdNl7XD0bSRj3RRwXw9s MP8oDA4qQK/Vhl8Uj0gKVjWIgw+GcbTdNLHEMkD0bajGUqND+OQKrnVLpvfx lVhx8AJm/Y3AZh9FXiwbgGO3SxFm9ROHF00XA+ulZ+1lzJRvJySVW0w4ZIcP 3nz2p1NXDwyfY0bD6Xa0Ckrlsk+tiNHXFfGy3jwWbyveTlWgT9pVvNxp7hEW oCoJWHsCMkX7UXvuBWpUz+Fdvg4CtORpMPwK7HVaETetM4uDdVimsgCbN1vi y+cbwvjffZj8GsflXyyRUKTI38u8KCOvz+PusRxR7kXbAfa8VqSCd6HdMOOj hKfUv6GjvbnIfngSjqVDaLu0Bz/UfsWwC9vx349kKi5JBawmSrSjfDhr0Gyk xTzF4A8ynP/xCkykeR+4ZgYCZPJ5/a4zL82Npba5P1RfGdM6dS+SCwvh6KTM znJHJJ/kdyPtpDsv7itic4IhK3dZUSLtZM/BLjzgk8dpeyS4VGrL3Ik5XLw+ lxXdJTSR3EJwJ2OUjhvCiZ9lWXVnI1aO8IWqvwZPLs+iKFPiV6VQRqofw/39 WnS6VMD+1QMY0TCGo+qCRadhujzt7ckxvcYzzGsvjDxuQ7W8A5M3b0S7uy+0 b8XyhsoRSHR/wVlNi4fX9eGT7Woo8fKHU2sV3gclSPO7E9n3o3huZjh0/v8/ UwcdcfVAIlY7ePJD/SPk9OqGNMkgFPoP5iS2orqDLtN8LsJgTiRVxvug5UMs V3QtYdupEyhfr8Fcp43iUZ8Q+idpiIk3ZdjTPYNuqYNYgiie/D6K1j8yOeWJ EbOjR3NkfBINi5KoZtCH8jWn0efwBo812h1ohRSOCZLjjg0+SJrqLlqWURwr Po3/ony5ySIdDX4ubNceTtmveeyXrIV+JXrsFfBYjOwZDqXpxjA/psO0Ri/+ aIygZMIEdjUOZqaQReh/d6BUoMa3ptlcHW5PlS5juFXJiXHS7LS4GNLj3T7o K6cxYW4dknKL2POnPd6dt4e+/SjpJnfD4Ml3cK3TMtG4+iMuTf6CAXIdpD6Z ww6XvsDF2hgvRntzuLMfX2poE4t2iSU3tXDE1RaFKQqs+pvD8xUBLNhpx7UV HfhMpSd7SBRpsmczymz68+f9hTDO7i/5s9McvZ7VQCLpA5nkYTy2y4VaXfLw /Wk+dz5vxrSSLfjQ8bH4slWOXWqyGXShB1sr3Xiv31BGaC1A2V85ni4exQGr Zolh/3ph8vzxvKG+HJNKBlFmQA3K/yXyWNw4ao3NR+ux3jTvPArpsAfGZkmd 75Oke5E68/06sdMBQZMRxmJm7mCu0VmGXOdlmLbzBCZ8bcE4I1sWztkPi7yx fDJsEDQ02kX0kBZYrx/E84dOisIHI1mc0YUjJyhxyEFFKFR0QecWN7hf7UkF +eHC37QVv3+8hGd/e3pMvQe72cb8aqzGp/tOILV3OPrmWvJZqzW0NTOpkSUL k9O9JFYRm8Wz/o/RGCuPuyfuwPZrFYxCxkNxxAY0f9Rg8As/PpDvyIkHAzlj Zy67Zj5HzKsinFbXZWZYOoWzOssJPpsVTZ3GSL6/0BGK+ybQ8wL5N0ELPTU1 EJPky45vQ7kwv4Smj+yEjLolWq/35+f9+WyIv4vlsxdjVvNEPkoo5CPjs+jf /EQSdyGLk1vjsS8pjbJ6H6Ffp83DDwdyr88POCzsxLF6naFZuhamjw7B6vQ6 bO4RTp1+MUzU+oD757ZgnHRAPD80wuDxaObez6Xl3tnC4rkKJyIHXqpD0PDd GS37nThhcj6/mjwTiVOS2LttAKseFjK+ly5P5Fhh5MB9YqDlfdhf3QcziQun ORbzQMJadNSqxdsNWux9YChfb1Hm3Kzd8JVk0qX3IK58thvdPC05yEWdo2Tm iqalofxpsgNNhz35LqUZr4d1pl7SfLHumx779FXmgBM+xH+7UXylAfs8vVnV V47dTy7FxTPdcPVWLps6+PHilOE85pTBjDmDmb8zmnUaz6D4rxquo9TpvugH Pqz9gusZi2GtdBp3oxQkFu7pzN68HG6pKlx1XZUxZy5ia3485Y36cFdxG0yt 5uHebCdqnj6C7a0yjGqRbru2HO/80uOn56vEhPLdMNpjKWSLunPwyAhs36LI glWLhGabKey3q9Buijd+fEqk7h5DEZa5BP2nVwvnS+GcqXQLM953xwCPNpRp ubDk9SSamr+XtFTtFU4Dx4s1yuqcrT+RPwPtWbe5mCsTchhVWsDWBYrspOgK zf7bkCKvzMn1YTwhl8SRSoUUE+s9Xp8OoZ1vHC5OHIW7A/VZesofsXU9eerd MSR4D2TM80Zounjy1rIa1Ef+FJcD/+JzynB8yegksRrdjW/qNiA6ZxJCl0fQ rX07LPy6iZxMY36vmQOFnfq83UVDzFj6DS3Jt5F11o81m6Zi9wNHseV3Msvf 9eaYlxbc5p7IdGsV1ncbjCNWKvihFU6HXEMGnQvCsbAqyeOLndn9YS/O79+T j+YHUtyfJVQXvxdGh9PYJ82WBwaswIzqHnyh4I6R6Z70tbfBdrte7GzSldcT DRlSl4O1r28gMMyE6ddsWbdd6tStLrQo64Lput1wpmoMEw1UuHl9Dmdo7hZP um0SS9qH8OJpXZ5b/xljTdw4fqYKx+lZ8MWWc5gyNF7s/qfGJ/8pwlW6me8z uoiU3mP4UOqXA1/6AIZ68NUIoO+Jk+KeZa3I9C1i9uV9GBKtTt89dvykZUrV 1C+Shw1foCiOY9CLUWK5xw8cHtOM/aNGsnblDHH/2TBaj8+SDM+qQURQIKKP BBCndsGlqhEa17oweYIqGzvq89nxLGpv70QP3VOokLkA/9L+jPtTKzpfGEub m93YV+MYmvOtpBzmzrY3igxbacdqo6niYSc/xg94gaSgZ9g3/AuClYaxQH6e WHHtAOZabEd0uB+u6yhxxIQqLOv0Ep0MYzhrfjVcPFcJrQmn0cFwBMdfSWLl 0EdYPvUrlgZ2EYGf+vCuYV9cmr8eclYbPO5dfIO5Odrwam2TlCvMg6bhUMGX cQxwu49remclzwySOMT3ONwrB2G4WjYShpsh+81kiavxXryuMWaA8iSGa2+U WI01oesLL0xfpIST46tguDaNHR0G0zLAhcldpsAZvbC4bKZ42q8NUwcfwqFF g3jS/hNGV0p486+j2NavPwKCVPgvSo0NJYO5/6c9x5WtxQelOTD4msbeU4yw NUeZwZ32w3r8CdHkHiK6T54Gq6vZHHe6UmT9ceMthzQqhixD9fBi6vRciRsT OvKvzxw4ZO3Ezk9eCOg4hOdznyKp7j945vXnDkvSzF2ey0J+ot9URV67nchv 14tp2tWU+ptsOLr6OV7bDqBxd09+r4ritIAqZKzxlHipv4aWYlcW+jhwuvsl N9edN6CywpbLE7I4yjuNEekxnOakh55Sfu78JpnT1tkiZe1fzPSXUOO3K/cv 3ivyHdpwLL47vVpG8M/R/ozUeIOlLf6MGPoSeuoSHHRUZ+mYBqgOLUWXNAPx 9sNrDPthQZkd2bhwo4dkotlAvtihjs2DE6m/cwEqC05i1hhwiqcRFfIH4GiM EZfWT0dNkwH73f4Oj/VboRJawB4mIVAdMIrusX5syLgAy2fb4XT+IKJMlmD1 3xYsepvK9/6zcebHBvQaYk6/8m3YVBONsAMSBBf8w3OG0i/jISJVK9Ct6Dn2 zmgXIb/WQGnIfaiMUOakd0XsnKaPoD16/KDgwzXr5qFl0g5MXlIhPi9d7fHS ywQnjqvxTd5ofjr+AApj2lF32IMj6jcK3RQZnlVchaBBxhxSvgz2vllUevsB aqqr4XyjC9/1uokBtxxgUBpK9WINHos97N5vayBX7tuDXse8uDdYU5z60p+u 0f3YJ9SJs6ws8bRNi1lxx/DlqTqPp9lQRXY8Nyvo0uShKfd6WPLtvVDuWxPC 4FNzJHOT/RhhG88F8/7ioochTwb14beZt8WHkgQevt+PjfXzkKJ0BAXv5IS7 2gy0bz8AxTZN9hybz/ejx9LzjjJHRtgwWNtZrFKzRlZRZ64JTJbMMnwhBlk3 I8jOmKar5uDk7Y8orhjMLQYvsdd0vZD/XcjL0XnS3yCIo7Ycgc0gNz6cZc5j 4fL4b4A+F6Zk8HKJFiNO+/Pbw570Hn0A7970oOWi69DpEMPGgSvwbJUxDWK/ i10P7dFR3Qhb9o3C+0NWTH4oS69JWlxUWchbSWfFuOmWjHmRA6vcHfhdsFPy 2VZGvAh4DKWZ+dy4xZKj9rWLZUKDKksVuVGzAS/aVDyGfL0quS3lrrVpAaw8 FIjENyeEyd4DMNUfxeBZDsh1SeZaH09+Dimm7PUAXK8wQ8Kqhyi5qUyrSgd6 OmlgVj837jobgncmCTSe8kNMyxQov5LG/65HcbrmAUS4+Iisle7ctmgJbsV6 iIwd4/A4eyQLLnfgJq0WhB2bi9iDnnB+YcWr2oUMLRkmTunEsNvvBG56CHTS /iDWSvNiYh/CObaN+KIYQp1dGSxIHIc1zY+R/zEBJ5x8ubvUki1LRjGrpwdP 53+B25lH4n0nRz5dYU4XBwecr2oSYYo+eH95AM1CbTF7shlfyRexLnko5ow4 Lel4oRs/jryEgQty+albnZhZm8GnBhnMO6rILeVF7LtiFxYkF3P0ED1+WTUQ 2ukuosPVYgYfVOfmjNfYV6jAGsfruP9chwcip2F+2yA8bxvJuS9M2dk032OM 3Cj63M0UdR2bxe0va3DePhvL3nny2ngPmv1Xjdw7ejx10Y5Nvg/xPmsGjKab cKrcZInfUnB7qeBqhTD6n+3C1x0/IVw2i+ekm2/XtBf9DUL5vPwrvJZG4Nfh Hkz+ZM0Mi2FM7rEGydVe/HBOBnta/Vmirsx+afEYH+JM3S/7cSrMAq+CHNnb ShOTHcz5fofU4Q89hfmzXM4uc2P9yQqoeA7mN49mVH6WMkh2Cb/vf4Wew+5K uha68bnzagQ09eSI36ncFKnOFkdzMnccr/gZSf0pDNWauaySWyH2jPJjF48K SbupDGT9RkI9SZ03zRqR/bKEjl2dJKUFXXkzdjgjF5eJ8FR/ni2JZ1TyZGRX KnCs5nuc3a3AtIZI7h91DzH7quD8xYFqYYdQIe3v84GToP+zO9WMu/P8+l5C ZX4ia1KiGan7GHl35qD7JkP0dYjnP92ODD9kyBndoritwpXXzYR4sFiJg7te F+vqV8HCaSq+rCrF6oEl3GicTZ0VsVyepcMxi16LcdJ8jAkYyuNjR+KGx3IE TBsusVn2CpWKaxH97CCmzv4fBecZz9X7h3GyM0rIiMgKRVZZ3/u6pCIzGSEa ZiqyV2hHQ0N7D6WUVD8tTWlvTQ3tnfZWSf/v/9l5cp/7nPv1ucb7wTlgxdkZ cM1Qwb1b46nemkznn9Y00y6D2+J5SHIfy+rgHcLVORwmQp/vq4+iTtuJsWEF bCj4imMdczk6ZBX67OvCqqB2SZlyXwZ31MTK53IMPz5G7IiYwBkzhrPb+nMI lnYNOX0Jl4aq0vG3Iwd3akH4oDApCw/hsg37xL4R/Vluq407v1/gWpU2J+7R p8wSVx566s7rT5y4TOYNlj7/IhKyX+POAkuccVXnZ+9QhjUdwBok8Iu/N6tK NiNyVTgm2HxCiGUqq5seiNlS32w4/g37pWx1NPCPlOeCsNlwOBdpW3No82jm uEzm3yp9vNyWRN05VTj3+gJuVijy+sP+1PyxD7ruUp1HvBfL9irj6Wd33nbw EZuzE8TITOJJQCYbVyzFnkXpHP9bQejY/cTGXW485bERId3H8NPsakRck6WW RTwtR6VTy6VFPAtQxIDCrpwhZaeFM8bB/WYlItY14GGKDbWmecJRbQAPmPXg UT1l7thdJbpaNeGkfSDTZ9hw3TRjfBo4ii/dVkJZnXy5tgcfVTyHZtMs4X9B lqZTJvPGkQTKW88QjW61OCvVhsIxWQaEZGGLRgCD8t1oU6+EDc1mLCiz5AxZ db6NnohN2/ygcNuECn3SEJwRSLu1Omzd2p93jMbC6FM6Qq1H80W+Gb3lXmJO 6UnMaNXAh17KUBz+S3z6CD6e54M33o0YYmLKm9VyMLPryBE3i9j8drOYfb0z a7YIrr+QhpYLWTTMy4LYuAFa80dSsnA5rGum4WhAMPr1t6GhXokkumEQr03J hvxQf9hVtOKo/jjOEvVIs7XA3lmT2VZdgfmXuuFJzBFYrfPh16ILKF24GNot 8lQ5q8bUuE1ouDMFVTf82VCVxqzWSHx+kY17+V+xSOYGLLvLcp90b+s9x/Hj ahFLZTdC9Zq3sCx5BLUvmZQckufm678RlPUTA1Z2E30LDZm+ZguuNj7HxRuL YFv6W3x958H87WG8/sWf1399EgHe8Yyo1efrXpV4XjoYOVMzMEviAOO/vfh9 sCn7f7gpPssdxqLJlWLkCnBykxz1zymzUiEWCQqjoHh7lJjbLRu+Jm6UUcpn d5sPUvb8hemaA7hpaGcmRg6ipH8ErI9cxe/Dc+Dqk4CbugFYFNWGuNlB3Kkc jj11NTj5QZV3nNuweuNObKmw5YVTlpg/2YilPt9wYbUP10zNhoZWMn/lq2Nx v2Js1LVkfkkqS03s+XfXOG52603Dpd25+7gCp5vFMF1ksbe0ezkv8WPpym/Q zmrBtOMB3NcQQZsTGjzZWw/ebk4MlHaf5nv1YvL9NJzMP4JFXgVCd+A9eF1/ DE8NDyyMPya03mRym0cprJerc5zaKNqcd0PVtlzaGcpSofsvxOSZ89e1UfTo 8QIH86N4qtMLmDgUcmrZUM5ukOd/u4ZynuVf1P4ewmwfOda0FDAydwxzssjT hxbj4G03/s3bC/3BPTlnUxuO/+iB5S4duPFti7jy6gieBbdh2p4CPvE0FwEP iaRUVT6KWyiCxoayw6OjuB4Qyce5Fow27MuA0tE8eeMCDEy1Wf5MHqds6tHx 7T7I3L+A5A75PJUoZcbSdTA81oLOFWsl0w024Pu/55ilu1Gk/QyiicFQ9urQ CEe/ShQ49edYx6d4E9CTfps7cu/cCpTYfMWsnimIKbMTxSFyOHDZUTqrUpay 7cnWR4q8c2A58nYNYJNzBIcbxNIksw4+ny4iy1qX/YKsePesNmefHcjHexO4 MGEjVktz+lViNpOMnsN//H0M2hHC5GleLFS8julaZZIbJtMksWduQb09R/I5 i1Bve44b3xW4rL2IhYkFXBD0GMbSnn/XypWpCmsklbkQOyNbIfY2YFW9G2Qb e3Pd6h1Q29dTyv7q0F4SwvA1xdz+5AmyHc8LzcV9edLsO6buuyWu7ejHAZ5N GFN9BuY3ziF3ipt4PkaGmpFZvNRmS6+oVtQXxdO4aBDjjxvzmvUQt0dvM2mc 9FTEFFhxaPQ2MW2pGl9rRrFJ0VToZ49ke6dylK0rg8ybEZzVcwrspw2jo+Fo Otj34LdFnjyQpkj1rdLe1qszh86/grSgYaypSOHrGab8llkqEutjWBj4SJjf SkFtmQGfrb2DqXdkmB+UTed4Nb5QH8YjOyTMMDWhQa8EZgb+xE3HDdCP0WO/ VQ7MkvY/z4bH0PWXATXMcHEKeeKxAS2DLHjkiTzlJs/F4bO9iUx9Dl56Fmna mjy13BJOiq34U6bP1pxfGPenG7c01sH8mS7Hy4ax8c8NTKsdyWMHvmDNBn/+ e1iIf/wgXG382afyAfzbRguPpC9ibdg8EVQ9FtbBCnhwbL+4JD3fDQ+7Unfx KDpbj2Duw3KEmmUwlvMks9Zk8U2fUzAKjcXSv8E89iebT2TTRXG3OAwfsg59 fxXw9OMoPElSJJdE89zRRmH0bTJnn5kqktKGMexlE7J+bBFDzp8RTlWEfng+ Ux5GQf/+KexZc19y+2I74iNXiEOtJUKm5DHk+5nzR3k0LZr+wvywIw/17cT/ qn04QHs+psvOhUu0JjR3D+fYrupcftqfT+48EWGTlRGaehVmmT8xb44z7W0v w3yYKudGRaJipjwK5OeieZYpDo7156m7Rrw12l6ac+ehtyyR2ik9udHhGAo3 /ELfmUmsHlIG+Bqx2592iVJ9MlPcdgvDM3E0lOgwwymSZ4Z5e3QxD+G3damM yk3gx/OvsfZjJQ6crcEMaS89tXGbsDD5hAcT1HFvvLRrBDeI38vs2fXiaVFa fURse7UarSk53HytVnzddhHvF5nw4XVdJo/9ihq3ZaLvnETu+tGNU0IKuWhS F7g+06fvYEP2tvNk+aoR7HqhGxU/BdPLSAvJtpUIGLRThNta4Xdqf/q+/Ib7 fj2pcTuXPkujuWt1FGfm28PUO4xvrrtw5GQH9s6wZ6CTBxNvJjLnbkdoHhrO Rw5eeBUYib9vJ7BU5zisV65Byrtm9Bu6UhLaIxStq8i1mV34NuMt/h7S5JJv NRgke1KEBQRQJ8SHFVHr4a44FSvjB1DGe4HkZWkVOn4vEn9Kr6KH4TF4WrwQ Fy54MDXblbFpvujW04Un5d6Id/1eoNRejaeeu8P6wS2JxkYr+p8ox7W9BmzW WwbV/HS2PSnk45YWtEVXgd83o2NaGdo3/ULJzQHMGtOFeUMqUfdrNJ2W53JW ZTjWXYtk5aG+tKzdgan9lbiiagpuWnvwpJ0G/T0L+aDPEcxxDuGGPv2kc/VP HIwbhB6mgnMqDTjfKIKjHwdTpocHPefNx1sawvJkkXDYuxzlfdaK9Fu2jK71 wvUfMux8uJC1FQtw3DKX006m8f39cH7evFXy5NMybCn3Y+DUYNySavhSsCZO VU/gka0JeDlqmjgcLcv01DHMyxxLu/UxVG9244zZHkwoc+ZrhfXQzisXL7Lj KaauxZthY8S5j+l8pDec8auDOWDPAuzsNgMjrbTxbFUOl70QfPrCkDueDOB1 9TFM1z6EdY/C8PTJPfGq+iFqzhwVPWb3YPjLdzBoDOaFBQcw9nI9/G8Zo+Ke HzevUOHpZT2ovcyNW+9X4mj+N6GrfAsT7/VD/b+D+OnqzK4/wKDrN3DT+wNe va3F4G6pGNB0GdFT7FmmsgLW41KgcEoVh2e6s00nj2andns0BC9D4l07yHXy 5WCJKtvWmMOxmyuuf0vljk9DeGepEisWTWSCRZy0Dy3FzSlbkPPPF/qN/yE+ LpoqXSthOf2V0HYPl1Tsi4JFcn/ckXb8QnU/Zr6Wcs66jiwp0+WQJl3cfLdd 7P1vJb59V2Fb8CRMluTR7lEY85M3Q/5DNM1S1Dm+W6kw/b1Mmp12/F4wjKHt x8TRvTX4IPdR0nlLHPxHXxK1cSrcezeO/X86Sfl/KpodYhAV4Iezmfdxd0oO E6ffF0qB7hw4vhExHln02z8WgzOv4umZIbj3yYa1Ems2j47l3PkRfPC1mAan hrN5RldOeLZBYlrqwFvrRrDsZBeGd+/NrY/2CKtR+8WZc478KPWiJQ2dYb3G l7pe1uzTP59vcuXFxac2VNWXofJFXTg5l4kPUm7ooPfA461NIidVK7DdWoE9 dMIlAz5ZUvWRIQ97G/PQ6t3YbjMXd68NptXfd/Cbacjo4V9RXRzrvnDUaF5T +gOZBF3O9pmCy4G9UTzTiDPvK9BjcgJXSk5gy24bTto1G3WHToqccy9wSVae 2mNjmf1dusdpwaN1t/E8qlF4jB7LCIOLyMnSgnXVDvQ83YPG629AdcMwLp4b QN9Jn3FS/j1yK9+K0ydH8uaNfsw+W4j5EUM4clk6Lsup8UHENZH1rivH3vYU fSYcweHaBiQXp7LnrSQWlilxYsZ4SnxMWPp+In0vjMPyyy3InBvMT2bDcLN1 rcSmSo3hTntESqYZU/bORq8MEt792efTfPySD6Ck0wDs3VImHGvSQKNshvS3 x6BIqb+tG8PvlwagIGcV0jrEcbqhE+db2SFl6WoELolhgsxkIuqQ8H2ZI7os 607TE150PNwqLKwNubfDSpi25lMppgUZj+3Y8mga+kfE8NVrX/5O7iBcaz05 ULdOTPiVS+cBk/gzKJ16HXbDcfsVobXbA71Wd+Oy2eHsMEyJjc+XizZlVcYU yFJ/dhkiw6W6WDlJ/He0L31NpevVB9OyUZWla6fia9+THleaL+Pt33tI09iC gNPn8edNLKc1TmBLRbrUH/W5JPyC+KMYjczzy+Eum8p+nqYsnJeKP+M24dZ5 TVqMs6ReSCfEDc1HbwtL2K2YhhhPDS6d4cmbL8zgubwdEUdeYsHGD8goboNa chlarqrxfZkxjUdr8ExEMduHqnPraVPmHpmLqv3/cMCuiEU7atAiP0SM+LMC /n2uYGnDOzHMoAYRu+ZjW9RhDI925qP65fiW2JPKPWNZGdoHOe22HCbvwppJ R8SNkL5siLBjt1nXsVAylEuGDWR0vyAmWelz+sNoZsa4I069Cq5SRohSV6Rt cT+O7mfJTuPv4mj5X6HSw5lnusewb59UPDN1Yue4HFjqBvNgsx8/bjMRY6s8 MTQslP0UNki06zpxZFUQlF+k8t9TWfbON6S/Wx6/dTsijr5Soxbd+H3Tc3hd CmXh/HB2r8qC1u4WXLnci+N8czly9Cy87mnFsOVhaN7REWW9azHsngISL+dT Y9QArqvbKO5PiGRE21fJlE7rsGlwFFQMXbn7pRkjS/9g3+fnGPxjILvd3Y0l K8nWCXLsbmzCrQXdqWodwSYXNQ6cOgxJf2SZf8OCO6srxHIfGQ59cFhyDcWM 3R/MWXFxnDfGCtUdUmm/uV6SrnVLHO37CQY9u1Es2AU/1S60/leFn9rTUDbH FlUp3xBl1S4enBpJxz6zkFp/EIqfVLgp3J0vWsrF/K9WdI8M5I3T+lybMAWf hz0R0zs+EF+v7sE3KaPl7atEH50JfLrjDpaUrsf0dUN5ud1W8vBhd86dF426 mhUYkpAq/j44jtGF5yVxeQ787rEYlh80OWOoNs/usOfSJVLPfTyacar9+MA8 nu4bApnevB2KLu70H1fIMQ8yOVHfgzMr/OAwZCrm7vRh/fj50JsYyWdRHzEi 9YhIfRzFNwfVaWVhQJnbN7BwrAwOt0Sx6PMq7JiUB9NLDozOAX1XRPFznher VAYzzDoJ7Xd78GWzA13kI0S5JID/Mox4cIoJpl//K+X2DGguvCSiJV7I/mQJ je09yDonnr/pxEtZr4S72UGUL5WlXaE+P7pUYY5ZBzYNNGHBfgMed+pE155v cNlDmYm/lJi+Wjpb+aMoGxTE4BsZ9B+Ywu6TJnCZwhrEvNHko1uaPBTeBren 8tSYkcKgZddw3vkkdrcYcngPRZq+m4W1Dl1gdXApfHb3Y4rLa/FUsTsPlaRT ddhnccRVB6npZ8VNFWXqL9sERYuzgMwAiXOdhDddoqmrWswMjTweeawDhcg8 qeacGXXSjyrPa7DgcCr9V8nS7VZHzkiZJ65rGjLUoifHOwbTeFkIZT4ES5bN Hc/7NcP5Q9qt99+fB7kRSnQKI9f0c0VYzRhe32AvnE/m0rP/IvH5vA3D/vXm ztcy2D80nz+ffxMFX40Y79uFss90kS03kW8mj6BcrJUI9vXllpqH0HhqA/N7 5ti60ZznduthrU0k32vmYbT3bFwwCWd9aQ/ee64g9fQdeHHHnzN3Z/LLvxlY eNiLtytVeee/UR7nk0fx20h9Lo3qQ53i/hwlPCF3/Jf75FUJ9Dt7Ghvz1kKn xZxlCh+R9a8PXiSUoabFk+bzY9D/dQ5lZBT5NnWnSDKVMp1DMJfZWbCL0R3M fbwOd37I0/LyRjz+1FPcHjuBmdMWCjVLFRTumQNF2fn4z3srYjPvwWxNA6Ly hnG2TCzsLP5KvB1COSozlJPujGNJeHc2u0ZA29IBClrK/PhjnUf/a905qO6a ZMLfIjYH9UVIpzLJ+Y/D+WH3U49ox0bRZh7ODI+f+BPjyBVOxUz2zmKtYUf6 Onkyx3IkFZ134PVKH67OvwGnycUcE2rI1WGDObz4LLLNUlmdbcCgK1ass41n 5dQYtOp74/qMvmxeMYINTuoireKDxEBPHf+2GmLRwN7UytmJv1X9ue17rUg6 HI217oWMt4hjRUQD2gM+Y3axDXxXK9B68nuJ06Fu7KuXyA5T+vF9+TA6pTdD 9vFNeBin4MVtI+5uzmRjb00mpN/Ee9dnqL78XjhpTsPnq1Wi9cg1uKcGSl6+ HiPNJBvmHtPhJ0tvHIt5iLK3HbB3gSVPSOVm82Azltua8d+NNiTo9OWIzAL8 iwqg4dxQRL5PoPKJXpCvrofe19GM6JxGWSlTfi2Qw413oSx5Mo5npjzCw0FO XLa/FE9Ob8DbLaXw33cddScz6e6zBD9lExhxIxyOF+Q4yd2c9fPqsfz3VLjZ 9aPv/X7i2scipv+XxuOnyvHrTAgLd6ty5LihtLszgbLS/KvLS+ZtvWjqD1dn w8WJfBAt9fORGbRcaozgkwrsPzSSr7Y8FT1LhlJO0R5yHpcw7V4WuqYGcnrb SVS4SOgbqcLGCm+GeZugz7quXNqtBG7n3fnHdjnOKhTwWfBD1GkYwOBuGNN8 9MTq5dIOVrBfLGvogHXBvSg+SGf623gqSGfWPyONQe0dmb58GNcfHcmPdR2p 7PYbXvlv0HWULxJm29NlSqOwUbNlQWAIO/sX82ubO3OuxnJmd/JlphELoj9j /rAR6PEklO6/ZmJW+l54F4zjtEc2rBucJDZLtmH9/BcwLL+Mc6d7cu+pBD6J L+LTtbEM/U+N7/5WosJokOTI/ApRILtR1C834QKZkbxsZ4Pv+3pSU+Ui7Lps FrZ1WuLVmr+4Z3RRPLj1ES8D8vFD18XD7Fg7UpcOokrUa2Q+qcSOVFVevueJ QqsMydEXN3B8f6NEdUIBL7bZ0GLZMzx94Ynfnj3Z174Hry+1Fs1Vk3mrxodP 7+bQ8Hgfup6LhPwBNz47l85FUR3oNtyF4TZF/BHxFAccx7KDyixMTHdB9O0w vk84B4+tHvh1LYtJ19KQPwj4E2HJysdGrJ6ezFWqR/C9bgF+7lfA4N0x7FHq j7ApsXzapxP3H9ksbn9pF45dizj7uy37fNPiJNl45vZN5hX3CCh1NxBZHX9j fsYAVjwZyIWBxpw+rkHiYagAncI/oq/nf5CsCOD4o2nslLYXcldrYHxclV7L pXNyuwNX2XUTTtIOXjglgnffv0J8qwr7BnrwY3U3qvboS89DBYh64Mn7Uube kebC/QpJfKR5BhENqiJxwjI8HzkVdr0jkTL2L35Je/M5354cbpTFqJvjcDGk J65azJYYZ42gysRxjCisx9Zu51FoWYkV9x3ourIT8sNnSiYeeYHef8imG9tg tKEDb9qUw2qmPff0qUD3nd50Dijk0GRrjlj3G8aXbuD8jI689NeZ/VI1+Ljf CYn5Kw9e8nsgqr8vEQZ7tyE4uVzEOPxGl3BlXvX35vXLasx8osxjyxQYf94c 11qHsY97tlAvKqL/olB+y83lkV5JwmfvWdF+vQcXBcbT+Y8r9t5S46qeUew6 Xdo/NstTecIwsau8C1Y/lfCCQTeEiAjm3ZwueZlSjZTl/jy0fz0m6VdipawK mhfbSC4kHMftThHs80+LKd49OPObDP2PdYJnmhYdX+5DvHQ27Q+NZ6LZJyz4 vQjTbbvy+PS7UAlW56tzpdCx8+A3vIWd6yoM+O3OLk2a3OYRjIkNr7BpjRGn 1f30GFv32ONI9xYhtzOMY+74inOh76BmFs9/Q1X4/qk9Zx/J4ouUpdA63YE5 Q7ywZLMZGqzC6X3xN04oFNFkYw4l38vx4mFHxq3sAsnJLxhrrcecqYV410GV 3Q2DmJwezUeW2mLjdzeW/Atn+lgVvi5N52ytDtT92IwrHh68ICOPA8MH0n5A PBNH7MJLhVQ2BWyUhOqfw8sVt7GoYQLYwYkeObpc8S+X3nGD+Xr0Qtw1+iM2 TlmH0uplOPpTGdYLbkPn12cU/RzNe53VWfbMClreBlyVNwuOehdg9f2ER9dZ 4OW4ZuG/WpXrjN5Aa+0SrM0ewavLk6nz+DRiPkr55owM7t0xxoljQVykO4Yn JWfwZe8gDtDP4alaVY5/FIGy99tR02zD7DJNbr4SzldtTz06FTzB5utK/LBW F1PfncXYL4Hs+eoIKu/4Uc/9PCwbzOlyz1Gof/sOheQbCA3x5WHz5fA8+lQM 7tCJewa687SrH4/ZCI6TncTdySrU8r6GnTL+jM/cI2SznkHFeKc45T2E3tN8 WPB1DUaqr0WDc7Sk8PNryC5R5dsaVZbPUORaPyOqzQ3x2OKYzh3dh/HlORUc lbPjtbkdKSO3G3NaX2LJYcG/St+Q8PsORra5ca1QYlbMMOqOV6Bx5hO8+ZjP klnuuDprqjg8ZiSSF+igYJsyL5hGU29mCP8dlefz8OHsfGYxUovspR7QgruX lFAX7Q45FTOO2XERx3ye4/2pWqSFOPDIj45U/NSbMmc8+ds1kA/qY6E5rBNP VU7AmMi+6C6pwIWaebgu30HExG0TXmGvsfu/GXDWMhOXSybgqoYb3pmbsOje eLRLM7drUjKGr5Hy5MsH4o9JEsxsTdi67CNsLlgyVTGQn9M+oXxyNl2kzNo7 ogvll3Tl6fv6vDlSnkmLG+FX1YHhWV2Rq+uAAUa5NNowiS/006kd3ObxtkqP L9aFc2KJI81GgorSPFh3ZiinnNKkh+8ttL7bizD7JLp9GsnDDYO57pw1K42+ iy6zBvFdy0rR99RW9DcZzp3PbNhL4sT1ZWN5PjQfO0s6o7HKj3f6heHQ4nV4 NL9Z9Hw3HiXrXbn90Bmx++gOyFa+ESPqFVjl2gMzy0tQqJTMhEf9WfxniRh6 RIvHZq3DjAPDOGDrVIncOQuaxH/F1pwD0NMX/HBIFptK5qOmZAgait149pwl zSbcQlabtON+FxzlMYAdKnswabu0g18Ew3YrcdVcCQwTOjHEsQc9y0tEP/k7 4smWAL7J8qGtSxb/q0vh0dbLMHwSRxdrU7Et5iIC2vQZdDqJ+XVL0d7/oxj+ SJP8Iu3Yu6w5WMGWr5+eQ7S/seTFyT4smebMsGnyfBPrw8Eb9WkU/Bn/wly4 9M1ZvK36jPKoYeJ90RBuUpajhtJxTBgQjXPNb6Abv1zsfqDA9045aG1NomsH VzbPPI4RS71gpx6CW9dmiQnhdbh4Uoej3d9DqU5O2E38i5slQeiV04SzEemw 75XEg51eoHPZUB56vg87fTvyrN0A+uiPYd3cWjHDJY+ZL62YZ1LM9rAJ3L3D kDuWjeSCEwsxdlc5FoS+R5e34OGArWKwtzXb0r3wcVA0xatCnrOaJXJSO7Dl vAwnqs+X7G0+IK7ZpzN982+x16c3iw4vhcbi9bj3pgy+9XsxrM8gJu1P5LWl 3Tl/4FcMqc3gGwUZ3i7NwOilgyn3eaXwmmqKjXc8qTe/KwPuWnC/sj+vh5rw WeEYVK4ZLexVP6BQrBMp52T4saMzv9mUiZz8WEZmOJNrg9nZTYbOqon0M7Nj 6pGdHtonQnkxtRlb7/xCiZIP9785h+dHP+DAvGHcYv9SonPoF66GW3BUWglG XSwTTsbNkFhdwAjzDuLEFl/W20v10d+GGzcF8H5xjJjgqoQLHiO5b3VPyn53 pryUtbS0rmPgsZsYszWMCeHB1Npsz6OnvHgs5zG4YDjdTCfxYJM9Lxv78Mf6 qZiensuDQUkMCerC1U+VuPTGQYhxJ9HtSSPSm0azU8FEqNemUtx/jcMN2fRv 7s0xCd15ZpEXJ14q4tT3alRabMVyW0WWLPVjV7cFuOz+T4yuPo5fG5SwN92T o/3DEVInzZkTP/Bmw2qEN+bzRdYPTFnhjqJCPS53Tee4m9PgpJfOc3ox3KJh zX77qiQ14gO2qfZC7IFCrlj0CO1Sj9vzujvVZw7EIKswLpW+W+fkkxgZ6cvP c/T54vVYPloYj5/9HsPtSA7Fx79Yv5vcpbsFbpu60OTRKhxVcWDssLEcmZfK HdtcMTQsiNHJx3DoTS+k7dNB40NznpQzp0/GJBo8V6TDWwMaiQJ+Wj5AojUh mTsyf+JTyhBsP+LGK0ElHod6lqO9lxwPGwVwq5S7zKxMoDb2AZzjtCWeJ9S5 s9MgPP+oy7hFQSLJ4jtswwrphYG07RQqbiob88rORrQefY2v/iHcmTGGaxf3 pJtWE5JdXmP/IFOc16+Cxp0P0O50W+JCZ85c6UtFBwcmbbXg7opp+KdODv24 U3L/jR4vvgukbvtzWOQmcfdjTQYtuYBleeMo36kDL2MvHm71Yz/ZLIZ0sKTR ox4sM+zC5qlfsenhcTTW/0DwYB82fF2MQZWyWLqwG+2CLah9OIM6f1/gTfIr DDu1StKg/RB6k8czNbFRYhQdSLnRspz6OoHFWqewZVG55PlND/GqaguO7d0m kg4GYeyze2LN7CHUeqZNq6H9uODwaahuVuRJKx2mTxvBqjQNyQ01QxRc7cMq 60GI7HEMDfvJYaaxVKKmGDYgmIeG9cCO1erCbsw/XHHcJ37sWycu+d/AlHVL cSh5EoyH9BSxZ7ciotAb9dmRnNj8T2inxGNVgjF1AgTeRpijPmIyw96tgVmd G/81C869Oszj2UZXKL0ahCzY87/OLhx/aA2UHIfiWmwgT8oEoHHrWrw4GM/y 8uXCfIMTvctnQNKQh3MhRvBzrxIXZxfjws6/YsXPWjy38KNj7ByE9vLF69+J TPFy5OBwI26tvy/pFbcRg6Z2YdaQAE78oMD6ihBWKnbkIYeJ7HziLNL0J3JD fJs4+CIEI0frcEz0IJ45IPXgMZGsvh/DO/sUmKSRy2fly/GzNpJ23avhKPLY 2cwDLvF9heXqmchfGoB5yrrMVtoJ35eKEtnP2uir3YOqbta8s24rEjUWwzW4 L/vV3BBpB5KhLb1XxfKFWOo+ivfnFnJsV0MW6qwXG0ymiPXvJHw/MQKlv+8j Y7YTus30QszKOKqZuDOl2oBhngF090/lKLs3qA+bj6NeO/F97X3MfWTGumFh HBjWj/YyN1Az5TIeGioitcCKNSNlOVJxA7JuFuN3TC6L/b24RGuOmLNAgXMy WoRX5XRc+yjH7LaOyL86BVcM+njcLpT6jsxjTJ0Uy4zbxyUHsqRM1TsTEmNT btijwc8l8lydEYXMTqXQizkmnCL+iOhoDyp4G7H2aAzfP8sWVYs/iIlRRbwq iWOHF8F0VJPl7JmyDM434sxXurCP8ODGWY4cfu6WpFotE8nOPpxcbMz1n8bx qmEdzM8qc3yWJ+X+avF3niud90xBoV1vDFp9W/IuIJV3typgw/RCjNlzAA06 itAz2i1MXxew5ZYswu8MoRO0eObgW7R3Cea0Vh2quc9Fzf1evF3hQ83+Afiw ajreB7vi4X0T7rW24dk7Qxkcvw3DesRyyrtCOqsEsuXkSRyXrrF5W8TE6amc FJ2Nvuv7ce2EXlh9YCk2tE7kiq0lSCzLYx+7NEo0AC6aDdcuD/DB/RBGLLCg b0oMw4oT+PW4IeZtMxEXWkxxqrYGvw535ctDSWLhxD7cs3E8X/3cide0okea gPuLLM5xl8Ua3RoEyWvx+3vyVmgUJ2yZhw8hTRgo7MThAbn87HQZSz77smi1 Fv2Lngn5xGK2FI1hwb88GnvvEqcsO3KIQRy7fNwLtbaXMHtlxO3X3wLTtHgp oSMfNsaw6fMBJIVaYdmF9WjWNOCt2+o4Ivy4ctIWccwiD/M+zhI6I5yRLDMD rdGelL37ElddbNnWWoFr76xwaUA62y7KIqHDJvipbcHgC39wR3UcB2bOFI2F AXxh9xYeG97Db+soOu6Y576+aYGYbdaJZv9Nxd6Ttnx8MJRO5UvRr96CTWpd +OzmKJiW2LJRPYIWVR6UKY5nYJyexNL1L/pJPezI40QO+3kZue2VQn9LMB0y dHm+tgAbVk0RkyOG07Amj7u/LxAxbZV4XaiBZX+bcc7pAvxc58P/ykhs+ZjD Sw/I6ad3YduJGB59msxAz7toa/su4s5cgfEnOU67VIUbf+L4uXSCaEh0pFvY chzVmScMR17DtQpjvpyrzDPJsfTzipEyqzUb20zxa1F39tleJ05elLC7ynB2 vd2Zmn6rUKfviL6BKeKn9zQ0O4RQdU5HVmf4s1HKhPYffdlzVBGf16qx4nAY HCsyaNm1H5/kncYneQX21w/kIblktJRew8jfUt4490Ii2RqHWvVXYotbDEf4 NmI5FgrlWx0lOX37cuTnrhhZMhoaC7zZsciahjlyvO9ViJr+ozip2ZEH9vai zh5HVpwPJ8fsF7evaUizqy+jIqNZVp2CWiMT7jTZjE8DOjOv5iLcLcfz5PW7 2PXWjnOfqbDjm0nQaDdH7B4H3nowHyd0m/BT/wk0V66C3uZjwvrJU9F5pkSa 2ap8n7kGa6KuY1HtQkim+yDXeAu0SqJw4Pc76LU3ImpZLIebb0f5duK3ynFJ dc4g3j5kisiI+ZjuFErDvL501ymmRO0oMlsDuDbGhKPbvdj5oD9NWgIxYXEe Xyr3p8KTznzdpTcbZJOFx+zDaHvSnUZa/XionyL6BgUy1sMB91Ud2PFOPLsZ JFJ9dRXaBmWRnlKfWXhN0kXZh8FDh/BK80zsGmyNOUqLJaPGLhClLzshx0mG EXeUuaw5imaeRdjccRJC4tZg7VITRDWNZ0qfqcjo1JlrShehdc1APqk9ieh+ 2YyzvwytKWOYmRbNH3MPoSTIgOXzAtndN5GtBpZ8tq0Ga7c1IWjRB3SPO40F HbL5UC0fU2aZYUFcV1TNroduly/wyJKeQ+euHDHCkzotAxjm1JG/Iyawv8ND ydobljxIb97+vR9alywZsX8Z1CSrUa23SwSb9sbw7x5UrjyNHrPVGRgzF213 FoincnK8Y1eNc4UpeDf/Hgrf6vDbg/HMWrEENy6E80amLap2fEKHjXHcEOlC npLwZKA1Sx0G88rnZDz8pcHjFnKsHSXh78AmXDVNxNB5FnwutKXPNIZZl7S5 K6Eeb6zvwvB6Ns5J57pm9Wkx3ViOShq9MK/LEzxoy+Lfagu4eR2Gz/ibeDBb ibd/jqX9CDdWXRjC8x+bJZXPxqDlVCCVNXS49Zo2M4Z+Q+ktc1aei5VsmLcd aZdfQ7lsMv7/3cHGT6M55EqdSBWRTJmWwxmPBnKGYqUIzo7ln5uX8Fn1It7s cqN/56P4Xv9H1C3qQzP5UEmx/CTabs+hv3UQN3+djsLtCWwd7MX3O49jsIE6 ZXqFMaNzE1YkvYSxpi4PGNiyKrcrOp7V4w+bQhg9LOTx3c7CLGMYjxWk8sIH 8P63WJ7e4sMc22liVnCqpOKbtjC/3ICiRfq8bzCR3ZZ2ZoStK7t+GcSA9WlU WHhBsm5aBI9TljsuF7PxxkHhbBIo9i+TI1SmwfLeOgy5ksTRBg9wd2E6vxVK z/PPfyL5Uxce2LUeia/DoTzlC/6pTeZ+xRDY2WhwysuusPvwCkPa+sJ7nyZ7 KZhRM3kEXz8qgc2rTUj++lR8e78OKhYy7J/XV7Ix0IALfpQhcvYxzCuZgqOl nfjExZyZGz14c5QPR98EB0vXX/7/98qZJnzf4yWKq7SF3M0hlNGXp5GxJn2C mjD/+VRx9tMc9Lvfw317V23Wl+XQ5bk7b+5uFMeVroq7ph8x5P1iofw3BPFG 0XT+a8rB2iOp1LEFdz+tFvMGz8TFZw6c5G/FrMv9MSVrsrRPFrF4Xy5q3jRh 9sohHOitDfX2KBon+3L5pgG8XuvCG+HFHDxyKq65pXHDiRAeOpyL+zPINKke fucG8GrzBK463Z1a0m45xuwfvL2kvWxBi9h7fii8Eo2p+9jBQ/HJDBSv1GSt pytyTHuzqu9h/My0Yu/O+zHxTQrH3f0PtrGutInN4PQp4SywG43uNutRtFqZ 0yOe4/PtJJ6KcmRAwWvxKL0bmzZdxcqFLbg/+wbMslKocWkA37bFoFliyhs/ Hbl0cFc+LF6Ep28H8eW36R4zrw6g1e2f0JHOgdcQF+7vaMjJKv9ha2pX/uh/ EQnmary16yZyXrfhy3F39yUyGux26Q6qrepxXIxk9pJTSNNdjrZ1aSz/uVd4 Tlamx1J/RuftxNUTNjSsi8fJ9+tEn5euXNbSE+LCP3SK640Jx1SZ/qoOG3UG wPhPKFuGJnLNkDDR9YU+PBO1+FrmCOIeanLZ8QDu9TmMXk6R/BwuzYdsJfZZ oE4l+ecSH71OtFzzGltK10FOJR4LWmdiboQ6fRW/oyQziJ1n9Ma2SFfWph+U LPO6gnM6M8XpeaOp3z/E43TCEPYvqEXGHkUq/pqJ65e94fXwCg4OMUFefRTv lNaic6sBR7b4cv4IXTab2PJT1XKoLuvDB7EBovC5Abro1ovRfW6JkiY9Bjw6 hFXW+9BpWpsoSOxLSbIHtRc5ME7hHVabFtL7YycerX6Hl33WIO5NGl03GdGj vx3bb/sJxbPvofPUDlMf5bEoqoDe+u9wpLs/5adLKeXaHBxIGsjYMap8tTJQ sssD/LJBG3XPUzihbTO2vZX28GmTmVtgyiWVeuzh2Jm/HXfjT3mE8Fi9XRjs jRZvRg6mxedQLhxXIT7YzYBWywQOXTQX/43JRtk4Gci4ufJf+iZMeqDFhxkl IsHciP+djKLFn2fYsN6XuRpmPHd0KH7aePKcux2zDfNYu8oKH6rvwOpgNx5s tKFOcQw7vv4nWhJSmPBzGLd8lKdzT294JPuw2a1OPJ/QjrVPZHjqaSyT7lah QlOPkWv1YKhmiq0KV8XIbW7iaWuzGLHqjrDWVKLsFFumLk7n7wdvxYdQFzQv S+DEZ5ZsH9OVdQuiOEWjJxItpYwkp809Z1PQcLYnJ32TZsIDWRRZ53HH//+R vK8LV3SfjmDLBbDQnImbo5LZ79UCGJzN5+if6jwww5wGQ2dBsdMQNvh6cFX9 ROSolcJ2egAvSzv4UoPDYlbYUyy9ehNjatV597/e/K+3rUh2+Y3RMSocc6oK T/Nvw37rdhx0MaNer0axXu4uLvsXMdkokjdWy8F6ejcGzL6Ms8ZFDAhylsRl q7rpKdlx8Gdbupn5cLGWK2e+HMqDEbeh8eo7aiUDcf3bEexfIc3Osd8hzily eIYSMyuXuJvEqrI5uAMLdxRBYjuWjyc7ce0OTaqNn4nEjfHQ+aHO/kpafOB1 FPH6rqweloRVSZ34TRLMjVbb4P41gWV3HHmwXIVqoW5MjjaD9Ripl2RXi+Z5 ztjl6021NcdFU7c68TGpD1S7z0bWiBj+qkqmd2kix63bD5ehTqLp0C9Rm3QR Xvl5HNtnHJ/UjKKZJIl4ZEirRzdgef0oRmcex6cGOWo1BfDZGyUEi2p0eNwV rbFD+V+Pwaj+bxyuH/fjvw2zJQ90W7D2sTVPXDNhqfErhB0YwKNvtbFHZ7P4 M6AHSt9GU2ndfTzrslBkiI9YdnAMa1dcweQTmextvQsRlY0oWnwdips2iV6f fIWD+STKqTiwz007nnHO40e1YtrPjWKvzfGcYtcLh4uj2WvqaTHp3Bz4t+pz XOAgmDUEYaDXc+yMssGu8gJaVMhT//Vobm5zwdLqT8j07itZfciZfhNT8eVg Gkv63sat72o0rtenRu04Knxx4P5jOjyYYc5TSv0xWd+PPk3y7H1BkV5h5yV7 xBPkDu6NYavc2OHSQdzKm4nLG0dIHPSkOrszjHZWk7kVkzE+qQ2J/6JpKUml i1EUXnyK4MJN9ejvMBx3C17jy+4ULvLIkHL9CNj8G8p+Oi78tV6LLRXjeeuj GrIVM6gn0WOww3iO8dBl2oCt+HzQm7vlByBD24yHxi3BqyBlTixQp8rDEqgG 23LatVjRI7IDrHafdxsQWiLcvdbgcLdrCHFy4d8eGnwlHHnt1kCu/XdfZJRv EmlZ7gxqPyTuZOVySqkjZ1j+w5vEC5L6SEWelHuASZMK+VD1GZSVitkaJj3/ 0HYcfLAO7UEO1LqpRPeD/hLzU/uwqcQOi9+9xJySW9ic14GbsvyFj3MGPSMP 4bz2I4x9HEVZ+6GMXJmGtTvdefrNCGotnippc3VAkPsPuEYV8lWGP3brt4tn kSNhf1rCQcf8cP9cCHo8bcOQaYPodDmdpkeymRc8A1aLE/Hz5HaRvGSLOH34 CaaUq1G1cDDPbM2G9j8Hhk8ox0njW8hdZM6ShokceLUZ9v8qcOmYK5/sHsex CZocqj5QMsNpFeLm34SCdLYypjdhhMYETJTbgqBlW1F5141q6l2Y9yEKVaU6 9G6fK9rOplPtfhotiov5xWM8LysYMForiuN6jcSRLA/62YWKk3EJNJthxlud XyFZP4XP+wfTbuUsFH89CK83Ktym25uPr2QzXG2LJNH8KqbE2/HQzKdo2t2X 048udk89oMry+VbMO+rCMoMBHFEtx4/7FyDs6SS+ed8BUX4HENYxh00VRVz0 /jzKgvrzu4MXLW+qwv1HBXp0GcXL2zsjZX403c4V8k0MebVvIt30qpDScxT1 J6Th92xbbvBLY/4jM9748h6mX5UwxzmacxS7Mf9PIayTKDF/k86LKU0oKxrF jP3uHNoniaklp8X+P2ackdEX1wuK2a7vzXj5aKqc6SUsYEy/n2/w4as37/lo s3DkXOyfqMCVAxfjVmoxd59/gLTr58Sef2X41KTDvr1eY2ZDFWy7FIj88xk0 dq2RMlwQnWWNuHfTPqTtWY6Yr0thKfUW108L8GKPMvOzYpkqo4Bdn6vF2cRr OFX6A7M9ijn9dhFXNERB09UYNX0H0br3VITpf0OvD8/RVCrHdEUjrr2mhyJd Q4TkevGPmjsXeK3C0QI90cvchhWvBeKK7Lnd6Yu48TmSkZ/JVa/82E27iLW9 1HjddZRkVhcZ7sx9CJegjR731rzH5JUvpexfj8lLo3hbfgkUKgR77ToK1RuC Z/Q/oChzCVb1C+aePQo88loGg8d7s+cZXfoPNubcJX2g+fkmjBvNJfLHNaC3 zZFWW7rx78f///f5jWRW6GB205jI998zuVHqB5N0FovyWR2hs7Yna266oPfY DQjvFM7KnmM4ISOT7cdduAbZXN3RF5muMpTrGMe8OhXxp03q6Q834ul/0Uga GCVUbE0Ymj8TfKFK21Bl7pZyUMz7lajeKvjD8CnyWwu41uAYNJN2Caz6in4z 22GU8RnXdl/EzbRJomHqXxhN1OODLq6oDVDgw3s9aSfZgPOqIXwUmcnklt8o m7xJknrPmVqvCulmocDLJ4dibclTTJfqZP4lBQbPSqUFtyD45S38XhJHU4UT eCEzkr+C2nGxUpqhjadhl57NA3NduKhZF6uGjcLvLxMZMUibf6564Ny/sXwg 9X7Xj09xq2u5mJq8U3y/4MFXt0+ibksR2+93oGnjT/S+0gSlB0lsaXfk+xXp jJRkMz7bk8dclHBqiQm7TDDmIh1POg8cgVsGIUi7eAQ1K21YWJAM/Y8TxMo7 PbnA95BQHqDJoiQFWho78P7+GJ7eY8/gjtvxynwsewV2Z4uZOrd4hDBdwwxb lOI5aJUB47Z9gOX0uRgo2Y1C/Wu4nL1K0iVtII7Vt8Hf/DumFayBnn8Tdmy+ gw0WA2C4LZfqdnY43JrKH/UDGd/HjuPmX8S+4p6Mf2sr1p6xYSJe4rh9G07L KXHm7QGSeT/nQanBj+/tZThOuyvuTZ9I3alSvexzZ+wUdy46tQZJmwZS5/4W 8WXYcozdmsXnP9ZLHik8xPOg+2isWw7lP+6MWxkrzHf248PXxZww8zTWK3/F NI1+NOmTy8O6peh8O5QrPn7Fd20NeMy9JkJklFF3sw/tph2F3ZKXSN4AjorW 5aiiS+jyLIQmV115bZBUAx/tedGrFQ6+g7i9MQJOc/w5vLKQDl+tOUrpiFDb dg+SJi9c9XyGl6edPN7sB62njKLRg3RS1ou3Oz6U9ExQpMcddzqsMUWNlOOU HmUy7sdxxPZX56HQFA5pmorfFntwfoQTMK0jnsvuRdziOnjNmoWZ1dNF4uBE VvtqcucJOc5824ffsl6hRCUUcq9Oi4pvfZklW4fK76Pp45EF67qPSCh1YZH3 IVxMrUFViCuN7/WCZdffCN4TysHD3yJNUardtl2SjQ07YWs+jqHhKTCTdoMN 3SLo3H4B98an4cABBZ7Lt8T6JCuupzbH+A/CiJVebCksx1ndSKZu16N9xU48 08zHY7MXaIy4I5nUdbTQqKxDwbR8HHNrR+HDXbhxpJfIuqyLtHRdyDU4MbnV jwe/3Ma+rZtEbXyWOG+VyZIaa0QaJYlAMQsf7i7E72Yfvj2kz9ZbTTiSnslD jRpovJhNrxtGLPqdx3EWq5H5xwbpE2YJnwc2PP10B/5VNovczlcRVnIO1n9e oNx5PmZ0745NW9KQN3ElaqW8ccNzKyw3bcAX0QrblYW4U9uPG1/6cZrMLfRa rs4uFsFo+RnK3Nb3uLJti+Twv1ZxINedT8JHU940WVTuWoq7qhc8vJ/l4tiM ADhMW4bUTzeg3xIssXhmxE1tJQiaVyvKdoD7xwai6kwGE4YHsmG+nmj13INN pfG4nLtRaN7ypqpSIhbvLMbvxEp0ktSI81HBnFhpxaNebeK5eijNX+4V4a9s +PRSBb4phPDqCjvm/bPmtoQt4rveBCxd4cCCS7GUGHSGim2pez8TI/b5M4r1 45d5jIgr4K6xxjRer0NlFeDvrz2SyMiJrFg+HdGR36R7rhQyc0252f8Dtm2S MHH4eKabjOYL/UMIMijmEfM4nn/mR1/3RKj89KTPMV3+9lCh/XcN6gzoREPL bMx2c/HwedyCEZsNeXHhWsTV96Sc9LpwqgHTglI57W4Neg4KorB34NxH5myv LobCo29iSMICqO/zZeWrs9g5eRymDDBgzofxXLg6D8YWiRjY15jHu4IygfH8 eaYjs68ns365AxfOnyKaTZ05vHkQx2Zsw6hmB+wr8GagegrfvNDm0CYvru78 U3rPZO7ubiM2rIzkhJBB7HYWXDi4WkySRPNbyhO4GSVSlr884spt6F/VhTpx rnyucBkzTX+i04Ra7F4h5eyOBuxSuBKD2tvxcZw2DNytxNMEP2YtPIdRF1T4 63pvjMntxhOTLqDj2duY0TGMq3S6ccONYx7vJoZ6yKkPp9+8ORh5MpfXE5KY ZmaGA9p5NLjqBqMAT04duxdh019B8dYcZOl9g7pGJmfMKcKL0i0YtlOGR4Z3 pq/dbMRmzMGRC+bU7qTArEv1uMUDeBlWwMn/kqgw4yja05UZefYSrv0N5bRF 7uwZY0TXroHsZ7oQsc/fSvS17PhuXBDklUP5d+VrpN0qxw3PCFbm6FNSIkvv tT3RW3ce9DYGsdAxi6Xye7HMqSNzdNvxsO9WaAbhfxycd1jN7//HFaWppb2n Stq7c7+e7b1LQ2lqL2moqGwyImSvJNmUkMSnCEVSdlkRiuxVhH7n+7vO3/e5 rvt9Xvfz+Xhc7+vcqK1JI82T0kg0sMDskXwY3ynA9iSGKUXPWTq3l0LvKkFl TjsdXRSArp4TZCyeQ4v+5ePSOWtm99kL62JycWavI2tqOkmz8h3p1FAEZvPn YILdNbLldmvShB9UJiAEs/y75P4yCliZj34jFbztj8WuoR/UlCEHvox0+PPW cIYT/qNFiefoxt9rlJKlB3tVfWzJ7aMJYvzY/jeS3fAqRZKlCvv+VghzjkWi d24R3Y3dTPPUImhE3BlF/u+oV3820th88K4NQPn3ceLti8FZz6N0ZKkVTlcY Yf2sa5wSie+0518FO/1hBbsT2suKpvNj4w5DBNb4QXq9Ooz7dlPHqZlUGcrl XS5njrZvoL+XZtpMmOSB64XB0GoJxYkXv9gV/ad0IIof2ltscPS8PSY7TsSG FiMqzk/EVn9dpjo0xHpOBiBY6zTrKBWA72A0veCbjISsa+zppJdEe2VJWfoV Td9VS1OfHKc7ItVsbcczZrjXF6NnSul9XzICl/rBaUcdVZopYPG2TJyTS4JR mSucPiRiaKcJTKo+UteIFDKd0qBb95s+7JTBmhQeiG3q4fAnuWP9fRFoHp2P 2idBXAZXha+uHqbfmQp9DveclatjSVEWmHgarQ86To86t5PppTLyWRFEltUl uO9iS0XnNtHktYK4+r6N0uXaWG/9NXIaSofNvt/sRrg+3C8m4aPyD5or9YCW OtjD64wR7mvywGdVAu3+Nxmfc5Uhe/Ak3RQwxrvQZNYeZYjHzpGYuCCT27FP aNre/0g03pZWLH9NoeXycDv5nTY0SlC6yVkaN8vE+LpNtP3ZGEd8fROlfdtM nkPGRN3K2LtjmNUIHGN7FIsQd22AdB/Nxu6ATs6043IQcUmEdP1nVu49B/L9 Krh1Y4Q1tdhhqG6EUtebo+aLB0zaY1EzFscmv4pG8iZJVFxhEODOxWUuR7kP yWHwezkrU5HC8gP26EYdaX+RgcN2cxJUVcNmeSXs0GujGufP7MLnD5Q7loVJ TyMwLJyBNoMm0vx0n2JOCqHruAJ62mWwinHPnMcN0ldRg4CaJuq0teCyPwQ3 0oGhVVoYrS6iHysZxH7foFk6IZxT/4lz80IOMs7+4Nwswpw9bSSRZo/2VE/0 7NDHZZNPnNhlO1lY3UW2OYYHTgoXyShwIXYuOs3R1IuktoJemmFgSZ9lH9Dz kiTwP7zLGf9UhIE/C/BSLB0GvNnwGnzD1pfykYBxJpt8cyfFD12m+1Ov022n R+TFx4v4bAmKO6iLtwdiwVdkTe9/1NFFje/EBM3wbE8kfjFbcsryxOkGeVa5 MRxDS4PofYoeRmo72EwnhhiefHTmr6apXj9p/uIg3K8yoCOXn9OBXilyiifs NUjAm84Y0on9Q6uLkun4uRfU1nOL8VU/JXPt3ZTIs5kSFUSQaqGCiSYxOLc2 Bo9X5EPijwM5rLpD7uPKuFEQicELl2lOuQFNfPuPeLicKpgvh9Y4V7hVKUDv ghN8GlewqosyuJUqhC+JMzGjPQPZq17QqMImCpEa4EAiGdlKf1mtxF7i3D1O t+/Ng+RhZRjukGMScSGsWu8F6VzWo/ZzRZRgtJZwaJjGG4Ip8/YJwscSdK1X RavnBnLzlKanRTHkw4jNM6mhtvOTyPaLG+vXiWPaToEwNVdFcXgq3K410IBo PUWcCENQoSDGS9JJbUIM+1i4jC5unYwXO0+xj3IrqYMDNL45SpOKv3M+GN0j CY4UmQX6o+NFFuQF5pE34+ZJ0muKyj7D+Mb2UcCka3a6tfJsyPgInWv6TKZh DrjgFo9h3Qh4iZwhvzvBtHyeOhbYHKSdDv402/sx9SX6YNX5jaT9QxL75/JA d4M1apK2UNQsgu3qBKg51bJn3PNw8vMM7NaPQdlwD+f6wXAs/f6L/EzPcWZV imHGkiQ2pTQHBj1nmX26Iiv8dZcVc7O3Q2OMs2aFDB4d4Ga6w3xs/NHIjKzm kOfnDG5OSeBOz1u6rmuLAbV35GzlgY5tRRj3nQBJgTmorHIglalJuDBsjpNb w6kuayc5bRhivc+2M5633N7HfWr6Oszsq2/Q7ZUicC1zxhXTFcRZo04P1QXB 2zMDsp7qsK2djOc3R1lT/iDdfhCBHff2kmt/HrWHmeNeqjeuuu2iSud5bEH8 bbJ8eYEGJ0himkgAjnLKaM315QzaJrhofo5ajYCDnSbkPM0M+eoPqGhEFsYr 52ObTDqeF1vCfw84C7//oJ7xr5yeM6o4oeOH/J5+gtlk9PEuo9tX5yLX8yJZ ZIhiaspcHJ+QjZ1bq1nGu6t0+ewwdbxTQYNgF00a9IE6vFG18ytV6x8m2347 +PrIobHeCZDPwoKfE7Bcss1WnnKoSL6fpEpFmS7nDAna+2MgNJiM3GbDes9G apnCS5Ev1lBG4x4SvKZCqs1rWWvcY0r298clbmaF+2dQ+PNJ2MvsyGx+DQsU mYm42ZsoTfs2WSlr4MhQKF3TjyM7/0nQy1+I+2nm0Lf0pu5limjVdkRtnjeW MQHyj9FhTk4OWBxfhMHm1Ryd62mYevwfnf0vAl/9+PGmJQ59s0zw/F0xdOx8 IVQLRAdm41SSHx7/DYTicTOM8pnCfq4PDnjq0e92MwzLtNGHb2H0KKKBzM6X kPiPM5R7twTPeuSgH55C+w8e5xwtnYVpw09Zcbohvjzh/hatWZCMS8NYYjJ2 bkqgzPPCMHctRu0UY/y1vk/25zMxcnQBylNk4f1pG0m9j4a4XAzqFvii4osU 1vIlo8crHGrX3UheNYo+6JWRg54ejK/YY8lLATSUTGIah07T/JABkg2+R1Hr 3ZHSm8Bhd1VgZzwdhuP50A0yo0NhkhjbcpzVfspFvtMgncoMxaZzM8jOIRpL xsQReCUCS955YdXs36yzPA3NCZdo7FYaaibqYH9TMA2P8kNG2hxtIxOg/MIc Go2HqFRYC918fynO1YN+dflDm7eP9ucHI0vsHWs+moxo+GJw43a68vAjvSoM whRzL7jv2s4OfREiDevftCPyJqc6zx8/OmdALqyMM/eiFoION9Dvf3rY2VhH PPZcH5QuJj+vzbTz2002MNpMzX9u0mzBLNSUi+GClSXNcZtL1765gXfmC1pX 5gWF6YsYlZQyOyEj+HKSWc+QERRzL9L+6ECKHJFB6fvHdkzNATqtY7TSOBTb Ty6ixWm7aD7Xs9nK03T62GmmoyKK8qWSeJplTbOyV7MwAVN64TdGL10/U3eo Hh589aG3re7UpiADqcmKdDJOAx5P1xLP42scV8GfzPXMdlK30sMuY0OUn5lJ rW/jsErzOKvpaqc1M07RRUcrbFQaoKuB0tij+IFt5vbi2NqPtMBgIi4bSiHx WAHELa9QatE6dl2YQ5+k5mDzrWI6pu6ELcsCsIrrorPLpuKysRgGvzjT3fFO VnNBG278/1Ho+3vkZFjAhI97Uy//M3oQPYsmC5VgX/4MyCSM0Fp+ZYhp5aG4 6x/dNP9AQ5FFWHpWC1ZcV4lI4VCTpj16CooR9aMQjrF3qXfddTr1pZ8piryh zx8iYZNhATmtUVLzl8LKNg3svjjIRssaWY6rF2RU3eDHeU1/+Avxc2Q+Kb0x h032FKx7movRsl209EwOHN67I22dOtLnqEKvMg7zfmhQ2zQHQlU4tl56QeLT e2jOSVvs07TEwNEgqIzvZ8kfr1NXgx3i3HhxXriGVuSPUPnsfMjkFKLWY5jz fY8EBmrEUTWykw3/77+TjgHQ+e4MryPKmFjiR3/kIqEpk4ObD73g90Qc/3X4 QEYLOOURj88F0zD6WB2XD1nR7DFtlE7jsmctD95u46H/JEOwOYthKCsVWnVv SWfjaaqadYqltlcxZdFNdPb4fHhu5HLgtiQk657j8F5bQusizdhVhQIEnorH 1gQHqFvoYqrSKXrz9gIZxiqxx4Vv6de0sxS5qJP4R3ax4G9l9O2ZNhZb76Wa e2FoejsJ+3eW0fDJkxTvnQ2nRC4bSO2l1ZuqyaV7Bg6vDaAt521Qr5WAKQWe KM7IoQlR3D2Fh6CqI4GaHHsotvs8zYtMgLCHOL2ffJ6MC/LIJNoVNN8Sz5e3 sMqwBnJU98S96hA8cxSG69VBanN+SZcMN3DyUnxIKbyOLHV0yaltCpelQ7Ho 0xAdieug8zGBuPjhf+8JRkmqKhVrIi1wSk2K/i74Qk618rD3t4SYvgxpnPCG 0rATruVpYsW5O9R8kBeJ/c5oW6YL/qoztPTmfBhG8mHatekQUG9g1yR46U2i HGUv/kSr60pxUnAdaxK+TBf++SM1Opy03bVQamOEL3pWMP6ujZGt0hAwv8Uo aRrOS6XiYcp71mKghvu5Mdg+A/SvvYRSOdow+hCFcIPVTFq7j9QHO0gpaxcF lO8nV3FVytCThUntEhq9a43aDSsppqwEr+ue0AodEeg9N8benCS0Nbpih+pu 6o6LgapyPAKzNJi1cjrsK9zo4S1PCv4chOS0SahsWYgfXbG0f4Ea9tk5s9V+ a+jbEW/C61io9BagRcwO/yoysVpeFE67zzA3hwlk4SoH+88uuCUKOm+kBNFL P2mNZya+S33ljIrLYeTmGhJv9sfODE0YN6yhRD97pFyKglqHAHUVzYS1oC+q 1dJhNO8BG5GuIj+DaWhQY7C+dpmt4Pa48gJ/KKm2se+7l7Jl3xUQsjIQrWo1 dMvdA3kTCjD9wTUasG8i12eZKPhmgL4lWrBb688k/6uxkVwhCZWe+0xQawFb vUIf/QvHSIXLGU/vfqKS3IdkebfZriREF51RteR5PAKRyyQRs3o/q8/RQNr4 JLRs5sO3BcJ09nkdvTvylTNlNT8WZVvCY3k923TuHmWuW8sM700lJb9ZJHhp DoS/q5PKhem4I+HM6OIRVtuggAevE1iDGR++mG9iRbc8sTPxCGW7mODX3K8U N1BE4Xv30y1uL2zfaIMFu6Sx86AjvHY/JclcRSx6E4IR/T4yLFTB1C+/aPep QBgYTYb9c3taphBH3U4luPe5j15L/mQ5VyzQbOmGwmkiKBmei0tNZRQ9Ph+X i5pJge8Nde5uponKchgrOcapPpwMo4FkbNR/QdsuzKC9HkJo61zKFgkep5B9 vDgzwxdtsUfYhbPnObHPi6m5rJJcDr+joS0fKOWhN15N3EA314lCtn8PJc1e iEX3ecg5fy9tgg9mxb2n4KFw1Ec8Z89uzkPRwoOk2ytCgf467FyXAFZXB8Lv 4zHa79BAZzfrYnC5KC2XTINCbBCqDgSTPD8v0xY3R6rDB+p5YoLy0UKUz1EH p/YYS+P5j3TMNlGCkxLWv3NmtXGZdKFNH/9Uw/GkygMZibXkrXuVNghOwk8t W6yzfE5K+42xqU8fX1q84XMwhC7uDSXh2gUY1n9Hp9K+sjPGgaS4mherwzPh ujsMhQuPkl26InqGp4FP1QQPWDwSQ0ugkOYOvisHKMhWC74yq6h5IAw/pXIg mySEsAjgsdNChP16zW7N+0rPLeZjyfkU5BlmQPuwGrQ2PWNadZIQ/U+aXmpI Mb/kqRQhrYofBvr4sCmOY6hTQeXnrpKBmBI0Sr7QsjPnmKtQHvguOtHZ5Lk0 PfcV3RdXJ7E7DvSz0xXNh2Yib0ss/FuryakyEne+OmN9hwA6cI8EY3SxzmE6 cnZY0Ok907Ci/yL75CtGmpxn5FXwg4rzC2E0rIpc4cO0/sNc2nm9hX3+qYJr mYFomWaBiUPZlHtEl802doNJ70Y6kMEHvupgausOwA0+axR7iyHngx/+1MnS ubHJ2Jb/hlK+R8OzUBciQ4OcjuhIjKrcZe9XiEBl6TQcS8jCh0W5EH2VQpVG kbirXIw9qdYsI/o3dXmV0ozRpWTV64U9DtYwSj1K1ptUEH81AAue6UBbqoI9 4emmvQfl4Dv4nPLDglFm+oyt9VpIVj9bWKa1P2bOWkxVu80w52oG9WWXQuXS e1qVKYEtTwSo1c8FfJIb6PZSd2zTnYypF6Jg/k0Bl6PdEVxRCi87YXxYP0ZC 9oowOb2eLerdzOw8P9JzOy479J2hqYpHaeRbCbm3eJLgThvIF++g+M0axDcu jxkjdRS3cZSeXXvFmbfNE2ydOXvsbQU8isWBZyYQ1tXF57lhNLK8i2MjKU2N AepUJCEL3cpqtvBOKaYqzMPmY9IYfSuDRfHBmP4mHCe1w8lkKAm7rszBicN3 qFPHFDN1jUjltgq0xKsoK1sby6onQTL2EWX5LsT3gRLE8nrhrbIZejYEoTBB F6Gzw2FwVpA7/9epRS8AZtnp6Lg1Czsbiun3yt8kssgAf19dp7F1r0j/RhF+ nkqm7Lc20BIeYhqNgmzG4kz85uXyPP9eFvpen3Z6jNp5Dutj66oIqLvFIenm cqb33B5vP29jA6LrKeG2N6SOySMrfA0FJA+znqO7acjMClf6T1PZPwvqDW+l 0BxpujSqRNEevNx9uSJkXB0vvouiUPkN6zbJwq2g+RDf00FvnqwlgeFTFLgg FVeE5SHnN51Ws2yYnjXHNkMbrHa9yeYrKMD9UBSVXzrHORDRTNnbVpFXRTD8 /TaT0sYx5pvOZbG2bnI/UADXcmckxvhSsvlW8tJewf48PEOyJ2NI4ZYW7Uya jl/nFXAR4VyOysMmBxGKmTRMrXeE6GiVMIlcAfIOfiPPG+l4YpuLFfuWkdmB 2SjJsuDOoRKSvJZQ0KlUiBnbw8+hnm2uv0cBLRNwL2GACoTkUflpKzPx7yOV xuV2Bb/kEP3JCTXblfB46QbKd+eu272RaZtVUFR5DKIjdaG9sxjuYj8p504+ Pl7hoFIkk1xOrONsV5sF7YtPKNr3KJtYP0rKJgtgufkROekU0NO6a2SzL5OS dnZRcPxa9ifcDVS7mNqm8kPRLRtWu12h8auCkyYxwhpn2bJHdcp0dXs8ilZL guVFImLuBJjGKNOblkPsVt1yOv4lHit745BdPQO/Ks3I0KabTlY94SyXnwZE ScNtpTlUhGro0FtzuqUah6nLZPEtaDsV8Gkg/5U+CvLzIaqYT+01Cqi19sOF ez4ErdX0L6gAJys6qVbpChmflED75Uv0X2M2XZjgy4QGv9KCkW10n+vXLd7r 2FhOIo6l+kOlNQGvHNKxrl4KYackUcZ1KItLWchV4EEUjyi+bW6hTesucBLW vmVdRhZwvPeK3U4TwKfd2yif23VXJe3oRtYU8CmoQXiXLlrOZLF3MvwUO+UY NW0ZpI1TJ2PHvBRM18zAA/98aFlF4Ia4AByjpXGtXgnB06+ygbZGdtdrAeYe FINkiSbyFKwRvbOWOtlaSmiOQcy0fvIccKbOHF+S3PaC8650PUVesMYn1Yek M5yIN1G/ScVSnWVkRGJ5mTV6vjlCsL+a5j2RguMWM7rZZonU7JloeuWKyRPX kUBODGUvS8V2/3G2AgdJx9kdQst2EM0Sw+PtgfTCNwHujoWQmaFFfFNEkGaf B/9/p2hKuSd+vPDAAxURZEVJYJ/9Vvo08h+FWFuiQ1kf4dzvj97ojYQpjjTw nYdeGPjDoF+PIv7w4qhQIjIenKRdAWYoeD2J5lTwUIOHDiQ2CyG0vpwuDS2g AusDtLXiCXM6qIjpX7Xg4/KAzJaqoFo2iX3icv9LY3my3NhAS2oXwmaVN/0Y sGSPkqpoucxCvC98zT5NZ2S8JxL1De9pwedcpM0fZtq6ZkhM0sO5HmvwyKji zfMROvlGB6f7S1E+uZnJfPzKyQj8TEK7StChUkkHVqvD2kgR9vo3WfS6XNQ2 8SL1pD+Jrt1Djv8E8HqOCFKTFuDP6bT/vwdn2okBNrvdncVVVtMDJxGct1jM +qVVsPXeR3IXccapFfbQfBWO8TcuOPdrKnla8eKDtAld+uuFGv75bGajNsqz 4qlIPQeOrr/Y5kUT8X6GMiRmCtB+q3F26LAv5ruXgpnGYuIlDQqPmYAhDwVE 3j3BUTDXo0NfYrFX3xfhCzSwVJYPp8z/UD194XJrICW2rKTlR4upO+cFTY+e BsmZf7gs2Eft651xZP4Xar0BCvzfnag1i1m2pjndnb+SfFZNp0s3CtgS6TRK WFyElIkyGBdNh4s4mPipfCzqVof56TYSrqugowoDdDz1D5VO+knnzLMR8TIZ n5Jb6dEfBxxIK8Tk+7xwjz9PzsSdj6cLWdg+B6waPEvzteoooUSfHDrkcPls O2fp3oUw+OSDLpG7NLWmmLlsyYR7jwkammTR3KmM34Z8iPgSB0flc2zHOwkE WO5ltwvPUNeRTko9Mso58yoFvVkB0MrkUKvQWbIXmAQn3+lIluPj9Mtz/c5K HPu53GIgJ4jjlrYspdgILreWkb77Z1L8vo35PwtjTVWipNQWQPYXktCnqAS3 w3GwvuwNfZHTrPyaK/FmmKD4yjUK7oyBR18dLdipjv6q1Syx3QgBDXV0arkP ThY85zzgnYwnB7LwIjoBIg+L0XsxFOo2sZg0PEYBF+bgZ/ld9jJfDHH3JHFO 4D2VXTRD7OQL5N3ri5iKUrY1P5S870fhhepOelyQw82ir2SuLQljp6Vkc24D azwahqELV2jPgWBOf5sVtAKnwn7mX1otIIlrl1UgFL+ZvkZ8JNo6SgYJZyh1 hyCqdWvYSF4wR35fNwWUmOHKuQCsmS8PTbsYmM60QaLDCrI7pINVXk70c8Mb 2hgZT27XJTGn9C21KS9h7QcvcdztShH/dwamrC/F0FZjfP0oiAUey8imUBZ/ TIwg12sGQ6VZHJHOyXh5naGhyBnfbefiuGAifNS+shjZv1Q9OIvScitZ6M9O krhuQyWq3D5VrqIbNMwMv15lyw695PRdj8PKYw10zTsPca7zYHTrNesVCGZn 09RQEvSTZeZ74Lz0NooStGTxHC0Ua/5mIkUxZJQ9GzaJ/oj5qkIThetoY1ce PuSLIsXMlCoHYzH2wJ/zuncVrbt0kzYkuEBt3gd6MKecPnjGY8WxFNrH30xj l/Xw6FM+dWf8oNH6IEgld9AThwDstminveva6E1qFK2fVUOypctoQncdWzaW gqueG2l8P5Ffoz6Snxfhs2kQpkmdYpYbZsGoYwoeP39KGfnqSMmKQ26WNzWq H6UUUT+4ClTRkUgOoq9OgrbBAH3hbWS/yw9Qgqcd/macpYVv1ZF805LER/Pw TO44zVnmwpnqxk+V7sNMXyYOc/j/kE6rJvgbU2jLMEPAcBaSS+NwMnYXee9t Ztu4zLF721Q4fZ6CXUpqqHuQg+AbSyiZ5zDJhsTgd9QaSvsUhztFQRDou8RJ kVBHwdEO4v2ZDRWL7VQ815y+reeFects8rrQwUrzpWDgzI8V5IJ3R9Jp+ZRM injVTo96LPBexBbeS1WpuSAToscXwNNoD/lKHKcNHfeo3zSYNV6tIJmJL6ik p5Ud6gzEkr0bqGpHLf1tSWR13E/yMwvboy5PaXK1Ni1p8aIuCx3UNHjhp78c amgfp+bASfqct4J8ZX1offIxjj2Z4OSSqZjykQfeI885mxYVgWfVfGxe94i+ 3p5Hw9s76FTDXHRmKdPa6FymEyDFfj1qoFWjsbS9VZ1lJcZAyu8fLVv8noaU ZdHtfprEIrywcsFkpO+1xgSp61R9XQAiYxow/plCSfdckHukip6UHKOlNpUU YfSC6Sc85ES/Pk1nTihAdHcGkvV0YH96B6ucIoTkocfUftQC6oWKnA33XKnp pA5y1hhhYqoVPAa5XZCiBfs14tB0EcYL730UPJAB01v5FF9oi2S7SGTlr2Vd YqYU2KxOj7ve0Lo0XhSGZ6D80yg9FBFGT0Q4Pfx1lVRDrcC76BWtn6eCR7uj MX2TFgwsnbFzYimurw9nkrHhCDz9mBZHbaecqgfkyeWAVd6bqXtoLQ08tCBq 4jJ7vRg7rBQLmx2rmCaPLD3JMUSfnDh2pb+lIf4AzNezwaa61+SmZQeFq8P0 oU2HAkY7yNL1IN3vnw1FHkfb0cFg1u9nA5Ed+8mn+jZt0JGHe4ER6uNssMsk GRZK4mhU5SBqPBChHYupf74K/trwwWneUnLvsUJ8aCWphk2i2XZn6MvgB1oh 5YH+FktE1Sji1OpQzFRtIiG+f8R/WgndT5Xoe+8g+b9Mw889QlCf8Zxj50ss 4NcTEiv+wbE/Z4O8WgtMMOEnB9eZiDyii9oAIRwTVIKDeTytfSmNiKokWK+8 QCEjy+g5nzb+DXSwpLFEMM3ZiDbUx8KltnjZwItr2/eSRYgzejK6yUF2KjZm PmZyvd4wStamEt050HdRxuigNH0Wl4dBpSYSO8JouMgCw19F6PdXKcjv8qH+ 2FGK+MRwb3gyHfSYgHVbU0laMZDm9fFQ4EVH/BD5j/M+Kgx7x6LBd/0U3Tym RHGvZuLXy25Kf70AkdVnaW+nKjZJTMMHz0DYzG1glyWU8WvmCdq++RDVPcqE b85UWDUNMguvbBx+6Q257JusPKOKLk04TTx7ZLCOp5Z26EyCTnETUzZvZRO2 7iUTRX5auVEMy9oLSK1HDGpNgRQpB8g4LqNQyzXUuVocf7r8MRBfxviEjcky TABfVZdQx+N+OvRTBj90J5EC14FuvXNAyKsmUqxJxcakSjIWiqfqqw+pZtAJ UYk99GHMmDTEOdBPukmNRxspyyAQPf/4SFJqlI3GzeY6wGSOed4dqh9cSbo5 3XS7dRktkulmQvel8dJCkDomONO0pfq04+9CktpfQRudbWnWcVUEiF5nu1r1 YPTdza4/XB7MMAAiOumUMZ6LvrIvtgelXdm+FVYwyCtGt+JlKl/ri6unsvF7 QjJ2eyuyvP1POHEmevBcIMKeTJyA8I0LcOKKCF6bZGL2byk6dScP2Q7Paf7F ObiEQtwfcsJ5ueV0UKGFvHhNcafBAs0NSZDTl4F+/WaObcQn+vhBhzy+piBr hQ6e/zxI22fIUs3uAqqJriLJV6W49dMMccOzMOOdKbZ7u1FARSSMn2sy2Zfn yPLDPvoXYYyCfQdp0dkhSusWx1O6ynItOkmnbAayEpQgdC8Gv/w6mbu5Mc7/ MaLtT/rJaiHgU6uKuu99ds9a+plrdCddCAQ+2vDTTGcB7Lsylx4briDTszPJ OTwMRhqP2BfOF3JSWUP183hQLGBBtnUfqF3kEVM/UsPWf8km3bl6bGnEEhL7 10MrqxWxwWkSFg0+olVZP8htgRrt/5aLiG4DuOS9IXFbIVx/XUa3HK0gEN9H G0MAVdc/7N3AEjqSeoRMH+ihuqyIXBP76fb+STDpngY3uzjseKxNPKb5+OPx hLGtfjCMfU0rHgvg3HASXsgfpMKfs5HiE0lnkrSgIyqDGI4FJq7moba6RdTe GErll/toHbebT9+cSgvnbaEjMakw1phK23VfsD+SS0j3kixmRo7R+HYPvCrI xndHf8o7dYbO7HRg6ds1MEM4hcKnT8Bmpxeke+Qu5Sysp+j5/KhfvILl5PlT /TY7PK8URdQOe7g2TsEj9WLMsLtN+Xu30RwfTXJebYG7F1PwIH8/bZ1awp1v MUzPyUPYVTE8G7pBymaBeBQ/SBWrPGjnR3PcffONjBWj8NlbHC67tchBZC5G /9vN+Tm3k11cpwbRI3y0SHMpO8rd78AGeRzIOE05Y1ymGLahjmNzkLrRF3+/ rKFfgatIJ6aCiQi9olt9LbSsRA4aeyvp+pXn1PxTHjfmy8Jn9lykMi9mMahO Wq+77JRO62A4fSqUQ3qpNsgUUnp72J2Vjmyvd4Cd8K4wTNtui/aP/Fh2bjv7 NFEaP8yFkH7TC01F1+l86V/y4D7nF2HhKM2IxfP6TOx6OREty2wxudUApgff MfHmQNIM+EBbXllBOOgHZzDDgd68/0Yb9gmjyjGb0v11KGTOKIU9SadvGSBp qxCcPVFDPGGV9NUuHBtaHRA/QQgV0u/YiYun6N11Mbr2eRZilEzR5ieDiqtX md8LJ5xaf5/ZNjxiG4/wc1LEM7CmbB+Xzeej8KANzA9nIa7rLa101SROtA7H 37KBlga4gv/ANao4u5NNyZWC0aIkFvfmEqkYLaGxpqN02vs8rbsjiOlRWqhz lsfpS+foB0mAb78TOV6fSyw+ELllIjg8swhTr2ojx1IC9lPc8WHbN3K16Cbr b99JuEyZjH6m0fRKeVLboIvEk2as1toL0RxdOIeLQUA4iErHeWBnv4UCIm6S 7EwrGIUM0gl6xurW69KEK7pw+eVMjlc8qdPoLPmneSEz4B2Nj1sjcnA1i9e0 Qv6FVrpydyq+eeUgsyOY6ptvknxNFW3N40O5gQutf5rO8bH6zhbtusFsA43x yCEQ6n9L0SB2hP5VrKX4rlX0KD4AC001yeDmO8p8uoqj8UIcE/hiEfNPHtlZ ZeTRL4m6d71s2pL7zNJBBsNHI3Be5hMVvFpDj+U10Nv2mhS42RAVa4Y7vAto ZJUC3vV64Fq0NErWc7lj/Ry6ZhKL5bXRtOKYLE5XNlLbNF54v1OH8z8naHaI oP/OalphoEirYr0xRTka7S3S7KKYI2xfzobbIxucuq7K1j5vpJ8dv5iV/BMy 5Dq60bt/ZF4uCpEHkxEUZId9mrxQ9QjB1uwYVDQGYHmXF3WmXqbwoBK0lqqi fXkiPu1JpGUaGXT7vjKaf72mS5b+eHjZFu8tlKF7Voted96hn1yPfF7QYGty 9QGlzRimVlshph3Aj0ZXZ+QHf6T+pXKU2a+JAnFRlpk9Thpyt9mrrY4Y2hxE KVyWMp4viguWnvRqzVImZWSNpvbFNN6thpkqkXC2tsa1IH4yCFpCSUe32D3P dMCDhWvJSVUHIzbq2GZqQiy1iLZMcYF2mivB7yB9/PSULl/9zh62i9Kr9+bw +dfMZr5rpBczT7NAXS9ymDAH5YW8uKAtg/9mCOJwdSA0r3NzCl5kdMcc5k/M 4VSvS/NbdSgsKAEnmuoo0i6MPlZPh7FpPu1pnkDshweqA7Rxe70hpl9cxGbr BdMMfgcs0hDAgXIjHBq7TpIfo6DkpsO6Hz+mIPVxeu/sgmCRYIz995ym312I H1oxsB4pRqI4P7K8zNB18ADtOixIlb+nIvGmGDac5INFeQgOaBM9P7aEUoPl 0HV2H21ptoN/kyGC2/jY56PbaJfXZzo3eyq5fX9KsRX8NHeCGPY8McWuqMVU yDGFg/o7jn6uJAoWrScPiTpyPH6FGs0scD/bHPy2v1lKQgTrdLGDj9kq2nw2 BrffCNK5w+qQiHPiRIrEQCRuKnpbYnFxayleG71ljoenYWN9Cgoeccha9SBd hDp6NdJhPOkyDadzIONvRfoZEfglGoN9n41p/7FMtGxxxudAYUqZsYgW26hA RN8WoQp50D/USNkyEeRr4Qi5QwMkcnCIjv0XB8FBW5QM8FJ1kyj2tMnhJ28B vu0uxUWRQpwXzIaT8FxUVPrhQMBtWuQ4De2XZuJn+kys4jnOmdDzjr7WzMKJ oTIqt81C0sliCCmVYNnvSCy+pAPn2Fk07w1wblEXe+yhh+GOLHxuDkN2mRSG +30p/uQvNuVeOjweP6IWTWlUnb3LUkfSKe+iA6IubSX/e554IuxCfOanaMu6 LPavTRaK0c0cTmomqs9PYzXKfjgYPhunGo+T6iMDsDs/aF6JFb7UMfB/FoJh eTBui8wHvfrAMfMoRKZiAuS70iF54xNdXnuBI73VAzlhRyn4pRIsD1TRDy4j nH7+mnO62gQPdylhxj9dfO9tpMLqElb2xgrWazJojYER7p8VoKGEGGiU5EHq oQ3nTyKhy/s+c/3bRHvKz5HO4s20LbmP5pc101+hPEppfEPpufFQLrbFQOh8 XPdppMAiXdI3PE02eRX08dBrcr4SjPK5/ugJc6RgL14Ex40xa8ul9CqqGIEv ZJHF5beAJb4IlRonD5tZzGGFKka+5ODebj3slL5DC3MbaKXNGHXv2ke9rBj3 VUqh7RyE2v/dXalxiimtLsHIhQUw9g2hrSIdVDziTrzDSmSsJ4k5T3ypXkAA Y75rWFJRCBQfxcO5dCOJha6lkP4fLPVZLJePdlN8UCjd3P+Kfq3qo1gTLdqY q0i8h4tR6bmLPmyxQOb7r6RZlYAHWcLoNBTBdNscWMQC1Qrb2O7W0xR1bjNb 5LsQOu2S+CMdh3+fP1GYVAA6PtxlV1ZbQbu+ir7KqmNKcTj++xaCtBMy6LKU x6wmPfRcOsfJq35CG89NxKLeLLi4xZFYiDb+yK+kK0etyOelMvvOkYTW1nK2 17KAM/VGLHZo+ENQ0RipLqJ4apGFoZ2/6eg1frg1XWdVJpr0N3Ab03uwk7lJ vCYtTT/KKUun/RUCaJlsgDfWPDRSkIb/2q2JaUzGLNHNdnPXLac19pNgP1eL lpTMpp7LeZzds3tYllcJ6jTlELX1Ar0dzWC7cj1os1sqfZymhU2vQvBgzJ4O m85mm4YfUcnSALzr2srsS9tpy8V9NNA1hz6qbKdOyRTqFhODQlkE9l+4QTUW cQgNnIRX/Qc5D5q6aMLiEFp3Sx8hYxr0rf8vmfXbYObmtTT+SR9u0RNhUSIO pXX+6PQ6RpkXjSA2TRULfLbTj4NBJDrOwbBJHk7NaaM1Sk7YXHODbds7H8+P h0Ol8Q+tbLtOHZHDpCg4mZM8ZxctOGOHyFQ3Vqzti/YtWfiaO502zZWDb7cN bv8+Q2/t+tnan1Nw2DQcptXp8F5fSg9XuhEnSgDSHg/JvkYOuwJ1UDyWRgL6 e+mdmyXm7JFgWzm+TOqeFJR3lKBdtoOqvG7T3N2+2JDZSmE9oqjO7qY6ya10 +LYkjXfY0MM3b8lmeDsJXOfF0kZelCXIoDU1DJMKJ0JunQr6Zt2maYI3aKBq N2eobSHe1jJcn54PDzcTuOq8olExEahcbib/0SWUUhEF84Nb6XZ6CO6ncJ19 ghMilNMhLaGGLe8yIaKkQsdq8mnwuyp0vz+gCRMt0NbDgetIGkaiTNBoaoqQ oytIqiGWNF18sHy6HSrlvCmEvaXuPmG0xfowBeV+cpwiCI2jqrixNgfNhzVR XM2D/VtHSOxzKC4ZTsHJMQV8mcyHhIthOFTezi68motXjW5IXGWN6Kxqdnjt ZI7K8f/ov5i5dHalNqw1nfFz200W7Aia9ugT7fafgCql+zRmcItiD08gH35v ith7gARqT1JDaykWVxTB76o0jYhmsoNKU/Bk42sy83hFB8W9IT9rmLQnStGT rEPkv3QFDUdawFduPW3ydEPUsmm0d9YMcvPJgNyvBXhxXopKlsiwa/zdFFZo hxWnHLFj+iG6cigWjR+2UrBSH3ujZYVLB00QZf6Q8qs7OZMqQyF72gsfP8uh yLGSNra8oAcPz1Gl1ifS45+FrfLbWcqbCEjlK9LleT+odpM5rLvLSLRVFBvD NZA+TwCrpTPA3PiwP0QOf5dn49HeZIjFCtGDPV8Jv9zxT/E/auN1J7tTXUxI 4zJJmYVjZa89cTbJ4ohhH52tPENZ5fvYyecVNKhUSXO0PDk7bk3G7yAL9Bq8 p093LrNIwVi0RraQ2z97dC+wRq9kOtSt7LDmbzocmqxRvDQJJ564wum8Frq/ p2DxTRB/vT0szUZpWCObNTfXktGYI2Z87qXwxHQuf02lsx31NPNvJvu82hxC gfrwaDfDyv4JNK+TsdwN1vjPaIRSi1NItSsVlzaWoMNrMlJOjpORZTMLW5GE LVvD0etpjL39MtQYPhVyt4WRN1EFEiYatDVpKlsquoMZutuCr2syDk4NZtNe upL/YkM895FC8kkPeFqYI313Hm79CUWX8lJ2PMKKBXUqIkTxNdUJhLAlHdtp 310NTHRJw8871niiJgTNF3549DeAKZzlhcGu3WTc18KpSLC2+6FbS9/dX9GR Z0YkuySPNmiq4WpUASb9dmbBzIKeFbeRSZ0UnoVogGdsEWkbRtAlaTm2me8s WdVIoX53va3FJA5afv2h7EXxNKtSkJReT2IaqTxwP6iPJj0D6M8do9eBm5hS YSW1tXpxxP9Z0hrJY5yD1hfYmuQ/5NZoRyYi1qipEcV38eWsN+Uou9iuiKwe I7hoWGHTTB00i7RQXMt+8rtXCkVpGXi4TkFH1V322s0PpSpz8b5DFIqXemi0 dge5TOTBiEsRHD620ZmC9/TWWAXJqVEs99ROCg2bTDUll9jLPVFkETKHfHa7 YU+vEQy0CpHAmUs55RWsM9EaH6SMcOuKPNpPzMKTeBekNWdi3etQGizdR569 ftCq/03LeLSwXLOJ1a1NwsP5r5mRuDPd6vCEpYoWG1mfj/vaUTjFzSGFp5PQ 8X09PXd8RulNc7ClfwMNxOjilakxbV3GcOjLWmqQXE739i9AZ3Ea+POCMD0x Dy1T11PgRyO8/FFF900ngNeyAG9Xy+LMcAuN2FfR06Zv1B7Xx4SC1dH23RVa upLoVhxilW81uF7YTq+NBZG3dAIqJXOQ7HGbSR71YANG0pB4sIreTtfHvYW2 2HXtDEvJ8kdClzOu3A5n29Z3Ufy+E1RlIAnBdZkk7rGI9hhzsz59EVl+jEW0 lw7MlsXQ3FW8WKIRizKNpbRdxxYd005QebECxh07qbVkMhp+vyPhhjwU3uPF sVXryOhQJlN/OQf3qpZT2kNFPHVYyxF43U7+O3Rooc0daqrnhdJgAjLah+nx hzdM3F+K7t/VwnCSK2VmxsAyoBDjsfpkzPUoZ5lrhI5ZmN/awnHXLcaMLwIo yhfjiP50oaGl20jivxPEr/eWc2fuR7I1S0fMSxkMDWojc1ASFfnyuP0kGsc6 /9KDKZMg9nEV2yS8h5JV+6jbhh+rh+3pyDdlmF2/wI69vEiSRm/sinqn49lf hrRkWUjzVNNOfR5ML3JABO8LstqSxS41SSHuhRBdDshGwoq3VBr4gQ2m+uHG Ym5+v/Nlql28dHx2Au5YeoBjFYZAUzHy5OZ71rNWdpTpsleTk+F40gIPPy6A ZLk/KuQyIR2xjvra8rHijiS2dKjSTuElJLOWB2sqwiB0qIV653lDoDgMLXff Moe6m+y3pQNSd6VRxWlZSC3xZbEvPlEASuH/tBRbs35Sf8V+ahk0w6FD89mz wTiIBVWQwm1vCGfJ4la0MYwMw/Hy6nJyUo7HEfaTZiim4uL697TD/T0LLv5M K/WksK3GA9uf5GGKkCp0XudSmMcc2HZOhN/mX/T5ui/mnd7ArttkYsR6Le3p 6SXzmfGIVLxJM2L04ZQZCMHllZwJmaBRZQ0a9v9Fmy+5U9rRifjl8ZNWPInC /f0usK85RGOHnaF0Qg9oa2D/nnLnv+8YOWokQOujCJzkWtj3Ix1M40kj7Ss7 Q+LJGdj26SLpzlCD7OHF9FHJEzJTJuJ5oQ+3l9OwapUPd50LimSFsLWdD4VN C7h8YgfTXdrwWRaHdQe0ce5ANHxXC9C9+bqoCbJl++QXMeMICVZBbezYqjBs KjCh9W1dJGpoisXFVRQ3zZiW1Ghjw9fdTG6XGA49mIkKJzO7/rQ40jQMxqxH vNC65Ytb13wgtmSAUgRcyI3LIbYnpnP6WkXQrK6Ab1N4sNHUHLfvfKLW6zNx 9nAo6lc44UmyHuIyHRHG7ejmH2rQvR1C+vEhcN1rCKvkjeTkm4oXn6LJyvIK neB2+njdJMz800C3/hNGWZ85qS0twgVHG9CFd5QqqkUu66Nw4roMjHmksdvT CEZL2jhynDv0Z8JPMoqbhNbQIApZ5I2S0Td0/vc9mnn4DKm38MM4foStnNfP ylfJw/L8Z4qfkgCnx1qYen4qkp4cIr50I/Qv20nbZUbok3Aw2Vz/SJvzI+Fx WwYtT+2x0lwSm1+6wPNCErbd1mDznktg2YAd/cdJoAXT9fB+nwgm20VDRygR j69PxMTW+zQvhofq19TS9E21pGVZRoIRxqjJU6SXfoHYK2sM7Z4BitC9REk5 XNeRPUCfLy9ktbdyYXudh3ZIvCWciaOaCbkwnBAJvbRz5KY9mUqLJ0LaMw+K nFv04GAZ5UgxWrZynL6+S8Yc+1gEHpiGnD0bOVUR7jj45hWJ2hiisNcJJ4ve kdacbJyXU4akrjweXIvCgxQXXOOegTdai2lMRg3NOyWQvHEbRQxcpJ9T5Shm iimse9NhHRCOsJYsrN9QjIG2ZLa1aDvTHnRAWFofBXy/zP77nESv2xkMuWuf rR+gNSwch37L4Z+aHm7skqUHjzfRhwYxttX1OB29b47tktGwMndGSbAqfueJ 0uIHvrAQs8QWmyg84n3ECj1/kJlFA/swkggRETMWx3XtoR/+dPhyPq0bm4eh pikY/ByE42JdTD/GE7+tu+m31z06FysHu/P7aPWfF8T7NwGb9ubB50wlGY+1 0LQtHvirE0cCbDl9XBOImzfkob/jA4tkdti1NpXKNgfC8YE2JFdfZRpGIcxw KBevx/up/u8HyrScj4XzRdlRtTNkUvqUOjap4ZpGGRVtc0P8pMlkMZ6IboMC /EtXgeSgPnV1DlBwZAEkE7MxJpKNWw1fiMcoDhd0c9Cm5oKwy72Ew5aIqjhI IuW7bFu/8mCi0zL2zCcO39bPQegxTdSHqcLAcAanru88jVrpsaOjXPb5k4Yt ZhyaXWpF767so59VxHZrW+Byrg8KM+zRt9GE2+WqCLgih/dtqylALx2zxv3A 0/aeJMYmov6KLCrPC5HczU6asUgc197aQ9N2Mj2WDEF6RSZshrxxIG8rjXxT oKpqfgzc7eb8XuANu1wBOnGsBP7rYjA60kzbHlXSpZ9raVmiAn5px+BPfTK1 lGkhcP8myr10i34VObJ/qUtJpG8DZe8UIC9jGzpVpIa3yXG0f2AOeRWupt7I ufC9fZiOaErAL8+RRb0QgZiXLHZ3KVNpEVe8Tadhvn00RU8Wg65yDOLLhRD2 4Ca9j5lBH982sNTrIZi6SRuU5I5Zky0QKKyPneZ+dHFhA/Fd84fSo3wqmmBM i0/b4ZofkC7fQ4/fNdN/41/Z+Z9hFBo/Rh4p3RQUpwqfQ6ttVYQryd4iBDUK bsjIfU0HNA5Q3EcTcndWo+zW3TQSzdC9ooV+nTCDrPYz9jWA+1xaa+nlPBUE 9vazTI2/tFynnWIsTfBAN5JEnVxh4JsBfl4HZEdZom9fPupWc3O1opK94xXC vp86SN1WgtqpbhCWDIZ/cRGmT69jjW03OTtkY9C/vpp4Vx+ho89N8DvGBJMX xeDkGgXM3TIJ4cPOyO+qp2yuL3zcloV979yxqF4UakHK4AhJ4ftjCeh+yodi Ww7Gfm9gFfddscVdg25+/0uJmgLI4Oao2ak3bK6YN8YzlbHHShK9Os9p+rUU TBLloUBtG/TVmEL6TyZ8J+VSQeF9Cv1vKcVrZMJxYz4eLPCD7NcSdB8aJ/M1 QfD87I2AI70kvWEKfrkoIfBGM4m9tyR9zWusMtQKAhKhWFPmD4uHodDWNoN+ nR0SfZVx4YgDqUsF4SlThcjnV2SbZUTPXOPxsp9hyrpceKsoY94Qh1ZFekFc uoumoJ3klYQx+j0E9S4zYeJpiHNGXug+OhOub5/abJzymgQzk2n8lyuCcipo +YlMzGi9Q2sG/TD/hy97UeRMMb9McKN5Gk0OXIhWrRQEFSTjR/tXKnyuAaG5 s/Ey8Aw9jO5m3lxu2bMzAouDJqJI2BRaAWXsjpoBmys9Bdkr5bBbW49NOSJC pt46EPxhxxZIdNApLQnk7ZLGnlEP2vRDgfj4w+ByNxvJR+RwS4XBPlANC2oB X85akv3qyiqWhSBO6Ab1O20h38o6zpZvEUj6nYNXBorwuLKCbmxYRePuAVB9 J4deLqfqfHRDT6YplP/EIjvUF3ffBHDqw++TzyYOvnxaRRqlJpifsYIlPJoN vcUSVLhhFxnvyaYje0foiMYc8tUWJkN1Z4RmBEDEYw5Vc2fK3UANK99Y0IEw Na6DGiB1dzvNGHaAd5gf/o9D8w7H8n3/uLJCyMguISEjpYXner+jQSF7ZGYl ZY9sbe2dpK2iqURD6tPQnkraW2mX9h6/5/v7/zmO+7rP6zzP9+v1HPfJQB/u kLnsjBMBjNSW4bPriZKfc+ox364H7Vru4YWWBk1a1iI/IJjDtuRTbp0B7y/e L3Yt0aHiUyUObR3AvaoZ1EUnnphhySM7/sL7ci7+07qNFyrBbPBUoE1sZ6bp rBSR3aeLmvtrUDg9EfcaW+BQEM2Xxw+Jvd/luNCpkBcHf4Xuv+48PvM1HvSU 5X8lncScU5F4bGkjrm8aSOdendi3vAqfjFxwyKwnT3ruwcrTKmyaVCF8ZSxZ sLCIw0oT0O1FOp3eJNHfzJ/xjtOhH/xe3Dg3lvz2DOs1jsO26CXkR+jyV8hQ Pgnsyisycrh3YgRnhVYJuRQr1pX256rHS3GlQ4GURv2Yr9kbs/ZQaO48Bfmh mSgrV2BHs7cwvlOC4HGbUXd7iXPI5QIeSPBh58e78KV4NvQ3CMZdtaKMtzwT bzhKPiknSSZoebPFZyxtj96EyvYxfJi9HWMf+cAq/wsqv0WzbmUCF64YzJ4d viL4xiJMcvXjpDGnoehoQSNpzud3ymJrXAzuOn0RMuN6MsKjE3WTiMK4OozX 9+DWWT0x8OMmDJnozlcTCrirLYlaUgcoXSHNJXEUtn1ssbc8isP7nnF+F9eP Dg0KtNP2Y/CcVJ6ILXUefn0sp0s9ckeuL7+X5vJgXWc2fe/F0mYPFNj48p3b GhG9agSfFaexZVEFVi4P47WQfD60mwTN07rcld2AOUv+iebhzlw/0oV7Piaz j8MZvJx3Bmo7Cjj3TDpdbXZi9rPlKDqvIMbkx2HtjTiuPjSW1XF6nD1djztH mvDjxnbY5swX2yar0vNuJOqzV6CkhwvXutkxzCCR2/d35sPO18SJeRuFz9Wl Ym4/Uy5Y0Y8mSm6sak3mo/RsDvJ5JcZEF0mz8Cqm+V2AxZRkBh+5g+zD+ZT5 MAPTU8aw2OAVvm6eLeqWa/JPgj9XN311bpzjyuJfw/n2ymQEPvwhUpLTaZmp Ttg9QGh7NFVipMz+W5Htc0dgzahQmkbliQ8jvqBj90Kk+KjyUNl3zDoWTfVZ cazoKs8GaUbILHcUq4bFMnJXDLUfHRNty/wZPSQfs+wP44yDEtNHTcfe3jqw mRPG1Te+YvuLl/hUb8MQT3+4n9US3Z+mQabDXezpbcPeDRtEfqwPL5g+wr/G Zny4OIHfTo6nbNciHlikj9OdxrPT6zqxr3OVJGP+aGF3Uot3E7x4sJ8W5fq+ gsLVCI6JcKHb5A6YrHda6rWx6J42D03blHHMUZuGzusxKu07Kr7vR5zEmx69 ZbhQZ4HI/X4f/q9XIVfjAGIr7uFZ8TaEyI8VF2OsROmuzlKGC4XntRt4GJTB qjfS3XToCiZMy6Y4WkTZbBWG13iwZsIydGo5Lh4ZHEX/kl34viWZTt968WEf a6rpH4ei8QWYt+Ry5UpPHJPm1uviMpwzC+Y7uSfY7OtKJ4tXiDa0hIObK+P9 +vLNE2Wq2XxDYcNc5699k9mgZM8r40I5zCCGrnk7oH15ODt+VeKziyOot64D By0x4r4nIeJt6R3J9tQhUNKYKt4f68KwUzmo3+DNwht2TFxhg8W/BV7VncKe aAkH6J8WgxfVYnfBZFqVn5NYVFaJXmWjoZ5ZA/nhRdg3R5qhkxvwVl0F8/w3 IljGnfx1Cd+H+PEIkrinaTQq/6pzgoY7jfYcR58XuZQ42lPy2Bo7HlxG2U51 NqSoMdk8nu6HyiUr1vfko8HTETBEysLNmRxb8kbI2DnzU+QY/vyrh/4Vgzjj pJS/ciRsWhXJvu8suavqgMTgv0b0vzuc5add6Grcj+pvsnhLbhCnrp7M9xmu nDMyBJt8jbhJ4yfWNugzems/Hr562Pnp+PkwHOLNZzNOYnicpnSZhDB7ZAo/ ybbCMa4Yo6SO9sLUgfYV80VKv70o3erIR/cVWdh3Ka79G8KUMhnpzlOG3JDD GFIYwNqYZOmsHMSW5KVYuigQU4fFs0ffg5iVGc5Daw0Y030idY+r0VchmKHd FbnjcRitdFtx5MAkbtmkzivdPRjk6cC8WFvKGZpDc6Aj8iJyGWrTCfO11Rk3 J4Qx9akY62ZDmbF/kPVpNEZ90RRainFAc1ce2+JBYwVl2g9X5+r//e+fOZRG Cs2w/ThP/FDah1G1utxkkcLzuWSRyx/c0V+IknWBPFVQhuqoIIbPCmGt3BYY hnwXikPOQX+YCS/7/Ab7ZKNrfxUGJg5j1vYIDlGP5cjjR/DrawDnf1yAJV/n 4vvM4bQf6cXMftp85XMRlxV1uEHflmtOjBCVr09gwVpl3rgZxdMH2mAY3ZWh WUFsvzMQzqsuQf31IhjEaXFg3XAeaJyDS1iNiq9dhG7WCWF/T3AFe+D9UjVe 61aL4pyzyNy+Fs/ylKjok8I7He0Z9vsYTkaYMLr7YmFU+Qdr31tKbmY04nfr EUlscw6d9c6InlpDENNxMzZonJT4eIWLLdN2INGqB5497cz/3uYw3qAftVYM 5L2vfTlqwxCWbpqDttshdP7Tm7k6k+k0rD+m9e/IQxdWOU8d81vUzlRizW9V er37gtfdKsWaC6Y0aPdlZaiqsD6vxsmOehzqpiuu7F2KT9a1SM7sgKCiATDd +QElfpF8EN4E48EKLDV/JwY870efLipc+Vda//tWdHobg3u6ghq3VmBqUXeu qJyC2y75fNJLmtmTJvJjyVZ0P57LrsXBWF79HvvDLqFn6wd4D21z3r3+uVjQ tgfmm9/B2Dqfg6eUYqW9F+997E2Vx7PhlfsGbot2QWycgzI7Cx47rsAQqSMH dVyJitH+bM8cj247ohiFbditOoIL2nV5XcpSxYtTqLytFw+5V+OE/DnJjv/q 4RJ9B5t0zuJC8QAevOOL65+MoGniSZuu7vTT1OLgrTrU0boh2dUyhK9u2vDF lqtoWTSGG7YVcH+KEm2W9OfYjceh2d2PG8MNeY0ScSJZnjKbejE5U5fz5npw wrR9SEgYTVWHiyhcsUGMCVPm8/k2dMuLpO3HOjTlmTK22R4nbOT5UDeTLifd mRahLM3O42Kb2Xso2jnSqrmQvpttudT6IRbp/4fIe2NpbXpP7PfvxUGm4Zz9 9yjWddCA1x09bFGuxxMO5Bh7R/bTAi1jtTlFLwsDf97D/uvZtH+ZTq3JJtyp cAmtOYmQ1xtP5/4G/PM6BLfG5dHGy4COHRMxaccQXtGP4Evzv/BrlMd22R4M UFaUxK4JpKXxX+xsUuSJn4Ido2VQcG6J841GPfxS2AG99Gbs2+HFP82jeTJ4 q0T9uSX3nZ2B5b+t8eDcC8SXduTEHFuOKe7DSsNa6LRZQe+gLAYrzMbptU+h FzOeD9rBvMfn0eyrw4fXO1BrQQ3ejPel36wi/rgUgyFDlTklQYJ2/b5U23IX sxtzGPvWUfLmqSvujgtF64djOKKbwohBbvR58RvuiwYjaGA1Bqn8RDcjPRon 9sGbqkyunCOw96giH1x0w2BtD963nQ3NlT9Ek7qKuDx5CtJURkG/RwfKDbPg Lc/v6Dfah690x2OU7kixpq8a3j/zQXmsFff8M2XzpkX4duYKPo06joEXzDht hha9TkyA56VYOo6dCZflCuxQPBKzbXO47OoEvLu2G1umTJP8qlGkfS8HyY59 8Zyf+wDNz/9g2orpkG+0wc8DIei4IJ4t02RRN6Qe6wfdxPb0nWLP47tYq5bE h8urUFpXi97y62FeKvWU9kvC3rUdlsZbcbflC85JljsPibLgUgslcu8geqi2 O7vP/iJZ17cWjV7PJLvfqfOy5SFYRKYxT6sHE+YH80iVPS/8c2ZzeibNfk9D iqe/SPaMZf2xr5J1u/xpfiGWMlWrcSk2gbPNNFh0bxg1umdx5sMO3Ho+iv/2 a/KkRybPu6nR5U4U+z6oxzjvYRDt10S703dkmXWg+hd9Zi8156E34/i+Kpzn bn2H7eHxbH4kg55yhgwI6iTlrbvYPGEM3ecPRUn1KfH10V8ceF4u+qkHYY6z KRsiWvD8Shr3bunCPg0OtF2SiUhp/0+Ny6BVLzeeTUnjfosIPFJNgGa5LasW 5VBlqSHvDryDc98+wbdwIC9VLcX9FFca2bkJ+ccLUCHN+bTj5WjOfAqZqTdx J1qFaGtHwZYmHBkThLs3NyPtXT57rVoAnxg3dqvJ5cdF8pRrviK5q5zPzjVb kRJrR9+PuzEn553Y+WwjvDTbhLo0L1NPGzHIUY4z4wJ41ymc48rHsiZKlQsO WLDJR4eGX5yp9WA+Dq7L44Elt7HFLgzj3gykhrYir83fiN8zAvnStA1ZptLn JGTwmb8BPXb8J5nz+a2oW/RZ2G9MpsEaJyqdm8hNG//37bQOt7dU4ePYQnZs 7MSNnbrj8J4Ypkj88fvHDPFqgxcDp77DcL0i9sgLY0OBIWdsqEP6kEfISM/B /B+rEZA8iC2nNkmyAwzo/3MA5hb5c9eltXBMLOBgHQfucpfy26Pr2Nx5CHPL k3D2ajBs5yZyWP84Nu2M5Y2desJ1506YPU/gDrdZKCntzbPmpOa1ILHFMpD2 CQPRWNMJ/zqWYkqpL+U+/oFbRzsu9TXhtwvr8OlgGFt3b0XFpSPoOtWWlxeG 0ytvvNhQ58ULZQncPmoQdDxW4rGhLRxrx/B5iCJdH3Xm1CMLJBl+7mxtnILN v06iRn6TaPvwBMHPx9H95QP8WpyAU3syxPeMGBjPSGWXXQF8LnWtQoN7uG4c QsW10Vy6eAhVqlS46WwRzf5Mg22NJRNjkhG3VZEuolpE7k7l32hnBg3sh2cu gRxarEVbpXs4mTWZpzd600rrK2T33cILhWYBly14sdBN3Nh+FccnueKk8zWk 9jMWD6nH8DJzbpuexxm3kximl03+vguzzzeQ03gZE73MmLRoOJ/V3MLWjJOo HLcR4ztXY9KiYC5blMYeR4+g2uAc1OYHMTfYgrczonjOyohfH5AS1c1YmG4o zab70PKO4g0pU9Vnh0vP6EpDgyzOvpOMGyG23D86EI9xTOjLbhXN+WcQef6j ZFJUCHUXuzKwNokv/jNn6wZTKXt3FTkbtkpsyjYgf+cObLIW2DBivmTBrzge 63QHRvenYGaXTbCMTOCnbBk+69UXt18M5jiFCpx2jmHYiXzqbBrM8ugopu33 prVcd3Z54U71KYF8b/8LCv4OLHmUykTvCbRLHMdHZm6sPL5OssvsIFr7jeW9 Ubn40bMP1z324qYxa8Srejvu/qwhknu6MPFqd+qryzBUzoQ5s5rE9GMXMPtd BoKv2/DCtPf4PE6R37oYc6SmGXNvtUsMFOUhZzGBCc4XMTFTyuH/nUH7tH84 130GTIuVGNZ9EM8Urca8kEmS19vS2PP0MM630JDMO9CHPge/CEm3UKabKeOU my96+YUSn6R7c5QmcxZ24YxDFjzzYwyXSWdse986fNQZzPN1g3m4qypnpwVz q1wUr45X5aUzyVR1PoX+efl8obhc9JlpIs3FnnRzd6WSzlCsCVkDKU+KubVj xJtlSTyVm4AfEe5sn27M4MR80XfxLnQeMlC8+z2RiQ+Mhcc4af53qMYeqw1Q XbxEpNs4sO6SLjWujOCbdh9mnO3EIYfSqbJeMMBF6r7qQ9ntrA4Pbvei0sfJ LCzJ5vZu93BaZg02nG8U8i8GsEYvnT6P9+Jkmz3P/xfPXjen4dLo9Yg+VUzV KbHoGmbOnYbZaOyijkL7kfTeKc2OjZlcqKnLzq8VOXzPSGb3lIW8zQ18VjmN TVGrxMi2jhwWqsaUwBykXfISkcm94bJ6LA0+t4rmoKWo3eiLAdPbRUyJKt5X nkPQjdUS7do1yA7/jKWfmzHpTmcu2aFEb/M/SA4cwYq9iuwxazyP7liIr6t7 OldoO+DoLXPJ4sBojtybiaze/fhwnCV7LiQ4fr1jlaMi1ntWYOEvU8q31uJP 1FokympIa38JN3fq0tFtAgunZ9NB5hy09G1RO9aCBySDuOBQMUtSvKi5y4FX k3RgfsSM5ec/YkWjB9xPuWGTwnARvD2eFcnDEdY0jP38d6HnVH1O7NIAo+k7 0HqjXOzomUqvAb3peGwlbIdEcGH/MPYYbc6y9QY80KpC21WB/Fqqhek9Zoq5 t+rQf58Zo6tjqZR8UGJ7pwttX7WIT1pZODJoMIf8VKDbzZ5s9tFFVOlxwZ0p DA19gXqlRJa+6oDqH5dQ5vZdfH5USMnZNDpljKe22inMN1yMy9XKvHIiE6NG BeLEe2WGJAxGUtogzGgZwxGhs3AyNIc9GkzpOXg8K6fKUfvae1wwXATfZW7U qDZl5wHZfGTdJI4sO45R4Vr86tuLy793Y1bhGmHQPpwZl3MYvbcD7S7Fcfs0 Gdqn6nHLzD/i2YT5KFy5FOG+QUx7XooCI3ne/BCLRYdbceObNhP6qfO3ox9z FrhxaFI7LP4+dn4f/l6YbFHkhKOvsTNQk1Pq4tkndBQXqntR7fh/iNq2CAn/ /UD0ZV3MPGWJJHcDbqQ+vPMH8Oatz9A+eUq0lGXzk1Y/sby/O0VUFlo2v5XY NXvwj/FmYa6UAV/lq/BPm4GqV5EM3lno3Crt9bl3elHx6Doc+/ITagNk8Kie tB0yViQtbcFaLX1JP5Ugflw6lkqXo/Ht7TPnl4HhjEvfh2cnMlj8Xp1d31wX pWN6ckncSPgahzMlgJiqMRxGMq5cvF2bM3USaRdawO7xcWwdehGP23SFCNoH 6+OW6G92GnrjR/BmF1UmfZ3M1eFrEVAdxLA2KWu5/0T8Jgua6Yey39vzqDJz x7ySx+it4UsHq8u4P3gqBnmeR8HP8bw0oRydDG7jn7kb7+nWYcHDUJ7SUWC8 kQ39Nsuym3x3bJbOnN/PUnH+YBGuH43gMqdSjO64BFdvdeLl6AIWSWtyEYfR mDmRakt+462RMufNeoAlKRY8JWy5dchbTORkXHBOZ15bB17Uc2NRXQZ7aORh WueZosJQhbU6nTh0hQbeh3aCq1MUR76S1mVANSZcOCE2BCch3vSfCLTYgzFy i4V8rDfX6WrTu5M1RowF9rdIZ1CSCoP3k1gbYMzv7YEIeTmRBrqTmGWhio+W Weze7sJOIyZKve6v8CocyT26avwQ5U3F5kBenh/IttZWzNEO474lx9Bt5HX0 mDyBbe+nwshcjl9G9cb27XUS70/nUbftPGQGL8S8xAv48ztD9Mz0wAC/oSLr bShf5BwTytPleeV7Iw49ymE3zZmoqroL40O5zHPyZn1jHxqZ3EfHpPWY9C0f w4K7scLCihoGjlAZFsJLdfMlmd+34fymHGos7I2txwJ4rWsdDrp9g2jRELqf M2Ebn8E9eW+dQ5/70kdZnyHNEkb/UmfoaWnehBlzxtkn4uRYV/7xWCHCn6+H 4f4L6LxmBM/ufYXQY5/EDR8vLiiuwTCpb4eeNWN8TSWi7EoQGqTMswekPufZ jyf16iWyb2vFx3PKjL2qzukbteG3tYglC/c6qW3xZnVZDFU39Gfm+yDOz9gv Us7Y8IaNIwf0MWd40QjGh7uwwSSGySUyjI4bQe1DbaBEDz0Vs3n2gmBrmbq4 /vOeWKTuyRFzSnDv2gu4X5Nn8oPxPF2gxUeH8xgUmwuLynUwbNKTGPZKwoIX K8XZigTeMcsUGY9WIuy/KryUutyLgQ8wfmcQverXweChH9Yt0cXNJ91Z+t2d R45Z0vGWHT4520P1Z6DwjeiKdea28Kkx5FhdOY6ZawD/Sy40fp1HTx8VLhIu 6BphRc2K4ZxifRC3b8VT/o8WtzvsElYilnx3HO4vlTn9SxfeG70fodq1eFor y9B+AQxISOeRpAYUvpFwbbIOnePccEjWg1H9X2NI9nxkznOh72obLpg0mW1G X8QzTxNuuarGt4e+ihc3fenZnscSGvHYmRO46JMqbNb057lDfhz0L5yr2tbh eOUrXBigyRArHZgcMOfh1vdYvO0uakZY0vR1H3Sza0eC4VHIKo2Ae5AtR5pW ix3R61BlvwF37x3A/es/kXH9hvPh4mE0HhDEaNVK2DgWw23aG7H74hvxpXWb ZG7EeQy1TuNMiQcfZCVzy69uPKZyV9Qrn8WVqMPij3o6w/+T5cr3Qkx7a8dx JdeRam7IBWc789SnHcLvezzbBunxRvc25HaUemqEPa8s8mBA7DNszOrF1K6h 7HY5lKoOkWjqKvWrb97o97lV+g5BdN8UQJvEj6gp70/1aj8RoWvEkf5d6GRV RPkVD4S2b5bUA4LpFadLq72HMU1zMrWyInk/Qls83tyRmydXofjkZJ7yjxDK h3SE9t31aE3U5vroHD5z9+XQbRHoVGTMFaWmRNx3aAw+h9VzE3j7oSHbi9Uw bclCeBv58eeLb5A1KOTKkG5UHL8cLXfiaD/DGN1UwvigqxW/WrlwW7K/lBek LjRnAOZovYfuvCxmvBNUm6NAmd6ynPXdiKfmfUXInRyOX9ifkeM7UpQmIXnx ITz7bkK7o5qc8ESfwccmkE/I2ohxTAxaJwY0DGT282SePaRP7aotGHjnnHDv ulE0vm9GtHUwliha8qBxIWy+AJLFHWl5yYnFfj1QN3iJgKY1bXp3Zt10W+o5 B+BvrzB8yIylRbYxW2Vb8WZ8GpRuzIbeMmes2TUPJqHr4VXzBMe6GrH4lRpv rMuhf3QwH8aY8KaHDPe77UC+tLfSPX/D9ksxp704jAUhlyF7Vpe/RqqwSer9 exJ8OfdjHzy6vwIzszNg+1gCr92tWINCvJ9VDKcb0cy9l8SJbWfFiqeN8Omb xyS3QuplNojNPI9f7SocviKZB9LDiG1hHLBBkynLdCRjJqzFuD0S5wUXp6BW ZQL1+63Fm0Jtpv0N5M7Fx8Xae5H8p/AZfdPHUOdUnNT/Z6I1v5jzA8fy7KAW cbybD9I/6PB+rROdv/eh052N4qX9IC57rcmFGZ9x3cKAk51nwqrnVxS9UGJ0 d1du36KCe6Mvo3S+LvOvTKL+Njvsd3blG9/hvHsxkDEdvuNZiwbGhctiQL8k XlH0YPLCGO58Z0PLhkRnJ8lAPl+rTd8O34W435/HNnyGTNJNYbC2L2fWvcR1 TzcGJUud97AKzuwNZctQXzb+kbrbSU3K6p0VK11fYcno38jPPI20CzaQr2iF weAuvHS2Ggfs+rDPugK6+LjwzG8HZh01Zv89w6jz/iawbTgnXlyH9drpvJ7k J1b9KGTb2xDmjg2k6U8Z6tVmovTMITzveRuWJT+hs0pCH0fwt1INDHRzKOPX l/Ljv8PFRwu33RaI/C770fmDJjv87M8Mnc0Yd0tJstdIujP2h0m0gz8j5aku /eeVOZ8cPB3HXf/hQMJ6yLwyxlyn6WgZNpbhBlZsvGXOozcbUWq7Ebmn+/Pn wnk4Pi0eYXFrcHp7Z+bq5VHIjOYT6fu86+9IyxNNyLpXilXNd+EY2IhBx3I5 JTGIcbJh1PvtxLE5j3D47hrhEkws25rMYQZrMXeBIwdO8OWh9jtAojm7FKVQ 17IBDRVZ+DbGFH2GeXJF+VnJzKHbMaRcg/dfBvNnUjSXPysWSrOjqRodQU8l dbpc349WfymP1qpzxZbe0jv7Kux+jsKO6FiRnlsKG++7cM0qoPf4zjQsbsLj 8co0Mn8Gp7PeODutHWk3f4mmA1rUO3AKW6UOdmGgHxc/Cuf3WyfgaLgTxbOd nEvPrcG6HunQjYnnClMVVjpJa+ilhWvXu0L7/mJcyUyks/o3hPhLM3x8Irs+ VOSilw78+dSE8bWNeKypyD39rXijyZUfGwIoUlNobe9Pl/mj+cmxB2WsPfgm xhgts7PE8S6XcV4vEtv2ueP7yiIuaAzhZxUdXtAic5SHM9ook1eaHosr803o UD9dLGh4h7kijg3zZkimR43ig5Zw6p/dB73Ka+hoIYeN03L4I3MjKlNV2UfK Ev9+OtL/iBMT3f5C9vBNpE9K5eQaNV71GECbWtB22FAab86lnbM53T44s79j NT5tC+DSyQbQObZM9LJXhse5PYj5EI9XCq9Ebfp+7Hm6F/fHRXO9/WW4/90i 9pW4s8qwDceGuXB/gj+XfdLGsnmz8XeyB2WaNThhbiESKsPYrnRFkpS7E96G eayfFcG1+m9Qdt+cxeMfotpnlNTdpmDGVjkYTT0F4/CBXBE2BS/mjWTmHOlv LTaI4nR1Dh62SWJoZcnIwZvEso9WfLxnEzauluXG0kTUFjiQBgZcezGK9Q8z WXs9hlE2n7BnfxjMXp9AeuMCjErdgazCc6J3Dz1mfNmMzJGLRMvKPuwYk00T ZTVmvyrmmHcJVNlVgjfzs3hmlA522sbw8aVAOD0eybFRw/mo9xSR8tyY+xr0 OOJEMW901WAxgvlvxSY0DC2FxvzneLVwJaI6WbLoxBfcnxFD9zcnUfchlc2f O9J9ttRXn97Cg8mqnNQg4ddIM8695cz4pUEUi6S+GHYZ+WmqzOm+Fd2fF8FX RwN+K0y44e8UJHT5hVmyClTeqIefFzYi48oP+KgF8/aaMPa/703d3r0ZQx26 vO7G4Q87ssv1J/D5sAC74msxa/ksPJ8t3dmNmmT5Sozr9BPDHYqYfcycocsS 6WKiT3n7VEzPHoN3m0MR8Go2LM+kUMQGSFqcejGvIhab80P5LPe1WHfFgDaZ /+FpszMUulwQLut+iAGKjpzUrsdIZR3UzNZl96g0mkzUFxtPpLAiqo9YoO2G 27Py+f7SONj9bUJr1jbcfDWIuzPKoLR9K8Zdm0hzzXgeveDPyvIQPpccFe/T VTl0eDYyTZzEr9EleHIGnKjhwrRQFyRqTaayhxF34qJ0J7gyPM+NZt17UrLm DRqXZEiroMNm/VRG7/ktCnb0oKfsQjy/3AMdFirTpHQvKg5GU05hBJu3DuT2 26H4++4BWkpP4rrBGNaFH0BOHxu2/72GB2krxO5mOyY5auLIWCvOk85oZUId PLq5c/ptK9aenUyHrq9hdr5Eor5bDRcdfCh/qh1fz5tReYQfOna+iNV9BXfb aEjGR2TzxiB3Nu6O4omaI9ie2Ie7nyuw9XBfzpiRRDvHn5hdYsQJyZeRVmzH r5pdaV1Qh8PVe3FusS3nfDJk9nrisOZ6sfrDRL7R02Gv6WYMG5XNxU9suS04 iPV/fbnkXBjFoL4IsCtHw9bjYt/kOaiSaRFLPH4LvcztkhN7P2PrDRPOt/0k /A6Hc3y4Bb4ebxMDbgQi76061B558oTpLtHUrksVlzqstZ2PdIkRl/TqLRx/ RfLJHx/Gh/Xg13/l4vx9PwYFDxW3Ssghr4MZJGdPj48R9J80ilVvNiOtwxDc PBJHPynvF8q5U90zmLv8DsN6TjHTVK2Yk5aDm518eVia38URrVCYIr2XK0Dz 2zYhX2DKhK39+GnRDfx4ECDuZdnQ9e1Inj/qyz5djyCgqyU3fzuDrxPzGevu SruKCjQa7BPdPZ+IZwm7xFv7M3h96Qj2G2kJ/O3OEZmXYP1mEz7Ob3MaoJ7K jHFbUG1tzoW1lSKzbgrEkFR+2deCO9u7Y5DuE3G6/CGa70vdrfm12LRHGeEn zuK/pNk42i7tjesXcOWJoGn8Dzjv92LOqXuQv+TG+Ix8bjk2Bh8fWnPaVXtq xvdm84SP4r/vV9HVMULy57UWnxZIGFawFZ9HuOP0yWvon1LI+Uld6T36Frwi BMR/Fqy7Yc/zaVdhqpgEzWl2gl2i+GuaFW1iutCuqkZcuSPYaWMATm3qTpfq fNpOniZqOuhQ1k+JHQb/RedMB0yPOovvlxV45HMetX+PFUqjB/P1n1gxY782 P6zdB/UD41khmcA7M0thOu0AyvpOoprSIVhXpcIqOY1yGj1Yqn0Yr36dgKXt L5z6mE7LgYXYNV+V55e+gVzhCEoWRKL3hjSuiQhm5stInjLzEt6q8oz0rBZT ldWhbZPIz8oxDJwpw2N3r2N1ojxH75Lhp8F+CB3tyYtBe+CjdO3/n6c2xgZt d8vwJb5FIrlqRoWoTYiI9eKNwJ4MyUvGshxpTiyWclXjPKHa+BfeP2yYumS6 SA08jL4NXSgzMJr6ozdiT91bTBybyWr5Adz2xB//jLxxenkye08dzI9Df0Jx UiAthlnw9q+JYvKERJpez4echzMHllXBcMY3kZIr4YcjDbiiMB/D7dN4qd8Q vte3Q51JL0S+7IF1XkvR9+NUzI9zoLNlGq/+yJbOojUHHLPG7jOJ3KGZxrC4 eKZ/7YlBew+JH/TnzYmNcJggh4YOA5DT8A8XplxE3Z1IHlJajbczbuHmuX5Q L9sFl+YS54r7S8SWvEXw+pHJ0qfWHHzfiLdkHXHz9g9caHJHyIMG5D9TocX1 Ctx9bsXJC1PYpXw0X992pMqS4ZxxMI+an2tg8SmRuWp96frGn+6/XfhtRRTH m3Zhs28E38CJl6eqMVbmhWTgpGKGGP4VZd8sePd9Li27dueGVj0YZSvwE9tw dcVBDHjqTOtTLqwpviZynApgP9SFlRG5dAzy4NJ6by61fgOvhjjuDNDkgbVW mCLtvaF7pJyxVcJdWy14c/1rOLweIMYYyEP9RjV+RcTzy73uXP3gBQ5ou/FC 9kso9Tbl6nEd+N7sGiKG/kZSkwGrei5DQ6QXrV8nMVXXhNozRiJGMZ3eOS3C OzmTZf46HLNxPXy7hLHbM1PqKCcg6m675M97BzbM1eGCVY+hff6JxPqxH15M 1Oa7nO8YmXkb/YPyxQK1NvTzbRbK6oPEN4vdYs6qsVTLzmDfChuetMymR85w dP2RxV4H/mHxpjBelT2P1B1noJHmR8+BzkwoDeNho0mS31crnRtLTagaHw+p zYjiGgUaZjWiTN+PpiOeQNJmw4d/JPRcOoER8utxe1wM/c4Z8cLck+JRswfP dXyH7j2j2SnvCBzumjKg2Y8frY5B46CP0JhsjR8rpyEqZRCPHRvBp7Zn8L7q O+oVyIaHssy2MsbPpo68q2/BczOHM6tacM+5Gzj7oKdEcaMqF6YvgiVsJSn/ BlP+vAIfPSug3ZMaTJOvwPV9DrSK3ID1JfcwzTeRrpVd+WBiPNrzU7i7LIGq 6RncfiuBGe5L0RhZLm44unOHXxi7PO9L72prBg4opk2wKvdX30fz5SzK1pXj dXI3Xuo9X6zZM4p94idx19RrqK/w5MCPIzmlYSdmDpLw5YXTuKG9FX2DSvDM sAkqLUV0fHAG5cfuiKqJLmyf3gkbdQTPa/Tiokf2HBQnSwuv0yj4XeoUYhJO z0wTZo+ZhoiAzrwguwT9BpaIZ/mfoKuXwC1PqvHUZwHUDeSosE2GbY9t6NGi y3/fKmBfUILNJx1F1/JcJtbLSfaMqoGy4wUcvGTAS7NsseGrDp3fmdK83o1R jrasf6XK+1V3YeeQQ4uUpfi4+YT4MOs9ao4uR2tdD5YEx4n7Psli74hoZtzu Dddp8uLFZCO+/1gk6bpHn3v76nKu/zLEf+7Kv5NGcugjPf6ruIaLN8zoc+Y+ +GYgShzNONMylc8bVWk4ZQFiWvpywtdL6NVxLH+G23Kf3kLED9VhdJeJjK/S pNq9zhx/5I5TJ2muStxz2GNTOmYF5NKqeCD/O+hBd7Wp2DBJi3bG6ZzwzI9D 94/koe2ukN/1DkUW35DcQQl+r1IYNKcVxdZPsKEPxa8lI/hoQii8doXy6NwG cdu0HOUBcfzTOZ0iOo0HGpS5b6Eco8/LYZmKG+sG/8bEXF8evPlUNJ2YDqOP iqyXzeFAc09mhuXSYM4Qod/rBO6tKkPr1ge45l0rslYVoGWsDt/2uQJL11L4 rA7m5CvjpH37VbJCRpfJCtrMdlCBaZICf72TsDo4hnLd9iO40g4PrIdxjbw2 LdYPp8fupQg6Ec57+5qQNFOd618XY9geWWqFj+fX64a8naBL64ZJlEtqRODI WRgsda+IEyuhLHXRcV+GITayL1XVZiC0KJWLXjlIZ307ymRs+eXVIay9p8Om 74U8fMqYyxZmUP5Ng2Rcs7IwNDDHg9i9mFtZI4kqe439Vuoc7pnO2NhezD3V mduiXqBT7iPYuweikUMYP9OVNT2eoiFklbg4L5RWP2KFPTtwe6smUyc4cW3R BNrVTObI9WNwINCMSx5/wI89e/H3lzJHe8ewd8B7nLeyYv0MFTp7ShA40Zp7 n4Tg4/RHcJ0VyI/uH8W5Vh12UzmKEyd3YuQxbQ7esBPXHvTmwpqeXGztyNCG CO56Z81UKPDAO1lOaQdlk99hRM4g9hubj0GVUbSuvy5GFdTixOB0Ri3dJ5p2 HsKhFwexcocxty0O5Os2E7oucJX8G2aN6bsMoFo5G/2St6F2YUc6xPhzV1tf DjJU5+j+TiwvsWKJ4VucqI2X1P/bi82PujOl90O4rb2I3QtN2HhsK/Yle3OK 2m3R/dZwrl70Gaa6/Ri6Lh8BO29jHcx55UGYpLVLIu3dh4iVRYnMzgtHx+PZ vBM5iDf9h+HQXxf+OFPMTlV9eO2SNiV6brz4VYFZ3w14rN8CKPRqwP4B80RW J+mdlPdm9n1Njl4UhE8v5oqNl3tCbn0Z2jbPwYQ7VZiAr+JLpHQvNFbh+Oij kpDrFyTFFu48uNpDyre1YsjoIqzvL8v7ewPFo36/EHizH1XnP4XkyBocGB5A 991D4WMp5dmBT/B7tx8/HTwM/bwJSH00QjTePgLzIYvFRct3ospyIpsS9+HH 6SwqGU+m3uJRzPsSz6o+E5g31R/R/TO5q9tBMWKzDq/p+tJO3wzj4yZgtUEa NM1TucMqgEa9n8C3SIHOjwvplFbIy7+C2M30KUptKpDo5c5DCjGiUC2cM0xC uSQ1SrQqBtL25SnxZ1koA9qnQrZXFlsqOjDsf995XNRkp6IjaIlK58tDLzHu lSefTJdnje1+LF1ciL1bFNlrrSEVd2YwSbFREvG9DxtebBD+A4ZwbeVGZMqe wYlLhiiBmpg5R476HS/ARN2VYQ6Dub3PGtwsEiJeur/vrtShybHOLLWM4tgv A9B/giu9ZYypqq7HTgoTGPdWgV2uLRKGO235a6gbXVUFL7RGOmnvj2KGVzwn xinzU0UPiXLobzSmafJZgzUWri9CjKsj+rjNce77sQHBT9VY7vsSL/x7oP+F AWSiNdWmZmOiqy1De74TftUduHduJlf8jmKv1b1oV9BLbHnSDb8PbRcOIX/E RMUsNsa+wMIqbS7cUcg6OwdW9x+ATKOB3BsSgcljMvklbokob0tiSY0Oypy8 uFIQ+cbXkLxbmuFShrvWSZ0W8Sr8XSnHt+0m/Dl6KL9eikd9+B+cf5tFdYWe XNZXR9QvDOF+1ePoPkxw88mJXKvfi/GdDfh1jQ5FJw3e364JV+WeDH7TgKmB A+kUvxI3FXS5IqIDtVpHIVxTy/l+uxE7aAfwl9TLMmsLmWdsQt91HXkR/tw6 Zrx4eZuidXYgZ0ztyg/9w9gv1ZLzHxQyYL++OJjmyzLXCozU1eRNo4l8HPAS F8uG82LEb5yZFMM1kxIY9suVqHgMzYVZbLL6i+RyYyYbzsfFyH1YeUobfnK2 nKLkQ7NpIdRr2oq82a0iOiRQ/Fmey8hTLbBw86ZNgB80fsUx+6IinflKzHaM YKrRCDZ0U+L9xZOpuno8d02Lx/QSGbY+mMw7ZvKc+/MBlvhMom6KGoO112NY Ua0InSQ45U9nysjpMa58g+S6dhTj8qX3Uwne8DiEtNzZqN8wlLlztXhohSwT dtgwXPWCSF5dh5FWYbxxzZpCcQdWH49G4bksjJyYysv2lfj51oizv9TDJe2y kLnWhanj1dhF4YewqujPs4OjcF6iytV3nDisXofNWSpCThLE+/Zeoq57DvsP NEPGdV3G9nNisJ0bfJY9xuOJWcgr1WfKFhV2f/0ILYFv0GI8imWLA2Aer8au 2uQF/TZ0kzxEWqgsPXx2QWuv4On6l9jc1Q3rpTM36f1iBF11p3HNP3x7nSVe t4FVEwZLmSUOl+Z5IvR7FJOO5rD7u3FMn6SFOVN1xSeRz7lmWvzTkCqZePsi Pk8fwLIjh9Hb2gOjrlxF7q0w3usyhE/NZiN9fhRGr51I+bdD+ex+ET52uYi4 p42SP9W3sG3/A8wzK+acPunMGqzDOXdv4FNqAvfXHMfoy1+wt2aVePzjCcri bsPp4GfhMK5caAb3Zv6fAhybpMHd2QG4378EVzRieCc9ip3e21HFMJkn5b9I epqb0mO5orAf2oX9LGTYr6mIJh2l57RVkdQXvMIfl3FUPGiOBduTcKbSjw1L w/m+5D6+r32F7yeWSfw0fuOL2mhqj1Skg14QK75Y07D4P6iuLsXCojZckXrR 9nG7ESbrz/aTadykq0rbskfC67cr3WJ6slxfm4+LpqNIup+rcjajrk0ep2Qy +GDRVkw11+Df8004uEueKv9lMLsyj7cPJHLBwNF8/9ybm4NaUfTQlDY3GqC0 4A4ujmjAuv1dxKC6DnxwDGLK87P41VmwwHwQQ6cm8vi/eRin3J0Kh+RZ3nMu fjaexB9lN65Rf4abtdloet4Ndy4VMPD4NsSOthG3vSqd1xzTZ/7hUO4ek0SH ggTa/XqD8pgBVLyoTIlpGz78VeLva6F4eGKGmFQWQP9pOtQtnMjAQ1EMXJXP c38qxZOeY6g/uwtqnMMxvKYn8hqMuClPns9luqMpq4ibVivz0tqO+BV6Erfa LuBUUD4ddcfxhcpb+G79LNn+0Y7+GpOor79d1E2x52s3Tzbv1mXhNFWeiVVl orqqML2Xwg9VZxDhDpZUezC1XJke1o9h9/APHl3SY8c9gZKru6udbWpDqdz9 CMZpRnPJjhCWq5zE9MJeDJvuSbm0FVg9UIbWFaO4o/MDODZ70iXEBI3xHag5 OZTaavsQUzqZ2xS3wuLHKPosF+LhvjEYu3AEU2da89bberRHjmT1CFXe7bBO 6H0wZ/3EOzi30hCjs0/h1bYgZuy34ZKo/py/dI24ovoNkzo8wyP3LLY5yLJI /ht22v6Hqbu9oDp4MMYXR8Fk6SsMfK7G4c56tP14DyNf3oTnylRWWMhCsnEw lPqGcGXf1+hwRU54TY3A3PiZIvh6OwrKLPBU6lw7fxxAZN88JrY+g8dnJS74 8s55s6Y8K2+o0n+ZJnqWbsDq67ukrhPIgC8R0l71o3eDB6/+6MaoW9HQVkhB 3pEgttsO4/ckXX4N9aVHrBP9Zu6C/Ao/3hiShu2yk7kip0As7r0BOrXnMVJW hje3DsKo4b0RXBDOlTHDcXH6YMSMcOLdkvH8ZyGwPHUoPzrtQ9SR97g2cjC/ 1azB7AZrNi3xZVgHTzzVT8XdzmHs5OnDMUtjheyyHYgfUiauz6kTvr5jODrW BtNyxtGs0ATOlutQ3BLGkv474TGwHqMSB7Fuorfk09lh7PggiEVrF6F1bBLi Xa14dMEjKPsPEMqTffim3xuE7clnIpI4JsqN9ZHudNJ8h74rhjChXImxpdV4 16CH5PAevN65o1j35L2Ittgg7k7uzp93bDhreTiGLAzk14yjWDYggNrb3+HW 82gWnCzkgf4dWIdW8cJboKdNHMvOTMSlDWpceXQEMx3N6au7VgxyKeLWDn8x 76IPr2V3w5ySWnSR7c2kx2XwlnTh6jmqrFaOZVGCEj+Y9GH96LlQlrJh2T5N Hi9rwc6F1tw92Y8ZRx+LtAvGXH03gsGWWzD05S7s9DkFry2V8P/2Ajeck9nd 6Yh0T7txUdstxFZfFEPDpfxndw/x73R4qYM+IiJDcPGEhDVemyT/fK5JjkYo STlYllXrsjD+w2Kc/aJDr3kxvHzEBZkXl+GZdKYM+k7gzvm3EP89iZMWKnHh 6UTa5gdy73+FHNNJBp97m+C/o7Phey+SVYUWDNi9CmJrFv26VMDS0YT7pLl6 uWGvKPkBfvy1DiGrpWe/chATTiXSOXk1okaOgvnN45LMM1KgOWHDdQNqkHZM hwebPWj/cDHa+z9H2DItBo08I9laugQ3Pbz5KaQDu8xZD7eXV/DabCIzopaj 0MyWjQ9fOoeNlGauewAdT/jwxK4sZo86iEM7TKA2q4DaVZVCy/4RJj12Yc+U OugkdqXH6DgO/m+3qJL40aI6nNp3RvCF/nYs2WvBxyVSb/i7D2mj0nnm7njG jd6F3ecEN83cg4pubqxN7En/EGf86D1BHPEbzk7u1nyaEcCfxxW59kxH3gnb De+RTRhpqU+P8lBMz/Nj9o312P+hhzAZYILvYyeJMHsjGux4iDsa+TijU4kt KxP4+OgF3O9jinH1MZQ39GOf3C9oNYpkr+3F3PvghFiu9xQdHRW41eQ3cgI1 +OuuMcvzOgi9aVHsHm0H7Rfe+L1oE8rP2tNq3F2cGx7Lhdv78eK4v1h59jHi yhIZ1ST40TKamjb1mN21AAu0V8GhYwIrn08Rw4LniviZ/6DkpixZudGCT3rl wH5jvSR7gOBd835IDCvH7TUKtDJzpO6cUzA2bEKfnDwu+dmDtTtviwNuLkJL R51OHj1YLduT1T530WfNKzCpHBdym8Qk8y+IjhzO4X/OYorKBoSvGUpLBRPe O7JJnMxdgvmyGzDOfBG0Sz0ZPsyCDt90udwmg2vGu/LHbi3crs7goOhqHOyW LakM0eCP2N1i0ihP/j1dh7d7lZh+cx9GXT6OFceMaSJsOTbfmJsyFFkTYsMP k4fw8JIIrHXtTZ3UnjRSLkTfh2Ec8mk90t6b88FWPQZ/0qS8jh4fNyXifNkr pKvKsaw8DZsP9kLmyXREy6hijF13nJ+rCG3/AljnbkCakz81x46ndoe7yOlg ybao3ygclIALE+yJo1ZcHdKdLQ/U+Uj05tiBagwyWI+xyY+wykSRPVQHQ80q hfVbMoT2xeso0vLB4RJVjjikyysDExlyfAtex6pT5YkpH8QcwpHNffBU/TK2 znBhvu5SnH8ZyellKix90YNHXtmxyucwAtTt8PjXapwxvCQZqVYvYl5ZirOX f+HcRiNOCWpERu0GuB1egJVFf6De4Q4K47sRbwz4Rdgz8Vsw/ybcxMvoXbBI 1WDXLe9QP2eO2Jyex7BOJtBUDoFtx8voY9+Nvyo/YlU/TQ7VlGHuz8m89nyf WG93E3P9NqDa21Xi53QRf0PB2Dl1ODPgJFRW7ULVKys+t5iLQLkZWDh9uWTo zHGMuDcJmlFPcGPzdFGcmMbKdBV+8TPg5vgq9Fo/nNsG6nC6ewT8l5nz2bh8 lv225RVVRS7Xd+CmF6Pwn/o6DJTuwJ7/UpgwdwlsVw7k3eOrRXDfrnx22kWc mZzBTXoXUSf0udHmNNKk3FWcOgsRu6ehJW681F+7YuDnNsT8kZG88g/i9FJv XltxEGvXHhIsGy2mPNUWSsP0WVVfi4TXcRSGpxFrvA3r9/Rl3zMW2KXyCq93 jmbm6kAWNX2RrNBZgpeLxjBkWQt+e4bxla0OzJ6Wwne8Cfof/oJFHcxp7xQu PBxU8HNeonjyUJXNKwr4Jemv2BrZiUn/TmOWWRSbzHRZ+nwcY2hCnWm98VjZ hW5/BjFytzNTA6Ve7pBH6/PSPF4lzeAdzVh1RZW7igupe1GXB1LNpZ5th8vT 1VhplcuG2VWY9dqPX7qeFd+yB3Fpz62Sw2MjOWdqJmcumY190aYs7NyAhxqW 3DJRm8p6qyTbKl9g5wUlFIybDrXbMiwvG4VM02mwPrMStc88YTTJlq+WHRQF 31R5QUaLsto1CByyFou3duVD1Rr4maQ5/nfPH19tZ+BR6Wj4Rk/k3YeH0eqw DhWx7liTFsY/k/rzSL43L/p4icPJXXhl/07cTMlmjuVoDrrfiV1/R3PO20EI XzaSV1Xewf98PA5cWIbbsjeh+zQBVjebxPtLchwpL2Xvo9m8+nkDeGcQq5en MNtIhRVqZ0XAu+N48bEUtb0m8fOTZxhUO0as/27Caq81wgWFHHwpi2sjv2B4 QDZ1yn1ZkTKEbaUTmHwrC68TC7i5vQv/j4Lzjsvpf8N4KUWDqLQoTamkjObz ua6W0qKiTYWWNiVakr0Jkb0SQsje9VU2WckeZYWMrOzf8/v/eb3OOZ9z39f1 fv/xnGXjDBjfGg7fMyH0zvgINTtl7t6fyDYTqdP1L0ZhlDkOR+dSoteEFLuP qOy/FIMUxuH2mAj6NO5E9dBTePWwEQfDgyjX4RaO/E7h6/3R2Oehxva9z1D1 7z1uTbIUK7874sC9HaJGvhiHitqESe8RonNVqqixkWU/3Z+w/B3IkNFdeel6 neifGsP9kzTw5/Az0VWuJwP0Q/l2XmcmZE5gh4oIKiocwYWBC0T48VbRfmqB CDB/DpPsSCYNXoZlMrE081yA1i5anPREEd/O3xc1VUPQa3656P3VAgZXJzIz 6p1wKWqDiFgq3rbocNGX8UIvaSotv7tSbqgNjWcsE4cu+3LjtSKsvz0fp0sU qL4pC+0/lIQIC8X8Riv+XDKASOjKPa+WIsIklSoFg9ka6cQ+R0L4zLkzDdJX wrcgBfu+xHHLK2nuTvanRZEdZ7To8orLK6TrhwjFeA3WVuzEw80hTIyvFa8k oVyp9BfNgRNxrmgs63zCRcFqoH7pIizyvgHNiwX0fTGAVRZ+zO7YB7uK4lha ZsXU2Dx2r4sS97OSubRVnxFNp2GwxY+fnROofM6J+18Z06PvFZyUCaVPSpHQ nrYcgXspLHoa47/tZ9E0vDcdbyTwbuBoXh64H9/yU/n86lo8P5nGWX0qRXXc afTNtOGKiQ4M99BnuWo+x3Q7iY+z9sByiQd+2swWk2edwR+X8Vzi2oKwD860 b8/iwe2VkhMHcxgltxKhWa7Y8tCXaW0DmGGlwPaNevw8rze2vtQRe+QceOSi DNePkUFw/1Xoo9QVwb+yuSZUB8v2dmdc+WJ8+z0Ab1b7ipf3TBjXkC2peDqF HkbaWP2gC/OcDmJPugN/HCoWn0LMOabprND9rs3alMuI9LyFJ+P6My9aiTt8 mnHT24PHOgezYeFvnFM65fysJgdbg6I41yCcKXaZtHHPFikBIfzdEkqNE3FY d6gQ2+cOgHL2cHa+n41+Xaz44vVHmM/ty+KRc8VZxVcYlvBWXKx0Y7cRZrSM fY+H6gYMuxbNjTLrcHBhIeNdC3CvLp43Uk/BpKCDc9ryqfj8yJI9el3CjjAb BiVrUfvLG2T9TeSJdi/2VtKm36d0yq71ZdCfznxjlMsiB1ukbjWjbIdqfJR2 nvG7CTxz7J5k9ayJ7NlnIQ5alWP6rvNio6we5zdqo+i+C2r2FeOVfCYLNxpQ 1UOPpw/sw55NlbDvEMy2Nj3WZK4TjZVgT3UZRo+3YJf9Uj7NzRI1J6agsvsE 5u68j8qYT6JFogmln6YcWeDPX+avJL1LBiDx7nh6lhdj14thIsbhEWZs8GXS PHnoaXfh3/Ch7KBtTZPg4ZwxJY6FYfncVnIUS20B/7ho8cEzgxO7dpLoHV0H /QNXMc3/AnJ75FNH+QH2GmhifoEDf8c6Mb96PjbdVmH0r4swd5rKlx0Own7Y DNhXS3gxuA/13bxZe7QLRvquxuR7T1Dd1ZiDiu9ihcY+yaB383A5O44H7JPY Fjpbslg688nqV2DYaznCSwYxutaTx33SaZ7igb9pOSjtF0Xv+lg8ag3jIONw dvRaiB81wWK6fjqPBuWyftpf53u2cZS5tBJLLJx4K0Se+7fns8vOCdRM6sln +WGgtyxmGy3GJ2HGqS/eo++kVEblfcHOM0F8vaFGkr5ZhV27B8MmfhB9dqew ykZXkrbagz22tklnzFT8WKdJlx6+3Hx7FWYUdOXy5ZdxYpU0VzQ8uGazvYgo dKKPiQfdLKOxw2SduDTtBiKTJrJskj+iXFrwOF2NMVd2icCvttQqVOI1U0uu Gx7MJWPG8WH3EvFuvDN/JP/Doj2f8PeOtLNspkDnWQb79++AaxeOYe6vLOFp 54lZT7URrjGczb+VkZrclznH7XDObS9mrwfeHdgJo8ye2Pw8h9Xa+TQxVKZb cCGnhilisakyu6ywRtyCQO6824UHVUJZ5zick7q2Yr2SHHeoTWaKNMd3Hjdg kpUns1cW8r7bUDGpywZY6BsKldvhnGNjxpwOhRxYu1vcKVqKvm1vRZN/FTLi Z2Ktc5HEZXcjAqan8tfP/hhXPYiTrJW4y06GByOuY+DPAP49Fcp2o1/Q/u7J WgVlpO3szNGjvwid6QkcGNOO5ZrG/Fv5BHpHV8HyVz5NvT3p9Kkjd5gnsGD7 Tgx03A1n9URefGvFQNU1eFA9gTdHTMPFleQf6wK6X9GAs+UyVCQsxa5Htjya 1oUnxk7ivZiD6OYzgsG+2lSruCHxMPuJ5hIz3BrnBtfzu506qq3EjINvsOXe N3gN+ofAW4X43qDG5YVHIPNOkbtjqhDW0p8femkyJvSwsPcPZMBIRfbb5s6t f0NYuqMXC7u9weMzD3HW0Ji35Cbwxout+OCixXbNPLqX/sDv+Sq0HDiUJ8sW I0F/mWT7v33gyUROaQjmokHVuD52A5oGDWfieif6xUbwgpaNdAamo3zIQDE8 R5ZF04+KYbJhPP3bgdZDxnJLyDBxUjcdBdad+PFbMkd8GYd3DVNRNXEq44yC mDV/PE806vNwPwtu2g62FOrR9OwJmHlIO7TCENeDnosDXqdgVJ1EuZG63J80 kBHrp/JrZju0ApSp9Okwvj414+3Ci7hy6gXODR/GfH0DxpkMZuKcJPYJXoCf 74ygkD2YRj334T8FJTZN/o2CCBn6rpPlx38d2LM+mXey4xkZG4QlST8w98N8 SWzhDNztJEOXuFLM1Lz4/++wwr9Ujd+WdkUF4vjt1ExYn3gBuWOnIVO7Egrd U7k+qDNbzMbSsaUXE5+4M3HBW0mC6XRsjtPn7O4bJDmHs3hf5wtebIvn0efh fLejGMEpysw0Bl+kfkfltylcJbcLsjdKYCPlLHd7U+4wzeHeC41S/lgCuSGO cHxVjk1R2kzUm4uNe7rQ5q8+fe1PYWWKCiuDvyD9eS90GT8GIxSbcHa8PMaZ 2GOFbhAhzdNBvYdiy5Mo+viPo26v22h4lcqsX51ouSmBe+6O5vZpK8SDTgrM TVgNOXlDts4+iwubO9J0ZArzSxqEe3pPmJ03Zn3pd7hIfTI1UZqLy7R4qjpb 7PB/JNTlap0XVt2G7A5j+N+K4HbtHtx/ZjI+iuPiwPZKWLpfE017jFhZlsLD en/guf0r5KSeKXlwEvJH1uKQ8XTslt2JnLULMXrEGG6M1+FWJUU66bSjeXUf Fr07joeDX6JqwG20OOYya+JOXJaPpkTzFE45bEPM9gj2erRFVKh0x9JmB1Yv ncJ7KnISx9bhtOtSgo4ychi3pAHxa/I4bcF2sb6kvyi+kEeVxd2ZmNlZArMt olJuJ9yjNPliymShETFb5MgN5OZSc1w5T7rbbcevsbrMvDCW1aaB3P5iFPac seWZ0YNFjrUNE7VSaHIvCtnNF1F3pw3D/pC3LNW5Of0HVL8N4KYjDpRxcmT0 8KfIfWkiZp7vzMr9Uh59cAovB3ci9Ragt2QlhkT3x5MEJ+JHKJOCW8Vks4Ec mdRZNMzqw/We/bFTuovBnmoMeefGsuUSutQuFyMDDKFw1Y9qYRqM/V4vST/7 Gf7rJrFYrYDylwyY3i8bYalRzDtY61ztcxqnXY3oqKtPz2AgpfsvNCd2lVzZ uxPJPbR4wviAOLEsCUWy5yQZJVHITxkIuRAr6GsvRIzWIknV/789mnVf3DT7 Crdrj7DKrQ2mSxWZf9MFW+W6ouBeIj8mz0SMviqfvjWjVYixcE2xFd9fXhKl P2Sx+FcO7dtUqTjmMRLc6zEyqhgZzY2IUZOFwdhDWPpyBr7OGUjJDBu69tkF m876cL+pjtb51nw99hRcanai8+CtMKj6CvXd2dR8+BpjbXcL61Zj7r6RT1ed HHafV45pz+4i5kowfXOkjrbrM9ylHPukMJtU96HF3XkSvdDjiDn+A4oZKXgy eDiyZ3Tkyx1nhNK4asw7G87sDias3/xZfNczo/4OOercdOCah8G8PXk2pr1x YGLAflT3UWfu33I8GZDP2cqmbA8Mg07HrcgeXIp/J3/i2d95aKnuTDeqsovp Nvx3KxU2WtWI3pzNjTUr8NI2mHKWC/Gv+3zUKcnTPXkn4iars8u2QrpcWArH PgXcohzCBQf7Cu/3irCRrcPtnFF4YQXqy5Y7x1p5sf7uVmTI9+eM45X4u1+V r1rt+Xf7buw/fVIUHxiB8b1+40WFOWWlzr5O4SvmuR0Tu1SDOGO2HoOu3xTp H00ZdUOJSVeDaXbjGk4nrUJZrgWb5l7D6N6tCHdV5HqpZ1R7dcPe2xfR27cR Hcca8OnkSzgz9bawHJEHlU92/Gi3Bft3S/kkUIN+H/VEWYIrM2t8uKAxgm5G X0Tatl4MeNmMpt+T6aVhxjrJAzyrS2OnFheekHOiflA8rZbvE7l6nzAyIgIh D0P4ZmE0P1oPwv6v7mx0TOQC9fG8t/cWdkm70HLLbVHenA/VkJfilEqs6NxN U7L04zN41t5CvWMjfPJOYe+gXOZ0Gsaaq+5ICV6GHB81jKtTx2mjjiwuWSv6 qBryw9dNuFZvz1Xdk9Ahci5KUiYTMa9wWzozD9yTaS37Fnqhc0Tq24eozFwA x2my+Jzcn0+n5XCmtjOnHjyFS/UrEWGoSo9xdxHe4QPaTMknLoY8X2BI7505 tDtzV7hv0+W9A3/F/CB/tlp5oP9vPd6xuoe7Jd9x+rsFvRpGcNmnLLyTG8Xf G32Z/8mLxsqGnGZpxNZCVdr2XQSt16slMzcN5YZO5fBf+Rpv9Y/jgLETly0f gTOP2/HOrBcPdP0mnbm+PHvCW3QYOoCfL1Tio1coF1GW40fZY7uVm5SpxrKq dT8qjoZj9IooHLl9CocNB/KaiiZLJO9w5VEKYy4O4czPvVG7XZZXKhdh35tI zviRg5NPv0hu9hzK/dKMT+Zr2AeqigEx/fjdcAYSdYcKt2vP8JR6HPXYkPO6 6vK4wjAeGFCGv08jOLK9kOWKV2D89YZIkWaoc3YRPsd58N+FdyhIK6SPy01H 9bGR6OkRxDaLUCqN1uPcXdU44b0KCrt60eZeLFtrXiD4hyGjPriwdcZE9s0y wwk/Yy4dkc2R6vcxOH6KJMo/j8ZPtiKmpgUKxpP580gOP34iR7odR1RHdf78 MYj/dGJZYzYHF+ZrosKxDbvMqrCj42XIjPSjflGZuH16KtPstsFitB/sHg+k bakZr6hK907ZBXb/3mJl/S3hFDCYGhu9YW0xlDM/DED9QAuM/U8Dui9a8WGE JrcNvIEcu3YM+GbK/0r/QPbMMDaWf5PYfbNjgnchR7+xpcazu87Pl33Bv8HT YfHQjK89dZynbSrCQ/EZY0caM2mKPI3aB3Heku/Y1qkFl8e5cIqtHjd8ny+5 8D4WYSbGjLTvhV6bfLlIUwKr91Y09nRBhMJ/ko8jt0IraTDvNGlC/uIC/Juh xHX04qHNyuhyZAond53M26dW48atQWyPU+GZrUY8c8oETgsX4PZ6Q74dmoOX VT58cFaLq12dqXvciCv3GjCkjyX+a5rEBUVfkTerH4NrrJG1xJsHlRU5I3eZ 5FvbbyzyleP82jaUzMqjp8s2FLr3Y6LFE1xwno1Y6d6nD12NE47rIK89A/t9 ziFAYsrVGbps2BnChzscOPaZspApCICGkROPRNdhystjGHrxAGa+uYZxamO4 u2IR/i1RoHRduN7GC6PvOlN1yxVUajTj3OR78B7QEWXTR6H02RBeHnIDaXKm lC2KF08bFITilVBebV0AnYEuXB00WxTWVMOx0oIVGxNprezBDEM9rjT35I2F c1FwUsrd86I4crKEuhGW3CXArx5HYf8pD//e7Zbu3XJETPeBy+EHYpG/G38+ eorb5/JYKG/CkhOd2D36ElI0EqWdPQoTaoNZ5jYdf7uFYv8UMxbdrEePck3O XmsmzcFisXfqGeQ7SPd9QRF0rqtwpWYu+0xdBaU5r4VfVRBv6MxH/Rpzvm/9 gJ11RjQoy6TZP0PohvRjv2XqPPhMjpFf/Vj1dwaUV73DrE2NqHi0Cf06RcBM sw1prYO4Kui8OLJvDJC4BQGJMcw8PR5+J+2od2o4+KwKVzuEs1t9Hx7c5MKT Q3ryzvIsSVelmeKWJfi+JABLKkbQ9ZC96GwzkHNaCni25gyGp5qxW8fdwivY jVcGKFDn5wRu6D6QmdMOQ9PLkam3P6Bo9CTO0BOSj1WXEJWbhj4hR4Wj2mM8 jCqHXuQW3M59J/L9CjgiphcmbjTkzX+XnHPt4nht9igOtfWmj6kdn/c6I2mJ yeev3WeQm2nIIw+c6Fsrj6fDtgiv1YO54/tAtj/vxGfbZ2HtPBMOHGlGz8ue PHttG5ZXGtFEPomPting2vlMuI73Z0LtKBTGVGChrSz1V+bTAEmc8KI/u9+d LiIN1uH0A2Dywc0YqVCJFPUglKt5sGWri7i7JAOHEs15pY8t7u0RnD8jgSbm 6fQ5E8HaI+ZsarPE+YOFeKfYiGpLNR59H4eSYz6M21mPTDyD081QePlMx/H+ oxhaboSmBlXe+W8Yg78ewqfYcuicrxet0Z2o63UHQQYLxbeC3xiVKMOeZsZc czgF5y+ZcKqtNb0svakyrU641e4SlQtHUD3TSYzy8af8iEEM8puPTedUebJp Mn11rfFj22G8CNZg1yoIO+1g2MrIcEbjfonsd0ce8tbmB9tItqqTFfvBm3o6 lEnuhhlBz9Hb/hmib87HM6c7aF1SggbjTpSNnYD3yVk8OFrCedcG8cLuWN6q n0T35wp0knLqxhcXxe+ra4Sf1NXmx5pCqXMVLpzW4EyHVtxrtIeFVrAwj47n hT5RPHZTg0bvC7iwZJYY7R7NySlzxexxw3g1RJHHxkyHSWlnfM4im2dcQ371 G2GbHCWal2nh1tm9YvLiKIaMH8e/cjdR8emV5PPDfjzx3FrkZffhIjMP1BaP QN7lC6Kj/2juaxJ8O9OalgoqPDU3lSfWxbN0kBfHXTOlrZQ1Fb1lcO1rPEcr DiUq4hB+JoyN213YHL0YxUoTxM8JdjDPbxYSzWnivWo7ru4Ppb77N7EjoA2W cjbcvLIFZt+rsHlDLYYv6Yq1lpmSH9W5rAi55uRXEYS3S0PYS20bPDdeQapv FL4+OSLRtvDgsitz8Hq8nUjtMwThmyew0/AZWFwZiW2PPknOTX6Fjr0n8cga D76NTWZHb0/Imyuz0w8vxN+R4+Kf8zBHdwB6jeyN/JKP0F4ZSYPrfvzwqBtb 5oXSVcOYU65OoWzlZ1zP2SQWjy5DxnNleqVuxrPYEgxqbcJNN2N2dYpknV8s d8fJ02H/NPz41SbRnhvMKUsncpX5Jcy7NZWGxduQrFEC0a6Lj7uH8LrDcLSt HcaEQwZs3v8ef6WcY+wgGP05D8v39BEPDn2GYr+BnFbvJ1ReyLPVZAT/qWrw s2cfNh9x5NOOB5Ds7cN+UcfEEu0SoTxJngpdQrjxTxqvhi5H+KvR/PT1CTzX 6HGPSWeqT7Li3U1SnjtcKyIOT6Rl/nwRea4J25YvRHiMKhdbazPdtp/0vK9K HMtHcXbNFnE5Wo9n93Zj3AtbWB9ulO7QCBb3rUBMgwvLdi0Rj+UEN0cWYams KeyOKzDrTDLYfSY2Oq4QpYfHYbvJSIqZlswuG86HwR0xOTIdsYrGPBkfSdWB DQhwf4tLw+z4aFYOe033pcZ/Vvw5dSS/JajwQ0Cd2LPiLNQkYIN5D74+EY0l O0dQdaopjU3fiYlzx/O5qzXtV6bRafteuB5155B3/Rh5uRM/dBnPWq9PkqK6 5ahc5UbzeZtFyYcgMU3Wh+PWp3HyqkeivLsLY0N6826bJgO3+vBC3jjui2gT JyOk3syz6LCyL+tXX8bgnXqsGiXL6NCxmGPszx8HBolPakF0bipG88OFSNeW 4y+dsSw7oM6MR8m07KdEtYZSdGjoj9S5c6B8eiXaOpWL3VteSfQj/kpM+8+G 0opSOOsFYsPg8ahaO4VpM5c4x93QZpZ/MjN+DaPLdiU6VljxZoMpzwxUYIN1 CETAE9TEGPFW9U+Jget4ngzw4cPJHbmqxohRs18iaXm1iNoxgCmyp9Hp4xg+ OR5MzZ1RcFkfRLftMvg8pkKk2zWiy7vjaLhzGRXmPTm75DMynJKkM+/I1kdr IWaY8Jt1JLd2sqRFRKP4PVgW8Q62MLYbxcJdz7BvaQSPb2zD3/buHFNXSBHe Cyo7BuPbzrcoqYmS/DWbh+Zju5De24uaqsfgLHMa9fYWzJyYxXavMsmgZEeG mS2C4fqNYqacEMpdCsWQ5pdY3WMxGtb04MWxtdAwc2dAYKOo659HtRAb3rXv gKMhTahynS9xzdgvPNLKEOmbwEPnP2OWRzDHzX6MBaFxvHM9jd1PuDGtSZnv A2YjM+AoPicEsuOmvnz61ZqfJiWiW1MhdZp0ufqDM2Mc5DgS2gyuGMVfPtkM q+iMK+s0xI++mvzDUnzw/I1h1wup1SrL2zffiecvJ6LzTMEbX914y8EIdvpR OD8yk4kajszqfQl7nu4QXqeSaHRuAisGFkNtkhN8TLR5tzoSnTv14JarQ7lN tw5ltRMxZ70x93bVYZ3hI1FWrMX0JcM4IvOoWFjZBMelI7jmohuzqvWp7KMi FJW680+pKR825aFq+VP8Kh3Mxv0azH0zDMV9NBle+AtrXKS+sd+DOw++wQZ3 PehuakDj83WYpGnIlFgLrv8BXHY3Z5+Rp+H7VIm3pztw8dW9eNYUShmdND7u X4gu3fpTQbqHRdk7oBYmL5k6ZwjqO7/AuuIOPNP7D8auvAlZMz8ukNigfKeh iDkUwIn/TDnn1zN0HmrK5LqJgoGWjDYcR6NBSVQ8sVayyGUCK8OSmBEXzMBZ yxDf35xaP+RROUeb7lnLJfcyJnFIsx+9343idwV9ls2fSnWzGJ66okoUeLOr 3GExPmW8iP8SKPl4pzvn/utLv7F78GZBf7peD+GsmWoc2bkLv+ZFC7t110Ri UydR4SHFMPkU7pqlTNuSlZIiiyJsfdAZg/KGsSXLmv+9zYXHlF1Y302VC1oj 0KYow25bh1NZ6vg1g53RzawNn54Zircvz0j+LWqVBAaMYsRFRfw40IE1VimM ssnlcfmOvF5ah3MzSvH7+1UU2iVRoVkL8w4Po8lxY0yLGc6S4Zr8PjCPV3ZN oKHU/zoHluHbxVFUbHgL+155jDNS5omix6ioi2FueDbWJ7hxzY5yxBYOYUn1 YZQmjOKBxAncl63BEn03/lc9gOpX32Cv3FGUpY+myYxEYWTpjnbVHzA/XI23 g5W4b0I8badYcPTdIUjYcAwjX43n5/hMfFloz3WqsvwCLai8C6ZdfDZVugzC c+nsBp9KhcLOnjxvNYjyvSeyV/MIzpSLo4eN1AOG/cSRw97U+F2MQ4/N+LtY k0mD8qRcH8NNm21ZN3kobii5wvrhZIzsOg3Lb52FovV4niqI5ltHc0zoYsAO E+KkzG7IL1YSeoSncEVdJzjO6cfziaWIPD2ehsF/UJs2G+P1NZn7Q4+XRkv9 6vcCceegAn/dUWeh91SmOihyylh1PF/sgC3DwmmSIUtJ2hX06pXNU+6HEPs0 Ea91xnO2Wh3MDFvF6ZhnsBsSw7yuazHYIYCz+mvzY898Zn2YzI6nImjSwY0L 9r/GODlr6rxZhaJFukie9QzydgFMf3QNa7RG882fzTi0q06s7G1BWx8T6h/s JgYc8cKfcj86TsvkodoYKr4excTcT3h8bgh7zx4Cr6pmsc9yKVQCPqBPfAQP Z+o5dzyhwEN7XblcRgN3/ipjbedsXvzmwsOuKYx+uBjjakfw5BhlJsiG8rfZ IdT0c+Ezh4WQuadNBf+OnJFkQpnuhrw/MJEtC4N5st6YLvEd6bzGBgFOAtt/ 7Ub4wjBeVWtA/Z0WXO21C3G3bNl1T3e8tA+mx7dAhG3P4ZW+2bi7Yw2WT/Ti Fums9bJVZkriMXR1+gRTc1fWGQ1hjM8gGmq8gr3NNrwpKhfRp4dyQvZg9qma TPXjeszzc2Xvg6N5dH8EAlcpUNLSX4xMXSFh/x2Q+RbKylnObNfdjQ777+OV gyK0H9Wi/89M+OacwwKHXFb2seeJ+Q8QFXgRbZVz8Ol6Ep3emLDUMZ+PDvxC 1tF6YePZmaopOpy0UI4fqruwfY8+d/vEicznL+FZ8xK7onohY0MYO4weRyt/ Tbz71wqlC125K3Iwq/vqc19oCGNWTqJndS/29d0NhQprbmk5LGkwv4INeUac 8NdBDMuNYI5RCtSMJ4k+enZCf/YVrJtizH0nw5jm9gZvU734drMJNj8owfGD 4dyy6i22PpoFrZbtyJNed8wmVfbaYMDyiY+gebYHr3/OQGSol0io1qCW6VrM mD5TdOjhz8wdPbljX7T02TZgbkM75H4/FZ7tnah4trtI1LKhw/fdWLXDmdOu JrHYN5VNnXVFQbIF0zwy+O9mZ56zLsLVlVNIq1kY1a8j7kdH0OGwBnX+7MHu 3xPg9v260N+1FO/Fehho5fPy+c4s3LhHkqEsxyf5+mw/8A/6XQ9gzIP9yPI1 x5R/2fTXDabetjvOh8uK4XdsFiar6nLNQyuGHXRn9hlHaV6rYohkOvLbDTk9 zw85Km8QFtGT24z3wO/7W6jf6kjFPqfQFvoDSwqz8Z/ZZRGwwIORaROYPeIQ htqNEmOTXfhz0j5hsImY4eeLm1+D6OeuQwdNL8rE/BN5faWOPLYOO7T3ik/T p9C1WyTnThvDzgv2IE16j511W9D7YgeuOuLMBZ4J3DJYEeurkvjk5xwMyHmG kYVdGaHWlZdk3klzWRVdTKI52qVIVGx345wBjhzVkAjTgcuxMGsyu/63Vah3 kRONZU+wpDSSy50s8HnSZFq47YJHbRBtihX5VeUA5nmYc+OAT6IqVI2ZZ/6g o+w5FFRMc157WpPRntL5P5HKRabz0DhHlRlGbZLa0jvi5LsLYtnBNsz3WYEO N1/jVJiBlA+7UW5mBkJ0JtA5owd/epoykXq0+nYLxzfdQPcfCSj5+ABvM2vF emlPZaZ3l7xSm8gz2aFIM87gyDNlwtkzhqt8b8H4rTO/PIzny3xNVsqW4PPR eSg1fYELQvpcLn2o7leJIdJsLd91D1vV9dicdUIc2FiJ0EA/LoYMD1/6I8q3 CH68HIauusfgEhQKtS2+1PJzYarTNwxbsQKzFmgifOco+i5O45XFEZK6tMdI TY3lgSuBXO3nwQ0n5WF8L5VnRqRy1N1C9N/lycQ/Qby+PJ2hrQqiX0wC3278 goVNJ9B32wuUn9+OKVnyTJTEYHh7JueeN6LWdDlGtScz5XkNxr+Lof/xJIZm XMaunp1Y61MG1VtP8W/aBJ4+MIl+UXLMDmqRKEevh7qKM/sNsWDCUlsukV+F b9368JlGPx5e5srJW7IxR+YrEt5GMVyasXmtZgySPmteUiPGTv2E8HV1MHaw wvcQ6Vk4rcfuW1ZEkQY17sdJM/C+UF34AMXtq+DyLZKZfWX4oPAzfhw9gDfa C8SCO2ZUWLQHMqoG3PU9ivObMjne1psxnWJ5VMpsxw/YsmSdHfzKzDhHz4zL Vqnw2SiBGXKyHPTMl8miGAVfr2L3xvvYbF8vziaTr8Z60CwrjxfdvmP5RW/J K23yn0sw1Q6P5Am3XOG+zZphKv7IXjgSJ/9GI9J0FzxnJtPBvhNKl7tyd3UQ b0Z0YFTtHTxEV157niSRL+zD2o6boFb7znlYyySeehArKqV5sf9LC3ouMODj h2M493glPJaHSd4v3ozh+lb8XaPOnou0OH16DwQPGsq/BqbseGACFz3TZdbs Dmyu8uaRH7UoaH6Lixd8GVwwkso1wNjZyTy98iluRZ3A9UAvrP0bxLezkmgn ZgjPUQ1IMDdi7LFxbJz7Am46cTwnMx9znzrx/A09Xuk0gtkhazCuIp5HSvX5 Nb4//1wyoUXQCrFzjT7Mkv7D6wV5XHOrCWdPL4DIDcHxV8OxKuMtdE4H4dDJ EZxsex5dT/rzQG0yVikZ8MZrX4SFKVKS8wtXHV3YUGaJ4IaliNuawJFFRpju cw0dbC7CKjOZal+sKAlM4f3nSzB+dCqe3QkXYeu9aXtyBJpr3HmOafQsHcjy y55c3GEJOh8dxsuDMul96J1Q2e7P6/Ee/K/ciqfc3LmndRQW93Bl3vShfBDZ Cy3R5aJD40/0nvII14Z7UqliKOfYXhG5KYPYKf8FzD1aEG3jwPrHu6AcHMfs weEorbBn5AUn1qwXXDDOAPINh5H2zYa35baLf3I21Jq7EBGeE1i99B6CvPtK FuiQ87StGfxxvbC81y501OK5ZLAdw5zfIuV8LOft6UvrgKHU76nKrvtNuKFn OoekvMDLzAIOSU7A7hHhnH1rDebbGrFpnj6PzFJlxxU59LgYBFN3dw5cEwWf x4mc2tuE/gZykpbdT1HXZSzUMz1xrPQGbE08uSRoOfrvieHzFQvE/fZFCIhQ 5X6bJCkvZvCoRgAXffgJp8lSVp6fx3mxmayzzeOUueZcfM2YGw60wmKcCf/5 eMFIfrCYFxFKg++5fLR4IN1m/cTX6fswK/K8GJJyHc/zvYRN0j/c2xogqTmQ g0NS7vHfNFxsDU6gjslIXmvUY7i1LZteGXLLDQf22ptFs68OYv3ddN4YEkiP /5oRpvUeEzYasMv5ac4uqe+dG4pHcePpjoRLGuZI+WtjvDNjazqL99EK/NLc n3cGd+GjHrq8kD8Y2zJnYk/XLD4xt2bH3f9ByEylTWAFrtgoI/y3LHf98Ge3 sjSa/buFwui+3PpsDJQcpc5nlcmnXU6I7IdhYkpkIjurJHHgJV2urzeWbPr7 BU8H/EZbRjxrWws52nUEHq3pj/9i88TArzn899hXbJ/Qnydu3hS3NZfBar4x QyRbMaR/DbKVFqLaRYFbL43mYEVLHh2fwQdSf3sY9AP1G3N5+MMifBY7sVzq psfW9XSepavL4wVyEH6uYphcdx5e/VX0/taZZYtH8ZZ7CqsUPqH62GaYNDkR Q+uhusOH10Z0EI6jtuNktjdcpv0Tu9V9WXtjEPd12gq1eYNZ77EZd7zsULY3 Qsx79lCUXXKCV2EfuPiF0kTzpFgU48thy4Oou6Qc2w8Hi8fW94Tsk1CefuLB oqNFuL1cEwNjjTn2qzqq2i5i4JIHOOATyDuVrbAd15fvPbfh6klzJM7vIT55 KjE+97owe5LF+qu2nJJyXKwZM4VGh87j9JpETjYby4E9fblYMYDH1Uok/X6M obm+ORMydCh7nFiQVgxnuW/QmpLP7PdBPJ66FNey3DjS3o0Tt6fxm+N63Pgh 7U7DHA6ZF82vy3dK/qxVZMdYa0w70Y4ipwno3eURWpdKvc3hqyS6PYGrFe1p 8XAOPIZqS393SWKf8wS7+1rTeeoSpD9W51srD9577sXjZeegZasgfiT05e5G fx6L7ihmzq3Hyi3Deb35twjdnEGL0jB699whNod05YgtvSjRE8za24BtDZEi 0KsTWx8OEa1VH1D2Op93b9sK0y+d+X7kLbH9cibknw3i+92nsHyLrUQj2g/y qwI5foU8a60tIWOmJiat/4YtARtwa9U8ifyk3pLGshbMKalAnmMQHkcVofzk NeFavxkhkX9w5KM8b36Ug9OdUewxW4Y5y++IUMMoHprdjOZh6rQ+lU3LwDk4 XVxAX4kOXbedwNdcFSq07EL9vQzapLXjll4hpz3uCv0ujrwrOwWuhzOkfePO ZQ22VEnrxzmTPHjyYiHVitN5peonarqocs+5TGqa9uErh9WoTO8BtbQi5Fy7 gDv571Azs0oo3QvjhxMh3Gt0R2LtEs7Qr5N4ccMDUeL8EBuv/4dtdUncWjYa +psS6Jf/FpvmNaP7vp24kFcqXOPUietebKjuxpmSXGzMOygQvxpVFtms1GrD 7UPD8TF7KD8/dITnkLVQO2YpDkk7fOXQbkw0uygGTfXk4K3T0XB2CJvXPUXr /Vx+vVaA11EzYXG4O+36HcC+bsFwFU7UrLHD9UhrjpvxAKU6qeJWvqfzp615 zLoUhn4GscjdG8vbMd7c98iOpX0Ef3RTZ+wyTbz4uBFfPZfhqk0/jle14XKH gZjmOpEXMjz4W3MXHphEYMrq68Irpg3JeRK27xrHLvuU2DLDjX1HafHX3Mt4 bV+Hp90N+GCTjhj10QqdblNEZI/g9+j+fLs3kzbllqxSDqb8l+nwO5sBnVsB PDI0i8H/jeaWY/Lc8GAOzBesxbVZE7lzvQPPZTxEwLh6SY97rki31mPuNAsW Se8noMmQg9dOR59kRxy7tBah/RzRGq7LqNwgKv1xo6rtIbivL8SVd0dhYqpA /ahwjr4+CqdUP0LFBzxgncDFQ1Lxzekqbv6L44e2x1CYfRNfhlXCtUc+21K9 KVPSX6zxyZS87+qGVcF5rLIp4DeDv6JzfhB3Z4/D2U0n8fLYAL5erMhpnUw4 P/kLhhRvg8rTNagxr0OV7Wi6tycyZ/47TDm5E+Z+F3FpQgG1LurS/8sEPo64 IRYuWQoljWDmdNPmUu2xNB8yA+N1h4o5G67j/Yvjwj5Hg1Hq7kyJPyWC+6Zj S14N3DxS+XqDMjwKVuH2u2Jh8jyMEzcJ1stno5PUATM1THjNMZaGO/6ITK2N 6JbkiK+pozinoyPt1Z0QeHUaLowL4cxNTzDuQDDaVFScNQo+YZh0N6as2oNb GA/ri/tx8oAF5xctRYKxFc13uYi5voks1/ZnyTtduAy9isOr+7LPqw/Yd9JW eE46iaoULXZqUeaZ3dfF4hmjaPVciwPNq9CxoC8vBRSL4Y//YqCrlciPUxfq j+pRkt+bxZcvYXFhNPeuNsPzJFcEnjOkUv0tob+gB9eH+/LsBXlaH+vNB2tH UfZ0Aqeul2bX/Ln4vmQ0P34cjtfWqqLXSjPIvXmLsM+qDDANwtgNLUhXGMae FoXUq7onJuz8gNnqH8W2YR05XtpXdSVtqJuuhHLH6eLLr1J8a92BeY5WvNU1 DmfULRinpMbSpf8h5WM9TqA/s/WysaH7GYzSkrAubCi/3qlHTkmNZGkfZbEq J5k1Fjns3KrEbg222HzdlVbO+vz8U5+zx3RgRLw0X6yGQTgvwozOc/Fe6nAZ R7pxy7ZHsE1yYR5n4nO4A5vD5Wnkp4R5T4az7+C3YlJQFCZqZfL81EFcV3ET GhN/wt45lg05afyjk85D46dyfp9khsxYhgkqnXG1Xx6HBFZjVXS7+A8qHJbd kRmSvQh+Fs+xa0Kp3FOFWks0+d5+P8arytLiYxuu/ic944kKXL0olTvUAxlh 5ATNPZ2p62jNUQOk7B0Jvq1+JNm9upCN+77h0uJreFsSz2FhrjjzQ3ou24tx tKodmo+9OLtbOAY4rEDTexVs+bNV6D3Ph+INebpbDRQvE4vxt8mKKucS+FPh N3pFZfK+ijrnh3nS9uMBHK3bjxdrmiWxNoP4RurwD8bpM+rBFpx8Yc7Amo3Y eSQeyR308OltLMo79WPVh0pM+65CDXXpjMcP4IXKEVyvnUHvbymsbFkpzu4P 4lqHMKgtfyhcV0TgubU+DFcZsKnLHrQWSZg6xxr2GetF2MZgBq/P4/f2TXAK n0yzekU8l5vKGaFdWfjoBBxyhvBy8mbxQnUiN593pM2OamyaMJQvjEtE7jUf jpjiRLUnblyQ6orvAxWh8yGcRcrXUBGfw+hHFmLnEHs29l0ruaasxVBDoKO/ JZ4X6Eg8FPdj7MrzuFQ5lqs6DOH66BSmRjQj9NcFsTr0nTCdtlGYX/LgZ/mz yLKW8r7mJFqsuogbBd15tK0fXl06IJmuVYkdjrOxozSRincMePrEIjF2B5Di ailUNNK5Z5odzYb+wlQfD3awPiIJ+9IRq196sVefRBzy8ReR7314Yfk/1O2Q 7uk1I+w8rsbm9hMoO2bHwLuBLHrnTdXoELZdkEFKzjw4Ovlj8SEH1sjHIfWo GYs2e3Lt5hL09Ujmd499iDcLgeWdRWL3RQc+WxLCwUuvQuN4IbW1V4hP76tw q/EsVv6143WPCaie4sWQynGsyVmJ2z/i2egrz7WpY7DUbjJvXo6Xvgsf1kyY Qk9jby4000LeZlVqdUvilgGn8ERhLCdNPCP+jspnxX0XPu41gcNWPEPY72OI rgukWYwm197cjdRDMjTaFIqMnRP50dKWlp5nRYN3EC2ubsFw/34suVmNcpcy FE9VZZD2UO5bfQYPfDO41fq+GBBows9D3kjnrh4Hbz5GhUIOf4w5AmEzB3es u1Pvwxg6Bpng3x4FHjlWhInvXBnYa5vkzZCeMO42BgOkTDknPJndov5IjncJ xNPgdJhmN4sP+yoktsHJUge/gk13TTCtNZBGHz5jqtk2jHisBZuCo+jj+ByX J6uIg87+tL6+BCv8TsFTfhjnX74B1RJdrowczdUHklg/dgU2upuy9MYBUbG+ UgxI9Gd319voWd2T6S+nI/6wIw0TzRmWNp4vHh6XlJ7ozZ4XM3kkKoYlSka4 kLsLfjWTqPHalF7vJjFryRDOjjDh4oc5Up+7jEPjDbjXOIvN7zUZv0qDKQ1P kVV8A7VrVGlwSpklcXLM+68XGt+3Ynf7fHQ8l0W50DLEbzbAvScdGPpkFMeW xNJi4CqEKkXC4V8Ezqq/EOFLzPltfzqnDbblhf+OSFb9LMKoFg0eeCbH8V1a sSo/kmdn6rJH5SH0ra9EdNRFvOv7FpMnKTPwnRvNpe629FaVGCEmcMgXVUZN 9GLt+NOwWPVD/JvnxNsFmQy93JM9lcJwyKkJ+p1DeMvgJBwdBtKydwfRPEsL Ky3jaGAcxq3Lr6P71dnYdeMx+rYF0KAlFB3+/5+3tEv4kujAATs7sfCVlE2u jGLCH1cqWK2XBB5rQND4PYiXupr61Xm43u8frr7cKWn+aE7Li/dwNMWERj9z uPHhOvTdHsCRiyN5rbcNuuta88OjZHzo5M/Y04ZsspEw8YElC/PC0KhQhrjA Efz5ZjvU2p/D2LcWi/dmQPWSkpj1oRr/JtnBbkgK284WYcG4YuxVasPNLUPh sHc3DB5Zsv+9aFxRHY0TbxaJsqZCOi1qwxzLNPy4bUFFPytOn+vGjBtxXP7a gUf3fJYcqZ0lJhxahsKjMyXHL7Shy9NpSP/zB1bqZZjwdQCn2t/EvsZxXDbj u3BxOApLutHaw5Beq4346Vc7bB8VQ39rG57N2Y+X96z5wlDCisJ22B28INof JGH+cEX+uhjKYf8F8vmGnfAebIFsG18+viBh6IY49vRJZ5PvJiSe3wJrA1fO 3ldARe+x6NRF3/ln2SHM3mPI5/0b8OX+dOx4NpSu8/X55YwDVI+eQIDCXpzI 9kXZ05di/ZSu/BG2QOy4cxAP5ZwYPcEQh+wz4Dm7TcQrfMb1Z7NEptiAycO+ iyU/1Ihu3diYfh6+pX340FOL8lbyfDSgCFXvB3C6K7nqqQtPuaVyuvMjyfG+ RvxxzUtsDJfOiFoY5045LY5X3cCduXvEIvdCyITvxW0FOzYVGDP3iqNoLF4J vxMBuGM8FhmrN0J9nh42JV+QRP/24XPrfCYtkOfF3EyuiR3DzGIHnr65UGJw /DK+W/XlvxsrUPu4D59esOI6lxRuumGJr9tD+KIpn8WfZPhosKJQm3dCYlpq AM2efyTVPcaytSmBdc9s6OzlKXE1zOfHb/7coSv1uaR0Zncnt0p98OyDLxKH 4QM4wOovUkOyqPFYwl+tG5wrFznz10knjJk+WjxerQPLsHz+el8pREEVlEoj OMVrAkx6dOWHtytw//4E2mv+RoZxJkWO1CPd87ivMJivtozhSun93KnoBzO9 OlFaYkYTr2rRZdh0MTFoHZCQzsWNfszKOQaLr1fR4eosrL09khOP/RXGHuT9 J0H8V2vKje1BVPg6kD/GyjF3sxWe3yKD5J/iXM9oOs10ZRDVxbmqBjFprw3V 9bSI7g9x7l4IF+dF0axDE54dXA2FlXZI6tEVEfJjObzciEExmay6HA4zjOL6 FlcuS9Cib0owfzMYYr460pZpCcWtkfTP6c/opttoufta9O40kN0KlUUJBrPx 4QlR4e6IN8f/4GNEF2Q2ydDKJg25w1T5VzOX9r/k8VPqX0fMXmGQ5Xl0uxlK D/V9+FC+EXWPcqjypS99KmJ5bPJlsXRcsuimNAIuLv0ZPI7ILM+n8wJTOhwz Zn6HXJoNlue39iCcW7IILm3JHFOuAhf1TP6Yo0j/oXLsopYi3bdSMffiB4nS n8viVPET6JUOoXvQZBbKZnHcmJlQLHyPhCIjZA2RpfWBwdgz5zXuvauXds42 9LqTg6sJvpCbWoiGMX9E6i536rQrsYPU8ZoUC7BJdQZ27R7OtSvqUXnzhFCW OqqRdynsGs1pFzsX7V4qvPJJj9+z5sDiSG+M+bfPuWiLBa9IOzTkvjbTDtsy 4sdFSHq4cND4p9BMX4vIkmU4X2XPffnv0drNAI++zBVqx2JYV53Dvjc86B0c x7m9s9k3Qkv8LvRg4jVVJqiU4Y7MLFza8gcDneag06LD6KqbRV2LZDyPL5XE ennxVJcXqDujgDFcjR3hyyXLPnnTu9do6oWm8Jb5N7x5K8+Pzl8lp2RseEaj DTqLDFiy/C2MF8vytKYyx7y8IMYa5NH14XwcH96PrZNaRNfnd0Tr2gS+6HYI D+5KWP/amxen28L2uISTOo8TbWWr8WChEjqWVyDuwGLJAo3eDJNYYMWrSfD/ 9A6d5sujcpQiL1/ojguNw5jjYcXr16aJ5kVF8Cz34A6PMyiu/oQ6jamw3abJ d07+VCp/JQnxHoHGk2nOsqsCuP1FEM/dicSZNdr0CJCw4cAxRE6M5N9lA6l6 PYGePxqh2z2Rd4YtxLizj9ByQ50tY+/AZlcXZmzI5dPgrSj4PJJDj6TDurct zQ/GwCJDW2xcckhU7JU6kU4rmsfL8UpbCDecU+T2u/bQeDdADOmrjt4DMnjT KIi/9c9KtJacFKat97HVS5kNq5sheZ5ObfUDkKkKpOOfydSXfw+v5T0w9vdQ Wv+cgtX7u1CkFovEImuUOxRyLkbw8PTr+H7clnpLDwu/nq7QnhrNdXMHsFf6 dQz4YUxtTRvutv2LMaYhnB7UmZsn9OXlWzrIcdVmZMQ4PtadygEPDXhpqQov h0fxY1AeHUxc+GbvXCy8Mxd3BvfkuRU1aCtQ5fajCrQwrcX9mV+x85kD0m4r UeNLrfiwuAtnTB7JXxkBVI62ZNiZ52hqMWb6vUjuU3mI+MVGdD82AvYKOxFn sElcuJXMpWVj8DeoJ9deiOBI0zXIe18h7h7fDv9DcySdpSzXu+YDfr6px61m AyZueI0pB3oyItefJ/168/fzPsj0mwWtnhG8YppMpz3zsMVqGpK1jHljqy8H /BzKb1LeX+ZmzaKp2pz6JYf/Fi9GeHQaR3qvRMig7wLCjUFfRqP8y29RsSma 1aO8OHrBFJ4KKMKr+GTKuTVjko4f3x9sxEqvGklmuzsVbibyfX979pHRFpW7 L6G/XDXOHX0P+94q+CtvDIV9ElyQcpZfxXas3myNMSp9+LsiVuTfG8vL/zzR 40eZUH1YIEy8Iqm51olny99gbIsDvMUTVOv8Ega31fhpiaDCqgz2GhjHsr76 VLu3RBg+AINXd4NipDpPTj+J/rJJDC55K650Gsqpj1+APq9g3qMSNRPAnSHz 0FZWLpKGp1Jd6hXymlYwSEhhwrUIev9th/12VzYUrXLOGaPP/EESjljRhTk6 +XxWa8y1ohsu1vohKdWCrtPTaZipyI5vguls445Op0ex7kMCR0Q4kO7mvD1z HM/G5+CvoSb1YivhPyOEU7fE8+TVd0K35SK+5NpT1ms85XJrseK8tP81r0jf YSKyt01lhpU/V7/9D80DFuO9rgEV9U/DZdN5zLrzBEoy/6PgvMOpcPswTmTL LDMpozJCIuM8922EkJ2mkSgjI5EQlab28EtDS3traypKKe2hUtLUlPYu73n/ PX+c8Xyf731/Pte5zlFiq2sFYgsieefOaZg19uGCmXG0Hm2DOTMHcFTwEFrf 7MG8krdi+quP0B0VydnHIzhDdzwvuTfD49Un8SVzDdpaTKgQYIj76jGYeEGP RzRfiocXFqBgcR4/BUo4P98Ru1w6Ue6sDrd++IbNVS140u8zbDrXY7KUmywn euDo74uwVgl3b935CWsU7XD0nxXfKRmyr9ZdKI1YhQVj/8D/cHcmuyfAdrIC 6y925OXiTpxldFdsDjJBF5kuTDpgzZ+eQ9llzlr4qvvyzS8lHD0zhO9Xj6Nf SV+uGeqN/OSxVCkIp9fxUrwMVxObW8P5cNAwWNRlU37vKG5YY86ePlNp9CGE f1U1qe+fJHoum8K3w28iuT2cl5d048cjazB4cxc61Y3n6G79WHV5K77JvJR8 qzBkinEyu8x057MVC7FmfQxuDNZl1co56NxlKNV8fGm/oT+/xMnw5cuR3D9X hWGnRnDdyDKoyQ7jJ+WZCPAfyGZIM6r0J/bJd6ehpypnnHqG1coTuVPWlMuK X4mWT89x7fNqJH/eJakwnQLLO1psbnag05suDFI8j0W27gx0H80i5/HEnLni 7xE5Du+dQw3X6biX2oJHNyfzyIALKFGVYUheOAe8SqNWj3NipvFfvDGtxbyB qvzpOxmFflE8sPurGL0givVds7m1lxyjd/+D2v1Jkto0a0Su7EWNr/HI/lPI YRf8GdIQihHvstBtqwPVasczv8mS+y/egdXGRowfZcmtJ2S5vNYZ8Z11xOq8 LC7/ok2r1+5Qoz0v6IWJVQG/sct+CCMLJnCCg4RLF1rgt0mbmN9/EqtfjqKW zlS2LBjP+B8tGO6Tx525f6D79x4ayk4j3GqKWPnLgOtmOfBtNtj9XzEsczpw TKIio4OcKZk6RaztksNNQoP222oQ63MFfXRr3NYX9mHMotlIaO/KebcTmOPn yUKXWyIv4jVGHI2nDdLp9zGWl1LB1rsDue5EG25wOh6/8OVc6ewmFSajxru3 CPT/idjZTcgqD2DR/XJ4xUbTeMx69N3ni3PtHYXa/MX4NPQamu5aYuHSMKZa BiBw+1fk/YrCjMtW/K6exB41M5AkP4wWJr25pqsbrradhvPaZJSM8OSXur60 i/oFFZVcTjs7glt9bfj3+BSu3ZDIxmePsMtKmuNe+fzzoDMXnH0r7isGcMj8 uZKxGk1QC5yGhzuzcLtYwvWH9TiwQxeGfy2F0dlcRA3owtK1z5G0YAyv7nOj /Bsj1vUM4BHtChzu0epu5jyW3dp7YlGvSdSPk6PfgRYRefkbEnMMOPrObXRI KOTHyDT6m/7F4q2zhZVNIUWoOqKmGHPbtJ649zgBsk5hTNTLZNd5OvTP02fr 9WiefTRBeOp3YPvuycwf6MsOSzrzk6ozR2alM+C9OoY1xfG/neaITV6Hru+n IcQwnq1bZOh82IWJG4rRuS2VpyPuiemeEs663QpL/e3ixvVA1m8bx1OxpjhR EoGd8pUoGFePE6N2Seo90jjhygRmeDRjdoklbUvC+erUZJadNuXSC3+wZsB1 7IlQkebwYPqeCmDe5J7sXZmI4k2/Md35jBh0/A7+eXcX/x5fQf4VQ6JPPdqG 29MjN5j5kiXYvCUQY6Ne40OWG1XKWuDVYT6GdtJl7pVTWPr5lwhRqRdW7pqc JP8ZF56OZZK4jNnHD0k2V5wXNfVHIdu8AO7Ss3kTksuSef8kKXucWZsuUHal H1J/TmGOXjXqNm5F0rm97o16Q6l3yJr/zI25Oi+H3h4JNH6lRvdrPamcrsKM LyosifiNHh9iedhWnqmf8hhyvQdV1U2xonU439kG87T0DHQqs5iwOgLuB/Pp q+PEubPaxcPhkTwyN48VX2yZaD+O/aeFoSx7LM8VlEB5jTO9J8dJOU+bPvWF vDwrDk5LdyBivxPlNIyZ2dqA90MU2NNymfjyj9x1xIAn76qKLqGHUd8pg8qV Ckh3ziRHXMSld+1wjUql0p7HeLRcgfsmn8PK3x/x6kwMnr9X4JvVeVT6ZCEe eodBYZcy7xloscr7Isoca0Xx6FuIMLyFebHv0Gf1SnH25lSEL80WN4IbJQ6N 6Tz/8i+CWg8J1xUP8aDjP1Ge34sv14dAopOIpDWNmJGyGteSFcTE8Vuwc4MH X5whOWkJCjKMuSqnHWW2Y3koph6H489LilYFc6VxDQwTSsWopkpRWn9C6Jzt yPLdQtzMTqOndRoHGu9A5ThHxg6zYsH4eOTIDcfOaBtcskjk0DdLMMForJhu vUys2JqJZYXe+Do8nD75zTB/eAYrX4/it9taLOsgw9q8XZLHCdVCZZozfxys xoOvAzmwey427Y6jT+c7sDeYyoA3wXD7esX9nfN8cVcjkhcbI2g59QE+9z2L /m9DGeP3AdV1hlyfugsdPXT4cWIhb92KxtrFAxhrYMhXCyRwHj0PaVNG8vvU eajvnsHmH/n4Ez8Pox9IxLTuED0fpDL3ZQbzx84Rx71ieTRDm8/rpyGq92as lJNjzc9IrGsczNzEToit3i1sh/xAw5f90FnyBNWrFbnOTAMvf51EvrSPJw9I 5pUVY2mZd0+y9vgv/DdyGrr/l0yFCG2kyHjRRG+re8SQyZg96xfUrtrwaU0b XKfnM8Pak0knV2LKEF+Mk7pOn5/afNIsz83dj2Jd79FiU2EshXQeqU0f0Wd4 HR6MHMJB9pvw8BFFa3IdDnUywBHbIVy6K5ONO1MYnvYfFNZbYHtZNNXyJdwR fE4MXRrPrSVWDHz7FbmdxrFosDx2zt+FWL0H6G40lg0zityPm+dQVc6e0/5o 0vzVe3Ts/869tft2NLaacolys/u6/ePZz7YLp2i9wMFxQxl41IsBzTaU624O 09VavHrfgOXJ5Lg7u7Amx5TPi7dhhJUrz05ug8HvInwcs0h4fgPGTwngmVod 6eOD+dRiMyK07dgSP4bzDRIZM6MEXQPSoOhxCd+91NkeHMP/vA/B0TANW+fF Endc8fXbEOpUfcUsLT+6/TDlsTIfmJQJPjIvwVTXrhyjPwAPw2ugaDdJfFuw AFmPj8OxqifPdvLj3SE6fG8iy9psY846D+7dPow90/PptHKmeO8nj+Otq7Dc bTbmltQJ+zUroBcRinshnph/rB0jNoB3R02lstZkbP3alxVFPzDy8Ei+Dwln 5eGZwvqK9P6l/YEy+7H1djYnLJ/I41cCudKgHC8fbZbsjp+MsS7roFCTD80i GV5e+BT3VIfjcMw7dJ5uw5gHDtS6aybOVHdlp5XdUZXjjYoe0ZK1S6S5fvUf +lUE4aNuiySuw3F8LuqLPfPU6LX9mXQ3xjL0VwH1rAslLdf9+UT8wfDd6/DL bgI1uiWzt/9oTrOx4M47CVx4ZDoOJY3ELps0OuvIc9HUV+LHMhNebLPnas3V UEtJ56H8SGqdDxaDJn0WvxpvYUBrEe68L0X72ykcmv9GTL2ZzD8jbrsP3fAS XW+/wYL1fZivPhjNBb7so5hDk5J0aGR9gpirzO+66zG1LoHzrvbm3C/jcOyn L1e93yIJvtmZUQe1eHl7L5rN/IiXGkFM3NaHbwLyeHPUVaj55/BDQDo3rYtg vzHzsVvywm1Avhq1s7wYskvw5eFSyborfXjCojuLHY8jUT+NV1smsd0smK80 isRMh7FsXL8Fejaq3NuZGKjhjxErRzD/7BLsWxtM+bX/IbLqEIwH2XLR1gx6 B2TS+/llkdg0kvdshlOv0IWTjXS5b0QWBg89gF9Lpot0ld6s3KLLb11XixVP daidU4Lai1EY9uIyYs4MEPvnJ7oPutuKlX0Gc/m/ALoN84f/vhj2vp4krrn7 cr1cLSQzV2O42RJMhiJTFw6E4dx4REzvyx9JM5BWkcRgrSrJb5dhXP/cD8+C O7I5RZfLnitxqfp2bCox4/7SfOp/GMwvTWN5bLw7FPttkwxbm4Xn9rMQOugz 9iulYEaJAdaUDmHhU2Us+TKaKZn9+aKbH/bsjOP0E09QXLlaGI9qQWGuBVsW dRbdPtjSukMjTu3P54oNreLaeV2mnSwS6T8vYqpCiSj7NpQpdWrUDJiJ99c8 MG9hAL+lOXGNsgbfmAyj3LJryDTvxP3lntxjM4DaL+bh+WM91qffxfstjXCl HZvPCQYq1YnuH9NoMO09fhbPgu6nHSJi1zTR5prCBZUGPLqzC1M+LxSSmb2p rblEhG3RxESvHM4wTULjiPfivvUaDLNVpLZGESZ5WvN5t+fuz4blY9GbTN6a H4xTXR6i84MAnj6lT31fJxo1SrumtkaMCTTm+o2OnHd5lhg5uC+fLujCvQ8y GfTUjXOMMnmsqwtX/V4q2WK9U7zdcBanv4biuUk6+50fL/7r/VFsN0jmFMvV 4oTIER+6yXHvKBn2by7C9l5T8MiiHJu+DMfr3Hn4rFiGW3Vj2enSd3Sd0oSy sdEMcHDi0ZCx1CsawXfjC6A9YT5KvSPYY44i9Cu7cljJEJ69S+6YX4pRXsas PzoNWxRlcXCpO9ecFQzY6MCDjcnItKiBzcjRLNlSjAuK1+F67x7CDz3A8pbh Ev2318W2fqNRsTxd0s1uNoZHDofdbm/8d38tbv0sgaOvFs/lhnNdy0Cpz2bj RPFJtG59LX74myBbzpuxFbPwITKMD+7roupWOmfd2YelW0bwRPYBfEhxZanq XKGvGY35uwrYp1aeMv3CeczhJk7vnYY+Z4y4/rcp1bwnMPVpd+Z18+LUdZ35 5vsKbA7KQa78AGw2/oPxaXE4aJXE/gu7Myd8OkzOnIGtcxT1vJPILQ5Cptdw JoY0w/GsB0vS5qBtrBlPNVShx0dP1nt05QS30UzLDuG7y5qUeCVzTqUba4zm wCPFhxPmyEjMq/8TAz5twaNvpuzg4chU/QK29LgLufQVeOUkyztemZymk03V oUPRf2ctNP1y2WkemNpnKDQLSsWq03KoP+DPze/7s2x3gNBWjhVz/1pjr+YP ISm35tbrcjzja0T7qnA2T5TjFPd7eGrfJK6cfYAJfZx50uw1NLLz8cTmOVap LsakC7HcZHkAd7eEccLJz7B4msWBCv054VQYt0RFctpqT86rAUOK3qJtUCJX hOnz99DeTFqbDZOKx5j9YRRqreuR/1uBJ1KV2PX1feHrP5lF6MPvCyJZeFWR X/RXYv7Nifyn6E/H7yUI2akoXir14NS8BPrLVIveD7TE2dPWDInJ5cE5Ayim nUXTNwX2GJTitnnHTDQ+y6bzb0Nhf6pM8tTpODQd9gq70CRsmFkBD+dVYsPO f9C5fx0vl2QzMy+PtZfC2fT9Iy5dnsgeieb83CjPo96yHNTVmz9KM5m9Wp7X kgN4otUDZx54sMsXF25f8BYlRXY8uL2jdEciIOOuz1NPhmD9igZsCuvD0DFx iIttF70d/Xh4cIVk1lQrNmn5UGISzHVPD2JSShyd2kcLs4yOCJR1YdFXWzbf viV6vlZjBzdfLJf/hqf3lei48xTwogxWMvOQMb4BV2tt2SuxCMeU/Pjfp++i c6cqvKkOYa3PTGF6pBfnLYum/txu4nDhDFw8cBu3G1Zj2SzpXcICYVD5G4Mz jGDLMeJdmTZb8qNo5ilLqxF9cO7OfhgaSlCp3w0df8SwpH0u9PbYUXFLPPze /8DjgnS0aZ9B2c0OTO0M9m11E31qOmK4djgfKHny0U1Fnhw0GjcGyfC/kw/x 9ckgdntqwKF93Fme0Y/vnx4W828vQtVmXxqnHsVsadd+qAqj/vdJLP1VyAn9 v2GZcx+8fTlduH6PhmabFd8+yceUxHL3VxbxvNYxj62uY9l+UI5HsveJpprr OPVRsP2rBTcY3kBlVARXeShTZ1tHKu4rhbew4S6Tq2Lry8XQ/v4MGiOsKBIj uEiEcd9iNyZHTuUkoSla7MbT047cUBXETz2/Cq1H0ZIbzRHcV2GFO0dd2L+4 IzNNj+BzrSafpQzig+AvcLihyG9H+/L9celzbSzgifv9ESfXhXy6GVaG3jTv qIw3OovQv8qA63Vf4oy3Hgwd3Nhp0yMRX78dBo+U2GCXLmWCSfjeO5fOowJZ EZBDnV82/Pn3F4oK9HjiTGcWRtRLDGdoiNeu2az+0irkzh/GyXBT+h7qhk+d 4nln7CNs7LJDkq6STOXbO2EyVp7+/+ci6V1tvxCIqHZLKk3qwmilbL5qPCTZ 8teVry9cg+5JoONNH0bI6bHWMAYfe5VhybtQjjgZxPVTunCNoTMt13XHTJcT EKr7cNd4BS6fD6J3og1v7JsP2aR4Xp/QHxsu9cYGw2ze/5nA6r/BIi3ag8ky X7B6fCYrkutxzvoJws4GMHJ5CLtu7SimqewRs3WS6B7RjSmpx/Dlpz7zJr0Q U3stw/ra77he9E7MVz+NX3q9OXGXGf18juBLyQtcWCHP9dq7kDRQlvk+Dphb GIbz7Cw5V3wX44+mMOPEXdzJt6LKVi/JgylJ6Lo9kLJnG/A7V4kHxkWwJDAU XX4vkzya3Jmy3VOoYpsnHu8czY3GpQiYnS7GNVoh8MMHMUw658b9vyBrFsWF Q2Sok34KbnmeDPgUQfMrDXho/ATONZrYr27JxzU9sUNlpLixSB3numhx2M5d 4qRkCAcf34ogOU/x4V44X/WbIzl1PY/j3aZyUIdVGLfJk6YPK1D/ohy/76oy 4rOGkKieg+GXJqin+3C1z0DOHzmUR7ZlYqPWIEaZ+PGf0mSWjbamzLGJNFlu zKoTP6S8XoTzLoM4JzCQdeP/Iem0Fp+O9kPfAh/OHpfMf0eOCdUNrxBhNolP 5Ta6H1N96HbJ8pLQGXkNFz7689aF09D33IFnN7sIlfIiFNtWofpwE2qKpvDf aQemX8tkr4/9ee2eNz6IEBYfcuR0Ic/VLrHsfvQGVrz15u28blx9viutNkLy 61s3ftI14753QXQqsRD6Dzrwp/0SkbVRFjVd9aSMshVH27bC5kMG7z08hIE9 t0luOz1E5dupROtR1OVM4iP1s6Jg6V3Mv57B9/3OY+Sp57h0uBpvZQfzmJop p6p4M3xYNtXezXQdmmVLq8kPRExRLaINdPBkhyVlldeLgcZPJapHn8Hqzm5x RX8L/HpYoMnvgzAavA2jCxVFc8l9XHL7gsI1+XD30mPCVk+eOB7EgnPWjDUz gvKdZBQUTMC8zGIUag2j1ynpPVo9jitLHBgVfhk3Z+djjkwk3+6NolLSCozu 90qU98/gYbNJmDGzv8CDK7j06Qn8xy2EnHkC5VbrUTFLhqYn6tw/rLfDPrMy 6K43xd3dL1GomcTy6IPQre2IDIueHL/Ukoa/+lD+2QRm9otj5xFJzPh3H4t3 bIRnph2jlzlwtoz0c/rdxeVzRxCmbcTz6hJ0UzyMZ6c2AlJHvDdzAGfqnUF5 SSUss+SwoVwLE89FQCX3soi+dwFa3S+gi30mF7XPwsic76jSWigGpsrR7M1Y 7svuxP66+2EzfCEWyxuw4lRPuBz5jXnbOtHgli/7fs+hhcEClLo7C4m6J/9o v8W6FyuxojwBD0PSqeuewIhOERya4k/L7mdE1Zq54nYTaPBVlX3GjeGtDC1J /+xWRGZ4UGnKVGC/NdY9N+e6XE1JkI0zB/ZoQ5VcKypMa2DXn/z+3ykh992H E+umcM2GZK5dFM0zW9y4/L8ryNl7DQcaLbm0yU6MLtPir5Xawq5TNYLVb0nM eo3hmy+pkl3dDZhvY8Ozz9vFVJmrmLta2n21aow81Z2TKybzWMloeK/4JdZU PxHLGgv4ZawGx+3bKbZajeLam1+Qp5Uhwkr98LD8hrjd2pND3k/g65dpnDpM hcqP7KhgH8GgRypUqo2DlcolbO7jxvBnezHndx7C72oy83I+l6hqUdNxCL9U X0JkWyi3ZKlwj21XOlY7idLBA9lp60qJzopcpmx0Y8eHXdhoE4RNf9aKkCwl us/Wx/HfIylvUgavGxuxR3UuSuSTkT92AQ5HDOPvxVHclDOZmS/OwbmL1E3f zhUnds2CatVNbIjTRcG6xVBMmy5xnlWNCVUVcOqlyhy7JI7LHc3KZTKcO9CR nefkssg9kVplafwveDArbYMwYac+e9yWsvjYAi6syOO5Ngtec61G5dQVaCwI pO4Yiif6r9BpbSYdy93F/tpmOKxI5KtX3+An6Yq2kGj6tdkxVzUXlaXHoGir wuWZY7hHTYNrxt7Hw7IdomOpK2Xua7Fp8DfUvkoTrY7XcMX1JzhJm1EZ/nyv fgo9Zsqx/mQgjd9GsnzpQI7Lm8ALcV8lJ9aN4bsO0diwvyeZV4XFa+5i+t7J 0F4Vw9ZzDci114HSgmfY6GWAlrWPcflCCB/v7ipWDQyS1Gan0MM0ioolo1jq 3AF6lnMlo3JTcKGpH2ND9cSb6Bu40CmfBlXy/LmzGQoWO9CwKIvLh5rz/KbP aDqVyFV9vkPoWFJywB/qCaslBY/H8WlJApRCe1PU92RxygcUG/Zje6sR7ri3 gfGb0aE8ik/6zBL2ffVZmm5BpbiubNe6LTk/QJYPa2eJN2+k89hzDJeMH+NV uZ4YZ+rCba0e4vW5FpyrDIJydhli5INYt38pdg4eIWXdakQPBv8tl3JDqC+O me8Uv7fHcP/63pydqMB165U4wTpKMls/h8Ijkhf/C0SP4E8Iz+rAjvPeSaKe bkf1lmBetLyDByu1qSbWSjQDPLmrrhssvG+gSjuJTVn1yPaMYmPSeBpMHs8s LzDpiAdlN6Xyuvoc+FZ15rsJbqz6YCuqSkL5sPwHOiYYINa7J1Pmu1FmWxYH 1P2Ahu1NeG3bhQNBaiyQurB84zDWddClvEszjE5akWIYv0eYcVD0QF73GErn nTXY5dKDn8cOEFFV4LEJShw9pAvmSRl5kO9JOBZa0LenG9sfuaC2/p+bz8Ru 1Ph2EPLRGxDRoyP3/xC8f0+JoUPzOWN/Ih8vtuUlzYl82DwA9aq+qPm7CjK1 gyH3ZwSnYz5qmoPE7ppudDsfLe3dQg5xKEeqSSA37dWkppUZlWL7MmmGOhTc rOjn5EPHGfpQVgvjeOP+nKkzUdgNUea7bmew8L4fNIfLMOGrIbcuyeL9tfEY KEnl2a4qlDjYc6PnNlg9T+SLdl0eS81hpW53NmhXi1V2+SyW9UPFJy98+DUL vr90yRUyPNaWyh8j+zJCdyS96vqxwz1D3hyjwWtfw/j5rorU68fzv63xNDhm jQW/dqFYUZ4x6e40m30Cg/tnMavpJ3plKyGkWJmTf1gwLXMg92Y70nBPIse0 eVA5YSc+Pl+C1JF1boajvMWBuQn8c2uQ1F/iGdhWgeKF+iwa9kY8NRTU/6fI 5VWRMKrzYrv03p1IH8zd8g1C4bUNd8R/xdT7G/BzrzE3lquyf6kDTw+IZrbJ RCrEBdB//Ri6KLhzYRUQZViNujHHkdj4WhKVXIjl67P5vHW+OK96HEWuE/n9 VLnw7fRA5N83QY6rLw85rYPRcTVyXw6PWG6Gzjsdjji8GcWDO1H96H00TbOh 59NUbnuXTctFUj58NoXb07rRfEgCh8zpx9Pr1uPSB3l0ON6A1yeqxayF3vxP qIIJCvyzIwm+ozyQuM2e9RlWREwEJh85BDUzdXQdbMuCUBfO3hXIWr1CPgxN EIM8XqO/URbnvmvFqMJC8UjnO6BwWLgftqSuzG3xu0mD7t+1RNlLO5bH7MZi yxg+3L5YUqHcGWelzmflJCcxdvLjd2U1pLf6MX79c5zRMee+RC1EPc8WZzLT +UkSTa+upjz6rUyypaoXbx434+P3f4VJJ1/+LHKmyVpjvp1rTr0+nlg8M5Et PX9hwvx4aG+Sg4PDUTFojuC4gip8chiCettXaFVxxybbt9jjIseEox2xe6sj HStvwvrbXxGU3YOFHmNZOjFQNK3szAtbjNmquQO7X2hjlXUMHVdoYV7lKXyd ls+56W48hlQMbFBk/9gbiLANpt/CNE765o6s3QHceLaLePTYk+Y3Ihlk8Q7X Oh5ExtoEnr8Sy/fjvsHgpSE8X2ewcXd3zrKqRfghqUtXRYuCyAHMizHn/fvd abI9lwpuPRmS2IiLTX2x+Yo/O3f2ZN7zEgzxGcJTpiNROWAVdn9Np9yHbQgd vRBTeulg4fcsGi4TXOxfJjm1Thtlp115of4W/i10FKZydgxa8ED0j5ThzqRy HM/tz4UPWmEn58UegaqMGTVFmM/ahLfTm/Fwjxl9J/XjrXOqvDBzmLC++wpD ip4i5o8V168eQaU+SQxYthgruj5ARf9Cjn+wC1Ymc8WB9yp0HunNBtUJCMts Qjf3KvFuqzoHbtqLhX3JeapHRZ28KgdfSmaXkb6QHX4djfsGIGGRLe4cSKRb swWuLWoXG9u6YnRaO8KNzKnZchi9U7T4fNUYViY/QKxDgWhJ8UHMUVdelR0j nD9vhpZrqVhTPJz+fh+FY/ErPK8owxPbMH7pMJCBew7h6482BNS6SRwvr5d0 u5DOq8N3oevZP1ixeQw3RyrTut6FKssm8mfYaMkxVWtRtTuMhYanUXSqJ5sm HYXC0mUwqE3i3N/23DShCG2hHrwvzdoHZVUSc0tNPu25AE5LT8Nqfm/WtvhC rXo8ZdapYsxVXa79ZkGd2nBazl8PT7ckHmjTo7H9YOofbsDeslp8vhHIo+G3 xGlleTr1HsrFvglwsx1Is0HduTNbjl9TL+Kyggn3PO2Bmuzj2H3UiUGKt/Gk hz/lnlsyc6O0U9IXYPUnX05Xz8R/h7tgn+sauM8bz6MZS9E8qUk4HprAjvlX MGS5hHHFXvhm3x3PviUw8tAfyF7vgmcl3bGn+a9EMb0Sw3z/YLu017Qfk23N l9BQqMropomMdnPnzManUI32FJ4aNXg2d4PYd9uAqeH2nPrdgvXPO9HZ1Aox mV5UO7tGXAt04MR7//9+bq77s7AUprTJ4NmPczjmkslxwacli5ZuhG+gP9va M6lue1n0urcJhkMeovdxe4m1cSjne/8UW65MRc/fvlzxPYxns7qzq5KZEEqT mBzwAd92ZPPW94OS8vOFjPrjRUOjQj5am4CNRsfhbtwm1vdbAPvR5Xj0ugVa /0bBxiuIavIdWFGUIBnwYwTT9inzasdWPLWegK15g0XS0CBWT1iH3Y/9RZcN zhxUv0uM23QFf/9G0rtSnlpJozDriwyDbvjDx00JMxdGc2C6H689nsqYqTth +O8aTq/L4j/FwezaYMYSg0xOvOrMR7qt2P+8D1Pm+TL5RRZVpjdguGIXen2p xpiH/ThhndTZY9TZFmrEScWnxF/POtwILEbx+0IOn3dV2Fs/QY6lFVZ9JPr1 2Cn6RxhwWbM+K0bLo2ffJThefR6uSnrUXnJMBM2N46YZM3D8+BZUy47hOVM9 DIuN5buCfDZnuXGf1JNfjXegRQd/ivyHuP9MhWuLonih2oObcBL+btfx7LUE O4/05W/pZ68L7kTWfIHNWTUukR9CHYNEoRU/BxyYxo1T4pin2YvVnhbcceww Ts9KZf2rCTxWLcNRh7y4uM6fNebNSG4/JnxccxHwJojNY+JwSCjz4yZfhvhm ig51o7i0QIWJmlL3MRnEBqf+XDZzLBtCPwqFPaYM62/NYfKJ/DpVjs+NFiOv 1IBT0wLgOuycWBKcQMz9gSGha+F3Po8bJrkwv9yIL+XV6HsacG6YAIdPSlzX lMpvFam07f1ORG+Qo+tfJVa77YCdxUBUzghmuv19rFZTo+fJ2dDVy+O++BGk XQXO1K0V+Yd0sfLlaDYe6MNt2tJcPThbzFecLrH9+Aon7Z9BBB9A+e5zqLxe wDFWWjzro4fMKQPZGjKG/jvkOW7bNyQGuXD8pYGMHTJTMjGyAztZDZBYf09k c4Umj8YtEZnW2dBzfA9s34zn7gP5+/d6uP9xYJXVZD45lMuze49ht9pgPt40 hfesnNi33Y6Pf93EIWlmztf8Bhfq8lmJGweuSeWBLq5MfNOI1VZVEEWxCJGJ 4kQ1W65unMhRThbcV7EQh1ILaLokAd12/oaSniyNMvWpf7cD5u2vlfy8ocjb Lwowc8N77F9/Cl0G9+GeIgPuPVqEWu1ABKd6QPHQZVF54SIcGnw5tkckjdpy qHlUjaueFzCnxywxRcuc9f21+HCQEQu2adM/+Luo+WyAHdtzMNZFVpj9+A7l C2psKXiNsp42zOqvwgYVeRp7dKbRHRleNUlheq9s/pTKlcngGryXi+NNo0Zk tHRkRZoNwyyGsXSFNG8uH0dsWyBnXW+W3NrjKLKWj+CQGH+mRu3FuzPLcLNA BgddbfhvbCrCdthg6N4nGJdkjJ16NXDGQAbo2bNf0kdxQ+rATVYHJOP/ZvPv thQ6ddDmoEfjGbayL1VOmDNwazS2rzHH/OQI/BjjgEUjR1FhUjs66F3FvuNp WPfyKJKyE7koz4rv6yyoPS2bK4MXSTpctebmSnvcyK+UqISMZoLObclFpY0Y +UGVHh/aoPFVie0NfThohSEPGQfy8sOH2Norh+t2XsFpqWtSV8Jjk+7AMqgP 4+SniBTVMuSFWGHPEj22ZspymPVdMbjpsXjYM5VtGfHiuvoT3LVZgrrKDwi7 WcBX167iR8tHkexcJJofuUp7yBs6jQdRf3E0ujUosKYsm3MraxFiGsbfDzVh olTI41q6nPvXWmxrH8uQq45sD1BBx6qLsNv/FbctczE8tRtjjDaIWcVbsfev Jz/4glseRrJxsgaO2Kvi/Z9R9NH14YMeA0U/JVN2SFdlqMNsFGSMo9WlACRM 3IOOLzSY1fYR8lL3N1PVpoYI5MUD47BhhTcX73ESdR3j+eOjEp/5n0Tf1nXI LdXjy8vDOXHGScw1CGD9pSRcN5Jj4HbysNILcWlkDJWjpjKxSpqBU1S4s9SF OsuC6JPnggNH5BiX34xrW/zoNOiHaM7pwTe3NmPj9qXQyzslfPz2igdJkfh5 eAW+zbmAa2YrkKN1SUQMTYC/7wg+9dJkyk15rt8XwwPM5L+1w/ndTotDH+uw v9w73I1wQEyOjntikxWTXVLgdG4oj0zpR4vpi9ExKYBv7pqL4/UCj7SfYUbF cD4yOIHO0R245IEQ9vu1WM6RyL8kx8d2A/gqRpsHvKrE11ercMBeha1d5aFc 6Ihv8wYz0aA33C+48PjYpzinrM7a/r34MzGSR+9pcXh+PHJmhPKT8hZsiv6H EbF7UGZMJp2Nos/3JF68tQn/adnRp2qzWKbThsTQfKrcyOHjY/vx/MpUhipq UlZRHZmPN4oRIzYj6og/N2hcxusnP6FuuwNzG8dRd3EUQ/bfgePmSsQkPILn DQnak9Zi+vrBbDtjB52TCuLapCw2nNXhKFEsDlwpxmPpjpf/UGZZRD/xZmMH 2qpFc71ejnjWux+em8ezxcWMNXt1qPzjKY6V62D6WX3q+aix4ZU379upI35K N35ZbMJwF3fu0evC8YFP3G/FDOfvrBWIfHEJ7X5y/LFGgzd+ejJAYykUc59J Xj9UEEieixqRQp2bZizuq8k+h77hVeNgGJ94j8+H2jFksC3yjPWw6Od+dMh9 6r5mz0TmGztQS8ovauppXPpHjYPkruGQbKlo1ZEy/LwVAk+MpGcJ3Fgk5bxS Re41fAGjOa+QLqoQKAmGodlaOCjEcl5yP6TOt2Ke8RFkfp3IXrcykFixCCHL FouExcG8Y+rECcMV2XuSOSvemfL6kiYsPZnOxdeV8fHSbbFO0YcqbR24f5YH zzp15qZLHrzSc4I4YjOOEzJ6cc9OW7yKlPCfrwXvfNmBod0t6F9hwZe/wK5W 4xn6agR/xOry0FtTbivdLHx6TkPrRk2abLbgmMoCuL4UqPvvqEjx68K/riX4 uL0rxr//jadhcux5zJEf18hAt/9SHNzowBDdV4iaskKMevALM53JKxopfCxT hnHrjiBhrz/PrfGAzfBA7h67ERt/nRNp/uOgqtKNFiPsOMVDlz1fyKJnl3Nw LgtARcYm7Bo6UUyZk0vj7Vel3dONpcdUqK5lwdmuMnC7M5Brkwex/d4HRJYt RGiHCmxuU+A0k40ia/1DaD2dQufRSeTyQAbc2YIt8zLZWzePC75fwK+7f1A5 IRV6L2PxVX0MZxzzYuEYqc/1+oOYFnf6dDmFD1Wd0arUg5kyMvQ5nS/pa65N 1Zl/EDz1AHQxkbdjpvDk4GC+XTaGbm5xlM9ai/6LImCz2Js/89N5pEs8jd4M xip1J6b7d+XozrHcr3ZKRN3tiNon0nu0XMqHd/qjzuknJga64sepDaI1KIBK L8M5rpsuYr0ms0XjDT5vj2Oh/GzsUM1hy7MPQhQnM2GAErcse4nGvmuwbYkp c9Y6M2Z5Z57s1JG+w9S4ojGfPUO/SnJPlmPk6EViwGtjPn96SFJk/1TsuH5b fD8+nsNdLkM9fSzliwfQ6dMpicrJWjRf8OCIZ03ofq8KLl+VqV2aix9Z/mL5 3Vi8+anG3fYD8DlwP9LnrXZ/Oy6SuytKse69LouHhPGarTeHXX+Ozo8H0MK+ J++UODPf7h2iZVOx2HsNsjSLkXayM4NuZjLmfA1GHfZi9aBMKsbU4XnDWFFu pkrj2k0I2+TCz6MKcCjakzlm+7H9Z7uwbxOs+a7P+dNcETHRGgH3UlnTZaYk U+c49l6Zi+h7iux5cjSDtx8Xi/uao26ZPOrMN+LUyZEStRm+GBPnwQdXd0k5 +B2KPv7Dl3INOuZPxn+nHLn/rh+cX1fj8MIr0P3Sl/u2TOZtTSMOa/SkgmcY 334pEe0bj2C6vTy9retw+dF0rOk3ks2HdkFz2kWJRk9X/uvzHKnqV9C8eYsk vGs5/lScR8IRQw5tWCO21oVwgaoy1sxJ5RVMZsLIFsxvL+T+VBee1GzBbsUC Fk/4h/9eZePhUi9UNLkyJroUv+vaxKcD6RysNJH3rerwdKsyH9w2Y53UAzsY pUszz0YYIY23LPoy8oyUY/r4MCPSn5d8h9Cv8zwc/eTGUteV+Hknjb3DNOnc YQi26Zlwqks7Tn3oyxnpCnS/PRsPjxxHo6EMPyZ9F0uKI2B8Lht7V/rAtToC Ie65PJc4iUmdTwktvMLazM6Mf+2FCy+msOB3IO/1s2Lq8N/Yt0WXTd0N2S0+ nIP2f0OZ+kRk6W9Bj3mTxT3PLK5vjhMHskZxUE9zftnfEyYnizG7fZk4LL8T 6oM34NdNFfqsdETzjR/YtnYUvi+Uo828R+43ZyrwYr0dv/1dJe4PS2Ph4Wxc ThmKbWEazFgxkn8GdeXwa5U4pN6dJ8N68YX9HtSU53L1iQS+3BrOFDt5ybKB MdQfocO6IRE86bZG2F8cisFWc8XD73exVleXnz7/E7O/HcXHPiP55pEyNy44 IzSGj2NJ0yv4mSjz8FJ7LD1lgWP6o/ly2v9/fyHNkwkLoXnTRKRLvbpz+DBG 3vuKho4hbFLyx8DAczD8c1ocn6zB2cZFeOY1iBx/QNJX7TWKTGLpcu4yzp7J Z/bHdVD/mIbifuF0CPbng82rkfiyCf5vvPFKbgRbtgeh2+BazHJtRuD9+/Dp P5IpYeqQVwgULW37MNahGM+y25Bm/RQT3yaxYuc9iWduJq9umyGJDOsBycZ7 +PVUHS9itdBhd0eeHlCNTv/lY/sqbdpWmtJrmbGweRvL7pfTeTF+kvvKKYm8 rTWZd0PiRVDXNSi84cO4Q6O5+7oNe9GPg37JsbuTJi2+vBAv/p3Crwm9+Vtz LF+7GTHsxSoMKB0M35Az2NvLlz2aozn0TQELVy/FsIbudJe+36A+5syKiKBW 3yhqxOXTf68D163TY1yne2KKsw1/LZvmHtrgwtHPxtGmTxd+G2EqnUUIR6w1 k6ge0aX2+z70HCJl7GBjnK1+Lc5uy8M6jZdw6mshZl3oxcOejpw+Jwcu61Zi zw3w/oRe3PDQlFbRBbw+SpfxslpUO+zElRtGsaxaXRid24N/y18Dx4eKoIUS PlyxXrLFyldUva4W2nce41+6Lp3nC3YacA4WH3Kw5OxunPe1RVCcLTvZfYDt 1654pUAadW6F7bRPyPj+CXPmD4LnuFy+1FoKjx2XoPO6DI82zMPsaSnMa3oI n4Hp1L0Ygl2vT+Otlg2Fcgscoyyw+ORwjLW9hWWXUrgnQ44HY9qEwuWl6H47 gjJr5SmqDuJvpgMbeo9kiOsOXDafCzOTc7g0sx4jzgdz4NJctIYY8KH7D/xW v4/uP6vwuWWocPn7FB4KL9Ex2ZlTI1dKDEbOQKWHDUYMPYSlq1+K3ka9ud4+ EDv0LKkeexGFFmSvhJ4MPivh19hiXFgbx5aeSgx0DqW0XbGjsQJ3Jkm97sw4 3onbhAWpFugyZgemi3waRxxC+okHkPg/hHmSNWfU9mL5V+ncPswX0cfHMVdR YIbxPXj1foKqMUp8lZHB+K1uvBHsKTmnqMbQW/GU/1qO/X0fwf55ISylvLNx Qxtm+6zD9zwlavs5su1QFmY12SNsfQ2+h2+Hzt9szOxryaOLRtB2lRbvSKI5 2NCOIwdvx9bIexjpUCSKfvejQ+I2/L2tAOf5Q7i24r5oMD2IGZ8Ww9orknJb pdmwqj/3dYzjsVmhHDndHKOPfMDajYfgPCWUhRdfu/+z6QXXdgUONO7DUpMw msgehEG/VeJ8cxKWST0z3jODCk98uK/Uhnr3c7ndsw1FrR4Mcq9HxuwO1NR4 LWqkc7t4+yJWXOpEuWfvRf6ueTALbkH2FVk2ni9gSrUyrnz5gAkjDuDiil/Y tDSSt78ZSwafrEFN3kWx9e8RJG+Sw7l31Vh+aBIea8SJNc/qRHBfeVZa+PLY W0fJartUcdN8MLe1Teb2c9uwwiCBf6ufIvTID3gMikeajxPeDVXl8nRzLIAd xp6ayox20jRmn9gzdCobOrfhU0sptjmNh7tHplji24SGpH8o9zmGLVK/Dypp RO6JQWxKtUfiDukO511D+TIpS/d+icqdxehwwIDhGmWSoTXXYGfcg9FT5Gm/ oAu3HqsX96d3xNb/OovwEbL0dDSn+e9zGLId7LNLge+GTMbicXIs/TCZ91aV YPuSWTjULPjgmBktWt14X6MXezkGcUdkCSRfdbjE31SoG5ZJph8dglWuI7g3 zZsDSkIwdPcq3Kp6jPM9O9JEK4g2OUGYrxLJ+pcySN+kyZ5SfzL+fgqNp+bC ZpgGn/0z4tIOcRzwKZehBycz/vIDDJvmLULVRvLYxc6snp4HFwtbTml5iSd6 cUhbK+X4Yd8xo3S1aKmZgxDLKHw0s+V6qWO9/9citJ7OQLDDRWyMiefFmd54 ZOdFS4kae5V40X6cOeXO1YKD5Nn6nxmWftbkA3Utjlz5xu1DAnhRcS3uvush yuPG8aRsEC8le7F8ViFlNLXZMMEE2qETeNhuCm8p+3JOj2s4ULkDpq4prDP1 FnI+8bTNiOWZjEXw9sjkuzBF8f53OcYrLEJjlBs/z5HydputcDhwE9P6FjAo 3oY3rl+Fpl84Z+kHcGzaOxhv16Zr1zD0n/ZXzFVK58r1DvzV9AP9X80WIboO rJTuWeHRQI761Y+3tivQT8qebl1v4sTX28jJd2HKHTlujHqGXm3TYbU5iSMe 1uNLRz3YyI/H55eu8Hk1ig1PvFi/sg2eDkb88iSdyb2SuOCfM1pXhUHTuD9d svtgyWNjdp4+C1vaZMUT81Cm9RvDDofcYN6rkBazrTG/bDvGySQxWFefzvLH kbytBtKCp/nGQLarX0f9vlk4lTsHPkdkEST1/Xl14NstAxl2sgdiTyTyol4I j9op01PKlrU+Sfhc+Ut0almN2o/WnG3Vlcv257LkziN88+3C6LUfEOrckR9e LkLWogtih08vFmRvFgcKZZjWtRcj818hQ8aSv97q8HiXzhyFzSLaRxuV0elc uKIzi8uH0azvdlxv2yKSfcNot3cjnl8YSW2PIPb+uwAS5+HkgZ487nERCSMl 7KrTjmOdDTH5/FG3L+ftaH1XmwtH9aLMyHzsq3Hhei0jmu76Cm3HKD7VIJVn rsHNkan4rKsPdZtrGDH5O462d6P1DjsqR49n7zEfRPbDL27VNZGsnisrGhzV UbHnCDZKneTW+TB2WHQb+zJ00HdRAdsvF0CrxV+M7ZSOq6cTqD//FMY/S+Ay C0+MKdmLhckXROfDwdy8VZGOkna3vgEW7P7FDnPnHka4SQQNDUbRvH0vxIVk BEX2Z9JnbXwdugVJUw4i72NH8e65Ckvl/BAQNZA/4i5AQ38iPa5ukjQW34Py l1E8UDOErY0pXL7ouLjv4IS3KUHIOWDM++6ydMrbjjmD9kh39qr7qmXSftif xkTnOPaeL2HRzhxIcm/jRfgkyj3QounzMrQec2bf7r1ovjeVkZErsGCMHQ5u keNO/Um0vPUXycsEBzqrcFPDGTRIHGix4R5OLAjibl0LNi5OQ5/eQ2AW+xAt Y6qxzOoWXs1QgZVlCdz1jZkR9xnnjkWw+awnDpzUx6TXMXi8L5fuimXQVNiI ee/34mSv4/A+sQJqxueRfN0WFwbpMFXOizMjj2DHZ+KG3wtUb2qTZrIVXkwx hVltHi/4TObJ17qSbcMf4PTvFJZeMWDw+EMixCWG18+cg2KDu3t3A38u7DOA 49O3SyYd7sFT9+XYqyGcbcc+YLf2GtGwtQXxIVP4cexZBKr1Z41tKMs9/gr1 //+/9C1j/pKe4QO7S+i3wBATJ5mI/StPIHqXJn+M+ozrT9O45NMhsf3peP7u mM0KtTR6/1Dl4YJPOH8xg507j6FpbDNWFawX4XcHMGruUsmRS9WifI0CrU1f YELyYuwo0uWz3FVYOT2HGi5mlCsIgEfcE4T80xYXVGIlJiqyXCYSWFLak7NX zBZrJ/xGfGQ5CueM4b97m7BxZQpjFbaJdY9H8/rSnsw4sRAdOh3HOScXdjus BuO/jny9PRuqFQcAyQax6Zf0NZOSuDzCh8sqnPnLP5cri0LojUCE2hlC75c1 FV9ec9/kNAeydVaMPm+J1K0DOLd8vpg51JHai8Mpq96H69rSOfevGi0jC7jU QJHWqyXcWGiD4V/lSB8/dGkN5uqgdHZdPFFsW+3KHss+wvHWagxzMuLhugaM lu3OD/nhnHNQke5Z/6Gi/wF3GR0VvrFO4bfQdI7cEM5uV62h6mTPCC8Pagel 49ntJMzqfhsZk1ehzIyUa+zHwsxJnDPcCS3y0XT89RVKtaHc3q0HPw/YI3H1 1uaRp1bcf6EZzft0sWx7IaN6kb8mPUKx3mnhvHEmhjsbMXe/JS8UW/KWzAL0 kg3gokkj2Dbrj2hyj2So5lF45oznjdVpXJn+Fo6p3kzd2Y2aqVmM++LIDcaH MHWlwErl9Tg3sRqx7fZow0D+trXgoxYH/ix15MbVPgy4IUuv+84MvqJMzbhI fsmpFb3TezKyxJFrDyXx+lUDib+VqduvajduejJfrN+Vx7nNJ3FWZzi1rgbj 6Z1IXihKoXK3DtxjFc/DKmfxZIExzkh5W/HqHrE0Sp1+A7RFSIO7CNJI5+5V tvRuTOKP5z1YER/Pr67X8HyrE6Pe5HHyMlda9A2gXfBkGrlM5aizIyTP+g7A 1bUKPLvJmh9H67PXoXmi+kk9VnXuJKpdu7N1bzSubgmihcF1zMiU+pn9DSxu XuI+YfF/4oRJEE0CyiHzvDdXvTyAVctbhM4WGY66OI7z5XvzolJvIa0OZsoF c+hed66Z04s+H87Dcrwyj7mcxLJlDujo/E2SdlCTSidLsTUhjWbB58TyGR5U 8s7igxNmmPVSi+hXwNQuTiyjA7QlJtzUu5A3f8vx3n0vpr2UcF03WY6t9OOG BD/+Wfobh+c24cXeM/hWuRuhar7MutYkbFqnIW7XSF498wpm9ckU1jEIu2uJ A5bDmHk8nS8WJfPv/zg477ic3v+PN6xo0FI0VCLaWtR9vV5Fe0ilIaVdmhqk aFjZexRCZK8iGdlkbwp9smVGtmx+9/f3/7kfj+vc1/V+vZ7Px+Ocs+yNJEj7 tlMX11wGHUvh6RwLnvlVirZz11FfME1iO9uZpgsd6f/jnmg9HyccSx1ocCec /z3siuHvs2l3zpmnx5I74q0ZktsK2z5RVO/WILRaNVmqfAWBR7pQv20tDmg4 cJKRCiPNj2Puqcu4OmY4lSach9YIdfasJB87a9NZZSS/DXTikFPDWXfbiy9/ PMa8z6+wvWgSOjTl0mLeevTbXQrLoZF0TfsuqhOCJGnbt4mIxiHc/Gc29i08 LsZYh0s7wodnhqrxkdpieEZaMfZPTz5pjmXh/EJu2ZPJcocpku3BcRiQswjB Xa2YNvo1OlSAJ+Z8F10HLXbcHaTBwjoDPum/S7QFS1ni4zlEvdLl33m9+Ph+ PDM/v8bloptw0Z2Ccco96Btsyw3vQ5lTYC0O/t2EbmUSyp84ICqfzxQZ8e9w R3Mijw6bgZIswqR/PLtf3I6767ZCx9OWdo6zRGB0BnMcZsBxfgwfqjvigM9C LD3Qhw+jgyjfLou2xeo8eSSDbfVgwrFu6I80/h6ozR+7SyW6+Igz6xrQXJhG Kykz7fgRhGlDdmFd9XnJ8uE2XG4hywi77eJMjTeDHDUxfFlvphQ/wKDXUna+ 2Ye61+fAPqI702ftgIp8i1j36wU6TEnijsX2VBm/DXY+VmxdnkePmp9CzbcA 9rN9OdY9h7njF+HSqmQqbCkT6l5ukllJcmzZJO2EP8W8XXYLBausqf79MY7G 5WE1y3He+CeeTrFmasI06Gz0R+IYXVa7+HJFSDyvy/0VG0Yp88Lm/0SHoy+h UCUjGbXYgSdm2dFvxFUkXLyDhXqDsNf5Hy7KV+DVejcmKT2SSHZF8UBkADPO jGFh2AIsCGnF2Dhbbnw1G99O+LL8qind9OaL81qvxC3TvQitsqTh6Z3i7rn7 mCo3Fn9qZVETaMyWUk2mmssyzmEqrN70xYWkEVT2eYm1/rrktyK2vOzGI0et aDbMD5081fks9w684k5JAnsqU1/2JjodN2HuyiD+9fuAhVYRPN1NhWEHLmDd 37dCv7YbNyyuxUKFXkjs+0cs/5DB049GUWvzeMka9XK8114iPuRmcXFRIU1D G6ERM4wtjmvwZPM/aHdVxsx6Z4Z1G07Jthuo983j08pr4lRULv/b1Sw+T96G S06VKHwaxMJjURx614ymYSvh0q83O2xeJxmp5MOjbX9EQN9B4mxsIQuiTuPx 10GwV9Gi2cQITvncKqlQXSXM5gayanoq+/UP4gCfR1i2MI7/jJSF9pI+XHFe naeKPdgozZ1N39Xw8noIrl/3obJyIifqPYehhi8TbpWgQeUORm3ZCb+lcnyZ rsc1y1Sxd+od/LxRxPOTdjmp73enc+hqke49F81LgyQe6QF462qN1131OPB+ Aj1nxtJ/cge6yP+HG3/zeLlyFx7Wd2Tbnf1IOGfF+52tuGJjIH/OyaLi3Y3o cCpFRJ8yoPFbFfb7dRRmS/JQFZvCiLhWnOvqyuqEYRLjpn5MGNCVnY3eiSxv dx6wvyRGxD3GxClqYqDiRpSqPoB6dH+RN3wgFZal44HTaVysHQD8jueExiA6 vHKnxnIbfm0Op2LmFRwsb4CLxXecvRzJp6fHc1ORC4alr8F/r09BxjyDb0dp c+itQgy+Wyka5sdx0L9xPBGxEX+Kc6BkZM1LLtrUj5Rmx6wB7MDTOJUUhZOQ JTQ/wL+kSlw5ex3zpzyBy6wiGuzZizfjpc631AB7PcZxkEwc1kUk0emeG49P 7CMUJDGi9+aeVLbrxdqbKpxv9Ag8tw6yw9356HIHtnfuxW/ZhuJmuT1LT8Vx 1wIH7kzqzfRnVShP8Od2Yy2q37dgSX4Hnn+Sxd9VnWHsbQaf1AKaNm5B/pax 9L/3Fms2KjLthBsHbKuA35fJnGFQxKbMdP44b03zX4JbD93BqjhDXlGREc7L bbFEPYMpX105XacKjv9NwcUsOe4t7ce2raNp+PUbWmIqRHSSIjMeZPHNOSOM 3zeSUy4fELk/9VEovff8rdGs1rqNeR934F9xMT899JRc6nADent7ojbAn/nP LDntnixnTfbEfyp5tKr1xAOdRUio6si76+7i1PGe+JhpwZVIxdqTi3HmWiF9 zxETSoZyS19X5Ec24HbceTH4zBO8+tOHLd10WbptCEYt6sTClycd9zyoh/zc MYzcbk93w4vYofwIbrrtsO+mzGmPdyB901wRMdqC8d9luMvUiW460p4YfAfx EysgEIjSxAS4vxmMRab96VvfX3JtQTaPtnQXHYeswgz1arFlRws2tTQIowZ7 cedXf1oersP29hlwLj6I40UBvD2imPoLXaHhrImcOx4YrN2FhQPqsfmEPk30 bfnP1JO7cuYiW18O09adQe6g3dC0oHijq8l93ltF9MFG3L42gcuPXMcxq5dI Sr8Cw8FudBvzHcc3eXLl5An8d/0UxjbEcqKhBg+GjMIcy+HsalCHe3fmYmBd IsfcGcwRT9K4850qD3VQoJqBE6+euCR+fyrg5qye2K+Ww8diBC55HcevUelw jzTj1LtynLm+mB/lrqH1kBmX79GHxrIsRostaI06L365hzHP2J9P6m9AWXEY o3OyOfSkJZR0G8Xwvz1gGaIn+kQ8wA3pvb5b7cOku8swKDSTwQsCODXqDr4v tKDO3VgWTEukd9N5MaqqHLNidol/WuPpntyRJ9bJ0X+xDW9ryMMwL4dLvsiw /WOeuHbPiquWSGdRXMb+giI+XXVZmoHFvPLOHbnyFnzfuBgX+BDNFb3oMrU7 T4V15C85OeqZe/F04h7J5C2O4kK3f2LfpArcu6rO4435dM78gZvPr6PQ45WI +HUa8xyOo/rpZ7G+fBoigj87Dj+VRMneXly1sTevvfBiWZ0HV1Y1Y1HsTXz5 24pqV22yIZC2tleEcWCdqH74v/fHH+NB7ld835fCnzUxKN9sylW/MrhC/iI6 OV7HwJU2PCLNyexVbRhVlcLF2b35t20yL2WNodynE+L08yj+O92MVW/v43xX L+7sZUGLdxEYo3QK81MUaDOvH8fpjafbJAvatntSJpusSJjAPJHI2GGf0LXr GqfflsGscevCxXsiuDMzmfPHp/HRjGUor4yGkWYk57nZsvj7EKY+MkDTkpfi Y/1RLJtlwY+zRhE2TzDHKJ+OoXUIfSNd16PxfGgSR/8lijSLHs6K9OFs3F6B DFVXtp8XbJrUg1oufdEwtzOq5bRonOrLW+/78ts7CQ/cfikSYq1g8aEZEk1w Tb/veDvqOOpbnsN/njn/jhvAZFt1tPiHsuy4JX/lRzAsfgL90YV6odmcPNaM aXnrcMMikhm74xnx8qvQdG0TtQmpvBm7HJO8BnDRMy2UTVgmPofaYe99MvRi o4jb781jR+U5feoTYOBh0d8rno0uP1AUHE/nHFV6+KiKakUbzsuvxd4uCzDu RkdePDaUU6cGsbptA16peTkGP0vl0hW7EaM7kK1Fg+j3FRj1+oTYbGzKlbd0 +f1VNBDhyhMKz9FpyXnRr1SN5SvmYeOMIl6aYUndRk1GJ6kx1cCd/TcdQGZl DlNzbNkeriAyIo4IhQcPRLlVIV9ouMG3gyK7FYTw6sou2PXMDX4d5ogEczVW XDkhwudYs/qdLft90REphwzYWpPHgsAtsPhtIK7UdeRAKz36rpB2dk2j8O9Z grb5aVxz9g82fwxksGsZSo6GsW11DP+e7oBnMppwXCrDzNmNoil7JK9tLhHL MvXg8KsnP87UgePsRhxuMeE776GccMlYLPWy5oYRKZyoq85hB5fg/IEy0fAo TTg+OCtlIHvKfvNm9YUKjHk7HPq3PHjyRwq5x4WqPeLo0N2Q63rZ0NC7DV+m 6gutuFmiabQBb6xuRWa2qcg86cj7eTMgF7gR0TUr0d7aGQplAyj5J+G3/mP5 rIOV2DPBRgyx8ZccLndEwdmJPGHwWGQ7yXDy6yVItfKkYmUyRz55iD7aEiha u7DfmaHcMekVOpSWwKhShrs19+PuvGgGlqRxbpdEXqgbwoe3BoktcbpQvdmX R1/WQmWhPP/9+YKlrRPE59y1IrL6NtJ6rUf3mj2YlhfGXmuHwfBtJId0j8Bc banjf9wr1r/VEea3fUX57ngEpK9F6sosLj22RGLp/QrXVixA0yHBMQ0LxC7F 32J17QC+NfcTcz79lSgY9oKlurVQPpmIo37qnBIfRY8L59DRRBvHYlV4qWAY cz5OhZfTcachuQH80ZLOLh9ykSwXRtpVY+DPAiq8jGIP00yehBajyqLZspIs LjZm8BMHOEy7ANN5Q1FV44cBSfWSDY1FdJg/jAoP3ERfu75MPzuKqa9uY6Rz LqtX5nJnpRoHPhQ073VcNEz9hlsTL2LwBH1hqzWYmsY2dFotx5KhN9CyaDcO xj8UL39N5I4dZjg9O5WdC4cw7N04xrx4Jqps4pgrE8P6KndxZG0vrmEOXVzT Jfk+96TdMRXxOqrs3JTBdqM0pm91Zp8nEl4cbsyxIoJnD7Rh16Vhwmi+N6y6 9Eaphy87xUfwyCbyZklvXr+bSL1O/vxhtBZRcf8g4/YJ+XNkELLqkrh+4pOk 4dgn9GmazG8+XWAw2gAt5R9h/y6Ol8f1xDotE6guPYxZu2JZ9GsgEzYHYE9c Mit3j+ByxddIUXMSHatmwHduFidf9ufyK0psjLAYXHtYjqcVu/OlohcNDr/C pzR3yYhJ67BXpx9fGoRR+fY91L1uhuXwGLZOqoFXRQAz5W0oO8wIr2WtefDf JMY9OoVOWftRNEWHz7ZXIiJtCMp3DufWEl9anH8gZap8ll8vx0v7EYww9Wd6 35OYVuXOKrsybPAcCbXZ30VZB30u1XdkrjRTLe6vQvfiz5gWFwS3FQq81LMr P2/Q4ONwBzy6dx85u6QOPKtdBD5040tplo0buQIPfS6j4+d8qo69BOU6RwQ+ VRaWyeegszaSgwf/lAzxsELtpHRefpIvWRFcCN1D2tQ848a+G1RwwWOf2N3V nLVGT1DxxpVTH4zi3iVNeHH5lvCy8Zb6oaUw3d+Rh2o68eflIHZvk2fMcTkm G6TS8oM8TkQb8uvv36J0WAm+ytajfGUVzPeUwem/i9i6zIx5XTrxRGgYR/yO wIGRTqzr9B31PfVYstETL+Z7YGZNf7YYZ7PXZ10GtTZjanQqmx46MjTpsOhh ayfmOm0XIZPXQrPCh2KVBkPbO3GU3HmcjnRlmbMMt3YJYk7rUawrGc14uQz8 N92fW4pSqbelL/NXjcPzO0egZnQPMX4SNHb1YB8vTfS1D+GF1hJx8dJc1AVo 03V6DkJ1gvhfzBoM8XHg6S5ZDJ2+EDL3qiRz3gxmdXQIHQKMuKd7EBzGnMHw tXMh+9SVC69EUaPCnM8PTuC9qSa0HaFCp/CXWBgymm8ScslwVUYcyaZm2Wks WngDbeGd2Ts2k+HaVthwqBRN2nVYP90TiRo3RexlFc6b9k6077+Ki1EH4Kj+ Bi9Ck1jVwwmP5ethc+A+7hj24zrDSdxxZCBLPWaJC632fHTXhlm6Vmw71QcF 24r56Es3do3WY/OTcvHyTQC2mrtxj18pDKdUIvThb3T4ew4l1YH0Wz9JVPt5 06rsDIbFOXLGyghUW3fl90cR+HD9J/zqLPjCM4jnXFRYmdgXKZWGHC6/DKpT 3VBR8Qop5WYMdbNm7NnjkqxPB8VTs958UhjOjQd1uMNMhy/r7ahzpS83Po+h ow0RIz9ceJqrc+LWL6ja1I1rRmqzJjNQoiQ9t7c0knkp/ayY0LEE/n0rEHLt Hh77DKLGub04mJrFdp0w5ht68VL4JWzZc0L0aK7FBcM0dr6Tzm+p4+nas1nS c+sbKGxV5fuu8Ux0yZX6zVjOL47j9T2h3F2yCfO9vVCklMec6/I4dW8y+59O hGbsIWlvfoe8XgGtvi/Dhq9b0GWINp/1TeXlMnC8Tm9k2QUItd2TOHNyDls6 1SA2thHvjw3h0qXefLJdwpAJskzcOYnfkw9CY9wIfujmhuTb9ryzIx3mc+I5 /8t4DvroyNrbxWKUqTVme4aLnXdC+WV0CXKO3MTomJloMMngga19qHK3JxtW uAqjZ84c7dSOKa4+VDnzRuTlFbJt7CQunX8Jsuaa/E9Gk6fbvRhi581Ee3BQ VhoNX8pwxXBvHlrlL1m3sx4bd2azfeFMvLhoiff9DVmSasSggv9QZDEf2xdf wYnDukIuqxwzFuZScfdPyUo7E45pVuFYH2WOsB1M7/IgKXM+ceqyJpLmB+U5 ptSY+0pUuH/+CGoMycZgGzmaxZtywK0hfP89n0nlC3A4bgeGfVoO250PoBY/ DfN+NWJB0AyJw5MAOtVsFskX2nC+rBm2+uoM9DMRWRk1omyUAjcci+ePI85s kc7YJv2hiPszD3vTzsH9tSrCz+rzvUd/Pggz4AFFK3aN+gL948txMrwLp1zI xfhXPtheFcHfX3rDyTUSdrUyPJjxFL0nBLJaqR72sddhLu1GtelFfH3lOTSW 9udf2RYc/zMCc/wnomCsLLPtTaB8ZS36q3Xns5z+NJigCJ0Pw6hsvwRKlh8R U7EJT19nsbudMyN8g0S96kiqlgQxeJ4+Y9TUeGH1UJqLP8JuiQlnbR3FaZpP RLqpGp+6uNPeI4wDUt6I9t3Z4qpOCk/XncHTAaYMrk3FEfXhbP13BJ085uFP Ywwt1w+j7foK3LK8j6/BHogfqsjmykPw32HKfyYfMeDNBSRrKKPjcW94eyvx 1G9w0/U2iXHKBnjeqUHClyKq7ogW6sf82GOJLWwf53PLT3vOULOlx/qb2L8g Bn2K+7B9ThYdChyRd2ojniz7gHMaz6BW68pl303R2mUiY/oMR1XbNij22A/d l9VQ1FRD3kkTph+ZyE5nh+Oq5UncurcS3ysm86meH9c89eDZC1rYtSeThQVm zDk8Cj1OxjAwrV48TvHl3K+uNHDYjeo9enTY64FExyPwNu7CloiZ+KAawlPB g9kwMIsf1A4iIeIXNrwLo2Hn+3i314j3/slxQ/9Y7vy9A/H9Ytkyt1GsX/4F CyKcqXRJid16fUPWhxnYYPFNUmR2BWX70uEqTiFMaQD3HtmOwHhHjj9wUlTf L8W9EfZ8sSif6zo1w84hnWFaVqJm0GjWf+zEEU1X8bODLP1uprPXChNerToK WSU5Ri+xZPqxDryp5y8GbAqim8sxRL41o+OoApYHTkb/Z6Ox2D6CEzaG8fzQ Afw8zgjvnnTijZRxHDXjPIaN0ZKs3bwRSsvDUN5ln+j7QZZ9+srTVDKcB3av xGG5I/h4ORbT1JzY3OBE1cIiRn+QzsLJY3DQ68pYS30GTALr7X0lI4ZYUj0l WtRIuWNXRTL2/KfDkqgbkq9G/uw7LIBbxvXj88pgunXPl3bkQZEzJIH2N5Yi /5+eiPHYJDk2SJb+2eOZ8ECWG+dLmaDLALq79WV238W4ne0guXavL0+lR6Du 0xP8HrsasQvO4/6vdmx+Npxtb/pQL0pZjH65FU55o2kyz5uBWCS2m8Wx/l84 O/38TxTWXBO3tHQ56EMcJ98opPn+Pzi5oRbbaxslBlmjGDzkH05651K+RgZH ro0Ws/dcwSELM+6WXQuV+FyOK03l7h/A2MJaVJta8os4BL0OwVDt50dlJWu+ HedK+aNt0HHsTWFsI0ryNbjJM4HzC28gwHcS84p60MnjNO4oDaPGlH5i/oYc +q3Wo2msPjXbw2HpbSdeanTlwEkleP5zNzbuLuIM/Y+SgHdrxKy1tcjfaCpp +KTMN5pjJTWj3XDf8CtmpVSLeTOewMzgkKT+XGfs/pXC3G9jeHv6YjS3OSOo bzj59gqGbpqFqLmGdPyijHEWKnz4Vh5TB1kxcu9LRGXG4sWHjdAdlcEv7sn4 sH8DvlYWMy3egscCMvjHD/QyacbsQbYYNn8QlSHDoqXD2KmmkIfKu4Bz+nD5 o+E8saEzJwZ9xxCNkTj6e794vz6Jho9uQTNDnxUfDKk1YD+mTUnnz7ORtP11 TmKr+xeG/+WL6Dpdahr4cmD3DMr+DsfUfk2IvRiKXdsSEVrXgxGhEVyeXcyn D2yYskGX9+sKOEf3I4pHb4SW/1Ca2VkjbudAKt1rwFmxBe+1Q3FfLZOJWwv5 ftsELjB5DBdtM5RwKK+NjeYyPSO66Hvx5/rdyF05GylSv9QI70hN2zSapIKR g/zY6dVUDF5gL9KXOLAi1Iq39C4PmWvbhX8nrcKBJ8PZfjKTI98MFjkzLor7 01Jw2tiQV/J34l+qNCdXxfHk0QDe2OXAG1ZBjOkmgbWrKaPCjPl4ARni5YHu PU4Jc69i7vq7WEQFf4feNrB7T0N2kc1iecw2KO/vyQML4hl0O4K2H7LY7chy nLn2EcM770KHo3lU97Bk04tH2LAimB4r++F6eB8W+/WERa0PjacZMW+QGZ23 zodciy0X9BrNOptQLt5py+M69Wja4oiHCkWcWR/IM4f6s0dtLdSSx0r9aw6y vnbghBmd+fplIOVPadMmdSlmbfdhUVATRjotFYahU3CtJoJicSeJ8jtVvjmY zvR2LT7fGoEV87vxy68iOHybhtKrAs0RBrQ8ugK578xQuP8EhLESZ1SXouP+ OMbqK7FTbJ3YvsyeYYddoXTIENkaGQzTD6H3mFqxvWMnPv64A9fd1uK1/FC2 /h3PBukZi5HTofe+XXiachmSyd343GsUM4+cRfjoPzCdKXUMjzE8ekKHncRQ ybkPG4WFjzabvYO4Os2Esw33YHOfFfhwYYI0v2QxtmEqCgxj2LFkOGdW9OH9 V9ehYiTLJZP/ID/Ekzvm5ePN5YGsvUmaGeTywK7JHFpqyk03bSCTr8DoyEp8 XFWD8VrPhX1GIwyPDKZ/BxvO3TwO9X7Z4siNOeLA3r+wKTgnnbHhbJjWj9M2 yODHhmCMW6tOz0maLOvfm2VJ3ii+4cDAbwV8fOkCamd483j3VvhGyvOYoyvz 2y+LOdpF1Hb+g5HfuvOQ83HxX/5Ekby/N5USe7K9wwR0t/Gj4oJP0LAIRR+/ cbDqUCWWX7KitkIEfb1dWKK5ElP6HcIWP2X8/TsXyRN7Yrp1L355HMimlVow /DGa+lsFsx9a8MHHBuG05itC8rPYZcpTfPJZIcpuWODrnQkslzWl2lk93rql Ki5k+LOmSomea41QFxrHY4NboX/HjRs9+jFl1ENxqkSTTnf7MFxNm4YfLoj6 c2qIPaADGbmu2Fh3RbSvbkXEia7UzM5j78fv8FCrgE2lyXSLlces25FUKu7B U2pHoPhNhk/3FLBj1gfRjWOxptqOBya6snjmT5ilGWHYOmtsu2xJx03rkf7i DYIdwLpiqcv+U6XSl+OYecWJpX4bkZs7mXWRxvxbZMOvPXR5daUDz157jEYz QxomefJMpqekZacfb8QGY1XWNPg+Wg/xvQ4bI2WpcLGT1Jn24OcvNWYqNyDO eYd45h7O0tosLL2dxJ5HboBDlyPhtROeydrx5+poHtvgg5s+ZcL4XJGImjQX yz6N5mH7jij0kqeCw0mhtsSWKTaj+fpsB2b0HsHT3ax432kAn2UeESt7qogr kQ2Sb5/asS5vBMtNcrhyeRQtF6xDF+1AnlzwWkz9NoB6tf2hPl6em8LXY6Ty C8nN8VsQXiDY2vcdVKS/sRhdwG7LFeg+XQcPCl3YuW61SHw/XdyZWeV0utML NEw+hItdcvE59DOOWIdy09kc2r/ty3/Vi/FDX46fjvfgjjU/RMe9HbjEx48r XlUgtcWU1V3uirSGAGas1sTy1kh2zvRi7LTxwn2HdP+Wr8XyV5kcOsmac6er c0pUGheUGDDBqRedJ1Vi2JSePD67Fz9WerB1yv9cQRczjvthcTRp/dSUV8c4 Szl/GQZ4Tuac2ko8Hj0Pn8o24n13CUPnR9DOcCw37zRGqnI4oxcuxVi1L5gv vdb10HosibkIk1XgrvJw+hzszHE7pe40tBit/mlYnvcUt9fbsfDhUXTYlsGy QT3plm0Hm+kuvHNpPy7ISrtrwnrMM12MjxmjKXEN5LheAkXRl3FtzSboZK6T LESKZA7NWHZBBpueKfPEjn/YMW8NJi/VpNLap/h89po4vGcG2tJH8DPCxZq3 Sdg8YRDD9HQYdSCEca23HCNL+/Hai+ti0rBc/ipfB6X3vf733CEaanYjqvqL aGy+De3t0zF2az5fr+3HX3kmjLjtJ26bXEe+6UBa6bqw469F4tHsFlT5LsNk /wKa3r4Pz5u2XJzoyG8HJ3LuPyUOvyrLmi61ImNML0RKmXbnwUh4X7JnpHEI 1zf+gdNnB46eJuWeXTskN+29eVc1lM/7BFFlURJDC37D5IIyx6lvFrldXeET F8p9qZo0WZjDlMfqWBq4TTh9HYqxb8yZpf8GMZ2l+fnNGz0PjuD4kfrsKudD udzhyCvRgcrSedjl5sRPTzfjt2J3Nht8Fy0wolNTAO3UYnigSAaLn8pweooR 9+jXYtDAl3jqEoyE9kS+tBzO3e2bheqZGonC/gdoWrAfTZ3kWOIzDSYpE2HU e6bYqZjBSM1uKJw8D0mXtGi+R5O0PwDZTFKrrx+XLFshPg7S5a/aYIlK4nwo rqjDwwl9hcsrGeqXVmHj8XESo3m3JMbtMRxvPwwGYy056tIw6q3L55XB5hwZ uB273UPg+FOWh/roYpPeUL72sUPy9f8kDVf8OGesG/caSddQnoKJOZm8ty2V rqeK6HNgn/CQ2SUChxqKkRUHxEr/xxiy9R0OLvmAuKwIVNxol0xp7cEX10Po F1vjlCV3GMPeWjH0+AxxY7Me1YfbcMmg1Uhakw+Hfr2l/60JHPflid6mTlR/ WYPb0QN5KcySlzX3wLTbBFQ6BOPBmIlEeDgbvdfhdfco5v3vGc7Sbty4fwzO OqVzs/Yhkb31trjT+BsBd8MZ4ZWAganF4mfzDQRb2bFsy2PRKf0E7jvux0ft HB5rUeDrhFD+fDCZ3w+ocp5jZz6T6c1ZuRI8O6mML0+KeHnnMuyYncj6C1Ng ePEuPLdXIy5fj/FWMxG7XoXrtk7B/S6LECudrYOvhtJqUjCzJ2zDKYUJTLWU Y8e7Knz6OJQa9UrI/+mGNZnSM7JqEXZ2LcXdlniBsOXY+bE7bk7tzYGH8+g6 0IV3RytTfU48rJaY4Jb9QfxWDWahYkccsryNtS57xfegAA78G0LPRUqQXbMZ vUUPrngxks1jTqJ1XkeRNHQ7ZLQe4bfjE1S9H4BOv715bnM/OPgOkrxKnMgD Wttwdb4C07fI8+TfLQi0+y5CNi9CUIXAhAI1Dv02BOtbXej18A/8Yrpzcq0n 1341FxMuJtH5eg5zn+VwSGET7vY9jbxrZMqUUQwcoss6OVXaDLNibk9FJG+S suABZ/aTcpPJB2PsL9mCPQvHc3qaKhYelkNYlhPVVhdw0m5fVtQYSn0og1+/ +XB9rRn3NA+RjKvcha5naoWsXRCtvJth/VSHWjurETw5D5Lmw2g8tw8d7s3G Ps1XwqXzK+T3qMQ4PwU+GZEp8soc+ULXgX/vqfP8GT3I2stwbw973JI68Bu2 40bUfPGv5xSkmNyFa9g7oWz4F5vvXcEs931Q+Xodg/da8t4cd+6TPEVEtZGI 6rEETbL3oDHXlQGbq9D6RHBpVAZ6+XyHYsVKtDl4cWBHVRa/nsB461JkPzwr 5o6+DaeQ51g+I4xLz13Gp1uLcK24Cd7ampx+XpGa3Y5CYeQQ6nWei6U/5jo9 WrwI5fYbhFxXHSb3e4zDPg2wU8/jO30FzpGupzLIktv/NqLxgh3nTRzB76O2 4PH6Dzis252LlqkwMVeGPmt60WKeH/PGDOS4xY8kRjP6Y2R1PG1aLuC0XRZz Dijwedx46ox6ib+dn+LpxI50fh3I40pLsNhAmxkBqWjZpQ+rhS+kvKsgAh/G 8N28doQk9CKWmbNZpV44aYC5RQFslPL6qa/kgi7N4v3W1fhy9ixkHi2Hi1ID HE4lQeZyuRjeqxH5Kz5iaw8nmshJ/UanFLL+27EyUQMmbUP5rq8MzO8bU6Hf TMjKlcJ7wHCqnUmlZ+tAZrc/ktz62YX2vSfRenY9ds18i1gbX9z7o4vKmZ1Y tmAwP2mcwRT7FWgrzqDmV0PufyN1PqsHML5txRg9JXipyYqGHir00+xFee/x zHHUomPQEGrtuYd5EVPQNiOY+mOf4OTOoWJNirpk4+zbOFbckbHR3Wl4KpEO vtIM+qTO4OkqDJBIc9H7HX5UquD4hami7vcZyNy/AnyW58r8dFoZmrN+yElx /kwRer4LR7ytHx32D+B92WAYGVgzak42I9+eg/mhowhRdeHkhN7s/7gWbdvU GZ3bLOAXhfebPmBHQC88c3fkZTtZPkwexq+zfSi/YzCVjuzHd6NhUla35ost zqLzggBpNvhQ0fiPkD2ohNRxlvCUVOFPx1vId+7F5cNM2ab0GRsCIyS6MRlM 3RaLfR/Pw3Oitpjb2YE7a9wZUCPLBQXT8X5bHF//KhJOI/eJidaGHLbPiSrj hrFrkim3dR/L7pn1YsUjS56w+CT5tfc/VDkmsmRtKPWDVKjach5FU3ty6rO7 +HxHFmU+JBIaRH3df6L4TihvVo5hzpEtmDn3sViyzpsrfRRprq3GscnhvPi2 K92P2tA+yY7zvfai84RIeg9Qpm3dAF67oS2Zo9qZGi8K+MrOhX45idz0bxzX RVvTpZsqr5Qmi/ll3fi08z5cWJ7LdfUpDBzljcK6RK66E8ORLuG8diuIBRON OKZ6FOfEFlLTLoXro1pF6ZJiPpl4GZNi3uCtghz956XjR9IlSJzt+Td1Brr4 d+Wa9lo8H7lTvE8+Cy4y471JnpQp6YlVv0sw/cNeSXObF3beT+LRjm6sS8vE n0+tUDSX8LFVPi8NWIrF5bNxdfoeRJgrUVZlNHemP5TO+2Gx3/gqrDOsOWyo MY/t9eNsx7XCbJEeH5i2wNP0PE7f74vupYmUUb6Ow3t0mfednH3bkYG9TSjX uxWPXi1yyrMezFfnyZoxCvyqJ/WR0V2oGrhY1PT5IpqdpXvhPx89pGdpsupc 4dSmyAnvHKD9TgfmtQkc91mWGefAlqCvQm38XXxd38lRpXgEYw+occPdZF6s mY+J4+rQ1/cBJlp1FEvuauGQ2yi+jNPhvD2pXBYfyf2qw7D2qg0tgs24OWeF SLo5T6ifuy1mFXkyfk1XBiOLCyLIgo16ONN7P6ZW5PHW/nOI9p2KDjZnsUr1 HxxLg5n587HUSXuhb7eO1Hp2Sqh/b0aU42TmtKfyqVcZDC17YNPrfFYaHIXS XwuantkqbmU9x8JJ4by0NI/TPzwUGY/bodBYi2dLHuJWUxfGpsixuFsTltvo 8fKbDyi7aMiuTslwcm0Qld5W7F0+E2pjbFnzIwILjCw5fYoaLbPtqNaoTncL T9b7zXQapzxG9DcaywingVxTG8GIjf48c34q6v0/IuvxM4QPOYSDLfks/2bP KNUevHXWmLb7X6FjcADfF78TY4Q1rdIa8FTBmlOtwmgp6Y43o6y5yyQBNwwd 6Oz0ETOqNiBpwguMHRbKqHHenD7QCpqxJ1G/UNqJjmEsD6nHQsPhfKO4BWGv P0vOi0A+m5DKvJBGsSZb8J3jWZj5ZnF6YCBvyjqwZm8gE3cfx4KDPvy2NBBJ soew6aQddSsa4f52JvrXtYrq6TIUOvuRWLkZjuVtWH0kDzflfmH4h3YMnnQC fTzi2FSVxtMZOSyU78hAp0MYPz6AC6sMaO5pyfJX+0SAbR++lnbRsv3/HPMv FdHd7akY/XMQKkv1mNaogOe1yhjerM9jPVz4de0aydqzISha6ofuSTPF1owo yeuwB/jyvCvex10Xaw8tQsOzUsmpFxlMNJiHAwMUeaf/MZx8qYNQo4disKcG z7Rmc8S9bAaMPwgl3+2YGGPBF2FNCJwcj/OOWfQ33iYWu2WicU8XnLhhzT0V K+Bo+RjRy71ZtrCfsN3/CbeVM+g00wGdbyQxo+maOGHyBOHbm+BRmUMv34Uo nKHHv0kjebRkECZ0SoRlUn+ukTr56YlRoi7VgzUyk3h8agB2/G2G7IAebC45 jDtiJPezTqilbkPj3ErxuOQY1CZ1gbKSCxO1JTRdkSjtzmnC7GA0V42x5MkO mpSVZmnf8QPx0MqXDT3jMNjUVhxNXw+r1UVsmvIMi+UbUd5zOqyveFNMdqDB zWbH+dcHsPv4ahw8nCFGxCbgjIEP66cdwuCBoezSQCkrO7Fr6myxZVEocjeE i2x7F+olevLLyx4ssxkiRp0+JbKvzMcWyzRoLXNn5vgibknNp+614TRvWgv/ CeZMWqaBVVkxPBV9HdcfDuHD/ZeQ9imRkpcyNB+ghnfjj2B0jxlYHBmDcvPt UMp5j33WY2l+25t73gv6Smf5Ya9x/HJqEI5aaPKH/Sga39iO6EOrcUIrhQkq B/C3gxs7zlLnrtUjON0jgXPd3iDV0IY2SX585bEdxS6DOd1/tYh33oybQ8Px vmok3bf3QNMxc57qXYOqOXVYbLlDQDaAviFy9Bviw7eNUr+zr0Lt6jko+zsD YzMlXJj9HorPVDg18hBmZWuwAFfwoS2XsqtN8HlKApsHe4n4DerUujGAb1xk 8EnGmosOutFJMQCtLsac+nUv5lrXC1f1C9ALUuT0oV24tF4FMz+O4iPXBpjY H4HzXjuuWz4GQ50mM8TrLK46aNF0rB4/nXmHpbKXMEvVWprhPbik/yqJ7ssC NPTX5r1RNxHp4kNdAy/uXbwSMXVDGdG1H4NGDaTrA10W6kyRXA5RYE5+Lcr6 OnGAlFfmn7Bh4OmbaLn/BfIZPdjtlSdn7slmgf18yar2LtyrUciomkRmnf6F N7d8+Pn1WDqqnoJF71FUt83n4HcRmPtajxeezxBTbBXYs+YzPJqWIUUmgvm9 zflDzo8andPYuWQHlv1xZ/ftc7GrMphWYUdRdjxWhPfS5/xVMUxM0OX1XMGT 0xtx1Lif2BYFEfLHCz88GzBH/yg2rnzqdEbKq1nzH6M8RJOPVisxRvYfRg5o ETVNoQxVa8HXyr7MXDKKpeOckX7toAj8lYHTfj/Fp37JuHdCkU/PKHLatbPw tvqDlT9GMLhgJCcXD+Jh36s4umA0u10P4GQfY6qluRAxOpQ53JfF5/qgomE0 02o9MDfqJkote9Lf9z4uvDgAq9h6NL38KBJ6uTAuax++F+twXcpGbLr+B+u/ jxHX0szE08XWnKJ8HJkj3Zjtk4ngL2o0KfagW9FSzJ4zUWDZQ0lD/BaxRWsF FL7txi3lD1BIqcLJn6Xi+s+70PYCf4fdxZ4dOazUrkT/cgtOaujNI8dDeHvC TWz91Co0T/XA/eLuCP0RhyH9f+Ge+hDK7/OictQYWDhr8FuoIU6+H8ObewYx +PIecXW+N9si1DDmRH88s9ZlY+lecat5M55XXMSzXxGYYj6ON5JmQUsM5qnt qeKnwW7sGhJH/88XsF+jTRThMspsG+Datzf/7voN9+greFy9AEUXQvA6VIsK ntJ8HDHVaVrPrwi5FcXke8vxevI66CzsxYJt0qzq+AyjkjU5TvMtWtesxL3g SZKF5kuQUWfPrp1duPB9rCi90IFh14t5bKQfaz93onxhrkgZ6sKCR33paNmd g05a8X0Pa/rar4LB00VwqQyH1qsn6HFyONvMDLl3gAXfn3yHFpVlaPaTMpD2 GLHnmBt/bNGgp4mdaK0ewKEGrpTMGcaxh+UpmR7CoTMHYpzqeVx+04le81ux MOYYqnSmihSpF94fO0isz09lSVkeGvXb8O3rAtHyoA8t/bX4bexOyaaZAbTz 6kZna0dmuezHr1+hnK3WjMkr8znncBfKry1iQ8wfUaYTwYzGHHz92Ydde2bz 97u76Da7HfvCnOjQ8FD4fStiqM8bTJmcRRtJDPuY/0SBXAVeOw/mob6vxJjb eVSt9qHp+2jG3Z2LtDOFLFvalQX1v9HjsJShdspycH919v/hw8jst0j/VY4T OZ34vH0rFNs/QmXYdlzT9uW1DFl+znLkjqIVmFM9lE5JZixCN3ExuhjRZhYY 1NSb5Q+1WLB3Ha6lW1NtyWq4nYrk+VsTWds+Hkj6J3b2Anl8PkpCY9n4YwTO O8sze1856jZ3YEbCCPaq0aPyxwWSEUld6fuR/L3Kgc+CfNmsrcuNa+M53VWH uh024I/yHty4X0Tnke/g4ZnBhKm/xICPYdzpshXzvqQxcMoZnKlqgUdKGC6M V0Bp8xUYuBozTtWDzTd/oLJjLE3KrGi82ZaqsXPEqPpgZl0x42p3T7r7R6HP KWPeCyuWGGhoM6T4thhZdxlH9yVz9zsD7pVdj5/rxwuXKEfujBO8Hibldrsa PL3ozKTtU5Ds7kLjP+aUvd8OmVR39FvxBM2uRjT9NJwjl45hRnQAPXo2wLbN l//OJCNgWA2GJCtww/u3Im3LB/z3Zx2mPD+AShUXdhpSJH71VeHgtxo8YvoZ ztKsHbjbhG3dk5E85Cmc09WFxy9DKGmtR7xpR1hVjOCOfyGsejeUcxO78bfF N3TpIXj441B67Ipg+x3BqtPfxaMoV8rI9hF5clMw+doiXP+UxXENuYx+YIw5 Z625waIHDhgr8sOzLVhzr5A6E7M5OjwDz+TTuN/kLpaE9YTm5224syCfVT+i OcvqDWpWHkGj2V2xb3Q4K0d5MyTInKOvxlKlaxWafEfQrPEfCsJz+CWiP7e/ HM1v2q6sWn8Iw6Qzf6ZnK36ldhfnWqfh6wwfhj8q5iqDJmywDOebecfEQNtJ TNk0CambstnQ4MopOxTxKuAxrDLlKPttniPvDYZLeTavIJDy2qP5yn4T5nyZ Lv7Md6K92x34Vdah+7TdWGVqCeP53WFRoCqu9bWAo/18eJRrSr3dkC4hCVjg c1maQxOwQ8aFqxrrMG5CEI+uLeS3PB/uWh9Ho3WZNNY3ZJViP768KHXeRzq0 MPqGqS0a7LnFno3HtTAuLgnFq18hud6Jcw2VuamnHWPepVL+Yzlan7qxds8o ds/SQ+/dKkw/rcVrTll8OXAWbCw24P6cCdxQbcEeLvE8qn9FpOg60f/4FPzv uzBJHdLYYnby/99TufE9T0x+35EqNZbsLOWQBSv60eb0dTxacRxTfnQWin4v cVY6My3OkTTt2gqvimfQcx6FSI1XklvzY/jd6hy0Cx9JugxX4JKlmghfIk/r z93xi2uxpfo9Bm2eBUulvbBONkHZhdFM9JgBK1lnlozvQzE4lXvGWLDsUyHm PjWgRpIGFJo7cpGUaav7F/LeBOneh6lK9+g3xHcDFhyPos7Be7ik3Rf5E3O4 a4YVrTougt0DI3br3I1jNl3E0le5bHT3gvrqbjxlbsSUWeOZmDUT522XoyQv kusmzkCkqgknJXbFrw3H8NxvKvZv0OOzkaYct3uPaJUtxfcAG77VV2as/kpI a4EjDQPodes9FvSxpnVeV46zfgi9c8E8OzKU83524CHjEpy8mUfP4cFYVeon xh+7I1Z9smB5uTt3xXVjcHgqTQ5PFb/a4tnntSxPS72/m5YFt/61Fmf3RWCY 9QlJq5Y8vTdJfTjiBXpOeA7ft/HUiZFHxb3xvKIXQ7tWU/YYdxzHfSZwUaol a++rUDIrjFbTvNn/twrfB3rj9RBl1nb8ICrs1yD+ay1K5K/g4nlHkfPIjRWp dyBb9Q/lWjdFUceelD13HG3X2pEcp4mmGEv6/9Jh9rx4fpjqxcNdT+COUwb/ e5OIfPsRfH8rmy+bQzBjvQEPx83Dkv4ZxKRMDknWpUaDIX/10MGYuHjceL4X XUpWiMDtByW3By6C0lzwSHRHJgy9JyT9eqPbqIGotTsjNu71wL/n5Vh71I+z Dm7F6JYcOv2NYkJFb3aZP01EPvPlIJ2d0C9RZ+837izvdR7rM1Qgc9GM9ePJ ByURPOuUz8LOmnwvieT93HHsNWExeh7w55Z1aXy3MUuy4/xE7pP15qPmTKy6 5wyLAYbi3bQAUfj+IhR71Yjxz9fjYHUgvz7P4aWIueintBnaciO4p9NsERyX wQ6/VsK6rgpXzg3hx/UfRAO3YNHYXhi7sTtvj5mFhF/b8PXKWHp6JWOo4n0E GPkxf/VQRBxvh19YL8fL1h78/vAFarJacGjjB1zvfRxpRleExjsdPtvw2em4 RRjrfijyo+iFFYftMS3an7N2hGDF+q7M2dBJ2gMvsOzBF6Q83oblwdF0fRrH w2peNEvsTecdSlzdNZXnZnfgpPJqseqmM38UnodCmyvrDuzHGn1tNgU9EI+7 XoVRf9KrVzfWB56EwzlLJkhZ7ctMQ+76shcrkiewp7sL3IcncGDeDlF4O4gN pgN5sf9k9BnaBoeWN6gYl87JYWpYkRLN34ffwmjHC/SZMpklPxfDN/yL+LYs i9eNRmO0Shn26M8TP2r68HPXNLYWvoJ/1Xi4qutQYmbDraZKPL3elcPLTLDP O4cXhruzMjxP3M9MovfsRdCW8kzH0BNisq4uvT5rUnvpSMrdG8TeIV7s1WET Lik709tjNByC/+BCvRnP/JMwLytd2hdTsM3wETZ0jxdHnJ46Ocm1YopKZ+Yf HMMNSn78abMZAWPP42CXZ5j9NYiS3zI8sf+NRHnxV2E1bR9+X5Dhqu7ahFEk NmyI5sTBsuLywlrM6htCl9Gb0d0hjl5H23EhNVUoen1HpZQ7X6Z/xcpFRoxd Hc67drPFTsMt6Hn4PLL2tUoWHPuJ7HJv7AyyQMeqtWLtYkesaOrMuhFb4aGg yv+Cboqnsy9B74ETJ23Vx8vRbXBck0jDdXm07LAKTj9laP8umSX7HTjr1gC2 bL+PqOlp7D/zofiZuBFOhVrU9Mhl5T/prEwYxdOBWSyVkeH0g9dR2DKCkuQd 0P+8VlJRFoJny8YjbJYSl1U9Q9SNwbyXvBSPBrlz3wQ93l2TJOn+tAlLPxlx 8M6PUOp0GpMW1GByawHXSJ29fP4B8dFCyiB5Xej+XIHBcp1ErdVEhvzyY4BE mVONTdjHZwgUqwsw/nMdtmESjIIyObW/FXSW23Bp+ww8D1fmuO+e+NvJkba7 EnhTMomK0zQ5rdoLae4xGDF4GA1LhlK36BxevBlEjxnn0WqdSfOrCfQ8IcGq ijTO821Bi19HLtHbiQN/t6JDSTztD9wXv4a8RsnUQFJRjSc/OLD4kzcUHQyY /bYPPxwzYd1WC7YVDUa+8gGn2H+T4aajzJ/XbmOOmS4v9FPifTGJWnUnkDhr G9ofrcOhr325u/NizHkyhOfrCjj9oiGT5nXil0ANdjYew3mB/ajyOYm9390V NiO6SrZEjuXco/L4OFGPhic/oUwcw6B9Sgy41JMDXn/E40HWeOAWgTCPe6hc HE8T/X8Y8TuF6xpKYSOnSa2EZPaQsp3c588YNlGVtTZtQnvcWYQod4eH6VPY 5TQJF/tKXComD/mZsenfF4mdxgDMrZB28KlM1qkUUM1vO5ZP3ocGgzFQDVSm waZUnnZUZElqKwr2nBaOlcrcs1uZ1w8tw4kNpyXlysnseSMI9R4x+B0bxme6 wdx56gTSgtyp/TmaYz3McW1ZMn01zsPi6AcUpkmz7XkJknbHEA8cKDvnA2w6 9qdiNBh8zhd/Mr8jOtuaVroW7FPlj4jAgcyP2Y+yJnDlbFtEKTlzYBdj5k6L 4m0pyz0dvFI0LY5khFOI1FfqYf91MGMvRzN2vMDUM6EMtArmAXhTK20w659r U83LG2PPRTHaMJMK0xJ5YJcxZ+T+h+ZNFvTQdeXihXOFfIOEep0SmGkVyK3C gHPmDKCXogvdtXx5f6oRZoea8t0vX5xRUmOFYjuOTmqD14pOnNi3F+M9ffg+ sgtjE5dB+f8qNu9/LP83DGvYFJVdKqtISFJ43ucpkYSSvZKEslVkRCgtRTSk vScqkko7DX3SnjS1h7RL+/t8/4H7dY/rOt7H8cN9vgguwRck+rMs+LOxBT/1 9mHBxekcdPYjFqWfE89GZPFImeCm/BIstPsuCRoVwBWpBfiqaMrqf6MpnA/g 6vzPYoFFOWoCtWk0x4SO9aDKvb7caJUgunjWiFrLaF5c15/X4qWuuwo4O28A fyhO4c3tIfzbc5uYetyIf4N1OToriv0fv0H1ooG8ZdqFarl3oWZYjc9q5gxN H8UDSyOpbDedekoO9Eo9jAulFnxWsQO9vwdh3NLhfHX7LHZJfawiQYsaA634 UaLJcbOGYv+7TixwGsmtao+QcsuR45KvwOjyWPZWT+ftN4US3ZV+VMIuzEy9 gYKDz6H/oR3B09/CWeUFNiebM3zSBmkHJVJRP53nTjTi+cY02KY+RMuu8Vhi eB+rnrtwzYljONKvEk1+r8TpA8n0vyrDjQ/VmDL+EMaFRfBB+RZcM+tDjauT +LpXAO22ySFUpg93G3mxu+Y9ZOeqsuWen4gf1AlOZktxqJsik7xsgV69UJVb LFx2mvBsr3oMux3F0DsDuLLXX5z0a8Rxvefw37oeZwpDWOqsQ+NhczAQL7Gq Oogbr+pxupEN1xkP5n0LB77Z/wgtauqs0nsPj6srkacd6nAyYrcQXS7BJC2V t5d/htrz8fSUmYUqmzTaeo1mbN/7eNv1MQZVzIXqE2sgtgct7+7FHt2uHPp2 EhtzLNhvc1cm7Vwtdpoas3rqENhr6LElSB2eX5S508+Wr3L6UmfBIEbdmA/j ZeqcEOdE/YX61FA3pueEediefxJtoesQ2O2DSPkbxuzDV0Vlhzi+H+jHocVX kJPwBAtPB6BaVRuFdQZM3+YmxKsODHphxb25E6hV0RHrT/Si0hWwePloNM86 JQmQOtq/Ee4cJBtKo7oijLsrQ7x0ZN61RGZOaxBfv4/hnqszkDAmC05Lvfns ewI8TQw4SPJHEjRnO26OcmJT9EE8jpelxOwoXO6FcIS1LZvmyfKXTyLfbnmK 6Ixh9Fl8H/4R3yDb3ozmC/ew6aEqBxRJWRpSCz4N56boWN78+RK/bwxnwLAv YqzyaNqUuDPmRTxkt6gz+5eLGGuqTpdr19HyIJUdyjsj89tCWC/oTTvlISwM X4RLDkGsvfgAXQ4bUkl2BH782ImDngcw8ewATlk+nZpPvokvy624vl2ei99Y iEUBHWH4cR4OtbvzfqMBDfbIMsh3MvT+bBG+nUrwsE2bZWOjeGZ7iWRSUQ9a eEVjj1+uOP1uFJt0ivGDo+kQ+QO+WSN4taiDOOgIlBvEI6LKj8lDophybCrj Dz4UOxdkYepuNWaet4Puh1iGtOhy2cBYMU/xCCznSPfjqRxH3Uuip7Ujnlbl i7zE8SJ4hzO3W2rg8uA0Thh/GwXt7Q5d9sRwau+ZiGs8jTRH0vZaGueMn8yd nIiHfa8gtNyUvR+Nxw/vRRif8wuWC8mHHh9wtiSOVlv7cH/lbQytCmJ33y2I KSyF2iNT6lsNZ8O5VsirzGKv/uZY9CSL0xUceXOzEWf0aRG7f1lLbjfnSezO SR3hgD1fyyVw94Re/PMtndpbgjhcTrBslR4LT2fRb/JP3G+yk0Tb3sfL/k68 NSWJ8raXxOHvd7HxpTvLzssxrLs+Fz5ciJ8GbvQ+NZHv1Q4La7M2mCpJ4LrT CO7nfuH+sTeojXOjeqUVZ7zO5L1VqWLl1QJ4bvBjc0ozDHJB+fEa1Gwshtr7 lxhyoxfzVqmIyrqLovEe+FX7t2jJ+ypK7+xF46ee7DHEFVO+pNG75a7oV5vB pNTJ3D8qAutuO2LXqnTm3xVib3oUV67bIl6HjeOzuvHc8zYBTo89qHFnJY7l jmSYwyAmP+vFD0Xu7G/nRMtfE9mdq5BrbsMPda5insEUDt5sh3E3xuBdnAXL vkXRfFgnFg+fyefKNrSriGNF3TyYvN6CsZYz8G/RAJ79fhJHlq5A50tD6Dms Ly8vH84ha5vET3d/pDeaMFY+iyOXVIvND5eKOrdWGHSK5Oh3GfBzVGFpcC/W 1jzGCcklh3C7k0hx3gv1wb/x7q0MzvhqMaV5AjuOTRc3JgYhakMSXX1jGftJ jbGqM2hfqi/GG4bwwB5/LknM4Z1putzR1oFfu5jya3sU1i/vTs9rC+F//L7E 0mIT1ALl4aGRyJSN2fzrvUu4nWiTuF0qdiiuiMQy9VR8+eVKbZspVCzcgc93 h7JTVqu994uFePWyuyTvxyw6d9Rhg8MasVz9M4Z+MWG+5ni6G9ZKVKdO45iT d7DYcTyj62w4KawUJsbhMDm0ALOWXcfOmu34XvtTLNT2EYrDxoiIIZtxvnMc VeytMey3MlMVC8TstWVwGOAkeTlXDwFLutNxkg8vLRxL++dywm/gKqzdYcvH RtO44+pXPNxdh0Vt/fhy3RMsehwBiWUineOO43zAK2jO2IEDBTkwrFPk4V+R /NymyZ/TPkBlWR/qJQRS66IcbS1mo2rOVzRoVKExUZfBV9SZUbcaoZc9oekX SMtjMUz6HUjZvG94uHWJqDBdjhdf9oqUb8PZt2YQDyf7c1WCDK9pbEfrkaGS eoMKFD82oou+hK29jXksqZPkzs0RTApsEVoT8jF6yiP8XulOZZ0B3LAyHXp9 NPliQwXmZibQOmEU3R7P5J4ePXFh/E947BzBbsKKOsdv4Ub2CzgenM7zjzvx uJ0Sp+6TMqf2uuhyeAQ/Xe+ND6Gv4OH0RdL4czGwM1MMezmW+kPLsfpOFmda D8Skb/fRXWcUn+a6UVvFjIPCDtrvbtBi+HAjdn0eL0mu/ScWnD8shoROpHe/ AJ7bkCqa/jwQTxQOYrTxERjMGiK5XD2WhflZnJwWyOLjP/FZO44GBXU4a6zB +9PAo8USHuAZIac1hfX7HcTF4N3YPPMmBqyyIk568ormdLS8k2C/ZiVy0uYI 9zPfMCJwKQLCirGkbDK9qxSQH5aHZMfF6Dc6lfnaZcjq8AO1kV8dbh+0pnYX A9qpCVqtcuO7xqmUs26F569yHFvzHq9UM6h4oFT8G7ob25I9pX6aK2qMUpl6 B6z2eQOvzjkS27b5yNoRz6d7FdjS3o075yuTJ9wQ0TQI0Ye6cd2Qt/iUUAnf D9H0zR3MjTpfkJ/ckwP+DmXawwb87TCOD4Yn4un9bH7buxyyUdpc0XJO/Lcp ntjrwE8Jlmh9Eo5Hyi/weJkHOi1RZHxLNNMGd+D6papie30WTdpjhcbW75hu LsfCpxtR4l4JhQZfdv5rBK9bTTCLakW8bHfKuGrz+GUlPtycw33u94WZpgWn 680TWzeasO5OLHeX6TC2vQvPV8nQe/E7ydDF5/Ds4V84tZhy/+AoXj4fxPpl 9uwxWkLlgV3Z03g4U2T60e6NBgtzOtLHc4+oHTaJKrktcKyaCp8ND7Hqvyqk noiBQpoME0NC2FHdB4uzR6DiyVZo3XGTLH3syJBLXfmrB3ig2BPNef58N9CJ vi2xfLP0FAL2d+SNb3bcFHoDRUMMeWzJZrG8YiIb5TI5WDmWX14o8+TswVxQ 9xb7fnlTre4zfIPI+8uS8dRV6uk04huvmehq405fwzVYxc7w/6LNNYWKImu8 KUsupXJwtK2g6kdxyDABZVvKcB2N2HNgsMPowc/xZmIYzYPa0D1ogfDyVOHr Rx/EAfNFyNA8gh4Z00R1LYRlwgSeu2eBa6qbkXlcjVPPuqBa0ZIrz+VjR76L tI9yJZdO9KPjkSJkfVyCE7YKouFeBBU6/8KeCwcwcnEMm6dH81RzKcrHZvPn 4RS+qMkTm9xeYNSv8Vx0e7z0eWw5p3MfWh8wY1c1V7xa1Rtd6p+JZqv9YoCp Gtd/FrQ7EsOTcdEco5rC0J4JVDHuziTnNHrO6cHYAz6ouxfEdL9kznx+C8s/ 96Dep6XC87wHW33TabHPGhOTVmD1P3/xn/sgNnouEJfDonjy0VnheDSH5Xcn SNk4DSeknfTj9jgk9r6NIw6G1PBoFQe8qhFoOZUOnwewIs2Kf1wbRGpSOCOP N4uTeVvE1dN7kby7VTwta7YvPTGL2t81GBk+F5LtIciU+kltO6D0dRvWuaQz oH9/oiMYe6oziw3XCcmbeC7N6I5ouR786mPKG11eiwtl/pTX0+Izo9F4XFKA J+d0JOe79hPaRfvw6NIV+E+L4mvzCNx4IfWcF89RvFob2vtlePRlCDcOGIUB 8+/gywpzprrocOmqd6jS3AO34YNoP9+ZihMn8UpCDjtPf4oOUu/rJG1FZ30L KjIb5vZPMVw1nrGLd2Btt3eIKqUo8NJBaXdVxlxSY6KUkwHfAxk2dRfmWP5B a8ZkdldoR8+SEax8P4yeX2P5ba4tt2X5075/P947UIl7f0N4ca8hFzgeFXtn boFRWiuWLZwL7XFj6JxzXbSm1+Dcv69I3VqN/ZsLoBgzmebvA9D4byXeGM1A 3u1MbkqvwL6JSpzsH4glN7pw69XNuGlpRunEMu3kIHY0KcbkSefh1t6dmXFn xYuv03n9dyYevAth/+klcLlmjbrvyUwxuYCEVT25UdrVdXpXUPkjmAYPJnL9 u2z6fjFjfXE0h/tK2K1Ld7rqj6Txl2C+8nfmjU9B/L3TgedLhqG3fw8uPnwV s/95cLOmHZuawT56/2HYh1kMyJfj8PP3sCY3k7+nvMAhW1P2u2LIlu3m3FYk ncHPSsytnkb3YnBC9EfIJidz9jNFjnXXRv2ELG6p/gX7an+emb4bK46ugY/W NNZJFNhxdxobnFKZd1Gf/RI7MjJvufjooIen2tL7+JjA7C5/RNvhOMrfl7rJ Q2uKbVPY60hXmt8bxql3ZCSXtlnwUlEpXlguxXwFwUvXSIUzGdida8a9eWDo 7HAYDsxkjJIMP11y5YUCda46F89PFuGsMfkNcxNf7g46KGm4F8mxl16gJP4h mlqCWFyaxj7H/Dlk4QdM+uIg2oIfIHLGLBFTK/jFpBZ1dfEM9lLgZTNjXtWM 5pGX+tweEE7XfneQEuktmnbZMTr6mFh10op5NTO55Hkv2CmksGa6Ox9XmfFr oznOuAksLdWjdcNn0TOuD7/m5aPGWpGRa22pcXACehQeFla6MfQNGkyj5MMo bJjIKb9n49nCvrS4+Bkfo+LYYegIbhnel4ayXThvuyqmfhwpeXLJVfRfp4zI qT2p7nBZJFTqYkn1MD4ZlQbn5z9RrxTG/fpd6ab1Dclh4TzV/RvmX8jghtg7 OJ8hD3/1W6Jb63xR3rgDrecjIZHbhg/jh3LF5STqf3yP3Mtf8eHTJBTJ9Ofv juexL8IFrv082d6kxxu/5HFQSOi/+YbImJRK+5R86M2bypt1K5Agky5+fw/H seh6fK41R12AKYM7FInYPtWSMtmZ7PJ8ElvNp3HThSxGPs5F53me+PRD6sTm oXTwtBNZte6c41KEw7e7sOFqGJvHP8PvTqMYFZ3OkVEDqDvKg48lM/lbbq1Y e6YbUn5vk9x/JoFjmD1bSnxZu8CJmjoPULd7NKufePNuZjJmL1wNhZ7+Er0O F+CqG8yH6QX40UnZYeGkFP6NMhV/CvvynsZ83D24RwRaRuHguk5c4RMtba08 mOSEM6hvf/qMSWO5iya/2X/HwLkVkqjD11C2Q5fb9MzYx0GDEoMkDqpK5N+2 k3Ba7MUxcn/Rkpvw/39wRczeFH7KKxGFVYZc67oONfNNeFPtFBz8zSWfUiOg q5BB0x8lQkWhIw9FmXFLby06XV6B2CnzRH6UAoPXXhHDNsrjUPlmpD7XxJZz L7Cgcxuslkrn5oY3Cl8ek0yeF02s8MNNlSG0qhjHC07/xH9qE2iXvQmvH51D nnTfNq88iyFe4Zyw7yOWfPbgaWtpe/lM4IkVa0TzfzqcGh7GJ/op3Dp0H1aF nxThiVNwWiuQNcUjWeiizduLQoTROwVR/Wo1vgdNwMDKUahc3o8t8y34t6eq wO0Ivj2yBpUX4zl6UBZ7vfBjTXUD8p8/xyuzI9gso8eahNfo4ulK1+B7+G/f ctzqUQ7bDEP+mHgdSg8s+ES9D73TdDmtmxsTL0yCcqG0PzWCqdGrENtfTuO6 0V6i8ZUO57btxRspO4quOfHvZynjSjogVeLMsvUPBdTSqK7/ES0Pp9BI6qjy O+cL+cLriNYuwPCknkx/Kp2vWz+wcK86L/3Rgn52L+7fZsnvVla0u9yNqTpl 4lyZNQLrJ/LaxifY+vggynRr0G2QEl/vSYKycwg/rlmAbi1hMHf+gYZFTjzc EIMQHxcMmvMLs2c3QevTbmQ7R4mAqCosmjuMTakXxFEXGWi+CuCu6VP5xNmE Pstj2GntKH4Y8xR/RiRwb3clfsrxpChaKfb33oURJzqzU/+bkPtmxdSxHsLB bTOGDm0VtOzHgDAlXrOYgOeH0hk/eDR3NIwXIUJNyutpkGm9gd0tdozfkc2M NUM5YGeKcDNZKf4lz0bhGH/uFAU4sm0sTHYsxLTdL0XIw9EcZzuWsslG7NIz jturlqOhvxa15pdC/dsPPK+J5ljLDPw6pSEa08excpb0e11Up/liedr3/YCk jtfwZYcN4hdPpnxstuTzpkye2mnNhVHbcWLlfRjucWKOzjl8d3Zm6H53ap6d QhsdS8mQo/+w54Unnexn0EhWgR4jRjH6SkcM9jOVtpMjrz7wExdSe1Dl9Hc4 GPuw0hPsPWSVkC2I5Pw2L9bmrcC63VqM6emFlNKdCPhnxwKby9BNtWC5vxy9 753FMv8pbCiP4d/d6eyb9RLJI2WoqjmRoUXdsej6UPZebMorj546/O37Ey+L RmLdAnlOUu3Eko57UL89ng+bTRj0aS5C0q5AzS2Ryq4TxY4qYzavc6Tiwr5Y P7pVtDvYUf5PKvKap3B2x3FcejSeFYZ34DrAieNKlDjgUovob6whPhSm89Cp XGQaj+OvZbGcYduXeasViLUBLG3wQN4qc07dOZ2+YyI4ctx+bJ+9UNrl3uxt 0p+nujXC/6YGN5zUR+1Mfd6fXSuOberJFXMzcW/dDK72C8AgibPETWMLQqxi aXBSna/aAsiTWkx1VedjsQ231S2Q61MiDLP+igPfdfj8wlMEarth0VoFTLvQ i8PqH+KQnAu8F1pg8hxvyp/RwLptMzny3BHom5vzv/o4Hs+2QnzxBqHzOIWv b5jx/P00LnsZxcDoBaLHwjh6t3/EMnEGJw5fcTh5m+wYdxAPi6axcossHFLq Mbejj1DVWo7kmpHiQoILu6ZdxPFRo3hhloS1ZxaJGRbDOfOaDc0O+PCUkiFL ZD/A81849yT1ZqlxHD86bRe/ynUoe3g4Oqssxo8hvfhbL4ghabux6H0iwqK7 0/J3IiePLEJVWwYNXkyW8vs41rdNgcOgCETnR3Jk9AZct/fFusBkFk9X5nRp 4zgZ/ZFM1F0hOeY6hrMUM9ixLZ4aYj1KVToxZ81KCU/1o6fbCaRtX4Ovoa/x zbIFGzdk83GmJp/mjOTsvpk0aY6EUdwPkdInksHDRvHMrXcYWbUVCRm+ovVe g5i/sS8lYUb0vzWUcaq9aPJ6CuVGrBQTz2/AOvl4/ulXg/Y5S5CiJuEgmxJ0 zQ5gv7ZmjK88JJR8bou73oZ82OQMyVR3Xn79Bx7vlaC+wx+XCp/AJWE1Kh2m YuHBpdj+6JwwHqPBtCe3kD7uO87FhaDmWn82Vnfj8D9OfJsXzu86zejWaZy0 Ew9hq30qZ8zszPf9Y2ipFMQkywWobp0Dm0QbptmcgVHtVP4J+4193QXvl0ey 8p0d15lvxwLlOajKdcNCa01G3yqF0xtHjuxgwnERGazbIG3gnEhGpqizyE6f n23t7Wxk36B+Y5XEXFmJZ9668PGH23A9PlVSbubI2jU9uS/7j+g4Y7FEx9tM MudrDtv+9EHQoido22DMtuoYBFwhP+/VhOORBNZf/iPCr4fx8EgrKK4w4K89 M2iw1I6117tgf5wnMxb9kxReyxD/yj0YrmVI7VYLPtgzjEdL10u+uJvz5IcY TpJvc3gzaCI7PFLjl+AxzIgOxMNhyWzSPS4WmUvwsbs1K0J9cTT/AH60PBe7 9GQZ0yGT02Qa8PFgO4I170HF8AmiWqvQ7/0EXrzaleq7epAZpvTb14dF8s6I TO8ufn0ZS7WaPtytVoV/uT+x008apUtlGPzJjxdnhDDddSyDpLs04cI9sSc7 mHP1OyDUV3B412xGps/FC6XPoujoYXy5fwPeZy9C9U4pZtlNpDjUhuIb9px1 O4llS5S5VNdTklDfihf9HmDcYTdWBoayz7swZMR35KeM1bj2/JgYWaLKyYHd eNjcQRxyXItetg70fKPEE5tsaBtejuqNEuqZP8JBqzVoTZTyceIBdOo+jqkK CRy4VjDsyQPRzTmKd61msqQwgEtD52KAaV+ujZH2bOdhXHn+Jv4zaMLFCwMw qVWBIYm/xdxqU8qOaUX/mo78oZRAHJOy3bFAdJ8RSG2TCmz09WCY9NqxukHI rQ3g8o6T+UpFh023NmNmq3RmnprQb5AvvS5b8VnmW7RnnUGvq0E0vdGPV+RG M3Gy9JxsiuSef08x1fCw6Hf3Nk4dm8DxOvMlrw9ksrOaNfd06yUu5aqhfOJM 3OtozejXffHJ/R3O9THjTcPDsD71DgFKJpST02SNYj94DNWg3vO78Mp4K/Zf roDfXBfG2LtyVmczKpePodnHa0KrXJG9V9bi0M1OzNP34NOAh9DWktDgeDiz cifz+5wt4kEfN9FWv0s0LZ/JhBlZ/Fa3XmQqqbOpRzXmqr/EyqZZdJycxUUH Zdg/pxtNrEYxZ24qHLyakO1S4PDyowpma/XkgnwZTjkyGFVLnyN6TjPKtnfF 3cIzqOiWxILKgcKpxJmy5WHwTNXnmgd2vJfdk11MduJZ9mSui/mMGgNLFnsZ 83G1F/P1l+FsZQDHZv4Qry7VQeLvzmrd1cj/sAxmR/uwz81JnJu6CP6SnkwZ X4bzlkqMPXdPuLS+RcAtM9h+eowb55ZCxi5XPB1YiR7fLHg8vCfrNXPwY3QQ HOtVeMZMDqW+FvTpuxld1+5HSFQwVYIOweSqLNbEXcWQrbuwKL8zI6Ij8S9d hRpprx36N43h3k7KtJ7lRc/IWbxTmknYd4NZ98PiumIcvuYPp3wvQz6Xj+aL bw5IbAxm34XrcfyxBle/t6P+3U60PlANh6C/GOA+EvLPvknej1GiwpGLuDbg qsTf6xLKA1ZheXg84r29qKbRixa2pyRpo5TY7b0qvRwaUVeVxDxDZ4wIuYeT aS4c/noc29R04N9boEzDlB17h/O2Rik06m+KMhMD+j7SZ58WX8Y4D+Jl8/4i Wfr+XEpdmBgfxqrnyvzRtkpk7SqRTItJ55zZBuxwsk0y5t5YXh6yF942z0TR nw/Yf/koFtooMmfWaWRMjRQlcyqFQZEjZbqE4qa7OtfGCfzZdxFDNwSzOUle 6o26LJnzWsybuBf/VIcxJymCO/Mn4M2d78JYsRu7P1qPA2Odmb9nD6L0jMS3 syfEe4U1eF1mw34fFDnw0n742lagbNwm2I7KQl+zD2gfkk0j9y68MCMa7iMP Q+OoMW2sGlA2cgov/n6LuptX4NdsyLe6D9D/tDuV3Rfh+pOTuPF6tyjZkcz3 Pn7sFhgCk5kDxOekM8g8H8iX1dPZoSCI2y5swvux/YTd97nYsdmMU/olI9Q+ C7/d/0N+wSas7taXjo0y3PoglbN+7sKtW9EMao+g+rwJnDFIhir9/Dj0mDk7 NPbgQefh1Cg9IxobarA7sR2RX4+j4FMUvmXcwsSC6XAaGcbvjYpMrQlEhxFT mL8khvq6lhwemcoONjJimfYQ+urkCx9uQeFVD1796oNgKnF9chh3dh2Pf669 eX21LKdsrxSWxb9x1zoFrWP6MulmT1z7NZ6DfEJp+yCQ7ZubkZIazIKPSbRt MeSTYgvUWejwlfNZHC7L5mDPrjxwegZHVnkhcL4Kt6/S4o3f+5HTrs7XvdzZ fO0MFr/dIaKHr0PP6K0YcVSFZj7GvJN0TdS3PMLsWOk58y2FY1VnMulsV1wZ qspjk59hTckkhjf/hp+tgOmsr2jtMICqnV6I1iuj6XY8gO+9JzK8rQNX/O4E O1dvGjdKudPijdkdNdl7XTNC3y7C7cj7UDebzlc26iJzdCa39Y7jsz1loiq3 HZIcIxzPMEeHW6H8lR/NnOp1omLCZE4rHUoPFSNGHpkt1vfvwHN93ouAL7EY aj+MHxNjubAhgE/3WXL3wU7U7BGAIN1TiOuUxgzzAA6z0aPTlBPiWo4Ka5WM ucDGHj4qBUgxPIWnT1M5+YsyRzaYM2GBLSNtdflglw1v3zyFSEMNEbPFkj+0 o/l+5g0RERXLEPU6cSoogHsS98Hm7A4MdxGM8t2JR/UDsG3ee6TNjUSElSxi jiuzb4QlFw5woJythAeWXsDmzBzxPsuU18uTuXLxLQgvK7rc6s+8+t5s0pnF /2RT2B7mxkcnVkLrpS+79lYXBw6p8vh/M9joPYg3ozrxs02ZJGpXDCeP3oCe zVWYNn8blMIjqV02hp8vKlGF0h0+1Ilp269igl8Mx04I4e5ptRjs4kYPJWte LXmGyY9nY73NCXyxawcVSmAx24QFwYHM3y/hq9Ha/J5UA+1ZO7D9Sl+OeN+G 5gofWk8aJElUMucV63DG1lri8eL+HFhW6OBqaMNjD56iUveu6GC0C/GDcqGe UY8sYxNGzS9D7IAWh8faL1BqZMg+I6uxytwQWl/XoCII0gYzQeDGbvwpSaXD sAHwEKdwYUNnTt2qRbUGK6h80eS6nQMg9+KCaIowQ5BVV857Gcx9BUWSkYv2 YO9/HkxM9ReKduOpcimT887o8ZCUmZvLlTj8oxLkfTSEotlIto2L45xjT3Hm nyJvjY2E/B1DFlYosKX3JryLj+WwER50HR9KH0cnBnQLw6ViReFoexweOUb8 +Wc6HU8+RtG+IIgX5/BlfBH6aI7BIPuHiJLpwq0Le1DONJb3j3fE0Z9XxTb9 OkQN+SF8XaVeb18H38Z5MP6XSJ0xNeJ8jiusz2eQNyJoXarHFbKx1B7Vm9Rt FDvPvoXLTg3aZH2URNpMoXu8Ov+qqPKI7CCavjDj2DsnkeT3WxiayaP6+xJ8 8juL+9ceIGOdFz/odIJXFyN03hTAs+8P4JKSCVxbxtPtpAFtMpVFueU4FvrZ 0j7kB5QOdOb9OiOhrjqeP5evxbe5DZCfZojtx3PwX/JJTNqyHA/am6BwQYdd IlYLb9e9sKzKRLdDyxB8ayJnNKVz9tcnULGN5V71E3hr48OfFUHsevKEGFqj yrvLQpF6NZ4yLlZs/pxKa+vhPFd8Ac/99opR9e4cZRzJTXY/8My8CnOm7MbU OYpUX5QiIqye4aWU+Qdn6LKydxg9fLUY90uNab55kmZHVWovWAUbt2Tp2dgf nW8WA6bSZ1PWYYGYQkXnCjE3tBQDfgxj2UYHbC2Zh4HJU6iQJSceHgxGeo+3 eK00lBH/JDyS60b56ZHIXv4Bj5XHwGeoJRatmYXlLsVIu9uB83ZOYZ+MBvHT YhL/ft6Ct3I1uOCiJO3j8zC8koO9I7ZKvCQ+nHEzidbtYyG/5RSO3zwC/zeD YTM/EIbpvyT1+2TZ4ByKISHaPGv/Hpnmo8XKl+q8Zu3C03bDEfRNk8YvTPHp 3xlMfhLMp/pedIqbyOImD8xRzWZ60xqsilJm6YdGkeaVyNRl7rxwvVCIPBds jnLkFhMDpBzqzxVFt8XqKVdx+nIK4i6X4ZjhGBplWSJ8ZWeaS0J5aIQJu2qH wN1/tugaIIvnHuqcV+/Fsze7si1Fje/3+7Iq9zOM+RqfKibTcZwe61T2IWaw rSTLtwB2yd/E4A2RjFEG1seewAyZGHb+bYfJdpVST8nmMd2B1Iy4hEw3D0x/ HEYDNwXJzPlVkEs2Y5pWR3p6mWKrjTcNLc24+upEjuqbRKw6AbuyYuxfGCrZ NXCJyPhqwfmOVtz5pQWd3vyGs9pYqA8NZtAcLSb22YJpczS5c4I/96eO4bVl nTjMPou6M5yoVF+IHnJ7UVT+AB0eTmT3QA2p0/bg4sAeuHy5CSWve2LG6vF8 YnIO67KuoTwiS7wYIMsvdk70fSV1db8QisGGiGvYhLQd9vxUZoeb9huhaRBC LnuAP0buvD1HhUbePsg6Hc7fX5bAa0sF2s9q0nKzHJ0qvJj7eb941ObBJefy MbvamNH1CTAs1eSkc2701NLk0SMpsDoxlT2902j1N4666h0l5Rt+4uLJShRt 7ckdq6twBIMpv+Id7N1GoTF7jUSuOJxlq9Q4U9r5F+wv4+wBgQmvJzLObCBl i4vEjLMH0fd2u0SifVy6b3a0Wx+BK+3HRWD2G+j/2C66Di/BvzQDVqQboOCs H5vWVSN8em9AyYD2S+c55NpriSd9e1OlQMKseXn4oh+Byghv/g+AFuyc "], {{0, 40, 20}, {50, 0, 0}}, {0., 1.}, ColorFunction->"GrayLevelDefaultColorFunction", Method->{"FastRendering" -> True}], BoxForm`ImageTag[ "Real32", ColorSpace -> Automatic, Interleaving -> None], Selectable->False], AxesStyle->{}, Background->None, BoxRatios->Automatic, Boxed->False, DefaultBaseStyle->"Image3DGraphics3D", ImageSizeRaw->50, PlotRange->{{0, 50}, {0, 40}, {0, 20}}], ",", Graphics3DBox[ TagBox[ DynamicModuleBox[{Typeset`mesh = {MeshRegion, {}}}, TagBox[ GraphicsComplex3DBox[{{0.9164208834457594, 0.4608429052075649, 0.16406275563915118`}, {0.11287981341383801`, 0.4495268809653452, 0.5668144735361453}, {0.7239363283682874, 0.31112016096700423`, 0.7534608318422529}, {0.01697202844427803, 0.019088411200088196`, 0.45743572530074794`}, {0.02757666905645184, 0.03483496682770948, 0.27155777393255853`}, {0.1717446382261303, 0.12115569906409518`, 0.10623459439771299`}, {0.9616717667324328, 0.616601495336965, 0.04910959447073471}}, {Hue[0.6, 0.3, 0.85], EdgeForm[Hue[0.6, 0.3, 0.75]], TagBox[TetrahedronBox[{{2, 6, 3, 4}, {2, 1, 3, 7}, {2, 1, 6, 7}, {2, 1, 6, 3}, {5, 2, 6, 4}, {5, 6, 3, 4}, {5, 1, 6, 3}}], Annotation[#, "Geometry"]& ]}], MouseAppearanceTag["LinkHand"]], AllowKernelInitialization->False], "MeshGraphics3D", AutoDelete->True, Editable->False, Selectable->False], Boxed->False, DefaultBaseStyle->{ "MeshGraphics3D", FrontEnd`GraphicsHighlightColor -> Hue[0.1, 1, 0.7]}, Lighting->{{"Ambient", GrayLevel[0.45]}, {"Directional", GrayLevel[0.3], ImageScaled[{2, 0, 2}]}, {"Directional", GrayLevel[0.33], ImageScaled[{2, 2, 2}]}, {"Directional", GrayLevel[0.3], ImageScaled[{0, 2, 2}]}}, Method->{"ShrinkWrap" -> True}], ",", GraphicsBox[ NamespaceBox["NetworkGraphics", DynamicModuleBox[{Typeset`graph = HoldComplete[ Graph[{1, 2, 3}, {Null, {{1, 2}, {2, 3}, {3, 1}}}]]}, TagBox[ GraphicsGroupBox[ GraphicsComplexBox[{{-0.8660254037844384, -0.4999999999999994}, { 1.8369701987210297`*^-16, 1.}, { 0.8660254037844389, -0.5000000000000012}}, { {Hue[0.6, 0.7, 0.5], Opacity[0.7], Arrowheads[0.], ArrowBox[{{1, 2}, {1, 3}, {2, 3}}, 0.020399597244776385`]}, {Hue[0.6, 0.2, 0.8], EdgeForm[{GrayLevel[0], Opacity[0.7]}], DiskBox[1, 0.020399597244776385], DiskBox[2, 0.020399597244776385], DiskBox[3, 0.020399597244776385]}}]], MouseAppearanceTag["NetworkGraphics"]], AllowKernelInitialization->False]], DefaultBaseStyle->{ "NetworkGraphics", FrontEnd`GraphicsHighlightColor -> Hue[0.8, 1., 0.6]}, FormatType->TraditionalForm, FrameTicks->None], ",", InterpretationBox[ RowBox[{ TagBox["SparseArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ RasterBox[{{{0.235431, 0.32765, 0.833291}, {0.235431, 0.32765, 0.833291}, {0.235431, 0.32765, 0.833291}, {0.235431, 0.32765, 0.833291}, {0.772061, 0.92462, 0.998703}, {0.235431, 0.32765, 0.833291}}}, {{0, 0}, {6, 1}}, {0, 1}], AspectRatio -> 1, Axes -> False, Frame -> False, FrameLabel -> {None, None}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> Scaled[0.02], "RangePadding" -> Scaled[0.05]}], GridBox[{{ RowBox[{ TagBox[ "\"Specified elements: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["1", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", "6", "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ RasterBox[{{{0.235431, 0.32765, 0.833291}, {0.235431, 0.32765, 0.833291}, {0.235431, 0.32765, 0.833291}, {0.235431, 0.32765, 0.833291}, {0.772061, 0.92462, 0.998703}, {0.235431, 0.32765, 0.833291}}}, {{0, 0}, {6, 1}}, {0, 1}], AspectRatio -> 1, Axes -> False, Frame -> False, FrameLabel -> {None, None}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> Scaled[0.02], "RangePadding" -> Scaled[0.05]}], GridBox[{{ RowBox[{ TagBox[ "\"Specified elements: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["1", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", "6", "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Default: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["0", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Density: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["0.16666666666666666`", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Elements:\"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"\"", "SummaryItem"]}]}, { TagBox[ TagBox[ GridBox[{{ RowBox[{ RowBox[{"{", "5", "}"}], "\[Rule]", StyleBox[ PaneBox[ "1", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, DefaultBaseStyle -> "Column", GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], "SummaryItem"]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], SparseArray[Automatic, {6}, 0, {1, {{0, 1}, {{5}}}, {1}}], Editable->False, SelectWithContents->True, Selectable->False], ",", InterpretationBox[ RowBox[{ TagBox["NumericArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real64\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"5", ",", "5"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real64\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"5", ",", "5"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Data: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TemplateBox[{ "0.7148636291593407`", "\", \"", "0.44976083476301043`", "\", \"", "0.37460468622703424`", "\", \"", "0.11792444179764261`", "\", \"", "0.23469910744862865`", "\", \"", "\"\[Ellipsis]\""}, "RowDefault"], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], RawArray["Real64",{{0.7148636291593407, 0.44976083476301043`, 0.37460468622703424`, 0.11792444179764261`, 0.23469910744862865`}, { 0.12155371653549607`, 0.22460863055341296`, 0.7149438240408428, 0.6924720773196671, 0.3174583735129932}, {0.3975555898456231, 0.7904344617389643, 0.6375591800325766, 0.9536753772596409, 0.7152320061757613}, {0.9334228965296587, 0.4288800855241215, 0.10757479694112915`, 0.5458069626179172, 0.05825928547878778}, { 0.006114937069114701, 0.8809304395419781, 0.14050032528945922`, 0.12189089139231268`, 0.09830233448463721}}], Editable->False, SelectWithContents->True, Selectable->False]}], "}"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.8500000744831524`*^9, {3.8500001922449007`*^9, 3.8500002170941496`*^9}, 3.850008736056628*^9, 3.8500170610721164`*^9, 3.850017100546566*^9, 3.850033466849284*^9, 3.8500493641598463`*^9, 3.850050586939842*^9, 3.8500509460479136`*^9, {3.850097608854019*^9, 3.850097627510721*^9}, { 3.8501058461353455`*^9, 3.850105880546644*^9}, 3.850105992898076*^9, 3.8502644275426645`*^9, {3.872481299345231*^9, 3.8724813032305784`*^9}, 3.8726866101725197`*^9}, CellLabel->"Out[29]=", CellID->983408110,ExpressionUUID->"324cb1fe-33db-41bb-8753-61cbc845148a"] }, Open ]], Cell[TextData[{ "Use ", Cell[BoxData[ StyleBox["ShortInputForm", "InlineResourceFunction"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "0516f38f-ada4-4304-9923-8d11b823a838"], "[", Cell[BoxData[ StyleBox["expr", "TI"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "1976ed92-b84d-4809-b2ca-4a5132644c35"], ", ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Unevaluated", "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/Unevaluated", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "676af43b-a4cf-4e30-bca6-868cf9ad4328"], "] to convert most of them into actual input expressions revealing their \ low-level structure:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.8499999579738398`*^9, 3.849999990187608*^9}, {3.8500001125729713`*^9, 3.8500001414263573`*^9}, { 3.8501058928566837`*^9, 3.850105906107727*^9}, {3.8509183616033907`*^9, 3.8509183644099817`*^9}}, CellID->405355463,ExpressionUUID->"8c31d4a9-89db-4097-9b8a-e588f1c7250e"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "[", RowBox[{"expr", ",", "Unevaluated"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.850000149116291*^9, 3.8500001565453606`*^9}, 3.8500001877612934`*^9, 3.850000220697343*^9, {3.8500087412988462`*^9, 3.8500087417070494`*^9}, {3.8500172136235027`*^9, 3.8500172628115363`*^9}}, CellLabel->"In[28]:=", CellID->752634079,ExpressionUUID->"076ae1cc-1d6c-45a7-9ea4-aee9698a8e3e"], Cell[BoxData[ StyleBox[ RowBox[{"{", RowBox[{ RowBox[{"Image3D", "[", RowBox[{ InterpretationBox[ RowBox[{ TagBox["NumericArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"20", ",", "40", ",", "50"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"20", ",", "40", ",", "50"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Data: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TemplateBox[{ "0.19558830559253693`", "\", \"", "0.6244687438011169`", "\", \"", "0.508919894695282`", "\", \"", "0.9944472908973694`", "\", \"", "0.412850946187973`", "\", \"", "\"\[Ellipsis]\""}, "RowDefault"], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], CompressedData[" 1:eJwUl3dYzf8bxttJaJcoSmhoaNE47/uuVApF0dSeKmkrFYnsTbJHRnZGZM9s heyRTTYh5Gv0O78/Puc66zrnup7P+7nv18s4LiMwSU5GRiang/QhMDbfPTs7 dsJIpf+/SIwda283Vl76VFt6mUkvO+nl5+MDm0c9ucRHjvrlk2gfexMVF5Ro 5XtCuK0dw27rrIWfuxvNmo04eWEaTul48b9eLpz39g/0217APPygcKwrEyee jWfT2heYlt0fv7x7cs1nJZZ82opu2mvFztM38GPqAdF7TwbNeQByU4o5PbZR POuby/rHyjxyYxvu3aB41GLKmdt0efpRIj7a3kDkxYOuF2TVUHIwl/P1H8Fg sTsnTSjhkfMm1FOcjetzunDB/URhfWwqrJveofpDT2490JP/7bKlUaEj9Nwr RGOfCsi7yvB02Rrk37mIG8UFcLddKnqt9uHSp/dRdbWEIa/TOEzbEFbextwV YMa4JzMx5G4ST77oz14505D4L5hXzxRzrFER1c478tucPxix4zh+VdvCpN0V d35twJB8Vzauy2Ufg4tYOzWdT+56sGmOCtuOleF3jQ19L9wQ2d52ouM9T7gO 8qPtmCz8lxhBsy0TnJvfRdDGbCNmvHBmp3vWnO83kd+Vc2ik4YIVyg6c170P D61Wot+4i+JTUxxfPfqKVTO34k7XHG4PV2aXf2P5sNmNPwbOwoM1ZXiXfwLL TDYhaGY+LY7mMELpqpj3sgYlQ63Z2KBDlYZIFkYHcN8uU+pu7spnOxJZIP8f vhkEMNTYkjIfY+Dp2ZeG9zM4trFZEhjiwG0d9fllky/DJS04V9kHZmFdKe+0 XFwp08FphRoUrtHn44w84RJaiYJ+g4Snujy9e/zCokYvbgsnpj6/gfWzq7Ei uwPSttuJu/zjMjc3ifMXj+XlUn8m5NxG45eHIsbMgd5HAjhlfn9+CjzvurF7 OPcovcXea55M/U+LXk5uzI7SZoCHPxc+tqC8RihGeujzmfxzjH4UwK/Bk/i7 /bmwSJ8nRIoxO1dNZI8V0fBbGMtLYwOo8XAoH4zry1mKSTSt68vB0nn284hm mfdX1KsvwnFnDd5/UYhZXcchsPyqmG05Q1x4GIGUSz35MG8Ae67Vwact9fjd kMIzymHwSmzG47gvePI3Whz3kzDuVRFn37dH6IHXGNnVl9Trxba6aFpcHkbd l29x/2MvdrjvxuN/I1m/2onWx+R4OaZUmI/S5Na+mZgflclBgQ8xd0sxi8Pb xf6GYg4KT2TPP/kcuFQGrqqeWCtnwZKPKcy5N4G35Py4+u0YFm22Z5jPcKFV fRW2nXS4/4QShgSaUcc5ARM/+rFPZFcu62KD7U6DRQ/ZbNht1EaJQQrvWr2H 1rIJDCpOo8OrgdjSq5APahXpe24gdsvMQv/qeD7KfIsHyjHUUmiDyr4QGrev xOyWVGL2FGzfmo1RrW7s9TyGqe5KdHwsg6+jXbhqbS9mXUvno8mPkD89guaH nKleYAqDpRXYV5lNn+iluHoxF8hTp2TZOewZIKFS+DosOTuY406HuTjGJOP8 plzu0JEwq99mPIuswL3q/bibBlY+SOKKtVVi26/teHuVOPX9N9SPtqPD5wpE Jl+Gmnciu843Z2flOBzwH8w7Fz7ie1ouP2dbS9KcetO372U8Um6E+tex6D7Z jTbPx3NLdC+ROHsFOj60xDb9N6LbzSMoDPLnj75zUK8whtN7qlNe85XktZEl ioSB8F+VhW3bo7iw13hm9ZXjNO84KoS9EkPsu3NCq4tojMniyWoPrNt4WOiv TWbmCA2mTopkzx7rRGSEKeQy16P+rSwN6t/h3Hk7vL6pys3LA3hSJoflNV3Z c6A3Q+f/RNzeOA67os87z2rxrnYwZ0m80W+Sg7jwWpGR8zP4/s0IDujnxcaV qXzuOxZRlvswOXYdbGLlJEMHhnPDgltY0K8QFooJbGn1gLGfGf+L7YXotnZR uiaTO8dEQ3wU9PMI47+lesx0o2S21yuhUPFEbIqcxNffZTmj4I+wXnVUPHp0 DG3XTKixcTYO/LokFidvwLnFifjlUcyjj7K5rNGJfVSU+bwolGPufsN/Azvz VVYBtzVpcHfCYLouOI2+hgWMPurGGG1tIbEv4cQzsdQKe4nSsyqs/OtD6z// Cd3DGizYL+HRC49g2lXCNpPF2L/yCGSe5rNZLoz2LV1w7pYTnV/qCRPFp5KW +6F8MXUoNWaV4rWdLENaVYV8z0g6fTfn6xfDGB74CirDnVnzMI0HdnTki8U1 cL25CfeKunBk9n+4rx9IRemOei+NhdudESz4vVTcvhHIns8tqToAyPljwcyE Hjx99h5Ga8uwJsadwSn2eBm4VVxZUieW9E1nn9d7sKJ5sZjhpQG0TuLnV95M aU2gatNx4ZfugIWykdhcdgTmg4yxw+qC6Lswmkr18mh62B9Rwpf3rt/EssU+ zOhYzH8b54qFb2MY8teYNrnJ+GrQlZ6FwbjYzZZLPkSwpccxEVL3W+x89wAK ctm8N6UEGmb7MSokhrZtN1yDVo1jlwcuTON3DH7Ql29CJ4pA2RgM2vsFln8v wjBnAE0LFVi5WgGNuh25VNtA1O02ZdDDrbjoFMEJbp/EgJpilid34qGMw9jc 14XOmZcwb80fUTquhBOS7knijpyUbH3WiKzG7WiMk+Xe1QOp98WRm1IS0GGV NccGbYP1T38eX5op4jU+YMWR8bTpXC4sVqXT2RLsdbA/j0ZZU/HDSclShQ1C 3ugzHm7Zj/PuCdw4bium3NAX1w1UOdvhFzZ5m3Ju6l7EPg5mtERRaFUkcOIi f3oqatJK3oEnI3/h+roofP96HMvbNku8eybSf/R0rDsxgWdLzWH9bREqRDEb Zt6B89x4Rt/z5oq54TyRtwD/STvonk8I8z/EcGXfLEZsDeHT9n94YLQD6v0U OP5QIS0tVggvjzoktt1BechGrNlQiD4qAWw6PIzPrbJ4Z0gJZsxYBZXUQTTK 3YkslRNQL/HAqo1b8Le0TVSWfca+9eR+Hx+ekdVl5ZXjcJ4yio8j1ovWe4XM mi8YFFSKDQmusHjfhbczS9GttA2WeudR3XsSPt76BKuZX8RcFzUuTx7MExUD kNZnFP+dU+Coq778b4Auldc2CIOVK5Bx2xnGOs58eEuHny+dx+KWsbzlKWWx kv2oNcyly6jL+BjZi3ltEWg6b8oY//4cOuQQzCVprKp9h6L7MXw0YoNY4r4e P/suhPXS8bQ22QfLx2ZcrhPBek4XW2oncspCZ2aXzYfbiaPi9eckjg8NoYMW uDNCkQXq2bw/7wyePevIoGxfblPYh4MeA4mXvag92B8JEeFcU5nLkOhxPBPv y6+fZSl72YKdM2dhbnCL+CGeiISTU1DTYIA9Jl3YPc6IJRtmYVTZR0ydZM16 8wJ8HOjAGuM4MWbVXddBZ5pR/X0A7+QKPig8guit7fjzbJlYeDSBldc0+Cc6 CRcWujHTajLe5QVwZU9ZBrZGM+3KDyy9Xy55eyCPc3bfhrrcdDGtaT3Kx/RD xIpOlBuoxvXL+3Fvww/X2tGdeDJLVVR3DeQ2d1UmvZHjcSkvpvgP5cQvDyRK S46Jme6rUHbBjWfsEthLtzM8D99GU20o3WLr8MmxH9VO3cAmJ3lOHkcqOobD s6ARs5ck80ClBtfeuQ7nZsEKfxk++uhJt2mh/GFhzIlaASJGmje5qjslCYX9 ueLTQLav6oDEYA+m/YzkOgtTccL5DF7cHM2Xz8PQv/MkjjHOpW51Hv4z2Ymy GV+hV0OOvSaLQX3G8ZlpLY6umyOxrbwquqgpcYjeY0TfSue/0EEsGjVY3IE7 q4J1ePitHzPzO9B8lhqme+ny7z9PLmitgZphA/yeFjBnjqzQOj8WrYtkOP/O cKTjEE5cCGc3YydUr5yCrg0NaHoqYQ/9dBQtl4fWrcGYID3zUXbTka2fIr6o y0gSVxZz+YNY2r2IZXGcJ0+qVUJ9WgonS3n8V8AT8XJOD9qN68bG4X3pX7MK x+buhWvtVfFwppRn3ruzbeBghLVFI1JGggwxiI+eBLJgXDQnvH+CFbbbYfv1 KV7UjaLm+jxxM201Dss70TjMn4/n9OTIMj9qT9qGWTWdWHXtJ767PEH7qSno dmwcM8JVae7UignqX8Wgh+FcaJrOh683Y4HcaO5xsGbIrwTu2z0d70dtw9n8 t+hiG8OfGkcw0rMAWk327D9ivnjqPB/2Cx/jd54MlVyzGDJlL7ZU2aP6aT+h NFadWRP3oqtfOtdpDOPHeV8lYT1CcbQ2C31Ko1mbKM01L+L332zuWt2Gswmd eOvHAPaP7o3nizT5Qes1Uuu3o6zqKhIsW/H4ZQo8vr5Gp3db4WgynjUVuYjo ncSE7yele7IeMqOa0T19D9pmX8TG3scww2cNln5KRVGkD0fe6EjvU45cMdaL V3xN2KbkQd+lmly1uwWtO8cyqPMJ0W38T0ws9+M8Iy8+uxQlzUiwXTeclft6 ctjHEWw32omkwSOE59UL2K6Ry8vdM2k6yYMTmxywvHYYLA8twfjR7XjztwIP LMtQKWstKe72CpaGb9DpMmkR/B4fS23Y1NwTSn/78krQKC5Ot+GD4u6sOXBU TF8znhfXpEs+lagwfYTAiq8BrMJjbJ0wBScGHsGnH13Ye8RSYbD1HZTfnEVb Zzd811Diuzvq3D0sjFa9F2NG9gC6Wp/H5EwlKevH8FaSFfeFHUL1CHkaT/oJ lYA0TrMYBLUuN5CZdhFldR0wszWZvgeXYk6/LG6nr5DXuYy5hUn4MTSIf675 EQvu4HjuK+FTJEeD4DBRnnEI2BjMpF8pWLR6Py73D2Ob2jUU7Umk08pZ2K6b SaPq5egc9BSHZfbg/ohU6KxVZ5RJKtou5LHbdls6aMJ1cJg+ynpcF6eSv4rG C5P4Ld6E4yKn4NTfE5IVwSZYYDaAjT4NUFYZi/8e9OHg6RaUrOmIroPtWbhJ CQNUVqFBti8LyskPKmVoebNPRPVsw30RweOZtvSsKGCD9zihUViEnRe24Pah uWLfim3w8y5FRc5U/DYo4GnnQDalxmDdIzJtpj59B3RHKtR4cE86nwZ2p8yL mWJDaDhXdenEA2YHxPkpqZzhaoe5v5YgZWszNpxfglcywVAc8BrnN0fz6a0S 2mWcxvAnrRg1dRyO7U6T+JpnsWJAKU7rP0Hp0eGs/u1HRUk+Xt32ZlmsKQ2u K2L7FxVeuxnNDrfk2UWSQtd0be5e7sNdu/twqGyU6GLWld19VNnHxR5FRr7i gHwiW4P7MnGyMSb/nAaVoeO58FYh3+2cjrlSNx34L51bgqS8+3UUpgo/HrSz 5ZczXhy3SZGfHv/BWMcLGGTxEsUpgg+X6fLK5d+Yeb4Ghz0+IXjcIjHEXIPD knSYOCeXMar5PHa7WSzRKOSt+R3xa+R7qStkotk7BI0Vj7Gt3xj2P9qfRyz3 iYyCHDafkeHCdlB1rAxHWuiw/udNFEw7gTkSVUT8yqBziRnHp6ix9OAGmE80 57OvUt8+msezla7MKY+lT2kNmr6uEiEZK8XzD1258FgH2kw4D7n5DzF9eDC3 xIWwocCGBwOHM6r0Dj7v2YPe7VfE6rRquDnMh+yzZS5bP18Skieu3LutO99N 0KJwlHa6ch73PyzD8wHX4HvjNd4sToKu93WRcO8cquYfhkXaYvxyr8WbrNmY HT0TI9qs8PDZG9ibZvNW5/c4eKIZZQ8dOWLVdUSv1MPI3ufwMkKaYe+1+W6Q Gw8dS+OuN2Ew2zEMhlF1sNwYiRePLWn+2I4tJdnMmJTCn6tDcbtstTgQ2onr uRilZZ057XQMN83UpJ8JuedGIe73Nufs1Q5cJsmlQdZv4KIfv+Q9g0NiEFO/ nMTq6lz2OXgFSQ574ZFyC69r9gi3KCvOjEzkH/lLOLTMnLOkXD9aqEIp8Ts8 94zloeoMvvthTtPYVvGq83ds7LpJKMypEJqzp+L6X0UsdSPNXK/je4/7uJWd yn+dR7NhmSbPbFgLpYsTuDayHXX278Tytnpo1rjyTsAebHypycrwfJb+GAzL oCJqSWej414lelyJolaSHgZtSqF2r7VYe8yVO+9dQ7tjHU6rVmD94ypcdCym zAkl4ustcbc0C75L46Frm8X4K64cPi+EYQFbcHRmIe/mGUuK+ryH/0wJP//4 KAImBgs79SUYNVNVaFd/Ea/nb8D7Fz34emBXrO6qwgEhNlg9+Q8S5k3kqqAU ab735Nr6OFT0+A2/3VFSB+/MolcdJdNNBnCaWShlPDJZ9HYqMl6ai2lpifx6 8oawmzsHfY2HUmX4XMQkr4LTV2W6FBkyz1CJKzyT4ffMHobvL7mUPa/G6DOP cHp3FvX0YlhS5cFzzp7s/W0cc+fOw8ttnfjpZjwXK6iKG80joTw2BQqn1wl/ 9WTe/5HILXeM6CBnTL09ZZIpT2YLn9zPuLw8mVMMXmDIoYUi0HCR8D/aATdr VXlx6SfMWV6L8SEmdJFvwBbVCexyLIj/Ri9AtWIDdjxO5uIdW/B2Ywq7PDXn 8DPR4nHOHWiLDJ72GcDtC05KFneV9vB0TThNC6e/dqwwa03iZsX/cOO3E/qN eIfaxVri3zgfPmIkN9hEMWlIOfzPS/tybQwrn90Xkzb+hf3QLbjYK4quwhnD Ut7igFUSDT8sERNmJaAqT5uSFjt+cypg8+CO/JQ5F8edz0FWJo4Nh5TZ29wM ZQ1D6XfzMKbbx3DogcHYn6TK8QO9ULwwGGoBY+nYJscdDyehdHApVsaAqd4K YrJxgah3CKTHNEv23tuZrSVt0DENpOwsWxb3rYZGow7ytsnxlm6qyAsz5zm/ NxiS+ALnbJVg9NAU1/XNGLa3SiR0D2PXjd35sksXDo35hWjvH7ia5k2d834s tdGlUoIjUk7PwHfrIgw/PpGrlZX5p18I78dOFxprj2DF3PdCEScRMEzKm7JJ 9Mzpzrl5EvZrjKVvYDir+laIe7WbXOed9OO9u9YM7RaE+YffYEVmR2amDuPd yUmczP68GFmC1iVNos/pUO6u0sOG1H1Y9uE6ii7Ic0Y3Qavj9fg3VJanfmhx zt1PSOtUDZttq4W/cRIPZ+fy1OatolPFQE4+fUqcabkPXTlrfDqYDTmfHugU swRro+5g8s5POBTpzHzrYi50+oftW26it68/xxtacdeZNzAd9wilq0+iQisZ +4MuYUb4aejaPcKQR17wV1VgwKf/cNfsAd5NMqFJb3eq2XfmjLM7hMN5d8b1 y6HjcCdqHwqjX/AIdjpzAD9e3MVjzW8IfXkfqXYyvBG9UzJaP0loOsSzLkig w6QuXCc6Ms5Bwv7/ZUtcFgXS5KwRapPlWOO8GyqHclma4Ya0sEZk7zXjjStH 0T3UhnUpcfBu7MapE1JQeeg5xh64g/cv9SiZlssd+bJMqV8rOsX1Zej2ZtG8 24Ypx3WY8rMdXbfbMfZVIH9oRVD3ug7j9yZSZv9O8c7pO8LcG1F4qxtvPrYT s4Qt3x4Ywqg1o3iswZutvxfDb14JLjRcFf1WFrCpty3TbMypU5NNX8Nc5O4P pEWpGjdtq0B5X0++6b0G7d3HYILeIhFqMZiRDxfj+PxQfv2qy7qyGjFFeQRO Sll2xD1f+v5nym62sZzs35Hha0ay6/Kf2LrbGEZTG8U2jRUYcVEdO+x8MeFN CW/+y+TZIFWmdQrnseWq9CwLZ/0cWT6P14XMsN6c+iMfLqEF7O3cgUm3c/H4 vA6DR74Q4WvjOb/PXIggBV4OOoah/0bhsOZLkbX5FLaM3gM1lY1i2xFvkVoV x/Rlaex44isOm14RR6eqcEmcEZZt3Qj58l5c1kGJQc97CMnCBmwYq0wL03Ae FUWw3fAEK3t15/TVp9BUeQWrr9eLpM53RWtzDtvmDGJ8yDp0KdLli4U96adh xfweg1EeZUKHxxocP7oQ67caM/N7MW+UJNJAbSDjskMZFnsUCdtjGHjPhvGP CmiuniFqDPe7DrhviaSduZySCtZ2uIq2Lf1ps1nQa+JlFLmHE+t24fPN7Xj6 dBc+WGli4uscrD2pw+/5f8TITr8Q/vgSMpr9aD7tK548S+Jjm43IXm2JX6r9 udHci/30BBJc7ooNSoo4tng7jMOr0ee7M70tg4ghRRh6KYUaM5N4+YwNnJHH nb0URa2/EffPnyGsKusQLwHrqt6KjeeTuc73HJp3dKRKfCfh99STF7rVuxb/ ihMrrm2BY68nkmb3JK4KdqD87HH0T5Dh8SkFtJnSIubVX8enoymMUlGnRUYc p6Zdg/cOaw6bO1lkd+1NOfkSHpodw41/VBijUCu+ePrwloUzeylGcMboKrxX 3g/bVBea5BhyXQPYfM6ESZ52PGGtApNp//DvBxEzXZeG3TeIPwdLUb7hsatm wQ5sH2YL15IWnEidJnaqHBZPd3yR/Jlfieg5j3E61xSLgutw5UQ679TrSVwT mnBu11qRXDuSBouSqZOXhDfVAXzVebtknvtz3L70CmN+hcO1Lpuzsvvwl28o PZRqEbzKCcNUN8Ol5yimTOtFJanX3KYq8+c58VazDofsdONh1QYsqHyFqtUW rLXaij/lypgYrweNnROROqMfh4hNuIBInkUCdTM7cGPsTJH3YTBTvD15futT RDodEDsKnBl2PI2P1M/AzrGAq5OzGTXDAR3cvHg5cBT/SXw52M+GY//Mg6v3 LHH8iiFn9BnI5hddOUz7lpThe7OnT19uWBLF8ORhPB6QwnEPEih0xrBYNhUP KhXx5EIvnA8cxgPJGUz28+O7UxOx9bIfv0kzfe+aTry6azwufdanmuFkjBq+ 03XbSF0h1zeVLx935pAWX2Q+82XKjjQ65UoQnJPJ8DkdONvLiCY7gEOxSQwJ 68Lktm04ftsDN+YOpZt2Nk3+mDPCTJ2dZFREa3APevq0Y26wNr7HJguPDl5M T/Djpaxitgf9xBQ7Ay5YY0O5IWZUKfwlZB89E80rs2iReg1zYu9DOdMcR6Ms 2eq5DnELE+m1z5/DvoyjxvXf2Fm7ByXHdfk+XWBRqgErji+BWq4q119txTXv 9xigrsRtuvl4cU2B/T58xkMDTT6tfIjKt6uRcbNCrGj0khJDR57b502GG7Fg xEDEPzuKq4pLMLfjb+i/axfywbeQtskUps1H0H+wBUNDViJywg/EjI1k9y1W HNkvSezulMW3riXUG+pOu+WNCH16U8x9M5j1RfFc5TCET1rGCNWCl0L/4Fj2 Vk9GpvdEzlEtR6ilMgua6qDdrM47pa+F1q9cUaGug6WqU9G+dSc6/06HB1qw tnU5aktf4dr125jg147Kddcl3woD2CjtuI6jq+Eck8WVLa6c5tkH/VseYeSP a6jUieX4cndOdi7guiWjueD2HkSPNeOUrjq4Omc3Yp+9w131bAbMT4b9JXO+ 0u8LzyPWYm7hLJh17sGuBzzE5x5jOeL6UcwNWSwuXb8vXvrp8+0qD7Higi9P 2wVx3SV7yrzJ4ou4HPo1B/KGTQljF8tRNlAVoSXeNImXEZWZm8Xit6fgKtph vlqG2cZ1YlbKJGoNFXC87cITlhZY7bkKTS91+Du+XPJYLRyXZ3hSdYIMb4cW iitXTbhp337U74pj7wHp6NbQm7KTtqJxrpTvg8dx38liJhU/xYZMeQxersvS IQOZLN2LjYbrsdE/hPa97Kj/6hhMvwbja3kTjv/M4gejYmb9HCJut9eKfUWL MdCoJ56Pt+dBaWevO2iNk3PTuazIEkPePEba6GfYOSKLRQVaeBIg9dz4XP7Y 8wOWPRuwZ6Q8e4lDuNFlOgzqhjBGr1TysFWZH4avF/Jax8QwB2XEH9gvMjb+ lWzgLcnrlXWQcBBve/uyh/MOyZZR1jzUqEynHjuEbXkmj1QsxK6d7zBWurOb WmT5qTEAnlMsaeRtRoMO8qxpCIR+aT4MNj8VWoG+jH2WzPyf91CyroSfRydJ jj0s4cuNQZTNmAFXjc/oFqTNq8uO4t6mWtclhzeKx9aOtJ3dmW52S6AS1oEP swVfjlblDvfFwsxQlcE5mpIDe45AocITi98Z8nBwM3YdsOYIeUu6/VTAiEI5 jhsUyEW130WG8gHJUykLBXiNwHiRIjY/sqUmzLgp3p8D958QMyaeQIGkC9/d zMP86lvIXGfI5dUTef2RH2/bS3NYZ7qYb7Ift3aE07S9KwduX4r69baY5KjM /E72OLZJjwMctVj5XuqHBx6JVSONeen+fnH9gSy9/YayU705m6qKaDxPndd+ d6XK2+0IavfkuLR64RYm3cPhPhxlWofaLothu0OZgZabsDNRjWrdQW2NSTwd kscdSX5cPS+WVbVuLHmuwJB7Z6B86Tu+L9+AXb/P4u6lt0hIKqbE4aBkd798 fp/UjapK2TwcWkyDKabckT6cH8Re4dqizHOaDuAseyEai7hbbSHGasijOnMi DRqK+KrWCA1zp2J/9n0E9ToOOSsNLvnnypSuWnwg9iG0+DT26W4Gjf9ixMEH OLHuIkZu8+UbgwtOXYIH8qSDtFfNXiJ1pzkvlJzE0lNk0puBPGC2C7vGuTGy xzcc1Pdjy3V3BGT/EYP0nPD8wEr0bh8L5YM2Yt7Mj/hmpics3ijw7eJfqJoS wn/6DeiS1JtWQxL5cfwgvn/SjeuVxnHMrnaoDB0JjWGqLHPbAfvVvXhd2ZhR nydijFkLjCOGs1OEP471Pg/7Z69EbvJJXFpkwHVL52G5hiUH0plQ2SnJ+z5N 9F7szBUrEnF46EQe3qTNIE0zHl25UAQk53LLLiMmVmjQcGhHlg0r4ZJ70t59 YMj8Xzn0WG3H2y69GDx3BE9+8eSeY97s4SSwIq87K5LAhIsRdLecAcNbx4Tm SFfJ2iuLUD48nzvPe0JWM5pdZ3RmzqcDOG9hwvDi5zigaI8x9itxTusX1hZp UkUuAE9UhjBueAhm2w6hxpZMLpwoQ99enbjmSbMYlNiMTQ1D+Fd1uDj3bBhm b/vnqvFSmcnzfLl0dyB8/oum26MZeGCly813Qql56zdKPr3E9TlePJL5F8/L teF6bAhva59BvEtf/nznypfdFBj0oQxu7jJ8vcSWPpV+ENb+3Nfpmig+WC7C Hpbhd7d+6CKXRCODGA4+3Yjm/T3xX2Mc5+cE8AaOYdKmnlQcsAN7Rrng0aZk WLdqsP6YE3uaqHOAziimN8rTc/dXmJWTeh2OwP6WPbMc8hBxLZvW2cVcvGAf 5upLGGmwU3gktONGqwUDG9Zj0ZoMxOQaMGLtbcxcuxIRt0y40Pk+3mYsRGbQ ffjcCeDWzvrMXZ7HwVLvzC/R4lrDfrTYm8FV0OHMVfocOu+e8D75C7bddkHt TypjOYA9h3eg/ZxINvVx5F0HNe5qnEgnG3BybzURUroPs1K3g2sd2HLwMha4 NuHnwvVYV9eP/c88w6i2XPa9twt2S7vy8rEZiJqwFMmdiMq1g3jA6BJuSV2p 8pse1xp3YNuZyVA8GSgq+9dDT3MrYqo1aXXUkamSrpIN8nJ4MTaFtZMtKOtx Cpw2F3lztcWybkb82jeZNsqytLCahj/PXVlr3I9X11/ELcYwPXYzvNbLs3/P zpJtfY9gwYtAatYqcY3KcJ5Iug61Xa7sZJrOf6PH80ZDm3g30oqWQ7ylK3wK ileA9nFt8F2lx6igTP7MHI7X7ZbU1avEV29XbhmphW+zGnCs5hSy90xDw6gJ 7LlNg1v+aHGQHrjUfhHupW6EUXIqtfPTeeRvjrg4yIw/B03kiWm6cNq6AV2y 3Zn/fYB0nusQtMWaJzQFJ0fIcMwNR3gt86Jbsx3/09flvZ5nXTPidOmcLSd6 BCRwl8ddV7mFTZC51BdfjgTTJM6cD5aO4vXyY/Bt6cju8+aLvZ7uXGkjw+VP t2Fi796cvK2Q3tUj0OOWI27JL8A5DGOT9L20BhN+ujeQ6jI70XpimYvfoUIp 66+UXLkZQsV2PxFztgsuHjagQ8oZNH5eg1cB9lzRsgy/yl/jz6kinpifztT9 wzH9VHfUjI7mBDMXel3uQg89ewQ+VeXdKHMU3nCTNF3Q5scD5LcEXYz/pYMh X4sYWHQWkwMsqJuSzb1HTqN6RjZ/dO9CmqzAPVNvjosfwe4tvSWvvi9Bn4Nv MHHSBmhUR3PG+Y3oNlGVr3YF8udKeyw+uAzZyQuR3jiSv4Nyebesv8icNIl9 JBa0PfoU4eletPqWRmXrXIavqkPeqiBeWhFCyaYNaJ3jQqstgbQ6ogrVCC10 eOjDE49PYZPjArQ060rCC2zZb5csq1THUHNaT5z81puBNbEM4woR6GvANeON eOmEJqP+JmBR1D+J1xwrnFnyQuK5O4w5BgsxVJLMVI3xtAmcLdob/LjC1oaO V/8TXVW7YkijveRo0ynon+zDOtVxZHCeyNNcgBKlQVTstRrD+o1m4uliVul2 gYJ2KbyNusKmtBPSZbdiyRcDjqn7jZFlA6hgJqFL03lMau4lzVQjHmoJ48kD vVmwOI77x1jRJ/QeJM0XcXV8IZ/63YYphzMkzYsajRJx/OUazBg/AGU5L9Fi 1YIV2b3YNHkC57tn8NP0LF48vBnK9aO4et9OfC7+C/UK0vlYJfTCngoD6w84 vucSXnbQ5K1Nn3BaxR8du6Syj0cf0m88W73dqFgkYem6eNYP8OGi9b4YkhuH 7UNLqDWvL8svzEDabiWel3xFoUIpcq2lPfbGmR/n+/GAujsbzuuz8mkg7ybI sljade/TLfgtL5iqVpvgoFCFwNM7MbEhivb/onl5vTMfLl0npt5MZqyDDRWj s6h38SwWzXIkFaaLGndlad7/Q5f8HF54fhLBduqsuWDE73tPicDF7ejgsQr9 yzOgnz+GM2UW4tzd5XhSvQrrQz1ZNkWW2mIkvbuFUH3YYLhbShkttQ/0C27j fWh/fqnegaxvjpww7QPsXv7EifjRTK9y5tF4Ocm+4wewKOY1XmzuA7OxFVKv 1+Ahr2t428WIUy7OQnqgK68s8WLq7Tb8+ZbLsYWP4HXXm9b/FPisNZc+P3/g rJs9ceIlTGWCOHJTLxr/S+fD/guwu3s/+tUVszV1N4x7PsWnOUux8lE6z7CE Cp3Xil++awCPVHaM7i3q0/358E0L5nRcKrbo3sHgHi8kJf1606ltOo6UdeTl +xP4KXgmutZ2RNdxPZl6tyvdtZRYp+jGA1vXIfJYI27fGMFzQ+8KK/tzolfK L8y5vR/3nsdR44E8uydH8J9PMMM/r8PHZG8Wd7Pm8SvXxNTgKyhYGcOyHmZs zozgiF+/EazTiinWzejS2RgGT9olW1u16L/nLGpUD4qDNQa8vVRJCJMlIv/j aYh+tzGxOpPq3kE0Vy/kzm5ezLaOxYxDgzjljPTcfPoLr7pGPDV24ZLPdvxR pQjVpgZx3qobnMMeSKreB/Cq13Y01ilzUD9bPGkcxKKclWJr8gtkJWbgguwz DK83pA4NuNKaWDR1LfSkeT3s+3guXJZNtdMd8XDaRoy5mCA2a1Qicnx/bt9E WnzSEiNfvUD/Ck2cOnEBXx8kU9PxB9od21F9tguf3uvB5iOajK5RpAh6L1GL 1uVUy71wSZ4q6We0HXvkwhg5OhOFU+5hk7oxFU13wjg0hxudimhlt0zYbQ1n wsxRyDL5gi9n1kPeYg0KR0TSZ/8JBD96iydaOuzV3iC66L8Ts3R689EqDV6M taD/kB2Yc309Zpf3YtWFTdBYl84NnTox8pLg64obSLeFxLmuDw01H7rWDRnP 4P+G0tv7Mq59Lha2g83Q500lVrhMwZ5l9/HscxqVTq1CzbrN4nnyb1F1aCOK V04TU08/FJ1W+VH1uwxSTuiy5vxbLPMx4wy/SdQoAn5rzZZA5xbG2bRj2l5t Rm8O4D7/pzgeGsGZzyZRrWU2NC/0xNPgofw09iwipYwdIwlh/Yd+dF3mzTtz hzBnmxfH3fPH5x3OtJDLw7f78nwS3JG3I2uQ3fZGTPDswmfq46lmaMs9nT9J xsSdc9VZ4sG/r5JROt6FP5bm4bq7Hvu5rIfT5Fp873sY27vnoXKTEYZ0vSqG 9Y+U5nJ/3o7JgH1YGL/oeLJfaAiD8ydia/sk0jKfIzqtg/pAbTbdGS/s9Bfh 2r8KYVLcnREO9jwt05eONUockVqD8QpPhMRvGBPWx3NBZRpnPVNjb/Ma/GY+ F1u58YpSCffrP8aRBX1oaSDt7CmKXDfEBP5WyTgh1DhoRxE3jzGh1apI/m0Z iVWHdCSNU214qFc3Gn8I5otYO5E1P5L4IihCNKDQQ8qHegNo+9KIO25qcr6X BfrajmC2yWYs+hBO94VWGGPzTaLe94jY/PA+zt7S5rUMwfqsISKjyRZN74L5 +0YaFdWk/K+mRitLLbaf/I4bBl6QuRfC4f2OY9JOX5r9HcM4ySsMlfLMn7ln sERdwuX/BAO2O9PaMICmf+sh5H05Q/MOkhbV4EehIZxffECJaU/WNshyXII+ 7wZUYz0MxDN6YXAqxSzK40reP2G/M5t9htfBPjmeSR8MWNX/L0bdGcG4MzKS vJYJ9F9iRdHkwr1BAeiTlsYbfzvx410T3nixE/WSSfTveRwuUped7RzFVxWm /KxvyG3qLhwQkcnrero80+0u1i2K4b0CRyhOSWSiyVxYViXylUc4P6y9IUrL 9qJz1RJh1d2BB7zzhdP0h3gRaYOJv/dha4ku6zo9wINVzpypE0THxmVQO/dI TJx5FF1ap0M7wYw+2alU1jfigD+LhWHTWHE8YC8s0kwwaMVP6GwPQcbAFtFr jyYXDDTgx3N+dO7YjuTRRySRlp5seXIVS+MK4PBzl7DZVgnTFer8ePad2GG6 Dn9SnPlie39ev6DClemG/NKpGxtXd6dnnhsn63pj0+xwzs8iPknvl2nTNJiG TUCfEdr48DmClwweoDGyDohsgWH5EQy2MMf1QWqMMarEvKYB1Il+CZqX437l KVz9USvxsHgn6fBTiVeuhaJcM42Xwxfj/OYSvh7owFtv4rknXxVTNM6hewcw 6nu8iN1Vg5s2WuKp20AGa9py6F0p/+V2wa93T0SbwWeYR6Tzy9DxzNBO421N c1paqeLjZnnuioHkep8DqNzRjt4dr6FmUoT43dOFQ4LWYZGbu7hb1wsDVSTs 2UOBraHm7JZsAvXJikJzTAq7K+hQIzid4zy0aPNfBi2WC+R2zmG4+2jOd+6J 01enoDQ1i2MsRtHGQur/m1/i1yEPmhUtgdanSfy6IogGR8uRrnIabz7fxeV/ GSh0OoYuDlF8Xn8Jw6ruY4PFU3xYHs+DYhSj/xvLV0W3saFkH84FefFtXBlK zihBMSGJ89X1ODNzAPzCOlDUhvDWhM0wHDiJu4/Ww7dLfzwY/0Ysrm5G2FAP qKyw5bS9EzjI7hA6Kwux5XYIjy56goPGqxFb8BhBOa9E2eEYpuQkM618DJ8G eUp3oB9fHwvikekG9C/eBCdfNwZPqoHrR3+cL04Wh26XYMLXQnFXOrdZX7Pp OU6Pp/RCOKDvGEnYlB5MGOTEBaXXxRbvFFqvkWePyHQxvD6Mh+q1WHHVi/k1 HZlzawRbEry5VVWHW484cqDZecge+CaWHhnF/OvKPKBVwqhCT/wttcFuo59Y cMaeymduofSsCdKXLUfYoG+I3xwN+SPprJpzCuOfeNDwmS9dH3Zii3wvinIv YIoRHA0Hs23yYKr6m1LxlwUjdMqxfY85nIY40HbzB/Qcqy/RanPk3HgpP6RE wbWnPK8vVkKiviJfV+/F4dWPUNI8hE0GQew91Qk+ixMQNbodFy+cQ/zaUqk/ eGJc6WkUnLWggfS8PXm2GmecfVGROh9/NXvy+ooP2BsuI3KUJmOnjzt/61Xg yZBhtFryG6vPjWHHRY/wqCVXbFlhwTTTt3AP6Ua56YH8WDuMM56Y0srLn/Ib ekie6Jugf4MZ/YNmodnDmbZTfPn+dysu3gnl8Fg1mJpnSZ3xCvp9bcOs0mli 0LghNMt0Z48qGToPmgXTriW82TuGU94fg+eR7jxx9RU6/vuFAyfTqXphu4jT IvveNuJhhyWw6i9l2R2ezK6dgJsXp8PBdgxbrt9An+PptI5PYMc8RUZP9GKX 5lN4kJ9H+/sqTK4K4JWD04T+LynnKetxxSgLNs+Sul4y+DakH7/qONFwYl8O GDUak2RHMOz+XdzcXYYnwX68WhHEqCfxbNj+HLexXPTudhk7pLt2Y2sJfrc9 wZrPcfQ9/EVMj7XDfZ916JGzF8ftydWtM/D9ZhDuWobAeOBplEtzePw4LX6x j+CTfX8R6+3AnScXY425Bv0G2yDvyCRheKuH2KGbyKSDxZLM6A9Q8QZddNJY czCLT9yHMMB1HJ9NXSeWnjkpcbFRpG+riehsZchnanfF1tHyULiYxrH7C1g6 OQJ/DgYyP+AEbG6ncPjyjxggdYcLy7No+knaA+VlomGl4ECfm5j8xoSf92+C 4pws+sm/Q2pf8lnWQXSykP73GwU0pBXxyIVgVibYU2u+IWcpJfL+584sclwE bSkjVVyLhbruejyuj2eLSyTf2mrxbdpevHmYxxsehRwhPUtzZ/RkdZIy7jyQ w17pnmnnHEMH659wOXkT92b+k+jaSj8/8Q57Ol1GakEzeo4JZtctI0X308Pg NHAUh74oF52ChtLvTBUss/0wcIka5VrdOH/UKvHhcU/uXHMR2rsyOcN/OKfN UYBb+AVMSFqAwRH7xSB3cz6svSLsHkdiglUojUK/iEdr4+m1Yx4Meodj0OxA jJ1YJ+4Zd2XHYh3OeJuDc3K+UHUopP2CTYiLn4ofA0L4dHQClpZYo2DGEN4z 9+QKRKLW9xmMR2cIW4VVGFdix4PD36GsvYA3zXN4Sm2uaFqRzrBGWaY+G8E+ u8vhPu8UDG1TeP/PIfzID2PbFmc+SAtgu+0QqUfGkBcd8c0jDVbdc9lecRqP U7YgbFIme6xVxmwfHc4sPe0aUjCQ24xseS80kZ0jBctG+zFwzwpREgz28NXk 1N9dWSSrQMk6Oz45cgrZs6/BqHchp7b7iyWV5BqNvqybZ8jzd/M5St2LzXtz aRfWkZpHu1KpdSByuiWysPE12uNTGeqvh6ibm5HWyRPv1l3DxW7L4LpIEeuW BXHICiUO+7oLHWK8uXTfT9f5OeqYkGXOqr2L8N66DwdeMmJEySwx4YMcvQI7 sE37J+xvyGGQRzIH1WjQ/HkyXYsUqFgfyT879kqzPgvprU0ITFPnP7WJrJAb zQX/zHmx+jMeFUTCt86Hq67FUmtJA6qkbNksN44PR0lzuTCK1vnumP03ky8m GTBsjAa8BipQ82cKZ8SlsfX/Z0N2rhg+2YeFicpcO7IOOzsfxjKLsVjmLYv8 VVdwMf61OLDIRVQ4N6CPgjI/FlzC07TBnHIrB5LoUUxs1KN8zDBKFv0SldWy 9FaeJgYilVuKf4qbh7Wh3GOk5NuwZfg1+wMylo1kgVY6Zzul488OCy543yi5 KnXjui/xNGpL5KP9idweloFmF1vGlPehzZZ49MjuzvcqeXTbNRQDO5pxhMp8 lPxOo01rIsJqY3hqjb24mi9LlenDsbJBGYee2HOAjpu420GTn2Omw95iEN3/ fcB2uxzJrS3VUPOpg6bmAH6Q3pOypgrheDqBVwZuw5e9KTyTsB7vp+ZxyIwE mqxchgnb9fh702aUn2+RXNr3VCjaFbGDti81F8djxMTP6LUiDlcaluJD9Al0 mLwZtpNk2K4oT8utzvSZKUu5ZRHUHCHdfS8j1rCA54rjGPX4oxgXIMcZBgF8 MM6V30bX45ztFiyVdod/5F0sXz2Bd7aZcvjUWswxGEGM8eaeB5ux3qMN4w8r Mq50MZ7+eix0ztSj5e0YvlCtx+/V73Et8r6Y2NeTC8Vl8avehHVWF/FDdgtE 5VbEd5DhkfCZ4rFrHvsWF9BzoQk25Cpj/ef3Qs71p+uxcBk4vrRBe52ER872 xYKeYdymYSI2fU2n8oCOVD+0TWze2AkjF+zAb80E7lPqytwWPw438OSbo+mU 8fNh6RYvjHzwW5iHePHdcDfa9lDhquRjkgRTfXHMxY0bjUfw2sfO/LqpBtEb TriKSieeDNyG/dMH866qPjsoz4Jk6glU1mVwtViJvDl5/Oh7HO9Hh8NoENln z1BcMNRiq+xwusvqsmzjWejfqhaT63rwikI+o25JZ5ylwY/PvsLaV/qbJyNx YLIL3lb7YqXTDVf/nHw6ojevXGzC2WULxbYLnijvr8Tm9epcn/dDWE+LZcz9 5YjUH8FR1Z7c+U06f9sn8FVRoXHcYWE/Zx3SHiwXG9rWipKY1WjY6c6FI/sQ LWCtzEoRsUONIVKXObGhAiKzJ/utLuZkJV1u7ljINWOfQbvdVjI2VIeaJuSX D0o4lqzPU/UPhYJPq3hXoC3NRD1UjxlL/QOZdBw0joM6K3DK3t+SX1v7c3Gg JW8HKKHhwFEo+izF3QhDekb0wJ89GdzxyFLSdXsRLlV+gsyfHBQ/keHyyBI+ hTbmHJyKjcfLoL94LW7v7ccbX624yKITDxs9xnXLSpQaWQgXxfu4v1uPRftD sWaLE3utkc5/tmDHVEVWbc/lnbrjoqRqtMSpnHi54Q3+q5P6dR9Lakw9CDcx lFEyOrBS+Iunre8h5LaIBXf1YP7HmHv8FOkmieaOAQZ8mC914AxFJg9X48ey P6JtlxX7azlz0Qwznl5qwK0ZK7GmqpD/9i2QlFdtE2v3zES9zhg6LrXk75AO PF/4EDY7i1i+M5XnS+2ZV2LCZWodmGM7EyuVL+HBoxaxQTpz1z+hDMZAOi6O 4oSWawgcZMenZ60Qc8iG1uYrhYdaPnRPluFgmzbTXB3JjG24POQvcodpctDG zlQxvI9VlNDnaEexIWAGbuvL8ca5u/ggZfIOfz+KZoViHpugwckuPXCmbThl zvrww57udBhPZm3+Jjm9aTuiXbcgdnEAR4nOeHXRDF+GkfvaqrDGzA8Rjd9w ptMJqBrl8dmHUTQprIa71gxxc7IDF7SY8ndTGK/mB/BIPzWOsTNhV91Y3l49 mvN2mvLPzgrXEoVs/reoGeecdsHKWon3Y4toNNdOWo2fUfU4FFaOg/FgVhkO X01AxWhZ5l24i9fSM3j3WUcG/jDkkyBnnlySjRCN1TDNDmSHq30xdVwPJoVt wWXNfH6J7cFw33dYXx8qIjYuFdPcjFk1ypovO7+VRHUaDblZxSzdv9q1yw5j KMaNwMiVE3nubRDPRJVgXWkKvaZ14JL34Twpq0PDhN/43dGXhisKGGDtzhRp pleFS70jKF36/QX4WJUl9Q5weGMkjUPMuTdPm68WBok9RX9QXLhfLNIOYNLN eEzpnM5pj8MRZpjC5c+kPbYmnMcuqkn3eD9O60URCwOY0KOE492vCsewaN73 EJKaPCvq3OrLDJ3b0Jzpy39Nb6AclcFnt3vxW4UVV898AOOLJ9Blcx4v+7iJ PgbTxTLzFOau7csVDVZU7G1H5QujebbbUMS4pPDof0684GnNP9Up7FDtxR2Z OSLvujc1n6+S9Fs4iU7TfTmjZiSrZ7riolsK5ylM4J41htQJLhPrbkQLVSdf 7l5VLg55NIiPj6OkPq3GBQUCFr+PwP5fMY8WzsV7Jwc+dR7OZaaTgA0fcbZD m6RlTj+q9OmMow7ZImHPUBGaG8rUzpHcn+qGxvnD2GrSHZH/vmCD3Eg6yfyS jIpSFZ0b49nZSoOv3+dz7PAiXin04rb0RL7fNQMxLS7M+O7CnAAbTol2oGOs H8c75ovxhVVQ7V1M59GnRdPLu1h8X8JfWh/xZuN26GxVxY0yPf7Zp0W1+un4 mOkLmXEdxd15pqx514dZ3qbQ76RA3wKp98zrwMU/BWuNJ4qPal/QJtuBZw+4 /4+C84zr8e3DcBNFu1DSUBq0S6l+13mmtEuDUkp7KaJBRrKFrMjKzPib2UKy yd6ZWZmJkBUiz+95f3/ucV3X9zyP483NeZq+cIIMr9eM4ZG2BB7r58OUGQ3I Ct0D2U0fEFUegPbDtpCTMlvKTUMu6+Yr7UcHdrfOYcDxN5DVvoavenHMLDMk rPR4/IU8D8ReEjV1HbBeYTgz9vXjqlgHjDoewyXP3sDGYyPqOyXhw49+DPx2 ALpne9H9QT6jdT243/kfjlREsvOivphWfB2P/x3FgWULhI9rPjOUNNmlaw30 jkTz2flhrFBRFr/uzEJDuDYv5SwAug/AchNdLC1NxUCdDQhwqILz0DZcP9yI 7ksDoNs9i8XaJ3F1zmx0UTRH4JpruG6gxrKAx2KZUzrvBl/C5vhcdNbpjKVm U/HthKWwMdLAMrNyHB/7C8XTovmv5SBcfDw5y9+aWUba+FpbxMWJjzBUYQ8u L+zNxb6zsPVkCH/6OFNPYSwjkpzY2XG3CCkpwbpe00XSiGFILFDl3iuFTJi4 DzOuFlF7wxiGqD5Hla0rw3r7s+TlbqHXfhilLkuxa+lffLAbQa2osby02YMF 4515Z9YvXL/Ti/kFk+kYeAJnBi2Hwh1HuCz2RfGyhbiqrcHcAEP3OmHLbLl/ qHT14AXjNVi3wI6e8SdRUGYNh7ByJGzvyZHtcvQsCRMP1Qew7vs1mNYoiu7t ttQLDRe5I8czsYsXs44vdw8b9sdt9pb+HD+vByV9xkO/XBkj/p4Wc15HcPuv QyhPP4fBYan8fvyB6PLPkdM9R3D5zCAeStiBjNdjeWqcGmfGqdP950Icicng vPzVmF+VzLEDt+N09n/oplsq3jd3puS6I+3dFdhh3FrsWtOA4nkWtFG24pSL z3H38BVJWEasyM/x5uYtETw1qhg+F6QzMqMDSntfxmFZR5p8MsbO9y4cMOOE 2OtMLHVQoN75cMYnboHjEXMuuGPNf2ljOOrFGYQPPYcLf72hqHgA1V/7o7Ih iGmNn7HgSACtj8hAdBxKv14+lO+awONfp2NTyCFgU0eahpfC4582mg/3YZpC C3rXq+BuxGI4RnmL+7LqfN/DhosXynFd9w6Y9KUef5N6IOTqUKarzkJCxg5c C/Fng4kO89YY4dm+98K2SwfM6tmMu5ElWDynRGL2aAU2ZQ/hqqtLsKv/Nfdp AVbUuvkaHrl+bB80DG+954vFsUP4eNlgtvhkY3lsCsNvjcem72m8s74UDYXP hHLHVBbvmo3QF4ZMsI7Aac88breMZUfmo77lL/pO1mDAuyPi6IQgIXd6GPvN MEDpr704FjiGs28tQy8nBeKmBkO/uvFkRQfxrl7A+8sA4vRv2Mrk89vqHKlT LEOdVj/K91uAPd+e4s/iCey4sxljmuz4xCCZj+tmo3BHlETzqQbiPK9LHWk0 //NLwLavkUi8EcTXZyfg6KpdqF2Sje2iP58ZqQu/qWoozihk3bUS9689lsO1 vDcjhQaj53XHsvi++BmrTcXxHbBuWjKL35Tj4vk8uhom0exlHo95N2HnyRei 3xB3mH7KY91nY7ysDGPRgCNit9SxnkTLM/K5DJ2VvIV9ljY/hQ2g8Q01Pjg+ if2e+PGTbFfMabMWO2UWo8k2mQaDbfjzuwpM/kxgu04MfSaNwOk3B2DUoiCs a5SxYrkb5XpG0q/TYD4292SH9H6YaJ0gGVWwVtwoK8VyxwqoJBdxgkMJmr6m c3FcN3ac7sLZdaPYVr4UD2w6csDqf1i6rT/TdSz53q6neLSkFvGKk2m/TrpT 67dLxmp0d192psattiSec+szuSpmCnISZkuWHyzE9BYFpuWPpl2/0zBS3CuJ XX0HamF3cCCtLysl3yUV64ZQZ9BAXuwgkD4knK2231Aq9cHhUqbomPZD/Bum AKWUaA5TbMTKMkfOzNqMIYcns1xfHj/32En9z5oXNhViWa45hH0Njk1X4hvb EfBsHM1OMs2QDQYd3brRJucl3lYr4N3hwSg/pQGfynOQNRnIbi4PkeDZl18V y/H8j/QM1wRy6fnRUjb04oW6BRj8PpT3mn4iL16N6putcPhAhdi/TTA3aBxX x1lzdJYpn6cGoCE5QxxqvIWVR+7A3S0benfe43pgHJdK10RpryKn1Big9el2 6Kz8IRLevEfFFFUo13fm+87F6FdixtJhM3DffjmynzdivtF75PbVwYQVcUx5 osx6bEHojnG0HDVNVPmYCrdWP2wz2yXG1lsxN7kQW+XaoS/1TWEWyKcyOyWh D/MZ+MAOF7OMmbcskcf9/RFzP4mW5aq4P0YWc4+NptyiDcj0sKC9xjMhem9B 7SU/VqeeFNl5mzBkuYdk7qtfCLuoKNmUeB2Jw4P5ss5Z6AzsR7U3W0TTwNfi ktYRnDFuR0SILt+W9OJcGV229lfF54mPUbk6Gl7uL5FaWIaoormYU9qdTtuM GOXal87P5olp7fpsGa/A5sL36LUxHj/V5+CH3AjGWmowTNpx17t1YJ/gAXSf 2I4MvXrswRRcLP+OLkq6Ym/AJPFlrpa0q4exm3UrlCti+eW1HGdeHM67f2zE 0eKH7kM+nkBbU18e97LGhBgDTijOwe0gF1bckkLJ4GOi04of2DHNjm46jyDT uBkbByzClwJ7LnbNkBQVbBIdpJc9UJfj0c0deDBdDpU53fjCNYUjck14UtGe pusO4/mEPrwdOYyly3oxdRzY4paESyrrxZ1va4X1zjDmZRnjYYk39881ZJuB IbX/hnHiliL+0vbGtKhMYXb1HHr1foB/f05KGud+FxppN4RdoQbddswSTzAQ Pq9OQ3uaM41ldrk7pPTm2FGOzDSLRWPWCLoWh3N7cyWG+Noyf/YoatbZc0nL CbxOUmFJsS6K9ydJHg0bieBFoQhKlubjO0NWGHpTopfLr/dsOam7Dac+tqVs ehaaOsiIoTKnkStvy70vezH5swKqY8bxfcMlRGSa4Ml0GZ746c21+0aIe5rn sevMOD5ocOOZjhOxX6dOJGo4Cf3AM5hXIs8Os7xFm9R/uxmYUf71IXGnTMJ4 E1C2dzqfHJTFjukv4O4cgbhHdxGcbC35kpjNHqtvigvV8egV+QI3qo6Ie1YH xYI6L4aMmSn6FxRyeE4XdvRtRfBScsHKQTzUfECSeFEOhUe8mZyYiqvP1XnB NpRvdWOhdH4txiYrIsvoG0b/fIW9Y9y59rMnl0bNkfJZDrf07w23+R3ZK6lY rE73Y9PjDXiyPYx2QcoYciqXwev7CL3OOTyjP1zkNnbmMOfxtL0djaS2Ttyo 9QYZG6348F87ek71EfIvr0L9yxTeXxqDNm95vlGxFetKLNDprAOmr5rC3cVN wn/4CFauGMniiybcuiifvk09+OfScQzhBygeNuCIwZrI9h7IuMWGXF+lxpjy wVj0wh7x46Zjg1UmCmNvI8GgB6893C95ei2LPytrMeNyF6y+Gsq5PYOoc9kG k2MG0/FQO2wrdXjtohs6vDLgnOdqnOcjx5BX5oxIyMbWXHU6zfNA+uNj8K5R F7fsAvh1Wxe+bm7BoldWlD8ciOP2++GU1A9bxybB/uYjsXrWbnSqXI6i1xfQ pUEGLwse43DbROzI24bf3xL5Y1IeNvv3pP6tS0jXPIYPiR0wZKYt911VpZt1 OGM6b5WojdgLo9Rn4vktI94ePhd1ldfht8yXX6x92NtSIr6u+47msvOSD/c8 6HS6C9fMug35G+Tbk8582nsFxty24wCJNWsezRBjH1lyRIkRJ1QUsDrKnT6n iqhnNYVZ2fo0XLdFqA8O5sdBGTRq3isO/Mng0kZZhNxvQ+ffITz7uZCVUX/h 6b8BN2cYMdW+O+t6PYfmvyD+TjiGCZNMOLzsDIwbe3Byl0IGB5jTcdZm/Fd5 UPKgMpOG1d/wI8uAqTfyeXFLrVDy93c72cuZH+6l4mPPaZjcpkVPh2qM+70M 4/3/wGXPDBQVWbDxoyqnZVnQQncaMj2/4OJ8J+FbcBpyk/TplXJDtEY+FGr6 UTRIPYrtT105Lb07r2dehsx/mazO2YtTuVXoxiz0N6TUD9dJbpQcROTsOOz4 6MSQtjcwv9ERLY0D+XxdNqd+sWVg2GZRM+grthU8w8dFXZi/vRnub3X5X8Jy IfswjEEu6/FxuwxM1KVeam/P4q5JPDi/KzeMTeNay170jpXjM7tsWtQ1YdL1 NDxWs+P4VQ70SE/jCvc+jHsZxj0X/4rE6xfh0U9epC7w4ywfa04/Ycr5faqg 3XE4fd+EM+iKFY9MMaWk/A7UO35H2+Sn0IwxYZjfT9Exxpyyrbtx3ziX3zWP Yul6I9464sBBHgn8q75ZOBZacW6lHtsf7sO/dymS+tABvGQ+kvtCbdhtkAXP 7zkqojsp8PPkMXx3YhDtA0+K5MNDxbQ7H4X/VkXeGJYO14TFyG+9hs07lsFQ QcL39vckfDkPRUcL0PWwF3esVBYviyayR+071K0r5KCmnUjdncvVX5dDbuph /JHmcNC9YyhZ9hlldWb00HWCUuYUxtbJ8sKDNegtdZQEf2269dwm9DICWLtM gXY7FTnsmhsPu6TyXrAu6yt2wmChJo+VWUD1zVkYDU1i4EXpfKjcFUNLuuHc ym/4c9aKnbsncblTO96orMT910F4ubyTiLpVgcsilvYyE/g9K07iZiILSXMI zTY7cahNV56YW4dLVz9I1LuGcWfgJdiu9xNt/lfxtyqL+nGyHGwsIyz8bohB GyyhmWoN2RF12C510b4lChhbFclGeVl6Tn2LbZejcbvrKPTts1C8XHdehE8y gGmuPl9fN4F27XVETYlj6eQArEzWZmHGIM6+thWvJvxF6qufqH35EE0f0rlP 6vUJaYpcOKoP5WdbofMcR96aexLdlsrw9/4Zwsc4jV+s7GEw4rhQrZHm1MVW FC7aB7lYJ66x78Flq705fXUHmpUFcZtJFPpGjhYxht2ZPX0kR7eOZM0ee55I qZGcXHcN5513Ijy/THzTuInuXVfhx4GJFKqD+PieGS7u1+chjQyO++xGw4gG bF9qQKUzVzDqexiz53fgPJNEXj50HEbrl+P78Eb0OPAX8a/+IdlsBN9+1Ofz ORn0j0/ig7Rg99dbJwjvad/R66kbF5UqM3i2Ag0qJ8Dn9mRUvXZnp92jiU6/ 8LRBmwsmTeTdvhr0GZSLE4Mm0ZuJCBjhRc0H9pjlWYlrN3uycpY6ZnhkoK+v EQvcctnnChl3Zzjr546j7+qlSBgQzt6jvXHj23osX9OEB68c+J9kDurmvhFn V1diRL0OiyPlYaPWJCYvUuO+D1q849UJjaP1Wdb7MxqlvDzyyDzcifbDTJ8n +NY8kUULDuDAO02sPe9Pg5B0PhjozdZ5RyA78ZFYozkLO4JO4N/VcJ785sKI nR7Q3GfB45giWW8aCe9Nmmz45cns0I4iyvQfAlPuo/yRIpzy3djuFsbJGRPZ bcB1XJ/hRPfdNlTJt2JKTArOFAZA1j+eH4JDuS7sBaa6KvLTSQVqVJwVjSfN uVYMpnHNSgnlzBkv9bmqR5Zi6SMV9F5VKFYNdufzJxns3VEVBj9sOVYyjhHJ yly8bDTDdWQ500cJRvPHsUX2A2rmPBF9b0dTu/oEwn+NoFeYDT+eeIgPE26i bn2VsCu3o53DBfHiixdb/q4Qr5JHw/ysqti6RwNXPn/AhDnT0VW3XNTly3B4 oDp/mmeLKXdewn+EGbAzn9tsPXBu8kKEqB8WOrUdJX+bLsDAWBH3P13E5IR6 kby0Ga+WWvHRXQ/c39cM04/x3C2d4yq1T+i705d1E2z5usCGMW7x6JByHDHz BXsylP+9f4LfTftxtvkmEnNUqCO7EAlzFcQg9WA+++TQP6fUmFENHiy90h8H /YbR9Sh4cbYhJIaCc39lsYPvD9EStAEKLekcsPg9Gv/bhZ4y7fiinYCSDGWe 3atM7/OFHKaawCzDhdipHsc5gTEcN2YY92ydhR7TTsOnYTTWLVPCSp8PWHZQ yhAGAeLEo10ouh/B7+4eVHM+iWLfQAalZqE03YiH18ZzdG5P+LgUI7OrM920 0/g9sgNnx9vDynoIRpZlii+dh7DPaif08h1HpQx/Bg46IwYrpzNCLZcFMt35 zvy8MP/uxXejaqBipIFpD+IZOdGVoeITdNuMYd+aDMNaB2rs+idRdb4pEhpN 2e2dGr/8vIq8Oive+FqBc1nz3c/GyYhP5U/gOq4Hn0CZ2+ZNl3bxQ3Q+P47y i1J4ubcDL/uRBSV0j7tTxDutLWBaDDO7ujHnyiC8TKhAcXJHhufNxcZAH+64 rstiEs+mRks++vnR6lgOXU7059Kjn9Hj7nFcNvcUYSO6MbOgP/8aD8F1fQ0e lmyEyY51IuW9C7WlPjx3fBrNZnVnqNdoenaUY9y/TIzKHM7YvvWwXlGLnMpC yEjzbaZGZ3zp9hzzy1K546B09iS5vO2WxZ1tanBY1wZdrWJJsysxQ9tREjw2 ShSZHhZ5155h0+cF2Dz4FT6fbIRxigySk4OpWdiJ1rnnUHmys/h6txOPbnNh v+waDKl4JxnkIahg1i5SLmSIjyefYeFBFdaFjOKi9kls1I6hc+oFxCWel2za tQHrN7lxv/J39JsTy0+hWRyU5kKt7e5EyT+xqHe+JMNOk9YNG/A8QobKbwLZ Fp3F5sRJeH3/BFJer8L2ASH80sWDr36eg+KZD8LqW09mWGzGgVnd+OOSPc1b NJjoYcwZt4cJVym76WxZgQKTTyJfos3FWq/dYjvFctkSL3bYMRx+p7KQW6AM D2nf9gs+B4E4rh5dIwxWLxcpYwczYcwi7KjogKe1HnxrqsiK5nScrvSh/JUe dB9ZBDEkkJ3jxlN71RCqN7YI36xy5PgboenOCUQXDqTXx2hab8mkR1BvrrmS K6moOoq1J/WFm9oP8fbyFjHbZIjbiiP53NwzgjIr9RkS2ZWLL8jQceExzF8f AqdnVTj1PAB/uo/kDJ9BfHbcnsYpPXlttwvvZ12H9cNUqK9y4bZjxViyNpga pt8RN3sGJha5cM9ZZ/b93p+e0zWZsMKERgim+q9f0Lo6jvfrIhmmbYfIP+9E wBo3nMm05sL9z1Ed3InO2luwQ3Y77n+UZ6eFQySPthnyyLhufD3JiS/9lqAp sjMfHuvJN27fUBy5HF6VerglE4dv6t04o7cb3eYooMdIG9a0xLPo8S08iliL b9kF/NSvSjI1aa04edientIz7xmvwV9tujz+yZKDj47ljnkmLB5qTMv4Izhd Ng97hxmytemapORDK5zfatIh3ohztvegwX5vBnv24tDFMbSEIW/9HMTF/l70 H18N2zvqvF2zBy+GO3PM9R58lvofLr4CX3USbDd0osb0Ydyw8S86W8bx7xBD /BoUw30nxjJ5fhMqzbKxpO2bWHxck6UBy0V1ihPPBlpgT/96RNf3YumSCNaX mLPx3zu01Et5wuo+Tr56gEI/R8yOeQO7SzWSbjdyua5bubAa5AXT1IGcYhSM knoJNRYdxNj2BJZEO9NynwNb/O/DbdAPXNQwJvMi+PigIruejuTHBW4YMHMb zPZdw9Vt/aX5LMMtikN4eHQf6g3NwOQlg/nJsCtrx2sw7dsGdCldhNRrgv2X +CCwKYyzlC8KfZkCpoS+ExZfQiTLzM/hamUNPGLOCR/p7AeMnoOAP578J2XN 2pHKXBo0Ak7hlnw+IpKxwhlyxjn0faTLmLPrROgfaR+KMow50psqwZp8sG6b ZNmvj8LlhA5P1f8R/4wfoSZ7NFcFdZX4tsqyp7Q/ayfmc9USDR6c1o/KkiAa Zify4lQ5qk19AeW7ltx+yYkz+79GofI/fEueRK8LStwQFQCvUVkca7NNuBiq C5G8GY57LXlPdji/H5+GJhcPBisswAKZpfizPoWi60JJQtQk5Lw0o6zoxfpL YNvDICxRL8aUaTE4M1aCFZrfcXqAFbdEZeBoZDqFVgA0TD8jb4wq3XWX4Yza M0hcYqkztBv37RzBHhPH0Lz8IrQG+qJEMxb1DzdALE/nTLNg/tgMTh8Vyin9 liNuhS39rmbwfUsIr241YdPQwQz/NVc4rW0T9d534R+VzlOO8qxW2Q89h0dw kpkK9+NuTH7XmS+838CvdCzV/b4LX+UiSoJdeGnjJN5Su43OzT6ILfaio7lA n9i9CLmggr2f9ZmnV8hY7sbCiJ/wsNajTrYNRPRm+EUtg/a+3phvko1j08fQ oyyErUZ7YBM1ELuy1bjtUClqL/tDLUHCe66OXCyfKyIaC1nlfgly66zQzzYU EVdGMUZyBNMHuHDxQE9+TNkp1qwN4Z2phZyXNRWWjiGsO5VB05m+dDKPYl6k LiKyKlHoO0ds7N6RCUP6EhvaMcb0Coqle1Cg8M895mwQf3rm8d6ZHEQnZovk bcO5r9CL9ytvSHatzWAwbBB7uj9+3pqFQ7e786yrBRem+nNU7WM8OViFVdu3 4YrYJcof6nFE7x4c5hTLwlE+bPzUg9uC07l5SSO87IwxLcseiS2CV8/sxYFw FRQldeXhHWosqpgB3/IQfO5fDY1Rl/HhuRm3To6hS9swvOi3TLjpK9NFKU90 vT2IiedKoT++M1QvPEW7+VbMPbofzVdjcHltRwbUpzLpRyjrnvTE9cQHmNvx LTT7jGHbOmO+Nm7HsK+aXPEwgx/TbkG9MpZuVwwxryWZsfNs+SV0P17USHms 9yuEzOnH8z2X47J/JsLKV0qeV+3FyI+B6PB9KMeUDOPQTv0lNy85oHfKRI6r HUzlBXG8muvObrWjxJi7C9E/1xmJ5YfxddVTcdJUhoHjm2CaFQOcKMennPWw XvrOfVkd+e5PJyamenNOkTNHuJvyyS9bOk2y5r2j0l6er8To7X3EwQXDJOve VYnEA1OYM6WQ7XfLwNE52C73E9+zjXBeJkscf1yPme1TMClEi01BJaieVcDL natwYt14euS60tfoHY5vaBFnOQZVh63Yfpto6qlHral9xJKqkyJ1dg/O9uvL 5xppNDilxWkdpT1+qlb08s/g8dhmZOiBZQl7cMHSBNNqloiPkzZhwsx29/m5 l8WBNCVunPlNcu55GBcu3yKa97WJ3DoTTgyaC8/dalRQNBNfTcwYYh3NXdJ+ mfRwv3vK4F8Iz3Rkd18vto5So2RpCI+5p7LCfTKvDohDlepgTrXdiKZ12Rxc 1Akf1OKhFXwbzXrZeN25GxOjfuFx817J9wljOUNpH3LXTMeK+VXilfcjjKnX o9n+AcwcJfWn0S6cc34BuuWAGks7sHx9ObqN7sKez3oi9H6iODqiEvtf9GZT bjt0995G8I7zKJkylJ9mZGNR/V70D7ST9G5ajo2qxdhoc1PMF2bMvDGZl9RH c8PV7TB0cOW8e08k8zduR+PxWxg8RpvZNaVQVtyDhWdKhM/a3UhZ9RwWY3xZ oHQX4Qcmce+DvZK5c29J1iY4If20Bqd2c+epOE3atxxA1OMOvBK3BGsHuPJy qg/HuEdxZMpwlHeV5chcJ9hvf4fIFkf8iRzPxo62iLMLZajzNGx/Yc4sDqCO hgqVouR5b5gnrSpyqdz1sturL7+R46zOunNGWJGnTEfrXFosmyGi+mvw2rQh eJkXyn6S0VTvOoSbjPtgevwgHr0qi5Xn3TjA9Beq1vTk8rl1WOlxQkKV62iX 1+OQ7DzO0H2Jedr/8PbfZYywS6XcypHce2YL4oPzMGc7cFd1AbYlKMJitia2 bRuGDldTUOuYyvVSFrgvG8y/C9S4f+9hXDJw4oeKXrwxVI3qeCUWmqnxqedm fP4UKZbopTHm2lNsP6vOqZM/4NlkK9o9DHC/pvEeM5TT8TY+U+j08GXq2mmQ s41ktL06+19O4ROPE+L7mrHcWu3NBp1b2KztR+cTJWhQeixe9rslEnRJ9/Hg AmNHPnkfw3v/9HnAt4/473AUVF+2uv+424WbWpZh1wtVvv69Vyx+vxf+Tip8 YzdV1JjOwZSvcizZ7oAfr6zhcHmNKJg/iLkmyrCbdxBpC0px5cd7DE07CE+X lUCOO2U0bRC93IGB+cfRb54rs7vtw0nfdO5ZNYmW8+eLxKEj0Twwno0f38F9 zUF86HpYjMz/ijv9r4rcPkE8aPcDTyoCyFWL8du2P1c0dEax9gvoL7yHwQay jFAuF4/twnjmtSmTp7pzSv85SC4PpUaiBEdORLJryFA4SNf7zeIjksc3olEa 2o26PlfEA8UDODfoLsaOCsKpo9eQIhtOPat6GJZ9FrO7fUGaZQ4z648jICWe ayYNp/ekNPqpGjBBRpkmh75BPboDPK7pwsjOgst0/fn9ylmxdtdqUSmrxYSe J1Fyc4sICdfhBaXh/Gh4BQPnnhZuG7XYqujC3EN38WtbJNNGSLn/+gie21TE nInuXKVTgvnSXip9ZUu7/oPpVuvD2VuHskLpAMIn30eBwwD4VLxEa/hF2PzI hu6+1WK+dxRHtCaA2e/B7sqUe1+PFsktaMS4wsJxM/ZlB/Pp+Wf48fYixMMU YdyiRPm7Olz9T4Yrk10ZeCiNn3psx4toAz57fhV/vwcxI3EXUKPP6lVdqGm9 G2+r5iGkxZ9xp6Qs9H4wV08I4/ewjtxTfQpr/liKzXOsccTNnZv/+FC580Mk LALMZ3dg+ubVGGhzA9vfxKGLFzltmjxfL1Cmapga8u2G4tTjEUzWjmZWRyXW fU1lrvkMGCVWY/BPWZ6vtuC/0omcZb4ObmHOSG7bhMiZVajzsua6kUa8Pk2J lrtMGOreBWsV4/gxyokXVucjyFeDnQ2U+OGwK+eYy/PuLV0+fOfJINNAzN7v SMNAe2RnqOKzlifHWUfxxpepMJ/8EwtN+/Na5+1iUUYJ1s8Pg/VjDSb9s8PO SGKiqx7/+KlwfydzxNUrU8dxJf58cIJ7Y5kYo9ks1lovFkfDzdjJ05njTw6i 5vpX2LYwkiEXhvHjvJuorA8RShGuHG6YKc0oMveoNtzGl0HGOAndrnRAVctQ KTc3Y/sWZ/ZZlCyWa+lx70hlcfv9Amj0/YnXvmNp/WgYuir7sNMpRert1uDY bZbYE5jC9DQ93ozuSK1oKSs9LMPUZB22jNOBekEA7yfqcX7YeG5pNePPlf+w VfYles254N7VMY+Wa8bwu+JRnHlszIkrhnPK6y6SWY752Pc5RsytVZH0yn2M Dwrf8aNLFC91e4h3LkXiyAVFWhdNxDhtGTrMVedGt6vuR61cGPwAvDOqFnZt XTEw9wL8ex2Fp5ynSH2yEs0DRnOj8xYM1NiLFlUZ7riSy1KksSV4sdi2/ToK PrWLC7IdeTn2LL5F+PL40QUYvuwSviUuxaIldnz/FdRKvYo/+fas/mmC/osT sL69DFaLctnRJIQJitfEuYbhPOZahIGuNXCf90dM6DiFDRPVOeuYE3s6nhW5 e/syutmTFdPeoX1DAddzvXh5Q4at/ynw0TcDjPd6ICp/y0r9bB3k3uzEJtMe XLijD6/v6k/HiteYZnsPybtK3efatmLIoKXoOuMbPjStROmjT3jj2SDpFrIa 5qodGWN7Fd9zN6IkI5mlt78gN6YA91c9gsEbZSq2hfKrfKO0NwZxYEoqb3lM 4PRZIVwbMRQu9/JZ73gFAU1TMXPdcezdlsYhOwo5LcyMAxfGM//+AE5X24by VhtxS3cP7myR4/rVe1DZ0Cpa1ibSRDovA81KRJJeHaK9enKlmQNqemky9FQw V51U4uVqF6kr9OBtHS1u2T6Wn9rjWXW4AVden8K6GiUo1E6k38nTImK4Cws7 B7FLWTomG4Xx+psKlC2fhqiUXTBKPYyKil/YetmepsZjGGnvyYWH/Lj5cBHq HLV5vkINI2yi+Sb3IorkZuCcpTmv/nJj3OP+sPimyjcXjPnHJobDc3bBK3AC f+8LgntmAmScu1BJxY0TXz/H7i1vEVPvR60tVtz3zpC/0neJn0UmvG40iVsX DJHMvNCP07074mb2ByhNPi8Wea3ErS4Dab8tmoFRhpyoPIGpNWp0+/sZU98p MW/WcaG7MhNJZtU4+kDa6ZZz8IVLxDXZA8I1cxR1Ds50f1IJRg5rRJRMFM+2 Lccj056SP/e9aWNdgZAzttyUfRM3L3eBQ/sG1DwO5S3lWLpMuoZFRb3ZrlYC 2/WFNNUMZtGRWGYs3Sd5YLhOku1owR2NObRsyBL+t35jkK6yuPY5AteURjNz jCHX1sbw3OWONEq2FE2Jh8Ul33x+D3qIezMz2Py4Dx+Ip8g4N5IK/R6JHidM uT+uFXOzgjDung9P7chCvyNP8P34Qrwc6yT+uyvln6ZvaH38UCyK7k6TXorU uvAJ89cn8NC5SyioTeT4Exm8/74XLhxeIm7oNYiFjUO4TP8xJi6eyO9m4fyW 58bGzRE81JqFC08O4L3cHBhPU+GdvUa83y2RRx/ncPzHdGEWbMLj+no0eV5E x50KOPNiNAde9KbDWwMMfz1KPHq3A78OfBPvtHLY88MjkfTxFDbOdqKJzQCx uuoLztSa02JRD9h88eCVQVqs8NVifsUa+PwYjM43Xoqv58ewxr8Al+r6iNkv 7ouDE+vFCh8fnvPdDcfLqWw414Kc5RvwJiKXU4rteS7CiH0szaixdjZku6pz hOZ8bB/ox0fLelKtRhcJVnPQ/riQMvF+/LP9KJQGGnPB8gDafW4Ry/d0wqxN XXlkhhyPSc9s8b47UGlQ4scqNTpck2No/hl4xn4R96ZPwrz/LOn1aIXoujoJ 84+r4MSaCLivtuHvNl3JsVA7egSEUWcP2M/yOeQbK+HccB85erHoZJvMmp+T Wbn4gyQ/xorDE9/g3oRyzDx7C31nKzJzZTAPlekzXNUYx4/EYel60CkliIWe 3gyfNJEVFXaULYrggC8juLJcn78UPNi4KJWtH7OQ0aSHU3mWKGwZT8WpG/B7 +Xpcm2LKtSvv4eWe/ViUmMIPfUZy3K3tSE6+hUYO5IpEBbrd8sKJgSq856gP e69GOAdfxc/mVEz2zpM+rx6aS9XQLNORBUejcHV0JB5WbcbVljWiUX0LNsbb ivLWc5CkD6axdRI/T5wB44gYNJ26g3uDVmPa23yOT3HlvuZUhvfygYLSW+y+ fVFo97BmlVo6/4RG0Whkb0re7XS1yRL8p6bNA/9+oS14Pyw6XMPHtrtoKPGi rJkf/dQPY19DAqcvS+C9h1+Q/t4eTd9+iCc9unHP2vko7qQsqiteiuk1b4Xt mwImDaxHo2wjDpqP581NSaxeHsLnByfRvMGRvVaU4fqpu8h93YYvjzfj+ldP HjdQZGHdW5wc7M8RF3YL/Tn57LRkGnoaDGPdrnxmri2Bn1xnt6qnvZkyVJ3P dqqz94FyTLOQ4+Z/n4WnTC/xV2EsN6sr8kOqiqQhbCl07brwjG8njupnhZUP x6BAJYuKax/hw/4R7BevKw4mzEXHWjPOjjsjmv96kjvnYV7dL7x064mkm1q0 36fM174rMLqvDlWievBjjR4fj/2LA3vbhfHn6aie7sktvdfg6vLuEo/Up+LN wAFs0/7gevh1EJOnR3FhxSKRkncRW6Ss/fYi+X52ArEhnIoypsDoPlSp6Mnp pxKRVO4A6/MBlBtcANVhcxAj68gDE6XrlZpH1Wt5tDjjzQETIjktLgYR3715 wuMRHhwdwv7nZ+N7BbEgfJFknlYw3ZwrJZPGRtOxSxnCzcx4/FUuy2J12U+m G/uotGHzZ0+aNEXTK9gLdR+tmWkYLxn6+x3Wv56CmNJQptQOxa29Rmjc1pkO x9V5+3YSXQsllEsfyrb4LB4K6ohw7XL4nxvH+gYLzi07hXnnSbuhanBeUimG bU2niU5Hdk1sxYP/1CSVE/4hOmcrJg5tR6Cy4MnbQ7nJPIk3Op/F6Gqyzm4g evaOZ+A9fRo/+Q2jIj3ONHskfuc4iDobOdZ+8uf5hlD8Cu7Gzy79YGvvyi2R 0pkJXIIbEXMxcvFuEZjWgw9WuVBn82QGzz+CsJGj0GO2CUyXvBOWieP4frMC a6ufCo3fRdSqHUE/JbCTpRyTTnnS6K6jZLCPOdVu66MqlXj5sxpnJ/fCDINY 1mkuwMnxlzF8wRmhUNWC4t5WaP6sz4em3emXvh7H/Czp/cSA5901ebBqPPLC PPhZ9iEKexvzvtpzNG45KLrfdObPl5k8pX9OeCydRIOtbpQ/ext1EWP5t+Ai Ar+vR3PdZLzoE8w3K84jYcczJF4eiqk5njR/HM5ftmPZUBDEoP/m449ZJi/q bUeVmx8bHxTx+uS9uPLuBAal38JhAxWm3d0ksk1lqP6qiP9md0LigOUwWDmC lZra3OQeSUfL9YjcK4upWRlUMtmMxuhpcO4yhuevylDHYBoc9ivzXPJxbDFR pW31ZC75e1Sy7FU4jwXdx7gDz8UWc10x/ls6950MZJ+PX8VsOTBjtp2omRmN vlGP8LpLAv/uLmSgvDXU1ybCK38wR+5OR8XJPfDO6MeRdw6hPmmwpHmuDh4t Sea8h2qS9Uf0+NXkjritvRbvZS+KqvWxVH57EPcH9eDv/T4cXJZFn9YOQm+y K+a2XUPReH2u6GDGUudE5I6dwtb7XmzZ0Jc51erc31+as7KWvD9yAJ8Y6aFf 5nK49vgKrwW2XPXMl5eVrHilnwE/Hw9i9UFX9nU2o+1cG9ScD2O0bHem2SeK 8KeX8Fdfk1p3OlE1Ueof1TqwXrIXG+5tgf9vb55+ItigrO1+qqOrdA8fCt1t HzD4jBzGOkzHdJlh7PlMj8fVmiSXTxuyOmEmDuh0prhbRIO+u7HhSB+xNvkQ FMZfFc6ffHnPu1507/obgQv1+GsWxczPP6E6vyvzXmfSKHcAa+424ejrYLwL /Yj02Un0ztdk/a7p8O1mTaTnYmLFThhvGglFDS0O2zJH/P8/CHcb1omBp9Kh 2iNAsmXfFH5btAsSr0Qu6tCb13VTOBuKOGl3R3x6Px+H73rTpLcScpzTOOOj 1BUvHcGVWcfx6fZdITNGlds1y5ActgR7raVs5OXAT2s3oKrbInh1Hcw+Wpk8 I39XzOr9FpJWaW58d2bj5X58od2fWg/jqSt9p89LVsDM5CumtcTzg/tY6uk4 Mim4I41RKjz7hFFWoT/iT9xHmnUke52U43Apd6QvnYfMmVPRt/ASDu9ZATm5 DE5DIdf324c6yx5MyXBg6eKBYvXORTig1MH90Y7ujDLyFhnxHxFqID1X6ptw 2++56Ksdw/0vFyI6XIMKOWqYccaM9t0l4leYDmdNtIfmfg3W9pU6jJ8v+57q Ra/C7nTf8wC/tOxEmYUvC6Zk0qKqJz9s8GRKr0l8HTCc+3s9Qsn3brx0pwpX 0Jumu1WwZcwpGCal8u3C4ZRrNkNWpglzJxcx785DSWKnTRh3cjrSpHmf505G zbbh2n6v0S2nkI5Z29A49AoeHDTDgBt5UBg0nv9Bg+HVrtytNIySacG8EBbJ gB2DGKIzgRnFYZxyIxY7VW7Cc3EOD64dxAvSPX0t2xPy3aUd8KtJtMwH+yZo 0+G0NZ7OHc/Xw38h9AwZadOGmtNdeT/nBToV/YX/vXS0jZnMyL0DOW66C5/l tiDk2UDGXdyH7QPsaPYviG92FHHGsyVYPNeYe7aYcumjm9C4Y8rTM8/iRXEd Tqg/wW7hzp+7j+Gf0SdEPMzluI29KFlyAm4Bs6Dd0U3McAzFzpLVGNFyGP0G lqFO4TW0Q6rx+5k387vIi3tlSRg1uASKv9txs3QhZi6Wwf1F63HndorIuWPO WDdzmOjI06zZg8P8B7KvyWlJiPQsOeyx4Icx5nxTE84ZUw2YsDSVU5UiGNEt mrX7J+N9fRc65OczQHEQd0b1psvFCVxVN4Rbn/Vn6xhbpg4JYshwV25e4spS 3ak4MasaNU2TIY5J4J/hxaCqWigH/0HMFAfoHdLnWWUDPD2yDI9lpR4XZ8cB s3YK9eFuPPKxG+svdMa1QXK0lvK5RZ4xLzfbMP1wHI0UXZk55QlaSh+5f9Bz 5WlpBo+90p1lzaXQPqTOwpUTWe4xlk57Ejijyy0s0rXhY5ehzImfIs58iKTh 6cl8mBfF8eFD2TjvBDokFNGp/Bsy0nbheGgTclR/YUfYQrzTkxV/y2dg9sRx jClJYs4tE66ubhMj8nXY4Wwd4tqk6y+u4pizPys+FonjCgEcL9+AkusdGLXJ kjNb+9K2WY0+X3uw6eI1tPW048b+VqRCABb/TuTcZWlCfqwzi80jscDAji2a mgwzc8Uq651QFgN5fLYE46+OxWMXE97+mAnDkiy+uhvBXyF/4PAtlFqPOnHc 773CoPY4Zpo8xtXXa9wfzVXBepNnuJt2R+xq/os7Njdx0FrAteyspNe3BJ7K zkbfzb05cfNgrm690f/wxhVYEJNOq2vDGTDThzZGTZL285PxLGESLcsseP6N GUf+voN62UL2+VGDtzd0WG62FidP+fLMrCFi/mQnbnezYVXLIrHSI5E7zHx5 e1IYFVzbsXncRHwPeo7l24ZiYPhE3G4Lg3CpEZVCi6YNlZgl6yHZnG7K4uHW 7J3hyOf9nRAwI4D7Pz3GnDQH3ljXif37ZqD76mViQ1oY78qpQMmwA1dNKeDO Oftgsnwgk4aO4izFD5gyeTgf6ZJFXSbwUfUPaC/SwrDFiVSRS4XDjmiMtDyA L7uLYe0lZcK2HihP7M4TWfexfdMGYehuQTdbDzZHBNNZYTbqX8Qwa6gbNw/I 4/wOhtyKjWjWS2Z7+xBU0pu5eh2kWdaE7FFuKHluyDNjXJlW0igK9smyYUB/ /NweCVcXbXjszWBstC7eShlM4/QLBG7uiednh9HznBVbP0dz/7keXNpdi//e ZzFPmLPt6VPJnIIk5hY7ItzHVPTp3Jk3vwVxo9wB6EodpuhrAWv2HIX8rBzW xHbBIu0p/PXETfqMZjR4Wkh9vpC3F/dBSF8l9pZ3Y0l4u2SiahmWdTJChEUj PlztSuPrjkyoWobkDuvgUBeOs246cGp5jQM1zjw6/4Gwea3J5S72XFrrzCen mnCj2EG8W9GVsa0d6f9DlU8KZuKK1D+NUrPZ65YnnzhtRsLvGHoNkjA1eTTb +ujx0sj+OOHox/BOeqjTCOb5T5twq+skjstLYeU0W6ZoH4F2wy3slXJXqUZX yIZ2Z8iJAhqxHx/bncX1iVa8OFibBe+t+eiwEqvDbNjNKF7onPDkJrcj8J/W hf8V9WS4VTGOKoSydMlV7M42Q3PxLTHrSBFPJ3bmm9VWHGoiuG5bIrtu/YVq 5VDaj/4PZTd7wc1hL7L2BUDj3g5s8p4hdXkLXpjlz0K5q/h+ayL183tz6k8N /il0wjlvdw7S9EeiyT0MLI/nw7OqfP1esMctf8jKxXHEKbpp7XoKzRBXulwd xfaAnZDPm4y/n0fjzNS3uHPandrtt9G455JEc8pY3nj3S/K+3RT+C3ZjdpIC H2zJFn3mKnHTUTMcKO7Ob7It+H3Wi7uXnITGU0euX2HJ+F1d2Gjhh9uTwPJb Yzi+Pov6+j255qAsmyt/SyyvjKeKlaekcFsz1JVUuVC1Cf0ygrhU7wKmZNaK OWXjeHFXBPPS5oupz6/j0IDpEkORgt9zQ2izvxOrt5bje20ok16ew5rQsZwd KzjEYZm4/ecKgo+Vwu1dDzxcNE68nteLEbkUj9bbSPv8EQw0tomyy3YcnOXL 8aqJtKix5xPpBVaB8shq2YMHXz6J9t8nMfRlpOiwaCtq5YfSUWJG5YtZtBw2 hEnqBYxNceDXni7crH8GBvfUOG7ERTRfdWT9yy7M7fEcqhVpvHxKk3s1VGnO NE542Zczh/XDikUDWO8VwcDgWL69eBPvlzQh9ksXLnoXQ/fpcbxtq8yynt3F mqAw7tkRyVc3nqF9syPL/+pxuqMWq/+4w6VhC87cURBXfCz5U8GXHXQeI/XQ GZS2Sh18srS/0w8h3Xsjtrhnc1vEfYQvdaTl7dtI8l6Jc4GzcOftJGapDOJM pXSUDDHgPsXBvLGwFxUk2bgr7mKr0yHM8ctmwIvHMD5ShhKrpWJjj7+Srgd6 MNFhC4rCVDj5vzmI09wJfXU9oSz/R/LPMpKfK1tRM8eC91dXo2yMLLdaqtJd 9TImzffjvmlVGKbmzzwbZ1551pNl/jMkHf4uRJpWHGXGb0TEyGW4JPXSQusC 9DfQR1rPcNpclufhhxP5+6MFi1WjuPvEKhxrMOPKqm8oum/BLTl1Iq6jLC1+ XsDoJ5aSwTdaJCMf9KXqgC688uIjnk8Zw+9+K5Fy6Y+osR/CZ/8qJQtqXbhV RR0dlrzAjhQJg+5dFKNrtWnqIE9vo2QO8fonWnsGYtvhPnRQzKSVqTMDzXPE yc3m3LjPgv/9tWJWqTfPLbPgTffOdP4xjNbSb3ZWiGYP5c748L0vvV/MwQeD AWJLnqnQ2NCAJ037MX1LCnf5jeSgihR2Ub+N6yuqcfF+BH0SdXh61XN3WW8P /Fk0ioemN0F96VrMK3TBNN977qPhIDxf2PCMpx47x61D3tZhKA07id3V1uLY /cnsHuTD8eYViE/6jWDdTrhfeUcodP4ghn28i0uapTilpsYS6brtVZRnqsZ4 ap0/hm0DQuBSZeI+5Kwag0PNOLdGHjpaanDK+IohKnrs+3a2mJMdxYCh7tzR Ngfeb24jMXQGnNbacZfuatyXslJBsgHHXHgJT5v/YGiwHg5PxjCqSoVdut4T qS87M1rfgLvdLogisxZo/30jnv3pgbJOg2H9nwceFHvT75YC791eD4X45eh3 bDQdOsfjZjR50bGIfbUM2D1mHWY9s+Jo0zwEBrq5yXQO5k5rG8yofygsA6ZI 8tZOwcwtqTDS3Yk1lpOofWib8OvliggkIp2d6NLBi7e2mKFLpTxGtWazMEaP NjVGPHnHTYQtXgd5NUXqL00WcRlm+H5UymwznyE6MAR5qc7crBgl9LRewDDy AjZOCeXlNnUmfJ4jyb9N1lQkclOBDLs8U2H036fi2WV/aP00ZWCnRNpeymdK zlCmO+liXe1Ajhg8nuNGN4jJd0ej00MjynXoxdhVrbDv5sC5Bal8GbgKbVZ+ nN9ggxVzB/Hpjj3Y/mYoteJ8MMa3o7tFQiwbIvIZ0usL/P8zZcR3azzflM0F BX1wzGmqmL5ShRoVBfiS54S0vqpMsnBmaXAwD3bT55qHkTz31I02ylM4yMEf x3RDsW+0CpZ1L2Knm9Vikew1yPTuysclXbjOyR/PdhijeNZw5k+Z5b5AYQSm exWxd6EmM29oS7bq23Dp1hg8tSjksO1hzOs7CeParTggfBg9kMLVXRz4QG0N DhTVYv1oB66r8GHJPjuO/JtI1c7u1JPRZL9jE+hW/RXfxSTWni9EeWuaJO0U qTNM6ty+Qyk37ioCmkfzj6UBp+rm4Y9Cf+78m8WdtTslnv0fSt7OHMp9k2Px OvCQpDVxOPt/O45gzVROHGLI5cvsUa/5H+anhdCvMZsi+qOoef4Axv+sqN/x OBz9O3LEbTP6rR8pHjt3RU8pykosipGS+wRHTytTdUUydfI6cq/mJM7yXIe+ kUZQ+tqA6UEymOk/B4o9S0VC0zDKrn6Ku47S92rKZezy7egm00V6n9HccTKT 8nkqPHR9MaxX7UFa+lh2n+LAXin+3Ja0BUui5uJwYSDPFdrTZZcF/9yok0RI 82X9XiESe8qiangw5XV2QiP1MvRmvMTou/dxdq++aHzlgh5X/CnjP5kKX3V4 z0GNOXX/sKHZSOK7cgqP9HHlvglS1kuYB8vuRow+a89Onp24yW8N7g624111 Fc42H8Ex//ww6l+B2FBiBJtPHdD6O4Xhh5R4b0gylyh3YfTN8SgeKOFwtQL6 L32FuqhDyNJW5Lz1O7BKzhf//p3HuTWZnGVuyXaTx+47o1firrE6FU7vQCer /uyVb8NeH3pzaDm55p0lXuz04b6pVf/j2Dzccn7/Np5EtFRK0tSSNqF1X+fZ FFIRmpSobyntSUpkKzKzd1ZWZGRnk1lGRnZkJCRl/+7n+QM+47g+7/d5vl73 cdzI+uPqMsL7G15P+wvzNj865dgzZco76H0Ip3f1ECoOj6VemyaHOL3AvcUK 7PwjldvbQrnheyQ3HE5h/oMO7LfAECNeTEbk6UDKx26WxP0Loob1SyT33wjj pXH0feNGM3UpD85rEg1hfXm0bjoPe+9D1H8pGPTCgcc3qXDLm4lUMbHCtAZL ePbuxOCoz7i7MpWGZ5dh/bQj+JqdSrP5hlDY1oUrLb6gTvctTKYbSznSlb93 y/FWzzQG7kriKAUfNvE+Bl38JFLGDuN/thMY1+Ymfc8GYdF7NR7nhkk5oQsP 9c/mZeNVOD1JOlddY1lgGsY7GZ3JSUNYOk6Oma/92RKQwz+NnblNyV1U1TnQ P9OS/SZ04jEDBRa/G06Dno5CMyiM3h01IT/dlr+cXNjh/lopSFVjtVIQtTsO 45DLQ5B5rhRZW4ZRz6wnd8Quh9HAR/g6ZR5WF8Yx7cNL2H8N5DVVZbisqcdo 10pcvTmcK7Ueo9HuOo5PzqHLxxBpvuexcpaVsLqiQ6u987ConwPPDI5iuEUY 5oMMOpdGg5I56N8uwxuaJ5C7zoZ916RSouDL6s/p7OZQjmOrzYTrEkd22JnD vZFjMHb+M0lzx86U6wv+1PKmnZsc40sMWdrFj5VFFS6Pjh/GHbdAej715xi1 UJr9fCUGWGXwccle+I9XpfvtrbikOJ4v8uJEw4p4pvc4K2beckT48xH8uzUX gfb63LliMIde8mdFajvmbP4L/dwgsVTqxEdGx/HLDxc8qh5Dtx/TOE3BhkON 12H6vwaxYOs23LqgyO/upWCyYJBsH57K/ATti6ViQokt7B72xvCIsQw7fBXw 3YxssRM3fC5IPj54gYmvMrAtuBM3lXQV1ZWPsNM5gb8M/SmfPIKrX9jzhsK7 ///fgaRoHAtlssWvDUms/OvND7FSl45+i7hnk1kf70PZZyno0Vseq13LID/O jZ9OyLIk/LPodl+ZG9bm4L2+FepNVKhy5AuWjRjHq2nHxZUtGozv1ZH7C9zZ Cjvcj92Ho5/ew/+pIVar5YmXg5RZCVPxwaMJZfojoF/Sn2YVGfRVcuCRh5VQ kyUt5BrRICN10YFxbLvjBpNlw5jQXIaBRZcQsnwahrd2offivzi0aYaYadyf 9/dK87mvAn+FDWBrmCqPj+/NtMmmyJNTZLuCO3/uNeWhE81Q2zKOHh3sOLSt E0M8Mhh4zIjvGydRLXMuPMb05Q6zSL5vTeENzzxU7TqOn5ezeW+Uk7SzC8Wc lD9Y4WUgYv7z49azoUy6NoLhTbo0/9yVvmZe7BN5HJ9NxvBpUQJzeQNhGrY4 W3sPR02mI3rsNDZGWYqafgP588wcTEkbwebg3nT4PJonbgYhacUUBhvYYrbG fqj1seRu0zL0iq8QlbsihNLydUI9tA8iFndmdutQ9CjszKnT4xEQWCBihnXH /jMzsb1qH/6UTRU5Md9wcEsNDN4LNlpcQLl03+4PDees3Byx6E0I9l8z4izl i8LXKBNZrf1w1MmS9rdmw8regMH5DaiM3IfLXl+ERbWeJP0/FTTPsaefYWcK 9eVwPh/NoQ+SXAySDTmqzpWNLzL4WT6FAxYdQfnXnnScqs47Xy3Z60Y2m61W IyK1SvRqq4V8cB7HRTmIFF5HKYZL/D5K9ypXypCRtfDQmEwTQ10qf45j/ZNg rlHbg5q+FpKzO2ZCK6Arg5tewdtOkXfuhUszaDWW3Re8dlyBh4OPo+N4N8i8 GYDNb3rx115nuBwM5OHt7VBfKcE8BXcs0e/FPP2B9LEbgsOZm8SdoffxbZci niSsEXWTgvhq0lXsG70PSxZN4NIV34RKRKlw2lOLGx/mI1XDiyPjM6j6vTf1 WjdhSUM4LQyt2LFjFmeJSKQ4JosevVylHZBHWg5lp3OdaPDGnDWz7uD+F08O WD4DLS214oulLodubBTHf9/CoQu9JJlzjRn3axhUvnbhlyMSdhnvyikRw6jk qENFPXeoH0uSdtdUKsaD7dHDJCeaNOBs05uNZbr8frkf9duyueBTFRImtmO5 ryw0ftZIThs8w3KVx2KjczJDt/xBzfI2PE37KtGcZc+lkf9QFKbAsTPTqLOo Bw1L5wiLK8lIWynh+5eW1CoyxE7jy5K8ewl4Up3Ok69DmBlhh+9jfPnNNpFb JU0YcjwI5XMyuGqIA+dl/4b/uWKMdNLgkb09GOEeR6HvyQ9/3zin5C7G1jQf frKXsDFXg37HQjnWV50tC4L5NEdQ7sYP3CnszeLfUxm6Uo0/XTviuTS7E/Qs +OrOCB43r8fV/NM4vFcDBsPPiq3pBtxcsQTngt2Zsjgdl8rT6PVGF68/ZDJZ 5iMW9lmD9fbarFxuzazqfIl632bJqspcuiQP4Fj5VdgszSqTscdF1ttu3LDp gKS12IG364P4cv04qr1Tpk+SDxXnjuZ+aR4PfPYafPIVCS1WXGGbwO0al7Hw 4zvJehV1ukcN4+5n/TmkQy1aVMKwQspFTZ9isCr4IHzbjok/Fw14b3I6axdE 0V73EeSuaPH9PDVKnu7Bu9G34DQ+iT5tKmzXfYNNZ+YhpWyzJFhDjSt9HyA3 y51pTpr8deCu2PayBPt8WvGvtjP9dSKoHmnDfgo1+G56CT00o2kX/gGlmtbU eDRPpP7qzpg35C2fe7jmOYUy+mZ8vjcG6+55UmdGDKtc1bB3/H2sPTWJN+QW YoVFNczWWHOksg8WmCWL5xUTebutGYFlnTnOKpIr1k8Vmx/153W7Ldi/KQQa aeO4dI4Fz7tn88+dBDaq2lFRdh4Chp9B9cN4SblRk+gMCbcpTOKvm0bMvTJf +OuaiNNe+4Rv4ylRt06NKrFvEO3VE98G7hPzbo5kVXIfxuzMZX3Yc7F9diOu zHdiSomyWJwj5d7QMkyWGcOtQZtgtKcjPKICMDHxIVRsJyPkWIU4kjkItSry dN2WCvMRljw17Q/aKmSx+2QWrfw0ceRaV6SdtBc/fUz4eeo8NL3TpZqXMfNT ytFdRpE/WzVpGTWNw3xqsV13BEP0k5l0YypOeo5kv4aT0KEp+3aZzGD7XNoa DuawDzdwUStcykfSzJX29+w58fS3VeeWzorMPPkAd34dEk+s5RhyOZiBJb44 +yOXj2zNILu5EbtfuGNchit37IummP9MDPFXo+1jYwr53eg/Uo6nJvfm+hWm LJ1ZjR+fShE9eRVUe0nobBhDx4HRlNe2QYdnh2By4SD0bBeg4E6zWHj3Lm6M HwTHF0o4OkgF014MQnyEFes/BLKPhwLnlcfzfqgtMzumM6+iSdIa21OY6I4R KRojuGZ9Tyjo7ECEvjWdnSxQ9Z8pzQ6XYf/6HxhYncw9ht/EnRnD6X90MK0v mNDs4E+MHL8a5stCeEUznj9fWHOWiQvVw1LY5BHJF/NeIXWGAn+0SBizehXe nvRCVS91Wh52YdOLLHZ5JH2O7yVsehOMJUXJsKnJY5aSJZsdenNSVgd+21qF 4iIfOoyqx7b7DRix2htmH7ty5LBR9Pa05MVR48Ulq9c4PtufuxufSWy3hmNK 9RqUuhcjokpLhCn0pVJoBjXeubNoTh8G6CUy70NHbrvflR+yc/k5eALktxri lFEiz31QZfF7FYZsXImy3RJ6TBrPcd27cM+PePYbq8DM9ARqV/xzySk5Bc5R ZOQsG5e/8ypR1akn3yhMYa/fBnCwjmNnHR1a2pnA3DiLh3q340Gf82iZpsGr i+aKxBvzRFTPOMiPzaGVlI972P5C/9ovwuX5asklA0UBjXOIi8riAD01WmYO 48BfzyUTjEbz87qborPMLSzXTuDpyM5U+GvJ1LEL0HHCURH2ZyJlC8JZkj1E rDpgz5lXl4nnc4L4VbYD5kY+RFj33RK7EDkpayajvOkjZB6kSeenH23nD6Bn /UTW2S0S4RWeEsM3u8XHG3l0sSiA+vsA2pYXwCrGkH17LcPOSUYsTIrnXvMz wi2tXjyb+A633mkx/spaobnanLMuG/ON1E1bzkXykfVENujk4pWxH3MuBvG+ 0VkckHrzB89epEIzbo36iUOLU1ik4ujS/ec7RNX6s3+RH9XXV+LBNQdOah3N oVt9RV3NWnwelCFZdE2RW37IIGV/N17IKBPF33cLrTNqUH9shYY8QVEyhW9P VmLngO/IqIzkVM/HGKb4Fw4nlLjo7ziqPxiO2m15lEl15bm6s8Lzr7rQs1zk cuB1FOaN2iqizP046vxiFC19gFNPTdFt20Q2r7Ni+/Ih3PdWcPg6Cyru9+DY e8dFx98DaTi4Vnzf8wsaV59jxvoUKknfO7lxBrjtB8x2h3CkfQJvfEii9/V+ HJUox3fXkpg37RT0+2bTRO4Ytv1UhGa9KdufmmHTOSWkmYayLnIEe7dWo+C3 hB8DukkmFDRg349hrHxrImI3LETP51M5XG0FNMKyaFrUn7vbg1k9dTluTF+M 7NkbcXhjtsh+GcNZXmlcuF0D9vcPCWdDI6jl5rB2xzgp1y6X/PdEgessrgpr vS7YM3O/GLK7P60nA9pFmcxZ6MQyqRscPDKJM4NDudTiL/wUHfn60Vyk9d6N d/PAlucJOJQ1H2MWaXDJQolQ0W/A4sx40dVuA3rG2jHvnyG1dVLZ6tyJIw8W 4uBNN4w+2I+V2kcx9tha9NSZwny3RXDyn4QVlYN4AWEY+7oPF96Lp5ztWJRc U0dQaTq63k7llTE5eGG3XEQ/VOGLqS686KqDl/7rRe/GAZxmlYg1w3w4ojGV 7a/qUL40lq7NP2HvakEzXWVeqguj6Q9lBnn0lHLKSMaUAm06zgy9M4rlmxy5 va8TFql4cZXI4JAcWxYafMWBuSq8u2A6lEPeI2PLT7w62QzG/0F2QIbLqx1+ fDSkLxMG5HD/txh23J+Ff62nkKDjhb8FvnziehNqr7L45rQjZ3hMR0xrHXYU bsS2D8M5blsPeGlm8NuFgVBWOoPCkiCa/96J9GXOqFm8WyRlhTDKS5uRlvNh 81MLCRcfYZ5TOiW1V/H0WDjv7XHBuUursN0lmeEmH9BtezjziwygK53tti3f sG7RSuRcU0GWsz2n9O/HgVvKJN+0rVjmrsB4vQdYcT+cy273hoq5JR+d9OC2 j7PxZu8k+k4dR72weNw8fxQFfu6UnB6MR5IzYsjxyVzx14R3R4Uh7WsCW2/F 00phKI0bJnPOFw38GDOene6PwUFzd3a8aMmiqD84oWnMiu47xG2ZULZ3isYu xXwoD1ak05qFCCxfiPk/B7GlVyC7/EjgyepdkiNiFINCJzB1SDxjzvqhk1My D/Q9iMhyL76e8BhhnluwZUMK5RNNhMuC90JZ4ZXQ9VwE+9W2NLKbRL/J7Sjx 1eGrfuo8P2IE+x+M44WOFvQpiqfBiJuQv9GA2M/l4qmGEXvbzMZDeIrc+HzY OaXwnqk8J1tosO7iTIRUBFPDVoZlln4sUJJj7a9oKLboMXnGJZeh+XL0SzJj 3sO+kJMHF4wbitT0GBZ9/oD/1Inx21y5fOVlFARuxDTmo9NAI76L9sc9i2WI fdqFx1Z2Z01Pd5raT8Er9yBun+bHIyVZfHrrM1ZG2cHaZ4koLLGngUcsR72J g3Jn6bkm2vH5iReovR0v3YlGLLrRg1eM8xA8y5fBNwfw3Z9bsItToEJ1HvzP pPLgRE2mLFOhbtwgqteHUKMwEGPa/+93cSlre0yXzDV4ix7ZxpzfZzp89ukz 5pkmu3Xpz0NzVouu9mGi6dVQ1vwnS5l1nvyc78CpZu2YELte8m2bMzd3bobW gRP4cM4VH92uQtHOjN9avsPpjiaXDXFDVpwKNZ36o0H1H/5TkufyMk2+2Xoa d/vHM3DuYixYugo7ZCdjkrk86yftwJw37ixxi4DTLGWu1M7lu5eOvDfOS7ja 2PF9Bfnh8XnRXngR6zPHsXSeKZ1exVHnqQ2ttq/E9VMmFMva0WKQTpNuZryW I8/Nb3e57Pwny5poV85aPBD/tN2Zk7sIexzP49ntHKoui2aOjQSDE0KkuebB 2yMnc+3ofwj6ncz9p0biuE0hbFo/SbSWPRIDTPRZ1teENj7evHLDk+n+I2mv F8Kpox9Lzg3R4fXh5kyv6kjbgpEwNdWD8+t+bLP04ZOOOjgTpoU/47cI3SpH VpTXY77HSYyO8OH5QDk+fzeB/QYr08mjE/Wm64otp8g4nQLRO/0PvrxTpVjs KC4bubNH1GmMGh2IY1Jf6/HQm0efEr9jMzi4Sw+WmL/CsBg/eJ4VaFp5T9h+ nCHGDtPk44xnYu3HwzDq00maZ4Z0bBzGLvPfiH/z23HEOonv+hbDuW+2iGye wG3b0vnS0ZyZJ4bS830ScbEUO/v0QvrS+TjUfAA7jiXTL+4ItLf4oOGLFoP3 PxB/rj4FdVxo/rwrz1gKHnDV5Omw3pw8bC4kDr3olK9A6yMKkqVJP9C9nzHM 9jpSaYPUZaXs0uNhGvHXnbqD1cWFfRVoTpHwXfk5PLVYDbdZRmz/8AOL986F 2HYeC+QDcHLrUfSKKMCqs1LWLBlH84mPxbY7N7CxbASzZIKo3LgBt+6rMuS8 KyUt09h1dir/ntoh+Zu1C0ZnNcWdATp8fbAcUx7mcfSzacgxl8OrYl1q//0q WVv3GgYqd8WFjWFcvMNTLPw5BUVKwxhfuE48lu/A+YWBNL+rjadHkxA4K5Vn svsTg3uw4pQV+8sPxI+wVXgnq0G7v3Xo+PwU1ra50+5ULmd5TubvhL+Iybfg BK8MsWH1B0nA6Xrc+GXFT1v1UdSgwfnTTfDfuZuo9DqEmqlTmRRbjPvyfXn3 2zY8UT0L+zg/fnx2E6881qFxhhsr1EbzGW7Bu1TaU6lynN8QQI3QbnRYkQnr sZG0jmwSBZvn4/xWe8nwylL03d2Fx1cdQq9Jyjz7w5Lva26h/U4quSqcF9cU YY7MZKZazAUvR/C0hx8v9nCU3j+DvQdlY09vV5f22qEcmGBE2Y0ZsPq3As/c 8mE49qyo6N6HMvL7oDl8GX5HqPJ9o+DR64dFp/qp3OI1lMf7CgZH7oXamfU4 97pUGB3rgScFQ8XvV28x0c6Vuc+n8Xu/pdi4qweNnz6D8qZQntwUyzt5cnx9 dYO4mvsNDfN7sUOfG1C6txw6SyP5/FsQY3AQC88oc7/lLJdhl6+IdW1PXfzH bMX9qZaUZJjxy2t/VvV0ZNf58XyIJI6wz2OOZl9OmBvL7f7+XOaSjBpZIwZo 7ses5+mQNz2P7sfS6V+oTuO8ACRXn8DdyeO5aHcOar3lme1YjaHb1dhbmplL Yuuh6/dDykJzYFycypnNU6ncAAYbZzByjJ+Yf7EOkecqxK5FIdyTEsFVlqX4 M1/C+x80mPXAF+sXD0OF7BguO23FO/Nj2abXm8JqNPWik7m8UwS992aIFZfS uW1Qfz5S8ea/W7tR/uAK/HY8wuHzSTxGOQxw/Cuu/h2IWScG4/HgVbB8150y 3T7jY81SZGnMxphfaigsaMTt4yoYfUKHdjGhdPabD/3XezEidCgjux+H27Rc 6p2vxs5eEXz/tQ1OPSN5yH2SsLx2HwHXnDl2lZL40fZM7C/8KdRPVyBkqTu7 n/2G8M97sNc5l3sOuvNtWxw/N69Hl2RTuof+gPBwYe+0NFRqyHLDOx2E+Wbz vPFwbt/QkR1LJ1I45XH8rtEoiXHA4cuOrItWYbVSCr1ozLVP+nDNySVoS0vh Xe+Z4tnC7pg7/jku9LLA6RJDZisfwZOGbAzzlUJa4hb4qE6n29lHsIydzjW3 B3PH9WxGFc2G+v4IZkX5MvViCAOygvhm8Xie7BjFrtNSWXYrlyovZ8HKxJsB hvvwsUNPnri6EdcUjLnyVq1EoXuWOPpnNkpztXgsLYtnmqUOwiQmtezCaLmp ON/fgMqyhtRIC+bu+01YHSJh1z92KIy+jJMrBvHu3t1Y3uxDs/YAbpq5Cq5+ UzCkZh92PAln8+a7CB16Bz7PT0sC8zbj8qo7+NRmxJvnZFA8W4V7Z23Glafu xJ5SZB1eirPvzan233F8qLiO76nyvCB1++VrWpB65gj8fNcgfu54KiUO4MGO RRJvPVsGL3wrOb+uAXc2/RJT0pdi8J06lOithObfFOg8SeCuanOJ17MUxhuY 8t6IIFofCmCXKf4MvS7LhpKJ/H6wC9UepnPz/fNI1+7NHUf1efxFFIskhdj0 ZySnaM5E/rS+onh4K15UTEBgUn+2O6QzJ38kVzSYc8ZBL14K2Ay1gxmY5daR j8/cxI3RfWj0yoxnwvRoqHMET/21uaXgCd7/02eRUmecXz8bxZXJbFbUYOCI dryr7sXmNXVijVE6G7ZL7zm3Cj/GdeLxEmMG3m6AuawJFaeXigOmGbxrHM5e WxSplXwa3aoXiPMn/OiTMB9XB0QgzW4abzufELLWk7lp+HDWDq5EYeAgXvb5 KqxeGXNbmxKvmegh5N9iod3tIxy3bhApN71QUdIsMvK9ef6SJ9X3qtPPfBnm tOrRqUaJtoPnIbbVnLndLknyjbyoUteC25dTGL5hANty+vDtIWkuqATT96KF kI214m2/MRz+7r4wDm13MdPI45cdxKjNr3FVN5CpJkWItJ1GibkCX/gWSy50 P4VB30yY76ImvU4wwLVSaN9ejN2tdtSJWY3m5XqcsNqTHrdPQcnpCHqO24rG pA8oP/RNpMoZ4OnGV5D/WAfbmflwu2/BQXGvXe42WXHuya3i6zMt9jEbilqV ONRd8+XJ2t4M0xjL+7NuYtSHQfQfORNFD2PoZ5nORS8SWD5DhfYvx2Dz/Rl4 mBXAf2+jefSmKf10grh1pjyfxbxH6QwN4fr6tPCxPYoHp2yYvMuQ6U27MPWK KXuuiuDHPZ706/dKxFqnMp5d2FPqPuKLHcKqvTkiygWDZn9CrrkKx7TW42Xv Xjyy4BsGS9n/0JpoPEuMxAxHDXRIGsTK49oib9FCoWq1V/ptqpA/Xosl3T9g TuAJdFxwAQ9Hf0P6ugG0NtqFw69uQlVtODX72nPcmgt44DoPE6TMPsHiBapS n4lN+wLYI64VVQPL0UU7iB72dxFfMphnVttwzDo52i3YjS6tHTkh9BgmUZsn n5XjYHEZ7ihoscvlKRwfoI55uzuyx4tm7BWvxOmvGdiyVpYDL/xE96c78OyX A7PfyHBFsw09DcK5ZYIrXAs1xfq40TwY587b97uzh4Ie5yi7MOfnAJpcHo8D JyphWdyCJZ8n4laGCm5+rXD587UHx2Wrc5uMF40M/NjueRCKiW7sYzKONacV eeOSATXi1JA/pU308upMnVl2PBNTjpL518RhuS9QLP6KLYqlKKtcJ1zG95V8 dpiMeYG67Bz3HrM9VmPsaOK4+1TaTWzEPqmvH5tShTJlLzRmV2D9KjcuHJyM ULsWfP/sKNEdkcbd52W466YWPztZ0rrYnt2nvkO/7i1ilNEvbHQLRSddTfZ6 o0J16f4t9L8ohqRP4/iMzxh+yw9nA4dQtT2W3jdk+GaRNmek7cevWxGIWGoJ 1x/z8aVYC3uHxvHRuS5ULdqDOZ1ssKgtRkSd0EC3S9rI0dXj867qfPX4rFj6 9YtISjmCxVEBlI3OZdJ7wXWr/+Pfe88xZaOES3Ti+cpYi2el/qfU1CaeO89A t/t7cKOHNDdKFHnSrht79t8nts8biS1l6axbkMGTWkuw1Xs3WnakctOSfSj7 ZMdJAca0K3fDIzEENYoG9AjN5eUWWW4aY8yyukA2JBjjxN1ozLYy5YnpWmyz nc71CxKZUtSDepuzsOpOLvtv68M7Z3Zhs5VEojo1ilfHHkdZ+zU0qf4WYRZL JPu6mDHF1RWrf9UjukqDxe42TNofR92aHixL6sFudgHsdTWPD2/Pw58Ormwo vo2QqAROf/sE2Us+Yf+MyXDsE84fpkP5wTqXEbb/JMEaU7hnqT6flp+F2jpr RNych9vG3bjx5hxIDllz9BRtTJ/dimM+p0XsJSvIRynQ+F6i+NFswdp/Yxj5 Nownbn3FIn0dDvT3otmcxfByNKCrRAnaJxZg/cJ4+nqE472hBb+XJvDugkiq mpxGuqMm3+ZsgY3qFKYrHwI+a9Lzmj6d59SI722Z3PpX+g07JFBfS8KyMb1p 8usENuY7c4Z6EOuUL2GuSox4vTOTVjaR9Lvcj1dbjDkodRoM3jVJfG+dwoT5 syDfvlI07VCGmqLgZ7nfcPugzKguadwp9fLyhni6bXZ3UplZhOX3rou6glEs /u8G/HeG4d9gK0ZVLYNNeCfmLIjiQOeFmHUxDx//nIZdsY2Y/2ST2BvvQjV5 Dy4uNqJy23j+6exL+aslcBGVYldfcx5PtMG6JCspb/RjqN9ovpzRm2ax/yBz eC7mcSIjB6py75oe9Bj4FnsU/XjOVJ4PLhYhYk0rlu+U5z2DTRK/6kROrb+J 1/IPEF6wE3uqrTnogjbHqXdAVVsaNbUqYdN/AXZdUcXwl8dxbbsm3d2Gc4SD K56lnIVmfjwtVs2HvFcah9b7MWvdc7zKy+StSjlusnKnadwSXFe5j7S4MzBc tBd5OkdRazgNj7baCJmOX8DdBlRR/SR+vXmI21UqHHq7GYsfLhbGR9wZEroD rgXXcHNFICWBsbRxWO9yRGaJ6C+ng/77K3FO3YqGbzOYcHkd4ors6N3QXxjM vCq8Rw2graQE9vFPEVzyC+tPnRBnLOqwbFMV7nVfgU5VudRebS9+1x8QDyDH v29ducV3Bw7+9RDB7ZZ4P1OVvlcHQaa1H1UmX0dr4XTGnjcXgYa6PC05h72F eQi0CoGb0GAX6S6UvpmDvP2rRfuweizQ9GLVuHyccj7nrBT4FGeKfonyzSPE oT6CSztocWXheFp2sGTIk0l8NySDTT3k8Kt8CBdO7y+CjsjTfFJXquq/gOub Pyg034y6g+F8o1spag+sFreEJw+2CvqMsqS8YolYMDhVjCiIpoaXi5B5m8vY i9VIClko9s45ik7S88qdmcDaLbIo8J3M1vRq6Gc0iek/qvA221Joimheu6bM ad7TqJv/Gzo/o8SqQQl8qqbCSeoHJE6DGsW4cqlvaz4SR7L+Y+wSe9506ccS wzjO7Dobj5XTaTqpCLaO9tz7WJeLHk3DRfXtOLFjBorHRsMq1Iv3hxpwTayU DaZ40PZrCt7c8uOyW4+QvMqGh+5m4dOoBmxfHMx2EYiX/VbDVz0DOreC6JYl 7be9C7HLJI4bv1pxd8+rktGD7Jnq0oN3Kk14U5IDC902qHb7BL09GbwY6UCr xGmUUenKvRsm0EuuCvO9g+h1tjt/Xzag3Gk1GmcasWV0LAfk+nFr4AfoL36M aLttuKvxAYt+ptO2aTscfL6itONaybmeoby8yIS9lzrwQKIvrB82CQf1e/gw 6jJeHusM1f4TmBjgzxC7Llzf0J0ZY8fRarcaOvmGs+qKDhO8Z4glD7rx4UVN vmvIoNf3arR2cuFtrdN47zkVCoZ7sCG6s/itb4j5s2P55MJrzDzvyE/pHTlG YzBn7RvGGQmqdIkcz2f73Ll+eE+47nSFxoPrIrv7U5xoMqbh8fXQHmaIV2v0 qdtsSIszKZAfq8Yt/w6jz9nZiDF3E/cypfm5Z44YGD6VM4yewWnkCsn9UwUI lk1n29/DaFZuQsktI5qpGLOLbw9qfs5h6MoqUSOTy8q/TVj8tJuL4s/xGO0Q zzGdBPPTgvgkeRybqcEdtX484NeTZ/Y58cffEMqZnRH3rIJZE/0bJ2/1pdfV zoyuDeediuWI0tuI40+MqDPjJPZVvhUtJ/RodWIqW069BcduxK18qZzLxJFD mkX+OAX++bIG82/fRB/DLpjaqQLj+/TF5OHdqbnqpRivIlgvO4nd1hUJ75Jt Yq/yEMzOPYxpHtVorOvCDAddtJ7LoNzaGK5ckUzHJR50nS5LrZdOkq+Vb/BH Tk4y4d0eySUFKdP6JlAmojf72ARhb7Q5ZxWR+suH4PuHYiz6mwG/08Z0eHsB O2ttWfUfeKDqkgj9bcfRm88L5aRg2h++garGvVhpZ8F3j9+guWk10rLeomdw GAu7WfGLd2c42iTzeS8FrrEYzqdN+qy5mEvlR9Oo7q7OuQstsGX9FFZa22N9 0gP8HNaBOZP78kvBWFZaLha27tHs/yMQQwq7MSLTj7dPmdBz4gIkOZ7BnywJ h7t5o9jpPSLvaGBGTSM+LXuEfHbl/VWWfLJtHyxODmPpBC16rx3BqFldeKBX R3Zo0aGPdwAzWkw5JieJp/K/o+emZlSsSuSuOkMmTO3K7RbdebcknheuxEv8 PKuxwEKFtvlTOdFuJ/ruGs17KW40OmAveko2Y3XQEE5TWiec9z2UHDsC2jUa i8bFr7G3qhvHGoeQC19jpe9AVvXYiEfdH6LOOY6HfDzYcsuBbvnj2ZCZzgKt WO6Ya82XDz2ZEPtM8t/g37j9IwMXCv+h7K6UZbpWoHN2vRjzIY0x5iG0maJC nZ+O9P6zGjWPJ9C0rRl7bo/kj7uqdNw6Fz2W6iDSrBJv+1sz54UOSqUz3se+ UUy4VSrSh6tg1jHScUAE/fMvYelJY346qc2HORW45DOEuzM7YaLrI4wwGo89 iRM563Bfulyohf9zwcT7UfSbk8Ixas6ctFiNK4e9h9fROqxzPI6506fTItuF vVOuYOATTc48EsiUmEvCVC6NQybuhP+RAXypn40vdUNwdV4M10+ZRKebkUxO O4yMw5nUjN2KUq0DuPFkBp55KOPqBE88yt6KXa0H4eumwAodcx7wSOe5oH8C Bd25ttyYU9UskP+3WjQs6CdlaA/OuLUIjhlxosaxViI76CE6He1EjY7zRX2e E7eXLcWaXd50CNIV48YvkNzb8h45T7aLCxUjYL5HjZaD3fgk7KLwG/JPNHe7 iq6+Y2m52pBul9okW6TX77eOws8vCXQfqIdLzgOhdVyFL9+5MzziNjz6OnGE WgCHHrqITNGbsb91qVeyCzGT8jFyXo2kaNpj+MQvRZp1DtM9gnj5vQ6nhJVL InvGcuyvbxjftAyGT37grHUjogMG8bb9Wpe1NWp8/l8slRo1aXzZEqnS75V6 dwi7VCvyq3seV21eAIO+El7tbcbwqgrodlsl0a6fhGdnevFvwjwx7dAlOC4M 4J7Vm8Tt9+tQV/8Qhxftw1FTHQqtHK5vjOZorQq8nTkXgwPvoaXTVyE5sARP 5QbRuHwor799D+UcJ9r5mXLJJGfx36VFSCzuKNktzmHMf+G8VP8dbT9WirS9 xaK4ZLrkhCQf9yylM1venZHJYzB7dk/eaXsL4wQ9jkzYg8ung3jTNodD59yQ xBfcQN9B5nz+dh0WDMmHhc1ket7M5LzZfdhN04Q55Wocv96EhRUdaJ3YkQve z8XhyP6YufmPMJ15GNsTw+m6fZGYfnAkp868h/5WlTiy6DZOefzBJaP74kFe MH8Ns2bWyyIRmajGkJYYVgd2ZoMuYPNEi4XnBE0Tr4sVCml82F8ZCb6+dPL9 CdWB3WH4II/vmzxFxBoPLh9xQ6JWQ3p8O4bqq870/R3Onh374vEBE9a6qmBs qwV3J59HRe0Ivh6VLnWIMqE63orDEoZiidxWcabnGBifVXS5mZXB/RnPoaU3 Fuse16H5Sjk810Rx18ZEJrQ9wjMtDaqt+SKuTLiOzU9H8ZfdUzzokEXnRy8h H3EPN2NdcUK9Fnc3DYBN+SSa1A7BhyIVvt6eyTmH5orkdS5UTzzocknRgxt+ KXBGkxZMQwZjesMKWP8Zyrg5P4XL8XF0WCXvMmPRG3H2kOD7gjnYu1OJ0X0N uO3UCnz3NJC88ZOyhFYIkx7HIcw2ndN+rhKbg17h3NfNqNyVw+f76tDUczKf yyQzyMwZ3naFot+Hubi1yZld++uzSOoS85Ri6KlnAcVsd9YOGsrXLTPQ7tcI 9/HSDltgzONz9XBSowRnyvV5VOcignpMYELnGvjoj2JauxFfvJVgw7J3ULrS iWqafZgl7uHqQ3WaPc/Hk53DqZZ2W7I1wIULHbVgltuZ1mcWYtzct0j26Sd5 c84PF6Rs9OJgT/Rr3S5R8c/kKq+n6JbeE5u3WXJAeBdGXFaiQ+hVnH2nzLgw J3FubzauLWrHsLg9mF+yGdkXUtjdrB4yt2aIkP9cWS515omzVsBJrQsHOU7l ziZQVpqtir9vQTZ6C5ojXooStwLUj3Vj0ZVbsJR2z2afYXAoNBQLPo0Xmm2f MCNmoyR/dASPL83GpuChnNrHEhs6TOePE3LsOaJSFM3JZOuYCVyzVp0OT+zQ a0Cr+PE1iPZGq5A8cCu2L1qBt1sU0GD7FgtlO4vkiVnU3fcZZg8knFmoxvZR plS6+hQHPP0ZuNCTVX9cuEkzD84d+/FivT/759VJNohj2DQiisOP1MB2tz86 jIrGv9sT8cylzcX/8z94Jwu2m6mwa7gNq9xVeMerHqX1w2inqYof90NprHoS V//04Wu1K1Cql1Bc78oKaS8+1Z7GVWs8xIBxr+AxS0a47ongr9ZLeBOYyoL7 LWLc94c4drSnuCvfidYVUtz5vgF9io7hklI613+U5wmHvuzXyYQxd0JZKDuK 5+XOokvbKNapPhCzV3vDdfEC8UlO0CkymcHLciip2o+Zd92gam/HJeaZjPvg y/9WhdOu01Bw6xNJVlB35i2wZubTNoz9OYQXbNrF56wY2nV5hMTQcZzZfEL8 WODNVsX3iP8lz9SWVZjxaAqDckYx+etUzitdKuQre7EsrEq0drbApcbr4trR ashZvBL5Y54gJGcyB8g5861XE0yVpmNYiwr/q5jEffr78PprpYvVvGg2HpWe TVgibQK0uMavL89rNyNwWDI7XbNic8eONNlmzPkv0ulUo0LDydtR0NqHO5X0 sL7oINIHmTHH0Auy9WqUKhSmJ1xHuPMBJOhJfVIOCLHR4uDj/2FulA4C7Gvw fJYyb81Nw6QFl3B4eAwTXWWoPOAMikIncfcJL2ZN9uPxif35akV/OmavgM3u SEb1T6Jzt1/4ne2KisRrcF6/VMTuPIOcJG/4hrlzwTZpJ99P4pMZsWxamE2l zZsgc2Mwz3wLopp/FJuVOjKmJpYjH5mSBbNwTC0TxlI+Cl2azdWvr4tc57lY +0fdJWLld6ySu4GSPuV4164P5fnOuLtOTkQ7S/Msag5KbP0RfcyGpy/IcGxu Fn9cPiASh8/HBv/Z4qNlPD/t6sERNwFzW3mOfjWZi4tH85NfDpfUR7Bv7SQX r4cpzIysRXDseSSaXULOlxTO2PUVc7dVY+wmOyotCRQK2W6UJP/C4bF5bI19 iT/V/Vkw8DqsDRzp9iiOqvVKkJPdge9zHNhh8W9wRiNC/f5KEpe7c/Ua8t+0 6Qi7tAANkX058FYQOm72h4qvPMMTB7D92y/YaeZyrvsXkXHgMobvGSqcpG69 +8x1aJ0N44Ww56LFsVys/BBMlavtePJrE3pPqBc3v0vZu3YRFrkNQMhIczQP mIH7waY0TPgoalLvSuQi3gjvfcNpEhPHQT2SuM29A8bIb8e7z7L8fmMY18hP 4sCDtWLDV8EPZ16L4smLJBFDnLnnzx7MjY5mYHMBPBKv4sKpeNSXOzBdNo6W p8Jgv8ofPidfCnaOp+GuBRi7qwD5S5w4vdCVk0YsQMjvfjCp0EPY8Zl41v4J 4wrC+c3qOH6n6DFwjDzdM53Yf9VsJAecw8OeH7FPuVpMmmQjbOIiGGQyjJ5W X6Cfehpay3aKe5tOYcA4bS55Oxuvl6/EiZF9KNcjA6v2mTPgbm9eSbJiQ1YY 1iop0X3IZRzZH87Ovkbcm65L+z0rURw/nR7TNorHj1UlF36E8kLfkxCfJ3DM wa2ShLppjOy8Q2Lp40OXJA1+eNado58liSVHVCjrNQKvCnKZAD0q7NPnkDYl zuoQwdkOqfyS+g/JU4Uw8a9CvZTB0/3NKTooQCe/WgwuNWb0YDme7HbU+e/3 VHoEfUXhhWxOXBPDD38r0bCqo9j3q1Jcrk/ioD15jBOr0W+7Cd/sWS0+rnRh h45FiK06IB5cSkPBtXmY1WDIvr8yqb1nLE96bsO5HdO43l2Jb+3fQ6dhHJvu T+GL7sEoPNMifut1oOW0K7CxegH9a4NZIdef35pG0KDhOdadeoLw/hpc+18K hl1thdG93gw37skJem6Myt/qsvu7Cu0T7Pl85EB6Z9igWU2blfJpPPVYgVMG 9mNpwCOMC1Xj/kw79p4pi9kRcnh0tAHVd1LEHWHGZTI12HHNkwPnnMSfAVEM aT+EtW8SOc1hADSUdoudAxqgIK9IAwsbbsnqh2rnM1j1+Clc4p5hn6serKbk suSkK03mLYX8vymcnVgGlYIgSeuQ45D0+SjeSp+dlRbLL6WbUfN0M6YY61Lp 9jcUOgXQM68b/0vszIlFUZKhMYp8GXlfsjN0p7j28q5olclmWo0v10Q9Rd2c cHxXqkKM/CcoGi3EMrsGYVX8CWf/m8L4Q0U4yqHMfj+Ba3+psvO6PD79lInn tqpY/ugkNq+24pxzekyx+IGakA58uiGXPlFeHKhkwR8TzuHbQh1q93Okycox dFgzhd+W+fDPsstQr5mBBDl1MaqbFifIqjD4iA6zdFLxamkHsbPBmBOvqXCL tiK1pniKmTke0DExZuZtWfzbvlviK2Ugy0MBlG3NFypK5pjSbT6W3w3CUwsj fu5wStS+7wXN1i04lGbNmzuk+9qyBgaVHrCMWIXbs76jcFIy7SdqMu58Vyxr 2oXfug2oilyDslUj2K/rU0Td3AC9d2n8/UGJhxtuYfPtQzhyzou+UWNoEJ8r Ms924WEpK8wd1pmGP1OpMtKd9aIezYYSNG/P4OutQaxzroO9TCfIWryCd0Ml Nl/oz/orZTh6wI3xNSNp8dmR3wcPpk5tCAM8t2OetjtLHzdBbvIzSKrWQu6Q F/cW12NDrw7skaCGSIM8pizTwfmDiXx7uAeNjEw5dFAO9xsPxPjGLUhS7sRZ SZ7UXRBL1Z+jOeZ7E1xOdeOsnEjcWHIXWxPjIWe9XXLRPIHTulRh1htVFiYb cnFgJ06W9mmyZi/22bEa3zZ0pNb2JRj7w5p/j33Ewxt78F9NNbxMXWiXNZrW cYO5OKISkp5taMhcgB+LzBiyY7bkTp949oo+hBf5o6npYIvb1UY4sGQKv/v2 YvHhWGoGOvHY10qk5KZx63NrqrzcJOJUoljm2J02dZ1oZhrD0uZYvlhnwHP/ DHmSeojxd2TngzEMX+Emnan3sH9yHR/duuNGgDEU9vfnubJXOFR0EvHz0pGZ exEnG7NwTa8Evk4XUWGyC8UBLYjYZs4dwph1Din8MScFiR/SxJ3SpfB3O4EH LXacs6gJegNeiUH69WLWoqf49KgHYTSI2S5q6LQgAmVLHuKV1OP/uPZFr8II ykU8x0UptwZ/OYvLhtvgszqPcpvKsedxX7pOniXZZjMI+zpFs8rgMB4qF0Nl mwOG7ZkN5yOJHG5iwQ+xU5kWGcj8d90YtLkTJyKPI24ZceyILI5WtuFbbWuW dHUV6YnTmKsVAA1NKy5xjOazAxP5X1Qc/jg5sf64IgYv9uS9WFs2Jdliz+Fg 7HnohAtlF7B8ig+nOqhROb8cHbaPZP+iJuG/xZvh7RZC7kUnJu/Sp//RoVxh 8EeU/nohCXk4D43+Xkz/HsqUUnUurLLgzDAZZrx+gl85uqzIt0G2yX3ENRpA RtuDrxtnIH1IBzpaBrGhThHa7cMlfQaqCHndbUgXCbBrVOCGoYa0L9NgP6fe vNqtCwK2dafTCUMGp3/FapWX2HxkHsbV3MWkWWcgWeLCg+nplHc9goCNjpz9 /jDUuo7jJd0w2hzuzeqVR/HZQOrKT4rhuLcSesNvONdo6EoyemuyPWi3OKPp Lm736M6IJzvQ0hbGh5e8xcYJfoxTLYbTXQu2V1zFZhk/3nj1Gi4SL25/cwtW EwbxmpM1Y04Bx54MpoPsXfR7fB5xs11oYP4LwVuHs+54AJ0ubERxcCPUtEw4 8bklZvqPo+/dMhEZrs3FqY8RF77RZe2cUkn89W2YVbsbDV912OHXEN7Nq4VO 0AwpJ5WJ8aMXYa6UDXPSbHHxczGOp3Zlwq7FmJhlxoZph/G3/ioyb2xAQNEE Xncbw0/Lf8Dkewt0LzZjfNlaseXwYgT6npZ4LAvgtDPBnDgnV0w0fYwrV725 6EmdcBwh0HfbDZxr8uGUvyHcPqozj9SpI8DJgwlvZuDxCzn2GxUqOTrpDLq3 DySfDafFilNiiXI8337350O9LF4Oa0KJ4i9UJYeKd4XGvFDcV6ip/oJijwP4 kncNMmmFyIk+hc7OWrS9o8ZWHTfadmhEyKmreN4RvDMcPHvQhA/ijXnx9kGw sRjFKnqcelWLH4YvwcO4YpFn5cR9o3vRMM+ffw45cYy1hCM6vhaTs7WR3GcH dPpthOd9J57+cgkVF2qhqrEKOb0tOF0rFgO+7kTJYns2V3/CvkvzRXWHFKqd PACrFXZY8dOUhy8pc4D/aFY+6UAxvRb6PY+gW4LUSU44SRlgK8bKuFJbuj8X 0y6gcd8WlCnn8Y7/OjSuXoinWd05a2gINCv24G3oHhQejOTIsK+OLvN8EaE4 kh8KprDFOYeXE7qxNDeS2k8OIeeBPtwKn0uGSDOyRq4fry6NxdoaR0TVeYud UxXx4c1J4TJvkbi2vA+trV2p/8UDnxaM5/VdBxF3zJJ3ZuljUVu1lAGX4kTN OMr06MHATqYsMvPn6mdRPPPlPz4r02Ookay4sE2DbWkxlGsbxEOu1ug2Y57I OjCdH7ffwbmlgZx8vRl7/+wVa85GYEdoHPfWGJLz9bhT6tKHVhRBy0GVV1ym crDPYCg46fN+4Hw88XkJ/YIsXp8WxqLsB/hdWYLJXmTAvj78EzCZKzd+RWrP QK6X5tKcrd7UNS3A8gUyNJ05XRy/F8aSzBSmBh/ByYNd+MbZlTXdP4hO0eCz EV+xZfke3Boui5kBnWj4oxeVQgLpdDmZzn6xuLpmGo1+9ZRmVQbOXFTgKEUZ PuZR6S44iPRJXXHhewA62SxB71djGJ0kcDDdD/dfDZdmRB+hftMDkc+aRO/Z NeJQtxoUtFwRPzSOwXLAR1inJOHFblJzUhQ92pYiJUKbjxI74/PgQN5f3MOl bGYNql168ckqC7pEZlJrrAwP7bCj1dtDuHt1OHJSYiX7divzrs1LjCwzYn9b dab7uIvyHRZU8fyCh6fSMHLsWBxUdMLfp9G0cc+W8l4cteKDmHZnIlrKLXng 5Upxpz6Z//5psec2e9QbHEFXFUf2UB5A43JNuswbRl+7VA74VQA3f3+a20fw 2tJazFl4Hw4aY7jf1IAXvNxx+/oNvOlShgyjw2g5a8honweY02CD82b6fPFy ougs3mKLcjovf64VMyZMES1bevDQITOx2usZBjXaYs65gZwwdirr99uyONmB IYPGsXDtYjQVRbPfEvBq+HWJ1oFSOOUcFgnaGdx0djd63y6AeYEWj4y/jbZ/ h1F6+gmmX14hFr9NZJ9ljWLgLglnRA/Gc5hzzSZ7mp0NYsKlLC6ZXYubm0B9 1Sw69VDAsnnvcPCbJp6OKsTIgFAejzfjyowBUBmoiIwr3XkveAP2J8qz8FUG 72xy4ZdQG56ynsyi2YOoNyWZer3kqVmdTjPpfFk03Ub5zxx039GNZ7lFbN81 B+YrP4pDCw+LmW6lsMg6gE/pS5AdIcNrY7ox64omS7+NY814f7h9qYF5uzIj /nwU7+ar0llTlvtmhVF2TAPOWXZm85fuHHmyHBNkxoldjr0Y5R8EF5UX0FAc zJ3zXmHTgguYV6jPhm8eGNhFmW+DpjNk7kQq3IxDp3UXkLq1RSSrLUFteUe6 L9FGep+5iHSMAsviGeeR9T+KzsMvp/cP403trIpKSTLSkEqpnvu60qA9SZQG DdqlrWXvyN6yZ0ZlFJERMr92iJC990j4Pb+/4Dnn/ozr/X6d8zoP4TsEcg6q nCqtg0f/S0gdJ3j/rdQfnvZHU4Mvn51V5GkZV1Z3y2B45kjItt4A+8/C8jdd GdRZhs47oqnQ0IWJCrclju4n0KU6lDOWenBG1VqoOw7l3661cH+/AGfv+PLq 5lNiXn0PNnqaw095Mp8mr8df945cOmgy9bt4Iq5kJS5KNqFVR51P13lynIIc R43NZqez9pg0piOHma4Xy3ZvFR6tN+G7bhDNbp/D/sRYfNYczf+MtwjZc9mE 3gIYxkp7KuynKF00iaeGatJkpS7zbXfBPFRXHO4r5ZdNRqJEc5Hol5/LRx6K lAnfi6OPVuNx8zu0xz9FP2UJi2p10EfxKRY812BylA46Vw9l9X0Ttirn01N4 wDNqGyx6qLJrmi8T3kXxpyqp3GLBz8lmLLoSgfNflHnneQBn7k9kDLdit/El 9HG0pfvfRknHjcU4fVCfM6qfwzWpmEnHPFndIrjq716x8NoxpPQyRJ2LE2fN 8IB1fBqrXIqYO24Xsp/F03ByOd7ukeBHSF9O+RDCqxGhvJf4GvVnO7Om5yWM jz8khiel4XINyHYHLt2hSO/TcgyzSaH6DXORFmzHgpGn8TfZ1smzvz9PeOiy +cAZTDx5FVvv9+b+k/n8vU+Z/jO+SL4NaRLvf0Qz/tBZzL83hjESCcfNC+eF JhdUVuTw5Jg2ydklBoztdxMqe05jjfku7DigTv0aZewq9cGDaW6U778bqltj +XfVNbSYBHFq+zP0dbOhMCyB/RYr9rhXj6Bzc8S/Ag08a0xh825/moX78m7D JI6uk6Xf1ce4rnMGwXcnsk46Z6vOpuLC3o9ommvMy7f0GJ6QKop6XhI73C2o vzud7VsWiDPl3/Fi0HBOb9gp/mqfhcLJZfhZaC4GHggQS8ucuU5xP2YWtiGs rgcvn2rF9SVnURVtyDlGzzA95CFMFliy+3MTBqf0Z16pD61r30h2Rvfk2r4D 2LFqFhp3KrJf13rcfaWEyzvuQGXzJ3RJ6SliG5P58dIbHIu7JTaENOPc5s1i faEMz1+9DGu1XDFGNZIHZV2knCf1rJu5lD0vodaLZlG4slxyxCeRuYEr4H8q SLh9nilspUy0vn0iH6hqsdv3HzjYNJkZh7ZA9kAuXQ7YwP2bL37tWYqjU3oi 5f/fjz0cK0ryZsHd4yP0Kq8hLl0Tvp2D+MOqC7tbepKr/ShTpcPwgadw08AQ e4+bUM53ONucpDunTdZJYX0U+8TPhL1FCMO1rXnB3Ybv09eJCENNvsZonrhW KrS/2+DM73VY/+Ue2p9EoiEmgqoTjagYulCSMeUljiWfx4YuQ/nV4jr8xi/H bJ1c+hSGiLJGVTac249v8ur8GKLJ4t9m2ONQj/2vNolOHp9REuzN4gtyDKkq gm7gLrBXLjo6NKLHLjdmnPiLr9/7I2jtdVR9CGXrks5UlatA+3wfLD2qTNPU 3mLjqxh+yovnVGFE2bjX4qDvN6GTqoFemXskSy91xpQoAz639qDBMx/WagXz 3O8AbFm0HPOkjBhXvkrEegnuKtkFW3spa58Zx3MaX8Qy+3787t6BmWdU6HTc mhltRZi+dB0qxpnSN+qfxDmkQvR9OJIelhLxy0qftR9LRI8cV049rSOJ1Tdn bqfzuLROixuLR7L735nI2mvH9S3GdFE0Z3jTI9iP/4BvOq8xf8UIri31Zemv y2hPisS6tWbUGftDlGtZconBDkzqUSKc/QbSs64Le+3w582dO+Gc5oRfFq/E vcleoJYPff13YYpnKBMX5mLRmErkpCvx86nhXKcUxOlDSvG6sB8DvKV17ebM 1SXD6fXfM7hXFfJ2RV/xet86ybDIteh78TFq/uWwvEUZx8KSeOv3IIqjX8Xh EFneQQ0izTLYftAW1yx78mSYCbof0qXlnofIyenOy3l7MExxE15Yp/DmmJMI auom3dv9RKDVF4zwk+X1p+eR+MCKKY0+zJgaKDLSE9j55S9sT30o5sZuFfd7 DOXqmgTOd7BF7xfdUWCTj8pz5eisbMTnvf9Ckj2WNdtGSSMrhgfVw3gyZJnD vaaRtC6Tl8T1yOf1g7/xsMtf3DxowadFQdjSbQqSuhmLrykD+WOFH2efvy+6 2Tmzy+9N2NNohZn+cXS4lcHfbWP4Ircrq4JSkPN5PgJGfRJJf6xhEl3IDjH5 sDo1lsdbN+DuEUtomm0VI80DuX9FDhNi5dlp8HJkGjrx6EfBZ12vSWpjfuPW u3QuUU1nkmw1ViV7iqglPSlbWIZE6/H8MGcUuyw7IfFfE8Q7UQfRs+0dShcl 8ev0ZOosvAOftgD6WJxFj+vjuWWyJg9uK8eL4ensmjAUu5fegHqNE/ZeiWNG 0HvR6V0lKns+QprSdcnLa5rcJJOO3uo7JRqH1cWowHKxrHiytI+vIzFtIZ7a T2ZpSwc6d9KhdfebGB0/HYXLEsSg886Yl6OMW6lxnL85SPRzG8/Vyy3JzUdh vjyWJuP/Q1HdW3hWVEoetoLNZxN51PoOVGs6896+PC7OUJEsK+yP6YYdObk8 hmVuJ6FQokGTty7ce5McciGB22Pd4RbUkXHHPoh+YgdeBYXSf8NpcdxMjfsr J/Hk1yC6VMQzxLwDK7424dyECGbnv8HxkomoVQzn9KQMdroTzJZXBthcbc4e 1WNYcNETsbs1OejhY6wzTmTTm3KxIU6WsR//4qiNdFeuS+ePqfehphzJ5NU/ hV+HkXzeJ5jbzAayOacNkiet+DGjF3Mel4iOrQbM+duZD1+n4VXACKpkD+f7 3MlUuTWYkRfKcdYgjBrP90DjZxSHmobzcm6T8Jg9F3rZZdCwc8PYzXac+sgK u6a/wBKFFqy4ECPNIFkWDlgijjRnQSFVlXJ3tTj1ryxXrLejJCeNmSM/wfB4 HGes6Enjdbb8FNaGTw/iJGmPNFlVvA/hH4I4e8193JnaidM7rUDwXn+G2zhz SnIv3t62HCWvriFk2Chav+3I31WRXLlKnh+dCmAUVoDpP3rQoGog++dIM3aI PBdbzoRnly4w7+AiZNqtuN3yhlh/YhBKlnhie2kN7m6QUM+62umtQjR+2xQw cEMia/PyWNRSjhm/PeETms8/vx7CJfkJHivZc05Lg7iRrYqpdzWZEnVOWBmU SOY2ajA6dizNzg7kphxL7jr6Hp/9QzhQztpJcfsrHO+ixJzyxyhT8kS+/S3M e+HNAP238L4wiXt3x1LJ+TAar4Dp+nb0X+lB8/j/sH79XmhebISSdrSYP/0d TpX581RFP4TuuInUXe04Oj+fJmVRbA9RE1GWdvy2yAVLLqqjzMQET7Yl0yFs Dyql7Nce5crwznfwaZvU2Yf9gGPzNaTG3MPiYV68IM2DWaYe9PMNYaGfP3u+ c+Tq1BG8+cGd7lGCqj3uoLZnOu+cDeSKWBeue7UfmvfK8GfWUVyx/YvVN/ux rFkNeQe/41VNEufq2fG2QSmSa5sx0XAc/gzKkvKJD5dzLB+6VGKxjRHlZ+9B 9gFNpiUq8chTXQYvmSx5YbEdE//48e3P87A0NGfZ+1/oFJUEw+0pHCNKYHrv h0gxMxUHEl25aXsXpqxIZXN+Mz73X4WEJF32l3Hnm8XWtKtx4/WmDC648kh8 OKTB//9vxe7UCzg+14sBt8wYaxLFAXo/4V2gQLvHCsw4vgBl899hn99WlEZ0 pWxZH6jtSGHAp3H8ZeSBtXWbJRNupKN//Ao8Wm/EyjknsDYdnGQ8QgR7KfDF 2zDuHqqHI5VrEFMVwjq3I2Jr57FUevEGU+c0IPTvFrxeUIQkTRXsbXXky03n hduX68jEMMwPCyWkNbGdkEbNSerUqS+BiaUpd/WNkOxuTmZQ4mDOKqoXJzss hK/1cbCqRJyLacDbxj2o2ODPmR23obWsCVdLbKld6o2gwd0lC6zqMHaPLXVc hvFW4VQki9d4rG3H1Q9dmJGbQb/dTtx5LYYrs8OZqnsKxy3U6N72DN8s9fl8 RDS19dU5ojmQo9obcU8hiheevED+4eMSa8VXWHD/J6wHy3HP+nqMDBpB5d1b 8EHxBdb3iec8xTHCMMeNy1WkZ/++O2/c9Kbyy3n4sTYbQWEaeN3pHRz07wuz mVtQNXsAJmWvhKN5s0ictQk+r4fw83IXHt3Xn8v0DyHKYjraowaw8GQgrj1S w2avTMh8GIWsh5fxdnVP1FXacmOtJxcmSvN4TT7dHPvQ/GsHLpppxHeKgXhh WImXy/U5prscF2ZJr7O1kHvvn0FjlxW4+1kf78+GccCZQIwvz+fIBdU4F7AW I1ZoU1GtyWmR9VtofanEl3MCP3QGsDT0vLgdewiXNx6HiUkHsTrMFy5Ogo7q t7HK4R9CbxSIWxMW413mFByJUuLxV5aYX7Icy58U42frJsQ8aJTM7zd8iG7T NKzbOxz3HF6gTX4fFqtIMN44TpTo+DEi5j6uuZjypV252PLFEykt/vhSNJgZ A5bhw+Q4eplOFFfD7GGj6M+zmvawSH2EeXEeXPJvGO9PVxWlWath8+i5yNEe LPXp3pxQOg3ni03Qoc2ZO4ePpazUIVbq9uDaPw0ImKIgyRlyGtFaGjwc/kFU GCTw6IkkbpK6c/XbSZjbchyGA3uJ5+/isTRFnX39zsN4oQOfmxax7pEtt50e RdVhRizso81vR/W4Zl4u01VSENb8GnKfjbm7RQ0OD5RF66T+ePOnN/37PMLn xRNw6ttmlPerEDNizPnRrwHxE6JY2/xdMvViMarTzbjta4noszCZVscrMen0 Cqd1L1MY2/cN1I88xceYW3iyNQ3vFOpQ4zsX/wIXYOirAvFOdzTdDeaIYa0F jHjViAztN0K53ogr9vnQIM+Fi4/swucZE7nTVAEDrAfzfVRHXn21VfLvegY9 xxfz5+bbwvHudoybEM4tE5O5sGEIy78V8YJdK2S7rnQK/zWU1/bchJeRGzud d+AJIx9+XjVKbHppzrkLM+H7LoCu458g03MS7erDKLOjCx9ad6HroWhe/68W tsmybLpqwrUH9QC1t4iLK2bNjWAu+FMvcsRUdFt1HGeSdwlv26+YMLoPq+Mt OCVmLapO2qI9yJrjV95CN5WzKOJBdF04moElgXQ75Mp+9Spc9qYj3rQ4cqt3 b175EsZ1rcOxfUcmjh1I4pTer1BtbIgNB6fBfE0qfsUUYaOU815m2/L7wQJG fT8kduI7Eof7ctSgTTjvN4jzQ76JkjQ7ftoQy0gdM26acgEqYX68tgx8ecOG VSv78lKXfMywUuGnYj1Omt+Hxj7GNMkJ5IaVGfx1w4JZe4NE9ugx3JDelQ36 gXwwtS+3ZuTzQ81EjjKMY87c75A7mcQaFSVum62KxMPu/Oo9EfuXFLOj61Lc 1nTiuXJ5fisayLIrwTzhnMufKQ5sP+1A0wX5UDq8TnTZFsEDsjUiu1N3DFpU gcexsbytsQrqPXOx36AW+4pO4uawYTzrqYJZej2YMDaW8dcs+VEtBot6eHDo dSsW3zak4RctPjVcgornO7DBuRs/6z7HnTXmXDVoEk+Ej2XSFg3Wxhuwb302 S/dasuPpX9h60RjD1knELu0c/opWFjMWfkd27SHcNXsIL7pyeU6mmJ2byTsx azDbKpZVnXS5X8uMn27Ysa4smON8fJkz+xWcFNXJWxQTQryge86T3+2SWbjI nScTNWid8Qgn/tqzl29PMXepD7/c1OX7vf9/pvMUEwaVS9YMiqbpzq/obKUk 3dFHoeKsxpPSrPId/xivdi0Seyp7cUa/4bzQeyz3sC+/L4pnhdRrctemcXRR MH/06k8u7i3UTP8hxMyG865qYsnaSug9ThQRklBs0Tfkuq2T6HLFFGMVTyAr bDLv5nmxxNufrpVd+E7KhCOd2zBF4ouxB8NZkTWKebt/gM874sqxkVR4M5ap Q8Kpv/4/xE8X0N+mRpePU3FlnhurB/Xnkzf+nHNEjV0vRlF5a0/6LFFiqrwr hpy4gIhDDjQcmYS6tA54snAohzwZysfpq1B8oZjavSdRfZA8NSLvoHu59Dc6 5THnw3zIrdHloNXTkNq/G2zVpLPbwYvGkU3itW8Qhykl8uTvTnzyKY+1reqM ifHi46v6rDmqyYdtnVm/RZPKvsuRe0mXStO7c0ZTP5Z/aMTn3oX026eDkz5r xBfj5ZgwLJqPDIJYO9uT2xp60aSkVgy1Sme7KGYX6fw+dbgHnbF2vDuwkA1B +eyW5UTdvNuotrzqVHxAhuWdh7H3poEsaJPD1VQ5Gv2Jwfq23bj5LJvuU/PZ liG4aPIHHHlWzGX1ZUhqsKJtojHmOBVCvnkkb58sRuBxHygfnUi/CxkceFiG s1HA3fH+lEmyQrvfGC6wixMzuw6A6WgJN15aiqA3gVJONWJB+3LRfUcrTj8x h3LEAawN1JAMG5dEdZNGXDs+kGeev8d+MZC1LaUSfpXW5VEZ0sOKGPdcwucW VzCqfgPQ01M6z0lsiZHDUtf5oveVFPb8Hc6QpVm0G2rIh720mDb/JDpmT8et cbtxoMAUGf02Ys+vPC6pW4zPbVFctj2eT0b2ZetjV27LOQb3h0qiT88yZI2Y wKsJ+qIw2J5KNvkcKGuGlwzjlahN+Dy0GFtnJXOiUiXC2hWxdX4kUdqRLV+v ifG/qtE4PlFsLXWWusVc7NgwgC0WNaI55xouxsTiU8QAGE+4D3UvV9yrMmKt hh8/KhYIf4e/wsnJjvffJvFC2iUEffwkHvkGU7bYjb8fv4Dv2BimXXfkiD2T mer0HFdLm+GVKcMNH4P44UQHTp+mQ7uZ9eK7dSqqsgYz52kZnr/2k/Z4d2R5 7cK4r9I+/n5UzLDrwH422WzovQZlVsth9/I83map0nqjJ1P+00LHvtsx93ur CHk3iFoRO/B7uRdlXkbDs+k4VNq+iLGHzFgRsxWuww+J645nMXakA95dnsTu F/Ziw80Ulj10p/Obvvwd3RuZR4rp2KkP47M8WHAwmenJ9lxml8bW1Ml8ctCI 9yq+Q/vVQB42GU+PeDd2S7WUNGwnJz/VoV5WDapVzkNJIRX7nhZghPFVydVI aeLUSmvx3gQOz8Ow9ImOuBc+FVvl/PnV3gSDlFJ47+MkjPAaQY+UFgzpOoiP dmnwwBNfXPZWYu2th7g2h+z9wY4t/X/BpMqZtTP6svnVQBR2mQhHHxlJ7SZj eF1O5VD7h4gzGMbq9F345L8MSQZDeN0/lu7L3Tk5fg36nNfg5a6x1B16EtOW WfC760w09fak2ZpsXlk9iX8GNeCXehBi9n9B75wpInZNFB2iDGmQu0M83LMU pyJ1OaWPPY0vTodvhjddxieyuXgTbOvlGKplwQGxMrx2Npzdp4Qg9ec/RG8c 4PRHNh9ZS/IYrd6N0WOyadY5nENjC+C5FXxcdhcX2kdQqW0Fxve7iGa7/XCe N45a17uy1NadpmHrRU1fc4zylBfVmnH89SOBTdfPYFPeB/HcOFAyXrkjL9hu R+HgrtDtm8uKrYXivZ4nD5fqsPeGYp4PtOaTM8nc/7cMCoMrYLc7kof2rkPe +CIare5I/9QZGPRsHBW1V8NtXZ0o7EEOvBIID21D7GvIRObxErG0VPDLeyv+ ze0ouqvpsMC5E+8s1MOB1TY4YngeetPCOPxOGNt+23JW83lhc8QLIX1y0Wjd GSPmVWLfcjUG3PdghWo0WkMG8lJfeXZJHMuvLutE3uSXkO9qz9MX/uHyibk4 scoZefY9IX/DkvEJkymZbgOFlQ9xUV0NtcsmYLPvVZERXocW0874kyDPLMvh LAss4NTQo5jVugLzaruxcnsFPg/54zTc0J2ODuasXCtEaI4Bn73K5aCNsmwc F4P/f4fu0TNbrlvxXNibdGDhgR6M6z+GjfduO+UG3BWv0vWo2d6TA6TzPz30 Eu5PnSex2Cfl+8XRovu4oUh85MebCMfpKbdFU8p8tBmdw/C57ZLBCpM56eYw PPl8FF3Wx9PBL54LNxphY0sCCy6fwLyT2nxwI4c+p0rgFNAR5usdqXMrirOv G3OUrhPGJDpAaYkTizfr8+KydJ6uN+RK2zCu1tEUmz77iYZNKnw5QJV23hOo OvGC6PdXg8+996JlSU8OXbkZFUcV6H84i6/rMjlupzW/ZZyDhocjf5Xtg6Qk gocju9Px9xtcuRJKq8/Dad/hjfi6/DcWXnTCf8+UcSg7Xhw71Q+x/brydE4K 5wXNg93Pw2JN/RVM+ZbAsdtjGX4vjHKb/PEtPITHZiayRdjimX4M7/IAdtQI ql286rQ4564IXvUbqk7RdGx96nTthiynbbwt5HKsEBrjw4slTZKO1wbRck1P Nt7NZVRZi0hKV+PurYLJE92p3k8Pi8tbYH4oGLIusezlOJEj9HZCSV2X5SkV mHG4CNonVfiqyw60NkSiOnoD7GacwYkqLcqq9mDX3+acVxPGWQeIgxRsMY+h 77gurH0znJXT9eEc+02kJgYzRvsqLALk+HDjGqdf1sZUmnAOxuf3oeLMyiHh IbV4ndCLCtkzxL+wv6JtYSynntCHx6ZTMHvRG12+tDgNVB7G8s26YqNVNHcq ytNHb6fknbYM25QMgKgOXBCbTOdyXXSbLeXG8GqR4zwb4y+MRaOZMXdu7oil /tY0+3IH14Q+y79OxeZEDRH5/Qrem38T//okc7VvI3pvTmSXf2a80daE0lh3 ag425gmVaLp6dOQNHsI/q0JerP4ulnm74xTtaHBxAA0KCthePYCvqsfynUw8 Vk53ZqRsGj8lWHH+CV0ezjmHM19WIaBrT3Z+bMkiGy++dYukxMQeAdHfcXO9 DNdWz4d2hBHb1CpFr84FbLs8kvWP0vHU7RjGfA3HTssBwvXVEWQXeeCGxRY4 Gr3AlZYsJmqWIk4rh/d156AmqE0MuxuMU3ohEpb9EorftyPm4jkE2Bjjg6E9 AzPD6Fs7gfF+CUwcmYqRC7K4s7UdZ88sQ2LEcmTd68Hu8zXQGqbDEwZp/Hwt B71y5NDxVDnSHhQIk2xXXgjSZY+EZB6T7cL6hz/R3K8T9UfYMnNzGAPWZlKt +2FYDNCi1rJfeNg5H4eaTuKN7V/0vr4CG2wm8I+TLMetHCxlJ3VscOrNqXIF 7DC4O+cOieFvZQNmr3mLK7WnMf5Yo9hlb8GzR7Vp0DoMecp3cDfaAK3GV7Hz VgqOzrwFS+X/sOKkA+sie0n2JTeItM65zH+WxM5+j6B/wQf6swppffsTHgXa iksRU+Ah+x0hTc9QkxXH2eODucvCgkdfu3NfhC9/3fOm7snVmLtchgqBE3DF 3Ze3HPuiuHwp8tbaUL5ShQ+n10M8X430DpfREKXKj+MSxZRwb+7s482Fv1Sp 49kMWd9MGnR0RuvqyeztPBNbfm/Blxl7UJNfLlRfSx1ut5G4uX8grrj+wuYf vTAwSoeyWd15uPMIPug0kfKuC+HdYirZO0eBxl91WFWswtedHTG60p5DVPry jGEN3jcn0P7xU8m5uNNocHdBn7EzJCandmOMymVIju/GqW33cTBqF45M0eS9 9aP5Yl8ALSOU+fVxJQ7MM6P+pQyWuQdzkWt3LlQP5ewR2UzBYBZETKSncZVw 8g3lSsdg6uQq8Ur5baRdGcJ5OaGYoNuJ9fKHRcPJWSJhSwTrPuexssUZekMu OhVPicaLz//EjvKt6GH/F7ce52KX0SUMtldBZL/HuLxGyjAvBvN34H4onQD/ VA2g94HZsJ1ry/YGU1yKT+KWN0/tt3ircEnSKG6utaTmhitwcpnAa67WNO8X DS9nMyavP4xPp4dyueMTYRBvS4eX9yXTZ7hyVc1BfPwYwrJmF8q+VqSRNIMW y85B4FxwSvdDIuaKsehz14U+c+K5t/sVqY+tw6b5t/BsuyKXpi7GkBFzkG/z C498s9jnu4FwTnyLOaoN+OeSRkPj/qzaIeGRyRW4HZ0l9B4rM2ThVjysDeP2 3zZ4NKtZHD6ULi6+seHwv14s136JpHW9uGHdPuQ7PEG2d3+evPAGr8J1UNs5 z2lSkTUTvabAXfes+JZeQC/TKB68EMOQ/N7sE75M0n1adxFeEMnX06JZfvQ2 ero8kpx5EM9vSdbUVPRj9I8sPH7ekSdc3THQZRIXN/lx1ozRjNm9UpI0KoJa yg2QX2PG3L8qdKhpgOpUb5REKLKbgyVNRuejWN6aw6rXiTBHR/rPnou7kpHc uMOZM3rtwt3Pdeh5+jCal0ayb+1R7L4RhLaCcbTImg/3DUPp8zgTf39cwmrb GrF/npkwSN4Pm266/CH3U6Tf+ySq4uUwU34Qb1RMwjTDQ2g9NBSOw+sRWFNM l2hZuk6zRcmVQEbGbUOTehhtRyY77rw7ijYXPdkakQaF8q4sGnBR/DI35z/r mei7qgFzdmXxSc9h7DKtAF1Vw3D+30cha+vCB8nKGHFFnteH/hD/bRGcP65G zJ5uSnXpfXb1S+UvjVjOG2nOXK2too9kn3g9S4aZidMQWXBFhFvp0kalDx2i Y/j9oiVm9Q5Am0UJtAcOQKZ7BCs1z+KYhyVL1OPZHvZHrA3YhbqL5eLwrgQx U30BrtYsQ1N4rejcealk7EgtDh/8GpYOHgi715P+t4cyd2C7aA/agaLcEazR tuSLula0NMSj8uN8yN+J4HgFO7pZHMF0kzuiq388V2pMZk+pT1yQ04dBiAfv L1Fjlbwdt4S5SgY1Z3JFfQ1eaJrz/SkPTtgpx/O1CTw46CgyZJbAe5ovnRPn 4/D+SqgvnoVMKU+tX9CV+87ulPSyCeW2mOPotOYARpxz5OhPClx4VY5lxQdQ qLNbcukn6DuxG49dEqjw92H+fn2ujsjhcYM4KCbdF453LNhpwg8M+6LED34V YmT4Ickhh2TeGNQqEjJDEFAxCDmlq1Cu+Ag/UqoQt/g1qj968IY4AYV105Bx SJ4JXjbs3CGWrztMFdpfI9jj3SbcivZilGYXPg/1Zh+VTLH1uTZk+vlwwqyP YqF5Ok/+UmFNYJG4LrMcChPPodcvS+Zo1WOZcSz/he6FmsxovFr/AX0t/dhc Kz3XNZZMv7UVvpWfYDIknL/abmLiBLDX2rmwy4wlr6YxM/kdmgaPpX6uLocO 2YSMb/+gm2gnZVhHerWncUU3a8rP9ObwD+nCamgJfroOZPmhdL4JGMbnC9T5 PNueziFGCD43C67fBcuLZsF7ezE3zulEnT1mmJDvhUcdPWgrd168SevPvlrD qSi9j9HXXfnEbQduK57FpS7v8KpEk/p7jJg2tBkfR6tgiJkWzeZL4DfmJv7N VOWMcXJ4+tmYtg6pGFafzfl6PXmuYSi9OkXxiDQPp5VkclC+AvzaTcX8m725 RvuKuKluSY8xfiwIDOcX43qxokWHx8bn87i8lF/r4p3mxQRwXJwXE/QiGJpx Ee7nLURYfCd+cLiAV9sqcCFCC5cdxzHiiQumtb3G+aJ6+OebofKNBc9ku+P8 PjtW16zEh6rJtDX34uhjEbBvu48/9jbUfTKZM+fdw4FrxZzdO5CbrBI556oS G99E8FEXeVy37cSNp/J5YW4AF/5Vwa2JffjmxGTxTPm9qJWz5p3kajTL96ea Uk9xYt5kOu9IoolKAl7WqLHn4yzkWfyU2B9/B8XUueLHYRn+MvGivLsNgwv7 O3XUUOeBwc5UfNSF1bNXI7C9Gu1Fcng/Mx3uLXlUeHgOhY7rcazHN/HZ4jQM u1+VdDqhwdrv96Cw3ZlF1kPhvmUrti3+ioSwFnxRvYJR1hl8VBbERf0SoZaT z8slo9EW8Bxve/bkXrFQYmpjwV/e4xE6yJwxp3o6vFDyZ9amyfRZH06f/LVQ ke/KUZFp3KJ7H3sKQW3NEpz9FcmCCm8eupgKkenL4BszMNjlHpYdl8eom0Y8 NiaJxV/foCi8Bs8eK2Pijf7YEP4BXy4/xtVB0/BuQAx7HtyEAsNY/t7dhwp/ xkNj7kE4PtMXD7v14qhnQ4Tj/9/51zTiAyst/sgeRpsiE2irHoFPnD1X5fUT a3Ske7E1gTPH9mBY3gn03+xKoX4ak39/hv5hI3Za4UbHYR25b8ghMasply5P 85GgtQYaGu8g5/EdRkc0YfO7N3XLCnheW5bXX72UrOu/Byt85+BdmjG7jfPj plGx3FcbCStp7r0PsGNTazbCOsTQf+ILEf91Mld7mjCvYRI7BFgwvmIaLrl1 pksPgayjWYzIVOJj7XBqN2ayrUsH6ssXMj9PDZeDs+lzqw6h4bJYvsGXK3V2 4GuSOuQc0liSNpLfennxqMxInrLLZ9qJCE7c+h5tf5Vp7zAaN9y1+L7ys+jm rUEfmddIqJHH2aR14s38CfhmbcetX92podOPPcMvY+X4Ar7+FyGmftCkm5cV Ne6a8esCG44NSuWGn3OdBlXexrDHKfRRNqVdxV2o3GsUUDiM9c2jee5XMBs0 VDgtcQGGP/FkjVk3dtLK5qSV/6HlhbQWibuE22hVThv0GT/vjOZLdxcq6upx o9S7489exO+gDF5wN+Cpb9uc/lvfGzXVpcJT2PPY2ELJ7rBiTB3hyeQVWbi7 x4TuB+/DIcMW+0xTOW+gJfsKBR71uYrVJiOd2gKy2OvLBnSb4s3tg/uyQ99U rjyzxTHCToUHFNYi++pYYmEWr6uPZMipIvYLcqCqUgJvfNsrQpd0ZI/qw2Ke dTd66i8SIuU59n7tzC0dhiK4oi9TR6RKPb0XPWZN4p72MHouPY3jt2J5edda 7D8wgoOuOTBsRSeK91uxf+0gYWFniDOhrswakMKdZ9TZaPQaR9NGUC+uOx7d foivyeewtdkCXTWlzhFNZvezwIDUcfzvV7jo/dCB5dFlqHsUxO9T7JAvmYVl 3xV5NaIcqg/3CN0ydX7RXAWjnGp4mPwTmx9V4ebI/nyn0u7k4HwW2+Z3YtKl AknUBiuqnLQghxng5aSO7PnSmDMdF+HBpj688m4l7iZHM82xG0e9nMAt9hdR tWqqeLt/Msc1DOK9HfuQYH4cq1fa8+HDZajb9g82K74LP1t3eu8aA0WvHux4 P59eGlnC+/EeZO/aiitOzjxf58lJG2zErMGRTC/SZhfdddjQVYltv3VYwFzx 5Ml7dHs0kkpGVTjwYSkWixnovsqHBrO60Sr6L77JDKFKfqGYk9cB6UrJfKvQ kyU6Y9B2MAkxAeGMaXYSS1brs1l7ARbce4xeifa8pVjAzQdUeSxGh0vzcnAi YhWqpWxUfXsusvZ1wBArCSI/dKXugq3o6uZAefVO1IyM4XFzN+7NysK5j9Ng 0RrLVxq2eLLyITYftmCMXw7zVmZy6N3bCJS1R9KPUVwYcQlrYvPZYaoTP1zy hIvRRDQHhLHn1Ch+ilflvOonqByQg2Pxc0R+/0TKzk1l1y3/CevBLmxOfIwl UV2psqgQdStCRLpOHIcfdOObPp3R77Qdb56pQQUHs8cpVyq/HsK1l8NY6jqY n6YZYMO6GBb1tKVh02vRcvYxHp6dJnQ1etI6K4ZPwo+jV30n+v805/7gaL4o HcFZxqrU36pA00863DN8DE+9KsT3Yje+PL5WvJ7kwIXnA/G76CwCHrnz0z43 /skKRuoBf05ZFMcR1krQ3P0NmqvV2HGBIfW7LUbxj/+gt/IHunaU4cun3fB9 dThv3S/DuIGGLK8GZ3ZNhlz+SKCsmL1PRNNIoQdtPkRy664XKMs5I9Z+V6Xc hn4sbDiBl99/wWJtLdIOxnF/fhgffd0i1qrEcs+u3mzXNcKPigXQHduOKOel +LhLjd/VRvDIsAK++DaWNfUDGJq4Cx429TgpJ+/kNVaNd9JrYLd+MGMyh0vE 9ni+2TOUupP74/zfEph+DeS+nnKUXewhad+gyMZ1gfCt1uazjjHc1/AHwxdu xyy9l+jT+YxQnKbFe8+le2avDM9JXWX2slpxsFcwJh/eA+d6Z/YbP5DOUXdE 5clQ5nbPxILarswM7SjQtZskffNN9Hl/BGLwZmFp3p9nbh7DiVAbVsyW8mXG E+SXNuBuhDtfrsrk/bOXnC7o+tJCq5i7FTZiyu0ONE+VpX9DZ3y4k82uoR4c t8aZEVdk+G3qLlSaKPCOrDZPl0WyU74at4Tsg+qeAvL6W9FjRRxt3IypP2Eo nyoMZIlDMGoy4qi2w5erikdy0Z3daN+nwjHirDhnrEv5afE8uaQv6/1Oiqc+ ZzB24wAmvhlG82MP4dX2Ez6ftLC//J3YnhXOG/0eIW39Akz4b7S4rzSGLTdP 45iOHzsEy/NavR78Fk8VbYXt0NPQ4OaGJPpKd+PbaHPRT/cDfh8bwm+vFomp StNFwgg/PPocSe237uwxcCQNC6fBf8toDo02pt7DNFryOBZNngP5GhnGPrTh hZ26jI7qy8RHeTT5zxO2Zj4shNSRjl2R+HVwZWR4JWTy3Lnq5TvMkDLkJh8r TurmgUs+OagK/YFXPaLFgMUKNDEglyyS9kOoNj4fkcVo4x7cM9UTpUl/nAz6 OnLNqm78aL8GFQ7DGeZaiCftyUy5/0Ss+XoF4/eqMWDXFux6vB8xn3zo8KoW 8sX6ol1BQi5eJLzexkGtvx19N0Rz5v0buLfAk8X+6jy8SI0bjm/CMT+pY+8Y yawVOTw8MohZo/eIRCkb1NV24cZxoRhtlMzwNV54cEiZYaGOlD+zD252z/Gq 5zjpHruFqs4fkXnSlCP2mzEtIhfXDxQx/tY0bEzvwtf9LPn3viGKdFbj+YkZ +Pfeif2driGyIoP2gWP56a0HB8tMxOTiQnY90gu1CgPoPj+OhusHMs5gACOX KjLvfT2m6z8XatW7UN5yGy4lh6B0wYa58f24Wi8BHWd1gKubKxNmVOH44Av4 +jGW51f1Y2q2Lk81qguToQvgsPk/HHHMEpHrL6Hx+j5JieddycOaFC7wdaR9 UCwXT7Xi34rp2NpDEy39zkFzwH2MXxbE6d3KRNyYGHyFMZf/uYtOH25j8bkI KOw3oK2bLtpr5HnhqBZ3mJOjNzU47fgxBRZSPvKZnMIb6zzFrlub0N8sj+oi AvoKI5nooc8N9Rk89CtQnFiTxriN4JqUD2K3Rh4zBvtyeWIYVXOGcbSMM/r2 kePAL6r88CEat8fPQ8u6WiEbfwbdqlVQY7kMybPrRNN/lvx4eik8Tt5DhZEb qKHLUUq57L1ZnYorpiBvfDuC19YhoeQcVn/YI24nf0Tug2+w1g/iz03efKg8 gvHTzwpRa8/ZMnFsuGYnkn1kqT5/FK2+NyHf5bW4c2K36P/HlYfEdWSHxbFc ZQXqjAJ4OzqbEb1uipc362AdHMoHhhqsXHYb/R0/YtWiTdj0aY1kQn9d7t9x DPqammxK0GeCgjUOKkvY9OWlKN6nQCu7NKyJ0+Oj3dfQydKD6bsqMOqxGd8G juB942AW2ERwlaUp43MVmNAwgftMbHhZXVFItNOp5/4Ubj86UnuhD49ojODK dWEYMf4q/GOsaaUTydiYWfjX4xnk1v8Spw4l8OUKW45fGMktK8YxOiac+c+H UO3nYlhK3WLagkiGdVgsJvzqw5Q9Z8V//6aKCRnGGOhvyDxrB15znEwLKXvl quyG6/s0pC9ORYVyEO/MsZJMNFgv5lwJ5uGY91iY6MlzWsNoWUwU3XGj1scJ nLpnPCe7luLOyi8Iafspdm8PYnftFM5ZswqRh85j1BRnqvXuw5FNc9GQGouh M98jqaReDGtdgaMnwllyeoPY2G85Bqjo8XXAWAwZ+0aMy/THvn0T6fbXhN+l jm0tE4l95uPxuTSdPxPiOEDLmhN2NQm784P5L7EaQVtixV//X+jamEaLBsEr vWowrRGYG1WNoeqHMGqLPQaOuQtjPWOn0zNdnbytdKHZmITVv9LYdsidX0rU xNdkZW6VZt/BgErR2uIt6t4INsKJhnqnhPeyavw3LwSvcjRY19We8tu/IslY 0+HLjQyaWBmw47kAHNzUA77nkvj3pyJ1jhjg4gMlTuu+Fd8zQ7FcmiXxY7ux z5kH4sb7V5jeNx0tzuCR20fFzu7NInONG6/PqEBdxB6c9E4A3B8ib68T5ysm 0e9bb2Z9jcNp+/Hs+qA3tUrnYupnZ26z6cqYdd606rEertayfHzZkUc1Cuk6 ugwVo/aj19KteJp8UEz/Ys2TlV+hd+aBk/+zniz1N2LE/HSeuubJSslCybih OfjaoEUNLQVu8tTFrKcPRb7lO7w5PAPbT6WwcMtebIwJRcbL+3hwLw/GG2Sw rLREUt1eAQufndLsiWLlqUh0dFYRbw5cx8yfL7FzeAsO71mLP8qG8CqLwqJR HixyHo/gawH88+0z7t+w59AlAQh/sxqTun0U0a5BGDB6G8KiPsLeJx9Rsb60 M+1Oy0OTMOxuLT6HWrFzp3mi8mdXTumezFgzFTquyuO+v5X4r1sVuvxqFidO DKfnaiUGq9rTvpcpSj924+Qz2qw+cBa/Wr9Ay204r59eBO/opTALeonwGn06 FMSwxjWZelGvkTJvJaZbOYrTC+X4Y9FI/jszDcvGOjFhVB7nmdkh57EHf8p2 4O4Wbfb33ok4m+s4t7DC6a9DPoMP12CPXCKD9E/CZZ8NMr5Lmf6lC8v0TiKw dDO6GzRhbk4ATc4G8GXmAbxw+odvjjJiypQxcJyxFFEBndBmJejdPAbJWYtx NEJwh5OM6JRUjU7KHvReYMoQpweYylheWWJEo5pBXIElQtEhWHJ/fzIOzp4k pmxU44K+x/CnsBG95FaIw/KjkDTpKrYsK4Lymk68bWLGJSNyaDQ5j/nPTJm5 wYCHTBXYuF+G2xS7c2qv23hreBt/wr3Re4AcdSLnImS1MfIe+7GtMpfHHxSy 5dsstC1NF+vXaHHnpt3QOaTF6gX++F0v5dPtEzll2E+0Gr7Dg1ex9PSRo//k A3hzbx3ObPRlzYrenPw3hX8n5rJ7sRFc/36XdCqVsG/YTtQ+ewLXF/mS+add ULlaDUdbpZ7lNQs6Ufcx61sAnzYVY/rSIub8GoZz7d3om2kPpZuDRVvMPew0 BGGsw15nynDbJIg+B2P4acZ0zNJpxvfOASwR+XzguV6sbAhkQVI4z3Z6JlKy NXlL10HIeyZha+B5fJ0yhNo2DRjw6JEwCTmNVa8jGFrtzeh3plBXKuKwfCN+ X7ocmro7sG3iJvw5WUhj3Rsix3295JFvB1b+SGHqCxeUpHvRscMIXghIodUb Y8mMLG0GZU4i5EIR3duTqcsTeHTZaHp80eaAh4HsECZ1mv0SaqmvF0fv+/PZ qP60at+OLkufoW7ASdyd3pvu1v58MTOQ25t6cVVeKPU1Mvj79mAeU8/mBqtU cdDRmGuspFn6cCYeT/RHzoaNomD5T3F+/y3U/DuPJQGF7BNxHp+7daPW6RB2 lNZxw8UbSHxnjFE2nbnPuhB3lIfAu7QFx9dMoPL6q2hOHcozJn9Er5WONHS+ jGAlR954qc51n0ZBfuZHNEx15yyPGeLq9mXQ++nE/e9KRMOfpWic/f/51KJb oDUmHcmDt8pS3PfbgAxDd675dww3m5NRdDSEmHMfGgpK4nynTlQ5P0ticOCO o6xJFdZ5zMfPV+n8ujWXB7uNZLznEgwbaceG1t1Yj3rklYTSWOpoX9IVufFl GA94qLAu7P/7SZc1L8EvZik0NR2Iv1nzxMfrUk5U0uH51M/C691xlAW4cP1U af9U7RbTlRpxpvQa5uqYsn/XFCrOz6aM3xMRZPwSz1b35UYRz3NBjxF4V5On v/dnSGWpmH9hCFd6FNM0fYl4Je/C9463UbGoBY5bohA265nk+BAPJhzejrL4 VN4/mcVqW38GHzNjyuBqsS7+M0w3q3HmtFx2e5ZBtbJhlCh25acpjnT6ls2Y g+D41X/F1sQrsD84nsO9ZOB79gTSP3RF5ylbkFR+E1XX89nb0ZDq93LYPHaK U3fzJlx8VMgfIcksXKvInScUMNaoDQX3dTh7pglUz7jAutWBCvbK/DPbjNIT g65CHhNXfMGQ47I8PnQsdWZcE88nfcZ5mzRGaPljjfNRDM79hG/XJ8C+7BYe GK/ACw1LDkr+g9Gr3Kn7RAXm6oWsuHsMZ/6TpU/NbKH42p1jin7jWcg7FL4Y xr2rxjGqizs35g1lRp4lv29vxomBfRi0ZyDXnpblXucMjsy/KQ4cc+SvW3Z8 8XUc+69c66D9Gbgz0ojR5wbx+ZbF4v3iaNYVu2Db8HtQnb8CF/2fYs7QUM7a 5k77uulAbCuc/CxgfmIYgka/RdUVBY4e3x8Xkj/A+eYTqMpKM7VnFvJyI6iS ZMbhVaq8pl3IksVx9Cy9J7lspMrFv29h8xBZPlBQ5NvRFWKI6V8MONksUv02 O3Z+b8fKwdLdUKPJyU/DqXfbjK/k7sAw8TEqTquyrnshTtsOZ4KSDXdrlmK0 khLdK6Q7ykkFdjbX8GbdBF5fGspqo0+waIzD188KPPn6P9SMDeHUUE1+jpoI mwM1aNwwhrpV6XydrczSm6/wusMq7JE6+ez4O3jr/1Nke+uyYM1J8eBdHJ6u UqTnfTfavx9J//j7YvRjN64asgUz9gBOB89Kps8By+49xdN5Y7HwoQv7DVkh RlUNp89sW1olq/LYYh9IdrRijtM73M+Ygh15f1EX7sO8NR2RVCq41+4K9t7I 5hZ1T06K8xXni93p1G7H+tgjGOZ5GRPC06lj+QsZTaZEtQxvBFjS00nCovIW zNsci89Ps2HX6Mfbxy/i5tFruFcn5bsRo2j/vBtD6n9I0hePZ5d7rvx9MwQj tq5GxspGfH4XzWWzHkBxhwLynQt5FnEcUWfG681PxNsRXYm5Gpy0zU2ybJQB b36JotMsHwTBlDcfV4rtMrJcqDALyyZn8kzv66jvFczUc3rU8EvDqM292Ut2 M3xNNkMy9x8WlPpQXExgzfhLEsVBCixckMaa8lSmHV0HRS1dXhu0GtNm66Hg 9jg2PGuAeqotz/r3oK1MOsw/FFH24W/EDt4hqnpqM1NjtJhdZwvPp8m0y94o Ugw3iLN9Y5jt1IE/Z8nhhk0EMrNuwSZjIda6GbKhnwZVDrtQrT4KD8q3YOix Pnx12pxFqbKSu3HjcdnZhgHVueg+9pDoWK7Bzo03JUErz2Kn8kDIytQJ78t9 MOm5JRXETki2znYyH/pc/O30Q8wN9mVWb00Wps3GNFNXjvivAT0GDqTL5ViO VXgAJWlPPtkRT4/ga4gI+w6ZHKkvJXZjVcUlvO6ShsGR3Vl62pt7H4dxmpeO 2Pglj9/yraHiJPWPdyZ8szuc9+4ZU/fbGXQ0TKfZy170LZmGnikB+FegxqbS o1jW4sQ6e0POrJqPc/2X4XmlKts0MjmoUpHHOiZxvuckWl+MZ03ZeBbMc6bG Cnlor6+F9Vs/6mfosk+PQMm8YDnm7xnLxsan+NHxP0zrYc+9IVbEoiH06xDC ktTlqEpNommP7tycOFGo9HKh+Uey+PoyLPm+BbmJK/DftSo8fXBXEjQgi6df adL73gkYpntz8LTJLJ9uzUGT+/P4Zn+2qSiwNN1AFLrdwus8FUmTVSSHZy/A +2MKbJ1/Gsd7pVOlyoB9YzKp6WYpzK6rg2tPoV5pkGiy7MsOk5L44JoiPK+/ w/vDk6E3YTrcZhuiz4hIFum6UVllKGquuCEi+D50x8hQb+9iSVCG4K27Kozq 24AXqwZzZXEwldUm8lJ9EybJDMHDgIPIPamEIxtl+EHOnF6rr6FgQgdmaU5k 8PEifF0exnsbv0h+LDEV0XtO4fTsfqLp+UBqrTdgZv1nyYmESlyyG0bjOAnm POjP06cymVs/Rdx/+hxBN8/i8O4GvK9uFsf1VTHwmgp/Hp4vSlxnw1Fltugy vV6cKp1AjcpwdimcC83jRezTpxRONzR43dWXT7so8khSJ3ZwcGXW/zg473gu 3/+LS8qoRAhRdhnJJryvc8jeK6NIJSSylRkNaWrvvbSntGhp72jPT0VDOw3a /d7f3//3+3Ff93W/zjnP83hfj9s4Ayu0mrGi0IuDTlbD4GgCLXb2o+zIkVJf 2A5zJ0umHO3DW2stOFO2IwdH9eeZJjWqFxwROw2vo9sUS95cNRY/1kxCZt5w +iar8dv+ZL7QluEk5UwxfJIPe/mcgcJcC1YG6Ii14r4kP2+gSDtXiz2W27H8 kjsHKO0UAycXsb9aLM3cRjHwnJX4eeIPwrSG8JrSX0w3SOXi+VZUCkjl3xO9 ecjZk6uc/yFor4JIsCjgzSc5HL/AlEZGpnx9VNr5TgzmgX5rkdyngFdav6On yS3oj/ajVfej+PgtnhY23XhEIZJDteSZE1EuWdzkQYcwa7pVeVHiEMbIRT6c 9NWFka0fxObM0TSaoMEuTu/Qd7ImYnZ48sWzXiyb1SyMqlWE68cuYt83U2Ff /hu/zlhx6cF/4mdKb+48acRFPmrw2dBTjFrhy1kPBwjF0s+i7Va5KBtfjIsn F6BYowuint+BRL0/p6xOQ+V0Z8buC8R2V2cWvLoJa0t37i3aBIWU9ZgTNpId gj/h9rcmrBxVSqe7W5A7qjsGHVQX/1rzaLIxhSPfRCDzz33cr+pCn3vfkWvi zacRHrR/vlk4VWhwdUYgp9e50U53sGThHxUknw9ij67fMbl/IP89GM7744bi i9c66GkcEWWyMTzQWUIrmadomdUB+ttKOC/kM8SSIp6UrnNYqycTC/Mok58n Js9/Bt+nV8XRL/HcNMiN6e+DaBC4BNub5Xm5PI7PhyRytkcnJq/vQC0LeTZ+ 8WbfKXeh4RPGrqdU8dU9h57rQ3jta1/u8XNmVONdybZ4AyYdT6R8WilU04K5 uX6pSAk/g2nK3lz4tDuVm6eJZZtk+LLsHIYNqhAmMeX4Od2Wt621MVjKyEoT l2JPhAatrUN4Zlgn2i09gScndTh15n1MkEzgKi8jej/4gTDHQLZ9uofSCwfE BzsbFh7ozKovF6DyQcKgYc+ww30Qe8uMYUZjXzGvryULa76Le9/bcb/PKJ78 cQUNdfnclOZAh+TXWJk3QLhUOHPHrFY8kZkizrVMxc/IWMp5lHGr9wgOudQq 1hr6cFjFRbGqwYwtb1xgZTKci3MOoffRZP5VfCvG9d6EXXo5TD02HCHfRnNz +2b4r52PHd6daFG7A+sGzoWc5gWkd38r8f/SDs3wGPaevBWa68HhGSO4160b l5sr0muCAS2riaM/A7h0+Cgu1FaCX3Emd/6K4IvtsZynMwJ9FfIRd8+eMd3e YLGWPZrGWdDruxb19fvwkNwvETFQB9vDXqGP/mKhMFHAbO13iZFFZ67JvYJR YaM45WwJu1S8RpWMBJqN3jhb34Pf383BtmHl4sp4cz7ZMYRdpH3RdN0h0fJf MsbN+Ihi6awuylGhqUIehz6O4rc1+2Gz+zg8yh14erE8d0V6M26bIytP7xWa Ogo8NOswDszQYx/veuj0uI+HvQJQ1GMIP1llY/vWB7g6ogGHz/WSdj9NZu9v RfnHtSLe0JUh/qbs53AGIU+rYHfvDnbctOGnXfqsaTGnxGeS2O0+gj/vS9jy oB8n7nNmWHwJM1pM4SNfJ7qqBNBqdlcm7g+lU5acqMiTevGlPJoOVqKC8k5c itfiiHGuTG1cCEXjwXDv5EHrCnW2x1/Ez9RkDL25Ags714s2pTBaZGuyMPY7 FPOmQuNhf8rsTERHw8Xi+x9HaJ1eI7HbLcsRUvbJP9ML43cN4JpgV3ond+fT M9ZMeWQD0duQd6Ieiyl35Zgi/xoRwWP40+0jXOMaxePrJxARnsbqC2FY8dKA dw9uQeDcdZLuJYa8a9gPc5RTGbl6HGVvGPCeYhBrcnxpwhhnzxedeHfmJBHR S6oDX3deml7ClQo9mDOolGveHMK7sflc8NyIs3cY8LzqWkTsFwzVSOZxjzAu 9fnfmfab6BhkxPI0bR7TtKF6r9G8YzYfCWZzEPpYwstPfOj4w5/bbwQy3smY P46N4yzfYio3ZcHn83MsGFktDG5PQ4ylM/tqufFeeCAn7tbm7+PDmL6mXPLv dA563p6HLreTuNNyNHt26s8i/xKu2OnF/dp92P1eDs8n6iPZvxRbh2lhUs5k LLvlxfMu/ZBwWJ4WTw/CqssD2NxMQtJMX6h+mQWHrCYo66vR66cjF9+JYOe5 OaweOpyp4XoiTkWPaTUd2BB8Q4SZzILHYm8WH3cG89Q4+MIIKTMZ8nP9VZw0 KsX7O5exqzEdU7p15EHN07Bcfw5KjhmczzjeME7igdwcprXdwedEH8iFr8CJ l7thvusrBm55KJHL9EZ7J2tJrlUGn30OZIbHAtR0cOLa7540KAzn9RGe4slL L8q/t2DR/WoxyWk5/tr6cNw4DSi+knqahjt3lTizJdiLP4MeuiqVfMcMr0iR /WU7tMalMHVOVzZ1zMCSiCweQG+cvDJdDC7yRLtqBKf8GQvvMCXoF+zGXs+v Yu8uTdbMH89B2y4i4MYsTNTeKh4dvQQR2VfIdf+EhrSvuPu9CZVX9DEwtCsn uaxEW7A/G2LDyM7zoP3HludO30FN8H6x1WENOlwOYuVle+5IfoHwPvWS5u49 2PPXF0Ro9+fw0IVw3RHP9uJUXj4Wi9Aju1Gbsg2yJy+J1Rt603DPX8xYpsCL etuxLHE/zOIUoNLYkfvmDuKlkVFcmjAYazZrUmOSJ+9uMaBJ+GQ07iqgpOgz HH2ahK/1XcnH73IirmEJPFNn4+boHAZZGLNJ4yDMl8yD01sT+kWWcNa437jW fxzTThdBW+klGtbcEidnzEfw/k6MmUsOeDkBkrYTcMqYjW1lPYXpeV26djRm S3UXXo6XpfPCfnyxYDg+jSvl+f8c+MyxI4c8lbJofx3mOCYxt3U4s1+GsXFP DLbEaDMjRR4He0zDLQUrrtUA3/0+jNtXCpl+9RF+nDYUbTFzUD9rHWb13yzm PTLg5ZBCSPo+w4hLmjROy2D6j4OofWKCVk8zWt7YJmylWlm45gsuWKnSc54V Zz7oghHPSxh801KSNFdTdAj147Cvv5GwcgJ1oodSbmc3NtUO4jG3jlxdZcVC R1t4Xu1N8+u+7KFcRmXHQtbpqCHQ6DfqigPpVa3LrzmHsTJfHqbbb4myaD02 2Mow3jmQ279n8IpxP6a2STlAVpsHo6WdvDBdcMJ0cb/kGW6E+PNa3jdQmnXL IxSoktOOL2lefDTIm+lTJcw6PBjL9DQZknkdV3724H9Ov4S20lGs2VOJz0pF vF5bTNVPSoR0ZrLvJUn5VIMP9aIxcIYLp/ztx45zAnj1dDF0Y6qhrp3FPRdT sHVxB9xtUELtuuNCQh1uWenE1fr7sHNgJNv6ePI/482i6+UsdlpgzbMlG6B9 3FnkHkgVd7KtpF3mGxxefhIvzynRcosZD5sexR11E5p01adKxUNcj0njefWH 4lHTGOxzNcN0aQ676ehihoURvdq+oq16Iebe1eG2+Tdx/sYEfJ+gAdmjzVAd uQdmyorce3s85XXTKSJG8952Gebe6g/bdb1gJ6slwoqmYKGQPsd3U4majQam Pzfm4tf50NmYR7mCKTg/VIVmKoZU+wCOmGcszhw0p+yRF3CMy2J7XAlPPs8U hpfsWLPiHzLH3MaIiBxa9XURz/aU8fiuQBZVSzlxajDvr5kGs6ST2PVFmQ+N NHj77gDqtp1G53IlOkQP48IvkbA0K0DPrOvCuaccs11SufvfXdyom4zxBhZ8 HhJL+cOKTAocwOA2Ex7RqZdM+FuEKa9d+HTQKH6X6th5TRqjak5jrnUcz+6q RfmG32LUcH022HtQbmgfNil4ssRBhv9+h1B1lynXnpwLB/9cZizyp2ynpdgw MJkZurE8MGshzKpb4HBVgceWLRKBC36Iyk2PhN7K3YgNPgArs2wuOp1Dl+Hj aaxvhfWWg6F26hdutEm96l4hTJ+2iB5Lnot9Z4fRI2W0pOxlECV9+0j5QFYk lX3FoO6WdO48SRx2dMP+NR5Yby3NgF7PoDV8lYg0ckNtowUb50xDgeI/DFvu xoInQ3BxXxbtl0fT0nOemJeSSN14TXZu1haHBjnz94t3uDTnM54HrsXt4hXi voIRre47sPJFNr+fcGSIXxr/bnLkG600iOOvRMXCJLalpjLjkB2V4pbgTWYV DCx8mRZny2Or5uFnlj+b1tnzcGINpr5fi/+uxXKnbAaOlz6QXOr7FGHbdbg+ uwnf5JXw+noCX/gpodfPeEYPKOVfl71omp1DUQnu+hPCb84dqH++kKPjwmj1 2pQu9x3FxPLbGD3HkfIhCjTp1IZPw4dx1rdfMC6ejpUDrdnQZMGX83N4w8WQ M0MTWf6ujDXdPah7twxl14rYKem9OLNJD/vVn2C10R00L1ZjxyA3rl+ixhkJ GlxbYstnd9WZu+INLL48Qd+Jr8Wp2EpUfPbn6O9rUJTeBcjUorz9cbGiNoBr XxxAxbDVqM3bjzdrx9Ft5XhOhiM1ryyDTUU9kirkGGyixx9ZBmwv6svq2F/o cXUIzzcEssTLlaUjM5mqulxU3X6PKl/wotSrK6cO4fp1+8Sr/eUwVVuLMN1h MLcYS9Pe6uj7RoG/7r4Qs/OUeKlzJNUrR9B+/yrEBezF0qZVOGOVTb9kZTY+ DWfJp3Qqz/akTv5t0fI2hLGX01n3fAydvSGM4iS0KY6hWZENja8Vcubbi+Lg eRP+7P1JWORuE/tuKvDE/SC2rlWg430j2oV9QXLDN4lP3SXs7T9eImnxpcrM LAZrXkL35E68uCmDxtUfMP2am2j8pU+7wRp8POICDFP9Mfdou1THFZjU1JOt I6twvk2bm0/VINdCm7/0bsJk7gxEfj4Hw+fBrLtlx/PhN3FAMYtLy5xxzNmM o8uOoMitP/+ExfJ5gTMvHzojGe/oww2yUayUjITikXtwObEQGbV6PNZgyw67 S9hee17IBfkwt7gLv7Zew58sL/o3b8TzpcOppXoYJj6dUT7AmMW53cSvsUtQ 7K5PrQ8duNHZlCPLvbmhx1Sx7fUuid20x9CY8hxvuznTpXEMSjRN6JpyFmnv BmBwzWY8efYXreMe4/WOz+gzO5vdFgj2d/LgmWxbjFPsiKKs47DrZIqA5iyh f30ADTcrsHfdSayZMYYxD97COUqLquUjWVf/GnErR/NBgTJ7ntdmSsedyFtj zD5nMjE4fCcc/Q7jTl4hp0caslHWS7hWfsAYu4lYV2WAIzfOoL7sl1iXeAsL T91E9JdCtn88i9pRBvyVvQdXziRQT/u269agpSh3TqPJ5+70lcSLF+ui4ZEW yH6m6ig/K91jzWJG6nXgcrd8uj5/i4KvuezVXIG9t+KgukqWsc+6MKfQAe4/ xpDnfiH3jwqNi8ezxfwITHQG0tJAnzMvXBVz+ipj709jnjv/R5pzBghJHMqb P/pRpssYKvyN5QejSJpOvgEz/QH88zUD3/fNx4cCPXafrs+t30OxyzgT+dEN wvbyIhFVaMm53n2ZNkOdu0uX4UuAGm9r6oi1+3siO7AvV/sYcpeBKyf17cCd T3ZD3mU/7s8vkK6jSUQ7joBrbh8aaMvgq2u12HTovXh5YTCnfRvDjRM0GS0b y8UdFuG0aogwz9yHNPsPeBf5FS3uIcxuy+Svq2vg8SmcSV9SUaVuwA9rs7h6 rQXlEc4bv9w51DWD1YZzofbtFWbWaPJo0BwRHZ/Idd5ObGrJYGVVPu9PEWzQ cOXsPfJMbV6OY93zeOZAPVzupVIm7bRIM3Rm04PJKEokL9h1o/97ZTYYbMPD awGsnlsiejacgF+/+/BemckOxikYn1LMbKf/sC08gotGGOPg3e9Y2vElbu3a CNUNXfFXSZdn9gzmWcWj2Fq5DYWG2byoaMir3dXQTyuClfsyGDXDg7fmF2Gj ryLTLM2pcGw99AbchnKd1JtRKnoFWlD/qCnqDBy44F0vPmq0pNaNRqwb/Q5K 5ilcsMidxmYJ/K+2Eb0NVuFWiC2bB21BmJ4NR81/iFgYSCGxmBUxpbyru8PF 0V6NnaPqsev6TKxuy+Dpzz+g5h/JuKM2rGnI5oFzWrQU+uLirATWdJaFZ6UC X0h5m2tzWJewRpT6SdnC8Lr4sG0KFmX1p9+oVFZljkRs42FMmNyMqF1urD81 HwZWoxmupcGtf05Ioi+WsemsLPWuhvFrkwMi3pqxZ2gk+5oNxd2CUD7qVQlv mw78qSvHT4cs2avCnxdsF6FspQuj9miy0+6TeFxWj0WlK7AzOIfGS8xp9C0Y YloCNzpNYEy1lqvFtYtQv+XNGse5YufQbC6N02JeTCK17TJ4aeNoFnv6UL5E nma5z3DLsScCnApE6Z+3iFvxDSZdhoumQnNmP5HnAuVCnjCsgp5JGl/UJvLb plrstpPlV5N+3KBkR+X4YFYsbhdd+r/Aavd9+Ph2quR4kR73Sff46esSiiM/ oHG3Lxe31km6Hu6M4HfW7HagE63WO8J+eSPuNkVxwsHlrreDC6l4qTP3OtwR NbLVsE434uD0QpaaPsQOudVIls5qhU849gc7cF3WM/HzXhQjVkyQdBkayiN9 srBwk8BQLUtcuZPLQRvLheEEE6r868c1/8hN0i6/YMMABL8q4tj6xzh4ypyR 46PRI9SIhjnG/KTxAVZBnbmxJkQM9cphekA/Hi1QoccyfSZJZ80hsQmnM6zR 1WgJPnRMFv3rfPFH8RxCXDdis7sJR2moUCtxIyweWjE3wJuLXUbx8m0v13tG 0tnxz2KNdypKtafD7Wk3Hp3zANcHqXJhDTijui9L5yrxwrxr+D0oGogcx9ln m2F6TREXTMo4cJUBTSe0ikOlo/gycDMMxsdwkd8rHPu1XhQmvsc2VMPytYQq fqO4c1UX7tdQFOmWp9F84wMMlo5CQMdcum3oyYXuHyUysrnMPpzHzD9B7Br8 HN+Uh2NEjwLadbXBOTNzGrQMZf3yLM6JGMr9tWNE+or+NIv/hgYW0bZ1HFPS lmFN5GU0J5bAPCSUvtNk+TPtA9ZOXI4xTfpUbfdH5S5/NJccQM6FVujnd+V8 xUJuOulEXYfx3PYyAPEj5HEuLQM+rlosLfoqok1CMbPChHp+5pxn+Uvy7Vk9 etzKpt1oc1R4+bN/chAtE/eLEv9W4fl0G3r1bBGtKfvxX/AzdL7Sgs833sP5 oSLFxH/4MOQVjOItWXAhHjlzUnj34jmYlKfRZpA7+x6WZeb3O5g8IYCuRjEc d222pGyLHpedm4moQHdqzBwLyZdOnFCtT+/BlnwrbKizMYULTwxAZNFL7I42 54yTI1ie5siYz+b8fMNBBCUcxvEuN8TFt8GM1zSgzfQKGG95L6ztM7Gr+LHL eC1L6nxSY77fE2xyaRMLXIt5jR+FXr+7ki+jQkXdkUHc+HcRYrY8xo/lZbS8 aMaVZwJY6yfP3D+XkR4dxR6r5TjbBmzQnYNfF9NYMLYLryXY8c8JDVFxpDv2 eHdgtrsOVfZ/hUJzfz6/NpJR4U+Qo2pFubkXUaGyV8hoFHBaxXrx/G4vDgk6 i9iUzZh7xoCV+qmMUDkPreMLsL93LEfWduJMqa9VTWuXbAx/Jpo+pbJuRx8+ eNSdB3pcQ531UeHfWSLGvjstOtxVZd536ft1voJP1f7sfneTMFrlydQbXnww YQSWLfUTB6OLxBUZF95csFGoL58I04sJrC6z4Uz7bViQfUAMmDWM837lYqlB IGcXT4b5TH2+2BmOQUnWXFSigjKzCdxj1JXOemlC+5s/922cLbbpeDNkxmjm DHqP3Ds/UGIF+LQF8fsDRbxIKOSZsMt49GwMbhy8juAHu8WBrgFUGnQRk+fM Fv+k9743ajQHD29B410zun6fBjvlh8h6dUQSkODCwxESuoRsgcUuR7qesOJz WyBrQh+RGCThoCTp/UcdFnH97BkwtSvnhf2R9LO/JI4keBMrA3mr3Zhxh+Lp aRXBx+cGIEqB+Bo4kjmJoezynwLOrXwFm7Q/2Czl2sqH5rz1QYf1HbqjfsBl 9DunzyPR2WxZvh+1Vn35dlmiZMgxP5zSSuDla81Q35mM2vG9ODh0AE99Gc4X w0ZSZsEMUf3gC3ofLqWCRQ/J2GQHYVYp7YiLQ1mWXgGLEFks82iA2uEkHuzV Rxw9dRjaw8Nw8EI+O5UFUGt7DpvlCqi+0Jc3dd5hdrdGfDypwEO7dLmg73lM f/BIBI7ajif5p8A5z0Sy/nN0LJgNjzZfOpb5cdu69aJmRG+hX5eHOe4uiOio R/sw8KDje3wqHcHuhXsxdUYgq8Zck6i15LMhfRANwq7gbWUse/Ztw+GaaObm 5cBFyst9HuTC6/lnmDpns+ZRT677NIzuXX9i8pBZ0FH0oXdIKlcVvIb9Xjv6 emjzuEdXqA/PY2HkeTQunoWNGWbSTJLmetw9eKeYMbftoeTQnuVwkGZPt2+H Jf7ZqzDV3Ja/a79gQdNf/Jy1HBtfLsGsLvLc+q0HNUuVOeBQGLaeieTqX72o 2dlCLOzfg5dPT0Pq0hVI3XAOBsOs2fWE4DCnzuxWkU/Vx5NEWPcwlk8ZSJm/ tmx17IHT+mW89m0t5kd78uzZn6j5YM1Sbzs6Nj9C1XA5nEh/hjU73ohVs3/D SG4Peoydgy7LbbA/oQub14dQf2wOo0Yewn8T0/i5oz7Do/aKU0bFNFEJ4+SH njReHEjZE00YfHwFZmnUoP7GPoR13o2VtwM4dO9PyRK/BA7+q8eVU/vy8AFn 0WipwMtaTjwwcK3LxjWG1PtPl0pTNFm3bh+Oq9ZB58wQTD6VQNOmbLxNHo8O 6WuF8e+zWNlZA2JCKC9L/XH+/rniZHAuLc768dODSPHvqj5DTe2wPrcXI53U UZUTLincV8ZN563oMaUdqSfWY9vVFZJWmzSe25LL/TZ5TN8+BZNQzCE7/Rja bI6SEDUuizmF3gW3ML1oGHXHDmJEkgZ7Pi3AB41I+kTJY8uM5ZIVTOHe/CJc vtSPH59MR9rH4fRSvoS7mUmU7zoRJ86+gWHDYtcePQQVuyzAv4uhNCqZCFUr HVxYpsKoXa3Q+q6Pk6Uh/KL2Gc9uzMOqcXVYfboSemNfQ8ulK99s680GaiI8 R51Xfafhra5g+RwJ1n1O471WW87R/ybROJzL17uC2aNmDAPuSjADK5Go/0bU mt8RfktK0b7VhMfTDCh3VJcD3V2Y82EU5aafwIsP0dRt3YLNFWNxdq01L2Za Y/NjV3Y+qcsL4TfEw3WPRLSnMQ8V6UKnxZyj1wxn2CEj1g0P4sL9vdnf3YwG pV6cJDuY93urM13PmOu2gMYz3yB2xVr0k42j59jpWLA6HH/m6CO3oViaCz6M 854Enwmjebd7BB23L8GJNZ+QqFYt8b6ezG3Tf6BlTynFktGofj5EyB/+id53 VNl9vhLz3rlxRoYS7cI3Y9FcFf7rDdaaRPPs80YUTF6GKSv6sVu9Kn9US5jd aQLFfDkK98X4dS6J3TuqQGd4GAt2DOeltkgYOnZnzfIlomXRAsyZqYKV7q50 nR7E+91Wipa/EUxX9+TnID3+LD2FxfFRzDxmyDGxpxB+N5r/y6JvffZga5d1 4rbqPgR8zBFNUc6UfRrBLClHDEnfiaVpvXjifCr/He3KSQNT8HnfA3HP15KV CkuE2RcD1vTciS1v3Bn2Io6zyjciPW4ctaZ3QnCXoTjydhPcWvfiUuBY7pxr zwlnlqKvdyB9v1UhbvV0yF+cjvEb/sBSt5SlUZ3YS78eqvGJeCPtR20tj9DR P4N7RzyDzTF9+M5YiMnb2zDWV4YHvSPZq8Nj9PyjhU8Le7E6LZn9ZsyHzaoO 3DoghA5DjVnUQ49m48I5bq49gq578n3BR/RRcxI+hrHs0DVfLIhxxVXNMs7X 9YVrhxoE9bTA1O6V4gQVhYGzLcPytdg26jZ2LBzHE0tLmFQ+jKkzj4qzSfF0 flNEx2h5SanJdYmtuRvDT6ZzrftX3HC7LT48MGTExzL0/VHKV2OHotf4N5i5 /AIcgo8hYuljICSBWUZBXNn+EY8mjONUr1Yx/ZwFTT/a8WrqVei+O4uJX8Pp HVAvkV8YwIbYfHq4VWHFcjVO19XjnsQUVrQG89jAOIa7OPLo+kd4u6MGcwMv iZHX4/lgnSWvBvtTG4LHJ2kzdG0Rw+EvCf1pBoWwDA7vclzyYVomQ1SV2B7U GzXPQlgyukUcPz6UGi+Poc/BeNqk9Oc/x2j2Db4i+eIVS80JNmIYLotJCxtE ys4TKNY+grVjR1NRbwJbp7zA1wu9mfzRh6qR5rzXksqmx3LoO28aPN9fwvEe 9/Ht8myUyNwTB5pW409BHvvGj+dLeRl+qWvF29WnkLZAmpEqk6XXnkav2dvh NqMHxzkYc8m6xQhvHshXvv2JOZ24qG8hyyd4cPpHc5qU+HPrdzeOTusG5Qxv Dtfz58O471jVvZQxU6x42kqRskLaf13WYYShFqv6bYTr+l5Mbr6NO47B+Pz3 HEp883n0nBOd3dP5bXk07ykrsuPfs8i5rCwKbOvxW3kSrk105CznvrSpXYs5 ymrIl3rjqx79mTnYCvY/TGnidRM6vTvixLl4am224vaCOCrFLJdcbRjLouQR 3BTmwLrIEK7cdQ47hg7k/TG9JcN33sarz6V01/Sh54kqLNj0CUPuDWNWL0d6 /3yE/d4dubTalruC7JBVmSrVxGqcHzieMzt24mM1R645ms6Ne22oWW7J4uRP uL9RjvUvJwpf32hob1BBx80a7H1hAL+UaTKzW1++37QWQzTbEd5+E+2xqzB8 cHfeGbsCpWuV4fXeh/E+tuJSWRgm/5yDyOiL8IquQ/yfsbQ+ewMtg9T5scGM Ml6L8XeHI8v15fn4XUfqf8/hq6/b4Pb5AQq6hdK5wYePAsZyiEIJh48cxYjr LyH3Z8D/vmGMx6XbsS1vMQrvGrO5woC9H7gzwcyEm07cwDm/XnzSdQG8tjjw 5q6N+JMty/g1Lvx9Mw09WMK9E7dj77Wewu8EOa4uG775c7AjZCTtVbPQM1GT MiejeMTzG7Zbz8GIsqc47LsTJUs/4IZHMct2evNsmDeM76mwMEeB9TsK+DFL m9aeu9H5oR5dzb6iwcxaLNuvhnNeV7FbqrWhPzO4yzZL5Ckrcclq0t5tID6H dcDQlvWI29CZbi99cPWrP9XWhvLBIm3Yhqkx+2YWN2hXwPFzLHeG2dDbdyAU lRZi5YG+bFNJ4O0EezaM6c6vnQ348rMS+81Nw5D0ZNjbZOKX9X0oJN3F9Nx8 6qrOxw3ngXykHsr6RR50mxfJ7t7hPHb4ITZ56PONwjF86T6KLc4v8Eja0SPj PLFuWin/yx3MtDGqTPtaj0ZPd7onhGJogSnNvNUZt0baa/N0IGcdxfzi45iu 3JWDr6gjbp8BvYLiuSB4K+IGgJOz3uJ3VCzfGYyj8ntNPJg+CPN/DONV5+ei /4DRcLe2x2szeUw9P4i/k7SZUBjMVev7i1NRauw6JZPXordImvMgXv4J5PkU GS6w2oqFf1di5oMoOnlZs+bqRJSrNiPkqS8HBDny1fJAvC07gx3TnHjHWAfp tSn06KLNDw8/o/Ok83gv/U3sO1Dp42C+S85i7w2Cb3ebou7YAFj8UkFXaPHO 17/475kXb0cbsmDdNoy7eR3+U/M5vbcWO8Y2iv7dpmDoDnmO8RkvwsuceHu/ PWf8vovhhSuw8F4cD3awYOWnQB7R9mdu+nFEHMjg8nYZeOQb4tuW56KLVLOm s/qIN49rsHJQCVtO38KF0bdw46IRq++fEc21TyQdlSO4IaIWapKliNukw+13 9XktZxAtv29AtGUmd0dGMvnINbDdjYv2p0Cltw433Jbmzd8NkprxZ+BTe8d1 Uv/lCL/sLp53akTb9Yvo/jeaF023iid5/yHqdxK063uzZJSgeUMQ9lga8OzP k0hVN+N8N08aOJTgi2EqHf17s+3vZ0z/48aaU0HYvsEbSsoysOnwFXZnbMV6 GSuqexbhxccA9nsVDf9dCtBflMwtuwdzxfeRDNueJnoPGyICDLvjyr9jmFqg z7Ol9nywTJ8v0y4ia0cSB7WPwxHbvnw21R/Tbg+QOC4yo+L7ua6nd4/GwQND ifMObJ46nstf2mCKlFujDiRg6PwPOJQ0nH10L0JWf4owcUgRXbz2iivpEi40 6yYm/NPDRbOOvHyyPybN70ZXQ+lztCuIvN4tMPmagDMvLkp1acLc7CAxcHs+ BlxyZUyZES+fCuHgu0M5cl0X7O1kQIUjZXCrks5VlA5W7HVnUcF21B2+hXw1 N6w6e1zMOftJMnLvV8z/7sroyTdRuM8WH7zG842rP9/3S2HHkbuw6OYDiUVA JIc4RXGy2ijxc/wmWG5bIHQbmyGzI4FyycHcbKon/v4spOjqgZGXBnDRirFU +6JC3xPvJF3PjeMAdzMEd7iJcX0uYej6HXjxm7DxNMaG5725/9YQHB+oLsye TkHEhls4LrzE6aoMHjuShUhjJ6rv2yLWv4vhWqdRVHAfzEVeHeg7a7eYnuzP 8PhU9ksezIbhDpKX35R52TKfbeuyaFH0F4E3nLF1UgpSEzqJa5EHJWu2vsfk P0r4r9Ua3r0u4bF2CPd5jqCDvIQTXDpwRnwONR8/gszqQjqm9qOTZTJMOJxV F+KgHnpLLFoSgYKvmzG/XIMj5/yEWvpH2M+PofHAIJovuwUv/BTH/y7FVdtQ juv5Cc+VByKx2ouJBgrcIGMm5NvvY/fBTtw07Akq26xodmwu9I658t/gSZLU a7exuGKDCHy7EH7Wqpy5MJqaZ3syVMaFWjd70vqOG1+/+oejy6tQ3Xkx2OwC 52Q/pqyM4uyjUk7a7s07L82F81MXyg6IZvMgT4b+N4DTnb2Z2hhJnY/ZlGRt RFHtAKwumAc/2dvop9WIJwsiuDBrE5RuXRf1Hbrzpstr9PO1YdB1KetVWfLr 2MGwbA1glm9HsUltruR0Vj6PBMjh48u/uO0zH6szbopBfazE6E7rUZygIuWV F/CcOooaG6aLnn56PKVeKR5E7MToea3QjVoFp/Q4ztVcINKWLsTSpV6sfxvC KLtIaB48gM3q1kj/0AdyPvrcn6go7Kwk7NNUjr7HTHBqYj6HHNTl0/ZIuqln C2Vz0uI/VSFvEkVjz4noVRVLndSluOS+GauulqF1gSJNvh5Ae8fLiNjyAz+0 +7M5sJipCYYsPDleyG924PX9nfn+piqLMvPYbecxrHTtwGc9fFi8Vll09fuA XKc4bqssc90XdBLfJjng7PmudDzQDQ4dfZje7SMemppidtdTME96gmEvcnll aBd6dM1l54BeDD/zCm3DTImyQN7Yk8SPyhtRviybu6veIPO6JXv9XYZbs9Xp UvVIjAgPY/DcVmTYL8WSEDvKJK8R3nrXoTrUkTseO7DklCLbNDZhdYwuJ/3+ 33nGIKbxOdKmetApqQ08XsBmq78YZN9HuHVy4RejsbgbmMc7r/1YaDYR87Li KBRaJcFPcuiTlIKJy+slAZJ7SP27CV2b7mO+eWcYbQvi3xhrHp4q9RnNJ+K/ ITHs9qEXFy+w5RTnlWjNyKBftCOtRi1AU2UYFRoWYXN1BWYFGzBnhKbEZ6UN f8dfQUDAPxE2MJ6hMT/wUlkZ6rVjEbkzTYQvSMWcuhzeeijDO/EerHugyoSH Q3jvWCO877ZAP/GoOPLvm7Cp1oVm7TMxO/2q8C+OgdkVOx7duR69GyWstJsm bj3RZrrcYO67Esi52iG4WFUlkj/VQUj9t8vTUK5fnMsKu3gu+z6QYy2Gsnbm PtedmRo8Gt4gVCZeRtkLFeaGjGBubSYX29+W6IeH8uTqgdwbUS7Mi+N54f5p BCxyw6/QpbDZ3oJJreeR8KkX8/f1YYVSPXpn29LsyQfYzHgjfD5dx4oBv/Gf xnGxV9tNYqtcjnP7nmHJ0GfQGeTAD9scmb/1PzhcU6N7+wqJyjoP3tDww+pq B675osp9XXfgbYkXbob6MsvtNabu12FIvS/XHTTjPbUVkmFFtvh8Mx3LGnrz cLYnpzYP40P3jVDVHM5/2feR8Hwt/nq4IaY4muUTG6UZMhWPh6bSzcOTZo+3 Y/LjoVRZYsB71o6Imr0ZSVbauHplJDv07cTK7ASaKvhz83ED+Nd9wcb6RBH7 Mp9VzRPE5F8zhMKrOFq/y2VmnS0/Lrbny5hbotm9FZ2ORtK0x3hxsP0QLLKs oDL5Nury9+GD7Riaa25CZW02e86Poqb/QI5p6MbtShK22ftxtl8eWxsD2fVy veTbgZl44rkMWxf34+V/WlSfOAuzjOJoPj6CqqWQ9pFujD41HrMPW9A9eCx5 7gKeBibT4GA+LZxWwOeSNkPC7Xn/Qyy7WEm5bHMO5e9Mh7LxWnHssgFX/RfL UT39Mf6CE9e+dqfxhDYcM94g/Kp7YnCSA6dszuUY1UaotfzBbssZwmnUbxF7 vV4UXCqA1hpnbphty8D04Xzp6s38jtG8uzeLchs1kKE2B57XSPWRigxy78mo zSNZ30OdjUU9WDdQmSWPXZmj7cWp9V/xZ+AG+EaGiZBDg3n/pBlVew3gupAa mPExEk+PQ5m0s3zoM4qnVkdQRXEgW4foYdeOTUJ/5Uos/ZDDBQZfMdNMhR9U Q+iScwYWB+pw7EUtZvy8D2/ZWA7uZs3Ny22h71+DZ7KX4DWnXvxercWJ88tw K+6zOLEpiO75k5HbX54W0p61+UAvnrxYI0rGZTF+dEfoJe7D85+K/PjTSzLh nwYiFj1B/z72fNf9KGQKPcSvhs2SsOIA2nttRfWYrbhqocMi2QE8eU4G1Uq6 fGJ1WHyfksxm90zmSq5iquMs3HyiRct8DcmRm/dx4JUBF04P4X08x7aGGHZ4 lsnAzo6s+hPFXR3vQ03PlOmjjOj8N1KiHZ2DlMOaDN20QlxZcEq8OdcNUSc9 uFuqY5OFfyE315+vJ9YiXM6QT2Rz2D8hiW9edOOy8hNw0OuO8gVVmLV+g+jM cG7oOJYRASEMc5wmpr0rYWJ5R568ksUFx71pkP8ZVmnrcWfCRSipmPJ25FMx bNll/E035/DeR8T7fyMhkzYTmc0OfD1nMby7vpDUbR/M3vJX8ebzJfx9KsO2 87MQ6B3NR9K8rNnvRbWuctz3dhCf/VmHscvHssM7DR6ZqcqTP0bxzD8H0XFV Lx619qF4PkfyqmUgTaZF0H2vPc/e34VVOwzgozoFMW8bJNOen4biYw2Wlhby husGcT/EjyvaOuD8nJsYUxHK+b1sWOOSQ/XqPFG39iFKNk2GvfQag4pEvtG+ Ilra0sTvfjIM1h7GlU570GXvVtTsXYWpP/25e6vgwlR1jjt1CsGJCXQIWYdN LVcktZLz+OGlxscn7yA5/B28u5AV0w4h9FMZIw0ui3INQ2zy6cIPK5bAt1zA c0g3Nhjoo3ZsNqO7/0CfmqmoVNmCpkQXMUR+JM97OuNjbRfx5ugvqM34Ig7J uKL6/EzJ7sp5qLazwKULNtC6eQf/+7890L07y+MLsTeiDTJLBmLXATeMWyDH TJMSlkwezT7PS+ESbUk+iqJICMKoLTNRWD1b+JyO4uGaa/jaZoQRSX3YOvm4 iDqjzA/5ndisqI6DLzKY9n0hhriawT2oO9O3m+Ov80gaiBCmXr6CNH0N7Lv2 Az29ZkpCq6T+52dNV+lMuv0awoa0u8ivm4GWTbrcKEfMMo/mpNxTcFw9FLu3 69F94EfsPdid4eWWXL+jjAEju/P9jPEYwWOS6W+7M9RPn223A6F7ZDxf9p0n +Zr0yrXw8iN83xnJcS1Xsdq7DRPrddjh00jeaM5EVEg4NX458kBFBhfW57N9 +3hqO74W37V9eFLnJ0IzYtnD6hP2np6MrCQX1sc788PgA2h8sgwFB6tFjnIH JvxK4Nbf97H/+ig6rFPEaymDZf79gThbfXaoDECRTZ4IUVTitgEHEasXzNJl e/BOSRsq2kp8+V8/djvwQhSYduL1m+k01l0sCs6FSKxeKXBj80kcTjoFs9K9 KJD625b9EpY0JOCT7Ek02CYxweIgFJ5E8cWFE0BDPvu0tEOpNp+9djSKMV9c +W1HG9ZkPsD5g8vRb8hcsc4pnXL3Vku6OQ+Cy7cRfJVZg9cX94ss4zM4V92J M61qoNj7GyzyF2NpRw/hHhnAKa1G7Cf1dKfrteJQ5guMbHLhxbspWPKqhJXz OnPymU6cuE8dsVOWYM7lEMRoB3P1u43ofEeTrw6DtvlvxLIP0s7T6bK4+NOX fhFKjL5ezP8SOzMhqz8XD4zh1ppSDj2TySD5j7hT9QVjbbei4OIOXJNfivyN PyHvLifWZv5D0wd5Lp52UwS2DuHZizOgdSWM3/yyMSLOkqdvdUFuije6dhvH /VPtOfHRKhyRlXLCixS2LUmQtHotxsX8+WgaVSUm1EVJxhtqMAn38XrhCVG2 6g9crjxD24AG/M6fLXRV3+Fjl8789iccE0N6cWTbFKzvGy0p89qJLXs88Owy OLzKBOdnTIeG7izMywvnfff1+L5wLBHTD1nzh9NdR5ev7XJZ9CmcXgVv8D1a iR6+gazLd0VNfFcR3ZKB8u3ZPOJoxs57U+jpngHX/52J1FTne51QrD57HQMm 2Qmz9jg+yFbhizobbnvvzY17dmHj1760PnlOpDRMcM2UN0Z2+xiXgQOT+XOx PgeZjsTWAXnUf67GyUeL+eNZNhfMega/498QL0Lp7PoO/tWHIT/PioM8bHi7 8hN+b+/GrnelXPDZF+L8RoHTI1hm1YZ+B39jXuopofXTlPZ6Fdi5tRsPGeaL Z+ad+HjZJui/2oLOnX14NHYuFB4cx7PzOzHzP1NGTRuDiCfRNHd9jJnlmZx4 UJsj5s9FW70XZfIM8bTDbER7OjLrKnne0AnVCcl8M7EHQpa4cO+P7Tg0phUz 7TwZ4BvE7sbBWJYWz+N+mzF5y2vMUuvEmmdZVNiRD9kuM8V+BTlWGGmzbwm5 2i+Zrh2kL2dSCg+M7Uvd12N44N8b7E3Zjb2m1nhvF8OTB1zYZXIZLTochn9C Gg/X92HUFFfKNE7FljI3lvz6hOvjB/NxYzE2xJwQpbvKRbc3WlBpfiXuzx6F 4EB1fh3tgJ5mQ2H02hI+ubHcdNKLCo5lrD3dk5fCHmJ/x1mw+Z4pfO63IfLI TeE3YKtYs3EifoWEsubpa8nkhTXikXTvJXs2YN6qG2Ls50W4ZTeKmy3axA3b OLb8S2HUyFuYrpzNz/ZK4v35PAa8WYl5Dc2iqCiZn77FMDpBHYfOutBrpTU1 KsCZBy3xe4sTDQpNqViyTzQp6FJnayRsjnRkr2Yf1nXuiXl7BlI7JJ1XhnzC zUlGkM205vsdP9Be24Vr5A0hpBzvtGIo+/v5QDJyBGsf2vGOtC/KTP0ibtv3 4/lHJgz7msH0IjdeSfoEuYkBrNr4QgycWMzV6svEljfdRPS/GPq5dYJMyi1Y dcrkvdIyFrYU890twY8VR/DYJxPhKsfEv0lLJLO2DuTAaRbsfPQjkpfJsGzq HfGrql3iEybNOGcX3k6/J97YnsCR8ebCavc6yEOHSwNXusY99KJZZSp/RM7A UedMen2ZQBWFUvTvLxEx669DbVcdcjr/ElY56/H6qRpqFGMQeeKDSFIdgi9z 50lmbs+narQWTlZ9x5DQJaLidRjviAvC+X0H9OmowTFPDKm6zphne8QzOuKF q3eoNcaGk/sd8zm85SlmBYVQbm4Eg2UnsMnUgzGPNrvGrlyIm6e3YW1mCGse +3DqtCGUmybt8M+miuH3XgnV+THUnb4E5fl30XpzNeT7PUWc4lYUTdKRsqGE zdM1kZAbSGd7OT5u8WWOtRf2qWriYmovplrLcMNtD27s/wvVIZE8U13C/vX7 cHbzYB5+NAEzxD4smnJL/AqdIWnftgqzAp045b0L4i+Yc9TrKchsiWG5pRJt bfeJSHlTPrdTZG2ZNmF7DN0iB/FUWRlk82OZVzsJNQ9+oKaLJrPnJVJscuep LbMwx30XfKKk7Ld/G64MCKW7QR4HdirGrAAjOlUGwx8nhIPKXLgtqMSg7mYU hRqsfxWGEV5y1FOtEQ/6/ILNoJeYmNdZrP65Ge2FPcXwwbNxsKILnhVuwoC6 KZiSrYSUdBeGSA5KOXc6XvsdQthQBfY0d8NY/wwuvWZJhcoCoeh8VazWMeX+ nqZoWT2a268NYe8FezG14wkEZ6bwzc0SLjHR4uj3yeR0Mj5BsN1uKo5U5qMp 8AdOzPLh45UqsAxRoc6cJnRX0Wfd7Ub81smRcv4RmC/xZpfTyzFrljM/dezJ 9NB6LF7dCInOSB7Y64XcKbtxsGCWUD9ayL9Tk6mlkIHmYn3qBSTTedJULBo/ nt82n0Bix848cKQ3Zld9xrfIMIRfX4TieisEN2gxp30HzF1eYNe/q5KuWQkc 0LcdPSs6w159tLQ3PhCSnU3CXWG9uO4o7W/nVouLNfdwoqQTQ89MwiB7H45o jeC7xnF8daNYnO/qyvz5f3DuqyZ9M7rTdps7/skewbe/4zkq8QH6WNzGDaWI //+mzsx9tViSrkqh/wgXnkiZ07YCc055s+G6F2/n2tFsdhpnBqljnNTjYmRG 4HDRPdQHB/G240zkRS/CMX9zVMUuxt74QTSxNMYgm83iR34mx6w1475L9lT6 MJrDX79FhN85IV+tzNmyUQyS9RCOLhMxMdMbp3d35rgNTnx4aiwvv8zAl7cv 0dpth7CiA9us9mDbfg/Jsy0T2LbChJfaL6PY2IVDls8EpUl94JUmrS9Y8MeB YNoaTsWe70l4aPYEN6mJnqruvD3kOCYt2iEGPN+A+qhiPvGbgCdGSWDiKtHn bx5MZDaI8AIj8TVEl6Vd7fjw9Ry0plzG0p4fkCFlj4T3+jy4uABG0h7YZ68b mq82YpkkEhfG/sbCX8VcdyeIC6K3YjgGsNXRkX2Vq7CkwIRPV/3CWClzjryT yGHS9eidXIQDyedxf+YkPFkxCA1ZVty+sYRTKufg+A0PWrRrUK7yBmatHYF3 U9QwbLwTfJf048X8OMQ1bkR4dhwV49aLgKXhqFVtxolJ6zDQcw+G5hyD/ela /H5uwUW2K+BQvBtZh1aJgtcDsedxEPqedOTMDSFsWPQMZwPnYNfUn2g5mcx7 Us+uDNmI5U/DqPA0mI1TP2GGXQYHGThxWLENFqp9he7O/rST3Y5dv2IkTa7T MD7LlTeqBnKJxT2kmJwRC+Mnw63XeIY03oKq0TpUX9DgsezraGy7KIpkD4uf jx6iQ9x2NK2qxZNaS1bPLuANX3/qTnHk9vIAHrRM5HKVd5iTHc2K2lF0klXm oa33MCbTgM9ttLn610a8iO3HiuF5tHI0wJtN2fTdPpp7RurhVmASxLseHHZe lcnSvqogboqkz+481NAfm55342oDWWZdK6ReYyXGerixXxZ5VZrLOxWUuF9p sei5KJn5JgHMXtGffbUaMWnaNyQaZkPvQRBSRq+CJKkXNwd7i9R1uux/MRlD 9rXD4+B8LKmbjSt7nWH/ZQifNU1H69QJLH8Zy/K0GF6N7M+xp/qI4DuxSOjn xzv/ubDbsv/w4fYj/Ip5Ke6uymZ99iYh154K34Nq9FzWmWtDNHEl04jLLzuw 6bo7fozNZ4/Bdly2qh3+9Z6o6+NF0+BM1GkV8JZfCNpT0mmkPFMskddE5ywP NpxdiSv9lVhl+0h09SrlY/kX2NTHid3tmsXV06uF46xmSf3I/5D5JZtLgr3Z qesz5G0hhzz8g+9/VmJwczzuexui4bksbP97j8cDkvg9dQYe/+jNE37mPKN1 A8aGS1BVUEaZWEv6vxvLmQtcKZldIZbv0mTljRzuMcrhkPcPcXu+MgftvCyG bH6Mi31keLqyiBsTw3hJqkErOwnvj1PkjKBMbutpSovw1+L3vP/j6Lz/qf7/ N055I2Rkk5CMCpHNeV4XGZmFIrOykl1IySrtvUtLpTQ0NbS3Nk3trdIuaWt9 z+f7D7xu57wej8d13e+/nPMN92WUaXz4vkh1MUTPaR70/H0MXyTK/GiXTceZ F7GtzRF5V/04Of23WBCbx6qFAaCiNyue2PDX51/Y0PDFg7f2Y5f8ME7btRH/ +a/H+/0/0Gy8HD+eyVApy5Z+r6ZB4mrA3hbKPHpgI5prH4oOAROxKKmEHd7t xojsPP5yny8KJ+mwq9E9UMoZ89fdxNhJLkxSl6W7xiLIHtRF2lhvWhUn0c99 LL9IYjDLfCwPqXZgdJE7TmzRZu20XzDrbMvPCgHsrtQB89LluFHRnb3fTMTc b8dQ9iSLs/fNwcqEcZzVEMVrGZWo+fUJpjYloueUbN5tSuSEW/8xs9IZoy2M uP3OZ6g9vCGuzo7lqh8aDLmrx5yveyTHlZyEv20yj/ib4+zXcqwoG842Hx+i jzEdgsdC97ceF7qaUn9DHA9m9qa53EecXqSBuqUyzHlyEdMnOdFBBFGjoyfV r3Tl5MBong35AaPaHFrFHJRUvkvg1n8t4mNbT/F3cQkLkmdLTAMfQSVyPB96 T0ZNYBW2e//wuORsJ/IX6/PC1NFYm6vCHwYGEMfMWNA8iOE7szg5Jp/PO6pR O3EcOkk6MDRViU8edeaup0N563Uhz1bMw+THrvzyz5ve2nFUv27BnfWF+HO5 Ff7XnXHVNZy1GaFcsLQn18wPpkVPS6plLxb5XZpE3kkv5EQNxcV3epxUIXVT 15NY9m0ZamvL0Chbi1WXS9jn7z9pN61AUPwaLPZ1wZibbuySWY5/fdyQLe2W tPd/oK/qxgFpR6BX3wr9O4Es2HVcbNC2o0YHwUMBXZlU6Mi1d5Zj2ajuTG2I p6+99MYnO7C37UTUXndh7rw2/E76jtCmq6j9bc0JaoXs3k0wsaMWfLxUuKlw EFyjFDH36V/k3EyhCA9C8NTXImppFjcETIepsT2fa1sz6PJ1EWzmh3NWP8XS oAxGr1PnfzWK3NpszLMLfNE7wxdXL4ax89aJkBRcQmRQu5i0O5jG71zQ8c0+ zPbpwNfl3TD8Yl++O6fKjraDRfWHTtx3I5I96o1ZFltA9WO38XluMRdFDuLB lxNw/GQpUxY3IflVLOfds0H4bkfhHWnJJ9OU0XfJS6jqurPH6qEifWA/Xnhv 6n4Ut7F53wNJ5ZMeHBLjyjH742DkU4KBbu+htGw97PeMkKg2rYCyylroMJav u5oyyEILyV7GdO9cj/YWBQYeqRGND6zE29mNCC9Wgf7iKCjds+Xo/gP5olmd x3K/o7uZLV5kzEDL2yIenGAmis+V8WuCHWoSDWB/2BAh0qxMto6hW98NaOll yyl1LnyaKEd3n0fQ6l4p7uT7Uu/DRRzPOI0ezxfj3sNQliX70rz4vOTz52RW 3OzHo21LoSTN1psv7qIa7jx5yI7JPaL42ywdo1KKuPC0Jjv8uY5I7QWIQkfq LEzmqFZS3/gJNhUXsVy7AmcfuHOyYgGOftWEldp0OPSU45zSV0LZeDglEg+e OBfFN/ZWfGJJKif60+hDCUc5WPLhYz1++jtdNF7Ro95fRXKOOusH2+LHDXc2 LgEjdcwk/bUHc0T1KMyNeQjvSXkMOmrHP+0STg91Zae26yJkdzo06y+JY/9F s/B9KvOc1MVIvybJHd1ubJ+4SeiU5NMw/6ro9yee7zsoSg4rSDms3y+UnIvj 42VJPLkhVPwx1OTIfxOxZ4UiUsx9OL75AjbExfKDjCYtNAzhpNGT4/pn8YNZ NufqVktQaMJKh0cYsOU3nkzZh/KfU5HcQxOV5yxY0PBL1P0YQY1WSxpce4as PStxqTWMfQ8qU3/2ZKGnmMCKE460nm3GwSdLxetPcZLB0l1PH+TPtWZqjDkL zvdZjna1MVzwpwBnK7JxSeelmH6xHdonAjj1oRV9upWLu+vzsEdlBEMas9jx zjgu/tyZOekulB8/DQ1zinAxKwEBtcuwFN0QGGgD6y1u+PHbhbvepNH1jQXm vIjh4clfJaVd7qLi+lWhNzIFLcv+48GPQ1E+cAu0tjbA74clj2eWsfrgfZQP y+KjRnXevHAGxzxlUG7lSresfqxQuot/K69hhkEitzjI0WOlAvNtv2L/WXV2 Xd6Orrt1OH/oWAZmVqFHVghPps5H4OtfosopiNs3/8Q4Q3tEj9+BzUo5bN04 F91K9OC5YJLodfstniqO4PIbehiUoMNBoZZ8Hm1A61Qv3An+jhcJ7twxII27 2yo9LpiXsufpSWJw1yJ+fxdM+TcpLFuxRZj30eHdkJ94JVmAlTcGMa4xlO2+ j6GvUCP6XauXZD1S4WtvW1rV96LXoyBeneUoukV0QqdeBnzi3CKCd/lS1krq Sn5NsDpwGInJrrR71o2rdApxOaojn4zvidgvGSwyqMMM1570fDQbv0pkOHno RSwMsmfYscEcFTaMbzqoccL9P+LI35eomfUPa55os9LLjZVHu7FXdCjdlOK5 qsSDP6vGiyGureJLmg1ztzigYH1Xmqi+ExNTtMSpaGWMb4jjN7dYuuz8j50L Q/DwfRaV3s/EwJp1+DSuCiu2BUrnYcbZre50dPqPfx7GsmmQBbUNu/F98xNR tLcP/d4cQsiweXjmlsRPwT35W/EYXJ2NOdzgjPDYkoQAnRasuCDPxboZ8E5y 59Wl3ihKKOTnJ49F2j1XnjuZzf46mbB9m0nnbX6cOe4eZrmrc8gEG1qHfxGp 2oFUPVOBtEojxHVL5Kqd5pw3ypT5qV5cWhhM5fAyWhoa8cvRYTx9YAJUbHrw Yq/OjOntQ9kwJz47OwaTE634OD6XxqlnUXPzPLZY1mD39NP4+1sbM5Utobmk HZ4iggMjEtlttSyXx6dg5iMTHNfJpuapPJbE2tL4QDOslldj65A1+JiqguXB reJoyTtwkSZtzeVZljqCM6zLOGd1EFT7RiCttxHz5pUj0PAPziuuRPffSnhn ZcLyXAsRFOXF6hG70NfIBNtPeHCnyxhuLtuP2EIzTqs6AtfWt1gk58SkB8Y0 X5pLeVUP7J+ZKF7cduDD+c7scL+3mHF4CLvklqBzWgwOKN5D3YSpuFrXKOov T0f/BxNR9FCWcYYaOL5Nl1rKtUI70plfK3p4vO88T/SZsxqVxddwJTyWBY0t GFSTQOvkWiR98eZle0eaddFlg7fgDKFFDRsr2HUvpsE2Ked/s6Zy5lKEvjgr ZqV1YsDHCCR/i4FBLyNO7Z7Mf99TOP+ODg//Pi3urj2Mb30niKjg0xKlc50Z Kf8KC1Ti2PpgI477BnJd33WSqzOK2UHDnkffjOY+89+4u6EZxRb5tPdW5rAB c/Dgal++kLqVwWNfPr7Wld1tVovXT67BYvRDNNt/ht1sA55apA8DKQfvLKjA rJIYegz7i2jnteJpxgCebTcV2zb64emQ+fguF81jgx9jkmEiV2y5gGgp1xnU XIK6qT8/utXiWGYxo/3BDZ286dc8nOlvPag4UwXliR7i9ygvmlTJ0boqCn1U pXs4icJGynh6137h8i3BuFu2tM5w5b9xf7G//i++D1mADqlZVEltwNkOUbwV HsOPFRa0qX3i8XpiIDf3HsjBORtgMyGUM1cO4O3/bLlrfl9cjDyIRU+ficAo ZU7bocx9BkH4WBzLmm2+VLsnS5v5U4WnvQWbbbaIce/KMUfOntMu6WDP1WsS zXlvYSXNiXULu+OiTjIbn/jT9b4RH4z4I54sGMjDWmWcFqGNC53HckFiNDU1 dqG8qwwr/c2ZOz8Bczxf4vBETc71WYchu01YXdmH+9uXYMb8Czic24bU8lGc HLDVo0j+OMwd6hBSUIseHlpYoTWGKaVt6Go4WYzL8aWRailVD91CvI8Wk4/m cHjKUEZsUOa5X63o1NtfUnj7AzKnnkf88EB6H9yBloIMfl5YjrVhj+EwRh5h qX24tKyIvU1SGdevJ2umLoLhndFMV+nHSd+cObpzP66c5I4xhoKn16nicL97 +Dkynlf7EI2HYrlk6A3IugxjfXl3fnUo5J7GnqxOjuLUYGd4eg3jtXgf/Ndv DEbXbcKMpnsItvDgmMQnuLhdi/lqF3HXaJ9Ea2BHTrfai5yiabj/ZzC/Z/3H LRNOi+nXZXlFEkR9R2/KVLZJkiYNwr2nDZhZ1IWdGr0544IXPUKLiV8/cXGn Pk8mTMSjK+bMXNYXsV0sWfO/35gz+QAF1Usor9JnaexYqg88heH7nVkb4c9h n/xoaG/G4HYNLt74TlIe7MyTge3ig3Egy85oMcn6J6Ke3IFLj2tixy5Xyuho 88ytrtx/yQe+CX+gtnW7ONAjmU3HbPkaNTAJWo3UFxNwzc6CY1Lr4XP+KHKY BKupBcyrPobg5sNixBUrvrYewftH4zjFeJpQK5cRBnM2i39eUXC6tRiflmQy LDOBV7qqw1bBgzem9+GPA/5M6irt1x9y3HNtNJf/6c3aVTdw2XMOsOezmCh7 AV+GnBfWxb9E3Ibb6LjDkcfHz8B98148ZtdPyrTJmFc3nvUu7yQub3owztYd y9RduXdwNG8lKXOm4UimSoby+b9kvrF9KAbvLmRT3yCOmTqWKT/9OL/fKAY+ /4Qm02LKpJaI/Tdj6LovnWfX3IXR2JlSJ+vH1Oh0tkcshFr4b+j+r2dHL8C/ Rb9wycGRTb2le7CwJ8KNzmBmqB89FoZToYsSc1NsmNO4CR5zKHo+LEeChhLS n8fTJcSQuyud0GPeTmzTkuW5Q78w9M9A1it15jNjOTpK96b0YijN0SYiZh8S yz58x8h0O6R9KWWc5i58GBPKMRfceP0TuSM7jvgdz6m1I4TWioN4V/if2KH1 El5efWngO4JRe92YHziIt75H0Wmc9PtpDWW3Fnkay63Dihfn8O6kOyfd3IbK 60GsqrZnaoKBZG1/Lb4d6YQ+6U3wWiQrpvlEc/MSX0Q0ThfnfPw5+tZK0V2K w2NsxjJJ6qclmwKYbNWM2DYP2I7UZVSAG0eMS+HQA41oFDIs694I7fcHYfWf BaeOGMfzS/LEdNer+Gv62aPD0aGo/zMJH/rNwLmjqdxyoha3Fwxm0O7+DFxo xmWuh3D/QR61VbNoaBvEA4NC+FonV8QUR1I/SpXf7NWp67gTuaWdGPgyhjUW uVRRyINz1S1oJKtyxqsXeKs7jip9asWrbtY0GxfJdMlNVE2T50iTQUxPtOSk AY6S2movqsUM4dXWB6JKLp7aHb15XEPqAEUBPFC5F3K+X/C9tx9H3f6K/JRx PLZiP+I+e/FsjgwlybYIyYrgz5AG8V6vG6XtKnobm3JPqy7lxj0Wm+0DJeu9 9bnycjFj+n8TZUuGsbpTJn1eWbBmUzDvPjHn2hPmbO43H9tmx+N5SytqG3T4 POMvDr7Ih6Q8F01WvbGzQZ/qHc3ZT2USbFJcGDpXhp4ZZ1BvtgE+2kG0nN2H h545sv+YKMlAaIutq94Jy/g2VE+S5aKpVVD/oYsX+rsxZeBkbPxwAiYOHemi sw51T7LZfMeY10LuQS27A3c/TGBd1wMwWDFNTK9YDM9rsvyx6BwuuY+Axcdt 6PizD8cf6Mfzl1R5Q/sQnAPNWRvpxME1ryW7jbsxtPNcLMqyo8LsJ+4nnhzF o9/G/OC5Vlwo0+RH1x7cpXRJMqnPBJR0Suewx9rUNTiD7K3e9Do2nlcHHhQO NQ2SGVMWQC9fn25+IbwScRFTVHO5wL0z9vbyYbvsG3ioXMeEPYWM3JMgopyM 2c++EdOCrdhHyYq3/Er5zdyO+2ZuxlvfQLF0WrEoPyPBuMFr8HLRVyy7NxGT 5Adx+XBj3o4eyYGqB0XQTld+6jqQag9mIN3ckZ7Gmtyf7c6uV4ZxZdpo2gVe h7vSX8R42jMtOhp//q3Ff3M0GRbyC2a1umLjWkuGbJTnlUM/kfLQjuN/q8Lj XmduWd6fX9u7wDVMQi7WkPLYUB66r0HfvinCV2+Ee8OKfN5YM5Kqd+slrUW+ iM/pwhsWlVCeqyvtuwCoSnvd3u4qtv4pptv9IGos1eC2Jjtq+a3CPLNALr1r waKJ3vw4JIiTFFNgPtsIj4qXiKO22nQu68o567QkfQcLGN1IpcLaOpTszeHv W/fFbmmup4/K4OWiHlSMN+XSrnki9X40/deksi6vA/rP+YT4I3Zc+lWJi3Z1 YbRbJD1th2DRQDCr6gkcl6nStagvDRM6SqKT12Nr30TmFFzDhk1hfBe/ALUf Elj7cwiV4wOh2hrAbf/UEPn8MqrbjVi5OY87Z0n4W9pfisfb0bnwrDDvUI6g 0dNh2mrKvhd68fcNM/4zOw6VF5346LEs7yoel9yZaiLu9zNg3mU/jmjtw+23 duJQ0xeh8U+L5QN68F3YVXyYOZAh/t3o7Vsgfu3Vp+8UWSgN0PCI8rMgXPKp 8u2PJOZQEqdvseWjewP4KDafdy/VIyszANHhVpzy1Jclb9QZdNOP/+rScCSp BWa7/ITDt7UiZssWnO4ggzqDzRgWX4bB/p1poLtT7N8yQdxO1+fuRmM22oYz dMhkzOw5lg+di2jnbcNFzZaQ/edLq3wDIZF3wlafMhpM2yZ+XtQWU5QrPPRv rUD4Lg9MT+zO6q3RnK5ZzD6B30Wkkg49/16RyLw1gs8Sf3F85yC2xmcwfthc 1FjIslylBdenKtFRyvif7r7CxN+Bov2RJoeZLELPin+Ydk0GckOa4a5tKtlx YjyPdZZjk5iFmweNmD1ZiVYdBvLixAdiWn8nWt/9J9yeWdNpxWwMumPIEw05 GDQymtXx5MkMVR5WO4zvIXZ8MCOVjb9/Y7XhAgy4l4oLD1eJr5ve4tG278K5 LIGjUrtRUe8ySur6sn71Y3QP2AfnHdUibmkPluu+EHG3vgitrXuwuUtPGB3d L652dmZw9SOYzO6Al1dK+WqlAXPl70Nhag/Ov+nF5Vd1+X6NHm929OWH5njW nlTllUEC94fGi5mewXw6YzoerhhLU60wTrg1iHN9XdjthwEGDxlN2zoXjLnS LpmqFMLcSDkYT/glRhbp8srGQ9gwslLcX5tBn8cxtCmxpFLgcpy7UMgX8oJp ASaMu7JYpDemSarXtGCIxTZxylCTS2uGMy7fiekZpjwb9xJvs1ajx3MVib55 LldlZ3G0pxvvSnMvv7uEi4cX8d3EhXB5N5zL1WfAwj2JI5pseLzhGqbtkuWo k8CFfzfwZ9I6IdUzctgr3FSfhKIH99H4LINNy9rxuEifnV0Taf5Qj15SJnxZ 6Mkvtk78pT2Qim692O9kNYr183jPuEzcC85gTs1I7PryG90W7Xdfmr4JB4d+ R3bfUube3YoOvyo9WvZrcZDrXrF3jROPPVfgPP2pWHVsGbZaTEB2UkdRdyuM qFFg+s3VQj71CNbY2LFePZFqkrmiuu98zNZ/KElI3Yb0LamoiVYQTgVavKBo xKUpFvzVMgsW1z3Z4D+Wrfv8uMBSFTkPe9I1OZ7W/dO4bFAccr5fQ4hDFUql nJmZOpTm8wu58Kc/b7RvhaXUjwIdfmDQtQj23+bAjVFnxfVodbpvm4vvKo7C 4mpX9m+25vQxkdx3PZwB5QnMDunALz0+Co+gcuT92weWGPJS9QTc+aLOky2U jBvgiKKQnRhq+QMfA/9KxsuM44F8X049MklcUFssTny472Foegi9o51Z8diY J9xLaTnEjXs9BrLaw5IDs45JZEZvFhYvJsJUM5Ht/paclRxMWXcPRsZ0Qfiz Z5JOL/14JPEx7H3WoH7bSkyyeI4NuREo/fYey4dEUGOcNhVSJkr2TRnB5+ei KXs4hDJzy3Fyuq3E0seNrjvmiZEylfC21eDS3cN4ZeoYlk1zE3smdkFmyUes UUnl+2HJtPMfCFNpplbLP8S6T1sR8Osdrl7woPboL5iTZsVuOy5D/lwv6m40 ZoG2BHJH6zB4eHeuOaXGXe+n4emdRnGxRx/41Xozv24lamHB9mR/JpSqirHP pHwQGswN+0byQJQMdGO1cX6rEpd/9ea8i9LerQaXaOtRfXc6Bi8v5JJffpw8 sxpXGqMYcf0SfJoM+d7YCnIyFlz4VQZmdgE0qPiG1JozKD2UxtIu4+HXS5az 7l5HzwgTPppnw45LF+D1V00YR21DdfZ4yqYUI07WjUNHD8erY524PXQ4azc/ QeX3P1Co/ywW/jqAJrOTqHUsZpByV16vfol9p89LfP7IIFD8Qqx3PgYH5DPa 8zmccqK59nW1xMdMiRvnaqA1XJ+qkfGsv94dc4OTyT6K7K3gyDMXUnngbRP+ 6E6Dz4+PODylG5vG+XL/rTXiULAqa5RUuG94MWdcDubMsmp4fV3rIWOlw+2n yrDfryet213QX2MlQu31abDgDVb915mnK5W4bZ0MYjua8cDk7pw334QKiywZ 4TcLXeHH4I3h/JJLrl1xXuSsNhWdCE4Jd2ZsD3UKeyVpd07HOrN+1P+WyHue 1Xi1xJ0mZ9ehvCSQXXw/QzHrFs7+MaOhrzT75r2HZ//OnFb0FLlvIxE46wUm 2RyA2jEf9m/yoXKzsvixthgxrx8ju/UdVqVvQeIsicSoIZ9JXwfT/vhdrC4f z+NnRtNoto9kYdYWnPe5is7rtNDyJ4M/z2pz5yd9YbZ/OW4G+3Dr4AjW7zBn 32Jn3rldByqMYtvvWUjOH8XrTrcwK+026gcKzmuRkyydNIjDy6NI3UTejnDj qvkGGDtPFeMS/bFbLxDhB8LpO6YRxxb/B72+8fy0p0q0PUmjQpwPZY67I9Vf jWr4KobrVaC1Wyv8EieiTfU9/MIKuHX2J2h6JHNCZjwvF4Zz0MhtqF1uI377 BFH79CXhWpsh+rl0oPbK7gjQkWXwn1YEjY/n/KMe7HnoqXAoNuXGH9049VRv Lr3ohS495iBSdyzn7lBleftohhuVMmXdIL4/b4KQrjLsNfwizvcfy+lBvYR8 8wrcdnLml9kDeTm3kBvvFYlVdYaUH3EMRsFyVOusysSunVFwI4mqj6fC9Wog h77x4JTkStzOK2OkY7sQ0OCUM6swf2w32vg4S14f9UCi1KXbfb9jnL4RQ8fG wm/9c3x1yZM8kQ/hmNkOsJ6QhvkbDblN6uXyNt057c8/oTq+DS9GaIpJp82Z 9zSJ71YWIy1XAiU9J95pbhV5RaWcsVJW6pNhnPM3UMhIeyMqaDg77RzMP1eS eCf1NE7PMZZob7Lm+3cW1OmcT6s6a6R7rsbeo1YMLPlPNO3dIub3+iHmLrCF 3UNTfiidjIvz/uNLKafkDjXku0PZaPyuzEWBIxB/r1jS1DwHedXdWTA5hMcv /4Ly4I7sP0Tana4ZDFnfmS1+Ddh7PJiHNL+h/Mcj8a3vZpgX+IlVu/IYppPN k3Fa7JsxlkFPB6DLhO5CslOT3zcuR0uP8+hqsgqP1mYKo7dzPXbtz2WaozXt Zdx4Ni+VZ/YKfh8/A5+s+/OSdzkMLbthV+tM7O0yR1z4Kc2gskyaeCZRfWkK Y8vdob07GRm+t5GeboEpo3Og6P0f74elsmnuHHGprQ4/V4yjwi0VNlYcQ2Zh Nvfa78GnsPPIHLwUJ3oeE03BxWy7dhlDfS05r3apOKKwGy4FQ9jgeRAvzkkz y2oE1w39gDtPTMlRb4RpuvRuR6UzemIXdpzrw699UrF0mjI6zOuD/X3eI3No hccR6W13ShA4O+grOj3uSTUpU6vvGYLvudexIcmZn25LoBUeLGxX9uO8CQOZ VFTATPN8lG1+JOyeq3JOgBmPde/PR89MuSXjHNZ/dmF/L+nNN+9FwrLOLKvr hahZfWmmeQcmZxdBW9cFGSfGMlM7jQerg7m/8oHonurA7Y7JOFj2HHlas7HL cCrufX8IfC5E0gxg+qFA/otsxfmUQPrXRzNW5w7Uau6jSk8b/a0N6OL4Dk/z 6/BuVDP0p23ClNRiHlufxnlhPXGgLY8zczQ466YiM573xbnRS3G95Qvm9yhl P8sq3DTVZ3TOKjS+H8cI7UxuLTHiP89TGGWngrWTRgnrOdFsXBWLRWoLRUCL La/t3gv5QxlC7Y0/c75F43L7AcilWDEhTI/5swyE/1Yf/s21xX+lCzH1Sw6v PevDgg/pklOTR6DPAE92fLACjvWpjNNXZYp8MYyWPYHxO3J+2nZMmOPA2xcv u5t/Gc8jlTfx0XCMSNDy4t2iXPGi+wIsVXdlLLvz7ozJGKe0Fto9bot/cR0R 8J8tEyXxdOp7FYWFDizO/IVkv0LYrCulmWsBZ0zpw+s1r8TiHRoYcOmsCDs0 kqcqvHBafhIKzxzEUSnz5d+/Atne4xg834IxAT5YHGdK4ehB2deGTK9ywIWE Sqzd6YU68yHiQ5KM2O98CnN3nYabXDJTZCJ5RckQbroG3LgiHt9+ePOi1HUe vDiLJYV6NNNpB+760LJ7Krt+3I4Fxwvw6spWyP1xplGaLw2ZwB19e7FLh6uQ L/uM1C+DeeBrlbg0YyeWqfdhSsgKDL/xWezPvYT1sbnC+/xxLKs05JEJDlzc 9gMH/QPp/uKnEGmGnOP/RFybnMlcIw+OXasi2fFCHYNXDGfCsIvQ/7Aedw94 YYxFIORixnLoNW/SZSIeNoxhcZwqgkItJT/q3PgiJIrH3xcQeSMxfF8QFQ4o 83SFJl3MUzHH8R6q/FNweWscFNKcuDXolDBwE/CIPIcHNxSZOLkY0UlmXB6T wyj5ofy64Tr6fnsuzryT5Z8JFyU2NU785N8Mly0tUO4ewvYtbUiV+lHamlGs 8nDjGxNHxv+cCJP4bDG7JY7f5/6SHDXYgqkFmTCxHEfvLWOZZJjA4Ola9Lwu fb7nPrHq5F9kmmrjwuu3+LbBjHvHgkfCnXj330Ic+BUNlccujLj5A2ujOouT yqlcvyXl///LMKFlppgeKmGTahZPy2tR9u0v8aCiFF4Z2fyx/Q8U93yWpDUM ZY15jTjw7RIcVuzF1WUlXJ0ndQ4/I7w0U8B1F3N2sw6ha88cPnpRgnaHIHYN LWb6ORdudgB7mfrTvsNuPFk3Ea+/D2PvN3XCcnR3NiXMx8mWYC7My4e1h4qo 7aPAYRPNxKhhKzHwn5RpRtmxfeYYNm0p4YZnejRykzrNjnlodNLhmYF3MWtH ALu0HUB+arnw2WVF7SNajAox46tfvWlm+kjqiQb4dNiJorQBFaMHcKuSJutW O4nCh6tFnvVn4Fwi+ynIsPDNAgy/RVGW0gaNvoGYujwHnjYOPLBxADOfn4BM xUxMzrFi+9Y8auW/FtltIVTvOxVv/rPgoZ/FeDRyGlJypLu3eSf0xntxmtVN yHwbxt1T2nCzfjBOtKQxqMCentOe4vynl2K43DDk//Knc/UYWMgp8kzWTJze Y8CbisOhfFsLZqWbxLIdPbnt4H/o6dWN5x7WY/6p0TTfWMy3g+6gR9h7bGk2 5K9+Pbn6fRZ1592FyaLJ2DJ1DErfR8D0zgXJ3QXRnFMwERMDinjqXDg3D4mA XI0827x0UdrwVRyyM8GK8mhsrEznSz0Ffrl/X/ywzGOF2XTobF6K/K7mVD45 kIe/DZS0+R1E621fbizaiHGjPNGhTZcWAYOoE/hUGEXchGqlHV8vl7pdU7o4 /9MRWXc0eMfujFD+o0zfEc9xVUOPZ6d25Pe4gcw4nEyP2+N59oAlEzaosq3U gI1+I3h+YAdOuhkn6sNjqVNlh5F3juJ1lyoclB+P7DYNyZsYVa77fANezX7U fpNGTj8qqpKjWdR9FQbbkz6fTLHMLBRL3OMlI95bcdNveX4NmIHmcQpCMegu 9js4MVfKBP98U4X5IzsOmmXML6EO/LnoObz9M1h87Klk20jpzKy68EeEK7c+ suaBNB+ePpvKD2ZRSDZWFm+GdOOeQ71YNnwbVi3x5yybSuF8ZC7uvdVDWEZf 2kyO4AzZKuyM2Ci5e70S8R0cufb0ZaDqKnbvakXSzmXoNTCD7NCLvwsLeX/q brxoT+P4sx6sNSuh9s0iXj2dz/Ddm7D18y+4GWRT/0ox70udoO2ilvSz92PL Dj1+XnsfS+Ql1DWJ4KCGXL4rW4/dW9sxzFgLe3s48+Tk2+LQwYOib7YPVqzI E7sDZLklxI5LzNskXzZ9Fg8XvoTTkX8olbrYI6u3aBqYC5NPYXR6Qco3jmP8 i3hOLghF/sF83rhTjNTyb0gsuoRUpaf48HQMLQ+Rcqu8+Mu6Fy8eqMGlUxac Pt8fZ67rcdULaw5cr8ftV+twvlmOWeYRtHlhztV1NyS7wkfSe3487W+fx/TU 6ZhoNATDTTuxeM9IZscOoMegp3hnoE7dGYmsDf+Ja7Xpwme1PL8NGMfeEn00 eiby14sW7N/Yg6t36TO7dikkpzKpWPNJtGkOYnv4R+lczNmwaBQNlH+KlyW+ qAvsRZhPgEaXQL4OV+aaIgV2dnPlu1dD+NsilUHdn0s5UI6hU++LZnM51n09 hC3fTTmkNYZ/F42ncXgk18yz5/jJp1H3+Lhk1qDZ2Fu8CJ8bHwnWP4Pik+6U M/8Nc6MeeHQ6gnqPB8HQOQvrSgJIjSWirdtq3DVXYs6Bd2KYV5zUl3W5S+EF Rg/VB/QmI95pFHq8D6bErA9PPYqmlfJG5E/5jsqbalwdZysiPQ4iot1VGNVf QN3nDFF/P5hxG8dwxKtEWhQas9dtDy76qIRkW8HZ8hPBcZpYN0yF8Zs0Odtv H7Z3TURocx7c/U/h/nA/Ya25CS97b8TKC+GcG7gegbcVeS+6Ax2nVKBLlzjh n9oG/byJ0DRJwW4VHxYtV4LRme7kmVzaaKiwx9ZfGFL7GHXXi/n+1i38p1bK hWvtqH/tt5ixxpqq4wo54lIaQ3yCsHrFDeG5WZOqjTKSDgo2bHx0Ds7Xcpio VkidHyAVr+NzqTr3ZzwUB6WZtrw4hk4XQ1lUk81LauUYc06wq6UuzzW4MKvW SzyOWyA+Kg2l/TcvEdMrgB8LZgqf4AgmrDPgkTvxPOMfxX8lCdyeNhTZe49J dnQ8LEbcUOHBssmiMKUBMya44ZpDb25JUUbysRMIsxLw+yJDD0mDSF1YxrBj aRx0vwDHkwLF3k8JdJJT55fIVDb83CfWtt7GqjJbflyWKq5cPY6fgUUc9sWJ 6xUsOTExm0rhPVgu6UOnWUvx91yruDrlOJoUV0gaKozYoF8utu114tNTzbDM NuayZ4BmyU2xs24Mlb7OhdXvImp1sGHSv1Ts8Jeh84VIJqzpQpmISLYf7cod 8X355WkKzykZ83ZhHy5e2IFJtw/izvEGDCnV5Aurf3gcNpZ/9YKFzfQx1O/t K5ExLaDX7MO47uZHua/qmDD6B7JN34lldoOp5bQE+s1h0v2X8lx4DH++nYGA jn0YHjwFX7toY66eHh1rglnftYS68e1i8y8rJN+cANOIEA7Sz8KE5nJcX/IW 69u+Q+tyJBdMkuXFg4OZn5HO+gvdJHVPv2LB0wgmbtosDjf2ECufFMHwdxfm rxtP/5YC9t7zFOOK5TF9kzFmzZuMup7GXLosi0Mb8rjxoBpvj9TjXIah/Ab5 /bMDnZXOoQes2cM+hLmr3elt/0Yyc1Y3WD9IE9Ym4/HiuCnHbX2BI4uD6Rca yDG9TSRRPlF4pPoRlpVSHsgw4rMpD8SEnpkcOmQkzy5MoqtHIEOmW6D+iD3k S/tyo9tSaD6ZhoWPN2BYcR5vZOvxzWANTEpeiu8OvWg17y2+HguEQng+yzYt g/fyway7oAuZbBMU3ldgp1w38XC9Nk8PKaXJ6VaUztDB2vvnMPPUYFyrd0Pp 40bktKxH6+Y6hDpKOHZfGMJGj+SIsZdwftR5ePb8Is0yZw6cnkEV53MIi/Hn x/nvxUi3Fix8Fsy+J0OZePgYHth4suc2B9zYHczskV5SdjCi5T47XpRvQO/o tWiK3ij1+3RM5x3xs94Otftu4+/DadA2SIT9fGMWRp7H/qsvcdt3E1JVTuDw SRXO2t2RVQlaDJs0nsuUQtBSkkb9fcbcf2SdkOg9x+8OWryYVY6/F8olOUYX hbmZNgvGZtI5rBO9L5MZE7vy6Ob7MB+vzSkvLOkw8jIi2/Q5IdQSBltkeDlS Bq87bsOjASGs3N6XJ1a5s/joKtjsyvRYMmoVIkyXwfJYFpcPTefnbHvKG50Q /90IpFzeGTw0Ancn3fCoHK9PRbtjWHH7Ouxc8pBVUC20pLP8mZnHY/d/YeSV GR5H13ehnqUaB+iUScNFG6pvWnEA3rzr3yo5ozhPclLRjRXnQtBNOUBy40kn rM1xJb1iiANN2B45kO9ujaXhBGf0OzqAHyo2YO7umeJa7BxM2S1Pu2pNyrxb gqQ4G9bKTINciz3majXiZs0QPlwiQ4t5nzG3RoH9LIq4qC6ZjU6FtKzR5zAp 92R98mLaGx/2+ufE0h6HxLZHN1GZdQGtqonIfB3JN9edOOe0Gxr+2ONgy3s8 fbcIL4IdmTJ8CqzG7MX+u3rc36sDmiKUGHNFgyfmd6BcxUEx+eQj2HbIYh+F lRjjuReT38pRxsWKDU+3wXJWb+oYaXKegwfXx+zBnHdAlnYYV7w3wt1RuazP TxKjpPcpX6ctDnyYicYnjtzgvtcjW7IcHb86UNcohapRB1Fu5suwly8lWc/z 0dlBkSV/sjjxSxssX7gy/9Z7lBnuhc7KC2LDGEVGdxHcsGcG7sQX0fGxMfZM yWavE7UY8G8Qy6Xv2iAjn72/j+aA5mHi5tcKMbz3TLinBDNYWZYGsZW4engI k16/QkpSP+pGmXDL1O0IMXmMJEbyWdtP0SmxAxv9lyN4fDxnedZBY+xMaOdE 8sWGbqj+cxj9Q++JTnPVOefWcQztmMtXKoN4ujyKQYM7sWFJFkv3j+Y4LyX2 FgrCRC0baeeOIEd+DLxsk7FqWDkM1I1xW9saX78ES2S1evHygbeo17Vgbd9w UWzVmwtsouhj+Annc4dz+xgjrJipRZflLRLtyAzu2+fA69dNePl4Bo+Vh3Hp XHs+tjyF4zPtOW54N/Q8SIbobJGo/V6MnNNlDL3QAaNM+rD/k07i1d9knipT 4ZBd2sgMn4zF5Wo8e8qe71OMufmHGVdGhtN81wHJpMf+yPLpwsrfy2Ci+Azh 33z5MMtLeJo4MV7xNPab5VIzbIqYMMaa/Rc/wc1+6jRtMuBdkzLuaQqX9sM1 DLV24le36zghk8KJI9vglXANLx0+4ZrOSO6yvwgd7+Mo+nQT4bF9xfZAf3Rb k8bk0N34EXwdnQ6FUKEmma/8bJG0zI0KzjE8bdGV6kom6LhOGa2+IXyodht2 c124vfy3sFb3hmPmJDGlfiv0DqayRfUGfmXmcE+EBi/UrILWtC/YPKwbC2YY 8aW2oIq6DtPjy8ST1H+Q0Se36Y8S4+MWQn1WAuUiLqH44U3s7DeEcwbmoGN6 IFe4fMBgr3ViSkIALx56JdoWguntXag20JIxQea0+G5C09zpGLI7jz2qH2BI z6HMzpmHWg15ziy3EAYn07BReY3k0GpXLpu4Xei80KXhqG5s0jcS4+WDCZ8P 6JX5XsS+DaLGwGL65N5Bbnos5+oEcK2Zj9S7ajH3VRYDWqvF/hm74XRfH+U7 BmD4+J3iXKUxO7uUi+U5QRxt+liYtadIZ+KD+gHz8Cv6E1QjV+DQ++XY/vMX 3oa/FOdb3+CQ9Xo8nBmOQzYquN7DG5a3InnHYR5kp+jyuOZ9pKfsE36/1ZjQ JZ6mcy9j2AdlntRcinpTc5Y1D2Xly078FhTMXR2LsGSXGWVbP2JKsAw3Sr1i 2NqD2BCzGU7pUq/Yq8hQ97WImBrLBcc0kdhXsOpxPz5bNpwXhxSiz4Rk+npu w9QN1pw7KRf/ecviwBUvakydiD9hvfCn21DObHgA769dRIFZk/hwXsrNKV9w e7I9c2vHoy1DDpkzQvmj/07xye08JKrGVMx6I4lb+xH6OUX83OEGxlaaiu6R RVRfL0fzw13477M8PUJKOEdPE6ee5SA60hanco4hdLgGO+6QPnudDFoHBtDC 5xdsRj3E2TglXr2RjO0f1KnhLcfMMide0LwojC64MVS5AbGVT9D7lBmH7RhH 88/mPOXfjCsXv4lZYhiWK8+Hp9pVeJdcxZABN4SxbG/6b1VhYPdYXo4azXeJ /3Bg2neRp6GL+3tV2KnzQA63C+XktV34tmq6ZOKZP1h2th37DlaIMUpvkJZh QNra82l+Al/eiWHy6LM4+rkUhzxWSFLSMvmjxZUbV8nTa6qd1Ou/i5Hynbhz QSH/XlcSydeC6BEUyqAnfZi9XBufP4zi3pd9uLRnCL2krvDyfhBVrixB8+Fn +L4zlytTJmB48GBxJ3q5CDt7C9rDomiwqh4b1m2GchcppwcF46LLUlQmZ/Hl myCuGf5askfK2tN3BqPzcTMuViugg9RxOvdoQDfzdvSSs+C5sEnY/70Kli06 rHPWQ8qeGFqMHMuPn59hRZcdiFyggEMpI9jwI4bXlk9Fv2M7xMTXRSwLimTp 61qxdGAf+teWctbDlaiqUqTLTHk+MTPCDusA9qvLgN28CmT4+7P8cj7njrbh 6modPpJW9ByF8fhtYo1u60/Dvesoqn5MxOXlUdz7bAjdXtzEbEMddhxULJmo M4LeunvEh5aHCFp9Hb7eXryllEXP796Qe5/Hd3kPRWYPE4yU80Lk/kX4EXQd AxK7QP+11AtCZSTzX/nQ5fkQrJbyj6z7aF6yiGH7kUieu2zIgn/G3Om+GfrH RnDg2QFoqE3kjHGhCOt3BXcHh8Pmix+rQgNh0taZsTtHYlNSF+jJJPLmSAPs f/EU7ltUUfHQC1vuffGwiZGBV8hwvrudx7S6CbBySKL3DAsayVhxzazDUNZb gW9ntyJr03jKrAzineeHcWbaTPHQQ41Lkld4PEg6Khb2TadCJyX+5CaxJWcf MrXjaXEhmuePp8OvVxWWeI7kqgULUKX9Es2Bf8SI2MEs8uvO6e7tQOpTSDb0 oeA3TLHL4IHjn+EfpszJ0l6e4d8dpwN9UfzvENIowfFkZw4/+lKsfHMK1lJH 0Q+QMHp7JLXakjhoQRpHDW3Gs2+3sNGmjGby91F4M421Pgrc9DmBqpfa0dZg I5qHbJRM9toNi2FSX3Y15YChNag4/BHTJ24VOx1cmTmiAclj/oiyikDub0nh IGs3/u1lwk9/ZRn50pjzf5lQwaY3d7QM4u1xuTy5/5CQzehNDNiFR+II0l6O YckXZY5VMeDVKjUWhwzg8HJHrul8GRL1H1h1z0fqkR78ePQevBwt2V+mv+Tr wiW4MCiKHfWei+LXDrx1xJPnrIZxi/J21OyqFk+OR4oO29dhaXaMuLJ9tIjb dBj3VFqwTqUDHkMFo22Nudc8VQx6UYDvSZXImFSDfI2OrBh6yEP5vSz85xWw 6UMaU7VNGCJmImndOaFRZ8r+ngasil2C1Klz0a3ejd9DLNjxhxHX1saJebXq WB2YhhwrFXou6cNvMXfF5DM74BR5Vow58hR3Gz35W78Ch6d3pe+jUczWqIDK f315dHJP1ii74WAJETBuBT7Nf4sO/YdQ/Wwgn7TlsCnpKuYYDMH24PdC5uF9 XMgaxfLw4ZxzJJ5nFYdwd1s49x+7IDYeapNczInES/+TMN1+HBh3BuPcn6GM aXQus8CoqzIML5Awf/FuVJyIoo1mBg33HcfSoep84KvJL3ZO3PmzC7716cke 2lFUaA2UziiGf3/IoSo8Dc8sRmKylzfddz2GziZbeD8NFtVRPhx2KoVqn4/B Z/V4+lk588TSg5KC9q2I9jQQ+2y90OnaMHwbfgOn5V4Lhzkq2JC1ARkmP8Tf 2bbs+qk/0aYlwhXSWXlTjpd+a9HhZAqP+ehTp7clnW7pYvVIQ9RcNUDE/Bie 3ezIX83LRd+epjyW+hO3PN1oYrVaPNq0H94fXXjnwQqYRFtzw2BTETBRnm9O OPNtgiI7jPkh9PcNkua8A9fbBrDGsIBpm+O47UgiNgww40iPOO7o0pcDHJtE hKorqqQZO2bEKYSNIc20IuBYOZyKTWPxfdx5oSGjSt8vYzEgVc9jnstftB/t yJpTMdS378UL4y056/R5seKrBzMr/ejv2ocz1u4VjacuwMxNhtPkynjY77R4 VuQKlaojUJ2qwZOKavwZ+hwn8xWxs12OJ1KPYPmEodz6U1f4ypWjZEB/pq+M gO5SR/wYfFR4RsnyXp0le9Qcg8aOaaJRFLP7j8twnr9ODLJrgMnFvvz0TI/f /MbC7VM6n3cJolLkZNF6vBZr3/XkoWEn0LqsDTG9y4RqcyF1k39j/MS3Itqy F4dKXNjsJZg1655Q2KzNq3dluVxRgc/e21Px4DoR8PIRPGaW0bRnKxbWF7D8 sTOvmebz8oNpoIsCO+59jyvBFdCrG89XjYYcd0N6J75vhWdFBGcVvcCPLaZs /GLJzvYvMbQom9H9R9Lu3wb8mlrG1T6pXKhvxw1jVuPtTyNqma1AfEscm/V3 42VxIMqTN2D+s5Gc71/GQ27B/DtSj6lWdnD8dQHLHcux0zaEAd0eQGn8e9Gn TyzMrpfQeHt/yfLyWZizaj5WFHejzZrJuOryHYM9B7D0jBUXKnZkdHUVdi0c K0ozZNg09oYwMs5Gu0sSOq96jiEaKjDLGMFA3cN4ULVKjK92gVPwJnG25z7J hsXZODvCmANiulLzuCFDTqSxqK8HYpbWYV18BWqMw4TyvWuIqOvAkjR/+OmP wIaVwfy65qAIP2LEw1Jeqsz8iPwl6+DeyYt/p9yGUpYcw9R98NJlIJsW2FG9 PFUsHFwIj5vfcSvuA3YmJeBMtRktb/cBOsyQhE56hOBNMTTI+ynO/Z0JlVgV MTPjLgw7fcHYEXOxeqgB137ozzlJndn/8jxhMDYWc0d/xVp5E8rf3I2wp6l0 UxvOBzOzWeoXCn/r5VA9LuGn6C84vWWE0N7XkROOKqJP1BjOmyu9AZ2LcFgx mC2x8Zy7yJbvfLvQcIA9RcVJOB/PY9XPKnH51jVM2pZF2c77kW66EE8X+rLn 9w143jpLaE6W4eFGJ+aeTMEqj5687RHIuNsfcEYyD2r6SnSyGc9U29H8vGsg xw7ypcLxCgRP7I5DnqN5LqiEYXcd8P32NHGxsAVz5vlQy1vqBp53hP+UvxLt 8wswvWM6YyN12aBvxIv5OvR4MZLKKhFsutuZmwf+xNsHI+j54wPWquXxmbMT 85dkY071RAT7jGLg2yrMu5nI9RP686/EntauivSa4MAbykV0KB2Nn/ceodms AT07r0a68yx01RvO2xHB6Noox1KlUiqMc+Dp7Z14ZaQBaxyeYs5wovf2bkxI 7AYj+VPwPChH537/RO6S/Uh1ksXBs0uwbuYVOL93Y3LDZ3G/dxla6nXwX1UJ vRSnS+e8DfnJ5/GvfhyPG+VxafkxUTgxF/veleB2aRSfJWYh4PIJFJXswqbo Ydz2YRV+tO6CYnepd8xZgrq6eB5NPIq9XY8jq6JerJZk8PG9XJzxakDdmXPo P+KaqK03RIXjI/fPPlLOzu/HD+d78UalpYiPymerXmfWRv/DFsNSrhk8EMP8 nGn7Opgfgw35Kv4m/uzbjbav8/Ai1otLhQ8X1k/DT8cCXn1A3tmfS9V0f8rf 1uLiKZp87PVXlJv157v9iljWugjL/FqgnXAR8y4FoOTIeC5cl4yIh2F8dSIP kTq2NP2nAAWLifgVMEXyfdg5geUpXPHKGRvi3bFscpMosSmFsYfg3z+XsMGy Wihu/iUejUgSl44UsEHaJWVe23DX1B7D+uUybfF4Vm8uhhhqjPpzp6Amc0S8 m19CvVnBPP9RnZfmxAkbnXNYrf0db3ekc+HgPqw81o2Vf+8gOdiEV9mfWlJ/ xdvlOGwymD993yLpnxcq+wzF/P/Ow2hHLNfdTWFM7FycFBb8UC1DPe3D+JGt w/2no0S3W/ZsWtibss3eXD9sIeozL8D9/zg6738u3/eNExkZZZRsQqIIlYzX dRxWskKUnRKSzKwQaWnvvd6009CQdgpRqbR3GtpTKtrj6/P9B+77cZ3XeR7n 8/nLfd8by7TPf1G4IYR1ngV8eV6ZKbaChn+1WR8+U5xMG8fS9xI+NTOgbogi wnISaa41EtMVunTwqYTTBg3k4bs9qfRKEae3a9F7wGFcqM3im/4LcPxFCxSH G9Oq6hPknkjz5Rtd3L4by1mGPbnqQwwPBZaLJ286s69dBh+9nMh5S+Spky8h dfR43U+H8Ufz+ey9HYysruHA7gp41r2FXpceuOatJBxnuMGsoQSr62x4yqVZ yOmvE0OZhV7b/DjCLpO6K+agoEsOA7YFcdDDFDY/XoVQv79C+msF9o00Fifu 5bP36cGw0TgvNn3I5d4Busxc4MjdI9VxLjqG8zKrYajcyXnw4Y6MWejMatfR tN4ZwQM1j3HHsRyuPX+Jdf9S+CZkFA+Mu4z/pC6K+AZtvDyqy5ChDzFEXg0v 8hfC/1g2Z5TcdO58JVME33fns3XBnHCnB/PkKnGzmymPp8pyOUbys34PRDyI Jr+rc8lRDfbPt+S1Mwm8P1mGe5SSuWKzfIe3q/JtZ2Vq/vWnT5gr98/tjiHz /uFjVRl6Dcqjaf0jYfliOBsmJ2Hc/BzxwlmNDerZ6Hk7DHuztcQrkcOXw56K CwVroV+XzrZ2da7rcJvJ+dUi/m0BYi4a0DjMiWeTgiCRyPJzhAGHvfwKp9c/ MUtqAmMnnBb+js4YdKAUY0+kU/lqJgZ+VqWH9Tec0E7jk8I7eNXB2JulhvDg q0yJ7HRrKPob0mxtCg5XViHM35FfDyRivJIXQ6f25TmJAaWH6NJ2rwxe5usy OzuTITG6WLlZE9tM3km2VU/A9kX1EkfzID5XWwSbhGC6erzCGc9WlCra8UdE AD8djezw8PnQ0gzD5UQfpo/7g7yccR17y4EjhyZSviybB4NcYXL/ttigoYY+ v5J4ZsMR0VQWIHocVmPbDiMwNoZSylfh/ec4kj2SOObwNrRUOVO0PscJ90T+ OmrOfRnxWJG+RMTs2yyytHO5tGY0l3V4xaYnHQ5RMxAuN5yh8/qyePEtnwsN OuFf3ws4HX0QF+PWQWeVJru9sOchy4vIV+vYtaW5PGizx3mPRQ73DB5H01te 7L/FgMPXz0BO1H1Rf2mN2N2/E+2nZfPEFSd6mjWhRP85Ln61Y7mVOrf8egqL 5hfi95+T+D1/FP1DHKk6fjpmKJ2F8Z2liGgPpvajYdydH0OzKcvxrew+LMLO 4ueB3izutBjlrwO49Ew2Jn3pyiVueRwaYsxdxzLwMGgBZNtCOMZLVxzduwD2 c6J5/eR5PPVz4N4If/heHc/vu/OwK0KGGbKdMcnvMfYuPYjOvVP5bvknaOgI Ziptg/yVegy8NIEW3mE0l9KgT/4kfsm34peXMyHfkYtvXcHgaBeeygvnqz+K PDfhPZ4tU2Dh0B6cZDmee69K06PiItynq9P2iDuXm21Fj3s78K09EP0mWTOh /R+ih0zAC1NNbg0oxteua5F2UIM7WMD+S1bh+fG9YmWqHH0a4zi10hcDritD q7sMVv4YyhO+hlhlnMFOC+cJ57vm/GHUH5Exw9jekTf/Em/jXtYLURPtzASL etg0TmbVpR60mDUXJSnbhMNcNdZmTBPzpLuKTb3LoPriPJQ+dubPe5Np17ke TS+2iNw/mmL5MEWhJELZr/4q4rZE8+Sux5gW/UFIBuZyhYcHZRrOIF9uIxS3 +3TwTiR7rTHh+lttwqWqEy0i32HCpZdCJyGH4WfMWLYkGnM3LsbQfgV8dMuc m8ZEw3CEDfu4enH3LlOcyZVn749HxKjhM2D34Rx690nn6tvTsGc2WVoygn/j vokP/ZaLsuFzxPmrrzD7jBXHJe/BmNy1uJW9Bjb1uUzTSGPR1xZMH2HHbWm5 DD64Tii8dGXoRg221p9B72XLYbPfnuurUqkb9Uc8lT+Mgd1UOMLgmZhn6w+/ C7n4WeZE46YrmDrVka4HE/g6rDdOr53EpBETuW1EZz59/kTcWnQGc0OLUTDF jklbRlEtRQ8j+1ZAxmk1qjp4zL25FNNskug9V5FjTNcj6pAOCypk2LTIhlVv c6ggfxPDFoWwcrgrU1dbS0wdFahd8QUl7do8tKYfHfwrRY6dYPraYYDmT0mf D5m8sslTyIZ/wpQQoP32Dcgev4JHDd9RtlCFx7f+hN6zMjyp8mbErPPYNdmX rQ62uHChCjvGfcfzPzqc6hnL2dZdOWXKZTi/jOHc4HXwMc2D4yFPsbJFC4by i0T87UUY6tadbguV2HIxHV2fPUFzgzwj/ozmcyVfYfFgpbh6Pw5TLjQh9F47 9m3x5MmHVZKW3IUIn1YnaTSS4vfz57FVKgsBi2RovMGXfpsLcTXrF8JvpfNY 4ACUO9hy6eDvePhpNBcWrhHbN57F77fd+fG/xSKuQooZRQGs0JVC9E0Pxmqe h9/+n7A8r4vTUYPwoO4z3lztD/u4Lnxrmcy2R1LcEzi4Y1aK+EkxgHMq07n1 tDXt7k1iYIIJ3W/0Z+lidTrNXAwt1Z+w27lLfG3TE7v+8+Q9pa8YF6xHHZ/O VMncgoYbaijZUY76z2EM2fIXZkeWiwenMuEVZkuj5NFoqb6H4qgyXEofIHmz dgdsHqvjicQO1bZ5tI0YytlLHorPQ4pwfrQaB8yJYdKhJDo86ozOw72x1NuI /w3ywO0329BqZkTnUW04ptuFv4dM5EO7G9jw2onz1o+mf4cvbc1J5+Dp3RmY 7UqFvtrsukeZ9kkenFFryT6T9iDl6k18aHHiibMnnKcmvcVo41DcWzaIH80y sSXdkwf2O/D6lcWi6UgzFt/NZNGkBrzqvBZPW97iWaCNkIrKwNjzTeilb0cF 5TIJt6TwalAYA4u/Qkn3O743ncK2OXVI6+aEYf+8MLGtK/0HDKb/b0c+kj+A tqQozK5S5P4PkxAQWiJCn6uyvkWeijLP0bvUjT5F38UgpWIElg6AYvcc51/P 7Ti26RDUAqYwzfEWUn5PERPSJWxsPoBpYZqY/fOPuNy3oxdfHBQvNxUg4bkm 3R5aUbavF2ODbjq/VmlF5JPRDN7tyd1BvxH99ypMQjtLDI2349+GDSh0LuKZ czsw92sXBsgVcphrk/DrtQBts0Zz11V55mWpM9R1L1IHLZKkxC1DSssDkRJX jDGed9H6hrzgVkg/XMGqtgGcO0YBkT9H8cTEgRxgk8XvaWbYuK0zPS7uhmuy KYY8yWTU7XKstcvFXhdzylwLh+e6m2g7KotIta8i+ddcvNo5DxZ3u+LcozNo qgzgsuBU/jq5Cvkad8TzlzJ0LFog/lgpsXzXKxyw8eKmLiHsW6TKy/UFdLq7 SFj9yaK1RSh7q5gx3c+ddWe+oXbvZlh2PiMuLvNm4GF7Pi2fivl91sHjcC7D fKWodm4id+da8MqZKyIjtx+Xh1my26x+uNBR85AKOxbkq7OpS5C4/nGOZPm5 dVBX8MdbFwOO660Gtxc+Qvb+GO5c8grRVz6h1xJyasxERpWsQ7+Zq7Ep5i3+ 07nnXL0rgH0uTOanSBPWGaow0kiP1jMjodyjoaN2WXxZsVMyOrIdiZ1D2HLW HtcKf0jiQo05+NBY3pv1WXLkUxGneJhw5LMoyalIfw7spsfF7ww5Mms8ZYui uO9cglDT8UfRufHsoWnFxoPK9NomzZVrLISrbHfuH6lNp9XWzO/wBvPCPlzb I5g3ve15+5AFi9XrJfywDBo792NJ0EjOPTqIc5eCU32bkTYiXhyxO4Mo+Uu4 HbBAzOtwrqyaU/A2uC3cB9SLtbcjWNjei/dEEo3uOjHQbD927u3H3rsT+K9v Mg/kTsPr0lCc73ADhYz54nmfX5ijHMtc46Fse7oTIfWKIkFzhnByUkf5uhY0 m/vzsJ4vGxIm0GltAZ/202NWiidv9OrNm2G6vJp+WlJ/tVnsftdd+J3/iRvH 87jAo0w4XJHiy8xUjtitjIMqmcxu16e7Z0eGlaRxmc8IVu5YD5nhjRiwIFeM GWbIbv1TeEphKIdEBrJLpMCXAb3oMKMb/d6ksH9lNGdNj5RYxYXxYt8+XNw9 mkvO6tMi6CVyFDKxakpXaiGfposnsteXdpzU3waByRiuIGji2onjzXJYM7UU /6aa4O0sCZIuLsW+BV7IcDmOXceX4YtkLe5Nk6behDjOHfRdLNTOpuG0bswc kMgRIUEs1JbhzqBx3NiqxPzqRxgYo8ZZjdux0FwVdU/UqOY6GYmtKsx0vSjy PL7jrWon7r0wlF+u27DedSJdP/al3+SZkNmZJT4edebnfD9+aM/puJvDMKrx 4c73vWjbvE6sdZXlDrVL+FNbxH1Rd4H+Y/lzgxVHJusz88hQ7ptQCf32IAap xHWw1TVcWDWWe1UGSqZ5F3HbigpI1a7G++SvktczTuPRtnWwP2/L6i/SlJMt QpjZRD6+9hWKq1SodNKLbn9t8e/SYCbp5FDadxQ337ZhwB8VVr81pFrFcC4d /lcs7fQNOu/V+aGuAl/DpjD59zhuyRuNZe+vC8/lJ/HuyycsmZrPdM2byDUr gUZpNzoX+PFN2hrx20IBZtkD+fSdFv3GObO/qgv7mvdhxVZXml2L4DIVCR8F D+HJt7KULziBqAhfGvQYyUXZE7m8Y84M7hqhh0Yg7eTs+Sr+HHJuKnLBFkGl a5bY86VZHJIphe+uTejfYzMS3aWxzsKb2elBfBJVipbNc4RnRS6LWxcjbe5h jFmoIXbq2PBvkRf2PH6B/LXnsfyNgGXHfg1N2SBivXtx00MNWu114dhIKf7s P4Y9zU7AVKkVGbI3hc/NFjHh+Hrh6uGG9G4v4ZCTBf0rs4WxlSfc20xpnZ2F 1pcLEBArx5ENr8WFYW/Fbo+elLNPFsucPWiQtwFnw2L5JPCDc2ldKSzHjcW+ 0lUSySlZ7kqa42y4ZRB7+/3FJ510PB4XRL1aN2rMNaTq5HRO3WEqdp4IoMy+ SVjUwSp9sy6il00zFkoUMGpgLWLtFFnkGEjvo5VC7dNsyfUDORxkdgTn1nuR b+bAaZol9OLvCEWDQWJ371FUnf4Innlz8TN1Fn49jEXlah1mFXan51dvuvua clAHh//dXoIpT7w6euAyuhw4jYVWSVQpV6HC5noxRKtKhD0xY8XZCtQcyeWv JEc6V+nQdKQr3x3Wpa6FLcdNmw2Z6RLaT1iB9A5+2Zy1Bg5FjWisqkBl4w0o GMTz+jxtLnPUQvKgHiwQ3dnbeSmeDzoj5B7m4tR/wTx82JFXQyKpqDQV/TMi 6OjvwVHT9yLvkyuVzzRi86WpaPM2oOygXK7Z1Anzk134IrQrPc1zWGCigIN+ apTZmMuSllx+8wiltk0JMjfKM/bmQbFs92scZyh+KayA9Q9Tnl5wW3zYI0er KB++PnkYXUo9WJ0bhG1TPbm06rpY3XsMx4+Upuu3RsQ/NqJU551Q0FHjuWgJ K29mo/vzWLypPSQcatswaeALyZBR61C2M4YrnOPFDw9V8fGtg0hYnsDBwhM7 9xdwvroRFzeFM1MyD3mJdgw3KOCYlMeID47jMN0i/jswjntnxPPvEH1GLw7h zpMJGH/yAY66GCHeZwLP7tgF5QshPL90En+5nBUT6t6i/LEMt4kz6DR4Dx7I +dFj3kBeqb2E823n0PQ6mf66J9DiNYLzFgzGnmAfRj0vZPf/xrJS2Y+RpTWw evkeJUc92OS5SnJWz5h3flej1myruDa1E5398nC35BkWDXiL1Jjekoc99mL4 khdommMo7idPYIl8DsdtyIKsWSwTE/+K0A2T+WhYMJcPmw85bQu+GJ3N9DfS QvZhb7aHT0LtP3VOuu2G1lEFnPlqIMJ3xtHtxxeM+uPGdM9G+C24gKRLqTzZ vRh1/02k+6L9yAyqRs7CZZi4cRRjRpgLZePRPNz3jaRd5SNWN32VPFs0lgkL 9+DaBGM66VtQ66E7Z77oh2a1ZLH/UwZLd4+hM83YtesvVLr1YsPiF9jaw4gl Cy142+kURs14KXG2CMb28V054/Vx2KTpQie/DF8lMdzY4EiHDyfE9NMeHTvn f98PLOS6Dg5d+6kEd9cPZsnbOH6dEEZ3wxrYDjiFD/IWNFdcDP25i3Ch52AW v/2DqL8xvNUnl2rq75E9pAwPlijCKOCAWNi7JyfWKbHZeqUkxTKLSk/sueS3 BQcp9qdisgJfKj9zXtD4A92VZSmqBnFqgRQe2PyGYT8JVjf7c8FLTcDPlHKv m/Bp7U6x/0G1GPbcFvcsU/g5ditmOZjyw710+HW3x8dtwbS6l4XyrQPExkne zOz5Df1uePCz01OxYN1MbMl9hI3fT4uqq16YVWhHrRoLbgqfyPwuG5G9IY/r TD+LgWomDFWdI85t+CP2//WhjlMtql+6cPWBRSibak3lETGcqa3KLwMs2fu1 Ode1FIob9law3B6GwZNL0GnRV8mxOFPWHrkKaYzsyLj9uL/Sh5qzu/PRCXX4 5XbDZund+KzUwa7eD7Bi2nkxsSxGWAfk8OFmfb4v9kZnGV0ev3BAXBiYxjRY 8epYBZZtdmasUgErAx4Kh2YtBGX1oeb4J5hZbMzz7y5A95ktHo7uzzqlcSxQ 2om3mR9w0sadzrPGs8tGWS67Hc1S0zCqRxgjRS2O8R0ON/11EUfPDKaQvMGR BD3uqDmPbolFnLciD19itBkpSnGs9j5ipQN4vFhTEvj4pXjafS7kE6/gx8N8 vpCEcMHwCTiueUe8eqBKY5eOHujsxmfWfbnf/YO4Zy7Lp38PY6GhD0MbdmG5 Wsd5PTqzT0ud5J28K6fq9he2dTK0PiVPo+NWNDPtyCsvZ6qsGoPa74Z8fDaL NwKn0MbuNgJ/+lHefCw3bw6mgYUnJ+Y2i6rEN9Ca98pp2Ss/qqwNgGJdPRLu 7MVzG1veNJdhVdB/WDB/PVziT6BkVQB9jDpD62Eov/qnMnTwWBo8uIBuDdfw 8uoFTL5+Dwtub5HUPZmHi9E6PPJMgVZ/LqLx6TTRbegmofHLgQecHmLOw+/Y eWwNVhioUIyI4hq1Cew/x4iHNzTiqWQoZWUNudTqA/Z0msjLhhPYvtiEf/+T 5WJjdV65psnDtmNZHxDOZ/MCqGFtxpvj3+DplwahOluFUksSMe+mBYdl6HBO cz2eF1jTrEKF/xIkTC1y4+qjfWi5ah1ivFN5qcZWDJEzYcnIHgxo7Sc5oJHO +eVtCDqrJz41bxQtW4qoqLgG109OE9vvd2fGyb70idiKdVmj6ThnlTh/qoMd v5nB7YIMu4bLosa4Dy/ucGXkiRgedliIF7KdxfJiQ+a7j8TML+Z4ijFYqdyK XRqPnEpy3ZjXYsL1xfsR/lSB67dqi59dAjCgdwhFtp9YEDxf/CgkR7wpok3m aTze1gK/+z3RInkuNp0yZHGHh+Y2duHC8TacrR3B6OXnJMEn+3B2ry2QDbXH yEUhzN07mv+0/anu0pkNz8qx4OA4ah7YLxZbXULd8wGcvyWRZVeG4UPqNTSc OSiuX5iGb4/0+dRtLAP/7caVmCuSyl5DhUO2Hf+1T6JQThDy7g14WmLKuv1b MGvNJRysHIwLg0rxLFib8o0KmH0zlMXBaVw1u0LiuduDO2wGdPS+D+1WR7FY N4NKjgeQ/n6RSA8L43gDA8z6G8ee5y5hotQ6fPr2STx6uwNX9FxYXhFKN4s7 YsKZlYhPtucJr7OY/qeD9T/FM9m+Exc8iYVjR332H4+C7icz7oou5OzsQvq/ 1OA0nf8k5vESdv9oCYNtUbyf58ztmzrx3ask9hxzURzt+RYXlvtAdlhvDh/b i1t0JrCoeASXGGhy6TVf9g4DR3QdSKnVqdj4bRaM/8SycskDJKdfFq7TXRn+ /KsY0kmXzSsEPc1WYqnFZXw2GslGjybErgykY/80Wu9S4eEeeZKQOyYw2y2N 9Tprnee8SmWrRjOknyjRQr/DkZ/K80zoIBYZ++K1UgfnfpTC/NIwfrAZy7Q1 mYx/n0BTxdF89SSCt1q7iPyNtUjPaUbQ7o8iWbMMn3oF8uJRY2b/OIfP0v1Y XdVR0+OKPHHUldYfXflmOqja0MEbUqFofPkbHLtE2MlYcna9Ce1vptLk3Fmc zU3llKSe9F92ETWlCnz47Sq0cuZjZt16lK4ZiWtu6dBq1ufRugzOizJm6/P9 aNlSAz2ZLsz+EyBmH3bihrwits12wtthGTQ/VowX+6Ng3n8Fap5ks3R+HC9d jKHKvo0I2tyNcc+vIHN7mviQ+gZNfY5grZIRHt/s2OeX4yBzLooHFfrC/Y6E 8VqvxbnbLnyXWcjwk4+hOvgygpLHcFxdgLjZvhtZ2zWZmL8UZVnDULvLn+cr Cphc3IAuy+ah7Is6jYId+WJJGOR2xHPtI2/2aDWmT0KNs8uQbyJPfQHkQhcI /S1tSLpdwP0p5ky5FUX3r9sQV51E26+9Jdr58nzvas/YPs9E2UMJj7QewL6I lR2zNYSfjmoyyu4PclZkoG1PIntX1iH9QyE7z9DBbIcE3q34JznFcPgdkuUz meG8+N8S57E2nVm/7jFKu/7FadVEsfpnBxPsO4WBTTH8kiFL325tmJsWDHO9 OKxrrIXv+WGIObUdNV6OtL6wEwaOBqgOH0irbmmUj9gnKW+7Le5KjLjU3oR1 w46h7k8PlhyaQunf+VTRN+WmyERumhSLJ2M69sgJA7E2W4+dYjeIujtH0H53 MC4Pi+UA025smfUSHws9eVFPmnbmh+F565pz3oElkJqtw5kLrDD20TvRvseI h/4VcnlcpdgZWo77O/P5YK8pV1VGMn78Jlj7mTM+sQuK/m5BQVsz3kab88gc JS55vBXXOjcjbOhTzO9yBXfeZnBTliylH3hj7ugbwmjzE3HI85aj3YmDqHXp eJauP+vOPofHg7nwVOlJO4OlUOylQs2oOPHOI4k3FxVikHR/pq4Io6ZaFB8O +Aj1lGYc1DTg9gAJP9pFEecSeFT9EL4manJLMKC3vEWs25vLHb2K2JSzRoSs 8mXAKE2R2zxBnNbKocrfPzCPUWKlei2qgjS5baeE52W7cVLQWOpH9eUe6VR+ nl6H4t7RJMdQb9lG5KdHcISHE5OGrxJ1f+K5z/48/HRHUzvNnpIif+51U+Gn YwNZ0urCQHEPe6Q+Yl/dJtyYkoTSPZ9EdUYo98Rosr1xm4iVsecytb/YIV+L /wbo82NtL87cks6uHw+iNa2DwSOPiC//0qBTtxg7vOowoWwy9y934U7fTixX NeKo+x6c1keNsy/K0kaqBko9L4it70LQFB7AtOV9uFlqBWwuBVIl5hNODU/l V/Ph/FxWQPmj8iJWOhi/2yV83N6D00snYYBqJPte2IxToxzYdtSM4zU1GRBY gyyVD5LLpY1iWtVUscD8IVYcWQVNBROs3BbK2lQnSkYeRk2XKXTrP5B/1d0R 9V2a/hfb4ewynC1qXVih2Rn317Viix5YKd3BgDp53PAlnfGtMvhRYsXlh11Z oTcMUUs0qXpTl5u/KbF8oMCsy3KSgXVenLvAkYl/cnlfy5I9y4/hfOw78X5s GsY6mTMO/fHBMZydw35g+pNUTtyVzV6HJZyc2JMJC15h24jb2FrZlw81fkqS r92B11ZVql5U4IcWXz68OwmNgT3pvcSVZjdX47vGHiiV9eIT2WBG31wGt8Bv OFJsCXXTsXz2fZmQXZVAR7tgEfKB1Jn6AmW12dSN+IHni4Ogr12OgkvevLXr M2RPOdMA90Se1xQu/6aKnu7plHTM7hlbM3pN78ctl/QZ55nO4/sHUqarKlMu WXFrtTRrJaOpEV8FTftmLPXaJfGd2pcjDe2Z9SOM298eh9+6D2h0iuPudlsO bn6G08czxMfSA3j8+DIsH0th1bFqdN31D08emTO1hwKndCvA1u9ZPLx+KCcN WYcuRwRtpVz5OqATcpYsgsTHi/a3sunQehHn5V9A9+EITrPeBB0pJz64oS36 OFhxncwZKPazg9aCUvhX2zGGYRy2/Dig1AaT6YV8YJ5KqRAv9Ch4CJdrA+nl 3R+DlDXYfsGMK+qMoFywFfM0VfludE/u/VfEXz3rMXeqAsNOOjN5VDzVP+oy qqQWVmX+HOw6hDWL5KDo15lhS2z5TS2Y1WbK/ChXjPUjzGimak8Z/4E8MG0I h06cTNdsa2oV9WFQcJWIb7HiOBkdGhjswJvO8tjxTo7Xj4TxaEo/bnMOhv/Z S5h6axAeaHlxfU4vjsqcI2k/+UE0PXuNF4P782a5L5OcOklw/ydWewzFVr8+ bPKOpEqXfYic242u+5S4U/IIxUP6YWLmaM7JVGPqjRxJWtUMSL8/jeK+a50i /gvA0+VPsXFkELdGWvOaaR0MJ56Cn7M8ncbmMMV2K8byFEZvjkSrtDvz+9kj 9W8odB93eFBODeYcHUGTrZXwftKJHnP0GXLdms+3WnDHo0JmZ1nyTQc7ufS0 wammig4W/IG/J7di24XVmLrYi8WqBty44hrO+rZiWqIHrcuS2C5dDv30p5DN TP5/zlljr8wNzdtxcHtgR77K8+uAryjt4M3motfwud2DaoX2GCWjwu1juzP8 2UK83nEFi+3f4e8UaRoc8uB0vWAuU81h/ajJrJ08E1l3+rL1xnFkvT2H2KzB OB5mQC0jR/yY1AUrTNw45fsqjMztQy1zQ27oqUvLuhEs/BzEXv9juN/HRXzP A1gbO44OE9fgYxc36vcw4cH962CnrE3zw/b8t6uTeD72heSTURb36yvw2q2n QvpFBi2evMGNLCvGDBrN9k/pfLU2huNPP8H0S6Y01xvK2JLOsE7JxxXpapj9 8GLukcUSr22urC335EkzC9YG+PLZ2j1wuzwblcpZ/GzqTsXN4fy515Kuw7X4 JlYFP9fuwqHTTqwycOGCPemITJBFRidtIea/dQ6yvobQvUvQXujPbokL8WPf YrH1mTZOzf6HDWELxZc0S3podtTkkz2+xluyWOu+qJAfJeSrfmPZ92SWGpTD M7obrdb7UJ+jqV9cBP9N6jw0dDIPahbB1bhCdD2pxNsNHzAlW4YPPtWg87gI DD9oBpOVAWxqCYfe7nMINJaiZo4v4jxOwKhsEndUt2KBXjniQvdDtdsIntLs Cf8Pr7GiXyCHhHsxfnIEC9ab8vpAZRaEf8epY98lPQynI/TRXcd0vTpspxkv uXbnzwNutFhqybIZcsJloD+9TnZhueFd6DSNpfBIhL3UY0zSmcSSk66USn8O xRmGsPzaW8zVP4QJ45cg8pMvj8kXQsZqHJ33G3D8i1D2+zAV84Lu4+aLFFQe L+KB+4Mw8pMfvQLnijZ5L77wFjxotxIWb/6T5LrocPkbExb0duapWQ6MUD0D 9c+z4eoix23HVVjbuENs1xpH2bUjGKx2El6KZpyZXI8QmGL12+9YNU+CD3Xp 1L0vx6bnfdAgSaNKrhy1ekxAquofJKftwZ1OY+F/M56X7uh37JppWFnryzmj BLS8srinXIOzNcbxbf4c8fBYLlf2e4LeGTZImtuAcybrMVjmlUjN78GKPC+u NYxi9qFCeoSOotUzKxhdq5Eonsikxqrr2LIhi076KjgqC0S52OFN0SB6qqwT k527cfjwrzDyeIPd/xL4vjGZ3+QmoI+FFX3OWaNn8Ryk357ASV0M+f77Yzje DuNiP08OD8rihcEJvHhQBZd/dWODvCYr5Z6g6qIap3j0wOa8I9i4NBW511WZ 5twAmaOuOLJeHlL1nSXtucUYtP09ng23w4KC7nSxT+O390NpvqU31xmp0vSc CY7t0OTvHicRblkmmZOrjWvvHTlGbaEI+RHgvHtiBq6qrUS/tttI23AXCi5f 8GnmO8jGNcBijzl/euQKk+cdHu0aQl+3cNEyKIi3LXJpr3ke8dNcGVLhiafj C1g1tz8btvbnpz5R9ChqFRvWOPPbzioc8QzlnCXOnLp6D5ZZxHH2pvWYN0yR O4UJrxy/JVQuJ/DzYkuq1tjx7ZkyaFc/xqpFXbBbvS9fbxoIe+XXuJQe7bxO 04py1zL5I68LXZ/3ZP4VG947asJOjb8xdXowVqSCc683I/ueE+WrJ1PFwZjW TyxYn7FWvBsbxQP9knhYMYLhBwzpVetKg79TkXpvLF4/a8brohRW9CiWGO/M 5QrVhXgiP4lvJ+bTpmU2nKo9uP80uHzUQEYtmYCoCnUuKcoTI1SnCqubyZzu NQO9n92Hy9JojlLswhHOc9Fo8An7DV7jf/9pNDq8B02Jg1hu68lnN2/Az/C2 2NgtiCeiCtk2/h52mATQ/VG5ZPrw4bTUdqHSpO4MnmHNA0eLMcTwOMrarmNb xDcMsIrms2O7MefseRH26xgO3xyKFz16M6l/BnWzfuCUbyl+a+jxhkMlnM+l sG77VihqbAGt90k8fw9l/Y1YYdrdg3sad2BP2UAWn7Kj4j9/1nwNZlb2EeS6 9+Unl1hqbTggrOfk8+r147i2vQhtfh13pjGF2V2bMYyFzPnZhgt/BjHXdDxH 7NuHj45FzD37n6jd4ytGeeWwu6Uvbq9V52llGS40uIkohY0YN/YjChzIzRsc OOPbV9Tq6cJw1RqR0y2Sh+vuwPFWNApLLfGj5hYuj/ZlrP8X8fq5O0vGevN2 n2K8Oy/FmMeC1nX/oUz1F44dCuQlN1c4XpUw+dpSPNB3hGHTVEj2ZaFS6YIk 6UR/pDg7MkXjJzT1elJ6YQKH5nXnAKe+9DnkyC3bdZlaEM3BNeHY7Nqf9nbD sUU6gkVLtPnqrSNSyj9ix1ILfhhTDL9bw2F/vTMHTZ8HM5l0Vhp35bOhNrh8 6ii+ibWYcj6CV7UXwalxCHNbelOyS4bn3/eh/O0FqDauQPdlY/mtypOneyRS f5QT++tOZsRsAz784007Dyuu+mvHgSeNqTFel9W7D6BfvIIwMvGjbZgZY0RP 9lyRQfUtLXioYCk852nx1u8OhihaCOvyAl63NeWAO8UY1rsYXVriqSfXjDFq SpJt7+VpmeePX2vyGfvzMiZr29Hx2EX0+tcE8/vzEdsziuHflMWuEalM327K V/3UaeiUzX9jClmmp8VNd51Y+9sLbVJL4O/1CPOydWh3NUJy8I4yu6ydgujo AYz8/AqjE6X4eksihaEb41M+iq9SEk43EyxotsHigjh2GVaD+nofpq6ZRNnA fSj+GsL7gwvZkpnCafLtOJzoBstJA/m7oRVxbUN5LGkrqqZKI7gjX/cqfsOO aHm+TC2g04GTmLF8m7NzsS17/Mrhwcc9cHVZBwf5b8eNuSNY2aTKKY+mizTf MkiGF7GoIpJvfXbj1XEnLtdw5INzvThU3EAny+HMtZmB9AMOsNc5h8XXJvP3 7feYX11Ia/8kllm9x6HjjZJTa6P4XtudPm+8MFDVmP0evQNmXMdqnzj2CCni 4sRiKJ+azMzsBCq8NaGxzXD2vAWWyL9FZF0htmrfET1ljuJ6lRxtatsxzuMw btl8RWDraI4YP4IBJ66gLWILMruk8k+37YizX4OfTUP4+9B8PEt5gqgrS4Vz 6nVhJ5vi7BA+nmrPUrH9gSJm/vqOL2ZpHPDvDi41FrDvQRlm/NDHQu1wMWDV RjHuqQlf6QwTDV1u4Vx7X14e5MLjU39jSPcEql7ZhFcDgynbMpx+jcY8a34X VinDsDxiDzYqvMGfs0oo+W3Ef5H5vDmyEXkre/GdT4N4nB7H/LNnobNRgSPa 9LmhdAy1NU9h/+9BrIz+gVduy+H/nx9MsrVp6mdP640mPN1kyr92iVy9Wpo2 8x/jV50C/7w7gBHqtvz+rT/LWky41l8FF0e7MXZpjXPFmSlcHzmEb7AMixbt c76i4gzPc/OxYsJjmMXb0i/RGiV/TBjR2o+NCpPYnngF0dONOdTvKGor8jjr 8Hio3z0mMo/K8ltsFVxaY7FdoQW1l6R4wKMbFuvKo2XIX/h0sOVI706MM1gA 85oxnKwuQbHcJEj76KPL0RRerVbEsvn1CI14IsoCLDj4UAfDvjZkqNREHHyo ym6bI6iT7cJT5nsFy1vxqyqV3m0tuGJ+Fr8MjHl/lSxSq7fgVPVgKA4fzwFD +yA9XRm74vfBWu8m8M4DhnFmXPMgGJGr7XGiQI19M5W42DaST6QCqfH5E2Jb jTFDTYZx89LEVP0v2Di6DUGK0VwUGE29YwnYpjUTO4btxdX0z+KQD9gybA42 bB0umTXVjIWRR7Dk5VL89OvBuY2Gjn9eKFGU1WLfqQrUb3TDgPqX4mSzLKt7 htD55TcRf7ECtZOtOCPkMo69kSBmbXfx60CMxLVkE7JO7BIztg3g5F+dqDJN istM9Disf2ceNZRDTMZIKt+xgN7ATXgz4Rd2Dh0ufJ924ruEQtilzERA37F0 76EJ87o/6DfTmrKNe2BXoYvN/bqz+GQFEn9G0l0/lp5blsHrdzWGHC/H90Xp 6GtSgZeHvKAxpBNuXi0T/40cSt+ZSnA9eAKT5cZgO/TpuOYhhke68oprOL+f MsLv5A34mziaF2bsEC9X+GLP75+4GuXI1nW9aZYayC22Q/j+1QAuGzqQpR/C GZHlze5V1pyqmNHhyJ7CJKQa/U41iKfBo6nTvg3Tf7wXt7XuSeYUjqbp+WDu uDYRJcHBLPfSZ1pImWg8GMoBR/tyVKIhpfuMpOuFdvFpdgKMiuS58d9YWKfV Q/P8AK71tuQVWFLTRhEjE6WxU4Tzz8Y3om1GPZZcHYCGDrY2vP0V7/+OgIZa Gnc8+41Bbrlsm3kMu2xs0Bi8Ej/3JsFqVSIVd3TmlwOxXJtjz4MFt3C3zZK2 rwZzj1Qka1yHs9I0hloRy9ALv7DpzCYYzxecf2kvVl+xwTz39ULI9BM1TRqw G6fIdJGIB929sHbMR+S9cKJMRA7TqmK4b0u6U+L1bdB8PVusBPhjTGe6G6wS Q5MXYU9lOS4968lRc34hbtx17HsXCfVbGlSZ5Aj328+h8TsS+7z7MCB6MrLm G4lOJSsw2yOXZjovRHTKaKbpPRCR0KFJ+2w0Zviy2UWD4UHSVO/TkwVDO/Hq NFVObHvgdDylGIeMtHDgnbK4kicY2dwF+5ZP5svESQwq3wrldcOxY2sV7CYH Y0roJvz50QDtXfnCIfIQWnz6MP6eLhYc++n8x1iw0kRwgr8Ph2Ysw0NNMzEq xg7sHYO81T689KMWz4tWOe++Zg9J4mR+e7ASPiFONN6bi6x3aZh+eKP4UW7A VLW5WL0vkGsPGqHglwslnSeyl6M81nxWht2OORjRPJJXJ8xG16xcah0NYeXr LdhXpIgzC+Mo3kzkspiT2FhiKtpLT4g554vYXXoFdIwNcXmvMe+8mEijtmK8 TRvEbtmR3DXWjL7uyqxzA8tGSJh1p4D5QX/xtDGJDn9eY43US/ikejHCZ444 PUSXp4zrRcqySP5KN+KQu9qSby/taL+wFhP9pkJWWZnvh6+EJK8/B+iHobx8 LGfLuePIkwlw8/bnmmQ3Tn59A79X92DVLmXO02vFCJdOqMl2hRidyESjH4gr UuSpX/3R91sdBt9zoLPHXUng7Vg+7JbNqVe/Cuw0Z6unDfrWtOHPqzDEDYjk stT+bO2agYTSYXQrnSWCLJrFi9k98K3SlJv6GaHbeReG219B3w62HyGVDWfd YC4++BZ6I9KZIpuETX33oTr0GEYNuYYD3zXAPfaoPHNeZCfEsNplLgz3T0U/ P1/sb+2La+bm/DL+gLh13RCZMj8ht02Pc0Z/RmJDBI+WLsWy9d3o3TWVoSu7 8meop3D7acVny/TwpFiGKsdnY/LxRhikFfLooy5Cz9BPLK4cxEPXyGHmndBv 12wMylGhlKOg3I068TjpHBxHD+WQXDsGPJkq0g2iscw2HYtvTmFqwCDaD7Tm qaoZsE2w5pSpPWi00obanb04fFU2uy3teH+XJtHQ4s0Y/0CUia5sOGTJxKF7 8HybMz88Xwz9+pFC6pchDSrroTJfhbZvhtG3ZBQPrVBl2VwH3jg3hZM2lMBd Ow33jitSeVI7WmSt6SPjidxoOQb1NWeNfyrGTzdC07jfogj3cHh7EEfIVyCu p5tk/9xpaH4RRbtbF6B9JIStvSdI4J2ML/tjqDqhiOeDv+CZ8ORy/xvC69kC jFPtiuyvTjxYHQ+NuM2Q2dCTrRmZ9FHeixCHnpSNMaW3eR7n/lXv4Lo+VFfT pU+zDM2cloiYFcqsz07iPG9fsShiA170M2TSvHP46pzKebGL4JETTP4oZM29 JH5wlaf15r5sOG/Bgl3qeKw2kX8bLGj85xBivm2AS2U39pLqxtfu3XijdB30 St35b4QU75qqY93894g7kik2XqZIOhLFYcbDGBkxG3/fydHyiA63+07g1+nh HblRjJ3jR3JIZDfKV2Ri3pYiJryyplZyGWyTFBhX7M2hditwXK9ZeAx6hpDu exBltRxZp4bxb7dYtJzVYkDeALbHOWPklVjRPWu/2D9XExu3g59m5jElYzTd Jy3BhSYvFs/oRo0e7txjksfdAzKY0PcYDOU2InysDIZGu3CetTeVpTM4J6Y3 nxc3o1hZihND5Ngm40s/vSGsaC2B//EOjlfo8C/JaDrHGrHbNQuWrE1n55Xd GFbrzrPvfkiGr5yDhU029A/qDzezMN44uhtNB2Zi6z5Thp4ez8cPvfnYY4fo eaCI7wKa4D12l/A4pEHXfnlCVzeHmz5XomqbEeM62OZptplQMRzCtWjF7Joc /jw7hFqXbbjxwDcctPRkYXc9NuxO5rSKwXRvsmdBiSwaMqYh8GoKqtyPwmdD IOdd8GBPdTmuPVXAY81W3NWpFbfv+aJ8SS+uGpjDw+kujCk3o6TqFU7P7MUe XOg8ano4yt9L+EmyBMkP29FkmUqX+i+wb6xEcZkvN4xw5s2VRnTMqMTWhZqc oz2S1wtGUnHDOK5SUmHw2lFC6V4Uxt+3YqHpPtz+8ALSyyuRuhNcWnNGsqC+ EkFXDmOcwxah9nI8jXNd6HZKlQZXhnBIqwOGNyhgXJCUkOlsToXe8ShYIMWP Gwtp9e4j2j73oUPMEqz7kiRO389n1V/BXsd6cfipnizea8mYyUasSZ6I6t11 OGku8OroVaH8IYpHm/RF7YMw/s1fAI//+rH6lz6vz5fwgk84xvRL5WatcmT8 CGFUbAg9F1+E3RplunWOpKRyvuj8+BYang5jkJuNuLihL3MtxiKjg/U9Z/Si ZHwjFk8xpfSQk1hsDVYoeHLxKX+e3qDDEbv/g/LSkQhubEHfRwWsXj+Iizqp 8c/bDo4P+CaJiFkPzexcVgSOY4+kKeLKoT14ssGb2z8XMmb7eP6d406lIsFD YrbIiw7j1rYxbNqfxNsO9vzxzZI1nra43+jBkhpvur2IgNqliVQ8n8GJBw9h 5vW92P0tHfJ7Yqn9U5qlocO4rsc87E1IZ8irXrTzbcQdvUIuWLFDkrX+tpj+ cwEKDeX4cmAgIl9exnoNHdz/ki9sJcFsHiLPc1p96OetxVMXNwlX1GOwn4Re t0bi8oJJhLwUT9/pzBf/CVGk7UKTR36c/yycqSpR9O4k4RTHfE5omIjsZ/J4 q6eNmVc6+upLAJz6BlM5QZ7L16fRJ9mVZ01K0dqvK0/6zMJ5v1RaDrVnWHcV xP+So0OkGZ1SCulxcBTbDo7jSslq5J75jlzlMOc3Bf25bog3bTvyeVXmGvzo 9AG/nL/gQ5WdOL76BRLS1kD+ahKy8gUfDZ+F2nEL0LREhUdHRfPcqAIcWp8C lQfTMK+bIascM3m4NZxtk/8T1VL52D1mG5pCwd3rSsTw7DV4WL4JW+WyOT5C Q6ztexKvFyuwcddMsdpzA0qW/BZZ6904U6UUr/KO4uz0FsSrTuCbTnkY2X4W SS4V6G/cjs0Z7xEdchCS7mNoGTeYHxX/g9Ehcw7K0aXtNQ+MkfNjyhETJhmM FQsPPRFnPQJ5a9cwZr0bgb7vqjA/q4COwzzYNmsjMlb5sjD8LTQC8ylrNR31 I2OFbfdMvvuWSZnereL8WQ12Ks3lIcOtDr3njYfR1TRmjAujfK8uQq1ckWMc 8mCyZDrOWfwWDnHj+GGWA6decePjZfLMt9Bi9ZpQtFRvEvUh67FDbRh/r/fj 518TaX5wILekZ6Po6V50CdLjo1OZaNxuiPOB6ry4dYOYNu8iJhcn0T0kidWN enROlKde+W+RW/IY9/t+F5d8wvlpggxrdxxErus8fMgdhKZwN4xZcles3O3N YykqbLfumEXzb+KL+hes29aMMaXT4DDyARI/vsfmlSew6EgUDJ/250DrA7iy 1o1ILxUO5/9hlF4qL/e0ESM3GOPSsMlMU/GlhdEhPFimxMYOR9aJWiu8b69D 94Yq3Nlz18mtoZBdF2hjWlsOW7vnsNgDTEyJEi3pc/FfhzPY5utzttFkHHVU 5Z1PSzE/bDvq51tQRqMfxX1VlmdbUzp6Ki5Jv4Kv/HzhLa0Kl1t2wrjTAywX F1E5/yw+RoyjQrAJqzq8e0pCA3Iq5Glk05XDtSLQFgs6eo3n0+0KvJk/Q6xY qcitpiWY8b0EHw7IMk02n1s3G+CBwyax3q6I/q4BWOZVLAKi5cRnHSUavpsJ PQNzRg+zZ2tVujjskMKungmY2WUMdzdOQb6BGhRXDWFKsQdtC+eBi5VYWmzG fNtsVl3oR4ltGj4sjBNzPg5itXoTXn6LY01Kx1kVRmGNuiJDh/Rn8sVUscHD lYp6cdg67694lfIbXuPa4LlOgY9UHPhEz5ONsY1iQ38XLi7ozuA1YM1cbaww tObsUWas0sviK4NHcAmM4cYfXtjz2YT9nA7iTE0/xJxZg4wjHmxo0RN6/+ly 73MlZjersM/yufhYoy4S9pRhe9Z+jCvTYnzEbyxYoyVa73+TuI3dhD5j62Ar 7YecJ1b00zJgwmNLdg5biJcvRvHuS3VMuvdH7KvO5fy7AchxBCfen8LkKyeg 2t1McsRpPLu2G1Ep5KxY2S2EJcZPUWhmQ7m6XPHI6yzODr4j8f3yTLx7kUyX 1zbsOuYrFhW+lPiYKbFuTwhmNFlybtseHOqo2cTmBrG/3o03ze5i8owp1Nml Rs3py2Bt+AUjV0fwR81V4VKgx3O54fSbG88592+J8hNPkGLyCUGfzBjqV49n 0ZfF3EsG/O9vXxEU7c/BoyRsePwMDfssaDijHf2nxTMnVZYVE+I5erwuog73 FlJhwUh9OhY+Cl3gs+2kqJC/ISL/jsG7vQchq3YPXfdNZF/bJzhbuxLPpbXp bp6C1dN0+KvPJGaWnJJsjbyGaXek6d51BDv53YW+bE8abJKn07BsUXdotUQ9 RFEs06oTcW86vOiGH28dzKRp+xPH4ymyPB2kw633A+jdfQq7mBvw0xQ3yl8Y xHyv4fw3yo7LrWdB9soI+JvOFSlvpuLNdTt03xtOLBnHy8ma3NowF2a7h3D0 7R8iZpAXXF/7sH5Bx902RRFvUhlXSsrsTGbRkhQ+VZZhuXk2L94Zz/H9B1Gu LYwB8zRwRCWQrzTiGfhDA/fHfOrgns4sPB/JaYpf4dd5MtEvj5kNWjz6ZQns 3Qfg5OfvwK4jYqnKPEgeVmDMq/MwPGTLXrt94LJrKmIeqWGwRjkK9A7CVccM O2xnierHF2AtM567dzejRCeBJUjGf506MX2ONDut63BvvRysKXOm4o1laNFy ZkCwLm+3S9DSxZCxP8M79tQ4JozWEG6ZS1FwfyStZnZmleV1RNsr8k6rKyXl 5si41/EckyNCtrsdp+zQIA1DuKvhAj5rn8F2o1CKjCMYGVkC6e+74arrxyo3 dYm+xljarO7E6BuncdNBwrcrGxETUsjz4fH83Voubv5bLJKPzBBJDp54Nb0V 1FblhB/j8ao2gM15/v9H0Xn45fj9YbyhUiEqLVLSTkWk9ZzrKpVEtDVp70Iq 0hCykpEVGZE9khXZW1Z22ds3I0T2CL/n9x+c+5zzua73+/W6n/thyIfziHuo yCNyflRaGE6rlfVQ1DqMl4bDafZzH37d7suFR4cw104BqYEdaRQSwbK3udiT 8QLyAekSw7xdkuQ1VlznnIdDFedEneFqfHANhqKOtuSwrirzxl1F6/w4Zl1r R7dxUWwzq8W6eB/2qYrigZc3EbJqFFeYyVLhQhJrRp1AgV2FONQcxET7RzhU GU4zcx3e+7kbgcWV4mmWPusCr0HyaSPkDeYhsCSZzrZhzIlyY9ukPxhqM5I1 o1cIl3/BnBERwfXTHyEfA9BhrhUfvU3l3SRz7Jw1HvPCu3FuWp04XyAQEvcL I9tsuVQ7hGq9TTh2VhFjBo7kAg8VEbBlKHJVX6DcsQa6FxN4dWkf5hT0RMZg 6V3NMUD8QWveP7wPSTXlkorV3VBw1AW6wydz/Z54zhrRSUS8PItDO0fytpoZ O0VdxYo1+3EsRZ0a45MZVftWqJT7skvVLFROuCzkPb1E/7tmvNp2RbgfNWf9 xQ70vVgjqQsMo+WaIlotrcKnmZM4JgscI/cHe5ZY4O+cUmhYF/K+TDOeViTz XLuGkB18G0VzMyHZPZohu834TBhw4ekQWthlcU7xQ8mwRAX63U5jtJMcfsYd Rd2pbgzuE8bIBZUY+Cmf70Ly2KI/nGptb5B/3ILLteSZ1b8PLRuvY/9HO6bl LIb/CycOe7IeVr4+dJubyZp9PXnitztbX3nSO+A7zi8+J9xXOXKgUQSDnZzR PNFUWKcN5hjPAxLn6YvQ9cB9OHmFc9dKB3j3vyyU8h5gelIo/+WcQyenfJ43 u4pyQwn/pVehoSEAD25VYZrLQozTm8xe8n4845rLCQ0R/Ol1QqRPGMwu26V+ tHwQdV7nMGfEE1i+jWBMYyHGBPRh/JqbKF6kx2/+MzA9/ANmL8+jk34+O6a/ wYtFvlS6pUd1LRdWbdopUX6oiuc7w3j7lxbuTtLg1uPJzJs5AI/35VAueJdk lcwXdJObwCNLfkuM9cdAN0abI06ORs0SX/qt24Iwj+6s8Yrn4M/pbA/uxl1F RfxjkEKZv04uT0zGUGGUE6sHa2Pv2n0wj7RFtHko+2/uxlvN9kjKHcHyhQOp d3mUlFGdccJoM8qC7AETE+4NHs6occH8+U+V3cclMapEAQ+qmhGWAipmDmRZ 0Fbs2zhZ6ktKXC6Xzic/qlB8QNpPJRl8tzeXRyiD3qXS2Y0bxx5dC9hzZW92 nRLNXpp7Mc36JiYr3sH2963YZK2PjhPHSc90CXqt7kvV66fxxrSvULx4AM47 zSGzx0Yyyws8Yt+JL/d2YGL8SFgGl4qmRDvOmdmCdSNmimcdjovKDsmSK3e8 afN3KIutt8Biy2UxfOUY7pQbgo2V54XXxhDOrN0ozYVf0O7TLhQXunD0+knQ dHyGhvQfGBuwR8zOi+eWQboYeNMYKVOUsPGAMt1CjkM1VR2VU0x5+sltmKdF clCwIZe6u3KaqYrkxyhtDp+8Bc5TpbyxYxxavo/nuUPK/Cx1PxmHg5inPwNB V91FF+lZPYl8hzfHJrBroymMF04TezdOYsKDIoqbjjQfeg3DDEKhVRLIxXlS R3+pT3VXGdwot2IHUwde6eLMVxelPWa4Gcvj2mAj8xGani60e7EMCeGGIvjP MvE1ZygnpT+Q3pEirsx6D8MEa/xT7MR1gd3h1uUr/ALeYnHscBxKUGPGFF9W fYnG45IlWHzBEQ8Dbbnh3V+UdJ0PzQgPfGr+D5NnGFAlMYxLTp7CtN0DOHxV u5hc1pfXXZ6haasML1ZaUr1+PdZXu/NJ1XN8698fMwueCuNfYxj6O5mnPk8V 8dvNuU52Nh5/moOrJxphnflU0hqaw2Fq+WxLuSr6mA/iivbe3JV9RJwb1pOO 6+4IjTJ97vicxaYu6pjXuF4yc2AFShyOuCzKDcWLr6li6dZsXphTjGhlV5xO NmZxnzoUXfQW/05O5NdvFbCPCpJy/Cbc+CYvehxdiSNPzBhVms2oSiteMpKj odlEGO2JxEfvLhwz4KUY29UIC9cqslFnJkom23PYFV9mvfTgxqYbYo35WHQY m8v2jd2o2zwNmiN/oV7VgneWzIKJlQvi/q6G+4AvMIjpDP+ERqSsyeaatjgu m9CHwj8AwYmbRXiKJ4xXRPLI4170uB6KZ1fIqtDtuJayUqK8I5FF91MYGrpG eJx2xnYZGXa7FEm/eeZc8bYW+OfK+vIayUX7mbidMxT99T15OFxI1v03HVa3 ZmBLbQT9ohwYfDaZq3tMlVjazoTacAPO+deH9qOM+V33LTKWlYjEbfMxPmQM 69r70q13ER2/duX6+aEccymCx+0ThNVwL8JSFwerdTl0/A6M8C7G6RJ7vjnh xQGe+fTWnMjY2h50StTj0vZQXHAZzCWFKgzSm46yCllW/F2AJbqDebqqKw/c 9+Lfq7PgttCMx+YO5M24SfTXKUNE/EfoJ9wW6t/7c/nUVei8bjDe6GVzc+54 3nVWZkRcFp6qxfL5YiO6/5UyTOknLLqvR5eTRUyrFtCXurNcfQ+ufuBIUXcR W++dweelexGedwi275XZbvkVTu4TaXBpLVybJ3KD1ygu172M0VM+CShasaq/ FR0LXwtnj2FcnOPKLd1z6RsTx08nwjEhCvwm3Y/kwv4I3bxGUh9uTtv5mRxa 6cUDq+2odE+Tk1JV2RpzA3KXi0SZbxwO/GnFmTvj+LdvIh8HNKHn2Blo9BnB /9SyOaTnejFnogw3HS0RT6bl0TfuDs6gP/oP9uXToJGM3q3J+zqh3PvtDtIu mnFAmAecP//FUWt5/t6bQIeWWSL4Q3d+surB8qblwmiVMXf0DGTI2/68bXQO MTBh2QdPmvSeLwIvq9NhVTyoJMM5mj9w5/lNIec+ipr7yvGyLJhup8az2+/t YpUoxDtJLVZ8jsK9+S3Q9FBgZHm9ZNSVHghVyuGmsUTL+hlQTPiNlXlJdMt2 wC3NkdBeHsClndw5ZqIZd332xTfdQLgd7svCx/6cvj+AZYePSnNrLZ5sfwaZ WdL+8xpED881cFYbx17LpPn1JZ7TlgXy4s0F0BhGdn+SwraaJHr/q8Uqhxj4 RGhw39xIvtvwED+fFvGle6iwf+7KI5fXSR3ypSReqzsdl1vQ/vR+KYPMxuTT UdD9qQ/NP9sx/7k1plqlQHuQGrvln4Wv/Qac7mXDxAYPHq+uRmrrLmw7d1nS 2npa/PonzX6ZbPKzHR2Pm3NH6wj8VdosTitr03qJOofNq5bYXFuCWzdyWNKW z0zTPE5Z+R6ycGR18UYMd/TjjanbcX6bKvON+zBrazkGDG7AyfvNopfJaXy4 05XaVduhMseJs27o8HiAGtY1d6bZUA/eC7Dk2n55bNKPgMzmXZInUyZx/MUh XBwwCDPzU/g86S36p8UjaIQRj/17iOV619A07R4cpg7kwYcWlFldwLAMb27S 9JfsbiNTn4/mt53/4WbHB/B91oly5qdxOVabgaIcHZfOFvtXxLJbWCz3S/k5 WOoVS4I1qbP5LtDUmWcsuuC7zmgu7EcGDFqIsL39echpPj5fnYDwW7n8NKM7 o9Jf4ljaPBEMT+b2niV8irI465IDh+krIKA9D2z05281L25a3Y1+saVYozsb siVTkDTji8jvMwHjDwbTytyR5zK2irHSPD41PZUbCyazxrENH9NyOb4ph2NS o2BQkiBm2TliaFcNxKruERpzY7m0bh08bU15QL8bLie3CuZV4W3BSL6tlJ7b znr8VBrHfdHrhNebS+Lem/4sNepCNdsYyglnZCmaI/15MI9/VWL2lf8z1Dbx R8aXpU2mNJNy5uj6j0j+9RYGqrZ0/lSCbi292fFUV7HVWJ9lPR/DwCGNa8ws aFqgyAe/nsM/yBhD5oRwRUiz+FTnTl+b/tiEQgxdNJjd2+Q5sTKP3Y27YNrG YK5LKEW7byduTtZj/JvBVLw/E7mXSjG9dC+eTYmj8vPxvP3pJAqG2LBhyAA0 tAzl35dJeKgMnmraKu4vVWXiuePIuuJI/zvfoHhTmU9mDMaiOn1cmbxK3FB8 j7qJJqzodw8pBTbcvF5w5tspHKCnSL+kUTzwM5V9XxTgknMcPToFw+ilETfE lsNi1iXIdDTB5wXpIueC1JEXDWPcwWK8r7fAKKtAkeI1AY8D1Dju0FQkTO5O tRGCt0zeCp/lfrhd352dwrOhEFHEb7svIWr4L8SqpGFBQxbyYpxZ31wnRi2d CeWGPUhe780LJWvgYN2VJ8vWIrCTEhZJOTLmxFCmPDsqhq+YJ87oBVHnSRPc Z0RywUED3n+RwD/HNkHl120UDovl+0t9eb41gKFuRlC7cErcfZ4H3SG6NJtl xmjFMHR+25myOn48657LBy/80S90K/Ku+LDacBY+95dIuaM7E6KtYHnuPxeH 5dfg0hbOWMUDYnPeUxx+vBqDV/SncaSHGN5rD/51eylCpB5xu+UstIOk+T/w KXJkQplTtQkJbrLcYhnNzK3uvNhbAsfZeRxbO5kGm4bQcms9Wm/Vo3FSLH9+ 0+GqH5k85G3O7lrPECIzB0dU3XiuZRUkmYZk70L+M96DuXeUMGllZ04e4Ynd zX2ZbRiMgYn9xIi3utRJMaXG0CRqT/6C6CxrTisNoc6C55i5pCcrw8bwu8pr uCa50e5SBq9LvgJ6c+HaNIi3WzeKSZe7Y5n9Wqg1rMLE7/Zs/t6FX3VKhYGt o9AI2Ip7OqOYqBzILsFhbN+vwA55M9D2057B7VMRMnALTG/WY1+VAeb99sDX FgVJ9AVtfpuxTiifCOeZ1gyO/f9/cN9Yg4vrzGga7cWj3+9L5B78ljxqnUSd j5ms/u4rDaMjeDd2jrhen8vM/dmsKV+AnaZ2XCLNpuSxBzF5cRInZk5i16O+ bHRIoqzcGCFraUr3mb3w6JEGFnf0Zje9ENwe9hnaA8sljcOjOWDseZi8fCgi X8px0UZHzjiUQtW1j3F8bhqPh1yD/Q2pB0d6cuexSVCTuQPVhnyqWQDTW26J bq82YvwlNeZdbJecjYlnuaMZ60MK+H7oamw54MwxQ8JQWvoEwW3GPHi2M48d y4dy80JUh+nheOcHcF42D3O7pTEiSY4+96eJmncatHfzFoaBYzny7U8cnuCK AUe/4PSud5hZtFU8yQjiiufefHetN8/3lBcnFL/Bd1AUHwZfkTzI+IYI3Z5M ih/HPZsz2NOuH6YXqOHYKke8umbNILmvaNrgy2H341h4/5PwL9qE5e0zoeBo ixd1GVCWXS+0b+9AzcPDwifrE6oTzqJkiDJtu092vrAvkfr1Afx+tRM/bnwj dh8YJg5VOeL4aimHb/oPqWNUWWsIQsaH1rWn4B+7TfJvXh66RRWj/a4eTfW+ wG6THgbL+4pJ85fA7nAdvLuew9HxUVjZYou4YwMZ819H/pzuLvk5dxgTc125 Ry0Ya5p6sfGuGueEX4RtsSluuX7ApcYAzpxjxU6Oprx1rAYWi1I5UUuH8ZWe yCi4gcrGWL5IC0FiyQOcyz2LloZlwLsk/tP24rfpMpzqOgNmER9hNS5d5Lp3 Z+suWyx8/B+cbF0RtDKYnR93Yb8cW15PHs6GlxMZuLcHL9akMc1gIocuSIH6 iRB2kf2JQ2MHsbH2ipjoacfwWFcO95VjxiYdppTF8NrpAcz2zeXAhlViz+gY Ln0YwOcz2mARfxY/zubSzFuJV/VUqX/aiO8cV2NdiS97Sp6gOqkf45ePZ1TB fmQYtsEusjvjT9XCekkyb+6P5F6lbCr39kfe7M9iXE8P6kxNoCRTifIH8lg7 No+ZNv4I883HFym/3BhbiXcP5Ni0KJk1c724+ra7WBE1A97KC1Bv8BVjxvfl /tuBzCvTo85dK0YZDmaK+mZJH6UMjrYZzbExQ6n/4S/St3jzQ3ssb15O4bcI X8oWhIrDr9W5uDWV7s8m8Wf/tZifO4E5q3pSr9Edt4Y7QtPMBr1U/VBlNJoJ hx3YqXQcBshLWXrRVqSeMcaWiFfQ9yoke8nwd9IiBO/rShtVNU7e1ZEHW18i 5uM+nNruD9XNstR815POI3ryvcx6+Haxxpl8Ff4ymi5u7q2EX3MpVt4JY9Z8 RS4/aM8/wop3MlWE1nlHRjWsR+vzYCE37y8ih57F1TZTkdiwHTvCfWhyJZt/ X/hA4dNYzBgXyDl/N4nT6yxYXR9IZA5g/d6LKDh9QVy8eRZrp45huIwSeozx Y3VGtag5Gsi5h7ryuMlIEblclf/di+Cqh6rs3D4QW71Hs7j4Dob2eIp599YK 17G70R5ajSPPZ2DZkVOi/7ltIiXWkHOdmjHw9gaYHPuMW3527LM/jxOTc3D/ pD+TDgbCZ6QaLT0vYsGMMJ7V6MjFO29IRiws4AfV8WJDXBf2DZ+O5Ms9eEfK xnd/tkJz/jDq/y1gjwly3JF6H30z4vFf1T/MjDUSi3ZfxQXng4itOy/RWqjC Bp8CTpM9ieGKhZx0oIh9nlXiyM2unFg+nmutr2GX2y1UKMzBlXVRNM5+JNSz LgmtyZvwe+sLSLZMxHN7Tyo/00W36JUYECWLRcv1mdh7FD/0G8BEhe64eaUb LKqceHZPLQJu+/DeLy8aXI7goUojLv4vmH8Kz6Bz90Aee7oRrXcuC9O3zpwf 2ygW3Z+A2rxwnr8Twxlr1F1m1DnAfPYIunt+hWNQf0bPkmZl5lhqBWSz0qkE ERo9eWnzRAZ4+jCzaTy97q6Fz/gbkpYn/XlyvR6+nCpDXksqh02ahm8V7ehy +f+/p1Vnj/Z83mh5iYao3pLpDT5c6fUbMvtWi4jpxlzwTBXeA+XQvOQt3JOX 4/XwQ1i1x4ta34KYlTKUL+aF0aAaksIzqlwVuBUJKcXCfWFXllzfgnaVD0Jm 73vhtuQ1CuX3i43X06j0+rRkeuM65HYklj53FmN6+/J9pg8OWxVLnbw/aipv ILHrddRdmI91L1XJ2FbxaUgC410UMf7tfKQcXoSiPq+xp6gK8gpDhOH6c2Lw vDpM9VDAXcdxPHY6mE2/JDQKsEHXFukarfqx24o3YmtcC/rm/xVO/W15uFMf aXdVwuvgRRgMrhCXNOeKmZePYEiPFfj+aBqmCg/eqHDgwNJc8XVaO5pmRWOz vC6z7eWweViJeGE/mZpmscjND+WWOBPeChrP6S0W9DAbgYP7TfllbzpzpC65 600uHWzkGNQniF5bDejbsh9Prn+A3bAp/OVgxfuoRnaCK21fd8CbT/4c7apI oz1+TFr1BGVeujRZ4s/APt14S8dBfFfypFOAPjf1SuMTmwYR8HAcr9/8hfpd Kdym3IQBc4cz1NiWB87dwa28ZLa/q8enzZ7c26RLz7V9uM3TgEbqR3G1WU/g vTxXmfmKvyNVhXvnSLg3SPvBLJ5KG1x4RdGZb/Y/RWGQLq12qLPqdDJmj1Jn JyszXnt2SszZMAu3Alx4OkWLl2uuSureTkL23jVQ3NoTvzcHMtRkJrrv/i5C pLMw2jefM1LVqOB4HxEWSrhYdwQrtvdErmokY/+1ocTBlCPuDOZ42c9i0Zhd UNlmDr8CczTbaWKSeTrkvlVg8dJuGLPvoaQ9sw7P8At2YQpMe3YEk0o6cNWS PLp+CqfWlT0Y56WKz+u7YkepK38Mv4vawdpCxj6Sa6Z7MWtwFN1mSbt0qixt YorYP3IKa72+YmhLO/54BGDw3ggml0Ecn5bBxkOd2VlBAsXJrWL1s5F8+s6B 3d9FcoPlY8S9Oybqew3mgyXf0atAhmfDE9l5WDqS2ywpPzKDD5YOoXxGOJ7Z xNPAo0KS9NAZGo/nYve4AJ4tD2V21RQ2HBxK95hYjEmMp4XSRE47pcWxJ6LY sbMJS9Tv4GmzhHIJC7FljTSfGreJKR5y/HjelW/6/oXJ5lk4tqAONwo609pe i44mPtw53gf9Pw+gwpYYKqTY8urnn0jaHstpJglwdtwsYitXY85tGxrs8uOc zt1ZUvoZNm8KeL97Pgdsuwczgz6Un+RKXcd+/JoQyrtPO3JwoQp+XjFG84/t UPVfiJf54IjqKcJiti2f3E2X+oQJh3v04o38Iow8aM1w7Vz++NSRp1a/xVMn JW5LUmPOjDfIfOfPz62zMP/SeLjd0WXzxiTu+vYA+6UuFyYzHVG5ZZAdNAgy GxWY41mFpDEXMOHZGCpGXkXfZWmoP3IPMy2j6GXnjZu774nzs89gjcUH7NuX z+6vVFiyVZbP1+qI+HZLfu4YhUV9B/ODjwc7erngsOcucW1/Rz696cLFOV9Q wRU4o7MEU+Tvibs//Thk/12xc6MsBt67jrPXpfNsIF3/3Pf4dCOervb21HmQ yxcT/kM3N2s6OJZCzleeH3b2E9kJLQg39uOtfn2p+1Rw8vZCvs4q4rkh72H8 0Ia3h5Ri7Y8YnGvXExNn2fPZhgFc+nMK44rG8trx8Ryu1pG6Po1YqjIfpy7V YOyHFsRsGEJ7X2WR8CsWipG+uOvUgAblMayJXIAH5UeF38QuNH6uwEa5AVzl Y8ijjxN4IEOOqQsFR27fhxq5T0jScmPvlk54cs2LGct/wOTuFGEdbo7j48/D sUmR4UcKEPxsO+4stYf3djJDY6Ewmb5QvKltRlzyBQxf+Q8h5tFMqten8Tpp 5r8djfSnFeKIeymC5lrz3nkTznm6HX3uWzI++zbeVemIpybvkLQ2gRucIjis 4ZaonZfLgi9TuGbsCtQcmo+Tniug8a0BwU590fllCF9+V+X3Rg2KbvH8rqgL 750q0HKWsuvdy9ibtVx0PvQLU0aWChXjDA59B1Ts2I0Xj65JnDJ/4Ki1N68e akf9r3S+O1ArKmaGYvu4T3AolXDOGhmK56NYqWDOkzMf4Z/BMkw12yPe6Dpw luVtMaloGppjhvOKnIS3Dtki+tQQrnZypKVHNI997ikxSDeBjXw6vnraQ7Wg FaEDayTmZ03pcseAxQ9k2b3dgcp+i0RWpQfi+uyV7Jr6B4dMStF+VInr0h25 MH02zrimo6L1A7y9ysUxWwsx+Hp3fmnyZPSmTM6K0OWIk5Yc4jIIjwJ92VXL l5f8XmDuvjz4Jsrxv241kuLs6yK1+Bnmdj6HpflLcfoU+M5ej0bvW7EtVYd+ tgosPpQoiRsSTKVhgXCrVcSuDQ7sMteRhzZvQ/41S/Zems/C04cgtpDmG4sY nXMFsXwHhWI7tNfqYY1PBBQ9Mvnm9l7J8+zOjM5rFFuebYDqL0P2+PEdcT2O Y351Hq843XD5uN4KylEb4fIhlLGrWvA6vV1oZpag/4I4Gmb344qqKJ5sjOJI l0ie860TJ8pjWLuxB+O2KLPj5qH0kPo89yhR87AKau7mMnfIMvya0ZubnVQ5 p8cuaO5KlcTEuNOkygIXTo3gQascavQhs8OeYOxDZfp3j+Kd/QlYUtwi9ihm sWBoK7pdG4TViwYw6uN6lxIzqackBfGVzF2cqNgn5haGiA92yxG/JAJ99jmz ed0xVI7szoK5/zBCUZbLxCi6jVqFqpWqsBmdymOzx/D4gnosHfUHeb0HUaiG EWemIjWoO280G9KushaVG0zpscuKy/odQ8oUG6Y3vIHbXDkmbFZndwt32n5U ldSxIwsLtPB6WH9qBEXz9vSJvBwZwaykI5i9shSzD4/kYEk4j44YRT23iXzb 0ZTjZgdwv78vt/6Ywqrm/qj+6keLjCL+8x/NaWrNuJfdJKyrDmCUvixGbbVi l7dPYe5RjstnR/JDgB7f9ZZh+nUZWsZU4eNYG66LnytpkjfhQZ9u7HjUBRvb nkrupb6B46ez2HXXjlGusjjXVsij8aVir8sDsfS/evw5rMLBMhLJUp0+/P67 M8NXVOCEphn1d67HpymW8P3nyuvGavxc6MKUKi/Rb1kM/La4M79lFp47dmfm IVPW7SpF/e61OPpIBS9mf0Xo3IVw6RzH5sClotpInZ4hrbh2vAJPFqQi83NP vhlhxCf5uhBjXZkee0BEDtJmwqhgeH76gGeyCpS/WIATVfMR3GMgHQa8Fz0O eOPvizFcxEbUnYtm2qxE+i+34M8/clj4Yx0s7UxRti+Sn/fOw4SNIzhhtRbX v1oE7cna+FPSg9+GnEdkD0+4rs4kd3ow4bfUpV5fQ/kFa6b958cgxwnct8UY t7vvQKX8FJpJXqLzP1n6fUpEoMtDBL6oxOEZtmwoDGbMxwkY1qkcm29m8fgt G/GnugRKjdn0mPtDnBSlqP04iKZRjXi85gMqtrtSPSQXxT+uiateS1Dgmk2V OXF81HQbxS96MHPIWMpv6Miuf4fybqEs96pac9UXYy4cpCm8Z2qyyHQYvg6r lxwMjuCeETm8eXAJInZE0+vlVBSMUMKbqnw+UVyLxN59OSdxHep3KvJhkgwP e9SLBze6iU3nJnBPzHnsu3oZ40MkXKJryX/Fx/AjWwY3L/Ric1gN/jy+Iqp0 7Gmx+BxGnY8X8iXSfjtbA5lFZlzoPEE81J0umWC6FkUNBtxu9hqfF/Sm+cFB zLgsx3vbohC9XsqUi3Wx6fZUrE8W4tmYs1hs3ZNp9QZUCe+Ebw900GQzmV7r H+DSTymDdupOdbOufJXxGBnCmuZtb7GszJgOyjE0GKiCsbVr0DiwA7skjOe6 5zaIFMa0Gf5PIrmty/FqsTTbpUb3tle42g3MD9ajmncWF5xMZZ+uP5E2okbc v6GBttMT+HDeZNaZvcOIzCEUDl2YvDOeZTnSLl9ZhpwTFiKkYRO8eqWzojaf tVny4mf0EHy9AKjFJDJhhge3OBzCSsspvPXYHybVnSkO/8PBXvmi6+TlaCif ivkLs1zGnlFjYpoxh0XqIOHUI6Gi2onlhoY890RF0rpalwO1Cvi9wpXzuju5 uLWP4ixPf148Ng1KHX2ZOtuCnbOfoUwxm4WDB/DsvfN4GmKA/57n0dpGizfW GfKBrIOgiw4da1Kp6/cSEeN8aKWRwq1RA1nkMxqyB65AX75NMkMhgBsDU6E0 +jBsN3am7IIq/F3XnRtOjmNDowFfbDLkOk3pM2g9htIUdciHtYnD3+rRe1Ue hW4fypqNRPmjHtRv8sbRS4bss84ck06PhIvcRNoYLBN7v2jQKv833O5poEQ/ lZ/1ekK2jzGnd80Qg9zUWddBnUar2nDCwhhX7j/Bnt7TRevtGMZYZPGBiR0f LItmhx5FnDg0Gs/fdGK/PA9cOjQGS5b2h8+aIlH21xVJTnegrnjUxfqKFMCn BmHCy+fQXlCCYdeBAkepvz/vzFBNa+pqpTJ7hj/q/QQT5u5Fvy/umD98FAbM 34a7fc5i3qcCcXv/WG5dZ0GDS79xfEA2g+bOQfbOWaj9XIolAW0o1OmLDYpl mDIzlIP8bLjsQARv9pdyw+pteFI3kb1Nd+HW8eUI7dmJKQGhdFpRhgUd+jFG 6xSm7k9m+LRABqbnUUs9kB8kbcKi5Tpsp78WhRVakBv4Gc2Xk9h8IJ4dozRY 0iI4ZkoTPodocO32/3A9YyStfHsyecpIDhi/QkS96k3kHsc42V3i2bYcfhqQ J7QGhvDh2jR2KzwmJn+ciY/aT5B9bIxQueHCsckGnDa5HfsOeDBzly57R15B +PwHmGBiw+Ru2mJGXzmY957CMZ6ZbHGdjfVPtbi7aCD1fI9jfY4TH5amMOTM M7z77sK1pf3ofSSYPaSMqT9rIHWoyTJ/Na495UH3W7OhHFksPOs6icOLvKU+ MAk3VHKE0Ut5zDDqymVavaGsE41pB94g8GgEvttY0sh/Paa2TofLoQEs77gI AW3T4dmzCzrujeLQ1KOi9PdL8bSPAp/kboXXEh902qnE8JRX0JqzE4dDZwmr pKmSrrrAvWZ3Gnw7h3sHV2BFVD4vtc9EnIceFrydC+s/Lvy1/QpeJEyB8rT1 eNg1HRdVY9jZr4Aj4mzp/HAJymvjmdL/NgJpTz2ZLrQ6tkH8u6OCW3vAlYWO vDXBUtxf74cafy+c7lCH6BBilok28tpG8JBck8R68xB+njeFc/6qYHJ4OBq/ KEBDLYqzx7+BuW8aP5SXo/JJFVpKJ/D41ZeiNMiEGhka1P9uz9YPl5Gk6MAG JW0OzbGkv6vA9QBXDH/VF+e/dGFxz8+izO4v0nKPoteCbIQuNaHB2wOiJuck or84caWuPBsLMjlw2WUcSZmHGekPofJvF07LC/6plqPXDXN2SzGh4uJ4kRP+ VDQEGbLIMlK8zxaYs9OYZ7Xj6ZgwjtfP51Ey1pv6OnNwSee+MMvoys3Gibyg eBsZDRWoHeTCOSMV+LU0izmRJlSbsxF6cTtQVhlBHL6HmguOHKK8U4ybVCrm 50+DasocycwFAYxXnECbtnuQ3xRGh1sy/HLLk7MlmbhxoFRStNKc+ZkzUPxR j846oxjUOpldrR8K76f63FptIs6+nYU4rSY0Z1ySKBQPotGVXPY658d0i39I M9wsBkc3QNu/gC+mG/H+/FFIyy+D99IT4tIyH3asPA2Hpt8Ijw2mypvjKM+S sCExgVvi9kBtWjJtda4i8b9wyEufM9/YhF2eOrkYv7ZjsesKrKyP4I5eSthw QhllV7/g2KUw2lyVcdmvGCX5WVMMVWGP5J8hPL63gO9XZXLP7hKsk+nLskhr KvS4g7OftekvH0kPIzeK37kunVMGSpYNU2Hk7f3ouHgwEtsHMVH1vih+exL9 zWbA8UMiT/02ZmNcL0YUd2K+7So80VdiC7yh1yeMtTt9WPOwFjXJYxlxM46x PkXUCdqCW7KHMPCkDTft34rVUtdZejKCk2uMmDQzjJcbKzBxmDkGDzLnCJvD 2P7wI5oUPHht7GdM2ZKLR1fy2NOjAy2/LcdRAx0MjIrn9Q9G3P/hmGDqGKpv XIJtf2NYepi8ecyAEWNn4PdkUxr0PY2sqkxY2IWzRZxCuUM/Okmzsf9aPRR/ 7UHjxWfg7zaU02TcGWWmxnd3D4n4z4O4pawdelVqXJAjzQztAHrnaTBJpwe3 m0bxiuE99Jz3B/2uZ7Bu/hZhUrkD3wtrsDElmTcOjaTNe30m9tWn0hUXZneq QsyakfyZ+BWv9mazW+ovXCl3ooXMGyRe+4OrTcvFo6tJjN2hzNNOruyhsRK9 x4xj3Zl4br+bxJmqC5H7Xxq1f3fgDpkg3tZvwHbZZxLb1wP4+4cax0iW4JBN T5wr78Qz6QWcNe4iVjXaIuv2ZyGXthaiwxKsD0xjhXY2s3cLRszPwou7Q1l6 J5aPzutR1nMOss7ECl3nMRx1z5CHFAs4aMFQbNzRAUVxyqxob8OrtgC+j7dg nVcj7Ec0i/O1MSy8aoeFFyG8sz7C9HwXevS4Ifre+izJehHAdPfh/P83pTIu +fHysAQe01wnDgT1FIpVP6DYI1fUm7xAqnsO+xVOx6aXO9H53AV0OmGBTw2D sVl7OOwvlYkcUYNCMRC2pu9ERmQ0Np/oL0kv78JeM+0w7I0CB93ch4gcdzpp fEXiuw1i9VIpIw0NpFugCR9F+lE39S98dXaKk/3O44a5NowPfceWk148sH27 cIpowPpuUj66bs2Sa6Nx31SGxWv9qLJSHtX7XBgR7YYl7nJsfpfGDc++Ye3D ibx5xQo+I/pS3uqiOBiUx/uyqbQr3oruk2eIu0nSGc9Q5itLcxr+XCa2qFry 7HhlXq3RYExbEF0+GHPPRnOseGaKocMKMPhRXw6dFyzttoHSOZkKj4/OtPpa hbO0Zk9LFW46Iu0FrTLR60ElVC5UglrxbN/WmQf+a4RV8iI0KgyjzcYQFr+M xMuNgVx/X5Py26L4+Ng1vC8bwpJt8fSqLYFpTR5fLNkoXLvZ8fYYOe4IWIrV J8KYa7Aeei3WiMwz4Wbzbiytn4oDq8eh7+xcxLz35bq53tw5fTTXHl4m7PNn YmSAE8d7nsUgm3PoLncKdSGduOy6JT/lVYt9kjje7PkDt3tWwlQpj0p/03gw WoY+F4o4zq4MvO4jWs61YruvDXZOT2f9Czm+POXAoo8aHOaWxfunfHE30Ybl X/tyyroCvLoUgMFGi0XkkXvi0hlNnH+6H28zvak6IxprlzaJcI9/ULt2Hfdt C5gyaRluZdlKnTqZd/odEdmScVzqVSJOGi5D+4kYXviayT+tmdwSIvUJI1N+ uPEQf78q8NbUD+LRCxW+u3wT0Wm5rI7sJPV4M8npSkP+e6XDZ4UTOXpZMx4M Cebll504fbwvZ+U7Uv+8ERekbxaj68gJHUrFkkuWnNa4G+92dJFm4C48n6zO yws78FKgH8MWWrN09CJJ/q1URu0wYsuHe/gmb8M/F60on/8Q45jFRzHPUKDw GrFiNl4ZGQnP/6zZ/UUfjq/RpUL2KGRl+9D3qDr9PxyGT0Evum/tzpMP9Znw 6zUWX9kCl9KnqLLz5/7sYfz0IJwe+WOYEVaLBXeVUb3Nj67JERg92IGF/eag //wsRuosEtUJ/vT7k07lyV1ZXhPDpreLRVy8LqNmunLrNTs4nd+DV3JSj72Y Tnv3ZE4LrUdbpAwXdOrHqrXjpb65Ev1GjGDquqNQ/TCJv4b2g7FGKx5PG8lO P7ry9nMHfJtXD/0eedSc2YF3Nw3hlu678O25Eh9p63CM2R0YVb7GgHhz8Xdp BPvUFdH4Tgit+/jyQFqQ+PXwPhxOTOLAF+nsft5N9NbWotobR872HcAy2SzO itCi/9eBbHj2C6dOGPGRhRILH52H6dwMTnBYg/5tRNWGmZJRdilc8asHtwb3 5P9fH6ju7EmTZ2lcX/UNmsXXMbqLMk4r7IVar2yGT5TApmIZOsVPw7WPP0Ry x++iaOFL9DZrFrMe7MQF01H81dkSO+e9xMRGbz5c48PlA5KpeqcNkonBvHDG g6G5Cvw2MRZ2d2fjUo07hgzqzNe+47nQMJUOU5+J2B7zhUH34zj3qZBbe/lw T/+RXJ23Bx63c+gSPJkND8qw414YxdI6MbX6Bs6ttea0HXPgvr9adLYMZHRg Ir/fOYiYrl24bI8LDwcOB/aOo2q9EW1WPhJfGi7jxQMl5jcNZ41VR/Yw8GaG WSpO3/Flu7BkY+R/yE63p/I+J6RJIyXKOoC9avTZc01f/tUzZMTxXjTqYsIz IxRZm6APz9gfmDu1FZ/a5JEz9RG+nTwqlD5IXU43jjc29OfrSGPJzMl9eOhW PMe1TMCT5lE0XB4mSjuaYHd8CSr6a7FLsTKNOgYIxeFmXN/Bj+XLMlg5ERzx 3IUx8dPFloKDWLlphrjzh4yyqBKvtjWK789rcXtPJJt6V4joFAse3fAOd15o cKSFMueru3OrxhUxJUmf7sclVPviwGZDXUmUak++tNSn85SluB5szS6uUUxd 9AhH10/g7g0WbB43jI3nqmFepUnNp8n0uDyEKflptLpkj5SODxFZbCddwHqo 9jwjvjzWgm50FD1ngO9eTcc8dRV6VVxAWH48jw7aixclI/lPawg9ig15cLwS F4/xZ93D6xgSFiCZ1JTJaZsnsfP0mXjn3okbXwewrmoKD0uz2fl3HK63LMDM 8iqEOajyzYAE3nl6ENPdPuH7ew1mVK/FW3tlLFiUInrXC1QPl/CIXATtVJpw dGk/Dmi34o5y6VmPURXzZnkxKj2Mpee6MPFBpORTpBnjl1XjRH0i10ztTO3Q k3D9pc7clW9wqDxAyP/uyYdzi3HxZSOC3o/CHq9oDplkyJDPgWL5QW3J6sog 3mnaBZ+lGbyg7knZ1edxQVOf8UcWSyyytXgtpwNnTEvAgmeVeKU/AbklyrxW lojg1LuonvdH2FlkMGmeHZdrhnFZ7lXxxnWfxMm/BitX7hNzbyZJNv3I47uA /9BvRzeOi5SnhsM47n08kVX2v6Fssgot2d1p7VWGRD05do9eg60n5JjWvg8v VL9LFg8IFi0TrKnithOPa3RY2vwFz7v156FrGhyhEssj7bGcvS2Cga8Kabjk vgi/Ls0g61rEbRkO4dePDwpe4UlnNza+WoGT/XREe6d9ODIulm7/rmHB0UNC Z5whNR915krrOuyb3YPRUeZsn9+Jni8OCZ8NBrSUdvSbFWOgOfUAPPU6Y+TF S3hs/F10lzK5neQMEleN4szCIVzb0Iprr8twzb5AuhfPsDT4rojRzJbU+jXD RRgwfWApUo0zmL+pE/U2uMBfek/M5HZiSrMtrpqmiQ3fc6A+YyOEmjJzhpSj YbYGlymTfWUewf63Af59nMLWNT8R8LcTK9v3Ymyc9H6UhdAjOp4nrnZgiZIr vsj25emkKH4c5cVpWaO5J2sN4i1ccO3OPvwOWYGGWzPF279ufLWgChmHP4on ShWSE7fS+Xivnsi4+Vj0j3uAq1lBlJmbz0d3MvjUrJA5+eUw/30T6lpd2PBR jQ/ldBm6KwDnIv5g3Oo5InJ5ZyqmW6BDD18u+HUb9cdM0S/YiXumNELO9ZKY Pu0LVEsGY1vXHfgzzptHPCJ4Zn1XtiYuEba6H+CXa8WKiM3C+ukjeK7Qhn2/ ZpFp5MlFzk78EtqIVj11yYfDquL3jxwWbOiANSIKRTbGzI4exXV9d4rZ2rMF /h1HRlU+bvc5Kob+rkXSpn14KBuK+zOCeaNemXHXPPjylr1LxpkPSJ5kwaqf 3SWflB1oceev+GVlLg5bSPhh+g3UfRvNM85F6DrTgR1C92CdmwG7vcvjLQcV rvC5grVbR1JtRRWWdFiKqWIeQgdN4LOGi7i034xF2fq4/x003DJEfPkykN8f lMNCJ0bUqa9AHzMHXgsiq57/hdr0GPFU9T8E+CVw+jBNvPu2HeKeOp3CHfjk bRV+3DuJ7fYm9F6XzITV+yWNB67iR9wgKjh1oNflsSx8UIK0d79gMmoDvv/W EhZm55BuI8uxZomon6rNr9t1mPHGDLrPXkDFPpjKv3z5e2JXDq75hLTpjfiu /xd+T3QkJVUxYsozNf7dEkSzzlKu2bcTfa8sQmZIPJ+raDLVTINK57LpHrMH crvS4MNdOCaZgZZdJ1DcYyu6vEvlv+LhbN3ci0WxM7H6SwhTFvWgbdxGYSfd b8Ohd9ESdAwJX+3F1hPxWDPIiOk2XVmkpc2yfhOp/n4F6jbb0/h3NRwWBXKK VhVWb5gkiXYbx2WzZNDnP13J/hsWDDIcxaYKLzZcSmWCZheqjL0Ju4sD+DzV i8ULNLHbzZ9HN93FAYt26DqnMn20Bo9nenJIdIbooauJhGR11JfOQtLHntC0 qROXPIu4e3A8n05yg5elC9w2yvDQiwpsOPsGl36A1R1z6auZztVuOqwtMWDr 3ChGHtTj83nhCL2xF49en0Hh4QHs9Gck3T6FMXuQ1M+vzBXvbC5C6ZkM5fT7 MOT/31rt6ysu9+1Km+Rk1nlMYY40n1/a3UH+kDQYX0uTclUKN9SostFmmFjd 4S3eRLzGj1syNArrzy7qeyWlsZ60avwN+ecrMKNekWfz1yBa2uU7DARVw7Wl nq6D5d5uSNm7ESPWuCPshwxd2uXEFdtMnFST8GhmD95Yq83G4lxOqjuPliHO +B3fivOfC7isSxH9v9nxsI+cJJNvxdkBfsxvu4PGUSq0CJtI851hHJ8aTm8H XWYmq4h91gpU8onA0LIRXPTMXIx3XulkPLuATlt7cvSmB0I9cRpMiwfxnZkJ ikdKOFqa5y/Nv0gs9AZxQ2gTHjw9B79lQfjRPpmuT9rQOv+r+OWjx+VrvyE2 WY3uh0bReX8Us9adxayKHzj69yCmjV+OctO76BtMDMtfLN4624mLtwO5PNGP Rv6JnFjmxOCVxpz4eBJb2s4KDdd3sFdQ4LKl/XDHIoCVluF8/VZwmUUHmH6c wIFuF/F1iT2PVcZzcK8ySd4PfXy2/44jD5O551Uk9R71oc/pLshQ0GCIzTRo frHh6gmG+IcKXB0WykNWGeLdC1lOexNPvcwOlDk6nB7vzNnBLwfeF8az8J45 H3w+hMrlpTjfswZv36ZzZ8Rn/DwtzfzrWZxTMl465gni7CepH/dZhOqiPNoZ urF5/nIhW9WTUUnJjPnoiUPSu1FTvgojte/iyT0Nzj5YjoVVgez2RYnaUzOo F38Yg09Ec8ecTmL0rBZxOPAhtn3fJMrMrmFswkR+WJtOxw723BXjwMix97F4 4nisDzmG4T29eaYtkHEfJ/Juz1ligYEmX8/vg7ZWa2i4ylK7aBNGmOay0z0F ntU2kvbhfRSuH8KX+YJDHeYg4V4u+z29Cte1+/Cn1k6UXnSljL8Ht8ir0vHN CL5eYyGZPGoe7lnL0Phmf1a0nRc1l/uJyApbSpQXQcvQi500r+BokxOrX5nS U0WGNcMC+HPPA9xaEcRFT38jyt+Zc9f3pKV9On2q9Vz81lai3/67wuB5OD/k daXrpxti0zpVXvs8E4oHHqJtbwIDrngSO11wYkkvRCum8m+XAVyq/gsRLzSZ ebKADVMTeV3utlj+M4J7bvnjeXOVOBhyWazavt35T0kGhjQacNzYMFaE/cTk 01ZsmiZ4X7oP3vtuw/BxE16duwy1glT2j5Hhaa//RHDQIHY4swOj1Q1ZOfax 2L0zgwvlTuPWe1c0T96OIbUZWNPrDHQMtiP2fTUmXu6O8RfVpQwZT+U/Gnjm 2Yje93Jwd3AyZ/86hvP/khi/ty+D69oxILkMb1tTqPPBhl/qQ2H74w3ORfdg L0tlyhaEoF4xmB89BnCRbAQLXydy9vdrkB92ERULVak/7wdMbXuwSaEG5zZE c+/6i+jay5gWHbpJ0s8tkGZ4EM23JPFG6DXMTw3mkAsZKBHZHPEzhl97TeHy NkvunzyAg9ABzqOsGDxhtvBd409LGwMkRXmKfbcmsFvpWOEy3YN/Cu1Ysa9I qM/uTKVpXjzRR4KrJV04xn8bfsYUUHKyFgOm/5E0vLRk9Ak5mBg48W5WBc4F fILjiOUYPGIAbkXk8uYCNfY404F1tYPoKs3Kh5JRkjFK3rCozaaW9htM7q+P wGsfsC51PO6fdKSiegeq5tXDURwSXR8FUj6xF2dv3oy++2NZ5lor8W3fKa6d /gflxPv4eeoNXl07j1Ovgji5VwZDbeOodmkqZGOPYuGJJQgdEc7r641491Bf GoadQpdfRzApejDDm5sxUO8sWtZpcNz8M8izHM5x1zMYdjmKV/UzaXDWjolj L+Kkm6PwfjYQexK78IJiCoL3vxeuy1oQ2TyR5Wui+PWnPa+e1qfknyGXXV2P MaddGHvlH2ImTWKi4gR+/51Ix6PatL9qzAL5CTS/aMEngRU4NbcXR48lLY5O Ecd7WdDKplqEFIfx1eCFsG2QZdSOg7Dt70/P09pY6hXEEUMX4NXSfD6YbU6F gldC5Xg5HjVpUfmCP8riB/JtL1kqyWrQZyiEwYFoTusgoelZfd6+m4y0eTac ugQ4O3MbrF8PxshJbWJbQjATVb4hrFcNwpJLsPiUHs/0WwCfhdosaIuVdA6a Qpkj7fiXO4KGs3pjSJAllOW9OCxRmTp/s7h6qzVX3Z2FV4fsecCoF2vfqLI2 sSPT8tRpuMqNRRmynFzQHX73Q2kyM5XrHi5GeOeR1Lrfib8OerP6sDP7/ymQ 2KTUiXtayzBqy2KEnavC+spxPDKpB9O1vbFHW5+9HN8g/lsyvROtWRE9B3lv p0ne9XoOgz0zEXQyC1v0NTm8RJHH+u4VZx3Je5q7sHCbM4fn52HRordYZjgV bl2N+PfqMA6f8w0j55TgM16i5XyWS4NdKAOqk+EzoBOPXevNCW+Sqfdmjvi+ S4+FCQkSq4DdwuVKk/hY1g8+HV/iRu184TziN44vnwuFdTMkB+xe4EKoMls2 xHGG7QDeql4s8R3+VVS9l3LmGLLLdnlW9lmF3LWpwshuNLcYObCH80coOpxH wg0HjPz4Be06rhzpcAs576dgiJIN22PGYuCLHfj1tJDJbXlMljGWVMiuRYDG XSS1S53aqJB/R/6PYvMOp/L/w3jSImRTZCckJTvnc99l78xsEiIjoUiFSqU9 tfeiodL+aki7lIaWltLS1h5S/c7v73M9zznn87zf9/16nes6B4TkkDGO1ZSL k4YRSG3aI66f3IfbB1Zj1pPBzMIPcTgjCbWtSTx8firyX3fCppfF3Pzbh1Nj FeiwohI976fRe+FmfNnanaMXtIlDkiQc7D+BC2qewFS5Ed2HJNC34QVu3pXj 6kAnZtxYjqxoey6tvyraz0eSbmewakcQBvwby07jfsK7tyZXPnqHxHv+kpud tsN59QphbLUDXfYoU8+7BOueuLN+9zhWxG+R5tEpuModRFjUJOQ9q0NV4XUx K3QA7yrkoHH6cBR/uo21cR0odtZDTy0YMV2KcblNytou5nD/I/XknzNxcdho nnANxrO747lWJoXLyx5i8mKQvR/i6eVANgZ+g8tjKXNI9z3gdS/a+yfzQMsy tF60p5f8PtyJvAr/43aUyViKvUs/4fO79Vh0VocLemdxvXkjlu/sLZn67Bku JclQu8KOfp8H892RCkz4qEh1WcFNNzJYdjuWQdvuYV2MNQdulbB88wLYD6sS h/avxO6DXdnBfTT72zxAsm5/Vv/1pKNjGF9P24DhjS7825LIQyVgedI74Xdy Evv6VIifoy3Q6Wc6vWz78t8aa/El65+kduBjPP9jDHRKEN+fd6CMZBAbVp3C PpcK1BiqcXBSAZ8yk6GGKqL+egI9BxtwTWCqJH9BMc/ambA19jVs7kQKs68K lJ96DS9ukdoDQjihaiBr/ihwdV0O5GSuY2WFlwiYlijeXjFl1C4dqs9LRsPj bPZtXoKHTt2pnJcvYubGMcchH65ff+PB0QeYdCGOR64H0eDARyz6MAD4+FiY nh/JyC8DRd40R5odvwP5veHcufE5Ykbfwa0Ub7b0MOGg809RqfoTbtNCpR6l LIrWJqB0mCu+RAcxVuoyknEGHP9Nm93UHfl5eTPydz4Xn/eZ8dm9emgtEuh4 bKNw6/MbXf/K8NAtE9rruPLJ66/4Y3NcYnwylGH/zgmXzXkcszCFjgk/hcYV Jyq/7kuLhr6sVXHkC0sl1s6+h+FhOvhzwF1UFv3C+anq+DbZji2fhzAypj8n HPNnm6I+6woseO62DNaHZNBzphyzg+vwMek6srYOZEervrRNTOe7Ds782hCA GfPmiYiLPuLmqkx+WezPox2zuDayUcwKTKfOtkps/a+Aa36M5hDJPRRZDqMk 3ppuadWI9orh3hBjng6RdsnWNEnY2z0wif8sknMGcM8we3Yv16XCu+HUXV+F We53cGFdC0xf92D8l0vQ0Q/j/enRcD2Wx62P6uH4oRtT/XTxqlOp2Hr8BRbs DOKd0RPYuUsxG1acHzxdM5RrJ2fhUEEMN+wJYJZxANfsnsDVG2zQvNIcv4f5 MvlxHgtXG+F01yy+NniGh8tcyZfd+cYhkgMczuFwVRnGhjVhlP50yaLHi5H2 yxsOg5wRZWnO/c+1OM4oBj875XLDrQqh81Ce74P0hLt+AGODgjjmexWyX7jy QKU13weMFcEq1kLGZghvyr6DmacKp3xR5/iqIEYPLnHu7pWEqNFd6T4rA7ZL w/Gog+DJqntCI9yBXiOT8Xn+P6GRPV9yoWIGSpOb4JZzGanrRlP3dU9ucerK FZ4ukvZyD5Z8XoE8zUKqfd7n7J4uz9hui/BBMxSzE6LEkq9NWCA3BB6KNVht H8AVg+fhm5Bjo8zZwfY9jDFi6zrc6OmAAqckxi0egjemvRlvIu0iT38U73yC 7xeLWHA+EJNPpuHMt7HcPK4Xdo3qzXcjV6Dgmx3TfNKprOyDmY2emP1fM7zO F/BQv2hmfHDDroz9aJO60bm6UGzsrse/kR5otpHjet2RHPfPkictvJgdZ8jd PZ/D6uEg7Du0Hg0rCwnFy2JQE1n74A9ONhdSLLyOpNICvjMaD9uULI7qNJQY vhc+nwZzzUIPippX0M5eiKrLXbj14BV82vYCaX8NuPVcMBWrjuDn8p6YO34k lssM5lr323g2qCsPb1Wl83IJoxvSqJnQE5YzMzjjsyzWDTJjXvehPN0wjBpn nGhsF0iN9K3i62Qb7uyrx6G7v2FGmJz4z3o3BoSeQ7VOHOMOeXP0uAiO/DiZ 6QYqUifT5SXTFmxseobcHwNw6mwiFac5sG9bDM/NuYjfhzypc24Pvi6Lo/YK Xe4qH4zI/jp0Hm9JF+HLtFneXCjNKevZt50Lg4fh4rYkjjDZh/8Kz6EwQIVz c6SdlnUZIRnh7Hn3ITa2K9FSfQQTt1eJPrtWYOFeT67wmkjHUeHM0W5Cdsok FiTkUXbpO4lb8jLkS1rw33Ivyt2RekvHFDYOc+V4Hx3+Mlgk5Bu70WdpEVUm gi2b7uK3zAHhuU2OalNk2e2PGXMGOrJAPo+15yQYwAnsJqtCRe8jsLRbA5dT toztJPh4jDVW3i+k7Z4t2Ozgyj91nixY9QJ9ysxp4PccLzN9qJV5UXT286ac 9FzeaztiVKImmoZH8LVpD/6OKIXc2LswjZ/M4j+96DdiJNNkMsTYrrfFrDHJ VLGrFS3FlkzzeIzjfY7h8RM/aN+8jaFqdpzgn8V1y7dgTtBpdKyXoHe0AVWk O/PAoBEuod60/b4Gqx5GsFGtiLn3ivgtvEByLbSYG5O0RGSdJT9bZ7L2iC/5 bDW2qJdD/YgK1RosxPphl8Tkpkj2fnkQlyLuw3r6EbhJ9mNZdSl2/jTl1vOF vLdEm5cWpnJUcCKsv4/gsD4PxDiM4ixtJ/bbsRb7n57HWPUqNHfyocuB9Ziq cRROul7cfuL/TnldtN3cK7oYZVOlbA7ibIdy2iVvyB/NYPuiZKw7Firc7nZm olJvjh+bxOS/g/m+5Bv+Xv+NJA7i5N2KGKTzTgSUT4Hhx2zu/KrMumwtJuss xtfjDcjJV8bPZ3fwyjWGw3TUMHdLFs5EzMB3+2xa3M2h5MgExr4VjBYrccVJ h9fs5PhpjiKjpuTzef88Ks0NRfXTX7jqvBlGc+eIlJ8F3HvRhuHDOlN/xiak 9ZfDcdcYUaD8UqyKN2PdDPDQvSXYfuobJs9PY+pHA1r9KMLBbgVc/Umbngpm vH3PAVX2Dnz8KInuV3+Lw9FkTXgif2kvwtXlEzGjuBR6bd04V8GTDwIFzzRM wJHMafhvkwX9B0fj/JY80fcyWPrgKwpG9eWuO69R3a87y7p3wuV79zDBPpx5 ERGcYDaJ5xQ9ESLtiKp9+wVu/MBo41Qu9G1E5Mc92HJDi3f/xXPeM2U4FwVT u0SNWs2tksaOUWyctE5y760MNZ7n03XWWvhfuYXlUwfwzg9VPm30QMLCOI59 NpZbu0/iwtYv4vgGPc7zTmBpzQCa5bkx3TkNzqlFbFu7X3RbpMTxv/vwyh5F WhhcQYVvCksDsrh5YiIteyeK+3sNeWtXmyjQlWfJlOt4UJSEkmZHnlXZK3E+ mM6G7idx5MELWK9R42TLb5Jxp5OoY6fC0tcTmJqdyaN/Hdk+5B0aP9uIisBc nKy25eeaa6DibBHxYgzft4Tx9sdYMjCMlj3GUybdg772lZC7OpSXPD8jNXIM a5ozqVkQzG87XuDlyxSqn8jnn81f4N1Biw8CbmKd4VzJ0NQQMS9Clj0bjXmq /yhe+ZAiFE1jsO2gLjvXdJV23grMt9WU8lmQmH4kg3cuN2BiqR2Hm+zEJd23 uJQVyZMbu2F6+V7Jo7AX8Fdowm33X4g7a8p+EjucOLwZU1PKMOxGMiNDbal5 Mhwb7p8S8Qox/JSdy0DPLBbE9+HcrxFsSg9jhowzd/6ZxBmKd4RSjxcY31Gd L+878aZjKk/dGs8pB2fhufsg3Hnkwe2G9Zik8xQZJROoM8OOr/aNY8KoXjjX IIvxP9eK624n4DpwIH/NmibGztqD4kA7yiv8RYfrH0WljR0sF/ekn2G9JOZ2 Ey6MimFQ61N0V5LjTFHv/BtTRNiHH1juMZFh3zw48lYOc+P2oPxuEU8s7cpJ w/I5PTSReUZqaB/mzHdvLLj6kgIW+pyEeksz1ks5JnRKBy7+IMGWhmdYrirN 9vAmXL+sQ4UnZVCXMeJn4YcPA4Zw0PcurO7UHy/HjcCFIsH/5B7j54RgnCy7 jEPubuLM0ViGqS1EqKoKh254g36FlagoyeeCnYMwyOULXI4G8pNTKuNlbovp Lt35erydOHxOje9zQnl2hxEtFBQlVluN4TCzo7hwsgW79exZteSmmKYZjE23 j4l0pROSXdL8rf2sQtWVx3FEvQxX3VQ4wMUU6fZ5khvWpdg7Nw2Omr+g+SUU /Uenct7ak5g7NRZmr65iO23w0/QSmrZFcv+a1QjQ16PZY8EdS0LY7CHPqS/7 cnmllMMlcrh1NQRvVNvFp9E5HDrSgbSYKTYfLoKJXW+eCJHF6UA1bvnswYhK d6z5uwQ+F71Q0DmSWrrR4veqGjwOu4SO64yoG2DLVRpnhazDACrOmCwWfetJ Rc01cNUehw/T+/P5SH8+X2rEIt2tonvHO+L++kjuO57I9T10EFCSxuAfpny8 dpno30mH5o4JWLlUsK+FhIO7q0s22iaycepwZt4YgB7+Fah804KO4YcwuLsF fNVl+eVqKPerOOG1czBDO1pTe/RA3nx8GkPN27A6qRtSW034t7c2dWLlecfM imMjElixvwytPvr8mNkHma8/YnHfg6iN6coh9/4iPM2acnFK7LCjBE0qz7FC TYaDvlph+dduHPMqh9VuG+D325MW06/A1bqYxTLGtHtSwEV/DDEm7hr2LOrD +xOVuTtii6Qm7TTUf5sjPSpCPPovn7m1B9BBsxEnjpyUuP54jtf6O0XBCSM8 /mhNk0mytD16DFN2FMH2ymZh/KaQN6Ne4PLZU9Cf05ul7+LZ8tqe794dFr92 eVB+jAXcp8tg6GlHuvxcLvLSy+E2yxi9akM4dYkpLMIGsdi4iHP0zFjVogyd 7QZ4r7QAvSfPQ+6oSqg6JLFGVoljL3+AYdsYDpO66MXVI2jyMIWt/VM5LCob hTk9aKUrA7WL5lDJyuWhtXHMnLkAKvpZXHL2BmxXpUNjwgkxd4g3X0ws5qRH KdCMnQ+tibI0v75NpEeO5q4PKvwY68/h/Wpg+cUJIdcV8GrrIagsLcTci/l0 dlmD72d7Mm6BHBd5BMJz6U6USDvNJz2dX4JuQHbFH+yTvr7AazhNnv6Fxs+L IuacD7dMCebr0YrcVLUaczPf4deg29hztz93LXPmtQEJvDMtGcrq/Wk+P5MW zyN5fvpJpKWeFt1274HSx1XQvjGZtVpWzLcxpLenBuN+y1F/yWOMvKODNulM X/BWQqqnoI7Iw9Hkjfg94hKadbUp23UPPoZY0mmjdG6Lb4jC9acwIWMiO5+9 iPVjpmB23xwudJmP97pt+DMyjb+Nt4nf52ypc7REjK0YzNRNW9DNrzNfzLaG //IrwvnhcH7drohO6reQl5jD7TeXw9dd8JZvKt5cCcClLXKss5pI7aAunFf1 Hf33/YbNx3hxzd4Ubwumiybz+eKv2Vvc3u7MFVqydJkRwJErEtj3tAzc/9TB 5FOlmHtaDZ7yN9ApR4HTFk7g51YbTmvpxUS686zvPtwv7MufHt5UMs6UPOsn wy8PNuPa+Q5UDwjhO71VOGv3C0mnGhG1SoNrl62WzPDeL/7z8uASmQrkKPjx 7EiJUHs1nvVHjmDllcuoOfJArP11Hv8lJwu/qo682JDAL48PouqBHgPmKyKr Yq1k9e/dePpFQq1/MZxtNpimhsZc5B/JpAN9sTtGnno2qjzo48DhOe6wuvpY XFV5jXwpP9SMbcfV82NY1m8gKl370Ms9h+fbTiDKX4Uf0nNZ93Qsd7WaQH6Y Lv97vF9yClpMmLkQ8gOsuMr5G6yTsljuPYZ7Wy9ihKa0Z67MQV3TSonO9yGY +mAkxl94Ap02CXctNsemIZ+gLe3blgOBXJfoxTdnU5mcMBzygwYwtcgSnitc oPCvF4+9HsWwA7FMr7sG7VRbFPXfI4odgWFVi0TipksoDDdltGU/phWoMl/+ lVBvLcew8NNS3zGg04q+uKh4D/OzAmi48iEeZfvgxJplotO3Qs7YZ0JLXQuu KTkh+n3xo9cNWXDKY5w4v0jssrVDUD9zaF21YvQOCfrOncCK3YYc5JTHvn8s ePDuWLqfGsuBZ/8goIu0u1RvIj1+unAZ9QeqDx6JoevdKG8Uiy4dhzKqxYx3 Bnahxy0NPjjgJa4blGLBRSMO9Qmll8FqZBwcyRGd+nB8YjmSa8gvwwJouj6d 4/rOE5Oqd4mKS3J8lu/Go8ZafH1xNjZ7BDJFdThKHY9C2VMHJ1YXwC9UgVEX E1H2KIIDlg6j81p15yyZQfTZ/RApzx4gInsMr2/sxlE9lLhxhjmGoA9t2w/A o6u18Gn7iFL/DdhzeyUsx2wWjY90kPXej2JnILH0gdijXirJPHoIm1yVWWX+ B6tqJBy0owXzqjpwwGwfqshP5PwH7zBAdi/W11uJq7+rcOnZRhTa7RQXW6uh o30PjVdG0XNKvtj/RpolI5twePsLzFQMolaOIY10bXl2lwaThvpwyNurKCu8 gul77JHgcwep53JoKq/F3VWXcc5MXnpml7Ho8V4Ev9fm5Z9RXGU3nDe2OqEm sR+fbx3LvIeDJY/NJZx+eAm+fs3ms2nk4QkNsHm4ZPD9maasrenCT5PTaKQq ixVTl4lBSzz48+sNVJaOdV7RmiYqttwX3YqGCp3oUjGk0o6t2n+R53wKL5xM OLeuC78vjuCQ7hZ8le3GjSvtxM01zRh9JRb/teZwfHEGPw435CkDGdo2lGHl oen43NeAH4+Hct+jMI5f0Y6q/UacmBvCgsoPYm6rDe549RGDMqLwZbUzEh1H 8WCM1BeKBvFo759i343J6J5wFg8myuPJGwfeqV8jUbxvSG3dhZKKpo7ss92a Z6R7vzXBgUoL32P7r2COHbtPhG0P4Z9/a7HEsQiLjMy5sOGb5EmjK7MvyvP6 KlnWbXqHFHlfqTM8wt/OYzmueBiPvc2iy8iBnK96Gpifz8nuNeKaxSrJtl7y OB3qjdWTSjAvM5Oxvu+wqGM/PqpMZvL2TD6OWofj7TncsW0oU+4UMFE+lwxa g7rU82jttwyPpjjQdrMX9uz4IcyzXaTXdGaQjQf9hzagKigNn5P3Qta+WVwp Gk3ttmb0Sk3Dh/1dRCflN+Ko9Vu4N4/C6dyOqJoRhVXoxhnzAjj5mBszUtx5 ZLUmJ8XLccSseJ5+nc/W+GCe1lOAetJ12O4y55h3izHEQZ8udtnwbXZg476p 6P1oJCtmx/JiB3eWyzuw7WGz+Cz7QnR5FoS9vh/E4PABcG3PlXhtLuCFaFWW j7mO4QtOo9HyO341jRd9robQvSyBf4+rw9vbljMNXovJcevwvHE7wuPyxD9p Rp66oMh6HW+J9uhy8TB8DTxPhmH4gGRktk3D8lw/xNQG85/uTRG4qg7m3pU4 0z2fm2Yn0c/OgbsHaWHBkwR+/TyaPnvL0XfsCSTOTKZc2GHsaO7Gxw1qIu6M Lfa+3o7VrkuwoaUjW6UerRZhzba/SbB5NxhHc1z4zK8Z5UuieDm4DLL62ehW Uiq+vBxMR90XQm50LU6pR+N7BzlO+mrAWZ9WO8v/J0cvvVys2TELTbe90XnP Diz9qsW6o3p08Z1ItaKtUCkdI2o82nBzeAxqSjQ5L9qZVwIs8GWlI/YnOLH8 4HIMX10OO7Nd4uxV6Q5sS+Tlv+Mp2VAF3ZuBPNMcxjuWE1h84CkeRRpiRrKF ZNyf6eLy/D7c6m2D/S0j2C/jLi4OHMvwJ6Ow1H0foiap8p3yB1QE9Gev10dQ vCqUV8+8hsKxUN5vHIH9IbNwOv0z2sp7c/yuBmRui+ehq6pMurgdOgUWvGTl ylvrfDm6whbPB70XtzPeo3xRqRj0xBKlbYNpf3QE7Q9XwNfKilMLfdj29gKu ffgjOdmuyHnxH3AiQQc3pv3ECe3PCD78Duss65EYm4UdvzP43WYSfl6tE4/U R7HlxjbJgr/duWbGISxuWiV5e64cw+NHMvadC+8YymOqnCGrJ1TDsvCokHXc gfw/MnzknMgpORZomjkQuS1etNv9AkZtKvht9AqHrg1hzNEFkrvyUeTBqehl IcEiU02OX7QJaXvnCUmCBP+6d6fdIQumdy9kauJmJKZksuFeppDEGcO3qBTG r17B4OkdpHkvQ9nAA8Lt2WgeMMzn5k8mSLwwgCb31JGxRJ7thabcdNueCX2d OGjoUxSfSuT2EEfODTOHb2E0n1334LVJ2ayTdl35LE2+WRPHM2cGceu1Y/hX 3wW98rchcmaFSPvaT2Jyx4Y+LlPwp9tKNB5UpcXVIBrISHh/twb3dnLhuwtX xPyJp+DfYZsY2lmFDzK7MzL2CtLfDWXsxCFclTGQYnwi91o7s7zzbagXkeVT ojnLNpDB3l/RcbS9yPK2p214OerVnKhT7M/Vt5Xgcm8ydtSY8PqBV/i11ZSX eu9Cxo3R/No1lVO2jUFI5Tm4RXRlnw2AW4w014PyqLWyJ+dlP0ZWmT0GbNks DtYmcoNzIfufLkPTF01G9FPlkwPS2d+hwS9TZERscS6S77Yj3aA/rD0+o+pr J3h3UuaZnWPZUqbLqmRHsS7rKCqXvcO+xYXccsCG65MOo2/ESsTHWONbzxuS lBkDuXxGPl0MXyAtoRmfc/PQqiU9H9tCTtu6Eg6qyhx6aiRnPZuExTPcsGnj DQRZxHBavCef+BxHmbEcx0UVc+9mf+ZuaBGN8vIY326O619jaTSqFw+UyqNK KZTOOp2ZdjIVf29fE+8jdcTtxhkYLe2i/XND6Om2Hi51YfycZ0pL7oGPaQgt tkjv/3QQL01V45O/mjzZoMaUJ+Q/YxnR0v8dPJwaYXAwinuUgvGjtBH+52/i Vpc+uPR8HLH5HGwdv6F2mxI96mpxYfYNXO8URvlV95F+YQwj4xJZU/5A6DX7 8rm3lEdUfLm+Op+7UlagXm88Mg3csbHrEHQc0p06jcU0dpuL1veuvDvBmk/L HMSX123Y2/AA404FM8vxEAYeUWL5hyjerpPlxkfFwvWmPHrssuT5aHfojejM +S8+Y1Q3PV4Kb8AL21TKRNbji/IcbHl3BdHpVnDakMdttpfgPfaZZE4cueXG KhxWqBVKpqckO4/+gdrSAfBzSKD2XDdcXb0abxKlPHq9Azcc1edD03heHZhK +xPO6HxOm7MndaRPcr7oq7tLDHyoRA0EY5daCsfszKLdHDdaOx7Dmy3RvO9e CbPjSSztrc6lq525MtCMS6ZnS7vJlQ+muiPmeSfsLFBjSMBsDCwxF8NtDsOz djCVxnkj43YOO549Jtbqp0k+pPSn8caePDYllcqzrmOVWaTYpH0XsSWdRK7P OrgU9+a+gXZUHboa6HwNRTU96NMlSmjWzsTWvX50mbpeEi+dK5ftibxqc0tU ZX3AslfaQs7gNMp2RNC0qD/WlB3Bpd2ulHe9ij6R2RxSqU69izJMV3qOsc90 qWfcgoYrofw3RwuDpvsxcGE6zbr48LnOcvxQ1qL38wg2HNqFpI11OConT9XP zxGgF8L+Kx46v7yZydJVvWiTfRzZMwfwrfxgDB4+niu1rqOyNZTeJ6RO3XYe cVM2i12qq/DlSwlC7iTzc5wxBy+R5TVfFa7UUWb9KA3+PSrPPnYvRf363oz/ J80Ry4twWNqNj76bMVGvAsNVkmg12pchu9fi46tvkspOocz7mYVzofUSPa/r knOejhi7y5d6K4dh1+1idvy4F12bveld6MnWP960j0vh8Dv+mGNyFoadT+Of uR/LpwaJ0loVXtbM4KYAaU8NTafHxn/47D9SMsRenoV7jSl3OBfvDIbT7cFF hK5cKLm47AEmp4TBr/UzFJap84ZGPGWNS1C6WZ4Kx6fjx7Qz+DKrEqdMFMQV q8EMMg/jYAsV/s5M5uxL1txweTQNVrVBYtOTRx4ni7h1xrjflsQVzV3QJTCK s420qdixCzvqBHGsVQIf7kxgwpbR6HQ6Git9bOnVOIzDde1wtNhGbPE64Pzo iK9Yt16fAWOd+HY9GRnxGfqmEm6pbpP8PJJEw8QAOr+fiTtb7mKKUOKcEHsn 7ekLsCn7GbpOasfkDe/x8Fcqt04x4/aSIN7R3I25lbJ0PdOZTn6zYXZiC5aH BdC8UZVHrmljSVQvdq+rwU/VzSIn8jhCozvg8U0vTD2tLn3f8exp2h2jHz3C 114j2c0tjWeH+osAlVAatQ1naKOCeLSkO9sHBPPz6H4MW7NbsnpoH+54+Bo/ TWpEiOEILFMoRp+d6bR9bEIZxT+Q3X8Xa/67L7avs+autxGo+rAYZ6o/wfWs BSRZ8QyPtaBRl6vCq8MXzIi6gg6q0XTbl8Mfp8y5o1Iw/UsmXRPn4GdhAdcu 8OSKNVoMWrYfIcGz0FKUxKIAE8nEBUpUPfdJTJ6ZwGHxeXj5N5PtoVZUaC7D RScJI6VddzzuDZ7cXSjJ2fNKMjEYnPFPE/cTx7Le/RZ8xpwX4VVbMXGCPLc3 GnLpgSE00fqFJq274vCmQyjsE83c9z15Jngpjn4wpfHQ50L3UgfunqLNM8ti 4awVyj89V6I59jqsBtVKRpf34pcJ3dhplzortU4gfcRI6vipc//NQo6qtqfc k7HOS/Abp9z1Mf2JJkVUOxoq85kc1oJj9x9hXmkd3r5S4o+aItaVeXBGaCKP nnTlkOED+fpMF76OcePv58acHRLM8Bf7UNL/DRRP/kXl/AhUPm3F0/PSvpfy 8tcUTdZMHsPiIV34sJs7rfwc6Tj3EsYMvIK7HXvwY7Y5zvwewQnZ6myIc+Pi gZ3hcO6DOJCwAUmXssV/VSOp302N5YaaKDWVw7qMy6J57FDWfBlCha4tWFX3 Ej8+pNFnuAED9Yx4qsAOjTVlaBYzcfChBx9eS0LXy8swTKEn5rso0nW5Et6p TZEcj3TDmhnvsCLYAceX7UXQ+UtoDHXgBVd7frVOZbf+X/Fx80zJ3KNezA9Z J8ktMWTeyNF4PdGA7oO9aH5zI8xXXBVvn2nSRFEJgR/q4C4p5KmozuywsCOc OshyqTBngPZvoeabKzZYpuCm0gPnDtda0Zw4gV2dAvjZvzd3Pq0Q576vFHE+ S+AyVtoW6RVSn3WnmUwvhCUcQ1+1PZIf+mUY2SmcNUu+wuDtZAbXBfO+bzCf 6Onx1ffHSK9VZHCoJSxmPcasZ8qUBBdS2T2U65trYPmomHIXJvLf8q7UzJ0j jF0mM9U4geFZPlLWkPDDDUuGP+/LmOoDuPb0EmY4d2VXzf68a+UMp+eR/H2+ Ny9OV+fu7XK8++wLKpbo0oTlyDLsy+i5/mSsHPYUuTEuYyLy55rxP5NA5gXf x6xeUQzV12B+/wG0rNsu+R1mxPsTi6ixVTo7+R3oUnRCuBln84z7KF58L3U8 ayscvuhP5/RT8CyMx6WYcexw0pOPfE7C5ewblMepsra7C0eb9Obpn/sw75ML swfas/1MpRjl/BkhCvbccitJUhA/ieUhXoyachoF9V05e3mD5OKlFsm0U4LJ r7KZqnUA5hfSKCephk8PdVa07ka0NKM6Dsxjp/uuNNswioof5olJG86InRel DtQSiaYJ5ZLY2lRWv7WSXq9Fvc1T4RG3TlREm7MsJI33bligT5886r1Zh7eL fkDrhDej/T5h5ofJ3H86jvLtEu4/7IPnHRJY5GnFFy9ckWbdgJcO36HhZcfu pZlsNA/naXV73lg5nOqVqlC+GMgjD634e/hlPFYZQ40H7zD4AqmxLVeMqnuK efvtmNz2Ba337Kklk8Ex615g/FMTeE1L4YFR+zDbeJL03kGMKVLko6OaLHlw CKltQZz62JEPV6rw4Lg2scmxM3pXj2C9ZRdOGZZAo6dzUKFZLHVKwQflalz9 S5Oao5dLgt48g+Fmbzq8VMECXU+GxSbzbO+OUt6MhGJLGGuVhzDIbhNaCgq4 w64Bh3utwm5tFebXNGBucRL17EskchJjpzd6/zDgagwK8wxZOXU4rw6xo+GP m2Jydxn6/tcNZpMmYf8OaR4XXYP3tiF4GtKIW+HBPGXrQT8/f45cIMeMO/ZY esUTiTF/MNc1TEy7K4PLXU2gvVqJfTvVgMm96DuoKwLGDGCQzUj+mGrG9mNe jF57AK1STrlt60yDDudFha8e3toY8PUbczy6ORv1ikbSrurKhCVKTOvVhe8P j6NXvTv1+5yG6xxTrn5vjqqBSvT3HsjAdYE8taIGjge12LxTwk29xnNxgAan p7VJ7p6z4rOmtTC65ML616ZMWjOGGzTG8a39Fcy00qXjkdVoeFKCaMNf6Jfe jtM+IxHSpE6nZnW+XazB7ZGCR9qdqSozB3fbrNnzwnqU641kc48LQstqDIdM iOLfbd/Q/3cO97/wZhfHE7i+xJdZPVzEsZPaXHh1DV45voBSj2yu7y+d38Av mH3/O5oDKjD0chxXJsZi6L7VsKquQmbPKTgT358+PU/B9mMQ4030OWb9Agw1 VGXCYfDji4nUfnIG34JV2GWbtVg9ojO8VUN5zF2Nf0O1OaFNmUumeaLHtre4 6ZHD1ZDyrZ4ju2zJYX2/IPZ5fgPOTfuxzdkQh2dn4nNbZw55I7jNNYKhRz4j aiqoqKrNPlVS7jlvw9KxQawuycH1vDfQmBxK3cfpmNDZhikL7Di1x1usstBn l2eDRZi3Iy+4uLBkzSr87N+EXd+Po8DxBzTVcmmlEIYo90OI29yDkUWHcOJl o1D2Xyy6yKdyz+Y+dOrqxQlbNDlilxO/K7my1H0/3r335MHl/3B4bTHHrjyD /isns+soF/7NHMqcKmVeVf6D933GceaVAF67oc6af414tLdMeHYrRaLCfgzY 9lzMMfDnqm8mvGIwkk8nLRTvourxQXsxDtkFQ7elH7vdGc+951eKdZvSWZTR hBUvU6j7yJ3VOQPYbJfCkVYKtDV8i69OwzDGsQy75Pqg4+wKnMlQo+zGUEY2 KVMRXzG0xwtcvqzFbqajccO5GCukLtzV7ylSggqgli7LJUMu4ImU+7dUluLe REV+D9+Jv9NkGB32HzL1O7MgagycF/nTzDtAyiQFjM6Tpe/CLfjY0xvyC5dj 5gJz5jzS4rE3o7jv+05kXf2MTY4x9NWwhcuFTTBYKfW3lDUwkI3niXud+XjU e1i+T8GlVh/2cx5A843KdMifjMQTv9D2Sw9bZL7CcsVZ8cNalt3fjeHPqoF8 H5/JjH2RQmF1DwbX18Jz+gZUJ2uy21RlTvZUpvXtwZh1LwXzhA07PBjB5obp 8NTNw8Dfq8WYw1OwwOY+vKYvEFMC9blwzWe88QihXrUuf3yX8PlJJ5Z//4JH Q6P4eLwnpnVwZ7c3OSyb0ZFJJhugcdhK2oed+PJWKxYcmMw9QaOocUmDu+ca 8be/GRtS7krytumJoUmzhPOgXAxSewKT7olc2GswJi7ygcrPdCaUNIhut22p PaeQ2iYduax/d8r3sOWfTDtG7rMWUyryOb18Ns4VRtHz0AwU7rPnjvC1qGwE u9oac23Xe3CQGcgr2eXCQnIT8t4VeLhQ+j0VwvhbW5cP3drxvVnKYB7d+c0o Fv0ao3h2tyUV1qXRINtBBOv5cmCnKoTVedCk924oSrl2wjN/HhF5nG36HXtW defducF8lqnOxyeHM1ZrE661m4lOEnP6l80RKgF2KLthBpXEcO7Z4CQpG5fO oCYLzh9mx1vF4ZKDMgHQNV2CG1f0WURXTt45C0tkBY7O0+QjFR/4b+nDkGQF pCZ8wLCbv7E+YTbs9Tegl10djt+U7qybKX8my9HoQo2Y+9KZX3z9eL9fIKMG OjH2+x5UBuTzxJdF+PTBWjx1aIJHpR6yth9GoUcTlNpO48DwJP49PA+7XWIY 3meh5F54AI9UD+K2gUtFoTTPbfOmSuICO3HZ8L5MulWPVqUYfCt7gqmbhrIp +SYK3tSJLu0bsOLecOGupcB9/9TY0tCfL0I+YBqVOG/fbTHkTE/UxMng9J5k 9OgdRbm20QgNGsFyj1AaqE7FNUkEXYNTmDjVmzodDXncw57lcX4cV+2Bhxlf Ybd7JvZ5v0bRrYPiWEY95jzKZ1HOIC7L/yde9anBtZMO9KkzwX3TWTgYmMry 9huoXaqEYcqjuOJ3J9alXoLNvVzumt2dF77H4/aqt5jnNQp1ZgWUXbxV/PNI ZuojO54/fwMmrmlkzVB+o5doqkkXQup4x/uHY/2dJ1AwncABHZ0YeHcEfR3j eXfEBRipOWNc9TzsxGhqn86kzE1nHJv+GMfmWkuWpGZin7QPVTEDl8d3xpJh k2kvdeKyFC2Wzcug20Fdfp0+lC+OKXFHTRcsb02jvpEEiwYM4023NrG5WYab x2pQt8CeX3rch8VZOVb8DaKsUgR7Vx8TVzcPZuce2nxbrIWYTGUmLwrnldYo ntTKodfFYVi23oB2XSbxTlkDKmuDJD/uZYrqM0fR5p7CgZU7EHfGFSne70XS g0vYF7VDPHt8G/MfO3NDtA5PdX6Jk1M/ipmr9gotWUPM/pvEdUe82dy3CxXP TWZRYzwzXiRS5YQTZbrvgXrNHXxoPIQhQ7wpu+wqpmROoGZzMq0O9IGVbgb1 zTcj6fdG9CxcIvao38Pz0fH8V2kqjOSVmVJvwMF5GiJ40ywMt9KA4ccIdu3Y QcoraWh4mUjLYnn8PbpSorzVisVOQbQ08ece1aNYHFsv5h5zESkeZNkKHb4d 0IPXXLx4Y1YAe/UvYNyfXmw+WoshK69j+LXLEqVN45ghncuSi4NoljMUJc+X IfyJG9e91qTHIRtuH+JM3cxZyLnShZN+WbKX3T4E30yCbOA4dil0pXbiMsi6 1og8Yzvp+fSExZWvmOsUz9fxV8Tf8HBaOnnz/cxoyvxyp85jGV7rT8Zlx1Il ZitM70zkhms1ODzJnbVOy8V/7lXi6eZOSB3eCJUDXpJhI3IoX6dGrzkxfHU/ WXi8uA056ZztCHiNZ5V98TOgRWT0WCgqagO5KNyIv16cFM5zfbhKbx/GPUzm REtjjtoidWf9FFr570HG1lbIdTvmvKJuB7aVj8fzKUVUHijHbTvj8KBZha63 OlJhzUQ2RM6DZ8xPkV19GA+1LDB4dBMajCahwxl96h9WY4/scE7PnSWql6az wlaZNbciWDXKAzH+1aL130TWDf3POaLyAzQL7bk8SZMBLxbBXaYJ33/05N8r IdzmPYJQkOf7ow7MPLQMnj1c2dtUi/1UegnqNMJTzkVSdluVud63kLbjMz65 L0RWZgva985FfW4lEvpdxMbZSRy5dQvG6fXFRpkySJb3Y18nNWQ8Oovtn1rQ 6qTLyCvG2Lxwv9g8vTfRYsQ/PwTll8mivUcknbR8sP3rQbFOYSC7lLyQvOh3 DEoWtVixKhyup2T4w+a5sJH05Mnq8zCd9gAZD2Xodfw97sluQqZfT9p5D8et t6cR0VcfBdChnJ+0N1P8+GGuF8cMvA6TmxlUupbO9Ss3isvmHmjc2pXr0504 VyuXQ06bS7LaE8UuWW3Of+TPFbEjeLP3d2xaMIC9W85jU5UtlukXSM9Zl9Md fCjbnsJ/Ycq8uCSQtdvNuEJWFrcN7sB54nxMrPWlwt9sNJ6sEkfmWvK37jYR uHgotcrc+bM+l71WmHL7/RBalqiLqp+XUHa4B5JHqvNp4yqYXmmFzfDn2Hkq nBN1T2L3q08Ye0yN7qZ28O1oxNKb/nSYOYpq3/bDTC2QZUe2oe+LJhTMc+C4 kEXo0WLCtBt63PbBip82qFDj2SQMO/IeF9sTMfVYFxhEyzD9lTefLeyMuhWK dOgQyvLYAhbfacS6VIkIe/1aJE9V5My3xzC43pKXfuWyrxdFWGtHvBwZjySj bryrcRA/1+wUtFNice/e1F4ewmxzZRbVJgu/t6Cs6wLhW7cJsYr6rHBO45md R+Hi74rPO2ZjorM+d6cZ8PEQwTCPCbwq5XSb4yp87vIE46s3ioP2I3FhSz9W b0/jpt8RHHN5LGO5DwFb/iFvzWRq/WmQQMOEy099xV4fU3ZYOJnmLdbsXWQj mvJNWDbwBfbVPkZPHyPMPK3O94XnxdsTq6QOJ8cDgR15UrMEW24V8ICFG8ev UWCPgu5oaytg1w46HJD3GVsWRbL7OC/uD7Sn0ZoInorsx9hnAjN26/J7jgqT XL+KmX1Oi+ipvujfagbDhFixPddM0r40g1lV//CwWZ/DjraKM9dyeU1EMEdh CPV2XoIWXCCnHiiOmroJ+8v/xLojJXBOK4Za1APJsUpF6u6YhteON+Cq58DS 4BAa9dyB9GRTtq0ewy6ThkC2Qzt6LSzm3TWdqHDhDt7tlfDPlUVw2mMh2mKe SS43DmK1QxrbDKK44Vg7MkIKGLNXk7MPv5DkdezDDrnuIsR7L6oPGtGmjz1P K/z/d9owPqs9LGWTYxgYUY+RyY/xTfsujgWfhePDsVw7xhCyZbex+1EBzY3l YJtkyvvrxjO7fy8GnTBnb+0S6F435ApFXe5aUCHORDsw0TyGWT3DsKHfV9Tk dhQ3/zbgkjTTUmLtYC7dUcXCjjQ0y6Cj1QkYl1wWnbu58+3VPmyoWwLZWV2Y Ob8rw/PkOFTlNAJG9eKOSH22K6Zwe3urKN7swbff8vgheB/Km/7B754hBxe4 SRTkBrH1iRrP7lqAkYE+tAzJYXmyMb0mr4DRuMHUln7Oxx6jeW9mKQpLF+BB /XCmFQVw/75+nHkwgUfvb5MUDzKTettYfEkcxgkHjFmmDBr6y7G9/jkWBRVQ taOjuB62Xbj9/OAsf0KeKknJnPpThy+vdGd7l268p63EpAFkwqpctpvY8NbQ dOrXr5NcqbqG7Zo/ReJcMD07QZy+GYHVuUtw9qgR59nOxbTxPUXxiHzOLTTi sWhr5h/YDT2HXI7ucBpxEjWue6/BLVvuoJ9fD7Zp+IgVbZnwLP0qgjpN4MTM vqzI8OOuR+Oh03GBeGi3Frvi3HgvNoQ3Pq5D1oFjOG43GwPNxgi3B+MZZNeE jTWv8V9sECbtPIPWncl0W10iOKNJOKk/w5K/nZnSW4slst68OVnqvMb+jPGS 48NEfV7RvCHCT6VTa6whe23LYpNXOBVv30RamzfnS/28bUMaT07tiXEXNPjR PYul5m6s1nFgH6dg6rnFs0zejQFWPXDJKJvBNvcQ8HgYNTNTmR3uQrWcKOqe VWHzlGC2F4fhQkY7Sk7546RxKxS7qXLUr26UNzTj2LIk/m7N551qH+YWL4fN tmoczYpG4YgEpoRmUNU2GBEbpb1id1WkPGnAF/3n2F4dyz3bJ7Na2Zu2DU8G jzz1VpTVJ3LTrmJR+dyDxzr3xmSlEfDrZigO+RbyUo9GfJSSoL+OLDQujxQ3 8y+IfTcm8UmJM9EzkHVLXamhN4wDVJ9CaYqDeFjhBRVJCG/WtuDlSh3ozD6P ngtzaaJtypIlb6DcUMRhyw3gVqPP5A/WrM2cgyf528WtFb7svDaHNhu9eX9D NqNSdqH9tiwu6kXzzOVRztMrnmK49DlMtsvnutzTuL5AgUM3r0XTyetoS1Zj yKPFkl4nG8Vo+cE43buYHX6psm2hPnPfzMYrz18SvT1+cE0YTbtwB9a7JbBz /EjW1y5B6pYAhjRI+GNXBNTnfYWfjCv3uE3imDHduWSE1CHnWfBizQj4/26C Qks4P0RfRs35/nxmPJhPJwxipupusfixIfM7PYGc3FBu1l+Myw4L8MuzVcjW 9aFc6DiW4iHi1sdS+f5xbGnWIaJtOCuiXVzum85TkizOniDDLeYnxYAVsRxh m0D376SLzwYoT9WhyZBqHLafyOOlj7Bwex6PvG0BDhVA4ZSypKr2F3qo9hVa tZ3RQzOC5/5tFciczK2amTxt68Z9ZgYMez+IzkaqzH91WVzpbcygSYkwHa9M OzkbZM8MFvd3JVOnqwuXzy/Bofst2FtixlgpYzc5LxEfrOei55Q+zJXmTXm/ P5h2/5ToBlfmpVzEj1OBOPPXiZablNlarSnNO2WeW5iPSPlS508mgpMKlqLi XoRIce/Ol9r3xCyL27hYYcgxtRmY9sOO98fqcPaMRHqFJIg1WjK0+u87ZgW4 sYeDNZZ5m/Fg2yhYnpChmdE80TFkF24oNIlBX6dAQ9kBR9dMEMkPQ3npfhOe nBnPyxPTmbJqiaS273NYelpzWp9o7ulnTdn6IUzuOQcWr3ZjxX0farkpsavO aNQmHRYOzY58JCuhr2YXRoRMFQrnVNk4/w7sDqZy1Ew1BseXiQOr+tHsji4H adrxsPJ11M36BK85/+FhiRNN7yfQy96b7WWnoFL/CV+SetDi3QZYvo/A+06G 3NmhFPcvd4acY4rELF51cEBLN8z/oMajUtdKb0+glZQzlpyLprS+EK8UTcky c57upyiu6hyB6swgZpiPZUCP7hz6yp0Zp2S5OjyIekfH0NHjsRj3pE5yTMpT J7f4caTBEdHRN43P3YLpoztLZE6ZDscPN+Ee6sPVd0xEmO97pM+aiEufZaVz EIRWJHOgpSea1zow1FU668uLxPD+hkydEMcd2n+AulgmvU/hzZJX2BCcxWPb Z+G7syf3BU4XfTNH06b3AGxZYcd+rjFcEBJMwwe6lPMYg4gLv9C4YTwHFo+k faI7Zkc4Y92NVKavnCtmd1qAiT1X4NX+dtS3fxfPDn5DlOJ2PF21UVKyYAB2 n/RjS8pf9K7WxBvj6Rigk8vm58rcLF+KK/c/YXarD5+lKqPdoxsLtHxp8DSB A9QNaPJF8A2zqKT7TfK1cywn9QhB8jAbDrxI+j0dSdVrhUy9UIkm7zBuUfCl hfxbNMfJC4M3JxH5rxJJXjE8P+2QsNiazDtdZCg2ZFAyIIhLp+lT+8HlwUs2 zILp3Wj27NOPS921+COlApJyVWq/3IXajFGwW96IYfHBVFc4CC3zbizT/iFU ho/g1+bOiCirgO2hB6L/0ZeYPUkB8WYqNJCYY4VPLF8UHXZ+k9cPKrZ+TMm4 g6JqE8yKdxPfs6/B4JD0+V9uwVeLlXg425cX1mXRX9GGC/uWwuZpb+6K7sTb gRW45qbJddHuonZTJMvtrfmxJZ339PtQqzSYa3LA+W6RUk1ZAV8FUxb534dN ZDC3XnPHq3+9WFzqD4nMQZhah3DRtVEc9nM0t/Sw4YemQeib+EeyqN4cC/46 4OmOy3glb8gXlsfR83EWBzhl8GK0GRXT/Jjey4yH5PKw7LYdfY9KKD+pAx1l s7FjWjWC3+uj8/B4rv6nzTV9bOlqNRmL1d055pHgxa1u/PE7BzLnvyNJbR4G blgkjPTmCJV+zWj1M8TmcUW8pmqFjN5TMHreRNpm3cKObV9EnNxVyGicwUQ1 DRofaBDF5iegsWwqZhQ+x9tJztQ63x/B1+di0YJWOO8s5HH3Ih76M4L+l64j NK8bZ+mnceaCyUyf3p9mEm30HFFI8dIZ3zR2Iq/BGEde56PhTyMs3Cew88wB 7KUjw3Dd//+3yYGBR0YKjX3R3Bfpg68jRlBJJgaV85X4dL60rw72YFWTC2da xVK7szonVR6E6uIYccKhiPINr7ByDSnxW4guHfQ5rU2FpcvfYcf9c6IifAm8 pg7kAeM4bBn9AgWDynHTPYDLNWXZNnswE3R7c/fcWlj2yGAPrWBU9j0EjfnD ePmaIyUlpUjbJIP65FF82L0n1H0N+KYtit/fKPHnnwlUNDXh4axe4kCmIe/c OonFuVVovPMZqy4q8Hi9F7tEdWfZ05uSBQ1TJbuk3PxfSjAzjh9G8J1IXl80 iME945lhNxjx7aGYv2gT6s++wjOhi7jLpojYo8s+Z6z5r6ch4+aa4O14BX77 cAoWnglC6dE9rH9nSYsXnXjvaC9qfZan1YWnWDhQmf73XRA1eApunX4En7wI SvGYpcad8b+Kzjssp/6P40pLu0ilob2UhEjd3/e7tFVKpCJtURpaqJQ9npA9 I0U9JSJ7ZO8R8YRskb2yd/zu33/3dV/XfV3nnOt8Pq/X6/7jnI06TfgRFckr rR/QSd9IbGu35aPWSTziW4LlWTPxTSefD+uiuSzkPlSlPqw17REM/mRxm48M m4pyqHQ1jFrO5UiIGCnu7J4FiXIWD0xrROLqSjRajabmHkNO7zOCyspSTugF ckbnORirq0nj5kJukLrF9+2zoLN5NWb2kc5RkgVlv9+G8y07Ol1oxC+ZB2J6 pQz2TpDu1qE74FKSwonmU/jF6Cyuta3FuCtBNBoxkVYWfRm73xpflSaxTMaB Gq+06TnbhtciduKutHMO7Tfl4wWuXDYvjMMbzTh8bS14xYQ5y6SzKW2E1jRH yl+ypbWvGyeuv4GHf8+i1UeXCQffIjrpCVIss+j7qif1Ry0QFc9OSu4vWIWy C4psMHVgU3NnKWu3wNwewjE5nyOkfS7b1Isev5O447QOwprlebr8sqiYl8yv U7+g3M6aiu3DqKVqypqeb0Ti0gWYHNaP2pcV6B+yE0ekLSP/UpZyp8ZQotQG 9/v/Se7kfoLGvbN4PlgXj+XHSt32IdrDTDig6gqmepzE1itdeDpUiTdvdqLh xfVITZrKPiZSzlT5UNZEgy133uGa20pU34mlzpwVCPOMQtf3t+CjJsfdD91x /8ZGSX/vUNqpeFH412HHnXr881CJ6a363CPfCx0OU/ju3hA+M/yK47OeQ0d9 uJDR6c99jsls2tguOVKxBHpK7ahd4Ms95lmonZDNrYfMhYmGMs1CsyWf3aUN NMedqiX38ajUlX8eDUV1+zTWv+nN+yFyTOzdl4O2/pHc7aFL68RvqH/jyXXf olnxcwzVWgZLtjYpsft5DXptVEeg93hO7dClv4kdp2iOxvBXoTyRM4xLx1yB Wv1ERE3vzfP9W1CcJsvVnT057PVg7t4fSq/Vo3hQKZ3atkPYLOVtcP+jaLHz lPqTvbB6qI5/z+Vzz5zhuCv0mLHgtxjidV5SPq0VK16l0CwkleqXHTjM24Ap 9sFY0DmM3fbtR2CbM3UTWiQD2424+dYj/F5ki49tilzZ6zC05fKp0W8MH9W+ wrMz3xHdaiTxXHQYix4fR+qV/qJ050FJXGQRuw83o2zeZKr6jODczifxOVNB ZK0vlGS87szVfZ+JGBXSpzGeC4I6IfxyA8KlHVmibsSdbzNxNSCal8r9mLPK hYp37FiRGMTW6a1YJ1XctU7/4ZejJ1t72HLLaUsO0d2I2Kzj6PjhLvL/K0Ox 42+xs9sy3FbQYuv6OCa+j2FpJ0V2tY1FSWQBTvkE4vypgbRdfB/+h1xY6tAL Tm/02Hj8C5wjypFtmSd+xtrx8oEQ3ip+ib7qbliVfVNSVLMQ+z088SXsDDZ8 GclvMbaceyaPVns+isv974s96t5YF7NGGK53o29iF0Z8rBRLFhny3rEgFmde RdkwP26vHssfSwP4eZQnTyWMo/vRHuwwz6TZiedoXhIn1v6S9ntPZ2qNCebV EU3YkjVIjLF3psURqdepRvL+GV3q31oGpYG34f/RDWnXpO7xXXpfZfrT6+tz pCnY0zlWBeuMSrBEj8JjUCZX1yVzTvItrJS2T/kYDbatcGBPK1nenROA0nw1 GpzoxW4qBXx4dp9kcsQenB/lyl452gwpHk9h+AkpNl+x/sgH9H8XwRPejWJT kD6LVKdja+EQ7mtO59mym4heEEkNX0uM227FLlomtGpX4ulXj7DfZgo3XToH R8tw3hlvgaKrply77TTypu4VLhvDMH/fDMkt8x04PNcZfX6bcvECQ5qkdaPX AVPOeNCFNrXPQaFEtxBz5K1+7tZRqsDSKnce+Zktztvm4XazO6+PVsD0kmBu Uk3Gn38UxBRVqU9GFeJ+xh6Ef9opqVt4DXYLlGnjXI9+Popc8G41Gk/uQWJg EPdtPQHFF7kcFezDmmd23KGYTLfDvahU743EMhemGXu7XZ8/lInPTNg0ph93 j38G71hNbDs3itMNc9kU3QOPK79hcKI+5iuZi/ZyOaSuHooFCeqUl/LN0yGa PokuuOLvyT6ddrr99OzORdnpqB+XTrtNUSwbEIFUuWDqX0zFhu4ZnL0nlbeW P8fux0P4+kwE3zab09FqPWp2pzHlRzqrlgxg0FtBSUsrCncooMxgLl4PHSkx rK6Eh9wdxH/X5r6Bo5nqEs7bA9N4otVVXDa+jwqNSYgqt+agJ8bsOsVT4hxv xDnbtfliax6rnnbjpoFZ2FQjB8dJbkzx/g9TgkM59Loqaxs+CZVnSlxXWw/l ZwNotj+Xy+NMxfGEQyKq45yoWvKPJKh2Mq9+U2ePsxmUq78G3bJv6N7HDif+ OIjrdqfEydpCwYZZcH+pS4UpO6Dlmc2k9+8RUVIrCnbdwYORzvw+2gnDuj6F +uW+mJCgyy1bY3Hcz1o8b1woygcewT9xPWhs0S7yQuxZfNQFCTMmsH6FN4e4 96OGZ4d4s98Ye7PJoYm2nDjkFI7GaHL7AXd+TDdl5ICxnLnjLT489aLnsp/i 6yc32gbG8FZjb5ZlBOLsdXtO2ZCG7vbdGYe/GKVoTK3IfGHzryznhKcgalsi v1nsRrf1Kizv6IudH8IY+H0E5Qs1ue3CKojMMXRPr4C8URCzW5zx7LEtFa6k 4sWUcGpHGdJwvT71v8dC33UYN9TkMbQtXoy4lMkX4XEMODWBSw/YsfuPSXwT myaM1d5iiIM9N0T8xABHP5HhXg+Z+cO546kEh6TNXz0mA1Vunfjm0ngGr8+k +4wIJokc6TXJ4MMpsSx6XY55hyTiV9lccftxd/5ePoh5bZpsaenEty/8OfLA UxQMnI2G+yHs/RtoPmPM6oRyOJ/5DSMpswuuFdBo5wsEVqjR57+R1DV5hDn+ yuy/Pwf6XvpcZ+5ArUursD5Om0Yq3zDgjzXVq2tEaNlvlPhfholFOm9eGkrT O9J+6nUSTs0p9BxmyTpfX8nhAa+xauxZVJ087rbqxAmccCyEUNJhkr6CmD88 TrKo5TM2zrQVBTqFVH+QQJdting3+DRU8ovxuvEy5k8vwhcnb/6yN2FV6DKo BBhi770QXjNKYumHEDGi/K1I94jk0y2rYBq5EzN6C4ZedWTCtAMoeAD+ln5u kc7lHaOfwr40nAec21FxwYKKOTo0a2oQHouG4/7QWPY2/n+3B3Jyph5Lztci trIe5XHSHXnUjHbzlDkiIRa5jQH83T4EN5MTWZwykqZnSIOOclFySR8OZwyl 9/I4XJskRz2THrRIT+b/n932j5ojo1TDOTFBC+WmRcyxTOLoTV4sviH9rUcP HuulKTEJmissTJ1YekmdtYf7UrG5C/2mlcNbrQAfRo5hwNeBfF9sR/+P2jx7 8Cac+vXhiL2yNJ7pyHP7xzDe3pqTtlTBuqwXD+1bhN79HXioUY99VPNEv8GG knmJ+dBGKIN1XTk+yI2BN5rER4kXU9etEn4zXTik6Ck8cyczb5cu53Tqh4ED X6LqgwK3NjZgdtBKPJb6su5/x5G9MYZ3HcugHfEvRkhCcCyYQr2rJ/NHGvDD pcPwy85ljIsj3eq3Q3X3bCEp9+Xfw64s0VJi7UIzulj6sOS7GeILJ7J0iD4u RgdjcEosd42SZd6v14hS/0+EVymw/3x3bjhrRfcuw2icnckJrnaweG0mSe/k RFPtaTz+qB/00n3o01MHHX+VOE3KtqrP8Ti4woPRHfHwWiHDU23tsHmvxbuP VfnZfjPWJKfjwMlkXFWVpeHGhWLxtwqcDo3hzdAtuGTkiKBfi8Sgunhudc3n rTkJXNX0DrcMdei+NxBRPqp0SNyLcZ+krmurTbXaqbz25xJyDnowargdc0wH MezqQ/StXQytjmhWlgzi4OfbpPtcDeb5eyTpbhl8d3wAB6xdI3XRmaLPq0PQ 890nXvX+jsd3FmNcSC02vepBO/3OmByzGzdvXEaacxSH/k5gZqTUbYukbP7d Km7b5uDNuRqsUe7FBXdl6XVsAg2tUrglbgBd7ZpwlOXIku6zyNwAPlQvIo+9 ht9ZLZTpbMKeVimXPjkyen1n9rUVLF5SjOYud7Ak1J9dZ1fg4gZvqqfb8m5N KSx8f4r5UzbjUcwGbFtmy+Wheuz9ciyzvK34bs0Izqi+5ybn5CflkRXzjhux cu1SPPipgHKL5UhO0aHdqxU4HXsNa3zuwy9tFIZ89OW2PRZc/ECN6z8tQmuq IUIsDVB8oF2oGdvzxKsshj47KXgwnnLHNZnmtFPMvZLGQpEO806q3BG+GG/1 dREZ2YvRDlN59q8VPd+dhYlGpNTX1uL64DW4NlePzXr1YpDFBPa3jMT1DEvW /DLkFPsHEPs/S9JjwzAxrBNLEgW3m5nw7/I10PS3ZneDo0grcRNyZhHinxs9 +OtMV9F/yVz8qzCBz7vcxNa8XMpf60BGVAQPy7jS+H08u75RpFFIKmZc+YmW c5Y0MzPki02B6HnGjwFOLWKW12l8CvCCQcpCdC90Zf2fYnQ4aSNlXwHLVI9j SL+NeL5agcEaAreWfpWctx3DNo00ujwsxeHju9HmmoltFd7M9VqMd9cn85yK B/8J8OSKtv/E/JlvMGH5CZHu+gEFm6+JU5d7c9H5sezdQ4+2E8Yj/Htf+kY+ FX6xmlSLy6R657HcMF6RdbP8WLQ8iMcSBrHn/kiOe2rMYH1lXnQ/jXTtzri0 +5YYduIHYuz0uETqc6F19nj/YAFkbd/CR96cC5OiULBencdXO3KJXRotXgYS boPoWz2RMqF+9FJsFEOq60T5pEJu0xnD593mIHPuCB48Z8YRB8xhoPcPXPuV Y3lDKm0rsikjq8OIzDBOCCLr67qLoW1aCL87nBdG9efTOg/uOjlZ0stzBwLz toiF27vRbb0nG7MtWRE0HiNrYznS4xQmLhkH84kx/LvEDv0bpnGLy3nReXQb 7g2x4PQA6azOsuJxSY3oumssl0tbQbvyGXo1ZEF3xgvXm1o62N/zOy573xf3 BoOJ7jPxJGc2dhgXItruKn4dN4RDWx9hyu0I6bMKueoyXPDQgD8cZ2Hn+5Es +TyF7b2/iLldyrAu5SDiX8Riv+xK/GnRxcwfvfj2/E38s/SN+OzyRCR124pn DxqQ4uvNGWIeTpT34fJe61Gt6MyGpdvgcGGRcLDNZ9CANTD5ps/t7lslj/u8 wqkuNZKLY+0Y16zHMScEZz6ewp1jdbh+ix3rzZphdN2Bh/etQbtcMm/0e4zG D9OxYFcmL/tbsIvTeMmg8JnwSH4IuXcxmKk6ldmFAxgb0AtNPvtFkHeDGK/g x+lpDxDjYUDrvBZE/gjn8qDuLHNywBn/GbD+//MiiwZwSWIwum8cxiF/ZmJi QDnWqMRzbf9+3L8lCQrN/lCZGcFu5Y/x94c8/04axEWNEiqU3EPs00zaH+qM Hxs1+G7+b6Se86fG70PQ2rwFVUvUeeJrFCNO+vKs0xMsOrcdamcOus2W3YDh 6sasVHekQfZ5/HwcQs9JXaC71lo6jy7M8gqmwsEdyHHS55rWMKqFf8AN42a8 7JOPggPR3L8vgnenu/Bz5mDmf0ziI30Fqs2ZCZegkfznvQ1i3x6F/LrNWHd+ KbzLe/KZa2eu6GPGTN0EZqQ349PbSgQ0lsDsvhPuRvSD/voYVtnFo9TCB4s3 ky+yOvF+kS079fUSEgUVXDXszvvBXvRb0Z9X87cjfbk+wwLHcvuVEbi1R5ED QxypUTMTlWlDcalfEofedhLBrzI5eulCseR4Km1somkzIoHPvzpjdv1kzn0Q jmH2XcUVpRaJoqQfPfvcEK9zHog32StxurwUd1WtWFK5ABGz/blb1YTd9YtE zOwm/NPelToHw/hpsx/+Hp+PoioXbJ59EE/Wh+D05bG0LPuM9Rbj2C7TmQ1R OujRksFzncMw8KQ8A+pj+e+b31DwvI6SFS9wbvczaNt148/zSdR2mMag158w 6Eg891yOYNW6YF64O4w9suQ4/q8JiqsH8+K9BlzfbM7MaVr8/ccXPm1NmPXJ EheHBnD18HdYlvETUROTUFiTw9LXBlR4k8u8jH8wTj2Tc+er4WKTC2P6SBmW pIJ9lyYzZHUmvz0x5+oF6jj19TYW9xrPb9OMRd3cSGY+yMHhvrdE260Ifu4R xmdlcqiuyeLyTZHM0x7O+clG1PSYzJj3yTTPVeOceh06QJ7hWzO5T2+FaOw7 gIm5+dxR2YWzw8Oo2NqJOXuC6f5SibMCFdk+Yg/m9/6GRU3V6KpfxPLNPgzN NWNZb2v+cEti9KvJXGfbjdYagzHpTinabK+JuHeK3Dc1js5rn0gb8xEiDy2D /81cuPZP4Jot43G9OR5V2pMRe9kPpdp7IfvDlzvqzoiuKyX8EHhMNPw3lPd/ nsd6yTfsMe5C9a2TubynD+uqYulZp8IZ2RLmdaxBko8We96zcosvj2LPySsk y8ZrM8/Rm+2bAK2UszDt48jDn3QgzpSL1m2XcGbLQWlXNOJPlSYez1go4j9+ gq/cW2w41o8nbn+QBL6SIHHkemHQ5xt2dn2PWZck7H/Dj38+pvBVogxmLQqj ctA1EXn7tVBc8R4ZQ1VosymLhZPDUdujGC9Dk8WXr0NYYJpEN4xhw8g+/H1e gZ0CVXi1XI5vmwKYFmTLlzeN6N/cj0uS1kvbYZ+ojk+EgZ8ROuwdOHV0CTqG 6XLD0p1SH+nFRpV8HP4eh9u+fdhr0BEcvDaWBouNmXrlsThxIYdLDkh4MKEL VwT0YZcxarCc9ABd5UZwbGwe/KNGMn+TCUsc+zHNYBs8+s7DufPTqHFwDZTv rIRmwzr42GTx8y1HHrtVBzWjeXj0aSxrlUfxxxIrKutuxKva5cLpSCm8jsVC ue4sIi878cuFMkzUnMgW58PokWlPz4gazM5vwfebHuwk70L5B7NR4XxVItt6 C+cDtBi3ayDtWrpS5Vosh1VuEy9f/4GsYR943Cvkpud2aFX25Izesoje50eb 7ucwKnUrFOLzKCkbxbdDPIXLRHPqVdrz3iNznHSL5N49qrymul7y+/+OGZTM H7t0xOtGNW62uiCmpqbw3jpfMbmyAeOyf+O7lLcfrv+VhLy8IikqOIEbv7rx el0gB8cE4nFYEIcl9WPB8Xi2DwCvqSfz4o9BbLs9lk8qxnFqpjozcvvT9ZQ1 R6/ZiKxBE3lpQ5UwXaZJ965DuLKRVO+YwILyKBycNNTNa3cK89L6caVqBsyM csSO2WUwmifPmR8uov1nPBfI9+GvV5acLqfNt+c0+UzK1dv7M7B0crSoj5jK ZO1Ennodx92FPtx/qhDVv20Z1E4u8jqGhWMncVZpEnVL98LoqB9fnunNusZw yOj6Mtv4pLBJOYWS0QdRZJ8M702KOLfmE1atnMYn78owf7Astftpcl9Yi0R5 dAr39HmE3HRXBryewLYt49mp6yH010un3pNwjs7fJUZG6bDo9yBEH65EhfoQ 6Xc74ZIQzNk3L6Igsis23I3ipk993aIO3ULKX03xzGMx+h5fLUpOHUHpiAto aPEXHz55I7VbT04afwqmI8dy1OxA7uxsyfbMPaLa5aVwie9Osw0ZNJrXiorN BpxtYIp4zzAetnLj3013hOrgf3G5KJ6SjGe4NvA4XlScknpXOGVDnuJGVmdG T7bBCevZQm3Pb7yzd2ZuoAnVNHrR+ZcpmnrbcOfbkxjbcQKypp3EL2UVPFP7 gHKPCmwsvoknzQeETuk4quea8OybAlzoJyPWtseI+lHbkJhrIvnuPow29sos 1Q/h8ZY4SdYIUIRHYZLVYG4beR1N7Wl811Ar9ZmlWNO2Cz4pNpioeB9eY6bR R96ZDqmfJB4VevTa2lkEpq8U6tPlqLprAs8s84f8nGjJrv//T6TyDvO0Upma oc1RUXKo/OEDv+qpDEgaL/Xcx3hlosyyo4mU1cjjKJMZiPleAVetq5KQQHdq FOVzcZk6Lwd8hd29kUKlI4o5nMI1c6+IGbq7kKD0EYd8u3PKZXf2s5Pn1PG/ MX76XWweu0/IZPTk/NsGvGg4HOd3bhITRo9levkxFIX8ReZJf0neLwWuSLkB Y60SHN6pwaQ7w8XRWcHs21KBobopGDJ6IT4XNMBnyRNs//Ib5/y8GNxUgoLK pzCttufSvt2gnrcWBQt9abbLj8o1CXw6oAejii+LRY2eXDqjgDRegl25fVh9 zIAfrdtwrtUXy+ZaEcq+yLSP4hTdxbh61Y+Tf86FaYiUia87M9PXmXrSY+od 1Y07Z5nRcvRPhE7YisoFujQ7qckBMyczadxkakaVCtF9K9YHTAHq46i1WB96 c2O49fBa9C6JZc5odV596McfYW/w4XghBlRchpP+N1Hr4w75XxdQPmK9WNas xq1bfkCFipzTZsPQzqkc8jucpRd8OMDDl9MH2bJfRioC1aJ4uEKH1Z/scXLY eF6JWSAOLleA52JdXDz7WPjrnsOYveDZ5qVw9g6k1//fz7loMHtplSNqwiQO mKWGV1pFLDoeB3+9Qm5xdaRy2kPkpA1Bq/UnMfRJDHPCHLjGtBX2dy7i3R8b ZgZF0U0jiIolS4W5bz6L1KTN0z+OV5zf4+CUhai7ZoQRPa3Zz6YLc248k5zw MeWi6woMUg1gZLEq/1PXYH8TZZg9ncgH1x1RutyIItiUp05GU8a7GD9TKHVG EwQP0+SG2zn8vNCLC+dvhl9rESYPn4Qxj3ryY/IbnC1KYv9Cwuu7B8N2eeBg 0CFcN9DivmPZHBORwE6xWXzxy5xn7iSLEZrxqAk15v7XTpy4pxpV0rmUGTyF 0cZh1M32ZW6tInve+IvszRJgbxk+3zHh8cRmWJzKYHlgqtSzZFE0NgNB2e9h N0OW7qtDJAltsuKq3HhqJkXw9BcJj2gLPsr7ip474pElU44kIU+jumZMWtWf gQP0ecFvEh+fG8Nxb29hYHsTzMoeik2fr2PlhDCqlx7FKn1/t4QDi2DZO5Rx jkq8pdTFTazKZWy7DKYf7sDzrS7c3yUdmuZNuHVAiXdXdaaBVw6L988QUccs 2HvcYkxz1eHCHjNgenEqa2d6w/zUTVg+qxJZ09Wplb0ehe/caa5mJzF8lMNO g0I5ZIYpX3/biLo3SczO0hfRk7tQTs6LlpuC+SIxl+L6a0Rv1ML7lrVQe9OL B+YdwZU/Pak1IIijGmIobnty1YtoFrzw5X/3RnN49n7s+rYPGTWLsCNOjwPu VcNIbTj9Z4Tg5VzBOU3dsOGxDs8070fp2ml8sdNUnOgzmtX6NrzSWiKm3sui GKNGrcAYrts0DE4f7NlcPYI5T2QY7KTIBv04rvIRXJ8xkSpTHiCy4wJWW0gw 5bEqHyeb46xsG158eowFk8az/9cx/DMjQQR67oFPixH/nIznr2FK6HJLjrf2 zcewB3HU/D6NmsXZdEqWR9rW1ZB/Z0AX9WhRuHGBZFNqBiwGytP8pAN2TfsH pjd3S6K6hXPqU3ecn2dI+Z9LMC2vOxfd8GGAqR3PyBVx2ubTGN4awqnDhrJw g7FYcQZ8//Uddkj7923QI/y6+A+WCXKPkwWth7dCt/tkqhZMonLkUNrPm4FP zlrCYaSr0D8QwQybRShuvYj8Lar0VI+VxBkNYF7bO3H/byWGZ8sjPf0sjrS0 Q878tOT7qjFc4FXI8SEj6VPQmWnzdiNcbQkyDbxQ+K8jbTYE4O3rXA4c3QW3 5oXz6fh6MVshmEfO2PDEkZnoHvcel6zPY0kvF77JVmLu0BIxcY+DpCXZFB8O hKD3hkdYfd4Xw6ZXY37zG/yYYscSA3deuaPHgatsafkjl7vHbMIMHoON9nTc CNmDLZfyeGp8NH36lqLj/jjOuVrs5qhrDs/fp8WC5h0YbvUKY+TN0Bb7ESdG auFzap2kPppiVrwcy5SW4nzRBVFUaMKqFjkRUF4scehxWfS2H4j2maWoimjG 6MuatJ7fn+k9X0KpzZI5K59g/5g8mk9x51958ui8DFp1WOHEKxuEJeezfEYS K+v+wCvEmodUZNmtSxBzv7VKuo0/JF6OKhOLT0Yje4uycDeSY9Syz+Jlrhy7 L3FBpcEt/JTVoVqXifzmNQGdPw/lY/snMKntRJnxIzj+eRrfzB7OVafqkZmv i3HWfTjJJIHLrOZLuh25gS0D8mF5NZQfP00XXtdkGdWwUlzTdaRJ8wXYXFKk n7Rb1BySGL97KNcFdUKGpzJ7XC4DS8P4yPWvGPV+A7ovVUXprjv4cj2D2lFF 7PnQmvP1RjNn4XvIlpdDxhXcen2D5OWElUgo2Szk71VB+b4znR7I0GNNnbCV TOHelQsxZv1inAwZJElfGMXaicuRs3YVPCtnYOv0JLo3WvPf6Tl0GppPD7VY Ll9rwkFdm8WIpkRqaWkxvrM19ucdRmjAHUQ72NHsmQvWxTjgxdY8eK78gJu9 n4o3L/rwo1opDJVOipVX1sBGYwhFgDNf3C2CudE3jChtQPyHT9BTfCjtjXHU n3RJ+Ac9h1VhCudXAadUIlmhMA0yewTv9VyNczd/IvjJUByVhGFQThijPGvF nGXH8WxQhLSLA0TGo30I8tYX62xDKBe4Rxw9VsDqG9kskDbnTeneaOre6Fo5 9yg6DZbDF9tIlhlEMdAwkVsHFVBjWSofhx/GHC9vdLHvjFfBJsjLkhUy31Tp UN2F3fSs2BLek0tjr6OjXp2xDfdwY2C7pGDvMSDfG9N6zceft2FUKhgsNIvn o/GoOu+UfhIbpuuw48oABt75igGtw3hw0mhYTpGnl4USps54iHUazmi+LYPk e1boVd8mEh7fQVtUBtuuOmL61EqM3uqJjf+ls+VjGX5dOi0aj353i9C4BQff jyiNu44T8unsd7QTp/7wYu0UCWvOzkapsQon3T2JG8fNuXClJf5pCOChI3Ow NL87li1x4+pn+ZDxSePhTEfGlR+WdJSfw7o7C9G+LpebfYzpbn1SovLSnptu xjPfcIjoKLOiorR/Zrzei+xjf137OjqwJiwOB5T60WHdTnhvd8aNTy6c1did B72jaSvphuyqUUzf8ApT16zBIVNPXs2T0HG2HUJHefHPiVysuR4j+frCiXUJ r0WjTjRnpv2LP1dVaXXehTmbryBreyDGrNDiz0eH8bQ0AZ+fmHJ4zwheWzuO ZqeG0+PuYlzJOoj6Wk8+7SXh0/8M0XjRiBGzf8FtYS4W5cyG5OhAjHr1AOvy EsXpbVbYvSGa10yUWPylB30ujuA4jw3wH5IqampKhW5zDH3KgsUoozS+CDog 2W9syT+9vyBWzgCDzwexi7s2jn1LoOmrk8hKrkSDezVG9uqOyh43sG2aKesf ZMEyNAk1CirsdGAVhq2vdvvlXYP3QV5sqO7N5Hg9Hi5xQuevC6A/IZjXDQvR /LEL1eSyuTxCluu23YOfwW/UyITzwNInaKjoz3U/k5B735Kvw1bhQ9wESfDI MNTmh9DhszV7FOvwnpYjfWaOx27jJmSaj6Z1xxDuV1FGYlOJKLEo4F1Pfxqe /Ax1JQk8By/H8flhUHe04qzsUdyy1wA7q5Ih31We+U/9qL5gCR6ayOKWsQGO xHjzkeFddG/N5NIfpyRjiyey3CqY1340iNYXqbS5msy0e6dFubYOfxpb0dOk QnxgIR52HcpYuXxs1q2SfDuvxkAnGSa+iuTzHlFcO9OSw44FsO/9Hmy+Echd rhM4+kUCJavk+GROBjo/1OSW4niO/SrLsSt6MMXwKe5b7Ra3fk/g15WnkKQz jQ6Z5tgc7s3l3goIuy6Pu+p96WZogpxL/jxVu0pcaJPlNushrJg/ldFmg2G0 SI6HInPFwOB03gm873bk0FEsXm3GZ4XRDL3cheW5nVjpEIeAU9k0rwObO7eI Z5/bcPh1jJBdlAqvk3UiZNNU3hmbxTVvOrPUbCg9tBS5aukUcSt7BfIddPBy 8AMoHfuJp2Iqyyzq4Lc0nBMeSs/XwpEWI1N49pwPa1a9RY9keXHg6DDm+g6T MmEq/LuOY8uNkaz9MZWehVXIOP4Ad8/mommWMjcnDobHK1tcPuDPdV/00bFi AUJzlOgghtO1+Bi800Lx3mMsRwy/jrw1/cXfy8r8d3cebBd/kxxbMpm7i46K cS6pHN50RKyuWCc61GtwScRB5oY/c/1q8C3emplbnSmnr0dfmyJ2nJ7MYdqb xf3BG2GUG8WJA8rQsFYGVx010cvgMXZ96sYjGMFB8+ohe9qfWL1dlMd5Qbss khe0k2BRuxYyb+rE54KpmDWxk9g9KBcrznhwYdZEPL6hwKExzvw5M4XmVccw J0QDNZGROCKRY8DORyK2y3KEDfyFj3PNabG5BoG++rzsex+bVY7AdOBMsfur EneOSqPOfCVczJBw6YvtwC4NViTLoNJyMeYPcOXXsnaxt4/UGw6EY9HuGPJs Aw67yPF1rC9rK7rh9uRIKl5Q49DV5IZ0IxY9CaPFwY1YNus+5H5sx5dqW57U cWFdYjrPHOzNVf3eoWOcLK8fNsHevOuAWiIv/PRkYGQeNHyKsXf+Qjx7NJXV QV8kEUcN8T8oYmFf "], Editable->False, SelectWithContents->True, Selectable->False], ",", "\"\\"", ",", RowBox[{"ColorSpace", "\[Rule]", "Automatic"}], ",", RowBox[{"Interleaving", "\[Rule]", "None"}]}], "]"}], ",", RowBox[{ StyleBox["MeshRegion", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "0.1282591222826699`", ",", "0.804880670925791`", ",", "0.8218135757261857`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "6", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{0.8678050716374959, 0.49156148695309354`, 0.7778103906528715}, {0.8933434482620335, 0.21813774193542113`, 0.6988775973202581}, {0.8176852653207709, 0.9836104187534414, 0.05059751074811847}, {0.255324189204887, 0.14449435585429016`, 0.7746209679391896}, {0.3965287184673474, 0.608332585327648, 0.8553055018183175}, {0.8082253162794284, 0.31058971615244, 0.7117090066421365}}]]}], "}"}], ",", RowBox[{"{", RowBox[{ StyleBox["Tetrahedron", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"6", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "3", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, {5, 4, 1}]]}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "7", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{2, 6, 4, 1}, {7, 5, 4, 3}, {7, 6, 5, 4}, {7, 2, 4, 3}, {7, 2, 6, 4}, {7, 2, 5, 3}, {7, 2, 6, 5}}]]}], "}"}], "]"}], "}"}], ",", RowBox[{"Method", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{ "\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Identity"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{ "\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"\"\\"", "[", "True", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "6784263143624334184"}]}], "}"}]}]}], "]"}], ",", RowBox[{ StyleBox["Graph", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "2", ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"Null", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "2", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, {{2, 3}, {3, 1}}]]}], "}"}]}], "}"}]}], "]"}], ",", RowBox[{ StyleBox["SparseArray", FontWeight->Bold], "[", RowBox[{"Automatic", ",", RowBox[{"{", "6", "}"}], ",", "0", ",", RowBox[{"{", RowBox[{"1", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"{", "5", "}"}], "}"}]}], "}"}], ",", RowBox[{"{", "1", "}"}]}], "}"}]}], "]"}], ",", InterpretationBox[ RowBox[{ TagBox["NumericArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real64\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"5", ",", "5"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real64\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"5", ",", "5"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Data: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TemplateBox[{ "0.9690630597101872`", "\", \"", "0.637472515759927`", "\", \"", "0.8908752144776249`", "\", \"", "0.5212694227264849`", "\", \"", "0.5297731470270679`", "\", \"", "\"\[Ellipsis]\""}, "RowDefault"], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], RawArray["Real64",{{0.9690630597101872, 0.637472515759927, 0.8908752144776249, 0.5212694227264849, 0.5297731470270679}, { 0.8575385936065743, 0.9224603550771251, 0.08126842156681158, 0.5295833178400577, 0.9500881119273372}, {0.5774459137076424, 0.1701081583121702, 0.5697691024741329, 0.40537038690308647`, 0.6019653736074384}, {0.37676668654286916`, 0.2884119188673755, 0.9079701619569203, 0.489503222951434, 0.5730852214677709}, { 0.7270330973655288, 0.7552730965313477, 0.797878547644358, 0.003913830052174827, 0.041528129993621654`}}], Editable->False, SelectWithContents->True, Selectable->False]}], "}"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.850000157994772*^9, 3.8500001883747873`*^9, 3.850000221153062*^9, 3.8500087423093023`*^9, {3.8500172199515934`*^9, 3.8500172634218388`*^9}, 3.8500173215757113`*^9, 3.8500334694102435`*^9, 3.850034646450004*^9, 3.8500493695006504`*^9, {3.8500505904643803`*^9, 3.8500505928791475`*^9}, 3.850050949167383*^9, {3.85009761389646*^9, 3.850097632930625*^9}, 3.850105911566779*^9, 3.8501059974591255`*^9, 3.850264439178567*^9, 3.8724813069436517`*^9}, CellLabel->"Out[28]=", CellID->841190518,ExpressionUUID->"8d87f61f-9179-4dca-a208-c0a34483a600"] }, Open ]], Cell[TextData[{ "Alternatively, apply ", Cell[BoxData[ StyleBox["ShortInputForm", "InlineResourceFunction"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "b217ac8c-bc3e-4e9d-930f-3c95bf129cba"], " to the atomic objects directly:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.8499999579738398`*^9, 3.849999990187608*^9}, {3.8500001125729713`*^9, 3.8500001414263573`*^9}, { 3.85000809867724*^9, 3.8500081558008146`*^9}, {3.8502162727768497`*^9, 3.8502162834536858`*^9}}, CellID->433495954,ExpressionUUID->"db523515-06e9-4be0-98cf-43c19dd9f8c5"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "/@", "expr"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.8500081463101687`*^9, 3.850008147724471*^9}, { 3.8500087462607384`*^9, 3.850008746585947*^9}, {3.850017295123778*^9, 3.8500172959491587`*^9}}, CellLabel->"In[29]:=", CellID->990825231,ExpressionUUID->"fdbf9966-3a52-459b-84f9-0565b958b3b8"], Cell[BoxData[ RowBox[{"{", RowBox[{ StyleBox[ RowBox[{"Image3D", "[", RowBox[{ InterpretationBox[ RowBox[{ TagBox["NumericArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"20", ",", "40", ",", "50"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GridBox[{{ RowBox[{ TagBox["\"Type: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Real32\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"20", ",", "40", ",", "50"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Data: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ TemplateBox[{ "0.19558830559253693`", "\", \"", "0.6244687438011169`", "\", \"", "0.508919894695282`", "\", \"", "0.9944472908973694`", "\", \"", "0.412850946187973`", "\", \"", "\"\[Ellipsis]\""}, "RowDefault"], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], CompressedData[" 1:eJwUl3dYzf8bxttJaJcoSmhoaNE47/uuVApF0dSeKmkrFYnsTbJHRnZGZM9s heyRTTYh5Gv0O78/Puc66zrnup7P+7nv18s4LiMwSU5GRiang/QhMDbfPTs7 dsJIpf+/SIwda283Vl76VFt6mUkvO+nl5+MDm0c9ucRHjvrlk2gfexMVF5Ro 5XtCuK0dw27rrIWfuxvNmo04eWEaTul48b9eLpz39g/0217APPygcKwrEyee jWfT2heYlt0fv7x7cs1nJZZ82opu2mvFztM38GPqAdF7TwbNeQByU4o5PbZR POuby/rHyjxyYxvu3aB41GLKmdt0efpRIj7a3kDkxYOuF2TVUHIwl/P1H8Fg sTsnTSjhkfMm1FOcjetzunDB/URhfWwqrJveofpDT2490JP/7bKlUaEj9Nwr RGOfCsi7yvB02Rrk37mIG8UFcLddKnqt9uHSp/dRdbWEIa/TOEzbEFbextwV YMa4JzMx5G4ST77oz14505D4L5hXzxRzrFER1c478tucPxix4zh+VdvCpN0V d35twJB8Vzauy2Ufg4tYOzWdT+56sGmOCtuOleF3jQ19L9wQ2d52ouM9T7gO 8qPtmCz8lxhBsy0TnJvfRdDGbCNmvHBmp3vWnO83kd+Vc2ik4YIVyg6c170P D61Wot+4i+JTUxxfPfqKVTO34k7XHG4PV2aXf2P5sNmNPwbOwoM1ZXiXfwLL TDYhaGY+LY7mMELpqpj3sgYlQ63Z2KBDlYZIFkYHcN8uU+pu7spnOxJZIP8f vhkEMNTYkjIfY+Dp2ZeG9zM4trFZEhjiwG0d9fllky/DJS04V9kHZmFdKe+0 XFwp08FphRoUrtHn44w84RJaiYJ+g4Snujy9e/zCokYvbgsnpj6/gfWzq7Ei uwPSttuJu/zjMjc3ifMXj+XlUn8m5NxG45eHIsbMgd5HAjhlfn9+CjzvurF7 OPcovcXea55M/U+LXk5uzI7SZoCHPxc+tqC8RihGeujzmfxzjH4UwK/Bk/i7 /bmwSJ8nRIoxO1dNZI8V0fBbGMtLYwOo8XAoH4zry1mKSTSt68vB0nn284hm mfdX1KsvwnFnDd5/UYhZXcchsPyqmG05Q1x4GIGUSz35MG8Ae67Vwact9fjd kMIzymHwSmzG47gvePI3Whz3kzDuVRFn37dH6IHXGNnVl9Trxba6aFpcHkbd l29x/2MvdrjvxuN/I1m/2onWx+R4OaZUmI/S5Na+mZgflclBgQ8xd0sxi8Pb xf6GYg4KT2TPP/kcuFQGrqqeWCtnwZKPKcy5N4G35Py4+u0YFm22Z5jPcKFV fRW2nXS4/4QShgSaUcc5ARM/+rFPZFcu62KD7U6DRQ/ZbNht1EaJQQrvWr2H 1rIJDCpOo8OrgdjSq5APahXpe24gdsvMQv/qeD7KfIsHyjHUUmiDyr4QGrev xOyWVGL2FGzfmo1RrW7s9TyGqe5KdHwsg6+jXbhqbS9mXUvno8mPkD89guaH nKleYAqDpRXYV5lNn+iluHoxF8hTp2TZOewZIKFS+DosOTuY406HuTjGJOP8 plzu0JEwq99mPIuswL3q/bibBlY+SOKKtVVi26/teHuVOPX9N9SPtqPD5wpE Jl+Gmnciu843Z2flOBzwH8w7Fz7ie1ouP2dbS9KcetO372U8Um6E+tex6D7Z jTbPx3NLdC+ROHsFOj60xDb9N6LbzSMoDPLnj75zUK8whtN7qlNe85XktZEl ioSB8F+VhW3bo7iw13hm9ZXjNO84KoS9EkPsu3NCq4tojMniyWoPrNt4WOiv TWbmCA2mTopkzx7rRGSEKeQy16P+rSwN6t/h3Hk7vL6pys3LA3hSJoflNV3Z c6A3Q+f/RNzeOA67os87z2rxrnYwZ0m80W+Sg7jwWpGR8zP4/s0IDujnxcaV qXzuOxZRlvswOXYdbGLlJEMHhnPDgltY0K8QFooJbGn1gLGfGf+L7YXotnZR uiaTO8dEQ3wU9PMI47+lesx0o2S21yuhUPFEbIqcxNffZTmj4I+wXnVUPHp0 DG3XTKixcTYO/LokFidvwLnFifjlUcyjj7K5rNGJfVSU+bwolGPufsN/Azvz VVYBtzVpcHfCYLouOI2+hgWMPurGGG1tIbEv4cQzsdQKe4nSsyqs/OtD6z// Cd3DGizYL+HRC49g2lXCNpPF2L/yCGSe5rNZLoz2LV1w7pYTnV/qCRPFp5KW +6F8MXUoNWaV4rWdLENaVYV8z0g6fTfn6xfDGB74CirDnVnzMI0HdnTki8U1 cL25CfeKunBk9n+4rx9IRemOei+NhdudESz4vVTcvhHIns8tqToAyPljwcyE Hjx99h5Ga8uwJsadwSn2eBm4VVxZUieW9E1nn9d7sKJ5sZjhpQG0TuLnV95M aU2gatNx4ZfugIWykdhcdgTmg4yxw+qC6Lswmkr18mh62B9Rwpf3rt/EssU+ zOhYzH8b54qFb2MY8teYNrnJ+GrQlZ6FwbjYzZZLPkSwpccxEVL3W+x89wAK ctm8N6UEGmb7MSokhrZtN1yDVo1jlwcuTON3DH7Ql29CJ4pA2RgM2vsFln8v wjBnAE0LFVi5WgGNuh25VNtA1O02ZdDDrbjoFMEJbp/EgJpilid34qGMw9jc 14XOmZcwb80fUTquhBOS7knijpyUbH3WiKzG7WiMk+Xe1QOp98WRm1IS0GGV NccGbYP1T38eX5op4jU+YMWR8bTpXC4sVqXT2RLsdbA/j0ZZU/HDSclShQ1C 3ugzHm7Zj/PuCdw4bium3NAX1w1UOdvhFzZ5m3Ju6l7EPg5mtERRaFUkcOIi f3oqatJK3oEnI3/h+roofP96HMvbNku8eybSf/R0rDsxgWdLzWH9bREqRDEb Zt6B89x4Rt/z5oq54TyRtwD/STvonk8I8z/EcGXfLEZsDeHT9n94YLQD6v0U OP5QIS0tVggvjzoktt1BechGrNlQiD4qAWw6PIzPrbJ4Z0gJZsxYBZXUQTTK 3YkslRNQL/HAqo1b8Le0TVSWfca+9eR+Hx+ekdVl5ZXjcJ4yio8j1ovWe4XM mi8YFFSKDQmusHjfhbczS9GttA2WeudR3XsSPt76BKuZX8RcFzUuTx7MExUD kNZnFP+dU+Coq778b4Auldc2CIOVK5Bx2xnGOs58eEuHny+dx+KWsbzlKWWx kv2oNcyly6jL+BjZi3ltEWg6b8oY//4cOuQQzCVprKp9h6L7MXw0YoNY4r4e P/suhPXS8bQ22QfLx2ZcrhPBek4XW2oncspCZ2aXzYfbiaPi9eckjg8NoYMW uDNCkQXq2bw/7wyePevIoGxfblPYh4MeA4mXvag92B8JEeFcU5nLkOhxPBPv y6+fZSl72YKdM2dhbnCL+CGeiISTU1DTYIA9Jl3YPc6IJRtmYVTZR0ydZM16 8wJ8HOjAGuM4MWbVXddBZ5pR/X0A7+QKPig8guit7fjzbJlYeDSBldc0+Cc6 CRcWujHTajLe5QVwZU9ZBrZGM+3KDyy9Xy55eyCPc3bfhrrcdDGtaT3Kx/RD xIpOlBuoxvXL+3Fvww/X2tGdeDJLVVR3DeQ2d1UmvZHjcSkvpvgP5cQvDyRK S46Jme6rUHbBjWfsEthLtzM8D99GU20o3WLr8MmxH9VO3cAmJ3lOHkcqOobD s6ARs5ck80ClBtfeuQ7nZsEKfxk++uhJt2mh/GFhzIlaASJGmje5qjslCYX9 ueLTQLav6oDEYA+m/YzkOgtTccL5DF7cHM2Xz8PQv/MkjjHOpW51Hv4z2Ymy GV+hV0OOvSaLQX3G8ZlpLY6umyOxrbwquqgpcYjeY0TfSue/0EEsGjVY3IE7 q4J1ePitHzPzO9B8lhqme+ny7z9PLmitgZphA/yeFjBnjqzQOj8WrYtkOP/O cKTjEE5cCGc3YydUr5yCrg0NaHoqYQ/9dBQtl4fWrcGYID3zUXbTka2fIr6o y0gSVxZz+YNY2r2IZXGcJ0+qVUJ9WgonS3n8V8AT8XJOD9qN68bG4X3pX7MK x+buhWvtVfFwppRn3ruzbeBghLVFI1JGggwxiI+eBLJgXDQnvH+CFbbbYfv1 KV7UjaLm+jxxM201Dss70TjMn4/n9OTIMj9qT9qGWTWdWHXtJ767PEH7qSno dmwcM8JVae7UignqX8Wgh+FcaJrOh683Y4HcaO5xsGbIrwTu2z0d70dtw9n8 t+hiG8OfGkcw0rMAWk327D9ivnjqPB/2Cx/jd54MlVyzGDJlL7ZU2aP6aT+h NFadWRP3oqtfOtdpDOPHeV8lYT1CcbQ2C31Ko1mbKM01L+L332zuWt2Gswmd eOvHAPaP7o3nizT5Qes1Uuu3o6zqKhIsW/H4ZQo8vr5Gp3db4WgynjUVuYjo ncSE7yele7IeMqOa0T19D9pmX8TG3scww2cNln5KRVGkD0fe6EjvU45cMdaL V3xN2KbkQd+lmly1uwWtO8cyqPMJ0W38T0ws9+M8Iy8+uxQlzUiwXTeclft6 ctjHEWw32omkwSOE59UL2K6Ry8vdM2k6yYMTmxywvHYYLA8twfjR7XjztwIP LMtQKWstKe72CpaGb9DpMmkR/B4fS23Y1NwTSn/78krQKC5Ot+GD4u6sOXBU TF8znhfXpEs+lagwfYTAiq8BrMJjbJ0wBScGHsGnH13Ye8RSYbD1HZTfnEVb Zzd811Diuzvq3D0sjFa9F2NG9gC6Wp/H5EwlKevH8FaSFfeFHUL1CHkaT/oJ lYA0TrMYBLUuN5CZdhFldR0wszWZvgeXYk6/LG6nr5DXuYy5hUn4MTSIf675 EQvu4HjuK+FTJEeD4DBRnnEI2BjMpF8pWLR6Py73D2Ob2jUU7Umk08pZ2K6b SaPq5egc9BSHZfbg/ohU6KxVZ5RJKtou5LHbdls6aMJ1cJg+ynpcF6eSv4rG C5P4Ld6E4yKn4NTfE5IVwSZYYDaAjT4NUFYZi/8e9OHg6RaUrOmIroPtWbhJ CQNUVqFBti8LyskPKmVoebNPRPVsw30RweOZtvSsKGCD9zihUViEnRe24Pah uWLfim3w8y5FRc5U/DYo4GnnQDalxmDdIzJtpj59B3RHKtR4cE86nwZ2p8yL mWJDaDhXdenEA2YHxPkpqZzhaoe5v5YgZWszNpxfglcywVAc8BrnN0fz6a0S 2mWcxvAnrRg1dRyO7U6T+JpnsWJAKU7rP0Hp0eGs/u1HRUk+Xt32ZlmsKQ2u K2L7FxVeuxnNDrfk2UWSQtd0be5e7sNdu/twqGyU6GLWld19VNnHxR5FRr7i gHwiW4P7MnGyMSb/nAaVoeO58FYh3+2cjrlSNx34L51bgqS8+3UUpgo/HrSz 5ZczXhy3SZGfHv/BWMcLGGTxEsUpgg+X6fLK5d+Yeb4Ghz0+IXjcIjHEXIPD knSYOCeXMar5PHa7WSzRKOSt+R3xa+R7qStkotk7BI0Vj7Gt3xj2P9qfRyz3 iYyCHDafkeHCdlB1rAxHWuiw/udNFEw7gTkSVUT8yqBziRnHp6ix9OAGmE80 57OvUt8+msezla7MKY+lT2kNmr6uEiEZK8XzD1258FgH2kw4D7n5DzF9eDC3 xIWwocCGBwOHM6r0Dj7v2YPe7VfE6rRquDnMh+yzZS5bP18Skieu3LutO99N 0KJwlHa6ch73PyzD8wHX4HvjNd4sToKu93WRcO8cquYfhkXaYvxyr8WbrNmY HT0TI9qs8PDZG9ibZvNW5/c4eKIZZQ8dOWLVdUSv1MPI3ufwMkKaYe+1+W6Q Gw8dS+OuN2Ew2zEMhlF1sNwYiRePLWn+2I4tJdnMmJTCn6tDcbtstTgQ2onr uRilZZ057XQMN83UpJ8JuedGIe73Nufs1Q5cJsmlQdZv4KIfv+Q9g0NiEFO/ nMTq6lz2OXgFSQ574ZFyC69r9gi3KCvOjEzkH/lLOLTMnLOkXD9aqEIp8Ts8 94zloeoMvvthTtPYVvGq83ds7LpJKMypEJqzp+L6X0UsdSPNXK/je4/7uJWd yn+dR7NhmSbPbFgLpYsTuDayHXX278Tytnpo1rjyTsAebHypycrwfJb+GAzL oCJqSWej414lelyJolaSHgZtSqF2r7VYe8yVO+9dQ7tjHU6rVmD94ypcdCym zAkl4ustcbc0C75L46Frm8X4K64cPi+EYQFbcHRmIe/mGUuK+ryH/0wJP//4 KAImBgs79SUYNVNVaFd/Ea/nb8D7Fz34emBXrO6qwgEhNlg9+Q8S5k3kqqAU ab735Nr6OFT0+A2/3VFSB+/MolcdJdNNBnCaWShlPDJZ9HYqMl6ai2lpifx6 8oawmzsHfY2HUmX4XMQkr4LTV2W6FBkyz1CJKzyT4ffMHobvL7mUPa/G6DOP cHp3FvX0YlhS5cFzzp7s/W0cc+fOw8ttnfjpZjwXK6iKG80joTw2BQqn1wl/ 9WTe/5HILXeM6CBnTL09ZZIpT2YLn9zPuLw8mVMMXmDIoYUi0HCR8D/aATdr VXlx6SfMWV6L8SEmdJFvwBbVCexyLIj/Ri9AtWIDdjxO5uIdW/B2Ywq7PDXn 8DPR4nHOHWiLDJ72GcDtC05KFneV9vB0TThNC6e/dqwwa03iZsX/cOO3E/qN eIfaxVri3zgfPmIkN9hEMWlIOfzPS/tybQwrn90Xkzb+hf3QLbjYK4quwhnD Ut7igFUSDT8sERNmJaAqT5uSFjt+cypg8+CO/JQ5F8edz0FWJo4Nh5TZ29wM ZQ1D6XfzMKbbx3DogcHYn6TK8QO9ULwwGGoBY+nYJscdDyehdHApVsaAqd4K YrJxgah3CKTHNEv23tuZrSVt0DENpOwsWxb3rYZGow7ytsnxlm6qyAsz5zm/ NxiS+ALnbJVg9NAU1/XNGLa3SiR0D2PXjd35sksXDo35hWjvH7ia5k2d834s tdGlUoIjUk7PwHfrIgw/PpGrlZX5p18I78dOFxprj2DF3PdCEScRMEzKm7JJ 9Mzpzrl5EvZrjKVvYDir+laIe7WbXOed9OO9u9YM7RaE+YffYEVmR2amDuPd yUmczP68GFmC1iVNos/pUO6u0sOG1H1Y9uE6ii7Ic0Y3Qavj9fg3VJanfmhx zt1PSOtUDZttq4W/cRIPZ+fy1OatolPFQE4+fUqcabkPXTlrfDqYDTmfHugU swRro+5g8s5POBTpzHzrYi50+oftW26it68/xxtacdeZNzAd9wilq0+iQisZ +4MuYUb4aejaPcKQR17wV1VgwKf/cNfsAd5NMqFJb3eq2XfmjLM7hMN5d8b1 y6HjcCdqHwqjX/AIdjpzAD9e3MVjzW8IfXkfqXYyvBG9UzJaP0loOsSzLkig w6QuXCc6Ms5Bwv7/ZUtcFgXS5KwRapPlWOO8GyqHclma4Ya0sEZk7zXjjStH 0T3UhnUpcfBu7MapE1JQeeg5xh64g/cv9SiZlssd+bJMqV8rOsX1Zej2ZtG8 24Ypx3WY8rMdXbfbMfZVIH9oRVD3ug7j9yZSZv9O8c7pO8LcG1F4qxtvPrYT s4Qt3x4Ywqg1o3iswZutvxfDb14JLjRcFf1WFrCpty3TbMypU5NNX8Nc5O4P pEWpGjdtq0B5X0++6b0G7d3HYILeIhFqMZiRDxfj+PxQfv2qy7qyGjFFeQRO Sll2xD1f+v5nym62sZzs35Hha0ay6/Kf2LrbGEZTG8U2jRUYcVEdO+x8MeFN CW/+y+TZIFWmdQrnseWq9CwLZ/0cWT6P14XMsN6c+iMfLqEF7O3cgUm3c/H4 vA6DR74Q4WvjOb/PXIggBV4OOoah/0bhsOZLkbX5FLaM3gM1lY1i2xFvkVoV x/Rlaex44isOm14RR6eqcEmcEZZt3Qj58l5c1kGJQc97CMnCBmwYq0wL03Ae FUWw3fAEK3t15/TVp9BUeQWrr9eLpM53RWtzDtvmDGJ8yDp0KdLli4U96adh xfweg1EeZUKHxxocP7oQ67caM/N7MW+UJNJAbSDjskMZFnsUCdtjGHjPhvGP CmiuniFqDPe7DrhviaSduZySCtZ2uIq2Lf1ps1nQa+JlFLmHE+t24fPN7Xj6 dBc+WGli4uscrD2pw+/5f8TITr8Q/vgSMpr9aD7tK548S+Jjm43IXm2JX6r9 udHci/30BBJc7ooNSoo4tng7jMOr0ee7M70tg4ghRRh6KYUaM5N4+YwNnJHH nb0URa2/EffPnyGsKusQLwHrqt6KjeeTuc73HJp3dKRKfCfh99STF7rVuxb/ ihMrrm2BY68nkmb3JK4KdqD87HH0T5Dh8SkFtJnSIubVX8enoymMUlGnRUYc p6Zdg/cOaw6bO1lkd+1NOfkSHpodw41/VBijUCu+ePrwloUzeylGcMboKrxX 3g/bVBea5BhyXQPYfM6ESZ52PGGtApNp//DvBxEzXZeG3TeIPwdLUb7hsatm wQ5sH2YL15IWnEidJnaqHBZPd3yR/Jlfieg5j3E61xSLgutw5UQ679TrSVwT mnBu11qRXDuSBouSqZOXhDfVAXzVebtknvtz3L70CmN+hcO1Lpuzsvvwl28o PZRqEbzKCcNUN8Ol5yimTOtFJanX3KYq8+c58VazDofsdONh1QYsqHyFqtUW rLXaij/lypgYrweNnROROqMfh4hNuIBInkUCdTM7cGPsTJH3YTBTvD15futT RDodEDsKnBl2PI2P1M/AzrGAq5OzGTXDAR3cvHg5cBT/SXw52M+GY//Mg6v3 LHH8iiFn9BnI5hddOUz7lpThe7OnT19uWBLF8ORhPB6QwnEPEih0xrBYNhUP KhXx5EIvnA8cxgPJGUz28+O7UxOx9bIfv0kzfe+aTry6azwufdanmuFkjBq+ 03XbSF0h1zeVLx935pAWX2Q+82XKjjQ65UoQnJPJ8DkdONvLiCY7gEOxSQwJ 68Lktm04ftsDN+YOpZt2Nk3+mDPCTJ2dZFREa3APevq0Y26wNr7HJguPDl5M T/Djpaxitgf9xBQ7Ay5YY0O5IWZUKfwlZB89E80rs2iReg1zYu9DOdMcR6Ms 2eq5DnELE+m1z5/DvoyjxvXf2Fm7ByXHdfk+XWBRqgErji+BWq4q119txTXv 9xigrsRtuvl4cU2B/T58xkMDTT6tfIjKt6uRcbNCrGj0khJDR57b502GG7Fg xEDEPzuKq4pLMLfjb+i/axfywbeQtskUps1H0H+wBUNDViJywg/EjI1k9y1W HNkvSezulMW3riXUG+pOu+WNCH16U8x9M5j1RfFc5TCET1rGCNWCl0L/4Fj2 Vk9GpvdEzlEtR6ilMgua6qDdrM47pa+F1q9cUaGug6WqU9G+dSc6/06HB1qw tnU5aktf4dr125jg147Kddcl3woD2CjtuI6jq+Eck8WVLa6c5tkH/VseYeSP a6jUieX4cndOdi7guiWjueD2HkSPNeOUrjq4Omc3Yp+9w131bAbMT4b9JXO+ 0u8LzyPWYm7hLJh17sGuBzzE5x5jOeL6UcwNWSwuXb8vXvrp8+0qD7Higi9P 2wVx3SV7yrzJ4ou4HPo1B/KGTQljF8tRNlAVoSXeNImXEZWZm8Xit6fgKtph vlqG2cZ1YlbKJGoNFXC87cITlhZY7bkKTS91+Du+XPJYLRyXZ3hSdYIMb4cW iitXTbhp337U74pj7wHp6NbQm7KTtqJxrpTvg8dx38liJhU/xYZMeQxersvS IQOZLN2LjYbrsdE/hPa97Kj/6hhMvwbja3kTjv/M4gejYmb9HCJut9eKfUWL MdCoJ56Pt+dBaWevO2iNk3PTuazIEkPePEba6GfYOSKLRQVaeBIg9dz4XP7Y 8wOWPRuwZ6Q8e4lDuNFlOgzqhjBGr1TysFWZH4avF/Jax8QwB2XEH9gvMjb+ lWzgLcnrlXWQcBBve/uyh/MOyZZR1jzUqEynHjuEbXkmj1QsxK6d7zBWurOb WmT5qTEAnlMsaeRtRoMO8qxpCIR+aT4MNj8VWoG+jH2WzPyf91CyroSfRydJ jj0s4cuNQZTNmAFXjc/oFqTNq8uO4t6mWtclhzeKx9aOtJ3dmW52S6AS1oEP swVfjlblDvfFwsxQlcE5mpIDe45AocITi98Z8nBwM3YdsOYIeUu6/VTAiEI5 jhsUyEW130WG8gHJUykLBXiNwHiRIjY/sqUmzLgp3p8D958QMyaeQIGkC9/d zMP86lvIXGfI5dUTef2RH2/bS3NYZ7qYb7Ift3aE07S9KwduX4r69baY5KjM /E72OLZJjwMctVj5XuqHBx6JVSONeen+fnH9gSy9/YayU705m6qKaDxPndd+ d6XK2+0IavfkuLR64RYm3cPhPhxlWofaLothu0OZgZabsDNRjWrdQW2NSTwd kscdSX5cPS+WVbVuLHmuwJB7Z6B86Tu+L9+AXb/P4u6lt0hIKqbE4aBkd798 fp/UjapK2TwcWkyDKabckT6cH8Re4dqizHOaDuAseyEai7hbbSHGasijOnMi DRqK+KrWCA1zp2J/9n0E9ToOOSsNLvnnypSuWnwg9iG0+DT26W4Gjf9ixMEH OLHuIkZu8+UbgwtOXYIH8qSDtFfNXiJ1pzkvlJzE0lNk0puBPGC2C7vGuTGy xzcc1Pdjy3V3BGT/EYP0nPD8wEr0bh8L5YM2Yt7Mj/hmpics3ijw7eJfqJoS wn/6DeiS1JtWQxL5cfwgvn/SjeuVxnHMrnaoDB0JjWGqLHPbAfvVvXhd2ZhR nydijFkLjCOGs1OEP471Pg/7Z69EbvJJXFpkwHVL52G5hiUH0plQ2SnJ+z5N 9F7szBUrEnF46EQe3qTNIE0zHl25UAQk53LLLiMmVmjQcGhHlg0r4ZJ70t59 YMj8Xzn0WG3H2y69GDx3BE9+8eSeY97s4SSwIq87K5LAhIsRdLecAcNbx4Tm SFfJ2iuLUD48nzvPe0JWM5pdZ3RmzqcDOG9hwvDi5zigaI8x9itxTusX1hZp UkUuAE9UhjBueAhm2w6hxpZMLpwoQ99enbjmSbMYlNiMTQ1D+Fd1uDj3bBhm b/vnqvFSmcnzfLl0dyB8/oum26MZeGCly813Qql56zdKPr3E9TlePJL5F8/L teF6bAhva59BvEtf/nznypfdFBj0oQxu7jJ8vcSWPpV+ENb+3Nfpmig+WC7C Hpbhd7d+6CKXRCODGA4+3Yjm/T3xX2Mc5+cE8AaOYdKmnlQcsAN7Rrng0aZk WLdqsP6YE3uaqHOAziimN8rTc/dXmJWTeh2OwP6WPbMc8hBxLZvW2cVcvGAf 5upLGGmwU3gktONGqwUDG9Zj0ZoMxOQaMGLtbcxcuxIRt0y40Pk+3mYsRGbQ ffjcCeDWzvrMXZ7HwVLvzC/R4lrDfrTYm8FV0OHMVfocOu+e8D75C7bddkHt TypjOYA9h3eg/ZxINvVx5F0HNe5qnEgnG3BybzURUroPs1K3g2sd2HLwMha4 NuHnwvVYV9eP/c88w6i2XPa9twt2S7vy8rEZiJqwFMmdiMq1g3jA6BJuSV2p 8pse1xp3YNuZyVA8GSgq+9dDT3MrYqo1aXXUkamSrpIN8nJ4MTaFtZMtKOtx Cpw2F3lztcWybkb82jeZNsqytLCahj/PXVlr3I9X11/ELcYwPXYzvNbLs3/P zpJtfY9gwYtAatYqcY3KcJ5Iug61Xa7sZJrOf6PH80ZDm3g30oqWQ7ylK3wK ileA9nFt8F2lx6igTP7MHI7X7ZbU1avEV29XbhmphW+zGnCs5hSy90xDw6gJ 7LlNg1v+aHGQHrjUfhHupW6EUXIqtfPTeeRvjrg4yIw/B03kiWm6cNq6AV2y 3Zn/fYB0nusQtMWaJzQFJ0fIcMwNR3gt86Jbsx3/09flvZ5nXTPidOmcLSd6 BCRwl8ddV7mFTZC51BdfjgTTJM6cD5aO4vXyY/Bt6cju8+aLvZ7uXGkjw+VP t2Fi796cvK2Q3tUj0OOWI27JL8A5DGOT9L20BhN+ujeQ6jI70XpimYvfoUIp 66+UXLkZQsV2PxFztgsuHjagQ8oZNH5eg1cB9lzRsgy/yl/jz6kinpifztT9 wzH9VHfUjI7mBDMXel3uQg89ewQ+VeXdKHMU3nCTNF3Q5scD5LcEXYz/pYMh X4sYWHQWkwMsqJuSzb1HTqN6RjZ/dO9CmqzAPVNvjosfwe4tvSWvvi9Bn4Nv MHHSBmhUR3PG+Y3oNlGVr3YF8udKeyw+uAzZyQuR3jiSv4Nyebesv8icNIl9 JBa0PfoU4eletPqWRmXrXIavqkPeqiBeWhFCyaYNaJ3jQqstgbQ6ogrVCC10 eOjDE49PYZPjArQ060rCC2zZb5csq1THUHNaT5z81puBNbEM4woR6GvANeON eOmEJqP+JmBR1D+J1xwrnFnyQuK5O4w5BgsxVJLMVI3xtAmcLdob/LjC1oaO V/8TXVW7YkijveRo0ynon+zDOtVxZHCeyNNcgBKlQVTstRrD+o1m4uliVul2 gYJ2KbyNusKmtBPSZbdiyRcDjqn7jZFlA6hgJqFL03lMau4lzVQjHmoJ48kD vVmwOI77x1jRJ/QeJM0XcXV8IZ/63YYphzMkzYsajRJx/OUazBg/AGU5L9Fi 1YIV2b3YNHkC57tn8NP0LF48vBnK9aO4et9OfC7+C/UK0vlYJfTCngoD6w84 vucSXnbQ5K1Nn3BaxR8du6Syj0cf0m88W73dqFgkYem6eNYP8OGi9b4YkhuH 7UNLqDWvL8svzEDabiWel3xFoUIpcq2lPfbGmR/n+/GAujsbzuuz8mkg7ybI sljade/TLfgtL5iqVpvgoFCFwNM7MbEhivb/onl5vTMfLl0npt5MZqyDDRWj s6h38SwWzXIkFaaLGndlad7/Q5f8HF54fhLBduqsuWDE73tPicDF7ejgsQr9 yzOgnz+GM2UW4tzd5XhSvQrrQz1ZNkWW2mIkvbuFUH3YYLhbShkttQ/0C27j fWh/fqnegaxvjpww7QPsXv7EifjRTK9y5tF4Ocm+4wewKOY1XmzuA7OxFVKv 1+Ahr2t428WIUy7OQnqgK68s8WLq7Tb8+ZbLsYWP4HXXm9b/FPisNZc+P3/g rJs9ceIlTGWCOHJTLxr/S+fD/guwu3s/+tUVszV1N4x7PsWnOUux8lE6z7CE Cp3Xil++awCPVHaM7i3q0/358E0L5nRcKrbo3sHgHi8kJf1606ltOo6UdeTl +xP4KXgmutZ2RNdxPZl6tyvdtZRYp+jGA1vXIfJYI27fGMFzQ+8KK/tzolfK L8y5vR/3nsdR44E8uydH8J9PMMM/r8PHZG8Wd7Pm8SvXxNTgKyhYGcOyHmZs zozgiF+/EazTiinWzejS2RgGT9olW1u16L/nLGpUD4qDNQa8vVRJCJMlIv/j aYh+tzGxOpPq3kE0Vy/kzm5ezLaOxYxDgzjljPTcfPoLr7pGPDV24ZLPdvxR pQjVpgZx3qobnMMeSKreB/Cq13Y01ilzUD9bPGkcxKKclWJr8gtkJWbgguwz DK83pA4NuNKaWDR1LfSkeT3s+3guXJZNtdMd8XDaRoy5mCA2a1Qicnx/bt9E WnzSEiNfvUD/Ck2cOnEBXx8kU9PxB9od21F9tguf3uvB5iOajK5RpAh6L1GL 1uVUy71wSZ4q6We0HXvkwhg5OhOFU+5hk7oxFU13wjg0hxudimhlt0zYbQ1n wsxRyDL5gi9n1kPeYg0KR0TSZ/8JBD96iydaOuzV3iC66L8Ts3R689EqDV6M taD/kB2Yc309Zpf3YtWFTdBYl84NnTox8pLg64obSLeFxLmuDw01H7rWDRnP 4P+G0tv7Mq59Lha2g83Q500lVrhMwZ5l9/HscxqVTq1CzbrN4nnyb1F1aCOK V04TU08/FJ1W+VH1uwxSTuiy5vxbLPMx4wy/SdQoAn5rzZZA5xbG2bRj2l5t Rm8O4D7/pzgeGsGZzyZRrWU2NC/0xNPgofw09iwipYwdIwlh/Yd+dF3mzTtz hzBnmxfH3fPH5x3OtJDLw7f78nwS3JG3I2uQ3fZGTPDswmfq46lmaMs9nT9J xsSdc9VZ4sG/r5JROt6FP5bm4bq7Hvu5rIfT5Fp873sY27vnoXKTEYZ0vSqG 9Y+U5nJ/3o7JgH1YGL/oeLJfaAiD8ydia/sk0jKfIzqtg/pAbTbdGS/s9Bfh 2r8KYVLcnREO9jwt05eONUockVqD8QpPhMRvGBPWx3NBZRpnPVNjb/Ma/GY+ F1u58YpSCffrP8aRBX1oaSDt7CmKXDfEBP5WyTgh1DhoRxE3jzGh1apI/m0Z iVWHdCSNU214qFc3Gn8I5otYO5E1P5L4IihCNKDQQ8qHegNo+9KIO25qcr6X BfrajmC2yWYs+hBO94VWGGPzTaLe94jY/PA+zt7S5rUMwfqsISKjyRZN74L5 +0YaFdWk/K+mRitLLbaf/I4bBl6QuRfC4f2OY9JOX5r9HcM4ySsMlfLMn7ln sERdwuX/BAO2O9PaMICmf+sh5H05Q/MOkhbV4EehIZxffECJaU/WNshyXII+ 7wZUYz0MxDN6YXAqxSzK40reP2G/M5t9htfBPjmeSR8MWNX/L0bdGcG4MzKS vJYJ9F9iRdHkwr1BAeiTlsYbfzvx410T3nixE/WSSfTveRwuUped7RzFVxWm /KxvyG3qLhwQkcnrero80+0u1i2K4b0CRyhOSWSiyVxYViXylUc4P6y9IUrL 9qJz1RJh1d2BB7zzhdP0h3gRaYOJv/dha4ku6zo9wINVzpypE0THxmVQO/dI TJx5FF1ap0M7wYw+2alU1jfigD+LhWHTWHE8YC8s0kwwaMVP6GwPQcbAFtFr jyYXDDTgx3N+dO7YjuTRRySRlp5seXIVS+MK4PBzl7DZVgnTFer8ePad2GG6 Dn9SnPlie39ev6DClemG/NKpGxtXd6dnnhsn63pj0+xwzs8iPknvl2nTNJiG TUCfEdr48DmClwweoDGyDohsgWH5EQy2MMf1QWqMMarEvKYB1Il+CZqX437l KVz9USvxsHgn6fBTiVeuhaJcM42Xwxfj/OYSvh7owFtv4rknXxVTNM6hewcw 6nu8iN1Vg5s2WuKp20AGa9py6F0p/+V2wa93T0SbwWeYR6Tzy9DxzNBO421N c1paqeLjZnnuioHkep8DqNzRjt4dr6FmUoT43dOFQ4LWYZGbu7hb1wsDVSTs 2UOBraHm7JZsAvXJikJzTAq7K+hQIzid4zy0aPNfBi2WC+R2zmG4+2jOd+6J 01enoDQ1i2MsRtHGQur/m1/i1yEPmhUtgdanSfy6IogGR8uRrnIabz7fxeV/ GSh0OoYuDlF8Xn8Jw6ruY4PFU3xYHs+DYhSj/xvLV0W3saFkH84FefFtXBlK zihBMSGJ89X1ODNzAPzCOlDUhvDWhM0wHDiJu4/Ww7dLfzwY/0Ysrm5G2FAP qKyw5bS9EzjI7hA6Kwux5XYIjy56goPGqxFb8BhBOa9E2eEYpuQkM618DJ8G eUp3oB9fHwvikekG9C/eBCdfNwZPqoHrR3+cL04Wh26XYMLXQnFXOrdZX7Pp OU6Pp/RCOKDvGEnYlB5MGOTEBaXXxRbvFFqvkWePyHQxvD6Mh+q1WHHVi/k1 HZlzawRbEry5VVWHW484cqDZecge+CaWHhnF/OvKPKBVwqhCT/wttcFuo59Y cMaeymduofSsCdKXLUfYoG+I3xwN+SPprJpzCuOfeNDwmS9dH3Zii3wvinIv YIoRHA0Hs23yYKr6m1LxlwUjdMqxfY85nIY40HbzB/Qcqy/RanPk3HgpP6RE wbWnPK8vVkKiviJfV+/F4dWPUNI8hE0GQew91Qk+ixMQNbodFy+cQ/zaUqk/ eGJc6WkUnLWggfS8PXm2GmecfVGROh9/NXvy+ooP2BsuI3KUJmOnjzt/61Xg yZBhtFryG6vPjWHHRY/wqCVXbFlhwTTTt3AP6Ua56YH8WDuMM56Y0srLn/Ib ekie6Jugf4MZ/YNmodnDmbZTfPn+dysu3gnl8Fg1mJpnSZ3xCvp9bcOs0mli 0LghNMt0Z48qGToPmgXTriW82TuGU94fg+eR7jxx9RU6/vuFAyfTqXphu4jT IvveNuJhhyWw6i9l2R2ezK6dgJsXp8PBdgxbrt9An+PptI5PYMc8RUZP9GKX 5lN4kJ9H+/sqTK4K4JWD04T+LynnKetxxSgLNs+Sul4y+DakH7/qONFwYl8O GDUak2RHMOz+XdzcXYYnwX68WhHEqCfxbNj+HLexXPTudhk7pLt2Y2sJfrc9 wZrPcfQ9/EVMj7XDfZ916JGzF8ftydWtM/D9ZhDuWobAeOBplEtzePw4LX6x j+CTfX8R6+3AnScXY425Bv0G2yDvyCRheKuH2KGbyKSDxZLM6A9Q8QZddNJY czCLT9yHMMB1HJ9NXSeWnjkpcbFRpG+riehsZchnanfF1tHyULiYxrH7C1g6 OQJ/DgYyP+AEbG6ncPjyjxggdYcLy7No+knaA+VlomGl4ECfm5j8xoSf92+C 4pws+sm/Q2pf8lnWQXSykP73GwU0pBXxyIVgVibYU2u+IWcpJfL+584sclwE bSkjVVyLhbruejyuj2eLSyTf2mrxbdpevHmYxxsehRwhPUtzZ/RkdZIy7jyQ w17pnmnnHEMH659wOXkT92b+k+jaSj8/8Q57Ol1GakEzeo4JZtctI0X308Pg NHAUh74oF52ChtLvTBUss/0wcIka5VrdOH/UKvHhcU/uXHMR2rsyOcN/OKfN UYBb+AVMSFqAwRH7xSB3cz6svSLsHkdiglUojUK/iEdr4+m1Yx4Meodj0OxA jJ1YJ+4Zd2XHYh3OeJuDc3K+UHUopP2CTYiLn4ofA0L4dHQClpZYo2DGEN4z 9+QKRKLW9xmMR2cIW4VVGFdix4PD36GsvYA3zXN4Sm2uaFqRzrBGWaY+G8E+ u8vhPu8UDG1TeP/PIfzID2PbFmc+SAtgu+0QqUfGkBcd8c0jDVbdc9lecRqP U7YgbFIme6xVxmwfHc4sPe0aUjCQ24xseS80kZ0jBctG+zFwzwpREgz28NXk 1N9dWSSrQMk6Oz45cgrZs6/BqHchp7b7iyWV5BqNvqybZ8jzd/M5St2LzXtz aRfWkZpHu1KpdSByuiWysPE12uNTGeqvh6ibm5HWyRPv1l3DxW7L4LpIEeuW BXHICiUO+7oLHWK8uXTfT9f5OeqYkGXOqr2L8N66DwdeMmJEySwx4YMcvQI7 sE37J+xvyGGQRzIH1WjQ/HkyXYsUqFgfyT879kqzPgvprU0ITFPnP7WJrJAb zQX/zHmx+jMeFUTCt86Hq67FUmtJA6qkbNksN44PR0lzuTCK1vnumP03ky8m GTBsjAa8BipQ82cKZ8SlsfX/Z0N2rhg+2YeFicpcO7IOOzsfxjKLsVjmLYv8 VVdwMf61OLDIRVQ4N6CPgjI/FlzC07TBnHIrB5LoUUxs1KN8zDBKFv0SldWy 9FaeJgYilVuKf4qbh7Wh3GOk5NuwZfg1+wMylo1kgVY6Zzul488OCy543yi5 KnXjui/xNGpL5KP9idweloFmF1vGlPehzZZ49MjuzvcqeXTbNRQDO5pxhMp8 lPxOo01rIsJqY3hqjb24mi9LlenDsbJBGYee2HOAjpu420GTn2Omw95iEN3/ fcB2uxzJrS3VUPOpg6bmAH6Q3pOypgrheDqBVwZuw5e9KTyTsB7vp+ZxyIwE mqxchgnb9fh702aUn2+RXNr3VCjaFbGDti81F8djxMTP6LUiDlcaluJD9Al0 mLwZtpNk2K4oT8utzvSZKUu5ZRHUHCHdfS8j1rCA54rjGPX4oxgXIMcZBgF8 MM6V30bX45ztFiyVdod/5F0sXz2Bd7aZcvjUWswxGEGM8eaeB5ux3qMN4w8r Mq50MZ7+eix0ztSj5e0YvlCtx+/V73Et8r6Y2NeTC8Vl8avehHVWF/FDdgtE 5VbEd5DhkfCZ4rFrHvsWF9BzoQk25Cpj/ef3Qs71p+uxcBk4vrRBe52ER872 xYKeYdymYSI2fU2n8oCOVD+0TWze2AkjF+zAb80E7lPqytwWPw438OSbo+mU 8fNh6RYvjHzwW5iHePHdcDfa9lDhquRjkgRTfXHMxY0bjUfw2sfO/LqpBtEb TriKSieeDNyG/dMH866qPjsoz4Jk6glU1mVwtViJvDl5/Oh7HO9Hh8NoENln z1BcMNRiq+xwusvqsmzjWejfqhaT63rwikI+o25JZ5ylwY/PvsLaV/qbJyNx YLIL3lb7YqXTDVf/nHw6ojevXGzC2WULxbYLnijvr8Tm9epcn/dDWE+LZcz9 5YjUH8FR1Z7c+U06f9sn8FVRoXHcYWE/Zx3SHiwXG9rWipKY1WjY6c6FI/sQ LWCtzEoRsUONIVKXObGhAiKzJ/utLuZkJV1u7ljINWOfQbvdVjI2VIeaJuSX D0o4lqzPU/UPhYJPq3hXoC3NRD1UjxlL/QOZdBw0joM6K3DK3t+SX1v7c3Gg JW8HKKHhwFEo+izF3QhDekb0wJ89GdzxyFLSdXsRLlV+gsyfHBQ/keHyyBI+ hTbmHJyKjcfLoL94LW7v7ccbX624yKITDxs9xnXLSpQaWQgXxfu4v1uPRftD sWaLE3utkc5/tmDHVEVWbc/lnbrjoqRqtMSpnHi54Q3+q5P6dR9Lakw9CDcx lFEyOrBS+Iunre8h5LaIBXf1YP7HmHv8FOkmieaOAQZ8mC914AxFJg9X48ey P6JtlxX7azlz0Qwznl5qwK0ZK7GmqpD/9i2QlFdtE2v3zES9zhg6LrXk75AO PF/4EDY7i1i+M5XnS+2ZV2LCZWodmGM7EyuVL+HBoxaxQTpz1z+hDMZAOi6O 4oSWawgcZMenZ60Qc8iG1uYrhYdaPnRPluFgmzbTXB3JjG24POQvcodpctDG zlQxvI9VlNDnaEexIWAGbuvL8ca5u/ggZfIOfz+KZoViHpugwckuPXCmbThl zvrww57udBhPZm3+Jjm9aTuiXbcgdnEAR4nOeHXRDF+GkfvaqrDGzA8Rjd9w ptMJqBrl8dmHUTQprIa71gxxc7IDF7SY8ndTGK/mB/BIPzWOsTNhV91Y3l49 mvN2mvLPzgrXEoVs/reoGeecdsHKWon3Y4toNNdOWo2fUfU4FFaOg/FgVhkO X01AxWhZ5l24i9fSM3j3WUcG/jDkkyBnnlySjRCN1TDNDmSHq30xdVwPJoVt wWXNfH6J7cFw33dYXx8qIjYuFdPcjFk1ypovO7+VRHUaDblZxSzdv9q1yw5j KMaNwMiVE3nubRDPRJVgXWkKvaZ14JL34Twpq0PDhN/43dGXhisKGGDtzhRp pleFS70jKF36/QX4WJUl9Q5weGMkjUPMuTdPm68WBok9RX9QXLhfLNIOYNLN eEzpnM5pj8MRZpjC5c+kPbYmnMcuqkn3eD9O60URCwOY0KOE492vCsewaN73 EJKaPCvq3OrLDJ3b0Jzpy39Nb6AclcFnt3vxW4UVV898AOOLJ9Blcx4v+7iJ PgbTxTLzFOau7csVDVZU7G1H5QujebbbUMS4pPDof0684GnNP9Up7FDtxR2Z OSLvujc1n6+S9Fs4iU7TfTmjZiSrZ7riolsK5ylM4J41htQJLhPrbkQLVSdf 7l5VLg55NIiPj6OkPq3GBQUCFr+PwP5fMY8WzsV7Jwc+dR7OZaaTgA0fcbZD m6RlTj+q9OmMow7ZImHPUBGaG8rUzpHcn+qGxvnD2GrSHZH/vmCD3Eg6yfyS jIpSFZ0b49nZSoOv3+dz7PAiXin04rb0RL7fNQMxLS7M+O7CnAAbTol2oGOs H8c75ovxhVVQ7V1M59GnRdPLu1h8X8JfWh/xZuN26GxVxY0yPf7Zp0W1+un4 mOkLmXEdxd15pqx514dZ3qbQ76RA3wKp98zrwMU/BWuNJ4qPal/QJtuBZw+4 /4+C84zr8e3DcBNFu1DSUBq0S6l+13mmtEuDUkp7KaJBRrKFrMjKzPib2UKy yd6ZWZmJkBUiz+95f3/ucV3X9zyP483NeZq+cIIMr9eM4ZG2BB7r58OUGQ3I Ct0D2U0fEFUegPbDtpCTMlvKTUMu6+Yr7UcHdrfOYcDxN5DVvoavenHMLDMk rPR4/IU8D8ReEjV1HbBeYTgz9vXjqlgHjDoewyXP3sDGYyPqOyXhw49+DPx2 ALpne9H9QT6jdT243/kfjlREsvOivphWfB2P/x3FgWULhI9rPjOUNNmlaw30 jkTz2flhrFBRFr/uzEJDuDYv5SwAug/AchNdLC1NxUCdDQhwqILz0DZcP9yI 7ksDoNs9i8XaJ3F1zmx0UTRH4JpruG6gxrKAx2KZUzrvBl/C5vhcdNbpjKVm U/HthKWwMdLAMrNyHB/7C8XTovmv5SBcfDw5y9+aWUba+FpbxMWJjzBUYQ8u L+zNxb6zsPVkCH/6OFNPYSwjkpzY2XG3CCkpwbpe00XSiGFILFDl3iuFTJi4 DzOuFlF7wxiGqD5Hla0rw3r7s+TlbqHXfhilLkuxa+lffLAbQa2osby02YMF 4515Z9YvXL/Ti/kFk+kYeAJnBi2Hwh1HuCz2RfGyhbiqrcHcAEP3OmHLbLl/ qHT14AXjNVi3wI6e8SdRUGYNh7ByJGzvyZHtcvQsCRMP1Qew7vs1mNYoiu7t ttQLDRe5I8czsYsXs44vdw8b9sdt9pb+HD+vByV9xkO/XBkj/p4Wc15HcPuv QyhPP4fBYan8fvyB6PLPkdM9R3D5zCAeStiBjNdjeWqcGmfGqdP950Icicng vPzVmF+VzLEDt+N09n/oplsq3jd3puS6I+3dFdhh3FrsWtOA4nkWtFG24pSL z3H38BVJWEasyM/x5uYtETw1qhg+F6QzMqMDSntfxmFZR5p8MsbO9y4cMOOE 2OtMLHVQoN75cMYnboHjEXMuuGPNf2ljOOrFGYQPPYcLf72hqHgA1V/7o7Ih iGmNn7HgSACtj8hAdBxKv14+lO+awONfp2NTyCFgU0eahpfC4582mg/3YZpC C3rXq+BuxGI4RnmL+7LqfN/DhosXynFd9w6Y9KUef5N6IOTqUKarzkJCxg5c C/Fng4kO89YY4dm+98K2SwfM6tmMu5ElWDynRGL2aAU2ZQ/hqqtLsKv/Nfdp AVbUuvkaHrl+bB80DG+954vFsUP4eNlgtvhkY3lsCsNvjcem72m8s74UDYXP hHLHVBbvmo3QF4ZMsI7Aac88breMZUfmo77lL/pO1mDAuyPi6IQgIXd6GPvN MEDpr704FjiGs28tQy8nBeKmBkO/uvFkRQfxrl7A+8sA4vRv2Mrk89vqHKlT LEOdVj/K91uAPd+e4s/iCey4sxljmuz4xCCZj+tmo3BHlETzqQbiPK9LHWk0 //NLwLavkUi8EcTXZyfg6KpdqF2Sje2iP58ZqQu/qWoozihk3bUS9689lsO1 vDcjhQaj53XHsvi++BmrTcXxHbBuWjKL35Tj4vk8uhom0exlHo95N2HnyRei 3xB3mH7KY91nY7ysDGPRgCNit9SxnkTLM/K5DJ2VvIV9ljY/hQ2g8Q01Pjg+ if2e+PGTbFfMabMWO2UWo8k2mQaDbfjzuwpM/kxgu04MfSaNwOk3B2DUoiCs a5SxYrkb5XpG0q/TYD4292SH9H6YaJ0gGVWwVtwoK8VyxwqoJBdxgkMJmr6m c3FcN3ac7sLZdaPYVr4UD2w6csDqf1i6rT/TdSz53q6neLSkFvGKk2m/TrpT 67dLxmp0d192psattiSec+szuSpmCnISZkuWHyzE9BYFpuWPpl2/0zBS3CuJ XX0HamF3cCCtLysl3yUV64ZQZ9BAXuwgkD4knK2231Aq9cHhUqbomPZD/Bum AKWUaA5TbMTKMkfOzNqMIYcns1xfHj/32En9z5oXNhViWa45hH0Njk1X4hvb EfBsHM1OMs2QDQYd3brRJucl3lYr4N3hwSg/pQGfynOQNRnIbi4PkeDZl18V y/H8j/QM1wRy6fnRUjb04oW6BRj8PpT3mn4iL16N6putcPhAhdi/TTA3aBxX x1lzdJYpn6cGoCE5QxxqvIWVR+7A3S0benfe43pgHJdK10RpryKn1Big9el2 6Kz8IRLevEfFFFUo13fm+87F6FdixtJhM3DffjmynzdivtF75PbVwYQVcUx5 osx6bEHojnG0HDVNVPmYCrdWP2wz2yXG1lsxN7kQW+XaoS/1TWEWyKcyOyWh D/MZ+MAOF7OMmbcskcf9/RFzP4mW5aq4P0YWc4+NptyiDcj0sKC9xjMhem9B 7SU/VqeeFNl5mzBkuYdk7qtfCLuoKNmUeB2Jw4P5ss5Z6AzsR7U3W0TTwNfi ktYRnDFuR0SILt+W9OJcGV229lfF54mPUbk6Gl7uL5FaWIaoormYU9qdTtuM GOXal87P5olp7fpsGa/A5sL36LUxHj/V5+CH3AjGWmowTNpx17t1YJ/gAXSf 2I4MvXrswRRcLP+OLkq6Ym/AJPFlrpa0q4exm3UrlCti+eW1HGdeHM67f2zE 0eKH7kM+nkBbU18e97LGhBgDTijOwe0gF1bckkLJ4GOi04of2DHNjm46jyDT uBkbByzClwJ7LnbNkBQVbBIdpJc9UJfj0c0deDBdDpU53fjCNYUjck14UtGe pusO4/mEPrwdOYyly3oxdRzY4paESyrrxZ1va4X1zjDmZRnjYYk39881ZJuB IbX/hnHiliL+0vbGtKhMYXb1HHr1foB/f05KGud+FxppN4RdoQbddswSTzAQ Pq9OQ3uaM41ldrk7pPTm2FGOzDSLRWPWCLoWh3N7cyWG+Noyf/YoatbZc0nL CbxOUmFJsS6K9ydJHg0bieBFoQhKlubjO0NWGHpTopfLr/dsOam7Dac+tqVs ehaaOsiIoTKnkStvy70vezH5swKqY8bxfcMlRGSa4Ml0GZ746c21+0aIe5rn sevMOD5ocOOZjhOxX6dOJGo4Cf3AM5hXIs8Os7xFm9R/uxmYUf71IXGnTMJ4 E1C2dzqfHJTFjukv4O4cgbhHdxGcbC35kpjNHqtvigvV8egV+QI3qo6Ie1YH xYI6L4aMmSn6FxRyeE4XdvRtRfBScsHKQTzUfECSeFEOhUe8mZyYiqvP1XnB NpRvdWOhdH4txiYrIsvoG0b/fIW9Y9y59rMnl0bNkfJZDrf07w23+R3ZK6lY rE73Y9PjDXiyPYx2QcoYciqXwev7CL3OOTyjP1zkNnbmMOfxtL0djaS2Ttyo 9QYZG6348F87ek71EfIvr0L9yxTeXxqDNm95vlGxFetKLNDprAOmr5rC3cVN wn/4CFauGMniiybcuiifvk09+OfScQzhBygeNuCIwZrI9h7IuMWGXF+lxpjy wVj0wh7x46Zjg1UmCmNvI8GgB6893C95ei2LPytrMeNyF6y+Gsq5PYOoc9kG k2MG0/FQO2wrdXjtohs6vDLgnOdqnOcjx5BX5oxIyMbWXHU6zfNA+uNj8K5R F7fsAvh1Wxe+bm7BoldWlD8ciOP2++GU1A9bxybB/uYjsXrWbnSqXI6i1xfQ pUEGLwse43DbROzI24bf3xL5Y1IeNvv3pP6tS0jXPIYPiR0wZKYt911VpZt1 OGM6b5WojdgLo9Rn4vktI94ePhd1ldfht8yXX6x92NtSIr6u+47msvOSD/c8 6HS6C9fMug35G+Tbk8582nsFxty24wCJNWsezRBjH1lyRIkRJ1QUsDrKnT6n iqhnNYVZ2fo0XLdFqA8O5sdBGTRq3isO/Mng0kZZhNxvQ+ffITz7uZCVUX/h 6b8BN2cYMdW+O+t6PYfmvyD+TjiGCZNMOLzsDIwbe3Byl0IGB5jTcdZm/Fd5 UPKgMpOG1d/wI8uAqTfyeXFLrVDy93c72cuZH+6l4mPPaZjcpkVPh2qM+70M 4/3/wGXPDBQVWbDxoyqnZVnQQncaMj2/4OJ8J+FbcBpyk/TplXJDtEY+FGr6 UTRIPYrtT105Lb07r2dehsx/mazO2YtTuVXoxiz0N6TUD9dJbpQcROTsOOz4 6MSQtjcwv9ERLY0D+XxdNqd+sWVg2GZRM+grthU8w8dFXZi/vRnub3X5X8Jy IfswjEEu6/FxuwxM1KVeam/P4q5JPDi/KzeMTeNay170jpXjM7tsWtQ1YdL1 NDxWs+P4VQ70SE/jCvc+jHsZxj0X/4rE6xfh0U9epC7w4ywfa04/Ycr5faqg 3XE4fd+EM+iKFY9MMaWk/A7UO35H2+Sn0IwxYZjfT9Exxpyyrbtx3ziX3zWP Yul6I9464sBBHgn8q75ZOBZacW6lHtsf7sO/dymS+tABvGQ+kvtCbdhtkAXP 7zkqojsp8PPkMXx3YhDtA0+K5MNDxbQ7H4X/VkXeGJYO14TFyG+9hs07lsFQ QcL39vckfDkPRUcL0PWwF3esVBYviyayR+071K0r5KCmnUjdncvVX5dDbuph /JHmcNC9YyhZ9hlldWb00HWCUuYUxtbJ8sKDNegtdZQEf2269dwm9DICWLtM gXY7FTnsmhsPu6TyXrAu6yt2wmChJo+VWUD1zVkYDU1i4EXpfKjcFUNLuuHc ym/4c9aKnbsncblTO96orMT910F4ubyTiLpVgcsilvYyE/g9K07iZiILSXMI zTY7cahNV56YW4dLVz9I1LuGcWfgJdiu9xNt/lfxtyqL+nGyHGwsIyz8bohB GyyhmWoN2RF12C510b4lChhbFclGeVl6Tn2LbZejcbvrKPTts1C8XHdehE8y gGmuPl9fN4F27XVETYlj6eQArEzWZmHGIM6+thWvJvxF6qufqH35EE0f0rlP 6vUJaYpcOKoP5WdbofMcR96aexLdlsrw9/4Zwsc4jV+s7GEw4rhQrZHm1MVW FC7aB7lYJ66x78Flq705fXUHmpUFcZtJFPpGjhYxht2ZPX0kR7eOZM0ee55I qZGcXHcN5513Ijy/THzTuInuXVfhx4GJFKqD+PieGS7u1+chjQyO++xGw4gG bF9qQKUzVzDqexiz53fgPJNEXj50HEbrl+P78Eb0OPAX8a/+IdlsBN9+1Ofz ORn0j0/ig7Rg99dbJwjvad/R66kbF5UqM3i2Ag0qJ8Dn9mRUvXZnp92jiU6/ 8LRBmwsmTeTdvhr0GZSLE4Mm0ZuJCBjhRc0H9pjlWYlrN3uycpY6ZnhkoK+v EQvcctnnChl3Zzjr546j7+qlSBgQzt6jvXHj23osX9OEB68c+J9kDurmvhFn V1diRL0OiyPlYaPWJCYvUuO+D1q849UJjaP1Wdb7MxqlvDzyyDzcifbDTJ8n +NY8kUULDuDAO02sPe9Pg5B0PhjozdZ5RyA78ZFYozkLO4JO4N/VcJ785sKI nR7Q3GfB45giWW8aCe9Nmmz45cns0I4iyvQfAlPuo/yRIpzy3djuFsbJGRPZ bcB1XJ/hRPfdNlTJt2JKTArOFAZA1j+eH4JDuS7sBaa6KvLTSQVqVJwVjSfN uVYMpnHNSgnlzBkv9bmqR5Zi6SMV9F5VKFYNdufzJxns3VEVBj9sOVYyjhHJ yly8bDTDdWQ500cJRvPHsUX2A2rmPBF9b0dTu/oEwn+NoFeYDT+eeIgPE26i bn2VsCu3o53DBfHiixdb/q4Qr5JHw/ysqti6RwNXPn/AhDnT0VW3XNTly3B4 oDp/mmeLKXdewn+EGbAzn9tsPXBu8kKEqB8WOrUdJX+bLsDAWBH3P13E5IR6 kby0Ga+WWvHRXQ/c39cM04/x3C2d4yq1T+i705d1E2z5usCGMW7x6JByHDHz BXsylP+9f4LfTftxtvkmEnNUqCO7EAlzFcQg9WA+++TQP6fUmFENHiy90h8H /YbR9Sh4cbYhJIaCc39lsYPvD9EStAEKLekcsPg9Gv/bhZ4y7fiinYCSDGWe 3atM7/OFHKaawCzDhdipHsc5gTEcN2YY92ydhR7TTsOnYTTWLVPCSp8PWHZQ yhAGAeLEo10ouh/B7+4eVHM+iWLfQAalZqE03YiH18ZzdG5P+LgUI7OrM920 0/g9sgNnx9vDynoIRpZlii+dh7DPaif08h1HpQx/Bg46IwYrpzNCLZcFMt35 zvy8MP/uxXejaqBipIFpD+IZOdGVoeITdNuMYd+aDMNaB2rs+idRdb4pEhpN 2e2dGr/8vIq8Oive+FqBc1nz3c/GyYhP5U/gOq4Hn0CZ2+ZNl3bxQ3Q+P47y i1J4ubcDL/uRBSV0j7tTxDutLWBaDDO7ujHnyiC8TKhAcXJHhufNxcZAH+64 rstiEs+mRks++vnR6lgOXU7059Kjn9Hj7nFcNvcUYSO6MbOgP/8aD8F1fQ0e lmyEyY51IuW9C7WlPjx3fBrNZnVnqNdoenaUY9y/TIzKHM7YvvWwXlGLnMpC yEjzbaZGZ3zp9hzzy1K546B09iS5vO2WxZ1tanBY1wZdrWJJsysxQ9tREjw2 ShSZHhZ5155h0+cF2Dz4FT6fbIRxigySk4OpWdiJ1rnnUHmys/h6txOPbnNh v+waDKl4JxnkIahg1i5SLmSIjyefYeFBFdaFjOKi9kls1I6hc+oFxCWel2za tQHrN7lxv/J39JsTy0+hWRyU5kKt7e5EyT+xqHe+JMNOk9YNG/A8QobKbwLZ Fp3F5sRJeH3/BFJer8L2ASH80sWDr36eg+KZD8LqW09mWGzGgVnd+OOSPc1b NJjoYcwZt4cJVym76WxZgQKTTyJfos3FWq/dYjvFctkSL3bYMRx+p7KQW6AM D2nf9gs+B4E4rh5dIwxWLxcpYwczYcwi7KjogKe1HnxrqsiK5nScrvSh/JUe dB9ZBDEkkJ3jxlN71RCqN7YI36xy5PgboenOCUQXDqTXx2hab8mkR1BvrrmS K6moOoq1J/WFm9oP8fbyFjHbZIjbiiP53NwzgjIr9RkS2ZWLL8jQceExzF8f AqdnVTj1PAB/uo/kDJ9BfHbcnsYpPXlttwvvZ12H9cNUqK9y4bZjxViyNpga pt8RN3sGJha5cM9ZZ/b93p+e0zWZsMKERgim+q9f0Lo6jvfrIhmmbYfIP+9E wBo3nMm05sL9z1Ed3InO2luwQ3Y77n+UZ6eFQySPthnyyLhufD3JiS/9lqAp sjMfHuvJN27fUBy5HF6VerglE4dv6t04o7cb3eYooMdIG9a0xLPo8S08iliL b9kF/NSvSjI1aa04edientIz7xmvwV9tujz+yZKDj47ljnkmLB5qTMv4Izhd Ng97hxmytemapORDK5zfatIh3ohztvegwX5vBnv24tDFMbSEIW/9HMTF/l70 H18N2zvqvF2zBy+GO3PM9R58lvofLr4CX3USbDd0osb0Ydyw8S86W8bx7xBD /BoUw30nxjJ5fhMqzbKxpO2bWHxck6UBy0V1ihPPBlpgT/96RNf3YumSCNaX mLPx3zu01Et5wuo+Tr56gEI/R8yOeQO7SzWSbjdyua5bubAa5AXT1IGcYhSM knoJNRYdxNj2BJZEO9NynwNb/O/DbdAPXNQwJvMi+PigIruejuTHBW4YMHMb zPZdw9Vt/aX5LMMtikN4eHQf6g3NwOQlg/nJsCtrx2sw7dsGdCldhNRrgv2X +CCwKYyzlC8KfZkCpoS+ExZfQiTLzM/hamUNPGLOCR/p7AeMnoOAP578J2XN 2pHKXBo0Ak7hlnw+IpKxwhlyxjn0faTLmLPrROgfaR+KMow50psqwZp8sG6b ZNmvj8LlhA5P1f8R/4wfoSZ7NFcFdZX4tsqyp7Q/ayfmc9USDR6c1o/KkiAa Zify4lQ5qk19AeW7ltx+yYkz+79GofI/fEueRK8LStwQFQCvUVkca7NNuBiq C5G8GY57LXlPdji/H5+GJhcPBisswAKZpfizPoWi60JJQtQk5Lw0o6zoxfpL YNvDICxRL8aUaTE4M1aCFZrfcXqAFbdEZeBoZDqFVgA0TD8jb4wq3XWX4Yza M0hcYqkztBv37RzBHhPH0Lz8IrQG+qJEMxb1DzdALE/nTLNg/tgMTh8Vyin9 liNuhS39rmbwfUsIr241YdPQwQz/NVc4rW0T9d534R+VzlOO8qxW2Q89h0dw kpkK9+NuTH7XmS+838CvdCzV/b4LX+UiSoJdeGnjJN5Su43OzT6ILfaio7lA n9i9CLmggr2f9ZmnV8hY7sbCiJ/wsNajTrYNRPRm+EUtg/a+3phvko1j08fQ oyyErUZ7YBM1ELuy1bjtUClqL/tDLUHCe66OXCyfKyIaC1nlfgly66zQzzYU EVdGMUZyBNMHuHDxQE9+TNkp1qwN4Z2phZyXNRWWjiGsO5VB05m+dDKPYl6k LiKyKlHoO0ds7N6RCUP6EhvaMcb0Coqle1Cg8M895mwQf3rm8d6ZHEQnZovk bcO5r9CL9ytvSHatzWAwbBB7uj9+3pqFQ7e786yrBRem+nNU7WM8OViFVdu3 4YrYJcof6nFE7x4c5hTLwlE+bPzUg9uC07l5SSO87IwxLcseiS2CV8/sxYFw FRQldeXhHWosqpgB3/IQfO5fDY1Rl/HhuRm3To6hS9swvOi3TLjpK9NFKU90 vT2IiedKoT++M1QvPEW7+VbMPbofzVdjcHltRwbUpzLpRyjrnvTE9cQHmNvx LTT7jGHbOmO+Nm7HsK+aXPEwgx/TbkG9MpZuVwwxryWZsfNs+SV0P17USHms 9yuEzOnH8z2X47J/JsLKV0qeV+3FyI+B6PB9KMeUDOPQTv0lNy85oHfKRI6r HUzlBXG8muvObrWjxJi7C9E/1xmJ5YfxddVTcdJUhoHjm2CaFQOcKMennPWw XvrOfVkd+e5PJyamenNOkTNHuJvyyS9bOk2y5r2j0l6er8To7X3EwQXDJOve VYnEA1OYM6WQ7XfLwNE52C73E9+zjXBeJkscf1yPme1TMClEi01BJaieVcDL natwYt14euS60tfoHY5vaBFnOQZVh63Yfpto6qlHral9xJKqkyJ1dg/O9uvL 5xppNDilxWkdpT1+qlb08s/g8dhmZOiBZQl7cMHSBNNqloiPkzZhwsx29/m5 l8WBNCVunPlNcu55GBcu3yKa97WJ3DoTTgyaC8/dalRQNBNfTcwYYh3NXdJ+ mfRwv3vK4F8Iz3Rkd18vto5So2RpCI+5p7LCfTKvDohDlepgTrXdiKZ12Rxc 1Akf1OKhFXwbzXrZeN25GxOjfuFx817J9wljOUNpH3LXTMeK+VXilfcjjKnX o9n+AcwcJfWn0S6cc34BuuWAGks7sHx9ObqN7sKez3oi9H6iODqiEvtf9GZT bjt0995G8I7zKJkylJ9mZGNR/V70D7ST9G5ajo2qxdhoc1PMF2bMvDGZl9RH c8PV7TB0cOW8e08k8zduR+PxWxg8RpvZNaVQVtyDhWdKhM/a3UhZ9RwWY3xZ oHQX4Qcmce+DvZK5c29J1iY4If20Bqd2c+epOE3atxxA1OMOvBK3BGsHuPJy qg/HuEdxZMpwlHeV5chcJ9hvf4fIFkf8iRzPxo62iLMLZajzNGx/Yc4sDqCO hgqVouR5b5gnrSpyqdz1sturL7+R46zOunNGWJGnTEfrXFosmyGi+mvw2rQh eJkXyn6S0VTvOoSbjPtgevwgHr0qi5Xn3TjA9Beq1vTk8rl1WOlxQkKV62iX 1+OQ7DzO0H2Jedr/8PbfZYywS6XcypHce2YL4oPzMGc7cFd1AbYlKMJitia2 bRuGDldTUOuYyvVSFrgvG8y/C9S4f+9hXDJw4oeKXrwxVI3qeCUWmqnxqedm fP4UKZbopTHm2lNsP6vOqZM/4NlkK9o9DHC/pvEeM5TT8TY+U+j08GXq2mmQ s41ktL06+19O4ROPE+L7mrHcWu3NBp1b2KztR+cTJWhQeixe9rslEnRJ9/Hg AmNHPnkfw3v/9HnAt4/473AUVF+2uv+424WbWpZh1wtVvv69Vyx+vxf+Tip8 YzdV1JjOwZSvcizZ7oAfr6zhcHmNKJg/iLkmyrCbdxBpC0px5cd7DE07CE+X lUCOO2U0bRC93IGB+cfRb54rs7vtw0nfdO5ZNYmW8+eLxKEj0Twwno0f38F9 zUF86HpYjMz/ijv9r4rcPkE8aPcDTyoCyFWL8du2P1c0dEax9gvoL7yHwQay jFAuF4/twnjmtSmTp7pzSv85SC4PpUaiBEdORLJryFA4SNf7zeIjksc3olEa 2o26PlfEA8UDODfoLsaOCsKpo9eQIhtOPat6GJZ9FrO7fUGaZQ4z648jICWe ayYNp/ekNPqpGjBBRpkmh75BPboDPK7pwsjOgst0/fn9ylmxdtdqUSmrxYSe J1Fyc4sICdfhBaXh/Gh4BQPnnhZuG7XYqujC3EN38WtbJNNGSLn/+gie21TE nInuXKVTgvnSXip9ZUu7/oPpVuvD2VuHskLpAMIn30eBwwD4VLxEa/hF2PzI hu6+1WK+dxRHtCaA2e/B7sqUe1+PFsktaMS4wsJxM/ZlB/Pp+Wf48fYixMMU YdyiRPm7Olz9T4Yrk10ZeCiNn3psx4toAz57fhV/vwcxI3EXUKPP6lVdqGm9 G2+r5iGkxZ9xp6Qs9H4wV08I4/ewjtxTfQpr/liKzXOsccTNnZv/+FC580Mk LALMZ3dg+ubVGGhzA9vfxKGLFzltmjxfL1Cmapga8u2G4tTjEUzWjmZWRyXW fU1lrvkMGCVWY/BPWZ6vtuC/0omcZb4ObmHOSG7bhMiZVajzsua6kUa8Pk2J lrtMGOreBWsV4/gxyokXVucjyFeDnQ2U+OGwK+eYy/PuLV0+fOfJINNAzN7v SMNAe2RnqOKzlifHWUfxxpepMJ/8EwtN+/Na5+1iUUYJ1s8Pg/VjDSb9s8PO SGKiqx7/+KlwfydzxNUrU8dxJf58cIJ7Y5kYo9ks1lovFkfDzdjJ05njTw6i 5vpX2LYwkiEXhvHjvJuorA8RShGuHG6YKc0oMveoNtzGl0HGOAndrnRAVctQ KTc3Y/sWZ/ZZlCyWa+lx70hlcfv9Amj0/YnXvmNp/WgYuir7sNMpRert1uDY bZbYE5jC9DQ93ozuSK1oKSs9LMPUZB22jNOBekEA7yfqcX7YeG5pNePPlf+w VfYles254N7VMY+Wa8bwu+JRnHlszIkrhnPK6y6SWY752Pc5RsytVZH0yn2M Dwrf8aNLFC91e4h3LkXiyAVFWhdNxDhtGTrMVedGt6vuR61cGPwAvDOqFnZt XTEw9wL8ex2Fp5ynSH2yEs0DRnOj8xYM1NiLFlUZ7riSy1KksSV4sdi2/ToK PrWLC7IdeTn2LL5F+PL40QUYvuwSviUuxaIldnz/FdRKvYo/+fas/mmC/osT sL69DFaLctnRJIQJitfEuYbhPOZahIGuNXCf90dM6DiFDRPVOeuYE3s6nhW5 e/syutmTFdPeoX1DAddzvXh5Q4at/ynw0TcDjPd6ICp/y0r9bB3k3uzEJtMe XLijD6/v6k/HiteYZnsPybtK3efatmLIoKXoOuMbPjStROmjT3jj2SDpFrIa 5qodGWN7Fd9zN6IkI5mlt78gN6YA91c9gsEbZSq2hfKrfKO0NwZxYEoqb3lM 4PRZIVwbMRQu9/JZ73gFAU1TMXPdcezdlsYhOwo5LcyMAxfGM//+AE5X24by VhtxS3cP7myR4/rVe1DZ0Cpa1ibSRDovA81KRJJeHaK9enKlmQNqemky9FQw V51U4uVqF6kr9OBtHS1u2T6Wn9rjWXW4AVden8K6GiUo1E6k38nTImK4Cws7 B7FLWTomG4Xx+psKlC2fhqiUXTBKPYyKil/YetmepsZjGGnvyYWH/Lj5cBHq HLV5vkINI2yi+Sb3IorkZuCcpTmv/nJj3OP+sPimyjcXjPnHJobDc3bBK3AC f+8LgntmAmScu1BJxY0TXz/H7i1vEVPvR60tVtz3zpC/0neJn0UmvG40iVsX DJHMvNCP07074mb2ByhNPi8Wea3ErS4Dab8tmoFRhpyoPIGpNWp0+/sZU98p MW/WcaG7MhNJZtU4+kDa6ZZz8IVLxDXZA8I1cxR1Ds50f1IJRg5rRJRMFM+2 Lccj056SP/e9aWNdgZAzttyUfRM3L3eBQ/sG1DwO5S3lWLpMuoZFRb3ZrlYC 2/WFNNUMZtGRWGYs3Sd5YLhOku1owR2NObRsyBL+t35jkK6yuPY5AteURjNz jCHX1sbw3OWONEq2FE2Jh8Ul33x+D3qIezMz2Py4Dx+Ip8g4N5IK/R6JHidM uT+uFXOzgjDung9P7chCvyNP8P34Qrwc6yT+uyvln6ZvaH38UCyK7k6TXorU uvAJ89cn8NC5SyioTeT4Exm8/74XLhxeIm7oNYiFjUO4TP8xJi6eyO9m4fyW 58bGzRE81JqFC08O4L3cHBhPU+GdvUa83y2RRx/ncPzHdGEWbMLj+no0eV5E x50KOPNiNAde9KbDWwMMfz1KPHq3A78OfBPvtHLY88MjkfTxFDbOdqKJzQCx uuoLztSa02JRD9h88eCVQVqs8NVifsUa+PwYjM43Xoqv58ewxr8Al+r6iNkv 7ouDE+vFCh8fnvPdDcfLqWw414Kc5RvwJiKXU4rteS7CiH0szaixdjZku6pz hOZ8bB/ox0fLelKtRhcJVnPQ/riQMvF+/LP9KJQGGnPB8gDafW4Ry/d0wqxN XXlkhhyPSc9s8b47UGlQ4scqNTpck2No/hl4xn4R96ZPwrz/LOn1aIXoujoJ 84+r4MSaCLivtuHvNl3JsVA7egSEUWcP2M/yOeQbK+HccB85erHoZJvMmp+T Wbn4gyQ/xorDE9/g3oRyzDx7C31nKzJzZTAPlekzXNUYx4/EYel60CkliIWe 3gyfNJEVFXaULYrggC8juLJcn78UPNi4KJWtH7OQ0aSHU3mWKGwZT8WpG/B7 +Xpcm2LKtSvv4eWe/ViUmMIPfUZy3K3tSE6+hUYO5IpEBbrd8sKJgSq856gP e69GOAdfxc/mVEz2zpM+rx6aS9XQLNORBUejcHV0JB5WbcbVljWiUX0LNsbb ivLWc5CkD6axdRI/T5wB44gYNJ26g3uDVmPa23yOT3HlvuZUhvfygYLSW+y+ fVFo97BmlVo6/4RG0Whkb0re7XS1yRL8p6bNA/9+oS14Pyw6XMPHtrtoKPGi rJkf/dQPY19DAqcvS+C9h1+Q/t4eTd9+iCc9unHP2vko7qQsqiteiuk1b4Xt mwImDaxHo2wjDpqP581NSaxeHsLnByfRvMGRvVaU4fqpu8h93YYvjzfj+ldP HjdQZGHdW5wc7M8RF3YL/Tn57LRkGnoaDGPdrnxmri2Bn1xnt6qnvZkyVJ3P dqqz94FyTLOQ4+Z/n4WnTC/xV2EsN6sr8kOqiqQhbCl07brwjG8njupnhZUP x6BAJYuKax/hw/4R7BevKw4mzEXHWjPOjjsjmv96kjvnYV7dL7x064mkm1q0 36fM174rMLqvDlWievBjjR4fj/2LA3vbhfHn6aie7sktvdfg6vLuEo/Up+LN wAFs0/7gevh1EJOnR3FhxSKRkncRW6Ss/fYi+X52ArEhnIoypsDoPlSp6Mnp pxKRVO4A6/MBlBtcANVhcxAj68gDE6XrlZpH1Wt5tDjjzQETIjktLgYR3715 wuMRHhwdwv7nZ+N7BbEgfJFknlYw3ZwrJZPGRtOxSxnCzcx4/FUuy2J12U+m G/uotGHzZ0+aNEXTK9gLdR+tmWkYLxn6+x3Wv56CmNJQptQOxa29Rmjc1pkO x9V5+3YSXQsllEsfyrb4LB4K6ohw7XL4nxvH+gYLzi07hXnnSbuhanBeUimG bU2niU5Hdk1sxYP/1CSVE/4hOmcrJg5tR6Cy4MnbQ7nJPIk3Op/F6Gqyzm4g evaOZ+A9fRo/+Q2jIj3ONHskfuc4iDobOdZ+8uf5hlD8Cu7Gzy79YGvvyi2R 0pkJXIIbEXMxcvFuEZjWgw9WuVBn82QGzz+CsJGj0GO2CUyXvBOWieP4frMC a6ufCo3fRdSqHUE/JbCTpRyTTnnS6K6jZLCPOdVu66MqlXj5sxpnJ/fCDINY 1mkuwMnxlzF8wRmhUNWC4t5WaP6sz4em3emXvh7H/Czp/cSA5901ebBqPPLC PPhZ9iEKexvzvtpzNG45KLrfdObPl5k8pX9OeCydRIOtbpQ/ext1EWP5t+Ai Ar+vR3PdZLzoE8w3K84jYcczJF4eiqk5njR/HM5ftmPZUBDEoP/m449ZJi/q bUeVmx8bHxTx+uS9uPLuBAal38JhAxWm3d0ksk1lqP6qiP9md0LigOUwWDmC lZra3OQeSUfL9YjcK4upWRlUMtmMxuhpcO4yhuevylDHYBoc9ivzXPJxbDFR pW31ZC75e1Sy7FU4jwXdx7gDz8UWc10x/ls6950MZJ+PX8VsOTBjtp2omRmN vlGP8LpLAv/uLmSgvDXU1ybCK38wR+5OR8XJPfDO6MeRdw6hPmmwpHmuDh4t Sea8h2qS9Uf0+NXkjritvRbvZS+KqvWxVH57EPcH9eDv/T4cXJZFn9YOQm+y K+a2XUPReH2u6GDGUudE5I6dwtb7XmzZ0Jc51erc31+as7KWvD9yAJ8Y6aFf 5nK49vgKrwW2XPXMl5eVrHilnwE/Hw9i9UFX9nU2o+1cG9ScD2O0bHem2SeK 8KeX8Fdfk1p3OlE1Ueof1TqwXrIXG+5tgf9vb55+ItigrO1+qqOrdA8fCt1t HzD4jBzGOkzHdJlh7PlMj8fVmiSXTxuyOmEmDuh0prhbRIO+u7HhSB+xNvkQ FMZfFc6ffHnPu1507/obgQv1+GsWxczPP6E6vyvzXmfSKHcAa+424ejrYLwL /Yj02Un0ztdk/a7p8O1mTaTnYmLFThhvGglFDS0O2zJH/P8/CHcb1omBp9Kh 2iNAsmXfFH5btAsSr0Qu6tCb13VTOBuKOGl3R3x6Px+H73rTpLcScpzTOOOj 1BUvHcGVWcfx6fZdITNGlds1y5ActgR7raVs5OXAT2s3oKrbInh1Hcw+Wpk8 I39XzOr9FpJWaW58d2bj5X58od2fWg/jqSt9p89LVsDM5CumtcTzg/tY6uk4 Mim4I41RKjz7hFFWoT/iT9xHmnUke52U43Apd6QvnYfMmVPRt/ASDu9ZATm5 DE5DIdf324c6yx5MyXBg6eKBYvXORTig1MH90Y7ujDLyFhnxHxFqID1X6ptw 2++56Ksdw/0vFyI6XIMKOWqYccaM9t0l4leYDmdNtIfmfg3W9pU6jJ8v+57q Ra/C7nTf8wC/tOxEmYUvC6Zk0qKqJz9s8GRKr0l8HTCc+3s9Qsn3brx0pwpX 0Jumu1WwZcwpGCal8u3C4ZRrNkNWpglzJxcx785DSWKnTRh3cjrSpHmf505G zbbh2n6v0S2nkI5Z29A49AoeHDTDgBt5UBg0nv9Bg+HVrtytNIySacG8EBbJ gB2DGKIzgRnFYZxyIxY7VW7Cc3EOD64dxAvSPX0t2xPy3aUd8KtJtMwH+yZo 0+G0NZ7OHc/Xw38h9AwZadOGmtNdeT/nBToV/YX/vXS0jZnMyL0DOW66C5/l tiDk2UDGXdyH7QPsaPYviG92FHHGsyVYPNeYe7aYcumjm9C4Y8rTM8/iRXEd Tqg/wW7hzp+7j+Gf0SdEPMzluI29KFlyAm4Bs6Dd0U3McAzFzpLVGNFyGP0G lqFO4TW0Q6rx+5k387vIi3tlSRg1uASKv9txs3QhZi6Wwf1F63HndorIuWPO WDdzmOjI06zZg8P8B7KvyWlJiPQsOeyx4Icx5nxTE84ZUw2YsDSVU5UiGNEt mrX7J+N9fRc65OczQHEQd0b1psvFCVxVN4Rbn/Vn6xhbpg4JYshwV25e4spS 3ak4MasaNU2TIY5J4J/hxaCqWigH/0HMFAfoHdLnWWUDPD2yDI9lpR4XZ8cB s3YK9eFuPPKxG+svdMa1QXK0lvK5RZ4xLzfbMP1wHI0UXZk55QlaSh+5f9Bz 5WlpBo+90p1lzaXQPqTOwpUTWe4xlk57Ejijyy0s0rXhY5ehzImfIs58iKTh 6cl8mBfF8eFD2TjvBDokFNGp/Bsy0nbheGgTclR/YUfYQrzTkxV/y2dg9sRx jClJYs4tE66ubhMj8nXY4Wwd4tqk6y+u4pizPys+FonjCgEcL9+AkusdGLXJ kjNb+9K2WY0+X3uw6eI1tPW048b+VqRCABb/TuTcZWlCfqwzi80jscDAji2a mgwzc8Uq651QFgN5fLYE46+OxWMXE97+mAnDkiy+uhvBXyF/4PAtlFqPOnHc 773CoPY4Zpo8xtXXa9wfzVXBepNnuJt2R+xq/os7Njdx0FrAteyspNe3BJ7K zkbfzb05cfNgrm690f/wxhVYEJNOq2vDGTDThzZGTZL285PxLGESLcsseP6N GUf+voN62UL2+VGDtzd0WG62FidP+fLMrCFi/mQnbnezYVXLIrHSI5E7zHx5 e1IYFVzbsXncRHwPeo7l24ZiYPhE3G4Lg3CpEZVCi6YNlZgl6yHZnG7K4uHW 7J3hyOf9nRAwI4D7Pz3GnDQH3ljXif37ZqD76mViQ1oY78qpQMmwA1dNKeDO Oftgsnwgk4aO4izFD5gyeTgf6ZJFXSbwUfUPaC/SwrDFiVSRS4XDjmiMtDyA L7uLYe0lZcK2HihP7M4TWfexfdMGYehuQTdbDzZHBNNZYTbqX8Qwa6gbNw/I 4/wOhtyKjWjWS2Z7+xBU0pu5eh2kWdaE7FFuKHluyDNjXJlW0igK9smyYUB/ /NweCVcXbXjszWBstC7eShlM4/QLBG7uiednh9HznBVbP0dz/7keXNpdi//e ZzFPmLPt6VPJnIIk5hY7ItzHVPTp3Jk3vwVxo9wB6EodpuhrAWv2HIX8rBzW xHbBIu0p/PXETfqMZjR4Wkh9vpC3F/dBSF8l9pZ3Y0l4u2SiahmWdTJChEUj PlztSuPrjkyoWobkDuvgUBeOs246cGp5jQM1zjw6/4Gwea3J5S72XFrrzCen mnCj2EG8W9GVsa0d6f9DlU8KZuKK1D+NUrPZ65YnnzhtRsLvGHoNkjA1eTTb +ujx0sj+OOHox/BOeqjTCOb5T5twq+skjstLYeU0W6ZoH4F2wy3slXJXqUZX yIZ2Z8iJAhqxHx/bncX1iVa8OFibBe+t+eiwEqvDbNjNKF7onPDkJrcj8J/W hf8V9WS4VTGOKoSydMlV7M42Q3PxLTHrSBFPJ3bmm9VWHGoiuG5bIrtu/YVq 5VDaj/4PZTd7wc1hL7L2BUDj3g5s8p4hdXkLXpjlz0K5q/h+ayL183tz6k8N /il0wjlvdw7S9EeiyT0MLI/nw7OqfP1esMctf8jKxXHEKbpp7XoKzRBXulwd xfaAnZDPm4y/n0fjzNS3uHPandrtt9G455JEc8pY3nj3S/K+3RT+C3ZjdpIC H2zJFn3mKnHTUTMcKO7Ob7It+H3Wi7uXnITGU0euX2HJ+F1d2Gjhh9uTwPJb Yzi+Pov6+j255qAsmyt/SyyvjKeKlaekcFsz1JVUuVC1Cf0ygrhU7wKmZNaK OWXjeHFXBPPS5oupz6/j0IDpEkORgt9zQ2izvxOrt5bje20ok16ew5rQsZwd KzjEYZm4/ecKgo+Vwu1dDzxcNE68nteLEbkUj9bbSPv8EQw0tomyy3YcnOXL 8aqJtKix5xPpBVaB8shq2YMHXz6J9t8nMfRlpOiwaCtq5YfSUWJG5YtZtBw2 hEnqBYxNceDXni7crH8GBvfUOG7ERTRfdWT9yy7M7fEcqhVpvHxKk3s1VGnO NE542Zczh/XDikUDWO8VwcDgWL69eBPvlzQh9ksXLnoXQ/fpcbxtq8yynt3F mqAw7tkRyVc3nqF9syPL/+pxuqMWq/+4w6VhC87cURBXfCz5U8GXHXQeI/XQ GZS2Sh18srS/0w8h3Xsjtrhnc1vEfYQvdaTl7dtI8l6Jc4GzcOftJGapDOJM pXSUDDHgPsXBvLGwFxUk2bgr7mKr0yHM8ctmwIvHMD5ShhKrpWJjj7+Srgd6 MNFhC4rCVDj5vzmI09wJfXU9oSz/R/LPMpKfK1tRM8eC91dXo2yMLLdaqtJd 9TImzffjvmlVGKbmzzwbZ1551pNl/jMkHf4uRJpWHGXGb0TEyGW4JPXSQusC 9DfQR1rPcNpclufhhxP5+6MFi1WjuPvEKhxrMOPKqm8oum/BLTl1Iq6jLC1+ XsDoJ5aSwTdaJCMf9KXqgC688uIjnk8Zw+9+K5Fy6Y+osR/CZ/8qJQtqXbhV RR0dlrzAjhQJg+5dFKNrtWnqIE9vo2QO8fonWnsGYtvhPnRQzKSVqTMDzXPE yc3m3LjPgv/9tWJWqTfPLbPgTffOdP4xjNbSb3ZWiGYP5c748L0vvV/MwQeD AWJLnqnQ2NCAJ037MX1LCnf5jeSgihR2Ub+N6yuqcfF+BH0SdXh61XN3WW8P /Fk0ioemN0F96VrMK3TBNN977qPhIDxf2PCMpx47x61D3tZhKA07id3V1uLY /cnsHuTD8eYViE/6jWDdTrhfeUcodP4ghn28i0uapTilpsYS6brtVZRnqsZ4 ap0/hm0DQuBSZeI+5Kwag0PNOLdGHjpaanDK+IohKnrs+3a2mJMdxYCh7tzR Ngfeb24jMXQGnNbacZfuatyXslJBsgHHXHgJT5v/YGiwHg5PxjCqSoVdut4T qS87M1rfgLvdLogisxZo/30jnv3pgbJOg2H9nwceFHvT75YC791eD4X45eh3 bDQdOsfjZjR50bGIfbUM2D1mHWY9s+Jo0zwEBrq5yXQO5k5rG8yofygsA6ZI 8tZOwcwtqTDS3Yk1lpOofWib8OvliggkIp2d6NLBi7e2mKFLpTxGtWazMEaP NjVGPHnHTYQtXgd5NUXqL00WcRlm+H5UymwznyE6MAR5qc7crBgl9LRewDDy AjZOCeXlNnUmfJ4jyb9N1lQkclOBDLs8U2H036fi2WV/aP00ZWCnRNpeymdK zlCmO+liXe1Ajhg8nuNGN4jJd0ej00MjynXoxdhVrbDv5sC5Bal8GbgKbVZ+ nN9ggxVzB/Hpjj3Y/mYoteJ8MMa3o7tFQiwbIvIZ0usL/P8zZcR3azzflM0F BX1wzGmqmL5ShRoVBfiS54S0vqpMsnBmaXAwD3bT55qHkTz31I02ylM4yMEf x3RDsW+0CpZ1L2Knm9Vikew1yPTuysclXbjOyR/PdhijeNZw5k+Z5b5AYQSm exWxd6EmM29oS7bq23Dp1hg8tSjksO1hzOs7CeParTggfBg9kMLVXRz4QG0N DhTVYv1oB66r8GHJPjuO/JtI1c7u1JPRZL9jE+hW/RXfxSTWni9EeWuaJO0U qTNM6ty+Qyk37ioCmkfzj6UBp+rm4Y9Cf+78m8WdtTslnv0fSt7OHMp9k2Px OvCQpDVxOPt/O45gzVROHGLI5cvsUa/5H+anhdCvMZsi+qOoef4Axv+sqN/x OBz9O3LEbTP6rR8pHjt3RU8pykosipGS+wRHTytTdUUydfI6cq/mJM7yXIe+ kUZQ+tqA6UEymOk/B4o9S0VC0zDKrn6Ku47S92rKZezy7egm00V6n9HccTKT 8nkqPHR9MaxX7UFa+lh2n+LAXin+3Ja0BUui5uJwYSDPFdrTZZcF/9yok0RI 82X9XiESe8qiangw5XV2QiP1MvRmvMTou/dxdq++aHzlgh5X/CnjP5kKX3V4 z0GNOXX/sKHZSOK7cgqP9HHlvglS1kuYB8vuRow+a89Onp24yW8N7g624111 Fc42H8Ex//ww6l+B2FBiBJtPHdD6O4Xhh5R4b0gylyh3YfTN8SgeKOFwtQL6 L32FuqhDyNJW5Lz1O7BKzhf//p3HuTWZnGVuyXaTx+47o1firrE6FU7vQCer /uyVb8NeH3pzaDm55p0lXuz04b6pVf/j2Dzccn7/Np5EtFRK0tSSNqF1X+fZ FFIRmpSobyntSUpkKzKzd1ZWZGRnk1lGRnZkJCRl/+7n+QM+47g+7/d5vl73 cdzI+uPqMsL7G15P+wvzNj865dgzZco76H0Ip3f1ECoOj6VemyaHOL3AvcUK 7PwjldvbQrnheyQ3HE5h/oMO7LfAECNeTEbk6UDKx26WxP0Loob1SyT33wjj pXH0feNGM3UpD85rEg1hfXm0bjoPe+9D1H8pGPTCgcc3qXDLm4lUMbHCtAZL ePbuxOCoz7i7MpWGZ5dh/bQj+JqdSrP5hlDY1oUrLb6gTvctTKYbSznSlb93 y/FWzzQG7kriKAUfNvE+Bl38JFLGDuN/thMY1+Ymfc8GYdF7NR7nhkk5oQsP 9c/mZeNVOD1JOlddY1lgGsY7GZ3JSUNYOk6Oma/92RKQwz+NnblNyV1U1TnQ P9OS/SZ04jEDBRa/G06Dno5CMyiM3h01IT/dlr+cXNjh/lopSFVjtVIQtTsO 45DLQ5B5rhRZW4ZRz6wnd8Quh9HAR/g6ZR5WF8Yx7cNL2H8N5DVVZbisqcdo 10pcvTmcK7Ueo9HuOo5PzqHLxxBpvuexcpaVsLqiQ6u987ConwPPDI5iuEUY 5oMMOpdGg5I56N8uwxuaJ5C7zoZ916RSouDL6s/p7OZQjmOrzYTrEkd22JnD vZFjMHb+M0lzx86U6wv+1PKmnZsc40sMWdrFj5VFFS6Pjh/GHbdAej715xi1 UJr9fCUGWGXwccle+I9XpfvtrbikOJ4v8uJEw4p4pvc4K2beckT48xH8uzUX gfb63LliMIde8mdFajvmbP4L/dwgsVTqxEdGx/HLDxc8qh5Dtx/TOE3BhkON 12H6vwaxYOs23LqgyO/upWCyYJBsH57K/ATti6ViQokt7B72xvCIsQw7fBXw 3YxssRM3fC5IPj54gYmvMrAtuBM3lXQV1ZWPsNM5gb8M/SmfPIKrX9jzhsK7 ///fgaRoHAtlssWvDUms/OvND7FSl45+i7hnk1kf70PZZyno0Vseq13LID/O jZ9OyLIk/LPodl+ZG9bm4L2+FepNVKhy5AuWjRjHq2nHxZUtGozv1ZH7C9zZ Cjvcj92Ho5/ew/+pIVar5YmXg5RZCVPxwaMJZfojoF/Sn2YVGfRVcuCRh5VQ kyUt5BrRICN10YFxbLvjBpNlw5jQXIaBRZcQsnwahrd2offivzi0aYaYadyf 9/dK87mvAn+FDWBrmCqPj+/NtMmmyJNTZLuCO3/uNeWhE81Q2zKOHh3sOLSt E0M8Mhh4zIjvGydRLXMuPMb05Q6zSL5vTeENzzxU7TqOn5ezeW+Uk7SzC8Wc lD9Y4WUgYv7z49azoUy6NoLhTbo0/9yVvmZe7BN5HJ9NxvBpUQJzeQNhGrY4 W3sPR02mI3rsNDZGWYqafgP588wcTEkbwebg3nT4PJonbgYhacUUBhvYYrbG fqj1seRu0zL0iq8QlbsihNLydUI9tA8iFndmdutQ9CjszKnT4xEQWCBihnXH /jMzsb1qH/6UTRU5Md9wcEsNDN4LNlpcQLl03+4PDees3Byx6E0I9l8z4izl i8LXKBNZrf1w1MmS9rdmw8regMH5DaiM3IfLXl+ERbWeJP0/FTTPsaefYWcK 9eVwPh/NoQ+SXAySDTmqzpWNLzL4WT6FAxYdQfnXnnScqs47Xy3Z60Y2m61W IyK1SvRqq4V8cB7HRTmIFF5HKYZL/D5K9ypXypCRtfDQmEwTQ10qf45j/ZNg rlHbg5q+FpKzO2ZCK6Arg5tewdtOkXfuhUszaDWW3Re8dlyBh4OPo+N4N8i8 GYDNb3rx115nuBwM5OHt7VBfKcE8BXcs0e/FPP2B9LEbgsOZm8SdoffxbZci niSsEXWTgvhq0lXsG70PSxZN4NIV34RKRKlw2lOLGx/mI1XDiyPjM6j6vTf1 WjdhSUM4LQyt2LFjFmeJSKQ4JosevVylHZBHWg5lp3OdaPDGnDWz7uD+F08O WD4DLS214oulLodubBTHf9/CoQu9JJlzjRn3axhUvnbhlyMSdhnvyikRw6jk qENFPXeoH0uSdtdUKsaD7dHDJCeaNOBs05uNZbr8frkf9duyueBTFRImtmO5 ryw0ftZIThs8w3KVx2KjczJDt/xBzfI2PE37KtGcZc+lkf9QFKbAsTPTqLOo Bw1L5wiLK8lIWynh+5eW1CoyxE7jy5K8ewl4Up3Ok69DmBlhh+9jfPnNNpFb JU0YcjwI5XMyuGqIA+dl/4b/uWKMdNLgkb09GOEeR6HvyQ9/3zin5C7G1jQf frKXsDFXg37HQjnWV50tC4L5NEdQ7sYP3CnszeLfUxm6Uo0/XTviuTS7E/Qs +OrOCB43r8fV/NM4vFcDBsPPiq3pBtxcsQTngt2Zsjgdl8rT6PVGF68/ZDJZ 5iMW9lmD9fbarFxuzazqfIl632bJqspcuiQP4Fj5VdgszSqTscdF1ttu3LDp gKS12IG364P4cv04qr1Tpk+SDxXnjuZ+aR4PfPYafPIVCS1WXGGbwO0al7Hw 4zvJehV1ukcN4+5n/TmkQy1aVMKwQspFTZ9isCr4IHzbjok/Fw14b3I6axdE 0V73EeSuaPH9PDVKnu7Bu9G34DQ+iT5tKmzXfYNNZ+YhpWyzJFhDjSt9HyA3 y51pTpr8deCu2PayBPt8WvGvtjP9dSKoHmnDfgo1+G56CT00o2kX/gGlmtbU eDRPpP7qzpg35C2fe7jmOYUy+mZ8vjcG6+55UmdGDKtc1bB3/H2sPTWJN+QW YoVFNczWWHOksg8WmCWL5xUTebutGYFlnTnOKpIr1k8Vmx/153W7Ldi/KQQa aeO4dI4Fz7tn88+dBDaq2lFRdh4Chp9B9cN4SblRk+gMCbcpTOKvm0bMvTJf +OuaiNNe+4Rv4ylRt06NKrFvEO3VE98G7hPzbo5kVXIfxuzMZX3Yc7F9diOu zHdiSomyWJwj5d7QMkyWGcOtQZtgtKcjPKICMDHxIVRsJyPkWIU4kjkItSry dN2WCvMRljw17Q/aKmSx+2QWrfw0ceRaV6SdtBc/fUz4eeo8NL3TpZqXMfNT ytFdRpE/WzVpGTWNw3xqsV13BEP0k5l0YypOeo5kv4aT0KEp+3aZzGD7XNoa DuawDzdwUStcykfSzJX29+w58fS3VeeWzorMPPkAd34dEk+s5RhyOZiBJb44 +yOXj2zNILu5EbtfuGNchit37IummP9MDPFXo+1jYwr53eg/Uo6nJvfm+hWm LJ1ZjR+fShE9eRVUe0nobBhDx4HRlNe2QYdnh2By4SD0bBeg4E6zWHj3Lm6M HwTHF0o4OkgF014MQnyEFes/BLKPhwLnlcfzfqgtMzumM6+iSdIa21OY6I4R KRojuGZ9Tyjo7ECEvjWdnSxQ9Z8pzQ6XYf/6HxhYncw9ht/EnRnD6X90MK0v mNDs4E+MHL8a5stCeEUznj9fWHOWiQvVw1LY5BHJF/NeIXWGAn+0SBizehXe nvRCVS91Wh52YdOLLHZ5JH2O7yVsehOMJUXJsKnJY5aSJZsdenNSVgd+21qF 4iIfOoyqx7b7DRix2htmH7ty5LBR9Pa05MVR48Ulq9c4PtufuxufSWy3hmNK 9RqUuhcjokpLhCn0pVJoBjXeubNoTh8G6CUy70NHbrvflR+yc/k5eALktxri lFEiz31QZfF7FYZsXImy3RJ6TBrPcd27cM+PePYbq8DM9ARqV/xzySk5Bc5R ZOQsG5e/8ypR1akn3yhMYa/fBnCwjmNnHR1a2pnA3DiLh3q340Gf82iZpsGr i+aKxBvzRFTPOMiPzaGVlI972P5C/9ovwuX5asklA0UBjXOIi8riAD01WmYO 48BfzyUTjEbz87qborPMLSzXTuDpyM5U+GvJ1LEL0HHCURH2ZyJlC8JZkj1E rDpgz5lXl4nnc4L4VbYD5kY+RFj33RK7EDkpayajvOkjZB6kSeenH23nD6Bn /UTW2S0S4RWeEsM3u8XHG3l0sSiA+vsA2pYXwCrGkH17LcPOSUYsTIrnXvMz wi2tXjyb+A633mkx/spaobnanLMuG/ON1E1bzkXykfVENujk4pWxH3MuBvG+ 0VkckHrzB89epEIzbo36iUOLU1ik4ujS/ec7RNX6s3+RH9XXV+LBNQdOah3N oVt9RV3NWnwelCFZdE2RW37IIGV/N17IKBPF33cLrTNqUH9shYY8QVEyhW9P VmLngO/IqIzkVM/HGKb4Fw4nlLjo7ziqPxiO2m15lEl15bm6s8Lzr7rQs1zk cuB1FOaN2iqizP046vxiFC19gFNPTdFt20Q2r7Ni+/Ih3PdWcPg6Cyru9+DY e8dFx98DaTi4Vnzf8wsaV59jxvoUKknfO7lxBrjtB8x2h3CkfQJvfEii9/V+ HJUox3fXkpg37RT0+2bTRO4Ytv1UhGa9KdufmmHTOSWkmYayLnIEe7dWo+C3 hB8DukkmFDRg349hrHxrImI3LETP51M5XG0FNMKyaFrUn7vbg1k9dTluTF+M 7NkbcXhjtsh+GcNZXmlcuF0D9vcPCWdDI6jl5rB2xzgp1y6X/PdEgessrgpr vS7YM3O/GLK7P60nA9pFmcxZ6MQyqRscPDKJM4NDudTiL/wUHfn60Vyk9d6N d/PAlucJOJQ1H2MWaXDJQolQ0W/A4sx40dVuA3rG2jHvnyG1dVLZ6tyJIw8W 4uBNN4w+2I+V2kcx9tha9NSZwny3RXDyn4QVlYN4AWEY+7oPF96Lp5ztWJRc U0dQaTq63k7llTE5eGG3XEQ/VOGLqS686KqDl/7rRe/GAZxmlYg1w3w4ojGV 7a/qUL40lq7NP2HvakEzXWVeqguj6Q9lBnn0lHLKSMaUAm06zgy9M4rlmxy5 va8TFql4cZXI4JAcWxYafMWBuSq8u2A6lEPeI2PLT7w62QzG/0F2QIbLqx1+ fDSkLxMG5HD/txh23J+Ff62nkKDjhb8FvnziehNqr7L45rQjZ3hMR0xrHXYU bsS2D8M5blsPeGlm8NuFgVBWOoPCkiCa/96J9GXOqFm8WyRlhTDKS5uRlvNh 81MLCRcfYZ5TOiW1V/H0WDjv7XHBuUursN0lmeEmH9BtezjziwygK53tti3f sG7RSuRcU0GWsz2n9O/HgVvKJN+0rVjmrsB4vQdYcT+cy273hoq5JR+d9OC2 j7PxZu8k+k4dR72weNw8fxQFfu6UnB6MR5IzYsjxyVzx14R3R4Uh7WsCW2/F 00phKI0bJnPOFw38GDOene6PwUFzd3a8aMmiqD84oWnMiu47xG2ZULZ3isYu xXwoD1ak05qFCCxfiPk/B7GlVyC7/EjgyepdkiNiFINCJzB1SDxjzvqhk1My D/Q9iMhyL76e8BhhnluwZUMK5RNNhMuC90JZ4ZXQ9VwE+9W2NLKbRL/J7Sjx 1eGrfuo8P2IE+x+M44WOFvQpiqfBiJuQv9GA2M/l4qmGEXvbzMZDeIrc+HzY OaXwnqk8J1tosO7iTIRUBFPDVoZlln4sUJJj7a9oKLboMXnGJZeh+XL0SzJj 3sO+kJMHF4wbitT0GBZ9/oD/1Inx21y5fOVlFARuxDTmo9NAI76L9sc9i2WI fdqFx1Z2Z01Pd5raT8Er9yBun+bHIyVZfHrrM1ZG2cHaZ4koLLGngUcsR72J g3Jn6bkm2vH5iReovR0v3YlGLLrRg1eM8xA8y5fBNwfw3Z9bsItToEJ1HvzP pPLgRE2mLFOhbtwgqteHUKMwEGPa/+93cSlre0yXzDV4ix7ZxpzfZzp89ukz 5pkmu3Xpz0NzVouu9mGi6dVQ1vwnS5l1nvyc78CpZu2YELte8m2bMzd3bobW gRP4cM4VH92uQtHOjN9avsPpjiaXDXFDVpwKNZ36o0H1H/5TkufyMk2+2Xoa d/vHM3DuYixYugo7ZCdjkrk86yftwJw37ixxi4DTLGWu1M7lu5eOvDfOS7ja 2PF9Bfnh8XnRXngR6zPHsXSeKZ1exVHnqQ2ttq/E9VMmFMva0WKQTpNuZryW I8/Nb3e57Pwny5poV85aPBD/tN2Zk7sIexzP49ntHKoui2aOjQSDE0KkuebB 2yMnc+3ofwj6ncz9p0biuE0hbFo/SbSWPRIDTPRZ1teENj7evHLDk+n+I2mv F8Kpox9Lzg3R4fXh5kyv6kjbgpEwNdWD8+t+bLP04ZOOOjgTpoU/47cI3SpH VpTXY77HSYyO8OH5QDk+fzeB/QYr08mjE/Wm64otp8g4nQLRO/0PvrxTpVjs KC4bubNH1GmMGh2IY1Jf6/HQm0efEr9jMzi4Sw+WmL/CsBg/eJ4VaFp5T9h+ nCHGDtPk44xnYu3HwzDq00maZ4Z0bBzGLvPfiH/z23HEOonv+hbDuW+2iGye wG3b0vnS0ZyZJ4bS830ScbEUO/v0QvrS+TjUfAA7jiXTL+4ItLf4oOGLFoP3 PxB/rj4FdVxo/rwrz1gKHnDV5Omw3pw8bC4kDr3olK9A6yMKkqVJP9C9nzHM 9jpSaYPUZaXs0uNhGvHXnbqD1cWFfRVoTpHwXfk5PLVYDbdZRmz/8AOL986F 2HYeC+QDcHLrUfSKKMCqs1LWLBlH84mPxbY7N7CxbASzZIKo3LgBt+6rMuS8 KyUt09h1dir/ntoh+Zu1C0ZnNcWdATp8fbAcUx7mcfSzacgxl8OrYl1q//0q WVv3GgYqd8WFjWFcvMNTLPw5BUVKwxhfuE48lu/A+YWBNL+rjadHkxA4K5Vn svsTg3uw4pQV+8sPxI+wVXgnq0G7v3Xo+PwU1ra50+5ULmd5TubvhL+Iybfg BK8MsWH1B0nA6Xrc+GXFT1v1UdSgwfnTTfDfuZuo9DqEmqlTmRRbjPvyfXn3 2zY8UT0L+zg/fnx2E6881qFxhhsr1EbzGW7Bu1TaU6lynN8QQI3QbnRYkQnr sZG0jmwSBZvn4/xWe8nwylL03d2Fx1cdQq9Jyjz7w5Lva26h/U4quSqcF9cU YY7MZKZazAUvR/C0hx8v9nCU3j+DvQdlY09vV5f22qEcmGBE2Y0ZsPq3As/c 8mE49qyo6N6HMvL7oDl8GX5HqPJ9o+DR64dFp/qp3OI1lMf7CgZH7oXamfU4 97pUGB3rgScFQ8XvV28x0c6Vuc+n8Xu/pdi4qweNnz6D8qZQntwUyzt5cnx9 dYO4mvsNDfN7sUOfG1C6txw6SyP5/FsQY3AQC88oc7/lLJdhl6+IdW1PXfzH bMX9qZaUZJjxy2t/VvV0ZNf58XyIJI6wz2OOZl9OmBvL7f7+XOaSjBpZIwZo 7ses5+mQNz2P7sfS6V+oTuO8ACRXn8DdyeO5aHcOar3lme1YjaHb1dhbmplL Yuuh6/dDykJzYFycypnNU6ncAAYbZzByjJ+Yf7EOkecqxK5FIdyTEsFVlqX4 M1/C+x80mPXAF+sXD0OF7BguO23FO/Nj2abXm8JqNPWik7m8UwS992aIFZfS uW1Qfz5S8ea/W7tR/uAK/HY8wuHzSTxGOQxw/Cuu/h2IWScG4/HgVbB8150y 3T7jY81SZGnMxphfaigsaMTt4yoYfUKHdjGhdPabD/3XezEidCgjux+H27Rc 6p2vxs5eEXz/tQ1OPSN5yH2SsLx2HwHXnDl2lZL40fZM7C/8KdRPVyBkqTu7 n/2G8M97sNc5l3sOuvNtWxw/N69Hl2RTuof+gPBwYe+0NFRqyHLDOx2E+Wbz vPFwbt/QkR1LJ1I45XH8rtEoiXHA4cuOrItWYbVSCr1ozLVP+nDNySVoS0vh Xe+Z4tnC7pg7/jku9LLA6RJDZisfwZOGbAzzlUJa4hb4qE6n29lHsIydzjW3 B3PH9WxGFc2G+v4IZkX5MvViCAOygvhm8Xie7BjFrtNSWXYrlyovZ8HKxJsB hvvwsUNPnri6EdcUjLnyVq1EoXuWOPpnNkpztXgsLYtnmqUOwiQmtezCaLmp ON/fgMqyhtRIC+bu+01YHSJh1z92KIy+jJMrBvHu3t1Y3uxDs/YAbpq5Cq5+ UzCkZh92PAln8+a7CB16Bz7PT0sC8zbj8qo7+NRmxJvnZFA8W4V7Z23Glafu xJ5SZB1eirPvzan233F8qLiO76nyvCB1++VrWpB65gj8fNcgfu54KiUO4MGO RRJvPVsGL3wrOb+uAXc2/RJT0pdi8J06lOithObfFOg8SeCuanOJ17MUxhuY 8t6IIFofCmCXKf4MvS7LhpKJ/H6wC9UepnPz/fNI1+7NHUf1efxFFIskhdj0 ZySnaM5E/rS+onh4K15UTEBgUn+2O6QzJ38kVzSYc8ZBL14K2Ay1gxmY5daR j8/cxI3RfWj0yoxnwvRoqHMET/21uaXgCd7/02eRUmecXz8bxZXJbFbUYOCI dryr7sXmNXVijVE6G7ZL7zm3Cj/GdeLxEmMG3m6AuawJFaeXigOmGbxrHM5e WxSplXwa3aoXiPMn/OiTMB9XB0QgzW4abzufELLWk7lp+HDWDq5EYeAgXvb5 KqxeGXNbmxKvmegh5N9iod3tIxy3bhApN71QUdIsMvK9ef6SJ9X3qtPPfBnm tOrRqUaJtoPnIbbVnLndLknyjbyoUteC25dTGL5hANty+vDtIWkuqATT96KF kI214m2/MRz+7r4wDm13MdPI45cdxKjNr3FVN5CpJkWItJ1GibkCX/gWSy50 P4VB30yY76ImvU4wwLVSaN9ejN2tdtSJWY3m5XqcsNqTHrdPQcnpCHqO24rG pA8oP/RNpMoZ4OnGV5D/WAfbmflwu2/BQXGvXe42WXHuya3i6zMt9jEbilqV ONRd8+XJ2t4M0xjL+7NuYtSHQfQfORNFD2PoZ5nORS8SWD5DhfYvx2Dz/Rl4 mBXAf2+jefSmKf10grh1pjyfxbxH6QwN4fr6tPCxPYoHp2yYvMuQ6U27MPWK KXuuiuDHPZ706/dKxFqnMp5d2FPqPuKLHcKqvTkiygWDZn9CrrkKx7TW42Xv Xjyy4BsGS9n/0JpoPEuMxAxHDXRIGsTK49oib9FCoWq1V/ptqpA/Xosl3T9g TuAJdFxwAQ9Hf0P6ugG0NtqFw69uQlVtODX72nPcmgt44DoPE6TMPsHiBapS n4lN+wLYI64VVQPL0UU7iB72dxFfMphnVttwzDo52i3YjS6tHTkh9BgmUZsn n5XjYHEZ7ihoscvlKRwfoI55uzuyx4tm7BWvxOmvGdiyVpYDL/xE96c78OyX A7PfyHBFsw09DcK5ZYIrXAs1xfq40TwY587b97uzh4Ie5yi7MOfnAJpcHo8D JyphWdyCJZ8n4laGCm5+rXD587UHx2Wrc5uMF40M/NjueRCKiW7sYzKONacV eeOSATXi1JA/pU308upMnVl2PBNTjpL518RhuS9QLP6KLYqlKKtcJ1zG95V8 dpiMeYG67Bz3HrM9VmPsaOK4+1TaTWzEPqmvH5tShTJlLzRmV2D9KjcuHJyM ULsWfP/sKNEdkcbd52W466YWPztZ0rrYnt2nvkO/7i1ilNEvbHQLRSddTfZ6 o0J16f4t9L8ohqRP4/iMzxh+yw9nA4dQtT2W3jdk+GaRNmek7cevWxGIWGoJ 1x/z8aVYC3uHxvHRuS5ULdqDOZ1ssKgtRkSd0EC3S9rI0dXj867qfPX4rFj6 9YtISjmCxVEBlI3OZdJ7wXWr/+Pfe88xZaOES3Ti+cpYi2el/qfU1CaeO89A t/t7cKOHNDdKFHnSrht79t8nts8biS1l6axbkMGTWkuw1Xs3WnakctOSfSj7 ZMdJAca0K3fDIzEENYoG9AjN5eUWWW4aY8yyukA2JBjjxN1ozLYy5YnpWmyz nc71CxKZUtSDepuzsOpOLvtv68M7Z3Zhs5VEojo1ilfHHkdZ+zU0qf4WYRZL JPu6mDHF1RWrf9UjukqDxe42TNofR92aHixL6sFudgHsdTWPD2/Pw58Ormwo vo2QqAROf/sE2Us+Yf+MyXDsE84fpkP5wTqXEbb/JMEaU7hnqT6flp+F2jpr RNych9vG3bjx5hxIDllz9BRtTJ/dimM+p0XsJSvIRynQ+F6i+NFswdp/Yxj5 Nownbn3FIn0dDvT3otmcxfByNKCrRAnaJxZg/cJ4+nqE472hBb+XJvDugkiq mpxGuqMm3+ZsgY3qFKYrHwI+a9Lzmj6d59SI722Z3PpX+g07JFBfS8KyMb1p 8usENuY7c4Z6EOuUL2GuSox4vTOTVjaR9Lvcj1dbjDkodRoM3jVJfG+dwoT5 syDfvlI07VCGmqLgZ7nfcPugzKguadwp9fLyhni6bXZ3UplZhOX3rou6glEs /u8G/HeG4d9gK0ZVLYNNeCfmLIjiQOeFmHUxDx//nIZdsY2Y/2ST2BvvQjV5 Dy4uNqJy23j+6exL+aslcBGVYldfcx5PtMG6JCspb/RjqN9ovpzRm2ax/yBz eC7mcSIjB6py75oe9Bj4FnsU/XjOVJ4PLhYhYk0rlu+U5z2DTRK/6kROrb+J 1/IPEF6wE3uqrTnogjbHqXdAVVsaNbUqYdN/AXZdUcXwl8dxbbsm3d2Gc4SD K56lnIVmfjwtVs2HvFcah9b7MWvdc7zKy+StSjlusnKnadwSXFe5j7S4MzBc tBd5OkdRazgNj7baCJmOX8DdBlRR/SR+vXmI21UqHHq7GYsfLhbGR9wZEroD rgXXcHNFICWBsbRxWO9yRGaJ6C+ng/77K3FO3YqGbzOYcHkd4ors6N3QXxjM vCq8Rw2graQE9vFPEVzyC+tPnRBnLOqwbFMV7nVfgU5VudRebS9+1x8QDyDH v29ducV3Bw7+9RDB7ZZ4P1OVvlcHQaa1H1UmX0dr4XTGnjcXgYa6PC05h72F eQi0CoGb0GAX6S6UvpmDvP2rRfuweizQ9GLVuHyccj7nrBT4FGeKfonyzSPE oT6CSztocWXheFp2sGTIk0l8NySDTT3k8Kt8CBdO7y+CjsjTfFJXquq/gOub Pyg034y6g+F8o1spag+sFreEJw+2CvqMsqS8YolYMDhVjCiIpoaXi5B5m8vY i9VIClko9s45ik7S88qdmcDaLbIo8J3M1vRq6Gc0iek/qvA221Joimheu6bM ad7TqJv/Gzo/o8SqQQl8qqbCSeoHJE6DGsW4cqlvaz4SR7L+Y+wSe9506ccS wzjO7Dobj5XTaTqpCLaO9tz7WJeLHk3DRfXtOLFjBorHRsMq1Iv3hxpwTayU DaZ40PZrCt7c8uOyW4+QvMqGh+5m4dOoBmxfHMx2EYiX/VbDVz0DOreC6JYl 7be9C7HLJI4bv1pxd8+rktGD7Jnq0oN3Kk14U5IDC902qHb7BL09GbwY6UCr xGmUUenKvRsm0EuuCvO9g+h1tjt/Xzag3Gk1GmcasWV0LAfk+nFr4AfoL36M aLttuKvxAYt+ptO2aTscfL6itONaybmeoby8yIS9lzrwQKIvrB82CQf1e/gw 6jJeHusM1f4TmBjgzxC7Llzf0J0ZY8fRarcaOvmGs+qKDhO8Z4glD7rx4UVN vmvIoNf3arR2cuFtrdN47zkVCoZ7sCG6s/itb4j5s2P55MJrzDzvyE/pHTlG YzBn7RvGGQmqdIkcz2f73Ll+eE+47nSFxoPrIrv7U5xoMqbh8fXQHmaIV2v0 qdtsSIszKZAfq8Yt/w6jz9nZiDF3E/cypfm5Z44YGD6VM4yewWnkCsn9UwUI lk1n29/DaFZuQsktI5qpGLOLbw9qfs5h6MoqUSOTy8q/TVj8tJuL4s/xGO0Q zzGdBPPTgvgkeRybqcEdtX484NeTZ/Y58cffEMqZnRH3rIJZE/0bJ2/1pdfV zoyuDeediuWI0tuI40+MqDPjJPZVvhUtJ/RodWIqW069BcduxK18qZzLxJFD mkX+OAX++bIG82/fRB/DLpjaqQLj+/TF5OHdqbnqpRivIlgvO4nd1hUJ75Jt Yq/yEMzOPYxpHtVorOvCDAddtJ7LoNzaGK5ckUzHJR50nS5LrZdOkq+Vb/BH Tk4y4d0eySUFKdP6JlAmojf72ARhb7Q5ZxWR+suH4PuHYiz6mwG/08Z0eHsB O2ttWfUfeKDqkgj9bcfRm88L5aRg2h++garGvVhpZ8F3j9+guWk10rLeomdw GAu7WfGLd2c42iTzeS8FrrEYzqdN+qy5mEvlR9Oo7q7OuQstsGX9FFZa22N9 0gP8HNaBOZP78kvBWFZaLha27tHs/yMQQwq7MSLTj7dPmdBz4gIkOZ7BnywJ h7t5o9jpPSLvaGBGTSM+LXuEfHbl/VWWfLJtHyxODmPpBC16rx3BqFldeKBX R3Zo0aGPdwAzWkw5JieJp/K/o+emZlSsSuSuOkMmTO3K7RbdebcknheuxEv8 PKuxwEKFtvlTOdFuJ/ruGs17KW40OmAveko2Y3XQEE5TWiec9z2UHDsC2jUa i8bFr7G3qhvHGoeQC19jpe9AVvXYiEfdH6LOOY6HfDzYcsuBbvnj2ZCZzgKt WO6Ya82XDz2ZEPtM8t/g37j9IwMXCv+h7K6UZbpWoHN2vRjzIY0x5iG0maJC nZ+O9P6zGjWPJ9C0rRl7bo/kj7uqdNw6Fz2W6iDSrBJv+1sz54UOSqUz3se+ UUy4VSrSh6tg1jHScUAE/fMvYelJY346qc2HORW45DOEuzM7YaLrI4wwGo89 iRM563Bfulyohf9zwcT7UfSbk8Ixas6ctFiNK4e9h9fROqxzPI6506fTItuF vVOuYOATTc48EsiUmEvCVC6NQybuhP+RAXypn40vdUNwdV4M10+ZRKebkUxO O4yMw5nUjN2KUq0DuPFkBp55KOPqBE88yt6KXa0H4eumwAodcx7wSOe5oH8C Bd25ttyYU9UskP+3WjQs6CdlaA/OuLUIjhlxosaxViI76CE6He1EjY7zRX2e E7eXLcWaXd50CNIV48YvkNzb8h45T7aLCxUjYL5HjZaD3fgk7KLwG/JPNHe7 iq6+Y2m52pBul9okW6TX77eOws8vCXQfqIdLzgOhdVyFL9+5MzziNjz6OnGE WgCHHrqITNGbsb91qVeyCzGT8jFyXo2kaNpj+MQvRZp1DtM9gnj5vQ6nhJVL InvGcuyvbxjftAyGT37grHUjogMG8bb9Wpe1NWp8/l8slRo1aXzZEqnS75V6 dwi7VCvyq3seV21eAIO+El7tbcbwqgrodlsl0a6fhGdnevFvwjwx7dAlOC4M 4J7Vm8Tt9+tQV/8Qhxftw1FTHQqtHK5vjOZorQq8nTkXgwPvoaXTVyE5sARP 5QbRuHwor799D+UcJ9r5mXLJJGfx36VFSCzuKNktzmHMf+G8VP8dbT9WirS9 xaK4ZLrkhCQf9yylM1venZHJYzB7dk/eaXsL4wQ9jkzYg8ung3jTNodD59yQ xBfcQN9B5nz+dh0WDMmHhc1ket7M5LzZfdhN04Q55Wocv96EhRUdaJ3YkQve z8XhyP6YufmPMJ15GNsTw+m6fZGYfnAkp868h/5WlTiy6DZOefzBJaP74kFe MH8Ns2bWyyIRmajGkJYYVgd2ZoMuYPNEi4XnBE0Tr4sVCml82F8ZCb6+dPL9 CdWB3WH4II/vmzxFxBoPLh9xQ6JWQ3p8O4bqq870/R3Onh374vEBE9a6qmBs qwV3J59HRe0Ivh6VLnWIMqE63orDEoZiidxWcabnGBifVXS5mZXB/RnPoaU3 Fuse16H5Sjk810Rx18ZEJrQ9wjMtDaqt+SKuTLiOzU9H8ZfdUzzokEXnRy8h H3EPN2NdcUK9Fnc3DYBN+SSa1A7BhyIVvt6eyTmH5orkdS5UTzzocknRgxt+ KXBGkxZMQwZjesMKWP8Zyrg5P4XL8XF0WCXvMmPRG3H2kOD7gjnYu1OJ0X0N uO3UCnz3NJC88ZOyhFYIkx7HIcw2ndN+rhKbg17h3NfNqNyVw+f76tDUczKf yyQzyMwZ3naFot+Hubi1yZld++uzSOoS85Ri6KlnAcVsd9YOGsrXLTPQ7tcI 9/HSDltgzONz9XBSowRnyvV5VOcignpMYELnGvjoj2JauxFfvJVgw7J3ULrS iWqafZgl7uHqQ3WaPc/Hk53DqZZ2W7I1wIULHbVgltuZ1mcWYtzct0j26Sd5 c84PF6Rs9OJgT/Rr3S5R8c/kKq+n6JbeE5u3WXJAeBdGXFaiQ+hVnH2nzLgw J3FubzauLWrHsLg9mF+yGdkXUtjdrB4yt2aIkP9cWS515omzVsBJrQsHOU7l ziZQVpqtir9vQTZ6C5ojXooStwLUj3Vj0ZVbsJR2z2afYXAoNBQLPo0Xmm2f MCNmoyR/dASPL83GpuChnNrHEhs6TOePE3LsOaJSFM3JZOuYCVyzVp0OT+zQ a0Cr+PE1iPZGq5A8cCu2L1qBt1sU0GD7FgtlO4vkiVnU3fcZZg8knFmoxvZR plS6+hQHPP0ZuNCTVX9cuEkzD84d+/FivT/759VJNohj2DQiisOP1MB2tz86 jIrGv9sT8cylzcX/8z94Jwu2m6mwa7gNq9xVeMerHqX1w2inqYof90NprHoS V//04Wu1K1Cql1Bc78oKaS8+1Z7GVWs8xIBxr+AxS0a47ongr9ZLeBOYyoL7 LWLc94c4drSnuCvfidYVUtz5vgF9io7hklI613+U5wmHvuzXyYQxd0JZKDuK 5+XOokvbKNapPhCzV3vDdfEC8UlO0CkymcHLciip2o+Zd92gam/HJeaZjPvg y/9WhdOu01Bw6xNJVlB35i2wZubTNoz9OYQXbNrF56wY2nV5hMTQcZzZfEL8 WODNVsX3iP8lz9SWVZjxaAqDckYx+etUzitdKuQre7EsrEq0drbApcbr4trR ashZvBL5Y54gJGcyB8g5861XE0yVpmNYiwr/q5jEffr78PprpYvVvGg2HpWe TVgibQK0uMavL89rNyNwWDI7XbNic8eONNlmzPkv0ulUo0LDydtR0NqHO5X0 sL7oINIHmTHH0Auy9WqUKhSmJ1xHuPMBJOhJfVIOCLHR4uDj/2FulA4C7Gvw fJYyb81Nw6QFl3B4eAwTXWWoPOAMikIncfcJL2ZN9uPxif35akV/OmavgM3u SEb1T6Jzt1/4ne2KisRrcF6/VMTuPIOcJG/4hrlzwTZpJ99P4pMZsWxamE2l zZsgc2Mwz3wLopp/FJuVOjKmJpYjH5mSBbNwTC0TxlI+Cl2azdWvr4tc57lY +0fdJWLld6ySu4GSPuV4164P5fnOuLtOTkQ7S/Msag5KbP0RfcyGpy/IcGxu Fn9cPiASh8/HBv/Z4qNlPD/t6sERNwFzW3mOfjWZi4tH85NfDpfUR7Bv7SQX r4cpzIysRXDseSSaXULOlxTO2PUVc7dVY+wmOyotCRQK2W6UJP/C4bF5bI19 iT/V/Vkw8DqsDRzp9iiOqvVKkJPdge9zHNhh8W9wRiNC/f5KEpe7c/Ua8t+0 6Qi7tAANkX058FYQOm72h4qvPMMTB7D92y/YaeZyrvsXkXHgMobvGSqcpG69 +8x1aJ0N44Ww56LFsVys/BBMlavtePJrE3pPqBc3v0vZu3YRFrkNQMhIczQP mIH7waY0TPgoalLvSuQi3gjvfcNpEhPHQT2SuM29A8bIb8e7z7L8fmMY18hP 4sCDtWLDV8EPZ16L4smLJBFDnLnnzx7MjY5mYHMBPBKv4sKpeNSXOzBdNo6W p8Jgv8ofPidfCnaOp+GuBRi7qwD5S5w4vdCVk0YsQMjvfjCp0EPY8Zl41v4J 4wrC+c3qOH6n6DFwjDzdM53Yf9VsJAecw8OeH7FPuVpMmmQjbOIiGGQyjJ5W X6Cfehpay3aKe5tOYcA4bS55Oxuvl6/EiZF9KNcjA6v2mTPgbm9eSbJiQ1YY 1iop0X3IZRzZH87Ovkbcm65L+z0rURw/nR7TNorHj1UlF36E8kLfkxCfJ3DM wa2ShLppjOy8Q2Lp40OXJA1+eNado58liSVHVCjrNQKvCnKZAD0q7NPnkDYl zuoQwdkOqfyS+g/JU4Uw8a9CvZTB0/3NKTooQCe/WgwuNWb0YDme7HbU+e/3 VHoEfUXhhWxOXBPDD38r0bCqo9j3q1Jcrk/ioD15jBOr0W+7Cd/sWS0+rnRh h45FiK06IB5cSkPBtXmY1WDIvr8yqb1nLE96bsO5HdO43l2Jb+3fQ6dhHJvu T+GL7sEoPNMifut1oOW0K7CxegH9a4NZIdef35pG0KDhOdadeoLw/hpc+18K hl1thdG93gw37skJem6Myt/qsvu7Cu0T7Pl85EB6Z9igWU2blfJpPPVYgVMG 9mNpwCOMC1Xj/kw79p4pi9kRcnh0tAHVd1LEHWHGZTI12HHNkwPnnMSfAVEM aT+EtW8SOc1hADSUdoudAxqgIK9IAwsbbsnqh2rnM1j1+Clc4p5hn6serKbk suSkK03mLYX8vymcnVgGlYIgSeuQ45D0+SjeSp+dlRbLL6WbUfN0M6YY61Lp 9jcUOgXQM68b/0vszIlFUZKhMYp8GXlfsjN0p7j28q5olclmWo0v10Q9Rd2c cHxXqkKM/CcoGi3EMrsGYVX8CWf/m8L4Q0U4yqHMfj+Ba3+psvO6PD79lInn tqpY/ugkNq+24pxzekyx+IGakA58uiGXPlFeHKhkwR8TzuHbQh1q93Okycox dFgzhd+W+fDPsstQr5mBBDl1MaqbFifIqjD4iA6zdFLxamkHsbPBmBOvqXCL tiK1pniKmTke0DExZuZtWfzbvlviK2Ugy0MBlG3NFypK5pjSbT6W3w3CUwsj fu5wStS+7wXN1i04lGbNmzuk+9qyBgaVHrCMWIXbs76jcFIy7SdqMu58Vyxr 2oXfug2oilyDslUj2K/rU0Td3AC9d2n8/UGJhxtuYfPtQzhyzou+UWNoEJ8r Ms924WEpK8wd1pmGP1OpMtKd9aIezYYSNG/P4OutQaxzroO9TCfIWryCd0Ml Nl/oz/orZTh6wI3xNSNp8dmR3wcPpk5tCAM8t2OetjtLHzdBbvIzSKrWQu6Q F/cW12NDrw7skaCGSIM8pizTwfmDiXx7uAeNjEw5dFAO9xsPxPjGLUhS7sRZ SZ7UXRBL1Z+jOeZ7E1xOdeOsnEjcWHIXWxPjIWe9XXLRPIHTulRh1htVFiYb cnFgJ06W9mmyZi/22bEa3zZ0pNb2JRj7w5p/j33Ewxt78F9NNbxMXWiXNZrW cYO5OKISkp5taMhcgB+LzBiyY7bkTp949oo+hBf5o6npYIvb1UY4sGQKv/v2 YvHhWGoGOvHY10qk5KZx63NrqrzcJOJUoljm2J02dZ1oZhrD0uZYvlhnwHP/ DHmSeojxd2TngzEMX+Emnan3sH9yHR/duuNGgDEU9vfnubJXOFR0EvHz0pGZ exEnG7NwTa8Evk4XUWGyC8UBLYjYZs4dwph1Din8MScFiR/SxJ3SpfB3O4EH LXacs6gJegNeiUH69WLWoqf49KgHYTSI2S5q6LQgAmVLHuKV1OP/uPZFr8II ykU8x0UptwZ/OYvLhtvgszqPcpvKsedxX7pOniXZZjMI+zpFs8rgMB4qF0Nl mwOG7ZkN5yOJHG5iwQ+xU5kWGcj8d90YtLkTJyKPI24ZceyILI5WtuFbbWuW dHUV6YnTmKsVAA1NKy5xjOazAxP5X1Qc/jg5sf64IgYv9uS9WFs2Jdliz+Fg 7HnohAtlF7B8ig+nOqhROb8cHbaPZP+iJuG/xZvh7RZC7kUnJu/Sp//RoVxh 8EeU/nohCXk4D43+Xkz/HsqUUnUurLLgzDAZZrx+gl85uqzIt0G2yX3ENRpA RtuDrxtnIH1IBzpaBrGhThHa7cMlfQaqCHndbUgXCbBrVOCGoYa0L9NgP6fe vNqtCwK2dafTCUMGp3/FapWX2HxkHsbV3MWkWWcgWeLCg+nplHc9goCNjpz9 /jDUuo7jJd0w2hzuzeqVR/HZQOrKT4rhuLcSesNvONdo6EoyemuyPWi3OKPp Lm736M6IJzvQ0hbGh5e8xcYJfoxTLYbTXQu2V1zFZhk/3nj1Gi4SL25/cwtW EwbxmpM1Y04Bx54MpoPsXfR7fB5xs11oYP4LwVuHs+54AJ0ubERxcCPUtEw4 8bklZvqPo+/dMhEZrs3FqY8RF77RZe2cUkn89W2YVbsbDV912OHXEN7Nq4VO 0AwpJ5WJ8aMXYa6UDXPSbHHxczGOp3Zlwq7FmJhlxoZph/G3/ioyb2xAQNEE Xncbw0/Lf8Dkewt0LzZjfNlaseXwYgT6npZ4LAvgtDPBnDgnV0w0fYwrV725 6EmdcBwh0HfbDZxr8uGUvyHcPqozj9SpI8DJgwlvZuDxCzn2GxUqOTrpDLq3 DySfDafFilNiiXI8337350O9LF4Oa0KJ4i9UJYeKd4XGvFDcV6ip/oJijwP4 kncNMmmFyIk+hc7OWrS9o8ZWHTfadmhEyKmreN4RvDMcPHvQhA/ijXnx9kGw sRjFKnqcelWLH4YvwcO4YpFn5cR9o3vRMM+ffw45cYy1hCM6vhaTs7WR3GcH dPpthOd9J57+cgkVF2qhqrEKOb0tOF0rFgO+7kTJYns2V3/CvkvzRXWHFKqd PACrFXZY8dOUhy8pc4D/aFY+6UAxvRb6PY+gW4LUSU44SRlgK8bKuFJbuj8X 0y6gcd8WlCnn8Y7/OjSuXoinWd05a2gINCv24G3oHhQejOTIsK+OLvN8EaE4 kh8KprDFOYeXE7qxNDeS2k8OIeeBPtwKn0uGSDOyRq4fry6NxdoaR0TVeYud UxXx4c1J4TJvkbi2vA+trV2p/8UDnxaM5/VdBxF3zJJ3ZuljUVu1lAGX4kTN OMr06MHATqYsMvPn6mdRPPPlPz4r02Ookay4sE2DbWkxlGsbxEOu1ug2Y57I OjCdH7ffwbmlgZx8vRl7/+wVa85GYEdoHPfWGJLz9bhT6tKHVhRBy0GVV1ym crDPYCg46fN+4Hw88XkJ/YIsXp8WxqLsB/hdWYLJXmTAvj78EzCZKzd+RWrP QK6X5tKcrd7UNS3A8gUyNJ05XRy/F8aSzBSmBh/ByYNd+MbZlTXdP4hO0eCz EV+xZfke3Boui5kBnWj4oxeVQgLpdDmZzn6xuLpmGo1+9ZRmVQbOXFTgKEUZ PuZR6S44iPRJXXHhewA62SxB71djGJ0kcDDdD/dfDZdmRB+hftMDkc+aRO/Z NeJQtxoUtFwRPzSOwXLAR1inJOHFblJzUhQ92pYiJUKbjxI74/PgQN5f3MOl bGYNql168ckqC7pEZlJrrAwP7bCj1dtDuHt1OHJSYiX7divzrs1LjCwzYn9b dab7uIvyHRZU8fyCh6fSMHLsWBxUdMLfp9G0cc+W8l4cteKDmHZnIlrKLXng 5Upxpz6Z//5psec2e9QbHEFXFUf2UB5A43JNuswbRl+7VA74VQA3f3+a20fw 2tJazFl4Hw4aY7jf1IAXvNxx+/oNvOlShgyjw2g5a8honweY02CD82b6fPFy ougs3mKLcjovf64VMyZMES1bevDQITOx2usZBjXaYs65gZwwdirr99uyONmB IYPGsXDtYjQVRbPfEvBq+HWJ1oFSOOUcFgnaGdx0djd63y6AeYEWj4y/jbZ/ h1F6+gmmX14hFr9NZJ9ljWLgLglnRA/Gc5hzzSZ7mp0NYsKlLC6ZXYubm0B9 1Sw69VDAsnnvcPCbJp6OKsTIgFAejzfjyowBUBmoiIwr3XkveAP2J8qz8FUG 72xy4ZdQG56ynsyi2YOoNyWZer3kqVmdTjPpfFk03Ub5zxx039GNZ7lFbN81 B+YrP4pDCw+LmW6lsMg6gE/pS5AdIcNrY7ox64omS7+NY814f7h9qYF5uzIj /nwU7+ar0llTlvtmhVF2TAPOWXZm85fuHHmyHBNkxoldjr0Y5R8EF5UX0FAc zJ3zXmHTgguYV6jPhm8eGNhFmW+DpjNk7kQq3IxDp3UXkLq1RSSrLUFteUe6 L9FGep+5iHSMAsviGeeR9T+KzsMvp/cP403trIpKSTLSkEqpnvu60qA9SZQG DdqlrWXvyN6yZ0ZlFJERMr92iJC990j4Pb+/4Dnn/ozr/X6d8zoP4TsEcg6q nCqtg0f/S0gdJ3j/rdQfnvZHU4Mvn51V5GkZV1Z3y2B45kjItt4A+8/C8jdd GdRZhs47oqnQ0IWJCrclju4n0KU6lDOWenBG1VqoOw7l3661cH+/AGfv+PLq 5lNiXn0PNnqaw095Mp8mr8df945cOmgy9bt4Iq5kJS5KNqFVR51P13lynIIc R43NZqez9pg0piOHma4Xy3ZvFR6tN+G7bhDNbp/D/sRYfNYczf+MtwjZc9mE 3gIYxkp7KuynKF00iaeGatJkpS7zbXfBPFRXHO4r5ZdNRqJEc5Hol5/LRx6K lAnfi6OPVuNx8zu0xz9FP2UJi2p10EfxKRY812BylA46Vw9l9X0Ttirn01N4 wDNqGyx6qLJrmi8T3kXxpyqp3GLBz8lmLLoSgfNflHnneQBn7k9kDLdit/El 9HG0pfvfRknHjcU4fVCfM6qfwzWpmEnHPFndIrjq716x8NoxpPQyRJ2LE2fN 8IB1fBqrXIqYO24Xsp/F03ByOd7ukeBHSF9O+RDCqxGhvJf4GvVnO7Om5yWM jz8khiel4XINyHYHLt2hSO/TcgyzSaH6DXORFmzHgpGn8TfZ1smzvz9PeOiy +cAZTDx5FVvv9+b+k/n8vU+Z/jO+SL4NaRLvf0Qz/tBZzL83hjESCcfNC+eF JhdUVuTw5Jg2ydklBoztdxMqe05jjfku7DigTv0aZewq9cGDaW6U778bqltj +XfVNbSYBHFq+zP0dbOhMCyB/RYr9rhXj6Bzc8S/Ag08a0xh825/moX78m7D JI6uk6Xf1ce4rnMGwXcnsk46Z6vOpuLC3o9ommvMy7f0GJ6QKop6XhI73C2o vzud7VsWiDPl3/Fi0HBOb9gp/mqfhcLJZfhZaC4GHggQS8ucuU5xP2YWtiGs rgcvn2rF9SVnURVtyDlGzzA95CFMFliy+3MTBqf0Z16pD61r30h2Rvfk2r4D 2LFqFhp3KrJf13rcfaWEyzvuQGXzJ3RJ6SliG5P58dIbHIu7JTaENOPc5s1i faEMz1+9DGu1XDFGNZIHZV2knCf1rJu5lD0vodaLZlG4slxyxCeRuYEr4H8q SLh9nilspUy0vn0iH6hqsdv3HzjYNJkZh7ZA9kAuXQ7YwP2bL37tWYqjU3oi 5f/fjz0cK0ryZsHd4yP0Kq8hLl0Tvp2D+MOqC7tbepKr/ShTpcPwgadw08AQ e4+bUM53ONucpDunTdZJYX0U+8TPhL1FCMO1rXnB3Ybv09eJCENNvsZonrhW KrS/2+DM73VY/+Ue2p9EoiEmgqoTjagYulCSMeUljiWfx4YuQ/nV4jr8xi/H bJ1c+hSGiLJGVTac249v8ur8GKLJ4t9m2ONQj/2vNolOHp9REuzN4gtyDKkq gm7gLrBXLjo6NKLHLjdmnPiLr9/7I2jtdVR9CGXrks5UlatA+3wfLD2qTNPU 3mLjqxh+yovnVGFE2bjX4qDvN6GTqoFemXskSy91xpQoAz639qDBMx/WagXz 3O8AbFm0HPOkjBhXvkrEegnuKtkFW3spa58Zx3MaX8Qy+3787t6BmWdU6HTc mhltRZi+dB0qxpnSN+qfxDmkQvR9OJIelhLxy0qftR9LRI8cV049rSOJ1Tdn bqfzuLROixuLR7L735nI2mvH9S3GdFE0Z3jTI9iP/4BvOq8xf8UIri31Zemv y2hPisS6tWbUGftDlGtZconBDkzqUSKc/QbSs64Le+3w582dO+Gc5oRfFq/E vcleoJYPff13YYpnKBMX5mLRmErkpCvx86nhXKcUxOlDSvG6sB8DvKV17ebM 1SXD6fXfM7hXFfJ2RV/xet86ybDIteh78TFq/uWwvEUZx8KSeOv3IIqjX8Xh EFneQQ0izTLYftAW1yx78mSYCbof0qXlnofIyenOy3l7MExxE15Yp/DmmJMI auom3dv9RKDVF4zwk+X1p+eR+MCKKY0+zJgaKDLSE9j55S9sT30o5sZuFfd7 DOXqmgTOd7BF7xfdUWCTj8pz5eisbMTnvf9Ckj2WNdtGSSMrhgfVw3gyZJnD vaaRtC6Tl8T1yOf1g7/xsMtf3DxowadFQdjSbQqSuhmLrykD+WOFH2efvy+6 2Tmzy+9N2NNohZn+cXS4lcHfbWP4Ircrq4JSkPN5PgJGfRJJf6xhEl3IDjH5 sDo1lsdbN+DuEUtomm0VI80DuX9FDhNi5dlp8HJkGjrx6EfBZ12vSWpjfuPW u3QuUU1nkmw1ViV7iqglPSlbWIZE6/H8MGcUuyw7IfFfE8Q7UQfRs+0dShcl 8ev0ZOosvAOftgD6WJxFj+vjuWWyJg9uK8eL4ensmjAUu5fegHqNE/ZeiWNG 0HvR6V0lKns+QprSdcnLa5rcJJOO3uo7JRqH1cWowHKxrHiytI+vIzFtIZ7a T2ZpSwc6d9KhdfebGB0/HYXLEsSg886Yl6OMW6lxnL85SPRzG8/Vyy3JzUdh vjyWJuP/Q1HdW3hWVEoetoLNZxN51PoOVGs6896+PC7OUJEsK+yP6YYdObk8 hmVuJ6FQokGTty7ce5McciGB22Pd4RbUkXHHPoh+YgdeBYXSf8NpcdxMjfsr J/Hk1yC6VMQzxLwDK7424dyECGbnv8HxkomoVQzn9KQMdroTzJZXBthcbc4e 1WNYcNETsbs1OejhY6wzTmTTm3KxIU6WsR//4qiNdFeuS+ePqfehphzJ5NU/ hV+HkXzeJ5jbzAayOacNkiet+DGjF3Mel4iOrQbM+duZD1+n4VXACKpkD+f7 3MlUuTWYkRfKcdYgjBrP90DjZxSHmobzcm6T8Jg9F3rZZdCwc8PYzXac+sgK u6a/wBKFFqy4ECPNIFkWDlgijjRnQSFVlXJ3tTj1ryxXrLejJCeNmSM/wfB4 HGes6Enjdbb8FNaGTw/iJGmPNFlVvA/hH4I4e8193JnaidM7rUDwXn+G2zhz SnIv3t62HCWvriFk2Chav+3I31WRXLlKnh+dCmAUVoDpP3rQoGog++dIM3aI PBdbzoRnly4w7+AiZNqtuN3yhlh/YhBKlnhie2kN7m6QUM+62umtQjR+2xQw cEMia/PyWNRSjhm/PeETms8/vx7CJfkJHivZc05Lg7iRrYqpdzWZEnVOWBmU SOY2ajA6dizNzg7kphxL7jr6Hp/9QzhQztpJcfsrHO+ixJzyxyhT8kS+/S3M e+HNAP238L4wiXt3x1LJ+TAar4Dp+nb0X+lB8/j/sH79XmhebISSdrSYP/0d TpX581RFP4TuuInUXe04Oj+fJmVRbA9RE1GWdvy2yAVLLqqjzMQET7Yl0yFs Dyql7Nce5crwznfwaZvU2Yf9gGPzNaTG3MPiYV68IM2DWaYe9PMNYaGfP3u+ c+Tq1BG8+cGd7lGCqj3uoLZnOu+cDeSKWBeue7UfmvfK8GfWUVyx/YvVN/ux rFkNeQe/41VNEufq2fG2QSmSa5sx0XAc/gzKkvKJD5dzLB+6VGKxjRHlZ+9B 9gFNpiUq8chTXQYvmSx5YbEdE//48e3P87A0NGfZ+1/oFJUEw+0pHCNKYHrv h0gxMxUHEl25aXsXpqxIZXN+Mz73X4WEJF32l3Hnm8XWtKtx4/WmDC648kh8 OKTB//9vxe7UCzg+14sBt8wYaxLFAXo/4V2gQLvHCsw4vgBl899hn99WlEZ0 pWxZH6jtSGHAp3H8ZeSBtXWbJRNupKN//Ao8Wm/EyjknsDYdnGQ8QgR7KfDF 2zDuHqqHI5VrEFMVwjq3I2Jr57FUevEGU+c0IPTvFrxeUIQkTRXsbXXky03n hduX68jEMMwPCyWkNbGdkEbNSerUqS+BiaUpd/WNkOxuTmZQ4mDOKqoXJzss hK/1cbCqRJyLacDbxj2o2ODPmR23obWsCVdLbKld6o2gwd0lC6zqMHaPLXVc hvFW4VQki9d4rG3H1Q9dmJGbQb/dTtx5LYYrs8OZqnsKxy3U6N72DN8s9fl8 RDS19dU5ojmQo9obcU8hiheevED+4eMSa8VXWHD/J6wHy3HP+nqMDBpB5d1b 8EHxBdb3iec8xTHCMMeNy1WkZ/++O2/c9Kbyy3n4sTYbQWEaeN3pHRz07wuz mVtQNXsAJmWvhKN5s0ictQk+r4fw83IXHt3Xn8v0DyHKYjraowaw8GQgrj1S w2avTMh8GIWsh5fxdnVP1FXacmOtJxcmSvN4TT7dHPvQ/GsHLpppxHeKgXhh WImXy/U5prscF2ZJr7O1kHvvn0FjlxW4+1kf78+GccCZQIwvz+fIBdU4F7AW I1ZoU1GtyWmR9VtofanEl3MCP3QGsDT0vLgdewiXNx6HiUkHsTrMFy5Ogo7q t7HK4R9CbxSIWxMW413mFByJUuLxV5aYX7Icy58U42frJsQ8aJTM7zd8iG7T NKzbOxz3HF6gTX4fFqtIMN44TpTo+DEi5j6uuZjypV252PLFEykt/vhSNJgZ A5bhw+Q4eplOFFfD7GGj6M+zmvawSH2EeXEeXPJvGO9PVxWlWath8+i5yNEe LPXp3pxQOg3ni03Qoc2ZO4ePpazUIVbq9uDaPw0ImKIgyRlyGtFaGjwc/kFU GCTw6IkkbpK6c/XbSZjbchyGA3uJ5+/isTRFnX39zsN4oQOfmxax7pEtt50e RdVhRizso81vR/W4Zl4u01VSENb8GnKfjbm7RQ0OD5RF66T+ePOnN/37PMLn xRNw6ttmlPerEDNizPnRrwHxE6JY2/xdMvViMarTzbjta4noszCZVscrMen0 Cqd1L1MY2/cN1I88xceYW3iyNQ3vFOpQ4zsX/wIXYOirAvFOdzTdDeaIYa0F jHjViAztN0K53ogr9vnQIM+Fi4/swucZE7nTVAEDrAfzfVRHXn21VfLvegY9 xxfz5+bbwvHudoybEM4tE5O5sGEIy78V8YJdK2S7rnQK/zWU1/bchJeRGzud d+AJIx9+XjVKbHppzrkLM+H7LoCu458g03MS7erDKLOjCx9ad6HroWhe/68W tsmybLpqwrUH9QC1t4iLK2bNjWAu+FMvcsRUdFt1HGeSdwlv26+YMLoPq+Mt OCVmLapO2qI9yJrjV95CN5WzKOJBdF04moElgXQ75Mp+9Spc9qYj3rQ4cqt3 b175EsZ1rcOxfUcmjh1I4pTer1BtbIgNB6fBfE0qfsUUYaOU815m2/L7wQJG fT8kduI7Eof7ctSgTTjvN4jzQ76JkjQ7ftoQy0gdM26acgEqYX68tgx8ecOG VSv78lKXfMywUuGnYj1Omt+Hxj7GNMkJ5IaVGfx1w4JZe4NE9ugx3JDelQ36 gXwwtS+3ZuTzQ81EjjKMY87c75A7mcQaFSVum62KxMPu/Oo9EfuXFLOj61Lc 1nTiuXJ5fisayLIrwTzhnMufKQ5sP+1A0wX5UDq8TnTZFsEDsjUiu1N3DFpU gcexsbytsQrqPXOx36AW+4pO4uawYTzrqYJZej2YMDaW8dcs+VEtBot6eHDo dSsW3zak4RctPjVcgornO7DBuRs/6z7HnTXmXDVoEk+Ej2XSFg3Wxhuwb302 S/dasuPpX9h60RjD1knELu0c/opWFjMWfkd27SHcNXsIL7pyeU6mmJ2byTsx azDbKpZVnXS5X8uMn27Ysa4smON8fJkz+xWcFNXJWxQTQryge86T3+2SWbjI nScTNWid8Qgn/tqzl29PMXepD7/c1OX7vf9/pvMUEwaVS9YMiqbpzq/obKUk 3dFHoeKsxpPSrPId/xivdi0Seyp7cUa/4bzQeyz3sC+/L4pnhdRrctemcXRR MH/06k8u7i3UTP8hxMyG865qYsnaSug9ThQRklBs0Tfkuq2T6HLFFGMVTyAr bDLv5nmxxNufrpVd+E7KhCOd2zBF4ouxB8NZkTWKebt/gM874sqxkVR4M5ap Q8Kpv/4/xE8X0N+mRpePU3FlnhurB/Xnkzf+nHNEjV0vRlF5a0/6LFFiqrwr hpy4gIhDDjQcmYS6tA54snAohzwZysfpq1B8oZjavSdRfZA8NSLvoHu59Dc6 5THnw3zIrdHloNXTkNq/G2zVpLPbwYvGkU3itW8Qhykl8uTvTnzyKY+1reqM ifHi46v6rDmqyYdtnVm/RZPKvsuRe0mXStO7c0ZTP5Z/aMTn3oX026eDkz5r xBfj5ZgwLJqPDIJYO9uT2xp60aSkVgy1Sme7KGYX6fw+dbgHnbF2vDuwkA1B +eyW5UTdvNuotrzqVHxAhuWdh7H3poEsaJPD1VQ5Gv2Jwfq23bj5LJvuU/PZ liG4aPIHHHlWzGX1ZUhqsKJtojHmOBVCvnkkb58sRuBxHygfnUi/CxkceFiG s1HA3fH+lEmyQrvfGC6wixMzuw6A6WgJN15aiqA3gVJONWJB+3LRfUcrTj8x h3LEAawN1JAMG5dEdZNGXDs+kGeev8d+MZC1LaUSfpXW5VEZ0sOKGPdcwucW VzCqfgPQ01M6z0lsiZHDUtf5oveVFPb8Hc6QpVm0G2rIh720mDb/JDpmT8et cbtxoMAUGf02Ys+vPC6pW4zPbVFctj2eT0b2ZetjV27LOQb3h0qiT88yZI2Y wKsJ+qIw2J5KNvkcKGuGlwzjlahN+Dy0GFtnJXOiUiXC2hWxdX4kUdqRLV+v ifG/qtE4PlFsLXWWusVc7NgwgC0WNaI55xouxsTiU8QAGE+4D3UvV9yrMmKt hh8/KhYIf4e/wsnJjvffJvFC2iUEffwkHvkGU7bYjb8fv4Dv2BimXXfkiD2T mer0HFdLm+GVKcMNH4P44UQHTp+mQ7uZ9eK7dSqqsgYz52kZnr/2k/Z4d2R5 7cK4r9I+/n5UzLDrwH422WzovQZlVsth9/I83map0nqjJ1P+00LHvtsx93ur CHk3iFoRO/B7uRdlXkbDs+k4VNq+iLGHzFgRsxWuww+J645nMXakA95dnsTu F/Ziw80Ulj10p/Obvvwd3RuZR4rp2KkP47M8WHAwmenJ9lxml8bW1Ml8ctCI 9yq+Q/vVQB42GU+PeDd2S7WUNGwnJz/VoV5WDapVzkNJIRX7nhZghPFVydVI aeLUSmvx3gQOz8Ow9ImOuBc+FVvl/PnV3gSDlFJ47+MkjPAaQY+UFgzpOoiP dmnwwBNfXPZWYu2th7g2h+z9wY4t/X/BpMqZtTP6svnVQBR2mQhHHxlJ7SZj eF1O5VD7h4gzGMbq9F345L8MSQZDeN0/lu7L3Tk5fg36nNfg5a6x1B16EtOW WfC760w09fak2ZpsXlk9iX8GNeCXehBi9n9B75wpInZNFB2iDGmQu0M83LMU pyJ1OaWPPY0vTodvhjddxieyuXgTbOvlGKplwQGxMrx2Npzdp4Qg9ec/RG8c 4PRHNh9ZS/IYrd6N0WOyadY5nENjC+C5FXxcdhcX2kdQqW0Fxve7iGa7/XCe N45a17uy1NadpmHrRU1fc4zylBfVmnH89SOBTdfPYFPeB/HcOFAyXrkjL9hu R+HgrtDtm8uKrYXivZ4nD5fqsPeGYp4PtOaTM8nc/7cMCoMrYLc7kof2rkPe +CIare5I/9QZGPRsHBW1V8NtXZ0o7EEOvBIID21D7GvIRObxErG0VPDLeyv+ ze0ouqvpsMC5E+8s1MOB1TY4YngeetPCOPxOGNt+23JW83lhc8QLIX1y0Wjd GSPmVWLfcjUG3PdghWo0WkMG8lJfeXZJHMuvLutE3uSXkO9qz9MX/uHyibk4 scoZefY9IX/DkvEJkymZbgOFlQ9xUV0NtcsmYLPvVZERXocW0874kyDPLMvh LAss4NTQo5jVugLzaruxcnsFPg/54zTc0J2ODuasXCtEaI4Bn73K5aCNsmwc F4P/f4fu0TNbrlvxXNibdGDhgR6M6z+GjfduO+UG3BWv0vWo2d6TA6TzPz30 Eu5PnSex2Cfl+8XRovu4oUh85MebCMfpKbdFU8p8tBmdw/C57ZLBCpM56eYw PPl8FF3Wx9PBL54LNxphY0sCCy6fwLyT2nxwI4c+p0rgFNAR5usdqXMrirOv G3OUrhPGJDpAaYkTizfr8+KydJ6uN+RK2zCu1tEUmz77iYZNKnw5QJV23hOo OvGC6PdXg8+996JlSU8OXbkZFUcV6H84i6/rMjlupzW/ZZyDhocjf5Xtg6Qk gocju9Px9xtcuRJKq8/Dad/hjfi6/DcWXnTCf8+UcSg7Xhw71Q+x/brydE4K 5wXNg93Pw2JN/RVM+ZbAsdtjGX4vjHKb/PEtPITHZiayRdjimX4M7/IAdtQI ql286rQ4564IXvUbqk7RdGx96nTthiynbbwt5HKsEBrjw4slTZKO1wbRck1P Nt7NZVRZi0hKV+PurYLJE92p3k8Pi8tbYH4oGLIusezlOJEj9HZCSV2X5SkV mHG4CNonVfiqyw60NkSiOnoD7GacwYkqLcqq9mDX3+acVxPGWQeIgxRsMY+h 77gurH0znJXT9eEc+02kJgYzRvsqLALk+HDjGqdf1sZUmnAOxuf3oeLMyiHh IbV4ndCLCtkzxL+wv6JtYSynntCHx6ZTMHvRG12+tDgNVB7G8s26YqNVNHcq ytNHb6fknbYM25QMgKgOXBCbTOdyXXSbLeXG8GqR4zwb4y+MRaOZMXdu7oil /tY0+3IH14Q+y79OxeZEDRH5/Qrem38T//okc7VvI3pvTmSXf2a80daE0lh3 ag425gmVaLp6dOQNHsI/q0JerP4ulnm74xTtaHBxAA0KCthePYCvqsfynUw8 Vk53ZqRsGj8lWHH+CV0ezjmHM19WIaBrT3Z+bMkiGy++dYukxMQeAdHfcXO9 DNdWz4d2hBHb1CpFr84FbLs8kvWP0vHU7RjGfA3HTssBwvXVEWQXeeCGxRY4 Gr3AlZYsJmqWIk4rh/d156AmqE0MuxuMU3ohEpb9EorftyPm4jkE2Bjjg6E9 AzPD6Fs7gfF+CUwcmYqRC7K4s7UdZ88sQ2LEcmTd68Hu8zXQGqbDEwZp/Hwt B71y5NDxVDnSHhQIk2xXXgjSZY+EZB6T7cL6hz/R3K8T9UfYMnNzGAPWZlKt +2FYDNCi1rJfeNg5H4eaTuKN7V/0vr4CG2wm8I+TLMetHCxlJ3VscOrNqXIF 7DC4O+cOieFvZQNmr3mLK7WnMf5Yo9hlb8GzR7Vp0DoMecp3cDfaAK3GV7Hz VgqOzrwFS+X/sOKkA+sie0n2JTeItM65zH+WxM5+j6B/wQf6swppffsTHgXa iksRU+Ah+x0hTc9QkxXH2eODucvCgkdfu3NfhC9/3fOm7snVmLtchgqBE3DF 3Ze3HPuiuHwp8tbaUL5ShQ+n10M8X430DpfREKXKj+MSxZRwb+7s482Fv1Sp 49kMWd9MGnR0RuvqyeztPBNbfm/Blxl7UJNfLlRfSx1ut5G4uX8grrj+wuYf vTAwSoeyWd15uPMIPug0kfKuC+HdYirZO0eBxl91WFWswtedHTG60p5DVPry jGEN3jcn0P7xU8m5uNNocHdBn7EzJCandmOMymVIju/GqW33cTBqF45M0eS9 9aP5Yl8ALSOU+fVxJQ7MM6P+pQyWuQdzkWt3LlQP5ewR2UzBYBZETKSncZVw 8g3lSsdg6uQq8Ur5baRdGcJ5OaGYoNuJ9fKHRcPJWSJhSwTrPuexssUZekMu OhVPicaLz//EjvKt6GH/F7ce52KX0SUMtldBZL/HuLxGyjAvBvN34H4onQD/ VA2g94HZsJ1ry/YGU1yKT+KWN0/tt3ircEnSKG6utaTmhitwcpnAa67WNO8X DS9nMyavP4xPp4dyueMTYRBvS4eX9yXTZ7hyVc1BfPwYwrJmF8q+VqSRNIMW y85B4FxwSvdDIuaKsehz14U+c+K5t/sVqY+tw6b5t/BsuyKXpi7GkBFzkG/z C498s9jnu4FwTnyLOaoN+OeSRkPj/qzaIeGRyRW4HZ0l9B4rM2ThVjysDeP2 3zZ4NKtZHD6ULi6+seHwv14s136JpHW9uGHdPuQ7PEG2d3+evPAGr8J1UNs5 z2lSkTUTvabAXfes+JZeQC/TKB68EMOQ/N7sE75M0n1adxFeEMnX06JZfvQ2 ero8kpx5EM9vSdbUVPRj9I8sPH7ekSdc3THQZRIXN/lx1ozRjNm9UpI0KoJa yg2QX2PG3L8qdKhpgOpUb5REKLKbgyVNRuejWN6aw6rXiTBHR/rPnou7kpHc uMOZM3rtwt3Pdeh5+jCal0ayb+1R7L4RhLaCcbTImg/3DUPp8zgTf39cwmrb GrF/npkwSN4Pm266/CH3U6Tf+ySq4uUwU34Qb1RMwjTDQ2g9NBSOw+sRWFNM l2hZuk6zRcmVQEbGbUOTehhtRyY77rw7ijYXPdkakQaF8q4sGnBR/DI35z/r mei7qgFzdmXxSc9h7DKtAF1Vw3D+30cha+vCB8nKGHFFnteH/hD/bRGcP65G zJ5uSnXpfXb1S+UvjVjOG2nOXK2too9kn3g9S4aZidMQWXBFhFvp0kalDx2i Y/j9oiVm9Q5Am0UJtAcOQKZ7BCs1z+KYhyVL1OPZHvZHrA3YhbqL5eLwrgQx U30BrtYsQ1N4rejcealk7EgtDh/8GpYOHgi715P+t4cyd2C7aA/agaLcEazR tuSLula0NMSj8uN8yN+J4HgFO7pZHMF0kzuiq388V2pMZk+pT1yQ04dBiAfv L1Fjlbwdt4S5SgY1Z3JFfQ1eaJrz/SkPTtgpx/O1CTw46CgyZJbAe5ovnRPn 4/D+SqgvnoVMKU+tX9CV+87ulPSyCeW2mOPotOYARpxz5OhPClx4VY5lxQdQ qLNbcukn6DuxG49dEqjw92H+fn2ujsjhcYM4KCbdF453LNhpwg8M+6LED34V YmT4Ickhh2TeGNQqEjJDEFAxCDmlq1Cu+Ag/UqoQt/g1qj968IY4AYV105Bx SJ4JXjbs3CGWrztMFdpfI9jj3SbcivZilGYXPg/1Zh+VTLH1uTZk+vlwwqyP YqF5Ok/+UmFNYJG4LrMcChPPodcvS+Zo1WOZcSz/he6FmsxovFr/AX0t/dhc Kz3XNZZMv7UVvpWfYDIknL/abmLiBLDX2rmwy4wlr6YxM/kdmgaPpX6uLocO 2YSMb/+gm2gnZVhHerWncUU3a8rP9ObwD+nCamgJfroOZPmhdL4JGMbnC9T5 PNueziFGCD43C67fBcuLZsF7ezE3zulEnT1mmJDvhUcdPWgrd168SevPvlrD qSi9j9HXXfnEbQduK57FpS7v8KpEk/p7jJg2tBkfR6tgiJkWzeZL4DfmJv7N VOWMcXJ4+tmYtg6pGFafzfl6PXmuYSi9OkXxiDQPp5VkclC+AvzaTcX8m725 RvuKuKluSY8xfiwIDOcX43qxokWHx8bn87i8lF/r4p3mxQRwXJwXE/QiGJpx Ee7nLURYfCd+cLiAV9sqcCFCC5cdxzHiiQumtb3G+aJ6+OebofKNBc9ku+P8 PjtW16zEh6rJtDX34uhjEbBvu48/9jbUfTKZM+fdw4FrxZzdO5CbrBI556oS G99E8FEXeVy37cSNp/J5YW4AF/5Vwa2JffjmxGTxTPm9qJWz5p3kajTL96ea Uk9xYt5kOu9IoolKAl7WqLHn4yzkWfyU2B9/B8XUueLHYRn+MvGivLsNgwv7 O3XUUOeBwc5UfNSF1bNXI7C9Gu1Fcng/Mx3uLXlUeHgOhY7rcazHN/HZ4jQM u1+VdDqhwdrv96Cw3ZlF1kPhvmUrti3+ioSwFnxRvYJR1hl8VBbERf0SoZaT z8slo9EW8Bxve/bkXrFQYmpjwV/e4xE6yJwxp3o6vFDyZ9amyfRZH06f/LVQ ke/KUZFp3KJ7H3sKQW3NEpz9FcmCCm8eupgKkenL4BszMNjlHpYdl8eom0Y8 NiaJxV/foCi8Bs8eK2Pijf7YEP4BXy4/xtVB0/BuQAx7HtyEAsNY/t7dhwp/ xkNj7kE4PtMXD7v14qhnQ4Tj/9/51zTiAyst/sgeRpsiE2irHoFPnD1X5fUT a3Ske7E1gTPH9mBY3gn03+xKoX4ak39/hv5hI3Za4UbHYR25b8ghMasply5P 85GgtQYaGu8g5/EdRkc0YfO7N3XLCnheW5bXX72UrOu/Byt85+BdmjG7jfPj plGx3FcbCStp7r0PsGNTazbCOsTQf+ILEf91Mld7mjCvYRI7BFgwvmIaLrl1 pksPgayjWYzIVOJj7XBqN2ayrUsH6ssXMj9PDZeDs+lzqw6h4bJYvsGXK3V2 4GuSOuQc0liSNpLfennxqMxInrLLZ9qJCE7c+h5tf5Vp7zAaN9y1+L7ys+jm rUEfmddIqJHH2aR14s38CfhmbcetX92podOPPcMvY+X4Ar7+FyGmftCkm5cV Ne6a8esCG44NSuWGn3OdBlXexrDHKfRRNqVdxV2o3GsUUDiM9c2jee5XMBs0 VDgtcQGGP/FkjVk3dtLK5qSV/6HlhbQWibuE22hVThv0GT/vjOZLdxcq6upx o9S7489exO+gDF5wN+Cpb9uc/lvfGzXVpcJT2PPY2ELJ7rBiTB3hyeQVWbi7 x4TuB+/DIcMW+0xTOW+gJfsKBR71uYrVJiOd2gKy2OvLBnSb4s3tg/uyQ99U rjyzxTHCToUHFNYi++pYYmEWr6uPZMipIvYLcqCqUgJvfNsrQpd0ZI/qw2Ke dTd66i8SIuU59n7tzC0dhiK4oi9TR6RKPb0XPWZN4p72MHouPY3jt2J5edda 7D8wgoOuOTBsRSeK91uxf+0gYWFniDOhrswakMKdZ9TZaPQaR9NGUC+uOx7d foivyeewtdkCXTWlzhFNZvezwIDUcfzvV7jo/dCB5dFlqHsUxO9T7JAvmYVl 3xV5NaIcqg/3CN0ydX7RXAWjnGp4mPwTmx9V4ebI/nyn0u7k4HwW2+Z3YtKl AknUBiuqnLQghxng5aSO7PnSmDMdF+HBpj688m4l7iZHM82xG0e9nMAt9hdR tWqqeLt/Msc1DOK9HfuQYH4cq1fa8+HDZajb9g82K74LP1t3eu8aA0WvHux4 P59eGlnC+/EeZO/aiitOzjxf58lJG2zErMGRTC/SZhfdddjQVYltv3VYwFzx 5Ml7dHs0kkpGVTjwYSkWixnovsqHBrO60Sr6L77JDKFKfqGYk9cB6UrJfKvQ kyU6Y9B2MAkxAeGMaXYSS1brs1l7ARbce4xeifa8pVjAzQdUeSxGh0vzcnAi YhWqpWxUfXsusvZ1wBArCSI/dKXugq3o6uZAefVO1IyM4XFzN+7NysK5j9Ng 0RrLVxq2eLLyITYftmCMXw7zVmZy6N3bCJS1R9KPUVwYcQlrYvPZYaoTP1zy hIvRRDQHhLHn1Ch+ilflvOonqByQg2Pxc0R+/0TKzk1l1y3/CevBLmxOfIwl UV2psqgQdStCRLpOHIcfdOObPp3R77Qdb56pQQUHs8cpVyq/HsK1l8NY6jqY n6YZYMO6GBb1tKVh02vRcvYxHp6dJnQ1etI6K4ZPwo+jV30n+v805/7gaL4o HcFZxqrU36pA00863DN8DE+9KsT3Yje+PL5WvJ7kwIXnA/G76CwCHrnz0z43 /skKRuoBf05ZFMcR1krQ3P0NmqvV2HGBIfW7LUbxj/+gt/IHunaU4cun3fB9 dThv3S/DuIGGLK8GZ3ZNhlz+SKCsmL1PRNNIoQdtPkRy664XKMs5I9Z+V6Xc hn4sbDiBl99/wWJtLdIOxnF/fhgffd0i1qrEcs+u3mzXNcKPigXQHduOKOel +LhLjd/VRvDIsAK++DaWNfUDGJq4Cx429TgpJ+/kNVaNd9JrYLd+MGMyh0vE 9ni+2TOUupP74/zfEph+DeS+nnKUXewhad+gyMZ1gfCt1uazjjHc1/AHwxdu xyy9l+jT+YxQnKbFe8+le2avDM9JXWX2slpxsFcwJh/eA+d6Z/YbP5DOUXdE 5clQ5nbPxILarswM7SjQtZskffNN9Hl/BGLwZmFp3p9nbh7DiVAbVsyW8mXG E+SXNuBuhDtfrsrk/bOXnC7o+tJCq5i7FTZiyu0ONE+VpX9DZ3y4k82uoR4c t8aZEVdk+G3qLlSaKPCOrDZPl0WyU74at4Tsg+qeAvL6W9FjRRxt3IypP2Eo nyoMZIlDMGoy4qi2w5erikdy0Z3daN+nwjHirDhnrEv5afE8uaQv6/1Oiqc+ ZzB24wAmvhlG82MP4dX2Ez6ftLC//J3YnhXOG/0eIW39Akz4b7S4rzSGLTdP 45iOHzsEy/NavR78Fk8VbYXt0NPQ4OaGJPpKd+PbaHPRT/cDfh8bwm+vFomp StNFwgg/PPocSe237uwxcCQNC6fBf8toDo02pt7DNFryOBZNngP5GhnGPrTh hZ26jI7qy8RHeTT5zxO2Zj4shNSRjl2R+HVwZWR4JWTy3Lnq5TvMkDLkJh8r TurmgUs+OagK/YFXPaLFgMUKNDEglyyS9kOoNj4fkcVo4x7cM9UTpUl/nAz6 OnLNqm78aL8GFQ7DGeZaiCftyUy5/0Ss+XoF4/eqMWDXFux6vB8xn3zo8KoW 8sX6ol1BQi5eJLzexkGtvx19N0Rz5v0buLfAk8X+6jy8SI0bjm/CMT+pY+8Y yawVOTw8MohZo/eIRCkb1NV24cZxoRhtlMzwNV54cEiZYaGOlD+zD252z/Gq 5zjpHruFqs4fkXnSlCP2mzEtIhfXDxQx/tY0bEzvwtf9LPn3viGKdFbj+YkZ +Pfeif2driGyIoP2gWP56a0HB8tMxOTiQnY90gu1CgPoPj+OhusHMs5gACOX KjLvfT2m6z8XatW7UN5yGy4lh6B0wYa58f24Wi8BHWd1gKubKxNmVOH44Av4 +jGW51f1Y2q2Lk81qguToQvgsPk/HHHMEpHrL6Hx+j5JieddycOaFC7wdaR9 UCwXT7Xi34rp2NpDEy39zkFzwH2MXxbE6d3KRNyYGHyFMZf/uYtOH25j8bkI KOw3oK2bLtpr5HnhqBZ3mJOjNzU47fgxBRZSPvKZnMIb6zzFrlub0N8sj+oi AvoKI5nooc8N9Rk89CtQnFiTxriN4JqUD2K3Rh4zBvtyeWIYVXOGcbSMM/r2 kePAL6r88CEat8fPQ8u6WiEbfwbdqlVQY7kMybPrRNN/lvx4eik8Tt5DhZEb qKHLUUq57L1ZnYorpiBvfDuC19YhoeQcVn/YI24nf0Tug2+w1g/iz03efKg8 gvHTzwpRa8/ZMnFsuGYnkn1kqT5/FK2+NyHf5bW4c2K36P/HlYfEdWSHxbFc ZQXqjAJ4OzqbEb1uipc362AdHMoHhhqsXHYb/R0/YtWiTdj0aY1kQn9d7t9x DPqammxK0GeCgjUOKkvY9OWlKN6nQCu7NKyJ0+Oj3dfQydKD6bsqMOqxGd8G juB942AW2ERwlaUp43MVmNAwgftMbHhZXVFItNOp5/4Ubj86UnuhD49ojODK dWEYMf4q/GOsaaUTydiYWfjX4xnk1v8Spw4l8OUKW45fGMktK8YxOiac+c+H UO3nYlhK3WLagkiGdVgsJvzqw5Q9Z8V//6aKCRnGGOhvyDxrB15znEwLKXvl quyG6/s0pC9ORYVyEO/MsZJMNFgv5lwJ5uGY91iY6MlzWsNoWUwU3XGj1scJ nLpnPCe7luLOyi8Iafspdm8PYnftFM5ZswqRh85j1BRnqvXuw5FNc9GQGouh M98jqaReDGtdgaMnwllyeoPY2G85Bqjo8XXAWAwZ+0aMy/THvn0T6fbXhN+l jm0tE4l95uPxuTSdPxPiOEDLmhN2NQm784P5L7EaQVtixV//X+jamEaLBsEr vWowrRGYG1WNoeqHMGqLPQaOuQtjPWOn0zNdnbytdKHZmITVv9LYdsidX0rU xNdkZW6VZt/BgErR2uIt6t4INsKJhnqnhPeyavw3LwSvcjRY19We8tu/IslY 0+HLjQyaWBmw47kAHNzUA77nkvj3pyJ1jhjg4gMlTuu+Fd8zQ7FcmiXxY7ux z5kH4sb7V5jeNx0tzuCR20fFzu7NInONG6/PqEBdxB6c9E4A3B8ib68T5ysm 0e9bb2Z9jcNp+/Hs+qA3tUrnYupnZ26z6cqYdd606rEertayfHzZkUc1Cuk6 ugwVo/aj19KteJp8UEz/Ys2TlV+hd+aBk/+zniz1N2LE/HSeuubJSslCybih OfjaoEUNLQVu8tTFrKcPRb7lO7w5PAPbT6WwcMtebIwJRcbL+3hwLw/GG2Sw rLREUt1eAQufndLsiWLlqUh0dFYRbw5cx8yfL7FzeAsO71mLP8qG8CqLwqJR HixyHo/gawH88+0z7t+w59AlAQh/sxqTun0U0a5BGDB6G8KiPsLeJx9Rsb60 M+1Oy0OTMOxuLT6HWrFzp3mi8mdXTumezFgzFTquyuO+v5X4r1sVuvxqFidO DKfnaiUGq9rTvpcpSj924+Qz2qw+cBa/Wr9Ay204r59eBO/opTALeonwGn06 FMSwxjWZelGvkTJvJaZbOYrTC+X4Y9FI/jszDcvGOjFhVB7nmdkh57EHf8p2 4O4Wbfb33ok4m+s4t7DC6a9DPoMP12CPXCKD9E/CZZ8NMr5Lmf6lC8v0TiKw dDO6GzRhbk4ATc4G8GXmAbxw+odvjjJiypQxcJyxFFEBndBmJejdPAbJWYtx NEJwh5OM6JRUjU7KHvReYMoQpweYylheWWJEo5pBXIElQtEhWHJ/fzIOzp4k pmxU44K+x/CnsBG95FaIw/KjkDTpKrYsK4Lymk68bWLGJSNyaDQ5j/nPTJm5 wYCHTBXYuF+G2xS7c2qv23hreBt/wr3Re4AcdSLnImS1MfIe+7GtMpfHHxSy 5dsstC1NF+vXaHHnpt3QOaTF6gX++F0v5dPtEzll2E+0Gr7Dg1ex9PSRo//k A3hzbx3ObPRlzYrenPw3hX8n5rJ7sRFc/36XdCqVsG/YTtQ+ewLXF/mS+add ULlaDUdbpZ7lNQs6Ufcx61sAnzYVY/rSIub8GoZz7d3om2kPpZuDRVvMPew0 BGGsw15nynDbJIg+B2P4acZ0zNJpxvfOASwR+XzguV6sbAhkQVI4z3Z6JlKy NXlL10HIeyZha+B5fJ0yhNo2DRjw6JEwCTmNVa8jGFrtzeh3plBXKuKwfCN+ X7ocmro7sG3iJvw5WUhj3Rsix3295JFvB1b+SGHqCxeUpHvRscMIXghIodUb Y8mMLG0GZU4i5EIR3duTqcsTeHTZaHp80eaAh4HsECZ1mv0SaqmvF0fv+/PZ qP60at+OLkufoW7ASdyd3pvu1v58MTOQ25t6cVVeKPU1Mvj79mAeU8/mBqtU cdDRmGuspFn6cCYeT/RHzoaNomD5T3F+/y3U/DuPJQGF7BNxHp+7daPW6RB2 lNZxw8UbSHxnjFE2nbnPuhB3lIfAu7QFx9dMoPL6q2hOHcozJn9Er5WONHS+ jGAlR954qc51n0ZBfuZHNEx15yyPGeLq9mXQ++nE/e9KRMOfpWic/f/51KJb oDUmHcmDt8pS3PfbgAxDd675dww3m5NRdDSEmHMfGgpK4nynTlQ5P0ticOCO o6xJFdZ5zMfPV+n8ujWXB7uNZLznEgwbaceG1t1Yj3rklYTSWOpoX9IVufFl GA94qLAu7P/7SZc1L8EvZik0NR2Iv1nzxMfrUk5U0uH51M/C691xlAW4cP1U af9U7RbTlRpxpvQa5uqYsn/XFCrOz6aM3xMRZPwSz1b35UYRz3NBjxF4V5On v/dnSGWpmH9hCFd6FNM0fYl4Je/C9463UbGoBY5bohA265nk+BAPJhzejrL4 VN4/mcVqW38GHzNjyuBqsS7+M0w3q3HmtFx2e5ZBtbJhlCh25acpjnT6ls2Y g+D41X/F1sQrsD84nsO9ZOB79gTSP3RF5ylbkFR+E1XX89nb0ZDq93LYPHaK U3fzJlx8VMgfIcksXKvInScUMNaoDQX3dTh7pglUz7jAutWBCvbK/DPbjNIT g65CHhNXfMGQ47I8PnQsdWZcE88nfcZ5mzRGaPljjfNRDM79hG/XJ8C+7BYe GK/ACw1LDkr+g9Gr3Kn7RAXm6oWsuHsMZ/6TpU/NbKH42p1jin7jWcg7FL4Y xr2rxjGqizs35g1lRp4lv29vxomBfRi0ZyDXnpblXucMjsy/KQ4cc+SvW3Z8 8XUc+69c66D9Gbgz0ojR5wbx+ZbF4v3iaNYVu2Db8HtQnb8CF/2fYs7QUM7a 5k77uulAbCuc/CxgfmIYgka/RdUVBY4e3x8Xkj/A+eYTqMpKM7VnFvJyI6iS ZMbhVaq8pl3IksVx9Cy9J7lspMrFv29h8xBZPlBQ5NvRFWKI6V8MONksUv02 O3Z+b8fKwdLdUKPJyU/DqXfbjK/k7sAw8TEqTquyrnshTtsOZ4KSDXdrlmK0 khLdK6Q7ykkFdjbX8GbdBF5fGspqo0+waIzD188KPPn6P9SMDeHUUE1+jpoI mwM1aNwwhrpV6XydrczSm6/wusMq7JE6+ez4O3jr/1Nke+uyYM1J8eBdHJ6u UqTnfTfavx9J//j7YvRjN64asgUz9gBOB89Kps8By+49xdN5Y7HwoQv7DVkh RlUNp89sW1olq/LYYh9IdrRijtM73M+Ygh15f1EX7sO8NR2RVCq41+4K9t7I 5hZ1T06K8xXni93p1G7H+tgjGOZ5GRPC06lj+QsZTaZEtQxvBFjS00nCovIW zNsci89Ps2HX6Mfbxy/i5tFruFcn5bsRo2j/vBtD6n9I0hePZ5d7rvx9MwQj tq5GxspGfH4XzWWzHkBxhwLynQt5FnEcUWfG681PxNsRXYm5Gpy0zU2ybJQB b36JotMsHwTBlDcfV4rtMrJcqDALyyZn8kzv66jvFczUc3rU8EvDqM292Ut2 M3xNNkMy9x8WlPpQXExgzfhLEsVBCixckMaa8lSmHV0HRS1dXhu0GtNm66Hg 9jg2PGuAeqotz/r3oK1MOsw/FFH24W/EDt4hqnpqM1NjtJhdZwvPp8m0y94o Ugw3iLN9Y5jt1IE/Z8nhhk0EMrNuwSZjIda6GbKhnwZVDrtQrT4KD8q3YOix Pnx12pxFqbKSu3HjcdnZhgHVueg+9pDoWK7Bzo03JUErz2Kn8kDIytQJ78t9 MOm5JRXETki2znYyH/pc/O30Q8wN9mVWb00Wps3GNFNXjvivAT0GDqTL5ViO VXgAJWlPPtkRT4/ga4gI+w6ZHKkvJXZjVcUlvO6ShsGR3Vl62pt7H4dxmpeO 2Pglj9/yraHiJPWPdyZ8szuc9+4ZU/fbGXQ0TKfZy170LZmGnikB+FegxqbS o1jW4sQ6e0POrJqPc/2X4XmlKts0MjmoUpHHOiZxvuckWl+MZ03ZeBbMc6bG Cnlor6+F9Vs/6mfosk+PQMm8YDnm7xnLxsan+NHxP0zrYc+9IVbEoiH06xDC ktTlqEpNommP7tycOFGo9HKh+Uey+PoyLPm+BbmJK/DftSo8fXBXEjQgi6df adL73gkYpntz8LTJLJ9uzUGT+/P4Zn+2qSiwNN1AFLrdwus8FUmTVSSHZy/A +2MKbJ1/Gsd7pVOlyoB9YzKp6WYpzK6rg2tPoV5pkGiy7MsOk5L44JoiPK+/ w/vDk6E3YTrcZhuiz4hIFum6UVllKGquuCEi+D50x8hQb+9iSVCG4K27Kozq 24AXqwZzZXEwldUm8lJ9EybJDMHDgIPIPamEIxtl+EHOnF6rr6FgQgdmaU5k 8PEifF0exnsbv0h+LDEV0XtO4fTsfqLp+UBqrTdgZv1nyYmESlyyG0bjOAnm POjP06cymVs/Rdx/+hxBN8/i8O4GvK9uFsf1VTHwmgp/Hp4vSlxnw1Fltugy vV6cKp1AjcpwdimcC83jRezTpxRONzR43dWXT7so8khSJ3ZwcGXW/zg473gu 3/+LS8qoRAhRdhnJJryvc8jeK6NIJSSylRkNaWrvvbSntGhp72jPT0VDOw3a /d7f3//3+3Ff93W/zjnP83hfj9s4Ayu0mrGi0IuDTlbD4GgCLXb2o+zIkVJf 2A5zJ0umHO3DW2stOFO2IwdH9eeZJjWqFxwROw2vo9sUS95cNRY/1kxCZt5w +iar8dv+ZL7QluEk5UwxfJIPe/mcgcJcC1YG6Ii14r4kP2+gSDtXiz2W27H8 kjsHKO0UAycXsb9aLM3cRjHwnJX4eeIPwrSG8JrSX0w3SOXi+VZUCkjl3xO9 ecjZk6uc/yFor4JIsCjgzSc5HL/AlEZGpnx9VNr5TgzmgX5rkdyngFdav6On yS3oj/ajVfej+PgtnhY23XhEIZJDteSZE1EuWdzkQYcwa7pVeVHiEMbIRT6c 9NWFka0fxObM0TSaoMEuTu/Qd7ImYnZ48sWzXiyb1SyMqlWE68cuYt83U2Ff /hu/zlhx6cF/4mdKb+48acRFPmrw2dBTjFrhy1kPBwjF0s+i7Va5KBtfjIsn F6BYowuint+BRL0/p6xOQ+V0Z8buC8R2V2cWvLoJa0t37i3aBIWU9ZgTNpId gj/h9rcmrBxVSqe7W5A7qjsGHVQX/1rzaLIxhSPfRCDzz33cr+pCn3vfkWvi zacRHrR/vlk4VWhwdUYgp9e50U53sGThHxUknw9ij67fMbl/IP89GM7744bi i9c66GkcEWWyMTzQWUIrmadomdUB+ttKOC/kM8SSIp6UrnNYqycTC/Mok58n Js9/Bt+nV8XRL/HcNMiN6e+DaBC4BNub5Xm5PI7PhyRytkcnJq/vQC0LeTZ+ 8WbfKXeh4RPGrqdU8dU9h57rQ3jta1/u8XNmVONdybZ4AyYdT6R8WilU04K5 uX6pSAk/g2nK3lz4tDuVm6eJZZtk+LLsHIYNqhAmMeX4Od2Wt621MVjKyEoT l2JPhAatrUN4Zlgn2i09gScndTh15n1MkEzgKi8jej/4gTDHQLZ9uofSCwfE BzsbFh7ozKovF6DyQcKgYc+ww30Qe8uMYUZjXzGvryULa76Le9/bcb/PKJ78 cQUNdfnclOZAh+TXWJk3QLhUOHPHrFY8kZkizrVMxc/IWMp5lHGr9wgOudQq 1hr6cFjFRbGqwYwtb1xgZTKci3MOoffRZP5VfCvG9d6EXXo5TD02HCHfRnNz +2b4r52PHd6daFG7A+sGzoWc5gWkd38r8f/SDs3wGPaevBWa68HhGSO4160b l5sr0muCAS2riaM/A7h0+Cgu1FaCX3Emd/6K4IvtsZynMwJ9FfIRd8+eMd3e YLGWPZrGWdDruxb19fvwkNwvETFQB9vDXqGP/mKhMFHAbO13iZFFZ67JvYJR YaM45WwJu1S8RpWMBJqN3jhb34Pf383BtmHl4sp4cz7ZMYRdpH3RdN0h0fJf MsbN+Ihi6awuylGhqUIehz6O4rc1+2Gz+zg8yh14erE8d0V6M26bIytP7xWa Ogo8NOswDszQYx/veuj0uI+HvQJQ1GMIP1llY/vWB7g6ogGHz/WSdj9NZu9v RfnHtSLe0JUh/qbs53AGIU+rYHfvDnbctOGnXfqsaTGnxGeS2O0+gj/vS9jy oB8n7nNmWHwJM1pM4SNfJ7qqBNBqdlcm7g+lU5acqMiTevGlPJoOVqKC8k5c itfiiHGuTG1cCEXjwXDv5EHrCnW2x1/Ez9RkDL25Ags714s2pTBaZGuyMPY7 FPOmQuNhf8rsTERHw8Xi+x9HaJ1eI7HbLcsRUvbJP9ML43cN4JpgV3ond+fT M9ZMeWQD0duQd6Ieiyl35Zgi/xoRwWP40+0jXOMaxePrJxARnsbqC2FY8dKA dw9uQeDcdZLuJYa8a9gPc5RTGbl6HGVvGPCeYhBrcnxpwhhnzxedeHfmJBHR S6oDX3deml7ClQo9mDOolGveHMK7sflc8NyIs3cY8LzqWkTsFwzVSOZxjzAu 9fnfmfab6BhkxPI0bR7TtKF6r9G8YzYfCWZzEPpYwstPfOj4w5/bbwQy3smY P46N4yzfYio3ZcHn83MsGFktDG5PQ4ylM/tqufFeeCAn7tbm7+PDmL6mXPLv dA563p6HLreTuNNyNHt26s8i/xKu2OnF/dp92P1eDs8n6iPZvxRbh2lhUs5k LLvlxfMu/ZBwWJ4WTw/CqssD2NxMQtJMX6h+mQWHrCYo66vR66cjF9+JYOe5 OaweOpyp4XoiTkWPaTUd2BB8Q4SZzILHYm8WH3cG89Q4+MIIKTMZ8nP9VZw0 KsX7O5exqzEdU7p15EHN07Bcfw5KjhmczzjeME7igdwcprXdwedEH8iFr8CJ l7thvusrBm55KJHL9EZ7J2tJrlUGn30OZIbHAtR0cOLa7540KAzn9RGe4slL L8q/t2DR/WoxyWk5/tr6cNw4DSi+knqahjt3lTizJdiLP4MeuiqVfMcMr0iR /WU7tMalMHVOVzZ1zMCSiCweQG+cvDJdDC7yRLtqBKf8GQvvMCXoF+zGXs+v Yu8uTdbMH89B2y4i4MYsTNTeKh4dvQQR2VfIdf+EhrSvuPu9CZVX9DEwtCsn uaxEW7A/G2LDyM7zoP3HludO30FN8H6x1WENOlwOYuVle+5IfoHwPvWS5u49 2PPXF0Ro9+fw0IVw3RHP9uJUXj4Wi9Aju1Gbsg2yJy+J1Rt603DPX8xYpsCL etuxLHE/zOIUoNLYkfvmDuKlkVFcmjAYazZrUmOSJ+9uMaBJ+GQ07iqgpOgz HH2ahK/1XcnH73IirmEJPFNn4+boHAZZGLNJ4yDMl8yD01sT+kWWcNa437jW fxzTThdBW+klGtbcEidnzEfw/k6MmUsOeDkBkrYTcMqYjW1lPYXpeV26djRm S3UXXo6XpfPCfnyxYDg+jSvl+f8c+MyxI4c8lbJofx3mOCYxt3U4s1+GsXFP DLbEaDMjRR4He0zDLQUrrtUA3/0+jNtXCpl+9RF+nDYUbTFzUD9rHWb13yzm PTLg5ZBCSPo+w4hLmjROy2D6j4OofWKCVk8zWt7YJmylWlm45gsuWKnSc54V Zz7oghHPSxh801KSNFdTdAj147Cvv5GwcgJ1oodSbmc3NtUO4jG3jlxdZcVC R1t4Xu1N8+u+7KFcRmXHQtbpqCHQ6DfqigPpVa3LrzmHsTJfHqbbb4myaD02 2Mow3jmQ279n8IpxP6a2STlAVpsHo6WdvDBdcMJ0cb/kGW6E+PNa3jdQmnXL IxSoktOOL2lefDTIm+lTJcw6PBjL9DQZknkdV3724H9Ov4S20lGs2VOJz0pF vF5bTNVPSoR0ZrLvJUn5VIMP9aIxcIYLp/ztx45zAnj1dDF0Y6qhrp3FPRdT sHVxB9xtUELtuuNCQh1uWenE1fr7sHNgJNv6ePI/482i6+UsdlpgzbMlG6B9 3FnkHkgVd7KtpF3mGxxefhIvzynRcosZD5sexR11E5p01adKxUNcj0njefWH 4lHTGOxzNcN0aQ676ehihoURvdq+oq16Iebe1eG2+Tdx/sYEfJ+gAdmjzVAd uQdmyorce3s85XXTKSJG8952Gebe6g/bdb1gJ6slwoqmYKGQPsd3U4majQam Pzfm4tf50NmYR7mCKTg/VIVmKoZU+wCOmGcszhw0p+yRF3CMy2J7XAlPPs8U hpfsWLPiHzLH3MaIiBxa9XURz/aU8fiuQBZVSzlxajDvr5kGs6ST2PVFmQ+N NHj77gDqtp1G53IlOkQP48IvkbA0K0DPrOvCuaccs11SufvfXdyom4zxBhZ8 HhJL+cOKTAocwOA2Ex7RqZdM+FuEKa9d+HTQKH6X6th5TRqjak5jrnUcz+6q RfmG32LUcH022HtQbmgfNil4ssRBhv9+h1B1lynXnpwLB/9cZizyp2ynpdgw MJkZurE8MGshzKpb4HBVgceWLRKBC36Iyk2PhN7K3YgNPgArs2wuOp1Dl+Hj aaxvhfWWg6F26hdutEm96l4hTJ+2iB5Lnot9Z4fRI2W0pOxlECV9+0j5QFYk lX3FoO6WdO48SRx2dMP+NR5Yby3NgF7PoDV8lYg0ckNtowUb50xDgeI/DFvu xoInQ3BxXxbtl0fT0nOemJeSSN14TXZu1haHBjnz94t3uDTnM54HrsXt4hXi voIRre47sPJFNr+fcGSIXxr/bnLkG600iOOvRMXCJLalpjLjkB2V4pbgTWYV DCx8mRZny2Or5uFnlj+b1tnzcGINpr5fi/+uxXKnbAaOlz6QXOr7FGHbdbg+ uwnf5JXw+noCX/gpodfPeEYPKOVfl71omp1DUQnu+hPCb84dqH++kKPjwmj1 2pQu9x3FxPLbGD3HkfIhCjTp1IZPw4dx1rdfMC6ejpUDrdnQZMGX83N4w8WQ M0MTWf6ujDXdPah7twxl14rYKem9OLNJD/vVn2C10R00L1ZjxyA3rl+ixhkJ GlxbYstnd9WZu+INLL48Qd+Jr8Wp2EpUfPbn6O9rUJTeBcjUorz9cbGiNoBr XxxAxbDVqM3bjzdrx9Ft5XhOhiM1ryyDTUU9kirkGGyixx9ZBmwv6svq2F/o cXUIzzcEssTLlaUjM5mqulxU3X6PKl/wotSrK6cO4fp1+8Sr/eUwVVuLMN1h MLcYS9Pe6uj7RoG/7r4Qs/OUeKlzJNUrR9B+/yrEBezF0qZVOGOVTb9kZTY+ DWfJp3Qqz/akTv5t0fI2hLGX01n3fAydvSGM4iS0KY6hWZENja8Vcubbi+Lg eRP+7P1JWORuE/tuKvDE/SC2rlWg430j2oV9QXLDN4lP3SXs7T9eImnxpcrM LAZrXkL35E68uCmDxtUfMP2am2j8pU+7wRp8POICDFP9Mfdou1THFZjU1JOt I6twvk2bm0/VINdCm7/0bsJk7gxEfj4Hw+fBrLtlx/PhN3FAMYtLy5xxzNmM o8uOoMitP/+ExfJ5gTMvHzojGe/oww2yUayUjITikXtwObEQGbV6PNZgyw67 S9hee17IBfkwt7gLv7Zew58sL/o3b8TzpcOppXoYJj6dUT7AmMW53cSvsUtQ 7K5PrQ8duNHZlCPLvbmhx1Sx7fUuid20x9CY8hxvuznTpXEMSjRN6JpyFmnv BmBwzWY8efYXreMe4/WOz+gzO5vdFgj2d/LgmWxbjFPsiKKs47DrZIqA5iyh f30ADTcrsHfdSayZMYYxD97COUqLquUjWVf/GnErR/NBgTJ7ntdmSsedyFtj zD5nMjE4fCcc/Q7jTl4hp0caslHWS7hWfsAYu4lYV2WAIzfOoL7sl1iXeAsL T91E9JdCtn88i9pRBvyVvQdXziRQT/u269agpSh3TqPJ5+70lcSLF+ui4ZEW yH6m6ig/K91jzWJG6nXgcrd8uj5/i4KvuezVXIG9t+KgukqWsc+6MKfQAe4/ xpDnfiH3jwqNi8ezxfwITHQG0tJAnzMvXBVz+ipj709jnjv/R5pzBghJHMqb P/pRpssYKvyN5QejSJpOvgEz/QH88zUD3/fNx4cCPXafrs+t30OxyzgT+dEN wvbyIhFVaMm53n2ZNkOdu0uX4UuAGm9r6oi1+3siO7AvV/sYcpeBKyf17cCd T3ZD3mU/7s8vkK6jSUQ7joBrbh8aaMvgq2u12HTovXh5YTCnfRvDjRM0GS0b y8UdFuG0aogwz9yHNPsPeBf5FS3uIcxuy+Svq2vg8SmcSV9SUaVuwA9rs7h6 rQXlEc4bv9w51DWD1YZzofbtFWbWaPJo0BwRHZ/Idd5ObGrJYGVVPu9PEWzQ cOXsPfJMbV6OY93zeOZAPVzupVIm7bRIM3Rm04PJKEokL9h1o/97ZTYYbMPD awGsnlsiejacgF+/+/BemckOxikYn1LMbKf/sC08gotGGOPg3e9Y2vElbu3a CNUNXfFXSZdn9gzmWcWj2Fq5DYWG2byoaMir3dXQTyuClfsyGDXDg7fmF2Gj ryLTLM2pcGw99AbchnKd1JtRKnoFWlD/qCnqDBy44F0vPmq0pNaNRqwb/Q5K 5ilcsMidxmYJ/K+2Eb0NVuFWiC2bB21BmJ4NR81/iFgYSCGxmBUxpbyru8PF 0V6NnaPqsev6TKxuy+Dpzz+g5h/JuKM2rGnI5oFzWrQU+uLirATWdJaFZ6UC X0h5m2tzWJewRpT6SdnC8Lr4sG0KFmX1p9+oVFZljkRs42FMmNyMqF1urD81 HwZWoxmupcGtf05Ioi+WsemsLPWuhvFrkwMi3pqxZ2gk+5oNxd2CUD7qVQlv mw78qSvHT4cs2avCnxdsF6FspQuj9miy0+6TeFxWj0WlK7AzOIfGS8xp9C0Y YloCNzpNYEy1lqvFtYtQv+XNGse5YufQbC6N02JeTCK17TJ4aeNoFnv6UL5E nma5z3DLsScCnApE6Z+3iFvxDSZdhoumQnNmP5HnAuVCnjCsgp5JGl/UJvLb plrstpPlV5N+3KBkR+X4YFYsbhdd+r/Aavd9+Ph2quR4kR73Sff46esSiiM/ oHG3Lxe31km6Hu6M4HfW7HagE63WO8J+eSPuNkVxwsHlrreDC6l4qTP3OtwR NbLVsE434uD0QpaaPsQOudVIls5qhU849gc7cF3WM/HzXhQjVkyQdBkayiN9 srBwk8BQLUtcuZPLQRvLheEEE6r868c1/8hN0i6/YMMABL8q4tj6xzh4ypyR 46PRI9SIhjnG/KTxAVZBnbmxJkQM9cphekA/Hi1QoccyfSZJZ80hsQmnM6zR 1WgJPnRMFv3rfPFH8RxCXDdis7sJR2moUCtxIyweWjE3wJuLXUbx8m0v13tG 0tnxz2KNdypKtafD7Wk3Hp3zANcHqXJhDTijui9L5yrxwrxr+D0oGogcx9ln m2F6TREXTMo4cJUBTSe0ikOlo/gycDMMxsdwkd8rHPu1XhQmvsc2VMPytYQq fqO4c1UX7tdQFOmWp9F84wMMlo5CQMdcum3oyYXuHyUysrnMPpzHzD9B7Br8 HN+Uh2NEjwLadbXBOTNzGrQMZf3yLM6JGMr9tWNE+or+NIv/hgYW0bZ1HFPS lmFN5GU0J5bAPCSUvtNk+TPtA9ZOXI4xTfpUbfdH5S5/NJccQM6FVujnd+V8 xUJuOulEXYfx3PYyAPEj5HEuLQM+rlosLfoqok1CMbPChHp+5pxn+Uvy7Vk9 etzKpt1oc1R4+bN/chAtE/eLEv9W4fl0G3r1bBGtKfvxX/AzdL7Sgs833sP5 oSLFxH/4MOQVjOItWXAhHjlzUnj34jmYlKfRZpA7+x6WZeb3O5g8IYCuRjEc d222pGyLHpedm4moQHdqzBwLyZdOnFCtT+/BlnwrbKizMYULTwxAZNFL7I42 54yTI1ie5siYz+b8fMNBBCUcxvEuN8TFt8GM1zSgzfQKGG95L6ztM7Gr+LHL eC1L6nxSY77fE2xyaRMLXIt5jR+FXr+7ki+jQkXdkUHc+HcRYrY8xo/lZbS8 aMaVZwJY6yfP3D+XkR4dxR6r5TjbBmzQnYNfF9NYMLYLryXY8c8JDVFxpDv2 eHdgtrsOVfZ/hUJzfz6/NpJR4U+Qo2pFubkXUaGyV8hoFHBaxXrx/G4vDgk6 i9iUzZh7xoCV+qmMUDkPreMLsL93LEfWduJMqa9VTWuXbAx/Jpo+pbJuRx8+ eNSdB3pcQ531UeHfWSLGvjstOtxVZd536ft1voJP1f7sfneTMFrlydQbXnww YQSWLfUTB6OLxBUZF95csFGoL58I04sJrC6z4Uz7bViQfUAMmDWM837lYqlB IGcXT4b5TH2+2BmOQUnWXFSigjKzCdxj1JXOemlC+5s/922cLbbpeDNkxmjm DHqP3Ds/UGIF+LQF8fsDRbxIKOSZsMt49GwMbhy8juAHu8WBrgFUGnQRk+fM Fv+k9743ajQHD29B410zun6fBjvlh8h6dUQSkODCwxESuoRsgcUuR7qesOJz WyBrQh+RGCThoCTp/UcdFnH97BkwtSvnhf2R9LO/JI4keBMrA3mr3Zhxh+Lp aRXBx+cGIEqB+Bo4kjmJoezynwLOrXwFm7Q/2Czl2sqH5rz1QYf1HbqjfsBl 9DunzyPR2WxZvh+1Vn35dlmiZMgxP5zSSuDla81Q35mM2vG9ODh0AE99Gc4X w0ZSZsEMUf3gC3ofLqWCRQ/J2GQHYVYp7YiLQ1mWXgGLEFks82iA2uEkHuzV Rxw9dRjaw8Nw8EI+O5UFUGt7DpvlCqi+0Jc3dd5hdrdGfDypwEO7dLmg73lM f/BIBI7ajif5p8A5z0Sy/nN0LJgNjzZfOpb5cdu69aJmRG+hX5eHOe4uiOio R/sw8KDje3wqHcHuhXsxdUYgq8Zck6i15LMhfRANwq7gbWUse/Ztw+GaaObm 5cBFyst9HuTC6/lnmDpns+ZRT677NIzuXX9i8pBZ0FH0oXdIKlcVvIb9Xjv6 emjzuEdXqA/PY2HkeTQunoWNGWbSTJLmetw9eKeYMbftoeTQnuVwkGZPt2+H Jf7ZqzDV3Ja/a79gQdNf/Jy1HBtfLsGsLvLc+q0HNUuVOeBQGLaeieTqX72o 2dlCLOzfg5dPT0Pq0hVI3XAOBsOs2fWE4DCnzuxWkU/Vx5NEWPcwlk8ZSJm/ tmx17IHT+mW89m0t5kd78uzZn6j5YM1Sbzs6Nj9C1XA5nEh/hjU73ohVs3/D SG4Peoydgy7LbbA/oQub14dQf2wOo0Yewn8T0/i5oz7Do/aKU0bFNFEJ4+SH njReHEjZE00YfHwFZmnUoP7GPoR13o2VtwM4dO9PyRK/BA7+q8eVU/vy8AFn 0WipwMtaTjwwcK3LxjWG1PtPl0pTNFm3bh+Oq9ZB58wQTD6VQNOmbLxNHo8O 6WuF8e+zWNlZA2JCKC9L/XH+/rniZHAuLc768dODSPHvqj5DTe2wPrcXI53U UZUTLincV8ZN563oMaUdqSfWY9vVFZJWmzSe25LL/TZ5TN8+BZNQzCE7/Rja bI6SEDUuizmF3gW3ML1oGHXHDmJEkgZ7Pi3AB41I+kTJY8uM5ZIVTOHe/CJc vtSPH59MR9rH4fRSvoS7mUmU7zoRJ86+gWHDYtcePQQVuyzAv4uhNCqZCFUr HVxYpsKoXa3Q+q6Pk6Uh/KL2Gc9uzMOqcXVYfboSemNfQ8ulK99s680GaiI8 R51Xfafhra5g+RwJ1n1O471WW87R/ybROJzL17uC2aNmDAPuSjADK5Go/0bU mt8RfktK0b7VhMfTDCh3VJcD3V2Y82EU5aafwIsP0dRt3YLNFWNxdq01L2Za Y/NjV3Y+qcsL4TfEw3WPRLSnMQ8V6UKnxZyj1wxn2CEj1g0P4sL9vdnf3YwG pV6cJDuY93urM13PmOu2gMYz3yB2xVr0k42j59jpWLA6HH/m6CO3oViaCz6M 854Enwmjebd7BB23L8GJNZ+QqFYt8b6ezG3Tf6BlTynFktGofj5EyB/+id53 VNl9vhLz3rlxRoYS7cI3Y9FcFf7rDdaaRPPs80YUTF6GKSv6sVu9Kn9US5jd aQLFfDkK98X4dS6J3TuqQGd4GAt2DOeltkgYOnZnzfIlomXRAsyZqYKV7q50 nR7E+91Wipa/EUxX9+TnID3+LD2FxfFRzDxmyDGxpxB+N5r/y6JvffZga5d1 4rbqPgR8zBFNUc6UfRrBLClHDEnfiaVpvXjifCr/He3KSQNT8HnfA3HP15KV CkuE2RcD1vTciS1v3Bn2Io6zyjciPW4ctaZ3QnCXoTjydhPcWvfiUuBY7pxr zwlnlqKvdyB9v1UhbvV0yF+cjvEb/sBSt5SlUZ3YS78eqvGJeCPtR20tj9DR P4N7RzyDzTF9+M5YiMnb2zDWV4YHvSPZq8Nj9PyjhU8Le7E6LZn9ZsyHzaoO 3DoghA5DjVnUQ49m48I5bq49gq578n3BR/RRcxI+hrHs0DVfLIhxxVXNMs7X 9YVrhxoE9bTA1O6V4gQVhYGzLcPytdg26jZ2LBzHE0tLmFQ+jKkzj4qzSfF0 flNEx2h5SanJdYmtuRvDT6ZzrftX3HC7LT48MGTExzL0/VHKV2OHotf4N5i5 /AIcgo8hYuljICSBWUZBXNn+EY8mjONUr1Yx/ZwFTT/a8WrqVei+O4uJX8Pp HVAvkV8YwIbYfHq4VWHFcjVO19XjnsQUVrQG89jAOIa7OPLo+kd4u6MGcwMv iZHX4/lgnSWvBvtTG4LHJ2kzdG0Rw+EvCf1pBoWwDA7vclzyYVomQ1SV2B7U GzXPQlgyukUcPz6UGi+Poc/BeNqk9Oc/x2j2Db4i+eIVS80JNmIYLotJCxtE ys4TKNY+grVjR1NRbwJbp7zA1wu9mfzRh6qR5rzXksqmx3LoO28aPN9fwvEe 9/Ht8myUyNwTB5pW409BHvvGj+dLeRl+qWvF29WnkLZAmpEqk6XXnkav2dvh NqMHxzkYc8m6xQhvHshXvv2JOZ24qG8hyyd4cPpHc5qU+HPrdzeOTusG5Qxv Dtfz58O471jVvZQxU6x42kqRskLaf13WYYShFqv6bYTr+l5Mbr6NO47B+Pz3 HEp883n0nBOd3dP5bXk07ykrsuPfs8i5rCwKbOvxW3kSrk105CznvrSpXYs5 ymrIl3rjqx79mTnYCvY/TGnidRM6vTvixLl4am224vaCOCrFLJdcbRjLouQR 3BTmwLrIEK7cdQ47hg7k/TG9JcN33sarz6V01/Sh54kqLNj0CUPuDWNWL0d6 /3yE/d4dubTalruC7JBVmSrVxGqcHzieMzt24mM1R645ms6Ne22oWW7J4uRP uL9RjvUvJwpf32hob1BBx80a7H1hAL+UaTKzW1++37QWQzTbEd5+E+2xqzB8 cHfeGbsCpWuV4fXeh/E+tuJSWRgm/5yDyOiL8IquQ/yfsbQ+ewMtg9T5scGM Ml6L8XeHI8v15fn4XUfqf8/hq6/b4Pb5AQq6hdK5wYePAsZyiEIJh48cxYjr LyH3Z8D/vmGMx6XbsS1vMQrvGrO5woC9H7gzwcyEm07cwDm/XnzSdQG8tjjw 5q6N+JMty/g1Lvx9Mw09WMK9E7dj77Wewu8EOa4uG775c7AjZCTtVbPQM1GT MiejeMTzG7Zbz8GIsqc47LsTJUs/4IZHMct2evNsmDeM76mwMEeB9TsK+DFL m9aeu9H5oR5dzb6iwcxaLNuvhnNeV7FbqrWhPzO4yzZL5Ckrcclq0t5tID6H dcDQlvWI29CZbi99cPWrP9XWhvLBIm3Yhqkx+2YWN2hXwPFzLHeG2dDbdyAU lRZi5YG+bFNJ4O0EezaM6c6vnQ348rMS+81Nw5D0ZNjbZOKX9X0oJN3F9Nx8 6qrOxw3ngXykHsr6RR50mxfJ7t7hPHb4ITZ56PONwjF86T6KLc4v8Eja0SPj PLFuWin/yx3MtDGqTPtaj0ZPd7onhGJogSnNvNUZt0baa/N0IGcdxfzi45iu 3JWDr6gjbp8BvYLiuSB4K+IGgJOz3uJ3VCzfGYyj8ntNPJg+CPN/DONV5+ei /4DRcLe2x2szeUw9P4i/k7SZUBjMVev7i1NRauw6JZPXordImvMgXv4J5PkU GS6w2oqFf1di5oMoOnlZs+bqRJSrNiPkqS8HBDny1fJAvC07gx3TnHjHWAfp tSn06KLNDw8/o/Ok83gv/U3sO1Dp42C+S85i7w2Cb3ebou7YAFj8UkFXaPHO 17/475kXb0cbsmDdNoy7eR3+U/M5vbcWO8Y2iv7dpmDoDnmO8RkvwsuceHu/ PWf8vovhhSuw8F4cD3awYOWnQB7R9mdu+nFEHMjg8nYZeOQb4tuW56KLVLOm s/qIN49rsHJQCVtO38KF0bdw46IRq++fEc21TyQdlSO4IaIWapKliNukw+13 9XktZxAtv29AtGUmd0dGMvnINbDdjYv2p0Cltw433Jbmzd8NkprxZ+BTe8d1 Uv/lCL/sLp53akTb9Yvo/jeaF023iid5/yHqdxK063uzZJSgeUMQ9lga8OzP k0hVN+N8N08aOJTgi2EqHf17s+3vZ0z/48aaU0HYvsEbSsoysOnwFXZnbMV6 GSuqexbhxccA9nsVDf9dCtBflMwtuwdzxfeRDNueJnoPGyICDLvjyr9jmFqg z7Ol9nywTJ8v0y4ia0cSB7WPwxHbvnw21R/Tbg+QOC4yo+L7ua6nd4/GwQND ifMObJ46nstf2mCKlFujDiRg6PwPOJQ0nH10L0JWf4owcUgRXbz2iivpEi40 6yYm/NPDRbOOvHyyPybN70ZXQ+lztCuIvN4tMPmagDMvLkp1acLc7CAxcHs+ BlxyZUyZES+fCuHgu0M5cl0X7O1kQIUjZXCrks5VlA5W7HVnUcF21B2+hXw1 N6w6e1zMOftJMnLvV8z/7sroyTdRuM8WH7zG842rP9/3S2HHkbuw6OYDiUVA JIc4RXGy2ijxc/wmWG5bIHQbmyGzI4FyycHcbKon/v4spOjqgZGXBnDRirFU +6JC3xPvJF3PjeMAdzMEd7iJcX0uYej6HXjxm7DxNMaG5725/9YQHB+oLsye TkHEhls4LrzE6aoMHjuShUhjJ6rv2yLWv4vhWqdRVHAfzEVeHeg7a7eYnuzP 8PhU9ksezIbhDpKX35R52TKfbeuyaFH0F4E3nLF1UgpSEzqJa5EHJWu2vsfk P0r4r9Ua3r0u4bF2CPd5jqCDvIQTXDpwRnwONR8/gszqQjqm9qOTZTJMOJxV F+KgHnpLLFoSgYKvmzG/XIMj5/yEWvpH2M+PofHAIJovuwUv/BTH/y7FVdtQ juv5Cc+VByKx2ouJBgrcIGMm5NvvY/fBTtw07Akq26xodmwu9I658t/gSZLU a7exuGKDCHy7EH7Wqpy5MJqaZ3syVMaFWjd70vqOG1+/+oejy6tQ3Xkx2OwC 52Q/pqyM4uyjUk7a7s07L82F81MXyg6IZvMgT4b+N4DTnb2Z2hhJnY/ZlGRt RFHtAKwumAc/2dvop9WIJwsiuDBrE5RuXRf1Hbrzpstr9PO1YdB1KetVWfLr 2MGwbA1glm9HsUltruR0Vj6PBMjh48u/uO0zH6szbopBfazE6E7rUZygIuWV F/CcOooaG6aLnn56PKVeKR5E7MToea3QjVoFp/Q4ztVcINKWLsTSpV6sfxvC KLtIaB48gM3q1kj/0AdyPvrcn6go7Kwk7NNUjr7HTHBqYj6HHNTl0/ZIuqln C2Vz0uI/VSFvEkVjz4noVRVLndSluOS+GauulqF1gSJNvh5Ae8fLiNjyAz+0 +7M5sJipCYYsPDleyG924PX9nfn+piqLMvPYbecxrHTtwGc9fFi8Vll09fuA XKc4bqssc90XdBLfJjng7PmudDzQDQ4dfZje7SMemppidtdTME96gmEvcnll aBd6dM1l54BeDD/zCm3DTImyQN7Yk8SPyhtRviybu6veIPO6JXv9XYZbs9Xp UvVIjAgPY/DcVmTYL8WSEDvKJK8R3nrXoTrUkTseO7DklCLbNDZhdYwuJ/3+ 33nGIKbxOdKmetApqQ08XsBmq78YZN9HuHVy4RejsbgbmMc7r/1YaDYR87Li KBRaJcFPcuiTlIKJy+slAZJ7SP27CV2b7mO+eWcYbQvi3xhrHp4q9RnNJ+K/ ITHs9qEXFy+w5RTnlWjNyKBftCOtRi1AU2UYFRoWYXN1BWYFGzBnhKbEZ6UN f8dfQUDAPxE2MJ6hMT/wUlkZ6rVjEbkzTYQvSMWcuhzeeijDO/EerHugyoSH Q3jvWCO877ZAP/GoOPLvm7Cp1oVm7TMxO/2q8C+OgdkVOx7duR69GyWstJsm bj3RZrrcYO67Esi52iG4WFUlkj/VQUj9t8vTUK5fnMsKu3gu+z6QYy2Gsnbm PtedmRo8Gt4gVCZeRtkLFeaGjGBubSYX29+W6IeH8uTqgdwbUS7Mi+N54f5p BCxyw6/QpbDZ3oJJreeR8KkX8/f1YYVSPXpn29LsyQfYzHgjfD5dx4oBv/Gf xnGxV9tNYqtcjnP7nmHJ0GfQGeTAD9scmb/1PzhcU6N7+wqJyjoP3tDww+pq B675osp9XXfgbYkXbob6MsvtNabu12FIvS/XHTTjPbUVkmFFtvh8Mx3LGnrz cLYnpzYP40P3jVDVHM5/2feR8Hwt/nq4IaY4muUTG6UZMhWPh6bSzcOTZo+3 Y/LjoVRZYsB71o6Imr0ZSVbauHplJDv07cTK7ASaKvhz83ED+Nd9wcb6RBH7 Mp9VzRPE5F8zhMKrOFq/y2VmnS0/Lrbny5hbotm9FZ2ORtK0x3hxsP0QLLKs oDL5Nury9+GD7Riaa25CZW02e86Poqb/QI5p6MbtShK22ftxtl8eWxsD2fVy veTbgZl44rkMWxf34+V/WlSfOAuzjOJoPj6CqqWQ9pFujD41HrMPW9A9eCx5 7gKeBibT4GA+LZxWwOeSNkPC7Xn/Qyy7WEm5bHMO5e9Mh7LxWnHssgFX/RfL UT39Mf6CE9e+dqfxhDYcM94g/Kp7YnCSA6dszuUY1UaotfzBbssZwmnUbxF7 vV4UXCqA1hpnbphty8D04Xzp6s38jtG8uzeLchs1kKE2B57XSPWRigxy78mo zSNZ30OdjUU9WDdQmSWPXZmj7cWp9V/xZ+AG+EaGiZBDg3n/pBlVew3gupAa mPExEk+PQ5m0s3zoM4qnVkdQRXEgW4foYdeOTUJ/5Uos/ZDDBQZfMdNMhR9U Q+iScwYWB+pw7EUtZvy8D2/ZWA7uZs3Ny22h71+DZ7KX4DWnXvxercWJ88tw K+6zOLEpiO75k5HbX54W0p61+UAvnrxYI0rGZTF+dEfoJe7D85+K/PjTSzLh nwYiFj1B/z72fNf9KGQKPcSvhs2SsOIA2nttRfWYrbhqocMi2QE8eU4G1Uq6 fGJ1WHyfksxm90zmSq5iquMs3HyiRct8DcmRm/dx4JUBF04P4X08x7aGGHZ4 lsnAzo6s+hPFXR3vQ03PlOmjjOj8N1KiHZ2DlMOaDN20QlxZcEq8OdcNUSc9 uFuqY5OFfyE315+vJ9YiXM6QT2Rz2D8hiW9edOOy8hNw0OuO8gVVmLV+g+jM cG7oOJYRASEMc5wmpr0rYWJ5R568ksUFx71pkP8ZVmnrcWfCRSipmPJ25FMx bNll/E035/DeR8T7fyMhkzYTmc0OfD1nMby7vpDUbR/M3vJX8ebzJfx9KsO2 87MQ6B3NR9K8rNnvRbWuctz3dhCf/VmHscvHssM7DR6ZqcqTP0bxzD8H0XFV Lx619qF4PkfyqmUgTaZF0H2vPc/e34VVOwzgozoFMW8bJNOen4biYw2Wlhby husGcT/EjyvaOuD8nJsYUxHK+b1sWOOSQ/XqPFG39iFKNk2GvfQag4pEvtG+ Ilra0sTvfjIM1h7GlU570GXvVtTsXYWpP/25e6vgwlR1jjt1CsGJCXQIWYdN LVcktZLz+OGlxscn7yA5/B28u5AV0w4h9FMZIw0ui3INQ2zy6cIPK5bAt1zA c0g3Nhjoo3ZsNqO7/0CfmqmoVNmCpkQXMUR+JM97OuNjbRfx5ugvqM34Ig7J uKL6/EzJ7sp5qLazwKULNtC6eQf/+7890L07y+MLsTeiDTJLBmLXATeMWyDH TJMSlkwezT7PS+ESbUk+iqJICMKoLTNRWD1b+JyO4uGaa/jaZoQRSX3YOvm4 iDqjzA/5ndisqI6DLzKY9n0hhriawT2oO9O3m+Ov80gaiBCmXr6CNH0N7Lv2 Az29ZkpCq6T+52dNV+lMuv0awoa0u8ivm4GWTbrcKEfMMo/mpNxTcFw9FLu3 69F94EfsPdid4eWWXL+jjAEju/P9jPEYwWOS6W+7M9RPn223A6F7ZDxf9p0n +Zr0yrXw8iN83xnJcS1Xsdq7DRPrddjh00jeaM5EVEg4NX458kBFBhfW57N9 +3hqO74W37V9eFLnJ0IzYtnD6hP2np6MrCQX1sc788PgA2h8sgwFB6tFjnIH JvxK4Nbf97H/+ig6rFPEaymDZf79gThbfXaoDECRTZ4IUVTitgEHEasXzNJl e/BOSRsq2kp8+V8/djvwQhSYduL1m+k01l0sCs6FSKxeKXBj80kcTjoFs9K9 KJD625b9EpY0JOCT7Ek02CYxweIgFJ5E8cWFE0BDPvu0tEOpNp+9djSKMV9c +W1HG9ZkPsD5g8vRb8hcsc4pnXL3Vku6OQ+Cy7cRfJVZg9cX94ss4zM4V92J M61qoNj7GyzyF2NpRw/hHhnAKa1G7Cf1dKfrteJQ5guMbHLhxbspWPKqhJXz OnPymU6cuE8dsVOWYM7lEMRoB3P1u43ofEeTrw6DtvlvxLIP0s7T6bK4+NOX fhFKjL5ezP8SOzMhqz8XD4zh1ppSDj2TySD5j7hT9QVjbbei4OIOXJNfivyN PyHvLifWZv5D0wd5Lp52UwS2DuHZizOgdSWM3/yyMSLOkqdvdUFuije6dhvH /VPtOfHRKhyRlXLCixS2LUmQtHotxsX8+WgaVSUm1EVJxhtqMAn38XrhCVG2 6g9crjxD24AG/M6fLXRV3+Fjl8789iccE0N6cWTbFKzvGy0p89qJLXs88Owy OLzKBOdnTIeG7izMywvnfff1+L5wLBHTD1nzh9NdR5ev7XJZ9CmcXgVv8D1a iR6+gazLd0VNfFcR3ZKB8u3ZPOJoxs57U+jpngHX/52J1FTne51QrD57HQMm 2Qmz9jg+yFbhizobbnvvzY17dmHj1760PnlOpDRMcM2UN0Z2+xiXgQOT+XOx PgeZjsTWAXnUf67GyUeL+eNZNhfMega/498QL0Lp7PoO/tWHIT/PioM8bHi7 8hN+b+/GrnelXPDZF+L8RoHTI1hm1YZ+B39jXuopofXTlPZ6Fdi5tRsPGeaL Z+ad+HjZJui/2oLOnX14NHYuFB4cx7PzOzHzP1NGTRuDiCfRNHd9jJnlmZx4 UJsj5s9FW70XZfIM8bTDbER7OjLrKnne0AnVCcl8M7EHQpa4cO+P7Tg0phUz 7TwZ4BvE7sbBWJYWz+N+mzF5y2vMUuvEmmdZVNiRD9kuM8V+BTlWGGmzbwm5 2i+Zrh2kL2dSCg+M7Uvd12N44N8b7E3Zjb2m1nhvF8OTB1zYZXIZLTochn9C Gg/X92HUFFfKNE7FljI3lvz6hOvjB/NxYzE2xJwQpbvKRbc3WlBpfiXuzx6F 4EB1fh3tgJ5mQ2H02hI+ubHcdNKLCo5lrD3dk5fCHmJ/x1mw+Z4pfO63IfLI TeE3YKtYs3EifoWEsubpa8nkhTXikXTvJXs2YN6qG2Ls50W4ZTeKmy3axA3b OLb8S2HUyFuYrpzNz/ZK4v35PAa8WYl5Dc2iqCiZn77FMDpBHYfOutBrpTU1 KsCZBy3xe4sTDQpNqViyTzQp6FJnayRsjnRkr2Yf1nXuiXl7BlI7JJ1XhnzC zUlGkM205vsdP9Be24Vr5A0hpBzvtGIo+/v5QDJyBGsf2vGOtC/KTP0ibtv3 4/lHJgz7msH0IjdeSfoEuYkBrNr4QgycWMzV6svEljfdRPS/GPq5dYJMyi1Y dcrkvdIyFrYU890twY8VR/DYJxPhKsfEv0lLJLO2DuTAaRbsfPQjkpfJsGzq HfGrql3iEybNOGcX3k6/J97YnsCR8ebCavc6yEOHSwNXusY99KJZZSp/RM7A UedMen2ZQBWFUvTvLxEx669DbVcdcjr/ElY56/H6qRpqFGMQeeKDSFIdgi9z 50lmbs+narQWTlZ9x5DQJaLidRjviAvC+X0H9OmowTFPDKm6zphne8QzOuKF q3eoNcaGk/sd8zm85SlmBYVQbm4Eg2UnsMnUgzGPNrvGrlyIm6e3YW1mCGse +3DqtCGUmybt8M+miuH3XgnV+THUnb4E5fl30XpzNeT7PUWc4lYUTdKRsqGE zdM1kZAbSGd7OT5u8WWOtRf2qWriYmovplrLcMNtD27s/wvVIZE8U13C/vX7 cHbzYB5+NAEzxD4smnJL/AqdIWnftgqzAp045b0L4i+Yc9TrKchsiWG5pRJt bfeJSHlTPrdTZG2ZNmF7DN0iB/FUWRlk82OZVzsJNQ9+oKaLJrPnJVJscuep LbMwx30XfKKk7Ld/G64MCKW7QR4HdirGrAAjOlUGwx8nhIPKXLgtqMSg7mYU hRqsfxWGEV5y1FOtEQ/6/ILNoJeYmNdZrP65Ge2FPcXwwbNxsKILnhVuwoC6 KZiSrYSUdBeGSA5KOXc6XvsdQthQBfY0d8NY/wwuvWZJhcoCoeh8VazWMeX+ nqZoWT2a268NYe8FezG14wkEZ6bwzc0SLjHR4uj3yeR0Mj5BsN1uKo5U5qMp 8AdOzPLh45UqsAxRoc6cJnRX0Wfd7Ub81smRcv4RmC/xZpfTyzFrljM/dezJ 9NB6LF7dCInOSB7Y64XcKbtxsGCWUD9ayL9Tk6mlkIHmYn3qBSTTedJULBo/ nt82n0Bix848cKQ3Zld9xrfIMIRfX4TieisEN2gxp30HzF1eYNe/q5KuWQkc 0LcdPSs6w159tLQ3PhCSnU3CXWG9uO4o7W/nVouLNfdwoqQTQ89MwiB7H45o jeC7xnF8daNYnO/qyvz5f3DuqyZ9M7rTdps7/skewbe/4zkq8QH6WNzGDaWI //+mzsx9tViSrkqh/wgXnkiZ07YCc055s+G6F2/n2tFsdhpnBqljnNTjYmRG 4HDRPdQHB/G240zkRS/CMX9zVMUuxt74QTSxNMYgm83iR34mx6w1475L9lT6 MJrDX79FhN85IV+tzNmyUQyS9RCOLhMxMdMbp3d35rgNTnx4aiwvv8zAl7cv 0dpth7CiA9us9mDbfg/Jsy0T2LbChJfaL6PY2IVDls8EpUl94JUmrS9Y8MeB YNoaTsWe70l4aPYEN6mJnqruvD3kOCYt2iEGPN+A+qhiPvGbgCdGSWDiKtHn bx5MZDaI8AIj8TVEl6Vd7fjw9Ry0plzG0p4fkCFlj4T3+jy4uABG0h7YZ68b mq82YpkkEhfG/sbCX8VcdyeIC6K3YjgGsNXRkX2Vq7CkwIRPV/3CWClzjryT yGHS9eidXIQDyedxf+YkPFkxCA1ZVty+sYRTKufg+A0PWrRrUK7yBmatHYF3 U9QwbLwTfJf048X8OMQ1bkR4dhwV49aLgKXhqFVtxolJ6zDQcw+G5hyD/ela /H5uwUW2K+BQvBtZh1aJgtcDsedxEPqedOTMDSFsWPQMZwPnYNfUn2g5mcx7 Us+uDNmI5U/DqPA0mI1TP2GGXQYHGThxWLENFqp9he7O/rST3Y5dv2IkTa7T MD7LlTeqBnKJxT2kmJwRC+Mnw63XeIY03oKq0TpUX9DgsezraGy7KIpkD4uf jx6iQ9x2NK2qxZNaS1bPLuANX3/qTnHk9vIAHrRM5HKVd5iTHc2K2lF0klXm oa33MCbTgM9ttLn610a8iO3HiuF5tHI0wJtN2fTdPpp7RurhVmASxLseHHZe lcnSvqogboqkz+481NAfm55342oDWWZdK6ReYyXGerixXxZ5VZrLOxWUuF9p sei5KJn5JgHMXtGffbUaMWnaNyQaZkPvQRBSRq+CJKkXNwd7i9R1uux/MRlD 9rXD4+B8LKmbjSt7nWH/ZQifNU1H69QJLH8Zy/K0GF6N7M+xp/qI4DuxSOjn xzv/ubDbsv/w4fYj/Ip5Ke6uymZ99iYh154K34Nq9FzWmWtDNHEl04jLLzuw 6bo7fozNZ4/Bdly2qh3+9Z6o6+NF0+BM1GkV8JZfCNpT0mmkPFMskddE5ywP NpxdiSv9lVhl+0h09SrlY/kX2NTHid3tmsXV06uF46xmSf3I/5D5JZtLgr3Z qesz5G0hhzz8g+9/VmJwczzuexui4bksbP97j8cDkvg9dQYe/+jNE37mPKN1 A8aGS1BVUEaZWEv6vxvLmQtcKZldIZbv0mTljRzuMcrhkPcPcXu+MgftvCyG bH6Mi31keLqyiBsTw3hJqkErOwnvj1PkjKBMbutpSovw1+L3vP/j6Lz/qf7/ N055I2Rkk5CMCpHNeV4XGZmFIrOykl1IySrtvUtLpTQ0NbS3Nk3trdIuaWt9 z+f7D7xu57wej8d13e+/nPMN92WUaXz4vkh1MUTPaR70/H0MXyTK/GiXTceZ F7GtzRF5V/04Of23WBCbx6qFAaCiNyue2PDX51/Y0PDFg7f2Y5f8ME7btRH/ +a/H+/0/0Gy8HD+eyVApy5Z+r6ZB4mrA3hbKPHpgI5prH4oOAROxKKmEHd7t xojsPP5yny8KJ+mwq9E9UMoZ89fdxNhJLkxSl6W7xiLIHtRF2lhvWhUn0c99 LL9IYjDLfCwPqXZgdJE7TmzRZu20XzDrbMvPCgHsrtQB89LluFHRnb3fTMTc b8dQ9iSLs/fNwcqEcZzVEMVrGZWo+fUJpjYloueUbN5tSuSEW/8xs9IZoy2M uP3OZ6g9vCGuzo7lqh8aDLmrx5yveyTHlZyEv20yj/ib4+zXcqwoG842Hx+i jzEdgsdC97ceF7qaUn9DHA9m9qa53EecXqSBuqUyzHlyEdMnOdFBBFGjoyfV r3Tl5MBong35AaPaHFrFHJRUvkvg1n8t4mNbT/F3cQkLkmdLTAMfQSVyPB96 T0ZNYBW2e//wuORsJ/IX6/PC1NFYm6vCHwYGEMfMWNA8iOE7szg5Jp/PO6pR O3EcOkk6MDRViU8edeaup0N563Uhz1bMw+THrvzyz5ve2nFUv27BnfWF+HO5 Ff7XnXHVNZy1GaFcsLQn18wPpkVPS6plLxb5XZpE3kkv5EQNxcV3epxUIXVT 15NY9m0ZamvL0Chbi1WXS9jn7z9pN61AUPwaLPZ1wZibbuySWY5/fdyQLe2W tPd/oK/qxgFpR6BX3wr9O4Es2HVcbNC2o0YHwUMBXZlU6Mi1d5Zj2ajuTG2I p6+99MYnO7C37UTUXndh7rw2/E76jtCmq6j9bc0JaoXs3k0wsaMWfLxUuKlw EFyjFDH36V/k3EyhCA9C8NTXImppFjcETIepsT2fa1sz6PJ1EWzmh3NWP8XS oAxGr1PnfzWK3NpszLMLfNE7wxdXL4ax89aJkBRcQmRQu5i0O5jG71zQ8c0+ zPbpwNfl3TD8Yl++O6fKjraDRfWHTtx3I5I96o1ZFltA9WO38XluMRdFDuLB lxNw/GQpUxY3IflVLOfds0H4bkfhHWnJJ9OU0XfJS6jqurPH6qEifWA/Xnhv 6n4Ut7F53wNJ5ZMeHBLjyjH742DkU4KBbu+htGw97PeMkKg2rYCyylroMJav u5oyyEILyV7GdO9cj/YWBQYeqRGND6zE29mNCC9Wgf7iKCjds+Xo/gP5olmd x3K/o7uZLV5kzEDL2yIenGAmis+V8WuCHWoSDWB/2BAh0qxMto6hW98NaOll yyl1LnyaKEd3n0fQ6l4p7uT7Uu/DRRzPOI0ezxfj3sNQliX70rz4vOTz52RW 3OzHo21LoSTN1psv7qIa7jx5yI7JPaL42ywdo1KKuPC0Jjv8uY5I7QWIQkfq LEzmqFZS3/gJNhUXsVy7AmcfuHOyYgGOftWEldp0OPSU45zSV0LZeDglEg+e OBfFN/ZWfGJJKif60+hDCUc5WPLhYz1++jtdNF7Ro95fRXKOOusH2+LHDXc2 LgEjdcwk/bUHc0T1KMyNeQjvSXkMOmrHP+0STg91Zae26yJkdzo06y+JY/9F s/B9KvOc1MVIvybJHd1ubJ+4SeiU5NMw/6ro9yee7zsoSg4rSDms3y+UnIvj 42VJPLkhVPwx1OTIfxOxZ4UiUsx9OL75AjbExfKDjCYtNAzhpNGT4/pn8YNZ NufqVktQaMJKh0cYsOU3nkzZh/KfU5HcQxOV5yxY0PBL1P0YQY1WSxpce4as PStxqTWMfQ8qU3/2ZKGnmMCKE460nm3GwSdLxetPcZLB0l1PH+TPtWZqjDkL zvdZjna1MVzwpwBnK7JxSeelmH6xHdonAjj1oRV9upWLu+vzsEdlBEMas9jx zjgu/tyZOekulB8/DQ1zinAxKwEBtcuwFN0QGGgD6y1u+PHbhbvepNH1jQXm vIjh4clfJaVd7qLi+lWhNzIFLcv+48GPQ1E+cAu0tjbA74clj2eWsfrgfZQP y+KjRnXevHAGxzxlUG7lSresfqxQuot/K69hhkEitzjI0WOlAvNtv2L/WXV2 Xd6Orrt1OH/oWAZmVqFHVghPps5H4OtfosopiNs3/8Q4Q3tEj9+BzUo5bN04 F91K9OC5YJLodfstniqO4PIbehiUoMNBoZZ8Hm1A61Qv3An+jhcJ7twxII27 2yo9LpiXsufpSWJw1yJ+fxdM+TcpLFuxRZj30eHdkJ94JVmAlTcGMa4xlO2+ j6GvUCP6XauXZD1S4WtvW1rV96LXoyBeneUoukV0QqdeBnzi3CKCd/lS1krq Sn5NsDpwGInJrrR71o2rdApxOaojn4zvidgvGSwyqMMM1570fDQbv0pkOHno RSwMsmfYscEcFTaMbzqoccL9P+LI35eomfUPa55os9LLjZVHu7FXdCjdlOK5 qsSDP6vGiyGureJLmg1ztzigYH1Xmqi+ExNTtMSpaGWMb4jjN7dYuuz8j50L Q/DwfRaV3s/EwJp1+DSuCiu2BUrnYcbZre50dPqPfx7GsmmQBbUNu/F98xNR tLcP/d4cQsiweXjmlsRPwT35W/EYXJ2NOdzgjPDYkoQAnRasuCDPxboZ8E5y 59Wl3ihKKOTnJ49F2j1XnjuZzf46mbB9m0nnbX6cOe4eZrmrc8gEG1qHfxGp 2oFUPVOBtEojxHVL5Kqd5pw3ypT5qV5cWhhM5fAyWhoa8cvRYTx9YAJUbHrw Yq/OjOntQ9kwJz47OwaTE634OD6XxqlnUXPzPLZY1mD39NP4+1sbM5Utobmk HZ4iggMjEtlttSyXx6dg5iMTHNfJpuapPJbE2tL4QDOslldj65A1+JiqguXB reJoyTtwkSZtzeVZljqCM6zLOGd1EFT7RiCttxHz5pUj0PAPziuuRPffSnhn ZcLyXAsRFOXF6hG70NfIBNtPeHCnyxhuLtuP2EIzTqs6AtfWt1gk58SkB8Y0 X5pLeVUP7J+ZKF7cduDD+c7scL+3mHF4CLvklqBzWgwOKN5D3YSpuFrXKOov T0f/BxNR9FCWcYYaOL5Nl1rKtUI70plfK3p4vO88T/SZsxqVxddwJTyWBY0t GFSTQOvkWiR98eZle0eaddFlg7fgDKFFDRsr2HUvpsE2Ked/s6Zy5lKEvjgr ZqV1YsDHCCR/i4FBLyNO7Z7Mf99TOP+ODg//Pi3urj2Mb30niKjg0xKlc50Z Kf8KC1Ti2PpgI477BnJd33WSqzOK2UHDnkffjOY+89+4u6EZxRb5tPdW5rAB c/Dgal++kLqVwWNfPr7Wld1tVovXT67BYvRDNNt/ht1sA55apA8DKQfvLKjA rJIYegz7i2jnteJpxgCebTcV2zb64emQ+fguF81jgx9jkmEiV2y5gGgp1xnU XIK6qT8/utXiWGYxo/3BDZ286dc8nOlvPag4UwXliR7i9ygvmlTJ0boqCn1U pXs4icJGynh6137h8i3BuFu2tM5w5b9xf7G//i++D1mADqlZVEltwNkOUbwV HsOPFRa0qX3i8XpiIDf3HsjBORtgMyGUM1cO4O3/bLlrfl9cjDyIRU+ficAo ZU7bocx9BkH4WBzLmm2+VLsnS5v5U4WnvQWbbbaIce/KMUfOntMu6WDP1WsS zXlvYSXNiXULu+OiTjIbn/jT9b4RH4z4I54sGMjDWmWcFqGNC53HckFiNDU1 dqG8qwwr/c2ZOz8Bczxf4vBETc71WYchu01YXdmH+9uXYMb8Czic24bU8lGc HLDVo0j+OMwd6hBSUIseHlpYoTWGKaVt6Go4WYzL8aWRailVD91CvI8Wk4/m cHjKUEZsUOa5X63o1NtfUnj7AzKnnkf88EB6H9yBloIMfl5YjrVhj+EwRh5h qX24tKyIvU1SGdevJ2umLoLhndFMV+nHSd+cObpzP66c5I4xhoKn16nicL97 +Dkynlf7EI2HYrlk6A3IugxjfXl3fnUo5J7GnqxOjuLUYGd4eg3jtXgf/Ndv DEbXbcKMpnsItvDgmMQnuLhdi/lqF3HXaJ9Ea2BHTrfai5yiabj/ZzC/Z/3H LRNOi+nXZXlFEkR9R2/KVLZJkiYNwr2nDZhZ1IWdGr0544IXPUKLiV8/cXGn Pk8mTMSjK+bMXNYXsV0sWfO/35gz+QAF1Usor9JnaexYqg88heH7nVkb4c9h n/xoaG/G4HYNLt74TlIe7MyTge3ig3Egy85oMcn6J6Ke3IFLj2tixy5Xyuho 88ytrtx/yQe+CX+gtnW7ONAjmU3HbPkaNTAJWo3UFxNwzc6CY1Lr4XP+KHKY BKupBcyrPobg5sNixBUrvrYewftH4zjFeJpQK5cRBnM2i39eUXC6tRiflmQy LDOBV7qqw1bBgzem9+GPA/5M6irt1x9y3HNtNJf/6c3aVTdw2XMOsOezmCh7 AV+GnBfWxb9E3Ibb6LjDkcfHz8B98148ZtdPyrTJmFc3nvUu7yQub3owztYd y9RduXdwNG8lKXOm4UimSoby+b9kvrF9KAbvLmRT3yCOmTqWKT/9OL/fKAY+ /4Qm02LKpJaI/Tdj6LovnWfX3IXR2JlSJ+vH1Oh0tkcshFr4b+j+r2dHL8C/ Rb9wycGRTb2le7CwJ8KNzmBmqB89FoZToYsSc1NsmNO4CR5zKHo+LEeChhLS n8fTJcSQuyud0GPeTmzTkuW5Q78w9M9A1it15jNjOTpK96b0YijN0SYiZh8S yz58x8h0O6R9KWWc5i58GBPKMRfceP0TuSM7jvgdz6m1I4TWioN4V/if2KH1 El5efWngO4JRe92YHziIt75H0Wmc9PtpDWW3Fnkay63Dihfn8O6kOyfd3IbK 60GsqrZnaoKBZG1/Lb4d6YQ+6U3wWiQrpvlEc/MSX0Q0ThfnfPw5+tZK0V2K w2NsxjJJ6qclmwKYbNWM2DYP2I7UZVSAG0eMS+HQA41oFDIs694I7fcHYfWf BaeOGMfzS/LEdNer+Gv62aPD0aGo/zMJH/rNwLmjqdxyoha3Fwxm0O7+DFxo xmWuh3D/QR61VbNoaBvEA4NC+FonV8QUR1I/SpXf7NWp67gTuaWdGPgyhjUW uVRRyINz1S1oJKtyxqsXeKs7jip9asWrbtY0GxfJdMlNVE2T50iTQUxPtOSk AY6S2movqsUM4dXWB6JKLp7aHb15XEPqAEUBPFC5F3K+X/C9tx9H3f6K/JRx PLZiP+I+e/FsjgwlybYIyYrgz5AG8V6vG6XtKnobm3JPqy7lxj0Wm+0DJeu9 9bnycjFj+n8TZUuGsbpTJn1eWbBmUzDvPjHn2hPmbO43H9tmx+N5SytqG3T4 POMvDr7Ih6Q8F01WvbGzQZ/qHc3ZT2USbFJcGDpXhp4ZZ1BvtgE+2kG0nN2H h545sv+YKMlAaIutq94Jy/g2VE+S5aKpVVD/oYsX+rsxZeBkbPxwAiYOHemi sw51T7LZfMeY10LuQS27A3c/TGBd1wMwWDFNTK9YDM9rsvyx6BwuuY+Axcdt 6PizD8cf6Mfzl1R5Q/sQnAPNWRvpxME1ryW7jbsxtPNcLMqyo8LsJ+4nnhzF o9/G/OC5Vlwo0+RH1x7cpXRJMqnPBJR0Suewx9rUNTiD7K3e9Do2nlcHHhQO NQ2SGVMWQC9fn25+IbwScRFTVHO5wL0z9vbyYbvsG3ioXMeEPYWM3JMgopyM 2c++EdOCrdhHyYq3/Er5zdyO+2ZuxlvfQLF0WrEoPyPBuMFr8HLRVyy7NxGT 5Adx+XBj3o4eyYGqB0XQTld+6jqQag9mIN3ckZ7Gmtyf7c6uV4ZxZdpo2gVe h7vSX8R42jMtOhp//q3Ff3M0GRbyC2a1umLjWkuGbJTnlUM/kfLQjuN/q8Lj XmduWd6fX9u7wDVMQi7WkPLYUB66r0HfvinCV2+Ee8OKfN5YM5Kqd+slrUW+ iM/pwhsWlVCeqyvtuwCoSnvd3u4qtv4pptv9IGos1eC2Jjtq+a3CPLNALr1r waKJ3vw4JIiTFFNgPtsIj4qXiKO22nQu68o567QkfQcLGN1IpcLaOpTszeHv W/fFbmmup4/K4OWiHlSMN+XSrnki9X40/deksi6vA/rP+YT4I3Zc+lWJi3Z1 YbRbJD1th2DRQDCr6gkcl6nStagvDRM6SqKT12Nr30TmFFzDhk1hfBe/ALUf Elj7cwiV4wOh2hrAbf/UEPn8MqrbjVi5OY87Z0n4W9pfisfb0bnwrDDvUI6g 0dNh2mrKvhd68fcNM/4zOw6VF5346LEs7yoel9yZaiLu9zNg3mU/jmjtw+23 duJQ0xeh8U+L5QN68F3YVXyYOZAh/t3o7Vsgfu3Vp+8UWSgN0PCI8rMgXPKp 8u2PJOZQEqdvseWjewP4KDafdy/VIyszANHhVpzy1Jclb9QZdNOP/+rScCSp BWa7/ITDt7UiZssWnO4ggzqDzRgWX4bB/p1poLtT7N8yQdxO1+fuRmM22oYz dMhkzOw5lg+di2jnbcNFzZaQ/edLq3wDIZF3wlafMhpM2yZ+XtQWU5QrPPRv rUD4Lg9MT+zO6q3RnK5ZzD6B30Wkkg49/16RyLw1gs8Sf3F85yC2xmcwfthc 1FjIslylBdenKtFRyvif7r7CxN+Bov2RJoeZLELPin+Ydk0GckOa4a5tKtlx YjyPdZZjk5iFmweNmD1ZiVYdBvLixAdiWn8nWt/9J9yeWdNpxWwMumPIEw05 GDQymtXx5MkMVR5WO4zvIXZ8MCOVjb9/Y7XhAgy4l4oLD1eJr5ve4tG278K5 LIGjUrtRUe8ySur6sn71Y3QP2AfnHdUibmkPluu+EHG3vgitrXuwuUtPGB3d L652dmZw9SOYzO6Al1dK+WqlAXPl70Nhag/Ov+nF5Vd1+X6NHm929OWH5njW nlTllUEC94fGi5mewXw6YzoerhhLU60wTrg1iHN9XdjthwEGDxlN2zoXjLnS LpmqFMLcSDkYT/glRhbp8srGQ9gwslLcX5tBn8cxtCmxpFLgcpy7UMgX8oJp ASaMu7JYpDemSarXtGCIxTZxylCTS2uGMy7fiekZpjwb9xJvs1ajx3MVib55 LldlZ3G0pxvvSnMvv7uEi4cX8d3EhXB5N5zL1WfAwj2JI5pseLzhGqbtkuWo k8CFfzfwZ9I6IdUzctgr3FSfhKIH99H4LINNy9rxuEifnV0Taf5Qj15SJnxZ 6Mkvtk78pT2Qim692O9kNYr183jPuEzcC85gTs1I7PryG90W7Xdfmr4JB4d+ R3bfUube3YoOvyo9WvZrcZDrXrF3jROPPVfgPP2pWHVsGbZaTEB2UkdRdyuM qFFg+s3VQj71CNbY2LFePZFqkrmiuu98zNZ/KElI3Yb0LamoiVYQTgVavKBo xKUpFvzVMgsW1z3Z4D+Wrfv8uMBSFTkPe9I1OZ7W/dO4bFAccr5fQ4hDFUql nJmZOpTm8wu58Kc/b7RvhaXUjwIdfmDQtQj23+bAjVFnxfVodbpvm4vvKo7C 4mpX9m+25vQxkdx3PZwB5QnMDunALz0+Co+gcuT92weWGPJS9QTc+aLOky2U jBvgiKKQnRhq+QMfA/9KxsuM44F8X049MklcUFssTny472Foegi9o51Z8diY J9xLaTnEjXs9BrLaw5IDs45JZEZvFhYvJsJUM5Ht/paclRxMWXcPRsZ0Qfiz Z5JOL/14JPEx7H3WoH7bSkyyeI4NuREo/fYey4dEUGOcNhVSJkr2TRnB5+ei KXs4hDJzy3Fyuq3E0seNrjvmiZEylfC21eDS3cN4ZeoYlk1zE3smdkFmyUes UUnl+2HJtPMfCFNpplbLP8S6T1sR8Osdrl7woPboL5iTZsVuOy5D/lwv6m40 ZoG2BHJH6zB4eHeuOaXGXe+n4emdRnGxRx/41Xozv24lamHB9mR/JpSqirHP pHwQGswN+0byQJQMdGO1cX6rEpd/9ea8i9LerQaXaOtRfXc6Bi8v5JJffpw8 sxpXGqMYcf0SfJoM+d7YCnIyFlz4VQZmdgE0qPiG1JozKD2UxtIu4+HXS5az 7l5HzwgTPppnw45LF+D1V00YR21DdfZ4yqYUI07WjUNHD8erY524PXQ4azc/ QeX3P1Co/ywW/jqAJrOTqHUsZpByV16vfol9p89LfP7IIFD8Qqx3PgYH5DPa 8zmccqK59nW1xMdMiRvnaqA1XJ+qkfGsv94dc4OTyT6K7K3gyDMXUnngbRP+ 6E6Dz4+PODylG5vG+XL/rTXiULAqa5RUuG94MWdcDubMsmp4fV3rIWOlw+2n yrDfryet213QX2MlQu31abDgDVb915mnK5W4bZ0MYjua8cDk7pw334QKiywZ 4TcLXeHH4I3h/JJLrl1xXuSsNhWdCE4Jd2ZsD3UKeyVpd07HOrN+1P+WyHue 1Xi1xJ0mZ9ehvCSQXXw/QzHrFs7+MaOhrzT75r2HZ//OnFb0FLlvIxE46wUm 2RyA2jEf9m/yoXKzsvixthgxrx8ju/UdVqVvQeIsicSoIZ9JXwfT/vhdrC4f z+NnRtNoto9kYdYWnPe5is7rtNDyJ4M/z2pz5yd9YbZ/OW4G+3Dr4AjW7zBn 32Jn3rldByqMYtvvWUjOH8XrTrcwK+026gcKzmuRkyydNIjDy6NI3UTejnDj qvkGGDtPFeMS/bFbLxDhB8LpO6YRxxb/B72+8fy0p0q0PUmjQpwPZY67I9Vf jWr4KobrVaC1Wyv8EieiTfU9/MIKuHX2J2h6JHNCZjwvF4Zz0MhtqF1uI377 BFH79CXhWpsh+rl0oPbK7gjQkWXwn1YEjY/n/KMe7HnoqXAoNuXGH9049VRv Lr3ohS495iBSdyzn7lBleftohhuVMmXdIL4/b4KQrjLsNfwizvcfy+lBvYR8 8wrcdnLml9kDeTm3kBvvFYlVdYaUH3EMRsFyVOusysSunVFwI4mqj6fC9Wog h77x4JTkStzOK2OkY7sQ0OCUM6swf2w32vg4S14f9UCi1KXbfb9jnL4RQ8fG wm/9c3x1yZM8kQ/hmNkOsJ6QhvkbDblN6uXyNt057c8/oTq+DS9GaIpJp82Z 9zSJ71YWIy1XAiU9J95pbhV5RaWcsVJW6pNhnPM3UMhIeyMqaDg77RzMP1eS eCf1NE7PMZZob7Lm+3cW1OmcT6s6a6R7rsbeo1YMLPlPNO3dIub3+iHmLrCF 3UNTfiidjIvz/uNLKafkDjXku0PZaPyuzEWBIxB/r1jS1DwHedXdWTA5hMcv /4Ly4I7sP0Tana4ZDFnfmS1+Ddh7PJiHNL+h/Mcj8a3vZpgX+IlVu/IYppPN k3Fa7JsxlkFPB6DLhO5CslOT3zcuR0uP8+hqsgqP1mYKo7dzPXbtz2WaozXt Zdx4Ni+VZ/YKfh8/A5+s+/OSdzkMLbthV+tM7O0yR1z4Kc2gskyaeCZRfWkK Y8vdob07GRm+t5GeboEpo3Og6P0f74elsmnuHHGprQ4/V4yjwi0VNlYcQ2Zh Nvfa78GnsPPIHLwUJ3oeE03BxWy7dhlDfS05r3apOKKwGy4FQ9jgeRAvzkkz y2oE1w39gDtPTMlRb4RpuvRuR6UzemIXdpzrw699UrF0mjI6zOuD/X3eI3No hccR6W13ShA4O+grOj3uSTUpU6vvGYLvudexIcmZn25LoBUeLGxX9uO8CQOZ VFTATPN8lG1+JOyeq3JOgBmPde/PR89MuSXjHNZ/dmF/L+nNN+9FwrLOLKvr hahZfWmmeQcmZxdBW9cFGSfGMlM7jQerg7m/8oHonurA7Y7JOFj2HHlas7HL cCrufX8IfC5E0gxg+qFA/otsxfmUQPrXRzNW5w7Uau6jSk8b/a0N6OL4Dk/z 6/BuVDP0p23ClNRiHlufxnlhPXGgLY8zczQ466YiM573xbnRS3G95Qvm9yhl P8sq3DTVZ3TOKjS+H8cI7UxuLTHiP89TGGWngrWTRgnrOdFsXBWLRWoLRUCL La/t3gv5QxlC7Y0/c75F43L7AcilWDEhTI/5swyE/1Yf/s21xX+lCzH1Sw6v PevDgg/pklOTR6DPAE92fLACjvWpjNNXZYp8MYyWPYHxO3J+2nZMmOPA2xcv u5t/Gc8jlTfx0XCMSNDy4t2iXPGi+wIsVXdlLLvz7ozJGKe0Fto9bot/cR0R 8J8tEyXxdOp7FYWFDizO/IVkv0LYrCulmWsBZ0zpw+s1r8TiHRoYcOmsCDs0 kqcqvHBafhIKzxzEUSnz5d+/Atne4xg834IxAT5YHGdK4ehB2deGTK9ywIWE Sqzd6YU68yHiQ5KM2O98CnN3nYabXDJTZCJ5RckQbroG3LgiHt9+ePOi1HUe vDiLJYV6NNNpB+760LJ7Krt+3I4Fxwvw6spWyP1xplGaLw2ZwB19e7FLh6uQ L/uM1C+DeeBrlbg0YyeWqfdhSsgKDL/xWezPvYT1sbnC+/xxLKs05JEJDlzc 9gMH/QPp/uKnEGmGnOP/RFybnMlcIw+OXasi2fFCHYNXDGfCsIvQ/7Aedw94 YYxFIORixnLoNW/SZSIeNoxhcZwqgkItJT/q3PgiJIrH3xcQeSMxfF8QFQ4o 83SFJl3MUzHH8R6q/FNweWscFNKcuDXolDBwE/CIPIcHNxSZOLkY0UlmXB6T wyj5ofy64Tr6fnsuzryT5Z8JFyU2NU785N8Mly0tUO4ewvYtbUiV+lHamlGs 8nDjGxNHxv+cCJP4bDG7JY7f5/6SHDXYgqkFmTCxHEfvLWOZZJjA4Ola9Lwu fb7nPrHq5F9kmmrjwuu3+LbBjHvHgkfCnXj330Ic+BUNlccujLj5A2ujOouT yqlcvyXl///LMKFlppgeKmGTahZPy2tR9u0v8aCiFF4Z2fyx/Q8U93yWpDUM ZY15jTjw7RIcVuzF1WUlXJ0ndQ4/I7w0U8B1F3N2sw6ha88cPnpRgnaHIHYN LWb6ORdudgB7mfrTvsNuPFk3Ea+/D2PvN3XCcnR3NiXMx8mWYC7My4e1h4qo 7aPAYRPNxKhhKzHwn5RpRtmxfeYYNm0p4YZnejRykzrNjnlodNLhmYF3MWtH ALu0HUB+arnw2WVF7SNajAox46tfvWlm+kjqiQb4dNiJorQBFaMHcKuSJutW O4nCh6tFnvVn4Fwi+ynIsPDNAgy/RVGW0gaNvoGYujwHnjYOPLBxADOfn4BM xUxMzrFi+9Y8auW/FtltIVTvOxVv/rPgoZ/FeDRyGlJypLu3eSf0xntxmtVN yHwbxt1T2nCzfjBOtKQxqMCentOe4vynl2K43DDk//Knc/UYWMgp8kzWTJze Y8CbisOhfFsLZqWbxLIdPbnt4H/o6dWN5x7WY/6p0TTfWMy3g+6gR9h7bGk2 5K9+Pbn6fRZ1592FyaLJ2DJ1DErfR8D0zgXJ3QXRnFMwERMDinjqXDg3D4mA XI0827x0UdrwVRyyM8GK8mhsrEznSz0Ffrl/X/ywzGOF2XTobF6K/K7mVD45 kIe/DZS0+R1E621fbizaiHGjPNGhTZcWAYOoE/hUGEXchGqlHV8vl7pdU7o4 /9MRWXc0eMfujFD+o0zfEc9xVUOPZ6d25Pe4gcw4nEyP2+N59oAlEzaosq3U gI1+I3h+YAdOuhkn6sNjqVNlh5F3juJ1lyoclB+P7DYNyZsYVa77fANezX7U fpNGTj8qqpKjWdR9FQbbkz6fTLHMLBRL3OMlI95bcdNveX4NmIHmcQpCMegu 9js4MVfKBP98U4X5IzsOmmXML6EO/LnoObz9M1h87Klk20jpzKy68EeEK7c+ suaBNB+ePpvKD2ZRSDZWFm+GdOOeQ71YNnwbVi3x5yybSuF8ZC7uvdVDWEZf 2kyO4AzZKuyM2Ci5e70S8R0cufb0ZaDqKnbvakXSzmXoNTCD7NCLvwsLeX/q brxoT+P4sx6sNSuh9s0iXj2dz/Ddm7D18y+4GWRT/0ox70udoO2ilvSz92PL Dj1+XnsfS+Ql1DWJ4KCGXL4rW4/dW9sxzFgLe3s48+Tk2+LQwYOib7YPVqzI E7sDZLklxI5LzNskXzZ9Fg8XvoTTkX8olbrYI6u3aBqYC5NPYXR6Qco3jmP8 i3hOLghF/sF83rhTjNTyb0gsuoRUpaf48HQMLQ+Rcqu8+Mu6Fy8eqMGlUxac Pt8fZ67rcdULaw5cr8ftV+twvlmOWeYRtHlhztV1NyS7wkfSe3487W+fx/TU 6ZhoNATDTTuxeM9IZscOoMegp3hnoE7dGYmsDf+Ja7Xpwme1PL8NGMfeEn00 eiby14sW7N/Yg6t36TO7dikkpzKpWPNJtGkOYnv4R+lczNmwaBQNlH+KlyW+ qAvsRZhPgEaXQL4OV+aaIgV2dnPlu1dD+NsilUHdn0s5UI6hU++LZnM51n09 hC3fTTmkNYZ/F42ncXgk18yz5/jJp1H3+Lhk1qDZ2Fu8CJ8bHwnWP4Pik+6U M/8Nc6MeeHQ6gnqPB8HQOQvrSgJIjSWirdtq3DVXYs6Bd2KYV5zUl3W5S+EF Rg/VB/QmI95pFHq8D6bErA9PPYqmlfJG5E/5jsqbalwdZysiPQ4iot1VGNVf QN3nDFF/P5hxG8dwxKtEWhQas9dtDy76qIRkW8HZ8hPBcZpYN0yF8Zs0Odtv H7Z3TURocx7c/U/h/nA/Ya25CS97b8TKC+GcG7gegbcVeS+6Ax2nVKBLlzjh n9oG/byJ0DRJwW4VHxYtV4LRme7kmVzaaKiwx9ZfGFL7GHXXi/n+1i38p1bK hWvtqH/tt5ixxpqq4wo54lIaQ3yCsHrFDeG5WZOqjTKSDgo2bHx0Ds7Xcpio VkidHyAVr+NzqTr3ZzwUB6WZtrw4hk4XQ1lUk81LauUYc06wq6UuzzW4MKvW SzyOWyA+Kg2l/TcvEdMrgB8LZgqf4AgmrDPgkTvxPOMfxX8lCdyeNhTZe49J dnQ8LEbcUOHBssmiMKUBMya44ZpDb25JUUbysRMIsxLw+yJDD0mDSF1YxrBj aRx0vwDHkwLF3k8JdJJT55fIVDb83CfWtt7GqjJbflyWKq5cPY6fgUUc9sWJ 6xUsOTExm0rhPVgu6UOnWUvx91yruDrlOJoUV0gaKozYoF8utu114tNTzbDM NuayZ4BmyU2xs24Mlb7OhdXvImp1sGHSv1Ts8Jeh84VIJqzpQpmISLYf7cod 8X355WkKzykZ83ZhHy5e2IFJtw/izvEGDCnV5Aurf3gcNpZ/9YKFzfQx1O/t K5ExLaDX7MO47uZHua/qmDD6B7JN34lldoOp5bQE+s1h0v2X8lx4DH++nYGA jn0YHjwFX7toY66eHh1rglnftYS68e1i8y8rJN+cANOIEA7Sz8KE5nJcX/IW 69u+Q+tyJBdMkuXFg4OZn5HO+gvdJHVPv2LB0wgmbtosDjf2ECufFMHwdxfm rxtP/5YC9t7zFOOK5TF9kzFmzZuMup7GXLosi0Mb8rjxoBpvj9TjXIah/Ab5 /bMDnZXOoQes2cM+hLmr3elt/0Yyc1Y3WD9IE9Ym4/HiuCnHbX2BI4uD6Rca yDG9TSRRPlF4pPoRlpVSHsgw4rMpD8SEnpkcOmQkzy5MoqtHIEOmW6D+iD3k S/tyo9tSaD6ZhoWPN2BYcR5vZOvxzWANTEpeiu8OvWg17y2+HguEQng+yzYt g/fyway7oAuZbBMU3ldgp1w38XC9Nk8PKaXJ6VaUztDB2vvnMPPUYFyrd0Pp 40bktKxH6+Y6hDpKOHZfGMJGj+SIsZdwftR5ePb8Is0yZw6cnkEV53MIi/Hn x/nvxUi3Fix8Fsy+J0OZePgYHth4suc2B9zYHczskV5SdjCi5T47XpRvQO/o tWiK3ij1+3RM5x3xs94Otftu4+/DadA2SIT9fGMWRp7H/qsvcdt3E1JVTuDw SRXO2t2RVQlaDJs0nsuUQtBSkkb9fcbcf2SdkOg9x+8OWryYVY6/F8olOUYX hbmZNgvGZtI5rBO9L5MZE7vy6Ob7MB+vzSkvLOkw8jIi2/Q5IdQSBltkeDlS Bq87bsOjASGs3N6XJ1a5s/joKtjsyvRYMmoVIkyXwfJYFpcPTefnbHvKG50Q /90IpFzeGTw0Ancn3fCoHK9PRbtjWHH7Ouxc8pBVUC20pLP8mZnHY/d/YeSV GR5H13ehnqUaB+iUScNFG6pvWnEA3rzr3yo5ozhPclLRjRXnQtBNOUBy40kn rM1xJb1iiANN2B45kO9ujaXhBGf0OzqAHyo2YO7umeJa7BxM2S1Pu2pNyrxb gqQ4G9bKTINciz3majXiZs0QPlwiQ4t5nzG3RoH9LIq4qC6ZjU6FtKzR5zAp 92R98mLaGx/2+ufE0h6HxLZHN1GZdQGtqonIfB3JN9edOOe0Gxr+2ONgy3s8 fbcIL4IdmTJ8CqzG7MX+u3rc36sDmiKUGHNFgyfmd6BcxUEx+eQj2HbIYh+F lRjjuReT38pRxsWKDU+3wXJWb+oYaXKegwfXx+zBnHdAlnYYV7w3wt1RuazP TxKjpPcpX6ctDnyYicYnjtzgvtcjW7IcHb86UNcohapRB1Fu5suwly8lWc/z 0dlBkSV/sjjxSxssX7gy/9Z7lBnuhc7KC2LDGEVGdxHcsGcG7sQX0fGxMfZM yWavE7UY8G8Qy6Xv2iAjn72/j+aA5mHi5tcKMbz3TLinBDNYWZYGsZW4engI k16/QkpSP+pGmXDL1O0IMXmMJEbyWdtP0SmxAxv9lyN4fDxnedZBY+xMaOdE 8sWGbqj+cxj9Q++JTnPVOefWcQztmMtXKoN4ujyKQYM7sWFJFkv3j+Y4LyX2 FgrCRC0baeeOIEd+DLxsk7FqWDkM1I1xW9saX78ES2S1evHygbeo17Vgbd9w UWzVmwtsouhj+Annc4dz+xgjrJipRZflLRLtyAzu2+fA69dNePl4Bo+Vh3Hp XHs+tjyF4zPtOW54N/Q8SIbobJGo/V6MnNNlDL3QAaNM+rD/k07i1d9knipT 4ZBd2sgMn4zF5Wo8e8qe71OMufmHGVdGhtN81wHJpMf+yPLpwsrfy2Ci+Azh 33z5MMtLeJo4MV7xNPab5VIzbIqYMMaa/Rc/wc1+6jRtMuBdkzLuaQqX9sM1 DLV24le36zghk8KJI9vglXANLx0+4ZrOSO6yvwgd7+Mo+nQT4bF9xfZAf3Rb k8bk0N34EXwdnQ6FUKEmma/8bJG0zI0KzjE8bdGV6kom6LhOGa2+IXyodht2 c124vfy3sFb3hmPmJDGlfiv0DqayRfUGfmXmcE+EBi/UrILWtC/YPKwbC2YY 8aW2oIq6DtPjy8ST1H+Q0Se36Y8S4+MWQn1WAuUiLqH44U3s7DeEcwbmoGN6 IFe4fMBgr3ViSkIALx56JdoWguntXag20JIxQea0+G5C09zpGLI7jz2qH2BI z6HMzpmHWg15ziy3EAYn07BReY3k0GpXLpu4Xei80KXhqG5s0jcS4+WDCZ8P 6JX5XsS+DaLGwGL65N5Bbnos5+oEcK2Zj9S7ajH3VRYDWqvF/hm74XRfH+U7 BmD4+J3iXKUxO7uUi+U5QRxt+liYtadIZ+KD+gHz8Cv6E1QjV+DQ++XY/vMX 3oa/FOdb3+CQ9Xo8nBmOQzYquN7DG5a3InnHYR5kp+jyuOZ9pKfsE36/1ZjQ JZ6mcy9j2AdlntRcinpTc5Y1D2Xly078FhTMXR2LsGSXGWVbP2JKsAw3Sr1i 2NqD2BCzGU7pUq/Yq8hQ97WImBrLBcc0kdhXsOpxPz5bNpwXhxSiz4Rk+npu w9QN1pw7KRf/ecviwBUvakydiD9hvfCn21DObHgA769dRIFZk/hwXsrNKV9w e7I9c2vHoy1DDpkzQvmj/07xye08JKrGVMx6I4lb+xH6OUX83OEGxlaaiu6R RVRfL0fzw13477M8PUJKOEdPE6ee5SA60hanco4hdLgGO+6QPnudDFoHBtDC 5xdsRj3E2TglXr2RjO0f1KnhLcfMMide0LwojC64MVS5AbGVT9D7lBmH7RhH 88/mPOXfjCsXv4lZYhiWK8+Hp9pVeJdcxZABN4SxbG/6b1VhYPdYXo4azXeJ /3Bg2neRp6GL+3tV2KnzQA63C+XktV34tmq6ZOKZP1h2th37DlaIMUpvkJZh QNra82l+Al/eiWHy6LM4+rkUhzxWSFLSMvmjxZUbV8nTa6qd1Ou/i5Hynbhz QSH/XlcSydeC6BEUyqAnfZi9XBufP4zi3pd9uLRnCL2krvDyfhBVrixB8+Fn +L4zlytTJmB48GBxJ3q5CDt7C9rDomiwqh4b1m2GchcppwcF46LLUlQmZ/Hl myCuGf5askfK2tN3BqPzcTMuViugg9RxOvdoQDfzdvSSs+C5sEnY/70Kli06 rHPWQ8qeGFqMHMuPn59hRZcdiFyggEMpI9jwI4bXlk9Fv2M7xMTXRSwLimTp 61qxdGAf+teWctbDlaiqUqTLTHk+MTPCDusA9qvLgN28CmT4+7P8cj7njrbh 6modPpJW9ByF8fhtYo1u60/Dvesoqn5MxOXlUdz7bAjdXtzEbEMddhxULJmo M4LeunvEh5aHCFp9Hb7eXryllEXP796Qe5/Hd3kPRWYPE4yU80Lk/kX4EXQd AxK7QP+11AtCZSTzX/nQ5fkQrJbyj6z7aF6yiGH7kUieu2zIgn/G3Om+GfrH RnDg2QFoqE3kjHGhCOt3BXcHh8Pmix+rQgNh0taZsTtHYlNSF+jJJPLmSAPs f/EU7ltUUfHQC1vuffGwiZGBV8hwvrudx7S6CbBySKL3DAsayVhxzazDUNZb gW9ntyJr03jKrAzineeHcWbaTPHQQ41Lkld4PEg6Khb2TadCJyX+5CaxJWcf MrXjaXEhmuePp8OvVxWWeI7kqgULUKX9Es2Bf8SI2MEs8uvO6e7tQOpTSDb0 oeA3TLHL4IHjn+EfpszJ0l6e4d8dpwN9UfzvENIowfFkZw4/+lKsfHMK1lJH 0Q+QMHp7JLXakjhoQRpHDW3Gs2+3sNGmjGby91F4M421Pgrc9DmBqpfa0dZg I5qHbJRM9toNi2FSX3Y15YChNag4/BHTJ24VOx1cmTmiAclj/oiyikDub0nh IGs3/u1lwk9/ZRn50pjzf5lQwaY3d7QM4u1xuTy5/5CQzehNDNiFR+II0l6O YckXZY5VMeDVKjUWhwzg8HJHrul8GRL1H1h1z0fqkR78ePQevBwt2V+mv+Tr wiW4MCiKHfWei+LXDrx1xJPnrIZxi/J21OyqFk+OR4oO29dhaXaMuLJ9tIjb dBj3VFqwTqUDHkMFo22Nudc8VQx6UYDvSZXImFSDfI2OrBh6yEP5vSz85xWw 6UMaU7VNGCJmImndOaFRZ8r+ngasil2C1Klz0a3ejd9DLNjxhxHX1saJebXq WB2YhhwrFXou6cNvMXfF5DM74BR5Vow58hR3Gz35W78Ch6d3pe+jUczWqIDK f315dHJP1ii74WAJETBuBT7Nf4sO/YdQ/Wwgn7TlsCnpKuYYDMH24PdC5uF9 XMgaxfLw4ZxzJJ5nFYdwd1s49x+7IDYeapNczInES/+TMN1+HBh3BuPcn6GM aXQus8CoqzIML5Awf/FuVJyIoo1mBg33HcfSoep84KvJL3ZO3PmzC7716cke 2lFUaA2UziiGf3/IoSo8Dc8sRmKylzfddz2GziZbeD8NFtVRPhx2KoVqn4/B Z/V4+lk588TSg5KC9q2I9jQQ+2y90OnaMHwbfgOn5V4Lhzkq2JC1ARkmP8Tf 2bbs+qk/0aYlwhXSWXlTjpd+a9HhZAqP+ehTp7clnW7pYvVIQ9RcNUDE/Bie 3ezIX83LRd+epjyW+hO3PN1oYrVaPNq0H94fXXjnwQqYRFtzw2BTETBRnm9O OPNtgiI7jPkh9PcNkua8A9fbBrDGsIBpm+O47UgiNgww40iPOO7o0pcDHJtE hKorqqQZO2bEKYSNIc20IuBYOZyKTWPxfdx5oSGjSt8vYzEgVc9jnstftB/t yJpTMdS378UL4y056/R5seKrBzMr/ejv2ocz1u4VjacuwMxNhtPkynjY77R4 VuQKlaojUJ2qwZOKavwZ+hwn8xWxs12OJ1KPYPmEodz6U1f4ypWjZEB/pq+M gO5SR/wYfFR4RsnyXp0le9Qcg8aOaaJRFLP7j8twnr9ODLJrgMnFvvz0TI/f /MbC7VM6n3cJolLkZNF6vBZr3/XkoWEn0LqsDTG9y4RqcyF1k39j/MS3Itqy F4dKXNjsJZg1655Q2KzNq3dluVxRgc/e21Px4DoR8PIRPGaW0bRnKxbWF7D8 sTOvmebz8oNpoIsCO+59jyvBFdCrG89XjYYcd0N6J75vhWdFBGcVvcCPLaZs /GLJzvYvMbQom9H9R9Lu3wb8mlrG1T6pXKhvxw1jVuPtTyNqma1AfEscm/V3 42VxIMqTN2D+s5Gc71/GQ27B/DtSj6lWdnD8dQHLHcux0zaEAd0eQGn8e9Gn TyzMrpfQeHt/yfLyWZizaj5WFHejzZrJuOryHYM9B7D0jBUXKnZkdHUVdi0c K0ozZNg09oYwMs5Gu0sSOq96jiEaKjDLGMFA3cN4ULVKjK92gVPwJnG25z7J hsXZODvCmANiulLzuCFDTqSxqK8HYpbWYV18BWqMw4TyvWuIqOvAkjR/+OmP wIaVwfy65qAIP2LEw1Jeqsz8iPwl6+DeyYt/p9yGUpYcw9R98NJlIJsW2FG9 PFUsHFwIj5vfcSvuA3YmJeBMtRktb/cBOsyQhE56hOBNMTTI+ynO/Z0JlVgV MTPjLgw7fcHYEXOxeqgB137ozzlJndn/8jxhMDYWc0d/xVp5E8rf3I2wp6l0 UxvOBzOzWeoXCn/r5VA9LuGn6C84vWWE0N7XkROOKqJP1BjOmyu9AZ2LcFgx mC2x8Zy7yJbvfLvQcIA9RcVJOB/PY9XPKnH51jVM2pZF2c77kW66EE8X+rLn 9w143jpLaE6W4eFGJ+aeTMEqj5687RHIuNsfcEYyD2r6SnSyGc9U29H8vGsg xw7ypcLxCgRP7I5DnqN5LqiEYXcd8P32NHGxsAVz5vlQy1vqBp53hP+UvxLt 8wswvWM6YyN12aBvxIv5OvR4MZLKKhFsutuZmwf+xNsHI+j54wPWquXxmbMT 85dkY071RAT7jGLg2yrMu5nI9RP686/EntauivSa4MAbykV0KB2Nn/ceodms AT07r0a68yx01RvO2xHB6Noox1KlUiqMc+Dp7Z14ZaQBaxyeYs5wovf2bkxI 7AYj+VPwPChH537/RO6S/Uh1ksXBs0uwbuYVOL93Y3LDZ3G/dxla6nXwX1UJ vRSnS+e8DfnJ5/GvfhyPG+VxafkxUTgxF/veleB2aRSfJWYh4PIJFJXswqbo Ydz2YRV+tO6CYnepd8xZgrq6eB5NPIq9XY8jq6JerJZk8PG9XJzxakDdmXPo P+KaqK03RIXjI/fPPlLOzu/HD+d78UalpYiPymerXmfWRv/DFsNSrhk8EMP8 nGn7Opgfgw35Kv4m/uzbjbav8/Ai1otLhQ8X1k/DT8cCXn1A3tmfS9V0f8rf 1uLiKZp87PVXlJv157v9iljWugjL/FqgnXAR8y4FoOTIeC5cl4yIh2F8dSIP kTq2NP2nAAWLifgVMEXyfdg5geUpXPHKGRvi3bFscpMosSmFsYfg3z+XsMGy Wihu/iUejUgSl44UsEHaJWVe23DX1B7D+uUybfF4Vm8uhhhqjPpzp6Amc0S8 m19CvVnBPP9RnZfmxAkbnXNYrf0db3ekc+HgPqw81o2Vf+8gOdiEV9mfWlJ/ xdvlOGwymD993yLpnxcq+wzF/P/Ow2hHLNfdTWFM7FycFBb8UC1DPe3D+JGt w/2no0S3W/ZsWtibss3eXD9sIeozL8D9/zg6738u3/eNExkZZZRsQqIIlYzX dRxWskKUnRKSzKwQaWnvvd6009CQdgpRqbR3GtpTKtrj6/P9B+77cZ3XeR7n 8/nLfd8by7TPf1G4IYR1ngV8eV6ZKbaChn+1WR8+U5xMG8fS9xI+NTOgbogi wnISaa41EtMVunTwqYTTBg3k4bs9qfRKEae3a9F7wGFcqM3im/4LcPxFCxSH G9Oq6hPknkjz5Rtd3L4by1mGPbnqQwwPBZaLJ286s69dBh+9nMh5S+Spky8h dfR43U+H8Ufz+ey9HYysruHA7gp41r2FXpceuOatJBxnuMGsoQSr62x4yqVZ yOmvE0OZhV7b/DjCLpO6K+agoEsOA7YFcdDDFDY/XoVQv79C+msF9o00Fifu 5bP36cGw0TgvNn3I5d4Busxc4MjdI9VxLjqG8zKrYajcyXnw4Y6MWejMatfR tN4ZwQM1j3HHsRyuPX+Jdf9S+CZkFA+Mu4z/pC6K+AZtvDyqy5ChDzFEXg0v 8hfC/1g2Z5TcdO58JVME33fns3XBnHCnB/PkKnGzmymPp8pyOUbys34PRDyI Jr+rc8lRDfbPt+S1Mwm8P1mGe5SSuWKzfIe3q/JtZ2Vq/vWnT5gr98/tjiHz /uFjVRl6Dcqjaf0jYfliOBsmJ2Hc/BzxwlmNDerZ6Hk7DHuztcQrkcOXw56K CwVroV+XzrZ2da7rcJvJ+dUi/m0BYi4a0DjMiWeTgiCRyPJzhAGHvfwKp9c/ MUtqAmMnnBb+js4YdKAUY0+kU/lqJgZ+VqWH9Tec0E7jk8I7eNXB2JulhvDg q0yJ7HRrKPob0mxtCg5XViHM35FfDyRivJIXQ6f25TmJAaWH6NJ2rwxe5usy OzuTITG6WLlZE9tM3km2VU/A9kX1EkfzID5XWwSbhGC6erzCGc9WlCra8UdE AD8djezw8PnQ0gzD5UQfpo/7g7yccR17y4EjhyZSviybB4NcYXL/ttigoYY+ v5J4ZsMR0VQWIHocVmPbDiMwNoZSylfh/ec4kj2SOObwNrRUOVO0PscJ90T+ OmrOfRnxWJG+RMTs2yyytHO5tGY0l3V4xaYnHQ5RMxAuN5yh8/qyePEtnwsN OuFf3ws4HX0QF+PWQWeVJru9sOchy4vIV+vYtaW5PGizx3mPRQ73DB5H01te 7L/FgMPXz0BO1H1Rf2mN2N2/E+2nZfPEFSd6mjWhRP85Ln61Y7mVOrf8egqL 5hfi95+T+D1/FP1DHKk6fjpmKJ2F8Z2liGgPpvajYdydH0OzKcvxrew+LMLO 4ueB3izutBjlrwO49Ew2Jn3pyiVueRwaYsxdxzLwMGgBZNtCOMZLVxzduwD2 c6J5/eR5PPVz4N4If/heHc/vu/OwK0KGGbKdMcnvMfYuPYjOvVP5bvknaOgI Ziptg/yVegy8NIEW3mE0l9KgT/4kfsm34peXMyHfkYtvXcHgaBeeygvnqz+K PDfhPZ4tU2Dh0B6cZDmee69K06PiItynq9P2iDuXm21Fj3s78K09EP0mWTOh /R+ih0zAC1NNbg0oxteua5F2UIM7WMD+S1bh+fG9YmWqHH0a4zi10hcDritD q7sMVv4YyhO+hlhlnMFOC+cJ57vm/GHUH5Exw9jekTf/Em/jXtYLURPtzASL etg0TmbVpR60mDUXJSnbhMNcNdZmTBPzpLuKTb3LoPriPJQ+dubPe5Np17ke TS+2iNw/mmL5MEWhJELZr/4q4rZE8+Sux5gW/UFIBuZyhYcHZRrOIF9uIxS3 +3TwTiR7rTHh+lttwqWqEy0i32HCpZdCJyGH4WfMWLYkGnM3LsbQfgV8dMuc m8ZEw3CEDfu4enH3LlOcyZVn749HxKjhM2D34Rx690nn6tvTsGc2WVoygn/j vokP/ZaLsuFzxPmrrzD7jBXHJe/BmNy1uJW9Bjb1uUzTSGPR1xZMH2HHbWm5 DD64Tii8dGXoRg221p9B72XLYbPfnuurUqkb9Uc8lT+Mgd1UOMLgmZhn6w+/ C7n4WeZE46YrmDrVka4HE/g6rDdOr53EpBETuW1EZz59/kTcWnQGc0OLUTDF jklbRlEtRQ8j+1ZAxmk1qjp4zL25FNNskug9V5FjTNcj6pAOCypk2LTIhlVv c6ggfxPDFoWwcrgrU1dbS0wdFahd8QUl7do8tKYfHfwrRY6dYPraYYDmT0mf D5m8sslTyIZ/wpQQoP32Dcgev4JHDd9RtlCFx7f+hN6zMjyp8mbErPPYNdmX rQ62uHChCjvGfcfzPzqc6hnL2dZdOWXKZTi/jOHc4HXwMc2D4yFPsbJFC4by i0T87UUY6tadbguV2HIxHV2fPUFzgzwj/ozmcyVfYfFgpbh6Pw5TLjQh9F47 9m3x5MmHVZKW3IUIn1YnaTSS4vfz57FVKgsBi2RovMGXfpsLcTXrF8JvpfNY 4ACUO9hy6eDvePhpNBcWrhHbN57F77fd+fG/xSKuQooZRQGs0JVC9E0Pxmqe h9/+n7A8r4vTUYPwoO4z3lztD/u4Lnxrmcy2R1LcEzi4Y1aK+EkxgHMq07n1 tDXt7k1iYIIJ3W/0Z+lidTrNXAwt1Z+w27lLfG3TE7v+8+Q9pa8YF6xHHZ/O VMncgoYbaijZUY76z2EM2fIXZkeWiwenMuEVZkuj5NFoqb6H4qgyXEofIHmz dgdsHqvjicQO1bZ5tI0YytlLHorPQ4pwfrQaB8yJYdKhJDo86ozOw72x1NuI /w3ywO0329BqZkTnUW04ptuFv4dM5EO7G9jw2onz1o+mf4cvbc1J5+Dp3RmY 7UqFvtrsukeZ9kkenFFryT6T9iDl6k18aHHiibMnnKcmvcVo41DcWzaIH80y sSXdkwf2O/D6lcWi6UgzFt/NZNGkBrzqvBZPW97iWaCNkIrKwNjzTeilb0cF 5TIJt6TwalAYA4u/Qkn3O743ncK2OXVI6+aEYf+8MLGtK/0HDKb/b0c+kj+A tqQozK5S5P4PkxAQWiJCn6uyvkWeijLP0bvUjT5F38UgpWIElg6AYvcc51/P 7Ti26RDUAqYwzfEWUn5PERPSJWxsPoBpYZqY/fOPuNy3oxdfHBQvNxUg4bkm 3R5aUbavF2ODbjq/VmlF5JPRDN7tyd1BvxH99ypMQjtLDI2349+GDSh0LuKZ czsw92sXBsgVcphrk/DrtQBts0Zz11V55mWpM9R1L1IHLZKkxC1DSssDkRJX jDGed9H6hrzgVkg/XMGqtgGcO0YBkT9H8cTEgRxgk8XvaWbYuK0zPS7uhmuy KYY8yWTU7XKstcvFXhdzylwLh+e6m2g7KotIta8i+ddcvNo5DxZ3u+LcozNo qgzgsuBU/jq5Cvkad8TzlzJ0LFog/lgpsXzXKxyw8eKmLiHsW6TKy/UFdLq7 SFj9yaK1RSh7q5gx3c+ddWe+oXbvZlh2PiMuLvNm4GF7Pi2fivl91sHjcC7D fKWodm4id+da8MqZKyIjtx+Xh1my26x+uNBR85AKOxbkq7OpS5C4/nGOZPm5 dVBX8MdbFwOO660Gtxc+Qvb+GO5c8grRVz6h1xJyasxERpWsQ7+Zq7Ep5i3+ 07nnXL0rgH0uTOanSBPWGaow0kiP1jMjodyjoaN2WXxZsVMyOrIdiZ1D2HLW HtcKf0jiQo05+NBY3pv1WXLkUxGneJhw5LMoyalIfw7spsfF7ww5Mms8ZYui uO9cglDT8UfRufHsoWnFxoPK9NomzZVrLISrbHfuH6lNp9XWzO/wBvPCPlzb I5g3ve15+5AFi9XrJfywDBo792NJ0EjOPTqIc5eCU32bkTYiXhyxO4Mo+Uu4 HbBAzOtwrqyaU/A2uC3cB9SLtbcjWNjei/dEEo3uOjHQbD927u3H3rsT+K9v Mg/kTsPr0lCc73ADhYz54nmfX5ijHMtc46Fse7oTIfWKIkFzhnByUkf5uhY0 m/vzsJ4vGxIm0GltAZ/202NWiidv9OrNm2G6vJp+WlJ/tVnsftdd+J3/iRvH 87jAo0w4XJHiy8xUjtitjIMqmcxu16e7Z0eGlaRxmc8IVu5YD5nhjRiwIFeM GWbIbv1TeEphKIdEBrJLpMCXAb3oMKMb/d6ksH9lNGdNj5RYxYXxYt8+XNw9 mkvO6tMi6CVyFDKxakpXaiGfposnsteXdpzU3waByRiuIGji2onjzXJYM7UU /6aa4O0sCZIuLsW+BV7IcDmOXceX4YtkLe5Nk6behDjOHfRdLNTOpuG0bswc kMgRIUEs1JbhzqBx3NiqxPzqRxgYo8ZZjdux0FwVdU/UqOY6GYmtKsx0vSjy PL7jrWon7r0wlF+u27DedSJdP/al3+SZkNmZJT4edebnfD9+aM/puJvDMKrx 4c73vWjbvE6sdZXlDrVL+FNbxH1Rd4H+Y/lzgxVHJusz88hQ7ptQCf32IAap xHWw1TVcWDWWe1UGSqZ5F3HbigpI1a7G++SvktczTuPRtnWwP2/L6i/SlJMt QpjZRD6+9hWKq1SodNKLbn9t8e/SYCbp5FDadxQ337ZhwB8VVr81pFrFcC4d /lcs7fQNOu/V+aGuAl/DpjD59zhuyRuNZe+vC8/lJ/HuyycsmZrPdM2byDUr gUZpNzoX+PFN2hrx20IBZtkD+fSdFv3GObO/qgv7mvdhxVZXml2L4DIVCR8F D+HJt7KULziBqAhfGvQYyUXZE7m8Y84M7hqhh0Yg7eTs+Sr+HHJuKnLBFkGl a5bY86VZHJIphe+uTejfYzMS3aWxzsKb2elBfBJVipbNc4RnRS6LWxcjbe5h jFmoIXbq2PBvkRf2PH6B/LXnsfyNgGXHfg1N2SBivXtx00MNWu114dhIKf7s P4Y9zU7AVKkVGbI3hc/NFjHh+Hrh6uGG9G4v4ZCTBf0rs4WxlSfc20xpnZ2F 1pcLEBArx5ENr8WFYW/Fbo+elLNPFsucPWiQtwFnw2L5JPCDc2ldKSzHjcW+ 0lUSySlZ7kqa42y4ZRB7+/3FJ510PB4XRL1aN2rMNaTq5HRO3WEqdp4IoMy+ SVjUwSp9sy6il00zFkoUMGpgLWLtFFnkGEjvo5VC7dNsyfUDORxkdgTn1nuR b+bAaZol9OLvCEWDQWJ371FUnf4Innlz8TN1Fn49jEXlah1mFXan51dvuvua clAHh//dXoIpT7w6euAyuhw4jYVWSVQpV6HC5noxRKtKhD0xY8XZCtQcyeWv JEc6V+nQdKQr3x3Wpa6FLcdNmw2Z6RLaT1iB9A5+2Zy1Bg5FjWisqkBl4w0o GMTz+jxtLnPUQvKgHiwQ3dnbeSmeDzoj5B7m4tR/wTx82JFXQyKpqDQV/TMi 6OjvwVHT9yLvkyuVzzRi86WpaPM2oOygXK7Z1Anzk134IrQrPc1zWGCigIN+ apTZmMuSllx+8wiltk0JMjfKM/bmQbFs92scZyh+KayA9Q9Tnl5wW3zYI0er KB++PnkYXUo9WJ0bhG1TPbm06rpY3XsMx4+Upuu3RsQ/NqJU551Q0FHjuWgJ K29mo/vzWLypPSQcatswaeALyZBR61C2M4YrnOPFDw9V8fGtg0hYnsDBwhM7 9xdwvroRFzeFM1MyD3mJdgw3KOCYlMeID47jMN0i/jswjntnxPPvEH1GLw7h zpMJGH/yAY66GCHeZwLP7tgF5QshPL90En+5nBUT6t6i/LEMt4kz6DR4Dx7I +dFj3kBeqb2E823n0PQ6mf66J9DiNYLzFgzGnmAfRj0vZPf/xrJS2Y+RpTWw evkeJUc92OS5SnJWz5h3flej1myruDa1E5398nC35BkWDXiL1Jjekoc99mL4 khdommMo7idPYIl8DsdtyIKsWSwTE/+K0A2T+WhYMJcPmw85bQu+GJ3N9DfS QvZhb7aHT0LtP3VOuu2G1lEFnPlqIMJ3xtHtxxeM+uPGdM9G+C24gKRLqTzZ vRh1/02k+6L9yAyqRs7CZZi4cRRjRpgLZePRPNz3jaRd5SNWN32VPFs0lgkL 9+DaBGM66VtQ66E7Z77oh2a1ZLH/UwZLd4+hM83YtesvVLr1YsPiF9jaw4gl Cy142+kURs14KXG2CMb28V054/Vx2KTpQie/DF8lMdzY4EiHDyfE9NMeHTvn f98PLOS6Dg5d+6kEd9cPZsnbOH6dEEZ3wxrYDjiFD/IWNFdcDP25i3Ch52AW v/2DqL8xvNUnl2rq75E9pAwPlijCKOCAWNi7JyfWKbHZeqUkxTKLSk/sueS3 BQcp9qdisgJfKj9zXtD4A92VZSmqBnFqgRQe2PyGYT8JVjf7c8FLTcDPlHKv m/Bp7U6x/0G1GPbcFvcsU/g5ditmOZjyw710+HW3x8dtwbS6l4XyrQPExkne zOz5Df1uePCz01OxYN1MbMl9hI3fT4uqq16YVWhHrRoLbgqfyPwuG5G9IY/r TD+LgWomDFWdI85t+CP2//WhjlMtql+6cPWBRSibak3lETGcqa3KLwMs2fu1 Ode1FIob9law3B6GwZNL0GnRV8mxOFPWHrkKaYzsyLj9uL/Sh5qzu/PRCXX4 5XbDZund+KzUwa7eD7Bi2nkxsSxGWAfk8OFmfb4v9kZnGV0ev3BAXBiYxjRY 8epYBZZtdmasUgErAx4Kh2YtBGX1oeb4J5hZbMzz7y5A95ktHo7uzzqlcSxQ 2om3mR9w0sadzrPGs8tGWS67Hc1S0zCqRxgjRS2O8R0ON/11EUfPDKaQvMGR BD3uqDmPbolFnLciD19itBkpSnGs9j5ipQN4vFhTEvj4pXjafS7kE6/gx8N8 vpCEcMHwCTiueUe8eqBKY5eOHujsxmfWfbnf/YO4Zy7Lp38PY6GhD0MbdmG5 Wsd5PTqzT0ud5J28K6fq9he2dTK0PiVPo+NWNDPtyCsvZ6qsGoPa74Z8fDaL NwKn0MbuNgJ/+lHefCw3bw6mgYUnJ+Y2i6rEN9Ca98pp2Ss/qqwNgGJdPRLu 7MVzG1veNJdhVdB/WDB/PVziT6BkVQB9jDpD62Eov/qnMnTwWBo8uIBuDdfw 8uoFTL5+Dwtub5HUPZmHi9E6PPJMgVZ/LqLx6TTRbegmofHLgQecHmLOw+/Y eWwNVhioUIyI4hq1Cew/x4iHNzTiqWQoZWUNudTqA/Z0msjLhhPYvtiEf/+T 5WJjdV65psnDtmNZHxDOZ/MCqGFtxpvj3+DplwahOluFUksSMe+mBYdl6HBO cz2eF1jTrEKF/xIkTC1y4+qjfWi5ah1ivFN5qcZWDJEzYcnIHgxo7Sc5oJHO +eVtCDqrJz41bxQtW4qoqLgG109OE9vvd2fGyb70idiKdVmj6ThnlTh/qoMd v5nB7YIMu4bLosa4Dy/ucGXkiRgedliIF7KdxfJiQ+a7j8TML+Z4ijFYqdyK XRqPnEpy3ZjXYsL1xfsR/lSB67dqi59dAjCgdwhFtp9YEDxf/CgkR7wpok3m aTze1gK/+z3RInkuNp0yZHGHh+Y2duHC8TacrR3B6OXnJMEn+3B2ry2QDbXH yEUhzN07mv+0/anu0pkNz8qx4OA4ah7YLxZbXULd8wGcvyWRZVeG4UPqNTSc OSiuX5iGb4/0+dRtLAP/7caVmCuSyl5DhUO2Hf+1T6JQThDy7g14WmLKuv1b MGvNJRysHIwLg0rxLFib8o0KmH0zlMXBaVw1u0LiuduDO2wGdPS+D+1WR7FY N4NKjgeQ/n6RSA8L43gDA8z6G8ee5y5hotQ6fPr2STx6uwNX9FxYXhFKN4s7 YsKZlYhPtucJr7OY/qeD9T/FM9m+Exc8iYVjR332H4+C7icz7oou5OzsQvq/ 1OA0nf8k5vESdv9oCYNtUbyf58ztmzrx3ask9hxzURzt+RYXlvtAdlhvDh/b i1t0JrCoeASXGGhy6TVf9g4DR3QdSKnVqdj4bRaM/8SycskDJKdfFq7TXRn+ /KsY0kmXzSsEPc1WYqnFZXw2GslGjybErgykY/80Wu9S4eEeeZKQOyYw2y2N 9Tprnee8SmWrRjOknyjRQr/DkZ/K80zoIBYZ++K1UgfnfpTC/NIwfrAZy7Q1 mYx/n0BTxdF89SSCt1q7iPyNtUjPaUbQ7o8iWbMMn3oF8uJRY2b/OIfP0v1Y XdVR0+OKPHHUldYfXflmOqja0MEbUqFofPkbHLtE2MlYcna9Ce1vptLk3Fmc zU3llKSe9F92ETWlCnz47Sq0cuZjZt16lK4ZiWtu6dBq1ufRugzOizJm6/P9 aNlSAz2ZLsz+EyBmH3bihrwits12wtthGTQ/VowX+6Ng3n8Fap5ks3R+HC9d jKHKvo0I2tyNcc+vIHN7mviQ+gZNfY5grZIRHt/s2OeX4yBzLooHFfrC/Y6E 8VqvxbnbLnyXWcjwk4+hOvgygpLHcFxdgLjZvhtZ2zWZmL8UZVnDULvLn+cr Cphc3IAuy+ah7Is6jYId+WJJGOR2xHPtI2/2aDWmT0KNs8uQbyJPfQHkQhcI /S1tSLpdwP0p5ky5FUX3r9sQV51E26+9Jdr58nzvas/YPs9E2UMJj7QewL6I lR2zNYSfjmoyyu4PclZkoG1PIntX1iH9QyE7z9DBbIcE3q34JznFcPgdkuUz meG8+N8S57E2nVm/7jFKu/7FadVEsfpnBxPsO4WBTTH8kiFL325tmJsWDHO9 OKxrrIXv+WGIObUdNV6OtL6wEwaOBqgOH0irbmmUj9gnKW+7Le5KjLjU3oR1 w46h7k8PlhyaQunf+VTRN+WmyERumhSLJ2M69sgJA7E2W4+dYjeIujtH0H53 MC4Pi+UA025smfUSHws9eVFPmnbmh+F565pz3oElkJqtw5kLrDD20TvRvseI h/4VcnlcpdgZWo77O/P5YK8pV1VGMn78Jlj7mTM+sQuK/m5BQVsz3kab88gc JS55vBXXOjcjbOhTzO9yBXfeZnBTliylH3hj7ugbwmjzE3HI85aj3YmDqHXp eJauP+vOPofHg7nwVOlJO4OlUOylQs2oOPHOI4k3FxVikHR/pq4Io6ZaFB8O +Aj1lGYc1DTg9gAJP9pFEecSeFT9EL4manJLMKC3vEWs25vLHb2K2JSzRoSs 8mXAKE2R2zxBnNbKocrfPzCPUWKlei2qgjS5baeE52W7cVLQWOpH9eUe6VR+ nl6H4t7RJMdQb9lG5KdHcISHE5OGrxJ1f+K5z/48/HRHUzvNnpIif+51U+Gn YwNZ0urCQHEPe6Q+Yl/dJtyYkoTSPZ9EdUYo98Rosr1xm4iVsecytb/YIV+L /wbo82NtL87cks6uHw+iNa2DwSOPiC//0qBTtxg7vOowoWwy9y934U7fTixX NeKo+x6c1keNsy/K0kaqBko9L4it70LQFB7AtOV9uFlqBWwuBVIl5hNODU/l V/Ph/FxWQPmj8iJWOhi/2yV83N6D00snYYBqJPte2IxToxzYdtSM4zU1GRBY gyyVD5LLpY1iWtVUscD8IVYcWQVNBROs3BbK2lQnSkYeRk2XKXTrP5B/1d0R 9V2a/hfb4ewynC1qXVih2Rn317Viix5YKd3BgDp53PAlnfGtMvhRYsXlh11Z oTcMUUs0qXpTl5u/KbF8oMCsy3KSgXVenLvAkYl/cnlfy5I9y4/hfOw78X5s GsY6mTMO/fHBMZydw35g+pNUTtyVzV6HJZyc2JMJC15h24jb2FrZlw81fkqS r92B11ZVql5U4IcWXz68OwmNgT3pvcSVZjdX47vGHiiV9eIT2WBG31wGt8Bv OFJsCXXTsXz2fZmQXZVAR7tgEfKB1Jn6AmW12dSN+IHni4Ogr12OgkvevLXr M2RPOdMA90Se1xQu/6aKnu7plHTM7hlbM3pN78ctl/QZ55nO4/sHUqarKlMu WXFrtTRrJaOpEV8FTftmLPXaJfGd2pcjDe2Z9SOM298eh9+6D2h0iuPudlsO bn6G08czxMfSA3j8+DIsH0th1bFqdN31D08emTO1hwKndCvA1u9ZPLx+KCcN WYcuRwRtpVz5OqATcpYsgsTHi/a3sunQehHn5V9A9+EITrPeBB0pJz64oS36 OFhxncwZKPazg9aCUvhX2zGGYRy2/Dig1AaT6YV8YJ5KqRAv9Ch4CJdrA+nl 3R+DlDXYfsGMK+qMoFywFfM0VfludE/u/VfEXz3rMXeqAsNOOjN5VDzVP+oy qqQWVmX+HOw6hDWL5KDo15lhS2z5TS2Y1WbK/ChXjPUjzGimak8Z/4E8MG0I h06cTNdsa2oV9WFQcJWIb7HiOBkdGhjswJvO8tjxTo7Xj4TxaEo/bnMOhv/Z S5h6axAeaHlxfU4vjsqcI2k/+UE0PXuNF4P782a5L5OcOklw/ydWewzFVr8+ bPKOpEqXfYic242u+5S4U/IIxUP6YWLmaM7JVGPqjRxJWtUMSL8/jeK+a50i /gvA0+VPsXFkELdGWvOaaR0MJ56Cn7M8ncbmMMV2K8byFEZvjkSrtDvz+9kj 9W8odB93eFBODeYcHUGTrZXwftKJHnP0GXLdms+3WnDHo0JmZ1nyTQc7ufS0 wammig4W/IG/J7di24XVmLrYi8WqBty44hrO+rZiWqIHrcuS2C5dDv30p5DN TP5/zlljr8wNzdtxcHtgR77K8+uAryjt4M3motfwud2DaoX2GCWjwu1juzP8 2UK83nEFi+3f4e8UaRoc8uB0vWAuU81h/ajJrJ08E1l3+rL1xnFkvT2H2KzB OB5mQC0jR/yY1AUrTNw45fsqjMztQy1zQ27oqUvLuhEs/BzEXv9juN/HRXzP A1gbO44OE9fgYxc36vcw4cH962CnrE3zw/b8t6uTeD72heSTURb36yvw2q2n QvpFBi2evMGNLCvGDBrN9k/pfLU2huNPP8H0S6Y01xvK2JLOsE7JxxXpapj9 8GLukcUSr22urC335EkzC9YG+PLZ2j1wuzwblcpZ/GzqTsXN4fy515Kuw7X4 JlYFP9fuwqHTTqwycOGCPemITJBFRidtIea/dQ6yvobQvUvQXujPbokL8WPf YrH1mTZOzf6HDWELxZc0S3podtTkkz2+xluyWOu+qJAfJeSrfmPZ92SWGpTD M7obrdb7UJ+jqV9cBP9N6jw0dDIPahbB1bhCdD2pxNsNHzAlW4YPPtWg87gI DD9oBpOVAWxqCYfe7nMINJaiZo4v4jxOwKhsEndUt2KBXjniQvdDtdsIntLs Cf8Pr7GiXyCHhHsxfnIEC9ab8vpAZRaEf8epY98lPQynI/TRXcd0vTpspxkv uXbnzwNutFhqybIZcsJloD+9TnZhueFd6DSNpfBIhL3UY0zSmcSSk66USn8O xRmGsPzaW8zVP4QJ45cg8pMvj8kXQsZqHJ33G3D8i1D2+zAV84Lu4+aLFFQe L+KB+4Mw8pMfvQLnijZ5L77wFjxotxIWb/6T5LrocPkbExb0duapWQ6MUD0D 9c+z4eoix23HVVjbuENs1xpH2bUjGKx2El6KZpyZXI8QmGL12+9YNU+CD3Xp 1L0vx6bnfdAgSaNKrhy1ekxAquofJKftwZ1OY+F/M56X7uh37JppWFnryzmj BLS8srinXIOzNcbxbf4c8fBYLlf2e4LeGTZImtuAcybrMVjmlUjN78GKPC+u NYxi9qFCeoSOotUzKxhdq5Eonsikxqrr2LIhi076KjgqC0S52OFN0SB6qqwT k527cfjwrzDyeIPd/xL4vjGZ3+QmoI+FFX3OWaNn8Ryk357ASV0M+f77Yzje DuNiP08OD8rihcEJvHhQBZd/dWODvCYr5Z6g6qIap3j0wOa8I9i4NBW511WZ 5twAmaOuOLJeHlL1nSXtucUYtP09ng23w4KC7nSxT+O390NpvqU31xmp0vSc CY7t0OTvHicRblkmmZOrjWvvHTlGbaEI+RHgvHtiBq6qrUS/tttI23AXCi5f 8GnmO8jGNcBijzl/euQKk+cdHu0aQl+3cNEyKIi3LXJpr3ke8dNcGVLhiafj C1g1tz8btvbnpz5R9ChqFRvWOPPbzioc8QzlnCXOnLp6D5ZZxHH2pvWYN0yR O4UJrxy/JVQuJ/DzYkuq1tjx7ZkyaFc/xqpFXbBbvS9fbxoIe+XXuJQe7bxO 04py1zL5I68LXZ/3ZP4VG947asJOjb8xdXowVqSCc683I/ueE+WrJ1PFwZjW TyxYn7FWvBsbxQP9knhYMYLhBwzpVetKg79TkXpvLF4/a8brohRW9CiWGO/M 5QrVhXgiP4lvJ+bTpmU2nKo9uP80uHzUQEYtmYCoCnUuKcoTI1SnCqubyZzu NQO9n92Hy9JojlLswhHOc9Fo8An7DV7jf/9pNDq8B02Jg1hu68lnN2/Az/C2 2NgtiCeiCtk2/h52mATQ/VG5ZPrw4bTUdqHSpO4MnmHNA0eLMcTwOMrarmNb xDcMsIrms2O7MefseRH26xgO3xyKFz16M6l/BnWzfuCUbyl+a+jxhkMlnM+l sG77VihqbAGt90k8fw9l/Y1YYdrdg3sad2BP2UAWn7Kj4j9/1nwNZlb2EeS6 9+Unl1hqbTggrOfk8+r147i2vQhtfh13pjGF2V2bMYyFzPnZhgt/BjHXdDxH 7NuHj45FzD37n6jd4ytGeeWwu6Uvbq9V52llGS40uIkohY0YN/YjChzIzRsc OOPbV9Tq6cJw1RqR0y2Sh+vuwPFWNApLLfGj5hYuj/ZlrP8X8fq5O0vGevN2 n2K8Oy/FmMeC1nX/oUz1F44dCuQlN1c4XpUw+dpSPNB3hGHTVEj2ZaFS6YIk 6UR/pDg7MkXjJzT1elJ6YQKH5nXnAKe+9DnkyC3bdZlaEM3BNeHY7Nqf9nbD sUU6gkVLtPnqrSNSyj9ix1ILfhhTDL9bw2F/vTMHTZ8HM5l0Vhp35bOhNrh8 6ii+ibWYcj6CV7UXwalxCHNbelOyS4bn3/eh/O0FqDauQPdlY/mtypOneyRS f5QT++tOZsRsAz784007Dyuu+mvHgSeNqTFel9W7D6BfvIIwMvGjbZgZY0RP 9lyRQfUtLXioYCk852nx1u8OhihaCOvyAl63NeWAO8UY1rsYXVriqSfXjDFq SpJt7+VpmeePX2vyGfvzMiZr29Hx2EX0+tcE8/vzEdsziuHflMWuEalM327K V/3UaeiUzX9jClmmp8VNd51Y+9sLbVJL4O/1CPOydWh3NUJy8I4yu6ydgujo AYz8/AqjE6X4eksihaEb41M+iq9SEk43EyxotsHigjh2GVaD+nofpq6ZRNnA fSj+GsL7gwvZkpnCafLtOJzoBstJA/m7oRVxbUN5LGkrqqZKI7gjX/cqfsOO aHm+TC2g04GTmLF8m7NzsS17/Mrhwcc9cHVZBwf5b8eNuSNY2aTKKY+mizTf MkiGF7GoIpJvfXbj1XEnLtdw5INzvThU3EAny+HMtZmB9AMOsNc5h8XXJvP3 7feYX11Ia/8kllm9x6HjjZJTa6P4XtudPm+8MFDVmP0evQNmXMdqnzj2CCni 4sRiKJ+azMzsBCq8NaGxzXD2vAWWyL9FZF0htmrfET1ljuJ6lRxtatsxzuMw btl8RWDraI4YP4IBJ66gLWILMruk8k+37YizX4OfTUP4+9B8PEt5gqgrS4Vz 6nVhJ5vi7BA+nmrPUrH9gSJm/vqOL2ZpHPDvDi41FrDvQRlm/NDHQu1wMWDV RjHuqQlf6QwTDV1u4Vx7X14e5MLjU39jSPcEql7ZhFcDgynbMpx+jcY8a34X VinDsDxiDzYqvMGfs0oo+W3Ef5H5vDmyEXkre/GdT4N4nB7H/LNnobNRgSPa 9LmhdAy1NU9h/+9BrIz+gVduy+H/nx9MsrVp6mdP640mPN1kyr92iVy9Wpo2 8x/jV50C/7w7gBHqtvz+rT/LWky41l8FF0e7MXZpjXPFmSlcHzmEb7AMixbt c76i4gzPc/OxYsJjmMXb0i/RGiV/TBjR2o+NCpPYnngF0dONOdTvKGor8jjr 8Hio3z0mMo/K8ltsFVxaY7FdoQW1l6R4wKMbFuvKo2XIX/h0sOVI706MM1gA 85oxnKwuQbHcJEj76KPL0RRerVbEsvn1CI14IsoCLDj4UAfDvjZkqNREHHyo ym6bI6iT7cJT5nsFy1vxqyqV3m0tuGJ+Fr8MjHl/lSxSq7fgVPVgKA4fzwFD +yA9XRm74vfBWu8m8M4DhnFmXPMgGJGr7XGiQI19M5W42DaST6QCqfH5E2Jb jTFDTYZx89LEVP0v2Di6DUGK0VwUGE29YwnYpjUTO4btxdX0z+KQD9gybA42 bB0umTXVjIWRR7Dk5VL89OvBuY2Gjn9eKFGU1WLfqQrUb3TDgPqX4mSzLKt7 htD55TcRf7ECtZOtOCPkMo69kSBmbXfx60CMxLVkE7JO7BIztg3g5F+dqDJN istM9Disf2ceNZRDTMZIKt+xgN7ATXgz4Rd2Dh0ufJ924ruEQtilzERA37F0 76EJ87o/6DfTmrKNe2BXoYvN/bqz+GQFEn9G0l0/lp5blsHrdzWGHC/H90Xp 6GtSgZeHvKAxpBNuXi0T/40cSt+ZSnA9eAKT5cZgO/TpuOYhhke68oprOL+f MsLv5A34mziaF2bsEC9X+GLP75+4GuXI1nW9aZYayC22Q/j+1QAuGzqQpR/C GZHlze5V1pyqmNHhyJ7CJKQa/U41iKfBo6nTvg3Tf7wXt7XuSeYUjqbp+WDu uDYRJcHBLPfSZ1pImWg8GMoBR/tyVKIhpfuMpOuFdvFpdgKMiuS58d9YWKfV Q/P8AK71tuQVWFLTRhEjE6WxU4Tzz8Y3om1GPZZcHYCGDrY2vP0V7/+OgIZa Gnc8+41Bbrlsm3kMu2xs0Bi8Ej/3JsFqVSIVd3TmlwOxXJtjz4MFt3C3zZK2 rwZzj1Qka1yHs9I0hloRy9ALv7DpzCYYzxecf2kvVl+xwTz39ULI9BM1TRqw G6fIdJGIB929sHbMR+S9cKJMRA7TqmK4b0u6U+L1bdB8PVusBPhjTGe6G6wS Q5MXYU9lOS4968lRc34hbtx17HsXCfVbGlSZ5Aj328+h8TsS+7z7MCB6MrLm G4lOJSsw2yOXZjovRHTKaKbpPRCR0KFJ+2w0Zviy2UWD4UHSVO/TkwVDO/Hq NFVObHvgdDylGIeMtHDgnbK4kicY2dwF+5ZP5svESQwq3wrldcOxY2sV7CYH Y0roJvz50QDtXfnCIfIQWnz6MP6eLhYc++n8x1iw0kRwgr8Ph2Ysw0NNMzEq xg7sHYO81T689KMWz4tWOe++Zg9J4mR+e7ASPiFONN6bi6x3aZh+eKP4UW7A VLW5WL0vkGsPGqHglwslnSeyl6M81nxWht2OORjRPJJXJ8xG16xcah0NYeXr LdhXpIgzC+Mo3kzkspiT2FhiKtpLT4g554vYXXoFdIwNcXmvMe+8mEijtmK8 TRvEbtmR3DXWjL7uyqxzA8tGSJh1p4D5QX/xtDGJDn9eY43US/ikejHCZ444 PUSXp4zrRcqySP5KN+KQu9qSby/taL+wFhP9pkJWWZnvh6+EJK8/B+iHobx8 LGfLuePIkwlw8/bnmmQ3Tn59A79X92DVLmXO02vFCJdOqMl2hRidyESjH4gr UuSpX/3R91sdBt9zoLPHXUng7Vg+7JbNqVe/Cuw0Z6unDfrWtOHPqzDEDYjk stT+bO2agYTSYXQrnSWCLJrFi9k98K3SlJv6GaHbeReG219B3w62HyGVDWfd YC4++BZ6I9KZIpuETX33oTr0GEYNuYYD3zXAPfaoPHNeZCfEsNplLgz3T0U/ P1/sb+2La+bm/DL+gLh13RCZMj8ht02Pc0Z/RmJDBI+WLsWy9d3o3TWVoSu7 8meop3D7acVny/TwpFiGKsdnY/LxRhikFfLooy5Cz9BPLK4cxEPXyGHmndBv 12wMylGhlKOg3I068TjpHBxHD+WQXDsGPJkq0g2iscw2HYtvTmFqwCDaD7Tm qaoZsE2w5pSpPWi00obanb04fFU2uy3teH+XJtHQ4s0Y/0CUia5sOGTJxKF7 8HybMz88Xwz9+pFC6pchDSrroTJfhbZvhtG3ZBQPrVBl2VwH3jg3hZM2lMBd Ow33jitSeVI7WmSt6SPjidxoOQb1NWeNfyrGTzdC07jfogj3cHh7EEfIVyCu p5tk/9xpaH4RRbtbF6B9JIStvSdI4J2ML/tjqDqhiOeDv+CZ8ORy/xvC69kC jFPtiuyvTjxYHQ+NuM2Q2dCTrRmZ9FHeixCHnpSNMaW3eR7n/lXv4Lo+VFfT pU+zDM2cloiYFcqsz07iPG9fsShiA170M2TSvHP46pzKebGL4JETTP4oZM29 JH5wlaf15r5sOG/Bgl3qeKw2kX8bLGj85xBivm2AS2U39pLqxtfu3XijdB30 St35b4QU75qqY93894g7kik2XqZIOhLFYcbDGBkxG3/fydHyiA63+07g1+nh HblRjJ3jR3JIZDfKV2Ri3pYiJryyplZyGWyTFBhX7M2hditwXK9ZeAx6hpDu exBltRxZp4bxb7dYtJzVYkDeALbHOWPklVjRPWu/2D9XExu3g59m5jElYzTd Jy3BhSYvFs/oRo0e7txjksfdAzKY0PcYDOU2InysDIZGu3CetTeVpTM4J6Y3 nxc3o1hZihND5Ngm40s/vSGsaC2B//EOjlfo8C/JaDrHGrHbNQuWrE1n55Xd GFbrzrPvfkiGr5yDhU029A/qDzezMN44uhtNB2Zi6z5Thp4ez8cPvfnYY4fo eaCI7wKa4D12l/A4pEHXfnlCVzeHmz5XomqbEeM62OZptplQMRzCtWjF7Joc /jw7hFqXbbjxwDcctPRkYXc9NuxO5rSKwXRvsmdBiSwaMqYh8GoKqtyPwmdD IOdd8GBPdTmuPVXAY81W3NWpFbfv+aJ8SS+uGpjDw+kujCk3o6TqFU7P7MUe XOg8ano4yt9L+EmyBMkP29FkmUqX+i+wb6xEcZkvN4xw5s2VRnTMqMTWhZqc oz2S1wtGUnHDOK5SUmHw2lFC6V4Uxt+3YqHpPtz+8ALSyyuRuhNcWnNGsqC+ EkFXDmOcwxah9nI8jXNd6HZKlQZXhnBIqwOGNyhgXJCUkOlsToXe8ShYIMWP Gwtp9e4j2j73oUPMEqz7kiRO389n1V/BXsd6cfipnizea8mYyUasSZ6I6t11 OGku8OroVaH8IYpHm/RF7YMw/s1fAI//+rH6lz6vz5fwgk84xvRL5WatcmT8 CGFUbAg9F1+E3RplunWOpKRyvuj8+BYang5jkJuNuLihL3MtxiKjg/U9Z/Si ZHwjFk8xpfSQk1hsDVYoeHLxKX+e3qDDEbv/g/LSkQhubEHfRwWsXj+Iizqp 8c/bDo4P+CaJiFkPzexcVgSOY4+kKeLKoT14ssGb2z8XMmb7eP6d406lIsFD YrbIiw7j1rYxbNqfxNsO9vzxzZI1nra43+jBkhpvur2IgNqliVQ8n8GJBw9h 5vW92P0tHfJ7Yqn9U5qlocO4rsc87E1IZ8irXrTzbcQdvUIuWLFDkrX+tpj+ cwEKDeX4cmAgIl9exnoNHdz/ki9sJcFsHiLPc1p96OetxVMXNwlX1GOwn4Re t0bi8oJJhLwUT9/pzBf/CVGk7UKTR36c/yycqSpR9O4k4RTHfE5omIjsZ/J4 q6eNmVc6+upLAJz6BlM5QZ7L16fRJ9mVZ01K0dqvK0/6zMJ5v1RaDrVnWHcV xP+So0OkGZ1SCulxcBTbDo7jSslq5J75jlzlMOc3Bf25bog3bTvyeVXmGvzo 9AG/nL/gQ5WdOL76BRLS1kD+ahKy8gUfDZ+F2nEL0LREhUdHRfPcqAIcWp8C lQfTMK+bIascM3m4NZxtk/8T1VL52D1mG5pCwd3rSsTw7DV4WL4JW+WyOT5C Q6ztexKvFyuwcddMsdpzA0qW/BZZ6904U6UUr/KO4uz0FsSrTuCbTnkY2X4W SS4V6G/cjs0Z7xEdchCS7mNoGTeYHxX/g9Ehcw7K0aXtNQ+MkfNjyhETJhmM FQsPPRFnPQJ5a9cwZr0bgb7vqjA/q4COwzzYNmsjMlb5sjD8LTQC8ylrNR31 I2OFbfdMvvuWSZnereL8WQ12Ks3lIcOtDr3njYfR1TRmjAujfK8uQq1ckWMc 8mCyZDrOWfwWDnHj+GGWA6decePjZfLMt9Bi9ZpQtFRvEvUh67FDbRh/r/fj 518TaX5wILekZ6Po6V50CdLjo1OZaNxuiPOB6ry4dYOYNu8iJhcn0T0kidWN enROlKde+W+RW/IY9/t+F5d8wvlpggxrdxxErus8fMgdhKZwN4xZcles3O3N YykqbLfumEXzb+KL+hes29aMMaXT4DDyARI/vsfmlSew6EgUDJ/250DrA7iy 1o1ILxUO5/9hlF4qL/e0ESM3GOPSsMlMU/GlhdEhPFimxMYOR9aJWiu8b69D 94Yq3Nlz18mtoZBdF2hjWlsOW7vnsNgDTEyJEi3pc/FfhzPY5utzttFkHHVU 5Z1PSzE/bDvq51tQRqMfxX1VlmdbUzp6Ki5Jv4Kv/HzhLa0Kl1t2wrjTAywX F1E5/yw+RoyjQrAJqzq8e0pCA3Iq5Glk05XDtSLQFgs6eo3n0+0KvJk/Q6xY qcitpiWY8b0EHw7IMk02n1s3G+CBwyax3q6I/q4BWOZVLAKi5cRnHSUavpsJ PQNzRg+zZ2tVujjskMKungmY2WUMdzdOQb6BGhRXDWFKsQdtC+eBi5VYWmzG fNtsVl3oR4ltGj4sjBNzPg5itXoTXn6LY01Kx1kVRmGNuiJDh/Rn8sVUscHD lYp6cdg67694lfIbXuPa4LlOgY9UHPhEz5ONsY1iQ38XLi7ozuA1YM1cbaww tObsUWas0sviK4NHcAmM4cYfXtjz2YT9nA7iTE0/xJxZg4wjHmxo0RN6/+ly 73MlZjersM/yufhYoy4S9pRhe9Z+jCvTYnzEbyxYoyVa73+TuI3dhD5j62Ar 7YecJ1b00zJgwmNLdg5biJcvRvHuS3VMuvdH7KvO5fy7AchxBCfen8LkKyeg 2t1McsRpPLu2G1Ep5KxY2S2EJcZPUWhmQ7m6XPHI6yzODr4j8f3yTLx7kUyX 1zbsOuYrFhW+lPiYKbFuTwhmNFlybtseHOqo2cTmBrG/3o03ze5i8owp1Nml Rs3py2Bt+AUjV0fwR81V4VKgx3O54fSbG88592+J8hNPkGLyCUGfzBjqV49n 0ZfF3EsG/O9vXxEU7c/BoyRsePwMDfssaDijHf2nxTMnVZYVE+I5erwuog73 FlJhwUh9OhY+Cl3gs+2kqJC/ISL/jsG7vQchq3YPXfdNZF/bJzhbuxLPpbXp bp6C1dN0+KvPJGaWnJJsjbyGaXek6d51BDv53YW+bE8abJKn07BsUXdotUQ9 RFEs06oTcW86vOiGH28dzKRp+xPH4ymyPB2kw633A+jdfQq7mBvw0xQ3yl8Y xHyv4fw3yo7LrWdB9soI+JvOFSlvpuLNdTt03xtOLBnHy8ma3NowF2a7h3D0 7R8iZpAXXF/7sH5Bx902RRFvUhlXSsrsTGbRkhQ+VZZhuXk2L94Zz/H9B1Gu LYwB8zRwRCWQrzTiGfhDA/fHfOrgns4sPB/JaYpf4dd5MtEvj5kNWjz6ZQns 3Qfg5OfvwK4jYqnKPEgeVmDMq/MwPGTLXrt94LJrKmIeqWGwRjkK9A7CVccM O2xnierHF2AtM567dzejRCeBJUjGf506MX2ONDut63BvvRysKXOm4o1laNFy ZkCwLm+3S9DSxZCxP8M79tQ4JozWEG6ZS1FwfyStZnZmleV1RNsr8k6rKyXl 5si41/EckyNCtrsdp+zQIA1DuKvhAj5rn8F2o1CKjCMYGVkC6e+74arrxyo3 dYm+xljarO7E6BuncdNBwrcrGxETUsjz4fH83Voubv5bLJKPzBBJDp54Nb0V 1FblhB/j8ao2gM15/v9H0Xn45fj9YbyhUiEqLVLSTkWk9ZzrKpVEtDVp70Iq 0hCykpEVGZE9khXZW1Z22ds3I0T2CL/n9x+c+5zzua73+/W6n/thyIfziHuo yCNyflRaGE6rlfVQ1DqMl4bDafZzH37d7suFR4cw104BqYEdaRQSwbK3udiT 8QLyAekSw7xdkuQ1VlznnIdDFedEneFqfHANhqKOtuSwrirzxl1F6/w4Zl1r R7dxUWwzq8W6eB/2qYrigZc3EbJqFFeYyVLhQhJrRp1AgV2FONQcxET7RzhU GU4zcx3e+7kbgcWV4mmWPusCr0HyaSPkDeYhsCSZzrZhzIlyY9ukPxhqM5I1 o1cIl3/BnBERwfXTHyEfA9BhrhUfvU3l3SRz7Jw1HvPCu3FuWp04XyAQEvcL I9tsuVQ7hGq9TTh2VhFjBo7kAg8VEbBlKHJVX6DcsQa6FxN4dWkf5hT0RMZg 6V3NMUD8QWveP7wPSTXlkorV3VBw1AW6wydz/Z54zhrRSUS8PItDO0fytpoZ O0VdxYo1+3EsRZ0a45MZVftWqJT7skvVLFROuCzkPb1E/7tmvNp2RbgfNWf9 xQ70vVgjqQsMo+WaIlotrcKnmZM4JgscI/cHe5ZY4O+cUmhYF/K+TDOeViTz XLuGkB18G0VzMyHZPZohu834TBhw4ekQWthlcU7xQ8mwRAX63U5jtJMcfsYd Rd2pbgzuE8bIBZUY+Cmf70Ly2KI/nGptb5B/3ILLteSZ1b8PLRuvY/9HO6bl LIb/CycOe7IeVr4+dJubyZp9PXnitztbX3nSO+A7zi8+J9xXOXKgUQSDnZzR PNFUWKcN5hjPAxLn6YvQ9cB9OHmFc9dKB3j3vyyU8h5gelIo/+WcQyenfJ43 u4pyQwn/pVehoSEAD25VYZrLQozTm8xe8n4845rLCQ0R/Ol1QqRPGMwu26V+ tHwQdV7nMGfEE1i+jWBMYyHGBPRh/JqbKF6kx2/+MzA9/ANmL8+jk34+O6a/ wYtFvlS6pUd1LRdWbdopUX6oiuc7w3j7lxbuTtLg1uPJzJs5AI/35VAueJdk lcwXdJObwCNLfkuM9cdAN0abI06ORs0SX/qt24Iwj+6s8Yrn4M/pbA/uxl1F RfxjkEKZv04uT0zGUGGUE6sHa2Pv2n0wj7RFtHko+2/uxlvN9kjKHcHyhQOp d3mUlFGdccJoM8qC7AETE+4NHs6occH8+U+V3cclMapEAQ+qmhGWAipmDmRZ 0Fbs2zhZ6ktKXC6Xzic/qlB8QNpPJRl8tzeXRyiD3qXS2Y0bxx5dC9hzZW92 nRLNXpp7Mc36JiYr3sH2963YZK2PjhPHSc90CXqt7kvV66fxxrSvULx4AM47 zSGzx0Yyyws8Yt+JL/d2YGL8SFgGl4qmRDvOmdmCdSNmimcdjovKDsmSK3e8 afN3KIutt8Biy2UxfOUY7pQbgo2V54XXxhDOrN0ozYVf0O7TLhQXunD0+knQ dHyGhvQfGBuwR8zOi+eWQboYeNMYKVOUsPGAMt1CjkM1VR2VU0x5+sltmKdF clCwIZe6u3KaqYrkxyhtDp+8Bc5TpbyxYxxavo/nuUPK/Cx1PxmHg5inPwNB V91FF+lZPYl8hzfHJrBroymMF04TezdOYsKDIoqbjjQfeg3DDEKhVRLIxXlS R3+pT3VXGdwot2IHUwde6eLMVxelPWa4Gcvj2mAj8xGani60e7EMCeGGIvjP MvE1ZygnpT+Q3pEirsx6D8MEa/xT7MR1gd3h1uUr/ALeYnHscBxKUGPGFF9W fYnG45IlWHzBEQ8Dbbnh3V+UdJ0PzQgPfGr+D5NnGFAlMYxLTp7CtN0DOHxV u5hc1pfXXZ6haasML1ZaUr1+PdZXu/NJ1XN8698fMwueCuNfYxj6O5mnPk8V 8dvNuU52Nh5/moOrJxphnflU0hqaw2Fq+WxLuSr6mA/iivbe3JV9RJwb1pOO 6+4IjTJ97vicxaYu6pjXuF4yc2AFShyOuCzKDcWLr6li6dZsXphTjGhlV5xO NmZxnzoUXfQW/05O5NdvFbCPCpJy/Cbc+CYvehxdiSNPzBhVms2oSiteMpKj odlEGO2JxEfvLhwz4KUY29UIC9cqslFnJkom23PYFV9mvfTgxqYbYo35WHQY m8v2jd2o2zwNmiN/oV7VgneWzIKJlQvi/q6G+4AvMIjpDP+ERqSsyeaatjgu m9CHwj8AwYmbRXiKJ4xXRPLI4170uB6KZ1fIqtDtuJayUqK8I5FF91MYGrpG eJx2xnYZGXa7FEm/eeZc8bYW+OfK+vIayUX7mbidMxT99T15OFxI1v03HVa3 ZmBLbQT9ohwYfDaZq3tMlVjazoTacAPO+deH9qOM+V33LTKWlYjEbfMxPmQM 69r70q13ER2/duX6+aEccymCx+0ThNVwL8JSFwerdTl0/A6M8C7G6RJ7vjnh xQGe+fTWnMjY2h50StTj0vZQXHAZzCWFKgzSm46yCllW/F2AJbqDebqqKw/c 9+Lfq7PgttCMx+YO5M24SfTXKUNE/EfoJ9wW6t/7c/nUVei8bjDe6GVzc+54 3nVWZkRcFp6qxfL5YiO6/5UyTOknLLqvR5eTRUyrFtCXurNcfQ+ufuBIUXcR W++dweelexGedwi275XZbvkVTu4TaXBpLVybJ3KD1ygu172M0VM+CShasaq/ FR0LXwtnj2FcnOPKLd1z6RsTx08nwjEhCvwm3Y/kwv4I3bxGUh9uTtv5mRxa 6cUDq+2odE+Tk1JV2RpzA3KXi0SZbxwO/GnFmTvj+LdvIh8HNKHn2Blo9BnB /9SyOaTnejFnogw3HS0RT6bl0TfuDs6gP/oP9uXToJGM3q3J+zqh3PvtDtIu mnFAmAecP//FUWt5/t6bQIeWWSL4Q3d+surB8qblwmiVMXf0DGTI2/68bXQO MTBh2QdPmvSeLwIvq9NhVTyoJMM5mj9w5/lNIec+ipr7yvGyLJhup8az2+/t YpUoxDtJLVZ8jsK9+S3Q9FBgZHm9ZNSVHghVyuGmsUTL+hlQTPiNlXlJdMt2 wC3NkdBeHsClndw5ZqIZd332xTfdQLgd7svCx/6cvj+AZYePSnNrLZ5sfwaZ WdL+8xpED881cFYbx17LpPn1JZ7TlgXy4s0F0BhGdn+SwraaJHr/q8Uqhxj4 RGhw39xIvtvwED+fFvGle6iwf+7KI5fXSR3ypSReqzsdl1vQ/vR+KYPMxuTT UdD9qQ/NP9sx/7k1plqlQHuQGrvln4Wv/Qac7mXDxAYPHq+uRmrrLmw7d1nS 2npa/PonzX6ZbPKzHR2Pm3NH6wj8VdosTitr03qJOofNq5bYXFuCWzdyWNKW z0zTPE5Z+R6ycGR18UYMd/TjjanbcX6bKvON+zBrazkGDG7AyfvNopfJaXy4 05XaVduhMseJs27o8HiAGtY1d6bZUA/eC7Dk2n55bNKPgMzmXZInUyZx/MUh XBwwCDPzU/g86S36p8UjaIQRj/17iOV619A07R4cpg7kwYcWlFldwLAMb27S 9JfsbiNTn4/mt53/4WbHB/B91oly5qdxOVabgaIcHZfOFvtXxLJbWCz3S/k5 WOoVS4I1qbP5LtDUmWcsuuC7zmgu7EcGDFqIsL39echpPj5fnYDwW7n8NKM7 o9Jf4ljaPBEMT+b2niV8irI465IDh+krIKA9D2z05281L25a3Y1+saVYozsb siVTkDTji8jvMwHjDwbTytyR5zK2irHSPD41PZUbCyazxrENH9NyOb4ph2NS o2BQkiBm2TliaFcNxKruERpzY7m0bh08bU15QL8bLie3CuZV4W3BSL6tlJ7b znr8VBrHfdHrhNebS+Lem/4sNepCNdsYyglnZCmaI/15MI9/VWL2lf8z1Dbx R8aXpU2mNJNy5uj6j0j+9RYGqrZ0/lSCbi292fFUV7HVWJ9lPR/DwCGNa8ws aFqgyAe/nsM/yBhD5oRwRUiz+FTnTl+b/tiEQgxdNJjd2+Q5sTKP3Y27YNrG YK5LKEW7byduTtZj/JvBVLw/E7mXSjG9dC+eTYmj8vPxvP3pJAqG2LBhyAA0 tAzl35dJeKgMnmraKu4vVWXiuePIuuJI/zvfoHhTmU9mDMaiOn1cmbxK3FB8 j7qJJqzodw8pBTbcvF5w5tspHKCnSL+kUTzwM5V9XxTgknMcPToFw+ilETfE lsNi1iXIdDTB5wXpIueC1JEXDWPcwWK8r7fAKKtAkeI1AY8D1Dju0FQkTO5O tRGCt0zeCp/lfrhd352dwrOhEFHEb7svIWr4L8SqpGFBQxbyYpxZ31wnRi2d CeWGPUhe780LJWvgYN2VJ8vWIrCTEhZJOTLmxFCmPDsqhq+YJ87oBVHnSRPc Z0RywUED3n+RwD/HNkHl120UDovl+0t9eb41gKFuRlC7cErcfZ4H3SG6NJtl xmjFMHR+25myOn48657LBy/80S90K/Ku+LDacBY+95dIuaM7E6KtYHnuPxeH 5dfg0hbOWMUDYnPeUxx+vBqDV/SncaSHGN5rD/51eylCpB5xu+UstIOk+T/w KXJkQplTtQkJbrLcYhnNzK3uvNhbAsfZeRxbO5kGm4bQcms9Wm/Vo3FSLH9+ 0+GqH5k85G3O7lrPECIzB0dU3XiuZRUkmYZk70L+M96DuXeUMGllZ04e4Ynd zX2ZbRiMgYn9xIi3utRJMaXG0CRqT/6C6CxrTisNoc6C55i5pCcrw8bwu8pr uCa50e5SBq9LvgJ6c+HaNIi3WzeKSZe7Y5n9Wqg1rMLE7/Zs/t6FX3VKhYGt o9AI2Ip7OqOYqBzILsFhbN+vwA55M9D2057B7VMRMnALTG/WY1+VAeb99sDX FgVJ9AVtfpuxTiifCOeZ1gyO/f9/cN9Yg4vrzGga7cWj3+9L5B78ljxqnUSd j5ms/u4rDaMjeDd2jrhen8vM/dmsKV+AnaZ2XCLNpuSxBzF5cRInZk5i16O+ bHRIoqzcGCFraUr3mb3w6JEGFnf0Zje9ENwe9hnaA8sljcOjOWDseZi8fCgi X8px0UZHzjiUQtW1j3F8bhqPh1yD/Q2pB0d6cuexSVCTuQPVhnyqWQDTW26J bq82YvwlNeZdbJecjYlnuaMZ60MK+H7oamw54MwxQ8JQWvoEwW3GPHi2M48d y4dy80JUh+nheOcHcF42D3O7pTEiSY4+96eJmncatHfzFoaBYzny7U8cnuCK AUe/4PSud5hZtFU8yQjiiufefHetN8/3lBcnFL/Bd1AUHwZfkTzI+IYI3Z5M ih/HPZsz2NOuH6YXqOHYKke8umbNILmvaNrgy2H341h4/5PwL9qE5e0zoeBo ixd1GVCWXS+0b+9AzcPDwifrE6oTzqJkiDJtu092vrAvkfr1Afx+tRM/bnwj dh8YJg5VOeL4aimHb/oPqWNUWWsIQsaH1rWn4B+7TfJvXh66RRWj/a4eTfW+ wG6THgbL+4pJ85fA7nAdvLuew9HxUVjZYou4YwMZ819H/pzuLvk5dxgTc125 Ry0Ya5p6sfGuGueEX4RtsSluuX7ApcYAzpxjxU6Oprx1rAYWi1I5UUuH8ZWe yCi4gcrGWL5IC0FiyQOcyz2LloZlwLsk/tP24rfpMpzqOgNmER9hNS5d5Lp3 Z+suWyx8/B+cbF0RtDKYnR93Yb8cW15PHs6GlxMZuLcHL9akMc1gIocuSIH6 iRB2kf2JQ2MHsbH2ipjoacfwWFcO95VjxiYdppTF8NrpAcz2zeXAhlViz+gY Ln0YwOcz2mARfxY/zubSzFuJV/VUqX/aiO8cV2NdiS97Sp6gOqkf45ePZ1TB fmQYtsEusjvjT9XCekkyb+6P5F6lbCr39kfe7M9iXE8P6kxNoCRTifIH8lg7 No+ZNv4I883HFym/3BhbiXcP5Ni0KJk1c724+ra7WBE1A97KC1Bv8BVjxvfl /tuBzCvTo85dK0YZDmaK+mZJH6UMjrYZzbExQ6n/4S/St3jzQ3ssb15O4bcI X8oWhIrDr9W5uDWV7s8m8Wf/tZifO4E5q3pSr9Edt4Y7QtPMBr1U/VBlNJoJ hx3YqXQcBshLWXrRVqSeMcaWiFfQ9yoke8nwd9IiBO/rShtVNU7e1ZEHW18i 5uM+nNruD9XNstR815POI3ryvcx6+Haxxpl8Ff4ymi5u7q2EX3MpVt4JY9Z8 RS4/aM8/wop3MlWE1nlHRjWsR+vzYCE37y8ih57F1TZTkdiwHTvCfWhyJZt/ X/hA4dNYzBgXyDl/N4nT6yxYXR9IZA5g/d6LKDh9QVy8eRZrp45huIwSeozx Y3VGtag5Gsi5h7ryuMlIEblclf/di+Cqh6rs3D4QW71Hs7j4Dob2eIp599YK 17G70R5ajSPPZ2DZkVOi/7ltIiXWkHOdmjHw9gaYHPuMW3527LM/jxOTc3D/ pD+TDgbCZ6QaLT0vYsGMMJ7V6MjFO29IRiws4AfV8WJDXBf2DZ+O5Ms9eEfK xnd/tkJz/jDq/y1gjwly3JF6H30z4vFf1T/MjDUSi3ZfxQXng4itOy/RWqjC Bp8CTpM9ieGKhZx0oIh9nlXiyM2unFg+nmutr2GX2y1UKMzBlXVRNM5+JNSz LgmtyZvwe+sLSLZMxHN7Tyo/00W36JUYECWLRcv1mdh7FD/0G8BEhe64eaUb LKqceHZPLQJu+/DeLy8aXI7goUojLv4vmH8Kz6Bz90Aee7oRrXcuC9O3zpwf 2ygW3Z+A2rxwnr8Twxlr1F1m1DnAfPYIunt+hWNQf0bPkmZl5lhqBWSz0qkE ERo9eWnzRAZ4+jCzaTy97q6Fz/gbkpYn/XlyvR6+nCpDXksqh02ahm8V7ehy +f+/p1Vnj/Z83mh5iYao3pLpDT5c6fUbMvtWi4jpxlzwTBXeA+XQvOQt3JOX 4/XwQ1i1x4ta34KYlTKUL+aF0aAaksIzqlwVuBUJKcXCfWFXllzfgnaVD0Jm 73vhtuQ1CuX3i43X06j0+rRkeuM65HYklj53FmN6+/J9pg8OWxVLnbw/aipv ILHrddRdmI91L1XJ2FbxaUgC410UMf7tfKQcXoSiPq+xp6gK8gpDhOH6c2Lw vDpM9VDAXcdxPHY6mE2/JDQKsEHXFukarfqx24o3YmtcC/rm/xVO/W15uFMf aXdVwuvgRRgMrhCXNOeKmZePYEiPFfj+aBqmCg/eqHDgwNJc8XVaO5pmRWOz vC6z7eWweViJeGE/mZpmscjND+WWOBPeChrP6S0W9DAbgYP7TfllbzpzpC65 600uHWzkGNQniF5bDejbsh9Prn+A3bAp/OVgxfuoRnaCK21fd8CbT/4c7apI oz1+TFr1BGVeujRZ4s/APt14S8dBfFfypFOAPjf1SuMTmwYR8HAcr9/8hfpd Kdym3IQBc4cz1NiWB87dwa28ZLa/q8enzZ7c26RLz7V9uM3TgEbqR3G1WU/g vTxXmfmKvyNVhXvnSLg3SPvBLJ5KG1x4RdGZb/Y/RWGQLq12qLPqdDJmj1Jn JyszXnt2SszZMAu3Alx4OkWLl2uuSureTkL23jVQ3NoTvzcHMtRkJrrv/i5C pLMw2jefM1LVqOB4HxEWSrhYdwQrtvdErmokY/+1ocTBlCPuDOZ42c9i0Zhd UNlmDr8CczTbaWKSeTrkvlVg8dJuGLPvoaQ9sw7P8At2YQpMe3YEk0o6cNWS PLp+CqfWlT0Y56WKz+u7YkepK38Mv4vawdpCxj6Sa6Z7MWtwFN1mSbt0qixt YorYP3IKa72+YmhLO/54BGDw3ggml0Ecn5bBxkOd2VlBAsXJrWL1s5F8+s6B 3d9FcoPlY8S9Oybqew3mgyXf0atAhmfDE9l5WDqS2ywpPzKDD5YOoXxGOJ7Z xNPAo0KS9NAZGo/nYve4AJ4tD2V21RQ2HBxK95hYjEmMp4XSRE47pcWxJ6LY sbMJS9Tv4GmzhHIJC7FljTSfGreJKR5y/HjelW/6/oXJ5lk4tqAONwo609pe i44mPtw53gf9Pw+gwpYYKqTY8urnn0jaHstpJglwdtwsYitXY85tGxrs8uOc zt1ZUvoZNm8KeL97Pgdsuwczgz6Un+RKXcd+/JoQyrtPO3JwoQp+XjFG84/t UPVfiJf54IjqKcJiti2f3E2X+oQJh3v04o38Iow8aM1w7Vz++NSRp1a/xVMn JW5LUmPOjDfIfOfPz62zMP/SeLjd0WXzxiTu+vYA+6UuFyYzHVG5ZZAdNAgy GxWY41mFpDEXMOHZGCpGXkXfZWmoP3IPMy2j6GXnjZu774nzs89gjcUH7NuX z+6vVFiyVZbP1+qI+HZLfu4YhUV9B/ODjwc7erngsOcucW1/Rz696cLFOV9Q wRU4o7MEU+Tvibs//Thk/12xc6MsBt67jrPXpfNsIF3/3Pf4dCOervb21HmQ yxcT/kM3N2s6OJZCzleeH3b2E9kJLQg39uOtfn2p+1Rw8vZCvs4q4rkh72H8 0Ia3h5Ri7Y8YnGvXExNn2fPZhgFc+nMK44rG8trx8Ryu1pG6Po1YqjIfpy7V YOyHFsRsGEJ7X2WR8CsWipG+uOvUgAblMayJXIAH5UeF38QuNH6uwEa5AVzl Y8ijjxN4IEOOqQsFR27fhxq5T0jScmPvlk54cs2LGct/wOTuFGEdbo7j48/D sUmR4UcKEPxsO+4stYf3djJDY6Ewmb5QvKltRlzyBQxf+Q8h5tFMqten8Tpp 5r8djfSnFeKIeymC5lrz3nkTznm6HX3uWzI++zbeVemIpybvkLQ2gRucIjis 4ZaonZfLgi9TuGbsCtQcmo+Tniug8a0BwU590fllCF9+V+X3Rg2KbvH8rqgL 750q0HKWsuvdy9ibtVx0PvQLU0aWChXjDA59B1Ts2I0Xj65JnDJ/4Ki1N68e akf9r3S+O1ArKmaGYvu4T3AolXDOGhmK56NYqWDOkzMf4Z/BMkw12yPe6Dpw luVtMaloGppjhvOKnIS3Dtki+tQQrnZypKVHNI997ikxSDeBjXw6vnraQ7Wg FaEDayTmZ03pcseAxQ9k2b3dgcp+i0RWpQfi+uyV7Jr6B4dMStF+VInr0h25 MH02zrimo6L1A7y9ysUxWwsx+Hp3fmnyZPSmTM6K0OWIk5Yc4jIIjwJ92VXL l5f8XmDuvjz4Jsrxv241kuLs6yK1+Bnmdj6HpflLcfoU+M5ej0bvW7EtVYd+ tgosPpQoiRsSTKVhgXCrVcSuDQ7sMteRhzZvQ/41S/Zems/C04cgtpDmG4sY nXMFsXwHhWI7tNfqYY1PBBQ9Mvnm9l7J8+zOjM5rFFuebYDqL0P2+PEdcT2O Y351Hq843XD5uN4KylEb4fIhlLGrWvA6vV1oZpag/4I4Gmb344qqKJ5sjOJI l0ie860TJ8pjWLuxB+O2KLPj5qH0kPo89yhR87AKau7mMnfIMvya0ZubnVQ5 p8cuaO5KlcTEuNOkygIXTo3gQascavQhs8OeYOxDZfp3j+Kd/QlYUtwi9ihm sWBoK7pdG4TViwYw6uN6lxIzqackBfGVzF2cqNgn5haGiA92yxG/JAJ99jmz ed0xVI7szoK5/zBCUZbLxCi6jVqFqpWqsBmdymOzx/D4gnosHfUHeb0HUaiG EWemIjWoO280G9KushaVG0zpscuKy/odQ8oUG6Y3vIHbXDkmbFZndwt32n5U ldSxIwsLtPB6WH9qBEXz9vSJvBwZwaykI5i9shSzD4/kYEk4j44YRT23iXzb 0ZTjZgdwv78vt/6Ywqrm/qj+6keLjCL+8x/NaWrNuJfdJKyrDmCUvixGbbVi l7dPYe5RjstnR/JDgB7f9ZZh+nUZWsZU4eNYG66LnytpkjfhQZ9u7HjUBRvb nkrupb6B46ez2HXXjlGusjjXVsij8aVir8sDsfS/evw5rMLBMhLJUp0+/P67 M8NXVOCEphn1d67HpymW8P3nyuvGavxc6MKUKi/Rb1kM/La4M79lFp47dmfm IVPW7SpF/e61OPpIBS9mf0Xo3IVw6RzH5sClotpInZ4hrbh2vAJPFqQi83NP vhlhxCf5uhBjXZkee0BEDtJmwqhgeH76gGeyCpS/WIATVfMR3GMgHQa8Fz0O eOPvizFcxEbUnYtm2qxE+i+34M8/clj4Yx0s7UxRti+Sn/fOw4SNIzhhtRbX v1oE7cna+FPSg9+GnEdkD0+4rs4kd3ow4bfUpV5fQ/kFa6b958cgxwnct8UY t7vvQKX8FJpJXqLzP1n6fUpEoMtDBL6oxOEZtmwoDGbMxwkY1qkcm29m8fgt G/GnugRKjdn0mPtDnBSlqP04iKZRjXi85gMqtrtSPSQXxT+uiateS1Dgmk2V OXF81HQbxS96MHPIWMpv6Miuf4fybqEs96pac9UXYy4cpCm8Z2qyyHQYvg6r lxwMjuCeETm8eXAJInZE0+vlVBSMUMKbqnw+UVyLxN59OSdxHep3KvJhkgwP e9SLBze6iU3nJnBPzHnsu3oZ40MkXKJryX/Fx/AjWwY3L/Ric1gN/jy+Iqp0 7Gmx+BxGnY8X8iXSfjtbA5lFZlzoPEE81J0umWC6FkUNBtxu9hqfF/Sm+cFB zLgsx3vbohC9XsqUi3Wx6fZUrE8W4tmYs1hs3ZNp9QZUCe+Ebw900GQzmV7r H+DSTymDdupOdbOufJXxGBnCmuZtb7GszJgOyjE0GKiCsbVr0DiwA7skjOe6 5zaIFMa0Gf5PIrmty/FqsTTbpUb3tle42g3MD9ajmncWF5xMZZ+uP5E2okbc v6GBttMT+HDeZNaZvcOIzCEUDl2YvDOeZTnSLl9ZhpwTFiKkYRO8eqWzojaf tVny4mf0EHy9AKjFJDJhhge3OBzCSsspvPXYHybVnSkO/8PBXvmi6+TlaCif ivkLs1zGnlFjYpoxh0XqIOHUI6Gi2onlhoY890RF0rpalwO1Cvi9wpXzuju5 uLWP4ixPf148Ng1KHX2ZOtuCnbOfoUwxm4WDB/DsvfN4GmKA/57n0dpGizfW GfKBrIOgiw4da1Kp6/cSEeN8aKWRwq1RA1nkMxqyB65AX75NMkMhgBsDU6E0 +jBsN3am7IIq/F3XnRtOjmNDowFfbDLkOk3pM2g9htIUdciHtYnD3+rRe1Ue hW4fypqNRPmjHtRv8sbRS4bss84ck06PhIvcRNoYLBN7v2jQKv833O5poEQ/ lZ/1ekK2jzGnd80Qg9zUWddBnUar2nDCwhhX7j/Bnt7TRevtGMZYZPGBiR0f LItmhx5FnDg0Gs/fdGK/PA9cOjQGS5b2h8+aIlH21xVJTnegrnjUxfqKFMCn BmHCy+fQXlCCYdeBAkepvz/vzFBNa+pqpTJ7hj/q/QQT5u5Fvy/umD98FAbM 34a7fc5i3qcCcXv/WG5dZ0GDS79xfEA2g+bOQfbOWaj9XIolAW0o1OmLDYpl mDIzlIP8bLjsQARv9pdyw+pteFI3kb1Nd+HW8eUI7dmJKQGhdFpRhgUd+jFG 6xSm7k9m+LRABqbnUUs9kB8kbcKi5Tpsp78WhRVakBv4Gc2Xk9h8IJ4dozRY 0iI4ZkoTPodocO32/3A9YyStfHsyecpIDhi/QkS96k3kHsc42V3i2bYcfhqQ J7QGhvDh2jR2KzwmJn+ciY/aT5B9bIxQueHCsckGnDa5HfsOeDBzly57R15B +PwHmGBiw+Ru2mJGXzmY957CMZ6ZbHGdjfVPtbi7aCD1fI9jfY4TH5amMOTM M7z77sK1pf3ofSSYPaSMqT9rIHWoyTJ/Na495UH3W7OhHFksPOs6icOLvKU+ MAk3VHKE0Ut5zDDqymVavaGsE41pB94g8GgEvttY0sh/Paa2TofLoQEs77gI AW3T4dmzCzrujeLQ1KOi9PdL8bSPAp/kboXXEh902qnE8JRX0JqzE4dDZwmr pKmSrrrAvWZ3Gnw7h3sHV2BFVD4vtc9EnIceFrydC+s/Lvy1/QpeJEyB8rT1 eNg1HRdVY9jZr4Aj4mzp/HAJymvjmdL/NgJpTz2ZLrQ6tkH8u6OCW3vAlYWO vDXBUtxf74cafy+c7lCH6BBilok28tpG8JBck8R68xB+njeFc/6qYHJ4OBq/ KEBDLYqzx7+BuW8aP5SXo/JJFVpKJ/D41ZeiNMiEGhka1P9uz9YPl5Gk6MAG JW0OzbGkv6vA9QBXDH/VF+e/dGFxz8+izO4v0nKPoteCbIQuNaHB2wOiJuck or84caWuPBsLMjlw2WUcSZmHGekPofJvF07LC/6plqPXDXN2SzGh4uJ4kRP+ VDQEGbLIMlK8zxaYs9OYZ7Xj6ZgwjtfP51Ey1pv6OnNwSee+MMvoys3Gibyg eBsZDRWoHeTCOSMV+LU0izmRJlSbsxF6cTtQVhlBHL6HmguOHKK8U4ybVCrm 50+DasocycwFAYxXnECbtnuQ3xRGh1sy/HLLk7MlmbhxoFRStNKc+ZkzUPxR j846oxjUOpldrR8K76f63FptIs6+nYU4rSY0Z1ySKBQPotGVXPY658d0i39I M9wsBkc3QNu/gC+mG/H+/FFIyy+D99IT4tIyH3asPA2Hpt8Ijw2mypvjKM+S sCExgVvi9kBtWjJtda4i8b9wyEufM9/YhF2eOrkYv7ZjsesKrKyP4I5eSthw QhllV7/g2KUw2lyVcdmvGCX5WVMMVWGP5J8hPL63gO9XZXLP7hKsk+nLskhr KvS4g7OftekvH0kPIzeK37kunVMGSpYNU2Hk7f3ouHgwEtsHMVH1vih+exL9 zWbA8UMiT/02ZmNcL0YUd2K+7So80VdiC7yh1yeMtTt9WPOwFjXJYxlxM46x PkXUCdqCW7KHMPCkDTft34rVUtdZejKCk2uMmDQzjJcbKzBxmDkGDzLnCJvD 2P7wI5oUPHht7GdM2ZKLR1fy2NOjAy2/LcdRAx0MjIrn9Q9G3P/hmGDqGKpv XIJtf2NYepi8ecyAEWNn4PdkUxr0PY2sqkxY2IWzRZxCuUM/Okmzsf9aPRR/ 7UHjxWfg7zaU02TcGWWmxnd3D4n4z4O4pawdelVqXJAjzQztAHrnaTBJpwe3 m0bxiuE99Jz3B/2uZ7Bu/hZhUrkD3wtrsDElmTcOjaTNe30m9tWn0hUXZneq QsyakfyZ+BWv9mazW+ovXCl3ooXMGyRe+4OrTcvFo6tJjN2hzNNOruyhsRK9 x4xj3Zl4br+bxJmqC5H7Xxq1f3fgDpkg3tZvwHbZZxLb1wP4+4cax0iW4JBN T5wr78Qz6QWcNe4iVjXaIuv2ZyGXthaiwxKsD0xjhXY2s3cLRszPwou7Q1l6 J5aPzutR1nMOss7ECl3nMRx1z5CHFAs4aMFQbNzRAUVxyqxob8OrtgC+j7dg nVcj7Ec0i/O1MSy8aoeFFyG8sz7C9HwXevS4Ifre+izJehHAdPfh/P83pTIu +fHysAQe01wnDgT1FIpVP6DYI1fUm7xAqnsO+xVOx6aXO9H53AV0OmGBTw2D sVl7OOwvlYkcUYNCMRC2pu9ERmQ0Np/oL0kv78JeM+0w7I0CB93ch4gcdzpp fEXiuw1i9VIpIw0NpFugCR9F+lE39S98dXaKk/3O44a5NowPfceWk148sH27 cIpowPpuUj66bs2Sa6Nx31SGxWv9qLJSHtX7XBgR7YYl7nJsfpfGDc++Ye3D ibx5xQo+I/pS3uqiOBiUx/uyqbQr3oruk2eIu0nSGc9Q5itLcxr+XCa2qFry 7HhlXq3RYExbEF0+GHPPRnOseGaKocMKMPhRXw6dFyzttoHSOZkKj4/OtPpa hbO0Zk9LFW46Iu0FrTLR60ElVC5UglrxbN/WmQf+a4RV8iI0KgyjzcYQFr+M xMuNgVx/X5Py26L4+Ng1vC8bwpJt8fSqLYFpTR5fLNkoXLvZ8fYYOe4IWIrV J8KYa7Aeei3WiMwz4Wbzbiytn4oDq8eh7+xcxLz35bq53tw5fTTXHl4m7PNn YmSAE8d7nsUgm3PoLncKdSGduOy6JT/lVYt9kjje7PkDt3tWwlQpj0p/03gw WoY+F4o4zq4MvO4jWs61YruvDXZOT2f9Czm+POXAoo8aHOaWxfunfHE30Ybl X/tyyroCvLoUgMFGi0XkkXvi0hlNnH+6H28zvak6IxprlzaJcI9/ULt2Hfdt C5gyaRluZdlKnTqZd/odEdmScVzqVSJOGi5D+4kYXviayT+tmdwSIvUJI1N+ uPEQf78q8NbUD+LRCxW+u3wT0Wm5rI7sJPV4M8npSkP+e6XDZ4UTOXpZMx4M Cebll504fbwvZ+U7Uv+8ERekbxaj68gJHUrFkkuWnNa4G+92dJFm4C48n6zO yws78FKgH8MWWrN09CJJ/q1URu0wYsuHe/gmb8M/F60on/8Q45jFRzHPUKDw GrFiNl4ZGQnP/6zZ/UUfjq/RpUL2KGRl+9D3qDr9PxyGT0Evum/tzpMP9Znw 6zUWX9kCl9KnqLLz5/7sYfz0IJwe+WOYEVaLBXeVUb3Nj67JERg92IGF/eag //wsRuosEtUJ/vT7k07lyV1ZXhPDpreLRVy8LqNmunLrNTs4nd+DV3JSj72Y Tnv3ZE4LrUdbpAwXdOrHqrXjpb65Ev1GjGDquqNQ/TCJv4b2g7FGKx5PG8lO P7ry9nMHfJtXD/0eedSc2YF3Nw3hlu678O25Eh9p63CM2R0YVb7GgHhz8Xdp BPvUFdH4Tgit+/jyQFqQ+PXwPhxOTOLAF+nsft5N9NbWotobR872HcAy2SzO itCi/9eBbHj2C6dOGPGRhRILH52H6dwMTnBYg/5tRNWGmZJRdilc8asHtwb3 5P9fH6ju7EmTZ2lcX/UNmsXXMbqLMk4r7IVar2yGT5TApmIZOsVPw7WPP0Ry x++iaOFL9DZrFrMe7MQF01H81dkSO+e9xMRGbz5c48PlA5KpeqcNkonBvHDG g6G5Cvw2MRZ2d2fjUo07hgzqzNe+47nQMJUOU5+J2B7zhUH34zj3qZBbe/lw T/+RXJ23Bx63c+gSPJkND8qw414YxdI6MbX6Bs6ttea0HXPgvr9adLYMZHRg Ir/fOYiYrl24bI8LDwcOB/aOo2q9EW1WPhJfGi7jxQMl5jcNZ41VR/Yw8GaG WSpO3/Flu7BkY+R/yE63p/I+J6RJIyXKOoC9avTZc01f/tUzZMTxXjTqYsIz IxRZm6APz9gfmDu1FZ/a5JEz9RG+nTwqlD5IXU43jjc29OfrSGPJzMl9eOhW PMe1TMCT5lE0XB4mSjuaYHd8CSr6a7FLsTKNOgYIxeFmXN/Bj+XLMlg5ERzx 3IUx8dPFloKDWLlphrjzh4yyqBKvtjWK789rcXtPJJt6V4joFAse3fAOd15o cKSFMueru3OrxhUxJUmf7sclVPviwGZDXUmUak++tNSn85SluB5szS6uUUxd 9AhH10/g7g0WbB43jI3nqmFepUnNp8n0uDyEKflptLpkj5SODxFZbCddwHqo 9jwjvjzWgm50FD1ngO9eTcc8dRV6VVxAWH48jw7aixclI/lPawg9ig15cLwS F4/xZ93D6xgSFiCZ1JTJaZsnsfP0mXjn3okbXwewrmoKD0uz2fl3HK63LMDM 8iqEOajyzYAE3nl6ENPdPuH7ew1mVK/FW3tlLFiUInrXC1QPl/CIXATtVJpw dGk/Dmi34o5y6VmPURXzZnkxKj2Mpee6MPFBpORTpBnjl1XjRH0i10ztTO3Q k3D9pc7clW9wqDxAyP/uyYdzi3HxZSOC3o/CHq9oDplkyJDPgWL5QW3J6sog 3mnaBZ+lGbyg7knZ1edxQVOf8UcWSyyytXgtpwNnTEvAgmeVeKU/AbklyrxW lojg1LuonvdH2FlkMGmeHZdrhnFZ7lXxxnWfxMm/BitX7hNzbyZJNv3I47uA /9BvRzeOi5SnhsM47n08kVX2v6Fssgot2d1p7VWGRD05do9eg60n5JjWvg8v VL9LFg8IFi0TrKnithOPa3RY2vwFz7v156FrGhyhEssj7bGcvS2Cga8Kabjk vgi/Ls0g61rEbRkO4dePDwpe4UlnNza+WoGT/XREe6d9ODIulm7/rmHB0UNC Z5whNR915krrOuyb3YPRUeZsn9+Jni8OCZ8NBrSUdvSbFWOgOfUAPPU6Y+TF S3hs/F10lzK5neQMEleN4szCIVzb0Iprr8twzb5AuhfPsDT4rojRzJbU+jXD RRgwfWApUo0zmL+pE/U2uMBfek/M5HZiSrMtrpqmiQ3fc6A+YyOEmjJzhpSj YbYGlymTfWUewf63Af59nMLWNT8R8LcTK9v3Ymyc9H6UhdAjOp4nrnZgiZIr vsj25emkKH4c5cVpWaO5J2sN4i1ccO3OPvwOWYGGWzPF279ufLWgChmHP4on ShWSE7fS+Xivnsi4+Vj0j3uAq1lBlJmbz0d3MvjUrJA5+eUw/30T6lpd2PBR jQ/ldBm6KwDnIv5g3Oo5InJ5ZyqmW6BDD18u+HUb9cdM0S/YiXumNELO9ZKY Pu0LVEsGY1vXHfgzzptHPCJ4Zn1XtiYuEba6H+CXa8WKiM3C+ukjeK7Qhn2/ ZpFp5MlFzk78EtqIVj11yYfDquL3jxwWbOiANSIKRTbGzI4exXV9d4rZ2rMF /h1HRlU+bvc5Kob+rkXSpn14KBuK+zOCeaNemXHXPPjylr1LxpkPSJ5kwaqf 3SWflB1oceev+GVlLg5bSPhh+g3UfRvNM85F6DrTgR1C92CdmwG7vcvjLQcV rvC5grVbR1JtRRWWdFiKqWIeQgdN4LOGi7i034xF2fq4/x003DJEfPkykN8f lMNCJ0bUqa9AHzMHXgsiq57/hdr0GPFU9T8E+CVw+jBNvPu2HeKeOp3CHfjk bRV+3DuJ7fYm9F6XzITV+yWNB67iR9wgKjh1oNflsSx8UIK0d79gMmoDvv/W EhZm55BuI8uxZomon6rNr9t1mPHGDLrPXkDFPpjKv3z5e2JXDq75hLTpjfiu /xd+T3QkJVUxYsozNf7dEkSzzlKu2bcTfa8sQmZIPJ+raDLVTINK57LpHrMH crvS4MNdOCaZgZZdJ1DcYyu6vEvlv+LhbN3ci0WxM7H6SwhTFvWgbdxGYSfd b8Ohd9ESdAwJX+3F1hPxWDPIiOk2XVmkpc2yfhOp/n4F6jbb0/h3NRwWBXKK VhVWb5gkiXYbx2WzZNDnP13J/hsWDDIcxaYKLzZcSmWCZheqjL0Ju4sD+DzV i8ULNLHbzZ9HN93FAYt26DqnMn20Bo9nenJIdIbooauJhGR11JfOQtLHntC0 qROXPIu4e3A8n05yg5elC9w2yvDQiwpsOPsGl36A1R1z6auZztVuOqwtMWDr 3ChGHtTj83nhCL2xF49en0Hh4QHs9Gck3T6FMXuQ1M+vzBXvbC5C6ZkM5fT7 MOT/31rt6ysu9+1Km+Rk1nlMYY40n1/a3UH+kDQYX0uTclUKN9SostFmmFjd 4S3eRLzGj1syNArrzy7qeyWlsZ60avwN+ecrMKNekWfz1yBa2uU7DARVw7Wl nq6D5d5uSNm7ESPWuCPshwxd2uXEFdtMnFST8GhmD95Yq83G4lxOqjuPliHO +B3fivOfC7isSxH9v9nxsI+cJJNvxdkBfsxvu4PGUSq0CJtI851hHJ8aTm8H XWYmq4h91gpU8onA0LIRXPTMXIx3XulkPLuATlt7cvSmB0I9cRpMiwfxnZkJ ikdKOFqa5y/Nv0gs9AZxQ2gTHjw9B79lQfjRPpmuT9rQOv+r+OWjx+VrvyE2 WY3uh0bReX8Us9adxayKHzj69yCmjV+OctO76BtMDMtfLN4624mLtwO5PNGP Rv6JnFjmxOCVxpz4eBJb2s4KDdd3sFdQ4LKl/XDHIoCVluF8/VZwmUUHmH6c wIFuF/F1iT2PVcZzcK8ySd4PfXy2/44jD5O551Uk9R71oc/pLshQ0GCIzTRo frHh6gmG+IcKXB0WykNWGeLdC1lOexNPvcwOlDk6nB7vzNnBLwfeF8az8J45 H3w+hMrlpTjfswZv36ZzZ8Rn/DwtzfzrWZxTMl465gni7CepH/dZhOqiPNoZ urF5/nIhW9WTUUnJjPnoiUPSu1FTvgojte/iyT0Nzj5YjoVVgez2RYnaUzOo F38Yg09Ec8ecTmL0rBZxOPAhtn3fJMrMrmFswkR+WJtOxw723BXjwMix97F4 4nisDzmG4T29eaYtkHEfJ/Juz1ligYEmX8/vg7ZWa2i4ylK7aBNGmOay0z0F ntU2kvbhfRSuH8KX+YJDHeYg4V4u+z29Cte1+/Cn1k6UXnSljL8Ht8ir0vHN CL5eYyGZPGoe7lnL0Phmf1a0nRc1l/uJyApbSpQXQcvQi500r+BokxOrX5nS U0WGNcMC+HPPA9xaEcRFT38jyt+Zc9f3pKV9On2q9Vz81lai3/67wuB5OD/k daXrpxti0zpVXvs8E4oHHqJtbwIDrngSO11wYkkvRCum8m+XAVyq/gsRLzSZ ebKADVMTeV3utlj+M4J7bvnjeXOVOBhyWazavt35T0kGhjQacNzYMFaE/cTk 01ZsmiZ4X7oP3vtuw/BxE16duwy1glT2j5Hhaa//RHDQIHY4swOj1Q1ZOfax 2L0zgwvlTuPWe1c0T96OIbUZWNPrDHQMtiP2fTUmXu6O8RfVpQwZT+U/Gnjm 2Yje93Jwd3AyZ/86hvP/khi/ty+D69oxILkMb1tTqPPBhl/qQ2H74w3ORfdg L0tlyhaEoF4xmB89BnCRbAQLXydy9vdrkB92ERULVak/7wdMbXuwSaEG5zZE c+/6i+jay5gWHbpJ0s8tkGZ4EM23JPFG6DXMTw3mkAsZKBHZHPEzhl97TeHy NkvunzyAg9ABzqOsGDxhtvBd409LGwMkRXmKfbcmsFvpWOEy3YN/Cu1Ysa9I qM/uTKVpXjzRR4KrJV04xn8bfsYUUHKyFgOm/5E0vLRk9Ak5mBg48W5WBc4F fILjiOUYPGIAbkXk8uYCNfY404F1tYPoKs3Kh5JRkjFK3rCozaaW9htM7q+P wGsfsC51PO6fdKSiegeq5tXDURwSXR8FUj6xF2dv3oy++2NZ5lor8W3fKa6d /gflxPv4eeoNXl07j1Ovgji5VwZDbeOodmkqZGOPYuGJJQgdEc7r641491Bf GoadQpdfRzApejDDm5sxUO8sWtZpcNz8M8izHM5x1zMYdjmKV/UzaXDWjolj L+Kkm6PwfjYQexK78IJiCoL3vxeuy1oQ2TyR5Wui+PWnPa+e1qfknyGXXV2P MaddGHvlH2ImTWKi4gR+/51Ix6PatL9qzAL5CTS/aMEngRU4NbcXR48lLY5O Ecd7WdDKplqEFIfx1eCFsG2QZdSOg7Dt70/P09pY6hXEEUMX4NXSfD6YbU6F gldC5Xg5HjVpUfmCP8riB/JtL1kqyWrQZyiEwYFoTusgoelZfd6+m4y0eTac ugQ4O3MbrF8PxshJbWJbQjATVb4hrFcNwpJLsPiUHs/0WwCfhdosaIuVdA6a Qpkj7fiXO4KGs3pjSJAllOW9OCxRmTp/s7h6qzVX3Z2FV4fsecCoF2vfqLI2 sSPT8tRpuMqNRRmynFzQHX73Q2kyM5XrHi5GeOeR1Lrfib8OerP6sDP7/ymQ 2KTUiXtayzBqy2KEnavC+spxPDKpB9O1vbFHW5+9HN8g/lsyvROtWRE9B3lv p0ne9XoOgz0zEXQyC1v0NTm8RJHH+u4VZx3Je5q7sHCbM4fn52HRordYZjgV bl2N+PfqMA6f8w0j55TgM16i5XyWS4NdKAOqk+EzoBOPXevNCW+Sqfdmjvi+ S4+FCQkSq4DdwuVKk/hY1g8+HV/iRu184TziN44vnwuFdTMkB+xe4EKoMls2 xHGG7QDeql4s8R3+VVS9l3LmGLLLdnlW9lmF3LWpwshuNLcYObCH80coOpxH wg0HjPz4Be06rhzpcAs576dgiJIN22PGYuCLHfj1tJDJbXlMljGWVMiuRYDG XSS1S53aqJB/R/6PYvMOp/L/w3jSImRTZCckJTvnc99l78xsEiIjoUiFSqU9 tfeiodL+aki7lIaWltLS1h5S/c7v73M9zznn87zf9/16nes6B4TkkDGO1ZSL k4YRSG3aI66f3IfbB1Zj1pPBzMIPcTgjCbWtSTx8firyX3fCppfF3Pzbh1Nj FeiwohI976fRe+FmfNnanaMXtIlDkiQc7D+BC2qewFS5Ed2HJNC34QVu3pXj 6kAnZtxYjqxoey6tvyraz0eSbmewakcQBvwby07jfsK7tyZXPnqHxHv+kpud tsN59QphbLUDXfYoU8+7BOueuLN+9zhWxG+R5tEpuModRFjUJOQ9q0NV4XUx K3QA7yrkoHH6cBR/uo21cR0odtZDTy0YMV2KcblNytou5nD/I/XknzNxcdho nnANxrO747lWJoXLyx5i8mKQvR/i6eVANgZ+g8tjKXNI9z3gdS/a+yfzQMsy tF60p5f8PtyJvAr/43aUyViKvUs/4fO79Vh0VocLemdxvXkjlu/sLZn67Bku JclQu8KOfp8H892RCkz4qEh1WcFNNzJYdjuWQdvuYV2MNQdulbB88wLYD6sS h/avxO6DXdnBfTT72zxAsm5/Vv/1pKNjGF9P24DhjS7825LIQyVgedI74Xdy Evv6VIifoy3Q6Wc6vWz78t8aa/El65+kduBjPP9jDHRKEN+fd6CMZBAbVp3C PpcK1BiqcXBSAZ8yk6GGKqL+egI9BxtwTWCqJH9BMc/ambA19jVs7kQKs68K lJ96DS9ukdoDQjihaiBr/ihwdV0O5GSuY2WFlwiYlijeXjFl1C4dqs9LRsPj bPZtXoKHTt2pnJcvYubGMcchH65ff+PB0QeYdCGOR64H0eDARyz6MAD4+FiY nh/JyC8DRd40R5odvwP5veHcufE5Ykbfwa0Ub7b0MOGg809RqfoTbtNCpR6l LIrWJqB0mCu+RAcxVuoyknEGHP9Nm93UHfl5eTPydz4Xn/eZ8dm9emgtEuh4 bKNw6/MbXf/K8NAtE9rruPLJ66/4Y3NcYnwylGH/zgmXzXkcszCFjgk/hcYV Jyq/7kuLhr6sVXHkC0sl1s6+h+FhOvhzwF1UFv3C+anq+DbZji2fhzAypj8n HPNnm6I+6woseO62DNaHZNBzphyzg+vwMek6srYOZEervrRNTOe7Ds782hCA GfPmiYiLPuLmqkx+WezPox2zuDayUcwKTKfOtkps/a+Aa36M5hDJPRRZDqMk 3ppuadWI9orh3hBjng6RdsnWNEnY2z0wif8sknMGcM8we3Yv16XCu+HUXV+F We53cGFdC0xf92D8l0vQ0Q/j/enRcD2Wx62P6uH4oRtT/XTxqlOp2Hr8BRbs DOKd0RPYuUsxG1acHzxdM5RrJ2fhUEEMN+wJYJZxANfsnsDVG2zQvNIcv4f5 MvlxHgtXG+F01yy+NniGh8tcyZfd+cYhkgMczuFwVRnGhjVhlP50yaLHi5H2 yxsOg5wRZWnO/c+1OM4oBj875XLDrQqh81Ce74P0hLt+AGODgjjmexWyX7jy QKU13weMFcEq1kLGZghvyr6DmacKp3xR5/iqIEYPLnHu7pWEqNFd6T4rA7ZL w/Gog+DJqntCI9yBXiOT8Xn+P6GRPV9yoWIGSpOb4JZzGanrRlP3dU9ucerK FZ4ukvZyD5Z8XoE8zUKqfd7n7J4uz9hui/BBMxSzE6LEkq9NWCA3BB6KNVht H8AVg+fhm5Bjo8zZwfY9jDFi6zrc6OmAAqckxi0egjemvRlvIu0iT38U73yC 7xeLWHA+EJNPpuHMt7HcPK4Xdo3qzXcjV6Dgmx3TfNKprOyDmY2emP1fM7zO F/BQv2hmfHDDroz9aJO60bm6UGzsrse/kR5otpHjet2RHPfPkictvJgdZ8jd PZ/D6uEg7Du0Hg0rCwnFy2JQE1n74A9ONhdSLLyOpNICvjMaD9uULI7qNJQY vhc+nwZzzUIPippX0M5eiKrLXbj14BV82vYCaX8NuPVcMBWrjuDn8p6YO34k lssM5lr323g2qCsPb1Wl83IJoxvSqJnQE5YzMzjjsyzWDTJjXvehPN0wjBpn nGhsF0iN9K3i62Qb7uyrx6G7v2FGmJz4z3o3BoSeQ7VOHOMOeXP0uAiO/DiZ 6QYqUifT5SXTFmxseobcHwNw6mwiFac5sG9bDM/NuYjfhzypc24Pvi6Lo/YK Xe4qH4zI/jp0Hm9JF+HLtFneXCjNKevZt50Lg4fh4rYkjjDZh/8Kz6EwQIVz c6SdlnUZIRnh7Hn3ITa2K9FSfQQTt1eJPrtWYOFeT67wmkjHUeHM0W5Cdsok FiTkUXbpO4lb8jLkS1rw33Ivyt2RekvHFDYOc+V4Hx3+Mlgk5Bu70WdpEVUm gi2b7uK3zAHhuU2OalNk2e2PGXMGOrJAPo+15yQYwAnsJqtCRe8jsLRbA5dT toztJPh4jDVW3i+k7Z4t2Ozgyj91nixY9QJ9ysxp4PccLzN9qJV5UXT286ac 9FzeaztiVKImmoZH8LVpD/6OKIXc2LswjZ/M4j+96DdiJNNkMsTYrrfFrDHJ VLGrFS3FlkzzeIzjfY7h8RM/aN+8jaFqdpzgn8V1y7dgTtBpdKyXoHe0AVWk O/PAoBEuod60/b4Gqx5GsFGtiLn3ivgtvEByLbSYG5O0RGSdJT9bZ7L2iC/5 bDW2qJdD/YgK1RosxPphl8Tkpkj2fnkQlyLuw3r6EbhJ9mNZdSl2/jTl1vOF vLdEm5cWpnJUcCKsv4/gsD4PxDiM4ixtJ/bbsRb7n57HWPUqNHfyocuB9Ziq cRROul7cfuL/TnldtN3cK7oYZVOlbA7ibIdy2iVvyB/NYPuiZKw7Firc7nZm olJvjh+bxOS/g/m+5Bv+Xv+NJA7i5N2KGKTzTgSUT4Hhx2zu/KrMumwtJuss xtfjDcjJV8bPZ3fwyjWGw3TUMHdLFs5EzMB3+2xa3M2h5MgExr4VjBYrccVJ h9fs5PhpjiKjpuTzef88Ks0NRfXTX7jqvBlGc+eIlJ8F3HvRhuHDOlN/xiak 9ZfDcdcYUaD8UqyKN2PdDPDQvSXYfuobJs9PY+pHA1r9KMLBbgVc/Umbngpm vH3PAVX2Dnz8KInuV3+Lw9FkTXgif2kvwtXlEzGjuBR6bd04V8GTDwIFzzRM wJHMafhvkwX9B0fj/JY80fcyWPrgKwpG9eWuO69R3a87y7p3wuV79zDBPpx5 ERGcYDaJ5xQ9ESLtiKp9+wVu/MBo41Qu9G1E5Mc92HJDi3f/xXPeM2U4FwVT u0SNWs2tksaOUWyctE5y760MNZ7n03XWWvhfuYXlUwfwzg9VPm30QMLCOI59 NpZbu0/iwtYv4vgGPc7zTmBpzQCa5bkx3TkNzqlFbFu7X3RbpMTxv/vwyh5F WhhcQYVvCksDsrh5YiIteyeK+3sNeWtXmyjQlWfJlOt4UJSEkmZHnlXZK3E+ mM6G7idx5MELWK9R42TLb5Jxp5OoY6fC0tcTmJqdyaN/Hdk+5B0aP9uIisBc nKy25eeaa6DibBHxYgzft4Tx9sdYMjCMlj3GUybdg772lZC7OpSXPD8jNXIM a5ozqVkQzG87XuDlyxSqn8jnn81f4N1Biw8CbmKd4VzJ0NQQMS9Clj0bjXmq /yhe+ZAiFE1jsO2gLjvXdJV23grMt9WU8lmQmH4kg3cuN2BiqR2Hm+zEJd23 uJQVyZMbu2F6+V7Jo7AX8Fdowm33X4g7a8p+EjucOLwZU1PKMOxGMiNDbal5 Mhwb7p8S8Qox/JSdy0DPLBbE9+HcrxFsSg9jhowzd/6ZxBmKd4RSjxcY31Gd L+878aZjKk/dGs8pB2fhufsg3Hnkwe2G9Zik8xQZJROoM8OOr/aNY8KoXjjX IIvxP9eK624n4DpwIH/NmibGztqD4kA7yiv8RYfrH0WljR0sF/ekn2G9JOZ2 Ey6MimFQ61N0V5LjTFHv/BtTRNiHH1juMZFh3zw48lYOc+P2oPxuEU8s7cpJ w/I5PTSReUZqaB/mzHdvLLj6kgIW+pyEeksz1ks5JnRKBy7+IMGWhmdYrirN 9vAmXL+sQ4UnZVCXMeJn4YcPA4Zw0PcurO7UHy/HjcCFIsH/5B7j54RgnCy7 jEPubuLM0ViGqS1EqKoKh254g36FlagoyeeCnYMwyOULXI4G8pNTKuNlbovp Lt35erydOHxOje9zQnl2hxEtFBQlVluN4TCzo7hwsgW79exZteSmmKYZjE23 j4l0pROSXdL8rf2sQtWVx3FEvQxX3VQ4wMUU6fZ5khvWpdg7Nw2Omr+g+SUU /Uenct7ak5g7NRZmr65iO23w0/QSmrZFcv+a1QjQ16PZY8EdS0LY7CHPqS/7 cnmllMMlcrh1NQRvVNvFp9E5HDrSgbSYKTYfLoKJXW+eCJHF6UA1bvnswYhK d6z5uwQ+F71Q0DmSWrrR4veqGjwOu4SO64yoG2DLVRpnhazDACrOmCwWfetJ Rc01cNUehw/T+/P5SH8+X2rEIt2tonvHO+L++kjuO57I9T10EFCSxuAfpny8 dpno30mH5o4JWLlUsK+FhIO7q0s22iaycepwZt4YgB7+Fah804KO4YcwuLsF fNVl+eVqKPerOOG1czBDO1pTe/RA3nx8GkPN27A6qRtSW034t7c2dWLlecfM imMjElixvwytPvr8mNkHma8/YnHfg6iN6coh9/4iPM2acnFK7LCjBE0qz7FC TYaDvlph+dduHPMqh9VuG+D325MW06/A1bqYxTLGtHtSwEV/DDEm7hr2LOrD +xOVuTtii6Qm7TTUf5sjPSpCPPovn7m1B9BBsxEnjpyUuP54jtf6O0XBCSM8 /mhNk0mytD16DFN2FMH2ymZh/KaQN6Ne4PLZU9Cf05ul7+LZ8tqe794dFr92 eVB+jAXcp8tg6GlHuvxcLvLSy+E2yxi9akM4dYkpLMIGsdi4iHP0zFjVogyd 7QZ4r7QAvSfPQ+6oSqg6JLFGVoljL3+AYdsYDpO66MXVI2jyMIWt/VM5LCob hTk9aKUrA7WL5lDJyuWhtXHMnLkAKvpZXHL2BmxXpUNjwgkxd4g3X0ws5qRH KdCMnQ+tibI0v75NpEeO5q4PKvwY68/h/Wpg+cUJIdcV8GrrIagsLcTci/l0 dlmD72d7Mm6BHBd5BMJz6U6USDvNJz2dX4JuQHbFH+yTvr7AazhNnv6Fxs+L IuacD7dMCebr0YrcVLUaczPf4deg29hztz93LXPmtQEJvDMtGcrq/Wk+P5MW zyN5fvpJpKWeFt1274HSx1XQvjGZtVpWzLcxpLenBuN+y1F/yWOMvKODNulM X/BWQqqnoI7Iw9Hkjfg94hKadbUp23UPPoZY0mmjdG6Lb4jC9acwIWMiO5+9 iPVjpmB23xwudJmP97pt+DMyjb+Nt4nf52ypc7REjK0YzNRNW9DNrzNfzLaG //IrwvnhcH7drohO6reQl5jD7TeXw9dd8JZvKt5cCcClLXKss5pI7aAunFf1 Hf33/YbNx3hxzd4Ubwumiybz+eKv2Vvc3u7MFVqydJkRwJErEtj3tAzc/9TB 5FOlmHtaDZ7yN9ApR4HTFk7g51YbTmvpxUS686zvPtwv7MufHt5UMs6UPOsn wy8PNuPa+Q5UDwjhO71VOGv3C0mnGhG1SoNrl62WzPDeL/7z8uASmQrkKPjx 7EiJUHs1nvVHjmDllcuoOfJArP11Hv8lJwu/qo682JDAL48PouqBHgPmKyKr Yq1k9e/dePpFQq1/MZxtNpimhsZc5B/JpAN9sTtGnno2qjzo48DhOe6wuvpY XFV5jXwpP9SMbcfV82NY1m8gKl370Ms9h+fbTiDKX4Uf0nNZ93Qsd7WaQH6Y Lv97vF9yClpMmLkQ8gOsuMr5G6yTsljuPYZ7Wy9ihKa0Z67MQV3TSonO9yGY +mAkxl94Ap02CXctNsemIZ+gLe3blgOBXJfoxTdnU5mcMBzygwYwtcgSnitc oPCvF4+9HsWwA7FMr7sG7VRbFPXfI4odgWFVi0TipksoDDdltGU/phWoMl/+ lVBvLcew8NNS3zGg04q+uKh4D/OzAmi48iEeZfvgxJplotO3Qs7YZ0JLXQuu KTkh+n3xo9cNWXDKY5w4v0jssrVDUD9zaF21YvQOCfrOncCK3YYc5JTHvn8s ePDuWLqfGsuBZ/8goIu0u1RvIj1+unAZ9QeqDx6JoevdKG8Uiy4dhzKqxYx3 Bnahxy0NPjjgJa4blGLBRSMO9Qmll8FqZBwcyRGd+nB8YjmSa8gvwwJouj6d 4/rOE5Oqd4mKS3J8lu/Go8ZafH1xNjZ7BDJFdThKHY9C2VMHJ1YXwC9UgVEX E1H2KIIDlg6j81p15yyZQfTZ/RApzx4gInsMr2/sxlE9lLhxhjmGoA9t2w/A o6u18Gn7iFL/DdhzeyUsx2wWjY90kPXej2JnILH0gdijXirJPHoIm1yVWWX+ B6tqJBy0owXzqjpwwGwfqshP5PwH7zBAdi/W11uJq7+rcOnZRhTa7RQXW6uh o30PjVdG0XNKvtj/RpolI5twePsLzFQMolaOIY10bXl2lwaThvpwyNurKCu8 gul77JHgcwep53JoKq/F3VWXcc5MXnpml7Ho8V4Ev9fm5Z9RXGU3nDe2OqEm sR+fbx3LvIeDJY/NJZx+eAm+fs3ms2nk4QkNsHm4ZPD9maasrenCT5PTaKQq ixVTl4lBSzz48+sNVJaOdV7RmiYqttwX3YqGCp3oUjGk0o6t2n+R53wKL5xM OLeuC78vjuCQ7hZ8le3GjSvtxM01zRh9JRb/teZwfHEGPw435CkDGdo2lGHl oen43NeAH4+Hct+jMI5f0Y6q/UacmBvCgsoPYm6rDe549RGDMqLwZbUzEh1H 8WCM1BeKBvFo759i343J6J5wFg8myuPJGwfeqV8jUbxvSG3dhZKKpo7ss92a Z6R7vzXBgUoL32P7r2COHbtPhG0P4Z9/a7HEsQiLjMy5sOGb5EmjK7MvyvP6 KlnWbXqHFHlfqTM8wt/OYzmueBiPvc2iy8iBnK96Gpifz8nuNeKaxSrJtl7y OB3qjdWTSjAvM5Oxvu+wqGM/PqpMZvL2TD6OWofj7TncsW0oU+4UMFE+lwxa g7rU82jttwyPpjjQdrMX9uz4IcyzXaTXdGaQjQf9hzagKigNn5P3Qta+WVwp Gk3ttmb0Sk3Dh/1dRCflN+Ko9Vu4N4/C6dyOqJoRhVXoxhnzAjj5mBszUtx5 ZLUmJ8XLccSseJ5+nc/W+GCe1lOAetJ12O4y55h3izHEQZ8udtnwbXZg476p 6P1oJCtmx/JiB3eWyzuw7WGz+Cz7QnR5FoS9vh/E4PABcG3PlXhtLuCFaFWW j7mO4QtOo9HyO341jRd9robQvSyBf4+rw9vbljMNXovJcevwvHE7wuPyxD9p Rp66oMh6HW+J9uhy8TB8DTxPhmH4gGRktk3D8lw/xNQG85/uTRG4qg7m3pU4 0z2fm2Yn0c/OgbsHaWHBkwR+/TyaPnvL0XfsCSTOTKZc2GHsaO7Gxw1qIu6M Lfa+3o7VrkuwoaUjW6UerRZhzba/SbB5NxhHc1z4zK8Z5UuieDm4DLL62ehW Uiq+vBxMR90XQm50LU6pR+N7BzlO+mrAWZ9WO8v/J0cvvVys2TELTbe90XnP Diz9qsW6o3p08Z1ItaKtUCkdI2o82nBzeAxqSjQ5L9qZVwIs8GWlI/YnOLH8 4HIMX10OO7Nd4uxV6Q5sS+Tlv+Mp2VAF3ZuBPNMcxjuWE1h84CkeRRpiRrKF ZNyf6eLy/D7c6m2D/S0j2C/jLi4OHMvwJ6Ow1H0foiap8p3yB1QE9Gev10dQ vCqUV8+8hsKxUN5vHIH9IbNwOv0z2sp7c/yuBmRui+ehq6pMurgdOgUWvGTl ylvrfDm6whbPB70XtzPeo3xRqRj0xBKlbYNpf3QE7Q9XwNfKilMLfdj29gKu ffgjOdmuyHnxH3AiQQc3pv3ECe3PCD78Duss65EYm4UdvzP43WYSfl6tE4/U R7HlxjbJgr/duWbGISxuWiV5e64cw+NHMvadC+8YymOqnCGrJ1TDsvCokHXc gfw/MnzknMgpORZomjkQuS1etNv9AkZtKvht9AqHrg1hzNEFkrvyUeTBqehl IcEiU02OX7QJaXvnCUmCBP+6d6fdIQumdy9kauJmJKZksuFeppDEGcO3qBTG r17B4OkdpHkvQ9nAA8Lt2WgeMMzn5k8mSLwwgCb31JGxRJ7thabcdNueCX2d OGjoUxSfSuT2EEfODTOHb2E0n1334LVJ2ayTdl35LE2+WRPHM2cGceu1Y/hX 3wW98rchcmaFSPvaT2Jyx4Y+LlPwp9tKNB5UpcXVIBrISHh/twb3dnLhuwtX xPyJp+DfYZsY2lmFDzK7MzL2CtLfDWXsxCFclTGQYnwi91o7s7zzbagXkeVT ojnLNpDB3l/RcbS9yPK2p214OerVnKhT7M/Vt5Xgcm8ydtSY8PqBV/i11ZSX eu9Cxo3R/No1lVO2jUFI5Tm4RXRlnw2AW4w014PyqLWyJ+dlP0ZWmT0GbNks DtYmcoNzIfufLkPTF01G9FPlkwPS2d+hwS9TZERscS6S77Yj3aA/rD0+o+pr J3h3UuaZnWPZUqbLqmRHsS7rKCqXvcO+xYXccsCG65MOo2/ESsTHWONbzxuS lBkDuXxGPl0MXyAtoRmfc/PQqiU9H9tCTtu6Eg6qyhx6aiRnPZuExTPcsGnj DQRZxHBavCef+BxHmbEcx0UVc+9mf+ZuaBGN8vIY326O619jaTSqFw+UyqNK KZTOOp2ZdjIVf29fE+8jdcTtxhkYLe2i/XND6Om2Hi51YfycZ0pL7oGPaQgt tkjv/3QQL01V45O/mjzZoMaUJ+Q/YxnR0v8dPJwaYXAwinuUgvGjtBH+52/i Vpc+uPR8HLH5HGwdv6F2mxI96mpxYfYNXO8URvlV95F+YQwj4xJZU/5A6DX7 8rm3lEdUfLm+Op+7UlagXm88Mg3csbHrEHQc0p06jcU0dpuL1veuvDvBmk/L HMSX123Y2/AA404FM8vxEAYeUWL5hyjerpPlxkfFwvWmPHrssuT5aHfojejM +S8+Y1Q3PV4Kb8AL21TKRNbji/IcbHl3BdHpVnDakMdttpfgPfaZZE4cueXG KhxWqBVKpqckO4/+gdrSAfBzSKD2XDdcXb0abxKlPHq9Azcc1edD03heHZhK +xPO6HxOm7MndaRPcr7oq7tLDHyoRA0EY5daCsfszKLdHDdaOx7Dmy3RvO9e CbPjSSztrc6lq525MtCMS6ZnS7vJlQ+muiPmeSfsLFBjSMBsDCwxF8NtDsOz djCVxnkj43YOO549Jtbqp0k+pPSn8caePDYllcqzrmOVWaTYpH0XsSWdRK7P OrgU9+a+gXZUHboa6HwNRTU96NMlSmjWzsTWvX50mbpeEi+dK5ftibxqc0tU ZX3AslfaQs7gNMp2RNC0qD/WlB3Bpd2ulHe9ij6R2RxSqU69izJMV3qOsc90 qWfcgoYrofw3RwuDpvsxcGE6zbr48LnOcvxQ1qL38wg2HNqFpI11OConT9XP zxGgF8L+Kx46v7yZydJVvWiTfRzZMwfwrfxgDB4+niu1rqOyNZTeJ6RO3XYe cVM2i12qq/DlSwlC7iTzc5wxBy+R5TVfFa7UUWb9KA3+PSrPPnYvRf363oz/ J80Ry4twWNqNj76bMVGvAsNVkmg12pchu9fi46tvkspOocz7mYVzofUSPa/r knOejhi7y5d6K4dh1+1idvy4F12bveld6MnWP960j0vh8Dv+mGNyFoadT+Of uR/LpwaJ0loVXtbM4KYAaU8NTafHxn/47D9SMsRenoV7jSl3OBfvDIbT7cFF hK5cKLm47AEmp4TBr/UzFJap84ZGPGWNS1C6WZ4Kx6fjx7Qz+DKrEqdMFMQV q8EMMg/jYAsV/s5M5uxL1txweTQNVrVBYtOTRx4ni7h1xrjflsQVzV3QJTCK s420qdixCzvqBHGsVQIf7kxgwpbR6HQ6Git9bOnVOIzDde1wtNhGbPE64Pzo iK9Yt16fAWOd+HY9GRnxGfqmEm6pbpP8PJJEw8QAOr+fiTtb7mKKUOKcEHsn 7ekLsCn7GbpOasfkDe/x8Fcqt04x4/aSIN7R3I25lbJ0PdOZTn6zYXZiC5aH BdC8UZVHrmljSVQvdq+rwU/VzSIn8jhCozvg8U0vTD2tLn3f8exp2h2jHz3C 114j2c0tjWeH+osAlVAatQ1naKOCeLSkO9sHBPPz6H4MW7NbsnpoH+54+Bo/ TWpEiOEILFMoRp+d6bR9bEIZxT+Q3X8Xa/67L7avs+autxGo+rAYZ6o/wfWs BSRZ8QyPtaBRl6vCq8MXzIi6gg6q0XTbl8Mfp8y5o1Iw/UsmXRPn4GdhAdcu 8OSKNVoMWrYfIcGz0FKUxKIAE8nEBUpUPfdJTJ6ZwGHxeXj5N5PtoVZUaC7D RScJI6VddzzuDZ7cXSjJ2fNKMjEYnPFPE/cTx7Le/RZ8xpwX4VVbMXGCPLc3 GnLpgSE00fqFJq274vCmQyjsE83c9z15Jngpjn4wpfHQ50L3UgfunqLNM8ti 4awVyj89V6I59jqsBtVKRpf34pcJ3dhplzortU4gfcRI6vipc//NQo6qtqfc k7HOS/Abp9z1Mf2JJkVUOxoq85kc1oJj9x9hXmkd3r5S4o+aItaVeXBGaCKP nnTlkOED+fpMF76OcePv58acHRLM8Bf7UNL/DRRP/kXl/AhUPm3F0/PSvpfy 8tcUTdZMHsPiIV34sJs7rfwc6Tj3EsYMvIK7HXvwY7Y5zvwewQnZ6myIc+Pi gZ3hcO6DOJCwAUmXssV/VSOp302N5YaaKDWVw7qMy6J57FDWfBlCha4tWFX3 Ej8+pNFnuAED9Yx4qsAOjTVlaBYzcfChBx9eS0LXy8swTKEn5rso0nW5Et6p TZEcj3TDmhnvsCLYAceX7UXQ+UtoDHXgBVd7frVOZbf+X/Fx80zJ3KNezA9Z J8ktMWTeyNF4PdGA7oO9aH5zI8xXXBVvn2nSRFEJgR/q4C4p5KmozuywsCOc OshyqTBngPZvoeabKzZYpuCm0gPnDtda0Zw4gV2dAvjZvzd3Pq0Q576vFHE+ S+AyVtoW6RVSn3WnmUwvhCUcQ1+1PZIf+mUY2SmcNUu+wuDtZAbXBfO+bzCf 6Onx1ffHSK9VZHCoJSxmPcasZ8qUBBdS2T2U65trYPmomHIXJvLf8q7UzJ0j jF0mM9U4geFZPlLWkPDDDUuGP+/LmOoDuPb0EmY4d2VXzf68a+UMp+eR/H2+ Ny9OV+fu7XK8++wLKpbo0oTlyDLsy+i5/mSsHPYUuTEuYyLy55rxP5NA5gXf x6xeUQzV12B+/wG0rNsu+R1mxPsTi6ixVTo7+R3oUnRCuBln84z7KF58L3U8 ayscvuhP5/RT8CyMx6WYcexw0pOPfE7C5ewblMepsra7C0eb9Obpn/sw75ML swfas/1MpRjl/BkhCvbccitJUhA/ieUhXoyachoF9V05e3mD5OKlFsm0U4LJ r7KZqnUA5hfSKCephk8PdVa07ka0NKM6Dsxjp/uuNNswioof5olJG86InRel DtQSiaYJ5ZLY2lRWv7WSXq9Fvc1T4RG3TlREm7MsJI33bligT5886r1Zh7eL fkDrhDej/T5h5ofJ3H86jvLtEu4/7IPnHRJY5GnFFy9ckWbdgJcO36HhZcfu pZlsNA/naXV73lg5nOqVqlC+GMgjD634e/hlPFYZQ40H7zD4AqmxLVeMqnuK efvtmNz2Ba337Kklk8Ex615g/FMTeE1L4YFR+zDbeJL03kGMKVLko6OaLHlw CKltQZz62JEPV6rw4Lg2scmxM3pXj2C9ZRdOGZZAo6dzUKFZLHVKwQflalz9 S5Oao5dLgt48g+Fmbzq8VMECXU+GxSbzbO+OUt6MhGJLGGuVhzDIbhNaCgq4 w64Bh3utwm5tFebXNGBucRL17EskchJjpzd6/zDgagwK8wxZOXU4rw6xo+GP m2Jydxn6/tcNZpMmYf8OaR4XXYP3tiF4GtKIW+HBPGXrQT8/f45cIMeMO/ZY esUTiTF/MNc1TEy7K4PLXU2gvVqJfTvVgMm96DuoKwLGDGCQzUj+mGrG9mNe jF57AK1STrlt60yDDudFha8e3toY8PUbczy6ORv1ikbSrurKhCVKTOvVhe8P j6NXvTv1+5yG6xxTrn5vjqqBSvT3HsjAdYE8taIGjge12LxTwk29xnNxgAan p7VJ7p6z4rOmtTC65ML616ZMWjOGGzTG8a39Fcy00qXjkdVoeFKCaMNf6Jfe jtM+IxHSpE6nZnW+XazB7ZGCR9qdqSozB3fbrNnzwnqU641kc48LQstqDIdM iOLfbd/Q/3cO97/wZhfHE7i+xJdZPVzEsZPaXHh1DV45voBSj2yu7y+d38Av mH3/O5oDKjD0chxXJsZi6L7VsKquQmbPKTgT358+PU/B9mMQ4030OWb9Agw1 VGXCYfDji4nUfnIG34JV2GWbtVg9ojO8VUN5zF2Nf0O1OaFNmUumeaLHtre4 6ZHD1ZDyrZ4ju2zJYX2/IPZ5fgPOTfuxzdkQh2dn4nNbZw55I7jNNYKhRz4j aiqoqKrNPlVS7jlvw9KxQawuycH1vDfQmBxK3cfpmNDZhikL7Di1x1usstBn l2eDRZi3Iy+4uLBkzSr87N+EXd+Po8DxBzTVcmmlEIYo90OI29yDkUWHcOJl o1D2Xyy6yKdyz+Y+dOrqxQlbNDlilxO/K7my1H0/3r335MHl/3B4bTHHrjyD /isns+soF/7NHMqcKmVeVf6D933GceaVAF67oc6af414tLdMeHYrRaLCfgzY 9lzMMfDnqm8mvGIwkk8nLRTvourxQXsxDtkFQ7elH7vdGc+951eKdZvSWZTR hBUvU6j7yJ3VOQPYbJfCkVYKtDV8i69OwzDGsQy75Pqg4+wKnMlQo+zGUEY2 KVMRXzG0xwtcvqzFbqajccO5GCukLtzV7ylSggqgli7LJUMu4ImU+7dUluLe REV+D9+Jv9NkGB32HzL1O7MgagycF/nTzDtAyiQFjM6Tpe/CLfjY0xvyC5dj 5gJz5jzS4rE3o7jv+05kXf2MTY4x9NWwhcuFTTBYKfW3lDUwkI3niXud+XjU e1i+T8GlVh/2cx5A843KdMifjMQTv9D2Sw9bZL7CcsVZ8cNalt3fjeHPqoF8 H5/JjH2RQmF1DwbX18Jz+gZUJ2uy21RlTvZUpvXtwZh1LwXzhA07PBjB5obp 8NTNw8Dfq8WYw1OwwOY+vKYvEFMC9blwzWe88QihXrUuf3yX8PlJJ5Z//4JH Q6P4eLwnpnVwZ7c3OSyb0ZFJJhugcdhK2oed+PJWKxYcmMw9QaOocUmDu+ca 8be/GRtS7krytumJoUmzhPOgXAxSewKT7olc2GswJi7ygcrPdCaUNIhut22p PaeQ2iYduax/d8r3sOWfTDtG7rMWUyryOb18Ns4VRtHz0AwU7rPnjvC1qGwE u9oac23Xe3CQGcgr2eXCQnIT8t4VeLhQ+j0VwvhbW5cP3drxvVnKYB7d+c0o Fv0ao3h2tyUV1qXRINtBBOv5cmCnKoTVedCk924oSrl2wjN/HhF5nG36HXtW defducF8lqnOxyeHM1ZrE661m4lOEnP6l80RKgF2KLthBpXEcO7Z4CQpG5fO oCYLzh9mx1vF4ZKDMgHQNV2CG1f0WURXTt45C0tkBY7O0+QjFR/4b+nDkGQF pCZ8wLCbv7E+YTbs9Tegl10djt+U7qybKX8my9HoQo2Y+9KZX3z9eL9fIKMG OjH2+x5UBuTzxJdF+PTBWjx1aIJHpR6yth9GoUcTlNpO48DwJP49PA+7XWIY 3meh5F54AI9UD+K2gUtFoTTPbfOmSuICO3HZ8L5MulWPVqUYfCt7gqmbhrIp +SYK3tSJLu0bsOLecOGupcB9/9TY0tCfL0I+YBqVOG/fbTHkTE/UxMng9J5k 9OgdRbm20QgNGsFyj1AaqE7FNUkEXYNTmDjVmzodDXncw57lcX4cV+2Bhxlf Ybd7JvZ5v0bRrYPiWEY95jzKZ1HOIC7L/yde9anBtZMO9KkzwX3TWTgYmMry 9huoXaqEYcqjuOJ3J9alXoLNvVzumt2dF77H4/aqt5jnNQp1ZgWUXbxV/PNI ZuojO54/fwMmrmlkzVB+o5doqkkXQup4x/uHY/2dJ1AwncABHZ0YeHcEfR3j eXfEBRipOWNc9TzsxGhqn86kzE1nHJv+GMfmWkuWpGZin7QPVTEDl8d3xpJh k2kvdeKyFC2Wzcug20Fdfp0+lC+OKXFHTRcsb02jvpEEiwYM4023NrG5WYab x2pQt8CeX3rch8VZOVb8DaKsUgR7Vx8TVzcPZuce2nxbrIWYTGUmLwrnldYo ntTKodfFYVi23oB2XSbxTlkDKmuDJD/uZYrqM0fR5p7CgZU7EHfGFSne70XS g0vYF7VDPHt8G/MfO3NDtA5PdX6Jk1M/ipmr9gotWUPM/pvEdUe82dy3CxXP TWZRYzwzXiRS5YQTZbrvgXrNHXxoPIQhQ7wpu+wqpmROoGZzMq0O9IGVbgb1 zTcj6fdG9CxcIvao38Pz0fH8V2kqjOSVmVJvwMF5GiJ40ywMt9KA4ccIdu3Y QcoraWh4mUjLYnn8PbpSorzVisVOQbQ08ece1aNYHFsv5h5zESkeZNkKHb4d 0IPXXLx4Y1YAe/UvYNyfXmw+WoshK69j+LXLEqVN45ghncuSi4NoljMUJc+X IfyJG9e91qTHIRtuH+JM3cxZyLnShZN+WbKX3T4E30yCbOA4dil0pXbiMsi6 1og8Yzvp+fSExZWvmOsUz9fxV8Tf8HBaOnnz/cxoyvxyp85jGV7rT8Zlx1Il ZitM70zkhms1ODzJnbVOy8V/7lXi6eZOSB3eCJUDXpJhI3IoX6dGrzkxfHU/ WXi8uA056ZztCHiNZ5V98TOgRWT0WCgqagO5KNyIv16cFM5zfbhKbx/GPUzm REtjjtoidWf9FFr570HG1lbIdTvmvKJuB7aVj8fzKUVUHijHbTvj8KBZha63 OlJhzUQ2RM6DZ8xPkV19GA+1LDB4dBMajCahwxl96h9WY4/scE7PnSWql6az wlaZNbciWDXKAzH+1aL130TWDf3POaLyAzQL7bk8SZMBLxbBXaYJ33/05N8r IdzmPYJQkOf7ow7MPLQMnj1c2dtUi/1UegnqNMJTzkVSdluVud63kLbjMz65 L0RWZgva985FfW4lEvpdxMbZSRy5dQvG6fXFRpkySJb3Y18nNWQ8Oovtn1rQ 6qTLyCvG2Lxwv9g8vTfRYsQ/PwTll8mivUcknbR8sP3rQbFOYSC7lLyQvOh3 DEoWtVixKhyup2T4w+a5sJH05Mnq8zCd9gAZD2Xodfw97sluQqZfT9p5D8et t6cR0VcfBdChnJ+0N1P8+GGuF8cMvA6TmxlUupbO9Ss3isvmHmjc2pXr0504 VyuXQ06bS7LaE8UuWW3Of+TPFbEjeLP3d2xaMIC9W85jU5UtlukXSM9Zl9Md fCjbnsJ/Ycq8uCSQtdvNuEJWFrcN7sB54nxMrPWlwt9sNJ6sEkfmWvK37jYR uHgotcrc+bM+l71WmHL7/RBalqiLqp+XUHa4B5JHqvNp4yqYXmmFzfDn2Hkq nBN1T2L3q08Ye0yN7qZ28O1oxNKb/nSYOYpq3/bDTC2QZUe2oe+LJhTMc+C4 kEXo0WLCtBt63PbBip82qFDj2SQMO/IeF9sTMfVYFxhEyzD9lTefLeyMuhWK dOgQyvLYAhbfacS6VIkIe/1aJE9V5My3xzC43pKXfuWyrxdFWGtHvBwZjySj bryrcRA/1+wUtFNice/e1F4ewmxzZRbVJgu/t6Cs6wLhW7cJsYr6rHBO45md R+Hi74rPO2ZjorM+d6cZ8PEQwTCPCbwq5XSb4yp87vIE46s3ioP2I3FhSz9W b0/jpt8RHHN5LGO5DwFb/iFvzWRq/WmQQMOEy099xV4fU3ZYOJnmLdbsXWQj mvJNWDbwBfbVPkZPHyPMPK3O94XnxdsTq6QOJ8cDgR15UrMEW24V8ICFG8ev UWCPgu5oaytg1w46HJD3GVsWRbL7OC/uD7Sn0ZoInorsx9hnAjN26/J7jgqT XL+KmX1Oi+ipvujfagbDhFixPddM0r40g1lV//CwWZ/DjraKM9dyeU1EMEdh CPV2XoIWXCCnHiiOmroJ+8v/xLojJXBOK4Za1APJsUpF6u6YhteON+Cq58DS 4BAa9dyB9GRTtq0ewy6ThkC2Qzt6LSzm3TWdqHDhDt7tlfDPlUVw2mMh2mKe SS43DmK1QxrbDKK44Vg7MkIKGLNXk7MPv5DkdezDDrnuIsR7L6oPGtGmjz1P K/z/d9owPqs9LGWTYxgYUY+RyY/xTfsujgWfhePDsVw7xhCyZbex+1EBzY3l YJtkyvvrxjO7fy8GnTBnb+0S6F435ApFXe5aUCHORDsw0TyGWT3DsKHfV9Tk dhQ3/zbgkjTTUmLtYC7dUcXCjjQ0y6Cj1QkYl1wWnbu58+3VPmyoWwLZWV2Y Ob8rw/PkOFTlNAJG9eKOSH22K6Zwe3urKN7swbff8vgheB/Km/7B754hBxe4 SRTkBrH1iRrP7lqAkYE+tAzJYXmyMb0mr4DRuMHUln7Oxx6jeW9mKQpLF+BB /XCmFQVw/75+nHkwgUfvb5MUDzKTettYfEkcxgkHjFmmDBr6y7G9/jkWBRVQ taOjuB62Xbj9/OAsf0KeKknJnPpThy+vdGd7l268p63EpAFkwqpctpvY8NbQ dOrXr5NcqbqG7Zo/ReJcMD07QZy+GYHVuUtw9qgR59nOxbTxPUXxiHzOLTTi sWhr5h/YDT2HXI7ucBpxEjWue6/BLVvuoJ9fD7Zp+IgVbZnwLP0qgjpN4MTM vqzI8OOuR+Oh03GBeGi3Frvi3HgvNoQ3Pq5D1oFjOG43GwPNxgi3B+MZZNeE jTWv8V9sECbtPIPWncl0W10iOKNJOKk/w5K/nZnSW4slst68OVnqvMb+jPGS 48NEfV7RvCHCT6VTa6whe23LYpNXOBVv30RamzfnS/28bUMaT07tiXEXNPjR PYul5m6s1nFgH6dg6rnFs0zejQFWPXDJKJvBNvcQ8HgYNTNTmR3uQrWcKOqe VWHzlGC2F4fhQkY7Sk7546RxKxS7qXLUr26UNzTj2LIk/m7N551qH+YWL4fN tmoczYpG4YgEpoRmUNU2GBEbpb1id1WkPGnAF/3n2F4dyz3bJ7Na2Zu2DU8G jzz1VpTVJ3LTrmJR+dyDxzr3xmSlEfDrZigO+RbyUo9GfJSSoL+OLDQujxQ3 8y+IfTcm8UmJM9EzkHVLXamhN4wDVJ9CaYqDeFjhBRVJCG/WtuDlSh3ozD6P ngtzaaJtypIlb6DcUMRhyw3gVqPP5A/WrM2cgyf528WtFb7svDaHNhu9eX9D NqNSdqH9tiwu6kXzzOVRztMrnmK49DlMtsvnutzTuL5AgUM3r0XTyetoS1Zj yKPFkl4nG8Vo+cE43buYHX6psm2hPnPfzMYrz18SvT1+cE0YTbtwB9a7JbBz /EjW1y5B6pYAhjRI+GNXBNTnfYWfjCv3uE3imDHduWSE1CHnWfBizQj4/26C Qks4P0RfRs35/nxmPJhPJwxipupusfixIfM7PYGc3FBu1l+Myw4L8MuzVcjW 9aFc6DiW4iHi1sdS+f5xbGnWIaJtOCuiXVzum85TkizOniDDLeYnxYAVsRxh m0D376SLzwYoT9WhyZBqHLafyOOlj7Bwex6PvG0BDhVA4ZSypKr2F3qo9hVa tZ3RQzOC5/5tFciczK2amTxt68Z9ZgYMez+IzkaqzH91WVzpbcygSYkwHa9M OzkbZM8MFvd3JVOnqwuXzy/Bofst2FtixlgpYzc5LxEfrOei55Q+zJXmTXm/ P5h2/5ToBlfmpVzEj1OBOPPXiZablNlarSnNO2WeW5iPSPlS508mgpMKlqLi XoRIce/Ol9r3xCyL27hYYcgxtRmY9sOO98fqcPaMRHqFJIg1WjK0+u87ZgW4 sYeDNZZ5m/Fg2yhYnpChmdE80TFkF24oNIlBX6dAQ9kBR9dMEMkPQ3npfhOe nBnPyxPTmbJqiaS273NYelpzWp9o7ulnTdn6IUzuOQcWr3ZjxX0farkpsavO aNQmHRYOzY58JCuhr2YXRoRMFQrnVNk4/w7sDqZy1Ew1BseXiQOr+tHsji4H adrxsPJ11M36BK85/+FhiRNN7yfQy96b7WWnoFL/CV+SetDi3QZYvo/A+06G 3NmhFPcvd4acY4rELF51cEBLN8z/oMajUtdKb0+glZQzlpyLprS+EK8UTcky c57upyiu6hyB6swgZpiPZUCP7hz6yp0Zp2S5OjyIekfH0NHjsRj3pE5yTMpT J7f4caTBEdHRN43P3YLpoztLZE6ZDscPN+Ee6sPVd0xEmO97pM+aiEufZaVz EIRWJHOgpSea1zow1FU668uLxPD+hkydEMcd2n+AulgmvU/hzZJX2BCcxWPb Z+G7syf3BU4XfTNH06b3AGxZYcd+rjFcEBJMwwe6lPMYg4gLv9C4YTwHFo+k faI7Zkc4Y92NVKavnCtmd1qAiT1X4NX+dtS3fxfPDn5DlOJ2PF21UVKyYAB2 n/RjS8pf9K7WxBvj6Rigk8vm58rcLF+KK/c/YXarD5+lKqPdoxsLtHxp8DSB A9QNaPJF8A2zqKT7TfK1cywn9QhB8jAbDrxI+j0dSdVrhUy9UIkm7zBuUfCl hfxbNMfJC4M3JxH5rxJJXjE8P+2QsNiazDtdZCg2ZFAyIIhLp+lT+8HlwUs2 zILp3Wj27NOPS921+COlApJyVWq/3IXajFGwW96IYfHBVFc4CC3zbizT/iFU ho/g1+bOiCirgO2hB6L/0ZeYPUkB8WYqNJCYY4VPLF8UHXZ+k9cPKrZ+TMm4 g6JqE8yKdxPfs6/B4JD0+V9uwVeLlXg425cX1mXRX9GGC/uWwuZpb+6K7sTb gRW45qbJddHuonZTJMvtrfmxJZ339PtQqzSYa3LA+W6RUk1ZAV8FUxb534dN ZDC3XnPHq3+9WFzqD4nMQZhah3DRtVEc9nM0t/Sw4YemQeib+EeyqN4cC/46 4OmOy3glb8gXlsfR83EWBzhl8GK0GRXT/Jjey4yH5PKw7LYdfY9KKD+pAx1l s7FjWjWC3+uj8/B4rv6nzTV9bOlqNRmL1d055pHgxa1u/PE7BzLnvyNJbR4G blgkjPTmCJV+zWj1M8TmcUW8pmqFjN5TMHreRNpm3cKObV9EnNxVyGicwUQ1 DRofaBDF5iegsWwqZhQ+x9tJztQ63x/B1+di0YJWOO8s5HH3Ih76M4L+l64j NK8bZ+mnceaCyUyf3p9mEm30HFFI8dIZ3zR2Iq/BGEde56PhTyMs3Cew88wB 7KUjw3Dd//+3yYGBR0YKjX3R3Bfpg68jRlBJJgaV85X4dL60rw72YFWTC2da xVK7szonVR6E6uIYccKhiPINr7ByDSnxW4guHfQ5rU2FpcvfYcf9c6IifAm8 pg7kAeM4bBn9AgWDynHTPYDLNWXZNnswE3R7c/fcWlj2yGAPrWBU9j0EjfnD ePmaIyUlpUjbJIP65FF82L0n1H0N+KYtit/fKPHnnwlUNDXh4axe4kCmIe/c OonFuVVovPMZqy4q8Hi9F7tEdWfZ05uSBQ1TJbuk3PxfSjAzjh9G8J1IXl80 iME945lhNxjx7aGYv2gT6s++wjOhi7jLpojYo8s+Z6z5r6ch4+aa4O14BX77 cAoWnglC6dE9rH9nSYsXnXjvaC9qfZan1YWnWDhQmf73XRA1eApunX4En7wI SvGYpcad8b+Kzjssp/6P40pLu0ilob2UhEjd3/e7tFVKpCJtURpaqJQ9npA9 I0U9JSJ7ZO8R8YRskb2yd/zu33/3dV/XfV3nnOt8Pq/X6/7jnI06TfgRFckr rR/QSd9IbGu35aPWSTziW4LlWTPxTSefD+uiuSzkPlSlPqw17REM/mRxm48M m4pyqHQ1jFrO5UiIGCnu7J4FiXIWD0xrROLqSjRajabmHkNO7zOCyspSTugF ckbnORirq0nj5kJukLrF9+2zoLN5NWb2kc5RkgVlv9+G8y07Ol1oxC+ZB2J6 pQz2TpDu1qE74FKSwonmU/jF6Cyuta3FuCtBNBoxkVYWfRm73xpflSaxTMaB Gq+06TnbhtciduKutHMO7Tfl4wWuXDYvjMMbzTh8bS14xYQ5y6SzKW2E1jRH yl+ypbWvGyeuv4GHf8+i1UeXCQffIjrpCVIss+j7qif1Ry0QFc9OSu4vWIWy C4psMHVgU3NnKWu3wNwewjE5nyOkfS7b1Isev5O447QOwprlebr8sqiYl8yv U7+g3M6aiu3DqKVqypqeb0Ti0gWYHNaP2pcV6B+yE0ekLSP/UpZyp8ZQotQG 9/v/Se7kfoLGvbN4PlgXj+XHSt32IdrDTDig6gqmepzE1itdeDpUiTdvdqLh xfVITZrKPiZSzlT5UNZEgy133uGa20pU34mlzpwVCPOMQtf3t+CjJsfdD91x /8ZGSX/vUNqpeFH412HHnXr881CJ6a363CPfCx0OU/ju3hA+M/yK47OeQ0d9 uJDR6c99jsls2tguOVKxBHpK7ahd4Ms95lmonZDNrYfMhYmGMs1CsyWf3aUN NMedqiX38ajUlX8eDUV1+zTWv+nN+yFyTOzdl4O2/pHc7aFL68RvqH/jyXXf olnxcwzVWgZLtjYpsft5DXptVEeg93hO7dClv4kdp2iOxvBXoTyRM4xLx1yB Wv1ERE3vzfP9W1CcJsvVnT057PVg7t4fSq/Vo3hQKZ3atkPYLOVtcP+jaLHz lPqTvbB6qI5/z+Vzz5zhuCv0mLHgtxjidV5SPq0VK16l0CwkleqXHTjM24Ap 9sFY0DmM3fbtR2CbM3UTWiQD2424+dYj/F5ki49tilzZ6zC05fKp0W8MH9W+ wrMz3xHdaiTxXHQYix4fR+qV/qJ050FJXGQRuw83o2zeZKr6jODczifxOVNB ZK0vlGS87szVfZ+JGBXSpzGeC4I6IfxyA8KlHVmibsSdbzNxNSCal8r9mLPK hYp37FiRGMTW6a1YJ1XctU7/4ZejJ1t72HLLaUsO0d2I2Kzj6PjhLvL/K0Ox 42+xs9sy3FbQYuv6OCa+j2FpJ0V2tY1FSWQBTvkE4vypgbRdfB/+h1xY6tAL Tm/02Hj8C5wjypFtmSd+xtrx8oEQ3ip+ib7qbliVfVNSVLMQ+z088SXsDDZ8 GclvMbaceyaPVns+isv974s96t5YF7NGGK53o29iF0Z8rBRLFhny3rEgFmde RdkwP26vHssfSwP4eZQnTyWMo/vRHuwwz6TZiedoXhIn1v6S9ntPZ2qNCebV EU3YkjVIjLF3psURqdepRvL+GV3q31oGpYG34f/RDWnXpO7xXXpfZfrT6+tz pCnY0zlWBeuMSrBEj8JjUCZX1yVzTvItrJS2T/kYDbatcGBPK1nenROA0nw1 GpzoxW4qBXx4dp9kcsQenB/lyl452gwpHk9h+AkpNl+x/sgH9H8XwRPejWJT kD6LVKdja+EQ7mtO59mym4heEEkNX0uM227FLlomtGpX4ulXj7DfZgo3XToH R8tw3hlvgaKrply77TTypu4VLhvDMH/fDMkt8x04PNcZfX6bcvECQ5qkdaPX AVPOeNCFNrXPQaFEtxBz5K1+7tZRqsDSKnce+Zktztvm4XazO6+PVsD0kmBu Uk3Gn38UxBRVqU9GFeJ+xh6Ef9opqVt4DXYLlGnjXI9+Popc8G41Gk/uQWJg EPdtPQHFF7kcFezDmmd23KGYTLfDvahU743EMhemGXu7XZ8/lInPTNg0ph93 j38G71hNbDs3itMNc9kU3QOPK79hcKI+5iuZi/ZyOaSuHooFCeqUl/LN0yGa PokuuOLvyT6ddrr99OzORdnpqB+XTrtNUSwbEIFUuWDqX0zFhu4ZnL0nlbeW P8fux0P4+kwE3zab09FqPWp2pzHlRzqrlgxg0FtBSUsrCncooMxgLl4PHSkx rK6Eh9wdxH/X5r6Bo5nqEs7bA9N4otVVXDa+jwqNSYgqt+agJ8bsOsVT4hxv xDnbtfliax6rnnbjpoFZ2FQjB8dJbkzx/g9TgkM59Loqaxs+CZVnSlxXWw/l ZwNotj+Xy+NMxfGEQyKq45yoWvKPJKh2Mq9+U2ePsxmUq78G3bJv6N7HDif+ OIjrdqfEydpCwYZZcH+pS4UpO6Dlmc2k9+8RUVIrCnbdwYORzvw+2gnDuj6F +uW+mJCgyy1bY3Hcz1o8b1woygcewT9xPWhs0S7yQuxZfNQFCTMmsH6FN4e4 96OGZ4d4s98Ye7PJoYm2nDjkFI7GaHL7AXd+TDdl5ICxnLnjLT489aLnsp/i 6yc32gbG8FZjb5ZlBOLsdXtO2ZCG7vbdGYe/GKVoTK3IfGHzryznhKcgalsi v1nsRrf1Kizv6IudH8IY+H0E5Qs1ue3CKojMMXRPr4C8URCzW5zx7LEtFa6k 4sWUcGpHGdJwvT71v8dC33UYN9TkMbQtXoy4lMkX4XEMODWBSw/YsfuPSXwT myaM1d5iiIM9N0T8xABHP5HhXg+Z+cO546kEh6TNXz0mA1Vunfjm0ngGr8+k +4wIJokc6TXJ4MMpsSx6XY55hyTiV9lccftxd/5ePoh5bZpsaenEty/8OfLA UxQMnI2G+yHs/RtoPmPM6oRyOJ/5DSMpswuuFdBo5wsEVqjR57+R1DV5hDn+ yuy/Pwf6XvpcZ+5ArUursD5Om0Yq3zDgjzXVq2tEaNlvlPhfholFOm9eGkrT O9J+6nUSTs0p9BxmyTpfX8nhAa+xauxZVJ087rbqxAmccCyEUNJhkr6CmD88 TrKo5TM2zrQVBTqFVH+QQJdting3+DRU8ovxuvEy5k8vwhcnb/6yN2FV6DKo BBhi770QXjNKYumHEDGi/K1I94jk0y2rYBq5EzN6C4ZedWTCtAMoeAD+ln5u kc7lHaOfwr40nAec21FxwYKKOTo0a2oQHouG4/7QWPY2/n+3B3Jyph5Lztci trIe5XHSHXnUjHbzlDkiIRa5jQH83T4EN5MTWZwykqZnSIOOclFySR8OZwyl 9/I4XJskRz2THrRIT+b/n932j5ojo1TDOTFBC+WmRcyxTOLoTV4sviH9rUcP HuulKTEJmissTJ1YekmdtYf7UrG5C/2mlcNbrQAfRo5hwNeBfF9sR/+P2jx7 8Cac+vXhiL2yNJ7pyHP7xzDe3pqTtlTBuqwXD+1bhN79HXioUY99VPNEv8GG knmJ+dBGKIN1XTk+yI2BN5rER4kXU9etEn4zXTik6Ck8cyczb5cu53Tqh4ED X6LqgwK3NjZgdtBKPJb6su5/x5G9MYZ3HcugHfEvRkhCcCyYQr2rJ/NHGvDD pcPwy85ljIsj3eq3Q3X3bCEp9+Xfw64s0VJi7UIzulj6sOS7GeILJ7J0iD4u RgdjcEosd42SZd6v14hS/0+EVymw/3x3bjhrRfcuw2icnckJrnaweG0mSe/k RFPtaTz+qB/00n3o01MHHX+VOE3KtqrP8Ti4woPRHfHwWiHDU23tsHmvxbuP VfnZfjPWJKfjwMlkXFWVpeHGhWLxtwqcDo3hzdAtuGTkiKBfi8Sgunhudc3n rTkJXNX0DrcMdei+NxBRPqp0SNyLcZ+krmurTbXaqbz25xJyDnowargdc0wH MezqQ/StXQytjmhWlgzi4OfbpPtcDeb5eyTpbhl8d3wAB6xdI3XRmaLPq0PQ 890nXvX+jsd3FmNcSC02vepBO/3OmByzGzdvXEaacxSH/k5gZqTUbYukbP7d Km7b5uDNuRqsUe7FBXdl6XVsAg2tUrglbgBd7ZpwlOXIku6zyNwAPlQvIo+9 ht9ZLZTpbMKeVimXPjkyen1n9rUVLF5SjOYud7Ak1J9dZ1fg4gZvqqfb8m5N KSx8f4r5UzbjUcwGbFtmy+Wheuz9ciyzvK34bs0Izqi+5ybn5CflkRXzjhux cu1SPPipgHKL5UhO0aHdqxU4HXsNa3zuwy9tFIZ89OW2PRZc/ECN6z8tQmuq IUIsDVB8oF2oGdvzxKsshj47KXgwnnLHNZnmtFPMvZLGQpEO806q3BG+GG/1 dREZ2YvRDlN59q8VPd+dhYlGpNTX1uL64DW4NlePzXr1YpDFBPa3jMT1DEvW /DLkFPsHEPs/S9JjwzAxrBNLEgW3m5nw7/I10PS3ZneDo0grcRNyZhHinxs9 +OtMV9F/yVz8qzCBz7vcxNa8XMpf60BGVAQPy7jS+H08u75RpFFIKmZc+YmW c5Y0MzPki02B6HnGjwFOLWKW12l8CvCCQcpCdC90Zf2fYnQ4aSNlXwHLVI9j SL+NeL5agcEaAreWfpWctx3DNo00ujwsxeHju9HmmoltFd7M9VqMd9cn85yK B/8J8OSKtv/E/JlvMGH5CZHu+gEFm6+JU5d7c9H5sezdQ4+2E8Yj/Htf+kY+ FX6xmlSLy6R657HcMF6RdbP8WLQ8iMcSBrHn/kiOe2rMYH1lXnQ/jXTtzri0 +5YYduIHYuz0uETqc6F19nj/YAFkbd/CR96cC5OiULBencdXO3KJXRotXgYS boPoWz2RMqF+9FJsFEOq60T5pEJu0xnD593mIHPuCB48Z8YRB8xhoPcPXPuV Y3lDKm0rsikjq8OIzDBOCCLr67qLoW1aCL87nBdG9efTOg/uOjlZ0stzBwLz toiF27vRbb0nG7MtWRE0HiNrYznS4xQmLhkH84kx/LvEDv0bpnGLy3nReXQb 7g2x4PQA6azOsuJxSY3oumssl0tbQbvyGXo1ZEF3xgvXm1o62N/zOy573xf3 BoOJ7jPxJGc2dhgXItruKn4dN4RDWx9hyu0I6bMKueoyXPDQgD8cZ2Hn+5Es +TyF7b2/iLldyrAu5SDiX8Riv+xK/GnRxcwfvfj2/E38s/SN+OzyRCR124pn DxqQ4uvNGWIeTpT34fJe61Gt6MyGpdvgcGGRcLDNZ9CANTD5ps/t7lslj/u8 wqkuNZKLY+0Y16zHMScEZz6ewp1jdbh+ix3rzZphdN2Bh/etQbtcMm/0e4zG D9OxYFcmL/tbsIvTeMmg8JnwSH4IuXcxmKk6ldmFAxgb0AtNPvtFkHeDGK/g x+lpDxDjYUDrvBZE/gjn8qDuLHNywBn/GbD+//MiiwZwSWIwum8cxiF/ZmJi QDnWqMRzbf9+3L8lCQrN/lCZGcFu5Y/x94c8/04axEWNEiqU3EPs00zaH+qM Hxs1+G7+b6Se86fG70PQ2rwFVUvUeeJrFCNO+vKs0xMsOrcdamcOus2W3YDh 6sasVHekQfZ5/HwcQs9JXaC71lo6jy7M8gqmwsEdyHHS55rWMKqFf8AN42a8 7JOPggPR3L8vgnenu/Bz5mDmf0ziI30Fqs2ZCZegkfznvQ1i3x6F/LrNWHd+ KbzLe/KZa2eu6GPGTN0EZqQ349PbSgQ0lsDsvhPuRvSD/voYVtnFo9TCB4s3 ky+yOvF+kS079fUSEgUVXDXszvvBXvRb0Z9X87cjfbk+wwLHcvuVEbi1R5ED QxypUTMTlWlDcalfEofedhLBrzI5eulCseR4Km1somkzIoHPvzpjdv1kzn0Q jmH2XcUVpRaJoqQfPfvcEK9zHog32StxurwUd1WtWFK5ABGz/blb1YTd9YtE zOwm/NPelToHw/hpsx/+Hp+PoioXbJ59EE/Wh+D05bG0LPuM9Rbj2C7TmQ1R OujRksFzncMw8KQ8A+pj+e+b31DwvI6SFS9wbvczaNt148/zSdR2mMag158w 6Eg891yOYNW6YF64O4w9suQ4/q8JiqsH8+K9BlzfbM7MaVr8/ccXPm1NmPXJ EheHBnD18HdYlvETUROTUFiTw9LXBlR4k8u8jH8wTj2Tc+er4WKTC2P6SBmW pIJ9lyYzZHUmvz0x5+oF6jj19TYW9xrPb9OMRd3cSGY+yMHhvrdE260Ifu4R xmdlcqiuyeLyTZHM0x7O+clG1PSYzJj3yTTPVeOceh06QJ7hWzO5T2+FaOw7 gIm5+dxR2YWzw8Oo2NqJOXuC6f5SibMCFdk+Yg/m9/6GRU3V6KpfxPLNPgzN NWNZb2v+cEti9KvJXGfbjdYagzHpTinabK+JuHeK3Dc1js5rn0gb8xEiDy2D /81cuPZP4Jot43G9OR5V2pMRe9kPpdp7IfvDlzvqzoiuKyX8EHhMNPw3lPd/ nsd6yTfsMe5C9a2TubynD+uqYulZp8IZ2RLmdaxBko8We96zcosvj2LPySsk y8ZrM8/Rm+2bAK2UszDt48jDn3QgzpSL1m2XcGbLQWlXNOJPlSYez1go4j9+ gq/cW2w41o8nbn+QBL6SIHHkemHQ5xt2dn2PWZck7H/Dj38+pvBVogxmLQqj ctA1EXn7tVBc8R4ZQ1VosymLhZPDUdujGC9Dk8WXr0NYYJpEN4xhw8g+/H1e gZ0CVXi1XI5vmwKYFmTLlzeN6N/cj0uS1kvbYZ+ojk+EgZ8ROuwdOHV0CTqG 6XLD0p1SH+nFRpV8HP4eh9u+fdhr0BEcvDaWBouNmXrlsThxIYdLDkh4MKEL VwT0YZcxarCc9ABd5UZwbGwe/KNGMn+TCUsc+zHNYBs8+s7DufPTqHFwDZTv rIRmwzr42GTx8y1HHrtVBzWjeXj0aSxrlUfxxxIrKutuxKva5cLpSCm8jsVC ue4sIi878cuFMkzUnMgW58PokWlPz4gazM5vwfebHuwk70L5B7NR4XxVItt6 C+cDtBi3ayDtWrpS5Vosh1VuEy9f/4GsYR943Cvkpud2aFX25Izesoje50eb 7ucwKnUrFOLzKCkbxbdDPIXLRHPqVdrz3iNznHSL5N49qrymul7y+/+OGZTM H7t0xOtGNW62uiCmpqbw3jpfMbmyAeOyf+O7lLcfrv+VhLy8IikqOIEbv7rx el0gB8cE4nFYEIcl9WPB8Xi2DwCvqSfz4o9BbLs9lk8qxnFqpjozcvvT9ZQ1 R6/ZiKxBE3lpQ5UwXaZJ965DuLKRVO+YwILyKBycNNTNa3cK89L6caVqBsyM csSO2WUwmifPmR8uov1nPBfI9+GvV5acLqfNt+c0+UzK1dv7M7B0crSoj5jK ZO1Ennodx92FPtx/qhDVv20Z1E4u8jqGhWMncVZpEnVL98LoqB9fnunNusZw yOj6Mtv4pLBJOYWS0QdRZJ8M702KOLfmE1atnMYn78owf7Astftpcl9Yi0R5 dAr39HmE3HRXBryewLYt49mp6yH010un3pNwjs7fJUZG6bDo9yBEH65EhfoQ 6Xc74ZIQzNk3L6Igsis23I3ipk993aIO3ULKX03xzGMx+h5fLUpOHUHpiAto aPEXHz55I7VbT04afwqmI8dy1OxA7uxsyfbMPaLa5aVwie9Osw0ZNJrXiorN BpxtYIp4zzAetnLj3013hOrgf3G5KJ6SjGe4NvA4XlScknpXOGVDnuJGVmdG T7bBCevZQm3Pb7yzd2ZuoAnVNHrR+ZcpmnrbcOfbkxjbcQKypp3EL2UVPFP7 gHKPCmwsvoknzQeETuk4quea8OybAlzoJyPWtseI+lHbkJhrIvnuPow29sos 1Q/h8ZY4SdYIUIRHYZLVYG4beR1N7Wl811Ar9ZmlWNO2Cz4pNpioeB9eY6bR R96ZDqmfJB4VevTa2lkEpq8U6tPlqLprAs8s84f8nGjJrv//T6TyDvO0Upma oc1RUXKo/OEDv+qpDEgaL/Xcx3hlosyyo4mU1cjjKJMZiPleAVetq5KQQHdq FOVzcZk6Lwd8hd29kUKlI4o5nMI1c6+IGbq7kKD0EYd8u3PKZXf2s5Pn1PG/ MX76XWweu0/IZPTk/NsGvGg4HOd3bhITRo9levkxFIX8ReZJf0neLwWuSLkB Y60SHN6pwaQ7w8XRWcHs21KBobopGDJ6IT4XNMBnyRNs//Ib5/y8GNxUgoLK pzCttufSvt2gnrcWBQt9abbLj8o1CXw6oAejii+LRY2eXDqjgDRegl25fVh9 zIAfrdtwrtUXy+ZaEcq+yLSP4hTdxbh61Y+Tf86FaYiUia87M9PXmXrSY+od 1Y07Z5nRcvRPhE7YisoFujQ7qckBMyczadxkakaVCtF9K9YHTAHq46i1WB96 c2O49fBa9C6JZc5odV596McfYW/w4XghBlRchpP+N1Hr4w75XxdQPmK9WNas xq1bfkCFipzTZsPQzqkc8jucpRd8OMDDl9MH2bJfRioC1aJ4uEKH1Z/scXLY eF6JWSAOLleA52JdXDz7WPjrnsOYveDZ5qVw9g6k1//fz7loMHtplSNqwiQO mKWGV1pFLDoeB3+9Qm5xdaRy2kPkpA1Bq/UnMfRJDHPCHLjGtBX2dy7i3R8b ZgZF0U0jiIolS4W5bz6L1KTN0z+OV5zf4+CUhai7ZoQRPa3Zz6YLc248k5zw MeWi6woMUg1gZLEq/1PXYH8TZZg9ncgH1x1RutyIItiUp05GU8a7GD9TKHVG EwQP0+SG2zn8vNCLC+dvhl9rESYPn4Qxj3ryY/IbnC1KYv9Cwuu7B8N2eeBg 0CFcN9DivmPZHBORwE6xWXzxy5xn7iSLEZrxqAk15v7XTpy4pxpV0rmUGTyF 0cZh1M32ZW6tInve+IvszRJgbxk+3zHh8cRmWJzKYHlgqtSzZFE0NgNB2e9h N0OW7qtDJAltsuKq3HhqJkXw9BcJj2gLPsr7ip474pElU44kIU+jumZMWtWf gQP0ecFvEh+fG8Nxb29hYHsTzMoeik2fr2PlhDCqlx7FKn1/t4QDi2DZO5Rx jkq8pdTFTazKZWy7DKYf7sDzrS7c3yUdmuZNuHVAiXdXdaaBVw6L988QUccs 2HvcYkxz1eHCHjNgenEqa2d6w/zUTVg+qxJZ09Wplb0ehe/caa5mJzF8lMNO g0I5ZIYpX3/biLo3SczO0hfRk7tQTs6LlpuC+SIxl+L6a0Rv1ML7lrVQe9OL B+YdwZU/Pak1IIijGmIobnty1YtoFrzw5X/3RnN49n7s+rYPGTWLsCNOjwPu VcNIbTj9Z4Tg5VzBOU3dsOGxDs8070fp2ml8sdNUnOgzmtX6NrzSWiKm3sui GKNGrcAYrts0DE4f7NlcPYI5T2QY7KTIBv04rvIRXJ8xkSpTHiCy4wJWW0gw 5bEqHyeb46xsG158eowFk8az/9cx/DMjQQR67oFPixH/nIznr2FK6HJLjrf2 zcewB3HU/D6NmsXZdEqWR9rW1ZB/Z0AX9WhRuHGBZFNqBiwGytP8pAN2TfsH pjd3S6K6hXPqU3ecn2dI+Z9LMC2vOxfd8GGAqR3PyBVx2ubTGN4awqnDhrJw g7FYcQZ8//Uddkj7923QI/y6+A+WCXKPkwWth7dCt/tkqhZMonLkUNrPm4FP zlrCYaSr0D8QwQybRShuvYj8Lar0VI+VxBkNYF7bO3H/byWGZ8sjPf0sjrS0 Q878tOT7qjFc4FXI8SEj6VPQmWnzdiNcbQkyDbxQ+K8jbTYE4O3rXA4c3QW3 5oXz6fh6MVshmEfO2PDEkZnoHvcel6zPY0kvF77JVmLu0BIxcY+DpCXZFB8O hKD3hkdYfd4Xw6ZXY37zG/yYYscSA3deuaPHgatsafkjl7vHbMIMHoON9nTc CNmDLZfyeGp8NH36lqLj/jjOuVrs5qhrDs/fp8WC5h0YbvUKY+TN0Bb7ESdG auFzap2kPppiVrwcy5SW4nzRBVFUaMKqFjkRUF4scehxWfS2H4j2maWoimjG 6MuatJ7fn+k9X0KpzZI5K59g/5g8mk9x51958ui8DFp1WOHEKxuEJeezfEYS K+v+wCvEmodUZNmtSxBzv7VKuo0/JF6OKhOLT0Yje4uycDeSY9Syz+Jlrhy7 L3FBpcEt/JTVoVqXifzmNQGdPw/lY/snMKntRJnxIzj+eRrfzB7OVafqkZmv i3HWfTjJJIHLrOZLuh25gS0D8mF5NZQfP00XXtdkGdWwUlzTdaRJ8wXYXFKk n7Rb1BySGL97KNcFdUKGpzJ7XC4DS8P4yPWvGPV+A7ovVUXprjv4cj2D2lFF 7PnQmvP1RjNn4XvIlpdDxhXcen2D5OWElUgo2Szk71VB+b4znR7I0GNNnbCV TOHelQsxZv1inAwZJElfGMXaicuRs3YVPCtnYOv0JLo3WvPf6Tl0GppPD7VY Ll9rwkFdm8WIpkRqaWkxvrM19ucdRmjAHUQ72NHsmQvWxTjgxdY8eK78gJu9 n4o3L/rwo1opDJVOipVX1sBGYwhFgDNf3C2CudE3jChtQPyHT9BTfCjtjXHU n3RJ+Ac9h1VhCudXAadUIlmhMA0yewTv9VyNczd/IvjJUByVhGFQThijPGvF nGXH8WxQhLSLA0TGo30I8tYX62xDKBe4Rxw9VsDqG9kskDbnTeneaOre6Fo5 9yg6DZbDF9tIlhlEMdAwkVsHFVBjWSofhx/GHC9vdLHvjFfBJsjLkhUy31Tp UN2F3fSs2BLek0tjr6OjXp2xDfdwY2C7pGDvMSDfG9N6zceft2FUKhgsNIvn o/GoOu+UfhIbpuuw48oABt75igGtw3hw0mhYTpGnl4USps54iHUazmi+LYPk e1boVd8mEh7fQVtUBtuuOmL61EqM3uqJjf+ls+VjGX5dOi0aj353i9C4BQff jyiNu44T8unsd7QTp/7wYu0UCWvOzkapsQon3T2JG8fNuXClJf5pCOChI3Ow NL87li1x4+pn+ZDxSePhTEfGlR+WdJSfw7o7C9G+LpebfYzpbn1SovLSnptu xjPfcIjoKLOiorR/Zrzei+xjf137OjqwJiwOB5T60WHdTnhvd8aNTy6c1did B72jaSvphuyqUUzf8ApT16zBIVNPXs2T0HG2HUJHefHPiVysuR4j+frCiXUJ r0WjTjRnpv2LP1dVaXXehTmbryBreyDGrNDiz0eH8bQ0AZ+fmHJ4zwheWzuO ZqeG0+PuYlzJOoj6Wk8+7SXh0/8M0XjRiBGzf8FtYS4W5cyG5OhAjHr1AOvy EsXpbVbYvSGa10yUWPylB30ujuA4jw3wH5IqampKhW5zDH3KgsUoozS+CDog 2W9syT+9vyBWzgCDzwexi7s2jn1LoOmrk8hKrkSDezVG9uqOyh43sG2aKesf ZMEyNAk1CirsdGAVhq2vdvvlXYP3QV5sqO7N5Hg9Hi5xQuevC6A/IZjXDQvR /LEL1eSyuTxCluu23YOfwW/UyITzwNInaKjoz3U/k5B735Kvw1bhQ9wESfDI MNTmh9DhszV7FOvwnpYjfWaOx27jJmSaj6Z1xxDuV1FGYlOJKLEo4F1Pfxqe /Ax1JQk8By/H8flhUHe04qzsUdyy1wA7q5Ih31We+U/9qL5gCR6ayOKWsQGO xHjzkeFddG/N5NIfpyRjiyey3CqY1340iNYXqbS5msy0e6dFubYOfxpb0dOk QnxgIR52HcpYuXxs1q2SfDuvxkAnGSa+iuTzHlFcO9OSw44FsO/9Hmy+Echd rhM4+kUCJavk+GROBjo/1OSW4niO/SrLsSt6MMXwKe5b7Ra3fk/g15WnkKQz jQ6Z5tgc7s3l3goIuy6Pu+p96WZogpxL/jxVu0pcaJPlNushrJg/ldFmg2G0 SI6HInPFwOB03gm873bk0FEsXm3GZ4XRDL3cheW5nVjpEIeAU9k0rwObO7eI Z5/bcPh1jJBdlAqvk3UiZNNU3hmbxTVvOrPUbCg9tBS5aukUcSt7BfIddPBy 8AMoHfuJp2Iqyyzq4Lc0nBMeSs/XwpEWI1N49pwPa1a9RY9keXHg6DDm+g6T MmEq/LuOY8uNkaz9MZWehVXIOP4Ad8/mommWMjcnDobHK1tcPuDPdV/00bFi AUJzlOgghtO1+Bi800Lx3mMsRwy/jrw1/cXfy8r8d3cebBd/kxxbMpm7i46K cS6pHN50RKyuWCc61GtwScRB5oY/c/1q8C3emplbnSmnr0dfmyJ2nJ7MYdqb xf3BG2GUG8WJA8rQsFYGVx010cvgMXZ96sYjGMFB8+ohe9qfWL1dlMd5Qbss khe0k2BRuxYyb+rE54KpmDWxk9g9KBcrznhwYdZEPL6hwKExzvw5M4XmVccw J0QDNZGROCKRY8DORyK2y3KEDfyFj3PNabG5BoG++rzsex+bVY7AdOBMsfur EneOSqPOfCVczJBw6YvtwC4NViTLoNJyMeYPcOXXsnaxt4/UGw6EY9HuGPJs Aw67yPF1rC9rK7rh9uRIKl5Q49DV5IZ0IxY9CaPFwY1YNus+5H5sx5dqW57U cWFdYjrPHOzNVf3eoWOcLK8fNsHevOuAWiIv/PRkYGQeNHyKsXf+Qjx7NJXV QV8kEUcN8T8oYmFf "], Editable->False, SelectWithContents->True, Selectable->False], ",", "\"\\"", ",", RowBox[{"ColorSpace", "\[Rule]", "Automatic"}], ",", RowBox[{"Interleaving", "\[Rule]", "None"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3], ",", StyleBox[ RowBox[{ StyleBox["MeshRegion", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "0.1282591222826699`", ",", "0.804880670925791`", ",", "0.8218135757261857`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "6", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{0.8678050716374959, 0.49156148695309354`, 0.7778103906528715}, {0.8933434482620335, 0.21813774193542113`, 0.6988775973202581}, {0.8176852653207709, 0.9836104187534414, 0.05059751074811847}, {0.255324189204887, 0.14449435585429016`, 0.7746209679391896}, {0.3965287184673474, 0.608332585327648, 0.8553055018183175}, {0.8082253162794284, 0.31058971615244, 0.7117090066421365}}]]}], "}"}], ",", RowBox[{"{", RowBox[{ StyleBox["Tetrahedron", FontWeight->Bold], "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"6", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "3", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, {5, 4, 1}]]}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "7", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{2, 6, 4, 1}, {7, 5, 4, 3}, {7, 6, 5, 4}, {7, 2, 4, 3}, {7, 2, 6, 4}, {7, 2, 5, 3}, {7, 2, 6, 5}}]]}], "}"}], "]"}], "}"}], ",", RowBox[{"Method", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{ "\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Identity"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{ "\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"\"\\"", "[", "True", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}], ",", RowBox[{"\"\\"", "\[Rule]", "Automatic"}], ",", RowBox[{"\"\\"", "\[Rule]", "6784263143624334184"}]}], "}"}]}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3], ",", StyleBox[ RowBox[{ StyleBox["Graph", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "2", ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"Null", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "2", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, {{2, 3}, {3, 1}}]]}], "}"}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3], ",", StyleBox[ RowBox[{ StyleBox["SparseArray", FontWeight->Bold], "[", RowBox[{"Automatic", ",", RowBox[{"{", "6", "}"}], ",", "0", ",", RowBox[{"{", RowBox[{"1", ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"{", "5", "}"}], "}"}]}], "}"}], ",", RowBox[{"{", "1", "}"}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3], ",", StyleBox[ RowBox[{ StyleBox["NumericArray", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.9690630597101872`", ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "4", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {0.637472515759927, 0.8908752144776249, 0.5212694227264849, 0.5297731470270679}]]}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "4", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{0.8575385936065743, 0.9224603550771251, 0.08126842156681158, 0.5295833178400577, 0.9500881119273372}, { 0.5774459137076424, 0.1701081583121702, 0.5697691024741329, 0.40537038690308647`, 0.6019653736074384}, {0.37676668654286916`, 0.2884119188673755, 0.9079701619569203, 0.489503222951434, 0.5730852214677709}, {0.7270330973655288, 0.7552730965313477, 0.797878547644358, 0.003913830052174827, 0.041528129993621654`}}]]}], "}"}], ",", "\"\\""}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.85000814848965*^9, 3.8500087470868855`*^9, {3.8500172967103066`*^9, 3.850017323396443*^9}, 3.8500334725448728`*^9, 3.8500493735606203`*^9, 3.8500505949186287`*^9, 3.850050951788812*^9, {3.850097641557433*^9, 3.8500976440657873`*^9}, 3.8501059223428164`*^9, 3.8501060062331505`*^9, 3.85010604374627*^9, 3.8502644750178647`*^9, 3.872481314582212*^9}, CellLabel->"Out[29]=", CellID->77354879,ExpressionUUID->"ced31ba2-431f-4939-a383-078e8f6ba696"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Neat Examples", "\[NonBreakingSpace]", Cell["(3)", "ExampleCount",ExpressionUUID-> "8400da70-c438-4093-a37d-a566031414dc"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellID->461278909,ExpressionUUID->"7fb61b4f-42be-47ac-8ff9-0cf1a9b8c399"], Cell[CellGroupData[{ Cell[TextData[{ "Box structure inspection", "\[NonBreakingSpace]", Cell["(1)", "ExampleCount",ExpressionUUID-> "abbdf14f-2a72-4df7-8b33-8e3fab055f3c"], "\[NonBreakingSpace]" }], "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.850918429996374*^9, 3.85091844781639*^9}}, CellID->65276933,ExpressionUUID->"755b7c51-438a-472a-97a6-036742c696c2"], Cell[TextData[{ "Explore box structures generated by ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["ToBoxes", "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/ToBoxes", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "ef926f4e-c2bf-456f-af47-48ce5ea72afb"], ", taking advantage of the easy-to-read representation generated by ", Cell[BoxData[ StyleBox["ShortInputForm", "InlineResourceFunction"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "dc1f31e6-fd86-4c9b-ac32-3092e5031343"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.8500348585960426`*^9, 3.850034860216161*^9}, {3.850035331058737*^9, 3.850035331271009*^9}, 3.905510965946006*^9}, CellID->216582179,ExpressionUUID->"75b9d50d-4821-429f-bc3b-417e19f60d57"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Graph", "[", RowBox[{"{", RowBox[{ RowBox[{"1", "\[UndirectedEdge]", "2"}], ",", RowBox[{"2", "\[UndirectedEdge]", "3"}], ",", RowBox[{"3", "\[UndirectedEdge]", "1"}]}], "}"}], "]"}], "//", "ToBoxes"}], "//", InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False]}]], "Input", TaggingRules->{}, CellChangeTimes->{3.8499696531613293`*^9}, CellLabel->"In[30]:=", CellID->902451382,ExpressionUUID->"5f397a55-f962-49c9-94da-6f0978f3e469"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["GraphicsBox", FontWeight->Bold], "[", RowBox[{ RowBox[{"NamespaceBox", "[", RowBox[{"\"\\"", ",", RowBox[{ StyleBox["DynamicModuleBox", FrontFaceColor->RGBColor[ Rational[2, 3], 0, 0], BackFaceColor->RGBColor[ Rational[2, 3], 0, 0], FontWeight->Bold, FontColor->RGBColor[ Rational[2, 3], 0, 0], $CellContext`LineColor -> RGBColor[ Rational[2, 3], 0, 0], $CellContext`GraphicsColor -> RGBColor[ Rational[2, 3], 0, 0]], "[", RowBox[{ RowBox[{"{", RowBox[{"Set", "[", RowBox[{"Typeset`graph", ",", RowBox[{"HoldComplete", "[", GraphicsBox[ NamespaceBox["NetworkGraphics", DynamicModuleBox[{Typeset`graph = HoldComplete[ Graph[{1, 2, 3}, {Null, {{1, 2}, {2, 3}, {3, 1}}}]]}, TagBox[GraphicsGroupBox[ GraphicsComplexBox[{{-0.8660254037844384, \ -0.49999999999999933`}, {1.8369701987210297`*^-16, 1.}, { 0.8660254037844389, -0.5000000000000012}}, { {Hue[0.6, 0.7, 0.5], Opacity[0.7], Arrowheads[0.], ArrowBox[{{1, 2}, {1, 3}, {2, 3}}, 0.020399597244776385`]}, {Hue[0.6, 0.2, 0.8], EdgeForm[{GrayLevel[0], Opacity[ 0.7]}], DiskBox[1, 0.020399597244776385], DiskBox[2, 0.020399597244776385], DiskBox[3, 0.020399597244776385]}}]], MouseAppearanceTag["NetworkGraphics"]], AllowKernelInitialization->False]], DefaultBaseStyle->{ "NetworkGraphics", FrontEnd`GraphicsHighlightColor -> Hue[0.8, 1., 0.6]}, FormatType->TraditionalForm, FrameTicks->None], "]"}]}], "]"}], "}"}], ",", RowBox[{"TagBox", "[", RowBox[{ RowBox[{ StyleBox["GraphicsGroupBox", FontWeight->Bold], "[", RowBox[{ StyleBox["GraphicsComplexBox", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "0.8660254037844384`"}], ",", RowBox[{"-", "0.49999999999999933`"}]}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "2", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[ Sequence, {{1.8369701987210297`*^-16, 1.}, { 0.8660254037844389, -0.5000000000000012}}]]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "0.7`", "]"}], ",", TemplateBox[<|"color" -> Hue[0.6, 0.7, 0.5]|>, "HueColorSwatchTemplate"]}], "]"}], ",", RowBox[{"Arrowheads", "[", "0.`", "]"}], ",", RowBox[{"{", RowBox[{ StyleBox["ArrowBox", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "2", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, {{1, 3}, {2, 3}}]]}], "}"}], ",", "0.020399597244776385`"}], "]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ TemplateBox[<|"color" -> Hue[0.6, 0.2, 0.8]|>, "HueColorSwatchTemplate"], ",", RowBox[{ StyleBox["EdgeForm", FrontFaceColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], BackFaceColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], FontWeight->Bold, FontColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], $CellContext`LineColor -> RGBColor[0., 0.25098039215686274`, 0.5019607843137255], $CellContext`GraphicsColor -> RGBColor[0., 0.25098039215686274`, 0.5019607843137255]], "[", RowBox[{"Directive", "[", RowBox[{ TemplateBox[<|"color" -> GrayLevel[0]|>, "GrayLevelColorSwatchTemplate"], ",", RowBox[{"Opacity", "[", "0.7`", "]"}]}], "]"}], "]"}]}], "]"}], ",", RowBox[{ StyleBox["DiskBox", FontWeight->Bold], "[", RowBox[{"1", ",", "0.020399597244776385`"}], "]"}], ",", RowBox[{ StyleBox["DiskBox", FontWeight->Bold], "[", RowBox[{"2", ",", "0.020399597244776385`"}], "]"}], ",", RowBox[{ StyleBox["DiskBox", FontWeight->Bold], "[", RowBox[{"3", ",", "0.020399597244776385`"}], "]"}]}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{ "MouseAppearanceTag", "[", "\"\\"", "]"}]}], "]"}], ",", RowBox[{"AllowKernelInitialization", "\[Rule]", "False"}]}], "]"}]}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"DefaultBaseStyle", "\[Rule]", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"FrontEnd`GraphicsHighlightColor", "\[Rule]", TemplateBox[<|"color" -> Hue[0.8, 1., 0.6]|>, "HueColorSwatchTemplate"]}]}], "}"}]}], ",", RowBox[{"FormatType", "\[Rule]", "TraditionalForm"}], ",", RowBox[{"FrameTicks", "\[Rule]", "None"}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{3.8499696725014334`*^9, 3.8499697231751823`*^9, 3.850049335048441*^9, 3.850050597767556*^9, 3.850050955044063*^9, 3.850097647601492*^9, 3.850264480456459*^9, 3.85305961587547*^9, 3.872481320964786*^9}, CellLabel->"Out[30]=", CellID->155280456,ExpressionUUID->"a456db4a-85e4-4670-9a6d-d256d54ad269"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "PDF formatting", "\[NonBreakingSpace]", Cell["(2)", "ExampleCount",ExpressionUUID-> "21736ffd-3557-42d6-98f6-ef8f27a5d082"], "\[NonBreakingSpace]" }], "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.850918454971903*^9, 3.8509184607789383`*^9}}, CellID->43361967,ExpressionUUID->"c128b9b5-2115-4d6d-8a0c-fba108716ec6"], Cell[TextData[{ "Create an auxiliary function that exports a supplied expression to ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["\"\\"", "StringTypeLink", 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/format/PDF", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "27a06a9e-e7f1-43af-b6d0-f49b799a9132"], " and then immediately imports the results as vector graphics:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.850023213218058*^9, 3.850023248888915*^9}, {3.850023305963209*^9, 3.8500233201070337`*^9}, { 3.850024200093667*^9, 3.850024229384981*^9}, {3.8500253811181307`*^9, 3.850025438740728*^9}, {3.8500278337002697`*^9, 3.8500278533231597`*^9}, { 3.8500280339240904`*^9, 3.850028116282539*^9}, {3.850029319230342*^9, 3.850029319391225*^9}, {3.850030159910728*^9, 3.850030173324005*^9}, { 3.850918471014037*^9, 3.8509184881136*^9}, 3.8530609513329287`*^9, 3.853061124469589*^9, 3.85306120722585*^9}, CellID->853967159,ExpressionUUID->"ac981ad6-5f6c-4eb1-a270-c99e6b5a3c1b"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"vectorExportImportPDF", "[", "expr_", "]"}], ":=", RowBox[{"First", "@", RowBox[{"ImportString", "[", RowBox[{ RowBox[{"ExportString", "[", RowBox[{"expr", ",", "\"\\"", ",", RowBox[{"\"\\"", "->", "False"}]}], "]"}], ",", RowBox[{"If", "[", RowBox[{ RowBox[{"$VersionNumber", ">=", "12.2"}], ",", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], "]"}], ",", RowBox[{"\"\\"", "->", "False"}]}], "]"}]}]}], ";", RowBox[{"graphics2D", "=", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Sin", "[", "x", "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"Axes", "->", "False"}]}], "]"}]}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.850030194026959*^9, 3.8500302393407946`*^9}, { 3.850050987824975*^9, 3.850051012630906*^9}, {3.850110465758856*^9, 3.8501104725174303`*^9}, {3.8501105224136086`*^9, 3.850110527951776*^9}, { 3.8726865569561367`*^9, 3.872686573671723*^9}}, CellLabel->"In[23]:=", CellID->775740019,ExpressionUUID->"8f9668c1-ed86-44fc-9989-11acae287db8"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwtlnk0Vd/7xw2RKdx7DZnuvSg00Vwkz5NmaaCoJJVKypj4RGlQIiQSGSrK kCHRoEQ45iGlKFMkmad7j8zX+DvftX7/nL1ea+199t7v5/1+zlG1djI9K8DH x7eOevxvfHrdWnjVmQCDc/8/Fv9gGx9mnwfjb0szD1HjXGnebTbbA6TWL1sp R41P8wNZQmw/kG2qrW5i+YH9ZjeHcVYk1GLERlNq/DFlGzrISobk3sM1x1SS YX5TmyaHlQVh7asWPpbNguefYy72syrg2JPwa2/HyiEt3a/JXvsXeFZWlIu5 NcI5qI4ccGmHR5dhCf+ONuCLHctuCmiHmsZzsZcs2iBinnLz5/h2MJsbGfvl 2AblFTbM5Lp2kNiSyXc3vA20Dk3HntXrgO5rrzZb9LRBj61magt/J4gejE35 6dsOF0Ku5X0P7gIrkS06X3M7wLFzSXtGWi8MWtK2bxPshlarRpGCil5AkfSD 8+W64WDDXe2vHb1gWEPryNLqho2V3R6din3Qp1F8iLO3GwTfJEjL+fZBUFiB wL3wbojwVDW4fKIfBtMjWE81e6CAoRCpK80Bh7NDB97r9cLawPK87cs4YFPQ 8Gz/nl54IezeYbKDA8HaL1vqj/XCPV6dzgVPDlTVtI288ewF8z+hpVE9HMgR UNwWkNsLfSnSI1P5XHAudrcs39QHYqremn82DoLIJ4945tJ+KNd/oHN9+yBY zkupdtjQDz5HojeomA6C14+zUqnb+kEg+OPOY3aD4HEg9PGoVT9Mzg6cq386 CMsNXtJzQvqhv9ks6ZvAPygcib4mNd4PXyI0l+R/+Qeu4Xb+UW8HwD9j7aoT jf9gX6HE85zcAdj1fYvubOc/aD1+rPZL+QAUz7fcrT/3D+7k3Lqa2TIAOf8F n/+4agiWTY7PZYhy4NUhXvLrR0NgsX4Dc48lB+5LVy59fnIYBFs/JWYOcyBr g8r7fY7DIC+xuWzvDAc6rJxg+uowGOxYMf1VmAubXjEOHQ4fhnLlBP97Clzo 2W15bUHVMGya9LzKb8CFrbc53zw2jUCWhBC3+BYXHFPAQnP3CKyrubGD58+F qOoHHT/NR8D07F9j+YdcGGSt5+m4jMCqb2l7pOO4EJ1zXa0raQSOCp9wGi3g wsSolJup3Cjcj93u6jvFBXUV67k59VGIbdeaf0iAhH3bMvxerRoFzeCsQVFR EhJCjkSL7B0FvWGzjFVyJJjqPC/Luz0K6fvA3VmHhOvmwyb2D0bB5FaLnu86 EpKvbW9WiBmFEzb52r6bSOD70jvomj0Kv0R/RBjuJOGV7WrFZf9GIU3Cf+7F cRIagrzjG2ZHYciDXSt8moR5mXXaPhJjoOqXlb3flgQLoatb/2qOQa//gxdP XEgQiS2yD7cag0u8ugg1HxLWVMiOb7MfAydJcZ/P/iRYDZ7zGvIYA5v/Vtsc CyLhvYHEo71hY9ADjKENESRYNx0iBL+MQfni2pamJBLEHv91uNg4Boemc1o/ ppLw1sJR+U/XGCjwTYTceE2C4C9fj2z+cTAJ+TFTkUlCfEP2mosbxmFf450X piUkGEfsbGvZNg4GirPtnuUkjBz+GWxsOg6eeXp5wZUkbK/ncDQdxuGb5ll0 qyahq5ad1BI7DiKzrwxXNZNwP+yVufHrcbC5IbYiqYWE9WZ6Qtm541BRGRgv 8pcE358HrcMaxuHZWpu1Pp0krAxtlRbsGoeXoQ92x3VT+h10IJyHx2HR7uDO 5F4StH74KBtLToD6AevUSxwSvocwKrOUJiDZz//nepIEd9NnHppLJuBGt871 9kES2PQVWmHrJ6D/8qIkjyESKqqz6gS2TQCqGZnwhklwebDjjrPJBCQmhrhb j5KgaPJjTYvVBPyOm1N+P0bChe8DwVkeE5D18UmjHI8EerAHaPpOwM+DrMHF kyRk7xfmhoZOQL2d3U3mFKW/1MMnArETINxf7cc3TYL4N9Ye5/QJKIp8J/6F 4oz7qbzfORMgyPIS8pohwXKfbtKezxOQxvfpP9Ys5Q/JUvOs+gmYivtnlUhx 6ldTIc3OCSD2luQunCPhUOCfd6FDE/BGrSvkEsXTxvbWAnw8iNGUacmkOF6C J+28gAfRW1gxnRTv/XKH+K3Ig+Xru2unKR4LoDvu0eLB9pfHbs1QHL0nRjlr HQ+cND3juyneIb68UmMrDz7Rjuh/opj7+aNH6AGK30gauVP8yH+7loAVD2x1 vn1lUmxgVFPnZMcD4YcNZWnUebtET9z57c6D0WKPjVoUB1X0r9njw4PLgTR2 AHXfjX7ubR8f8sA1VPJGPaVH6y6hBxrPebD4FGm2gOK7IiEQmsaDvKOGCcsp PVeWM7n8OTwQLUpwWEfp3eD78olTBQ8mibJ0TaoeN3du3PO7jgcrTGzsBSco f8wv4Rl18ODcof3x5VT9vpeaJH38xwMB75NHLlP1dfdpMdeY44Hpf75+UiOU P3bYCYVKTML0k4KNDyh/XCzxtnbSnIQDIRmyJpSfmB07hMfWTALtwYV1aZTf KgVEUzxxErZHPyoa7ydhMQb+8zs6CclEkM6BHhJqrPaHSdtMguKmKKkTXSTc uEbTDXeZBOWQMGuLDhIas8NuxgdMwjq34zZyrST4NB5etCxiEhK2lSnU/6by PqFQ/iZ+Ej65Wm73biIhcF20FJE7CbPaZWLxdSRsef0iupGchLlbTh48Kn/c KlvDk9OTsHLmzUJmBQmPOUu7ukSmIHndD32dUhJGl6avGFGdgvJQrqJ8PtW/ EjJzJA9NQRWj6vTMWxLMiz1Ohp2cgkf941Y+6VQ/aN80T9lhCvwn0rlTL0k4 zs7fs8SHel+x98/UeBJoj8t/bf04BWZhF3mLw0jIy/K//rl4CmSXXWhgPCDB rsFYzaR6CoaYUVbceySUyFaft+qbglz9ugvnvUnwCG6ccFeehuSz1V8uU/3u 750+ubSb02B4faX2hBHVL+JTs9cGToPPi0uVb7aTsKnI0epT5DT0vlY1OIIk hPENJ5S/nQartO7XdlQ/3n11am17xzRkin1d+opJwhtniYMLd88ATXw44CmH C1+iGB6vzGdA7qFMTGQXF7qKFWMMz8zApd7zDjf+cEFRYUm//Y0ZSNbRPSBS zQXvgu23C97PQPt/Lwuk3nHBnH7j3QW1WYiRMFGbdKG+4/o+jXM6s6Dn2Hgx 9AIX/G0C50I3z0J1wWjtQmsuENmP9xBHZsGC6zDy5wAXtE5/bGcEzcLOaltd 2xVcmHz3j5E7NQuDe1yDbNo4INMyoWsqOgfTI2u1Eho4oC3Cd7Jbbg7UEjIM qqo4cNpSMpW2eg5Cnh/nb83mwJd5y7bZ2M6B4c30RIEQDkSbnXGVqp2DiNzn M0b6HHh+1a5v5WE+vIkOiiyvAViZLzrhe5wPuX/uxQW5DUD+vCShP6f5cO3p ZmPu+QFoDexgBzrzYa3GPpX/TAeA+ez44V4/PtQoLvZ+rTYAUcX7i5/n8GHd UIlEPdEPIQvWRtPV+FH5VYSuGqcPbsVMm4wM8GPkzxTmfdleOLDy48Vlw/yY XHy1RE64F5gFlx5Y8/jxw58Ik+CxHshu6/v+XUgA6SH6YF7fA0OLG/e/Ygpg UX25u3ZED1invt9rc0AAF+i4lS2U74EtWY67G94JoGSc/kcFsW7g+9GKOVcE cWw4aZl0WQdouNq4H1oqhNkt6QmbXFugYzTcXDxXGNdbPiqNaakBo84L10Iu imDP5/NObOEPsK8jeBmTKYYc8ySlGSeC6Cuyvln+Shzfl7o3/xD+SWjT6lS2 nliAgtX6W8uWtxJdgV23ws4uwP2LvXseGrYST8XGu7vtFuCQvq2N+ZFWQmLe wrf33BegTuHb9zm3W4m+saM76h4swNQt9poLfrUSCc2/Hc8XL8CFB5LC3nj/ JZSTOomgJZK4k7xOvqxuI8Rg9FTzsCQqlmRej9jZSbhv0RL5MCmJl7+8DJxv 2Ul0bT2WFsQvhYOZzsM2zp1E4a6CSUMpKfz476PvWEQnccU08GHyUikUzG1e c7i3k+g/u7jkv1NSmNz3ooTm20V8uWemRfsmhaXa3U/mf+gm9ILuVvXVSmGw MV45W95NJD345FrcLIUpG4K63/zqJrwfqRZc7pNCjQ/O+nJz3QTz+9hyUkAa nSwLLcR39hB1jYUlZkxpfHRbb/Dxjx5iJ8diXM1MGp8MC56faeklomVu/7hx RBoVP5+8WMHtJUY2vUxvPiaNS5Z9Xnx7tpd45j917pG1NBp3WtgQKn3EpOaT BlFnaRy4eJlucayPSLX+nTXoL43bmj49l/zRR0g3nPDMy5fGjOx96csy+gmb Od8jSsXSWPXs6uuIgn4iR+P1WvcyaUw+9pkxVNVPnHfj46yqksbZbcym8739 RCH9+fGEJmkU7vp7zl5lgHDd22Zwb0waP+ys83rvNUA0FJ7ht1hOw1hNoxbF TRxicMsvxWs6NBRwNNLftZ1DzC/Yv/bZahoudMTI0/s5xHpC71zXRhrO/NLb cOY0hwj9JP3VZTsNv48wjtzz5xD7M3IiAqxo+Ldny7hLLYewWbP6bdopGvZP TLpca+EQ198mVlafoWHPaocgt24Okfo6ZFbejoZH11wO1eZxCLFXtmfiL9NQ SMllQ5ESlyhNkFmZG0xDT/O6XS7HuUTLIv/drQ9p+Oz2sOmhs1xiNG7OWjCc mp/YmKLuwCUWxfaF7X5KQz/d2pX+nlziVnT+VG0yDdve/Kb9F8UlDMLty7iF NOSyC1eW1HAJc7m2VlopDQuO6A96NHIJh7DDk2sraGj5WvKDUiuXePLQcMXV bzTUMv5vmwaHS0wGLXw4v5mGFkW8aXNhknh/t9iKPUpDw48Bd9XXkUSSUeVC 3wlKn+6QWuVNJBElUVPDmaLhNr2vgXNIEjeD/+z4JEBHEW6ntpcxSRhHTGqb S9PRoOpOvqs1SYAFf28Og45x8iHDH8+RxGplkTh1eTr+MQq+2GVPEvLPZOX/ qdBxnYkHzPxHEm2JK+cCllHzE9bnKfiTRO35DVlD2nS8tCSiPfE+SZQvM7h0 dDUdhWVKNrAeksSr9D3dGrp0fDjw4kTFY5Jwz7T5VrCDjvIbVh4WTyUJOw8H Py0jOqpKsZ60pZOE1SbXrUF76SgdXjMe+44kthJemZaH6Li2JK+nJZskJMue xIyfomPina+2W8tJgt8v7qjVWWq/liCl05UkMWKUwiixpeOpg2ur7apIorEq 0zfEiY5qdQ76G3+SxJfgvC08FzoGhldzpupIIs+0ZOrEf3QU+psRmdRIEvF1 NU4rrtEx+va+xpwWkgiPaFwSepOO/2UfOb/oL0n4W7S2T96m7rvBf8C1nSSc WjiHy/3peF2ssOR7N0lYPxuh6dyno1vI84XNvSRxyHqqMuwBHV+UWhz53k8S el0ieDqCjivliiMukSSxIklqsuIxHWWbax6p/SMJ9gW5jJUxdFyf4O6ZPUQS 9OUqjuGxdLTwvr9r0whJCHHVtWYT6CiJs7z4UZKYSF/adiaZjjYHC4PGx0ii 7+KqJ5WpdMzhdoqsmSCJ32s2mq9+TcezE95nDvNI4vuogXTkOzruX/Dl+ZlJ kijK3P557gMdn3lNEBZTJPHBw9jbJpuOW04dydOdpvy16aDB11w6HnM2esI/ QxKPZ45OrCmgY80yg6NvKb5PnHwbVUzH5Ip3I3tmKb95nbPnL6ejla6+YxXF l7Y6athW0nHzIo8S3TmSsBFya62qomM8R3kykGJFVkX9VDUdfzXjhzKKqzaq fNOqpWO+5+KdHIpvmV4sNWugYwPrXeosxevtS3JvNdFR5ltL1xTFfXcU3qe3 0LF5d8poB8XRMQ6pzX/pKCq8qDGLYtOsgjjRTjp26px7cIVi4R+yj9f3UP5K eczUpDh74HzI6X46Oi0Yu0lQ53UUzvML5tJRMDnz41aK1dh0r9x/dCz30i59 R923TtfGvW+Ejp6m75OlKPY/mO0kP0FHx4B3pw9Tehk4SJ7bNkXlxfTpiD+l 55CPtdXFWTraeQ1bplB6Jzz7YBbNz0DLpK1P31P1OJIttrdyHgNTxLQ+pFL1 kvhptW1iPgPJmJ1JQeMk4Tp//hpTSQbKFzGUFKh6a6keW3qDxkC1/L1PiWGS aNZLV02VYaDn199TJpRftjkelhZWYmD0kxcmepS/Jnxfzl/DZKC6RY1RMIck Up/PzZ5QZeBqpt6iGsqPMrWJnCxNBjrr63gq9JBEx6aJzw5rGRhpHdz24Q9J RJgZF0ZtYKCr7KI5u99U/3B6llWmx8D8k2zhBU0kkRG7K0l1CwML3h5tpFN5 8haNvFO7l4F2J4oLVlB53KjO8RQwYeCfPbpWhlReB/S3uOocYuATH4chwxIq H8691n4WDPQwSxcVIUhiUb0ubj5Hna8nalnsG5JoGAzccOECAwMuZOTKpZHE PbE27XAHBvZPih+5nELlfbO/yr9LDGyeiUubjiWJ4vhfk/E3Gaide11jIdV/ TrtcfS8RxcC2V0a3Qp0o/6xueb/kKQPD4aFI+wWSEBvCDzueMbDxYZQP04Yk Xl8Uzrz5goHzblx3s7QkiWnnBx9H3lL6Ku93GdlJEo+cEj81VzIwWPTcy3Al kjivI5bDq2IgSh1WzZQlCX3SPkeuhlq/L7qwSIok2h1X5x5oYOCD1clh8YIk sdIxN6+4g4Gshw6d3n1cosL+R0HqDAO/7W69X5RB9f/l6wsr+GRwh0zm7cxX XMJ5IKKwS1AGNbZ2tkW84BJy9lZFbDGK7z78px7BJazteotD5WTwrgxReewK l5g+P1fmqSODB8IPuJpv4hI655ZVGZ+Swfq77V2R6Ryi5TzL6dUZGeST9Sx2 T+AQ9+wZ0pK2MkhrXXrD8DGH6L04ZfLNUQazY3hJj3w4RJxnZa2JpwwuMO97 amjJIeRD7H6bh8vg7J/47HRBDjGX83Lg5FcZDAzbtV5+6wCRRsQEFnyXwWtX HIdOrh8gLAsfaqv9lMGAl9YPHi0ZILLKrjq3/5JBYTWDJyVSA8Slmj0jZ3tk cHVHVM+apn6iu7t/6oKgLEYsMHt+1LGf+EZfLu6mK4uOaatiJH36qHw59D7W l0WBXRYr+i/3EWllaWWFIIvPz3oZZ57vI+57rvKW3iGLpQylU8y9fYRx1/qZ l6ayqHuno1mL0Ud8ztpCttnJInu7tviGJ71EycnDPw5Ey6JglPxrj9ge4lPa rcfLBeWwqevh5iKvLkLY2EwxXFgO9U1Zg3sduwiTXs1IfjE53N/4cUe5RRfR rf71UZ20HAaHySrcW9NFMCLlQ24y5XB5g0iHSUcnYXc79e5PXTlc6tpW0mbY SSgdqXPzdJbD45LWL71G2omr/EsPfPkth8KjO87Jr/hLiDVf2eWYIY/vnI92 njxeR3S+UA2N8VyI9MW3rW6GFhOhWgrzsswU8EyJb7BwczIER9mUnWIr4nJ+ FaapxzewCD1eJdGtiN9lxf3+2jTBxLYEXkyeEtouzCgQv9gOnp9ibhcXKGHi vq2zM97twLc6akFvsRIKs1Zrd0S0w3xWkOrqSiVU9mFsuJffDnI8993F9Uro J/Hl0W6pDljzyjiyZ1AJFdxWjTmmdICj7MjGVerKSNd7vYBW3wlDAdxCMw1l rLTedv1Cbye4CfQaX1mijHdpy20/THWCJ/n7ZJGOMj4e+H5lMbsLAirK7prp K6N50tZTJ2y7IOna4wYPM2U0cNhybeNYF7R3GroX+irjoMBT8bXze8Awpip2 aYAy6hz9ab9MoQeeHbH4GnJfGWVfZJrSlvWAVeVFtdNhynjmTIx70r4e+PX6 2RfBOGVc6uVfLBDWAzVXZ9nb85SRL6xoqyWzFwpp2RVlI8q4T+9NqbF6H6hW bh/RmVDGQ1v+BE+v7oOb3tXMiCllnIsMORpp2AcG4z2XbAVU0PPS7qzIU32Q 3SzPFJVWwctN6J4R3QdvE91cjJapIJ1+7tAu2X6I3bxK6espFYzhe2gfM9wP hfvEbk+dUcHPHxd7Ts71Q9uJ9r4ltioY2FxQu1ViANRvhWX7OKpgt5f4rueL BiC+lHcUr6qg+PUFpj6HBiBhf2HEu1AVvNG39MLQ6wEoPfmYry1cBX8et7uv nTMAXRddbaUfq+CVtuQ7R8oGQCNUY6PDcxWMiON8d/s9AC8a/Os10lRQ9fQr +VoRDiSdOigXVaaCLUIzrmxLDpS7LL9e/lkFl0aIP1xvw4Ge20JdY19VUMQl YKGeMwe0XmS+P/hTBdPzQlHUmwPJfUpmC/6q4ElPC/OyFA6kXOp4eHNSBSUW jezJHeHAqztutHMrmPj5cY+d7RUuDOgfv3VnJRNrq18E8ry4sHxk23DcGiZG f2eru/txIcVaprZVl4l18QrhmyO4kATvIix2MDGwwESjN4ML8bxB1r4TTCyR j2MTfVzoeN0QbG/NRJVGJdfF/7igbpvPH3CWiQHXssbdx7kQWxfUXmbHRO/T Eje7BUmIeaeduMWdiUFfVy5vUyIhysFee90DJlpbqFcb7SLh16JDMQdDmdhv 7eFyay8JCs2bpF3Cmbg+/4t4oikJEUbiQ2lPmbh3w6hCpiUJYZop77VSmNgt HbV/yImEny0PNHa+YmJaad2xB64kyDzyCD/7molRn0x2qXiQEDJvt0fsByam eMx9mPIiIfhvt75yERMlc948qwkh4XvEt1d6pUx09BU+0/CIBKkDmcyjFUws DSkc+hxFwv08H75H35iof6fN9r9YEu49Xlws1czE60yny12vSfhiumCd9h8m 1lw9amaaQYK42GiCcRsTtx0jBlIySfB3L/b162Gi2rouUMsjwdfs9B7BUSY+ Xxm4ZclnEmL3N1uenWCiIlk2sP4rCTm7zRzLppjY9uR0w4rvJAxt3vkgQICF 5oGmtvW1JEhszI/lCLFwbXeEiH8DCZqrdTP2i7LwzSmNv4ubSLDUWFbPkGah t/LrNQqtJFxmx/e4MVjo/F01xbmN0kNRZbJejoVp90tM3nSQUCYppfJEhYV/ bmzR5vaQ0CZyV3uWzULTl7STfX0kTAvw48lFLNz8UzD32wAJq8eHrBctY6Fk +r8hs0ES9v6zc/XRZqEEv23F2D8SbPs77vSsYuHtkNGSm8Mk3Oo8Hm60joU7 gm52D4+Q8PRPXVLqRhYGe84tPzBGwsfG/dmS+izM0PUICxsnoeZHeaUzsLCZ T4hdPEEC5+uW3zWGLHxx7nNlE48EkfJs7todLCw6wR/RPEmCeuEavvDdLPTd MHS7dIoEg5xUGs+YheejRu9HTpNw5MNi9WMHWHjtgetHsxkSLr2OXpt7kIVt t3vmJim+nyK/g3WYhcobms74zZKQFB982MuChU7furr45kgoihY9336chYu/ v79ziuKWiFtXtp9iYaWS4JaXFPNCpgISz7Dw9EjkwhaKZQJdn4rasjBgykxi kmJtX06anR0LQ1arK89RvNvLJv+rIwuDJmf+978NZ67+qdZxYaGFzHBQMcXX 3Y60P3Cj1j9jjXhTHOlUPTLszkIr1htXbYozzhsJm3uyMNK5k1ZAnffb6SL5 jzdYaPlD7Is+xX3H9Zco3mZhb+eNuOfU/eYdea/n6UOdL+FdBEnpwTLVNm7x Y6GHw+JUDYr1jBOPYyALGRNnWnZQ+h3awXaKDWZhpyV95QFKXyeMvDkvlIXT 0i3PDSn9/fXoITbhLNzZdXctk6pPwtqAuPIoFgqKd/S0UfXM1573fmk0C3VE q4ngURJG1cbqufEsTLy5sTFxiARpFafeA0kszK4pU6FRflkq3zP59iUL96bR /U6TJJwU/6Vy+S0LvW59bCjqJ+GK0EGdxvcsfCfzkqjupfI/V4mbsliYdOpu TXk3CZ+Hc0/PESy8Idzl5dJOwrrm58m+X1no6Da8JqOR2k/bdiL9O5WXTktC t56EgRvaOxt+sNAz8cullz9JiFf/1KH1i4XVBkutDn6j6mf3k/W5i5q/54bt +yISBnOiHId6Wdh4wMbuST6Vd8lTuYocFv4avpDglEuC91uOhd0wC7+wi0p/ fSBh0lNwjzAfG7v2KPGKkkjoSbBxieJnY7myECmRQEJdVUWktiAbtUo2rjB8 TsJbdnCPuTAbrU/NBFyMJOFCsbJPogQbz/gsWdhxl4RG8fUFuxTYmKr7Jkfx DAmlayN7mhXZKNIV4rDkBOWH49NSF5XZaHXdKGSRBdXf0gutIllsbB+r2Nq6 n4RdB/dP9y5mo2ljxHMHPSpvUbYbAlaz0SaoYFu7OAkviiqtWGvZ2Ln6V3G2 EAmhA9o+79ax8db2W4PX57jgbDD6s2kjG/dpyVl8HeKCVpuXy3Kg1p+Y13Wr gQsRSx6/+rqHjW50ms+hZ1wYGd6RcHsvG1clGayyoL4n+/OGnujuZ+O7PAuP 3cFcED5odC/BlI3nR0QnOm5wwc2Td+HaUTZGPL17RNqKC6bfDmutOMfG8flP FhvIcSEtUpDdbsvGN4H3fFsluCB6Jl0+8gIbr4pcGbAX5EL+hPB8IUc2El+F mrYOckBH7UNnsysbJQbdpfvLOSDhJhN37xYbF08LGCz+jwO2kB9l6M1GtYLU lXZ2HCgStQ+ZuMPG5q+Xnzw+yYEr0UVeZ/zYmPl98dwnIw70lrmc1A9mo63P 5popFQ6UKlarDDxlo2K0D+d6/gDcyA+M2JPFRnb6c7nvo/3Q9zs/lJfNxqVi nUszevrBfGo4ODGHqu8i2WDvpn5Yvt7CTzCfuo+/p0tffj80vNS48qmUjUIW 62Iq/fthdThxbNlPNk7+/ik4oNgPXQ7/mOIkG3vcRpj9y/tgr5JZwudFquhx T2kFKPZARId2/jENVQzPX26aLdoDHa9EmgY0VXEy0PeDBq8bPDFHWmqZKsYm /zz7o74bUs+qex5cpYoS6q3XroV2g9jrf6bNm1XRnvUsWUW8G8q23efjmqsi a4m5XQOnE7Y4lh2j+ami2PpHyxMD2iFG2XrRl1FV9Bu7UrTlbhMsKkp8tO+Y Gqa++WEwpfsNglcULq3JU0Od2A/+BokpYDM8r7piqTqemZp/69rmYsL6zRDb L0gd1ThpnMiddYT9rYPTRg/UUf6ygtEuzzrC7WBGvcRDdZSzLzDqfF1H3B11 ux/8SB3NXp141KdQT6Tp8qbCn6qjwPaBHpX+eoJXMFf34qU6PlUV1Zvn30gE 10gEFpep4+7ZF/4fPzYTUXEOtj4V6ih0ePgHp6+ZiHOt2rqrUh2ZMXs/S6j8 Jj7IBU9WVqnjD1V39flev4lmC4btj1p11KfdO9C7s4XQbFfY2taujsuPOMsb Vv8hVmZcYcZ3UvsfjVPk428l9O408c52q2PcnZwqU4VWwljz6evePnXk+2zT VLO7lXCxYzP//VPH4a6NVzeltBKe+l68t8PqSIskE9cVthJ3FrT9dB2l9CBS O9R+tRIR6XEBExPq+Hmh9bY60b9E7M1557In1ZG3z9fwiepf4qXJWUPPaXXM VFww30z3L5GhVqpiMEutPxd3g8/kL5E3rMGbm1On/jfnRUXb/iX+D01y2q0= "]]}, Annotation[#, "Charting`Private`Tag$313436#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {-0.9999993680039507, 0.9999995755730018}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", TaggingRules->{}, CellChangeTimes->{3.872686574477778*^9}, CellLabel->"Out[23]=", CellID->896981776,ExpressionUUID->"60a16d67-4b47-42aa-9619-766a9a8c90c2"] }, Open ]], Cell[TextData[{ "Inspect the internal contents of returned graphics with ", Cell[BoxData[ StyleBox["ShortInputForm", "InlineResourceFunction"]], "InlineFormula", FontFamily->"Source Sans Pro",ExpressionUUID-> "cbdaf5ca-76a3-4f9e-8f4a-3535b35c4733"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.849967413425687*^9, 3.8499674610960927`*^9}, { 3.8499676482661657`*^9, 3.849967657455209*^9}, 3.8499680341637225`*^9, { 3.849968707229364*^9, 3.8499688589564962`*^9}, {3.849968890689176*^9, 3.849968892132203*^9}, {3.849969025339994*^9, 3.8499690295402803`*^9}, { 3.849969202017625*^9, 3.8499692266891727`*^9}, {3.849969623052128*^9, 3.8499696613580084`*^9}, {3.8499696975901375`*^9, 3.849969717288666*^9}, { 3.849970103656994*^9, 3.8499701356086316`*^9}, {3.850023213218058*^9, 3.850023248888915*^9}, {3.850023305963209*^9, 3.8500233201070337`*^9}, { 3.850024200093667*^9, 3.850024229384981*^9}, {3.8500253811181307`*^9, 3.850025438740728*^9}, {3.8500278337002697`*^9, 3.8500278533231597`*^9}, { 3.8500280339240904`*^9, 3.850028116282539*^9}, {3.850029319230342*^9, 3.850029319391225*^9}, {3.8500301508132286`*^9, 3.850030151141782*^9}, { 3.8500302993807373`*^9, 3.850030336796032*^9}, {3.85003182427639*^9, 3.8500318262746964`*^9}}, CellID->132168209,ExpressionUUID->"04b35fc9-4361-44f3-8fce-5c226978f939"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"graphics3D", "=", RowBox[{"ListPlot3D", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"1", ",", "0", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "1", ",", "0"}], "}"}]}], "}"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "[", RowBox[{"vectorExportImportPDF", "[", "graphics2D", "]"}], "]"}]}], "Input",\ TaggingRules->{}, CellChangeTimes->{{3.850025453998353*^9, 3.850025526161663*^9}, { 3.8500279261466637`*^9, 3.850027985355708*^9}, {3.8500281479562693`*^9, 3.8500281481074023`*^9}, {3.850028233530115*^9, 3.850028239411446*^9}, { 3.850028428930088*^9, 3.8500284355926156`*^9}, {3.850028470513025*^9, 3.850028490043507*^9}, {3.8500285278249736`*^9, 3.8500285786056256`*^9}, { 3.8500286355164623`*^9, 3.8500286521077795`*^9}, {3.850030265086974*^9, 3.85003027869147*^9}, 3.8500304464147277`*^9, 3.850110631004364*^9, 3.850111078348303*^9, 3.872686542240242*^9, {3.872686577000134*^9, 3.8726865790710707`*^9}}, CellLabel->"In[24]:=", CellID->325845558,ExpressionUUID->"355de898-75d0-4639-82a5-8999229e49ea"], Cell[BoxData[ StyleBox[ RowBox[{ StyleBox["Graphics", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Thickness", "[", "0.0038461538461538464`", "]"}], ",", RowBox[{"Style", "[", RowBox[{ RowBox[{"{", RowBox[{ StyleBox["JoinedCurve", FontWeight->Bold], "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "2", ",", "0"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "489", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJxTTMoPSmJiYGB4ycjAwAykGRhH0SgaRaNoFA0xBABsmAR/ "]]]}], "}"}], "}"}], ",", RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"5.184000015258789`", ",", "80.9020004272461`"}], "}"}], ",", InterpretationBox[ StyleBox[ RowBox[{"\[LeftSkeleton]", "490", "\[RightSkeleton]"}], Selectable->False, StripOnInput->False, FrontFaceColor->GrayLevel[0.5], BackFaceColor->GrayLevel[0.5], FontColor->GrayLevel[0.5], $CellContext`LineColor -> GrayLevel[0.5], $CellContext`GraphicsColor -> GrayLevel[0.5]], Apply[Sequence, CompressedData[" 1:eJxV2X9cVHW6B/DjNBGxaOiyikk0TgZoZGaKP2BkxpEBTTHNNbwijpMKUhlx WZYUcWgkJLJo87q7Gc3wcm/lrqbXtV3yjnSc9bLmJVdxI3aVGKIUzV8kXkUY 2JnP55n7gv759vb5nu+P58yc852H8baXl67TKIpyeZiiBFr/f6754T8z4v/S lwVae0QmrNMuh41/usn41gJYF5owBtb8gf3rnWPRLzT65xzHHhNoXR4frJ4c PwH/Xnb0OfQ799nkQHvDt3Yl+j24eFqgfWbWtuxA6/UVwtXm3bD94m4433CI 8d5LdH0brMaUT8e/F89aHWit7UcScb2pE3Zdj5sVaJPbfm1F/OJmeErrPtjY 9jf4RO0xxiOKZwfafdGXYfXWiaRAe7BmxhqMd7MV3m5KhtWuH+Fun5Hxq9HJ XO8C2Pp9PhzhyILto8caJE9ruJ8NcwLtaf1fGL9aAqe3N8j11bDqPMl4RB3c 2XuGvhSSEmhb9ng5f9TvUri/Po7fs9EYaBtrn7RhnIJiOM89Dba+/ZqR+ZkB K9pdcJR2DvvnHzUyHwtgY2i4KdDOta5h/NbHcP9AFV34R3ib+hbsKjwr3gV7 b/pMzJeL8a6lcwPtQtthOn8VXO/8E12QC09urZP1bJnL+Y/C9usfzeX6GiTu g6dlN8v+RpkZ/6f0j4OXdbRKfKmZ6/mOHrHKzPkvcL87cuAMW6fEt8CHan6Q +EdwZ28XXeWW8brp8CYz83tb4n1mrt9Hh903j/P1S/9RsP+/5xmPg++WamBd 5RK4SX8fHZoFv2EKpSvWwyUp9/P68s1wfNZPYKX/d/Bp/QOw2nNK5h9FF9yB T9b+DHZ1aVIDbb5hNJ0/HA7XjOH4Ix5P5f2Jgq07ZqRyf2MZD12YyvU/KOtb LtePo0PWpHJ94vIX4NltYm0RvN0UTTvscJ5brKmC62Ie4v4UF1ztob29e+Eo bQy96TA8LVvcU5/K/YuLv4C3qbR6+6ys92HGb/rgayW06/p9lkB7qIY2ViUP dViaZXB///0b6vKVFu5frF1v4f2hFUe+ZfD8Os1my+D1KWXllsHr9+/cMnh/ ytb3LEP2X3IADimT/BR/ZhmcP1fRKXihjflVb7VYBt8P182rlsH3z7rjtmXI /a0clhZoL/SOlc9bJNzt4+dDLYqBIx20qyAeTm6Tz1Nochr3N1r2lwrvix4t 618Mz7UGP5+2NO47Uu53pcwXwXjhu/AbJto6oiaN+X5A8nsQrvYMl/18LeuX 709lu4zH75ei+UHmo71F/WnMb4is99H0QNtYO0zW+0Q698vvs/fWTHinecCG 8asWwpNb+2C18N/TmQ8+L3SVx+A89xVa879yPZ8/Sv/f4bc8l2zMZyccfH55 Sx6Yz/17Gc9fBSdmN8H26znzub7TsPXtAvhu6Smub0eF9D9Jhx+Cl3Uc43oq QhZwvQfo8nHwaf0fuD7HFDjf8CGtWQlvN70v6zsAN+kr6E3HFzB/ZcxH8T/g /oHN9O17nuZ682W/mXCGLVPyNWxhoC2qf0Ty9ZOF7K+TfEXC/s+7XB8P3ykd zbjyjMTv53p6PoBLUq7yfTzCsCjQdvb+F9//BcUZ7P/4Gu6/Cn7GNkHevx/A B2vGwUrZ/2Qwf/fzfd01anGgDS37HucNV/5+uNrzW54/il95htddxXlGF3Js SaC1p3yZhdZwdynm6a1cAXsW4VxmrWvgeUyzG63dfA/6WY+cWR5ojaEJ2Idd 1WfC5Un4Hlvr42C1Sw+rmxLo0jDYWJGYKfcllfPOh+0FxamyXjqiTt5jKscP MeG950pZhXUq5ZuNnN9Gb14LewdyuI/8RbBVLWBc0Um8gtZU4ZyjbD1EX46d w/Xf92/wtZIk5mk4ffvZJPYfRfdNTOJ6HqIjWmYzPpXWJtL9WXT03ZkY33CI 7vkA50xly5/pzs2w3e2W8TJha9Jf6SsjE5n38/Sl16dznhCcg5XRr+Jcaz2y gu7eMhWuy6YHVsO6io10x710uYO+UP0k97ufHndgCuIhw/A5USZF49xt99xL R157nPkPo/s/h72bIulv19EDcbTn04RAq/Zk0M3PP4b47WfpC0mwejwzS/b7 GPNpo8M8k7AebRF9I24S532fVpSJGK+3lo4/H4981X1In/ozrHMcpGcWMj7r OB16JQ77Mf8Q3F8sx71Be/9G93fTCYdimd9++vQvacOoVXBsCOxKm0XPnvYo 5quYQ0dEwWqDme724XeOriKDTj5Jlz9P38ihtRvpUzMmMF/F9Jww2O7ZIfMd fgTzm9+l652wTrNnleSfcVMdPSka9v/OCo4H21UPfb5HD6d8KetvgZWt39Lx 78Ne3xVasbN//W3623V65keD313K3xfR7vBs2Q+v7x1JhyVw/C1j6MbxEh9P Nw3n9UlxdGwI7H/e0J294xmfQYdegb2bkunmDsaPmOjEbxjvsdDaZsbrltNR x+lZWXT/57BavIb+52ewK+0VOvIT2FhRJPPvo0NL6L690r+M/vY/YV3F67K+ PYw3VA2x/Xg1fbKW6y3eO8T21E+GXp9ydMh83t5jQ9bj7WkYsl4l5Azt+ZTX e74asj+r/G72fx9p93f0lBOy/mv0lTN0+U06ooV23KHnenm9QbOa6+H9Mc4K p+X+6bSj6eD9PjKRnjwVNtZNpn80wGrDU/SUdFgpM9CJ2XrmewntfZv9U5fT 8vm1m1eulnzx+v619IQG9j9eTI/QyPfjNbpxPKxuepOOmse4yUU3VD3C/P2V DkuYwPw1iufy+1x8htYu5/fZfE7me02eD9dkP9+wvzMM73n/5wfPE1fMcLr/ c9h/fqPjz8NWWyR9ZSSfZ9oY+sFtsNH6JO35BZ6H1ranaO0uPh8NiRL/FFb1 SeJb7O+eR3duxvNV1WXSEb/B89nYXko3Dcf7wKvbRvdtSOD8lfSUEwmc/106 9nW8T4ytH8t6Rj/B8ZpkviS8v3TWVnr8QbrtIt3xKN93rX30xXFPodXE8Vx1 OXY6559IX7JM5/yPSXw9bHdPEX/I9+/W2XTfRLyfXdEZtDZxBsf7BX0jB3Ui ez3rNErX1Dm8nnUapSebdZqYL2hNFazLPkVHfcf+/S30vbtwfrEarsHGkDKe h9xRNoxT3IM6id3zko3jjcP5yuqOlN8h53DuNdoOyu/UZ5dw/hVr0U/V89yn /h9cbfqY57KUd9ZhXSFdK3k/Zq4PtPnuBHwujVlJsP8Fu5rzG+BqsxlWnXNh b/EKnkcdC+EI7ev8XCvW9ZynFfbqK+DfmM28b2WV7O9Ih3XKm3Bj7SLW41qr 4eS253j+db4Hbze9yPqc4RP4hG6nlfN8BXf7vBxfaYH3RV/g+G1tcF3MLca3 XoZv+EJ5/q4ZgA/WPEFHT8ph/1d5ft8zLYfreINxcwo8s203z/uOZXBJylHe x/ZSiffS1jI4PmuA9bp6B7xN1dhg93b4RC1/b6jOX8Gn9WNgY/aHsh7W7/zf H3ihjfU7//2Hqz0Gjmc4Ai/tmA8r2lNwsF6nOE7nMJ9rac1ZOFyTY2O+voab 97wIuzzt8LWSX8Le2lsy/5uMxzyUG2j9v4fomofh4zrW8/zvezjfwHqesT0W Tsw+wvieKfDdUg/nV+bBjbVnZP+WXObvrOw/HS5N+Yr5ql0E57lbeH3Wc7lc bxvzoebB/QP8vWxNeSmX+bgq630ZTm+/xusdhbnMJ+t5ruhSuEl/W9ZrhzNs dyR/DvgtT4/kryKX+e2TfL0Dd/uknpe9C95pvof1CfNuWc+9wfqcmPUHXdZH kq8w1ic69ko+WM9TnZ/AdTGsXxhtdXCkg/UOtfYoXGBgfc/Y7oGT237KuO6E zMd6is76JRysv6jOJtj/AJP6UgtcksL6jhrzPVxUL/Wg+ouwRxct+70MN++h XTXXZT7Wm+yGH+V+08bWbjhYr9JlDcD/X/9yhG8ItMH6mrVj5BDrHJEbuB6p 1+nHDIm7PGOHXm+LhoP1OEXz8BC7TBM28H5JPa89dsPg9ShlE+H0dq7X//6F 90XL+pVpcLAeqToT4WD9zdqWBAfrmWqMCQ7W2+z1ZvhKyTjJp0XmD8afhoP1 Nl12how/VvK7XPbL+prdbYUnt0bK5+95eLtJ6me162Q++Xw48+DO3pGSr0J4 mzpC8lEEL+vg58+e8irc7Qtnf0MpfFov9WdlOxysXytb35B8sX6ma31TrtfK /X1H5mP9W63ZLf1ZL3eZD8j9vkmbDsv1N2zM52fSn99vRfOXDVwH6/mqs1ny eY7x/ha4JOUf9JZz8nn4GjbavHByG59HdsNleJSjkfEOH9y8x83rHUpeoA0+ 71zme+AGXZ3EQ/OY7z9yPfqfwhd690o8Hn7L8x8SfyqP+eTfW/zv5zzuxy77 exbOc+fC3tqfwydr18n6M+F6p43j1a7K4/qzOJ4pN4/7WyzxLbC2bDqt+xiO cPDvS3b193Cu+w7fh9b9sP99y/qY8xDcWMv6mdfnhmdmfyN//zoDp7fXy/ux l/G2zRwva/EL7M/3ucuzBK72tNOmZXC37zzPCzEr4MM1Z3meaLfBL7pVOrsI 7uxlfc2aUiPjzed45h9gV0MS/55o2/lioL1RehfnJbth6kuBNj/Jmcn9NL7E fUzEecvYWriR67IuYf5Hvozrdlx8muNFwsqrX8D+5xNsDN0H6xzRjIe8wnhJ HK3pXcD8Gti/ciSs9OcyXmFJZ/5eoLdOSme7EVZvDod1SiHj2uY05qeU42nX w1b3TvYv2G7hft+T+ZZIfdAp6xnH+qDz9zL+/lSubz/32/Ur1gN1B2mpD/rf T5KPuFSO898cfwT/rqQ4VDqiZZ7xX6OKXzs= "]]]}], "}"}], "}"}], ",", RowBox[{"CurveClosed", "\[Rule]", RowBox[{"{", "0", "}"}]}]}], "]"}], "}"}], ",", RowBox[{ StyleBox["JoinForm", FrontFaceColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], BackFaceColor->RGBColor[ 0., 0.25098039215686274`, 0.5019607843137255], FontWeight->Bold, FontColor->RGBColor[0., 0.25098039215686274`, 0.5019607843137255], $CellContext`LineColor -> RGBColor[0., 0.25098039215686274`, 0.5019607843137255], $CellContext`GraphicsColor -> RGBColor[0., 0.25098039215686274`, 0.5019607843137255]], "[", RowBox[{"{", RowBox[{"\"\\"", ",", "10.`"}], "}"}], "]"}], ",", RowBox[{"Thickness", "[", "0.0044307690400343675`", "]"}], ",", TemplateBox[<| "color" -> RGBColor[ 0.3686274509803922, 0.5058823529411764, 0.7098039215686275, 1.]|>, "RGBColorSwatchTemplate"]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"AspectRatio", "\[Rule]", "Automatic"}], ",", RowBox[{"ImageSize", "\[Rule]", RowBox[{"{", RowBox[{"260.`", ",", "161.`"}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.`", ",", "260.`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "161.`"}], "}"}]}], "}"}]}]}], "}"}]}], "]"}], ShowAutoStyles->True, ShowStringCharacters->True, PrintPrecision->3]], "Output", TaggingRules->{}, CellChangeTimes->{3.872686581609928*^9}, CellLabel->"Out[25]=", CellID->971502808,ExpressionUUID->"3d967426-ed61-4b92-8df8-5e65dd379fe4"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["ShortInputForm", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.1.1\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/8f0c296f-5969-4d10-bb6c-70c689b17948/"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], #& , TagBoxNote->" "], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "ShortInputForm"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction[ "ShortInputForm", ResourceSystemBase -> "https://www.wolframcloud.com/obj/resourcesystem/api/1.0"], BoxID -> "ShortInputForm", Selectable->False], "[", RowBox[{"vectorExportImportPDF", "[", "graphics3D", "]"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.850025453998353*^9, 3.850025526161663*^9}, { 3.8500279261466637`*^9, 3.850027985355708*^9}, {3.8500281479562693`*^9, 3.8500281481074023`*^9}, {3.850028233530115*^9, 3.850028239411446*^9}, { 3.850028428930088*^9, 3.8500284355926156`*^9}, {3.850028470513025*^9, 3.850028490043507*^9}, {3.8500285278249736`*^9, 3.8500285786056256`*^9}, { 3.8500286355164623`*^9, 3.8500286521077795`*^9}, {3.850030265086974*^9, 3.85003027869147*^9}, 3.8500304464147277`*^9, 3.850110631004364*^9, 3.850111078348303*^9, 3.872686542240242*^9}, CellLabel->"In[26]:=", CellID->589718332,ExpressionUUID->"a886f303-a133-4b0d-a132-72a086a14433"], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsnQd4FcUb7o8Q6RCkSZMOUoSgNFEBEU0EKf8oHaWqWCgiSJPeCSAqUmwo UkUIXektQAAhCoFA6L0HCKIplHPfe77L3GHb2T095Ps9Dzw5s7Ozs1O/d6eV 7Nzzzfcz2Gy23lnw35ud+tX/9NNOA97KjR8tevT+sGuP995t2KPPe13f+/T5 zhnh+B/+jQiy2f7v33aGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiG YRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRjGr9y/f3/RokXh4eEtW7Zc sWKFv6PDMAzDMAzDMAwT6Jw6dar/AyZNmmT19uXLl9skdu7c6Y1IpgkOHDgQ 4iAuLs6F2/ft29esWbOwsLAdO3a4HxkoYopMUlKS+6ExDMMwDMMwTOBz5syZ ZcuWDRs2bPTo0Zs2bbp9+7a/Y6TL6tWrhYZ6+umnrd4eHh4uq7CuXbt6I5K+ JzU1dY45oqKi6JZt27ZRIuzZs8eFJzZu3Jhur127tvvx/+677yi0//77z/3Q HlXu3bt3+PDhK1euBELgN27cOHjw4N27d814TkxMhGy/evWqycBRnhGZY8eO mQyfYRiGYRgmbXH06FFY0baHCQoK6tGjR3Jysr9jp4GbKmzs2LHym44aNcob kTTJhAkTxjxg5cqVZm6BNTt37tzhw4crBrBu3rxpM0erVq3oFjdVWIsWLej2 GjVquHC7gnSrwkyWgfj4+LCwsODgYEql0qVL9+3b11MKxWrgiGqFChUee+wx eM6ePfvLL7/8559/avo8fvx4+/bty5YtS55B7ty5e/Xqdf78eb3AUSzr1q2b MWNG8p8pU6bQ0FAoOLXPVatWFdVn3rx56lvwUmgBRIKvX7/eRPIwDMMwDMN4 mJ9++glGlJ65XrVq1QCcHuamCrt69SpsvAwZMsDMa9CgAcSLNyJpkscffxyJ 3NCBmdmVsJbz5MmDF4cNrJhLefv27ZcepmTJkpRKNWvWlN0jIiLoFjdVGCLT uXNn2NgxMTEu3K4g3aowM2UgKiqK8h1ky5YtKCiI/sYt//zzj5sRsBR4SkrK 22+/TR5QiXLkyCFuXLZsmezz/v3748aNy5o1K3mAChOeAVTS2bNn1ZGJjIwU eg1isFq1apkzZ7Y5vgupJw9///33em0XwFV1+KmpqY0aNaLUzps378cff+xe 4jEMwzAMw1jm77//Fh+cNendu7e/46iBmyqMuHLlivnJUd4DFvjvv/9u3j9U DyTV5cuXzXj+4osvKJX+/fdfTQ9uqjDPkp5VmHEZSEpKyp8/P1KmYMGC0dHR UDdQ3CNHjvRIJbUaOHQiXerRowd9wYiNjS1btixcsmTJIs9mvHfvXr169eAO JYU6m5iYCBc8omfPnhRCeHi4IvDk5OScOXPiUmho6P79+8nxxIkTzz77LBzL ly+v8B8REUEx36DFhQsXjN/9f//7H6swhmEYhmF8DMytF198UdZcffr0iYmJ gfEzceLEbNmytWnTBn7kW86fP7/XwaFDh4TjpUuX5s2bN2zYsG+++eb48eOK p8DughEFIxOKYNy4cYsXL46Pj1dH5syZMxQyPNsdk+7WrFkzZsyYWbNmHT58 WOFZVmGVK1eGS0JCwpw5c0aNGjV16tTt27er3xR6c68OegqFSElJ2bdv34IF CxA4ZMLOnTsNVszBHP3tt9+QeuPHj1+5ciVeyiBkwqoKQ74gTUx6Nq/CkA7k cufOnT///PPIkSPeWIyDorJjxw69qWjuqzBY3cig69evO/V569Yt+Dx27Jii hKuBBwoWmZuamuo0ZBSPuLg4FEKTStluogzQiE9QUJBc7wAqLNyDg4PxOiaf 5WbgKBXFixeHe7t27WTPSKJcuXLBfcSIEbI7Kub06dPVZQnyB57z5s2rSH9o NCoDCgGF+kvuilTt37+/zY0JsazCGIZhGIbxPYsWLZIlGCx2+SrUEASI4pZ3 3nmHPJcqVQo/YWqGhITIgcgfq2GAQXYVLVpUPcTWsmVLhUIRC9Oee+65adOm kUUnaNu2rWyZyyqsXr16EIA0Z0kOX/Z/8eJFdRwEesNA0I8zZ84sUqSIwn/W rFlHjhypWDG3cePG6tWrqwMvVqwYhKHB8jqrKsySf/Mq7ODBg7t3727atKlI ebxmRESEwkhu0KBBsBbIaINonD59Gjko5ryBQoUKtW/fXrELhJ4Kg6557bXX 8JQnn3xSzqwWLVrAce7cuVCOQ4cOfeaZZ0T4tWrVgpDUjAzU+tNPPy3mvGXP nr1Vq1aaignR++ijj+SiiMSH6p88ebKmTly8eDHkgJz7BQoUaN68uVC4ejjN U6plTZo0UbifO3eOxrJRxowf4anAlyxZQq+mfqmuXbvCHXmEiuP0ob1794Zn hK9oZNasWWNzTHRUfOtADaIsgxxTP7Rx48Zm3lQNqzCGYRiGYXwPGUJEyZIl Yco6vUWoMKieP/74A9ajQnS8++675BNmf+7cudWqRABLWNYmzz//vIFnADtc eJZVmB7jx48X/l1QYTCz1TuWyPTs2VN4hhoVi180adiwoV6SBogKGzFiRJYs WWyOMRE5W6dMmSL7r1q1quYLQgjrxQGaWk6cggULimVH+fPnl415TRV269at l156yeYocooXf/XVV+Hev3//V155hW7Mli2beBDks0L84mejRo3oKkKDahOf CPLlyxcbGyt7hgqoVq0aXYWyQGEoX768iHnhwoUVw0/z588nmQBlUaVKFZTn vHnzishMnDhRN5Oc5endu3dJDf3666/qq/Tu77//vkH4BlgNHBltc6xJVHve unUrvazTeYCJiYmo/jbHslPFJeQRyV5IXdl97dq1lKeKzwK0P0yXLl2Mn6gH qzCGYRiGYXwPpIGwEj///HMztwgVZnOMlait8V9++UV47t69u3CHnakWZUOH DhWe1SpMjFYINm7cSJ7NqLBixYqJwF1QYZ06dVJ4g90u1tDBepfXlAnbHsCG rFu37uuvv/7UU0+RC9SN5vZuRICoMJtDHy1YsOCOg8jISFqeA7tX9n/58uVz D0M2s54Ki4qKokQLDg6eMWMGLSOCyEL4SJ+yZcvCIBee1SoM/qlgkOpXBE4q jEDJPHnypN2R182aNSNHxeYMNMUOfPbZZ2LTiejo6DJlysCxTp06sud58+aR 5y+//FIM7qSkpPz8888lSpQYPny4IjLlypWD54oVK8o7Thw5cgQRQxpeunRJ M30I4zxFIlNMSLEiqIiIiEWLFlGsIJFw6Y033jAI3wCrgb/77rs2aeAMmTJq 1KhTp07ZHZMSKSi9zRLtjvmuS5cupVFjFAxRo2VoeAvVH9lEk0tv3Ljx3HPP wbFfv34Kz1QG6tev361bt9DQ0Jo1azZv3nzgwIE0sdkprMIYhmEYhvE9MCaF EfvTTz+RY+vWrcs/zJIlS8QtsgojSpUqBeN2w4YNO3bsmDJlimxtXrlyJX/+ /B06dIChSwtq4uLioFDEvTCZhGdZhRUqVAhGKW7Zvn27PKDw1ltvkWeFCqtc uTL87969W2ycTghLGyblxYd54oknhDe1CoNtKYeDeO7atQuBJCUlkQ0pztsi 5Ll2P/zwg3BHlMLDw3/88UeDXAgQFYY0RLLIl2jFjU21EkcBiWtNFYYchBa2 OYao1PMDob8Us1IVKgwWOJnrkLHIcXX4ZIHDXFcM2CUkJNC2nx9++KFwhDTI kCGDzSHBFOEgc0nyb968WTh+/vnnFBmEpvCPkqAYkYE6o8A1TXqnK+yM8xTR o5hAMdklyU8bEg4ZMgR/h4SEGD/CU4HTpxsa8kaVJ8/PPvssvSYlgtxiCNB0 lCxZUny6ef311xWDjwIoNTQa5C1Hjhy4sVKlSlT91evySJ2pQZIOHjzY6euz CmMYhmEYxvfIg1krVqwgRzJ4ZH7++Wdxi0KFwZQy3tqCvqjDrNq/f39kZOSE CRNee+01cTsMeOFTVmFz584V7kOHDhXuzzzzDDnKKqxw4cJiCQlUnhw9xW4D MrK4U6uwvn37iqtPPfWUPF6jibzJCRTHBx98gBia3GLCkqqCDMyYMaN6VEgP 8yoMSllxCbGiSwZDG3ZDFRYTE0MhGK8aE8gq7OrVqzT7ERJszZo1mv5JhYWF hakvQTjbHh7EoU3/kDua+VKhQgXbw9MvaQqczTFrDtLb6cF5L7zwgs0xn3PA gAHHjh0z874C4zKwatUqkSz4Wbp0afpJ49eTJ0+2qYYszWM1cFr4hgqCv6dP n06e8dZ0ngUdN6a5P7z8zQdi7f3331fvukNA9qIG2R4GtyCqas+9evXCpcaN Gy9cuPDvv/+GMJw4cWK+fPnULYkmrMIYhmEYhvE94jApmzSCY16FFShQ4MaN G8aPgG3fqlUrcRSsGrG4RlZh8+fPFyEILWBzbKRAjno71d+/f19eGWRwiJWx Cnv55ZfFVXnapB6Ij2J7EJtjxmZ4eLjiBCU1llQYsgn+r127ZtK/OzvV7927 ly7JI0RqDFSYOMtJcbq0HkKFnTx5snLlyvR3/fr19fyTCtPcmaFJkya4hHwU LsgLKkLvaEFjo926dZMDGT58uJgWizLcoUOHyMhIvcO5Tpw4ISQMqF69OrTn gQMHzLy4ybEwWm81cOBA/J0zZ07ayJ0+U7g/FmYycBoLo5ViFy9epHrUsWNH u7OxMGh5uH/77bdt27alSgp9rVZJELCUjBC/sbGx0L8tWrQQy/GgudR7Wqpb obNnz1LEEJTx67MKYxiGYRjG98irmfr370+Oo0ePhi0qj1jpqbBBgwYZhz97 9mxhPukhTkzWU2GbNm0S7giNJncZnBcmTzX866+/9OJmrMJkc1rzw74ayBka f1FjfLyXSRUGI79OnTrwLA5cNoM7KkzsDe6yChswYACFYGbjF7ukwkqVKiUn 4DfffKPp30CF0UbosgrT21dEpmvXropwIOSbN28uS3vouE8++UTzuOGkpKRJ kyaVL19eDhNyTCyz0sPkujBRnvF0IQZp2Mj9dWEmA6d1Yc2aNaOfycnJtBzP 7lhTRkEZD57aHbqJtr7JmjWrfG4FUonagaZNm8qHxZ8+fTosLIwCN57fKxgz ZozNMVvVeCCbVRjDMAzDML5H3iOxcOHC8poLCChxSU+FKQ4GUhAXFydvr/H6 66/PmjULhv2xY8dkG9WpCps7d65wF4LL2ypMFqE0+coku3bt6tOnjzz5ioDN qXeLSRUGOZA5c+acOXMqlqQZ418VNmXKFApBfYqcJkKF2RybnOBNoYBsjq05 NDd7t6TCICXgUqZMmT36aGoru2M7kRUrVkCSFCxYkKKXJ08evWVNdsemHEj5 +vXriyrw3nvvGby4yT0SoebUV0NDQ22e2CPRZOC0R6KYGywjlok53SPRLm2Y M2HCBOGICkuOiiWKdscaQ1oCVqtWLTPvFRkZSUEZHxPAKoxhGIZhGN+zbNky WSl89tlnYraP+yps6tSpwmerVq2E++XLl+WHOlVhNLWMgMlEjt5WYfK6sODg YNq4QJCQkKCQFdevX9+5c6fsgjDbtWsnv6nasCTMz0hEWnXv3h2qx+kaJYF/ VRhkFIUwY8YMM7EVKgyZCD1rd7wySdrSpUuLoiKwpMIGDRpkc2za4M4Bxykp KZMmTSLZ0qZNG6f+4+LixPYRmoeVE07LQJUqVRBCeHi4wh2Fioab9YYLwcmT JyFJDMqMpcCFulFv+wk5YzN9XhigTTihbYXLwoULKY80/dN+KdC/ZgKHuLM5 xsLUxUbGkgpD8xgdHb1lyxYzh3czDMMwDMMYIA/6AJi1EydOhOyirQYI11QY 7a5G1K5d++zZs9Bf8+bNU4wTaaqwsmXLQohBF/Tq1Uv2/PXXX5Nnb6uw9evX y88tXLjwzJkzDxw4sGnTJrw1HlGxYkX5tFkaskHqIWK0t7bdcY6zHIjeAIGl dWFXrlyBYam5v7cm/lVh0Dt0FZazWoTCpsXTZRehwuQpbZC3dH4ZElkRgiUV JrKjffv2Bq8jOHbsmJ5uqlOnjs0x1VB2XLt2rebEyw0bNtBzV65cqfcsp2Xg 22+/tTnkiUL+k7SEnNGbdwf9S2u18uXLp7ec0FLgeEc6gkFxRNfVq1ep6snr KO/evQuRRYJaAbQMJQueLhx3795NjopvGgQ1PvIiNZRMVEy1zxs3btCiV/kQ eU3MqzAxW9JmePwfwzAMwzCMGWBnZsqUyWaIaypMnklogKYK06RcuXLiE7S3 VZj9wYoYA4S1+cMPPyguPfnkkzly5JBdoNr0YhIgO9V7Q4XZpWIAJRsZGUk6 BcY57O169erBffny5cKz5qnNICIigtwVO9JbUmEAwoHCad26tTz58PDhw506 dZLlw+3btytUqBAUFPTRRx/RYVgClD3aXFTeBv/HH3+0OWx+xagT9AvFBBgc GeY0T5EgdBpCiRIlaM9/iIKpU6fSjEf5AHEF8mo48RHDzcDHjx8vqgBl6IUL F2hADY2J/JrDhw+3Pdg3EsWJFnUi8IULF+bPn9/mmGsqSz+ERnM+ixcvLms3 CHaoLYpPnz59yBGiEhUNLm+++aa8Dw+KFm3kaDOxqNO8ChNnUhPGxzcwDMMw DMM4Ze3ateJ8YTXVqlWTt902r8Jg2tE5tgoyZsxIthNhUoXlzJlz06ZNInAf qDDEXzFQKAODUMykmjFjRoECBQwiHxwcDBNULyaPtgoDPXr0EMujYHVDqtBh XjbHaVCzZ88WPvVUGIzw119/3eYw8uV4WlVh//zzjzhTAFEqWbJk7dq1xVIv REY898yZM/KR0MhBlM9GjRqJnTeKFCly+vRpETI0izgzLkOGDGXKlHnppZcg M4UYNz67ykyeosyL0BANUYDxIDH8qkY+Tstg1qKlwJFKTZs2JQ+5cuWqVKkS DbfhLRR7HkJhIQQRAeQ7PNMx35QFCxYsUAS+c+fOLFmykIfq1au3adOmRYsW oiXB64g8SklJee+990TgaFUgOUncEcZr8QjzKuzq1avyPqiay+gYhmEYhmEs kZiYCE1RuHBhYWMEBQWFhIRMnjxZceBsx44dhR9jFQaOHj0qn9EMG6Zhw4ax sbFiaMOmo8JgF8lKrUaNGoqjhdatWyeuKlSYfKOBCitUqJDwRptyaxIZGSmM TAJCAPa5QrPAMvzqq6+gWOXN9MjsxLsY703hVRWGWNkcukDecU4mOjpaLxE8 pcLA9u3boXdoORUBWQ3rWnFqM40owZt6EdPly5cpy0qXLi2WHdG+eW+++ab6 iZoqzP5gVKV48eJyNkEXvPvuu+ps2rp1a5MmTYRME8W4Q4cO6hPBUIlQI6pU qaI4s6BChQpOR2RM5ilKHWqlKI3QTYiJXs4Ss2bNosFuvLLxuRKWAkez0LNn T/mLB6ohaqXaJzILzQjaAVoFJkDeoVRoBn7o0KF27drJpcXmWCqIMqZe5IXC iVZFMaBPg5IGLyuwtC4M+Yg6To+YNm2aybsYhmEYhmGccvXq1W3btv35558m Txw2AyzttWvXwsYzXtIuq7DffvsNZh50Aew082djeQ+kBgTdli1bYB8ab7oO mxPGPKz3qKgovLhCw2riVRUWUEBbIU+RjEeOHFGf+uRjrl+/jjxav369YusV TRISEuAZVSM+Pt5Y9dgd0+pQTqAOdu3aZXLemqU8hRJBAUOBNFO67I5Kjdpn cscMS4EjEw8ePLhp0yYzlRSekXqrVq1C4GY2SEFpgf/Vq1ejwJw9e9Y4/ghw 7969K1euhGe8r9PABVb3SLxy5QrJQ72TxBmGYRiGYdIWenskPvJYVVVZs2aF SvVefBjfk3aVdVrHqgqjnUwUy98YhmEYhmHSLqzCTFKlShV553/mEYBVmL+w pMKOHz9Oc1n5iDGGYRiGYR4Z0rMKGzRo0HIH6jOY1MyZM4dWG3300UdHjx71 QQwZb2O1DDDucP/+/ZUrV1Jq16hRw6Skmjp1Km1aEhISEgjTpBmGYRiGYTxC ly5daj1g7dq1/o6O7yhTpkzRB/Tq1cvMLbGxsb1790ZCbdiwwdvRY3yAC2WA cZnk5ORixYqJBB8yZIjTWyDcihcvnjlz5pEjR/KRzQzDMAzDMAzDMD5g1apV cXFx/o4FwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM4x/u37+/ aNGi8PDwli1brlixwt/RYR41uIAxDMMwDMN88803ISoOHjzo73gxfmP58uU2 iZ07d/o7RmkVyI0FCxZ069bt1VdfrVy5coMGDTp16vTzzz9fv37d31HzJ1zA GIZhGIbxOzExMZMmTeratSvMs6+++mrbtm1JSUm+jECfPn1sKv78809fxsFT nDlzZtmyZcOGDRs9evSmTZtu377t7xilScLDw+XCgMLpclDIgk3m2Lp1qwdf IRA4e/ZsvXr11JULrF271t+x8yceLGDe5sqVK+qyumfPngsXLty7d8/fsWM8 BnLz8OHDyG5+erp6ekBx9+7dc+fOHTp06PLly3fu3NHzdv/+/bv64KrmXUjn a9euHTly5NixY9evX9fzxriPyXyU/Z8/fx614ObNmwbekIN6mc6dkWskJCS0 aNHiscceU1hoJUqU2LBhg95dEydOjIiI8KBSO3ny5PYHzJgxw9sqbMKECWMe sHLlSjO3JCYmzp07d/jw4XFxcXp+jh49Wrt2bUVKBgUF9ejRIzk52XPR9z9o PDt27NjewZIlS7zxiLFjx8rJOGrUKJeDmj9/vqYMUZMrVy4PvkIgEBoaqvmm mTJl+vfff/0dO8/gWmn0YAFzH+MW6bffftMrsTlz5vz444/Rdfo+zkhqSvMO HTr4/ul6eKlt97b/+Pj4sLCw4OBgytbSpUv37dsXho2Z8N2Hn27+6XPmzEHJ fyQnEsCAmTlzJlrCYQ8YOXLkunXrUlJS1J737NkzTB8Ycgr/aKVxC0xH2dvk yZMPHDjgk5dTwvkoSE1NXbRokewf2bR//35Nz4oclBk9erQ3X0ubtJ6PaGqE kZY5c+b69eu//fbbISEhEA5wgTT7+eef1XdBVpNqO3bsmDdihfpLUfKeCnv8 8cerVq3a0MGkSZOc+kdDnSdPHkSpQoUKejOXfvrpp+zZs+sZS3icj4cXvcqZ M2fEq6H2eeMRV69erVu3boYMGTJmzNigQQPj7zPGpFsVtmHDBvntChUq1KlT J9TxKlWqvPbaa/6OncdwrTR6sIC5j3GLZKDCCGixv//+28dx7ty5s4iAjx9t gDfadm/7j4qKIj8gW7Zs1P8CvMI///zj9BFuwk+39PShQ4dWrlwZ7Ubr1q19 JhW9DSQSOgthTg8fPhwWtfgJk149aIWks6TCtmzZIq5+8cUX06dPHzFiBP3c t2+fr170/8P5SNy+ffu7777TzETNqUEQdAGlwtJ6Pv7+++/U5vTo0eO///4T 7keOHKlXr17ZsmVv3LihvuvSpUt0V5pWYXh38/5hb9SsWfPy5ct6HmACwZYz MJN69+7tiYgHChs3bnTB7nWBK1euwFp2M5B0q8ImTJggXi1//vxmpiWkRdwp jR4pYO5j3CI5VWGgSJEiPh5wh4YVT/flc43xeNvubf9JSUmom0jDggULRkdH w0yCXQRTxzcdBz/dtafPmjULftCzeDWGPuPgwYNkSEMcHT58mFoSFNoffviB 3Hfv3q24Zd26dWR4n9BC8VELkpbC+fHHH8+fP0+OaHinTJkCx7Fjx/prMhvn I1pLurRkyRJSAcigSZMmkaOi4YIJQe6rVq1SZ/rJkyd99J4q0m4+fv755zbH mJd6bhJaJL2PwwcOHKBmKkBUGKJ69OjRXbt23bp1y+QjrPbU2bJlQy4bRODF F1+ULaI+ffrExMTs379/4sSJuLdNmzZ685+RhjQWjNYJ72s8Xnbu3LkVK1ag yUIV27FjhzrXTp8+vdcBlPLdu3c3bNgwbty42NhYuorwx4wZExkZqdnioZ3c tm3bN998M378+JUrV545c0btBymMGhofHz906FDxsl27dt0r8ddff8m3wD+5 Hzp0SDgievPmzUNdxuOOHz8ukhFidq8OxtPnUlJS9u3bt2DBAqTkd999t3Pn Tnk53sWLF9dKDB8+XET+ySeflC/Bnhd3IZXwLvR0UReQquivkUTofZAX6iH+ xMRENHS//PLLiBEjEJPNmzerFwYil8V7UY6jtUTiQzRNmzYNOav3mkh/RBIt KgKnAiN/PBHcuHHj7NmzSPDmzZuLN23cuLFeHgmcFjDCZJ6mpqbKj8NdCHbO nDkULJL0559//vLLLzWbETPJaLU0ulzAkDtIaiQ7Mh1dlWZf43KeEuZVWNWq VZHUSOGFCxe2b99ebnbQBrqQjDJoK/AstFp6jQB6YdhOSAH4RN0Rj1YkJmKo DtxMC2N3td4JPNu2+8D/999/b3NMXJdrk/3BWung4GDz/ZoL8NNdezpKaZky Zfr27eu96PmY9evXL1u2DI227IjmAt0BWnX0rQr/y5cvh/tXX31lJnCkMFnv ipV3aEnIXbPF8AHpPB/RVdFg2dy5c2Ub9fr16zTmtXTpUtk/aoQfhy8NSLv5 2L9/f+pDzWjYN954A69ZpEgRMYM6Z86cwQ+DHpw8h4eH4+crr7yiGRSsRPTg 8ADzQH3VvAq7cOFC69atc+XKRf4hJ0uXLq1uLtRY7amN/UNGybbQF198IV89 ceKEps0A6xHpY3uYggULam6afe3atY4dOyo858uXTzFl9PXXX6dLH374obxC 7Y8//mjZsqX4+fbbb8t3oQCjLUVuKsJv166dYjC0ePHiNmdkz55dvuWdd94h 91KlStkdmRsSEiL7L1++PPmEVjIIds+ePZqJj8jPnDkTxVLhP2vWrGhGNEcH 1qxZI7yVKFFCM1gAQ1d4Q0FFUN27dxeFn5ALG0zc//3vfxkyZFDEpFChQgoz bPXq1eIqlDISH7GVb4FsV+hxero6jzJmzIicFULb7rCTDZKRUOSR3XQBs5Sn 0MLCBSkgFp/WqlULBnaWLFnoJ+pvTEyMC8lotTS6VsDQDT311FMKz4ghdK6b eSpjXoXVqFFDuKOrlUs+BI4LyUhs3LixevXq6mQpVqzY1KlTRT366aefnCX5 /yUiIkIO3HwLY7de7yylZAD6p7rTpEkThfu5c+dofgXS3/zjrMJPd/npqF8f f/yx96IXIKAOwur++uuvFe6//vorjW2ZCQQ9FFnvivqemJhI7jCTPBZji6Tn fNy1axelv/gYLli4cOEwx4Iy2Yi6fPmynn+/k0bzMTIykjq155577ujRo8ae IcGcdr4Q1ORZzAHTnAkPa8HmMJBQB9VXTaqw5cuX586dm3wWLly4cuXKwuz5 4IMPjN/Fsz1p7969RQqULFnSzLwvSK3MmTPrJaOipqCBgj2s5xnWnfApVJgC hUEIxKcMxFZvDz2bQ6TI3wPdUWF4X4hBpKTC/7vvvks+XTCS//vvP/V2KDI9 e/ZU3+WCChsxYkT9+vXV4aO/Js+jR482ThZZzsgWO6xiTf8TJkwQ/mHEKjb0 UwCBEx0dLTLUOCY2VR6ZL2CW8lRWYQoUBRJv50Iy+kCFffrpp3r+c+TIId9i NU8VuKbCwEsvvSQuDR061IVktDuaXHUTIdOwYUPyaVKFyW9qqYWxW6x3VlMy 0PzfvXuXDH7YtOqr9Jnu/fffN/84S/DT3Xl6YFp96BO3bduWkJCg5wG9yYED BxTDfwbAWqMlRQp3tCGaY2SaJCUl0SowmG2y+19//UUzEuUVPefPn4c6UIzm yKBJ2bRpk+Z6GRdIz/m4atWqYY69ONSTtQ4fPqwepjx16pT5sUvORzOg5ItO PFOmTDCuDIQPkv2cA5qBCdB3n3sYMT8KIZcqVQp+WrZsqQ6KvkEJ81uBGRV2 9uxZkmBPP/30li1byBE1Xex4v379eoMX92xPChNFmAeff/6509BgDSqMXihc WZTlypVLFHLUNdnQAmqjV9hUeipMzZQpU+iWQYMGye6wLRXGrTzI644Ks2mJ QZvjc7dIFoNgNY3kTp06KbwhGcUCvaJFi2ou+XFBhaF2qKNEI0EECqT8dk88 8YRinWCePHlEiypb7HogqUXgu3fvli+VL1++cePG1atXF09s27at8GxVhVkq YJby1ECFKcibN68LyehtFeY0mypUqCBaPKt5qsA1FRYXFydvbyu+S1tKRtCo USNxCY1P3bp10ZKIEcAsWbKIjzYuqDBLLYzdYr2zmpKB5h+dJr3U3r177Y5O NiIiYtGiRTRpHCoAl9544w3zj7MEP92dpwea1ZeYmIhWiCaYaXaX6BpgU331 1Vc0A81kmGR1q3fMnjFjBtzHjRs3e/ZshDl+/Pjp06cvXLhQb6EKja2AOXPm kHmD3hkNhVqawTKHIwLEH5oTxdG+QdMNHz4c+YVW3cyLGJCe83H+/PliQJNm fS9ZsuT06dN2x4ppukUeoBHSDLmJAoAqM3nyZJgHCFa9OCKd56N5rl27hqZG 7uNefPHFxYsXG5zjsHLlSvJpvC5s6tSpNseMKcpTgTAp9aYAmVFhTZo0sTmM N0XgdsfMSVx6+eWXDeLm2Z4UlrxIPVgp5Ni6devyDyP20JaNWNx75MgRu2OZ zIcffijcUTjJs9C8NseQBxo61EFUkAYNGgh3GE406VFWYW+++aZYaGxzbMDy wQcfiJ8DBgywO7Zhkc0z+KdJU8gjMc8TukZ8zcBzLzqQ5zdC+V6UUHwkkV+W gBGFW1Btd+zYATEo682LDwPrUdylLi1//PGHHGzNmjV37dqFQPAKS5cuhUiJ iorSzC8XVBgRFBTUtGnT77//Hh03Og40RLL/fv36wSxHsac3unXrlpx3QBQh hcVeuXJlXEKat2jRQnYXS3i+/vpr4VisWDFRN+Fh0qRJr776qmI7L5GAbdq0 ETf26tVLM48sFTBLeSqrMNSgZcuWIfL0Eypg/fr18pcHMe3BfDJaLY1WC1jJ kiXF1eeeew5NDUL49ddf5WiPHTvWtTxVYF6FPfnkkzBdBg8eDO0stnSzOVra U6dOuVAagdgmDvzwww/CHfEPDw+XJx2hq6WkU3wZUCSseE2rLYzder2zlJKB 5h9NFr0jje4JOYzKgp9DhgzB3yEhIeYfZwl+ujtPDxyrDy0hurwRDmBmqLeC QaXbunUrSR5U50OHDpk8qGvBggVkdYstNQQwv4fpMG/ePPXac3QrIjTw3Xff 0cqjX375RT19CPY5zXgcNWoUqo96uAQN2rp162itE2SgO/tCpOd8pN0RaThY zBpF+Mg+NPX0kz5TEDR2qQnyQj1NMX3mo2sgHV577TW543vmmWf0tj42qcKQ iQUKFLA57CLZ/b333oMjjGS9G52qMNRZWlQCEa2+iky3SV/XNbHUk6Lkw5CA za/nQf7sLFZ1VapUSWFLiAEF+VMwCufhB4gtK0GrVq3Ic9euXYXjs88+Kx6q sIKopsgqDFal7AcqT94qkDaAkr9s58uX7+DBgyIy8po19ah3hw4dxNVhhrvS KSx2xND8MVXIRPl1FFf79u0rrj711FOas1s1cU2FocitWrXKIFjR78Du3bx5 M6zZzz//XD68AN0WeZAt9sKFCwuTNS4uTn6iSHZUT9m9WrVq0GVOpxCDLl26 iLtgt2v6sVTACJN5Kquwxo0b2yVT55NPPsHPp59+WngQQtJ8MgrMl0YFBgVM MXBGthkhjxyJRSVW81SB+3skDhw4UL7FUjLKmwtly5btgw8+wOtobvwiQHcp P13PmwstjNV6p8Czbbu3/ePV6DUptUuXLk0/aU4F8sjm2P3S5OOswk935+nh 4eEdO3b0UvRMcubMGRrOGDNmDPo1dScIKxfuuAo/8Km3JY4m4kQwzQoFvYBL s2bN2r9/P2z706dPQyCQOa05dgZNAeGgtt6joqL0NkhMSEiAQQWxBktv8eLF 6llwycnJMBdpQ7/vv/8eja0Lx0Cn53ykATXq3ZB9IlPQHSMl6e9t27YJ/+fO nYNGGz9+/MaNG9FQo5dE001zU0FERITmhjbpJx/d58CBA5BIYtU8xIXmXmom VRiAxLA59hoSJhb+oDXa8hdXBU5V2L59+8jDCy+88I6Kl19+ma5eu3ZN7xGW empEFf4NQpO/mYv30lNhCMdmgqpVq1I4NWvWFI5kuxJ3796VV7vT92pZhcXG xqL2iZ/oaxYsWCB+kgrr3r27mcgo9smxu6rCoMotzQE2VmEio23SihgzuKbC nJ6FASUybtw4xT4VMp9++in5lC12KBERAloe2MDiktizIjU1VfGRhChfvvyg QYMMhvLNqDBLBYwwmaeyCnvrrbfgAi1GP2kSGuIvPIgmwnwyCryhwuRPIhky ZJAPhURfIy5B/pOj1TxV4I4KCwoK+u677xS3WEpGRF69TBXtP/o1WX7KmFRh LrQwVuudAs+27d72L0ZkLly4gJ+Q0jbHtld0ZCpt/umD8SB+ugtPR/3KlSuX X84ZRKsSHx8/c+bMYY5FPbCT1ftQXb16lQZWYP0uX77c6nkcqOB0jC8Eqd6W pOqPbyjqNJUOekE2pBEaKYgpU6acPXsWpiZtqEv88ssvBquHbt++DZsfqT3M MZtRHvEn0FX9/fff06ZNo/D37t1r6dyo9JyPkDzDHizug1YiEU37vSNzKXcU KgCBqDOLNswcpnVOnOARzkePA6H69ttvUwNVt25dtQfzKgymS44cOeBTbGeK Xsnm0GUGAyJOVRjKpJme3cA6NdlTnzhxok6dOvCs2PJLgfxtvH///uSItqhb t26y8UwqDOLITOSrVKlC4YhJXDbVrh3PPvusuDRkyBC7dRUG29hMZCIjIxWv 7JoKg2RwmuYyxipMfL0EaEzMB+uCCoMdbtBN2B1F3XifEJukcfQsdiDPkZNb P2TfgAEDZHteAGsZDZdmrMyoMEsFjDCZpy6oMEvJKPCGCkPPKC7lyZNHvgRh Ii6hYFBP4UKeylhSYUWLFhXT+WyOVaWK3sqFZIQBIOtxGc3jrkyqMBdaGEv1 zmpKCky27d72L1YniYIBG1V8kaA55D5YG8VPd+HpUBz16tXLnTu3YraPV7l3 7x4s1alTpw5znAkSExOjtlTxIjSwArt0/fr1Lhx+DQuZxNT48eMVe8s7Ze3a tWSQi5WnsNu/+OILuMAEkoUAPIjRsXXr1hkHixvRodA0SHT3mpPxjhw5QuMy eopGk/Scj4qNLtHYChUj1oWZOZEKSU2eFy9ebOzzEctHrxIWFmZzLI5Wd4JC hZmZE0X7B8JOoKR+4YUX8LN79+4GtzhVYXAnD+jg9uhjcA6gyZ4aVSNz5sw5 c+bUW2EkvyNRuHBhOcVmz54tLpEKu337trx99CuvvNJcC2FMyiM+8n4mMMvl pevz5s2zW1dh8qS+ggULasYExMXFKV5Z3haDlpjpIVvsYrGbSYxVmKxwLZ0T 4ZoKMw6zdevWwnP+/PkHDhy4ceNGWGLyWj93VBgB6xrqoGHDhupdCxCmOlZm VJilAkaYzFMXVJilZBSYL40KDArY5s2b5eSVN+VDSgr3cuXKkaPPVBjtzoFw 5H05pk+fLvt3LRntjgECdGHyQlcCmk7h8/Tp07IHvY7ShRbGUr1T49m23dv+ xU59ixYtUl8NDQ21+WSfQH66C0+HgdGvXz94g9z2UiTVXLhw4euvvyaLF128 2siBC6wOIW2M5xVrcubMGTLd8b/BZqR6iPlvwnqHoUgu6nGcO3fu0Ot8+eWX TkOmXSkoKLR4mnMwTp48ScumoDsOHjxoJsLpOR//+OMPmkmojoA4ANqkDIdi gmeDSW6CRykfPYLe9EsYV9QPqmdTCPtEfUioGuQ+2XLQbqiMdOOBAwcMbtmx Ywd50xvcTEpKomXpYuDJKuZnrdy8eROaEfraQI/L38bBZ599JlJVrcLsDxuf ThsfGEvCM8SscN+wYYP8UFpYYVWFyS5FixY1/7GF5m8QzZo1M/DpPRUmG3jB wcGKdiYhIUHvSAtvqDBaAknIXyc8pcJQF+QZ1yiWkGPyjuhdu3ZVx8qMCrNU wAjvqTBLySgwXxoVGBQwdA3y68+ZM0dcQiMv3MX6TR+rMCBvvYJ0k5cSWE1G qHvFkSJIjXbt2skpoJhagPZQloF67+VCC+MbFWY317b7wH+VKlVs0mENAiQ4 dXPyMXAK0NFER0dv2bLF6oghP93Np4Mff/wRVcDpII6nYisHBbuU9lWA/aC5 GTheAepy+PDhsMBhaZtfCIDmgkz3UaNGuXYmFFpCMrDFqEpMTAy5aL77ihUr 6KrBZ3OYfFFRUWSWw45Sj86YSRM90nM+iqyJj49XXKIpo2PGjDHzpsggCke9 ekXh7dHLRzfp1asX+vTDhw8r3BFDWjpdrFgx9V0nTpygLlLxAVYP+lIdFhZG 35CdClURvubmG0TdunVtjrlYxoJOD0trB65cuYLM3bhxo4EfxbKdV199deLE iShmNPZHCBWGZBeOaO2HDBkC4Xnnzp1///0XAqFFixbyckh5fQp47733UHHg TZ6PV7x4cWrBrKqw8+fP05RR4vnnn0fVQ8VHATh16hQqoN5pAqgm4i4kztCh Q2GGIf779u1THCDiPRW2fv16OWUKFy4MYYLysGnTJjwIpm/FihU1J7R7XIWh IssbwSENb9++jWxCZsmWqssqbO/evZkyZcqTJ8/IkSNRW2nqAjJU3sZQ87Ot GRVmqYARXlJhVpNRYL40KjAuYPIMvSeffHLJkiUIkL62CcRcDt+rMHRh8pkC iBi5u5CMzZs3tzlaLbyFWAGHFk9+U1o+I4MaJ64irX799Vfce/nyZSQU7ftq d6mF8ZkKs5tr273t/9tvv7U5NhFVGEu0w3/OnDn19h1ClUR6UkKJA92swk93 4elEq1ataNMhp3gktmpOnjxJwyW0W4J6/1UY7agLsMNNbgaO9o1O9Ro7dqzx /g/oktBWqHXTtWvXaP2XfFYFWioy0WnNnYKffvoJl7744gvNB0HK4UEUJloY 9VaNaO52795Nu0zAIsUjDNScJuk5H5F6tFAL1qmcbpcuXcKz4C7vLJScnIzW W50FdklK601gSw/56ALCFoWWgd2ydetW2HW0WrBt27Z0SXOCJfQCHSUDjSbO kbE7ek/NfSYPHTr0mIPg4GCbdLKzHmILxHLlypFCvHXrFgqDXDjhTmtkChUq NGfOHDH2hKyEXVSrVi31QgYZj+9OjETTPNpGRqgw2Iey/UnIBhVKiBy4WKan CQyVzZs3k0+rKsz+8PoXgfwumlPd0A7I+60p7qXNqAnvqTD7g9n7Bmju2uGN sbCyZcsax8TmqgpDsZf3ErQ5dvaGASxb1EBz+24zKsxupYAR3hsLs5SMAvOl UYFxAYOiF1sVaQLZIloe36sw+8NjWygVovm1lIy0VlcGklOWTqBixYrqWBkc aS2vIrTawvhShQWCf7TMdFKAOLUERsLUqVOpgmueO0+gy5aT1LjL46d78OmE +Z2xPRJbPcRwCaz0lStXqs/5hb2xadMmWPjDHPtg6C3z2bFjx7AHwB5GNTz6 MGfPniWfeARtMo+0gplBQ734H40bTUsb9vDGerhE2z6MHj0afoR1DXeaETfs wTZ9MhACkZGRtCsFjHzN90LHFBERoTewYpJ0m4/EunXryDPEUWJiInLnxIkT lKrDpMV99ge7YiJHkGvInfsOrly5gu6JPENKqzd8SG/5aJVvv/1W3gYtY8aM stVRu3Ztvb1x6CwwugU9fqVKlWiNf6dOnTT9I33If758+cxM5xCHL9scu5DR p115UhCAmhObFeAtqlevjmiInb6MDX5v9Lxr164V55yqqVatmly6oF7Viy9k 5AlCN2/e1Fs4j5RBrRQ+XVBhdsecNIVJL4MwNd9XPoxMAdoK4c2rKgwvpbl5 IIGXgkxT3+UNFaY2ZYkiRYqIv11TYWgz5e1fNNGrdyZVmPkCRnhPhVlKRhmT pVGB0wIGBaEnxCpUqCB3Z35RYei45Q1bxPRIS8k4Y8YMeQajmuDgYM1TS65d uwa9pnlLvXr1ZJ+WWpj0psLsjsIjZC8qhSiWL730krw5p4KrV6/KO1tqrm8y Az/d6tMJ81afp2JrwI0bN1atWkW74cGcVq/lSU1NFbsiTJ8+XbHWWwxXGSA2 YkVQwvAmaPKbQP1JEJWaxlaGOfaaQFBodsRdU6ZMkb+VnTt3jsaGoN00d6W4 ffu2/LKaozPmSbf5SMAgF1vNA9LXhGJgC4GTBiRIWImfiLNiVUh6zkdLnDx5 sl27dqVKlZK7xfz580PV6kkwAlmp+F6aJ08evc9H27ZtIz+fffaZmVghvzp3 7iwHDjtBvQ/e6dOnYd3JZhJ67SpVqvzyyy/GW1x6qedNTEyE2S9P1AkKCgoJ CUGVUccHzQ7aJSS1/Jqwqdq3by+PMBL37t37+uuvCxYsKHzCPEZPoTDq5AO4 4+PjFSosMjJS/JRVmN1xOFTdunXl8Tib4wM4mkqDZaGoOPLLEuXKlZPP9+nY saO4ZFWFyeueNCczEHgvCHB5z5NMmTK9+uqreseCy1MZDVTYqVOn5HLlNLao MvKIDCT5xIkT0cSJaiLsXvn8L4XFLpu1cubGxMS0bt1aLfNRulAT9Uq7PFZo oMLspgsYYTJPxS46oE2bNnaVCqN1GYRoos0nowIzpVGBmQJ25MgRyAS5atDU UEXz6EKeyhi3MPLK0xdeeEG+NGDAAPl9xVtYSkbU8a+++qpatWqKTTgRAvo1 g2UFMBJatmwpT4Cku9Rrbcy3MFbrnYJAUFUu+EdjhbosGjFkU4cOHQyGcQn0 icg1ukVvo1Qz8NOtPt1u8ZRYT8XWGDFconfYK9p5WBeIgGKqNqwFq9b70aNH Z82aJbQV8eWXX6IJ0txt4OLFi7Qjn8yYMWPQcioGUKKioiZNmrR9+3a9L/Zo dmC6aw6suEA6z0e7Y6cadDE0XZBAd6B5tCXa6rVr19LBXgKUAdhg6um7nI9W gQZHvm/evFk9/1+PO3fuxMbGbtiwYcuWLZDJBtM4lyxZYnOMTVgabUQeIWRk ulgLowkuoezB1oKFY3InGW/3vNDaEJ6wQs3EB563bt2Ktgii0ulZdcgdlGqY NC7smeOU1NTUuLg4pCRsfvXkZD3OnTuHPMIrIP2tHmbhQZAgiAAKDFoPlEx/ xYEmzDudue0yaOuio6OR2qh65g+qNo9XC5hJ3ElGL5VGaC5UCnQrqKSeClPG agtjBheSEW04NBdSD2965swZk8e1wGTFg9AR4EbYZgbrnV1rYSwRIKrKNf83 b96komv+oBz0kqSC16xZYz5W/HT3n27J6rN7NLbGoBY7NSQsncRkAOr++fPn YYCdPHnSzN476JqRDmglTpw4AZtTM573HBiH46n42zkfH4BnXbp06dSpU07z ET6vXbuGHIRlfvnyZb04cD4GDrdu3SpevDhetmnTpv6Oy//Dak+aNWvW3377 zXvxYRgmPeMNFZY+8Xbb7m3/VqEtJjJlygQLyntP4aerqV27tvGZOwr8G1tG D87HRwPORz3OnDnTsmVLGggzs7O9b7DaU1epUkWsuWAYhvEsrMI8hbfbdm/7 t8Tx48fpC6elj8D8dPfZv38/Hj1lyhST/v0bW0YPzsdHA85HNTdu3Khfv/6L L74oFmVr7lbnL9BTDxo0aLkD9SIsNXPmzLE51uN/9NFHZs6qZhiGMY/VFonR w9ttu7f9m2fq1Km0m0RISIj6WE9vk26fvnTp0k8//bRAgQLlypUzXjsv8G9a MZpwPj4acD7qgZSRF2tHREQ4neDqS8qUKVP0Ab169TJzS2xsbO/evWvVqrVh wwZvR49hmHSFCy0So4kP2nZv+zcD+tPixYtnzpx55MiRvj94ND0//ZNPPmnU qNHgwYNNLrf0b2wZPTgfHw04H/W4cuXKkiVLpk2btm7dOo/sf8IwDMMwDLFq 1SrFPtX89MAkbcWW0YPz8dGA85FhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhPEhycnK1atVCHqZ79+7+jle6Y9++fc2aNQsLC9ux Y4e/48K4DlcohmHSHPfu3Tt8+PCVK1f8HRFTpK3YMoyn8G/JT0hIiI2N/e+/ //zy9MDhxIkTCxcu7Nev3zvvvDN58uTdu3ffuXPH5dBu375tU/HGG294MMJW +fPPP+cYkpSU5MfoeYnGjRtT4teuXdvfcfEK8fHxinxcunQpSu+1a9eMbzx/ /jx8Dh48uE2bNj179sSN//77r8LPkSNH5JDnz5+/YcOGuLg4NFnGgSOoqKio L7/8smPHjp9++unixYsvXbrkzmsGYIViGObRIDExce7cucOHD0fj5in/aJnD wsKCg4OpsSpdunTfvn3v3r3ruVh7Em/HFt3HkiVLrl+/7qkAXcZkXqPDmjJl ynPPPVe0aNHRo0f7LHqu4dXYWs27tJXXfqyneHTnzp3Lly//2GOP4dH4v1y5 crNnz75//77a86pVq4rqM2/ePIX/Bg0a6HmuXr26Onz/5hoMvC5duqhtPBTp 48ePuxYmzNTtEjVq1PC70diuXTv1O8pcvnzZj9Fzyq5du8aMGbNx40ZLd7Vo 0YLeDlngpYj5F2gczdwMCgpq3br1oUOH1LfcuXNn4MCBGTJkUNxSsGDB5cuX yz6R4JqBlyhRYvz48ZptBYBSK1y4sDo+EydO1LvFKYFWodBKjx07dswD1q9f 76+YMAzjDrCF8uTJg/akQoUKO3fu9Ij/qKgo8gOyZcuG1o/+btiw4T///OPp N3AXH8R26NChlStXRqeDXsmPUtRM3i1duhQdnNx5wSz3cTzN44PYWs27NJTX fqynCxcuzJkzJz0uU6ZMQgaC999/X+3/+++/1zTGCFxV+C9SpIieZ1xSh+/H XENOQYpS3JAm9evXb9++PSJD4vSJJ564efOm+0957bXX/Gs02iUV9pIOgfDt woDBgwcj8m+//balu+hrA/I0JibGSxHzL6TCUFz/56Bx48Y1a9bMlSuXqG4X LlyQ/UNr165dm65mzpz5hRde6NixI0TN448/DhfUwX379gnPQoVBzLZq1apR o0ZVq1alqgE++eQTdXyGDBki9F25cuXatm2LBg31iFxGjBjhkbf2e4VKTU1F ajR0kDdv3o8//thfMWEYxh3QQaDNNP8R0qn/pKSk/Pnz2xzftaKjo+/fv3/7 9u2RI0dSG9i7d28PRdwz+DK2s2bNQpjz58/3YJiWMJPXX331lcJqDWQV5rPY Ws27wM9rP9ZTPI6eAmPs999/p2lIR44ceeWVV8j9jz/+UNwSERFBUd2ghcLM AxCV8N+vXz+15+3bt+tFzC+5VrduXXrrDh06JCcnC/f169c/+eSTkydP9shT /G402h+osCpVqvgxDu7wwQcfuKDCHnlIhaGsyo7//fff+PHjqWCjLZIviWHf evXqXb16VbhDrlaqVEnxEUaoMPnbyKlTp5599lmSfgkJCbJ/VHDyj8Zty5Yt wh2NG+pXmTJlPDXvOhAqlADil1UYw6RRYK7A9vCgf/pqHRQUpJiK0KdPH7gH BwffunXLxbh6AV/G9t69e+gF/ChqzOQ1rPG7DyhUqFCAqzCfxdZq3gV+Xvu3 no4dO7Z79+6pqamyY2JiInQWnv7hhx8q/Pfv399mek4XtAxZYqtWrbIUK9/n 2uLFiw2+6huvlTtx4gT0rMmRMqtGo6XABcjQo0ePRkVFHThwQL2ozZcqDMJ8 586dJgfXLl26tGPHjvPnzxt7a968ubdVmAvJbulNvYGmCiNQ3nDpmWeeES77 9u2jgarQ0FBF9QcpKSmKBV+aKgxs3bqV3H///XfhiHtDQkKo+Tp9+rQ6PgYV CjJt9+7dR44ccbrijAiECiVgFcYwaZfHH39cbsfc90/NYJMmTRTu586dy5gx Iy5NnTrVlYh6Bx/H1r+tpdW8pqn1gazCZLwdW6t5F+B5HZj1tE2bNnj0iy++ qHDv2rUr3Bs3bmwmkIsXL5KFtmfPHqsR8HGuVaxYkYzGGzdumLwlISGhU6dO 8hzO0qVLO/26YtJotBT40qVL4ZOKUFJSUr9+/cS8L5AvXz6FzWlehb377rsI uU6dOupLXbp0waVXX31VdmzRogUc586dC0t16NChMPtFNGrVqgXTWvMpMNTb tm0rJuWCQoUKtW/fXh4ugZCvUKFCiRIloDJoyi5qVvDDVKtWTQ62QYMGwVqM GzdO733NJ7trb+pVDFQYfTxBugmXt956i2K7d+9eM4HrqTCoOXKXh7YXLlxI jkOGDDEf/2XLlqEaikmM2bNnh9x2KskDoUIJWIUxTNrFsyoMTSWZcL/++qv6 Ks040lz34Rd8H9sAt8wVsAqTeZRUWMDWU1iweHSzZs0U7rTFASxwM4EcPHiQ 7JazZ89ajYAvc+2///6jFS59+vQxecuuXbtg7tLbwbiFYSaMNEhUg6/lZoxG q4FDC9gcW4jgRSh8mVKlSin8m1dhJMarVq2qvtS6dWtcev7552VHiDI4wuYX k1ppSipRpEgReaonMW3atKxZswo/BQsWFOsi8+fPLzTCnDlzbM4oW7asHDKi relt2LBhmi9rKdldeFNLHDt2zOqMXAMVRvmIllm4lCxZEi4KEW2AngobMGCA zaGa5d02SPSh6TM/Mti5c2eRetDjmTJlor+hhlavXm1wYyBUKAGrMIZJu3hW hZ07d45aDOrFLl26FBERsWjRIhrlh13ntOHyJb6PbSBb5mpYhck8SiosMOsp bI8sWbLg0RMmTFBcIuOzfv363bp1Cw0NrVmzZvPmzQcOHHjixAl1ONu2baO3 mzRpErzVrl0bJiteCha10+lGvsw18T0fETPjPykp6emnn7Y59jP55ptvaHrV 6dOnGzZsSOHAZNW716nR6ELgZDTCEqbcqVSpEl4EZSklJeXAgQPr1q1T+Pe2 CiPeeeedkydP2h1DopDz5KjYvyUqKoq+QsDYnjFjBg0x4JUjIyOfeuopqKrE xETyCcdzD0DMccubb7557mEUW6BfvnxZ4YG2qtBUYVaT3eqbWgXtwGOPPfbt t9+av0VPhUVHR5OoadSoEblAIdKQk/nPDkKFIZGvXr169OjRDRs2dOrUCZFE W/Hdd9/JnsPDw+GzTJkyJgP/6aefKHA0EYcPH7Y7pkSiVOfIkcPmEOYGai4Q KpSAVRjDpF08q8J27dpFLQy6HvxE80s/ly1bZndsXoS/Q0JC3I+2R/B9bAPZ MlfDKkzmUVJhgVlP6fs2Yh4fH6+49Nxzz9m0gOfBgwcrPC9fvlzTM6hYsaI6 cBlf5pqYQGXyPF+xd8ovv/wiu0Na0hYfmTNn1lwOYzdhNLoQOBmNBFSA+rAn BaTCsmXL9qKKjh07yj5dU2GwzKdMmSK7JyQkZM+e3fbwSsPU1NRixYpRTNRT +KC/zpw5oxn/6tWr21xaF5Y7d26bjgqzmuyW3tQ1evXqhfAVAscAUmF4+loH q1atwr3IUNrzEEGhtSGfkBL0stOmTRO3Q5odfRi5IOntVA9hK4IV0Pze0NBQ M9FGRtN8vwoVKkDmyJfWr19PTzFIzECoUAJWYQyTRklKSsqYMaN6RzKX/aMF pjaEvvyULl2afn7++ef4OXnyZJvOTtF+wfexDQ8PV9gbPsNqXttZhT2M1bwL 5LwOwHq6efNm+k6uVlV2h2WIq40bN4Zy+fvvvyFbJk6cKGb4wHqRPcfGxsLM Lliw4KhRozZt2oSfK1asoI0CbI6xGINF+r7MtR9++IGidPDgQTP+X375ZZvj C7n6zCOxWYH66DTCqdHoQuDCaESSmpkIZ3BemELyu6bCwsLC1P5r1qypePGY mBh6qMFCLU28ocKsJrulN3WZnj17Qj2ZHFbTOy/M5jhnQa6b27dvV7/Rnj17 FHcNHz5cXBUqDFoJIgstlTjhAk1c165d5TM1ihYtanPsaW8m2mhwKBzNWdk0 NbpcuXJ6twdChRKwCmOYNArMgMcff9zpGffm/Ytv7LR39MCBA22OQ3D2799v dxzKo+5w/YjvY4t+P1euXB45AMgqVvPazirsYazmXSDndaDV0xMnTtAJXzBa FN+lBer9K86ePZs3b16bY8G74hJ0ltqM6devH7317Nmz9WLiy1xbs2YNxcfk txHaRwKWp/rS3bt3aeihf//+mvc6NRpdCFwYjSZ3QSEVhgfNUaHYzdI1Faa5 eUuTJk1wCSaxcBFnzxmfXK/GGyrMarJbelN36N69O4QYWhKnPkmFBQUFVXNQ pkwZSt5WrVrdvn1b9nnq1Cm6FBERIRwhirM/QP0dRnNd2OnTp9Fk0ZpKlAfh TseQ1apVy8wLfv311xTyxYsX1VehBG2Ow8v0vtgEQoUSsApjmDQHzJ46deqg KZDbQ/f9i/Umf/31F7nAUhJfq+i8lQBcF+az2MIwrlevHjpl8xPj3cdqXgtY hclYzbtAzuuAqqewzYoXL25zrOKndS7mISMN9phYyGNAamoqzdqC3ajnx5e5 JoxSeYKWHsgd8qy3/9tTTz2Fq82bN9e8amw0uha4MBrlU58M8Pa6ME1tAgNV oU1o4isw2MxEE4+rMBeS3dKbqrl169ZgcwwaNChjxoyoWT/++KPx2ynWheGl 6NCQEiVKJCUlyT7v3btHCz/1JAOlsFMVRtAh2kDM6+vYsSN+FihQwDjCBB3J ATSv4q3p6oEDBzQ9BEKFErAKY5g0R0xMTObMmXPmzBkVFeVB/2LvtUWLFqmv hoaG2gJyj0SfxRbdEH2Q19yE2UtYzWsBqzAZq3kXyHkdOPX0zJkztG3aE088 oWfwGBAZGUl2i8mNr2mDBfX+/AJf5tr9+/dpm77XX3/djGfa5EHT3EK0ke82 /eO2jY1G1wL3tgrT9Om+CpsyZQpF+/jx42aiLSCNgLewdJddX4W5kOxuqjDk VH3TUCo5/Ryh3p1j5syZdK88t5CoVKmSzbGrpOY+OZZU2M6dO+mS2Mxw7Nix 5IJLxnEGkyZNMii9o0ePtjk+7+gdmxgIFUrAKoxh0iI3b97s3r07OgiTM5BN +ic7Jzw8XOF+8eJF2gr4m2++0bv35MmTMKvMz4hGWxcdHb1lyxb1+Y8m8WVs 7Y4vbGjYDTY7knH/7QRW85qwpGt8n3cKvBpbu8W8s+rf93ntTsn3VGzj4+NL lCiBZyG2ZgwnNRMmTCBjycwcQhg/tKjEYCzMx7lGljPYvXu3U88vvvgifCpO pyLE4hrFVgACUtYwHT0YuPdUWJcuXWyOTerUl+joZHdUWFRUFEV7xowZZqIt oJU+DRs2tHSX3XBGotVkd1OFmWfOnDkZMmT46KOPnPpUqzBUNNpOJ1u2bIqt Tnr16kUvpfn9x5IKE4tbRdMRExND0xTFrowGoI7T7StWrFBfRQrbDDeHD4QK JbCkwjze8zIM4zJXrlxBq7Vx40YP+v/2229tjr3LFF8aBw0aZHOsPdGbO4Q+ kaaF58uXz8zyJTT16Iup1XKhZ/RxbIlWrVqZPHnWI28nYzWv7VZ0jV/yToH3 YkuYzzur/v2S1y6XfE/FFrqDttcoUKCAmBipyebNm2fOnKl2v3HjBo2jlS9f Xo7ewIEDNdd6fPXVVxTtBQsW6D3Lx7kGHUorREJCQmi/Shm8tbxyREylW7p0 qcInbX+dMWPGo0ePaj6offv2NsdGdnrrXFwI3HsqDILF5hDXipMIRM11R4Xd unWLZFGePHnU5QQ26rZt2zRjRWlYtGhRq1MZDVSY1WT3jQpDzuK5H3zwgXpn CTWaO9WLDShatmwpu6O9pdSAwFGXVfMqDFlAo1GZMmWSPzdRHgHFHpJ2xwkC iMyhQ4fop9hVEoJRMTAnRtk6dOig99aBUKEE5lWYN3pehmHcwbM71dsd6+Jp XWqJEiVoH2BU/KlTp9JHqp49e+rdKB92+fXXXzuNiWjnCbSx5t/C97ElzLeW Hnk7BU7z7t9//70uUbBgQZtjToVw0Zue4Ze881lsCe/tVO+XvHa55HsktqtX ryYTKH/+/BBZMLaPPIyQJDDb6OTTN998MyYmRoQAEVejRg2Kg7yZ26hRo2wO ZQeZKQoAXnbkyJF0ehEkm7yvmgLf5xqSmkIoVKjQvHnz8OIwOPfs2UOr84A4 vAmvQ1us58iRAwYbmY6QojR/z6a/NYdd2jd73LhxZDcePHhQ3uvbhcC9p8KW LFlCIYeGhtJ3Etirffv2FantjgqTY164cOHIyEhSVUh2FKp69erBffny5eqg 6MOFzTFJTwgxSAA91SYwUGFWk90HKgyFEALhvffeMyPB7PrnhdGoJUAFl90j IiLIPW/evLNmzaJVXZcuXRoxYgStGtNUYUhnpPnt27fROCxYsIA24gCK0TpU H3GMdefOnaGnUlJSrly5snDhQlqKhdQWeSc+y4SFhZEexyuj2aSvQ0888YTm xxwiECqUwL99DcMw7uBxFWZ3mFh07iHZPLSPGXjppZcMjkGUjwQymA0lQEtF k6sJzRkOZvBNbAnzraWn3k7Gad6h57UZojdDwy9557PYEt5TYX7Ja7urJd/9 2MbGxtIAkAHi0B8YUXJGw9iDiIZ2Ey64Kge+fft22hzA5vhO/vTTT1eoUEE8 Ljg42HhbeN/nGl5QCDFCThxoT1kzbty4Ea9Al5B3ZcqUobEhyjWDOaiwJ0Ve 4w9KQMX5tlYD954Kg8lKJ97aHCNiomRWrlyZNvB0U4WBHj160AcHm+PkJpR/ +ixA7665iyZSgCx5m8NER7lCfMjmP3XqlMHrGKgwu8Vk97YKQzGGBIN+MSnB 7Poq7MSJE1RBQkJC5JEsZC6SgtalEiS+CJRMeRBf77wwomnTpupxSSgvGiIn aH41gYyQd+NETMRp1zZHf0E5RVH67bffDN46ECqUwL99DcMw7uANFWZ3zHxG 2yvaHDRBHTp0UOyYpGDWrFn0sbp48eLqXak1+f7776tVq0aPMLPPmH9ja7do yXvq7QRO8w5xM+jybI4PiZo3+iXvfBlbu5dPbfZ9XhMulHz3Y6v4HquJ4ujV zZs3N2zYkHJNAMs5MjJSHX5iYuLgwYNpxZkACdK1a9dLly4Zx81fubZixQoE JV4QAqFixYoTJkxQG8Pnzp0LDw+XlRpEypdffqm53YHM2rVr6UAlAplep04d xXixpcAXLFhAfkwajTSJq3r16mY8Hz16tFatWiIasHI7deqEnKUjuV944QXZ c1hYmM2hWNXhGGgTCPbatWvLciBnzpwtWrTQO7XZ7thK9JVXXpHLFXIKb2S8 tbixCrNbSXbX3tQ8a9as6datm9OyJKOnwkD//v3pddTLFVGjIaVl/YUQ0Phc uXJF9jZ+/HhFy5AnT56qVau2adPGYAjy5s2bXbp0EV9jbI7PL2+88YbmfN2f f/6ZZrMTKA8NGjRQH+etxu8VSuDfvoZhGHfwkgoj0BjC4vrrr7/US2s1QeOD 7sxSF4BGm7pRdB/m79LEB7G1asl78O3s1vPaEv7NO6v4IO/SUF5bLfl2P+Ud LJy9e/euXLlyy5YtZgyV48ePb9q0CQInLi7O5FJ0/+ZaSkoKiuX69eudfhyA z5iYmKioKLFNtxmQCAcPHkQC7tq1KyEhwbOBewOonnXr1qFkmh+asUpycvL+ /ftRomB4m3wKyt6GDRtwC1LJYNTYKoGT7D7jzp07yFzoqfPnz3sj/AsXLqxe vfrAgQNOcxY+ocp3795tcKS7mgCpUP5ttRiGcYesWbMaj7y76d/b0Fz9TJky Of3KHQjUrl27e/fu5v179u0479zBat492nmdtvLOPP7NNYZhGKtYVWHcajFM 4FClSpVWrVp5z79XOX78OJ33miYOy9i/f79Na+8mPTz+dpx3LmM17x7tvE5b eWcev+cawzCMVSypMG61GCagmDNnDupjhQoVPvroI71djt3x7z2mTp1Kq7ZD QkLM7zfuF5YuXfrpp58WKFCgXLlyKSkpZm7xxttx3rmA1bx75PM6DeWdeQIk 1xiGYcxw//79lStXLndQo0YNk5KKWy2GCUBiY2N79+5dq1atDRs2eMO/N0AT VLx48cyZM48cOTLwDx/85JNPGjVqNHjwYIOdb2W893acd1axmnePdl6nrbwz T+DkGsMwjFOSk5OLFStW9AFDhgxxegu3WgzDeJBVq1bFxcX5Oxbegt8u/ZC2 UiNtxdZ7cDowDJO24FaLYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiG YRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiG YRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiG YRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiG YRiGYRiGYRiGYRiGYYw5cOBAiIO4uDgXbt+3b1+zZs3CwsJ27NjhfmRWrFhB kUlKSnI/NIZhGMa/JCQkxMbG/vfff94I/PLlywcPHrxz5443Avcs9+7dO3z4 8JUrV/wdkYAgPaSG1ZJ/48YNFOa7d+96NVZM2ip7XIrSFqmpqXPMERUVRbds 27bN5mDPnj0uPLFx48Z0e+3atd2P/3fffUeheanLfjTwahtiNXBLVT4xMRGy /erVqyYDR3lGZI4dO8ZNCsNYAnVt7ty5w4cPN/l5zeP+4+PjO3fuXL58+cce ewxNOv4vV67c7Nmz79+/r/a8atWqovrMmzdP4T85OXnYsGEFCxak/iJz5sw1 atRAIGZi7nuQFGFhYcHBwRTb0qVL9+3b14NtGjr0JUuWXL9+3VMBuoyZUuTt 1PA7lko+MWbMmAoVKpD/7Nmzv/zyy3/++afCz8qVKw3qCFGiRAk3I2+1LHHZ 8xJcitQgp8aOHTvmAevXr/d4TNzn5s2bNnO0atWKbnFThbVo0YJuRyfofvzT rQqbMGGCKFqoJnrevNqGWA3cTJUnjh8/3r59+7Jly5JnkDt37l69ep0/f14v cBTLunXrZsyYkfxnypQpNDQUCk7t06r9Zrdel9NE3WcYAepynjx5UHFQQ3fu 3Ol7/wsXLsyZM6eovKJVAe+//77a//fff2/QW+Gq7PnWrVvPPPMMXULLU6xY MWGo9OnTx8BK8QtRUVGUViBbtmxBQUH0d8OGDf/55x+PPGLo0KGVK1fOkCFD 69at/WhSmilFPkgN/2K15KekpLz99tvkATmYI0cOkTjLli2Tff72228GdUTc 5Wb8rZYlLnvegEuRJqmpqY0aNWroIG/evB9//LHHY+I+t2/ffulhSpYsSQlb s2ZN2T0iIoJucVOFkWCHjR0TE+N+/NOtCnv88cerVq1KpWvSpEmafrzahlgK 3HyVh0U0bty4rFmzkgeYScIzgEo6e/asOjKRkZFCr0EMVqtWLXPmzPgbsVI3 sJbsN8JqXU4TdZ9hBGiT0eBfvnzZL/6jo6Op9tWuXfv333//999/4XjkyJFX XnmF3P/44w/FLeiP4F6wYMENWly4cEH2TI0P2oRp06bdu3cPLtevX0cfRIH/ +uuvJt/CByQlJeXPn59eDcmC9hB99MiRIymqvXv39uCzZs2ahTDnz5/vwTAt 4bQU+TI1/IILJR/dPV3q0aPHzZs34RIbG1u2bFm4ZMmSRZ6UgtA0awf44osv KJDp06d75EWsliUuex6ES5EZz//73//MWGKuxcSziISlrFTjpgrzLOlZhaG6 GXjwahtiNXDzVR42Ur169eAOJbV69erExES44BE9e/akEMLDwxWBJycn01eg 0NDQ/fv3k+OJEyeeffZZOJYvX17h35L9psZSXbbq3+99E5M+yZYtG8qeH/2P HTu2e/fuqampsiOqP80h/PDDDxX++/fvbzM3oeLq1avUdIwaNUpxCXUT7miI AmeZGH0jCgoKOnTokOzep08fuAcHB9+6dctTz0LTWqZMmb59+3oqQKs4LRW+ TA1/Yank3717t3jx4nBv166d7I5uK1euXHAfMWKE0yfCWKpYsSI8t27d2iOv YLdelrjseRYuRU6xZIn5t3yaV2F79+4lF3Rhf/75J6S3N77hX7p0aceOHXpT 0dxXYSh4O3fuNDMTDJUOPo8dO+Z0Bgs8ULDQGop6oQkkTFxc3Pbt281/W3aq wrzahlgK3GqVT0hImD59uroskcmUN29eRfqLD0EKAfX333+TuyJVzdtvmnhV hfm9b2LSJ07bEx/7F7Rp0wa19cUXX1S4d+3aFe6NGzd2GsLq1aupHUBXorgU Hx9PlxQj8n4kJCQE8WnSpInC/dy5czTdeurUqR58nNXWzLM4LRU+To2AQrPk L1myRGF9CahGPPnkkzTaa8AHH3wAn+XKlfOsjvBqz+hx0knZ41Lkg5A9jnkV dvDgwd27dzdt2pRsaZA1a9aIiAiFkdygQYNgLcaNG2cQjdOnT7dt21bMeQOF ChVq3769YhcIPRUGXfPaa6/hKShO8phdixYt4Dh37lwox6FDh4rFAqBWrVoQ kpqRmTNnztNPPy3mvGXPnr1Vq1aaignR++ijj0SCAFT2ypUrT548WVMnLl68 GHLAJlGgQIHmzZura4cC/7YhlgL3SJUHvXv3hmeEn5KSIruvWbPG5pjoiEyX 3ZOTkynLIMfUDzVjv2ni7brs376JSZ8ErApD94Ha2qxZM4U7rS/u0qWL0xBm zpxJ7YZmI1OiRAlcHT9+vAtx8zh3796l9lNzkiTNL9Jc5eEygWwJ+z41AgrN kj9s2DCbYymT2v/WrVs1v0YqWL9+PXmD8ebZCKetni6dlD0uRT4I2eOYV2Ej RozIkiWLzTEmgiItdMSUKVNk/1WrVrVpgZKgF4dp06aJlUE2x+Qxsewof/78 sjGvqcKgzV966SWbYyGAoqK9+uqrcO/fv7+YMZstWzbxoCJFisB0l/3jZ6NG jegqQoNqK1q0KP3Mly9fbGys7BkqoFq1anQVyqJ27drly5cXMS9cuLDio8H8 +fNJJqC+V6lS5fnnn8+bN6+IzMSJE3Uzya9tiNXA3a/ydsfYOoQwfKI4KS4h j0j2QurK7mvXrqU8VXwWMG+/acIqjHn0CEwVhladupgJEyYoLlFLXr9+/W7d uoWGhtasWbN58+YDBw48ceKEwuf27dupkTl8+LDiElrsSpUqBY5Bde7cOYoq 9XGXLl2KiIhYtGgR6UdEEpfeeOMNDz4xkC1h36dG4KBX8t99912b9P3zjz/+ GDVq1KlTp+yOuSWUXHp7XhFkGrn8EdKAtNXTpYeyx6XINyF7HPMqjPTRggUL 7jiIjIyk5Tmwe2X/ly9fPvcwZDPrqbCoqCgy8oODg2fMmEHLiFCcEP5TTz1V tmxZGOTCs1qFwT/kDIkm9ZpE6ruJd9555+TJk3C8ePFis2bNyFGxOQNNsQOf ffaZ2HQiOjq6TJkycKxTp47sed68eeT5yy+/FN9dU1JSfv755xIlSgwfPlwR mXLlysFzxYoV5R0njhw5goghDdXzZ2T82IZYDdzNKo+itXTp0urVq5Nc3bhx o9oPDW9B0iKbaHLpjRs3nnvuOTj269dP4dm8/aYJqzDm0SMwVdiAAQNsjukE 8fHxiktUu9XA8+DBg2Wf6BEyZcqES6hZ8vovhEkSDKBNsBo3b7Br1y6KD9pY /BQfAGnC5JAhQ/B3SEiIB58YyJaw71MjcNAr+Q0bNoQ7ulT8vWPHDkqQZ599 1u74OpohQwb8XLJkiV6wmzZtoluQth6Pc9rq6dJD2eNS5JuQPY55FVa5cmXo F/kSrbixqVbiKMidO7dNR4WlpqYWK1bM5hiiUs8PhP46c+aM7KJQYbDAyVzP kiXL6tWr1eGTBQ5zXTFgl5CQkD17dtvDyxghDahAwrZXhIPiR8NYmzdvFo6f f/45RQahKfxDoShGZKDOKHDNjHa6ws6PbYjVwF2u8lCjJUuWFKOir7/+umLw UQDjqkOHDuQtR44cuJHsq7feeku9Ls+8/aYJqzDmESMpKSljxozqb1b+8k+g aaXGQbNW9urVC1cbN268cOHCv//+Gw3LxIkT8+XLR3V57ty5sudRo0aR+zPP PDN06NARI0Y0bdqUGnzRtliKm5dYtWqV3J2VLl2afqJnwc/JkyfbVB853SQ8 PLxjx44eDNA8TkuF71MjQDAo+bR+gRYOT58+nRIkKCgIiQkX2p9cc5tfguyf 0NBQb0TbalnisudVuBQpsGpZ+bF8mldh0dHRikvQBXTJeDTTQIXFxMRQCMar xgSyCrt69SrNfoQEW7NmjaZ/Kj9hYWHqSzVr1rQ9PIhDm/5BD2ou6apQoYLt 4emXNAXO5pg1t3TpUsXkRjUvvPACFf4BAwYcO3bMzPsKjFWYV9sQq4G7XOVp yQaB9uT9999XzykiIHtpragMbtE8ldWS/abG26rKj3WfSZ/88MMPaE+uXbsW IP7tjj1O0YagPlaqVEmxDlRw48YNhcvZs2dpUjcaJdn9zp07vXv3lqfN2xwr cFesWPHyyy/bdD6F+R7xgYtmaA8cOBB/58yZk7Z+hX60efoLPPrZXLly0YQT H+O0VPg+NQIB45JPnzRpAu3FixeptFN/4XQU4/r16+TBwMB2B6tlicue9+BS pMaqJebH8unOTvV79+6lS/IIkRoDFSbOcjI4zVxGqLCTJ09WrlyZ/q5fv76e f1JhmtNZmzRpgkvolIUL7GGbYy+Od7R44okncLVbt25yIMOHDxebeEBfdOjQ ITIyUu9wLtQUIWFA9erVke8HDhww8+Imx8K80YZYDdzlKg8tD/dvv/22bdu2 tHwP+lqtkiBgKRkhfmNjY6F/W7RoIZbjQXOp97Q0b7+p8bYK82PdZ9IbaILq 1KmDxkQcB+lf/8SpU6doV9XChQvTpHHzjBkzxuaY7SBPXCeOHz8+e/bswYMH T5o0aefOnTRKTut80etZeoqXEJO9//rrL3JBuyS6D/rQ5NnVKDBE69Wrhx65 T58+HgzWGJOlwvep4Sbr1q0bbIi631HgtOTT9H6x2UJycrLwdunSJUouvW/g ixcvJg96u5C5idWyxGXPS3Ap0sSqJeaX8km4o8LE3uAuqzCayApMHuAiVFip UqVsEt98842mfwMVRhuhyypMb18Rma5duyrCiYmJad68ubzpB3TcJ598onnc cFJSEkyC8uXLy2FCjollVnqYXBfmjTbEauDuVHkB+q/atWvbHPtwypOckUq0 DLBp06Y0uEacPn06LCyMAv/xxx/NvJeB/SbjbRXmx7rPpDfQWGXOnDlnzpxR UVGB4B+cOXOmZMmSqIlPPPGEyU9SMpGRkVTrnW4za3dsaUsfzQJkp3qx8RHa f/XV0NBQm6c3EkH72a9fP5tqjbNXMVkqfJ8abgJrpL4hxptQmSn5tNXVM888 o74kZvvrPYW6ZljmLryaGayWJS573oBLkR5WLTG/lE/CvypsypQpFMLx48fN xFaoMJArVy7ULCggm2NrDs1e2JIKg5SAS5kyZfboo6mt7I7tRFasWIESS6fm gTx58ugta7I7NuVAyqOhFkNp7733nsGLm9wj0RttiNXA3anyMhcvXiTP8oY/ UILkqFiiaHesMaQlYLVq1TLzXibtN2+rMD/WfSYdcvPmze7du6NNdjqD2gf+ 4+PjaR4y/O/cudNM+ArQONC3FDOjyZ999hk8Z8qUSe88SnDy5Em0DCZf9v79 +9HR0Vu2bDFzTKQmVapUsWmdTY/2jcb39T4wWo0q8eOPPyKt1q1bZ8az+28n MFkqfJkaHnw7FzBZ8kUntW/fPsUl9DI2w2NfaK10y5YtTUbJagJaKktW/XPZ MwOXIgOsWmL+Kp92f6swyCgKYcaMGWZiK1QYhD9t2IIqRuWwdOnS6o7Ykgob NGiQzbFpgzvH0qWkpEyaNIlkS5s2bZz6j4uLE9tHqHcGEzjdc8yrbYilwN2p 8gpoE05oW+GycOFCyiNN/7RfCvSvmcBN2m/eVmF+rPtM+oSGhDR3H/Wl/927 d9PyzAIFCohxdk3Qv8ycOVPtfuPGDfoOXL58ecUleaD8/7R35mFVVG8cH1ci Q0tzN0FFFDcyM8N9Kfcly4Is1zTLIlP72SaaS1pmixmZlpWJVmJuiZhppmTi rpALiphZWqK4IeDG/X2feR/PM87MnTtzuRvwfv7wkZkzc885884573fOOe8h 0tPTKUDH6NGj7f0QuiGaMo2MOVzXJsblQbdu3YwT22Pu3LnUoKm+Q1JnhAbQ 3ki9pawKIiIiTIabdknplJixCo/VhstLZwnzln/t2rV77rlH0uy0kpGRQUsk Jk6caO9a6j3HjBljJktOmJN5W7Kanm3PDGxFxlj1xLxon95VYdA7dBaes3Z0 Az4nfl15RKgw5ZS2pKQkWojdr18/1R0sqTC8pHTzgQMHGhRHkJaWZk83tWnT RpKnGioPrlu3Tnfi5YYNG+h3V69ebe+3HKowt7Yhlm5u6ZW/fv06RJZuBFRo DaoW/Lo4iJaHDup++RkwYIB06yI1J/w3Fe5WYV5895kii9cj1a9du5Y0UcWK FfGSQiIdvhWKyGqTp+xWrlwZKR999NHdu3eLO6ApoEBAkmbleExMDDqUr7/+ mhaq48VZuXIljkjy6l0D90A5Kf3jjz82LqPY/ZAwDhRsj+zsbMpYUFAQrbxA bpF/miMxatQol2RVYL51cknpVDi0Co/VhjtKZxLzlk+8++67lEn0m+Q/nDx5 kr6Lli5d2t4GN5cuXaKrTMY9c8Kc3Nczsu05hK3Ii3d2uX16V4WBRYsW0U2q Vau2bNkyshA45+hk27Vrh+OrVq0SiXV3bQYzZsyg46qI9JZUGIBwoPtERkYq Jx8eOnRoyJAhSvmQlZUVGhpasmTJkSNH0mZYArwgFG5dGQZ//vz5kuzzq0ad oF8oJ8BgyzDvtiFWb27+lZ80aZJ0M24kzIki9uPmS5YsQfMiyXNNldIPd6M5 n4GBgUrtBsEOtUX5EQusnPDftPhOpHoveg5MIcO7KiwlJUUVwFCLCIwMJTV8 +HBxHG80mixqHAjVXG40VrT7CbU2aHLFot0KFSoYx89X7mphMHmAyMjIQOsk 0utO2DYD+os77riDboLcUtQg0Lp1a9oMMf9ZFZhvbVxVOiVmrMgzteGO0pnB kuUTsOfevXvTqbJlyzZs2JC+muI+BgF+U1NT6RKTq6SdMCf39XRse8awFXn3 zi63T6+rMPDSSy+J5VEoHexf7O2Cl2LhwoUipT0VBie8a9euktztKvNpVYVB +7dq1Yp+AlmqVatWeHi4WOqFzIjf/euvv5RbQpcrV+7BBx/s3r27iLxRvXr1 48ePizvT51k6BfsPDg7Gqw2ZKd56472rvN6GWLq5+VceCou2ZSfw3JGYtvmm R/Ddd9+pbp6UlEQbxEvyaOOTTz75+OOP047YAMURz8iq/6aL76gwb3kOTOHD uypM9T1BF5UXgS6mW7dutB2zgD5qae9/4cIFvFM08k7gxenRo4fBcjBiwYIF 9BOBgYEOA9zZ5Bi/zZo1o5/49NNPHaa3B/qssLAwaiQluaMZNGiQdlJlfrJK WGqdXFU6gUkr8kxtuLx0ZnDC8m3yR+lRo0Yp7blevXrGk9jRS1JK5UdsA5yo QLf2jGx7BrAVeffONlfb56xZsyRZF9iztK1bt9JvUWRyJa5SYWDLli3QO7Sc iggICIB3rdq1mUaUkEy7iOm///6rWrWqJC8QE8uOKG7eo48+qv1FXRVmuzmq QpE/BdAFw4YN04YQwevQq1cvIdMI9Ph4c7U7gsE3mDx5cpMmTZS+NAgNDXU4 IuMLbYilm5t/5fGwPvzww7Zt29IMZAGeHaxC9+YHDx586qmnlNYiyUsFYWPa RV6W/DctvqPCbF7yHJjCh9dnJDrHxYsXd+3atXr16k2bNmVkZDhMf/z48cTE xH379pmMwWuTv3WgoTO5cNUmLzmhhsjenpXmQduFDmXPnj00JcAhVrNqs946 ubB0NotW4YHacG3p3A08k/3792/cuNHSTnzmsVqB7u4Z2fbcQdGxooJln74D tBW0HnrYw4cPa3d98jCZmZnowdevX6+aYavL2bNnkfi3335LTU01Vj02eVod dATUwbZt20zOK/OdNsTSzS298kiM2ouPj8fNzQRIgbUg/dq1a2EwJ06cMM6/ Vf9N4FMqzFZ4333Gk/j7+8fFxflO+oILrZk1WFvhU4SHh0dFRZlP79rS+ZpV FKxn52tYtSW2PSVse4T7rMiqZ+Vd+2R8Hzd9W2Yc4m5Vxe8+43maNGkSERHh O+kLKEePHqVZE5ZeeW+RnJwsaZZOG+Dy0vmUVRSsZ+drWLUltj0lbHuEW63I kifmdftkfB9WYd7CrSqM333GK8TGxtJc6JEjRx45csTr6QsiMTExtDw2LCzM TdN7XMWKFSvGjBlTqVKlkJAQihvpEHeUznesogA9O1/Dqi2x7alg27O5zYry 8vJWr169SqZ58+Zm3CQfsU/G94EKGz9+PFmXdh8uxrVYfZf53WcKHCkpKWPH jm3RosWGDRt8IX3BAq98YGCgn5/flClTfH/zvpdffrl79+7R0dHa7WB0cV/p fMEqCtaz8zWs2hLbnhK2PcJNVpSbm1uzZs0aN5kwYYLLc8JPsMgSHBwsTMtg 11HGJVh9l/ndZ5iiRnx8/IEDB7ydC3fBpWO8ReF+OoW7dEUBfoIMUzThd59h GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhPMm+ffv69OnT pUuX33//3dt5YbwMG0MhYOrUqffff/+rr76al5fn7bwwDMMwDOMFtmzZEitz +vRpb+fFy8AdWrp0aayCxYsXb9iw4eDBgzdu3PBu3nr27CnJhIeHezcnTsOW 5ip82Rg2bdoUa8jJkye9nUcXs3v37vfff3/EiBFDhgyZNWvWb7/9lpOTY3zJ 3r17pZv89NNPnslnAeLs2bMpKSnZ2dnmL7l48WJycvLly5cdpkRjfujQoQLR Clmth3Pnzu3fv//69etuzRXDMAxjzIULFxYtWjRp0qQDBw4Yp6xTpw45A+++ +65n8uYVtm3bNm3atF9++cUgDfpxyQ6opdmzZ7sqMzNnzpwxY4ZDV03J448/ Tjlp3ry5q7LhYdxnaWYers9SyIyhb9++9l4iYu3atd7Oo8uAk4xnUaxYMVUZ g4KCNmzYYHAhXGWROD4+3mMZ9i4Oe6XU1NShQ4fWr1+fqhT/hoSELFy40GC4 MDc3d9y4cXXr1qVLihcvHhoa+vrrr+sqF9y/S5cu5cqVE606rvVBzeJEPaAB RMEpfZkyZdq3b79jxw5VmtWrV9dwBEw3n5mPjY1dvnx5ZmZmPu/DMAxTQEEb Xr58ebTGaJaTkpIMUu7cuVM4A82aNfNYDj1PdHQ0yvj0008bpBEqDPX2iEzH jh3R/Ykqmjx5cv5zcu3aNeor09LSzF9F/fLAgQN3796d/zx4HrdampmH65sU PmN44403Wt+kVq1a9MQfeOABcfCPP/7wdh5dA7z3zp07UwH9/Pw6dOgACwwL CytZsiR5zl9//bXB5TExMb169Zo+fXoRmZHosFdasmRJQEAA1Wfp0qWFVgLP Pvus7j0PHTp07733imS4SvwfCuuff/5RJk5MTKQMgNtvv50eE+jWrdulS5fc UmansFoPV65cgeFRAojQO+64Q5Rx5cqVypRxcXGSI3BVPvM/ceLExo0bIyeR kZE+qHAZhmHcDTw0uD3//fefw5Tjxo1Dw9u+fXtqgS25ggWL5557zrwKmzNn jvI4/MaGDRuSZ/Xnn3/mMyf//vtvoa9tLW61NDMP1zcp3MbwwQcfUOnMzBMr cKxZs4ZK99JLLylHXg4fPtyuXbu6deueO3fOi9nzNYx7pa1bt1JlhoeHo2LJ YFCTHTt2pOMJCQmqS+Dh169fn6RHdHR0eno6DkJ5zZo1Cyqmf//+Snmbk5NT sWJFJK5SpQp+C6eysrKmTJlCNx87dqzbym0NJ+rh/fffF3Z4/vx5HElJSYH5 4chtt92mnHiJu22wg3hVVX2f0yxYsAB3+/bbb11yN4ZhmALE7bffjjbQTEr6 WL1w4UL6ojht2jTj9Oi5Dhw4sGXLFjMSj7h27dquXbuOHDli5pMvdFBSUhI8 UpPfh69cuYIeB/fHf4xT9uvXz2kVBnbs2EGnli5dqnttZmbm3r170YdmZGQY 5wSazt2ONx7T9u3b0Xd7fTmbwKqlWcLMw1UBnw0Pi5wWY5AGBiYMEv/BnydO nDC4xKeMwSZrvd9//101NOABLKmw5ORkZXXh/3jpcnNz7aU3X8k2uaHA/fHg TOpBPGU0Wdu2bUObYC/Nm2++SV9mtPfE5WZMy01YbUU9g8Neafr06VFRUVev XlUevHDhAnQT6vn5559Xpf/888/JurRTOiE9VPehxCVLljx48KDy+CuvvILj 5cqVM3jQHsZSPUCKBgYG4vhTTz2lPH7y5MmyZctK5uZvZGdnN2jQAIkjIyNd UgSbvPguODh43LhxrrohwzBMQaFUqVJr1qxxmAyOOn1IhBvz+uuv4//wkO0l /uGHH5o3b66culCpUiV4v3BsVCnRHaBT++abb+Bhdu3aFZ0vpb/zzjvHjBkD UaZ7/9jY2Hr16okVFmXKlImIiLCn9eBdoENHxyFmlZQuXbpZs2bfffedMhl6 59DQ0KCgoMqVK1NK1Ey5W1HOjjNQYfAG6dSUKVOUx8+dO/fee+81bdpUuTak atWqixYtUt2hR48e6JWqV68uZpgEBASoMhMXFyfSd+rUqZwe77zzjm6dECtX rkS14JmKasQz8rz7rcKkpQ0bNgwFbNOmjfbUM888g1MPPfSQOGL14RJnz54d MmSIcpJPnTp1tM7hq6++ijQwg4EDB+K2SHbPPfdA1f7444/4D134wgsvqK7y NWM4fvx4//79xSwsygxK5LG4BMYqDM8CeYM8T0xMJE8Sz3Hs2LFQTI899hg9 U2QY6kl5lflKJmD8AwYMEA0FrlLV4erVq5Xp4b7CFyUPltLDQlQNC/Haa69R mmPHjjmsip9//ln3CaJV1E2P9lY3veDRRx/VXmWpFfUwJnslLU8++STK0qpV K+VBGAleHxzv1auXmZuEhYXpJv77779LlCiBUzExMU7kzZPo1sPy5cvpWWs7 4hEjRuA4mkeH3+JoLkFISIhrpegjjzyibSQZhmEKPSb7Ozg8aHtbtmyJ///+ ++/UmMPV1Kb89ttvqWdHh9WkSZMHH3ywQoUKwgWaOXOmMjFcZRxEMj8/P3Jj xCx30LFjR1WnAIHTvXt3OotLGjVqVKNGDfrz7rvvTklJUWUGTsUDDzwgbgiV p8zM0KFDRUr4JJIj6tatK9IbqLDU1FQ6NW/ePHEwISHhrrvuEreCQyWcNzBj xgzlHeB1O8yM0pNUrndQ8tZbb9l7oCi7SAb/VqySgM/mkpAIaWlpzs0wMWlp 5GboCjQ4xjgFwxNHrD5cmxzEAz4JnYJbDusSKXv27Kn8PkBuifLhUv6Vzxds 3bpVXOJrxvDpp5/6+/uLlFWqVBFKpGLFilqfzR0YqzAxG7NSpUoin2hhHn74 YWUZu3TpIi6xVMngzJkzpJqLFy/etm1bNE3UKCmBHyvSr1q1Cvek49WqVWvc uLGoQ5iE6ubLli2jU/fdd9+RI0eMq2LFihX2HrRueug+e+kJZUNns96KWsXp d1/gtArr1KkTStGnTx/lQZSISrd9+3aHd7h+/TpJre+//157lib72Vt65jvo 1gNaAEleaqdNv3nzZqoi46ik69evN1+TlmAVxjBM0cRMf5eXl1ezZk20vdOn T7fJ8wdo2vzUqVO1iSlCRYMGDZQTseBFDxgwoHr16vCmlIlJhUnypPSPPvqI PrwfPHgQvgodV31Ypjkh4H//+59YJQ3/ljxV1cgIst21a1dKD/cMfTFpuvT0 9GeeeQYH4XyKxNnZ2X/fBKoQZx999NG/b0WZeXsqDD+BDkXbVaFQ8Gxr1ao1 d+7co0eP0sHExMSgoCBJHt1QfoXGD9Ev0oR5sGXLFlVmlKtLcK3qLDmc9hzv r776im4bHh5+6NAhm/y5GJ48LdaGE57/oFXwcqGpUVhLV5m3NEsqzOrDzcnJ qVevniQPm37yySdU1cePH+/WrRvVm3KSJKkw8nlOnTo1fvx4+hNPNjk5+Zdf fqE/lUXwKWPA75LbCQH+2Wef0ew43BDCAaoE4vTChQsOH1z+ManC8ETi4+Mh ZMQ4IyocRe7Ro4ckD3GKmXWWKhkMHjyYGiJ4pHTkwIEDJPomTZqkyg8aN5Jg sJNNmzbRQZiNaKDgryrTw7dv3bq1KAIaQ21UOgHuo3qCyABdq5tead6CL774 gi65//77s7KylOkttaJO4Ny7r8Q5FYZ6wONDEd577z3lcVK1MAaK/5CRkYEj aLfxjLQzVFF1VDn08QGGh+IsXbqU+g7oL5yCsTldNA9grx6GDRsmKcb4EhIS 0CjR4mWILyq1gVkCsuGePXu6PM+swhiGKZqY6e/EKmARsow8Fji0qpRw5mmG m26Lqg2CRCqsRo0a+/btUx4/d+4cDYrBhRAH0UHQzeE8qO6zbds2GoD79ddf xUG4lJRt9D7azBiEX8OPSqbXhcEJXyfz/fffv/POO+S96/bUSUlJqgn8Nnn2 EaXXXUS2evVqOmt1KRC5iLqON5xqGiMIDQ1VLZETnzq1CyucYPTo0XgoygFB h5i3NEsqTImZhytW4n/zzTfK4/DE2rZtK8kjCBBldJBUWIUKFc6cOYM/4fDT tSL8OOnKkSNHKm/lI8aAPFD2br/9du2AI0zlr7/+svRbTmNShU2cOJGOQMjg z3bt2pHs+vLLLymBcgqlpUomWaeKvRATEyPJQ12qm8CVpYcuzEBAerB9+/aq 4zAPOiVo1arVDz/8YGZB1kcffWSgwrTs3LmTvqjUqVNHJTattqLO4cS7r8Q5 FUYTmHFtamqq8jiZFqoC4h0aUzk91d/fHxalbAZRCXQKcgx/ikFDCiE4YcIE /D8sLMy5cnkGe/VAH5GoNxTTDJo2bWqTu2ayCuVor4qNGzfSJagil+eZVRjD MEWQnJycEiVKaCMpqUCXirY3ODhYHBFzZlTrl0HLli0l+cMj+gKH7iKpMN1v a/TVEe6u8FLIN4a7qLu9CzQFzio36urdu7ckz3W3+jHfkgrTgp4dHq/DTZ3Q 8cFjh69OV+nGoHCH4w0Xi+6pO+WGprKEhIRY+jl7jBo1Cj7P559/bjK9eUtz qwqj8IwNGzbUeshi6s7ixYvpCKmw1q1bizSUQMxahFKQ7HwKEHjLGHbv3k33 NF415gFMqjAxxgTnGX+++eab9KdwEcl51sWgkuGHk3M+f/585SXitiSxCTxZ GmvQjpEBvFaSLNB08wANqJpF2ahRo71799qtFxlLKiw9PZ0m01asWFE7+9Fq K+o0Vt99gcleSQWaNdIR0dHRqlMvvvgi1R4pU7zXI2Rq165Nx1977TWROD4+ ng5S/YiNC8nSPvzwQ/y/evXqVgvlMQzqgRZrUxCMOXPmULnQU1NXRctODZ4X ddadO3d2R7b79u07ePBgd9yZYRjGZ/niiy9KlSqldDC0wBGlVQNofjfdBF0k teFaPwQ+gOi5JHkwCw6evYEnAxU2a9YsuoOIF0F7vJYpU2aAHjS+gw5X3IFW ZD/xxBPWKsWiCqtZs2YzGQotgk5NTH/SkpWVBe8d3Q1cL9WqE+2naZt7HO+P P/6Y7nnq1CntWZr7hH5c10lzgqioKDhjsDSHKS1ZmltVGAWpgJ+mPQVPnkJw CM/NoQojTadVYb5gDCJ2nMMd291NPlWY+LagUmHmK5kEiOqDPOUK9qA8uG/f PrpDy5YttQ2R2GHBoF1Fezh8+HCScpL83WbPnj0GlWNehWVkZNCccLSTuot3 rLai+cH8u6/ETK+kAp0OtfZQWNoQuEOGDKHag9D48ccfxfHc3Fza0xyij2LX 2xRjYbRC6o033pDk+asU+IWszmfHwozrgcbCaFEbGn9aIk3ax+FYWGZmJiVw QlabAU5C2bJlvRgslGEYxpOguW7Tpg06O+0qdRVbtmyR7IPWXntJTk7O+++/ T/uzCOD9itn1AgMVJtYuCQVnL+yAEuE5o4elj9vCTzOPJRUm1oXNnDlTdURF XFycWM4Pvys8PLx///7jx4+nfHrM8RarQnQvnD9/vqradUHxo82BAsLJQRlV owxaLFma+1TYpUuX6BcnTJigm4CmrvXr14/+dE6F+Ygx0OQlZW69hTtUmKVK xp+S/BVFjBEnJibSAAGuUqY0iJ6hRPcrh6pQYgvdtm3bGqQ0qcKys7Nh9lQK bUh2wlIrqos73n3CfK+k5M8//6SwmdWqVdMNQUnDfxCYqhl6Nlm0krhYsmQJ HRHrwoQuPnHihFg9Ry+7b64Lc1gPtC5MhOxAFymSiffL3rqwH374gRLohuTK PxDd7dq1w9uK7skd92cYhvEpdu/e7efnFxAQAE/DOOVLL70kyTNYmt0KfXEF +/fvt3ctWmw4Vx06dBBT8YcPH65MYKDCJk+eLN06KEOrKoKDg3faRxkShL71 DRgwwEK9yJCjrtpURYVWhV25coWWt+N3tdEt5s2bR5UAV3DZsmVKV5O+Xho7 3g7jqqkwcLzFxp26eye9/fbbkhys0jgQMa7tYBr6OYfdqyVLIxWmXS9mM6fC DB5uXl4ehbPQXadw48YNGlIRC4icUGG+YwyzZ8+mexoM4HoGl6swq5WM95f2 W5fkKWe1atWiy+vUqaN6ncWGgBALBm2RyQ34unTpIskhO7RL2ARmVNj169dp DjYwGH6y2opqcce7T5jvlQR//fUXbS8IkWXvw9HixYslefhPuzAZkHIRb4eI kai7NrNz586ST8ZINFMPFCOxUaNG2lNimZi9GInUymkXSLoKvCyvvvqq5Irg MAzDMAWC8+fPR0VFwUMz2O0UbSMaXrSNzzzzjOoU+mLqrcR6eQMOHDggwh4q P0gaqDCaPlG7dm1xhKLPlSpVyuROJbTEKSgoyKCAupDbjAwYpNGNkSg+kmun 9JDz//DDD2t9LQPHW/iWVhdEGzjeIjqBcnKOAM9CVe35JDY2FlJaFZtCi1VL oyiXVapU0d6K9mW2p8LMPNxWrVohjXYHMZsc94BqTwTucEKF+Y4xwN2le372 2WeW7mmT5erWrVs3bdpkIB/M43IVZrWS4XXDzCpUqIBHeccdd0AL4A6TJ0/W 5icnJ4ci+SvXEznEXhQO+twkGc5gNKPCRKxO3dVqAqutaH4w+e4rMdMrCdCV UMRLpE9KSrKXjLYgBLppaLjz448/FkcojGrfvn1VKU+dOkXP/ZNPPrH3W8eO HYPkN9njuOoNMlkPYrsEVSws8MILL0iG+4XRBwrz0/st1YNNnoNRrFgx9E1m Eru25WEYhvEWp0+fRtP3yy+/2EsgYhGotislKF6cav+RdevW6c5uEovilbci FSYCnQnQlVDiIUOGiIMi6PfAgQPNlE64N2+88Yb27HEZ3Qtxf0mO3GgwTcte pHraUAbunHLbHXRttJhIFTrYpohmput4p6en6/6KQwwc77Nnz5YpU0aSty5S 9bmi2gcNGmTp5+yxaNEiVAX8Q4eB4KxaGn3XhfWKBR0E1ARNMbKnwsw8XDFP D7JadYo+DqBQYkDKqgrzKWOAGdPZ8uXLa2fQ4an99ttvuvdEKWjym+RI0prE tSrMiUpu0KCBZOfThBYySH9/f+OJu4LRo0c3b96cdoVQghqmFqNmzZoGlztU YVOnTqUEqskGWqy2ok5j/t1X4bBXIqCtaBe/SpUqGa+qQwboGyCqWnVqzZo1 WoE2d+5cEqqqAWISsJDn9sI9icYHGXO4rs1Vb5D5ekCLRLOpVV+6MjIyaD2g wQdVClk8ZswYM1myVA9ERESEyQD4Lm95GIZhvIhxTGCKLgWnRfejlpjbRiuX bTdXFdWvX1/1HQzdlthFS7kxk9gvrE2bNvSBDj3mTz/9RN0KxIJqrT2NgIDI yEjltBm4N9Brqk4EGWjcuDGlHzBggJhrgX4BLh8K9cADD+jOUaFeWJIn0ghf GndTeqT2VBhKQQM3HTp0UB6nb5XIjyg+nI1x48ZRYnuOt+g34aQpP2DCPdCd +S8wcLxtisgnXbp0Id8b1Q4zoGpHj+xwSYsZFi9ejNLBLTTjhlm1tOXLl9OR zp07U0cPWYT6lG5iT4WZfLgUvx35gTNJWvXcuXM0DVK6dRDEibEwnzIGFJB+ tFq1anhtKdt4L+DdUXTHVatWaa8SqplQhUM3CR7c4ZsI5bt3715xUCgyJ8bC rFYyOaJoKJSx7u2BBoei8VStWjU2NlZY+NWrV9EGtmjRQlkhaNDoFykuOqou Ozsbl6Smpvbv319Yo8HPGauwr7/+ms6izUFLm6WHMr2lVtQ5LL37WhxGql+7 di19SqpYsSIefXp6+uFbUXUc69atoyKjgKI28MrTqGjTpk2V32TwdCg+D0yI lkGhBYiJiaEZqqNGjbKXK+WaO+Xgmi4ueYOs1sO7775LP4enTEVGt0hjf6VL l1bt5ikQS2VNRlK1VA+E+Uj1Lqk3hmEYH8Ggv0PXU6VKFTR0jz/+uG6CtLQ0 agnHjx9PR9BVUf8lyUu6goOD4Z3Cl6OPz5ImfK5QYQS6EvKFJHm4QbvdDLoD mi0myeMgtWrVCg8Pp0xKss+siuwHp53C7hFwmcg3I+Aew7XWlgs+udgTFvkJ DQ2FL0dOF+1xabOvwmw3Y+yDuLg4cZDWW1Fnh15PBEkODAykj/C6jrft5o5F VCF169Zt2LAhCQTlKKEWY8cbT7ZPnz6iHpAZEcTgtttuU2bbaWh+19ChQ824 YU5YGi4RW7PBEmgNoCR73eSf21NhZh6uTR4yoKlKZFewZPq6K8mCSykVnVBh PmUMNnlFnli56efnV79+fXLtqOwLFy7UXpKRkaEMOai7iMYhFK/PADiZlNIJ FWa1kkeOHCl+t3LlynVkUMn3339/79698ZqrRkCgXslsJHl8BMnwOESdTJ48 WZkY2p9GE8TjEwESJXnlmjainRIDFbZnzx4a9TOgZMmSykustqJWsfTu62Ks wlJSUhwWWRtQfezYsXQKtt1Qhmy+bNmy2jFKGJ7os/A6iOYFr7nBjvZi1r1k OGuRyP8b5EQ94MmKxYMoOCqBmjXcB/Zs74dSU1PpEpNRVizVA2Fehbmk5WEY hvERDPo7EbNXbI2kpVGjRtKtkXvhq8ADgdujigsNd1cb5JZUGJyxTz/9VPR0 krxflb0F2ujZv/zyS1pSLUCHAi9XN8JAVlYWXDUh7iTZ8YBz9dVXXxlUy4kT J2imkPIqOFo7d+6kBAYq7L///qPwDvDilNmeNGmS0hOD84OMXb58mTbJMojl CDUqXAICUtfgk6zNhONtkz+h01IsAo5Tp06dXBUC66effnrxxRdNBihwztKO HDnSokULkX9IeIgRmN+qVaskOYq4vVs5fLgE/HlYptLPgYnCH1YVipZUKIc+ cQn8XjHMSiv6latjfNAYtmzZAldcjBNJsrKAKDbYtRmvc7NmzSgx3l+Dm9uD VvAZIHa+hutFR4QKI5El1kCJ8ALi27jVSt63bx+t+rEHLEQ1UHv8+PHHHntM qafg06Lp++abb7SD7MeOHXvqqaeEGCRgtB988IGxBLMZqjARs8UAlQqzWW9F LWHp3dfFWIWpRkN00d3WasWKFRTCQjwsvOD2QpGgNUBrI7694KUbNGiQ8S6Q CxYsgOSXZKWv+31PRT7fIOfqAZaJ5kLZIdarV894QZaYqa47LK7Faj3YLO7a nP+Wh2EYxkdwOPfDaa5du3bw4MFff/0VPra9aQOkwnr37m2THYP9+/ejB7c3 L0JFZmYmlBq8MoN9WpWcOnVq06ZN27dvN7+JM3w/+IG4avfu3QafQM0DSYjO PSEhweqUP1RmSkoKZSYtLS0/Ho6KkydPwgNHtbhqgzAPAycKLsSePXusfng3 +XDhISMBLM3eKkKn8UFjgMpITk7GbSHGzdTn6dOnSbjhtXVVHlyLyUqGBCtX rhxcx7lz50Ld79ixY7vMunXr4OaJGVa6n4bg1qampsbHx8MIzbxE8Es3btyI htFePDpPYrUV9Qzu65Vs8jxYlHfr1q2qiZq6nD9/HmIHT1Z37roWtCrmw2Pa vPcGUW8LO7S0L5t5rNaDJRVmKwgtD8MwjBn8/f1dMgPNOQxiJDIM4+PQIjuD FSUFhREjRqAgzz//vO5ZEdHC3p62jGvxbq/kSQrNG5RPwsPDo6KizKfnemMY pnDQpEmTiIgIb/06qzCGKaAcPXqUprRZ+ojtm/Tq1Uuyv7xObOhscnoVk0+8 2yt5jML0BuWH5ORkVMLs2bNNpud6Yxim0BAbGyvJi7ZGjhxpdTfY/MMqjGEK IjExMbSQMywszE2TmjyJiB03fPjwHTt2XLp06caNG//888+KFSu6du1Kp5DG 29ksKni3V/IMhewNcg68X2PGjKlUqVJISIjD1ZEE1xvDMIWMlJSUsWPHtmjR QqyF9xiswhimwJGXlxcYGOjn5zdlypTCsXEqShEREaEMayCCRkpyyET4ft7O Y9HCi72SByh8b5BzvPzyy927d4+Ojja5NpbrjWEYxoVs3rw5Li5u79693s4I wzAWiI+PP3DggLdz4WLS0tJmzZrVo0ePZjJ9+/YdPXr04sWLTX6lZxjzFMo3 yANwvTEMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMw+SH Tz75JEzD/v37vZ0vhmEYhmEYhmGYAsOhQ4dib2XFihXbt2//77//tIlfeeUV ScOOHTs8n22Qmpqqm/MzZ854JT+MeW7cuAHDO336tLczYoqzZ8+mpKRkZ2eb v+TixYvJycmXL192mLJgVYVbKVhVYdUqzp07t3///uvXr7s1VwzDMAzDFBTe eustrbACxYoV69q168aNG5WJjx07tuUmn332mftU2MyZM2fMmJGTk2OQZsyY Mbo5L1myZGRk5MGDB12eq6LGhQsXFi1aNGnSpAMHDrgqPbRzly5dypUrRw+r Tp0648aN803XFFkdOnRo/fr18S7QGxESErJw4cK8vDx7l+Tm5qI4devWpUuK Fy8eGhr6+uuv6/rqbq2K2NjY5cuXZ2ZmuuRu+YGtYtq0aTADSl+mTJn27dtr 28zVq1fXcERQUFA+M2/VKtyaHs93+vTp026yfv16k7/CMAzDMIUDUmElSpR4 RKZnz54tWrS4++67yR0qXbp0YmKi7oUQYm5SYdeuXSOPJS0tzSAZqTCkFDl/ 4IEHypYtS7mqXr36yZMnXZuxIgW8zfLly6Mm4UAmJSW5JD1sidKA22+/HXqZ /t+tW7dLly65ugT5YsmSJQEBAeItEAIBPPvss7qXHDp06N577xXJcJX4P2TF P//8o0zs7qqYOHFi48aNIQMjIyO9KGeKuFVcuXLl6aefpgR4FnfccYco5sqV K5Up4+LidL8pKcFV+cy/Vatwa/qrV6927969m0yFChVeeOEFs8VgGIZhmEIB qTBV/44OdOnSpf7+/jgVGBioe6H7VNi///5LdzajwipXrqw8mJ2d/e6779Ll Q4cOdW3GihSoPaha3YmpzqXPycmpWLEinkuVKlW2bt2al5eXlZU1ZcoUelhj x451UcZdALJHuQoPD1+zZg1NLDx8+HDHjh3peEJCguoSvDL169cnZzs6Ojo9 PR0HobxmzZoFv71///7KsRKPVcWCBQtww2+//dZVN7RKEbeK999/n0699NJL 58+fx5GUlJS6deviyG233aace4m7bbDDBx98QDeZM2eOSwpi1SrcnR488sgj rMIYhmGYooauCiNmzpxJvb/uoJJVFQbnavv27XBabty4YZzyjz/+cFqFET16 9MCpRo0a2bs2MzNz7969cKsyMjLMZN4mj9ChpMi/w2+8p06dQuUcP37cYJKS kosXLyYlJaGwJtN7BpgEvCkXpv/8888leb6oarIoLTYsV64c6sHJvLqB6dOn R0VFXb16VXnwwoULEAvI7fPPP69KT6UD8fHxqlNwtlX38VhV4F0LDg4eN26c S+7mBEXZKtBQBAYG4vhTTz2lPI7mlIbsJ0+e7PAXs7OzGzRogMSRkZEuKYLN ulW4O72NVRjDMAxTJDFQYb/99hs5lmvXrtWeNa/CVq5cCUeiePHilL5MmTL9 +vVTTdCyydIJfXf16tXFPJ+AgIBytxIXFyfSG6iw1157jVw71fFz58699957 TZs2pRmPRNWqVRctWqRKuWvXrjvvvLNx48b4P8Rj7969xVxHf3//GTNm6GrJ b7/9NigoSNwZKZWZb926tSp9bGxsvXr1RGZQMxEREeaHn9xKqVKl1qxZ48L0 YWFhKGOvXr1Ux//+++8SJUrgVExMjDMZ9SxPPvkkstqqVSvlwStXrsBudUun iyerwrv+bVG2iuXLl9N7jcZElX7EiBHUdjn8JPXcc88hZUhIiGvVqFWr8LX0 DMMwDFMIMFBhCQkJ5EXoLugwqcKGDh0qVEn58uXFYhmoEpW4gwSTHKGUSwYq jJyiatWqqYpz1113iVtBZAlhBSCslIlJgaJaIKxoZiY0HVxKkX727NmqHxUz IeGQw6vUFgcOp0icm5vbvXt3Ou7n59eoUaMaNWrQn3fffXdKSopBlZohLS0t n/PQXKvCrl+/Tk71999/rz1Lc7rsrbfyKTp16oSs9unTR3kQz4ueHQS7wzt4 uCp8WYUVbqugpjU0NFSbfvPmzWQwxmtX169fb96uLOFrqopVGMMwDFMEMVBh Q4YMkeTAHboR3syosK+++orShIeHHzp0yCaPGkBJ0Sr1KlWqKKNp/fvvv3/L 0LICgJ/4+1aUObGnwrZu3UpaDzJHefzgwYNQUrVq1Zo7d+7Ro0fpYGJiIo1e BQQEKAehxDgg5fO77767JrNs2TJang+ppbz5kSNHKKrAY489RpmEhzlq1Cgc qVSpkjb4toj5/7///U+EIEDOSbu1adPGXpWaBKKyWLFiKKnTd3CtCsOzo/LS uACeNXK4dOlSGguAp41TPXr0cDq3ngFP9rbbbkNW33vvPeXxFStWkE6n2aoZ GRk4MmfOHHjR2imvHq4KX1Zhhdsqhg0bJimG+RISEqZOnfrnn3/a5EmJDhtP 0Lp1a6Tp2bOny/Psa6qKVRjDMAxTBNFVYSdOnCAFAfr27at7oUMVduHCBRp7 Cg0NhfhSnhLfeLXra2xy0GY6a2ZdWJkyZdbJxMfHz5s3b/DgwTRiBQ2ybds2 1SVJSUmqNR3g559/pp+D+ycOChXWuHHjU6dOKdPTdEegVG3z588nP1ypK6Ha qlWrhuMqNYQao/mZkGCqzCDPNEHx119/NSi7GUaPHo1boU6cu9y1KgzlokqD 440/xTggRYqbMGGCdOtYoW/y+uuvI58oaWpqqvI4xU+oU6cOxDgUtHK+q7+/ /8SJE5X27+Gq8GUVVritolu3bjgOLYb///7771S0pk2b2uRPNNQCLF++3N5t N27cSJdo27H842uqilUYwzAMUwQR+4U1lKlXr55ynl5wcPC5c+d0L3SowqAj KIHudCOawxMSEqI9ZUmF6QL1p13qpQW+0NGjRzds2EBXTZs2TZwSKmzr1q2q q+BVagv+xhtv4Mg999yjStyuXTscf/HFF5UHKQQclK/uICNEq6Q349EJIKWh CD7//HOrF+bk5JQoUUIb883p9NDIVGlUZAgW+vPNN9/Enx9++KGkGV70NWDP 5DlHR0erTuH5UnFokBfv0QiZ2rVr03Eod5HYw1XRt2/fwYMHu+pulijiVtG8 eXMcpyAVc+bMoaKVLFmStkGk1a8G7+ZDDz2EBJ07d3ZHtq1ahbvTswpjGIZh iiD2dm2uVq3a9OnTDZaEO1RhH3/8MSVQjSURkyZNkuSw3lolYkmFwatpJiPW YUVERGRlZdm7CqcWL14MD6FRo0Z+fn7KIitHpoQK27lzp+oOu3btolPK4Soo TUmevfnvv/+Kg3C3KleujOOoCuUd4KJI8ijeAD1oAFEl3JwmKioKQuyLL76w dBXSlypV6syZM65KL0Y9aCEMidaAgIDk5GSbvM2Q5NujHunp6RR/AwpLNbBr uzl3V5JXO/7444/ieG5u7uOPP06GQbHrbR6vinfeeads2bIUJt3DFHGroLEw WteGNrBChQr4k7SJw7GwzMxMSuDEJxQzWLUKd6dnFcYwDMMUQUiFQY9svsm+ ffvMxONyqMLE0ifdszSFD/zxxx+qU5ZUmFgXdunSpapVq+JIUFAQfW3WEhcX d+edd9LN/f39w8PD+/fvP378eJpCZlKF7d27V6vCIL5oHKRTp060Cuzy5cuQ VKQT9+/fr7yDcm9fe4wYMcKg7HhA0eZA6SABUEBUuMENBXAs27RpA+dZFa4k n+nFCqA9e/bQkRMnTogFcRQIzmdXAP35558UcrxatWrHjh3TJqDBTchn1Zw0 m7xGjNzpJUuW0BEPVwVEULt27WD2eB9ddU+HsFXYbq4LEyE7IMlFMrElor3G 84cffqAEhw8fdkfmrVqFu9OzCmMYhmGKIAbROYxxqMLEjqW6e3K9/fbbkrx6 S6v4hAo7cuSIQQa00Tm+/PJLunDSpEna9PPmzSO1BfG1bNky2nSVoA/a+VFh YNGiRXQclRkaGirk3kcffaS6A21nFhwcvNM+cEcNyo4q7WAayoZJd2j37t2Q 5AEBAYmJiS5ML6LhKRffCTp37iz5ajS8v/76q1atWiSytF8MiMWLF0vy4Kbu XnLkq+NFoz89XBU3btx49dVXJVeEfDEPW4XtZtOqu2uhWCZmL0YiKVBVlFcX YtUq3J2eVRjDMAxTBHFahQlHAnJMN4GIeqGcoyXo2bMnTtWuXVt7SiwoM16W rlVh6Prvu+8+Kg7cJFX6+++/H6cefvhhbYCO/Kuw7OxsiDtJ3jOoZs2apUqV CgoK6tOnj3ZZGRg/frwkL+f3wI60sbGxxYsXHzlypPlLzp8/HxUVBRWZm5vr wvRNmjSR9IK9nDp1isJLfvLJJ/auPXbsGISzyfyAvLw81PymTZu0z9oSqamp FEITpdPdr4HYvn07mYRuGloBpJyV6smqmD9/frFixfAymknsqnqzsVXYbMgb WcW+fftUp6A4JMP9who2bIgETzzxhMksudUqPJCeVRjDMAxTBHFahaWnpxsM PIGzZ8+WKVMGCaCMVM4GXBe6dtCgQQZ3njNnjkEGdCPVi414VA4MMkCxE1XR pAF0Fk0mzI8KW7JkCY5A6BlkWPDLL7/QHQYOHGgmvdMsWrSoRIkSzz33HPxP SxeePn0aThTy6cL0c+fOJe0ptgkgSJMGBARcuHBB98LPPvuMJvXdfffdZpaq 4Vk/+OCDVMPdunUzWQQt0Fb4RUnea0BMmdMF1Uvyv2PHjqpTIpaL0l33WFWA iIgIk6HOXVVvgiJuFdeuXbvnnnuQ8plnnlEez8jIoLWfEydOtHctbYeBJs5M ltxqFZ5JzyqMYRiGKYI4rcLgY9AuOSEhIbQX2MWLFxMSEpSRMWbNmkVuT5cu XShGB/xV+KXkxsAV0Q3cIbyXmjVrKj8jw09Trr+wt19Yv379tCoJ0Ofrxo0b iwAa8BLHjRtHc6LyqcKopKgQXIj8O6w9OGZ0k8jISOXkQ9TkkCFDDNwz8yxe vBhFGz58uFUJRrg2Ur1NHi4sX768JC/co9UucIxjYmJomuioUaPsXahcRqeK c6KLUOKEckMB86xdu5a+IVSsWBEPOj09/fCtUHB1wbp16+jn8PjEKwBjoGHW pk2bKq3CY1Vhs+LfuqTeVBRxqxA7ueONJgM4efIkDf+VLl1aGclHyaVLl+iq d955x0yu3GoVvpmeYRiGYQoBTqswmyL+hiQHaSc5ExsbKxLAoerTp49IU7t2 bbFaCoIlLi7O3p3hhlEy3LNu3boNGzaEIiMXV6Sxp8LgGlHww7CwMOU6HVqJ Rv4PHCERRTwwMLBBgwZS/lQYfpQG1Oj+uHkdGeS8bdu2UVFRqqmJcLRatWpF 6eFw1qpVKzw8vEqVKnQEt9INYm+epUuXouqGDh3qnASzuUGF2WQnVtRS/fr1 KWocaN26tXKfNRU0zEQYzE8TZGRkKKNf6q45MiYlJYVGTg3QhhAfO3YsnYKj Tvs+kJQoW7YsfabwfFXYrPi3+a83LUXcKvAW9+7dm07BDGASNGiF+xhspZGa mkqXmIyo41ar8M30DMMwDFMIEHtXOXEtpAT8fKUTUqlSJW1o5a+//po2Lyag Djp16uQw9te8efOEb0aUL19e+W3cngqzKTZW/uabb8RB6JFJkybRVB8C2ufN N9+8fPny6NGjpZu7FBEQTZSGgmYr0VVhuHlkZKSBewbvS0TJE5d8+eWXFLpB AFdt2LBhqtlZTvDTTz+9+OKL9ladmMEdKswmz/+EOiZfVJL15qBBg+zFtCQW LFgAYSvJetne7nUqYITNmjWjn/j000/NluEmqnETXXQ3clqxYgUFbRAPvW/f vvYCrXimKiz5t/msNy1sFdevX0erRVMQiXr16hkvmBITtletWmUmY+62Ch9M zzAMwzCMTZ7Xt2nTpnXr1h06dEg3Rhxx8uTJLVu2bN++3fwoz7Vr11JSUjZs 2ID7p6Wl5UdTCLKysuDyJSQk6E6GdJrBgwfDC2rZsuXBgwf37NmzXQZS7rvv vhs3bhz5VNCeutdmZmYmJiauX79eNZ3Ju7hJhRHnz5+HT4uKMjAYJRkZGXhq lgwAZkmDsxCk5q9yCWfOnMHTxNM32LdO4O6qsOrfurbe2CqIvLy8/fv3b9y4 0fwefJZwt1X4WnqGYRiGYRjwzz//0Gd83Zj8oG3btpJv7z+rxd/f32DKaP7T uxsK+2Cw+qaIEB4eHhUVZT69a+uNrcI3sWoV7k7PKoxhGIZhGCfYtWsXjXYd P35cezY9Pb1SpUqS6R27fIQmTZpERES4L71bOXr0KE31LOKuXXJyMiph9uzZ JtO7vN7YKnwQq1bh7vQ2VmEMwzAMwzjF1atXy5YtK8kLzb766quTJ09ev379 0qVLKSkpEydOpICQwcHBPjXh0CGxsbHIdmho6MiRI423z3YuvfuIiYmhCA9h YWFumgDm+6xYsWLMmDGQ/yEhIVeuXDFziTvqja3Cp7BqFW5Nn5eXt3r16lUy zZs3ZxXGMAzDMIwTbN68mTbn1VKsWLEuXboULAlGQEWOHTu2RYsWGzZscEd6 dwDXLjAw0M/Pb8qUKfnferjg8vLLL3fv3j06Otrk+kf31Rtbhe9g1Srcmj43 N7dmzZo1bjJhwgQzP8EwDMMwDKMiJycnISHhhRdeaNmyZVhYWIcOHYYMGTJ1 6tTU1FRvZ61oER8ff+DAAW/nouBRuOutcJeOYRiGYRiGYRiGYRiGYRiGYRiG YRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRimCPJ/U9Haow== "], {{0, 123.}, {577., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{577., 123.}, PlotRange->{{0, 577.}, {0, 123.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.8500304354531307`*^9, 3.8500304487602854`*^9}, { 3.8500305444281244`*^9, 3.8500305552849145`*^9}, 3.8500510212792635`*^9, 3.8500977014435005`*^9, 3.850110535248337*^9, 3.8501106326587267`*^9, 3.8501110824846344`*^9, 3.8502645023343916`*^9, 3.8530600034799085`*^9, 3.85306024243004*^9, 3.872481329874444*^9, 3.8726865873923483`*^9}, CellLabel->"Out[26]=", CellID->203728236,ExpressionUUID->"f26648f6-d829-4967-a589-4f1ada66ded5"] }, Open ]] }, Closed]] }, Closed]] }, WindowSize->Automatic, WindowMargins->Automatic, WindowTitle->"ShortInputForm | Example Notebook", Visible->False, TaggingRules->{ "Metadata" -> { "ResourceType" -> "Function", "Name" -> "ShortInputForm", "Property" -> "ExampleNotebook"}}, FrontEndVersion->"13.3 for Mac OS X x86 (64-bit) (July 24, 2023)", StyleDefinitions->Notebook[{ Cell[ StyleData[ StyleDefinitions -> FrontEnd`FileName[{"Wolfram"}, "Reference.nb", CharacterEncoding -> "UTF-8"]]], Cell[ StyleData[All, "Working"], Editable -> True, DockedCells -> {}], Cell[ StyleData["Notebook"], Editable -> True, DockedCells -> {}, ScrollingOptions -> {"VerticalScrollRange" -> Automatic}], Cell[ StyleData[ "Section", StyleDefinitions -> StyleData["PrimaryExamplesSection"]], Editable -> True, ShowGroupOpener -> "Inline", WholeCellGroupOpener -> True], Cell[ StyleData["Subsection", StyleDefinitions -> StyleData["ExampleSection"]], Editable -> True, ShowGroupOpener -> "Inline", WholeCellGroupOpener -> True], Cell[ StyleData[ "Subsubsection", StyleDefinitions -> StyleData["ExampleSubsection"]], Editable -> True, ShowGroupOpener -> "Inline", WholeCellGroupOpener -> True], Cell[ StyleData[ "Subsubsubsection", StyleDefinitions -> StyleData["ExampleSubsubsection"]], Editable -> True, ShowGroupOpener -> "Inline", WholeCellGroupOpener -> True], Cell[ StyleData["Text", StyleDefinitions -> StyleData["ExampleText"]], Editable -> True], Cell[ StyleData["CodeText", StyleDefinitions -> StyleData["ExampleText"]], Editable -> True, CellMargins -> {{48, 40}, {3, 15}}, FontColor -> GrayLevel[0.45]]}, Visible -> False, FrontEndVersion -> "13.3 for Mac OS X x86 (64-bit) (July 24, 2023)", StyleDefinitions -> "PrivateStylesheetFormatting.nb"], ExpressionUUID->"e7a91a92-924f-4260-bd1e-cf874c0f9d53" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[627, 23, 281, 8, 70, "Subsection",ExpressionUUID->"f5a0b295-bff0-4806-9a96-48657659c411", CellID->904125756], Cell[911, 33, 764, 21, 70, "Text",ExpressionUUID->"4bbff36e-3a8d-4b56-9340-eac6bf245cab", CellID->45562831], Cell[CellGroupData[{ Cell[1700, 58, 7632, 189, 70, "Input",ExpressionUUID->"369431ac-a01e-4585-b753-904efcae0ef4", CellID->635094125], Cell[9335, 249, 4999, 102, 70, "Output",ExpressionUUID->"42dc6971-f309-45ff-9c97-b692aed0f5c3", CellID->925209267] }, Open ]], Cell[CellGroupData[{ Cell[14371, 356, 260, 6, 70, "ExampleDelimiter",ExpressionUUID->"f23c3fd0-8bc6-48d5-a845-afe32f7a0ccf", CellID->14107562], Cell[14634, 364, 1470, 30, 70, "Text",ExpressionUUID->"d726a043-a9b5-4bcb-9ac8-ae69267fa3e9", CellID->846806185], Cell[CellGroupData[{ Cell[16129, 398, 8101, 203, 70, "Input",ExpressionUUID->"e1f043e6-e384-413b-8419-f5b9d01d860c", CellID->199658261], Cell[24233, 603, 57713, 1066, 70, "Output",ExpressionUUID->"d3e04ce9-481b-4769-996a-9df668646a0e", CellID->505900159] }, Open ]], Cell[81961, 1672, 766, 21, 70, "Text",ExpressionUUID->"3c289e72-c9ad-4ce4-8880-eaed379febe1", CellID->689086180], Cell[CellGroupData[{ Cell[82752, 1697, 15576, 266, 70, "Input",ExpressionUUID->"40b8a70a-b281-433d-89d4-57be887b75aa", CellID->299144105], Cell[98331, 1965, 14791, 245, 70, "Output",ExpressionUUID->"cfdf602d-44cd-43f3-b123-7e82d525b886", CellID->385674424] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[113183, 2217, 279, 8, 70, "Subsection",ExpressionUUID->"9f964cae-7b2c-4f04-9f42-b3bf9fe1a072", CellID->605265931], Cell[113465, 2227, 894, 14, 70, "Text",ExpressionUUID->"e750df9f-5d9b-4e58-83c2-ca132f923be1", CellID->240169912], Cell[CellGroupData[{ Cell[114384, 2245, 1609, 43, 70, "Input",ExpressionUUID->"61e645ed-08ff-44bd-93de-6be063e0e163", CellID->986226169], Cell[115996, 2290, 8881, 172, 70, "Output",ExpressionUUID->"e1a7390d-4d33-43cb-a8c4-54602938c21a", CellID->634781433] }, Open ]], Cell[CellGroupData[{ Cell[124914, 2467, 7718, 189, 70, "Input",ExpressionUUID->"01bf84bf-333a-4cd1-90b7-1f4dc74799e1", CellID->36506283], Cell[132635, 2658, 29670, 666, 70, "Output",ExpressionUUID->"5481cf72-311d-4185-925e-bf64678142b7", CellID->837530436] }, Open ]], Cell[CellGroupData[{ Cell[162342, 3329, 260, 6, 70, "ExampleDelimiter",ExpressionUUID->"17381cf7-e682-4dff-aa4a-bb5c9293c990", CellID->14107563], Cell[162605, 3337, 1394, 30, 70, "Text",ExpressionUUID->"9894dca0-878e-424a-b4ec-78e264ac7283", CellID->231347730], Cell[CellGroupData[{ Cell[164024, 3371, 8418, 207, 70, "Input",ExpressionUUID->"997bd4e5-ee6c-472b-91f6-e1a01119da0d", CellID->859130981], Cell[172445, 3580, 12259, 309, 70, "Output",ExpressionUUID->"82b22077-be13-4b59-a2c1-f49a1c4c850d", CellID->631960807] }, Open ]], Cell[CellGroupData[{ Cell[184741, 3894, 7899, 191, 70, "Input",ExpressionUUID->"b9e156f9-3bb1-42ad-b25c-b7ba87460612", CellID->688943432], Cell[192643, 4087, 10543, 273, 70, "Output",ExpressionUUID->"8e5235c8-2b2e-46f8-a6ee-455c9586b5a6", CellID->551860636] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[203247, 4367, 291, 8, 70, "Subsection",ExpressionUUID->"dc9411cb-81bd-4164-b827-cf2ee9f3d70d", CellID->232113220], Cell[203541, 4377, 2614, 54, 70, "Text",ExpressionUUID->"c4785503-e491-42a0-b9b5-4b988841cf0d", CellID->119830234], Cell[CellGroupData[{ Cell[206180, 4435, 519, 12, 70, "Input",ExpressionUUID->"7b055b4e-3d4d-4501-961b-30922a4c87da", CellID->492175757], Cell[206702, 4449, 632, 16, 70, "Output",ExpressionUUID->"3bb65dfc-38b3-4e67-99a0-7bf6a5aaf0c4", CellID->409721007] }, Open ]], Cell[CellGroupData[{ Cell[207371, 4470, 374, 7, 70, "Input",ExpressionUUID->"a1e21abf-770f-47bd-a19c-e5bbe420612b", CellID->17651577], Cell[207748, 4479, 1008, 21, 70, "Output",ExpressionUUID->"96ddd224-b7fd-4617-9e5c-4d5be8d5c5e4", CellID->18953259] }, Open ]], Cell[208771, 4503, 1510, 24, 70, "Text",ExpressionUUID->"0e8287ff-125a-47a7-89c7-c7ccf7bcb2e7", CellID->488787055], Cell[CellGroupData[{ Cell[210306, 4531, 7705, 189, 70, "Input",ExpressionUUID->"3f97c43a-90e5-4064-b2da-9bfc41f2e8dc", CellID->445322238], Cell[218014, 4722, 5597, 121, 70, "Output",ExpressionUUID->"46a068b5-b9d8-41c5-9656-771d05075a3c", CellID->145070453] }, Open ]], Cell[223626, 4846, 2435, 46, 70, "Text",ExpressionUUID->"830c96ff-7030-4671-a720-3caefbde5d82", CellID->204340224], Cell[CellGroupData[{ Cell[226086, 4896, 15610, 379, 70, "Input",ExpressionUUID->"85f2daf2-fb10-4b72-a5cb-618ddff66fb8", CellID->587350318], Cell[241699, 5277, 2030, 54, 70, "Output",ExpressionUUID->"549981a7-8df0-4902-85f9-3423f0d5e64d", CellID->60026461] }, Open ]], Cell[CellGroupData[{ Cell[243766, 5336, 12277, 290, 70, "Input",ExpressionUUID->"f125c424-ed75-4108-90e2-578e5859a729", CellID->563734207], Cell[256046, 5628, 1599, 43, 70, "Output",ExpressionUUID->"fce1c1cf-9721-4075-8868-b9023467774b", CellID->368026957] }, Open ]], Cell[257660, 5674, 1969, 37, 70, "Text",ExpressionUUID->"2d5f522a-1f7f-42f0-9091-c94dedd78021", CellID->35532880], Cell[CellGroupData[{ Cell[259654, 5715, 4969, 106, 70, "Input",ExpressionUUID->"bc7c31ee-476c-4875-b586-5d3f062e4a24", CellID->653670694], Cell[264626, 5823, 2139, 50, 70, "Output",ExpressionUUID->"63856d19-48dd-499b-9f0a-eb9a1755a6c2", CellID->754540578] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[266814, 5879, 282, 8, 70, "Subsection",ExpressionUUID->"ce26c9cc-34ac-48ee-a5b4-f1f560a17088", CellID->158766396], Cell[267099, 5889, 1396, 26, 70, "Text",ExpressionUUID->"b70dfe6a-b0b9-4693-b1d4-ef31d494e254", CellID->632754471], Cell[CellGroupData[{ Cell[268520, 5919, 1759, 43, 70, "Input",ExpressionUUID->"df0130aa-788f-4673-819b-c76d44908bdc", CellID->1652281], Cell[270282, 5964, 280, 7, 70, "Output",ExpressionUUID->"28c583dc-01cf-4dbd-bab4-bb7644fb533d", CellID->23069392] }, Open ]], Cell[CellGroupData[{ Cell[270599, 5976, 7952, 192, 70, "Input",ExpressionUUID->"3b9abb20-cbd7-4990-86ed-a3a3cc690bf7", CellID->442812000], Cell[278554, 6170, 212873, 3569, 70, "Output",ExpressionUUID->"324cb1fe-33db-41bb-8753-61cbc845148a", CellID->983408110] }, Open ]], Cell[491442, 9742, 1806, 41, 70, "Text",ExpressionUUID->"8c31d4a9-89db-4097-9b8a-e588f1c7250e", CellID->405355463], Cell[CellGroupData[{ Cell[493273, 9787, 7734, 190, 70, "Input",ExpressionUUID->"076ae1cc-1d6c-45a7-9ea4-aee9698a8e3e", CellID->752634079], Cell[501010, 9979, 211050, 3551, 70, "Output",ExpressionUUID->"8d87f61f-9179-4dca-a208-c0a34483a600", CellID->841190518] }, Open ]], Cell[712075, 13533, 1069, 19, 70, "Text",ExpressionUUID->"db523515-06e9-4be0-98cf-43c19dd9f8c5", CellID->433495954], Cell[CellGroupData[{ Cell[713169, 13556, 7643, 188, 70, "Input",ExpressionUUID->"fdbf9966-3a52-459b-84f9-0565b958b3b8", CellID->990825231], Cell[720815, 13746, 207744, 3497, 70, "Output",ExpressionUUID->"ced31ba2-431f-4939-a383-078e8f6ba696", CellID->77354879] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[928608, 17249, 280, 8, 70, "Subsection",ExpressionUUID->"7fb61b4f-42be-47ac-8ff9-0cf1a9b8c399", CellID->461278909], Cell[CellGroupData[{ Cell[928913, 17261, 358, 9, 70, "Subsubsection",ExpressionUUID->"755b7c51-438a-472a-97a6-036742c696c2", CellID->65276933], Cell[929274, 17272, 1561, 34, 70, "Text",ExpressionUUID->"75b9d50d-4821-429f-bc3b-417e19f60d57", CellID->216582179], Cell[CellGroupData[{ Cell[930860, 17310, 7789, 195, 70, "Input",ExpressionUUID->"5f397a55-f962-49c9-94da-6f0978f3e469", CellID->902451382], Cell[938652, 17507, 7572, 175, 70, "Output",ExpressionUUID->"a456db4a-85e4-4670-9a6d-d256d54ad269", CellID->155280456] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[946273, 17688, 351, 9, 70, "Subsubsection",ExpressionUUID->"c128b9b5-2115-4d6d-8a0c-fba108716ec6", CellID->43361967], Cell[946627, 17699, 1799, 34, 70, "Text",ExpressionUUID->"ac981ad6-5f6c-4eb1-a270-c99e6b5a3c1b", CellID->853967159], Cell[CellGroupData[{ Cell[948451, 17737, 1336, 31, 70, "Input",ExpressionUUID->"8f9668c1-ed86-44fc-9989-11acae287db8", CellID->775740019], Cell[949790, 17770, 13513, 242, 70, "Output",ExpressionUUID->"60a16d67-4b47-42aa-9619-766a9a8c90c2", CellID->896981776] }, Open ]], Cell[963318, 18015, 1369, 23, 70, "Text",ExpressionUUID->"04b35fc9-4361-44f3-8fce-5c226978f939", CellID->132168209], Cell[CellGroupData[{ Cell[964712, 18042, 8546, 209, 70, "Input",ExpressionUUID->"355de898-75d0-4639-82a5-8999229e49ea", CellID->325845558], Cell[973261, 18253, 8572, 175, 70, "Output",ExpressionUUID->"3d967426-ed61-4b92-8df8-5e65dd379fe4", CellID->971502808] }, Open ]], Cell[CellGroupData[{ Cell[981870, 18433, 8098, 194, 70, "Input",ExpressionUUID->"a886f303-a133-4b0d-a132-72a086a14433", CellID->589718332], Cell[989971, 18629, 55933, 921, 70, "Output",ExpressionUUID->"f26648f6-d829-4967-a589-4f1ada66ded5", CellID->203728236] }, Open ]] }, Closed]] }, Closed]] } ] *) (* End of internal cache information *)