(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 12.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 548457, 10065] NotebookOptionsPosition[ 461944, 8352] NotebookOutlinePosition[ 537409, 9829] CellTagsIndexPosition[ 536725, 9806] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell["DatasetForm", "Title", CellTags->"Title"], Cell["Display data formatted like a dataset", "Text", CellTags->"Description"], Cell[CellGroupData[{ Cell[TextData[{ "Definition", Cell[BoxData[ TemplateBox[{"Definition",Cell[ BoxData[ FrameBox[ Cell[ "Define your function using the name you gave in the Title line above. \ You can add input cells and extra code to define additional input cases or \ prerequisites. All definitions, including dependencies, will be included in \ the generated resource function.\n\nThis section should be evaluated before \ creating the Examples section below.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoDefinition"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Section", Deletable->False, DefaultNewCellStyle->"Input", CellTags->"Definition", CellID->474513213], Cell[BoxData[ RowBox[{ RowBox[{"Clear", "[", RowBox[{"DatasetForm", ",", "getDatasetBoxes", ",", "datasetformed"}], "]"}], ";"}]], "Input", CellChangeTimes->{{3.765276229769841*^9, 3.7652763099703608`*^9}, { 3.765276340099276*^9, 3.765276389650384*^9}, {3.76527661295852*^9, 3.76527661351851*^9}, {3.7652766617641687`*^9, 3.7652767227952433`*^9}, { 3.765276757215952*^9, 3.765276898918335*^9}, 3.765276979662562*^9, { 3.765277147665124*^9, 3.765277147873642*^9}, {3.765278614628172*^9, 3.7652786398939133`*^9}, {3.76527876839618*^9, 3.765278768686*^9}}, CellLabel->"In[3]:=", CellID->1900798340], Cell[BoxData[ RowBox[{ RowBox[{"DatasetForm", "[", "expr_", "]"}], ":=", RowBox[{ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", "}"}], ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"ds", "=", RowBox[{"Dataset", "[", "expr", "]"}]}], ",", " ", RowBox[{"dummy", "=", RowBox[{"Unique", "[", "]"}]}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"boxes", "=", RowBox[{"getDatasetBoxes", "[", RowBox[{ RowBox[{"MakeBoxes", "@", "ds"}], ",", "expr"}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"datasetformed", "[", "expr", "]"}], "=", "True"}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"MakeBoxes", "[", RowBox[{ RowBox[{"DatasetForm", "[", "expr", "]"}], ",", "_"}], "]"}], ":=", RowBox[{"InterpretationBox", "[", RowBox[{"boxes", ",", "expr"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"DatasetForm", "[", "expr", "]"}]}]}], "\[IndentingNewLine]", "]"}]}], "]"}]}], "\[IndentingNewLine]", "]"}], "/;", RowBox[{ RowBox[{"datasetformed", "[", "expr", "]"}], "===", "False"}]}]}]], "Input", CellChangeTimes->{{3.765276229769841*^9, 3.7652763099703608`*^9}, { 3.765276340099276*^9, 3.765276389650384*^9}, {3.76527661295852*^9, 3.76527661351851*^9}, {3.7652766617641687`*^9, 3.7652767227952433`*^9}, { 3.765276757215952*^9, 3.765276898918335*^9}, 3.765276979662562*^9, { 3.765277147665124*^9, 3.765277147873642*^9}, {3.765278614628172*^9, 3.7652786398939133`*^9}, {3.765278713611066*^9, 3.765278718221374*^9}, { 3.7652787517969303`*^9, 3.76527878622991*^9}, 3.765278847495269*^9}, CellLabel->"In[4]:=", CellID->1034772735], Cell[BoxData[ RowBox[{ RowBox[{"datasetformed", "[", "_", "]"}], ":=", "False"}]], "Input", CellChangeTimes->{{3.7652787710369387`*^9, 3.76527877328832*^9}}, CellLabel->"In[5]:=", CellID->1667274464], Cell[BoxData[ RowBox[{ RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", "DatasetForm", "]"}]], "Input", CellChangeTimes->{{3.765278813005385*^9, 3.765278824918935*^9}}, CellLabel->"In[6]:=", CellID->1734808447], Cell[BoxData[ RowBox[{ RowBox[{"getDatasetBoxes", "[", RowBox[{"boxes_", ",", "_"}], "]"}], ":=", RowBox[{ RowBox[{"First", "[", RowBox[{"Cases", "[", RowBox[{"boxes", ",", RowBox[{ RowBox[{"HoldPattern", "[", "b_DynamicModuleBox", "]"}], " ", "\[RuleDelayed]", " ", "b"}], ",", RowBox[{"{", RowBox[{"2", ",", "Infinity"}], "}"}]}], "]"}], "]"}], "/;", RowBox[{"!", RowBox[{"FreeQ", "[", RowBox[{"boxes", ",", "DynamicModuleBox"}], "]"}]}]}]}]], "Input", CellChangeTimes->{{3.765276903849483*^9, 3.765277075077223*^9}, { 3.7652772042505074`*^9, 3.7652772045454607`*^9}}, CellLabel->"In[7]:=", CellID->750967608], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"getDatasetBoxes", "[", RowBox[{"boxes_", ",", "_"}], "]"}], ":=", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"grs", "=", RowBox[{"Cases", "[", RowBox[{"boxes", ",", RowBox[{ RowBox[{"HoldPattern", "[", RowBox[{"TagBox", "[", RowBox[{"b_", ",", "\"\\""}], "]"}], "]"}], "\[RuleDelayed]", "b"}], ",", RowBox[{"{", RowBox[{"2", ",", "Infinity"}], "}"}]}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{ RowBox[{"Length", "[", "grs", "]"}], "===", "1"}], ",", "\[IndentingNewLine]", RowBox[{"First", "[", "boxes", "]"}], ",", "\[IndentingNewLine]", "$Failed"}], "]"}]}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]"}]], "Input", CellChangeTimes->{{3.7652770846017933`*^9, 3.765277126497137*^9}, { 3.765277206446211*^9, 3.765277213964581*^9}}, CellLabel->"In[8]:=", CellID->751194237] }, Open ]], Cell["Documentation", "Section", Deletable->False, CellTags->"Documentation", CellID->855965831], Cell[CellGroupData[{ Cell[TextData[{ "Usage", Cell[BoxData[ TemplateBox[{"Usage",Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Document input usage cases by first typing an input structure, then \ pressing ", Cell[ BoxData[ StyleBox[ DynamicBox[ ToBoxes[ If[$OperatingSystem === "MacOSX", "\[ReturnKey]", "\[EnterKey]"], StandardForm], SingleEvaluation -> True, Evaluator -> "System"], ShowStringCharacters -> False]]], " to add a brief explanation of the function\[CloseCurlyQuote]s \ behavior for that structure. Pressing ", Cell[ BoxData[ StyleBox[ DynamicBox[ ToBoxes[ If[$OperatingSystem === "MacOSX", "\[ReturnKey]", "\[EnterKey]"], StandardForm], SingleEvaluation -> True, Evaluator -> "System"], ShowStringCharacters -> False]]], " repeatedly will create new cases as needed. Every input usage \ case defined above should be demonstrated explicitly here.\n\nSee existing \ documentation pages for examples."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoUsage"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"UsageInputs", CellTags->"Usage", CellID->310800389], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DatasetForm", "[", StyleBox["data", "TI"], "]"}]], "UsageInputs"], Cell[TextData[{ "gives ", Cell[BoxData[ StyleBox["data", "TI"]], "InlineFormula", FontFamily->"Source Sans Pro"], " formatted like a ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Dataset", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Dataset"], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", but still interpreted as ", Cell[BoxData[ StyleBox["data", "TI"]], "InlineFormula", FontFamily->"Source Sans Pro"], "." }], "UsageDescription"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Details & Options", Cell[BoxData[ TemplateBox[{"Details & Options",Cell[ BoxData[ FrameBox[ Cell[ "Give a detailed explanation of how the function is used and \ configured (e.g. acceptable input types, result formats, options \ specifications, background information). This section may include multiple \ cells, bullet lists, tables, hyperlinks and additional styles/structures as \ needed.\n\nAdd any other information that may be relevant, such as when the \ function was first discovered or how and why it is used within a given field. \ Include all relevant background or contextual information related to the \ function, its development, and its usage.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoDetailsOptions"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"Notes", CellTags->"Details & Options", CellID->66019318], Cell[TextData[{ Cell[BoxData["DatasetForm"], "InlineFormula", FontFamily->"Source Sans Pro"], " only changes the formatting of the output. It does not change the \ computable nature of the data or optimize it for queries like ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Dataset", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Dataset"], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], "." }], "Notes", CellTags->"TabNext", CellID->521904482], Cell[TextData[{ "Unlike ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Dataset", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Dataset"], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", the output of ", Cell[BoxData["DatasetForm"], "InlineFormula", FontFamily->"Source Sans Pro"], " can be copied and reused." }], "Notes", CellID->1013712111], Cell[TextData[{ Cell[BoxData["DatasetForm"], "InlineFormula", FontFamily->"Source Sans Pro"], " accepts any data structure supported by ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Dataset", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Dataset"], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", including a ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Dataset", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Dataset"], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], "." }], "Notes", CellID->916737631] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Examples", Cell[BoxData[ TemplateBox[{"Examples",Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Demonstrate the function\[CloseCurlyQuote]s usage, starting with \ the most basic use case and describing each example in a preceding text cell.\ \n\nWithin a group, individual examples can be delimited by inserting page \ breaks between them (either using ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"[Right-click]\"", FontFamily -> "Source Sans Pro Semibold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False], StyleBox[ "\" \[FilledRightTriangle] \"", FontFamily -> "Source Sans Pro", FontSize -> 13.86, FontColor -> GrayLevel[0.5], StripOnInput -> False], StyleBox[ "\"Insert Page Break\"", FontFamily -> "Source Sans Pro Semibold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], " between cells or through the menu using ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"Insert\"", FontFamily -> "Source Sans Pro Semibold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False], StyleBox[ "\" \[FilledRightTriangle] \"", FontFamily -> "Source Sans Pro", FontSize -> 13.86, FontColor -> GrayLevel[0.5], StripOnInput -> False], StyleBox[ "\"Page Break\"", FontFamily -> "Source Sans Pro Semibold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], ").\n\nExamples should be grouped into Subsection and Subsubsection \ cells similarly to existing documentation pages. Here are some typical \ Subsection names and the types of examples they normally contain:\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Basic Examples: \"", FontFamily -> "Source Sans Pro Semibold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "most basic function usage\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Scope: \"", FontFamily -> "Source Sans Pro Semibold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "input and display conventions, standard computational attributes \ (e.g. threading over lists)\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Options: \"", FontFamily -> "Source Sans Pro Semibold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "available options and parameters for the function\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Applications: \"", FontFamily -> "Source Sans Pro Semibold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "standard industry or academic applications\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Properties and Relations: \"", FontFamily -> "Source Sans Pro Semibold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "how the function relates to other functions\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Possible Issues: \"", FontFamily -> "Source Sans Pro Semibold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "limitations or unexpected behavior a user might experience\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Neat Examples: \"", FontFamily -> "Source Sans Pro Semibold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "particularly interesting, unconventional, or otherwise unique \ usage"}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoExamples"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Section", Deletable->False, CellTags->"Examples", CellID->180595041], Cell[CellGroupData[{ Cell["Basic Examples", "Subsection", CellID->462042388], Cell["Output rows of data as a dataset:", "Text", CellChangeTimes->{{3.765277249468926*^9, 3.765277261652993*^9}}, CellID->13078159], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DatasetForm", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomInteger", "[", "1000", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomReal", "[", "]"}]}]}], "|>"}], ",", RowBox[{"{", "3", "}"}]}], "]"}], "]"}]], "Input", CellChangeTimes->{ 3.765277246921814*^9, {3.765277297999206*^9, 3.765277315534424*^9}, 3.7652773625684423`*^9}, CellLabel->"In[10]:=", CellID->443871870], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnQucDtX/x5+SHyoRFaGLlMidcs2lTSmFRKVUItdcdq1cUi5Ltet+KbLJ WnJbt7JRUSTXxdp25ZJa7bJuS4QthfT8P//n+3Je08zzzJyZZw6P3e/79arX OvOdM99z5jPnfM+Z5zXfsp3Cn+16rcfj6VcQ/3u248BHIiM7vtWmKP7xXJ9+ Pbr16dL5yT5vdunWJbJup3woPIr/tuG////byzAMc9Wyl2EY5irnzFVO7mhF LoMFxiiFBcYohQXGKIUFxiiFBcYohQXGKIUFxiiFBcYohQXGKIUFxiiFBcYo hQXGKIUFxiiFBcYohQXGKIUFxiiFBcYohQXGKIUFxiiFBcYohQXGKEVSYDi6 xMfy5ctPnz6tO7pjxw46mpSUpNJZC8xbsWfPHnJy9+7dxqPZ2dmh0ITch6TA Dh482K9fv64+li1bpj2UlZXVt29flHfv3v2HH35Q7K8Z5q1IS0sj/8eNG2c8 umLFCjqKP1T6mOeQnyJTU1MhIRIShiwqPHXqVExMTIjcGstWDBs2jFzNyMjQ lmNMfvvtt1Heq1evY8eOKXYzb2ErBktMTKQb1L9//6NHj6Jk4cKFVBIbG6ve WQssW7Fq1Srydu7cudry5ORkKo+Pj1fsY57DbpD/wQcf0L2YMGHCtm3bunXr hr9HjBhx4sQJ1a5aYtmK48eP9+nTBw5HRERoHZ40aRI1Kj09Xb2beQu7AsMM Mnjw4K4aEIDt379ftZ8yyLRi9uzZ5Pbq1aupBM7TYzJmzBj1PuY5HGxTwLJn z550m3BrUlJSlHooj0wr9u3bR56PHDmSShYsWEAlmzdvVu9jnsOBwBDYR0VF 0U3BjHP48GGlHsoj2YqxY8eS87t37z558mRkZCT+HjRoENp1GZzMazgQ2KJF i7RT5OjRo0Pk1ki2AiMVeT59+vS1a9fS31i/qHcwL2JXYElJSXRHhvugvzHL qPZTBslW4HEYOHAg3MZET7sT+CM7O/syeJgHsSWwjIyM8PBwmhnxd2ZmJi3K QiSAkX9MPv/8c+0gHBcXp9q3PIu8wLCuFxuV69evp8INGzaIYEy3e3n5kRcY 4sYePXoIgcmHB4xd5AUWGxvrdzcS/xST5pXdDbMVSYrmjBo1SqlXeRxJgW3a tEmoCCsv7SHtyHZlgzFbAps3bx75vHHjRqVe5XEcrCJDFvlW4KGIiIiAugYM GBAiS+DcSt4UmHgpiWhftVd5nDwoMPHbiTfeeOPIkSOXwbG8TB4U2JYtW8RG 62XwKo+TBwW2aNGioT5++umny+BVHicPCoy5nLDAGKWwwBilsMAYpbDAGKWw wBilsMAYpbDAGKXsZRiGyRVc6dT0wZI7WpHLYIExSmGBMUphgTFKYYExSmGB MUphgTFKYYExSmGBMUphgTFKYYExSmGBMUphgTFKYYExSglNgZ0+ffrEiRN2 z3LQipycHLtXMXL27Nnz588HX0/woN+OHj2qouZ//vnnt99++/fff+2eKC+w DRs2PGbFK6+84sAYwPNvv/32jTfeqFmz5s033+zxccMNNzzyyCOLFy++ePGi fFtkLFevXv3cc8/dfffduEqxYsWaNWs2efJkmRO1ZGRktG/f/t57773mmmvy 589fqVKlPn36/P777zozu10Bhg8fbmL8+OOPnzlzRmu/e/duNOe2226jfrv+ +utr1ao1Z84c835Dn6O22rVrb9261a8BnvFPPvmkefPmZcuWve6661AzmolO 69+///79+yV7SV5gCxcu9Fhxxx13ODAGO3bsMLHs0aOHfFsszWbNmoWOMl6l c+fOeE5lLgTi4uKgf2MlJUqU2Lx5s+N+I1q0aGFuf/z4cWEcGxubL18+KofU xd8AD45Ji4RjX3/9tV+DZ599NpADxYsX37Vrl0xHyQssJSWla2BKliyp7Shb xt5LAkPntG7devTo0cuXL1+xYsWAAQPwMFKLFi1aJNkWc5tt27ZRhXjex4wZ s27duhkzZtSpU4cK3333XcurADzy9EQXLVoUQ19ycjLqgT5xf1FYsWJF7Yxp tyu8lwRWuHDhQGf9+eefZIlLk6LKly+Phhw+fBizJJQTFhZGLRo6dKjO+YSE hJiYGFxCSNFcYBiy3nzzzZkzZ2KKwf/r1atHZ2HElukrV2Kw7OzsG2+8EReF 286MMzMzu3fv/ssvv+iMly1bRs3B7GlZs0wrunXrhtr+97//YeYShSdPnsRM h3LMBTJhRo0aNTy++QJzk7YcUxt5+/7771tW4g3cbySwChUqWNaAbqEr7tmz R1v+119/oS0or1q1qu6UO++8UzccBRJYdHT07NmzL1y4oC3EsyOeR/hv6aEr AqNmXnvttWlpae4anzt3jtrSsmVLS2PLVuDBv+mmm1Bbq1atdIemTJlCF0J4 Zn4VRFk0UnXs2FF36O+//6bbWrp0aUtvvYG7Ql5giMdo5MdCQ3fo6aefxqFC hQrpyseOHTvYx4svvmgusEDgXDoRg7OlcfACw4k0XyDiddcYJCUlBRrq/VZu 3gpR27hx43SHMBbRIYxC5leBAsly4sSJxqOdOnWio5ZhsElXyAvsnXfeocvF x8frDtGYjBA90Llr1651JrAnnngCZxUoUADjpKVx8AKjmRrzxa+//uqiMRbF iLtoQEC8hH9aVm7ZCjHhIpwwHsW86ZFYUKxZs4YqQQhnPDpy5Eg6umnTJvN6 TLqCBHbPPfccOXIEa9VDhw4FitURDdLlMIjh0hhCqTwxMZHKp0+fHsgBuwLD mnT79u1YKdNZuJzMWUEKDN1Il+vVq5dbxgjyq1evTtMQwFL6xx9/lHHGshUf f/wx1el3YV6sWDEcwn03vwqmSKqkbdu2xqNY19PRL7/80qQS864wriKhw7p1 686ZM8e44fbhhx+KRTGeRKyMpk6dSg8LwlqTDTp5gWHt0LRpU+ofULBgQahL ck8sSIE1aNDA49uwktnfkzQWsYHHt7xCB0puY1q2QgwvuuCcoOi3fv36lhei 2QdATtrynJyc3r170yHzWM68K0y2KRA9Gne3MOMbLaEu81bICwy9qq35+eef l4mfxbmOBfbZZ5/RFREJuGi8dOnSt99+G8u9ypUr0yn449SpU5aXsGzFkCFD qMKff/7ZeJSmYxmBYYal8AlgYAkPD4+IiMAypHDhwuIu/PTTT4FOt+yKBQsW xMXFrVu3bufOnRi9cbm+ffvS8gS89dZbWuNp06bReNW/f/+ePXsWL16czLB2 GDRoEFZJgdyQFxhW2YiBIyMj27RpQxtHmJFxXfOzCMcCw+oVUajHt+d2+vRp F421fPTRR9QJxiWbEctWfPDBB1Rbamqq8eitt96KQ0899ZSMYwiqaYdBC7qd ZivM74ECYMddAZ/pihg/RSGWhHTp2NhYKkEYBt8w8lM5lpmBKnQW5CMYrlSp kse31eP3OdXhWGAQMLlnXJEFaayjZs2aOLFUqVKWlpatEHvXGzduNB7Fih6H sAyUdOzEiRNoTpcuXTBtde7cOSYmZt++fRS6lyxZMtBZwXRFu3bt6Fx6IQWt 0ms1jL06S4w5JAOg3fHT4ngVKVYQiGktjZ0J7I8//hBb0GLl4oqxERGSWc6S lq34/vvvqapPP/1UdwjrNb8TkC0QK5YoUcJkGAyyKxDAk5M0dOD/9E+/K99R o0bR0UBzmWOBiZAMgYGMsQOBRUVF0SVmzJjhrrERiocxO1i+8rZsBVSEyMTj e+2oO4Swh5ycNWuWAyeJ6OhoqmT9+vV+DYLsimeeeYbmJlr1/PLLL1QbQi+j sWjRpEmT/NbmWGDffPMNnYj1vqWxA4Fh4UPBQMWKFS3fDksaL1++PD093ViO QJck8fDDD1s6JtMK2iTEcl77mgMr7mbNmnl8r/8wyIhyLM87+ujXr5/l1XG/ aJINCwvzayDZFYjqd+zYYSxPSUmhlUWtWrWE20WKFKHx0BjOifVscnJyIIdN BIZYCxLVvSeii9LrA0+A7UQdDgSGAZnqx3LPLePWrVsjQsb6FyssjPzo/4MH DyKCFT/dWbJkiWRbzG0WLVpEFTZq1Aj3Ed0FFWGop0IEVFpj3GsqN8ZUa9as 2bZtG6Y5hEMIcnr16kUbd5Doli1bgukK2nN48sknETHu2bMHtxjPwtSpU8Xy cMWKFcK4e/fuVPjYY48dOnSICjHUT58+nR7M6tWr6+rHE3TKxxdffEHnok+o RPtwpaWl4dBdd92Fu4CQFc08e/Ys/fSIzkJsLLN9ZFdgey+94KhTp46LxhCY R4PYZSUst3S0bTG3wf0SobLHtxMl/sbAcuDAAa2xicDEKyEtiKsD7U7Id4Vu U0vXFbpwCze9atWqdOj6669v2LDh008/Tb9z8/h+O5SZmamrH5oxei56QJiR wAKBB1/3ej0QdgX28ssv0yXwCLtovHr16rZt24of5wjKlSv3+eefyzjmlf49 GEYtRMvaPav8+fNjxMDKS2e5a9cuMjCuYbUCw+nVqlXDMKgdAXTId0VqairW NWLXSwBh+O0KXHTo0KG6roOYEZj5fb8m5GfkgQceEGZnzpwZOXIkBkCdDQZG jPPaH6SZ43ibQgUYXvDEYa03f/787777Toz5kthqBWSGZxDTUFJSksxLWx3H jh1buXIlJhdEOA7Wg5Zg9kEMjzCJusLyRcmff/4JZS5evHjOnDlbt261tcNm DqZO1JyYmIgoBUGF3b4KKYEFSe5oRS6DBcYohQXGKIUFxiiFBcYohQXGKIUF xiiFBcYohQXGKIUFxiiFBcYohQXGKIUFxihlL8MwTK7gSo+mwZI7WpHLYIEx SmGBMUphgTFKYYExSmGBMUphgTFKYYExSmGBMUphgTFKYYExSmGBMUphgTFK YYExSrnMAvv3339FpjDXcdAKVxKS2gI9oMv2aI6z3Kx//fWX5Td/zp07Z8xu GYhQS0iq823u3Lnh4eENGzakr3IVLFhQl56va9eulpWvWrVKpi0yrQ4yIakD b3Frpk2b1qBBA/rw12233RYWFvbVV18ZK3ecm3X37t0xMTHPP/885UjFWQ8+ +KDO5sCBA+PGjWvSpEmZMmXoE4hFihR56KGH4uPjjTWHckJSQXZ2NnrGaKn7 AvYDDzxgWbnlh3MlBRZ8QlK73h4/frxRo0Z+zTp06KCr3FluVjSKvhCrxfjd PPE5RCPwUPdJzFBOSEokJyeXLl2aXKpfv/6IESOWLFmSkJAQERGh+/BsVFRU oJox1BhvmUlbzG1cSUhq19s2bdpQYYsWLTBqpaWlzZ49W3zKUvdNdbu5WTHi ia+/3njjjRj6YmNjv/jiiw8//FD3yVnvJYFVqVJlyJAh8+fPhxtwWHzsUfcJ 9xBPSIqGV6tWzePL+4bGOpi+CQzI1KJAX0sWyLTClYSktrwVaQtefvllrSVC mltuucXj+5KqNhaym5t16dKlVI751zKHXWRkJPzRtTE9PZ00ds8992jLQzwh qWj4e++957hmzPUI2FAJBgFLY8tWuJKQ1K63uKdUszFuwVBDh0yS7gn85maF VOgzqlCp8Ruz8tAX+IHMtzdDISGpaHiFChWM31qX59VXX6X5wiS3lNYT81a4 kpDUrrdNmzb1+LJ7G+0RctNFZTIx+c3NKvJqGXOX2IJmdiwNjJlzjYRCQtJD hw5RwxE8wA1EPpjxKTbQfSrchNTU1ECJOfxi2QpXEpLa9ZbCe4QQxskXCzda bpikrPKa5mZFlEWSzsnJwQi5cuVKdHJcXNzatWslFyxe3zKfUhmaZ4IOqYSk orx27dqUxUyA4Q7RiEwGW8q+gUknKytLvi0mBq4kJLXrbXh4OF10586dxrPK lClDveS3TsvcrJR0AwYi+4YAARUW/jKeI3SnUzCb+zUIwYSkGK+0jS1SpEjl ypXRZFHSsGFD851AkRAHSxhJZyxb4VZCUlvezpkzhw5h7abb2MRCgOJ89Ibf ai1zs95///3CAOMYVqboZ/GNfYyomDLMPd+zZw9F+Ph/oAd5b+glJI2JiaFD CEu0yRlxZyk9n8c3ewaqGU9HjRo1SJny+9iWrXArIaktbxGCivQrMECHoOGv vfYaLbGJdu3a+a3ZMjcr7X1Be1gmiFckeHInTJhA9nj2TZImIJIpV64cWS5Y sCCQWQgmJB02bBi5vW/fPmOjEPF6As8LXs1Tb2sFatkKFxOS2vIWknj44Yc9 Bmh+BIMGDbK8ijE3K24BbjRK/L5AERsmgbKHY9IRA2B0dLRkY0MkIemsWbPo qN9smPREYyr3u8DEA0ibkCVLlrT14tKyFe4mJLXr7Zo1a/r16/fCCy+0bdsW gxicwTKf/JEcDYy5WWnURYBkNEYbqXK/0ThWBDQ+gKioKJmrC0IhIalo3ezZ s41HX3rpJTrq946INMFTpkyRd8l7hRKSOvYWTJ48mc7FKlvG3piblR5V3QYp IbJJ9u3bV3do165dNHhidWDrJSyxNwQSkmZnZ5v4QCt344tLr2+6pze8iA1k ssVpsWyF6wlJg/EWAT89pI8++qjkKcbcrPSSCAtzY6CFAdPvOPPdd9+Rz/nz 58fkbstnIkQSktaqVcvj247T1bxjxw6KHIzb6V5N5DBv3jxJfwQyrXA3Ialj bzF0Y6Kkc9etW6c9ZCs3q8j5iFWDzl68FdUGnPHx8bTdhzDY/J1F6CckTUpK og0czPWbN2+mwvXr19NbPzTTmNdVvGqpXr26458emdu4lZDUlreQE8YKSBrP IwLj+fPni7Ublvw6Y7u5WZs3by4mdwo5cnJy8ERQIWQmLLds2eK5xPjx47/y h4hOr4qEpPSOkihWrJjYn4Hw/CaSxmqIDAItfCx9s2yFWwlJbXkrXglpwXA0 YsQIozLt5mbFcCc6FsrEEoAGOnDfffdpt00wORrd0CFykl4VCUm9vl1ikQtY NMFvznQ8rdQzjRs3lqnZiGQrXElIastbncAwQWOmDvT7SQe5WbOyslq2bKk1 xiAQGRmpW0OJNY4J4kc4V1FCUkSkuB3oHIzAdnOM2sJWK4JMSGoL9EBycjJ6 AGOdZA84yM1K2cMTEhJSUlJczJHKCUkFuaMVuQwWGKMUFhijFBYYoxQWGKMU FhijFBYYoxQWGKMUFhijFBYYoxQWGKMUFhijFBYYo5S9DMMwuYIrPZoGS+5o RS6DBcYohQXGKIUFxiiFBcYohQXGKIUFxiiFBcYohQXGKIUFxiiFBcYohQXG KIUFxiiFBcYoxbHALl68eOjQIclvrdgydoyDVriSkPTkyZN2v5+piLNnzzrw RCZLrOM7aFdg8H/KlCmVKlWiLzFec801pUqVev311zMzM4M0NjJx4kRK7nn4 8GH5tshYBpmQFO1avHjxq6++WrlyZfqaaL58+cqWLduhQwe/+c727dtnnr10 6tSpga6VkJBQu3ZtY2I+LRkZGe3bt6c8pPnz50eH9+nTxzybrUyWWG/Qd9Br U2BnzpzRfpGMPnVIwAHdFzttGRuZP3+++LifzPfYvdICCz4hqUgkZwRNMybX 2L59u/ln33r27On3QhhgoS4Y1K1bN5AzcXFx2u80CkqUKCG+XKpDMktskHeQ sCUw8d1adMi6desuXLiQlpY2cuRI+hwfhgLth+9sGevYsGFDgQIFRHNcFJgr CUlJYHjkMYhh6EtMTBwyZIhIJoum6YZcIbAmTZr4TWOqy7KRnp6OcSMiIoI+ g28isK1bt9J9L1q0KDxJTk5Gi/Ck0LNZsWJF44wpnyU2mDsokBcYpmlqi/G7 tSIpg/gssC1jHeheyuCjQmCuJCTdtGnTgAEDjhw5oisXn0fWZQcQAjNJ16IF g5JubAkkMEphgwFZl31p+PDhdOL777+vLZfPEhvMHdQiLzDx7A8ePFh3SHTg qFGjHBhrwb2m/CZ4+saPH++uwFQnJE1NTaVKdGnL7Arshx9+GHwJypjgV2CI smikMqab/Pvvv2n002Xok88S6/gO6pAX2B9//EFf7cat16WtFMl6RJo8W8aC c+fONW7c2OObvxAtiwfZLYGpTkgqPho8cOBAbbldgWnBrBpIYHgWqFqshoxH O3XqREdFpl1bWWKd3UEjtmIw8Un2KlWqiK/c4+qU6QnPmnbItWVMUMbYQoUK QQlezUzhlsCUJiT1avJR6lIkC4Fhcjlw4MDBgwflswCbCEzk8kAwaTwqchdi QqcSu1liHdxBI7YElpWVRYsaAutrrMjCwsI8vi/263II2jIGiDY9voWwWCy7 LjClCUkxK5UvX97jC/6PHTumPWRcRaKZWOX17t3bsmkmAsMUSbUhGjce/eST T+io+Iy/3Syxdu+gX+zug2Hpevvtt+u6C8sKY8ZzW8Zz586lozExMaLQdYGp S0gKsHajyo3Jp0y2KaBGvwnpBCYCA7Q2AZCTtjwnJwfqpUMiqnSQJdbW7faL LYFhjK1Xrx4ugTgc8z78ERfFTI31rzPj9evX06aELkeV6wJTlJDUq0nAiiDH uN2dnZ0NA8xEmJXgIQKA+Ph46hyPL+GmyWfwzQWGuV5sT8EmPDw8IiKiZcuW 2jQTIkO93Syxtm53IOQFBjGXKlUKlVetWlVMATgLQyutZdDS77//3oFx06ZN UfLggw/C8ncNItsdZjT80/J1hmUrFCUkRedTtRgNbGWaEMloTLKemQvM68tv RW8TtOTLl482k9HbQvC2ssTauoMmyAsMKy9yz5jwTsQ2IjOmLeNHH33UI4Hf tJvGtpgYqEhIiqU61YkBMCMjw9a5GFvoXJPEi5YCAydOnECHd+nSpVWrVpgF MFJBQggmPf/NsmQrS6ytO2iCvMBEFlFtIjwCLtH+kmiOLWNJgVnmVbRshbsJ SbGGioyMpLOwzpJ8YaoFYwudju4KZCMjMCPnz5/HIsLz3wHZVpZYW3fQBHmB tW/fnq7o9wUB5efF4sKB8enTp4/6QzxEeOLwT2NmcL9tMTFwMSEpgmGRf7ZB gwbmb5YDITZmTTbfnAksOjqaatbmHbOVJdbWHTRBXmBiXx1/6A7h4aUoXazx bRkHwvUg3+tSQlL0OSWf9fgSMlr+iGXp0qV+bWgWA8b34wIHAlu7di1N92Fh YbpD8lliXbmDXjsCS09Pp2AS07R2isnMzKTeRuy3YsUKB8aBUCEwVxKSih1I rBm//PJLv5k9tQKGbiHpqKgozNGIl86dO5eSkoLJiyqBeESKZAJz0KlLYFUL GwhDlOh+8rFmzRosTjGiUra1Xr16URCOi27ZskXXfPkssa7cQa/NbQrxjgDA pRYtWuBa4mcPQ4YMcWzsFxUCcyUhKb3PMichIUHYazcNPP/NMXrLLbfs2rVL 5+TMmTMla/ZqXglpqVSpktid0CGfJTb4O+i1v9GKZ0T8uEWAx2H58uVBGhvB ApxO8ZvDOlBbLM2CT0jq98dUOrQ/3kNEZMzsiWV+hw4ddJvnuob7BWthrbFW YGhItWrVMCBrJ3oj8llig7yDXqc/mc7KysLIDD8xQWBFrBvhgzEOBlutuJwJ SQlEbtu3b09MTFy8ePHOnTsxUbpS7bFjx1auXAk9Jycny+chtZUlNpg76Exg oUnuaEUugwXGKIUFxiiFBcYohQXGKIUFxiiFBcYohQXGKIUFxiiFBcYohQXG KIUFxiiFBcYoZS/DMMxVzpUeRxmGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiG YRiGYRiGYRiGYRiGYRiGYRiGYRiGYRiGYRjGff4Pz1fCtQ== "], {{0, 232}, {203, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{101.5, Automatic}, ImageSizeRaw->{203, 232}, PlotRange->{{0, 203}, {0, 232}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.765277263806347*^9, {3.765277305824636*^9, 3.7652773329018*^9}, 3.7652773640133038`*^9, 3.765278644246772*^9, {3.7652788343527727`*^9, 3.765278856424762*^9}, 3.7652789939552517`*^9}, CellLabel->"Out[10]=", CellID->64956183] }, Open ]], Cell["Copying the result and reevaluating gives the original data:", "Text", CellChangeTimes->{{3.765277267177561*^9, 3.765277276077712*^9}, { 3.76527734743652*^9, 3.7652773579756813`*^9}, 3.767109402304476*^9}, CellID->1020146053], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[ DynamicModuleBox[{TypeSystem`NestedGrid`PackagePrivate`$state$$ = Data`UnorderedAssociation[ "RowCount" -> 3, "Length" -> 3, "InitialType" -> TypeSystem`Vector[ TypeSystem`Struct[{"x", "y"}, { TypeSystem`Atom[Integer], TypeSystem`Atom[Real]}], 3], "Shape" -> TypeSystem`PackageScope`HeaderShape[ Association[{All, "x"} -> 1, {All, "y"} -> 1], TypeSystem`PackageScope`Limited[ TypeSystem`PackageScope`ColumnShape[ TypeSystem`PackageScope`RowShape[ Association[ "x" -> TypeSystem`PackageScope`AtomShape[34], "y" -> TypeSystem`PackageScope`AtomShape[60]]]], 3, {}]], "InitialData" -> TypeSystem`PackageScope`CacheHandle[950267420], "Type" -> TypeSystem`Vector[ TypeSystem`Struct[{"x", "y"}, { TypeSystem`Atom[Integer], TypeSystem`Atom[Real]}], 3], "HandleQ" -> True, "RowTarget" -> 20, "Data" -> TypeSystem`PackageScope`CacheHandle[950267420]], TypeSystem`NestedGrid`PackagePrivate`$path$$ = {}, TypeSystem`NestedGrid`PackagePrivate`$pos$$ = 1, TypeSystem`NestedGrid`PackagePrivate`$grid$$ = DynamicModule[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid = Deploy[ Style[ Grid[{{ Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Pane[ RawBoxes[ StyleBox["\"x\"", FontColor -> GrayLevel[0.4]]], {{ 20, Full}, 15}], Style[ Pane[ RawBoxes[ StyleBox[ "\"x\"", FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], {{20, Full}, 15}], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 777069016][{ All, "x"}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ GeneralUtilities`Slice[All, "x"]], "Mouse"], Background -> GrayLevel[0.95], Alignment -> {Left, Baseline}], Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Pane[ RawBoxes[ StyleBox["\"y\"", FontColor -> GrayLevel[0.4]]], {{ 20, Full}, 15}], Style[ Pane[ RawBoxes[ StyleBox[ "\"y\"", FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], {{20, Full}, 15}], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 777069016][{ All, "y"}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ GeneralUtilities`Slice[All, "y"]], "Mouse"], Background -> GrayLevel[0.95], Alignment -> {Left, Baseline}]}, { Pane[ Annotation[ RawBoxes["773"], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ GeneralUtilities`Slice[1, Key["x"]]], "Mouse"], ImageSize -> {{34, Full}, Automatic}, Alignment -> {Left, Baseline}], Pane[ Annotation[ RawBoxes["0.975813"], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ GeneralUtilities`Slice[1, Key["y"]]], "Mouse"], ImageSize -> {{60, Full}, Automatic}, Alignment -> {Left, Baseline}]}, { Pane[ Annotation[ RawBoxes["767"], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ GeneralUtilities`Slice[2, Key["x"]]], "Mouse"], ImageSize -> {{34, Full}, Automatic}, Alignment -> {Left, Baseline}], Pane[ Annotation[ RawBoxes["0.793623"], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ GeneralUtilities`Slice[2, Key["y"]]], "Mouse"], ImageSize -> {{60, Full}, Automatic}, Alignment -> {Left, Baseline}]}, { Pane[ Annotation[ RawBoxes["884"], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ GeneralUtilities`Slice[3, Key["x"]]], "Mouse"], ImageSize -> {{34, Full}, Automatic}, Alignment -> {Left, Baseline}], Pane[ Annotation[ RawBoxes["0.251968"], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ GeneralUtilities`Slice[3, Key["y"]]], "Mouse"], ImageSize -> {{60, Full}, Automatic}, Alignment -> {Left, Baseline}]}}, BaseStyle -> {ContextMenu -> { MenuItem["Copy position to clipboard", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ TypeSystem`NestedGrid`PackagePrivate`copyClip]], MenuEvaluator -> Automatic], MenuItem["Copy data to clipboard", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`copyClip]], MenuEvaluator -> Automatic], Delimiter, MenuItem["Paste position in new cell", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ TypeSystem`NestedGrid`PackagePrivate`cellPaste]], MenuEvaluator -> Automatic], MenuItem["Paste data in new cell", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`cellPaste]], MenuEvaluator -> Automatic]}, FontFamily -> "Verdana", FontSize -> 12}, Alignment -> Left, RowMinHeight -> 1.5, Dividers -> All, FrameStyle -> GrayLevel[0.85], BaseStyle -> {FontFamily -> "Verdana", FontSize -> 12}], LineBreakWithin -> False, ContextMenu -> {}, NumberMarks -> False, ShowAutoStyles -> False]], TypeSystem`NestedGrid`PackagePrivate`initialQ = True, TypeSystem`NestedGrid`PackagePrivate`self = $Failed}, Dynamic[ TypeSystem`NestedGrid`PackagePrivate`setupViewPath[ TypeSystem`NestedGrid`PackagePrivate`$path$$, If[ Not[TypeSystem`NestedGrid`PackagePrivate`initialQ], Module[{ TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = $Failed, TypeSystem`NestedGrid`PackagePrivate`tmpData$ = TypeSystem`NestedGrid`PackagePrivate`LookupCacheValue[ TypeSystem`NestedGrid`PackagePrivate`$state$$["Data"]]}, TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = If[TypeSystem`NestedGrid`PackagePrivate`tmpData$ === TypeSystem`NestedGrid`PackagePrivate`$NotCached, TypeSystem`NestedGrid`PackagePrivate`renderedGrid, TypeSystem`NestedGrid`PackagePrivate`renderGrid[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 777069016][ TypeSystem`NestedGrid`PackagePrivate`tmpData$]]; If[ Not[ FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], TypeSystem`NestedGrid`PackagePrivate`renderedGrid = TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; TypeSystem`NestedGrid`PackagePrivate`initialQ = False; TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ FailureQ[TypeSystem`NestedGrid`PackagePrivate`renderedGrid], TypeSystem`SparseGrid[ TypeSystem`H["(data no longer present)"]], If[GeneralUtilities`$DebugMode, Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, " ", TypeSystem`NestedGrid`PackagePrivate`formatState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], TrackedSymbols :> {TypeSystem`NestedGrid`PackagePrivate`$pos$$}], DynamicModuleValues :> {}], TypeSystem`NestedGrid`PackagePrivate`$posCell$$, TypeSystem`NestedGrid`PackagePrivate`$topBar$$ = Dynamic[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`makeFramedBar[ TypeSystem`PackageScope`Pathbar[ TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 777069016]]]], TrackedSymbols :> {TypeSystem`NestedGrid`PackagePrivate`$path$$}], TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$ = Framed[ Dynamic[ Replace[ MouseAnnotation[Null], { TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][Null] -> "", TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[777069016][ Pattern[TypeSystem`NestedGrid`PackagePrivate`path, Blank[]]] :> ( TypeSystem`NestedGrid`PackagePrivate`$lastPath = TypeSystem`NestedGrid`PackagePrivate`path; TypeSystem`NestedGrid`PackagePrivate`makePathTrail[ TypeSystem`NestedGrid`PackagePrivate`path, TypeSystem`NestedGrid`PackagePrivate`makePathElements]), Null :> Spacer[10], Blank[] :> Spacer[10]}], TrackedSymbols :> {}], FrameStyle -> None, ImageMargins -> 0, FrameMargins -> 0, Alignment -> Top, ImageSize -> {Automatic, 14}]}, DynamicBox[ToBoxes[ Column[ If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, { TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ TypeSystem`NestedGrid`PackagePrivate`$grid$$, TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$], TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}, { TypeSystem`NestedGrid`PackagePrivate`$topBar$$, TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ TypeSystem`NestedGrid`PackagePrivate`$grid$$, TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$], TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}], Spacings -> If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, 0, {{}, {0, 0.05, 0}}]], StandardForm], ImageSizeCache->{122., {56.5, 62.5}}, TrackedSymbols:>{ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$}], BaseStyle->{LineBreakWithin -> False}, Deinitialization:>TypeSystem`NestedGrid`PackagePrivate`deleteState[ TypeSystem`NestedGrid`PackagePrivate`$state$$], DynamicModuleValues:>{}, Initialization:>Block[{$ContextPath = $ContextPath}, Needs["TypeSystem`"]]], { Association["x" -> 773, "y" -> 0.9758129606815749], Association["x" -> 767, "y" -> 0.7936232581210563], Association["x" -> 884, "y" -> 0.2519684558814408]}]], "Input", CellChangeTimes->{3.765278997770575*^9}, CellLabel->"In[11]:=", CellID->470590088], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"\[LeftAssociation]", RowBox[{ RowBox[{"\<\"x\"\>", "\[Rule]", "773"}], ",", RowBox[{"\<\"y\"\>", "\[Rule]", "0.9758129606815749`"}]}], "\[RightAssociation]"}], ",", RowBox[{"\[LeftAssociation]", RowBox[{ RowBox[{"\<\"x\"\>", "\[Rule]", "767"}], ",", RowBox[{"\<\"y\"\>", "\[Rule]", "0.7936232581210563`"}]}], "\[RightAssociation]"}], ",", RowBox[{"\[LeftAssociation]", RowBox[{ RowBox[{"\<\"x\"\>", "\[Rule]", "884"}], ",", RowBox[{"\<\"y\"\>", "\[Rule]", "0.2519684558814408`"}]}], "\[RightAssociation]"}]}], "}"}]], "Output", CellChangeTimes->{3.7652788620361137`*^9, 3.765278998308264*^9}, CellLabel->"Out[11]=", CellID->1817062965] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Scope", "Subsection", CellID->964056545], Cell["A row of values:", "Text", CellChangeTimes->{{3.765277573099908*^9, 3.765277580198556*^9}}, CellID->820333128], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DatasetForm", "[", RowBox[{"Range", "[", "15", "]"}], "]"}]], "Input", CellChangeTimes->{{3.765277581898406*^9, 3.765277609365212*^9}, 3.765279002988592*^9}, CellLabel->"In[12]:=", CellID->74695248], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnQtQVVX3wK8IShipYJpICtqMKGkOjvhKxwzUVEYGH/nMtMgxU5HEfzph KjWgoVOWjpqOSDQgiBVkNomaooUiDDAQwkgjIAQJqHSDUB7/1V3fd77bvZxz z+Oee/bF9ZuRgfNw/9znrr3XOufg9l69MeQtB51O964zfAlZ9X8vhYev2jq/ D/ywcMO7a9dsCH3zlQ2bQ9eEhk9Y3R02fg9/nuym0/3zfQdBEIJkZmaWEATB AwUIQVhE63nMMj8Z0NqCF9JTAuN6BEGIgQKZIPj4yQitXQiCRewlOhj3JD0l MK5nLzDejaSnBMb1CIIQAwUyQfBBNTtBCGMv0cG4J+kpgXE9e4HxbiQ9JTCu RxCEGCiQCYIPqtkJQhh7iQ7GPUlPCYzr2QuMdyPpKYFxPYIgxND1ArmlpeXe vXtaW/DS2tpaV1fX3t6utQhhGdk1O1zfwMBAf3//69evq+QmlYqKir17906b Ns3T09PB4Z///qJ3797jxo2Li4tra2vT2q6jvr7+6NGjs2fP9vb2dnR0BD0n JycvL6+IiIjy8nKt7Tqhurp67ty5cJV3796ttUtHWVlZoCAHDx5UqWnZM0hy crLOwA8//GB1K3PEeI4ePVrHw9SpUx8+fKitXkhICJ+eu7t7UVGRtnom6PX6 sWPHot7SpUtVEkPE6OXk5PD1HrJu3TpVJcVz8uTJmJiYoKCg7t27sxkjo0aN ioyMTExMjI+PX7hwoaurK3pu3bpVWz2MEZg4Nm/efPz48YyMDPg6ceJE1PP1 9dVWzxiYdufNm8d9/JiKEcgT3uqMpKQkVSXFM3jwYJP4tU2MiCE8PDwtLc0k yb916xaGydChQ7USQ6KjoyFsHz16ZLwRZrfx48djT9bW1mrlZsKmTZvABxNC G8SIGLgY0SoWxI8zsbGx2wwsWbKEtRjhIzg4GFUfPHigtUsnQGeiXm5urtYu /3DgwAH0OXz4MA6Jj3mMyK7Z4Xh7iRHIuMCzW7duTU1NWrt0wqxZs0CvZ8+e zc3NWrt0nDlzBrPoiIiIjv+mDRQj8mp2G8eIbM/W1la80IMGDbK6FYcMPcj5 4bpv2LABuzEqKkoltw7Renl5eZiXzp8/H1NW28SIpHrk0KFDFRUVd+7cMcla GcReYgTqYvSEasXqVhyS9KqrqwMCAtzc3FDM2dkZAkTVZyVi9Kqqqjw9PcHH 39+fm3AZjBEOSAwGDBiwfv360tJSVfVkYxe5VnFxMQ6M8LWyslJrnf9QUlJi fK0XLVqUn5+vrZJer/fz8wOZIUOG1NTUcNsZzLXMgUHmypUragt0yXoEBsZh w4ZpezOkUxoaGrZv3w7zGqQ0Li4uoAclAKQQWvlA1hcUFKQzPHItLCw03sVO jNTW1sbExKSnp2dnZ8Mgk5WVFRcXx905d3d3h8utUtNdtWaHwXD48OFoGB0d rbUOL3V1db6+viDZo0cPrXIGGISxo1JSUu79Gw8PD9geEhKCP7LwuoIJK1as QPmEhASVmuiSNXt5ebmPjw/q7dy5U1UxRHY3Amlpaah65MgR61pxCOtlZmby pTEmqJTSKOm9mzdvoltYWJh1rZTDbIwUFRVh7Qk13f79+9UWQ5RcZa48Ue8q WytG4Ejb6wnT3NyMbiwkhCawmWtdvHixb9++OsPrgupNvtbl3Llz2JN79uzR RKC1tbWGh4EDB4JYcHAw/ghHamIoQF5eHvbejh07VG2oa9QjUMRBVg9Kffr0 OX/+vNY6/wLqjqSkJPNb+u3t7TNmzMCezMjI0MRNAHZq9tOnT3f6jJV7UxTK eZWallqz6/X6+wZACd2g0MMtsEslSTFcu3aNSwn27dt3tjOuXr2qlV5+fr7O cGc1NjYWNKD+bWpqgvQ+MDAQnf38/FR9M1ke7MSIq6tr//79obq8dOlSfX19 S0tLbm7unDlzsPcmTJig3v0EqTMIXGW+ZHXEiBEqSYrxhCzLYjqtnqFFPYwR PiA/LC4uVslNjB4f7DxD5N7fRqDY5L7v16+fqr9ZIBUvLy++Cz1y5Ej12rXY jTC8WIwR9d4/t6jX2NgYFRU1ZswYEyUHB4fQ0NC7d++qJCZSjw+83MuXL7e6 kjFi9KKjo817z9HRceXKlZDHqqpH2BhISqHMTEtLS01NLSgoYOE9RjsCBpOc nBzovVOnThUWFkLGZbOmldx8I4iujezn7ATxmGAv0cG4J+kpgXE9e4HxbiQ9 JTCuRxCEGCiQCYIPqtkJQhh7iQ7GPUlPCYzr2QuMdyPpKYFxPYIgxECBTBB8 UM1OEMIYR0cJw6Qa0NqCF9JTAuN6xvGitYsQjHcj6SmBcT0t5i6CsD+oHiEI PqhmJwhh7CU6GPckPSUwrmcvMN6NpKcExvUIghADBTJB8EE1O0EIYy/Rwbgn 6SmBcT17gfFuJD0lMK5HEIQYKJAJgg+q2QlCGHuJDsY9SU8JjOvZC4x3I+kp gXE95bS3t//1119aW9gZbW1tVVVVzP6n8XBNGxsbtbawGn/++afyv0RqILe2 tn711VcbN26cMmUKLp7i7OyckpKi3EQ2uCaUMCtWrNDQEHj48OGBAwd8fX1x Tbpu3bp5eHi88cYbt2/f1lYMgdA4dOjQ5MmTn3rqKdDr37//9OnTz549q7WX KeAJV9Pf3//69esCh50/f37hwoW4hIqbm9vMmTPlrSEro2avra196aWXzFfA UW/pZDEkJydbXKPn2Wef1dAQRmbjVWYcHR257yFkNF8M8e7du1OnTu2031au XKmtmwnctRZYi/PEiRNOTk7m/5Y333xT6sqnUmeQGzduDBo0CJubNGnSrl27 UlNTT548GRYWpurioRY9c3Nz3+LnmWeeUTVGxHTjggULsN/WrVt3+fLlR48e 5efnR0VFubi44ECn3mpWYvTmz5+PekFBQTB3gFt8fDy3tN+XX36pkptIPQA+ ZjExMaDXvXt34RjJzs7GA2Aq/Pjjj6G3jx07Nn78eNz44YcfWvtf8D9gjnvh hReglZ49e37++efwo3ptmaCkrIOJ78knn8Srb10rDot6ULLhxLFo0SKTXZDe 4LU7ffq0VnppaWnoYLKsW11dXb9+/WD7gAED7t27p5UegoszGsMXI2vWrMHZ GTJwbmNDQ8Nzzz0H2729vdX76MJFRLePPvpIpSbU4O2339YZVh6EsVErB25k 27Ztm8munJwc3LV7925N3IDw8HB0KC8vN9l1+PBh3PXFF19o4sYRGxu7zcCS JUsEYgSGI6yn5s2bZ7ILikE8UcbS5GICGUIP02kfHx/zdcaZpaSkBAfwZcuW aaih1+udnZ11hrV9m5qajHclJCTghROuQFUlICBAZ1jX3nxXRUUF6q1atcr2 Yp0Cn1WBGMnKysK9e/fuNdn166+/4q4dO3ZIak5kzV5VVYV//5YtW5qbm2Fg TExMhEEmPT0dulF8izYG17iH8u23337T1mT27NnYgaNGjSooKMCNEC8vvvgi bPT09LRl7moCVuuQkZo7tLW1YfE7Y8YMTdzMEY6Rb7/9Fvd2ehsE7yiuXbtW UnMi8/yff/4Zm/b393/66aeN00IYqCGPVXUJYHn1COf8zjvvqGHFIUavsrIS uo7rtMDAwBMnTkyfPh2+h9JY1TzQot7GjRvRqrCw0HwvxC9ed630zI8XiJEj R44IzMtubm6wC0ZO+br8wKxhHBe9e/d+/vnnhw4dym2ZMmXK33//rUbTHXJj ZPLkySDWq1evmpoaNaw4ROo1NjYOHDhQ929cXFzMqwAb63H5HsxxJrX5jRs3 sGyH66uVnvnxAjESFRWFeyGzMt+Lhf+kSZPk6/ITExODTb/22mt5eXncdjDx 8/Pj0jA1mpbH119/jVbvv/++1i7/AMnqxIkTwWf48OGffPIJfOS4MIEiBT6K GrpBgQnzGjf6wSWGS/n666/jbUxk8eLFGhoaIxwjkZGRuLe0tNR8r7e3t7wY ERPIH3zwATZdVlZmsguuPpR7qk7HUoGL7uPjA0ru7u4PHjzQWuefGcTDwwN8 Ro8e/ccff+DGkpISyFG7deuG+eqlS5c0NLx//z5WRiZgogW89957GuoZIxwj n332Ge41Hsk5sEyYM2eOpOZE1uyQPGPTxvecOXAUcnZ2ZuSWF/fQwfzmhiaA BvpAN5rs4vLngIAATdyMuXDhwrvvvvvqq68uWLAAppLk5OTc3FzUgy7V2u4/ CMcI9xT+6tWr5nufeOIJ2LV69WpJzYlMBaFFbDo+Pt5879KlS3GvSu83SkpZ 9Xo992BdvRLJGIt6XP/U1taa7IJRBe/ng7NWegLs378fzbOzs61rxWHdegSm Y9xr/m7A77//jru2bt2qyJgHuLj494eFhZnvxZuH2r7swbFz505UPXbsmEo+ JljUW7ZsGSp1+sIJpoVDhgzRSo8PqN9xtHn55ZetbsVh3RiBQHBwcNAZXs0y 2ZWUlMQ3m1uLsWPH6gwvopj8h/MFBQX4Co35k03bU1NTg2+eQCEs9e019di3 bx9eHfjGZFd1dTV0qU61G5KygZSAe8fs8uXLWuv8D+EYAWbNmqUzvKxlPGu3 t7fPnDkTtru6ukKmIaNRMYGclZWFBSaMe7/88gtuzMzMxNdgevTowT0a05C1 a9diB6r3+pMMbt26hZELJZtxDnD79m28QQ0de+bMGQ0NISISEhLgQwUDS2lp aWJi4rBhw7Anzd8x0wT4YN83kJ6ejmIpKSm4xeQzD9vxAEhv4DMJ0QEDEeQ/ uDE0NFRSu+JrdgTffULc3NwwkcZL/Omnn0pqWg24N0/Gjx+vtYsp3DMIAEaV oKAgiA6cQYDIyEht9bh3ToyBpGXXrl0avgBgDPcSsjmQMxgfCSXe4sWLub29 evUyPlLqayEyMtXjx4+7u7ubGMJsIukvkYpIz+XLl6PShQsXVPUxQaTelStX uDe0OWBS/u677zTXM4kRSFQgY/nxxx9VFROvB+BvS3XKyJEjTQ6GuN6yZQv+ AiDi5OT0yiuvNDQ0qPOPMKWtrQ2m42+++ebs2bNVVVU2aFHJnRkbIEmvsrIS QhiGmu+//76srAw6U1W3DnF6oHHjxg24pmBlm2vKod7FhUgpLi5OTk6GMoHZ 34wmiK4B46M0QWiI1JqdIB437CU6GPckPSUwrmcvMN6NpKcExvUIghADBTJB 8EE1O0EIYy/Rwbgn6SmBcT17gfFuJD0lMK5HEIQYKJAJgg/jmr2EIAgzjGcQ rV2ESDWgtQUvpKcExvW0ncXEw3g2SHpKYFyPIAgxUCATBB/0nJ0ghLGX6GDc k/SUwLievcB4N5KeEhjXIwhCDBTIBMEH1ewEIYy9RAfjnqSnBMb17AXGu5H0 lMC4HkEQYqBAJgg+qGYnCGHsJToY9yQ9JTCuZy+o2o0tLS0mi5JLRVW91tbW uro6JYuAMP4hZFxPNnDJAgMD/f39r1+/bt2DrYLFFisqKvbu3Ttt2jRPT09c Pq93797jxo2Li4uzwWIHFvXq6+uPHj06e/Zsb29vXHXIycnJy8srIiKivLxc cz1zqqur586dC2ft3r1bVbcOEXplZWWBghw8eFBqozICmVvhl29NOtkHWwWL LY4ePZpvwZepU6c+fPhQW72QkBA+PXd396KiIm31TNDr9bhWJrB06VJV3cTo 5eTk8PUesm7dOvHNSa3ZT548GRMTExQUhIuECnejpIOtgvgWMUZGjRoVGRmZ mJgYHx+/cOFCbtkjldYmFq+HMQITx+bNm48fP56RkQFfJ06ciGf5+vpqq2cM TLvz5s3jPn7qxYh4PS5GIE94qzOSkpLEtyt1Bhk8eLBJSAp0o6SDreIpvsXw 8PC0tDSTJP/WrVsYJkOHDtVWLzo6GsL20aNHxhthduOWijNf592WesZs2rQJ jsSEUF6MWF2PixFJsWAtYmNjtxlYsmSJxW6UdLAwIrtReYvBwcF44oMHDxjU g3PxxNzcXBb0Dhw4gEcePnwYP8PqxYh4PW1jhOMnS2tkyz7YKshuETIunWGZ 4KamJpXcOhTo4crjPXv2VHV1P5F6Z86cwbQnIiKi47/jvA3qEYt6asSIjJq9 S8ZIa2srXuhBgwap59YhXQ9yfrjuGzZswLOioqI018vLy8O8dP78+ZiyMhgj hw4dqqiouHPnjknWKrU5ec/Zu2SMQF2MZ0G1op5bhxS96urqgIAANzc3PN7Z 2RkCRO0F0y3qVVVVeXp6wgH+/v7chMtgjHBAYjBgwID169eXlpbKaE7e4xsb x4hUTxktFhcX48AIXysrKxnRKykpMb7WixYtys/Pl+RmdT29Xu/n5wd7hwwZ UlNTw21Xux4RqdcheO8XBpkrV65INZRHF4sRGBiHDRuGp8hIYtXTa2ho2L59 O8xrkNK4uLjAKVACQAqhlR5kfUFBQTrDI9fCwkLjXezESG1tbUxMTHp6enZ2 NgwyWVlZcXFx3J1zd3d32yxA35VyLRgMhw8fjsdHR0ezpsdRV1fn6+sLZ/Xo 0UNGzmAVPRiEcVdKSsq9f+Ph4QHbQ0JC8Ef1XleQ/XFasWIFnpiQkCCj0ce2 HikvL/fx8cGDd+7cyZqeCWlpaXjikSNHVHLrENTLzMzUiUO9lEZ27928eRNP DAsLk9Tc41yzFxUVYe0JNd3+/ftt4yZezxyuPJF0laVilRiBI22vJ0xzczOe KCkhfJxr9osXL/bt21dneF1QxuSrtl6nnDt3Dk/cs2ePJnqtra01PAwcOBBO CQ4Oxh/hSNvrCZOXl4cn7tixQ9KJ8rD3GIEiDrJ6OKBPnz7nz5+XZ6WSHtQd SUlJ5rf029vbZ8yYgSdmZGRopccHOzX76dOnO33Gyr0pCuW8VEnx6PX6+wag FWwOajfcAruUHGxLvWvXrnEpwb59+852xtWrV7XSy8/P1xnurMbGxoIG1L9N TU2Q3gcGBuJZfn5+aryZrPB6qf18RLyeq6tr//79obq8dOlSfX19S0tLbm7u nDlz8KwJEybIuJ8gPpDhwul4GDFihJKDrYLIFiHL4jtMVUORehgjfEB+WFxc bHU38Xp8qB0j4vW497cRKDa57/v16yf1Nwuk1uxeXl58niNHjlRysFUQ2SIM L3yHcajx/rlIvcbGxqioqDFjxpgc4+DgEBoaevfuXauLSdITPn358uWa60VH R5v3nqOj48qVKyGPldqu7JrdxjDuqZIeZBFQZqalpaWmphYUFMh+j/Hx7D0Y THJycqD3Tp06VVhYCBmX1ZtgisfzKlsL0iMIQm0okAmCD9nP2QniMcFeooNx T9JTAuN69gLj3Uh6SmBcjyAIMVAgEwQfVLMThDD2Eh2Me5KeEhjXsxcY70bS UwLjegRBiCE1NTUzM7OEIAgzIDQoQAhCGPV+N58gCIIgCIIgCIIgCIIgCIIg CIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIg CIIgCIIgCIIQyf8DBrSyUw== "], {{0, 182}, {268, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{134., Automatic}, ImageSizeRaw->{268, 182}, PlotRange->{{0, 268}, {0, 182}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.765277590050324*^9, 3.76527764611968*^9}, 3.765278868565626*^9, 3.765279003589075*^9}, CellLabel->"Out[12]=", CellID->766253584] }, Open ]], Cell["Labeled rows and columns:", "Text", CellChangeTimes->{{3.765277690806759*^9, 3.765277697175846*^9}}, CellID->2094976265], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DatasetForm", "[", RowBox[{"EntityValue", "[", RowBox[{ TemplateBox[{"\"noble gases\"",RowBox[{"EntityClass", "[", RowBox[{"\"Element\"", ",", "\"NobleGas\""}], "]"}], "\"EntityClass[\\\"Element\\\", \\\"NobleGas\\\"]\"","\"elements\""}, "EntityClass"], ",", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}], ",", "\"\\""}], "]"}], "]"}]], "Input", CellChangeTimes->{{3.765277679923374*^9, 3.7652776843062887`*^9}, 3.767112755825481*^9}, CellID->1538078687], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsvdlfFEn3PvjOzM1cztXc//6LuZ3Lufxqv6/db3fbtHvbKlqggAoiIAIi CMgqICCLgKyyyaogIPu+7/u+KoiIOg91IDrNzKrKrCqgqoznEx8+EBkZ24k8 zzmx8b9O2R8797//61//cvg/8ePYn07/r0bzp8vx/wt//PuKw1/nr5w98/9d cTx7/qzm/zn1fyDyxf/2r3/930i/+/s3Dg4ODg4ODg4ODg6OQ0QfBwcHBwcH BwcHBwfHoWOdwwrBZWfb4PLlsGRwBrF2cNnZNrh8OSwZnEGsHVx2tg0uXw5L BmcQaweXnW2Dy5fDksEZxNrBZWfb4PLlsGRwBrF2cNnZNrh8OSwZnEGsHVx2 tg0uXw5LBmcQaweXnW2Dy5fDksEZxNrBZWfb4PLlsGRwBrF2cNnZNrh8OSwZ nEGsHVx2tg0uXw5LBmcQaweXnW2Dy5fDksEZxNrBZWfb4PLlsGRwBrF2cNnZ Nrh8OSwZnEGsHVx2tg0uXw5LBmcQaweXnW2Dy5fDksEZxNrBZWfb4PLlsGRw BrF2WKDsamtrIyMjo6KiFhYWjrouVg8LlC8HBwNnEGuHEtkFBgbeFODWrVuu rq4eHh6PHj0qKiqamZkxuvTR0dGLWgQFBbHItLS0c1pMTk7qSXZwqK+vF7X3 zp07Dx48SElJGR4eNjrb6OhoakVXV5dxOaBDmpubW1paVldXFb5ihHzd3Ny8 vLwQmZiY2NTUtLa2ZlxtDw66xkN7ezv6Z2Rk5KgqxqEWnEGsHUpk5+Lick43 HB0dBwYGjCt9aGiIMvHz82ORUgaRTXZweP36ta7Gnj9/Pj4+3rhsw8LCKJO2 tjbjcsjIyKAcxsbGFL5iunzxtKSkxLgKHxB0jQdIB5FPnjw5qopxqAVnEGuH cg1z6dKlFC2Sk5Pj4uJgo8IIpA8ZVrpxpU9NTT3UAqzBIqUMIpvs4MAYBH4H GpuQkADl7+zszJQqOsGIbF++fEmtgAI0rmIHyiB///03GpuUlAQNDO8SnoiQ RwoLC42r80FA13jgDGJ14Axi7VCuYaBCRfGjo6PXrl0jDYOP2lxVkjLIIYMx SHl5OYtcW1srKChgnsj8/PzhV+xAGUQqX7wYGxvLSKSiosKYSh8iOINYHTiD WDtM0TAArHRSL9JMGhoaEhMT/fz8YM2GhoZmZWXJskx2djYUY2NjI4uRZRBp stbWVsQg25WVld7e3tTUVFQGZYWEhJSWlso2ZGFhAY7A48ePb9++7e7uHhER UV9fn6FFR0cHSybLIAS8S4+am5vVNra9vR0FZWZmLi0tGdGK3NxcHx8fKh1u UcY+amtrZRtLMFG+QHp6OhV64cIF6fwbMkeCoKAgV1dXND8+Pl6aRq2kkAzx IC9fX18vLy/0J5w+ZCJckRGNh87OTkavyDlDgLm5uby8PPwC0cs2EB1IKfnO jcMHZxBrhykaBl80zXU4ODgIv25oyKdPn0pn1DUaDTStMIfV1VV6BHXBIqUM IpsMWoUio6KiyPgUAmpHVFtwhJ4JfygQllIPg7x48YIeFRcXq22sLDMqb8Vf f/0lW3OQmqzUCKYzCABylNYHQgGpydYK6YWvq5LU0NCQk5OTbEtZSul4AD3J vgL09/eD2uh3oZ1AWF5ehqRIXvhdf0dxmB2cQawdRmuYmZmZuLg4+jCfP38u fMSmPq5cuQI7PykpiRnPUCDC4szCIITLly+jFOHsvVCBwyNAZSgeCiosLOzJ kyeenp4ssUIGQUvpUVVVldrG6mcQg63w9/d3dHSkSDhQ9/chrLkUZmGQ8fFx KvfixYtMzTKlffXq1WfPnsHCx0/WyW/evDGijfA+4MtQ5K1btyAjsPO9e/eI pwIDAymZdDxUVlaiKyjS3t7+vgATExPV1dX0KDIyUtQ01JMeHc4SG4cInEGs Har26rhqcfv2baiyCxcuUCS+cWFimHxkZ968eVO4r7KwsJDSQxOySLMwCKxH qHq2wZVptpiYGJYYup0io6OjhaYmjFKKV8IgIE227kPbelU1Vj+DKGnFIa+D CAE3U9hwcMrff/+NPz08PITbuREPQkH89evXjWhjd3c3E5OwdLAAzBW4MPSn 7HhY170OgvSozzktA4o2n3t7e5/TTtChCP29xHEQ4Axi7TB9tycQFBQ0NzdH iZljUlNTI8qHGedsM5JZGARaS1jK4uIibRJ78OABxSwsLFBKKElYucLEUMVK GGR+fh7NgVVM8cwYVtVY/QxisBXrR8ogAQEBVDQtc8DVErWOITMzU9RM5W1k zoJoHkwEtQwirFVOTg6L7OnpoUj4pHqK4zg4cAaxdijXMJcuXXq+DygQuB5+ fn5sGtzd3Z1sS1pbv3LlivQkWmlpKSV+9+4dxZiFQWZnZ0UFwSOgKtGfzLKF 0StKqZ9BLl++DNsVP88JAP+L2auqGqufQQy2Yv1IGQSkSUW3t7ev7xMKTPdX EoSHh1PK1tZWtW1EAvJtwSwYYJ2dnSLGJxjBIFNTUzRW0VgmLPg+wkZxHD44 g1g7TNQwwnVPstjpTzc3N2ni5uZmSsl2xRwQg3h4eCD+zp079GdFRQWlrKys FKXUzyBSoALM21LbWLUMImrF+pEyCKn6c/tOh0G3FHj79q0RbQwODhZmAirx 9PTMz88Xzj0awSAAo7a6ujr8CTnSRNzdu3f19w/HwYEziLXDdA0DtUwfJi2I 0Fqql5eXNGVLSwulZDMJB8QgtETO9BIMY0op3fjK1ogzMzNZJGOQR48evXjx Anq7rKysra1tenpa9LqqxqplEFEr1o+OQebn56lcmPG0FZkaDn8hSDfg+hnR RjgdeXl5Ir/vnNb1I82/biyDwNGgt2gSEqXQnxCu/v7hODhwBrF2mK5hoFrp S4SNhz/d3d3x+40bN6Qpa2pqRN/s4TAINA+lBJWIUipcB9EFVY01I4OMjo7q rxiDWRiEHaVkO4dht5/7frlcD1S1kbCwsAAnLjs7G0x06dIlev3atWs0qaWf QdiCuxQkLyQbGRkhr+rq1avC4zkchwzOINYO0zUM07epqanr+2fu8JGKlk3X BZqEHTo7HAYZGBiglAEBAaKUJjKIqsaaziBs85Lye1FMly8cN3aIo6mpiSLZ jNDg4KDBOhjBIELMzc2xLb7UcF0MQmsoepbFS0pK6EViwHOSjegchwzOINYO EzXM8PAwO6RAc0TMXhXt8p2ZmaGpiStXrrArQQ6HQfA6GZzQhEJSaG9vp3l4 oxlEVWNNZxC2Os9OoxiEKfJFzQsLC9ntZ8LZoeLiYor08vKSHsRD89PT01m8 8ja2tLTk5eVJM4yPj6cc+vv713UzCG3ZBd3oauni4qK9vf25fYBxpNTPcZjg DGLtUK5hoAxL94HPHCoCJj07FeLn50d7sfD5s0sI8eGPjIwsLS01Nzezpdjc 3FyW8+EwCAAuYHrj9u3bDx48IG3DYByDqGqs6QzC1lZQKNwBGOS1WuipoSr5 wkQHNeTk5CQlJYWGhrLpI8DX11d46Qckws5jorFv3ryBLYHmv337Fu8Se7IW KW9jUVHROe2RT1BzV1cXFD58HIw3Wna5du0akYsuBkElKR6eBVrd09OTn58v 3PmwLjhfD4SEhOjvGY6DBmcQa4dyDaMH3t7ewoNaDQ0NQuUjSmlwU81BMAhy YEcYhEAa+iU7O5slVs4gqhprOoOgFTSTL4S5bjXRBbQOXSfdVQt34MaNG3pe NJpBdIFd7aiLQcBf0rfIbWEA07FHYGT9PcNx0OAMYu1QIjs2Cy0EDEJos+Dg YNHtTwSYx8I7Q85pt/FAhYoU0draGnkxwn+6wdaLGSvJJiOFfP78eZGRub5/ 0BgVEMWjqgkJCT4+PvBBYIu+e/cObaeywBosWVVVFUUKr+bQA4WNlbbLiFag LIpnkN7UIYQR8kVXw4kArcDHhEui575B+AhgB+G8ELUFvgBeZGfPlbdxbGwM cmHn3xnu3bsnvFRTdjwQ4PTRHl3WFtGaEepA7+pffOE4HHAGsXYcqOxgczY3 N1dWVqII2aNhRw7mbph+puwwGzs1NYUKd3R0GJzGP5xvc3p6uq2tDQQ9ODho lq1NyLCzs7O2thY/1f7jAPh98DvgX6Dh0sqAYkjilvZvs35McAaxdvwgsoPV 2t3dLfrnsJOTk3RRyaVLl6TmsW3gB5GvQoDZaeYNfhPfxGsJ4Axi7fhBZAeC OKfd/B8UFJSYmPjixYuoqCh2kazwOKGN4QeRr0Kwm3iTk5OPui4cu+AMYu34 QWRHDCILcIoNm6M/iHwVgparzp8/r/xIJseBgjOIteMHkd3y8nJaWpq/v//N mzft7e3hjECZhIeHs2sPbRU/iHyVYGpqyk0L0Q4ujiMEZxBrB5edbYPLl8OS wRnE2sFlZ9vg8uWwZHAGsXZw2dk2uHw5LBmcQawdXHa2DS5fDksGZxBrB5ed bYPLl8OSwRnE2sFlZ9vg8uWwZHAGsXZw2dk2uHw5LBmcQawdXHa2DS5fDktG HwcHBwcHBwcHBwcHxxHhqP0hDmNAsvvGYaPg8uWwZHAGsXZwDWPb4PLlsGRw BrF2cA1j2+Dy5bBkcAaxdnANY9vg8uWwZHAGsXZwDWPb4PLlsGRwBrF2cA1j 2+Dy5bBkcAaxdnANY9vg8uWwZHAGsXZwDWPb4PLlsGRwBrF2cA1j2+Dy5bBk cAaxdnANY9vg8uU4HGx/2pqZGOttbxkfHvy4uaHwLc4g1g6uYWwbXL4cB42l +bkof09Hu580v/8PBafTJ3KSYr98+WLwXc4g1g6uYWwbXL4cB43+rjawxt0r ZxLDAgszklOiQm6cOoGYgvREg+9yBrF2cA1j2+Dy5ThozE1P1b0p3fn8mcW0 1lWDQXydrxh8lzOItYNrGNsGly/H4aOzuQEM8vjeLYMpVTHIy+fPspOetjXW mVcH5qUlItvW+lrzZvuD4EA1zOfP25sfPqh96+vXr5+2tgwm+7i5sb66YlS9 vsP2py2h+WSw0I3366YXqgs7OztKZo+Vwwj5bn3cNL3cL1920LEHVKjazA8I kNTq8tL2p09HXRELAvpkcnT44W0NGASeiMH0qhjk+p//RrbZyU/NqwOdz/yC bDMSolnM3OyMt+PFew5/pcWGm7cs24PZGWR5caGiICf03u27V844nDwG0dw8 92ug2/X6ynI9uhE6oan6Tdaz6BDPmy5ndwV649R/ZEfg7OREfMgDt4t2bM0u wNWhsfq1WsW7ND+XGBaIQYJMHO1+gsedmRAt5TvQWV9n24u4yIe3HW6d/40K dT79c6i3a1t9jf5CQUxvSwuTIh4h59GBXl3JNjc+lOZmJDz293O2R00QvK6d R/7l+Vnra6ZSpHL59ne1oWM9r51DA29d+D3S727lqzy1xUGxv3yeEHzXGXKB 9NGilKiQ+ZkpsxSqNnNCy7u3gXeup8aEyj4d7uuO8HHXHyBB4Su7Yi0pwIC5 bvdvGg/ul089f/J4aWFOmn9R5nN9mfu6f9w0A18TVpcWy/OymmsrzZWhWrzK SoUQ0SEQaFdLg5JXLJNBpqcmSbJPHt4zb1m2B7MzyIObV9mWDFF47HVL1tqH noTClKavLS8Wpawpf+Vw8jhLIPwdygc0pLCSdW9KwQLSEt3+thOp+unxUV3N QXjxNEJXEagM2ktUqK3qMdCcNFlHU537ldO68nf84zgUrMJGyUKhfBuqyoV7 aVhIjQ5V3qsf1teh3qWZuF78Y3xowMRC1WZOgGsD+kCyR+5Osgloxl5/8LA/ w9JD4fvfuiYUEPsdhAJjQ5R/9MN7+jN/v76msHsN4k1hLjJ8/iTEXBmqRXF2 GojV5ex/UQ180YvzswZfsUwGmZ+bC7vvhpCfnmTesmwPB8Qgfi72hS+SYQ41 VFVAB5JbgZCX+kyUfnx4kKlQqAiYMW31tbAbsxJjetqaRSmJMu5fv/judena ytLHzQ1ogDBvN3q9MCNZSQ3Hhvrpw795/ldYvMh2qLcLWosy8XG6JKQ5YhCU G/vIBwYeLKvulsaXKfEwgym9Lle9qaZyd1jGRe3s7OBTglsB80zksxSkJzJN EuXvWZaX2dncUFdZlp0YG+zhotl3shT1uw4okS808B6BXrSD44PeQPc+unOD Iouz0xWWFf3Qi16JC/ZDt/R1tELcrKu3tj6aUqiqzBdmZ+AmYAih2+ktXQwy MTKUFhOmK9y59KeIQVA6ZQjJos4Q7tTYCDQnjQeIWMQIxCAY/7qKUDJhqxAw olAWvh1zZWgc8PlAfKjJw9sag4ktk0E4lMPsDJKTFNvZXP/161dhJL5oIhEv zQVhPJI9uLlr0WFsVJXki94S4UVcJH28s1MTwvjtT59IUYC8lNSQJmlh/c5O fpdPUeZzyr809wWLXFqYS38avjA7LcoEvsOeGxIXKVtKbnIcnm5u7E2L0Tcl nOiA5mEKEHQjzQFUhXYdAoOkxYaTCT3c180iNz68pyk+1EG/XAirS4vE79CZ QqIER1NH1VeWG12o2szhY4pMfV0MogdwjUm3oFCKgbYnkUkdw5qyIiqovaFW GE8M4nPjktrS1QJfwY1TJ9BL6MODLksJbv+1O521trKsP5nRDNLWWJf7PCHy gUd8iH9RVtriwoLsKzPTU5XFBWlPI8J93BPDH73KShsfGRalkWWQmoqSypKC /u5OFtPb2Y6Yd2/KpKU01lTiUWdLI4sZ6u9FTFVpIX6fHB8ty8+Of+wfE3i/ JDdjdHiQ0iwvL7+rLM+If4K6JUcGV5UUrq2tGewES8Oh7dWJDbxPn5jwvCo+ N4osyTFs6Eb4upM7IF1FJQMVX5DBTDY/fKASU6LEzv7n7W1iIvhEBvP5/Hmb 8okJ8JZNUJGfjacwlelP6Bxt2/cmvaEe2ZxMe+M7XaWgpbClDVZGDwzKF1qR ph1iAsUNQdFUw/4u8eSMFLDDKfHk6LAwHi2lRasQz5tGF6oqcwDJ8tMSKdy9 csY4BiGLxeHkMXA9xTC/CdmKEk+MDNIjOJLCeBMZZGl+DiyZGBaIYZYRHwXn a2psuKGqXOr5wmFHQUF3xc3E5wan/lVm6rOwgMyEJ8hNaDjhd+TW+HZ3fhU0 XV1alBwZhLFaVZy/ODdDaTDUkQP87if+XrCmGqoqlFgUrhf/QH0MTmQZwSBx IQ/Cfe6ILAQvzfmxkSFR+obqSqqGMIAvKgpzhclkGUQamRqza/Pc/uuktGI+ Tpe1g/k+i8lPT97TbLkZlBULGPkDPV09HW33b1wS1S3C9+7q6qoCtW1BODQG IRWKwPQ/xiFNKeP72tkxPNlekJ4ka3ACZLhG+XsazIROPyG8KXopffr8SQg9 XV6Y15/P6GCfRu/UGXKA24XRAqeMCC7hsT97CsObXg/1djVYZ1NgUL6sIRUF OaJHUC/0CN6ZwYIi/Tw02l0T0t0FJHpQP3uktlBVmYsQeu+2EQwyNz1F7ga0 N4vc2vpIq1o+TpdEZkxj9Wuq9thQvzDeFAapLS+WXa3T6rHfRYmzE2OlkgKt EIGKQoinCyUozc2gGFAGm2qmgN6eHh8Fafo6XxG9LvIEwS/gte964+1ub7j+ ddJgG41gEBaggUO8brH9LbFBvsLEcCIo3u1vu/S4SGjyF3FRt7UL/Qhdrc0s 5YEyyJ68Lvz++N5tL82FfRL5hXYZ4Sd0YOCdGzSuEFBt5drbEnA4DPLly47H 1bOa78371eUl6jSYN/DBMVabaytryl91NjcsLy5IM8G3SemhLmCUwmWg+M7m eoqvrRCvvEsx0NVOicvzs6RPma070q9z69SH9XVYgOStwADGn7pSDvV209eH 4ZEUEcRmtABUVWPIATELDMqXTcdJV4EB2m6kZ8MAA80NMtUkBBxMKoJtLVNb qKrMRTCOQZ4G+Wi0U50iKxpWChXn52IPBUuRYBPUTaM9ly2yz4lBoDrWVpbh UGDMK9yZwEYIegMmN3oDXAmdrItBQGqIBzWzGHxNmv3l/jBvt7TYcOQDXqAv iNIwBqGA/CN83L0dL+4ruv/S5CF+Brg5Bnu40GFzzferLYnhgRqt+wOvDRQG V4XSwLsx2EzjGCQ+xH9qYpwiZ6anqMLQxktLixS5MD9/59Ipba2c52ZnWA4z U5Pul3fj0RwWeaAMctf+DFwhNj2VEBqwr8SOPY8OZXWDS3Jdu6sExpLBfrAo HA6D1FWWUb/BIGeR0NIUGXjnusjZxJjHsJQq56qSfLZ7B9ob1PO2tJAUDvxr Jcc62CxWXLCf9Om713t2S3drk/RpeV6WcB8OvrXpiVHDJW58kFYM/UCZiNZi zA6D8oWhq5Ezngm0ORPq1GBB9GHKuoFstYKpXLWFqspcBCMYhI3MjPgo0aOV pQXa3MXGAPQk7eXwvHqOzXcxSPdiYQCjMvBZ9AzX9+tr1Ake9mcmRgZZPFx1 +ERSBoHDq9Gu4zPXAKOOtgHg53B/D0v5aWur8EUy1CP9yRgElYflxugvJSqE KbrMhCdslzvMPPrchJO3TTWVoh2YMBcVLugbwSDpTyNE8UVZe4bfUH+vMAbp J8dHRYlLX2ZSu5aXlijmQBlkYX5OmLK3c28OJC8tUZRJkHZa29fpisF+sCgc AoPMTk2Qg4yf+ABZPLORNPtes5+zPXP0tDbnTeZoMFQU5Ig+SaIP5fWhKS8E 8IUwfuvjJj4Wje6Z/2ehD//5RuzPgM6UH0UUgUxZDOPPn8UNNC8Mype5XbJc Rp5j8F1n/aVA8+haYv4mWNfu7WgxolC1mYtgBIPQRjjn0z/LHln9uLlJ9q0w OJ0+ITvzqWc3b0ygt66ZNzjIlKatvkb0iGarRAxCjCycJmXUQGscIjBGYMlE x1LGh/eWdaSb4miPunTXCjgLBDrY3bm8uKBkoYRglr1YjTV7mqS9qZ5i4KRo tPZ/U+1bUXiZ+kxENwfKIKJ1jdmZac3e7PdzUSYJWvXi9redwX6wKBw0g8Bt v+ewRwrNtVXCR2Uv90ZvUkSQcB4VWuXhbQfN/gSX8JWasiIygXJT4jLiomi/ B6nivNQEhdq4r7ONbeOHYsl6Fp2VGAObSjgPPDc9KX2xvaG2ID0xLTYcTEfJ 8Itwbko5Ht/b/QzRFvOeQJfCoHxhkVJbZI/m0WSdQQaBbUyZPAsLkD6FlS5S 8qoKVZu5CGoZpL3xHWVYkJ4kfYrxHHTXSbO7pfzvN0UvYeSwMePjdAmKV5Qe Yx4cN9TbNTMxBo8VYw8UQLsINHKb2wnkAsDLlqpiWQahOTd4+iwGfaXRHpbR P8AYg4iSbbxfp3j43eK6RQZrtK6NnmyVwywM0qG9RGWXcPcvPHno6qCLuFlo bXhHiQ+TQeD46GKQlCePSWQG+8GiYFDDQGnje9cT3pYW6noXJhw+NOoxjFXR 06KMFHrEdn0w4Du9eX53wjbwznUWSbubEGrKX1EMPJT6ynK4AxQf4euucNzi LdEGCS0NHWdTZAavqqgu3du9Kd3TpQRpMWG62m5eGJRvVXE+1US0GEqg2cUn /l4GCyI2jw28L33Etlexo39qC1WVuQiqGARs5aPdIYMSpf/kAoY6zafBAn+/ tkqRc9NTtBCg0c6+DvZ0GiwFrabhB3dYNgGdi5Gts5RBUGda3VhbWWKRZIMZ bLUuBsGXpYtBYLmRqaw/Z4UwC4N0tjaJGOSuViegW6IeeOoKg73dlPgwGWRl ZVkXgzzXHkmzPQah8xp6gq4bOOHU++xvV3uVmSpNwKxH4YkAhgif3b27N079 h7Zp4SdtuoCBKkq58eE92y4im5UsYGVVFOSkxoTGBHqnRofCIYIyJ1tOoX1F HylUisIShXhduDcX193SaMTrymFQvuxQtnC2nIFWTpUcc/bVfkSQmvRRWV4m FcE2SKgtVFXmIqhiEHasQ7pJ7JtgBlW6RsxWdsJ97igpKOHx3oyo7MVxZHfJ ZiVlkKHebo1kWonMKoO7E3UxyM7nz7oYhGZ6LZxBgj12fUM/F3slOlAVg8B/ lObAGUSPiNOfhoffd9MTZG8cmpkcZ9sIdd10BO2x/z1WSJ+SG45Ah3bnZ6bo T9l9QUyNQAMoGbeywFeD70Khyf1NsCxixERWT9vemE+LVbGCYwQMyhc2s0bH hPna/mjXNdkiBN1Lc8/hgvQRHR5EYNOMagtVlbm4YooZZGvrIzuELl2A+yYY k9J9X7BwaG5KofnxMiVeo3sej8wnP2d76SMpg9DNBqL5Xmq1wTO2tsogNA2I 9LMz0wazVcggL+J3nS+Hk8ekRzY4g5hlMDAMdHeQv+Bo95PsZVAEfIbUmVmJ MdKntGDHLpRYmN1bgYITLU3cXFu1z1YypzwUgn1NMOqUpN9bbz3zixFrGfCA aJoOA1K42UYKEzdrGZQvNDZtTYcjJnrEelXJtkwwOyUWbpYgkCsqdB7VFqoq cxGUMwg8ZSrl3etS2QS0D0qj4zIrqonn1XMGC/q2f8D2ut2/ZTdj0CSnw8nj UsdKyiABbo4ayd4PGH4arQuv/94tW2UQdhgk9pGPNB+o8cqSAvanQgahTVwa wXo9obeznY6ZcAYxC+ory2mxGxrS4FnmAO2CFwbG3PR3ltj0+ChtRGdnlr9+ /UqTveAU6QQ120MlXMqsLi2CKYIw1NtlsNqD3Z00eRLm7SaM72ppWJiVWapA nqQDZQ8pKAGbMIGpKbtw/wGmVGSw8+mfjcufoES+dF7P7aKd0LRGh9M9Sy5n fxHeOrW2skS9mpP8VJgJOyQoOtTGPE3RTKaqQtVmLoRCBllf3bvDxMfpkq4j G2zuEb+IHqFbSL8JNyFPT4zK7jGeGBmivRwY/7IFdTTunZeJD3nAfCt0TlNN JW0DYwzyfm1Vo902JnLB2P55MI4oc5AFo0hbZRAgRGuC7n7R9916OtqWl5eh vfu6OsrysmjDJzujoZBBQByUobfjxa7W5unJiZa6msSIR6QHOIOYBWODe4f+ 6CvraWuSBuHUN9MMsN/YpbhwAWjDLZhI+AGSWaXRzoevLu8tGmLk11YUkxD9 b10TVuZpkK9Gx9TWQFf7+NDA5+3df18y3NedofVPSXGhCcKUsGHAZfiQ2xvf zc9MQbesLi1W5Gezk7Bt9bXfjAIUAu3q0dqKJ4qz09ADWx83lxbmOprqijJS 6PjYIdyLxVYl4Pehw1Ex6EM4hhQpmqWEVqR46XQNrUZBFlBQdAoGoqR5od3t 99+b06oKVZv5zs4O0lCg22Ogq1mMLEEwN0d0sZUQsCVIscC2F86/QWTsJkzh whatm0Q98EBjZ6cmUCvQ5dvSQraHUM8qGNuOeP/6RfA1RiC7JVLIIHQWPvqh eN4VbQzY348Et512GoOUW969Rbz0RKHtMcjo8KCX5p8ewyBx/OO7i6DVMsj6 /pENUWDZcgYxHQPdHdIeFgXYeMJX2H2JGu2RKLbRUSOZktr+tMUOLkGvhnje xIdD/1qChrToHzToYRB2e4kwQEdJfQEwiJ62qDqHIgV0JrvrVVfwuHrWlCKU yBeajS3sarQGrVBYIuWsh0Gg0mlqTvvBHmfnl2UVkapC1WbOLHDZID3sxu4w eXTnhv6+YreXaLQ7qaIf3gN3sLPShS++u+JG9uwSC/pP+mMo0jFzYYDLRpFM gSdFPMKfVSX50hzg6TCq0mitFIE6tUoGoas/clLiRfFd2jvBNJL5peWlpZfP n7GbTPbbfiz0nuubV/ksGemczGcxwndlIyfHRx9rXVoW4NsO7F89IbxWpUC7 0VS6aLKysjd1X5SZKmoFrdT/4OdB2AqpniDdu4XvXTjUSYfILkbAiCrMSGY3 q2v2bIDjsLKkB9jZTVzS/zMiZBBHu58e3LwG61d0Qzihv6sNSl5UolZ7XOho rDOhq/4BDNEAN0fhB67RzuyFebvVV5ab+C/wFMoXLsDLlHjhiRh0C4xn6UWv M5PjlEB2E9rMxJifi/13Su9vu6bqNyYWqjZz9JueESi9lpBtx4VzarCv4LSy W+j/GbE3Lkn/p9LU2PCz0IdCo4iC59VzSgbPx81NeLvgWfiqSRFB5flZ6Bl4 ZxrtpRzfBBdLyk60fqOJ0KgQ0dAK8XRha0y0BQWKTswg+2dwUAFRnlnPojW7 9oMxWxClUMUgRmN2ZrqrtbmlrmZ4oH95edmUrOC5jAwO1Fe9bq6rFt6X8sPi IFbSjQAG8PzMFD6rnrYmNkOlC5+2tvBtttXXwCAcG+qXLosYxPu11d72FmiS 8eFB2V03IuCDgoMDfmyurYSfZbCGRgDaAEX0drSgYpOjw+b636mq5Is6zE5N oFtGB/tMqcDmxgcwL6Spa4etKYWqyvzgsLK0ALqB8dPd2rQ4N6NnNwXs+YXZ 6cHuvcFj4r9mpjOMdDyfblHIS03Q/wrqtjg/29fRCq/EiI/lQHE4DMJxcLAQ BuE4IHD5Wimg6qUXVvfsT9fI3gtqjeAMYu3gGsa2weVrpSjKSLl1/reEx/6v MlMbqsqrivNTIoNpx4iH/Rnpv8ixUnAGsXZwDWPb4PK1UrA7f0ThzqVTSv7h l7WAM4i1g2sY2waXr5VipL83NTo0wNUBHofL2f96O16M8vcszEi2tIUME8EZ xNrBNYxtg8uXw5LBGcTawTWMbYPLl8OSwRnE2sE1jG2Dy5fDksEZxNrBNYxt g8uXw5LBGcTawTWMbYPLl8OSwRnE2sE1jG2Dy5fDksEZxNrBNYxtg8uXw5LB GcTawTWMbYPLl8OSwRnE2sE1jG2Dy5fDktHHwcHBwcHBwcHBwcFxRDjq+RgO Y0CyO2pfluOgwOXLYcngDGLt4BrGtsHly2HJ4Axi7eAaxrbB5cthyeAMYu3g Gsa2weXLYcngDGLt4BrGtsHly2HJ4Axi7eAaxrbB5cthyeAMYu3gGsa2weXL YcngDGLt4BrGtsHly2HJ4Axi7eAaxrbB5cthyeAMYu3gGsa2weXLYTS2P23N TIz1treMDw9+3Nw4iCI4g1g7uIaxbXD5chiBpfm5KH9PR7ufNL//DwWn0ydy kmK/fPli3oI4g1g7uIaxbXD5chiB/q42sMbdK2cSwwILM5JTokJunDqBmIL0 RPMWxBnE2sE1jG2Dy5fDCMxNT9W9Kd35/JnFtNZVg0F8na+YtyDOINYOrmFs G1y+HGZBZ3MDGOTxvVvmzZYziLXjQDXM58/bmx8+HFDmDNufPn3e3jb69S9f drY/bSlM/HFzY311xeiyDGJnZ8e8U81GyHfr46bp5arqVbWFqsocKYW2tHlr Ypa+snBgQE6ODj+8rQGDwBMxb+acQawdZmeQ5cWFioKc0Hu3714543DyGEbd zXO/Brpdr68sV6Ib11aWoh96Rfi4l+Vl6kk2OzlR9jIjPuTBPYe/aKUvwM1R VT2hWF4+Twi+6+x0+gTq6edsnxIVMj8zpas4lOV20Y6tKga4OjRWv9bfIiiu t6WFSRGPMhOiRwd6dSXb3PhQmpuR8NgfdXC0+wnB69r5UG/X8vys9TVT2Uq5 fPu72tBGz2vn0MBbF36P9Ltb+SpPbXGqelVtoaoyX5qfSwwLpOGBLvV1vgIp 6LFnVNXELH2lBKtLi+V5Wc21lQeRuRK8ykpFA9FMNLarpcHs+XMGsXaYnUEe 3LzK9m+IwmOvW/qtwa2tj9DMlPhZWICuZA1V5bSuJwzul08pr+SH9XUoImkN XS/+MT40IEpcU/7K4eRxlkb4O1QH7GHZIhCP9iLNjVP/0b51DIwjTdbRVOd+ 5bSuHnP84zg0lfJ2SaFQvuhS4cYbFlKjQ3U1UApVvaq2UFWZ170pdT79szSx 2992slSuqiZm6SuFeFOYi5yfPwkxb7bKUZydBvJ1OftfVANWzeL8rHnz5wxi 7TggBvFzsS98kQzbqaGqAjrQ5ewv9JXlpT7T9SLs+ZhAb/Y9yjLI169fXzyN oATOZ355ERcJ9d7Z3FBVkp8aE6q8knBzKJO4YD845n0dragY1PWux3T+VxAZ Szk+PEiUcf/6xXevS+EifdzcwCth3m6UQ2FGsmwRTTWVeJoRF7Wzs4PvDm4F bDmRz1KQnsjaG+XvCbcLbamrLMtOjA32cGH+jvJ2SaFEvtDAewr2oh0cn6He LrT00Z0bFFmcna6wLOW9akShyjMfG+pn8XANIEFkDvVOr/s4XRKZMapqYq6+ UgiYKMi25d1b82arFugxNA01eXhbY96cOYNYO8zOIDlJsZ3N9VD1wsiF2Rki ES/NBV0vQm2S1a2HQdobaukpFKzR5tDq0iKRQvTDe0KVDm1DmddXlrNIkBRF zk5NCDPZ/vQJpIB4MKZsKbnJcXi6ubE3bUIf4NLCHEswNTbCFB3oRppDd0sj ijgEBkmLDUc1rtv9e7ivm0VufHhPU0Cog0iaslDVq2oLVZU5zdjDTZid/E5k RZnPKXFp7guja2KWvlIIjDH42mg48jdXnqbg9l+701lrK8tmzFMVg1SXvaos KRjo6cLvbY11uc8TIh94xIf4F2WlLS4syL4yMz1VWVyQ9jQi3Mc9MfzRq6y0 8ZFh2ZTDA/0luRnPwgIjfO9mPouuqShZXl42Sx1sG4e2Vyc28D59v7KHW9+W FNBT+BQeV8/KMgi+Tf9b12guwpRvCo45lTU5OizKn1Y6QjxvssgIX3eNduZK unRLVjG+cdlSKvKz8RSmMv0JR0zb9k1WFpuTaW98p6uqKBQ9Y0QbGQzK99PW Fs1RwAEUPWJC6e9qM1iQql5VW6jyzDc/fKCUKVHimZ/P29tE+u5XThtXE7P0 1dL8HIgvMSwwJsA7Iz4K/tTU2HBDVbl0kbqnrRkZBt11EsXjC2qrr32VmYpv JDPhCXITciV+R26Nb3enTMG81aVFyZFBGH5VxfmLczN7XfF5Gzm8TIl/4u+V /jS8oapCCfG5XvwD9THvRJYqBrn+5793ndCQB+E+d0RTiF6a82MjQ6L0DdWV VGdhcD7zS0VhrigluIMyFwY/F/vhAXGt1NbB5nFoDEIqFEGqimFsk4WZmxKH P3UxCDQt5UBfh9GI9PPQaNf3pevgVElUhj0qSE+SNaEBMjuj/D1lS1lemIfb BYUDp4y4JuGxP3sKC5ayDfV2NaUtBmFQvqODfVSTioIc0SPoInoE691gQap6 VW2hyjOno3AIb4peSiv5/EkIPYV0jKiJ6X1VW14su0CDAAtflJi8clGGoJW7 V85IXw/xdKEEpbkZFAPKYLPHFNCB0+Oj40MDvs5XRK+LnDvwC3hNWC4+OiRz /eukntYZASMYhIX7Ny6FeN26df43+jM2yFeYGE6EZn/xKz0uEhzxIi7qtnZX AEJXazNLWfAieU8EF36Pf+yfkRBNK5gI+H6npyaNrsOPgMNhkC9fdogXhOYf AQOVxvnTIF8yhHQxSGpMKOmKrY+b0AC97S1wWOrelA52d6pawaRZDvbFCVGS k04jgW2CGhvqpxiUC0uYbRvubK6n+NqKYl0FDfV206d649R/kiKC2IwWgLc0 hhwQs8CgfDua6qgmfZ0yxvN1u93v5cXTCIMFqepVtYUqz3ygq53+LM/PkiZm vsxIf68RNTGxr5jQkRIWLFKC/qCTdTGIj9MlxIO2WExzbSUldvzjeJi3W1ps OPIBL9D4pDSMQSgg/wgfd2/Hi0wlkrWGnwFujsEeLmxTinC1JTE8UKN1f17E RYLC4KpQGng3ulpnHIxjkPgQ/6mJcYqcmZ6i1jmcPLa0tEiRC/Pzdy6d0jbB eW52huUwMzXpfnk3Hm2nGBAE6R98qpPjoyxlVUkhlZUUGWxcHX4QHA6D1FWW UbfDIBfGry4vkUEVeOc68010MQhNKCGwX1jw0lxQvlOdhpCs78Dm1WGqsciq kny298btoh18/7elhaQu0p+GGzxrAOKQpkE/UIaiuXqzw6B8YRVTTcCV0qe0 k/NpkI/BglT1qtpClWfOZrHigv2kid+93rNLu1ubjKiJKX31fn2NEnjYn5kY GWTxOzs7iWGBUgaBjaTRbhVmrgEG0p1LfyISP4f7e1jKT1tbhS+Snc/8Qn8y BvG8eq6zuYFNT6VEhezbQscyE56wjc1wSWgwxwT8MzXXVFMp2lSJr/IgFvSN YJD0pxGi+KKsPcNgqL9XGIP0QlIglL7MpE5YXlrCn7nPE+jdtsZ3opTk+SLl 7My0EXX4QXAIDDI7NUEsj58rSwssfmvr48PbDjTUhcf0dDHI/et/s/EMCwpv +Tnb07w0CRrfi8HK4IOi9WvZXbLwaCi33o4WYXxFQY6Is4g+1HWEAFCGVOfP n40/C6kEBuXLzHJZLiNZBN911l+K2l5VVajazNkRIfCFMCVcV2hOzferFapq YkpfwSfa01T1NaJHNFslYhBiK+HMJ6MG2VlcxggsGVt0I4wPD1K8dMMYTdpI 94SAs6bGRuDjLy8umHGHgBBGMEh28lNRfGPNnmvW3lRPMXAQ8Odd+zNNtW9F 4WXqM6Gqj9Guz7pfPi0trq6ynFJ2tf0z5aW8Dj8IDppB4GXcc7hAfdtcW8Xi YVlFP7yn0c7NzkyMCV/RxSDkbsOEq60oht1FkZ+3t2nPPILz6Z9h6emvD0w+ Siy71wtOupRBasqKyEjLTYnLiIuiHSmk//NSE4yjgMf3dr9ZZGv2y05FMCjf wv1JYNmjebT0bJBB1PaqqkLVZt7X2cZ29D1yd8p6Fp2VGAMDW7goMDc9aURN TOkrcgHgw0pVsSyDwJdBJJx3FoPma7TnX/SPGcYgomQb79cpvjxPPL+XEhms 0bo2erI9IJiFQTq0N65o/Yg6inm4f6xMT2ht2HU6Hty8ph0nN6TF9XbuzYhW lRQaUYcfBAY1DPQnPhw94W1poa534VkwxwEDW/iILSW31lXDfBIGmrLAF0R/ 0ocANULzt0kRj6QFQbdrvp+d0AOigNjA+9JHbEcNO6RGW6o02k1iFAPOqq8s B5Fp9qfUDJYoRVpMGL3OtsccEAzKt6o4n2oiWjkl0FaWJ/5eBgtS1atqC1WV OQABOZ/5bhFZy/jH2Wzk9qdPRtTElL6iMyNgNOkjKYNgtNPqxtrKEoskh102 ByF0MQjGrS4GgV2k0a4468/5IGAWBulsbRJp77vazxN9GPXAU1cY7O1GSg/7 XXs13MddWhyclD3d9TLTiDr8IDCoYYij9QRd13UuL8z73LhEaV5lpoqeDvV2 GzQSKLCN92TjhfvckZY13N+j2fPQ0wwOWl+ny7ua30dG85flZVI+cNu/aT9k 2mWBokUpNz68ZxtahEcDFOJ14d60WHdLo9p3VcGgfOnO1d1WCKbWGcjvU3Im WnmvGlGoqswJMLkrCnJSY0JjAr1To0PLXmaArMmwFxrbqmpiSl+RKSU7eqUM Ql+HaFqJjBZde/8YdDHIzufPuhiEJvdsiUGCPW5qtNtxDeZJR3dlUzK3oq6q wog6/CAwqGHSn4aH33fTE2QPg89MjrM9h7JXBilnEKSkV6BANDrOJC7MTlNi fIwGB22otytS3nOQyYfOiyHQ3NT8zBT9KbvBhukuuGkGCxWhp21vvKFEte+q gkH5DvZ0anTMrq+tLNMjPTcJMCjvVSMKVZW5LkCFQklqvncTVNXElL6i0evn bC99JGUQuqzgZUq8MFnovdtSWpGCMwhAc4ZIL1wEl0Vi+CPN7iGRnxfm50WP inNeULbkraitww+Cg1gHGejuINPd0e4n2cugvmn3966vrsgG2oYXG3if/mQ7 dek+E8c/jksXO9geztpynXtrGdi9KMJlfQI5TczjYMQEN1+aT3Nt1T5Fyhw9 0A9YyDfP0ybMY8KdOVKYuFnLoHyh+ugCTBjqokesgUr2cCrvVSMKVZW5LjDV ymwStTUxpa9o3tLh5HGRr/RNjkEC3Bw1ksOJsOU02p3h+hf7OIOsCw6DxD7y keazsrJcWVJAv1fuz4IWZj7/Ps0KLciiW2jXlto6/CAwO4PUV5bTujM0pJKz zFLoWknv3HcqUyKDRY/YcUXhBHV1aRFMEYSh3i5hYnYuTHRWi02FsTm3r1+/ 0nS0h/0Z6VF6trFnfFgfBegCPBd6HXYpW9gV4gNMqchg59M/G5E5gxL50q5F t4t2wquA0Xa6lMnl7C/CW6fWVpaoV3OSnwozUd6rRhSqNnMpBrs7aZYpzNvN lOarSixER+PeWRKMVeYu4cWmmkoymRiDvF9b1Wi3hYi8KrYlXupogyzevS6l 3zmDEEL2TwWG3Xfr6WhbXl4GcfR1dZTlZXlpdvf2rK2tIdnq6qqv0xWtafoT HtFNJpPjo+x10QF2ziAimJdBxgb3zt8hvC7M6WlrkgbZOWQhdDHIt/1NsBrt XAFtx9r6uAlVxr5NYeKnQb4aHbNMtIQBexLfHZ3XgF1Km+13N4oLrEQy/DTa SfjV5b1lTXybtRXFZI7637pmREd902qPoLtOlDmUW3F22uhAL5qztDDX0VRX lJFCZ80O4V4sNr3/2OvW9PgoKgaayEqMoUjRLOX0xCjFS7fuKO9VtYWqzRw+ 6fjQwOft3X9PM9zXnREfRdlCw2OImtJ8tdUWgpbCNdpbOkHBGK60tEeBMQjc ds3uIXHxijyccXZzNZxiOlYPwmp59xbx0hOFPziDjA4Pemn+6V4MEnAE+5Mx yO7rLY3sUMB1u59oqpNCqLcrKMboOvwIMC+DDHR3CGUkG3ycLunPRA+DaG9o ZAdAjrtfPkVqHMHb8eLG+3VhYj0MAuVDk0iUj/CueNH3tf1pix2tgjIP8byJ T5v+MQR9dMLLEtUCyicu2E9/d6E3jM7/mzIG2dnZSXj8kJUovHYDwhIpZz0M orxX1RaqNnN2e4kwgINkfT1VNVFbbSFQOh0zFwa4MxTJFHhSxO7MfFVJvjSH iZEhtplcozU8BBrS9hmE/lFCTkq8KL5Le4GYRnIWY3lp6eXzZ+wmE0Ylofdc 37zKF6YcHxkO+v5/BzidOpGfniyiDyPqYPMwL4OwpUY9weC/Wib9nBgeKPt0 ZWkhJsBbmKHjH8dzkmLZCREGNrUluzgyMzHm52L/3bf8t11T9RtpSph5hRnJ oA9RobADP6yvS9OrRXdLY4Cbo+g/nsDUCfN2q68sZ/tOjYNC+cKWfpkSLzwx 4Wj3U9QDD+kNljOT45RA9h+yKO9VVYWqzVzIIMjzwc1rcBN0zS+prYnaagvx cXOzIj8bHAT3MykiqDw/C2/RdT30L9LYXZEwlmRz+KBdJhaNlhBPF7b+Qhs8 oCfFDLJ/rAYVEOWZ9Sxas2sSqPgPO+aCKgYxGrMz012tzS11NcMD/bI37hLm 52ah/2tflw7190q5g0MWB7GSfgig2Qn477DKTPkXt5sbH/q72joa6/Rbj9+0 d0dMjQ231dc0Vr8eG+qXvWHYFEB1wJ3p7WjpbW+ZHB02kTgYVMkXdZidmmit qx4d7DOlAsp71YhClWT+fm0V3Yg8x4cHlQ8PVTUxV18BcGw1+3OwdHA+LzVB /ytgh8X52b6OVox/sw/Fw8ThMAjHwcFKGYRDIbh8LQdQ9XAERJE9+7MfsldB 2jw4g1g7uIaxbXD5Wg6KMlJunf8t4bH/q8zUhqryquL8lMhgWsjzsD8j/a8H PwI4g1g7uIaxbXD5Wg7AILIrg3cunTJu37sNgDOItYNrGNsGl6/lYKS/NzU6 NMDVAR6Hy9n/ejtejPL3LMxItuqFDBPBGcTawTWMbYPLl8OSwRnE2sE1jG2D y5fDksEZxNrBNYxtg8uXw5LBGcTawTWMbYPLl8OSwRnE2sE1jG2Dy5fDksEZ xNrBNYxtg8uXw5LBGcTawTWMbYPLl8OSwRnE2sE1jG2Dy5fDksEZxNrBNYxt g8uXw5LRx8HBwcHBwcHBwcHBcUQ46vkYDmNAsjtqX5bjoMDly2HJ4Axi7eAa xrbB5cthyeAMYu3gGsa2weXLYcngDGLt4BrGtsHly2HJ4Axi7eAaxrbB5cth yeAMYu3gGsa2weXLYcngDGLt4BrGtsHly2HJ4Axi7eAaxrbB5cthyeAMYu3g Gsa2weXLYcngDGLt4BrGtsHly2E0tj9tzUyM9ba3jA8PftzcOIgiOINYO7iG sW1w+XIYgaX5uSh/T0e7nzS//w8Fp9MncpJiv3z5Yt6COINYO7iGsW1w+XIY gf6uNrDG3StnEsMCCzOSU6JCbpw6gZiC9ETzFsQZxNrBNYxtg8uXwwjMTU/V vSnd+fyZxbTWVYNBfJ2vmLcgziDWDq5hbBtcvhxmQWdzAxjk8b1b5s2WM4i1 w3I0zJcvX1aXl7Y/fTrkcj9ubqyvrhxc/js7O2afPVYOI+S79XHT9HK/fNnZ /rR1yIWajqMahJYM9Mnk6PDD2xowCDwR82bOGcTacaAM8vXr1wgf98A718eG +nWlgaf8tqQA3vF1u3/Tmp375VPPnzxeWpiTJi7KfI4MdQZf94+bShXR7ORE fMgDt4t2bKEwwNWhsfq1fm2/W9vSwqSIR5kJ0aMDvbqSbW58KM3NSHjs7+ds 72j3E4LXtfOh3q7l+VnrawfIVlIol29/Vxs6xPPaOfTGrQu/R/rdrXyVp7Y4 sMbL5wnBd53Rnw4nj6H5KVEh8zNT5i205d1bDKrUmFDZp2kxYfoGiTb0drQI X1E1CEVYW1mKfuiFPMvyMg0mVovVpcXyvKzm2kqz56wQr7JSIRd0CGTU1dJg 9vw5g1g7DpRBaO4UoaetWTYBFL7/rWtsv4fjH8fZ7/iW+zrbROmjH95jCWTD +/U1JRWrKX/lcPKfsoS/Q4nBfpZ9C/GPvW4hzY1T/9G+dQyMI03W0VTnfuW0 rhqijdCZSippFiiUb0NVuXDjDQup0aG6ekOKD+vr4A5pJq4X/xgfGjBXofBW QB9I9sjdSTaBr9Nl/YME4d3rUpZe7SD8rjJbH2F4UOJnYQEKO0o53hTmIufn T0LMnrNCFGengVhdzv4X1YAJtDg/a978OYNYOw6CQWAilr3MgLZnmlkXg8QF +1GCjLiood6unZ2dqbERDFpYsGSUihiBGMTl7C+wM2XDpy3DMyfjw4NUsfvX L0KTwIb8uLkBsgvzdqPKFGYky77YVFNJVUU98SnBrUANRT5LQXoi0z9R/p6w SzubG+oqy7ITY4M9XJi/o7gvTYUS+UK9U8XgkcFLgiDQLY/u3KDI4ux0hWXB FKdXIFb0Z19Ha17qM1LIN8//CmVrSqELszNwE7ISY9DtlEYXg7zKTNU1PMDd UgZROwgZIPqYQG8m7oNgENgzyBkflNlzVgX4aJAIavLwtsa8OXMGsXYcBIN4 XD0rMvlkGQTantSL1CavKSuiF9sbaoXxxCA+Ny6ZUr0XcZGU+ezUhDB++9Mn 0k4Pbl6VfTE3OQ5PNzc+0J/0TQknOqB5mMIE3Uhz6G5pRBGWxiBpseFkbw/3 dbPIjQ/v7zn8hXhU+OvXrwYLWl1aJF6GjISsWvkqj3q7vrLclELr3pSKBpUu BtGD3JQ4ehdWBMUYMQgZYBUIfRazMwgG5I1TJ9Cr6Bbz5mwcbv+1O521trJs xjxVMcjYyFB12avs5KdJkcHRAd7o8KzE2LqqitXVVVFKJKssKRjo6aI/R4cH a1+X1lSUjI8MszRra2v1b19nxD8Ju38nyt8rJyUe+b/Vvjgy2C/KcGVl5V1l OYqL9PNICH1YnJM+0NstraGw3LbGutznCZEPPOJD/Iuy0hYXFlRpZmvBQTBI RX52floiwrPQh3oYhFmhSCl6NDEySI9Ec8tmYZAIX3eNduZKutRLVjQ+W9kX 0S48hWlNf5JBy1ZeoPHYHE574ztdpaNQ2NKm1F8VDMoXKpTmKGBOix6hntSc /i59MzkEGO2UeHJ0WBiPbqHFphDPm6YUimxpUCHcvXLGCAZZXpin6cenQb4s 0ohBKKpnTfkrMpkUMsjS/BxYNTEsMCbAOyM+Cs7a1NhwQ1W5dJEaXw2yDbor biZc5rb6WrhaKDEz4Qlym538xxbC78it8e3u/Cpovbq0KDkyCGO1qjh/cW6G 0nz+vI0cXqbEP/H3Sn8a3lBVocRIcL34B+pj3oksVQwCicvOSaL/h/p7hSmv /7m7ngWuaWt856W5wFLmpydRgomxUQxI2dwQSnIzhLmBWQLcHEVpYDnkpyeL yIvKjQt5EO5zR5TeS3Me+ZissC0OB7oOMtjdqYdBtrY+0hft43RJpMwbq1/T i6IleLMwSEF6kqxVDJABHOXvKfsiVJDL2V+g+nKSYolrEh77s6ewpSnbUG9X U6pnXhiU7+hgH1W7oiBH9Ai6iB4VZT43WBBss13n69yv0q0IRLWgbPbIxEJD 7902gkGSIoKoGnPTkyzSiEH4TetLksMFp+bbvtOthEFqy4udT/8sq7Vg4YsS k48j6gd8SkSgohDi6UIJSnMzKAaUgeEqTAPpTI+PgjR9na+IXhd5juAX8Np3 vfF2tzdc/zppsI2qYASDoLdh2KdEhTwLC/R2vLivny8sLS6ylKTJ0V5RM4lB lpYWPffnQvFLXPCDxPBHQo4QMsj83BxRp5bNnV/ER6Fct7/3duBkPosR1pDK ZeH+jUshXrdunf+N/owN8jWf5rYUHCGDANDVlMDPxR5jmyLxIeNz0GiPxIpM I2IQjBa40rDlVpeXlK/zMkAhUKFQArCcP29vU3xncz3F11YU63p3qLebvj6o HWgkNqMF4C2NIQfk8GFQvh1NdVRt2SVj2pv04mmEwYJotyfTY0KU5KRTEWwf momFGsEg0IcOJ49ptMv0okdqByGyIs0MX4YeKWQQNkLQQNioaCC4FTpZF4OA 1BAPtmUxzbWVzAAO83ZLiw1HPqQnMZgpDWMQCsg/wsedaVrYP8R9+AmdGezh QofNNd+vtiSGB2oVptOLuEhQGFwVSgPvRnmfK4EqBmmorhyUzB1lxD+hunU0 N7JIpsmdTp+Akm+uqx4fGe7paB0dGsDTnOS9yUx04MrKMnsLjoyUQTKfRVNk 6ctMFjkzNUmMg4KEM2Os3PgQ/6mJ8b3E01PU/xiBIC91CtricbQMsrK0QPtq KGCoY4jSirbn1XNTYyOi9NK9WI52P0GTwFwUnp81iKqSfLYLyO2iHdz5t6WF pLjg1BvMCsQhTQPHhDIUTikcOQzKF1axRoelDdBOzqdBPgYLcr98SqPDfWNL IUw/m1ioEQxCS9LgfQw50SNVgxBGC7kAeIX5LEoY5P36GrXLw/7MxMggi9/Z 2UkMC5QyCBxejXYdn7kGGHV3Lv2JSPwc7u9hKT9tbRW+SHY+8wv9yRgEle9s bmD0B6N933A6lpnwZPPDnvEDl4RGfkzAPzOKTTWVD25eFX5oaONBLOibvpIO Rb2n4fOyWCRp8gBXR6F6J6ytraGv8NTX6Qp+Fz6CuyFikOXl5Rt//oe8D1E+ vZ3tezT0NEJUbroghlCUtTfHK5ptswEcLYN80+6lvHPplIgXYDngC5Im1rOb NybQW9XBvYqCHGkmoA9j2qkFmbL4PD9/3jY6E7PDoHzZ+oUs8ZFuDL7rrL8U qCld69HfBIvg7BSGiYWqZZC+jlYqLjc5TjaBwkG4tfXx4W0HUs7CU6hKGKQ8 P4uybauvET2i2SoRgxDJCqdJGTXQGocIjBFYMtHZqPHhvWUd6T432qMu3UAC zgKB4iteXlxQslBiBNQyCHQ+3BC4A3HBD1BtuI1kuiDkpSWyZGwdRJrD+OiI lHEIUgZhXsnrojxpVuAgjXbW2mC5jTV7zmN7U72SZloRjpZBYNHBU9bsbqz9 +03RS+HaFlx4tmGGobm2CupoqLdrZmJsemK0r7MNXx+tye4OodRnCitWU1ZE dlduSlxGXBRtMiH9n5eaYBwFPL63+xki2yM8gS6FQfnCfKW2y577o81pBhkE hjRlIqtFYdKLGMTEQlUxCFQfzbDdPPfrxvt1aQKFgxBiJQMG+WD4CXNQwiDk AsDhlapiWQaBC4bIusoyFoP8NdrDNfoHGGMQUTK0neLL87LEdYsMJtdGT7YH BFUMAn3OpuOkQSGDNNW+pfTN76pFj6QM0lC9p/lb62ulWUX43t0zJwyV26G9 E2bXfmisM9hM64JBDQNli+9dT3hbWqjrXf0MAhuJ7AcYP+/XVilybnqK5mA1 2snewZ5Og4NwamyY3NJ7Dn8ZTPxtf0uVRruLhmI+b2/XV5Z72O8tUEb4uivJ R4S0mDB6ne14sQQYlG9VcT5VW7RySqA1xCf+XgYLIhaODbwvfcS2LbFzhSYW qopB2IJ4SY7MwRblg5DtlGitq4bBLwyUA3Q+/Smr4emoi2ydpQwCRqbVjbWV JRZJ7o/BVutiEAxyXQwCI2qX3f6205/zQUA5g/R2ttNnjuB/61pGQnRlcUFL fW1fV4cqBqnen0HtbGkUPZIyCIrY02AdbdKsYgLv7wruwu8Gy+1sbfphGeTB zWu6SJ+Cnus69TMIm0eSLs+xefJwnztKxmHC471tw8yX1wV8m7Q1Aoau6NHG h/dsj4rwkIJCvC7ca053S6Padw8OBuXL7g0QTq0z0DKrkjPRdBI8wkeGfMvy MqmI5cUFsxSqnEGgNmEikoEte9pU+SAc6u3W/yGwIDt44ODoGs9SBqGyRNNK ZOHo2ijIoItBdj5/1sUgmQlPLJ9BXsRHUf3fvBJPKNEeCYUMwpT5uzdlokdS Bmlv2ttdU//2tTQrclehNAyW+yMzSPrT8PD7bnqCruuJvhliEPLKNYItOgzQ 8zQ3pdCzfpkSr9E9KyIEElBK2a0+TNfB81JSrhA9bXuDJC3W+MUUs8OgfGFg a3TMrq+tLGsUTw+Gertqdt3AC9JHdHgQgU0PmliocgZh/qauMzjKB6FyBkFK aUHgVjzyc7aXPpIyCN1sgFEtbbWu464Mtsogfi722gH2l/SRKgZhK++JEY9E j6QMMjk+SjG5KfGixCsry+QsRwd4Gyz3R2YQU6CfQWgLikbHZVY+N3a3MsKA VFJQrNadvG73b4PbqBZmp6lQeO7Sp821VfS08tVLJeUKsfF+/eZ52ld5TLjZ RorD3KxlUL7Q2Lq2ubLeULKHE4xMiaWbnUiUQqfPxEIVMgicSvI3wWu6Boby Qfjly8766opsoFV4DEL6U3aHOU1yOpw8zhwxBimD0E5R0ZlK2HIa7XYy/Ze/ 2SqD0AkOVHJlZUUY39vZplEzi7W+T0ZOp05AsbPIibHRp/v32zAGWVtbIx/2 9l8nFxe/O1T+uuglJS7OeWGwXM4gxkE/g7BpH/wierS2skSyEG7pnJ4YZdtB hZgYGaKNQAGuDsL46tKilKgQhKHeLhb59etXmmH2sD8j/dfP9ClpBLdeqAK7 BwOmpvDYGsOH9fWUyGDn0z8bkblxUCJfOgzodtFOaIejo2gHrMvZX4RXWkE0 1Ks5yU+FmbBDgqITcMP9PRT/KjPV6EJFUMgg7A4T2RtmCGoHoSyUrKR3NO4d gYkPecB8MbQXdSMCYgzyfm0Vf2KQiHZ01FWWUQ5gHFHmIAt205etMsiT/X2Y z6NDezpa52ZnWutrkyODyRRRxSAN1W/oFSQL93FPigzGWKJduyIGAWpf7+0k DHB1HB0eXNfecFJVUuiknWsFvywv/3OihDOIWYBvf3PjA0Ln/g6E3cVHbYxQ LSzMztDSGMwq4WzG0sIcu4RQuKZAU9ZRDzyQ2+zUxM7ODpTP29JCtpNKtADx NMhXIzclRbacRjtpv7q8t1KJz622ophGo/+ta8Y1HAqBdvVoG3WiODttdKAX nYEWdTTVFWWk0PExS7sXi61KPPa6BY5GK6A8sxJjKFI0Swkep3jpBCOtIqEP oc3oyMxQbzcdYUCkyPZWVeg37ZwSDSEEuj0GBgOLkZr97A4TSFPPTlS1g1AW Ck8U0lK4RnulJygYVMJuiRQyCC39Rz8UbyRAG9k9wPCgaacxPqiWd28RLz1R aGMM0tfV4fiHzE3O1/cPdilnECB3f95bGGgmFqEsP1uYODrgn/sz8QkzrsGH 3Fz33YYuziBmAfl9ssHH6bsLSdg+GY12hjP64T18tuxcZ+GL7+7IlT3BwYJ0 XUMXg2x/2mKnpTAGQjxv4mulf1FB35GS/wqhC1CD7K5XXQEKx+j81UKJfKGc 2VYEjdb6FcpLpPn1MAj4gubxtJRxnB12ltVaqgr9JrDAZYP0sFtSxKM9/d/a pL/5qgahLBQyCNxSOmYuDPDCKJIpcKp5VUm+NAe428xe0rLePz1s8wyyrt1b SwbJfpOPhd13G+jtpimI/PRklpKMhxzJ4oUQ7U316U8jIGtkkh4X2VJXMzk+ Rjk31lSKEsMrYTvBKMAeGB4QX8Coq9wu7RVnGn4eRBmYNpYGX6fLosTDfd3s Tu9/dMiNS9J/ZzM1Nvws9CE7/cECCKujsU5aDXaVd225+JYSWG6FGcl0fTcL GIcw7T6syxwZUAtYrQFujsIPXKN1mcO83eoryw/zX+AplC+s9Jcp8cJrlBzt foK7J70VdmZybyHS/fIpaT4zE2M0yfyPhvzbrqn6jYmFAug3PQwiupZwfmaK 3EmF/5VV+SCUBQ34xPBAgyk/bm5W5GeDOuGrJkUElednobFwuPA6Bsw3wUWU cI5kc9idCI0KEQ2tEE8XtmxEu0HQfDGD7J/ZQQVEeWZpL+64c0lGoAcNVQwC LC0udre1VJcXt9bXsmtDzIXWhnfURbInx1dXV0EZ7yrL2xrfzc5Mm7do68WB roMox8rSwkBXO+xMWIyLczN6zkzBlFqYnR7s7myurRzo7jDlH9R+2toCK7XV 18AKHRvqly6LmAhoA7gzvR0tve0tk6PDR/K/U1XJFxWenZqANh4d7DOltpsb H/q72kDrUlfi4Ao1HcoHoXlBm0LpOP/Wx014BHmpCfpfQd0W52f7OlrhlZh9 3B4m1DKIuSClgKWlxWCPXUHcuvDb8tLSYVbGqmEhDMJxQODytRxA1cMREEX2 7M9vwB85klodLY6KQTS7+6KvpcWGl+RmVJUU5j5PoHu5Nd/foMhhEFzD2Da4 fC0HRRkpt87/lvDY/1VmakNVeVVxfsr+ViIP+zPS/1bzI+AIGUQ2PA3yFe0W 5tAPrmFsG1y+lgMwiKzWunPplJL/4WWTOCoGyUmJD7t/557DhVsXfrv918kA V8e44AetDe8Osw62Aa5hbBtcvpaDkf7e1OjQAFcHeBwuZ//r7Xgxyt+zMCPZ qhcyTMRRMQiHucA1jG2Dy5fDksEZxNrBNYxtg8uXw5LBGcTawTWMbYPLl8OS wRnE2sE1jG2Dy5fDksEZxNrBNYxtg8uXw5LBGcTawTWMbYPLl8OSwRnE2sE1 jG2Dy5fDksEZxNrBNYxtg8uXw5LBGcTawTWMbYPLl8OS0cfBwcHBwcHBwcHB wXFEOOr5GA5jQLI7al+W46DA5cthyeAMYu3gGsa2weXLYcngDGLt4BrGtsHl y2HJ4Axi7eAaxrbB5cthyeAMYu3gGsa2weXLYcngDGLt4BrGtsHly2HJ4Axi 7eAaxrbB5cthyeAMYu3gGsa2weXLYcngDGLt4BrGtsHly2HJ4Axi7eAaxrbB 5cvBsP1pa2ZirLe9ZXx48OPmxlFXZxecQawdXMPYNrh8OYCl+bkof09Hu580 v/8PBafTJ3KSYr98+XK0FeMMYu3gGsa2weXLAfR3tYE17l45kxgWWJiRnBIV cuPUCcQUpCcebcU4g1g7uIaxbXD5cgBz01N1b0p3Pn9mMa111WAQX+crR1ir b5xBrB9cw9g2uHw5ZNHZ3AAGeXzv1tFWQxWDvMpOz0562lBdeQiKkUMhrFfD fNzc2Hi/bno+Gx/eC20zMyY2Ajs7O+admjZCvlsfN00v98uXne1PWwdUqLlE /2MCA2xydPjhbQ0YBJ7I0VZGFYPctT+DOidGPDoExWgEFhcWxoaHxkaGjroi h4oDZZCvX79G+LgH3rk+NtQvm2BxbgYJ9IS3pYXC3Po6217ERT687XDr/G+0 IOh8+udQb9e2+hrlihcUgPRJEUF+zvbOZ35BJg4nj3tdO58cGbQ4P2tKYum7 qH9SxKPMhOjRgV5dyTY3PpTmZiQ89kcRjnY/ISB/NKo8P2t9bUVho3RBuXz7 u9riQx54XjuHNt668Huk393KV3lqiwNrvHyeEHzX2en0CYeTx9CilKiQ+Zkp EwtVJfq0mDD9gwqht6OFpVc1CE3E6tJieV5Wc22luTJUi1dZqehn9B76vKul 4aiqwWBLDFKSm0Ejc35u7qjrcng4UAahuVaEnrZm2QQTI4Nsc4hsyIiLYomn x0f1pHzxNEJhrdobanVlct3u3/DujU4sBIzwx163kOzGqf9oeedYY/VrabKO pjr3K6d1FeH4x3EoWIXtkoVC+TZUlQs36rCQGh2Khigs68P6OrhDmonrxT/G hwZMKVSV6H2dLusfVAjvXpey9KoGoYl4U5iLDJ8/CTFXhmpRnJ3m63zF5ex/ UQ3wr0Er6KDBGcTacRAM0vLubdnLjOiH92CuK2SQ0Hu3YTpKQ3NtFUtMagR5 xj7ygSEHC6q7pfFlSjzMXcpEoUtOpADFDs8CFm9nc33hi+QHN69SJrDQ1laW jEssRFNNJSmfnZ0dfKdwK5BYZC0XpCcyNRXl71mWlwlKqqssy06MDfZw0ezv ulTSKF1QIl+odyrL7aIdHJ+h3i4o2Ed3blBkcXa6wrKiH3rRK3HBfpBFX0dr XuozkCBibp7/dWvro9GFqhL9q8xU2bGEADrWwyBKBqGJgJOFgvCBmCtD4wDv GD2Mmjy8rTnamnAGsXYcBIN4XD0rsuIMMoiSj3RpYS79afjC7LQoHmb8ni0a F6mkeiP9vVA+ayvLoniYspRPQ1WFcYmFyE2Ow9PNjQ/0J32waAJLMDU2wrQr 6EaaA5QkeOcQGCQtNpxcquG+bha58eH9PYe/EI86fP361WBBq0uLZDDAchAS JWiXOqq+stzoQs0l+tyUOEo/PjzIIlUNQlOw/enTjVMn0Eto5oEWpBC3/9qd zpKO7cOEWRikv6ezsqQAoa2xjmKqy17hz4GeLvpzdHiw9nVpTUVJR1MDpRwf HZHmv7KyUlVSiKc9Ha0UM9Tfiz+rSgvx+/jIcHl+9rOwgCh/r7y0xL6uDuG7 796UPQ3ypYFUlpdFpSB0t7cIkw0P9INonoUFRvjezXwWjSotLy+LqiEsdHpq 8nVRHszXCF/3F3FRHc0NBnvpkHEQDFKRn52flojwLPShGRlEFz5/3qZMYgK8 jc7k265KH6Z8cpJiTU+MTsBT2OH0J1m/Hzf31ouhHtmET3vjO12lbH/aeltS oL4p/8CgfD9tbdGcRkyguPdQNNWwv6vNYEHF2WmUeHJ0WBiPlsLLQHyI502z F6pK9MsL8zSjiC9dGG/iIFyanwNLJoYFog4Z8VHwhjA2GqrKpR4xvgKUEnTX SRT/cXOjrb4WrhO0U2bCE+Q2OznBnuJ35Nb4dncKFDRdXVqUHBmE4VRVnL84 N8P6ATnA1Hni7wWqhVWjhPRdL/6B+hztRJbpDAIV7XJ2d4ESI4qp6+t//hsx 2clP2xrfeWkuMFM2NSaMfpF1ZN5VltPTyuICislPT6aYl8+f3fjzP0Kr+Lrd T29e5bN3Xf86KTKbpQWBO6hiwuDnYj888F3bWaFl+dk3z/0qSo+aKNbuh4ED XQcZ7O48BAYZHeyjTAozko3OBJiZHN+XUYLpiaGvMLAxqkExNL2T8NifPYXh vTdz4u1qSp0NwqB8We9VFOSIHkF30aOizOcGC4r089j1p879Kt3SQOwJ25s9 MlehqkQPQ46qMTc9KYw3ZRDWlhc7n/5ZVnXAwhclzk6MlbYLn8bdK2ekr4d4 ulCC0v25EVAGqUoW0NvT46PjQwO+zldEr4s8QfALeE1YLigJyaD31DbZvDCR QeAIkI7FT+Y4rO8ziFT95qcnPXJ3wi9Op07Mz82K8oeRoxXcyeWlJYphynxf picfe9265/APJTHOinrg6WG/N/fy0NUBpVAoykylBAUv9rK6feH3+Mf+GQnR tE5K3Adfg1VDVCiehnjdYiJ2OHkMTopRyv5AYCEMUlNWtLy4ABNrZ0fpuu03 7dItLD2va+c12ul0/GlKbaENqDK1FcVmSTzU201yp2UUNqO1+3rF3ut6HBCz wKB82URQX6eMzX/dbvdLVLJLgXaHMr0nRElOOhXBtpaZXqha0UN/4tPTaJfp RY+MHoRMiKhwuM8dVBhcyWxRKYP4OF1CPFiPxTTXVlJixz+Oh3m7pcWGIx/S e2A6SsMYhALyj/Bx93a8yNQLTR7iZ4CbY7CHCx0213y/2pIYHqjRuj8v4iJB YXBVNHtzsOXfjhSmMMhAb/etC7/t00ebMCUz9Z1On8h8FtNcVz0+MgyKGR0a qKkooUfFOS+Er0AtU3xWYiyLZMr8/o1LrfW1LL40L4vi0ZMsUs86CAiC2B8K YXJ8lMVXlRTSK0mRwdJC3S+frn1durq6ulfoy0yKR4sM9tWhwUIYRBjc/raD L69nCyhQnpflf+saewXf1PTEqClV/by9ff/6RdL279dWzZgYxCE9QgLHhGou nK84CBiUL6NC2R3XtPPzaZCPwYLcL5/SaPcDSB+xpRAYzKYXapzoaQkb8lpZ WhA9Mm4Qvl9fo3p62J9BDiwe7JMYFihlEPikGu3WC+YaYGDcufQnIvFzuL+H pfy0tVX4Itn5zC/0J2MQz6vnOpsb2PRUSlQIM0pR1c0Pe/YJXBKiYOHMXlNN Jdv+QcHj6tkjX9D/ZgKDQOETWYM+ejvbRCmJQQJcHUEcokcrK8sQLp6ChYXx z6NDiconxv7R8EyZS1crgrSz0Oj8pcVFitHDILnPE+hRW+M70SNy3pHP7My0 qNCF+e/yWVlZIesiJvC+3n46VFggg1DAxy5cYxWBrbDQJ1xVkm/iQb9U7fhB yE40vAiiKrEsoGlp2Hz+vG1cDgphUL5s/UKWy2hTRPBdZ/2lQK3RrgDZvcd1 b0qpCHYKw5RCjRB9X0crpc9NjpM+NW4QlufvWaFt9TWiRzRbJWIQIk3hTCaj BlrjEIExAkvGFtEI48N71ZZulqPpEVCGOM+ND1NjI/gq4WopWSg5BBjHICOD A0S+Wvpol6Zk6yCy+eSkxFPXtTbs6fOF+XnyEaIDvIUpmTJnjgAD8wiGB/op Rg+DQOdrtD6FtDJ1+4svXW3NBgsl2wmepmy7jgRHyyDraytlLzNgWcFwmpue goNfX1kOX1uzPw+wuiy/V7a9obYgPRFev5+zPSXGL8JpIlVAHSgTCGj70ycz JtaFx/d2v3HYigd9OapB+RbuT8/K2ts0TWSQQWB4UybPwgKkTxuqykUMYkqh akUPVUkzbNA2sifZjRuE5AK4XbSTqmJZBoFLhci6yjIWg77SaA/L6B8DjEFE ydAWiodTJq5bZLBG69roydZCYASDgB+hirX+wk+iDVEM+hlkcnyMDJ4nD+9R TNn+rFR7U70wpR5lXl/1mh617M9u6WGQBzd3Nf8j9xvSyoAB6a2qkkKDhdJK Ddwf2XYdCQxqmJqyInzveoKeE7sGGUQXkiIe7ZlncqfwRKguLaLE+KhVlUJ4 U/SSXvfSXNBFWMYl1oO0/T0hbDvNAcGgfKuK86kmopVWAm3XeeLvZbAg2hoa G3hf+ohtr2LnCs1VqBLRYwhRmpIcpQdbCPoHIR1deeQu3lj1TY5BwLA0/yA8 PfTwtoOuHITQxSCft7d1MUhGXJRGOxFnsI1HDiMYRBigtGVT6mcQAL6GloOO 06qEz43dJSpf5yuiZHqUeUP1G+UMQovs4T7u0pqw9Rc4NQYLfXzvttUxCLGn nqDnek+jGWRuelKzt6oVoyQ9fYzul0+pKgUoy9tzRWH3Ls3PmTGxfrwuzKGs ulsaTcnHIAzKl90bIJyKZ6BlWSVnqOkkeISPu/QR67flxQXzFvrNkOihZj2v niOD/NOWinu6vhkahPev/63VCXekj6QMMtS7u/VONK3kodWHsitHQuhikJ3P n3UxSGbCE9tmkAA3R1rLQHhbWiRNaZBB4GvQ6zkp8ez3isJcUTI9yryiIJce jQ4NUIyAQcS7vOiAsJ+LvbQmHdorLhHqqioMFmqNDJL+NDz8vpuekBoj3tzC YDSDbH/6pNE9KyIFmxtXPpH19etXtpwNyeo6Wm5EYiXoaWui3NJiw03MSj8M ynewZ09G0tn4tZVlepSX+sxgQaHerkh5z+GC9BEdHkRgiz7mKvSbIdHTqZxd PaP+WI3+QQiu1Ggn0KSPpAxClw+8TIkXJgvVagPpaoUInEEYiEECXB2Xlhb7 ezrJrYMf0Vgjvq3XIIOs7/sdMC2itDvTbp3/ja2JM+hR5nHaPeooSLpXSrg1 l5AYvuvPOp/5eWF+XvSoOOcFvTXY222wUGtkEFNgNIOw83pKDgUARPHOZ35R uKwA05RpHrzLVi1NT6wQG+/Xb56nTZvHhDt5pDBxs5ZB+UJj69rm2lxbRa1W sueTHdKXbnaiTxWOm9kL/aZX9Bsf3tM1jOA1IzZa6B+ENA/pcPI4c6wYpAwC m1kjOSMJ20xD2/nW1/RUgzMIg2g3b0dzIx0RxU/RYW0lDMLWPihkxD+RptGl zAf7emgAR/p5sMh3b8ooMSomyqdyfyK3MPO5MH5lZYX2jUBY0kMonEEMMkh7 Q63sYjQtOyIIry7samlYmJVZNRjq7SJpig4jVJcWpUSFICCBMB4fLLt1Kj7k gf7VcFWJVaGmbG8OH3as6Iwb4cP6ekpksPPpn00pRYl8aT+h20U74VXAcLto B6zL2V+EV1rB/6JezUl+KsyEHe4T6dvh/h6Kf5WZanShakVPYHeYyF4aw6Bq EDJ0NNaxUcF8K9QfZd25dErIIO/XVjXam4RF++7qKvcUjnRHH8iC3dzFGYRB eqKwofoNrYm7nP2vcFVdCYOw/VdkyEn3/a4LlHlGQnRPR9vc7Mz46MibV/n7 7s9PI4P9/+jSrg5K/MjdCbmBHUA0dM4RXODrdIVeAXPR3uDJ8dGQ/UOFwgk0 ziD49jc3PiB07k/xtdZVU4zoej1IEDoEumWwpxNmOT6xiZEhdtwJghB+NbGP fGDy4YNtb3w3PzP15cvO6tJiRX42u+67rb5WmDm7pga6WhhPO2k12s1U3a1N PW0ygak1VYlVAdqGbfi5cepEcXba6EAvem5pYa6jqa4oI4W2ux/CvVhsVeKx 163p8VFUDDSRlRhDkaJZyumJvWtypVt96PgkPkZoPzoFM9TbTbsuESmy1VUV qlb03wR3mEBw+neuqhqEQtASDML96xdBqage7SKjwBiElvKjH4o3BqAVAa57 OWTERaHC37TfTsu7t4iXnijkDCJ7q0ll8Z55j++F6XMlDLK+fwYEIeqBp2wC 0fFwYcCQLs5JF6WnA+/CwGrb2dJIN/lotDeisHUcjfZiCiFZcAahtUvZ4ON0 SZhSdEuDMGA8zEyOCxNDjehKjJD+VLygoItBaCet/sAOW6lKrBbQmXHBfvoz h5NrXOYEJfLd2dlJePzPIQvhNR2Ql0jz62EQ8AVNzWm/r+PscLSsllNVqFrR fxPspALv62++qkEoBDxHOmYuDCAjimQKnGpSVZIvzQFURXvYNPuGhEBBcQYR gyZ8hMe3CYWZz6krQDF0Co+Mh5yUeP0ZsrVvdjBEBKbMowO84T4Ihuhl0b5f AlwPdlcJBZCU8GnQ9//+wOnUCRQhYoqCjBTtADgmZRBabQz2uKm/XYeJA2GQ azoZxNfpsjAlvg7h+WIKcEuTI4Ok91T0d7VB37ILvVm453Cho7FOWg12lXdt +XcXj5AU9Ad2LZ6qxMahu6UxwM1RqD002hW6MG+3+spyE+fNFMoXVvrLlHih LnW0+ynqgYf0Fll2IZjs9qeZiTE/F/vvNOrfdk3Vb0wsVK3o4afQ7JaS/+Kq ahCK8HFzE64QqBDuZFJEUHl+FioPB0qj3S/0TXCxpOws3Deaq4wKEUk/xNOF LQPRTjY0R8wg+2dwUAFRnlnPojW7FK96a+LhQxWDmBdra2u0oe7+jUu60gjd gcWFhcG+HrgS0q1WIsxMT3W1Nne3t0xNjEuf4nWwT+3r0qH+XilHWB0OdB1E Id6vr02MDHY217fV10AF6T+mjQ9naWFusKezubZyoLvDlEMZFgWoGrSrt6Ol t71lcnTYXAsuquSLOsxOTYAQRwf7TKnA5sYH6HzodukqsymFHqjoVQ1C/aBj X3Q8f+vjJjyCvFQDd3WCHRbnZ/s6WuGVfNzcMLpoq8MRMkjT/p6NsvxsXWn0 TChxECyBQTgODly+BweoeukdjHSF++7kUr54colDiiNkEJpuunnuVzgXutJw BjEIrmFsG1y+B4eijJRb539LeOz/KjO1oaq8qjg/JTKYZs887M9sf1J3gPHH xFExSP/+iaT0/7+98/CKIuna+N/4bfLd5LLmdV3DGEiCCIggCAoSJYMgICAI goCIICIZBJSccwYREdP3zFyobbsnM0j37P2dOh6nurqqum/3fSo2STFmkrGC WIQ9jHPD9t09Sg0znspw6cQBa/48FvNl7xSkND878MIJhOHBfjPJnj4qQpog 15MrKyvfrG7agj2Mc8P23T2Geruz4iNDvc6ix+F++JeAc8fjQvxKcjP+UxMZ O2QPR7EYh8Aexrlh+zJqhhVE67CHcW7YvoyaYQXROuxhnBu2L6NmWEG0DnsY 54bty6gZVhCtwx7GuWH7MmqGFUTrsIdxbti+jJphBdE67GGcG7Yvo2ZYQbQO exjnhu3LqBlWEK3DHsa5YfsyaqaHYRiGYRiGYRhmj9jr8RjGHsh2e92XZXYL ti+jZlhBtA57GOeG7cuoGVYQrcMexrlh+zJqhhVE67CHcW7YvoyaYQXROuxh nBu2L6NmWEG0DnsY54bty6gZVhCtwx7GuWH7MmqGFUTrsIdxbti+jJphBdE6 7GGcG7Yvo2ZYQbQOexjnhu3r3Gy+35gaG+l+2To62P9u/e1eV8dmWEG0DnsY 54bt66wszM7Ehfidc/lB9/v/UXA9uK/gTuKnT5/2umo2wAqiddjDODdsX2el t6sdqnH55KH0qLCS3IzMuIgLB/Yh5mFO+l5XzQZYQbQOexjnhu3rrMxMTtQ/ rfj44YOIaauvhYIEuZ3cw1rZCiuI1mEP49ywff87dLY0QkFuXfHc64rYACuI 1lGVh9l4t2594nfrb1eXl3avMmb4+PGjVkab7bCvTVYwxadPHzffb3zjQo2C akgb6k4Jnsbx4cHrF3VQEPRE9ro6NsAKonV2VUE+f/4cE+gTdun8yECvmWS9 Xe0pEcF+Z47g+fc89nvstcvVj4pMJZ4eH0Ni7+MuYvYw1OtsU22V3S4d7uVZ RcmdmBt5qfHDfd2mkq2/XasozE29FXLN7dQ5lx8Q/M8cjQzwqizOX13ZGyGz Buvta5MVTAF3/eBuavhlN9jl7P7vcK8y4yJmpyZ2Xmhp3l08SyZDkM+79a80 aGF2Jj0q7MrZv5AzjBXkdhL2XV9bs/WKLLK8MF9ZlN9SV+3wnK3kUX4Wbh0u E7exq7Vxr6phH6wgWmdXFYQGZhFet7eYStNYUyldTyJCVnwk2rGyxM8rH53d /71II/0/nI8yvUVwyi1/T5x+4cBPhgy/gxgpk3U01/ucPKisJIVzf3wPN2hr 0d8GK+1rkxVMsba6Cu1QZuJ1/I/Rgb4dFhp//Yqp+0/hzeqKSFz/tMLt4P+U abz/djHTSLCPpyWFyPnu7QjHZms9ZfezoY/uh39BNdCkmZ+d3qua2AEriNbZ DQVpffHs8YNcvPLCw5tSEDiWrVf7uAsa8wPdXS+qKm5cukCRZfdzvko82E8Z Xj1/HMlWlhberb+FSEUFeFP6ktwMW6va/LwaJ+Ymx338+BGvHroVaM7JujMP c9KFC4oL8XtclNfZ0lhf/fh+emK4r7voCtla9LfBGvvaZAUzxF/3p1OSw6/B Lj0dbUVZaZBXxHgc/XVj491OCiUFcT/8c3ZClNHwfmNr0AwdXlEoejR4bJA5 VIlyDnQ94dhBLTRdkC2eeQfmaQe4KNw01OT6Rd3e1sQmWEG0zm4oiO/pw7K2 nykFyU6MxtHzLj8O9rwSkW/X3tDgA/z558+fRfy95FjKbXpiTJrJ5vv3SIn4 YI/Ttla1MCMZJ66/3RrcoHdwYW5GJJgYGRLuCHKjzOFVaxNK17SC2GQFUywv zJO+w9VLJRg+nKzWUF25k0JJQQIvnLBYE5oOQO9mevyr56Q07y7VpKLwnsVM rATP3oUD+3DhqLmj8twJF//SD2etLC3udUWsxUoFGR0arC5/iND0vFp5dGRw gI6+etkqjZ+anKgue5idFBMd6JMefeNRfjbykZ070NuNE2sqSvD/yYnxqtKi OzE3Y4J87iXHdbQ0Gq3M0tLSi+rK/PTE2Gu+qZHXywpy+rpfKZPVPn6EnPte d+H/7U31hXdTY4N9UyJCSvOz5+fmzHplLbEbCvKk+H5xdjpCWuR1MwqCRiN1 vRPCAmSHnpU/pBN7u9pFJMxKI1fKKVpq/eJdtqOqOBGtZfqZEhGMn2JEHU5M DMu8bHphKhPUBxW2tehvg0X72moFU5Tdz6bE48OD0njcQ5q0ivDz2EmhVirI +toanZ4ZJx9W+rC5SS0Nn5MHzWeyMDsD4UuPCksIDchNiUN/amJksLGmUjlJ jQcbGd687CqLR++4vaHuUV5WWlRoXupt5CaVM/wfuTU904+XQnlrK0ozYm/i 2aspK56fmdqq7YdN5PAgM+V2iH9OUnRjzRNrdNzr+B+oj4YGsqxUkJnpKdEu ra+ulB6an5+7euGE/vX/86fuznYR31hbTXdDGtwO/fykpFB6enFOBh16XHzf 48ivsvQP7qbJajIyNBDqfU6WDI1M5LO8vCxNef7PH/X98Yjg6MBLsvT+uqPI xz6PrTZ2dR6k/1WnGQUZ7u+ho08eFsgO4RWjQ2g3isiHOXeMtmYBNVzjQvxs reHi3Kz74Z/hzQruJJIMpd4KEUfRPKYSIwO8bM1ZJVi0r61WMAXaY/qe2pFf lUsaSJch/eKQHYVaqSC0zw7haekD5dG7tyPoKOxuKoe6yjKjcygIaOHLEt9P T1RWFU/75ZOHlKdH+LlTgorCXIqBZODxk6bBDZwcHR4d6AtyOyk7Xda5g75A 16TlQpKQzOuv/eZvkaqwfhSru/MlNIJukdT9QqPp/qDBLyKfPynXbc985STH lhfmok9x0bDeAKGrrUWkFApCAa4gwt9T3Pyz+79DJ0Uknp2ZEap087LbvZS4 tKgwFEExeWkJ0gqTgogAmUPOnkd/o5+JN4N26rvVwR4qSEdzPR3t6TTSxD3v or//95JiRMzIQO+2Wb9HixdNSorvbGmg+LonZXZUcqD7FT0wFw78hA6sGNEC yFBnqQOiciza11YrmILGjoSTlFJekENFiEVrdhRKCuKvO7aytIg+wvLigtEp /r6ul5RzZXG+8qjoKA31Gp9PFxZHHdB0RB0gf/DJphQk0FXf+oUgipiWumrR Lo0K8M5OjEY+1LjFc0tphIJQQP4xgT4B544LJ0bjgfgXzd1wX3fabK77erYl PTrM4Mdc7yXHQsLQVaE06N0YvTR1YtM8yBPDogWdfq7n7NLSImJqykso5m58 pEg2Nzt76cQBcvLovIj4qYlxn3/08birIlIoiM8/B+uqKkQ/ouJBnlIX8tLi KRJHpdlSrwSSIR0lEwqSEhEyMTa6lXhyggwNbVpYmLfVXauQPVQQNPboqNG1 vrRAMelmoDSyprxYrN7xPu6CPv6zihJyOOjp72SGFMKhPB0dEypLNqKuISza 1w4rGIXeTaPdQDEVgta13YUq12LhSbjh49pUWyU1nBjFSg6/psz5RdVW0/RV W7Py6JvVFSra99ShsaF+Ef/x48f0qDClgqAjozMsQhZdAzxFl078iUj8O9j7 WqR8v7FRci/D7dDP9FMoiN/pI50tjWJ4KjMuQjR981Jvi7XH6JLQQ54Q+u+g X/Pz6mCP09Ib4nv68J5P6NuKrTPpqZFbPY6cpBj0DlwP7iOlWFpaEmlK87PJ n4+PDstOJ13A7V1cWKAYoSBzszPSlMiQdD8h7CrFLC4uUicIxcmyRf+IMslO ihGRpCA5khhp9RCkvRvtsocKIhqERv0zDXuGX3aTxT95WCDzJCQfu1F/+EN6 3j582NyN/L8BFu1rnxVkwAfSegOjq5rrn1ZQEd0drXYXamY1b0JYgHR4h4Y0 EaAX0hw23q3DLeuMTbIQ6LbQ0faG57JDNFolUxDSQemwp5AGmuOQIRRBJJPt YRkd7Kd45VI0WnOuXCsCzZoYGcKLtjg/Z81EidqwVUEW5ufFENNFQ98QTZfJ iXFpGrT5EX/51KHmumey8CArTea9hYLIZjFAiOcZ/XPo604/cQqlrCotUlYs yFVfq8gALxFDCnI/I0mWsun5Vi/1ZXODNZescvZQQdAqo6NGd5zRpKfMjTx/ XEqNscLM5NzkOFp5Qk6+KCvV4X7+1hX9a4sStbIDXYlF+9phBSVopVMmaVGh yqONNZUyBbGj0Ja6GijRQHfX1NjI5NhwT2c7vDpNxyMUZaX9e8md7SRnCOik 5KfF56cnoPUunXGYmRxXlktdAPRtla7YqIKgl6TTT+w+FjE0Ju91/A/zD4xQ EFmyt29WKb6ySD4ElxkbTl0bM9lqETtW8w4P9Am7w0u/7miTJbjuddZUY0OE tsYXlNiMgkT4eUh7HI21W56/raFOWauYIP2ibnQqRYwpBekwfHxG31Bpqrfy ktWMRQ8Dp4333Ux4VlFi6lzzClJTVkxHZROCBM1Y3Q7xFzG0bgrheeUjivmw udlQXel7amvWMibIx9oH1zqyE6IoZ7FCRnNYtK+tVjAFqXli2FXlIbG8Suwr dFShON3tkF4X0O+QxuOpoHhpOLv/ezEEuvn+vTI32o0C0VEeUioIRJNGOVaW FkTk9YtnTeUgxZSC4Hk2pSBoL+kM88Lmc9YcdigIiA8NoBsFu4vxKMFlg0OA deKC/UyF/u31t2YU5NaVi1IFqS7beoxfd7SvKkgIu6p/Qo79LmJMKUhnW/N/ SkGCPc6YV3Mz3wI1ryBix7p0xFhAs4diqy9eWFrGgAaqLOXbtTeiYyvdXLBz qkq2RsxetTY5MNtviUX72mQFMwS5/qMX8UAjIv64aGtScnF+zrGFgtRbWyvG ZV8sQXv+ycOCrITIhLCArPjIxw9y0QygXoOplvzV83/jaHTgJeUhpYIMdOvX 6cmGlagxY3FNoCkF+fjhgykFofE3VpBVwz4Lqf+5ExsuSxDuq+87XHM/ZU1u 1ivIy+atFTsNz6qU+VCHBY5IxLCCEDlJ0dFXvc0EvKSmzjWvIP2vt44qB41X lhZ1X49OzE5NUIzRdUHCR6HHZPmptZrX7Vu2zk7clXmWb4BF+9pkBTNEBngZ 2oTHlIdo8yCCGGZ0VKHgQWaKzvSAmBT4Z1p4aap3A/nTex63U8pDSgWhLxWg dGmySIPPsbizlRVEYKuC9HW/ErPnpBS6r9fxAhqNhAOfnpq0mKH1CjI+Okwp CzNTZCmXlhap44zOkYhkBdk55hUEvuLs/u90hu8gyQ611NXQiWJp4tz0JMWg O6/MSqSvfmRkF4DdoB3rcZTWYX4nXZyjRLWLtSza1yYrmAHKTomXFuZkhwIN G76knUdHFQoSDaMH511+tLgST/htdB+MJqBBy7P7vxd9JYFSQWgBp2xGHs0t nWFZuPQjXWZqwgpik4LMzkz7647pDOufJ8ZGEchv44b3vu4UycRmkMQbgcpM 4O2limO9gqysrPidPmJ4DPbPz3+1qbyq9AFlUlZwT0Syguwc8wryZXsbmvdx F+nnbT9//kzfGnI//LP4mBIiadjZ99Qh5d+DFmtsRgf/9fO1FaVojSAMdHfZ fQno1FDOaJoanX5dQ5snNtzt4P/sLmJXsca+1lvhi975L9BdLchIkmYiNgnK ttcN9r6m+Ed5WXYXOjk2LFYCSxkbGqBJ81Cvs+avEY8iDY5FBXibStPRtLVL JSUiWHSXUKXm59W0v0AoyJuVZfyE0WWLN+qrH1MOUBxZ5hCLF1UV9H9WEIH1 CgIHTs8MQkt9LUW21j+nGH/dUeiLSBxhWLqmN/dV79cd7YuLixCOnq6Ox0X5 pEHIjVJaryCgrmprVWGo17nhwf5Vw6LfmvISV8OjBX1BQSIxK4jd4N1ff7uG 0Lm96qCtvpZiZJ/XE+Pht/w94SLwtsJB5acnUKRsfIwaeDrDYPvy4tb0Jd7B uidl1KAN8TwjTZ90M0i346EtVOnmZVfKBy6o7H72cF83rm9hbqajub40N5O2 m2n6u1g2WQHOnOKVswk0GwVbwFXS/hq09ml/hH4F/tcNe5sKpSXcccG+OGt6 Yuzjx4/QnWcVJWIxnmyiqq/r5ehA34fNzfW1tcGeV7kpcZQMwjTSb+4PDdBU uM7w9U6oJKSEFoZREArSVKvf/R1/XT4a9unTx9DthUDoLNPOdzzzrS+eIV65 o5AVxHoFKcre+sCpbOs3flJ8bLCv0AW4d2iKMBwev3N/fPUVaPsUZFUyiU9d IdohQh5A6BrBCmI31NczGgJdv/oqBVyBmAmlRp00pcznbL7fEFuoYK8IPw+8 wvSnJejlkn4R8YuDFOSLodWdHH7N1BVR8D19eCdF7B7W2NcmK5hREOgFDfoZ 3tnvxU5qoy7RpkKNbgISQTk1Jr5eIg0QOKO9SClIQNvMpQEdJYoUDvxOzA38 rCkvVuaAbpHQNWp1SPwYK4gcKxWkq62FWok3fC5INw+uGnoBYd7n6b5Jt4ov Liw8uJsmvmQipCTyitfTR8Ui2cPcTIpXKghN7YX7esjiywtzZSv90PAY7OuV JaM/GFGgmDTpMnxLTcf7QUwjvLqRt9j1H1liND4fZKZI1+qfc/kBrU2jHztF c64kN4Om0v5N/8f3aO+tra7KEtPnmBDqKu352okMtHJDvc9JHYLOMFsXFeDd UF1pdHWoGrDSvtZbYWp8lBL4/HNAmc/U2Mg191Nfud+/XZprn+6w0ImRwbTI 62IXgAhoq3Q01StzlioI8gz2OIPejaz/a4p36+tPiu9D3dD3vBNzs7I4H/VB n0hn+BrGF8m3Iuemja/xXjNM5soelQg/dzGzQws/4LXkCrK9rQYVkOWZb/ie xqUTRu65prFvNa9NTE9NQoBa65/DyUtHmXYC5Aa5vaiubG96Yc18vROzq/Mg 1oO3cnpirK2+dri/x6I3fr+xAZfS3vC8qbZqZKBXOS2ye6Ce6Ol0d7R2v2wd Hx5UrXAIbLKvTVYww/rbtd6udvh25ZT0TgpFE31uerL/VWdLXXXfqw4zf+P4 zcoyDIQ8Rwf7xffTdgKt1aQd97S3vSgr1fwpUIf52emejjb0Sr7lI6otvoGC MLuKShSE2SXYvjYBV4+OgCzy9fawg9GvNTI7gRVE67CHcW7YvjZRmpvpefS3 1Fshj/KyGmsqa8qKM2PDaQTe99Qh5R+mYXYIK4jWYQ/j3LB9baLUMK+qDJdO HLDmz2wxtsIKonXYwzg3bF+bGOrtzoqPDPU6ix6H++FfAs4djwvxK8nN4ImM XYIVROuwh3Fu2L6MmmEF0TrsYZwbti+jZlhBtA57GOeG7cuoGVYQrcMexrlh +zJqhhVE67CHcW7YvoyaYQXROuxhnBu2L6NmWEG0DnsY54bty6gZVhCtwx7G uWH7MmqGFUTrsIdxbti+jJrpYRiGYRiGYRiG2SP2ejyGsQey3V73ZZndgu3L qBlWEK3DHsa5YfsyaoYVROuwh3Fu2L6MmmEF0TrsYZwbti+jZlhBtA57GOeG 7cuoGVYQrcMexrlh+zJqhhVE67CHcW7YvoyaYQXROuxhnBu2L6NmWEG0DnsY 54bty6gZVhCtwx7GuWH7MoLN9xtTYyPdL1tHB/vfrb/d6+roYQXROuxhnBu2 LwMWZmfiQvzOufyg+/3/KLge3FdwJ/HTp097WzFWEK3DHsa5YfsyoLerHapx +eSh9KiwktyMzLiICwf2IeZhTvreVowVROuwh3Fu2L4MmJmcqH9a8fHDBxHT Vl8LBQlyO7mHtfrCCqJ92MM4N2xfxiidLY1QkFtXPPe2GqpSkKWlxfsZSffv JL3uaNvrumiGb+NhPn/+/H5jY7dL+WZ8/PhxzweQrcQO+268W995uZ8+fdx8 b4PFbSoUOUub0w4E1V5bXcXjuhuZqwQ8uuPDg9cv6qAg6InsbWVUpSCzMzM0 SVRemLvXddEMu6cgeBmba5/mp8VH+Hm4H/4Zdrlw4CczTyxe25hAn7BL50cG em0qaLDnFU40H+7E3DB1OnzRs4oSJMhLjR/u6zaVbP3tWkVhbuqtkGtup865 /IDgf+ZoZIBXZXH+6sqSTRX+llhv396u9pSIYL8zR2Apz2O/x167XP2oyNbi 4Nsf3E0Nv+zmenDf2f3f4V5lxkXMTk04pNCF2Zn0qLArZ/9CYtz/ILeTMNn6 2posWXZClMXnobujVaR/+2b1RVV5XIgfDHruj+8pc1SpMDN5cW7W1jtgnuWF +cqi/Ja6asdmaz2P8rNwn3GNuMCu1sa9qoaAFUTr7JKCwKnCu4qFHyLUVZaZ OoUGZhFet7fYVJY40UzwPXXI6LmQuVv+nqRu+BdOr6m2Spmso7ne5+RBU5nD 7cAN2lTnb4aV9m2sqZQu1BEhKz4St8jKstB6h3YoM/E6/sfoQN8OC61/WuF2 8H/KxN5/u8h0P8j1H4vPw4uqCpE+6WagqWQX//p9anzUysu3hqclhcj27u0I B+ZpE2X3s6G87od/QTXwhs7PTu9VTQhWEK2zGwoyOtgv/C1cCpo97Q11rS+e 5acnKNUB8Y8f5MZfv3J2//f2KcjY0ACanabCpRN/mlGQ5ufVOJqbHPfx40e8 TWiFooUmG6F6mJMuXApaqo+L8jpbGuurH99PTwz3dRdrI22q8zfDGvvCvW95 4+Mu6FINdHfBwd64dIEiy+7nWFlW/HV/OiU5/BpkvaejrSgrjVr1Hkd/3dh4 Z3eh6JaKfNBJwQOG9BAaShzoekI6qPUoL8vUwwChN6Ug+k5HRjLM2tPZjn9v XnallI6da0YnC3nimXdgnnaA24U7jJpcv6jb25qwgmgdhyvI58+fgz3OwArn //yxprzY4pCy7+nDsoafrQpiBnSF3A7pB9CgUEYTwGng6PrbrZEQeq0W5mZE gomRIeG7IDfKHF61NkF3NK0g2YnRenu5/DjY80pEvl17Q+NFuDpr5gWWF+ap DYBbLZVgOHwya0N1pd2F0qA9OizT42PSTErz7lLmFYX3LNYQFGYmU3pokIis KMxtrHmCJoQ0JXyskDNHjVJuvn9/4cA+3CVcpkMy3CHoYeHqVpYW97AONilI 7eNH1eUP+1530c/hwf66qornT8pHhwbxc2RoAAnuZyTdiQ2PDw1IiwrNT0+s r3myvLxsNLeVlZXG2qd5afHRgZcSbwYV3k3t6eowpSBLS0svqiuRYew139TI 62UFOX3dr8zXsL2pHnnGBvumRISU5mfPz83Z5Jm1gsMV5GVj3ZYVCqxquz4p vl+cnY6QFnnd4QpyLzmWxqYgBKZKRwK0lukntVHfrW/N6sKJiWGZl00vTJWy +X7jWflDR9XZsVi07/uNDRrTSAgLkB3CRdG193a1Wyyo7H42JR4fHpTG4x6i l4H4CD8P+wpdX1ujmMw4+eDPh81NaA0Ooc9rsYaLc7M0Vpl0M8hiYoBnkspF J9dMsoXZGahkelRYQmhAbkocOl8TI4ONNZXKKT882MgNvRtZ/Lv1t+iko+sE p5eXehu5SYUS/0duTc/0g6uQ6dqK0ozYm3hQa8qK52emtu7Dh03k8CAz5XaI f05SNATRGtH3Ov4H6rO3A1k2KQgapagwNKK96YW/7phocxbn3MHRGz6uRoci 0UYd6O2WZTU1MR511dvU6KVMQaBNod7nZGnQsCzOyZDJE9UwOSIYqiRL7687 inx27LBVh2MVBM9tiKe+AxJ44YSsUWeR/ledjlWQmckJ6j7g7TaVBl7F/fDP 8GYFdxJpECb1Vog4iuYxVSkywMshVfr2WLTvcH8PXeOThwWyQ/BddAhNfYsF oW2m76kd+VW5So10GW1vccimQmk3HMLT0gfKcu/ejqCjFme978TcpGrMTI5b vBxxRfAJ6DuYSlNXWWZ0dkZnmEORJb6fnqi8mXjaL588pDw9ws+dEqCLRDGQ DFqRIgLu9uTo8OhAX5DbSdnpsp4g9AW6Ji0XkoRkXn/tt+ZW7B52KAiuWnax UgWBXqDZj8ZGWlRYwLnj29772ML8vMgHHYqrF07QoUsn/owL8Uc3ARqBpqZS QWZnZkhqDervdi8lDjl7/+1CMXlpCcoaioBSIvw9PY/+Rj/R03Gc51YLjlWQ 5cUFuldoDuG9w7PdUlf9vPJRZ0vj4vyc+XMdriA0vn3O5QfzrayB7lf0AqKB CicjRrRA3ZMyix0QlWPRvh3N9XSNPZ1GOhrnXfRvxL2kGIsF0UCT8HtS0BvV fT0cZFOhfV0vKXFlcb4ysej7DPWaXEf3RT8aOUj+ISs+0vyFwPGODfXnpcbr tmZksk2lFI8HKow2JyoMrYRPNqUgga56rwX1FDF4O0SDNirAOzsxGvmQh4TS URqhIBSQf0ygj/CNaPzQ4CH+hQ8M93Wnzea6r2db0qPDDA7QFb1ySBi6KpQG vRvzd2O3sUNBdIZpR7julvra0aHB1x1twwN9ONpYW92vGFnKTblNp3S0NInI 8u1bis7CwsK/yjLU36tUkLy0rSeh4kGeiEQXhnolqBKNoclqCEmaGBvdSjw5 QfbCEygtzjlwrILgLaYbGHbpvBBu8Y7gMV5bXTV1rmMVRNQkNyXOmvQQDuUW A3RMKBPZ8LuGsGhftKLpGo0uoqaVn9BiiwX5/HNAZ1hpoDwkpkLQYLajUDGK lRx+TZn4RVU5HX3V1mymejSFjUbC0oLJlszK0gIcOJVOiSEfpoaD3qyuUErf U4egOCIeXW/0eZUKgi6SzrBiWXQN8MjRMg/8O9j7WqR8v7FRci/D7dDP9FMo iN/pI2iJifqgmU3x8Et5qbfFqmY020iCE0L/HSFsfl4d7HFa+j6irb7nE/pf 7FKQUK9zUqdtHrjxLf9flC8iyTXhDqAzIk2snElfXFy88OdP1PuQ5dzdudWw yU6KkdUwRxJDlOZvtXOU42lax7EKItpUuu1e9jW3U9IRywg/jw+bm0bPdayC 0Copt4P/W122fxoU/pDe0A8fjNdZ/Vi0r2jDG1VJWucQftnNfClwazRgaHRV c/3TCipC7MKwtVCaXtfp11CVS1NuvFuH89RZmqzp6WijNIUZyWauYmZyQvr0 4lpMTZ8BdIgoWXvDc9khGq2SKQiJpnSMVEgDzXHIEIogkonpOWJ0sH+7lySf cKQF6pAMeZ5v13BFeNEW5+dUsmvSvnkQUwlWVlbQDUFnITk8GDfhmvspatgg FGWnU5rJiXGKKcm7KztdqSAD2w3RqtIiZXFBrvqxi8gAL4s1bHq+5RhfNjdY vExt4VgFefxg62m/E3NTOu4KR3H94lnd9gCX0XMdqCAvm15QVg9z7uwkn1tX 9G8iWnRa2YGuxKJ90dyle2V03x/NU1tUEDS8KZO0qFDl0caaSpmC2FpoT2c7 KRTCDR/X/LT4/PQEtLGl8wKmZjfgKmmEDe2Zt29MdoG/GFaCleRmoOOZdDPI 9eA+Q+Ph++ePS40mpi6A93EXpSs2qiA0plpf/VjE4F7pDJtlzD9dQkFkyXAt FF9ZJB/cy4wNp66NmWxVggMVBN5eDO4pg1AQ+HCKaax9KstBqSCNtVuev62h TlliTNBl6htarGGH4Rsy+vZGU73Fy9QWFj0M3iC872bCs4oSkbg0N5NulFgl IlheXPA4qh/gDbt03mhBjlIQeLNAwzQZXuEd/hGE7IQoU5ejFSzat6asmK5R NtNKUH//doi/xYJoaWhi2FXlIbG8SuwrtKPQhupKWpgtDfDwYk+iqfnuptqq Lbdg3eJAYg0tTMPsGNoPRmWO1vpCzpSHlAqCZ5JmN1aWFkQktamM5iDFlIKg L29KQXKT43SGvZYWL3PPcZSCdHe+FI9HiOeZ3NT46rKHrQ11YoGuUJBnFaUU 09XWIstEqSDIZMspdbQrC00Iu6o39LHfLdaws635P6sgtLnDTJBuuRKtTeki f0FMoI/OMLxsdJmWoxQEkkf5KNf52EpVSQFl9aq1aYdZ7RUW7St29EuH4gU0 LWvNHmraCQ4TKw89LsqjIsRqCvsKRasbNs1KiEwIC8iKj0SHF8pObXtT7W24 WTQRKYGtX2brbNlqrBr9kMLV83/jUHTgJeUhpYIMdOsX9cmGlXxP6ZdgGZ05 kmJKQT5++GBKQWhk7z+lIPdS4uhuPH0kH26iFRRCQdoaX1jfBxEdloZnVcpC I/w8yAFarOF/WUFykqKjr3qbCXijRWI4hC3r1DxRZkXddgSj77JDFGRj453Y hG5qwsV6Xrdv2T07MXqHWe0VFu3b/3rrtitH41eWFrfab1lpFguij9hcOXtM eYg2DyKI6SRHFQovSusqTfWSaL8Pgh0bdsS0SH56gvIoNYeuuZ1SHlIqCH3W QDZ+G3nlolJWlLCCCMwoyDX3U4bH7y/lIZmCDG9/DEHECJQKMj46TDGFmSmy xEtLi9RZjg8NsFjD/7KC2MTqypKZl44m+Ex9YMQhCvIoL0u3NeVaYTm1JdDo pZE3PITS9TZKVLtYy6J94bFNLXNtqavZbg9YXvN5LymGEisXO9Ggov+Zow4v VHhXNPKVR9+uvaGl+NA1O77lK+bflS76y/YI59n93yuXqSsVhFZ+yub60Taj Lvmb1RUz1WAFEZhRED/D3BkuWba8qruzXaYX8Pw0oohTFhcXpYlbtrvGQkFW VlaoD3vxr/3z819tKq8qfUCJywruWawhK4j1hHrpR3dxJ9GEk8ZPjg7TwnXl NmTCGgWprSjNjItAGOjuUh5dXd76hkmg6wnrvwdoHjEmhtam0bnatdXVzNhw t4P/c0hxDsca+9LWOe/jLtLPd3z+/JlWwLof/ln6SauVpQUyQUFGkjQTsUlQ tmNOdEsh7nYXahQ8MDTeFRXgbTSB+IaJ0c/REDAfNEs5rKr/UnSQD51udNNK R9PWlpaUiGDRt8JZKOvSiQNSBXmzsqwzLAuUreirr35MOUBxZJlDLEQTiBVE YEZBbl+/Qnfjbnzk6462memptoa6jNhwsUlQ2uMoyNh6MCL8PF61t46PjjTX 1SSFX9Ntj8xL94PUVW2tJAz1Ojc82L9q2JBYU17ianj2oC9SGWIF2TnCk6Dl KT6aiiYiLcg87/Kj2BRAwFGsv11D6NxertBWX0sxSh+SdDOI0hhdISOawS8b 6xx1OfAJ4iN78Fdl97NxUajywtxMR3N9aW4m7SDT9HexxKwEOomwDi4ZMoFe JEVKRynB5NhWv1459UBTz3hn4f1ofw3sToOKiJS11W0q9IthX+HoQN+Hzc31 tbXBnle52+Pe0JqRfiObSsQ3TEI8z5hZuToxMkR+4EnxfYgdMt98v0F/L4Dy v37xrKn+i1heePX8cUgqpIRWkVEQCkJT+fHX5eNsaORQc0tn+LYn7anHM9/6 4hnilTsKWUHMKEhPV8e5P4x85/n89kILqYJMT01eNvapbaN70kF8aIBIg/ed dojQW49uizU1ZAWxCfoaFQXPY7/TF5AoVD+Sf5iCOolGA7oSssRmFER8w+TG pQuOvRx4tmRJ+8Ro8D192LGFOgpr7IsWeOqt6+JapJ/pgAlknt+MgkAvaNDP 8DJ+LzZHG/VyNhX6RfL1EmmAZplaxHsn5galMb/TkBTEVPA8+tv0hMnxSRRN 28ylAb0qihQOnGpSU16szGFsaIDWsOm2mygSb8YKIoeaBAWKKQmisbaamitC DqKuevd1vyK3UJyTIU08OT4Wtv3lTAqRV7x6t4dBpNsPCWiKbCkg2g+Dfb1W 1rDL8Ek0He8HsRr00KWvBrkFo4PV9NeFjIYg139kicXXuZXLY+i7DQhorDr8 cr4YvsEb6n1O+o7rDIN1UQHeDdWVZj6dtLdYaV+00h9kpki3V5xz+SEu2Ff5 Fdmp8a1Nvj7/HFDmMzU2QnOa/3rUv12aa5/usNAvXysIkgV7nEGHxdRI1+zU BLUnLf4V13fr6+hX0sfcpAGnox9kfoaCTkfnBVKIjuqdmJuVxfmoPE5EDnha vkg+LDk3bXxBuH4UNC5C9lxF+LmLaSBayYb6yBVkew8OKiDLM9/wIY5LJ4wY SG3YpCAWWZiff9XeWltZ1tZQJz4qYgakaXhWhcSzM9MWEy8vL0MyXlRXtje9 QC9m57V1DnZJQb4YxnLxInc01b9ub15eXLB8ghaAQ1iYm+nuaO1+2To+PKha 4RDYZF9cHZrcbfW1w/09O7m09bdrvV3tML3Fj6FZX+iblWXccyQbHezf+So7 JYb92oOdLQ3tDXWTo8M7uXxa5Enb82nXfFFWqvlT8LLMz073dLShV7LDTUza wrEKwnx7dk9BGDXA9t094OqVU/Cvt8crjH4HkpHBCqJ12MM4N2zf3aM0N9Pz 6G+pt0Ie5WU11lTWlBVnbi/+8T11aPO9bRsY/5uwgmgd9jDODdt39xDf8JGF SycOWPM3uZgvrCDahz2Mc8P23T2Geruz4iNDvc6ix+F++JeAc8fjQvxKcjP+ UxMZO4QVROuwh3Fu2L6MmmEF0TrsYZwbti+jZlhBtA57GOeG7cuoGVYQrcMe xrlh+zJqhhVE67CHcW7YvoyaYQXROuxhnBu2L6NmWEG0DnsY54bty6gZVhCt wx7GuWH7MmqGFUTrsIdxbti+jJrpYRiGYRiGYRiG2SP2ejyGsQey3V73ZZnd gu3LqBlWEK3DHsa5YfsyaoYVROuwh3Fu2L6MmmEF0TrsYZwbti+jZlhBtA57 GOeG7cuoGVYQrcMexrlh+zJqhhVE67CHcW7YvoyaYQXROuxhnBu2L6NmWEG0 DnsY54bty6gZVhCtwx7GuWH7MmqGFUTrsIdxbti+jJphBdE67GGcG7Yvo2ZY QbQOexjnhu3LqBlWEK3DHsa5YfsyaoYVROuwh3Fu2L6MmmEF0TrsYZwbti+j ZlhBtA57GOeG7cuoGVYQrcMexrlh+zJqhhVE67CHcW7YvoyasUNBBvt6ywtz 06LCYoIu56XFP39Svri4aDTlyspKw7Oq3JTbUVcvxYX4F2SmjAwNPHv8qLr8 4VB/r0i2uLDQ1viiND87JykmOTz4doh/WlTow3sZo8NDsgwHertxbk1FCf4/ OTFeVVp0J+ZmTJDPveS4jpZGUxWempyoLnuYnRQTHeiTHn3jUX726NCgMtns zMyTkkJkFR8acCc2vDjnTmv98+XlZVmyjpam4pwM1DDxRiAurfJhwfjosH13 yb7LkcEexrlh+zJqxlYFgVc8/+ePut//TxquuZ8a7JOfPjYyHOHnIUspAvIR KSEfRtOc++P7nORYaZ5w3XTocfF9jyO/ytI/uJumrHBjbbXX8T9kKd0O/Qyx kCarKS/xPPabsg5ef+0fHx2hNDPTU+G+Rq7o7P7v8tMT7bhLdlyOEvYwzg3b l1EzNikI+gXk3C4e+z3lVkhuavwtf0+KcT/8C1rRIuXCwrzfmaN0CP9BzwKN /1Dvc2YUBC73ho9rSkTI3fjI2Gu+rgf2UUqpqxcuVxQa4e8Z5HZSeHK06qUV RsufDnn/7QIxQqFo3qPyFNnV1kLJOluboFaUYXTgpXsp+m6IqP9Qfx8li7rq TTGBrv+gs5B5+xYqfOHAT4hJCr9mx12y9XJYQf6DsH0ZNWO9gsD1uR/+GZ4N Lk46boPWO3m8O7HhIrIgI5kisxOjl5b+Hb2BS1QqCBr59dWVc7Oz0uJGBgeo 7wCnqnS5Pv8crKuqEENMFQ/yKD4vLUEkRoaXThxA5M3Lbug+iPipiXGff/Tx UDSKSYsKJQcuG49qel4d4qmjIa+xkSEqAhokTYPccpJioHp23CWbLscU7GGc G7Yvo2asV5DCu6nk1tqbXsgOoctAbebpqclVw/SH2yGDF3U9if9LU87OzCgV xBRo5+tb8n/tV7rcudkZacqlpSUaBUoIuyoiS/OzqWujnKcgF40KLy4s4Cck Bj89j/1makIHtDfVU9HI1kydrb9Ltl6OKSx6mE+fPm3sAJz+zZ5GRgnbl1Ez 1isIvBm1lpWH0IPYGhdq148LjQ5vNdcrivJlKc0oCE0lZ96+FRN0GS1/v9NH XA/uM8yG/CDSCJernOAO8TyD+HBfdxGTEhGCmMunDjXXPZOFB1lplA8NEz24 u/UzNti3o6VJmTlYmJ+n+nj9tf9Rfvb05OQO75Ktl2MKix5mfn6+Zwfg9G/2 NDJK2L6MmpE+S+Y9VbCH3qfd8LmgPNTd+ZI8YU25flkRXDT9bHlRK0tpVEHg P+9nJKFxLptK1m3Np1ulIDRrj96EiLnuddZohtLQ1qjvKQz29aAUEYkOFPIp yEyRyURq5HXpuf66Y4k3AmXXaP1dsvVyTGHRw8zNze3Ew+D0b/Y0MkrYvoya kT5L5j2V76nD8GnRgT7KQ2J2o+JBHn7WVpbRz87WJllKowpC7XYE1wP74KVL 87Iaaqq62lpoFMtKBbl15aLM5aL3gRiPI7/GBfuZCv3dryhxR0tjmPd5mb5A SgozU0SGKLSy+L7nUfmSLZzY97rL1rtk6+WYwqKH2dzcfLMDcPo3exoZJWxf Rs1YryDhvu46w5JU5SG4X/KE9TVP8LOzrZl+vnj6WJZSqSCIod4HugwTY6PS xDS4ZLeC0MpboxU2xejQ4LPHj7ITo3GWEAjZVSwszL9sbijJvXv7+hX3w79Q msALJ2y9S7ZejiksehhG07B9GTVjvYKkR98wNMv/J1s0BcoK7pEnpCY9hIB+ psfckKVUKkjDsyqKqX38SJZ4hwqSGRehM8yki5lrm6irqqCykI+pNLgVYqxs yrBM1/q7ZOvlmII9jHPD9mXUjPUKUl3+kNxdSd5dafzS0pLvaf3QjfffLrS0 CVAb3vXAPvRHRMqxkeGk8GsyBampKFGOa60aNqrfDvHfiYKIzSCJNwKVl7O0 tIgrov8/KSmcmpyQJUARNDlCK3X7Xnc1Pa9R5iNm4XF1tt4lVhDGImxfRs1Y ryDwckGuJ8mlPy7Kp4Wv46PDEdvb5aRb/xprn1IkugDRgT53YsP1m+/+/EkM DQm96Ot+RTF+p4/UVpahJT/Y11NVWuSv29rQZ7eCAFG3qKverzvaUWcIR09X B+rvrzuGeFpsfOXsMffDPz/ISkPvgHIeGRrIT0+UTnyji0T5N9fV0Az7/Pzc y+YGVBvxvqcO04k23SVWEMYibF9GzVivIKuGvdti5P+8yw9oTgtFiAzwkrnB wswU2YwzJaP/PC6+L1LGhwYoU4qwEwUZHuwXSqQz7MWQrrmSKoiIgcxJ58qR LboPq9sKIoLX8T/E4jH8p6Gmyo67xArCWITty6gZmxRk1TDXTPvvRHA9sA+e 0OgeCjTRc5Jiwn3d0QXISY5trX8+PjpCZzU9rxbJZmemkyOCpXnC65bk3SUN Qi9GpHyYm0keW1kcaVO4r4csfnFh4cHdNPElE+HzI694PX1UTGnqqytRQ9ly Yo8jvxZkpojpjImx0by0eNrMLg0oUfkVRCvvkh2Xo4Q9jHPD9mXUjK0KQsDn Qx3qqioGeruNaocpxEcUlV98gtdtrH0KZ/66o92mPK1kemqyq60FKjbY12t0 7/nS0uJQf19rQx3CUL/xNPp8JidRw8ba6tcdbcrZEyl23yWbYA/j3LB9GTVj n4JYg3IF1MLCPK2w1X8/ZHs2mdkh7GGcG7Yvo2Z2T0GgFMEeZ7ITo8sLc2vK Swrvpl45+5fu6y11zM5hD+PcsH0ZNbOrCmI0JN0MorlpxiGwh3Fu2L6Mmtk9 BSnITIm6eunK2WOex367+Nf+UK9zyeHB9B0qxoGwh3Fu2L6Mmtk9BWG+Dexh nBu2L6NmWEG0DnsY54bty6gZVhCtwx7GuWH7MmqGFUTrsIdxbti+jJphBdE6 7GGcG7Yvo2ZYQbQOexjnhu3LqBlWEK3DHsa5YfsyaoYVROuwh3Fu2L6MmmEF 0TrsYZwbti+jZnoYhmEYhmEYhmG+OXvdE2IYhmEYhmEYhmEYhmEYhmEYhmEY hmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEY hmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEY hmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmEYhmGch/8HdDTsZg== "], {{0, 428}, {534, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{267., Automatic}, ImageSizeRaw->{534, 428}, PlotRange->{{0, 534}, {0, 428}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.765277685725293*^9, 3.7652788915167437`*^9, 3.765279006123939*^9}, CellLabel->"Out[13]=", CellID->1794132501] }, Open ]], Cell["A larger dataset creates a larger output with scroll bars:", "Text", CellChangeTimes->{{3.7652778537613373`*^9, 3.76527785774329*^9}, { 3.765278080893821*^9, 3.765278099651691*^9}}, CellID->886437160], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DatasetForm", "[", RowBox[{"ResourceData", "[", "\"\\"", "]"}], "]"}]], "Input", CellChangeTimes->{{3.765277867763835*^9, 3.7652779041266193`*^9}, { 3.7652780010050917`*^9, 3.7652780044461403`*^9}, 3.76527806685443*^9}, CellLabel->"In[14]:=", CellID->459509262], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsvedzI9eZxut775f78f4Lt+p+29py1QZ7a639sKFcdq3XXudsS7JlOciS LVm2ZFuWJdlWGGlGk2c4w5xzzgHMOWcSTAgEQIBgzgn31/2SZ5rkDAUQGAsa 49QUq6dx+u3nvPE5HU7/v08+96Uf/Z8f+9jHXvi/+fOlJ37z788//8TLX/5/ +M9Xn33hJ08/+9QPP/vsr556+qnn/+XJ/4ud/9//8bGPpbChbfvObAcHB/tB t5AIeagCw6T5M66IMj/c9ijZKDxxni0k+FP8DTp8qIYcPuUgfISERE74IAmV kFDJCRMh4aOT8EESKiGhkvOBQg70Jsx2Y2NjZ2fnBN1lj8PhmJubcwXROHx2 dtbpdAYj5ESz2+1BogrP5s+4Qj52BIZQ2iPf/FFXaFX6MCIo5GKdekNg8M6J kDPOcsavH9hCCPKj1YJ3SFFd8OUgeDDhgySEYILx6tAiecTAPHoGEiHBg0EI f/+mwBDvFosFZgv75VwLCwsnGO/W1hb7V1dXV4JoHI4Qr9cbjBBjW1paYlxB ogrDtri4iFHOHpc/fQJqy8vL+Al/QyXw0W7+qOthqBSjY/oQCgy5WMZLAgk+ XQgqYvy+P7GfX88tOYQgP0KNUZ+hUv+F4CrBqy54MKFCAgaEBK8WSpvb7Q4G DBiQEA5IHj0w4WYgj8cTpE4QMj8/H2R9IYJAQjIMHgxywgrMGR2oyxMTEzDb tbW1jY0NDLq9vR1hvB9WizDe8G8RxvugFmG8YdsijPe+LcJ4/xbAhJuBIoz3 YYM5owN1eXJycn9/HwXyF7p74jJvhPH+NVuE8YZ/izDeB7UI4w3bFmG8920R xvu3ACbcDBRhvA8bzBkdhPHu7OzQc1lvnFQ92XuC8W4ctUBRGRnvmt6CGdTK ccarUAUpMxyakc2ur6/LuNgItE9AzUjPRODm5ubfFB8IqBnVhZbQFUo7oTF/ +gTaFDUNSQSdFgvCIMWeIJMy6nOjkuJyWntGxivOz0/nBimHPxrZ44xmJJlK pYGO+gTPPHfyMYLhWCXt3EjEgueIL8V4OVANJ1AhRkJFBAmYQOUoQiVIREhI kJwjBk+AkeEEmhweHhhEBQTmBJLzZbn7Gkh5b0BIhPEGk8aNjBch50vdRpKp RnQOOYrxIkclBOQEpBkjGHne4BzqXTEwXpFz+nBhvGpNBiPXPcF4GVFeXl5q ampmZib5KqAqoxgvo+jv7x8YGBDPP0dQS1OMl43c3NyUlJTa2lo50TmkhU9T bJY2PDyMtpOTk3t6eoy1yZ8+ATVFz2hVVVUos6CgAPUGw6If4abUhf7tdru4 X2FhIe6t3M+fPoE2oaYc3t3dPT4+LuEcPFVTYru6uoIUayST09PTaWlpzc3N JJBAK9SKgfGiRvSGh5eWlkq5UYwXZZaUlOD/9fX1K3oyCRTk7Oxsenp6VlZW b29vMPw8/JuRZOKQOTk5OCTWCZQ5KJ7JdmdnJ0JQ4OjoaEAOo8Agrb293Wq1 Ur4bGxv9v8JjRGKz2cCQkZGBGyzpzX8kwniRRpWsqalhONXV1YFeglM0hg0i CLfHo9ra2iT8/UcCoeIQ/ppMpqSkJJKw2WwOdDZ3Akl2djZmCpR+KDBII9sQ fYxoaGgo0FmJAjM2Nkac5ufnU7Ckcp0DDH+xDjYqKyvDZ/x3XYUEUbAdaqVg CIh+GGFQJdEJdIgIkpwZEBK8HWkTExMgUfk2IJ0oxsvhRB8Ow7jORzL5i7SW lha8pbi4WJWAgMBIyDAiydXgIaMiSiqL/2DIAJx9ZmYGE2Po8vLyvr4+srT/ GlZgUAg8k+0TMwJhvHSwWCw2veFLxhUbFOMFzJUrVxCC905NTRHR/vu/YrxI q6iowGHYwOhsnO/hBMV4sfv169fB/P7774MqhA9OfChNsVlGd/PmzcHBQbwI oxvHdboPifFEn4CaomdoNTY2FssmJiYSy8HfxHkkm1IXhoiPj6fO4tvo33iP 1dgnISFB9QnmzppQUyKXUkiCIkkSzuco0A8SSz1qbW0NRqyRTDJSUhZ5j6wO 4edvQOVSMSJSaFFREXkJQk65lAIqjJcToX+0yl8yiZQP/0GyTeDExcUhljiS 4vWokl5FMhk75qCUkC0JdrKH/2RV8Uy20VVUVBQKHBkZ6e/vx0D+e4sCQ8rK zMxEAjIJE6i4nwnHiISKz0BAAullWhSQBYXxruizAPyfOOVvQ0ODTKz8H44i VPBD6DdaZVx1dXWBEipBAr3kWDQMyezo6DgfEuIF7tHU1MRfeQX+HOyOeSt2 IduwAU9AiP9PQCkwHAIYBsVYYPKU7IBKldIMPsZMDTAoRwbl//xIIYH/k0/w eWSyjdv4yaaMMPA00gXHYm5s7b/LKcZLGHJ2GCZIYHQ4nlBWP+UoxsuIyNWX L1/GadkjVvNTiGK8BCMJoaSkhGTLvI//BnRlRpFMrMwsgL9ENHFETpZrFP6D kasZ0F1YoqiXkgQBDpTx0h8YABDPZ1qNmaSDMF6Z5MoezggdPc14gfTuu+/i /5gbr8N1/Z9+GhkvMNDq3t4eY2HeF+Q1XjwHroscKhe5ItCMF25NsVlyHYSB qQfDwUY4pBqX6oMRT/Q596U5dY03Ojr6zp07RFBlZSU56mE8OPpRb0pdeODd u3dxRbIfaYeEc5rx0geV0ofSc6JPoE1RU/Iks5Lt7W3iiBwV5KMISiyFgMxA hJ5brJHxskH2w435SwYL9JFLYUQkJUobJUYuwJIxmNsqxkt6R7cUwZiYGADD MfzxfyPjZTp57do1ZhBM8dLS0hobGx/VxxsUyURpDBbnxL61tbXY2v80buSZ 2AKHkeTDfnLvORgvhsjOzh4bGwMVhsYcfpZaIxIOx/SMgkIG9fUTgzTFeGEd OADhzF8IPBHt/7sSRp7J/AvmgG4RQqH0/xqXkfFSW2/duoVjd+rN/7mnEQn0 8uLFiyiEfI6VyRj++7bxeiaF4MaNG5iJ5EB59X/ObgTDKK5cuUKZpkgxwYSN BApmRdcMLgf3xmTM2lC1nznKyHghUYyCIWAg3Mb/4RgZL1NstAoYFEtiD2jO KGRVZgEg4ViCEUJ1DsYLcuatZFcchr/UF2zk/40SxXgZFzmQTMig8H8GFdDc 30gyo/UGGBIymvF/siZg0A9JALrLNFYetcVbzsd4MbTJZEK3KEqulshcQDFe UaBQ0/syXkTdvn1bug0MDEiS8ROGkfFW6o3hQH3RDHv8FGJsivEi8/r169j6 5s2b6AqS9pGuWYrNEtfkGVwRB8Z2OKQal7EPo5Y+2NTYJ6BmvMZLNZTbAcwj mN1ErvGebqIuNoiFqKgoSB354erVq7ifCszTfajL9AkorZ1oRmpKRcbWUF+m 9gHd9zxDLDlKrvEiH+53DrEnGC8lm4FDAPgbqGcarwHKzXeLxQIqyo2R8UJR 2AldoWSQBPzBfOIaL1GGtyOQUZMVP9Lz5TOa8bIqxIOUghKgZPCi813jhTDE xcVJuURIQH4oYMQQUBdyF2ZFGiY+H+NlRPyXSs2Izn2NF1KHx0K8oQ1ydegc 1K63t5c4kutUhOf5rvGSyUdGRvB5xMqNy3Mg6enpwaUJDZQDk5HQDgiMTEmQ gHUYDnUWYOdgvMIz4d75+flibrlFFRCYFZ1qAgAuRD7BTJS/cyDh7KhFrsYj zf9sbITBQMj28ijOuRmvXOMVJAwnoJvdivHiqyiWEsNfajdgzsF4cVdiBzxM IuCrOAyJMVDGK4/bEThypwYk5O1AGS/9US9qwUPYg4mx17mv8VIRiGIGJdde RC3+M17AEDjkJRSCNHi4/4ZWjJesSOgx3YNNgYe5CYY+BwcwMl65tlNbW8u4 yA8f6Ud5jW+loR88OSYmhg1jdJ/ug5ee6BNQM17jpWQgDSvj/zCBCOM93YzP 6BJNBAURgScbLwo9qE8wb5craoqtqT5IYyM9PT1UTzUYxTLTP8flaCPjJavc unWLBFhfXx/Qo24KlfgexxICOCSQ2DY+1cA2dFrN6GUW4D9ItsmlSJAnrMj5 /t/i/Mg143O8sClmCvHx8STMgALc+PQsiRfmgBxMU1lZCQEO6N6uAkOSkXoN eZDJe0CMVzyNiT/DIXcFWk3Uc7zgqaurQxQDgfrCZwJ6qFg9sMpwcHvAoJzz PUhA3oAWohOGYzKZCMbzIWEgqIVwhp4xKQhorq3AQD+ysrKoCICh6CPnfPSb uSR5QJ7JJ079n02sHNcMU5Lbt2/L41LneI6XDSYCqAUJqAUbEQt++q0RBnax Wq1yoSmg69XG53hBwnQbrktmA09AyUeE8Bc2hRzEQn0JQ/hPoA8S8BdR0Dli GTDwKKwcUBwpxjs4OIgE5DA/Qg42CvQRC3F1KiYKQQ7mZjYNhT4H4wUMzk92 QpRQVulw+qmGBzHeFd3oXr35PxBpq8dXJ2Nc8hSKXFcMSJQ041oNy0dvLErh Poe08Gkn1mFQ5jOO63QflBnMi5/LhoUFZF7P33W9hWJMj1pbPr60hbpMZMwz /vQJtKlFFYSzSTQF+qrOQxVrZLzyFO65sSlGJF4ttEReqTCu1RBoIjoB8nwS PorNSDJRo5TvQF9RWT61VoOU3XO8sW5cOEKKXTBrNbCNTc/xxvrS8dXJ5JrP 8tESK/6DMS5+tai3QHViXPxKRSJylgN5/e2+SOTNnWDACC8637oECowaSEAj OgFGytNK4Ct7nFCL6Fa2zwHj3G3ZsFaDnF2u94oDB3qN1whG3uuBhwd6WVXO K4qVHBuoodVsQqJS+a3/Ek6AETxq/YeA5Ki1GhQYGZoytJHxCub7Ml7Jjedu HC6MNxghxiZPSAaJKgybVPOzx+VPn4CauMHKUcKPtLObP+p6GCpViyqEtoVW rJDJ4J1TrRl1uglfCkZ4qEB+hNqKPmt4kEr9b8Izg1RdSMAEj0Qx/yCRrBgu cwWJREr8h4jkkQQTbgZS99PPDUaEnKgvcpHB/6IjrDLI5C9g1IJg524hBHNa M8ZG7RDGq1gu25ubm0bGOzs7K3LO3ThcvkkdjBBjw/dsNluQqMKwMS673X72 uPzpE2hDmfhbCAU+2s0fdYVWpZgbo1PiQyXwIYlFVPDpgoYQ/Py+P6FVMAcj PFQgP1rtDJX63/4K9v1rIsGXEBJknHI4pc3hcAQDJnyQPHpgws1ATqczSJ3g /Ag5DSYgsQQgOpFLkcGAkREFqZnQgjmjA7VjYmLCyHJPM165IRtkC+0319Sb QY9YkycWgu8TUFuOfHMtkOaPukKuUrmwGfKlM5ZD8SkuozT1iOzDQyX3OM6t W+NLT387LSSGDpXqxILBgAkVEhESklvV8lrTI4BEwITwm2sfOphQGSgkOpnX eW8wQlb0F6LnQ/fNtZCACVJICMGcoV6py3KN90GMV97A9QXdELK9vR28HGkH BweoKFTSwqft7e0RU8H3Cag9qsp8SM0fdT0MlRKYxoWyQyh2d3c3VNJAiMAg haC9M1Dt7+8H6f9IDh7kR6uJSkkdQcoJiX2xYPBgQoIET1hdXQ0SCbrd2tpa W1t7NJAoMJjp0QATQgMFrxNZaDEYIT6dlW1sbJz+XlhADWdDiPER1nODoYUP mLM1I0tAnM14Q1IdjA9OBN9wPKYDoZIWPo2w+kCm5E+fgBruceLT0pF2RvNH XQ9DpdC8EM4ZjWJDSKRBGPx0TBjRg1DxK/4fjG4B+bfGeEWlwU9tyOEhYbw4 SZBgQoJE5j7B80z5wPGjgUTArKysPDJgQmWgkOhEvuQbjBCfzsqgzUHSb8YC kpCQTMAEz3hDAka+TXwGGOpyhPGGT4sw3vBvEcZ7Rosw3vBsEcZ73xY+PDN8 kPgijPfhwPBFGO/DBxNaxjvY3Z6fEluckbgw71YdvJ65uVmbbHOiFlNFXlJ0 V1Md27PWmY4GkxIrwzGZTM8///zExMTFixdfffXVGzdusP/27du//e1vo6Ki 8Ku0tLSXX375z3/+8+TkJP35769+9avGxkYq4DvvvPPee++hHMV42Xj77bf/ 8Ic//OlPf3pIt+YLCgra2tpk2+PxvPnmm7/5zW9iYmLu23lubq6rq+v0foos Y3S7D/VG7Lz22mto/kQ3xWax2l/+8hf0I5+qQSGXLl2an5839tne3qrKzy7J SmkoL9rbO3/5UPSMZrPZ0Dy2kM+gv/TSS5cvX/Z6vfX19S+++OLrr79eXV1d XFwMnrfeemtkZIQDAYnhsOYLL7yAZuLj42W87MzJycFq/MVk6PDChQv8NzEx kW50xpQY93e/+53D4WhtbeVcf/zjHzG6xWL5/e9/T4LikP7+fkRdvXoVt2Hg paWlMzMz5x5pSJpSF8Cio6PBjypEV6hufHzc2Ae7tJqqitITqwuylpeCmqMJ 40UJ5eXl77//PposKiriLJiDU+OWOGdnZyeBQJ+qqirUqACPjY39+te/xqPk E+GvvPIKmCWuhfFySGVlJXLeffddl8uFD4u5CwsL09PTGSMOj0/yE2PEyTkX G7LmOdZEWnNzs+8442Xs1snR7uZq+e/mxnpTZV5x+t2hntbNjbX6spzy3MSO hvLV5cWO+grzcM+S1zM1Nug7znh3drZH+rvNQwOq1gjjZQMPIXvgMxkZGUAC OZBwD3xG2SI5ORlfItbASbeEhATfEeNFLQyHw+nJ2IFNeiGT4PBIKykpIQpE SEdHBwLfeOMNtId81EIk9vb2om3CgeEjhCyB5slshENWVha+zUnz8vI4UW5u rnxZiT6chbhAMrFAQkAseua8DATroFUJBESNjo4yEMyK2hsaGkiYwTiPkfFq Ku3tmhgd2t7aHO3vyU+OJYFsbWk5f3dnZ6i7oygtvqY4b8EzNzkyWJiW2N/Z oul83i13h8Vt2F5a9LbVVW+srW5vbXU21BRnJlknzXI6qk5jZXFpTprbObu2 ulpTnFOZn7W84FVgFOPd2d4e7umcHB3a2911OewlmUnN1eU721ql2N/bs0yO F6UndDbWAmx8sLcwLWGgq1WEHEOyMK8hWV9bWV6syM8sSkuwTByG4dysvSw7 taogCy+an3Ox0VBRsry0uLm+Rn8jz1xfXRnq6bRNTayvrQ52tXEuZC5553va Gsty0ge72um2urzUXFNG1nXaLEgzleSN9HUZCdX+/h5n7G1r2tzY0DpX0znL aT+MxEWvu7Ykn38L7rl5tws5jZUlqytavBiRrIGku8M+PUmGt5jHyPDdLfW7 u1o4oGr0UJKZQi2GOg10tpZmpZiH+lWk30Oyt+eatfW2HyJpqi5l7E679RCJ x20SJPPuebcT64BkbfWw0BvZ3doKYNrtM1Og6mltKkyN62yq2905nHpjvhnz aH9n6/rqamdTbXlO+sTI4NbGusflOAXG2tveTBKYc2gWqcjLVGqh4RtdzfVe t8ths5TnpuMDmHJpfp6THgezPNjVYbdMoYfp8ZHSzJSe1kapfeLMaAMjwsB6 O5o5y8Tw4Am1IMdls4Bka3NjZWmxsaqkqjAHSALDi1qK8+rK8he98x6noyIv A72t6wcqGDgnCi9Mi0dp2EhpHiU7rDNH/91f8Lj7O1oZkexYXVlGhwbGe7Aw 76kvK8TNOhpNOw++lMEhHpdztL/b7XSonYrxYuL6sqLijKS+tiZ0xU9o3j4z va2HM+Pi1/ryInxSjDXU24mW9vTQUyST/YM97SUZybiETR8Rh89aphEl20M9 HeXZaRwrYhkmaldKU4yX/b2tTey3Tk30tjYSIA8aFMgxX2VeZkeTCSsYwRDL eBTKnxgdJopddivSto8zYU40MTwg47VPTeDYNUW5ABb1horxIj/qwutkMEYE SLIQsTxrmWqoKGL/jHlMrMOvtumJhGvv4hjNNeVJNy4pscJ4Kbjf//73cb9v fetbfX193/72t81m809+8hNS+g9/+EOKCKWZOgLD+c53vtPT0/PjH/+YokMH iBNFZ3Z21sh4gff1r3+dkkR1QA51jfHW1NRQj65fv06taWlpoR5BAChSsDLK X3d3N65Libl27ZpUZ6TB06ja4EEOBYiyJe9mcsbPf/7zHC6jgHtD0tjPKah9 sFCYAJaC+XAItIeq+h//8R8UUNACoKysjJPeunWLGkqZs1qtYlwG+O///u83 b94EP7SBYg179BnYLNwYLTEK9oMBpgfJoUQa+5AqU6Ku2C3T5Imx/p7G6pLh 3q7OJhMx67BNW6fMNYW5VYXZZIl5z1x1fnZbXRVh2FRV2lpbubWxYYwpoWd4 C0QUpcF70T8lG3IF/ri4OIZJEUc/8CjwUMpra2sff/xx/svAGSZeRH+6MVKf PtXCZP/zP/8DSYASMExY02c/+1lMSemHTrPTbrdj7p/97GdsPPHEE8PDw5yU /1Lf//mf/xmL0A3GhbY/97nPwSUQwqmhBA9y5r9OM6rrmWeeqaioGBoagkox N8FM4DT2IZlkJ0SN9vfO2W2WSXNTdVlvW+Ngd0d1Yfb4YB/lhqJDhieuyRp1 FYV1pQXeeTc1pb68kGprPK8wXhqU7F//9V/xeagXdPfpp58mpuClsDW8DtXh fniLmnmJv2EmYgGT/fKXv6QDswy5YiyMl9jkkMzMTCyIxfEBhGNujILO8X+4 H0bHHJ/+9KcJAY5ipkk3HJ6BY0dCgBMpxnuwv++0T6fffbco/e4RjB2Pa9Zh ncpNvOadc+TEX502D64sLthnzGU5cdWFqW2mEs/crM/AeNEeZTT+2rslGUlk HpGjGC8RDV1ED4wIDk8w4q5QxHn9s5JsQHeJ4oGBAYxCZkBL+J7viPEiB1b5 i1/8gg5PPvnk4OAgqYZJFqOuq6v7+c9/Tn/yDz6JldnA4dmJJv/t3/6NiIa+ MhF76qmnAMA0jfSFhGeffZa5uRIrAmGw6AQnweeBBLMlD2AL+mdnZzN5JJNg EQKEuCNqiHo5FzblXPRBtwRFME6rGC8kqr2uGpWWZiaTN5hlOGdtxRkJEyND Pn1WUlWQTd4mUSwvevNT4jTOmRpvHhmoLsj2HfFMHBualBlzMzXqSk9bk8M6 XZAaB90tSI2HmlJPYRplOalTo8PFWclwRbyaollbUqDACOOlkJGU4q9dKM1O JQQgkHTG88ljdIN5FqcnwczLctJG+3rg4ZYJc2F6vFe/bqCQwAcyYm6ApK+j hYoMBxgf6s9NitZcbncXLp2fHOOatXs9c93N9U2VpXSrLS3obmmguCueCV2B GCTduAjVn5+bY/jjQwOl2VDNBujEUE97ZUHW4rxnYnSQMj0+1FeSmdzeYGpv qN7UHxoUQqVTdHN69PXsuCgoq3lksDI/c2ywt6ZIm/KjW6ijkGRKJ3qDTcEQ 2htqfAbGC5LasgKQmErzrRPmurLC/o6WhoriqfFhn85nkDnS1w1Pg2eyTRrh r8ymFRLkWCbG0u5ez46PQvOYQ0MyAJLcfR3JQGdbbWk+cw3M3dPS2FRT3tPa oC5PKXZHocd2gMF2Xo8LDUybR7As7EISy8zEWMrtK3BLNspz0ig6aAYKB382 gNmFHqTduZYTHwUGEh3Eu6+9mRwop4MNUrM4C79SngY727BRZUEmbM3ttBvB kC3pBlG0TJnZHuhqqysrYqQIcTtmYdFjAz3wH00zupkgpejzHpLd3WnzaOqd qzkJdxg7fkJnGCBGIV8xA4Kjar6q5+euloYWUwU+09VcZ9QJDKcgJXZ0oAcn gbQz9agtLWQKiavEXn5TZh9MT8yD/ZlxtyxHvGh+zsk8SDFe6i//LUxP9LqR Z3HZrLMzk6vLy1gZ+oSZkAZyUTJ4tEAYGVThrBgv3oUzm4cHmIKBobW2itox PT4Kn8czMSjgu5sbsAgHMEBCiWCZHhthW5FMqF2rqYKoJyFAMnFIDmRcwmk5 b6upEi9qMVURTexBY8k3LxIvSwteQlgxXvYn3bxUV15YmZeRfvc6nqm5bmUJ VB8Si4nRp/B2kjnbmK+zoZbZpX5pSDFeL9wSAMXpiTg58yBcBe9i8jg20Lfo 9SAT4VhfqDLO47TOECD0xL4hZLyoF8wpty4zjYJEDfd2kknS7lwFD9FEdlKH FKbG5yVF0x/T5ifHKrHCeGFEzz33HAOEDlEL/vu//5tq8qMf/Yh6TfmgllEC hP5BfanClFqfTjX/9Kc/UXNVzhTGS/FCAj2FhkEdqXfUjqioKOoL9PUHP/gB tQYeBRngLBQgqhJFh1/5r1zzQT8cC9mDPFDLoHZw0djYWCDBbDkv9UjOBQtV N+OQAzZ4O3WfvxRZ8EMJAANf/drXvgYbge/Be7/4xS9mZWXRmYomKoV4w+g4 HWOHUVPUYH0+A5tlFNA8QEJCoOJojM7UUGMfHPXue28UpMSRPMkzDZXF3jlX X0dzbuLdnPg7jVWl1I6GqpL2uprSnFTczzY1WZSRWJSegM9jNWUvRc+8Xi8F V+6VYCxUKueVjzR96UtfgldA6mBE7e3tdECNcAzqPuVbLmLzq8jkVygT3Ayi hRzIA9UfrbIH01O+L1y4wBmZpKAK+BKq9uk8GfaCNhgyY4dTwbXgV1gEbdOZ ozj1g5z5r9OMjBeL//SnP8XEgPzud78LNSoqKvIdZ7yEJ9ygsbq02VRBaFCR mZ9STOMuv9XX2ZKfFD3U3Vmem0YGaK2rnp2ZwnDpd69h0Iq8DON5FeO9c+cO OhefZ0PmQbgEZ4cjETLwQJwNh4SGyUeQ4WlMLeXqPTY9IVanlhqRZiyYiSkh JiA8MQoCmTCyQQA2NzfjAMQFBJLkT4hhHZwfF/Xp0YHnHDJehu91F6Tc6mqq Ks9JUFcwOE9/R0NtSebmxmptSRZkuKm6YHV5ob4s11ScVlOUbh7qphwrxks6 JQ/HvP92V1PtztFlJSPjxV2Zn0IOCVKmXQQRAwQDActEmIEgBOfEFaXqQUfl 4rwwXsLzy1/+MukCByM2v/KVr8iVcObCSUlJPr3ckEMYNdtEBz4pgcwhRAED Jy5gy6iIw7E4MEinpLhvfvObHIXeILdA4nTQYLkUj8AjbezAwyHqbBACDIQA R5ScCyMinIQGJNyeUQTjtPcY79Ym1SHuytvdLY2wU7lGQcZYXlwQA/W1t+Qm 3NXo5aQZVow5KC6UPPFGxTPdDjvVLTcxmpwDD6T8ra+ukF7I+ZgbxoLJNtZW YcINVaUkHyo7hUOBOWK8mxwImJ7WptWlRcoxszwqS1utdoVBE5ieSO1ura1u qiopz80ADORErt8qJHOztsQbF/OSYuBj2v7NDehWe71GI/Vplw3Grl0obqqj lFPr7ZYpSGxjRQm8S/FMhg8LTbl9GbINQyO1NlWWIBMKV5iWEHflHWqcVvV6 OpmCwV4KUuJry/LVlWRF7abGRpKuXyzPS4eajmjXH+oo7tVFuYyUw6ExQz2d zDGo5i01FbAv6+REQ7mWMYxIIAwpUZdH+7sh6pwFhk+6hsX59Kt2VGH6tJrK UR0jhXdhULl4a6R2k2PDkENEgQS6Ah8ASU1hDlMeqBREDuKNEUHSbCqHUTCb QI4YSLE7Zj0VuRnMJkb7uvmvzCAwBJblXPC94szklppypgnQTmo9dDErPgqK BWkxgoE1YSNcaEWfDmNleBH836fPa3pa6rU7lZUl7IGzlWQmgRPJXbr27oFZ 8EKqU6Oujg32kUXrSgoWvJ6e1kaRgwZ0zXibqstQKVmUOQ6cGY0dQzI8ABJs ramlq53DNbUU5e7ubKMWYEPb5rQ5IAYqJwSgaijZqBMAM2dMibqCS9hntIuN TPTS7l7DRoiFgIkOV5YWOhpr1ZXAebcLqqYYLyHAPDEn8W5uwp2OhprhPqaF 1Q6bBQbO1KM8N72pqoxhiqjlhQXoMa6lwlkxXiIrK+52fmpca20lx+JUGsVt acDZiO7ulnpEMRYsy+gIqO7WhsyYW8Q7FlEkE0C1+ryGGsQMq6owmylVe301 RJpzwVdNxbkYnZrFfvbol2czmMLQGW0oxiv7qXfp0dcQiFYZGmQbc6Ar1Ihp +juatfBf8BLR+ANlDs8kThUYNiDb5TnpzDGrCjLrSgtb66qqi3KYpDAv1maa ddVEN5R45eieKUrIT4klb2jTliPGS5KX73qozyrJTUP/GS95jEBjbNi3JCM5 PfoGp6CUE03My1QqI+HwF6eCgaP2nIS7SqwwXpfLBf9k+4c//CFelJycTD36 xS9+QfmANzocDsoKmZ/ixX8pqXJxj1ocHR0NZUIhDEcxXgYIp+UveygfVBxK DJWFzhUVFegQWuvTCXNiYiLFBW1Q8TkdNY4SSRni18nJSfhASUkJwGC8JpOJ ygiXgH1xFkobPcVvOVdra6vc/Qce1R+ORwmjp5wFIULRoR/8hY1QQEFFAYWf gE2OheVCBb/whS9wOCSZzujBd/waL3VcLr5xOHKgIgzQ2IcpYU7inX3CeGcH T5t3OT1OR1rU1f6u1rzEaKjC1NgwU06YcFFawvLSIrkOJlxfUTTa3+txOZWJ FT1DXULCUTI6ee211yBX7GGaEBMTAwtCydiCAaIfxkKthzNQlAEmzx4I3/Md sXp+/d73voduofdMAeAJKE0+CU3p54yQMcw9MzMDdeTsEGM2oGeIYq7x93// 9wiE1WDQxx9/HOtjNc6FBj7Ep45PXBIHPGbCe+EqDBA3k+dDDhnvznZ+ShxV iWrR2WCi3kHjmCcOdrVnRF8n37bVVZH/qfU1RXlTo8MYk1pQkBI7NtBrnT52 I1sx3hs3buCiTAcee+wxCCcBwk4YERvZemMe9w//8A8dHR1YDesQC7glduzt 7cVz2GDusK83n4HxQpWvXLkilzERgm9LlDGouLg4zE1U4rGYFVPC0OBjzHfo ievirsSIfglRY7za8OddVfnJJZkxce//cc5pW17wbG6sdbfUlGXFbaytkOA4 59KCJzfx+tbmOnygxVRckZdYW5xhmzYrxoucleUl+E/s5bfQlejByHgJ2IKC gtnZWbkQ2tfXhxWkusHViVz64GDQfk3U0Zozxmu8aAMnZ4ykQXpyIGaVBzzo xuHEO+HJGZk+4Ir8xNQAFX3yk5+E/UJuSVkwUvgquuLsdCPF0ROlkWdELNpj vgABJpAxCoqSteaII3nUh3kcEUFnRsR+ue2FU2FKJlP/8i//gsKDcVrFeDU9 LC22mMpjL78NiaLswlpt0xPkVGoiUwzssrG+BrWgElFfqE1l2amDXW2UTp/h WQK62aenmDvzD7+lIC4tzFN34EJej3t0oIdqCDNkitfTovEfqGNFfqYCI4xX A7O42FxdBhjsW1OcCxJqGeQB5rDk9VKs591OmAx7IEJwnpLsVHmI7jiSyYzo G5T+1ZUlijvVlpyIUyFEvw29PTkyRExBBii4E8ODICHuKOWKZwKJlKhd0rl9 eXyoj0Pgz8iBRVQX5sCmUAL9J0YGGqDKthnG1VpbQTj7jt00Z2PDPDTAjLUw LRF6QJV3WKap3agFigXngXXbpsylWakw5/6OVs7VXF3uMzBeHYkDtgDP7Gqp h5lbJsfa6qpH+rvWVlYc1pmaohyH1VJbVtjVWAf/Bxt70PkxJGxsbIwP9UM/ mDVA46nRs5bpKg3JGvKZknTUmyyT42XZaVhnoLOVhANfEgMpdidgqguzU29f GRvqQ2BpZgoUkTS1vLSAsSAh2fFRlHu300H14SzUmvW1NRLBKTB9kFW8yOt2 mUrysTJngS24HHaYbV5yDNOKpupSCMZgd1txRnJ/e7Nw7BNgGAJycKqGiiKc irnY2GCPaEa3lKW2OL+rqR7NuOxWkJNdFZIDHcnYYG/qnau4E/OX5poyu2W6 GrWsrzMuiCV2gabi/52NJpCM9He31VYadUK11Z648M7DD8nkaAAMzKHQYYPO jaXhq7B3JjW+Q8br7GtrNjJeXAL/nB4bzoi5idO21FbapiYq8tLhewSmWERE 4YoEI9VcCb/HeIf64dUQMzTDHNY6NQH9625tXNOJN+plJgLCjvoaXJqd2B0C Cd0lWu9d411ZZmrGDItDcFq8mhSBEGG8tIV5N3SCuQ/y+S8kX/OZrjY9bxwo xmvW90MI4dWQ0rKcVEQBGwaCxaEi+CEqlQdUyDZkFWY60Ejf8ed4GTj0Ep3g Lcw3+9qbqgqyca3JkcHGqjLOOz7Qi5mY3aBZzLGrzdObOaO2TMMR40WgRuaP GttS7/xnvNiJqQGeCQamyVBuckhJVvKi10M4MDPy6Y+BMRHIjrtN6kA+mKMv vSkPtyjGS2WkYsKFnn32WWoBRQHaAxfl14aGBnlSlxJD5ZUrqxQC6C5VlSQp l2fxPcV42aY0QDx++9vfIgdayLFU+eLiYrkPCE2C4lLNu7u7//M//5NtxI6M jEAPXn75ZbnzS13jwBdffFEuFFN9YH35+fnQUQjzd7/7XXWDmJJKieRYcMI6 OC+1EiJBEeRX/sLZOIQixRlRO5SA/uDnpHLHH0PU1dVRjhkCnOSVV16B8FNe Ba1is/ylXsttYkgUgGFWUE3JAUfP+mpTM0oVu9rqqxc8c9SIzNibzPiqC3J0 h5y0TpqHejuJcfKSqTh/cmQAAlaalUzOVCY2PHSqPW2LKhggFqHaYibcA5JD +X7iiSfQGNwJakEf6D1K9ng8zFyYJlC1YR1UcJEpl3yZW0FcGf61a9egJZiY DcyEGhHOQDIyMqCy8IGUlBQMh31RDoNNTU3FS6n+2B2Cp13JmZuTxx1RLzqH wwRW8kPXlLoYDswc6sJAGCbeQszCedDJPZXu7jZUFq0sLTGLHe7rJtWQeYrS E/JSYvOTYyeGBjDTyuICWYhczXykNCuFmTLZuDg9cURPQaoJ45XnonFm5k14 JlQTmvqc3tAJ2oOM0ZOJBq4oB+JpODAa9umJhT74JDjFi4Tx0rAFYhkOVqYz EnBLdmICi8VCHmCABC+jZsKCHXEAho8P4Bi//vWvcWnfyTfXDvTHnyrgug1l uU7bVPqddwtSb9eX5bhs06XZcYWpt3taa4Hkcdq6mqonhnvLsuPmZq3Gpxp6 WhuSbr2fm3BHzdEU46UPPibcFS9l1gkkHJipLtmDbSg6s1EygAyTOQJu7DMw XhwP16UU4tJRUVG4PRFNwkF1+D8qJScgEMfGh/mJKMZ7cU4cmyGjHNTIiYhi nJaCyCyAqTqmx1FxYCgxdJpZm8QLiQKrIZMTwX6dTicImQvjNnTD24kR1Mi5 6Mxkn/xAuOFO7BkcHPQF0RTjRaVdTbVJNy+RyaGO1cV5CVcvUMsmx4bbG6qt kxNt9VUkcGbQsEdoCTSyvryI0kmxU8/xas8SwGbTEuKuvtPT1kThRkJOwt2B rlbMRNpnfg3zyUuKNg8PLnrcFA7SDlVDgRHGCyulRCbduEg4eD0umHNm7C24 JTUFtgBXpHqyB96ytrZC1dbAVBRLxTQ81eCAf8ZdvdDX1uSwWe6+++fi9ATq I3FEEYTUUaqg7lTe2RmtbFFG6bbo8UDmFc+k6DdVlyXfuFSRl+G0WSEznKu6 KNc+Mwn5LMlIajFVQqHn3S4itCAtYWygh+zKeUFovMZrm5rMSbwjF0VREZ3R EsWRzjATFM6kADCgsk0DJqo8J93tPLy7p5A0VpVql2fzs+bnXEM97SBh+jDn sKMrWCu8PTsuCgYC6YJR5ybcha6QXnzHr/HCBrMT76RFXSWNgISTFqXFjw72 QqtgC65ZK/mHnRQIsGUnRFXkpqsnRRW7Wz0CA+WwzUzSnxlBXWmBeWQQMHBX db9+bXWlvb6aiQ90UeOxdusxMJPj2Ql34IcjfV1QspjLb6EZKCUWh8v59Ad0 oUOuWZvDNlOWlYr1tYfx3C540TEwFcWwa/zB65kb6GzLirtVX17sdsy2N9ZA MxCIZrDdonceJ8TrupsbDvb3jUhmJsey4zW1UBPxnGLtpmcikCxT4yDB9HnJ 0WCzTmmlk6KJPzBAo05Qe2VBJo5UmZeJ9WHgeD7bTExKc1K1m6f6rT3kp929 hq6gYPLQO5RPMV48H16XGXOLWtBmqpqZAFVUblI0Bp0aH6EnlcKiPxVPlMDM 6YlLrywfplbFeIlKmCrKZ8hMM+WpV4bDpJVu/Le2NL+xslSGwE7mHcJafQaS yX5cVB4OgaIzPeREY4N9Nv2Sy9bmJtRUe7JooHdXv0yKw4BQTuEzPMer7R/U 9i/oc17obl1ZAYHPRG8M+ZPjmvDRIXyVzsQjkcg8d11/HNfIeHF1poFoQJuX NWjMlo2CtHgsy3RApjzMWNfXtMXiYL8FqXHMOCZHh0P7HO/hfzfWj7LWnrpZ SaTvHd3rl8eEDvdr1HRPqLVivHt629f98PSreXIJ98Q76eotS46SteyMazWI HBElV5lOyJRrO1RzmLA6Iz2Nr0zu6k+AnNbP6aXzjBeLZBJxogOijAqUCZ2x w4n/ygpy6tgg12rY39u772PwO/rzddLhxHPgB8cXFjAO0IhZm5JvbR29/LKj Ouuz8A94b87ogcZtDhRn8OmX60/b7rTrynXvIF9TDaYdfNA6DMZrvA/qI68A nGgMStmOqnHi1zPWagh0JU+j8993rYYT5pZmHI50kF/FiIfj+qC1GuS6jb6x s3WkhL3dHQl8uLHv+JtrCKccqHdjfQ9eq0FuQAhOrabohxv9RJKq7wFrNcgl R35i1GJBYl/ShVTM+75HrL2xcqbyRazxcDnkhAOLMlVWDOGyNtKMb65RQ2fG R90ux9FP2mUrhUe7T3cvpx2cyBXGFRLW11flhrL0vIf5yDTqWFiHeijFd/zN NcBMj4145g6nM/eQKCHbCsAxMMeQrN1DomekHVWP5Mki9abV/pH7HZ7O8L4Y ZZuKLI9GaM/nbB0uMSo3LtUhBwf3gnRfu+JnuJgpr9F55w2vkt3rLCPS4O2o unkPjBEJnGF6fFQe45fhIMcoQclkvzEnnEDCxME8HDAS3/E31wADB1vyHr51 SDe9rJ9MvzqqrSMhB4fhfA/MPopV1wz3dZ+7b9TsGcqT3Ic6CWZsZEl/BfJI MwcfqJljSGAO826F5D5q4YxH+VAjNnv3DKRgaML1++/S33iiXcPDV/rheydq n3GtBnmw574mMLZ9oUwGUX6u1bCn30p7UDd/l0fQ7lTu7D54PZ8z1mowMsOT P2kJb8fQ8wPAqP4nFKXfSN1S8CKrk6mG1YJfFeRht8jqZOHf/FHXw1Dp3+zq ZMI/jb9GVicLtJ1YnUzT3rkUeGJNsPNZ4cTqZOcDExIkJ9YEOx8SI6E6N5jw QeI7tRKXLiSswHwISCKrk50NJshiF56rkwXTPnTG+5FoEcYb/i3CeM9okfV4 w7NF1uO9bwufVXDDB4kvsh7vw4HhizDehw8mJIyX+rIXdEMISIKXI41qOD8/ Hypp4dOwuNfrDb5PQI1YRplybzrSPrD5o66Qq1SmOYRzqAQaxRLjoRIIQlJK kEKIboTIe7v3/RX/D0a3gAxJTvsINZTGkB+kUj+bPPoVvOrOtu9fEwkYEMIM KBghcvdQ6NAjgESB0R6EeyTAhNBAwetkVW/BCNnTySHDCbK+MCKEBF9TAMOI wgSMqPdBYNhP7ZiamjqD8YLE6XQuBN0cDofb7Q5ejjRgz87Ohkpa+DRo0geO y58+gTZ53SbS/Gz+qCvkKiWCPB5PaGWGXCyiEBikEKL7DFTBx35IQH60mqiU 1BGkHHJ4qOwbJJiQIAED1S1IJAwHMC6X69FA8uiBCSsDzc3NBa+TOb0hLRgh jAUkwbMyAROkkBCCOVu91I6JiYmzr/Gefo/pHA0hIbwnqz2W/3C+sPbhNqYh H3hT2J8+AbVHVZkPqfmjroeh0jNu9AcpNvib3aqBMPh7zWjvDFRyTzwY+XIH ORgJH7kmKt0L7p6sL0T2lUcsggQTEiR4QqBvfZ5u8rJhkLeqwweJAhPkTfPw ARNCAwWvE3kGIBghvqO33YN/kECW7QoeDC18wJytGepy5Dne8GmR53jDv0We 4z2jRZ7jDc8WeY73vi18np4NHyS+yHO8DweGL/Ic78MHE3lz7aPVIow3/FuE 8Z7RIow3PFuE8d63hQ/PDB8kvgjjfTgwfBHG+/DBhJbxOm2WurLCttoq4zeF N/SnqNV/R/q6TMV5M/pqxmurK1PjI0qsDKe7u/vOnTt2u72goICN6upq4FVU VERFRdXVaR+wbmpqYjsrK0sco729/erVq4BkOy8vLzk5+cDwzTW2c3Nz6R8b Gxt8cN23tbS0DA8ffu4Et8/Jybly5Uptbe19O4Nhdnb29H7Kd2FhoWKq1Fxg e48WOVRNsVl0xYmcTif/7e/vHxwcdLlcJ/rs7e72d7YsLy1urK/OWmaUEE05 Hvf+/t5of+/a6v2fSNnf2xvq6ZBFpCOMN6D24TJejNvb20u8kCK6uroIcJzz +vXrxAs+NjExkZ+fTx98Zn5+XoHBkWJiYtLS0hBC3o7Xm6wCLYxXDiEeOZyQ n5ycJKaio6MJxubmZjbq6+sP9IWaCVucnKNSU1OrqqpGR0fv3r2bkZFhtWrf OTUyXsJ0yeuZGj/8dMLO9tZgZ2NjZb7DOrmzsz3Y1dRWVzrc27q1uW4e7p2b tW5urLlsmhsbGS+O6rJb1eKxPgPjBWdZWVlcXJzoAeRJSUkgnJqaunHjBokC DZSXlzMQttGMkqAYL1BTUlL4dXx8HAlEHJ0ZC/tHRkZu3brFrx6Ph4hmP8I5 L/8lC9F5Rm9jY2OcCwwdHR38RYEkIpIDYNAwliKQ+Uk+eQlO/msymTiEcxUV FSEW7QGA/unp6ZzXZrPdvn2b89IflaJt9ICS5+bmgnEeI+PFc5y2mfk5LZ/s 7u6wvaB/scunLy6Kqpury6fGtC+86N9sMmvrqx8cbOlFwcgzd3a2Jka0j9np 37Qd0lf+98hPuzs7I/1dbfU166sr8tHh7ua6LcM6q4rxAsZhnZl3a6NbXV7S Pi7W131wtLzq4ry7paZCX7V+X9alt81MipBjSLYPkfi0pZhXLBPjKvTWVpZ7 25v72po3NzYYLKN2O+w+WUV8Z8fIM7e3Nh02i6yCu7Wx7rRZ5cvLygnb6qtt UxOb62uD3R3N1WX2mamtjY35OecJQsUZLZNm7U76xsboQE9Xc93qUURQKwe7 2nrbmlApRbO3rRFRsh7sSSTWmaUFL+bwzLnaG2qmxoZlRHRw2SwakulJ9pDe Z2emtg1LPd8XyaZCsqyQrA50tR2qZWfH43K6nffKlpHdYXcBs6crobW2Ynyw T1apXV9d7e9oaTVVYt+VpUX69LQ2mof6l5cWOOQkmOVl+aQCQ0cJHQ0m8TrO NWuZbjVVsGfaPMpYJseGu1vqvXMup926rr+FdBzMNHaRb+R11FdPj4+KfCA5 rJZ2+ZTezrZlcrytrka+7nEcycHq8rJ1SkOCFXC27uZ69WlgiM1AZ2tfewue r32LuaVhuKdz92hhcA3G7u6824WXtpgqOxtM6qMq921wL4dtRuncd5zx4khD 3R2NVSXm4f6ziTT1fW7WhobVHiGZAMPVW2urCL3OpjqkGY1obAwQYtZcU4G9 vJ65I40dkszFeQ/7+bW9vgZtzEyOb23eZ7l48vmsdYZRM3wspdYxlgcJSOkz 5jEB09VUD7tQHzS5z4hWVwhnRiTLOO/q7wMKGDIGKWh1aZHDUTVONe9ynlgN 2Ot2YWX57oPmBg2m3tZGST4hZLw4auzlt0g+/Z2tHpcDt+9qIpYXW2srU6Ou yhLxROhof8/4UF/clXcYSE1RbsK1d5VYyXh9fX1f/OIX3W73N77xDUoDf81m 81NPPUXx+s53vgO1+9WvfkXVoCj87Gc/I+f/4Ac/gCs+99xz8GH+Un+N31wD 3le+8hUIABUZFk1do7hQINimf2trKxUkISGBU6AKurHtcDg4vLi4uKSkRLKu UG4qOGWF6kYlYlvsCEn43ve+x68yirfffvvPf/4zkqlT+H92djb1Sz5wTEFk aBz79a9/HVYPf4APsEEh43DCTT426tMTPkXw4x//OIdgaEZEH1D5DGyWwvrY Y4/94Q9/QCFvvfXWpUuX5KNsxj6kuyuvv1yWk+q0WqoKswnSvs7W6fER8lL0 xb9goJLM5IbyInyPU2qfIG9pcDtmcQjyJwkwPyl6afFwKe8I4/W/fbiMl3bx 4sV//Md/hJT+8Y9/xO2ffPJJeB1OcvnyZaZRf/d3f9fT04PDqA8F4mPMK+UD ds8///xrr70GQ8brJPEK4yU233//fY568803oWHIwV3xcxz41Vdfhci99NJL +DNyPvGJTxA7kMnf/va3kDoC5He/+x1/33vvvX19MfYjxnuwuODJin0/P+mG wKCOjw92D/a05CVeX/A4s+OvjPZ3OG1T9hlzaVZ8bUlGd0uNdUKrX4rxUl9w 1ITrF3Pj76hkbvzK8DPPPEPs8Jexv/zyy0TltWvXYLwQRYYJPMKQ7PHjH/8Y 5MQUTFJAyjfXoLWkFzo//fTTso0mieXOzk72sJ2ZmcnfF154gYQAoUUJKBzl w4oRe/PmzZ///Odogz7oitj/9re/jZIbGxs5HLE/+tGPsAVHoRMCGY3R+Re/ +AVgwFZaWorOSX2kQeST3Mhazz77LCMiAdKZ9MK5JNuorxmerynGC88b6e2K v/ZuXtJd2Bq8Lv7qhcGjzzdASwpSYgd7OgrTExyWaVjr3Yt/9rrdcLb68kKf gWfCakqzUmLff7uruR7TZMdHdbc2kHC0Tw7t7VkmxnKTorsaTdWFOZSDovRE KCKlUIERxivfk4q/diEvSfsAXGNlSX1FcVl2mnxQVf/YcTrltTAt3mIeRQjl OD85Vr48dYTkAP7DeUECTcLH6suLU25dlk82wOvgYJUF2Z0NNRR0TpGbGN1U VQoJGehotVumFc+EQEAIE669p30G1zMHCUmNujIxcjhZ87rnKvMzm6rLK/Iz tG8NDw10NtcVpcXTc27WrggV5c81a89PiQXAQHfbzPhYQVp8e111fVmR/kmL rdH+bkbRWlfVUFEM4SzLTm2oLNW+0mVgvBAhCmvC9ffK89Lt01MN5cV1ZYXV BdlCrqj1YECZ4HHN2qj1aXeuKS50HIktLzkm5fbloe52aKGOpKq+vIg+aAmm V5ye1GIqR70uuy0n4Y6yjs/AeDFBV2MtRZzTwSGxJkyvuihHvs+1vbnJTu0b wUnRI/3dpuK8zkYTkxeUuTDvPgbGbsXEqBRPMw/1FaTGQ/trinK0i1d7e3Qe 6umsLc1H+RDmYv1LcPDCRe88Rc0IhvEmXH23Kj/LNjNVX17AcCoLspw27fuh zGUq8tLlY7i4HM7J0IAtnzwTJFjBabfkJUaDhLKImxWmxrfXV2OOA31ON9zT UZyRBP1urCrtb28pz01D//Bzo05wHlwlI+Ymf+Hq+AaWJZSAB/jx4f7DKczO 9nBvV0rUZUipUqxivJhgoKu9IDnWPDJIPAIewsZgPXOOBY9nqLcDk8nHKciB vW3NmFJ5o++I8fITfK+mOLcoPaGvoxk/qchNHx/qR58ExfrKCn/lc8OQw1nL FAopzU6FGKi6cPiV4dWV0b7uwrSEmuI8+lTkZbTUVjJn4XAGC1te1r5OqH3s A8nAKM/NgKgf/+bahg7GgU3xcKYMtWUFGpjhgUUdDKdQYOhJVOalxEImkT86 0IsaFRj0CanGPbBgbWlBb3sTQ4O3DPd1MaNBJ/gGP2GylSUYoPbJxbGBPjwT zr+nL+ESKsZLAcqKu03CAQzwBjrb8PPcxDudjbWkO/UNUFpxeiIG4qQMBz9X YoXxwnXJ+fjeF77wBRjdZz7zGWo3JUk+r2mxWCigEFR6UgLgvW+88QbbFJ2/ /OUvFGKVM4XxUrw+97nPUR2o1JQYyAB18JVXXqFGCFP9yU9+Ih8JrayshBtT Sijl0dHRv/71r6k1WVlZ4of0+eUvfwkf4EA2EEixQ9qtW7coatR60QAy1ZUK gL3++uuwdOodHB76+sMf/hA5jz/++NDQ0Fe/+lX4Q1tbG+ziS1/6Euz6T3/6 E/RbcjX0gAIKt6cOciyFeGxszHec8YITkACmml+9epVCrNLRIeNdWaYWFOpJ FQdjfkGBSL1zVfuK6I1LU2MjxZlJeAJmGuruzImPMpXkMjcZ7GqHD/e0NxWl xi/rqTLCeANqgTJeYnDV0M79CIFivPBPuC7ux/wL74Lj8avX64XT4rQQ1N// /vf4HlyL2OeMJOqamhp8GzfD5/HnE2L1z/luX7lyBdqMl8LKcnJyCE9IIwHC HugZEYGfv/vuu/gtp0AmMBBLSOLzQqiMjHdtZammML2jodxUlK7W0qe6zUyO lGXHrSwvFKZGlWRGD3a3LHnd5bnxFXmJdaXZbqeN1KoYLyWgujA78cZ71I57 X3U8YrwMmVAFKgMnWJgywxjBCQbmoUyle3t7tc9Qjo+jECazqEumjYrx8hPz hcTERPQJTyZmOfydd96BysbEaImLRAdnZqecjoBlvCQoySEciCrYCQGWxbKY DhPjBC96hvpCwolr+stFY/6LhtVMhAGSHyC9RDQ7L1y4MDw8DFQ5FxmPU5Ah OQort7S0nM9tlNKE8VL7oARJNy8xldjTPvm0BY1UjJeMnZMQNdrfU5qdMtSt 3QOqKcyhprgcttKsZJ/6tu/+/qx1OubSmxTHlcWFyZEhqu366kpheuKG9gXV 7f7OFuoChLMgNa6pqmxssBdySJ1SYITxAqY8Jy355iU6rC0vleWkLXk9kB8S mk+7hLhC9YRWtdZWNVaXkdzobyrOteqXCgUJoijlGpL8TKmni15vWVbq0UXI lY7GWobQ297M4QwWTtJeXwOYurIimJLimYvzHmhDVuztafMI/4VDQuQUx5hz 2OEVlOy2+uqp0WHICbS8uih7b+/Yt313d3YYSNzVC40VxQtez3BvJ0pgOkAS plIDr6elgdGhz6KMRGjV1PiodWqioaLIZ2C8kAq4NKV2xjw255itLcuHA8CK KbgGJN622ioyPAQY1iffIDuBBCMyl2ESAW8c7u6ED4AEVWxvb8E+MLr+VV87 PBOmB2ygKm9R7G7B44YqZ8fdhuJiaM4Vc/ntkoyk5aXDq9+caGpsCPqBUWL5 KTMZPi+UzwBmG4Idf/WdpsrSjfVV29QEFDor9ha0R52REzVWFkOBsC/OWVWQ ZZ+ePA0mPyUuBzCTZvRQV1KwMO/pbW3ULunoX9SlAqKKpupSRs0/9IZbMmqF BGDadO/qBfpgcUqhdhUItRTlABLnR0tQd2ZGxdp3pStmJs0z5lHYr+/4de8F zxzy590uxsKv0F3YXXtDDYrSvp7cXCfIcRjoNHZUw1SMF2l4F+W4tiQP4j02 2NdRV+OwW0l3OF6m9oXrHOV+WBCcmFvJMT7VwOwM94CU4tjAZnJkKsljHipf 6VX81qfdf+9mVqhu0BsfJCBS4HWwZcBU5GVC4bB1fUURhyChu6VBXakmdnAV LHUCjBQ74guCuoR/1lVrYAqzmQdxuHlkoL+9efzoW4Q4OTvl+jwJ33iNl20m g1UF2eSWyvws9Mw0hxjJTdQ+5YxamHozM2JqoyZ6nBQvlXtDivGiYSl/0mTd M18gjFcvZ1s4Q0bMDeYCEC2QZMbcxN8MwaKNmrzEHAoVsVGQEqfEim5hpNQp 8MAP2Ukxhco+++yzFNZvfvObVIGXXnppYmICeE888QQVnHrBUZRpiB9FROVM YbwM5Ac/+AHbjK6+vh4miUzKBAULiosO4bp0o2axB/4soiDYnJRTd3RoweJw OJ555hnqF6Xz9u3byKG+QDJh5vxK3aGYiofAeIW1UjS/9rWvIRBGStmi6rET ggqzhWzIWXz6YxgUU84OcqmGogFYOkr4r//6r+bm5qioKLarq6t9xxkvRwGP PgwKMO3t7SoDKMYLp7VOmW++9WplXhaTfQK5o75m2jxK3OE51QVZuBbBwlwp 7so7Pa0NWAr2S5DyK9nJNWvd1r+pGmG8/rdAGa88A6DauZ/FVYyXWRhTMNzj f//3f5lnwUs5EdNGfBiCCgPEAz/96U/jMGwQPkzccEvoHJNKgh3nNz4AqRgv 8YUDQxQhaQiB0BI+EEUYFz7MhIuo/OxnP0tQfP7zn+d0UF8YLz1hvBwOMyRA hPEeHOy7HbbM2EvQ2thLrwqP3dvbmTEPlWbGLut3FmC/XrczL/Haln6Lt6O+ vDQ7tio/ZdY6aXyqgbRGIYu78jYJTQAbr/H+6Ec/gjEy0rS0NHIFoxPGSDZA MxBFehLpRDTgmYoC1WdgvIz0W9/6FgkHlkvEMXxZEo2whZr69Fhj4kB4+o4u KZeWlqIo5KDhwsJCTtTX14eS2cmBTIHRjMvl+v73v8+8G9UhEPmcTq7xgpYJ he/og+mNjY1EN2eRb6ADUp2LXMQMhRwF/UbtnZ2d53MbpbTDpxoODpjnwihI CONDfTvbW72tTcO9mm5lxUoyfH15ccKNi/od/HVSPUzD7XSQLnyGa7yImhod SryBieMnRgexEUUTfru1sYFBYcuttZUkKPZQ9GHUkDfIrQJz+FTDgXaFtrIg ExJCHaHMzc+5+tpbuprrcA8OhxniG+Qrag05DUepys+CbJ9AAuVOvP4eFRYO z1GQW59+E1a/IreoXY9NTaBWMtjJ0eHOhlqyYkN5id0ypXjmgfbUxGxJZlLa 3WuWyXGKV09Lo84xtA/mzjlsFO6F+TnqLASGcAMDEwe5kWq8ac7YoaZJN9+v zM+E8cJL3Y5ZtE3pxJMhFdR92BpQIUgQAI1QVZb4DIxXnt+gQ0b0jb7OFsgk ErTb672d2sMVsyDJha01V5dB/CB1HK7YyDEkGyBpBQka05DUVUPtqgqzCHUd SWN/R6vDOlNbkk8JmBgZgCMpb1HsTgMza2PekR59o7+jhTpiHunH1tBp+egt ZA9W47LbZi3T1Zr5nAwcsSfAbGpgWoTKwjMbK0shluU5qdqHiff2tIurvZ2w Gvhqc03Z6EAvbA173QeM3VaYlpARcxMlN5QXMXfoaKoFjPagjs54sUhDeTFT JAgbvgT3Q0XHkaz3t+tICrM16tJg0tWSTYLCFXuY/XW1O2wzJVnJTLsmRoeg dqjad5zxMtHQuLTDjqs0wXjdLjwHGoaiUCw7BTlzhM6mWiY1SrHGpxoowSvL S/0dzel3KdxlXU3avRJK9mB3B/ECjLGB3sMUveAlKCjrSo6R8eqMtB5I6IRD +McsRiOlY0NQR2JcDsGp4PBGpmpkvPqF63qOhfH2d7bhlj2t2kV45sXm4QH8 Vnxsf38P7TEoeaLACEaKHVMnfBWd43vQeASaSvPg8JwXMOrr23B4JqHy7Kus k2sEg0GZ8dWXFVbkpaNYDke3TBt1D8wntxCYfW1NUkdQ6q5+0Zghb2m35Q8Z L+UDe6myK7MMXyCMl0ySHR+FEnIS7mAOfAYSnhl7k5ky2WZSvw9FNLGTqXpu YjQGJendfPNVMonPwHgp1p/5zGfI7d/5znfefPNNalZdXR3VgRPBOd9++21q 1vPPP0/CJ9WzkwpL4aAkzczMPPnkk1Qx41MNwjwp+nSg9CDzhRdeoMSkpqaW l5fTjWLEr+yBxMIzESWVmspy4cIFqSNWqxUhUG6Id0JCQm1tLUSUDbgu3b74 xS+qJwqKioqom3/SG3KQhpCuri6ps4yit7eXGko3qhtqpw9VkjFSIilts7Oz WJazU/gwARUTtBAS/mZkZPgMbJaSB2yGL7ehYbwQFcqf7xjjXcETmJzmJcWU 56bhacWZiUQiAZubcIcUZyrKIwXhrgPdbeQ9fKappnx8oLfZVI51SE3YbnNz I8J4A2of+lMNTLLwTxjmY489RvC++OKLr7766k9+8hOmeDBbnMput3/qU58a HR090BsOgwMTTT79uiJUEF/CA8WLFOOF4kJrIWaEHqfAjWF9+fn5165dI1rJ JAUFBeznKIKLw5977jkYNTzzu9/9Lt6Oi2o3TA3P8WoF2mGtLc7YWFupLYWo TMRfeT0v8XprbanLPl2dn1qWE19fng0Tnp9zNFUVDnQ2VuQkGBkvsHraGjNj b6VGXZX06DMwXjQMmxWeQNwRZYQ5IJk8Eo8yiyQnED5SGoSQ+wyM12w2k4KQ BqW/e/cuc2eJtZGREUKScEYO+Qo2y3/lui5qZ8bBRODLX/4yhzC5BgN5gKSB HLIQFnG73eQHToGW5EldwCCBifPAwABneeONNxDO/BeuTkIjFaB8khuJCN7L 9JlzMUMnMZIWEEjCVFeGz9cU40WllLbMmBvpd65Zp8ZhUBTcwvQE7YnZ2gr7 zDQz6Mr8LAgDPARKFvP+2y2m8vW1VQqNrPKkXeM90J6iLM1KJfObSvIhkHmJ MQih+sON68oKSDtZcbfY09Xc4LTNQFEKUuKpngqMMF4IT2djfQZg7l7nvP1d bdlxt/NT4112S4up0jY92VZXSSkpTE+EdcNn8lNjy7JT5LFVdbXZ7XJAhhOv X6wtK9jaXCfvxVx6E+TWSXNHQw1sAU4IpXHYLNrF1bSEnKS7DqvFPj3BEBTP pLpxRlSRnxLrsMxQztiuKc6F77U3mGC5DC0n4a7+dME0SIozk2CPTquFsq4I FYXbNj1RlBafEnUFGLMzU4AvyUjqaKpjdDAouJBcBqSAQuoyY26iQ2EyRiTw as5ekBpvmTJ3Npo4hFyNZIZjmRhvrCzOSbxbU5izuDBPoU+88V5fe7N4uBEJ wy/UkbTX19g1JHchD5B/6+QEcxCQQCqYxTCR9DgdBSmxeckx3qPHue/dwQdM dVna3euFqXHQPyzLtAUOMDbQwxwEojs+2AtaDoGEA7IoPYGpAewIh7l3jVfA pManamqpgkHlJkXXlRbAe6fHR6BPMEaIN9bBH6C72fG3YREAw9DbW5uGxwl0 MHeuMS5oJKOAkGhPOExPtjdUc4r68sLcxBis5rRZmfWAub6iGFUYkGgPvjIL S719paPRZJ+ZhMygBEonCmEOgqEzY26VZqcM93ThQmIgeej32DXeeTccFUbt tE5Dgai/TM2G+7pwHvxELupSYZHAkKnIW/obE77jTzUM93ah88q8TCZ6Qz2d jEv7b24GfA/GO9zTKdd4wY8qiBEkq7dyjIxXruUSIBB489AArLKzqa6xopiY YqRCMmGqEE68xfiArpFkyuPuE8MDpFmcE7sMdbXDkPFVhkAEyZVhaDPupFKx EYwUOw1Me4v2mEp3B4YWMA0amGsFKXHsEU0yOkaE56BDzjU3azeCwaBwSAAD wFScz0nb6qsxE94L+y3LTgMSfBjnZFwoGW9hHgRgWeIshG+uoRamcnLzCILN HGdTX1nO65lT08ylhflZy5TcgmTCxU9ibsV4vV6vxWIBFXWBSirEVQqQplJ9 KePJyUl+PTzp2hpVWDzN5XLJAw/GtRo4BDkcQh9qPRtyEVtOR9mkyjAKyC1F h1/lKMrN8PCwekQBLjo2NgYMgAmvkEXz6ON0Oo3X5cBA1ZM1ipHGUTKbkFHw 16439gjfQALCOZFablFZlv/CbCf0plKNVPMDff1Mn16dV/SGmeQSsbHPpq7b Pe3+4IY+43aRN9jAP0kjTHlQFDVuT58juOzWpUWvfitTs+/m0bJ1EcYbUPvQ 12rAM7f0K/PyAhf+MDQ0JM+By8PnvlMrMHCgeoWEQ5g8wofFG1VPcUtBLosW ShhyOjpor8mQqHUA8sVDvJHQ41ekqbc1T6zVACHZ2tKWatxYowrvrCwtLs7P LXndu9vbUCy304Zb6m68vrFOPdqec1iNTzXoqFb62pqNd/TUm2vyJp2MQnNv lwvA2sNUq6soBHhaIOjthCbVm2va/Ws9ctGhrFFPJJKd+C994L0MTTRM2pGX Z+X7TaINtI0eOJe8VSqn3tUrrLov5vF42EOWQKzvKK5JaPImGmdBjnbxam6O pMF/6Tw+Pi7nwhyytiQgg3yL2fjmGjNlat+M/nghFdDrnoOuMC6swBxjdWlJ bgTLi1EkcFK68mR1ZXVff1KUmqX/dECZoRzIZVVhO5QJed+QncsLC173nBGM enONbt2tDfJOE/Vr3uVaWV7SHGZ9Dc6AOMBs6NUWx3DP2pQejiGxWwUJ/gbF XZinHi3DpxkRuQ5GJ88cwqAgBhDF7aMCd+8ar/6MYm9bE8RYc8j1NQBT4zS1 aJ8K1ci5Z865qd0b3UVdc45ZdnHqLf2KgbqEqL8zZe5paRAwqysrXrdLc6Ht bUrxvva8xIK8sUUeBsnS0cvLRiTaYwxtzU67Rfe3bSSsa8+g7m0YkOAZ+/oz pV4Gq91VOczk95Bsb89Mjve0KiTLgmTnCMnyEud331OLd17qgs/A7gQMakHD urtuQT84KWBQiz5l2eLvoUU2N7H4th7vu3rGUGDoB9XE6+TBXcoQ0w20B0hs pEk74oSaer3zAmxfv/RnALMPGIRAkHSZ29Q4fGNffwybDppmXE4s4tOrG9Mu AJ5QC0OwmMd62pp8+vvvqytLumdqatkUtSwuyNk1A3nn1RMjRsZ7oN/v1i47 62o8LLXauBY8ztntw4c69qG24kXqxbRj13h3d7EIM0Qp0By66HFv6Qwf2Ppr lTuHh+hhiJXVC1xGxrunvYK5jVrlEHlIgJ+Flak3lXa2tnZ2jt1eNJJMcVH9 TtzhG53aX4jNouauW0fL7Wpn2t46OL5GhJHx3hfMhh5NqHrvCIwkFuARietr K1v6Rz8VGI207Gg62dWveugXUrTne5e0T23uaD7vntPjbl/3ug10iKXwIl9k dbLjAIQxhnOLrE4W/u1DZ7yhbeG/Opn2yUjDSlaR1cnO0U6sTqaVtnMtDnZs TTD9ku/5wBhXJ5M6+6EgMa6QcKAtOrFzjuWnDo4vSqDToYDj9BSS3RAgOTgP Et8JdhcqMOdSy33B7AcI5rRads5loMjqZGeACbLYhefqZMG0D53xfiRahPGG f4sw3jNaZD3e8GyR9Xjv28JnFdzwQeKLrMf7cGD4Ioz34YOJMN6PVosw3vBv EcZ7Rosw3vBsEcZ73xY+PDN8kPgijPfhwPBFGO/DBxM84wWDw+HwBt1mZ2fn 5uaClyNtfn7ebreHSlr4NI/H84Hj8qdPoM1ms6HS0Mp8hJs/6gq5Sokgt9sd QoEPQyyiEBikEPR2BiqJ/WB0GxKQH60mKiV1BClHViwPBzAhQSKfFwkyTjkc ME6n89FA8uiBCSsDuVyu4HUiwwkSDCNCSPCsDAkMKkzAuPR2Bhj5asMHXuM9 CLqJ2ODlSNNW59OvoT1ibWdnR72VE0yfgJpcMJd3iCLtA5s/6noYKl1aWpI3 y0Lb5NJxqKSBUF+dLKhGdJMuHoRKWz11cTEY3R4tOPA31ESl8gZiMC0k5QAw cmfhQ0cCBrn0HYwQXFHW3H40kCgw8ubaIwAmhAYKUieymIC8+hpMEyFB1hd5 CTf4miKXVcMEjLyq/CAwUpcjTzWET4s81RD+zR91PQyVRp5qUL9GnmoItEWe arhvC59nCcIHiS/yVMPDgeGLPNXw8MFEnuP9aLUI4w3/FmG8Z7QI4w3PFmG8 923hwzPDB4kvwngfDgxfhPE+fDChZbwba6uj/T0z5lG1BJ9PX4HNmLtcs7bh ns7lRY2Oct5F77wSK8OxWCzNzc2cd3h4uK6ubmZG+z7L+Ph4fX29rB7GHraH hg4/DuJ0OquqqsRd2Slf2zQy3sHBQfo3NjYaYYewmc1mtdyoYKioqJDVNU+3 Xf3Lzqf3Y9Cenh7l6uAfHR09DVixWfpzIkTRx+Vyud1uFbD31uPVF6Lc2d7e pYIvHePA+qKI+w6rRRYnPN041m6Z2t4+XIsvwnj9bx8u40UmETE1NcWGfNAE Z6iuru7v72eP1+sdG9O+CYXPGNehJVcTOPLVXQ7p6OhoaGgQSqnuL3MIQURU +vRFs5uamggrnB9XZ9tqlQU5twlV+uOZnZ2d+DCeSTgjWZz5BOPd2d5a8Bwu xLq3tztrnRwf7NTW89zbc9imp0b7Z60T7J+fc6ytLOmLYeqfYzMwXoCtrixv rN2rVorxEggAYFxzc3N0Jl7a2tr4FfA1NTXt7e2AITmQZBiv92jhU5+B8YK5 u7ubX+V0AwMD0pn9nKK2tpYxkrX4L+pC4IG+DO/IyIhgkK/5mEym1tZWchda Agx/MQFg2OnxeGSRcP4iROyFPrEX5wIbYjkE2H19fV1dXRLvqB0MQgsRJYv6 BlmvjYyXzLCyvLSp14WVRe/YQJ/Ddi+bsd88MrjgcWuanHNNjg5ZJydQwbp8 ycvAM7GXZ077uDzJZGHeMzk6uH1UsDTMztnp8RGMq9t6xjppVuFgZLwamKUl +YTT7u62/mld+z1LbW5Ojg3JArbra6sTIwMry4eJ7r5Idnd2LFNm89CA+iYU Hmi3TNtnpvb1hYKRPz0xKmvPyurHimdSyFCLLNG/sb5GT6/bpZDghDPjY0sL XkaxTNEcH1GfAzhBqEjIaEMEelwOy+S4Wgd1d2fbabcCRvsYyhbAppxHmj+N RFbH1ZBMjBlWMz7QkYwSKbLQ8bR5ZN0PJG4NiXn3CAmQXDaLqOUEEt9xdsex q0uL9NFWj59zmof6PS6nOh0ApsaHV5YW0TyGmxwddlhnsNqG7l33BcNvUIjp 8VG1/C/CZ2emwKB9iHBtBT0z5KUFbLS1o9vICIZzSdnSbTS6cPTVDEkUiF1Z WpBlmdGM5I3TSORjedoKz05yknnviM/wE3oQJMCzT0859YWIjTqhD/QGx15d Xt7e3CA9qI8RHJnoYH1tze20K2BbWxtiI8V4Nf3bbVOjw9NmBjtKgGzejzZI 0z4lpj/DoPYIydQzp4shT42P2KcnlUPeV4J9ZhJ1ra2sEAVuh31tZVmRTPbw 6/TYyIwGZgwrn1i5Vw1kyTs/bR7F/Rbm3Yr8a2A2NjCNAczU+oPBiJ7X11d3 Ddc0FBiMzrH8ZciYWPsi5+rJicYqNva4d3Q3YNTgsU1PCNUJIePFAdLuXGs1 Vci3uo5cZbevvbkiL12Mjqe11la2mCqSbl5iOLUl+cm33ldihfGS5D/zmc+Q 9r/5zW/GxcV94xvfgOLK10K//e1vs/2b3/zmj3/844svvigfVHr66afffffd V155hSLy5JNPJicnG7+5hsyvfOUrd+7cSUxMpPhShuQRX9zb4XBQhsBPqRJf RbiUMA6kbFEu1TDZpsrIgvBUeSq47GcDJOXl5fJfzv7MM8/cvn37jTfeQCB1 StaKh4RQsObn56lW9Jc3yxgjGBCLQGC89NJLQhswB2f/+Mc/XlhYyDadKbtq VWphsxz+qU996sqVKwC7ePHi1atX4RWC4d4311ZXr77xcn1FsXwEkwQ4a5mR 5buz46PmZm3lOWlDPR1SQXa2tqzTE7jQ/t7u8uLinNNemBK3pBOMCOMNqH24 jJdGpDz22GPyYS/886c//Sl+8stf/jIjIyM/Px+/ws/ZwwxLDsRRIXKEG05L KN26detXv/oV8SLUVH1zjUOef/75F154IScnBzlPPfVUQkIC1PHVV1/9/e9/ /9xzz+GlsLhPfOITEGPO/vOf//z69etpaWn0JFQvXLhwcPyba5vrayVZMflJ Nw7/u7HWVltaX5ZVnHF3cd6dFXe5ra50pK/DYZsqzYxtqMwd6W0bH9Q+d6sY LxuzlqnMmJv5KbGqtBm/MszYOTVIMjMzf/azn7322mupqalEJSoiDNPT08vK yi5duvT973+/pKSEZMhw9K+lH35zDfZO/qGDfJvm8ccfj4qKQhSpBpko5J13 3iH239Db66+//t5778FO/+mf/gmWW1xcTPqS7wvTOIog/fznP//mm2+ivSee eIKwffbZZ4lfchc6YSqBJuG35LqbN28ijawFyK9+9auxsbHXrl1DjaSCP/zh D5iVgYCK/PDJT36SuQwdZKZ/7qYYLxsUx/To64VpCZS28cH++oqi7Ljb8g0I al9ZdirJpCAl1jVrK81MqczPIsMvznu6musOjh6B1q253mIqj7vyzlB3O0wm O/52VUFWTVGuPC1HgciMuVWZn9FSUw4FzYy7VZad0tfRosAI42X6ZZuaTL9z vSg9weuZ62ysLUyNL0iNE/ZFCaOClGalAGZu1l6Wm1aRq31cSdjsPSTr683V ZXFXQdJBGWqsLDGV5B1+E3lzgwSYnxxbXZTT1VQ3NtibEXOzp6UBLkRddlgt imcSAebBvvS71+nJwKliuFxFbrpH/4gGhb6mOLckM6kyL5PhlOekl+Wk0lM4 m5FQkX7RHoUSxUKcchPuVhRkttVWHegfZWD6kB0XVZWf2dVcPzrQk5MQxYjG B7XvwN5Dsr0NTv2LbzmMGgWikPLcjHmd0iO/pijnEMm0uTw7TUeSewrJgd4z V0MyPCAfF8McbXX6t+x3diZGBkFSWZClIenvydaRqI/AGtnd2EAPQkxFeXBm lGkqzi1Mi5eaIl+7qy7MRrJtylyUnlhbWjDS2+Vy2PGKE2DohpyJ4QEIc0N5 EX7VUFEsjjTQ2Yq2qwtzu1saODwz9mZPa+O0eRx1YQsjGKCmRV0zleRT3Zqq ygrT4rCRTAdw0arCLN1jM21TEwAry0k3leTu6FcJDpFol+A8VQXZGBoN0C0b tRRkdjSYfPosAA1k4cn5mQAASXb8HeRPjAwZdQLzwcTWKXNeckx3S/1Yf09P WyPJjWmj/p2d3TnHLHpmjLpFyGDTuYl38W2fgfHqo27DKMk332+oLKnIy8R7 mWExAdFq9P4eswahuIyuNCu1sbJ46zgr0z8MtA3DzE+OSb19paWmgqiBBPIP uoh8bLRydB0MzIyxIDW21VRJIBMgLrtVkUxSKw6fGnWVQMPP68oKzcMDhJKI 0oqDDoaxMEVqr6sGdl1ZwfrRVQj57BG9iKm85GjkwBKdNus9MOvHwHCg9gXh 3Ayv595XaRQY3INQHe7txB+aa8oHuztwjxUYy5EE5jKgba2t0C+rHsB1W0yV xZnJxHVov7nGqOKuvM255PMrHY0mLWDzMkAVe/ltq54wpeHJmFif5jtyEu4q sUI1PR4P1ZlfYarUF2oEvBQa+f+zd57PjVxX3v5b3i9bLtdWeXe/7tZW7W55 13G9q7UtJ8lBwXKUbNmyLVuychhJM5rMGQ5zziAAkgBIgggEmBNIggRJgAAD IsEEksM4eJ/uSzab1IgaDjAWNYVbU6weoPv275577jnPbXT3HR4eJkGQa0iv YmU0UkBBQQEpgO3nnnuOZC2W4k2qrvFS5//+7/+SL8g+5CZSMKxIEiwuLv6/ //u/0tLSP/3pT++88w4pnlT19a9//cUXX+S/5EFyzTPPPEMGFLVxOGcnW3Hg 448//sQTTzQ3N0MFYOqjjz4qdsPn+Uq5tpyTk4PUJ598EqLmXOikFSTcr371 qxaLhSTLScmzyIbk4XySpriITcK9desWGY0MODU19dhjj5ErBZ8oNAtRwBik 3bq6OvZkB4fDoYQjsQ9TWiKqWPTZYtD22M30O6w70Gm/ce61wW6nvrKQMVuR fYWJpJQvNJUEfwJs9vuvW406bUmeuDKcId5TldMSr1jASyn3/VOUQryQEnSH q8NjbL/77ruciLkVH1ZXV+OEfKJ4VFIOJjjkm2++Ca8CeFCi+oYBhXg5hPGC VzMWNBoNzEblJpOJ2gA8hgYkzIAFJjkvwZ89GRf4J5/TRjBbLOMriJeY22M3 WptqLI1VR8wSDenKbyxJk7LLdlNtcMYXC881VuYa6wpsxlqxnqNCvMTtZk1l 6Y2Lo4N9yq8VCvEy0hndNJPgwGABQZlRgqCIYWLLTJn2JuVFEvmQOSnBRKvV JlWrDHs8HiCf8QvxgqaMbiIJu2EBrCFMBz8TK5IyYHMiaJZRyXlBfSzANjMI Yhc7oAorifdIEOKY6hIBOJwogU2Y5HIUzMzsQzSEBqITWpbWhR8YIFCgRzkX LRJBCTYmXCgT3vsrCvFiUnnl0Mvjrn5yEQnaA+llX1mQsWF1eRF2JemAmkM9 TrISO3s9o2TbfhXxStjs9+acfwumIiN7PW72X0+samUcxZtG+rq6ba2kNm1p PiljbKhvIRKGpRUxgnhJhQ1VxeXZl2G8lcUFI/SyEOVYQSBUqKsoIu9AfZ3W Zg5nfzhz1i9lB0UJKe/W+TfNDZpl+fdEoiKa7aZGaXtlGfbosrUCBnyIF0GS rt7O5cUFPoEQFM5cjEW0ZQV1hdlk7fBcwNKkWwgHCaHDfV1JeXFVSGBlKQ5X OFqabEY9yZqsDXclVZwJSY4N9Rdcft9hNgCoY4P93TYzsNGqrdna2lxLrA52 tlNhLDTfUFmMMO/4CHlTgJ+iBHsCHnVFOSgJzc1Ym7SxaJgDYUhFCUkfyHe0 GiQl0QiIIq4oKkroAoCt4PJ7ZGd60z3Ui0klJboahrq0zl2HHcSKBudQ0mlt 8Y27A14P6CU6SKE7KofrNMU50xNjYlUyuEJXUQh7SNdqAtPMLOZnpi1N9YNd DjjcrNfA+XQlbHwoZmsLgEEMUySxPBytaKwqJU/JLrdE//Y6LGhoqinjQHAU H1hZXMTx2FMlJlxXjJhc/6QnJPWRll7od9poaVL+cRlvxAeY8tBquwnLhNkn FgmplGzS6oIr7wF+fM52r8Mqm6V2V17MC/5HKoRDJsVvcRL+OVqb1DbBedpb DGjWyDOpLmvLSH93qzQNKWEqhH5ScIMM/8KY9PtQl5Oak8fWXNvepotRwnQA zy+/dYV5n6unE1xksOCl4ioiZxzp7aK/lJ8tkkfvaoBOXT1OXGJ0sHfS7ZoY HeqxmTvaTPQaBoFRlaNob7fdDPHyeXDGr76RgKGKyIlRl88zpi8vZEjiVDSN 4MDUwNXTISKzaA4+4BkZUDKg+q4GpgxMbJeX4u5BaZVhKpTEmGUxDXXAf1K+ LkqdDA0xiRNFEUOoIfLg9nA+k2jsjOnYmRGBSYkqmJp5K56v/NzDIMKAowO9 dw4eoxMPqYm8JoqY7CdPu8pwQlqesvDK+0A40wTsRgDBQ/rl3lQKRq7MucZ8 hz4ijCjVqomXBpJfRJwnd5OF4VvIkB2ATEG8ZHByyquvvso2h5B5a2pqlJgp yBN51NPf309CaW1tJR1jt1deeYUDyYA4OTWzGymPT0QWAwnIhgAq6UlcvCX8 gqMkIxiYnA4ekF/YmZPybWFhIYQsfB46FcuSUr797W+/9957yGtpaSG18Ql/ 2fPSpUtsi/OC2WDtz372M1gCDhfEi6pHHnnkD3/4wxe/+EVSHtqoZGRkJKmi Waz00ksvURvzAipEDHsq4Wj/Gu/qSmN1yfjQQN6ld+mLsuzLbfo6U33VxPAg DsCAwmGICfgnPJz34ds4D7NXV1+nzaDnW47F5cSy4xnivfdyWuKls2IHBZK5 73tvFOK9ceNGU1MT9PWTn/wEFjp//nxSXmub8VIpF9yJoYTv4TZs4z/s/6Uv fQkPBALxTDV1K8QLejGUmK9RFQONnfFJGIzxyLhg9ufz+b7xjW+AZMwxAci8 vDyFeBnOgKVCvMQbsKHo6hvGmvyiy28sRMVqs3fikZChJn8uMCX9BLmyOD0x Wl98FaSJhea6rcam6ryW+pJIcEYhXuqJBudri24BvbO+/ZW4FeLFnmD5Cy+8 UFFRAabqdDpokymtuN+DUMDsldF67do1FE5MTDAtZQaaPEq8zLhpNftQG/gK prpcrpKSEj5JHhAvQzUpUygBAWbGUMwFvve971EbvczZsQ9Rgm3CCLELUxAc 6B3GPkdhQOIw54J4mSwo7IqM9vZ2uo8RTQQj/hDE2Dkpwzz9K9ibMIVChN2f 2yhG238VwN5eODhXU5hdfuMScCJZOBSUrjSOylcat7fHXQNQaP6lc9MeN8kj 4J2sLrgJUIk7FpQrq/yXsJ9z4W2CCfmLCCMBqiDera3h3k4QSybePPKdZ3gA /Gj6CPFKV4PnZyEEMuy0Z6y5vmopHpPysk26wkCF+ooiMmCnxeRsMxlryyXi bagTnqBWQj5CCZQrLVy7vU3qh2/3dnel5ZuDc1RLe2mj9Ju1vB4xuLi7Kxaw 3edMNoE66deEktzx4UF4aSEaJvO6eiXiFZf1VpYWCaHtzU18CyHbTHpx8Ud9 jTexuswOhVc/6GhrJjPuc6Yg3tUVsidEFAsHGyrgzGboQiZe6WKgomRHVkIC rS/Nx26cZVFa59c50negRC+xt+NAyQF7zx1TAknCfkVXz3dYmt0Dvb3tFjXx DnTYIISozN4S2k2OBbwTgr2TKrrb2dmmX0DQ+tI8ZPN//9QElYguAN2YFIDE lbeuzs/411ZXJeepLALhjlxZlcVQOeTQ75RWPYYN+jrsfCKTyW5odsakqcQN qHlnays4G2hvaey0tBxbZVi+SO4GObTlBRMjQzje4kJUQvcBKTPuE+9inCkJ cwEql+cC2mg4dEwJsFR07XyXpWVkoBs9B8S7A2H2Oq3MWSLBWYZAZ1uL3+vx T3ioUG0Tpt4DXY7KW9egysZKKLecyWPx9Q/txoaW+mpsjhEWwiFn6/7vwjgw aun65FHiBb9hQnbDXDR2dnqSLraZGnBOacHrbqdyswSH89VHr/GKMM7IJcUz r4FLmTnyXyRhInwMOwjI5MQ4FQ7DRHVbWnF+ZWvzyMK+nIvhDN8C4Qxen2cc weaGWs/w4NT46FC3QxEzNtTL8FxV3UWpJl6k9nfa4QrGDttCjK6sAK9g3O2L gVF9U0PdTvXK42ox2LOu6BZ826ypNNRVdFtbGc7U0N7S1FxfSXf7J8ddvR3i FjjRp0wTmEBtycuyCzFUJV56JgopQ1znuXfiTaysSCDd34OH061M2ZgClN28 ND05Xp59JTw3K3fiFh9iq5KsizgGc58b514TK1MrxEvO/cpXvkJuIilUVVX9 9re/LS8vf/7559nhjTfeADhJqYIkSTRIffLJJ8kv5LW+vr6nn36ajHPsrgby L6mturqapPDDH/6QDPLss8+SjvV6PXtCm3wLDMDDIrVBzqTvv/zlL2VlZeLi DNmQVJ6bm0v94ERzc7PVamWDXEPefPTRR2FaYQ0OJxMhGIpALTpBWXGViW9p hcPh4Czd3d2//vWv+eTChQukYL4lh5INZ2aknxJIczSHDAjqg7vUwIGcLnn0 Gi/Np++wEomSeQGILvhcdY13mekYA4e+INcwKbM01tPvTN8qc6+ND/XTXwxn Yh0z6PqS/L52y2C3wz3Yx5AneuBCs34vWSlDvKcqn/pdDdevX8c/8efPf/7z ODADBDSClPir0WiAVUj17/7u7/gLbomXHOLAuFBSHi/vvPMOJMaeYlyr72po a2szmUxwHaDFwGF4ciLGy+joKHGAKSQ+T7WwGe6Kf/IX72UKCVrDcuKGAXGN lwS1HF+Ycg/oK7JXlxc72xrDc/7ia2/pSrPGh7ph4N725k5rk7GmQLoLfSlu NdT02IxmfTmRXyFe6aKZq99QU15y/YLIa8mj13gZXIQI9mRMIYPxyCgG9dHP hBEWdbvdRJhN6be5beabWCOpIt7x8XGGFXgM6zJTeOKJJwDX+vp6RjQTcKpi vDPrFLcu0GqGMEGGmEDM/Od//uesrCyMJqYYnIseZ649NTWFwRHGX3EpGAOK Y6kce3IWIhIVEg0IF2gmSmNGpuF8QmQQ58LU9AWH0MX/9E//REhJxXkU4sWk bhkIi7MujA32QXfdVjM8Q7Ib6GqPzM/GIuFOa4uhpoxeG+xyyFdXsgEqn8ed POBMyb1jEUerUbo7oqwA2KjOv9luajTVVyxwuKUlODNdnX8D3rAZG0i15K8W bW2f06qIEcQr0elAT2NVaUnWh2OugW672VBbrq8oJKMNdLQD5PJ1lVrYb35m mt1sRl19Wb64RfBAyR5509FigMo4EEyF38itjZXFc4FpGID45urpBKUmRlyz AS+UYtbVEg+hLOnu0wPOhELI0fqyguqCG+6hPnbDAqCyd3zU1duJnraGuub6 arDZN+HGIc3Sf6vEZTcFqPB58iCtxiyckcyoKc7lv9AXBoHNpsaGNfKlKnCL XqgvyQPS2EiqiBcahHZ0kpKbOD9tkZRoKr0eN1neP+lp1de1aKuNKJkcE7eg NGurxF2gh0p2dmB7ToQSTiH93FycY23SkbixJIAEa8lK6rusre6DGz/GhvpE Byl0J4npcmrL8ulNaIrsD0Q1VZVOSJfynIANDKNc9O7vbGcb4+APc9NetRgg ltyEGNSG5gJMBzikrbF+zu8b7u1al87iaNHWTLlHpB+pzSYaiAOEZgOAliJG 2q3ToS3Nrym8CVVyLmgKVPZPjg11d0Cn1MDkwqipwOXwFpyHT+RHWtRKpjlv xa1rlkYNXSkZwaClKhoCt0BodBlSe+xm6EUr3WtROz48oLYJtfk8o3kXz026 h2hsY1VxJDjfWFWEJYd6Ouhl6VYWTSUtFT2ClUjEjLjE6sox4sUnOfXSQsxp NtEKPM1pNhikRlXZTDpxWZW/VqOusaoEqx67rCqIl35hxsdUEWQF1BsqivA9 xh0uimuJm8GYkzJAdBUFvvFRtrEeIfcY8YIH8C3DnL6Ycg/zF/egI/Acu1Ev bhKmLcw9xX04SlETLzUwzGF4/goxLboaDhd+LsTQIwgm5uBFyvLiajF0X22h dB9Im3RTUxlzMViXGpiMgJfN2ur6UmlYMX6xAHPGXocVg9N88lga72pgMsap 6dAZeX6HKlyCSS6V00xltuv1jHLq5cUFsQ+D6BjxTk5OgpQQHbmjsbERjk3K zCk/ALfDf0lSTU1NHR0dokO9Xi80Kx484UOo787Be9XEGUFo6iEx0VKbzcax JB3xfuakfIctiZtU0t/f/9hjj/GteLKM5F5XVyf2Scp3F+t0OjJgMBikZlIq G3RBbW0tdaofxiFJUeHY2BhqOSlczc6cUTSNxCoefuET6UJWIiFqoL1+v1+8 bo4MGw5Lz0QgGFW0CIMImys0Sz2iBmRgAfqIc4l7+dRPt8m/C9xZWVpig/wx NthP4mCmQ6wgppELtrc3V5eXiRW49FAPodtDvgBF5JEYFk8gZoj3VOVTf3KN 2aK4X31wcJC/eDg+BvLxFW4GaDE6XC6X+lkn9leetcS1AGDwVYxH5ck1gJBR xrFDQ0OMR9wSl4N1GTtyNt8VO0iPoy4tgWF4Nd6LM7Mnw2f/gtvRJ9dwMFxT JgH/hvTckHtqbMA3MbKWWPGODbkHu9cTErSsLi3CwMR2UtftjbXDa7x7eyRV MhcZLXlgS/WTaz6fT7SC8xIHGEds0FKwH0loxhri5nl1UZ5cIxQwuKgQu9Fq UJn4QGRgYNIu4oPZbGabFjHMmWJwLkxBhZxaPNAKG2N8DhR6GKfSLW0Hg5cD MRRqmadbLBYR4viEQyBYdmMHamODeogbBBx25lycF5G4EJ3Lt4TEFN+Aob6P NxKcA2+G+6Sn/EBcUhuYsYetgnP0C8w2Oti3sb4mX9DzDHU7CCN7e7vigoxy ZXXz9m3IkDxOt/It9Yz099xel25QBCal5/Wmp8hQ0hNPdJNnDJZQHj9R3ccr CQAqOFaufINDZn1Tu7IYNAAHIwNkmVn5IbtFNCvXhVRKNiQlNaXsTzKlBkkJ eS+xEgsHiXuERGqTHsSLhmV89exsbyXkx+VUV1a3Z6YmQR3CZlK6arQMFcBm W9KNhfNkdDIauSwWCdFYIqf7IK8l1VdW5YenBjudVkP9bfnOxnm/j6nEJpCz KolBnn9qAuTYke/YAadh6T3ZLGolgakJfJ7dZCVLEBf4KisJSkriKOkn4O/J 8X/s45UMdDoAA+yDkjmIECX0kKQkhJLpSY/3QMmUpMSj/PSjvqyKGNgJqeAE HAt1h+elC/7RsPS06azfi8WojbPAqyDxytIip1uWA4UQc2ffLO1Wg25rc2N1 Zdk90OsZccmPc61g0tWVpfGhgWhoXrSIU8gP2W3zOaZTi5meGjc3aHzjbhqI ZZgRwIGSmNA8AkBH91C/5K67u9iKCZ3yBP2hkpWlgU671ajfks2C58NdHEtW RAlezTyFxu7K9//QNJovzKJ+gI4zonNra3NleXFZjpmw3Gh/N/ZhOHjHRqlT PBwn+e3KknTtdNx9jHjFtW76jh5fWVyUntBKrCaWpRtWmQYuRiPiXGurqzjJ pNtF6+5KvFTCKcQzfXQB4tmg4RPDg7SFQSG8aHrCPe7qp71YDDATj54pkCk9 iLe8tC7/Ls+Q4Sgq5SiaD90xvRVi+Hh5Kb599JVBauJVxCBAJSbukcXclh+m lh4J9E97hhmV83clXgwLM8sSllYWJfOKGghHDMzZaS8NYQzuyo++SpYf7AXU xfQz83YypYCOgq7Pcsm8nezsl0+XeNNYoVLtWX47mfT71MaG+he9zNvJ7qMc fVcDJl2/v2isfkMC85Fjr4i5dzGqdzXcYY6zdXoxaVGifkMCqsQtGaet5Nir AEjEyk2P969k/VNTkjxKdxD+hvyQ1NkRs3PKeHUXJYn76aDM28lOEJNisjub bydLpXzqxPuZKBniPfslQ7wnlMz7eM9mybyP967l7LwF9+woSWbex/tgZCQz xPvgxaSFeJVntVIpVJLGfC1+Wk1XbWeniPU3U9/nVOVhNeYDKvdirgdh0hMg MMVqUwchpYi1OFOs5I68KPnHqRK8lEr9gi5SqeEzV4RJU8zXyTT1r8DvFMWk RQmeIO7YSaUS8ZhMihhzdpQoYlIEqrMjJo0dlLpNBB+mUkny4IVgqUMmlaSF eClnR8zJliEvn0y8aAiFQkspFyoRT8ylpQDq8/Pz6art7JR4PP6J7bqXfU5b 5ubmxN3LmXIv5V7MlXaTBoPBNI4gdbULCwvpqg2FVJhiJeL+1Y9TJcZ+KrZF ZFpi2meonGzSey9pMR1iUve6tCghlqZuFpoTjUbD4fDDoUQRw9+HQ0waOygt NolEIqlUQhGVpJhfaAuVpJ5TonI5O2JOtgy5Y2pq6uRrvBy+k3KhEiZZqdcj ytbWFsEhXbWdnYK16frU9zlV2d7expjSo/GZcg/lXsyVdpNSFSNofX09XRWq q92QHw9JS21UlXq4YHTj4fj5Cd/et23TJfKzVYTRNjc3U6kE0+GB6erfVMSk S4n0+v3FxdTNkkgk9t8+8dlXIsTABg+NmHR1UFpssrq6uv/WlBQKKCV+NE+l EnFfUOpUJsSkmOzSJYaOPlkMednn82Xu4z0jZSdzH++ZL5n7eE8omft4z2bJ 3Md717JzZu6ePTtKkpn7eB+MjGTmPt4HLybz5Npnq2SI9+yXDPGeUDLEezZL hnjvWs4OZ54dJckM8T4YGckM8T54MWkn3sVYNHHiO0Zub6xLr0o7cAzlRSIK 8eI20WhUxKv5+XmRxPHGYDAochyC2Vb8kw+VN2pyCF8ljxIvwZN6+Dz15zLu WhYWFtTP7rHt9/tPyx7izbrqJE7/frRf1DS7JN/8LPICp1OOVe+zsZZYWV7a S3kYZoj33sunTrziSQGxIc4VCAQEZ7KDCKeML/VwwGcYdMJtpFcxLyzMzc0J eQrxckg4HBauTj2RSASP5VvGI9ti8HKIqJ/KY7EY34qjlMH4EeK9o7x4imPX 11YWY9La8VIOWk8sL8USq8vyPrfllyvu73yMeLe3t3ZVdKQQr3gai3aJ18Jz XnQKDUQMPpdewRqPi/uft6SVhhLKDiKmiTDCnsmDhw2JJOwjL8i1yzYHisYy EsVubIvQtC0X8ZpiviLSin2wBkqoSrwYWWRb/rKn6C8hDwGcmp3Zjb8LchEV Ilici/8qvZkiHx4j3u2trSPusb2l+Kp409dhRyzG1cY/8k4w0vf62kEfba8c vBVWlC0Sh/I2VDlOqcWoiVcRI72ZGY/a2FD2PEHMxykR/xVvGk8evIpNdjOp BjbXVeSj5kz2xNMOY6ncZfuCScerCFncSKxKS1atLK8uLa6vJaSlW24fLnBw 0Lrd/SZID0zdTqiGg2yK9cTBUtpYRRFzXIm0HLm0Lb0odWWZAaJUIt68KhIr zaR+RefplKwfKllfW6U5arModHcgRvLkzdsby/GFra3DEQ29LcUXduXl82jL 8mJcjG6xlOdRMXtCDNWuLi+qxdAWXEW8u0x6SfVifEMWw557qjXXhIdsHyzU LlZJU8Tsy5ZWFdm3DL60d9CEuyqRn2jbUHvmHfm9cGuHZklsrB12kCIDUStL Sxx4L8wpGeRgN4V4pd5P4JVSJWuJVdHXH1sD5WiKV4h3T1qYY21lCYut7b/Y WV5P6OAdwhhhifo5L4OI3dRLFR95Be7mZmJlCYttHcR5DLtz8H5IBhcOz1dU i3HQrI4JCvF+nBh18/dk0VCp6HGFDxUxfJKQTiFZZkUeZR/HdVKPLNG6FXUv pJF4aWNjVUlDZVFNwc3gbADnF44xNTbc57Qpxmlr1DRUFdcV3cIr5PV6binV CtuaTKavfOUrk5OTTzzxxOuvv/7UU08R83/zm9/8/ve//+lPf0rYf+211371 q18988wz5eXlNOqPf/zjc889d+XKFRLBk08++cEHH+yo1lzDoo8//vgrr7zy zjvvcOyBQ+7uj1D5jMoyE+KuRbGN96onffxX7CZGh5K12eCMzc3N4r82mw3B f/7zn1966aWkDKXCVpyRbfH2/qysLPG0oLg7haRJV7Lbyy+/DGaIU5Al/+M/ /sNutwtV4sX+SRXNopN2/elPf/rFL37hcrnq6uqwG7uJVRfFPgzGkqyLurKC moIb8wF/Un4Zu4iNd+R3Swq3lB1sTd5/n7GJdGKNHmGlDPGeqny6xEu5efPm I488glN9+OGHU1NTf/3rX//whz/87Gc/a29vb2pq+uIXv4if3Lp1S6xbnZSd s7Oz85vf/Obzzz9fUVGh1+uffvppxotwckG8FA5hfDH0qMdgMOB+b731Vn19 PXtSOcOTQEGdX/7yl4eHh6G7n//85xcvXqytrf3BD37wwgsv3LhxQ46Th8SL KzpbdYbqPPFf3LWtsVJXftOsr1hZjtcXXTXVF/e2m6KhOWNtYbfN4J9yjw1J K4sdEi8cuxg31FWY9bWJA7xR1lzDwr+RC+MRzYwUGtjS0tLT04PaZ5991mg0 FhcXY5wf//jHjKC8vDxCSvKAeFGL9RDPKHv33XcZmwxtjEmo4fNXX331BblY rdbs7Oxf/vKXVM7hDPD//M//ZEi2trbW1NTQBWK3wsJCYsLXvvY1duOkhC8+ pDbg9ty5c5yOiHf+/HmPx0NVCP7d73733nvv0RF0JRZGANsw9rVr1+iC3/72 t5WVlbSFUEkNnFdZZPz+yuEqw5g0HjPUlLc11ZMKCRFjQ33l2ZdFptve2uxp t1Tn32isLMby7c0NtQXZzZrKxOrq5KhLRFSRDqhq3NVflZfln/KQoYhCmuKc bmtrUiwnHYvUFmZrSnJH+roiwTl59d487/ioImZ/lWGGyULUUF1qMWhBIPdg L3tqywuXFmJyN2322NskMVUl5D6bSS+J0VaJd8OqlEgr7wglSXn1qJqCbFdP h3yi3blpL0oaKovHhwf8kx7qN9SU+SfHw/Oz8WhE4UwkBWf8jdUlXdYWyC3g ndBXFgemJoRgsMHRYtCU5FTn3aBmlGiKc6vzsiZGh6YnxtRARdQd6LBrywuC gelIcL6+NE9XXjAsL1UMA8wipuAmYjwjQ9OT0qLGTdWlc35fUkW8aOZYlJA9 wct+p60qN6tFVy0QkdY5WpuwiaVJGwsHzQ11ZFi0iTf5H1Gyvt7fYUPJ/Ixf UlKSqysvFEsVo2Rmeqom/yaZekJeWFYyS3XZXMAn2qvQHWLmEVNZ2m1vXYhG emzmmsJsQ02poERpxV46pTC7VVcbCc62aGs1xbesBmlZ5KmxEbUYElC/044A agvNBrRl+fXFua7ezqQMRdMT43XFOdqyAo9rADerLbqF0TBswDcJTh+K2d3F VnhmT3vbUjzW67BU52a16moEt4tVlWmUzaiNhoMt2hpNUU5Hm1FMh1VKEn0O m768MDjrxwc4r76iUKznyJ4z3gm6uLGqeHJsGHetyr3WVFMWnAmobULbORFm 56uJUZfArTtyJt2T1iC+fTgpu70x1NOB9yrYrBAvKZj+LbtxqfDy+06zUUCp KFSCuZTcAWvRRmXFSVEU4vV53PqKYkbfYJdDEHgw4PdPTXBqdvN5xnAwbUke HjjS34VhGfiz0/vLtSuQidN2mI3SIolN2jm/V2AtnSKWrmbodVlb8RC7qQG/ tRp0OCTGV96RrhAvFtNXFNF3Q4hZXZHFTDOUxJ44s9Wg7W23AvrDfV30Y1XO 9YHOdsHDihjCRZu+rvDK+4zopupyTr0QllbXErZRrJSUFzhr1lRpy/JG+nuw knSijY00Ei+wfeO91zjLuvSOjl1nK2kqmxBnM+qvv/2yWCBGjKbRgR7sIy21 M+7GOEq1gj+j0SjJCP/57ne/C0k++uijhHSCPGTI5wR20sHExATNJxlpNBqx qD1p4urVq/n5+cmDmYJgV+R9+9vfFqsUORyOoqIisiFZQ6vVPvbYYzk5OZcv XyZ9kFDGxsa+853vANVUQsIizZErxSrD1CaWDy4oKODAH/7whxzb399PUiOt k3SoXOxG6iRzJWVOgApefPFFMhf5kVxJwiXBkez+9V//FT3kO5pTXV0N1Qtq BcsB3aSMuIAHqt5+++1wOIyMN954gzSdPLrKMHo4Y19fH9mThlAhqVPcfS32 gQEYsBI/+6Yqc695x0aZj+By836vpiSP3mEg4LQlNz4kU1TkXOUTa6O0Np+x toLAOz3lYdAtRMMZ4j1VOS3x3vlIub/zKsQLW37rW9+CiCAlHJ7xgp+43e5f //rX8CfDAULD7QcGBsSBBJO2trYLFy4wrDgQdxKXLtXXeMUqw7h0VVUVHAvo 4thMsrq7uwEzquJwuAv35nNGIsEfGQwQzsghDO2Ojg5OpBDvzvaWe6iroTKn VVumWIV/q8uL9cXXFmOh6ryLw73teGNobrqpKs+kKWw3achHSRXxEouJ9kzr +hwWZYkB9SrDQKbf74dvaTtjjQbyCQeOj48zwNEvdmOboYc2/gosF6sMw598 FQgEQPrR0VGxiDmNoiqGZFJmYyISI5FBB+QzkBsaGohL8DAIff36deYIcKmY a9PjDHZqw7xELcIaBzKu6SBsQgdxLozMgSLxEbswGobdkdeaZHR7vV6Chrik LJZH//73vw9U5+bmEtzuz20UowniJbuZNJVlNy+DUuSyOf80GV9bmiuCM4mY /64sL5LTex1WKVmvr7H/YLfDWCtNFgRnUtt8wJd/6RyRBCwBIFu0VRyrLc0X V2lIASQI6teV5vfYLa4eZ3huxlhXoYgRxIsYqoW3+zvsBCJOFJmfHehoB9UO xBStLi3ZTfpep21fTF0l2U2thByNElNdxazfy0Qe5bC3tEifnLPYoLbQ7AwY Az+7B/vgXk7qbDOCTwpnAt6AaE3+jeH+bs4bDs6adXVKUhOFWIo3ylfk9sAG 8rL4zUUBKhruGRksvPpBW2M9O4y7BpxmUzQ436KrYYRJYrocA512kI+2IGZs qN/rGW1vaUqqiHcxFqULILfR/h56B0gIzQTgBLEEsFgvbyESspsagXO4dyES bmvUyItvHlHC2Quvvs8OMz6U9Hda9pXwFQ0c6HIMdrYLyCcLjA0PeMfcsLRo qUJ3kpjygpqCm3QoxqfhsXCoub4yNBtQuhJJTTWlzI84O73cWF3KsFV+3UAM bR8f6i+88oGlqZ6dxUVjSNusr9uPC9K19zVXtxNzsU1M6LS0DHU7ZRa6oxIT kS7vFGYzM5r3+2haaG4GM3qGB+XemaXCeDRsM+q6ba1WyTKhtoa6eCx6qGRr CzOiBGyjg6gHoBLduitfxqd3OC9mBxSpBMCbdA+jSm2TaGieqRxq1xIrVI7r 8glTiTFXf0NFMdyIkQVwgkD0r7GmXPzEkDx6VwNiQESGCe3lpBD45MgQZNtl aaFTxlwDgpyX43E8ZKTvyCLjCvFixhadtH4iY9Bm0NWX5tNwJncbBy9A44xQ ZZ/DKv0csLJM5XSl+EqBTPyhw2xqa9Aw5WEawuS0RVuNYcUMSOQsGMNpNsx4 J9mmhk5Ls/gFJ6kiXpy/VVsz3NeNGPxWeyBGXFjmb7fd3Nu+j8r0Do4n1i5P Hr3gjLmw6oS8UB1jueT6h1jJ1dvFzkxCpdYdLFoXDc5ZGrVoXlmK46uYVE28 d828p7qrgSkqQ5XwQk8xz4LSS29cxG167GZ1dxAq6fetzU3cmC5QqlWIV2QQ UjMhnQhPxiTXENsff/xxdvjjH/9IJmKD3HrlyhWRep5//vk333yTZKEMNEG8 1EkSpx4yb1NTE+mDE7388su3bt3iQ5IdiMtu4CI0C2HSatIWgE32EZe8RCU3 b94kV5K/yOPwKlmMtM4O1AZtGo3GpJz+UKjcz4BgKiQxgQdUSJfRFpjhgw8+ 4NsnnniCPEgKfuutt9iztLSUDUG89MiPfvQjcOW///u/yXQ/+clP4G1x+VdN vCCx2JmqAJi///u/h6jFpeN94l1dwTmT8k8SZTcvVeZchXgxOPMvZtP4VUNV 0Uhfj6G2fHV5GdxdX09oinOJkGZ9bcWtq0zPLQ31IXmd6Azx3ns5FfGKjchB ET9/39951dd4GTIwHh5yTS5JeSDj2EApDAxu8W1XVxfujT/zIQ78xS9+EX+G k/nqWLWCeCGrb37zm1/72teYhYF81MbONpuN8YiL4r2MSnHhF38Wl5GBQ4Yk O4tIzqgUxCvlvmCg+OpbNmNNVc55wpE418baqllfMTrQIa1g63X3MFuuuEWU mHIPOFv1xroCu7GOvKYQ7+7uDvO4omvntWX5Yk32pIp4AUtmoMyFYUXgs7Gx kUHEJJQBMjg4yJAnIDB8aD4WS8ozTaa9x4j3y1/+MhPhrKwsuobaCgsLa2pq aFpeXl5SjsPMVUHWpEzO1EmcOX/+/Pvvv89gJ1CMjIwwKrEPFhbEC7ViwEce eQQrvfbaa4K3kUEowJJMvZlKi4Ygo729ndoQDFfTCmojdolzEf0AXSYvf/nL X5gUM/W4P7dRjCaIF8tPul1QGTBJPK/Kvd6irSm5foHt5AFkkpu6rGZHSyOM yjb81mVpBkeTqiuraysrzfVVeRffIRdPjY/Qk+JYehNnGurpIAptrCXoOPI1 ySsei0ARihhBvIiZGB0qvPJ+Y0WRjMSVy/GF0UEp6StigAfQztHStC+mQUPa VSth4t+sqcy7eI5E7OrpKLl+sammzFBTjvPIDNMOOpJe9ZVFHW2mac8YrA7c tpsaQ3MBhTOly3HdTjwNnkwsL8MG/R3tykXppHwJEQQSV2uXFmI2U4Pv4FsF qNiIRYL6imImFKTFscE+jAAOtepqt7Y2EQN7gzSxcFASY26enhyf8U7Zjfqk inhRAo4Wgc0NmoDXA5stRiNoE1dEqQ2KAzZoCxMBe3Mj44INwvhxJSGUFDKb cA/1YYE+p41jifzS7T0ocdpgPz5pqChytpn8U+OBqUm7qUG0SKG7zQ3EtCPG 0qiBQ+gRiAUCVH5kZwLraDVQmzBLW1M9c4q7mCU0rysvKMu+jEnl6dI0vRme mxV74gbTE2PMnuj97a3N8eHBZm3NR28nkK6fd8pimur9UxM2g3ZxISb3rzQ0 wvOzWGxlMY4ee3NDe3MTLmcz6GmjWgnIDTaX37rKdGO0r5vDZbPUCSCkdcwU gGc8pMNsDHil2RxVqWVI9x3N+OHY2oKb2N/ZasJ1waH+znZOF5qfoUOjoaAQ D4HbjY2JhOr2m0Pi3ZRwutXIbItzgZRDPc5mTRXOA3DibOKXWYwz0t8DTquH 8yHxjrr0lcXIYGaHSzBHg/9plLK8nXd8hG5F8M721mCXk4mPQqqHxLuWoI0A Kn3H0MPzY5HQQIddrLgt9fIKc5Bm3JKhjae1mxrELz5qMTLxDsH8shgnCE1f j0ti7LiN2NMzPMQI2ty8vbe3i+A+p1W5UKwmXk6HuxI0vONu2kK1EDt9RNcg aVC+gCyOEhfAGfVSMJF/BVCIF1UAmJJ5Cc6C3E5xjTeRwAiMVsYI8aTgyvvu gV5ACz04s/iZA7fB5jgA39JMplEFl98XP6ArxOt2u2FdQvr3vve90dFRwA+c I6T7/X64kbQl8jKISB6ZnJyEQskL5DVyCqmcpCB+hFKu8T766KNwI1V1dnaS puFPkhE5S6fT8S2VkE3gUq1WS83kaHIiCYvzgrUCrcmD3/jGN8hfTz31FPxg MpksFgvES6oiaf785z8XxEuBislQAwMDJD7IgXzEzkhCHt/SCupEA2TLGfmE s0AIZDEy6SuvvDIzMyMu26KqoaGBBApmAMkciBGSR4n3scces9vtJE3OmJ+f D8k0NzeL+zMV4i2+fhG/IhkxzWe8M6Uig8wFvHgvzslUkZmRqb5qLbGqK81n BgIPk8i0pQUEUqITXpQh3tOWFK/x3vd5FeJlGoh/AnKf+9znHA4HnAbc8iE0 BX8Cw7jN//t//w/qw1HZAf/Hx1599VVxKykohS8BcoK9BfHiV7giQ4D5HfM4 ZovAG449Pj6OBzKyOC8nxbc1Gs3vf/97RiiOzSBFBnsybC9duqS+xru5sebz DPe2N1fmfLC4EHEPdi1Gg5ria41VOeFZ/9rKon9qzDs2pCuTpsa3N9Zshlq7 qdZqqJn1eVTEuzs3PQUyFV59f6CjXdhBIV4CGm3x+XyIZ4QyNhHDfJOggWAG FBhMcCOqiHedYYr5+fnkwV0N1MPAZwxiKEZrW1sbrevp6SGSdHR0EHacTifV MuiIJ8QBSJgpBh9yCoLYF77wBYIMFsPIxBPiBj0OnU5NTUG8hBr24dQEBJAY o2FYLEwHYT16hDCFGCIbIQL9GJDKA4EAGugscS4qZ+Czz+c///m0Ee/u7qxP Yhs4k2REniWRFVx+b27aRzYBG0CRwW5nY2Xx5PhIQ3kR5EbQmJn0WJq0yQPO xI2lmxCG+phHV+Vdn/V564pzADxADmjhEDhBW54/3NcFxpCs+Qv7tTc3KmL2 iVcWYzNKYga7HaTdbmsL6Z6sLeWR4CyzdTIjGWdqfFRfXkjNmtI8ccOwogQW JVODH1V5WZAV3NtUVcKBC5HguGuQLMk2mYsICTS2amu67a3OVsNwb6f6Gu/W 5m2fx92iqynPvkKqjQbnm+urybbkNa/HvRKP0yJDXQW7ASoe1wBgfHDD6rYC VORxGIyMXJWf1VBVDBU0VZXSrlZ9nSRmeADKMtaWw72WxnrSNCQMSPR3SPe2 qZWQ6Ft01RW3rlIVRuu0tCB+clS6/QAGa9VWwwNMN7C/sa58sNNhkm47kXL0 oRL5qvVgV3t1HkpKJiQlJSgxN2gWwkHMC+5KSpwo0cInspIW/EF0kEJ3Qgym QMxwfzfzmsrca9iNyn3jbsDVUFtWX5Ibmp1hW1OSQ53h4Fw0HBREpIiJL0Qx pnTvRG05rSjJugjRxSNh9hSQVnztvKu3YyEcGpQA+zxdwNxh2uOG54+KGYUJ K3OuAod2YwNTIXNDHX5L3zEPwia0CGtgZ4RJlqmvXJdB91BJLIKSSvl+EtCF v4Od7eIiuWd4AOcxaiohMfIjSkipHW1G7JM8eleDe6jf753obGtmTsE+dKJc jwNPhp9tpsZoULp+xc5MasjF8iXx/VygEC+TIJrJzGspvmAz6ujo5vpKRhne PjLQI03H5DtFcW9GKy3dPEplgnglGnTakMQEp9dhDXgnMCYeBfFyLvdAT03B TUwNtjlaDHWF2fgMMJCU05ACmewMUjJS+BCoA0qXFuNYErdJyncjmDQV+vKi Gd8U/ExzcP5YeF5ZBfuQeIcHMR2uiBGokB6RxDhtazLxEud77GarQU+FzK+Z wwbk25BEOUK8y0vMINCDbxCd6N++DhsuyrClu/krfmdZiIRnfJPU0203Y0PC gnjz5Mdd4xUnunfixf7UjDsxYBGPGfGTkf5uGs5A8MpXpxnyfI5XM2Xjv7gW xqH5SRXxkowuXLgA35aUlFy8eJGkySkAUfGSRkI9WUb8kCdurOWrN998kzTE dkFBwc2bN+Wbn/eJlw0+ZH8yfiwWA0HZNpvNJGtSDzuQXEjNJDvy2te+9jW+ JdFgkxs3brz33nter3RlA0ORjwBL8trQ0BDaQFaQgATEseRNcW02KV9xJc2B BGQooJQsT4XsRrrkW84rfu0lVYEHd+RHitiZT0Br0ijfIpi2DA8PS/PNSKS6 ujorK4sdQqFQUkW82AQLYB+4nQ9pzsTEhBKOxD7b21vdVlxIxwDZkx8cYHrL f3FvwhGf0AuxcAi/ooHesRHpR5bxEWIyg9TR2kSOw4fXVlczxHuqclriTVcR xEtkwEWZOuEhjB0GOCwENeEtRAycBEalu2E/ceuCEMP+CjIJv4XQROAVxEu1 TMTwfLaZzcHMDAegkdHHCKIqPmcEMabYE6/G/zkjs0jEMJzZ5rzJjzy5trV1 e8Y7DiSMDXUvxyNdlqZOS0O/07wYC3dZm0DcyHxAer4shpe6F8LzHWb9ylL8 yDXecXdd0S2ym/IEnPLkGhZAp1jAiP3BeIYqUmkIgw5JfAgPM+6S8sjFJkwH kqr7eOkjm83GiWgFLSIiMZzz8vIIRByFVRmbhAsQGsplWzybhkEwO2Gqv78f 8j937hwdIcI1cQZtnMtqtWIoDgRfMRr7EJqwDAdiXuUQKqdfaAgRgx04L4EC fhYBATsz8KkNYBa/Ad13OXqNd6S28CaxQuQs6UbKSXxmiwTH3ISIQXwYHegT t02a9bVTY6PYSlyoObiyekfczViRc43kTg0wJ+kAgEnI/EnNA13tZDd6U75I ayZPKVft1Nd4QSOSstNs5BBxpx+YJ8OAaykeJZS1NdRRobgJlmyiXHfdV3JH UmI3NVbkXouG5kTlYFIkNB+PhtlZZPNOa4t4EAaugxBub6xLLwWWnwdUrqzC 53XFuXJ2uz0X8CIe5qEqKllaQMis+Ckf8MAs4i4C/FMCqr29/UuIUhYOQZX6 8oJ4NALZAEvYOR4LL0QiQkxvuwV6gQokMW0mxIinqNRKIHNNUQ7Zk04Jzc2C Q2R/sjwxHBPNTKNNR20Mqyn3iNWoE9fnk+rLqvLtB5C2pCQWxfKD0j0DxsVo JBYN+2QlPfa2Llsr1YIKHWZTX4dd/BafPHqNFzEMQDoFDkGSxaDtsVvmAj4g E4NQCdm/z2GZnZ5ymk3tLY3gVnA24J/0qCYCiAlCLPqKIswSmpuxNtYjhvlL ZH4WnpnxTVjgxjYTgIQTtjVIvylAO/Cb/CSaco0XMR21RbdcPU68JTjr59Qc gmey8/JSHMSyGXQQNT2LX2E35Xf5QyUh6dYOqHIpHltfS9Ai2g6QMxGgRYmV lR6bGc6Rn8JbQGR/R7t4NEaRsbG+Bm+3amuZRtGLJFmzro6OxuCcDlPPBabF Y4C4GTMLOmtidOjOnb3kUeKVZyUxDmEU0IPmBqnCWCTkn/JYG7WBqQnxUBKT UCd+4rBgOmU4K8RLDewg34q7xgZOxSeR4Jx4XoyqHM1N5HqmANKExaBjIARn /HeOEi87R+Tb2pPSRekIGqiPSsTt9MuLcQYCKM6IHnMNdNtADi1grFxGVoiX eVB4bnZLuoCRQAx9xydRWUxS/gkAcMWkuA0zSrpvR/Ug/5HH6LY2w/MzDD26 gIHMgdFQENm4ls2kp1EcyOkYhjg/Hiidd36Wybt0X0Hm7WQHhexDWkmXgAdU Mm8nO/vl0yXeNFaoVHuW304mntZfU70fJvN2svso6nc1YFLwQPmp8VRF/YYE khSJ8v7EKO9qkMQsxtUvCvhbKlG/IWFnZ3slHr99+puO7hx9FQBpV/BwKkqw yaelJHn0vQQ70ssTFjbTIyacupilxbhC5vevJHpqJZm3k50sJsVkd2bfTnbf 5VMn3s9EyRDv2S8Z4j2hZN7HezZL5n28dy1n5y24Z0dJMvM+3gcjI5kh3gcv Ji3Eq34b7X0XsShe6vWIckd+eWa6ajs7hX7/RGC4l31OVR5WYz6gci/mehAm PQECU6w2dRBSivRe1pQ55I78ot2PUyV4KZX6BV2kUsNnrgiTpv7G8rT0r8Dv FMWkRcmOvCxp6hgj3QyZGsacHSWKmBSB6uyISWMHpW4TwYepVJKUqUy8ATWV Snbl57zSQrzileNnRMzJliEvn0y8aIhGo4mUC5VA16nXIwr8HAqF0lXb2Smk 8nA4nPo+pyoYM70VPtzlXsyVdpNSYSQSoevTWKeoloGZxmrFiylSrOTkxhKg UjyFWB4ilRo+cyVd/pMW04keTFFMWpSgIXX/x7a4fSwWeziUKGLopodDTBo7 KHWbxOPxhYWFVCqhiErEmgL3XWgLlaROZXG5fFbEkJe9Xu/JxIurrKdcxApN qdcjCvM1wl26ajs7RRBI6vucqjysxnxA5V7MlXaTUiEjiLGZxjqVavGodFUo FkFLsRJUUcnHqUrdtmkR+dkqJ5v03svfoH//lkrQIEAolUpoDvhNnn04lChi pIUSHgoxaeyg1G2yKJdUKqHQHCpJUYzgw9SpbEkuZ0fMyZYhd5xMvJm7Gv6W JXNXw9kvmbsaTiiZuxrOZsnc1XDXcnbuJTg7SpKZuxoejIxk5q6Gv4mYFO9q yDy59rcsmSfXzn7JPLl2Qsk8uXY2S+bJtbuWs/O82NlRksw8ufZgZCQzT649 eDFpf1fDvRhZrPF9rCjEq7wc+FhtapHHBKvdTGwfI17xht5PFHZ/hcx7LDjf X6ym+Z8o8m9GvFhYeRtehnhPVc4g8d6HQypjSk28xwSLpUI/+vkJ5ROJd2fn kGPlxejvMiKOEe9HVamJ965xY1deHSB5sCL5R0V+HCypI8mx6PRxRji2v7Ln CUZT+ksJg+pDHsRIPEa8J59CHW+PWe8YZ+7dbU+1rY7ZTV439jjxfuJQuquY E5ScXJu6wmOc+YmWvyvwfBSo7moW9f4freQkJR/Z/+N0pkVJ8iN0d9dBmqKY e6/nBDEfPUT9rdohjyvZO1Ry55476BjxnkAsx2pTD4djxHtahBZVqYl3v/I7 d8SiY/ciQzm1ApnqyKkEz4+t52hg/CjxnrD9UWufLGZvd+dEMcfBL43ESyWd lubawuyagptiUQlRQrOB6clxpUWWJi07WJrq78hL4LU1apRqRXNMJtPjjz/u 8XhefPHFP/3pT3/9619xxbfeeus3v/nN66+/juDr16//+te/fv7558U78y9f vixWUsMgf/jDH9hTveYa27/73e/4/OWXX35AV32Li4ttNpvY9nq9nO655557 //3377qz3++ngR/9nLZziFhmIimvIvr000+PjIwc202hWTJCVlaWWMRKvJpe fHJHduz9VSrW1x2thvtD/cTqSlvDftdkiPdU5dMlXjiwqqrqhRdeYLuoqCgS ieTl5T377LN8gnPiqD/72c8YszU1NWIFlqQc+V0u15NPPskw6ejoGBgY+NWv fvXaa68JNBXEi+NVV1f//Oc/Z1RyYHt7+1NPPfXnP/+5trb25s2b7H/u3Dla hHszGAOBAOfljAzV5uZmPJk9dTpd8ijxMqUac3W3m/bd7PZGwtxQqSm61ttu 2kisGusKmqpyO9sal+NRm7F2uK89GpydGO1PHiXezdu3e9vbpFUJjq5AIZS/ +eabBIqrV69OTk6iQazJ2NPTg0HY7uvrwzjswH+tVqu0TM/Cwp2DVYbZmJ2d FQuOl5WVxWKxP8iFccrn+fn5RCS+wlwGg+GXv/ylsB6B65lnnmGHzs7OtrY2 sdzz73//+/LyckxHZCM+EDEQg30YuZwRDcQujCb664033kASO3zwwQcY/Cc/ +Qlxj5NyYDgcbmhoEOei/q6uLqxNYxEgluC576Im3s2N9W6b2dXTsQ00Li3Z mxv9B4sfSesi2Vqr8rLaGurIzK5uZ01BdoeleXt7Mzw7I34dFumACsPzM626 2sVYdGVpsbGyuKYwW1pTIDirKcnVlRUEvBOzfq++rKCppiw8N7u9tUUn6isK 2V9NvPKKxq2u3s6t27cDvknyS4u2+ra8viqTI49rkGxiM+rYjcM5RaelRUQ8 tZLQ3L6S3Z0dseSxQj7ridXh3s6BLgeONDbUpynJ05bl9dot7IkkNWcuLy6g ZHx4UHohf2i+o80YnAmISnZ3d2anpwy15b32NurBXM5Ww3oisba6MjftVQOV WM6jvbkJmyzFY8311Q2VRSI/sls0PN9YVWKsLQ/O+tGsLcunsXF5+Wy1kqU4 Slo8I0OwkWd4sK7wFnF+S07Kwg51Rbd62y1bKiVC5zElvskxScny4tJCzFRf 1VBV4leUBOf5r7GuHBmry0vKklv7I1dFd7QCm0+MDElmCc52mE1iReOknIAG uto1RTm9DgueMz017mg1KuuMHBWz5ZsYc8hipHUZBvvQnzyY30WDcw2VxYgJ z8+tLi/2OT9ezAJimuGKjfW1saH+2sJbHWbj1pYUGfhkoFMSw+G0CKetL80d 7u0SpKco2UaJx+1oaZLWR4hFTZoKeiQgr1vNbtL6whXF0grI89IqctrS3FZ9 7XJ8QS2DA20GHa5oaayPy+/1XUusTo66xMpioqVOs+H2hrSIQ31JXlNNiVic OqkiXvyTbw01ZbVFt+gjsciFaMX0xLiyLPviQrTPYUMwVu22m2ndcF/35u0N 8ds9NherqpXfumKoLrMadP4DEjtWVleW8O3q/CzMPuvzMiJonQKZYoHm8uzL iDHVVQx1OxOrd78gMD0xpq8oaqouRRKe6R7sE2IEZM5Oe011lRppGRe7eIM6 bZzxTYrV4nwHxwprT42N9Njb4rHIwRA7FGPW15VnX0GMsa5yqKdj7WPE0Nim 6rLG6hLE4KXRUBAXTSPxrq2uZr37SiwcpMdx2o42E+GLjsbO1956SSyFw4lW V5ZpUUnWh7jWQIe99MYlpVpBvPPz8z/96U+p9vvf//7g4CB/fT4fgT0ajRL/ odw//vGPvb29Y2Nj3/3ud+12u1gklDxOvvjwww/F1Ea9yvB3vvMdUsPQ0NDw 8HBTUxOOTbonZZNTSD1arZZUQkbjvCQmse4n5Pn222+TaIJBaf1ragMm2Z8U 5nA42J+kQ3JHA7npS1/6ktlsFq1DIdtYlcQKRYANpCqSGpkXDL5161Zpaem/ /Mu/6PV6YODVV1+tq6t7Uy7ku5deekms3cbYIa898sgjFy9eJPKfP38eJZgi eXSVYTTwX85F5p2bmyNXIl5NvImVFcYd01XKYFf75sYGIZ0ITHgkejPkGY/M OAiqC5FQZ1tLfWk+7tGsqcLropFQzoW3GO+M0wzxnqp8usQrVhn+93//d3wV dsLVIS6+wqtxbwD13/7t3/jw0qVL/f37S7HjHjjtu+++63a7v/e97zHWGCyM I4EcyirDHNLY2Ai54dL47SuvvIJPAlqMFMYXH1ZWVlLzo48+Cg0ynPFe9oeT +S+DhQ31KsN4ZcA7VpX3oaE6X8iQlgVcXY7HwnVFV+ORYG3BJa9neGNtdd7v NdTmt2hKnK26laWFpIp4SQQ4c+HVD8y6WuWl8QrxEhaIFRMTE7+TC3iJToYk EYCRy6BDLfFhZmYGgGS0YpBr164pxCtWGeYrAuATTzxB9CDIiBkBk1aMSUMY dwQERiIb7MDwh/C//OUvA6vMwekIDoSrY3JhdKOHE3FGDmfIi4AGNlMVluTb nJwcsdod0woiEieiE/mWeEUQ4EA0EJToII6lL/7rv/6roKAgNzeXHVJxHoV4 yT52k7742gVzo4aMT4ioK8oZ6d9fj++OvLYa1FFXnDPlHiZDLYSDoBGBxaSR lqs7WNt3LxycK836sFai3H7pFsfV5VnfVF3xLTCM1GMx6DrbmsnRZn1tt61N ZMD6klyyg3xVZp94EWM1aBFDmCLTQa3ecTdIQ0ZOyuvak2JCs9Bsjau3C3SM hUNNVSXUr1YCgJFugED3UD8uM9TlhNiV6wASnxj1cIs0EHZ24tEI9YNwyJ4L HK4yDGO01FeX3bzsbDMSPGd8U0A7SVlUgu81VpZ0WkzkVZxytL8HqqeqidEh 6drOAVBRv88zWnLjInbzDA8AZtamesi/RVfDV8AM7XKajSRomKrPaet3WmEG MmlSRbwri/Hm+iqUdLQ1z3gnSa90hLPNNCkv+RoNzbdoawJTE9gNlhgd6AUw oGul+xQlkD9mwWiekUF41dokLeOFJZVVw2BFGohxaEiztqrL0qJ4i0J3y4jR VJRlS2IQBmBD6T55fdVDMd5JjADtSGYpzsXge9L6aOuKGOYWnEgWU+zzjOFg 5CawX4RHeT24jg6LadI9YjMhJtxcXwmeSb9Cbm1uybOSAzELptpKxDAdoO2W Rq13fATGFuwBXNGDfA4vgb44HpKQt7wUP1SyvT3pHi65fgHKxSb0kdWoD0x5 OIQ0ur6WGOp04B7esWHIDThkcjHS191ta1XbBIVMH0b6eqBiZiXsCT+P9HUl VqS4R8iCbwFd/hvwTWmKc0KzAWVBXoV4AVYmC/ryQhwP9A7O+Jkc0ddjg700 EHmCnyFw8vVQdweTILuxAVdJLC8rl1VxcmzL4O2yNDMZYe5TeuMibZkYGWTy yLEz01NheXrCbqApLE2ntzXWtzc3MglVIFNeuy1CFw/3d0+MuOpL86pzswY6 Hb4JdzAwzfjCh+nQpHz9gf7qdVqZhNpMDf0dNjxNvcqwxaClr0OzftyboM1o YkSLFUPEsT3tUjSgvbqKQqbJ4YOFY9RisDAOP9LfQx8RNAD1QSFmRpon4sYH FW5Ew0G7qZHupp75gG9Tngik8a4GZk9lNy5V5l4nAuAJ2tI8LExfM2rUC8YZ ayuIP2KM0/VKtYJ4Ibdnn32WBn7jG98gPX3rW9+y2WxPPfWUuNzB6cgLZCL2 JBmBuGQutsloZASNRqMEcEG8jIivf/3rsKXIQfwVq9vfvHnz3LlzNO3JJ58k GUEFpA8qIaeQv1588UXOQnIhmwhrk69feOEF8hfoS35hZ2pgH/IUGsRlW871 wx/+UPkxDs1vvfXWY489RmL98Y9/TL575plnYADEYHbQglQIzAMGwC20wM6C ePkWPCZBcyxZmG853bFVhiFeQJdmsjPC+JZW/Pa3vz1GvAReYj5xXldeuJZY aWuoYwaHs1158yWPa8BuaqjOyyJ0Ex515QWBKekSyqTbRWRg6sRgZFSKKXCG eO+9nIp478iPsMUOCpMj9eA6VVGIF8/BRXGhv/71r5cvX75x40ZSviEfx8aR +C/TtJdffrmnp6ezsxPWdTqdcNr//M//iAuYHHisWoktt7bwcxySaebk5CQu /c1vfvOdd95hxDGaxGVMUJBjGSD4OcOZAQJmw8Zi6V5cF3cVxEurF6LBqpzz PUTG8mwinTgX6aDL2tTRpmejz9Fsqitq1ZWtJ1Z67EZrU02LtnSoywI7KcQr LVbbYc+9+A4RRoTcpIp4MSZjkEHKuKZdBoMBLmVoo8FisTBUwVdiDm0nFDDw CQVMpZMHdzVQD7T81a9+leZgxnA4/O1vf5vBix2uXr3KZDkpRwYIFmMmDwAb yzB3wPKEI9pOzHn66aeZijIFpsfBV4Y8IQ7rEV6ojZGLJHKlx+PhcKYPVLhv ja0tcPrChQs0FGFUy1dMNJJyWMbgzKARRq9RD115f26jGE0QLybtbW/L/fAd 0jQpA34jtSnEmxRXVocHybmxULCxqhizWxrrO9tMR4n3DuxHIii/eTkor73L bsysiSqQw4x3iqw9PjQAaxVcfr/o2nmgYjkepzZFjCBezt5tl8R0tBrI6Yba iuX4gnuwt1OmL9AIdNzcWO+0tjqaG411lZwFNiblHVESjVTlXiu/dQU2TkpR cdlYU6HcWSeWJ25vaUrKv4HO+6fhT/IjjZrzHxIvQG4zNiC132nb2tqkEvKy QrxgQ3n2VQ7ELJH5uXgsAjMsLkRDc7MDnfY7h4vY7s74vBXZV7Sl+eA0NNvr sIKFrfo6HJ5TUKd7oDcWmm+oKHKaTdOT49gK306qiDeBEoMOJeTx4EzAaqiP R6ND3U6XPAuA69oaNCAuTOgbH6Xt7c0NcKnQeahkFyWT5dmXtWUF84Hp0YEe 2oUSIGS/dU4bsxiwB1iV1uR1j/Q6LCof2Kc79gTDiq5LYvAc6Wqw06YQr7g2 CLPRX76JMVlMI8YBzmEztRiQCVdBzEIkxOfh2VmmXSKEcgpOPT7Uj5FlMbcn R4dhKuoheDC7UYuxNGmLrl0ARIOzfhh+MR5DmPBeDhdimCNjUtxbqsGgx2KH EwGUTE0wm9CXy2bp6+ZwySz6OnwxsbIE5Y67BiLzM8wUmJsg2y9dsW9MHiHe CExYW3jL2WqkF3BITI2VlFWAATa7sRG1uDQi8WGmfsoNSwfXeImQYUNteeWt q6RpqSMMWpI1UzNMx3nFlG13Z3e0v3tsqB+zjLkGcL++dgswrL6rgWkXQRJv xLv6HFYoFH+jIXivq6cDaBSq6L5+px0l9A4tgn7VNxJIzum0AfB0bqellUro U3NDHf3CxI2aBc9TGDX25kZCBH3UbTMzJA+Jd2SwpiC7oaq429pKT0lO29Mh zXYPlnfkWPoFjLQ3NzD9YT7onxq/c3TJY+ESfR02lDOXYXZDDfylj8Zd/Z4R F12mXIJmBybFTLX25At/e/Ljb0IMVRGxlcxLyhA/Gt478RIegzPTNBCpdCJT NlpdkXOVAIWniQgjwdhCjBFUeOV9qccXYpU510W/KMQL9ZF6UAUl0kZyN0wL 3dnt9scffxzCJNSTo0FBki9xnjxO1iB9lJWVvffee4RK9TVeGkhqo2lUxVF/ /vOfh4eHyYAki6amJj4EYmksjA0MwJwkPvFj5fnz50mLJHcqIRmRociMnOX6 9evkcSD8ypUrEObU1BTphmQq3PUXv/iFTqdDA9n/Rz/6EcAMUaAZJGAH9uek aKClADyfcBawgQYWFRVRD2enEvIsp4OEf/CDH1RUVIDTZEz4IakiXpLmT3/6 07BcSHlkxu7ubtql3gfircy9RhRaWV5kcs1cEu6dm/bhaVfe/Au+ysBnTOEV TH8aqkpWl5aYnBJz2iWvs0HCRD9xD2GGeO+9nPYar5TZVeW+bzhXiBcew3Xx z3/8x3/EM3FaRnRDQwNAVVtbC5Lx93Of+xwjiI38/Hw+YSIGBgOEjBdxJVO5 fVe5xotD4s+wHCMFiIVsxXvA4D2tVovLQWWPPvooLs2Is1qtCGAssCeuywhi eNJShXhXlxe7LI2tutLCK2/EwvPM+kkoNmOtoSafyLC1dZu/ULGm6CqBhX+O lnroF+6d9U0oxAuiLMaixNW8S+f6nVZhBzXxMq5FW1CIfmIIzInliRggKzDJ 8GG8+/1+Nq5du6ZMXQXxjo+PM/Q4ln0YxYwvZppUjnkZ0eI9NoQCRj0bNJ+N trY2LEBc+od/+IfS0lJqmJ+f50SEJs6LrYgYnItqCQX8BWKJNvylp9BGd3A4 8YrT0Wvt7e2ALi1lA9YNBALgN8zMuQggdF9hYSFG/sIXvsD85f7cRjGaIF5M Cqx2WVryL7471N1xe2Oj02Lq72zf3dmJhoOJ5SU+rMrLikXCq0uLkFtofla6 TugabK4/JF5pY2NjxjdVU3iTlL20GG+SflTVUpt0iXhp0T3U11hZ0qqrIV2O 9HVzLJ9rSvIA2j35njRBvJKYaLTT0px/6V3yGsAzMeJythqGe7ti4dBiLNJY WTzr9zJDJ6k1VBSGpR+di2LyyrkqJesB32RNwc3KnGv0bDwSQrZMmKvEOmZN k+5hsERcsSTXk7DY4KRq4qX5VA6flN64SKpFp8NsBH6oB1MQP0m4QGx7cxNU APS2aGsEvO3ubCtAJV0hX1tlh6rcLOiOBE1mBAWbtdVEaSoZ7utCAHpMdRWg MviBcboszUkV8QolADlgBsC0mxrGhwccrZIYGIlKWrU1YAk1h+YCkfnZlvqa +MHPH0eUJCQllblZuvKCsaEBSyNK3MiWlPglJY6WRnYQc0kMDmgpoUmhOyGG c2EWZJPQHc1NIJZklnAIMVRItW0NdTBbWBaDxmBgGoVqMTAPtICrGGrK6aPA pIfpA8EikViZ80s/soOpnuEhMPj2+pqLmbqlGaofc/WvS5eID8WEZKzFMiAZ MxQQi6kQeugjepM5F9Y262tBYnzPz1nqq8EQlZK9fSU51/SVRZAkLofUVl3t 6soSNUBocOzE6GCzpgowY8LCJz12c/Io8UKnsVBofS2B3Vy9Xdjfcki8dzBF c301tmJCt766OjU+QneLO2wV4qUt8DAHQuDlOVdB2abq0g6LCdmg5vTEmMgd BEY0cBaYaus2Ng/6pzzSnSEq4pXg02FZiITJ+zgJ/2hUh6UZMuyyNov7QzbW 15i0UjkOg3EASEQcg8wemfahBeqBlqFoOpdKQIVuW6sgXtRCFEPdDsGuE/Lv Dmri7XXa2JNJBPw865tCm0K8KDdKxzqJM67eDn15YXn2FXh+n+1VYnDRnva2 8eFB79jooCyGSnCYwS7ESJgNn0uWXJNecIwndFnNa4mVzdu3d+XfxIUY+QL4 YeYVF2SSpyReOkVTnENvkobYZigR5Tg78x1hWKoluNXk3+ixt9G9kBXOGZzx J1XEC1jCcqRICPDFF18Ul0Hy8vL41u12X758GVglO/OV+KE/OzubxEG+QAkJ BYA8dh+vuH/vpZdeIq+R9DkWiiZnies5ZGTSGcBJbf/xH/8BTvM5Seovf/kL mWhoSJoB4clscywsAe6SnlDS2toqeJusqtxER0riXJAtYCxyGfXwrbhWzN9g MPjCCy/ADGxj9q6uLsRzCDReXV1NjkYwOZrMSxMwAony9ddfxwjiys8hzSYS QhL5kf2fe+45lAu1yj50cUNlIaGVQI0n1DK9qizGFZ1txsWFBZtBFwvNM9bI Gr6J8aEuB07u6u1kFkz+mp70NFaXGOsydzWcuny6dzXQ+zgPLocv4R54As6G h4t7ZpgW4WmMeoYP0ytxIJ42MjKi1+vFNlNCcc/8sft4ITS+YiycO3eurq4O usO3gS6IC1RmeAJ7VM7OfX19DDEIjbHJh3g42wpMqp9cAwBG+p2bt9c72xoj wRl9+U1Dbb7dpInM+1s0JQ2VOZ6RPiTFQrMjfR0B3zgfxiLzCvESsPDYkhsX GyuKyFxKc5QxQtsRjJ2JIWjACGNjY0xCGS/8l4BAwysrK49ZUrmPlzgAqGOu +vp6Buxrr73GUKX5tLekpAQrYQFqIJiIbSYR1IklOfzDDz/EYuL+W6iVQ4jY nAvcxQIcjsU4kMgDh6MHbaAsvUYEYyzzl20iALxNiObsjHdaQdhRziVOTWNB ZfZMxXkOr/HKv/sXZ31oqCldWVoKzwUI6ca6SvCStDLjmyTNiZtpARj3YF9d UXZvuwWuI4sp9/FK7r0QJU0XXH1/ctTFV8R5Q02Zo8VAeqorymmqKokE54BV cgQVsgMnhrIIUOr7eBEz2Okovn6BNEqihKCYuZOvE6vLwF54fgYaqSu6BQOT 8Yf7umuLbpHc92FAURKNNFYVCyWQGORWk5flHuidn5kmXQK3tEVfUTQ77UXz QKdje2tLvmC4tCbTlOBM6AUMKM26aDXoSLhejxuzAGCR0Bw5GiVjrgFtWV63 1YwfohkTgawcBd6oL2bOB/z1pXkAlXxZewE8a6opZZskSD3SD+J1FSZNFcaR 6L2y2NxQp9wmuq8ksQrzlGZ9aDPpV1eWp9wj2tI8tAFUsAqw7R7sqS/JG5Bu FFlFA0r4XAEq5WLmfGBaU5pXhRLvxFI81qbX0ONsYxYoLh4JG+vKSdaR4Dy9 0yjf0ytuF0mq6E66A6HNVJJ1EVNgMalzi3Pamxs4CuyhFcxEJDFd7WAAkmqL EOMUlRwR4/cy36nKvcbcBPPSxbrS/MmxYQkyezugNRwArkCAdE9vVRGJCaI+ JoZU1WE2Eg2YNeAt0u/vJXnwDx41KF2qnRvp65LFONZWViAQfI/ZzVElO7hB fXFuVd51XH1xIQYeG2rL2J6XlHRJSmrKmutrSJ3QNem1rbEewkweve4tJk04 W8A7CQTyCfAsmBC2hFFxWuwAzDP5ommwn2ITQby4PmyJj2H5oa72qTFp26Sp GBvqY8JFv4jaUIv/MFuZnhjvsZnZR7rjffO2mnhxLYYJ+/u9HjqdQeQdd+Ns DKXWhlo+YR9QGU+rLbzJzAKpOID6Pt6k/BuNb9w9P+OnT/2T42H55gEIlubL J+3gnFIe6euiWkY3YxlYPXYfb3A2QKOwALMVJDEl5BOUs490bK90LO0dH+6n +bg9DLy8uCAsc0TM+joDkHbB5+wTmptlBAHAB2IkC0C0eKO+ohC3wYtmp6ew 4aZ0U0Oa39Vw3+VTfzsZSEmCTpeAB1Qybyc7++XTJd40VqhU+6m/nUx5gHfv 4Fl+5ck1UjlssCg/3aPsk3k72WmL+sk1kktoLrAUX7iPetRvSNjZ3poav5/n 6dRPrgEhwZmA8rv831iJ+nkx0mhwdiZxH9579FUAG4k1CCpFJSGUrKSqZD2R uA8lyaMPi4E6odnAxz3KdBoxqzMH4JeKGEBI+ZX8/pSsJVZmT68k83ayk8Wk mOzO7NvJ7rt86sQr7oBNl4AHVDLEe/ZLhnhPKJn38Z7Nknkf713L2XkL7tlR ksy8j/fByEhmiPfBizlTxJveNdceyhUolKfSUtznVOVhNeYDKvdirgdh0vSi qbra9K65li7iPWHNtRT9Py3LdX22SlqWOUumabIgiDdFMWlRki6MIVOfEaBK XYkiJi1rrp0FMWnsoLSsuZYu4k0dMqnkb7DM2d9SzIZcThBzL2uuxePxzZQL leByqdcjCqqi0Wi6ajs7hU6PxWKp73OqgjHTW+HDXe7FXGk3qRiGYhZ8ZqsV wXxhYSHFeghZVCIC4Md9e9+VC5FpiWmfoSKMJtbxvO8iLpSlbjpkMDpSEZMu JcITUjcLLEQmfTiUKGKo7eEQk8YOStEm9C9KmO6lUsmm/OsGlaQohgBLJalT mRCTYiV/MzFEHp/PdwLxso94FiPFQiWE3NTrEQXvDQaD6artjJQluYRCoRT3 uY/zPnzGfHDlXsyVdpOKTl9cXExjnWmvltpICqmHC/RQycepEq9iuO/KhchI JHLfNXwWizApbU+lEg4nhqduOtGDqYhJlxLhrqmbhTQajUYfDiWKmBQrOTti 0thBqdSQLiWUtFTCMKSS1KnsTImJyuWEHcjLXq/35Gu8zEpSvNSclN+HkN67 GtL7y/4ZKdIrdD7pR+F72edU5WE15gMq92KuB2HSE25tTbHa9N7VkPpvzVjv 5LsaUvR/cc9kKjV85oowaep3NaSlf9Nyi0ValEhrZ8gvE0ilEvGjeYo/VZ8d JYqYtNzVcBbEpLGD0nJXw/r6eiqVJNN3I4H4TSF1MZSzIyb1uxoejifXPhMl 8+Ta2S+ZJ9dOKJkn185myTy5dtdydp4XOztKkpkn1x6MjGTmybUHL+ZMPbmW Id5PLA838T4cUJ0h3hNKhnjPZskQ713L2eHMs6MkmSHeByMjmSHeBy8mvcQ7 6R5urCpprq9aWTp8feLKYjwe219fjx7tdVj0FYVi4b9YJCTWRkyqiFesLuTz +bKzs99+++3i4mJ8qaSk5I033igvL6cTtVot25cuXRIL7zY0NLz00kv9/f18 df369StXrqjXXCMtajQaxQ+px2q1ovnChQuc5bXXXqusrMzKyuJck5OT7733 Hvt0dHRwdkU/h1gs0gKLFRUVdrudjcLCwsHBQYfDweFvvfVWd3d3WVkZkqiK 8yL4gw8+4LzDw8N8yD5ifQo+VN75Lwp7IkbUbDAYxNoBgUDgzTffZOfW1lZl TyzDqdlBeQ+DWBAK+3AKlHCg8lOIQrx0ayQkLSZu1FR6x0d62/cXpVpdXppy D09PerwHq2SeXBQ8o1FI7erqAgkwAjbHMso9LeyA3ZzO/ReMoxCTLix88ls9 pXdTB4MvvvhiS4u8eOj6Op1L027evNnU1BSNRj+xhjNV7qhWEEY8nvb666/r 9XqbzTY3N3dsn6S8nI3VoDPWlo8M9Ax2OcTLJHe2t8ZcA9HQPJ/c43kF8eIh OFV+fj5ugAvRO5wXV7969So7uFwuNtgHd5qfn1fEMMYRidlxP4bVu+++i2yR AgTxikPYh8GC8pGRkVdffZXd8Fuaxiioqqri7LFY7Nq1a/F4nH6/ePEiH/b1 9XEUo1KsF6Mm3r293dCsf6Rv32G2tzb7neZWXVmX1bCyvDDUbfNPuhMrSzNT 48daqibenZ1tn8cdmJpUgpjyrgYiZFFR0blz5xCJZtzp/Pnz9AgiaR12EA+J 5OTk0Cgq1Ol0YjUKhXjZmUNoCK5OnTSNluKl1EadOGp9fT2uy0jE7QkUfIsN aSmHcAoiyf040KdR1MS7s709NT4665uSfu3dWPeMupTV7fnKPdQrLWbqsGze 3hju6TLWVTpbDWuJlYS83IOaM/lwqNu5tbm5vbXl6ukgL4h1fpPye1O77Waz vm4xFr29seFobWIIrB2801VNvJKYsZHZaS8fxqPhFm21vODFjtgtNOM3aaqo fHd3Z3py3Fhb4RkZ3D+FWskqSjpQcmdvLxYNj/b3CG+hhkiQCFljM+pj4WBk frZZW2U36v1TE1ubt2mgmjM31tdQIq0osbe3urI8OTqsrGW2vpbod9oNteXj rgFp1a1YxOMaEMteizUrFaC6I696PDbUj03WE6vEZKtBKxaJS8qRuaPN6Ggx sLEUj6Gq29rKeZNHiVdS4h6mU/hQWmRNVzvS3yW+Im74JsZatTUTI9LCZ+Ou wVZ9rX9yfwQdVbK3EJOVbG+tSUosNoNuIbqvZGV5scNsdLQKJVGhRFnIW013 8Nmk24UZ9ySzLE2ODsUPXo69sZYY6GynU0YHeleXFrttrc2aqslRF6cLzQaO iNk7FMOIxk9gieRBH4VnZ3Aeu6lxgXw27TPWVXS2mZbiC7FwiOB5VExiYnQ4 GprDbfAZs66GU4vVNzC4d3y0RVeLAHqWc2EZsSC1WolwM76lBtym295mN+mV BYL/P3tn/hxJcSX+v+T7y0bsEV5H7GXHemMjdmPt9frCJzZgMDbGYIxtwBgw xsZgYw6bAea+NBrd992to3XfaqlbV+u+j+6W+lTrPmck9feT9aRUSTCzA9Is A1bGRE+rOivr5cuX+T6vKisTmMHa0czSIu0TQmOYMQZs1gkijQ70rS4vUoWw fxpjcI/tW/RYVVbZQLv8uba6PDE8ODU5HjURr7LMaa/L2LsZXeEFbsLSaiCd 8kwOD+qFiA3IXOXc4b5uBQB5mbRga2ON7Pb17oQBd7U2q+7T45oJ+Ae7OyhQ QyZ6bqmtKMvNrCzMbVR72HWv3mDexfTkeE1xQVOlLexXu7/RR4z3AtVEgo2N 9eHePWHamupuJAxK7mhuoF/bq8oC0zsjhhYGC0HICksOkkwbJdCv/VNuaSO6 Rk9bMxaCehESy8H4qZ0u/AiJd2Vp6crbr9I6socLbcQghsturCyJO/WGd0It 6cyF+EKGxLMncHBUPPn827pYId7h4eH777+fEY9PHA2fgNNjjz2GH/nhD3/Y 2dn53HPP4Zvy8/MfeuihgYGBRx99FK/6s5/9DM/729/+lszmPdeoIGfJvS8u 8eUvf/mRRx7BOHFSjz/+eGJiIhSKU7t8+TLc+Nd//dcVFRVgs6ZNxPjSl77E KXz/8Y9//PWvf93r9f7t3/4t4AeU4gHb2toCgQAZYIkf/OAHCJmTk/Piiy/i 9L/73e/yK16vtbW1q6vrX/7lX/D7Wm+U/MUvfhHh+f7Tn/4UwdDz888/D648 8cQTUOWTTz5JHaMGtMPGkC3aM+8yzEXJjIrKysqefvppzZbmXYYzrpyjm3sn xvtdbRmx52pLLD0dTiyKiMPV2tzZXE+3bayyMTDexAY0nsmWzQ8++GB/f/8n P/lJlEBDjI6OCuRTWb6jQFCfmtIcv/jFL5566ilah4rEx8fzSbugCrKJnMDD qVOnaEQ+v/Od78iezuiTS8iWUpzCQThENn3G5uETGgvMgDHQf2xsLI2LzVCC bP7Fr3DIh7i0slldNCgghLrQxssvv6y3gtV5rl9bt2Ykddjr6doMztb0BAYE R33VyvKyy9EIyFVYc4z9nqoY/a7f9F7r/O4uw6ji05/+NAYJlGIb2Ak6R2+Y UF5e3j/+4z/CruShXeREdIXB//rXv5btDulfubm5qF26+fzuLsOcQn8BFIE6 ynnppZekjbgKQSVQTR2JUP7jP/6DLkDtJAbESGDOmpoaGosLaeKl7mG/NzP2 bWv6ZRFjZXnRmnqxv8sRCfo9E8OleQnVhRmtDWUB78GBUROv2iDMaWcwsaQl 4Ob0r3qXYfqF7AgMdYOjmBOUjkhUAYO8YiTEGxoaQmBGD0woatplGMtkYGFk YAyRKJvwFpOmmrQsGv7CF76AKiiEkn/5y18SeDJA0RG4IvYpO5gflV3d1rS3 59rGRmdzAyotzEgMBwOQTOqFk73tTslmbE7hGR/sy02KgSiKs5M77Q0A20ww UF2YFzXtdDYXDualXE258A62zSkFKXFwUWFG0qYK26+PDfYXZyYPdHeU5mb0 u9oxcswbd6CFEeJFmHZ7feKZE4WZSTg14JA/4WTBWvAG9u7vhMDThvu7izIS h/u6rOmJczNhsySz4WBucqySpKUR5wixpMecldtfil3n5xghm2vK62yFQz2d RVnJkEbQP82FzLsMwxKciLeqtObCMGMDfVlXL4zu3jEwfK6H04uzU4LTU9Bv 1tWLC3OR2ZlwX2fr3p5rW5uUmR1/OTP2fE+HAzWW5qb3tDuABKgMDGMEAO26 nc1qJ1ynvc5mbW2ohQ2iJuIFw5pEksJc79hoHfDQWFtrs7hH1aZ7wAkl0CkI Dbg0rp+hvrwgS7arMO/+RvNlx1/Kunqexh0TSdocOAg0s7662tvRSqNQTnVx fpfDXltqba2vRidS371tzhYXGittyefehrqpLIxH1YhAtVp83oletQF0ctDn Vdsot7UUZaXggGgjszCeidHs+ItZsecJGWgRSivOTt2zzLkIqoajaIL5uQgw j8Zg6cX5WVjKLExDRQnC8KtnfATttdnrakossrEFEQ166G5tQT9KM3lKMxUF WbKp6J4k4yNZcRez4y70dTpH+nvL8jKUWmwWAgTZbZloArapKVEC1JeqQIAv Zp3QBMg/2NOJw0VmwjGaEm07aispfGlRbfdmSVVbBxotsgX40TsIB6L791zD MC796fe97Q76SMqlUxB+p70eY5iPhNFwY0UxRigeAcwjHEBUvQ/dzj3ezU0j hirHVAiRGsqLuRC92+edJHaYj8zwCapFjT3B0U9Xq508LbWV9upSAl4NmUCr Z2wYWIV7iRzlriY2A90RsSr09/vAOcSfn41Me8ZhUXLyD4Ohvx8Qpqowd2RH mPjOlgaIkUvPzc5A2rLrDb1+biZES5GTgUKPPCIMraxiscrSwJSHlkW9WClj CMJEjZ1/EQZgBj6xGaWW/EwdmUaPlHgRyZabDmJhY9J5US8dCntARYvzeyO/ NS2hIDWO0QZXbkmN18UK8cJy+BRK++pXv4pbAQv7+vqgTZiKz1Ao9Jvf/AZe Jeezzz6LD8ITyXe+4Hl1N9HEixMX4gWE3nrrLZyR3HTFA7a0qDvMSUlJuHgw 4E9/+pNsCSq3XkkUKKeMjY1xHHnuvvvuX/3qV7i506dP33fffXBCfX29iMeF wuEw8IBzB3QhAV1leCA9PR2/qW/LUwIUB9yOj4+/8cYbJ06ceNVIiMGfyI/r RA+iYa4CWkR3aZZfwRUO6kZ85plnYGw9HMlTXe/ESFFmihzEINNjzmEYjHL4 i0qLCn7pZflJsYxpSefewupuZAMazxCeSqGie+65h6tnZ2cDEqWlpQBqSUkJ dIEq0APqompwAvoEBlDFt7/9bTIgZGNjI9qjynKP+uc//zksxImXLl0CPPSN Nfif8gEnVAEVEztwFSIU6gi5Pfzww6+99hoq5fsLL7wAaFEy5dBqMDY/IY+0 7IeS9Fq7VASZ5SCqQzANmToP/ZehXg4yfBVmJrc1VOPf+zrw4ynusREGT1w8 PYieRfPd5LqaeGNiYmgF+A0LJ/QggosaE/KBN2APS6MJMGZ41e/3u91ugrjq 6mrwDKalLcTqzMUqstzYwOCfMRItS3+56667uARMi0lQJlaB/rEHqJjyGfwR g7YDBbETMR4aXRPvwuxMSXZce1NVhSUFBIoag1V9aQ4ATHg/PxuuKc6oKkyv Kc5yj/Zv7H+YpYl3Y20NTEo48ybjsH4IbiZeDIzq80m4gQlNT08jG9UkoiQ4 ZSQhHIDwOUiYFmukqIl4IWFCPGIoYlKAFnXR16g7R1Asgw8lYLfomSCO3o3l 04Xh3gceeIDj2P8RztS6rUkTL63AAA7x4nA3FXOudzY3yiM5SRvra3AFYLM4 O9tYYctJvAzrusdHQKboHmduBaa8iWfeLMpIwovhemimlaXFosxk3DnG1NXa 3NZUC7IS4oFMMAwYactJ08II8SIMxo8wCLC8MF+al4GbJngHHqLGLl0USJ6W 2qqmSuXaYBJQhDhxT5KtLd+UB2YuykySfajxRGW5GWJyUWNPN7wqkANruUeH cxIuwUL9XW2N5SVArOZMXDlXpw+O9HXJfTxIftT0jAxVjQ70VVhygIdIKIjT 51Pdbi3K00CFPkcGehlsqZS60+tqRwl46qqifLTKUNDRXM+wzFBcnJXcXF0+ MTKIT28wAoE9SSIz+NlMJBnoJR6pLbVEQiGcvjwt5UhNcf7C3GxLTRk6RwyY pKG8iLpETcRLaVCHkqS4gIigr6MVOEESmnJjY31pUdVuoEtRBLBqrymbHB1E q1DKbmV36A5hSnLSMmPPoQpBmvamOk28UeN+HeRMy1IskhBQ0EAHtjxGdcO9 3QgDqa4sLXHc73Ejs8YSJW1ft4QYajvptpbMq+dle1yzMKCXLTsVywTGlGZK LLORMPjRZ1gvGqB85CFeoHBMF5MDWYP+qT1JriGJK/Hc25zLr33tzk61PfE0 7UVPoNEJLga6O4PGBtBwF+Pz5MggRUX33+NtqatEk6V5mRUF2XSWXmP/6/L8 TJxvS005RtLR3KiViQEP9bgkmtDEy9g2NtCbm3QF3QJL0CyKFdjGzmk1RKLj gItSCERNP9VO3DyrAdW5HI0oB+Hx9VyXcykNA8Bshnq7dGPR4uAu10UY4Nw8 kUBtEt3SSD+lcWtLrJTTWFmClvq72od7XBCm3gFwdiaE6WJRfa5Wurlxi3dv VgMxKVXAbFoba3aFyeNyhMMIM7wrDAMI4w9aol/s9tMdYYBGrksA21xbQZSK ZjjRUVepOyPxEYQPLdNnqQWhNPG4rqMmXnmzVdZnwF9Ip4i+H+LFbhnBlhYW ClKuEpUwEtIHs+MuEk9B+7sV2abXY/ApF0/ROxAeKtbFim7hBBwH8sjN2LS0 tFdeeQWSwRlBPsgGdgJLCPa9730PjsJhUSzeHGoCgeQqZuJ99NFHpS64LUqm ECCWPykWAIvuEm9tbS3OGgf9yU9+Uh5HUg7EwimQLQ4OYsHXnz17NiMjA3zF bwK38tAKUbm0iMdBMkPIeEB+paUAPBDuxRdf/K//+i+ZF8EpP/nJT0CLe++9 FzyG64BwfCuOkkvgNPG51BcskaGbDFw0aqJZPCyIIm8dejwe3LGet7xzj3d7 Oxz0M0TjX9T3UKAwPYkeXZaf0dtBoJqHEyECTblwkhBeOZQbbxOpiZe2fuml l6jC+fPnU4wkxItn5yewgbrDRW1tbej2d7/7HVWDgYeHh0EC9IBW0QMkIAbM n2SjCjRufHy8VDBq3OMFUTBLjBBVQE0UJdhfWFhIc6BqcJdGpOLJycmcS/Wj xnSI+++/n0a0Wq1Q3I2qc7uTpllMGsOg9TkCa1HZA8RrPDVeZYiWIFS8KtGu s76aMcSWA/EOE00XJF9tLC/u6XDeJCqJmogXxoNgudznPvc5aBO9YYcAHvaG nRNqwaL/9m//1traSk40TGvSjx566CEai95H+CazL2SM0sSLwWOH9CaiCQpB 7dLL4F4MftBIX/nKV+iPRIUAJM2EPXBFqJimhIexTCFeSp4J+UoyrxZlXok/ +XLQ71lZUt4c/OBLQcrF+UiIsc5RW1KWl1ien9zXsW96gGlWwzYDjr2qNP7U nwj29a+aeOm/DCAjIyNET5gKEsKoRGFlZWVU9g9GorLUhUFAPxfQxEt+Bhlq QVxATk5BeAwPOywuLv785z8P3NLEaJhYjE+QWJ4fEZQR9HHK7Vg943akvVkN 29uLC/O46bjTf8JtARgKw4xpAPAkA4ga51eWGeHhCs4CO/NT43A6OOKoaS4B 2abGx9KvnMtNuAxSVlizGWEsafGcy8iPo4RRgWFrWiLUhxP0eSbKCrK0MDuz Ggxh6suL40//uavVDkX4vB7koXfACYtzsxAvvaa+tJAjRIUri4uMbzJ3wiyJ d3w0PeZMfnIs37l6aU664fI21lZXGaCpI14bNFW3N9fU7U2CTXyW+R6vehId 9Fdac9MunabignaigfXVFTQDtIA08kCf7lxfVgxjgNB1pYXmh+YAwFCvKz3m LNICGPbqsuCUt9Kas7a2ChASuLXb63zuiZLstLbGmv7ONnVvs2oHqLQkDOyV lpz0K2c7DXCaco8DM4TDG6urcB08A6SpeQgN1bU2K4NGdVGBjDD7JVlV9yEv ny3JSeXc5prygFkSRxN6RgPAqpLE1T4y0ENHkwbSdKeECfjLC7LSL58B71FL W0PN+PAgalHWcv0aPVpuO1OpTWNDcCxnbiakzj0gTHcnuqVeEILPM2nc8FdY sm60EXpDXSCremffmCzRXFMmhWhhtpQwvvL8rIyYc52OxoayYozKUVc12ONC GP+UmyYmA5gEbqGZkN+n5tXMhPZJsroC06ZdPk0EB7MRW6FSCAoBYGCu2+lo 8k6MluakORtqkBlIQ3VmnWBXIC7hHiBXmJ5ozUgcG+rLvHK+t63F5WyGeHva ndOT44RUokyj7h0d9h0w2CHejY3xoT6ExBq72poRRmFkZ2vIP1WYkdhSUzEx PNDZ0jQ1OSaFEBkp4g3uv8drEC8M32GvwwAYIbFS/kGMzsaa4T4X/U6Il5ai ielHPq9725gUGt0/dRagbW+s5VyIF64bHxqAoqsK8wZcbShBE68R6xW7HHYi ZcN9bEf3z+MdUnhcr4Rpa9HCtDbUEPJgcpp4qRddw2OaDWK+x6usvbNt8/o1 FILYWB3tMtrfI0MHzEW8g63Sd3Cg/KQnpURNxEt7iaolIaSM/+9rVgODG6E0 IQnNkXn1QmFGkjUtHsAGq0SxGAM9KD/5Kp4dMyYCjTnxisQpmnghqK9//etD Q0N4XtwTmNrV1YWr5Vd+4gv4BBFxHLeLkODQE088gRPHWT/22GNQInUxz+PF lT9nJFBZasQXqgyPdXR08OXpp5/GawNyuGYKvOuuu4RMgsEghcspfMHTCQkU FRXh7xISEvBruDlQGam4EAfhB4gOFpWnwE8ZicuRmROhWQ5KyaCjspBIhJLP nDkD5uGFgWRQ4Z577nn22Wc5LrdtZX4sxZrn8XI5kBiHDuzBeOTni9zN07Ma GG1aaiqzEy4x1BO7Ec/isPBlo/3dzTUVRFV9ne3E8vQghoKb7EVuvscr06e5 REFBAX4fHaI3Yg2sCP3AQnAORAFunThxAlilRQgiaJ2oMa+SltXUJ7CE5FQE qJAHyqRwOEwTcznAQ+6WozQu/fbbb9fU1KAiasqRuLi4yclJxOAgF+UgmQEb CiQ2AVFuVJ3bnbS6aKyKigqIiFjg5MmTIBAmjansPGw18qgbiT0uFcinJdSW FBA4z0ciOPcBV0d9WaHPPcngNjbYW5ASD1EEpjw3ua4QL4ZBOAbNEnN94xvf 8Pl8KPOZZ56hv3AQPWNmoCA/ydySqDGYOBwOrChqGI/NZkNmLFmsSIiXBDE6 nU4Ui6r5TnBB80HUNARDBKMH9k+XZECAnwl86FbU2mKxPPjgg2gAqozun8er nn1HQs3VRWsry7W27HBgurowvTAzpqEsHzIOBaac9WVD3a0lWVdHB7rMNd2b 1bCx0dHSgKPEyPUcUU28XAgx9N1aBg0kx1y7u7sxS+yEgYW+jGaIRnt7ezEq 6hU1ES/1ogRRC9ojSqUvY11YMnEc3Zxuy4BD76Y1nzYSls+AQBBBCZwrE5Pu /GSa1bDe1lSXevFkTmIMfMLgTNSM18bd49knR4cIk/NTrpZkpeC2qosLCpLj Kizq0TBuXc/jVVNWAj7G/8RzJwjfFuZmS7JS81Niwbmw31dXZp2PzFBIfkoc 6AsR5cZfwmtMGs/lo/tmNay3NtSmXjqVlxiDF4MVs+IuFmcl4VPs1eW4Rbxk VvylsrwMwLipslTdcC7O57yo6W4zYAN4KEkaqsEnXGHC6Tf7XW2e8RE6Fx48 Lym2OCt5oKtjuK87LynGlp06MTKInLDQvrkElaVIgv8KBaZxpmBVdVGef9rj rK8Z6unMSYgBqvFoyImTTbl4sqOpbmlxAWg03+OFTBiN02JOd7e2BKcVvfAP QEKY1rpqn3cyL+kKuh0d6MNZZ8df5HIy3VFLQplNFSUpl05BQTQQsUZ23MWa onxaigp6JsYcdZU4YsIEtAQy5SVfgd43999WVZKMjShJLp/paVOSWNMTCjMT ezucHG+tr552I0kMWM7gMzliSJKbDjRKA5nvZ1LllIunSvPSZwJ+fApKqCnO B54d9VUTw/01JRauUmuzTLvHaSZLajxDHJdj0DML4x4bohUQBgGwlqrC3IzY czAMx+X2nahloLujr6PNECwNexvt7yWs2CdMeTGaL8vLDBmtkB1/CUgGWZ31 VTQEBpybEIMHnAn5a4oKEAwht0zsjeW4R5HkSrohSWDag8BFGUl9nW0EL3Dy tHsiN1GpBeQD7FELFZdZ7ubpxH7PJLEYmXG79Bdq1FBexFkIAH6DRlxCbgNi 6jR6flKsJS2BDmWe1aDuTzrVOw4EIOAf4RUC23LSe9pbaDLMgxBALk3Uaa8p z4w9393WfM14nG0m3smRQchwPhIWXuUfpyMJGqaHyg15ysEAUi+d5EKEXa0N 1ajLTLxcorezFa7zToyBuJ6xYT5BeqpPq1EXIllQk+Ao+cJJTBqzJCQEaw/c 450YHqTrEerSZQiR9oSJOQc6ciRqcAtA29vpNM/iM9/jJQCfMHJiGPTZxbm5 AVc7CokKclfachIu0c3pOFQnM/ZCT7vj2u473Uf75hqi0rjyWgGBM1oSnTPO 6LvTfCGPfCe6QSFyA1YTr+x5JFMH8Vw7E/KvXxch+VWcpr55ot7PCga1MDKd 1bxWg5RD0s895VyJEKMGiZGMW0yb0Z0wYSfG0bd9xOnr9x3k5q3eqEUXhT6X jCR/gqyIoX+NGs70JiVLNRHmPZc4Ns/jlSQLrUd3QULOOpAHa5P7t4gc3X2T Qj75P2oYs34l4T2T+TUrXRetBPmU68pBWkFaZNtYdRadyFkwGGhhfoGU45JT 61ySbikpf+cdFuNTHkPIRaUiUhfZhEuu+OFOntzevw4DUlFHAWB5jCICm/Pg 2ReNO5+GEtR/uo2k1egpqhFv+rqrXqtBlCZfRB6CQXmxUTeWFK7P1cclYUjE HeZ7vOZi5ZavvPalGze6260kSS+WX8mpX6t891oNO6LuDBqr+ukYOuEyxltC BxdeML+5Rp6Rvm79iDO6f60GPW5Ejb6p3+hENhm1ZKCQZyUIqXuT/Co9TpdM Tze/R6nVK5eQcUYEMwPGTZrszknmN9fQ/FBfl0QQtAujN6O07nEEIwvzc/Jg emNtbXF+X+voO6scXJyflSmOUr6MQlqlfK7sRtk4C3k/S2fWb65tIEyPC4KS cxnNjBmDSjDpJitqldrr8iuX0MLsk2RuVxKYXG1EtSZvsSmT3tykhFVjAOSK lEBf05KY3xeD6od7u2eM22g08ZpyautGGZv0bbzzGu4MgzdAnUL0VJzt/S9G EQsM7E5PkgejUd0Bt7exZxFGhfzra+urq+8hyeLiUG+X3LblPFy4YgNjhNk2 CkKZklPuiGqd7Jdkk1hAvz9FCSLJ9ntJsm68x2dWi6Y7NGYIEzSrZdtQi5rF tL4Gostoo9p450ni9oF7vGQP+acJOkQABQbrO91f2mh510lJGwlOqGIN73BA mFnjTrtoZtN4UrDjLAzNbJk0IzchD0hCzDLY3SE1pUZimdu79k/j7qllbU8t B9Zq2N5xZzuDg1QBsXeadW1V+ztOQTNoWMrXazXsuoOonL5zaUOYHfe9O4bz BV2heaWx7b3bqjuT1d+dDKVRjeu7+Y1eqW6nq4OG/TLGH1geYZcZ9qUNY5av utAuFVA76aTKSWysCQ9oyLyBMNeM627sGuq2tGzUlMzCaOelGcbsztDtihG8 7Khlba+a0ePVyT5q6SO9OhlDyseyUQ6kW1HXUanUnP5iVyfb3j88bh2vTvb+ 09b+1ckMZ/pBljY6sCbYB3uBdGv/6mTb+6Oz/0tJDqwJtvWBJNl+1+JXH0CY O0eS6Lvo7qMuzFE10PHqZDcR5pDO7qiEORLildtWh0xyv+jw5UjC/CKRyFGV duckfDEtcvg87ythbChTYvbDpG3TzeGPcboVdR2VSs0FzhsbqR9VgeZi5aWz I0lIKK9eHibRu28iFb/Kg5UPXP5RjWkfoSQqZeg4ZDmM4WbVbe8+hXm/wmAk hxTmSCTRzxMPI4m6m228lbB36P0Lc+dIooXRD/U+6sIcYQMdvU4+UKIQNTXi cMJgbEvq8cdhqUyEOaSzO0JhZO/CG2XAL9+cePE7Pp8vcuhEIaFQ6PDlSJqZ mZmamjqq0u6cdCv1uh11/1gq8/alW1HXkat0enr6CHuQudhwOHxUpSEhBR6y ECyc4eJGUvHrIS+BkEcypn2E0s1VeuvpSFQnLXhIYY5EEmRAEuQ5TCGcHgwG /X7/x0MSEQbdfmyEOaoGOiqdBAKBwxRCkkIOLwyFUNRflDD0stHR0f+bWQ1H +Ex2e/d9+Y9Z0m+uHTLP+0ofV2XepnQr6rodKj3a6QfmYg+/FZdOSHhUsxpu JNXW7ptrHzjJwjWHKeEjl0Slh3wmGz2iCSFbxiO/QwpzJJIc1aPq9fX1O2RL r8NLooXZOtxD8ztHmCNsoMPrRN6AOEwh0aObSEAhRzKrQV6UuBOEWTXSTYTB dxzP471z0kd6Hu9fSDqex3uTdLzL8J2Zbh5E3Ho63mX43end00Q/0pJEj3cZ vj1iRI/n8d5+YY7fXPtopWPivfPTMfHeJB0T752Zjon3PdOdw5l3jiTRY+K9 PWJEj4n39gtztMQbCQUddVVdzmbzSibrxk1t/efYYH9zTbms7Lexvq6XFdLE 29fXl5OT4/f7a2trMzMzZWPW5ubmjIyMzs5OvrtcLo5XVlaKy+vv709KSgoE 1FIt1dXVFotl27QDBYriLN30sk4pHk22gqKc+vr68vJySqOEigq1RB4ZwuGw FphTZOXStrY2VCFHPB4PBzkdqYaGhhwOB18QjF/r6uoKCwvl9ZkMI8kCXFzi gK93Op1SMgUODqpVu6n7zMwMslGLycm9zVX5ye12UxczzVJabm4uMpCTEzXt mPNgai5nc4e9fiboH+7r3mn0leVpz2TQ5/V5bmnR2m3TArMogbrzBZm5bldX l154igy0Gs2h/0SMW1ydSbboku05qEhZWRn1Kikp4SqHB6T/42SmWalLSkpK b2/v8PCwbpftfQu+XRvo7mhrrPV53eODfWtG36GlvROjc7OR8aG+W7yufvOI C7W0tPCFtuAIlpOcnIxtc8Tr9WKffBkZGTErFoPPy8uz2Wzy5KigoADTMu8y LKdkZWXRKzGwqampLCO1t7djA3TYjg61ng+n06EYVWjQ4uLipqYmjIRfUYKs 66WJF1t2j/Q7G8q84zursFLx/s5ml6NusLt1eWl+dMDF99F+17WNdfQSCfk3 1tfCAbUgtpl41bsGocB8ZEbXRRMv12psbKRedC4qVVNTQ7fiC+JhWoik1gVa X0dgq9XKQQYK2ZJGEy+1ICemyLk4RL5T5enpac6y2+0yZFFHqlZVVUVPp8o+ n0+2w6YjUyAlM86gAYYIjlAUR1ZMu9KTkxZB1dvGInLk5BKomq5EEzA0cV20 TYvQrGRjGElNTUXncjptQd/nCDklG0JGIhGKRRiK4jhFcbyoqIi2oGrYBjJQ I4ThcugkYrzkq4l3a2szHAwszKmDQbXebPXYYN/ua6ebfq+3s6Wht925vLg4 PzvT3twQlPVIr6nxx8yZsvVD1FhbaWpyvLOlcUmvY3n9+vjwQJfTjqdQG131 dfV1tso6utH9xKuECfhlQcu1leVuZ/Pell7G/hSulkbvxNi2sZswwoR8O5tN v6ckxgYTjo7mei0JJfR1OLtbm/FEDIxD3Z0jfd2yzJeMt5ozr21sMIouGcuX oRCqM9DVEQr43KNDagH8gZ6lhfmR/h6Xo3F8uH/TWAhrqNdFLz4AVHhDWYIe 9zc5Mtjb2SrLgol4lDDY1UEzcfpgd8dof49e+3GfJAG/LMW2MBtBeNSrVUd3 QLHB6SnED0x5+VX2xYi+C+2UJLuOeGJ4gCbQa8TRSUb6u7Uk1JQKapwz0x3C hP0+Wc59Y2MdBtBLuxtV6KSBhnq6OIhC5+foxz5anAZ9lzArIgzHV5YXKVMW vKINAr4pCulpdUy5x0VL/ikPwlPmummXYUOYdcqXjdvmIuGe1hY5RTQTDvqB k5B/ijIpAc3MzoTeQy0rK7tqWRsfGujvbNOrd/JluLd7qMd17doGl+/vale7 kOw20M6uHNtbkZkwPpc+ohdijcpCZ8t7UG3oKrCye1F0gv2YiRdwGhvswS+4 x0a29EoUm5tru0vPyZ9zkRm9oa2SamXZWChPQSZmj1VTZZejqbfDCQCY92Iw J4SZGB7sbG5ELStLC+AB2tOQSS3oF52OJjTW19FKmRs3IM/ZsNodmMw0zUww EJjyGBtjqlkNSEVbYJkI03dTYVaWFkcHehEGs2EUkoNm4sXmsVWXwx4O+G4O 0rTg7Ex4xbTXwBESL8aQdO6tvs42oDfom1J9ucOJ3lsba/KSrszIni9bW+i/ p92RePYEPaW6KD/5/Nu6WKkOkHPXXXfhOO677z4G7XvvvRcEfeSRR3AoDzzw AM7r2WefPXv2rOwIDKb+6Ec/giieeeYZRvLHH38cR2begYIKkkFokM//+Z// +elPf4rtMf7fc889r776Kiz98ssv//nPf8bZ/b//9/9wJbJllUiFSHIK33/4 wx8iAGr/xCc+gTAnT5587bXXKGd8fPzhhx/Gfdx///3Q75UrV37+85+TjYMI FhcXh9OBOv7mb/5G1rfXJf/3f/83Ofn+6KOPfvOb38Tf/frXv4b6vve973Ei YstWuVSHEl544YWt3beYowaHPPXUU1BiWloamZ977rnI/l2GpUUKkmLtNeXt TXWt9dW0Qm+nE8pdnJulmVzOpg57A/6f0Sy46ybeM2k8w1QefPBBtEHr/MM/ /IO4ePwstMMXSABPjesHn3C7uPtXXnnlrbfewn4GBgZQL7qlEJl/HjWGIFqW E5E8ISGBhpbdn/mVpidqoCjgX7iabOiZFqw0Es1KsXhtgWS0QYbu7m6OoyvN Ax9K2jZt2PHmm2/+8Y9/lG3O0AbxwoE8DEr0ggq14XuzvbqsKCuptaEWn86Q 0uVoco8OlxeoXVGMxdiHb35dvefaO++886lPfQq4/f3vf48JYUiQz0svvYQM SPL3f//3kDDWK4waNQYT2WUYy3/xxRfpC3Su0tJScQF6zzVOoS50lsTERMp5 +umnaWXKp2R+ojPSFsAbl4ausQFsMjY2Nj09nZxcGlVsmXYZBpAg2y5nfW7i 2YU5YxXctdWh3vYOe3V6zJtgcF7Sue62Rvdo/7R71JaTUF+aQ+bxoZ2NdXaX vVVbxKZeOpWfeEXvN7Rl2nMNW6U//uxnP0MAhohTp05dvnwZselNr7/+OkiJ gVEjBgGag7qjqOj+PdcweAIBjAqtok/6Gn2W2PZzn/sctePEf/7nf+bXH//4 xxSFxTJ8feYzn+FykDBVBil/8IMfoE90goo4fubMGcrZXWx2g8LRGJAMlz75 5JPoFstnoOATsS9cuIDO6SaMCQTI/Im0KJ9RBeuiEPTPpTnCT3Sin/zkJ/Hx 8WieJkZyOgV9hMIZiziONiQEeOyxx2gsaiTbf8vSLkK8qBRjS7l4siDlasjn A94YwHMSLnnGFDEypFQX5ldac0YMh1WcnWKvKi1Iiw94Pc015du7O1BEjZVR Kwtz40/9qaO5EVDMSbjMQFSWl2G8D70Jf+YkxjRV2WptFpihICWu1lbQ2lCj W1CIFzLBM6ZceKcgNS7kn6aDcGku6jH2Eca5VFiy60sLrWkJQG9JdrK9qsyS liCLvmpJAIkKaw6S4GoBXQbDxvLikuyU6O4Ww7nxl9QWw2MjPW2OwoxECiQP VOPzTGrOhLK621pSzp8sy89EEvCA+lpS4lpqK0rzMhy1lXRPsBOlQb9TE2M4 2W5nS1l+BsypgYovkGpJdmrqxVNwFFekXo0VJfzbNta/hZAtafEN5cXUtN/V hjA1JRbZ4tksSVdrMzqpKMiGPTiXL/wTSAP7Kyw5NSUFZQWZKNaWk15fVoSW 9BKyWhJjL+OUtMun+1xqewVDkuLGSpshyToKsabG15cXUU0gpzA9qbbEAmZI A2m6U8I47MkIY8mBkdR2csbma5JN8WFft73Slpt0xTs5hrRcjnKE0s3ChALT IgzX5VcGPf7cHZ2uh3zTHc0NDJLlVGRluanSBmnAZmMDvbIT9I4wq6uEG8nn 36m05sJsDVTcmkNR4t0wV0qotVnL87PQDK2AnslJFUySbHGtosxkJBnobp8c HkItDRXFxmZzau1ZQgCjgYpo9562lqLMpJriAlnTWIsB6thy0pqry+AcyG16 cmKwp5OojaoVpMSKMIx+/a729Mun9aiOIxBQF+LlWrQL5kQhRHmcjkGSOeTz 2rLTsE9hzsnRIfqOXvX6+jVZ2Pa6Jl6/x4195idfcTZUYxX884yNqO1ulxYV +S0uSoxDlxkZ6KktKaizWduaatEw19KQSX6wDX4oz8vkp8rCPPSMSAi8srxE CZyu1sTe3qY5ZB/k1oZqOJChQ/BbiJdGKc1Lz0+OpadjBkqY8ZGl+XlZbFkL Q5l4wIay4uLMZL0JslkYbL6qKI9aE5TNz8xwFqcs4kWCAcYl1W2NmyHoAbOx pMaZt70+QuIlTEiLOVOWlzncq8CGilM1a3qCo74q48pZv2m7KBRCM5Fnfjby 7l2G8ZW4SAa9b3zjG3ilL33pS+AiYzVuBV8zOjr629/+Vm6N8if+6w9/+APf f/nLX+JWGMz1mKmJl+FdiBd3jA8ip8ejhCG/3EDGi+Gt8FDPP//8b37zG3Aa HyHl8EVOAcPgW5zLL37xC9C3oKDg9OnTQAIHcTqIh0fDQ0FlnHLp0qX29naK 0lXGzeGk8Gj6bjOe6MSJE9QU0KWQX/3qV3hDvBue6I033qB98U24SNEwRQks Cc1uGZvG4sF1IyLhAeJFvYRUjFpykEGMoaCutDAz9tzYcH9tsaW3s5X4kYGx 0pKTdvkM49WNbMCMcOANXhUlQOkAA8qhXe6++25YAu2hinPnziE2x61WK2LT OgDqV7/6VTTAiSAER3p6eiiNZiVCodaQhiCT3KhH1V//+tfhLmBA9lmjfE5H yYgBlaF2roLrF2HQGF84DlyhSXCCDNDvjapzu5N+Kw3iwvaEbVAdsh3YZThq 7FSYFXdBrIJ+ir9mgMqOvzjS31NWkIFPrC7Kc9ZXMwhnxV0c2906/D2TJl4Y j9CJJkCHqEW2+aNboUDZdBgVYb2EJHIXi1NQMo0FZT300EMShZmLFeI9ayQw iXbH/oElyrdYLIKONAd8RTNxdcyYwZ8vgDQ9i16pbrCE1U0D86yGjfXVxgqr Ne2ivmOANGODXY3lBctqr+EL5fnJI/2u2bC/NCehrCCprjR3biYEL2niZSSt sGTBD4PdHdeu7Tzj0MRLj4D96Jj0OzoLDE9QRkdDSAyV6mN42A99EDPDGhkQ 6LnR/cTLKESVqQInLhgJ1SUlJVEg/Z1+h7ooGSLFsM+fP+9wOLBkMjOqAJnk 5yCdd3h4GMwWqyADkohu0eHVq1fRWH19vWzd2Nvby5ALiNJSqampNB8VQb2E jVzO/KQeJVO4bFbIiVSKjklbEMhDvHQiakQr0Lj0LzLQU2hleh9xqNy0JwrT ShPixfVggWkXTzGMi+PAmxRmJOxs3bu2BgBkx13EZwkyKQYuLnDWV5l3Gaa0 aff41ZOvQxQADIBRW2rFyRZmJq+q1ek3utua8YaUDKyCqYM9rkg4WJqTroUR 4qXwkpy0tEunAKelhbnSvMz5SBjuokcYfWeRfrGxugZ+gIjgtCFM/s7t3F1J pibHrr7zelVh7tLupsODXZ0V1uyocYsMZkiPOQPaAbFUanywj2GzODsVr+rz ujVnzoZD8GduYgzZxLkHpr01JfnB6SnwBjGoAiSMy0MPIB+1RioyR02ciT7B noQzJ5qqSudmwv1dbYS3nFVVmLdhbJ/a0dJI7VBsUaba5phyCDTgq6iJeGFa lJabFAOTBKan6kotsJzLaQeNyAZQoYGFuQhapQpAHfmBXtmcyyTJxkBXR8LZ N5urymZnQv2d7XAOklQjycaGkqS5oa+zLeyfLspKVnvajiDJCKVJA2m6o9Vw MbAQzKxWMpyNwDlmwKBHT44O15cVEvVAm02VpfAATYketDD03AFXO8LYq8pX l5doFOIXZDZjCe7JXlk6NtSPWZZbsxvLSwJTHkWAft+eMKEgeJOfdBWOor7A G1XrVCpVrjNg7L+MhI1VJWAbdSE/glHCniQbG0QiNFBzdTlDDbFGh71BNVBR ntyDbbPXqhtE014sv7mmYnJsaHJkkNLMOqFlMUVgeKi7c3FhnqpZMxIJyVub aug4el/g+cgMTTw5MnTAd+g917Co9CtnUX7Q50XUmuJ8gkQwvjgrFWuXx+jq xoizWW8jopN5VgOupNtpX5ibo2kKjO1u60qtxlOJXoK4kb49R8kRR11ld5sD XJ8YGdzct+faEqEN3ZDGteWmg+IU0lhhGzSeiRix5M6oTh+EKyi/vam+rbHm wJ5rZCZeg1pb6ioRhpAQq+h0KGF6WptHjJ2CJanNi+31+nmBFoZeL9s+Ijwx Zpezabi3W22TXVtB+2KKjDkTuzFXJBQgOqAuulhNvBQoKC5HZB+x6Psh3m1j Aw4MgCivobwEtdAueHPsrd1eZ26OhbnZjCvn6FYox5qeqIsV3eIR8EHYz8MP P+zz+RixIUPcCkD13e9+l6vgCMbGlNkAXXgE2a73qaeewjFlZmbqMVMTL05N DlICZd51113AJ3/iZaBcvlAIHhweTk5OBsA++9nP2u12OQXPBT595StfSUtL EwbDzZGfC8kWouAZl6BYCn/ggQcQD/+C38St4Ge1kikB5/uZz3xGbmOS8HqU /OUvfzkjIwM4cTqdOE2YBJHwU1QffsAji4apo9x21sSLR5M7z1HD8VG4nvyj iZc+npt4WQ4qt5WeRD8CcenI1dY8IvdGFSyfcNRWNVWUzM/dcNqzJl4kwa2D sjQQTh/CRIdlZWVohp/QQFVVFTgBAKC32NhY2o560VjAnmxfS7AAbom9gfS4 eMF12CAnJ0cuB/cSWQwNDXm9Xk4EmKk+5dPunELJ2AOFQClTU1O0BcAg8I/d 3nPPPReMBGDcqDq3O2ma5RMT3XkCsrZGXbCKA3lWV5YyY8/LTAbQE3eJt2pr qOloabDlpkK8ldYc/Gx1YT5eUj+he8+kiRfzA/NQ1L333puQkCBbNqNMTFee sGNvX/va12gaugwIxCd8BdrRXmAV/cXcwTXxgl50w29961vAIVgFawGxNAHt wrVodMI97BnoonDycGlNvJRAlHqAeI0n0X5bbkJw2iPj4eLCbHFm7JzxqPH6 tfXAlLsg+RzKWZyfba0vs+XEV1hS/d4JTbwSNeNfEs+9NdK3o1vzPV66GNWX mQBIQqiLlWIeGBIUSv+S8BmNkUHtQ2QMQWbiZWAhA2qR4BThMVq6P1QpERYG T1dFCRROBnLyE/qkyycmJlIOtNnc3ExRYqUoDRXJNnyU/MUvfpE/CQlpGqya /KLnoqIihrvvf//7jCdCvACqnBjd3boIH03Iz9AUNYgXoMX+H3nkEcRD/4wJ QSMxpCCD7P5Mh4Wo6Tu0BV8oVitNiFceB5dkpyafexvvhn+pLiroaW/R9rC1 eR1nXZyV3NZUB6PizIBJvtMKUdOdVYaagZ7OxDMnSvPScWc1JRaKYrRfX13F mnrbnfhfIV6crOw1XJp7kHiVMDMIk5J84e2hHhexeSQc6mlrwaVGd4l3bWUZ unPUV3L66soy9CiP+LUkaGaguyPxzJtlBVlINTrYC6Ou7T6+V0t0Li/BmUgC hONzpyZGyUB3m3ZPaM5U0zk8bktavAEt41gdbhenTFNQvndiFASaCfnpJ7jX kqzUcNDvrFOzQaL7H5ojITCZcuGdmmILbppIwSDeXMWZS4suR2NPm4MjlOY0 dtcF6oQzzZL4PJMFqfG58ZcZyRvLiyFkg+vU3RtFvAbXIR7+F24EloAKynwP Sez1yRdO1pQUgHmtDdXC3tcM4lUFtjsorTg7WUHsYN/k6CAILUrTdAedTnsm ClLicuIvIRUkQ+30btFRAzkIiDzjo+rBwYWT8EDm1fNkO7DnGsJAJknn37ZX lfITSNmwe63o7r571AJ6L8lJzbx6If70nztbGra3t4zHZHvCTLkR5ioDJtqQ fZbb7fUChDCw0kxkhpIBWuKImVCgtsQKiu+TZHkZ+E++oO4O4SIlEKCBNq9f WyIQsNfDM4xLxETY7cTQwPjQQJO6A7xvpgdGPj7Yz2BemJFE83G6NS2+t71V dhaWxJhGr/GMjx7wHXpWA4HV7Ey4tb4ajSEw5k3rEM6orboDO8+zNq9vUlPD DvclM/EO93V1NjfQEJgWauRfjc1CvcDC3naHnutIlEH7clB5Z+MpuZl4AVrq PtTbRRRGbAXmdbY0VRflDfZ0YqVdTrsQr2pHO6BbK/vt6h2cNfESsODasEl6 MaUpYUoKYGNDGKfGb0yagGLUdIfHLAyc6fe6KyzZBKHEUAxTA92dWA7wT2jW 0+4c3r0zTHMjm9tkkJp4ZZCfNRIDLG0n96ZunXixh4LUOFo/LymWWmO91CUz 9hzjA6Yud+/pTTXFBbUlFsYNvqP2i2+8LPs2auJlhP/CF77ARe+77z68yeOP P44zxaEg6sWLF/HOfMdN44Bw3Fgp4IeLeeWVV2AkyBOaNc9qoF74aJAMTML9 4QRhRXw6VcZz4Yn4AnH97ne/wy3CXRT4iU98guNRw2OSk08wFV+Dd5B5vDKD 8ezZs0888QTuqbW1FeeC8OfOnXvrrbdwLoiBtJyCYLgYfsUzMobjiRBDSqZe fOJ0yIZThhy4OsBAaXfffTf5H3vsMcE22ho4odabRhJvTqvBgfhr8Bi2JDMX Ap6jplkNaJi4A99UUZDN6Feam8GRCmt2v6vNeETVzuiknnQU5fPr8tJ77Gus u6EmXq4COzHI42e5HDoErmgIrBF+qK2tRSGQAC6VelFfPvHdUms0QDQBFUuZ 09PTMBg/oSWLxSLCRw3iRWNRw2dRO6gJEuDStBHQ8uCDD9IQgDcRByydkpJS WFhICTQxiMVBJARg8Pg3qs7tTlpdaAkap6ExCXkmjqURUsmDvN2p0dcdtZU5 CZdVQxTnV1qyI+Fga0ONy2kvL8hgPKwttuB98ID0rOD0zSafmO/xQnTYzKc+ 9SlMCCtFyXwS1qErdIgZ/9M//RNspraBNIYjOh32HDX6CxAlE2YETTXx0vuk WFqNXgaMcQoQRe1kiimNCAbTrNSanksP5ZNmJcyhvdCAjDNSLNGuvcpaU5RV lHElFPA2lOcvLc71tjc1VxehQoLimpLs6qKM6sKM69evzYYDDeUFnS01FQUp U5OjmniRq9vZkp96Ne3yqdH+neFREy8aRufCTnQr+ggmBFhChjQKHQrTxWZe eOEFxpP6+no6IEFZ1ES8DCmUEDW6G5ZGxTF1ToTtJYijcKqPEqgjSqYnciHy gL4MXwwIlIOWWlpayMkY9TsjcVxcG7EA2kZjfGK0Ytgoja5UXl4OMGPhDEE0 HMELEtKz+BNNclG5KcEAAuLS3SiWgB2Y9/l8ADM5AWa6AwdpXE7n6sTg3d3d VJkBCuUA4e++x0tLw115KVfTY84QRFRacy+/+Xt7dTkOsbWxyjs+iqerLMqF K3A6hGMQSFFWMkGKy2HXsxpAkXAgwK+pl06XW7IY4fMSr5TmZdTaLKGADwYA pbLiL+LEoSlKzo67hIX3dji0MNJqCAPY5CXHIgx+DcGAK2t6wpR7TE5sqiwp ykgCVimWUU6EkdtfO5JsbYUCfrpV6uXTADNEdPaPL3DdLmcTXru1voYoEjnL 8zLpdLBBTsIlwHjA1TY5OoKQmjMZHmEP+ml+ciy90j02BH7IfNSmihLqyNUp HEyqsGTxiVsFtBAMItJABUhwOcbkjCtnoQvKyU++UpqvJkWgWGd9NbTMJSAl V0sTXlsJk5eBD4+aiHd5cRFOzo6/TBOMDfY76qr5Ul6Q5R4dBhrdo4O1tkJI AB6YmhinKOIFBpYNY2tmsyTeyTElScxZ9QjbkITMLfWV0DtqgUCA2PKCTJej CSxBKppvdHDndo2mO9jYoYS5VJB8dWpyjDbKunq+rrQISgR7gj7vUE+XEDtt urSwgE4aK4rnIjPk3LvhbLyzUJKjhGmuKYeH68uK06+c9YyPgA3qJZRQgCqo x8TGoOr3TkK/nvFhz9jIwlxknzCMpfGXLGnqQbYaLVLjyguy3ePDrcZsWMZY ELTCmouoBGuEdRik7My7K4ma712Sk8bVm6vKuHpeklILTeMeH6EQiqV8jnS3 Ng92d+QmXqaBZBaHFmM2HKosyoMGKwtzAFRLarwtN82SGjfQ1WFJT1BQZ0xm G+vvy7hyDvzeWF9jHPN53FzONKthjTCNTlFns+DBiVyyrl4kEKsvL3LWVVVZ c1cNKvZ7PXQHzA825k8cBEa1sb62/x5vt6ulEbcC8WJU/KPvUE52/MXC9ISh XpdxopdexijaYcxOB0cxfjNkqiCouQE8xkT5lVCup7UFG8YqMmPPE1ysGLtm IFvS2bfK8jMGe1yAMYVf23Ux+h5vp6NRxa3tWpjKhrIiRgBrRqKQKqDc3daC Mevp01ET8dLjkB/zLsvLZFxqKCsmwLGmxzeUl9AoSrB2x6hxrxgjx94wXYxK T1A/4jfXwkGwXHa1xuYNg1TYSfQnLRI1glB8kwxKfCeOlsnbmngZsRnG+ZPr dnR0wFdR40m3RE8cJENnZydORwqEG5uamkSk0dFRmZ1oXqsBr9FhJHloTsLF UGXAftV4pQ7Xj2vD4MUX+/1+OU6Z8rqNSIUM8rLMopEo3+VySbHhcFisi2vh /SFkoVPwoK2tjQIlfqRT8P3dJfP9upEQjJ+ofk9Pj/n1lqixRa95Hm9096U8 LsFPAB7fqUV0/5truB7vxDhdCYUvGdPbjN2919H5zu7em5sMCD6v+ybvdWo8 U/PQZmZECfKEV96R4VNNDAuHkZlLT05OEjKIA0U/VEpOh+qhIG08HEGl5FSP KlZWtBWpGH/3RhYl8xMly3s9FIjOu7q6OE6Zsm6qPJJwOBzYBudyRVRxO1Yt uMVkfitN7hPa7Xb0Ri0QHuSQm5M6j9KDbwoXQ9OsGO930NNpGgYZXCoH1SuB nkmG3Gs3rZQQr7rtOT8vnRqFy+xrBJDoCbs1gGQbqzO/90oe3V+QGfOD3CTm FeKV9xBpaykWm6cVqI7H4+G4bH9GCWK0dB+OU3FahF+pMlcXs9HEq16xCfvd owMrS4otF+ZmDK5YkMkJ6nWVqQnvxAh/Ki+wtLC4wFVWveND+G7zPd7FeQbA aj3dK2p6c02mUkgt+KRvykxyddNvYEBesUQeeiiDCRkYPeh6UdOba+TU/ZQM nIVaZGM7eblV9uhBLTLIcDoalu6ADPJGGGqR8YRi29vb9X1+OVd+4hMLIQOF IA89WrqSXIjCkZZOgQxoki6jpZIuyRH6PqfoSzNscoSOgMyU1mckMqBkmVdP LaidfkXXfI93fjbSUlfBKI0G52YjjN6M0suL8xALZjk3Ex4f6tt5lWxtlUHe HCzrO6u0IMQCmVw3mmlhfpacOHoadGE2Qsl4BJBVpvWG/T6uYm5BfY93PhJx 1JaPDvRJmRBjJBTkdNqdcYzy6Be7wqy4R0f0Wyp7d5uRZGy4ttS6aSA0fsnn nsA90cuWFuZXlpfUQ/Apz7ba12kjOD0tt0NFueY7qyHflLOumsxYlnr70fCh CACJUTVKu7axPu2e9E6OSj+lNIqKhALmW4goEHeMlyfUpafPzoR87knj4cLa klFlogP/njBTWhizJByHM9GeUeCaz63uOVO7xYV5BRgrKxDdkvFeG2PI1MTY 6urey8V7kqyugh/O+kpxVbPhICRpSEJvQ5JrMwG/Usv2FmXCrntqMd/j3doM IExd5dTkuMG0c2ggHPBBOQhDA6GlDRMtXN/YQBhOX11eMgsjb4Q5G6ooUy6H EmhWpZaFeaq2tLj3mq2MkNeMOatkNt/jDUx7gd5pecFtdRW7nZ8zNDM/R0ut LC+jGRlRKZbv8k79AUkYTFobqg2tXMfYiOw2jZmxSi10mYCPq8i868C0h1Dr oE5QZiQ8OTIUDviNN8vCCoTmZzE+jEFuz24ZBiy6khuqFI4x7H9zTckPgSt3 sL6GtLgJBF5bWUYksTGsHUXRNHo6LpZA25mJF7PkLOMt3TVaxPin6oLTp3YS ClEaBsDlMHKCCORcWlwwEy9Fra+tcO41VdzaNY4a0xWoDr6JTmRcaxvdYjOU Q60ZKAiE9aRicXbXlE0oYTbWV/cJ45nUwmD8UKl59YOoiXjVmL8wRzdEG4it NOCZxHjlFI4g2MauzNQFYeBS7TqPVyf7aKWP7upkgsR6JYePcboVdR2JSg+k v9jVyRjNzLHA8epkHyAdWJ0Mx3T9AzW6eYUEBRIrH2SdpQOrk30wYY5EEvMK CTJtb/P9r5m2vX8pAChxfXX15qfcyZJE9z/B3xFm8/DCbB2FMFvXdidk/h9L crw62c2FOaSzuzNXJztMOibeW0kfXeL9y0nHxHuTdLwe752Zjtfjfc9056yC e+dIEj1ej/f2iBE9Jt7bL8wdRbzHuwz/r2nzeJfhOz7dirpuh0qPdxnWvx7v Mvx+0/Euw++ZjgpjjncZvpOFOcIGOt5l+D2F+TjtMowMPp8vcugk01kPX46k mZmZqampoyrtzkm3Uq/bUfePpTJvX7oVdR25Sqenp4+wB5mLDYfDR1UaElLg IQvBwhkubiQVvx7yEgh5JGPaRyjdXKW3no5EddKChxTmSCRBBiRBnsMUwunB YNDv9388JBFh0O3HRpijaqCj0kkgEDhMISQp5PDCyOL5f1HC0MtGR0dvfo+X eHzr0IlCYO/DlyOJgCtivDbyMUsbGxuyXPwh87yvpJY6jESM9xSO0/+ebkVd R65StRjm/Ly8VHWESYqVF9OOJCGhvJB1mCSLJNxIKtnu8DC6Paox7SOURKWy Z99hEmP44VUn87IOKcyRSCKTcGTPwQ+cqM7Kyoq8evwxkEQLI2sifQyEOcIG ukN0QiFqUd/DCYOxIcnhqUyEOaSzO0Jh1FolNxYGv3w8j/fOScfzeO/8dDyP 9ybpeB7vnZm2jufxvle6c2bP3jmSRI/n8d4eMaLH83hvvzB31DzeY+L9X9Mx 8d756Zh4b5KOiffOTMfE+57pzuHMO0eS6DHx3h4xosfEe/uFOVrivbax4R4d Dkx5trb22l3uFes/1XKOwwN6QWC9lqMm3kAg0NfXh/HIGrOyYuTU1JTL5YoY G+kGg8Guri7ZKThqzDRubW0VX88pstylmXgnJydlHdTbtEar7LWk/0QGh8Oh F7o8kLaMJxfveXxwcHB1d1EUWfX03T5d0yz5uZBsDcARmRNyIM/29hbalnUF V5b3dedNY61LtXDiDUxIFomVxVGPifd9pQ+XeKVk2dJLJvbQQ9va2mTzFLqV LNIri+jqczEeOp1s3i2mSBeT0VsTL8XSuaTf4R34Th5Kw/j5LgbPKdPT07K3 GoVgopze29s7NjYmpWniVcYZCbtH+hfmd/qpsfpraHpyNOTzbBlG6/dMREJ+ js/PRdZW1TC1srQQ3U+8svDU+vreiKSJlyK8Xi/1ElRAGNnxECW0t7cPDAxw EMEYHBCVg7oETbyy2q3T6RwfH0ddfBeXhCpkwVsGYRTb398vozrl86cs7csX jpBNLYu6vCyP0lAXg5Uc3DY2TePSsuPwh5vMxGuodGnDWPpyZWnRPTZi3oKc dvG5JxaNLZaura9PucdXTQt/mTlTgevsjBS4vLgw7Z7QC2rR+vORiM/rlmWT I+Fg0NgGd+/EXeJVCl9ZlmEKBeJc9glz/RrCyH5PG4YwehWy95RErfM87Z2a HNeSqJ2twuGQX63Qfv3atZlgYCbk1+WbORObVFskG0Mi10KSxfm9Gwvrq6v+ KbdaWx6lLS/5vZ5102BuBqrr168t7SxJvbkwG5Gl/nerc31uJqSFCQf9kVDg BpIsX9eSTO+TZO3dkqz975LMG5JsmSSZVZL4oiJJYE+S6H6621KvFKldcZWS IxHv5OiSKaQVYWT1XYTxeT0bpvXY31OYjfU1DCMwvV+YcFAJYyyAHAr6IqHg DYVZVhtJSDn+KY/e/dYQZsUkzKISxhg33kMS4yy1mq6oZRdgkARbDe9KggPV kpjFoFGwdixkP3Jsm3lYreq2sY7/xgJx0z6Pm0bUxKsuFAr4PJP+Ka9as/em i78pCNhYNxapnmM4lf1zFfFubi7Mzfq9bmqKMEH/9PLiDWNAWWFYrW987dri why6Mi+Bu7w4jzL5J+tdi55lNWOMB1OhvrLgv7HW7r6l80SYTSVMxBDGTVOa d5c4kK6rhax95DQPLFoYTqSD8CuGTfe5CdWrJZfdE8bG9Ht5jpB40VVuYkxt iaU4M9nnnWSEwVQoua+z1diDRglPozRUlNTaLBlXzmJXDeXFGVfO6WLNe67h Yr73ve+dO3eOTxzE448//sc//vH73/8+3uE3v/nN888//+STT545cwbhf/7z n7/88suvvfYaXuaHP/xhTEzMgT3X7r333lOnTl26dEm2SOCnnc07FhZwYWgS pyPNSobh4WExSzy7bH4hie9k41xy+v1+vf8FX1566aWysjL5s6Cg4LHHHjtx 4gQiUSD+VDZTYAAfGRmhT7W0tLzyyisiiUyfFpeHGl944QXBiW1j+9FPf/rT FCsAg1SiHE2znPif//mfVJZiT58+ffHiRUreMZjdPHTtc6/+trm2IuSfqrMV KgQKBbB5DK8oIzkSDpUXZI30dTPWRQ0bDhlLOm+rtaZXseGijCRII3pMvO8z fbjESzp79uxnP/tZbOD111+HwZ5++mm+0E0KCwutVit2hQHTs+BVORGDb2ho +M53vvPb3/4WQ0pKSqJzXbhw4cCea+fPn//Zz3721FNPlZSUUM7DDz9MntLS 0j/84Q/PPPPML37xC8gWkvz3f/93EJG49ac//Sk9NCsr66GHHqKPnDx5ctu0 5xq+pr2pstaWY0m5sLNDpdoI+3JNcZbLUcuQ21hRwK+TI32hwJQtO66psnC4 r2OwW22lurW3A8VWyDedn3K1OCtFkCZqWquBPoLAL774IhooLi5mDGHoyM/P 7+joePXVVzmYl5fHnwwdDCxkoIs1NzdvGVPyZM81+h21ePvtt8lfW1v7pz/9 iZ/q6+vRUkZGBhoAemVHuV/96lfZ2dn3338/OkT/1JduTpdEG3a73WazMTKg N+RBD+QX6KWbP/DAA4hxhGbwwZImXrq/f9qbl3SlNCeNIYLR25aTlh1/SYh0 fW2tqdJmTYu3pidAQVWFeUVZyUr5kZmetpbt3T3Xokb7ttnrUi6cHOzpZISh QFt2Wn1ZoUH6W8HpKcoszkpta6yZdo9nx10sykzq62zXwuzsQKGE8eBWSvMy ZmfCnY7G/KRYtcOasRsCwjRWlCBMYUYCcFhpzUGYkqwUCX/2SdJYiyRD3R3z c7NkK8xIxE9FDYDZ2eYsL73L2TzS34NUZXkZyOwZH+UqmjP5MjE8oBxcaSEE 0lpfTY3K8zMjxnZLcEVtqdWSGldpzYXAGVeLMtUlBHjMQLU0P4cCqe/40ABe Mi8p1pab1tZUuyOM2ulMbePV1WoIE3eJio8bO52ZJLk2Pogkl+tLi5DEWV9l SJI1a+zNDQPgXi2p8Ugy7ZngOIqVncUOSAId4Yu5xMRwv889qRooJ63dXieS GJuLXS7NS+9ubRnu6zbUko7M0kCa7tTeYYN9uQkxtGzY7+9oaSjKTC7OSJao hHavLSmwpMVXFSphyvIyRRjEHupxHRSmvJircAksrSxf5WxtqDWudU0Lo/bJ 7XWRrTw/A6ncY8MzQf+eMNeUMORUOy8H/S015fnJsbTFvHGjDGFqivMtaQmG MJOluemIWl9aKDukaEkgxoayopyES5Mjg/BSXlKMLTe9s7khaiCuUb6ykN52 x2CPi+800OTIkFknDERcqDg7tabEQjWp2kxA7Y/gHh3icstLO3twD/e6chIv e8dHqQLtxSmElpp44aXOloasuItJZ99qbaox9mVWmxCqWm6onSyE6kmUwLW6 W5sxwvqyotaGGmOPCCBTbccwMtCD0aZePEWtKwtzO5obsEDOVUVdvy6fUSPu Q7cl2alYIJaPBugXGjIRBqMtSIlTW42ooHKFzjg+2A/gifF3NjcWpFylZacn J+xVpdgecYEeW2StBph8pK8nN+FyysWTtDXwzOVFBn6aj4T1TTmKxarRidoK dhfRtTCoi9NTLr5DvQa7O5FN3R0xAq5lmFttwKFqRKH0YlqfBhrp79HCHCHx UlDsO693Oe3S9VAO1kKvb6y0xb79KgrUpzjrq5EWxCKEyU28oosVqIMGcUbI f88996SlpX3rW9/COzzxxBOIgbfFTePCIEly4mvIwJ98x0fjStLT93ZmF+Kl zLvvvjshIQF/VFVVBSJyHCLNzMzExScmJuKYZLte/OA3vvENLg0e49RwYbgn vJWUFhsbyyX4iROB8B/84Afkyc3NxdF/85vfrK6ulkbhuOzshtoRBg+Ln0Xm ++6777nnnvvlL3+JwJ///OfLy8t//OMfc67FYsGNggQOhwNJhLFx5QiMIwby 3W73j370o3feeQeWiJpoFi391Ei4UX4FLZqamvRwJHlof7okY2O/q6POZnE5 moqzUywpcV2t9vOvv9TeVMeoknX1fEbsee/EWHVhPh0Zmx8d6Lt68o3q4nxr avzCvNwrPibe95HeL/GKP9XpAz+K0sSLkWMzcXFxf/7zn69evYohcSEMCejF YvkJM4bKOjt3dmNHAMJMOgWGSqfDYs37/Wni5RT4MCUl5fLly9jtT37yE4wZ DnzzzTcBRU7PycnhctA1PZHBny5Dv8gzkmxzJvd+9awGSu1y1FnTLq+tqnB4 dXnRkna5oTzP750ITLkTTr9sryryjAwE/Z6SrLiy/MSGsvxVY1TUxEu8X1GQ nXb5dE+7Y3V5bwF5Tbz0ayJKgJzOC6VPTk5yBDFcLhdHGhsbo8amjfTTqakp hgj4PLp7j1f27yNerqysJEaAflEOrMvIAOpTLBXnXNl0mDj3opEYMejm+Ubi Ko888ghXpOT4+HhCWmJbWfpMblAjJ4XIVokfbtLEi0ohn4wrZ3s7WuV+KYot yUmbHFV79q0sLcIJK0tLzdVljvpKcuL+Kgtz2uz1jB7RXc6ktKnJMYYR/GzQ PwXGVBflc641PVHtk3Vto6/D2VJbuayOJOAp+jrbQgFfWW6GFkaIl8JLclIR pr+zDYgChGZCwe62ZghWhCnMTIYPmipLnQ1VCIP7q7LmTsmWW7uSeCdGr558 vbowDwpSN5c3Nz3jI9RCSnA57YyHQd90cVays6F6uK/LOz4GheK4AR7NmbPh IMLnJ13Be0KqdbbCoH+6s6Wxt8MZNXw0A+ZcZIazcNOATSQUrCstDBlIoIEK zhno6kg6dwKfGJj2DnR3OGqr4Gpk3jB2j3K1NHUbG7wSROD0udbk6FBDeUnU RLywBMwPy40qSdy1NlATSRrQ4Y4kRflAFzppVpIUQUd1pVaJEbQkNMGAqz3x 3FuNVTYIc8DVweWUJIW5/ES7UDVDEi8uw1FXBThBgI0VNmkgTXdU05oWR8iJ MHK/FJoFM4SFdoSJzDRU2pQwZQgTrCrK41oUtSfMxka/qw20A6sElTfW1we7 8VnWqLGPGJxGBw9MeXBPLXWVYwN9qAWSIb+A064wAbwbYDY22OvzuOtKQWs/ bo6iKAeFIwxt1FhR3FxTjjAzoQB8MmPaFA9J+jpaE8+esFeXkp9wr62hVtRi 7Pu20GGvo8X9XjeSoJaxof6xwX4a3awTLlqYnmCvLqdkNNnttGPkpTnp9JeE M28C6tIQFIudGFuz+QpSiehtfDHPasBaxocH4HYort1e650cR0suRyNtSqOA uPK4YXlR7X+NqAtzEUyOrqE39t3a3WUYGWDmltqK1EunsHyq39vupEH7Xe1E EyIP6m2ureBP4giUM2kiXljUXmmjf8EGlA+z0eXpv/QjPYC4R4exfEBCbRxc W6n62m46sMsw3Q1R6QiED6P9vR3N9QAhYRHCI4OcMjcTrrVZnXVV+laweVbD suq2TRRFEIFOEJVGQTDatygjCXSXDWvUzcyujgprjoQkkjTxbhs7KupEZpHw fc1qQE46Gs3KRYm+cUZqsHK1SeSoE6hPkIsW+Efn1cWaiRcZHnjgATzmH/7w B9wo7hWYBDXJgIuRx68AMM4XLOQ7XuaNN97Qd0s08SLe/fffTzk45YqKCnw9 hv3yyy9TZkFBARfFv5MNlwch8CvfAQMuB0iTrbCwMGo8w33rrbcoH0zlipAz vhIA4KIoCmwuLVU2jxd78MEH9ewCfCXuDGn5lZwcwfPy/fTp03zHRTLKwRiA Lm4ReAAVhHhpEc7FUX7xi1/E56IN0EWqbCbe3/3ud4AHtTtrpNbWVj0cSR7G CltuKradfP6d6uKC9CtnGPbpLIx1+A6sotKaQ8TU0VSHscWfeoO2K8lKwaEw DvArvoYxZMuwhGPivfX0vohXJhiEdhPNuvqBNh6KmogXE4Xu6B2YMd+JhqIG 1xHBEa8RiGE5cC9B1pUrVwi4yINZEogR+kF3ZDtQrBAvveO73/3ul7/8ZeQE bukg9AKg7vnnn3/00UeBPUz029/+Nl2JT/II8QJ+9ErpjweIF9IfH+opyb4a CasgUc1qiIRH+jvzksAte0nWVc/4kCXl/OLc7LR7zFFrK81NqC7MCAWmNPHy xeeezIq7wD/ckBSriRdlEhQTV141UlFREViLeGQgZKa7AaJ0bX5CJwAtoSuh aNQ0q+G6sas1ff/73/8+wQJ9lgATtod4AXh6dzAYJKCmj6OQ4uJilPPqq6/S qaky+Xt6et5++20yP/zww4wSEC+tQMiA8gHm6C7xyvcPN2niVbA6MUYUnB1/ GRaCPVobaxrKi8WehXjX11Zw901VpWV5mbikmuICZ11lWb4KFvSd1bXVVSAH 1MT9jQ701pUVGoCaZOzGuyHUiicFBpqqyoZ6XYAcLlULs/va+yb8mXHlXG5C jGd81LhfNwPa4Qq1MIAWrpxCGNMoHPL0jo/ul2QFJkESHKsiDd90UUZiKKAI UNAOd8kwSFEthsefdo8zSIJkWJTmTHrASG93esyZ4uxU6K4BXgoHu53NYCHl QC8oYWFutqWmAqBCXbPhEHn8UzvP7PQtROQnZ/KFdyAxPCNK4FyG5Y2NdYbr zmbAtXUm4CvKTAF1xocHPWOjDeVFURPxoj3UlR5z1rg70QOczIaCXU47PndX knwkAT9wwYYkQfIEjFv0ZklgPwgh5cLJdns9AUVbU51Cu6I8yjcgsx7xOEIg AAgBFZ6xEUqTBtJ0J3fS0mLOIMzsTAis4rpyRzS6S7zgDabSVIkwJailuiiv ubqcIweEgSpRS2+7Q91hHh6osGSjq6jxbBoJB7rbJRCA1oArhMFaGipKQv4p kzBwcifxry03HSqGJ9VzgeZGVBoV4i0mFojAlvxDOeB3fVlhyO/bk4TROBKu tOamXDzZ2VxP0EddRC2bxlQHWo04RQUCSFJb7h4bUoFApc2sEzW2R8LNVWUE Apg9kIxychNjEIO+oHvc4vxsW2Ode3yE+sKHECAQayZeqkPIY68qQ7FojDiO DHQB/HitzdLZ0iQ0uHl9E0qH6reMTXXB471ZDQbxEsRRC1x5d2sL+uFfTUkB FZkYHsDyhcCjxtOBLmfzxMggbcqQK/dO94i3uqzCotCxvbEOS5ubjbgcTfre KZ0XOeFnaIHeRxQ5Y5oDYyZeeLijpYHuBvfynX9ELkXpiYXpSVgpwamcggUS FtEf5QF0dD/xLi7MYRKcy8DS09ZCE7Q11VpS46yp8ZgNfUGm8aipoZNjxE26 jlET8VJUxFjDkMQwzlCsJ+/dIvEiJIUT8gCxdGoCJUKztMtn5EHDTFBpgDIJ Uugj2DYXRubYt1+TZ5qaeNvb27/2ta8FAgGoD0bFTcTHx0OMcisGfwE34kRw JU8++aTP58N9ZGVlgYVNTU0465qaGvOsBsT71re+BbjiynHxZMbLcyJujoO4 Npw1X+DesrIygJbyQeiYmBhIGySWiX9DQ0OIhFsUz45brK2t5Qt54GQoVxwl CeeIkDabjauArMAGvg8P+MQTT/ArQtbV1eH+ent7hStk/sNzzz2XnJxMaR6P h5YFzsEVCBbQRRhcJydS5aiJZmkmzqKLIRgOl+uCLnLPynSPd74wLXF9be3q O69bM6CFfLo5wbLPM5l99QLxKcYW9E+1NtZiXflJVzCV3k4ndms869koykj2 TIyuGLOejon31tOHPqvh/PnzmBkA9nd/93f0JuwNS8a6sFj4E8wjjPqrv/or eGxychJMBf/oaNhP1OCE3//+95glYd2OjzaIl+NEahykBBAXfqMbcpbT6QQd u7u7yQA2Y/N2ux3qo8+CxAKTzz77LH9iolu7a/hEjWfNve1NPW2NlpSLPu94 u71qbibU72rpbm2wpl/yTowUpsd0OeqLs2LXMMGFubrS3Oaa4priLO/4sCZe NWN2oKeqMI/xpKdtZ1aP+R4vojKScFE6LJ0IzaAEIJZeiZDUAtClr6nHiKur QKzMVtL3ePv7++l39G7yEJPSVammBM4yTYKxkd4nm8xzhMBTNPbaa6+hQ5T/ zjvvoOF//dd/zcjIILJAPzAzowEy0Pr0d6JdPXp8iEkT7/Xr10b6uomFlUrb HbDBlbdfJUbGSeEfp92T4BnDSGF6ontsxLgBWFmQFseQgsvTsxr4Mh8JtzbV Zcdfyk+O9XsncxJinA3VpbnpABjeFo7NS77SXFMBhOC24F78HUVpYYR4EWa4 p7vCEAa3LvmJxMcH+3ranVwUOeENa3qium2bpYSxpMUtGf5ISwLDtDbUZsdf tKTGA7Exb/2RQqAmTsfF4w2pS1OVranCBpMUZSXXlxUD+SDEtGfvHi90ARZC WVlxF1GLvboUq6u05I4M9KIcfC5QVFdaWJ6fNdLfXZqbAeCVW7LluYMGKnUD 0D8NPGTHXSgryBwf7LekqUe3taXWwJQHnhnudRVmJDRVwoc2tA1W1ZVZBar3 JFlZ6TUkyY67RB7QEYZED6iRoZt6VRbmokwCELoG2ShKSSKzCvckuR70IUlp dtxFIAofjdfmT6oApROPDPd0qWAESapsve2GJKWFVFwaSNOdIUyrLTuVchCG ogBOQAi87O9qm0QYSw7ETjAy2t9ry0kl9OA7x2Gwg8JUlWZdvUBFhnu7406+ wZ/wD5hHvx7qcdHEVAQbA7cIOvBQCoNdbYEp735hnEqY+IuERYQeNDScNj7U 1+dqQzPgENAuwmBF9kpbhTV7zdiPYEeS69cDvqkdSSw5o4O9qKWpukyCF4hx qKcTSRrVLety2gWUrbNZ5O66aVZDpK2xBnTnWrQv9s/pBSlxvR0O1GgEQepB g3dizJoW39ZUvzA7g3jovMthNxMvQRCARORFgZC5MdMjubGyhDZFe4SlcieT IIIOQpcMB3zwKhaOPs3Ei/YAwkgwgH+HqzFsMmPktty0srx0jkiPmxwepDow G3Hu5OgQQZOGTNAObYPK5MTGuiHeyAw5hSRBO0LI3KQrjBugPldhWBgb7NWT ls3EC/vR/WF4PqlRWV4GjQI31tsKqazc4Q8H/AhZa7NS97mZnUn7+4h3fk71 0B4XBF5js6BVzKaqKJfmhsOnJ+m214BefkVI+iky64HuCGc10IhUB2tBD9tb WwNd7UiF6jiOGLRv1LiNg3lguvKQBR2q6stUqF3ixRFDsKAs7hV3WV1dTXN0 dnaqh5hra3guUJDjUKXkhydjY2OnptRjFKg1JydH3oYQ4uU7B/FWmZmZGCRw y7mcgq/nElFjIi6n4+y4xHe+8x1+le1+gISEhATJQ2lFRUVAKZcmPxFBOBzm Cy4V4rVarfo9NU7E8VEgOdEtF01NTYVOZc4kbo4qkB8gARLk3SJKQCrkx72K laJwt1vdsEIScoIoQK++6STenLpTApkRg8I5F5eKLzbnUa91eNS7ITPEsR43 l8YAXC2NIATGwEjFMIthzEVCi3OYcMhRXzXU07UwPyePV3xeN50uejyr4X2m D5d45QYmJocZYDz0GogL4MQs5c0piaoaGhr0vVZ14ysU0s/WGVjoRJiT3G3W q4BSDvTIuQRWmFyGkSBeoFFgiQx+v5+clNbS0kKX4SrYJ9m4usz20cSrZgAO uFobKsBdvnvGBlaWFod629oaK8PBaQYNv3eiw14lb67NzYYDU+7FuYjLUQf+ mu7xbk67Jwjc2hpr9WwQ/eYa12Iw+f/snflzG8eZv/+Y729bW1tbtbtVu7Wp PbJHsptsEidOYseOndhxfCS2YyfxbctXfEnWLUqUKN43CZIAQYIkQAIEQAIE wAMkQfAAbwAEcfC+deD7zLQ4HNISIwlQRKvYpWJBwEzPp99+u9/nHTSmxSyB 84vJgSFGS0FxsXA3FAp99Rarco+XemBjwJgcAbNQG5XTEE4hfWYgi5/Ziqc7 0nbxRQxHgrWk2NhhZGSE2phbpqen0UBSQG0kBfIi5OucztCm8jS6wd2VnXu8 xOKJMaJql8Mqfa86MtjtsHtdbdFwGAJcXlhYWlwgR4YfmGXjs7NuW4u4uy5+ XKbcWSVsdzvtRHz5pzRXJgMjYMDS4jzpC+fS4xBaZ7ttXf4F1kCPdINra/tn Pjv3eCUxowYpENvln9Etoyow0AeZSL+QWkTMvCRmdBgnic1GXLbmmekbX4zu VmJDCQcTuwlGPR3tQ/3euXgMgAdlQQJojZkQQAV6/b3d8oLJG4uNlDurI/6+ xqoy6UaW/GUEreO6nBWcHKda6csyhxWK5qzw9ASvmUWFEgWopERgPtFhMRlr KnBjkr6A3+d1t69wDemLDEkMMbG/y00GhaF8XS5CqlixuUvJQB8+L27rgQS0 juwDJYyFleWleGQGPpHI58qV0JSsZPsr5l1K5hJOi9GkRckSl6M7IDrxKw9a AaP4e7uwBiJRAvQCGMrPkdS3VYd9Qkw34hEmblNHI6GZqUlqxghd7baZoCxm cpwAhKHEj6R2iUnEJTE6DQISsVmClHS/cWgANCIMbYvx4GP4ADBJanD1Rrmy S0y/lG6IRcLUQx9NjQXo2NDk2OrKEumGLGYKkwox4ud4u5XEHOYmsgYuhElp EchNQxbm4rKSFRCR3IfIyHxFCoAjCbRTZEjdOugjmIJwmG5i2O+RQGiYpuG6 Yi00qpGBPOl3NPMJzOtpb01EZ9XES+eSu2EuXmBGpjgOXl6Ynw0HIdjI9JSY 8eLRiLS8ua+bY8hcxoYGNjc21MTLMJlLRHlzcS4BK/JPtEW6SevrFT9BRXZ4 cpx3xof8sNnYsJ/rKpAp/aAyERO/jpRPT2xtbdJl4l4lxqFdGBMfADTI/ro7 7AI7hbeoiVcSE48ysUB9WI80lmFIL8DJ9Jp4jgEeSIsQo/59opp4OX0+HkU5 MsaHmaBs4OXy4vzo8ACvIyHJMmieGh1x28zCIEo9h08nUwokQIBOl4B7VA6f Tnbwy/0l3jRWqFR7kJ9OJn4Dvq5aeHz4dLK7KHue1SBT0N2srtnzhATxm467 EKN+VgOocBdi0qJE/YQEKeYuL93q4Tb7lL2PAtjaWpxPpKhkdWlJ3I74yytJ 7n4ugSxmMU1i7uaBonvE4C1bdzgNpkXJ4dPJ9heTYrA7mE8nS6Xcd+L9WpRD 4j345ZB49ymHz+M9mOXwebw3LQfnKbgHR0ny8Hm890ZG8pB4772YtBCv+lGW d12WpKQ1bfFa/CAoXbUdnHJV3vU19WPuqDyoxrxH5XbMdS9Mug8Eplht6iCk FPGkghQrwXr7qBK8lEr9gi5SqeFrV4RJU4zXyTT1r8DvFMWkRQmeINbfplKJ WN6cIsYcHCWKmBSB6uCISWMHpW4TwYepVJLcfiBY6pBJJWkhXsrBEbO/ZYjL +xMvGiKRyELKhUri8Xjq9YiC7HA4nK7aDkihUSQgMzMzKR5zF9d98Ix578rt mCvtJqVCOp2uT2Odaa+W2hKJROrThfDwW6lK0f/TJfLrVYTRxF42d104nTk8 Xf2biph0KRGekLpZYrFYNBp9MJQ8eGIevA4SlaQohmFIJalTWVpalC4x4uEM +xxAXB4dHd3/Hi99vZlyoRJSpNTrEQVV2DldtR2cIvatSP2YOyokNRiTv2ms 8wEut2OutJtUPGtlZWUlXRWqq8Wj0lUbClOfLhjdeLj8VPNbfnrXtk2XyK9X 2d+kt1n+Mv37l1SC5xNqUzfL0tIS+PFgKFHE0E0Phpg0dlCKNhHfmC9sP3Xn rguVCE5LpRKcDSWpU5kQk2KwS6MY6tlHjHgowdduHa9YJ5mu2g5OuXr16p/9 Nvx2jrmj8qAa8x6V2zHXvTDpQloX3KqrTe+qhoU0rePdZ1VDiv6fli/Ev14l LQsJkmlaAi3WpaQoJi1K0rU4k9B2QJaJpq5EEZOWVQ0HQUwaOyh1m6RxHe8B WTqbriUW6VrHm+KqhoNJvIe/XEvjRQ9/uXZH5fCXa/uUzcNfrh3IcvjLtZuW g/N7sYOjJHn4y7V7IyN5+Mu1ey8m7c9q+LPPb7ki712i/Fe5tEK84gsp/IcX SnBUB0ox9tXzoQK3ymFq4hX1iB0n9zXGXRb8XL1PFoE4Ho/faSUCgdSNuumE r6ZZ5elM4rmEiiXVx1y9euMJPzdtu9hX5VaSVldurMM/JN47KvedeMXjYcUL 5VpicAlXES/UV5eeAbWyooxr5gTFhRTi5RRcXbyWnhW5vMxHnCKmerX7iQPE tg6cxZFKzbsH8uby4rxw0RvvbG2trS5vrN/YBXJ9bXVD7Ct09Yqo/+p25Wri 5VO1e6uJV3yNpVxavBYHCM20FD1IVQ8ENfFyMMNZ6FeaJm2AK0/jYnsjESup jRfYWRiTtnOkYi7loZ2JREJRzn/VZr+PZQ/xYmfmDPH+6vLSVdVcJPrl2rZr MYeoHWk3Z15XYoE4Un1Fsa2DeE2/b6iMsId4ZTHXRS0bG+vKcz53xGxPU+pL 3EoJF1I2pL5xdWLN9iZNV6TdBTfUHymcKWZaoYT5lHrUrntNemdNKKG311UR YQ9QYVjVk4d3HSlfceumYm6l5NoNJTvee3dKpG0LvqJkU1GyudcsCt3JYraH pzR+V74q5vptibkuxKCKU/aK2ULMukrMTmq/V8y2t0j73ayv7RUj3d/bK+ZW Sm5ullso2SXj2jW8bOM2ds8UYqQtftbWsLdCvLyQFltQyfr65sa6OGzfesSG 9XTalvLzN3n+4ex16Z90a3Nl/+e2Xd8uUgSRI4UCmfxXesgv9tx+ZiDXUmwr mWRtTTVLXFfPCdvEq4hZ29ztsV8VQss31tbUs7oiRlIib/lDPaKxt6oFPdDt 1u7n5qV3B4rmWk1NYXZlzoWZ4BSXE5OMtNlBl1uZlFrqqmuKsuvKC8XOFHXl BUq1wraNjY0/+MEPhoaGfvOb37zzzjsvvvgiMeKNN974nVyYCT///HM+ev75 5+vqpL0vP/jgA/6bk5NDYOLNzz77TL3nGq+feeaZt956i8OoZ0/rhCr1TyOV pm3JRXl/U16oc6M/5IfbK+9nZGQ0NzeL/3Z2dj733HN/+MMfuFxSnnWVXhOt 8/v9RUVFymQuwEAE0I8++igUCon3Z2Zmvve977lcLvFf5dIKzWKHH//4x3q9 fmxsLDc3t7CwsLu7e88xdG3e6S98PZ5EdNYp72ckPIRJyWE2bmysWeq1keDU tW3fU6cqDI2m6rLFhRu7eBwS7+2X+0u8OC1j4YknnsCj8MzJycmjR4++8sor jBE8xGg0PvTQQ4y1/Px8XFGciBO63e5HHnnk1VdfZUy1tLQwZPBGgaaCeCmc 8vTTT7/88suiHi7x/vvvV1VVHT9+HJ9/++238V6G7cMPPzw4OBiJRH7729+e OnWqtraWI//4xz9yelJFvMx9DrO+ruxSQ1X+xpoEKuurK43V+XVlWe3N2pWl Ra/b2lCZ4/e6FxIxo7aos80UmggMet3J3cRL+mw2aO1Gw9r2jRFlVQN/X3vt NSaNjz/+uKur66WXXvr973/f1tZGY8VkYrFYGDuMVrHxGQOHuU5sDCe266JF tIuzmECcTuf58+f5iFFZUFDAiHv22WdpKc3EbhgBm/zsZz/jiuXl5e+99x4X 9Xg8P/rRj7CJ2Ww2mUxCw+uvv860Rs1ciI9+8YtfVFRUpNEN7q6oiXdpYb6l rqa9pXFpcb7X7dTkXGDGXpS3+yRmeTvaK3LON9WULS8udliMFbmZTCNMKeMj g9e391xLyhFqbGhAW5wbmppYXV42VBZVFWR1O6RNIeW9XOPa4uzqgstD/T3x aKQq7yKXmBoLKGIU4mUKaqmtdpibqGTY5y3POV9fXigehs8c1dNhl3cNq8AN OEYSY9CJyKtSckXe3Sw3PD0+P5fQl+ZX5GR2tVuTMpmEpyZrCi8Tj8YGfdPj gcrczIaqktDEeHx2BpEKZ16Xtydu1lfRBMksHifXJZaJZ+aTFHRYmytzMu3G erGrb1V+VofVpGCYAlS4va/b01RVFp0JxWbD+rICXUme2M1K2jJ7arxaFjM+ 5J8aHxFixFbFKiXXZlFSq+lx2hcXFnrdDpSY62tW5frR02ExSUpM0pa+rQ21 KHHZmr+qBGbo73YxyUdnwtFIGLPUlqqUTI5XF2RhanmnY5RcaNCUzspbFSd3 7aiLmKBJV0Uon4vHXNbmipwLRm3FDTFLS06LkVa0mQyIoWvwAZe1ZWVxITgx tlvMmrRlW3UZTZuZntAWZuMPynZgockxWlFfUTQubXY8zCUaq8vCUxPxyMzC XGJHzLVrkRBiNF53Ox6CpIrsCxaDVuRBTCl4SGXuxTZTQyI2y/s00GOTdq7Z o6TP04F7xyJhLKMrzcUsOJ6s5GpoAiWXUALVTAaGUNIgd6XaJnSBq7WZVnPY iK/v2lWJizkX/+nvdG7fcJD2ZGnSls9MTWKZ+opCOp2DFeKV+9FYknm64Nxx unJVlaNJQL61A67Y39ZYN9jXTQPbWhrdthYZTaWFBAT0gW532eWMwozjhooi 3HXY13vtZqiJEUb8/WKfXwyLoSZGBhXIpK6OVhPGbNFXiUGKSScCQ7Mhadsv aXNti5GrSIaNRpgfHObG+cTOTb9tMeu+LkkMLWIcRYJTagGCscXrSGgav9Xk Xexsb1XSDUUMn0obUp87Xp51Tt4hZUNdiULdTA5cDi9qqilXNi9OppV4GfUX vvggNDlOh0FWbc0NzCR4HeLPffJuQN6CWWZFabfosqyzZCOMr7KsDKVawYSz s7MEEcIZ4YPw9Oijj05MTMC9KOEv0YroMzAwEI1GOcBgMBCPcLYXXnjh4sWL ly5dSm7f0lR2Gf7pT39KEHc4HIQqghEXys7ObmhoIGBly4XYd/bs2UAg8NRT T/Emx4yMjLz77rvEJl4Ifzh37hxxTaPRAOTER+KUz+ejTkDi29/+NvWLw/hI bK8WDodtNhvhkug2PT3NJVAIqxMov/GNb+h0ug8//BDlBDteEHOJfUeOHOFI MXa40K9//WtYhWZSCccQPZO7dxl+/PHHIQ2uwmGghdhiWH0MQ6Aw4wQJyOjQ gLmuZmzYzxhkOvJ7O0++/5rTbGS+Lc48TbhhsupsayUq0WsM6vLsDOYNpp1D 4r2Lcn+JlwKYkS7hY5988klxcTEMhmeSi+GEACofAZ9nzpxRtvpinsCBT5w4 gbf/5Cc/IW2cmpKmI5GsCeKl2tOnT4OFlZWVX375pVarxS1xOegXr+YvyFdW VlZSUsLpmZmZTP5iP248mfephKxQ2pBIdY+X1H/U79UVX1hZkt5ZXVnSFp73 ulqJVrHZYFHGp71u21wsMjM91lCZ21RT2GbUri4vJlXEy1wMbhVdOAmeLWzP sepdhhl9zB5YANTEFP39/Ywy5oTh4WFegPccFovF3nzzTdre2trKBCLyWYF/ HR0dTDJ8RGdxLqObVmAopgv+++mnn4qtz8F75g2mCE7HFExfWEns5vzDH/7w T3/6U01NTV5eHmJ457r8HDDxrRA66SOxlfn9LQrxbqytmWo1xZmnmB+IZfJd 95XGqpKAXxLJJM+kkYhFrY213U4b8wmo2VBVCgE2VpUllb19QabpyfwzR4nj o4M+2IC4Q7fqSnKIUNTJFER4nYtHa0vyiGtdDivTDuCqiBHES7wz6SoQQ8AF P5i7gpPjHN/jbBNiassKmLtaDYixgw3LCwsN1SWR4LSiROKlqQmUSLw07Bd3 3UNT48SmpLwdG8TospuD8jZzbrsF2mG2bKquIIjzpsKZ84mYobKkPPt8t7R/ aICgNjUecNukzYipB+ZpriWIT9ua9G5rCzQFh5A1xOXNzhSgkjZN9vUWnjtu 0mqYjYf6ephvZ6YnMbhk55VlUM1jt3Dd+spiXvR3uoiV7c0NSRXxzsdj9ZVF lTtKdNNjo7ISCVa5rqQkFLQ26HlTKGmuqxbbV+0o2doa8nkLzn3JpTHLYF9P u+mGEpgBviJwS5tBjwdQQj2gxYivt725UXSQQneIqasorMw5T48sLy1yLuPV qC2Hmm6I0Wki4SAdJMREw0E6sctpI0VVixns75FASKcJTo6JO7HD/T00RPQy lXvardNjIw2aElmMZ8Tfa9RWQlZoVsTgTnVliMn0utpRDmBjSTxnRN4MV1gG SLM06ADdG32kr6JnFSXMc3SopEQyyyDIzcQClDbrNQJlcTNypcnRETIR0H3A 2znU58VV1DahWm1RzkC3h4FDntjlsNeVF5AKuVpbLn358YC8JbG8y3CA5kyO DOE8upLcvs6OleVF9aoGeT+7XpIFhpivywXpBfz9w/3eznYrJwKoAp7pWXyg z+NkArQ26RmVV6/s3mW4v6erXdrZFo6lx3Fjr9sR8PeRR4wO+cRmuNJOryN+ S30Nzg/MUw9tVCCTLnCYjbZGPX410NPJQGvRV3vaLKKXr0lFag62Ghvy48PW prr49jZ/yd2rGvB5xm8iHh0d7J8eC0yODvOOr9OFm5EmiF2GMc7iwjzzD4YV GWXyK7sMc3VOZCCP+n34DJbB/6UNtWvKmKnQI27UM8ro6BEZPkVJ76oGaiYX w6qYEd8gbSy+cIrBIlxCKfQ+AI8eXALfUKpViPfll1/Gf370ox8RRIgyer3+ mWeeeeKJJ5588kmM+8Ybb4iNQQlkkB4BhddA48cff0xkUeZMQbzU+dBDDxGh cnNzqYe4zFwKzV6SC6EKsMSYwGdBQcH777+PNYDYV155hasQJYuKipLy/V4g gdD29NNPX7hwgSBeX1+fkZHxxz/+kRqI72BwUr5/hULlzjCCCWecUl1dDQZQ M8QOon/xxRd8ypFwxejoKLwKZoAKHCyIl05BFYH14YcfJkQSc3NycmZmZpIq miVM04qsrCxE0joAxul0KtORQrwGTZHTYqrOzzLXaytyMow1FRXZGUwITO/M M03aMryOgUAWmXvqc2IQmUiPq53ogJMzlS3MxcXXHIfEe/vljohXvMDno9tl 7Ta+C7tpUYiX1A93ErcT8Q08NinDFSRWWlqKLzFYcF0SQJCPI2tra3Hgb33r W4wCEkBG355qBfGePHnyxz/+8Q9+8INgMAjO/fKXv8T9YFrGBYP0vffeIw/l BUMM36ZRjC+TyYTzi3uY4vsONfEypXe2mWpLM8Uyp6tXtkYHie86bfEFf69b k3Oyx2nWFmcuLcz5uhzgblNNgaOlbmEuphAvrk5Uyjv9BdC1uHBjGYZCvOAo IrED45oBwtBDOWo5EZRlmMP5WBuFzDPMco888gg5bFK1qoFPsRjDFtPBuuTO TDhkvox9GvvZZ5/RXwxS7EarmXy++93vMm+QTZNZ0Oq+vj4GO+OamYr5h0sj DPTF+CKn4L9UQlV31+NpLArxMi34uty5p482acvpF94gshgqC8W9FEG862ur hPs2Y31jdRmvSToITzBtUnVndXE+wZH5Z7+ENwKD0u0jcS5zPs5EzO1ss8B4 xHq7yUAcJ3AzKSliBPEipr+zI/f0F+BNPBLmcoR1X4+nw2JSxJD1OC3NbSbE lCPGXF8zGRhWK1mQ7+vmnzsmoH1lcRFiFHdgmCG7nHYiVDwyoy8vaG9pGh/y E0ABdXtTvbwd7Q3ORLbHZia0gWoSZxpq47HZXrcTYE7KxGuuq8FRsQO5gHSn Nx61NdWJ/Zev72xie20mOF1VmFWRfZ4Y7e/p9LS1SrSsr9rcWJfEOGwQUWwm BCM5ECPd0gxAGkkV8aIEqM4/9yXxfWpiFNqZi0aZ0kk6JCXhIEqk227mRmwu 33OO2hrrxI3iHSXXZCUFWZXZF+gdLABHoaSltmpzc2N5aQGuIyuhtrqygnZz 40RgaDIwQotEByl0B5y5rM30MliOMP5Bp1xX3GqbDU8LMbCQLMaAWcx11XA+ 8LxLzPSkJl8yC+TA+9Ad7hSUYQwnxEqD3i5IUl9e6GhpBJOmRkcIUjZjHZpV YpadrYg55mhunB4fazXo5uTNoMHFpHznUBIzl+DqJCZ4XSI2S15AtYoS6eb2 9ERV3qXK3EwyNUiM0yWz6KtxRUmJ3QJZzYam624oGZkYGaRdaptwJB2nLc6h Hq/biRlrS3PLsjL6u1xKykBZmp8Tu3WLraWhxG6HbQ/xyvlOI0YjHwH4Cc1G XWXppbNkDTCV+FYLUzNgmQavbG2iB8vIyy52iHfY5+2W9lOeJYuBqxlQMq+2 grv4DENP6MEyPa420h/8EK/DODvEu7JM12vyMr0d7e3SbWQzzoPDKCTJAfA8 dTIYIQpysVsRL5cj3+FTr6uNiYV/TdXldWX51YWXm6rLRgdvzITkTSQjDotx 9abEuzjP1alK2hrb1c5ZADAzCTBZW5pHjiOWS9EjzBVMGjRKEaMQr3ggjIi5 xF/xpI7knRAv3k5+hHvjDPXlRQxJ+pHe4a9BUyK2AaV3cGNmrbwzRzFsJDhV dP6kWFuiEG8gEHj88cf5789//nMIkBBz7NgxENTv98OBVquVeA1wEqw5oL+/ nzd7e3tfeOEFnU5H2J2YmBDrGAXx0kBxl4aqCGfUYzabf/e73xGsqYFPn3rq qeHhYcIfQertt9/2eDyEJ+CZi1osFnGPl0sT6KGCZ599lmBHlG9tbYUlOLK9 vZ0ISIwT1iCWUTMcazQan3vuOeiCqOrz+YiYfMrVOZe/YgEG73z++eeEvA8/ /BCiJi4TB1FOoHzssceKi4s5C3rhFCCEoJxU0Sx9hB3orH/7t3975513vvzy S+B8cnJSfQwTl644Fzuf+9M70pdWZXlum4WpntSsKjczEYvCCQxnj93MsKKn ZBfqI4mzNtQyfGpL86fGArjcIfHeUbnTe7zXdpe7trNCvHgmrgtZ/dVf/RXe Ts6FA0NcuBlOXllZiXP+v//3/7q7uxlNcCDH4MB4kVh9irNptVpGvRjmgngZ mxAvpzMeoUc4mQGCuzLc8FuGA9e12+2MJjwZv4WiOYBrlZWV4Zx8RGKovsdL XAhOBmamxiHe4PjI6GDv2vJSJDQ5Mz1WU5gR8HsNFTnhyQCfriwuMJHaG6st hkprg2Z6bEghXnJ55l4mf+aTLodV2EFNvIxN2k5DmDFIjZkiGHFMBQxJgJyG 8BokZjTRHbRaTbyoZUDRNIgUmzASaSl2wHoYoa2tjYQiFArxEdkolyCh/vTT TzEggY9ZguNJV2k7dv7bv/1bhjMjnTeZYUBo8ZWNGMVKrnofi0K8kkmnp4hr mFQOkc78c8eJtqsrK1Njw9Fw2FBVPOiVpvSh/h59Wf6of4BYQ/QkjCaVe7zX r68uLxOPYKqyrHMgCgAwNjigK80jQDDJ8LquspgJx6ApBrcALejR0qBTxAji vXZVFtPcgJhuh93apEcSyTsUMTU2AhnWa4qHentkMV6C3digj0vAeLuVLHHF qvxL5dnn49FI+eUMGHJhPjEn3Wga8Hs9ploNNNKs00AUTH1EZA4gagcnRhXO JEgxGYJMpVlnibbQfqfDCsUN9vYEJ8awj0lXBUuYdBqgAlpjFjXWVCjfkSlA BRX3d7krcy/oS/OkcF9TRlBurq2SxfgGujub9Rqpntoqb0cb7e1sa4Wykiri lZWMwI1lWWchZMi822lrbailO0IoGQ+YtJq+LpdJV9nf6aJ+lJC8iHUgaiWk JCipyLkAbwz1eSUl3R4wYy4eozdFp/R5Ovjb02HHIJKSNovoIIXuhBjOKrl0 FhsC/Jq8i5HQFJcj0GMxWYbbqKvgL0hDxzVWlQ72dTNm94jp63RVZF/AH2A2 VBGVsB5dGYA8u10t+preTqdZX02GYjfW0QXAPM1X3+MVYjAmfQSp0jt4i8Wg I+eSxIwHAEWaTPYkr6AoR4yxpnx5aXGXkjmUdMDe0LXgsYEezFItOgiTttRV 93nIvGvASJup3m1rQYbaJnj+2PAAKQboVXbpLJ7vajXpSvN7PQ6TtlLctOSK sZlwc60GUt1YW+V1eHIc+6uJl9SDAUL/ziditIULcWn6nbjMWZFQ8Ip8b026 AdvS1Nneyov5RHxNjte77vH2deNC8dkIkMmJ/t4uvEVKOkhDmvR++UsKKcsI TvHfAW8XYA+hwdsKZIIQ9L74EoGMDK+Yn0uQEw3LN8/pa3N9dYOmJDQ1vrG+ jtEYRKSNSiBTEy+VkOomYhGGDwL416Apxg40gaxKbO6MgGhkBq+ji0FfUcme e7xuu/SlBj1C3kFbyPsMlSUt9TW41iyWkXLlTZyHxId8RE4Gb4hRiFesBFCH XaHw9okXf6NfSLppBczP68bqUoH9YLYwDrJJFpghxRId0kPmTLGiQyFeQgzg CjQSNQhS/OUjghGfEl+IpxqNhth94sQJcZ+kpqbmzTffdLlcVH769GmCkWiC IF5e8OZHH31EpCMwEYB4TW1EHHFrBTYAdIn4PT093/rWt/gU5Ga+JV5/8MEH 4mYybTx+/DgfEb47Ojog5LGxMV7w6VtvvfXJJ5/wX2ENLsqJwANHIu8TuVAh AMCn/OWAL774AnIgPmJhauDqR48e9Xq9JpOJ6yKYEElz+JRwnJ2dfVwuoEVS ff92ZQVi57/gCi84F7ViqaRyzObGOtOdtETH18uwTcSjDHlLvXZBctdWh7mR iQ6cmJ4YI2kdG/I3VJV0tDaT844NDRBr/L3S0iDhDIfEe/vl/q5qYBSAbQwf JnCyJPwE33j33XfhVa5IMoWnicXn4luDpDxGOJ5xJ4Tht2R8+KT4nZcgXqqF WvF8ziWPg/qOHDkCwkGSnBiJRHifEUEGivtxWEVFBeMOMMaT8UyuLhZRqNfx euxGY3WBr9uxsb7qdVkX5+JOc51JWxTw95BwDXQ7TbqisaF+5CVmQyMD3kho otVQOR+Pqu/xMp+XZZ8nzCk/g1KIl5mNcS2W5yUSCRIBhl4wGMQ+DDomilgs hlTss8eSgniphwHI+GXgg+6Yi9qkKw4N0WTmEEY6cyOJsLx87ApjWQAzV8fy ly9fZlqw2Wx0AbMBWTn5KReltoKCAvEgIw5gihPfEN3fsnOP98qWv6cLTAUV pEjXboUnLQbt1ChZiIcABGMQ3bocdml97JDfUFnE3CJDy5yyjldauTE/R6cU Z56enhglNMCr5NfExIW5eE9Hu7SK22KECUHQtdUVQrB0j3Rx5y79jXu8V7aY wcounbM0aAmm8chMY00ZcxSQALQQxEneEdPtbKMDwFdJjLdTVKJSkmiW1mmc JgonorN15YVcy20zhycnCJpEzzZTPbGeKA/VtBq0xK+V5UXx4ymFM4nZkHDF 5fMd1mY8DYJqqqnodTsgWGJZIhoBcgREoVPCXW054VgoUQMV4ZhptrogKxKa xry0xVxfw/TLrCuJmZ8jQNsQM5dIxKLM1e3mRrEmVn2PF8SC3l3WFllJwHhD ybykJDZLNtFYXU5tNAGEbtJWjG3fOtulJDhtqCqpKbjMpVHitDZLP+sIB6Oy Eoxma6onWNNf1Gmu0zrMTcov/nZuqyKmHTEZ2HM+HnNYmuhlDDg1Ogx70ARy EAwlxPi6PAQgggudBdWoxEh5K6yrLbw8E5oOSkspiugIr8uBw0BQWEOIAUfp QboPYIYxpF+Hra+pxQBmWAYc4v3JsRGAFjzDqoAc/DPq7ycZQdjG2pqMvuXi 7t+OEjKs4GR9ZbG2KDs6E1peWuBC8mKMEP1FTiEpaayDxHBvlICgHRajWCes XscLndZVFHVYTNgWMmysYrzY8F66G79Nygtxx4f8jVVlSI3OhIElumkyMKwm XqqKzc5MjAxCbxitvqJYXsUxPeIjPSknKxE30hkCdBy9Q7IjpaieDsl1VcQb o1MnxvCi8PQEjeIfA4EewThkKNuLkLdGfH30jtfVPhkY8rodVKtA5ubGBjWI I2kRwIbjhSYnxI1cDIsRpGUethY0cC6GHe7vVX4lpyZeWcwoY0TKH+trUE6C Mz4yiCWFC4lL0NfkShhE+RmUmng5nUqoSlp+42RiKenzOOk4TN2srxrHwa5e ldYw93gMFcXMYMrEkrwHz2q463Lfn07m9/sPwk9I9i+HTyc7+OX+Em8aK1Sq PchPJ5P4NhZVljQkD59OdldF/cs1afKMRZbvygLqJyRI3+hNjN2dGOWXa1K+ E529CzFpUaJ+QgKUkohG9zzn4XbK9d2PAgBIxErj1JTMrt35M6xuoiR0x0qS u59LANhIYlbTIiaYuhhyKCX5vWsls3eu5PDpZPuLSTHYHdink911ue/E+7Uo h8R78Msh8e5TDp/HezDLtcPn8d6sHJyn4B4cJcnD5/HeGxnJQ+K992LSQrzK Ey9TKVSSxnhNi9JLfQek0O9/Fhhu55g7Kg+qMe9RuR1z3QuT7gOBKVab3j3X UucQ8biDffZcS9H/BV2kUsPXrgiTpr7nWlr691o6NoBLixI8ARBKy05nKWLM wVGiiEkRqA6OmDR2UOo2EXyYSiXJ9G1zRiVpIV7KwRGT4p5raIjFYqspFyoh TqVejyh47+zsbLpqOziFvCAajaZ+zB2VB9WY96jcjrnSblIqZAQxNtNYp1It HpWuClGYunOiikpupSp126ZF5Ner7G/S2y9/gf79SypBA/4PyaRSCc0hjCYS iQdDiSKG2h4MMWnsoNRtMieXVCpZlfcPopIUxeBs2CR1KpuXy8ERs79liB2j o6P7Ey8Ty3LKhUoQk3o9ouB+kUgkXbUdnEKP0yOpH3NH5UE15j0qt2OutJuU Cul0uj6NdYpqGZhprDYtzrl/Y5mgUrxE2kfQwS/CpJguxXqYw9PVvymKSYsS gc0pKqE5BFnBqw+AkgdPzEHroHg8nkolFFEJtaVSCW0BMqkqdTHUc0DEJOSy jxji8v7Ee7iq4S9ZDlc1HPxyuKphn3K4quFglsNVDTctB2ctwcFRkjxc1XBv ZCQPVzX8RcSkuKrh8Jdrf8ly+Mu1g18Of7m2Tzn85drBLIe/XLtpOTi/Fzs4 SpKHv1y7NzKSh79cu/diDp/VkJZrpQVdxO7t+x+TXuK9jvLkLa94fXu8HBLv HZVD4t2nHBLvwSz3iHjvrhfuBfHenZJ7xJl3IebgKEneM+K9X2JuQrx31UEH nHiVTRZusxwSr3jnVsRLJd1Oe3VBlrY4JxGNKAfEIuHQ5Lh4zTF2Y31V/iWn uYnXk6PD7S2NSrWiOc3Nzc8///zIyMif/vSnt99++8svv0TkqVOn/vjHP548 eZJglJeX94c//OHdd98VW0jk5ua+/PLLJpOJ0z/88MPPP/9cvecar99///23 3nqLv/foq/nKysr29nbxOhwOHzly5Pe//31GRsZND+YA5WB1QfzZs2cjkRt2 Y8J/7bXXxI5v6qLegeL111/v7OykQr1e39DQMDQ0tOeYzY11fWn+9MTYYkLa XkepZGtrc7i/9+qVK06LcSERv6lOPrWb6sX2r4fEe0fl/hIvva/T6T755BOA UKPRxONx/BOHxP9DoVBHR8cbb7zBR3V1dWJPk6QMGAwlsRtvb28vjsRYY/Td 2KRVJl6q5ZTf/e53vD89PU09HP/ee+/V1NQUFhZyPA7PhM8lGLP4ZDQa5dPs 7OzW1lbOYmCazeakegeKzXWPzVhbetHRor+yJYH6xvpam0lbX3G5zaRj1h8f 9jVJ+1M4V5YX25trh3o9c7FIwO9N7iberc3Nvk7ngLTJ5pbSHOH/6Dlx4sSb b75ZUFAQDAZRjqRAINDd3Y1BxLbI+fn5jCOOcTgcdAen8FchXuo5f/78K6+8 wrk+nw97ctG+vr76+vqKiop33nmHEfrxxx/zoqqqisHIRMSRDPBjx46dPn2a +rE2g5qPPB4PduNgLsecRr9IW8OMjDDMqbakpIQJLRaLpdEf7qioiXdrc8Pr cgz29WysrQ14O6vyL7boq8UzTqVdJ4b9uqIch7lpc3PD7+2qKczucliZLuKz EWUHiqTs4USBNqNhaXGBiYh5vrYkb2zoxlYIayvL5vqauvKCmenJ5aWFpuoy Q1WJ2CstuZt4EdPT0T7U38OsNTM1rivJa23QiUghb4ExoCvMdliatjY2Brwe bRFibGJYqZWgrc1kWF5cXJqfb9AUa4tyAtvbQyRisyZdJf+iM2FCVYOmRN6j J766vLS6vKzmzOWlRW9H+/jI4Mb6+tiQr7Y0z2VtFjmmvNePh3eQurqy1OO0 60sLBno6hRI1UFFVaGrcbTNT+dLCXGtDbWNV6fazgrHYrFFX0azToCQ2E0Kq xaATG1HtUrK40ONqn5CUrI0OSkqoUDzwX97/ws07XhdKlrsdNn1ZgbTf002U XAlOjrvtFg7jEli1saosOCkruS4r0VY212piszPRcMigKWk16Ja2n3qtpjvE dHe0TQaGeNHpsFYXXCasbN4Qs+brRkx+r7ud9uIntaUFg73dmxsb8/HYLjFX tsUsL0ZC0/qyQoOm+IZZ6D7E1FQ06zX0YzQcrK8stjbWLs4nlpeWcKS9Ypz2 ycAwrhvw9+Fy1ClmBsT0d7lqSxDjoHM72624n9hHbI8SIqbHLm2BvTCXsNTX NFaXhbd3i45HZ5qqK1pQEo3MhqbrK4pbG/UiSioycAa/t7Om8DI9Ozl6I4JL q4YW5qbHAjf+e+1aLDLT1W7lr2R8Qy0WHvH1KcSLQpfVDCnxz9HcuH7rrec5 nXZxoXV5axL6fUNeRUA92Nnf06ktzq3Ku9RUU05AnxrdSxSKvEhwqs/TMRsO xuT9zqbHR3d2oNjcwGi64txmfdWU3ASxB4TYk4JhhfvR3h5nG640Njw40O1Z Wty5rbEtZt3X4wEONbkXcft9HgSNAFuTXtparndnVlfEYHYGhSbvIrMQjr21 dfObPFeubA16uxgItqZ69ZbHaSTelaWlzC8+QC1zyMrSIrNBQ1UJvodzXvj8 /bHtzU0YStPjgYKM44zQjtbmovMnlWrFPDY5OfnUU0+h6rHHHiP+8pcg9cIL LxAvfv3rX7vdbkKG3W4n5v7sZz/jv3w0NTUFJJeVlX322WcilCjEi7xHHnmE w4hTg4ODFosFuxkMBt45evRoeXk5gRgeBhpnZ2eJR8RuYh/nEitFYErKM/Dl y5eJ2i6Xi+D1wQcfoGFmZgZmINh95zvfgdJF68QOrYlEgkoIZ1988QURk6ad OXOGqIrC0tLSf/3XfwVQi4qKqJ/rguiQPLWBCmIXOTq3qanpv//7v8WeWZcu XaJd/f39SRXNEhy5LtRBJOVT1Npstu2+3qbipaVLxz6qLrw0NR5orq2i3811 1a7W5tEh/6kP3vDYzPrygur8LGZ7crDRwX6TtlLamk3e68duMuDDC/M3dsk8 JN7bL/eXeCk42z//8z/jgR999BH0+9xzz4GguCV+Xl1d/U//9E8AGykknixO xN9wYFCNd5544gl8GF/ChwVSKrsMcwp8CyLit9TDcPB6vX6/n1ED1uKEUB9X +e53vwsD4/Mcxn8ZYhcuXMB7wU71LsMSl8ZnJ0b92oKMxXlplIEKuqLzg33u FYJZfLYy+8Rgr3t5aT48OdpQldusK3aY64DepIp4mYrx5/yzx6T9siNh0Rz1 LsOMU+YQkJXRR0bJYCcXEHvPffrppwxGxAwPD5NB03YAldHK6YJ4GUdOp/Pn P/85M9Lo6CgzBujOkC8uLoZm+S+MyqQBPDOxMDUxWhnIVquVUZkvF475t3/7 N65LL9B8DIVBCIvkFIpCRj2XBpKpLcVvIVMpCvESJR0tjflnv2ysLoV2lhYW ANe6isLAQL/cR8t15YWwFnOFr8cNTYWnxvk73OcF1ZKqnc4AttJLZ8suZ3jd jtDEmL4sPzw1oSvJJYQBFcO+XmNN+dToMLV5PU6bsW6or8esr1HECOIlSrY1 I+YY8ToSmgK8B/u67cZ6n5y/I4ZLE2KM8law4hJ1pflx+X6LoiQ6Eyy5dLb8 cgaZkbRdQmwWXgXMOAaMpyoi1HC/tI9Vt8PuNBt5x1xX42lrJegrnAnsAT+F F05aG/XQhbWhlua3mRoCfsksAKpJVzEy0MeJPR1tptpKUNyoqxT3ExSgAjIn RoZKLp6pLryM4MBAX7OuatTvAyylbd3WVkEO6keMUVsBrIKOfR4nUTKpIl5p U1d9NUpsjXUYEHgY6O7EJmKLN5RAqiP+PmwllIwO+pnhgbc9SsaH/SipkZR0 jgz0EiACg/2cJW8wt9Lb6aR+Eg26CY7qaDX1upzEdNFBCt0tzc9xSpFkFsZm dGlR2lxY2lxPvscVm0FMBSZq0VeB6MgQG435ul3tzY07Yq6QRg2UXDxN9kTb NzbWoIj+zg7In0rWEON24CGkYDSty9Ha0drS63GC6G67mR5XxMB+LbUaiAJr gHYWg7Qbta2pbnxY2jgVlkOMsDYJHe46NjiAJOypVjI65Cu+eFpbmO3v7Rzq 6yViSsasq8EnIVF40maslzYs01V2trW6bC0YWdkGWsjgQmRewz7v4txcJByk B7EtvtfZ3nr5+Cf4eVLmanpfk39pcmQIbgTMOJ6WKsQLEkPIpBKcm5idwZ3m 4jHGGoZl7BCgabgIH7wwVJYgYz4RszfVo1DqQfm2Ki82Ntb5CIMwBtuaDWVZ 59BPL4SmJmKzYc4l0UvKIYCE0VBZTCbI6IYSgbSdXYaXlxgXTAsgBMZsb25w WIy9bictTcr3HOC9EV8vVyHLwGnxOjVkKjecEUM+Anhz3amxERo+GwrSIupk DPZ3u8U+JuQmQAhuz4WUJEsRg+lmw9P4A8bh3NDkWDwyw4vw5DiVtzU3zASn sMy1q1dBcbATPBY7KYuS3nu8tAV/A+PxPV83GXcOboxzyrcIdpIUpimG/DV5 W0COUaoVxEsQIebSwO9973vEaP7Cmc888wws+vTTT+NUBC/iLEcSzggxRGpe E7OI70RkZc4UxEvwggw5hcP49NixY4RyoszFixePHDlCPdQ5Njb229/+trKy kr+EwhdffBGmfeONN5599tm8vDxRGyEeAcggfBPCsrOzYWBwF64AWQFUca0n n3xS+TIOFCe8QuyQAHGTeEpYBHFpFPHupz/9KfEXmKe2hx56iKtzMFQvTErT cnJy0NbV1fX973+fT4GW5G7iFdsT0+ozclFuHauId7GushDjkyAzP9QU5zB9 FWWe7my3YHZm4wZNibShfG2V29pccO44Xsffno524tTM9ERdWcEh8d5FuVPi JbhDPontoh5cd1QU4sW38VJGBG6MY2RmZibl25W4N4yHvwFpuA2gBYjyFyY0 mUw/+clP3pcLXLenWpktNyHep+XCGMEhcUvqr6ioYBwxWKhTZKMMDZCPccp1 qZaBI7YypBIBk8qqBma21gaNtuj8xrp0/xC8cdsaDRU5TTUFo/6ewow/WerK G6ry4eF2U625vryltnSgx7W2sqwQ79bmRoelOfvUZ0yPm9tfeKmJlyFMS2kR g4s0MxgMMvrQgLBHH32UbJHXMCqf8hH2EVmAco+XUcbpjHrGOAcD8zSQMZ6R keHz+YD8aDT6+OOPczoWIJ/lNdZg5DLkaTWGFXeAOR2zcOlFecN0LCNSaXRS CTNDT08PL+6u39NS9hAvJnXbLJiX98PTk9rCLHHTZnV5idkbInJZzXZjXWN1 GZxG/HWam5pqdhNvJFxy4ZQmLzMaDoFSgJx0bnkB4RxnAjk626TbaDCwzVQ/ 3N+biM4ScBUxKuJtyDn5uafNAlyBUsxasGKHxaSI2Vhbc7Y2t5nqG6vLEWOu r4GBk7uIN1x84aQm7+INEl5bIwgCTkl5huxy2n3dbtSirb2lCRgITo7B4cAD oVPNmQLt+jo7IsHpVoMuHpsl6ANj1ANUS7skL8w5zEZmUUL/XDwKa81s3xvc 5syrE4HBovOnaGkkNA1qwtXE/WZ9NS2VxDhsA90ekgXmXknMyODUaADTJXcT LzN24fmT/V1ulFgatIlotNfVTpxNylyHEuKvs6WJEyUlMVlJcK8SMIPmNFSW cAoW6Gq3oqSltooscnlxgf+Ci9FwUC8paZwIDE0GRqhHdNAO8S7MmXSaokxJ jLTT9tamnMtUiG8EaKMQ42hpkMUYMAtmpE93ES/4PeSH4Q2a4oWERObz8Rj9 KN2alm/b0vuD3i44R19e6GhunBwdBmjrKwrBHjSriZdErPjCKdiD/Ig+mkvE oCBfl0sSE5ySxSS4uiTGZCD3sTboaf5u4h0oPH+isapUMkuni9Mls+iraZqk xG4Bd2dDU3WSt0hK4EOMrLaJvA20FfIxVBRzwIivT1eSV5p1lpSBepTN6TCd 224hAyJNaDMZsDMIp17VwDABIB0tTRiN3IqqEAOBV+ZmNlWXcYrYdO/qlas0 EFthc3ygv9O1Kd/kVVY1wKLdThsm7WyzOsxNLmtLs76KhkDy4PFQv1foWZxL wMYgIhkumVdItcswF2LIFJ4/DveSYTHe6WW3rYUUT5xLD5LR8CnOCSqjM/YV 4hXBDrDvcdoZiVya7BVjNusqGzSlVQVZEm9vVyilrhUFwPPGdjRUr2qQ/NNh RQPJFJr568EwFUX60vyaomw4WbgfBsTC9JRyaz2pIl6qYvpVIq/ypeHtEy9T JbMWUYy+Y8CWXDpDc8qzMxhNykihC5imEF9w7kuMwz9N7kXxhYtCvKDdc889 R7XEVjQUFBR8+OGHxKy6ujrocWJi4rXXXoMDYUViVmtrK3jMuc8//zx0Snyn EvU9Xhr4y1/+ElvhkG1tbcTo0dFRwha82tjYyPu/+tWvuMqrr75aVFQEQHIW FRK+jx8/TlgcHpYmz5GRkUceeYTjgdjz58+3tLTYbDau9corr0QiEcIZwVTM JzCtxWIhYnIK4Q9JRqMRrhAUAYTU19ejgSN/85vf8A748emnn0LjoplTU1J6 gsHBCd58+OGHiY8Gg4GDBXsrNEuopRUc+Y1vfIOgDPmLdR3qY5aXFugLOuX0 h2/WVxZr8i967K0k0UzpuqIc/KGpppxcjFzVZtQXZpwg/Rzxef09XfQXA5xz OVIknofEe/vlTokXb9lQlbteCaYQLzyGE5Lc/eM//qNOp8Of8XPewas1cikp Kfmbv/kb6K6wsBA3xrVwS3hvcHCQaR9KxGMVJQrx4mMCpBmJEC8jCE9jroDo AOmZmRmv10vuhhszMJ1OJ1yH63Ik9cOTeLLEMNvESxJOiGe2ry/PDk6MzEUj 8BWzx8rSfE1hhr+nw1hTuLK0UFuSubiQ2Fxfa2/RG7VFrfUV0+PDCvFK6xDm 5zqsLbmnP4cWhB3UxEujGIAMFrJd9ECtjD7x0EsAlTHOR2SyDHMUAq4kpMlt 4hV9RBJKRszAx6qci1lIbzEaNMu443SGPCk5x2MWjMO8RP0MZ4yMQU6cOMEc 9Q//8A/FxcXvvvsuYrq7u6mN7CApz65UQlUI48Xd9XtaikK8tHphLkGsyTn1 udfdPjUW0ORmMg9IB8zF5xJxaBD2aKmrJoITTeZis/UVxQPdbiaTpGotAU4d nBirzMksu3xubMhPcs2R2uKc1ZXlWCQ03OsFaSIAVWlel7PNZW2eGB406ioV MYJ4hRjCdO4p+peoVgN6OS0mhIEu84gpK5idCbboq4BPWUwUMTD2biXr0yjJ Pl+Rc0HcICX9x6MJw7OhIARL/VRL2GUmhA3Ab1NtBWAQVN3jvXb1aiwyQ6yH ZDrtFmg/MOgDvAe8naBLeHICCiXWtxq0cAXGCU2ON+s1CXmdhgJU8otVwnrZ 5QwaDqW0NuoJxzScsAgf9nmctA6IQgzMCTkM9nYhL6kiXllJGFNIStpbbU31 Y0MDDosRQGUshFCi16DcUq/rbBdKxtAGNe1VsroKM9A70tfH3k5rYx36bygJ T/e5nc5W4/iwH/bDLD0ddtQ6LU2igxS6QwxAiJjizNNDfd3+nk56AUNd2dqi gyQj1FYFJ0bNdVqkwnu801RTRr7T1mzYK6bfW5Z1rqGqJDYTNukq3TYzAA1r wa5et4OUFi8iw3K3WSRY8naDbR2tJnIKtZhZmU5LLp7parfZmmrHhgeB7aH+ HpWYMaARy5hlMeLut1oJPMTxmIXwR+fS0QyBZp0Gv6WDvC7JV6FimBNopCF4 vnITXshgHsMzSc2craaSzNOQOQcwanBRAqsSFyTHbmmkUdel+wAbeOZgX4+a eHkTm7TJaQJQDZp2tBrJL6oLsga9nVI6JpZ1bWz0ONugLC59RZ4Sk7vX8RLW yS7jsxGyM5CMf+ArpuvvctEEcc+ZwvDEtqODPjlzkWreuce7tEhqJlaAkKb5 ujwkF6SKIwO9SfnGBR6CD8yGQ1wdhnfbzWLBgyhq4sVJOBjixbfhc2wC6GJM MqDxEb9YwCN9dbexLrW9uUGpR0282IpLoBzWZbjRECzJgMI4jBe6iQZck+5v S1btsDR7pbT0htkV4hW3X5Swy2thrtsnXlrFhEZ31FcUcVFtUQ7/ZRqkFXiy XzYXlmTqq8y5QHbGRXGA3DNH4fmkinihR8iW4EskAm75i4Bz587xKWFCLJB7 8cUXoU3xPT5hiwhCYMVjiemAIj2mEC+vBcG+9dZbBKOXXnqJcwlY4KvDIaXn OTk5vAnHEom++c1vgqZWqxUqJniBlKB1Ur4VwzG8A9wS10AFYhkvQF/wADLv 6bnhNsgmyFIJqqifU7guEY36+ZS/k5OT4CvRkACKBcxmM3iPQqoCPwig9CwC CNA0gat8IJe3334bhEiqaJaIcPHiRbopKyuLUE6F1CMWDyvHrK+utJubGAfi KwlmdW1RbkNVKRGHIcy077GZ5+cSw309ZHZd7a3akjyrQTcRGGZoyKt8TXPx mBhEh8R7++W+r+OFLXE5MkfSwFgshp+IIUAWZrfbATBGCt6iXseL84s7sbgf nsaAOnLkiEBTQbyU6upq/ByM5KPy8nISyTfeeIOzeE2mxjwACjY3SysbuQqu zqcMWwYaSeWbb77J6UnVOt6N9VWroVJbfL7NpJPvcmgTs+EWfamuJNNjb1pf Web92tJM4v1VKapO93S0jg32NVTl83rnHu/WJrN94fkTpPbqVaDKOt7s7GzB rih8TS6MaHJDJgFGN6O1r6+PY/ZYUhAv1/X7/QxnGsJw5jVH8hGzEK1mtGJV amACEZMn3FtbW5uUSRu4JZP1+XzMS4h5//33MfvAwIBYX8EcNTs7y1mcTkcA wyQF1MbwT6M/3FFRiJdwA2sVZByvLc2LRsLyvZ2TTVVlY8MDbrslPDkOD1Tk ZprrtUSOboetMjezvbmBsBuaGlfW8cpLZ2f0pQW5p4/2d3WsLi/DJ1UFl0EI 3m8zGVYWF+sri2oKsyeG/fOJhK44V1eaGwlOKWIE8SKG+Fhw7kuoDIpgatLk XmiUY0qHtTk8PTHU2w3HWgxaog+yEdbe0igi187d5tmZ2pL8vDNf9He7Zqan ck9/Acy0NdcDloRL6e5uWQFhNzgeCE9P4khN2vJoOAiQEC4VzlxZXiIoF2ac aK7VMCtyXU3eRaJYbDYMy4WmJsCwqryLMPDi/Dz5AnEQeBZK1HdWYVE+Kr10 FlpIRGeJ9fqy/JGBPrAQMdFIiP+KJazhqXFtYbZ0UyIq3S7bUbK0CAng85h0 Ph4HRFHSZqynswA5bNLT0VaVd6nDapJurpqbqgsuSzcP9yq5Mj02WpV/qezS WbABAmmsKiN94PX0+Ki434vNUSK+OKanMAuCRQcpdCeJMRkQ01JXgxEaq0pK s87SHdQDc2Lt7g47Yly2FsTQNdWFWT0d7SDdnjurU2MjGsRknRvx9fIv/9wx esRts4DcZLKkMHgjWQCXkMVcNmor6VZcYnlxQS0GMsR1zdJK7Jiv20OPYCsI 3NNmARFxV5oMSy/MzeG01EOvid9z7SgZHdbkX0QJ7AclGqpK9OWFvCYxgfGQ XVsixVCghT6qlpWIbEKRgeeQdNApplrNcJ8Xy9DjLVJCNIoNaT7dgGMP9XnL szOsDfpwcBLj15bkDfR41MRL5OUSvi7XxtoaERnD1st3QWkLXTPY1y24FCCv lWBPWkgDx2IuEFRNvFx3xOddXJgbGxzAzvyDFakEDKMh/FdcC2ZGM6kTnum2 tajX8a6vkY/0ihW8k6PD48ODy0uLktPKq76xCV1TlnXWbjKMjwyhQZN7sc/T AfkLb1ETL1nVSH8v6QMaBCL2d3aQdepL83EkeopjaLWxphzb+rrcyjJdNfGu rSzDwyicj8dsTXosQwJFRmBt0gOf1MzMgWZyZFqEM6jxO+3PalAvJL62fbdK ELXy/pXtY5SF/UkV8arfvNXCtj2C1T9RF7em9zyrQdz1VV7vqU1cl6APS6s/ 3fNj8Jv+dvimPxjfUH3BetOz1G/+2R/CS7nb9vH7P4dBiN/nGLkjrm5Xu1fY VekqN/GEQ+K9o3J/ifemH93FMxyUU/Z5VsNdPKVkz7MarnylZvU7V6/s/GxB hOxNeRZV/3JN+s3LxKiyiDe577MalHGEDPU881WRypwmKO6rx+xz+j5lT21K JXdXWxqL+pdrgkDi23gjC9vV0ddUX0Nc3T2/qZ+QQKRUr6C7+pWZUP11hnri Vf9yjbMmx4YT0ehXD9tfzC4la2uDKiWKwf+sEvXvxdbX1ojXYkHsTZXsVHL9 urpC9Q+jmF8XF+Zhj5se+dUWKVfZrWQVABM3xO5aifxbqnnlt4S3ryS5+5dr iJkaDQBUqqvs8pbbFjM3NuRXf7qnj9Rirt9azOToiLL48zYts1fJfEL87Eh8 uL9Zrqs6aOdZDXLlyqBW1bDrouq/V+S57vqtn9Wwy893P9ZpZxqhwfJHt/N0 sq/ONurpSK7pTh6PcH2n7Kn8Vs9qUHexDGhqZ7u6x+y3EiO0br++pg5Jgnb2 GOHw6WRKkZd5p03APSqHz+M9+OUAEm+K1R4+neyBL4fP471pOThPwT04SpKH z+O9NzKSh8/jvfdiDon361UOiffgl0Pi3accEu/BLIfEe9NycDjz4ChJHhLv vZGRPCTeey8mLcTLMVspFyqhRanXIwoxKxaLpau2g1OwdjweT/2YOyoYM70V PtjldsyVdpNSISOIsZzGOpVqmSXSVRtVieeepVKY98RDLfb59K4rFyLTMqd9 jYowGn9TqQTT4YGpmw4ZjI5UxKRLifCE1M0CTSnr4b/uSoQYksoHRky6Oigt NgGbt3+kcPdlSS7Ulkol4mZm6lQmxKRYyV9MDDPP2NjYPsRLF8/MzMynXKgE Rk29HlGYHEKhULpqOziFqPRn23U7x9xpCQaDmDS9dT7A5XbMlXaThsPhNI4g dbVMAumqjaqoMMVKsBvTxa1UibGfim2pOS1z2teoCJMydaRYDx6YuukQg5Ok KCYtStCQulloTjQajUQiD4aSB0/MQeug2dnZVCqhiEpSjC+0hUpSjylRuRwc MftbhtgRCAT2v8cLM6d4qzkp/7A6jd/JXr9+ff7e7LB2f4v0U9A/96Xw7Rxz R+VBNeY9Krdjrnth0n2+6E+x2tS/7FYKClP/rln6dcmtVYnvxFOpX3yDnEoN X7siTJrid7LJNPWvWGKRopi0KMETxDMWUqlE/Fwxxa+qD44SRUyKX5ofHDFp 7KDUbSLWAKRSSXJ7m7PUFxJQSVpWNVAOjpj9LUNcPlzHe3DK4Treg18O1/Hu Uw7X8R7McriO96bl4KyePThKkofreO+NjOThOt57L+bwl2tfr3JIvAe/HBLv PuWQeA9mOSTem5aDw5kHR0nykHjvjYzkIfHeezHpJd6psYBJV2lrqlte2plq pJ2VFnYArNftbKouE/vTLc7P7Wxyt028Lpfr5MmTk5OTpaWlp0+frq2tpeO0 Wi1vGgwGDmhubuZ1fn6+4LrW1tbPP/98aGiI18XFxZcvX1bvuUbTCgsLT506 lZGRkZbVF18tCOjt7RWvaUJBQQF6hNSvFpqpPPlfXQjflZWVCqVjVWTPzs7u OWxnd4n1dS40NTWVSCQ8Hk93d3coFNpzzJUrm26bZSERX11empQfNC2KvFFO mL++bre6p9QFB+t1t6+u3HhE4SHx3n65v8RLxzGCampqeNHe3s7o7urqOnbs GN7CYGeYFBUV8VFnZ6fiXcgIBoOMkZycnFgshrDz589fuHBBfLkmiJcB5Xa7 OaakpITQQD2MwTNnzpjN5paWFrGlC9XieByAk1MJI1Gv1/f393NWbm5uICA9 wFwh3itbm36vy6wv83vd4oGKW1ubvq52W1N1l8O8ubmeiEbaW2pHfN2bG+v+ HldoMoA38je553m8V68EJ8ZmpqcUOyg7UNDe6upqBr7dbme2ZHLIyspCGEow yKVLlyKRCNML8i5evDg4OJjcfkSkQrwM54aGBoYz1puennY4HNJGsRMTWI9Z iAbyJtViKwYg8yTzFcOWFxiB4czw5L9cOiAX7Mb7X375JR/xJjo5nXMxoNFo RBvTSGZmptVqTaNX3GbZ+zze8cBsaJrGTgaGmNK9rnbx+O7r16/FIhFrQ+1g b9e1a1fDUxOWet3YsF+K1PL2qbufx7vOYfLjxLeG+no4S+zzm5S3Ver1ONqM hqXF+c2Njc42i8NsFHuDJr/yPF7CitiwYHE+YW+q7/U4t3d2QEyYaof6uhET mhy31GvHRwZvXP0rz+OV9rVfWW5vaeIwZRdU5sYup81tM68sLy0vLrhsLd1O ++b6+hX5Z0RqztxYX5saDSSi0tYh0Zlgm0l66L1QIj0UenIMbZiC08aHpZ1n xfP5k3uB6rp4Hu81eTva/k6Xw9LEFL0jxmH12M2rHL0432GVxWxI0XaXkrW1 qbERoWQ2PG03GoZ9vde3lUxPjKIEO8hK/HZTPZb5qpLr28/jFUr6PB1Oi1F5 2jDW6GpHiYVBJ21cZW32drRtbu8psPsRuJhleC4WpbuHervNdTWyWa5uiwlg iglZzOjQgCRmaoJP1+Vvlr/yPN4B6qQqTnGYm8SOw0kZITplMejksI7WZq+7 DbdhDtmS+2jP83jn4lEuEQlO202GESwjT7M44fRYwGasx6W3NjdGByUx4anJ m5hlPiGZ5RrestLrdjhbTcrThqWdoNus0gbZKJlLuFpNDA1xn0GRgb/L40Lr MDfGZpTnhF+nyfOJmDLisOvU6AgIhE9SCe6EcoV411dXfF1uKrE26Hu4xMYt t57HDlwuPjtDo8CqwEC/tGOZDJm4MA2Bx1oNtXQuPRgJTd+qHpyfiXRhLo6k gL8/OhNSIJOmiXqw/Iy8TQxmj4aDYusNbO7r7rQYdBzDnMy8HZ6cUDZTTm4v JJAdwGeVxOg626yJ7angqwX7dzlsXE5s9SjeVMTg9p3trVyOA8aH/Ldc2ybt 6D3U2lDLdLGigpw0Ei9D4/KJT+hEJjeaM9DtwcjziXh7S2NBxnGxsRqjEmPS 8NzTX9BBdGj+2S+VagXx+ny+hx9+OB6PP/roo4QY/o6MjPz6178mEDzxxBME hT/84Q8EDmIob46Ojj799NOEjBdffNFkMvERoUfacHCbeJH34x//GCh1Op0E IL/fz1WohEbV19dTJ5GIoENcxuGJj2JbNMxIVNJoNMKZsQ+RMTs7mwhFvCsr KyM8YTexqRMKCViiFR999BERDTYg0iEAugB9qY0DiKqgCOj+0EMPIaajo0On 0/GChvCC5r/xxhsoTMoTPg3/u7/7u7y8PM4ltvJCfKTQLGTyL//yL2+99VZf X99nn3124sQJsQOd+piV5cUzH71dV1GI8U21Gmm/73brcL83PDWe+cWHAz2d fNSir+5x2nGP+GzYZW1mBlhdWRrs6+73uLSFlxfmE8lD4r3Dcn+Jl4Iz4DxA 6fvvvw+RPvXUUyAfgHr06NGqqqq//uu/xj85BmwTJzJe8LFXXnmFT1966aV3 3nkH9GUcqYmXUcMpjI7jx4/DkByJ7+GlXq/3yJEjePvbb78N9OLnYmtjWvfu u+/i/+StH3zwAW7P6VxIId6rV7YmRweHfZ1V+WcX56RAgOPpii70dbVFZ6YI DfrSS/2dbQtzsfDUqEGTa64r77QbgxNS4qYQL1GMeSbv7LHqgiwgRDRHvcsw zWHk/va3vwVx33vvPcAVOzCU0MlQZVhhJV7/5je/wVAzMzPk0WIDNYF/mOjJ J58ko+QYxhdNZsJk3qAS5pzf/e53TAjPP/88DWcuYoC/+eabTE2vvfYaKcC5 c+cY3X//93+PEdDAX97kxJ6eHhIBrpWUd1Rn4uLS1EBtTEr89/4SL6TX19mR d+ZoTWF2JByamZpgPue1eCY/c0ijprTTYa0rLxgd9NWVFfR5nNriHKZ9gktS 4czr1+fnEvrS/NzTRwlPs6FgVX4W1daVF8pIcBUE0hbl9LjajNqKwb4eQ2Ux TNVmalDECOJFDGCcd+aLmuKcSGjK1qSHVzmFICLENFSWEBzryvKhqbrSfCFG bM2gUhKvLcmjRRwJTDABdjttuuLcpEQL635vF1f3tFla63VQX1NNeUerydHS 2NfpIuAqnAmWdNha8s8e4wDAicCNWiZPsWVVfDZi0lZAy2jz93Y1Vpd1trVy pLifoAAV7ZqZnqwqyCrJPM21wNG6skIQl/Ated3GOnOyQVPSabfwTq/bSW20 F+hNqohXUmJtlpRoK6bHRq2N+vZmScn0eEAoMdaUu20tTTUVQH6DtEewFSXw 1V4lUxOa/KySi6eh7jFJSQFKoBFiNMA00ONpwCwoadR53Q6TttLR3NjT0SY6 SKE7gj7myj9zDKnRSAhk4uD68sKZ4KQsZqapuoJsAgHEFMQQgBqrSgODPt5U iyEkVeVfQsyAt1O6D9bbDTwAz0k50fB1exo0JW67mcZ6JZ+phIc7LEZghgvt iFle5qz8M0ebdRppx+cGHezRUlsVklMPxDRKlpHEkCIZNMWwKzbEniolUt5U lXex9NKZ/m4XHk5bcGCuK631RUmXu0FTSkfbGvU9He1E1bbmhl5pE9sdm8i7 +OUDsROBYeg64PdByGRtOGdJ5qnJ7T3OaGnJxTOTgWF5e7s8X7ebhivEywEo YUzpinM4Bs4kmjMrkhxB8t0O2/x2ljQ5OsxQwkl4x9ZYRx+B3IJ4RfpgbazF etRPK+orCpkwUTgfj5FsSn/lu5HkJnA1g4KRxdi0SXsrj+zsMry8xIggtZye GAtOjJJE+L2dg73dYi8zhmF4chybwNWcjgZDVUl8O6NM3rjHu4aqBGIaarE8 UwpMQnv5h2z04O1YRmw/tLQwx9VRS+KjbLOiiJGG8EBvfUUxB0yNDZNEw+qS ZeYS9Fd/lxtoF91Bmtzf5WqurWJYKWLSSLxcoqYoW5ObSSKAcq5VU3i5MjeT 7Eyr2gOUwvzDkVwU9q4pylGqFcQbjUaZ/Gng9773PSLIt771LYj3ueeeu3z5 Mn9DoRBxZ3h4mCNfffXVs2fPiv3oxf7CYifTpGpVA8HrO9/5DjGIwwi74Chx kJh+6dKlX/3qV5Dws88+C5S+8MIL/H3kkUfKy8vBZiL766+//swzzxCvxURB zVzu5ZdfJq6BpgRxPvr8888Jmlwa2BbXgsmVb5aJ+Fz0scceI0T+6Ec/AhKA c+ohOKIfqoe0Canwww9/+ENiIvoJoGKuBmIJvkAIcP79738fVbB9cjfxIgNT ZGZmnjp1imDa1rYzHd0g3qVFhh5RBne1NOiYlJqqy4ovnvHYzcwtU6OB+ooi hgN+ztRRkX3eYtAWXzjV6+7IOfUZnqMvzVuUh8Mh8d5RuVPiFamTUu56ZYJC vPg2vgTu4kUMELH3NJeD63Ckjz/+mGHFQIBpxW9gKSJnJI9jIECJe6rdku93 nT59GrjFq/F2nPn//u//YEgqxMnxZMYL74sRAf3SEEYKII3DkzxKg12+q6le 1UAEsdRX6IoyNuWBv762atIV64ozXVbDZMCfc+K9xuqC9mbdfGLWWFNo1BZa DJUz0+NoUYiXGgiLEC+RSNlvS028zCSgJg1HUkNDQzAYZMigAak//elPwXXm GVJsGhKJRGiI2HlcEC+amfqYHziFqWNgYODb3/42Q/Lxxx/HpOTONJZhyKTE VABUM2CZOjAF72MfWs3g5bqMUwYpqTFmxywMeZhWZBPo5GCqQgkvlP/enQOk UhTi3VhbM+oqC859CQqK+7rLC/M1RZfFTdHV5SV9WcHG2qqrtcVuqm+sKqPX zPVa8AOcSCp7+0oMM5Fz6nPwgJg16ve1NtaKcwlYOBNcBGQCG7qSXHtzw1C/ NxGbhTwVMYJ41xGjLS/IOA5GriwtgEwLiZivxwNlKWI219f4r91kgDNlMTXg t1pJaGo85+RnDVVlgj+3Nje6HfbWRl1SniFBBUKVtCdyWQEcNT7kB5CYM21N 9YKmBGcSUuvLi8qzz48NDcyGQ60GbTw2C+oI2iG24odL83MQFyxka6oj3vEX vk2qOBOCH+7vhb2J+3OJmL+nE6QEGwjK4K50/9Bh9clAoi8vcLQ0jY0MQkpw flJFvFAK6QbT9djwIEosDdpEdNbrbmcO31ZSLfYX5kRaISvRi1tzO0q2trA5 qQTYQNN8XR64DiXw4ebmBoYCTeEE3oGE281NUNDk6AgtEh2k0B1iyGsqcs6P jwyK3b6wNjmRuCkaCU2D4oBae3Mj59qMkhjkgej8U4uBh/NOH0WMuDcIw0AR nrZW8Zr0YbC3k6aRIACxECBmwVvIO1CoiJmLR0GLitzMiZEhDrbUa+ficfoX 2KMeLNCCZeYSMKrdWAdN4XLWBj01qJRs4mko4YC5eIxcALaUzKKv5iOU4LQc MBua1hNVzY3YBMvYjQa1TQA2c52WDnJZW+Zis/Q4QIuJSLhqS3LFRrpJ+Qtu EhOkciEgkChMzepVDdId2sEB+pF2YS6OhGbpStqIM5MKie9EJNbq7GC0gsRO cxMetSH/UkxZ1TAy0OvtaJPuSNtaGCMtdTVmfTVUFvD3geXD21+yw9JkguQ+ OG2HxTQRGFJB5jLpQ9H5k87WZiCckcJVHGYjhKlMIPQgvQx/AqsYLbaXeG9A 5rCvl5yFFjEDkHeAzZBJi76quiCroapE2QGQ2YMhgAxlq2L1qgZp2HbYAW8A myYEBvpwV5OuEpcALBFGXBAGJMFBLZSuiFGIl/BBhSLmMrJEgpC8E+LF4Rm2 eBHQS0rIpeli+h1/w9TiYNFqZrzizFP4D4bQFuUq1YrmEESIU/gPRIq8wsJC YjSoefz4cYiUd4ggMDDXffLJJ4mnxBHOIuIQ3Ak6yRu7y90gXo6nHgESNpvt 6NGj4u4TAchoNNLk559/nsOoJCcn59y5c7wm9PMmoaesrAwq4B0CJYGP/3IV ghecTGQEMtHJhYjsBFMxUSNJoCk1E1I5uLi42OPxEAp5E/CGfoENcRX+Agwf fvghAZe4rBAvzA+lA9L/9V//hWYaRfM5MbmbeNHc09PzzW9+89ixY9BIR0eH Mh1tE+8CUzcTeMYn75Jrl2WdY+7Cq0k8YV1GiklbQdqFf+J1pMbM3j0d9oHu TsIHn9ZVFOH8Gxvrh8R7R+W+E6/4ohwn/9///d+SkhJecKHBwUFcDgwDxhgp //7v/y5WKfDpyZMn8a6f/exnpF24OhlZYvv7xKSKeMXB8F5fXx+VkIGKpwoD hKA1IEcexxUZFD/4wQ+GhoYYYsgQ7MfQZhTgmWriZbysLM4bqnLD02NAr7RB JO8sLdQUnOvztEG/q8uLuuILiwsJGbEaDJqcZl1JaDKgXtWwtLBA1pZz+nOg V6lWIV6GLdaAJ8vkEggEaAIHYHOxaIojGYAMZ4YtDUdqUrWOF9moxVDkqoxl zmXcMecwUWBPpgiG6s9//nMGLzWTMv/yl79kKqBnKyoqNBoNhjpx4gS0/B// 8R/MA0xcYDOzB7V1dUmb3grEpSrYWCFesb7iL1xUqxquLy3MQwu5p74gBM/L 4VjcU8UJmLSZUpYW59tM9W67xVBRDKIYayoIQI1VpUnVWgISkImR4eILJ2sK swODPqAOQNUW527IER2uAxi4kK44x2U193ucM6FpwrEi5saqBvmbd2Ay9/QX fZ0dVAJ+dDvbIUMmKMQQFpeXFqAp6Ih4h5immvLw9MQeJfBY0YWT0DWhsNcl 3Tu9IuVNV6GOXpejy2mPBKfrKwqJj/7eboAKtAY41fd48cxoZIY2ll06J4GH sS4SnOpqt/V3S6mWQDvIkywA6IUKEtEINozKX2qrvzTfkJbodBZdONVYXQpS cnA0HCJY8/7i3BwwQOXUzPzstrYM9fVIyxK2gUqlJNygKWE+90oIVM/xnRKg Mr62eI254iiRvoM2oSQ+i5IaQSC7lMg3coslJWVSEmExSUpqKxmJ0BEyEMP8 jxKXzTzc5x0dGmgz3Viqp9CdJGYmhOVLL50dDwyGJsaMNZXBiTEuRAdJkIlZ AMvGbTHRCGwAL9Go3WLW4ISi8ydIWJYAS1tLe0uD+DpgATFOO91Et9ZXFLus zUO+XhITZINYXEIRI602CYcQXH75nNflgIdBU6412NvFxCPEgNytjfpty8xg q0Q0ukvJ2mp/lxtvwZEGujygCw001WpwfokJHXYyC0IqTUaJDF19QPgum1y/ jpNLaVGDTpN7oVlfZW3S68vy4VIwVRlx+J7HZhHfEchLKeaAxl3Eu7kx7OuD dSXiNTVyZI/D3qStqMw5D8bjpYIGcT8EQ7xiRZaoXE28MC3jBYfs83TgUfyz GLRuu5lBTVt2iHcugTsxUpR61Pd4PXYzeCDucvt7uuijHle7WJsK+PGCbIV+ T8pLW3Ee9aIFNfEO9feAhVgeUoV4EcP0YigvYrAwHHAVcQoHw8aOlsbY9vbx auJl/iEJImWTmuBqJ6Gmm5hbGBTgDQkv8UqsUFtdXiZ1YuqQtveWyz7EKxZI 3D7xcnJl7gXmhKr8LPoOpjVUFmnyLpJt5Z/7UhgHt2EyISskT6Gn6M3znx0R a0sU4m1sbPyf//kfoif0+P777xOznE4nL/iUOEJsPXLkyEsvvQSU5ubmIhuY BA6J2gRrQgkhBuUK8XLAo48+SlD+6KOPCECEJ+jxnXfeATUhXhr+wQcfgI7E MpfLxXXFkgm73c5hkDZhmkpCoRCVwKWvvvoq0c1qtSKJFwUFBTDwD3/4Q+X+ qslk+sUvfkFtnEtIBXHhWGAA/XzKtfr7+x977DGCJq3g6sRBGvLMM8/U1NTQ hHA4LL5izsjIIOw2NTXRNIIgfzkgqaJZojk1Y3yaxrU4nnidlZWlPoYQI8/t W6Q5vMC9daV5jPqZ4KS2MJtx2mqoTcxGyLYIQKTeTdVlpOEj/b3OVhOTJ/GF rtlYPyTeOyv3fVUDKRL+CVz953/+59TU1Ntvv42H42awFoNLfKUOg4ml70l5 MsGBL126lJSdh1GGQwoAS6qIl5SQajkLcmbokX7CiiAiSAkuMpOI7+6ZRoA9 nJkRxGDkNQ7/+uuvnz9/XiyRFcS7vrZiqa8wVGQ3aPLmopFWQ0UsEmypK6v/ /+yd93Mjx5m//5b76aquyr+c6+qu7qruzuc62+cc5CDJtpIlS7IcJFmyHBSt HFbazLTMOYAkCJIACeaccwJBkCBBEkRgjkty8X16XnI45AYtF1iJ2i+7pC1w MNP96bff7vfpwUx3TnyVJXNx3m81JZVmx9da87a3Nv1zM02VloHOJk4Gj3Xi RRbjZ2bcRf6TX3VDBuIVgBROoN89+eST9COIlI7/wgsvMIYwnQSG3377bb0h JEboTzUwo8RuDB30MsYE5suMQpiRSS59H76FTjkY0vgKvGd6HtL6JvkzXIC1 dEmomGkCxuEEZt8UhwyXS9UCYzLRwGjMDhjuAG9sxdAUQa+4zaQTL2G0vb4m I/Z8dvxlompZYXbsB3+vLM4nFIJnUy4nbJmXGANqLgT9NVZLfnIs8LaytCTx eu/O6rVd/+ysJSc1+cKHoNdCMFiYnlCYltBcVQ4EEnABj9zEGI4QsBhksq9c LkiPd2oxImQgXk1MdUaMEgNmQGg58ZfNGUm+WQ/w4Bl3Qt2IKc5OWZwPVJea 85PjbAXZV7U5o36PF2JBLUoa7aVA7IU3/wZ+AHguxyDR0DMxlpsYDcYP9XS4 HEMURAh2jQzOTk0StXXOXF1egq/SY85xLZd0NtXnJFwG3jzuMaKte8xBdCbY VRYXEO8qivLyU+MYS6lByMCZ8oB0YVo8wbGjvmZmyl2QeoVoCHLDM2CYZ1wX 04mG7CuXmFMIFOlKVlBiL0VJMUrc47DunpIJV2tdhXtstKHCqikp9M147GZT QcoVlMgvIEYlbpeDyUh69LnORpRM5KMkK4WZCznAclMulESVZKcO93a5hjUl uel6F9PpjklHPWKiz6F5bGTAnJ6YeP4DwHhsuJ/pA8r5Ni8ptqpEiSk351Lf hvISPMc1MmS49b2Np/FVRsw5vAuguvzeq0IvY8MDiAGiEEMRAJJzuB8xfDsx OjwzOQENHhJTXpIRfVbd55kc76ivVpYpypt2j7domfCtiAFHmaYVpF3BksKo +k14pmmihIFl2j2RnxKH88DPE84R1dCiJCeNKQC4pZTkZsgD24ZbzX4iaVFG MkzeUl1uyUqlxYuykp0D/biumpir6cAWwMZ0o8ZaCIqXF+Yy4epqaThMvFu4 aLv2hDn50OL0tZ62RlgdyoJUxc9p9/yUK2X5meOO4ba6yt625q3NQ/d4XSMD fe3N837/UHc7mvmvq6mONqKPMweE2DXxV2EA5lA4j3Owv72hGtvqkLm2utLX 1izT3tGBPlxiaWGhr7OVEjnCJAsrpV7+mN5Ni/NvVtwF6FrDTpWMxEuD9rU3 rSwuQB303LzE6KaqstbaSnyvudoufDs1PlZpMZmSY3Eh/XlgI/HSBXrbm8iK oYO+RtF2c15HY01lkQnOAZVhHi7sbm5ghLGZsuie+kAX2TfXNtbXGV7kZjvN hDfKs+7M5eUdqJB2R1r9jqC1BS7KV/Kbpk68fJibmyNbBj0gVlpfF0kUwzMh w4O3EjY3CbjyLWr1R2H1t8AWtNX+oVYO+v1+PpC5bEciZzqdTtwVuAUM9Pe/ iFNEJf25aC4kZ1kRbltLohbjUJDx8WmKk1vQIQ2VuUqWkhNrS1ZSQTmfUmSL KI6Ii8pmUqH9RTIRL/d+Qwaala4R2l+njgTGoNl4DidJpyBb9UF7uE7ekqBP MKfjIPkw+skPUkHfHK3DyfI4zdX9m42nxHus9Lmv1SD7/oS0HxpCWuuLj4U0 lpNz9B9xJKlfkPcdElVer9ftdos36ms16NnSARnbOQfP5FuO61FD8hR8klXH +ZYzgUDJ/OAer3rXaUVBBXkqUlLOv7YC6nql3O3trfmAejcnpHJe39xYxzGD vtmdnW3jPV5Gm/6uNrfT8GLm/loN0kf233K6JjtTSN0xiE+7t7OppSOW1O/x cq1swSPrSUqPE1staHscbGoviez9dKU97RzSuiRfSaeWI2TIB06j7uSmvxXO QYYCDsrS6LQXf34uy0QY31zb0N6oIu5olt9YWlxYWghSAf7b0W4mLAao+IZc BbtuGxbN0O+sAr0BnxfSkONbWxvyYBtDDSYLacaUF3m0WzHL+gN7ocNvrm1o L1XJ7SOiBqMWQKA5zKZ4wkLAd0Mxh5TM7SnZ3d1ZW16iOiC6ejeNRsHrVlfl V3i+xbOJSrqSgzur2l24/s7WuWnP3vGFoHr9SntQR72tdPUq1L33EtPVrYVg QH/MxngLkYPTkxPyLITcDJSXxdTPH3tiVpZFjIbZuhijksWFIA0EQ+pKNveU bOpKrhqV7NxEiXsccthXsiZKdnQlKyvykOeuhtn8YTSLfj+TspQYLaYDa7CQ iulbG1cNZtkXs7moxOzcRIxLHsxQd++XcTr1Spf2/uCmNjIsHxazdGMxwUBf R4uAExS3xPizsWeZ3T0xQRFD2+tijEq4anoCJS17x9fW5GUWLr6BkqVF/a2o gxfotCd+VTBdWRLDLgT8YlIwTBpUngqmoTHy9tbW8uJi0O+TKhjXahADik0w I/4mtZgPqvcE93rW5ubK0sLq8jIf0EYzcZWReNUl29sS6NWdcO3dOqiYWgB/ u/sW0PQsUDbVxPKb2mC+B5n710puopNM9kf7HfKhd1A1sqWO1Eu6hig0Eq8u BjtzPrbc0Z7X1y5fEjGcoh7xnQ/KhFE3hU68xtLJms6rzHtNmZc21S2DKhB0 /fDCF6erk+kJe8rrJCc5na5OdvLT5068kU0nf3Uy+fXT+O3p6mTHTUdWJ1Mw eUfrLB1ZE+zqHTnkkdXJ7kxMRJQcWhNMxdmdO1By7fDiV/KL/xdXSejISlwi ZvdEiTneqlyRaqDT1cluISbMYHcyVycLJ33uxPuFSKfEe/LTKfHeIp2ux3sy 0+l6vDdMJ2cV3JOjJHS6Hu/dkRE6Jd67LyZSxHst7CTZhp+PJPU4jUYU91gi yuu/2IZzzrGSTB/Ui0Wn6TbS7ZjrbphUHjCIYIZ6tlva0y8RSfIuWJiZ0LsZ Lm6mSpYFDse2+w+j/n+UxKQMHWHmE5FwsKPtkx6mmIgoka2K5XfYO0676uf+ dYDq3lCii5Fft+8BMRFsoDBtIs8ognbhZHJtH5vDjC/yblf4MUUg84SIWdPS zcRIXL418aJhZmYmGHYik7m5ufDzkRQIBDweT6RyOznJ7/d/ar1u55zjpqmp KUwa2Tzv4XQ75oq4Saenp30+XwQzvBvZkhUZhpkJdruFKun74dg2IiK/WElM Ko8fh5MYwyPVvmGKiYgSee8jzH7K5YiZnZ29N5Tce2JOVAN5tRROJkHN+alO mGKoEUrCpzJykFc5ToIYMe8txBA7nE7n6VMNJySdPtVw8tPtmOtumPT0qQb9 29OnGo6bTp9quGE6Oc8SnBwlodOnGu6OjNDpUw13X8zpc7xfrHRKvCc/nRLv LdIp8Z7MdEq8N0wnhzNPjpLQKfHeHRmhU+K9+2JOifeLlU6J9+SnU+K9RTol 3pOZTon3hunkcObJURI6Jd67IyN0Srx3X0xkiXd5aaG3rVlfG1nS9tUt45+e CVd3S71srqEWrtzfjU4nXqfTabfb/X5/R0dHaWmp7EDU29vL59FRteqmw+Gw Wq1tbW0ie2Jiwmw2C+O1t7dXVlZeM+y5RuJMri0vL5flNCOeBgcH3W63/ifF 5efn68v7H0kE0xv2LEzR3Nysf8WfXV1dshWpMek0ywfsw/mcMzU1NT09rYOE fs7uzs7U+NjmxsbW5qYsfbmX1FKoq9hoctwpiydfnzCg2zmypS10eUq8x0qf L/GS5+TkJD5JC9I1wEK6Eh2kpaWFr+bm5rq7u/mAzxj9EIepqKhobGzkfHyv urq6rKxM+Fl/h4hsOYjX8dnn89GhbDYbBdEf+Sx9ky7c09OjFi1fW6urq6Os mZkZunNTUxPhIGQgXpxzdsrV2143Nz0pGjgyPTk23NM67ujf2d7e3Fh39Hdy ZGdne87jXloIbm9vLQS0NV0NxIsbLy2q5VX1uujEywmIoV5UlnIZHKgXvQPx FoulpqaGsYuDDCZ8lrWsJenEiymoXWFhIX0T/YyEMrCQYX9/f319fSAQIIeq qipZfJiy6P6cSX05zpHOzk4y4TRaAT1Yr6ioCLPIK0jBYBBJ/MmgF9J67tjY mHF0/cySkXjVsrcLwdXlZT4wUKvlcLU19iURkId7u9RisNeuYfbBno75vUZR sd7ImTSc1zMlmftnZ4Z6OvXRRmvrCcdAz9WrW2pfhjGHc3hAD9BG4t3V1uBd XVHOc3Vzk+Ay7R4/ELMqYtRGsStLi4hZCOwNdDdUsrW16RzsG+zu0JVc3dqc cjldjiFxuQm1se+oLCWqViY3cKZaNTQYXNfG5NXlpdHB3jltRdyQ1p2XF4JU J+ibk2WBHX09ssZv6DqgYjSWrWa3r16dmXI7h/plmBV5iBnXxThGdDFHlCwG A3vr3i8vOQb6fLMHSpbmgw61a7NvV2s+lMj6sTdWMrenZHpqYgwl+5u68tXU uKZkRykZ1/Y71scrI93pS8WqHd+mJvs7232z04fF9OIhSoxvDmF7i9nu7txM zNrKstpOa7Bva/NADHaYUGJ2EONyDE/ti5E2MopZmPdvaoEefxgd6DWKQSc5 a2J2AkpMt7467hElAU0JzjnjHh8bGtDvJNBSKHE7hveVDBFhRYlxPV6yxdtH B/rWNL/dd8KdLUPXpokxBY0IHXnGXVgGr9CJV7nluAvfpvncY47tqze9lcEl 9I61lRVaisrSF2gIgUyKwEWp5nBfN/accA7Lavw3TOiXbXCxns87gzYdMtWy 5HOz5OMc7JccyFkbIpb2nMftGurtDPq817R1fcnHiHxKjHKP7blpTUxvN+5k XPX6SMImdMOR/m5ZIFq3nojhwnHHsLZfWw9uf7MpBkrQTCsAnFcN1osg8VLT tKizHY21NaXmWc/kzOQEfZmKdzXXaXviKPF03rb66vaG6pSLHyGjsjg/9dLH erZCvASL//u//yOm/OxnP8vKyuJfBDz++OMxMTEPPPAAEeHFF1989913//a3 v73yyivI46uLFy/Klrt8zsvLM+65Rp733Xdfampqbm4u4Z64g4lk1XeXy0Vu +DlBh9DDVUNDQ7W1tTLD6tKSXk1CJ19hLnSC37CBvO6H2t///veEfjktPj7+ 2WefTUlJQSEBjkApxE4VAACiP0D+29/+lqJnZ2ehYpiEbPv6+jDjn/70J9k+ g2yJp1/60pcgZ9k+gNgqnGDcc+3f//3fP/zwQzR/8MEH586d0/d9O9hleGX5 3Bt/qi4xyyaYGH9izBHwzjDyZMZenJ5wleZl9LQ0eLQIgpu5RgZxJ7XAtd83 PTluTkuQxbdPifdY6fMlXtLHH3/8r//6r16v94033gCxZDM+eg1uWVBQgF/B V2fPntXdmx4Bs/3iF7/And566y2+onPRX6Rf63uuffLJJ3/5y1/w0szMTPJ5 +umns7Oz8V664d///vc//OEPQDX94l/+5V/oUBAg/SIqKiojI+M3v/nNmTNn 3n///V1tuX7xZIb0/o6GtjqbKfkCyMqRtdVlc1pUc1WxY6CTIxXmjObqEu/U uHfaXZoTX2vL6+9scg4ozTrxAk4EoIzYCwUpcYQwqY5xl+GnnnoKazzzzDOM AL/73e/eeeedpKQkOld0dPRLL72Unp5Of0TkI488wqSYjg/9ikh9p7Zf/epX aWlply5dwkSvv/464wkfzp8/T9/kKwYQrr1w4QJFYF6O0PHf0hJl0f2//OUv MzgUFxfn5ORgij/+8Y8UiiUZ32h9hoWHH36YC7Eqk1YOvvDCC9fPcz+DpBMv Jp1wjmREny1MS/B5p2GGurLi3IQo2QMCsKkqzi8vzClMT5yZHLeZMvnTnJ7I mW11Vdf2l7kIqeXfV2ptloSz7/W0Nqod1pKiGYjKzTlyOwKQyEmIriouqC8v mRgdMSXFlBdmdzbV62KEeBFDcMyIOksR8EBbrb0kN70oI1kInCGLYc1emKvE TE1Y89LJ0JyRJGvO60qAAbUP9dn3etsblxYXGyusFZY8m0ntaMxY5xzqMyXH cmFLbcVwX1d+ypUKi6m7tdE5NDDrceucCQoOdXemR5+lODC1qdJWnJNqy88S 6AWzVZ75WWUF2VTHasq0m3PV3sEaeh0AFb0+4Md66VFngRmQkuIwYGNl2TVt H67RwT5TCmLyW2srQYj8lDi7OY8PIQPxwmND3e1pKDHnEWcbK2wlSkm2oB1K 7EV5ZftKSvM0JUV5RGejEjX+BHycQ41G+roByHzKtRQ0VZVpU8Ut2t2UHFdZ XNBWV8kEIT/1SoU5D83SQDrdIWawqy0t6py9KBcBfOYSS2ayECNFILKsQBPj HCnNzeA09BBcmEYdEuOfowrpMecQQ0PjFWUFObRUSFtImalEPmIs+cDDYHe7 ElOU19fe7BjsY+ZlELPR39mGbWnB2anJentJSU46RR+IKczlz3LNMiW5aWRS WWSiZY1KCI62/MzMmHOwmds1SnNAKS3VdlGCPKWk2NReXz3Q1VaQGk91HAO9 RptodcmqLjW31VcJcsNvwDZTpNKc1KA2TNHWzM4yY867x0b93hm1HWF1+axn Side2guz4/YZMeexFeIpHYfnf8L65NioPmXDsFze3dIAYtHjOhpqtq/uES8f GB6LspJz4i832EupSIPdCgysr61uktXmBpnIfg0QbHdLozkjcWx4wO101Nks ZGvcc43LS3PT+zpamW9SQboAvioup2aa3e1WU1ZVSYHbOYIG/D9weJdhKoVT IbsoMynrymXGCjoXRW9qWwsxLyDbhWBAAiLt1dvWbM3LwA30yZouZiHob6+r yrpyCTcbHeqTbS/oaLRjwDuLMHF1tWPdyBA+QF/Q/TYUYeLdSL74Ua21iMkg f3Y21uYnx2Klpupy+FYGTElYHqe9pk366PJ6tkK8QCnQyKD3wx/+kOD77W9/ m0BA0CSewooAHuGYQMOZTz755JUrV2QDXwIuIZUwrY+ZQrwEr+9973uE8suX LxPUCFXEQQJ0cnIyJEwYIgZRCiVCjN/97nf/rqXCwkII4de//rWgLPYhYhLB CXlEzEcffZSiyY3SX331VVChoqJCfP6Xv/ylfmOBKAkMcDI5UxciIPEXhv/B D37AkQcffBB+KC8vJyJD9YRRypW91dBMFAbjX375ZYfDcf/99xOgweyQgWax ElUmiEP45EC9bkC8y4vYuSA5jqBTbTU3V5bTHASvjqa6uDNv9ne0FmcnF6Ql ZF+5hJ8X56QwIKgdonu7Yj/8e31FaVF64tLi3v5up8R7++m4xCs7c+npjn8X 04mXuSH+DFbRI/AcnJ9vAWA6ER2Er958800c5gjxgsf8i1tymlGDTrxckpCQ gGfSFyBepp/Ms0pKSmA8QJE8OUgvA/84wuBP74AnIUOTyUSGHo9HI4eDpxoY qVoIDGlRsmcWA58lM7YsP8U51DM9ORb/8ctVxdmD3c1+73RpToItP6nWalpe mhdkEuJlsCQyEuOGejv0O0I68TKNBWvBTnounQWp9C86HR2EiSodU34nYh76 17/+FfswL+Cc0P49XtQODAxQTbo8ww49kZGETkrfp2szk8W8DCYMIEwrGCti Y2MxNcMCs2+pNdNkioZmoVzmwogJaAm4lbtG6GS6Ojg4mJiYCA8zGpDznbV+ mEknXkzKKJEefW6kv0dMSrwrzkoRyCQ2WbJSOIcADR0RlfhcAYrUVRLlQ/uc SW6eibG4M29DFPNB/9jIAO3MtUWZyURinKmvo7m1rpKczelJ5CM3iMhNFyPE y8mQSUb0OaBieWHemp8JMQ50tlKcLoZg11xV1lRVbs3L5HyCi2yGqyvhz7gz b1VZ8uWmK8HdOdwPq0sO3S31EIV/brY4W+1zykiIckiJWDkzOaFzJlEe/DCl xI07huemp2pKzcTlnrbGPm1zLriXcpcW5puqbPXlpXVlFs4n9MuNZR2oIBBq mnT+fTA16J8DaQj9YAPoRbxeXV7qaq7v72wFgYqzUptr7GMjg0ACM46QgXi5 0JyWgBKwjfxRQhgFePo7DUrmg42Ve0o4n6AsZK4roUMD8InnP2issnE5xALC iRJaByWdTXUDXe3aBs2pLdXlwIN7zFFXViINpNMd1xamxRdoYmTXBi4py9+D TLnTAonBrvV2xBRjFo7QXhDUgZitLQQknfugqbJMbubjVBiWc0LalrKwBCxN FYqz03C8CccwLFqqEdHctMcgxpufipgrE2MO7/QkLsdUi4qQeUjbDFcTE8As gB9iEF9jNfu0O6u6koHOtsRz71NKcG6OtuhorNXMYpI9wuDJoZ4OHID5Di4H Fo47RkTngQz/HHMQ5jV8iyUHO9uYhQGlrfWV4Cv0KzbEFLQRdsNWhekJ5eZc uV2sP9WAPV2OIZSAgi019inXaC+9praCME2naG+ske6J/+M2+BJwiMtxwpa2 EaT+VANo2tvWyLdkkpNwuTQnjbp3tzaoDX87WvStvZlotNdXaXetnbVlxePa fWydeGl6UJ/zmesxP60qNdNY4/t1Cam9jAepDsCJq5CP/tt96PBTDWB/T1sT rTDQ1cp0wNHf01xV3mgvLWAWY8lT+zzuiZnBgC01FfrPH8anGnAS9FMv1PZ3 tFCRnpZGWkFm4njLVe2nCno6ZdHThUgl6cQrdzb0sKvun2jmOt4uw2trWD71 0hlsy9yHjpZ15SL+hgbj6Oqbmc6Ku8jUG8fGGfRspTpEBIIyFXz44YdHRkaI qsRuovAzzzxD9OEEAocQLwBJpNCJl9hxPfEi76GHHiJgUQviL1lhNy4hABGm cXJy5jQomgANZPIZriZ+cc6ZM2e4RIwAfBLxKRGcqKmpIWLyJzr5FngmK/F5 6Fd/hvYnP/kJObz33nvV1dWERY688MILBERqxGcpt66uDmYGXImJb7/9thAv pvj+97/PJV/96lfb29thCSKy8ImReNEMaROFqRRiOFMfjvaJd4muMTrQd+Vj FXoyY89XlRZWFRfgabgBHarCnBv0+7qa6hgcEs6+y0y2pqSwr7OVHsG3XIvj 0dNPifdY6bjES2MF9hOQdsc/auvEC+UyU3vuuefwRvwcMOPb2dlZXC47O5tZ Hh6FczKFxHPwIv7FLb/5zW8yders7MTJjY9Q6sTLxPBXv/rVd77zHRCReRZ0 J7+SQHRwHdnyJ3NGysV7gTrwWIiXRHfGt48QL4OOun+bm+iblU201aars55x U/L5vvZ6W35K0DdbmHZpeTFIdGittZXmJpQXpnk9bp14tXsy3qLMpNRLH4+P Dkm2xnu8YC0VZAKbkpLCv0K88lQGcI5C8qE/FhUVjY6OMgU2m82hw7sMA+r0 TSyZlpZGfwduIVshXgYc8vnxj3/81ltv0cehZTojYwh2MGmpr68PkzJGcQ4C GLgwHccZkfhKbEvrMMqRG8MOOA393lnrh5l04sU4RCsCdFrUJ+DW5sZ6ra24 o7FGTlOQmZ3COK8RrwaZinhN7XVVRuINafdYetuaEs6+x7fOob594k2Sn3EJ nfvEmwjxDvd2Bm5EvEqMd6YgNZ5JjXOon4gG8TJVBxRDB/i9Dmc2VZdbTYp4 KU7iplEJU/74T96tLinc3dkGlgD4Ze1HVY14G3Tibdkn3lJFvKVG4iVNjjmJ 9fkpV4a6O+rLihXxtjZRkZCGeYyrSwtBMOCAMyHe6UPEKyWCsikXP6orKyUy HiLeleUD4s1WxOsaGXA7jxLvzs42SnITo5WSns46myWwR7ytSgnEa9knXsV1 QryWI8Qb0rABwk+5eAZuBG73idckxNslxDujEW/NTYkXqOB4bkJUfkocRdA6 BP3hnr2p9NzMHvE2VAhkKjGKeKvtRuIVMZgu+cJHeAUUMtzXxQxlfU2B3z7x tu8Rb41GvE5HaV66Il7DPV5NzEhOQlRh6pXh3i7sPx8wEO8efiviZcahEa8X t/QbiFcpWVrCdCmXzjTarf1dB8S7o/3oT0fQiVextyLe4SPEy+f1lZWB7vaS 7DSrKaOxsqwsP6sgLb6/q03uFUtaXpxvb6jRnhXZhXGnJsYGutqMxAu2AXVI pRYYhylnb2tTWUF2Ztx5SgS05GbmzvYOF1Jfrt3Sdj1nXDUSr2Ogh9aksvj5 SF83/1WVFILuDJj4zKh2g5qEz8CHAPnu7g7ZbGuPt+0R78oyREcL+r3T3S2N Gl0vdrc2ju7T8qxnsqG8lB7KZ4CZr+SxVUlG4gVxO5vrZLbIZ7Qxhlgyk2lN +HZ2au/pUCrS197MyCBbk4cOE+/y0gLtwuWUSKXco8PtDdUFaQlFGUl1tiI6 hc7J1BpbcQTflyM68arbxYbIqz8md/vEu7K0xKCBg9ET4fak8x/g5xkx5+gR 6dFn5eErehNzZ9qdyQ6qGIii3ntNHgPTibe+vv4b3/jG5OQkQZlgQSAgRsCK 1Jcge+HChRdffJHQ8Oc//xlWRPMTTzxBLCaQ9fb2EpGJ6UeeavjBD34AA8Cl MCGRi/AEHpOzxWLhTPLnW/4lZt1///0fffQRQYpMCE+c09PTE9IeLSaIEyLl To7dbq+trZVbOu+88w6BUu7xhrSnGp5++mn+JR8CIhDLZygCDAhpxAsqP/jg g9QRDRwh2lIdYJ6oijChAogawHa73UA4MojLXB4XFxc6TLx8Rdv9/Oc/p+6g NflIvDbe4yUi0HFSL39iyUquryhlaGWMZSTPib/U19FaVpBDd+5sqKHV8BYG IhxJjaJlFkW8OWn0MvXE7ynxHid97k81REVF4Z9Mpr70pS9BUDgtrvv8889n ZGRAffQm+Oqf/umfBgYGuARXkQdQcfuQBnt8kF/8BU114qXr1WiJCRo++dhj jyUlJXEhzEaGjANwIz5PZ+FMmJApG/9SKD30Ay0Zn2pguG6ttTZWmAvTo33T 7sbKIviWIw0VRcVZcXPT7qKMmAZ7oS0vaWNjfSnor7GZOurtFeb0qYlRnXjx 0oHOVhgs7fInREmxg/EeL/2I2nEm/Y6OCepDng0NDXApdYTbsQ+9ElXqnQK/ n6EvtE+89COGlFdeeYWhgw6I6eSphvLyciaYTK6xAJWlCImYzBqYDoe0KQyY zRjFgEMHZyj7yle+wvmYVB5+wIAYn6uYLzAi0W0Fzh9//PEwXza546QTL01N ECEGaXfOOyuLC6Lff729vmZmaqK9oVbd/7FZbKaswvQE75TbasqqKMo1Z6hH Dgg61wybdwTm5mqsRZmxFxhGwJK8xJjK4nzGn4B3trHCSoiETAAJ4tGE05Gb FA0VdLU06GKEeBHT29YMJyPGMdhDEcVZqebMRFAcQgNNa6xmSLsgPWHW47bl ZZK/OTNJSGlfyW5gzquUxJy35qZ73OMX3vxreUEOUZvABHK4RgZNSbEVljxY a6S325QSazfnwupjI4OI1DkTOIe7ClKvmJJjYQZwtCgzGfxwOQahTTgBnC7N zbAVZLlHHTZTJl9d/ywB1IQZOY5ZqksLJ0ZHtIco8oArz4SL2rmGB5SYIhOj NLMAyrKbs+U32QMlK8sd+0oI+lABjVWWnz3uGOpqqSdP2LvUhJIcsJBJhKbE dAMl7nGUZMXtKTGlXKm05DVU2LBqR30N5J+XFFNZZEIVEcGUHMd0Y6S/WxpI pzsRA+4iZrCng3CTfOFDrDcJ9iDGOQJkWjVruNVTDellhdl2c97MlJtpi1GM R8TEnqelQMqod1/HniP9PeQAZAI2ecnKLHAaDWdSD3vkQmvOwX7il1EMDZqf Gocex0AvrIgeYtyEc7irSYlhNgRfqUcsxhylOWllhTmVlkNPNZAVDUHmNFCt rWh8dJh6cRVGZhqFA6jHTvaU1A52t1EQmYweeaoB7LeZGyqsOLxyztQr+Buz NsCb+Z26L3rtGlV2OYZy4qOaKm3M9RRPVli7muuOEK9DEa9V3bwtKyYf/gOz ywuyqRouJ4+nqolATiplEdZBX/xZf6phj3iBzKZa2I+upD3+2gU/UzvEQwXi XcgeHezlSGttxZTLSRPQa3TIVHOxpjrcnjNxBtpuMRigt8r9YSZZ+alXMmPP M/vjMx2TfMhWv21iJF5cCDMy7+Bfuqo5PQHlzFyweV9HszzyQb8jE7ylQau7 ZHId8dZQL6TSFrmJUbQpJqrUWoqG3tZ+/kNDTamZrzhTH+gi+FSD+n1wcgI/ ZPAJKdQfw2O1XzeuMUP0zc7IOZOuUSyzsryoneOkZ0mldOKlOEIS0aqvr6+q qkpuekxMTAjH9vf3EyYIu8KiKpOpqZKSEtHQ3d1NrD/y5hpnko+8qNLW1sYH YhDRTQ+LxcXFXq+3o6ODoAP3yg+OLS0tVqtVv2FL8CK4o83n81EWvs0HMrTZ bHwlb+VIgm/J0OVyIYOyuIpv5QFdIJaGa21tRRJHxL3lLTwKkt865fUiVIlt 5dFi6EUmIMY31yQHYiUfuJayKNp4zu7OjrywxpydDxTN0DE21E9P8XtnxtXD RUGiCv6Me6yvrajHvN2ujXVIWb34g1czbQ6dPtVwzPS5v7kmLkoXAETVCyPB IDCGb0ih/MnB0dFR4/OinD8zMyOf8RM6IF3myJtr9BE+c63D4aAj4Ja43MjI yOzsLG7MVZwgtEPs4DheTW9FDN5L55LiDr255hkf6WtfnPfvqjdYpzc31z0E 6f4O3JUejMeODnStrWgZLi0sBH0bayujg93E7iP3eGvLSgY62/S66G+uyY1l qQUnMzgw06R30FkwCPLUGxmBAPqPWFK/x0u9GAfKysrkHUB5+Bb92ArbSrfl oDzSz2d6bkjrtowJ9HEywSbq9uDkJAXJm3SMGBjwmpZojsbGRrCZc+Q53gj6 w7GS4R7vbsCLSYsGezp3d3fmZqddw4OQ2OJCcN7vkycJHf296t0r1dDLxEHi l+QQOnxnFTyAcOSmEwGUuLO5ubG1seHzzqjWn55kONJuJW17xl0A27Xr3lxD jB8xUJD2LCt5Oof7Z6cm1ZtHc3Ob6+ubImZuT8xwX/fS/tsuB0o2N0cH+spR QlpXL2FRI8/4GOOePB4J+0HdyNja3HC7RmEeyg0dfnONb6fdrvqyEmJZSLtV 6xoZoCKMpZhla1O9rUN1cFpqsTAfkCcMRYnxFuL6ykp/Z1tDeQmgpV71mp4a dwxuoWt1VcRQiiZGPZUKk2ti9l6M2lOiUVmd9rvznpLhAZpjT8nGxjJKBlES UB0hgJL+GypZU0paNSVbtIKmZEhTsqIp2aQUBGivaG0wxSA0XP/mmogBNhSA bW0R+rUHQUdohYWAn+Ym8mCWxT0xfj5L6JcuY7zHCxU02K3qXvfS0vjokEub cawuL++LGZ88EOPQxRjfXFOvQI6P1ZZZECB5jg0NQCAIm/fPKTGLIkYNgAt+ JWZ1ZemwWdRbYH3tzQ0VpVc1s6ABO/MZc4GySsm4C4YRJdhn2j1+LXTozTWa FQplwsJX6t2x2WmHBkL46uyUW25j7mpgjK1AJlqQFh/t71lR494B8SpVROUl tUPlyuKCY7AXMTjw8sL8iPYyoFhgeXEexqMViPEq/0k3nmAk3o119aAs8pi1 cVSL9crZxkeGOF+eB9beK/Ri87npKajA65kiN8ObazsKErQBXC7fkdy0x9Sp l3dq0jk8APJh27mZKfIJasAs3mIkXi5HjMp5eQnZk2NOclYvo40MaW/Zqwzx QK2TDqwsH7yPbCRerCfQogaoGc/Y8CCzBpoDH3YO9eFmGgHu+GdnGJ3QY3xI 73R1Mj0RreRZ2ZOcTlcnO/np8yXeCGaoZ3uyVye7pjjKMHScrk52B+nQ6mTX jpr09pNxhQSaYHX5Tsx4aHUyEbN1bDFHlKzckRLjCgmoIqpuH78vXDu8FIDa SXb12AthXadk/fNSEjr8C/6JE8Pse/t4YiLVQKerk91CTJjB7mSuThZO+tyJ 9wuRTon35KdT4r1FOl2P92Sm0/V4b5hOziq4J0dJ6HQ93rsjI3RKvHdfTESI 1/ib/h0nMolgvJYfGSOV28lJtPunAsPtnHOsdK8a8y6l2zHX3TDpLSAwzGzD ByE9oTB8DsF6t1AlvBRO/kIX4eTwhUti0jDjdShC7Sv4HaaYiChRi5SqlU7D xRj1MGR4GHNylOhiwgSqkyMmgg0Uvk2ED8PJJLS/IFj4kEkmESFe0skRc2vL EJdvTbxomJ2dnQ87zczMyCruEUnBYHB6ejpSuZ2cJEsbhX/OcZPH48Gkkc3z Hk63Y66Im5Qe5Pf7I5jh3ciWrMgwzEyw2y1USd8Px7YREfnFSmJSho4w82EM j1T7hikmIkrkMe8wlVAdxHi93ntDyb0n5kQ10NzcXPg2mdNSmPGFuqAkfCoT MWFmEkExtzCvxA6n03nre7xQ8U7YiUzULiERSkzwMVGkcjs5ifkFjRL+OcdK zF4xJv9GMM97ON2OuSJuUnmURd4gi2CSbOnjkcoQhQwsYWZC7yYTWbv4ht/K hjJ3nD8iIzKmfYESRqPKNzPpbSZsHhHT3bp9P0slsoSRLOVxx4nqrK6u7r1d 9cVXoouR/RnvATERbKDwbbKipXAy2dEeAKA6YcYXakQm4ccUxMg6GCdBjJj3 ZmI4TuxwuVynz/GekHT6HO/JT6fP8d4inT7HezLT6XO8N0wn5+nZk6MkdPoc 792RETp9jvfuizl9c+2LlU6J9+SnU+K9RTol3pOZTon3hunkcObJURI6Jd67 IyN0Srx3X0xkiRcLz0171JqEN89wdXlpdsp9dT80b24eZCvVocTJyUlU+f3+ sbExaf1gMMjndW39N850uVyyYq1UYWRkRBqXS1AbOky8Pp+Pa7kkgi/gGJPX 6zUSZiAQGBoauoXT3tA4CHa73XqDyptN13usTrOyEi8n4AlrWtJpx0i8q8vL sjqxvguJnr+suCurWN9Q5HzAJxY7Jd5jpc+dePG9vU1htJ3iaX06iCwVKz/1 yjlGYuQznU5WpuUSj8dDlxH304mX3CYmJvSVovlMn8IJOQHXFYfXaZNLpqen 6Xp4JmfSR6QgnXjV0lUri17PxPraim6TtZWlwNz0QsC3q5LaNnRpQW22zjlX tYXiNzf2Vo80Eu+W2iPywI11DbLcLvXSlpTcZXCQZbER73A4ZB3dmZkZasFn 45hmJF5qPTw8jPXkF7GQhlJUltyoIPbkK9k4Bj3YgSrzmWw5Ls8XhQzvbqCH tjCOXVzLmfLyryxlfJeGqVunw8SrXuTZ1pZ42qSCs9Oy9+v+mWpv2b1lPHe2 Az6vcR2zm61ORj6cqTu8tKksOK+tt7woK4frYg6vTrYpn2VNV+OKZ/sL8yox O9tKzNX9dcxuqEQtlhv0++dmdSXkuUrxQbWkMA23vLggmxFLMnLmNW0Ulc/b V68uBv2y1YUkfTnckOaQavDc98+bLX6ljLC6oipuFLO8uKi5hxKzMK+vwH9U ycaBEmxyAyWbx1OytrJypAmUkvl9JYsHSkLXLQgmZtEyWfbPzohvHBazKWKC ft/29qeI4QQumQ8cFrN0IGbpNsTsW8a3fr2YLRGzEfTP7ewHuKNK1sQsu9eZ ZcegZHtpYX5lf/5ulEHRuCKWPwLARwZ8+R1dTI1lqL5OvLuaK6KQxpWlcUM3 T+Syo21QiBuQye7+nms72rq1834/Shb8/oXDHnujfJQe/tlYW93Sninag0xt ZeAF1Si+TY3BZKU+saT038D+mHBN218DQ+nZ6viti1maD9xi8UPKxcLz/jnj OboYOrj2rRJD61y7OdWjh1bQVnc/MHsEiZdWNmck2kyZBalXZqYmECPDiOxQ I+KRV12qdsnJTYjCLE2VZbmJ0Xq2wnt2u/0b3/iG0+l8+OGH33vvvUceeYRA /Nvf/vYvf/nLY489RnR49dVXn3322aeeeiohIYHY9Pzzz7/44otnzpwhnD36 6KNnz5417rlGGHrggQfefvvtjz76SBaBp7Jqze3tbf4VJye+S3DHFPo6/LLl q15N/uQ0sTyOLfwQ0lbxfeedd8rKyuTP8vLyxx9//LXXXnv55ZdDGgxLLJP3 +yi9o6Pj448/lmdsxLfJVh6V/Nvf/iZL0KOQ0Pkf//Ef1dXVoorYuteV9mmW 2n3ta19LTU0dHR29ePFibGxsa2uraNDPodtefvfVjoYav3dG26ryGmMYjop/ lhfmMpyWm3PdzpG1/UEPR6KjhbSl+/GT4uxU+lzolHiPmT5f4iVdunTpW9/6 Fj724YcfwlcvvfQS3kh/qaysLCkp+c///E+oLDo6Wl99muZubGz88Y9//MIL LyQnJ+fm5j755JP0lyN7rnHJE0888cwzz1RVVRUXF//yl78k/6KiojfffJPu +dxzz+GKPT09X/3qV7u6uvB8SqQzktsvfvGLP//5z3ipdD3JlojTUmO1F6aa M2LWtHXgcdfizLiygpS2Ohsu2lJdYjenOYd6Ar4Za25iS3Wxa6RvqEc5+aEd KPxzxVmpZQVZehA07rn2u9/97kUtUXf0UEEs0NbW9te//vUPf/iDxWLJzMyk 31EXjqOtu7tbNoaTLTwY+sjh9ddfx4C1tbXYhK8aGhrobnQ9RhtgmEGJ2nFC YWHh/fffTxF8y59c1dLS8j//8z90ecYHDIXd0IC5+FZ4G4s9+OCDUVFRjBiY hXbhw+dye9m4y3BA27jZbs4l2vZ1tJjTExil1S4PGrS01NhNSTGWrBRwoqbU nJ96xZqXubK0MNTTeW1/z7WQCgdqK+HM2AtObY+hwrT4woykpkpbSGbrc7Pk WZSR1NPSMOuZzI6/XJiWoG94atxlOOCdLcpMrCgyQRdkSOAgyggq40LN1eWm pNji7BSieXVJQUFqPMFFAvGh/Y7bm1EyNtS/OD9fkpdOhKovVzvD7qq9g0dR UpKTNtjV7hoZzIm/XJqX4RxSWwMg0rjL8NS405yR1FhhJRZ3NNbmJESVF2QL /FDB+vKS/OTYymLTnGeqoigPJbXaXu2h6/Z9aK2rxGiUOzc9hRJLVnK3ttkc RUw6HbmJUUpMT8eemNx099ho6NAuwztTrlGM0FhpBZM66quVksLcpYU9JbW2 4vwUlBSQv70otyAtXu0av31UCfjRWluBkimXkyYoSI2jTXtaG0XJhCjJTR/q 7hgbHsi5gpKMSdeoNNDBpg8iJj2RUO6f87bXV1Ojkpx0GkvE1FgtiKkqLvBO e+yFOQVpCXXlxeAKeR4VU2NXZlFi3IQec1pCV0u9JmZ7YnQEMaU56UO9Xc6h fsRYTRnjjqFpt0tDaF3MttupiakuV/uS11XiLcS4ZW3AQVKNVW00hpi5mSna DjH19hKuOqIEpypMjZ+aGANjTClxxVkp+E9Im1KNjw6TZ2lO2khf1+hgXzZm yUv3jLuMNmF2UGuz4M9lBdkj/T1AJkfwyekJV3N1mRAjzeEc7KdpPBOuwJwX v9L27xvSiZegjDEzYy4knf+gpdq+sryoTeF31C0uClpa0JFy2j2Oz/d3tmJt GrpN26ZZg8x14BD6yo6/lHLxjC0/s8Kc19/RsrG+ToBXO4Bo98uEfJA92N1u K8jG1J7xsfryYmqqQyZVaKy00evJ3zMxhldTFmpl62oM215XRSeqtRbRdjhV VUmBvjtwaH95BLV5dG+XJuaj6hKz1zO5K0nDbIy0uU+V+G1DhZXeREOsrR5M Q0SM2tG7pDD54kf0DtlqWTLR7oesC/BLr6cT4UileZl0JV1MBImXdor58O80 sbZLyG5TVZkpOZbxAStFvfcaHi7nUxbdShHvzo6bbpVwlHj9fj/BiG9/9rOf ESYIxEQHQirE+Pvf/76zs5MIBQ8TeohTxFPCDVdxwvnz51NSUvQxc35/l2Fy 4DQiGjELSCYaEohNJhPhKT4+nqgt2xb39fXdd999Tz/9NJGdmPinP/2JYCe7 mJEbUYnSY2JiuPAXWiKclZaWAgDf+c53iKfSKFA6sBrSMJUICKVzFWHxoYce Ijf+TEtL++///m/EcJwj5PbWW2/9+te/piBCpBAvoZzTOBlQh4cpAqhGUujw LsOgNWTCBIFAfO7cufr6en042t9leCnrykXGipH+7urSQoZ0QkNRVnJvW8v5 N//SWlvJYJsRcz4r7iLuRzMxutrNObg6vcxelGdOi19a3LuffEq8t5+OS7y7 h9Md21knXhwYjsKFmDAmJiYyQyRP4Io+kpeX9/Of/xwkvnDhAlwqF+K3wBgT saGhIToLTmV88EAnXvoXoJudnc2HgoICOqnZbAaV33//faAOJ8zKygKY6Z54 I4M/4Ee/wMMplG6Ih1OQ8akGRs7BriZzerTc22HQM6ddbq4ugTTmZiaTzr8B +s5OurzT7tKcBFt+Ul1ZwYZ270UnXkY4PDY9+izBccXwS5NOvIhxuVx//OMf qXt+fv7Y2BhH6CADAwMcpNZyGn2NbstoA8cKlgv+US9GIeaSnMPcAatyAvaE 3unUmJfjjD9MSGUrZ8YH+imWMWkJfmageOWVV7AAIw+lIEDdCtv/RQadWI+R h+bAtrA0f95Z64eZdOLdWF+zmTIzYi4wSq8yW9duHFnzMghwIW2HL7gIvq2v sLbVVQEhG2ur4FZncx1XhfY5k9yI7wln3y0vzPG4xxlSiLZcW5iRqG3isNXf 2d5UZVteWixKT2ypq+xvb/bOeGymLF2MEC9iAC1gtaetad43R0Rm8t7d0tjZ WKOLYZSDNtvqq+EQpJYX5ExPThiVEMHjP3kX3JqdmpQ7/5ASxKhyWF3pIbfm enisJCcVWiAou8ccMHxThc3jdumcSQRn5CToA10wBuzEmNnZVDfQ1U4+vllP pcXE5KvBboVqaqzmoM9bXWomOocMnInDD/d1JZ//ECLCLMO9nc1V5b6ZaQZb bVev5e7WRujXOz2JGMZnxu1xx7DAuVEJgATna0pcNaVF3umpzsZaiCWk7Tlb acnHVtgEYEAn85fqkkK1R94hJVtcnnzhwzqbhUyYrYBVogSRalfZ5npsPjvl Ls5JAx0d/T2ukaEGe6k0kE53VJkWJNBjN7nFRwPRBCD0gZiAj+DSXGNHDGax m/Pa6quQp4sROBExcvudI6Aa4BTSolhXc11va9PMlBuWBoxHB3sxC5jXoG1X fSDGN8fszJRyhWunJ8fF/nCjbKSLlWijBbUFsKVFEwNqUgRXGZUMdLcpJWUl tDIRk1YQs4BlKKHFod+ZyXHmAi21FaMDfWPD/Y0VNqNNfLMzhekJuOjS4vzq 0hJDEzM7+khLTUX8x2+LGLxw1jNVWZwPYWIx5oOtdVXy4/jBLsNXt0A1phIg ZXdzPXpwnr72ZmY6JdlqgiazmOWFBc6BeJl8wZztDTVHdhlmItnd2kAmOFvK pTPFWcn0XAwOfQ33dU+MDotjwN71FaWU6HaOYKIJ54gOmUzTIF6mwHQN/JNZ A9VR+xGPj4k/XNP20kUGJzBF4oO22e5eMj7V4BjoocctzgcAReYsFNfb1tTZ WEd/xCWkv5CoC9SNz+g3pY1PNayu4BL1joFeCh3ROiwOzLAA5JRkpw72tMut e1qEutPoMnZJ0olXhgJj2BWFx3qqAaeyF+Ymnntf7usyTmbEnKMn4nXG0bW3 rRkMU0C+tsqMTM9WquPz+QgZqCXWEDXAUWI3AYVITfjghJdeesnhcPDhueee I/S8+eabfH7++efhQ4KaPmbqxPvTn/6UfKxa+uSTT3BLYlZcXBwBmohDfJc8 YYMPPviAzxDmb37zG8IT0EuoEitREEQKZIIT5FNdXU2QQgBfEcs4EtJ+DAXC 9ScTIOp3330XsrVYLPzLkWeffZYzQQs+kxVKYAyIFx5OT09HvxAvLUJlgfBv fetbcAJ1ByEEpI3ES+wGPx555JHzWrr+Hi89FIjtamnIjDnHlD8z7jxOS+fq 72hjxke/IB4xKDFBq7FZEj55l9k3c1siXYU27jHWzWu/L58S77HSsYhXPszN zfn2kzy6cwdJJ16ZlzGfwuuAW1w3pHEdXo3P05uAtKeeegqHYYbI7A9MxS3/ 93//F4dnmgYcHslWiJe+85Of/OSb3/wmIplC4vxAWlNTE33n0UcfZeYIVD/w wAN0E3ou/kkXq6iooEvSieT3erl9ekC821eHe9ssWXGLQXVDQG0ZOT3Z195g Sj4/0NVUlB49OthVmHppeWF+YnSgubLYakqqLskJ+GZ14t3VbkalR53NT44j cEi2OvGigd5BdVCOTZhmMn+kXzN4Qrx0H4idURSIpe8j/oc//KEwsP5UAx+Y JoOs5AMPU83MzEwqiFXpuRAvDcdVwHNSUhInfOMb33j55Zebm5uxPyYCZTEL pTOPpgjMTitgbXo0c/aQRrxkAjyD1piRM5lH31nrh5l04sU44yODaVGfFKTG B3xzNDwxjqixq/3GJJC5ub4GCdTbS2FUOKequLCluhwcDRnurDJ/AbRATXDF OdRPDJVrCX7kCU21N1Qz0yHSwS0AFezEYKWLEeJFjGt4IO3yx4XpiTPu8bKC 7MVgAMiEWHQxWxvr/KnE5CsxDHST2k3RAyUry1XFBfGfvNPT2iQPa1kykiGi 0B5N1Q90thKgyaqpqmx8RN05LM5OhXlmPW6dM7c2N/o721ACzhGpa60WBJMh 8TqkiHeaIhRUVJfXlVkAPLi0tqyYHEIGztR+kvAxNcC8gBNsgBG4trLIpHbX VUBVS+3wZMTAJ8wUJl1OMgwZiBclfR2tqSgx56KkxmqBb3vaGuU+pKYkHyVQ BzKohabE4vVMXadkjgCdFn0OiBrsbO9orFFKLCZaZwUlCqE7OFKcrcwCF006 R7UfCkMhA91tbSCmJfXSGeI+gMeFrTUVoJ2Mfop4lZggTAjAgDSI4Qh/NlZY D4nxeZnaYBZASN14dznLCrKE0leWFjsaapgdkFtxVioTJVCNJi7NTcPCKNTF MJnqa2tKvfQxgAoS11rN8wG/at8udbNIEW9xASgFt6OE/2BduJccjErwBGg2 HbN0tNLieC8nVFhMDFYoob2YKczNTOEhmMU9Nopl9CmJyMB75RJTclxzVRlO YslOzk2IHuhswz30HsewBheRg2wtDRjDbIeId2tzdLAPW+GxTZW2qQlXb1tj WUFOZsx5MscmQoPQHTljH4pGvH9uhiNG4gUyu5rqsDBKOG2otxNfbW+shgP7 O1oc+z+sLM0He1obcDnAzD/npbIHxLu6gtFKctI4mY4PsuI8CEaeXItVaZee tmawYcrlZMRgnqXX9BDx9vcwO0YnmOHo7+ZPUIQZAVMVJkcT2vbQkmFDRWlT dbn+y52ReJeXFjoaa7mWgQXvpRdgSWYZsE1pXgauq2+dTHfGVpymi9GJF1WB QEBiLsO4LIQSOg7xMrAw8sxMTlgykxkWks5/0NfekhF9Dsxm8JRffzDIUE8H 7so0CjPilgln35Mb1zrxEiZ+9KMfEa3k7sobb7xx+fJlWHFmZoYgSygBboka sbGxTzzxxMTExGOPPWaz2YhrlZWVnNDW1iZeJ8SLvB//+Md1dXUcJxIRa4hZ wMCVK1eIUJTI5QQ1AIDwzXEOErPAAPgTDCAYkQnR7bvf/W5BQQGYSrArKyuD ePlA0CSa/+pXv0KAWANM5cLGxkYIFp1RUVHEWWoERYc04kUkGsbGxgiCHAGJ uYQoDHu89tprk5PqVj9SqRq0AJm///77ADMXAtghA83SRsRZ4sLXv/51Iims DhV3d3cbz1lZXmRCsbG2Gv3+G+qBk/yspuoyZkO0UU78Zc/4mNWUyTDCjK+5 2p6bEMX0lhkoAx3jwPbVraLMZEYemvWUeI+VPvenGnAV/BPP/Md//Ed8HlrD 60CvM2fOwJ+QGJj6D//wDz09PYODg11dXfgnDiwzR/oL7oTf0vVk4BXipafA Y/QIHBXk41+cn3O4FgcG2CjXbrfjqGQlv2VwnH6akZFBh6JQJnrGe7yM547+ DsdAZ2FalMft7OtoWF4Ijg13a0cuT4wNWTJjRnrb4eH11eX1leUaa16DvbCm NHfK5dCJV37xrLUVpVz8kHghdtCJlwHthRdeYBaJeLTJrJZuQq3pXB999BFM Tk9k6CA3KgttQsKhfeJF7cjICB2Z7swcXO6Wk1V5eTmm4F8upMPSDYmV2I0B RCazXEu3paD29nZszhjyz//8z9iBI0xvaRouZCYrz0szDnCE4Y4J8sMPPxzB t3ePlQ6Id3ubYbnGak65+BFcqm5MffLO6FD/QtA/0tc9O+VmmtxWX23JSiaa WLJTeloaCtMSpsadMG1onzOpGtDV296SlxiTmxg9PTGWlxzb29YMJ8wHfX1t ze4xR2Halc6mOnIDckpy4IfyxkqbLmaPeLe3XY7h6lL1I2ZvexNsTBwsy88i iA8jxuOGgdsaahipiHpIIhYjRh7E1ZUsLgQpOi8x2pQcOzc9RcQhQyrC0DfY 1U6lSrJTW+sqGfQIWGqQrCxDDBRhvMcLBowO9sIb2XEXCdbIAP+I0Sgh7sNg FUV5jKLoYQhlXG2vq+Tzqva4jg5UsFzAP9fRUJ0THwXecyFkS7CGQGCkASWm C64AKmqtRRAsYiDDLu2ZB6MSwIP5RfaVSzBMg72krhwlJuKspmTEbt5TQm6a kqqywuy1leWjSnzqIQSUWPMMSkoLfDPTg93toBHgB77SrFiP3Khyd+teFzNA 5rqCloIsxICIVCQz9gIa/L5Z9NDK6t7mnphuaIQikDQ2MsAHXYyGakpMdvxl qjw21A8eNFfZaSCvZxIxgz2ISWuprcDmPRr14Qn82d/eIrMSXcyIRlA5Vy4D QnA+nFZRZHIO94/2I2YUZwNRNDE91K69voqs4MbDSmYJiNnxl6z5mVShGLM0 VKvbxTMeZigERxquVSkpgQ/hHMhZ5hqGpxoW8FWnglUrXpefeoUP8BinQfVB hYLq7qK6UZyTBhyuLi1hEMzICUbi3VIjZE99WQmzPIa4qpJCqymDD3Qiajcz NSHPzEBW+DP4TQ+dcU/QrLu7O0bixQ2wLRamqxL9+a/OZsFn8Fi7OZc/Q5og Yj32wbzBOe/MlBuH0SGTuZg26VB3p+ky9OuFYACwFFoGyLEJFYSW4eT+zhYs zGf9uQsj8ZIJ/s/Ep72hhu6D3zIBrC4pwIxjQwNCiXwLjTdWWqk7aC2ZHCLe xYW2+iqyUnNPmwUfo5VxctwPhqdrMz1hYqju0nd3MO9m5kIVJZ8IPtXA6KTu BhTn0xyUyNyKWuDnfNYmiSMylDHKYWq5H04TY3mZyunES5iIjo4mlBCd+cC/ BKD6+noJQ4QVAgQRGXCVchsaGggro6NqXp+dnZ2UlCS3qYV4qVpOTg7nE904 QiAmTy4hlkHLIQ2wuZxCCf3f+973+BbmRwnB+vz58/qdVQIfiFtVVQX9EkPB bz7wLzGOEvWnf7mQM8kQxiDsguUUPT09TdDkW/6l1aAFqADqQBsXEj05QuQF G+Q+2IiWQlrIhsATEhIogs8hA81idnLg5N7eXqiGaymosLDQeM7Vq1tMmlQp kxOMQqvLywzmdPnVleWR/u7uprrJcSfNz2CrHpGfnsJ5mKapjjPppgswXm1s rOv3IU+J9zbT50u8uATYhsvxGX/AISFbZnAQFz7jcrmcTiesiF/pj6kjg/Nl uhTSunyclmTrHyFesqWn0CvxLiZxwKH0KWaL5E9WnEO59Cn1O7LHA1JSYmlp Kd2EM/ksr5TqxMuYNMgYUV444RzEUZ0DXUzQ+trrGuxFM1Mu9Uje6GBjpcXr mcAV5wPeqfHReb+3rcaqPcOmE+8Ojl2YkdxUadNfz9HfXKPu6JR75vQ7qJuu RO3oMnRbJHGQDi5PLhmTDDXkAIgCuhcvXmTM4Qi5qQcXp6awFUfottRUpthK idstwEzgy8rKYoKMVSkLszPjxuz0bgYocmPiIC/TcUJ8fDzDESXSi2WU+FzS oXu8jiFzegLUtLWxAVgSr9tqK2Y8bkh4cT6wEPAT7gl2XDI7NVlXZoH3rmnv toQMd1YZbZqryyHegG+OEAA81NtLGWZWlpf4TIsPdLQ1VtlWaMetTYICmAex 6GL27/Fuu0aGCtPiAW/iy9LiAlQMi9LWrpFBUFb9Yl5eMqqJgQGAHEYtyURX QonNVWUgd9A3t6R+AraRG5GRuOMeVW8x9LY0djTWrK2sqMjeWANGbm1tbKuo uWW8szrY01GUkdzb1rRz9ap/bgYqBhThJULb8uI8cRZteOO2NuryeUZ7uCJ0 +M6quuNqLYLfCO5YbKCrjYqrN3ECPhEDR3U01q6vrmAZ2KBXiVFh8ZCS7vai zCTAA43+2WnCq1OUOIYx0ezkRINS4lDj/6hSgrbrlOzSFrVWC6yyr6S9rQ4l gaDfx7XaIxYoqdMeQ12AT6i48eVo/bYqYswZSX0dLVivr7OV4rqa6yiRhuBC GEyZRbuTOTE6TACCUbX3ntYPxOzu4iQ1tiJNTADk5hL1UEdft987Qz6IAfu7 dDH11TAGZqH61NEoBt8wZyQOdLZyEGCmrceGByBIDcYQM95YYZt0KTHjo0Oa mMlDZlFKvNVWszU3g3kTxQFLgPHSfBBzUQulpLmhq6kOiwl3UXF5DV+XwVfa XSMzX+EYI73ddfYS2HVpIYgwjRKvodwz4aKa5E+NOxtqmFB4pz1G4oUYl4JB FJLn7NQEtE+GnMyFkDwEJT+7EL6RgZ/MeqaAQJh/Sz3Ge0C8mDTgndlcXwe2 Ce78B/1iVToFvWBB3tnc3qZ2TdVljr4e+hFqsZ4OmZiZhpAz6f5B7Q1NMtEf Yu/vbGUO0qsmIJNUsLm6bEJ1hL0B2Ui8iCErLCayAWk+eKen6JKaubR3lAI+ PF+mPHqINBIvl5MJEwFqSn0ZoFzDgwsBH9WnL2AfTEfpNH2drXho/3kbSaer k+kJ5iwvL//08z7XdLo62clPny/xRjBDPduTvDqZvCm8ZlhZaPd0dbLjJ+Na DeDQ8uLirV/rvlkyrpBARPbtP2pyXDH6Wg1ACHFw/fj7rkZEiXGFBO2NocXN 4z90dO3wUgDEa+N7PXemBLLVJwhhKQkcW0no8LoEImZrY+NTr/oMxCgrLcwf WZjos1FyujrZrcWEGexO5upk4aTPnXi/EOmUeE9+OiXeW6TT9XhPZto9XY/3 RunkrIJ7cpSETtfjvTsyQqfEe/fFRIR4ZQGuMBOZRDBeX9PWs41UbicnqaXq Pg0YbuecY6V71Zh3Kd2Oue6GSW8BgWFmG8EVYlEYPoeox0Rvrkp4KZz8hS7C yeELl8SkYcbrUITaV/A7TDERUYInyOOd4WQiD9iEiTEnR4kuJkygOjliIthA 4dtE+DCcTEL7C4KFD5lkEhHildXIT4iYW1uGuHxr4kWDrKAeZiKTYDAYfj6S EDk7Oxup3E5Oojlkjd8wzzlWEmPybwTzvIfT7Zgr4iYlK9kJJVIZGrMFICOV myxMEWY+6LmFKvn2jm0bKZFfrHRrk95m+mza97NUQocik/DNQmjz+Xz3hhIR Qyb3jJhINVBEbBIIBPx+fziZkAJaCjO+UCOU0I8iIibMTCIo5hbmlbg8NjZ2 63u8ZLIRdpIGCj8fScySGB8ildvJScwi6Vbhn3OsxJxIVs2KYJ73cLodc0Xc pGQlo0qkMjRmK2sRRCRFxDlRxah1M1Xh25acyf+OL/8iJjHp6upqmPnggeGb TlowTDERUYIG/D9MJVQHECJY3xtK7j0x914DkQmICAWFkwl1IZPwqUzEhBns PjMxjDwul+uL+FTDPfkc787Ozqf+Gn475xwr3avGvEvpdsx1N0z6RXmqIVLP 8d7iqYYw/T8iP4h/sVJEHiQIRegRaHkuJUwxEVESqYczI/Kj+QlRoos5OU81 hCkmgg10cp5qiMijs5/NgwSfpZh1LYXzVMPG6Ztrn2E6fXPt5KfTN9dukU7f XDuZ6fTNtRumk/O+2MlREjp9c+3uyAidvrl298VEfK2Gq9qKoLcokbJuuHiI TryyuKVs9aVX8Jq29ad+8pHIvnH4ueLQpxGv5EYpV7W0raU7aBFZmV+c3LhW oZ4bB++AFrSNpm882htp9oh99IKOnHM7gUPbsHv3Zou63ALPjthNdsn+1OLk wpt9hUPeMBMu0a19rBT+oHqsdMRcumMYffjIObfXRmondNroZo56C+K9nSn2 jrY1uV6W3qeMxGt0ZmkOUX59ueJ42/u7Pepjwq2JV7vqquyeaTh4dDw5QrxH tmY+QrxGzbpOztFtLlEmZOhQRuK94Zk3VC4Xkq5p+1fefseXEc+YlXF0kj8l W+NV+kFj378+55vFCBm79HY5QryG44xFV3cPdzoZoETP9uGij3CmsSmvXj3q JMZvyVL/fIR4jQHF6KXXZ2IUc0MlXLtz3WivjVrb+01waAQ7wpm6Eu387d3D rbZj8JOD1aE1wUagUmfuX2i8yvDt9vVn3kwJZx0ZEo8qMdgnIkpC19Hd7s3H ZGO2qlMYBopbiLlhRvKtZKjvbnArMddleDPLHCXeW5rlyLe7hga6feJF/9Ub jdXXDq3Hq3zymjY4HBdOdOLl8l1FU8rr6YBH63JY0o7WL6QhrmmhXCBTG9CU t+9qgxIZXbs548nGMSHNL2VkvmPi3dV6pny+lZjrAoSedravHqlyBIkXdXVl xabk2NzE6LkZT0hbSpF/PRMufTc6CqoqKeQce2Eu5w92d5QX5ujZyuBss9l+ +tOfjoyMPP/883/+859feuklvnrttdd+//vf//Wvf6XWZ8+efeaZZ373u9/V 1tZy/ocffvj0009nZWVx2rPPPvv2229LhNV3GX7//ff1iPDiiy/GxcVR61df ffVnP/vZE088ER8fT7avv/56R0fH97//fb4ymUzGRelfeOGF2NhYPrzxxhsx MTEhbRvi8vLy7OzsX//618irr6/n8j/84Q9/+9vfkHfmzJnf/OY3BKOMjAw0 87miogJJ9913H0UYbfvHP/4RMSFtpzZqwSXR0dG9vb0PP/wwOslHD8Rzc3MU LevDC80SEbAA9qFoj8dDQeR26dIlIY29XSrW1/KT44oyk7T9Nw8i9cFoqbU7 njPQ3TE1PmYvyruhD+h4RlvTEGlpaQj77W9/S0sVFRVJWRLlh4eHZU1j4YTK ysq+vr2mNw4FXJKTk3PDsijio48+wuWk68lBspK97Wipuro6nXBupxMFAoE3 33xT5lCfenJEkm4ufO+tt97Cjf/0pz85HI53330XJ8GLGBj1cxiH7IU5+anx RRnJxr3IVdX2aqfVdHd3YnRk3DlSVVywunzjO1dCvLh6enq6eOCVK1dmZmYu X76Mezz33HNDQ0NVVVW//OUv6fKZmZmyVXdI9oXp7OQ4LlRdXd3S0vLUU0/h V4KmQrwkLnn88cfxzMHBwZqamkceeeTll1+mXS5evEgHxMh+v39sbIzj/Ov1 eumMfFVaWvroo4/STaTFjcTLCNzfXl9dsucJuGuFOcOSFVNvy/fNeqqLs3ta a72eiZG+9iM1NRIv4aGpytZWV7W5PyjpTzVQ0CuvvIIMuhJ1RzkV7OrqYmyh 7yDJ5XIhVfZYRDzdB4uFDDtQuN1u+jjNR1/Gt2k+WvPcuXOTk5OcTCnUemBg gIGooKBA2pp/cVEMQv4JCQm62+OHFEqXod1RkpqaygdOYPSgv3MyRQuJkTl+ /sADDzDOUAp58i2DGKUgI6R1HzTLvuoMKX/UUlRUFKZuaGggcKekpFA1u91O OzJ8mc3m/v7+hx56aGJiAm0cpwqIYdiRLTNCh4lXbSpaYe1sqFnR9r3FOXMT omVjqa2tzbbaypyEKMZt/+xMV1Mdo329vXRrY4NxXnx+PxzscMRqyvR5Z4gx FeZcU0rcgNr8SKWlhfmSnNSC1HjXyOBC0F+YlmDOSJzZ3yjBSLxrq8v15aWd TXVEqvGRobzEKGv+3g5iBLuBrlbE0CnWV1dwJcQ02K2CQwdKdnZkf0nf7LTa QzY7rTA9wZyeIDdnPBNj1M5myuzvbEUwlS0ryCZ+oQqRB5ypbRDcYC/ltIWA v6XabkqOK0hLGNW2nVpfW8VQeUkxzVXlgTlvjbWoMD2xo6Em6PMS+4xARaEc qSounA/45v1zqLJkJssuqJzm9UwxXJfmpk+Oj81MjuenXNE32z2ipL68ZKCr DTsMdLVTbp3NIsvs0x06GmuUkmr74sJ8Y4WVTGgmGf2OKHEM9hKO1Z4CvrnS vAyUjA0PaKftooQW4eDUhGva7dKUZOsDlE5317TdiuvKSgjlaifyzc3h3q7q 0kJxe9UoDTWmpNjmGjvXEvTzk2PbG6oWg0FGs8NiNh0DvdWICfr5kzzVnrOj wyJm1jOJGGte5qTLOTrYm5sQZTVlzExOTk+Ok9UhMT5vbVnxUE/n6soSLZWX GIOhZOHiNc1DENNaa1+cD9bbSwpSrnS3NEig0ZVQBUd/D1VYDAYCau/j9OKs FJdjSAbhWY+blrXlZWITPIfwSkcI+nxGm8z71QYKVKGpsmxseJDAOtjVHjKE Xcb8ybFRhiwZ6OcDfs7c2/tsn3hXV9QGLpmxF9KjzuL/RxbHNsYy/K2lxq4j 1t5Yqj1IQF0Gu9py4qPSo8+V5qZRKdfI0NGwoaXlxQWKy4m/zL9UH0NNu8d1 yFQbNBflp0Wdxa9wia7men3z3yOJ7lyUlVycnTrS293b1tTf0aLthrFHvOOO ITS4nQ6cpKbUrG//cX0+aoearvbCtPgaq0W2jz8Q45mqKDKlRX2CGFwCMStL N76FQnGleemWrBTnYF/Q7/VOT2KQCBIvbRT13muMFXzY3NxorLDhpbL5yMW3 X9Y79Zq2AUpG9DnGq9625syY83q2Qryzs7MM1Hx+8MEH29vb+RcBDP7BYJA4 3traCub19PRw8P7774epCEOYghBD+Lhw4YJ+j0WIlwo+9thjcm9namqKsA7l opkjRA0ux1GBXoC5qanpv/7rvxITE8FOjosq/RIMDjN85zvfIe58+ctfJtB/ /PHHxCP0IJjSCUPIRjABhQhL2OLCFbVzztL09DQcCMYTDXW7yQnEU3ImKv3g Bz8gKyId+UOV5Ab4EZhC2tBNWYgMGe7f+nw+0KKxsRGcIIhjBOrL5dRXp2LQ KCPmPO2eEXvBOzWJe9jUJpidADB+S8Cqryhl0Gac6WltdDtHLFmpN/QBHc/I nIZgpmC1Wv/t3/4tNzcXCqJ0gi9MhQ1hCUI/xoE0EPzkk08SzWU/OEgPqxKy ab6kpCSwGdiAJdCsb2xHaAakMTKXfPDBBwR66CukEQjs9MknnzAdoEXee+89 +Yq5CbMMSqdcoj9F8AF6wRo0Lg6DARH8i1/8giJAOMqSbaPvajKaC67AVgAJ XkHpOC31QqR+DmECEhjq7SToj/b3MD4XZ6cMdLZXleTTVRkYe1qbOGLOTGJI HBsaoAvfrIPruwxjq6997Wu4HDwGZ4J8KAF1MBQW4yta6vz58/q0DoehafA3 jEPj4sx8kB3NQoZdhjEmdWGix+yMVmbOiLczo3nnnXdoL3yebCkOrwbecHvB XZwBuqOP0LjGXYZ3drbHHf2mpHM2U7LIgG3MaZf7OxtXluYJKNa8xPKC1Ea7 eWXp6OiqEy/DaV2ZJfXyxwwywf1V/XXixQH+8pe/wH70L4xA18ZXcQw8Mz8/ v6ysDIzEbXAnwE/ylByEeGUGh7syo4Q/6f5UH3AFFDEC+WDS7373u9SOYYdZ reyw3KElyqWDM0eTje2QCov+/Oc/xwnJgYkD/aK5uZmeXlJSQlswRPAVBhT/ oXczP2Io4DhDBNfSWMxWOBjS4JmREP1UB4WUxWmURafD+UFo/J9r6ZIgLjI4 GcHf+973aGIajgkR5dJS5Kn/EKYTL3jAgIBJa23FsBD0CPda8zJky3uwym7O qysrhgdoF6L/QiAAFUBftvzs0MHevopSyASvJrq5XaO2vIxgwG9OT9zStnAS LgJBizKTO5vqW+sqiYPl5lxdjBAvYqDZtMsf15cVe2c89qJcTmuprSCYKodZ WbFkJUPUlcX5va1NJdkpCC7JzfBp91v2lOzuznjcKZfOmNMSHAM96ob5xgZc h+Zd7c6Xc3igICWO4REKItB3NTcAsUxCKQVW0TmTb0G+rNgLHCfcc+mc0pM3 O6nGLipSUZQHMFeVmLWdbfPAVLs51zc7w5k6UKnihvqpDqU7B3tBi1qrBXAi H76CatS2ztV2hmLGasAVHlN73lWWhQzEi+UZwLPiLrTVVk25RqtLixjhuYra iRJym55w1ZQWtjfUVhXnT0+6IQTZUkFXAnQ5B/ppIAIBsDTS301ze7SbHuqB SbX1W1NzTQXMqfYprq8mQMiGVtJAOt0hhhOUmDo4NuAec+QlRpOn3BzGRBXm PI8bMWaMg+Vn3OMQEVwEkB+Iuaq25EOMuBnjW42tKPvKpZH+Hm1YUPvQYXZo rdpatL29tRAMwHiNlTbsMzM5oYvhODlkxV1qr6+CjatLzWqXt6oyYQ/VXoW5 QDLTDWyLZbiW+tKyRiWO/m6U2PKynEN9Q71dDMhTrrEKi4l5E/7W1dLQVlcJ ANuUWaqYBg50t7fUVBhtwvQB30Zz9pXLfADJ+tqbObMsPxvBcFdpTlpm3AV6 mbQIcwEcRgDYeI93Y32VuMBchpkXURvwA5wwnWQ14RgW7sXHaF/pEXoy3uMd 7Oloq6vgciyG74HoUNm4Y5h+MeEclp0B1a82V+FwB7NXJiPyw4TxturifKC1 tmKwux1j0qmz4i4ylxkd6POoqdkEBtnQnj3WZj3rzPXwGWYxolAnXlwUICkv zC3JTYNXmZI0VdpKctOxeV9Ha4GabGbRcFzi9Uyqhhse6GlppFMcueG8MO9v qbUPdXfguoWp8VlXLnY01PIZH5uenKA7yOwPAdSawQqzY6XZKffW5kZkn2qg ZTFFRsy5uWkP7QLxMkNRO9DZS423+GggU3IsnY4+jvX0bIV45+bmGKvxn+9/ //sEI4gXWiBGMKTDeFgU2hkaUlMVeAkKEowEKohEjOf6mKkTL9wltwvi4uII CsQaQhV/wgOyrWdycjJxmRgBmJE58VFOIMXGxhLZH3roIYI78ZGw/pWvfIWI D+wRXMiZz21tbQhDHvBJaIM0IGFyRo9eZWA4JiaG+Kjf4IKriTvgAfGRahI3 qTVHKJooLNsHc0QsTE0HBwdDBuL1+/0//OEPOZOiCd/33XcfpYN8xnu8q8vL CWffLS/IyYg+T6PjGIx7+ECFJT/+k3fpI2trK0ze6dq0iEPtbp92Qx8w3rSk CNR+/etfJ3oSoAnTUA3Gx0mI+AJOhGAahXphB+IyzfejH/2I41QHQLVYLEAI NcKYXIu5gMCQxiewFmhEnlgbcxHrOT+kEQhZAQyQ/+joKM3EHATkoHGxP81K 5qAyecIeL774Yn9/P5YEbLgcQ3EEaKG9yIF8bubqkUpG4sVDAF1aH5EoZPKF cnqukXhzEi4XZ6XkJF5urirPT4lVu3MuzDPyMDgwroJ1lZb81trKrqY6/iPY fSrxYjrmFPKjAzSFp4W0G4PAPzMOlNBetBF+W11dTXOAUjTTt7/9bY5zvnid MVu1l+fWFn0NHv7JT35CW+P/fKY5ioqKqKDc0mQeClzRBPRWrkIGTY9zyt1d 2apYiFeN815PZuyHLYSEtMvrq3LLbmuwp6XKkm3JilteCBJf62ym8sK09nr7 4rzfKEknXkZpQnPC2ffgIiKj/q34P2SIweF8KouzwauQIc5ARZgugYtopmlw DFwXUKTjgIjyFIFOvMy/xJ/xLq/XS5tSI6oG1WNeHA9Pk99ZGAH4DOdjT66i P+rORpWBVQYcWh/O5APTcxCag0AyDUTPwlYcl/MpHdsiEvRlpkyPo0T0U1xI 6/tkTlmXL1+mpzDxB8u5luIYT/hA09CzkC1FMxDRZcgQnYxmjHV8hR2QKpuz hwzES1N3N9UnfPIewMD4rCYmI0N4nZwGmAEecAJgMzLQa83NILgQu5vxoALV ynt3VolKQT+DPOM//OYc7q+1WdZWli3ZKYRznIlW62iohqyIEdoerL3qNmNu ui5GiJczO5vqGMRqrEULfp/VlAVWEXbhpZAi3mVmhQQx2KzBXgJyI6aqpAAq Dh2w97WFgC8vKTYt+tzUuAqmFEpBcj9Z+9ZfX15cmpNeY7MA3lQWQivOTq0v KwHadc6kLIAh5eJHshuy7K5LJxXBcCYeSLflW/gH7oLkcxNjOB4ycKbaV9o9 nhN/mVGXbg54tGu7rDIgE4tX1R31usGudv/sNANCU2UZhDM55oR5Qv+PvfN8 buy40v6/8X7ZL1tba7u2vFWutdeh1rVVu+t1kO1dp7UtWXKSZMlBcpQlB8mS LUszGoXJmcOccwYzwAwSzBkACRAgMphzwvu795A9l5ygkYDZl9LLrinOxUXf 7qfPOd3nOY2+3QbGC5LWuuq082+AltLM1SXRUAhGKpPw8DqQwJE6GmqQOYRt NhzC6R86Tlef3J7M1ZFMT04QsPS0WUDSUFYIZWGE4eNov43YASQ0HCLqdtgp R9qr2N0yYGorEQuEbXrSTgSE/InQ5/UTaYM+jw4m2tFUC8UiUmirN3W3NqFr KJwBzDbBBWBK0gHj6G1rLki9ShRDmVAdwPDIWH8PLEhmj932MQySFjlHh6GL N8EsLtDetAuv21rMMFto9mw0DOEc7rECBqopYFrrq5FMq37mNRGHHGW7h2Qb JA44c0lGkttpH7ZZeVwTS3kRtkiIB5GD+Qdnpmlju3Z68gSkmkqNMkFBXS1m TKihsoQBvKGieLjXqjO9vPwblyw15bTLZZ9o3TcebAnK19PWHDvIeCFssDgk htduq6smusGJ15fmQ7EIvlCKjHjbW9s0UKaIVTKu44Vn4jiQeW9Hc19HS19n G1ruam2Cu8IBJvSwQoexSuswqlW9WCPj5aOYBDEIlNtqacTeMPWGikKkQbRi nGjFDLDYKfuY8oaK8fIsKshLuoCuERrMBACUgF0RHtI6hAC/xR6QIf2IwaEw 5YqtzXIIzOLCHDdBTuiKMPu72giI0JEGZmRQA7P/MyjstzI3Awq6I2tl9dff BAxFyZZ0JDgnLkN+NLx3xstoQ79AXBAnBiICpfHBPrRDx6E5smqFSiHbaDTl 3ClEFAkGsq+ek4UWivHidGBxmB88k9pxB6+88gruW4gl/gJGiqfGQz344IPQ KnwWCPmLY4UBgn9HT4rxyiyxx+N5+OGHcegwJUZ7vmLwF2bLyJ+cnFxfX48X o5b/83/+jzBhHB8eBA/OIy/oCZ/e2toKbYCg4n3wfQgNCeDIcD1waeCVlpbi H5HhN77xDafT6XA4IBVcUzgAcnNzjSXjNPFcOClywog+//nPUzXEY3x8HC8G FZfMCAFaaGSzlA8h5C8tkp9ueRBHJlNzkmdpYQE2xTiDRdEBqwoy8SGEqw1l RabiXAyY3meuKkMdpuKc8cHe8qzU2O2ScVUD9AYqjvDT0tKAJ5NU4MeKZCYT CtrX10fTIBsIFqVwEzKAqBEd+XGy6AglwjQKCwtLSkrwxTGd8cIPJyYmkANf wZ0QsnhtYbyIkeZTHQ3nK5QCB4CeIQSEAwaqABtyo3xg4OW5RpIUyzXIQUXJ t21jApOR8WK3QIJPwjZpstlsFuJkZLxF6dfxv/RWWERFbgah/XBPd37KpS5L AwP7cG93cUbS8tJCl6URh1iZn750h3WwxjleOgg284//+I9UjbgwfjgqxobA uUCSf//3f4+tIkzCFj5yATCoFJiRPJwNGcovI2qOF6KI5WPbdBaeQpiYmc/n o1+gCIYjGBpdktphvNR75swZIlAMnjuYBCT85hzv7u7i4lxPW4O5Ki/9/F+j wRnP5DhD0Vw0FA35itMvLsxFGIFbaksaKrIbyrL6OpqMLVWMF4cYCfkZ7pLP nOxpM6tvFePFPGgmxgkzxyTo49A/jIdoCDlAgxlb6LnICmPmJq0zMl4ia4nC +Mjj0FTMidED+ye4+/jHP97R0cEwBXOmLhgsDJkLAi70jgSeeuopntV+zpua IhsSo49AXxmmGBZgqvQRqCmVIh+YOWJUqiS+pkdL+I+QUQfmTUVc04Po7yCR wRl9EUIifyRMb6LttJH4HTzt7e0Qe+yf5jNQgPYjH/kIuqOzcE1O48JmYbxc hIN+KErymRPwUsaQ0uzkgNcD9fV7ppfm5xhP5qLRyvyMga4O/L7HNVmenTox PFCnz9DuryXYxa+47eMFqdcY4V328fKcVK/LWZKVzLA/7bTbR4ewbagL49JA dycucnSgB2+owAjj1cAEfB1NNSlnTtram+G9I/225pryoZ4u+I+2RCEvY0rn P3h8vQrApERCwUNIoCWQ3tzrFzSm2ttdW5qHUhbnZwMznrXVVegZTqoyNx1f 2dZoGuruhLbhUr2GOV5GTv+0mygg8/IZ/D70yVSYEw0FYKoU4pmarC8tGB/u 02cO3XPRSJelvrowa311VS1lxKNp/G1xcWywl2G5NCuFIbe+rAAfjejmZ6PQ p+GeLnN16dhAX11JHvykvbF2QJ/ejBkYL0ioorGyJOvqWVubGWY+1GuFP1As 5E3maYkgGOdRHyU7RgfrSvLn56IxA+PVkSxAO/NuXCrLSuHZurJCDYk25zk7 7ZwYslktpjIy1Jbkw5eIaPogOc17P30qdgeYmWkXisu8fLq3s7W/swUyhuuH LiIWDUxpPrYBfXWMDEHs60oL4JkUS5R0EMw8GoQIoT5CKoSQe/1iQ3nh3GwU MAO2ToupAh1x3z48yDjpHB/xe9xIT6KSm2DcU6gAeglm8I/02vBx9mH05cX8 aIt9BEPVZkSRCZQPFrqkB+AqEMA+QQIrIzob7e8Fg4a/vHBhdhYFDXZ3UiAZ qBrhdzbVwyEhikaZAIQM117/y0B3O7KFPEPj4fDjA73IudPSQMCCEcLeRZhE DaBtbzTJwgzFeAk9IHXol6DMUlPRb21FCCApydR+Nwn4vLJWHDaJXqCLxpXw RsaLmREywLW0ifr+Hk34VaXQdUhvW301RcX04LGltgrdIU9MGtZqXNUQ0xkv 3JLMkEwUjeh621vQJkKwWuo7m+o0xqtzWlwYpku3oufS8bmvGC/cmBAPMY4N 9kGYa4q0NQl0f0t1GeEJ3YooctDWsbckZmV5RKOOBRP6wqEDjHd+rqulEWE6 RodpOIMJnhHTtbUCpqHDXEfss6udPr+g/XDT2mQ11wODAtGRYry7+2+aSFKL pe+d8W6srWE/qIPOSIzJNeMh8RQcuEzr3X0xfYoAKk7sD04+EqfkJ1/26+G2 Yrx4JfwFozquAS7HXxxxZmYm3+Im8E1wLZjMSy+9JL9Q85HxHx+NB8SVQH5k 0aYwXq4Z3mE7uHtZpMdXFELr8ALUwgVeD98Hm4UnxPS5X1niiJcRzskjsvIB JHzEWeDc8Wj4L4rFuWRnZ+M7eArnfvHiRW7yEZ+Ic8RJcROqE9PJPDmlZGBL yaAqKCgALe5VlrDi+2CGVKcmxhEO7Nq4jhftIwHIBhQOPkOxstxX1Cd5NjbW aopyK/IymqvLohFtHmB3d8ftGC9OT6rMz3SODlXlZ+Is6G7Dfd0MUId+GbmV wiFhYHANDOgrcpAlglAmtAO5pQl4cJqGz+UrPtJ8ohLaSIt4tqKiQvgDfAPY 6JecMEAZMciAm4YA4KZRMd/C0OQrVAMrkKWVSFW+QtRcIF4MAyVSBXrB6TPy mEwmKAGkCwCwZUAiVcSFndy2jQlMSlwSqmAMmCWWBuB5PRnneOkR9IKy7BRc Q9jvG+juYMCZDYe5gzdngGUg0vpRQ7V9qN8z6Ri0da7d4eUpYbwiK6FDWDKi hnZCtrlGztA/YjqUBSSv1ysPymSm0C2ueRahkcG4jpdi6ZgjIyOMGEgVjdPp XnzxRQpH1DMzM5QJJYM9khOSjw2gEVmnSjfhWlbdH3pzTfvlrt+qTy/UzkaC +Muq/KSR3g7C/HDAOzrQ5XXZ60ozA16XsaXGOd6h3u6sy2eqC7PV8mbFeJEz MpdV07JOAMCQQ9BiCUCiv2BpUH1MaHp6mm8hwzHDOl5sVSyQa8SFZRJnYedU wVdwSAqn82JUXCAWjJZirVYrRsjAiEgxeDoLIkVi0kORCSMP7hU6euXKFWSF zaMdOo5qIEJmeMGqkRWVymQy3Q2o9HoiDqqmLlrE49QFHuRPl6SvMZ7T9SDG DGjkp6V0CnpNbW0tIDFIymFYExXfuo4XkQ52d8DrakpyibP0qSFtrN5YX8e5 w7V62i0l6UntTbUYKtysNPOGeFtyqnW8u/ocL5ww7cIbOEF4JhQaRooHnI2E YAjazHB1GRYOl0Zx0A8GornIzXUpwnj1lW/tsCm8ycryEiyXQojfV5aW+jq1 yTe8Z2lWcqe5fnNzA36igdFGOc1zGed4qwuyNSQTo7QC5hANh2BZULX+rnaI UFl2KvwQugiFNhXlmk2lOEqqw3Mpnsm1tbkx+8rZlrrKlcVFQlSZVcP5Dtg6 QIK/Ls9JA602J9nShBPkJr0bLrervwcqU4hEDTQBngk5x0vSFmgGGLg/ZOuE 20Bp6ssKQQJhQICQAVkzeXOOFySWhuwrZ/CtEJWpidGKnDRbaxM0e1BD4oNO aEi6O8iJahCysJqYcY53e3vG4yrXJqIve90aEoupvLY4z+t20rShHitqAgZg YEqhwEx1UQ4EUsXaN+czl5cg5FmXz7Y1VK/r4xLNh6JoYunqCAdmRgd6CWqw KKRRnqPNurQ31kQCftzNATDTU5AEASPGBuPyeVyAIQqYDQOmoKGiGANAZUWp 15oqixF4NBigugNgzHVZV850aPOfi3AzWGtPWzOSQS+IdKSvh7GUIZSceD0k IzOcN5edgMQ1iUUVpFzxTbsW5qLm6nJsz+t2gXC4txskDNQggbdjMKbCLDQo M4rGN9cw/q7mJjJTPkQda0cC+Fxu6uu1sqsLsrgvpk70xB0aGAkFjIwX4wn6 PIQhmxvr44P9JRnXYaqeSedwr5WiYI/y5h2GRFclFpAfFPbGVQPjRdQ4fXqZ Zwozc/PP5RjH2DASs6lM2BdaRr+lWTfQDn1qcmwEyRtJJsolbIQPY5YQ+JBv xjPlgPdCwuk+w71djAbaFEG/jWJNhdnwPWoheGFsV4wXiRHtcmdxbtbtmHA7 xzXeW5IHFeE+hSNz5CNBIhjgipRD82MHGa9MrmIMWDtgKJam6WDKMWlo84a2 +GHHOTYCw0FZtBEpyUCU8L0a3nU63p3sXtLx7mRHP92LuO6HSN9nu5PdRTjG N9dwl6GAX35FVd8e7072TpPxzTVEGvTPwILeRTnGHRLgq7L6912AUW+uaWB8 3oU7vClzv5EYd0jY2FjH0d/pvdG7pN2DWwHg/oXXvXsk6yDR3pf5f4IkdpDd ASbo96688/1wbgGz7HVPxQ8m4POuLr8zMIeQrK4sz7xzJMe7k90dTJzO7sju TvauE4Ucn0Dxtmn7+ASKI5/uRVz3Q6SJpabGYu9l87R7TMcnUBzNdHwCxW1T omgMnvqIbPcaPxIFJiEnUBwFMAlUUEJOoEgU442fZFLI0TmBIiFgEnICRaJO GU7gGalyTmWiSjs6ib7wtkdn3kued5SOTxl+R+n4lOG7pIQc4Ht3VAk5ZTgh Y9p7KIlIE3LKcPyiS8iRxwlBAoZoNHoUjo49OkgUmDgPsT06YBKooPhlAr+K XyYUEv/BvrQlIQf7UgLiPSJgZGFhPKcMw7qDweBi3CkQCGAw8ZcjiUb5/f5E lXZ0EkpHUPHneUcJjcvi2wSW+T5O9yKuhIuUolA6qk9UgfejWBnM4x8u6N13 QSXfvmvZJgrkeyuJ0PgbTyGIjjE8UfqNB0yikGBjFJIQseBJ3x9IBAyFvG/A JEpBCZEJYVr8MonoKU7/QosIPONnZUcNDOXcCYz4ZafTefc5XnLGOdVMopDE rmpI7C/7RyRpWyC+3Y/C95LnHaX3qzDvU7oXcd0PkS7c+eDdOItN7KqG+H9r Rnp3X9UQp/3Lmsl4SnjPJRFp/KsaEqLfhCyxSAgSLEFeaIqnEPnRPM6fqo8O EgUmIasajgKYBCooIasaVvS9beNJawlaSEAhCVnVQDo6YOJf1XD85tr/Wjp+ c+3op+M31+6S7v3NtbukQ6cM3/rt8Ztr7zTdfWn0vadDZ/u+azDxrx5PCJJD Z/u+u3Toxaj3OpJY4hYVHxEwiVJQQmRy/ObafQVzpN5cO2a8b5uOGe/RT8eM 9y7pmPEezXTMeG+bjg7PPDpIYseM9/7AiB0z3vsPJrGMd7TfVpalHQsup2Pv lRAJhfw+uaaiTnNdSeaN3o6WXe0Y8Wlbm0UVK82RXfqdTueZM2deeumlq1ev 4oCuX7/+/PPPyzn1eXl5f/zjH0+ePCmn0+bn55O/vb0dk3tTT8b9eHGL2dnZ yg6vXbtWU1NDq3lcjrjNzMw8ffr0+fPnx8bGXnjhBVBZLBZ1FFFMP3bNZDJx kZKSUltby8XFixflvKrf/e53L774IlUDDHjJyclUJPvYUy95uEkVfX3aXsSy F6hRtleuXAEMFzxYXFwM/rKyMvLQur/+9a/l5eVGNZHTuB8vWnv99ddlO305 kphrecSwH+9GY0WxqSinu7lp+87uA1lNDA8EPNMdTbW3zWDcYBYhNDc3c4EQ rFZrXV2d0j7lOBwOdVwdH0dGRmSv3UOJ5hhbZ0zILSMjQ20VK4lWYxVIW3bO v1NDbpvkDLL/Tbpu3L4Yzf7pT386e/ZsOByWAzsQoByEvbcf7/Z2l6WhuiCr ubbiLtsN7e7ueF1T3imntbn+0BnrKqn9eOXUPzmtA0vAcjDCU6dORaPRnp6e EydO8FVjY6PH41GAMXjy0CnQoOxMy7WsVhLGC876+vo//OEPb731VigU6u3t FXVUVFQUFhZi52lpadqh54EAFZGB9lIRnQt9UTL2qQ6MVox3Z3vb65ro3T9d Yn1tpa2urDLv+thA1/rqSmttcW1Jhq21dmlxnr/OsYGF2fCUXds/1sh49YNB tcN3dnb2+rjaqwEXRuelXxQVFYGH8eTVV1/FtILBoGzBPaedpRA9rycu6Eqy S7baj5ec9GVEQR+nBB5Bg5huJBIpKSlhBGZsQYxDQ0MMGnR8BhCab7PZXtWT 7O8tiQLpMsh/Ud8UF3sGXlVV1eDgIJLkKclMpT6fD3jPPvusWAsCRx2A51k5 /ZwHL126RF1IdXh4mAwMF2iZegcGBmSsQBGjo6PkAX9/fz9DJerA5MhAOTk5 OQwyr732mhxeGTvIeLc2N8YG+qb0Y0wxtuEeq5xQJtIe6bdV5qQ3VpUwsE+N j1bkpmtHGvH4bETtxytWtTA/192qbb27ubFuazVXFWR5ppw3dd1gqinKCQf9 VNFUWdJQVqi2IDMy3k3A9PdO2ccYwUL+GVNBdntTLTfFfjwuZ2VuRk+7ZXtr 0zEyVJGXPtzTtVeFEcncHhJKDs5M93Xu7dmrbdTs99YU59aXFo4P9kXDwYaK 4rb6qmV83OoKvtHIM1eWl0DidU9S78JsFDmEA36piyZQZmVeRkdjTTQcGu3v ZtS1jwxubW0uzc8ZCZV2poZsu82dxYWOxlptK+CZveFuPhpp1k8F4iIaCtZX FLXVVcuwcADJ0tLoQM+Me2prY8PttJuKsnv3DyBA1BMjg6bC7JG+7vW1VVQD EjlmN3aQ2oEEecoG4EsL8+2NtQ3lRXJAc0zbUTbSbCozm8rmI4KkUDvka58T GtndytLiaH+Pdtrv5obbMUF1/RqYvf3cJoYGAKPvSQuYTr6lq94OzHbQB5jO PTANNRqY/Q1mAWOpLrWYtLOtI6FgQ3lBW0ON2oLsEJiRPpvf48ZCXPYJqh6w tqmNy8aH+jUwAz3aBrm2TlNx7uTYyGEk+m54fEt+kNDqxsoiRWDmImFzVWkz SGajkaAfo21r3ENiPHOtu9WMWbbUVcnhzmSYnBiTbFI+ekE7UjVW11JbNaYf WKAYL8bW09Zcnp1WmZfeWFHS02aRM0RuTWh8cnzU5RjbMswA6CRzVd/Itw8+ VpGT1lhZDPXyum6/GR31RkIBlEWjFuZmGVHhZopk0vzWuury7FSK0jbI3bzj vAq2ah8ekJOLUZ9nyiH78dIo5Dk20EsJlNNaV2XcPfhQol6vvr8upUWCAXRh 3Bx4c2NjuK+7Oj/TXF0mzcFmZqZdII/pnbSvs4WeONTdiSLIIOWowhPIeCn/ ymt/RpvAQ2hQWfoyttdcU3H19b/IyY/apu4e9/SkI/XcKdRBw9MuvKGKFcYL 13344YcxngcffBCu+NBDD+GOn3jiCRjpD3/4Q0b1Z555hiEdFko2BvAf/ehH DPs//vGPIY34CPy1kfHSQDmbOKav0PjSl75EIXKc6M9+9jMcFq4BxgsTbm1t /dCHPgRJwDHh3FXzv/jFLz766KNcg+HLX/4y8D74wQ/m5ubibvA7uH7c4mOP PTYxMSFHwgkM/OO3vvUtgOFuaAWwP/GJTxgP/MLDPvDAAzzI9U9/+tMvfOEL NBMSjiv8xS9+gR/81a9+hWOK6SQQRo0D3TWcuQapoDpYxA9+8AOo9ZNPPjk+ Ps7jtPfmmWuL85lXziD5rCvnAl5Pb3szNj85MdpUVcoF3Rk3xHVfR8twbxcj J6Z4WxvYNRwiRqXohUZ9+MMfBl5paSkNh1fgWNva2uBLqAY8cAOI0NNPP/2T n/yEDEgV1gdCiAHBCwyEbymTm0hb7AeVIShE99WvfhWpwgrw8hLUoL5z587h 2aEWWCN0jge5oC4u+Ii0ERGPQEWABEWhFp6CnEC3vvvd78IieJy6kNudTD1R ySgubAz++etf/xpug90iGdiLnHuizlzTjuMZ6ivNSmZAGO3r0c4THxnkb7Op nAFzrL/HUl3GwOsYGcDvV+RlvO0pw7QUY8Pk5AxoMU7oHLJF7B/96Ecxb/KQ QR4UNgsFIlrBnDA89EU/kv5oPHON/oKuCSoph9IwA4IaKCW18BcSiMD//d// nd7BU9C2goICjASzl9MWbp65pnP44Iw759qpsuyrezA2NwO+aa/LXpR2Lhry FaacnbIPQS24U12YXF+WbTUzTnpiBsarn0JrSTlHIalqCDWeuUZboNw///nP 4X4QPNoFOYSHYwkEVvylC2MtaITC5MS02D7jlTPXsGEE9cgjj9BeDIwm//KX v4Tn09ew0s997nNE3NzH6riPGMnAIECNPMVQI0hoODfJTIyArTKmfe9738OY iRQoCjUJSCG01M6wRvmUTB7GN7o5xRKkINKYfsow3Yq6GCXALOfKURcqoGl0 GWye0Yy2UyCSZ3AA3qc//WlGOXREw+WsYR6/GX2oU4Y31ruamxBpZW5aOBiA AmVePjNos0o2qEJdaUFrQxUsCNWUZCZPTYyWZaU4xobx/jHDuQ/RUKAg+XLG pbd62lv80y5yuiZGS7NStLB9a8uhH38DJ6wqyBjq6WqoKBrqtjIWKTD7pwyv Wy0NKWdfw4X5vW6IcX9XO4RwbEA7/QHvBq/ATcOlccTYAAycv7PhkBEJrjz/ xqXMy6f7Oltxu8T12VfPyfQXSCBgJRlJ+HcAA9VSU4HHxJn2drR4DGeuwU5x ZGnn34CJwWknx0coUzFJaqwtyYdUz0UiuPvqgmz6MuyOzktHNh61MD3lyL12 IT/58pDN6hgbqinKhYBRJlWsa5ywi+vhXmtdWSEwWmoqetqbu5obYwbGS/e3 6EhgYtNOO1BpF0OEnOsaDvhqS/JGervrygogkJB57dy04jw5xuIAkkl7zrXz ICFGsI8MkRNe2lhRzFcaIeyxggQ89WUFvR2trbWVtjazHC4WM7A7wJhN5ekX AFOigynts7YByWUfFzA1xXlw77rS/MFua00JYHpr9GPOjGAoZ9oxkXPtnAam r8sxPKQ9BZjKYtQkxzcQiVBCQ3khXgwmiefq3j9j0QimqboUME2VpdOTE/zt 18CUup36eVKES0W58OG60jyEr0umF8ks6edz7SPZAjlIMN3h3m7ss7ZYe0Q7 IQ4kKysDXR1NlcUDtg6E09tugQei9B591k7BwN4ofLC7M+B1UxoGDFpku7y0 dzRtd4uZ8tXGzhQ7aOtA8gQIivHu6OV0NTeYCnPAr51bnZXS1dI4GwmjuFXt NBYPTC+mk/Ca4pzmmkqh0Htl6tOqcgw09gNmAtiW2sqClCtWSz2GTZClTUX6 ZuDb+gC1JWdSYNLELxZTGUTOQDLXZ1xTILQ2N3hdTjoLBs/IwL+h3i4aqI+9 GoeE4sLSMUgyWGrKkT+dWE04a2AsDagVUyFWpcdBU0HCNaHi+HC/NIH4UT+Z JQ/76be20+o1ndUIGORGQNTeYJIDaJAtVJMIQsZ/ZMLQRPhpqS53jI3AMCmH ipRkEsh4aRGDoXZYT3EuYxGdriQ9ibGlz9pK3zdu3M24V5x+XZtAWF4qybih ihUPKwdr0kDYKcM+VJDR/vHHH2c8x3dDFJ977jk5bQ0KgTOVw+ghFVzANtWY qRgvLkMYL4M8Xg96iUPhI75PJgxTU1P5Cnd/6tQpyoG8yRFpMX0CWR6BM5w4 cQJXAir+4vGpWk60h8UBDHiApNK6ujo4GI7mpZdeUk2WyWT8phIdrIDq8Fx4 W9gsdAKXSiHAAJjQP+QgEkYOcjqSYry4Zug3aL/+9a/zCEhe0pN+yuH+uWxL i9ffeBkJJ585QeSFF7OPDGCljEjcp0uGA34GGboV/ZewDrdyWxtQ9AwF4Z2f ffZZSKkcPkWN1dXV0CR8Ky4buREIPPXUU3JEFA1EtnwF+eca+oe44K5Wq/V3 v/sdPAEXnJycDPGI6cwKObe0tOCpURD3YddUF9s/ZZhK5ThmyC1fUfXMzAza kaKolAchwAitrKyMqAHdAYm6+AqiSy3AoMY7mXqikpHxYhg0Ch3BNIAE0+Cv fKsYb07ShYIbV5LPnkAjuUnnba0W7eRcc13GxdP6oZ+R+tICfDrjKl6YrvS2 jBdSinGiJsSFQCB1MT3cw9jgnwQjv/nNb7AxaBJdmzBkcnIS+oRxYuFYmlid sVidWmpEGknSHHg7/YVIEBugQLFbTBGWJb90oAgGfygufYHoBjuJ6QwEq95n vNqZXOXZV2ytdTVFaVv7kwZcDPa0NVbkMDI0VOSQob2xfGlhtqmqoKE8q7E8 xzE6wKioGC/jG04n+fQJiIGa4jAyXgJh2ovhiaFiMAwaNAQOSf/CGlEQggIw 1B11yGCoGC/CIb4j8hLrIjpGp/R9RIo5YeS0l87LiIEMsUmyIXNiHCwNsWCc MhGNM8VEUQqsmDKxap7lKQRO5I6gEA5PyVAW0wdDMiNnBkPMHszkhK7zVExn vCgLNVECvQyuC0JKpqVkxsC+8pWv0Fg5oVsOHQYwbJk7FIs60LKMqLeeuba+ toa/Sz5zEq+hnXm2sQ7hwaFINuwAd4bfrMhJg7xV5WVop6dVlnQ01jLsxww8 MzjjSTv/enHGDXwf1M5iKl9ZWizPTcOdUwjE1dbahJYJ9CAwDD74KTiwAiOM FzAwlv3zjueqC7PnoxEYVGdTXUyfY8FHYw8dTfWtdZXwGcDgT2V2ZR/JDtwA JFDu+VltlmxxYd5UkC0zotAYn9ddmnGjIjcNE8KhT42PeN2TFbnpLTWVcoKt 8MyFuVnYadaVsxBIIVfkV4yXkdZqrkMs9WWF9uF+Blh4CEgwztb6qpuESifY aRfeqCvJCwf9o3227lYznrq+vAhLxkUSvkG0woEZxItbh8ROOx1EvjED4yXQ YBAAiX7YsbepuiQa0s7THOjWfBlEBWYC2o5GEzKH5CD/ZlMFbYkZSSZBx9hQ 6vnX60ryYVbDvV3QBpAQtsC7lhbnGW0gaTgLkLQ1mlyOcbfDDg/Z66f77G5e A5MNmInhATROzDIXCUF6B23aDzqBGY+AaWuo1sFUzYaDXHD/MJiRQcAw0EWC gaFeK7LVwJQXYiraGXatZmIHmlaemw7V0Y7rcozD8W4BE6nOz4Jy2HUw5srS 2WiYMXNYt14koIOJttZXN9eUY3WQPXgRxSokGLx9eDD13Ov15RqSYZuVx3Uk RQxNcpoePJnCKwSJ0+6ywySrjDCw5OKMpNykC821lcQ7mBaPYMbR8N5kCwQM Idw8wG5zc3JiBK6+qP8coFY10Hbn2BBmwFBJF8OQzPrUB5YZCvhg/ov7v4lM DPXRQTB+NWgbVzUgDaInDBJyTtem+WgZkcLnMZvxob69MWc2SrbJiVE4LXrE to0LCTBOREE/5b52sO/IICVUF2bROricdrSu/ssjAiSagDNPaeFtck9bszZG G1Y1TAz38zgS0I48HuxFMnQZho6i1GuV+ZmqQ01POvo6Wn0eN9nkcDoFBm6J NIhrkG1TdRnxHSGb1VyvnqUhlCmuUy+nBVUqySjGK4P87H5Cd/Kj0r0zXhSn HV68vFyamVyZl5mbdBEkefzt7UJNknlXc3ma40u/8Cb6YqAoSruuilWMF68K nkcffZRmZmRk4K2gLjBGeB3fCv3D++CMampq8ES4FVwbjl6ODyYZGS8eAZAU BfUlM84CJxXTlxnAr2L6ogLYUVNTU0pKSkVFxQc+8AH4qnRJHsGVP/zww3hJ /BH3r1+/np2dDRjuwBPkRDygcgc8MCu8PA4IoVERraBRo6OjDzzwAB7wM5/5 jJxyyyN4HCkZH4QzIg8eE0cJbaC9KPf8+fO4MBm68Xfye6txjhc/TruSkpJw 2ZAZLvCM+vHie3mWFhYKU6/itBiNUQrjJN+1NlQTmHCNeUtQj+IwG3pNeU56 7HZJ0TOqg+S0tbXBOdP1JEQC/HxF7bQdsfT29kKo+AhNRarc/O53v4tDR1zk RzJQEZRIo+SoYjJLi2gF5fzhD39AlWicWqgupjNeCAbcSc5uxjz4CnliBpA3 Rip8NyVDHrq7u3kctMAQwWIAkAGgch+9wABv28YEJiPjBR5ciDaK7WFpXBxg vJsb+OK5cGjKPp57/QJOf319zTE6WJR6VWMRJXk+j4voXpvMbDUz5kB935bx IiuZD/zXf/1XqClmhlXA/OFCfISwIb2PfexjECr4P1qAcWH2cD/ugArLREcx nXjEDIwXeWKQdDTiGsqhEOllRHPoi0dQB1EYtAqGjw3ICiJyZmVlkQ0DwDKF 8WrNDwVMhakVudeT33oh5J9enJ8lkO+3mqvzk1eXtY3ct7c2F2YjRWnn19dW GDU7GirgxpBhz5T95qqG3V0ITEdT7Y3Tr8rB5bFbGC9m43a76eAIf3BwEDMA WHl5OSISs5menuYrmkPoitkYGS+RNb0Yg4cqkxlLlrlryGdVVdW//du/YdIM L3RAInFM2u/300b6MsLE+KlLxjSfz/ed73wHY+AvsqIEkHzta1+jC9N9yCmH IMsZxyJzyC2jDffpR7L1OjB4UPtZPBymLgZA1OrxeCTepAoel/PKaZREoH49 0V9guUSaqONTn/oUokDpMHwZu5TQ9lY1INL5+bb66qS3Xh3Sf9u1tZphvORk uMZ/4dTwbqbCbEIzYmSG8eqCLII1hpSYYS0Bo4p3yplz/ULejYuTYyM1xXmL c7MlmTdWV5bmIpHRgR6cPpSjNCsFcgXTIzPWrsAI493VwMzBG2+cPoF+IR5e 11R3ayPXOD7cFRQaEtVUWSrH6WJFVYVZUFwjEoxXQ3LtPIwUVBCwqrxMPfha X9FnO7npHB0GG06chkAzQItReV2TimeSX/sVu7wo89Jp3D2oID/CClY0sWxQ DI6VgRTni0cO+magtT0dzXBO44/ma2urMJDsa+fg6jDe1roqv8ddW5qPSKNB /0B3e3dzo2fKWZWfBT9B/jBJdBEzMF5Bgk/PunwW0cFCPZMOq6WBwRyZUBr8 OTAzba4u727RJvdgdFBHaFjs4M/3dDfoB/wQ0sKzCNk/7a4DyeoKSGBQNNAz aWdE4gIaQ2blxxW708H4eArSCweDScIxOs314wO9gGHsglzBb6Fz3c1NTVXF UHTAyG/9h8EM9WddPVuZl05E01ZvoiE6mFUa29/Z2t1mhvxjaV0tTTDY8cF+ CM+tYMJ+wORlA6ajxWKq8LicBEcwqz0w+gKSxqoSW4u5qaoEYIhxLhoxINkF Cfmzr5yrzM8Y6e1ubzT5pl11ZfncjwR8OE1krk26FmZ1NTcAFc4mqwGNjJf2 yvHZgzYr/7hjNpWJCrRxKeg3V5WpYRzjQbY44qWlBSPjlTUhWAiMt72xdnrK jnEi4WY9FqNXqhLA0G9tNZ4+b2S8cFoyR4OBga728cE+Wod9EtzRB3s7mhXj hRLTDSfHR4lWaBr82ch499j+YJ9zdIintFab63BMkFVonr6mZVPaQi0jfTai EqulXkIbI+MFgK3NTJCFJJHecF83BoZaiRooWWJSEhENUU/Q79Wip+5OCN3N Od6FeVtLE6RaWzbZ1z3Sa6Mzom56ZUxfNEJPpF56DWGUVk6b5baMVzZ/WNlP lCyrX+6d8RKww68YN+D2mH1+8mUu6E2YN6OELFNBLDRQj4ULAExvvfb6y75p d8zAeHEB+ILx8XH4DwP7U089hQc5deoU3+KkGKtPnjzJGM63+B2QQ0S5hqwC lQucAranGC/XeB/IBn5f6BOGjSfiQVxPX18fF3zLHdgX/oIH/+d//gd/HdO5 t8y6YMk4ETw+jo+PODtAQsVxdvgjUOGe8L+4v5dffvm1116DM4AW+o1HA79M 8PIgjEIYF95KSqbVlIzLoy7KkRUaMGcgUdT+77+7OGV8sXEdL19RyzN6gubJ 6uX+/n5Zcil5UCeRZmnmDSyTaLS5tgJ7GOjugFkRiQx0d2ZfPVuSlWJrbeo0 12kZ9kP4Q8m4jlegggTOgPyRIY6YKADjQT4ggTzAoKCj0Euo0RNPPEFY8aKe kBg5XS4X9AA5IHz0BR0dGhoSD0UboSjoC+5KEAFDg/brPmsTN01paIc2Ehrw FF9BQpAYRXV2diIxqiDPpUuXQEuAAGGAYzz99NMQEmEm6EIWitzXZAwQXnjh BYgH2FAugLk/MTFB81UerUcUaD2iJOMGPbSlroqhBlfL4E/YS+xcXZiTe/18 S10lfX9iUHM6K3c4Q1MYL7KC3thsNuRMhIilQVPBgCnKL+PQNsyDr5zOvUWV 2lriri60E9tf4YAKEKaytE09EeihXxgUJkdmyNtzzz2Xm5ubmppKXTQWe8Aq 0CNVoBRajQ2UlZV973vfk0dih95c05Z6RiG5a6vLlqoCn2cy+/LJksxLFlOR 3zNVXcBIcqWnrR5I4YC3u6V2Yqi3uiA5MOM+sKqhoyXj0lsI8NZVDeRB5sJd aazM0xJ9QPaefPJJIHGBpWFyqGlgYIAORT+KGVY10C4MXsSC9DBXLIoOjrVT IKMQjJRHaBo1UiDGJkZI32fQwBSJL+gsFM4dCmFYo1/TC8iP6BgZmpubH3ro IYpFYmpcZYyCvvIUpB2owGZYQy/IXH7RkKl4hg40Ij+RyNp4iC71QukdDgcf 6R2UjOIYQok7KI0+xfDFcEqr6aQQbyW0/VUNG7i29ItvYn6hgA/iAVcsy0mN hgId5lq3w46nK0y5Ul2YjaPBqeXfuIR/x6Xh49Q6Xi7CAV9ZVmrymddwo0uL 8zi1wtRr+OVwwA/XhXYSgxelX5fZ3aKUq8UZNzxTDgVGrWqA4aRdfLM4/Tp8 A4aZm3SpMj9zNhKEA8y4pwZtHXlJl2pL82AXnU21+TcuN5lKZf5WzfGGNCQp yWdB0ry+tgq1Sz13CjLj0bgZ494EwCpz0+l9nqnJAr1plBwJB+ejEcUzKZ/O mHHhTVNRNg4U74xYYFD+GU9Xc+OUNtFXgftr1mk8AynXCAdWTlHGH809k87C tGtZl88M93ZBz/CPYINw0nbK8XumizOuA2ZqYmx6yqGDyRLaYETCKJFx8U1T cQ5Chp8gAbPO3yiBoQP14XxpJp5XkHB/R/fmxmnV6Ul7gY4E2gASYoey7FQN yaSjq0VHkn6dIMJlHycnBSKW4P4q35sLCQBTW5l+4U2YTyQAY9fUYa4uDc54 rM2NtB3uVACYetNcJGQxlRWmXQWeLLk3gkELBakaGJgMHZlwoFwD0zPttBPg YIRFAsYxMe2c0MHkqP5uXNXQrIF5o64kPxz0Qb3ybgCmDJoNwfO5p4gL9sGE m6pKsXDCCon7FBKXY7wg5SqecQ9Jdir/YC/aD+gtTT6QpF0nYuIjBg+SmqIc WeWrYCzMRW1tlmgoBAW1jw4R4CzMRrE9WYhLaNNlaZA1Nhgn7BYMxH1EhYjF yHhxDe7Jif7ONjoabYGxY6LEniDPvXa+07L3QoceZ+UWpV1DUyqANTJecKJW yCTRk8s+hq3CUbF8DLgCS9MXw9DVZH6ytcEE/UZQXpfTyHhxOgRoCIdxgAAT /IQMPMJfbXHvUK8wXkylJD0JY+BxmgwRlXW8ivFCQRHsyuICVke/K0q7SqCE KOgF6AV7junzybg5WAqhjXN8uL3BhFUrMPBMmiPLZpzjI4wJS/NzYwN92C13 ZFE0eicgIi6QcojXNvff6U7sm2vaz4LLS1Latv6b1J5Nbm6q3xwxDOWy8Vga O9U7o2K8MqEkv86rjekUQmGzh3ZUUz5UrC52cK8GKce4x516bUE+ysyYTA4b MxhfdZR5Y3UtSVQJYPWgrHiU0mK65zr03qUUYix5R0/GPDxulLAxGfdhuK18 DuXRpjL2X2+82R308E3/dlubtFEL0e9gBruGjQWMIlISO/QVQlAAaD518dWh Y0Mls6xpN9Yl7jKmv5pn/MrYQPUVBardC2m1ChBiBg2qzaLRxf3YyuDWZBSX 2Or2vru5bR59bcO62MBNm1xf33s9Z2eHi019iZc8eqd61V4NRktWX8nP67ca uRGSuja+537rs7v6enLtB6aVFWXqMV0dqgSZzhU80iP22nWbvRqkTGn+zpZO ZGX2e33/dzpubuszfqvLi9ITb765trU5OTEa2H8LL3Zwr4ZD/UJ1RtkiUjJw U4oCv1wY92owlqC5szu//i+TBqJu49gSu6W/H5K8/BJ0qDTjiCcnBEnIKZtS qrqMpRkVpAYo9Qa6MZu2PFLvemo/hINvrm3iaOQlJu7L6L1X+K42i6K9g7Nf kXH1YOyg5WhzXN0dqtL1/e68uz8GKgexs721YZCA8c01fQJ2SL06tLE/FbMr Ddc49tru7cAYkSwt3ESiNUcj05t7hegw0ICS9qZhlDC+LwbBgJbIb9Pb+syw 2KTUzkf1s7I26hoGcKMikP1sODQ+2H8z5/raAbFoa90FzK4RzCEkzrGR/ZnS HfLsGGQiY74af+6IZGcHekDEcWckW7dFEjv4shj8zDE2LO+qxwdGe3PqMBi9 CO3O1j4YffAxvjx14M215SXAEKoIGPrLHrs2gIndAmb34At9kDrI4T0iubki y7hXw2086c3et6U/xr+9j5sbanjcvXWvhluGfaOm5KNe4IZx+D28V4PCs99T NNe/ubljeES3aN2khZHoBOzw9gj71E6GaGk1YFTVUqxO0rQxUBsJ9aHmAMlU TkTPKfc2tbmam0LY1gUrA6kOZOswmFu92P7/WxoHW9uRZw3lyLfHu5O9t9Lx 7mRHP92LuO6HSP+/3Z3sEMM/3p3sXaRDu5PdGjTdYzq0J9i72x/p0O5k7w5M QpAc2hPs3SHZvWXzq3cB5uggid2yE9d7HUyiFHS8O9ldwMTp7I7m7mTxpGPG ey/pmPEe/XTMeO+SjvfjPZpp53g/3tulo7ML7tFBEjvej/f+wIgdM977DyYh jBf/sh13ohD5QTAhCW8YiUQSVdrRSWg8Go3Gn+cdJfoywpRVxMfpbdO9iCvh IpUwR97QTGBKeLH0cYaUOAuhd1OI/Lh/22+x/3hkC8iEjGnvoSQrke4k0ntM sgAjftHdXb//m0jAQCFqld27SzQHJyt06H2ARIGRd0beB2ASqKD4ZQKvkx3b 4kkUIpsPxFMIxkYh8bMyadERAbOkpzuB4T6+4+6MF0X7/f7ZuJPP5wuFQvGX IwnYXq83UaUdnQRNett23Uued5ooEJEmtsz3cboXcSVcpPSgcDicwALvR7EU NTMzE2chyO0uqPiWKuKRLSVT/rt+/L2YRKQMHXGWwxgev+hEg3GCSQgSMMQv FpoDmEAg8P5A8v4Dc6QUFAwG45eJFBKnf6EtFBI/K0tIi/53wMjI43A47j7H q14OiidRSAJ/k93d3U3sL/tHJBGGvO2PwveS5x2l96sw71O6F3HdD5He5Yf+ OIuN/8dulUAY/2/NSO8uqOQ38XjKl1+Q4ynhPZdEpNvx/SYbS5B+ZYlFnGAS ggRLkAm3eArZ1bewiPOn6qODRIGJ80fzowMmgQqKXybqXex4kryXGv9CAnlP Nn4w8uLtEQFzd8ngl4/X8R6ddLyO9+in43W8d0nH63iPZjpex3vbdHRWzx4d JLHjdbz3B0bseB3v/Qdz/ObaeysdM96jn44Z713SMeM9mumY8d42HR2eeXSQ xI4Z7/2BETtmvPcfTGIZb9Dnbamt7G5plL2R9zJQgWHP/PHBPnN1mWwXTDY5 ETJmYLz9/f0pKSkzMzNVVVVyEBLwGhoakpKS2trayNDZ2cn90tJS2ZS1p6fn 0qVL09PaKYoVFRU5OTm7hjPXEFRHR4dSPaWNjIxQUWZmJrVQTm1tbUlJSVlZ GTXKIcVjY2OBwM1DOnhEzuJsbm4eH9f2PTabzZOTk6Ojo0CiBL7lDhdyUpvJ ZAID9h8MBrlJHq9X29mSWqLRqFG2PAUYqYJWA7W3tzccDmdkZMim8Son+Ccm JrYN56nhlKurq8VJVVZWgkdqjxkYL7lHB3rXVld2trdH+nuMpxAaS3bZx+7e TxU9I9EWORrY7Xbf5RHjs6KaW+sFs91uv+1TcsLFoQ4r8mFcQn1dXV23PkWG 7u7uQ0I+VClyVrvuq6ewkFn9daqWlhYxQq7lHAGEfFvh0C7029TUhJo8Ho8c TaK+EnFJIS6Xi+aQE+PBhNS+u5JHOxxhbGg2HOLCMTI4u38S5YG6dnampxx3 OnhCJWG8lEMDGxsbt/VDE+ieWM6VK1foL8CgL2Mt5MFolaCkLampqYWFhVgU Awu9AyOU/iWMl0eGhoboMjyOiGgUts0jiI7+yAXmRzmM+UiMEignPz8fGKiY p4qKikRERsar5Z+Luh0j8nFra9Mx0mdtrh7uaaOxk+ODIb+HwTI4c9h+jIwX 22bYiRhOTleMV87CoCF9fX3IQQaHZT2Bjf7IBd0fY+a+HDMnSTFeoJIzLy8P FVMCNin9nQcZdigfe5vVlzrTkRmjKIqe63A4kGRubq4644P8VMfIkMD1IYlN RsaLSAO+6Sg2ub09Mz3VWlc1Nthr7IwrS0tTE9rG9Zvr6x6XU98Fd1c21DXy TP34VG0QY9xikOm0NCzM7Zkcup4Y6u/WDxre3NwY7rH2dbapTXGNjBczDsx4 pF8sLy50t5gnhvt397f0nI9GrOZ6CqePhAK+zqa6mWmXFHJbJIyBPe3NHU11 6nQnLefaqtc1tbQwz4A5GwnJNvj7m6be5Jk0MDjjWZib3dxYp/ntDSb+yj7S OzsY4Yytxex1T8b0XWH90259l+W1aCh4iFDxrXfKqde7Zh8Z6O1oXVrcw7m2 sjzSZxu0da7jl5cWB7o7Rvt7tvb2nT6AJOCdXpjXBhDKt7VZZEP+2H53sLU2 zbinwD/jnpSDjOXbOyPRToLr62hdXtpDgmse6e3WkKxpSPq720GyvW+9RnYH GL9nenF+bnNjY8o+1t5Y4xwblo1eyQYA/WQNN3Ujun5rh3xL+YfALC8teqc0 6ZENzD1tFqWj5UVNFEM2q7ZLOcK3j/d1ti5qilijqx4Es+b3Ti/Nz2MPkVCQ chTBEEPqbmmSA8JoOOYXDvhvFQtC8LomRSzjQ/191taV/a+APdyrHaOmnQqN gqzteFgRy5bx6LeAr8Nch6XNRcJ37HK6QijZ53Fv3rIfLwjDQT/mTS2ocmNt DfCH9r7GVmmLcC3aSx+hyXL8ipBMCpmetHe1NFkt9ZjZaL9NbPu2Cfsf7bPR uRRPUCRzLhoZ6rHS0bCrPmsbZa7f4bwA2g5axKIOK4ntLySgm0877RiD1dKA KmUD5ztIRTMVVEN7o+GgY2SIv0bGS8MxgO7mRmSyuz8ubWiWuqzOO5hxTWpn /w31IQj+MTjIEXUJZLxUl3zmJB1HjqLGfXOhHYVjrsu5fl46HfCGe7tHB3pS zpzEdBvKi1LPva6KlebAav7rv/4LF/ytb32rvr6ev3iQxx57DJf90EMP4Vl+ /etfX7169fTp00899RQE7Ic//CH+5ec//zl04mc/+xns0XjmGg38wQ9+IHNf QP3P//zPJ554ggyUTGmvvfYanuvPf/7zqVOnYDt/8zd/gwu7cOECzktQ8fhn PvMZHuGacr75zW+C84Mf/CB+7Y033jh58iQuFe7HV3hDCoT/4BMBg/F/97vf BRg5qQt294EPfICvlNwo+T/+4z+efPJJrh9//HGaDM3+7W9/C/7vf//7+NlH H32UFsX26d/vf/972Wta2CzE+KMf/ahEAX/3d39HK55++mmbzRYzMF567hvP /xoDY2R++VdPRIIB/g1Y2+bnoqiDb6U3DXS102enHBNcrCwveqYmB7rajPRY 0TNMBVFkZWVBHqgXDDCZgYEBgEEqwIypoD5oHhygpqaGC+ju1772NVgQvAvm AEESJgYXggP06In7fKu6DIwC/YrWyMazoj4k9swzz1Ag3hDVS+3UAvPhmtoh XQBDjPATJA/fwIqgNFwzmqH9goKCn/70pzwFeK49nr3DjLjGBiAk/BUh8whV 8CzBFARSeB21EBPRXpoAsJdffvkvf/kLRYHhG9/4Bn+390+aUOLCYH7yk5+A +R/+4R+o5fXXX0d6xjz0gpSzpwpTr9KLT/z2qaHeLs2/dHUEvO75udlI0C/n NA33dtFh0VpvezPdHzbChWy0rpI6ZRjL/Kd/+id08ac//QmrFuME7dmzZ2kX SJD/m2++KdYS00c2DB7NQtiQMEJ46623sEOZahDGS9/kEboJ316/fh0Z0g15 iv7y/PPPX7x4UQ4fJH3sYx9DZXKQNAaP/T/77LNQYp7Vj3a9yXjn5yIFKadL 0i/IR2yvNP1if2fTtHN8enKsKj+5qTK3t6PJ5Rg+NCgpxovdMkSnXXizMOVq KHD4zDUwIHwYL0o/d+4ceNDm+fPnGUnADB50gfkhEzogHZn8UF8BqU4Z/t73 vgd3RTg8SB/EAH784x8Tv9BeQpgHHngAkxPOTK/HkrF5rIXOi0HylIyN4Hnl lVcQYJyzLvcvKcaLSMcGelPPv16cdg0Wp536ZG0rTLmimAODRkl6UvrFN8k8 0td17Y2Xo6GQdtyVfmKj4pmL87Omopwbp1+1tTXjZwtSLne1mqvyM2Vze+2k s7Tr+NCG8kL7yGBpdkpLbSVEVIERxksa6+9JPXeqOD0pOONtq69qqiytKsiU g6LwODVFOTBP/UzJiYrcNPxpScaNRd21KSQww+qCbJD0tLdo3KmrvaOppjwn TerCd9vazNfffIUG4qaL0q631lfp58N26qRxj2cyHva2t6Sdf8NUpB09xoja 1dxAIX6vFvhDO2tL85BAbUmeTqsas6+co96V5WUyKEKlhZa+GdBmXDo91NPl to+XZiW3N9Y2m8p39VOPxwf6yrJT2hpMLbVVcIzK/AyLqXygSzs7w4gENoiC TNrJVpMtNRWNlcV1pfnEJntISjQkNcW5EyMD1QVZlFZTkre6LOdfKCQ7tKJU R8LY4prQkTTU8CB5IJaIvSw7VUNSVznYba3SkQx2d4rQFLuDSwgYqqMDuhzj kMzynFSN4sZikM+qvMzuNnNtca7LMdFUWUzUE/TPeKacbfXVN8Hs7AR8ntLM 5MxLp+HV87MRdNRSV9VQoU1AMR5C6WlgR1MtCB2jg5W56TB8jMra3CA6UmBs rWYYRV1JPoTHbCpvrCzhGhiUQ1BcU5RLsaaiXEwOU6Q0tIY8DyCZ8ZRk3pCj 6KYmRkuybnQ01qAOTSxra9ykda311eAHZGV+lrm6bLinyygTBu2K3AzMY2yw b1I/KAQutjAbXZifm550jPR0S1gkBoz2c6+dp0/JHcV4QQUtxBShdhkXT3td zoaKovlo1DE25BwdhsrSQPpXc025xAV49orcdIupTLioMF76MlpGdCgX6zVX ldSW5jtHh2CwdFjG28X5+RW9aj4SLdIWYjp1WJgimURkhD+Ipb60EC1gYF2W hsCMFubQUwBP9CG0H8GCk8zqBOQ9MPphN3RhDUzmDUIGv8fFgzxO4bDficE+ eoo4UCChOEwXldEN6fK6H9wDAxnGSuXEtyn7KCKlpxBzIa7KvHTGLqivFtG4 J4k46koLyNbX2VKSkeQc16ZWEsh4iVNyky6UZ6cCkkENeyhKu1acfr2rpTHv xiUVZpIq8zKKM5J29TPTGcpUscJ4Q6EQvoNBDxKIy/7c5z4HAJghThZfwzV+ R+YG4SS42pdeeonrX/7yl/gUnJcaMxXj/dGPfiSUCeaJmyOnzOe8+uqrMlWY np5O4XADSsY7w6XxaFIOflAe8fv9f/3rXwGAF6NA8pPtkUceAWFra6uCB/vl WVBR8h/+8AfVZKgOTh//qyYMYVPc/MUvfkHJsBEy45RhUMCgIWSDv1GvSPi5 556Tg48Vm0VK+HFqhOiCB4Hgf6HKW4aTiLGlgpQr+cmXi1KvoYKJof7c6xeI MvKTLzlGhwqSr1TkpGEG1YXZowM2FNHbbunpaEZlGD+9yXhMjNAzFCTH5mZm ZkIs4TwnTpxACGVlZYDB3cMlvvzlL1++fBml/O53v0MssCMCAcQIJSYzOqVd 3/72t5EexAzSC6uHfjz44IPYM1UgQOgHLIVGQUhQMUJISUkRVSJ8ykRoDz/8 MBKAwvEgtArpkQdKiQChpogF2RIKoQjyQ9KuXbtGdIDGoT2QFljKb37zG6rY 3T/6jYq++tWvyrSnUGuZfodWpaWl0QSgUi8hEoEMqgQVtdMi2A5oaREKhe3I GWSz+6cMAwwwYOAvtBMjB/nMzMyu4ZRh/FpB8uX8G5f5C7soy0lrKC/AE005 xriDr6FDMfiPD/ahTYjuQHcHfpkIF00ZY23FeIkXECnmCjx4mhxsDZ0DA+SN r/74xz/CvrAo7dBGfYCFqaJNNAg9Jmw0jgDCeCn2zJkz9AVkiJaxdsSFYOlx WC8SoO9AdNEpcn7xxRcZ/IEBJSanHN6NTRoZLwEXhNZqqW6s2Dv3eW1l2VSY UpZ9ta/TPBcOVBek1BSnmasKIkGfHJykkmK8oGcITb/whjYVtrWpvhX7R5u/ +tWvQItxolDgIXkuaAhGQvNpiza17nAAnuAIm0GDMcMpw3LWOdYC76WjESIx WsLhr1y5ggBpKTexZMoh1MXeMCqJgjFUsiFqeQmFv1BiNTodwaQYL67WVJiT cfEt7E1mWXFAJVnJQf2s27XVZagp7h4SpZ0nuLJcX1oA94CxMKrH9nmmTPUk vfkKzhEP5RwbNleXUg62zSMY00B3e3eLNsGLL26tN40P9RHHQUIUGGG8gKku zAIMcc3ywjwj1Xw0PNzbDVUWYHBOeAheGBICbPLjcKedDiMSaOF1DUn+sj6V So/DRcK0Y7rPgkJUF+ZALSBR+MqJoQGrpWE2HMT7Q9sUz4S3lGenMZa6JkZl DMejmQqz5Qg2eAX10tJOS/3k2HA0FIBuqYBUESqqHhvsTTn7GgxqNhoZ6e9G CJRTX1aozRkuLtC7tdOHA77y3HSI1uTEGA4dVhMzMN7ZcAhWDBK3YxwK0VRd Astl3BA6qpC0a7S5Am5AWyCrclSxEYk273T2tda6KvgGFEWmghtAsqExnJ52 i3768AxxBKyMEMN4DL1id4DBNgq0gGicj2gEkgy70Cjc7q5v2oXGKacabmYq hxhX5mci3kjADxtUYBhdRvt6Us681lZXJXO/qKww9SoUIqafl6eTsVLGPcIZ ZEW0hReDjlJpOOBXYDAhMhD8Tk/agz6PubIUrfV2tCBSygl4p3kKfkiTW+sq m2srkZvZVEarbyLZ2ABt8pmTtGI2EiYqQSOaWMoLtzY3YHEwaoYaCodeQphd zgmXfQwWbZQJjB2zZ3Bm3PZPu+kvBCNQfYrCydaXFSAEFCSShKnSNMUPFePV etD0FH0KmUMRO831lpoytKx5hIIsSCD2SehHW9TvJphWX+feVJVxVYN9ZIAH yYbky7NTwAafhA3CAZAwPSumn0QMoYUeUJGafTVOq6JZuPfE8MDk+AghA1Eb 7BpsSANewVc0AaNCblmXTxOLUbg60M24qsE+PNDf1TYbDQ92d9DrIajNNZXa ic/p14hHJJIVPIQ5EF1GIez5wCnDK8ttDTWYXHdrE9Kj22KiqAPTJRrFruRA OsAQaiFA75STLkBcthcm7zNe2cBweT/JDpyxd8J4JUrFyHOunacJ5blpSC83 6SL2Bjbj6LqytJR15SyWjHZKM1NUsSJbOfwdPHgQfBZ8BgaIF4ZrwSu4Dyl1 Op1gxjvjR4RYwljeeustmUCLHWS8MkNLwqdT5pe+9CUcFh/x15BVLvDXsCCc HdyG6v7lX/5FrRDAYz766KM8AsnBr9XU1FAIfA93hqcTDoN/BAnwYF8y+3fp 0qXh4WF8pWraF77wBbzhJz/5yf7+vVMdaSMlf/GLX4Rv4yVtNhtcCA7W1tZG e2kmVIEyRcLwapPJFDMw3nA4jJuGouC+yY/DBRv55XjAvTnexQU0jjVaaioY KBg3bpw50dvRbGsxb26sEwtDgzEMglZLdRlegEcJiNqbaun4WJSiGcZVDciT uiC0tO6b3/wmYoHTQnGhN9p4GwyiHfJAroQNQmhRkNAwGAVPQY+5A12BCJEB jkoJMAoYLMjRCM0Rkk9RtJEqZK6bYpGh1WodGxtD3QiEcqBb8Dfui49DpzCc //7v/0ZBqBJFV1ZWogvAQD8wJ1gH7Jdi+YsxbO//+ob0KEqZNBkU+QEkiqZT YAZYCGhhdMQ19AsYIB9lzpCcEGx5KVUxXu4DAPJPIXDmiYkJJIA3NzLeqsKs 0T4b8am1uaG1rho3ZGtp7DTXrSwvobWzf34OLscwhd+B9/JIBIeYk4abKM1M novcXAWhGC/qgH4jPUgp0kMmPAVaiUoQO7yUQBJJcgE2/gLy61//OqYI/aO/ GJe0KcaLwcPzv/GNb9D7ECO1YNgEPmiKZiIQ7n/+858nICKumZycpMkw3kI9 UQJa2Na3VdSbvxPyeXKvv16WdSX5rRdCfs/29pa+xmN7bjZcnHZ+fjaM9XZZ TFUFN0wFKeNDNuMAcnNVgx41E8gnn3mNAV99q+Z4H3vsMayOKJKRgYa7XC7E gposFgvNJ34BDP2aPkvD6YBCSo2MFxnSEOI12jgwMIBTo3cjRkaMr3zlK+iU cAYZUhclUwgF0tJvfetbDBSYx96It7JCrEGPjh3VdHNVw+7u/NxsbXEudugY GVqan68tzRvp74npHhBSkXXlDN784ivPe1xOPFlDZTG8AlZgZLyxvTUqQ5Ac wmpYJaaL04TfrmsvXK8xznQ01S3rd3ATkFhKgNAqMMJ4tXULs1FcYerZUyP9 tvrS/EgoONDVYWttwlawEDoCtJleQ9+BCeANtfk999QBJJub9pHBlHOnqvIy 8FA4WVNB9rruFikcNogzorFQiI31def4CCyUFuHNjXO8QILzUx2sYNqpzQY3 lhdNjo8KWu1jRfFcNNTeWAMFQkqwoKX5vZcpjD+ar62uQjPgbBgt5Iq2h3wz dWX5Gs9cmGes5ltKw4N3WeqB7XKMQwliBsarVef1QHrzblyEBIITXtrTAVXu FpCNGq+LtNRVQ3ppnUa/q0rlmOaDSFYGrO3pF96sKysEidVSjwpAQldfBElH C4VTWkVuBvGFfXTQNTEGUZcWGX/B93vd8J/cpAtel+aUoaB4f3jRrn4Y7pR9 vLY4j2+hWBBOOAxqImLCGR0CA1tLO/8GzaFYMMDEyC+7pGqhhLmOJlfkZXCB BiFUMLT2htqQ33sIDKMifm3IZiVSAAzcY2ygZ0ebvNUYL3SupaYCH4dk4Etw P+RzAMnKSm9na/rFN8iMlUpIUldWgD0z1BAI6DOK7kodyeT4MAZDc4wy0U6+ XlvzTDkYvUszkiDGhBtdLY0U21ZvmouECfHUBCC1o9/V/RVrxnW8wKOjlWen 8iydDuqOHstzUiBvBFbazLx9vM/aOrcfWI0P9RP1CN8zMl4YKbCpiG8hkPxr rCpBLOhoyNYp5ylPTYxhAAQRlDzUs7di0Mh4NbbfZuHZyYkRysHIeztaERGj LroQxkv3sbWZ+ZYAio6gqLiR8cJysQTMADvnGszVBVkMEXQH7qhFF8Qs/Z1t 9COddOzIEkEBs6sfQI9mYcKYRGNlcU1RDtdYnfwSqsa0xfl5YmGUSOwJ56cr xQyMV/ZymdtPsklv7J0wXsYf4rKmqhKJztIvvFFXmo+pw4Gx5Cl9GRWWzE3c N3mokf7OyCnaV4y3vr7+s5/9LN4TAgkVhATiN2EgVASHwUlxDcOBA589exb8 XMB5oEk42e9///v4I+OqBpwXrhynD7N6/PHHsUlKhnXQZArv6OjgAh9NmdSb kpKCND7ykY90dmrxMqwSksAjODJ8PTwHj8n9fD1duHABboC7hB7j9KkIEsVH 3BwwQPvb3/4WYLAyaDM3gYp/BL+UDGyEbLfbZXZ6ZmYGIv3lL3+5u7sbJwt3 hTRKdbSlp6cHhMb5Wzys8GGE9te//hWGg4eV2bObqxoWFzAnGfMRO1aNhTRV l3RZGgZtVobomuIcLvBujEuMn/WlhQO2jqLUawSPLXWVSsWKnmFytAj2iHPH 6RNiUPW5c+fAjN+naQQgyBkAyAc8KAjk8AEuEBFNgFTALSHMaB92gcB5EKGh a6nC5/MhPYRGOFBXV4dqKB/GEttn/h6Ph2ZSJnWRh8ABRVA12kH+YIOcyBwm H+F7kFWIyvnz54lrkDkAZMkEyPkrYwJShQIROyiHCx165JFHsBAqgiBRCHJG TZQPHj4C8umnn0atcGAsB11TBVWLm1aMF8ODE9JYyCQkHJCyJtzIeGtKcuib YLC1NOHNG6uK60sLmmsrnaNDVflE8dWMHox1U44xeg0OnZETz2sqzK7Mz9g2 rAtVjDcpKYnAobe391Of+hTWjoEBA3OqqqqqqKjACKenpz/xiU8QOEh8xCPQ e8QY0+e06WVkRmViTorxEj5QLCEb3YcqHnroIZoP24cJ00Ewb66RLZZJY7mJ 7rAQmB6SRCPc0X4ZNKxqoO0Br6uhLBsuZK7KDwdnLKbCuuL0muI0fQWXv6W2 tN9qqcpPGu2zGtjZTcYLLMb8/JQreARZqBkzMF4kjDUKkUMajCTYLUyVVtBz sU/siuZAZcUMNvSVlzED46V7ShzEHewW/sxHHqSNGBUREJJ85plnaBp3sGSa SZMRJiZN7XzEVKS/YyFo/+iv40Wk+Mf85EvZV885x4drSvIun3yxpbYSmgdL 8bqntrc2tenNgix8q3148MZbJ9qbalaWlgZtnfIzEOXgpHBJpsKcNH06Ds9V lHYNFgfZCAV8cEtcW96NyxW5ad2tZp97KjfpYnl2yqjOq2MGxgsY/Gz+DQ2M yzmOWylMuVKSlezzuCEt3ikHnKc4I6ksOzUSCkAwGN+gteuGFcWyvheKiz/C OXrdk2f//DvyUCy+u6u5cUdfAGltqpscG4FjEP4XpV/DZ+FzYYmKZzKWdpjr cq9dgGhNDPeVZ6fdOH0CgUAb8PJwD3gL/ATHDaXpt7amXXgT0kgzYRSKUNFb PS4H/h1zJYCFIiIWejEwPJMOvKHbMU5jGbShDdDdvKSLXE/qv8YakdD23Gvn S7NuUC/PFqZegVXKik1KsJgqijOuIw3ftJsRvjQrBYHLSlEjEvLrSM52mPeQ MNp0tTZ6nI5OS4MggZ2iVvvwgCBRU3CK3WlgGmtyrp0vyUymA8KaKnMzqvLJ OdrV3BDwTtOK2tL87ubGcNAPyIq8dDyRcKSbE846GKhd1tUznY11cEXq5R90 xe2Y6G4z6wS+sr68kBgEJlyQcpUoDA2CTXQkYJYAU2/KuXaOJoMfeTJgQja8 k04CommnHVKEtWiS8bgZP8uyUi2mMkYhA5JNt1NDknnlDG3xTDkLUq8iFlur 2e2c6LI0IgERCzwKwobT5FoW/BimmkPAw/j5S73mqjKkV5B6DT7W0ViLHGiX rB8m+qOvwY5g0bIg3Mh4IdhNlaXgp+uhpoDPA+EsybiBwGGq1UU52VfO4s0X 9cAK3kvOorTrSG93f4szGdYco4NIGyMf7rFijfxDHUQWudcxoWSZ46UQii1O u46IJGCMHWS8KBp71kIw+zhip7PwFwKPcLKunqVfy2smmEq1LlgYplqWf2CO d2SQ3kEI09fRinYQb0ttBX1BW/3S2oRwyEP7AQN11IQ8PIAi6EfGVQ3YP/Ui YY3DlOQxWJmKcshGWK2/GrBM5DvY1UFUwn2MbbTPlpd8GSXiMBL75tri/Cym u6eCSJhQSJZ8A1hN48+Gg9geVcf0RUd8tab/8KcYL94BN435QX5GR0dDoZDA EPXJzvPj4+Nc7FW6uIg7k9dYvF6v/Bht3KsBMjmqJ3UH9yQ1ymoHGuh2u5GD RHnRaFQ5PrXpgewsvfczn56od2JigmL5ivFZ4AGAouDe8nFoaEheEZKXgLRF PnrVh0qWs4F4hGu+ovlQiEOvosvkoWKzxk1HJVS5SST282jdZ/8VQu3Xop2d zfU1r2tyQV9+o8dNW9pMu5ZHWyvOCLmjjRvzDPhGkzDO8dIWpC3LQsA8ODgI VLkvM2ACQ3shy+nkW2E4KIWvYBfogoZIHmSIWNAm99GyeqUrGAwiN0Qhixwo VkYAbcJH94NCaaR2kGgLlra3yYZJiFOgUsqEjUgVSJLa5d0rCkS5wOBZ0YWk Q292q5b6/X7pI9JeaqFd8lM4CYMBm2hTDO+QuOZ1KhvT313iWtW4a9irQa23 h0Js6osikD8hOff1t4F2kema3kn5C+WADZIT3715cGcGtVeDLFrW5lvCYSEh Ig1lutI648YOxuaL7pCVIFd7NciRNzyLsmgIbBDOjLJkJ215bU11HHg+8Rpy lrCO2qWxh/ZqoK51bR2dNl+nvTcUDfo9U5sb63pjl1eWoLUb3FErFtRT6s01 DLi3w+IYHTZ+K2+uSR+RVvCXvilvnsobfHRSCeJufUdbvblGToVW+51RNxvV l0WDPM4dbRIpEGA0oLELehKpyvBFOUiDYO3or+PF3mQ+BwKjtW5hPuz3B30z WCOuZFP3Ypp29NWPS/Pz+G6cqRoulCEhH5/HBVUmqNLWtC8v4Q60AGtrc0mj xFj1rPbiia4nnIVMQiowe2+ukW1hvrvFLG9myWtZC3NRrcClxU39ADJolSxX 2NxcZwRTb/cYkGzRoUBCRdCb2VAQxg5mOtf+6tYdrjE/fDQ+Fw+1trpXiOKZ 8iZUT3szfAAYC/OzYb8vHAxQApLRuPn6Oti0vqzPSUYC/vm5KEWu6V1GTSFS hWtiHJK8o6el+TkaLqt9KEr7TTwaieh+nzJBol5lPYgkgIJ8+jt6VBzy+Ri0 tUUFyxqVZXAIznhl5OcvQt7Yf8P9AJL19amJUcoRJKgDJLs72wrJnBFJKDRr +DlJsTvAIDEKEeUuzEaRz/LSooChitlImEL2B7qVwMy0yFYm7g6AsRM7WGQV Mdl0MHtiYYjw0yJdWdqpWKFgdP9N1V39tYubYAJ+W6tFFldvaJLRXleR5Ra6 ZFY1yWi/+2ueMYhklD3fRLJGiIGi9fFje3FulojJoKCtOcY+vXZsCSTqVzbj VDO9ZsbtkuUBmgq8Hu5oq7DWtCPDNvS/0kcwEkxFZ0d7L2Mqxqu/5QHAtR19 8bY+O7E1Gw4LbG3xa8C3uk9rySaiXtWfNTLeLX2+YkefOedyS58oQDthrd6o WrVLFaGA3zhHamS8ohee3NZtXQrhHyioVDfyPfdNgxDLloG9GBmvDmZ9R5// J8DUuuHGOteom+ubL2nOomHf8uI8nAxpr+gWZVhiseT3ThNHk5O+H/TPoCaZ hKf7cKEPXHOMBtzRrhcXkBV/tYVYx7uTvafS8e5kRz/di7juh0j/v92djHHS OMAe7072LtKh3ck0kb6r6Whj6LSr/7z77sAYdyfb0l9R/H+CxLhDgv6LzMa7 2H5q9+BWAPrP/e/Y0x0dJLGDezUcPTCb7xTMbZBsvBsFHe9OdhcwcTq7o7k7 WTzpmPHeSzpmvEc/HTPeu6Tj/XiPZto53o/3duno7IJ7dJDEjvfjvT8wYseM 9/6DiZ/xgsHn80XjThQSDAbjL0dSJBLxer2JKu3opHA4/Lbtupc87zR5PB5E mtgy38fpXsSVcJHOzMyEQqEEFng/iqUoCoyzEDnC/k6opO/HI1tKTsiY9h5K IlKGjjjLYQyPX3SAwUjiBJMQJGAASZz9lMcB4/f73x9I3n9gjpSCAnqKp5Co bvw0J04wtAgk8bMySqCcIwJGxHsXMPgOh8Nx9zleefc8zkQhsvgwIUlbQB6N Jqq0o5M2NzfVGtF48ryjRKiIMPmbwDLfx+lexJVwkcq0mLzKmsAkxcoy3YQk bT9zfQI2nqStf7szKllhG49sAZmQMe09lESkm/pbPPGkhLgDeT83TjAJQQIG tWvEu06Yorwk8v5AosBoS2ffF2ASqKA4ZcLjq6ur8ctEO/VL3+IsnkJokWzb FT8YmXA+ImDuIhlZG3C8quHopONVDUc/3Yu47odIj1c1qG+PVzW803S8quG2 6eisJTg6SGLHqxruD4zY8aqG+w/meB3veysdM96jn44Z713SMeM9mumY8d42 HR2eeXSQxI4Z7/2BETtmvPcfTGIZ79rqin1k0DPlML5aK5tIq4/hgG98sE9t gqF2LVOM1+v1dnd347MmJiba29v5yM3JyUmu/X6/ZOjo6FDn0oZCIYvFIlsG jY+PyzFqivFqZ+54vaqBHo8nGo1inGSjls7OztHRUdlDDABSZiQSMZqcPMKF nG8rAIAXDod5vK2tzefzuVwu4AUC2qYlFNjX1yet5iZQBZvdbj+kL1Wy2+2W zbhoIOro6enp7e091AFlfy3FZinc6XTKVl0IR9YuSk7jDmaRYGBH/52Fi63b MQT56u5dw0jPUDdNplHgucsjxrS6unrrzV1976xgMHjbR7b1k4gPoRL5bOhb Es3MzNz61K6+m9ldhgsyoEQ5XPjQU/ITKhfiZ7kmm9lsdjgcdyoNgxkbG0P7 siDHWKBaVUKBCErqxVD5eGueuUh4fU3bwmg+GlG7yR1COBsJve2LzOqHfiqS 3cAwSG2rnKUlOohsnkalsisXwjfqBaHZbDY6gvyyg/mhYhGFYrzSHGSC4cl9 Pu7qm5IhJelxlENmymltbZX15HQB+hqKlp+YDzFebHJ+du+IH22lR3DGZR+Z mXZqu0hFgitLC1jv4sLh8M3IeHf1jaqMh2Irxgt+oNLN6R1cMzjQs3b1H8gG BgYAyU16KwjpsMYgUTFeOuzg4CCmiH7JzPhAu4SMoXfskHZpp3AuLSFz6qIo qY7CkaEyRQrkDtaCQKgLydxdlf/7ych4EdHy4sLeNl86GTCKd3Nj3e2YkJ2X 8GRT9rElA7E8uM3ddjS018GxqsWFeTUOa7oOBaaddvLInmPq6NXd/bU0Cgzl y04L2n62kw7ZtFPSBmDsE3K62drKsss+JjuV3QmJ9DKXY1y2x4zpW2+F/DPa xow7O5sbGwHvtBxPtv/tTZ6pbXK1uCBv8SMcz5STnqtyriwvTU869nZDomtM 2o3HChgJFVXP68O+tvwmFPS4nNuGXSkAo+/0pYHxe93BGe9tkSwvGJBMOtU5 WTqSxelJ+5Le3faQ7I8qt0EyK0i2osGgdrKVAUnQ791Hsq4h8XmNYlHsjmeR ueyUuL62goLmDKef0zc1MAsCZm76HsGEAvoxWwYwPk0smAZgfJ7pu4BZ2geD 0U5POYxHsS8DxulYWtTALM7pYHTDPoRkSyHZ2opoZydPKgKjIZnx6ki0A+Ix m5DfewgGT8Fq1lZXucIelBncKZH/1lOG9X63Knayvr5GK+7OGAFGjTe3GpNT hvVD8Wjm9OQE5urzuBbn7zgVpgvZG/B51KaXxmPO/NMut9MOteMfXekucyBL C3Mz7inF62L7pwxrahUwTrvP4165q1j05qzQN6k6EvQf2p1sfXV1xj2JYcsm q/LIjr59m1FKDBpqr0LZtU8WjSSK8eKRc69faK2rMhVm0yJ4FEYLhoHujrqy AhmIGMvkqO6MS2/RKHNVaeblM6pYaQ7e+bOf/Swc8sEHH7x69eq3v/1tHOuP fvSj11577Tvf+Q6u/Nlnn/3jH//4y1/+kjtY6ZNPPvnKK6/86U9/wnn94Ac/ SElJMZ5AIed/ydwXN7/0pS8988wzsp0+1z//+c/Lysp++9vfvvDCCy0tLX/7 t39LvXwl522J0r/4xS/KkV6PPfaYHBP88Y9/PC8v79y5c7/+9a9BiE/kq1On Tgm806dPP/roo4gFhCdOnHjppZeoAif4oQ99qLi4WMmNch544AGq5vqJJ554 5JFHkADtwml+/etfP3ny5OOPPy6HKZPTarX+/ve/FxatTlD95Cc/WVpaSqs/ /OEPw09+9rOfCZdTjHdlaenMi88O9ViDPs/J555mdN1YX9UOEtrcRB2ohn+z 0UhfZ6vsx+jTxzd9P163OmI4ZqBnCFMO+6CxNTU1VARzkE1fycC17AyMW6f5 gEdx3EfI0C0A4+vhCZIZQdXX18OFuMN942wMJTQ1NckpIdieCm0ok9phcXIK MHZLjUpEMAqaj6hhxeTkK2wDiwID4YzsOUmev/zlL2gBLQuNielsJCkp6dq1 a+jxueeek2M+IDY//OEPUfHzzz9PZnmVRtqrNgpOT09/9dVXMRss9le/+hWK OCQuED700ENYJh8/8YlP5Ofncy3nx6k8DJvpF96sLsxeWV4+/adnhnu7dne2 kT8DAr1V77D46OhgjxWvwccZt4uOvLm+jh6V15akTqDAAj/96U+D8+WXXwbw T3/609dff/2pp54qKCgoKSn5yEc+gvDPnj2L2JUp0oRvfvObwHvrrbcwaUz3 xo0bxhMoJA8y4UE6Czqi933mM59ByNXV1f/8z/+MPLP+L3tn+tzIdd3t/+P9 lkolVU5VvqRS+ZByKhU7mxUr3hVZ3hfZlnc5tuVFtqzd0sxoFs3GGe77CoIA CBLgAhAkwH0FSZAEAe4LCIL7zuHgfW4fsqfJGVGcIcemFHapKEyj+/bvnnvu Pc+56O6bk1NZWZmUlES/uHLlChfFei+//HJGRgb4h7lkJQudeNfXVspNaZas G/LPtZUla3ZCjaOoq6l2fDhYVpBSV2Hu62ru9+9bcC1uIF5ZZakoJcGSm66/ GHPHsOYaff/VV1/9yU9+YjKZ+IyevLw8ejfexTCCchyGitD7SktL8Qe+kndv ygoU+B5moZV/85vfFBcXMwpRKUojO3jxxRcx49NPP80p+fn5WVlZ+Pk777xD ZWli2p0ujJdKWoHzUwK+R7b4hS98AfR9r/H2z7XpxMuHyZGhguSbtrwM4j74 l33jYk/HbhPggR6HrTQ/w5KdChFVmAvKirKteRlz0Uh7g1pTQOdM4nVjTWX6 1XM9bc2EBl9VeV7S9d13bu/sAJb5yTeIFBwDI3E5tZp2S+Pw4ICKGnvEq96B PBzmSHteZiwaafV6SrKSS3JSp8fHRExNudWen4kYwMRZnF9elIPsDc3m95Ss rTa4K1DS29ECoxal3XIW57nLLKglDob7ewtTEyrM+W2+2oGezsLUW47iPFmI Km7gTLVwW8CvVmkvNc9MTjS4K81ZSRw5O6PwG0O57GZbbjoGAS0cpjx7QXZ1 abEsgGUEqsX5mLvcmnf76mCvH8gvTk90ai/Pj6sEbSvcp8Q4zfnt9XX93R1F mphgj3+/kk325CVdc9lLlBJXBTZxmPPlFbWgEde15aWrlReGwuXFuShxoeS+ F88uornMkpd4LdTbjRJT+m2UNNdWxzXeCPX1FKYoJR2NdX1+pcSpvcxfN4vQ HR062O3PS7zuLiuB/XwuZ0lWCkfK4stKjM1Ei1RYlFkY5coKEWPe3L8cBp/n lQFL8hOvDfb1jA+HTGm3Hea8llq3iBns6xYx7Y3evq62orQELIzC+8UMdHfS RtoacxO4nCYmX94kDIdXWTUxJYXjQyH8Vomxl8gr0PeUqNfJ0pQoCfX1ohkl TpR4d5UEe/3SQJ1NvkCnUlJenEerGWVAPsUZ2soXw+H0q+e7mnz6u5rlfcto 00kMf6iwFGEx+adOvDgDHSf50h8nR4e9leXZNy+pkVN7QzLYzxHR6Sk9ueOf tc5SdHJp2SPES9Vw7+KMxJyEK1SqymZqrnXNxWa0N+vKO3U3BJLR09HgRfNg wH+PEvcgE8Str3ZmJ1yWVZI9jlKKXVlawhW5xLb2jt3d9QiGw5iU3jFrSEtV xry2xjGh/h5TRiLIR9NMjY9y2pZWAlfkeH0WlNjHIENXostjBGQzXOhioF+6 c2l+FjXqbW9Bm7yRO9zf46sux5MlayOrteamy0LVcY1O1Ru8T3QFCgYWGgiT yrvEm2qrTem3Ki2F3qry5ItvyroksrGH/rWjLc5oSk/Ui9VXoHj++ef5ltAA inz605+GZIjaEAWxBiwh1sgsE2BJfIGC+MxXBCPCmT6A68QLOkoXI04R0wlM MsdCIGtpaYnvrTJMMOJI4uPNmzchLimHA+QU5BG7CWTEx8985jMcD1cQ2SEl gYr+/n6YE7gCDCgBndRCFwM/II8IqBsB2NNLhooJpsRNPhAuEUb3sdvtAJhY mEgtEK7T7MzMzNe//nVqDX489dRTg4ODoJfYzbjmWvatK8UZSeVFuXQ9ogn9 nc5VbsrpaWthSKkpKyEKMASRvhWmJVSWFJKemDOS1ILd2sqJejfUEQ44p+JU mc/UCJuAUo2NjVgA2VSBVqNessga8miR//zP/yQNwbwcDFpw7je+8Q14A0uW axswz+nS+tQLM1ICx1RXV1MjjAyNxPeSF76CJfgWruaKGMFms0Ea2AGzA2xg LccAe2QTUBZNBt4APMAeUjkRdEEnjMp1dSfHlzhS6BqDwyey7h6jQm5uLjkI IIdgGohKwXXYgTwI+KcorkKORh2pmswV62uucQxX5DDaiAbFk0nKhJn1Ndes OWk5t69UWorS3z1HekIQJ06ZMxIZVUrUGqyVzR4XSSJtxIDDoEQ0LC3IhBZo pu0HrbkGsiIPa5Bw4Z9cnQtB7NgB6pbV8WggKFQf2XB4jIlPAngY2fhjhBAv dcF729p2V8UC4fgnRuZEPJPL0bipqanZ2dlUWcYHnBAfYD/2ga6xj5F4GeVa vZUue77bXiBlrq0sW3MSXKX5o0P90alxe36yozjN4yheXT7427ROvIw5sApD cXd7sz4PqRMvImliGgUvotXwE+yPV1y/fp2Mhq6NfcTlaG4yL8TLQsDGVYZx VPI1sm/p44TFZG3DXBgT90tISKAjYBkMe/HiRQYTRgCMg3m5royNssowTogk xqsTvH3rpDadeDGjto7S1d6OVnIrGsVX6cAt5TCihraw7wqg1aBWPsrheIJg c53boa0RLJypflkbDiVdfKPaVqzWp1BrvKolesVd8YLu1sbGmipCG7DaUFPZ 29k6OzNdmp/pKbcNB/t04iVs4+q5t6/COYR7h4ZS/tbGljq3iAG2OcZX7aCb gLvrqytQDWHXqGRsaDDpnTcgVaIqQOW2l6j1jnPTJAh2NPoY9IhZXB1Jwd7u 0VCw1mmT+uqcCdJbctKIVoDQ1NgI1MopnNvdqixDIIMzF2MxlHirytTavtGI p9wqM7Q6UNHZwaS0d8/BMDPTk3xWqwxPTVRZinC5FcQ01IH97NHEVEJ6I0pM qVEJId6SnQLGhPoDKIHugJ/2hjqS5V0lapXhmK+qDK7QVhmO1JRbZGFTXQlN EOhoRQnHRKcmaWvitVJiNdFFCRxtDXXaVMk49qeBwoEetd5xhV03y+76YjMR c1YyISM8EJhETHkJ0NWmxLRoYsaqZcnjijJftXN3yePyg0sec0XCkBLjUsvv 9nS0tCiKUGJkcqbV5+lua5YljxtrKkL9vWrJ48qDSx5TOCMkeoYGlGVIanCq Np8n0KnyNTxQiYnN1laUwm+1mhi33RLVFsjYU7IBYqVdPVfvcmIWtcqw1y1K tJVTFiiNqoFY2nrHFeH+AP/R4kYZ87GovTCb/K68MJtkram2qtZp13KQwu72 pqwbl2x5DGs2fXkI8ggaUepyj3i3tkh5sm5eIrsszky25WbQBVR+VJLf5KnG 2XJvv1tTbpMFStSKSAF/Y021vkqv8a4GKB3qXlqYp8Pm3HqXbkijd7U2El/w GUkcYHsU0hn7/O2yIlh8/40EdNXORh+ZIPW15qbl3rrC1VFCihEKdFOaWkLo zjZOW5B8A+vh+TpV7ltzraers7l+YT5Gi1Nx/snQwWBCq0GwsqgKstlPdeiw KMT4tKYuRi1FV2YhexoND9J/B3u70UNYJK0rSrvdXl8rPyLwFaMEVzkw0OnE K6S0tbfJM6Hxh15zbR79uK5aA7rcykiYq0bOFvzEeFHoNz/5OsIYLS3ZaXqx RuKlgl/5ylegDiILsZto8q1vfQsm4QBZv54PoBHBHQjhM6dwZFFRkT6A68TL ubKTI2HaJ598sqBABdnXXnuNwBffI14Cd3p6OjAA3sh+NuI1p3zyk5+0Wq2A Fid+7nOfI7ITv65cuUKwg6IjkQiBD3ngXFxbJRnB7EenXuXPfvazRLp//Md/ lIWD2SA0KPe//uu/wDlKhhw4Hbrj0lSE6oO+QsgCYE1NTXED8WIlyB/45Cog TV9fH5EdVjHOA+OEZYVZBBGcGbdhdE2++AbeThpC105793xhyk2anG8ZnP1t TTs7d+jjuCtDENkK/9S7oX5XA5EII3Ah9GOoa9eugZfIgKzUEBeJQJI6mkJE 2I0PyKaaGJw25QOa8TGAAcvLytFPP/00HCiTq2+88QZVhlXgJZnJBxWkKWll rl5WVkabQhS0DgeQDsgkPP5DwmKxWGivW7du8S1sgwCyD9gGGVwC7uWiCGYP Bpefq5AH6ujtJaSKPeMa8QJsSKW70VgUSMXRBo2Pjo5C2pAwV6RwYhbtLg+T 6sTLfk7/8pe/jH24NK0G8U5PTxuJl87b6nUzuDEi+aocqZff8laWkZXQmyqt pquv/YZ+SY+ud1UQtdUNCdOTjFrELAYo4++qOvHilhgZxgPjsQMYFte4DuIl AcF1qQJ1p3NRHSx29epV8o5///d/5zN5E21nTIGFeDE+zim3RmA0mB/I5xJ4 Jk1GxWmmr33ta5SP08pIixPSBFyus7MTt6fX6MTLeDM1Ppxx9XVncXrmtddj 2kSZ+jF9cX4o2FOcfnVhfjYyMQr9lxWlOM2Zo6F9k6I68QpKMdDl3np3bDik f6v3EdINHJIm4Op4AtiPPGi/oaEBRqWjEaQwF05FskMmi2vF9xPvE088QS04 l+5GLXAD/IeBgprSlGTceCBdG8/nQ0VFBZWl7zPI4OqycHP8A0W8Mm0uC/tO jg0zUHQ0env35niFeDfWVwlt3moHlMsYXm0zN3uqHNo8lT6zurmx1lzrStIG HMoE5zhA/AonADKJFBrxpsBCBHdiNyUTy4gOxjleOIoYCj9AwvQCcIIxilBr ELOuOo6IWV2tKjWNhQf3KVlf4/jkS2/SrYj+HodVoXJu+ubGugaZXvCb2Fqa l6HQrq9ndCgEkEh9jXO84b5eWcGWKA8vzc5EupqhZZUXA0WuUrNa/9TlrK20 w6hUx+O0TY2rhQ6Nk5l0agrPuP4OozGRkaDMudVW0+bmhsaZtYT4WdXBMxvd FWCkjt9GJaBCXuI1W65SwlXmZiIdTT4SgT0lxYvzEK+D+mpKIlzxAHvzeREl 5daMa+80eap621t20c5WtEu89bXsFPYGSIaCKBkQ9o4b6E4T489NvGrLTQeH uNDc7IzC77Z9+O2tLhMxGn5b5U6A/VPfc+zPRExtNeeCuJoYiHdTVgCEWhV+ 52cyDI4E+x+I3zIHC9SV5mUGe7uo3dxstF2ZVGHPLvEiplLE2PdygckDU99g cMb1i3gvzA9BGYm31VdDngLJi1mGQ/06e98j3tkoPlZXYcdpKURNijptyjeq Hbh3vVpieNJdVqKv+wzOkRFIXXTi5Vu43WnOI6kkR+MDHt7X1U52A+BhBMiz vcE7vjfogaydTb4Dc7wyDg/0dFIL8L6ruaHf3wHTUmCrt4Y2pYJB7ecM6Beb 0CuxqiQI8f3EK7Tf392JT3IYx9PK1aUmCiSL7GzycgAdivo2eqr4S06h30Fh JF48Fienu3U2+/iMNm255zQ6MgIkV2WDZikzpn6VXl+cn5e16u4teby8hEiG DkiGrk2GXmbKqSmzkistL91bwh5HwmIHBjqdeNXctfYiyqi2ycth4g9DvHQT BHCJkqwUWhzuba5zZSeo9e5pernxhojHTiyWeePS+toaA+mtc6/KLR868YJ2 EAux6amnngISiLOEGMIWYyD8kJyczB6CuCxwT6AhrKelpfGZE7/3ve8Rs4x3 NVDmpz/9aUJednY2wAz8EKyB2LhGs8R36g7AQFlEK/iZAv/f//t/Pp8vrsV6 gjin8NWPf/xjDgsGg5g9JyeH0qAd9BDFZHYX/aAXYEMAhRnoPpwLziGYC6Gf wy5pm5QMJHd3dzudTrABFAefzp8///GPf5xY/Mwzz8BRxFM+S1cCSAQkjHO8 7JE38HBdgPmnP/2pTH3rx9D61px0dUvM6mpZUU5fZxuBjPil/LzXXyITBYEe W34GYwJ5Ol+RnrOz0V1VrmZs7urdUPCMuqOf7ABcvHDhAgahgoRyl8uF5YFG wABMBRggYfCJBAQAQBinYCIsRmPJMXgXZrxx4wboRfNBvHJ3BOBBxak++zHy Cy+8QLEghPgq/xwbG8PUoC8sR8ky5YsS2IOr8E/aDrQTwKA5OB22QS0ZCkei E+fBE0AgQFS/L44qwGz6EIrIZ599Fv0cTJUphG4C0iBVJnURgM/QcFzCbrfT iHAvhcidtDrxAoQIpjkwFPXlFNzPaFKGdFt+5sKcuoOXINha57blpzd5XAxf Y0NBuhKhuaPRV2EppI+r5mvyEtpM6YnEyuLMRONKUjrxAlqkb7jWRz7ykY6O DnIxLo2JsComgt6B+b/6q7/CsWFv5I2Pj6MK40h/QSRtZ7PZ5FZtIV5swrl0 HGyCo/7whz+kvhSOq2MNnLynp+fv/u7vuCjfCugig+pjQIoClTnGOMd7Ry2i Ot3fzcB1c3FhrqmmbH52prPJ0+qrsubcWltdWlJBsKjRXQbxdjXtS5l14iUX 6PN3OM35GTfekSAb3z/Hi6fRU7go+SMeiBj6OO0lE9TUKBAI0JS0FBUHaOVm eJ14+ZYqxDVkxRvxN8YiqhwOh8kXSGDJNLEJboD3ksBSRyqLB9IlKQo/lJGE thZHxRXp3ZweP2WbTrxqHrKrDTrNvH6R4A65WXJSK0sKlxYXOxu94yNhl91M xCTbGhsOk1AT2c3ZKZHxUUK5fleDcu9oFBDNT77B6Rtra3gvEWFidGh2Zpog NTEcLkxLILzWlFlCfb3mzCTKbPa4+ns6RweDOvFqk6KtxMSsGxcJFnQQp7kA 2CCmEBAnRoaqbSYooiQnlVhpL8iEHBjW5Ndeg5KZBpczP+k6SkDQorQEaNBZ nAdLE7WDAX9JZjKoBlFwCerlspd0a/QYN3Am3dPf0ggVF6YmAKXQCyaCwEN9 PfTH4WA/0b/KVsxOqsPgWVNWwrcy3aQDFVAGdwF+eUnXiJXhgd6SrCSPoxR+ 3hXT4zcrMdb66grGZGtOanVpsUzeGpWALra89ILUmwgmoaAuFebCUH9Pd2vT 8GAfNgHtnMX5aGPYx8IoWd9/w+qd7e3p8VGlJPF6pbVI/ZyUlexxlrJnYnSY LAAQMqs4bmtwO7vbmuF8l71Y0DFuoDvEdCImN71IE+Otorfma2bpFbPAilTB UZwf7u+BTJQYS8HeQsP3xExpYvIxi4jJTILz65x2HIaoBBopqCi3kpIQvCy5 aeQXehZ2T8wKYnxKTFoCrotnVpTkV5i5dMDf2kAmxSjqsplpIy5hL8iCsdkj z1DoSmgIak0DwdthzTMRRhYzqZT4+v2dJdnJNeW2RnclTsLgjKn7utqMMvC3 2opSOHkhFmMYr3FYUQv0lhfl0MTeqnKNeM1CvNqwX1mYdktuSjES72BfN2R7 Z2sLn8GjOhrqCA2cThWwA1kPHCvEu7mxAdhbclTSITc/G4mXdBK+pfzOpnrw DLUgOnXEULRIQBNPr5SpMHwPc4lhDxAvEQdaDvX30iLwA05CnyVFosvQWCvq cZUdXIXmrrIUcrB+w7aReCFksob52Cx/7YXZtIJclE4Hn8j9J1Snrd4DunCV 8aEQVAw8G+Z456hIS50LxC3Nz2A0oCKkFTQTDUqaJrcSYWTGDTKaZW00oGRS m21t6uak7mpQj1D194L3Q0E1ITPY66e5GZTu7uzQU2S+WiFND+GrWmbjaTX6 hdzorhMvQYSoQSwmWBCShPqImDL5zD+J15AwMV1+I+N4gpGsX+/xeDj37t57 1eSKBDuzthHiRTORmv2Dg4PyhEtVVRXECOuCnXHt5gc5ly4gk1pskBuf5a68 SW3DLMigWCANDdtqWfZNNHM5AJV/UkhBQQHc1d7ezvFxLW5CuXHtMTT9tk9K 5nTMyE4uzVBv1zYRI5vcOKrdFL9Ls5hC7gZUPwEEgwRrvUDD023bkmioicGp SRyJHLDdVzMSCrIfL8SRGGrwDewVHuijvbSnHkKENv2njbgBz7gWIRt8IgVQ j8XNzsI/DocDMeynsoRyubGWpiT1oO6ciH1oFGicE2k1zgL+5TE0NtoiLy8P fpAMS25ahsowGp+rq6v5LBwic27qjiDiYCCAofiKq8Ns8AZXpxAEcADHQ1w0 BB9oVlwL+/CXY0A79ni9XrmEXkHoyMghXJq2QDANSvkyK4uPcRZ1px2pHZXC B/iWOqKHf+rP2ujmou7yjlyUUL7MGxuPUcVOTWxr90IszMUYWLRfWuvIphmF 5mejIDFoQVIMLTL0MRTEopFYdLrV5zE+rhI3PLmGq1AdsSSSuDQVgcblWTZ5 5Ira6c8eHqg+gktLS/Ft6Y/6k2uc1dzcTFHkiVREKkhz04+4BJemf1EO9sf/ MRSNhbdTDs6M/eUW7vufXIvNTKlAMxpihAz1dXU1U68Zyl6ci0WnxsnauluV WxpraryPF5sQJdvq64yPMEi/5gCxv1SKwYF68YG+BpnjCdQIg9zPn/qTa4yx +m3knIhH4fA0elzLv+i5mJfTpfq4H6OB9Fx5lI+0Xfo7DsMIw+mUJh4bP2Xb vjnesZEKS35ncz02pBVIJQiaqysrmHpleYn/uprqxxnY76qbHhkr5Bfz3RsC 92ZWoVx/WxPxSP3ciZUGApQzOTZMOJd77YYHB2AGWgOuJViAKHe0HxbvaBr0 Od6p0WEot6tFRQGwjVOGB/sZ2abGRukpFI4YuEiJmZ2l48zs/bC7T0lro1Ky vLRz5w4hCS5aXVmmr0UmxvGGcF8PgVi7nXB1oLsrFOi+96SSYWZ1KBiospjo mHSYxfk5QBQjcFJkYgzXnVO3WzTNTI5zCQzCFef2bizXgUp7Ck/NWLpsxZyi ngEMBXs7WvisxEwiZg2iGOjuAHgYgeH/8J6YfbPNA4FKS5GandtTMqEpmR43 KJma4GD0AOpze78EGZUw+EMdwBgIIE8jklzQOkuL86JksK8H1EQJZarJvb5e o1n2plU3ASR4I9jbJd4CkRLrlZiJsfWVlVh0pluJmdTF6KPWQTFeN2JoAvU0 4mA//rBOt1/YNctgwCDG3wFp7NwnhhEy3IdlCuGKe2LGRnbFrCImgv/gISoy TozTRvJc234lc9AULAeWEzFxNphwTSmZn5kax5coHIZR7CRKBgLyY6hRxnw0 Si34TGn8p7VIozp9fQ2vwNqYRXBUHvaHQuWGBJ141T2Ey8sij6JiMxGOHAz4 MQKOQaTgW0qW3GFzfX0sPIgbEM0lBhmJl26CkzBA8T9al/+WNGeDyoYH+vSH 5jAOSYR6lmfPsEbi1R7Hi3GwmEK9vHhxHhm0PpBJeBLfwGLgHyL1m3Lj+4lX iZmbQ+TC3Cz4jV+hjWGEQkjQ1rRHfbWHMVV1aLWZyQkGB7TpYlTaOD4Kq5Ae Uhg+j21HQgNckbSXUUXuQ8bOlE+ZMtVME8hDeWdvJ/tgbWdvJzv921HM9ThM +n/z7WQqRqyu6k9bxM/eTvZI24F3NYAHGxvr73vW/dv+NySotOXRxBjf1bC+ svwIoeFElBjfkADYEJEfoYvdPfAqgO2t5YfvAvuUqMnV5a0TUbL4KJ3R+HoE xKyejJjtExKz8rBiTkTJ2dvJDhdzzGB3qt5OdvQXVR2yUcgJxmuV8p8o9Z2S 7Y62NNLxj3mo7cNqzMe0HcVcj8Okh7yi9pjFHv81rfqGwuPDpJrAeW9VwkvH KV/o4jglfOA2Mekx43X8hNpX8PuYYk5EiYIfdTfCcTGGSH1MjDk9SnQxxwSq 0yPmBBvo+DYRPjxOIfG91yMcHzIp5ESIVx5vOSViDrcMcflw4kXD9PT0/LG3 qakpuX/4RDZAfWJi4qRKOz3bUer1OOr+oTTm49uOYq4TN6kspH6yZZ54sRQ1 OTl5zELw8ENU8e0xL0HJlH+cEj5wm5g0FosdsxzG8OObTlrwmGJORAkaTsQs MzMzkUjkw6FEF0MzfWjEnFQDHVMGp5+ITWa07ZhiqBFKjk9lHywxjDyhUOjw OV5O3zr2pr++/kQ2OBzjnFRpp2cjPSEcH/+Yh9o2Nzej6sakzRMs80O8HcVc J25SiqIHqXcwnugmxcq90ydSGgoZu45Zjjxmy8jzXt/i/49sWxF5ImPaB2g7 3KRH3E7KdNKCxxFzUkrwfAo5vlmWl5fl7qAPgRJdzIZ6reuHQcwJNtDxbbK0 tCS/1h1nk0KOGV/khtXjU9mStp0eMYdYhv2MPOFw+Ow+3lOynd3He/q3s/t4 D9nOVhk+ndvZKsMP3E7P2r6nR0n8bJXhxyMjfnYf7+MXc/bk2gdrOyPe07+d Ee8h2xnxns7tjHgfuJ0ezjw9SuJnxPt4ZMTPiPfxizlx4l2cj60d2l6bGxvz sejdvbbQPUQnXvk1Sq1Bs7IyMzMj4x47+bz7Qo/19Wg0qmughKmp3SXt5LD4 fuKVcjjl+M9lPHAjvBpdFJPKirQPVYi8/MoYxI1G1jcjzdK/9ErxmdPlK+Mx G3TkxYUDnr++tnbg5WPykpNDtOl4Ju/aimsPhrAtaBtXlPe2bWub7JSDMYUM JnIHjvxYSWn8U37pYI+0O5/ljdCGlda32KM/Fyl15Hi5ECUbxyj5Vu7P0RdN iGvuIVYVbVKskKG8y0vezSVuY3QV9k9OTj4CnhnNhQbdV+Uz+mkO4zFb2lvW DywZLIsNHWi1wwcNnXjlrbzyQfTQQcRWWECsvaW92ks/V1Yt0U3N50gkcndv zRExoDSQ3tB8pjoUS+34rD9Zv/s2G+3xSWliaqqXfD/xbusVV6P96uJc9O5d hN3dWF/FLGvae8nUKpaan4uVDhDv9vaWsWvrxHtXWyUQbcbPUvfp6WnZjxi5 a25r73aguIF4+SC9W34Fkz1ydX142dJeVqxbm8+4DWaR5p7XbiilBLGGRDQ5 UXvTzmMZkR5hO0C82/vdY2e/zq3NjaXFBc2oO8vqxcX3vjVypnKGeyuWbi/t f/5duf2ehzNMra7c68sHiFcXo6y3srRpiHrsoZts7761Y8c41r2XkvurgzYK 2dxkZNvZWFMhUf/KyJl3tYWApfz7X1DAMavLS/I2VFXg8pKu5ABQqWWs996D gRFWDYOYen3fxsaaZgoRo68keFCJtvxK/EFvJ9hTckdXcvdISjbeU8nOzrpB SXw/3e2Kuftgb9EGhLVV7RVYd7aPKiZuAANjG6kVgRGzvmYMWA8Sc3fXMivL 21tGy2yv7h25K0Y78jCzbB40iyxEuGuW9VVdiS6DeKPe4rWyTK1lcefDN2P3 OUC8WkebO/zVE3e1t0Tqn/mX/vgbWjbVMLq8uoIetXLx4UrkdIO59l4IRnxf XZZyNg59Bg2brxAR1vY9eafj94mIie++n2cFI985AmVp5rlXzgkSL1d3mHIt OamFqQlTYyPy6jz2h/p7Ohq9d/YCYnWp2ZqbZslOUS8F9daUZKfoxUp1HA7H Jz/5yYGBge985zsvvfTS9773PULG//7v//7sZz/7wQ9+gJ7XX3+dD+w3mUwU 8tvf/vZHP/rRzZs3iVyc8vbbbxtXoCAeff3rX3/xxRdfe+01Wd01rrm0jm1x LaaLBvbroXlN2/RqYiX9MM7SfZIPly9flmUF2Orr69Hwwgsv/P73v49rb/TV 47J0qO7u7qSkJKkpl+NbYqI8zPiHP/xBXjzLxof/+I//kNfXG58912mWv9/4 xje4CmYJhULf/OY3+ZycnBzfo5e49nZrtQBNQVZJVrJ0WzwNn+xqaehsVIvK 4ZkKVldXOhpqhQqkjaQ1hS5kv+CZrHr27rvvYo2nn366uLj43Llz7GlqavrY xz4WDodtNhvN99Zbb/30pz8NBAI//OEPxRSZmZnPPffck08++corr6Smpn7l K1/hA8135coV2pHDMEteXh41Yr8YE8tkZGR87Wtfo4I0LnzCZ/zhwoUL/f39 lE/Jv/jFL2TBaFr2q1/9Kt9evHjx/PnzWMPv9//rv/5rS0sLLVJYWIh5cSEs TLEpKSmf//znqcLVq1fHxsYSExPxH77lchT761//+s033+QS+AyXoHYPu17A XcMKFJRGIVSwo6Pjd7/7HVd55513dl+Mv7fmmi0voyQ7tSg9YXJ0RGs1NThM jg5V27QVbzc25NWOHdpLko1tdHdvZJYeLcRLBW/fvv0///M/VBDz0nnxfK6L /RsbG8vLy5944ol5bUWMnp4e3e0bGhq+8IUvUFkahRb89re//cYbb4jX6be3 4V0YFltxMMfQiK+++irH4wM0ItUcGRnp7e397//+b0qGsemksl7Jl7/85Z// /Oe4fXw/8SK+ocbuMO2uukiMqLblWrIT3PaC5YW5kswbjuL0Zk95dHrCWZzR XOccDfUFOpvi+4hXvY+00lLkLrfoL5bUV6DAwlScNsUDZSFsfMntduOufPjx j3+Mp6Wnp6MNx0MnNsnKyoobVqBgFMLrsrOzr1+/Tr+m2GvXrjU3N1P3X/7y l7/61a+CwWBBQUFtbS3HMw7wFTsxBX856yc/+QlDGe1Ol8EI7M/NzeV4Og75 Gu1y/IeyT2q7R7xkAfMxpznf4ygFGGIz0wzXAz2775Fm9BgNBy056fUuB6OH t6K8MC2hylqklvsM9NzdW4Eirg0gA71dpvTbY+FBWKU0L6M447asDqycf3am OCPRnJnU29EanZosTLlhzkyWF7nHjcSrvaTaYc6rddrB4/7O9vykG9a8dHnV GDxABClIuekozFlanK+rKNPEmA68GRgl/d2dpvRbKCEqdTTWleZn6iFvfjbq Kiuhr40Ph4aC/QUpN8oKs0dDwejURCw6o3OmevPz+JijOK+5zr04H6MzFiTd qLQWyWusqGC9y1mYkuApt0Yj0zV2CxX3VTsEgI1ABcR2Ntfb87OmxkdmpiZK stOImLLGhLY0cxid9vzMYK9/eHBAxEyMqFfZG5VwLkowJnZob6wrSL5BrSV9 QImvykEI9jiUEndpCUoaXA4dCHUloFpnk89ekDU9NhqZmrBkpVpzU2WNCRhs bChUlKaUDAa6aRdRMqUNUHED3cnbmx2mPBqCODIyOFBWlD0+tLsQGGNXv7/d lp/BhTBalc1sykBMxdJ8bCQU3C9mtaPJq8SMj1GFxprKmjJrfK+N5mYjVbZi l908MToU7uulvuVFObTX9OT4QmzWKGZydBgIafN58GH+cmS1zSSxj5aqqywv Sk2odZbORqZoccQ01lTtaJMb+5Q01CklE2ORiXFzVjL+L8s0aM4/WJR6y16Q Ge7v5T9RIivriYztO9tTo8PmrJSUS3+05qTRjvuiqpps2WVg3BLDau07pHdD nXjlWuaMpJKc1JoyCz2RlE3db7y40NVcPz0+KgVyaZe9RF8lLTYTGRnsX1qY lzcSYP/ejpa8pGvpVy9U2UxTe2dJTEeKjp0U3uL11FXajYt46pApa+elXzuf l3itp61Jlj1SRWnxS3GCVizjOQ2trflbqPfl+N7rEfgW78pLvJqhicG8BjE7 +8SsIcbtrSgzvnBeF0OlOhq8DBcEza7Whi1t2sqoRy+HU3A/7DM2NKiXc4LE i18lvP0yYwWRi57urSqnr6G8xmG9/sbv6DjSojhGXxcD13VaHH9gBNOLFQ6c mZkhGHHYM88843K5ICsiKXEW5mE/MQXEBUg4/ktf+pLVapUVZgmvN27cEOS7 a1iBAnlEfwK0x+MBfghDjKUJCQmwGWGOKAxNEejhEMokKhHXwDMC929+8xvC paxAQWlEOkInp5eWloLQhLzOzs6amhpA4hOf+ER1dbUcBhLIShAwWFVVFYUQ 5jAgh33/+9+HECj8ox/9qMVioRYUSPiD8agXkACPyavp8SH2sxN0nJ6epoKc SMXjBuLFSsigXvzt6uoiLjudzra2NuMxDB1ZCVf6utqyE67QFzwOm70ws9Fd 2dnS0F5f29ZYZ0q7nZ98gyGr3u3o62wf7PUzCPNVZ3MDqIxzlptyJRHWEQ5b 0SI5OTkf//jHqQV1hBgxxec+9zkYiYCOfQAJDFtRUYE2eewRy2BJqizr+cIb tCxnwZagCM2RlpYGb2AK9svKcbJor6z8xfFY/lvf+haXox2BFvBMFqEQ2MNK EC/NAaLAM9htdHT0qaeeAjzsdjuMDYABPBgcL0LwZz7zGSz8xz/+EaPRNFva tABuBunJ4iZYkmNQ+Ai/rhoTBBoR3uYv9cKdsJvX65V5cjlGW9D5NkGQ4Tfc p3LD0sLMKkvR0GB/tbU4HAwQRhmy+IqGCw/0tnhrGBC8lfaR0EDWjUsFqQoV ZJ0Rfc017EZzFBUVYV4QDurGSqQAABg7P/vZz9JNYDDxFhkZcGCSBfgNw4Kv 8qOJcY6XYuFn/I3qcCRWAvmoFDkFOWZ7ezs7aX1ZmAw+lNV78QSuiKkZZMBC NeewR7yMS/3+FmvOrUpLtm44lXIuzJkzr8dmpopSL/e01S8vzU+NhcsKUp3m 9LqKEpld0YmXgZqhOOvmpSZPNSFVijGuuSZLA9ODaALk9fX1Qb9ooLPjjfB/ fG9pNg7DvQHRu9oyGTKmUQ6+RP/CXAxH1AWfoSIUIut0QMu4E2ahNSHb/Px8 RgZcXeCE0hgBKJYLkV5hcHwAN3v22WeRRAd5KL96rJtOvET8ipKC7IR3W2pd S4sLWNVZnN/d1iSHEXnN6YmQ3shgENyy5KSxByIl0jnUKo17K53t7AAnaVfO lZmywcgRbYFgqNiSncoBRCUCsbeybH5u1pqdBrnh9lNjw47ifF2M9DvEcHXG olavOxqZqijJJ2qrsau+Ni6rDOdCv3OMbK31HihFiSnOmxob1ZUIRqKk3JRD bFJBJ9BdkpksE2sqRjfXM9D1+ztmpidRAnwOBQNOUx4Ey4k6Z0ICpQVZhSk3 u1oaxoZDkC3f0hl7NdhQKwXbTPytrbA3earcZZbZ6Sm3vZi/cQNnUvGB7o70 6+/gtCOhfsIxdApWYU++QnxXk6/V5wHb7AXZzXUurBQKqOVf4wbiJVmA2AtT b/pbGseGwjXlFkzdXOuSlb8YCsAJcB2uo1MoJZEpV6l5dm9JL10JV8+4fsFl M4OpnEt9d5Vsb6lFcJq8bfV1EyNhe2F2c201iQkR3FdVLg1kXF+sNE+tcdbV 0ri6tDg5NkJDg4JyGAYpSr9FJjI5NjQ+MoSw2ch0haWgzVfDToOYTZAg49qF 6lIzME+nBupIo3Z/VVxba2+oAxhIuygQ86KW9MpZku+rdhK8jGJsuWlFabe7 WxvhYeqOHo4f6O5UlpkYIy/Ai2g7zCWWqbaZsaeuhGGur7MVJWASA6xa5s9d CYQjRhHX0hK+h6+SDkCqTbXVyA72dGG6+P6pZqJtrdManZ6cnhina4DltCYQ SLNWWgslI1Ar1IyESS1Hgv16N9SJFyNwIXgbi62vrpKVgNZkE5giV5vFkl8A cUuSQf/eEoHYBz0Lc7P3rTLs4chgwA8PDwf7cNqu5gaSUJ/LgdS49jMK7lRX Ycc+uph9C/suLWqrDHegOdjjhyEptqejBTfDFFhY1rzDFM6SAjxWz5HjB1cZ 7mhvqAVlgQ0sPBzs18TUI4ZzY1ElhmiDPGKcvmiyUQzn4id1lWVUk0rRc+nX 4YGAv7UJ/dm3rlRbTRIQqT7le8otQwMBvRwj8d7dv8kBD3VXA+WTsaa9e44P 9FxqkZ1wmW6L1xlH1wZ3Jfnjlvq1Y6UkK1UvVmwbiUQIzfjP5z//ecAJUDSZ TIAoOArXcQAYQ8DiA1GDSPTaa6/xmVDCB7PZrI+Z+irDRH/KId4BP8RlWQ74 9u3bUJasDSpFpaenUwLXBZ4RQBCE7kCUuEZfQALRE+gijkN6kBIMTLzjKhLy 5DC4S5/URTDIQfmooky+JewS+86fP8+38DacNjg4SEgVhoQYhXhpES507tw5 oIsoSa1RS/SMG2gWoobkb926RS6AcuIsxCgR/N4qw8tL6VfP+6odMBWBg6zT 47SZ0hNb69zsJPrg5/gnQ1lpYRY7iWtk8TUOCyl2oLOtzVsjDafjGcYESiEf IJ8IDruCoNi2o6MDw6IfMUAOOxEmk7RYkrqjBwzAgEK81A7yByxffvll6k4D QR2yajCnCIlhLvYAFfIBo2EH2BXiYmiCuGgdyhGL4TMUAmjJDB4MBlegB6mA LhySl5eHI+FFtB2XxhloC3wGGJPZeDE7zQcu8i16qAXti2H1udAjbkbi5aIX Llyg4tiH2pFYoV96nE689AVCEvGaMS31ylseh5XhnewV4i0vylZLw6scxEfI Jr9220s219cJeX3+dhV2hwb5LNfViRcXpcpUEP14KZmgdGQagqrh9sAq1iPX oGdhUpnX/bd/+zcMAiFzorE6OvFeunSJLvnkk0/Cw9RCckNQmZ5CoodjwJPk ODAhRsOAOC02pLk5WGKK+mFLI17+GZkczbrxRq3TXJh8aWlx9w6B9bUVV2m+ v6XuzvZWqM/f4LKV5ietrS73d7X4qqyO4gxvpXl+dkYnXgUwPV1pV8+X5mXK +kRxA/HSR+hlOACegB3KysrGx8dBUJywtbUVC1Br2ggfEBOhjbY+QLx0QxIf +jg9FANyOjkLySmHkVWRHQjYY16cmZSBHJyS2c+wOTk5yfH0GnZiXnINn8/H FckLOOChnOpxbzrxYtJAVztjeFlB9uL83NbmRnujV1/BmcCXm3iNsGvJTiPi O0x5QKnbbm5wVxC744aZ1aXFec2f3w50tg72dQOlClDzMrS1xjbhTCCW/IV4 QfAiYhLsCJ26mN1VhpWYtvQrb5cX5hDFQOKFWJQ4C4fEhXjzMmADAgrxkW8R 47KbRweD+5QszFMySgiO6i6IxQVkC/GSzje5q0rzMxprqiiKWgz1B8ZHwvSp OqddVrASzqTk9vo6WAhSIsLWlFtnoxHiMsE6rpEGXXhpfo4SqCncq5aaddrg sfj+Jb1mpsYZeHM1xg50tLZ43ZwLicHeCirqPT3tLZCSLT+jvtoJI42GBmsd triBeFHS5vWgpMZhFSVzMzNglSxLNzOJkmIaDn5ASZ2uRJuHNCqBb0uyU/IT r/V3d9K+xGvF7SjZ3FxeWgBvaDj2CBcND/aT44A30kA63YEyrd6a9GsXGIto DkyNtvAeYEyPjxal326tdWNPLCNmwVDeqnJQ3yBmR2ZT8xKvQQ7sl0WHpZDl xQXIlpGQElQ5rgoQnYozYMpivgYxK+Qs6VcvcC4HgDpzs7P4ao+Wr01PjHFp 0jSuzgF4HS7nKbfRIveU7OxMTYyZM5Pzk2/gkz2tTZyupTPFxMrdlXa72oFn lNRXO0ZCQQASeo/fR7wM4zOT48ODA96qMtKNssIsOkhB8g3+0uhSNRymuc5N dfRuaLyrQTlnTVVhakJZQdbwQB/5ginjNolVS61bWjOuTRR3tzXLFLT44WDA vzAXu494a6PTUwQRvA5qdRbnWfPSqWaF+V56AsZ3NNTNvgfxUneNeDtDfd10 Xs6i3S05KSVZKfgqnEC/5j92knFYc+9NbscPEm9nW0MtV8FjUcJ/pKjkrebM JJUr7XnOaHhQE/MA4o2r5GXUXVZSkHwT9CWtA2DAFdIxrs4Hmqxfy3HYwGMS h2HDhLNOvKgiQET2NrmTNv4wxMvwRadTSV9+JiMMrMXVSc8xsqzwKF5BL6ZH p717nj0TI0MZ196RSXKdeKHZL37xi8SaL33pS0QQUIdQSxAJhULwQ0VFBXFc wijhlSD77LPPAjkEI4CW+MLp8gOHEC8VhKn8fj9F1dfXE80JfGAYIcxmsyGe YN3V1UXJMm1VW1sLURO1oSaiuawxGggEPvWpT3EiUR6sAnchK2IoR3IMmCeo yUb0BwWJmxROqIUGiYbd3d185ltqgX6Ohxmee+459nAhqJgACrXylxiKcgCS qslcKEjP5YAlPsQNNEsbEc3BSICZgE5pfAbzjMfgpTm3rk5PjNJhGdzykq7j h7hHq6+mXiNecuHcW1dD/b2M9iT1lZZCWJc+xfhPCtbe5CMdi9/3M32ftiEY OoKgXn/9dewvk+R/+Zd/SSsIvVNrl8uFKZ555hlciA8vvPAC2mg4akpzUFlS DI6hCjAt1IHp2C83KuB+VJmmB0tgXdru29/+Ng2BG3AhDM5n9nBpDpYpXKk7 TAu5cQwEAuH87d/+LeVgSVgaBsOSXItWg4H/+q//mqbHjLQm+Ef7wiEtLS2k IXKHhtw+wYf4w2xG4qWtAXv4E0m0vsxgb2urqd4j3nQ1u0s/LUxJYEgkoNNh GbgYG6tt5mZPFXRBFm8vzO73txdnJPV3tTMM0q0YSydHhxko5Lo68WJGakTr fOQjH/F4PHg4SQS1pqVwKgAPGX/xF3/R3t5OrTkS22LPl156aVNbhBGpMh0q d/UI8dI3aQtsSzPRJWE2mjiobdgZkOMYakp+R2Xl7giaNVfbcHLcnv5inONl eBzobWt0l+XdPh+LTvf7W+dmp605DO8pwDDRf2x4YDjYY8m5CQxsrK/WOkw1 5SZPedFYuP/eKsN37kyMDvuqy9OvnZd5v/h+4qXdaU3EU0G8rqioCPE0Lgah IyOJLsOYIPda40tyO7dOvPiV3AgB1jIycMo//MM/NDQ04Cf8kwLlZ4hXX30V C1AOPRd3hZAZYerq6khpGawomcSNlIcj6QLkAhyMcR7KqR73dm+V4Tt3QD5v ZRlDNDjHGIITgk8ba2tDA73Tk+OES3wPym321pQWZOGTJTkpQwN95GJxfY5X 3V67NODvIL8mfVO/z2YmE92Iswtzs5w+NBAApXo7W8qLcgE/fLitoc7jsOli dlcZRsxwCKJIv3qOyOWpKG2tg02L+jrbKSEyNQFU+9uagJ9gwE/cpOSSnNQF 7cdQXQn81q+U3C5IwZc2xoYGC5JuLIIF0RnSJYIUiNjv77QXZLb6aqkXVANK EdaNc7ybmxvAGGMjVAY/wEuE2pqyEio1EhqAfCqtRe0N3sqSwp72ZmdxPqGQ /itrq+lApeo1NwsnF6bepPqgCCTPkRQbm5ke6EZMq9NcQE1hM/gEem/2VDNc xw3EK0qqrEUoaWvw1lWUNtequVxRAulVWAopoaKksLejBZzwKyUFcveFQckd MkSUYBOiM+fSEH6ybFuxUtLTxbngEMmOu9RMaHCXljTVVsE80kA63al1eINq yePc2+/SBPA2QcTf0ri8tIjI0XAQmA90tlMRzIVBEFNuyg32dBJijGLUctVN 9Yx+JCN4Go2iTWMuKDG9XWQBbrsFTyMLg2qoLGYBXLWfBkb2idHWX85LutaJ tzhtNKXbXowwyHMsHMTNAC3q1dPe6ijO9Tc3Ikl+xNxVcgclUY7BLPgDXlFu ysFKkFUsMo23gJdUkLEab+dvTbmF5Ku9sS6+n3hBNa4LxtMilEMJxRmJuHGF OT/U1wtjS1tMT46xh9rpNy3rxLu1tcnYHgr0ELILU27QRsRoX2V5pbWwweXs bmuS20SXFxfpquSecnM7WSFOdWCOF7thh7lohKQGb/E4S+k1NDTDJt2W5Ciu 8WRfFx3BTO/YMTxjZSRe7XeEdqCUK9JVYU6akpalsUgBtre3gOq6SjuNQlbC aKyXYyReSiDVJSPAqzmY1INCyLMAErhUF8OYQMlA+N37xNBeKuUJD2L5clMe FSGto61J/WgRzKVY2t8hxpwYDtNShFT9jt9D5nhl59GJlzZiYMRDsAx5Nykq vZJxg7bAkoMBNVGGR3EMA5Tc5ECtcTmZgtaJ1+v1EiK5aGpq6oULF/iLQgIW 3xKPABXCx7lz54g1BBSO5ytiLlEGwSANUWlH24R4+cBOjideczrf8lmiktAs 4f6VV14hqBGtnnjiCb4lCOL8YAMsSkCPaxGQQA8DE/GJlURMjgEYoBfOvXz5 sqBmXHt+iksQAeFnwiUcSISlLvILJuzKSE7JlMMeBFMUJbAHXpW7AREMhiHm rvbAEfTIt4RmucVXp1kajihMGOUAagrPYCuZkdaPgaZIzzE+7kcrkF5V0uVb Gsh2wWBGaYcpP+3dcyox7FVLVFfZismL6aQTI8NzszO0y/TezMDuTafb21CN LhILwDPIACpgJwgEmiW5QAZ6QFzCOk3JKXe15/LgTE4EpTAsyiFMjD85OYkL cUpVVRUHsx9IEw+X2VosT0vRBBgWY8o/MSyF4AnipfQF3EAUQjW0CIbFnvwT AqdksT//5BQcjBbhorgWJ0LOknc0NzdDiTgAhAzrciGgDj582DcV3KPZrS3E 0C54IBmK3PKK38ocixxDj+ho9hEXGtwVQMLk2HCVpajeXcGYwOgdm40QucgK aaBQoHt1eUk1qK2YLswINjYcZiDSf7IR4sVuQDsOSa+hgvgJ9SWzoJlwToxP u3AYCYvQnQgeHh6mLeJ7j7mh+cqVK3JjmxCvNAdW5TONTn+RxsKlIUCKoky6 huSb9As8HB+gyjgJjUityYDi9z25Bs2CtVubG91t9XPRaQxB3tXqpfpTvmqb 2144ORbGZ2KRyaH+biJFXUXJ4lx03xxvb3dR2i2GX31VXP3JNeoO28uECceT 5NKyDBrYh06HPA7DdfETcaHMzEyGl7jhPl7MyLhBHemPExMTwCoeQk+kS7If l5NrUTKuTrEUzn7qC9xiBwrB9/A6rsK36MEbaQKKklv0T89mnONloCjUbndk GJ+ZnmQAITguzMcAAHIT4hoDe3t93fbWFmMF/ECQlUfY4vrM6t27iwsLHoc1 N/Hq1NgooQEKwsmJjAS1nrYmsA12JajNz0a5iq/aUeu0ryzfWxRYiFfdguvv AD8IaoxgDErgd1u9Z2N9vc/fThdgjALwFADcuTMy2A/SBPd+TjUomWdYQ8n0 +BhDImGx2lZEZIxGpjiY3KrZ4/JW2ulxagKwshx+WF1dUffPr68bZlbXulrq TWm3W7w1Wxvrk2Mj1XYzrAKVgWRzs1FQs7q0mALVSNvTidHQI0qMxIv1oGJL dgpXX11Zpi51zlJ2zmpi6M6gIH18aQF7z4IW0Kw8SWec4wUOi9JvtXo9JKJw kctejBIGcK6LPUcGRYmfztUvSkIDD1IygbksOWmzM1MMLK1KiR0Z0elJjIMS RqR6l4MPKAFOCOv3P6Wl7npt9Bal3dYaZQ3EJX0g3NA0CIAelVlsxXAO35LI u5WYoHqCTBsDdTGRyV0xIK7WItU4z/Bgf3RqIhjoFrOAuBSoxFSUttTVcGnc gDoaxZB0mNJutTfU4mDjw0PUnSRCWaZbcSBMhWVgD87qU1lbCYIPmAWPcpbk W3JREgGuWrxuSHV2ZlqbPlVKABiIjjLxRvqIus1sfS2+n3i1W5r7qaNS7qnk QlyOHItz5beDuHYjARWsLjWhVjesTryUQ8uSCjGyDfUHiNdEZ7BwLDQ4Nhzy VTnkYUCK8qobaarlrhV2xqIR9BiJl4rgrpvKaYfpRzgVKS1ki3gYWH4aW1tZ 7tZ+QKSO+jPURuLFq6fGhrkKRva30peLejtaSXDI12rKLBhWPeu9swOjQtR0 MWFX2YzES/tOKTHKb2t3xQwhBmRVYrT78+kX3a2NVJyQt721dUCMaruuNno9 rUCjYEMENHmqcHvARrhl91YN9UNhD5WiaqvL957POns7mWwEa/2miFO7ndTb yUire9pabPnp7fW1h7S+bHfP3k72MNtRzHXEY8bC6qaFWi3cv+91/2++nYxh lpC8bBiCzt5O9gib8V0NMhV54FUhR9yMb0gAbORn/UcQo98/r1ozFtUfS/wT KzG+IYHgC26tPfzDhnf3vwqAkD0zNXlcJbPRtbU/j5L4frpDzFxs5vC3/fxJ xczObDykmPuVgP3HkfHI292zt5M9ZjFnxPvB2s7ex3v6t5Mi3ofd/m8S7wO/ PSPeh93O3sf7wO30vAX39CiJn72P9/HIiJ8R7+MXcyLEq7/R6zibvLrz+OXI Ro1OlvpOySavOT3+MQ+1fViN+Zi2o5jrcZj0EAg8ZrHHByF9Q+HxOQTrHaLK +Da/R9uELo5TwgduE5Me//3AJ9K+gt/HFHMiSvAEQOj4GKPuPzwexpweJbqY YwLV6RFzgg10fJsIHx6nkPjeC8GOD5kUciLEu37oW3z/xGIOtwxx+XDildtr V469yQIKxy9HNnxvenr6pEo7PRvGj0Qixz/moTYxJn9PsMwP8XYUc524SSmK HgTpnVSBxmIXtQXNT2STFR+OWcjhqsiducRxbIvIExnTPkDbSTX0iZgOMbTg McWciBI0UAgedZxCqM7c3Nzs7OyHQ4ku5pjD1+kRc4INdEyb0L4oicVixymE TQo5phhqRCHHp7ITqdFJiYlp23t9K3FZXql6CPFGo9HVY28Sr49fjmyi/KRK Oz2bRPPjH/NQG54glHKCZX6It6OY68RNSlF0wxPsQcZi6fInVaCkY8csZEVL kN9L1fFtK8HrkU//IG5iUoaOY5YjnHl8MbTgMcWciBJZyZFocpxCVvaC/odD iS7mmMPX6RFzgg10SmwCGQrXHacQnE0g8/+UmPcl3rO7Gv6U29ldDad/O7ur 4ZDt7K6G07md3dXwwO303EtwepTEz+5qeDwy4md3NfxJxBzzroazJ9f+lNvZ k2unfzt7cu2Q7ezJtdO5nT259sDt9DwvdnqUxM+eXHs8MuJnT649fjGP4V0N 71+vB17upIhXCv9TEq96b+R+P3+0xpW1bt/3WidIvHe0JcXf+9tt/UXNZ8R7 9O0UEu8jXEg/5QNAvPtr92cn3sfdUx45kB1y4kHifdQqHODMu48k9QDxPpo9 T0TJAc48uhLjkfcD1SOIeWQlB1QdX0n8Pro7IOYQbQ9lliPW8XAxR9lOqoE+ 6MR7wHSPlXjvaosmHL2QU0i8FNJc6zKl3y5OTzS+zm56YmwkFJTPHONx2IrS btU6S+/e3Qn19XgcVr1YqU5FRcU3v/nNgYGB3//+97/+9a9fe+01avr222// 7Gc/++Mf/8gxsnLWL3/5y/b2do6/efPmD3/4w9LSUury29/+9s033zSuucZn CnnhhRco7TExcE5OjrzEnm1kZORXv/rV888/f+nSpQcePDo66nK57t9PvS5e vDg1tbvGHyH7Bz/4QSAQOHCYYQXh5Z/85Cf19fVjY2Nms9lqteoH68dsrK8X ZySODPbPx2KyGqZsmxsbvR2td7a3fdWOudmZB+rc3t7ylFuX9tYMOiPeo29/ XuKVNTjoCABhdnb2zMxMZmYm/eU3v/nN8PCw1+v98Y9/jLOVlJSEQiE5kc7S 3d393e9+l2NaWlr8fj/Hv/LKK4KmQryyPDQdjX4UDod9Pt/3vvc9rmIymZKT k2UBZY7EvfmMT0YiEfrdrVu3qqqqnnvuud/97neyLqGRePGxge62+mrryvJC rdPc094wG5kI9rS/b02NxLu5udFeX+dvadjao319zTWOeeutt37+858jg7rL eNLX19fa2krfobIdHR2pqam/+MUvGFvq6up0VNZXoBgcHKQ6BQUF+fn5DD4M RHl5eT09PRxPUdeuXaMRGa/a2troj7m5uYxaly9fpvu/9NJLnMJh3/jGN6g7 JsJ07GxsbJQVGN1uN6ckJiYmJCTQHIwJsgKI+Mb4+DjX5USLxSIrYssS5Jju woULFHvu3LnZ2VlOQTxtQdUYdvgKs9OyHCCrrvMXAVy3urqaEiiTgfSBv5ka iZdxo7W+pqeteXtra2lhvt7tHBncHcC1FRxqTWm3KkoKZiNTPW1NpozbTZ5q 2mJmclx+Hd4NBzs7M1OTrrKS+VhUW2U125qbVlaYpb1Z+u58bNaclWIvyJSV 8paXFisshdryFpNz0Rkj8SoxXndPe8vm5vrYUMickVRtK5YXrqrFMnq7iDhq fYr1ta7mBsQQg6RbGZVEJidQshCbRbO9MMuak1ZemKO/aZ8reivUugCj4WBR 2u0Kc768h39L6006Zy7Oz7V6awZ6/dvbm9HpKWo9Nb77jt+N9TV/S6M5M7nF WzM3G3WVFhdnJnU2+ZaXFkYGB4xARYGjoWC9y7m8uLA4N1tlM2ETWSGCw5BX bspxFOdriwSN2fIyqqymeW2NgANKWurcwUD3HcM0+PxsdK+03VUVZqeltLzI 5PjGxjrV369kS1eiF7K1udHf3WnOSm5wVdCz4mrh71V/c4M5K6nNV6v6xfwc lTXSHXuaa92yWEBkaoJ2rHdV6G/E5eC+rnYaZXEuhrySzKSuloYdbe3FA2Iw lFrZYXFhbXWls8mLEYYMi8PGZqZpZWwy2NtNi1dYCqgOAjhxn5i5WFOtKxzo gWvUAnyZyQ01FTIyqJU7GuupGg68ohaGqLJmp+JXsvTWPSXawhCyxgSuW2Ep KivKHh8KiUlnpibw5Aq1bNbE1NiIJSddrVysrbagy9CWeHZQMi1SU24Bcg4Z yjAU9mlvqNP7vr4CBQaptplWV1YG+7rdpeZDWBrNwd4uDKuv+yC/3atA395s ykjMT7rmshXraxPfv+EhVAQH7vN3LC7MBXv91E6HzMjEmMtekp90vTj9dk9H 89Z7zKtsb20yaHA5T7mN9qK3hvq60bEnZl2+LUi+Xm7KhQCNyysbNzrs+MgQ NpkeH0MYnW4sPKiL0VaLLs5TYhLBGL0X379h//bGuuFgv3HnCRLvytLSzbdf ZihYmIutrSzjM6X5mTR3Tbn1+pu/l3bnQnw7Gh7MvHERu1GX7JuX9WKFeBnY n332WYR96Utf6uzs/PKXv0xoBv+mp6cJsk1NTYztBA6++uIXv8hoT/hgnCeq ZmVlMeZLqNKJF3lPP/00Z3V1dRGqnE4njk1QIFi8/PLLIEFZWRnwXFhYODk5 SQQnKBCM4ARCA/BMyXEtHBA0CUCQbUNDAwKImOgkwHHuJz7xCcK61A4xDoeD S0Djvb29r7/+OuiLEkoj+qSlpXHFf/qnf4LPk5KS+BYlRCKCKaW9+OKLAENc 6zvgwZNPPinrXvGX4IX+uIFmUfipT30KszQ3NxPWoWWduu9R8dJi0jtvmNJv jYSDVbbiyORYZUmhr6o8GOi59IdfNmlLyRem3iwrylldWWZ8cJrzOpvrGSed 5nxajdFpQetBZ8T7UNufl3hlleF//ud/xh9effVVwVToCI8i7wNQcT+8DqcC /OREBhOICG/Hx+h0HA/3MnoLcuirDMNyNpsNBz5//jzFykKHODkOTDeEwSBD 9n/2s59NT0+nG+L5HE/PgutAR1jRuMrwzs6dsXB/fvLFssKUqbGhclNqZUm2 r9q2EHtwCmbcdOJlSCe4pF+7UFlSEN1bEV4n3lgsRpVBXLoe/ZTUGKzFJpzL UEB9gVJGP8Y3uBH6pfrXr1/XiVdK+MMf/oA1GFieeOIJRgZ6osfj4Xg6LGMC pVE7xhBak9GD5PfrX/86X4Gs2JyrAKsMXOSkWI+hg3EjGo0C4RPaBo5+//vf l6wE6+nNQfaKcsa9r3zlK/AqUA0zA9jYk0GDAuFkpCKPgYUW4SrC0owGjAkk zhTeo218xSBGKzBCMsSh7YE/BOjES2ACLTKuvwNrxaKRWGS6KO1Wd1uTHAY2 VFqKvFVloAUwXJKdMj05XlqQ2dfZ5tRWu9bX9iVU5dy6UpiaQJijRqsrS0CR JTdN++VoZ2p8LPfWFVl9CSgCYlOvvDU+EiYiDPb16MTLd0TGjOsXgCXCbqVa K62bPL27tTGurc1ky0ufGB5CUndrU2l+Ohxiz88kBhmU7ExPjOckXC5KS5Dl XFeXlwZ7/dbcdEEIbRnlYqSG+wOEe1t+JlXGtdbXVojTOmfCEtVWU/atK96K MkAIRrVkpcjKoWyAeqWlgBLcZWoZL0CXGG3Lz5gcHYF7daCCz8IDgZybVyw5 qYGu9mBvp8tuHh7or7QWqSXDVlf9rQ11FWWhQI+zOK+t3gNJYr0G9+56kbqS KkthdsIVb2W5TjgEU7XQmyqtr0orDW4Ewusqy2AhBnPsPz0+uk9Jf292wmWU 6LVgIzeBfCiKwmU/jEfUGAoGYJ6xcAimxewGuovxLdbzVTkmRoc5l2vJ+l9x WfQq0J1z+91KSyFXxNQYB8vzt01b+UgXQ5URQ07EpUN9vbjc0EBgcw8z8DRK yEm4AnlCT9HpifpqJ2YJdLZBcboY0IJELOfWu/XVDrX6W5kl2NOFBahpXIM6 OFktFW0tBoRwb4iLYgE8XYkS3NudlXDZlpuOM/R3d7jLLDQZHsJ4BdV0NPmo abCn02kuwFdbfTWkA0211XED8cZmIjB5fvJ1MvHEd16npiQRZCKdTfX4MC0L QkO5UrWVpUUUslP+qRMvENvd3nTr3KtNHhWm8xKvRibGkeEuM0+MDHU11ZO1 UaAs98bfxpoq8Fifadyb472DY/hbGugy0CNOiw/Q6XBOeKy6tLiruV7WdqEb rq+udLXUe6vK8XDcmE6kQyYZymxkmoqTVE6ODo+Fg3S08aFBQA4j0OJjwyGU 0225Kg7T4HaqlX8d1o4mL427O8e7s4MYSiDJQgMXokFraKOAHzaeYUQYCsny u2oA7GpzmHJD/b24QW1FKV8ZxUQjk7oYNMi5Y6Eg+WaNwzoxHJbAyreke8a5 vvjDEK8+n0yzvtccL3kTBIu7zs3O0FVLslJwY39rI/WShFE2sqTijETplRwj O/VLMD4TF/gWovv9739PAPV6vTAwQ/c3v/lN1P7617+W+UyCAlGVEMBnggjR R180TSdehvdPfvKTlENoINATuQgTsCXRihMJxN/61rcIBD/60Y+IyM8//zx7 iPjALVgLYMOoUlpRURFh7tvf/jZxk3OJULdv35ZpIsoEpOVaX/va1/Qf4777 3e8CAxA757I/HA6zB9ZFDJ0LXIe6CWqwx2c+8xmCr0zjiEmJ0URSomdbW5t8 K9O/Os0SN6nFO++8Q0B8V9v0dUv1Y+hNdDT6bHlRjrvcYs5MJDnNSrhCP6W/ LC8slBfnMvC67eZGd2X6u+dx0czrF9sbvYVpCXgRCcvCfCx+RrwPuT0s8dJY 0b0NTDJ2rofadOLFP3EenBlawzGgI7kKjp2bm3vjxg28S0AO7wIC+QBT0dHw ZziQpO9AsYotNzfpa7gxDAZDQlCf+9zn6EEgNJ2Fa9EBQWhK5upAF92ZD5WV lTCwsBxuST8S4qXisZmpotTLzQBNfiKU21hjrykrrLRk+1vqjJNOD9x04kVW S507+dKbvsryA6sM8wFjMm4g72c/+xlZIcwPiFJHNED4VARKlM+knHz1ne98 R7IAnXgph3EDsKezUx3KYZDBYliPKkCV9GgGBKpJa/IVowHpAKPEK6+8wrmS RDOsQaoksOwnHWb8QRLUyqAhbWS1WrEnhtL1Y2Gag68AbIwMGHMh8JVcxuVy MTb6/X4KYShmD5j9zDPPMA6Q9kK/tLjuY4wnCOB4Rg+GCyrIiPFAB9OJlyyC 6Jly6Y8EJpTzz44Gr068fE+wZmQozrgNmTCSw8Bue0mDywkDxA3ECzfmJV7L S7pOlI9r665CI/qPfQw+VaUmS3YKkYvLaVORuf1dHUDI5NiwTrxEDYYmxDS4 KxfmZstNuQux2d6OFv4Z19ZUBQY21lYbaqq8FXZHcT5ioD6ZO9KVzEamcm9f zUu+IfEUJaT2BEopobnOZc1JpwrwMDxA+g9Fgzp79d3lTHyypkwNjx2NdXgd /4RkdFYkystcH3wCsavVaetcPpdzdWVlanxEByqC9Ug4mH3rXYCKavZ2tBKj ObfKVkyiwXBNmb3tLdGpidK8DF+1cyjYNxoa9DhsB5SgNuP6RVgaBoMzh/oC sAHC2nweVZpVlbZMaT4PtgJ1AJj43v1p95QM9gPwpXnpwAzgChYOD/YP9nbX lFvmohHQrqtFpRVqfk9VLYbNBR3jBrpDDN9mXn+nU8MPU9otcM5ekA1TqZ8q hsMlmcneyrIKS6FUsLnW5VVTLn6qcI9479wZDvbB8KV5mTRBe0MdLFRhKap1 2tDJWVya9IEL9fnbtQnAsMOUF+rrBsIxry4GMHaVFmfeuAgLsR/qmItFKa1H 815KloogAJOiioTOU26LaL9N7CnZHhrog2FKC7Kgsp7WJk7HpKAmHWN5cZ7R Bv+PTIyW5tNADhgS5dCd0SbzsVmXrRiwT7n8FgqxJyGYYiFSYBIGC/b6ydHo StIiXIhRUO+zQrwMbfQvOgiua8tNcxbn41p0Sc4lp4PrsGRjTSX0KyeCfO0N 3vuIV902QBLRXl8bm5nGYRCPDeF8OwyWnshfCpRTsB5JRGtdDWIQyfHGGwlW NHcC3fF5fIO/mAIjkMOaM5N9VWV0KylnoKeLTo3/4wk0BBUx3tUw0N3Z3lA7 NxulNDIFgJnUg16ASyCPb3eDTmwWDsFoc9GZ3s5W2s4oBq9rrfcMiJhGb2hX TCZUY85K9lWXr2s/Y6msobWpr6vNONDpxEtRDNp65NVv3tOJl+F9RtsIDca7 KXTipWL0DtINLs1AhAP3+zvyk67T6WhxMf6OlqKiJP3qhSWuMRcrSLlJchA3 EK+EHoTBtxSemprKsE8UrqqqIkjJtGpTU1N3d7fM8QKrCH7uueegUMZzzGKc 46UcuJFLURQHEyagZdg1KSmJCMjBEC9/KZ/AQeAjNMgtE4QPgkswqIZoLvrU U08Rob7//e8DDCjxeDzEGiLgyMgI8uQXW8yIDCkWeV/96lcBZg7mMwzPAfBA WVkZxIttoQL2QBFclKCWkZFBlBwdVWk41E28I3Q+/fTThEKuSx0RHN8/x4tI jv/oRz/68ssvo5br6j+c7c3xLjC0zs9Gr7zy69LCLBJP5Vq9/omRcElW8sba GqklqVxrnbuuojTzxiXlQr1dvR1tDDV0cFtuBrkbg+oZ8T7U9rDEKzypb498 l6ZOvNeuXXO73ZcvX/77v/97u92Op3EtvAiHAVDJv3Cqv/mbv4HuYFFYjlyP w3D74eFhRgMSPb7SZjwOzvEmJydDjJTAiRAgfYquR5+iWEAOfv7CF76AP+P5 tbW1169fJ7/jWrgumR2naAyzS7yL87O+SovTnJl+9dW56DTjhq/KCvFWWXI6 GmsOr6lOvOo3o1i0yVOdcvnttnqP/q1OvKTJdFWqT7ZLhyXHhEsRgGz6O8MF +TW9Enl0fDqjfuuFPsdL52pubqayNTU19PR/+Zd/aWhoYABhPMR0lCamkNs5 INWwtmFzQBqsxeZYCTuAr7SL3LnETvo4liR5x3oIYOxKT09HmJrE2Nnp7e0F cRl82MM4wBjIwRaLBSomL0Yzl4ZsKR8BpMOk5/KmSpqAMYr9wDYyIF6uRXW4 KCNVf38/gyHk/F4mpYGUZ8aiijMvvyWTSHzuaPQBA7ORCMEYqlxdWS4vpJnq GOoVnuUfnOPVPqwRhYtSEwgBhAaGHfJutX9tlbi8rSZRdw/obm0k6iVdfKOm 3FqhphP7dOJVYqJRAnHqlbegQTBpMNBTX+3wt9TPzUSIm1x6clTN8fpbG4m/ wAk8MKPF/XtK1tdGh0KFqQkFKNlY7+/pdJhy42qKeAlchDABaVC2zlm6sa6o rKu5XoNM9WO3zplsM5PjQBQ4xDhJ5GpwVRDgyAjmozMTo0NVFtPQYJ+7zDoY 8MNC4D1FqY6zvqYDleKZlZVgb1d+8g1rTmqgsx0WHQn2A4QEcYiRWgAPob4e kKPV54EH4PAGt5pOOaAEUxBhIQqSEUAIMEM2cRaO1UpbRJK/pdFbXa5BrLp1 cEd7asOoBBbKT7oBXdMQFAKlcAqF0Fi+qnLQiFQcpqq0FlKsq1ThJU0jZhG6 Y5MfxHNuXUEw7Ee6AX60+tyxmcj4yBC8Z85WE19j4SDf0tDLC/PDg311lWUH xfgRcx1QDHS28i1NQz5FE1MRkLW8KDfj+juogoIs2amwN0jmq1KzhfvEaHye c/tdRoNah426e6vKyF9oIzi5yloEo6IBc1VbTSPhQTXHOz9nVIJX9Ckl16x5 GSjxOKzDQTUJT2viaV1N9RhqsNfvNOe3eN3qfqrWRlg0biBeIM3jtNGIPe3N ZIuci9tMjo3Q1nWVdhIZ/N9tN8u9AXQryidNk18c7hHv5qa659NpI3fA30gi Gt0VXBH9wBUJJt+CjuPDu3emhQcCZI6RiXFJbYzEi5dyIuai1vRZJMGi6K+v dpLjyM8E2BmPwrzzczEYEvgUexohs1mjfa5LksjIwMHkhmB8v58UYByA53h6 E3BO/oVX60BuJF6cCq+enZnuaKpX+N2lugAjTGezr9FThVSpDlkq1eFa5LzE Hs41igHO0dDn7xDwRi2tLLcAsVPEaEPNWquvhg4ihCmbTrwYxxh5ZUImvke8 6segve3Aux104mUE46LFGYn0VgTz2ZKTSnKErRhtZBofJVBWYcpNBjEKoQuQ kdHT4wbidTgcsC6D84svvshIzl8YmBGeb7u6uohKN2/eFCglEnE8gZX4YrVa EUYEISIcuI+XI4lQlENFfv7znz///PMJCQmAKNjMAdnZ2eAoobyjo+NjH/sY 0YeIRvzi0i+88AI7RRslUA5XR157ezsQC0LU1dWBuIQYv383USLKgMFcgvAK NnDKb3/7Ww4WXuUvdeFboi2fsYDX60U8qiCE3NxcAjGC2UmIlMD35ptvQsJA MrEsbqBZIgJxkCYDlVNSUgi7BHdMYTwGPyONokAcHioYHwpZctIcxbmxyDTu XeOwtdd7Fubm6L8MU53N6ocSOvhoeLC7vZme2FzrXpib3Y07Z8R75O3Pfh8v WRUOCRfhilwFlKK/4M/4P76N0zJ04HIgkJyIp9Gz5PcRPuNp9AgI7cB9vHQx DuOfJGhwLGmp0C+4C1kxDkgmyMH0LDosLCfzn3IfL1Adv+/JtdXlpc4mDxed mR7vaq4dCQYcptTx4cHDa6oTL3kZY2/WjUsESiBE/1a/153eIRN99Ds0MD7A e+ikszAgALr0TWjzQPn6fbykupiCjIDOzohE76bKfMCeDA70ceoi88b0dEwB o4qpgVuMDHKT86KzpaUFlqbMK1euIIkujwFpl7j2kxlWou+TaLz00ktwNdcF p0UV4y2gC0iz59y5c6QkFy5cYIx6++23YeY3tI2d1IsB6q233oJ1GQrQjDzw HnkIoO3kbgcO46KH39VAEOhoqGNYtqufeOaAHDJlYHUuGiFfJgVu9riK0m5B Mupn0OYGviU2cdb0xJh+H69y75kIOJr27vlAVxuc2eL1QCPq5t7JCZ/LASeb s1JAF7lXk8DT09ECI02Pj/JXJ165bRjUsRdmLS3MAWbF6YnVtqLFhQXwbGp8 NNjbXZSungpZX1/ravIVIcZTLY8dGWabI7b8jLSr54m2KCFwQ4xcQpsWU3eC ra2uhAI90xOjBFCqVmEpik5NErZWlhd1zsRR690VWTcuusrMi3Nzof4eU9pt SHJ6cgxCwErdrc3mzCQKpwoEwZLsFKIbyAebGWdWJ0bC5qzk/MRrIAqYAYPZ C7LC/QHYoL2xLhqZIpVgiAbkqJ01N40gLo9a6EpWUFLtyLxxyV1mlp+kZZuP zcJvZQXZQwMB6K5DK62sYLe0+ViUKxqnVYElBIuSe56/sQHAFGcmwXUwUltD bWR8rEvdopwExC4vLQ4P9C0uzOl0hwBflSPr5iWgbnFhPtjTxZG1lWU4A8wZ i86IsN6OVkxalJZQkpPqqyxnD1honFkdC4eKMxMh3uFgH2aBozALpDo2NIh5 49odLOAr3KjuhEy4UmUt5FvIZ3X53i0WK0uIKcd1iWKL8/NSkQZ3JfGOdAlJ nU27NyQvLS5AWSXZqRoO3buP9842SgZNmhIgH5HkcYA3ZDg2FO5o8kanpxAG Lk5PjE+ODVuy01ylJhl5jPPe1BdtJDvwOSTvb20oyUoBjGlTvgIy4eQ7GpXx 2WUzmTOTpRXu3ce7vc3BeKx2DBTqg/xR4jQX0L6kKpgi3N8zG1E3kNAKFG7K SOxubdq9+9pAvLhWKNCtDBjohlElp0AGFfFWlsnNYHipLTcNvyVtoS+01nvG h8NGyKQ4Tmfn4lyMFi9IuVmvqJuEopxyYHI6K5cg1yObI0UiacK2/pYGjGAk XvyfpHVpcZ6OT2kwCV24vb7WlJ6I97Inrs3NkughRv1iopjWdUAMHRZnoF5Y 3ldZVqB40kmxVIfUQBOj5mpGw0GyuSrDzR7xI9/VIGmdbAfuoD7wrob3mqEy XuKBxxznXQ3GAncnkx/mXQ1ySmdnJ6HHuP8oQPLAY973gc0Dj6weSaW2neC7 Gu6/7nspOSPeh9r+vMT7wK8eYd5YP+VP864G7XLKGneO8E4q45Nr6if70eHZ mYjx2/d9V8PhBnmEdzUYu/zx32p7xGs9bLMeIsz45BoEMjEy/F7PtGoH3yvn gJ2Nb0jY3NoAgR5KoS5Gf3INf4Ab52ejRznRKGafks2jKjlQHePzYhvr6wRZ SOaItTCWaXwVwMrS4ojhaZojDgL7laxpSh7Qj9532DEqgWDhuiPW4oAY/WEx xADY73sn0vuLWVwwPsp09LclHBQzPLS8dIiYB0Te/UruwsPyLOGBw44u4wFX PVohd9/vXQ1HLOdo72q4e1hp+6dVDy/m8Gsc/+1kd48s5n2vckTiJQTIor2y ntcD53iPuf3Z38fLKSf4pv3HtP0Z38d7ggV+uLejmOtxmPTsfbz6t8f0/7P3 8T7ydvY+3v/f3pl9x3FUYfwvgicOT3nigXBI4gM5TiAQIDEOOGEJhLAkhIQE SLDjeJU3Sda+7/to3/d9tI802rfRMtYuaxsNv+ortVtyLCzNOJad+o7OnFZ3 9e1bt27V/aq6uup+bPtpuddjoolXr8f7aNTwPu7Vyfbh67ker+xAIQfqW7z7 HIMzxO51nyHbQPsuRyB7Hx/qlo2NjX0zKo8hKK/Z2Vnf0xwKRzDm1xkPYy6/ m1Tm4dMm+FGmKZYmwl/SEEVN91EObQ5C1Io3D7jqi/+Lkn5p054giEn59UWI bFy113RHaVGlBH1Rxl+aiCf4bha4kDnN/mjKHB9NTGWQ9nQo48cC8tEmsoPt Xk2OAoTIEKIvQmhg0cR3VrZo4Pgoc7BlaHkGBtTkCo4hvZTpvo6DWiHN5Zr3 GZOTkzzLdzkC+VDaX9KOCcT+GMrHNEd47vj4uB8FPt14GHP53aQIpNAhLX6U aYrFo/wljTrue3MhHv4grTjvS933l5JPFg426UPiqynfr1ITKhRCfDeLfPT9 dGhiKoO0p0MZPxbQMbHJzMwMQnxUBmebmprynZWJMj4K8ZcyB5tXeKO5Uj2a w5D3DQJLr8THoWav8QXHuv/eyW5vb/v3zf4xgVp18P+9FH6YNIfC02rMR4SH MdejMOkBL/p9FOvH2T5o6Pu7ZrXUw4O1knfivsiXN8i+SHjiICb1fQayX8pX plj4qIxfNMET5DsvX4TIB30+vqo+PpqYyvj40vz4KOPHAvLdJjIHwBch3t0d KHyfSIAQv8xqAMdHmYMtY85q8BoN0f0pn5p5vE8EHuM8Xv3l2kPiGH655qPY J3Eery+2XdfzeI8KPY/3fuh5vMdcGT2P90vx9ZzHK1+uHSBBM96vEprxHn9o xnsANOM9ntCM90txfHjm8dHEqxnvo1HDqxnvo1fGv4x3oLc7NyWuODvVuoQL x7IzuKClpiInKbrbrlaXVVuzqY2tFUzGW11d/dlnn/HQ8PDwzz//PCEhgczy e/bs2dTUVFS12Wwc37p1a2ZGLVmTn5//ySeftLe3cykkJOTmzZvWHSg4CA4O Rs6lS5ceURQrKiqSZXu9xvqZsi69ufvbPhCLZVeLfSB8x8TEzM7uGAqrBgYG TkxM7Et2b61dIwH5Infx8fGXL182iYSZZmN9vbokj+KoKyt0tNvvLSBjLDJv N9Y5fBDW19eaqyt2k2vGewg8XsZLZaEG4Uu4QVlZGc14bW3tf/7zH9yS487O ThyGNJyUXfxEmaGhoXPnzt24cQOXm5qaunjxYkBAgDS8wni5paamhnoXFhbG GVkp+sKFCwUFBXl5efhhRkYGydxu9+3bt3E/DpBGhW1paeEufFU2PrAyXrUM 7+Rod2vd+trdtsbKkX7Hstqe9cs3W7diz+pkm5vDzl7Z5tK8Kv5PZYyLiyMv 1FDSh4aGkikajZ6enk8//fTatWtjY2MpKSkof+XKFapwdnY27YzXsh7vyMgI NYs8VlRUkBcqHQfDw8Pcyy1knJRk0Ol0cqm8vBzTZWZm0hxhbe4i41iJlJzE VpykWausrBwYGEC3nJwcfmW1Xlon2UfyccHKeDc3N4Z6e8aNZdLX7t7td3RN T45Lss2Nja7WxtzkuPbGWrWIbktDUWZybUnBytLSytKiuR6vJF5ZXu5ort9U yyZvdDbXF2WlThu7nnlV07SmdpSwZczfmV27u1pbWlBZaFtZXjKVMRkvygw6 uidGh1SVmZ0utaVzo/AKkk1NjKJAZ3ODZ2trZMBZkJnk7NrZB22PJktLosn2 tucODtDWIt6iJIyPFmelVBfnLtxxT0+ordPQZLi/V325tHbXyjPvrq4MOHqU Kba3aUsbq8saq8pkm9flxYXGqtLizFQy4p6e4t7x4QHstjh3B1FWQqWmM7nd vR12/Jb8ttZWVRbmyLq1XmOFrvryorqSAg4W5marinIRe3d11buX8UIgBnu7 pycnrGttGdIqrdIWd6QVIo0brXth7GoyK5rcc4OtrYmRIcqFAC18CaMNOx2l OWnOns5tjwerbm1tWtkdygw4umZck+tra86u9sLMpLrSIlnabkltslaMWQhA k6Nqw2V8oKW28s7MtHUrOlGGkKSU2drEJaoKbWW5mY72VrUsKgr0O4qz0yry svC9idHhkqxULDPU55hxTSwtzluVWV1ZHnB0z06pHXInhgdLc9IpazMjg309 JbZ0ta/B2l2eRTbHBvu9exkvHjI3u6MJLo2zocyce2dxPMhMXVkB2VleWiQZ l5qqy2U3ZFMNPHbU2NuioiBbbQlxYKW7MzvT19W+vkvkrIzX2PShpCA9qb2x TrZUUBVnY31uZtpMv7a6OmLs+btPssl4MZGjoxWDT02MYU8zI1+Ku4a06V1p JsmcnXJRjuQILuHsbt98wFADWce2RRnJFDT2MUp5BFObjJe6g2HxDdf4qKPD Pm+hhV+mzMpIf5/Z8liUmawvU8qU5mRUF+c7uzukgtwP19hIRX5WdXEeNQU1 MKtMjfAX46VVCb7wn3FjzW0y1dZYW1mQ4552VRXZwq6ck7WFVWztc+B44VfO 0ejh1ZHXvhA5JuMlHv3oRz/iua+88kpDQwO/UMRf/epX9fX1r732GoHpz3/+ M3EKmvfLX/6yt7f39OnThPjf/OY3ubm5f/vb3wis1h0oUO+ll16qqqoirBDW 29raOMMxMpOTkwsLCwk0BLWmpibcFZ5AfCR+0dpxHB0dLTtyojaJieCEKq4S 9K9evUp6Auv169dffvllopvk4sMPPyQaQr8TExOJrTBwqC/SCHk8ReLm888/ T9QjPhJeOQMZ4ABRKE+ElcJF4W9/+9vcTkAkMkLvpRSse67JNqnkCLLx+9// 3hzysu4yHH3j8lB/r9ospqlu1jVJs19RkEMB4XK5KfGcoYzodODDPfbmqsLc LnsTputubcpNjk0OvyUCNeM9FB4v4wX48Le+9S0qwscff4yHnzp1CoenJwj7 ouJ885vfpL6QRnbU9Rr+Bid899138bS33noLP8T54bSrRksyv7vnGrfgkPA3 nF82F0Ysrv7Pf/4TB8bzuZ06+Mwzz+Dk5I6nxxnguZznLh5kMt5ttTXAeMLt L9Jjbk2ODuQmh5VkxjdUFEyM9P/fnFp2oNiAekUEnE+NCqF5Na+ae669/fbb 1E1qBxQXIoqeME+ILn0BegERERHUaOrgb3/7Wwxlt9tpIryWMV46Be+8805p ael///vf73znOySgM8u9Z86cof6SZSomPQj64OT3/fffp9ZjbWzCVexPrn/+ 85/TiEVFRX300Ufp6el/+tOfeBympj2BaUvfnBaPRowa7UdnOCysO1DY66rD r36eERs6M+UiakRev9DRtLPLMEFtbGhwoKczOTxwbHAwOzGyuaqcYEpMhCt6 Lfs+EFvTo0No3puqymhtUqOCe+wtWfGRxlZOm9CSrLgImqO8lPiutub8tHiS VeTnmMoI4zW2w6giWGTEhqOJbK5amJEsi+sSwmxJ0W0NtTkJUWp1/bjw7tbm 9JgwKNM+TdKibqMJ7IXARysXe+uKbMPk8WwtuN1QjprSAqFYmXGRk2NDKAwx I2ZZdqBYIg2eBgOBvNWVFZXkpBJJRc7mxjqhuaO5ITM2HK476HRgtOKsVEjz krHD4M4OFB4P8ZF2NS4ooL2pnnY4JzEaegAx8yhGehdGl5caz6M5Y6+vgYrX lRfBqbwWxgsNqy7JNzRJnHfv7LqCpSAbSlqdIc2j+G1XiyGtppwsL87v4d4k GB8aSAq7FRcc0NXaZLqB6lPkZKjcZadBfrzG7lf5aQmYDo4xMTI8OuhcnL9H MpUyxXmRV78ozEwmyhBcKvKzoUxCySg++jiGWcK67M0UFsdQApgwv1ZlMHVS qFIGpg0LTY26Tf9FtgPDaHA/HAYyT5bpZMlmxJBPOBW8yLodBkw4MuB8UWbK yGBfmS2jvrwYkia0Fk6Om9EpIDtdrc25KbFt9TX56QkrxlZr5hYh9J0TQ28m 3L5GNwqnsiXFttZXldkyVZrVFSpCQVoCJVKWm4Gokpw0+jitddVeC+PFEzLx 7ab6seEBOBusDythE4geuSM93istP0QQUyeG3DB3EjEZ75raUaU2Mw53Ghzq 60EInReoL4VC1YOry0a6yMfhcZh91dlkvBD+qOsX4WDFWWlxQVfpD/Z12tF/ ZnIcmQ3lxa11VSYNxkMyYu9JM0kmGaeHlZ8aT2cQMj/jGqdoKEG8pbezDQe+ M7OzSQpGphKV5irL15QUcEntrrjLeLvtTShD7xLHVsp0d0CAm5UyE5JBvNcc HR129qbHhLbujstZlaHi4NjVRbnNtZU5STEl2amYiCaIjMzfcXOA43ELXZIh Omu2DLqNI/29ihsbG6j5i/HSjtGgJdy+DonC4fFM2hlKk8qSFX9vRySQEROW Fh3CQ/GE9OhQOWky3qmpqT/84Q9k8IUXXiD4fu973yMi/PrXvw4ICODX5XLJ tkdeY9Newui///1vOSaEWfemF8ZL8HruuecgycQ7yOcXX3xBHPzggw+CgoLe fPNNiOUbb7xBROM4Ozv71VdfhZoS4wjrf/3rX7lE6Bc/5F7OExkhqMR6gjh8 mDAK8UZJYbw86xe/+IXJPN977z10+8lPfoLMkydPEhah6MiBnGNSzsCciaFw 5h/+8IdEQ/QfHVV70GMH2XeYSE2CEydOEEn3MV5yAXPm0XCP5uZmNDHNe4/x Li0Gf/FvggV1tigztbfTTrPf0dSQGHpjtF91Qt3TU/geaei4xQZeoUIlhl5X 251E3e6yN2bsFo1mvIfCYRkvFZn4vmDAl5kJJuPFt8+ePSteSq2RnfhwCRwP d4W84TbQLdyGTtnExAR1qri4mMpFZ+33BvaJlVX76LLh0tQLKB9eh/vxCDgk NYtLf/nLX0pKSvDb8PBwktH4U1Mg0lTJpKQkacmplSbjXZhz5yWHN1UVFqbH zLmnizJiCzNiSnMSRgf7Ntb/z6srk/FCEohr0DN4rzlUtW+XYRgpGUdV+Kfs j4YOVFi61XSfaWeoYnBXDmjK6Iqiqsl4kYOh6FSKSUnGL5QVkk+y4eFheuKQ XqRRmtiBSzwRQotZqIYYlqaG6kxfACYslRrJ3E71N8e64dV///vfpXP9uGAy XiJKcWZK+LXzRHyadDhbS00l1NRMScahuLTtC3NzFXmZSWGBUKyRQadNNhEW nunxTIyNhF05l5MYRctPrCnPy6S1J0CsGjuo2htqCEOry0tEWMIogc89M2VL ijGVEcaLMvDbSJRpaVpenM9NiZt3z3S2NtaVFnqNDfsQKPsgVxXaCIJEQ0gI NMCqyfjIkKFJ9JJRpgvzc3nJcWTNzNG8e7Y8PxsyNtzvIH7lpyU62lug35Nj wybPJA0ZjA8OcKrd2caSwm6mRgTBnQjxIoRM9XW2E/tgy2hSW1pIRJYKvm3Z 0gu2Ex5wviQnHbbQ3dqEESBIRVkpUPHlxYXmmnKa3xnXRHZCZE1x/kBfD8Sv Qm15fI/xQglsidHxt69DcTc315cXFxeg+FMuWu+m6jIlLXNXWnU5FBp9Sm3p 3r2a0Jno62gLv3qeS6vLi8RrOAyCxocGqVB3ZqZa66sRyC0uNQaeSm3FyObu bCa7g2PQ3YgPuT7Q06UGuitLE0KuI2F5aXfvj7U1R0crpkBH+GpqZHBjRYm5 o+6OMhsbOEBEwOeQE5TBu0iWnRDFjWYZwa9wM9f4CA+Kv31N7Xo2NrpfGbXr tGIg6DllbMR8xz0Df+s0vBdOBY1fuOOGFUPLKwtsuFx5bhY9ZasmFD3tCd0f 9QK6qZ7bMSkWoFOjBvYrS7vbWqbGR7MSomqK84b7++BaiLKqQTK8nQLiQcN9 jsp8tfUePReKIyMuvKYkPzc5ziSZ5Ks8L8t8/WoyXuQMOx3kNNvY0YxIXZ6b CRUvzklDmbbGWiF1PLSjqU7emMu/kLoNY5UzYbyDxmt35CQEX4f8q62Ei/Mr C7KxAH03Khc2gZfuDINvbtARM6VZJxLAJTBFb0dbf08HLJROIs5GKdgSY2AL 9HqoenIXHkseobV0aRurytaNQV4hmUoZVYmuUUYoQy3AhlS0e8rkpLU11Mjm IzTv7U11PW1fogw9JqVMJ8p0or8xnJ5Dr4S+m6PD3lJTQQK5i3+hzd32RjJI 7fNYxniRLwvBSeRFuLxUOgTjxdqrK1SclAi10XBKRBCWhPFCfenImAUqj46+ eYmHra4s3894icJvv/02+pw+fZrQA7H817/+xRkC9yuvvIKSxGsYLwc/+9nP IJOEYO4iqJEADmk+RRgvGUQOecRihLNz584J4w0JCSFOkc0zZ86QDJncCz3g mJiFNFImJycT7FQhjoxAVvkXxkuAI+JXV1dDtmHmaHjjxg2CqTTUr732Gvzc a/AEQiqBknAPtYCQcxJWQOwjhnL8u9/9jt+oqChyRwQkm9BjYbwESmHpsH1Y RFxcHIkzMjK8e8d4UZKnkMGGhgaCqVkiZhpa+OSIIIxMuRRkJNH5ykmKpuYS JvodXQVpidS1ioJsioAOqXFpAx+msteUFuCmeKxZaprxPjwOy3gpwSULjjxp 1mS8N2/ehMF+9NFH3/3ud6Fe8E88s6OjA8fGG3FjEjzzzDO4DQ7/8ccf07/D LalNhYWFsC9YHB7o3d2/xsp48dXXX3+9qakJxhsaGkqdcrvdcMiLFy+2t7dT K/FbXJ0eXFdXF1UMxktK+mvksaamBs8UxovkWdd4ZsytzLjA0IsfzrjGaBfr y2y5KWEFqVGdzTUH59Q6q4FgAc0IvXS2vanWvGoyXmg89bq7uxsd6L2ioZBb GgQsc+nSJUqBM7JfuTlx1Mp4aQeE8WJS6u+LL75YW1vLLTRWeXl5VFKqMMKx A1cHBgbIHUSaNod+NGbE+KSkN/3WW2+RgJQIhxjT7zCzYyY7Wrn7BZZZDdu0 zITs0Mv/7WxtgrG01laouWdqxsJdbD4+NJARF+YaG5G7oJ2EPAhSXkqc1zKX YGtjg9hHPzo1PKjf0UlUUuMbMWEEP0gaTKy6KG9+zp0RE9pQWWpvqHaNDhM1 TGV2ZjVsb9MJLM/NCL1yllBIrJ8yRl9hhii2OD+XlRC5ODdXnp/ZVF0Op6Wt y0uJnxwdtmqiXosP9MXcugxLJ6bD62C8ZFNtYry2BoGsKsiBecpz11ZXofcQ 9dqSfOsYLxFlZspVkJYQG3S1paa8PC+bpzTXVDRUlSBFRvbII/xw2NmrRnGD r8XeuiLjPNaX5rSrPe0tXILew3jhBtMT6kZ4+9yd2ba6auL1xOgweWmsLOm2 NxHTIfNeC+M1NJnIT02IDbwKJagtKyQ75flZ2KS2tGBX2l2k2eurmmvUSDU8 Rwy7V5NVyBtmwWIDjq7clNiSrNSGitKyvEwUUE+n9NfXIYpFWamzU5OQitHB nfcvJrvbNt6bU3AoA/dTVc89A+OVew2zjNGDmDW2st1Ws1DGCDTTkxN0dvYr 09oUc/NSYWayYiaeLbhiTnIMLrduDOu1NdRCm40y2qKUoRYEr3W1OvGaVRkk 44dxwQE4JD0FY+Sw2NHWgjNwXGxkBOpYX1GMkhxzxrrfsdd4s9/d2hgTeAWi 2GVQF3RGK3rX8Gfqgr2uGpNSfA3lxb0drXRh4JBWm6htC1ZXlMXys2FB1YW5 9LlqywpaaqvIgntmuqow13xZT1elIj/r/jFeRcnW7q4sLxG14wID6MXAFWGq xdkpxk7WO2x/ay/jxf1621vxOpPx0tlsqCiBneIb9eVFCIEWDvf34lRwTogr Pqa2PN7amUHU8QDGSzNLFUOZ/u6O1voqZ1c7NqQ6Y23KAscgRKAzlsF/EDvU 54DkTxmzmEzGizLcBfOvLUGZYlxOKeN0VBbmQFxFmY7mOukQbT6Y8S4uzDVV lcJm+3u6IP+DfT20CZiIxGjYXFu5bDBeeYOGJ+DV+JDxduke46W8EGiGXc7L cw8zq2ExKewWVZUGkKzFBQXQ4aKRoUZEXr/Qa7yHInDSU4ZikUxR0ELbzbMf TxqNp8l4iSPPP/98b2/vqVOnoKYwUiIsbJCrsL7PPvuMsAsDfPPNN6GCqE2w ED5M4HjjjTfOnz+/qarMDuOliSaUw4ohAAR9GCn3wjCJ+4RjMo5AItEnn3xC 1Hv22Wf/+Mc/cqm+vh6ZJGtsVNOMoQEIIbKTkofCnOvq6jiIj49HjZMnTxLN xRrl5eVQAhndTU1Nfffdd2EUMF4ZiIaXwgQQBfEgFzydCEgGUZusQT8mJiYw C7GVCMsBdJeQiobIIWh6LWyWCIvOMmgGgfnpT39qfqlnpllZWspLi4f+Uy9g Bf29XfgVXl2clTLa7+RMZZEtNSIoNjDA2d3OJWxFazDQ2xMfci0lIpBetlkN NeN9eDzeWQ0UIr0nHJga9P3vf398fBwPxItwVLwUTmuz2eguccmcTy5zdCGo XsN50tPTIWyffvqpeJHJeCMiInB7SB1VIzw8/Mc//vE//vEPPBlf5SQtBt1P IbccQCbpD8KEqQWvvvoqCgQHB8vwqTm2qYww46osSFehyjVeV2rrttdmJ4Q4 O1sOzqnJeFGrqaYCWpUQcmN8ZNC8Kprze+HCBeEJ9EPhnLBxan1+fv4777xD Lsi13W6H03p3yS2m81rm8cKQqa1wWmp6S0sLrcHLL7/MAdWNHNEaOJ1OajS8 mipPluG6VOcPDbgMIJOGC/aLBMzOLXQNkBAYGCja8iyqOX1581uAx4J7sxrW 1xoqy2JvXk4Muwmpmxwbjgu6mhEbfmdmCno20NNN8x559XP1spjoZsugMYcb EIMIguY8XtocuEdWXGTE1fPcRQim+5waebuhspjzZTY1+JYSEZwWfbujuQGS lhh6Iy06FN5lKrMzq0EpUwoRSg67NTE23NPWQkEjCsoHzRgb7Idzoif0Qw04 F2QnhwfC92SeoVWTzLgIpUlpAXympjiX/hGxFUJeXZJnr6+5dfaf9PQ5cLS3 pEYEE5vgmVMTo5ATk2cSQ6uKcmNuXMpOjJ4YHWpvqE0Ku1mYkTzg6IZRcMbZ 1QGjEP25a2TQCYum4V1eUuPM5hgvDyUmwjNb66oIfBkxYdjW3lAzMtAHuRof HkgOD8pOjOrtsBPHMQtZGxse8FoY7xKaFNqUJglR7mmXPFENvI+P0X3IjNsr LSyIKEzRUASQEOto83B/X2pUcMytKzAWsyGCbMGOkkJuFmWlTI4MQUtGB52Y mshelpuxoKYlO6yzGlR/s9AWffMSPJauECQnJTK4ID0JCoQ1yCBxH77hNeZL 0F8gvzBV1GusLLUMOKup+KmRwVRk2NT48CAZyYqPbK2tGnL2kNI9PQUthEvD 5KGjKZFBmAVugw3hVHuUyc9BGXgdj4ahJYXehNNSOiiGSnSyksID6c1NuyaL MpMpa3igosqWoW+YNp6JJvSw8P+06BCZojDkdNRXluBySaGBZBaGM9DThTfa kmOkh2Udas5LjaNe5KUlQEerimxxgVeR42hrxZndM1ONVWVuY1d0qDvOE3n9 olEEHq+F8cLzcVHl24kx1DVugVBlxUfUlxXi82RQSB2Zwp3gVLAs/kUrGKAa 49plvKgNq4SbzU67OtSQdQWBnluwaltjHTWOWxwdrUL2KOu0yNsQUZFmJZlI aG9U83CMVxKp0Tcu4iFweHQjs452O20xaegaRKhZJcndbc04AI8zpvHuMF48 kK4uNJ7ugFKmppLSSYsKgb5CbneVscsm5tQUXIK2hdCghkmtA86LC0b67pH+ vi5785CzF5aOm+UkxcTeukyDc9fIe2+7nR4xxUeXh6xBj9fUymT+/HKNAIRj bxivZenm0AeXV43k0Rz0Rpk7u1Pr6ejxt2mMz5uMF32IPuvGJibECDnJv+Yr YNmRZ3V3ujKmGBvbmcKH08rwlHWtBm6ZMYCEeWM9ZDUDcHPT/KxydHSUS/Bq 4pR8Dec1Aj1swfzaEfWQbN5oTFBXWYOjIt/6UST/joyMyAAU0rhLeKnkQiSj mzmUx1OkKdtQH1ZsSzJTINmUNZPlX+s6DObrb3kbbmbHmsYctkLfbWN03Wt0 DBUN3lJDKLSE62t3rZe8xkCE+thh917NeA+Fx75Wg+nb8i9PER+TS+ISOJvV acX9TN1kIW7rGK/csrN5/doabon+VEMZlBZRnJcDNWFpZYUbCQFcRZrZRNy/ VoO42fq6GsxRvOvOzP81i3WMd23tLqHEHH3y7l2rwWw3+EVVqUfoSYshdYQE YpBtY0Haqakpr2WMV7SVF16mSeXp7t0plNxIAixsCuFYdBOGbzWveu1oLE1p tTZneMoxmdXgNao/0Va+XIMD0HEmBqv2wihoion2nKBjvNRbhYdYHckcWZUP o6BPcp7EC/N35LwEiI21tUV5mWtYYHlxwaqM+eWazG6dMEiFMrUKE8pQRFga LRouhMgbXo4X5uc8u83gHk1mZ0QTxShWlgk6xD61rbzRnqth56VFzhCJIHUk MDWxfi/Gg6DcxvdiXpk1Kt+CYSKJCFY7bBsxmudZCZXX+DTMNT7WuTtLBCMs 7Y5HGR/WbasvbIwRPyQQnE1l9moy12NvNidUmFi/J21rR9rqjjTsz1WrJltK k9HOloZ9QtQbkMUFqThS4ty7ZBQ3UUMGtK0fixHl4RtwGFEeA8pwn7rXiJPy kppfrIwPbBtAv/3KjI3IZ+weg7suLc7LsWTE/Fpqk7o558YyhhA1tLVHmbk7 Xa3N0hHgVh64sT8j8zKeKcdme2XRZNPUhAumSbd2NVnDXaQo6cjgS5YCMtXY 2FVy90ELyibiEt4dlxCb3IUY4Y27ZGbb8uWaeoGyvIh5d/je4jzVTUxKmXp2 B0JXV5bQSD5t8xhJvZZ5vMbrbo/YXB14PGrE3KjOxhWP/O5kAWnL96TtWx7B s+vh6whfWty1xl3MuLEbaDYMCVzljHK5dZr0LZPx+l2ZHYm79yJMWioxLzcu GRMJDGnr4v96dTITmMKku8cWenWy44/Hznj9i+O/OpnH0k569epkR4Jn7+pk xCnPkZY22rcm2NFWGPPsXZ3saMr4RZN9a4J5to6iyfbexa+2DRr85GrivW8l ruOmzPYhlfFXAenVyQ5Qxsdgd6xWJ5OJeT5CRjl8lyOQGYaHukWy4y8FHhGI 8sKUfExzKFBxMKbZO9M4GA9jLr+bVEjCmtGN9SNErAz4+AVoKHTUF2wZuwo+ SCuuymboR5aPkn5p054giEnlNZMvuC8cHKVFVa+G5+Z8VMYvmqCDcG9fNFGD dWpccMkXZY6PJqYyMlb5FCjjxwLy0SYy0XSvJkcB2ZFXz74IIUfySt13ZXYH nI+FMgdYRkZKD2a8RIfx8fHZ2dkZ3zA1NTU9Pe2jECtcLpcfpR0fPEy+/J73 p9WYjwiPq4z8W4MekVi/ZPxgrXx/xNfQ4f2SZQrFX+X71GjiL2WOjyZPnzLH qoDgQsdByIyfWNmTpczY2JjT6TyY8cKKjbUTN2S6mswV3NgLmQi38WDcf4uP 8LvAo+FLM26aSOZEHVagX9L4/aEaJp6mMjqeeh4sxPdHfA0d3l9Z/grK94kT 4hc5x0cTfwnxl5xjIuTps4m/5Dwpyqyvr8/Ozg4MDDwk46WPoxZRtJyxPgJq /RjjyAGPNi89zMFhH7q4uIgNZVjePCnf9XBSvv35GoZXDQ0NDQ0NDY1jgodn vFtbW7LQ+sLCgs1mczgcHo9HhMilqKgoWd39CGqIBPmqeh82jN2g7h8y3TfO zL3ywfW6sTjzvjTyFcy2MfVLJMjcZhKvrq7K7A6ZNHhYzRGFcW7cuCGL9Jon YbkZGRljY2P19fWDg4OmrTQ0NDQ0NDQ0NL5iHIrxkjgpKSk2NhZ2Z1I42N38 /PyVK1cqKiqOxutEvtPp7OjoUIvYLC+73W6IKMdcmp6eHh0dnTOwYQwjC7Pl t7S0VGaAe4193EpKSpDQ1NTEefmmEqLLQXd3d1VVFbpVV1e/9NJL7733Hrk4 efJkQEDA7du3f/CDHyQnJ587d+7EiRN1dXVHyAK3YEMsUFNTY3Jm+U4kPT2d jsDIyIhmvBoaGhoaGhoajwv+YrxXr16F8R5hjBQ5MNKCgoKWlpbCwsI6A7W1 tbBHiCskln+bm5s5hq9yUF5ebrfbt40NNTgDpx0eHu7r60PJoaEhboTxoh4n Icwk4Pb8/HweQUZQ/hvf+MZzzz0nm5OeOXOGA6jvBx98wC+k9/333zfHaR8e WAY5ly9fRmfruDcUPS0tLTo6WjNeDQ0NDQ0NDY3HiMPOarDZbIuLi/xCMvfN aoDaWQc5HxLcCyFEIIQZygpBrayshLi2trbmGGhvb0csJLajo6OqqoqrjY2N 28b6QvDksbEx9J+enubelJQUiC4sF1EzMzMrKyscIIq7ZoxleENCQp599tkX XngBVU+fPv3666/HxMS8+OKLMN5Tp06dOHFCtjA+lP5C+IOCgvbNasBKMquh oaFBz2rQ0NDQ0NDQ0HiMONSXayR2u91ysLNh5S7kGFFHWJcAxjgxMQFFlE2Q eRb/8tBFA5zkWZzngPNZWVlOp9OjdqtZlW2VZHV6hMCcUUBulxm8M8ZyIrLI m8ytLS8v7+/vJ79FRUVchUWXlJSQAFEQY5kwfFj9uV0WILWeRz2UF8VW1K4i +ss1DQ0NDQ0NDY3Hg8Ou1WAuw/WlFO7Iyx3I12QmrGugWSG7v5k3yv6DphDZ qm/TslaYuVmwmcZr7EAhO5Vs3durblPOHFn/A6zxoKsaGhoaGhoaGhpfDQ7L eB87jokaGhoaGhoaGhoaTwoONY/3/kFXDQ0NDQ0NDQ0NjeOPh2G809PTyxoa GhoaGhoaGhpPIJaWllwu18G7DHs8ngUNDQ0NDQ0NDQ2NJxnz8/MHMF4NDQ0N DQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0N DQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDQ0NDY2vFf4HwByvOQ== "], {{0, 292}, {934, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{934., Automatic}, ImageSizeRaw->{934, 292}, PlotRange->{{0, 934}, {0, 292}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.7652779111707363`*^9, 3.76527800524758*^9, {3.765278058191844*^9, 3.765278071751793*^9}, 3.765278898120117*^9, 3.7652790124271603`*^9}, CellLabel->"Out[14]=", CellID->1917868518] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Properties and Relations", "Subsection", CellID->1969074075], Cell[TextData[{ Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Dataset", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Dataset"], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " gives a result that can not be copied:" }], "Text", CellChangeTimes->{{3.765277387903873*^9, 3.765277390327531*^9}, { 3.7652774392869587`*^9, 3.7652774635123367`*^9}, 3.765277503854734*^9}, CellID->649685796], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"dataset", "=", RowBox[{"Dataset", "[", RowBox[{"{", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "1"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", "1", "}"}]}]}], "|>"}], "}"}], "]"}]}]], "Input", CellChangeTimes->{{3.765277468109668*^9, 3.765277468836982*^9}, 3.765278906300408*^9}, CellLabel->"In[9]:=", CellID->1880649437], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnWtIVN8ahycjKiqKovoS3SMqKiKKQ0Qh0YfTFf6Hgj5qp6zMS2qlpyuZ ZqZZYIUZllKKaYZmN7ObleYlLyWOZWpWZlN4LbMLeM57fDmbOTPOnuViz57X 4X3AaNZas9fT+q299lq7oCmefn9tdTMYDIFD4Je/PPa6BwR4hPxjFHzY4Bu4 3ct3yz//7hu0xWtLwN88B0JhOPych5///v7fDMOQ5DXDMITpIAw1Q2o+CKcp BzUfhNOUg5oPwmnKQc0H4TTloOaDcJpyUPNBOE05qPkgnKYc1HwQTlMOaj4I pykHNR+E05SDmg/CacpBzQfhNOWg5oNwmnJQ80E4TTmo+SCcphzUfBBOUw5q PojLpNnW1hYfHx8XF5eXl0fBxym4TJrNzc1be0hMTKTg4xQ4TQf5OAVO00E+ ToHTdJCPU+hTmuXl5RkZGbDTiIqKOnLkyPHjx8+dO5eZmfn582d9PFUamKdp Mplu3rwJbgcPHgTVtLS0pqYmnX0U6urqsrKyzp8/HxYWFhMTc/ny5YKCgtbW Vm19zK0E3WBwtvaGt7d3cXGxI/QsPFUaKGnu3bs3MDDQwjA4OPjNmzd6+nT0 bLOzs7N37NhhPWJgCMIa+phb9SnN3bt3nzp16uLFi3AiCAkJQT0/P7/GxkbN 9Sw8VRooaSJeXl5gC7cDzDQsOXz4sJ4+wLVr1xSZiIiICxcuwGrm4+ODhV+/ ftXQx9xKMM1nz54ZjUaLwoSEBNSDWs31FMTThKGDmaYsrQ0NDfv27cMqDRcQ uz719fV4V8I8LykpUcq/fPly5cqVbdu2OT1NW1fAsUpPT9fWzaIXwTQvXbpk UZWfn49VMPF080lKSsJOb9++bV2r+XPc3Eo8TdhgwEMcHuXh4eGwzPr6+iqL W3JysiMMzT1VGqjsaWHLgbdJdHS0bj4nTpyAHqHflpYWrToVtBJMs6ioCNaN XjdClNMEYGsEVQcOHNDNZ8+ePdDj/v37tepRBPE04ZaERxKO2KFDhyC73Nxc eCKUlZXRTxN2bqitmw/udo4ePapVjyKIpwnHTBwuOMq1t7cr5fBYp58m7mxP njypmw9soaHHoKAgrXoUQTxNEAO9gIAAOEaZl9NPs7q6GqtgM6mbz9mzZ7HT mpoarToVtBJJ09/fHx/rFm9+7t+/TzlNWEbgdIxVz58/180HVjDs9PTp09bz PyUlxRGvg8TTjIyMRL2YmJjHjx9XVlbm5OTAcZjaLig4OPjWrVu1tbWNjY0V FRWwj8VyUNXTB7ayyjkXhq60tPTjx4/wlevXr8P6ttXZbw/Ky8uVXRDlPW2v 7Nq1S2TTrqEPAHPJ/ARngdPfHuTl5cGwmCvBhIc9LaacmpqquZ6Fp0oDuBdQ A+4Ii2NURETEhw8fdPZB4H6EB+j27dvNfUJDQ+/du2ex/GpoJegGwIx6+fIl rLRwNnn//r3mPrYQN+zouU+NRuPTp08LCwsd+tZFsDEEV1dXV1xcXFVVZTKZ HOFjbtUnN6dAzZCaD8JpykHNB+E05aDmg3CaclDzQThNOaj5IJymHNR8EE5T Dmo+CKcpBzUfhNOUg5oPwmnKQc0H4TTloOaDcJpyUPNBXjMMQx5n/18BalAz pOaDcJpyUPNBOE05qPkgnKYc1HwQTlMOaj4IpykHNR+E05SDmg/CacpBzQfh NOWg5oNwmnJQ80E4TTmo+SCcphzUfBBOUw5xn/T09E2bNrm7u585c8a6tru7 e+XKlYsXLy4qKrKogvbwrY0bNz548KBPVtTGyhpqhoI+iYmJhv/h7e1t3eDq 1atYe+fOHYsqPz8/rBowYEBGRoa4FbWxsoaaoaDPokWLII5p06bFxsa+ePFC KU9NTY2IiFi7du3AgQNtpVlWVhYdHT116lSoXbZsmbiVxFipLBGOoJ+mOWTI EMgiOTnZonzixImG/8c6TSQzMxNqR48eLW4lMVYqS4Qj6I9p/vr1C4eooKDA oioqKupfPcAjVX0YS0tLscGfP38ErcTHSmSJcAT9Mc2uri4covLyclttHj16 pD6MFRUV2ODHjx+CVuJjJb5EaEt/TFO5N6uqqmy1sZsmzARs0NbWJmglPlbi S4S2qBu+e/cusYfs7Gzr2rq6OqwtLCzUxwdpbW3FIQI9W23spmk0GrFBY2Oj oJXEzLeroS3qhi0tLVOmTEEfi818Z2fnnDlzoBw2JCUlJfr4IDB5oF83Nze4 SW21sTuMHR0d2CA3N1fQqr+nCcD+HzeQo0aNqq+vV8o9PT3RE+5NPX2AzZs3 Q7/z589XaSMyjAsXLoQGsBgKWrlAmkB8fDwqwbnp9+/fUJKUlIQlPj4+evo8 efJk1apV2HVKSorKdUSG8caNG9hmxYoVDx8+tGvlGmkCHh4eaBUQEABPnGHD hhl6jt4i23sNfY4dO4Yavb7NM0dwGOPi4rBZaGioXSuXSRO28bCyodjYsWPh 1wkTJphMJp19EhISBg8ebOg59dfU1KhcR2QYX716NWbMGGgD14T1x66Vy6QJ vH37duTIkegGf3wHvaqy6/Pt27cFCxaAw+rVq1WaiQwjLtpz586Fa4pYuVKa wIYNG9Bt5syZP3/+dJZPVlYWOAwaNKirq8tWG7vD2N3djbd5enq6oJUrpZmc nGwww8vLy1k+DQ0N6FBdXW1R9f3797YelB1OWloalkCVectPnz5hg9raWkEr l0kTHjG481m+fLm7uzsaans2Efdpb29HAevVftKkSQYbzJo1y7wlPHaxvLm5 WdDKNdKEiT1jxgxQGjduHEzppqam8ePHw8ehQ4dWVFTo76O8p7V+BzV58mRb ac6ePdu8ZWVlJZZ3dnYKWomnKb5EaItdQ3i+rFu3ztDzd7t3797FwpycHPgI hdOnTxd5z6mhDwBnXltpilNWVoYXwRO0iJV4muJLhLbYNQwLC0ONkJAQ83L4 iOXr16+HxHXzQfD1lMhLOVvAzIQrwOND3Eo8TfElQlvUDfPz893c3MBh6dKl Fi8K4OOSJUvQMDY2Vh8fBZjh0O+aNWuMRqPKzrZXoD3sfOC7cIV58+aJW0k8 N3WGmqGgT3h4uDLbd+7c2aculH8XBERGRopbURsra6gZCvrA/RUUFDRixAiJ NP39/eFbw4cPhysInpo5TTn66gOx9vVdMbSHb/XpWc9pykHNB+E05aDmg3Ca clDzQThNOaj5IJymHNR8EE5TDmo+CKcpBzUfhNOUg5oPwmnKQc0H4TTloOaD cJpyUPNBXjMMQxhnrxAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzCMPP8BOhce8g== "], {{0, 134}, {154, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{77., Automatic}, ImageSizeRaw->{154, 134}, PlotRange->{{0, 154}, {0, 134}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.7652774175087147`*^9, 3.7652774696427298`*^9, 3.765278907561913*^9, 3.7652790166715593`*^9, 3.765279103393937*^9}, CellLabel->"Out[9]=", CellID->1356272391] }, Open ]], Cell[BoxData[ TemplateBox[{TagBox[ DynamicModuleBox[{ TypeSystem`NestedGrid`PackagePrivate`$state$$ = Data`UnorderedAssociation[ "RowCount" -> 1, "Length" -> 1, "InitialType" -> TypeSystem`Vector[ TypeSystem`Struct[{"a", "b", "c"}, { TypeSystem`Atom[Integer], TypeSystem`Atom[String], TypeSystem`Vector[ TypeSystem`Atom[Integer], 1]}], 1], "Shape" -> TypeSystem`PackageScope`HeaderShape[ Association[{All, "a"} -> 1, {All, "b"} -> 1, {All, "c"} -> 1], TypeSystem`PackageScope`Limited[ TypeSystem`PackageScope`ColumnShape[ TypeSystem`PackageScope`RowShape[ Association[ "a" -> TypeSystem`PackageScope`AtomShape[34], "b" -> TypeSystem`PackageScope`AtomShape[28.800000000000004`], "c" -> TypeSystem`PackageScope`UnknownShape]]], 1, {}]], "InitialData" -> TypeSystem`PackageScope`CacheHandle[1712338399], "Type" -> TypeSystem`Vector[ TypeSystem`Struct[{"a", "b", "c"}, { TypeSystem`Atom[Integer], TypeSystem`Atom[String], TypeSystem`Vector[ TypeSystem`Atom[Integer], 1]}], 1], "HandleQ" -> True, "RowTarget" -> 20, "Data" -> TypeSystem`PackageScope`CacheHandle[1712338399]], TypeSystem`NestedGrid`PackagePrivate`$path$$ = {}, TypeSystem`NestedGrid`PackagePrivate`$pos$$ = 1, TypeSystem`NestedGrid`PackagePrivate`$grid$$ = DynamicModule[{ TypeSystem`NestedGrid`PackagePrivate`renderedGrid = Deploy[ Style[ Grid[{{ Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Pane[ RawBoxes[ StyleBox["\"a\"", FontColor -> GrayLevel[0.4]]], {{ 20, Full}, 15}], Style[ Pane[ RawBoxes[ StyleBox[ "\"a\"", FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], {{20, Full}, 15}], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 69085964][{ All, "a"}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[69085964][ GeneralUtilities`Slice[All, "a"]], "Mouse"], Background -> GrayLevel[0.95], Alignment -> {Left, Baseline}], Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Pane[ RawBoxes[ StyleBox["\"b\"", FontColor -> GrayLevel[0.4]]], {{ 20, Full}, 15}], Style[ Pane[ RawBoxes[ StyleBox[ "\"b\"", FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], {{20, Full}, 15}], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 69085964][{ All, "b"}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[69085964][ GeneralUtilities`Slice[All, "b"]], "Mouse"], Background -> GrayLevel[0.95], Alignment -> {Left, Baseline}], Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Pane[ RawBoxes[ StyleBox["\"c\"", FontColor -> GrayLevel[0.4]]], {{ 20, Full}, 15}], Style[ Pane[ RawBoxes[ StyleBox[ "\"c\"", FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], {{20, Full}, 15}], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 69085964][{ All, "c"}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[69085964][ GeneralUtilities`Slice[All, "c"]], "Mouse"], Background -> GrayLevel[0.95], Alignment -> {Left, Baseline}]}, { Pane[ Annotation[ RawBoxes["1"], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[69085964][ GeneralUtilities`Slice[1, Key["a"]]], "Mouse"], ImageSize -> {{34, Full}, Automatic}, Alignment -> {Left, Baseline}], Pane[ Annotation["x", TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[69085964][ GeneralUtilities`Slice[1, Key["b"]]], "Mouse"], ImageSize -> {{28.800000000000004`, Full}, Automatic}, Alignment -> {Left, Baseline}], Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Style[{1}, ShowStringCharacters -> False], Style[ Style[{1}, ShowStringCharacters -> False], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 69085964][{ 1, Key["c"]}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[69085964][ GeneralUtilities`Slice[1, Key["c"]]], "Mouse"]]}}, BaseStyle -> {ContextMenu -> { MenuItem["Copy position to clipboard", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ TypeSystem`NestedGrid`PackagePrivate`copyClip]], MenuEvaluator -> Automatic], MenuItem["Copy data to clipboard", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`copyClip]], MenuEvaluator -> Automatic], Delimiter, MenuItem["Paste position in new cell", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ TypeSystem`NestedGrid`PackagePrivate`cellPaste]], MenuEvaluator -> Automatic], MenuItem["Paste data in new cell", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`cellPaste]], MenuEvaluator -> Automatic]}, FontFamily -> "Verdana", FontSize -> 12}, Alignment -> Left, RowMinHeight -> 1.5, Dividers -> All, FrameStyle -> GrayLevel[0.85], BaseStyle -> {FontFamily -> "Verdana", FontSize -> 12}], LineBreakWithin -> False, ContextMenu -> {}, NumberMarks -> False, ShowAutoStyles -> False]], TypeSystem`NestedGrid`PackagePrivate`initialQ = True, TypeSystem`NestedGrid`PackagePrivate`self = $Failed}, Dynamic[ TypeSystem`NestedGrid`PackagePrivate`setupViewPath[ TypeSystem`NestedGrid`PackagePrivate`$path$$, If[ Not[TypeSystem`NestedGrid`PackagePrivate`initialQ], Module[{TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = $Failed, TypeSystem`NestedGrid`PackagePrivate`tmpData$ = TypeSystem`NestedGrid`PackagePrivate`LookupCacheValue[ TypeSystem`NestedGrid`PackagePrivate`$state$$["Data"]]}, TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = If[TypeSystem`NestedGrid`PackagePrivate`tmpData$ === TypeSystem`NestedGrid`PackagePrivate`$NotCached, TypeSystem`NestedGrid`PackagePrivate`renderedGrid, TypeSystem`NestedGrid`PackagePrivate`renderGrid[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 69085964][ TypeSystem`NestedGrid`PackagePrivate`tmpData$]]; If[ Not[ FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], TypeSystem`NestedGrid`PackagePrivate`renderedGrid = TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; TypeSystem`NestedGrid`PackagePrivate`initialQ = False; TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ FailureQ[TypeSystem`NestedGrid`PackagePrivate`renderedGrid], TypeSystem`SparseGrid[ TypeSystem`H["(data no longer present)"]], If[GeneralUtilities`$DebugMode, Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, " ", TypeSystem`NestedGrid`PackagePrivate`formatState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], TrackedSymbols :> {TypeSystem`NestedGrid`PackagePrivate`$pos$$}], DynamicModuleValues :> {}], TypeSystem`NestedGrid`PackagePrivate`$posCell$$, TypeSystem`NestedGrid`PackagePrivate`$topBar$$ = Dynamic[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`makeFramedBar[ TypeSystem`PackageScope`Pathbar[ TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 69085964]]]], TrackedSymbols :> {TypeSystem`NestedGrid`PackagePrivate`$path$$}], TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$ = Framed[ Dynamic[ Replace[ MouseAnnotation[Null], { TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[69085964][Null] -> "", TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[69085964][ Pattern[TypeSystem`NestedGrid`PackagePrivate`path, Blank[]]] :> ( TypeSystem`NestedGrid`PackagePrivate`$lastPath = TypeSystem`NestedGrid`PackagePrivate`path; TypeSystem`NestedGrid`PackagePrivate`makePathTrail[ TypeSystem`NestedGrid`PackagePrivate`path, TypeSystem`NestedGrid`PackagePrivate`makePathElements]), Null :> Spacer[10], Blank[] :> Spacer[10]}], TrackedSymbols :> {}], FrameStyle -> None, ImageMargins -> 0, FrameMargins -> 0, Alignment -> Top, ImageSize -> {Automatic, 14}]}, DynamicBox[ ToBoxes[ Column[ If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, { TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ TypeSystem`NestedGrid`PackagePrivate`$grid$$, TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$], TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}, { TypeSystem`NestedGrid`PackagePrivate`$topBar$$, TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ TypeSystem`NestedGrid`PackagePrivate`$grid$$, TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$], TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}], Spacings -> If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, 0, {{}, {0, 0.05, 0}}]], StandardForm], ImageSizeCache -> {112., {30.5, 36.5}}, TrackedSymbols :> { TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$}], BaseStyle -> {LineBreakWithin -> False}, Deinitialization :> TypeSystem`NestedGrid`PackagePrivate`deleteState[ TypeSystem`NestedGrid`PackagePrivate`$state$$], DynamicModuleValues :> {}, Initialization :> Block[{$ContextPath = $ContextPath}, Needs["TypeSystem`"]]], Deploy, DefaultBaseStyle -> "Deploy"]}, "CopyTag", DisplayFunction->(#& ), InterpretationFunction->("Dataset[<>]"& )]], "Input", CellChangeTimes->{{3.765278925196196*^9, 3.7652789295654993`*^9}, 3.765279029082739*^9}, EmphasizeSyntaxErrors->True, CellLabel->"In[17]:=", CellID->50860780], Cell[TextData[{ "Use ", Cell[BoxData["DatasetForm"], "InlineFormula", FontFamily->"Source Sans Pro"], " on the dataset to make it copyable:" }], "Text", CellChangeTimes->{{3.765277482377673*^9, 3.765277501938259*^9}}, CellID->1962246161], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DatasetForm", "[", "dataset", "]"}]], "Input", CellChangeTimes->{{3.765277160624599*^9, 3.7652771875537252`*^9}, { 3.765277224416291*^9, 3.7652772382182217`*^9}, {3.765277393603437*^9, 3.7652774221980124`*^9}}, CellLabel->"In[10]:=", CellID->836153427], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnWtIVN8ahycjKiqKovoS3SMqKiKKQ0Qh0YfTFf6Hgj5qp6zMS2qlpyuZ ZqZZYIUZllKKaYZmN7ObleYlLyWOZWpWZlN4LbMLeM57fDmbOTPOnuViz57X 4X3AaNZas9fT+q299lq7oCmefn9tdTMYDIFD4Je/PPa6BwR4hPxjFHzY4Bu4 3ct3yz//7hu0xWtLwN88B0JhOPych5///v7fDMOQ5DXDMITpIAw1Q2o+CKcp BzUfhNOUg5oPwmnKQc0H4TTloOaDcJpyUPNBOE05qPkgnKYc1HwQTlMOaj4I pykHNR+E05SDmg/CacpBzQfhNOWg5oNwmnJQ80E4TTmo+SCcphzUfBBOUw5q PojLpNnW1hYfHx8XF5eXl0fBxym4TJrNzc1be0hMTKTg4xQ4TQf5OAVO00E+ ToHTdJCPU+hTmuXl5RkZGbDTiIqKOnLkyPHjx8+dO5eZmfn582d9PFUamKdp Mplu3rwJbgcPHgTVtLS0pqYmnX0U6urqsrKyzp8/HxYWFhMTc/ny5YKCgtbW Vm19zK0E3WBwtvaGt7d3cXGxI/QsPFUaKGnu3bs3MDDQwjA4OPjNmzd6+nT0 bLOzs7N37NhhPWJgCMIa+phb9SnN3bt3nzp16uLFi3AiCAkJQT0/P7/GxkbN 9Sw8VRooaSJeXl5gC7cDzDQsOXz4sJ4+wLVr1xSZiIiICxcuwGrm4+ODhV+/ ftXQx9xKMM1nz54ZjUaLwoSEBNSDWs31FMTThKGDmaYsrQ0NDfv27cMqDRcQ uz719fV4V8I8LykpUcq/fPly5cqVbdu2OT1NW1fAsUpPT9fWzaIXwTQvXbpk UZWfn49VMPF080lKSsJOb9++bV2r+XPc3Eo8TdhgwEMcHuXh4eGwzPr6+iqL W3JysiMMzT1VGqjsaWHLgbdJdHS0bj4nTpyAHqHflpYWrToVtBJMs6ioCNaN XjdClNMEYGsEVQcOHNDNZ8+ePdDj/v37tepRBPE04ZaERxKO2KFDhyC73Nxc eCKUlZXRTxN2bqitmw/udo4ePapVjyKIpwnHTBwuOMq1t7cr5fBYp58m7mxP njypmw9soaHHoKAgrXoUQTxNEAO9gIAAOEaZl9NPs7q6GqtgM6mbz9mzZ7HT mpoarToVtBJJ09/fHx/rFm9+7t+/TzlNWEbgdIxVz58/180HVjDs9PTp09bz PyUlxRGvg8TTjIyMRL2YmJjHjx9XVlbm5OTAcZjaLig4OPjWrVu1tbWNjY0V FRWwj8VyUNXTB7ayyjkXhq60tPTjx4/wlevXr8P6ttXZbw/Ky8uVXRDlPW2v 7Nq1S2TTrqEPAHPJ/ARngdPfHuTl5cGwmCvBhIc9LaacmpqquZ6Fp0oDuBdQ A+4Ii2NURETEhw8fdPZB4H6EB+j27dvNfUJDQ+/du2ex/GpoJegGwIx6+fIl rLRwNnn//r3mPrYQN+zouU+NRuPTp08LCwsd+tZFsDEEV1dXV1xcXFVVZTKZ HOFjbtUnN6dAzZCaD8JpykHNB+E05aDmg3CaclDzQThNOaj5IJymHNR8EE5T Dmo+CKcpBzUfhNOUg5oPwmnKQc0H4TTloOaDcJpyUPNBXjMMQx5n/18BalAz pOaDcJpyUPNBOE05qPkgnKYc1HwQTlMOaj4IpykHNR+E05SDmg/CacpBzQfh NOWg5oNwmnJQ80E4TTmo+SCcphzUfBBOUw5xn/T09E2bNrm7u585c8a6tru7 e+XKlYsXLy4qKrKogvbwrY0bNz548KBPVtTGyhpqhoI+iYmJhv/h7e1t3eDq 1atYe+fOHYsqPz8/rBowYEBGRoa4FbWxsoaaoaDPokWLII5p06bFxsa+ePFC KU9NTY2IiFi7du3AgQNtpVlWVhYdHT116lSoXbZsmbiVxFipLBGOoJ+mOWTI EMgiOTnZonzixImG/8c6TSQzMxNqR48eLW4lMVYqS4Qj6I9p/vr1C4eooKDA oioqKupfPcAjVX0YS0tLscGfP38ErcTHSmSJcAT9Mc2uri4covLyclttHj16 pD6MFRUV2ODHjx+CVuJjJb5EaEt/TFO5N6uqqmy1sZsmzARs0NbWJmglPlbi S4S2qBu+e/cusYfs7Gzr2rq6OqwtLCzUxwdpbW3FIQI9W23spmk0GrFBY2Oj oJXEzLeroS3qhi0tLVOmTEEfi818Z2fnnDlzoBw2JCUlJfr4IDB5oF83Nze4 SW21sTuMHR0d2CA3N1fQqr+nCcD+HzeQo0aNqq+vV8o9PT3RE+5NPX2AzZs3 Q7/z589XaSMyjAsXLoQGsBgKWrlAmkB8fDwqwbnp9+/fUJKUlIQlPj4+evo8 efJk1apV2HVKSorKdUSG8caNG9hmxYoVDx8+tGvlGmkCHh4eaBUQEABPnGHD hhl6jt4i23sNfY4dO4Yavb7NM0dwGOPi4rBZaGioXSuXSRO28bCyodjYsWPh 1wkTJphMJp19EhISBg8ebOg59dfU1KhcR2QYX716NWbMGGgD14T1x66Vy6QJ vH37duTIkegGf3wHvaqy6/Pt27cFCxaAw+rVq1WaiQwjLtpz586Fa4pYuVKa wIYNG9Bt5syZP3/+dJZPVlYWOAwaNKirq8tWG7vD2N3djbd5enq6oJUrpZmc nGwww8vLy1k+DQ0N6FBdXW1R9f3797YelB1OWloalkCVectPnz5hg9raWkEr l0kTHjG481m+fLm7uzsaans2Efdpb29HAevVftKkSQYbzJo1y7wlPHaxvLm5 WdDKNdKEiT1jxgxQGjduHEzppqam8ePHw8ehQ4dWVFTo76O8p7V+BzV58mRb ac6ePdu8ZWVlJZZ3dnYKWomnKb5EaItdQ3i+rFu3ztDzd7t3797FwpycHPgI hdOnTxd5z6mhDwBnXltpilNWVoYXwRO0iJV4muJLhLbYNQwLC0ONkJAQ83L4 iOXr16+HxHXzQfD1lMhLOVvAzIQrwOND3Eo8TfElQlvUDfPz893c3MBh6dKl Fi8K4OOSJUvQMDY2Vh8fBZjh0O+aNWuMRqPKzrZXoD3sfOC7cIV58+aJW0k8 N3WGmqGgT3h4uDLbd+7c2aculH8XBERGRopbURsra6gZCvrA/RUUFDRixAiJ NP39/eFbw4cPhysInpo5TTn66gOx9vVdMbSHb/XpWc9pykHNB+E05aDmg3Ca clDzQThNOaj5IJymHNR8EE5TDmo+CKcpBzUfhNOUg5oPwmnKQc0H4TTloOaD cJpyUPNBXjMMQxhnrxAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzCMPP8BOhce8g== "], {{0, 134}, {154, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{77., Automatic}, ImageSizeRaw->{154, 134}, PlotRange->{{0, 154}, {0, 134}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.7652771881664047`*^9, {3.765277219208744*^9, 3.765277238510832*^9}, 3.765277422700891*^9, 3.76527749335469*^9, {3.765279032928465*^9, 3.765279045725512*^9}, 3.7652791056041193`*^9}, CellLabel->"Out[10]=", CellID->1848893047] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[ DynamicModuleBox[{TypeSystem`NestedGrid`PackagePrivate`$state$$ = Data`UnorderedAssociation[ "RowCount" -> 1, "Length" -> 1, "InitialType" -> TypeSystem`Vector[ TypeSystem`Struct[{"a", "b", "c"}, { TypeSystem`Atom[Integer], TypeSystem`Atom[String], TypeSystem`Vector[ TypeSystem`Atom[Integer], 1]}], 1], "Shape" -> TypeSystem`PackageScope`HeaderShape[ Association[{All, "a"} -> 1, {All, "b"} -> 1, {All, "c"} -> 1], TypeSystem`PackageScope`Limited[ TypeSystem`PackageScope`ColumnShape[ TypeSystem`PackageScope`RowShape[ Association[ "a" -> TypeSystem`PackageScope`AtomShape[34], "b" -> TypeSystem`PackageScope`AtomShape[28.800000000000004`], "c" -> TypeSystem`PackageScope`UnknownShape]]], 1, {}]], "InitialData" -> TypeSystem`PackageScope`CacheHandle[1470722665], "Type" -> TypeSystem`Vector[ TypeSystem`Struct[{"a", "b", "c"}, { TypeSystem`Atom[Integer], TypeSystem`Atom[String], TypeSystem`Vector[ TypeSystem`Atom[Integer], 1]}], 1], "HandleQ" -> True, "RowTarget" -> 20, "Data" -> TypeSystem`PackageScope`CacheHandle[1470722665]], TypeSystem`NestedGrid`PackagePrivate`$path$$ = {}, TypeSystem`NestedGrid`PackagePrivate`$pos$$ = 1, TypeSystem`NestedGrid`PackagePrivate`$grid$$ = DynamicModule[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid = Deploy[ Style[ Grid[{{ Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Pane[ RawBoxes[ StyleBox["\"a\"", FontColor -> GrayLevel[0.4]]], {{ 20, Full}, 15}], Style[ Pane[ RawBoxes[ StyleBox[ "\"a\"", FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], {{20, Full}, 15}], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 772564195][{ All, "a"}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[772564195][ GeneralUtilities`Slice[All, "a"]], "Mouse"], Background -> GrayLevel[0.95], Alignment -> {Left, Baseline}], Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Pane[ RawBoxes[ StyleBox["\"b\"", FontColor -> GrayLevel[0.4]]], {{ 20, Full}, 15}], Style[ Pane[ RawBoxes[ StyleBox[ "\"b\"", FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], {{20, Full}, 15}], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 772564195][{ All, "b"}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[772564195][ GeneralUtilities`Slice[All, "b"]], "Mouse"], Background -> GrayLevel[0.95], Alignment -> {Left, Baseline}], Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Pane[ RawBoxes[ StyleBox["\"c\"", FontColor -> GrayLevel[0.4]]], {{ 20, Full}, 15}], Style[ Pane[ RawBoxes[ StyleBox[ "\"c\"", FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], {{20, Full}, 15}], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 772564195][{ All, "c"}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[772564195][ GeneralUtilities`Slice[All, "c"]], "Mouse"], Background -> GrayLevel[0.95], Alignment -> {Left, Baseline}]}, { Pane[ Annotation[ RawBoxes["1"], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[772564195][ GeneralUtilities`Slice[1, Key["a"]]], "Mouse"], ImageSize -> {{34, Full}, Automatic}, Alignment -> {Left, Baseline}], Pane[ Annotation["x", TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[772564195][ GeneralUtilities`Slice[1, Key["b"]]], "Mouse"], ImageSize -> {{28.800000000000004`, Full}, Automatic}, Alignment -> {Left, Baseline}], Item[ Annotation[ EventHandler[ MouseAppearance[ Mouseover[ Style[{1}, ShowStringCharacters -> False], Style[ Style[{1}, ShowStringCharacters -> False], FontColor -> RGBColor[ 0.27450980392156865`, 0.5372549019607843, 0.792156862745098]]], "LinkHand"], {"MouseClicked", 1} :> TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 772564195][{1, Key["c"]}]], TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[772564195][ GeneralUtilities`Slice[1, Key["c"]]], "Mouse"]]}}, BaseStyle -> {ContextMenu -> { MenuItem["Copy position to clipboard", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ TypeSystem`NestedGrid`PackagePrivate`copyClip]], MenuEvaluator -> Automatic], MenuItem["Copy data to clipboard", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`copyClip]], MenuEvaluator -> Automatic], Delimiter, MenuItem["Paste position in new cell", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentPosition[ TypeSystem`NestedGrid`PackagePrivate`cellPaste]], MenuEvaluator -> Automatic], MenuItem["Paste data in new cell", KernelExecute[ TypeSystem`NestedGrid`PackagePrivate`toCurrentData[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`cellPaste]], MenuEvaluator -> Automatic]}, FontFamily -> "Verdana", FontSize -> 12}, Alignment -> Left, RowMinHeight -> 1.5, Dividers -> All, FrameStyle -> GrayLevel[0.85], BaseStyle -> {FontFamily -> "Verdana", FontSize -> 12}], LineBreakWithin -> False, ContextMenu -> {}, NumberMarks -> False, ShowAutoStyles -> False]], TypeSystem`NestedGrid`PackagePrivate`initialQ = True, TypeSystem`NestedGrid`PackagePrivate`self = $Failed}, Dynamic[ TypeSystem`NestedGrid`PackagePrivate`setupViewPath[ TypeSystem`NestedGrid`PackagePrivate`$path$$, If[ Not[TypeSystem`NestedGrid`PackagePrivate`initialQ], Module[{ TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = $Failed, TypeSystem`NestedGrid`PackagePrivate`tmpData$ = TypeSystem`NestedGrid`PackagePrivate`LookupCacheValue[ TypeSystem`NestedGrid`PackagePrivate`$state$$["Data"]]}, TypeSystem`NestedGrid`PackagePrivate`tmpGrid$ = If[TypeSystem`NestedGrid`PackagePrivate`tmpData$ === TypeSystem`NestedGrid`PackagePrivate`$NotCached, TypeSystem`NestedGrid`PackagePrivate`renderedGrid, TypeSystem`NestedGrid`PackagePrivate`renderGrid[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 772564195][ TypeSystem`NestedGrid`PackagePrivate`tmpData$]]; If[ Not[ FailureQ[TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]], TypeSystem`NestedGrid`PackagePrivate`renderedGrid = TypeSystem`NestedGrid`PackagePrivate`tmpGrid$]; Null]]; TypeSystem`NestedGrid`PackagePrivate`initialQ = False; TypeSystem`NestedGrid`PackagePrivate`$pos$$; If[ FailureQ[TypeSystem`NestedGrid`PackagePrivate`renderedGrid], TypeSystem`SparseGrid[ TypeSystem`H["(data no longer present)"]], If[GeneralUtilities`$DebugMode, Row[{TypeSystem`NestedGrid`PackagePrivate`renderedGrid, " ", TypeSystem`NestedGrid`PackagePrivate`formatState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$]}], TypeSystem`NestedGrid`PackagePrivate`renderedGrid]]], TrackedSymbols :> {TypeSystem`NestedGrid`PackagePrivate`$pos$$}], DynamicModuleValues :> {}], TypeSystem`NestedGrid`PackagePrivate`$posCell$$, TypeSystem`NestedGrid`PackagePrivate`$topBar$$ = Dynamic[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`makeFramedBar[ TypeSystem`PackageScope`Pathbar[ TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`updateState[ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$path$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$, 772564195]]]], TrackedSymbols :> {TypeSystem`NestedGrid`PackagePrivate`$path$$}], TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$ = Framed[ Dynamic[ Replace[ MouseAnnotation[Null], { TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[772564195][Null] -> "", TypeSystem`NestedGrid`PackagePrivate`$SliceMarker[772564195][ Pattern[TypeSystem`NestedGrid`PackagePrivate`path, Blank[]]] :> ( TypeSystem`NestedGrid`PackagePrivate`$lastPath = TypeSystem`NestedGrid`PackagePrivate`path; TypeSystem`NestedGrid`PackagePrivate`makePathTrail[ TypeSystem`NestedGrid`PackagePrivate`path, TypeSystem`NestedGrid`PackagePrivate`makePathElements]), Null :> Spacer[10], Blank[] :> Spacer[10]}], TrackedSymbols :> {}], FrameStyle -> None, ImageMargins -> 0, FrameMargins -> 0, Alignment -> Top, ImageSize -> {Automatic, 14}]}, DynamicBox[ToBoxes[ Column[ If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, { TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ TypeSystem`NestedGrid`PackagePrivate`$grid$$, TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$], TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}, { TypeSystem`NestedGrid`PackagePrivate`$topBar$$, TypeSystem`NestedGrid`PackagePrivate`displayScrollBar[ TypeSystem`NestedGrid`PackagePrivate`$grid$$, TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$pos$$], TypeSystem`NestedGrid`PackagePrivate`onDesktopShow[ TypeSystem`NestedGrid`PackagePrivate`alignBar[ TypeSystem`NestedGrid`PackagePrivate`$state$$][ TypeSystem`NestedGrid`PackagePrivate`$bottomBar$$]]}], Spacings -> If[TypeSystem`NestedGrid`PackagePrivate`$path$$ == {}, 0, {{}, {0, 0.05, 0}}]], StandardForm], ImageSizeCache->{112., {30.5, 36.5}}, TrackedSymbols:>{ TypeSystem`NestedGrid`PackagePrivate`$state$$, TypeSystem`NestedGrid`PackagePrivate`$grid$$}], BaseStyle->{LineBreakWithin -> False}, Deinitialization:>TypeSystem`NestedGrid`PackagePrivate`deleteState[ TypeSystem`NestedGrid`PackagePrivate`$state$$], DynamicModuleValues:>{}, Initialization:>Block[{$ContextPath = $ContextPath}, Needs["TypeSystem`"]]], Removed["Dataset"][{ Association["a" -> 1, "b" -> "x", "c" -> {1}]}, TypeSystem`Vector[ TypeSystem`Struct[{"a", "b", "c"}, { TypeSystem`Atom[Integer], TypeSystem`Atom[String], TypeSystem`Vector[ TypeSystem`Atom[Integer], 1]}], 1], Association["ID" -> 103354260748847]]]], "Input", CellChangeTimes->{{3.7652790415844*^9, 3.7652790502413673`*^9}, 3.765279112740138*^9}, CellLabel->"In[11]:=", CellID->688622900], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnWtIVN8ahycjKiqKovoS3SMqKiKKQ0Qh0YfTFf6Hgj5qp6zMS2qlpyuZ ZqZZYIUZllKKaYZmN7ObleYlLyWOZWpWZlN4LbMLeM57fDmbOTPOnuViz57X 4X3AaNZas9fT+q299lq7oCmefn9tdTMYDIFD4Je/PPa6BwR4hPxjFHzY4Bu4 3ct3yz//7hu0xWtLwN88B0JhOPych5///v7fDMOQ5DXDMITpIAw1Q2o+CKcp BzUfhNOUg5oPwmnKQc0H4TTloOaDcJpyUPNBOE05qPkgnKYc1HwQTlMOaj4I pykHNR+E05SDmg/CacpBzQfhNOWg5oNwmnJQ80E4TTmo+SCcphzUfBBOUw5q PojLpNnW1hYfHx8XF5eXl0fBxym4TJrNzc1be0hMTKTg4xQ4TQf5OAVO00E+ ToHTdJCPU+hTmuXl5RkZGbDTiIqKOnLkyPHjx8+dO5eZmfn582d9PFUamKdp Mplu3rwJbgcPHgTVtLS0pqYmnX0U6urqsrKyzp8/HxYWFhMTc/ny5YKCgtbW Vm19zK0E3WBwtvaGt7d3cXGxI/QsPFUaKGnu3bs3MDDQwjA4OPjNmzd6+nT0 bLOzs7N37NhhPWJgCMIa+phb9SnN3bt3nzp16uLFi3AiCAkJQT0/P7/GxkbN 9Sw8VRooaSJeXl5gC7cDzDQsOXz4sJ4+wLVr1xSZiIiICxcuwGrm4+ODhV+/ ftXQx9xKMM1nz54ZjUaLwoSEBNSDWs31FMTThKGDmaYsrQ0NDfv27cMqDRcQ uz719fV4V8I8LykpUcq/fPly5cqVbdu2OT1NW1fAsUpPT9fWzaIXwTQvXbpk UZWfn49VMPF080lKSsJOb9++bV2r+XPc3Eo8TdhgwEMcHuXh4eGwzPr6+iqL W3JysiMMzT1VGqjsaWHLgbdJdHS0bj4nTpyAHqHflpYWrToVtBJMs6ioCNaN XjdClNMEYGsEVQcOHNDNZ8+ePdDj/v37tepRBPE04ZaERxKO2KFDhyC73Nxc eCKUlZXRTxN2bqitmw/udo4ePapVjyKIpwnHTBwuOMq1t7cr5fBYp58m7mxP njypmw9soaHHoKAgrXoUQTxNEAO9gIAAOEaZl9NPs7q6GqtgM6mbz9mzZ7HT mpoarToVtBJJ09/fHx/rFm9+7t+/TzlNWEbgdIxVz58/180HVjDs9PTp09bz PyUlxRGvg8TTjIyMRL2YmJjHjx9XVlbm5OTAcZjaLig4OPjWrVu1tbWNjY0V FRWwj8VyUNXTB7ayyjkXhq60tPTjx4/wlevXr8P6ttXZbw/Ky8uVXRDlPW2v 7Nq1S2TTrqEPAHPJ/ARngdPfHuTl5cGwmCvBhIc9LaacmpqquZ6Fp0oDuBdQ A+4Ii2NURETEhw8fdPZB4H6EB+j27dvNfUJDQ+/du2ex/GpoJegGwIx6+fIl rLRwNnn//r3mPrYQN+zouU+NRuPTp08LCwsd+tZFsDEEV1dXV1xcXFVVZTKZ HOFjbtUnN6dAzZCaD8JpykHNB+E05aDmg3CaclDzQThNOaj5IJymHNR8EE5T Dmo+CKcpBzUfhNOUg5oPwmnKQc0H4TTloOaDcJpyUPNBXjMMQx5n/18BalAz pOaDcJpyUPNBOE05qPkgnKYc1HwQTlMOaj4IpykHNR+E05SDmg/CacpBzQfh NOWg5oNwmnJQ80E4TTmo+SCcphzUfBBOUw5xn/T09E2bNrm7u585c8a6tru7 e+XKlYsXLy4qKrKogvbwrY0bNz548KBPVtTGyhpqhoI+iYmJhv/h7e1t3eDq 1atYe+fOHYsqPz8/rBowYEBGRoa4FbWxsoaaoaDPokWLII5p06bFxsa+ePFC KU9NTY2IiFi7du3AgQNtpVlWVhYdHT116lSoXbZsmbiVxFipLBGOoJ+mOWTI EMgiOTnZonzixImG/8c6TSQzMxNqR48eLW4lMVYqS4Qj6I9p/vr1C4eooKDA oioqKupfPcAjVX0YS0tLscGfP38ErcTHSmSJcAT9Mc2uri4covLyclttHj16 pD6MFRUV2ODHjx+CVuJjJb5EaEt/TFO5N6uqqmy1sZsmzARs0NbWJmglPlbi S4S2qBu+e/cusYfs7Gzr2rq6OqwtLCzUxwdpbW3FIQI9W23spmk0GrFBY2Oj oJXEzLeroS3qhi0tLVOmTEEfi818Z2fnnDlzoBw2JCUlJfr4IDB5oF83Nze4 SW21sTuMHR0d2CA3N1fQqr+nCcD+HzeQo0aNqq+vV8o9PT3RE+5NPX2AzZs3 Q7/z589XaSMyjAsXLoQGsBgKWrlAmkB8fDwqwbnp9+/fUJKUlIQlPj4+evo8 efJk1apV2HVKSorKdUSG8caNG9hmxYoVDx8+tGvlGmkCHh4eaBUQEABPnGHD hhl6jt4i23sNfY4dO4Yavb7NM0dwGOPi4rBZaGioXSuXSRO28bCyodjYsWPh 1wkTJphMJp19EhISBg8ebOg59dfU1KhcR2QYX716NWbMGGgD14T1x66Vy6QJ vH37duTIkegGf3wHvaqy6/Pt27cFCxaAw+rVq1WaiQwjLtpz586Fa4pYuVKa wIYNG9Bt5syZP3/+dJZPVlYWOAwaNKirq8tWG7vD2N3djbd5enq6oJUrpZmc nGwww8vLy1k+DQ0N6FBdXW1R9f3797YelB1OWloalkCVectPnz5hg9raWkEr l0kTHjG481m+fLm7uzsaans2Efdpb29HAevVftKkSQYbzJo1y7wlPHaxvLm5 WdDKNdKEiT1jxgxQGjduHEzppqam8ePHw8ehQ4dWVFTo76O8p7V+BzV58mRb ac6ePdu8ZWVlJZZ3dnYKWomnKb5EaItdQ3i+rFu3ztDzd7t3797FwpycHPgI hdOnTxd5z6mhDwBnXltpilNWVoYXwRO0iJV4muJLhLbYNQwLC0ONkJAQ83L4 iOXr16+HxHXzQfD1lMhLOVvAzIQrwOND3Eo8TfElQlvUDfPz893c3MBh6dKl Fi8K4OOSJUvQMDY2Vh8fBZjh0O+aNWuMRqPKzrZXoD3sfOC7cIV58+aJW0k8 N3WGmqGgT3h4uDLbd+7c2aculH8XBERGRopbURsra6gZCvrA/RUUFDRixAiJ NP39/eFbw4cPhysInpo5TTn66gOx9vVdMbSHb/XpWc9pykHNB+E05aDmg3Ca clDzQThNOaj5IJymHNR8EE5TDmo+CKcpBzUfhNOUg5oPwmnKQc0H4TTloOaD cJpyUPNBXjMMQxhnrxAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAMwzAM wzAMwzAMwzCMPP8BOhce8g== "], {{0, 134}, {154, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{77., Automatic}, ImageSizeRaw->{154, 134}, PlotRange->{{0, 154}, {0, 134}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.765277497639433*^9, {3.7652790417511187`*^9, 3.765279050605876*^9}, 3.765279113701954*^9}, CellLabel->"Out[11]=", CellID->928844404] }, Open ]], Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", CellID->196517490], Cell[TextData[{ "The result of ", Cell[BoxData["DatasetForm"], "InlineFormula", FontFamily->"Source Sans Pro"], " is a ", Cell[BoxData["DatasetForm"], "InlineFormula", FontFamily->"Source Sans Pro"], " object:" }], "Text", CellChangeTimes->{{3.765279209010645*^9, 3.765279229305036*^9}}, CellID->1198013739], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Head", "[", RowBox[{"DatasetForm", "[", RowBox[{"Range", "[", "100", "]"}], "]"}], "]"}]], "Input", CellChangeTimes->{{3.765279231680327*^9, 3.7652792445879917`*^9}}, CellLabel->"In[17]:=", CellID->521281559], Cell[BoxData[ InterpretationBox[ TagBox[ StyleBox[ StyleBox[ FrameBox[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->Rational[10, 13] Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ StyleBox["\<\"DatasetForm\"\>", "ResourceFunctionLabel"], ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited]} }]], "ResourceFunctionFrame"], FrameBoxOptions->{Background->GrayLevel[0.5, 0.15], BaseStyle->{ "StandardForm", LineSpacing -> {0, 0}, LineBreakWithin -> False}, FrameMargins->{{3, 3}, {0, 0}}, FrameStyle->Directive[ GrayLevel[0.5, 0.35], AbsoluteThickness[0.5]], RoundingRadius->4}, GridBoxOptions->{FrameStyle->GrayLevel[1, 0], GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, GridBoxFrame->{"Columns" -> {{True}}, "Rows" -> {{True}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0.25}}, "Rows" -> {-0.1, {}, 0}}}], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "\"DatasetForm\""}], ResourceFunction["DatasetForm"], Selectable->False]], "Output", CellChangeTimes->{3.76527924531004*^9}, CellLabel->"Out[17]=", CellID->785484589] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Properties and Relations", "Subsection", CellID->754506620], Cell[TextData[{ "The output of ", Cell[BoxData["DatasetForm"], "InlineFormula", FontFamily->"Source Sans Pro"], " is not computable like a ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Dataset", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/Dataset"], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", CellChangeTimes->{{3.7652777067656317`*^9, 3.765277734989637*^9}}, CellID->271861192], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"DatasetForm", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomInteger", "[", "1000", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomReal", "[", "]"}]}]}], "|>"}], ",", RowBox[{"{", "10", "}"}]}], "]"}], "]"}], "[", RowBox[{"Select", "[", RowBox[{ RowBox[{"#x", "<", "100"}], "&"}], "]"}], "]"}]], "Input", CellChangeTimes->{{3.765277737530966*^9, 3.765277785607871*^9}}, CellLabel->"In[12]:=", CellID->2068141812], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsvQlcVsX3+P+AoLighjupiFJCrqkfdy1NxDXNrVzLLbcW0aSsNBP75lqm YqgfTUw/Kpi5t4kiopEL4QZ93JcQV1RARRD8n/9zfs3rfu59nvvMfZZBx/N+ veqFM+fOzJnhnDMzd+biP+z9Xm+7m0ymiV7wv15DP2w3YcLQyb3Lwj/6vjdx zKj3Ro7o/N4HI0eNnNB8WBFIbAuy3vDf///zI4IgCIKwzn8J4smksE2HIJ4W CtvWCcJOCtt0COJpAS0u8wlHDi0ITihMEIRI5HCwcmhBcEJhgiBEIoeDlUML ghMKEwQhEjkcrBxaEJxQmCAIkcjhYOXQguCEwgRBiEQOByuHFgQnFCYIQiRy OFg5tCA4oTBBECKRw8HKoQXBCYUJghCJHA5WDi0ITihMEIRI5HCwcmhBcEJh giBEIoeDlUMLghMKEwQhEjkcrBxaEJxQmCAIkcjhYOXQguCEwgRBiEQOByuH FgQnFCYIQiRyOFg5tCA4oTBBECKRw8HKoQXBCYUJghCJHA5WDi0ITihMEIRI 5HCwcmhBcEJhgiBEIoeDlUMLghMKEwQhEjkcrBxaEJxQmCAIkcjhYOXQguCE wgRBiEQOByuHFgQnFCYIQiRyOFg5tCA4oTBBECKx6WAh9wcz27Ztu3Pnjir3 6NGjmJuYmOhKx2ADfS1SU1OxkSkpKdrcq1evPg4qEPxQmCAIkdgME3///ffE iRPfNrN582Zl1qVLl0JDQyF99OjRf/75p4t9gx76Whw5cgTbP2/ePG3u9u3b MRd+cGUbCadBYYIgRMKzXZOcnAyBAMMBLB8w8fbt2zNnznxMHKxNLT777DNs 6rlz55TpsD765JNPIP2dd965du2ai5tJOAcKEwQhEs5d/S1btqCbnTRp0pUr VyAlOjoaU5YsWeJ6x2ADm1r8+uuv2No1a9Yo0w8dOoTpK1eudHEbCadBYYIg RML/8nfhwoXoUb/++uuDBw+OGjUKfp4+ffrNmzdd7RZsYlOL69evv/fee9Dg 8ePHKxv8zTffoFKnT592fTMJ50BhgiBEwh8mrl279vHHH7+tIDQ09MKFC672 CTzwaLFq1SpsdmxsLKZA4zHYzZkzx/VtJJwGhQmCEImho6QgOW7cOHS24GCT kpJc6g344dHizJkz2PLw8HBMWbduHab8/vvvrm8j4TQoTBCESAyFidu3b3/+ +efoWt97773Lly+71Bvww6nF3LlzsfEpKSkZGRkTJkyAnz/66CPQS0AjCWdB YYIgRGIoTMTExCg3nWbPnv2YOFhOLWDVgC1ftmxZXFwc/rxlyxbXN5BwJhQm CEIk/GEiMTER/eo0M/jzunXrXO0TeODUAoLahx9+CM0eN24cnoOFH65evSqg hYQToTBBECLhdLDnzp17//33ca8Jfj5//jweHHpMNvb5g92mTZuUC6IVK1a4 um2E06EwQRAi4XGwN2/eZNfT9u7di4kJCQnsJYXqzpp4+MPE5cuXx4wZw8IE /4Yb8fhAYYIgRMLjYJcsWWLxDhr8k21DFe7tCUNvWJg6s2bNcmmrCBdBYYIg RGLTwe7fv5/FgoyMDGWWcpVRuC8pDIWJ//znP9jmffv2ubRVhIugMEEQIjHk YB9b+LWA0DZ+/HiIEWFhYY/JMS3CKBQmCEIkT1uYYB932rRpk6tbRbgIChME IZKnKkyw78GOHTs2PT1dQMMIV0BhgiBE8lSFiT/++INdrxPQKsJFUJggCJE8 VWEiJiZmqpm//vpLQKsIF0FhgiBE8lSFCUIOKEwQhEjkcLByaEFwQmGCIEQi h4OVQwuCEwoTBCESORysHFoQnFCYIAiRyOFg5dCC4ITCBEGIRA4HK4cWBCcU JghCJHI4WDm0IDihMEEQIvkvQTyZFLbpEMTTQmHbOkHYSWGbDkE8LchhcXJo QXBCw00QIpHD4uTQguCEhpsgRCKHxcmhBcEJDTdBiEQOi5NDC4ITGm6CEIkc FieHFgQnNNwEIRI5LE4OLQhOaLgJQiRyWJwcWhCc0HAThEjksDg5tCA4oeEm CJHIYXFyaEFwQsNNECKRw+Lk0ILghIabIEQih8XJoQXBCQ03QYhEDouTQwuC ExpughCJHBYnhxYEJzTcBCESOSxODi0ITmi4CUIkclicHFoQnNBwE4RI7LC4 goKCzMxMF7WHcf/+/ZycHE5hO7TIysoy3iih3Llz5+bNm5zC9+7dy83NdUUz xAy3IShMEIRI+C0O3EVkZGSrVq1Kly5tMpkqVqzYvn37n376SSt55syZYF0W L15ssYqUlJSZM2f269cvICDAzc0NamnSpIlztYiNje3bt2+NGjWgcB8fn5CQ kAULFvA8yJg2bZqOah07dtR3qpcvX+7WrRtIzpo1S5UFPbxz586xY8c2atTo mWeeMZkpWbJku3btNmzYkJ+fry3t3LlzAwcOxO7y9PSsU6fOe++9d+vWLR5F dFryyMhwi4fCBEGIhNPirl+/3rZtW5Ml3nzzTZXw4cOHLUoyxo0bp60iKiqq ePHiKklfX18nagFVgC/VtmfEiBEPHz7kqQjo3r27vnbQV9aezc7Obty4MYoN GDBAlXv06FGdYseMGaOSX7FiBQQRrWSlSpV+//13fS30W2JouMVDYYIgRMJp cb1790YvAU4SppRHjhxZtWqVn58fJn7//fdKYRYmXn755bctsW7dOqU8TFzB B+IjpUqVgun0kiVLtm7dumjRopEjRzpLi4MHD2IVMDGeM2dOfHz88uXLmzVr hokzZszgqejRP2HC29vbomrA3bt3LT4Iy4EePXowf2stTBQpUuS1116bPXv2 tm3btm/fHhYWVqJECXwkJiaGCR84cMDDwwMSy5YtCwuiQ4cOgUYQ73AVFhQU pLMHZbMlhoZbPBQmCEIkPBa3ZcsW9A+DBg1Spt+4caN8+fI4fVVudLAwoQoH 1ti4cSPKt2rV6uzZsy7SYtSoUVBF0aJFExISWGJGRkZAQACk+/v7Q7TiqQvD RGBgoNFGhoaGwoPo2y065/Pnz48ePfrUqVOq9M2bN+MjEEBZ4osvvggpsDhK SUlRCk+bNg2F/+///s++lhgdbvFQmCAIkfBY3IQJE9BvXLhwQZUF037MWrZs GUs0FCbAOTds2BCdDzhtO1R4xKEFzPBxjx1m0aqsiIgIbG1sbCxPXfaFCVYL 9Fj16tUthglrPHjwAJ999dVXMQW8NK4ahg4dqhLOycmBkAdZzz77rH0tMTrc 4qEwQRAi4bG4Dh064OaGNuvixYvoN5T+ylCY+PHHHx3fyrCpRWJiItYyb948 VRbMxjEL5uE8ddkRJrZv316kSBF4atKkSfBPo2GCNX7q1KmYAhENU+bPn6+V HzZsmDU/z9MSo8MtHgoTBCESHovDt5mlSpXSbsvk5+fjS+GOHTuyRBYmIiMj wbH8/fffeXl51gofOXKkybwhn5WVBW7tl19+gSnrihUr4uLi+F8r29SC7dvs 3LlTm1u0aFGTpXfEFsEwUbNmzfT09HPnzqWlpem3Mzk52dvbGx7p3bs3diB/ mLhx40ZMTAyuDipWrAj/xPRdu3ahOnPmzNE+FR4ejrn79++3oyVGh1s8FCYI QiQ8Fvf++++j2zl+/Lg2t2rVqpDVtGlTlqI96eTm5lapUqV333335MmTqsfB 4aAA/qAEXHF0dLRTtFi6dCmWeeDAAW2uj48PZPXq1YunLu1JJ/CczZs3X716 tfatMQQR1j/37t3DRJ4wMXv27IYNG+LOEhAcHHzs2DGWe+vWLUzv06eP9tl/ //vfmLtjxw47WmJ0uMVDYYIgRMJjceAA0W/Uq1dP9e7y0KFD+FqzTZs2LFHn QKyXl5fyDTJQu3ZtlgtrCj8/v7p16+J7BMDd3X3r1q2Oa8Em2KoXvgh6y5Yt W9qs6JHugdgePXoobzdkZ2c3atQI0kGpK1euqKrTDxP9+/dnxVarVm3RokWq GIRv3gEICsp0WJRBOMYs9rbFUEuMDrd4KEwQhEh4LC4vLw9ms+g6ypQpM2TI kLCwsLfeeqtBgwbMlb3xxhtM/urVqzNnzgT3fvDgQSg8MTFx5cqVLVq0QMly 5crBzJYJ410J8ITLli1jR0lzcnK+/vprlC9ZsqTOTQROLaZMmYKlaZczAO7q cIaJdevWrVixIj4+HibbMMPfuXNnaGgoi2uTJ09GMYgXGFCgx1TTcp4wsXHj xk8++WTUqFEQNLFk+OH27dtMAOplR5VgLQNLgPHjx7/66qu4rYT89ddfdrTE 6HCLh8IEQYiE0+LAQbVu3Vo7f8YtCOCjjz6yWcjgwYNRGOarmAIeCd+oQpZW ftKkSSiv3DyxT4uFCxdiUcnJydrcChUqQFbXrl1tqmANKLZUqVJQCEzyMQUW TVhjTEzMrf/F19fXZN7jwn9avF6t5Ntvv8WiVC+OIfhipUqgP/H1gZub2/37 9+1riVOG23VQmCAIkRiyuF27dk2cOPH111/v06cPzDCjo6OTkpLQb0RGRtp8 HCa3KAzzXpaIM/kOHTpo5fft24fy4eHhDmoBTcWioExtLq5ohg0bZlMFHWCC jVXgRs3evXu1btYiql04i+CWkfZO+s2bN+fNmzdy5MgePXqMGDECFnFnzpwB tw/ClStXRhm7W+LgcLsOChMEIRIHLW7BggXoNw4ePGhTGCa3KKzc5cD9jZo1 a2rlT506hfKhoaH6JdvUYs+ePViU9thteno6ZrH9IvsAR4rl4L4Wv3MGSZuF s1cVyn0ni+Tm5laqVMmkWBw5sSWGhtt1UJggCJE4YnEwbYYpKziNV155hUc+ OTkZnYzyhgJ+psPDw0P7AoId+1y6dKl+yTa1gFjg7u5uMn++SZW1bt06rCUq KopHC2v07NnTZL7lje+aHz58eMUKVapUAUmQx3/ynPtt1aqVyXxI1eYO1Zdf fqny+c5qidHhdh0UJghCJHZb3N27d/v06YMeKT4+Xpm1ceNG3BVXgZshgPLw EvyMiW+99ZZKvm/fvphl8YWCUS06depkMt8+uHr1KkssKCgICQkxmb/RlJ2d zdIvX7481MzEiROVhRw7duzo0aPawpOSkvCFcuPGjfWb8cj6K+xt27adPn1a Kw/dizGudevW+iXHxcXhBlr79u1tNkOnJVp0hls8FCYIQiScFgdeYvXq1eBg YcJ58uTJtWvX1qpVC51Gv379VMLgcsEbf/7553v27Ll58+aDBw/Ai3bt2hXl mzdvrpoSd+nSBbMmT56Mh52ysrLAP2MiBAunaBETE4MFtm3bFlw9BAiIBePH j8dE1TcGIRxgOtvhR+bNmweJnTt3jo6OTk1NzcvLgz5ZvHhxuXLlUH779u02 W2vNOb/22mtFihSB/vzxxx+hk6Gr//7777lz57KPiv/www9KeVhtHTx4MCcn B+b5CQkJ77zzDt6zgP7/448/bDZDpyWGhls8FCYIQiScFse+0qAEprjTp0/X 3tVVnsk0mY/csJ/Lly9/4sQJlTxModmBUvCTvr6+OHkGnnvuOZ4/zcN5rJe9 ZTaZz9myn4OCgkBBpbB+mLComon7HrdOmNApfPTo0Sp59lEOJXXq1MFzsI60 xNBwi4fCBEGIxL4wAYuFTp06/frrrxaFv/zyS/yanxIPD48333yTfW5CxaVL l1599VWV/IQJE6x9lNs+LcDFhYWFKaOYp6cnLA20nxyEWIYCqsNFycnJ/fv3 Z0GN4efnt2nTJp6mAvhHkVTfX31k/lJTnz592GfDGTCTt1i4MkyAIg0aNIDF kXLrzO6WGBpu8VCYIAiRcFpcfn7+oUOHwFnt2LFDeTlOh+vXrx8+fHjLli0b Nmw4fvz4gwcPbD6Cmyfr169PSkri/wunjwz6DQgWqamp0dHRiYmJFt+h2CQ3 N/fUqVNxcXFr167dvXu38l6z48Cq5/z583v27MHCdXr72rVrv/zyS0xMDAyN oe6yiR3DLRIKEwQhEjksTg4tCE5ouAlCJHJYnBxaEJzQcBOESOSwODm0IDih 4SYIkchhcXJoQXBCw00QIpHD4uTQguCEhpsgRCKHxcmhBcEJDTdBiEQOi5ND C4ITGm6CEIkcFieHFgQnNNwEIRI5LE4OLQhOaLgJQiRyWJwcWhCc0HAThEjk sDg5tCA4oeEmCJHIYXFyaEFwQsNNECL5L0E8mRS26RDE00Jh2zpB2Elhmw5B PC3IYXFyaEFwQsNNECKRw+Lk0ILghIabIEQih8XJoQXBCQ03QYhEDouTQwuC ExpughCJHBYnhxYEJzTcBCESOSxODi0ITmi4CUIkclicHFoQnNBwE4RI5LA4 ObQgOKHhJgiRyGFxcmhBcELDTRAikcPi5NCC4ISGmyBEIofFyaEFwQkNN0GI RA6Lk0MLghMaboIQiRwWJ4cWBCc03AQhEjksTg4tCE5ouAlCJHJYnBxaEJzQ cBOESOywuPz8/LS0tPv37ztd2G7s0CIrK8tFjXncKtXy8OHDGzduFBQUFHZD 7ITCBEGIhN/icnNzIyIi6tSpU7RoUZPJ5Obm5uvrO3z48PPnzzsi/Pbbbwfb 4tdff3WWFrGxsX379q1Rowa0ysfHJyQkZMGCBTwPOtJa/kqnTZumU3LHjh0z MzPta8nNmzf//e9/d+nSxd/f38PDA1ri6ekJTZo0adKFCxf4e+BxgMIEQYiE 0+LAOzVs2ND0D+hnEAgEO3futFv4hRdeMNli+fLlTtEiKioKfKO2/BEjRsAE 2+bj9rXWUKXdu3fXL/z69ev2taRXr17WxMqVK3fixAke9R8TKEwQhEg4La5P nz7oUsaNGxcfH5+Xl3fkyJHw8PASJUqYzDNk5r6MCn/++edvWwFm4BYdr31a HDx4EEurWLHinDlzoGFQbLNmzTBxxowZNjvBjtYarRTDhLe3t7Va7t69a19L MEzA8uGDDz747rvvIFjD/1u0aIGSsO7jUf8xgcIEQYiEx+LANeGKoF+/fqqs yMhI9DMbN260Q1ifSZMmofyhQ4cc12LUqFEm83ImISGBJWZkZAQEBEC6v7+/ g3v1FltrtFIME4GBgU5vyZdffrlq1SoI2UrJ3NxcFrOuXr3qSKUioTBBECIx NA//+OOPVVmHDx/GrFmzZtkhrMOFCxe8vLxAuHfv3o5rAcGrdOnSUFqPHj1U WREREdiq2NhYmxUZaq0dlToeJgz1GwDDhC1JSkqyu1LBUJggCJHwWFx2djZ6 nqCgoHv37imzVq9ejU7mwIEDdgjrMGTIEJAsUqTIX3/95bgWiYmJWPW8efNU WSkpKZg1bdo0mxUZaq0dlToeJgz1G9CpUyeQL1asmKtPozkRChMEIRJOi+vS pQu6tXr16h09ehQTIQq0bt0aEqtWrarcPDEkbJHk5GR3d3eT+T2vU7TYvHkz Nkn1Ah3B41hjxozhqYu/tXZUimGiZs2a6enp586dS0tL43y3rt8SLfn5+bC4 e++997CF4eHh/LUUOhQmCEIknBZ36dKlpk2bmv4hODg4Kiqqffv28LOfn9+R I0fsFrZISEgICMOqBIpyihZLly7VWcj4+PhAVq9evXjq4m+tHZVqTzp5eno2 b94cFmK5ubl2t0TJ5cuXO3TogLWjMMSIJ+sOBYUJghAJv8VlZmZWqVJF5cRK lChh8dS9IWEVv/32G8p/8MEHztICPCGWmZKSos2tXr06ZLVs2ZKzOs7W2lGp zoHYHj16wBLAvpYogY5SFtuvXz+ewP1YQWGCIETCaXFpaWl4eLJ27drz589v 06YN8zNBQUGqk0iGhFXAtPbFF18EyTJlyty8edNZWkyZMgUbcPLkSW2uv7+/ fWFCv7V2VLpu3boVK1bEx8cfP3782LFjO3fuDA0NxffgwOTJk+1riZKMjIyp U6dOmDChd+/eeES5SJEikZGRRvQuZChMEIRIeCwOlga+vr7gT+rXr3/t2jX2 4KBBg9zc3EzmC3R79uyxQ1gLe839xRdfOFGLhQsXYrHJycna3AoVKkBW165d +Wvkaa2zKoXHS5UqBcIBAQH2tcQaN27cqFOnjsl8ZNdiLHs8oTBBECLhsbh5 8+ahC4qKilJlse33Dh062CGsIicnx8/PDwQqV67M7pE5RYvo6Giset++fdrc 4sWLQ9awYcP4a+RprRMrfeONN7CoW7du2dESHbZs2YIlw+gYerAQoTBBECLh sbgBAwagJ9HewMrLy8MtEXBQdgirmDt3Lj4bERHhXC1g/YIlf//996qs9PR0 m1s69rXWiZWGhYXp7F/Z3W+PFK8qxo8fb/TZwoLCBEGIhMfiBg4ciJ5E+ZEN RmBgoMl8hMkOYSUZGRnPPPMM5NaqVYvnVI8hLcAtWzspum7dOmvLHx14WuvE Snv27IlbQ9q6HOm3R4oX37Nnzzb6bGFBYYIgRMJjcV999RV6EvhBlXX58uVi xYqZFAc7DQkrYZ+Y+M9//uMKLfAeWcWKFZXLnIKCAjxE6u3tnZ2drWzqUDMT J060WBpnaw1VeuzYMXbNRElSUhJ+/6Rx48b2teTGjRsQmFRf6sCWdOzYER+3 eLnj8YTCBEGIhMfiTp8+ja9Qvby8lPsn58+fb9Wqlcn8nfDt27fbIcxgn5ho 2LChHWf4ebSIiYlBf9i2bVvwxlALxILx48dj4siRI5XC4LEx3eL+GH9rDVWK r3U6d+4cHR2dmpoKXh2Cy+LFi8uVK4fydvfbkSNHcBE3d+7cffv23bp16969 ewkJCcHBwVhyo0aN7FiJFBYUJghCJJwWxw7SmMznbbp37w4+H5cGwJQpU+wW RgYPHoy5O3bscJEW4HXZi2CgZMmS7OegoKCLFy8qhfXDBH9rDVXK3v4jeDCM YfGSOGdLMExY45lnnoGopK/IYwWFCYIQCb/FweSTfU2UERgYuG3bNgeFT548 iXv4L730kku1gPl2WFiYt7c3a5KnpyfM3jMyMlSSJ06cQAFfX18HW8tfaXJy cv/+/dktCQasAjZt2qQtmb8lmZmZ4eHhyj8CgsDjsKKx+BbpcYbCBEGIxKjF Xbp0adeuXd999x1MX8+cOaN/L9iQsCMY0gL8Nkyeo6OjExMThX3vjr/S3Nzc U6dOxcXFrV27dvfu3VeuXHFiM27fvg3BaMuWLT/88MPRo0efoM/9KaEwQRAi kcPi5NCC4ISGmyBEIofFyaEFwQkNN0GIRA6Lk0MLghMaboIQiRwWJ4cWBCc0 3AQhEjksTg4tCE5ouAlCJHJYnBxaEJzQcBOESOSwODm0IDih4SYIkchhcXJo QXBCw00QIpHD4uTQguCEhpsgRCKHxcmhBcEJDTdBiEQOi5NDC4ITGm6CEIkc FieHFgQnNNwEIZL/EsSTSWGbDkE8LRS2rROEnRS26RDE04IcFieHFgQnNNwE IRI5LE4OLQhOaLgJQiRyWJwcWhCc0HAThEjksDg5tCA4oeEmCJHIYXFyaEFw QsNNECKRw+Lk0ILghIabIEQih8XJoQXBCQ03QYhEDouTQwuCExpughCJHBYn hxYEJzTcBCESOSxODi0ITmi4CUIkclicHFoQnNBwE4RI5LA4ObQgOKHhJgiR yGFxcmhBcELDTRAikcPi5NCC4ISGmyBEIofFyaEFwQkNN0GIxBGLKygouHv3 rnPbc+fOnStXrhh9yg4tsrKyjNai5eHDh/fu3eMUzs/PT0tLu3//visKt6/f nlAoTBCESIxaHPiuNWvWvP/++23atPH29jaZTF5eXjExMfpPXb58uVu3bsHB wbNmzbIokJKS0rdv34oVK5rMlChRonHjxqtXrwbX6lwtYmNjoaIaNWpALT4+ PiEhIQsWLOB5UAl47w8//LBly5bQTnd397p16w4dOvTkyZMWhXNzcyMiIurU qVO0aFGo1M3NzdfXd/jw4efPn3e8cEf6zdqgJCQkBNti8ODBNst3HRQmCEIk hizu6tWr7dq1M2lYunSpzlPZ2dngu1BywIABWoElS5YUKVIEBcCLsp8BcOMQ mJylRVRUlKenp7b9I0aM4KkFuXHjBvhwbSEVKlQ4ePCgSjgzM7Nhw4ZMxsPD g/0MUWPnzp2OFO5Iv+kMSnR0tLYBKqpVq8bZXa6AwgRBiITf4g4dOvTss8+i lwBXNn369B9++GH9+vXjx4//+eefrT0F09oePXow96INE1As+rfnn39++fLl MMW9c+cOeKr27dvjI1OnTnWKFuBmsUCYe8+ZMyc+Ph6qa9asGSbOmDGDpxMA mIHjI3369IFl1G+//TZ58mT0/2XLlgX3qxQGGRQeN24c1JiXl3fkyJHw8HCY 9pvMy5nr16/bV7gj/aY/KElJSW9bp3LlyhQmCOKpgtPiCgoKGjRoAP6hWLFi ixYtgn9ylh8aGqqcRWvDxNixYzErNTVVmX7//n1/f39Ir1+/vlO0GDVqFM7h ExISWGJGRkZAQACkQ108Sv3999/onLt3767c2FmwYAFqsXLlSpZ49+5dVLxf v36qciIjI1F+48aN9hXuSL/ZHBRrwHKyVKlS2ELOR1wBhQmCEAmnxYE3Q5fy xRdf8BceERGBTy1ZsqR69eoWPVLHjh0hHdyj9nUtTq2LFy/uuBbgsUuXLg2l wSzaWiNjY2NtVgQLART+888/lekQYvAFQZs2bVgiW798/PHHqnIOHz6MWcr3 AoYKt7vfeAbFGhib3N3dYU3E+YgroDBBECLhsThwU7jBHhgYmJeXx1ny9u3b cW48adIk+Kc1j/Tpp59qp8oIzvO7dOniuBaJiYlYy7x581RZKSkpmDVt2jSb FXXq1Akky5Qpo31HDEsG9NssKzs728vLCxKDgoJUznz16tVY6YEDB+wr3L5+ 4xwUi0AP4wJk4MCBPPKug8IEQYiEx+LS0tLQI4WFhd2/fx8myWvXroW56Nat Wy9evGjxkeTkZDwH1bt3b9zMseaRwE9i4eC+YDqdk5OD6Vu2bMH0ZcuWOa7F 5s2bsTTtW2MAzyCNGTPGZkUvvvgiSLZu3VqbBessrOLq1assEXw1JtarV+/o 0aOYCCEDSoDEqlWrKne6DBVuR7/xD4pFevXqBcKenp5nz57lkXcdFCYIQiQ8 Frd//370PE2bNq1QoYJJAUwvBw0adOPGDaU8hBVwgCjPZtE6HmnRokXsAFLF ihUhGC1evBhd9+jRo3Nzcx3XYunSpdrZO8PHxweywA3arMjX19faRJ29QWDh ALh06RJ0Auuu4ODgqKgofMvs5+en2roxWrihfjM6KCrY78A777xjU9jVUJgg CJHwWBysHZShoUyZMnXr1q1ZsyZLadOmDZvNZmdnN2rUCN2g8sKXvkeaN2+e SQP4Omdpwbb9U1JStLnYtpYtW+rXAjNwa6+kgRUrVmAVv/76qzI9MzOzSpUq KtVKlChx4cIFxwvn7Df7BkVJq1atQLJkyZKPwyU+ChMEIRIei5s5cyb6nyFD hiQnJ7N0cLnofEzm/ahH5pOW3bt3x1By/PhxZSE6HikyMhLnwJMmTRo3bly5 cuWwTHd3948++ujBgweOazFlyhQs0+I9NTwaZDNM5OXlubm5WdMClglaTw5z +BYtWkBi7dq158+fD/GUOfOgoKBDhw45Ujhnv9k3KEp+/PFHLPnTTz/VlxQD hQmCEAmPxX322WfoJc6cOaPKAjdYtmxZk3kr45H5Ai9KxsTE3PpfcEelV69e +E/2Knbu3Ln4yJIlSzAFFiYrV66sVq0apnfs2NFxLRYuXIilKcMcA3fSunbt arMidMU9e/bUZrETROweHKwjUOv69etfu3aNNXXQoEEYEWD5sGfPHvsK5+83 OwZFCcSvwMBAEIPm3blzx2YXCYDCBEGIhMfi2FRWeeOAERwcbDJ/sgP8yd69 e7V7IBbBouCRZ555xmS+tqAqNiMjo06dOjr1GtKC3Szet2+fNrd48eKQNWzY MP1agBdeeMFkfsWgzZo1axZWwV7rsx0h6ECVMHtX0qFDBzsKN9RvRgdFBbvi oT0kVlhQmCAIkfBYHLhWdBSrVq3S5g4YMABz7969y++RQBKePXnyJP7T4ikj 5hvBUzmoBUzasajvv/9elZWeno5ZkydP1q8FwG+V1KpVS5uF1/cAttvDekZ5 9gkBP4/3OCpXrmxH4Yb6zeigKMnOzmbXrtnrp0KHwgRBiITH4sDLoRsZP368 Nrdt27amf77e8PDhwytWwNe4PXv2xH/iF4dOnTqFJY8bN05b8rp16zD3m2++ cVALiAXu7u4m8+ebrNWinfNrAbeMwpcuXVJl4c6Mcno/cOBAFFZ9kUMp7+fn Z0fhhvrN6KAo+fzzz7Go5cuX2+wcYVCYIAiRcFocfiauWLFiKuGjR4/idS3t 7WYVFt+WFhQUlClTBqOMdt/73XffRR+lfNVrtxZ4ea1ixYrKuT00ICQkBNK9 vb2VX0y6fPnyUDMTJ05UFsKu6anu4rEFF/hVlvjVV19hIvygagyUD51p+t9T uPyFO6vf9F9hQ+DAT3MEBQXxfxpRABQmCEIknBYHHgzfusK09vfff8fEvXv3 4oXfokWLKs/zW8SaRxo9ejT6tODg4LS0NEzMz89ftmwZzv8bNmzoFC1iYmKw Ilj+QGvB04KvhvURJo4cOVIpfOzYMUxXbgohuPMPbYMJ9u3bt3Nzc6EfcGcG EpX3DU+fPo1u1svLS7nZdf78eTxfCl26fft2+wp3Sr/phwm2ulF+eOpxgMIE QYiE3+LYt+ZM5k+b4tY6+jqbm0KPrHuke/fu1a9fH4sqUaJEmzZtunXrhn8P AqhUqZK1v8tgVIu8vLw33niDqVCyZEn2M8yWVdfJdcIE+G083GUy34DG19/Y D7Nnz1YJs49yABBSu3fvDgEC1xHAlClT7C7cKf2mEyb++8+nOZo1a2azHMFQ mCAIkRiyuO+++44dzmcOVvve0yLowQYNGqTNys7Onjp1Kn5bmwE+aty4car7 3Q5qASuIsLAw/GAF4unp2blz54yMDJXkiRMnUMDX11dbzvHjx+vVq4fLK+aW 16xZY7HShIQE9rlyBizKtm3bZlGev3DH+01nUCARC9y1axdPUSKhMEEQIjFq cfn5+SdPnty0adNPP/3E9jqcwt27d5OTkzds2AAz8AMHDhg6om9ICwgWqamp 0dHRiYmJ/H9yVMvt27djY2OhK6x92ErJpUuXwN9CnN2xY8eZM2ds/nU5/sId 6bcnFAoTBCESOSxODi0ITmi4CUIkclicHFoQnNBwE4RI5LA4ObQgOKHhJgiR yGFxcmhBcELDTRAikcPi5NCC4ISGmyBEIofFyaEFwQkNN0GIRA6Lk0MLghMa boIQiRwWJ4cWBCc03AQhEjksTg4tCE5ouAlCJHJYnBxaEJzQcBOESOSwODm0 IDih4SYIkchhcXJoQXBCw00QIvkvQTyZFLbpEMTTQmHbOkHYSWGbDkE8Lchh cXJoQXBCw00QIpHD4uTQguCEhpsgRCKHxcmhBcEJDTdBiEQOi5NDC4ITGm6C EIkcFieHFgQnNNwEIRI5LE4OLQhOaLgJQiRyWJwcWhCc0HAThEjksDg5tCA4 oeEmCJHIYXFyaEFwQsNNECKRw+Lk0ILghIabIEQih8XJoQXBCQ03QYhEDouT QwuCExpughCJHBYnhxYEJzTcBCESOSxODi0ITmi4CUIkclicHFoQnNBwE4RI 5LA4O7TIyspyUWMKpdKMjIzc3FxXlFxQUJCZmemKku1Gjl9agnhS4LG4hISE YFsMHjzY4rPgZCC3adOmBw4ccEHz/x/8fiM2NrZv3741atQwmUw+Pj4hISEL FiwwVNe0adN0+qFjx45ap+pIpfPnz8eSL1++rEyHoLBhw4YhQ4bUrVu3VKlS UHKRIkX8/f3ffPPNs2fP8pQMBXbr1g1KnjVrljYXBi4yMrJVq1alS5eGwitW rNi+ffuffvqJs9kuhcIEQYiEx+Kio6NNtqhWrZr+sz///LMLmv//4PQbUVFR np6e2saPGDHi4cOHnHV1795dvyuuX7/urErXrl3r5uaG8idPnlRmbdy40VoD ihYtunXrVv2Ss7OzGzdujPIDBgxQ5YIKbdu2tVg4hCHOjnIdFCYIQiQ8FpeU lPS2dSpXrqwNE+vXr585cyZ4VJjiPiZh4uDBg9gSmBjPmTMnPj5++fLlzZo1 w8QZM2Zw1oVhwtvb21qH3L171ymVwiKuWLFizD9bDBNeXl6woIC1yZYtW6ZM mVK/fn0UhjWLavWhJD8/v0ePHqxkbZjo3bs3ZoGysII4cuTIqlWr/Pz8MPH7 77/n7CsXQWGCIETioMVdvXoVdzzAnyjTq1evrpqFFnqYGDVqFM60wf2yxIyM jICAAEj39/cvKCjgqQvDRGBgII+w3ZWePn26fPnyyg5UhYn9+/eHhYWlp6er HhwzZgzKg2O31qrQ0FAQ8PDwsBgmIOJg+qBBg5TpN27cwCZVqlTp1q1bPOq7 CAoTBCESBy1u7Nix4Dfc3d1hwqlMnzt37sdm+vfv/ziECZjh4x47zKJVWRER EdjC2NhYnrr4w4TdlUIcqV27NuQGBQV99dVXFsOENZKTk1F+woQJFgVY1UuW LMForgoT8CAKXLhwQfUsPIJZy5Yt42mMi6AwQRAiccTi4EGckQ4cONCaTFxc 3OMQJhITE7EZ8+bNU2WlpKRg1rRp03jq4g8T9lX64MGDl156yWTepzp79uyK FSsMhYkTJ06g/IcffqjN3b59O24DTpo06dE/iz5VmOjQoQMkli1bVvv4xYsX sfChQ4fyNMZFUJggCJE4YnG9evUCj+Hp6alztOYxCRObN2/GZuzcuVObW7Ro UcgaM2YMT10YJmrWrJmenn7u3Lm0tDRrb6Ltq3TIkCGQXrx4cYgy8E+jYWLp 0qXWJvyw0PD29oas3r1742aXxTCBL69LlSql3RDLz8/H1/EdO3bkaYyLoDBB ECKx2+L279+P7uidd97REXtMwgRznhbP5fr4+EAWRD2eurQnncBzNm/efPXq 1aqbC3ZUOn36dEh0c3OLiYnBFENhIicn5/nnnzeZX21fu3ZNmQXhrGrVqpDV tGnTe/fuYaLFMPH+++9jjcePH9dWwQqx2RjXQWGCIERit8W1atUK3EXJkiWv XLmiI/aYhInw8HBsRkpKijYXvWXLli156tI5ENujRw+Yb9td6Zo1a1B+5syZ LNFQmBgxYgQKh4aGKtOzs7MbNWoE6X5+fsrxshgmIN5hIfXq1VO9qj506BC+ xW7Tpo3NxrgOChMEIRL7LO7HH39ET/Lpp5/qSz4mYWLKlCk6ztbf358/TKxb tw5cd3x8PEy2jx07tnPnTvDJ+KoamDx5sn2V7t27F4+/gqtXivGHCQguKNmw YcP79++zdIhcGNrKlCmjWiBYDBN5eXnBwcFYFDwyZMiQsLCwt956q0GDBiwg vvHGGzx95SIoTBCESOywOHAjgYGB4CvKlSt3584dfeHHJEwsXLgQm5GcnKzN rVChAmR17drV7gZAsXgwOCAgwL5K8cVxkyZNrl27dkvBggULsJADBw7AP5WX MpTMnz8fxWrWrJmWlqbMSkhIwKyYmJhb/4uvr6/JvPGF/2RLodu3b7du3Vq7 XMIdJ+Cjjz6yu68ch8IEQYjEDouLjIxEX6E9wKPlMQkT7DL4vn37tLnFixeH rGHDhjnSBphgYxVso8ZQpa+88orWLWuBaKItatasWZgLK5Rz586pcmGdwlMy oLzcAezatWvixImvv/56nz59YEEB6iQlJaEk/A440lcOQmGCIERi1OKys7PZ teucnByb8o9JmNizZw82Q3uDOD09HbOU+0V2AI4Uy2G7Q4Yq5QwTIKYsp6Cg gF1zqFevnsWb1/xhAiT1dWRLm4MHD9rZTc6AwgRBiMSoxX3++efoKJYvX84j /5iECXDL7u7uJs3O/yPzuwZsYVRUlCNt6Nmzp8l84ZqddzJU6Z07d65YApZs KAlTffincpcPwjS7vdiqVStrN6MfPnxosWSgSpUq8Cy0HP+p/40pKB9nCKpQ JR4KEwQhEkMWB54Ed+CDgoI4v5X3mIQJoFOnTibznbWrV6+yRJiNh4SEmMzf aIKFEkuHaflQMxMnTlQWcuzYsaNHj2oLT0pKwpuGjRs3trtSi1h7hX39+nU8 bAb07dtX+c6aH4uvsC1y9+7dPn36YHXx8fF21OVEKEwQhEgMWRz7XtDGjRv1 JcH73TazdetWfCQmJgZTbDpGO+DRAhqALWnbti24evDVEAvGjx+PiSNHjlQK QzjAdJg/K9Nxbt+5c+fo6OjU1NS8vDzw/4sXLy5XrhzKb9++3e5KLWItTHTp 0gXTGzZsuGPHjp8soYxNFrEWJiAorF69Gh6HyQDUu3bt2lq1amF1/fr1s9lm V0NhgiBEwm9x//3n0xzNmjWzKcy+JqoFViIOt9pC22xqAS6dvWU2mW98KJt0 8eJFpbB+mGCwr3wj2ivVhiq1iLUwgR/00Gf9+vX6hVsLE+yjHErc3d2nT5/O +YFEl0JhgiBEwm9xgwYNQnexa9cum8L4J3gs8sILLzjcajWcWoCLCwsLww9W IJ6enrA0yMjIUEmyLyP5+voq05OTk/v3789uSTAgLG7atMnBSi2ycuVKfOr0 6dPK9Hbt2tkME+wqtzVwmFRfgn2kCRMVK1bs1KnTr7/+ytNgAVCYIAiRyGFx hrQAv52amhodHZ2YmGjfln5ubu6pU6fi4uLWrl27e/du/XvozqpUJPn5+YcO HYLAt2PHDtUtjMcBOX5pCeJJQQ6Lk0MLghMaboIQiRwWJ4cWBCc03AQhEjks Tg4tCE5ouAlCJHJYnBxaEJzQcBOESOSwODm0IDih4SYIkchhcXJoQXBCw00Q IpHD4uTQguCEhpsgRCKHxcmhBcEJDTdBiEQOi5NDC4ITGm6CEIkcFieHFgQn NNwEIRI5LE4OLQhOaLgJQiRyWJwcWhCc0HAThEj+SxBPJoVtOgTxtFDYtk4Q dlLYpkMQTwtyWJwcWhCc0HAThEjksDg5tCA4oeEmCJHIYXFyaEFwQsNNECKR w+Lk0ILghIabIEQih8XJoQXBCQ03QYhEDouTQwuCExpughCJHBYnhxYEJzTc BCESOSxODi0ITmi4CUIkclicHFoQnNBwE4RI5LA4ObQgOKHhJgiRyGFxcmhB cELDTRAikcPi5NCC4ISGmyBEIofFyaEFwQkNN0GIRA6Lk0MLghMaboIQiRwW J4cWBCc03AQhksfN4u7cuXPz5k2jT9mhRVZWltFaBJORkZGbm+sK4fz8/LS0 tPv37ztdWAyP2y8tQciNHRZXUFAQHBzctGnTAwcOWBQ4c+ZMsC6LFy9WlrZz 586xY8c2atTomWeeMZkpWbJku3btNmzYAD7KuVrExsb27du3Ro0aUIuPj09I SMiCBQt4HtRh/vz5qNfly5d1xGz2G/h5UHnIkCF169YtVaoUtLBIkSL+/v5v vvnm2bNnHRFmj0RERNSpU6do0aIg7+bm5uvrO3z48PPnzzsoLBgKEwQhEjss Ljo6Gp35zz//bFHg8OHDJl3GjRvHhI8ePaojOWbMGCdqERUV5enpqa1lxIgR Dx8+5FRfxdq1a8GFYjknT57UkbTZbxs3brTWD+Crt27darcwkJmZ2bBhQybj 4eGhlIdIbbeweChMEIRI+C1u/fr1M2fO7N69O8xa9d0dCxMvv/zy25ZYt24d E8YwAWW+9tprs2fP3rZt2/bt28PCwkqUKIGFxMTEOEWLgwcPYoEVK1acM2dO fHz88uXLmzVrhokzZszg6QQVCQkJxYoVYy7UYpjg7zf0/F5eXrBGgDXOli1b pkyZUr9+fXwK1j7K1YohYaBPnz6YBTEadM/Lyzty5Eh4eDj2M8hfv37dPmHx UJggCJHwW1z16tVVs1abYUIZDqxx/vz50aNHnzp1SpW+efNmLGTs2LFO0WLU qFE4GQbfzhIzMjICAgIg3d/fv6CgwGZFSk6fPl2+fHllh1gME/z9tn//foiP 6enpqnRYUuGDq1atsk/47t27uCLo16+fSj4yMhLlIe7YIVwoUJggCJHwW9zc uXM/NtO/f38nhglrPHjwAAt59dVXbQrb1AJcX+nSpaG0Hj16qLIiIiKwotjY WP7mQXypXbs2PBUUFPTVV1/phAn+frNGcnIyPjhhwgT7hNlKCpqhkmeDNWvW LDuECwUKEwQhEjssLi4uTkCYSExMxEKmTp1qU9imFqy0efPmqbJSUlIwa9q0 aZxtgxD20ksvmcz7V2fPnl2xYoVOmGDY7DdrnDhxAh/88MMP7RPOzs728vLC oHbv3j2l/OrVq1GevVg3JFwoUJggCJG4NExERkZevHjx77//zsvL4y//xo0b MTEx/v7+6IfhnzYfsakF28Ky+PoVD/Nwvi4HhgwZAvLFixeH6AP/dHWYWLp0 KT64bNkyu4W7dOmC6fXq1Tt69CgmQhRo3bo1JFatWlW552ZIWDwUJghCJC4N Eww3N7dKlSq9++67+o509uzZDRs2ZAeHgoODjx075hQtmPO0OA328fGBrF69 evHUNX36dNSIvVt3aZjIycl5/vnnTea31deuXbNb+NKlS02bNmUjAn0bFRXV vn17+NnPz+/IkSN2C4uHwgRBiERMmGCA+1K+QVbBdu+BatWqLVq0iPPKmE0t wsPDsdiUlBRtLr5lbtmypc2K1qxZg+XMnDmTJbo0TIwYMQKfCg0NdVA4MzOz SpUqqhEpUaLEhQsXHBQWzOMZJiBGN27cuMH/AlOjwm4XQTiKK8LE1atXwYtu 3br14MGDUHhiYuLKlStbtGiBT5UrVy4tLc3igxs3bvzkk09GjRpVt25dFIYf bt++7bgWU6ZM0fHkuMFlM0zs3bsXj7+CN1amuy5MQDfiI7DIsnkPWl8Y+hyH oHbt2vPnz2/Tpg1z/kFBQYcOHbJbWDxOCRNJSUnz5s2DX7ahQ4d+8803MHtx 8KZ5dna2dl7UtWtXB9tJPG7cunXrxIkTnDet8vPz//rrL5v7ADrAr+W33377 3nvvjR49+j//+Y/d5TiCK8KENQYPHowPrl692qYw9AwKgxXbFLapxcKFC7G0 5ORkbW6FChV4LLpDhw4g1qRJExj0WwoWLFiAhR84cAD+effuXYuPG+038M8o X7NmTWuBlVMYlga+vr6QW79+ffYbCz02aNAg3OLz8PDYs2ePHcKFgs5wz5kz 5//+Ydu2bRZlbt682bdvX7a3yahRo4ah024qwCHsU/Cvf/3rMQkTf/zxB/TG rl27DD3F05MScOXKFXAOjRo1qlq16hdffKEvDF0B0yT8zSlZsuTLL78MM2Fr wvArGhISUqZMGfztqlWrVlhYmNFrvOBP2GUoBIKFjjyU/+WXX7KBs3kTllNe ZJiAqIoPjh8/nkcexg6EwWXZlLSpBbsBDfarzS1evDhkDRs2TL+WV155RTtd 1ALRxOLjhvpt1qxZKAwrnXPnzjkoDNNmFIiKilJlsbc2rNmGhAsFneH29PSE xVRnM9pTbY/MdtGxY0fUAtaG7dq1g/DXoEEDvCoCHgBWvk5pZHBw8GMSJnAp DWoaespmTz7pbNq0CT/awwA3bk34wYMH0IEo5u7ujp/HMZm3YTdv3qyV37t3 L77xRBn2HQPoTENfkwNXCU/BPBbP1eOvqLWv8Twyf2OnS5cuOGrlypVTfu/C EXmRYQJWT/jggAEDeOTZqwqb+042tYDZLxb1/fffq7LS09Mxa/Lkyfq1cIYJ ELP4OGe/FRQUTJgwASXr1atn8ztRPMLQ4Shz9epVVVZeXh7eKKlcubIdwoWC fpjYsWOHzrOQi9rBKl553PfkyZMvvfTSc889B/M3pzTy8QkTMP+0L0zo9ySs mitVqmRxnQvTcv5zg4XFN998o7JcnTDB5k7wa4Pu6NixY/DbYrJ0XAQcHW5Q gJn8/vvvYKTZ2dns9ejEiRP5G4mXf2fPno3/xBq3bNnC82zPnj1thglOeZFh gt384ryh0KpVKxCGwG3zA4A2tYBYAHMAk+a1ArBu3TpslXbyrOLOnTtXLMF+ hRISEuCfIGbxcZ5+y8nJYcER1Nd3WfzCAwcORDGLH9kIDAw0mY8w2SFcKDgS Jj755BOTeUqm3RsEc9afkGRmZiYmJp4+fZrnPLDRMGGo8Efm+S14qsOHD8MP +pL46RWnhwloMBRr8VOQH3744RtvvGGoOvFAPz/8BzytYS1MgAD8woMAmIYy HWZlOGuaPn26Mn3ZsmUm895samqqMv2DDz6A9DJlykDXcTYSlyG7d+/Gf9aq VQv+CUsVnmcf8zCxceNGi28De/XqhQ8qP0y3bds2MA2tcHx8PDr21q1b22wS jxadOnUymS9iKCfJ8KsSEhIC6d7e3hDxWTr8Agw1wxP6nfUKG9wyRkagb9++ +m9UDQmze+LwgyoLNMX38uw8sCHhQsGRMPHRRx+hdja38pSsXr26du3a7HVG yZIlX3/9de1qSwl/mDBUOPzGwnzmhRdeYPsYRYsWbdy4seoq6/bt24OCgmrU qAETfpSEninzv8BTOq3S6cmkpKRNmzbhqb9vv/12k4YePXq0aNECf87IyHhk XofCBAMqbdKkiep3FYJd+fLlIYvn9qiLwJdx1sLEjz/+iF0NQVmVhZ8Agk5W TmUbNGgAid27d1cJ//333/hht4iICM6GYXiCBsDPy5cvh5+feeYZ1aVXaxRK mAAvetsMOHnstJiYGExROlgAXC54488//3zPnj03b96E2Q78XoG94FPNmzdX dulrr70GXdevXz/oCnCzELihM+fOncs+Kv7DDz/YbBuPFtBaLLBt27ZHjx4F cwOnh1t/wMiRI5XC8KuL6Ty7K/phgr/f2KW2hg0bgoX+ZAnmPQwJQyDG3VRY ICu33WAqiLEGfBQ4FjuECwVHwgT7sm6jRo20XxLTAks21tUQIuvWrVu1alX8 Jzg3nXs9PGHCaOEwoMr7LCVKlChXrhz7p/LlGrsvr8Nzzz2n0zadngwNDa1Z syYeI3/22WdraoDfH/jlwZ//+OMPfAomhFiv0heBc0CnGhAQ4OCfgPntt9+a NWums2+vg36YmDZtmsl8xk+bBbNZVIrt94IHw1iwfv16rTxePnr77bc5G9at WzccWZgbYLi3uenBKJQwgXHNIqoOhDChzFUeKYFf/hMnTiiFIUxYEzbZeq1v SAuYz8BCmJUMczZl+y9evKgUdmKY4O83/ACIPux3z5Dwo//1G2CSMNUBn88+ bztlyhRlSwwJi8eRMAFWjHfJTeZ5+ODBg3UOqzz6Z6MAmDRpEvNjv//+O24a t2nTxtqDPGHCUOEwscEVMQBLYPgVxekWOMbhw4dDovLPuMCE8+9/wKMysAD8 +3+5cuWKTttcsenEZmVsdx0kTeaVjiOff4Fn8b0hxFCejzZo0Q8TeB2JrQ5g AjZjxgxUHKIDasR+i6BjMQWXHtDJs2fPZn86BwKEzd8KJWxLHFFe17JJoYQJ 1akAJbAEVkp++eWXyr9WgEAofPPNN7WDGBsb26dPH/bZcEatWrVgxcqpIKcW YGjwm6CMYvD72blzZ1wXK2FfRuI5Z7Vy5UoUtrh7xt9v7dq1sybJYFe/DQkj CQkJ7MPpjMDAQIvHHQ0JC8aRMPHI/DUYtrZFIAjColX7UgBsH3c+wY2rsmCS jFOauLg4i7XYDBNGC2ef59W+XwOOHz9uraImTZqYHo93E7B2ePHFF03mXRoY BegBnHiDxzDUNkZqaipuZderV4/fXWjRDxPgIli379+/H0cBFHlknnXgIOK+ 0CPz2KEAxItHilU/HoiaOnUq/AwLKM6GsT/HA78PqksTEIagtK+//tras4X7 boKT69evgyIwbYBICr/D+i/aYKoPv2979uxZu3bt7t27bV4TUGFIC/AG8NsV HR2dmJj4WP3tTjFcunRp165d3333HTiBM2fO6B8PMCQsDAfDBPLbb7+hJ2fU rVtXda0GT6fAHMbibjAsBiF34cKFFsu3GSaMFv7qq6+ig7V2RsIaj0+YeGQe O9zShJ7BW7Qw4bHj9wqW/8OGDYMoAyuvNWvWOPibqR8m8AoM5rL7XDDvRe+B NyPYJ9S2b9+OAjis+NIZ+OSTT+Cf4NVN5p06nlbt27ePXbuAMAGrGGUuHtCF daW1x5+IMCESObQgOHFKmEBgAjNy5Ej8Iq7J/DnHP//8k+XijmjJkiUHWwJf n73zzjsWS7YZJowWDr7FZOmPgNjksQoTj8x/RJKFZh8fH5x18wPzz9DQ0GLF ilWtWnXp0qWGPitqDZ7VBL5QSE9Px/dBb7311iPd1QS+rcDLDt7e3vgJzc8+ +4xzNXH27NmyZcuC8PPPP4+bM+XLl2d9lZOTg4eslH9WRgWFCRVyaEFw4sQw gVy5coVdnmrbti1L1+6dahk1apTFMm2GCUOFg1vAbSiclBricQsTt27dYm8G tRtuOmRlZU2bNg1PyMC0HPqE/1l9eN5NsD9VA/WyY3Lwm4OKaN9NsPkGLMnZ iye8w8LzbgLPusNs4bwZDBmwrsG1JIZamNXovPenMKFCDi0ITpweJhA8Gl20 aFH2wUl8hREQEHDIOuAELJZmM0wYLRwnsbDQMKoXhgnVmX+buC5MsD+hi4sp i1/jtMjJkyfxlRyEcuWiz3F4TjrVrVtXm8VeVWhPOm3YsEErj18A4DnphJe4 2ek1KA0ratasGaxoqlWrZrL1OQsKEyrk0ILgxMEwYe3+Gn4iHmAHLT799FOT +ZwD/30oBjoECBbWBIwWjod5atSoYXQW/fLLL5vMn4kw9JSLwgS+iMfv8OPp jjp16lj7DJpFfv755xdffBFKeP31151l9fphgh2i1n5CH/yqSXNvAo+Wvfba ayphcO94qHXRokX67bl37x7WOHfuXJbIro3jx4VgoaE9e6OEwoQKObQgOHEk TISGhsLK/a+//lKlQ+zAM+3Vq1dnibt27ULDHDJkiNFG4t+ugtmytctQRgtn UUz7x2eBC2Z0WlK1alVD2/g6PfnZZ581b968cePGJvP3IZtrALdZtmxZ/Fk5 7T927Bi6OHRH+/btw4m30e6FwVq3bh0sxODxESNGqE6z24F+mIB+w9n78OHD lenXr1/HV0jQIcr0JUuW4ATgzJkzynScGHh7e/McQsCD9L1791Ymsg8+AGPH jtUvgcKECjm0IDixO0z88ssvbD4Gph0fHw8+HHwOlMa+ZPXBBx8oH8ErCQBM j5VbQBBohg4dqvIPStg3fGbOnImR4sSJE+yumR2FwyKiXr16KD948GC2ywFr n6+++qpUqVJNmza1+AFS9FqoGosUUJrOX355pNuTcXFxS5cuxY8Sz5gxY6mG Dh06NGrUCH9mtzNgyfDCCy+YzF+nZ8uHL774AtvG85cZVYAu3377bZUqVYoV KwbR39DHuqEBGQoqV66MwYulqJZ47OuaMCjYh9D/uGooWrSo6gYKDDduGcFy Ce9SwVojIiIC3y69//77PC0cNmwY+/3BYYUhw0DD6NWrl84VUQoTKuTQguDE kdUE+EzlxRmYjrJjTkCLFi1UJ7ezsrLYR1HAzP39/UEGvYrJ/MExa4uF9PR0 9h1R+AG/BQcTYEcKP3r0KLumDYCHVN7Kefnlly1+1wvcC06GTeadiqCgIAg3 eFPJ4pYRZ08a3XTCF8FQrPKTFxCj8RwRjILFj/zbBBz+l19+CYsX6K6pU6dy HnEfOXKkSZeaNWsq5WEg8EAyULp06Tp16uABJ1BnzZo12vJ//vlnNvqBgYHs snzr1q31d4oYEP3ZbwKszqAQXIiZzN9nxguY2ABr33WhMKFCDi0IThx8N3Hu 3LmBAweCH1C6BXDjMCe3eLsHXNmKFStUt+nBV4DfU+0qqPj111+VXh0cS5s2 bVTTVKOFZ2dnf/LJJ+xTNhhfnnvuue+++06nJbBUwS015VNNmjTR+QtTNnsS YhwUYnHDZ/LkyaqvQLMP87KPnTLAH2IUg1WG3X9jHXxvWFgYOFJOP4DvFHRQ 7j0iMKWHhYCy56HBv/32m7UqoG8bNGiA0cRkDvpvvvmmoYta0Leqj1TA7wks 0B6ZwxZ0cpkyZSBgWXucwoQKObQgOHHWSSeYe+/evTsuLk7/a+0M8EV79+7d uXMn/1H/3NzcEydObNu27Y8//rh586YTC4fVyp49ew4cOMB/2+769euxsbHw VFJSks05rSNnxgqLK1eucP5ZZLuBQAYDCr82nF8FuX37dnx8/J9//mn0DxIx YHx///13iEfaLzZDpNb5qhiFCRVyaEFw4qIDsYQS6sknHQoTKuTQguCEwoQA qCefdChMqJBDC4IT/TDx6aefbjGjPeVO8EM9+SRSUFCwbds2HLV//etfNsME p/x/CeLJxOLvc0BAQNV/CA0NddTqnmKoJ59EcnJyqlevzgZu6tSpTpEvbFsn CDtxgZERBGEBOSxODi0ITmi4CUIkclicHFoQnNBwE4RI5LA4ObQgOKHhJgiR yGFxcmhBcELDTRAikcPi5NCC4ISGmyBEIofFyaEFwQkNN0GIRA6Lk0MLghMa boIQiRwWJ4cWBCc03AQhEjksTg4tCE5ouAlCJHJYnBxaEJzQcBOESOSwODm0 IDih4SYIkchhcXJoQXBCw00QIpHD4uTQguCEhpsgRCKHxcmhBcEJDTdBiEQO i5NDC4ITGm6CEIkdFpefn5+Wlnb//n1O+aysLOPtegTl5+TkcArboYV9rZID oyOIFBQU3L1710VNMgSFCYIQCb/F5ebmRkRE1KlTp2jRoiaTyc3NzdfXd/jw 4efPn7coHxsb27dv3xo1aoCwj49PSEjIggUL9KtISUmZOXNmv379AgICoHx4 sEmTJs7Vwo5W2WT+/PnBZi5fvmxTGGS6desGwrNmzdLmTps2Ldg6HTt2zMzM tLslRkcQePjw4Zo1a95///02bdp4e3vDU15eXjExMTbVdCkUJghCJJwWB96p YcOGpn/w8PBgP4PP2blzp0o+KirK09PTpGHEiBHgeSxWAY8UL15cJQ9+zIla 2NEqm6xduxYjGnDy5El94ezs7MaNG6PwgAEDtALdu3fXNk/J9evX7WuJ0REE rl692q5dO20bli5dytExLoTCBEGIhNPi+vTpgy5i3Lhx8fHxeXl5R44cCQ8P L1GihMk8LVe6r4MHD6JwxYoV58yZA/LLly9v1qwZJs6YMUNVeEFBwZgxYzC3 VKlSY8eOXbJkydatWxctWjRy5EhnaWG0VTwkJCQUK1aM+U/9MJGfn9+jRw8m rBMmYN7+thWsbfvYbImhEQQOHTr07LPP4iMtW7acPn36Dz/8sH79+vHjx//8 888G+8nJUJggCJHwWBy4Jpx89uvXT5UVGRmJnmTjxo0scdSoUThHBd/FEjMy MgICAiDd398f4oKyEHgWC2nVqtXZs2ddpIXRVtnk9OnT5cuXV06z9cNEaGio chqvEyYCAwOd2xKjIwhd0aBBA0iE0APB2mjPuBoKEwQhEkPz8I8//liVdfjw YcxiO+3gkUqXLg0pMHNWCUdERKBwbGwsSwQXhJshlSpVAqftIi2Mtsom0NTa tWvDU0FBQV999ZXNMMFqgYVS9erVnRgmeFpiaAQfKQL3F198wd8SYVCYIAiR 8Fhcdna2l5cXOqJ79+4ps1avXo3+5MCBA5iSmJiIKfPmzVOVk5KSglnTpk1j iT/++CMmfv/9967Twmir9Hnw4MFLL71kMu9fwfJnxYoV+mFi+/btRYoUAYFJ kybBP50YJjhbYmgEWeCGZuTl5XG2RCQUJghCJJwW16VLF3Qm9erVO3r0KCaC w2ndujUkVq1ale1LbN68GSUtvhXFMzZjxoxhKSNHjoQU8KJZWVkXLlz45Zdf YL4N7i4uLo7/tbJNLYy2Sp8hQ4aAfPHixSH6wD/1w0RycjKeEerduzf2ks0w UbNmzfT09HPnzqWlpel3An9L+EcQKkXJsLCw+/fvw0pk7dq1+Lbo4sWLnF3k UihMEIRIOC3u0qVLTZs2Nf1DcHBwVFRU+/bt4Wc/P78jR44wyaVLl6pmp0p8 fHwgq1evXiylY8eOJvPhTPxBCXjL6Ohop2hhtFU6TJ8+HRvMzoXqOGdwueCB IQt6j03jbYYJJZ6ens2bN4c5f25uriMt4R/B/fv3owzIV6hQQdkYDw+PQYMG 3bhxg6ejXAeFCYIQCb/FZWZmVqlSReXESpQoAUsApVh4eDhmpaSkaAtBD9my ZUuWgvvqCKwpwGXVrVsX3yMA7u7uMIl1XAujrbLGmjVrsJyZM2eyRJ2tnkaN GqEfvnLliqo6owdie/TokZ+fb19LEM4RhLWDUqBMmTIwIhCyWUqbNm34bz66 AgoTBCESTouDWXGLFi3ARYBXnz9/PjgK5jSCgoIOHTrEJKdMmaLjqfz9/VUO Ge9KVKtWbdmyZey0J3ihr7/+GsspWbKkzmUBTi2Mtsoie/fuxUOnI0aMUKZb dM7g0tHng5s9fvy4Ul4nTKxbtw5Ki4+Ph0eOHTu2c+fO0NBQFjQnT55sR0sQ /hGEuIPpQ4YMSU5OZukQYTHqmcz7Ufp95VIoTBCESHgsDmahvr6+4Bzq169/ 7do19uCgQYPwPpeHh8eePXswfeHChehJlB6GgZsYXbt2xX/m5eXhu93Bgwdr hSdNmoRF7dixw0EtDLXKGh06dDCZL4ZDJ9xSsGDBAiz8wIED8E8MdgkJCZgY ExNz63/BzuzVqxf+U7lGsAi0uVSpUvBIQECAHS15ZHAEP/vsMyzkzJkzqpZA rClbtqzJvB+l32aXQmGCIETCY3Hz5s1DvxEVFaXKYnv+4LgwJTo6GlP27dun LQrXDsOGDWMpOJNnjyuBErCo8PBwB7Uw2iqLvPLKKyYOUBeY8PMIA8p7HNZ4 4403UBicv9GWPDI4giCj07Dg4GCT+ZMdhXgIisIEQYiEx+IGDBiAfuPq1auq LPAVuCVSuXJlTIFJKQprD7imp6djFts8efSP26lZs6a23lOnTqF8aGiog1oY bZVFOJ0ziD0yEiZAUr9eICwsDIVxN8lQSx4ZHEEWnVetWqVtCSuqED8DSGGC IETCY3EDBw5Ez2DxHUFgYKDJ/JYW/wle193d3aTZNn9k3njHcpRzWvxMh4eH h7bwXbt2obzNjwjZ1MJoqyxy586dK5Zgc3WYfsM/QeyR+aN5FoUBfI/cs2dP /CfPuV8QNpmvkON5J0MteWRwBCGUoPD48eO1wm3btjWZ3yXZbLProDBBECLh sTh2txd+UGVdvnwZ36UqT5N26tTJZL7wpZy7FhQUhISEmMwfLMrOzmbpW7du xcLfeustVeF9+/bFLIsvFIxqYahVoNdQMxMnTtQv9pGt80VarL3CPnbsGLvR oCQpKQk/tdG4cWP7WmJ0BPH7hJCu6lVoHr5L0l5mFwmFCYIQCY/FnT59Gl+h enl5KTdtzp8/36pVK5P56P727dtZekxMDDolmHmCYwFXDL4IpqaYqP2aH7v5 NXnyZNzKyMrKAv+MiRAsnKKFoVaBx8Z0thWjg7PCBK4FOnfuHB0dnZqampeX BxFt8eLF5cqVw/KVnWyoJUZHMDExEV9tw0Lj999/x8S9e/fi969gUWMxnAmD wgRBiITT4tgnHUzm8zbdu3cH98I+STplyhSlMPg39srVZD7Ryn4OCgrS3uQF J8bOfMJk1dfXFzeIgOeee+7mzZtO0cJQqwoxTDDYV8ERnkviOi0xNILA2LFj mbyPjw8bIGjVN998w6Om66AwQRAi4be4hIQE9tltBsw2t23bphWGuXpYWBh+ pALx9PSEebK1j/tdunTp1VdfVZbs4eExYcIEzveknFrwt+rEiRMowPMHL1au XInCEO94Wot/FGnQoEGq9OTk5P79+zOHzPDz89u0aRNPyfotMTSCwHfffccW MgjEU54X7q6GwgRBiMSoxYE/37VrFziQHTt2nDlzRv/MP7jl1NTU6OjoxMRE nj+peevWLXBl69evT0pKMnTP15AWRlslmNzc3FOnTsXFxa1du3b37t3K69tO wdAIQi4sTCBI/fTTT2lpac5tid1QmCAIkchhcXJoQXBCw00QIpHD4uTQguCE hpsgRCKHxcmhBcEJDTdBiEQOi5NDC4ITGm6CEIkcFieHFgQnNNwEIRI5LE4O LQhOaLgJQiRyWJwcWhCc0HAThEjksDg5tCA4oeEmCJHIYXFyaEFwQsNNECKR w+Lk0ILghIabIEQih8XJoQXBCQ03QYhEDouTQwuCExpughDJfwniyaSwTYcg nhYK29YJwk4K23QI4mlBDouTQwuCExpughCJHBYnhxYEJzTcBCESOSxODi0I Tmi4CUIkclicHFoQnNBwE4RI5LA4ObQgOKHhJgiRyGFxcmhBcELDTRAikcPi 5NCC4ISGmyBEIofFyaEFwQkNN0GIRA6Lk0MLghMaboIQiRwWJ4cWBCc03AQh EjksTg4tCE5ouAlCJHJYnBxaEJzQcBOESOSwODm0IDih4SYIkchhcXJoQXBC w00QIpHD4uTQguCEhpsgRGKHxRUUFGRmZvLLZ2VlGWyUYezQwimtunPnzpUr VziF8/Pz09LS7t+/zymfkZGRm5trtElQfk5Ojr6MoRE02mwBUJggCJHwWxz4 lsjIyFatWpUuXdpkMlWsWLF9+/Y//fSTNfnY2Ni+ffvWqFEDhH18fEJCQhYs WGBRctq0acHW6dixo02fxq8Ff6t0SElJgUKgB0xmSpQo0bhx49WrV4NH1QqD q4+IiKhTp07RokVB2M3NzdfXd/jw4efPn9dKbtiwYciQIXXr1i1VqhQIFylS xN/f/8033zx79qx+e2bOnNmvX7+AgAAoHx5s0qSJVszQCPI3WzwUJghCJJwW d/369bZt25osAU5MKx8VFeXp6akVHjFixMOHD1XC3bt3t1gyA2p3ihaGWmWN JUuWgPfGB8F5sp8BCDqqciDANWzYkAl4eHiwn8H97ty5Uym8ceNGaz0Awlu3 brWmVPHixVXy4NJVYoZG0FCzxUNhgiBEwmlxvXv3Ri8BLh3mn0eOHFm1apWf nx8mfv/990rhgwcPYjrMV+fMmRMfH798+fJmzZph4owZM1SFY5jw9vZ+2wp3 7951XAujrbLIoUOHMC48//zz8Pjly5fv3LkTHR0N03IsZ+rUqUr5Pn36YPq4 ceOgxry8POi68PBwWICYzMsZZQTEMOHl5QULCljjbNmyZcqUKfXr18cSQBiq UxYOq4MxY8ZgLqw+xo4dCyEMosmiRYtGjhyparmhETTUbPFQmCAIkfBYHPgr dBqDBg1Spt+4caN8+fKQXqlSpVu3brH0UaNG4bQzISGBJWZkZAQEBEC6v78/ +DdlORgmAgMDXaqF0VZZBFwxdkVqaqoy/f79+1ACpINXZ4kQ3XAe3q9fP1U5 kZGRWA6EBpa4f//+sLCw9PR0lTCLBeDYlels9dGqVSv9XSlDI2i02eKhMEEQ IuGxuAkTJqBzuHDhgioLpq+YtWzZMkwBJ4Nb3z169FAJR0REoHBsbKwyXUCY sKNVFunYsaPJ/Mrg3r17qqxu3bpBVvHixVkKW798/PHHKuHDhw9j1qxZs2xW mpycjMIwECwRghruC4GHh2CnX4KhEXRWs10HhQmCEAmPxXXo0AE8Q9myZbVZ Fy9eRL8xdOhQTElMTMSUefPmqYRTUlIwa9q0acp0AWHCjlZZ5NNPP0XhlStX qrJwVdKlSxeWkp2d7eXlBYlBQUGqsLJ69Wos58CBAzYrPXHiBAp/+OGHLPHH H3/ERNV+kUUMjaCzmu06KEwQhEh4LA5ffZYqVUq7LZOfn48vhWGajSmbN29G T2LxRScemxkzZowyEcNEzZo109PTz507l5aWxv9CmVMLO1plEXCPWA4sKMLD w9nRU7arw+bkCEQNTK9Xr97Ro0cxEXxv69atIbFq1ao8O11Lly7VFj5y5Ehs RlZWFqwRfvnlF1gXrFixIi4uTtt7hkbQWc12HRQmCEIkPBb3/vvvo9M4fvy4 NhecBmQ1bdoU/8l8msUJp4+PD2T16tVLmag96QSOq3nz5jB35bw4YFMLO1pl jUWLFrHjUhUrVgwLC1u8eDEGmtGjR6safOnSJegZpldwcHBUVBS+7/bz8zty 5IjN6iASPf/88ybzq+1r166xdNz+cnNzwx+UQMCNjo5WFmJoBJ3SbJdCYYIg RMJjcWyrAeaWylfVj8wnf/AdaJs2bTAF5tgonJKSoi2qevXqkNWyZUtlos6B 2B49eli8jGBUCztapcO8efO0TYUYYVE4MzOzSpUqKuESJUpoXxNYZMSIEfhI aGioMr127dqsNFhTgPeuW7cuvn8B3N3dlQdoDY2gU5rtUihMEIRIeCwuLy8P 5pPoKMqUKTNkyBCYQr/11lsNGjRgDuSNN95A4SlTpmDKyZMntUXhcSCVQ163 bt2KFSvi4+Nhrnvs2LGdO3eCS2Qeb/LkyY5rYUerrBEZGYlrh0mTJo0bN65c uXLMM3/00UcPHjxQCqelpbVo0QJywavPnz8fXDHrsaCgIHDR+nXNnDkThRs2 bKi6B413JapVq7Zs2TJ2YBiWHl9//TU+UrJkSXZs1dAIOt5sV0NhgiBEwmlx t2/fxn1pFbhfAYCHRMmFCxdiSnJysracChUqQFbXrl1t1giP403kgIAAx7Vw Vqvmzp2L5SxZsgRTwDOvXLkS3DWmK3f4YULu6+trMp+SZftF0M5BgwbhXWkP D489e/ZYqwv8M5ZZs2ZN8NvKLHD7eH1j8ODB2gchfuGDO3bsYIn8I+hgswVA YYIgRGLI4nbt2jVx4sTXX3+9T58+MB2Njo5OSkpCJwNzbJSBREzZt2+ftgSc Aw8bNoynOpjfYlGqfRI7tHBKq8A5P/PMMybzJQtVVkZGRp06dbAKdi+D7U1F RUWp5Nm7kg4dOlisa9asWSgAdZ07d04rgCsgi4+DjvhseHi4KotnBB1pthgo TBCESBy0uAULFqDfOHjwIKbAPBNTtAc109PTMYtnHwkAP4byFneKlNjUwimt gmagpMUzUcyxM387YMAATLl69apKGCIO7qpVrlxZlVVQUMCuOdSrV09185qB m0iw0NBmnTp1Ch9Xvc6wiHYE7Wu2SChMEIRIHLE4mOSDuwCn8corr7BE8Lru 7u4m84eSVPLr1q2zNk21SM+ePU3me9M2zzvZ1MIprWLud9y4cdpcVs4333yD KQMHDsQUi5+2CAwMNJkPDikTc3Jy+vfvj0+1atVKZxmFV7M9PDy0hcOSAUuA yb++RhZH0I5mC4bCBEGIxG6Lu3v3LvvyT3x8vDKrU6dOJvNhUeV0FCbJISEh JvO3m7Kzs1n6sWPH2Ml8JUlJSfjJiMaNGztFC0Otgjn8UDMTJ05UCpcpU8Zk fnF8584dVfnvvvsu9gZ7w/vVV19hCvygEobyixUrZvrfU7jgliE04CN9+/bV /3b31q1bUfKtt95SZcGzmGXxRQzD2ggabbZ4KEwQhEg4LQ5cyurVq8HBPnz4 8OTJk2vXrq1VqxY6E+2Xf2JiYjCrbdu2EALAu4J7GT9+PCaqvkqHO+GdO3eO jo5OTU3Ny8uDWhYvXsxOEG3fvt0pWhhqFQQvTFftrowePRrTg4OD2Wvl/Pz8 ZcuW4WqlYcOGTPj06dP4Ft7Ly0u52XX+/HkMB25ubkrt2KU2KGTHjh0/WUIZ 45j85MmT8bBTVlYWxDUWaJQt5x9Bo80WD4UJghAJp8WxTzooAcc4ffp07YVc cPXs7bPJfDKT/RwUFARFKYVVdxDwLA2D52Y0pxaGWmUtTNy7d499srVEiRJt 2rTp1q0b/vUKk/nzSqo/x8AuLJjMR7a6d+8OnhYn5MCUKVOUwi+99JK2k1Ws X7+eyYM/Z8eGixQp4uvri6EKeO65527evKks3NAIGmq2eChMEIRI7AsTFStW 7NSp06+//mpNHjxPWFiYt7c3e8TT0xOWDNqP1CUnJ/fv35+5O4afn9+mTZuc qwV/q9hnlLR/uCE7O3vq1Kn4SW2Gh4fHuHHjbty4oa00ISGBfa6cERgYuG3b NpVku3btbAQJkwnWRMpHLl269Oqrr6paMmHCBO2n142OIH+zxUNhgiBEwmlx +fn5hw4dAr+9Y8cO1Rl+HcAtp6amRkdHJyYm6u+05+bmnjp1Ki4ubu3atbt3 7+b/y6GIIb/B3yodwA9DgNuwYQNMvA8cOKB9VaEC/PmuXbu+++476MAzZ87w XC3n59atW+DVYaGRlJRk7S+c2jeCLm223VCYIAiRyGFxcmhBcELDTRAikcPi 5NCC4ISGmyBEIofFyaEFwQkNN0GIRA6Lk0MLghMaboIQiRwWJ4cWBCc03AQh EjksTg4tCE5ouAlCJHJYnBxaEJzQcBOESOSwODm0IDih4SYIkchhcXJoQXBC w00QIpHD4uTQguCEhpsgRCKHxcmhBcEJDTdBiEQOi5NDC4ITGm6CEMl/CeLJ pLBNhyCeFgrb1gnCTgrbdAjiaUEOi5NDC4ITGm6CEIkcFieHFgQnNNwEIRI5 LE4OLQhOaLgJQiRyWJwcWhCc0HAThEjksDg5tCA4oeEmCJHIYXFyaEFwQsNN ECKRw+Lk0ILghIabIEQih8XJoQXBCQ03QYhEDouTQwuCExpughCJHBYnhxYE JzTcBCESOSxODi0ITmi4CUIkclicHFoQnNBwE4RI5LA4ObQgOKHhJgiRyGFx cmhBcELDTRAikcPi5NCC4ISGmyBEYofF5efnp6Wl3b9/30VNsgM7tMjKynK8 3jt37ty8eZNT+MGDB7du3XK8UsdbUlBQkJmZySn88OHDGzduwCP2Ns35UJgg CJHwW1xubm5ERESdOnWKFi1qMpnc3Nx8fX2HDx9+/vx5nafAvQQHBzdt2vTA gQNOarIF+LWIjY3t27dvjRo1QAUfH5+Q/6+9Mw/L4rr++IsI7sGg4hoJyFMh ilpN1LrFfY3BKBoXqtEHa7RpRK0kpiV1a92Cj9WYukQFxQeFaNxNE3AhmKJY gijSKnHBIC4UN9wA4Xee9zzObzLzLvfdBjL5fv7Ik/feM/eeM9dzzr137gyD Bq1evVq8IzInKSlpxowZHTt2fPHFFw1G6tSp06dPny+++IISqEI+Ly8vOjq6 d+/eLVq0qFatGgl7eXm99tprMTExamFi/vz5A8wzcOBAKbzbqglfsm7duu7d u7/wwgsk7OPj07dv38OHD6slKeN8/vnnQ4cO9fPzq169Ogl7eHjQTZs7d+7V q1fFb5eLQJoAQEsEPY6iU4cOHQzP4dDBUNageGXuwoSEBBb76quvnKr4TxC0 IjY2lsKdQUV4eDjNmUU6ysrKUl8uMX36dIV8u3btzAn36tWLMq9Cfvjw4Rba J27fvm2fJnQh9WhSeNKkSQrhkSNHmmu5QYMG2dnZIvfKdSBNAKAlgh4XGhrK UeL3v/99SkpKaWnpmTNnFi1aVLt2bYNxWi6FL2bnzp1Lly6loOfu7s4XVnqa SE9PZ01oFr1ixQqyYtOmTV26dOHCxYsXi3TEwZmMeuutt5YvX37gwIGDBw9G RkbyfSASExPl8pwmgoODo6Ki4uPjt27dSmuZevXqsfC8efMU7XOaIIHfmeHh w4f2aTJq1Cgupy5oBUHDR8r4+vpy4bZt2+TCnCZo+fDHP/5xy5YtNA2g//7m N79hYVpRitwr14E0AYCWiHgchSZePowZM0ZRtW7dOg4du3fvlpe3bNlSMQut 9DQxbdo0g3Htk5qaKhUWFRUFBARQuZ+fn8j2+5UrV959992LFy8qyvfu3ctm zpgxQ14+e/bsffv2KVrOzc3lTOHv769oh9NEYGCgczUhHbgwLCxMLlxYWNiw YUMqb9y4sfy5yZIlSyiJ0GRALkxrHymr3rx506qGrgNpAgAtsWke/tFHHymq /v3vf3PVsmXL5OWffPLJR0bGjRtXFdIEZTrekA8JCVFUrV27ljVMTk62W4Gn T59yI2+++aaI/IgRI1j+3r178nLxNGGTJpStuFD9ZGH9+vVctXHjRquN04Cy cEZGht0aOg7SBABaIuJxxcXFNWvWpOAQFBT06NEjeVVcXBzHDXNPqI8dO1YV 0kRaWhqrER0drag6f/48V82fP99uBaT2P/74YxH50aNHG4zHABT30/E0YVKT /v37U0n9+vXV8nl5eSw/efJkq40PHjyYJGvUqFG559yQJgDQEkGPGzp0KAeT 4ODgrKwsLqQQ16NHDyps0aKFuR2bKpImpK0Yk0/b+eyW+rGvCIWFhYmJiX5+ fgbjUw/6afWSsrIy3pRr3ry5oorThL+/f0FBweXLl/Pz8wWfrVvWhB9e161b Vz1Mz54948f6AwcONNcyydCy8f333+d7uGjRIkGVXATSBABaIuhx165d69y5 8/PnDIYBAwbExsb27duX/t/X1/fMmTPmLqwiaWLDhg0WVj3e3t5UNXLkSJs6 Xb58eYcOHWhFIN2Ts2fPily4ZcsWvmT27NmKKvVJJ4rhXbt2pVWb+liUuCYz Z87kqnPnzqkvpyxPVTS+6qrr16/TSoTvD0GLSsoRlf4OBdIEAFoi7nH3799v 2rSpIojVrl3b8kH6KpImKLixGufPn1fX8ty+W7duNnUqPXYhXnrppU8//dRC JJfIycnh59f0X0q+iloLB2JDQkJMvg0hoom0N0iLQcUrfqdPn+an2D179lS3 THdVrsOYMWMsTAk0A2kCAC0R9Lj8/Hw+D9m6detVq1ZRSJFCR1BQEIUacxdW kTQRFRXFaly4cEFdyxs1tqaJ3bt3/+lPf5o2bVrbtm25cfqfu3fvWriEbmOr Vq1YeMeOHWoBKty8eXNKSgpN+2lFkJSUNGvWLH74bjB1gFZQk9LSUlpicJWX l9fEiRMjIyPfeeed9u3bS+M4duxYdctFRUUff/wxrXpGjRrFR23d3d3XrVtn 041yOkgTAGiJiMfROqJZs2YUItq1a3fr1i3pwrCwMN7oqF69+vHjx01eW0XS xJo1a1iNzMxMdW2jRo2oatiwYXYr8I9//IPbt/Ag+MaNG5RkWWzJkiXijZPO devWpasCAgLs1oSyBj9IUsA7TsSHH35oueXCwsI2bdoYjIeKTWZbzUCaAEBL RDwuOjqaI0lsbKyiStrz79+/v8lrq0iakF4GP3HihLq2Vq1aVDVlyhRHdOjY sSM1QvnUZO3Vq1cDAwNZhwULFtjaOE31+VqRr0JZ0OTIkSNz5sx5++23Q0ND aUFBtyUjI4NbFlkjSO9f0LjbaoITQZoAQEtEPG78+PEcHNQvVZWWlvKWSJMm TUxeW0XSBC12WA3F68ZEQUGB5S0dQaQHBOp9p+zsbJ600+LLpk9ISVBI58ZF pvEWNFFD+rBwenq6VWHpUUVERISQ3q4BaQIALRHxuAkTJnBwUHyRg+FJsq+v r8lrq0iaoFzAX94LDw9XVO3YscPcWskmunfvbjAeOlU8aD569Ch/ms/DwyMu Ls6+xvl1PE9PT5Gn5OY0UUNrE8rvJNyvXz8RNb755hu+V8uXLxfS2zUgTQCg JSIet3LlSg4O9D+KquvXr9eoUcNg/jRpFUkTFc9fDfPx8ZGvicrLywcNGmQw njsqLi6WysmuyUbmzJkjb+TAgQO5ubnqxlNSUjgN9ejRQ14eExPDL2XUr1/f 6lveZ8+eld5JkZORkcEfS+nUqZPdmqh5+PCh9KkuukoqLywspNSp+FJHhfFe DRw4kOUtfOxRA5AmANASEY+jcMSPUGvWrCnftLly5QpPXN3c3A4ePCi/hELu XSP79+/nwJKYmMgl8mispRWkAGvSq1cvisYU9CgXREREcOHUqVPlwhSxuVyx mfbWW2+5u7uPGTPmyy+/vHDhQllZ2Y8//vjJJ59In/LetWuXJHzy5EnDcyjD HjaF/FkJPwMaMmRIQkJCTk4OBWrKaJ999lmDBg24EflNtkmTCmNSoLUMNUiS JB8fHy+duVJ8quvMmTO8PKTWSD1acTx69Cg1NVU6K9WxY0eRRY3rQJoAQEsE PU46eG8wnrcZPnw4JQheRxBRUVEKeenTo2qCgoIqxQqKutKDYIPxTzPIVcrL y5MLW0gTclukN9qYd999Vy589OhRczfB5N2QjgqYbFzxkrhNmlTIPsohh9Yd CxcuVLwux2nCHJSGKIVZGxDXgjQBgJaIexzNJ6UPhEoEBgYeOHBALcx/98ck r7zyirONELWC4mFkZKT0HW+D8XkBzd6LiooUktnZ2SygOC+UnJwcGhoqfaxb gmbme/bsUTQiPTe3gPyj3JmZmePGjZPekpCgnKtu3CZNKlRpwsfHZ/DgwV9/ /bVa8v79+4sWLZL/eRGGcgqtuUw+n9IYpAkAtMRWj7t27dqRI0e2bNly6NCh H374wepDUm2wyQpKFjQfTkhISEtLs+8TdrQwuXLlCmWB+Ph4WjLk5+fb0Yg5 SkpKLl68eOzYMW78xo0bTtGERur06dOUQWjgBBW+e/cuZa59+/bt2rUrKyur 6vxZW6QJALREHx6nDyuAIBhuALREHx6nDyuAIBhuALREHx6nDyuAIBhuALRE Hx6nDyuAIBhuALREHx6nDyuAIBhuALREHx6nDyuAIBhuALREHx6nDyuAIBhu ALREHx6nDyuAIBhuALREHx6nDyuAIBhuALREHx6nDyuAIBhuALREHx6nDyuA IBhuALREHx6nDyuAIBhuALTkvwD8PKls1wHgl0Jl+zoAdlLZrgPALwV9eJw+ rACCYLgB0BJ9eJw+rACCYLgB0BJ9eJw+rACCYLgB0BJ9eJw+rACCYLgB0BJ9 eJw+rACCYLgB0BJ9eJw+rACCYLgB0BJ9eJw+rACCYLgB0BJ9eJw+rACCYLgB 0BJ9eJw+rACCYLgB0BJ9eJw+rACCYLgB0BJ9eJw+rACCYLgB0BJ9eJw+rACC YLgB0BJ9eJw+rACCYLgB0BJ9eJw+rACCYLgB0BJ9eJw+rACCYLgB0BI7PO7p 06d37txxkT72YYcVDx48cJEyldJpUVFRSUmJKzTRx3ADAOxG0OPy8vKio6N7 9+7dokWLatWqGQwGLy+v1157LSYm5tmzZ1Yvv379+htvvDFgwIBly5aJaLVq 1aoBRuhCEXnxuJGcnDx69OiXX36ZTPD29h40aNDq1atFLpSYP3/+APMMHDjw /v37Tul0586dnTt3njp1qslaSgpffPHFxIkT27ZtW7duXWrZ3d3dz89v0qRJ ly5dctB8B4fb1SBNAKAlgh7Xrl07gxl69epleR5bXFzcqVMnFh4/frzVvuLj 493c3Fj+woULTrQiNjbWw8NDbUJ4eHhZWZlIR8Tw4cPN3Qrm9u3bjndKs33K ESTWtWtXkwK7d+82p4Cnp+f+/fsdMd+R4dYApAkAtMSmNBEcHBwVFUVhfOvW rTQprVevHoeOefPmmbuQJp8hISFSkLGaJlJTU2vUqCHJOzFNpKenc5s+Pj4r VqxISUnZtGlTly5duHDx4sUiHVU8TxNk++/M8PDhQ7s7zc3NXbt2bUREBK0L WMZymqhZsyYtKGhFsG/fPhoaKbzTSkGxELNJE7uHWxuQJgDQEkGPmz17NgWi 8vJyeSHFNA4d/v7+5i6cNWsWCVSvXl0kTVCDDRs2lM9dnZgmpk2bxjNtykRS YVFRUUBAAJVTWFZYZw5OE4GBgSLCtna6efNmxezdXJr47rvvIiMjCwoKFOXT p0/nCym2262J3cOtDUgTAGiJgx43YsQIDkr37t1T19LEmGvXr1/fsmVLy2mC Qlbr1q1JJigoaOXKlc5NEzTDf+GFF6hBWtqYUzI5OVmkL/E0YUen33///UfP adGihYU0YY7MzExumUK9I5qYxPJwawbSBABa4qDHjR49moKGm5vbo0ePFFUH Dx50d3en2rlz59JPy2ni6dOnr7/+Om+JXLp0SZpUOytNpKWlcYPR0dGKqvPn z3PV/PnzRfoSTxMOdtq7d2870kR2dja3/MEHHzhLEwkLw60lSBMAaIkjHldW VsbBv3nz5ooqmtPyBsWoUaN478Jympg4cSLV1qpViwJahWzvxVlpYu/evdxg UlKSutbT05Oqpk+fLtIXpwl/f/+CgoLLly/n5+ebexLtYKf2pYkNGzZwpxs3 bnSWJoyF4dYYpAkAtMQRj9uyZYt6f4OgyMkbJp07d5amnRbSxMKFC3mOmpiY yCVOTxNS8Dx16pS61tvbm6pGjhwp0pf6pJOHhwcF87i4OMURIAc7tSNNPHny 5Fe/+pXB+Gj71q1bztKEMTfc2oM0AYCW2O1xOTk5vF6g/167dk0qLy4u7tix I5X7+vreuHFDKjeXJrZv387BZ+nSpVKh09PEokWLuMHz58+ra1m3bt26ifRl 4UBsSEiI/LUCBzu1I02Eh4dzj7NmzZKXO26+ueGuFJAmANAS+zyO1gutWrXi yLNjxw6pnIIkR1EvL69z587JLzGZJr799ls+/krxTV7u9DQRFRVloUE+fSqY JsheUi8lJYUMPHv2bFJSEsVkfkBs+OlhUQc7tTVNUJ7l7jp06PD48WN5lYOa mBvuygJpAgAtscPjaI3AR5KIJUuWyKtSU1O5PDEx8c5PadasGe9s8E+edffv 358KX3311Vu3bsmFV69eLW2S0E/5mwj2WbFmzRpuMDMzU13bqFEjqho2bJhN 90EONcuvQgcEBDirU5vSxKpVq7gvf39/iuqKWkc0sTDclQXSBABaYqvHXb16 NTAwkIPGggULFLW0OjC3IaOAT+/369dPRJiyiYNWJCQkcFMnTpxQ19aqVYuq pkyZIn4f1IwdO5a7kL6A5GCn4mli2bJl3BGtCy5fvqwWsFsTy8NdWSBNAKAl NnlcdnY2P5t2c3Mz+S0g8TRBkhXCaYLEHLTi+PHj3NS2bdsUVQUFBVzl4MvF kZGR3I60seNgpyJpory8fPbs2dxUcHCwuU9g2aeJ1eGuLJAmANAScY87evTo iy++aDAe7ImLizMpU1ZWdsMMTZs2pWtHjBjBP/kQ6b1790wKR0dHc+yiRQf9 tPoyl1UrKBjyJ+wUD0EqjM8auK/Y2FiR+2AOfvXM09NTOu/kYKdW08STJ0/G jRvH7XTv3t3Cd1zt0ERkuCsLpAkAtETQ42JiYvh0ff369QXfVlZg9S1sOU5/ hE0MHjzYYHx97+bNm1IhzcYHDRpkMB7gKS4ulsppWj7ZyJw5c+SNnD17Nisr S914RkYGf5CkU6dOdneqwHKauH37NqUGvkujR49WPLN20HzHh9ulIE0AoCUi Hnfy5Elp/2flypWHTWFy01tOpaeJxMREbrNXr14U6ilCUi6IiIjgQsX3uikd cHmTJk3k5bzMGTJkSEJCQk5OTmlpKUXdzz77rEGDBix/8OBBuzslqMG7z+nW rRvnHalE/h7f0KFDuZEOHTocOnTI5KDIM4K4Jk4ZbpeCNAGAloh43NGjRw3W CAoKstxIpacJisDSU2aiTp06cuXz8vLkwpbThIT0wXNG/SKzTZ1WyF5hM8nO nTslSf62iWXk8uKaOGW4XQrSBABaIuJx0gNQC7Rp08ZyI/yncMLCwkS0iomJ 4WZzc3OdZUWFcY8lMjJS+iC2wbjxTkuDoqIihaT0ZaRmzZrJyzMzM8eNGye9 JSHh6+u7Z88eBzuVG24SWsJIkn369LE6KNJb7TZp4pThdilIEwBoiT48ziYr KFrm5ORQyE1LS7O6pW+SkpKSixcvHjt2LD4+nube8pfNXdeps6g6mtiNPv7R AvBzQR8epw8rgCAYbgC0RB8epw8rgCAYbgC0RB8epw8rgCAYbgC0RB8epw8r gCAYbgC0RB8epw8rgCAYbgC0RB8epw8rgCAYbgC0RB8epw8rgCAYbgC0RB8e pw8rgCAYbgC0RB8epw8rgCAYbgC0RB8epw8rgCAYbgC0RB8epw8rgCAYbgC0 RB8epw8rgCAYbgC05L8A/DypbNcB4JdCZfs6AHZS2a4DwC8FfXicPqwAgmC4 AdASfXicPqwAgmC4AdASfXicPqwAgmC4AdASfXicPqwAgmC4AdASfXicPqwA gmC4AdASfXicPqwAgmC4AdASfXicPqwAgmC4AdASfXicPqwAgmC4AdASfXic PqwAgmC4AdASfXicPqwAgmC4AdASfXicPqwAgmC4AdASfXicPqwAgmC4AdAS fXicPqwAgmC4AdASfXicPqwAgmC4AdASfXicPqwAgmC4AdASOzyuvLz8/v37 LtLHPuyw4sGDB473W1ZW9ujRIxd1Si2XlJS4SBOGhvLhw4e2XuUKTWwCaQIA LRH3OAop69at6969+wsvvGAwGHx8fPr27Xv48GGFWGpq6gBr/Pa3vzXXy86d Ozt37jx16lQXWZGcnDx69OiXX36ZTPD29h40aNDq1att6qvCGMA/+OCDbt26 1a5du1q1am3btp08efKFCxec0unly5cnTJgQEBDg5ubm4eHRpk2b999//86d O07RpMIYxrdv3z5z5syePXvWq1ePVKpZs2ZiYqJlk69fv/7GG2/Q2C1btsxZ mkisWrWK/2FQLyLySBMAaImgx92+fbtXr14GU0yaNEkumZCQYFJMzksvvWSy F5psU44gga5du7rCitjYWAq8an3Cw8MpeAr2VVhYSMFQ3UijRo3S09Md7HTz 5s116tRRCzdu3Phf//qXg5oQN2/e7NOnj/qSDRs2WDC5uLi4U6dOLDl+/HjH 74mc+Ph4SogsL5hWkCYA0BJBjxs1ahQ78vDhw2kFcebMma1bt/r6+nLhtm3b JMmMjIzfmadJkyYGVZrIzc1du3ZtRESEn58fN+iKNEHxihunddCKFStSUlI2 bdrUpUsXLly8eLFgXzSp5ktCQ0NpEv7NN9/MmzevevXqVFK/fn2KqHZ3eurU KakdWm6cPn2a5CmbcBQNCgpS7EHZpAlBDTZv3pwvoai+cOHCXbt20fKN7vxX X31lzt5nz56FhIRIkd9kmrBVEwlae9aoUUNqHGkCgCqIiMft27ePvTgsLExe TnPIhg0b8lzX3K6IHJrK1q1bl3ONvJym0IpZqCvSxLRp06hlT09PCk1SYVFR UUBAAJVThiovL7fa0Y8//uju7s4mUPyUyimqs+YxMTF2d/rrX/+aCmnpcf78 eXkj8+fP58b/9re/2a0JddS+fXsqp7D86aefihjLzJo1i67imG8yTdiqiQRN D/jfD9IEAFUZEY+bPXs2e/HVq1cVVevXr+eqjRs3Wu1rxowZJFmtWjVajMjL v//++4+e06JFC1ekiYcPH/IjFZoYK6poIcMmJCcnW+1o0aJFLEw6y8sp6tJ6 gcp79uxpX6eUZ3nVMHnyZIXwkydPeJ1FawH7NCF2797N8n/961+tmqnWkwa6 ZcuWJtOErZowlCtbt25tMK6SVq5ciTQBQJVFxOP69+/Puwfqqry8PHZwdXBT d8Qz0gkTJlgQ6927tyvSRFpaGusZHR2tqKKpO1fRpN1qR4MHDyZJLy8v+bSZ GTNmDFXRvFqqsqlTyhdcsmrVKnW/U6ZMUWRqmzShiN2hQwcqDAwMLC0ttWom c/DgQV4mzJ07l36aSxM2acI8ffr09ddfNxj34i5duiQtJ5EmAKiCiHgcP7yu W7eueqeC3J+fzw4cONByIyNHjjQYd1QoLFgQc1Ga2Lt3LweipKQkda2npydV TZ8+3WpHvC/Uo0cPdRXN0rmLmzdv2tHpkSNHWHjFihVqYWnG/t1339mhSX5+ PpdERkY+fvw4PT09Pj6eFgj79++nRG/S0szMTD4HNWrUKB53c2nCJk2YiRMn UmGtWrUok1bIdh2RJgCogoh43MyZM9mLz507p67lbaLOnTtbaIGCG7fw3nvv We7LRWliw4YNrMCpU6fUtd7e3lRFicxqR82aNSPJoUOHqqukrfisrCw7Or1z 5w4Lh4aGqoU///xzrj106JAdmkj3n4apUaNGBhm0xAsLCyssLJS3QGlFGlbp JQhzacImTYiFCxdSiZubm3QKF2kCgKqMiMfFxcWxFwcHByseVZ8+fZqfQprc f5bo3r07ydSpU+fGjRuW+3JRmpBm44qnwwwHwG7dulnuhSbVvG82ZswYda0U 677++mv7OuXn2gQlBbnkgwcP/vCHP3AVP8uwVRNaO8hTg5eXV9u2bf39/aUS Gr4nT56wcHFxcceOHanQ19dXPl4m04Stmmzfvp1Lli5dqhZDmgCgCiLicaWl pQMGDJAizMSJEyMjI9955x0+OcOMHTvW3OVffvkly/z5z3+2qo+L0kRUVJSF QMQPiK2mCboP/JTZ5KHQ2NhYRUi0tdOkpCTpQBHdAVrERUREvPnmm7z5w/zn P/+xQxOKyVxCY5eZmSlJUv7ijGAw7kdVGHcRhw8fzgOtWDyaTBM2afLtt9/y 8dfw8HC5GNIEAFUZQY+7e/dujx49DCp4a4L48MMPTV5IYSQwMJAEGjRocO/e PasduShNrFmzhvWUB0kJ3ocZNmyY1Y7ICpIcMWKEuko6FCS9UGZHpzExMXxm WI67uzs/AKKA/PjxYzs0+ctf/sIlP/zwg0I4Pz+/fv36hufbhqmpqSyZmJh4 56fw5tLIkSP5p/RUWlwTPgvx6quv3rp1S96ytDd16tQp+mn1+yFIEwBoiU0e d+TIkTlz5rz99tuhoaE0+UxISMjIyGAHX7dunclLqJwF1Kd9TOKiNCG9G37i xAl1ba1atahqypQpVjt65ZVXSJLWVuqqZcuWcRfSQ2H7Ov3f//5H92rq1Kkh ISE066aFAMV2PgDQpEkT+zSRZvXy1zckeKlYs2ZNyuk04VdPBkwiNSWuSb9+ /URapmyibkoO0gQAWuKgx0nzQJPfZCguLpZeu5a2vi3jojRx/Phx1lP+wjhT UFDAVfPmzbPaEX/polWrVuoqfpOOePr0qXM7LSkpady4seGnSw+bNKE8xSVb t25Vy48fP55raRovniZI0lZNBNMEiVm+IUgTAGiJIx53584dzgLm/HrBggXs +Js2bRJs00VpgsJytWrVDKpdcWLHjh2sJE25rXY0ffp0Fr527ZqiivfW/Pz8 nN7pkiVLFJHZVk1u3rzJwhEREer2+cAzf0GlrKzshhmaNm1qMG4u8U/pg1Ti mty7d89ky7R64hZohUI/rW5OIk0AoCV2exzNPENDQ9m7U1JS1ALk77zNHhQU JP5hPReliYrnb4H5+PjIz/CXl5cPGjSIyuvVqyf/9ND169cnG5kzZ468EemN OcW7eNJ0nTKj3Z2a5NixY7w91bdvX0c04W/31ahRQ3GjsrKy+B069aviCswd iLVVEzV4hA1AVUbQ4ygpxMXFUayjgE++HB8f36pVK3ZtkychK2STzN27d1tu vLS09O5z+EOjFNOkEpEUI2JFYmIi60OTZ4qNFKspF9DsmgsVny4/e/Ysl8sf BzBt2rQxGD85QkskUq+kpIQm+byqokLF22o2dVphfPqTnp7+5MkTWqnR1Pq9 997jc0SUUE6ePOmIJhTMuSma4UsfmyV5PoXr6ekpf7XBJObShK2aqEGaAKAq I+hx0kc55FAEWLhwocmPyP33+ac5unTpYrXxLVu2qBuX2Llzp1OsoGQ0duxY qVn597ppvaMIZRbSBAVAPhpkMJ5B4qm+wXgMafny5Y50WiH7KIccCsJ8DtYR TSqef1OL8fb25u9Nsfzf//53y3evwmKasFUTBUgTAFRl7EsTPj4+gwcPlo7l qwkLC2NJmh5bbTwmJsZCmkhISHCWFZTRIiMj5a8heHh4DBkypKioSCGZnZ3N As2aNVO3c+7cueDgYOmvJBiM38jdvn27g51W/DRNkFj79u1p6WFhY8omTSqM GZnPr0pQtpI/8rAA/1klxVeC7dZEjvQPIDc3V0QeaQIALRH0uGfPnp0+fXrP nj2HDh3Kz8/XQDGbsCluUNzOycmh7JOWlia9hmAHd+/eTU5OpntidVNFvNNb t27985//TExMpLsteDbMVk1oKGnSTsKHDx92+lDapIndIE0AoCX68Dh9WAEE wXADoCX68Dh9WAEEwXADoCX68Dh9WAEEwXADoCX68Dh9WAEEwXADoCX68Dh9 WAEEwXADoCX68Dh9WAEEwXADoCX68Dh9WAEEwXADoCX68Dh9WAEEwXADoCX6 8Dh9WAEEwXADoCX68Dh9WAEEwXADoCX68Dh9WAEEwXADoCX68Dh9WAEEwXAD oCX/BeDnSWW7DgC/FCrb1wGwk8p2HQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAA/p//A1N0w4s= "], {{0, 574}, {525, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{262.5, Automatic}, ImageSizeRaw->{525, 574}, PlotRange->{{0, 525}, {0, 574}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7652777679431667`*^9, 3.7652777860176363`*^9}, 3.7652791223383007`*^9}, CellLabel->"Out[12]=", CellID->265473795] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Dataset", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomInteger", "[", "1000", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"RandomReal", "[", "]"}]}]}], "|>"}], ",", RowBox[{"{", "10", "}"}]}], "]"}], "]"}], "[", RowBox[{"Select", "[", RowBox[{ RowBox[{"#x", "<", "100"}], "&"}], "]"}], "]"}]], "Input", CellChangeTimes->{{3.765277777356275*^9, 3.7652777895737658`*^9}, { 3.765279132862233*^9, 3.765279133035853*^9}}, CellLabel->"In[14]:=", CellID->1118001677], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXlsVcUexy8gCm4UiYK4ARJcWMQ/FFREML4AEtSANSqiYWst1La00LI+ WRRZBSRNrChUQETqU1lfRHYKFFsRaqRIWluoUFpCkVUFoe/7+ouT47m958yZ 9l5M7/eTQA4zvzu/3535zsxv5txoy0HxfaPq+ny+pAb4q+/AlO6JiQPH9IvA PyLjkmKi44YO6RU3cmj00MTOg+qhcCr+bMaf/z9XEEJIyPmJEEKuEKf/wfzz IwxDKB5iDMVDjKF4iDEUDzGG4iHGUDzEGIqHGEPxEGMoHmIMxUOMoXiIMRQP MYbiIcZQPMQYiocYQ/EQYygeYgzFQ4yheIgxFA8xhuIhxmiKB7X/qWTNmjWn Tp2y1ebm5kptVlZWUOMMVJuXlycB7N+/37+2tLQ02OGFJ5ri+eWXX5KSkqIq WblypbWquLh4xIgRKH/99de///77oMYZqHbfvn0S2+zZs/1r165dK7V4CFJ4 4Yn+trV3717IQ0SCpUYKf/3112nTpoVgaFwjfPPNNyWMwsJCaznWyXHjxqE8 Nja2rKwseBGGIZ5ynlWrVskAjRo16tixYyhZsWKFlKSlpYUgTgeD9evXSySf fPKJtTwnJ0fK09PTgxphGOI1YZ4/f76MxZw5c7Kzs6Ojo/E8efLkEydOhCBO B4Pjx4/HxcUhmISEBGsw8+bNk4Dz8/ODGmEY4lU8WPnHjh0bZQEJz6FDh0IT p7PN4sWLJaSNGzdKCQITec+cOTPYEYYhBkd1WA4fPlyGCUOzZ8+eoEaonLpG WFBQIFFNmTJFSpYvXy4lu3btCn6MYYeBeJAkT5o0SQYFO8XRo0eDGqGgGeGs WbMkMJzZy8vLExMT8Tx69GjEHIIgww0D8WRkZFi3rRkzZoRgaDQjxAojUS1Y sGDLli3yjDw/2OGFJ17Fk5WVJSMysRJ5xu4QmjhdzSDjlJQUhISNVU7oeCgt LQ12eOGJJ/EUFhbGx8fLboXnoqIiOeCEIKnQl/dXX31lXRgXLlwY1MDCGX3x 4PyrLuK2b98uhZmZmSr5sd3OBSNOHUvkYDExMUo8+tsx8Yq+eNLS0qq8bcM/ 1UYWvNseT1mZCnX69OlBioec1hbPzp07lUJwirFWWVek4CU/nsSzbNkyiWfH jh1Bioecro0/yYCYExISoJzk5GSe0INK7ROPesmFzDnYUYU5tUw86h36sGHD SkpKQhBYOFPLxLN79251SRiCqMKcWiaejIyMf1dy4MCBEEQV5tQy8ZBQQvEQ YygeYgzFQ4yheIgxFA8xhuIhxlA8xJifCCHkinKl/ze5TvzzIwxDKB5iDMVD jKF4iDEUDzGG4iHGUDzEGIqHGEPxEGMoHmIMxUOMoXiIMRQPMYbiIcYYi+eP P/44efJkkKLyxyDCM2fOVN/v+fPnL1y4ECSn5eXlnhrX59KlS0eOHPntt990 jI2H0pN4Dh8+PHv27G7dut1+++1169b1+XyNGjV66KGH0tPTEa3VMjMz819u DBgwwGucOpYbN26MjIxs0aIFwrvpppt69Ojx3nvv6TsSCgsL+/fv37p16zp1 6tSvX79t27ZxcXEOPazpFFL5/PPPX3311Xbt2l1//fUwrlevXsuWLV977bWf f/7ZZhwVFeXah+vXr7e1n5qaimivvvpqNI7gmzdvPnjw4KKiIlvj+kPpgCfx dOjQwReArl27WifRihUrAlkq7rjjDs0gK7TF8/HHH2Os/X0NGTLkzz//1PS1 cOHC6667zr+Rpk2b7tq1qzpOv/jii0C9geFevXq11fj+++937cOPPvpI2Z8+ fbpjx46q6qqrrrI2vmHDBmvj+kPpgIF42rdvP2HChE8//XTx4sWYbjfccIM4 HTNmjLLcs2dPVGCaNWvmC4J4srOzJZJbbrll5syZ27ZtQ9926tRJCt966y0d R99++610e0REBFaPnJwctAMZYBaj8L777rN1rCenIp4GDRpg8UHjq1atQk+q ccSSdfToUWWs/nvF/qDb/cXz/PPPS+Hw4cMRxsWLF/ft2zdlypRrr71WGj9+ /Lgy1h9KBzyJJzExEd/38uXL1sL8/Hxx2qpVKx2PpaWlsmL36dNHx94ap7NN dHS0zDJsmqoQeQV2H5Rjd7BFXiUPPvggjLGS7N+/31o+ceJE6dipU6caO925 c2dycnJJSYnNaUxMjDSOQXSNEIwaNUrsoW0pOXfunGj+hRdesBm///77Ygzp qsIaGcoaOW0999xzEt6pU6dcjYcNGwZL7LOYF/ouXCNE7914441o+dlnn7VV IQ2Q8JCZOHtBViMrzMCBA21Vv//+O5SAqttuu61mnYK9e/eKMcbU1fjQoUNY u2Dcr18/VagWwLFjx9rsv/vuO6maPn26a+OehrJGxCOrKLodZxNXdzJBkI56 cuEaYVZWlnxr5IG2KqwhUoXVw9kLBlos586d6187aNAgqcXw1aBT8OOPP4px SkqKqzG2PF9lpn3gwAFVePbsWVEUNlbbKCxdulQax47s2rj+UFbUhHiQE955 5522KRmIvn37yqbgf7jQidPBYOXKldJFtsxQkNMHdgdnL5s2bZJGkL341yJ/ kFrsPjXoFHzwwQfSzoIFC5wtsUbJ4QhpmK3q6aeflkaQyeTm5kohNNClSxcU 4lTlumt7GsqKmhDPokWLNJdc9LlYxsbGevXiGqHq/yrnF9JFVEG6zl6wbUkj SD79az/88EOpXbduXQ06xYbYpk0bX2UiXVZW5mzco0cPsSwuLrZVoeThhx/2 /QUO8jgGPvnkk3i+6667dJIE/aEUqimevLw8SbHwt//XsfHYY4/BEqfgY8eO eXXkGqFaFmyJriAT6tFHH3V1JIkugFSs5WfOnHnjjTekSqUxNeIUa4g0MmLE CGfLb775RixHjhxZpQFO67feeqvv7+C0pfZZBzwNpVAd8Rw5cuTuu++WCJcv X+5s/OWXX4rl+PHjvTqq0BAPjpzS/sGDB/1rJdfVEQ82IHVD0rlz5/j4+ISE hGeeeUYdY4FKNqrvdNq0adJCx44dnS+EsenISbBRo0YnTpzwN8BwPPLIIzC4 5557kLM9/vjjKmAkQupcViWehlJhLB6sHghS3L3zzjvOxhcvXrz33nth2aRJ E500PlCcDgbz58+XYJAV+NfefPPNqOrdu7eOr/T0dLlMsIIEVW4CkUyqUa6m UwyxfBxHYwyfc1Qq73377bf9a7HmNG/eHLUdOnRQex967JVXXpHzI2bE1q1b q2zZ01BaMRMPlkERA5g0aZKrvbpq8D+VeIrTwUDdae/YscO/tmHDhqjCcUnT HaY2Qh06dCjO4NhWsD4UFBRItt+sWbMacYqDs3wWC1RhYaFzPMiLkLeI93Pn zvkbIFppDXmOrUolZk899ZT/B70OpRUD8eBcidRd5qDOayOcItWVMjrBU3i2 OB0MMK2kB5YsWWKrKikpkSrNi9MquXDhQtOmTW0riZlTbEDISKUWJyPrrXIg Zs2aJfapqalVGrz88stiUFpaaqvCsi+XUVbZC16H0oZX8WzevLlx48a+yuM2 FlKdj0DP8r2sd+lmcToYYLACnWGxiQealfpgPZdGtm/fXh2nmD4vvfSSVOEE ofM6u7y8XPocaUmgt079+/eXNq3vIBSytmDtshYaDKUNT+JBMiB3FxEREToX pxWV+6nkD8jZ9F9NBorT2aZnz56+yndM1tmHaS7HW2S8WANVOeb7wEqSkpJc vW/ZskX2IJx8q+MUIytHThAZGan5kwn1MmLZsmWBbN59912xwYOtCt/0mmuu 8f390sBgKP3RF8/u3bt9f4EI/1sV/lu/emtjfbFiHKezTUZGhvjq2rVrbm4u RhD9hrOSFCKBsRr/8MMPUu6/mG/atCk7OxtLBJaFzMzM2NhYyTmhBHRCdZyq ezycrdatW1dlH9r2HfUyAh9xuOXLz8+XSQpj6x5aVFQkcsVXWLt2rRSaDaU/ +uLBKudzA8uLrXE59nbq1Mk1Ep04nW2wub/44osqGOvPKhDY4cOHrcYO4lGv Iay0bdvW+jrAzOkTTzzh2oefffaZ9SMDBgyQcnUzGQh1HAOtW7fu06cPZCNr DpgwYYKyNBjKKtEXj0oOHUAPWz+Cc6KUYy67RqITp6sZ5mZycrL1TgYbeq9e vZA22CzV6ySccG1VVvHg4w888ABWEuvuY+y0e/furn2IpUzZHzx4UHIqqM71 u1dU/gZP/RpEgYRnzZo1VjODoayS6lwShhJPEWI08/LycI7OysrSzCuslJWV ff311xjEnJwc/eNhNZ3WIMXFxZitixYtwmJVUFCg/8tAr9RK8ZDQQPEQYyge YgzFQ4yheIgxFA8xhuIhxlA8xBiKhxhD8RBjKB5iDMVDjKF4iDE/EULIFeJK r3+EEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhLjz P3edNBo= "], {{0, 134}, {191, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{95.5, Automatic}, ImageSizeRaw->{191, 134}, PlotRange->{{0, 191}, {0, 134}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.765277777829537*^9, 3.765277790076663*^9}, { 3.7652791267267237`*^9, 3.765279133706538*^9}}, CellLabel->"Out[14]=", CellID->1345742855] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Source & Additional Information", "Section", Deletable->False, CellTags->"Source & Additional Information", CellID->318391102], Cell[CellGroupData[{ Cell[TextData[{ "Contributed By", Cell[BoxData[ TemplateBox[{"Contributed By",Cell[ BoxData[ FrameBox[ Cell[ "Enter the name of the person, people or organization that should be \ publicly credited with contributing this function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoContributedBy"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"Text", CellTags->"Contributed By", CellID->127820888], Cell["Bob Sandheinrich", "Text"] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Keywords", Cell[BoxData[ TemplateBox[{"Keywords",Cell[ BoxData[ FrameBox[ Cell[ "List relevant terms (e.g. functional areas, algorithm names, related \ concepts) that should be used to include the function in search results.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoKeywords"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"Item", CellTags->"Keywords", CellID->547400482], Cell["data", "Item"], Cell["dataset", "Item"], Cell["format", "Item"], Cell["copyable", "Item"], Cell["pretty", "Item"], Cell["table", "Item"] }, Open ]], Cell[CellGroupData[{ Cell["Categories", "Subsection", Deletable->False, DefaultNewCellStyle->"Item", CellTags->"Categories", CellID->749076926], Cell["Notebook Documents & Presentation", "Item"], Cell["Programming Utilities", "Item"] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Related Symbols", Cell[BoxData[ TemplateBox[{"Related Symbols",Cell[ BoxData[ FrameBox[ Cell[ "List up to twenty documented, system-level Wolfram Language symbols \ related to the function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoRelatedSymbols"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"Item", CellTags->"Related Symbols", CellID->161079978], Cell["Dataset", "Item"], Cell["Grid", "Item"] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Related Resource Objects", Cell[BoxData[ TemplateBox[{"Related Resource Objects",Cell[ BoxData[ FrameBox[ Cell[ "List the names of published resource objects from any Wolfram \ repository that are related to this function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoRelatedResourceObjects"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"Item", CellTags->"Related Resource Objects", CellID->588449267], Cell["PrettyForm", "Item"] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Source/Reference Citation", Cell[BoxData[ TemplateBox[{"Source/Reference Citation",Cell[ BoxData[ FrameBox[ Cell[ "Give a bibliographic-style citation for the original source of the \ function and/or its components (e.g. a published paper, algorithm, or code \ repository).", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoSourceReferenceCitation"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"Text", CellTags->"Source/Reference Citation", CellID->642091068], Cell["Source, reference or citation information", "Text", CellEventActions->{Inherited, {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]], PassEventsDown -> False, PassEventsUp -> False}, CellTags->"TabNext", CellID->343081869] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Links", Cell[BoxData[ TemplateBox[{"Links",Cell[ BoxData[ FrameBox[ Cell[ "List additional URLs or hyperlinks for external information related \ to the function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoLinks"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"Item", CellTags->"Links", CellID->521525586], Cell["Link to other related material", "Item", CellEventActions->{Inherited, {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]], PassEventsDown -> False, PassEventsUp -> False}, CellTags->"TabNext", CellID->485448166] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Tests", Cell[BoxData[ TemplateBox[{"Tests",Cell[ BoxData[ FrameBox[ Cell[ "Specify an optional list of tests for verifying that the function is \ working properly in any environment. Tests can be specified as Input/Output \ cell pairs or as symbolic VerificationTest expressions for including \ additional options.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoTests"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Subsection", Deletable->False, DefaultNewCellStyle->"Input", CellTags->"Tests", CellID->74308299], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Head", "[", RowBox[{"DatasetForm", "[", RowBox[{"{", RowBox[{ RowBox[{"<|", RowBox[{"\"\\"", "\[Rule]", "1"}], "|>"}], ",", RowBox[{"<|", RowBox[{"\"\\"", "\[Rule]", "1"}], "|>"}], ",", RowBox[{"<|", RowBox[{"\"\\"", "\[Rule]", "1"}], "|>"}]}], "}"}], "]"}], "]"}]], "Input", CellChangeTimes->{{3.765278289384375*^9, 3.765278336608901*^9}, { 3.765278383941115*^9, 3.765278390699381*^9}, {3.765279186892083*^9, 3.765279187220209*^9}}, CellLabel->"In[16]:=", CellID->667877521], Cell[BoxData[ InterpretationBox[ TagBox[ StyleBox[ StyleBox[ FrameBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->GrayLevel[0.15]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->Rational[10, 13] Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ StyleBox["\<\"DatasetForm\"\>", "ResourceFunctionLabel"], ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited]} }]], "ResourceFunctionFrame"], FrameBoxOptions->{Background->GrayLevel[0.5, 0.15], BaseStyle->{ "StandardForm", LineSpacing -> {0, 0}, LineBreakWithin -> False}, FrameMargins->{{3, 3}, {0, 0}}, FrameStyle->Directive[ GrayLevel[0.5, 0.35], AbsoluteThickness[0.5]], RoundingRadius->4}, GridBoxOptions->{FrameStyle->GrayLevel[1, 0], GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, GridBoxFrame->{"Columns" -> {{True}}, "Rows" -> {{True}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0.25}}, "Rows" -> {-0.1, {}, 0}}}], {"FunctionResourceBox", GrayLevel[0.15], "\"DatasetForm\""}], ResourceFunction["DatasetForm"], Selectable->False]], "Output", CellChangeTimes->{{3.76527830882977*^9, 3.765278337014895*^9}, 3.76527838575322*^9, {3.765279183977881*^9, 3.765279187755907*^9}}, CellLabel->"Out[16]=", CellID->1824868084] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Author Notes", "Section", Deletable->False, DefaultNewCellStyle->"Text", CellTags->"Author Notes", CellID->795110225], Cell["Additional information about limitations, issues, etc.", "Text", CellEventActions->{Inherited, {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]], PassEventsDown -> False, PassEventsUp -> False}, CellTags->"TabNext", CellID->567921317] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Submission Notes", Cell[BoxData[ TemplateBox[{"Submission Notes",Cell[ BoxData[ FrameBox[ Cell[ "Enter any additional information that you would like to communicate \ to the reviewer here. This section will not be included in the published \ resource.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoSubmissionNotes"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]]] }], "Section", Deletable->False, DefaultNewCellStyle->"Text", CellTags->"Submission Notes", CellID->843283583], Cell["Additional information for the reviewer.", "Text", CellEventActions->{Inherited, {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]], PassEventsDown -> False, PassEventsUp -> False}, CellTags->"TabNext", CellID->920818074] }, Open ]] }, WindowSize->Automatic, WindowMargins->Automatic, TaggingRules->{ "ResourceType" -> "Function", "ResourceCreateNotebook" -> True, "TemplateVersion" -> "1.2.19"}, CreateCellID->True, FrontEndVersion->"12.0 for Linux x86 (64-bit) (April 8, 2019)", StyleDefinitions->Notebook[{ Cell[ StyleData[StyleDefinitions -> "Default.nb"]], Cell[ StyleData[All, "Working"], DockedCells -> { Cell[ BoxData[ TemplateBox[{}, "MainGridTemplate"]], "DockedCell", CellMargins -> {{-10, -10}, {-8, -8}}, CellFrame -> 0, CellTags -> {"MainDockedCell"}], Cell[ BoxData[ TemplateBox[{}, "ToolsGridTemplate"]], "DockedCell", TaggingRules -> {"Tools" -> True}, CellTags -> {"ToolbarDockedCell"}, Background -> RGBColor[0.996078, 0.941176, 0.921569], CellFrameMargins -> {{39, 5}, {2, 2}}, CellFrame -> {{0, 0}, {1, 0}}, CellFrameColor -> GrayLevel[0.75], CellOpen -> Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ToolsOpen"}, False]]]}], Cell[ StyleData["Item"], DefaultNewCellStyle -> "Item"], Cell[ StyleData["MoreInfoText", StyleDefinitions -> StyleData["Text"]], FontColor -> GrayLevel[0.25]], Cell[ StyleData["ErrorText", StyleDefinitions -> StyleData["Text"]], ShowCellBracket -> False, CellMargins -> {{66, Inherited}, {10, 10}}, CellElementSpacings -> {"CellMinHeight" -> 0, "ClosedCellHeight" -> 0}, FontWeight -> Bold, FontColor -> RGBColor[1, 0, 0]], Cell[ StyleData["WarningText", StyleDefinitions -> StyleData["Text"]], ShowCellBracket -> False, CellMargins -> {{66, 35}, {0, 0}}, FontSize -> 14, GridBoxOptions -> {BaseStyle -> {}}], Cell[ StyleData["ButtonText"], FontFamily -> "Sans Serif", FontSize -> 11, FontWeight -> Bold, FontColor -> RGBColor[0.458824, 0.458824, 0.458824]], Cell[ StyleData["MoreInfoOpenerIconTemplate"], TemplateBoxOptions -> { DisplayFunction -> (PaneSelectorBox[{False -> GraphicsBox[{ Thickness[0.07142857142857142], StyleBox[{ JoinedCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYCYpfunOe/V2o6MICBjAOM//GSb5KAhKLD46Wz jygUaDjIRKVY3+dXgahzUIPTMHGYOpg+XObKgtSfF4Xze6fnCTUf4Ifr/w8G bHDzn15Quv2z7o89zJ4nIHUbPtnD7IHxYfbA+DB7YPph9sDMh9EwcZg6mD5c 5qLbC3MXTD/M3TDzYf6C2YMrHGD2AAAVXK28 "], CurveClosed -> {1}]}, JoinForm[{"Miter", 3.25}], Thickness[0.049999999999999996`], RGBColor[0.627441, 0.627441, 0.627441, 1.], StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGCQBGIQ/Tcg88iZOhmHGu7Xx3YXKzm03fzoEzpdGs7nS6q6 eve8lMOjwkBdpVlKDtNeMcWlaUg5rLeT+/XumZKDfHH3s3cNkhD1xsoOydvP axnrSjrM0+V9eXcqgi+2tCUhlFcFzu+R+XP9TIsKXD/Y/GcqcPPB6g1V4fZ7 3Ng+uaNGFe4+sPpFqg4w98P4b+wjNu/OlYXzwerN5eD6T8maTZx5Ww7V/Hp5 uP0GLXO+/78oD3cfjA9zP4wP8x9MP8z/MPNh4QOzHxZ+MPfBwhc9/AFZSbHT "], CompressedData[" 1:eJxTTMoPSmViYGCQB2IQLeF07vf/KwoOe35VvNh9m88Bxg+bItQUGsrtcErW bOLMbHEMPky9Qcuc7/8vSjp80F0j/f4cP5xvEy11afdrATjfN0f78Zk/gnC+ thfnwVVSwnC+lOWP9TMtReD8Z6xHa9LMROH8SRvy1QUFxdD4EnA+p8bzeR0a knD+ooMNFkpCUnB+XK3Nl7tnpVDt65RGlfeVQXOfLIQvKe7wQ+xab3k5gn/0 8aIolz9yDinbz2sZ35VzWG8n9+vdKQWIfKK8Qw3362O7pyP4EP3ScD6Kf4B8 FP8C+Q3z48QYLETgfLD7RIXhfHD4fhaE88HueSIA58PiAz1+AUR/638= "]}]}, FaceForm[ RGBColor[0.627441, 0.627441, 0.627441, 1.]], StripOnInput -> False]}, ImageSize -> {14., 14.}, PlotRange -> {{0., 14.}, {0., 14.}}, AspectRatio -> Automatic], True -> GraphicsBox[{ Thickness[0.07142857142857142], StyleBox[{ JoinedCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYCYpfunOe/V2o6MICBjAOM//GSb5KAhKLD46Wz jygUaDjIRKVY3+dXgahzUIPTMHGYOpg+XObKgtSfF4Xze6fnCTUf4Ifr/w8G bHDzn15Quv2z7o89zJ4nIHUbPtnD7IHxYfbA+DB7YPph9sDMh9EwcZg6mD5c 5qLbC3MXTD/M3TDzYf6C2YMrHGD2AAAVXK28 "], CurveClosed -> {1}]}, JoinForm[{"Miter", 3.25}], Thickness[0.049999999999999996`], RGBColor[0.5, 0.5, 0.5, 1.], StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYCYpfunOe/V2o6MICBjAOM//GSb5KAhKLD46Wz jygUaDjIRKVY3+dXgahzUIPTMHGYOpg+XObKgtSfF4Xze6fnCTUf4Ifr/w8G bHDzn15Quv2z7o89zJ4nIHUbPtnD7IHxYfbA+DB7YPph9sDMh9EwcZg6mD5c 5qLbC3MXTD/M3TDzYf6C2YMrHGD2AAAVXK28 "]]}, FaceForm[ RGBColor[0.5, 0.5, 0.5, 1.]], StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGCQBGIQ/Tcg88iZOhmHGu7Xx3YXKzm03fzoEzpdGs7nS6q6 eve8lMOjwkBdpVlKDtNeMcWlaUg5rLeT+/XumZKDfHH3s3cNkhD1xsoOydvP axnrSjrM0+V9eXcqgi+2tCUhlFcFzu+R+XP9TIsKXD/Y/GcqcPPB6g1V4fZ7 3Ng+uaNGFe4+sPpFqg4w98P4b+wjNu/OlYXzwerN5eD6T8maTZx5Ww7V/Hp5 uP0GLXO+/78oD3cfjA9zP4wP8x9MP8z/MPNh4QOzHxZ+MPfBwhc9/AFZSbHT "], CompressedData[" 1:eJxTTMoPSmViYGCQB2IQLeF07vf/KwoOe35VvNh9m88Bxg+bItQUGsrtcErW bOLMbHEMPky9Qcuc7/8vSjp80F0j/f4cP5xvEy11afdrATjfN0f78Zk/gnC+ thfnwVVSwnC+lOWP9TMtReD8Z6xHa9LMROH8SRvy1QUFxdD4EnA+p8bzeR0a knD+ooMNFkpCUnB+XK3Nl7tnpVDt65RGlfeVQXOfLIQvKe7wQ+xab3k5gn/0 8aIolz9yDinbz2sZ35VzWG8n9+vdKQWIfKK8Qw3362O7pyP4EP3ScD6Kf4B8 FP8C+Q3z48QYLETgfLD7RIXhfHD4fhaE88HueSIA58PiAz1+AUR/638= "]}]}, FaceForm[ RGBColor[0.999985, 0.999985, 0.999985, 1.]], StripOnInput -> False]}, ImageSize -> {14., 14.}, PlotRange -> {{0., 14.}, {0., 14.}}, AspectRatio -> Automatic]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0]& )}], Cell[ StyleData["MoreInfoOpenerButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (AdjustmentBox[ ButtonBox[ TemplateBox[{ TemplateBox[{}, "MoreInfoOpenerIconTemplate"], "\"Click for more information\""}, "PrettyTooltipTemplate"], ButtonFunction :> (If[ MatchQ[ CurrentValue[ ButtonNotebook[], {TaggingRules, "AttachedCells", #}], Blank[CellObject]], NotebookDelete[ CurrentValue[ ButtonNotebook[], {TaggingRules, "AttachedCells", #}]]; CurrentValue[ ButtonNotebook[], {TaggingRules, "AttachedCells", #}] = Inherited, CurrentValue[ ButtonNotebook[], {TaggingRules, "AttachedCells", #}] = MathLink`CallFrontEnd[ FrontEnd`AttachCell[ ParentCell[ EvaluationCell[]], #2, "Inline", "ClosingActions" -> {"ParentChanged", "EvaluatorQuit"}]]; Null]; Null), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], BoxBaselineShift -> -0.5, BoxMargins -> 0.2]& )}], Cell[ StyleData["ClickToCopyTemplate"], TemplateBoxOptions -> { DisplayFunction -> (PaneSelectorBox[{False -> TagBox[ GridBox[{{#, ButtonBox[ GraphicsBox[{ GrayLevel[0.85], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, { 9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, {16.5, 4.5}, { 16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, {15.75, 17.25}, { 15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, { 8.25, 18.}}, {{9.75, 17.25}, {12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, { 14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{8.25, 12.}, { 14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], ButtonFunction :> Null, Appearance -> { "Default" -> None, "Hover" -> None, "Pressed" -> None}, Evaluator -> Automatic, Method -> "Preemptive"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], True -> DynamicModuleBox[{ FunctionResourceTools`BuildDefinitionNotebook`Private`clickTime$$ = 0., FunctionResourceTools`BuildDefinitionNotebook`Private`timeout$\ $ = 3.}, TagBox[ GridBox[{{#, TagBox[ ButtonBox[ DynamicBox[ ToBoxes[ Refresh[ If[ AbsoluteTime[] - FunctionResourceTools`BuildDefinitionNotebook`Private`\ clickTime$$ > FunctionResourceTools`BuildDefinitionNotebook`Private`timeout$$, (RawBoxes[ TemplateBox[{ ToBoxes[#], ToBoxes[#2]}, "PrettyTooltipTemplate"]]& )[ Mouseover[ Graphics[{ GrayLevel[0.65], Thickness[2/45], FilledCurve[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurve[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], Graphics[{ RGBColor[0.988235, 0.419608, 0.203922], Thickness[2/45], FilledCurve[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurve[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12]], "Click to copy to the clipboard"], (RawBoxes[ TemplateBox[{ ToBoxes[#], ToBoxes[#2]}, "PrettyTooltipTemplate"]]& )[ Graphics[{ RGBColor[0, 2/3, 0], Thickness[2/45], FilledCurve[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurve[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], "Copied"]], UpdateInterval -> 1, TrackedSymbols :> { FunctionResourceTools`BuildDefinitionNotebook`Private`\ clickTime$$}], StandardForm], Evaluator -> "System"], ButtonFunction :> ( FunctionResourceTools`BuildDefinitionNotebook`Private`\ clickTime$$ = AbsoluteTime[]; CopyToClipboard[#2]), Appearance -> { "Default" -> None, "Hover" -> None, "Pressed" -> None}, Method -> "Queued", Evaluator -> "System"], MouseAppearanceTag["LinkHand"]]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], DynamicModuleValues :> {}]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0]& )}], Cell[ StyleData["PrettyTooltipTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TagBox[ TooltipBox[#, FrameBox[ StyleBox[#2, "Text", FontColor -> RGBColor[0.537255, 0.537255, 0.537255], FontSize -> 12, FontWeight -> "Plain", FontTracking -> "Plain", StripOnInput -> False], Background -> RGBColor[0.960784, 0.960784, 0.960784], FrameStyle -> RGBColor[0.898039, 0.898039, 0.898039], FrameMargins -> 8, StripOnInput -> False], TooltipDelay -> 0.1, TooltipStyle -> {Background -> None, CellFrame -> 0}], Annotation[#, Framed[ Style[ FunctionResourceTools`BuildDefinitionNotebook`Private`$$tooltip, "Text", FontColor -> RGBColor[0.537255, 0.537255, 0.537255], FontSize -> 12, FontWeight -> "Plain", FontTracking -> "Plain"], Background -> RGBColor[0.960784, 0.960784, 0.960784], FrameStyle -> RGBColor[0.898039, 0.898039, 0.898039], FrameMargins -> 8], "Tooltip"]& ]& )}], Cell[ StyleData["ToolsGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TagBox[ GridBox[{{ ButtonBox[ TemplateBox[{ StyleBox[ "\"Template Input\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Format selection automatically using appropriate \ documentation styles\""}, "PrettyTooltipTemplate"], ButtonFunction :> ( Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False}, Symbol["System`ResourceFunction"]]; Identity[ FunctionResource`DocuToolsTemplate`FunctionTemplateToggle[]]), FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], {FontColor -> RGBColor[1, 1, 1]}, { FontColor -> RGBColor[0.92549, 0.498039, 0.235294]}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh9mpryfFAVBQDZcMVzZr9un gFK/H1+BWwFkA0WA4nBlf988A+l9fgvNMUARoDhQFuJaoJYP0xKwOhsoDpRl AANilBFpGvFuI9KnxIcbMbGABrDGKQDn48Vx "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh8mRbxvd4MgIBuuGK7s1+1T 7zs8fvbb/JkCRUA2UAQoDlf2982zDxNDf05AqIGqnGADFAfKQlwL1PKhwx1N DQQBxYGyDGBAjDIiTSPebUT6lPhwIyYWiIlTAA7cjww= "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUu/6wt42OkMQkA1XDFf26/ap t81urxOUXodLQ1GCElAEKA5X9vfNs3c9wa/jFRFqICheESgOlIW4FqjlXYMz uhowAooDZRnAgBhlRJpGvNuI9Cnx4UZMLBATpwBrEHs/ "], "Byte", ColorSpace -> "RGB", Interleaving -> True]}, Background -> RGBColor[0.996078, 0.941176, 0.921569], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], ButtonBox[ TemplateBox[{ StyleBox[ "\"Literal Input\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Format selection as literal Wolfram Language code\""}, "PrettyTooltipTemplate"], ButtonFunction :> ( Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False}, Symbol["System`ResourceFunction"]]; Identity[ FunctionResource`DocuToolsTemplate`\ FunctionTemplateLiteralInput[]]), FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], {FontColor -> RGBColor[1, 1, 1]}, { FontColor -> RGBColor[0.92549, 0.498039, 0.235294]}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh9mpryfFAVBQDZcMVzZr9un gFK/H1+BWwFkA0WA4nBlf988A+l9fgvNMUARoDhQFuJaoJYP0xKwOhsoDpRl AANilBFpGvFuI9KnxIcbMbGABrDGKQDn48Vx "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh8mRbxvd4MgIBuuGK7s1+1T 7zs8fvbb/JkCRUA2UAQoDlf2982zDxNDf05AqIGqnGADFAfKQlwL1PKhwx1N DQQBxYGyDGBAjDIiTSPebUT6lPhwIyYWiIlTAA7cjww= "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUu/6wt42OkMQkA1XDFf26/ap t81urxOUXodLQ1GCElAEKA5X9vfNs3c9wa/jFRFqICheESgOlIW4FqjlXYMz uhowAooDZRnAgBhlRJpGvNuI9Cnx4UZMLBATpwBrEHs/ "], "Byte", ColorSpace -> "RGB", Interleaving -> True]}, Background -> RGBColor[0.996078, 0.941176, 0.921569], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], ButtonBox[ TemplateBox[{ StyleBox[ "\"Insert Delimiter\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Insert example delimiter\""}, "PrettyTooltipTemplate"], ButtonFunction :> ( Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False}, Symbol["System`ResourceFunction"]]; Identity[ FunctionResource`DocuToolsTemplate`DocDelimiter[]]), FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], {FontColor -> RGBColor[1, 1, 1]}, { FontColor -> RGBColor[0.92549, 0.498039, 0.235294]}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh9mpryfFAVBQDZcMVzZr9un gFK/H1+BWwFkA0WA4nBlf988A+l9fgvNMUARoDhQFuJaoJYP0xKwOhsoDpRl AANilBFpGvFuI9KnxIcbMbGABrDGKQDn48Vx "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh8mRbxvd4MgIBuuGK7s1+1T 7zs8fvbb/JkCRUA2UAQoDlf2982zDxNDf05AqIGqnGADFAfKQlwL1PKhwx1N DQQBxYGyDGBAjDIiTSPebUT6lPhwIyYWiIlTAA7cjww= "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUu/6wt42OkMQkA1XDFf26/ap t81urxOUXodLQ1GCElAEKA5X9vfNs3c9wa/jFRFqICheESgOlIW4FqjlXYMz uhowAooDZRnAgBhlRJpGvNuI9Cnx4UZMLBATpwBrEHs/ "], "Byte", ColorSpace -> "RGB", Interleaving -> True]}, Background -> RGBColor[0.996078, 0.941176, 0.921569], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], ButtonBox[ TemplateBox[{ StyleBox[ "\"Subscripted Variable\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Insert subscripted variable placeholder\""}, "PrettyTooltipTemplate"], ButtonFunction :> ( Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False}, Symbol["System`ResourceFunction"]]; Identity[ FunctionResource`DocuToolsTemplate`InsertSubscript[]]), FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], {FontColor -> RGBColor[1, 1, 1]}, { FontColor -> RGBColor[0.92549, 0.498039, 0.235294]}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh9mpryfFAVBQDZcMVzZr9un gFK/H1+BWwFkA0WA4nBlf988A+l9fgvNMUARoDhQFuJaoJYP0xKwOhsoDpRl AANilBFpGvFuI9KnxIcbMbGABrDGKQDn48Vx "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh8mRbxvd4MgIBuuGK7s1+1T 7zs8fvbb/JkCRUA2UAQoDlf2982zDxNDf05AqIGqnGADFAfKQlwL1PKhwx1N DQQBxYGyDGBAjDIiTSPebUT6lPhwIyYWiIlTAA7cjww= "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUu/6wt42OkMQkA1XDFf26/ap t81urxOUXodLQ1GCElAEKA5X9vfNs3c9wa/jFRFqICheESgOlIW4FqjlXYMz uhowAooDZRnAgBhlRJpGvNuI9Cnx4UZMLBATpwBrEHs/ "], "Byte", ColorSpace -> "RGB", Interleaving -> True]}, Background -> RGBColor[0.996078, 0.941176, 0.921569], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], ActionMenuBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Tables\[ThinSpace]\[ThinSpace]\[ThinSpace]\ \[FilledDownTriangle]\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Table Functions\""}, "PrettyTooltipTemplate"], ButtonFunction :> ( Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False}, Symbol["System`ResourceFunction"]]; FunctionResource`DefinitionNotebook`Private`showProgress[Null]), FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], {FontColor -> RGBColor[1, 1, 1]}, { FontColor -> RGBColor[0.92549, 0.498039, 0.235294]}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh9mpryfFAVBQDZcMVzZr9un gFK/H1+BWwFkA0WA4nBlf988A+l9fgvNMUARoDhQFuJaoJYP0xKwOhsoDpRl AANilBFpGvFuI9KnxIcbMbGABrDGKQDn48Vx "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh8mRbxvd4MgIBuuGK7s1+1T 7zs8fvbb/JkCRUA2UAQoDlf2982zDxNDf05AqIGqnGADFAfKQlwL1PKhwx1N DQQBxYGyDGBAjDIiTSPebUT6lPhwIyYWiIlTAA7cjww= "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUu/6wt42OkMQkA1XDFf26/ap t81urxOUXodLQ1GCElAEKA5X9vfNs3c9wa/jFRFqICheESgOlIW4FqjlXYMz uhowAooDZRnAgBhlRJpGvNuI9Cnx4UZMLBATpwBrEHs/ "], "Byte", ColorSpace -> "RGB", Interleaving -> True]}, Background -> RGBColor[0.996078, 0.941176, 0.921569], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], { "\"Insert table with two columns\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DocuToolsTemplate`TableInsert[2]]", InputForm], "\"Insert table with three columns\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DocuToolsTemplate`TableInsert[3]]", InputForm], "\"Add a row to the selected table\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ System`FrontEndExecute[{System`FrontEndToken[System`ButtonNotebook[], \ \"NewRow\"]}]]", InputForm], "\"Sort the selected table\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DocuToolsTemplate`TableSort[]]", InputForm], "\"Merge selected tables\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DocuToolsTemplate`TableMerge[]]", InputForm]}, Appearance -> None, Method -> "Queued"], DynamicBox[ ToBoxes[ If[ CurrentValue[ EvaluationNotebook[], { TaggingRules, "SubmissionReviewData", "Review"}, False], Button[ RawBoxes[ TemplateBox[{ StyleBox[ "\"Insert Comment\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Insert comment for reviewer\""}, "PrettyTooltipTemplate"]], Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False}, Symbol["System`ResourceFunction"]]; Identity[ FunctionResource`DocuToolsTemplate`InsertComment[]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> RGBColor[1, 1, 1]}, { FontColor -> RGBColor[0.92549, 0.498039, 0.235294]}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh9mpryfFAVBQDZcMVzZr9un gFK/H1+BWwFkA0WA4nBlf988A+l9fgvNMUARoDhQFuJaoJYP0xKwOhsoDpRl AANilBFpGvFuI9KnxIcbMbGABrDGKQDn48Vx "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUh8mRbxvd4MgIBuuGK7s1+1T 7zs8fvbb/JkCRUA2UAQoDlf2982zDxNDf05AqIGqnGADFAfKQlwL1PKhwx1N DQQBxYGyDGBAjDIiTSPebUT6lPhwIyYWiIlTAA7cjww= "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQ/PvwGo5+3zsPQciCyMqAUu/6wt42OkMQkA1XDFf26/ap t81urxOUXodLQ1GCElAEKA5X9vfNs3c9wa/jFRFqICheESgOlIW4FqjlXYMz uhowAooDZRnAgBhlRJpGvNuI9Cnx4UZMLBATpwBrEHs/ "], "Byte", ColorSpace -> "RGB", Interleaving -> True]}, Background -> RGBColor[0.996078, 0.941176, 0.921569], Method -> "Queued", ImageSize -> {All, 20}], ""], StandardForm], Evaluator -> "System", SingleEvaluation -> True], ItemBox["\"\"", ItemSize -> Fit, StripOnInput -> False]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxBackground -> {"Columns" -> {{None}}, "Rows" -> { RGBColor[0.996078, 0.941176, 0.921569]}}, GridBoxFrame -> { "Columns" -> False, "RowsIndexed" -> {1 -> RGBColor[0.996078, 0.941176, 0.921569]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "ColumnsIndexed" -> {1 -> 0, -1 -> 0}, "Rows" -> {{Automatic}}}, FrameStyle -> GrayLevel[0.75]], "Grid"]& )}], Cell[ StyleData["MainGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.022222222222222223`], { FaceForm[{ RGBColor[0.87451, 0.278431, 0.03137260000000001], Opacity[1.]}], FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{45., 22.5}, {45., 10.073999999999998`}, {34.926, 0.}, {22.5, 0.}, {10.074, 0.}, {0., 10.073999999999998`}, { 0., 22.5}, {0., 34.926}, {10.074, 45.}, {22.5, 45.}, { 34.926, 45.}, {45., 34.926}, {45., 22.5}}}]}, { FaceForm[{ RGBColor[1., 1., 1.], Opacity[1.]}], FilledCurveBox[{{{0, 2, 0}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGAwAWIQLcESxqe7SdlhqnN3zvPblg4w/omyffOl/K0cEp9e ULq9U9lhT8lkCZZrVg6VL9UMOd4oO1SLrHN/GGXtcKUCKOCh4sDDpN0udtPa 4fnvlR8v8ao6ZIE12ELMrVZzmAIymNfOAWj43PfpGg45YIV2Dguk9O+qsGlB 9M+0h9gjpgOxh8fBYePc98uPees5MICAggNE/TF9B6Bl574rO0DcMcsAwmd2 cNCM6T/0VcPQAeQsjh6oeWWGEPt97R3UDTnWyMwyhKh7Yefw5S/QB22GEHe1 2zlIg5yTaAh3by7InUKGDmBnLrR1cOkGudzAYZHrts9/Q2wdHi+dfUShwMBh Q1HGxLcytg5BO+RaXwsaQN1r6/BdA2jRVn1oeNk6aIEcWq4HcccvWwfTuF2e PEy6UPPtHIC+CH68VBvOP70QaNFeLTg/T6j5wKlELYdPl3yTBCLsIOGkowVx 71tbhycg93zQdAjonZ4ndNgGzgern2ENVw90TZVInhUkfqy1IO65ZQl3L4wP iW99B/NOx4SnEyzh4Q+W32XhcBUc0PoQd7dawM1D568H2cdnCOd/A9nzVc/h I9hdWg4ZoIg6oueQD/Kfoh40nSD4fkDfWpboQOw7oYDBh6mHxIcy3DxYek4A peOfCD7MPTA+zL0yUSnW9/sV4Hxw/DgpQOL7igUkfi8qwsMHAHSDTZ8= "], {{19.051000000000002`, 14.242}, {19.051000000000002`, 27.594}, {23.828, 27.594}, {23.828, 26.543}, {21.426, 26.308999999999997`}, {21.375, 26.258000000000003`}, { 21.375, 24.219}, {21.375, 17.535000000000004`}, {21.375, 15.602}, {21.426, 15.547}, {23.828, 15.315999999999999`}, {23.828, 14.242}}, {{24.578, 18.75}, {24.578, 23.078000000000003`}, {24.578, 23.539}, { 24.953, 23.914}, {25.418, 23.91}, {29.746, 23.91}, { 30.203, 23.91}, {30.578, 23.539}, {30.578, 23.078000000000003`}, {30.578, 18.75}, { 30.581999999999997`, 18.288999999999998`}, {30.207, 17.91}, {29.746, 17.91}, {25.418, 17.91}, {24.953, 17.906}, {24.574, 18.285}, {24.578, 18.75}}, {{31.328, 14.242}, {31.328, 15.315999999999999`}, {33.684, 15.539000000000001`}, {33.789, 15.602}, {33.789, 17.641}, {33.789, 24.188}, {33.789, 26.227}, {33.684, 26.281}, {31.328, 26.512000000000004`}, {31.328, 27.586}, {36.113, 27.586}, {36.113, 14.234000000000002`}}}]}}, { ImageSize -> {Automatic, 32}, ImagePadding -> {{5, 0}, {0, 0}}, BaselinePosition -> Scaled[0.25], Background -> RGBColor[0.988235, 0.419608, 0.203922], AspectRatio -> Automatic, ImageSize -> {45., 45.}, PlotRange -> {{0., 45.}, {0., 45.}}}], StyleBox[ TagBox[ GridBox[{{ StyleBox[ "\"Function Resource\"", FontFamily -> "Source Sans Pro SemiBold", FontWeight -> "SemiBold", StripOnInput -> False], StyleBox[ "\"DEFINITION NOTEBOOK\"", FontFamily -> "Source Sans Pro", FontTracking -> "SemiCondensed", FontVariations -> {"CapsType" -> "AllSmallCaps"}, StripOnInput -> False]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "ColumnsIndexed" -> {2 -> GrayLevel[1]}, "Rows" -> {{None}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], FontSize -> 24, FontColor -> GrayLevel[1], StripOnInput -> False]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", ItemBox[ TemplateBox[{ StyleBox[ "\"Function Repository \[RightGuillemet] \"", "Text", FontColor -> GrayLevel[1], StripOnInput -> False], "https://resources.wolframcloud.com/FunctionRepository/"}, "HyperlinkURL"], Alignment -> {Right, Bottom}, StripOnInput -> False]}, { TemplateBox[{ TemplateBox[{ "\"Open Sample\"", "\"View a completed sample definition notebook\""}, "PrettyTooltipTemplate"], FunctionResource`DefinitionNotebook`Private`viewExampleNotebook[]\ & , "\"View a completed sample definition notebook\"", True}, "OrangeButtonTemplate"], TemplateBox[{ TemplateBox[{ "\"Style Guidelines\"", "\"View general guidelines for authoring resource \ functions\""}, "PrettyTooltipTemplate"], FunctionResource`DefinitionNotebook`Private`viewStyleGuidelines[]\ & , "\"View general guidelines for authoring resource functions\"", True}, "OrangeButtonTemplate"], TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{"\"Tools\"", PaneSelectorBox[{False -> GraphicsBox[{ GrayLevel[1], AbsoluteThickness[1], LineBox[{{-1, -1}, {-1, 1}, {1, 1}, {1, -1}, {-1, -1}}], LineBox[{{0., 0.65}, {0., -0.65}}], LineBox[{{-0.65, 0.}, {0.65, 0.}}]}, ImageSize -> 12, PlotRangePadding -> None, Background -> None], True -> GraphicsBox[{ GrayLevel[1], AbsoluteThickness[1], LineBox[{{-1, -1}, {-1, 1}, {1, 1}, {1, -1}, {-1, -1}}], LineBox[{{-0.65, 0.}, {0.65, 0.}}]}, ImageSize -> 12, PlotRangePadding -> None, Background -> None]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ToolsOpen"}, True]], BaselinePosition -> Scaled[0.1]]}}, GridBoxAlignment -> { "Columns" -> {{Automatic}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.35}}}], "Grid"], "\"Toggle documentation toolbar\""}, "PrettyTooltipTemplate"], FunctionResource`DefinitionNotebook`Private`getResource[ ButtonNotebook[], "Tools"]& , "\"Toggle documentation toolbar\"", False}, "OrangeButtonTemplate"], TagBox[ GridBox[{{"\"\"", "\"\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxDividers -> { "ColumnsIndexed" -> {2 -> True}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{Automatic}}, "Rows" -> {{2}}}, GridBoxSpacings -> {"Columns" -> {{0.5}}}, FrameStyle -> RGBColor[0.994118, 0.709804, 0.601961]], "Grid"], TemplateBox[{ TemplateBox[{ "\"Check\"", "\"Check notebook for potential errors\""}, "PrettyTooltipTemplate"], FunctionResource`DefinitionNotebook`Private`checkNotebook[ ButtonNotebook[]]& , "\"Check notebook for potential errors\"", True}, "OrangeButtonTemplate"], ActionMenuBox[ TemplateBox[{ "\"Preview \[FilledDownTriangle]\"", Null& , "\"\"", True}, "OrangeButtonTemplate"], { "\"In a notebook\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DefinitionNotebook`Private`getResource[System`ButtonNotebook[\ ], \"Preview\"]]", InputForm], "\"On the cloud\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DefinitionNotebook`Private`getResource[System`ButtonNotebook[\ ], \"Cloud\"]]", InputForm]}, Appearance -> None, Method -> "Queued"], ActionMenuBox[ TemplateBox[{ "\"Deploy \[FilledDownTriangle]\"", Null& , "\"\"", True}, "OrangeButtonTemplate"], { "\"Locally on this computer\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DefinitionNotebook`Private`getResource[System`ButtonNotebook[\ ], \"Local\"]]", InputForm], "\"For my cloud account\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DefinitionNotebook`Private`getResource[System`ButtonNotebook[\ ], \"Cloud\"]]", InputForm], "\"Publicly in the cloud\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DefinitionNotebook`Private`getResource[System`ButtonNotebook[\ ], \"CloudPublic\"]]", InputForm], "\"In this session only (without documentation)\"" :> ToExpression[ "System`Block[{ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = System`False}, \ System`Symbol[\"System`ResourceFunction\"]; \ FunctionResource`DefinitionNotebook`Private`getResource[System`ButtonNotebook[\ ], \"KernelSession\"]]", InputForm]}, Appearance -> None, Method -> "Queued"], ItemBox[ StyleBox[ DynamicBox[ ToBoxes[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "StatusMessage"}, ""], StandardForm], Evaluator -> "System", Initialization :> (CurrentValue[ EvaluationNotebook[], {TaggingRules, "StatusMessage"}] = "")], "Text", GrayLevel[1], StripOnInput -> False], ItemSize -> Fit, StripOnInput -> False], DynamicBox[ ToBoxes[ If[ CurrentValue[ EvaluationNotebook[], { TaggingRules, "SubmissionReviewData", "Review"}, False], RawBoxes[ TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.06349206349206349], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBWIWIGZigIEX9mCqQd8Bwv+Bnc/A54CiHs5HV6/ngJUP p2HmwdTp4FCHTvOhqYfZrw2lhdDk0fno6tHcD1PPwOSAnY+uns8BAE8cGz4= "]]}, FaceForm[ RGBColor[0.960784, 0.705882, 0.498039, 1.]], StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgB2IWIGZigAEJBwjNB6EblHHwX9ijqofxoeoYhKC0Bg4+ Hw4apk4Uap8aDr4QDhqqDu4uVRx8URw0TJ001D5lHHwJHDRUHYMclFbCwZfG QUPVNSjgp+HmIWgAG/wcEg== "]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJx10EEKgCAQhWGpFtEyEAYGggQj6RKeoSMErbuCR0/IWfTgCcPwy7fR9XrO u3fOTXWGOp2zM+ZvH2170nv+e2sFH0ijt45/XxJp9NgRPHYAb63kHhu9tf2H eU8aPfbS9kxawAvxnrSCx3c3XzbS6JX4RFrAS34B53ckaw== "]]}, FaceForm[ RGBColor[1., 1., 1., 1.]], StripOnInput -> False]}, ImageSize -> 15, PlotRange -> {{0., 15.75}, {0., 16.5}}, AspectRatio -> 1.15], "\"Submit Update\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{0}}, "ColumnsIndexed" -> {2 -> 0.5}, "Rows" -> {{0}}}], "Grid"], "\"Submit changes to update your resource submission\""}, "PrettyTooltipTemplate"], FunctionResource`DefinitionNotebook`Private`\ submitRepositoryUpdate[ ButtonNotebook[]]& , "\"Submit changes to update your resource submission\"", True}, "OrangeButtonTemplate"]], RawBoxes[ TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.06349206349206349], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBWIWIGZigIEX9mCqQd8Bwv+Bnc/A54CiHs5HV6/ngJUP p2HmwdTp4FCHTvOhqYfZrw2lhdDk0fno6tHcD1PPwOSAnY+uns8BAE8cGz4= "]]}, FaceForm[ RGBColor[0.960784, 0.705882, 0.498039, 1.]], StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgB2IWIGZigAEJBwjNB6EblHHwX9ijqofxoeoYhKC0Bg4+ Hw4apk4Uap8aDr4QDhqqDu4uVRx8URw0TJ001D5lHHwJHDRUHYMclFbCwZfG QUPVNSjgp+HmIWgAG/wcEg== "]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJx10EEKgCAQhWGpFtEyEAYGggQj6RKeoSMErbuCR0/IWfTgCcPwy7fR9XrO u3fOTXWGOp2zM+ZvH2170nv+e2sFH0ijt45/XxJp9NgRPHYAb63kHhu9tf2H eU8aPfbS9kxawAvxnrSCx3c3XzbS6JX4RFrAS34B53ckaw== "]]}, FaceForm[ RGBColor[1., 1., 1., 1.]], StripOnInput -> False]}, ImageSize -> 15, PlotRange -> {{0., 15.75}, {0., 16.5}}, AspectRatio -> 1.15], "\"Submit to Repository\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{0}}, "ColumnsIndexed" -> {2 -> 0.5}, "Rows" -> {{0}}}], "Grid"], "\"Submit your function to the Wolfram Function Repository\ \""}, "PrettyTooltipTemplate"], FunctionResource`DefinitionNotebook`Private`submitRepository[ ButtonNotebook[]]& , "\"Submit your function to the Wolfram Function \ Repository\"", True}, "OrangeButtonTemplate"]]], StandardForm], Evaluator -> "System", SingleEvaluation -> True]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxBackground -> {"Columns" -> {{None}}, "Rows" -> { RGBColor[0.988235, 0.419608, 0.203922], RGBColor[0.921569, 0.341176, 0.105882]}}, GridBoxFrame -> { "Columns" -> False, "RowsIndexed" -> { 1 -> RGBColor[0.988235, 0.419608, 0.203922], 2 -> RGBColor[0.921569, 0.341176, 0.105882]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {5, {0.9}, 5}, "RowsIndexed" -> {1 -> 1.1, 2 -> 1.3, 3 -> 1.55}}, FrameStyle -> RGBColor[0.988235, 0.419608, 0.203922]], "Grid"]& )}], Cell[ StyleData["ReviewerCommentLabelTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TagBox[ GridBox[{{#, TemplateBox[{ GraphicsBox[{ Thickness[0.022222222222222223`], { FaceForm[{ RGBColor[0.87451, 0.278431, 0.03137260000000001], Opacity[1.]}], FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{45., 22.5}, {45., 10.073999999999998`}, {34.926, 0.}, {22.5, 0.}, {10.074, 0.}, {0., 10.073999999999998`}, { 0., 22.5}, {0., 34.926}, {10.074, 45.}, {22.5, 45.}, {34.926, 45.}, {45., 34.926}, {45., 22.5}}}]}, { FaceForm[{ RGBColor[1., 1., 1.], Opacity[1.]}], FilledCurveBox[{{{0, 2, 0}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, { 1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, { 1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, { 0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGAwAWIQLcESxqe7SdlhqnN3zvPblg4w/omyffOl/K0cEp9e ULq9U9lhT8lkCZZrVg6VL9UMOd4oO1SLrHN/GGXtcKUCKOCh4sDDpN0udtPa 4fnvlR8v8ao6ZIE12ELMrVZzmAIymNfOAWj43PfpGg45YIV2Dguk9O+qsGlB 9M+0h9gjpgOxh8fBYePc98uPees5MICAggNE/TF9B6Bl574rO0DcMcsAwmd2 cNCM6T/0VcPQAeQsjh6oeWWGEPt97R3UDTnWyMwyhKh7Yefw5S/QB22GEHe1 2zlIg5yTaAh3by7InUKGDmBnLrR1cOkGudzAYZHrts9/Q2wdHi+dfUShwMBh Q1HGxLcytg5BO+RaXwsaQN1r6/BdA2jRVn1oeNk6aIEcWq4HcccvWwfTuF2e PEy6UPPtHIC+CH68VBvOP70QaNFeLTg/T6j5wKlELYdPl3yTBCLsIOGkowVx 71tbhycg93zQdAjonZ4ndNgGzgern2ENVw90TZVInhUkfqy1IO65ZQl3L4wP iW99B/NOx4SnEyzh4Q+W32XhcBUc0PoQd7dawM1D568H2cdnCOd/A9nzVc/h I9hdWg4ZoIg6oueQD/Kfoh40nSD4fkDfWpboQOw7oYDBh6mHxIcy3DxYek4A peOfCD7MPTA+zL0yUSnW9/sV4Hxw/DgpQOL7igUkfi8qwsMHAHSDTZ8= "], {{19.051000000000002`, 14.242}, {19.051000000000002`, 27.594}, {23.828, 27.594}, {23.828, 26.543}, {21.426, 26.308999999999997`}, {21.375, 26.258000000000003`}, { 21.375, 24.219}, {21.375, 17.535000000000004`}, {21.375, 15.602}, {21.426, 15.547}, {23.828, 15.315999999999999`}, { 23.828, 14.242}}, {{24.578, 18.75}, {24.578, 23.078000000000003`}, {24.578, 23.539}, {24.953, 23.914}, { 25.418, 23.91}, {29.746, 23.91}, {30.203, 23.91}, {30.578, 23.539}, {30.578, 23.078000000000003`}, {30.578, 18.75}, { 30.581999999999997`, 18.288999999999998`}, {30.207, 17.91}, {29.746, 17.91}, {25.418, 17.91}, {24.953, 17.906}, {24.574, 18.285}, {24.578, 18.75}}, {{31.328, 14.242}, {31.328, 15.315999999999999`}, {33.684, 15.539000000000001`}, {33.789, 15.602}, {33.789, 17.641}, { 33.789, 24.188}, {33.789, 26.227}, {33.684, 26.281}, { 31.328, 26.512000000000004`}, {31.328, 27.586}, {36.113, 27.586}, {36.113, 14.234000000000002`}}}]}}, { ImageSize -> 12, Background -> None, AspectRatio -> Automatic, ImageSize -> {45., 45.}, PlotRange -> {{0., 45.}, {0., 45.}}}], "Wolfram Function Repository Reviewer"}, "PrettyTooltipTemplate"]}}, GridBoxAlignment -> { "Columns" -> {{Automatic}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.25}}}], "Grid"]& )}], Cell[ StyleData["CommentCellLabelTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ TagBox[ GridBox[{{ StyleBox[#, FontSize -> 11]}, { StyleBox[ DynamicBox[ ToBoxes[ DateString[ TimeZoneConvert[ DateObject[#2, TimeZone -> 0]], { "Month", "/", "Day", "/", "Year", " ", "Hour24", ":", "Minute"}], StandardForm], SingleEvaluation -> True], FontSize -> 9]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{Automatic}}, "Rows" -> {{0}}}], "Grid"], "CommentLabel", ShowStringCharacters -> False]& )}], Cell[ StyleData["OrangeButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (ButtonBox[ StyleBox[#, "Text", FontFamily -> "Source Sans Pro SemiBold", FontWeight -> "SemiBold", FontTracking -> -0.9, FontSize -> 13, FontColor -> GrayLevel[1], StripOnInput -> False], ButtonFunction :> Block[{ResourceSystemClient`$AsyncronousResourceInformationUpdates = False}, Symbol["System`ResourceFunction"]; If[ TrueQ[#4], CurrentValue[ ButtonNotebook[], {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; FunctionResource`DefinitionNotebook`Private`showProgress, Identity][ #2[]]], FrameMargins -> {{5, 5}, {0, 0}}, Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQvA6XhqPngeIQhCyIrAwodd2K5Yo5IwQB2XDFcGXPA8Wu WjBdNmVARkARoDhCWZjUdUsWNDUQBBQHykJcC9RyxRzdKAgCigNlGcCAGGVE mka824j1KdHhRkwsEBOnAMp0Eag= "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQvA6XhqMHARIQhCyIrAwotdGIa7UuOwQB2XDFcGX3/MXX 6LEv12ZDRkARoDhc2ctQqQ1GnGhqIAgoDpSFuBarUcgGMoABMcqINI14txHp U+LDjZhYICZOAZ5bBHA= "], "Byte", ColorSpace -> "RGB", Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UJAXikHs/xgAqyAQvA6XhqN3hfYQhCyIrAwo9e36ma8PbkIQkA1XDFf2vtzt 28Obu6Jsl2uzQRCQDRQBisOVvYlR+nr99I5gU7gaCAKKAMWBshDXArV8vnUR TQ0EAcWBsgxgQIwyIk0j3m1E+pT4cCMmFoiJUwBDsjmM "], "Byte", ColorSpace -> "RGB", Interleaving -> True]}, Background -> RGBColor[0.921569, 0.341176, 0.105882], Method -> "Queued", ImageSize -> {All, 23}, Evaluator -> Automatic]& )}], Cell[ StyleData["SuggestionGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ FrameBox[ AdjustmentBox[ TagBox[ GridBox[{{ TemplateBox[{#2, #3, {16., 16.}, {{1., 17.}, {1., 17.}}}, "SuggestionIconTemplate"], #, AdjustmentBox[ TemplateBox[{ ActionMenuBox[ TagBox[ PaneSelectorBox[{False -> GraphicsBox[{ EdgeForm[ Directive[ GrayLevel[1, 0], Thickness[0.025]]], FaceForm[#4], RectangleBox[{-1.75, -2}, {1.75, 2}, RoundingRadius -> 0.2], Thickness[0.15], #5, LineBox[{{-0.5, -1.}, {0.5, 0.}, {-0.5, 1.}}]}, ImageSize -> {Automatic, 15}, ImageMargins -> 0], True -> GraphicsBox[{ EdgeForm[ Directive[#5, Thickness[0.025]]], FaceForm[#2], RectangleBox[{-1.75, -2}, {1.75, 2}, RoundingRadius -> 0.2], Thickness[0.15], GrayLevel[1], LineBox[{{-0.5, -1.}, {0.5, 0.}, {-0.5, 1.}}]}, ImageSize -> {Automatic, 15}, ImageMargins -> 0]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0], MouseAppearanceTag["LinkHand"]], #6, Appearance -> None, Method -> "Queued"], "\"View suggestions\""}, "PrettyTooltipTemplate"], BoxBaselineShift -> -0.3]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {Automatic, Automatic, Fit}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], BoxMargins -> {{0.25, -1.}, {0.15, -0.15}}], RoundingRadius -> {13, 75}, Background -> #4, FrameStyle -> None, FrameMargins -> {{0, 0}, {0, 0}}, ImageMargins -> {{0, 0}, {5, 5}}, StripOnInput -> False], "Text", FontColor -> #5, FontSize -> 14, FontFamily -> "Source Sans Pro SemiBold", FontWeight -> "SemiBold", FontTracking -> "Plain", PrivateFontOptions -> {"OperatorSubstitution" -> False}, LineBreakWithin -> False]& )}], Cell[ StyleData["SuggestionIconTemplate"], TemplateBoxOptions -> {DisplayFunction -> (GraphicsBox[{ Thickness[0.05555555555555555], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGZigIIGAwcIQ8kBxk94ekHp9k9Vh4qXaoYcOfoO m+a+X37stKZDbP+hrxpzdOA0TBymDqYPl7n2pnG7PHlk4PzZRxQ2FGWIwPWD jI3p54WbLxuVYn3fnwluD8S8H/Yo9gD5KPYA+TB7YPph9sDMh9EwcZg6FPdh MRfdXpi7YPph7oaZD/MXzB5c4QCzBwA8nn+Z "]]}, FaceForm[#]], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{8.175292500000001, 7.416875}, {7.796855000000001, 11.3084375}, {7.796855000000001, 13.38}, {10.11998, 13.38}, {10.11998, 11.3084375}, { 9.741542500000001, 7.416875}, {8.175292500000001, 7.416875}}, CompressedData[" 1:eJxTTMoPSmViYGCQBGIQ/cTvZcLf/4oOD6tE1rk/5HNQjDzAkqeL4FsusdsW 1KjgwAAGAg7hCSdehX2Xd5BvfR24Q07QwaZCOJPjjZyDHdf1xQW2Qg56LJYa iWlyDv2HvmrEzBeG80GmVbmIwvkvtjT6Sb8Qg+t/BLLPUwJuPti6DEm4/WD7 2qTg7gMZJyIm7QBzP4y/zEVob88lJTi/7+dk7hV1ynD9c3LzfPxZVODmr3ro 0futUwVu/0bpbbqnzqjA3Qfjw9wP48P8B9MP8z/MfFj4wOyHhR/MfbDwRQ9/ ACBxmlc= "]}]}, FaceForm[#2]]}, ImageSize -> #3, PlotRange -> #4, AspectRatio -> Automatic, BaselinePosition -> Scaled[0.1]]& )}], Cell[ StyleData["UsageInputs", StyleDefinitions -> StyleData["Input"]], CellMargins -> {{66, 10}, {0, 8}}, StyleKeyMapping -> {"Tab" -> "UsageDescription"}, Evaluatable -> False, CellEventActions -> { "ReturnKeyDown" :> With[{FunctionResourceTools`BuildDefinitionNotebook`Private`nb = Notebooks[ EvaluationCell[]]}, SelectionMove[ EvaluationCell[], After, Cell]; NotebookWrite[ FunctionResourceTools`BuildDefinitionNotebook`Private`nb, Cell["", "UsageDescription"], All]; SelectionMove[ FunctionResourceTools`BuildDefinitionNotebook`Private`nb, Before, CellContents]; Null], {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]]}, ShowAutoStyles -> False, ShowCodeAssist -> False, CodeAssistOptions -> {"DynamicHighlighting" -> False}, LineSpacing -> {1, 3}, TabSpacings -> {2.5}, CounterIncrements -> "Text", FontFamily -> "Source Sans Pro", FontSize -> 15, FontWeight -> "Plain"], Cell[ StyleData["UsageDescription", StyleDefinitions -> StyleData["Text"]], CellMargins -> {{86, 10}, {7, 0}}, StyleKeyMapping -> {"Backspace" -> "UsageInputs"}, CellGroupingRules -> "OutputGrouping", CellEventActions -> { "ReturnKeyDown" :> With[{FunctionResourceTools`BuildDefinitionNotebook`Private`nb = Notebooks[ EvaluationCell[]]}, SelectionMove[ EvaluationCell[], After, Cell]; NotebookWrite[ FunctionResourceTools`BuildDefinitionNotebook`Private`nb, Cell[ BoxData[""], "UsageInputs"], All]; SelectionMove[ FunctionResourceTools`BuildDefinitionNotebook`Private`nb, Before, CellContents]; Null], {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]]}, ShowAutoSpellCheck -> False], Cell[ StyleData["Notes", StyleDefinitions -> StyleData["Item"]], StyleKeyMapping -> {}, DefaultNewCellStyle -> "Notes", ShowAutoSpellCheck -> False, GridBoxOptions -> {BaseStyle -> "TableNotes"}], Cell[ StyleData["TableNotes", StyleDefinitions -> StyleData["Notes"]], CellDingbat -> None, CellFrameColor -> RGBColor[0.749, 0.694, 0.553], StyleMenuListing -> None, ButtonBoxOptions -> {Appearance -> {Automatic, None}}, GridBoxOptions -> { FrameStyle -> GrayLevel[0.906], GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxDividers -> {"Columns" -> {{None}}, "Rows" -> {{True}}}, GridDefaultElement -> Cell["\[Placeholder]", "TableText"]}], Cell[ StyleData["TableText"], DefaultInlineFormatType -> "DefaultInputInlineFormatType", AutoQuoteCharacters -> {}, StyleMenuListing -> None], Cell[ StyleData["Hyperlink"], FontColor -> RGBColor[0.921569, 0.341176, 0.105882]], Cell[ StyleData["HyperlinkActive"], FontColor -> RGBColor[0.614379, 0.227451, 0.0705882]], Cell[ StyleData["InlineFormula"], FontSize -> 0.99 Inherited], Cell[ StyleData["ExampleDelimiter"], Selectable -> False, ShowCellBracket -> Automatic, CellMargins -> {{66, 14}, {5, 10}}, Evaluatable -> True, CellGroupingRules -> {"SectionGrouping", 58}, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False, CellLabelAutoDelete -> True, TabFilling -> "\[LongDash]\[NegativeThickSpace]", TabSpacings -> {100}, StyleMenuListing -> None, FontFamily -> "Verdana", FontWeight -> Bold, FontSlant -> "Plain", FontColor -> GrayLevel[0.905882]], Cell[ StyleData["ExampleText", StyleDefinitions -> StyleData["Text"]]], Cell[ StyleData["PageBreak", StyleDefinitions -> StyleData["ExampleDelimiter"]], Selectable -> False, CellFrame -> {{0, 0}, {1, 0}}, CellMargins -> {{66, 14}, {15, -5}}, CellElementSpacings -> {"CellMinHeight" -> 1}, Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), CellFrameColor -> GrayLevel[ Rational[77, 85]]], Cell[ StyleData["Subsection"], Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False], Cell[ StyleData["Subsubsection"], Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False], Cell[ StyleData["Comment", StyleDefinitions -> StyleData["Text"]], CellFrame -> {{3, 0}, {0, 0}}, CellMargins -> {{66, 0}, {1, 0}}, CellElementSpacings -> {"ClosedCellHeight" -> 0}, CellFrameColor -> RGBColor[0.880722, 0.611041, 0.142051], CellFrameLabelMargins -> {{0, 10}, {0, 0}}, FontColor -> GrayLevel[0.25], Background -> RGBColor[0.9821083, 0.94165615, 0.87130765]], Cell[ StyleData["AuthorComment", StyleDefinitions -> StyleData["Comment"]], CellFrameColor -> RGBColor[0.368417, 0.506779, 0.709798], Background -> RGBColor[0.90526255, 0.92601685, 0.9564697]], Cell[ StyleData["ReviewerComment", StyleDefinitions -> StyleData["Comment"]], CellFrameColor -> RGBColor[0.560181, 0.691569, 0.194885], Background -> RGBColor[0.9340271499999999, 0.95373535, 0.87923275]], Cell[ StyleData["CommentLabel", StyleDefinitions -> StyleData["Text"]], ShowStringCharacters -> False, FontSlant -> "Italic", FontColor -> GrayLevel[0.5]], Cell[ StyleData["CharactersRefLink"], ShowSpecialCharacters -> False]}, Visible -> False, FrontEndVersion -> "12.0 for Linux x86 (64-bit) (April 8, 2019)", StyleDefinitions -> "PrivateStylesheetFormatting.nb"] ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{ "Title"->{ Cell[558, 20, 48, 1, 70, "Title",ExpressionUUID->"d2ea5c48-7c29-4bae-ab33-38514bb4d138", CellTags->"Title"]}, "Description"->{ Cell[609, 23, 79, 1, 70, "Text",ExpressionUUID->"5b0e60e3-c9a1-497a-9616-8dfe10a17bb2", CellTags->"Description"]}, "Definition"->{ Cell[713, 28, 887, 21, 70, "Section",ExpressionUUID->"37d5d789-46db-4ad3-aa3a-35f3da758b96", CellTags->"Definition", CellID->474513213]}, "Documentation"->{ Cell[6470, 184, 99, 3, 70, "Section",ExpressionUUID->"682b85af-a1de-49e0-be61-39c5a49c9347", CellTags->"Documentation", CellID->855965831]}, "Usage"->{ Cell[6594, 191, 1615, 42, 70, "Subsection",ExpressionUUID->"74c94046-e6ff-4544-9a8c-57f98131bef1", CellTags->"Usage", CellID->310800389]}, "Details & Options"->{ Cell[9121, 272, 1131, 24, 70, "Subsection",ExpressionUUID->"ad33a264-1dc6-4f27-aca4-3090c8974f90", CellTags->"Details & Options", CellID->66019318]}, "TabNext"->{ Cell[10255, 298, 739, 22, 70, "Notes",ExpressionUUID->"dca7d650-fd8f-4a43-b5ce-09211b791a1a", CellTags->"TabNext", CellID->521904482], Cell[455199, 8163, 496, 8, 70, "Text",ExpressionUUID->"dc899580-d5c8-4be9-b230-4528a6318793", CellTags->"TabNext", CellID->343081869], Cell[456349, 8196, 485, 8, 70, "Item",ExpressionUUID->"0d6db965-1b3a-4195-bbe7-a7032f6bdd3a", CellTags->"TabNext", CellID->485448166], Cell[460164, 8307, 509, 8, 70, "Text",ExpressionUUID->"f2c7c0b2-dd08-4ac3-bf7f-34af36f7eb8f", CellTags->"TabNext", CellID->567921317], Cell[461433, 8341, 495, 8, 70, "Text",ExpressionUUID->"0e6df2c8-6cd8-4185-beed-58f3896841a7", CellTags->"TabNext", CellID->920818074]}, "Examples"->{ Cell[12770, 385, 6400, 143, 70, "Section",ExpressionUUID->"51833f1f-fc90-43fb-ab31-66afb42eab23", CellTags->"Examples", CellID->180595041]}, "Source & Additional Information"->{ Cell[450869, 8010, 135, 3, 70, "Section",ExpressionUUID->"76d73058-6108-4177-81a9-7561567b9ed4", CellTags->"Source & Additional Information", CellID->318391102]}, "Contributed By"->{ Cell[451029, 8017, 683, 18, 70, "Subsection",ExpressionUUID->"4d8be4bc-4d3f-4556-95f7-7c179b949a2c", CellTags->"Contributed By", CellID->127820888]}, "Keywords"->{ Cell[451784, 8042, 684, 18, 70, "Subsection",ExpressionUUID->"d13b1ff9-1640-49e4-a5d8-8da308e033d3", CellTags->"Keywords", CellID->547400482]}, "Categories"->{ Cell[452655, 8077, 126, 4, 70, "Subsection",ExpressionUUID->"eb14adf7-8b34-46f9-a167-621cfdf90f8d", CellTags->"Categories", CellID->749076926]}, "Related Symbols"->{ Cell[452910, 8090, 661, 18, 70, "Subsection",ExpressionUUID->"841099b4-d7ad-4b32-8bf5-3202c3591f03", CellTags->"Related Symbols", CellID->161079978]}, "Related Resource Objects"->{ Cell[453657, 8117, 711, 18, 70, "Subsection",ExpressionUUID->"fde2f45a-dc1f-435f-a620-bc813aed5401", CellTags->"Related Resource Objects", CellID->588449267]}, "Source/Reference Citation"->{ Cell[454434, 8142, 762, 19, 70, "Subsection",ExpressionUUID->"774064a9-7ab5-4307-a213-4638a43b4d2f", CellTags->"Source/Reference Citation", CellID->642091068]}, "Links"->{ Cell[455732, 8176, 614, 18, 70, "Subsection",ExpressionUUID->"e9a190ec-0e81-49bc-b9ab-ed3585d98f6e", CellTags->"Links", CellID->521525586]}, "Tests"->{ Cell[456871, 8209, 767, 20, 70, "Subsection",ExpressionUUID->"db7f2a3f-0492-4b21-8d61-8762acd42446", CellTags->"Tests", CellID->74308299]}, "Author Notes"->{ Cell[460034, 8301, 127, 4, 70, "Section",ExpressionUUID->"6217ae79-d527-43a9-9815-6bd38f2fa1d6", CellTags->"Author Notes", CellID->795110225]}, "Submission Notes"->{ Cell[460710, 8320, 720, 19, 70, "Section",ExpressionUUID->"f6516cc1-ff06-44e3-beb1-201ed694b9c5", CellTags->"Submission Notes", CellID->843283583]} } *) (*CellTagsIndex CellTagsIndex->{ {"Title", 532904, 9717}, {"Description", 533037, 9720}, {"Definition", 533174, 9723}, {"Documentation", 533340, 9727}, {"Usage", 533501, 9731}, {"Details & Options", 533672, 9735}, {"TabNext", 533844, 9739}, {"Examples", 534575, 9755}, {"Source & Additional Information", 534762, 9759}, {"Contributed By", 534954, 9763}, {"Keywords", 535127, 9767}, {"Categories", 535296, 9771}, {"Related Symbols", 535471, 9775}, {"Related Resource Objects", 535661, 9779}, {"Source/Reference Citation", 535861, 9783}, {"Links", 536042, 9787}, {"Tests", 536203, 9791}, {"Author Notes", 536370, 9795}, {"Submission Notes", 536545, 9799} } *) (*NotebookFileOutline Notebook[{ Cell[558, 20, 48, 1, 70, "Title",ExpressionUUID->"d2ea5c48-7c29-4bae-ab33-38514bb4d138", CellTags->"Title"], Cell[609, 23, 79, 1, 70, "Text",ExpressionUUID->"5b0e60e3-c9a1-497a-9616-8dfe10a17bb2", CellTags->"Description"], Cell[CellGroupData[{ Cell[713, 28, 887, 21, 70, "Section",ExpressionUUID->"37d5d789-46db-4ad3-aa3a-35f3da758b96", CellTags->"Definition", CellID->474513213], Cell[1603, 51, 626, 12, 70, "Input",ExpressionUUID->"4ef788e1-640e-4d15-9df8-7b07b7b2b602", CellID->1900798340], Cell[2232, 65, 1993, 48, 70, "Input",ExpressionUUID->"db09c713-7d74-449c-99f4-afb721d821fb", CellID->1034772735], Cell[4228, 115, 205, 5, 70, "Input",ExpressionUUID->"2eae0e3d-224f-4516-aa2d-f5df2ef5152b", CellID->1667274464], Cell[4436, 122, 251, 6, 70, "Input",ExpressionUUID->"d4c832a2-99c3-4d9a-9016-743b73eb5f01", CellID->1734808447], Cell[4690, 130, 692, 19, 70, "Input",ExpressionUUID->"2ca54ba4-1831-4d58-ac3e-8d34a2ddd3a5", CellID->750967608], Cell[5385, 151, 1070, 30, 70, "Input",ExpressionUUID->"35126e36-962c-410c-854d-a1179770232f", CellID->751194237] }, Open ]], Cell[6470, 184, 99, 3, 70, "Section",ExpressionUUID->"682b85af-a1de-49e0-be61-39c5a49c9347", CellTags->"Documentation", CellID->855965831], Cell[CellGroupData[{ Cell[6594, 191, 1615, 42, 70, "Subsection",ExpressionUUID->"74c94046-e6ff-4544-9a8c-57f98131bef1", CellTags->"Usage", CellID->310800389], Cell[CellGroupData[{ Cell[8234, 237, 92, 2, 70, "UsageInputs",ExpressionUUID->"270fd8fe-43bd-41aa-98f0-55a58399eea4"], Cell[8329, 241, 743, 25, 70, "UsageDescription",ExpressionUUID->"8674e89c-eec5-42e9-902b-e3183b3ce96d"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[9121, 272, 1131, 24, 70, "Subsection",ExpressionUUID->"ad33a264-1dc6-4f27-aca4-3090c8974f90", CellTags->"Details & Options", CellID->66019318], Cell[10255, 298, 739, 22, 70, "Notes",ExpressionUUID->"dca7d650-fd8f-4a43-b5ce-09211b791a1a", CellTags->"TabNext", CellID->521904482], Cell[10997, 322, 640, 21, 70, "Notes",ExpressionUUID->"caaaad2d-bd2f-4e49-9be6-ac3a97f6cc3d", CellID->1013712111], Cell[11640, 345, 1093, 35, 70, "Notes",ExpressionUUID->"ad05dc4c-b5fe-42c4-8429-3087509201a6", CellID->916737631] }, Open ]], Cell[CellGroupData[{ Cell[12770, 385, 6400, 143, 70, "Section",ExpressionUUID->"51833f1f-fc90-43fb-ab31-66afb42eab23", CellTags->"Examples", CellID->180595041], Cell[CellGroupData[{ Cell[19195, 532, 56, 1, 70, "Subsection",ExpressionUUID->"209b8be6-a237-4c5f-b19d-bedb7ecb6889", CellID->462042388], Cell[19254, 535, 134, 2, 70, "Text",ExpressionUUID->"cea3fb24-d786-4916-a373-1c3d18dc1b39", CellID->13078159], Cell[CellGroupData[{ Cell[19413, 541, 528, 15, 70, "Input",ExpressionUUID->"6fb85b25-7c77-42ec-95a6-0adb7e1f1a6d", CellID->443871870], Cell[19944, 558, 10527, 180, 70, "Output",ExpressionUUID->"633ccc77-2495-43f1-979d-b232c9d8c3aa", CellID->64956183] }, Open ]], Cell[30486, 741, 236, 3, 70, "Text",ExpressionUUID->"e9fb4485-0505-44a2-bf50-99882ef04cbf", CellID->1020146053], Cell[CellGroupData[{ Cell[30747, 748, 13067, 261, 70, "Input",ExpressionUUID->"8932faaa-1f76-4dd9-80d6-039d437a8573", CellID->470590088], Cell[43817, 1011, 761, 20, 70, "Output",ExpressionUUID->"1d85f97d-e617-43e5-b2c7-f9ca04a8fe55", CellID->1817062965] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[44627, 1037, 47, 1, 70, "Subsection",ExpressionUUID->"cfb831d2-edc9-42c9-9645-4931b8cac64e", CellID->964056545], Cell[44677, 1040, 118, 2, 70, "Text",ExpressionUUID->"2926617f-4325-436a-a1e4-72d035785f20", CellID->820333128], Cell[CellGroupData[{ Cell[44820, 1046, 232, 6, 70, "Input",ExpressionUUID->"e040fd61-2a4f-4d56-8707-98bb59631a56", CellID->74695248], Cell[45055, 1054, 8139, 140, 70, "Output",ExpressionUUID->"bb6b2154-ec19-4647-a1aa-194c925c4cb5", CellID->766253584] }, Open ]], Cell[53209, 1197, 128, 2, 70, "Text",ExpressionUUID->"439218e2-75e2-454d-b9fa-5d8af351f1b5", CellID->2094976265], Cell[CellGroupData[{ Cell[53362, 1203, 572, 13, 70, "Input",ExpressionUUID->"b208f0fe-a87a-49a1-813b-fec2e2ab5c04", CellID->1538078687], Cell[53937, 1218, 53657, 887, 70, "Output",ExpressionUUID->"139de115-4180-4b04-853d-461e3162b28a", CellID->1794132501] }, Open ]], Cell[107609, 2108, 210, 3, 70, "Text",ExpressionUUID->"6a3955fd-4c21-4ee2-9577-7783fba8eacc", CellID->886437160], Cell[CellGroupData[{ Cell[107844, 2115, 323, 7, 70, "Input",ExpressionUUID->"6cf9a7e8-51aa-4044-a39d-14d807d7b862", CellID->459509262], Cell[108170, 2124, 243619, 4001, 70, "Output",ExpressionUUID->"62dc3834-c751-4fd1-96c9-ae91bd16f66d", CellID->1917868518] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[351838, 6131, 67, 1, 70, "Subsection",ExpressionUUID->"c142f089-8465-4b45-8fdb-d611ca13dd1e", CellID->1969074075], Cell[351908, 6134, 679, 19, 70, "Text",ExpressionUUID->"5f689df7-ccec-4e1d-97a2-9fae0a690759", CellID->649685796], Cell[CellGroupData[{ Cell[352612, 6157, 471, 13, 70, "Input",ExpressionUUID->"09c80f96-b0b9-401b-a5d5-5368f38eb1f8", CellID->1880649437], Cell[353086, 6172, 3955, 71, 70, "Output",ExpressionUUID->"3aef8e7b-f657-43c0-b94d-18440eb5d9a8", CellID->1356272391] }, Open ]], Cell[357056, 6246, 15373, 293, 70, "Input",ExpressionUUID->"1dfd9adb-ecfa-446e-86b1-c4a7bc3a6c49", CellID->50860780], Cell[372432, 6541, 244, 7, 70, "Text",ExpressionUUID->"ddd01913-6e21-4afa-9948-ec6d86c6898c", CellID->1962246161], Cell[CellGroupData[{ Cell[372701, 6552, 284, 6, 70, "Input",ExpressionUUID->"671fce68-e469-4854-a196-36de3cf17b86", CellID->836153427], Cell[372988, 6560, 4031, 73, 70, "Output",ExpressionUUID->"d8f73031-4f00-4f25-99e2-8879615f0d40", CellID->1848893047] }, Open ]], Cell[CellGroupData[{ Cell[377056, 6638, 14538, 293, 70, "Input",ExpressionUUID->"eb906e83-6bdb-4aa8-9ff5-aa1f22e2a6be", CellID->688622900], Cell[391597, 6933, 3935, 72, 70, "Output",ExpressionUUID->"412dc89f-7f33-474e-889d-e1e26ef4d8e1", CellID->928844404] }, Open ]], Cell[395547, 7008, 125, 3, 70, "ExampleDelimiter",ExpressionUUID->"d8c4270b-eacc-4cb2-8eee-08ac7b2f0272", CellID->196517490], Cell[395675, 7013, 318, 10, 70, "Text",ExpressionUUID->"a747d028-cc70-460d-b83b-4905b9709ad3", CellID->1198013739], Cell[CellGroupData[{ Cell[396018, 7027, 242, 6, 70, "Input",ExpressionUUID->"abe80bd0-2564-4f6b-bd41-03dc8b8c1fa6", CellID->521281559], Cell[396263, 7035, 1777, 45, 70, "Output",ExpressionUUID->"0319b00b-99a9-4b9f-9f18-36c6dd6cc586", CellID->785484589] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[398089, 7086, 66, 1, 70, "Subsection",ExpressionUUID->"9c85f716-a07b-4335-a54d-441b4b993faf", CellID->754506620], Cell[398158, 7089, 698, 22, 70, "Text",ExpressionUUID->"0dbfd742-734d-4a16-8ac8-8c31f4552e89", CellID->271861192], Cell[CellGroupData[{ Cell[398881, 7115, 594, 17, 70, "Input",ExpressionUUID->"a279645b-7dbc-47fd-a778-d91aded2d244", CellID->2068141812], Cell[399478, 7134, 45571, 754, 70, "Output",ExpressionUUID->"8dbaa918-704e-40f2-90fa-7006dcb64d42", CellID->265473795] }, Open ]], Cell[CellGroupData[{ Cell[445086, 7893, 641, 18, 70, "Input",ExpressionUUID->"adda1d99-ced8-40ea-9255-be2cff268c96", CellID->1118001677], Cell[445730, 7913, 5078, 90, 70, "Output",ExpressionUUID->"2993ae1d-1313-4e87-9dc8-e9dceafe9c32", CellID->1345742855] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[450869, 8010, 135, 3, 70, "Section",ExpressionUUID->"76d73058-6108-4177-81a9-7561567b9ed4", CellTags->"Source & Additional Information", CellID->318391102], Cell[CellGroupData[{ Cell[451029, 8017, 683, 18, 70, "Subsection",ExpressionUUID->"4d8be4bc-4d3f-4556-95f7-7c179b949a2c", CellTags->"Contributed By", CellID->127820888], Cell[451715, 8037, 32, 0, 70, "Text",ExpressionUUID->"610798f0-e46d-44bd-99f9-2ccf96b05d2f"] }, Open ]], Cell[CellGroupData[{ Cell[451784, 8042, 684, 18, 70, "Subsection",ExpressionUUID->"d13b1ff9-1640-49e4-a5d8-8da308e033d3", CellTags->"Keywords", CellID->547400482], Cell[452471, 8062, 20, 0, 70, "Item",ExpressionUUID->"46087b21-4bda-4964-87fa-e0f797ece5bf"], Cell[452494, 8064, 23, 0, 70, "Item",ExpressionUUID->"8563cf59-8140-4f96-9d5d-ecef39e8d996"], Cell[452520, 8066, 22, 0, 70, "Item",ExpressionUUID->"007bc076-d892-44e9-913c-9805a6812c56"], Cell[452545, 8068, 24, 0, 70, "Item",ExpressionUUID->"6f98c549-7377-4b1d-9b23-557c8fd5288d"], Cell[452572, 8070, 22, 0, 70, "Item",ExpressionUUID->"8c0ce189-9a19-4021-a7d5-86063c61dfee"], Cell[452597, 8072, 21, 0, 70, "Item",ExpressionUUID->"6ff139e1-ec46-4759-b836-cf75642b8fd1"] }, Open ]], Cell[CellGroupData[{ Cell[452655, 8077, 126, 4, 70, "Subsection",ExpressionUUID->"eb14adf7-8b34-46f9-a167-621cfdf90f8d", CellTags->"Categories", CellID->749076926], Cell[452784, 8083, 49, 0, 70, "Item",ExpressionUUID->"977bd944-b269-47af-86c4-de265d87bcd1"], Cell[452836, 8085, 37, 0, 70, "Item",ExpressionUUID->"3d01956b-1caf-44ca-88bc-592b01023c81"] }, Open ]], Cell[CellGroupData[{ Cell[452910, 8090, 661, 18, 70, "Subsection",ExpressionUUID->"841099b4-d7ad-4b32-8bf5-3202c3591f03", CellTags->"Related Symbols", CellID->161079978], Cell[453574, 8110, 23, 0, 70, "Item",ExpressionUUID->"4dceae2e-3ae7-46d6-aae3-d12767e0a076"], Cell[453600, 8112, 20, 0, 70, "Item",ExpressionUUID->"aaead083-a6f4-4301-8af7-a0cc9ee412ad"] }, Open ]], Cell[CellGroupData[{ Cell[453657, 8117, 711, 18, 70, "Subsection",ExpressionUUID->"fde2f45a-dc1f-435f-a620-bc813aed5401", CellTags->"Related Resource Objects", CellID->588449267], Cell[454371, 8137, 26, 0, 70, "Item",ExpressionUUID->"85c0977e-6567-46c7-8288-d1338006be4c"] }, Open ]], Cell[CellGroupData[{ Cell[454434, 8142, 762, 19, 70, "Subsection",ExpressionUUID->"774064a9-7ab5-4307-a213-4638a43b4d2f", CellTags->"Source/Reference Citation", CellID->642091068], Cell[455199, 8163, 496, 8, 70, "Text",ExpressionUUID->"dc899580-d5c8-4be9-b230-4528a6318793", CellTags->"TabNext", CellID->343081869] }, Open ]], Cell[CellGroupData[{ Cell[455732, 8176, 614, 18, 70, "Subsection",ExpressionUUID->"e9a190ec-0e81-49bc-b9ab-ed3585d98f6e", CellTags->"Links", CellID->521525586], Cell[456349, 8196, 485, 8, 70, "Item",ExpressionUUID->"0d6db965-1b3a-4195-bbe7-a7032f6bdd3a", CellTags->"TabNext", CellID->485448166] }, Open ]], Cell[CellGroupData[{ Cell[456871, 8209, 767, 20, 70, "Subsection",ExpressionUUID->"db7f2a3f-0492-4b21-8d61-8762acd42446", CellTags->"Tests", CellID->74308299], Cell[CellGroupData[{ Cell[457663, 8233, 572, 16, 70, "Input",ExpressionUUID->"30a20718-fb06-456a-a759-6e24f989dc09", CellID->667877521], Cell[458238, 8251, 1735, 43, 70, "Output",ExpressionUUID->"e76ef349-855c-4d22-ad91-ee1b0ecf8db6", CellID->1824868084] }, Open ]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[460034, 8301, 127, 4, 70, "Section",ExpressionUUID->"6217ae79-d527-43a9-9815-6bd38f2fa1d6", CellTags->"Author Notes", CellID->795110225], Cell[460164, 8307, 509, 8, 70, "Text",ExpressionUUID->"f2c7c0b2-dd08-4ac3-bf7f-34af36f7eb8f", CellTags->"TabNext", CellID->567921317] }, Open ]], Cell[CellGroupData[{ Cell[460710, 8320, 720, 19, 70, "Section",ExpressionUUID->"f6516cc1-ff06-44e3-beb1-201ed694b9c5", CellTags->"Submission Notes", CellID->843283583], Cell[461433, 8341, 495, 8, 70, "Text",ExpressionUUID->"0e6df2c8-6cd8-4185-beed-58f3896841a7", CellTags->"TabNext", CellID->920818074] }, Open ]] } ] *) (* End of internal cache information *)