(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 13.1' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 957714, 18415] NotebookOptionsPosition[ 787956, 15168] NotebookOutlinePosition[ 929679, 17826] CellTagsIndexPosition[ 927824, 17776] WindowTitle->CrossTabulate | Definition Notebook WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["CrossTabulate", "Title", CellTags->{"Name", "TemplateCell", "Title"}, CellID->200213470], Cell["\<\ Compute the contingency table for a two- or three- column dataset or array\ \>", "Text", CellTags->{"Description", "TemplateCell"}, CellID->491410484], Cell[CellGroupData[{ Cell[TextData[{ "Definition", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Function", Cell[ BoxData[ FrameBox[ Cell[ "Define your function using the name you gave in the Title line \ above. You can add input cells and extra code to define additional input \ cases or prerequisites. All definitions, including dependencies, will be \ included in the generated resource function.\n\nThis section should be \ evaluated before creating the Examples section below.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoFunction"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Function"}, DefaultNewCellStyle->"Input", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"ClearAll", "[", "CrossTabulate", "]"}], ";"}], "\n"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"SyntaxInformation", "[", "CrossTabulate", "]"}], " ", "=", RowBox[{"{", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{"_", ",", RowBox[{"OptionsPattern", "[", "]"}]}], "}"}]}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Options", "[", "CrossTabulate", "]"}], "=", RowBox[{"{", RowBox[{"\"\\"", "\[Rule]", "False"}], "}"}]}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"CrossTabulate", "::", "narr"}], "=", "\"\\""}], ";"}], "\[IndentingNewLine]"}], "\n", RowBox[{ RowBox[{ RowBox[{ RowBox[{"CrossTabulate", "[", RowBox[{"data_Dataset", ",", RowBox[{"opts", ":", RowBox[{"OptionsPattern", "[", "]"}]}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", "colKeys", "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"colKeys", "=", RowBox[{"Normal", "[", RowBox[{"data", "[", RowBox[{"[", "1", "]"}], "]"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"MatchQ", "[", RowBox[{"colKeys", ",", "_Association"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{"Normal", "[", RowBox[{"data", "[", RowBox[{"All", ",", "Values"}], "]"}], "]"}], ",", "opts"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"(*", "ElSE", "*)"}], "\[IndentingNewLine]", RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{"Normal", "[", "data", "]"}], ",", "opts"}], "]"}]}], "\[IndentingNewLine]", "]"}]}]}], "\[IndentingNewLine]", "]"}], "/;", RowBox[{ RowBox[{"Length", "[", RowBox[{"Dimensions", "[", "data", "]"}], "]"}], "\[Equal]", "2"}]}]}], ";"}], "\[IndentingNewLine]"}], "\n", RowBox[{ RowBox[{ RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{"arr_", "?", "MatrixQ"}], ",", RowBox[{"opts", ":", RowBox[{"OptionsPattern", "[", "]"}]}]}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{"idRules", ",", "t"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"idRules", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"t", "=", RowBox[{"Union", "[", RowBox[{"arr", "[", RowBox[{"[", RowBox[{"All", ",", "i"}], "]"}], "]"}], "]"}]}], ";", RowBox[{"Dispatch", "@", RowBox[{"Thread", "[", RowBox[{"t", "\[Rule]", RowBox[{"Range", "[", RowBox[{"Length", "[", "t", "]"}], "]"}]}], "]"}]}]}], ")"}], ",", RowBox[{"{", RowBox[{"i", ",", RowBox[{"Min", "[", RowBox[{"2", ",", RowBox[{ RowBox[{"Dimensions", "[", "arr", "]"}], "[", RowBox[{"[", "2", "]"}], "]"}]}], "]"}]}], "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Which", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Dimensions", "[", "arr", "]"}], "[", RowBox[{"[", "2", "]"}], "]"}], "\[Equal]", "2"}], ",", "\[IndentingNewLine]", RowBox[{"t", "=", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"SparseArray", "[", RowBox[{"Map", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"MapThread", "[", RowBox[{"Replace", ",", RowBox[{"{", RowBox[{ RowBox[{"#", "[", RowBox[{"[", "1", "]"}], "]"}], ",", "idRules"}], "}"}]}], "]"}], "\[Rule]", RowBox[{"#", "[", RowBox[{"[", "2", "]"}], "]"}]}], "&"}], ",", RowBox[{"Tally", "[", "arr", "]"}]}], "]"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Normal", "[", "#", "]"}], "[", RowBox[{"[", RowBox[{"All", ",", "1"}], "]"}], "]"}], "&"}], "/@", "idRules"}]}], "\[IndentingNewLine]", "}"}]}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Dimensions", "[", "arr", "]"}], "[", RowBox[{"[", "2", "]"}], "]"}], "\[Equal]", "3"}], "&&", RowBox[{"VectorQ", "[", RowBox[{ RowBox[{"DeleteMissing", "[", RowBox[{"arr", "[", RowBox[{"[", RowBox[{"All", ",", "3"}], "]"}], "]"}], "]"}], ",", "NumericQ"}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"t", "=", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"SparseArray", "[", RowBox[{"Map", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"MapThread", "[", RowBox[{"Replace", ",", RowBox[{"{", RowBox[{ RowBox[{"#", "[", RowBox[{"[", "1", "]"}], "]"}], ",", "idRules"}], "}"}]}], "]"}], "\[Rule]", RowBox[{"#", "[", RowBox[{"[", "2", "]"}], "]"}]}], "&"}], ",", RowBox[{"Map", "[", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"#", "[", RowBox[{"[", RowBox[{"1", ",", RowBox[{"1", ";;", "2"}]}], "]"}], "]"}], ",", RowBox[{"Total", "[", RowBox[{"#", "[", RowBox[{"[", RowBox[{"All", ",", "3"}], "]"}], "]"}], "]"}]}], "}"}], "&"}], ",", RowBox[{"GatherBy", "[", RowBox[{"arr", ",", "Most"}], "]"}]}], "]"}]}], "]"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Normal", "[", "#", "]"}], "[", RowBox[{"[", RowBox[{"All", ",", "1"}], "]"}], "]"}], "&"}], "/@", "idRules"}]}], "\[IndentingNewLine]", "}"}]}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", "True", ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"Message", "[", RowBox[{"CrossTabulate", "::", "narr"}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", RowBox[{"{", "}"}], "]"}]}]}], "\[IndentingNewLine]", "]"}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"TrueQ", "[", RowBox[{"OptionValue", "[", RowBox[{"CrossTabulate", ",", "\"\\""}], "]"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"t", "[", RowBox[{"[", "1", "]"}], "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"t", "[", RowBox[{"[", RowBox[{"2", ",", "1"}], "]"}], "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"t", "[", RowBox[{"[", RowBox[{"2", ",", "2"}], "]"}], "]"}]}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"(*", "ELSE", "*)"}], "\[IndentingNewLine]", RowBox[{"Dataset", "@", RowBox[{"AssociationThread", "[", RowBox[{ RowBox[{"t", "[", RowBox[{"[", RowBox[{"2", ",", "1"}], "]"}], "]"}], ",", RowBox[{ RowBox[{ RowBox[{"AssociationThread", "[", RowBox[{ RowBox[{"t", "[", RowBox[{"[", RowBox[{"2", ",", "2"}], "]"}], "]"}], ",", "#"}], "]"}], "&"}], "/@", RowBox[{"Normal", "[", RowBox[{ "t", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "]"}]}]}], "]"}]}]}], "\[IndentingNewLine]", "]"}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}], "\n"}], "Input", CellChangeTimes->{{3.778690537799963*^9, 3.778690577840814*^9}, { 3.778690621321788*^9, 3.778690696776821*^9}, {3.778692326085717*^9, 3.778692476701947*^9}, {3.778692655525093*^9, 3.7786927142377996`*^9}, { 3.778692753965317*^9, 3.7786927553012953`*^9}, {3.778693041724399*^9, 3.778693099219981*^9}, {3.778693207380826*^9, 3.778693258940975*^9}, { 3.778693303785969*^9, 3.778693350473036*^9}, {3.778694288571452*^9, 3.7786942965685673`*^9}}, CellLabel->"In[1]:=", CellID->872202004] }, Open ]], Cell[CellGroupData[{ Cell["Documentation", "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Documentation"}, CellTags->{"Documentation", "TemplateSection"}, CellID->429741307], Cell[CellGroupData[{ Cell[TextData[{ "Usage", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Usage", Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Document input usage cases by first typing an input structure, \ then pressing ", Cell[ BoxData[ StyleBox[ DynamicBox[ ToBoxes[ If[$OperatingSystem === "MacOSX", "\[ReturnKey]", "\[EnterKey]"], StandardForm], SingleEvaluation -> True, Evaluator -> "System"], ShowStringCharacters -> False]]], " to add a brief explanation of the function\[CloseCurlyQuote]s \ behavior for that structure. Pressing ", Cell[ BoxData[ StyleBox[ DynamicBox[ ToBoxes[ If[$OperatingSystem === "MacOSX", "\[ReturnKey]", "\[EnterKey]"], StandardForm], SingleEvaluation -> True, Evaluator -> "System"], ShowStringCharacters -> False]]], " repeatedly will create new cases as needed. Every input usage \ case defined above should be demonstrated explicitly here.\n\nSee existing \ documentation pages for examples."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoUsage"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Usage"}, DefaultNewCellStyle->{"UsageInputs", FontFamily -> "Source Sans Pro"}, CellTags->{"TemplateCellGroup", "Usage"}, CellID->542419310], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", StyleBox["data", "TI"], "]"}]], "UsageInputs", FontFamily->"Source Sans Pro", CellID->810304551], Cell[TextData[{ "finds the contingency table for the ", 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", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " or array ", StyleBox["data", "TI"], "." }], "UsageDescription", CellID->430820615] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Details & Options", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Notes", Cell[ BoxData[ FrameBox[ Cell[ "Give a detailed explanation of how the function is used and \ configured (e.g. acceptable input types, result formats, options \ specifications, background information). This section may include multiple \ cells, bullet lists, tables, hyperlinks and additional styles/structures as \ needed.\n\nAdd any other information that may be relevant, such as when the \ function was first discovered or how and why it is used within a given field. \ Include all relevant background or contextual information related to the \ function, its development, and its usage.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoNotes"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Notes"}, DefaultNewCellStyle->"Notes", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236], Cell[TextData[{ StyleBox["CrossTabulate", "Program"], " works on two dimensional full arrays with two or three columns, or on \ datasets that can be represented in that way." }], "Notes", 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}, CellChangeTimes->{{3.779624709709752*^9, 3.7796247801867867`*^9}, { 3.7796248188587646`*^9, 3.779624838886046*^9}, {3.779625018466715*^9, 3.779625018471837*^9}, {3.7803359045224648`*^9, 3.7803359068176937`*^9}}, CellTags->"TabNext", CellID->771566293], Cell["If present, the third column is expected to be numerical. ", "Notes", 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}, CellChangeTimes->{{3.779624709709752*^9, 3.7796247801867867`*^9}, { 3.7796248188587646`*^9, 3.779624858729372*^9}}, CellID->195084367], Cell["\<\ If the argument has two columns, the computed contingency values are \ co-occurance counts for each unique pair of values of the first and second \ columns.\ \>", "Notes", 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}, CellChangeTimes->{{3.779624709709752*^9, 3.779624804615987*^9}, { 3.7796248618904552`*^9, 3.779624932446025*^9}, {3.7796249820761538`*^9, 3.7796250000203114`*^9}, 3.7800513129559298`*^9, 3.780051503230085*^9, { 3.7803359188778996`*^9, 3.780335932469259*^9}}, CellID->764092798], Cell["\<\ If the argument has three columns, the computed contingency values are sums \ of the third column values for each unique pair of values of the first and \ second columns. \ \>", "Notes", 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}, CellChangeTimes->{{3.779624709709752*^9, 3.779624804615987*^9}, { 3.7796248618904552`*^9, 3.7796249758885603`*^9}, {3.780051363965146*^9, 3.780051415669704*^9}, 3.780051476600996*^9, {3.780335940322044*^9, 3.7803359413341455`*^9}}, CellID->558985330] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Examples", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Examples", Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Demonstrate the function\[CloseCurlyQuote]s usage, starting with \ the most basic use case and describing each example in a preceding text cell.\ \n\nWithin a group, individual examples can be delimited by inserting page \ breaks between them (either using ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"[Right-click]\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False], StyleBox[ "\" \[FilledRightTriangle] \"", FontFamily -> "Source Sans Pro", FontSize -> 13.86, FontColor -> GrayLevel[0.5], StripOnInput -> False], StyleBox[ "\"Insert Page Break\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], " between cells or through the menu using ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"Insert\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False], StyleBox[ "\" \[FilledRightTriangle] \"", FontFamily -> "Source Sans Pro", FontSize -> 13.86, FontColor -> GrayLevel[0.5], StripOnInput -> False], StyleBox[ "\"Page Break\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontColor -> GrayLevel[0.286275], FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], ").\n\nExamples should be grouped into Subsection and \ Subsubsection cells similarly to existing documentation pages. Here are some \ typical Subsection names and the types of examples they normally contain:\n \ ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Basic Examples: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "most basic function usage\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Scope: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "input and display conventions, standard computational attributes \ (e.g. threading over lists)\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Options: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "available options and parameters for the function\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Applications: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "standard industry or academic applications\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Properties and Relations: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "how the function relates to other functions\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Possible Issues: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "limitations or unexpected behavior a user might experience\n ", Cell[ BoxData[ StyleBox[ TemplateBox[{ StyleBox[ "\"\[FilledSmallSquare] \"", FontColor -> RGBColor[0.8, 0.043, 0.008], StripOnInput -> False], StyleBox[ "\"Neat Examples: \"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontSize -> 14, StripOnInput -> False]}, "RowDefault"], ShowStringCharacters -> False]]], "particularly interesting, unconventional, or otherwise unique \ usage"}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoExamples"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Examples"}, CellTags->{"Examples", "TemplateCellGroup"}, CellID->530638011], Cell[CellGroupData[{ Cell["Basic Examples", "Subsection", TaggingRules->{}, CellID->904125756], Cell["Here is an array of random integer-word pairs:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779630000375463*^9, 3.77963002311203*^9}}, CellID->686757999], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"SeedRandom", "[", "4", "]"}], ";"}], "\n", RowBox[{ RowBox[{"iwPairs", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"RandomInteger", "[", RowBox[{"5", ",", "200"}], "]"}], ",", RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"RandomWord", "[", "5", "]"}], ",", "200"}], "]"}]}], "}"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Short", "[", "iwPairs", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.778692061930134*^9, 3.778692147722108*^9}, { 3.778692484712297*^9, 3.7786924957916327`*^9}, {3.778693274679731*^9, 3.7786932969871597`*^9}, {3.7786933350601892`*^9, 3.778693385806788*^9}, 3.778693887994705*^9, {3.778697362591525*^9, 3.7786974105413933`*^9}, 3.7786974577120943`*^9, {3.779625978228725*^9, 3.779626163922296*^9}}, CellLabel->"In[1]:=", CellID->230588270], Cell[BoxData[ TagBox[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"2", ",", "\<\"dispose\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"3", ",", "\<\"prosecutor\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"3", ",", "\<\"dramatize\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"3", ",", "\<\"skein\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"1", ",", "\<\"dispose\"\>"}], "}"}], ",", RowBox[{"\[LeftSkeleton]", "190", "\[RightSkeleton]"}], ",", RowBox[{"{", RowBox[{"1", ",", "\<\"skein\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "\<\"skein\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"4", ",", "\<\"prosecutor\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"3", ",", "\<\"skein\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"2", ",", "\<\"dramatize\"\>"}], "}"}]}], "}"}], Short]], "Output", TaggingRules->{}, CellChangeTimes->{3.779626164277834*^9, 3.7800512397035017`*^9, 3.7800525634585238`*^9, 3.780054181679751*^9}, CellLabel->"Out[3]//Short=", CellID->479759421] }, Open ]], Cell["Compute the contingency table:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779630026104495*^9, 3.779630037669734*^9}, { 3.780333606682324*^9, 3.780333610411832*^9}}, CellID->287762853], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", "iwPairs", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778692061930134*^9, 3.778692147722108*^9}, { 3.778692484712297*^9, 3.7786924957916327`*^9}, {3.778693274679731*^9, 3.7786932969871597`*^9}, {3.7786933350601892`*^9, 3.778693385806788*^9}, 3.778693887994705*^9, {3.778697362591525*^9, 3.7786974105413933`*^9}, 3.7786974577120943`*^9, {3.779625978228725*^9, 3.779626125470544*^9}, 3.7796261706980333`*^9}, CellLabel->"In[4]:=", CellID->205603271], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXl0FVW69pMwpZkFRUQQUa4SbdSl3aBMSxFEodNyGWyFIO2EzaBgVLqh oWWyATU0omBA6RCIlyEalAgoCggEiSSkk1wmaQKEGCDMoYMIIfi9N+9yf2Wd 5Jyqc6oqe2c/vz9YpKpyzlvPs/d+do1p8/TofsMiwsLCXo6kf/o99ecHYmOf Gte/Mf0w8MWXhz//4nPPPvLiK889/1zsvU/XoIXjw8PCXqTt/+//PwEAAAAg BL4DAAAAAAAAAACqlHMSI3+FSgAZJQcGMdBBXfT0DkmqFZBRcmAQAx3URU/v kKRaARklBwYx0EFd9PQOSaoVkFFyYBADHdRFT++QpFoBGSUHBjHQQV309A5J qhWQUXJgEAMd1EVP75CkWgEZJQcGMdBBXfT0DkmqFZBRcmAQAx3URU/vkKRa ARklBwYx0EFd9PQOSaoVkFFyYBADHdRFT++QpFoBGSUHBjHQQV309A5JqhWQ UXJgEAMd1EVP75CkWgEZJQcGMdBBXfT0DkmqFZBRcmAQAx3URU/vkKRaARkl BwYx0EFd9PQOSaoVkFFyYBADHdRFT++QpFoBGSUHBjHQQV309A5JqhWQUXJg EAMd1EVP73RI0vXr18+fP3/hwoXOlqQikFFyAhp09uzZ999/n4zYvHmzZ1V5 j/wjEqgMp7zLysqaX86RI0dC/zS30SFJaeQZNmzY888/L5Z88MEHI8rZtWuX QwWqgbMyKk1ubi511YMHD/quqsLmEdCgU6dODSsnMTHRs6pC5Pvvvyep//Wv f9E0wOKvyD8iyYyftu0BTnn32WefcVPft29f6J/GHDp0iLv222+/7dRnMnom 6bx589ijnJwchwpUAySpgHaEdod2yndVFTaPapmkH3/8Mdecn59v8VfkH5Fk xk/b9gCZkzQvL48/84033nDqMxk9kzQ1NTWuHBLWoQLVAEkq8DPaVGHzQJIy 8o9IMoMkrYzCwkLu2itWrHDqMxk9k1RbIKOgakebykCSMvKPSDKDJPWe6pek OTk5SUlJf//73//2t7/NmjVr5cqV9K8pAnJzc6l3p6Sk0Lhk/N0zZ8589dVX //znP2fOnDlt2rS5c+cuXbo0Ozu7uLiYNzh79ix9IP3ujh07jh8/vmbNmvfe e4++6K233qJJDk14fOs5duzYp59+Om/evNdee23GjBmLFy/etm1bhZUH/Haj GsnJyW+//fbEiRPfeOMNGlQtnod0VkaqjaSgVVQ5/bh///7169eTqmvXruUr YrQB/Th//nzSZ8qUKbRfJBepQZqYvs74Uf/7v//7P//zP9OnT6dfoRr+9a9/ 8TYkL/3uu+++S3vNgp88edL4IUePHv3yyy9JjXfeeYcq528kPcUnMDt37hRj O+3dxwaKiorOVdQ86Cj148rxNdQ9g4xJevr0adrfBQsWUNMiuRYtWnTo0CFf YS1a8O2339K+0CrfL/38889p1ZYtW4wfK/zau3fv8uXL33zzTRKTlKc2bPzd VatWUbPnmqnx+xHNlg62emLAhspkZGRQeyO/6HOo99H2FfZoN/oplUHyUrOn XkZNl/wiI8TE48SJEywaNV3TL1LK8CouNWDbZqwMSkaF6UcSOTMzk37rk08+ 8X//gMVBJi8vb9myZdRgpk6dSq4tXLiQmpnx5qLKkpR2hAsjCgoKxHLhy+uv vz5p0iTaO6rWNEQQVD/9Iu2LWGK9MQfc6+qRpKQDicDzMV+MEUB9jRd+//33 YiE5++c//7nC36XOwtuIcewvf/nLK6+8Ytps7NixpiLJo1dffdX3A6mnUMs0 bmnl28+VN28amoYPH+67GQ0CHstIAwgv3L17N7U942acQdQaK/yQkSNH0qhl /FLxUTQemr6afkxPT9+0adOYMWNMn0MDFA0y4kPS0tIq/DqCuiqPogR1mco2 4z7r2zxeeOGFyn5lmLcGiRZIY+Bf//pX01dQnTQPMW5v3QJKZFr+pz/9yfdL uQ2Thr5+0W/5NhWjIBVKQdCMyBEdrPTEgA2V/k1ISPAtMjY21qSSG/30wIED lJ6+W5KwNIU7V36fDC+hpmv6XRrqeRX7HrBtn7M8KBnnbJRxxi5AiR+KdwRl aIUjDDU/8bsVJilVSLMXXk5TFNGpyRdKZN8PHDduHJlu9IWXU+CKhdYbc8C9 rh5JamxFpCo1jNmzZ7/44ou8xH+SkiM0LPNCGqDef/996lk0t+G+8I9//IM3 E61LfCaNVLQZjUu8hH4UU1Nq/6IrkfvUg8gpEQdGgyx+u3Ef6XOWLFlCHY3+ FftIceOljKIF+mJMUuq29Am0R7Rf1LB5g9GjRxsn/KaPorU04adB0vSx9O00 2yQxhbA0XokP4SSlzkjSxcfH0zEazfBHjBjBW1Ln5c02b95MR3Dii6Yb4Cmu b/OgPjvTB1GVcWx02yBTC+QGQ4cV4ito343bW7cguCRlaJilGoypLQKIfksk HXknpKajAAd18N8TAzZUGlf5R5KRWs6HH34ojqPpk0UlbvRTOjx86aWXeDkJ RcMCHUyJORJVcs5OkgZs29YHJd+WJggxSb/++mv+nFGjRlHzoBro6E/MT8QB r2+S0rRZ7J0xRukoVWhIH7iynDfeeIOXkGViS/9JyvhpzAH3uhokKbUT8oX7 wrfffiuWnz59msaQYYGSlOYtvOSDDz4wfSwNyNTY+EfRuujTqBMdPXqUl1P7 FI1ffDs1S9/2Tx9IRxO8PDc319a3Hz58mAeKKVOmiK/m5dwXaMTzUkZjC6TM /eKLL/bu3UuTQ2p4PIht3bp1z549pq8Qoxat9f2ol19+ecuWLfzr1Oypi4mv IHHEXv/rX//ihcbgyM/Pp981HexTN+QRjGQ3LvdzLanCUxYmvvzyS96G0kGc BPbAIOP4Rod14nQuGSfGIuMpL+sWBJekdNS2YcMGcY5UJIjxuWM3rpPa6on+ Gyq1EG4M48ePNz45snbtWv4VseNu9FPhBQWo8QRLVlYWDeZ2k5Tx07atD0rG lkbTUaqE9CR96Iv834kX0DuactBnUqAb1SYjaCZMZYjcNCUp1SPCkYYFEY4E HTXz8vXr1xu/SPguTtL6T1Irjdn/XleDJE1OTua95vMhRnxvlfEdKmlI4SX+ T8GJ1kUdx7Tqm2++MfYymu3zj6YB/Fx5HxF9x9a3U2PmzXxbckpKimmPKsRZ GUULpANDW48K8m999NFHvh9Fo41x4x07dlSmDPd9msYH/EaOY8oIY5GhJOnO nTt5Yk/TfuNo4IFBogWaBnNj2QGvyVZoQXBJavLr5MmTfBLgzTffFAtdTdKA PfFcoIZKn8Br6RdNq8SRKRvqeD+lA1Juh6Sw6Z6Nc+XDPl/cdCpJbQ1KxusI tm5iD+gd91xqacZphi/GJKWZfFxcHP9oilGaOfP+xsfHmz6BdoFPSovc9J+k Vhqz/72uBklK8/Nh5fMc30vMVpKUmjQ5O6x89kVTXBoqjWYJ/Nw5SR6x7Dzg 0GjGW/pGEjF27Nhh5VNWW9/O9/zQll/48N577/HXZWdn+1HJWRlFC/S9fUVA Q8G2bdv45qVx48aJE1zDfnmOqLKPopzi5cuXLzd98pw5c1gx03IaUpYtW0Za 0ZT+pZdeMl74MO5U0ElKwxEnC32C6bSPBwb5aYHipJkpESxaEFyS+lpPR3bD yg/VxRJXkzRgT/RfLcFXTkkW31uGRE6lp6efc6Gf0gEg/+j/XLdTSWprUAr6 LvGA3omZBkUq1V/hbV3nDEm6d+9ePiE2rPw8jElzcoFXUcL6Cs5JKp4e9Z+k Vhqz/72uBknK1y9ooPBdZSVJz/08Mguos0ydOnX16tU0HRLb+G9dfF2PKjlX /m493jItLc13S57rksu2vl1c4fJDhV8ncFbGgEm6fft2OmqrrFQrSSpm0eIq p4CmoMPKQ18sodmp8WywL6EnKfVicZzyySefmNZ6YJCfFkijPa8yJql1C5xK UhqKh/3yqMfjJD33y57ov1qCz4rTvMt3lThSE9HjbD8VOej/3Y9OJamtQcm9 JN21a5fpxh5qYDTHoMQ0biaSdMKECfwfqtB36rJx48aAagtz7Sapb2P2v9fV IEn5AoSYUBmxmKTkEXnne5fmK6+8Ii64+G9dfGcFy06di7es8Go1N9qRI0fa +nY+mqCx7u3KMd6o5raM/gcoOg4S/YU0oUGben1mZqa4xGklSY8cOcLLfZN0 /vz5w36ZpJMnT+aNaSHl7KeffkqZQtN+PtAe5kSSLl68mFdRZPv+ogcG+WmB 1E54lUhSWxY4laR8C2XVJqmxJ/qv9tzPrk2bNs13lRBKPBzkbD+lgOZfpwmP n511KkltDUruJem58geOOKRMzJ07V8xJRJIKaE7o+2yp2IzisjK1+XLzOftJ 6tuY/e91NUhSPvdO00vfVRaTlDlx4gRNROlwg/Tne2+Il156iedCflpXcXEx n1OaPXv2OcPFmgqfSKqsWv/fzkkR8K4VPzgro/8BipOOoP5rPG9GR4683Nkk FeeBqUOZHqtMSkriVb5JKu4SMVJZ8xCnT01P3wg8MMhWktqygJOU8L2SyOf9 4uLixJLgktT3cdfKCEUHU0/0Xy0xadKkYeUPzviuEr3YdCuLU/1UfP66dev8 bCaSNDk52bTKT5L6tm1bg5KrScocOHBgw4YN9PnGG2UpGXmtiEjaHfHkC81Y TK2Ipou86ssvvwz4jUjSgBXyiXSaB/qedbeVpEaKiorETe98zd1P6zLN82nu xD/63vdFflm5kO377eIiy/79+/38oh+cldH/AMXHBbGxsaaR2aUkpbGIt1yz Zo1pywqTlC94ifsrjFTYPPbs2cOu0RFHZTdgeGCQrSS1ZQE1VF7oex9IiEkq 7oG0fuNKKDr4HnH7b6h8yoIatumGE+Mv+rmJK5R+Shvwlv4fWiwoKKhsZytM 0sratq1ByYMkNSJuhhdliySlaQw1YHFmady4ccbRieLYioYMkjRghWL0M92a QhMYbuf+k5R6HxlnvNjBiPurxZ3YFbYuWi6erabJ6rnyx0ZefvnlYeVDvamH UoW8pbhz0uK3i7CgGZrvxjQA0pTVd7kRZ2X0P0DxiWLqnqa14mKNs0kqnlmg jzJuRhaLR7aNt0fyGUtxKa1CEYw3pImHW/28nMcDg2wlqS0LRN6ZHnqlH003 8JyzOfiI0d74liT/BK2Db0/0Xy1BUy9em5CQYFxOfvFZXJo78aNVjvdTOobl ByGpW/m+vygjI4MVo/Gf7xX/61//ajy3QO2T724a9sskraxt2xqU3EtSanWm S6Lnyick/HXiUNr0FAwVL56CodYlXtlE4ogXTVTYN9PT08XTXkjSgBVSoxLP 4C9ZsmTHjh00ntB/xEL/Sfr5558PKz+zQd1q165ddPBC00UaAfiSB7V2bvmi dVGDpLZHPYsOVWioEU9jGf9Yj5hlkdHUKU6cOEGtlxJBfII4Q2jx26kZiFAY P348fS/Nxw4ePJiWlvbhhx9yr/dzG63jMvofoESz/8c//kGl0kBBI4zxhQbO Jqm4L3H06NEpKSn0IyUL/ZbxkpbxmFRUQtuQJuTj6tWruXuamgfJTiHCS2iU 3uGDeJbcA4NsJaktC8RZMhJww4YNubm5X3zxhbi9algISSoOEmk2QnLRgdu2 chzRwUpP9N9QqXOJaRKpSn7Rh1MK832bwwxv/3Cjn5LUvOWoUaPoY+kD6QiU xOGzQ+ICn7gHgA54qTbymrwztm1jkvpp29YHJfeSNDY2loaR+Ph4yjj6diqM WoW4V1CcU6rwzQzi6ir1RDExFvfa0ccuWrSIpKCeSw2YPoob8OLFi3lLJKmV CsUAWCFWkrQyNm7cyJv5ee/HsPLTDsZz+MYR2ASN/8bb5yx++7ny8zN8qq0y Qhyobcnof4DKzs6u7JWDjLNJSnP1ytQWGJO0wlcLVvi2QOrs/j/WeKuz2wbZ SlJbFpCAYrg2Ij4h6CSljsDXIo049bbAyhwx9sSAN5lTpojLnSZoxBbHlS71 Uz83nIskFZc4K8OYpH7atvVBydUkrWwvXn/9dd87jox3GdGAIN68Qcfj4lZe cQWnQpCkAosVpqamGt91SXM2mk9+8MEHw3754KG4BUJcEsrPzycv+NSHyVnj u46NM2Hj6zfpixYsWGB6u865cuM++eQT8QYzhnwxndyw+O0MxQFZb3q0gYY7 mojSEYf/NyQ4KyMnDn218eXYRjZv3ize4sVQkXT4wIOz8QRyZR9FbZt/0fgO AYbrMT5JRG6aBqUxY8aQ13RMzR9ueviddspozZ/+9Ce+zmVqHpSnw/wyYcIE 48e6ahCNM6ye78sBqKnwdxlfTmXdgnPld22ZXgBLI8nu3bv5sQ5xA885v9bz J9AvGheSsKZPpolQKDrY6okBG+q5il7cSl2AftH42IV7/ZSOW02v86UdSUhI MF5ppeNKcWpoWPkxbHJysjjGNN0TXlnbPmd5UPLT0vwT0Dva2TfeeMM0x6P9 JbmMBonrNabL6zRHEu+fNE4F6SCUHDR9LJlFMwGRxTRd5IvIxumB3cbsZ6+r TZKeK28AND2jAYS2t/7iHQHNeXbu3Llt2zb61/euG+M8jT6cjlbIPrLJ/xfR 2n//+99btmyh7ub/tR7+v91345ycHJpOU3fzfUFKhXgmo+DEiRMkEfUd2nff OzrcgOKAJvA0u67swXkjtJtkHyUL7aZFDa3jqkHWsWUBDTU0cG3dupXi2H9b DQJq0lQJtauAZdg6NrfeEwNCM7esrCxu9n4aj0v9lEZyEmfHjh3UhivcEdqA PoqspNQLuKf+27b1QckuFtswlccvbCToP/7vH7AOuUY6U+slJQNa4yDVL0ld RcW/DmlEEhlBZcAgJpSz3KBq0bMNI0ltoXr/lURGUBkwiEGSqouebRhJagvV +68kMoLKgEEMklRd9GzDSFJbnDlz5rXXXvvb3/5m/LOYCiGJjKAyYBATUAfV e2I1Rs82jCTVCsgoOTCIgQ7qoqd3SFKtgIySA4MY6KAuenqHJNUKyCg5MIiB Duqip3dIUq2AjJIDgxjooC56eock1QrIKDkwiIEO6qKnd0hSrYCMkgODGOig Lnp6hyTVCsgoOTCIgQ7qoqd33wEAAAAAAAAAABJQ1cfH/uAKfwKhARklBwYx 0EFd9PQOSaoVkFFyYBADHdRFT++QpFoBGSUHBjHQQV309A5JqhWQUXJgEAMd 1EVP75CkWgEZJQcGMdBBXfT0DkmqFZBRcmAQAx3URU/vkKRaARklBwYx0EFd 9PQOSaoVkFFyYBADHdRFT++QpFoBGSUHBjHQQV309A5JqhWQUXJgEAMd1EVP 75CkWgEZJQcGMdBBXfT0DkmqFZBRcmAQAx3URU/vkKRaARklBwYx0EFd9PQO SaoVkFFyYBADHdRFT++QpFoBGSUHBjHQQV309C6UJD1y5IgboVkhbrvzn//8 x70Plwc9G7lCwCAGOqiLXe/KysoKCwsvXLjgXkkeEESSpqam9u3b94YbbggL C7vqqqsefPDBN954w9UYPWc/Sa9cudKzZ88OHTps377dz2br168fOHDgjTfe SPvSpEmTXr16zZkzJ2RR5cWKjHl5eT39Mm/ePG+q1ZCABqWlpfl3hxgyZIhn BbsEdFAXi2P1pUuX5s6de/vtt9euXZuG3/Dw8BYtWjzzzDOHDh3yoEjHsZuk 8fHxNWvWDPPhySefPHPmjDxJumLFCi7s888/r2ybxMTEWrVq+e7Ls88+e/ny ZSfUlQ4rMu7YscNXEyMjR470ploNCWiQaNh+aNWqlWcFuwR0UBcrgwwN6Xfd dZdwypgpFKxfffWVN6U6iK0k/frrr3lnr7766qlTp1JIvfvuu7/5zW944cSJ E6s8SZcvXz5jxozo6OgaNWpwVZUlaUZGBm/QrFmzN998c/PmzQsXLuzYsSMv nDZtmtNKS4GtJL3//vuHVcSyZcu8qVZDAhqUlZVVoSlM8+bNq0eCQAd1sTLI DBgwQEzLaewtLS3NycmhTKlbt25Y+enBEydOeFOtU9hK0qeeeop2k47j1q1b Jxbm5+ffdNNNtLx169bFxcVVm6R8ztlIZUn6/PPP8/wnLS1NLDx9+nTbtm1p eZs2ba5cueKYytJgK0mRmN4TyvXBoqKi+vXrk3E0k3S2Ku+BDuoS0Lvz58/z Qehjjz1mWhUfH8+DT0pKips1Oo/1JD127FiDBg1oH3v37m1aFRcXx7ufmppa tUn61ltvjS/niSee8JOkZGXDhg1p7aOPPmpaNXfuXP7F9evXOyOxTCBJJSeU BBkxYgS5FhERQdN7Z6vyHuigLgG9E+cDaaA2rRKDz8yZM92s0XmsJyklC+/j 66+/blollBk3blzVJqlAnIiuMEnT09N5Lc0BTKt2797NqyZNmhSSslKCJJWc oBOEfovn+YMHD3a8Ku+BDuoS0LuSkpLIyEjyKCoq6ocffjCuSkpK4sHH/52i EmI9SZcuXcr7uGrVKt+1fOvOM88840qOOp2kn376Ka+t8NI230s2fPjw4GWV FVtJGh8ff/jw4e+//760tNSb8kDQCdKvXz++8nLgwAHHq/Ie6KAuVrzr3bs3 DzLt27fPzc3lhZSqXbp0oYUtW7ZU7uKa9SSdM2cO7/vGjRt911511VV8YcKd IHU4SRcsWOBn5tOkSRNaRV0yeFllxVaSCsLDw6+99toXXnhh37593tSpLcEl yDfffMNOjRo1yo2qvAc6qIsV7woKCjp06CBGmJ49eyYmJnbv3j2s/H4bFU/L W0/SCRMm8F5nZGT4rqVZBK3q2LGjO0HqcJJOnTqV1+7evdt3Ld+21KlTp+Bl lZXgklQQGRlpvEELOE5wCdK5c2dyp169eseOHXOjKu+BDupi0Tsa1a+77jrT CFO3bt38/HwPinQc60k6duxY3tmsrCzftTSRUChJJ06cyGsrPMhq06aNzkla VFQ0Y8aM1NRUmjLRxunp6YsWLbrvvvtYsaZNmxYWFnpTrYYEkSArV65ka2iu 61JV3gMd1MWKdzSG8JBy6623zp49u2vXriJMo6KiMjMzvSnVQawn6Ztvvsl7 unXrVt+1NMDSql69erkTpA4n6TvvvMNrs7Ozfddec801tKpPnz7ByyorQV9+ IoYMGcKiJSUlOVsVENg1qLS0tF27djzDKS4udq8wj4EO6hLQOxrPW7RoQWbd cccdx48fF78VExMTHh4eVv6ihk2bNnlSrGNYT9LExEQeSI0Pkwr4XiwabF3J UaeTVLwghWYFvmt/9atf0aqnn346eFllJZQk3bt3L4s2ZswYZ6sCArsGiefv fO9CVxrooC4BvRNPTVKmmFaJO1h69OjhZo3OYz1J165dy/tIO2ta9e9//5tX xcbGKpGkNOHhtUuWLDGtOnr0KK8aN25cSMpKSShJeuHCBVZm0KBBzlYFBLYM KikpES/z+fHHH10tzGOgg7oE9I4GEB5JioqKTKtKS0v5SX8y1M0ancd6klJc 8qH3k08+aVqVkJDAytDMUIkkpbiMiIgIK3/FrmnVsmXLKpsvVQNCSdLs7GxW plo+aSsJtgyaPHkyO7Jw4UJXq/Ie6KAuAb0bPHgw+1XhKwH5LH3r1q3dqs8d rCcpQUfcYeUv3c3LyxMLi4uLH3zwQVpev359SiglkpR4+OGHw8pfumucF125 cqVXr160vEGDBjTRDVVc+bAiY0pKSoV/4Yif1Asrf5OVO9UBGwly7Ngxfide VFRU9fuDC9BBXQJ6N2vWLB5J6D+mVUeOHKlTp06Ygg8h2krSxYsXswKdOnXa tm0bZei+ffv43VzE0KFDXYpR60lK8Xe2HBrtuark5GReYkpGWs4bdOvWLTc3 lzKUTBwzZgwvfO6551yTvCqxIiPNImiCQfP8TZs2nTp16uLFi1lZWX369GFl 7r333rKyMm+q1RDrCTJ8+HB2RLk3lFoBOqhLQO/279/Pk5/IyEjj9bVDhw7x c0zh4eGrV692v1InsZWkp0+f7t+/f9jP8Hv7mVtuuWX37t1VnqT8ME6F0JTV uGVpaenjjz8u1tarV8+45eHDh12TvCqxmKRG3fiUPnP11Vfv2rXLm1L1xGI7 /+7nd+J17NjRg6q8BzqoixXvxFsBibZt20ZHR1OG8tFoWPmfFfOmVAexlaTn ys/ljh49mmcUDLXknj175ufnuxej1pOU/2Z3hdx2222mjek4dOzYscbgqFWr 1iOPPEITBnfErnqsyDh9+nTjnw4ULg8dOvTkyZPe1KktFtt5TEwM+7JhwwYP qvIe6KAuFr1LS0sTf8VS0K5du88++8yDIh3HbpIylKeZmZmJiYnr168/fvy4 ewEqsHud1DqUp3v27FmxYkV6enqF1werE9ZlPHHixI4dO1atWvXRRx/t3Lnz 4sWLbtcGfgrtlrDqBHRQF1veFRQU0CwoISFhzZo1eXl56l45Ci5JvQc9yxEg o+TAIAY6qIue3iFJtQIySg4MYqCDuujpHZJUKyCj5MAgBjqoi57eIUm1AjJK DgxioIO66OkdklQrIKPkwCAGOqiLnt4hSbUCMkoODGKgg7ro6R2SVCsgo+TA IAY6qIue3iFJtQIySg4MYqCDuujpHZJUKyCj5MAgBjqoi57eIUm1AjJKDgxi oIO66OkdklQrIKPkwCAGOqiLnt4hSbUCMkoODGKgg7ro6d13AAAAAAAAAACA BFT1GVx/cIVVfQSvPJBRcmAQAx3URU/vkKRaARklBwYx0EFd9PQOSaoVkFFy YBADHdRFT++QpFoBGSUHBjHQQV309A5JqhWQUXJgEAMd1EVP75CkWgEZJQcG MdBBXfT0DkmqFZBRcmAQAx3URU/vkKRaARklBwYx0EFd9PQOSaoVkFFyYBAD HdRFT++QpFoBGSUHBjHQQV309A5JqhWQUXJgEAMd1EVP75CkWgEZJQcGMdBB XfT0DkmqFZBRcmAQAx3URU/vkKRaARklBwYx0EFd9PQOSaoVkFFyYBADHdRF T++qa5KWlZUVFhZeuHDBPelURM9GrhAwiIEO6qKnd0EnaXFx8QMPPHDPPfds 3LjRpfQ0YtGdS5cuzZ079/bbb69du3ZYWFh4eHiLFi2eeeaZQ4cOeSCm/ATX yI8cOfK73/2uZ8+eM2fOdKMqIIBBTEAd0tLSegZiyJAhnhUMBHp6F3SSJiYm hpWTkpLiUnoasTLC0GZ33XVX2M/UrFlT/J+C9auvvvJGUpkJYqAuKSmh+RLL OGjQIJcKAwwMYgLqsGLFirBAtGrVyrOCgUBP7+wm6aJFiyZPnvzII49ERETI lqQDBgzgkkaOHLl58+bS0tKcnJypU6fWrVuXFjZp0uTEiRPeqCotQZwkf/TR R0XzrjYDtbTAICagDllZWcMqp3nz5iqOxtUDPb2zm6QtW7Y0TR4kSdLz58/z Qehjjz1mWhUfHy9KdVNLBbA7UL/00kvGo/tqM1BLCwxiQrnWVlRUVL9+fVIj Ojra2aqAFfT0zm6STps27eVyxAGgJEmakZHB9YwfP960aseOHbyq2lxFChpb jXzu3Lms2/z582+44YbqNFBLCwxiQhmNR4wYQVJERETk5OQ4WxWwgp7eBX2d dM2aNVIlaUlJSWRkJNUTFRX1ww8/GFclJSVxqdu3b3dZTtmx3shXr15do0YN Eu3VV1+lH6vZQC0tMIgJejSm3+Ij9MGDBzteFbCCnt5VmyQlevfuzSW1b98+ NzeXF1KqdunShRa2bNnyypUr7isqNRYbeXZ2doMGDUi0/v37s2jVbKCWFhjE BD0a9+vXj3SoVavWgQMHHK8KWEFP76pTkhYUFHTo0EFcwO3Zs2diYmL37t3p /61bt1budIEbWJGxsLCQr4aTmOLovpoN1NICg5jgRuNvvvmG+/6oUaPcqApY QU/vqlOS/lT+IMx1111nuieqbt26+fn5HogpP1ZOkt9999089zh27JhYXs0G ammBQUxwo3Hnzp1JhHr16hmVAR6jp3fVKUlprn7fffdRSbfeeuvs2bO7du0q wjQqKiozM9MbSWXGv4xlZWXR0dEkV6NGjXbu3GlcVc0GammBQUwQo/HKlSu5 s0+YMMGlqoAV9PSu2iQpbdOiRQuq54477jh+/LjYu5iYmPDw8LDyJwU2bdrk iajy4l/GtLQ09jQ5OfnML2Ft+/Xrxz/SkO5l2foAgxi7o3FpaWm7du1IgaZN mxYXF7tXGAiInt5VmySNi4vjehITE02rFixYwKt69OjhppYK4F/GLVu2hFmD hnQvy9YHGMTYHY3FM+M0DrhXFbCCnt5VmyQdNGgQ11NUVGRaRXOehg0b0qrm zZu7qaUCODVQ05Zelq0PMIixNRqXlJSIF+P8+OOPrhYGAqKnd9UmSQcPHsz1 VPhKQD570Lp1a7d0VAT/Ml6+fPlYJfB9XH379uUfaUsvy9YHGMTYGo0nT57M fX/hwoWuVgWsoKd31SZJZ82axfXQf0yrjhw5UqdOnbDyq0huaqkAdk+8CKrZ DS3SAoMY6zrQtIHfLxcVFaX6/KF6oKd3dpP06NGjBeUsX76ck2vx4sW8hFZV YZLu37+fTYmMjFyyZIlYfujQIb6/Ojw8fPXq1e4rKjUYqCUHBjHWdRg+fLiY 0rtdFbCCnt7ZTdJWrVpVdmnmlltuqcIk/cnwVkCibdu20dHRlKF8NEpMnDjR G0llBgO15MAgxqIO3/38frmOHTt6UBWwgp7e2U1S7rAVcuutt1Ztkv5U/pgA +WIqrF27dp999pkHYspP0AP1jTfeSErGxMQ4XhIwAoMYizrQ/nIf37BhgwdV ASvo6V3Q10k9xtYIU1BQQO4kJCSsWbMmLy9P9WfrHCTogRp4AwxioIO66Old tUxSUBmQUXJgEAMd1EVP75CkWgEZJQcGMdBBXfT0DkmqFZBRcmAQAx3URU/v kKRaARklBwYx0EFd9PQOSaoVkFFyYBADHdRFT++QpFoBGSUHBjHQQV309A5J qhWQUXJgEAMd1EVP75CkWgEZJQcGMdBBXfT0DkmqFZBRcmAQAx3URU/vkKRa ARklBwYx0EFd9PQOSaoVkFFyYBADHdRFT++QpFoBGSUHBjHQQV309O47AAAA AAAAAABAAqr6DK4/uMKqPoJXHsgoOTCIgQ7qoqd3SFKtgIySA4MY6KAuenqH JNUKyCg5MIiBDuqip3dIUq2AjJIDgxjooC56eock1QrIKDkwiIEO6qKnd0hS rYCMkgODGOigLnp6hyTVCsgoOTCIgQ7qoqd3SFKtgIySA4MY6KAuenqHJNUK yCg5MIiBDuqip3dIUq2AjJIDgxjooC56eock1QrIKDkwiIEO6qKnd0hSrYCM kgODGOigLnp6hyTVCsgoOTCIgQ7qoqd3SFKtgIySA4MY6KAuenqHJNUKyCg5 MIiBDuqip3dBJ+nJkycPHz7sUm76oqc7jmNXxitXrpD47tUDTNg16PLly9QT ySb3SqoS7OpQVlZWWFh44cIF90oCFnF7rP7Pf/7j3ocHja0k3b179+uvv96l S5cWLVqEh4eHhYU1bNjw7rvvfu+9986ePVvlSZqXl9fTL/PmzfNGVWmx2Mhp ZI6Pj+/cuTP5Sy43a9ase/fua9eu9aBCzbFi0KlTpz744IPevXu3adOmZs2a ZFCtWrVuvPHGV199NT8/35s63cZiQ7106dLcuXNvv/322rVrkw40KNHQ9Mwz zxw6dMiDIkGFBDFdp8G5Q4cO27dv97PZ+vXrBw4cSO2cjG7SpEmvXr3mzJkT crGOYStJqcWGVUKnTp2og1dtku7YsaOy8piRI0d6o6q0WJHxxIkT3bp1q1DA oUOHelKmvlgxqF+/fpW18KZNm+7atcubUl3Fig40LNx1111i33lSwVCwfvXV V96UCkzYTdIVK1awa59//nll2yQmJtJ00bfBP/vss5cvX3ai6lAJIklvu+22 sWPH/vOf/5w/f37fvn3r16/POxUbGytJkt5///3DKmLZsmXeqCotVmTs378/ yxgdHU3HoTk5OYsXL27dujUvXLJkiTel6on1JKXJ+SuvvJKQkECRQf/ed999 bBB1Um9KdRUrOgwYMEDMkDdv3lxaWkptderUqXXr1g0rP2yhOaE31QIjFpN0 +fLlM2bMoEGmRo0a/pM0IyODN2jWrNmbb75JXi9cuLBjx468cNq0aU7vQTDY StJRo0ZRGBUXFxsXZmdnc5hS13YtSO0lKRKzMgLKuGrVKtYwJibGuPzkyZNX X301Lb/22mvPnDnjcpn6YqWdT58+neY2FBzGhZcuXRJjS1FRkZs1ekFAHc6f P88HoY899phpVXx8POuQkpLiZo2gYiwm6Q033GA6wKwsSZ9//nk+z5CWliYW nj59um3btrS8TZs2MtwnYCtJK6NPnz4sxffff+9gehpBkjpCQBljY2NZQ98r bvPnz+dV77//vps1ao3dM2NGxo8fzwZlZWU5W5X3BNRBHKfQXptWiXFg5syZ btYIKsZiG37rrbfGl/PEE0/4SVKaMvHdGo8++qhp1dy5c/kX169f70zpIeBI kvbt21dMhh1MTyNIUkcIKGOPHj1IwMaNG/uuOnz4MMv71FNPuVag7oSSpA8/ /DC5U6dOnWpwC2tAHUpKSiIjI2l/o6KifvjhB+OqpKQkbqj+72ABLmG3DX/9 9dd+kjQ9PZ3XxsXFmVbt3r2bV02aNCmkip0g9CQ9c+ZMy5YtaXeuu+46Z9PT iK0kjY+Pp2GfDpBNZ8BAQBn5XqP69ev7njApKyvji/4PPfSQmzVqTRBJSr5Q y3/xxRe58U+dOtWl2rzEig69e/fmXW7fvn1ubi4vpFTt0qULLaRBSYaTfhri bJJ++umnvLbCW8j4nu3hw4cHX65DhJ6k8+bN4z0dNWqUs+lpxFaSCsLDw6+9 9toXXnhh37593ugpOQFlHD16NEu3c+dO37U8ZerQoYNrBeqOrVHoyJEjPXr0 aNKkCVtGx2gUo9UjPqzoUFBQQE1RdPaePXsmJiZ2796d/t+6deucnBxvSgUm nE3SBQsW+DnDwI2/X79+wZfrECEmaWZmJt9uRP/u2bPH8QAVBJekAhpkjFer tSWgjOLMGM3zTXcWkdd801HXrl1dLlNfbI1CtKWxkT/22GPVJj4s6kAjw3XX XWfq7HXr1q02z9WqiLNJSpNDXrt7927ftXzbUqdOnYIv1yFCSVL6lTZt2vBu JiQkuJCfv/iugO4UFRXNmDEjNTU1IyODNk5PT1+0aJF4OqBp06aFhYXeqCot AWUsLS2luT0r1qhRoyeffHLs2LF//OMf77zzTjFSPf74454VrBu2RqHTp0// 7W9/i42N7d+/Pz/6UaNGjfj4eFcr9AYrOlB35t596623zp49myZ4oolGRUXR xM+bUoEJZ5N04sSJvLbC84ocQEon6f79+//rv/6L93HSpEkuBaggiOtHgiFD hnCddMDlrHrKYUXGs2fP8pUmE3xql/jLX/7iTbUaEnQ7P3nyJD/uXbt27Wpw LSOgDjQmtGjRgvb3jjvuOH78uPitmJgYfv1azZo1N23a5Emx4Bc4m6TvvPMO r83OzvZde80119CqPn36BF+uQwSXpLt27RIxOn78eNfy8/8TSpLu3buXSx0z Zoyz6imHdRk3bNjw8ssv/+EPfxgwYAAdlq5YsSIrK4tlrB5HPXISSjsXzwIv WLDA2aq8J6AOcXFxvLOJiYmmVeLKWo8ePdysEVSMs0kq3oC0detW37W/+tWv aNXTTz8dfLkOEUSSbt++nWeDxBtvvOFqgApCGWEuXLjA1Q4aNMhZ9ZQjFBnn zJnDMmZkZDhbFRCEYpC4bFoNZowBdaC+zDvr+xqK0tJSfgKxefPmbtYIKsbZ JN20aROv9X272tGjR3nVuHHjQqrYCewm6erVqxs3bswnT95//323A1QQygiT nZ0tzkI7q55yBC3jmTNnaFwiDR988EHHqwKCUNr5l19+Kea3zlblPQF1GDx4 MO9sha8EbNeuXVj5Hbxu1Qcqx9kkpbiMiIgIK3/FrmnVsmXLKjsv4T22kvS9 997jJwobNWqUmprqQYAKrLiTkpJS4TPp4o3fVLM7KipDcAP1+fPnxTtON2/e 7EZhgAlo0MmTJ2kA8X1Q+sqVKw899BB7VA1e3h5Qh1mzZvHO0n9Mq44cOVKn Tp0wOR6O0BBnk/Snn1850qxZM+P5B2rwvXr1ouUNGjQoKSkJteiQsZ6kGzZs CPuZv//97x9XxLp166owSUlSUnvy5MmbNm06derUxYsXs7KyxJsM77333rKy Mm9UlRYrMlJuJiUlUaO9fPnyvn37li5devPNN7OGvu84Bc4S0KCcnBw+2nrr rbe2bt165syZH374IS0tTdxxfffdd1+6dMmzgl0ioA779+/n5+8iIyON5/0O HTrUuXPnsPJnyVevXu1+pcCMxSSl+DtbDh3gcNNNTk7mJaZkpOW8Qbdu3XJz cylDabI0ZswYXvjcc8+5tis2sJ6k1CzDAnHLLbdUbZIai+Fb+Jirr766evy1 qRCxIqN4K6CRiIiIKVOmVI+n/mXGYpJWxlVXXbVnzx7PqnUPKw1VPPtMtG3b Njo6mjKUj0aJiRMnelMqMGExScWfl/IlKirKuGVpaenjjz8u1tarV8+4JY1X ru2KDawn6dq1a/10YaZdu3ZVmKTTp083/r1CpmbNmkOHDj158qQ3ekpOEElK h/kPP/zwunXrvKlQcwIaRH1h6tSpvu2cpjo0Oa82f0fM4mhMB+PiL+AYR6HP PvvMgyJBhVj0jv9md4Xcdtttpo1pDj927FjjsVKtWrUeeeSR06dPu7MTtrF1 nbQKsX7unQaTHTt2rFq16qOPPtq5c+fFixfd1lAhrMhYVlaWmZn5ySefrFmz Bu+y8Bjr7fzs2bPZ2dnUzj/++OPc3Nxq8NZ6I7autRUUFGzYsCEhIYFabF5e Hi7iVC12r5Nah/J0z549K1asSE9Pl63BV78kBX6AjJIDgxjooC56eock1QrI KDkwiIEO6qKnd0hSrYCMkgODGOigLnp6hyTVCsgoOTCIgQ7qoqd3SFKtgIyS A4MY6KAuenqHJNUKyCg5MIiBDuqip3dIUq2AjJIDgxjooC56eock1QrIKDkw iIEO6qKnd0hSrYCMkgODGOigLnp6hyTVCsgoOTCIgQ7qoqd3SFKtgIySA4MY 6KAuenqHJNUKyCg5MIiBDuqip3ffAQAAAAAAAAAAElDVZ3D9wRVW9RG88kBG yYFBDHRQFz29Q5JqBWSUHBjEQAd10dM7JKlWQEbJgUEMdFAXPb1DkmoFZJQc GMRAB3XR0zskqVZARsmBQQx0UBc9vUOSagVklBwYxEAHddHTOySpVkBGyYFB DHRQFz29Q5JqBWSUHBjEQAd10dM7JKlWQEbJgUEMdFAXPb1DkmoFZJQcGMRA B3XR0zskqVZARsmBQQx0UBc9vUOSagVklBwYxEAHddHTOySpVkBGyYFBDHRQ Fz29Q5JqBWSUHBjEQAd10dM7JKlWQEbJgUEMdFAXPb0LOknPnDlz8ODB4uJi l6LTRNDuXLly5fz5847rpih6NnKFsGvQxYsXqSe6V09VgYaqLm5795///Me9 Dw8aW0l66NChd99996GHHmrdunWNGjXCwsJq1qx5ww03jB49eteuXfIk6eXL lz/88EOqqmvXrg0aNKA6IyMjk5OTXVVSCQLKmJaW1jMQQ4YM8axg3bDSzg8f PhwXF3f//fe3bNkyIiKCmnejRo1++9vfLlq0qKyszJs63Sa40fjIkSO/+93v qInOnDnTjaqAFex6Rwc7ZFmHDh22b9/uZ7P169cPHDjwxhtvpAbfpEmTXr16 zZkzJ+RiHcNWkkZHR4dVAu0a6SBDkhYVFT3wwAO+FS5YsMBtMeUnoIwrVqyo zGJBq1atPCtYN6y08zvuuKMya7p163bp0iVvSnWVIJK0pKTknnvuYR0GDRrk UmEgIHa9E2PO559/Xtk2iYmJtWrV8m3wzz77LB03OVF1qASRpHQQ+uKLL86b N2/VqlX0L80leKfatWtX5UmamZl5/fXXcz2dOnWaMmXKxx9/vHz58jFjxvix SR8CypiVlTWscpo3b44kdRXrSdq+ffuJEycuXbp08eLFNFfncy/EuHHjvCnV VeyOxnQw/uijj4oBFklahVj0joblGTNmUKbw6U0/SZqRkcEbNGvW7M0339y8 efPChQs7duzIC6dNm+b0HgSDrSSdNGnS/PnzT58+bVx46tSp3/zmN7xTeXl5 VZikV65cufPOO6mMOnXqvPvuu/SjNxoqRCiXMOhgv379+iQvNX5nqwICKwbF xsbSJNbUvPfv389hetNNN7lZoEfYbagvvfRSWPnFJiRplWPROzoiMx1gVpak zz//PK2tXbt2WlqaWEgx1LZtW1repk0bGYZ6W0laGS+//DJLsWXLFgfT04gV d1JSUriM119/3Rv1lCOUJB0xYgRpGxERkZOT42xVQBCKQX379uX2X1xc7GxV 3mNLh7lz5/KO0zyfx2ckaRVi0bu33nprfDlPPPGEnyQ9f/58w4YNae2jjz5q WiV8X79+vTOlh4AjSdqjRw+eMxw/ftzB9DQS0B2altx11118krm0tNQzAdUi 6IGafosn/IMHD3a8KiAIJUkHDhxIBoWHh//www/OVuU91nVYvXo1nx589dVX f/r5SAdJWoXYbcNff/21nyRNT0/ntXFxcaZVu3fv5lWTJk0KqWInCCVJz549 u3nz5j/96U+8OxMmTHAjQ5mA7hQWFnIZY8eOvXDhQkZGxtKlS2mOmpqaevjw Yc/0lJygB+p+/fqRtrVq1Tpw4IDjVQFB0AZdvnyZQ+T66693vCrvsahDdnY2 n9Pu378/n+JDklY5zibpp59+ymu/+uor37V0+Earhg8fHny5DhFcku7bt+/+ +++/6qqreB/r1KlDMerqs6UB3fnmm2+4mA4dOlxzzTXG0+90MBUTE3Py5EnP VJWW4AZqoe2oUaPcqAoIgk7ShIQE9ig2NtbxqrzHig40eW7ZsiV3eXEYjiSt cpxN0gULFvDaCp+RadKkCa2ieX7w5TpEcEm6Y8cOY1T993//Nw227sXoOQtJ SkegxpIaNWr061//+qabbhJLunbt+uOPP3omrJwEN1B37tyZBKxXr96xY8fc qAoIgjNoz549fGhG/xYUFLhRmMcE1KGkpOTuu++mXW7durWxWSJJqxxnk3Tq 1Km8dvfu3b5r2e5OnToFX65DBJek+fn5f/7zn+kI5fe///2vfvWrsPIbUWbP nl2FSTpjxgwW/Mknn8zOzhbLSX/ucXzi131FpSaIgXrlypXi7L1LVQFBEAbR odnNN9/MHi1btsylwjzGvw5lZWX8RB5NmHfu3GlchSStcpxN0okTJ/Laffv2 +a5t06aN0klq5ODBg+3ateOLaFlZWc4GqCCgO6+99hoLnpeXZ1pFQ03jxo35 LJCbWiqA3UZeWlrK5jZt2rQa3BEqP3YNosOxW2+9lVv+9OnT3SvMY/zrkJaW xrucnJx85pe0aNGCT/fxj9XmpU8K4WySvvPOO7zWeHwk4At5ffr0Cb5chwg9 SQmaCfPOzpkzx7nw/AUB3UlMTOQajM8cCXr27BlW/s5AzW/rtdvI4+PjWVXf G+eAG9gyKD8/n+c5xOTJk10tzGP867Bly5Ywa1Q4GgBXcTZJxRuQtm7d6ruW z4g+/fTTwZfrEI4kqbhsOmLECAfT00hAd0hnrmHx4sW+awcNGsRrNX+bva1G XlJSIl5qhEvM3mDdoF27dvH9NuHh4VK9gNQRnEpS2tLLssFPTifppk2beO2S JUtMq44ePcqrZHivlyNJKm5UnjJlioPpaSSgO0VFRVzDmDFjfNd269YtDK+5 s9nI6TCHJV24cKGrVQGBRYM2btzId87XqlUrKSnJg8I8xr8Oly9fPlYJ1113 HcnSt29f/lGSl7JqhbNJSnHJf6bh2WefNa0S50ITExNDqtgJrCfpwYMHExIS TK8KJIqLi7t37857tGrVqqpKUoLfX12nTh3Tlrm5ufzstu9bMnTDeiOnUYjf DRgVFYXhyDOsGLRo0SJ+jK5x48YyvN3FDeyOxgLccVTlOJukxMMPPxxW/tJd OlwSC69cudKrV6+w8vvVS0pKQi06ZKwnKT9USId106ZNW7du3eHDh2m/6D/i D6/ceeedp06dqsIkTU9PDw8PDyt/zdG2bdt44ZYtW/j1jDT4UKS6r6jUWG/k w4cPZ1tTUlLcrgoIAhr07bffilOXs2bNWlsRFV5RUgskqbpY9I7i72w5qamp 3J6Tk5N5iSkZaTlv0K1bNxrDKUOPHDkyZswYXvjcc8+5tis2sJuklUHT48zM TJdi1GKS/vTzu2GZJk2a8Asbw8qvJb399tse6Ck5FmX87ud3A3bs2NGDqoAg oEEbN2700w2ZqKgozwp2CSSpulj0rnXr1hYbcGlp6eOPPy7W1qtXz7ilJK+w s56khYWFEyZMaN++vWmvKaSGDh168OBB92LUepL+VP6yl6ZNm5p8wY0HjEUZ Y2JiWLoNGzZ4UBUQBDRI3IDhh9tvv92zgl0i6CTlvwRNDdjxkoBFLHrHTlXI bbfdZtqYjkPHjh0r/nRgWPkdAo888sjp06fd2QnbWE9SQUFBwdatW5ctW5aU lLRt2zb33lpvxFbPKisr27dv3yeffLJ27VqaALgqoFoEPUABb4BBDHRQF/e8 ozzds2fPihUr0tPTL1y44MZXBE0QSVoloGc5AmSUHBjEQAd10dM7JKlWQEbJ gUEMdFAXPb1DkmoFZJQcGMRAB3XR0zskqVZARsmBQQx0UBc9vUOSagVklBwY xEAHddHTOySpVkBGyYFBDHRQFz29Q5JqBWSUHBjEQAd10dM7JKlWQEbJgUEM dFAXPb1DkmoFZJQcGMRAB3XR0zskqVZARsmBQQx0UBc9vUOSagVklBwYxEAH ddHTOySpVkBGyYFBDHRQFz29+w4AAAAAAAAAAJCAqj6D6w+usKqP4JUHMkoO DGKgg7ro6R2SVCsgo+TAIAY6qIue3iFJtQIySg4MYqCDuujpHZJUKyCj5MAg Bjqoi57eIUm1AjJKDgxioIO66OkdklQrIKPkwCAGOqiLnt4hSbUCMkoODGKg g7ro6R2SVCsgo+TAIAY6qIue3iFJtQIySg4MYqCDuujpHZJUKyCj5MAgBjqo i57eIUm1AjJKDgxioIO66OkdklQrIKPkwCAGOqiLnt4hSbUCMkoODGKgg7ro 6R2SVCsgo+TAIAY6qIue3iFJtQIySg4MYqCDuujpXXVN0itXrtBvuaebokBG ydFzFPIlaB2oxZ4/f97xeoB19GzDISbpvn37Hn744QceeGDKlCkOZ+cvsegO 9aP4+PjOnTs3bNgwLCysWbNm3bt3X7t2rQdKKgFklJwgpjo9e/bs0KHD9u3b nd24arGlw+XLlz/88MPRo0d37dq1QYMG1GIjIyOTk5NdrRBURkDv0tLSegZi yJAhnhXsCKEk6dGjR++6666wcgYOHOhGgAqs9KwTJ05069YtrCKGDh3qiZyy Axklx26Srlixgq35/PPPnd24arGuQ1FREc3kfdvqggUL3C4SVEhA70Q79EOr Vq08K9gRgk7Ss2fP9u7dW+y4DEnav39/LiY6OpoOoHJychYvXty6dWteuGTJ Em8klRnIKDkWE2T58uUzZswgg2rUqBEwHG1tLAkWdcjMzLz++ut5pzp16jRl ypSPP/6Y9nfMmDHy72N1JaB3WVlZwyqnefPmWiXpyJEjaX9F36zyJF21ahVX EhMTY1x+8uTJq6++mpZfe+21Z86ccVlO2YGMkmMxQW644QbTHN5PcNjaWBKs 6HDlypU777yTdqdOnTrvvvsu/ehNbcA/oVwnLSoqql+/Pk/jna3KbYJL0ri4 OO6Sb7/9dsuWLWVI0tjYWC4pPz/ftGr+/Pm86v3333dTSwWAjJJjcRR66623 xpfzxBNPBAxHWxtLghUdUlJSeHdef/11b6oCVgglSUeMGEGGRkRE5OTkOFuV 2wSRpMnJybSntL+jR4+mHyVJ0h49elAZjRs39l11+PBh7nFPPfWUa0KqAWSU HLuj0Ndff209HG1tXLUE1IGOQPkmjXbt2pWWlnpWGAhI0ElKv1WzZk3ydPDg wY5X5TZ2k3Tr1q189P373/++uLhYniTlm2SoNt+TPGVlZbVq1aK1Dz30kJta KgBklBwkKRNQh8LCQt6XsWPHXrhwISMjY+nSpfPnz09NTaUpn2d1Al+CTtJ+ /fqRoTTIHDhwwPGq3MZWktI2LVq0oJ295557ioqKeKEkSUoHyNyzdu7c6buW i+zQoYNrQqoBZJQcJCkTUIdvvvmG94Va4zXXXGO8CkzHNTExMSdPnvSsWmAk uCQVho4aNcqNqtzGepIePXqUr++3atVq//79YrkkSZqUlMRGtG/f3nRLTGZm Jt8t07VrV5fllB3IKDlIUiagDnQEakzPRo0a/frXv77pppvEEmqlP/74o2cF A0FwSdq5c2dyrV69eseOHXOjKrexmKRnz5595JFHaE8bNmz47bffGldJkqSl paU9e/YU3erJJ58cO3bsH//4R05/5vHHH/dMWDmBjJKDJGUC6jBjxgzeF2qi 2dnZYvnu3bvvvvtuceLX/UqBmSCSdOXKlWzZhAkTXKrKbSwm6bp163hPFy9e fPiX8OM/0dHR/CNlbpUkKUFf3aVLlzAfOOuJv/zlL96oKi2QUXKQpExAHV57 7TXel7y8PNOqwsLCxo0bh+EyRBVhtw3T7L1du3bkV9OmTYuLi90rzFUsJukX X3zhO7RWCGVuVSUps2HDhpdffvkPf/jDgAEDaFK6YsWKrKwsri0+Pt5tPSUH MkoOkpQJqENiYiLvS1pamu9aPq8SGRmJ23q9x24bpvGErYyLi3OvKrdxPElp y6pNUl/mzJnDtWVkZDirnnJARslBkjIBddi6dSvvy+LFi33XDho0iNfibfbe Y6sNl5SUiJcaKX1d22KSnjlzZn8lXHvttaRDnz59+EfaUqokpXrYqQcffNBx 9ZQDMkoOkpQJqENRURHvy5gxY3zX8sNcyr1xrnpgqw1PnjyZfVy4cKGrVbmN xST1gyR3HFUIzUgHDBjATm3evNkNAdUCMkoOkpSxosM999wTVv6qQNOWubm5 /BbTRx991M0aQcVYb8PHjh3jtxNERUVdvnzZ7cJcpTolKQ34SUlJNFklU/bt 27d06dKbb76Zh47HHnvMGz0lBzJKjsVRqKSk5Gw5qampbE1ycjIvoVWhbCwJ VnRIT08PDw8PK3/N0bZt23jhli1b2rZtSwtr165Nkep+pcCM9SQdPnw4N8iU lBS3q3Kb6pSk4nV2RiIiIqZMmYK3WzOQUXIsjkLiT/P4QtP7UDaWBIs68Gta mSZNmvCf0yUoYd9++20P6gS+WPTuu5/fDdixY0cPqnKb0JOU/9LEH/7wB2ej 00QQEdCsWbOHH3543bp13iipBJBRciyOQjfeeGNl4XjbbbeFsrEkWD+uSUhI aNq0qWl6QEemblcIKsOidzExMezXhg0bPKjKbUJPUm+w4k5ZWVlmZuYnn3yy Zs2awsJCbwRUC8goOcFdyK5+2NKBWuy+ffuoxa5duxYttsrRsw1XpyQFAYGM kgODGOigLnp6hyTVCsgoOTCIgQ7qoqd3SFKtgIySA4MY6KAuenqHJNUKyCg5 MIiBDuqip3dIUq2AjJIDgxjooC56eock1QrIKDkwiIEO6qKnd0hSrYCMkgOD GOigLnp6hyTVCsgoOTCIgQ7qoqd3SFKtgIySA4MY6KAuenqHJNUKyCg5MIiB Duqip3dIUq2AjJIDgxjooC56eock1QrIKDkwiIEO6qKnd98BAAAAAAAAAAAS UNVncP3BFVb1EbzyQEbJgUEMdFAXPb1DkmoFZJQcGMRAB3XR0zskqVZARsmB QQx0UBc9vUOSagVklBwYxEAHddHTOySpVkBGyYFBDHRQFz29Q5JqBWSUHBjE QAd10dM7JKlWQEbJgUEMdFAXPb1DkmoFZJQcGMRAB3XR0zskqVZARsmBQQx0 UBc9vUOSagVklBwYxEAHddHTOySpVkBGyYFBDHRQFz29Q5JqBWSUHBjEQAd1 0dM7JKlWQEbJgUEMdFAXPb1DkmoFZJQcGMRAB3XR0zskqVZARsmBQQx0UBc9 vUOSaoVdGS9evHjmzBn36gEm7BpUVlZWWFh44cIF90qqEtDf1UVP72wlaU5O zgN+mTVrVhUmaV5eXk+/zJs3zxtVpcWKjIcPH46Li7v//vtbtmwZERERFhbW qFGj3/72t4sWLaJx25s6tcXiKHTp0qW5c+fefvvttWvXJoPCw8NbtGjxzDPP HDp0yIMiPQD9XV0CepeWlubfOGLIkCGeFewItpJ08+bNYX557rnnqjBJd+zY 4b+8kSNHeqOqtFiR8Y477qhMwG7dutEY7k2pemLFIOoOd911lzClZs2a4v8U rF999ZU3pboK+ru6BPRuxYoV/o0jWrVq5VnBjhBcknbp0uWPFZGQkCBDktLx 1LCKWLZsmTeqSov1JG3fvv3EiROXLl26ePHigQMHNmjQgLUdN26cN6XqiRWD BgwYIJKCumRpaWlOTs7UqVPr1q1LC5s0aXLixAlvqnUP9Hd1CehdVlZWhX4x zZs31ydJ3UvMyrDVs9CDKsOKjLGxsatWrbpy5Ypx4f79+zlMb7rpJjcL1J2A Bp0/f54PQh977DHTqvj4eG7/KSkpbtboBejv6hLKddKioqL69euTp9HR0c5W 5TZIUq0IpZH37duX5S0uLna2KiAIaFBGRga7MH78eNMq0f5nzpzpZo1egP6u LqEMMiNGjCBDIyIicnJynK3KbZCkWhFKIx84cGBY+c0tP/zwg7NVAUFAg0pK SiIjI8mIqKgokxFJSUnc/rdv3+5yma6D/q4uQQ8y9Ft8vmXw4MGOV+U2wSXp 7Nmzd+/evXfv3tOnT3sQo+dsJml8fPzhw4e///770tJSb2RUhaAb+eXLl2+4 4QbS9vrrr3e8KiCwYlDv3r25nbdv3z43N5cXUqp26dKFFrZs2dJ0Zl5F0N/V JehBpl+/fuRmrVq1Dhw44HhVbhNckhq55pprnn/++aysLHmSVEAHUNdee+0L L7ywb98+b/SUnKAbeUJCAksaGxvreFVAYMWggoKCDh06iEbes2fPxMTE7t27 0/9bt26t3GmxCkF/V5fgBplvvvmGTRw1apQbVblN6EnK1KlTZ926dbIlqSAy MjItLc0bSWUmuEa+Z88evt2I/qVh3I3CAGPRIOoR1113namR161bNz8/34Mi PQD9XV2CG2Q6d+5MxtWrV+/YsWNuVOU2tpI0Ly9v8uTJy5cv//rrr6kZr1+/ /r333hPT4yZNmlj5EPeStKioaMaMGampqRkZGbRxenr6okWL7rvvPi6vadOm hYWF3qgqLUE0chLt5ptvZg1xQcptrBhEjnCrvvXWW2fPnt21a1eRIFFRUZmZ md6U6iro7+oSxCCzcuVKdm3ChAkuVeU2tpK0Mh5//HHW4f3333cwPY0EfVqS GDJkCJeXlJTkrHrKYVdGmh/ScM3qTZ8+3b3CABPQIOoLLVq0IDvuuOOO48eP i9+KiYkJDw8PK39Rw6ZNmzwp1kXQ39XFrnelpaXt2rXjyY+6zwU4kqQ0Deam O2LECOfC8xeE0rP27t3L5Y0ZM8ZZ9ZTDloz5+fncwonJkye7WhhgAhoUFxfH jiQmJppWLViwgFf16NHDzRq9AP1dXex6J56DprbtXlVu40iS0tyYpRg4cKCD 6WkklJ514cIFLm/QoEHOqqcc1mXctWtXy5Ytw8rv4pgzZ47bhQEmoEHUhrkx FxUVmVbR3L5hw4a0qnnz5m7W6AXo7+piy7uSkhLxUqMff/zR1cJcxZEk3bp1 KzfdcePGOZieRkLpWdnZ2VzepEmTnFVPOSzKuHHjxquuuiqs/I50nCLzkoAG DR48mBtzha8E5HMIrVu3dqs+r0B/Vxdb3k2ePJnNWrhwoatVuY2tJP3www/p 8NN3eXR0NKuxfPlyF1L0/7DiTkpKSoV/XoofUyJSU1PdUVEZrMi4aNEi/gsj jRs3Xr9+vTeFASagQbNmzeLGTP8xrTpy5EidOnVoFTV4N2v0AvR3dbGepMeO HeN3A0ZFRV2+fNntwlzFVpLSXl999dXjx49fu3btoUOHTp48uWXLll69enG7 /e1vf3v27NkqTNIGDRo0a9aMJjmbNm06derUxYsXs7Ky+vTpw+Xde++9+KNg AWX89ttvw36Gxuq1FbF161bPCtaNgAbt37+fB5/IyMglS5aI5dQf+TmC8PDw 1atXu1+pu6C/q4v1JB0+fDibVW3eFG09ScMqoUmTJtu3b3cpRq0nqbEkvpWR oQnArl27vJFUZgLKuHHjxsosFtAE0rOCdcNKOxdvBSTatm0bHR1NGcpHo8TE iRO9KdVV0N/VxWKSfvfzuwE7duzoQVVuYytJJ02a1L59e9O4WqNGjUGDBh08 eNC9GLWYpNOnTzf+3UaGzBo6dCgdPnujp+QElJGm9wGT9Pbbb/esYN2wOAql paXR+GPypV27dp999pkHRXoA+ru6WGzDMTExbNmGDRs8qMptbCUpQ6G5efPm ZcuWLVmy5Ntvv6VG62qGMtbPGJw4cWLHjh2rVq366KOPdu7cefHiRbc1VAjr MoIqwZZBBQUFNAolJCSsWbMmLy+vOp3MRH9XFz0HmSCStErQ0x3HgYySA4MY 6KAuenqHJNUKyCg5MIiBDuqip3dIUq2AjJIDgxjooC56eock1QrIKDkwiIEO 6qKnd0hSrYCMkgODGOigLnp6hyTVCsgoOTCIgQ7qoqd3SFKtgIySA4MY6KAu enqHJNUKyCg5MIiBDuqip3dIUq2AjJIDgxjooC56eock1QrIKDkwiIEO6qKn d0hSrYCMkgODGOigLnp6hyTVCsgoOTCIgQ7qoqd33wEAAAAAAAAAAFVKVR8Z AwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA VCX/DzbHPus= "], {{0, 378}, {622, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{311., Automatic}, ImageSizeRaw->{622, 378}, PlotRange->{{0, 622}, {0, 378}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.779626023028722*^9, 3.779626089844798*^9}, 3.779626171372869*^9, 3.780051239751659*^9, 3.780052563516405*^9, 3.7800541818042383`*^9}, CellLabel->"Out[4]=", CellID->363745750] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->14107562], Cell[TextData[{ "Here is 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", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ", the first two columns of which are categorical columns and the third \ column which is numeric:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7796300529255047`*^9, 3.779630129269253*^9}, { 3.780333627050284*^9, 3.780333634456583*^9}, {3.7803359710811195`*^9, 3.780335989117923*^9}}, CellID->300841207], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"dataset", "=", RowBox[{"Dataset", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "1"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "5"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "2"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "6"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "3"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "4.5"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "1"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "10"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "2"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "100"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "3"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"Missing", "[", "]"}]}]}], "|>"}]}], "}"}], "]"}]}]], "Input",\ TaggingRules->{}, CellChangeTimes->{{3.7796233964424973`*^9, 3.779623405711184*^9}, { 3.779623452823387*^9, 3.779623499965694*^9}}, CellLabel->"In[5]:=", CellID->393318880], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXl0VNUdxwc0JWJpWKoIhrKIB2URKgcqiIgeghVFMAhHOLY9cAQqCGJY VFo2I2WRoChll4SUPZJiWFSWw2okBDAJhAiyBgKkhBB22UJ/nd/pO9OZyeT9 3tz7y8309/kDM++9zHzefd93370Tz/3V7/tOdP+KLpdrWDj8E93nvediYvp8 0L0qvOgxZNhbA4b0e/PFIcP7DegX81Tfe2DjqAou11r4739+visIJXNQEAQh CC4ZjDmG5pgwIPGgYo4JAxIPKuaYMCDxoGKOCQMSDyrmmDAg8aBijgkDEg8q 5pgwIPGgYo4JAxIPKuaYMCDxoGKOCQMSDyrmmDAg8aBijgkDEg8q5pgwIPGg Yo4JAxIPKuaYMCDxoGKOCQMSDyrmmDAg8aBijgkDIROPoqKiefPmzZkzZ9u2 bWVrEkqETDzOnz/f383ChQvL1iSUkHgoNwklJB7KTUIJiYdyk1CCFI+MjIzk 5GQY/k2dOvXDDz+cPHnyrFmzvvrqq7Nnz/J4BjjAMx75+flr164FtzFjxoBq UlLSmTNn2Ewsjh49mpKSMnfu3AkTJnzyySeLFi36/vvvL1y4oMqEAVI8oLX7 +2PQoEHp6ekMngEOsOLx3nvvDRs2zMvw/fffP3ToEI/JJfc0as2aNQMHDvRt K3ADVSUmDDiIx4gRIz799NP4+HiYSH7wwQd41u+8805eXp5uzwAHWPFABgwY ALZw20J0ccu4ceN4TICVK1daGpMmTZo/fz70tIMHD8aN586dU2LCACke3333 XU5OjtfGBQsW4FnDXj2O/8F+POCKQHStp8mJEyf+8pe/4C4lXVypJseOHcN+ A26Z3bt3W9v/9a9/LV68+M9//nOoxqOkd8DG//LLL9W6eX2KzXgkJCR47UpN TcVdkGQGk8TERPy4r7/+2nevwlEQA9R4wKgPxlcwyvrb3/4GT5YhQ4ZY/fmS JUt0ewY4IMDMBUaDeDvHxcUxmHz88cfwWfCJhYWFwX9c2UKKx65du6DD9Ds6 NTkeAIxXYdfo0aMZTEaOHAmf9de//jX4zypz7McDOg14rOMlGDt2LIRh48aN 8Gz94YcfzI8HDKdRm8EEh6AfffRR8J9V5tiPx5w5c7D9165de/HiRWs7jLjM jwfOX6ZNm8ZgAlMk+Kzhw4cH/1lljv14wPnCWcfExMCk3nO7+fH48ccfcRdM HBhMZs6ciR/3008/Bf9xZYv9eAwdOhRHXF7fkW7atMnkeEBH9+mnn+KunTt3 MphA74ofN336dN9baenSpeXoi1P78ZgyZQqe9SeffLJ169b9+/evX79+8uTJ pg1N33///XXr1h05ciQvLy8zMxNmK7gdVHlMYMJifdMCjbZ3795Tp07Br/zz n/+Evrd/iH4tlpGRYQ1NTZ65+OXdd9+1MzVTYgJALD2n/F6EZDyAbdu2QTt7 ninckjBzwdgsX75ct2eAA+CeRQ24c71m35MmTTp58iSbCQI9BgxC3nrrLU+T 2NjYDRs2eD1xTIYUDwCSn5WVBQ8XmNLm5ubq1rOwb3jJ3ZPk5OTs2LEjLS1N +beUJBNIwtGjR9PT0w8cOJCfn6/WhAFqPMoKcwzNMWFA4kHFHBMGJB5UzDFh QOJBxRwTBiQeVMwxYUDiQcUcEwYkHlTMMWFA4kHFHBMGJB5UzDFhQOJBxRwT BiQeVMwxYeCgIAhC0JR1wcNAmGNojgkDEg8q5pgwIPGgYo4JAxIPKuaYMCDx oGKOCQMSDyrmmDAg8aBijgkDEg8q5pgwIPGgYo4JAxIPKuaYMCDxoGKOCQMS DyrmmDAg8aBijgkDEg8q5pgwIPGgYo4JAxIPKuaYMOA4HsXFxVFRUa1bt961 a5cmN0/MuSh2TI4cORIVkJkzZ/LYBonjeKxYscLl5ptvvtHk5kn5iseePXtc ARk0aBCPbZBQ47F8+fJJkyZ16dLlnnvukXiUhBWPDh06+F0gaNmyZTy2QUKN x29+8xuvG0Hi4YsVj/ISg5KgxmPq1Kmj3PTq1cuceBw/fnyhmzVr1vjuPXr0 KO5NS0vTbYL838bDYsuWLebEo7CwsH79+uiTnJzsuevq1atNmjSB7eHh4bt3 79Ztgkg8jIrHXfcVgQCAT9WqVY8dO2Zt79u3L3pC78FjctcjHrNnz87NzT11 6tStW7eUfDozIRMPYN68eagE0+2bN2/ClsTERNwyePBgThPfmUuFChVq1qwJ GocOHVJlwkAoxQPo06cPWsXExOTk5Nx///3wc/v27RXevEFObKGL27FjhyoZ 3YRYPK5du9a8eXMUe+CBB+DfyMjI/Px8ZhP4RJj+r169Oj09HQ7euXNnQkJC mzZtUKxGjRp5eXkKlfQRYvEADh8+HBERgW6VKlVS/qWug7ay+MMf/oBiixYt UmulidCLB9CjRw90a9So0c8//1yGJl78+OOPKDZ06FC1VpoIvXgsWbLE81k/ YMCAsjLx5fr162jVu3dvtVaaCLF47Nu3D4ejzz777HPPPYeGqqa0JBO/ZGRk oNK4ceMUKukjlOJRVFT06KOPgtKDDz54+vTpM2fOwFwSXt53332ZmZmcJsnJ ydBR+G6Pjo7GRoNRqyofrVDjceXKlSI3cIJ4pklJSbgFdun2DHBAcXHxK6+8 gt8wfPvtt7hx/fr18BI2NmzYEAx5TIAqVapARMePH79169bz58/fuHFj7969 L730ErbYU089defOHSUyuqHGo27duiXN6B9//HHdngEOmDBhAmp88MEHntvh JW7v2rUrRIjB5K47Hp4tgxFFfv3rX2dnZwevwQM1HvXq1SspHo0bN9btWdLe 1NTUihUrgkO7du28vgGDl23btkXDGTNm6DZBJk6c2KJFC6/2uffee//0pz8V FBQE78CG47EHM+YY2jc5d+7cnj17UlJSvvzyy/3798MjRrebciQeVMwxYUDi QcUcEwYkHlTMMWFA4kHFHBMGJB5UzDFhQOJBxRwTBiQeVMwxYUDiQcUcEwYk HlTMMWFA4kHFHBMGJB5UzDFhQOJBxRwTBg4KgiAETVn3ZIEwx9AcEwYkHlTM MWFA4kHFHBMGJB5UzDFhQOJBxRwTBiQeVMwxYUDiQcUcEwYkHlTMMWFA4kHF HBMGJB5UzDFhQOJBxRwTBiQeVMwxYUDiQcUcEwYkHlTMMWFA4kHFHBMGHMfj xo0bFy5c0GTlizkXxbFJcXHx1atXlftohRSP3NzcuLi4Dh06REZG4noaERER rVq1SkhI0L3cTTmNx+3btxcvXvzOO+8888wzuCZMeHh4UlKSVkOFkOLxxBNP lLT2S/v27XGdaq2e+t7fPvZN8vPzreXvPJk7d65uSVU4iEezZs1Gjx69dOnS xMTEHj16WAslea3apMNT3/vbx6bJ7t27H374YWyZtm3bfvjhhytXrly+fPnQ oUN5FutTAikeMTExKSkpXit0HT58GBPSoEEDbZrlLB7QRLh2d6VKlWbMmKFk TbMyQcnMpVu3bnibXLx4UaGbJ4ENjxw5ggV9Tpw44bv31q1b0NHBXiULaNtp q+TkZGyQCRMmBP+JZYiSeOAi1RUqVLh27ZpCN08CG2ZlZeHl6Nevn+9e6NVx LwyhdZvcdXcduO7cY489Vk7LuFgEHw8YnGOBOXjUqnXzpFRDmBqAQ+XKlX3X L33++edd7gINStZXL9UkLy8P0zhy5Mjr16+np6fDOG3OnDmrV6+GqV/wApwE H4/4+HhsDRiZqHXzpFTDZcuWocb06dM9tx84cAC3jxo1isckNTUVP7F169ZY NMRz7co33nijHK1dGWQ8cnJycFwK/548eVK5nkWphjCtrlWrFnbpntvffvtt vC6q9Eo1gb7CMxIRERFNmzaFcbu1BTo65XUiNBFMPKAXfeSRR/CUddfUs2M4 duxYlNm0aRNuuXz58q9+9SvY8tprr7GZTJo0CTX++Mc/ZmRkWNuhH3vyySet 544qH604jsfZs2cbNWqEJztx4kRNehZ2DCGu0EuAT/fu3XHLzJkz0XDr1q1s JlZKYT7la1i1alV87qjy0YqzeMD8EfpwbITx48fr07OwaYhzKAjJqVOn4CX0 6vCyefPmnCYwg8aW8VszLioqyuX+ar1cTGocxCM7OzsyMhJnsp999plWPQub hlYZEbiFrZ/nzZvHafLdd9/h5yYmJvru7d27N+4tF3+eo8Zj8+bN1apVg7ML CwvjLIhm3xB7jNq1a7/66qvwQ/Xq1dV+G1OqSX5+PgbAb0Ww9u3bw646deoo VNIHKR4JCQm/+MUvXO5Swtbwjwf78bDGG5oGgXZMWrZs6XJ/o+51ZFZW1j33 3ONyVw9Ra6UJ+/FIS0uz2nzatGlf+wP6Va2edo60ZisAXIvjx4/zm+zcuRNr uMAI7fvvv8eN27dvb9iwIWyEWwxyotZKE/bjAY8VV2noq/hDGh0NHjwYfbp1 61ZWJgMHDrSaBR5wVmIhNl5f3JmM/XjA3LDUeDRp0kSrp82DP//8c/TR8QS0 bxIfH1+jRg2v2wf6EOVK+nA2seXHvmFxcXHjxo31ZZXUVnfu3Dl06NCqVavg yVteKl97EnrxWLduHd6qs2bNKluTECD04tGxY0ecW2mqjGl+WykkxOKRmZmJ XYe+Px+b31YKCbF4xMXFNXXj+/cOZpPQIMTiwYA5JgxIPKiYY8KAxIOKOSYM SDyomGPCgMSDijkmDEg8qJhjwoDEg4o5JgxIPKiYY8LAQUEQhKAp654sEOYY mmPCgMSDijkmDEg8qJhjwoDEg4o5JgxIPKiYY8KAxIOKOSYMSDyomGPCgMSD ijkmDEg8qJhjwoDEg4o5JgxIPKiYY8KAxIOKOSYMSDyomGPCgMSDijkmDEg8 qJhjwoDjeNy+fbugoIBtMXlzLoo5JgyQ4nH+/Pn58+d37ty5fv36uERkWFhY vXr1RowY4Xete+WeWj/CJs5MTp8+/fLLL0dFRU2ePNn+b40bNy6qZDp16nTp 0iWqCQlSPKKjo0ta+KVGjRrZ2dm6PfW9v30cmFy5cgVXGwN69+5t/xe7dOkS eL2dc+fOEfVpOIgHdBfDhw+Pj4/fuHEj/NumTRvdSwPdLc/xuHPnTteuXa0L 6iAeVapU6V8Cule/JMVj4sSJiYmJXuu13rx583e/+x2ee35+vlZPTW9Ogmry 7rvvutwr8TqOh9cq8ZwombmMGjUKz33v3r0K3Twp1TA5OXlhyaSlpbGZePL3 v/8dW2bOnDlY1uT/MB6///3vXe5lPK9fv67QzZNSDevUqRPgGQ39MJuJxdq1 a3EVUxi6w8v/t3jAU3XPnj1DhgzBSxAbG6vDECnV8PXXX+/gA14dl9KF3222 VUZGBpYy6d69O07/HcejQYMGZ86cOXbsWF5e3u3bt52r03EWD5imdezYsXr1 6tj44eHhkA2t34E4CPDmzZvxif/0008rLKJqxwSuIy4737p1a2vJbsfx8CQs LOypp55atGiR1rKwFs7iAQd7Ovfs2TMzM1Of5F16PHJzc7ESU61ateDW4zSB aSzWbalbt+7Zs2et7UriYQGzId2lpe86jUdhYeGYMWNiYmKg56xcubLLvTz1 7NmzdXvaPPjnn39u1aqVy708tfJ1vAObwCXDaxoREbF//37PXQ7isWzZsgUL Fmzbtg3eat++fRs3boR5kLXAstbCwUjwQ9OCgoImTZrgtTh06JBaPQuSYd++ fbEBdSxtGthkx44d+NFJSUkX/pfatWvD9ujoaHzp+N6HUc0vf/lLeKuGDRs6 PQm7KJm5pKSkYJvoK/9t3xAigTIQEn6T7du3B5hAeeK3GJBNYByObwIxc/wm dlASD2so4reCiRJsGqampmJJEXi4aCrnpyoewSyuPnLkSHwTfd01oiQeGzZs QNspU6YodPPEjiEMQbEDh0GpvoqxgU1g4nm2BLBQZrdu3fBlMFNULDsON4Lu +Yv9eMAYA0ZKvhXQYD7bqVMnjAeMnbR6BjgAGqpdu3Yu99fXMKXVpGHHpCRK GpqePn26j5thw4Z5boexqN+yL3v37sUJe8uWLR1okLAfD1yPGiZrU6dOhekA PPVgRg8PUKydB8BsTl+YSzUcNGgQagwcOPAnHxRWQ1AeD4gBmj/00EOe2+Pi 4mDjiy++uGLFipycHLgx8/PzZ86caRUBWbt2rfPTsAc1HiVRrVo1OAXdniXt vXz5cuAHvcIbjTkeFlheyuKtt95yfg62sR+PS5cuxcbGtmjRwqvlK1as2K9f P57/8aCkvVeuXPFqPS9gpMpjEoB69eqByRtvvOG1PTs7GyVh4OS5HSawvXr1 sr7lsIAOfNWqVc5PgIKDoWlRURGYw2R25cqV8HDU92c4T4IcPCuE2QSe1/Bw 3LJly9KlS2FM5fk1LANKZi4MmGNojgkDEg8q5pgwIPGgYo4JAxIPKuaYMCDx oGKOCQMSDyrmmDAg8aBijgkDEg8q5pgwIPGgYo4JAxIPKuaYMCDxoGKOCQMS DyrmmDBwUBAEIWjKuicLhDmG5pgwIPGgYo4JAxIPKuaYMCDxoGKOCQMSDyrm mDAg8aBijgkDEg8q5pgwIPGgYo4JAxIPKuaYMCDxoGKOCQMSDyrmmDAg8aBi jgkDEg8q5pgwIPGgYo4JAxIPKuaYMCDxoKLb5PLly/renIrjeBQXF0dFRbVu 3XrXrl2a3Dwpv/Gw2VCbNm3q0aMHrgFSvXr1F1544bPPPgtaNlgcx2PFihW4 Gsk333yjyc2T8hsPOw21cOHCsLAw31Vr3nzzTeZF1L2gxmP58uWTJk3q0qWL tZq9xMMv9hsqPT0dD3jwwQc//vjjbdu2ffHFF1aJnI8++kj1GRCgxgMXyPJE 4uEX+w01YMAAl3sVSs+FcAsLCxs2bAjb69evz1bP0RdqPKZOnTrKTa9evcyJ x/Hjx7Gsz5o1a3z3Hj16VGHRH5ttZbOhrl69iquHde3a1WuXVSoIhiXBazvD 8dhjy5Yt5sQD7jW4y9AnOTnZcxe0Py75Hh4evnv3bt0mvgRuqJ07d+LeuLg4 r10HDhzAXePGjQvKOAhCIx7Anj17IADgU7Vq1WPHjlnbreX3offgMfEicEN9 9dVXuNfvisG4ADjPGpV+CZl4APPmzUMlmEXiAryJiYm4ZfDgwZwmngRuqLlz 5+Jev9NeLKgUHR3tXDc4QikeQJ8+fdAqJiYmJyfn/vvvh5/bt2/vu9a3bhOL wA0VGxuLe+FR4rsXx7dt27Z1rhscIRaPa9euNW/eHMWwGlRkZKTa8qlq4zF6 9Gjc67e2Ag6oJB6lYt/w8OHDERER6FapUiXlX+qqjcfnn3+OezMyMnz3YsJf eukl57rBEXrxAHr06IFujRo1Ul7VRW08rO9U/RY1u++++1za6hbZIfTisWTJ EpcHAwYMKCsTJHBDbd26Fff+4x//8Np15swZ3MVQM64kQiwe+/btw+Hos88+ +9xzz6GhqiktycQicENBBipWrOhy/3nFa9eyZct0+JMIpXgUFRU9+uijLvcf L06fPg0tX7NmTXgJXbTCOqpq43H3vzXEwdlzCF1cXPzCCy/A9ipVqly5ciVY aadQ4wGqRW5Wr16NZ52UlIRbtJ5FqYbQnq+88orLXffk22+/xY3r16/HQh4N GzYEQx4TxH5DwXY8ACbgWVlZcCKQ7aFDh+LGfv36KdF2BjUedevWdZXA448/ rtszwAETJkzw+6SGl7i9a9euSv62ZbOt7DfUrVu3rMqSAD4crSP1FcWzAzUe +P+r+KVx48a6PUvam5qaik/wdu3aeX0DBi/btm2LhjNmzNBtYkFqKMjtyJEj 4TliHRMWFvbiiy8WFhYGLxwMjscezJhjqM8EQpKTkwNT3Z07d/IUUSoViQcV c0wYkHhQMceEAYkHFXNMGJB4UDHHhAGJBxVzTBiQeFAxx4QBiQcVc0wYkHhQ MceEAYkHFXNMGJB4UDHHhAGJBxVzTBiQeFAxx4SBg4IgCEFT1j1ZIMwxNMeE AYkHFXNMGJB4UDHHhAGJBxVzTBiQeFAxx4QBiQcVc0wYkHhQMceEAYkHFXNM GJB4UDHHhAGJBxVzTBiQeFAxx4QBiQcVc0wYkHhQMceEAYkHFXNMGJB4UDHH hAHH8bhx48aFCxc0WflizkXRbUIq93P79u1r167pkyHFIzc3Ny4urkOHDpGR kbieRkRERKtWrRISEu7cuaNP8m55joeOcj8Qiffee69t27aVK1eGC9G0adM+ ffr4XRk1SEjxeOKJJ0pa0qR9+/a4TrUmym88lJf7KSgosBa08eSBBx5IT093 eFYl4CAezZo1Gz169NKlSxMTEyHw1po2WtdXLHfx0Ffu5+WXX8Zdr732WlJS 0oYNG6Dl7733Xpe73IDaFd5I8YiJiUlJSfFaoevw4cOYkAYNGigU86LcxUNT uZ9Tp05h3iB4ng90eBLhp8CDPoiT80bJzKVbt27odvHiRYVungQ2PHLkCBb0 OXHihO/eW7duQUcHe5UsoG2zrTSV+7GW6P/hhx88D4YIQecD25955hlHp+Uf JfHARaorVKigbxQd2DArKwsbze8yjytXrlR4Z1HbSm25H1wEFWYEvnOBnj17 wi7oWxROE4KPB4ydsCN9+OGHVVn5Uqoh3DXgACN53/VLn3/+eRy5KVlfXW08 qOV+fvvb37rcCzD6Hmwt3amwAkXw8YiPj0crGJmosvKlVENrienp06d7brfu QejneUy8UFvup3bt2rClc+fOvgdbww/oS+3rBSbIeOTk5OC4FP49efKkKitf SjWEaXWtWrXA5LHHHvPc/vbbb8NGGNir0lMbD1K5Hxhg4AwFniO+By9YsADf av369fb1AhNMPPLy8h555BFUgptXlZJf7BiOHTvWayx3+fJlHPjBHJDTxBOF 5X5gjI1rgPfu3dv3YBh7mxOPs2fPNmrUCH0mTpyoyqck7BhCXPHm6t69O26Z OXMmGm7dupXTxBO15X5q1KgBW2Cq6HuwNdNR+OWYs3jA/BH6cJQZP368KpkA 2DTEORSE5NSpU/CyadOm8LJ58+b8JhZqy/00btwYtkRFRfkePHnyZHwrhcuw O4hHdnZ2ZGSkyz2TDfB3AbXYNLSuBTxorJ/nzZvHb+KrpKTcDxapgWe671vh 12vAjRs37OsFhhqPzZs3V6tWzeVeE37RokWqNErFviH2GDDCf/XVV13uP2+p /TZGbTyo5X5gkosbfUfa2J/DcMW+W6mQ4pGQkIAz8apVqzJX7rZ/UazxBjJy 5MiyMkHUlvuxvkbzKo0NzyYdz3r78UhLS7PafNq0aV/7w+8DVKGnnSOt2YrL /RXi8ePHy8REX7kfrPkOfc4XX3wB7wYz+u3btz/00EO4UW39F/vxgMeKqzT0 Vfwh3bODBw9GH78jfB4TfeV+IAzQe1v5x+Gryz0UnDJlispTpcTDGkQFAIKt Vs/L0+bB1mxRxxPQponWcj/79+9v1qwZfgeC1KxZc/HixQpO739xNrHlx74h NDXO/jRlVV9bUcv9wJMF8r9q1Sp9BcVCLx7r1q3DG2rWrFllaxIChF48Onbs 6NLw/005MAkBQiwemZmZ2HXo+/Ox+W2lkBCLR1xcXFM3R44cKVuT0CDE4sGA OSYMSDyomGPCgMSDijkmDEg8qJhjwoDEg4o5JgxIPKiYY8KAxIOKOSYMSDyo mGPCwEFBEISgKeueLBDmGJpjwoDEg4o5JgxIPKiYY8KAxIOKOSYMSDyomGPC gMSDijkmDEg8qJhjwoDEg4o5JgxIPKiYY8KAxIOKOSYMSDyomGPCgMSDijkm DEg8qJhjwoDEg4o5JgxIPKiYY8KA43jcvn27oKDAa/l9fZhzUcwxYYAUj/Pn z8+fP79z587169fHJSLDwsLq1as3YsQIv2vdK/fU+hE2MceEAVI8oqOjS1rS pEaNGtnZ2bo99b2/fcwxYcBBPKC7GD58eHx8/MaNG+HfNm3a6F4a6K5JF8Uc EwZI8Zg4cWJiYuKtW7c8N968edMqXaSwFoBfT01vTsIcEwaUzFxGjRqF8di7 d69CN09KNUxOTl5YMmlpaWwmoYSSeODKnJUqVbKzIpYzSjWsU6dOgDXx+vfv z2YSSgQTjzt37uzZs2fIkCF4CWJjY3UYIqUavv766x18sMr8KVwMVuJRKqdP n+7YsSMWowHCw8MhG1q/A3FwUTZv3oyz76efflphEVWJh53f8uy6e/bsmZmZ qU/yLv2i5ObmYrWLWrVqnTlzhtMEOtWfg0B3wWgSzuJRWFg4ZsyYmJiY7t27 V65c2eVennf27Nm6PW0eDI3cqlUrl7v6p/J1vEs1KSgoOBgE8OtqhYPBWTw8 gdPBVb7hWuio042QDPv27atvadNSTc6dOxdMPODXlTs7Jvh4ACkpKXg55s6d q9DNE/uGEAmU8aySw2kC45zLQaC11jwVJfE4+N+hyNChQxW6eX2EHcPU1FQs KQIPFyVlSR2bhAZK4rFhwwaMh/KKABZ2DGEIinU8YVCqe5lxTW9uGvbjAWOM ZcuWeX2jfte9UHynTp0wHn5r9Sr0DHAA9Mnt2rVzuQvJwZRWk4Ydk1DCfjxw Peq6detOnToVpgMXLly4du3ajh07oqKiMBtPPvmkvudmqYaDBg1CjYEDB/7k Q15eHptJKEGNR0lUq1YtJydHt2dJe2FEF8ANaNmyJY9JiGE/HpcuXYqNjW3R ooVXy1esWLFfv366p2OBDa9cueJZ+8YXGKnymIQYDoamRUVFGRkZMJlduXJl VlaWvj/DeWLORTHHhAElMxcGzDE0x4QBiQcVc0wYkHhQMceEAYkHFXNMGJB4 UDHHhAGJBxVzTBiQeFAxx4QBiQcVc0wYkHhQMceEAYkHFXNMGJB4UDHHhAGJ BxVzTBg4KAiCEARl3YcJgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAI giAIgiAIgiAIgiAIgiAIQvng36AOAAE= "], {{0, 378}, {181, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{90.5, Automatic}, ImageSizeRaw->{181, 378}, PlotRange->{{0, 181}, {0, 378}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.779623485385194*^9, 3.779623500437883*^9}, 3.779625367753723*^9, 3.7800512398433533`*^9, 3.780052563623764*^9, 3.780054181888935*^9}, CellLabel->"Out[5]=", CellID->292744844] }, Open ]], Cell["Compute the contingency table:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779630136762323*^9, 3.779630154638022*^9}, { 3.7803336529685793`*^9, 3.7803336548668633`*^9}}, CellID->287762854], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", "dataset", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779623384190125*^9, 3.779623384268839*^9}, { 3.77962348935623*^9, 3.779623490672517*^9}}, CellLabel->"In[6]:=", CellID->605269059], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnQt0TVf+x28ktEbRidfUO613X1brPR3TTkuQolUxdC1DTSINSlCUSuvV Ni3GeDfJolJqIkpJMIp4BmmChpK0HkUQIhLRMEGI/+9/95qzztznPvfuk7u7 +/2sVetm733P+f5+5+zv2XvffW+Dho3pN7ySxWIZ/zD90++tSS+NG/fW5Dce pT9CR4+PjBgdHtZz9LvhEeHjOg3zp8Kr9F+8n8Xy/68fAAAAAAAAyfgJAAAA AABIyS8SI7lCyeXxoEAIAMDQhCC5PB4UCAEAGJoQJJfHgwIhAABDE4Lk8nhQ IAQAYGhCkFweDwqEAAAMTQiSy+NBgRAAgKEJQXJ5PCgQAgAwNCFILo8HBUIA AIYmBMnl8aBACADA0IQguTweFAgBABiaECSXx4MCIQAAQxOC5PJ4UCAEAGBo QpBcHg8KhAAADE0IksvjQYEQAIChCUFyeTwoEAIAMDQhSC6PBwVCAACGJgTJ 5fGgQAgAwNCEILk8HhQIAQAYmhAkl8eDAiEAAEMTguTyeFAgBABgaEKQXB4P CoQAAAxNCJLL40GBEABQw9Coap2VTZs23bhxw6b22LFjrDY9Pd0n8nJycpiA 7Oxs+9r8/Hyz5fHg9h5ISUlZ55yDBw9WmFQAnKGGoV28eHH8+PHDrWzcuFFf deHChbFjx1L522+//f333/tE3tGjR5m2uXPn2tdu3ryZ1dILk+Tx4PYeeOed d4Y7Z/HixRUmFQBnqGFoRFZWFlkWMy4akrHC4uLimJiYCrALt/I+/PBDJuPs 2bP6chpPvv/++1Q+atSoq1evmqfQLW5DmD9//qd2aIa2atWqCpMKgDOUMTQi OTmZda4JEyZcuXKFSpKSklhJbGysb+Vt27aNKfnqq6/05YcOHWLlK1asMFWh Wzy4B7Zv387ET5s2rbCw0CRhAPCjkqERCxcuZF1s3rx5mZmZERER9HrGjBlm dze38goKCkaPHk1ioqKi9GJo2MMEnz592lSFbjF6Dxw/fjwyMpKUjxkzxmbY CYCvUMzQaNY2ZcoU/drO2LFjz58/L4O8L7/8kklKTU1lJSSMWe7s2bPNVugW Q/fApUuXaBhMykk/PThMFQYAP4oZGms5cuRIZh3U3Y4cOWK2tl/45J05c4ap mjlzJitJTExkJTJ8RMif4evXr2srkxs2bDBbGAD8qGdoxcXF06dPZ92NZnl5 eXlma/uFW96cOXOYsOzs7KKionHjxtHr9957jzRXgEjX8GdYG2rSBN9sVQAY Qj1DW7t2rX7K+dlnn1WAXXDKo5EYUxUfH7979272Ojk52Wx5PHCGoMmOjo4u KCioAGEA8KOYoaWnp2ufuxHsNc3sJJFH1jpp0iSSRJNitluDXuTn55stjwee EHJyckaMGMGGvjSDrhhhAPCjkqGdPXt2zJgxrLvR63PnzrEPFitgkYo/gRs2 bNAPIJcvX26qMH7chnDlyhWaHcuz6AeAPcoYWmFhobZ5dd++fawwLS1NW0wz dWsBfwLz8vLYbgeGPGl3HQKNLbUFwI8//viwHSdOnKhItQA4RBlDi42NZd3N Zocq/alNQs3bjWYogZrUTz/91CQ9HuA6hNzc3OEumTx5ckWqBcAhahjagQMH NNcqKirSV+lHbuYtphlK4OrVq5me/fv3m6THA1yHcPHiRdeGNnXq1IpUC4BD 1DA0n8Mvjww2KiqKHGDixIky7NbQkDzDAPAAQxMCvzztS52ybUmVPMMA8ABD EwKnPO23NUaMGHH58uUKEMaP5BkGgAcYmhA45X333XdseBYfH18BqgwheYYB 4AGGJgROeWvXrv3Ayo8//lgBqgwheYYB4AGGJgTJ5fGgQAgAwNCEILk8HhQI AQAYmhAkl8eDAiEAAEMTguTyeFAgBABgaEKQXB4PCoQAAAxNCJLL40GBEACA oQlBcnk8KBACADA0IUgujwcFQgDgJwAAAAAAIDG+Hi26gil8ICuSy+NBgRAA gKEJQXJ5PCgQAgAwNCFILo8HBUIAAIYmBMnl8aBACADA0IQguTweFAgBABia ECSXx4MCIQAAQxOC5PJ4UCAEAGBoQpBcHg8KhAAADE0IksvjQYEQAIChCUFy eTwoEAIAMDQhSC6PBwVCAACGJgTJ5fGgQAgAwNCEILk8HhQIAQAYmhAkl8eD AiEAAEMTggfySkpKTBLjGQqEAIDHhnbjxo2XXnrp+eef37Vrl0kmpsdodysv L+/WrVuHDh0yMjIcNjhz5kw3lyxZssRoGnlapqamhoaGNm3a1GKxBAYGBgcH L1iwgP9E5qFACAB4bGgJCQkWK+vXrzfJxPQYNbSkpCQmb+vWrQ4bHD582OKS kSNHGk2j22aUtMqVK9ufKyws7N69e/ynMwMFQgDAqKGtWLFi+vTpPXv2rFSp koSGtmbNmpiYmN69e/v7+3Ma2osvvjjcEYmJiUbT6LpNZmYmO2PdunVnz569 d+/eZcuWdezYkRXOmjWL/3RmoEAIABg1tIYNG9o8mqUytMaNG9vIc2tohozL dRpdt4mIiKDTValSJS0tTSssKipq1qwZlQcFBdE02XslHqNACAAYNTR6Co+3 0r9/fwkNbc6cOVOsDBo0SCpDu3XrVo0aNeh0ffv2talavHgxU5Kamuq9Eo9R IAQAPF5D27Jli4SGprF7926pDC09PZ2dbu7cuTZV2dnZrGratGneK/EYBUIA AIb2+eef5+bmXrx4sayszMs0umiwceNGdrodO3bY19IkjqoiIyM9FuA9CoQA AAxNw8/Pr169eu+8887Jkyc9S6OLBnFxcewsDreRBAYGUlW/fv2MnlcgCoQA AAzNnocffli/6M2fRhcNZs6cyQ5OszP7WvZZRpcuXQydVCwKhADAb9bQ8vPz Y2JiUlJSMjMz6cjp6ekrVqzo3Lkze1etWrUuXbpkNI0uGkRHR7MjOxz+BQUF +dwNFAgBgN+soTlj8ODB7I2rVq0ymkYXDRYuXMgOm5WVZV9bp04dqgoJCTEk VSwKhAAADM2GH3/8kb0xKirKaBpdNNC+ubB//3772qpVq1LVsGHDDEkViwIh AABDs6G0tJS98c033zSaRhcN9uzZww67cuVKm6rLly+zqsmTJxuSKhYFQgAA hmYDzafYGw1tqXIrj7o8+7JYWFiYTVViYiI7Y0JCgiGpYlEgBAB+s4ZGsmkw Zl/er18/9saUlBSjaXTdpkePHhbrtyDz8/O1wvLy8uDgYCqvXr36zZs3+c8o HAVCAMCoodFj+oKVNWvWsI7/5ZdfshKq8rmhUYcqtkJ2xOStXbuWldj0Nep9 1DGnT59OM6nCwsI7d+4cOXIkJCSEvatTp0737983mkbXbUgJO3jXrl2PHTtG PpCXlxcVFcUKw8PD+U9nBgqEAIBRQ2vUqJHFCS1atPC5oTVp0sSZvNatW+tb kqHpa/38/LTXtWvXPnHihAdpdN2mrKxs4MCB2lmqVaum15abm2vojMJRIAQA jBqa/c9ZaLRs2dLnhsZ+ddAhbdq00bf85JNP2rZta9MmICBgyJAh165d8yyN bpvRkGbixIl6L61cuXLPnj2LioqMnlE4CoQAgMdraBWM0TU0TgoKCg4fPpyc nPz1118fP36cJp6eHceQPPKEnJycpKSk9PR0h+t4PkGBEAD4jRuaKCSXx4MC IQAAQxOC5PJ4UCAEAGBoQpBcHg8KhAAADE0IksvjQYEQAIChCUFyeTwoEAIA MDQhSC6PBwVCAACGJgTJ5fGgQAgAwNCEILk8HhQIAQAYmhAkl8eDAiEAAEMT guTyeFAgBABgaEKQXB4PCoQAAAxNCJLL40GBEACAoQlBcnk8KBACAD8BAAAA AACJ8fW00hVMoa/Hs06RXB4PCoQAAAxNCJLL40GBEACAoQlBcnk8KBACADA0 IUgujwcFQgAAhiYEyeXxoEAIAMDQhCC5PB4UCAEAGJoQJJfHgwIhAABDE4Lk 8nhQIAQAYGhCkFweDwqEAAAMTQiSy+NBgRAAgKEJQXJ5PCgQAgAwNCFILo8H BUIAAIYmBMnl8aBACADA0IQguTweFAgBAI8N7dq1a7m5uSbZlz0edLeSkhKT kmaP2W7gWSylpaW3b9/mbCx5hgHgwZChZWdnf/TRRy+88EL9+vX9/PwsFkuN GjWee+65pUuXFhcXS2JoqampoaGhTZs2JXmBgYHBwcELFiyomDTyty8vL+/W rVuHDh0yMjJcNPMgFrpGMTExAwYMaNasGbtG7dq1ExuCTzIMAA+GDO3JJ5+0 OKFLly6FhYU+N7SEhITKlSvbywsLC7t3757ZaeRvn5SUxIRt3brVWRsPYqG3 VK1a1aY9PX0EhuCrDAPAgweG1qZNm4kTJy5fvjw2Nva111575JFH2C09btw4 3xpaZmYmU1K3bt3Zs2fv3bt32bJlHTt2ZIWzZs0yO41um61Zs4aGT7179/b3 93dtaEZjoSFfZGQkq6UrMmLECLo6KSkpixYtCg8PFxWCDzMMAA+GDG3UqFGJ iYk3btzQF2ZlZTFPozmIaX7GZWgREREko0qVKmlpaVphUVERTb6oPCgoiHq9 qWl026xx48Y2AxtnhmY0lvXr17MD/vGPf/z5559NCsGHGQaAB48/FNATEhLC etPFixcFmpget93t1q1bNWrUIA19+/a1qVq8eDGTl5qaamoa3TabM2fOFCuD Bg1yYWhGYyEbadu2LRXWq1eP7MWkEHybYQB4EGJoNPFk93N+fr5AE9Pjtrul p6czDXPnzrWpys7OZlXTpk0zNY387Xfv3u3C0IzG8s0337DClStXeqb/AUcI vs0wADx4b2jXr19v2LAh3cyPPfaYWBPT47a7bdy4kfWpHTt22NfSLImqIiMj TU0jf3vXhmY0lvDwcCrx9/cvKSk5f/78t99+Gxsbu3z5cjoL/0K95BkGgAfv DW3JkiXsPh81apRYE9PjtrvFxcUxGQ43QgQGBlJVv379TE0jf3vXhmY0lu7d u1OJn58fe6Hn8ccfT0pKEhKCbzMMAA9eGtqhQ4fYJwL0b05OjnAf03Db3WbO nMm6G01/7GvZanyXLl1MTSN/e9eGZjSWli1bag5G47QmTZo89dRTbL2LqFSp UkpKivch+DbDAPDgjaHRW4KCgthN/sUXX5jhY/pzue5u0dHRTMnJkyfta5nO X4uhGY2F7T1r1KhRfHz8rVu3WOHt27fnzZvHjlOtWrWCggIvQ/BthgHgwWND O336dPPmzbWlYJN8TMNtd1u4cCETk5WVZV9bp04dqgoJCTE1jfztXRuaoVjK ysrYrrbBgwfbN54wYQI71JYtW7wMwbcZBoAHzwztxIkTmptNmTLFPB/TcNvd tL33+/fvt69lY5hhw4aZmkb+9q4NzWgsbHT0yiuv2DemI7BD0YTRyxB8m2EA ePDA0DIyMurXr8/u7c8++8xUH9Nw29327NnDJNlvXbh8+TKrmjx5sqlp5G/v 2tCMxtKtWzeLdf3f/lCnTp1i7ceOHetlCL7NMAA8GDW0zZs3P/roo3TrBgQE xMfHm+1jGm67G/WpSpUqWaxfKrSpSkxMZN0tISHB1DTyt3dtaEZjYV96oiti v1C2c+dO1j4uLs7LEHybYQB4MGRoS5cuZV9MrlmzZkpKSgX4mAaPY/To0cNi /Zphfn6+VlheXh4cHEzl1atXv3nzpqlp5G/v2tAeGIyFrgU72tChQ22OExoa 6mLhy2gIPswwADzwG5r2rCc+/vjjdY7Ytm2bDw1t7dq1TF7Xrl2PHTtGHS0v Ly8qKooVcn5H25s0um1G/b3YimZBpJmV2FiB0Vh69eqlTfrYB50lJSXjx49n hWRrQkLwYYYB4IHf0GiyaXFHixYtfGhoZWVlAwcO1MRUq1ZNe926devc3Fyz 0+i2WZMmTZyljhTqWxqN5fTp09rGM39///r167PpIdG8efPCwkIhIfgwwwDw wG9o//73v90aWqtWrXxoaA+s05+JEyfS3EeTRHPknj17evyVbUNpdNuM/Sii Q9q0aWPT2GgsFy5c6NOnj/6YAQEB48aN03amCQnBVxkGgAejHwr4CkOLVNTp cnJykpKS0tPTS0tLTU0gw+gaGj9GY7l+/XpaWtqaNWuOHDnC//vbDwyGUPEZ BoAHJQ2t4pFcHg8KhAAADE0IksvjQYEQAIChCUFyeTwoEAIAMDQhSC6PBwVC AACGJgTJ5fGgQAgAwNCEILk8HhQIAQAYmhAkl8eDAiEAAEMTguTyeFAgBABg aEKQXB4PCoQAAAxNCJLL40GBEACAoQlBcnk8KBACADA0IUgujwcFQgAAhiYE yeXxoEAIAPwEAAAAAAAkxtfTSlcwhb4ezzpFcnk8KBACADA0IUgujwcFQgAA hiYEyeXxoEAIAMDQhCC5PB4UCAEAGJoQJJfHgwIhAABDE4Lk8nhQIAQAYGhC kFweDwqEAAAMTQiSy+NBgRAAgKEJQXJ5PCgQAgAwNCFILo8HBUIAAIYmBMnl 8aBACADA0IQguTweFAgBABiaECSXx4MCIQAAQxOC5PJ4UCAEADw2tOvXr589 e/bGjRsmOZgNHnS3kpISk5Jmj+TyeIChiWLWrFnt2rWbNGlSeXm5b5UcPXq0 b9++wcHBBw4c8K2SCsOQoZ07d27RokXdu3dv0qSJv7+/xWIJCAho3LjxmDFj Tpw4IYmhpaamhoaGNm3alOQFBgbS1VywYEHFpFFaeTzA0Bj3799PTExctWrV rl27bKr+85//rLKSlpbm7O1ZWVmW//Ltt9+aq9Udr776KlPSuXNn3yqpMAwZ Wu/evS1OoL6ZkZHhc0NLSEioXLmyvbywsLB79+6ZnUZp5fHgmaFR/yVzbtiw Ibm09xpefvnlhk6gMY/3x+fh5s2b7KLUrl3b5qIkJSWxqjfffNPZ2+nJrl3W zZs3m6/XFXRRmJL27dv7Vgkxe/bsj//Lpk2bHLahhH/yySdasx07dhg9iweG RkOy0aNHL1myJDk5mf7t0KEDS1qrVq18a2iZmZlMSd26dSl7e/fuXbZsWceO HVkhTQSMJsdoGqWVx4MHhlZUVPT4448z/S+++KL3Gho0aODsiUlV3h+fB83Q iO3bt+urBgwY4NbQiMWLF1NPoY7p8yknXdBhw4b97W9/O3LkiG+VEPQob9u2 bU8rc+fOddjm7t27vXr1Ym1q1ao1cuRIo2cxZGjTpk2LjY2l21hfWFhYSE9P dqHPnDnjQ0OLiIggDVWqVNHPCEhts2bNqDwoKMi8G0xyeTwYNTRSS/ee1veF GNrvfvc7OtSkSZNS7di/f7/3x+dBb2jDhw/Xymm+Wa1aNR5DAw4hQ9uyZQt/ +9dee81sQ3PG+PHj2YXet2+fQBPT47a73bp1q0aNGqShb9++NlX0xGTyqF8Y zY+hNEorjwejhkZPN9JctWrV/v37CzG027dvyzBTY4ZWvXr1hx9+WD/rXLdu HZXTsEGUodETIS8vLz09/YcffqCRCY+w7OxsMvb8/Hzvz+4MJomes66b3blz 59ixY4cPH6Ybm/PIvyJDe+WVV9jY4+rVqwJNTI/b7kZXgXUH+9Es3Qasivqg 0fwYSqO08ngwZGjkOX5+fqR5yZIlY8eOFWJoly9fZnk4dOiQl4fyBmZodDOz BRZt1jlo0CD684033rAxNGpQ0xGPPvqos1NQNxkxYgR7wDGosz/99NPz5s2j caB9e/LS9u3b6yfgdevWpecI+YlNy5dfftmhmJiYGIdKQkNDqfarr74qKyv7 8MMPn3rqKe0UHTt2PHnypP1bLl26NHjw4ICAANaMbgObczlbH5Pf0IqLi/fu 3fv222+z0KZOnWqGlTHcdreNGzcyGQ4XEun+pKrIyEij+TGURmnl8cBvaGfO nPn9739PggcMGEB/Ut8UYmjacvqFCxe8PJQeGkgUFBTwt9emnOTV2qyztLSU xmzkUR999JGNoW3YsMHiBGfHf/7551mDevXqde7cuVWrVpo/1K9fn+52fft/ /etf7Nnh7+//zDPPdOrUiY0SGXPmzNE3btu2rUMlzp6VbCjy3nvv/eUvf2Et 2ayf0aBBAxo269tfu3atUaNGVFWpUqWuXbvS2x966CGbc33zzTcOzyWzoZF1 0w3M7mqCgiI3M3VPmtvuFhcXx8RkZGTY1wYGBlJVv379jObHUBqllccDp6HR EOLZZ58ltfQ0p775QJyhpaWlsRTRIJaGH9TTqZeRn6xater+/fseH7ZFixY0 qedvrxnazz//TDc2m3Uy1/r73/8+Y8YMG0Mjr7v4v0yfPt2Foa1evZrV/vOf /9TiohncihUrmjZtSu+110+N27Rpo/d56oA0TCLDuXLlir4xzUZtxLBxoGtD Y9ABz549+8A6VO7bty8rjI+P17cfOnQoFdJknEYyrITmFzRcpEJ75TbIbGg0 1tV78uuvv37gwAHz3OwXDkObOXMmE0MZtq9t3LgxVXXp0sVofgylUVp5PHAa Gt32JJXGKqdOnWIlogwtOTnZ4eiCdWdD63t6PDY0Go3QjU0vdu7cyToyvaB5 mcXdGho5lQtDe//991ltYWGhTRX5m80HQ2R0NBaixg67Ns9WH7pSbg2NRoAL Fy7Ul5M29gmIzayBDc/Gjx+vL2SLwDS2dK1EZkM7f/78pEmTRo0a1adPn6pV q1qsQ1C6jj40tOjoaHafOJz4BwUF+dbQfCuPBx5DW7RoEbvW+nV7UYb2ww8/ kLH/4Q9/mDVr1q5du+jPlJSUkJAQljeabTlcX3KLN4b29ddf0wu6z+vUqUPD ITIc7w1t27ZtrJamhzTws5nT2UN3hcW6g33y5MmnT5/mD4TBY2jBwcH2VWw7 FuVfKyF3ZZPfZcuW6VvSxdIy5kKJzIamh4aprVq1slgXNo8cOSLWxzTcdjd6 xLCsZmVl2dfSDWlzdcQiuTwe3IZAg3C2K5imXfpyUYb2wDqfte/g9OhkqVu5 cqUHx/TG0EhMzZo12Z/vvvsu1XpvaATNzpgzEHT8IUOGrF+/3tlX4Wjm+8QT T2iD1Xbt2sXExBw/fpwzHB5De/XVV+2r2GciNpe1devW9sPFf/zjHxbr1nrX Sn4thkYkJiaybC9YsECch/0Pbrubtovb4YYlNowcNmyY0fwYSqO08nhwHQJd AppTsBCGDx/+to7mzZuzGQf78/vvvxcr7O7du2z6M27cOJ7227dvj9ZBjtG9 e3d9yfXr1128XW9o9CddFPYni0uIoRH06O/fv79+BZ5ijIqKcviBSGlp6dy5 c9mwQe9sNIB0u7rosaGRn9gb2oQJE9hwcc2aNaxk3759zPPdbmX5FRmatqRG D2txHvY/uHWMPXv2OHuOa/sBaNBuND+G0iitPB5ch0CTHQsf69atE66N5pt0 ZBoz8DSOi4t7SUeVKlVohKMvycvLc/F2G0NLTU21WBfxWK0oQ2PQiJSm1fQU oIk2ewuNc2iu7az9yZMnaThEIWgDvPDwcNenEGtoNOt88skn2alpDh4UFMSU UIbdbl37FRmatieBJiMCTUyPW8cgW2DLp2FhYTZV2gAyISHBaH4MpVFaeTy4 DuHGjRsLnfCnP/2JxNM4jf2Zm5vr8Ahnz56liZXbJSN7aBBSvXp1C/cIzQZv ppzs7HRdDh48yGrFGpoGGQWNwdgPPgwaNMht++zs7Oeee46dxfWNJ9bQaExI ImvVqvXCCy888sgjdF1ooEi9nmd7rWyGRjfkF198YfO9J4JudW0TS3Jysq8M jejRo4fFuudQv5W6vLw8ODjYYt37zbYZmIHk8njgCcEhPGton3/+OfPz2rVr O1w6Jt+YMmUK2b591fz589ndRc7vgTwvDc0G7w2NxrrO8sweDTZfw9+2bVtZ WZl9YzZ0JJxtZGWINTQaqVIhjSpdnNEZshnagQMHKJZGjRrNmjWLkkwPYuqY 9IIGwCyxzz77bGFhoQ8Nbe3atUxJ165djx07xr5aEhUVxTk49wbJ5fFgqqHp N3w6/LkkuqmY28fGxv7y352lNCObOXMm23XcqlUrz35BTipDo4O3bt06ICCA knbu3Dl91datW9lSqn6nxLJly1jsNoNbGkUwwyFstqLZINbQ2NbTwYMHX716 1cVJHSKnoTmD8nbo0CGT3IzT0OhBNnDgQE2S9lVigu4iZ1MhIUgujwdTDU2b HxGLFi2yb7B///7HHnuMNSAHa9myJeVE+6mlmjVrnjhxwgNtDyQzNLrK+r2s FFenTp169eqlLfg3aNDg/PnzWntSzjZdW6y7ZZo1a0ZzvT//+c803WOF0dHR rsMRa2jsWjPq1av3hJXmzZvTqLJPnz5Lly4lp3WmRDZDu3Tp0tSpU59++mkb K/Pz8xsyZAhNSM1zM05De2CdwU2cOJEtuTAojT179nS7YuklksvjwVRDS0hI YAOtJk2aOPuQkfoCdU/205f6/ERERLgehLgmLi7O0Aevt27d8rNSXFxsX8sM bejQoS6O4HYNbe/evb1799Y+CGA89NBD1I/sd5pRWmbMmPHMM8/YfMmIDN9m G79DXBsaW+5w+BUVh4Z29OhR7VtaDiFnc7ZMKpuhaVy4cIGep+xXPQ8ePGje F9L1GOpu5Bs5OTlJSUnp6emlpaVGc+IBksvjwWND46SgoIDG8DxfYjpz5syu XbtSUlKys7N5fobi10thYeG+ffvS0tIo827vBBrh022ze/fu7777ztQf3HAG uRkNKenBFBsbe+rUqczMzAwr27ZtW7JkibaqQBE5fLu0huYTzO5uXiK5PB4U CAGYCvtBP2c/obBz505maL/GL6dXPJJ3N8nl8aBACMBU2HcH3nrrLYe12p5b Z0sKMDQ9knc3yeXxoEAIwFQ+/fRTNgYLDw+n+WZJScn9+/cvXbq0YcMGtiWJ oDbO3k6GNnXq1GQrNHt12Ka8vHzTpk2sTfv27WFovkJyeTwoEAIwlbt37/71 r3+1+UBQe12vXj3XnyY3a9ZM+1/ejB071mGb27dvN27cWGv2wQcfGBUJQxOC 5PJ4UCAEUAGcPn16/vz5ISEhz1t5/fXXyZ1Wr159584dX0v7f2BoQpBcHg8K hAAADE0IksvjQYEQAIChCUFyeTwoEAIAMDQhSC6PBwVCAACGJgTJ5fGgQAgA wNCEILk8HhQIAQAYmhAkl8eDAiEAAEMTguTyeFAgBABgaEKQXB4PCoQAAAxN CJLL40GBEAD4CQAAAAAASImvx4kAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAgPr8H3YTWX0= "], {{0, 234}, {411, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{205.5, Automatic}, ImageSizeRaw->{411, 234}, PlotRange->{{0, 411}, {0, 234}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.779623491227057*^9, 3.77962350352455*^9}, { 3.779625365755485*^9, 3.7796253691596127`*^9}, 3.780051239915719*^9, 3.780052563709675*^9, 3.780054181985773*^9}, CellLabel->"Out[6]=", CellID->669676385] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["Scope", "Subsection", TaggingRules->{}, CellID->204653245], Cell[CellGroupData[{ Cell["Result representation", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.779623543233724*^9, 3.779623548993235*^9}, { 3.780336038340845*^9, 3.7803360508020906`*^9}}, CellID->789376604], Cell[TextData[{ "For large contingency tables instead of using ", 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", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " it is faster and more convenient to use sparse arrays. That is specified \ with the option \[OpenCurlyDoubleQuote]Sparse\[CloseCurlyDoubleQuote]:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.778763655312498*^9, 3.778763658429035*^9}, { 3.779623033836733*^9, 3.779623063820766*^9}, {3.779623171010387*^9, 3.779623342710081*^9}, 3.780333665506524*^9}, CellID->799752424], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "30"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"SeedRandom", "[", "32", "]"}], ";", "\[IndentingNewLine]", RowBox[{"sarr", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"CharacterRange", "[", RowBox[{"\"\\"", ",", "\"\\""}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"RandomWord", "[", RowBox[{"\"\\"", ",", "5"}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomReal", "[", RowBox[{"100", ",", "n"}], "]"}]}], "}"}], "]"}]}]}]}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778697587292699*^9, 3.778697695731748*^9}, { 3.778697733028006*^9, 3.7786977551996*^9}}, CellLabel->"In[1]:=", CellID->821465313], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>", ",", "47.70675693613035`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "57.67898693944298`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>", ",", "7.224970060914671`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "80.94146726800125`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "84.69823825726664`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>", ",", "24.580602442923876`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>", ",", "12.351444499435331`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>", ",", "0.8623450464170475`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>", ",", "28.077077337892604`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"atavism\"\>", ",", "58.730094373073854`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"hymn\"\>", ",", "37.69368338725093`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"league\"\>", ",", "75.05196292553399`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>", ",", "3.378444489813319`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"tagliatelle\"\>", ",", "71.9667815216444`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>", ",", "73.56329785870915`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>", ",", "67.12954977989179`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"atavism\"\>", ",", "79.65136987921656`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>", ",", "69.23797989608568`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>", ",", "83.2487637140282`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>", ",", "47.8905241446854`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"atavism\"\>", ",", "73.62391561915717`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "90.98073007003515`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"hymn\"\>", ",", "33.89041683921431`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"atavism\"\>", ",", "47.32341789605877`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"crampon\"\>", ",", "38.472654586339786`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>", ",", "23.456356520038057`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"crampon\"\>", ",", "2.975406649927706`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>", ",", "65.11889950671633`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>", ",", "39.97305815004532`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "59.6135228277586`"}], "}"}]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.778697675364046*^9, 3.778697696173007*^9}, { 3.778697750877865*^9, 3.778697755460124*^9}, 3.778697881555976*^9, 3.778763328514245*^9, 3.778765297784429*^9, 3.7796229950172853`*^9, 3.779623580396265*^9, 3.780051240069069*^9, 3.780052563904451*^9, 3.780054182153338*^9}, CellLabel->"Out[1]=", CellID->853389040] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", RowBox[{"sarr", ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779623000177034*^9, 3.779623023915934*^9}}, CellLabel->"In[1]:=", CellID->600781809], Cell[BoxData[ RowBox[{"CrossTabulate", "[", RowBox[{"sarr", ",", RowBox[{"\<\"Sparse\"\>", "\[Rule]", "True"}]}], "]"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.779622995417701*^9, 3.7796230244174347`*^9}, 3.7800512400245132`*^9, 3.780052563841669*^9, 3.780054182117535*^9}, CellLabel->"Out[1]=", CellID->730758782] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Using a third, numerical column", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7796235536734257`*^9, 3.779623571088719*^9}}, CellID->123576838], Cell["Here is a full array with three columns:", "Text", TaggingRules->{}, CellChangeTimes->{{3.778763334649973*^9, 3.778763377298751*^9}, 3.780333675508833*^9}, CellID->270390539], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "30"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"SeedRandom", "[", "32", "]"}], ";", "\[IndentingNewLine]", RowBox[{"sarr", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"CharacterRange", "[", RowBox[{"\"\\"", ",", "\"\\""}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"RandomWord", "[", RowBox[{"\"\\"", ",", "5"}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomReal", "[", RowBox[{"100", ",", "n"}], "]"}]}], "}"}], "]"}]}]}]}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778697587292699*^9, 3.778697695731748*^9}, { 3.778697733028006*^9, 3.7786977551996*^9}}, CellLabel->"In[1]:=", CellID->821465314], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>", ",", "47.70675693613035`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "57.67898693944298`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>", ",", "7.224970060914671`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "80.94146726800125`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "84.69823825726664`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>", ",", "24.580602442923876`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>", ",", "12.351444499435331`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>", ",", "0.8623450464170475`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>", ",", "28.077077337892604`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"atavism\"\>", ",", "58.730094373073854`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"hymn\"\>", ",", "37.69368338725093`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"league\"\>", ",", "75.05196292553399`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>", ",", "3.378444489813319`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"tagliatelle\"\>", ",", "71.9667815216444`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>", ",", "73.56329785870915`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>", ",", "67.12954977989179`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"atavism\"\>", ",", "79.65136987921656`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>", ",", "69.23797989608568`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>", ",", "83.2487637140282`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>", ",", "47.8905241446854`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"atavism\"\>", ",", "73.62391561915717`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "90.98073007003515`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"hymn\"\>", ",", "33.89041683921431`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"atavism\"\>", ",", "47.32341789605877`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"crampon\"\>", ",", "38.472654586339786`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>", ",", "23.456356520038057`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"crampon\"\>", ",", "2.975406649927706`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>", ",", "65.11889950671633`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>", ",", "39.97305815004532`"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>", ",", "59.6135228277586`"}], "}"}]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.778697675364046*^9, 3.778697696173007*^9}, { 3.778697750877865*^9, 3.778697755460124*^9}, 3.778697881555976*^9, 3.778763328514245*^9, 3.778765297784429*^9, 3.7796229950172853`*^9, 3.779623580396265*^9, 3.780051240069069*^9, 3.780052563904451*^9, 3.780054182153338*^9}, CellLabel->"Out[1]=", CellID->853389041] }, Open ]], Cell["\<\ Compute the contingency table of the co-occurrences of each letter and with \ each word found by cross tabulating over the first two columns only:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.778763384162034*^9, 3.77876350736196*^9}, { 3.779623582531582*^9, 3.779623583948299*^9}, 3.780051801068151*^9, { 3.780333688395563*^9, 3.780333690252922*^9}}, CellID->404653698], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", RowBox[{"sarr", "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}]}], "\[RightDoubleBracket]"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778697767383833*^9, 3.778697769465324*^9}}, CellLabel->"In[2]:=", CellID->486379909], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXlwFVX+9sMWtgJeQJiZmhkgM/IHUFMCVsGopTWDBhCKYYzlwkzpKAMB BCETFsWRCCQsQqKyihkYCChLwo4LSqKAiURCQhIhIAqySBAIl+SKUsOSfr+/ e8pTbfddTt/bfXLu7efzhyXdzb3f/pzT5zm93CZh5KSk5MZxcXGTW9B/kp59 4c+pqc9Of/T/0R8emzh53JiJo0c9PHHK6DGjU/84sgkt/GWjuLhRtP3//b8G AAAAgKB8CQAAAAAAAAAARIxXJRQsKQaAVfnAuRcShIEoZUFWugpYlQ+ceyFB GIhSFmSlq4BV+cC5FxKEgShlQVa6CliVD5x7IUEYiFIWZKWrgFX5wLkXEoSB KGVBVroKWJUPnHshQRiIUhZkpauAVfnAuRcShIEoZUFWugpYlQ+ceyFBGIhS FmSlq4BV+cC5FxKEgShlQVa6CliVD5x7IUEYiFIWZKWrgFX5wLkXEoSBKGVB VroKWJUPnHshQRiIUhZkpauAVfnAuRcShIEoZUFWugpYlQ+ceyFBGIhSFmSl q4BV+cC5FxKEgShlQVa6CliVD5x7IUEYiFIWZKWrgFX5wLkXEoSBKGVBVroK WJUPnHshQRiIUhZkpauAVfmEdF5bW/uf//znrbfe2r9/v7SqJCPS8ZiEvXv3 yilJTdQ8Qg8cOEBNk52dffny5YauxYi52zhUrUuysrKysqys7JtvvrHrA4Nz +vTp53wsWrRIzjcKomBDxzwhnV+5ciXZR05OjrSqJCMyYWAS/vvf/0qrSkFE jlDJoxmRm5vLWufbb79lSyIf4mzZC7/dxlytLbgkK8eMGUPqaAZi1wcG5+TJ k6yxFixYIOcbBVGwoWMeZKUXWSmMyBEqeTTz+kufyIc4W/YCWemN8qw8f/58 lg9qNTnfKIiCDR3zICu9yEphoiUrIx/ikJV2EdVZqSwKNnTMg6z0IiuFiZas jBxkpV2IlFReXr5169a33norMzNz9uzZr7766ptvvrljx47vvvuOb3PkyJEt W7YwdWlpaVt0XLx4kTa4cOHCnj17aJhasmTJ3Llz2eeQ+cOHD+u/q6qqiv0t +h9zJZcuXWJri4uL2ZLt27fTHw8dOmTY8uTJkxs3bqTvSk9Pp7JXrVq1e/fu 6upq/U7RX9y2bdvVq1e/+OKL9evXz5s3j6p6++23eUk0qaPdXLp06YwZM+hD qG/U1NTYZZVx6tSpnTt3Zmdnz5kz5/XXX6dvP3DgAJVkLpL++PXXXxcUFFBb fPDBB9R7BZV6fV2dPoQ+qrS0lCKD/vry5ctppxYvXvzee++xBiLI6tq1a6mS WbNmUXOXlZUZPkdfD/0/SaNvnDlzJh2JRUVFfnewpKSEdmrBggXUK5YtW0Z/ l6wGKc/j8dBOkZBXXnmFWmTNmjWnT58WMWkpK4N/y7Fjx4J0QtKl74ROuD1+ /PimTZsWLlxI0qhx8/PzRQyISAiSlfS99EW0nIqkNqW9oM5v6PDiXU6/X+vW raPPJNXUw2kH9+/fT3tKH863uXz5MlNKw4jhr584cYKtMncb2tO8vLxFixaR bepgVFVFRUWQfTf83SCiQo5mIkOiHtrBXbt20Ujy8ssvk9sVK1YcPHiQfSAN Pnwzv+ljHuIEWyHkXjBE2t1qVkbeNFGaleQ52R/jx4+nkZBtQ4eA320I6u20 QWFhYaANqL/xdKDmZgv93sv+6KOP2FrqeN7ABz6lJJtNGRg7dizf2Q0bNrCF 1MkNG9MfaWTbt29fSkqK4ROo6UUe+hKxSsW/++67zz33nLnOyZMn06irL5IG bRo59dvQBoJKvbqYoKacPn26YeP58+dTUtDYblhOHuiQ1NfM66FBz/yl77zz Tl1dnf5LV69ebd4sNTWVdxtDeTSc/vvf/zZs//zzz+vHk7Cdi38LHddsYVZW lvlzKAHZWvofJ9xSgpt7L00zQhoQkRDokKG5Jc0qzY1Fe6SfMIh3OYImJDRN CrQ97SPfkhSxhTSMGAqmYZyt0vcB2guaYY4bN878sfSNkYsKOZqJDIkcqtzc MTiUXHxLc/r4bS/BVgi5F17hdhfPSruaJqqzcurUqW+88QaNfnQSwZt+0qRJ bL5Hc0Wan/OF83ScO3fO+1P7UlrR7IWmVTSTf+2113hSULrxr2PjGG1pnq6w ZqWGoJmVN0AL7t27ly2cMGEC9RxqIJp9vfDCC2zh0aNH2WZ8aOI109zsxRdf NLQvHdE018rIyOCtTz3BFqt8ykdfQSPqypUrqQAasdlClsiGIvXwrBRRysdz DuUF/S1zUtP0gMqgtmZ//Ne//qWfYRrqoY2pcr20Tz/9lG9MjcIWTpw4kcqj JKWN+S7r/ZjLoz5AG9NfZH+kUiN3bulbyA9baHiAkCYDrH9S77p06ZJzbqkn UG36Mdk8CIchwe8hQ2cZVAxbTofMNh90OsCW0PyQD7/iXU6/R7Q9fRp9Ix2J dKDxPsC3tJqVPAVIKZ200syZ/svbkWa5EYoKOZqJDIkM+n9eGI1CdNZGG+vj KeysDNkKIfdCvN3Fs9KuponSrCwqKjp27JhhIR8J9RffglwbP3PmDA2kbHjh 0PSGaaThhS8kveyTt2/fbiiVLafuwZb4bUF2ykPRph/laIijDkbfwidU/ECm kzgqjJ0Q0QfS4cy7MeUXC2Wv7oTXlnGbamN9m/qw/uoK+aFMoaPAnJV0fH34 4YfHjx+nqSANm1SwuFL9eE7n0bxv08yBvostnzZtGp1NMw90jNCxw5bry+P1 vPTSS/wyuFd3gFCRvAzWGWhLfUN88MEH/Nj0W97SpUv55VA6ovkkhx3dkTi3 9C38CgY1h/5DyAZbTgOUQ27pvPvjjz+mrmhwu2rVquAGRCT4PWRycnLYwoKC Av3GvCR+EVi8y3311Vds92l39Nff6GST8iU5gqw8e/Ysnb7RktmzZ/PDky1n F4IowoJK+j8ivF8pPiTSYMUHE9p3vpx2hy0PIyvFWyH4Xoi3u2BW2tg0UZqV gf4iE7V582a+MIz7yCyb6LDig8N3333HcoSGWf2WND9h38gPPb8tyM4I6AP1 jWWG9wdqR/3y0tJSttx8xYB98pQpU0LuVEira9euZd9C2WFeyyvnRdLJLPcT ErNSPp7TAWvYeO7cuWyV4doyHe9suf5SIa9Hf+eXQWffbBWLG4oS9sfPPvvM sCU/u6TQD1kePx5D3u8Qz0qRbyEbbOShY5xdD2csWrSIbfn111+H/Njw3Bo6 JJ17ssNh4cKFwQ2ISDAfMjTkssOWT0E5tGvsQkfIB4HMXW79+vWG8ZZD40Ny BFlJsxdD/+Fs3bqVrQr5tEmEWRnoM9m38yGR2p0tefHFFw0XqCnv2KowsjIQ 5lYIsheW2l0wK21smujNSjpbP3DgAMUHHf7Tp0/n59QEHRR8s5C9izr8xo0b X3vttbS0NDr919+X0V+P4pMxfreapmRsZjJjxgy+md8W5O1F0UYHmvmRAAYf mgy34+kkiC3ftGmT4a+wu040cIXUFdIqu/lIH6WfaooXqUdEaZBHQN966y22 ynAs0wksW64/uw9SDz/9qays5DtI/UR/B5PBRz9+ZhqkPH5F3Zy5BsSzUvBb +HyGz7ppfGN69bElwS1NGmk5zUaCG/CGlZVHjhxhS2ik/dAEGzMNP+4T6XLs 8g71cPMcL8KspO9N9iWCuVo6r2cbl5eXRyjKG2o0ExkSq6qqAu1X5FkpOJYG 2gtL7S6YlTY2TZRm5cGDB/ldBjOCWUnTGP3lTTP69uUPV9Bow5Z8+umnbMn7 77/PN/PbgkePHjU8GkEn/tRSNEDp6wk0NFG2suWGmy/enxJ83LhxwXV5BaxO mzaNPurll18O/jnBs1JcaZDxnD9+YxjPT506xZYLjucff/wxW8VuWbKrmnQU m8suKytjW7IHtIKXR3nKVjmalX6/hf8MnF9Ypi7BltAgKfKxdrmdPXt2suna ml/CyMpPPvkkSBdi8HYU73Ls/p3fHh5hVgZ5ToZTWFgYoShv0NFMcEjkbs2v VYwkKy2NpYH2wlK7C2aljU0TjVlJwwKPHjpaqRtQ7z106BC/fyeYlbNmzWLb U9ZQ6OzYsYPGJToHWbp0qbl9CTp/TPbNS9njzVlZWcm+x8z0TzsHmnSVlJSw 4cXAsmXL+HlcoKGpurqaLTdnJTtNsCUr2bQtIyMj+OcEz0pxpUHGc36x1DCe 8/NrwfGc3+BjccOm2X53kPcc/quBIOV9/vnn+o8NQiRZGehb+I1FOkGgnpOa mprsu56mP1eS4JY9CuJQVr777rtsCQ2MiwLAb9qKd7nJkycnBzgXZllJZx98 iaWsZF2L/nqgagm/P/axJMobeDQTHxLpfIot0U+uGGfPnmWrtm7dyhcKZqWl sTTQXlhqd8GstLFpojEr+XWk9957T389jeY2ho7h/aldsrOzDR/CBwdqF8PP 5fhT5Yas5E/m7969m/qV3xYPfjGfZu90skMjmP5hQuohbG3DZiW7uxfy1meQ 8dOSUgnjOW3GVrFjge0gnT6bd4qOa7Ylv7apbFbSEMeWU8fj12kND0JHe1by fTT8hsWMpS7HaqbENH9OkPPKvLw8w8bmrGRJIfKUSBDEs9I8mokPibxfUWga PiTs80qrY2mgvRBvd79l+K3WxqaJxqyk8TzZ9zCb4b6D36xkT74tX77c8CH8 pEN/BZURKCv5Ez7kn/+8wvBTZfEb39Qf2Ja8tobNSiqDfctXX30VZDOR8zgR pRLG81dffZWtYs+xsCkuHaeGJ1X0H8IfpFE2K6mDsYvJ48ePZz8VMVzZCP6x UZGV/IJwyJ9wWupy9Gl+j1mvv6w8d+5cIIfmrOR3vvjjVWEgMhQHGs3Eh0Q6 utmS1157zfAhYWel1bE00F6It7vfMvxWa2PTRGNWsidqKLYMhzCdFBg6BsF+ O6Z//IbBfylAA4J+OUnmPzXSP23I4PM3hvl6jt8WpHoMtya9vhvxbEs+v2rY rORnzYsWLTIfcVQbG12DjJ+WlDo9nvM56vz589kSOpDZktWrV+u3vHDhArv+ PHHiRP7Qu7JZ6dWdL5t7WsiPjYqspCX8J5/mS4Ve381c9iMIS12O37/OyMjg z3XTPIrOHNnorc9KqoH9fpkmJPozNfpk9rhIsi4reVjQJ5sfjaPvoq8I/sic iChv4NFMfEik/WLPZdHOkhC+ZWVlJb9JZDUrrY6lgfZCvN39luG3WhubJhqz kv809fXXX9+3bx/NEkkIP4lI/nlW8uUUNPSxx44dY6/54s/qTJo0aevWrfRH Gp1oG/7T+2TTeaXX16P0w5T5OobfFqT5HvXMFStWUFvTSQ19e2lpKb8Vzidj DZuV1GH4q2PIcFlZGfU3+ivbtm1jN8UMv680j5+WlNo+ni9evHj//v1VVVVU OX9LEv2X/+iMdpC/o4C+lD6NaqCN2dCR/PMrmSpnJfUH/UtIzF8R7Vnp1T3a RC1INVMqUW+ko48OFvYDn7Vr13otdjkeE8m+eRF9DqWD/v0M+qz06u7B0bkJ 9RP6ZBpY9J/Ms5I+mYcCfQUNSnSKREoLCwvfeecd9leCPDcuKMobeDSzNCTy OUOy70mnhQsX8oRiWM1Kq2NpoL0Qb/dA3cZvtXY1TTRmZXl5ud/3xfntGH5f vnTixAmaK/LHJALh91Wr/FYjeTa/XC5QVgb6ijlz5ijybI/X1+f1z5kbCJmV lpTaPp77RX/Ue31PWE2YMMHvlnPnztVPL1XOSq/u+gYNO5Y+Nlqy0qu7fOcX NmZaPYqPHz9ufhHWJB/JpuOI38UOhP69PTSksCfJA2FLVgYazSwNiSSc/4pN D38xlL4PiGSl1VYItBfi7R6o2/h9b49dTRONWen1vSuJvwqJQYPG4cOHWYcx /A6RzhfYqxsYY8eOZb9LpRNww3POKSkpNLqyNwzQR5mvwXp1l/L83pGkbsOu 5+iHKZrM0MTP0Jkpamks0t9pYg1NmxluP1FTsr+if8cCY+XKleyjguvyCv9q lfrY8uXLDe9OpIFxz5497MJsoCIZ4kopmJgQ8wsW2Mak0TCe8+f09CeAfDyn DqA3TOfIFDfmCs1vm6SdpZ0yvzg0UHn8PTl+P1+PyLl8eN/Cf1bv9/3wdrkN 0tbsnQb8pytBCCnB7yHDoBMK+grDgTN58mTakg+tVo9iOprYvz6QkZFBJ4yU C+fPn2efYHjTiNd3Y0J/4kkTrby8PP6kgeH5SYoD6o2GH25QAdQz6Swv5Is7 BI/QQKOZpSHR65s3Uu7QyRqdV1I/oRO6L396ccHevXv5ZvzBDH7V2m97WW2F QHvBEGl3v2WYq2XY0jRRmpVe340GUkoxRKOK+WkNAzR6kGTqOfTJhlajGTVN IGmqc+TIEcMAYi9UA3sXHEH/E/Iiub1YamjqPKdOnaI6aTTwm4nBkabU+/Nz H+oStI90dhxyokgblJWV0fBC2ztXoUMHF3Vgdn+KZsvir05qKCKXQA309ddf 05yBzuMCvccjki5Hoy67Nqt/ySGH3a+hcYbOSQVtV1dX01+hw4fK9jvf9ou4 qECjmaUh0Qx/rJq9uyMMLLVCkDGZIdLuVomkaaI3K4ElYtWqyHuEGgqHnPPH FQxvJ1YTpTre6dOnzS804297bth/n12aKJob0BzYkPukhb+BP4zpcWyDrHQV sWrVbVnJ/1WR5557LvjrhRVBqY7HXhKYnp6enZ2dl5fHXgfHrxk2bEZIE8We wKf9XbRoERnYvHkz2eAPKuhfRAAYyEpXEatW3ZaV/JmfCP9ZeWko1fH4C3UN UHD4/ZGCTCRnpV8oPcWvTLoHZKWriFWrH3zwQVpa2iuvvCLyD15LxgnndDaU 5sP8i101UarjlZWV0Rxj5syZU6dOff7556dPn56VlUXTLRUmWtJEeTye3Nzc zMzMl156adKkSTRPoBPtN998U/9P2gE9yEpXAavygXMvJAgDUcqCrHQVsCof OPdCgjAQpSzISlcBq/KBcy8kCANRyoKsdBWwKh8490KCMBClLMhKVwGr8oFz LyQIA1HKgqx0FbAqHzj3QoIwEKUsyEpXAavygXMvJAgDUcryJQAAAAAAAAAA YBMNfY77M1hJGrAVWJUPnGuQIAxEKQuy0lXAqnzgXIMEYSBKWZCVrgJW5QPn GiQIA1HKgqx0FbAqHzjXIEEYiFIWZKWrgFX5wLkGCcJAlLIgK10FrMoHzjVI EAailAVZ6SpgVT5wrkGCMBClLMhKVwGr8oFzDRKEgShlQVa6CliVD5xrkCAM RCkLstJVwKp84FyDBGEgSlmQla4CVuUD5xokCANRyoKsdBWwKh841yBBGIhS FmSlq4BV+cC5BgnCQJSyICtdBazKB841SBAGopQFWekqYFU+cK5BgjAQpSzI SlcBq/IJw/n333/vUDENBTqeIBClLGFnZUZGxp99DBw48NKlSw2elfX19YmJ if369Tt48KBzuqIdWJWPuPOCgoLHHnusW7ducXFxHTp0GDRo0OLFi50uTw7o eIJAlLKEl5Uej+eOO+6I+4k1a9Y0eFbm5uayYnbv3u2crmgHVuUj6DwnJ6dZ s2ZxJkaNGnXr1i0JdToKOp4gEKUs4WUlbyDG4MGDGyorN23aNH/+/GHDhjVp 0gR9JiSwKh8R5yUlJcxz586dFy5cuH///lWrVvXv358tzMjIkFOqc6DjCQJR yhJeViYlJVHrtG/ffsiQIfQ/1F6nTp1qkKzs0qWLYR6OPhMEWJWPiPMxY8aQ 5Pj4+MLCQr7Q4/HceeedtDwhIaG+vt7hMp0FHU8QiFKWMLLy3LlzzZs3p9Z5 9tlnN2zYwFpqwYIFDZKVmZmZL/kYMWIE+kxIYFU+IZ3/8MMPbdu2JcnDhw83 rFq2bBnzX1BQ4GSNjoOOJwhEKUsYWbl06VLWOh9++GFNTQ2dXdL/9+3bt0Gy krN37170mZDAqnxCOi8uLmaSs7KyDKuqqqrYqpkzZzpZo+Og4wkCUcoSRlbe d9991DRdunSpq6ujP9LZJWusQ4cOISsVB1blE9L5jh07mOT8/Hzz2vj4eFo1 btw4xwqUATqeIBClLFaz8siRI6xpJk+ezJbQ2aVhCbJSWWBVPiGdZ2dnM8l+ H/vv0KEDrUpKSnKsQBmg4wkCUcpiNSvT0tJY05SUlLAldHb529/+lpbQf9mZ JrJSWWBVPiGdp6enM8lVVVXmtewpjnvvvdexAmWAjicIRCmL1azs3r07tctd d92lX5iamsra6/3330dWqgysyiek8xkzZjDJJ06cMK9NSEhAVroHiFIWS1nJ 22XcuHEVOjZu3MiWP/XUU8hKlYFV+YR0vmTJEia5vLzcvLZTp060aujQoY4V KAN0PEEgSlksZeXYsWPjgtK2bVu73neHPuMEsCqfkM75mz2KiorMa1u2bEmr Ro4c6ViBMkDHEwSilEU8Kz0eT8eOHYNnZZx977tDn3ECWJVPSOf79u1jktet W2dYdeHCBbZq+vTpTtboOOh4gkCUsohn5aZNm1ijzJkzp9wENVmjRo3i7Hvf HfqME8CqfEI6p0Bs3LhxnO/Vr4ZV/O5GTk6OkzU6DjqeIBClLOJZ+cgjj8T5 XsN17tw5vxs88MADcfa97w59xglgVT4izmmGGed7GezFixf5wvr6+kGDBtHy Nm3aXLt2zeEynQUdTxCIUhbBrOTvtRs2bFigbfj7fF599VVpWUljSK2PXbt2 sW/Py8tjS6J9eHECWJWPiHPSyzzThLOyspJSsrq6OiUlhS0cPXq0nFKdAx1P EIhSFsGs5Dm4bt26QNucPXuW/aNCffr0kZaVXbt2jQtAjx49JAiMLmBVPiLO b968+eSTT3LJrVu31gunI0tOqc6BjicIRCmLYFY++OCDcb5rQcEfcx06dChr ry+++EJOVrJ/GNcvPXv2lCAwuoBV+Qg6p3PJadOm0SHGVdPM8+GHH/Z4PBKK dBp0PEEgSlnE71dKxup1eyACrMrHknNKzGPHjuXm5hYXF1+/ft3RwmSCjicI RCkLstJVwKp84FyDBGEgSlmQla4CVuUD5xokCANRyoKsdBWwKh841yBBGIhS FmSlq4BV+cC5BgnCQJSyICtdBazKB841SBAGopQFWekqYFU+cK5BgjAQpSzI SlcBq/KBcw0ShIEoZUFWugpYlQ+ca5AgDEQpC7LSVcCqfOBcgwRhIEpZkJWu AlblA+caJAgDUcqCrHQVsCofONcgQRiIUhZkpauAVfnAuQYJwkCUsnwJAAAA AAAAAADYRENfdv0ZrKSGPu2ONWBVPnCuQYIwEKUsyEpXAavygXMNEoSBKGVB VroKWJUPnGuQIAxEKQuy0lXAqnzgXIMEYSBKWZCVrgJW5QPnGiQIA1HKgqx0 FbAqHzjXIEEYiFIWZKWrgFX5wLkGCcJAlLIgK10FrMoHzjVIEAailAVZ6Spg VT5wrkGCMBClLMhKVwGr8oFzDRKEgShlQVa6CliVD5xrkCAMRCkLstJVwKp8 4FyDBGEgSlmQla4CVuUD5xokCANRyoKsdBWwKh841yBBGIhSFmSlq4BV+cC5 BgnCQJSyICtdBazKB841SBDGqqhbt27V1NTU19c7VxJgWMrKsWPH/lnHgAED Bg4c+Je//OW5557bsWOHx+NpwKyk3pKYmNivX7+DBw86pyvagVX5wLkmJuHk yZOJQVm+fLmcahsQEVFXrlxZuXLlkCFDEhISmjZtGhcX16xZs27duk2dOvXM mTNy6nQhlrKyT58+cYHp27fvN99801BZmZuby8rYvXu3c7qiHViVD5xrYhJK S0uDDC/E+PHj5VTbgIiISkpKCqSoY8eOR48elVOq2wgjK6k5/uVj0qRJo0eP pulN69atWUv96U9/kpyVmzZtmj9//rBhw5o0aRJ7I4ztwKp84FyzmJU0jCT7 Y+PGjXKqbUDEs5JOJKdMmbJ69er8/Hz67z333MPs9erVS06pbiOMrLzrrrsM y7/66qtf//rXtCo+Pv7y5csys7JLly6GmVUsjTC2A6vygXPNYla6IRMDISJq 3rx5a9euvXnzpn7hjRs3+vfvzwRevHjRyRpdii1ZSTzxxBOsmY4fPy4zKzMz M1/yMWLEiNgbYWwHVuUD5xqyUhirV+z1UOdhAsvKyuytCmj2ZeWAAQNoVffu 3W0JSvGs5Ozduzf2RhjbgVX5wLmGrBQmkqwcPHgw2WvevPn169ftrQpodmTl 1atXs7KyWCefNWsWslJlYFU+cK5ZzMoVK1acPXv222+/NVxmdANhZOXt27dJ 3cSJE5m99PR0h2pzOWFkZevWrQf6eOihh/r379+pUyfWRrNnz7YrKJGVDgGr 8oFzLdznYBs1avSLX/zi+eefP3HihJw6GxxLvaW6upoG4Q4dOjBdLVq0oKDE by0dIoysDES7du1SU1PpNBNZqSywKh841yL+zQilQGFhoZxSGxZLvYW21Ft6 /PHHKyoqHC3PzYSRlR07dkz9iUmTJv3zn/988MEHmzdvztpr+PDhyEplgVX5 wLkmJuHixYvz58/ftWtXSUkJbVxcXLxmzRr+Uwgads6fPy+n2gbEUm/xeDxp aWk0Dj/66KOtWrUiS02aNFmxYoWjFbqWyO9XMo4ePdq9e3fWq6m3IyvVBFbl A+daZI+sPPXUU0zI22+/bW9VChK2qJqaml69esX5frjnnkvWMrErK4ktW7aw Lj116lRkpZrAqnzgXIssK48fP86EpKSk2FuVgkQiaufOnUxUdna2vVUBzdas PHz4MGupZ555BlmpJrAqHzjXIouA69evMyF/+9vf7K1KQSIRxW9fumFSIR8b s5LPamx5IBYjjBPAqnzgXIssAsrLy5mQmTNn2luVgkQias+ePUzUggUL7K0K aPZl5fnz53v37s2PcWSlmsCqfOBcE5OwdetWvz+i568K37VrlzPVKURIUTU1 NRs3bjT/8rS+vn7gwIFMVH5+vpM1upQwsrJbt267fNCJ5Pr165ctWzZ27Ng7 7riDNdPQoUPr6uqkZeW1a9dqfVA9rIC8vDy2hFZJEBhdwKp84FwTk9CmTZvO nTvPmjVr3759V65c+d///ldWVkbjCbPxxz/+8fbt23KqbUBCiqqoqCAbXbt2 zczMLCoqunr16o8//lhYWJiYmMhE9e3b98aNG9IKdg9hZGUQBgwYUF1dHXlQ imcl9ZlAxfTo0UOCwOgCVuUD55pwVur3ulGjRvz/aSrukn9qSjArA9G+fftj x45Jq9ZVWMrKu+++29w6nTp16t279/Dhw99//31bUtJSVtJJbqBu07NnTwkC owtYlQ+ca8L/fAa/j8Np2rTpP/7xj5qaGjl1NjghRdHYmJ6ebhbVuHHj0aNH X758WVqpbsNSVsrE6l0eIAKsygfONSsSaLQvLS3duXPn5s2bjxw58r///c/p 2pRCXFRtbW15eTmJ2rJlS2VlJd6X7jTISlcBq/KBcw0ShIEoZUFWugpYlQ+c a5AgDEQpC7LSVcCqfOBcgwRhIEpZkJWuAlblA+caJAgDUcqCrHQVsCofONcg QRiIUhZkpauAVfnAuQYJwkCUsiArXQWsygfONUgQBqKUBVnpKmBVPnCuQYIw EKUsyEpXAavygXMNEoSBKGVBVroKWJUPnGuQIAxEKQuy0lXAqnzgXIMEYSBK WZCVrgJW5QPnGiQIA1HK8iUAAAAAAAAAAGATDX3Z9Wewkhr6tDvWgFX5wLkG CcJAlLIgK10FrMoHzjVIEAailAVZ6SpgVT5wrkGCMBClLMhKVwGr8oFzDRKE gShlQVa6CliVD5xrkCAMRCkLstJVwKp84FyDBGEgSlmQla4CVuUD5xokCANR yoKsdBWwKh841yBBGIhSFmSlq4BV+cC5BgnCQJSyICtdBazKB841SBAGopQF WekqYFU+cK5BgjAQpSzISlcBq/KBcw0ShIEoZUFWugpYlQ+ca5AgDEQpC7LS VcCqfOBcgwRhIEpZkJWuAlblA+caJAgDUcoSeVZ6PJ7a2lp7g9KLrHSGMKx+ //33DhXjEqw6v3XrVk1NTX19vXMlyQcSBIEoZQkvK8+dOzdz5sykpKQePXo0 9dG1a9f7778/PT395MmTDZKV1FsSExP79et38OBB53RFO+JWCwoKHnvssW7d usXFxXXo0GHQoEGLFy92uryYRMT5lStXVq5cOWTIkISEBDqayHmzZs1I/tSp U8+cOSOnTkeBBEEgSlnCyMoNGzb86le/igtAkyZN/vrXv8rPytzcXFbA7t27 ndMV7QhazcnJoaPP3LijRo2ieayEOmMJEec07Qx0QHXs2PHo0aNySnUOSBAE opTFalZOmTKFt8vAgQNnz569adOm5cuXjx8/vn///mx5y5YtpWUlffv8+fOH DRtGGY2sDImI1ZKSEmayc+fOCxcu3L9//6pVq3jjZmRkyCk1ZhAf/ejUgI6v 1atX5+fn03/vuece5rxXr15ySnUOSBAEopTFUlZ+9tlnLJLatWtH46d5g7y8 vK5du8rMyi5duhhmVsjKIIhYHTNmDGmMj48vLCzkCz0ez5133knLExIScHPE EiLO582bt3bt2ps3b+oX3rhxg09RLl686GSNjgMJgkCUsohnZV1dHW+L9evX B9qMmikrK0taVmZmZr7kY8SIEcjKkIS0+sMPP7Rt25Y0Dh8+3LBq2bJlzHBB QYGTNcYaVu8m6KGOzZyXlZXZW5VkIEEQiFIW8az86KOPWEPcf//9kUehXVnJ 2bt3L7IyJCGtFhcXM4004TGsqqqqYqtmzpzpZI2xRiSj3+DBg0l48+bNr1+/ bm9VkoEEQSBKWcSzcsmSJSFPKpGVihPS6o4dO5jG/Px889r4+HhaNW7cOMcK jEHCGP1u375dWlo6ceJE1hbp6ekO1SYNSBAEopRFPCsnTJjA2qKkpARZGaWE tJqdnc00+v3pTYcOHWhVUlKSYwXGIJZ6cnV19UMPPcQ8Ey1atKChLwZuEEOC IBClLOJZOXDgQGqORo0a1dTUICujlJBW6VhjGquqqsxr2ZNU9957r2MFxiCW ejJtGafj8ccfr6iocLQ8OUCCIBClLOJZed9998X5fvTqxFt6kJVyCGl1xowZ TOOJEyfMaxMSEpCVVrHUkz0eT1paWmpq6qOPPtqqVas43w+WV6xY4WiFEoAE QSBKWcSz8plnnmGjKE1dkJVRSkir/K50eXm5eW2nTp1o1dChQx0rMAYJ4w4U o6amplevXnG+3+/4nbpEEZAgCEQpi3hWzp07l42ieXl5yMooJaRV/vqjoqIi 89qWLVvSqpEjRzpWYAwS9uhH7Ny5kzVHdna2vVVJBhIEgShlEc/KLVu2sIZ4 9tlnkZVRSkir+/btYxrXrVtnWHXhwgW2avr06U7WGGtEMvrxG1IpKSn2ViUZ SBAEopRFPCtPnz7drl079njP/v37g2xpy4OyyEonCGmVArFx48Zxvle/GlZt 3LiRGc7JyXGyxlgjktFvz549zPmCBQvsrUoykCAIRCmLeFYSb7zxBmuLHj16 HDp0yLzBN9988/e//71Vq1bISjURscp+0dy5c2f9m7Lq6+sHDRpEy9u0aXPt 2jWHy4wpQjqvqamheYjhlWWazzl7+DwuwM9dowhIEASilMVSVtbV1fXr1481 R4sWLV5++WVqlOrq6iNHjmzYsOHFF19kv/SR+T5YGrdrfezatYvfTmVLMKSb EbFKApnJBx54oLKyko5BauKUlBS2cPTo0XJKjRlCOq+oqCCxXbt2zczMLCoq unr16o8//lhYWJiYmMic9+3b98aNG9IKdgJIEASilMVSVhInTpwYPnx4XFB+ 85vfSMtK6jOByqCTXwkCowsRqzRlffLJJ7nG1q1b65WePXtWTqkxg+DoF4j2 7dsfO3ZMWrUOAQmCQJSyWM1KBp169OnTh04t9c0UHx9PZyJvvvnmpUuXpGUl +8eI/dKzZ08JAqMLQat0Ljlt2rQ2bdpwmc2aNXv44Yc9Ho+EImOMkM6pt6en p/fu3dvQgRs3bkxn8ZcvX5ZWqnNAgiAQpSzhZSWjrq7uyJEj27dv37ZtW2Fh oS0RaTUrgSUsWaXEpDlqbm5ucXEx3sYcNuLOa2try8vLd+7cuWXLlsrKylhy DgmCQJSyRJKVjoKsdAJYlQ+ca5AgDEQpC7LSVcCqfOBcgwRhIEpZkJWuAlbl A+caJAgDUcqCrHQVsCofONcgQRiIUhZkpauAVfnAuQYJwkCUsiArXQWsygfO NUgQBqKUBVnpKmBVPnCuQYIwEKUsyEpXAavygXMNEoSBKGVBVroKWJUPnGuQ IAxEKQuy0lXAqnzgXIMEYSBKWZCVrgJW5QPnGiQIA1HKgqx0FbAqHzjXIEEY iFKWLwEAAAAAAAAAAJto6MuuP4OV1NCn3bEGrMoHzjVIEAailAVZ6SpgVT5w rkGCMBClLMhKVwGr8oFzDRKEgShlQVa6CliVD5xrkCAMRCkLstJVwKp84FyD BGEgSlmQla4CVuUD5xokCANRyoKsdBWwKh841yBBGIhSFmSlq4BV+cC5BgnC QJSyICtdBazKB841SBAGopQFWekqYFU+cK5BgjAQpSzISlcBq/KBcw0ShIEo ZUFWugpYlQ+ca5AgDEQpC7LSVcCqfOBcgwRhIEpZkJWuAlblA+caJAgDUcqC rHQVsCofONcgQRiIUhZkpasIw+r333/vUDEuAT1Zsy7h1q1bNTU19fX1zpWk JjhClcVSVo4dO/bPOgYPHvzII48kJydnZmZ+8cUXDZuVdFglJib269fv4MGD zumKdsStFhQUPPbYY926dYuLi+vQocOgQYMWL17sdHkxCXqyJibhypUrK1eu HDJkSEJCQtOmTanjNWvWjHrg1KlTz5w5I6fOBgdHqLJYyso+ffrEBWbAgAHv vfdeQ2Vlbm4uK2P37t3O6Yp2BK3m5OTQMGVu4lGjRtGEX0KdsQR6siYmISkp KdDY0rFjx6NHj8optWHBEaosYWQlzWEmTZo0ceLEp59+miaBf/jDH3hLUfNt 375dZlZu2rRp/vz5w4YNa9KkSeyNMLYjYrWkpISZ7Ny588KFC/fv379q1ar+ /fuzhRkZGXJKjRnQkzUrWUknSlOmTFm9enV+fj7995577mE2evXqJafUhgVH qLKEkZV33XWXYXlpaen48eNZS7Vq1WrPnj3SsrJLly6GmVUsjTC2I2J1zJgx pDE+Pr6wsJAv9Hg8d955Jy1PSEhw4V2kSEBP1sQkzJs3b+3atTdv3tQvvHHj Bk+BixcvOlmjEuAIVRZbspIxZ84c1qXbtWt3+PBhOVmZmZn5ko8RI0bE3ghj OyGt/vDDD23btiWNw4cPN6xatmwZM1xQUOBkjbEGerIW2QNO5IQJKSsrs7cq BcERqiw2ZiUxffp01lgTJkyQk5WcvXv3xt4IYzshrRYXFzONWVlZhlVVVVVs 1cyZM52sMdZAT9Yiy8rBgweTjebNm1+/ft3eqhQER6iy2JuV3377Lb+QjqxU kJBWd+zYwTTm5+eb18bHx9OqcePGOVZgDIKerIWVlbdv3y4tLZ04cSKzkZ6e 7lBtSoEjVFnszUqie/furCnPnj2LrFSNkFazs7OZRr8/WOjQoQOtSkpKcqzA GAQ9WbMoobq6+qGHHmKdjWjRogUFpUvuweEIVRbbs/KJJ55gTfn5558jK1Uj pFUalJjGqqoq81r2/Mm9997rWIExCHqyZlECbRmn4/HHH6+oqHC0PHXAEaos tmfl008/zZrywIEDyErVCGl1xowZTOOJEyfMaxMSEnAkWgU9WbMowePxpKWl paamPvroo61atSIVTZo0WbFihaMVKgKOUGWxPSv5A94nT55EVqpGSKtLlixh GsvLy81rO3XqRKuGDh3qWIExCHqyFsGzPTU1Nb169Yrz/UTCbzrEGDhClcXe rKytrW3dujVt06ZNm7q6OmSlaoS0yl8aU1RUZF7bsmVLWjVy5EjHCoxB0JO1 yJ6D3blzJxOSnZ1tb1UKgiNUWezNys2bN7N2fPrppyMJSmSlQ4S0um/fPqZx 3bp1hlUXLlxgq6ZPn+5kjbEGerIWWVby25cpKSn2VqUgOEKVxcaspHkOnU6y xvrkk0+QlQoS0iodbo0bN47zvVjSsGrjxo3McE5OjpM1xhroyVpkWblnzx4m ZMGCBfZWpSA4QpXFlqysq6vbsWPHL3/5S9ZS48ePjzAokZUOIWKV/fS7c+fO +leK1dfXDxo0iF1dv3btmsNlxhToyZqAhJqaGhrqDS+403wdb+DAgUyI318U xhg4QpUljKzs1q3b9u3bt23btmbNmszMzNTU1N/97ndxP0Ed+/Lly9KyknpF rY9du3axAvLy8tgSdBgzIlZJIDP5wAMPVFZW0jFYXV2dkpLCFo4ePVpOqTED erImIKGiooJ2uWvXrjSkFBUVXb169ccffywsLExMTGQ2+vbte+PGDWkFNxQ4 QpUljKwMRNu2bV944QU6tCMPSvGspIMrUD09evSQIDC6ELFKc/snn3ySa2QP a3GlZ8+elVNqzICerAlnZSDat29/7NgxadU2IDhClcVSVt599936Dty0aVPK x9///veDBw9evnz5d999Z0tKWspK9k+d+qVnz54SBEYXglZppjpt2jR+9znO 96+tPfzwwx6PR0KRMQZ6siYggQ759PT03r17G/a9cePGdKJ0+fJlaaU2LDhC lcVSVsrE6l0eIIIlq3Q80mQ+Nze3uLjYDa+tdgj0ZM2KhNra2vLy8p07d27Z sqWystJtHQ9HqLIgK10FrMoHzjVIEAailAVZ6SpgVT5wrkGCMBClLMhKVwGr 8oFzDRKEgShlQVa6CliVD5xrkCAMRCkLstJVwKp84FyDBGEgSlmQla4CVuUD 5xokCANRyoKsdBWwKh841yBBGIhSFmSlq4BV+cC5BgnCQJSyICtdBazKB841 SBAGopQFWekqYFU+cK5BgjAQpSzISlcBq/KBcw0ShIEoZUFWugpYlQ+ca5Ag DEQpy5cAAAAAAAAAAEDENPTZLQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAALid/w8aJK7R "], {{0, 280}, {612, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{306., Automatic}, ImageSizeRaw->{612, 280}, PlotRange->{{0, 612}, {0, 280}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.778697769891374*^9, 3.778697888453306*^9, 3.7787652995574093`*^9, 3.7796229951488533`*^9, 3.7796235855031652`*^9, 3.780051240110413*^9, 3.780052563963415*^9, 3.780054182189261*^9}, CellLabel->"Out[2]=", CellID->297255371] }, Open ]], Cell["\<\ Here the cross tabulation uses the third column -- for each unique \ letter-word pair the corresponding values of the third column are added:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.778697893323778*^9, 3.778697924999021*^9}, { 3.778763557449131*^9, 3.778763586732048*^9}, 3.779623601229389*^9, { 3.780051818607223*^9, 3.780051819698524*^9}}, CellID->918205109], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", "sarr", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778697519998773*^9, 3.7786975576697197`*^9}, { 3.778697603389884*^9, 3.778697604650194*^9}}, CellLabel->"In[3]:=", CellID->611780817], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXeYFEX3tkcURYIgSJBXBQGVqIj+QEHUFxERFZBkAFFUMpJZRAGJkhGU HGRRENglR5UgSUTCuizxJS45uCwsIJL3e745l3W1naa6p7e2Yc79BxfbU9Nd /dSp81R1V/c8/GGbWk0yBAKBDpnwT61Gnf/bvn2jLrVz4I+6rTs0b9q68cev tu7YuGnj9s98eDs25rstEJiI8v///6kMwzAMw9wq/I9hGIZhGIZhGIZhGF9y zk/4sEq3HiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhz BbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTD IquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3 sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDI CmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquH NVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1H MiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyekJqfvbs2fHj x48dO3b16tXKanWLIRPYJPLKlSvVVOnWw5/Z47fffkOzjhs37s8//0zvuugx hlwa1TZCbD0hISEuLu7AgQNe7dCexMTEFkGGDx+u5oju8GG73/KE1Pz06dNN gkyePFlZrW4xZMZOJPK3336rrFa3GDLZQ3HiBTExMdSyR44coS3hZ2NPzsI0 5Iy19YQIsfWmTZtCOgyWvNqhPfv27aPGGjhwoJojusOH7X7Lw7auALZ1Bchk D8WJ95yZUYafjT05C7b1cze5rR89enRIELSamiO6w4ftfsvDtq4AtnUF3Cy2 Hn42Zlv3ipva1m8WfNjutzxs6wpgW1fAzWLr4cO27hUyVYqPj589e/bYsWMH Dx7cq1evAQMGjB49et68eSdOnBBltm3bNmvWLJKue/fuszScPHkSBY4fP750 6VKk0G+++ebLL7+k/UD5P/74Q3usHTt20LfwH2NNTp06RZ+uX7+etsydOxd/ btq0SVdy375906dPx7F69+6Nak+cOPHHH388duyY9qTwxTlz5pw5c2br1q0/ /PBDv379UKspU6aIKmH8idMcMWJEt27dsBPERlJSkqyyGuTbff/+/fPnzx83 blzfvn2/+uorVOa3335DDY11xp979+5dvnw5mmbJkiUIZkmFzwUjHzvBrjZv 3gx3w9dHjRqFc/z6668XLVpE7QUg8nfffYea9OzZE60fFxen24+2Pvg/NMQR e/TogY7566+/mp7gxo0bcVIDBw5EkIwcORLfhcg21UtOTsZJQZAvvvgCDRQd HZ2YmCijpCNbtz/Kzp07bWIScmljMi203bVr14wZMwYNGgTR0LjLli2TUUAB 4dg6zgsngu0QATEDldDXdP1LPqQF0O3777/HPtGU6EEQcPXq1VASOxdl/vzz T2oyZC3d13fv3k0fGcMSZxobGzt8+HC0JgIYtdqyZYvNuXuFvcghE69M9tYC cRYsWICk17VrV7TLmDFjNmzYQDtEnhTFTI3SmI0lWzDkWRAyMePU1sNp1pva 1qFzEzNatmyJLE1l0H1MywD0FBRYu3atVQHEm3AuNDdtNF138fPPP9OnCLxz 1kkDhk4DPx3NmjUTJztt2jTaiCDXFcafyLqrVq1q27atbg9oehdrKWVExrks XLiwRYsWxmp36NABBqGtM/wFSV5bBgUkFT6ncTS0bJcuXXSF+/fvD1ODDem2 Qxb0UG2dRX2QP40HnTp1akpKivagkyZNMhZr3769iCJd9ZCZP//8c135Tz75 RJteXGsufxR0c9o4ZMgQ435g1vQp/pMW2mKwYQxmjIhCKqAA17aOUTfG28Zg gGLasZN8SAOMzTBitCoPDUVJNAFtRNbSVRiuQR9pYwxngcF28+bNjbvFEV3o 5gh7kUMmXpnsLcBZG4NWAJMVJY1GadrWki0Y8izOSceMvK2H36y3gK136tRp 2LBhyMyYi4mmb9OmDQ1rMSTGNEds7Kfh8OHD5/5pXxgrBloYAWJCNHToUOFi MGJxOMqxKGkcWVGzoiEwCDxn0YIrV66kja1atULkoIEwUOzcuTNt3L59OxUT aVPUGcPITz/9VNe+yAYYFvbp00e0PiIhLUQWg1UcEcl/woQJqA/MhTbSWEJX Zy3C1mUUFtYjgLXhW8ZBBQY2qAaanv5s166ddmysqw8Ko+ZaDdesWSMKo41o Y+vWrVE9mD4Ki1PW6mOsHkIChfFF+hNVDV9zR0eBPrRRt0wX4xYKVwTbqVOn 0k5bRALqpk3RxpysHne2jvkXTpa2o4fOCYKJEm3ByFlke/mQPqdRDOWxNxwR HR/9WsSYKOnU1oXpoMm+//57zCnwr4gTjP9dCyiDvcghE69M9ibwf3FSSJiY C6Ow1kld23rIFgx5FvIxI2/r4TfrTW3rv/76686dO3UbRZbWXm61uTly8OBB JHlKfQKMxEhGpD6xEfLSnufOnaurKm1HeNAW0xakmSNcWJuBkX4RYDiKGPuJ JIC5MCpG80rsEKlAhDG8lcYP5zSXEWQ8RUdIkVFVCnWEtPYSFuSC/aFTGG0d 3e2nn37atWsXBrHI8Ki/vMJa6xk9erQIdYx5cCzaHhUVtX79epIFXQZdibZr qyfq89lnn4nbIuc0/QWVFNWg2EBJbbssWbJEdFXT6o0YMUJcD0cHF8Mz6uzh aO7oKOIyEZpDuxOoQduRr9JI2/bt269YsQKRqdN24sSJ9goowJ2tT548mTYu X75cW1icsrjLIB/Se/bsIXkhl/YiKqbwsLMmYdj6oUOHMLHFll69eolsQNvp ah4c01akcAnz3rp89kZeFXkPuontkIK2u7B1+Ra0Pwv5mJG0dU+a9aa2dasv klAzZ84UG12seSAbRZcUievEiRPkcbAAbUkMpeiIotuatiBNrLBDbWMZEfGA dtRu37x5M203XoehPXfs2FH+7IiQIn/33Xd0UNic8VNxIqLO8+fPF3KFxKiw sB70X13hL7/8kj7S3WtA96ft2mvFoj7aRQtEjx496CNyRrge/blu3TpdSTFn x/gkZPVE9wx5/0ve1mWOAjUoEaHL0w0RYvjw4VRy7969IXfrTltdfGJGT71j 0KBB9goowIWtI8NTlhCDcwGko8tTIdfXGUP6hx9+0KV3AdJRkzBsHQM5XXwK Zs+eTR95uxBLR5i2brVPqrnI3ohJ2vLpp5/q7m7AmukjF7ZuhbEFbc7CUcxI 2ronzXqz2/rJkyd/++03OB1SU5cuXcSVCoAOJYqFjC50lunTpw8dOrR79+7t 2rXT3jTUXoEU40axsgKjRxpEdevWTRQzbUHRXnBhdFLj0hdCpE3d0hHMJWn7 jBkzdF+hW6JIqiHl0hFSZLpRjj1rB8nyddYio7DNIvCxY8fSR7quvWvXLtqu vYRiUx8xqUxISBAniLDR3m0nRCIV832b6ok7LMbhgQ55W5c8ihh6ifkC0h3J q3VYBdpiuIvtGDjZK6AAF7a+bds22oLE/pMBStG6B59lQpqu0aEHGYe7Ydo6 jtskaEDG2o4ePZoKx8fHOxdPlvBtXSZ779ixw0qT8G1dMu1bnYWjmJG0dU+a 9aa29Q0bNohbVEYkbR0jLu31bSPa9hWLlJAJacuaNWtoy+LFi0Ux0xbcvn27 bolRp06d0FJIntr6WKVNDANou+7O3bl/BhvNmze3l8tISJGjoqKw565du9rv x97W5RW2sR6xqk1nPfv376ftktazYsUK+ohur9NlbXRqY7Xj4uKoJC2DtK8e rJ8+SlNbNz2KeNuGuLOACKEtyJkyu/VK2169ejUxXMBMF1zY+i+//GITooSI E/mQpvvFpj0oTFu3WUImWLt2rSv9pAjT1iWzt2gX47uUw7F1R2nf6iwcxYyk rXvSrDevrSNlCZdEJkEYIPI3bdok7jVL2nrPnj2pPGwR/jhv3jzkTEzlRowY YWxfgFl5k+Dwmx5wGDJkSJPg6k3t8w5W48ONGzdS6tMxcuRIMR22SpvHjh2j 7UZbp9lWWtg6DTj79Oljvx97W5dX2MZ6xNVynfWIixiS1iNuRpMz0gTB9ARF IIlHkGyq9/vvv2t3a0M4tm51FHETHFMbBFL79u2bBC9aameICrSlVUw3qa0v XLiQtiAPD7dALGCQD+kOHTo0sbiCQbaOeZnY4sjWKXTxdavaAtMnH70iHFuX z96YpdIW7RiVOHToEH00e/ZssVHS1h2lfauzcBQzkrbuSbPevLYurhwuWrRI ewUVwzBdYJz7p13GjRun24lIXGgX3XPH4pkUna2L54Z+/PFHxJVpi9vfzcEk CHNGZFft+mFECH3qK1unO9Eh79rbpHpHCiuwHhSjj6hr0AlGRUUZTwrdnEqK i9u+tXVkPNqOOBQX6nVPRrCtazH2UKGh7oE+I45CmjSBuRv3YzNbj42N1RU2 2joZU1qvi7NB3taNiVc+e4uYh7/rduJ6tu407VudhXzMmFbDtLaeNOvNa+vw mibB9aW6m1amtk6LUUeNGqXbiZi7aS+hE1a2LhbOQX/x8Jfu9RHyizQQD1RS 1M1Xto5a0UH37NljU0xmdiyjsALrGTBgAH1Ey8NocI5uq1sApt2JWJ/mW1tH vNHdhJYtW9JzbbrLR/a7ZVs/p7njEPLRe0chjb2ZpohzZrZ++PBhqzYy2rq4 0ypWRSpGxjWsEq989kbmoS1Dhw7V7cS1rTtN+1ZnIR8zptUwra0nzXrz2jot VIPD6tIL5la6wAD0EK52VRshnmNCstJuh8jiuUjtAmNCDDUJ4xU20xZEfXS3 0c8FF41QSTEU9JWti0sTw4cPN3ZAVJWMwCbVO1I4ra1HjK779+9PW9Cvacuk SZO0JY8fP043IFq3bi2egvGtrZ/TXIUwBl7I3bKt0xbxqL7xeu+54MIGeurK UUiLtRx9+vQRT45gSIn5OJmF1tZRB3oNBcZm2jks9kwrqZpobF14E/ZsXNGK Y+EQ9itdw0TGNawSr3z2hia0FBNCQUxRMiEhQdzQdGrrTtO+1VnIx4xpNUxr 60mz3ry2Lh75/+qrr1atWoXBMAQRc7Em/7Z1sR2eiN3u3LmTXpgplsC1adNm 9uzZ+BOZE2XE61aaGGbr54IRpU2hxqtDpi2IoSkic8yYMWhrzA1x9M2bN4tl G2Lc6CtbR/yIF51B8Li4OIQfvjJnzhy6gat7bt2Y6h0p7Ln1fP3116tXr96x YwdqLl7xh3/FA7M4QfGaGhwUe0MdUJgySZN/X8r2s60jPLSvpTIegm1di2kP FSsSESHQBAaKaEdnR9+kpx2/++67cw5DWrhSk+AQEfuBGWlfAaS19XOae76Y tSEOsWfkMe2eha1jz8KDcAjkQEwe0WRr166dOnUqfcXmyZTwkXENq8TrKHuL oVGT4OLDQYMGCTMlnNq607RvdRbnpGPGtBpWtQ2/WW9eW4+Pjzd9EatpYJi+ KnD37t0YEovlRlaYvm5d3BaHzsa3tlrZutUh+vbt688lc+eCXUD74ImOkLbu SGHPrccUbRI4F1zH2KpVK9OSX375pXZg7GdbP6e5iIQs5Gi3bOsCm7e8Nvkn RTtNGrt27TK+JbJNkCaGbitWdFihfcscMhg9q2JFutu6VeJ1lL3RWOLpYC3i FYva+JSxdactaHUW9KlMzJhWw7S257xo1pvX1s8F3+wnXtxHIKH98ccfFDC6 57sx7aK39xDNmjWj5/2PHz+ue9Khbdu2yPz0khnsyngR/pzm4q3p3XOEDV1h 06ZQjLswRtUFM0YFyJPa26DU0CimuzeKpqSvaF+zQ0yYMIF2ZS+XEcl2R8iN GjVK945i5PClS5fSlXmrOhPyCsNDSR/jK3eoMFTVWY9YDaudVgvrQTxoBf/8 88/hjMYaGt/qjJPFSRlf7m1VPfFWN9P9a5G5QuLuKOLNJ6Y/Z+OVtjZtTa+1 Ec/ZpSMhRTbtoQSmWjgFXT/t0KEDSopM7jRpoPPSbzP16dMH03DY0NGjR2kP undbnQve+dJO5zHmjI2NFYtwdKug4T6Idt2TYqgAIh/zX/l3Q7lAMntYJV5H 2ftccPgNi8QUGLN1xDCmyf/75901K1euFMXEeidxy8O0rZ22oNVZEDIxY1oN Y22JMJv1prb1c8G7VJAUjomMZ1z1pAOZDSIjcrBnXathYoJxMkZl27Zt0yU3 b0Ed6K2qAP9J05tfIXHU7oil/fv3o9pILKb2bY8yhc/9e0aJCME5btmyJeQQ FwXi4uKQbVA+7WqYRn0N8Uz3KzHOT9NkflMQvsgIgL1792L4hNmx1Zujwglp JHm6OK99O7GA7g8irWGmL9max44dw1fQPVFt05mI58iLbJV4HWVvI+KhD3q1 lAsctaCNfRAyMeMUd816s9s6Ew63qsgyb71LL9JIc7HSRveDBZGJrwI7MTHR +LZP8QMTMTEx6VKr8FEmMoZAmErohjeQVPyYkYtZxq0N23okc6uKHGm2Ln6v rUWLFva/OBAh+Cqw6e2+vXv3HjduXGxsLL0rVVz4vXktSZnI9LgQtBo+fDjU mzlzJpQUC36076JhCLb1SOZWFTnSbF0spXP0Y0a3ML4KbPHSfh3wKdOnom4W FNu6KTB6NXccbi7Y1iOZW1XkJUuWdO/e/YsvvjA+pJDupIXmmAN2D2J8MUJk 4qvAjouLw3CrR48enTp1+uSTT7p06TJkyBCMPH045nSEMpGTk5NjYmIGDx78 2WeftWnTBsOh3r17jx49Wvuby4wWtvVIhkVWD2uuABZZASyyb2Fbj2RYZPWw 5gpgkRXAIvsWtvVIhkVWD2uuABZZASyyb2Fbj2RYZPWw5gpgkRXAIvsWtvVI hkVWD2uuABZZASyyb2Fbj2RYZPWw5gpgkRXAIvsWtvVIhkVWD2uuABZZASyy b/kfwzAMwzAMwzAMwzA+Jr2vHPwLqlIqk5awyOphzRXAIiuARfYtbOuRDIus HtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2 HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuA RfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZc ASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2Hsmw yOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYt kWnr169fP3r06N9//51G+7ciJSXl9OnTkoWvXbt28eLFNK2PU5FRpaSkpBs3 bsgUTi+RHZGcnHzlyhWVR3QR2OfPn0+jytyq3CyOk3YtqyCwbwqRkazgJi6+ iMR16dIlDwurzIeubb1Pnz7/DVKlSpVTp06li63v27fvZVtGjRqlLY84Hzly ZIkSJe68885AIHDbbbflz5//o48+SkxMlJRr7dq19kcE7733niiPoFq2bFmL Fi3KlClz7733BoJkyZIFus2cORMNbTwErLxz587ly5fPnDlzhgwZSpYs2ahR o927d9tXDAfCocuWLbthwwbJc0mV65gYh0yYMKFatWoPP/zwHXfcgfpnzJix YMGCnTp1OnjwoLF8+CKbcuzYsddffx3nOGDAAN1HTZo0CdkoP//8s6gelG/Y sCGEzZo1K2p4++2349Tef//9/fv36/bstLllkE+Gy5cvr1u3LqRGJXPmzPnK K698/fXXjo4VsYQU2WnLOk019si3bI8ePWwOitwrPMtRYHuC5yJrcZfQtF8f M2ZMhQoV7rnnHkiRJ0+eSpUqLVmyxP5bO3bs6N+/f7169YoUKYLEhS8+/fTT YRZOo3xojztbx1DwvvvuC/xDdHR0utj65s2bA7a0bNlSFMY+S5cuLT4ihyIg OMxXRq6YmBj7I4IHH3xQlE9ISLAp2bx5c93+MReGoRtL5s6de+PGjTIV+/HH H2VOhJARuVatWlb1z5Ur1/bt27WFPRHZyIULF5566inaz7vvvqv7tHjx4iEb ZeLEiVR49uzZVmVQwwULFmj37LS5ZZC09cmTJ2P4ZDzcxx9/fO3aNUdHjEBC iuy0ZR2lGnsctewbb7xhf9w///yTSjoKbE/wXGTT7zpKaAQ0ef75500Ph0GO 1bfQLnfffbeuPCw4nMJplA9D4s7Wde1VtWrV9LX1F198sYkZ06dPF4Xr1KlD hdEBV69effXq1S1btvTu3RuT4kBwzCw6iA1xcXGmByLy5csXMLN1DJvffPPN gQMHLly4cNGiRVFRUXRQEBsbq90/JqS0HbXFR0uXLu3SpQsFQ44cOeBuuvrM mDEDI0b0fRzCRS+Qt3XMLDp27Dhp0iSEIv599tln6XAYhWoLeyKyjuvXr9eo UUMEm9HWe/bsadUimBPRt3S2nilTJsxrMEWaP39+t27dHn/8cSqGGh47dkzs 2WlzyyCjOYZwVB/MMgYNGgQlUf9y5crRxj59+jg6YgQSUmSnLeso1djgtGXJ 1rNly2ZV1b/++otKOgpsT/Bc5NSwExpRu3Zt+i72gxk6UtB3331XoEAB2vj9 99/rymNqjxkWfZo1a9YWLVqMHTsWA6ERI0Y0btw4nMJpkQ9lcGfrlOrvvffe atWqkW3t378/HW09ZJ9C8JM51qtXT/fRmDFjaCfoF+EoefLkSbr2hVgSGxMT E5s1a7Znzx5d4Xnz5tFBERVi45EjRyiYsQft9Xl0UiocHR2t289DDz0U+Dee 23q/fv3QKRCQ2o1XrlwRuQgnThvTSOR27doFNANdo63b0KlTJ/rWpk2baMu6 deswrDp+/LiupOiqOFmZPZs2twwymjdt2jQQHM+vXbtWbExOTi5SpAi2P/zw w5LLGyKWcG77mrasfKqxx2nLkq0XLVo05J69Cmx5PBc5NeyEBjCeoS82aNBA uz0pKYmuMOfNm/fMmTPaj8SFjgoVKoS8YSFfWIHpWOHC1g8fPnzXXXehSo0a NZo2bRpVD1NRP9u6GCR/9tlnVjsx3rR1BAwaO8mQIQPGYyELX758mQ5avXp1 sRGjONr4xx9/aAujp2Nsj+0VK1bU7Wfw4MGfBXnnnXfSyNatwEHpiBiT05a0 EHnkyJH0RQyJqcvL2/rBgwcxecFXMHoPWTg+Pp4O1L59e5mdO2puLSE1Rzag G4I1atTQfSTUWL58uaODRhrhBLZpy3pi6y5aVt7WrXAa2PJ4LnJq2AkN4DTp i8aVP8gh9NH48ePFRmRXuk4Ou8f4yn7njgorMB0rXNj6iBEjqEo//fQThkC0 EqxMmTJ+tvULFy5Qhi9WrJhuefmUKVNoJ+7WZggZaWBWv359mfLr16+ng3bv 3l1srFq1KrZkz57duJQO471A8KqI6So7sHLlSsW2TrXFAE+s7fRc5EWLFtHl C0y6U/8ZycvbesOGDUm0Xbt2hSy8fft2qmHnzp1DFnba3Lrv2msuYmPIkCG6 j3bs2EEf9ejRw+lxIwrXgW3Vsp7YuouWDd/WHQW2IzwXWYu7hAYqV64cCN6y NH506NAh2icmpGLjnDlzaKPx4rwRR4XT2nRscGHrFSpUQH2QY1NSUvAnJKIa btq0Kb1sfcyYMWiyI0eO6K4Va6H7BaBUqVIJCQm0EWo/99xz2PjAAw+Ec2GT 7kpkzJgx5DUcDIRiY2MffvjhQPD+Gv4UHz355JPYiPoYv9W3b1+qvLjirUOZ rWNcAdlbt25Nh+vdu7f2Uw9FxiwjW7ZsgeBcm77lyNbxdcwFAsGVSDLlx40b RzXXjuStkG9uIyE1FzdoTFfU0Hpa42JLRotrx7FqWUepxgoXLUu2XqhQoePH jx84cODo0aNOF0w6CmxHeC6yFte2TovlsmbNakw1yF20WLFKlSpiY+PGjWnw f/78eUzwMVfFpP7bb79FBYxSOyqcmsamY4NTW9+2bRvVs0OHDrQFp6bbot7W BbfddlvevHk/+eQT4xNhhw8fLlu2rCj58ssvT548uVKlSvh/gQIFnF5K1bJu 3TraZ6tWrWyKDRw4sHTp0vQoBFVg69at2gL58+fHdkSC8bvi9rqIDR0KbP3Y sWMYCefMmZMOhIEoPF0Xll6JjPSFmMe3sDcx0HVk66+88gpVElUKWfjSpUuP PvoolT916pR9YcnmtiKk5iIPm47kSX8kRheHjhzcOY5NyzpKNVa4aFnjSngY 0zPPPIPpnsxj6Y4C2ymei6zFta23adOGvgirMn4qsorYAoun1qT/aMFoKiYm Rvt1R4VT09J07HFq6927d6cabty4kbZgzv7ggw8Ggmsaaf6ejrYuQBhrF6UQ 2O3999+vK5k5c2bT56/locsXWbJkOXHihE0xcbeItBoxYoS2Y8IfrdZXAAwI 6Yvi+WsdCmwdJbW6oZ6mYRm+yBcuXChTpgxFvlZSeVtfunQpHbdjx44yR8SM nsq3a9cuZGHJ5rYipOZiicWOHTuMn5II5cuXd3HoyMGd49i0rNNUY4qLlrV5 wK1GjRpWt+QEjgLbKZ6LrMW1rYvr25gg65bGbdq0iVbNaRcpPfbYY0JSTMOR c0qWLElLIALBu//aZwMdFSbSyHTscWrrjzzyCGr1xBNPaDeKVQqLFy9Waesn T57s378/lMQYA4XXr18fHR0tnr3KlSsXJn2iMP5PH6Fphg0bhpYVIhcrVkys lHaKuNvStWtX+5KzZ8/+/PPPmzZtikigr+A/Z8+epU+vXr1KE3lT28IYj76S jraenJyMQR3aunbt2vSABgJ7zJgx2jLhi4xMRakse/bsuvG2pK1jgES3M7AH mXf6IYSohqVLlw75Dij55rYipObdunWjQ5hOA+n2Ddu6PS4cx75lHaUaK1y0 7PTp0zGkX716NfrC1q1bly1bBoMWPtKlSxebwzkKbBd4LrIW17aORIpJMX0X GaBhw4ZRUVEffPABPEvkorfffluUp8fPMc8aP368eFrw0qVLX331FRXGCEQ8 huaocGqamU5IHNm6kLp58+ZbNCD2aPt7772n0tatQDWoPhi50RbskC5xP/74 4+JiFPbfoEEDMlPMlFetWuX0QAihokWLUr9OSUmR/+Lo0aOphtrFG9gJttSs WdNYXiyUtXopjeIlc0lJSSVKlAgEH9UROcoTkTHxoROJjY09829o57Vq1aI/ raYqYrjet2/fkCeCvkaFCxUqFDIzu25uLSE1/+abb6hK8fHxxk9z586Nj157 7TV3R48QnAa265Y1phobvGpZfJ2eDitSpIhVGUeB7Y40Fdm1rQPMlejmtQ66 Ag8+/fRTUSValGv6sjvxeCymq04Lp6aZ6cjgyNabNWtm1EoLhpFevUg2HFvf tWsX1adt27a0ZciQIbQF015dYXHDq3Llyk4PJB4/NC5tDQldZ9a+mIjeloah prHwgAED6ECHDh0y3Zv6lfDi+VAISFs8EXnNmjX2MSYwvfKJkTO9dyJfvnxi OG2FUBUTpQMHDoQ85XCaWxBSc/Gup19//dX4Kc0XPvzwQ9cViAScBrbrljWm Ghs8bFnMN2lXuuvMhNPAdkeaihyOrRMrVqzo0KHDW2+9VadOHUzYIX5cXBzt U3uNkS6SmOYlNBOVFwuDHRVOI9ORQd7Wk5OTaTppj1cvkg3Hcf7++2+qjLhg i//QFuNKcozB6KIWjMDRUS5cuCBelCT/owACcatdXIf/73//iz8LFy5sLExv sQCXL1823Zt6Wxe32kVC80RkeVtHSePXBw8eTJ+OHDnS5ig3btwQd45KlSol 8wKuMJtbEFJzDOCpYsaHaI4fP04f2V99ZRwFdjgta0w1NnjYsvApKq+7nu8i sF2TpiKHb+tGxMJj7TVPumJfqFAhY/k9e/ZQebEywVHhtDAdSeRtfcaMGVTJ vn37xhtAK9CFBa9eJBuO44g3MIiHQOvXr09bTF/WR5eGMMtzdJSePXvSPsWL SR1BS0eyZs0qLiaL90EZF29TDTFWtNqbelsXy9IGDhxIWzwR+dq1aycsoJUn NWvWpD+NT5Rg5ElvUcDQyGadMLKKGFOhFUznO0bCbG5BSM2R4a0ezRN3u4zj f0aLo8AOp2WNqcYGD1sWvSAQvAWmjXN3ge2aNBXZc1uHGjSueOmll7TbKeve cccdxqyF+T7VQVyQdFQ4LUxHEnlbf/PNNymQYDqmBeiBQa9eJCsTM7NnzzZd CiJ+nUSsSxw6dChtwX90hTGgpZfm6R4tGT16dKMgq1evNh4CtkK3t4oVK2bz JOnChQv37t1r3I59UgfXPqUu3lahSxHi8g66htWB0sjWk5KSkHCMj+hiUiAe 8RAP4Xouso6QS+bE7a0ffvjBqgy6GA2oQN26dSWXEkk2twwygU2v+smTJ492 nA/N6am9bNmyGX8dgNEi7ziSLSufagirwHbUslu3bjV9oDUuLo6emnnqqafE RneBHQ6ei6xFJqHJZ4+//vpLvJ5dVxgNR9s/+OAD3bfEL0qItRCOCrvIh14h aevihbFvvPGGVRnx9rkBAwaosXX0AnQQmN2qVatOnz59+fJlBPxrr71G1Xjm mWfERBjeSnGVKVMm7RWwxMRE6gu33XbbokWLtDsXvxegW+xNiJm1/Ut9MRbC OKdevXpz5szZvXs3QvrIkSODBw8WP9I6a9YsbXlahwbHx5j27NmzGIqvWbOG BpnYaLyxjiRwNoiIt9jYWNoik/lDirxlyxYaUqLOGF1gxHvx4kX6vUU6XJky ZcR8wXORddjbunhVbOnSpW1e8iBeEIFiixcvXmKG8aKZZHPLIBPYaEQ6HIbK SOw4HeSBtm3b0kbjL0owOuQdR7Jl5VMNYRXYjlqWbs6++uqrMTExO3fuxOga kTlq1ChxM1Tbm9wFdjh4LnKqw4RmJTJMfMqUKThZ5Ftk3WnTphUuXJhKmj4+ LKTr0qULLcg5f/58hw4daCP82l1hF/nQKyRtXVg2qmdVBqZD7/B58sknldl6 QIN40wu47777dL8ZKhZIB4IrSDE+gbY0VgHdunXT7dzGcf73z8sPy5UrZ19D usRhWkPQrFkzXXmYeI4cOehTjAfEb//hi+Jatxbxs0RGMDC2r1uqtK1bgcEJ so22vIciG7G3dbEmWaxENeWFF16wOSNixowZ2q/IN7cMMoGNBC7WRAWCT81o m9Vq2SQjkHQc+ZZ1lGpSrQPbUcuKNVfGgwYM76NzEdhh4rnIqQ4TmpXI4iWx WjAt6tWrl+mAH/4rnhlE1s2fPz9dSgWPPPKI7iFZR4Wd5kOvkLT1l156KRC8 RmS/0F0MX7du3arA1vv166f9NVsCIfT+++9rX8oqwDRT/O6YoGjRogsXLjQW FhdVxL0SQYMGDeijFStW2Ndw+fLlderUET/DKsDoce7cuaZf2bZtW6lSpbRd OG/evFOnTjUtXLBgQYtOEChevLh93VIlOiYaonfv3kaREcmYWZjeM/JKZKuT 1f0wE4ExOXUuJDf7ndC6RHt0v5Yr39wySCZD5J+oqCitm2DMjIlbyB+YYFKl RZZvWaepxiaw5Vs2Pj7+nXfeESYigPcZs4eLwA4Tz0VOdZjQrETW2XqePHmq Vq1q9cYP4vDhw9WrV9c1bvv27U2fpnFU2FE+9Ar5e+uKkb/CA3PZvHnz/Pnz Z86cCU+0WisuQKMgwCZNmoRp3b59+0K+qSl8MERPTExctWrVtGnTfvnlF5nH SM+ePYshATpvmk7N5EVGfZBkIPKsWbMSEhJC3rlTL/LNgrzmqUEL2LlzZ0xM zPr16xXcLb1lcCSyPE5TjQ3yLXvlypU9e/asXLmSsoe7dxumBWkkcvgg22za tAnJE8nH0TP7Z86cgQvPmDEjLi4u5HJ9R4UV58NbwNYZ17DI6mHNFcAiK4BF 9i1s65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwB LLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwBLLICWGTfwrYeybDI 6mHNFcAiK4BF9i1s65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s 65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwBLLIC WGTf8j+GYRiGYRiGYRiGYXxMel93/xdUpfS+mHGLwyKrhzVXAIusABbZt7Ct RzIssnpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApg kX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVX AIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIs snpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L 23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVXAIus ABbZt7Cth8O1a9eSkpJu3LghWT45OfnKlSuShVNSUk6fPu22alI4Ffny5ctn zpwJ/7gXL16U1+EWw6nmTmPMW3Dcv/76K2QxRw3qw8BOU5G9Ot+06zXuTv+m SNFOcSSyb/OYI1tv1qzZfzVUqlSpSpUq1atXb9Gixbx58+BZ6W7rx44de/31 119++eUBAwZot69du/blULz33nsyh0APnTBhQrVq1R5++OE77rgjEAhkzJix YMGCnTp1OnjwoK4wGn3mzJkNGzYsWbJk1qxZUfj222/HF99///39+/frCqNb LVu2DGKWKVPm3nvvDQTJkiULpMZOrl+/7vr0rZAR+dChQ0OGDHnxxRcfeOCB DBkyoErZs2f/v//7v+joaJkqaTlw4ED9+vWLFCly2223QbQSJUq0bt3aOE5w 0Vg9evSwKYwoRUTZVGzYsGFUEgLaFEMDoUzZsmU3bNjg6MS1yGguH2MeBrYA SX7q1Klt2rSpWLFitmzZcPRMmTLFxsYaS0o2qKPA9uSM0lfk8DuyFkmRdcyY MQOB2rhx4/BP3wqnKdpR9wlZuEmTJiEb5eeff5asmyOR3bWIJ9lDEke2/uST TwasQQzjfNPR1i9cuPDUU09RZd59913tRzExMTY1Jx588EGZo9SqVctqD7ly 5dq+fbu28OzZs60K33nnnQsWLNAWTkhIsKle8+bNXZ++FTIiP/7441ZVev75 5+UHq99++y0ym3EnefPm/e2337QlXTTWG2+8YV/+zz//tKrYtGnT0D2p2O7d u21OQVTsxx9/lDxrIzKay8eYh4FNnDx5Eu5j3Mm4ceN0JeUb1FFge3JG6Sty mB1Zi7zIWs6fPw/7QLFnnnkm/NO3wmmKdtR9QhYuXrx4yEaZOHGiTMUcieyu RZyefpi4sHU0ersgGM9jNIjxnjhNzOnSy9YxBq5Ro4YQWedrcXFxTazJly9f wKGtY1jbsWPHSZMmYViOf5999lk6LkZu2sJk65jsYML+9ddfz58/v1u3bsIo c+bMqZ0eUjbAdP7NN98cOHDgwoULFy1aFBUVlTlzZipvOmOSOX0r5G29VKlS qDkc8Lvvvqtbty5N4kCXLl1kDoQBKs0IcuTIAR02bdq0evXqjz/+mPy0WLFi 2uGBi8YiW0etrL5ldSUZE7G77rpL6GZq65j49O/fH4dA04TfMeUdRybGPAxs gHb5z3/+Q0cpX758r169Zs2ahdNv27at7pQdNaijwPbkjNJX5HA6smuRwd69 e0eOHInGwgScDhTS1iXzmCmSKdpR95Ev3LNnT6sWQYKi78rYuiORnbaI09P3 Che2/sQTT+i279mzh7IBZqCYFqWLrWOYgQqQ5vK+lhqcntDlcSgvU75fv36w tqtXr2o3ojXLlStHh8YOxfZ169ahOx8/fly3E4zYqTB2JTYmJiY2a9YMYuoK z5s3jwq3aNHCqlbuTl9G5Pbt22M0orvvhgRCzl6oUCGZA1HkZMyYcceOHdrt PXr0oAp/+eWXMvuxaiyy9aJFi8rsRICzuO+++wIaTG39oYceCvybtLZ1RzFm hdPARhOja6M8xjkjRoywv9PqqEHDCWx3Z5S+Int1vk57DSaSukC1sfXwT18y RTvqPp70tU6dOtF3YbshCzsS2UUe8zZ7SOKJrYO33nqL6rxr1y71to4xKh19 7NixJKO8raOLoXyGDBm2bNniVsX/z2effUZ1wNg+ZOH4+HgqDNMMWfjy5ctU uHr16qYFXJ++uwUMRM2aNemgKSkp9iXPnDlDo9lGjRrpPrp06RLNLDAslDmo VWO5sPXk5OTHHnssEBxjDx06lM7F1NYHDx78WZB33nkn/I4ZjuaOYsxpYIsb Rn379rUv6VWDhgxsHfJn5E+RHZ2vC5H/+OOPz/7hgQceCNjauhXypy8psqPu E35fO3jwYKZMmfDF2rVrhyzsSGR3Ye9t9pDEK1uvVKkSPnrkkUc88XRHtr5o 0SK6voFBWuo/oyN5X6MZbv369cPSMTW1atWqgeBM5++//w5ZePv27dTEnTt3 Dll4/fr1VLh79+7GT8M8fdfZj650Ic4vXrxoX3L58uVU/2HDhhk//fDDD+nT kAt1bBrLqa0jwb7wwgv4Sp48efbv3y+mOfb31leuXJm+ti4fY04DG3Pz0qVL k4a6GZwRrxrUPrB1ODojf4rs6HzDFPnFF190Z+uOTt+RyI66j+u+1rBhw0Dw DggmmCELOxI5zBbxJHtIEr6tYwwzZMgQqnDPnj0V2zqmvXQ1GGMzumzoyNfo BlPGjBmN69IluX79+ubNm1u3bk0K9O7dW+Zb48aNo/Ljx4+3KZaUlBQbG0vj QBgQ/tQVCPP0XWe/a9eu0YFkJmUrVqygkx00aJDxUyhGn65bt85+PzaNRbZe qFCh48ePHzhw4OjRo6ihza6o7999993ItKmaq5f+tHUXMeY0sKEY7TwqKgr5 fOPGjdOmTRs7duyCBQsOHTqkKxx+g4YM7DDPyG8iuzjfMEV2ausuTt+Hto58 SE/rfPzxxzLlHYkcZov43NazZMlSJUjlypXLlSuXO3duqm2vXr288nRJW0cu omtNZcuWFXNGeV+D/lTzVq1auZDu2LFjUCBnzpy0k0yZMqFlZZ79vHTp0qOP PkpfOXXqlGmZgQMHYvYkVmi//PLLW7du1ZUJ8/RTw7D1SZMmUcVkbiJg4EeF 69SpY/x0woQJ9OnixYttdmLfWMaV8Ei2yGlTpkwxLmJBoAaC1xnEyiXf2rq7 GHMR2OIriCXRowlMSBs0aKB1onAaVCawwz8j/4js7nxTw+418rbuOo/50NZf eeUVOoXDhw/LlHckcpgt4nNbtyJ79uxI8jh3NbZ+4cKFMmXK4LgFChQ4ceKE 2C7vaxUqVAgERynarzuSTnv69erVk7yJiZEkfaVdu3ZWZcSNmEBwke2IESN0 9hT+6ae6tfWdO3fSJQL8K9l9ihQpQueC4NduP3/+/CeffEIfLV++3GYP9o1l 84BbjRo1tE8KT506lbb3799fbPStrbuLMReBjbm5ri+XLFmyUKFCYkvFihUx HBXlXTdoyMD25Iz8I7K78yXC6TXytu46j/nN1pcuXUpf6dixo3ytHIkcTov4 3NZz5crV/h/atGnz0UcfvfTSS+IpIWRRBbaORE2ZHPln27Zt2o8kfW3OnDlU 4a5du7qTLjk5uXv37hChdu3a9OjK7bffPmbMGPtvwU3ouBjD29y9mj179uef f960aVNkVyqP/5w9e5Y+Df/0CRe2fvTo0cKFC1OVpk+fLvmtZcuWiVX6SDUI m7Zt21avXl08KBcILra0+nrIxkJNYM2rV6+GGpgN4XAYMt1zzz30LfEU3po1 ayhQddfofGvrLmLMXWCLsGzYsGF8fLzYvmPHDho9BoLX58V21w1qH9henZF/ RHZxvoJweo28rbvLY6k+s/UbN26QPSElOnqnnyORw2kRn9u66ZK57du3P/LI I1TtBQsWpLWtr127lo4VGxt75t/kz58f22vVqkV/mr7T6erVq0WLFg0Ehygh F3LLkJSUVKJEiUDwET8baxg2bBhVG/Mg+KPkzkePHk3fEiswwzx9gdOOiYkJ rR4H/fr1k/8iiI6OpkeBtCCBZMyYMRC8JG41yHHdWLAnOiLG2LSlcuXK+PPp p58+deqUVrSvv/6a6rNhwwb8afWQe/oumZOJMddaffHFF3Rq+/bt032EQM2R I0cgeH1eu911gwqMge3VGflTZJnz1eFaZHdL5iTzGOErW58yZQqVD/kchxFH IrtukZvR1sGsWbOo2p06dUprW8e0KyAHHND4dYxF6dMhQ4Z4peT8+fNpn8b3 cREDBgygAg8//PCBAwcc7ZxmTLBs+jPM0xc46pgHDx6kbBYIro10VH8Co2gI 3rhx4xo1amC+jBkiTITWHeXLl8/qW+E01ttvv03fpVc7vvTSSzKiwf1N95bu K+FDxphrrSZPnmwTMC+//HIgeMtSt0jeXYNq0QW2V2fkT5FTJc7XiDuRXa+E D3n6Av/Y+qVLlwoUKECCyPyEgRFHIrtrkZvU1v/44w+q9gcffOAfW0dJ3Xcv XLggXgylvV0YvpJ0xLZt2+o+unHjRvv27enTUqVK2b943BRxh44u34Vz+ro6 S3bM7du30/I8DEcxt3VafyuuXLmSN29e7Pa1114zLRBmY0VFRZEONPWQtHUU M91butu6TYylhqfVr7/+SnvWvh9J8O6779KnIXNmyAbVoQtsHa7PyJ8ip4Y6 X0lkRHZt6/anryvpE1sfPHgwFR45cqR8fexxFMkyhW9SWxfDPE+WxNvHzLVr 105YcP/996MONWvWpD+NDzphpkn1lHxjsCRiwcbAgQO129H3RV+uUKGCu19A o/U5WbNmpYvq4Zy+FsmO+csvv9AvVmTMmHHKlCku6m9Fv3797IcfYTYWvTPn zjvvpHVKKSkppqKJJzQxV8WfVldW093WrWKMCEerkydP2iTz559/PiD3EtqQ DapDF9g6XJ+RP0VODXW+ksiI7NrW7U9fi09sPTk5mbJT4cKFPfw9NUeRLFP4 ZrT1o0eP0ussqNppbes22K8ZQ9KmOyPFihWzt7zRo0c3CrJ69WqxMSkpafr0 6cb3dWA+XqVKFTr9ZcuWie1//vkndWRQt25d+7uNCxcu3Lt3r3E7KkAPYz73 3HM2Xyc8XzIXHR0NWwwEX4Nsv1g9NfiwDInWoUOHkEdHnN99993Yc6VKlUwL SDbW1q1bExISjNvj4uJofctTTz1lXxNfLZlzGmNEmIEN6HeC7rrrLl31oC29 76hGjRr2p2bVoO4CW/6MjKSvyE7P16pFTAnZawh7W3d3+jp8YuviVbE//PCD TbG0ENlRYZ/besGCBRcEwfQcSo4cObJZs2bi3dqvvfYaJju+tXXxMvbZs2fb 76d27dpUUrsodMuWLYHgM2WDBw/+9ddfMfW+ePEi/W4jFS5Tpox2xFitWjXa jjHP4sWLl5gh3r385ptvIn/Wq1dvzpw58BfkjSNHjuBA4rcdZ82aFebp6wgp 8u+//x74h6FDh5rWHzqI8nBYKmy8x7RixYqNGzdeunQJokGxVq1a0cO82bJl w1FMjy7ZWDTXfvXVV2NiYnbu3IlkBUlHjRqVK1cu+vqiRYvsdbC39QsXLpwN gpinYrGxsbQFH9nv2UhIzZ3GGBFmYKcG34FGLVK0aFHxW1SYfdBDPRja6cZO 8g3qLrDlz8hI+ors9HytWiTVYa9B5J/9h/LlyweCA1qxRTsOcXf6OiRTtKPu 47SviVfFIsHaP2vvlchO85i32UMSF7ZuA4YrmK+F7+lpZOv/++dlj+XKlQu5 HxtbtwLdFrai3Qm9odSeGTNmUGFkA+128QoLAmOnME/fVBB7kX/55ZeQ9cfM RZS3sXXxckUtJUqUsHoeRL6xxCV0U91kfgfT3tZpNU7Ic5dE0nGsMMZYqheB TdAbzomcOXOKJwQh6fDhw3WF5RvURWA7OiPTr6ejyE7P16ZFHPUa8ZIoU0Se cXf6RiRTtKPu47Svvffee/Sp/cusUr0T2Wke8zZ7SOLI1sXPeWvJnTs3Rko1 atSAsJ4Yepi2XrBgQdSqQYMGxo+wkeqMEVfI/Yhf99OuCEXFevfuLW43CDJk yNC4cWPjj3qb/nS1DvGus+XLl9epU0f8eqOgcOHCc+fODf/0jYQUedWqVSHr r/0NR/Gue+NaX213yJgx4xNPPNG2bVub8ap8Y8XHx7/zzjvCgwToUJK6RUdH 01dMr52SpKYUL15cZv9aQmruNMZSvQhsAaxBXOUgkHxM7xjKN6iLwHZ0RkbS V2Sn52vTIo56jQhjU2JiYsI5fSOSKdpR93FUGINwuqmB2VPIanglstM85m32 kMSRravEta2r4ezZs3CT+fPnz5o1KyEhQebnXSS5evVqYmIi/HTatGmYLMs/ 3u4ClSKfOnXqp59+whhm06ZNHj6AILhy5cqePXtWrlxJurl7c6AC5DVPuxiz 5/r160iYMKAlS5bYhJ/TBvVnYPu8I6d1rwnn9H2eouVxJHJat4gnsK1HMiyy elhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvb eiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wA Ftm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhz BbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTD IquHNVcAi6wAFtm3/I9hGIZhGIZhGIZhGB+T3tfd/wVVKb0vZtzisMjqYc0V wCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyL rB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/C th7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIr gEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7W XAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7J sMjqYc0VwCIrgEX2LeHbenJy8tmzZ7319HNpbOvXrl1LSkq6ceOGVzvErv76 66+QxaDVlStXJPeZkpJy+vRp+QpANMnCAhcinz9/3ulRGC1qkqFkQDqKMRsc Bbbg77//vnTpkn0Zd13VqcjXr18/evQo6iNT2PPs4R8kw4a4tW1dMjgvXrwo uUOVYePO1g8fPtyjR49atWoVK1bsjiAFChSoWLFi79699+3bp8bW165d+3Io 3nvvPVEe6WvChAnVqlV7+OGHUeFAIJAxY8aCBQt26tTp4MGDLqRDM02dOrVN mzY48WzZsmGHmTJlio2N1ZZBrps5c2bDhg1LliyZNWtWlLn99ttRgffff3// /v26HaLFly1b1qJFizJlytx7772BIFmyZPnvf/+LnSDzGOuAr4wZM6ZChQr3 3HMPCufJk6dSpUpLliyRPAX5jrl8+fK6detCLhwlZ86cr7zyytdffy15FEaL 02SIJkYkly1bdsOGDfYlZQLSRYyZ4iiwtezYsaN///716tUrUqTIbbfdhi8+ /fTTujLhd1VJkXEWI0eOLFGixJ133omjoD758+f/6KOPEhMTPa8SgfRon7JG jRpl9d0ZM2YgDBo3bix/uGHDhtFujx07ZlVGJmxM8TySHYnTpEmTkPn/559/ lq9eqlxwAlh5586dy5cvnzlz5gwZMqALNGrUaPfu3caSnpuOJC5sfdq0afff f3/AAvTumjVrKrD1mJgYqzoIHnzwQVEegxCrYrly5dq+fbsj3U6ePIlMaNzV uHHjtMVmz55tdVBkkgULFmgLJyQk2JxL8+bNdXX4888/n3/+edPCyK4yZyHZ MSdPnoxoNB7l448/Rk6QORAjcJoMRZz/+OOPNsUkA9JpjFnhKLAFCKS7775b Vx5OqisWfleVERlJpnTp0mLPlHXFKWDw422ViM2bN9voD1q2bGn6xfPnz8MQ UeCZZ56RPBYSNXkTMDWdVOmwMcXzSHYkTvHixe0Lg4kTJ8pXTzI4MeOGoRuP lTt37o0bN+oKe2s68ji19Y4dO4qKValSpVevXhhDYhAFwcuVK0fbIY4CW4+L i2tiTb58+QJmto6REk5h0qRJ6Lb499lnn6U6Y8QuL9qmTZv+85//0BfRxBBh 1qxZ0KFt27a6iKXsh9Ev5jWY3s6fP79bt26PP/44fRfTXu0omlIuxkVvvvnm wIEDFy5cuGjRoqioKIwJqbxuCF27dm3a/sYbb2CGvmXLlu+++65AgQK08fvv vw95IjIdE7FKO8yTJ8+gQYNWr16NziLauk+fPvK6ManSyRDhhIkDWhbxQFLb 2Lp8QDqNMSscBXZqcKaGMQN9itl9ixYtxo4dC/cfMWKEcfoZfleVEblOnTq0 Q+QuRPXVq1fRg3r37k1S4BQwbPawSoRwrhdffNE0cU2fPl1bfu/evSNHjkQ7 YrpHX5S09bVr1951110iV5vaunzYmOJ5JDsSp2fPnlbJv27durQfSVt3FJyv v/46lUT8oLMsXbq0S5cuNCbMkSPHhQsXtIU9NB1HOLL1devWUdNkz54dihkL 4DRhK2ps3QYMQenCIGJJbOzXrx9cD51XW/LKlSvCofAtmZ0jBp544gmUR69B u9vfK4FiyJnHjx/XbRdRhCqJjYmJic2aNduzZ4+u8Lx586gw4k1sRCKljQ0a NNAWxmDyvvvuw/a8efOeOXPG/lxkRG7atGkgOH9BohAbk5OTixQpgu3INrfk Tca0QzKwH3roocC/sUqGjgLSUYzZ4CiwUzWz+woVKthfpU/1oquGFPmvv/6i VFyvXj3dR2PGjKGjoM4eVokQzqWzbyu+/fZbXRjI2DoGA5QEbGzdUdiY4nkk OxXHik6dOtF+MG6RKS8fnEeOHCEHhLNo71hhZEt7iI6O1pb3KmycIm/rKSkp ojI//PCDVTHUc8iQIelr60hNqGSGDBkw/A5Z+LPPPqOTwvRfZuciBvr27euu eiA+Pp520r59+5CFL1++TIWrV68uNuKLtNF4jwZDTfpo/Pjx9nuWyX50175G jRq6jzCJoKMsX7485CkwAsnAHjx48GdB3nnnHftk6ElAmsaYC0wDG5ZBl7sx 1MSA0PXO5btqSJHFNSjsU/eRMJcBAwZ4WCXdziWd648//vjsHx544AEZW4fC jz32GEoWK1Zs6NChVrYefth4Hsme2DryYaZMmbCT2rVry5R3FJy9e/emGqJd dDvJkycPtlesWFHmoE7Dxinytv7zzz9TTVDz8F077Wwd36JxeP369WXKV61a NRAcssqsgxUxULRoUd0YzBHbt28nMTt37hyy8Pr166lw9+7dxcbKlSsHgpd9 jOUPHTpE5Rs1amS/55Aii0NjqKb7aMeOHfRRjx49Qp4CI3Aa2CtXrrRJhl4F pGmMucA0sOfMmUMbZW4M2SDfVUOKfOHCBUr+8D7dYuYpU6ZQbUOuUXRUJSIc 53rxxRdD2jqGZy+88EIgeMsME08x2dfZuidh420kp3pk6w0bNgwEbzPt2rVL pryj4KTmzp49u3Fxab169ei4MutOnYaNU+Rt/ZtvvqHTt5mq+8HW6XZGxowZ 7S+nQHxEUevWremkMAyT2fnRo0epfFRUFFoEY/5p06bRjRiYqXwlx40bR/ux n1AnJSXFxsbSbTX0U/wpPqLFclmzZjVePcOp0Qq3KlWq2FcjpMji2qxuBRFB 64fl11kxqV4nw/AD0ibGXGAa2I0bN6aMd/78eUymfvrpJ9QQjoNTk1ly6aKr yohcrVo12mGpUqUSEhJoIyz+ueeew0ZMjW2uS7vLHqka5xozZgwa6MiRI/Ku KmPrZGp33303xmmpmmv4Olv3JI+lna27EIeIj4/PkCFDILiaV/IrjoLzySef RGFEiHE/ffv2pcrbXFd3HTZOkbf1Vq1aUWUQA7619XXr1lElUVurMseOHcNU N2fOnFQSg3bIK3lrSey/bNmyuXPnDmi44447GjRoIJMVL1269Oijj9KhT506 ZVpm4MCBGE6Lhawvv/zy1q1btQXatGlDH23bts34dbpeh0ra1ySkyCJLm85c SEOMo+yPwmjxNhmGE5AhY8wpVoGN4WUg+PgY/UdLoUKFYmJirHbouqvKiHz4 8GFaWy5Of/LkyZUqVcL/CxQoYHX/LpzskWq22Buy5M2b95NPPrFarC4Iaeu9 evWiHYp1j1a27kkeSztbdyEO8corr1CjoHEla+UoOPPnz4/tGBAa9yNur4sh opYww8Yp8rYuTh8t7ltbr1ChQiD4HO6JEydsTlnbdvXq1ZO5BU9gTKv9bvbs 2UuWLInWF1sqVqwY8iUGGElS4Xbt2lmVEfehAsH1/CNGjNC97kNcKsRcQ7c0 btOmTbRgJuSNnpAii3tJO3bsMH5Ki2HKly9vfxRGi7fJMJyADBljTrEKbLrV S2BaBNNEJWnNRiC4BsbqgTjXXVVSZOQZ47O6mTNntnmmOJzskWr7DBdSvXZV qhF7W586dSrtp3///mKjla17kscU2Lq8OGDp0qVUuGPHjvK1kg9OuLDVMstU jdSmD8uHGTZOkbd1csyMGTOmxTvlPLF1cZeka9euNsWSk5O7d+/evn372rVr 08MsaM0xY8bIHAJdhg7RsGHD+Ph4sR2uV6ZMGfooKipKZg+YKNncWJk9e/bn n3/etGlTxBiVx3+gvChw9epVzC9Er0R9cNwPPviAVrcSb7/9tv3phBS5W7du pmmBoCu3bOuO8DYZhhOQIWPMETaBTY8DY+Qwfvx48RIzuMZXX31FX8E4XPs0 mcB1V5UR+ejRo/SoERL7sGHDYGSi4xQrVsxqEXU42SM1+JAOhIJTbNy4ETVc v359dHS0eOIpV65cqJXVd21sfc2aNfQ4m+7is5Wth5/HUtPA1sMRB55LV8iR DB29OFE+OJFy6dLWu+++a9zP5MmTbWw9zLBxirytwzKo2hhm+NDWoXnRokWp 9VNSUiS/lZSUVKJEiUDwAS6Z6zxffPEFibBv3z7dRwi5HDlyBGwvfSN70Ncx MLYJUR2jR4+mb+mWwCED031AHXQFHnz66af2ew4pslhQoe37Arp899prr0me CJPqdTIMMyAFVjEmiU1go2PSM0HaVz4KxLNIixcvtj+Eo64aUmRkGLqg+vjj j4v7BfhKgwYNKHVjXrZq1SoPq2QPxCEdpkyZYlXGxtZpAe3TTz+NczmjQVwZ 3rBhA/4UtuVJ2Hhu61bIiCOuXjpa2O80OGEu+LNmzZrGwuLJIONLaXR4GDZW yNv6l19+SdWOjY31oa2Lp02Na7btEQ+Ay7xYSQzJTK8I0fQ5U6ZMpis9BgwY QN/FJPfAgQOOKklDaOMrj8CKFSs6dOjw1ltv1alTBwPsmJiYuLg4OlDI0WBI kcWLoX799VfjpzTQ/fDDDx2dS4TjbTIMJyB12MSYPSEDm67qwHqMHyGu6Lsy y4fku2pIkZElaFcQUPeRWE9iWmHXVbJn165dtJ+2bdtalbGx9ZdeeikggTgj T8JGma2HFAeTa3oNV758+eTfaU84Ck56tR30MRYWvUBmzaFXYWOFvK3PmjWL aoLxvN9s/cKFC+K1ciFvCRkVCNmhBKKhdW/bIN599136VBdaN27cEI+ZlypV yub9zFaI26Ay10jFED3kuDGkyJiw0K6MT38cP36cPurSpUvIKjECb5Ohu4A0 xVGMEZKBTTaBibzxoz179tDXbdaZCOS7akiRhTLGdcvwMrq1ipTiYZXs+fvv v2k/phd4ifBtHcWovCdho8zWQ4ozePBgKoAps6M9pzoMTnrRbuHChY2F6bVd 4PLlyyEP6lXY2Oxf0tYTExOzZ88eCK6aW716tU1JT5bKO4qZnj17kkqOXgJM iIUWAwcODFkYScCmOeihM+0ba1ODI0mRMCtUqBDyzW+m0MKGrFmzhnwoEvun EY7owjaEFBnebfXAyPTp0+mkjPMdxgZvk6GLgLRCPsYI+cCmV8/dcccdxhvo K1asoD3ITFvku2pIkevXr0+7Mr2nT7fzMAH0sEr2iNf42LwFwsbWU1JSTpgh LkpgVo4/xd1JT8JGma3bi5OcnEw/WgS3dbHm01FwipcoGlfaU8xg7i9zUK/C xgp5WwfiDhotKTEWOHDgAPpL5syZVdo6wpVeFYtaWT0Gm5SUBBsyXlPCdEM8 16B7NHv06NGNgmAMo93+1FNPBYJvEtBVLyEhgW7TaF/IhlChbAnq1q1r//KB hQsX7t2717gdFSBvNX1eUgtG1+JN17pqmyIjMr05IU+ePNp5DXSjZ0myZcum ew0yY4/nydBRQDqNMate4CiwFyxYQCU/+OAD3Ufi9d1i8YaLrmokpMji9Wv4 j+6jY8eO0fIz8eSmh9lj9uzZplqJ3wSxeiggVe65dR1WS+ZSHYaNKZ5Hsjtx xB3wH374weboVi3iKDjFW5t0Awxx9QMTTLHRk0h2hyNbx2BPPOmZKVOmrl27 olboBdu2bZs2bdqnn35Kz+Upfie8GEFp3+GsY8uWLYHg8Hvw4MFoAswsLl68 SD/tSt8tU6aMbqQnfkhFd4caLUuLajA8++2332jjmjVr6B3pd955p/a5RfHK i9KlSy9evHiJGcIu33zzTXSoevXqzZkzB90QQ5QjR46gwuIHNGfNmqWtCUx8 ypQp+DpKojyaAONVKmn6CIYRGZFjY2NpnxjD49QQk2hxDPJpo6OfiWRSpZMh Bktng4i0g4agLbpxlKOAdBpjVr3AUWBry3fp0oUu7Z4/f75Dhw60EflTlHTR VV2IjLENzQWQx7Q3mBITE2m4AkkXLVrkukpWumEYjBEykv+qVatOnz59+fLl uLi41157jQrDsnWXSmAKZ/+BfjgMdiy2hHyZj42tOwobUzyPZKfipGpeFYs4 tH8M3KpFUp0EJ6DVbhgDT5w4EaeAdododIEUG7U31j2JZHc4snWA8MAoLmDL Aw88oMzW//fPq2LLlStnU4wUtgI5befOnbqv2IQBvXOewEhGPOSIbjJ8+HBt SXqRoz0zZsygwki52u3iPSFEs2bNdNUQL4nVgtDq1auX5IsOZERGYnn77bfF /rNkySL+X6xYMUfv1mNSpZOh+CU+I5BdV1g+IJ3GmFUvcBTYqUEbFbXCuCJ/ /vx0cQA88sgj2ieSXHRVdyKLtdMAXvbGG2/A0MWvnnXr1i2cKtnYupX+9913 n/GXOidNmiSpsCk2tp7qJGxM8TySnYqTqlkkH/JJCpt8Lh+cqcGRDz0pQIXF b7mitror6p5Esjuc2jqB4daTTz5JwyQBBniY0I0ePfrUqVPKbL1BgwZ09BUr VtgUww579+6t/XllAs2H+abp/TVxBcb0rh+6Gz3soA1RtLiumOlvGesQr4Ra vnx5nTp1xE9kCjAHnzt3rrEOOlvHQLdq1aqmT01aISkyBglRUVHaTpcxY8ZX X301nJ/tiFgkNS9YsKBVwBQvXtxYXjIgncaYVS9wFNjE4cOHq1evri2AAXn7 9u1167JcdFUjkiJj6iR+vkqA2evChQvDrJKVbv369TPuBzq8//77pi92i46O tlHY5gV9uq+b3nlJlQ4bUzyPZKfiYKxC/otBZshq2OdzyeAktm3bVqpUKe2o I2/evFOnTtUV8ySS3eHO1omUlBScILLBnDlz0EE8cXOntu6Us2fPxsfHz58/ f9asWQkJCeG8af/69euIK5z+kiVL5B9CDwlmx4mJiatWrZo2bdovv/xis2dU YNOmTagARqruKuBIZJg7hpfIJOvXr0+jXyiIBNIosFOdBKR8jHnOmTNnkCsw zYyLi7N/aCWcrupIZKR0TApgcOhH+/bts1kx6FX2QErfvHkz9jNz5kykUJm1 02mH6zyWRpGcjuLIB2dqMBgwSIZuIa9Yemg6koRj62lK2mU/RsAiq4c1VwCL rAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6 WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6 JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW 2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMF sMgKYJF9y/8YhmEYhmEYhmEYhvEx6X3d/V9QldL7YsYtDousHtZcASyyAlhk 38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXA IiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIus HtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2 HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuA RfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZc ASyyAlhk3xKZtn7jxg0cwtsd/vXXXx7uUA0uRD5//nwaVSZCcKr5tWvXkpKS EGCeF7bh+vXrR48e/fvvvyXLX7x48cqVK5KFUUmUd1s1KW5Jx0lOTpYXOSUl 5cSJE04P4SiPcfbwLY5svVmzZv/VULVq1TfffLNJkyaDBw/eunWrYltfu3bt y6F47733tF9B0I4ZM6ZChQr33HNPIBDIkydPpUqVlixZ4k46ZKepU6e2adOm YsWK2bJlww4zZcoUGxurK9ajRw+bGlapUsVqgDFjxoyyZcs2btxYvkrHjh17 /fXXsdsBAwbIlJfvmMuXL69bt27BggVxmjlz5nzllVe+/vpr+YoxAhnNT58+ PWHChGrVqj388MN33HEHNM+YMSPE79Sp08GDB8MpbA9cY+TIkSVKlLjzzjux n9tuuy1//vwfffRRYmKiafkDBw7Ur1+/SJEiKImD4outW7c+c+aMaWFYeefO ncuXL585c+YMGTKULFmyUaNGu3fvlqmY54HtInsIkEbwKfrmhg0bZCpjj82p oTlmzpzZsGFDaJU1a1a0yO23345Wfv/99/fv32+6tx07dqCfIrMFgkDqp556 asqUKRinWVVAMo8Z4ezhWxzZ+pNPPhmwBha5aNEiZbYeExNjUxniwQcfFOX/ /PPP559/3rQYuolT3U6ePImBjXFX48aN05V844037CuJihn3j2Et8gY+feaZ ZySrdOHCBXRh2ue7774r8xXJjjl58mQkbWPNP/74Y+QEyeoxhIzmtWrVsoqW XLlybd++3XVhG9DpSpcuLb5LIwQCLr9s2TJd+W+//TZLlizGg+bNm/e3337T FU5KSoKhGwvnzp1748aN9hVLi8B2mj1Mv/vjjz/KVMYG+1ObPXu2Vd3QIgsW LNCVHzt2LHyfCmCgJf4P4KSmXVU+jxnh7OFbXNg6hlsY2mFYjmEk5gilSpUS LYXmmzt3rhpbj4uLa2JNvnz5dB2zdu3aVEn4LGboW7Zs+e677woUKEAbv//+ e3nRNm3a9J///Ie+iGTVq1evWbNmYXLdtm1bY08nW8cw2Kqq2qtee/fuxXQJ +8GYnPYvaesYjdeoUUM0hIe2jqxL+8QUYNCgQatXr544cWK5cuVoY58+fWQO xAjkbR2zm44dO06aNAmWin+fffZZ0hyTYteFbahTpw59pWXLlmjlq1evoo/0 7t0bMz7q9drxJyaq5Ps5cuTAzAs9Al9BooabYGOxYsV0l4sxIaWd4yiYCS5d urRLly5iD3A3q1qlUWA7zR6pwatn/fv3R3cWdhmmrYc8NbJ1zJ2RaSHy/Pnz u3Xr9vjjj1N5tAhm+qIwmoAq9uijj6KH4qOUlBSMQDDbovLdu3fX7d9RHjPC 2cO3uLD1J554Qrd98+bNSAXUUkgC6LMKbN0GDEHpmhX6IG1Bj6DqNWjQQFsS k4j77rsvEJxiWF081HHjxg0ogK/cddddI0aMCHkfk2y9aNGiMjvHDCjwbyRt vV27dgHNDMtDW2/atGkgODtYu3at2JicnFykSBFsx/Aj/Du5EYWM5v369cOY E8aq3QijFPkQEe6usBUYW1Lw1KtXT/fRmDFjaD9wGbGRUgGG8Tt27NAW7tGj BxX+8ssvxcYjR46Q46AvaK8Gw6qocHR0tFXF0i6wrTBmD+Khhx7S9c0wbT3k qa1bty4qKur48eO67c2bN6evoN3FxhYtWtDGnTt3agv//fffNEfAeEC73Wke M8LZw7d4YutE3759Ka6yZ8/+xx9/pKOtU4RnyJAB0w3a0r59e6qb8W7j2LFj 6aPx48fL7FxcGcP5ypR3ZOvQ7bN/eOCBByRtHRN8qhLOhZKPV9kP2Z7WIWBa YXXQ5cuXyxyLIcIJbEQFaY7JpreFxawK39J9hEE7fSRu/mIATLPyRo0a6Qpf unSJTATTQLERU37aA8JbWxgpne4CV6xY0bRWaRfYNhizBzF48GDqmO+88074 tu761EB8fDx9F2lNbKxSpUogePPduByRLpXcfffd2o1O85gRzh6+xUNbB126 dKHGatWqVXrZOr5FA+D69euLjZUrVw4EL/cZyx86dIjqbMxRRpCI6P4jbFo3 P7LCka1refHFF2VsfdGiRTQV6tSpU+o/cwqvst/69etJnCFDhug+wjSNPsIE TeZYDBGO41StWpWmVzJr1B0VvnDhQqZMmQLB6+c6X5gyZQo1tFghhlRMW4YN G2bc1YcffqgbQlNNMNo3LtyqV68emZHxozQNbJsvGrOHjpUrV4Zp6+GcGti+ fTtVoHPnzmJj165daaPx0gdNjatVqya2uMhjRjh7+BZvbf3IkSPUWBiEp5et 063GjBkzaheL0mK5rFmzGq/5IJ/Qig4Md0Pu/OjRo3SCUVFRyJaY40ybNg3j 7QULFmB4YPoVsvVChQodP378wIED2IPkQhEZW8e4nRav1q5dm07N2+w3b948 Ol/jiilA66WbN28ucyyGcBHYCFFMmVu3bk1tgcmvV4W1IO3TV0qVKpWQkEAb YfHPPfccNj7wwAOi76xYsYJKDho0yLgfMTdft24dbaG8gf0YC4tLfLo7BWkd 2FaYZg8dYdp6mKcGxo0bRxXQXmDEoIs2YsCAJrh06RJtF/cftYVd5DEjnD18 i7e2Dh555BFqSoSHeltHJqGjt2rVSru9TZs2tH3btm3Gb9Hl7rJly8rvH4Vz 584d0IBBfoMGDZKSknRfMa6ER9KAWWMSZP8UakhbR98UNRczLG+zn0ggps/y 5MyZEx8hE8ociyEcBfaxY8cqV65MOgeCq6eQsa1uRzoqbOTw4cP08AXx8ssv T548mRZcFShQQHtF+syZM1SmTp06xv1MmDCBPl28eDFtyZ8/f+Dfs0WBuL0u BhKpSgLbFKvsoSMcWw//1ODXjz76KLXvqVOntB+NGDFCrDnHxAqWPWrUKHLP Zs2aabONizxmhLOHb/Hc1t966y1qyt9//129rVeoUAGHzpIli+5VDOJCImYi uqVxmzZtolVzVjf4tGBMq+0C2bNnL1myJGbiYgt2IsbJhM0DbjVq1LB5ntTe 1i9cuFCmTBlKudqT9Tb7iZmXbmWU9ljly5eXORZDOApslNQGTL169XQ3fF0X NgX97v7779dFaebMmY0rUui6LoCJa7efP3/+k08+oY/otinGFVaL8VI1a0R/ /vln2qImsE2xyh46XNu6J6f28ccf09HbtWtn/HTIkCHGPANP1xVzkceMcPbw LZ7besOGDakpf/vtN8W2PmfOHDp0165ddR9dvXoVsw8Rw6gkhrIffPABrQUl 3n777ZCH6N+/PxXGHuLj48V2xC112EDwupb2K9OnT0fuWr169bZt27Zu3bps 2TL0R1pJArp06WJ1LBtbx2CARgs4F931B2+zX7du3aiepq8NocVR3DEd4Siw k5OTu3fv3r59+9q1a9ODZrfffvuYMWPCL2wEE0l6LO6xxx4bNmwYErvoGsWK FcPoV1sYYSyWcCNE27Rp07Zt2+rVq9PlZWLXrl2pwa5H6+tMY3Ly5MlaW1cW 2EZssocOd7buyamJ/FO6dGnjkgm0Nc3NO3Xq1LJly1y5clHhDBkyfPrpp5cv XzbuRz6PGeHs4Vs8t3XxWM2+fftU2jqyR9GiRQPBV3CkpKQYC5w9e5buEuqg a2IAkR/yKF988YU4O91HyIo5cuQIyF3MR1eih2gw67EqY2Pra9eupWrExsae +Td0wbNWrVr0p83VgFSJjvnNN9/QgbR9X0CX71577TWbPTA6XN/2TUpKKlGi RCD4uFDIl7M5KpwanKdT5Dz++OPi0i7q2aBBAzJlmPiqVau0X4mOjqYY1oKB BF0HxreE75C/1KxZ03hcsSKaXkqjLLB1hMweWtzZevinhrEW7QHTamQb3aeD Bw+mT8eOHUtbMN1GGz344IO0Xbt2yJM8xtnDt3hr67BOevEUBu3oHSptXTxd a1x1qWXFihUdOnR466236tSpg+FoTExMXFwcfVFmXiMmF9rHMAV0QSBTpkwy i0vffvtt2pXV8/I2tr5mzRrj+MQU03oKQoosXqj166+/Gj+9++678dGHH35o e6LMv3Bt66ma5U8yLwFzVFhcvEWE6z4Sd0grV66s++j06dP4YuPGjWvUqPHx xx9jDgiboFVn+fLlE8WKFy8eCN6sNx53wIABtHNaqaUssHVIZg/Cna2HeWpC KExyDxw4oPsUCefee++lT3UfJScn0wBPu2dP8hhnD9/ira3PnDmT2rFhw4bh eLpTW79w4YJ4MVTIW0I6xKKdkC+xBIhPKqx9EYTg3XffpU9lfi4BgwoqbDWZ 8sTWUdKmDiFFxgSN9mN8C9/x48fpI5v7CIyRcGxd3D1v27att4VF6BrfXYPc TveMtE5txZUrV/LmzRv49yyMXk9auHBhY3l6XQmgS8TKAluL0+yR1rauO7Ub N26I126UKlVK+2Y5AXIIFTBdWC6GBGLm4kke4+zhWzy0dYSKuLP2yy+/qLT1 nj170nEnTpzo6PQxU6Ye/dJLL8mUR9KjA5mmSnqMzupV0jpq1qwZCF4jtVoP b2Pr165dO2EBLXnCzulP+4fpQoqM3pchQ4ZA8AXOuo+mT59OUhjnd4wN4dj6 0qVLSfOBAwd6W7h+/fpU2PQXCugCdYECBULup1+/fkZvEm9FO3z4sOmexRxT WWBrcZo93Nm6u1PDMEO8/aZChQpWV/b27NlDZVq2bGn8VHTV4cOH0xZP8hhn D9/iia2npKTMmzeP/JFCK0xPd2Tr6Ah0j69YsWKOfjsAY1HxHuzVq1frPh09 enSjILqP6KcZ7rrrLl31EhIS6BUT2lcqbd26VfvkjiAuLo5WHGFvVtWTfB2N Ds9XFtG7RPLkyaOdx2EG8corrwSCd1tsXujNGAmpeVJSEpKe8fonNKc3iQU0 DwI7KkyYBvbQoUOpMP6j2xWmh4j2gMSzSPA7urJaqVIl7XbxWhLdu0fEnBHG ar/n1DRbMucie8jYulX2MMXq1DDEosX5oG7dujavFUJzZ8+enbzYuDZAPJug XffoKI+ZwtnDt7iw9YIFC86dO3fOnDnR0dGDBw9u37699skIJBNEo0pbF3MB 7TurjcDEp0yZguhC5929e/e0adMKFy5MXzR99Eb8NIzunjtyFC0iwkRD/FIV 5ib0yA9m31ofp1uWr776akxMzM6dO5F+UYFRo0aJRaqLFi3S7hwFzv4D/eIV ep/YIpN2PM9+sbGxVFWM4XFq6JLI8xjk00ZHvxvLpEpovmXLlkBwaozOBePD BO3ixYv0Q6KkeZkyZcQVHkeFCdPA3rt3L7lbpkyZtJdMExMTyVkQ87pYXbFi xcaNGzGdxEFxxFatWlG/QK7+/fffdSdFt3cxd8OMGJGMKqHL0EQAG2VegZJG ti6ZPVKD1+qpGy5YsIC+gq5BW4zeZJU9TLE6NfGCoNKlSy9evHiJGcIumzVr RoXR9GJB3fXr18ePH09TZuxEu3NHecwUzh6+xYWtW3HPPfd07twZQR6+p8vb +v/+edljuXLl7EuKl8RqQcD36tXL9JUdNh1T/KpCIPg7SuJpNXQTcZmL0D1G Sv1IYLwRNmnSJBuFZ8yYEVIQz7MfRhpidV8g+FSv+D8mOPLvpGIISVu34t57 79X+loejwoRVYIt3OwSCD2i88cYbMHSap4Nu3brp9iNeEqsF9k3PtemAX9D6 6kBwtTxN6gPBHiFzjyA1bWxdPnsA8WuPRtARdIU9sfUXXnjBpnEJkRMwnBM/ 7pY5c+aKFSu+/vrr9BPngeBPWWGEptu/fB4zhbOHb3Fk6+KngQn0CEQC5rxV q1bFDPTEiROeGLojW2/QoAFVBnMH+5I6W8+TJw+qLV6CYaRu3bpU0nQhMfxX zLhFlBqX8cTHx7/zzjuivwiQIubOnWvcbXR0tE0XxpQ/pCDUkXU/VGeFpMgY 9kRFRWkfSc6YMeOrr76anJwscxRGS0jNEfy9e/fW/vQ5gSEoZje6e9+OChM2 gY1Jt3hAVYDZ3MKFC4370do64uGJJ57ALMzmmuq2bdtKlSqlHdnCa6ZOnWon loa0CGz57CEqYErx4sV1he2zh+mejadm+kvoOjAdFuUhfvfu3emVBQJk6ZYt W1q9NU4yj5nC2cO3OLJ1lchfRpPk+vXrmzZtgpkuXrzY+NSnux3u3r0bO1yy ZIn9Dq9cubJnz56VK1dOmzbtl19+sX+HlUociYzuiakfhhbr16+X+fUQxhR5 zc+ePYth4fz582fNmpWQkGCvuaPC9hw+fBg2h4SPnrJv3z6rx6hPnTr1008/ wVbQreQfP0E9ly9fjl6TpjM1z7PHTcRff/2FSJg5c+aUKVM2bNgQ8jF8+Tym g7OHb4kcW2eMsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjq Yc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzr kQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJY ZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0V wCIrgEX2LWzrkQyLrB7WXAEssgJYZN/yP4ZhGIZhGIZhGIZhfEl6XzNgGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIa59fl/PT5Oiw== "], {{0, 280}, {669, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{334.5, Automatic}, ImageSizeRaw->{669, 280}, PlotRange->{{0, 669}, {0, 280}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.778697605273017*^9, {3.778697655548964*^9, 3.7786976974371233`*^9}, 3.7786977575298243`*^9, 3.778697890143016*^9, 3.779622995254202*^9, 3.780051240205167*^9, 3.780052564072847*^9, 3.7800541822660513`*^9}, CellLabel->"Out[3]=", CellID->16233756] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Missing values", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7796236116341543`*^9, 3.77962361421061*^9}, { 3.779623647342004*^9, 3.779623656185218*^9}, {3.7800521301350603`*^9, 3.7800521330935173`*^9}}, CellID->993963984], Cell["\<\ If any of the columns have missing values they are shown in the contingency \ table:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.779623617798897*^9, 3.779623643134766*^9}, { 3.7800518321536093`*^9, 3.780051834481186*^9}, {3.7800519070784187`*^9, 3.7800519160001993`*^9}}, CellID->770350996], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"dataset2", "=", RowBox[{"Dataset", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "1"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "5"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", RowBox[{"Missing", "[", "\"\\"", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "6"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "3"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "4.5"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "1"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "10"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "2"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", "100"}]}], "|>"}], ",", "\[IndentingNewLine]", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", "3"}], ",", RowBox[{"\"\\"", "\[Rule]", "\"\\""}], ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"Missing", "[", "]"}]}]}], "|>"}]}], "}"}], "]"}]}]], "Input",\ TaggingRules->{}, CellChangeTimes->{{3.780051871855804*^9, 3.780051931210992*^9}}, CellLabel->"In[1]:=", CellID->658735914], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXtUVNf1xydGKjG1qDQxJhgfNctHTLVxmUaiRrvENCbGFKsrutJ26Yra aDUElSS2vkKsaCCJrfUdUeqbQA1qHmqWb4IiBFEkGvFBBKQiEkV8Af5256zf XdMZGO6ee+5mM92fPwxz7mXu5977nXPPGbLObj/mjfBxjRwOx5RA+Cd89FsD IiNHvzOsObwYPnnK6+Mnj33t+clTx44fG/n0mHuhcfo9Dsd2+O9/fr4rCLVz UhAEwQJXGcPHkI8JARIPLHxMCJB4YOFjQoDEAwsfEwIkHlj4mBAg8cDCx4QA iQcWPiYESDyw8DEhQOKBhY8JARIPLHxMCJB4YOFjQoDEAwsfEwIkHlj4mBAg 8cDCx4QAiQcWPiYESDyw8DEhQOKBhY8JARIPLHxMCPCbeJSVla1YsWLZsmX7 9u2rXxN/wm/icfny5XFO1qxZU78m/oTEQ7uJPyHx0G7iT0g8tJv4E6h4ZGVl JScnw/AvNjb23XffnT9//pIlSz799NOLFy/SeHrZwTUexcXF27dvB7eZM2eC amJiYlFREZmJwZkzZ1JSUpYvXz537twPP/xw7dq1X3/99ZUrV3SZEICKB1zt cTUxceLE9PR0Ak8vOxjxeOutt6ZMmeJm+Pbbb586dYrG5KpzGrVt27YJEyZ4 XitwA1UtJgT4EI9p06Z99NFH8fHxMJF855131Fm/8cYbBQUFdnt62cGIh2L8 +PFgCx9biK5qmT17No0JkJSUZGjExMSsXLkSetpJkyapxkuXLmkxIQAVj4MH D+bm5ro1rlq1Sp01bLXH8T+YjwfcEYiu8TQ5f/78n//8Z7VJSxdXp8nZs2dV vwEfmSNHjhjt//73v9etW/fHP/7RX+NR2zuoi//JJ5/odXM7isl4rF692m1T amqq2gRJJjBJSEhQh/v88889t2ocBRGAjQeM+mB8BaOsv/71r/BkmTx5stGf r1+/3m5PLzt4mbnAaFB9nOPi4ghM3n//fTgWHLG0tNT64eoXVDwOHz4MHWaN o1PO8QBgvAqbZsyYQWASFRUFx/rLX/5i/Vj1jvl4QKcBj3V1C2bNmgVh2LVr Fzxbv/nmG/7xgOG00iYwUUPQ9957z/qx6h3z8Vi2bJm6/tu3b//hhx+Mdhhx 8Y+Hmr988MEHBCYwRYJjTZ061fqx6h3z8YDzhbOOjIyESb1rO/94fPvtt2oT TBwITBYvXqwO991331k/XP1iPh4RERFqxOX2HelXX33FOR7Q0X300UdqU1pa GoEJ9K7qcAsXLvT8KG3YsKEBfXFqPh4LFixQZ/3hhx/u3bv3+PHjO3bsmD9/ Preh6dtvv/3ZZ5/l5eUVFBQcPXoUZiuqHVRpTGDCYnzTAhctMzPzwoUL8Cv/ +te/oO8d56dfi2VlZRlDU84zlxp58803zUzNtJgAEEvXKb8bfhkPYN++fXCd Xc8UPpIwc1Gx2bRpk92eXnaAz6zSgE+u2+w7Jibm+++/JzNRQI8Bg5DXX3/d 1SQ6Onrnzp1uTxzOoOIBQPKzs7Ph4QJT2vz8fLv1DMwbXnX2JLm5uQcOHDh0 6JD2bylRJpCEM2fOpKennzhxori4WK8JAdh41Bd8DPmYECDxwMLHhACJBxY+ JgRIPLDwMSFA4oGFjwkBEg8sfEwIkHhg4WNCgMQDCx8TAiQeWPiYECDxwMLH hACJBxY+JgScFARBsEx9Fzz0Bh9DPiYESDyw8DEhQOKBhY8JARIPLHxMCJB4 YOFjQoDEAwsfEwIkHlj4mBAg8cDCx4QAiQcWPiYESDyw8DEhQOKBhY8JARIP LHxMCJB4YOFjQoDEAwsfEwIkHlj4mBAg8cDCx4QAn+NRXV0dFhb21FNPHT58 2CY3V/jcFDMmeXl5YV5ZvHgxja1FfI7H5s2bHU6++OILm9xcaVjxyMjIcHhl 4sSJNLYWwcZj06ZNMTExQ4YMuffeeyUetWHEo3///jUuELRx40YaW4tg4/Ho o4+6fRAkHp4Y8WgoMagNbDxiY2OnOxk5ciSfeJw7d26Nk23btnluPXPmjNp6 6NAhu00U/7PxMNizZw+feJSWlrZv3175JCcnu266fv36448/Du2BgYFHjhyx 20Qh8WAVj7vOOwIBAJ/mzZufPXvWaB8zZozyhN6DxuSuSzyWLl2an59/4cKF O3fuaDk6MX4TD2DFihVKCabbt2/fhpaEhATVMmnSJEoTz5nLPffc06pVK9A4 deqULhMC/CkewOjRo5VVZGRkbm7u/fffDz/369dP44fX4sQWurgDBw7okrEb P4tHRUVF9+7dldgDDzwA/4aEhBQXFxObwBFh+r9169b09HTYOS0tbfXq1b17 91ZiwcHBBQUFGpXsw8/iAZw+fTooKEi5NWnSRPuXuj5cK4Pf/e53Smzt2rV6 rWzC/+IBDB8+XLl16tTp5s2b9WjixrfffqvEIiIi9FrZhP/FY/369a7P+vHj x9eXiSc3btxQVqNGjdJrZRN+Fo9jx46p4eizzz47YMAAZahrSosyqZGsrCyl NHv2bI1K9uFP8SgrK3vsscdA6cEHHywsLCwqKoK5JLy87777jh49SmmSnJwM HYVne3h4uLpoMGrV5WMr2HiUl5eXOYETVGeamJioWmCT3Z5edqiurn7ppZfU NwxffvmlatyxYwe8hMaOHTuCIY0J0KxZM4jonDlz9u7de/ny5Vu3bmVmZr7w wgvqij399NNVVVVaZOwGG4+2bdvWNqPv0qWL3Z5edpg7d67SeOedd1zb4aVq Hzp0KESIwOSuMx6uV0ZFVPHTn/40JyfHugYN2Hi0a9eutnh07drVbs/atqam pjZq1Agc+vTp4/YNGLwMDQ1VhosWLbLbRDFv3rwePXq4XZ/GjRv/4Q9/KCkp se5Ahs9jD2L4GJo3uXTpUkZGRkpKyieffHL8+HF4xNjtph2JBxY+JgRIPLDw MSFA4oGFjwkBEg8sfEwIkHhg4WNCgMQDCx8TAiQeWPiYECDxwMLHhACJBxY+ JgRIPLDwMSFA4oGFjwkBEg8sfEwIOCkIgmCZ+u7JvMHHkI8JARIPLHxMCJB4 YOFjQoDEAwsfEwIkHlj4mBAg8cDCx4QAiQcWPiYESDyw8DEhQOKBhY8JARIP LHxMCJB4YOFjQoDEAwsfEwIkHlj4mBAg8cDCx4QAiQcWPiYESDyw+GxSXV19 /fp17T62IvHAgjKprKxct27dG2+80bdvX7UmTGBgYGJioq2GGpF4YDFvUlxc bCx/58ry5cvtltSFxAOLSZMjR4488sgjKg+hoaHvvvtuUlLSpk2bIiIiaBbr 04LEA4sZExhmqLW7mzRpsmjRIi1rmtUL/hEPbuV+kpOTVb8xd+5c60esR/wj HqzK/UBfodad69y5cwMt42LgH/G4y6ncT0FBgTpiVFTUjRs30tPTN2zYsGzZ sq1bt+bn52txIMNv4nGXTbmf1NRUQ0MVDXFdu/LVV19tQGtXmo9HVVXVTQtY XAfYZIA5lPuBvsI1EkFBQd26devQoYPR0rdvX+11ImzCfDwg8yctYPEjYzIe HMr9xMTEKIHf//73WVlZRvuJEyeefPJJ47mjUck+zMfj0qVLVuIBv27d08ye 9V7uZ9asWeroeXl5bptgWAJDI/Xc0WtlE+bjAU/zaxZQgwGLniZ3rt9yPzAG VkevsWZcWFiYmkY1iEmN+XjUL+YN673cz8GDB9WhYWDsuXXUqFFqa4P485yf xYNDuR8Y6qjj1lgRDMbJsKlNmzYalezDn+LBp9xPz5491cjHbc/s7Ox7773X 4aweosvHVvwmHqzK/aSlpanjdu7c+euvv1aN+/fvBw1o/NGPfgQ50SJjN34T D1blfoAJEyYY45+WLVv+5Cc/UT9DbBYuXGhdgwb/iAe3cj+K+Pj44OBg13Fy ly5doA+x7kCGf8SDEpRJVVXVqVOntmzZ8vnnnzeUyteuSDyw8DEhQOKBhY8J ARIPLHxMCJB4YOFjQoDEAwsfEwIkHlj4mBAg8cDCx4QAiQcWPiYESDyw8DEh QOKBhY8JARIPLHxMCJB4YOFjQsBJQRAEy9R3T+YNPoZ8TAiQeGDhY0KAxAML HxMCJB5Y+JgQIPHAwseEAIkHFj4mBEg8sPAxIUDigYWPCQESDyx8TAiQeGDh Y0KAxAMLHxMCJB5Y+JgQIPHAwseEAIkHFj4mBEg8sPAxIcDneFRWVpaUlJAt Js/npvAxIQAVj8uXL69cuXLw4MHt27dv3Lixw+EICAho167dtGnTzp8/T+Bp 6yFM4ptJYWHhiy++GBYWNn/+fPO/NXv27LDaGTRo0NWrV7EmKFDxCA8Pd9RC cHBwTk6O3Z72vb95fDApLy9Xq40Bo0aNMv+LQ4YMqe2CKyyuFlsnPsQDuoup U6fGx8fv2rUL/u3du7dSffzxx+32tO/9zYM1qaqqGjp0qHFDfYhHs2bNxtWC 3atfouIxb968hIQEt9WZbt++/ctf/lKdu97lqT09bXpzFFiTN9980+FcbN/n eHTu3BmvqQctM5fp06erc8/MzNTo5kqdhsnJyWtqR0uhH5MmrvzjH/9QV2bZ smWPPvro/2Y8fv3rX6tlPG/cuKHRzZU6Ddu0aePlGQ39MJmJwfbt29UqpjB0 h5f/a/GAp2pGRsbkyZPVLYiOjrbDUFGn4SuvvNLfA3V3gDlz5pCZKLKyslRl 0mHDhqnpv8/x6NChQ1FR0dmzZwsKCiorK31Xx+NbPGCaNnDgwJYtW6qLHxgY CNmw9TsQHwK8e/du9cR/5plnLC74jzWB+xgSEuJwVl6oqKhQjT7Hw5WAgICn n3567dq1Gs/IC77FA3Z2dR4xYoTGValrOyLKMD8/X9Vzad26NXz0KE1gGqvq trRt2/bixYtGu5Z4GMBsyGIFJTP4Fo/S0tKZM2dGRkZCz9m0aVOwhW586dKl dnua3PnmzZu9evVyOJenPnjwIKUJ3DJ1T4OCgo4fP+66yYd4bNy4cdWqVfv2 7YO3Onbs2K5du2AeZCyw7Lb+sx1YH5qWlJSoUo9wL06dOqVXzwBlaJQXXLJk CbHJgQMH1KETExOv/DcPP/wwtIeHh6uXPn/2YVTz4x//2OFcKN7XkzCLlplL SkqKuib2lf82bwiRUDIQEnqT/fv3e5lAuVJjMSCTwDhcvQnEzOc3MYOWeBhD kRormGjBpGFqaip0YmACDxebyvnpioeVxdWjoqLUm9jXXSu0xGPnzp3KdsGC BRrdXDFjCENQ1YHDoNS+irHeTWDiebEWYJAMbi+//LJ6aWWKCm+inuZ2z1/M xwPGGDBS8qyABvPZQYMGqXjA2MlWTy87wIXq06ePw/n1NUxpbdIwY1IbtQ1N CwsLRzuZMmWKazuMRWss+5KZmakm7D179vRBA4X5eMDU1eGcrMXGxsJ0AJ56 MKOHB6iqnQfAbM6+MNdpOHHiRKUxYcKE7zzQWA1BezwgBsr8oYcecm2Pi4uD xueff37z5s25ubnwwSwuLl68eLFRBGT79u2+n4Y5sPGojRYtWsAp2O1Z29Zr 1655f9Br/KARx8NAlZcyeP31130/B9OYj8fVq1ejo6N79OjhduUbNWo0duxY mv/xoLat5eXlblfPDRip0ph4oV27dmDy6quvurXn5OQoSRg4ubbDBHbkyJHG txwG0IFv2bLF9xPA4MPQtKysDMxhMpuUlAQPR/v+DOeKxcGzRohN4HkND8c9 e/Zs2LABxlSuX8MSoGXmQgAfQz4mBEg8sPAxIUDigYWPCQESDyx8TAiQeGDh Y0KAxAMLHxMCJB5Y+JgQIPHAwseEAIkHFj4mBEg8sPAxIUDigYWPCQESDyx8 TAg4KQiCYJn67sm8wceQjwkBEg8sfEwIkHhg4WNCgMQDCx8TAiQeWPiYECDx wMLHhACJBxY+JgRIPLDwMSFA4oGFjwkBEg8sfEwIkHhg4WNCgMQDCx8TAiQe WPiYECDxwMLHhACJBxY+JgRIPLDYbXLt2jX73hyLz/Gorq4OCwt76qmnDh8+ bJObKw03HiYv1FdffTV8+HC1BkjLli2fe+65v/3tb5ZlreJzPDZv3qxWI/ni iy9scnOl4cbDzIVas2ZNQECA56o1r732GvEi6m5g47Fp06aYmJghQ4YYq9lL PGrE/IVKT09XOzz44IPvv//+vn37Pv74Y6NEznvvvaf7DBBg46EWyHJF4lEj 5i/U+PHjHc5VKF0Xwi0tLe3YsSO0t2/fnqyeoyfYeMTGxk53MnLkSD7xOHfu nCrrs23bNs+tZ86c0Vj0x+S1Mnmhrl+/rlYPGzp0qNsmo1QQDEusa/uGz2OP PXv28IkHfNbgU6Z8kpOTXTfB9VdLvgcGBh45csRuE0+8X6i0tDS1NS4uzm3T iRMn1KbZs2dbMraAf8QDyMjIgACAT/Pmzc+ePWu0G8vvQ+9BY+KG9wv16aef qq01rhisFgCnWaOyRvwmHsCKFSuUEswi1QK8CQkJqmXSpEmUJq54v1DLly9X W2uc9qqCSuHh4b7rWsOf4gGMHj1aWUVGRubm5t5///3wc79+/TzX+rbbxMD7 hYqOjlZb4VHiuVWNb0NDQ33XtYafxaOioqJ79+5KTFWDCgkJ0Vs+VW88ZsyY obbWWFtBDagkHnVi3vD06dNBQUHKrUmTJtq/1NUbj7///e9qa1ZWludWlfAX XnjBd11r+F88gOHDhyu3Tp06aa/qojcexneqNRY1u++++xy21S0yg//FY/36 9Q4Xxo8fX18mCu8Xau/evWrrP//5T7dNRUVFahNBzbja8LN4HDt2TA1Hn332 2QEDBihDXVNalImB9wsFGWjUqJHD+ecVt00bN260wx+FP8WjrKzsscceczj/ eFFYWAhXvlWrVvASumiNdVT1xuPu/9cQB2fXIXR1dfVzzz0H7c2aNSsvL7cq 7SvYeIBqmZOtW7eqs05MTFQttp5FnYZwPV966SWHs+7Jl19+qRp37NihCnl0 7NgRDGlMFOYvFLSrHWACnp2dDScC2Y6IiFCNY8eO1aLtG9h4tG3b1lELXbp0 sdvTyw5z586t8UkNL1X70KFDtfxty+S1Mn+h7ty5Y1SWBNTD0djTvqJ4ZsDG Q/3/KjXStWtXuz1r25qamqqe4H369HH7BgxehoaGKsNFixbZbWKAulCQ26io KHiOGPsEBAQ8//zzpaWl1oWt4PPYgxg+hvaZQEhyc3NhqpuWlkZTRKlOJB5Y +JgQIPHAwseEAIkHFj4mBEg8sPAxIUDigYWPCQESDyx8TAiQeGDhY0KAxAML HxMCJB5Y+JgQIPHAwseEAIkHFj4mBEg8sPAxIeCkIAiCZeq7J/MGH0M+JgRI PLDwMSFA4oGFjwkBEg8sfEwIkHhg4WNCgMQDCx8TAiQeWPiYECDxwMLHhACJ BxY+JgRIPLDwMSFA4oGFjwkBEg8sfEwIkHhg4WNCgMQDCx8TAiQeWPiYEOBz PG7dunXlyhWbrDzhc1PsNkGV+6msrKyoqLBPBhWP/Pz8uLi4/v37h4SEqPU0 goKCevXqtXr16qqqKvsk7zbkeNhR7gci8dZbb4WGhjZt2hRuRLdu3UaPHl3j yqgWQcXj5z//eW1LmvTr10+tU20TDTce2sv9lJSUGAvauPLAAw+kp6f7eFa1 4EM8nnjiiRkzZmzYsCEhIQECb6xpY+v6ig0uHvaV+3nxxRfVpt/+9reJiYk7 d+6EK9+4cWOHs9yA3hXeUPGIjIxMSUlxW6Hr9OnTKiEdOnTQKOZGg4uHTeV+ Lly4oPIGwXN9oMOTSB0FHvQWTs4dLTOXl19+Wbn98MMPGt1c8W6Yl5enCvqc P3/ec+udO3ego4OtWhbQNnmtbCr3YyzR/80337juDBGCzgfa+/bt69Np1YyW eKhFqu+55x77RtHeDbOzs9VFq3GZx6SkJI2fLOy10lvuRy2CCjMCz7nAiBEj YBP0LRqnCdbjAWMn1ZE+8sgjuqw8qdMQPjXgACN5z/VLf/WrX6mRm5b11fXG A1vu5xe/+IXDuQCj587G0p0aK1BYj0d8fLyygpGJLitP6jQ0lpheuHCha7vx GYR+nsbEDb3lfh5++GFoGTx4sOfOxvAD+lLzet6xGI/c3Fw1LoV/v//+e11W ntRpCNPq1q1bg0nnzp1d2//0pz9BIwzsdenpjQeq3A8MMNQMBZ4jnjuvWrVK vdWOHTvM63nHSjwKCgp+9rOfKSX48OpSqhEzhrNmzXIby127dk0N/GAOSGni isZyPzDGVmuAjxo1ynNnGHvzicfFixc7deqkfObNm6fLpzbMGEJc1Ydr2LBh qmXx4sXKcO/evZQmrugt9xMcHAwtMFX03NmY6Wj8csy3eMD8EfpwJTNnzhxd Ml4waajmUBCSCxcuwMtu3brBy+7du9ObGOgt99O1a1doCQsL89x5/vz56q00 LsPuQzxycnJCQkIczpmsl78L6MWkoXEv4EFj/LxixQp6E08lLeV+VJEaeKZ7 vpX6eg24deuWeT3vYOOxe/fuFi1aOJxrwq9du1aXRp2YN1Q9Bozwf/Ob3zic f97S+22M3nhgy/3AJFc1eo60VX8OwxXzbnWCisfq1avVTLx58+bElbvN3xRj vKGIioqqLxOF3nI/xtdobqWx4dlkx7PefDwOHTpkXPMPPvjg85qo8QGq0dPM nsZsxeH8CvHcuXP1YmJfuR9V8x36nI8//hjeDWb0+/fvf+ihh1Sj3vov5uMB jxVHXdhX8Qf1mZ00aZLyqXGET2NiX7kfCAP03kb+1fDV4RwKLliwQOepYuJh DKK8AMHWq+fmaXJnY7ZoxxPQpImt5X6OHz/+xBNPqO9AFK1atVq3bp2G0/tv fJvY0mPeEC61mv3ZlFX7rhW23A88WSD/W7Zssa+gmP/F47PPPlMfqCVLltSv iR/gf/EYOHCgw4b/b8oHEz/Az+Jx9OhR1XXY9+dj/tdKI34Wj7i4uG5O8vLy 6tfEP/CzeBDAx4QAiQcWPiYESDyw8DEhQOKBhY8JARIPLHxMCJB4YOFjQoDE AwsfEwIkHlj4mBBwUhAEwTL13ZN5g48hHxMCJB5Y+JgQIPHAwseEAIkHFj4m BEg8sPAxIUDigYWPCQESDyx8TAiQeGDhY0KAxAMLHxMCJB5Y+JgQIPHAwseE AIkHFj4mBEg8sPAxIUDigYWPCQESDyx8TAjwOR6VlZUlJSVuy+/bB5+bwseE AFQ8Ll++vHLlysGDB7dv314tERkQENCuXbtp06bVuNa9dk9bD2ESPiYEoOIR Hh5e25ImwcHBOTk5dnva9/7m4WNCgA/xgO5i6tSp8fHxu3btgn979+5t99JA dzndFD4mBKDiMW/evISEhDt37rg23r592yhdpLEWQI2eNr05Cj4mBGiZuUyf Pl3FIzMzU6ObK3UaJicnr6mdQ4cOkZn4E1rioVbmbNKkiZkVsXyjTsM2bdp4 WRNv3LhxZCb+hJV4VFVVZWRkTJ48Wd2C6OhoOwwVdRq+8sor/T0wyvxpXAxW 4lEnhYWFAwcOVMVogMDAQMiGrd+B+HBTdu/erWbfzzzzjMYiqhIPM7/l2nWP GDHi6NGj9knexd+U/Px8Ve2idevWRUVFlCbQqd60gN0Fo1H4Fo/S0tKZM2dG RkYOGzasadOmDufyvEuXLrXb0+TOcJF79erlcFb/1L6Od50mJSUlJy0Av65X 2Aq+xcMVOB21yjfcCzvqdCtQhmPGjLFvadM6TS5dumQlHvDr2p19xno8gJSU FHU7li9frtHNFfOGEAkl41olh9IExjnXLGBrrXksWuJx8v+HIhERERrd3A5h xjA1NVWVFIGHi5aypD6b+Ada4rFz504VD+0VAQzMGMIQVNXxhEGp3cuM2/Tm 3DAfDxhjbNy40e0b9bvOheIHDRqk4lFjrV6Nnl52gD65T58+DmchOZjS2qRh xsSfMB8PtR5127ZtY2NjYTpw5cqVioqKAwcOhIWFqWw8+eST9j036zScOHGi 0pgwYcJ3HhQUFJCZ+BPYeNRGixYtcnNz7fasbSuM6Ly4AT179qQx8TPMx+Pq 1avR0dE9evRwu/KNGjUaO3as3dMx74bl5eWutW88gZEqjYmf4cPQtKysLCsr CyazSUlJ2dnZ9v0ZzhU+N4WPCQFaZi4E8DHkY0KAxAMLHxMCJB5Y+JgQIPHA wseEAIkHFj4mBEg8sPAxIUDigYWPCQESDyx8TAiQeGDhY0KAxAMLHxMCJB5Y +JgQIPHAwseEgJOCIAgWqO8+TBAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE QRAEQRAEQRAEQRAEQRAEQRAEQRAaBv8HDrIGaQ== "], {{0, 378}, {181, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{90.5, Automatic}, ImageSizeRaw->{181, 378}, PlotRange->{{0, 181}, {0, 378}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.780051878601873*^9, 3.780051898571581*^9}, 3.7800521230795927`*^9, 3.780052564186296*^9, 3.7800541823550653`*^9}, CellLabel->"Out[1]=", CellID->360149844] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", "dataset2", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{3.780051874277544*^9}, CellLabel->"In[2]:=", CellID->962142665], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt3QtUVVX+B/CL4itDHUwt35QZmqWT5Wupk9MYKprmaKOuMctBCbNEnTBM Jp+Fr2l8By5SfBRCNgo9HJV8oRKoESmU6agoKCqIqaGi+P/9715z1pn73Ofe fbi7Pd/PWtPCczb3/n6be753n8O5TNDYSUPHV7NYLFNr03+Gvjqtz5Qpr0b/ sQH9Y/ibUyPC3xwX1v/Nv44LHzel29jqtLGpn8Wymv73/1/fAwBQxY8AAAAA IKWfJSZ5hZKXx0OBFgAQaEJIXh4PBVoAQKAJIXl5PBRoAQCBJoTk5fFQoAUA BJoQkpfHQ4EWABBoQkheHg8FWgBAoAkheXk8FGgBAIEmhOTl8VCgBQAEmhCS l8dDgRYAEGhCSF4eDwVaAECgCSF5eTwUaAEAgSaE5OXxUKAFAASaEJKXx0OB FgAQaEJIXh4PBVoAQKAJIXl5PBRoAQCBJoTk5fFQoAUABJoQkpfHQ4EWABBo QkheHg8FWgBAoAkheXk8FGgBAIEmhOTl8VCgBQAEmhCSl8dDgRYAEGhCSF4e DwVaAECgCSF5eTwUaAFAjUCjXZutPv/886tXr9rszc3NZXszMzN9Ul5+fj4r IC8vz35vcXGx2eXxcPsaSEtL2+zcwYMHq6xUAGfUCLRz585NnTp1vNXWrVv1 u86ePTt58mTa/tprr3377bc+Ke+7775jtS1evNh+7xdffMH20hcmlcfD7Wvg jTfeGO/cihUrqqxUAGfUCDSSk5NDkcWCi5ZkbGNZWVlsbGwVxIXb8t59911W xqlTp/TbaT35zjvv0PaJEydevHjRvArdctvCkiVL5tvRAm3Dhg1VViqAM8oE GklNTWUH11tvvXXhwgXakpyczLbExcX5trzt27ezSjZu3KjffujQIbZ97dq1 plbolgevgR07drDiZ86cWVJSYlJhAPxUCjSybNkydoh98MEH2dnZ4eHh9PXs 2bPNPtzclnfp0qU333yTiomMjNQXQ8seVvCJEydMrdAto6+Bo0ePRkREUOWT Jk2yWXYC+IpigUZnbdOnT9df25k8efKZM2dkKG/dunWspPT0dLaFCmORu3Dh QrMrdMvQa6CwsJCWwVQ51U9vHKYWBsBPsUBjI19//XUWHXS4HTlyxOzafuYr 7+TJk6yqOXPmsC1JSUlsiwy/IuSf4StXrmhXJrds2WJ2YQD81Au0srKyWbNm scONzvKKiorMru1n7vIWLVrECsvLyystLZ0yZQp9/fbbb1PNVVCka/wzrC01 6QTf7KoADFEv0FJSUvSnnAsWLKiCuOAsj1ZirKrVq1fv3r2bfZ2ammp2eTw4 W9DKjomJuXTpUhUUBsBPsUDLzMzUfu9G2Nd0ZidJeRSt06ZNo5LopJjdrUFf FBcXm10eD54W8vPzJ0yYwJa+dAZdNYUB8FMp0E6dOjVp0iR2uNHXp0+fZr9Y rIKLVPwTuGXLFv0C8qOPPjK1MH5uW7hw4QKdHctz0Q/AnjKBVlJSot28um/f PrYxIyNDu5hm6q0F/BNYVFTE7nZg5Jl21y3Q2lK7APjee+8dtnPs2LGqrBbA IWUCLS4ujh1uNneo0j+1k1Dz7kYzNIFaqfPnzzepHg+4bqGgoGC8S9HR0VVZ LYBDagTagQMHtNQqLS3V79Kv3My7mGZoAj/++GNWz/79+02qxwOuWzh37pzr QJsxY0ZVVgvgkBqB5nP85VHARkZGUgJERUXJcLeGRvIZBuCBQBOCvzztQ52y 3ZIq+QwD8ECgCcFZnva3NSZMmHD+/PkqKIyf5DMMwAOBJgRned988w1bnq1e vboKqjJE8hkG4IFAE4KzvJSUlL9Z/fDDD1VQlSGSzzAADwSaEJKXx0OBFgAQ aEJIXh4PBVoAQKAJIXl5PBRoAQCBJoTk5fFQoAUABJoQkpfHQ4EWABBoQkhe Hg8FWgBAoAkheXk8FGgB4EcAAAAAkJivV4uusArvyUry8ngo0AIAAk0Iycvj oUALAAg0ISQvj4cCLQAg0ISQvDweCrQAgEATQvLyeCjQAgACTQjJy+OhQAsA CDQhJC+PhwItACDQhJC8PB4KtACAQBNC8vJ4KNACAAJNCMnL46FACwAINCEk L4+HAi0AINCEkLw8Hgq0AIBAE0Ly8ngo0AIAAk0IycvjoUALAAg0ISQvj4cC LQAg0ITwoLxr166ZVIxnFGgBwONAu3r1ap8+fTp37rxr1y6TQkzP6OFWWVnZ t2/fLl26ZGVlORxw8uTJvi6tXLnS6DTyjExPTx8+fHjr1q0tFktgYGBISMjS pUv5n8g8CrQA4HGgJSYmWqw+++wzk0JMz2igJScns/K2bdvmcMDhw4ctLr3+ +utGp9HtMJq0GjVq2D9XWFjYnTt3+J/ODAq0AGA00NauXTtr1qz+/ftXq1ZN wkDbtGlTbGzsoEGDqlevzhlozz777HhHkpKSjE6j6zHZ2dnsGRs3brxw4cK9 e/cmJCR07dqVbZw7dy7/05lBgRYAjAZa8+bNbd6apQq0li1b2pTnNtAMBZfr aXQ9Jjw8nJ6uZs2aGRkZ2sbS0tI2bdrQ9qCgIDpN9r4SjynQAoDRQKN34alW w4YNkzDQFi1aNN1q5MiRUgXajRs36tWrR083ePBgm10rVqxglaSnp3tficcU aAHA42toX375pYSBptm9e7dUgZaZmcmebvHixTa78vLy2K6ZM2d6X4nHFGgB AIH24YcfFhQUnDt3rqKiwstpdDFg69at7Ol27txpv5dO4mhXRESExwV4T4EW ABBoGj8/vyZNmrzxxhvHjx/3bBpdDIiPj2fP4vA2ksDAQNo1dOhQo88rkAIt ACDQ7NWuXVt/0Zt/Gl0MmDNnDntwOjuz38t+l9GjRw9DTyqWAi0A/M8GWnFx cWxsbFpaWnZ2Nj1yZmbm2rVru3fvzr6rYcOGhYWFRqfRxYCYmBj2yA6Xf0FB QT5PAwVaAPifDTRnRo8ezb5xw4YNRqfRxYBly5axh83JybHf26hRI9oVGhpq qFSxFGgBAIFm44cffmDfGBkZaXQaXQzQPrmwf/9++7116tShXWPHjjVUqlgK tACAQLNRXl7OvnHUqFFGp9HFgD179rCHXb9+vc2u8+fPs13R0dGGShVLgRYA EGg26HyKfaOhW6rclkeHPPuwWFhYmM2upKQk9oyJiYmGShVLgRYA/mcDjcqm xZj99qFDh7JvTEtLMzqNrsf069fPYv0UZHFxsbaxsrIyJCSEtgcEBFy/fp3/ GYVToAUAo4FGb9NnrTZt2sQO/HXr1rEttMvngUYHVJkVxRErLyUlhW2xOdbo 6KMDc9asWXQmVVJScuvWrSNHjoSGhrLv6tat2927d41Oo+sxVAl78N69e+fm 5lIOFBUVRUZGso3jxo3jfzozKNACgNFAa9GihcWJtm3b+jzQWrVq5ay8du3a 6UdSoOn3+vn5aV8/8MADx44d82AaXY+pqKgYMWKE9ix169bV11ZQUGDoGYVT oAUAo4Fm/+csNI899pjPA4391UGH2rdvrx/5/vvvd+rUyWaMv7//mDFjLl++ 7Nk0uh1GS5qoqCh9ltaoUaN///6lpaVGn1E4BVoA8PgaWhUzeg2N06VLlw4f Ppyamvrpp58ePXqUTjw9exxD5VEm5OfnJycnZ2ZmOryO5xMKtADwPx5ookhe Hg8FWgBAoAkheXk8FGgBAIEmhOTl8VCgBQAEmhCSl8dDgRYAEGhCSF4eDwVa AECgCSF5eTwUaAEAgSaE5OXxUKAFAASaEJKXx0OBFgAQaEJIXh4PBVoAQKAJ IXl5PBRoAQCBJoTk5fFQoAUABJoQkpfHQ4EWAH4EAAAAAIn5+rTSFVahr9ez TkleHg8FWgBAoAkheXk8FGgBAIEmhOTl8VCgBQAEmhCSl8dDgRYAEGhCSF4e DwVaAECgCSF5eTwUaAEAgSaE5OXxUKAFAASaEJKXx0OBFgAQaEJIXh4PBVoA QKAJIXl5PBRoAQCBJoTk5fFQoAUABJoQkpfHQ4EWABBoQkheHg8FWgBAoAkh eXk8FGgBAIEmhOTl8VCgBQCPA+3y5csFBQUmxZc9Dw63a9eumTRp9sxOA0O9 3Llz55dffjH6FJLPMAAPQ4GWl5c3b968nj17Nm3a1M/Pz2Kx1KtX76mnnlq1 alVZWZkkgZaenj58+PDWrVtTeYGBgSEhIUuXLq2aaeQfX1lZ2bdv3y5dumRl ZbkYZqgXCrFp06b16NHjvvvuq1atWocOHV599dXjx48Lb8EnMwzAw1CgPf74 4xYn6DgqKSnxeaAlJibWqFHDvrywsDBat5g9jfzjk5OTWWHbtm1zNsZQL7Rg ph+B/eBGjRplZ2cLbMFXMwzAw4NAa9++fVRU1EcffRQXFzdkyJD777+fvaSn TJni20CjI5dV0rhx44ULF+7duzchIaFr165s49y5c82eRrfDNm3aFBsbO2jQ oOrVq7sONKO9DBw4kO0aNmxYSkrKjh07oqOj/f39aUuDBg2uX78upAUfzjAA D0OBNnHixKSkpKtXr+o35uTksEyjcxDT8owr0MLDw6mMmjVrZmRkaBtLS0vb tGlD24OCguhEz9RpdDusZcuWNgsbZ4FmqJdz586xhKSovHv3rradzgTZs6xd u1ZICz6cYQAeHv9SQC80NJQdOHRkCQwxPbeH240bN+rVq0c1DB482GbXihUr WHnp6emmTqPbYYsWLZpuNXLkSBeBZrSXOXPmsI3ffvutfjDFCy2laHuvXr28 b8G3MwzAQ0ig0Yknez0XFxcLDDE9t4dbZmYmq2Hx4sU2u/Ly8tiumTNnmjqN /ON3797tItCM9tKvXz/aUr9+ff3yjHnppZdoF63f7HcZbcG3MwzAw/tAu3Ll SvPmzenF/NBDD4kNMT23h9vWrVvZMbVz5077vXSWRLsiIiJMnUb+8a4DzWgv v/3tb2lLz5497QfPmzdPe6/xsgXfzjAAD+8DbeXKlex1PnHiRLEhpuf2cIuP j2dlOLwRIjAwkHYNHTrU1GnkH+860Iz20rRpU9oyYMAA+8HaZbTc3FwvW/Dt DAPw8DLQDh06xH4jQP/Nz88XnmMat4ebdh2JTn/s97Kr8T169DB1GvnHuw40 Q71UVlay32bS2aX94I8++og91Pbt271swbczDMDDm0CjbwkKCmIv8jVr1piR Y/rncn24xcTEsEoc3krK6vy1BJqhXioqKthNzqNGjbIfnJiYKCrQfDvDADw8 DrQTJ048+uij2qVgk3JM4/ZwW7ZsGSsmJyfHfm+jRo1oV2hoqKnTyD/edaAZ 7aVhw4a0ZciQIfaDtd8/ur29VvIZBuDhWaAdO3ZMS7Pp06ebl2Mat4ebdu/9 /v377ffWqVOHdo0dO9bUaeQf7zrQjPbSvn172tK3b1/7wfPnz2cPVVBQ4GUL vp1hAB4eBFpWVha7Ck0WLFhgao5p3B5ue/bsYSWtX7/eZtf58+fZrujoaFOn kX+860Az2kufPn1oyyOPPGL/UOxWWHLr1i0vW/DtDAPwMBpoX3zxRYMGDeil 6+/vv3r1arNzTOP2cKNjqlq1ahbrhwptdiUlJbHDLTEx0dRp5B/vOtCM9hIR EcE2nj171mZ8cHCwxXoPv/ct+HaGAXgYCrRVq1axDybXr18/LS2tCnJMw5MY 7P7Sxo0b6++5qqysDAkJoe0BAQE8H2n0Zhr5x7sOtHsGe9FuebW5r5XODdn2 WbNmCWnBhzMMwIM/0L7++mvLf7z33nubHdm+fbsPAy0lJYWV17t379zcXDrQ ioqKIiMj2cZx48aZPY1uh9HxXmZFbwesKqqZbbGJAqO9sL8bQCuohIQEerTb t2/v27fvwQcfZBvdXkDjbMGHMwzAgz/Q6GTT4k7btm19GGgVFRUjRozQiqlb t672dbt27XgOai+n0e2wVq1aOZs6qlA/0mgvFF/sUoDF+kEndome+Pn5LViw QFQLPpxhAB78gfbVV1+5DbTg4GAfBto96+lPVFQUnftoJdE5cv/+/UtLS6tg Gt0OY38U0aH27dvbDDbay9GjR5944gl2TxrTpEmTjRs3im3BVzMMwMPoLwV8 xdBFKjro8vPzk5OTMzMzy8vLTZ1Axug1NH5Ge6HzzfT09C1bthhdL0k+wwA8 lAy0qid5eTwUaAEAgSaE5OXxUKAFAASaEJKXx0OBFgAQaEJIXh4PBVoAQKAJ IXl5PBRoAQCBJoTk5fFQoAUABJoQkpfHQ4EWABBoQkheHg8FWgBAoAkheXk8 FGgBAIEmhOTl8VCgBQAEmhCSl8dDgRYAEGhCSF4eDwVaAPgRAAAAACTm69NK V1iFvl7POiV5eTwUaAEAgSaE5OXxUKAFAASaEJKXx0OBFgAQaEJIXh4PBVoA QKAJIXl5PBRoAQCBJoTk5fFQoAUABJoQkpfHQ4EWABBoQkheHg8FWgBAoAkh eXk8FGgBAIEmhOTl8VCgBQAEmhCSl8dDgRYAEGhCSF4eDwVaAECgCSF5eTwU aAEAgSaE5OXxUKAFAASaEJKXx0OBFgA8DrQrV66cOnXq6tWrJiWYDQ8Ot2vX rpk0afYkL48HAk2UuXPnPv3009OmTausrPRtJd99993gwYNDQkIOHDjg20qq jKFAO3369PLly59//vlWrVpVr17dYrH4+/u3bNly0qRJx44dkyTQ0tPThw8f 3rp1ayovMDCQfppLly6tmmmUtjweCDTm7t27SUlJGzZs2LVrl82uX375ZYNV RkaGs2/Pycmx/Me//vUvc2t1Z+DAgayS7t27+7aSKmMo0AYNGmRxgo7NrKws nwdaYmJijRo17MsLCwu7c+eO2dMobXk8PAs0On4pnJs3b04p7X0Nzz33XHMn aM3j/ePzuH79OvuhPPDAAzY/lOTkZLZr1KhRzr6d3tm1H+sXX3xhfr2u0A+F VfLMM8/4thKycOHC9/7j888/dziGJvz999/Xhu3cudPos3gQaLQke/PNN1eu XJmamkr/7dKlC5u04OBg3wZadnY2q6Rx48Y0e3v37k1ISOjatSvbSCcCRifH 6DRKWx4PDwKttLT04YcfZvU/++yz3tfQrFkzZ++YtMv7x+ehBRrZsWOHftdL L73kNtDIihUr6EihA9Pnp5z0Ax07duzLL7985MgR31ZC6K28U6dO/a0WL17s cMzt27cHDBjAxjRs2PD11183+iyGAm3mzJlxcXH0MtZvLCkpoXdP9oM+efKk DwMtPDycaqhZs6b+jICqbdOmDW0PCgoy7wUmeXk8jAYaVUuvPe3YFxJo9913 Hz3UtGnT0u3s37/f+8fnoQ+08ePHa9vpfLNu3bo8gQYOUaB9+eWX/OOHDBli dqA5M3XqVPaD3rdvn8AQ03N7uN24caNevXpUw+DBg2120TsmK4+OC6PzY2ga pS2Ph9FAo3c3qrlOnTrDhg0TEmg3b96U4UyNBVpAQEDt2rX1Z52bN2+m7bRs EBVo9I5QVFSUmZn5/fff08qEp7C8vDwK9uLiYu+f3RlWEr3Puh5269at3Nzc w4cP0wub85F/RYH2hz/8ga09Ll68KDDE9NwebvRTYIeD/WqWXgZsFx2DRufH 0DRKWx4PQ4FGmePn50c1r1y5cvLkyUIC7fz582weDh065OVDeYMFGr2Y2QUW 7axz5MiR9M8//vGPNoFGA+o70qBBA2dPQYfJhAkT2BscQwf7E0888cEHH9A6 0H48ZekzzzyjPwFv3LgxvY9QntiMfO655xwWExsb67CS4cOH096NGzdWVFS8 ++67HTp00J6ia9eux48ft/+WwsLC0aNH+/v7s2H0MrB5LmfXx+QPtLKysr17 97722mustRkzZpgRZYzbw23r1q2sDIcXEun1SbsiIiKMzo+haZS2PB78gXby 5Mnf/OY3VPBLL71E/6RjU0igaZfTz5496+VD6dFC4tKlS/zjtVNOymrtrLO8 vJzWbJRR8+bNswm0LVu2WJxw9vidO3dmA5o0adK9e/fg4GAtH5o2bUqvdv34 Tz75hL13VK9e/cknn+zWrRtbJTKLFi3SD+7UqZPDSpy9V7KlyNtvv/373/+e jWRn/UyzZs1o2awff/ny5RYtWtCuatWq9e7dm769Vq1aNs/1z3/+0+FzyRxo FN30AmavakJNUZqZek+a28MtPj6eFZOVlWW/NzAwkHYNHTrU6PwYmkZpy+PB GWi0hOjYsSNVS+/mdGzeExdoGRkZbIpoEUvLDzrS6SijPNmwYcPdu3c9fti2 bdvSST3/eC3Q/v3vf9MLm511stT6y1/+Mnv2bJtAo6w7999mzZrlItA+/vhj tvcf//iH1hedwa1du7Z169b0vfb10+D27dvrc54OQFomUeBcuHBBP5jORm2K YetA14HG0AOeOnXqnnWpPHjwYLZx9erV+vGvvPIKbaSTcVrJsC10fkHLRdpo X7kNmQON1rr6TH7xxRcPHDhgXpr9zBFoc+bMYcXQDNvvbdmyJe3q0aOH0fkx NI3SlseDM9DoZU+l0lrlp59+YltEBVpqaqrD1QU7nA1d39PzONBoNUIvbPri 66+/ZgcyfUHnZRZ319AoqVwE2jvvvMP2lpSU2OyifLP5xRAFHa2FaLDDQ5vn Vh/6SbkNNFoBLlu2TL+damO/AbE5a2DLs6lTp+o3sovAtLZ0XYnMgXbmzJlp 06ZNnDjxhRdeqFOnjsW6BKWfow8DLSYmhr1OHJ74BwUF+TbQfFseD55AW758 OftZ66/biwq077//noL9wQcfnDt37q5du+ifaWlpoaGhbN7obMvh9SW3vAm0 Tz/9lL6g13mjRo1oOUSB432gbd++ne2l00Na+Nmc09mjV4XFegd7dHT0iRMn +BtheAItJCTEfhe7HYvmX9tC6cpOfhMSEvQj6YelzZiLSmQOND1apgYHB1us FzaPHDkiNsc0bg83eoths5qTk2O/l16QNj8dsSQvj4fbFmgRzu4KptMu/XZR gXbPej5rf4DTWyebuvXr13vwmN4EGhVTv3599s+//vWvtNf7QCN0dsaSgdDj jxkz5rPPPnP2UTg6833kkUe0xerTTz8dGxt79OhRznZ4Am3gwIH2u9jvRGx+ rO3atbNfLv7973+3WG+td13JryXQSFJSEpvtpUuXisuw/+L2cNPu4nZ4wxJb Ro4dO9bo/BiaRmnL4+G6BfoR0DkFa2H8+PGv6Tz66KPsjIP989tvvxVb2O3b t9npz5QpU3jG79ixI0aHEuP555/Xb7ly5YqLb9cHGv2Tfijsn6wvIYFG6K1/ 2LBh+ivw1GNkZKTDX4iUl5cvXryYLRv0yUYLSLdXFz0ONMoT+0B766232HJx 06ZNbMu+fftY5ru9leVXFGjaJTV6sxaXYf/FbWLs2bPH2fu4dj8ALdqNzo+h aZS2PB6uW6CTHQufzZs3C6+NzjfpkWnNwDM4Pj6+j07NmjVphaPfUlRU5OLb bQItPT3dYr2Ix/aKCjSGVqR0Wk3vAnSizb6F1jl0ru1s/PHjx2k5RC1oC7xx 48a5fgqxgUZnnY8//jh7ajoHDwoKYpXQDLu9de1XFGjaPQl0MiIwxPTcJgbF Art8GhYWZrNLW0AmJiYanR9D0yhteTxct3D16tVlTvTq1YuKp3Ua+2dBQYHD Rzh16hSdWLm9ZGSPFiEBAQEW7hWaDW9OOdmz08/l4MGDbK/YQNNQUNAajP3B h5EjR7odn5eX99RTT7Fncf3CExtotCakIhs2bNizZ8/777+ffi60UKSjnuf2 WtkCjV6Qa9assfncE6GXunYTS2pqqq8CjfTr189ivedQfyt1ZWVlSEiIxXrv N7vNwAySl8eDpwWHeK6hffjhhyzPH3jgAYeXjik3pk+fTrFvv2vJkiXs1UXJ 70F5XgaaDe8Djda6zuaZvTXYfAx/+/btFRUV9oPZ0pE4u5GVERtotFKljbSq dPGMzsgWaAcOHKBeWrRoMXfuXJpkeiOmA5O+oAUwm9iOHTuWlJT4MNBSUlJY Jb17987NzWUfLYmMjORcnHtD8vJ4mBpo+hs+Hf65JHpRsbSPi4v7+T93ltIZ 2Zw5c9hdx8HBwZ79BTmpAo0evF27dv7+/jRpp0+f1u/atm0bu5Sqv1MiISGB 9W6zuKVVBAscYnMrmg2xgcZuPR09evTFixddPKlDcgaaMzRvhw4dMinNOAON 3shGjBihlaR9lJjQq8jZqZAQkpfHw9RA086PyPLly+0H7N+//6GHHmIDKMEe e+wxmhPtTy3Vr1//2LFjHtR2T7JAo5+y/l5W6qtbt24DBgzQLvg3a9bszJkz 2niqnN10bbHeLdOmTRs61/vd735Hp3tsY0xMjOt2xAYa+1kzTZo0ecTq0Ucf pVXlCy+8sGrVKkpaZ5XIFmiFhYUzZsx44oknbKLMz89vzJgxdEJqXppxBto9 6xlcVFQUu+TC0DT279/f7RVLL0leHg9TAy0xMZEttFq1auXsl4x0LNDhyf70 pX5+wsPDXS9CXIuPjzf0i9cbN274WZWVldnvZYH2yiuvuHgEt9fQ9u7dO2jQ IO0XAUytWrXoOLK/04ymZfbs2U8++aTNh4wo8G1u43fIdaCxyx0OP6LiMNC+ ++477VNaDlGyObtMKlugac6ePUvvp+yveh48eNC8D6TrGTrcKDfy8/OTk5Mz MzPLy8uNzokHJC+Ph8eBxunSpUu0huf5ENPJkyd37dqVlpaWl5fH82cofr1K Skr27duXkZFBM+/2lUArfHrZ7N69+5tvvjH1D244Q2lGS0p6Y4qLi/vpp5+y s7OzrLZv375y5UrtqgJ15PDbpQ00nzD7cPOS5OXxUKAFMBX7g37O/oTC119/ zQLt1/jh9Kon+eEmeXk8FGgBTMU+O/Dqq6863Kvdc+vskgICTU/yw03y8ngo 0AKYav78+WwNNm7cODrfvHbt2t27dwsLC7ds2cJuSSI0xtm3U6DNmDEj1YrO Xh2Oqays/Pzzz9mYZ555BoHmK5KXx0OBFsBUt2/f/tOf/mTzC0Ht6yZNmrj+ bXKbNm20/8ubyZMnOxxz8+bNli1basP+9re/GS0SgSaE5OXxUKAFqAInTpxY smRJaGhoZ6sXX3yR0unjjz++deuWr0v7fwg0ISQvj4cCLQAg0ISQvDweCrQA gEATQvLyeCjQAgACTQjJy+OhQAsACDQhJC+PhwItACDQhJC8PB4KtACAQBNC 8vJ4KNACAAJNCMnL46FACwAINCEkL4+HAi0A/AgAAAAAEvP1aaUrrEJfr2ed krw8Hgq0AIBAE0Ly8ngo0AIAAk0IycvjoUALAAg0ISQvj4cCLQAg0ISQvDwe CrQAgEATQvLyeCjQAgACTQjJy+OhQAsACDQhJC+PhwItACDQhJC8PB4KtACA QBNC8vJ4KNACAAJNCMnL46FACwAINCEkL4+HAi0AINCEkLw8Hgq0AIBAE0Ly 8ngo0AIAAk0IycvjoUALAMoHWmVl5Y0bN4TPmw0Pyrt27ZpJxXhGgRYAlAy0 O3fubNy4cdKkSb169QoICLBYLLVr105JSTF7GnlGpqenDx8+vHXr1lRVYGBg SEjI0qVLzSuMnwItAKgXaMXFxX369LHYiY+PN3sa3Q5LTEysUaOGfW1hYWEU wuaVx0OBFgAUC7RDhw41a9aMHWI9evSYPXv25s2bN23aFBkZuW3bNrOn0fWY 7OxsVljjxo0XLly4d+/ehISErl27so1z5841rzweCrQAoFKgVVZWduzYkY6s WrVqLV++nP5ZNXN4jy8NwsPDqbaaNWtmZGRoG0tLS9u0aUPbg4KCqrJgewq0 AKBSoH322WdsqTBv3ryqmT2N2/Ju3LhRr149qm3w4ME2u1asWMHKTk9PN7NG NxRoAUCZQKO1QadOneiYCg4OrqioqLIJZNyWl5mZyQ75xYsX2+zKy8tju2bO nGlmjW4o0AKAMoFWWFjIjqmoqKjy8vLs7OxPPvkkLi4uLS2toKCgaqbRxYCt W7ey8nbu3Gm/l07iaFdERIRpBbqnQAsAygTagQMH2OHWpUuXRo0a6X8B5+/v /+c///ny5ctmT6OLAfHx8ayYrKws+72BgYG0a+jQoaYV6J4CLQDwB1pZWVmJ F+jbTQ00Wo/pQ6x+/fodOnR4+OGHtS29evW6efOmqdPoYsCcOXNYGXR2Zr+3 ZcuW7NeyJpXHQ4EWAPgDjc7pfvQCfbupgRYbG8sOt5dffjknJ0fbTkffU089 pZ2NmjqNLgbExMSwGo4fP26/NygoyOdpoEALAMoE2rvvvssOt5MnT9rsoqdu 0KABOxs1dRpdDFi2bBkrTx+2GnaOHBoaalJ5PBRoAYA/0K5cuXLRC/TtpgZa YmIiO9z0t0hp+vbta7F+AMqkX4C6LS85OZmVt3//fvu9derUoV1jx441ozZO CrQAwB9ovuX2cKOjjB1u69ats987atQottekD6q7LW/Pnj2sgPXr19vsOn/+ PNsVHR1tRm2cFGgBQJlAKy4uZsdUZGSk/d7evXvTrhYtWpg6jS4G0CFfrVo1 i/Uzjza7kpKSWOW0yDSpPB4KtACgTKCRzp07W6yfe7IZmZubW716dYujW9zF TqPrMf369bNYPwVJ2attrKysDAkJoe0BAQHXr183qTweCrQAoFKgZWZm+vn5 WawfFjh48CDbuG/fPvZJw5o1a1KymTqNrsekpKSwZQwtF6kSyoGioiJaT7KN 48aNM6k2Tgq0AKBSoJEJEyZoN54FBgayzx4SCrolS5aYPY2ux1RUVIwYMUIr r27dutrX7dq1q4KPM7imQAsAigUaWbNmTcOGDS06dKzROq0KptHtMFrSREVF sb85ydSoUaN///6lpaWmlsdDgRYA1As0cvfu3ePHj2/ZsuWrr74qLCw0dQIZ Q+VRJuTn5ycnJ9M5cnl5uamF8VOgBQAlA63qSV4eDwVaAECgCSF5eTwUaAEA gSaE5OXxUKAFAASaEJKXx0OBFgAQaEJIXh4PBVoAQKAJIXl5PBRoAQCBJoTk 5fFQoAUABJoQkpfHQ4EWABBoQkheHg8FWgBAoAkheXk8FGgBAIEmhOTl8VCg BQAEmhCSl8dDgRYAfgQAAAAAKfl6nQgAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAoL7/A8IfNG4= "], {{0, 282}, {411, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{205.5, Automatic}, ImageSizeRaw->{411, 282}, PlotRange->{{0, 411}, {0, 282}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.780051851465008*^9, {3.780051884952056*^9, 3.780051900336602*^9}, 3.780052124733276*^9, 3.7800525642754917`*^9, 3.780054182418894*^9}, CellLabel->"Out[2]=", CellID->338799814] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["Options", "Subsection", TaggingRules->{}, CellID->890561554], Cell[CellGroupData[{ Cell["Sparse", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.778695043025792*^9, 3.778695046760503*^9}, { 3.780333703814858*^9, 3.7803337054912987`*^9}}, CellID->615421633], Cell[TextData[{ "The result of ", Cell[BoxData["CrossTabulate"], "InlineFormula", FontFamily->"Source Sans Pro"], " is 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", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " by default. With the option setting ", Cell[BoxData[ RowBox[{"\"\\"", "->", TagBox[ ButtonBox[ StyleBox["True", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/True", ContentPadding->False], MouseAppearanceTag["LinkHand"]]}]], "InlineFormula", FontFamily->"Source Sans Pro"], " the result is an ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Association", "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/Association", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " with three elements: a sparse matrix with the contingency values, row \ names, and column names." }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7786950642343473`*^9, 3.7786950686534986`*^9}, { 3.7786951141609583`*^9, 3.7786952252342587`*^9}, {3.780052150970662*^9, 3.780052198120055*^9}, {3.7803337149483213`*^9, 3.780333774652402*^9}, { 3.7803361291059203`*^9, 3.780336134844494*^9}, {3.7803361651965294`*^9, 3.78033617660567*^9}}, CellID->671726385], Cell["Here is an example:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7786952271796913`*^9, 3.778695230757098*^9}}, CellID->380656147], Cell[BoxData[ RowBox[{ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "40"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"data", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"ToString", "/@", RowBox[{"RandomInteger", "[", RowBox[{ RowBox[{"{", RowBox[{"10", ",", "20"}], "}"}], ",", "n"}], "]"}]}], ",", RowBox[{"ToString", "/@", RowBox[{"RandomInteger", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "6"}], "}"}], ",", "n"}], "]"}]}]}], "}"}], "]"}]}]}], "\[IndentingNewLine]", "]"}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695413281784*^9, 3.778695501425935*^9}}, CellLabel->"In[1]:=", CellID->711196925], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"res", "=", RowBox[{"CrossTabulate", "[", RowBox[{"data", ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695240150731*^9, 3.778695254315763*^9}, { 3.778695406343025*^9, 3.778695410524623*^9}}, CellLabel->"In[2]:=", CellID->369834712], Cell[BoxData[ RowBox[{"\[LeftAssociation]", RowBox[{ RowBox[{"\<\"SparseMatrix\"\>", "\[Rule]", InterpretationBox[ RowBox[{ TagBox["SparseArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquarePlusIconMedium"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ RasterBox[CompressedData[" 1:eJxTTMoPSmVmYGDgBmI2IAaxrcp3x81SOmc/x3jRFvMfV+xfLFJ8HLjqlf3d XomAJsGL9kukvlUnzX1o39L4/N7hpW9JFsdlPrXEqWXvQJlzhjE/z7Lljn1g /d5DTb+f21cJh9kWZ74nWZxUe3d2G7ju3PLC/ob78nU1097an4zI/Rf/9T3N 44vW4UZq+sRlzkCFw1BJt7R2/0CVP9RKP6S6Z6DCgdT0DwBf60rI "], {{0, 0}, {6, 11}}, {0, 1}], AspectRatio -> 1, Axes -> False, Frame -> False, FrameLabel -> {None, None}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> Scaled[0.02], "RangePadding" -> Scaled[0.05]}], GridBox[{{ RowBox[{ TagBox[ "\"Specified elements: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["31", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"11", ",", "6"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquareMinusIconMedium"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ RasterBox[CompressedData[" 1:eJxTTMoPSmVmYGDgBmI2IAaxrcp3x81SOmc/x3jRFvMfV+xfLFJ8HLjqlf3d XomAJsGL9kukvlUnzX1o39L4/N7hpW9JFsdlPrXEqWXvQJlzhjE/z7Lljn1g /d5DTb+f21cJh9kWZ74nWZxUe3d2G7ju3PLC/ob78nU1097an4zI/Rf/9T3N 44vW4UZq+sRlzkCFw1BJt7R2/0CVP9RKP6S6Z6DCgdT0DwBf60rI "], {{0, 0}, {6, 11}}, {0, 1}], AspectRatio -> 1, Axes -> False, Frame -> False, FrameLabel -> {None, None}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> Scaled[0.02], "RangePadding" -> Scaled[0.05]}], GridBox[{{ RowBox[{ TagBox[ "\"Specified elements: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["31", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"11", ",", "6"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Default: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["0", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Density: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["0.4696969696969697`", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Elements:\"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"\"", "SummaryItem"]}]}, { TagBox[ TagBox[ GridBox[{{ RowBox[{ RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}], "\[Rule]", StyleBox[ PaneBox[ "1", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}, { RowBox[{ RowBox[{"{", RowBox[{"1", ",", "3"}], "}"}], "\[Rule]", StyleBox[ PaneBox[ "1", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}, { RowBox[{ RowBox[{"{", RowBox[{"1", ",", "5"}], "}"}], "\[Rule]", StyleBox[ PaneBox[ "2", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}, { RowBox[{ RowBox[{"{", RowBox[{"1", ",", "1"}], "}"}], "\[Rule]", StyleBox[ PaneBox[ "1", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}, { ItemBox[ "\"\[VerticalEllipsis]\"", Alignment -> Center, StripOnInput -> False]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, DefaultBaseStyle -> "Column", GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], "SummaryItem"]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], SparseArray[ Automatic, {11, 6}, 0, { 1, {{0, 4, 9, 13, 14, 15, 18, 20, 23, 26, 28, 31}, {{2}, {3}, {5}, { 1}, {1}, {2}, {3}, {4}, {6}, {4}, {2}, {3}, {1}, {2}, {5}, {3}, {2}, { 1}, {6}, {4}, {4}, {2}, {1}, {3}, {5}, {6}, {6}, {3}, {3}, {2}, { 4}}}, {1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 3, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1}}], Editable->False, SelectWithContents->True, Selectable->False]}], ",", RowBox[{"\<\"RowNames\"\>", "\[Rule]", RowBox[{"{", RowBox[{"\<\"10\"\>", ",", "\<\"11\"\>", ",", "\<\"12\"\>", ",", "\<\"13\"\>", ",", "\<\"14\"\>", ",", "\<\"15\"\>", ",", "\<\"16\"\>", ",", "\<\"17\"\>", ",", "\<\"18\"\>", ",", "\<\"19\"\>", ",", "\<\"20\"\>"}], "}"}]}], ",", RowBox[{"\<\"ColumnNames\"\>", "\[Rule]", RowBox[{"{", RowBox[{"\<\"1\"\>", ",", "\<\"2\"\>", ",", "\<\"3\"\>", ",", "\<\"4\"\>", ",", "\<\"5\"\>", ",", "\<\"6\"\>"}], "}"}]}]}], "\[RightAssociation]"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.778695248087645*^9, 3.778695317220325*^9, {3.77869541590954*^9, 3.778695503153223*^9}, 3.7796229956081877`*^9, 3.7800512403620777`*^9, 3.780052204478133*^9, 3.780052564612501*^9, 3.780054182639237*^9}, CellLabel->"Out[2]=", CellID->741528247] }, Open ]], Cell[TextData[{ "Using ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["MatrixForm", "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/MatrixForm", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " we can visualize the result:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7800522153469143`*^9, 3.780052241196939*^9}, { 3.780333796206335*^9, 3.780333803392684*^9}}, CellID->78751038], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"MatrixForm", "[", RowBox[{ RowBox[{"res", "[", "\"\\"", "]"}], ",", RowBox[{"TableHeadings", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"res", "[", "\"\\"", "]"}], ",", RowBox[{"res", "[", "\"\\"", "]"}]}], "}"}]}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695256840768*^9, 3.778695314988041*^9}, { 3.778695348716877*^9, 3.778695352540989*^9}}, CellLabel->"In[3]:=", CellID->358222857], Cell[BoxData[ TagBox[ RowBox[{"(", "\[NoBreak]", TagBox[GridBox[{ { StyleBox["\[Null]", ShowStringCharacters->False], TagBox["\<\"1\"\>", HoldForm], TagBox["\<\"2\"\>", HoldForm], TagBox["\<\"3\"\>", HoldForm], TagBox["\<\"4\"\>", HoldForm], TagBox["\<\"5\"\>", HoldForm], TagBox["\<\"6\"\>", HoldForm]}, { TagBox["\<\"10\"\>", HoldForm], "1", "1", "1", "0", "2", "0"}, { TagBox["\<\"11\"\>", HoldForm], "1", "1", "2", "1", "0", "1"}, { TagBox["\<\"12\"\>", HoldForm], "1", "1", "1", "1", "0", "0"}, { TagBox["\<\"13\"\>", HoldForm], "0", "1", "0", "0", "0", "0"}, { TagBox["\<\"14\"\>", HoldForm], "0", "0", "0", "0", "1", "0"}, { TagBox["\<\"15\"\>", HoldForm], "1", "1", "2", "0", "0", "0"}, { TagBox["\<\"16\"\>", HoldForm], "0", "0", "0", "1", "0", "2"}, { TagBox["\<\"17\"\>", HoldForm], "2", "1", "0", "3", "0", "0"}, { TagBox["\<\"18\"\>", HoldForm], "0", "0", "1", "0", "2", "2"}, { TagBox["\<\"19\"\>", HoldForm], "0", "0", "1", "0", "0", "1"}, { TagBox["\<\"20\"\>", HoldForm], "0", "1", "1", "1", "0", "0"} }, GridBoxAlignment->{"Columns" -> {{Center}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{ "Columns" -> {False, True, {False}, False}, "Rows" -> {False, True, {False}, False}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}}], {OutputFormsDump`HeadedRows, OutputFormsDump`HeadedColumns}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[ SparseArray[ Automatic, {11, 6}, 0, { 1, {{0, 4, 9, 13, 14, 15, 18, 20, 23, 26, 28, 31}, {{2}, {3}, {5}, {1}, { 1}, {2}, {3}, {4}, {6}, {4}, {2}, {3}, {1}, {2}, {5}, {3}, {2}, {1}, { 6}, {4}, {4}, {2}, {1}, {3}, {5}, {6}, {6}, {3}, {3}, {2}, {4}}}, {1, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 3, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1}}], TableHeadings -> {{ "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20"}, { "1", "2", "3", "4", "5", "6"}}]]]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.778695353145081*^9, {3.778695416928577*^9, 3.778695504090972*^9}, 3.779622995675572*^9, 3.780051240378343*^9, 3.7800522059151993`*^9, 3.780052564627536*^9, 3.78005418265423*^9}, CellLabel->"Out[3]//MatrixForm=", CellID->190043359] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["Applications", "Subsection", TaggingRules->{}, CellID->605265931], Cell[CellGroupData[{ Cell["Data study", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.779626726094152*^9, 3.779626733821926*^9}}, CellID->231495819], Cell["Take the Titanic dataset:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779626520171036*^9, 3.779626536910771*^9}, { 3.7796288290736513`*^9, 3.779628831705353*^9}}, CellID->879385885], Cell[BoxData[ RowBox[{ RowBox[{"titanic", "=", RowBox[{"ExampleData", "[", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}], "]"}]}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7786929123777313`*^9, 3.778692971069565*^9}}, CellLabel->"In[1]:=", CellID->82962222], Cell["Find how many males and females are in each passenger class:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779626540769601*^9, 3.779626577523225*^9}, { 3.779628840559951*^9, 3.779628843968227*^9}}, CellID->893946204], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", RowBox[{"titanic", "[", RowBox[{"All", ",", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], "]"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778692930984191*^9, 3.778692964631445*^9}}, CellLabel->"In[2]:=", CellID->76288724], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnQl0FUX2xp8iLuMwOiigiKMIOiKisgwuDAgIsijIMooOiMAB2SEkJsFh GRZZZd+SsIQAYUkiW4IoJOxRAgQwgMBEhBAgEgQCssuS//d/91Cn7X5Lby/9 LO/vnPHwqqur79dVX9Wtfp155Tv1bfXxnS6XK+xe/KdVx8h6oaEdP239ID68 2yese9c+XTo36fNJl65dQl/pVAyFq/G/5+5wuf7/34UMwzjE/xiGYRjmD8kv jD4kuF0sIRhg95lAgtvFEoIBdp8JJLhdLCEYYPeZQILbxRKCAXafCSS4XSwh GGD3mUCC28USggF2nwkkuF0sIRhg95lAgtvFEoIBdp8JJLhdLCEYYPeZQILb xRKCAXafCSS4XSwhGGD3mUCC28USggF2nwkkuF0sIRhg95lAgtvFEoIBdp8J JLhdLCEYYPeZQILbxRKCAXafCSS4XSwhGGD3mUCC28USggF2nwkkuF2GJJw9 e/bw4cMHDhzIz88PaFTr1q2LiYmZM2eOnsqGJJw7dy4nJ2f//v25ubkFBQUW YlRjKGYV7D4TGL1dZ86ciYiICA0N3bZtm+mLHj9+fNeuXbt378ZAMt2IQI+E rKysuXPnIvKuXbt+fJuQkJAlS5YEyIazZs3CJXA5PZX1SECFxYsXDxgwoFu3 bkIC2p88efKePXtsiNhgzNrw2H1GMXq7vvjiC+r3zZs3m77o0qVLqZGjR4+a bkSgRwJ897EXIiMjT548aT0MFba7b+zYsd4kwI/bt28v4phVsPtMoPN2LV++ PDY2dtCgQaLHf4/uw8KRkJCwcePG1NTUKVOm9OrVi8KYMWOG9TBUBMh9n3zy SXx8fFpaWmZmJlQMHTqUJPTt2/f8+fNFGbMKdp8JdN6u3r17q+bb35f7MHVs 2bJFlejirO7duyMMqLM+dFXY7r7ExMS1a9di36osxEZATInWhz27r4jRv/Yt cYNdhl/3/fjjj6g5derU4cOHjxs3Drv4r7/+Oi8vj44mJyePHj2aGpk/f/7S 22zdujWgEjwyZswYiiQnJ4dK4FCIRTw7d+7EUMf6MnPmzP/+97+jRo2Ki4sT 1VRgX4klaeTIkYMHD54wYQJawH/tdZ83MLGQBGyltRLw8dSpU1goV65cuWLF iu+//96umD1KYPcZwujt+vbbb327D75TPtlQ7k3oQrTcaJk2bVrRSFAi3Hfi xAkqwWpCJXAcMlVVkFgl9+7dq2yhoKAA2axHyUXgPlwdcdKFfvrpJ5WEefPm Yd5T5i2LFi2yK2aPEth9hrDXfdhS0VFsqbDqYWrFChgZGUmFNPGiHJsXKhky ZMio22CuLhoJgvz8fBqZiFYUiqErgAexWPfp04c+jhgxQtkIlgxRE2t9TEzM pEmTROXAuQ9eQy5NqxVYuHChDwkq99kSs0cJ7D5D2Ou+iRMn4hBWtyNHjohC bKnS09MxRWdnZ1NJ0e/7PIKdFIUxe/ZsUagculiORap57NgxMY3g36KQHt1g 6Cq/gkHKivEcIPcdOnTo008/FUEiqVi8eLFyS6uU0KNHDxgTsaFHsGpjU2BX zB4lsPsMYa/7KAvCeBBZkEeCwX3YClHqhfGJMSnKxdBVWpIQbsWOiUqSkpKo JCUlRVXZ9qcugn379imXM9xzTG7KCsrkWSnN3pg9SmD3GcJe92GaFf2elpYm NlMqHHff/v37RaK1du1a5SHlpkl1lsircROoBIsjrfWnT59WVQ6c+3BX4aAF CxZMnjxZbKLnz5+vR4KNMXuUwO4zhL3uw85OtZcPDw+Pioo6ePCgspqz7kMw ffv2pQCQs6mO+hi6GRkZKvfR037kgdqrBM59So4fP96/f3/ViuzbfXbFrILd ZwJ73Qd27NgxbNiwjzVMnz5dfFfloPv27NkjrBcfH6+t4GPoYpekcl9ISAg+ Qq+2naJxH9iwYQNFtXz5cr8SbIxZBbvPBLa7jzh8+PD69evR+4MHDxYGXLVq FR0V7vP29Zkh9EuAfXr27EmXXrZsmcc6htxH+9zIyEhtO0XmPswnFFVMTIxf CTbGrILdZ4IAuU9JamoqnSJe6BJPvLXPBEygUwL2d/R+MkbXmjVrvFUz5D56 SIhmtTvcInOf2I0uWbLErwQbY1bB7jOBve5btGiRaov3i/trNTpl5syZVJKW lkYlW7ZsMR25wK+Ec+fOITC6Yq9evXy/VGPIfeIpaEJCgrIm1nTaXtnlPjSI xVr7JBnRDhw4kGIQTz59u8+umD1KYPcZQuftwiJ10E1ycrLYZVAJkkxRLTQ0 FH0XHR2dkZGRm5sL3+3cuXPq1Kl0yurVq6na7t27qaR///6ogMa3ugmQBPG0 BMTGxq7xhJhMDLnv+PHjPXr0oMIFCxZACw7hH6LQLvfRHUOzc+fOxWJ34MCB 7OzsdevWiS/+BgwYIJ5h+nafXTF7lMDuM4TO26V9y1oQFhYmqsF93qqNGDFC PHXBYjRkyBBVhcC9aSbWax8IFYbc94tiKfGIve7zBhb0/fv3i8q+3WdXzB4l sPsMofN20YMyj0RERIhqmzZtGjt2rOpLBzh38eLFqj9ixXo3cuRIZTXx0MB2 CcI1PhBPITBFUPzaJ6KZmZlUWfWXxSkpKcqXV6EXGcLs2bM/dq9Wtkg4efJk UlKS8i+8BMg0sJwpK/uQYGPMHiWw+wwRiNuF3oe5drjBP1R/FKMEG/89e/bs 3bsXaarpywVDj0MjVCB9RSQm/mBfvwTYEGknFl9smZH2a78x14/FmFWw+0wg we1iCcEAu88EEtwulhAMsPtMIMHtYgnBALvPBBLcLpYQDLD7TCDB7WIJwQC7 zwQS3C6WEAyw+0wgwe1iCcEAu88EEtwulhAMsPtMIMHtYgnBALvPBBLcLpYQ DLD7TCDB7WIJwcD/GIZhGOYPjNPr8O8Gul2Fv2dYQjDA7jOBNP3udBSWkEYC u88Q0vS701FYQhoJ7D5DSNPvTkdhCWkksPsMIU2/Ox2FJaSRwO4zhDT97nQU lpBGArvPENL0u9NRWEIaCew+Q0jT705HYQlpJLD7DCFNvzsdhSWkkcDuM4Q0 /e50FJaQRgK7zxDS9LvTUVhCGgnsPkNI0+9OR2EJaSSw+wwhTb87HYUlpJHA 7jOENP3udBSWkEYCu88Q0vS701FYQhoJhty3bdu2kSNHduzYsUOHDmFhYbt2 7QroULfI4MGDw8PDk5OTbWxTmn4PXPsXLlwwcdaVK1euXr2qs7JRCdeuXSso KDARlSFMSNDvvqFDhxYrVsylYM6cOTYObNv585//jCBDQkJsbNNov9+6dath w4Y1a9bcvn27zlPy8vLefvttnDVmzBg99SdNmtTQDU7UUz9AEtatW/fuu+8+ +eSTuOclS5Zs1KjRlClTfLe8f//+0aNHv/feexUrVrzjjjtwYo0aNeySkJub O378+Lp165YrV+7OO+9E4w888MA//vGPuLi4mzdv+jjRUJdZlKDTfRs3bhSm e+mll9q0aVO1atXFixfbOLBtJxjcl5iYSDft66+/1lP/4sWL1atXp1P+/e9/ +62PLqBOB9nZ2XouEQgJ8+bNK168uEtD586db9y44e2U++67T1W/bNmydkl4 4YUXtPEQderU+fXXX63otUuCTvd9+OGHaBnj+bvvvrNxMAcUB92XkJCAKbFZ s2YiW9DjPszJ77zzjuhHv+5LT0+/5557RH173adfwo4dO6hC6dKlP//8882b NyMpevnll6nws88+U9XH4tK9e3c6ij7q0aNHTExMSkrKtGnTunTpYpcEcl+V KlUGDRqEOWr+/PlYmkuUKEHX/fTTT03rtVGCTve99tpruBDGho0jOdA46L6/ /e1vqilRj/v69euHmnfddZce9x06dOjhhx9WXsJe9+mX0LVrVxy9++67MRuI wrNnzyIZQ3n58uUxVpX1ly1bRg3WqlXr8OHDemI2ISE0NBRbftWlcdPIgE89 9ZSqvqEus0uCX/chs42Ojn7ooYdwrdq1a0ff5ptvvhF1jhw5EhUV1bNnT2T7 7du3Hzly5L59+1TtYIbEWTNnzsS/Dx48OHHiRIyuli1bYrbMysqiOqdPn46P j+/bty/a6dSpE+aT8+fPq9rZu3cvptaIiIiOHTtiNsCiHBYWtmjRIu3Pifpw n56Arbhv3Lhx/3HzwQcf6HTf9OnTqSZU00jw4T6M7b///e+oU6lSpQkTJgTC fTolXLp06S9/+QvNzN4UYUsoCmEH7FxQWKZMGajQE7BpCR5p0aIFRYWhpSzX 32U2SvDrvrlz57o8gYmaKmDJLlWqlOooRv7UqVOV7QwZMoQOwW7kCwG6b+vW rdhaPvvss6p2mjRporLVq6++6jGeJ554AgbX4z6dAVtxn0Dsl32778svv6SE Jzw8vPD2POzNfdeuXXv99ddd7kwPE29sbGwg3KdTQkZGBh0dP3686hDmbTqE rheFy5cvp8IFCxboj0GFFfch/8TVsVm+fPmyxwp+u8xGCX7dh4GBAU976pIl S756GxqrwpsYCb179x47dmyfPn1QjQpTU1O17iNQp169ehUqVKCPyAfowRT+ W7VqVewa7r33XjoUFxendR+81rRpU2zqsfY988wzVBOt5efn+3af/oCLzH3Y SlM61Lp1a8qUfLsPizWOYr+PkY+Pzrpv5cqVdDQtLU17FOkoDmGLJEqwLUIJ ppoLFy4cPXp0zZo1WOshAVfx9nzGugQBLkH39rHHHvNWx2+X2ShB576PbILx oCzMy8t79NFHXe7sNzc3V5RjQi5btizKa9asqXXf448/jtVHpJTt2rWjckxH 2EGIdqCFLA+XKS+Kc7dt26YKD8kqNYJbIQq17jMUsEdsd9+JEyfKlStHlxaz sQ/3DRs2jO5VUlISlTjrPmwl6KjH5/M0rbVq1UqUvPnmmxQ//UMJ9mKJiYmB kCAQcy92hd7q+O0yGyVYcd+IESNc7u029nGq+siiKcKff/6ZSoT7MN6UNTdt 2kTlgwYNUjVCj3oqV67sNzwMPGoE+Y8o1LrPUMAesXfoXrx4sVq1ai73Un7y 5ElR7s19CxcupNZGjx4tCp113/Dhw+ko8kztURKCfhQltF0lsHxA+PPPP087 R5c780lJSbFdAnHgwAHKMfDfY8eOeavm1302SrDiPtqfYi1bqmHgwIEUjNiL Cfep9nE5OTlUjlldddG2bdu63CmiqhzrJpY/+KVNmzZ169atUqUKrVxg8ODB oprWfYYCDrT7bt682axZM5f7W+B9+/YpD3l035YtW+j7BeTbynJn3Yc508fV y5cvr3IffUGGLpg1a9alS5eo8OrVqxMnTqR27r//fkyA9koodOcYYpuzZMkS HzX9us9GCVbcV6NGDZc/MA/4dh/i9OY+SrBLlSqlLMzMzBQbPS2+3Wco4EC7 Lz09nQ4hhyz4LTSZIGGjj/RuRoMGDVzuVylOnTqlrDxlyhRqB7kfPorx4Lvf bZEAsP2no9i9ao/S06233nqLPl6/fp0eLmG3rq0cHh5OTa1evdpeCcgrxII1 atQo35V967VXghX3wf4ofPDBB9/yjtijeXPfmTNnvLmPvkhSum/z5s3ieWnV qlXhrKioKGz8sS7ocZ+hgAPtPhGzX+h7tDfeeENPZZhUT7/bIqFQ8WbIN998 oz1Ky0SnTp1ECa2GHoNEC9QUslkbJRw9elQ8Sx86dKjf+n7XPhslWHFf7dq1 Xe7XCfye/otN7hNPV6ZPn66qTC9c+XafoYA94oj7ULNQt/tQTU+/2yIBiG27 9vH7Tz/9RIeUL5Y0bNjQ5enLbvDDDz9Q/X79+tkl4fvvv6eHWhgeft87Jfy6 z0YJVtyHDYjL/RADeze/LdjiPnp96Omnn9a2r8d9hgL2iI1D98aNGye9QA9m W7RoQR/pOTZ2ux4rjx8/ni6BJRIfVV8ie+t3WyQUui1GXxWpdqMA2ys6cd68 eaKQXtC66667tDuj9evXU/2ZM2faImHDhg1//etf0WDx4sXj4+P91if8us9G CVbcJ57ftm7dWnsKbBUdHS0+2uI+WvRLly599uxZZU0xA/t2n6GAPWLv0PWG 33ddlDj71AU0btyYOiU/P18U3rp1q1GjRi73A8aLFy+KcmyrqbUOHTqo2qHv wV1etpBGJcTFxdG3jdhoKF+28YtfvTZKsOI+QC9duNxpMMI+ffo0xjAypQkT JtAp4ns9W9zXvHlzqoxDmNmQ0icnJ2NbId7z9+0+QwFbcR/G2zk3oqeSkpKo RDkUvREM7tMvAeVUoU6dOnv27IHv8vLycNupUPvWcdOmTekQMlJ6RnThwoWw sDAqxAC2LgGbd9dt0LNfeUK1UTXUZXZJsOi+rKwsJMBCKZIQ8ZIwYa/7YBNV +4T48xa/7tMfsBX3PfHEE9ogiUqVKvk9PRjcp1/C9evX33//fXH0/vvvV9bM zc1VtXzo0CHx7VixYsXKli1LuavLvafAeLAuATOzt+C9qTDUZXZJ0Ok+tImW 27Vrpz2E7HfAgAHiZS0CwdSvX3/GjBmimnhJQ+U+5JB0ymeffaZqmRLsMmXK KAsTEhIeeeQRcSE0iFUsIyODngPD46Im3Z/Q0FBzAXtE59ClPzL1yHPPPafz dNxtvzUL3SkWtYwhoad+ICRgvYuIiBB/v+Nyz4dNmjTx9hLysWPHRBpDYA5E T/n9ukSnBLET8UHlypVN67VLgk736SEnJyc1NXXFihU7d+5ERmdLmx7B/gKZ POZ8pJ2Y8E23YyJgo5umICRwEuDBAwcOJCYmYjK8cuWK3/oFBQXp6emYTnft 2qX//5OhMJj+f10sSrDRfX8EgqffTcMSggF2nwmk6Xeno7CENBLYfYaQpt+d jsIS0khg9xlCmn53OgpLSCOB3WcIafrd6SgsIY0Edp8hpOl3p6OwhDQS2H2G kKbfnY7CEtJIYPcZQpp+dzoKS0gjgd1nCGn63ekoLCGNBHafIaTpd6ejsIQ0 Eth9hpCm352OwhLSSGD3GUKafnc6CktII4FhGIZh/pg4ndD9bqDb5XTaYgmW EAyw+0wgTb87HYUlpJHA7jOENP3udBSWkEYCu88Q0vS701FYQhoJ7D5DSNPv TkdhCWkksPsMIU2/Ox2FJaSRwO4zhDT97nQUlpBGArvPENL0u9NRWEIaCew+ Q0jT705HYQlpJLD7DCFNvzsdhSWkkcDuM4Q0/e50FJaQRgK7zxDS9LvTUVhC GgnsPkNI0+9OR2EJaSSw+wwhTb87HYUlpJHA7jOENP3udBSWkEZCcLovLS0t PDw8MjKyoKDA6Vh+Q1D1++XLl3/99VejZwWVBHMEVMKtW7fQ0frrnz9/Xs8P 9qkIZveNGDGCfhPt1KlTTsfyG4z2O7qyYcOGNWvW3L59u/Zoenp6Q398+OGH qrOOHDnStm3bihUr3nHHHcWLF69cuXKfPn0wTRnqd2clCBISEtCy9vdt7ZVA 5OXlvf3224hnzJgx2qOQGR0dXatWLfrZx9KlS9evX/+rr77yWBOrQ48ePapV q0a/C+9y/2ZovXr1vvjii5s3b+qXwO4zhNF+T0xMJCEefwRcHPXB448/rjwl NjZW+eOwgjJlymzdulV/vzsoQXDhwgVYDxVeeeUV/fGYkFDo/mHo6tWrUzza HwX++eef69Sp4zH4jz76SFV5z549PsR2795dvwR2nyF09jum9NGjRzdr1ox+ Udfb0N21a9fH3qGf6FUOXaw+9DvXDz744JQpUzIzMzdv3ty5c2f62fpKlSrp SUSdlVDo/tnl6dOnh4SElC9fnloOtPuwHr3zzjvCIFr3tW7dmg5BL9a7rKys +fPni9+SXrBggbIyuQ+3pWXLlmPHjl21atWXX34ZERHxpz/9ieonJSXplMDu M4TOfqcfXlficej6ID8/n353HuNBFFatWtXl/lHm/fv3KysPGTKErjJy5Eid /e6UhELFD80LAu2+fv36udy/7OzRfcnJyVSu+qnu06dPP/zwwy53XqFM7HNy crp16/bDDz+orrJy5UpqB0mpTgk63Tdnzhxkxcht8O9ly5Z98sknTZo0wXYD M+TZs2epzo4dO5BRv/fee7jbkZGR3333naqRvXv3oh3MEh07dsRchO1AWFjY okWLVL/k/otP92HXExUV1bNnz0aNGrVv3x7jbd++fSa9ZByd/T5u3Lj/uPng gw/MDV30oMv9a/KYh6kEA4DWONw9VeWrV6/SOvLYY4/p7HdHJBC7d+/+z23K lSsXaPdhnaX4Y2JiaEpRuS80NJQqHD16VHUuTqFDs2bN8nuha9euUeXmzZvr lKDTfXfffTeahbNef/111cQFEyFtho9wn5XlJUqUwKyibOTVV191eQJLPJyr rOnNfTB7qVKlVKdjgp06daod3vKP0Vl348aNJoYuLkETddu2bUXhunXrqKlJ kyZpT+nUqZO3IaRt3CkJWurWrRtQ9yEnpMw5PDy88PaCrnJfgwYNXO5kXnt6 bm4uadfOeFoyMjKo8uDBg3VKMOQ+Ai578cUXYSWR6IonP1ip69WrJxLmZ599 9vz586IRch+ONm3aFLsV2PaZZ56hmhUqVECiImp6dN/cuXOpsHTp0r1790bK jcW3ZMmSVJiammqv0TxSNEO3VatWLneGefjwYVG4fv16aurzzz/XnjJ8+HA6 +u233/pu3EEJWgLqPmRfWALQPrZ1t27dKvTiPnregjmc6ijBhhEScPTNN9/0 cSHkqNjrUfqBwYmPOiUYdd9HH32E3I8Kt23bJgwI+yDvpXJkkmKTu2XLFtEI Vi6comq5b9++VHPNmjWiUOu+vLy8Rx99FCW1atXCjCRqonPLli2L8po1a5ry kzGKYOjCPnRKr169lOXIPKn8X//6l/as2bNn09HVq1f7bt9BCVoC574TJ05Q WouBcfnyZSr06D4xArGF0bYjGvF4FSwBL730Eu0IQMOGDbG90i/BkPtwM1Xl jRs3drm/7FCliKtWraJ4Fi5c6Lvl7Oxsqjl+/HhRqHUflSCMgwcPqlrADgWH cAeQAPsVYpEiGLqYXuiWnjx5UnWoYsWK1Bq8piy/cOECkgE6hARVT787JUFF gNx38eLFatWqudyJljIGj+6Lj48ngVWqVFF9bZqZmUkPXmrXru3xQmJT7HI/ 2p02bZrO9x9MuC8iIkJV3rVrV5Tfd999qnJMIxQSNinKciSiWP7glzZt2uDO Qy+tXC53tiyqad1HMiFwqYaBAwdSZdXmMRAEeuguX76c6kOU9mhaWpp4cIcR i0k7JCQEe3zKrwjMTnr63SkJKgLhPqSLzZo1Q7MPPPCAajnz6L7r169jzaKY cUr79u0xzjt06IDtlbir77//vsdrLVu2bMCAAXDB888/TzXxD+R+OiVYdB89 y9W6D9kpBTNx4kRRiJlEbPS0+HZfjRo1vJ0oSElJMWkq3QR06GIYYKeMyg89 9BCmKY914uLi6DG+kmLFitH2BAnAlStX9PS7gxKUBMJ96enpFDD2YgW/haZ6 7Enpo3gvBX755z//qR1RlHaC/v37+40qKiqKKut5RGOL+8LCwjy6LycnR+W+ zZs3i2FTtWpVTNqIFltFbAz1uA+rnsv9YOot72g3lbYT0KEbHR1NlZGE+6h2 5swZVOjSpQs21507dx49evSPP/5ITzkeeeQRnf3urARBINwnRpRf4FPlievX r8d4RlaGnTWGemJi4q5du6gmdOkJjNJdeFynhCJzn9jbTp8+XVWZNq2+3YfE 2+XOzA2ZxXYCN3SxVRFvhly9elX/JQD2GmXKlMG5mIL8Vg4qCc66DzV9X2jK lClUE5saPYGJbaDf5LOI3ffCCy/g49NPP61tXI/7MMm73E9d0LJ+s9hO4Ibu 0KFDqeacOXP0t0+MGjVK53AqDKT7TEgIhPtu3Lhx0gv02LxFixb0ETV9XAWp KU0mb7zxhs7A6HETcjy/71oXsfvEtyHi3Rhi06ZNVNO3+8SXfa1bt9aGh2QM uYFfFdYJ0NDFSKC0vFKlSr6HhMdL4P7j3Pr16+upH1QSAv1tuwqPT108cunS JeSfJBybJuWhVatWHTp0SHsKqtELJ9hC+m2/iN3XvHlzKunateuGDRuOHj2a nJzcqVMn8V2Jb/cB8ZpNgwYNMCROnz4N02G2nzBhQoUKFVCu/GY/QOjsd+Rg 59ykpKRQzElJSVSCQ9r63bt3p2rLli3z3TL2JsiCkNdhZsa2pVevXnQDS5Qo gW2v38AKdQ/dwEm4fv36udu89tprOKV69eqiRI9zbXcfvBYfH5+fn4+rZ2dn L168mEaUy/1+l6pyy5YtixUrhvLly5ejMk45fvz4uHHjxDsnS5cu1SmhyNwH m4in5UroYZ0e92VlZT311FPiRMwzqgaDx33ibR8tWBq0HUFCXn75Zb8tizfK lFSuXNnvFw2qfndQgkhjPJKQkGCXBC3e3CfeKFOCATZs2DDtCzBwn7KaWD6I bt266YnEkPvuvfdel/u5q6o8PDzc5f5eVVUu5EyePFkU4sZSIi3CxiqWkZFB b+INGTJE1BQbGdUX6Pg4YMAA8XaZuEtIumbMmGHYS8bR2e9PPvmkt9H13HPP qSq3a9eODmFd89uy0n2YuF588cWQkBCPi5HvfndQQlxcnLeWQWJiol0SvIlS /S1DocZ92B81btx47dq1HhtZt24dklLxlpcAy+WKFSt0RmLIfXaBxR3Bx8bG Iu3Eqm26HaytqampELtz506koDZG6BvT/W4XSAbWrFmDJDAzM9Poo1HCcQnW sV3CzZs3cT8xnFavXn3ixAk9pyB/xiDctGkT0lTspHSeJXDEfb93eOgGA9JI YPcZQpp+dzoKS0gjgd1nCGn63ekoLCGNBHafIaTpd6ejsIQ0Eth9hpCm352O whLSSGD3GUKafnc6CktII4HdZwhp+t3pKCwhjQR2nyGk6Xeno7CENBLYfYaQ pt+djsIS0khg9xlCmn53OgpLSCOB3WcIafrd6SgsIY0Edp8hpOl3p6OwhDQS GIZhGOaPhtMrMMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMw DMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwDMMwzvB/ kbYMWw== "], {{0, 182}, {298, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{149., Automatic}, ImageSizeRaw->{298, 182}, PlotRange->{{0, 298}, {0, 182}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.7786929651580687`*^9, 3.7787657583805943`*^9, 3.779622999990839*^9, 3.780051240488525*^9, 3.780052564741315*^9, 3.780054183043723*^9}, CellLabel->"Out[2]=", CellID->154631042] }, Open ]], Cell["Find how many males and females survived:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779626582675748*^9, 3.7796266076287527`*^9}}, CellID->318143557], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", RowBox[{"titanic", "[", RowBox[{"All", ",", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], "]"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778692930984191*^9, 3.778692976433198*^9}, { 3.7786941708245373`*^9, 3.778694220582674*^9}}, CellLabel->"In[3]:=", CellID->370505130], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnQt0TVf+xy+qVUO9SrVVRa0ZhDLa0VYHrSV9zdJ2FZ0ZbfUlaVEJ8Wip Z6IS8ahEEI8SjyAiamiqJEwR9UhSSYqoRZhoEIng1qjp0Pl///c39jpzzn2c c+659+T0/D5rTZfs/Tv77P377e/ev33OnXVavxP5SnhNh8Mxqg7+88rbHz4d FfX2uH4N8ceAiFFD3osIG/x8xOiw98KiHn+nFgq/xP9ur+Fw/P+//8MwjITv GYZhGMYrTpthz1Hrwz6+YkWY3QtrYB9fsSLM7oU1sI+vWBFm98Ia2MdXrAiz e2EN7OMrVoTZvbAG9vEVK8LsXlgD+/iKFWF2L6yBfXzFijC7F9bAPr5iRZjd C2tgH1+xIszuhTWwj69YEWb3whrYx1esCLN7YQ3s4ytWhNm9sAb28RUrwuxe WAP7+IoVYXYvrIF9fMWKMLsX1sA+vmJFmN0La2AfX7Ei1Fju27dvxYoVs1ws WLCgqKgowF3ziyVLlixatOjrr782sM1qOEMQFAxz8eLFFRUVBjbLivBplpyc HP6/fPXVV0Honj4uX75MnVy2bJmBzVbDGbJ+/Xoa6Q8//GBgs6wI7zY5OTlC CJMnT8YGMWXKlF27dgWnhzpgRfgJK8K7zdy5c+HzIUOGWMU/rAg/YUV4t5k4 cSJ8PnPmzOB0yX9YEX7CivBSm5GRgd0BPp8wYULGLfLy8qQ26enpCQkJEE58 fDxO34WFhbJ2CgoKcNXnn39+6dKl7777bs2aNbGxsdHR0atXrz506BDZlJWV /e1vf0tKSkI7OLwj1pWVlcp2Nm7ciLMkDHD5jBkzFi5ciKvOnz8vNfOuCDUd 1uErui/GiJHm5+dfvHhx69atyDBxl8TExMzMzPLycjLbv3//ypUrP/nkk6lT p2Is3377rb5hOr0qQvcwnawIz6Petm1buDuWL1/udE2AzZs3k15kYKpL21m7 di2VI7Lvvfee1BJ/YobgVDJixAhZIwil7BHKpEmT3PZn2LBhubm5wsyTItR3 WIevAFRAraGf48aNk90iLi7u9OnTUIesHB7IysrSMUynB0X4OUwnK8LzqA8c OIDFnJw5fPjw2FtgxUMt1kOqwmRetWrVli1b8N+IiAgqlB69hSKIyMhIrHsf ffSRcm7gzD5t2jQRTURW2h+aKmPGjMHRBqpcsmSJmHhoE7sMmXlShPoO6/CV U6IIweTJk7EXDB06VFaODsADGAj9OXLkSOmGqHKYTg+K8HOYTlaEr1EjXvAk 9l9pYWlpKZYslGNbP3funLScVnsEVBQKRYwaNWrPnj1XrlxxuubtvHnzxCRZ unSpaAepFBViOklvunfv3uLiYln3MO3JGLVU4lYRmjqsz1dSRWA3FLP0yJEj 77//PpWPHTsWeyJ5ADkk8iIqlyaiKofpdKcI/4fpZEXoUkRqairF4uTJkzJ7 5MCyMAlFIC5SS+TbVK7czbG6onz06NFqhkCNbNiwgUrcKkJThz3dSKUioG5Z 1fTp06lKlgdielO5LHFSM0ynO0X4P0wnK0KXIubMmYNCLH3bFGB5JM/jhEjG QhGys+GpU6eoPC0tTXZTyreRb8jKcT7dt28fFIQ5hlxCJAMAB3aycasITR3W 5yuhCBxjZVU4JlMV9gVp+bFjx6h806ZNWofpdKcI/4fpZEXoUoTy5KgkJyeH jD0pAikxla9bt052U3pLjgOFtPDgwYNIpD3dzrsiNHVYn6+8KALHAbeKKCkp USpC5TCd7hTh/zCdrAhdiqBVC2tRgmeOHj1Kxp4UcfbsWSpXKoIWVakisGaK 51TIqTAxsrOzkX6LQ4d3RWjqsD5feVFESkqKW0WIXVIoQv0wne4U4f8wnawI XYqYOnVquLpjmtMgRYjEIzMzk06mxIULF9QoQlOH3RIcRagfptOdIvwfppMV oUsRIik9ceKEz7sYogicslESFRWFCS+1VKkITR12S3AUoX6YTneK8H+YTlaE LkVs376dPD9t2rSqqirZJefOnUtPTxflhiiCHh7irC1rZMeOHWoUoanDbgmO ItQP0+lOEf4P08mK0KUIzLqYmBhy/vjx43ft2oVDIuKLU1tqaurw4cOl898Q RcTHx5Pxp59+itsdPnwY0Z8xY0b4LbwrQlOH9fnKEEWoH6bTnSL8H6aTFaFL EeD48eNjx44N94yxiigoKJD9AkSGd0Vo6rA+XxmiCPXDdHp4Z+3nMJ2sCF+j psw2KSlJWVVZWYnZLntUiIBiTcPKJjJhChzKxa/dCISGLpG+dSKWLl0a7vrp iLRw9+7dJE8BbnTo0CGaQuKlBg6k9I5YOTNVdlifr5CNUE+ULxxXrVoV7noE JFNEaWkp9UH6exWVwwQZGRlkIH097ecwnawII0aN1b6wsDA3NxcHOiyV/jfo iYqKiqKiIiQDeXl5sjfgmtDR4WDOEBOH6WRF2G/U+rCPr1gRZvfCGtjHV6wI s3thDezjK1aE2b2wBvbxFSvC7F5YA/v4ihVhdi+sgX18xYowuxfWwD6+YkWY 3QtrYB9fsSLM7oU1sI+vWBFm98Ia2MdXrAize2EN7OOr7xmGYRhGBWbvV8GG Rv0fRgX28RUrwuwIWAP7+IoVYXYErIF9fMWKMDsC1sA+vmJFmB0Ba2AfX7Ei zI6ANbCPr1gRZkfAGtjHV6wIsyNgDezjK1aE2RGwBvbxFSvC7AhYA/v4ihVh dgSsgX18xYowOwLWwD6+YkWYHQFrYB9fsSLMjoA1sI+vWBFmR8Aa2MdXpiti 0qRJY8aMkX3NPDgENMr/+te/Ll26FKDGg49uX/3yyy///Oc/vdvcvHmzrKzs p59+UtlmVVXVzz//rKMzatCkiPfff/9pr8g+Sq6GevXqORyOESNG6JrUfqE1 yghuaGhot27dDh486NagtLR09uzZTz31VIsWLWrWrIlxNWjQ4A9/+ENKSgqC LjMODw8P9cX27dv1h9ZQNPnqxo0bqampkZGRPXr0qF+/PvxQp06d9PR0mRlm 9fz580NCQm6//XbY1KhR47777nv33XdPnz6ttNywYcOgQYM6duxIE6ZWrVqt W7d+8803S0pKDBieBE2K+P3vf+/wysCBA7VOSwspYv369TTMr776yq3Bww8/ 7MkzPXv2lC1rHTp08O5M8Nlnn/kVXeNQ76vy8nKsjcqxLF68WGoG/3fp0kXU 3nbbbeLfEEh2drbUeOPGjZ5cBOMtW7YYPlJNisC694YHFixYoHVaVn9FpKWl xcXF9e3bF+uSGkV06tRp4sSJa9euXbly5YABA2iRBOPGjZMa04c13YKrLKqI vLy8+++/nzrfvXv36OjojIwMOBDxlTmtf//+ZDZs2LDdu3f/+9//LiwsjImJ qVu3LgobN25cUVEhjEkR2GiwTSQmJiLHhofF+gPjs2fPGjtSTYro3LmzgdOy +iuiZcuWsnXJkyKioqIQLCRX0sITJ06QKNq0aaMyKDhY0Y0wwVReEmjU+AoD x9xAt++4446kpCSZH6TgZEGbwquvviqrSk5OprFDBaLwm2++GTt27Llz52TG Q4YMIWMsPhoH5JFAKALqxkaGM8UHH3zw5z//Gasrtg8siUeOHFEae1LEtm3b pkyZggv79euHjDQhIeHYsWPKy0+dOrVw4UKsM88++ywWkOnTpx8+fNjnQAiV ipg1a9Z4F3/961+9K8ITL7/8Ml145coVn8b/+Mc/sBjCGAPXdJeAosZXIrdB 6L1b5ubmkiW8KqvKz8+nqhkzZvjsVUFBARljLfJprJJAKAJycJvyIeuQfVvN 6U4RmBI4kSkvx8lr1KhR0muxHTdt2lRmhgbnzZtnoCIEX3/9tT5FUBaE/l+7 ds2nMXRNvsIKoOkuAcWnr7Aj0LmgXbt2SIG8t3b16lVSffv27WU+Wb16NTnZ 0+MLKVhjyfjDDz9UMwo1BE4ROPI88cQTWFeRGL/wwgt33nkndV42XZWK6NOn D1ni7PnWW2+FhYWhHXIgNllhtnz5cjJr1qwZhBYfHx8REYGUkgqzsrKqiSJu 3LhBeRcSbJ/GWPToIdXgwYPV3yII+PRVWVkZOQfpzU8//YRdACepRYsWYTKU lpYq7TElyB7HrqKiIiqEOv74xz+isEWLFl6SLgFO69TIkiVL9I1LiQ5FYG73 cMfnn38uZlpqaioOO9JrMWpaz3v16uVFEUePHqUxYnpLzUpKSpCDQVz0Jxq/ 9957Yfbkk09KP94Hs/vuuw/l3bp1qyaKEMpVs7Mj93O4jpBnzpxRf4sg4NNX SPVpmPC8bOPGkeH111+vrKyU2mOAsBQ2oaGhK1as6N27N/794IMP4pTts0vX r1//7W9/S+66cOGCvyO8hYFPX91+4lYKFnyYNWnSxIsiMjMzqTXvrzZQS9uQ 8nCBtJ9SFBxnvPcnCIooLi6mYzX+63OSY1+j9kePHq2+V8HBp6+wI0gnQ4MG DTp27NimTRtRgjUTc1h6CUJAy5qUunXrIm1W0yVso3TJyJEj/Rrb/6JDEQ0b NnzbHdnZ2VLjkydPQiPIeZ5//vmuXbu2atWKHqxhxfCiiPLycjK7++67cUzG wdltT+iQ+8ADD2QomDBhAjkKG7e5ikAi8dBDD9El69at826MJEE83L548aL6 XgUHn76Ki4ujkeIchNxPlGPTR/SpCgmVKIdzkAyj8He/+93cuXOlJ0ccLnw+ ZBO3w+FF/ctuNQTiHHH58mWMHau0263EuyLAa6+9JrXHpOrXr9/GjRulVz36 6KNuG5eCDNZERZw/fx6xJvvY2Fif9uJE6fNBjSn49NXkyZOp/1gJZVWY/FhF Ha6EikrgfEpuH374YZHwoH0kVzRtMEl27drl6V5QEN0LexAa929kcgKhiFde eYU6jBMHpve0adOwpSIloKzJpyIgKAy5UaNGshn+2GOP7du3j2ywOzhcu9Wf PHPgwAGzFIF9v127dmQ8depUny0jnUDyDOPmzZv7/BWQKfj0FU4BNN6cnBxl LY4JDlfCT4+hZs+eTca4SmYpDst9+vRxe6MZM2aQQevWrZFC6ByPZwxXxA8/ /EBPS7CMHz9+XFr18ccfq1EEgaVj69at0dHRL7744l133UVOwH5KtbTJdurU yWefvRAgRRw5cqRFixYO11kmMTFRTct09gHz589X359g4tNXe/fupSG4fVk2 cOBAqiW9iz+RJMssIRkKNxYHWRUSy6ioKLoQoTfwPbUUwxUhTlifffaZrEqT IqRg7CJNKikpQQmdqnCyPn36tM9ueyIQivj73/9Ou1vt2rWRCKlptqqqii5B fhi4n3T6iU9fYW6TcxBKZW3Pnj0drnMf/SkSY+lPNQS0vWLTlBZiGxVvSJ98 8snA/a7YcEWIXW/mzJnScoy9b9++PhWBvCg9PV3ZLKkJFBcXOyUvI3DEUBrj ZJqcnOxzOIYrIiUlhX7GiXRux44dKpsVv9lYs2aN+s4EGTW+euSRRxyun3DI LIuKiugnYS+99BKVzJkzh4aMf8gaweqHFlCF3FsUYvJABXTJgAEDjD1KyzBc Efv376eet2rVatmyZVjS8/LykpKSxIM474rAzkKLwIYNG+hBE46oSJ/QGspb tmyJUwZZ9urVSyScmKuVlZUQwp49e+BkesJz5coVQxRx9erVyy7Eu3holkpQ JcxwbHHcAn3Y6g6kFrLGxW82unTpouadlFmo8RVCT+diLPJY2agQEWnbti1t 6OJN3IkTJyjuGPuqVatEC9jxaeajnczMTFEuXufBS19++aVb3yoTMH9GauzJ GkuBwzNqFCFo2rQpnUoA/oGUTFxYWFgofdyNWukvig1UBJ153YJzjTBDvuRl 1Ep74o033qAqBNqQgAYIlb4aOnSoGGzjxo3FARAzPCEhQWopnq0BSAb5A7RA uwOYOHGi1Fisfl5IS0szcKQqFUHbInTh3ezMmTN/+ctfpL1t1qxZTEzMuHHj HK61QmpMTsOJif7EYXzkyJH0aE4KjtLIVWQ3wmaKbEr8coOANHr37q3md+kq o0zbk1s6dOggzHbt2uUzaiEhIdKWMVjSOyJuSDQDh/oMEwltkyZNpKPGOoCd QmmZk5Pz2GOPyVyE/eWLL76QWbr9P1zIUP4/kvShSRGaOHz48Lp161JTU5HS 4Byk9XKkTLgQwsfa6+k9nQC7bVZW1qZNm/Lz85E+qbyF1nOEndHkq5s3b0Ls CAeSGZ/vC7B+7ty5EzrCLnny5Enl/9kwyAROEdUfVoR67OMrVoTZEbAG9vEV K8LsCFgD+/iKFWF2BKyBfXzFijA7AtbAPr5iRZgdAWtgH1+xIsyOgDWwj69Y EWZHwBrYx1esCLMjYA3s4ytWhNkRsAb28RUrwuwIWAP7+IoVYXYErIF9fPU9 wzAMw6jA7Cwm2NCozd6lrYF9fMWKMDsC1sA+vmJFmB0Ba2AfX7EizI6ANbCP r1gRZkfAGtjHV6wIsyNgDezjK1aE2RGwBvbxFSvC7AhYA/v4ihVhdgSsgX18 xYowOwLWwD6+YkWYHQFrYB9fsSLMjoA1sI+vWBFmR8Aa2MdXrAizI2AN7OMr VoTZEbAG9vEVK0K9r27cuFFZWanyuyeajMG1a9eq7Se3/hMsRcBdpn+YUo0i Tpw48bRqXn755WDOan9QE+WLFy8uXbr0hRdeaN26NX2xpXbt2q1atRozZozy Q+SajIlTp0699tprbdu2rVGjBoxDQkIiIiIC95E13WhVBOZ2aGhot27dDh48 6N0SS0dqampkZGSPHj3q16/vcH14yPvHINLS0tByWFiY+v6oR40iCgoKfH7P QtCoUaNgzmp/UBNl8SViJU2aNDly5IhuY7Bs2bLf/OY3SuN77rlHfLWqmqBV EevXr6exeP+ua3l5uduvpSxevNjTJT/++CPkAJvHH39cwwBUo0YRWMfeUIAF Db269957ZeVDhw4N5qz2B/WKwDo/evTo5cuXZ2dn479PPPEEBU72zSBNxlg8 aR9p2LBhYmJiXl7e7t27Bw8eTJ9ya9++fbVKolQqAqt3XFxc37596VOM3hWB Id9///1k1r179+jo6IyMDLQwYsQI5VVIVObPn48q7L90iYmKcEuzZs3QK2QI AZquQUBNlGNjY1euXEnfJRdgrorPRUk/CKjJmD7qh4Xl6NGjUvspU6aQ8fTp 0/XH1WhUKqJly5ay1d6TIpBWde7c2eH6tmlSUpLPAxf2U1nL1lJEbm5ucnIy 9j768/z58/AM/tywYQP+rKqqWrRoEQwOHToku7C4uDjZxdmzZ2VV2KoWLlw4 bNiwZ599dtCgQZgwhw8f1tRnGf6cFsePH09x+fbbb3UY46RAe8Hbb78tM75+ /Totg1g/9fUtEKj01axZs8a7EN+e9qSIjRs3ksEnn3yipgOYKuNv0aJFC8sp Qix0Z86cCQ8PF98bxZKI2tLSUvpz9uzZsgvFJyyxpUrLsZk2bdpUtkrUq1dv 3rx5mrotxR9FPPfcc7S+qfm2stJ4x44dNIS5c+cq7d955x2q9XQeDz5afeX9 29/YEbp06eJwfYdRtqWq4amnnrKuImRfHdWnCPE9d9x0+PDh8fHxERER4hOl WVlZGqXwX3Qo4ubNm/n5+bg73TomJkaf8c6dO6lw5syZygthSbXffPONpu4F DmMVUVZWRrVjx47FKoGMYu3atUgbtmzZgrnhs3FLK8LhOjQhUTxw4AByhs2b Nzs1KgLpE87vDtdn33GhsCwpKSG5devWTVPPBZqijG706dNHyLBOnTqYt56y X5/GyJqoqn///srLly5dSrXV5yPXxioCSqdaxE629d92222vv/56ZWWll8Yt rYjExETll9Y1KQJ5psP1Fexjx47JjJG1OlxfD6+oqNDUeUJTlGEpDdyrr75a WFjoj3Hbtm2pFvNfWv7jjz9iH6QqJFdaAxogjFUEdgSpfxo0aNCxY8c2bdqI kh49euA85alxSyvi8uXLylpNiqAz2gMPPJChYMKECWSMbVdT5wlNUa6qqpo0 aVJUVFS/fv3q1q2Lm9aqVSs5OVm3cXZ2Nj19peBGRkaOGDHixRdfpLdUBBYB fwNsEMYqIi4ujmoHDRpUUFAgyo8ePdq1a1eqQkLlqXGbK+LRRx91+AL5p6bO E7pP1tjTQ0JCHK6d6/jx47qNU1JS6tWrJxsLtEPverD3qTm2BwdjFTF58mSq PXnypKwKR4yGDRs6XAmVp8ZtrgjsDg7Xa6w/eQaHFE2dJ/x51oQDEfXTy9tV NcYXL16EE8LCwl566aXBgwdj8cQkoTd9zZs319e3QGCsIlasWEG1OTk5ytrQ 0FCH6/Dl6THUr1gRsbGxsiqlIpBS4s9OnTpp6p4a/FGEOCkg1THW+Oeff77n nntgDKXr61sgMFYRe/fupdqVK1cqawcOHEi1nn719+tTxPnz56n2o48+klUp FYGVk1KO06dPa+qhT/xRRFZWFvUzPj7eWGOsEmS8Z88efX0LBMYqory83MsS 0bNnT4fr5Oip8V+fIgA9mcT6Ly2sqKh49913ZYoQLyNwSlW2g6wDJ1ZNPRf4 jDKOAOvWrVPu3b/88sszzzxDvcIBWYexJzCR7rzzTlj27t1bYyQDi7GKAI88 8ojD9dZS1mxRURH9JgpppKfGf5WKoFwITJgw4bvvvsP8T0hIkD5/k76h69Wr FxX26dMHrsbcgxCwhM6ZM+ehhx5CufIBrxp8RrmwsBCNP/jgg7NmzcJGf+nS pWvXriH1pUQXdO3aVfweT5MxsXPnztzc3OvXr8MYlh988AH9tKN+/fo4GQUi 3LpRqYirV69edrFlyxYadXp6OpWgSmq5f/9+Gmy7du3ED30RU3oojZQA0pDa Y6m5fIvu3bvDBpoSJTdu3DB2pMFXRGZmpsMd4jeTUkVgsknFUrNmTfHckgio IjzRqFGj4uJifcaE+LWGlJCQkOrz0FWgUhFYEDx5oH379jLjoUOHilrkDHfd dRf9G0rB8igzFqmCW9LS0owdqQ5FNG/e3OE6/bmtjY6OpqF5UgRISkqSPnvE wjh16lQctejP/Px8qTESqo8//li8BSYgDWQXCxYs0NRzgc8owyYmJoZ+gSO7 b1hYGLqk25iQKqJ27dqdO3dGXi1bS6sJKhXRqlUrT5O2Q4cOSnvM8yZNmsiE 4/YAlZKS4kUR69evN2CQLnQrwhDKysq2b9+OwSJJ8KIdKThf46C6adMmSAbp kz93V58bo28FBQWbN2/OyMjAbu79NYF64wsXLmzbtg15BTZEL69oqwP+PIXw zs2bN48fP46Abt26FfMhELfQhLmKMJfARfnXh318xYowOwLWwD6+YkWYHQFr YB9fsSLMjoA1sI+vWBFmR8Aa2MdXrAizI2AN7OMrVoTZEbAG9vEVK8LsCFgD +/iKFWF2BKyBfXzFijA7AtbAPr5iRZgdAWtgH1+xIsyOgDWwj6++ZxiGYRiv mL1TMQzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzD MAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMIxd+D+6oxEq "], {{0, 182}, {262, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{131., Automatic}, ImageSizeRaw->{262, 182}, PlotRange->{{0, 262}, {0, 182}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7786941715270557`*^9, 3.778694220992196*^9}, 3.778765760354615*^9, 3.779623000091201*^9, 3.78005124056415*^9, 3.7800525648281183`*^9, 3.7800541831283493`*^9}, CellLabel->"Out[3]=", CellID->98174840] }, Open ]], Cell["Find the aggregated ages of the class-sex breakdown:", "Text", TaggingRules->{}, CellChangeTimes->{{3.779626611249776*^9, 3.779626631681875*^9}, { 3.779626680282198*^9, 3.77962668859645*^9}}, CellID->884233369], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", RowBox[{"titanic", "[", RowBox[{"All", ",", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}]}], "]"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778692930984191*^9, 3.778692976433198*^9}, { 3.7786941708245373`*^9, 3.778694248775199*^9}, {3.7786943453494596`*^9, 3.778694358690228*^9}, {3.779626648738714*^9, 3.779626666066518*^9}}, CellLabel->"In[4]:=", CellID->895517891], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnQmcTuX7/x8qu68QEslalixZSlFKZV9SUiopfREV2YoijCVC0lgasowt kSWRNdvYyW7ytYexD4ayM7/P/7n+7tfpPM/ZnmXmTPN5v171Mve5zjn3Oee+ rs91n3Pf91OoRfuXW6X1eDydMuB/L7/76XMdO77b7ZV78cer7Tq1ad2u5X9r t+vcsnXLjpVb3IXCc/gvEvb/79+JhBBCCCGEEEIICQP/I4QQQgghhBBCSNi4 mJL5F1wCIa6F/kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJN CLGE/kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJNCLGE/kWI e6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJNCLGE/kWIe6BwE0Is oX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJNCLGE/kWIe0iFwr1u3bro6OjB XkaOHLljx44wVy0oxowZExUVtWLFiuSuCEnVuDBEwJHhGqNHjz5z5kxy14WQ JCW1Cfd3333X6p8sXLgwCaoXGBcuXJBKjhs3LrnrQlI1LgwR06dPF+84duxY cteFkCQlVQn36tWrlV737NkT3e1evXqtXLkyaWoYABRu4hJcGCIo3CTVkqqE +5tvvoGbt2nTJqVcLIWbuAQXhggKN0m1pCrh7tGjB9x80KBBSVOl4KFwE5fg whBB4SapllQi3Ng0c+ZM9LXh5t27d595h82bN2ttZsyYMWzYMOj7V199FR0d vX37dt1xtm3bhr1mz559/vz5nTt3Tp069csvv4yIiJg8efLWrVvFJi4u7uef fx4+fDiOM3jwYISXs2fP+h5n1qxZUVFRMMDuAwcOHDVqFPY6efKk1sxcuO1U mJCQYBki0FbhF/CO33//PT4+fsGCBSNHjkTL/Pbbb+fPn3/q1CkxW79+/cSJ E/v169e7d2+0/y1btuiOY9M1LpoKN12D/LtJJcK9aNGiVv4YP378RW/MmTt3 rsi6Diiy9jg//PCDlCOYtG7dWmuJPxGUVq5c+fHHH+sOguihG/j6xRdf+K3P Bx98sGnTJmVmJNz2K0xISLAMERBraYFo2926ddM1ywEDBhw+fBgiriuH1yxZ skR7HJuucdFAuOkaJDWQSoR7w4YN6BqL/3700Udf3gF9AWxFT0E2QXMnTZr0 yy+/4P/t2rWTQu3oNSXcQvv27dEj6Nq1q2846tWrV9++fVUAQTDR1keiU5cu Xb755hskD2PGjFGxDsdEn13MjITbfoUJCQn2hVvRs2dP9Kzbtm2rK0ejhdeg 8cufHTp00L6SsukaFw2Em65BUgOpRLgFhAg477Bhw7SFR44cQTKP8oiIiBMn TmjLpe+MGKIKlXB36tQpJiYmISHholdeIyMjVVz6/vvv1XG2bt0qhYhg2pOu WbPmjz/+0FUP6izG2ColfoXbUYUJCQmOhHvUqFFKTHfv3v3+++9L+SeffLJ+ /XrxmvPnzw8ePFjKtV+sbLrGRX/CTdcgqQQK95QpU8T9Dxw4oLOfNWuWLjIo 4UYo0Fr+/vvvUu77Og79DpR37tzZziXIQX766Scp8SvcjipMSEiwL9xIXHWb +vfvL5t0H4ygwlKue1vu9+w617joT7jpGiSVQOH++uuvUYhOwSIf0HEQZ9+2 bZsYK+HWDZU5dOiQlP/444+6k8p3vbZt2+rKT506tW7dOgg9wlq3bt3U2zww depUsfEr3I4qTEhIsC/c0dHRuk1RUVGyCb1sbfmePXukfM6cOdpyO65x0Z9w 0zVIKoHC7TuQxpfVq1eLsZFwx8XFSfm0adN0J5W12tq0aaMt3LhxY/v27Y1O Zy7cjipMSEgIRrjHjx/vV7gPHjzoK9w2XeOiP+Gma5BUAoVb8nlk6cOMiY2N FWMj4T5+/LiU+wq3dDe0wo3ehBqR3rNnT8SipUuXbt68WX0QNxduRxUmJCQE I9wTJkzwK9zqPZUSbvuucdGfcNM1SCqBwt27d+9WtkethES41ZvD+fPny0Ad 4fTp03aE21GFCQkJSSPc9l3joj/hpmuQVAKFW3382r9/v+VZQiLcnTt3RknH jh2hy1pLm8LtqMKEhISkEW77rnHRn3DTNUgqgcK9ePFicfa+ffueO3dOt8uJ EydmzJihykMi3DIzpW3btrqD/Pbbb3aE21GFCQkJSSPc9l3joj/hpmuQVAKF G+LYp08f8ffPPvts5cqVBw8eREhZvXr1lClTPvroI61Mh0S4v/rqKzEeOnQo Trdr1y4EnIEDB7a6g7lwO6owISEhaYTbvmtc9CfcdA2SSqBwg717937yySet jAmtcG/btk23XKoOc+F2VGFCQkLSCLd917hosHIaXYOkBlKVcMsXtOHDh/tu Onv2LERZNw8FMQTZPnJ+9cVNYgXK1Y8mCIgGsot2gQjh+++/b+VdZ1VbuGrV KskiFDjR1q1bJWqpyeAJCQmy6pRvMLRZYUJCgqV/nTt3Tlqv7xpEkyZNauUd 7K0T7iNHjki71S4IbNM1wMyZM8VAu0jaRboGSQWkKuG2A/rO27dv37Rp0/79 +9GJCP6ARpw5c2bHjh0rV67cvHmzbh02RyRZhUlqJilDBF2DEHMo3IQQS+hf hLgHCjchxBL6FyHugcJNCLGE/kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjch xBL6FyHugcJNCLGE/kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHu gcJNCLGE/kWIe6BwE0IsoX8R4h7+RwghhBBCCCGEkDCT3L3/oJBLSCSEhAH6 FyHugcJNCLGE/kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJN CLGE/kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJNCLGE/kWI e6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJNCLGE/kWIe6Bwk5RC 3759K1as+Omnn96+fTt5a7J9+/aGDRvWrFlz7dq1yVuTJIP+9a+H/pWCCFi4 ExISnnvuuQoVKixfvjxgtT1x4sSOHTt27twZ8BEUYQ0s169f37179+nTp23a x8fH46IuX75s/xS4BNyKv//+O6AKpgBu3bo1bdq0yZMno8HoNuFGTfayevVq o923bdvmucOiRYvCW1cr6tWrJzV58sknk7cmSUYA/oX4v2/fvsOHD4e8MqdO nYI/3rhxI+RHDhNOAwJCDcTr/Pnz9k9B/0pVBCzc0dHRcm9nzZoVsNoOGjRI DnLs2LGADyIEJtxorgULFsyfP/+rr77q12Dz5s3VqlVLly6d1BOWLVu2RNJi dDNbtGhRvHjxNGnSwBj/f/jhhydNmmSSwV69evWTTz4pVqyY7JI2bdoSJUp0 69bNkegHycmTJyMjI8uXL4+r69evn7kxomVMTEzz5s0ffPBB2F+5csXmWf76 6y+5h/fdd9/Nmze1m6ZPny6b3njjDaPdEahVYJk/f77Nk4YJtBapSaVKlZK3 JgBO1P8O8+bN82uDG/7ll18qs6VLlzo9iyP/Wrdu3bPPPvuf//xH7lL27Nlf eOGFNWvW+DW236LgLL169br//vvlsOnTp8f999sYGjRokN+KYcOG2bycgHEa EC5dutSzZ084iGrqefPmxfO9du2a5bnoX2EiafzLKU6Fe8KECb17965duzYk JqUL97lz5woXLiwVQJzxNRgzZsxdd90lBogqWbNmlX8XKVIEiq8zhncoAwh9 tmzZlCO0atXKbwX27NlTrlw5ZabSAzlFXFyco8sJgDlz5iBv8WhAFmFiX6tW rYwZM2rt7ScYKrCAJUuWaDc1adLEMrCAESNG1K9fHw6S7K/yJCC//fbbW7Zs Sd6agHvuuQetqLaXIUOG+LW5fv16nTp1xCZnzpwffPCB07PY9C88GgSuu+++ Wx4oooT239iks7ffouDjjz76qNhkzpy5QIECSg07d+6saxKlSpXyWPHVV185 vQmOcBoQkJY88cQTYpAhQwZ0NpFdyJ9o9pano3+FiaTxL6c4FW7VlhQpVLjR OHGr1VX4CveuXbvgPtj09NNPHzx4UHZZsGBBnjx5UIgYcuvWLWWMLoYcB+72 66+/yhvvvXv3Vq9eXcqxo+74SNKQiktA69Gjh5wCYo2OAPwdLpYE7oNz6Z6m uXCj66SzD0y4tYELR0ActhNYiF8QWNDk7Nu/9NJL4RPuyZMny6MsWbLksmXL 8NChR/CO559/PkuWLJs3b9bZ229Rb731lsfbyx45cqS4HhJvxHbZ68cff9Qa b9iw4TcDJIIVK1YMQcPpTbBPAAEBWQ3K8TTROULXO9H79lt56LRp08zPSP8K E0njX05xKtx9+/bt5KVx48aWwg05joyMbNeuHa7l3Xff7dmzJ7p458+fl62T Jk1Sr0S+/vrr7+4Af08C4e7VqxfOi2xfLsRXuD/88EOU586dOz4+XluOJFDe NsC/tOXIVD/66COkXtrChIQEebPXpk0b3fHRnZdr930xdfr0ad1xwgRyg5t3 yJs3r6VwI5KI8ahRowITbuQkSIe0b/NmzpyJcqSpoQosuKjjx4+vX79+586d dm4jKhYbG7tmzZpTp04Ff3YjpErQGnOza9eu7dix4/fff7c/2sE9wo3KFypU SLzJt/5+3yDZbFFnzpyRrYg/uk24HBFiO5+84bMeb39269atlsZB4jQg1KxZ E+WtW7fWlcsF+trroH+laP9ySsDfuHEt5sIdFRWVI0cOjw9oVHIu7accLc2b Nw+3cEMr5T0bsvcOHTr4Fe7KlSuj/P333/fdvWnTptj02GOP2TmXGFepUkVb iPaTL18+j72XYEnDAw88YCncitGjRwcm3OnSpcMlezRv8+T+vPLKK7rAAoNs /rj33nuNToGEp23bturTqvRfSpcuPXToUL/1REyrVKmStu0hT0MiB7/WWaLD 6LcyAwYM8FsTZKTYOmXKFKgJ8lX1jhc88cQT6Hn57gJda9asmXqxjPapO5fR 9zX3CPfw4cOl8r430BLzFrVw4ULZevLkSd+Kyaaff/7Z/BT79u1Drx+WCE1O qxdC/AYEgL65Xwfs1q0byvHUzA9L/0rR/uWUMAn34sWL5eswnnKNGjXat2/f sGFDycYB0l3Y1K1bt0CBAlJSsWLFJ++ApDqswn3gwAF5QdekSRP8iaboV7il br179/Y9guTtmTJlsnM6tEkY4/K1hUhW5cI3btxo5yCWII1ErySYIySNcEuy 5LnzNu/KlSvoIyBW9OvXTxdY5syZ4zHA6PgVKlQQgzx58qAhFS9eXPkpru7i P1+N/vDDD5K8oaGWKVMGeZr0SoTBgwdrjbVDEbT06tXLb2VeeOEFbO3atat6 NYrWovZCznb16lWt/dmzZx988EGP97vJM888g93Tp0+vO9fs2bP9nss9wi3q UKdOHacHT7RqUePGjZMnpf0+pZBxGgMHDjQ/xdNPPx1w9YL3L4XfgJB451V5 kSJF0Bi05U899RTKcX/MD0v/StH+5ZQwCTdyG49Xtffs2aMtnz59evny5Xft 2iV/Jv03boSFsmXLerwfqdEUE42F+8UXX0T566+/7nsQEW5w/Phxy9PJh3Jc qbZcvAbNXt5oISagZNSoUUuXLg0sPjz88MMjRowIYEdFkgn3wYMH4TXyNk/u w3vvvRcREaELLIg5x/4JkiiTwDJ16lTZ+s0336jwfu3aNTwsBHbfBAx3zOP9 FHv06FFViFwdTReOr+vZnTp1SlcZ6XeYBxYBBzx06BAKT5w4gXAthWPGjNHa v/POOx7vK9xVq1ZJSWxsLLonHoPUUYt7hFvCr1QYD3fLli3ffffdtGnTtm3b Zjlgw7xFrVmzRrYinug2oV3JUDSjIaACPEuOsGnTJvOa+CV4/xKMAkKit0Mh 6oM2qfrL48ePh/xlzpzZMizQv1K0fzklTMJdpUoVbMqRIwdSHZODJL1wS0aB FHTfvn1SYiTcn376qcebLq5bt04VIv706dNHjag3mRcpyGsuPHpd3b7++muP N7tGNdARkNRUyJgxY8+ePe1MANGSgoQbTaJRo0b4x7Jly8Sh8A9cssfqGxwi hklg+fzzz2WrbkxCovdDqk44cHvlIfp1Md1sGr+gCVkGFjzWyMhIbTnqJiOF dJ8spTvQqVMnbSEeqMfblzGviXuEW4LtxIkT0Z/SvlD1eOf1+I5M02Leoi5c uCBzLlB57bdsVEkNIMc9Nzl+tWrVYFO7dm3zSzAiVMJtFBAEhBrVLUUWBMFF K82SJYuSGxPoX4kp2b+cEibhVk+5Tp06ixYtgt/5PUgSC7d8g0OL0o4HMxJu tAEZQI4H16JFiwEDBnz00UdIID3enrJUe/369SanW7FihbTeHj166DbJyDcg H90QfFp7UdPTunbt6uQxpjDh/umnn/AP3IRcuXIh/YbjBx9YFi9erCIeOhq6 d2W+yBtIPErE0v3799u8CoWdwFKzZk3fTY8//jg21a1bV5UgyknmNnbsWK3l 8uXL1R0zqYlLhBuV1DZpCDd8H6GyQYMG4gXZs2c3eUNl2aL69u0rBo8++iha C7qQOLIaLw1q1apldHAk2GIT8EpcIRFuk4Ag/PLLL+rrofa67KzEQv8SUqh/ OSVMwo3sWqmb+DL64BCjQ4cOac2SUrjhs3gEOBdcXltuJNwAuqwd9iCg8avP Qybvrw4ePCjDzyDKvt3nd999V46QLVs2eKsqhzvISHv09GWCmE1SlnDjMtW0 1s6dO2Nr8IEF9O7dW727wPGbN2+Oxikza3zB7S1SpIh6rBUrVkRutmvXLpuX Yyew1KtXz3eTjB3StbcSJUp4fLon8lomR44c5jVxiXD/+eef6mY2bNjwouaL JzqS8kkRzd5od8sWhY420gBxYUXu3LnhPriZvndPiwxAhT/auFD/BO9f5gEh 8Y4LIGyiHeJW9+vXTw0KQodxx44d5senfwkp1L+cEr5R5QsXLlTrCSig4EjA lE2SCTcMRJg83m9h72soVqyYx/vCRP7UzRNBuMCFoEl/9tlnM2bMkC7D999/ 7/H2KYxOd/jw4YceekgOK99fdPTp08fj7YP41hnJgKTl06dPN3lwS5Ys6aEB flSjRg1tiaP1EhOTVrjxZ4sWLeRPueEhCSyJ3sl6jRs31o5UQafs448/1n5o U1y5cmXIkCEym14bYdBh8TsISkvAgUVm9+gCS5cuXSRoq/nIMTExEnstp/C4 RLhv3rwpb7NxcN8v2u3atfN4v3ga7W6zRR04cGDSpElo3nhwyKtlOpJMzUYc NtqrdOnSdu6kltD6l2VAmD9/vsf7cg+9clWIWzpx4kRZoKZo0aLmnVz6l5BC /csp4RNuASkWZA69WvEdAa4nW5Vw47kHLNmCeWDZv3+/xx4zZ860vGnyotto OtiRI0ckVYYuG2WYMtIDbd7v5x7xcaNGKyDQPacBMRP5rbbEcuCcjiQW7t9+ +00byUMVWATUCh0xpGFqeUzk1Tt37jSy37t3L8I+bprqULRs2dL8FKENLOiC qW+16Jeh/UhN8Ewtp6a6RLgT74xH8juFZ/z48R7NaExfAmhRwunTp+VeGU0H O3HihBzZcmC2rj6h8i87AUFGVfmdfCoTsT3+1mzRQv8SUqh/OSXcwq0F2aPs 8t///ldKBg8eLCVIpJ3ptA/mgSUhISHSAJkkgn63/AkvM79jCBTyZQ3y7fd+ yuQUNDyTL+AbN26UC/drI6ngt99+a14TLSnrVXmid0BLdHS0GvgX2sCigMMi 55eZiU2bNrW0j42NLV++vJzFXKdCG1jQB0Elc+bMWbVq1SxZsmTNmhUdk4iI CDvLRLhHuGUpQr/fmuW1JC7QaN+AhVs6UxBWoyWCZ8yYIUfGw3V0ZC0B+5fN gCCDZ3yXl0n0fj6TBmweEOhfQgr1L6eESbihgLrP2eDChQvy4bt169ZSgq63 HGTRokWB6bXC5qhyX0y+cfv9vQOxz5Qpk2/KDTmWVWVy585tvjTT7du3pQFX r15dt0ndWPORbzpSnHDrCD6w7N+/36gBSG4GV9UWLl682O9aW9JVAUYLMgih DSwSt7WjHezjHuFGn1du3cqVK7XlEBFZzshk/JidFuXrjwcPHpQsukOHDkZ7 QVnkyBeDWOM0MP+yHxAk5/E76B2dGqm/0URjgf4lpFD/copT4T5x4sRRLz/+ +KPcf/SjpQSblFnRokWR1XTv3n3Dhg2yxunOnTs7deoku0RFRYmZGu355JNP 7tq169y5c2jqgf1OaMiFOz4+/pFHHmnQoIEaJIa+tlqj9fPPP9fZL1y4UGJI rly5VqxYgb32/pNjx45p7dUozXfffVdmlCd6h7/KCJbHHnvM0a8WBhBYkG2e 0yBvvdDkVIk20CHT0BoPHTpUKo+LUoXmFQ5rYMHBS5QogbQQT1P3O5J4LvKV UDtDZOzYsSgpXrw40k7tp8OEhARxfI+/Rbq0hDawyIpAzZo1s//TsQr3CDeQ eaB58+ZFfJYSCDHuvNxSdHyUpdMWheadI0eOCRMmyMguJAPIE2RtxmzZspkM DJawkyFDBqeXrCUA/3IUENSic507d1bRAMBGVlRDGzZvG/QvIYX6l1OcCrdM iPML2rZWuFV5+vTptT8l8Nxzz4koCNIstSTBkqdajIQ7MjJSVQmBSL47C02a NNE6V6J3JTTdeFdfatSooTuFymTg4KW8yJcXWbjG0VUEEFhatmxpXuHChQsr 47i4OHNjjzeFMzldWAPLkSNHtGsyIJKji4dejBoYg3Tozz//VPaiArIpbdq0 aK5Vq1atVq2aTGXyGE/YUYQ2sEgjFPLkyVPES7FixdCLQeo4atQoo1+STXSZ cMMR1O/NFSpUqFy5csr3datwO2pRUH81TypdunR4rGp8VM6cOc0//sqanwhc Ti9Zi1P/choQkMa8/PLL6orQ9X777bdffPFFtcCX/R8ZoX+lRP9yilPh9p1m qED/VJlNmTIF91YtVKIed9euXY8fP649IDraMptDoV6kJ69wJ3o7xWXLltVe Rf78+XVr8girVq0yd1KPP+FO9C6hpiZ9SCNv1KiR3yGa5owePdrp7yagdZlX GM9aGSNTtbzAcePGmZwOHfw0Xi5cuOC7VQLLO++8Y3IEy29weAr169dXA2YE hD6kgr4zSeGqERERZcqU0S1+iJ6F30eswzywyA9GIBT7bvIbWLZv366dPukL IozRoGJXCTc4f/7866+/rv2xToRK3S/yJDpvUXheqLa2C4AHV7duXctfv5Ul EMuXL+/0krU49a8AAsL169dxFm00ENDT0Q41N4L+JaRQ/3JKwN+47RAfH4/W /rOXLVu2mKyidujQoSVLlixbtmzv3r2BnStg4bYEHrFhw4a1a9cG8JrFJrgz S5cuXbduna4jTwIDDS8mJmb16tVoEn4HKmi5cePGH3/8gdiIpxzWHzAyAlEF OS06klFRUfv27du0adNGL8gbR44cqZZxxhX53d1twi3cvHkTvU70hf3OfgoG 9OxwK3DTHH1LSkEgzqxfvx4NcseOHUazpJMX+pcJ/wLhTkrCJ9yEhJXWrVt7 jH+3EdmsBBb3/8gIIS4kRfiXUyjchCQvstaT0apiau0IoxU/KNyEmJAi/Msp FG5CkpeBAwdKzt+yZctNmzZdunTp1q1bcXFxc+bMqVWrlmwy+c1KBJbu3bvP 9bJ9+3a/Nrdv3543b57YVKpUicJNUg8pwr+cQuEmJHm5fv36a6+9ph0qo/21 uDx58piPZy5atGj+OxhNZ7569WqBAgWU2RdffOG0kvQvkkJJEf7lFAo3IW5g //79w4YNq1u3bgUvjRo1QpSYOnWq0x94DRP0L5Kicbl/OYXCTQixhP5FiHug cBNCLKF/EeIeKNyEEEvoX4S4Bwo3IcQS+hch7oHCTQixhP5FiHugcBNCLKF/ EeIeKNyEEEvoX4S4Bwo3IcQS+hch7oHCTQixhP5FiHugcBNCLKF/EeIe/kcI IYQQQgghhJAwk9xvu4NCLiG5X2AQ8u+E/kWIe6BwE0IsoX8R4h4o3IQQS+hf hLgHCjchxBL6FyHugcJNCLGE/kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjch xBL6FyHugcJNCLGE/kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHu gcJNCLGE/kWIe6BwE0IsoX8R4h4CFu6zZ88eOXIkTCqsmD17dpcuXSIiIiwt GVhSIn379q1YseKnn356+/bt5K3J9u3bGzZsWLNmzbVr1yZvTdwJ/etfD50x BeFIuGNjY/v161e1atUHHnggTZo0Ho/nP//5T/ny5UeNGnXhwoVQCLWeDz74 AGfJkSOHpaXTwBIfH79z587Lly/btD99+jSa0/nz5+0YJyQkwPjMmTN2jOEm +7xcv37dZmVCjqMKK27dujVt2rTJkycvX75ctwk3drKX1atXG+2+bds2zx0W LVoUQLVDSL169aQmTz75ZPLWxJ2EW7gd+de/m8ACAp0xVeFIuEuVKuUx4Kmn noIUhkCq/0nIhRs2LVq0KF68uCQe+P/DDz88adIkoyTz0qVLPXv2vO+++9SV 5s2bd9CgQdeuXfM1PnDgwNtvv12sWDE5OLj33ns7dOgQFxfnawxHQ8JTrVo1 JD9inDZt2sqVK8+aNcvpQwwYRxX25a+//pK9cH9u3ryp3TR9+nTZ9MYbbxjt vnv3bnVX58+fH+zFBMerr74qNalUqVLy1gSggfW/w7x58/za4IZ/+eWXymzp 0qVhrVJgwg05KFiwYP78+XF7/RrY9C/chPxW4ES+x79x40ZMTEzz5s0ffPBB 2Fy5csXpJQTPyZMnIyMj0cFBBdDxMTILMiDQGcOEC50xMSDhLlmy5CeffDJu 3LioqKiXXnopS5YscpM7duwYvFLrCK1wowFnzZpVapsuXbps2bKpttqqVStf +6tXrz7xxBNikCFDBqR/cD35s379+lpL6P6AAQMyZswoW6GD6rYA7HX06FGt fWxsLI6mDDJnzqykE/Tq1Sv4J2uO0wr7RcUKsGTJEu2mJk2aWMYKMGLECNxJ tPlkfzsnGR3SmC1btiRvTcA999xTrly52l6GDBni1wbdsTp16ohNzpw54Slh rVIAwn3u3LnChQtLM3j22Wd9Dez714wZMzxWZMqUSXf8WrVqqRYu2H/DFhLm zJmDdEJbAUROv5bBBwQ6Y5hwoTMmOhTuDz/8cNq0aQkJCdpCJNUS89FEAxZo I0Io3OvWrZPWCwf59ddf//77bxTu3bu3evXqUr5gwQLdLsidUI4HN2HCBHQN Er1Z8bBhw8Qet0JZohypMgorVKiwcOFC3CKU4Izt27cX40aNGmmPvGjRorvu ugvJA1xyz5498JTTp0+j44/uv9hv3749ZM/YH04r7BdtrNBmPgiPiDx2YgXx C5ocmqh9e+TPbhNuNGmEMtU8/Aq3ff+Ct/5mwNdffy326K7qjp89e3aduCex cKtrsRTu4AMCnTFMuNAZE0M0qrxu3brSMI4dO6YKx44d+91330EL8O/58+d/ 9tlncOSmTZv269fvxIkTfo+za9euQYMGvfbaa8hbWrZsGR0djf+HSrgBksmP PvpI9+UImnX//ffjLG3atNHZ16xZE+WtW7fWlePR+NrHx8cjdOheUiljpGG6 PBadiN27d+uM1Zemb7/91vxagsdphX2RWJE1a1Z0l7Qv6GbOnClHCFWsQE2O Hz++fv36nTt32vnwh4qhC7NmzZpTp04Ff3YjpEroV5qbXbt2bceOHb///rvk inZwYaxwKtwQIDx9dHgbN25sJNyO/MsvUKWSJUvC+PXXX/fdijTgphe082QR brTbm3fImzeviXAnBh0Q6IypxxkTQyTc4mgAj0YVInsUh6pRo4Yu7SxcuDAe uu4g33//vfZtrZZwDE7TgnQCZ6lSpYquXF5e+fpat27dUI6rtnPwTp06wRjp tN/P4jpU2tyjRw+blQ859isstcWDrl+/vkfzgk7u5yuvvKKLFTDI5o97773X 6BTod7Rt21Z99fN4O2ilS5ceOnSo3yCMMFWpUiVt48mdOze0A66qs3z++ef9 VmbAgAF+a/Lqq69i65QpU27cuNGzZ89HH31UneKJJ57Yu3ev7y5xcXHNmjW7 ++67xSxNmjS6cxl9MnNhrHDkX0jU5U3vyJEjO3ToYCTcwfvX+++/D0t0SxEB TMxGjx6dLMKt5YEHHjAXbr/YDwh0xtTjjImhEO7z58/LlymklNpyEW5F8eLF q1Wrpl5e4fFpjceNGyfladOmffzxx99666169epBr5NGuNFscJaGDRvqyuVV XpEiRc6ePastf+qpp1COaGB5ZHTnH3nkERiXK1fOTk2ioqLkkufMmWO//gBp pNMx4X5xVGEVVRCfPXde0F25cgVpP9y/X79+uliBi/IYYHT8ChUqiEGePHkQ 59GKlOshEurC9Q8//CB6gayjTJkylStXlo6GMHjwYK0xLtBvTYy+J77wwgvY 2rVrV/VtJVOmTGqvfPnyXb16VWuPNvPggw9Kk37mmWewe/r06XXnmj17tt9z uTBW2PevAwcOiJs3adIEfyLUe0xflQfsX0uXLpXbuHHjRnPL4IU7eP8KTLjt BwQ6Y+pxxsRQCLe0E/Dhhx/6FW6kfEiBpPDQoUPy1QbPFPmbFJ48eVJaNQQa t0gd4dy5czKsIqzCDV/OkCEDzjJo0CDdJoQgaQ8lS5ZUGez48eNR+cyZM5s7 MlJBuEbFihWl6S5btsy8GocPH+7evbs4AhIJp+NDcFdHjBjhaBcdTiucqIkV Bw8ehCPICzoJCO+9915ERIQuViCMHPsnvXv3NokVU6dOla3ffPPNrVu3pPDa tWsTJkwoWLAg9tXZS9PCw9KOrEPbQ6YNX0Yz0xqfOnVKVxnpSpjHCgEHREtG 4YkTJ5DvSeGYMWO09u+8847HO+Zq1apVUhIbG4seBwp9a67DhbHCpn/Bm8qW LYtrRCcIzSPRVLiD8S9QtWpV7IsM37JWwQt38P7lVLidBgQ6Y+pxxsSghXvz 5s3yfhv//+OPP3yFW6fmQHI/gH2lZOjQoVIyfPhwnXH45nEr5L0cno7f3det W6cSRaSFcAHkbLhY1QB8QUMqVKiQGs5aq1atnTt3GhnHxMSULl06V65ckp3i SnE37LxU1xFMYHFUYS0qViChbdSoEf4BuRcfwT969uzpsfqshiBgEis+//xz 2RofH6/bhNChC2W4aXg0MPbrNb6f8n1Bx8QyVuAxRUZGastRNxn8o/smKxl+ p06dtIV4Rh5v98S8Ji6MFTb9C23J451UuG/fPikxEe7EgPxLWL58uey1YcMG y1qlIOEOOCDQGRNTjTMmBifc2AUBX54m8mTdVhFuNFRduZpUqDrX8Fb8mS1b Nt+Z4OEW7hUrVkgDM/qE9MsvvxQoUMDzTyBtJitFaCeA4OCtWrXas2ePkTHy Ve2RS5UqFRUVpRJa+wQTWBxVWIs2Vvz0008eb56GmIOMGpcQfKxYvHixCuno O+hef/kir1jRSUEytn//fjuXoMVOrKhZs6bvpscffxyb6tatq0oQuCTwjh07 Vmup5Eb3cliHC2OFHf9C4i1NSDsR2Fy4A/AvQR5HjRo17FQ+BQl3wAGBziik BmdMDEK48SyKFSsmF47b62tgJNwLFy6UveDdUiKvvMqWLet7kLAK98GDB9Gq xTv85rTS2tH2BgwYgIP369dPJSpI4Xbs2OH3sJs2bZo9ezbcDW4ibwIzZMgw ZcoUv8ZnzpyBR0yePDkiIkINsahSpYrMjrFPMIHFUYW1aGMFHFnNi+/cuXPi nbsXTKwAvXv3VhNacfzmzZvPmjXL6ObggRYpUkQFvYoVK+LB7dq1y/JCBDux wu+LWRkOpNOmEiVKeHx6HDJ3Ce3ZvCYujBWW/rV27VpUG1eHlqwtNxHuwPwr 0TtDXPJt3RtRI1KQcAccEOiMQmpwxsRAhXv37t1KtT/77DO/NkbCrTI3Jdyy SkP16tWTUrgPHz780EMPebyvSuQTiQ5Uz+N9hY5euSq8efPmxIkT5a1y0aJF LdNOdBxk6Cx2sVM9yOVdd90F+xYtWphbLlmypIcG+BF6H9qSwFaPdFRhbazA n6iz/Ll169bEEMUKsGXLlsaNG2sHn2TOnPnjjz/2u0TMlStXhgwZUrx4cY8G BA30QSy7LQHHCplVoYsVXbp0EVX68ccfpSQmJkbCqeWsHBfGCnP/ggOKMHm8 w6Le1yCBAlvlT2kbicH5l0xxAn7HD/sSgHCH3L8CG5xmPyDQGYXU4IyJAQn3 xo0blZN+9dVXRmb2hVuUIil73EeOHJHcPnv27EZJoIxzQKjx3aTihu+aLb6c OHFCjH0Hv/mldevWHu98TPO2jVj0nAbcbeS32pLjx4/bOV0wFdbFit9++83j HY4iW0MVKwSE3F9++QWPQybdS6sw+RaPkI6MGvdB9RFatmxpforQxopr166p JYLz5cuH9iY1wWOynG3qwlhh7l/79+/32AO+I7sE418yC8zy66QiAOEOuX8F JtyJtgMCnVFIDc6Y6Fy4obZyS5G9jBkzxsTSvnC/9tpr0jLVOPOwCjfM5Ksu LmT9+vVGZrKwQ9++fX03oSMgabDNZVJknVW/McoX5Khyf3QDL80J/lWeFpsV 1sUKBJbo6Oh169bJ1tDGCgV8ELdI7n/Tpk0t7WNjY8uXLy9nMW8hoY0V6Fag kjlz5qxatWqWLFlwS9HXiIiIsLPygwtjhbl/JSQkRBrw9NNP4+ag3y1/ImeW XYLxLwnCMt3MDinoVbkvNgMCnVFIDc6Y6FC4R40aJZ+xsmXLhozL3Ni+cPfp 00dKdKPKkdMiSQutcG/cuFF+0SB37tzqrZ1fZMHG2rVr+246cOCAVFhN/bt5 8yZkzu8A15UrV4pxVFSUKlyyZEm3bt183wTevn1bJpXnzZvX8lq0OA0sTivs F12s0BF8rEA/zuiZihzA+7SFaFo3btzwNZbeBzBaY0EIbawQYYKbmJzRCBfG ioBnbRh943bkXzoksezYsaPNOrhfuIMPCHRGITU4Y6IT4V62bJnnDv3795/p DzysAIT76NGj4onYZejQoTt37kSiOHjwYPVCPlTCvXDhQpkskCtXrhUrVhw8 eHDvPzl27JgyliGyHu/oDpmRKsBGfQU+ffq0FMoUSBlCuW3bNpnvgKR3+vTp OBc2pU+fHuFIjOPj4yV5KF269M8//6zmq6Iz8uabb8pJLV8l6XAaWBxV2Iiw xgocvESJEqghIv/hw4e1m/Ac5TOodtLH2LFjPd51fmbNmqUNgOgMqpX9zPss oY0VsghJs2bNVCOxjwtjRciF25F/abl06ZLsaLSsVqJX785pUBNOcXBV6FdW jAhAuNGb09ZB3irjMamSi3dWLAlJQKAzCqnBGROdCLcMJjFH1h50KtwXNZ1u v4REuJEPyOsCE7SzS+D7L7/8spTnzJkTXYO33377xRdfVEvuaH8EARonY+MF pAelSpVSawOmSZNGa4wjDxs2TPu7RYUKFSpYsKAMlPV4c1f7S+kKTgOLowob EdZYgailXWYhW7ZslStXRjdNjXXJly/fn3/+qexx+WqpPdzJokWL4gKrVaum 1tG1XDQytLFCBEvIkydPES/FihXDw23QoMGoUaMQxIxq4sJYEXLhduRfupqI gW52j5a4uDhzTwcTJ060fxUBCLf8zoIJhQsXVrci+IBAZxRSgzMmOhHuBQsW WPoCnqOyl+XIunbtqjuOWqgQB9SWR0ZGapehw4MbMmSIfOOGXwcv3KtWrbKs v25a6PXr10ePHq2mqCiee+457VBYAd1VJPbPPPOM+uVQoWbNmmvWrPGtz549 e+BH2t/C9nh/S7d///4XTRde9gvqaf7m3xenFfYFwSSNlwsXLvhulVjxzjvv mBzB8rManlr9+vXVGBgB7aR58+a+k0PhfREREWXKlNGtZ4jOgp15Q+axQn4R A1rju8lvrNi+fbtaENIvCBpGo6ZdGCtCLtyJDv1LgcYpZnPnzjWyQcfK5M4L 48aNs38VAfiXxC4TChQooLUPMiDQGYXU4IyJIfqRkVCBXHH58uXR0dGbN29G 83O0b8CBxQ6IA+vXr0cw2bFjh+WESuTPqMn8+fPh6RdteBxaOI68bNkypKwB LL0SPE4rnCzEx8fHxMSsXr0aVb1y5Yq58Y0bN/744w/c1Q0bNoT1N4mMQKBA ryRdunRRUVH79u3btGnTRi+LFy8eOXKkWpkZV+R3dxfGCvf417+eZA8IltAZ TUiFwh0MYQ0shDhCpvAY/TClGi6Sgn7XgP5FUij/PmdMpHATEgZk+aZ3333X 71a1HITRIh4ujBX0L5JC+fc5YyKFm5AwMHDgQEnjW7ZsuWnTpkuXLt26dSsu Lm7OnDm1atWSTbAx2h2xonv37nO9bN++3a/N7du3582bJzaVKlWicBPil3+f MyZSuAkJA9evX5dlhRTaEUd58uQxH6JctGjR/Hfo0KGDX5urV68WKFBAmX3x xRfhuZT/D/2LpFD+fc6YSOEmJGzs379/2LBhdevWreClUaNGcPypU6cG8LOt yQ79i6Ro/k3OmEjhJoTYgP5FiHugcBNCLKF/EeIeKNyEEEvoX4S4Bwo3IcQS +hch7oHCTQixhP5FiHugcBNCLKF/EeIeKNyEEEvoX4S4Bwo3IcQS+hch7oHC TQixhP5FiHugcBNCLKF/EeIe/kcIIYQQQgghhJAwk9xvu4NCLiG5X2AQ8u+E /kWIe6BwE0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJNCLGE/kWIe6Bw E0IsoX8R4h4o3IQQS+hfhLgHCjchxBL6FyHugcJNCLGE/kWIe6BwE0IsoX8R 4h4o3IQQS+hfhLgHCjchxBL6FyHugcJNCLGE/kWIe6BwE0IsoX8R4h4CFu7z 588fOnQoISEhtPo7e/bsLl26REREON2RgeVfT9++fStWrPjpp5/evn07eWuy ffv2hg0b1qxZc+3atclbkySD/kV00B+TEUfCffjw4eHDh9eoUeOhhx666667 PB7P3XffXaBAgfbt2+/evTsgodbzwQcf4LA5cuRwuqPTwIKUA4/7zJkzdozR Mvd5uX79eqB32u3INeIRh+n4t27dmjZt2uTJk5cvX67bdPny5cleVq9ebbT7 tm3bPHdYtGhRmCppk3r16klNnnzyyeStSZLh1L9OnTqFmHDjxg2b9ugIwP7m zZsB1Y44hv6YonEk3PXr1/cYAKnduHFjIFL9T8It3AcOHHj77beLFSuWJk0a qfm9997boUOHuLg4X2O07VGjRlWrVu0///mPGKdNm7Zy5cqzZs3SWc6bNy+/ FQULFtTuMn/+fBPjqVOnBvNYHbFu3bpnn31WXWP27NlfeOGFNWvWWO7YokUL qS2OYGn8119/yfHvu+8+XXyePn26bHrjjTeMdkdUV40Nt87OdYWPV199VWpS qVKl5K0JGDRoUP87oB36tcEN//LLL5XZ0qVLnZ7Fpn9dvXq1V69e999/v9yf 9OnT4xaZPy/Up0SJEuKPmTNnRlPctGmTziYA//LFUXMNISdPnoyMjCxfvjxO 3a9fP/s7OqowlBR3AMZonHYOTn8ME0npj46EG13sdu3ajRw5cu7cufj/448/ LjetePHigUj1PwmfcKNHOWDAgIwZM0ptESiyZMmi2h4a/NGjR7X2sbGxyN+U AUKK0nqA6KQ1njFjhlFKo8iUKZN2lzFjxpgYY6vTRxkAuCdoNnfffbecFGmJ 9t/YZLLvsGHDVG1XrFhheS4VKMCSJUu0m5o0aWIZKMCIESPQAtHgk/3VHFoa gioywC1btiRvTcA999xTrly52l6GDBni1+b69et16tQRm5w5c8LLnJ7FjnDD DR999FHlLwgU4jL4f+fOnX2f2rVr19566y3V3pQ/wlN+/vlnrWUA/qXDaXMN CXPmzIGYaiv5ySef2NzXUYXPnTtXuHBhMUbmY+f49McwkZT+aFO4oVZRUVFo JNrC+Pj4ihUryoNGf9ap4OoIn3Cj+4y+Mw5eoUKFhQsXJiQkoASpbPv27aXy jRo10tovWrTorrvuSpcuHa56z549aJynT5+eNGnSww8/LPbbt29Xxn///fdv Bnz99ddij8679vhfffUVCtE38bvX8ePHnT7KAJg8ebLUrWTJksuWLYMvo8eE e/L8888jim7evNlox5iYGLTPgIW7VatWqvzy5csI8nYCBfELHsSvv/5q3/6l l14Kk3CLCqOXjXwezpXoFRSEU3m4P/74o84eYU02oSNw4cIFlOzcubNYsWIo yZAhA9xNWQbgX1oCaK4hQSu+joTbUYURmqACyjgA4aY/hpCk9McgR5V36tRJ HjTamyocO3bsd999BxWQPyFzEydOHD9+/K5du5QN/j1o0KDXXnsNiUfLli2j o6Px/zAJN0COAe/2/Y6GW4eTIvPRpY7I83fv3q0zVh93vv32W8vbCy+AJsL4 9ddf123q2rWrJ1nf7aC/U6hQIfF0BEbdVr/fDgQkFXnz5sWOKibbF+6sWbMi Jmvfzs2cOVNufqgCBR4iarh+/XqogJ0xCahYbGzsmjVrTp06FfzZjZAqQcjM zfBQduzY8fvvv/s+ESNcItxnzpyRxtC3b1/fM6Iciqz95I0G8NBDD6H8zTff 1BrjRslXm4iICMtamfiX9oABNNeQgKZ48w5SBzvC7bTC6FnAJmPGjI0bN3Yq 3PRHczOX+2OQwv3CCy/gKaNziiRZFeJPaajz5s0rUqSIyu569uwpBt9//732 ZbWWJBicpkUSD/Sv8ZgsjVWm2qNHD0vj999/H5bopKOGuk2tW7fGpnr16gVW 5+AZPny4XAiapf294HpVq1bFXnimx44dcyrcaBXywUW9nWvatCn+fOWVV3SB AgbZ/HHvvfcanQLNr23btupjPYATlS5deujQoYjwvvaIUUictA0vd+7ciH6+ N+T555/3W5kBAwb4rcmrr76KrVOmTIFUocGrF8jgiSee2Lt3r+8uyJSaNWum PlWkSZNGdy6j72UuEe6FCxdKzU+ePOm7r2zSvgCfPXu2UfMT18iTJ490200w 8S8h4OYach544AE7wu20wvPnz5fvESNHjuzQoYNT4aY/pmh/DEy4L1y4sGrV KvEd0L17d+1WEW48Vp0oi3CPGzdO/kybNu3jjz/+1ltvQcKg11KYlMKdkJDw yCOP4KTlypWzYx8VFSWVnDNnjrnl0qVLxXLjxo2+W2VAxXvvvRdAnX1BWmhz hLxCfLNOnTqO9mrXrp3H+yYT3gTHtB8JVcKDCOO583buypUryPnRSPr166cL FLi9HgOMjl+hQgUxQMx/8sknixcvrvwOYVMX23/44QeJeEjYypQpU7lyZell CIMHD9Yao234rYluqINCUtmuXbtWr15dLDNlyqT2ypcv39WrV7X2Z8+effDB B8UdnnnmGeyePn163bmgdH7P5RLhFo/GzfSrtvKpd+DAgapE+oklSpTwNUZU kUs2/2Bk7l9CwM1VRwD+pcOmcDuq8IEDB7Jnzw6DJk2a4E+opMf5q3L6Y8r1 R6fCjRQFzUPajMf7VQuqrZvTLcItt6hjx464zF27di1fvnzbtm3IyaUZQ6Bx jWqXc+fOybiIpBFuZF9ojfKBHq1l2bJl5vaHDx/GZUrbQ8pnOSRDMmejPrW0 peeee+7DDz+sUaMGshfklp999tnBgwcdXYWATseIESMc7SKNv3fv3one95Zb tmz57rvvpk2bhgdkdGlIWeWZRkdHJ3ozavuRUAUKXCAajLydk2iA7CUiIkIX KBBDjv0TVNUkUEydOlW2fvPNN0o7rl27NmHCBKiGXKYWGatQsmRJ7aBENGyk 2XBkXbfx1KlTuspIP8I8UAg44KFDh1B44sSJhg0bSqFu8OE777zj8YZraJaU xMbGoruhHpAJLhHuNWvWyKXt2bNHtwmPvlSpUp5/fkv973//ixJ09+TPBQsW 9O3bV2YjQq/lUL7Dy7WY+1dicM1VRwD+pcOOcDuqMDqtZcuWxVb0H3GHEwMV bvpjyvVHp8KNbFCbezRq1Gjt2rU6GxHuSpUqaT9qC0OHDpUdhw8frtuUNPO4 8ewKFSqkRpjXqlVr586dRsYxMTGlS5fOlSuXJISoG+pv+VIdKYocfMOGDX4N ypcv7/EHnrudl/A6Aggs0tQnTpyIbFb7Okuemu/INHQ6JE1FpiElgQk3slk0 GPwDmZI4CP7Rs2dPj9U3NUQAk0Dx+eefy9b4+HjdJsQNXSqCx4dcGsZ+XcbO bGJ5lWQeKNBgIiMjteWom4z8adOmjbZc0vtOnTppC/FAPd6+iXlNXCLcFy5c EJfH8bXfsrGXqDbAbVHltWvXRgnkG/9G9BCDxx57LNF7/+XpGHVqEm34V5DN VUcSCLfTCiOIebyvNPft2yclgQk3/THl+qNT4f7zzz8//fRTNLAGDRqI/OG2 4zn6Cjcaqu/uyOiwKVu2bLhvySLc2jkaqDk6Ar7dBAVSRK2oIQpFRUVZfn2T poKutJFBhw4dcGr0F6ZPn45OLmIXBBR5r5wFubfNaxGcBhZ4q5xIhhlAuOvU qYOGigcqHpQ9e3bti0qE5aJFi6Ic3Rw1wiRg4f7pp58kQCEdQjqNmxl8oFi8 eLFsLVeuHDoOundfvjz11FMe7wpC3bp1279/v2X9ddgJFDVr1vTdJNMn69at q0oQtSQnHDt2rNZSaRPumElNXCLcid6ltKTC6APigaLXhuakhih7vBmyMpav mSJko0aNEgM8DvTsUILg4DGdFGnuX8E3Vx3hFm6nFZYBKnBV7RzqgIWb/phC /TGYwWmHDh0qXry4x9tV3LJliyo3EW55x1W2bFnfTUkj3Js2bUIyD/1Fy5Qs N0OGDEZaeebMGTTCyZMnIxCpUQ1VqlS5dOmS0fHPnTsn8mc+Hfv8+fO6kqNH j8qXnSJFiti8FsFpYEHqpcJpw4YNL2q+N61bt04+6Lz77rtSgvRYRrAg+Jw4 cUJZBizc8GKJzKBz587YGnygAL1791Zz7XH85s2bz5o1y+gxHTx4UDtmsmLF igMGDNi1a5flhQh2AoXft7hyJ3XRtUSJEh6f7oZMdIIvmNfEPcKNjjZyP+08 Jo93fNEvv/yC69VdoPS45eU5GpU0e/T4Em30uM39KyTNVUdYhdtphZHky03W DbwPWLjpjynUH4McVT5t2jS5299++60qNBFuWSugevXqvpuSbMlTBdRTFlrJ mDGjnSNA32W51xYtWhjZyJQK4He8ojn9+/f3eN/qJCQkmJgtWbKkhwb4BXof 2hLfrEALYqM8INxw3y/aMkKmZMmS8qeab4tc630N8GspR8cKf/bp08fkjNpA kehdFUr+3Lp1a2KIAgVA6ti4cWPtyBP0+D7++GPd6joCOne4NEk7tREDHRDL NyoBBwqZG6ULFF26dPF4uxtqsnNMTIzEUsspOe4RbuHAgQOTJk1CC8S9Xb9+ vfQf8+fPj2tB6FNm8o0bSaP8Ce2QL4+J3qXG5FkYfeM296+QNNcg/csXE+F2 VGHEOjmUx5v2aO1lCjy2yp/iWUbQH4UU7Y9BCrf65I2UTxWaCLcIZTL2uHUg y5X6Dxo0yI69TFfJmjWrUXOSkfaWX0P8gqRUKmM+S2v06NHPacDdRr6qLbFc wkVGg/idQDF+/Hhpt/J1SS1vZU7p0qVNTqcLFL/99ptHkxuEKlAIly9fRi8P T0GtvYkWZTKMAfEfmoKbpjoILVu2ND9FaAPFtWvX1IfgfPnyFSpUSGqCZ2o5 1dRtwu0Leo5yOdrpYDKq/NFHH/W1V5+8jdqwuX+FpLkG7186TITbUYX3799v xxggvTGpD/1RSNH+GKRwwx/lGrW/6mUi3K+99prHK3zaed9Csgg3QGVwXjQt O8YqQ/adsirIQ5c5Gk5B8uDx9rhlLSmbBPAqT1Zb0n52VMhLoZw5c8qfixcv jvTHl19+Kfehffv2+BOJscnpdIECOU90dLRahDm0gUIBB8TDkjckTZs2tbSP jY1VgwbNm1NoAwVuHSqJG161atUsWbKgNaKjAW+ys+yD+4Vb+i8ICNpVfVSC ql2BUJAgYDKP29y/QtJcdYT1VbmjCickJPg1Bk8//bTHu9CN/HnkyBGT+tAf hRTtj3aE+9ChQ+iI6dY7BWhIanLc3Llz7Qh3nz59xF43qhxJLLKsMAk3Oo/Q Zb9jUFeuXCn1iYqKUoVLlizp1q2b75iK27dvP//88zDOmzev0bkkDejYsaOR wYoVK8aNG+dbfv78eVnNrHjx4ibX4ksAgUWlW7h8bTlcuHLlykaariXgb9y+ W4MPFOiJGDUACWhwPW0hoqXf366SrgcwWmBBCG2gkOW/0CsxOaMRrhJuGVqm 5eDBgzI+rUOHDtpy3HwZu6tbyuDMmTMyzxRNwugslv7lF9d+4zbCaYUD/sbt u5X+mCL80Y5wy/sr+Frfvn1xk5HOnTp1Cv8QqfV4X31rR4mbCPfRo0fF9WAz dOjQnTt3ItMbPHiw+nYTDuGWWYcyanHbtm3yEhgiNX369Fy5cnm8s9EPHDgg xrgQGeBdunRpCJxaewFX/eabb0oljd7eXLp0SQyMlvGBp6A3AYOXX35Zuyr+ xo0b1cJBTn9kJLDAUqVKFclA4B1Scvny5TZt2kgdLLsk7hFuHLxEiRJ4uIhd ul8mXbhwoUx80M74GDt2rGRH6PdpczNkoeLIHuPXKUJoA4VIVbNmzbQLdNvE PcKNFgjPnTBhgkyWhHPBd2RVpWzZsvk+94EDB8qtxtOXoI3UvUyZMhIZjO6/ pX8ZkcTCjd7ZOQ3ylhh3XpVcNFjtLeAKu0e46Y/27ZNGuI3Afdu8ebPW3kS4 L2o63X4Jh3BDlGU0u4BeQKlSpdT85TRp0kybNk0Zo1s9bNgwNdEboCNcsGBB Gcvq8aaLRq9N/ndngUfdbAIFwposyS5AxMuVKyfJg2D5QceXwIQbKZOaGYcL RDXUojqtW7e23N09wo2ESrvGAmSicuXKderUUQNd8uXL9+effyp7kRjZhGda tGhRtI1q1aqpNXgtp9KHNlBIyFXtoYiXYsWKoZk1aNBg1KhRJiMVXSLcSPkK FCgglwDfx51XQ5Jy5sy5YMECv7vg6sQGngh/FP/CFZlMh7T0LyOSWLi1Pu6X woULh7bC7hFu+qN5bXUVCKtwx8XFde/eHT1QXfOD5DVv3vzQoUM6+wwZMni8 q8wZHTAyMlK7jhzu/JAhQ+TzFjw95MKd6O0CoIP/zDPPSH9fUbNmTb8/P71n zx40Xe2Pd3u8P1/bv3//i8bZslpCau7cuSaVgTPWrl1brS8nSM5p89lpGT16 tPkgUiPOnz//+uuva1MUNFR0muzs6yiwIM9J48Xvt3sJFDIbyAjLb2qrVq2q X7++GgAjoI2hffrODIXrRUREoH+nW8wQPQU7rzvMAwValMf7RsV3k99AsX37 drUapF8QMYxmwrpEuBO9txRHVrmf3Py6deua/GDNzZs327dvr93lkUce0f3K pA6b/uVLMMIdgH9JKDMBeU5oK+xIuOmPQor2R0eD044ePQrfQf908uTJ69at 8x1gZh8ke8uXL4+OjkZvHe0n4ONcdDg4DR1qGM+fPx/OeNHqhVWit1HBd5Yt W4Ys0XJigiMuesfkz5s3b+XKlUEuhhwMiJ/ofaNbpKbkpGji4+NjYmJWr16N p+z71VXHjRs3/vjjDzzfDRs2hPUHiYxAlECXBClcVFTUvn37Nm3atNHL4sWL R44cqZZlxhX53d09wq2Am6C2uC6/Xy19gT/u3r0bocB8aQuSQqE/mpCMo8rd QJCjyglJLmR2oW7RRQXSRQkUbvhRA6d7EZLiSEH+SOEmJLmQtZvUOnU61FoQ Rit+ULgJCSEpyB8p3IQkF2pwdcuWLTdt2nTp0qVbt27FxcXNmTOnVq1askn7 g5g6ECi6d+8+14vvnGjh9u3b8+bNE5tKlSpRuAkxIgX5I4WbkOTi+vXrsiSR QjsYMk+ePObjmYsWLZr/Drq50oqrV68WKFBAmX3xxRdOK0n/IqmEFOSPFG5C kpf9+/cPGzasbt26Fbw0atQIXj916lTLH5BNGuhfJFWRIvyRwk0IMYH+RYh7 oHATQiyhfxHiHijchBBL6F+EuAcKNyHEEvoXIe6Bwk0IsYT+RYh7oHATQiyh fxHiHijchBBL6F+EuAcKNyHEEvoXIe6Bwk0IsYT+RYh7oHATQiyhfxHiHv5H CCGEEEIIIYSQsJHc/X5CCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC CCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC CCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC CCGEEEIIIYQQQgghhBBCCCGEEEIIIUnB/wGTixQH "], {{0, 238}, {659, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{329.5, Automatic}, ImageSizeRaw->{659, 238}, PlotRange->{{0, 659}, {0, 238}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.7786942492273073`*^9, 3.778694299657413*^9, {3.778694347660081*^9, 3.778694359132189*^9}, 3.778765761645726*^9, 3.77962300022303*^9, { 3.779626649610751*^9, 3.779626666871014*^9}, 3.780051240708808*^9, 3.780052564910733*^9, 3.780054183212934*^9}, CellLabel->"Out[4]=", CellID->607944381] }, Open ]], Cell["Here is a function to plot sparse contingency tables:", "Text", TaggingRules->{}, CellChangeTimes->{{3.77869563174804*^9, 3.77869566117822*^9}, { 3.779628816337811*^9, 3.779628817575244*^9}, {3.780333815187244*^9, 3.780333821861436*^9}}, CellID->638368738], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"CTMatrixPlot", "[", RowBox[{ RowBox[{"x_Association", "/;", RowBox[{"KeyExistsQ", "[", RowBox[{"x", ",", "\"\\""}], "]"}]}], ",", "opts___"}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"MatrixPlot", "[", RowBox[{"#1", ",", RowBox[{"Append", "[", RowBox[{ RowBox[{"{", "opts", "}"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Keys", "[", "x", "]"}], "[", RowBox[{"[", "2", "]"}], "]"}], ",", "None"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Keys", "[", "x", "]"}], "[", RowBox[{"[", "3", "]"}], "]"}], ",", "None"}], "}"}]}], "}"}]}]}], "]"}]}], "]"}], "&"}], "@@", "x"}]}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695661975087*^9, 3.7786956749401913`*^9}, { 3.779628875776144*^9, 3.779628894013151*^9}}, CellLabel->"In[1]:=", CellID->36261821], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CTMatrixPlot", "[", RowBox[{"CrossTabulate", "[", RowBox[{"data", ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695676822627*^9, 3.7786956912669153`*^9}}, CellLabel->"In[2]:=", CellID->667294358], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJxTTMoPSmVmYGDgBmI2IAaxIeCDPTrtfbmyMMbyrb2TJ3PXT5+X9p1fkrYr zb9Lsjgu86lFU8vegTKHZRnzK5n21/Z1Zn3fPzx8aC/s+nWjeEMNyeLkuv9h lcg694e3oHwYoF180TrcSE2fuMwZqHCgdbjR2hxq2TtQ5Q+10g+p7hmocCA1 /QMAudHlDQ== "], {{0, 0}, {6, 11}}, {0, 1}], Frame->True, FrameLabel->{{ FormBox["\"ColumnNames\"", TraditionalForm], None}, { FormBox["\"RowNames\"", TraditionalForm], None}}, FrameTicks->{{{{10.5, FormBox["1", TraditionalForm]}, {9.5, FormBox["2", TraditionalForm]}, {7.5, FormBox["4", TraditionalForm]}, {5.5, FormBox["6", TraditionalForm]}, {3.5, FormBox["8", TraditionalForm]}, {1.5, FormBox["10", TraditionalForm]}, {0.5, FormBox["11", TraditionalForm]}}, {{10.5, FormBox["1", TraditionalForm]}, {9.5, FormBox["2", TraditionalForm]}, {7.5, FormBox["4", TraditionalForm]}, {5.5, FormBox["6", TraditionalForm]}, {3.5, FormBox["8", TraditionalForm]}, {1.5, FormBox["10", TraditionalForm]}, {0.5, FormBox["11", TraditionalForm]}}}, {{{0.5, FormBox["1", TraditionalForm]}, {1.5, FormBox["2", TraditionalForm]}, {2.5, FormBox["3", TraditionalForm]}, {3.5, FormBox["4", TraditionalForm]}, {4.5, FormBox["5", TraditionalForm]}, {5.5, FormBox["6", TraditionalForm]}}, {{0.5, FormBox["1", TraditionalForm]}, {1.5, FormBox["2", TraditionalForm]}, {2.5, FormBox["3", TraditionalForm]}, {3.5, FormBox["4", TraditionalForm]}, {4.5, FormBox["5", TraditionalForm]}, {5.5, FormBox["6", TraditionalForm]}}}}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> Scaled[0.02], "RangePadding" -> Scaled[0.05]}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.778695693155517*^9, 3.778765311797399*^9, 3.7796229959516897`*^9, { 3.779628880588245*^9, 3.77962889602024*^9}, 3.7800512408395653`*^9, 3.780052565135004*^9, 3.7800541834742413`*^9}, CellLabel->"Out[2]=", CellID->221100189] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Word-sentiment analysis of movie reviews", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.7786968470619793`*^9, 3.7786968770101767`*^9}, { 3.779628905810059*^9, 3.7796289167006283`*^9}}, CellID->352985055], Cell["Start with movie review data:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7786961578629436`*^9, 3.778696171193844*^9}, { 3.78033388135406*^9, 3.7803338833451023`*^9}}, CellID->880395382], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"movieReviewData", "=", RowBox[{ RowBox[{"Flatten", "@*", "List"}], "@@@", RowBox[{"ExampleData", "[", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}], ",", "\"\\""}], "]"}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Dimensions", "[", "movieReviewData", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695707419067*^9, 3.778695826771324*^9}}, CellLabel->"In[1]:=", CellID->11477390], Cell[BoxData[ RowBox[{"{", RowBox[{"10662", ",", "2"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.778695779475317*^9, {3.7786958112623777`*^9, 3.7786958278634977`*^9}, 3.77876531800294*^9, 3.779622996391019*^9, 3.779625473123343*^9, 3.7800512412862062`*^9, 3.7800525655998096`*^9, 3.7800541838775797`*^9}, CellLabel->"Out[2]=", CellID->75683645] }, Open ]], Cell["\<\ For each movie review we make a list of word-sentiment pairs and then join \ them into one big list: \ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.7786961948079157`*^9, 3.77869619771064*^9}, { 3.77869661409303*^9, 3.778696693654354*^9}, 3.780333872832938*^9}, CellID->217344256], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"movieReviewData", "=", RowBox[{"Join", "@@", RowBox[{"Map", "[", RowBox[{ RowBox[{ RowBox[{"Thread", "[", RowBox[{"{", RowBox[{ RowBox[{"DeleteStopwords", "[", RowBox[{"StringSplit", "[", RowBox[{ "#", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "]"}], "]"}], ",", RowBox[{ "#", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], "}"}], "]"}], "&"}], ",", "movieReviewData"}], "]"}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Dimensions", "[", "movieReviewData", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695832497094*^9, 3.778695986063304*^9}, { 3.778696202010138*^9, 3.778696206519725*^9}, {3.7786966979987392`*^9, 3.778696702566218*^9}}, CellLabel->"In[3]:=", CellID->93423009], Cell[BoxData[ RowBox[{"{", RowBox[{"129342", ",", "2"}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.778696705134018*^9, 3.778765548869027*^9, 3.7796229980376577`*^9, 3.779625475573839*^9, 3.780051242974584*^9, 3.78005256734492*^9, 3.78005418553445*^9}, CellLabel->"Out[4]=", CellID->666886200] }, Open ]], Cell["Here is a sample:", "Text", TaggingRules->{}, CellChangeTimes->{{3.778696706153223*^9, 3.7786967112163353`*^9}}, CellID->317531709], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"RandomSample", "[", RowBox[{"movieReviewData", ",", "12"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695832497094*^9, 3.778695986063304*^9}, { 3.778696202010138*^9, 3.778696206519725*^9}, 3.7786966979987392`*^9}, CellLabel->"In[5]:=", CellID->701739359], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"good\"\>", ",", "\<\"positive\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"theaters\"\>", ",", "\<\"negative\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"light\"\>", ",", "\<\"positive\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"taking\"\>", ",", "\<\"negative\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"aspects\"\>", ",", "\<\"positive\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\",\"\>", ",", "\<\"negative\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"maids\"\>", ",", "\<\"positive\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"primarily\"\>", ",", "\<\"positive\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"easy\"\>", ",", "\<\"positive\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"performed\"\>", ",", "\<\"positive\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"music\"\>", ",", "\<\"positive\"\>"}], "}"}], ",", RowBox[{"{", RowBox[{"\<\"style\"\>", ",", "\<\"positive\"\>"}], "}"}]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{3.7786962091601963`*^9, 3.778696712361155*^9, 3.778765554597887*^9, 3.7796229980910177`*^9, 3.779625475691337*^9, 3.7800512430668917`*^9, 3.7800525674313383`*^9, 3.7800541856351013`*^9}, CellLabel->"Out[5]=", CellID->935756748] }, Open ]], Cell["\<\ Here we find the word-sentiment contingency table as a sparse matrix in order \ to plot it below:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.778696112231696*^9, 3.778696125788162*^9}, { 3.778696727641984*^9, 3.778696758062017*^9}}, CellID->983587884], Cell[BoxData[ RowBox[{ RowBox[{"cm", "=", RowBox[{"CrossTabulate", "[", RowBox[{"movieReviewData", ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}]}], ";"}]], "Input",\ TaggingRules->{}, CellChangeTimes->{{3.778696108474677*^9, 3.778696109250139*^9}, { 3.778696281333379*^9, 3.77869629163877*^9}, {3.778696356948618*^9, 3.778696357553361*^9}}, CellLabel->"In[6]:=", CellID->601046518], Cell["Here is a function to plot sparse contingency tables:", "Text", TaggingRules->{}, CellChangeTimes->{{3.77869563174804*^9, 3.77869566117822*^9}, { 3.779628816337811*^9, 3.779628817575244*^9}, {3.780333815187244*^9, 3.780333821861436*^9}}, CellID->638368739], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"CTMatrixPlot", "[", RowBox[{ RowBox[{"x_Association", "/;", RowBox[{"KeyExistsQ", "[", RowBox[{"x", ",", "\"\\""}], "]"}]}], ",", "opts___"}], "]"}], ":=", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"MatrixPlot", "[", RowBox[{"#1", ",", RowBox[{"Append", "[", RowBox[{ RowBox[{"{", "opts", "}"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Keys", "[", "x", "]"}], "[", RowBox[{"[", "2", "]"}], "]"}], ",", "None"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"Keys", "[", "x", "]"}], "[", RowBox[{"[", "3", "]"}], "]"}], ",", "None"}], "}"}]}], "}"}]}]}], "]"}]}], "]"}], "&"}], "@@", "x"}]}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778695661975087*^9, 3.7786956749401913`*^9}, { 3.779628875776144*^9, 3.779628894013151*^9}}, CellLabel->"In[1]:=", CellID->36261822], Cell["Plot the contingency table:", "Text", TaggingRules->{}, CellChangeTimes->{{3.778696245209495*^9, 3.7786962583941603`*^9}, { 3.7786967619107533`*^9, 3.7786967625170603`*^9}, {3.780333845277779*^9, 3.78033384550488*^9}}, CellID->694202044], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CTMatrixPlot", "[", RowBox[{"cm", ",", RowBox[{"AspectRatio", "\[Rule]", "2"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.77869625966674*^9, 3.778696263648223*^9}, { 3.778696297906794*^9, 3.7786963089638243`*^9}, {3.778696362382608*^9, 3.778696362694684*^9}}, CellLabel->"In[7]:=", CellID->317400465], Cell[BoxData[ GraphicsBox[RasterBox[CompressedData[" 1:eJx1WHk0VWvYV64xQkWJUqkuoihCuD8lFUlpwEVEkgZlKFQqY6VBpFRCxaVE krhRumRMIkJmzuHMZ+9daTDr29+3vn/PXutda++91l7reZ/3+U17sdfxnQfE xcTEvOk1nV7/ey/RNKLh0Uzi0dxCda8rQqTfjfJ4lMmC6tW93zt7CZgvMMt+ X8rF0b8TrbVPteNaxYRelw8BDdvWau9CNnYZ2x9486MRPd2lUTK7CdhJ32Gp e7HxwTQv8bzfB6isKZTJ8adQnW0g2Mkm0eDA83epFMDpYoyDng+FmJJ467w3 JM4Zyw+ZuwlgihVaD24Q+DByWNAcxMFOJTnNTUc+YdmXtUWZJwjstk1OKv7K RmrPrZWZB5swkuuWeMiIxNiPy78LzfjIy1TfYuzai0+na4J1PUjE/vG7o7ub j7DVms9NrBj496qu9eulFBKHnKU9awgYP9XSmujg4q3WvaAFsyk0t0UlfYwi MOzKGWxbwQXj48nrkqsobI//sGAzSeCQQtWk9l88HLmwfnX2IQoJZ9iBHe9J xJTKK505J4DUpiprwW4KBbeD2oLCSFjW+/fdKOBjImMyPtKBQpe2N/PWcRK5 bpriagl8zJ3/tkHKj/6+WG6PiaIAy/QD+YfrGbihPpZ2sZTEcMz51AfmQqz2 Z99s6BhE659Ou++qUOi93VE5Gk9gisGZPseeiydFOY8+XSJRcMLvgsUpAXjr K1Nv9TBhuuzU6rBaAuqTJqbjLlyUB/lNnhxpg3piV6ncPBIBE7GE3WseOrQM oOfVDYZn2firGAI/vN1D/cw4CI+2rTp1rRlzVoUvX5xJIDGjzPNNFQehy8n8 y9ktkH1DdjiLk+DUMj9X7uPhoHtjm8pUJ9xnMirdLUnEnec3nzzIR8lGaZ5A qw8hNQ/mTTaQ2D5Wl3L3nBBXb751OBjNwovLIe8+PSKx2i5f3YsSYLnskugt 8oPwDHutpVVAQupmjf0xZSHih5POdAYOorbj99sqV3q/SV9Yk418cCvb2soX M7BhuFtZGEugVKjMe7ONg/j7FuMRbc2YnqEXxTpCYPWPLdePv2dj2FF8clH6 R+zp+hFUnkdi1fKXLvHSQoxcsnng6TAIyXe33o8sotAQmzBLt5jAw7+N1KUL uSLnVlSd39Rs5BR9SBw13D82+JMPleUBOdQFBux+N314dZqEStV19wkrAfhi rsmKO5mY8h9ZKjCisLpcH9ulSEiIzxrpj+ChyFg6Cx4ULvbHSoVnkMguZrdp zhOAfSrS6bEXiZs1uyQl+XyEv9RsCj7AQMUXi4jzAySuM4/EqX4QImyDdcnE NjYs6o4Gx1aS0Cmsn6PmJESIRPmP3AUsKHr/MeqiQEHWr/RB8kkCntLf25mS XJxZaHxwgkmg/+h83/5GLqZXSb7cVN6OuL/HkjfE0PPj3qJRe0SAgCwFs4QS Jjq8d0uoNhGQCr1lkBnORZlP/py7Vz/Drnvk6c0ZJP4ac31UHU3PiePgk6Ir XahSc94YY0qievTPhsRtfPwM0jC2Tu/Fu/MmqrpTJPzusw7lGhJIKpCRntrL QVzkHyHF30ls+ZvD1JMnEK4pnWM1zBaJ3/SIcifDYRK71cwUnOcTuPhY+n2E KgdcSecxaQMSPJuBM/FafKhdm/WVUOiFhpOd1WJLCi9lPNT4eiQq7MdiN3N4 kJld1ulgSkFmpeUavTkk7gZ4tDhl8LDxUp3/cy8KocNm86LzSYQUyLVMmQpw 4kyIzD9FJOY4qoXdWSJEUtjt5Lm3BhFbdP/57kUkukPEKqL6eTBhXElJ+dqN RSmv76R2EGjcN6rBzuRCvPugmppGO+7m/lhr2EGizWokdE2mEHaM7MFGHgvi H0xalUvo+TjWcDVllRDewf/dHvp3EBIVFhu/z6Bg+Ds3t9SX5tG7mROH2ByR 53vbgdV1QkDgplykg+A7F+zQUKMRhw78NrDK3fSVhON6w2ZtMQIF2synvm1s kbwkCr9qGxYHDt0nYLPQMXZ2HgfRzuvtDu5oQcqrW3a59QRYUV8fb/Xjoilu n+E5y89Q5b72PO5Aose+s+DbIz6Gc9+WeoT2wzX87rO6UAIyl/ZMa53Ogb2J VW9PXhOI1Rfr3xMkbM73Z/weEiL3H0aczgs2tCaLpmV103Pl+iTWuECIuV1N jGxZtkj+F3WOc4pi4krMKTDubf9zxmISeozcvI9VPIwv+6icsIDCL7XIhfY5 BOSEXMv4GzS/jpoopV8nsW/H1WOjNwRQ0nDfHaMxAPlfWjcTUkkkOPdrptcK sHLNvqazjwdgcP2AitkJChLl9TvqhkhsJO+1uHMEMDfQrU8PodCj173x0W8S Ha78vM9SQjj5PryUq0BigJovn5vEQ+mQbbP6py74yNTwiV8EambmJwXo8OC4 tabuuFYndq78eaJ8DYG0bWEVRCsLxJhLNkPlHda2u9z3sCKgI/UixUKVjXla F3w36r+H2+EvM/xoPZNnrVqrGSDErFH5L16eLHymRj3Haf2+l1H+2qpTiKha 6451/myEH5VtjzhEwt1OeQZvugAsjTuP6x4zROLOLWyBQtsQAc353/SvzONB 6pl7hvRAB3YdVVUYNifxUqmr97YLH/EH/QzG2b1oChZzEa8kwC67nXN0MxdH etpvXs5pg0WD9rpETwL5qwMHd6SywU/tP22IRkQHmDE6dEksqtSRs1ThQzZQ o4RV24O524OF8UtJ/Lu5cK3MEA9PXlW5njTtofX2V+0KUwIbLVte3CdYSFY8 Wm3X/A5mD83Zilvp90+dzjLXsdE0rSxt0KQeXj9t9lfNpvV6sDPwxmMeZlwv GI6a142ApGNVf4zT/kD8+ISTOQ9ZXL2vn491isSLc9PoYOo0Cu4vk07nryew P1dfovM8B/L6n/dOHCfQypP6uaeHjfrN/H9C5jaJxIsoPzCLd3nMwZnCJYmo OodYEq2m/5XItvKhz6peIZdAgVvx/PBTWk/al0iMJE8jROqyKJ6faf0zV8qe 5h9m3X+z7/HR+HG5pL9RP57cWv+t3ZVCfsDp2elJJJRt74zl/OLDzedSaGYs hSdfZNuKrCg4Lsix7ikWisRv6iaBu/hDElH+CYZZrQKM615scH4/AFuTlWXO OSScix/5FIwL4D1/ooq/ahBLYyNV2neTKCzlZX0s5GPpZbeg7a/7saT0YuRx fxJuy9VtVBYI8CqtrGqAYGBfeQRjB4dAX2MNp5HJhdGC+gvlsh0idSRocktc QQTtE7aYluxwF2BY1q3jahJTpO86FzM5a5kfhTSLdQ+m0/x9df1M/ZIHAjx7 JD8zkd5/9mIlXXIdrc9bFl9cIk3z3PN7OhV0vwbDys04TwWQcKxWjTswgGll C7de+ZfAizeHfNiKXIzJXBab3daK7z2vI3hJBIqV1LyvXuBgac7lw18KP0Hn ff4t+XISC4aCuV9thPAPL2s7Nj4IX88ujx2JJIa8Z64YoOswdktTf2E1INIn 25YPLLLOJrCFefpDx2cOtCKTPSq+tojkh2uyKyM/tJKYbONF77kjRFGAm7RT LQvbFPqsxFYSCHVFXs1rFmSPnVKVd6iF0ejF6IcaBCyCs2Z+CWPBu+pIzUuv avhM6WBPKwHmZpssnUQuDNbzWwLaPsN4R4T1s1cEfMeXNotp0n73gPEzW/U2 rD0T6zzwlEDRqOIhSSEHyU7TPDUsW8FX9edLnKXx4iQT/LcyB2WzwlKKhpsg nrFy5L4tiZVBr94bxfGROXRle/hQH3YutXipr05i+TprJ98GHi5F95He2d0i dVDZNumFP+3PYksfmD8J5OHfMaOJsxu7RPLbqUt/KSrEEQjQbt7Z6cGB5bgg u0T9k0ifIMoXidLr/YHldyQkKBgtyzoWZ09gZP45xo6HHMit0Ph+8BoFf+dP 7wV0/iD90xyaeoWw7iUV9LRoHys7Q/VACwGJR9uXtY9xcSg/K7TGisQBcqR6 1wk+mIsz0rqO9Imsc0nPwprHWjQezYNSvojzMeqoG9lzvgdFToFu667S/RkI O612QYCz+Yqn5KeYmHHbuntLJO1jayTdWH9SkM/QKQr3F4r0RSaX/hre6Uyi /JxF6+hbPtbc3Pu8/ne/yFzzNUraU3s+BY28QB3/NHruwpIPzAvgiqz/r5HG jj82U7hnWmn+bTOJvRu2RE9q8yEMMN94bDWF5VPdSsvGaF49q9T50IMnUq/H NEKuX5Gm4JaQWtznSsBkhfPioUoOXK8YunjeI0DZl36bn8xB0IZFLV3TWpDu 2HSs1YX2yRuifJrPs2GUc/W6jlMDfF0jO23P0f3s0q4OdBBgf8rMyTknmSJz tChdHhHztTKh9+MkkfPZKYKPs8rf7sQ/6xNZz/KqlemBEXQ9dnlTBVoc5Anq w5qsmrHjnZaTRC2JtcGLNlh7C3HucvlsIVhYv1d23q4QEnAMP7zQWIDdN+TL 7ugz4bfLvEbRngJfqaApgc4lfV4TEpbH+UjmSma9iqFwqq/4KM+QzsEpDgWu N4Qi+/+Ylz/7yD8kXPoeaEUzBYi/1/q4STggkp+bqAD7rJsUrKIo0obm3cs2 N8KmLyMgpm89ZfmbgFXLkoBeex7mVfg8e/ayE2tfW+0XBpHw5fkHW+oIUK5Z PrhIgYmX20I+zO0nURzklmxWJgS3Zbg3WpctMteMcsR+/kMRcE00fbtOkodf iUeOiiV3iPRvzPhylf18EoFKTc8Wc2hfujbxRUECW6QOOpwvrLq5gsLe0Pny VgwCKcqpYtvV6Tn8FLEka4zEpjWkhtufBPakr6p1o/N6W2bMx8u2FCoyX11Y v4dE2s4l1Wl2fEzf7dWvnUzileDjqqpXAtytmvVT4uIA2jULbcPOUch6kWIT q0rBomrvRe2tQpE56BhzEC3/EVhgyjBTN+LC5S1rb+T+NvwyCPYPKiCgWPdE 7PcUB0/8lnTlxLXiQwR5a84ZCh+tr+3JkaN1b49i7nNtocj/JwZ1SovUmF8w /Lrr/uOF3RBr1p+um6IFsf+7voJ5ek7eZmbX/z+Lif0PQd29tA== "], {{0, 0}, {2, 100}}, {0, 1}], AspectRatio->2, Frame->True, FrameLabel->{{ FormBox["\"ColumnNames\"", TraditionalForm], None}, { FormBox["\"RowNames\"", TraditionalForm], None}}, FrameTicks->{{{{99.99762357414448, FormBox["1", TraditionalForm]}, {76.23811787072243, FormBox["5000", TraditionalForm]}, {52.47385931558935, FormBox["10000", TraditionalForm]}, {28.709600760456272`, FormBox["15000", TraditionalForm]}, {0.002376425855513308, FormBox["21040", TraditionalForm]}}, {{99.99762357414448, FormBox["1", TraditionalForm]}, {76.23811787072243, FormBox["5000", TraditionalForm]}, {52.47385931558935, FormBox["10000", TraditionalForm]}, {28.709600760456272`, FormBox["15000", TraditionalForm]}, {0.002376425855513308, FormBox["21040", TraditionalForm]}}}, {{{0.5, FormBox["1", TraditionalForm]}, {1.5, FormBox["2", TraditionalForm]}}, {{0.5, FormBox["1", TraditionalForm]}, {1.5, FormBox["2", TraditionalForm]}}}}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> Scaled[0.02], "RangePadding" -> Scaled[0.05]}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.778696276019925*^9, 3.778696309463193*^9}, 3.778696363500692*^9, 3.77869676438258*^9, 3.778765558950849*^9, 3.779622998741622*^9, 3.779625478576088*^9, 3.780051243845489*^9, 3.780052568217781*^9, 3.780054186282217*^9}, CellLabel->"Out[7]=", CellID->697912481] }, Open ]], Cell[TextData[{ "Find the contingency table ", 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", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.778696384114929*^9, 3.7786964015076303`*^9}, { 3.778696772688218*^9, 3.778696777344678*^9}, 3.78033385848687*^9, { 3.780336308639872*^9, 3.7803363108960977`*^9}}, CellID->307170350], Cell[BoxData[ RowBox[{ RowBox[{"ct", "=", RowBox[{"CrossTabulate", "[", RowBox[{"movieReviewData", ",", RowBox[{"\"\\"", "\[Rule]", "False"}]}], "]"}]}], ";"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778696108474677*^9, 3.778696109250139*^9}, { 3.778696281333379*^9, 3.77869629163877*^9}, {3.778696356948618*^9, 3.778696357553361*^9}, {3.77869639660496*^9, 3.778696405445615*^9}}, CellLabel->"In[8]:=", CellID->435640224], Cell["Show the most prominent words for negative reviews:", "Text", TaggingRules->{}, CellChangeTimes->{{3.778696408505723*^9, 3.778696423951356*^9}, { 3.778696512492447*^9, 3.7786965205923367`*^9}, 3.780333855414241*^9}, CellID->390485629], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ct", "[", RowBox[{"ReverseSortBy", "[", RowBox[{ RowBox[{"#negative", "-", "#positive"}], "&"}], "]"}], "]"}], "[", RowBox[{ RowBox[{"1", ";;", "200"}], ",", "All"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7787656959641237`*^9, 3.778765697562331*^9}}, CellLabel->"In[9]:=", CellID->904077395], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsnXdcFFf3/1cQe8GeWKKgSazRmEQfbFEjdqOPNTHWxBK7olhiiYpd1FgD VrAEhdgwlthFjCCIgFi+WBAMRKTajQj5nd+eV+5rnpktd5fdYXbnvP/wxZ57 5s7Mufd+5tw7RZdvJ/Ue5aDRaKYWg396D5/RzsNj+Kw+zvCj38SpY0ZPHDmi y8RpI0eP9PjPt45g/KqwRnO3kEbz///+hyAIgiAIgiAIgiAIwjbJ02Lxav+P IAiC0IMB8UzVQppMEAQhG/qU882bN/FacnJyrKHJTwnbgZpMTijaqsWwJj96 9AgdLJ4qU5ezOajJ5ISirVoMaDJLkq2RKlOXszmoyeSEoq1aDGgyJskZWiye KlOXszmoyeSEoq1a9GkyJsl3797N1XLnzh34CUbSZNVCTSYnFG3Vok+TWZKM PzFVBiNpsmqhJpMTirZq0anJkA+DEZNktMAf8NOCqTJ1OZuDmkxOKNqqRacm i5JkxLKpMnU5m4OaTE4o2qpFqsnSJBnBVBmKLJIqU5ezOajJ5ISirVqkmoxJ cmZmplRILZgqU5ezOajJ5ISirVpEmqwvSUYsmCpTl7M5qMnkhKKtWkSabCBJ RqDIIqkydTmbg5pMTijaqkWoyYaTZMRSqTJ1OZuDmkxOKNqqRajJRpNkxCKp MnU5m4OaTE4o2qqFaTImyUBycvJfBgEH9MxPqkxdzuagJpMTirZqYZqM2a9J GM2oSZPtCWoyOaFoqxbh2oWcUJezOajJ5ISirVpIkwlOqMnkhKKtWkiTCU6o yeSEoq1aSJMJTuyvyf7888+oqKhr165lZ2eLih48eDBWy9q1awvk2BQebZ3x UXI8bQjSZIIT+2uy/fv3j9KSmJgoKrp37x4WrVixokCOTeHR1hkfJcfThiBN JjixvyYzoCHJycmrtAQGBhbIsSk82jrjo+R42hBMk6WPuvFAmqwe7K/JDGhI gWOL0VZyPG0I0mSCE6NNlp2dffDgQRiYV69ezczMPHXq1ObNm3/88celS5f6 +fk9ePBAX7VBQUFr166dO3cuTGz9/f1jYmJ0ekZHR+/atWvx4sVQ55o1a2Bf ISEhsLvDhw+L3A4cOODr6+vt7b1w4cLly5f//PPP4PPo0SOhW3Bw8LJly1BD du7cuf9fLl++jA6HDh2Cn5GRkfjzt99+g5/wr85jCwsLw83T0tLMOztpWPij /fjx42PHjsFpzps3D84aclHIS6WbQAQgDps2bYIAwrnDWbOTFZGVlXX69Ont 27dD9BYtWrRx48aAgAAI7JMnT5iPKD4yxJMdFfSB+fPnw4nA6aSnpxuIki1C mkxwYrTJMjIycEjCkJ89e/ao/2XChAnXr18X+oOqwEAeM2bMKAm7d+8WeoLC g0XqhowePVroDLqk023cuHERERHMTed+gQ0bNuCx4U9QAPQHdULLrVu3RCcO zp6enlA0efJkOFRTzy6f0Z45c+a0adNEu5g+fbpoc1BUPEgRcPECSRd63rt3 b8aMGTqDA+LMzk4UH2vHE47Ky8tLWv+sWbNu3rxpNJ42hEiTzdiQNFkl8KsE A5QZcqeJEyfiT0hvhP6Q5qEdhh4kwEeOHIF/mfOFCxeYJyRpaPz+++8h24Rx vX79+kmTJqFRpybDoP7pp5927NixZcsWGLboCZuwBBLySSZlkHQt/RfIzZ7q 0hA4HrRAzi868fDwcCzas2ePGWdnkWhDEODEIcJw6UEL/GRpLUxSmGZC3gsX BZjCwIGhhSntU20uCik9az6IHsQQqsXNYXqCbtL4WDWeqampU6ZMQSPs6KAW 6AlogQOGwzYcTxuCNJngxCSVgOyILVY8fPiQ5V3wNxqTkpJQPRYuXPjXX3+x SsCOWgGiipY7d+6AFIPFw8NDOPGHDApUV6rJly5dkqZeIAV4AFDKjAbWP6Ua ArtDWQBdhTMVOsMFAp3v379v6tnpgz/acPogm2wvEHY2SQFxQyOoLlpAylgN 0BYwo0F7bGwsGiHnRMvWrVuFuwNnEE9Qcn3xeWrNePr7+6PlzJkzQk92sT59 +rSBWNkWpMkEJ/wqIRrOQGBgIBYxUYUUCC0wJxU5HzhwAIv+/PNP+PnLL7/o G3eQxUk1Wd/BYyW//vorM5qkIcIjOX/+PDOmpKTgJUP4lBf/2Rk4YM5oS/PM P/74Q9gQMDXAn6DAIs+oqCgs2rRpE1rgmoUWwwss+dfkp9zxfPz4MTQxWHx8 fKRBmDBhgqhaW4c0meCEXyUgqxEVwaDDIpALtKxevXqUdi3idwk///wzOkdH R4MnzJfh77Fjx0rfRNCnyTDVvXz5MqjKkiVLZs2axVYMANAB5maqhrCHbJcv X86MR44cQePFixeZkf/s9JGfaMPBQ7hGaaf58BOug+gJhyqtZ/r06aO0+Tz+ fPToEUoi1ADpd1xcnM5lAYtoMmc84RjQAvmzNJ6oyfb02DNpMsFJflQiLCxM pMlsjdcAoaGhzHPOnDnSPerU5CtXrrClZin50WSArWGyaTWuvk6dOlWoXfxn p4/8RBuYOXPmKO1CK/wN830De8SHJUDZmGXdunXC4wRx9vLyOnr0KLvdpi8+ VornuXPnjAZz3rx5BmJlW5AmE5zkRyXYXRumyZi7Qkq2Vj94Px2G5yjtbSPp HlGToRJmgfQY57mjtFN1UODTp09HRkZeu3YNjfnUZEje0L537174ef36deFP Bv/Z6SOfmoy323CxAuQUPYWPnTBQk8eNG8csIIa//fYb5p9CoE62QG0pTeaJ JxwME159wRTeXbV1SJMJTiyryQsWLBjFcasLwCegQJmlRdI82dfXF3cEQiR8 mPbx48cGNFn67LQ+DQG98vDwwOMBn23btuEBiGrgPzt95CfacOK4dvHTTz89 FSwv67wRhrf5ZsyYIbKnpaVFRUUdOnQIFG/8+PFYw5QpUzB9NazJlo0nXGdx 21OnThkIiN1AmkxwYllNZsuqd+/eNbxf9sxAXFycqEiqyZgfwjAXLT7r1GT2 uJr0Tpw+DXkquNd/4cIFTCZXr14t8uE/O33kJ9qiSUF8fDz+BMUTeT569AjV e+XKlQb2lZqayh6Qw1jpjI+V4nn//n10ED6zZ8eQJhOcWFaTT548iZZFixYJ FyqRv/76KygoCO1nz55lnuyJL8jiwAHvRgk1GZ80A50RvbXH1lSFmgx5IxqF t+cQAxrCJIIhfRuO/+z0YXa0wb5kyRIsgkT3qfapM1z/GTNmTFJSktB53759 6MkeRwE9/+2336THxp5GA4XXFx8rxZO9QqIz1E+1dyuEjzjaOqTJBCeW1WQY aOy1rB9++AFyJBibCQkJoaGhe/bswXwJdRU8wQE9J06cuGzZsoULF2J2hwg1 md0zWrNmDdQJqTXII3tlTKTJLJ+cOXPm1atXIbu7rOWpQQ0BIKtkFYJcSB8I 4T+7/Ecb9BakFc7l1q1bsCP2yLHwq5gw62dHGxERAVc0EOe9e/eyGtgrzCdO nBilXco4duzYjRs30tPTIdUHscUV8ilTpqBc64yP9eLJ7hFDW/v5+V2/fv3P P/+MjY2Fg8T18J07dxqIlW1BmkxwYllNfqqdU+ODWPpgqnX79m18kEDIJC2j tOkfqzM6Oprd49OJUJNh7M+fP1/koO9dYCEgrcxf+MCzEP6zy2e0dTJr1izh kiycjre3t05PiJ7weQzUZH2cO3eOVSiNj1XjaeDl+lGkyf+7IWmySjDaZJBB oR5KXzeIjIzEscNu3COQhgUEBIgeXYNKILOF/FaYL+H3c2CAL1q06Oeffz50 6FBycjK+8AWJqLDOkJAQ9h4uArVBCofHBiml0BlyOTbTR3x9fZ9qb5PhwojO pxqysrJwNQDqZG8mSuE/Oykm5cnCz1NAEr5582bRJyyealURgsbevEYgqYbr ndAtMTERmg/PTsjixYvZ54MMxMeq8YTEGGYfomsubAh14oqKfUCaTHBi1SZL SUmJiYmBaTXMlEVv2uoDhjmuaeCbEUJgJg7jFybyICOiFVSdgLyDP8yIeZzN wIyzM2lWAnoLRw6nANJkWOqh9M6dOxcvXoTICF/61nnMcXFxly9fhn91fmXO AFaNJwg4hBEu7lC/qQdmE5AmE5wUYJPBNFz6JjJ74csuP5Oen5UiwqYhTSY4 KcAm27lzJ4gPzFthVh4UFIQvTaMiTZ48OTU1tUCOyqqQJqsW0mSCkwLXZCkg yPq+ym7rkCarFtJkgpMCbLKoqKgtW7bMnz/f09NzwoQJs2bNWrVqVUBAgOFH F2wao9HOysr68ccf582bFxwcLNdBEXJAmkxwQk0mJxRt1UKaTHBCTSYnFG3V QppMcEJNJicUbdVCmkxwQk0mJxRt1UKaTHBCTSYnFG3VQppMcEJNJicUbdVC mkxwQk0mJxRt1VKwmkwQBEFIIU0mCIJQDgWlyfy7IwqcfLY4YRIUbdVCmkxw QiohJxRt1UKaTHBCKiEnFG3VQppMcEIqIScUbdVCmkxwQiohJxRt1UKaTHBC KiEnFG3VQppMcEIqIScUbdVCmkxwQiohJxRt1UKaTHBCKiEnFG3VQppMcEIq IScUbdVCmkxwQiohJxRt1UKaTHBCKiEnFG3VQppMcEIqIScUbdVCmkxwQioh JxRt1UKaTHBCKiEnFG3VQppMcKIolXjy5MmjR48K+iisiKKi/fbt25cvXxb0 UagF0mTzSExMfF/L2LFjC/pYZMJoi4eGhrobY/Dgwcz/3r17hp03bdok2sXN mzf79etXuXJljZYSJUp88sknu3fvzs3NNbsrKhOe8WVGAJG8vDwobdas2ZUr VwzUDzo8Y8aMFi1aQJwdHBwaNmw4fPjw+Ph488+K4IA02TxgOKAsfPnllwV9 LDJhtMUDAwM1xqhRowbzv3r1qmHncePGCev39fV1dHTEokKFCrG/gU6dOkEu Z3ZvVCA848vUADJYS504cUJf5enp6aDG0jorVaoUERGRr3MjDEKabB5//vln By0//vhjQR+LTBht8aioqFH6eeedd/Rpctu2bXVusnfvXuYcGRmJIvzBBx9s 27YtJSXlyZMnoC3t27fHSubNm2d2b1QgJmkyTwCBffv2LVu2rEePHuxyZkCT u3fvjj59+/YNCgo6derUrFmzChcuDBZnZ+fnz59b5jwJCaTJBCf5afHU1NRS pUrBcAZBYEYmKSLp0MnYsWPR+datW0L7q1evXFxcwP7RRx+Zd2zKxCRN5gkg 8N5774mSXn2aDCkH6ja0l3BdaN26dbihn58f/7kQJqFwTYaMyMfH5/Lly/D3 gQMHpk2b1qVLl4kTJ8IVPzMzE31gJrV8+fL+/ftD/5kxY0Z0dLTOqqADr1y5 cvDgwVDDlClTduzYAbMzocOePXtgX9C9dW4eEhLio4VtBd0Sfl66dEnqfPz4 8YULF/br169bt24eHh5Qs9EzVT75aXFUVAcHh5iYGGY0SVI6duwIniAU0ptN mNEVL17cvGNTJtbQZG9v7x+0fP3114Y12cvLCx2uXbsmtOfl5eFifuvWrTlP hDAVhWtykSJFoAOA3n7++eeiSzyoa1pa2tSpU2GkC+2lS5cODg4W1bNixQqs SghkVjAjZj6gnzjq4+PjpUfy8ccf49Q7OzsbLZj4TZ48WeiWlJQER6uRALPL 27dv84dXgZjd4rAVznm/+eYbod0kSZkzZ46+DK1OnTpg79q1qxnHplisocmM 8+fPG9bkzp07Q2nZsmWlN0+xe8Mwsb/7qgrBJjQZAe1t3Lixm5tbiRIl0FKu XDn8o2LFiu3atatZsyb+rFu37pMnT1glCxYsQHv58uUHDhwIKgoKiZYyZcrc u3cP3fbv34/G+fPniw7jjz/+wKK5c+cyo1STIXWvX78+ekI2DvXArt3d3dHy xRdf8IdXgZjd4r1794bTd3Jyun//vtDOJAWmG3Atg/lyTk6OvkquXLmCzqAG kMW9fv0a7XD9RfuWLVvMODbFYpIm8wRQiFFNxgykVatW0qLFixfjtqmpqTz7 IkzFVjR56NChCQkJaAwPD2eyXLt27cOHD6MdMtiePXui/eLFi2gEyYXMGSwN GzYUZqq+vr7oOXz4cLY5Lri5uroKJR34/vvvNZIUWqrJS5Ys0WgfCdi9e7dw cxBn3NfBgwf5I6w0zGtxdjkbP368qEj62ACErkqVKhMmTND5wNWGDRtA2NET ZtDTp0/ftGkT9hBooDdv3pjZFxWJSZrMGUCGUU2uWrWqRs/Ugy0px8bG8p8O wY9NaDIMZ5Ed51YlS5Z8/Pix0P7bb79hh2FLuD/88ANaoEhUCXQ5jTb9fvDg AVogDUbno0ePMre0tDRIsDWSx95EmgySDlk3WEaOHCnaEeTPuAo3depUo6es WMxr8ZYtW2JLSV/xMPAoV7FixUJDQ6W1rVq1SuoMgmxmL1Qw5mmy0QAihjU5 Ly8P15r69+8vLd2+fTtue/LkSVNPiuDBJjQZMiKRffTo0RrtbR2RPS4uDjvM Tz/9hBacOFerVk1aOeg2Op8+fRotkF3g7eYBAwYwNz8/P3Q7dOiQcHORJkPa gG7Tpk3bL+H999+Hov/+979GT1mxmNHiMC/AmMyZM0daCpPfZcuWHTlyJCIi AmoOCwuDULu5ueEmFSpUSE5OFvrDDB37g6en57hx48ABPeGqOnPmzL///tvs 3qhAeKJtagAZhjU5JycH8m0oHThwoLTU39+fNNmq2KgmT5kyRacmJyQkYIdZ s2YNWpo0aQI///Of/0grDwkJQWdfX19m7NGjB6YZSUlJaMEnYF1cXEQLGiJN ZsvRBoDxYvSUFYupLQ5Du27duigOEDr+DQcPHozh2r17NzN6e3uzxkLL69ev QYJq1KiB9o4dO/LvQvnkZ3zpDKAQo2sXeL3r1auXtGjjxo24Lb05YiVsVJOn Tp2qU5MfPHgg0mRcIu7UqZO08sjISHSG8c6MLLWDaTL8vHHjBuYMCxcuFG0u 0uRNmzbhhs2bN++mB0jwjJ6yYjG1xSGtZZE0qW/cvn0bN4TYogXkHe/nwpVR 5JyZmdmgQQP0NzBbtznyM76kARRhVJPxVrW7u7u0aPny5bgtJC3mHR5hGLvX 5FatWmm0j71JK4cOic6//PILM0JGV6tWLbYJLkfjMwOizUWafPz4cawtICDA 6HnZIia1+PPnz9mLe+wZCU5evXqFkWRz5/j4eLSMGTNG6s9UAq4CJu1IyeRn fEkDKMKoJrdr106jvYEuLcJlQ8DOFouUg91r8pAhQzTae0wpKSkiZzaWw8PD hXb2mAR0XUyz+/btKz02kSaDaONWkyZNMnpetohJLc6eP9y2bZupfSM6Ohq3 hYZAy507d9Ci8wMOe/fuxdK1a9eaui/Fkp/xJQ2gCKOaDNc+dHj48KGoCNej pBMWwlLYvSazGbSXl5fQE+a8+Dxz5cqV09LShEV3797F+86QJ+C2x44dkx6b 9Fk4vJEHSTW+eCgiIiLi5MmTRk9ZsfC3+KNHjzA49erVM/BpoAMHDkBGJ7Xj bVngyJEjaMnLyytbtixm3dKl6QkTJqB/ZGQkdwdUOjzR5g+gCKOaHBYWplPV L126hHa45vKdB2Eydq/J2dnZuN4IMrt69Wp8M/r27dvsxcD169dL98uec9Zo P3qj89ikmsyWL5ydnVesWIFvo0COFxgYCOm6g4PDjBkzjJ6yYuFvcZZlgWgY cCtdujRcEGF0X7hwISMjA+bCUVFR+DalRntbVvimGD4irtEucrLHCcBhy5Yt +CJnkyZNzO6NCoQn2iYF8B/tglK2FtBq9AkKCkKL9JtCOGogtjDTAYc3b95c vHgR16PASIvJ1sPuNRmA7BSfHMYkln19V6N9t469Ky3k8OHDzGfp0qU6j03n u9UzZ87Ee4JI0aJFNQLUoMn/9++b1M2bNzfsie/yMIRxq1ix4o0bN4TOL1++ /Oijj7C0RIkSrVu37t69O678A1WqVIGmN7s3KhBOTeYPIMBedJUCMxqRMygw pBZY6ujoCGON7QXyDUueKvG/KFyTixUrBt0AhE5k9/T01GhXiUV2uHxjz1m7 dq3QHhcXJ/oYLPQxmJfpFOSn2jt9rq6uGu1DcYmJiTp9UOc9PDxE9pCQEDc3 N9QlRtWqVcePHw9pjNFTViycLT5o0CA85bNnzxr2hIsdPqkoBOI2dOhQmM5I /SGXmzdvHnuFk/mPGzdOp79NwxNtUwPILmFS6tevL/WHUdOoUSOh1MO1b8+e PZY5Q0IPCtdky/Lw4cPjx4/v3LkzIiIiKyvLqvvKzMy8evXq/v37QZqkz2zY IvlscX2kpaVBoIKDg3/99VcQAaN381+8eBEdHQ3Ou3fvvnLliklPPtsQ/NE2 NYCmAnnLmTNnDh06ROsV8qAqTSbyg5U0mdAJRVu1kCYTnJBKyAlFW7WQJhOc kErICUVbtZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQ SsgJRVu1kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQSsgJRVu1kCYTnJBK yAlFW7WQJhOckErICUVbtRSsJhMEQRBSSJMJgiCUQ0FpMv/uiAInny1OmARF W7WQJhOckErICUVbtZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQJhOckErICUVb tZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQSsgJRVu1 kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQ JhOckErICUVbtZAmE5yQSsgJRVu1KFyTZ8+e7enpefTo0XxoiQkcPHgQdrdw 4UJ5dmdbmNrif//9d1ZWFr//s2fPTO9H/7x69er169dmbKhwrB1tQrEoXJOL FCmi0WimT5+eDy0xgXHjxsHuypcvL8/ubAueFk9KSlq1alXbtm2rV6/u4OAA wSxbtuxnn33m5+eXm5urc5MzZ87069evVq1aGPlOnTqtW7fO8F5u3ry5bNmy /v3716lTp1ChQrDhp59+amZHVCqWjXZoaKi7MQYPHmzNEyJ4IU0WQppsAJ4W /+ijjzR6aNOmzZs3b0T+/v7+Tk5OUucRI0a8fftW5y5gk+LFi4v8q1atanZX VCaWjXZgYKA+T0aNGjWsfE4EF6TJQkiTDcCvEo0aNZo7d25AQMDOnTshBy5d ujSO+lmzZgmdIyIi0F65cuWVK1eGhIRs27atefPmaFy0aJGo8ry8vDFjxmBp qVKlxo4d6+vre+TIkQ0bNowcOdLsrqhMLBvtqKioUfp55513SJOVA2myENJk A/C0uIeHR3BwMIin0Hj37l0UCldXV6F99OjRYIQmhpk1M2ZmZtapUwfsLi4u onoOHDiAatOyZcv79++b3fdsAotHWx+pqalwgQP/Hj16mH+4hOWwFU3Ozs7e t2+fp6dnly5dvvvuOx8fn/T0dKFnWloapEyLFy8eP378gAEDoIMNHjx4wYIF N27c0Fd5XFwcpGfgDHVCogWTYviXNFkf+WnxXr16oZw+efIELS9evChTpgxY evbsKXLeuHEjOp85c4YZQXmaNGkCxipVqoBum3cYNoRlo20AmG6Ap4ODQ0xM jHm7IyyLTWgyaGbTpk1Fy18tWrRISEhgniDIOlfJHB0dJ0yYIK1569atmB5I IU3WSX5aHObUENhChQq9fPkSLWFhYRjtVatWiZxv3ryJRfPnz2fGgwcPonHX rl3mHYNtYdloG9hL4cKFwfmbb74xb1+ExbEJTUbgUt6wYUOQYqalXbt2ZZ6o yeDv5ub29ddfjxo1CkrZzaD169cLq92+fTurs1mzZoMGDerevTtIMWmyAcxu 8bdv37733nsQ2GrVqjHj4cOHMdqnT5+WboLtPmbMGGbBKQxcYZ89e5aYmPj7 77/7+vpCO54/f17f3UCbxrLR1kfv3r3B08nJye7XgmwIkSabSj73a1QHcGzC pXz8+PFJSUlovHv3bqNGjXBEh4eHM8XYs2dPSkqKcPPY2NhKlSqB2+eff86M jx49qlq1KmrvsWPHmB1mxP379ydN1ofZLb5jxw5sLA8PD2bcvHkzGq9cuSLd BK+PoBjM0rFjR8z98A8hrq6ugYGBZhyYkrFstHXyxx9/oCcMLrOOkbAKIk02 Y8P87NeoDqAmQ+8S2UFLsTtNnTrVcA3Dhg0DtwoVKjDLmjVrcNsNGzaInOke nwHMa/Fbt27hLSf49+HDh8zu5eWFrXDz5k3pVpjpwZyIWT788EMmwpAt16xZ EyZNuCKN8x2YKJnXFZWJZaOtk5YtW4JnyZIlIUsx9zAJy2MTmix97uLJkyeY SkFmK7Tfu3cPn4zCJehatWqVKFECM23m891332m0T9dnZGSIqiVNNoAZLZ6c nFy7dm2Uzb179wqL5s6di/b4+Hjphi4uLiJNxmWoGjVqbNmy5cWLF2h8/fo1 u8KCtqSlpZneExWKZaMtha3Pz5kzJx+HSVgeG9VkAJcv3Nzc8Gd2dja44Vtd UoSa3KpVK7A0btxYWidpsgFMbXHIvlhyu3TpUlHp+vXrsSg6Olq6La44devW DX/m5ORAbgwWne+aeXp6YlUwe+I/PIVj2WiLgHjWrVsX5488z2YQcmK7mvzx xx9DUbNmzfAn3q0AIKH65ptvFi1aFBAQcOrUKVy7EGqyq6srWNq3by+tkzTZ ACa1eGJiIo56YMGCBVIH9mbZpUuXpKWYFX/77bfMgplzhw4dpM5QA1bl5eXF eXjKx7LRFuHj44PO0odeiALHdjW5WrVqUNSvXz/4+88//8T3/T/99FOYCwvd Zs+eLdJkSK0pTzYD/ha/ceNG9erVNdpbcvo+XnHhwgWUBemzbX/99RcWCd9E c3d31+h5D+LOnTvoP2XKFO4OqHQsG20hz58/Zy/u2eXnm2wdG9Xku3fvogiD 5MJPSIlxVG7btk3kKdXkAQMGaLQ3QR4/fixyJk02AGeLnzt3rly5chrtE1a7 d+/W5wbCiy04YsQIUdHevXuxNf39/ZkR36qGdpQuGp89exb9N2/ebEofVDSW jbYQSKTZYMn3YRKWx0Y1mX334Pfff4ef7MGqlStXCt1g/Pbo0UOkyeyOv+i5 i5SUlHbt2pEm64Onxf38/LDJnJ2dhW/h6aRz584a7ccuUlNTmTEvL69Tp054 0YSMjtnZO0HDhg0T1YOvSOhbmrZRLB5t5NGjR/h4f7169ezyuW47wCY0+dNP P/3111/xZWrYCt8G1QjeGWEvhdWqVWv79u3379+PjIwEycWlY5EmP3z4EJ8X gsrXrFlz/fr1y5cve3t740PLpMn6MNri4eHhmn9ZvXr1cV0IV4+DgoLQuU2b NrGxsaDGcFmcPHkyGqWfFYLmZmsa+OjFs2fPpk6dikZQZrN7owKxeLQRlswc OHDAmodPmI9NaDIDH2xD3n33XciLmGfPnj01+hFq8lNBqqwT0mSdGG1xmEcb iCoC6Rnzz8nJ+eqrr1hRyZIlhW5JSUmi+u/evcseSHZ0dIRrKK5+AO+//35G RobZvVGBWDza/wjepG7evLmVD58wH4VrcrFixaALffLJJxUrVhR2tg4dOkAy LPSE7Fc4wDXaSTFoL+RUGm1KLKp5/fr1RYsWZc4w+1u1ahWuJwtfMCEYRluc 3bYzQIMGDYSbQG48ffp09nlJjXZdtEuXLvq+MgSt/OWXXworBJHx8PBgTyzb DdaI9qBBg9B+9uxZKx8+YT4K12RGeno6TMT27Nlz8ODBBw8e6HOLi4vbu3cv uJ0/fz4rK8tonZBs+Pv7R0ZGZmdn8x+MOslnixsAlPnWrVuBgYFhYWGvXr0y 6g8tGxoaum/fvqioKHt9csB60SYUjq1oMlHgkErICUVbtZAmE5yQSsgJRVu1 kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQ JhOckErICUVbtZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQJhOckErICUVbtZAm E5yQSsgJRVu1kCYTnJBKyAlFW7UUrCYTBEEQUkiTCYIglENBaXJBT8cJE8hn ixMmQdFWLaTJBCekEnJC0VYtpMkEJ6QSckLRVi2kyQQnpBJyQtFWLaTJBCek EnJC0VYtpMkEJ6QSckLRVi2kyQQnpBJyQtFWLaTJBCekEnJC0VYtpMkEJ6QS ckLRVi2kyQQnpBJyQtFWLaTJBCekEnJC0VYtpMkEJ6QSckLRVi2kyQQnpBJy QtFWLaTJBCekEnJC0VYtpMkEJ6QSckLRVi0K1+R58+Z5enoGBwcbdlu6dCm4 7du3zzLqQ+jCqirx9u3b9PT0vLw8Tv+XL1++efPGSgejBEyN9t9//52VlcXp nJubm5yc/OrVK07/zMxM+462olC4JpcqVUqj0UyePJlZ5syZ876W6OhoZqxR owa4DR061CpiRGgxr8VTUlK6d+/u7u6+fPlyUVFGRsbWrVu7du3q4uJSuHBh aEEnJ6datWrB5TUxMVFnbQkJCd98802dOnUKFSoEzg0aNJg4cSK/FtkQPNFO SkpatWpV27Ztq1ev7uDgAAEsW7bsZ5995ufnB6or9Qdd3bhxIwStSJEi4Awx rFq16nfffffgwQOp56+//jpkyJCGDRviGHR0dIRmgiF2//59i50koQub02To QhotYWFhzEiaLANmtPjz588/+eQTbK+BAweKSnv37q3RQ4UKFW7cuCHy3759 e8mSJaXOVapUuXz5stldUZnwRPujjz7SF8A2bdqIMltowSZNmjAHvAgiINGn T58WOh84cEBfzeB85MgRy58w8S82p8mrV6/uoOXmzZvMSJosA6a2OKRqPXv2 ZGNZnyZDYjxt2rQdO3aALMC/bm5u6A/pnND5ypUrKCPOzs7r1q2LjIwMCQkZ MWIEJHtgrFevnp1Nrvk1uVGjRnPnzg0ICNi5c2e/fv1Kly6NAZw1a5bQuW/f vmgfN24chC4nJycmJsbLy6tEiRJgLF++fFpaGnNGTS5WrBikyhDt4OBg2AW7 BIAzTH+sctqEDWqyTkiTZcDUFp8yZYowH5Nq8tKlS0FGQByERpDW5s2b4yap qanM/vHHH2u0ixtwLRb6z58/H52XLFliejdULjzR9vDwALUULcLfvXsXZdnV 1ZUZX7x4gQ3Rv39/USU+Pj4YQNBhZvzjjz+mT5/+119/iZzHjBmDztBw5pwV wYHNaTIkSNCLNm/enJ2dzYz6NBm6lo+Wo0ePCu0JCQk///wzJAydOnWCTACG c1xcXP4Uy/4xqcU3btyIg9fX1/e9997Tqcn6+OGHH3DbqKgotGRlZWE+PHz4 cJHz69evXVxcoKhatWqc9dsE+RlfvXr1wgA+efIELREREWiB2Iqcr169ikXS BX8p0dHR6AyXA/OOjTCKzWny4sWLsVc8fvyYGXVq8tmzZzFhKFOmDPzN7Pv2 7atUqZJolQx2tH79ektIl93C3+JwBXR0dISoenp6wk9TNblz587gX7RoUfZg wJkzZ7CZfvrpJ6n/t99+i6X67gzaIvkZX/369dNob+G9fPkSLc+fPy9WrBgu 8jAjsnv3bozelStXjNZ848YNdJ4xY4Z5x0YYxV41+eLFi87Ozhrtnehz584x +44dO3DzypUrT5gwYcWKFRMnTixfvjwaT506ZSEBs0M4WxxSKbwU9unTB6fV nJqcm5sLORs0B7aFl5cXK4JLKhpXrlwp3RA8sRSmRSZ2Q+Vi9vh6+/YtBlw0 cejatStGqVGjRrGxsWgEfW7VqhUYq1evzvMgIsxPsZItW7aYcWwED3apyWFh YSizIMjnz59nbikpKe+++y7YW7ZsmZSUxOz379+vWrUq2Js1a2YB8bJTeFo8 OTkZRjdGkuVjRjUZ2qVDhw7syggZHcisUCKysrKwqG/fvtLNt27diqXHjh0z qzMqEbPHF8s6RMsLDx8+hEZhE0N3d3d/f//27dvD3zVr1oyJiTFa8+vXrz/4 4ANsIBh9ZhwbwYP9aXJkZGTFihU12hv0Fy5cENaG2xYpUuT27duiHXl7e+N0 Ly0tLV/KZb8YbXGYIDdt2hTH+KNHj5jdqCZDtcJ1pP79+0slok6dOlgKCiy0 P3v2DOY7WHTmzBmzOqMSMW983bp1Cycp8C+IsKgUGhFzEiElSpTgXPMZMWIE bjJlyhRTD4zgx840+dq1a++88w4KckhIiKi2r7/+GorAeb+EOXPmYLUREREW 0jB7w3CL5+bm9ujRA+cmcXFxwiKjmpyZmTlv3jzI6/r06YOPZjk6Ovr4+Ah9 Tp8+zR7h+M9//jNp0iToFV9++SV79AuAS63ZHVJpmDG+YJJSu3ZtDMXevXul pfic4YcffvjTTz+1bt2axa1evXqQyRiufNmyZejcpEkT/hcACTOwJ01u27Zt tWrVNNrnry5evCit7dNPP9UY48iRIxZRMPvDcIuHhoZiAIOCgrL+F1wX6t27 N/7U+YoZIz09vUGDBjidiY+PFxb5+flhfxAC6u3k5KTRznHsSStMHV8wMQGx xZgsXbpUVArNh63w0UcfsWUHqH/QoEH4QAsMGZhU6qscNBxrdnV1BW0343QI fuxJk4WsXLlSWhu6QQrdTT/h4eGWEDA7xHCLw0XQ6PUOAfU23DeCg4PRc/Pm zaKijIyMVatWjRw5smfPnjCVhuTt3r17+O4JzI/M7o0KxKTxlZiYWLduXQza ggULpA4QNCz19/cXFbHbdh06dNBZ+fLly9HBxcUlISHBlJMgzMHONLlZs2ZV qlTBv7ds2SKqDedrjRo1spRMqQpLaTJ4Gu0b6AntbrQjvXnzBlscrqcm90IF wz++bty4gfdVIeNdt26dTp+BAwdiSIWv4SA5OTllypTReVHLy8vz8PDADWHU 0Lt78mBPmvzZZ5+B8Y8//ihbtqxGO6sNDAwU1oY3KWBS/ODBAwuKlUow3OJv 3759pAe8r9SrVy/8CZ6G+8apU6ewiVesWGG0I8E8nVPqbQvO8XXu3Lly5cpp tG847t69W5/bN998g1ESvkDNwBy7Zs2aQuPr16/x/otG+5ySXX7oSZnYkyaz Z+F+//13fEIe/j1x4gRzY48J9enTR7ovmBf7+PiYr1n2jtktrvMeX3p6+t69 e0UvVv+jzc06duyIzST6MI6U8+fPFy9eHDzbt29vxoEpGZ5o+/n54RfenJ2d DT9zsnr1agwp/CEqguy3aNGiGu2CPzOCdIMO4yb9+vWzp4V65WOXmgzAeMdX yWBeFhoayuyff/45bt6hQwcY0aAMIMWQYkFfxXvWT548sZCG2RuW1eSYmBjM zby9vS9dugRp2MuXL6Gl3N3dsYGaNm0q+qzQ2bNnIyIiIH8DZ/AcP3483p8q Xbp0eHi42V1RmRiNNpwyWw6C3ntcFxBYdL579y4OJchSdu3axSqBCSNqL0Ty 6NGjzM5eMGnSpMmxY8d0Vi5dBiEsgr1qMvDzzz+jZ8WKFaOiotAIUuDq6so6 s4ODg/CjhaTJBrCGJusD5uO3bt0S1cPeoRbSoEEDe3oEjmE02ufOnTMQQKRe vXrMn71DDdSpU6dHjx6gxpghA3PnzhVWzlIXA+zbt89aJ69uFK7JePfBw8OD Wdj6ofDlDki3NNoP1Ig2Z2/dgmgnJyejETacPXs2e2sMAXGG+e+mTZssIF52 itktXqtWLYjwoEGDhMan2tYRftGXNcTIkSN1LnsKNdnJyalx48ZwsX7+/LmZ XVDZGI32hQsXjMqm6HunMLlg39xj1K1b97fffhNV3q5dO6OVBwUFWf60CcVr slWBidupU6cOHTp09erV9PT0gj0Y5ZPPFtdHdnZ2dHR0cHDw/v37Y2NjDSxd wszo999/BymIjIx8/fq1xY9EUVgp2v9oX7I+e/bsjh07jh07du/ePcOPixPy o2ZNJkzCeipBSKFoqxbSZIITUgk5oWirFtJkghNSCTmhaKsW0mSCE1IJOaFo qxbSZIITUgk5oWirFtJkghNSCTmhaKsW0mSCE1IJOaFoqxbSZIITUgk5oWir FtJkghNSCTmhaKsW0mSCE1IJOaFoqxbSZIITUgk5oWirFtJkghNSCTmhaKuW gtVkgiAIQgppMkEQhHIoKE0u6Ok4YQL5bHHCJCjaqoU0meCEVEJOKNqqhTSZ 4IRUQk4o2qqFNJnghFRCTijaqoU0meCEVEJOKNqqhTSZ4IRUQk4o2qqFNJng hFRCTijaqoU0meCEVEJOKNqqhTSZ4IRUQk4o2qqFNJnghFRCTijaqoU0meCE VEJOKNqqhTSZ4IRUQk4o2qqFNJnghFRCTijaqoU0meCEVEJOKNqqhTSZ4IRU Qk4o2qqFNJngxNQW//vvv7Oysjid8/LyYBf8lb99+/bly5f8/jaHojT5yZMn jx49KuijUAs2ockBAQHva/nll1+spzl//fVXbGzs9evXrbcLm4anxZOSklat WtW2bdvq1as7ODhoNJqyZct+9tlnfn5+ubm5Un+QYh8fn5YtW5YpUwacK1eu 3L59++PHj+urH3R4xowZLVq0KFGiBNTfsGHD4cOHx8fHm90PFYup4wsi6e7u 3qxZsytXrnBukpKS0r17d9hq+fLlOh1u3rzZr18/aBSNFoj5J598snv3bp1N SVgKm9DkTZs2Ya/YsGGD9TRn5cqVuJc///zTenuxXXha/KOPPtLooU2bNm/e vBE6p6WlgVGn89ChQ6WVp6engxpLnStVqhQREWF2V1Qmpo6vwMBAjMaJEyd4 /J8/fw4Ci5sMHDhQ6uDr6+vo6IgOhQoVYn8DnTp1gnkK/7ERJmETmhwcHNxB y+HDh62nOaTJhuHX5EaNGs2dOxdmNzt37oREq3Tp0hjYWbNmCZ379OmD9h49 ekBuHBMTA/41a9ZE465du0SVQ1KHRX379g0KCjp16hRUWLhwYbA4OzuDyJjd GxUI5/jat2/fsmXLIIBMM3k0GRLdnj17Mo2VanJkZCRW+MEHH2zbtg0y6idP noDswywGN5k3b56ZJ0YYwyY0WR5Ikw3D0+IeHh5wAYV5tNB49+5dlGVXV1dm BDeM9qBBg4TOkAxXrFgR7FWqVBEuR0OjoEqA/gjnzuvWrcN6/Pz8zO6NCoRz fL333nuiWQOPJk+ZMgU88XKmU5PHjh2LRbdu3RLaX7165eLiAna4+Jp0OgQ/ Ctfk7du3+whISEhAe2ZmJsytwHLt2jXRJtCL0Bku7kI7DOr169dPnDixV69e w4cP//HHHw8dOgSjHkshK4OMDvvh6tWr2R7Pnj1rCT2zB/LT4hBzjC2kW2gB 9UZLYmKiyBlaFou2bNnCjF5eXmiEFhc6g/7jgmfr1q3NOzZlwhltb2/vH7R8 /fXXnJq8ceNG9IQ4o6RLNbljx45gh4ug9EYqzlaKFy9u0ukQ/Chck4sWLSrM AWCGi/akpCS0rFq1SrTJ7t27sQjmX8wI3a98+fIaCZCS4WFgbiZl6NChllM1 2yY/LY7Xu0KFCrEx3qFDB412zUHqzBoXLp3M2LlzZ432jqH0BlP//v1RQOzp 3pOp0T5//jyPJh89ehSnG56env/8m2ZLNXnOnDn6Zh916tQBe9euXfmPjTAJ hWtyu3bt3Nzc6tWrlx9NPnnyJPbDMmXKQAIwadKknj174hQM8y7w6datG5sG fvrpp27/smjRIosKmw1jdou/ffsWY1utWjVmxLt7pUqVEi10/KNd7XRycoJS aCxm/Pjjj8HSqlUraf2LFy/GhktNTTXj8JSJNTQ5OjoaF5H69OmDYdenyVeu XMHaYODADOX169doZytOwikMYVkUrsnI77//nh9NHjx4MAry7du3hZ6BgYFN mzaNi4vDn7SebBizW3zHjh0YWA8PD2aEKyMaIf7STapXrw5FzZo1Y5aqVavq S8/YknJsbKwZh6dMLK7JycnJLKpstqJPk4ENGzbglVGjfUZx+vTpmzZtKlKk CPz8/vvvRY/QEBZEDZrcsmVL+Fm+fPn09HQDeyFNNox5LX7r1i3MzeDfhw8f MjtrpkaNGoleLYGGw6UktkQMSR3ekOrfv790F9u3b8eqYEJk6uEpFstq8vPn zyH9gNKaNWsK3/4woMkADC6NBBBkU8+FMAk1aPLs2bPRAlkWVJWdna1zL6TJ hjGjxSE3q127NkZ17969wqKcnBx3d3csKlu27JAhQyATGzZsWOPGjdnw/+qr r5hzoUKF9KmHv78/abIBTc7Nze3RowfGWTQrMaDJPj4+mBV7enqOGzeuQoUK WL+Dg8PMmTP//vtvM06K4EENmgx/sMd+NNo1TMicoV+xpzgQ0mTDmNrikI99 +OGHGNKlS5dKHeDi2KpVK2kmhlNsANqIOaMm9OrVS1oPe5DAnt4csaAmh4aG YlFQUFDW/4IrQr1798af7Capt7c3buLr64uW169f+/n51ahRA+3CpX7CsqhB kwHoqM2bNxeNfRDnWbNmMR/SZMOY1OKJiYl169bFeC5YsMCA59mzZ6dOnTpg wIC+fftCqhwYGBgVFYUbQqrG3OrXrw8WSK2lNSxfvhz9oVeY1AmVjAU1+eLF i9ILn05Avf/RzkrKlSsHP11cXERVZWZmNmjQQOhMWBxb12RIwETOOjUZgYnb 1q1bx44d26hRI9YPd+3ahaVMkx8+fJgP6bJb+Fv8xo0bmOsWKlRo3bp1pvYN ds9OmPe2a9cOLLVr15b6jx49Gv3taUJdIJoMnuAfHx+PP8eMGSPdEbsCCq+Y hAWxUU2GeTFaYHorcjagyUJ27tyJbiNGjEALm6/du3fPRLlSBZwtfu7cOcyy nJycoC1M7Rgwg37nnXdg8y+++EJoB31gV0zRJpiQS5M6m8aCmvz27dtHenj3 3Xc12hUh/Ilfsbhz5w5WNW7cOOmO9u7di6Vr167NzwkS+rBRTQbwHZDWrVsL PdPS0r777juRJq9fv160dAxkZ2fjIjNkWWiBhBk3hN2ZKVt2DU+L+/n54Y0h Z2fnM2fOmNorXrx40bdvX2yFkJAQYVFYWBja58+fL7RfunQJ7YZXSGwOC2qy AXTe48vLyytbtizYa9Sowd67ZEyYMIGNL/4dEfzYriaDGqNxzpw5169fhx4C F25XV1c2EWOaXKdOndKlS4NbeHg4vkwN/lOnTkU3X19fdGO3Qtzc3OLi4jIz M69cuQJZn0WFzYYx2uIQXhb81atXH9cFSCjzBwWGRDo1NRXSM5gvBwQEsIc0 dD7zhiuZDg4O27Ztg0vqmzdvYK6NSTUY7Wkx+R/u8fX8+fNsLUeOHMHQBQUF oYXno0z6nrv4/vvvsTZ3d/fk5GQ05ubmbtmyBT/B2qRJEzNOiuDBdjX56NGj Gl2wD2QJNZmVFi1aFGfWSLt27UB7WZ2gxqLa6N1qhtEWh+uXzhYRUq9ePebP bgoIgSG/cOFC6ct9/2jXRSH9Zq1cvHhx/LtQoUIrVqwwuysqE87xxT6jZzjU +tCnyS9fvmSfXS1RogTkP927d69VqxZaqlSp8uDBAzNPjDCGTWgyywGEmgxs 2LChVKlSrBNCMgwTWLZQfPXqVXTbs2dPhw4d8PrOgNnZzJkzRd8pgvS4bdu2 Qje2skEYbfELFy4Y1WTIdZm/SJMrV67cuXNnw88YQwM1atQIn1Vm+gDta3Y/ VCyc44vppJT69etzbi76NB8Cafa8efNAkIV1Fi5ceNy4cenp6eacEsGHTWgy u20n/UobTKxgFPv5+cHEWd/LIEhGRsa1a9cOa4mKijLwTl9CQsKpU6dgXzCh 5jxCNZDPFpcCc2GYyxw6dOjYsWNsgswDNPSZM2dgQztbrxBi8Wibx4sXL6Kj o3/99VcYg1euXJEuLxMWxyY0md22gxmTVWWHMIBCVEIlULRVi2I1ediwYQsX Lty8efOoUaNQkOvVqyeb/hBSSCXkhKKtWhSryaKFssKFC4sWkwmZIZWQE4q2 alGsJg8ePNjFxaVMmTLwb48ePcLCwmQTH0InpBJyQtFWLYrVZEJpkErICUVb tZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQSsgJRVu1 kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQSsgJRVu1FKwmEwRBEFJIkwmC IJRDQWlyQU/HCRPIZ4sTJkHRVi2kyQQnpBJyQtFWLaTJBCekEnJC0VYtpMkE J6QSckLRVi2kyQQnpBJyQtFWLaTJBCekEnJC0VYtpMkEJ6QSckLRVi2kyQQn pBJyQtFWLaTJBCekEnJC0VYtpMkEJ6QSckLRVi2kyQQnpBJyQtFWLaTJBCek EnJC0VYtpMkEJ6QSckLRVi2kyQQnpBJyQtFWLaTJBCekEnJC0VYttqLJmZmZ Dx8+tJ7gEEaRRyXy8vJevHhh7b0oH7OjzRnAZ8+emVE5IQNK1uSEhIQFCxa0 adOmSpUqhQoV0mg0ZcqUadq0qa+vb3Z2tjxCRDBMbXEQB3d392bNml25csWw 59u3b/fs2TNp0qTWrVuXLl0aGrpYsWJBQUFCn1GjRrkb4+TJk+b0RUViUrR5 AoicOXOmX79+tWrVAp/y5ct36tRp3bp1Fj1wIr8oWZODg4M1eujYsSPJssyY 2uKBgYHYWCdOnDDglpqa2q5dO2kTb968WehWv359fZ2BsW3bNjO7o/LgjzZn AAF/f38nJyep54gRI0DVrXAShDkoX5MhMZ4xY4afn9+OHTsGDx4MF3fsSIsX L5ZHiwiEs8X37du3bNmyHj16ODo6GtXkyMjIatWqoVuLFi0WLly4f/9+qGHy 5MmirWDGNEoPkPipVpP5AxgREYFulStXXrlyZUhICISrefPmaFy0aJHVToUw DSVrcnx8PPQrkTE8PBwHe5s2bawmP4QOOFv8vffeE6Vh+jQ5Ly+vcePG4FC0 aNENGzbAT/P6kqenJ+4IBMq8GhQIT7RNCuDo0aPBs0iRIqGhocyYmZlZp04d sLu4uJgdf8KyKFmT9fH+++9DL4Kxb1nNIQzD2eLe3t4/aPn6668Na/KBAwfY lMfsjpSYmFisWDGopE+fPmZXokB4os0fwBcvXpQpUwY8e/bsKSrauHEjVnLm zJl8HTFhIWxOk7OyskqWLAldqFWrVhaXHcIAprb4+fPnDWgyZGVNmjSB0rp1 6+bk5JjdkYYMGQKVwNTp9u3bZleiQIxG26QAhoWFYVusWrVKVHTz5k0smj9/ fn4PmrAENqfJMEfDLuTh4WFp1SEMYVlNTk5OxtLp06e/evUqIiIiICDA19f3 yJEjSUlJnLuIjo52cHDAu1T8B2YTGI22SQE8fPgwOp8+fVpaVZEiRaBozJgx ljwBwlxsS5N/+eUXvHH8zjvvwKTVGspD6MOymvzHH39gabNmzSpVqiRcfy5c uPCgQYPS09ON7qJTp04a7XNfDx8+NKHz2QJGo21SADdv3oxFOp9LxPvmvXv3 tvxpEKZjK5oMl/5vv/0W+xV0oVOnTllPfAidWFaTIakTykjZsmUbNmzo6urK LK1bt379+rWB+qEPoOe0adNM7n+Kx2i0TQqgl5cXGm/evCmtCm/LtmjRwipn QpiITWhyeHg4ewSuadOmMTExVhUfQieW1eRly5Zh6ZAhQ6Kjo5kdRAOamM3K 9VWel5f38ccfoxZlZGSY1PdsAqPRNimAc+fORUt8fLy0KhcXF9Jk5WATmnzw 4EHsUXC5p1dFCgrLavKPP/6Ipffu3RMVJScnOzs746xcX+W7d+/GzfPzzIaS MRptkwK4fv16dBaqNwOXPrp162apgyfyg21pMlzlrSo7hAEsq8n+/v5YKnxc luHu7q7RLhTrfKIApuQ1a9bUaG8r2OvHMYxG26QAsncqL126JHUuXrw4FH37 7beWOngiP5AmE5xYVpNBHLB0586d0tKBAwdiqU7J9fb2xtKNGzfyH49tYTTa JgXwwoUL+HPXrl0iz7/++guLZs2aZcHjJ8zGJjQ5ISEhQEtGRoZVZYcwgGU1 OTU1FUsnT54sLW3Tpg0U1ahRQ1qUmZlZrlw5KK1du/abN2/4j8e2MBptkwII wqvvocG9e/diPZB4W+rgifxgE5pMKAHLajLwySefaLTvBYuqjY2NxdfnpS+d /SN4k/qXX34xqcvZFjzRNimAnTt31mg/dgFizox5eXn4PGHp0qWfP39u2VMg zMMmNPngwYMttcAwt6rsEAbgbHEY2tlajhw5guIZFBSEFtGoDwsLw0+w1q1b 9/Lly2i8ePEifoGhSJEioC2iytmb1E2aNLHv7zPwRNukAEIrYHNACg12iF5K Sgrk2GgcOXKkFU+GMAWb0GT2Sv6vv/5qVdkhDMDZ4nj3TSf16tUTOY8dO5aV li9fHr/JAIDUrF27Vlr54MGD0eHYsWNm9z2bgDPa/AHMycn56quvmDN+oIC1 C/+7k4S1sQlN/vnnn7HzHDhwwKqyQxiAs8Xxe+k6qV+/vtR/x44dFSpUEEk3 JHtSz/j4eFwU/fzzz83ueLYC//jiDyDkxtOnT8eP3iNOTk5dunTJzMy09OET 5mMTmkwogXy2uAFyc3NBbw8dOnT8+PHk5GRr7MLmMCnaJgUQlPnWrVuBgYFh YWGvXr3K95ESFoY0meDEeppMSKFoqxbSZIITUgk5oWirFtJkghNSCTmhaKsW 0mSCE1IJOaFoqxbSZIITUgk5oWirFtJkghNSCTmhaKsW0mSCE1IJOaFoqxbS ZIITUgk5oWirFtJkghNSCTmhaKsW0mSCE1IJOaFoqxbSZIITUgk5oWirFtJk ghNSCTmhaKuWgtVkgiAIQgppMkEQhHIoKE0u6Ok4YQL5bHHCJCjaqoU0meCE VEJOKNqqhTSZ4IRUQk4o2qqFNJnghFRCTijaqoU0meCEVEJOKNqqhTSZ4IRU Qk4o2qqFNJnghFRCTijaqoU0meCEVEJOKNqqhTSZ4IRUQk4o2qqFNJnghFRC TijaqoU0meCEVEJOKNqqhTSZ4IRUQk4o2qqFNJnghFRCTijaqoU0meCEVEJO KNqqhTSZ4IRUQk4o2qrFJjQ5PDx8yZIlw4cPHzZs2NSpU6OioqwkO/PmzfP0 9AwODrZS/TaNtVXi2bNnZmz16tWr169fW/xgChxTo/327dv09PS8vDzrHRIh D8rX5AULFjg6OmoEbNu2zUqyU6pUKah/8uTJVqrfpjG1xUEf3N3dmzVrduXK FQNuZ86c6devX61atSDy5cuX79Sp07p16wzXfPPmzWXLlvXv379OnTqFChWC DT/99FP+A7MJeKKdkZGxdevWrl27uri4FC5cGOLg5OQEkYS8IjEx0eguUlJS unfvDm20fPlyCx01YQEUrsnnz59nUtykSZMBAwZ8/PHHAQEBVpId0mQDmNri gYGB2HAnTpzQ5+Pv7w8yopEwYsQISPz0bVK8eHGRf9WqVU3ugsqGJ9q9e/eW hg6pUKHCjRs3DGz7/PnzTz75BJ0HDhxo0WMn8oXCNXnw4MHQZ0Aqo6OjZZAd 0mQDcLb4vn37IInt0aMHm93o0+SIiAh0qFy58sqVK0NCQmAG1Lx5czQuWrRI 5A+J95gxY7AUWmrs2LG+vr5HjhzZsGHDyJEjze6KyoRfkyExnjZt2o4dO06f Pg3/urm5YYgaNGigb8Pc3NyePXsyASdNVhQK1+QWLVpAn4H+I4PmPCVNNghn i7/33nuinE2fJo8ePRpKixQpEhoayoyZmZl16tQBO8zHRaujBw4cwApbtmx5 //59s/ueTcAT7aVLl+7cuTMnJ0dofPPmDbuupaam6txwypQpUIrLHaTJSkOx mnzz5k0fHx+YgkGfad26tc+/XLp0ifkkJCT8/PPP48aN69Sp05AhQ5YsWRIX F6evwuPHjy9cuLBfv37dunXz8PDYs2eP1EefJv/+++/z58+HpL1Pnz6TJk1a u3bt7du3TZQ0m4ezxb29vX/Q8vXXXxvQ5BcvXpQpUwYvuKKijRs34oZnzpxh RtDnJk2agLFKlSqg22Z3PFshP+MLgo8BjIqKkpay8MIsAy+gpMmKQrGaDLMw nQtlcIlHB5gjV6pUSVQKorp+/XpRVUlJSf3795dW1bZtW5G0SjU5MTERrgjS bQsVKjR16lQLqZ1tYGqLs3sBOjU5LCwMS1etWiUqgssxFsF1kBkPHjyIxl27 dpnX5WyL/Iyvzp07Q6CKFi366tUrUdHRo0dxTcnT0/Offyc1pMmKQrGaDJ3H zc0NbwCVL1/e7V9QcpliV65cecKECStWrJg4cSK4ofHUqVOsHsip6tevj/Yu XbrAMF+wYIG7uztavvjiC+FOpZrcoUMH9IRKhg0bNnLkSDiGYsWKgQV03tKy p2gsq8mHDx/G0tOnT0tLixQpAkVjxoxhFog8WEBPnj17BhdKmLlAmrd9+3bY i767gTaNGeMrNzf36tWrMBAwsF5eXiKH6Ojo0qVLQxFM93BdiDRZgShWk5Ha tWtjnxEaU1JS3n33XY12XRFyYGa/f/9+1apVwd6sWTNmXLJkCaa1u3fvFlYC 4oxdFxIwZhRpMkvYoJ8Lt4UdjR8/ftSoUaZIms1jWU3evHkzlup8Ug4vr717 92aWjh07YjviH0JcXV0DAwPN6IRKxqRow4iA5IHlJJAzgCCLVuOTk5OrV6+O o+Ply5doJE1WILaoyYsXL9Zo7w1JF3W9vb1x5KalpcHP7OxsXLSELEvkCfkz 5NhQJFyCEGky5OrYyWGPZoiYnWFZTQbRwFK48ElLUStatGjBLB9++CETYciW a9as2bBhQ2xcwMHB4ciRI2b0Q8ViUrTBU3iRghlcTEyM0OH58+dNmzaFIojb o0ePmJ00WYHYoibjzaMaNWrslzBnzhzslhEREeAZGxuLP6dNmyZ1fv/996Ho v//9L6tZpMmpqaklSpQAS8WKFSHfTkhIsKjI2RiW1eS5c+diaXx8vLTUxcVF pMn4TDI0+pYtW168eIHG169fr1mzBuspWbIkXIhN7IbKxaRoQ4Ixb948Dw+P Pn36YI+Fy5aPjw+W5ubm9ujRA4xly5aNi4sTbkiarEBsUZM//fRTjTEgawJP EF6jnm5ubqxm6XryN998I3SG44Fuf+DAActJnc1gWU1ev349lkZHR0tL8e5t t27d8GdOTg7emRo8eLDU2dPTE6s6duwY/+EpHLPHV3p6eoMGDTTaiSRe70JD QzE+QUFBWf8LrvX17t0bf4J6W/o8CJOxRU2GZAmMzs7O3fQTHh4Onps2bcLe 2Lx5c32eMKJZzVJNzs7O/umnn8qVKydScqjw8uXLlhM8G8Cymsze8rt06ZK0 FLPib7/9llkwc+7QoYPUGWrAqqR3tWyX/Iyv4OBgDMjmzZvh58WLF41mJojw QXGioLBFTcaH0xo1amR08+PHj2Nn43wdW9/zyY8fP8bHm7/88ku2hlmvXj2e Ou0Gy2ryhQsXsFT6bNtff/2FRbNmzWJGfFTG1dVVWtWdO3fQf8qUKfyHp3Dy M77Y8jL05H9M0WTwtOhJEOZgi5o8YsQIjXZq9uDBA8Ob379/HzvbpEmTeGSH 5z2+lJQUtngC9fNUax9YVpNBeB0cHDTaT1uIivbu3Ysb+vv7MyO+VV24cGHp ovHZs2fRH9NC+yA/4+vUqVMYkBUrVvyj/WTcIz3g80u9evXCn3b5VKHNYYua zB5O7tOnj3STjIwMHx8f9hNv5Dk5OelcaoiIiDh58iT7KdJk2CQoKEi61ezZ s/EAbt26ZfQU7AbLavI//77aULlyZeErwHl5eZ06dQJ76dKlnz9/zuxHjhzB 2oYNGyaqp1+/flikc2naRjEa7fT0dLh4iV6s/kcbQPa4oM5nv4XQPT4FYoua DHz++efY6zp06ABjH/onSDHMvFavXo2bPHnyBD3Z8oWzszOkDffu3QMjzHYD AwOHDBkCqdqMGTNYtSJN3rZtm0b7FPSvv/6KD11ALgEV4ocloT9nZ2dbRO5s As4WByHN1sJUFK5raBFqLAB2dGjTpk1sbCyICcxBIPholH5WqGvXrlg0a9Ys fPTi2bNnU6dORSMos9m9UYEYjXZMTIxG+2ybt7f3pUuXsrKyXr58GRoayt6H atq06Zs3bwzvhTRZgdioJkOHdHV1ZetgIK3sgyoI02Rg5syZ+JVdpGjRokJP o5rMqFSpEk63cY/W+2SoMuFscVAJjR7q1asn9IQc76uvvmKlJUuWFHomJSWJ ar579y5bzHd0dKxatSprDpgNwUXZ7N6oQDg1WR/lypWDSZzRvZAmKxCFazKu PAwaNEhalJaWNnv2bPbuEpPK9u3bb9q0SeQcEhLi5uYm0m0Y1OPHjxf+ryU4 5D08PPBnfHz8lClT8HkhIa1bt4b5uPnqZptwtjhOInRSv359kTPkxtOnT8cX fhEnJ6cuXbro+8rQw4cPv/zyS2Gd0KbQXuyJZbvBaLShRby8vPC7TKIhAFMM zke1sbFgfFnoqAkLoHBN5uHBgwenTp06dOjQ1atX09PTDXjCSAef/fv3nz17 1qTbcwkJCefPn9+3b9+5c+dU++ZIPlvcAKDMkNQFBgaGhYVJP5sjBebpMEmH 5oDrqV3+x0//mDK+srOzo6Ojg4ODoWPHxsbyBJBQMnagyYQ8WE+TCSkUbdVC mkxwQiohJxRt1UKaTHBCKiEnFG3VQppMcEIqIScUbdVCmkxwQiohJxRt1UKa THBCKiEnFG3VQppMcEIqIScUbdVCmkxwQiohJxRt1UKaTHBCKiEnFG3VQppM cEIqIScUbdVCmkxwQiohJxRt1UKaTHBCKiEnFG3VUrCaTBAEQUghTSYIglAO BaXJBT0dJ0wgny1OmARFW7WQJhOckErICUVbtZAmE5yQSsgJRVu1kCYTnJBK yAlFW7WQJhOckErICUVbtZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQJhOckErI CUVbtZAmE5yQSsgJRVu1kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQSsgJ RVu1kCYTnJBKyAlFW7WQJhOckErICUVbtZAmE5yQSsgJRVu12KgmHzx40NPT c+HChWbXMG/ePKghODiYWU6fPg2WGTNmZGVlmV2tHWNVlXj79m16enpeXp6V 6rc5zI42xPDFixcWPx5CNmxUk8eNG6fRaMqXL292DaVKlYIaJk+ezCyLFy/W aHn8+LHZ1doxRls8NDTU3RiDBw9m/hkZGVu3bu3atauLi0vhwoUh8k5OTrVq 1YIrY2Jiotldyz4waXzBFW3Pnj2TJk1q3bp16dKlIZLFihULCgqy6hESVoI0 mVlIkw1jtMUDAwM1xqhRowbz7927tz63ChUq3Lhxw+zeZQfwj6/U1NR27dpJ Y7h582ZrHyRhDUiTmYU02TBGWzwqKmqUft555x2dmgyJ8bRp03bs2HH69Gn4 183NDVuhQYMGZvcuO4BzfEVGRlarVg0j1qJFi4ULF+7fv3/fvn3QsU+cOCHD cRIWhzSZWUiTDZOfFodcDgPeo0cPZly6dOnOnTtzcnKEnm/evGnevDk2BGxl dgezdXiinZeX17hxYwhU0aJFN2zYQKvx9oFNaHJcXNzKlSsHDBjQpUuXkSNH +vv7w78iTQ4JCfHx8dm1a5d0c5hTQ9HJkyeFRtJkU8lPi48dOxYC6+DgEBMT Y9T5hx9+wIaAxNu83dkBPNE+cOAABgq6rjxHRciA8jV569atqJ9ShJo8ZswY XIeU1lC/fn0ogpmy0EiabCpmtzhshbfwvvnmGx7/zp07Y+736tUrM3ZnHxiN NmTFTZo0gUDVrVtXNNcgbBqFa/L27dtRJyHFatas2aBBg7p37w5STJosP2a3 OK4bOzk53b9/34Bbbm7u1atXJ06ciK3g5eVlbueyB4xGOzk5GQM1ffp0uHhF REQEBAT4+voeOXIkKSlJtuMkLI6SNfnRo0dVq1ZF7T127BizZ2Zm9u/fnzRZ Zsxr8T/++AOjOn78eH0+KSkpHTp0YJfaYsWKgSCrfHXUaLRZYCFXqVSpknD+ CLMSyF7S09NlO1rCgihZk9esWYN9bMOGDaIi6T0+0mRrY16Lt2zZEkJasmRJ uMIa6AxCSYELLs+ys31jNNqQFQuDVrZs2YYNG7q6ujJL69atX79+LdsBE5ZC yZr83XffYWfLyMgQFZEmy48ZLX7w4EEM6Zw5cwy4wcRn3rx5Hh4effr0KVGi BPg7Ojr6+PiY3bvsAKPRXrZsGcZ2yJAh0dHRzH7z5s2mTZuyZQ3rHylhYZSs ya1atYJ+1bhxY2kRabL8mNriOTk5devWxUZ58uQJ51Yw427QoAFsVaRIkfj4 eLM6lz1gNNo//vgjdtd79+6JipKTk52dnXFZw5rHSFgFJWsyTsTat28vLSJN lh9TWxwSXYznqlWrTOobwcHBuKGa30QzGm1/f3+MUmhoqLTU3d0dV+bpkQyb Q8majK90mZQnlylTRupMmmwRTGrx58+fsxf3TF3VZMvL0Dqm9yw7wWi0L126 hFHauXOntHTgwIFYSt8jsjmUrMkDBgyATlW6dGmpSEo1edKkSWApVKhQdna2 yJk02SKY1OILFizAYG7bts3UvnHq1CncdsWKFaZuazcYjXZqaqqBK1ebNm00 //smO2ErKFmTvby8sNeJnrtISUnBj64INdnb2xudjx8/LnQOCQnBh6xIk/MJ f4s/evQIw1uvXr23b9/q9ElPT9+7d690Zp2Xl9exY0dsiNOnT5vdwWwdnmh/ 8sknGu3LNSLP2NhYR0dHKOrZs6c1j5GwCkrW5IcPH+KHB4sUKbJmzZrr169f vnwZtBcfWhZpMkgxGj/44ANItO7evXvo0KGhQ4dC5ox20uR8wt/iuI4EHDhw QJ9PTEwMONSsWRMaFKbhWVlZL1++xK994rZNmzZ98+aN2R3M1uGJdlhYGHbv unXrwtBA48WLF+vUqYOjBsTZ+kdKWBgla/JTQaqsE9E3iPBRWBH4Vi9pcv7h bPH/+/dN6ubNmxtwQ03WR7ly5W7dumV277IDOKONHxJhw6FMmTL4N2j12rVr ZThOwuIoXJOB9evXw+yMdTxnZ+dVq1bherLoKYvbt2+LPiTr5uYGuUTDhg3h 7759+wqdsfd6eHgwy9KlS3GrtLQ0S2iYvcHZ4oMGDcIwnj171oDbU+0FF7/Y IMTBwWHkyJHQBGZ3LfuAf3zt2LEDBoIwhvXq1YNs2dpHSFgJ5WsykJ6efu7c OX9//8jISOktPCFPnjy5du1aQEDAwYMHExMTLaBExL/ks8X1AQ0aHR0dHBy8 f/9+mGur+btDQkyKdm5ubnx8/KFDh44fP56cnGzVAyOsjU1oMqEErKTJhE4o 2qqFNJnghFRCTijaqoU0meCEVEJOKNqqhTSZ4IRUQk4o2qqFNJnghFRCTija qoU0meCEVEJOKNqqhTSZ4IRUQk4o2qqFNJnghFRCTijaqoU0meCEVEJOKNqq hTSZ4IRUQk4o2qqFNJnghFRCTijaqoU0meCEVEJOKNqqpWA1mSAIgpBCmkwQ BKEcCkqTC3o6TphAPlucMAmKtmohTSY4IZWQE4q2aiFNJjghlZATirZqIU0m OCGVkBOKtmohTSY4IZWQE4q2aiFNJjghlZATirZqIU0mOCGVkBOKtmohTSY4 IZWQE4q2aiFNJjghlZATirZqIU0mOCGVkBOKtmohTSY4IZWQE4q2aiFNJjgh lZATirZqIU0mOCGVkBOKtmohTSY4IZWQE4q2aiFNJjghlZATirZqIU0mODG1 xfPy8mArazirAVOj/fbt2/T0dAijxZ0JmbF7TU5MTHxfy9ixY2XYHXDr1q3Y 2NikpCR5dicbnC0OI93Hx6dly5ZlypTRaDSVK1du37798ePH8++sKniinZGR sXXr1q5du7q4uBQuXBgC6OTkVKtWLU9PT+j2+XEmChC71+R79+5ptHz55Zcy 7A4oX7487G7cuHHy7E42eFo8LS2tTZs2Gl0MHTo0P85qgyfavXv31hk9oEKF Cjdu3DDbmShA7F6T//zzzw5afvzxRxl291TdmtynTx8c5j169IB0NyYmZufO nTVr1kTjrl27zHZWG/yaDLnutGnTduzYcfr0afjXzc0NA9igQQOznYkCxO41 WX5Uq8nBwcE4wAcNGiS0p6enV6xYEexVqlTJysoyw1mF8IyvpUuXwlUsJydH aHzz5k3z5s0xtqmpqeY5EwWIwjV527ZtPj4+ly9fhr8PHDgAl/guXbpMnDhx 3759mZmZ6BMREbF8+fL+/ftDujVjxozo6GhRJX5+flDJpUuXmAU2AcvmzZuf ahc3NmzYMGzYsM6dO0PNJ06cEG0OO/L19QX/a9euiYpu3brloyUlJQV+ggP8 XaxYMejh7dq18xEA83ThhpAWLly4sF+/ft26dfPw8NizZ4/O04ckf/369XBU vXr1Gj58OKT6hw4dAqUyGjdrYLTF4URwdEvXJyGAWLRlyxYznFVIfsbXDz/8 gAGMioqyrDMhAwrX5CJFikBvAb39/PPPRYtggwcPBqGbOnWqg4OD0F66dGnI wYSVlCpVCuyTJ09mlvnz56PzmjVrnJ2dRTXPnj1buHlSUhLaV61aJTq83bt3 Y1FkZCT8XL16tUYP7GShNjgdqUPbtm1v374trBykCVNuEZBGFsgUw2iLd+jQ AQ4P4iktYjGEK4sZziokP+MLsguIXtGiRV+9emVZZ0IGbEKTEdDexo0bu7m5 lShRAi3lypVjMgV5KVuKrFu37pMnT1glBjQZKVOmDGh+w4YN2Y4gkWbO/Joc EBAAh1eoUCGN9hECNwEPHjx4qk2569evj5tAwg+HsWDBAnd3d7R88cUXrOaT J086OjrisXXs2HHSpEk9e/Z0cXFBT2nGLgNGWxxv2EG0pQ9Z5ebmOjk5QSmc ixnOKsSM8QVxu3r1KsyqsJN4eXlZypmQE1vR5KFDhyYkJKAxPDycyXLt2rUP Hz6M9uzsbBAutF+8eJFVYkCTq1WrtnPnTtgQ7d7e3miHmTVz5tdkxMB68pIl S6AIRBs2FNrZ8Rw8eBAtMAtAQRYlz4GBgU2bNo2LizMaOotjtMXhwoFnAYcn La1evToUNWvWzAxnFWLS+EpJSYF5B5tVFStWDDRW3+PHJjkT8mMTmjx+/HiR HSdcJUuWfPz4sdD+22+/YU8TrtAa0OTk5GTh5pDH4lJG7969mdFSmgzKj0/h jhw5UlQE+4W8GoqmTp2KlpYtW8JPqCo9PV1vdOTFaIuzaDRq1Eh0ew7ig3fu WrdubYazCjFpfIGnRkD//v1jYmIs4kzIj01o8vTp00X20aNHg7148eIiOyRd 2NN++uknZjSgySxDZnz88cdgb9WqFbNYSpNjY2PRedq0afslvP/++1D03//+ F51nz56Nzl27dv3999+lxyk/Rls8JyeHrcOULVt2yJAh0HDDhg1r3LgxU4Cv vvrKDGcVYtL4gmv6vHnzYHLXp08fnEI6Ojr6+Pjk35mQHxvV5ClTpujU5ISE BBzOa9asYUaTNBnXOSFNZRZLaTIIr8YYbm5u6AwV4stWCJwCHNLMmTPZAo78 8LQ4xBMuZ9LzwrUIAE7BPGe1Yfb4golVgwYNIHowduLj4y3oTMiDjWoyzPF1 avKDBw/yqcnt2rWzkiZv2rQJnZs3b95ND56ensz/xIkT7NlRoTjPmjXLcNCs BH+Lnz17FhpowIABffv2hbYLDAyMiorC45fmYyY5q4f8jC/27PfmzZst60zI AGmyqAYDmrx06VKRswFNln5e4/jx4+gcEBBg9MQZcXFxW7duhdoaNWrElHnX rl38NViK/LT4unXr8MgjIiIs62yv5CfabMUY+rxlnQkZIE0W1SDV5EePHrGp tMjZgCZ/9913Iuf79++j86RJk4yeuE527tyJNYwYMcK8GvKD2S2elZX1zjvv aLQP+1nW2Y7Jz/g6deoU9pMVK1ZY1pmQAdJkUQ1STX76r8y2bt1aaExLSwPh lWpyvXr1wPL5559LTwdv5Dk5OeGbiSIgLTx58iT+vX79eunSMRwtLjKPHj1a urm1Ma/FX7x40bdvX4xSSEiIBZ3tG6PRTk9P37t3r+hd6X+0n9rr2LEjxvD0 6dNmOBMFC2myqAadmgxqjP5z5sy5fv06KPDatWtdXV3ZYoJQk7t27arRvniy efNmyLGTkpL27duH71az5QtnZ2dIS+7duwfGO3fuBAYGDhkyBDaZMWMGVlKn Tp3SpUvD7sLDw/FlatgvnjXg6+trNHQWh6fFQVRh7pCamvr27dv4+PiAgIDa tWvjMffv3z8/zmrDaLRjYmIgUDVr1vT29r506RJ0kpcvX4aGhrKnWZo2bfrm zRsznImChTRZVINOTT569KhGF/iqnUiTjxw5IvVkJztz5kx80Q8pWrSo0E2o yUIf9saiRvslDfatDznhaXG29i4ErjULFy6UvpVgkrPa4NRkfUCHuXXrlnnO RMGicE3G7/lIF3I9PT012ndGRHY2zCGPZUZ8U0P4ah6Meo32fTqpJn/xxRca yTIFsGHDBtR2BJLYBQsWsAXeq1evCp1Xr14NDsy5cOHCd+/eZaUwK3dzcxM+ 6gZUrVp1/PjxUVFR6LNnz54OHTqIPuVRtmxZCAV+70h+zNDkypUrd+7c+eTJ k/l3VhtGow0t4uXl1aRJE5HAQp8ZOXIkzMvMdiYKFoVrsqJITk4GxfDz8wsP Dzf6EkdGRgYkz8ePHwdnne/iQa4LSr5///6zZ8/ev39fXyXXrl07rAXkumDf 6eNp8dzcXDjrQ4cOHTt2DMJlQWe1wT++oCtGR0cH/z/23jsuiqt7/F8Litgb GiuWJGKLFWPBEsWCEowFG7aoMYpGo9HYo6KP3eRBNEBix0dBgwZsUbGgRiJI ABX9EhsoKoogCWoUIb/z2/PKfc1nZtm924ZZ5rz/yEvuPXN39tw777l3yiY8 HMZSYmKi/p8SMiqYKBTIyQQnZvY4YRSUbdVCTiY4IUvICWVbtZCTCU7IEnJC 2VYt5GSCE7KEnFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlW LeRkghOyhJxQtlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3k ZIITsoScULZVS+E6mSAIgpBCTiYIglAOheXkwl6OE0ZgZo8TRkHZVi3kZIIT soScULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYt5GSCE7KE nFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRkghOyhJxQ tlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3kZIITsoScULZV CzmZ4IQsISeUbdVCTiY4sbYl/vrrL/7g7OzsZ8+e8Qc/fvzYpJ0qNEzOdn5+ /osXLwzGQIeatF+GyczMfPPmjZUaVwPkZIITgz1+4cIFN0OMHj1atFVkZOTQ oUOdnJw0Gk2VKlX69Onj5+cnbRw0curUqalTp7Zp06Zy5coaLWXLlu3Ro8eB Awfy8vKkmyQlJUHLjo6OGOzg4NC2bdvg4GCdwUrDqOPr7du3e/bsmTFjhqur a/ny5eHL2tvb79+/XxQGOQwICOjcuXOFChUgBjLz0UcfHTt2TNrgZ599ZrAr T5w4gcFgYOiCMWPGNG/evFy5ctByiRIlGjRoMHbs2Dt37piTBHVCTiY4Mdjj oaGhGkPUrVtXuMnOnTvt7OykYRMnTgTPCCMTExP1NDtlyhTRzgQGBoIZsLZY sWLs3wBoX9S4AuE/vtLT0+HEJM1JUFCQMOzp06ddu3bVmT2Qp6jNpk2bGuzK rVu3YnBYWFhBMaVKlYqIiLBEPlQEOZngxGCPx8XFfVYwNWvW1PxfJ8fExOCR CxO2devWRUVFwWHeoUMHLFyxYoWwcXQyqPWTTz5Zu3bt4cOHjxw5MnfuXJj9 YrxwWhgbG4sSfu+996DNhw8fZmdnwykDpoUYvGTJEpOHrjxwHl/wTWvXro1f qlOnTsuXL//pp59CQkJmzpx5/PhxYeTgwYMxzMPDA+bGCQkJu3btql+/Phbu 3r1bGLxs2bKC+hGWHjqdDDNzmCrDGic8PHzx4sUtW7bEMFj7QP4tmJkiDzmZ 4MScHoe5HK5qQQiscPLkyTiVunDhAivMzMxs3LgxlMPiF9barPzevXuff/75 H3/8IWr5559/xmN/6tSprBD+jYU3btwQBr969QqahXIwhmlfRDZ4sg35+eCD D+DrlC5d2t/fX5guEeBJTIi3t7ewPCMjo1q1alBeo0aNrKwsnh2bM2cONgWn Ayz59ddf4eT46NEjUSQsXjAS5M/TMoGQkwlOzOlxlGTx4sVheoYlL168wKua np6eouDNmzfjsRwZGWmw5devX2Pwxx9/zAp79+6Nk+qXL1+K4gcMGABVZcqU Me2LyAZPttlFg5UrV+qPnDVrFkampKSIqgIDA7Hqhx9+MLhXsDnMhyEYZt0G g+Pj47Fl+HSDwQSDnExwYnKPw1YlS5aEY3PUqFGsMDo6Gg/YDRs2iOKTkpKw aunSpQYbZ+0IL0csWrQIC3fs2CGKx0m4u7u7CV9ETgxmG2bFrVq1gu/SpEmT 3Nxc/a316tULIitVqiStSk1NxVyNHz/e4F6NGTMGT3Y3b940GHz9+nVs+euv vzYYTDDIyQQnJvf4oEGD4MC0s7MT3oVn1xxOnTol3aRUqVIaXXfuhMC6e//+ /XgtwtHREf5kVZcvX8bGwR6+vr5///03lrMlPM+csHAxmO20tDT8LnPnzn31 6lVMTMzevXth0hsREQGaFQXj3b1y5cpJr2/k5eXhbVZYXOjfJZj3wkpHo70D y/MVgoKCbCXbioKcTHBiWo//+uuveGBOmzZNWM4OWPCndKsqVapAFchcZ5tr 166FKWKxYsWwBTc3t6tXr4pi/P392RMdYGwQ15YtW1D1n3/+ufIfoDWYbZZY FxeX6tWrawTAqsTb21t4kpoxYwZWXbt2TdpUnTp1sB39u9SnTx+N9l7e/fv3 De4/nAffe+89jH/y5InBeIJBTiY4Ma3HO3furNE+SCx6awOmr2iJpKQk6Vb1 6tXTaB8k0NnmiBEjmH/q1q0L+tXp2A0bNmgkgJCN/QqFgsFsw6xY+L0qVqzY vHnzhg0bshJXV1e2QAgODsbCFi1aiO7lxcbG4m0+iNfzcSdPnsQWvvrqK579 h7k0xn/55Zc88QSDnExwYkKPHzx4EA/MRYsWiaoWL16MVcnJydIN8YpEQU4O CwtbuHDh5MmTwULYCPzj+fPnwpiAgACcFc+ZM8fHx6dq1aoYCavvefPmvX79 2qgvIj8Gs7169Wr8RmPGjImPj2flcI5r06YNVsHqAAtzc3NhNcHsDZtA1bhx 4/CxDWT48OEFfVZ+fn7r1q1xW57XJ9m+wXLm1atX3F+a+P8hJxOcGNvj4IEm TZrAgQk+zM7OFtVu2rQJD1uhTxi4GO/fv7/BT/n++++xHeEtqvXr12NhYGAg lsCMcceOHTCpxnKD104LHYPZ/uabb/C73L59W1SVlpZWqVIl0eUIOGd16dJF unDACxcAnKoK+iw2zTb4gAfw3XffYTBM2mFPDMYTIsjJBCfG9jjMVPHYlD5Z 8Y/gpb+LFy9Ka8uUKQNVn376Kc8H4bSwVq1a+CecC/Dla5hsiyIzMzObNWuG nyt8KFqBGMz2zp079XwRnBXb29uLHsk4ffr07Nmzhw0bNmTIEJgqQy/ExcVh O9BfOj8ITmf4aknNmjUN/pLGmjVrsDVI/t27dw18SUIX5GSCE6N6PCcnh724 x65qCjl37hwevKI3yIBHjx5h1fz583k+i11exssXycnJ+KfOxzaYNApSkEIw mG04l+EX0flGxsiRI7HWoEX9/PwwMiYmRmcAW3Rs3rxZTzv5+fnsKegWLVrQ u3smQ04mODGqx5ctW4aHJ3sDVwSIt6AHq/bt24fbwlSQ57PwNmK5cuXwx4X+ +OMP3NzHx0cazBr/73//y/ldCgWD2U5PT8cvMnPmTGktPvwm+nURKVlZWXjq 7Nmzp84AWFngoqNRo0Z6HlaB0y47M0J3cL4SSOhE4U6GOY+3lunTp8ugHUIP /D3++PFjfJPa2dlZz6/99O3bV6N9UA30wgphuoXPXJUvXx4m26z88OHDt27d kjYSFRWFbu/SpQtroWLFimgk6XVsGEioDvZqsDLhyXbbtm012herRZGJiYn4 cx/SdySFwBR6yJAhmA1Io84Y9ib1//73v4Laefr0KZ4WgaFDh9JNPTNRuJPZ W1pw5MqgHUIP/D3OfuggLCxMT9j+/fsxDCZ1oBFwKSx4YdaHhZMmTRIGf/LJ J+AZLy+vgwcPwpkaVP/gwQNYVrPf7fzpp59Y8Oeff46Fbm5u7DYTzKJ/+OEH FHirVq2MH7OywpNtODrwIe0mTZpcunQJC8+fP4/vKpYqVQqyyoLBwMHBwXD6 g9RBAvfu3QtTX8wSZFVn++xNakiXnh/TcHd3x3Yg7OjRo8d0ITztEvohJxOc cPb4//v3TeoOHTroj8zNzR0+fLjmX8qWLcv+DRNs0cto4GSNAPbCCCJ66vjl y5fsd8kcHBxcXV0HDBiAP9Gs0f7ezr1790wYtHLCmW32a0sa7S+w4U+IYH5E F2fYO9RC4Ay1fPnygnw7evRoDAPT6tmHbt26SVsWERISYtTXVzMKdzJ7SbZm zZoyaIfQA2ePe3t7Y5edPn3aYDDYYO7cufgz7IidnV2/fv0yMzNFkZGRkbDQ Zr/MyYDJ3qFDh6Qt5+TkLFmyRBQPJwsfHx/hC26Khf/42r59O3v6GoEzGsyW RWEiJ8Mkp2/fvux36aXAXBrXFKBc/Tug89ebRUh/YJ8oCIU7mVAOZva4HsDM N27cCA0NhWWR/quRMLWGKe65c+dg6X3mzBmDj7/Cgj0+Pv7AgQOwbIfzu/Ty smIxKtt5eXmgUDg3HTt2rKCcQExsbCzEwKSXHhtWMuRkghPrOZmQQtlWLeRk ghOyhJxQtlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3kZIIT soScULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYt5GSCE7KE nFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7UUrpMJgiAIKeRkgiAI5VBYTi7s 5ThhBGb2OGEUlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRkghOyhJxQtlUL OZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3kZIITsoScULZVCzmZ 4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYt5GSCE7KEnFC2VQs5meCE LCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRkEadOnZozZ87XX3+dlZWl v1BtWNUSb9++zcjIyM/P549/+fKllXZGCZicbcjhixcvLL4/hGyQk0WsXLlS o+XJkyf6C9WGsT0OcnBzc3Nxcbl8+bLOgGfPnv3444/u7u4NGjQoWbIkpNfO zs7JyQlOfykpKTo3AQ/DmbFTp04ODg7Fixdv3rz5+PHjk5OTTRmCysaobMMZ as+ePTNmzHB1dS1fvjxk0t7efv/+/SzgwoULboYYPXq0db4KYRzkZBHk5IIw tsdDQ0MxacePH9cZMGjQIE0BVK1a9fr166J4mEiDjaXB1atXj4mJMXkoKhP+ bKenp/fo0UOalqCgIBbD+kIPdevWtdq3IYyAnCyCnFwQnD0eEhKyevVqDw+P EiVK8DgZJsZfffXV9u3bT506Bf/t2LEjbtWsWTNR/IABA7BqyJAhMAk8efLk /PnzcYJdqVKlnJwck0ejAuHMdmxsbO3atTEtcMJavnz5Tz/9BF0wc+ZMYdrj 4uI+K5iaNWuSk5UDOVkEObkgOHu8Xr16oglYQU5etWrVrl27cnNzhYVv3rzp 0KEDbggzQFb+4MEDlDzYPi8vj5X7+flh8I4dO0wdjEqEJ9v5+fkffPABfPfS pUv7+/vzX40XAkkuV64cJtakPSUsjMKdvHXr1oCAgEuXLuGfCQkJcBTDbOra tWss5u7du99//72Pj0+fPn3GjBnzn//8R1iLPH36NCIiAtQ6bdq0YcOGwfAb PXr0smXLYIEsiuRxMuxGgBbp5kBmZmZgYCDUnjlzhs92tgFnj69fv36BlhEj Ruh3ckHAtrghzO5Yoa+vLxb+/vvvwmAQkaOjI5S7uroa9SkKhyfbYWFhmBMY nyZ/0NSpU6GF4sWLw6g2uRHCgijcyaVKlYIBM3fu3MOHDzdq1IhNvb755hsM gGVa9erVRRMzOO9v2rRJ2A4IWec1NJh6TZ8+XRjJ42Q4R+CfY8eOle5zcHAw 1sKZwgT1KRZje/zs2bOmOblv374493v16pWosGLFisJJMuLl5YVdKa2yXQxm G05GrVq1gi/epEkT0VrDqE/Biz+jRo0yrQXC4tiEkytVqiRyKToZJsz4J8yU QK1r16794osvqlSpgoUnT55k7aCTobWOHTvC/O2zzz5zd3cvU6YMRgoFznnt Ai97Qgv3798X7XPXrl012rtUMDk3x4FKw9pOBqNeuXIFehC3gomxsLZ169ZQ 2KVLF+mGrHeE1zpsHYPZTktLw28NMxY4ecXExOzduxcWaDDUU1NTOT8FL+nb 2dnduXPHEntNWACbcDLg4OAwa9asgwcPXrt27cyZM/Hx8Q8fPnznnXegqnPn zjAI2SYwumrVqgXlLi4uQp/s2bMHNhE2npiYiHPsbt26sUJOJ7PTwZo1a4Rt wqGB5bNnzzbSeUrHek6GfunVqxc7mdrb24OQRVdHsU/hTCrdnF1Shg7l3z2F YzDbv/76K35rGOeipSJMfb29vTMyMvR/BGth2rRpFt13wixswsnt27eXXiJG T0LAzZs3RVXr16+HqmLFihmcqY4bNw7ntKJmDTr52bNnNWrUgJJ3331X2CDM wHEdfePGDYPfzrawnpOhWaFSvLy8RNc2wc+4xIYq6ebbtm3DDU+cOMG/ewrH YLZhVixMWsWKFZs3b96wYUNW4urq+vfff+tpASYzEFa2bNnHjx9bevcJ07EJ J8PqTFqFt5Dq1q37k4RFixbhsIRZq3CT27dv+/v7T5o0qV+/fm3atHFycoLp N84rWAz/cxfz5s3DQlgtYgnM9/CJfU9PT2ONp3ys5+TMzMwlS5bAOmjw4MHY I3BSCwgIYAG5ublwhoXykSNHSjffuXOnCp28evVq/NZjxoyBZSMrT0pKgrGN VXDgFLQ5LDkxBg4WS+43YTa26+R27dppDMFs+fz5c2gEj2sppjkZ9h+fzvr4 44+xZOPGjRh27Ngx07ynZOS5xwcr7mbNmmm0KyDhC3qwloHCgQMHSjfZvHkz OwXzf5DCMZjtb775Br81zDREVWlpaXgLxsXFRee2cI5r0qSJRrtCzM7OtthO E5bAdp0MM2SN9vZf/4L57bffMJi9MlamTJlRo0atWLECln4nT57EaxemORkA ReCkDq+fODs7w5+whDRNegpHHicD4eHhuKHwTbSmTZtCiZubmzR+zZo1GM9/ b0v5GMw2Wx1cuHBBWguJ0mivzOt8JAPWILjthg0bLLbHhIWwXSe7urpCVYsW LQw28uDBg+LFi0MwTK1h6iWsWrhwoTlOPnr0KJbPmzeP/Vv0GF6RQTYns8vL M2fOZIX4+nCjRo2k8ZMnT8b4169fG/VBSsZgti9evIjfeteuXdLakSNHYq30 94hycnLYi3v6LzgThYLtOnnixIm4wr13757+RtjdkK1bt4qqzHTyn//OjWGQ 45u/lStXTk9PN/i9bBHZnAzrF9xw7dq1rHDKlClYeP/+fVE8LsMbNGhg1Kco HIPZhmEmPXMx8IFMna9LL1u2jB0OFttdwnLYrpPZ02iDBw+W1j579gwWaPhv WAJj5Lp164QxT58+9fDwMNPJ7BoyMmPGDINfykaxrJMzMjL27dsnXVnn5+f3 7t0bNzx16hQrj46OxsKlS5cK49l0EVRjzABUOjzZbtu2rUb7co0oMjExEe90 eHp6ijZ5/PgxvkkNc4m3b99aeKcJS2C7Tga6deuGx2OvXr3AAHCYg4rPnz8P nsSX/rKzsyGMHc5OTk7btm27c+dObGysv78/e3DIHCezZy002hdUpc/sFRk4 exyWxs+1sHcn9+/fjyXCnwlKSEiAqvr1669fvx68mpWV9fLlS/xJSdyqTZs2 b968EbaM9/4gyTDBg9agFvoal+FQWJQuJv/Dd3zBwMbb1rBSuHTpEhZCTho3 boxLSOkD22y5ERYWZpX9JszGpp0Mx7XwgUw4MPEpVgY6GYAJg6ZgzHEywK5n 9u/f3zjN2RScPQ6aLSjPMDdjYejkgqhcufKNGzdELYNt2BudMA9kr2GCl4RX OYoGnNnGX6tAqlSpUqFCBZaT//73v9I28QDp0KGDdfaasAAKd7K9vb1Gewet oICnT58uXLiQvQLG5PzRRx9t2bKFhd2/f3/48OHCGEdHR19f3/nz52u0MwoW uWrVKgwQvm+is5Cxbt06rGWP3hVJOHscFiMFmbZp06YsDBqE/OMvNoj6btKk SZBnnY3DMqRFixbCZxpr1KixZ88ek8ehYuE/vrZv344PCjLg3AfnL2mkt7c3 Bpw+fdrS+0tYDIU7mZ979+6dPHny0KFDV65cycjI0BkDR/S+ffvgED579qyl /i9OMBV///33Ndr1o0UaVCxm9nhBPH/+PD4+Pjw8/KeffoK1tvB3h/RsEhkZ CX1dxK5XCDEq23l5ecnJyZCQY8eOpaWlWXXHCGtTZJxcWBw4cADnHt9++21h 74t1sZKTCZ1QtlULOdlMunfvrtH+2sCjR48Ke1+sC1lCTijbqoWcbA7CX9Yq 7H2xOmQJOaFsqxZysjmsXLnSWUtCQkJh74vVIUvICWVbtZCTCU7IEnJC2VYt 5GSCE7KEnFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRk ghOyhJxQtlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1FK6TCYIgCCnkZIIgCOVQ WE4u7OU4YQRm9jhhFJRt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3kZIITsoSc ULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYt5GSCE7KEnFC2 VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRkghOyhJxQtlUL OZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3kZIITa1vir7/+4g9+ +/bty5cvrbczhY6x2YaEZGRk5Ofn8wTn5eWlpaW9evXK1L0jrAg5GUhJSXlX y9SpU01r4dGjR4mJiVevXrXsjikKY3sc/ODm5ubi4nL58mU9YZGRkUOHDnVy ctJoNFWqVOnTp4+fn19BweDhr7/+ulOnTg4ODsWLF2/evPn48eOTk5ONGHk2 Ak+2nz179uOPP7q7uzdo0KBkyZKQQDs7O8jknDlzYEhL49+8ebN58+ZmzZqV KlUKgosVK1arVq0JEybcu3fPOl+CMAVyMnD79m2Nlo8//ti0FtatW4ctPHjw wLL7phyM7fHQ0FDMyfHjxwuK2blzJ2hEI2HixIkw8RMFwzwQbCwNrl69ekxM jIkDUanwZHvQoEHSbCBVq1a9fv26MBh6sFWrViwAHY6Aok+dOmXNb0MYATkZ AJH20vLNN9+Y1gI5mRESErJ69WoPD48SJUrodzKIFAMcHR0hgVFRUVu3bu3Q oQMWrlixQhQ/YMAArBoyZMj+/ftPnjw5f/58dEulSpVycnJMHo0KhN/JMDH+ 6quvtm/fDl6F/3bs2BGzBPNhYTAkDct9fHwg1bm5uQkJCb6+vrDiwBXK06dP rfmFCF7IyRaBnMyoV6+eaM5WkJMnT56Mk7QLFy6wwszMzMaNG0M5rMeFV0ch sSh5sH1eXh4r9/Pzw0/ZsWOHyaNRgfBke9WqVbt27QK7CgvfvHnDzmvp6elY +OLFCzx5eXl5iRoJCAjA4LCwMAvuP2EyyncyHIybNm364osvBg4cOH78eJjK Hjp0KCsrSxoJZ/9vv/0Wlr3Dhw+fN2/e7t27nzx5wmphDgbD79KlS/gnTBJg PMO84tq1a/AnHNFQe/HiRRYPszgoCQoKgn9DzHfffTd69GiYqi1evBgcIvxc +KChQ4fiwN64cWPAv5w+fdp48ykXzh5fv379Ai0jRozQ42SwRIUKFaDW09NT VLV582bcMDIykhXCjA4Lf//9d2EweBum2VDu6upq0khUKOYcX5B8zFVcXByW sCUJVImCr1y5glVr1qwxa48JC6FwJwcGBsKqSnq5rFq1asLNwdsgTGlYxYoV QbwYg/c15s6de/jw4UaNGrEYvF5Rrlw5+PfMmTNZm0uXLsWAhQsXli5dWtis nZ3dli1bWCTsjPSjgbFjx1pMiArA2B4/e/asHidHR0dj7YYNG0RVSUlJWAVd wAr79u2LHSqcJCMw94MqmEVLq2wXc44vzBUMWvZkRU5Ojr29PRQ6OzuLnlcJ Dg7GbOu/FUvIhpKdfOLECVyuwoSqd+/eM2bMgDkVLGnZfAnDnj171rRpUyys W7cuTFmHDRv2/vvvY8miRYswDJ1cqVIlkTkNOhmpWrVq9+7dcVmNsGlw//79 2YK9Xbt2Hf9lxYoVljdj4WFZJ//8889Yq/PuEnbWlClTWEnr1q2hpEuXLtLg lStXYlNsqV4EMOH4glMSTHphRYnZgJWFsNbd3R3LW7RokZiYiIXgZ0gpFNap U4fzOTrC2ijZyTj1BSHfvHlTWB4aGtqmTRu85gAsX76czUufPn3Kwk6ePAkH ssjJgIODw6xZsw4ePAgtnDlzJj4+/k+9Tm7SpEl4eDgrh3kdlnt4eLBCup4s Rb+Tg4KC9EzPcHE0aNAgVlKrVi0oAbFIg9klZaaaIoBR2X748GGvXr3YihKm xCBkkWPv37/v4uLCZhRubm47d+786KOP4N/169dPSEiwwpcgTEHJTu7cubNG e0c4IyOjoJjMzEy8cfzuu+9KLzJnZ2fDUMR/o5Pbt2/PZC5Ej5Oln447VqxY MZiYYQk5WYp+J7Prw0lJSdJaXHd06tQJ/wS9FHSLCti2bRs2BQsr/t1TOEZl GyKFazrIkk7HQie+8847mv8LHD46H2YmCgslO3nhwoU4bGB29Msvvzx//lwa ExcXhzFr167V3xq7nqyzVo+TpZ+7fv16rIKlIpaQk6Xod/LixYuxVucbH3iF ijk5NzcXzoBQMnLkSGkwzPdU7mSYmSxZsgRWf4MHD8YpSokSJQICAoQxaWlp +Jjc+++//91337m6ujItOzs7x8bGWuFLEKagZCfDOBE+2Q7ahAnqvHnz7t69 y2L27duHtWFhYfpbs6CT9+7di1U///wzlpCTpeh38qZNm7A2Pj5eWlu9enWo 6t+/PyupWrUqlAwcOFAazJ7TKEpvjph8fMGyrlmzZhrtQ4bsfAfdhxd/WrZs +eTJE/YR3t7eeLKDA+3cuXMW23vCDJTsZAAOZ/awpVDO8+fPxwB/f38sPHPm jP6mLOhkdiIgJ+tBv5PZW34XL16U1pYpUwaqPv30U1aCt3Hd3NykwWvWrMGm UlNT+XdP4ZhzfIWHh2NCgoKCsITdBIE1hSiYXdjv1auXWXtMWAiFOxm5du3a jz/+OHXq1BYtWjAz7969G6qOHj2Kf+7Zs0d/IxZ0MruphPcH/xQ4mV2+LnpY 1skwK2P9KKp69OgRVsGZlxX26NEDSho1aiRtCt89AV6/fs2/ewrHnOOLXV6G 8YwlI0eOxBLpoym5ubn4oHjNmjXN2mPCQtiEk4Xs2rULR9fEiRPhz1u3buGf X3zxhf4NLejk4cOHa7RrQ1bFrjDfvn3bhC9lE1jWySDe4sWLYz+KqtgyRDip mzJlCjvrieKbNGmi0b73x79vysec4+vkyZOYq7Vr12LJqFGjsETnC9SYwPr1 65u8t4QFUbKTN23aJLx0jIAG8SIzzI6wpG7duhrt7ePk5GRR8JUrV44dO4b/ tpSTL1++jDJxd3dnhTDZw+BffvlF/5eyXSzr5H/+fbXB0dFROHnLz8/v06cP lJcvX174ExbsHRPhiyTAxYsXsXzZsmVGjkFFYzDbGRkZcPISvVj9jzaBvXv3 xpywZ783btyIJfAPUfzDhw/xlSjhk4dEIaJkJzdu3BgOzEWLFv3222/4nNvV q1dnz56NoyswMBDD2B23OnXqhIWFwQGenZ0dExMDM2cYbKLnk01wMhSCXlJS Uq5fv75lyxZ86wTOC3FxcSz4woULGNyxY8dr165lZmaCug1e4rYtOHscRPpc S0REBOZk//79WCL6mSAox4CuXbsmJiaCTMAPkG0snDRpkqhlvHUFJ8StW7dC a2/evDl//jysuLGwKF1M/ofj+EpISMDJLazR4MQEB8jLly9hHLq5uWEC27Rp AynCYFhO4gi3t7cXXiy6d+8ee7DzyJEj1v1KBB8Kd7LmX8CulStXZn/26NED vMcihS9Ww+hir4doJO/xmeBkKfARq1evFrXAfo+Loc53q8ESBeXN2dlZGAlz PLwKhJQtW1YYKXUsGJi9hlmiRAm8D4jdwRbpRQZOJxcEHCw3btwQxrN3qAE4 sjw8PMDG7EcDFi9ebOUvRPCiZCfv2bOnV69eeKGAUbFixXnz5sGEShQMs2Xh r1jgsPz8889h6GIAvu8P2+r8LLzNMWvWLFbCnDxw4EDhI3lNmzY9evSotAWY Hnfv3l24A+zqStGAs8fx1+l1AqkTBcPcGM6SsBpiMXZ2dv369YMTrs7GIckt WrTAx7eQGjVqwDgxeRwqFoPZhh7x9fUV/iQyAscLLDF0XjeGWbT0KaYmTZoc PnzYat+DMBolOxl59uzZ77///rOWuLg4Pe/0AWlpaWfOnIFV89WrV3W+Y8KP 8Hryo0ePLl++fOLECYOPVdy9e/fkyZOnT5+WXty2dczscT2AmWFSFxoaGh0d zfM/JIIeiYyMPHToUBG7XiGEP9uQjfj4+PDw8J9++ikxMdFgAmEMw/jcvn07 TC1u375dlH64qWigfCcXFnqeu1An1nMyIYWyrVrIyQVBThZBlpATyrZqIScX BDlZBFlCTijbqoWcXBCbN292dnZu1qxZdnZ2Ye+LIiBLyAllW7WQkwlOyBJy QtlWLeRkghOyhJxQtlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZ Vi3kZIITsoScULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtRSukwmCIAgp5GSC IAjlUFhOLuzlOGEEZvY4YRSUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYt5GSC E7KEnFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRkghOy hJxQtlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3kZIITsoSc ULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYtRcbJp06dmjNn ztdff52VlWXBZgmGVS3x+vVr6Dj++Ldv3758+dJKO6MErJrt/Px86FArNU6Y SZFx8sqVKzVanjx5YloLN27cSExMTE1NteBeFSWM7XE48N3c3FxcXC5fvqwz AFK9YcOG7t2716lTp3jx4tB3FStWbN++/Y4dO/Ly8nRuAh6G026nTp0cHBxg k+bNm48fPz45OdmUIahseLJ9+/ZtN71s2bJFGA89EhAQ0Llz5woVKkC2HR0d P/roo2PHjlnzexBGQ05mVKlSBTb38fGx4F4VJYzt8dDQUOyR48eP6wxo2bKl pgC6du365s0bUXxGRgbYWBpcvXr1mJgYk4eiMuHJ9pUrVwpKIAKDmQU/ffoU sqozbOzYsdb9MoQxkJMZ5GT9cPZ4SEjI6tWrPTw8SpQowePkFi1aLF68eO/e vbt27Ro6dGj58uVxq/nz54viBwwYgFVDhgzZv3//yZMnIaZkyZJQUqlSpZyc HJNHowIxysmw1vhMF/v27WPBgwcPxmDoGpgbJyQkQMLr16+Phbt377byFyJ4 ISczyMn64ezxevXqiaZhBTl51qxZ4eHhsKAWFt66dQu13LBhQ2H5gwcPUPKg FOGVDT8/P/yUHTt2mDQSFYpRTha6VyeQZ4z09vYWlsPSo1q1alBeo0YNo67n E9ZD4U7eunVrQEDApUuXnj9/fuDAgblz5/br12/ChAnff/89rMWEkXqcnJmZ GRwc/NVXX7m7u48aNQpmcdHR0cKA33//HT7F3t4eNu/Ro0eAANGnqBnOHl+/ fv0CLSNGjNDv5IIYOHAgbpidnc0KfX19sRA6SxgMSnd0dIRyV1dXoz5F4VjW yXD6w8iUlBRRVWBgIFb98MMPZu0xYSEU7uRSpUrBaAGXtmvXTjT76tChw507 d1hkQU6+evWqi4uLaFuYcS1duhQ8jzEbN27UFIBlJ/M2jbE9fvbsWdOcPHTo UNiqWLFiwicr+vbtq9HeBJTe/vPy8sI+LejOoC1iWSf36tVLo73CI61KTU3F RsaPH2/67hKWwyaczETasmXLTp06lS1bFkvc3NxYpE4nw4K3evXqWA4bzpgx Y/To0bBMwxKYPGDY3r17O3bsCBLQaG9GdxRw7949S7vNVpHHyW/fvsWrH7Vr 1xaWt27dGgq7dOki3YR1fXp6Ov8HKRyjnAwLOlArjPbc3FydkXh3r1y5cqIr RQCcyOzs7KC2d+/eltl1wjxswsklS5acNm3a/fv3sTA5Obl58+Y4Gn/99Vcs 1OnkL7/8EgthQc0KYXaNM2do/Nq1a6ycrifrRx4nb9++nZ0xheW1atXSaFdM 0k3YJeXExET+D1I4RjmZAfMKmHJMnz5d9HwgzEYwAAa8tJ06depAFRwUlvwC hKnYhJPZhJZx5MgR0VxX6uSMjIzSpUvjDFm0eVRUFAYLDUxO1o8MTr5x4wbe 4IP/wimYlcPsDp+v8PLykm61bds2/KATJ07w757CMc3JDHt7+wsXLrDI4OBg LG/RooXoXl5sbCze5itiF+RtF5tw8ty5c6VVVatW1Wgfi8I/pU6GwYYl/v7+ 0s2bNWsGVT179mQl5GT9WNvJaWlpjRo1wk1EF0hhSY5XlkaOHCndcOfOnep0 cnp6+urVqyMiImJiYiA4Ojp6x44dHTt2xGzAAQIpxUhIoJubG5ZXrFhxzJgx cEyNGzfugw8+YBofPny49b8WYRjbdTKc8TXaO334p9TJISEhWBIeHi7dvF+/ flDl5OTESsjJ+rGqkx8/fvz+++9j/KpVq6QBeAoeOHCgtGrz5s24YVF6c8Sc 42v06NGYEJges8Lnz5936dJFOqPGCxfAvHnzLLTvhFnYrpPxFK/Hyd9//z2W gBykmw8aNAiqwMOshJysH+s5OSUlpUmTJhi8bNkynTFNmzbVaO/qSqvWrFmD 26ampvLvnsIx5/i6efMmJmTmzJmiqtOnT8+ePXvYsGGwwITDKjQ0NC4uDoMD AgLM3mvCAtiuk2vWrAlVMLrwT6mTjx49iiV79+6Vbo53ops3b85K0MlTp041 RVgqwEpOvn79Ok7VihUr5ufnV1BYjx49IKZRo0bSqsmTJ+MHvX79mn/3FI45 x9erV68wITov9Yhgd0iL0irDprFRJ//+++84kBYvXowlUiez2cL8+fNFmz97 9gyfkfP09GSF6OQJEyaYrq0ijTWcfObMmcqVK0OMnZ2dcKEtZcqUKdia8N4f gnPsBg0a8O+b8jHn+IqPj8dcLV26VH9kVlYWzm169uxp2mcRFsdGnQwrLxx1 UVFRWCJ1cnZ2tpOTk0Z7s+Px48fCzf39/TEYlr2s0NnZGUq6detmlrmKLhZ3 8o4dO7B/K1WqFBkZqb+16OhonZ65ePGi/oseNgpPtsPCwmBKLC3H63JARESE ns1fvHghPI7M2l3CctiEk8GWW7ZsgUUuzJFOnz7t4eGBA2nUqFEsUufzybt2 7cLC9u3bJyQk/Kl9zzowMLBMmTIa7Q2+jIwMFuzu7g6FxYsXDwoKAoenpqaG hITQu9UMzh7Pycl5rgWEgMnfv38/lgh/Jui3337T/MvGjRuP6QJ8K2wZH5WB Dtq6dSu09ubNm/Pnz+M0DwqL0sXkf/iOr/Llyzs6OsLJ6Ny5c7D0e/36dVxc XP/+/TGrH374ofDFRjAwrETS09Pfvn2bnJy8d+9e9pSLzicMicLCJpysE1ix /vHHHyyyoHerPT092SbVqlXDJ5YBBweHgwcPCiOZQ4Tw7KRK4Oxx9lNjUuDc ysLOnDlTUJjOeAAMDDNqrCpRogSeWDXaC9Fr1641eSgqE04nC9OFjwuyoQ5z GGEwe4daCJzLli9fLn25jyhEbMLJMEFq2LAhG0gVKlSYMGECnPGFkatWrcJa 6cx23bp15cqVEw7Ftm3bXrlyRfpxMGETjvOSJUveunXLHI8VJTh7HK8X6aRp 06YsDKZ2Bp0M/S5q/Nq1ay1atBDKp0aNGnv27DF5HCoWnmzDmG/VqpUoaTBo x44dCwtAUbDIyTDB7tu3b1F6orvIYBNOnjt3bnZ29s2bN0+ePBkbGwv/NtYn sNQFCcPa7fDhw/p/wgLWgPARsHCGxbXwygZhZo9bEOjNyMjIQ4cOFbHrFUL4 sw2TEBjb4eHhBw4cgHNWQQ+f5OXlwcCGpB09epS9S0IoEFtxsgzOIfSjHCer Acq2aiEnE5yQJeSEsq1ayMkEJ2QJOaFsqxaFO7l169bOzs4bN26UwTmEfsgS ckLZVi0KdzKhHMgSckLZVi3kZIITsoScULZVCzmZ4IQsISeUbdVCTiY4IUvI CWVbtZCTCU7IEnJC2VYt5GSCE7KEnFC2VQs5meCELCEnlG3VQk4mOCFLyAll W7UUrpMJgiAIKeRkgiAI5VBYTi7s5ThhBGb2OGEUlG3VQk4mOCFLyAllW7WQ kwlOyBJyQtlWLeRkghOyhJxQtlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJ TsgSckLZVi3kZIITsoScULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCTCU7I EnJC2VYt5GSCE7KEnFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJy QtlWLbbr5IULF86ZM+fIkSOWcg6hH2N7PD8/H7YyeYSoHGs7+a+//rJe44Q5 KNzJN27cSExMTE1NlVaVKlVKo9HMnTuXxyeLFi16V0t8fLyxLiIQzh4HFQcE BHTu3LlChQrQQY6Ojh999NGxY8d4RsXDhw8HDBjg5ua2Zs0ak4dW0cC048tg AiMjI4cOHerk5ARdU6VKlT59+vj5+Zm9s4QlUbiTYdjA4PHx8ZFWGeXkCRMm aLRER0cbLSNCC0+PP336tGvXrhpdjB07Vv+2OTk5bdu2xeCRI0eaPLSKBiYc XwYTuHPnTjs7O2nXTJw48e3btxbaccJcVOLkjRs39tKSlJRktIwILTw9Pnjw YDzMPTw8YG6ckJCwa9eu+vXrY+Hu3bsL2jAvL8/T05NZgpxs7PFlMIExMTFY BSuXdevWRUVFbd26tUOHDli4YsUKi+4+YToqcTJhPgZ7PDw8HA9wb29vYXlG Rka1atWgvEaNGllZWTq3/fLLLyGgZMmS5GTE2OPLYAInT54M5XDUXLhwgRVm ZmY2btwYyhs0aJCfn2+ZXSfMQ7FO/v333wMCAuzt7WHA9OjRI0AALJD//L9O PnLkyIIFC9zd3UeMGLFy5cpHjx6JWouNjYUNg4KCnj9/zgphngCFly5d4mkB uXr16tq1a728vCDys88+g0ngxYsXoRH4h5nGUz4Ge3zWrFkohJSUFFFVYGAg Vv3www/SDTdv3oy1EFavXj1y8j9GHl8GE/jixQu8vA9z6YK2jYyMtMyuE+ah WCdv3LhR52VJADdEJw8fPrx3796igIYNG4I8ha2BZrHqyZMnrNCoFgA/Pz8H BweduwTzeYu5T6kY7PFevXpBKipVqiStSk1NxUSNHz9eVAVnwxIlSkDVnDlz 4E9yMsJ/fPEkMDo6GvO/YcMG0eZJSUlYtXTpUkvtPGEOinXy3r17O3bsWKxY MY32ClhHAffu3fvzX6MymjRp0q1bt8qVK+OfQ4YMEbamx8mcLWzatAnL7ezs unfvPmHChIEDB+KlFXIygnf3ypUrJ10F5+Xl4d0lOP0Jy+Pj48uXLw/lgwcP xq3IyQjn8cWZwJ9//hkH6qlTp6SN4IEwZcoUS+08YQ6KdTJi8HoyMGLEiOTk ZCy8e/fue++9B4Ugc6F+9TvZYAtQiK6uXbt2VFQUayEzM9PLy4ucjMyYMQPz ee3aNWltnTp1oMrFxYWVpKWlscKXL19iITkZ4Tm++BMYFBSEXXP58mVpO3iU DRo0yFI7T5iDrTt52rRponKm39jYWGmh1Mk8Lfj6+mLJ7t27RcGwb+RkJDg4 GLPUokUL0b08yCTe5nN1dcWSnJycNm3aQEn9+vUfP37MIsnJiMFsG5VANoCT kpKkTeEmnTp1stTOE+Zg606WPncRGhqKw+/o0aOsUI+TeVrw9vaGP8Eq2dnZ omByMiM3N9fNzQ1TV7FixTFjxkBux40b98EHH7ALRMOHD/9HeynDw8MDw0ST anIyoj/bxiZw8eLFmH9YD0pba9CgATlZORQ9Jx8/fhyHn/C1a6OcLG2hXbt2 8Gf79u2lu0FOFvL8+fMuXbpoJOASG5g3bx6EXbhwAf/cv39/1v+lVq1auI7G P0E+Jo8xm0Z/to1NILsbEh8fL22tevXqUNW/f38rfh+Cm6Ln5BMnTpjpZGkL 7777LvzZvXt36W6Qk6WcPn169uzZw4YNGzJkCKQX1h1xcXGY0oCAAAg4f/68 1Ns6ET5Mqyr0Z9vYBLKl38WLF6WtlSlTBqo+/fRTK34fghubcPLUqVOlVXI6 uUePHvCns7OzdDfIyTz4+flhSmNiYv4xRikQafIYs2ks5WRM4Llz5/BP6auU jx49wqr58+db9ysRfNiEkydMmCCtktPJ48aNgz+LFy8ufTWbnGwQWEHXrFkT stSzZ08sefv27eMCeOeddyBy4MCB+Kdqf4dBf7aNTSCIF0avRvvTFqKm9u3b h6N9586d1v1KBB8KdzJMTWG0dOvWTVolp5P37t2LJZ988klGRgYWZmdnb926 tUaNGuRkPbx48WLIkCGYvaioKIPxdI8PMfn4KiiBffv21Wgf9U9PT2eF+fn5 ffr0gfLy5cvn5OSYtceEhVC4k93d3XGCGhQUBCf91NTUkJAQ6bvVQqzhZIA9 PNC4cWNvb2+QM/tpHXIyAwwcHBwMRz1Mz5KTk+Fc1qhRI0yRl5cXz8AgJyMW d/L+/fuxI7p27ZqYmAg2fvjw4cyZM7Fw0qRJlthrwgIo3MkRERHSS2T/T/Bu tWxOjo2NxXdJhFSrVg0Lq1evboLlbAueHmfvUAuBU+ry5cs5f+KGnIxY3Mm5 ubnDhw9nnVK2bFn2b1iNQsdZYq8JC6BwJ/+p/eELfHsUKVmy5K1bt6Acf55o 3rx5ovhTp05h5LFjx1jhqlWrsBDn2IhRLQBpaWkrVqwYPHiwi4vLiBEjfH19 U1JSxo4dC5GtW7c2ym+2iAlOhpUyLJnhHMc/MPDn1kW/LKdCTD6+9CQQTosw AxEeTXZ2dv369cvMzDR7fwmLoXwnA8+ePYNpKhjyt99+Y5dzFULHjh012uvM hb0jVoenx/Py8qCnDh06dPToUTiFmTw8CDOPLz2AmW/cuBEaGhodHf3q1Str fARhDjbhZCXw4MEDmE6ICsPCwnC+AXPmQtkrObGeJQgplG3VQk7mZN68eZUq VRo0aNCCBQsCAgLWrVs3atQo/Nm62rVrp6enF/YOWh2yhJxQtlULOZkTcLL0 7pVG+//OiIiIKOy9kwOyhJxQtlULOZmTkydPjhkzplWrVjArLl++fKNGjXr3 7v31118/ePCgsHdNJsgSckLZVi3kZIITsoScULZVCzmZ4IQsISeUbdVCTiY4 IUvICWVbtZCTCU7IEnJC2VYt5GSCE7KEnFC2VQs5meCELCEnlG3VQk4mOCFL yAllW7WQkwlOyBJyQtlWLYXrZIIgCEIKOZkgCEI5FJaTC3s5ThiBmT1OGAVl W7WQkwlOyBJyQtlWLeRkghOyhJxQtlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1 kJMJTsgSckLZVi3kZIITsoScULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCT CU7IEnJC2VYt5GSCE7KEnFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlO yBJyQtlWLeRkghOyhJxQtlWLwp28cOHCOXPmHDlyRAbnEPohS8iJsdl++/Zt RkZGfn6+9XaJkAeFO7lUqVIajWbu3LkyOIexaNGid7XEx8fL+bkKh6fHb9++ 7aaXLVu26Nn84cOHAwYMgLA1a9aYPLSKBjzZfvbs2Y8//uju7t6gQYOSJUvC kWJnZ+fk5ATTmJSUFHn2k7A45GQpEyZM0GiJjo6W83MVDk+PX7lyRaMXHx+f grbNyclp27Ytho0cOdLkoVU04Mn2oEGDCspz1apVr1+/Ls+uEpaFnCxl48aN vbQkJSXJ+bkKxygnd+/e/TNd7Nu3T+eGeXl5np6eTCnkZH4nw8T4q6++2r59 +6lTp+C/HTt2xBw2a9ZMnl0lLAs5meDEKCcX5N6C+PLLL2ErXICTk//hO75W rVq1a9eu3NxcYeGbN286dOiAaUxPT7fmPhJWwVac/Pz585CQkDlz5vTr12/C hAkBAQEZGRnS+MzMzODgYJg2uLu7jxo1avXq1TqvP8TExEALQUFB+Ofjx4+P Hz8Ofx44cAD+jI2NxVr4ULbJ1q1bofDSpUvw7yNHjixYsAA+YsSIEStXrnz0 6JHOnc/Ozt67d++MGTPc3NwGDBgwb968q1ev/vjjj9BOXFwchwWVhfWcvHnz ZtwqMDCwXr165OR/zDu+YHBiPmGYWXavCBmwCSeDh9u0aSO6YtapU6e7d+8K g8F4Li4uorASJUosXbpUaFcASrD2/v37sKAuXrw4/mlnZwe1oFn888mTJ6I9 GT58eO/evUUf0bBhQ/ho0Z7fuHGja9euBV3uW7dunelyLCSs5GQ4wUEfwSZw woU/ycmIOcdX3759IYelS5d+9eqVZfeKkAGbcDIC5mzevDmouFy5clgCM1UW +eDBg+rVqzNdw+x09OjRNWrUwJJZs2YJm2VOrlWrllCVBp3MaNKkSbdu3SpX rox/DhkyRNg+bNigQQOsgn8MGzZszJgxwvNFkXcyrAVSU1OhU0QraxHx8fHl y5eH+MGDB+NzXORkxITjKy8vD/L/xRdfYBf4+vpaad8Iq2ITTi5ZsuS0adPg GMfCW7dutWjRAgfeb7/9hoV4QRJYv3492/zOnTtoQmjn2rVrrJw5GQXu7+8P 7cBCLzw8/E9DTh4xYkRycjIWwkT9vffeg8JixYoJg7/++msMnjp16rNnz1h5 bGysSpzMgMzAmXH69OmQNFFwWlpanTp1IAb66OXLl1hITkaMOr4ePnzYq1ev KlWqYM7t7e1ByPSsso1iE04WzXKBo0eP4vCbPXs2/JmRkQErNRSsKDIqKgoj fXx8WCFzsp+fX3Z2tmgTPU6GU0NBweBbLIEGcSbfrFkzUeMwb1SbkxkgigsX LrDInJwcvB5Vv379x48fs3JyMmLU8QWRwlR7eXklJCRYdfcI62ETTpY+dwGu w1kBDL8/BfNPmPFKGwE3QlXPnj1ZCXOy6DozosfJ0j0JDQ3FYDhNYMn169ex ZMOGDaLgIu/k9PT01atXR0RExMTEQHB0dPSOHTvY01lVq1aFufE/2lW2h4cH lFSsWBHWL8IWyMmIUcdXZmbmkiVLYOoyePBgBwcHjfY2SkBAgFX3kLASNupk AC9fwPEO/w4JCcGjHi8+iOjXr59G+xgnK7Ggk48fP47B7AXwn376CUvCwsJE wUXeyQUxevRo/OLBwcHwJ0yY8c/9+/dn/V/wCv+gQYPwT7C3yWPMpjE527Bm xEkIjFjp9SJC+diuk1u3bq3RXoqEf3///fd4jJ89e1YaiY/Ww7yalVjQySdO nBA5edu2bVgCVaJg1Tr55s2b+MVnzpwJf54/f17Dh/Byh6owJ9swM8HsBQUF WXavCBmwXSfXrl0bqoYOHfqn4PLy3r17pZH4TFrz5s1ZiVWdzEp2794tClat k1+9eoVfHC9K8DsZIk0eYzaNOdlml5fxDEjYFjbq5Fu3buFDxQsXLoQ/2TRs /vz5oshnz57hM3Kenp6s0KpOhgUjlowdO1YUrFonx8fH4xeHzP+j/RGzxwXw zjvvQNjAgQPxT4g0eYzZNOZk++TJk5jttWvXWnavCBmwUSdPmTIFR90vv/zy p/aWn5OTk0Z7FwkOZGGkv78/Rq5Zs4YVWtXJQMuWLaGkTJkywssXN27c8PLy KtpODgsL0/meAvu1nIiICP0t0D0+xGC2MzIy9u3bJ338Oz8/n73WdOrUKWvu I2EVbMLJ7dq1O3DgAL5MDVtNnToVh5zwnZFdu3ZhYfv27RMSEv7UvmcdGBgI YtRob/AJ38W2tpPhYMFC2KpPnz7jx4/v2LEjPq1XtJ1cvnx5R0fHZcuWnTt3 DlYor1+/jouL69+/P37rDz/80OA9O3IyYjDbMMg12icJ169ff/HixaysrJcv X164cMHNzQ2z3aZNmzdv3si2w4SlsAknM/A5HwQWuaLfNxb+sFi1atWYA2Gr gwcPCiOt7WRg/vz5Ggk9e/bEf3z77bcGv7vS4HSy8PsWK1ZM2CM8vx5JTkY4 nVwQlStXhnWZbHtLWBCFO9ne3h4GWNu2beGIFg65Xr163blzRxoP80/25jUC 2165ckUUtnz5cjSGTievWrUKt3369KloT+bNmycKhuUhBh87dkxUdfTo0WnT pnXp0gX2dvr06YcOHWI3X0JDQw1+d6XB0+OQulatWon8ULJkybFjx8I6hWdg 4DUob29vk4dW0cBgtqFHfH19pdkuXrz4pEmTYOjKtquEZVG4kxlwRMMCbc+e PTDjvXfvnp5I0CxIODg4+PDhw/oj5SciIgIPnJiYmMLeF6Ph73EQAnRBeHj4 gQMHrl279vr1a5PHiWrhzzYMeFgwQrZ/+umnxMRE+t0hW8dWnGxzSE8HT548 cXV11WiflBbOwG0FM3ucMArKtmohJ1sJcC+sK6dOnbp27drAwMAFCxa8++67 OEkW/kqSDUGWkBPKtmohJ1uJgm6+DB06NDMzs7D3zhTIEnJC2VYt5GQrMW/e PDc3t8aNG1epUqVq1art27cfNmxYREREYe+X6ZAl5ISyrVrIyQQnZAk5oWyr FnIywQlZQk4o26qFnExwQpaQE8q2aiEnE5yQJeSEsq1ayMkEJ2QJOaFsqxZy MsEJWUJOKNuqhZxMcEKWkBPKtmohJxOckCXkhLKtWgrXyQRBEIQUcjJBEIRy KCwnF/ZynDACM3ucMArKtmohJxOckCXkhLKtWsjJBCdkCTmhbKsWcjLBCVlC TijbqoWcTHBClpATyrZqIScTnJAl5ISyrVrIyQQnZAk5oWyrFnIywQlZQk4o 26qFnExwQpaQE8q2aiEnE5yQJeSEsq1ayMkEJ2QJOaFsqxZyMsEJWUJOKNuq hZxMcEKWkBPKtmohJxOckCXkhLKtWsjJBCdkCTmhbKsWhTt5yZIlc+bMCQ8P t75yCANY2xJ//fUXf3B2dvbjx4+ttzOFjlWznZ+fDx1qpcYJM1G4k8uVK6fR aGbOnGl95RAGMLbH4cB3c3NzcXG5fPmynrDIyMihQ4c6OTlBR1epUqVPnz5+ fn4FBSclJUGwo6OjRouDg0Pbtm2Dg4Pz8vKMGHy2AE+2b9++7aaXLVu2COOh RwICAjp37lyhQgXIHqTxo48+OnbsmDW/B2E05GSCE2N7PDQ0FM15/PjxgmJ2 7txpZ2enkTBx4sS3b9+KggMDA0uUKIEBxYoVY/8GwOTSeJuGJ9tXrlyRpk6I j48PC3769GnXrl11ho0dO9a6X4YwBnIywQlnj4eEhKxevdrDw4M5syAnx8TE YABM2NatWxcVFbV169YOHTpg4YoVK4TBsbGx2OB7770HYQ8fPszOzgbtw0wP 45csWWLyaFQgRjm5e/fun+li3759LHjw4MEYDF0Dc+OEhIRdu3bVr18fC3fv 3m3lL0TwQk4mOOHs8Xr16ommYQU5efLkyVBbqlSpCxcusMLMzMzGjRtDeYMG DWCtzcqnTp2Krd24cUPYyKtXryASylu2bGnqYFQiRjlZ6F6dhIeHY6S3t7ew PCMjo1q1alBeo0aNrKwsc3easAQ26mQ4coODg7/66it3d/dRo0bBxCw6Olq6 OUyoAgICLl26BP8+cuTIggULIH7EiBErV6589OiRzk+8evXq2rVrvby8IBJm GjCXuHjxIjQC/zBeY0UKzh5fv379Ai2QZz1OfvHiBV7V9PT0FFVt3rwZN4yM jGSFvXv3hhKYKr98+VIUP2DAAKgqU6aM8cNQuVjWybNmzcLIlJQUUVVgYCBW /fDDD2btMWEhbNHJoE0XFxfRZAyO1qVLlz5//lwYCXMwqBo+fDge0UIaNmwI 7Yg+zs/Pz8HBQXrBTaO9/WS21WwbY3v87NmzepwM51Cs3bBhg6gqKSkJq6BD WeGiRYuwcMeOHaJ4nFfDOZR/35SPZZ3cq1cvCKtUqZK0KjU1FRsZP3686btL WA6bc/KDBw+qV6+Oo6hTp04zZswYPXo0rLywBOYDws3RyYwmTZp069atcuXK +OeQIUOEwZs2bcJyOzu77t27T5gwYeDAgaBicjJiWSf//PPPWHvq1ClpLXbc lClTWMnly5fZydfX1/fvv//GcrYqL2LTPKOcDOs4UCscGrm5uToj8e4eHE3C y0FIXl4e3maFeYtldp0wD5tz8pdffonjENbIrPDOnTs4c4Zj+dq1a6ycORnW 0cnJyVh49+7d9957T6O9d//kyRNWiK6uXbt2VFQUayEzM9PLy4uc/KelnRwU FIS1Op+Uw1PhoEGDhIX+/v7sIQ1HR8e5c+du2bIFu/jzzz9/8+aNsYNQyRjl ZAYMaZifTJ8+HUa7MBKmLhgAR4e0nTp16kAVHEGW/AKEqdiWkzMyMkqXLo0z ZFEkiBRHnY+PDyvEA3batGmi4JUrV2JwbGwslsDUC0t2794tCoYGycl/WtrJ LOFJSUnSWrxRCL0sKt+wYYNGAgjZqLFnE5jmZIa9vb3wzmlwcDCWt2jRQnQv Dw4BvM3n6upqlW9CGIltORnGDw4tmDJJg5s1awZVPXv2ZCXoZJhQiSLZo7NH jx7FEm9vb/gTBmd2drYomJyMWNbJixcvxlrRjA7BRylEToYVOnbonDlzoFOq Vq2KLRQvXnzevHmvX782dhAqGZ5sp6enr169OiIiIiYmBoKjo6N37NjRsWNH TAvkJy0tDSNzc3Pd3NywvGLFimPGjIGDYty4cR988AHT+PDhw63/tQjD2JaT Q0JCcPzofNu6X79+UOXk5MRKCnIyWALbOXLkCJa0a9cO/mzfvr20WXIyYlkn s6v38fHx0lq8ZdC/f39Wsn79eowPDAzEkr///hsUVLduXSwvYpdDzTm+Ro8e jTmB6TErfP78eZcuXaQzarxwAcB5zUL7TpiFbTn5+++/x/EDx7s0eNCgQSJ5 FuTkEydOiJz87rvvarTP3kubJScjlnUyW6pcvHhRWlumTBmo+vTTT/FPmObh 1X6YP4siMzMzcX0ECFfrto45x9fNmzcxIXDgiKpOnz49e/bsYcOGDRkyBI4L 6IW4uDgMhmWI2XtNWADbcvLRo0dx/Ozdu1cajDeXmzdvzkr4ndyjRw/409nZ WdosORmxrJPPnTuHtdI3yB49eoRV8+fPx5Lk5GQsET6JwVizZk3Rs4o5x9er V68wISNHjjQY7Ofnh8ExMTGmfRxhWWzLyWwCAEerKPLZs2e44PX09GSF/E4e N26cRntlMikpSRRMTkYs62QQL2Rbo/1pC1HVvn37cMOdO3diyR9//IElwh9w kMb/97//5d89hWPO8RUfH48JET7grZOsrKyaNWtqtHdhTPsswuLYlpOzs7Px B8SqVq36+PFjYaS/vz+OQ5g1sUJ+J8PEG0s++eSTjIwM9nFbt27Fh5/JyZZ1 MtC3b1+N9qm29PR0Vpifn9+nTx8oL1++fE5ODiusWLEiFNatWxc6RdTO9OnT 8YNiY2ONHIbKhSfbYWFhMCWWluNFPCAiIkLP5i9evBgyZAhGRkVFmbW7hOWw LScDu3btwlHUvn37hISEP7WPEAcGBuIVSDA2M+qfxjgZYPegGzdu7O3tDXJm v9BCTv6T28kg0udaQAiYuv3792MJcywC5RjQtWvXxMREEO/Dhw+hr7Fw0qRJ wuDPP/8cy93c3NjjBHl5eT/88APOt1u1amXyaFQgPNmG0xac0ZYtW3bu3DlY J75+/TouLq5///6YqA8//FD4E6Zg4ODgYDj9vX37Njk5GSYhjRo1wkgvLy8r fxvCCGzOyYCnpydTZbVq1fCJZY3213QPHjwojDTKyTDLwndJhED7WFi9enUz fFYU4Oxx4YlMhLOzszAyNzd3+PDhrLZs2bLCyNTUVGHwy5cvW7ZsyTra1dV1 wIABuGjSaH9C5969eyaPRgXC6WRheosVKyYct9evXxcGs3eohcDpbPny5dKX +4hCROFOxp+pEb0xDaxbtw51zWjbtu2VK1dEYfb29hrtQz6i8lOnTuFWx44d E5bDBGzFihWDBw92cXEZMWKEr69vSkrK2LFjIbJ169ZGW6xowdnjzJNSmjZt KgoGG8AZU+gWOzu7fv36wdpH2jJMs5csWSL6QZKSJUv6+PjA4sjkoahMeLK9 atUqWB2IkgwJgRErTYjIyTDB7tu3L0xOrPYNCBNRuJP1AGthkDAsxw4fPgxz JEuZRwo+hP/JJ59Y7yNsAjN7XA9g5hs3boSGhkZHR+u8QCoE1uDx8fEHDhyA rr98+bL08nLRgD/bT58+hQMhPDwccnLt2rWC3p3Jy8uDleChQ4eOHj3KLv4Q CsR2nWxxHjx4ANMzUWFYWBjOK2DOXCh7pRys52RCCmVbtZCTGfPmzatUqdKg QYMWLFgQEBCwbt26UaNG4TW62rVrp6enF/YOFjJkCTmhbKsWcjIDnKzzKmiN GjUiIiIKe+8KH7KEnFC2VQs5mXHy5MkxY8a0atUKZsXly5dv1KhR7969v/76 6wcPHhT2rikCsoScULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC 2VYt5GSCE7KEnFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlW LeRkghOyhJxQtlVL4TqZIAiCkEJOJgiCUA6F5eTCXo4TRmBmjxNGQdlWLeRk ghOyhJxQtlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3kZIIT soScULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYt5GSCE7KE nFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRkghOyhJxQ tlULOZnghCwhJ5Rt1UJOJjixtiX++usvE7Z69erV33//bfGdKXSsmu28vLy0 tDRInZXaJ8xBVU5+9OhRYmLi1atXpVUpKSnvapk6darMe2UrGNvj+fn5bm5u Li4uly9f1hMWGRk5dOhQJycnjUZTpUqVPn36+Pn56W85KSlp9erVXl5ejRs3 LlasGGzYrl07/h2zCXiyffv2bTe9bNmyRRj/5s2bzZs3N2vWrFSpUpA0SF2t WrUmTJhw7949a34VwjhU5eR169ZptDx48EBUBcMbqz7++GOZ98pWMLbHQ0ND MaXHjx8vKGbnzp12dnYaCRMnTnz79m1Bm5QpU0YUD24xeggqG55sX7lyRZo6 IT4+PiwYerBVq1asqmTJkuzfoOhTp05Z+QsRvJCTESjppeWbb76Rea9sBc4e DwkJgUmsh4dHiRIl9Ds5JiYGAxwdHaFroqKitm7d2qFDByxcsWKFKB4m3lOm TMHacuXKwYomMDAwIiLC399/0qRJJg9FZWKUk7t37/6ZLvbt28eChwwZwkQN qc7NzU1ISPD19XVwcMAVytOnT638nQguyMkEJ5w9Xq9ePdFsrSAnT548GSdp Fy5cYIWZmZmNGzeG8gYNGoCEhfFhYWHYYOfOne/cuWPy2LMJjHKy0L06efHi BU6Mvby8RFUBAQHYCKTXrD0mLITCnXz16lWYO82dO3f8+PGenp6jR4+ePXv2 //73v+fPn+uMB9kGBwcvWLBg6NChcMivXbsWJmNYtXv3bijE4bdx48aAfzl9 +jQG7NixA/68ePGiqE2wBLT51Vdfubu7jxo1CiaB0dHR0o+GD4LNg4KC/tRe CYHJ27hx4/r27fvFF1+AlPjVp1g4e3z9+vULtIwYMUKPk8ESFSpUgFroVlHV 5s2bccPIyEhWCH7GpXeNGjWgR0weeLaCZZ3MliTQLwU1smbNGrP2mLAQCndy x44ddV4oq1+/PpMtA070tWrVkgZ/+OGHUFutWjWdTY0dOxY3h+Uw/Dlz5kxh m3BScHFxEW0Cq/KlS5eKzgtQgrXffvttpUqVRJssXLjQLCEqAGN7/OzZs3qc DOc1rN2wYYOoKikpCasgpazw4MGDWAjnVtOGnG1hWSfn5OTY29tDpLOz88uX L4VVMN/ARvTfiiVkwyacDAaGOerEiRNhnvzee+/hEGrUqFF6ejqL3LZtGxNm 165dYV7dvXt3nIkVL14cAvr378+W1e3atev4LytWrMAWpE6GWXf16tVxk06d Os2YMQN2AOZpWDJr1izhrjInI/DR3bp1a968Of4J+yA9idgWlnXyzz//jLU6 7y7hgwFTpkxhJZMmTcLO/euvv1JSUn755ZfAwEDodPiUgu4G2jRGORkWaKmp qTBcc3NzCwqGIwiDW7RokZiYiIXg5y5dukBhnTp1RFeKiMJC4U4OCQn57bff RIXgRhxdcGBiyf379x0dHTXau0UnTpxgkY8fP547d27ZsmXxT/3Xk6VO/vLL LzEe1uOs8M6dOzhzBm9cu3aNlTMn165de9euXWwWDdvqdLjNYVknBwUF6Zme ValSBaoGDRrESnr37q3RPr6F/xDSsGHD0NBQEwahkjHKyQzID8wZpk+fnpyc LAqGY0S44nNzc9u5c+dHH32Ec56EhASrfRXCOBTuZJ3AeMNxBcteLGE+xMu5 ImAKgf8wyskZGRmlS5fGGbIoMioqCtvx8fFhhWwf0tLShMGZmZl4KQMMY9r3 VQiWdbKvry/WJiUlSWtxRQOZZyXvv/8+8wnMlkEjsAbBdZBGuwyJiIgwYRwq FtOczLC3txfeOUWgE9955x1RpIODA6w7rPY9CKNRvpOzs7NhqgyzzWHDhnXv 3h1WXuyi8ZIlSzAGb95VrVq1oHt/iFFOjo2NxWB/f39pcLNmzaCqZ8+erIQ5 WboPrVu3hnJYJPJ8X8ViWScvXrwYa6UzOqBBgwYiJ+MzyXXr1v3hhx9evHiB hX///fe3336L7cBqqCg9zcWT7fT09NWrV8PJKCYmBoKjo6N37NjBbsHA4QDT AxYM/8YqOLt99913rq6uTMvOzs4w2q38hQheFO5kGCrsArIU5uQPPvgA/mzf vr3+1oxyckhICAaHh4dLg/v16wdVTk5OrESPk7t27arRPsFl8PsqGcs6edOm TVgbHx8vrcXL+P3798c/c3Nz8Wnn0aNHS4PnzJmDTR09epR/9xSOOccXZAkT EhwcjCXQfTiTadmy5ZMnT9hHeHt744uQJUuWPHfunGV2nTAPJTs5KioKPQnA VBNs+f333//888/nz58XObl27drwZ+/evfU3aJST4bMwGNwiDR40aJBG+6Q9 K9Hj5B49epCTRbC3/C5evCitxVnxp59+ykpw5tyrVy9pMLSATfn6+vLvnsIx 5/i6efMmJgQGM5Zs2LABS3bu3CkKZhf2deaWkB8lO5ndy9u8ebOoCk/uzMl4 77hZs2b6G2ROvn//vrRW5GSYdGHw3r17pcE49W3evDkrISeL0O9kmJVhrfTZ tkePHmHV/PnzWaGbm5tGeztP2tQff/yB8V9++SX/7ikcc46vV69eYUJGjhyJ JfAPLElPTxcFwxoEL8vXrFnTrD0mLISSnQzrLBgq7777rrRK5GSYUMGfpUuX vnv3rp4G2SMQt2/fltaKnMwmG2AGUeSzZ89wce3p6ckKycki9DsZxFu8eHGN 9qctRFX79u2TTurwrWpYYksvGp8+fRrjYcrHv3sKx5zjKz4+HhPCHvAeNWoU lui85N6kSRON9ukLk/eWsCBKdjIuVx0dHTMzM4XlbIrFnLxlyxYsET4IgYAh 2U06mJJhGHuITojIydnZ2fhjZVWrVn38+LEwEhrEdtasWcMKycki9DsZ6Nu3 L/avcPKWn5/fp08fKC9fvnxOTg4rj4iIwNbGjRsnaoe9nqnz0rSNwpPtsLAw nb+3iRfWAPYsysaNG7EE/iEKfvjwIT5fJHzykChElOzkjz/+GAfS5MmTz5w5 k5KSEh4eDlNinCQLnZyVlcV+82rSpEnXr1//U/vLnDt27IByfGcEuHDhAsZ0 7Njx2rVroPrLly9Dy1grfT55165dGN++ffuEhIQ/tQ+2BQYG4tVOMHZGRgYL JicjINLnWphF9+/fjyVCxwJQjgFdu3ZNTEwEG4MfIP+sH0Uts7ceYOWCj178 9ddfs2fPxkIws8mjUYHwZBtOW3BGW7ZsGcxSYO32+vXruLi4/v37Y0I+/PDD vLw8jLx16xYOb3t7e+HFonv37sGw1GgfbD5y5IgVvw/BjZKdfP78eeEvCjLY rzsyJ2MwvmiA4JukCHPyn7pe1tb/brWnpyeLrFatGs4oNNqnOg8ePCiMJCcj sASWdhni7OwsjMzNzR0+fDirLVu2rDAyNTVV1DKIhT2QXKJEiVq1auHVD432 AhdIyeTRqEA4nSxML5ur4FiFmYkwmL1DDTRu3NjDwwMGJBvPixcvtua3IYxA yU7+U/tAWs2aNYWjrlevXtHR0fhkFGhQGHz37l1vb2+hjTXa2UJAQACLgelx 9+7dhQEwCccqPN6lb9utW7eOPf6BtG3b9sqVK6Kw5cuX4x5KndyzZ0+ocnV1 5ZOfQuHscbzgo5OmTZuKgmFuPHfuXKFb4ITbr1+/gn5l6P79+2z1hMBZG7qM PbFcZODJ9qpVq4Q/icwSAtMMWMFJ42GdyH4KldGkSZPDhw9b50sQpqBwJwPp 6emRkZHbtm0LDw9PTk42GA9KhIUwPjJX0G9ygr1Pnjx5+vRpngaxTZAwzDRg 9MJyj2eTooeZPa4HMPONGzdCQ0PhbMvzPyTKysoCvcD5GpbqRfJ//PSPMcfX 06dPYXDC0XHgwAGYcrx+/Vp/PJzXYORv37796NGjt2/fZtc3CIWgfCcTCsF6 TiakULZVCzmZ4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYt5GSCE7KE nFC2VQs5meCELCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRkghOyhJxQ tlULOZnghCwhJ5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi2F62SCIAhCCjmZ IAhCORSWkwt7OU4YgZk9ThgFZVu1kJMJTsgSckLZVi3kZIITsoScULZVCzmZ 4IQsISeUbdVCTiY4IUvICWVbtZCTCU7IEnJC2VYt5GSCE7KEnFC2VQs5meCE LCEnlG3VQk4mOCFLyAllW7WQkwlOyBJyQtlWLeRkghOyhJxQtlULOZnghCwh J5Rt1UJOJjghS8gJZVu1kJMJTsgSckLZVi3kZIITsoScULZVi5KdfOvWrTla 9uzZI492CD1Y1RKvX7/Oysrij3/58uWbN2+stDNKwNhs5+XlpaWlvXr1iifY 2GwTcqJkJ8fExGi0jBkzRh7tEHowtsfz8/Pd3NxcXFwuX76sMyA1NXXDhg3d u3evU6dO8eLFoaMrVqzYvn37HTt2gGF0bnL37t1Ro0Y1bty4WLFidnZ2zZo1 ++KLL4qkXjizDSemzZs3Qx5KlSoFCYS01KpVa8KECffu3RNFmpBtolBQspNv 376NTp45c6Y82iH0YGyPh4aGYvcdP35cZ0DLli01BdC1a1fpNHjbtm1ly5aV BteoUePSpUsmD0VlwpNt6JRWrVqxPJQsWZL9GxR96tQpYbCx2SYKCyU7OTMz E8fM8uXLZbEOoQ/OHg8JCVm9erWHh0eJEiV4nNyiRYvFixfv3bt3165dQ4cO LV++PG41f/58YTBMttE5lSpV8vPzi42NjYqKmjhxIswModDZ2bmIWYUn20OG DMFc+fj4QDZyc3MTEhJ8fX0dHBygsEqVKk+fPmXBRmWbKESU7GSgQoUKMGD8 /f1lcA6hH84er1evnmgaVpCTZ82aFR4enp+fLyy8desWiqJhw4bC8tatW0Oh nZ1dUlKSsHzp0qX4Kf/5z3+MH4bKxWC2X7x4gScpLy8vUVVAQADmJCwsjBUa lW2iEFG4k52cnGDAwGldBucQ+uHs8fXr1y/QMmLECP1OLoiBAwfihtnZ2ViS lZWF8+Hx48eLgv/+++8GDRpAVe3atY36FIVjMNvsbgukWlR15coVrFqzZo3B D5JmmyhcFO7kNm3awGj55ZdfZHAOoR9je/zs2bOmORnW1Brt7aqXL19iSWRk JDb13XffSeM//fRTrE1JSTHqg5SMwWzn5OTY29vjdRuWKCQ4OBgTUtDdVSHS bBOFi8KdDMfgtGnTkpOTZXAOoR95nPz27Vu8+iGc954+fRqbWrdunXQTX19f rP3111/5P0jh8GTb3f3/a+/Mw2u69j4eIqWtGKpF1S1KW3NbbQ3Vq6r0tlzU +N6WDi5uew2liqriUiqGcNUsVIJoEFNNMcSUxhhDYqi8SAyREGTQpoZQfb/P +T32s98zZZ9p55yzv58/8py9pr3Ob631Xb+19tonreWL16tX79ixYxIIaX39 9dcRWLlyZbOdCkusWpsULl6uycR70EeTw8PDJdegQYOUwJycHAns3LmzZZYF CxZI7KZNm7TfyMvRYu20tLSGDRsq+/atWrVatGhRixYt8LlKlSpJSUkF3sWq tUnhQk0mGtFBk0+dOiWPnPAXgqOOqlGjhpQGBVaH//bbb/3795eo7du3a6+e l6PR2miXJ598MuD/88gjj2jZxrFjbVKIUJOJRjytyenp6dWrV5csy5YtM4uN jY1Vzt82btx4wIABAwcObNeunXKaCyQnJzvQBb0bLdaGxZo0aYIv/vzzz0+b Nu2vf/2rYopatWodOnTIfl471iaFCDWZaMSjmnzlyhUIi6QPCQmxmiYiIqJk yZJmPmFgYGBQUFCA6SmVxjeLfYICrY0WqVSpEr54/fr1r169quTq3r27nFHB FLZ7926rebVYmxQW1GSiEc9pMhbaNWvWlMRjxoyxkzIrK2vKlCm9e/du3759 r169JkyYkJKS0rFjR2SsWLGi9rp5PwVaG3YQiy1atMgsKiwsTKJatmxpmVG7 tUmhQE0mGvGQJp88ebJy5cri6E6fPt3RjpSfn1+hQgVkb9OmjaN5vZkCrf3B Bx+IeTMzM82i7t69Ky9bWc5TLlqb6AA1mWjEE5q8c+fOsmXLBphe0IuMjHSi I2HpLXf5+eefncjutRRo7W7duskXV79ArSCecJUqVdSBrlub6AA1mWjE7Zoc EREhv2ZWpkwZ545M4BYPP/wwSmjRooUT2b2ZAq09depUMS8+mEVlZGQUL14c UR07dlQCXbc20QdqMtGIxhbPy8vLNbF+/XoRjejoaAlBlJLswIEDynM6qEqM Nfbs2aMueceOHQkJCbdv387JyYmPj+/Xr588zAoODkZpTndF76RAa589e1ae eJYoUWLJkiVK+Pnz55s2bSq7Exs3bpRAJ6xNCgtqMtGIxhbHejnABrVq1VKS YR1tK5nV9H+q3qFWU6dOHX86AqegxdrKO9SgRo0abdu2hRqLhwxGjhyppHTC 2qSwoCYTjWhscfnZKKvUrl1bSbZ79+4CVQJ6qy5ZrclBQUEvvPDCwIED1b63 P6HR2lgvNGrUyMxuNWvW3LBhgzqZE9YmhQU1mWjExRZ3natXr27ZsiU6OvrQ oUO3b98uxJrogEPWTktL27FjR3h4+KZNm1JSUvh/Q3waajLRSKFrsqGgtQ0L NZlohCqhJ7S2YaEmE41QJfSE1jYs1GSiEaqEntDahoWaTDRCldATWtuwUJOJ RqgSekJrGxZqMtEIVUJPaG3DQk0mGqFK6AmtbVioyUQjVAk9obUNCzWZaIQq oSe0tmGhJhONUCX0hNY2LNRkohGqhJ7Q2oalcDWZEEKIJdRkQgjxHgpLkwt7 OU4cwMUWJw5BaxsWajLRCFVCT2htw0JNJhqhSugJrW1YqMlEI1QJPaG1DQs1 mWiEKqEntLZhoSYTjVAl9ITWNizUZKIRqoSe0NqGhZpMNEKV0BNa27BQk4lG qBJ6QmsbFmoy0QhVQk9obcNCTSYaoUroCa1tWKjJRCNUCT2htQ0LNZlohCqh J7S2YaEmE41QJfSE1jYs1GSiEaqEntDahoWaTDTiUZW4c+dOTk6Ohwr3RRy1 9h9//JGenn7r1i3PVYnoAzXZLVy+fPnYsWPHjx8v7Ip4EC0tnpKS0sous2fP VhJfvHhxypQpzZs3r1y5ctGiRQMCAkqXLv3qq69GRERAYZzuWv6BxvGVn58/ a9asOnXqPPTQQzBgkSJFKlWq1LNnz/Pnz+tQSeIJqMluYfLkyQEmLl26VNh1 8RRaWvzw4cMBdunbt6+SuH79+raSNWvWDGrjdO/yA7RYG43y4osvKkYrVqyY 8hkSHRsbq09ViXuhJrsFarKgaDK8339ZY9myZUpi0eR69eqNHDkyKipq8eLF Xbp0CQ4OlhK+/vprp3uXH6DF2p07d1Zmuri4uLt37yYlJY0dO/aRRx5B4GOP PXbt2jV9akvcCDXZLVCTBUWT1dpri0GDBq1bt+7+/fvqwLNnz4osP/PMM073 Lj+gQGv//vvv4hh37drVLGru3LnSCqtXr/ZkHYlH8FpNxhQ/18TevXvV4amp qQgMCwu7ceOGOnzVqlUIxxhXB2ZnZ0dGRg4ePLh169bdunWbMGHC/v37Le/1 ww8/IO++ffvkEs4GfLbw8PATJ05ICJR2xowZn3/++XvvvdejR4///Oc/a9eu zcnJkdglS5bAwZNRMHXq1LkP2LFjh2Oq5924XZNtASNLIWhipwvxdQq0dkJC glhp+PDhZlFKK0ycONGTdSQewWs1OSsrS5ZgWKCpw8ePHy/9LTY2Vh1erlw5 BHbv3l0JOX78eMOGDc02KgMDA0ePHp2bm6vOK89Hhg4dumHDhurVqyuJob2I nTdvHpaBlnuejz/+uHwFfLC6Kfrxxx+7roTeg26aLBNckSJFbt686XQhvk6B 1s7LyytRogQMVatWLTNDwQ+RVjh48KCHq0ncj9dqMmjVqhX61VNPPaUObNy4 sfS3/v37K4FHjx6VwPnz50sIPNsnnnhCAl977bUBAwZ8+OGHFSpUkBCsmtVl iiaXKVPGTFShyVu3boWM43OpUqXefvttlNO+fftq1apJAtwX2du0afP0009L yCuvvNLkAePGjXOLGHoJDmkylgkXL15EK9y9e9ehjnHv3j0xJtrd6d7lB2ix NlZ/Yu169eodO3ZMAqHPr7/+OgIrV65sti9EfAJv1mRomnQ5ZQ/hzJkzcJ8k 8C9/+YuSEq6sBJ4+fVpCvvjiCwkJDQ1VkqWmpornDBFWyvz1gSYDeOaQ6zVr 1iB2586diYmJUHIR5OTkZHXdVqxY0aBBA6UQ7icLlucu0F6YCjGBomm0dIzw 8HBl3nS6d/kBWqydlpamXgnCh1m0aFGLFi3wuUqVKklJSfpUlbgXb9bkPXv2 SGcLCwuTkKlTp+KyUqVKEq5s2Pbs2ROXzz33nFxev369ePHi4iGblRkXFyd5 +/btqwSKJr/66qtqoRaaNm0aYHqEjTLtVJWaLNg5C4eFdnx8vP3sp06dkgd8 +AvBcbp3+QEaxxfa5cknnzQzNVyLCxcu6FBJ4gm8WZNv3Lghu8SffPKJhDRv 3jzA9OTi5ZdfxocBAwZIeN26dXH5r3/9Sy4PHToknXPmzJmWxdapUwdRb731 lhKi7CdbJv7mm2+kKKwTt2zZYrYRrUBNFjIzMydMmLB+/fqEhAQk3r9/f0RE RJMmTcQ4aM309HRbeRGlbOa7sh3tH2ixNiwmtn3++eenTZv217/+VZHlWrVq YRToU1XiXrxZk0GHDh2ky+Hz+fPnZWs3OTl57NixskBDeEZGhrwF9uOPP0qu 5cuXS880O4YhvPvuu4iqWrWqEmJHk9Gx1UfxS5YsCc952LBh586dUyejJttH toBAZGSk1QRXrlxBK0uakJAQp/uV31CgtdEismCsX7/+1atXlVzdu3eX/T30 2927d+tSWeJOvFyTp0+fLuMUGjh79mx8aNSo0a+mMxUSjl4HryzAtG958eJF yTVnzhyJ3bVrl2WZHTt2lO0IJcSOJoPNmzfjpmbLQ4jz119/raShJtsH06jY Z+DAgZaxWGjXrFlTEowZM8bpTuVPFGjtKVOmiMUWLVpkFhUWFiZRLVu29GQd iUfwck1OSkqS3hUVFfXOO++IEyVRDRo0kDE+YsQIfHjppZeUXJs2bVJyWZbZ rFkzRNWtW1cJsa/JwokTJxYsWNCnT5969eopyrxkyRKJVTQ5LS1Ni775Iq60 +K1bt8Q+H3zwgVnUyZMnK1euLLMqpmCne5SfUaC1YUkxaWZmplnU3bt3S5Uq haiKFSt6so7EI3i5JoMqVaoEmLaURTl/+eUXCZfti2rVqsmROYizkkXxytSu rJCVlSVn5Nq3b68EatFkNYsXL5bye/XqJSGhoaESkpKSorEQn8OVFk9MTBT7 jB49Wh2+c+fOsmXLIjwoKMjWtoYxKdDa3bp1E5NafYFa1h0YO56qH/EY3q/J H330keKXvvrqq0q4sn0hrFmzRom6ceNG1apVA0wPla5cuaIubebMmZJ+4sSJ SqAdTZ4xY4bZ1jHIzc2VTeZPP/1UQuAwS7FbtmzR8qV8ES0tvnr1aqs/Fyn7 RWD9+vVKYEREhHIyfPv27U73Jb+kQGvLGaQA06ujZlEZGRly7ghm92QdiUfw fk1euHChIrzfffedOkq2L8TLMtNexZWFjCclJf1qes963rx5Dz/8cIDpAZ/6 bJsdTa5Ro0ZwcPCIESMOHDggL1NjLvjyyy+lcBQoyeLj4yWkSZMmJ06cwL0O HjwIJ9BB2fNqtLQ4bFW+fPkxY8bs3r0bS5I7d+4cOXKkTZs2YpzGjRsrP8IJ eyrNClWJscaePXuc7mC+ToHWPnv2bMmSJQNMhwzhEijh58+flwOcRYoU2bhx o+drStyM92tySkqKMnhPnjypjpLtC4BOaJmxffv2SsbHH39cPIcA0+lNtVP9 a0GarBSCEmShLbz55pvQXiWlcuJLwYDvViu/6iYoL/hIE6D5lJSYsAIKolat Wk53MF9Hi7WVd6gBOmrbtm0xEJR+PnLkSH2qStyL92vyrw9OFL/88stm4cr2 xfDhw61mnDx5svgSCijk8OHDZsnkdwOGDRtmWcLSpUtbtmwpZ+0USpcujcRY IapTwj2W49MKys6Gf6ClxUNCQtS/6CsUK1YM0xMWJuqUcKQL1GS0u9MdzNfR OL6wQLM8FFSzZs0NGzboUEniCXxCk10hNzcXIgyPAr0UyzrnCsEy/OjRoz+Z wGLczjt9586d27Zt244dO5S3vP0G7S1+7do12HzdunUrV67EVHXnzh2n+4lh cWh8paWlocuFh4dv2rQJ60r+lxafxu81mbgLF1ucOAStbVioyUQjVAk9obUN CzWZaIQqoSe0tmGhJhONUCX0hNY2LNRkohGqhJ7Q2oaFmkw0QpXQE1rbsFCT iUaoEnpCaxsWajLRCFVCT2htw0JNJhqhSugJrW1YqMlEI1QJPaG1DQs1mWiE KqEntLZhoSYTjVAl9ITWNiyFq8mEEEIsoSYTQoj3UFiaXNjLceIALrY4cQha 27BQk4lGqBJ6QmsbFmoy0QhVQk9obcNCTSYaoUroCa1tWKjJRCNUCT2htQ0L NZlohCqhJ7S2YaEmE41QJfSE1jYs1GSiEaqEntDahoWaTDRCldATWtuwUJOJ RqgSekJrGxZqMtEIVUJPaG3DQk0mGqFK6AmtbVioyUQjVAk9obUNCzWZaIQq oSe0tmGhJhONUCX0hNY2LF6uyaNGjRoyZMi6des8pDOeLt+f8CqVuHHjRlZW VmHXwoN41Np37tzJycnRnv7mzZv5+fkeqgwxw8s1uWTJkgEBAQMHDlRCRowY 8ayJxMREJfDUqVPHjh27ePGiZQmXL19G1PHjxzWWT2zhaIvfv3+/VatWDRs2 PHjwoGVsfHx8q4L48MMP1aXFxsb26dOnQYMGZcuWDTDx6KOPvvnmmytXrvzj jz+c7oreiXutDTA6pkyZ0rx588qVKxctWhTWK1269KuvvhoREWHLeufOnevW rVuNGjWKFCkSFBRUp06dzz//3CExJ07gc5rcs2dPGY/79+9XAh977DGE9O3b 17KEyZMnS/pLly5pKZ/YwtEWX7FihVh+8+bNdmLt8Je//EVJj4nVTsp///vf TndF78S91gb169e3Zb1mzZpZusELFy7ElGeZuEKFCvv27XP+i5GC8DlNnjp1 aksTv/zyixJITdYBjS2+fPnyCRMmtG3bNjAw0I5KHDly5F+2qVixolVNRpkd OnSYNGnShg0bNm7cOHTo0EceeUTuEh0d7XRv9ELca+0/H2hyvXr1Ro4cGRUV tXjx4i5dugQHB0uur7/+Wp0YznaxYsUQXqZMmenTpx86dCguLq5Xr15wmBFY q1YtbmV4Dp/TZKtQk3VAY4s//fTTZp6VLZWwRWZmprQLpEYJPH/+/GeffXbm zBmzxD/99JPcpU+fPg7dxctxu7UHDRq0bt26+/fvqwPPnj0rsvzMM8+ow196 6SUEBgUFwfNRh48ePVruMn78eMe/E9GEz2kypuy5c+eGhYXl5ubi8ujRo7gs UaIEkr355ptzVVy7dm3JkiVwBqQXwcFWonbs2GGrfIWYmJhvv/0W2du0aYP+ vHTpUjdpm6+iscVDQ0OHm3j//fed02SoK3IVLVo0KSmpwMR37tyRu7Rr186h u3g5uln7vffek4w3btyQkJycHPGHe/ToYZb49u3b1apVQ9RTTz3l0F2IdnxO k7/77jvpQlevXv3VtJVhueUloPzHH3/catTHH39sq3xw8eLFrl27WuZq3rx5 cnKyW3XOl3C0xXft2uWESuAWsmru1q2blvT79++Xu4waNUr7XbwffawNxGmB CN+8eVNCtm/fLkVNmzbNMv0///lPib1w4YJDNyIa8XVNjoqKatKkiUzr5cuX b6ICq124uMri7pVXXlGixo0bZ6v87Ozs2rVrS5Z3330Xi7UxY8a0atVKQt56 6y13S53PoI9KdOzYMcC0ak5NTbWf8vr169HR0eK2oelxqf0u3o8+1r53754M ELXfi1WkFDV58mTLLGPHjpXYvXv3ar8R0Y6va7Lgxv3k8ePHi9sQGRmpTqns pK1Zs0aLgvkfOqgEhrlk6devn51kkyZNevHFF2UiBpgxjx8/rr1iPoE+mhwe Hi65Bg0apATm5ORIYOfOnS2zLFiwQGI3bdqk/UZEO9Rkdfm5ubmlSpVCSO/e vc1Swn+GM4aoL7/8UouC+R86qETTpk0DTKeOr1y5YieZsncaYDqbMXPmTP87 BqCDtU+dOiUP+PA3LS1NHVWjRg0pDQqsDv/tt9/69+8vUdu3b9dePaIdarK6 fOUQ7ODBg1dZ8OyzzyKqQ4cODsuZX+BplcACRNKPGDHCfsrVq1d/8803n376 ad26dSULPmA+1V4378fT1k5PT69evbpkWbZsmVlsbGys7OqDxo0bDxgwAGOk Xbt2ytk5kJyc7MD3IZqhJqvLh/AGFESTJk0cljO/wKMqcffu3Zo1ayJxuXLl lAMAWpgzZ47cxfKQgE/jUWtjGfL8889L+pCQEKtpIiIiZHSoCQwMDAoKCjBt 7t26dUt79Yh2qMnq8mfPni2JGzVq1MYGQ4YMcVjO/AKPqsTcuXMl8ZQpUxzt Sw0aNEDGSpUqOZrRm/GctS9cuCDTHxgzZoydlFlZWWiO3r17t2/fvlevXhMm TEhJSZGHsBUrVtReN+IQ/qTJffr0sSxB0eS0tLQCy4+JiZHEUVFRDmuWv+M5 lcjLy1Ne3Lt9+7ajfUnZXvan7QsPWfvkyZOVK1cWR3f69OmO1io/P79ChQrI DufE0bxEI/6kyT179rQsITQ0VNJjii+w/NTUVEk8YMAAhzXL3/GcJsNbk5Q/ /PCDE31JngyiKf3pl4g8Ye2dO3fKzzcFBQVFRkY6UauQkBC5y88//+xEdqIF /9DkWrVqIeSNN96wLGHJkiWSfsuWLVrKlwd56LT79u2zTJ+QkLB169YCq+2X eEiTr1y5Iq2ARrx3756tZBs2bDh79qxleFxcnPzK2euvv669bt6P260dERHx 0EMPBZh+wsK5IxO4xcMPP4wSWrRo4UR2ohH/0OTWrVsHmN7GDQsLwxi/ePHi 8uXLr127hqj4+HhJ36RJkxMnTmRnZx88eBAOg63yle0LdN1JkyaJd33mzJkV K1Z89NFHuMVXX33lLpXzLTS2eF5eXq6J9evXiyWjo6MlBFGW6f/9739LstWr V9sptkOHDoGBgV27dl2zZs3p06eh3pcuXcIiSPndzlWrVjndG70Q91r7wIED AQ+YOnVqjDX27NmjLnnHjh3wQG7fvp2Tk4NB1K9fPzkQHhwcjNLc/4XJA/xD k5UOqUYpH2psFmX/3ephw4Yp7yOA4sWLq/NSk+1TpUoVy7YQ4AlbdgM5c9Wo USP7xUKT1UWpGwh89tlnTndF78S91oYTYiuZrdZR3qFWU6dOHR6B8zRersny BsegQYOUEGVHS9xgBcz+6sOTGOlY6koU3OPmzZuru9ann35qq3wBK2IouXJE U6hUqRK8hSNHjrggbD6MxhavWrWqrVFfu3Zts8Tdu3eXKHhl9ovFcrtz587K L3MqVK9efe3atU73Q6/FvdbevXu3rWRqvVWXrNbkoKCgF154Aa6L1ZUOcS9e rskOkZWVdejQIazCsLa6fv26Wey5c+e2bduGsY+Vr8YCs7OzDx8+jEUxcqWm prq3tj6Hiy3uFu7evXv+/HkoTFRUFHy/9PT0wq2P5yh0a2MdumXLlujoaIwp Jw7DEKfxJ00mHqXQVcJQ0NqGhZpMNEKV0BNa27BQk4lGqBJ6QmsbFmoy0QhV Qk9obcNCTSYaoUroCa1tWKjJRCNUCT2htQ0LNZlohCqhJ7S2YaEmE41QJfSE 1jYs1GSiEaqEntDahoWaTDRCldATWtuwUJOJRqgSekJrGxZqMtEIVUJPaG3D UriaTAghxBJqMiGEeA+FpcmFvRwnDuBiixOHoLUNCzWZaIQqoSe0tmGhJhON UCX0hNY2LNRkohGqhJ7Q2oaFmkw0QpXQE1rbsFCTiUaoEnpCaxsWajLRCFVC T2htw0JNJhqhSugJrW1YqMlEI1QJPaG1DQs1mWiEKqEntLZhoSYTjVAl9ITW NizUZKIRqoSe0NqGhZpMNEKV0BNa27BQk4lGqBJ6QmsbFmoy0QhVQk9obcNi QE3OysoaOnTokCFDdu7cWSgV8FGoEnriUWvfu3fv+vXr9+/f91D5xBX8Q5Mv XLjwrIk+ffoUmPjSpUsBJiZPnuyuChgBLS2ekpLSyi6zZ8+2kz0jI+Pvf/87 kk2cONHpruUfODq+ILCwW8OGDQ8ePGg1AVyRBQsWtG7dulq1asWKFUP/DwoK qlq1KpwTDB831Zq4Af/QZEiByGy7du0KTExNdg4tLX748OEAu/Tt29dW3ry8 vJdfflmSffDBB053Lf/A0fG1YsUKMd3mzZutJujYsaOtRilXrtzJkyfdVHHi Kv6hyZDZlib+85//aElMTXYChzS5efPm/7LGsmXLrGb8448/2rdvr6gENVnj +Fq+fPmECRPatm0bGBioRZPhGA8ePDg8PDw2NhZ/mzRpIrnq1Knj7m9AnMQ/ NNkhqMnO4ZAm29JeW3zxxRfIJWtqavKfmsfX008/beb02tLkkJCQxYsX3717 Vx2Yn5/fqFEjyZiZmemeqhPX8FpNTkpKmmvil19+sYzNycmZN28eYpXndBER Ebjcs2ePWcobN25AHzDk33777c6dOw8fPvznn3+2o8kxMTHffvttly5d2rRp M2jQoKVLl9qqIfQHJXz44YfvvvsuyofXcf369YKlzWfxnCbPmjVLcqFNRWSo yRrHV2ho6HAT77//vn1NtgXySsYjR444W1niTrxWk+Pj46Wr9OrVyzJW2T2b OXOmhJQsWRKXAwcOVCdLTU1t2bKlrW00M02+ePFi165dLZNhGZ6cnGxWgUmT Jj300ENmKevXr3/o0CFn9M4X8JAmb9y4UdbdQ4YM+fOB40dNdnR87dq1yzlN fuedd5CrePHit27dcrCOxCN4rSaDV155Bb2ldOnSWFWZRf39739HVKlSpa5c uSIhlpqcnZ1ds2ZN6agVK1ZEFvgSDRs2LFKkiKUmI3Ht2rUlHH7v6NGjx4wZ 06pVKwl566231HdHlIQ/9thjUA/cFLotIahSSkqKS9rnrTikyVizYI67dOmS 2WLZjMTExODgYKTv1KmTHM2iJgue1uQ//vgDjfX5559LrrFjxzpbU+JmvFmT 4QNLhwkLC1OHQ/Rk47F3795KoKUmw5WV7P/4xz+uXr2qhGONZqnJ48ePRwjk OjIyUn0viLMkXrNmjXJ3kZG6deuq/WesuyVljx49HFA638EhTVaASStUqNC/ f//Tp0+bJU5PT69cuTLSYKK8efOmBFKTBc9pckZGBhaPcCckfYkSJSDIPKvs PXizJsMHhtuJbtO0aVN1+Lhx46Q77d+/Xwm01OQnnngCIVWqVIEPrM5u+Ywv NzdXbqQWeQF5y5cvj6gvv/xSQpT9tw0bNpglbt26NcKLFi16/vz5gjXO13BO kxUw9uPj45WUeXl5DRo0kAZCQyvh1GTBc5qMYtXt0rVr16SkJNcqS9yJN2sy gEhKzzl69KgS+NxzzyGkUaNG6pRmmqycWIYPYFampSYfO3ZMQgYPHrzKgmef fRZRHTp0kMRypuipp56yrO3SpUulnNjYWM1S5zNoafHMzMwJEyasX78+ISEB iTFpRkREKAeuypUrB9/4T9PCuW3btgGmjakTJ06oS6AmC57TZLgZo0aNGjRo UKdOnR555BFkCQwMnDt3rmv1JW7DyzV537590tO++OILCdm2bZuEzJs3T53S TJM3bdokyZYtW2ZWpqUmQ3hteXcKEBZJ/OKLL+KycePGlrWNi4uzWjf/wJUW //DDD8UykZGRuFQe4EZHR+f8fypVqoRwTHxyCfV2uo/5NPo847t+/XqdOnWQ 66GHHrLcXCKFgpdrMmjYsCH6TIUKFWQLQkZ32bJl1VvEv1po8vz586WLQsPN CrTU5NmzZ0sIfO82NhgyZIgkFkfub3/7m2VVDx06JOWEhoY6ona+gSstnpyc LJZBA+FSOY5YIOrtDkOhjyaDdevWScawsDAH60g8gvdr8pw5c6TPREVFXb58 +dFHHw0wvaJrlsxMk7F8llxa/OSYmBjlFgXW5/XXXw8wHXuzjMJwkHJ+/PFH LV/Nt3ClxW/duiWWkU0J7ZqMlE73MZ9GN01WtpdluiSFjvdrcmZmZunSpQNM R9SUlwssjwGbaXJiYqKkHDVqlFlKS01OTU2VkAEDBhRYn48++ggpMTVkZGSY RU2cOFHKOXDggJav5lu40uJKc4wePfpP0++SXbHBk08+iWTvvfeeXCKl033M p9FNk5XNwEmTJjlYR+IRvF+TwWeffRZgOs9QtWpVfICnapnGTJOzsrLKlCmD kGrVqpm9XrdmzRozTQbyIC8oKGjfvn2WhSckJGzdulU+z507V7KbPT3Mzs6u UqUKwsuXL3/t2jWNX82H0NLiq1evtvrqgfIDOFi/2C+Bz/gE92oyhgAWjJZn xe/fv//2229LxtjYWJdqTNyET2gy3E71ejY8PNwyjeVZuK+++krSN2vWbPv2 7bjdypUr1W/qqTVZ2b6AksNhkPc+zpw5s2LFCjjGmA5QmqTMzc2VxyLFihWb OnWqCH5ycvIbb7whJcyYMcNp3fNmtLR4cHAwpqQxY8bs3r0b0+KdO3eOHDnS pk0bsUzjxo0LfGZHTRY0jq+8vLxcE8pmXXR0tIQgSkmWlJQUYDp2GBoaumfP npycnJs3b8bHxytvRTVo0CA/P9+TX4hoxSc0GSi/lPL4449b/VkJS00+f/68 vJJghtX3+MCwYcOUqADT26bqXIomA/jMcp5ZXGs5wCy89dZbGA6OC54PoFGT rZpaGk7LD0JSkwWN40uWZlapVauWkkw02RZly5Y9deqUJ78NcQBf0WTlLTmz X7RQEJEcNGiQOvDs2bOKmAstWrSAnyCfp0yZYlZIXFxckyZNlF8nEypVqtSv Xz/4e+qUJ06ceO2119TJHn744dGjR/urIP+qTZNDQkLkrKAa2PPjjz/GTKql Y8j2VPfu3Z3uWv6BxvEl5rJK7dq1lWRovrFjx1o2DRaAvXv3vnbtmie/CnEM X9FkVzh9+nRUVNS6devS0tK0pM/Ozj58+PCqVat27NiRmppqJyUKjImJWbx4 cUJCAtaDbqqvl6K9xTHGYUAYfOXKlZi87ty543Q/MSwuji9bwGdITExE06B7 Hzt2jL875IUYQZOJW/CQShCr0NqGxUyTHcXF+xa2zBAHoEroCa1tWKjJRCNU CT2htQ0LNZlohCqhJ7S2YSmspqcm+xxUCT2htQ0LNZlohCqhJ7S2YaEmE41Q JfSE1jYs1GSiEaqEntDahoWaTDRCldATWtuwUJOJRqgSekJrGxal6e/fv/+H g7jyv26pyT4HVUJPaG3DojR9dnb2/zoIsrh438KWGeIAVAk9obUNi9L0+fn5 p0+fxufLly9n2gUJkAyJXfnBVUf1nxBCjIPo5JUrV/A5KyvLvpwiAZIhsdOC TE0mhBA7iE6Kq3zmzBk7/wwCUUjgopOsaHI+IYQQFWpNBpmZmf9r11UWJxnJ XBFkajIhhFjFTJPz7brKipNs+c8WqcmEEOI6Zpr85wNX2ep/6kGgW5xkajIh hFjFUpPhA1t1ld3oJFOTCSHEKpaa/KcNV9mNTjI1mRBCrGJVky1d5Xv37rnR SaYmE0KIVaxq8p8WrrJ7nWRqMiGEWMWWJqtdZbc7ydo1+ejRoxEREVu2bLGV 4Pfff1+9enV2drY7jZKfv3fv3q1bt7q3TEKIlxATExMXF+feMhMSEg4fPmwr 9saNG5GRkYsWLcrNzbVfji1N/lPlKrvdSdauyWvWrPnmm29mz55tNRZSHBUV 9d1336WkpBRYlEZu3bq1bt26Tz75xNZNCSG+zrRp03r06LFx40aMd3eVCedw 0qRJ8fHxt2/ftoy9cOHCxIkTIVZnz561X44dTRZXWRK410l2VJPnzZtnGZWe nj5//vwRI0aEhIS4S5Mxly1YsOD9999v27at1ZsSQvyAoUOHYox/8MEH4eHh v/32m1vKXLt2LeQIqrt+/fq8vDyzWNHk8ePHu6LJfz5wld3uJLuuycnJyTNm zEAULPDTTz/9+uuvDlnPKviOMFqHDh3atWs3cuTIS5cuuV4mIcQLwRJ71KhR kOWOHTtOnjz56tWrrpd58+bNhQsXQpZHjx69dOnSrKwsday7NFlcZbc7ya5o 8p07d/bt2xcaGopwrBTi4uIQ4pwN1cBQw4YNkzaaMmWKmT0JIX7GtWvXoMbw wTDqISapqamul5mTkxMVFQVNhjKHhYWlpaUpUe7S5D9NrjImEfcKstOa/Pvv v2/atAnfC4FTp049cuSIKwZUOHDgQL9+/dA0//M//7NgwQJ3rWX8ACwWYmNj PbpkwCrvxo0bbplY7YDy0XmcuAtGGUZTRkYGvCCrCTA6EOt6/S9evLhjx44N Gzbs3r27wMRYGFrdtFS4deuW5fLZDJjdsSr6HbAAtKVr164Y+/379z906JDr ZcLsWLmPGzcOGjV9+vSTJ09KuBs12UM4oclYbixbtmzMmDEImTFjxpkzZ1w3 ILru+vXre/TogUb56KOPVq5c6cY9fz/g6NGj3377rVv6qi2w3MMtLl++7Llb 5JsO0uAu586d057l8OHDmPe/fUBISMjOnTvVCdCBsV5TYrF8c7p6v/zyi3Ij jFyraXC7Xr161atXr1SpUgEBASVKlGjQoMH8+fPV0wGEeuzYsS+++GLx4sUD AwPr1q2LwWLWpbdu3frGG2+UK1cOhTz11FOdOnVyyCx+BqZaqEr37t2hAD17 9oTLZ3+y0wIMvn37dnQJGB+uuDz18z9NhisCD3aECSwK0tPTXbRbvmmW/OGH H+SJHno7vBRPe2s+hw6avHr16lmzZmEh6aHyjx07tnnz5u+++w5fxKH1KSZr ZFm0aNGWLVsiIiJEMFGaxGISGWcCyZBg0qRJiD1+/LhzlQwPD5fCIRHXr1+3 miYyMjLAGpgXlDTt27e3TPD222+rb1S0aFGzBOXLl8ek4FzN/QCMesxTEGR5 6ocWd32ljDKx+pYtVnnqByn2J03GEkCe6I0aNWrx4sW2Oq1DZGZmYhx17NhR li3u2gbxM8w02c6c5YnpzE6Z2p0ZjALFBXVIk/Hd1eljY2NRAlZS6kvFc8YS FZc//vhjgcVa/VJwyOfMmWM/o2jyY4891q5du6ZNmyqKCo9XEiQkJCiB8DQ+ /vhj5VLZD3nuueck5IUXXhg6dGjZsmXlEkOgwJr7N7Be3759lSdKbnESMNN9 //33EK7Ro0fD/ZswYYLfaDImmpEjR8pCwC1b8WDPnj3/+Mc/0ARdu3aFq+b6 gsWnwTS3du1a9B+YGjNgdHS0PJ4QTYbyoCHQUeEWLly4UL3PcPXq1aioKLQL MmI5o7iR6I1IqVxi4YbLxMRE9aUcsMcqD59///33fFNvxGdMAbZuh2ZCZVBD 1AoJsOpEAvsnIdFhMApWrFjhqCabgQU+SoCfKZdz587FZU5OjpJAKmxn7wu6 jSUeDAVnYOnSpfAKJBxKPnbsWDhRC00kJydbzR4XF4dBrWwCI70iubLhD12V y2bNmkmad955R0KwDJQS5BKuMpoAIfPnz5cQSL3BhwAaDp2kS5cu0ATMaG5Z G8Kk8MDRT6Bd6Btoer/RZLgQ8jQTn6dNm+aWdRZE4Keffvrkk0/QBN26dcMY EVkwIOiNM2fORM+BJ7Zhwwas3fBZPCvRZAA1wApFhGj58uWSMTs7G8qAEHRm rM4gSviMJRuiIOlqr3Ljxo1qQdu1axcuT506hc8oDZ/lNKP92wGRVnRvqDG6 REhIiMYdgy1btrioyZjEUQKmb7nENATnVp0AXQgJbJ3YwQSEWORat24dpjyI ML6jOGO4lB3pH01o/M2BmJgYkdPg4GB5/vi3v/1NQjD2JQ0Gi4TAr8YlZgS5 bNCggSRAMynCrj4kYDTy8vLQ32Qb85///CdGgetqgBJQDtpCnMlNmzb5k58M BwxfEONaTlyEhoZi4Ltlsbx//35ZsGB+nDVrVoGvPfolop8RERFKCFzTixcv 5j8QSaiiaCZsjnEN9RARgLwoIpz/QKLhBKKHIyX64X//+1/JpTwsE8mC+ENX 5WCApSbbuh06M2Jnz56teKdoPn00GfUR51yeLMP/kZqo02ACQqDYzQzMepiw 8EWUbbcjR44g8apVq+QSoxXf1KEqde7cWbS0Xbt2ElKvXj0JWbBggYRg2pKQ Z555BpfwauTy3XfflQSwcJEiRSRQaUejge6Exu3UqRN0oF+/fgkJCa6XCSVB N5YDCXL6wv+e8eWb+s/evXtl2xzdOzY21i1nJGCir776Cs3x3nvvYWgoK0rj 8Ntvv2E2h0m3bdsG1VKfobJ8xicerygPRAm51GteUWlZF4v7d/XqVZSJD5s3 b8ZfeJtoR3ROxWe21GRbt4Prjs/bt29XYl3UZGjXLGuYTc3wB+QZHCqjhOAS brw6GVxoBJ4/f97y7hkZGWoFzjd1ZsxZ33//vVw6qsmjRo0SIS1btqyybITw SiBcPgnBskJCKlWqlG96ec1MxkFgYKAEuv33H3yCK1euoPNj7EMBvv76a7ds jaLPw8MZOXKk+pSyX2qygAUv5h3Zn/npp58KPISpBegwBoVyelwkxVAcPHhQ diFkZ2D9+vWiS5YiKftjYiIIMlbH6nKg6og9ceIEPiMXPmPNLqs26BgSQwbT 09PVT8fsa7L6dmhufJb/zyu4qMn4mqusoX4tFJ9FkCG56qUZvvuMGTPUpckX sTqnJycny6ykDkR2mFo+a9dk1GHw4MGiokFBQfBMlKjXXntNwmfOnCkhP/zw g4S89NJL+aYniXLZvHlz5dspexe29rH9GEyg0GF5rof1nVv8MSgwJmt5rqd+ m8+PNTlf9UsX+NZYnbnl6DsKQZny1O+LL75QTnobBwxPzHcY47JIl5/Fsy+S klL9nCsyMhIh8tAN63R8Rgv+97//lY1lEUYpQfEntWuyHHXAWkmJ9fTeBb7C nDlzkDEmJsZsrwzfHeNLvVKT3W+rTgL8fPV2er7J2mPHjp0yZYpcatRkOGDo nyKhTzzxhNl56S5duqif6IHPP/9cQtq0aYPLZcuWmT3RU576Abf8QIEPgW4z YMAAeaK3cOFCt3x9zGviMVr+6oV/a3K+aevyxx9/lHcYFy1a5JZHxhhfa9eu lad+n332mVuOQPsEMKb6y2LgQ0DgYuUXJJIY4+IJS9TNmzfR5eD7KbOkPDoE MseJNH1rei1CaTLtmoxBJBWTR2Pw5NEHPKfJmDWgmVBO9SygILs0yq2xBMYl pnWrRWFsYpDCMsrB12PHjiH9kiVL5FKLJqMaVapUUSQUnX/+A8RbhjUk6tFH H924cSNMV6ZMGQmRimGKCQ4OlpDhw4cnJia++eabcvnOO+9ot4wfAG/2008/ xUjv0aMHxNMtu6BYbMLZlid6P//8s5ko+b0m55v29OSpH7p6gV9TO/v27evT pw8aC4Z1V5leDhpCnqzhu6NfQShwiU6VX5BIysNB9DS4W1BmqKW4lEpi2Q1G AqXPi2sNMVfSaNdkeKroCbiETs6aNUteAylQkw8cOLBnzx556QP1wWeNb4BK VfF3w/8H8pv/YH7BGNy1axfKnDFjhnp6skScfAgvvh3Syzsmygt0WjQZi7gA G2DpnW9yKmrXrm0ZW7VqVcVhgxRbJggMDFTv0huBadOmyRM9dHh3lbl69Wq4 iN9//73s3ZnhN5q8atUqfE1bx+kxSNG9MWrcqMkAY3bw4MEFnuH3GyAy8oKz gC++bds2WaonJSWZiaRoi3K64NSpU3IETqQSgqx2OeSVYUysZtn379+vhMjx NnEgC7wdkkFXocxQMMijeL/qHWZL5LycGri4WswimmyJIukYeiKtABOE/Wdk MAvmF5hI0mPGV08lKEc5LGELLLFtaXKnTp0kDVYQ0OegoCAJL1asWOvWrTMy MtTlhIaGKv4zqF69utEEOd+0tf7VV1+562UHYeXKlRg7to4UQpMx87r4+8ne oMlEN7DuwOB14gfxoN6ZmZmQTf0PeCtHO3S+rwK+O2a0S5cuadw9u3nzJgyF LB59ix93SUxMPHLkiJ0WgYu+d+9ez73STpyGmkx8CDjJcI+x3jx69Kgcw1Af qybED6AmEx9CHuopLFy4sBCdZEI8ATWZ+BC3b99OT0//X9M/I8O6m7/jR/wP ajIhhHgP1GRCCPEeqMmEEOI9UJMJIcR7oCYTQoj3QE0mhBDvgZpMCCHeAzWZ EEK8B2oyIYR4D9RkQgjxHqjJhBDiPVCTCSHEe6AmE0KI90BNJoQQ74GaTAgh 3kPhajIhhBBLqMmEEOI96K/JhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIZb8H0zQPU8= "], {{0, 1112}, {476, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{238., Automatic}, ImageSizeRaw->{476, 1112}, PlotRange->{{0, 476}, {0, 1112}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.778765697999764*^9, 3.77962299945436*^9, 3.780051244640357*^9, 3.780052568967635*^9, 3.780054187018651*^9}, CellLabel->"Out[9]=", CellID->899022369] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["Properties and Relations", "Subsection", TaggingRules->{}, CellID->232113220], Cell[CellGroupData[{ Cell["Tally and GroupBy", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.780052364207255*^9, 3.780052369932395*^9}}, CellID->189038979], Cell[TextData[{ "The functionality of ", Cell[BoxData["CrossTabulate"], "InlineFormula", FontFamily->"Source Sans Pro"], " can be emulated with ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Tally", "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/Tally", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " or ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["GroupBy", "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/GroupBy", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], "." }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779624045735098*^9, 3.7796241046066847`*^9}, { 3.7796242006616592`*^9, 3.779624201864684*^9}, {3.779624252122623*^9, 3.779624259702614*^9}, {3.77962455679738*^9, 3.779624557542424*^9}, { 3.7803338909507513`*^9, 3.7803339168947144`*^9}}, CellID->227903630], Cell["Here is a contingency matrix of a two column array:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7796243651833887`*^9, 3.779624385253989*^9}, { 3.779625596608374*^9, 3.77962559682242*^9}}, CellID->961687281], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "30"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"SeedRandom", "[", "32", "]"}], ";", "\[IndentingNewLine]", RowBox[{"sarr", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"CharacterRange", "[", RowBox[{"\"\\"", ",", "\"\\""}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"RandomWord", "[", RowBox[{"\"\\"", ",", "5"}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomReal", "[", RowBox[{"100", ",", "n"}], "]"}]}], "}"}], "]"}]}]}]}], "\[IndentingNewLine]", "]"}], ";"}], "\n", RowBox[{"CrossTabulate", "[", RowBox[{"sarr", "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"1", ";;", "2"}]}], "\[RightDoubleBracket]"}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.778697587292699*^9, 3.778697695731748*^9}, { 3.778697733028006*^9, 3.7786977551996*^9}, {3.7803364640134077`*^9, 3.7803364660126076`*^9}}, CellID->133311050], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXlwFVX+9sMWtgJeQJiZmhkgM/IHUFMCVsGopTWDBhCKYYzlwkzpKAMB BCETFsWRCCQsQqKyihkYCChLwo4LSqKAiURCQhIhIAqySBAIl+SKUsOSfr+/ e8pTbfddTt/bfXLu7efzhyXdzb3f/pzT5zm93CZh5KSk5MZxcXGTW9B/kp59 4c+pqc9Of/T/0R8emzh53JiJo0c9PHHK6DGjU/84sgkt/GWjuLhRtP3//b8G AAAAgKB8CQAAAAAAAAAARIxXJRQsKQaAVfnAuRcShIEoZUFWugpYlQ+ceyFB GIhSFmSlq4BV+cC5FxKEgShlQVa6CliVD5x7IUEYiFIWZKWrgFX5wLkXEoSB KGVBVroKWJUPnHshQRiIUhZkpauAVfnAuRcShIEoZUFWugpYlQ+ceyFBGIhS FmSlq4BV+cC5FxKEgShlQVa6CliVD5x7IUEYiFIWZKWrgFX5wLkXEoSBKGVB VroKWJUPnHshQRiIUhZkpauAVfnAuRcShIEoZUFWugpYlQ+ceyFBGIhSFmSl q4BV+cC5FxKEgShlQVa6CliVD5x7IUEYiFIWZKWrgFX5wLkXEoSBKGVBVroK WJUPnHshQRiIUhZkpauAVfmEdF5bW/uf//znrbfe2r9/v7SqJCPS8ZiEvXv3 yilJTdQ8Qg8cOEBNk52dffny5YauxYi52zhUrUuysrKysqys7JtvvrHrA4Nz +vTp53wsWrRIzjcKomBDxzwhnV+5ciXZR05OjrSqJCMyYWAS/vvf/0qrSkFE jlDJoxmRm5vLWufbb79lSyIf4mzZC7/dxlytLbgkK8eMGUPqaAZi1wcG5+TJ k6yxFixYIOcbBVGwoWMeZKUXWSmMyBEqeTTz+kufyIc4W/YCWemN8qw8f/58 lg9qNTnfKIiCDR3zICu9yEphoiUrIx/ikJV2EdVZqSwKNnTMg6z0IiuFiZas jBxkpV2IlFReXr5169a33norMzNz9uzZr7766ptvvrljx47vvvuOb3PkyJEt W7YwdWlpaVt0XLx4kTa4cOHCnj17aJhasmTJ3Llz2eeQ+cOHD+u/q6qqiv0t +h9zJZcuXWJri4uL2ZLt27fTHw8dOmTY8uTJkxs3bqTvSk9Pp7JXrVq1e/fu 6upq/U7RX9y2bdvVq1e/+OKL9evXz5s3j6p6++23eUk0qaPdXLp06YwZM+hD qG/U1NTYZZVx6tSpnTt3Zmdnz5kz5/XXX6dvP3DgAJVkLpL++PXXXxcUFFBb fPDBB9R7BZV6fV2dPoQ+qrS0lCKD/vry5ctppxYvXvzee++xBiLI6tq1a6mS WbNmUXOXlZUZPkdfD/0/SaNvnDlzJh2JRUVFfnewpKSEdmrBggXUK5YtW0Z/ l6wGKc/j8dBOkZBXXnmFWmTNmjWnT58WMWkpK4N/y7Fjx4J0QtKl74ROuD1+ /PimTZsWLlxI0qhx8/PzRQyISAiSlfS99EW0nIqkNqW9oM5v6PDiXU6/X+vW raPPJNXUw2kH9+/fT3tKH863uXz5MlNKw4jhr584cYKtMncb2tO8vLxFixaR bepgVFVFRUWQfTf83SCiQo5mIkOiHtrBXbt20Ujy8ssvk9sVK1YcPHiQfSAN Pnwzv+ljHuIEWyHkXjBE2t1qVkbeNFGaleQ52R/jx4+nkZBtQ4eA320I6u20 QWFhYaANqL/xdKDmZgv93sv+6KOP2FrqeN7ABz6lJJtNGRg7dizf2Q0bNrCF 1MkNG9MfaWTbt29fSkqK4ROo6UUe+hKxSsW/++67zz33nLnOyZMn06irL5IG bRo59dvQBoJKvbqYoKacPn26YeP58+dTUtDYblhOHuiQ1NfM66FBz/yl77zz Tl1dnf5LV69ebd4sNTWVdxtDeTSc/vvf/zZs//zzz+vHk7Cdi38LHddsYVZW lvlzKAHZWvofJ9xSgpt7L00zQhoQkRDokKG5Jc0qzY1Fe6SfMIh3OYImJDRN CrQ97SPfkhSxhTSMGAqmYZyt0vcB2guaYY4bN878sfSNkYsKOZqJDIkcqtzc MTiUXHxLc/r4bS/BVgi5F17hdhfPSruaJqqzcurUqW+88QaNfnQSwZt+0qRJ bL5Hc0Wan/OF83ScO3fO+1P7UlrR7IWmVTSTf+2113hSULrxr2PjGG1pnq6w ZqWGoJmVN0AL7t27ly2cMGEC9RxqIJp9vfDCC2zh0aNH2WZ8aOI109zsxRdf NLQvHdE018rIyOCtTz3BFqt8ykdfQSPqypUrqQAasdlClsiGIvXwrBRRysdz DuUF/S1zUtP0gMqgtmZ//Ne//qWfYRrqoY2pcr20Tz/9lG9MjcIWTpw4kcqj JKWN+S7r/ZjLoz5AG9NfZH+kUiN3bulbyA9baHiAkCYDrH9S77p06ZJzbqkn UG36Mdk8CIchwe8hQ2cZVAxbTofMNh90OsCW0PyQD7/iXU6/R7Q9fRp9Ix2J dKDxPsC3tJqVPAVIKZ200syZ/svbkWa5EYoKOZqJDIkM+n9eGI1CdNZGG+vj KeysDNkKIfdCvN3Fs9KuponSrCwqKjp27JhhIR8J9RffglwbP3PmDA2kbHjh 0PSGaaThhS8kveyTt2/fbiiVLafuwZb4bUF2ykPRph/laIijDkbfwidU/ECm kzgqjJ0Q0QfS4cy7MeUXC2Wv7oTXlnGbamN9m/qw/uoK+aFMoaPAnJV0fH34 4YfHjx+nqSANm1SwuFL9eE7n0bxv08yBvostnzZtGp1NMw90jNCxw5bry+P1 vPTSS/wyuFd3gFCRvAzWGWhLfUN88MEH/Nj0W97SpUv55VA6ovkkhx3dkTi3 9C38CgY1h/5DyAZbTgOUQ27pvPvjjz+mrmhwu2rVquAGRCT4PWRycnLYwoKC Av3GvCR+EVi8y3311Vds92l39Nff6GST8iU5gqw8e/Ysnb7RktmzZ/PDky1n F4IowoJK+j8ivF8pPiTSYMUHE9p3vpx2hy0PIyvFWyH4Xoi3u2BW2tg0UZqV gf4iE7V582a+MIz7yCyb6LDig8N3333HcoSGWf2WND9h38gPPb8tyM4I6AP1 jWWG9wdqR/3y0tJSttx8xYB98pQpU0LuVEira9euZd9C2WFeyyvnRdLJLPcT ErNSPp7TAWvYeO7cuWyV4doyHe9suf5SIa9Hf+eXQWffbBWLG4oS9sfPPvvM sCU/u6TQD1kePx5D3u8Qz0qRbyEbbOShY5xdD2csWrSIbfn111+H/Njw3Bo6 JJ17ssNh4cKFwQ2ISDAfMjTkssOWT0E5tGvsQkfIB4HMXW79+vWG8ZZD40Ny BFlJsxdD/+Fs3bqVrQr5tEmEWRnoM9m38yGR2p0tefHFFw0XqCnv2KowsjIQ 5lYIsheW2l0wK21smujNSjpbP3DgAMUHHf7Tp0/n59QEHRR8s5C9izr8xo0b X3vttbS0NDr919+X0V+P4pMxfreapmRsZjJjxgy+md8W5O1F0UYHmvmRAAYf mgy34+kkiC3ftGmT4a+wu040cIXUFdIqu/lIH6WfaooXqUdEaZBHQN966y22 ynAs0wksW64/uw9SDz/9qays5DtI/UR/B5PBRz9+ZhqkPH5F3Zy5BsSzUvBb +HyGz7ppfGN69bElwS1NGmk5zUaCG/CGlZVHjhxhS2ik/dAEGzMNP+4T6XLs 8g71cPMcL8KspO9N9iWCuVo6r2cbl5eXRyjKG2o0ExkSq6qqAu1X5FkpOJYG 2gtL7S6YlTY2TZRm5cGDB/ldBjOCWUnTGP3lTTP69uUPV9Bow5Z8+umnbMn7 77/PN/PbgkePHjU8GkEn/tRSNEDp6wk0NFG2suWGmy/enxJ83LhxwXV5BaxO mzaNPurll18O/jnBs1JcaZDxnD9+YxjPT506xZYLjucff/wxW8VuWbKrmnQU m8suKytjW7IHtIKXR3nKVjmalX6/hf8MnF9Ypi7BltAgKfKxdrmdPXt2suna ml/CyMpPPvkkSBdi8HYU73Ls/p3fHh5hVgZ5ToZTWFgYoShv0NFMcEjkbs2v VYwkKy2NpYH2wlK7C2aljU0TjVlJwwKPHjpaqRtQ7z106BC/fyeYlbNmzWLb U9ZQ6OzYsYPGJToHWbp0qbl9CTp/TPbNS9njzVlZWcm+x8z0TzsHmnSVlJSw 4cXAsmXL+HlcoKGpurqaLTdnJTtNsCUr2bQtIyMj+OcEz0pxpUHGc36x1DCe 8/NrwfGc3+BjccOm2X53kPcc/quBIOV9/vnn+o8NQiRZGehb+I1FOkGgnpOa mprsu56mP1eS4JY9CuJQVr777rtsCQ2MiwLAb9qKd7nJkycnBzgXZllJZx98 iaWsZF2L/nqgagm/P/axJMobeDQTHxLpfIot0U+uGGfPnmWrtm7dyhcKZqWl sTTQXlhqd8GstLFpojEr+XWk9957T389jeY2ho7h/aldsrOzDR/CBwdqF8PP 5fhT5Yas5E/m7969m/qV3xYPfjGfZu90skMjmP5hQuohbG3DZiW7uxfy1meQ 8dOSUgnjOW3GVrFjge0gnT6bd4qOa7Ylv7apbFbSEMeWU8fj12kND0JHe1by fTT8hsWMpS7HaqbENH9OkPPKvLw8w8bmrGRJIfKUSBDEs9I8mokPibxfUWga PiTs80qrY2mgvRBvd79l+K3WxqaJxqyk8TzZ9zCb4b6D36xkT74tX77c8CH8 pEN/BZURKCv5Ez7kn/+8wvBTZfEb39Qf2Ja8tobNSiqDfctXX30VZDOR8zgR pRLG81dffZWtYs+xsCkuHaeGJ1X0H8IfpFE2K6mDsYvJ48ePZz8VMVzZCP6x UZGV/IJwyJ9wWupy9Gl+j1mvv6w8d+5cIIfmrOR3vvjjVWEgMhQHGs3Eh0Q6 utmS1157zfAhYWel1bE00F6It7vfMvxWa2PTRGNWsidqKLYMhzCdFBg6BsF+ O6Z//IbBfylAA4J+OUnmPzXSP23I4PM3hvl6jt8WpHoMtya9vhvxbEs+v2rY rORnzYsWLTIfcVQbG12DjJ+WlDo9nvM56vz589kSOpDZktWrV+u3vHDhArv+ PHHiRP7Qu7JZ6dWdL5t7WsiPjYqspCX8J5/mS4Ve381c9iMIS12O37/OyMjg z3XTPIrOHNnorc9KqoH9fpkmJPozNfpk9rhIsi4reVjQJ5sfjaPvoq8I/sic iChv4NFMfEik/WLPZdHOkhC+ZWVlJb9JZDUrrY6lgfZCvN39luG3WhubJhqz kv809fXXX9+3bx/NEkkIP4lI/nlW8uUUNPSxx44dY6/54s/qTJo0aevWrfRH Gp1oG/7T+2TTeaXX16P0w5T5OobfFqT5HvXMFStWUFvTSQ19e2lpKb8Vzidj DZuV1GH4q2PIcFlZGfU3+ivbtm1jN8UMv680j5+WlNo+ni9evHj//v1VVVVU OX9LEv2X/+iMdpC/o4C+lD6NaqCN2dCR/PMrmSpnJfUH/UtIzF8R7Vnp1T3a RC1INVMqUW+ko48OFvYDn7Vr13otdjkeE8m+eRF9DqWD/v0M+qz06u7B0bkJ 9RP6ZBpY9J/Ms5I+mYcCfQUNSnSKREoLCwvfeecd9leCPDcuKMobeDSzNCTy OUOy70mnhQsX8oRiWM1Kq2NpoL0Qb/dA3cZvtXY1TTRmZXl5ud/3xfntGH5f vnTixAmaK/LHJALh91Wr/FYjeTa/XC5QVgb6ijlz5ijybI/X1+f1z5kbCJmV lpTaPp77RX/Ue31PWE2YMMHvlnPnztVPL1XOSq/u+gYNO5Y+Nlqy0qu7fOcX NmZaPYqPHz9ufhHWJB/JpuOI38UOhP69PTSksCfJA2FLVgYazSwNiSSc/4pN D38xlL4PiGSl1VYItBfi7R6o2/h9b49dTRONWen1vSuJvwqJQYPG4cOHWYcx /A6RzhfYqxsYY8eOZb9LpRNww3POKSkpNLqyNwzQR5mvwXp1l/L83pGkbsOu 5+iHKZrM0MTP0Jkpamks0t9pYg1NmxluP1FTsr+if8cCY+XKleyjguvyCv9q lfrY8uXLDe9OpIFxz5497MJsoCIZ4kopmJgQ8wsW2Mak0TCe8+f09CeAfDyn DqA3TOfIFDfmCs1vm6SdpZ0yvzg0UHn8PTl+P1+PyLl8eN/Cf1bv9/3wdrkN 0tbsnQb8pytBCCnB7yHDoBMK+grDgTN58mTakg+tVo9iOprYvz6QkZFBJ4yU C+fPn2efYHjTiNd3Y0J/4kkTrby8PP6kgeH5SYoD6o2GH25QAdQz6Swv5Is7 BI/QQKOZpSHR65s3Uu7QyRqdV1I/oRO6L396ccHevXv5ZvzBDH7V2m97WW2F QHvBEGl3v2WYq2XY0jRRmpVe340GUkoxRKOK+WkNAzR6kGTqOfTJhlajGTVN IGmqc+TIEcMAYi9UA3sXHEH/E/Iiub1YamjqPKdOnaI6aTTwm4nBkabU+/Nz H+oStI90dhxyokgblJWV0fBC2ztXoUMHF3Vgdn+KZsvir05qKCKXQA309ddf 05yBzuMCvccjki5Hoy67Nqt/ySGH3a+hcYbOSQVtV1dX01+hw4fK9jvf9ou4 qECjmaUh0Qx/rJq9uyMMLLVCkDGZIdLuVomkaaI3K4ElYtWqyHuEGgqHnPPH FQxvJ1YTpTre6dOnzS804297bth/n12aKJob0BzYkPukhb+BP4zpcWyDrHQV sWrVbVnJ/1WR5557LvjrhRVBqY7HXhKYnp6enZ2dl5fHXgfHrxk2bEZIE8We wKf9XbRoERnYvHkz2eAPKuhfRAAYyEpXEatW3ZaV/JmfCP9ZeWko1fH4C3UN UHD4/ZGCTCRnpV8oPcWvTLoHZKWriFWrH3zwQVpa2iuvvCLyD15LxgnndDaU 5sP8i101UarjlZWV0Rxj5syZU6dOff7556dPn56VlUXTLRUmWtJEeTye3Nzc zMzMl156adKkSTRPoBPtN998U/9P2gE9yEpXAavygXMvJAgDUcqCrHQVsCof OPdCgjAQpSzISlcBq/KBcy8kCANRyoKsdBWwKh8490KCMBClLMhKVwGr8oFz LyQIA1HKgqx0FbAqHzj3QoIwEKUsyEpXAavygXMvJAgDUcryJQAAAAAAAAAA YBMNfY77M1hJGrAVWJUPnGuQIAxEKQuy0lXAqnzgXIMEYSBKWZCVrgJW5QPn GiQIA1HKgqx0FbAqHzjXIEEYiFIWZKWrgFX5wLkGCcJAlLIgK10FrMoHzjVI EAailAVZ6SpgVT5wrkGCMBClLMhKVwGr8oFzDRKEgShlQVa6CliVD5xrkCAM RCkLstJVwKp84FyDBGEgSlmQla4CVuUD5xokCANRyoKsdBWwKh841yBBGIhS FmSlq4BV+cC5BgnCQJSyICtdBazKB841SBAGopQFWekqYFU+cK5BgjAQpSzI SlcBq/IJw/n333/vUDENBTqeIBClLGFnZUZGxp99DBw48NKlSw2elfX19YmJ if369Tt48KBzuqIdWJWPuPOCgoLHHnusW7ducXFxHTp0GDRo0OLFi50uTw7o eIJAlLKEl5Uej+eOO+6I+4k1a9Y0eFbm5uayYnbv3u2crmgHVuUj6DwnJ6dZ s2ZxJkaNGnXr1i0JdToKOp4gEKUs4WUlbyDG4MGDGyorN23aNH/+/GHDhjVp 0gR9JiSwKh8R5yUlJcxz586dFy5cuH///lWrVvXv358tzMjIkFOqc6DjCQJR yhJeViYlJVHrtG/ffsiQIfQ/1F6nTp1qkKzs0qWLYR6OPhMEWJWPiPMxY8aQ 5Pj4+MLCQr7Q4/HceeedtDwhIaG+vt7hMp0FHU8QiFKWMLLy3LlzzZs3p9Z5 9tlnN2zYwFpqwYIFDZKVmZmZL/kYMWIE+kxIYFU+IZ3/8MMPbdu2JcnDhw83 rFq2bBnzX1BQ4GSNjoOOJwhEKUsYWbl06VLWOh9++GFNTQ2dXdL/9+3bt0Gy krN37170mZDAqnxCOi8uLmaSs7KyDKuqqqrYqpkzZzpZo+Og4wkCUcoSRlbe d9991DRdunSpq6ujP9LZJWusQ4cOISsVB1blE9L5jh07mOT8/Hzz2vj4eFo1 btw4xwqUATqeIBClLFaz8siRI6xpJk+ezJbQ2aVhCbJSWWBVPiGdZ2dnM8l+ H/vv0KEDrUpKSnKsQBmg4wkCUcpiNSvT0tJY05SUlLAldHb529/+lpbQf9mZ JrJSWWBVPiGdp6enM8lVVVXmtewpjnvvvdexAmWAjicIRCmL1azs3r07tctd d92lX5iamsra6/3330dWqgysyiek8xkzZjDJJ06cMK9NSEhAVroHiFIWS1nJ 22XcuHEVOjZu3MiWP/XUU8hKlYFV+YR0vmTJEia5vLzcvLZTp060aujQoY4V KAN0PEEgSlksZeXYsWPjgtK2bVu73neHPuMEsCqfkM75mz2KiorMa1u2bEmr Ro4c6ViBMkDHEwSilEU8Kz0eT8eOHYNnZZx977tDn3ECWJVPSOf79u1jktet W2dYdeHCBbZq+vTpTtboOOh4gkCUsohn5aZNm1ijzJkzp9wENVmjRo3i7Hvf HfqME8CqfEI6p0Bs3LhxnO/Vr4ZV/O5GTk6OkzU6DjqeIBClLOJZ+cgjj8T5 XsN17tw5vxs88MADcfa97w59xglgVT4izmmGGed7GezFixf5wvr6+kGDBtHy Nm3aXLt2zeEynQUdTxCIUhbBrOTvtRs2bFigbfj7fF599VVpWUljSK2PXbt2 sW/Py8tjS6J9eHECWJWPiHPSyzzThLOyspJSsrq6OiUlhS0cPXq0nFKdAx1P EIhSFsGs5Dm4bt26QNucPXuW/aNCffr0kZaVXbt2jQtAjx49JAiMLmBVPiLO b968+eSTT3LJrVu31gunI0tOqc6BjicIRCmLYFY++OCDcb5rQcEfcx06dChr ry+++EJOVrJ/GNcvPXv2lCAwuoBV+Qg6p3PJadOm0SHGVdPM8+GHH/Z4PBKK dBp0PEEgSlnE71dKxup1eyACrMrHknNKzGPHjuXm5hYXF1+/ft3RwmSCjicI RCkLstJVwKp84FyDBGEgSlmQla4CVuUD5xokCANRyoKsdBWwKh841yBBGIhS FmSlq4BV+cC5BgnCQJSyICtdBazKB841SBAGopQFWekqYFU+cK5BgjAQpSzI SlcBq/KBcw0ShIEoZUFWugpYlQ+ca5AgDEQpC7LSVcCqfOBcgwRhIEpZkJWu AlblA+caJAgDUcqCrHQVsCofONcgQRiIUhZkpauAVfnAuQYJwkCUsnwJAAAA AAAAAADYRENfdv0ZrKSGPu2ONWBVPnCuQYIwEKUsyEpXAavygXMNEoSBKGVB VroKWJUPnGuQIAxEKQuy0lXAqnzgXIMEYSBKWZCVrgJW5QPnGiQIA1HKgqx0 FbAqHzjXIEEYiFIWZKWrgFX5wLkGCcJAlLIgK10FrMoHzjVIEAailAVZ6Spg VT5wrkGCMBClLMhKVwGr8oFzDRKEgShlQVa6CliVD5xrkCAMRCkLstJVwKp8 4FyDBGEgSlmQla4CVuUD5xokCANRyoKsdBWwKh841yBBGIhSFmSlq4BV+cC5 BgnCQJSyICtdBazKB841SBDGqqhbt27V1NTU19c7VxJgWMrKsWPH/lnHgAED Bg4c+Je//OW5557bsWOHx+NpwKyk3pKYmNivX7+DBw86pyvagVX5wLkmJuHk yZOJQVm+fLmcahsQEVFXrlxZuXLlkCFDEhISmjZtGhcX16xZs27duk2dOvXM mTNy6nQhlrKyT58+cYHp27fvN99801BZmZuby8rYvXu3c7qiHViVD5xrYhJK S0uDDC/E+PHj5VTbgIiISkpKCqSoY8eOR48elVOq2wgjK6k5/uVj0qRJo0eP pulN69atWUv96U9/kpyVmzZtmj9//rBhw5o0aRJ7I4ztwKp84FyzmJU0jCT7 Y+PGjXKqbUDEs5JOJKdMmbJ69er8/Hz67z333MPs9erVS06pbiOMrLzrrrsM y7/66qtf//rXtCo+Pv7y5csys7JLly6GmVUsjTC2A6vygXPNYla6IRMDISJq 3rx5a9euvXnzpn7hjRs3+vfvzwRevHjRyRpdii1ZSTzxxBOsmY4fPy4zKzMz M1/yMWLEiNgbYWwHVuUD5xqyUhirV+z1UOdhAsvKyuytCmj2ZeWAAQNoVffu 3W0JSvGs5Ozduzf2RhjbgVX5wLmGrBQmkqwcPHgw2WvevPn169ftrQpodmTl 1atXs7KyWCefNWsWslJlYFU+cK5ZzMoVK1acPXv222+/NVxmdANhZOXt27dJ 3cSJE5m99PR0h2pzOWFkZevWrQf6eOihh/r379+pUyfWRrNnz7YrKJGVDgGr 8oFzLdznYBs1avSLX/zi+eefP3HihJw6GxxLvaW6upoG4Q4dOjBdLVq0oKDE by0dIoysDES7du1SU1PpNBNZqSywKh841yL+zQilQGFhoZxSGxZLvYW21Ft6 /PHHKyoqHC3PzYSRlR07dkz9iUmTJv3zn/988MEHmzdvztpr+PDhyEplgVX5 wLkmJuHixYvz58/ftWtXSUkJbVxcXLxmzRr+Uwgads6fPy+n2gbEUm/xeDxp aWk0Dj/66KOtWrUiS02aNFmxYoWjFbqWyO9XMo4ePdq9e3fWq6m3IyvVBFbl A+daZI+sPPXUU0zI22+/bW9VChK2qJqaml69esX5frjnnkvWMrErK4ktW7aw Lj116lRkpZrAqnzgXIssK48fP86EpKSk2FuVgkQiaufOnUxUdna2vVUBzdas PHz4MGupZ555BlmpJrAqHzjXIouA69evMyF/+9vf7K1KQSIRxW9fumFSIR8b s5LPamx5IBYjjBPAqnzgXIssAsrLy5mQmTNn2luVgkQias+ePUzUggUL7K0K aPZl5fnz53v37s2PcWSlmsCqfOBcE5OwdetWvz+i568K37VrlzPVKURIUTU1 NRs3bjT/8rS+vn7gwIFMVH5+vpM1upQwsrJbt267fNCJ5Pr165ctWzZ27Ng7 7riDNdPQoUPr6uqkZeW1a9dqfVA9rIC8vDy2hFZJEBhdwKp84FwTk9CmTZvO nTvPmjVr3759V65c+d///ldWVkbjCbPxxz/+8fbt23KqbUBCiqqoqCAbXbt2 zczMLCoqunr16o8//lhYWJiYmMhE9e3b98aNG9IKdg9hZGUQBgwYUF1dHXlQ imcl9ZlAxfTo0UOCwOgCVuUD55pwVur3ulGjRvz/aSrukn9qSjArA9G+fftj x45Jq9ZVWMrKu+++29w6nTp16t279/Dhw99//31bUtJSVtJJbqBu07NnTwkC owtYlQ+ca8L/fAa/j8Np2rTpP/7xj5qaGjl1NjghRdHYmJ6ebhbVuHHj0aNH X758WVqpbsNSVsrE6l0eIAKsygfONSsSaLQvLS3duXPn5s2bjxw58r///c/p 2pRCXFRtbW15eTmJ2rJlS2VlJd6X7jTISlcBq/KBcw0ShIEoZUFWugpYlQ+c a5AgDEQpC7LSVcCqfOBcgwRhIEpZkJWuAlblA+caJAgDUcqCrHQVsCofONcg QRiIUhZkpauAVfnAuQYJwkCUsiArXQWsygfONUgQBqKUBVnpKmBVPnCuQYIw EKUsyEpXAavygXMNEoSBKGVBVroKWJUPnGuQIAxEKQuy0lXAqnzgXIMEYSBK WZCVrgJW5QPnGiQIA1HK8iUAAAAAAAAAAGATDX3Z9Wewkhr6tDvWgFX5wLkG CcJAlLIgK10FrMoHzjVIEAailAVZ6SpgVT5wrkGCMBClLMhKVwGr8oFzDRKE gShlQVa6CliVD5xrkCAMRCkLstJVwKp84FyDBGEgSlmQla4CVuUD5xokCANR yoKsdBWwKh841yBBGIhSFmSlq4BV+cC5BgnCQJSyICtdBazKB841SBAGopQF WekqYFU+cK5BgjAQpSzISlcBq/KBcw0ShIEoZUFWugpYlQ+ca5AgDEQpC7LS VcCqfOBcgwRhIEpZkJWuAlblA+caJAgDUcoSeVZ6PJ7a2lp7g9KLrHSGMKx+ //33DhXjEqw6v3XrVk1NTX19vXMlyQcSBIEoZQkvK8+dOzdz5sykpKQePXo0 9dG1a9f7778/PT395MmTDZKV1FsSExP79et38OBB53RFO+JWCwoKHnvssW7d usXFxXXo0GHQoEGLFy92uryYRMT5lStXVq5cOWTIkISEBDqayHmzZs1I/tSp U8+cOSOnTkeBBEEgSlnCyMoNGzb86le/igtAkyZN/vrXv8rPytzcXFbA7t27 ndMV7QhazcnJoaPP3LijRo2ieayEOmMJEec07Qx0QHXs2PHo0aNySnUOSBAE opTFalZOmTKFt8vAgQNnz569adOm5cuXjx8/vn///mx5y5YtpWUlffv8+fOH DRtGGY2sDImI1ZKSEmayc+fOCxcu3L9//6pVq3jjZmRkyCk1ZhAf/ejUgI6v 1atX5+fn03/vuece5rxXr15ySnUOSBAEopTFUlZ+9tlnLJLatWtH46d5g7y8 vK5du8rMyi5duhhmVsjKIIhYHTNmDGmMj48vLCzkCz0ez5133knLExIScHPE EiLO582bt3bt2ps3b+oX3rhxg09RLl686GSNjgMJgkCUsohnZV1dHW+L9evX B9qMmikrK0taVmZmZr7kY8SIEcjKkIS0+sMPP7Rt25Y0Dh8+3LBq2bJlzHBB QYGTNcYaVu8m6KGOzZyXlZXZW5VkIEEQiFIW8az86KOPWEPcf//9kUehXVnJ 2bt3L7IyJCGtFhcXM4004TGsqqqqYqtmzpzpZI2xRiSj3+DBg0l48+bNr1+/ bm9VkoEEQSBKWcSzcsmSJSFPKpGVihPS6o4dO5jG/Px889r4+HhaNW7cOMcK jEHCGP1u375dWlo6ceJE1hbp6ekO1SYNSBAEopRFPCsnTJjA2qKkpARZGaWE tJqdnc00+v3pTYcOHWhVUlKSYwXGIJZ6cnV19UMPPcQ8Ey1atKChLwZuEEOC IBClLOJZOXDgQGqORo0a1dTUICujlJBW6VhjGquqqsxr2ZNU9957r2MFxiCW ejJtGafj8ccfr6iocLQ8OUCCIBClLOJZed9998X5fvTqxFt6kJVyCGl1xowZ TOOJEyfMaxMSEpCVVrHUkz0eT1paWmpq6qOPPtqqVas43w+WV6xY4WiFEoAE QSBKWcSz8plnnmGjKE1dkJVRSkir/K50eXm5eW2nTp1o1dChQx0rMAYJ4w4U o6amplevXnG+3+/4nbpEEZAgCEQpi3hWzp07l42ieXl5yMooJaRV/vqjoqIi 89qWLVvSqpEjRzpWYAwS9uhH7Ny5kzVHdna2vVVJBhIEgShlEc/KLVu2sIZ4 9tlnkZVRSkir+/btYxrXrVtnWHXhwgW2avr06U7WGGtEMvrxG1IpKSn2ViUZ SBAEopRFPCtPnz7drl079njP/v37g2xpy4OyyEonCGmVArFx48Zxvle/GlZt 3LiRGc7JyXGyxlgjktFvz549zPmCBQvsrUoykCAIRCmLeFYSb7zxBmuLHj16 HDp0yLzBN9988/e//71Vq1bISjURscp+0dy5c2f9m7Lq6+sHDRpEy9u0aXPt 2jWHy4wpQjqvqamheYjhlWWazzl7+DwuwM9dowhIEASilMVSVtbV1fXr1481 R4sWLV5++WVqlOrq6iNHjmzYsOHFF19kv/SR+T5YGrdrfezatYvfTmVLMKSb EbFKApnJBx54oLKyko5BauKUlBS2cPTo0XJKjRlCOq+oqCCxXbt2zczMLCoq unr16o8//lhYWJiYmMic9+3b98aNG9IKdgJIEASilMVSVhInTpwYPnx4XFB+ 85vfSMtK6jOByqCTXwkCowsRqzRlffLJJ7nG1q1b65WePXtWTqkxg+DoF4j2 7dsfO3ZMWrUOAQmCQJSyWM1KBp169OnTh04t9c0UHx9PZyJvvvnmpUuXpGUl +8eI/dKzZ08JAqMLQat0Ljlt2rQ2bdpwmc2aNXv44Yc9Ho+EImOMkM6pt6en p/fu3dvQgRs3bkxn8ZcvX5ZWqnNAgiAQpSzhZSWjrq7uyJEj27dv37ZtW2Fh oS0RaTUrgSUsWaXEpDlqbm5ucXEx3sYcNuLOa2try8vLd+7cuWXLlsrKylhy DgmCQJSyRJKVjoKsdAJYlQ+ca5AgDEQpC7LSVcCqfOBcgwRhIEpZkJWuAlbl A+caJAgDUcqCrHQVsCofONcgQRiIUhZkpauAVfnAuQYJwkCUsiArXQWsygfO NUgQBqKUBVnpKmBVPnCuQYIwEKUsyEpXAavygXMNEoSBKGVBVroKWJUPnGuQ IAxEKQuy0lXAqnzgXIMEYSBKWZCVrgJW5QPnGiQIA1HKgqx0FbAqHzjXIEEY iFKWLwEAAAAAAAAAAJto6MuuP4OV1NCn3bEGrMoHzjVIEAailAVZ6SpgVT5w rkGCMBClLMhKVwGr8oFzDRKEgShlQVa6CliVD5xrkCAMRCkLstJVwKp84FyD BGEgSlmQla4CVuUD5xokCANRyoKsdBWwKh841yBBGIhSFmSlq4BV+cC5BgnC QJSyICtdBazKB841SBAGopQFWekqYFU+cK5BgjAQpSzISlcBq/KBcw0ShIEo ZUFWugpYlQ+ca5AgDEQpC7LSVcCqfOBcgwRhIEpZkJWuAlblA+caJAgDUcqC rHQVsCofONcgQRiIUhZkpasIw+r333/vUDEuAT1Zsy7h1q1bNTU19fX1zpWk JjhClcVSVo4dO/bPOgYPHvzII48kJydnZmZ+8cUXDZuVdFglJib269fv4MGD zumKdsStFhQUPPbYY926dYuLi+vQocOgQYMWL17sdHkxCXqyJibhypUrK1eu HDJkSEJCQtOmTanjNWvWjHrg1KlTz5w5I6fOBgdHqLJYyso+ffrEBWbAgAHv vfdeQ2Vlbm4uK2P37t3O6Yp2BK3m5OTQMGVu4lGjRtGEX0KdsQR6siYmISkp KdDY0rFjx6NHj8optWHBEaosYWQlzWEmTZo0ceLEp59+miaBf/jDH3hLUfNt 375dZlZu2rRp/vz5w4YNa9KkSeyNMLYjYrWkpISZ7Ny588KFC/fv379q1ar+ /fuzhRkZGXJKjRnQkzUrWUknSlOmTFm9enV+fj7995577mE2evXqJafUhgVH qLKEkZV33XWXYXlpaen48eNZS7Vq1WrPnj3SsrJLly6GmVUsjTC2I2J1zJgx pDE+Pr6wsJAv9Hg8d955Jy1PSEhw4V2kSEBP1sQkzJs3b+3atTdv3tQvvHHj Bk+BixcvOlmjEuAIVRZbspIxZ84c1qXbtWt3+PBhOVmZmZn5ko8RI0bE3ghj OyGt/vDDD23btiWNw4cPN6xatmwZM1xQUOBkjbEGerIW2QNO5IQJKSsrs7cq BcERqiw2ZiUxffp01lgTJkyQk5WcvXv3xt4IYzshrRYXFzONWVlZhlVVVVVs 1cyZM52sMdZAT9Yiy8rBgweTjebNm1+/ft3eqhQER6iy2JuV3377Lb+QjqxU kJBWd+zYwTTm5+eb18bHx9OqcePGOVZgDIKerIWVlbdv3y4tLZ04cSKzkZ6e 7lBtSoEjVFnszUqie/furCnPnj2LrFSNkFazs7OZRr8/WOjQoQOtSkpKcqzA GAQ9WbMoobq6+qGHHmKdjWjRogUFpUvuweEIVRbbs/KJJ55gTfn5558jK1Uj pFUalJjGqqoq81r2/Mm9997rWIExCHqyZlECbRmn4/HHH6+oqHC0PHXAEaos tmfl008/zZrywIEDyErVCGl1xowZTOOJEyfMaxMSEnAkWgU9WbMowePxpKWl paamPvroo61atSIVTZo0WbFihaMVKgKOUGWxPSv5A94nT55EVqpGSKtLlixh GsvLy81rO3XqRKuGDh3qWIExCHqyFsGzPTU1Nb169Yrz/UTCbzrEGDhClcXe rKytrW3dujVt06ZNm7q6OmSlaoS0yl8aU1RUZF7bsmVLWjVy5EjHCoxB0JO1 yJ6D3blzJxOSnZ1tb1UKgiNUWezNys2bN7N2fPrppyMJSmSlQ4S0um/fPqZx 3bp1hlUXLlxgq6ZPn+5kjbEGerIWWVby25cpKSn2VqUgOEKVxcaspHkOnU6y xvrkk0+QlQoS0iodbo0bN47zvVjSsGrjxo3McE5OjpM1xhroyVpkWblnzx4m ZMGCBfZWpSA4QpXFlqysq6vbsWPHL3/5S9ZS48ePjzAokZUOIWKV/fS7c+fO +leK1dfXDxo0iF1dv3btmsNlxhToyZqAhJqaGhrqDS+403wdb+DAgUyI318U xhg4QpUljKzs1q3b9u3bt23btmbNmszMzNTU1N/97ndxP0Ed+/Lly9KyknpF rY9du3axAvLy8tgSdBgzIlZJIDP5wAMPVFZW0jFYXV2dkpLCFo4ePVpOqTED erImIKGiooJ2uWvXrjSkFBUVXb169ccffywsLExMTGQ2+vbte+PGDWkFNxQ4 QpUljKwMRNu2bV944QU6tCMPSvGspIMrUD09evSQIDC6ELFKc/snn3ySa2QP a3GlZ8+elVNqzICerAlnZSDat29/7NgxadU2IDhClcVSVt599936Dty0aVPK x9///veDBw9evnz5d999Z0tKWspK9k+d+qVnz54SBEYXglZppjpt2jR+9znO 96+tPfzwwx6PR0KRMQZ6siYggQ759PT03r17G/a9cePGdKJ0+fJlaaU2LDhC lcVSVsrE6l0eIIIlq3Q80mQ+Nze3uLjYDa+tdgj0ZM2KhNra2vLy8p07d27Z sqWystJtHQ9HqLIgK10FrMoHzjVIEAailAVZ6SpgVT5wrkGCMBClLMhKVwGr 8oFzDRKEgShlQVa6CliVD5xrkCAMRCkLstJVwKp84FyDBGEgSlmQla4CVuUD 5xokCANRyoKsdBWwKh841yBBGIhSFmSlq4BV+cC5BgnCQJSyICtdBazKB841 SBAGopQFWekqYFU+cK5BgjAQpSzISlcBq/KBcw0ShIEoZUFWugpYlQ+ca5Ag DEQpy5cAAAAAAAAAAEDENPTZLQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAALid/w8aJK7R "], {{0, 280}, {612, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{306., Automatic}, ImageSizeRaw->{612, 280}, PlotRange->{{0, 612}, {0, 280}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.7796243949178743`*^9, 3.78005124488113*^9, 3.78005251675423*^9, { 3.780052553902529*^9, 3.780052569227015*^9}, 3.7800541873384447`*^9}, CellLabel->"Out[1]=", CellID->799072857] }, Open ]], Cell[TextData[{ "Obtain the contingency value triplets using ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Tally", "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/Tally", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779624322849543*^9, 3.7796243390607224`*^9}, { 3.77962440273736*^9, 3.779624435373481*^9}, {3.78033392457933*^9, 3.780333934708303*^9}, {3.7803363787308807`*^9, 3.78033638212422*^9}}, CellID->162771754], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Tally", "[", RowBox[{"sarr", "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"1", ";;", "2"}]}], "\[RightDoubleBracket]"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7796242096956778`*^9, 3.779624216658584*^9}}, CellLabel->"In[2]:=", CellID->609840244], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>"}], "}"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>"}], "}"}], ",", "5"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>"}], "}"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>"}], "}"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"atavism\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"hymn\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"league\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"atavism\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"atavism\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"hymn\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"atavism\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"crampon\"\>"}], "}"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"crampon\"\>"}], "}"}], ",", "1"}], "}"}]}], "}"}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.779624217117772*^9, 3.780051244941312*^9, 3.780052516814884*^9, { 3.7800525539587927`*^9, 3.78005256928176*^9}, 3.780054187391675*^9}, CellLabel->"Out[2]=", CellID->263957842] }, Open ]], Cell[TextData[{ "Obtain the contingency values rules using ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["GroupBy", "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/GroupBy", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7796243427845163`*^9, 3.779624346339519*^9}, { 3.779624440605579*^9, 3.779624452606009*^9}, {3.7796256326774187`*^9, 3.779625658843865*^9}, {3.780333941556878*^9, 3.7803339660884037`*^9}}, CellID->510254902], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"GroupBy", "[", RowBox[{"sarr", ",", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"#", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], ",", RowBox[{"#", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], "}"}], "&"}], ",", "Length"}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779624106905628*^9, 3.779624163323039*^9}, { 3.7796242705389643`*^9, 3.779624271559654*^9}}, CellLabel->"In[3]:=", CellID->13863336], Cell[BoxData[ RowBox[{"\[LeftAssociation]", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>"}], "}"}], "\[Rule]", "3"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>"}], "}"}], "\[Rule]", "5"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], "\[Rule]", "3"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>"}], "}"}], "\[Rule]", "3"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], "\[Rule]", "3"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>"}], "}"}], "\[Rule]", "3"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"atavism\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"hymn\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"league\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"atavism\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"atavism\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"hymn\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"atavism\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"crampon\"\>"}], "}"}], "\[Rule]", "1"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"crampon\"\>"}], "}"}], "\[Rule]", "1"}]}], "\[RightAssociation]"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7796241225662746`*^9, 3.7796241637285357`*^9}, 3.779624272187892*^9, 3.7800512449750967`*^9, 3.78005251685703*^9, { 3.780052554031282*^9, 3.780052569345634*^9}, 3.780054187436325*^9}, CellLabel->"Out[3]=", CellID->582947033] }, Open ]], Cell[TextData[{ Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["GroupBy", "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/GroupBy", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " generalizes better than ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Tally", "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/Tally", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " -- we can use ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["GroupBy", "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/GroupBy", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " to get the contingency values for three column data:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779624458053844*^9, 3.779624520031269*^9}, { 3.7796256676434937`*^9, 3.7796256680585613`*^9}, {3.7803339732400093`*^9, 3.7803340327140627`*^9}}, CellID->442401372], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"GroupBy", "[", RowBox[{"sarr", ",", RowBox[{ RowBox[{"#", "\[LeftDoubleBracket]", RowBox[{"1", ";;", "2"}], "\[RightDoubleBracket]"}], "&"}], ",", RowBox[{ RowBox[{"Total", "[", RowBox[{"#", "\[LeftDoubleBracket]", RowBox[{"All", ",", "3"}], "\[RightDoubleBracket]"}], "]"}], "&"}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779624106905628*^9, 3.779624163323039*^9}, { 3.779624262482142*^9, 3.779624297007625*^9}, {3.779624592643833*^9, 3.779624598580152*^9}}, CellLabel->"In[4]:=", CellID->891197406], Cell[BoxData[ RowBox[{"\[LeftAssociation]", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"league\"\>"}], "}"}], "\[Rule]", "83.51455795560373`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"league\"\>"}], "}"}], "\[Rule]", "373.9129453625046`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], "\[Rule]", "157.60328355483466`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"hymn\"\>"}], "}"}], "\[Rule]", "163.26279980834937`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], "\[Rule]", "117.99084908718812`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"league\"\>"}], "}"}], "\[Rule]", "71.42857997775124`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"atavism\"\>"}], "}"}], "\[Rule]", "58.730094373073854`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"hymn\"\>"}], "}"}], "\[Rule]", "37.69368338725093`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"league\"\>"}], "}"}], "\[Rule]", "75.05196292553399`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}], "\[Rule]", "71.9667815216444`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"atavism\"\>"}], "}"}], "\[Rule]", "79.65136987921656`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"C\"\>", ",", "\<\"atavism\"\>"}], "}"}], "\[Rule]", "73.62391561915717`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"D\"\>", ",", "\<\"hymn\"\>"}], "}"}], "\[Rule]", "33.89041683921431`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"atavism\"\>"}], "}"}], "\[Rule]", "47.32341789605877`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"crampon\"\>"}], "}"}], "\[Rule]", "38.472654586339786`"}], ",", RowBox[{ RowBox[{"{", RowBox[{"\<\"B\"\>", ",", "\<\"crampon\"\>"}], "}"}], "\[Rule]", "2.975406649927706`"}]}], "\[RightAssociation]"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.779624275913641*^9, 3.779624297294079*^9}, 3.779624521586445*^9, 3.779624601111978*^9, 3.7800512449859047`*^9, 3.780052516869054*^9, {3.780052554042452*^9, 3.7800525693556347`*^9}, 3.780054187445413*^9}, CellLabel->"Out[4]=", CellID->253812842] }, Open ]], Cell[TextData[{ "Find the corresponding result of ", Cell[BoxData["CrossTabulate"], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779624524868814*^9, 3.7796245358826027`*^9}, { 3.779624578397244*^9, 3.77962458372978*^9}, {3.780334040330192*^9, 3.780334055354136*^9}}, CellID->917771622], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", "sarr", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7796243076346197`*^9, 3.779624311163433*^9}}, CellLabel->"In[5]:=", CellID->478933799], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXeYFEX3tkcURYIgSJBXBQGVqIj+QEHUFxERFZBkAFFUMpJZRAGJkhGU HGRRENglR5UgSUTCuizxJS45uCwsIJL3e745l3W1naa6p7e2Yc79BxfbU9Nd /dSp81R1V/c8/GGbWk0yBAKBDpnwT61Gnf/bvn2jLrVz4I+6rTs0b9q68cev tu7YuGnj9s98eDs25rstEJiI8v///6kMwzAMw9wq/I9hGIZhGIZhGIZhGF9y zk/4sEq3HiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhz BbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTD IquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3 sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDI CmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquH NVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1H MiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyekJqfvbs2fHj x48dO3b16tXKanWLIRPYJPLKlSvVVOnWw5/Z47fffkOzjhs37s8//0zvuugx hlwa1TZCbD0hISEuLu7AgQNe7dCexMTEFkGGDx+u5oju8GG73/KE1Pz06dNN gkyePFlZrW4xZMZOJPK3336rrFa3GDLZQ3HiBTExMdSyR44coS3hZ2NPzsI0 5Iy19YQIsfWmTZtCOgyWvNqhPfv27aPGGjhwoJojusOH7X7Lw7auALZ1Bchk D8WJ95yZUYafjT05C7b1cze5rR89enRIELSamiO6w4ftfsvDtq4AtnUF3Cy2 Hn42Zlv3ipva1m8WfNjutzxs6wpgW1fAzWLr4cO27hUyVYqPj589e/bYsWMH Dx7cq1evAQMGjB49et68eSdOnBBltm3bNmvWLJKue/fuszScPHkSBY4fP750 6VKk0G+++ebLL7+k/UD5P/74Q3usHTt20LfwH2NNTp06RZ+uX7+etsydOxd/ btq0SVdy375906dPx7F69+6Nak+cOPHHH388duyY9qTwxTlz5pw5c2br1q0/ /PBDv379UKspU6aIKmH8idMcMWJEt27dsBPERlJSkqyyGuTbff/+/fPnzx83 blzfvn2/+uorVOa3335DDY11xp979+5dvnw5mmbJkiUIZkmFzwUjHzvBrjZv 3gx3w9dHjRqFc/z6668XLVpE7QUg8nfffYea9OzZE60fFxen24+2Pvg/NMQR e/TogY7566+/mp7gxo0bcVIDBw5EkIwcORLfhcg21UtOTsZJQZAvvvgCDRQd HZ2YmCijpCNbtz/Kzp07bWIScmljMi203bVr14wZMwYNGgTR0LjLli2TUUAB 4dg6zgsngu0QATEDldDXdP1LPqQF0O3777/HPtGU6EEQcPXq1VASOxdl/vzz T2oyZC3d13fv3k0fGcMSZxobGzt8+HC0JgIYtdqyZYvNuXuFvcghE69M9tYC cRYsWICk17VrV7TLmDFjNmzYQDtEnhTFTI3SmI0lWzDkWRAyMePU1sNp1pva 1qFzEzNatmyJLE1l0H1MywD0FBRYu3atVQHEm3AuNDdtNF138fPPP9OnCLxz 1kkDhk4DPx3NmjUTJztt2jTaiCDXFcafyLqrVq1q27atbg9oehdrKWVExrks XLiwRYsWxmp36NABBqGtM/wFSV5bBgUkFT6ncTS0bJcuXXSF+/fvD1ODDem2 Qxb0UG2dRX2QP40HnTp1akpKivagkyZNMhZr3769iCJd9ZCZP//8c135Tz75 RJteXGsufxR0c9o4ZMgQ435g1vQp/pMW2mKwYQxmjIhCKqAA17aOUTfG28Zg gGLasZN8SAOMzTBitCoPDUVJNAFtRNbSVRiuQR9pYwxngcF28+bNjbvFEV3o 5gh7kUMmXpnsLcBZG4NWAJMVJY1GadrWki0Y8izOSceMvK2H36y3gK136tRp 2LBhyMyYi4mmb9OmDQ1rMSTGNEds7Kfh8OHD5/5pXxgrBloYAWJCNHToUOFi MGJxOMqxKGkcWVGzoiEwCDxn0YIrV66kja1atULkoIEwUOzcuTNt3L59OxUT aVPUGcPITz/9VNe+yAYYFvbp00e0PiIhLUQWg1UcEcl/woQJqA/MhTbSWEJX Zy3C1mUUFtYjgLXhW8ZBBQY2qAaanv5s166ddmysqw8Ko+ZaDdesWSMKo41o Y+vWrVE9mD4Ki1PW6mOsHkIChfFF+hNVDV9zR0eBPrRRt0wX4xYKVwTbqVOn 0k5bRALqpk3RxpysHne2jvkXTpa2o4fOCYKJEm3ByFlke/mQPqdRDOWxNxwR HR/9WsSYKOnU1oXpoMm+//57zCnwr4gTjP9dCyiDvcghE69M9ibwf3FSSJiY C6Ow1kld23rIFgx5FvIxI2/r4TfrTW3rv/76686dO3UbRZbWXm61uTly8OBB JHlKfQKMxEhGpD6xEfLSnufOnaurKm1HeNAW0xakmSNcWJuBkX4RYDiKGPuJ JIC5MCpG80rsEKlAhDG8lcYP5zSXEWQ8RUdIkVFVCnWEtPYSFuSC/aFTGG0d 3e2nn37atWsXBrHI8Ki/vMJa6xk9erQIdYx5cCzaHhUVtX79epIFXQZdibZr qyfq89lnn4nbIuc0/QWVFNWg2EBJbbssWbJEdFXT6o0YMUJcD0cHF8Mz6uzh aO7oKOIyEZpDuxOoQduRr9JI2/bt269YsQKRqdN24sSJ9goowJ2tT548mTYu X75cW1icsrjLIB/Se/bsIXkhl/YiKqbwsLMmYdj6oUOHMLHFll69eolsQNvp ah4c01akcAnz3rp89kZeFXkPuontkIK2u7B1+Ra0Pwv5mJG0dU+a9aa2dasv klAzZ84UG12seSAbRZcUievEiRPkcbAAbUkMpeiIotuatiBNrLBDbWMZEfGA dtRu37x5M203XoehPXfs2FH+7IiQIn/33Xd0UNic8VNxIqLO8+fPF3KFxKiw sB70X13hL7/8kj7S3WtA96ft2mvFoj7aRQtEjx496CNyRrge/blu3TpdSTFn x/gkZPVE9wx5/0ve1mWOAjUoEaHL0w0RYvjw4VRy7969IXfrTltdfGJGT71j 0KBB9goowIWtI8NTlhCDcwGko8tTIdfXGUP6hx9+0KV3AdJRkzBsHQM5XXwK Zs+eTR95uxBLR5i2brVPqrnI3ohJ2vLpp5/q7m7AmukjF7ZuhbEFbc7CUcxI 2ronzXqz2/rJkyd/++03OB1SU5cuXcSVCoAOJYqFjC50lunTpw8dOrR79+7t 2rXT3jTUXoEU40axsgKjRxpEdevWTRQzbUHRXnBhdFLj0hdCpE3d0hHMJWn7 jBkzdF+hW6JIqiHl0hFSZLpRjj1rB8nyddYio7DNIvCxY8fSR7quvWvXLtqu vYRiUx8xqUxISBAniLDR3m0nRCIV832b6ok7LMbhgQ55W5c8ihh6ifkC0h3J q3VYBdpiuIvtGDjZK6AAF7a+bds22oLE/pMBStG6B59lQpqu0aEHGYe7Ydo6 jtskaEDG2o4ePZoKx8fHOxdPlvBtXSZ779ixw0qT8G1dMu1bnYWjmJG0dU+a 9aa29Q0bNohbVEYkbR0jLu31bSPa9hWLlJAJacuaNWtoy+LFi0Ux0xbcvn27 bolRp06d0FJIntr6WKVNDANou+7O3bl/BhvNmze3l8tISJGjoqKw565du9rv x97W5RW2sR6xqk1nPfv376ftktazYsUK+ohur9NlbXRqY7Xj4uKoJC2DtK8e rJ8+SlNbNz2KeNuGuLOACKEtyJkyu/VK2169ejUxXMBMF1zY+i+//GITooSI E/mQpvvFpj0oTFu3WUImWLt2rSv9pAjT1iWzt2gX47uUw7F1R2nf6iwcxYyk rXvSrDevrSNlCZdEJkEYIPI3bdok7jVL2nrPnj2pPGwR/jhv3jzkTEzlRowY YWxfgFl5k+Dwmx5wGDJkSJPg6k3t8w5W48ONGzdS6tMxcuRIMR22SpvHjh2j 7UZbp9lWWtg6DTj79Oljvx97W5dX2MZ6xNVynfWIixiS1iNuRpMz0gTB9ARF IIlHkGyq9/vvv2t3a0M4tm51FHETHFMbBFL79u2bBC9aameICrSlVUw3qa0v XLiQtiAPD7dALGCQD+kOHTo0sbiCQbaOeZnY4sjWKXTxdavaAtMnH70iHFuX z96YpdIW7RiVOHToEH00e/ZssVHS1h2lfauzcBQzkrbuSbPevLYurhwuWrRI ewUVwzBdYJz7p13GjRun24lIXGgX3XPH4pkUna2L54Z+/PFHxJVpi9vfzcEk CHNGZFft+mFECH3qK1unO9Eh79rbpHpHCiuwHhSjj6hr0AlGRUUZTwrdnEqK i9u+tXVkPNqOOBQX6nVPRrCtazH2UKGh7oE+I45CmjSBuRv3YzNbj42N1RU2 2joZU1qvi7NB3taNiVc+e4uYh7/rduJ6tu407VudhXzMmFbDtLaeNOvNa+vw mibB9aW6m1amtk6LUUeNGqXbiZi7aS+hE1a2LhbOQX/x8Jfu9RHyizQQD1RS 1M1Xto5a0UH37NljU0xmdiyjsALrGTBgAH1Ey8NocI5uq1sApt2JWJ/mW1tH vNHdhJYtW9JzbbrLR/a7ZVs/p7njEPLRe0chjb2ZpohzZrZ++PBhqzYy2rq4 0ypWRSpGxjWsEq989kbmoS1Dhw7V7cS1rTtN+1ZnIR8zptUwra0nzXrz2jot VIPD6tIL5la6wAD0EK52VRshnmNCstJuh8jiuUjtAmNCDDUJ4xU20xZEfXS3 0c8FF41QSTEU9JWti0sTw4cPN3ZAVJWMwCbVO1I4ra1HjK779+9PW9Cvacuk SZO0JY8fP043IFq3bi2egvGtrZ/TXIUwBl7I3bKt0xbxqL7xeu+54MIGeurK UUiLtRx9+vQRT45gSIn5OJmF1tZRB3oNBcZm2jks9kwrqZpobF14E/ZsXNGK Y+EQ9itdw0TGNawSr3z2hia0FBNCQUxRMiEhQdzQdGrrTtO+1VnIx4xpNUxr 60mz3ry2Lh75/+qrr1atWoXBMAQRc7Em/7Z1sR2eiN3u3LmTXpgplsC1adNm 9uzZ+BOZE2XE61aaGGbr54IRpU2hxqtDpi2IoSkic8yYMWhrzA1x9M2bN4tl G2Lc6CtbR/yIF51B8Li4OIQfvjJnzhy6gat7bt2Y6h0p7Ln1fP3116tXr96x YwdqLl7xh3/FA7M4QfGaGhwUe0MdUJgySZN/X8r2s60jPLSvpTIegm1di2kP FSsSESHQBAaKaEdnR9+kpx2/++67cw5DWrhSk+AQEfuBGWlfAaS19XOae76Y tSEOsWfkMe2eha1jz8KDcAjkQEwe0WRr166dOnUqfcXmyZTwkXENq8TrKHuL oVGT4OLDQYMGCTMlnNq607RvdRbnpGPGtBpWtQ2/WW9eW4+Pjzd9EatpYJi+ KnD37t0YEovlRlaYvm5d3BaHzsa3tlrZutUh+vbt688lc+eCXUD74ImOkLbu SGHPrccUbRI4F1zH2KpVK9OSX375pXZg7GdbP6e5iIQs5Gi3bOsCm7e8Nvkn RTtNGrt27TK+JbJNkCaGbitWdFihfcscMhg9q2JFutu6VeJ1lL3RWOLpYC3i FYva+JSxdactaHUW9KlMzJhWw7S257xo1pvX1s8F3+wnXtxHIKH98ccfFDC6 57sx7aK39xDNmjWj5/2PHz+ue9Khbdu2yPz0khnsyngR/pzm4q3p3XOEDV1h 06ZQjLswRtUFM0YFyJPa26DU0CimuzeKpqSvaF+zQ0yYMIF2ZS+XEcl2R8iN GjVK945i5PClS5fSlXmrOhPyCsNDSR/jK3eoMFTVWY9YDaudVgvrQTxoBf/8 88/hjMYaGt/qjJPFSRlf7m1VPfFWN9P9a5G5QuLuKOLNJ6Y/Z+OVtjZtTa+1 Ec/ZpSMhRTbtoQSmWjgFXT/t0KEDSopM7jRpoPPSbzP16dMH03DY0NGjR2kP undbnQve+dJO5zHmjI2NFYtwdKug4T6Idt2TYqgAIh/zX/l3Q7lAMntYJV5H 2ftccPgNi8QUGLN1xDCmyf/75901K1euFMXEeidxy8O0rZ22oNVZEDIxY1oN Y22JMJv1prb1c8G7VJAUjomMZ1z1pAOZDSIjcrBnXathYoJxMkZl27Zt0yU3 b0Ed6K2qAP9J05tfIXHU7oil/fv3o9pILKb2bY8yhc/9e0aJCME5btmyJeQQ FwXi4uKQbVA+7WqYRn0N8Uz3KzHOT9NkflMQvsgIgL1792L4hNmx1Zujwglp JHm6OK99O7GA7g8irWGmL9max44dw1fQPVFt05mI58iLbJV4HWVvI+KhD3q1 lAsctaCNfRAyMeMUd816s9s6Ew63qsgyb71LL9JIc7HSRveDBZGJrwI7MTHR +LZP8QMTMTEx6VKr8FEmMoZAmErohjeQVPyYkYtZxq0N23okc6uKHGm2Ln6v rUWLFva/OBAh+Cqw6e2+vXv3HjduXGxsLL0rVVz4vXktSZnI9LgQtBo+fDjU mzlzJpQUC36076JhCLb1SOZWFTnSbF0spXP0Y0a3ML4KbPHSfh3wKdOnom4W FNu6KTB6NXccbi7Y1iOZW1XkJUuWdO/e/YsvvjA+pJDupIXmmAN2D2J8MUJk 4qvAjouLw3CrR48enTp1+uSTT7p06TJkyBCMPH045nSEMpGTk5NjYmIGDx78 2WeftWnTBsOh3r17jx49Wvuby4wWtvVIhkVWD2uuABZZASyyb2Fbj2RYZPWw 5gpgkRXAIvsWtvVIhkVWD2uuABZZASyyb2Fbj2RYZPWw5gpgkRXAIvsWtvVI hkVWD2uuABZZASyyb2Fbj2RYZPWw5gpgkRXAIvsWtvVIhkVWD2uuABZZASyy b/kfwzAMwzAMwzAMwzA+Jr2vHPwLqlIqk5awyOphzRXAIiuARfYtbOuRDIus HtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2 HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuA RfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZc ASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2Hsmw yOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYt kWnr169fP3r06N9//51G+7ciJSXl9OnTkoWvXbt28eLFNK2PU5FRpaSkpBs3 bsgUTi+RHZGcnHzlyhWVR3QR2OfPn0+jytyq3CyOk3YtqyCwbwqRkazgJi6+ iMR16dIlDwurzIeubb1Pnz7/DVKlSpVTp06li63v27fvZVtGjRqlLY84Hzly ZIkSJe68885AIHDbbbflz5//o48+SkxMlJRr7dq19kcE7733niiPoFq2bFmL Fi3KlClz7733BoJkyZIFus2cORMNbTwErLxz587ly5fPnDlzhgwZSpYs2ahR o927d9tXDAfCocuWLbthwwbJc0mV65gYh0yYMKFatWoPP/zwHXfcgfpnzJix YMGCnTp1OnjwoLF8+CKbcuzYsddffx3nOGDAAN1HTZo0CdkoP//8s6gelG/Y sCGEzZo1K2p4++2349Tef//9/fv36/bstLllkE+Gy5cvr1u3LqRGJXPmzPnK K698/fXXjo4VsYQU2WnLOk019si3bI8ePWwOitwrPMtRYHuC5yJrcZfQtF8f M2ZMhQoV7rnnHkiRJ0+eSpUqLVmyxP5bO3bs6N+/f7169YoUKYLEhS8+/fTT YRZOo3xojztbx1DwvvvuC/xDdHR0utj65s2bA7a0bNlSFMY+S5cuLT4ihyIg OMxXRq6YmBj7I4IHH3xQlE9ISLAp2bx5c93+MReGoRtL5s6de+PGjTIV+/HH H2VOhJARuVatWlb1z5Ur1/bt27WFPRHZyIULF5566inaz7vvvqv7tHjx4iEb ZeLEiVR49uzZVmVQwwULFmj37LS5ZZC09cmTJ2P4ZDzcxx9/fO3aNUdHjEBC iuy0ZR2lGnsctewbb7xhf9w///yTSjoKbE/wXGTT7zpKaAQ0ef75500Ph0GO 1bfQLnfffbeuPCw4nMJplA9D4s7Wde1VtWrV9LX1F198sYkZ06dPF4Xr1KlD hdEBV69effXq1S1btvTu3RuT4kBwzCw6iA1xcXGmByLy5csXMLN1DJvffPPN gQMHLly4cNGiRVFRUXRQEBsbq90/JqS0HbXFR0uXLu3SpQsFQ44cOeBuuvrM mDEDI0b0fRzCRS+Qt3XMLDp27Dhp0iSEIv599tln6XAYhWoLeyKyjuvXr9eo UUMEm9HWe/bsadUimBPRt3S2nilTJsxrMEWaP39+t27dHn/8cSqGGh47dkzs 2WlzyyCjOYZwVB/MMgYNGgQlUf9y5crRxj59+jg6YgQSUmSnLeso1djgtGXJ 1rNly2ZV1b/++otKOgpsT/Bc5NSwExpRu3Zt+i72gxk6UtB3331XoEAB2vj9 99/rymNqjxkWfZo1a9YWLVqMHTsWA6ERI0Y0btw4nMJpkQ9lcGfrlOrvvffe atWqkW3t378/HW09ZJ9C8JM51qtXT/fRmDFjaCfoF+EoefLkSbr2hVgSGxMT E5s1a7Znzx5d4Xnz5tFBERVi45EjRyiYsQft9Xl0UiocHR2t289DDz0U+Dee 23q/fv3QKRCQ2o1XrlwRuQgnThvTSOR27doFNANdo63b0KlTJ/rWpk2baMu6 deswrDp+/LiupOiqOFmZPZs2twwymjdt2jQQHM+vXbtWbExOTi5SpAi2P/zw w5LLGyKWcG77mrasfKqxx2nLkq0XLVo05J69Cmx5PBc5NeyEBjCeoS82aNBA uz0pKYmuMOfNm/fMmTPaj8SFjgoVKoS8YSFfWIHpWOHC1g8fPnzXXXehSo0a NZo2bRpVD1NRP9u6GCR/9tlnVjsx3rR1BAwaO8mQIQPGYyELX758mQ5avXp1 sRGjONr4xx9/aAujp2Nsj+0VK1bU7Wfw4MGfBXnnnXfSyNatwEHpiBiT05a0 EHnkyJH0RQyJqcvL2/rBgwcxecFXMHoPWTg+Pp4O1L59e5mdO2puLSE1Rzag G4I1atTQfSTUWL58uaODRhrhBLZpy3pi6y5aVt7WrXAa2PJ4LnJq2AkN4DTp i8aVP8gh9NH48ePFRmRXuk4Ou8f4yn7njgorMB0rXNj6iBEjqEo//fQThkC0 EqxMmTJ+tvULFy5Qhi9WrJhuefmUKVNoJ+7WZggZaWBWv359mfLr16+ng3bv 3l1srFq1KrZkz57duJQO471A8KqI6So7sHLlSsW2TrXFAE+s7fRc5EWLFtHl C0y6U/8ZycvbesOGDUm0Xbt2hSy8fft2qmHnzp1DFnba3Lrv2msuYmPIkCG6 j3bs2EEf9ejRw+lxIwrXgW3Vsp7YuouWDd/WHQW2IzwXWYu7hAYqV64cCN6y NH506NAh2icmpGLjnDlzaKPx4rwRR4XT2nRscGHrFSpUQH2QY1NSUvAnJKIa btq0Kb1sfcyYMWiyI0eO6K4Va6H7BaBUqVIJCQm0EWo/99xz2PjAAw+Ec2GT 7kpkzJgx5DUcDIRiY2MffvjhQPD+Gv4UHz355JPYiPoYv9W3b1+qvLjirUOZ rWNcAdlbt25Nh+vdu7f2Uw9FxiwjW7ZsgeBcm77lyNbxdcwFAsGVSDLlx40b RzXXjuStkG9uIyE1FzdoTFfU0Hpa42JLRotrx7FqWUepxgoXLUu2XqhQoePH jx84cODo0aNOF0w6CmxHeC6yFte2TovlsmbNakw1yF20WLFKlSpiY+PGjWnw f/78eUzwMVfFpP7bb79FBYxSOyqcmsamY4NTW9+2bRvVs0OHDrQFp6bbot7W BbfddlvevHk/+eQT4xNhhw8fLlu2rCj58ssvT548uVKlSvh/gQIFnF5K1bJu 3TraZ6tWrWyKDRw4sHTp0vQoBFVg69at2gL58+fHdkSC8bvi9rqIDR0KbP3Y sWMYCefMmZMOhIEoPF0Xll6JjPSFmMe3sDcx0HVk66+88gpVElUKWfjSpUuP PvoolT916pR9YcnmtiKk5iIPm47kSX8kRheHjhzcOY5NyzpKNVa4aFnjSngY 0zPPPIPpnsxj6Y4C2ymei6zFta23adOGvgirMn4qsorYAoun1qT/aMFoKiYm Rvt1R4VT09J07HFq6927d6cabty4kbZgzv7ggw8Ggmsaaf6ejrYuQBhrF6UQ 2O3999+vK5k5c2bT56/locsXWbJkOXHihE0xcbeItBoxYoS2Y8IfrdZXAAwI 6Yvi+WsdCmwdJbW6oZ6mYRm+yBcuXChTpgxFvlZSeVtfunQpHbdjx44yR8SM nsq3a9cuZGHJ5rYipOZiicWOHTuMn5II5cuXd3HoyMGd49i0rNNUY4qLlrV5 wK1GjRpWt+QEjgLbKZ6LrMW1rYvr25gg65bGbdq0iVbNaRcpPfbYY0JSTMOR c0qWLElLIALBu//aZwMdFSbSyHTscWrrjzzyCGr1xBNPaDeKVQqLFy9Waesn T57s378/lMQYA4XXr18fHR0tnr3KlSsXJn2iMP5PH6Fphg0bhpYVIhcrVkys lHaKuNvStWtX+5KzZ8/+/PPPmzZtikigr+A/Z8+epU+vXr1KE3lT28IYj76S jraenJyMQR3aunbt2vSABgJ7zJgx2jLhi4xMRakse/bsuvG2pK1jgES3M7AH mXf6IYSohqVLlw75Dij55rYipObdunWjQ5hOA+n2Ddu6PS4cx75lHaUaK1y0 7PTp0zGkX716NfrC1q1bly1bBoMWPtKlSxebwzkKbBd4LrIW17aORIpJMX0X GaBhw4ZRUVEffPABPEvkorfffluUp8fPMc8aP368eFrw0qVLX331FRXGCEQ8 huaocGqamU5IHNm6kLp58+ZbNCD2aPt7772n0tatQDWoPhi50RbskC5xP/74 4+JiFPbfoEEDMlPMlFetWuX0QAihokWLUr9OSUmR/+Lo0aOphtrFG9gJttSs WdNYXiyUtXopjeIlc0lJSSVKlAgEH9UROcoTkTHxoROJjY09829o57Vq1aI/ raYqYrjet2/fkCeCvkaFCxUqFDIzu25uLSE1/+abb6hK8fHxxk9z586Nj157 7TV3R48QnAa265Y1phobvGpZfJ2eDitSpIhVGUeB7Y40Fdm1rQPMlejmtQ66 Ag8+/fRTUSValGv6sjvxeCymq04Lp6aZ6cjgyNabNWtm1EoLhpFevUg2HFvf tWsX1adt27a0ZciQIbQF015dYXHDq3Llyk4PJB4/NC5tDQldZ9a+mIjeloah prHwgAED6ECHDh0y3Zv6lfDi+VAISFs8EXnNmjX2MSYwvfKJkTO9dyJfvnxi OG2FUBUTpQMHDoQ85XCaWxBSc/Gup19//dX4Kc0XPvzwQ9cViAScBrbrljWm Ghs8bFnMN2lXuuvMhNPAdkeaihyOrRMrVqzo0KHDW2+9VadOHUzYIX5cXBzt U3uNkS6SmOYlNBOVFwuDHRVOI9ORQd7Wk5OTaTppj1cvkg3Hcf7++2+qjLhg i//QFuNKcozB6KIWjMDRUS5cuCBelCT/owACcatdXIf/73//iz8LFy5sLExv sQCXL1823Zt6Wxe32kVC80RkeVtHSePXBw8eTJ+OHDnS5ig3btwQd45KlSol 8wKuMJtbEFJzDOCpYsaHaI4fP04f2V99ZRwFdjgta0w1NnjYsvApKq+7nu8i sF2TpiKHb+tGxMJj7TVPumJfqFAhY/k9e/ZQebEywVHhtDAdSeRtfcaMGVTJ vn37xhtAK9CFBa9eJBuO44g3MIiHQOvXr09bTF/WR5eGMMtzdJSePXvSPsWL SR1BS0eyZs0qLiaL90EZF29TDTFWtNqbelsXy9IGDhxIWzwR+dq1aycsoJUn NWvWpD+NT5Rg5ElvUcDQyGadMLKKGFOhFUznO0bCbG5BSM2R4a0ezRN3u4zj f0aLo8AOp2WNqcYGD1sWvSAQvAWmjXN3ge2aNBXZc1uHGjSueOmll7TbKeve cccdxqyF+T7VQVyQdFQ4LUxHEnlbf/PNNymQYDqmBeiBQa9eJCsTM7NnzzZd CiJ+nUSsSxw6dChtwX90hTGgpZfm6R4tGT16dKMgq1evNh4CtkK3t4oVK2bz JOnChQv37t1r3I59UgfXPqUu3lahSxHi8g66htWB0sjWk5KSkHCMj+hiUiAe 8RAP4Xouso6QS+bE7a0ffvjBqgy6GA2oQN26dSWXEkk2twwygU2v+smTJ492 nA/N6am9bNmyGX8dgNEi7ziSLSufagirwHbUslu3bjV9oDUuLo6emnnqqafE RneBHQ6ei6xFJqHJZ4+//vpLvJ5dVxgNR9s/+OAD3bfEL0qItRCOCrvIh14h aevihbFvvPGGVRnx9rkBAwaosXX0AnQQmN2qVatOnz59+fJlBPxrr71G1Xjm mWfERBjeSnGVKVMm7RWwxMRE6gu33XbbokWLtDsXvxegW+xNiJm1/Ut9MRbC OKdevXpz5szZvXs3QvrIkSODBw8WP9I6a9YsbXlahwbHx5j27NmzGIqvWbOG BpnYaLyxjiRwNoiIt9jYWNoik/lDirxlyxYaUqLOGF1gxHvx4kX6vUU6XJky ZcR8wXORddjbunhVbOnSpW1e8iBeEIFiixcvXmKG8aKZZHPLIBPYaEQ6HIbK SOw4HeSBtm3b0kbjL0owOuQdR7Jl5VMNYRXYjlqWbs6++uqrMTExO3fuxOga kTlq1ChxM1Tbm9wFdjh4LnKqw4RmJTJMfMqUKThZ5Ftk3WnTphUuXJhKmj4+ LKTr0qULLcg5f/58hw4daCP82l1hF/nQKyRtXVg2qmdVBqZD7/B58sknldl6 QIN40wu47777dL8ZKhZIB4IrSDE+gbY0VgHdunXT7dzGcf73z8sPy5UrZ19D usRhWkPQrFkzXXmYeI4cOehTjAfEb//hi+Jatxbxs0RGMDC2r1uqtK1bgcEJ so22vIciG7G3dbEmWaxENeWFF16wOSNixowZ2q/IN7cMMoGNBC7WRAWCT81o m9Vq2SQjkHQc+ZZ1lGpSrQPbUcuKNVfGgwYM76NzEdhh4rnIqQ4TmpXI4iWx WjAt6tWrl+mAH/4rnhlE1s2fPz9dSgWPPPKI7iFZR4Wd5kOvkLT1l156KRC8 RmS/0F0MX7du3arA1vv166f9NVsCIfT+++9rX8oqwDRT/O6YoGjRogsXLjQW FhdVxL0SQYMGDeijFStW2Ndw+fLlderUET/DKsDoce7cuaZf2bZtW6lSpbRd OG/evFOnTjUtXLBgQYtOEChevLh93VIlOiYaonfv3kaREcmYWZjeM/JKZKuT 1f0wE4ExOXUuJDf7ndC6RHt0v5Yr39wySCZD5J+oqCitm2DMjIlbyB+YYFKl RZZvWaepxiaw5Vs2Pj7+nXfeESYigPcZs4eLwA4Tz0VOdZjQrETW2XqePHmq Vq1q9cYP4vDhw9WrV9c1bvv27U2fpnFU2FE+9Ar5e+uKkb/CA3PZvHnz/Pnz Z86cCU+0WisuQKMgwCZNmoRp3b59+0K+qSl8MERPTExctWrVtGnTfvnlF5nH SM+ePYshATpvmk7N5EVGfZBkIPKsWbMSEhJC3rlTL/LNgrzmqUEL2LlzZ0xM zPr16xXcLb1lcCSyPE5TjQ3yLXvlypU9e/asXLmSsoe7dxumBWkkcvgg22za tAnJE8nH0TP7Z86cgQvPmDEjLi4u5HJ9R4UV58NbwNYZ17DI6mHNFcAiK4BF 9i1s65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwB LLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwBLLICWGTfwrYeybDI 6mHNFcAiK4BF9i1s65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s 65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwBLLIC WGTf8j+GYRiGYRiGYRiGYXxMel93/xdUpfS+mHGLwyKrhzVXAIusABbZt7Ct RzIssnpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApg kX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVX AIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIs snpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L 23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVXAIus ABbZt7Cth8O1a9eSkpJu3LghWT45OfnKlSuShVNSUk6fPu22alI4Ffny5ctn zpwJ/7gXL16U1+EWw6nmTmPMW3Dcv/76K2QxRw3qw8BOU5G9Ot+06zXuTv+m SNFOcSSyb/OYI1tv1qzZfzVUqlSpSpUq1atXb9Gixbx58+BZ6W7rx44de/31 119++eUBAwZot69du/blULz33nsyh0APnTBhQrVq1R5++OE77rgjEAhkzJix YMGCnTp1OnjwoK4wGn3mzJkNGzYsWbJk1qxZUfj222/HF99///39+/frCqNb LVu2DGKWKVPm3nvvDQTJkiULpMZOrl+/7vr0rZAR+dChQ0OGDHnxxRcfeOCB DBkyoErZs2f/v//7v+joaJkqaTlw4ED9+vWLFCly2223QbQSJUq0bt3aOE5w 0Vg9evSwKYwoRUTZVGzYsGFUEgLaFEMDoUzZsmU3bNjg6MS1yGguH2MeBrYA SX7q1Klt2rSpWLFitmzZcPRMmTLFxsYaS0o2qKPA9uSM0lfk8DuyFkmRdcyY MQOB2rhx4/BP3wqnKdpR9wlZuEmTJiEb5eeff5asmyOR3bWIJ9lDEke2/uST TwasQQzjfNPR1i9cuPDUU09RZd59913tRzExMTY1Jx588EGZo9SqVctqD7ly 5dq+fbu28OzZs60K33nnnQsWLNAWTkhIsKle8+bNXZ++FTIiP/7441ZVev75 5+UHq99++y0ym3EnefPm/e2337QlXTTWG2+8YV/+zz//tKrYtGnT0D2p2O7d u21OQVTsxx9/lDxrIzKay8eYh4FNnDx5Eu5j3Mm4ceN0JeUb1FFge3JG6Sty mB1Zi7zIWs6fPw/7QLFnnnkm/NO3wmmKdtR9QhYuXrx4yEaZOHGiTMUcieyu RZyefpi4sHU0ersgGM9jNIjxnjhNzOnSy9YxBq5Ro4YQWedrcXFxTazJly9f wKGtY1jbsWPHSZMmYViOf5999lk6LkZu2sJk65jsYML+9ddfz58/v1u3bsIo c+bMqZ0eUjbAdP7NN98cOHDgwoULFy1aFBUVlTlzZipvOmOSOX0r5G29VKlS qDkc8Lvvvqtbty5N4kCXLl1kDoQBKs0IcuTIAR02bdq0evXqjz/+mPy0WLFi 2uGBi8YiW0etrL5ldSUZE7G77rpL6GZq65j49O/fH4dA04TfMeUdRybGPAxs gHb5z3/+Q0cpX758r169Zs2ahdNv27at7pQdNaijwPbkjNJX5HA6smuRwd69 e0eOHInGwgScDhTS1iXzmCmSKdpR95Ev3LNnT6sWQYKi78rYuiORnbaI09P3 Che2/sQTT+i279mzh7IBZqCYFqWLrWOYgQqQ5vK+lhqcntDlcSgvU75fv36w tqtXr2o3ojXLlStHh8YOxfZ169ahOx8/fly3E4zYqTB2JTYmJiY2a9YMYuoK z5s3jwq3aNHCqlbuTl9G5Pbt22M0orvvhgRCzl6oUCGZA1HkZMyYcceOHdrt PXr0oAp/+eWXMvuxaiyy9aJFi8rsRICzuO+++wIaTG39oYceCvybtLZ1RzFm hdPARhOja6M8xjkjRoywv9PqqEHDCWx3Z5S+Int1vk57DSaSukC1sfXwT18y RTvqPp70tU6dOtF3YbshCzsS2UUe8zZ7SOKJrYO33nqL6rxr1y71to4xKh19 7NixJKO8raOLoXyGDBm2bNniVsX/z2effUZ1wNg+ZOH4+HgqDNMMWfjy5ctU uHr16qYFXJ++uwUMRM2aNemgKSkp9iXPnDlDo9lGjRrpPrp06RLNLDAslDmo VWO5sPXk5OTHHnssEBxjDx06lM7F1NYHDx78WZB33nkn/I4ZjuaOYsxpYIsb Rn379rUv6VWDhgxsHfJn5E+RHZ2vC5H/+OOPz/7hgQceCNjauhXypy8psqPu E35fO3jwYKZMmfDF2rVrhyzsSGR3Ye9t9pDEK1uvVKkSPnrkkUc88XRHtr5o 0SK6voFBWuo/oyN5X6MZbv369cPSMTW1atWqgeBM5++//w5ZePv27dTEnTt3 Dll4/fr1VLh79+7GT8M8fdfZj650Ic4vXrxoX3L58uVU/2HDhhk//fDDD+nT kAt1bBrLqa0jwb7wwgv4Sp48efbv3y+mOfb31leuXJm+ti4fY04DG3Pz0qVL k4a6GZwRrxrUPrB1ODojf4rs6HzDFPnFF190Z+uOTt+RyI66j+u+1rBhw0Dw DggmmCELOxI5zBbxJHtIEr6tYwwzZMgQqnDPnj0V2zqmvXQ1GGMzumzoyNfo BlPGjBmN69IluX79+ubNm1u3bk0K9O7dW+Zb48aNo/Ljx4+3KZaUlBQbG0vj QBgQ/tQVCPP0XWe/a9eu0YFkJmUrVqygkx00aJDxUyhGn65bt85+PzaNRbZe qFCh48ePHzhw4OjRo6ihza6o7999993ItKmaq5f+tHUXMeY0sKEY7TwqKgr5 fOPGjdOmTRs7duyCBQsOHTqkKxx+g4YM7DDPyG8iuzjfMEV2ausuTt+Hto58 SE/rfPzxxzLlHYkcZov43NazZMlSJUjlypXLlSuXO3duqm2vXr288nRJW0cu omtNZcuWFXNGeV+D/lTzVq1auZDu2LFjUCBnzpy0k0yZMqFlZZ79vHTp0qOP PkpfOXXqlGmZgQMHYvYkVmi//PLLW7du1ZUJ8/RTw7D1SZMmUcVkbiJg4EeF 69SpY/x0woQJ9OnixYttdmLfWMaV8Ei2yGlTpkwxLmJBoAaC1xnEyiXf2rq7 GHMR2OIriCXRowlMSBs0aKB1onAaVCawwz8j/4js7nxTw+418rbuOo/50NZf eeUVOoXDhw/LlHckcpgt4nNbtyJ79uxI8jh3NbZ+4cKFMmXK4LgFChQ4ceKE 2C7vaxUqVAgERynarzuSTnv69erVk7yJiZEkfaVdu3ZWZcSNmEBwke2IESN0 9hT+6ae6tfWdO3fSJQL8K9l9ihQpQueC4NduP3/+/CeffEIfLV++3GYP9o1l 84BbjRo1tE8KT506lbb3799fbPStrbuLMReBjbm5ri+XLFmyUKFCYkvFihUx HBXlXTdoyMD25Iz8I7K78yXC6TXytu46j/nN1pcuXUpf6dixo3ytHIkcTov4 3NZz5crV/h/atGnz0UcfvfTSS+IpIWRRBbaORE2ZHPln27Zt2o8kfW3OnDlU 4a5du7qTLjk5uXv37hChdu3a9OjK7bffPmbMGPtvwU3ouBjD29y9mj179uef f960aVNkVyqP/5w9e5Y+Df/0CRe2fvTo0cKFC1OVpk+fLvmtZcuWiVX6SDUI m7Zt21avXl08KBcILra0+nrIxkJNYM2rV6+GGpgN4XAYMt1zzz30LfEU3po1 ayhQddfofGvrLmLMXWCLsGzYsGF8fLzYvmPHDho9BoLX58V21w1qH9henZF/ RHZxvoJweo28rbvLY6k+s/UbN26QPSElOnqnnyORw2kRn9u66ZK57du3P/LI I1TtBQsWpLWtr127lo4VGxt75t/kz58f22vVqkV/mr7T6erVq0WLFg0Ehygh F3LLkJSUVKJEiUDwET8baxg2bBhVG/Mg+KPkzkePHk3fEiswwzx9gdOOiYkJ rR4H/fr1k/8iiI6OpkeBtCCBZMyYMRC8JG41yHHdWLAnOiLG2LSlcuXK+PPp p58+deqUVrSvv/6a6rNhwwb8afWQe/oumZOJMddaffHFF3Rq+/bt032EQM2R I0cgeH1eu911gwqMge3VGflTZJnz1eFaZHdL5iTzGOErW58yZQqVD/kchxFH IrtukZvR1sGsWbOo2p06dUprW8e0KyAHHND4dYxF6dMhQ4Z4peT8+fNpn8b3 cREDBgygAg8//PCBAwcc7ZxmTLBs+jPM0xc46pgHDx6kbBYIro10VH8Co2gI 3rhx4xo1amC+jBkiTITWHeXLl8/qW+E01ttvv03fpVc7vvTSSzKiwf1N95bu K+FDxphrrSZPnmwTMC+//HIgeMtSt0jeXYNq0QW2V2fkT5FTJc7XiDuRXa+E D3n6Av/Y+qVLlwoUKECCyPyEgRFHIrtrkZvU1v/44w+q9gcffOAfW0dJ3Xcv XLggXgylvV0YvpJ0xLZt2+o+unHjRvv27enTUqVK2b943BRxh44u34Vz+ro6 S3bM7du30/I8DEcxt3VafyuuXLmSN29e7Pa1114zLRBmY0VFRZEONPWQtHUU M91butu6TYylhqfVr7/+SnvWvh9J8O6779KnIXNmyAbVoQtsHa7PyJ8ip4Y6 X0lkRHZt6/anryvpE1sfPHgwFR45cqR8fexxFMkyhW9SWxfDPE+WxNvHzLVr 105YcP/996MONWvWpD+NDzphpkn1lHxjsCRiwcbAgQO129H3RV+uUKGCu19A o/U5WbNmpYvq4Zy+FsmO+csvv9AvVmTMmHHKlCku6m9Fv3797IcfYTYWvTPn zjvvpHVKKSkppqKJJzQxV8WfVldW093WrWKMCEerkydP2iTz559/PiD3EtqQ DapDF9g6XJ+RP0VODXW+ksiI7NrW7U9fi09sPTk5mbJT4cKFPfw9NUeRLFP4 ZrT1o0eP0ussqNppbes22K8ZQ9KmOyPFihWzt7zRo0c3CrJ69WqxMSkpafr0 6cb3dWA+XqVKFTr9ZcuWie1//vkndWRQt25d+7uNCxcu3Lt3r3E7KkAPYz73 3HM2Xyc8XzIXHR0NWwwEX4Nsv1g9NfiwDInWoUOHkEdHnN99993Yc6VKlUwL SDbW1q1bExISjNvj4uJofctTTz1lXxNfLZlzGmNEmIEN6HeC7rrrLl31oC29 76hGjRr2p2bVoO4CW/6MjKSvyE7P16pFTAnZawh7W3d3+jp8YuviVbE//PCD TbG0ENlRYZ/besGCBRcEwfQcSo4cObJZs2bi3dqvvfYaJju+tXXxMvbZs2fb 76d27dpUUrsodMuWLYHgM2WDBw/+9ddfMfW+ePEi/W4jFS5Tpox2xFitWjXa jjHP4sWLl5gh3r385ptvIn/Wq1dvzpw58BfkjSNHjuBA4rcdZ82aFebp6wgp 8u+//x74h6FDh5rWHzqI8nBYKmy8x7RixYqNGzdeunQJokGxVq1a0cO82bJl w1FMjy7ZWDTXfvXVV2NiYnbu3IlkBUlHjRqVK1cu+vqiRYvsdbC39QsXLpwN gpinYrGxsbQFH9nv2UhIzZ3GGBFmYKcG34FGLVK0aFHxW1SYfdBDPRja6cZO 8g3qLrDlz8hI+ors9HytWiTVYa9B5J/9h/LlyweCA1qxRTsOcXf6OiRTtKPu 47SviVfFIsHaP2vvlchO85i32UMSF7ZuA4YrmK+F7+lpZOv/++dlj+XKlQu5 HxtbtwLdFrai3Qm9odSeGTNmUGFkA+128QoLAmOnME/fVBB7kX/55ZeQ9cfM RZS3sXXxckUtJUqUsHoeRL6xxCV0U91kfgfT3tZpNU7Ic5dE0nGsMMZYqheB TdAbzomcOXOKJwQh6fDhw3WF5RvURWA7OiPTr6ejyE7P16ZFHPUa8ZIoU0Se cXf6RiRTtKPu47Svvffee/Sp/cusUr0T2Wke8zZ7SOLI1sXPeWvJnTs3Rko1 atSAsJ4Yepi2XrBgQdSqQYMGxo+wkeqMEVfI/Yhf99OuCEXFevfuLW43CDJk yNC4cWPjj3qb/nS1DvGus+XLl9epU0f8eqOgcOHCc+fODf/0jYQUedWqVSHr r/0NR/Gue+NaX213yJgx4xNPPNG2bVub8ap8Y8XHx7/zzjvCgwToUJK6RUdH 01dMr52SpKYUL15cZv9aQmruNMZSvQhsAaxBXOUgkHxM7xjKN6iLwHZ0RkbS V2Sn52vTIo56jQhjU2JiYsI5fSOSKdpR93FUGINwuqmB2VPIanglstM85m32 kMSRravEta2r4ezZs3CT+fPnz5o1KyEhQebnXSS5evVqYmIi/HTatGmYLMs/ 3u4ClSKfOnXqp59+whhm06ZNHj6AILhy5cqePXtWrlxJurl7c6AC5DVPuxiz 5/r160iYMKAlS5bYhJ/TBvVnYPu8I6d1rwnn9H2eouVxJHJat4gnsK1HMiyy elhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvb eiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wA Ftm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhz BbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTD IquHNVcAi6wAFtm3/I9hGIZhGIZhGIZhGB+T3tfd/wVVKb0vZtzisMjqYc0V wCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyL rB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/C th7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIr gEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7W XAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7J sMjqYc0VwCIrgEX2LeHbenJy8tmzZ7319HNpbOvXrl1LSkq6ceOGVzvErv76 66+QxaDVlStXJPeZkpJy+vRp+QpANMnCAhcinz9/3ulRGC1qkqFkQDqKMRsc Bbbg77//vnTpkn0Zd13VqcjXr18/evQo6iNT2PPs4R8kw4a4tW1dMjgvXrwo uUOVYePO1g8fPtyjR49atWoVK1bsjiAFChSoWLFi79699+3bp8bW165d+3Io 3nvvPVEe6WvChAnVqlV7+OGHUeFAIJAxY8aCBQt26tTp4MGDLqRDM02dOrVN mzY48WzZsmGHmTJlio2N1ZZBrps5c2bDhg1LliyZNWtWlLn99ttRgffff3// /v26HaLFly1b1qJFizJlytx7772BIFmyZPnvf/+LnSDzGOuAr4wZM6ZChQr3 3HMPCufJk6dSpUpLliyRPAX5jrl8+fK6detCLhwlZ86cr7zyytdffy15FEaL 02SIJkYkly1bdsOGDfYlZQLSRYyZ4iiwtezYsaN///716tUrUqTIbbfdhi8+ /fTTujLhd1VJkXEWI0eOLFGixJ133omjoD758+f/6KOPEhMTPa8SgfRon7JG jRpl9d0ZM2YgDBo3bix/uGHDhtFujx07ZlVGJmxM8TySHYnTpEmTkPn/559/ lq9eqlxwAlh5586dy5cvnzlz5gwZMqALNGrUaPfu3caSnpuOJC5sfdq0afff f3/AAvTumjVrKrD1mJgYqzoIHnzwQVEegxCrYrly5dq+fbsj3U6ePIlMaNzV uHHjtMVmz55tdVBkkgULFmgLJyQk2JxL8+bNdXX4888/n3/+edPCyK4yZyHZ MSdPnoxoNB7l448/Rk6QORAjcJoMRZz/+OOPNsUkA9JpjFnhKLAFCKS7775b Vx5OqisWfleVERlJpnTp0mLPlHXFKWDw422ViM2bN9voD1q2bGn6xfPnz8MQ UeCZZ56RPBYSNXkTMDWdVOmwMcXzSHYkTvHixe0Lg4kTJ8pXTzI4MeOGoRuP lTt37o0bN+oKe2s68ji19Y4dO4qKValSpVevXhhDYhAFwcuVK0fbIY4CW4+L i2tiTb58+QJmto6REk5h0qRJ6Lb499lnn6U6Y8QuL9qmTZv+85//0BfRxBBh 1qxZ0KFt27a6iKXsh9Ev5jWY3s6fP79bt26PP/44fRfTXu0omlIuxkVvvvnm wIEDFy5cuGjRoqioKIwJqbxuCF27dm3a/sYbb2CGvmXLlu+++65AgQK08fvv vw95IjIdE7FKO8yTJ8+gQYNWr16NziLauk+fPvK6ManSyRDhhIkDWhbxQFLb 2Lp8QDqNMSscBXZqcKaGMQN9itl9ixYtxo4dC/cfMWKEcfoZfleVEblOnTq0 Q+QuRPXVq1fRg3r37k1S4BQwbPawSoRwrhdffNE0cU2fPl1bfu/evSNHjkQ7 YrpHX5S09bVr1951110iV5vaunzYmOJ5JDsSp2fPnlbJv27durQfSVt3FJyv v/46lUT8oLMsXbq0S5cuNCbMkSPHhQsXtIU9NB1HOLL1devWUdNkz54dihkL 4DRhK2ps3QYMQenCIGJJbOzXrx9cD51XW/LKlSvCofAtmZ0jBp544gmUR69B u9vfK4FiyJnHjx/XbRdRhCqJjYmJic2aNduzZ4+u8Lx586gw4k1sRCKljQ0a NNAWxmDyvvvuw/a8efOeOXPG/lxkRG7atGkgOH9BohAbk5OTixQpgu3INrfk Tca0QzKwH3roocC/sUqGjgLSUYzZ4CiwUzWz+woVKthfpU/1oquGFPmvv/6i VFyvXj3dR2PGjKGjoM4eVokQzqWzbyu+/fZbXRjI2DoGA5QEbGzdUdiY4nkk OxXHik6dOtF+MG6RKS8fnEeOHCEHhLNo71hhZEt7iI6O1pb3KmycIm/rKSkp ojI//PCDVTHUc8iQIelr60hNqGSGDBkw/A5Z+LPPPqOTwvRfZuciBvr27euu eiA+Pp520r59+5CFL1++TIWrV68uNuKLtNF4jwZDTfpo/Pjx9nuWyX50175G jRq6jzCJoKMsX7485CkwAsnAHjx48GdB3nnnHftk6ElAmsaYC0wDG5ZBl7sx 1MSA0PXO5btqSJHFNSjsU/eRMJcBAwZ4WCXdziWd648//vjsHx544AEZW4fC jz32GEoWK1Zs6NChVrYefth4Hsme2DryYaZMmbCT2rVry5R3FJy9e/emGqJd dDvJkycPtlesWFHmoE7Dxinytv7zzz9TTVDz8F077Wwd36JxeP369WXKV61a NRAcssqsgxUxULRoUd0YzBHbt28nMTt37hyy8Pr166lw9+7dxcbKlSsHgpd9 jOUPHTpE5Rs1amS/55Aii0NjqKb7aMeOHfRRjx49Qp4CI3Aa2CtXrrRJhl4F pGmMucA0sOfMmUMbZW4M2SDfVUOKfOHCBUr+8D7dYuYpU6ZQbUOuUXRUJSIc 53rxxRdD2jqGZy+88EIgeMsME08x2dfZuidh420kp3pk6w0bNgwEbzPt2rVL pryj4KTmzp49u3Fxab169ei4MutOnYaNU+Rt/ZtvvqHTt5mq+8HW6XZGxowZ 7S+nQHxEUevWremkMAyT2fnRo0epfFRUFFoEY/5p06bRjRiYqXwlx40bR/ux n1AnJSXFxsbSbTX0U/wpPqLFclmzZjVePcOp0Qq3KlWq2FcjpMji2qxuBRFB 64fl11kxqV4nw/AD0ibGXGAa2I0bN6aMd/78eUymfvrpJ9QQjoNTk1ly6aKr yohcrVo12mGpUqUSEhJoIyz+ueeew0ZMjW2uS7vLHqka5xozZgwa6MiRI/Ku KmPrZGp33303xmmpmmv4Olv3JI+lna27EIeIj4/PkCFDILiaV/IrjoLzySef RGFEiHE/ffv2pcrbXFd3HTZOkbf1Vq1aUWUQA7619XXr1lElUVurMseOHcNU N2fOnFQSg3bIK3lrSey/bNmyuXPnDmi44447GjRoIJMVL1269Oijj9KhT506 ZVpm4MCBGE6Lhawvv/zy1q1btQXatGlDH23bts34dbpeh0ra1ySkyCJLm85c SEOMo+yPwmjxNhmGE5AhY8wpVoGN4WUg+PgY/UdLoUKFYmJirHbouqvKiHz4 8GFaWy5Of/LkyZUqVcL/CxQoYHX/LpzskWq22Buy5M2b95NPPrFarC4Iaeu9 evWiHYp1j1a27kkeSztbdyEO8corr1CjoHEla+UoOPPnz4/tGBAa9yNur4sh opYww8Yp8rYuTh8t7ltbr1ChQiD4HO6JEydsTlnbdvXq1ZO5BU9gTKv9bvbs 2UuWLInWF1sqVqwY8iUGGElS4Xbt2lmVEfehAsH1/CNGjNC97kNcKsRcQ7c0 btOmTbRgJuSNnpAii3tJO3bsMH5Ki2HKly9vfxRGi7fJMJyADBljTrEKbLrV S2BaBNNEJWnNRiC4BsbqgTjXXVVSZOQZ47O6mTNntnmmOJzskWr7DBdSvXZV qhF7W586dSrtp3///mKjla17kscU2Lq8OGDp0qVUuGPHjvK1kg9OuLDVMstU jdSmD8uHGTZOkbd1csyMGTOmxTvlPLF1cZeka9euNsWSk5O7d+/evn372rVr 08MsaM0xY8bIHAJdhg7RsGHD+Ph4sR2uV6ZMGfooKipKZg+YKNncWJk9e/bn n3/etGlTxBiVx3+gvChw9epVzC9Er0R9cNwPPviAVrcSb7/9tv3phBS5W7du pmmBoCu3bOuO8DYZhhOQIWPMETaBTY8DY+Qwfvx48RIzuMZXX31FX8E4XPs0 mcB1V5UR+ejRo/SoERL7sGHDYGSi4xQrVsxqEXU42SM1+JAOhIJTbNy4ETVc v359dHS0eOIpV65cqJXVd21sfc2aNfQ4m+7is5Wth5/HUtPA1sMRB55LV8iR DB29OFE+OJFy6dLWu+++a9zP5MmTbWw9zLBxirytwzKo2hhm+NDWoXnRokWp 9VNSUiS/lZSUVKJEiUDwAS6Z6zxffPEFibBv3z7dRwi5HDlyBGwvfSN70Ncx MLYJUR2jR4+mb+mWwCED031AHXQFHnz66af2ew4pslhQoe37Arp899prr0me CJPqdTIMMyAFVjEmiU1go2PSM0HaVz4KxLNIixcvtj+Eo64aUmRkGLqg+vjj j4v7BfhKgwYNKHVjXrZq1SoPq2QPxCEdpkyZYlXGxtZpAe3TTz+NczmjQVwZ 3rBhA/4UtuVJ2Hhu61bIiCOuXjpa2O80OGEu+LNmzZrGwuLJIONLaXR4GDZW yNv6l19+SdWOjY31oa2Lp02Na7btEQ+Ay7xYSQzJTK8I0fQ5U6ZMpis9BgwY QN/FJPfAgQOOKklDaOMrj8CKFSs6dOjw1ltv1alTBwPsmJiYuLg4OlDI0WBI kcWLoX799VfjpzTQ/fDDDx2dS4TjbTIMJyB12MSYPSEDm67qwHqMHyGu6Lsy y4fku2pIkZElaFcQUPeRWE9iWmHXVbJn165dtJ+2bdtalbGx9ZdeeikggTgj T8JGma2HFAeTa3oNV758+eTfaU84Ck56tR30MRYWvUBmzaFXYWOFvK3PmjWL aoLxvN9s/cKFC+K1ciFvCRkVCNmhBKKhdW/bIN599136VBdaN27cEI+ZlypV yub9zFaI26Ay10jFED3kuDGkyJiw0K6MT38cP36cPurSpUvIKjECb5Ohu4A0 xVGMEZKBTTaBibzxoz179tDXbdaZCOS7akiRhTLGdcvwMrq1ipTiYZXs+fvv v2k/phd4ifBtHcWovCdho8zWQ4ozePBgKoAps6M9pzoMTnrRbuHChY2F6bVd 4PLlyyEP6lXY2Oxf0tYTExOzZ88eCK6aW716tU1JT5bKO4qZnj17kkqOXgJM iIUWAwcODFkYScCmOeihM+0ba1ODI0mRMCtUqBDyzW+m0MKGrFmzhnwoEvun EY7owjaEFBnebfXAyPTp0+mkjPMdxgZvk6GLgLRCPsYI+cCmV8/dcccdxhvo K1asoD3ITFvku2pIkevXr0+7Mr2nT7fzMAH0sEr2iNf42LwFwsbWU1JSTpgh LkpgVo4/xd1JT8JGma3bi5OcnEw/WgS3dbHm01FwipcoGlfaU8xg7i9zUK/C xgp5WwfiDhotKTEWOHDgAPpL5syZVdo6wpVeFYtaWT0Gm5SUBBsyXlPCdEM8 16B7NHv06NGNgmAMo93+1FNPBYJvEtBVLyEhgW7TaF/IhlChbAnq1q1r//KB hQsX7t2717gdFSBvNX1eUgtG1+JN17pqmyIjMr05IU+ePNp5DXSjZ0myZcum ew0yY4/nydBRQDqNMate4CiwFyxYQCU/+OAD3Ufi9d1i8YaLrmokpMji9Wv4 j+6jY8eO0fIz8eSmh9lj9uzZplqJ3wSxeiggVe65dR1WS+ZSHYaNKZ5Hsjtx xB3wH374weboVi3iKDjFW5t0Awxx9QMTTLHRk0h2hyNbx2BPPOmZKVOmrl27 olboBdu2bZs2bdqnn35Kz+Upfie8GEFp3+GsY8uWLYHg8Hvw4MFoAswsLl68 SD/tSt8tU6aMbqQnfkhFd4caLUuLajA8++2332jjmjVr6B3pd955p/a5RfHK i9KlSy9evHiJGcIu33zzTXSoevXqzZkzB90QQ5QjR46gwuIHNGfNmqWtCUx8 ypQp+DpKojyaAONVKmn6CIYRGZFjY2NpnxjD49QQk2hxDPJpo6OfiWRSpZMh Bktng4i0g4agLbpxlKOAdBpjVr3AUWBry3fp0oUu7Z4/f75Dhw60EflTlHTR VV2IjLENzQWQx7Q3mBITE2m4AkkXLVrkukpWumEYjBEykv+qVatOnz59+fLl uLi41157jQrDsnWXSmAKZ/+BfjgMdiy2hHyZj42tOwobUzyPZKfipGpeFYs4 tH8M3KpFUp0EJ6DVbhgDT5w4EaeAdododIEUG7U31j2JZHc4snWA8MAoLmDL Aw88oMzW//fPq2LLlStnU4wUtgI5befOnbqv2IQBvXOewEhGPOSIbjJ8+HBt SXqRoz0zZsygwki52u3iPSFEs2bNdNUQL4nVgtDq1auX5IsOZERGYnn77bfF /rNkySL+X6xYMUfv1mNSpZOh+CU+I5BdV1g+IJ3GmFUvcBTYqUEbFbXCuCJ/ /vx0cQA88sgj2ieSXHRVdyKLtdMAXvbGG2/A0MWvnnXr1i2cKtnYupX+9913 n/GXOidNmiSpsCk2tp7qJGxM8TySnYqTqlkkH/JJCpt8Lh+cqcGRDz0pQIXF b7mitror6p5Esjuc2jqB4daTTz5JwyQBBniY0I0ePfrUqVPKbL1BgwZ09BUr VtgUww579+6t/XllAs2H+abp/TVxBcb0rh+6Gz3soA1RtLiumOlvGesQr4Ra vnx5nTp1xE9kCjAHnzt3rrEOOlvHQLdq1aqmT01aISkyBglRUVHaTpcxY8ZX X301nJ/tiFgkNS9YsKBVwBQvXtxYXjIgncaYVS9wFNjE4cOHq1evri2AAXn7 9u1167JcdFUjkiJj6iR+vkqA2evChQvDrJKVbv369TPuBzq8//77pi92i46O tlHY5gV9uq+b3nlJlQ4bUzyPZKfiYKxC/otBZshq2OdzyeAktm3bVqpUKe2o I2/evFOnTtUV8ySS3eHO1omUlBScILLBnDlz0EE8cXOntu6Us2fPxsfHz58/ f9asWQkJCeG8af/69euIK5z+kiVL5B9CDwlmx4mJiatWrZo2bdovv/xis2dU YNOmTagARqruKuBIZJg7hpfIJOvXr0+jXyiIBNIosFOdBKR8jHnOmTNnkCsw zYyLi7N/aCWcrupIZKR0TApgcOhH+/bts1kx6FX2QErfvHkz9jNz5kykUJm1 02mH6zyWRpGcjuLIB2dqMBgwSIZuIa9Yemg6koRj62lK2mU/RsAiq4c1VwCL rAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6 WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6 JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW 2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMF sMgKYJF9y/8YhmEYhmEYhmEYhvEx6X3d/V9QldL7YsYtDousHtZcASyyAlhk 38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXA IiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIus HtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2 HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuA RfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZc ASyyAlhk3xKZtn7jxg0cwtsd/vXXXx7uUA0uRD5//nwaVSZCcKr5tWvXkpKS EGCeF7bh+vXrR48e/fvvvyXLX7x48cqVK5KFUUmUd1s1KW5Jx0lOTpYXOSUl 5cSJE04P4SiPcfbwLY5svVmzZv/VULVq1TfffLNJkyaDBw/eunWrYltfu3bt y6F47733tF9B0I4ZM6ZChQr33HNPIBDIkydPpUqVlixZ4k46ZKepU6e2adOm YsWK2bJlww4zZcoUGxurK9ajRw+bGlapUsVqgDFjxoyyZcs2btxYvkrHjh17 /fXXsdsBAwbIlJfvmMuXL69bt27BggVxmjlz5nzllVe+/vpr+YoxAhnNT58+ PWHChGrVqj388MN33HEHNM+YMSPE79Sp08GDB8MpbA9cY+TIkSVKlLjzzjux n9tuuy1//vwfffRRYmKiafkDBw7Ur1+/SJEiKImD4outW7c+c+aMaWFYeefO ncuXL585c+YMGTKULFmyUaNGu3fvlqmY54HtInsIkEbwKfrmhg0bZCpjj82p oTlmzpzZsGFDaJU1a1a0yO23345Wfv/99/fv32+6tx07dqCfIrMFgkDqp556 asqUKRinWVVAMo8Z4ezhWxzZ+pNPPhmwBha5aNEiZbYeExNjUxniwQcfFOX/ /PPP559/3rQYuolT3U6ePImBjXFX48aN05V844037CuJihn3j2Et8gY+feaZ ZySrdOHCBXRh2ue7774r8xXJjjl58mQkbWPNP/74Y+QEyeoxhIzmtWrVsoqW XLlybd++3XVhG9DpSpcuLb5LIwQCLr9s2TJd+W+//TZLlizGg+bNm/e3337T FU5KSoKhGwvnzp1748aN9hVLi8B2mj1Mv/vjjz/KVMYG+1ObPXu2Vd3QIgsW LNCVHzt2LHyfCmCgJf4P4KSmXVU+jxnh7OFbXNg6hlsY2mFYjmEk5gilSpUS LYXmmzt3rhpbj4uLa2JNvnz5dB2zdu3aVEn4LGboW7Zs+e677woUKEAbv//+ e3nRNm3a9J///Ie+iGTVq1evWbNmYXLdtm1bY08nW8cw2Kqq2qtee/fuxXQJ +8GYnPYvaesYjdeoUUM0hIe2jqxL+8QUYNCgQatXr544cWK5cuVoY58+fWQO xAjkbR2zm44dO06aNAmWin+fffZZ0hyTYteFbahTpw59pWXLlmjlq1evoo/0 7t0bMz7q9drxJyaq5Ps5cuTAzAs9Al9BooabYGOxYsV0l4sxIaWd4yiYCS5d urRLly5iD3A3q1qlUWA7zR6pwatn/fv3R3cWdhmmrYc8NbJ1zJ2RaSHy/Pnz u3Xr9vjjj1N5tAhm+qIwmoAq9uijj6KH4qOUlBSMQDDbovLdu3fX7d9RHjPC 2cO3uLD1J554Qrd98+bNSAXUUkgC6LMKbN0GDEHpmhX6IG1Bj6DqNWjQQFsS k4j77rsvEJxiWF081HHjxg0ogK/cddddI0aMCHkfk2y9aNGiMjvHDCjwbyRt vV27dgHNDMtDW2/atGkgODtYu3at2JicnFykSBFsx/Aj/Du5EYWM5v369cOY E8aq3QijFPkQEe6usBUYW1Lw1KtXT/fRmDFjaD9wGbGRUgGG8Tt27NAW7tGj BxX+8ssvxcYjR46Q46AvaK8Gw6qocHR0tFXF0i6wrTBmD+Khhx7S9c0wbT3k qa1bty4qKur48eO67c2bN6evoN3FxhYtWtDGnTt3agv//fffNEfAeEC73Wke M8LZw7d4YutE3759Ka6yZ8/+xx9/pKOtU4RnyJAB0w3a0r59e6qb8W7j2LFj 6aPx48fL7FxcGcP5ypR3ZOvQ7bN/eOCBByRtHRN8qhLOhZKPV9kP2Z7WIWBa YXXQ5cuXyxyLIcIJbEQFaY7JpreFxawK39J9hEE7fSRu/mIATLPyRo0a6Qpf unSJTATTQLERU37aA8JbWxgpne4CV6xY0bRWaRfYNhizBzF48GDqmO+88074 tu761EB8fDx9F2lNbKxSpUogePPduByRLpXcfffd2o1O85gRzh6+xUNbB126 dKHGatWqVXrZOr5FA+D69euLjZUrVw4EL/cZyx86dIjqbMxRRpCI6P4jbFo3 P7LCka1refHFF2VsfdGiRTQV6tSpU+o/cwqvst/69etJnCFDhug+wjSNPsIE TeZYDBGO41StWpWmVzJr1B0VvnDhQqZMmQLB6+c6X5gyZQo1tFghhlRMW4YN G2bc1YcffqgbQlNNMNo3LtyqV68emZHxozQNbJsvGrOHjpUrV4Zp6+GcGti+ fTtVoHPnzmJj165daaPx0gdNjatVqya2uMhjRjh7+BZvbf3IkSPUWBiEp5et 063GjBkzaheL0mK5rFmzGq/5IJ/Qig4Md0Pu/OjRo3SCUVFRyJaY40ybNg3j 7QULFmB4YPoVsvVChQodP378wIED2IPkQhEZW8e4nRav1q5dm07N2+w3b948 Ol/jiilA66WbN28ucyyGcBHYCFFMmVu3bk1tgcmvV4W1IO3TV0qVKpWQkEAb YfHPPfccNj7wwAOi76xYsYJKDho0yLgfMTdft24dbaG8gf0YC4tLfLo7BWkd 2FaYZg8dYdp6mKcGxo0bRxXQXmDEoIs2YsCAJrh06RJtF/cftYVd5DEjnD18 i7e2Dh555BFqSoSHeltHJqGjt2rVSru9TZs2tH3btm3Gb9Hl7rJly8rvH4Vz 584d0IBBfoMGDZKSknRfMa6ER9KAWWMSZP8UakhbR98UNRczLG+zn0ggps/y 5MyZEx8hE8ociyEcBfaxY8cqV65MOgeCq6eQsa1uRzoqbOTw4cP08AXx8ssv T548mRZcFShQQHtF+syZM1SmTp06xv1MmDCBPl28eDFtyZ8/f+Dfs0WBuL0u BhKpSgLbFKvsoSMcWw//1ODXjz76KLXvqVOntB+NGDFCrDnHxAqWPWrUKHLP Zs2aabONizxmhLOHb/Hc1t966y1qyt9//129rVeoUAGHzpIli+5VDOJCImYi uqVxmzZtolVzVjf4tGBMq+0C2bNnL1myJGbiYgt2IsbJhM0DbjVq1LB5ntTe 1i9cuFCmTBlKudqT9Tb7iZmXbmWU9ljly5eXORZDOApslNQGTL169XQ3fF0X NgX97v7779dFaebMmY0rUui6LoCJa7efP3/+k08+oY/otinGFVaL8VI1a0R/ /vln2qImsE2xyh46XNu6J6f28ccf09HbtWtn/HTIkCHGPANP1xVzkceMcPbw LZ7besOGDakpf/vtN8W2PmfOHDp0165ddR9dvXoVsw8Rw6gkhrIffPABrQUl 3n777ZCH6N+/PxXGHuLj48V2xC112EDwupb2K9OnT0fuWr169bZt27Zu3bps 2TL0R1pJArp06WJ1LBtbx2CARgs4F931B2+zX7du3aiepq8NocVR3DEd4Siw k5OTu3fv3r59+9q1a9ODZrfffvuYMWPCL2wEE0l6LO6xxx4bNmwYErvoGsWK FcPoV1sYYSyWcCNE27Rp07Zt2+rVq9PlZWLXrl2pwa5H6+tMY3Ly5MlaW1cW 2EZssocOd7buyamJ/FO6dGnjkgm0Nc3NO3Xq1LJly1y5clHhDBkyfPrpp5cv XzbuRz6PGeHs4Vs8t3XxWM2+fftU2jqyR9GiRQPBV3CkpKQYC5w9e5buEuqg a2IAkR/yKF988YU4O91HyIo5cuQIyF3MR1eih2gw67EqY2Pra9eupWrExsae +Td0wbNWrVr0p83VgFSJjvnNN9/QgbR9X0CX71577TWbPTA6XN/2TUpKKlGi RCD4uFDIl7M5KpwanKdT5Dz++OPi0i7q2aBBAzJlmPiqVau0X4mOjqYY1oKB BF0HxreE75C/1KxZ03hcsSKaXkqjLLB1hMweWtzZevinhrEW7QHTamQb3aeD Bw+mT8eOHUtbMN1GGz344IO0Xbt2yJM8xtnDt3hr67BOevEUBu3oHSptXTxd a1x1qWXFihUdOnR466236tSpg+FoTExMXFwcfVFmXiMmF9rHMAV0QSBTpkwy i0vffvtt2pXV8/I2tr5mzRrj+MQU03oKQoosXqj166+/Gj+9++678dGHH35o e6LMv3Bt66ma5U8yLwFzVFhcvEWE6z4Sd0grV66s++j06dP4YuPGjWvUqPHx xx9jDgiboFVn+fLlE8WKFy8eCN6sNx53wIABtHNaqaUssHVIZg/Cna2HeWpC KExyDxw4oPsUCefee++lT3UfJScn0wBPu2dP8hhnD9/ira3PnDmT2rFhw4bh eLpTW79w4YJ4MVTIW0I6xKKdkC+xBIhPKqx9EYTg3XffpU9lfi4BgwoqbDWZ 8sTWUdKmDiFFxgSN9mN8C9/x48fpI5v7CIyRcGxd3D1v27att4VF6BrfXYPc TveMtE5txZUrV/LmzRv49yyMXk9auHBhY3l6XQmgS8TKAluL0+yR1rauO7Ub N26I126UKlVK+2Y5AXIIFTBdWC6GBGLm4kke4+zhWzy0dYSKuLP2yy+/qLT1 nj170nEnTpzo6PQxU6Ye/dJLL8mUR9KjA5mmSnqMzupV0jpq1qwZCF4jtVoP b2Pr165dO2EBLXnCzulP+4fpQoqM3pchQ4ZA8AXOuo+mT59OUhjnd4wN4dj6 0qVLSfOBAwd6W7h+/fpU2PQXCugCdYECBULup1+/fkZvEm9FO3z4sOmexRxT WWBrcZo93Nm6u1PDMEO8/aZChQpWV/b27NlDZVq2bGn8VHTV4cOH0xZP8hhn D9/iia2npKTMmzeP/JFCK0xPd2Tr6Ah0j69YsWKOfjsAY1HxHuzVq1frPh09 enSjILqP6KcZ7rrrLl31EhIS6BUT2lcqbd26VfvkjiAuLo5WHGFvVtWTfB2N Ds9XFtG7RPLkyaOdx2EG8corrwSCd1tsXujNGAmpeVJSEpKe8fonNKc3iQU0 DwI7KkyYBvbQoUOpMP6j2xWmh4j2gMSzSPA7urJaqVIl7XbxWhLdu0fEnBHG ar/n1DRbMucie8jYulX2MMXq1DDEosX5oG7dujavFUJzZ8+enbzYuDZAPJug XffoKI+ZwtnDt7iw9YIFC86dO3fOnDnR0dGDBw9u37699skIJBNEo0pbF3MB 7TurjcDEp0yZguhC5929e/e0adMKFy5MXzR99Eb8NIzunjtyFC0iwkRD/FIV 5ib0yA9m31ofp1uWr776akxMzM6dO5F+UYFRo0aJRaqLFi3S7hwFzv4D/eIV ep/YIpN2PM9+sbGxVFWM4XFq6JLI8xjk00ZHvxvLpEpovmXLlkBwaozOBePD BO3ixYv0Q6KkeZkyZcQVHkeFCdPA3rt3L7lbpkyZtJdMExMTyVkQ87pYXbFi xcaNGzGdxEFxxFatWlG/QK7+/fffdSdFt3cxd8OMGJGMKqHL0EQAG2VegZJG ti6ZPVKD1+qpGy5YsIC+gq5BW4zeZJU9TLE6NfGCoNKlSy9evHiJGcIumzVr RoXR9GJB3fXr18ePH09TZuxEu3NHecwUzh6+xYWtW3HPPfd07twZQR6+p8vb +v/+edljuXLl7EuKl8RqQcD36tXL9JUdNh1T/KpCIPg7SuJpNXQTcZmL0D1G Sv1IYLwRNmnSJBuFZ8yYEVIQz7MfRhpidV8g+FSv+D8mOPLvpGIISVu34t57 79X+loejwoRVYIt3OwSCD2i88cYbMHSap4Nu3brp9iNeEqsF9k3PtemAX9D6 6kBwtTxN6gPBHiFzjyA1bWxdPnsA8WuPRtARdIU9sfUXXnjBpnEJkRMwnBM/ 7pY5c+aKFSu+/vrr9BPngeBPWWGEptu/fB4zhbOHb3Fk6+KngQn0CEQC5rxV q1bFDPTEiROeGLojW2/QoAFVBnMH+5I6W8+TJw+qLV6CYaRu3bpU0nQhMfxX zLhFlBqX8cTHx7/zzjuivwiQIubOnWvcbXR0tE0XxpQ/pCDUkXU/VGeFpMgY 9kRFRWkfSc6YMeOrr76anJwscxRGS0jNEfy9e/fW/vQ5gSEoZje6e9+OChM2 gY1Jt3hAVYDZ3MKFC4370do64uGJJ57ALMzmmuq2bdtKlSqlHdnCa6ZOnWon loa0CGz57CEqYErx4sV1he2zh+mejadm+kvoOjAdFuUhfvfu3emVBQJk6ZYt W1q9NU4yj5nC2cO3OLJ1lchfRpPk+vXrmzZtgpkuXrzY+NSnux3u3r0bO1yy ZIn9Dq9cubJnz56VK1dOmzbtl19+sX+HlUociYzuiakfhhbr16+X+fUQxhR5 zc+ePYth4fz582fNmpWQkGCvuaPC9hw+fBg2h4SPnrJv3z6rx6hPnTr1008/ wVbQreQfP0E9ly9fjl6TpjM1z7PHTcRff/2FSJg5c+aUKVM2bNgQ8jF8+Tym g7OHb4kcW2eMsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjq Yc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzr kQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJY ZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0V wCIrgEX2LWzrkQyLrB7WXAEssgJYZN/yP4ZhGIZhGIZhGIZhfEl6XzNgGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIa59fl/PT5Oiw== "], {{0, 280}, {669, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{334.5, Automatic}, ImageSizeRaw->{669, 280}, PlotRange->{{0, 669}, {0, 280}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.7796243132219143`*^9, 3.780051245030427*^9, 3.780052516917241*^9, { 3.7800525540948343`*^9, 3.7800525694240294`*^9}, 3.78005418749431*^9}, CellLabel->"Out[5]=", CellID->994933296] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Conversion sparse results into datasets", "Subsubsection", TaggingRules->{}, CellChangeTimes->{{3.780052353543741*^9, 3.7800523982274513`*^9}}, CellID->893194145], Cell[TextData[{ "Convert the ", Cell[BoxData[ TagBox[ ButtonBox[ StyleBox["Association", "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/Association", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " obtained with the option setting ", Cell[BoxData[ RowBox[{"\"\\"", "->", TagBox[ ButtonBox[ StyleBox["True", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.854902, 0.396078, 0.145098]}, { "Link"}]], ButtonData->"paclet:ref/True", ContentPadding->False], MouseAppearanceTag["LinkHand"]]}]], "InlineFormula", FontFamily->"Source Sans Pro"], " into 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", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.780052579784069*^9, 3.780052648116634*^9}, { 3.780334125182276*^9, 3.780334157322371*^9}, {3.7803364198619933`*^9, 3.780336421998207*^9}}, CellID->129638089], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "30"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"SeedRandom", "[", "32", "]"}], ";", "\[IndentingNewLine]", RowBox[{"sarr", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"CharacterRange", "[", RowBox[{"\"\\"", ",", "\"\\""}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"RandomWord", "[", RowBox[{"\"\\"", ",", "5"}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomReal", "[", RowBox[{"100", ",", "n"}], "]"}]}], "}"}], "]"}]}]}]}], "\[IndentingNewLine]", "]"}], ";"}], "\n", RowBox[{"res", "=", RowBox[{"CrossTabulate", "[", RowBox[{"sarr", ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}]}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.778697587292699*^9, 3.778697695731748*^9}, { 3.778697733028006*^9, 3.7786977551996*^9}, {3.780336439012908*^9, 3.7803364417001767`*^9}}, CellID->314095959], Cell[BoxData[ RowBox[{"\[LeftAssociation]", RowBox[{ RowBox[{"\<\"SparseMatrix\"\>", "\[Rule]", InterpretationBox[ RowBox[{ TagBox["SparseArray", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquarePlusIconMedium"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ RasterBox[CompressedData[" 1:eJxTTMoPSmVmYGBgAWJWIAaxtaIl5uodvWjfcKOtdoXsE3u7iCWREze+s7cq 3x03S+mc/RzjRVvMf1yxf7FI8XHgqlf2BnH/dn3JPW+fwv63kmnqTfu9prd2 Oi18bS+9p8Db9MsF+3Pih+x/mDy0jxJaP0u86i1Oc2w0PvEdirho/+F30nqP 2Y/sNa5nm37jx22vy/77FTNO37Vv72PaGxL8wr6wwLiMuei9/dYlm3Yp/71o /613/Q6Bp0/sjewuvvvB8t7ez3Zy2oqY2/bdf799sljz3L7O/Ou/7Ynv7YWM pDIWJ12wX1Jx63tRzD37iul7z8otfGP/j8lizr2+c/ZPH828wV51zX7K0SOZ jL9f2X+YcvX1/Lvn7Tfdr/T6pHTb/uDSl8HVX17b7+w2cN255YX9Dffl62qm vbU/GZH7L/7re/ue6H2/5USv2R/y4tVa6fjMPiNqblOs3Xt7I73l0yRWXbBf c2yu9D2dB/YbCm+eXMD91t7ew2BznsIFe2ljpzfTW+7YN+50PVRg9wZnOHQW 5Vht675ob3O82OROwGP7uw+3d72Ifme/5LVgUqjqRfvvV1n3sj95aB9xWtI5 4PBbewCxtv9y "], {{0, 0}, {5, 4}}, {0, 1}], AspectRatio -> 1, Axes -> False, Frame -> False, FrameLabel -> {None, None}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> Scaled[0.02], "RangePadding" -> Scaled[0.05]}], GridBox[{{ RowBox[{ TagBox[ "\"Specified elements: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["16", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"4", ",", "5"}], "}"}], "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource[ "FEBitmaps", "SquareMinusIconMedium"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[ RasterBox[CompressedData[" 1:eJxTTMoPSmVmYGBgAWJWIAaxtaIl5uodvWjfcKOtdoXsE3u7iCWREze+s7cq 3x03S+mc/RzjRVvMf1yxf7FI8XHgqlf2BnH/dn3JPW+fwv63kmnqTfu9prd2 Oi18bS+9p8Db9MsF+3Pih+x/mDy0jxJaP0u86i1Oc2w0PvEdirho/+F30nqP 2Y/sNa5nm37jx22vy/77FTNO37Vv72PaGxL8wr6wwLiMuei9/dYlm3Yp/71o /613/Q6Bp0/sjewuvvvB8t7ez3Zy2oqY2/bdf799sljz3L7O/Ou/7Ynv7YWM pDIWJ12wX1Jx63tRzD37iul7z8otfGP/j8lizr2+c/ZPH828wV51zX7K0SOZ jL9f2X+YcvX1/Lvn7Tfdr/T6pHTb/uDSl8HVX17b7+w2cN255YX9Dffl62qm vbU/GZH7L/7re/ue6H2/5USv2R/y4tVa6fjMPiNqblOs3Xt7I73l0yRWXbBf c2yu9D2dB/YbCm+eXMD91t7ew2BznsIFe2ljpzfTW+7YN+50PVRg9wZnOHQW 5Vht675ob3O82OROwGP7uw+3d72Ifme/5LVgUqjqRfvvV1n3sj95aB9xWtI5 4PBbewCxtv9y "], {{0, 0}, {5, 4}}, {0, 1}], AspectRatio -> 1, Axes -> False, Frame -> False, FrameLabel -> {None, None}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], Method -> { "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> Scaled[0.02], "RangePadding" -> Scaled[0.05]}], GridBox[{{ RowBox[{ TagBox[ "\"Specified elements: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["16", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"4", ",", "5"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Default: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["0", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Density: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["0.8`", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Elements:\"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"\"", "SummaryItem"]}]}, { TagBox[ TagBox[ GridBox[{{ RowBox[{ RowBox[{"{", RowBox[{"1", ",", "1"}], "}"}], "\[Rule]", StyleBox[ PaneBox[ "58.730094373073854`", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}, { RowBox[{ RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}], "\[Rule]", StyleBox[ PaneBox[ "75.05196292553399`", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}, { RowBox[{ RowBox[{"{", RowBox[{"1", ",", "5"}], "}"}], "\[Rule]", StyleBox[ PaneBox[ "71.9667815216444`", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}, { RowBox[{ RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}], "\[Rule]", StyleBox[ PaneBox[ "38.472654586339786`", ContentPadding -> False, FrameMargins -> 0, StripOnInput -> True, BaselinePosition -> Baseline, ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> False]}]}, { ItemBox[ "\"\[VerticalEllipsis]\"", Alignment -> Center, StripOnInput -> False]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, DefaultBaseStyle -> "Column", GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], "SummaryItem"]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], SparseArray[ Automatic, {4, 5}, 0, { 1, {{0, 4, 9, 13, 16}, {{1}, {4}, {5}, {2}, {4}, {5}, {3}, {1}, {2}, { 4}, {5}, {3}, {1}, {4}, {1}, {3}}}, {58.730094373073854`, 75.05196292553399, 71.9667815216444, 38.472654586339786`, 373.9129453625046, 117.99084908718812`, 37.69368338725093, 47.32341789605877, 2.975406649927706, 83.51455795560373, 157.60328355483466`, 163.26279980834937`, 73.62391561915717, 71.42857997775124, 79.65136987921656, 33.89041683921431}}], Editable->False, SelectWithContents->True, Selectable->False]}], ",", RowBox[{"\<\"RowNames\"\>", "\[Rule]", RowBox[{"{", RowBox[{"\<\"A\"\>", ",", "\<\"B\"\>", ",", "\<\"C\"\>", ",", "\<\"D\"\>"}], "}"}]}], ",", RowBox[{"\<\"ColumnNames\"\>", "\[Rule]", RowBox[{"{", RowBox[{"\<\"atavism\"\>", ",", "\<\"crampon\"\>", ",", "\<\"hymn\"\>", ",", "\<\"league\"\>", ",", "\<\"tagliatelle\"\>"}], "}"}]}]}], "\[RightAssociation]"}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.780052403200691*^9, 3.7800524119582644`*^9}, { 3.780052503024261*^9, 3.780052519588908*^9}, 3.780052569535705*^9, 3.780054187576288*^9}, CellLabel->"Out[1]=", CellID->55622232] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Dataset", "@", RowBox[{"AssociationThread", "[", RowBox[{ RowBox[{"res", "[", "\"\\"", "]"}], ",", RowBox[{ RowBox[{ RowBox[{"AssociationThread", "[", RowBox[{ RowBox[{"res", "[", "\"\\"", "]"}], ",", "#"}], "]"}], "&"}], "/@", RowBox[{"Normal", "[", RowBox[{"res", "[", "\"\\"", "]"}], "]"}]}]}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7800523451001463`*^9, 3.780052345102106*^9}, { 3.780052416318578*^9, 3.780052487487174*^9}}, CellLabel->"In[2]:=", CellID->21598638], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnXeYFEX3tkcURYIgSJBXBQGVqIj+QEHUFxERFZBkAFFUMpJZRAGJkhGU HGRRENglR5UgSUTCuizxJS45uCwsIJL3e745l3W1naa6p7e2Yc79BxfbU9Nd /dSp81R1V/c8/GGbWk0yBAKBDpnwT61Gnf/bvn2jLrVz4I+6rTs0b9q68cev tu7YuGnj9s98eDs25rstEJiI8v///6kMwzAMw9wq/I9hGIZhGIZhGIZhGF9y zk/4sEq3HiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhz BbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTD IquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3 sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDI CmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquH NVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1H MiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyekJqfvbs2fHj x48dO3b16tXKanWLIRPYJPLKlSvVVOnWw5/Z47fffkOzjhs37s8//0zvuugx hlwa1TZCbD0hISEuLu7AgQNe7dCexMTEFkGGDx+u5oju8GG73/KE1Pz06dNN gkyePFlZrW4xZMZOJPK3336rrFa3GDLZQ3HiBTExMdSyR44coS3hZ2NPzsI0 5Iy19YQIsfWmTZtCOgyWvNqhPfv27aPGGjhwoJojusOH7X7Lw7auALZ1Bchk D8WJ95yZUYafjT05C7b1cze5rR89enRIELSamiO6w4ftfsvDtq4AtnUF3Cy2 Hn42Zlv3ipva1m8WfNjutzxs6wpgW1fAzWLr4cO27hUyVYqPj589e/bYsWMH Dx7cq1evAQMGjB49et68eSdOnBBltm3bNmvWLJKue/fuszScPHkSBY4fP750 6VKk0G+++ebLL7+k/UD5P/74Q3usHTt20LfwH2NNTp06RZ+uX7+etsydOxd/ btq0SVdy375906dPx7F69+6Nak+cOPHHH388duyY9qTwxTlz5pw5c2br1q0/ /PBDv379UKspU6aIKmH8idMcMWJEt27dsBPERlJSkqyyGuTbff/+/fPnzx83 blzfvn2/+uorVOa3335DDY11xp979+5dvnw5mmbJkiUIZkmFzwUjHzvBrjZv 3gx3w9dHjRqFc/z6668XLVpE7QUg8nfffYea9OzZE60fFxen24+2Pvg/NMQR e/TogY7566+/mp7gxo0bcVIDBw5EkIwcORLfhcg21UtOTsZJQZAvvvgCDRQd HZ2YmCijpCNbtz/Kzp07bWIScmljMi203bVr14wZMwYNGgTR0LjLli2TUUAB 4dg6zgsngu0QATEDldDXdP1LPqQF0O3777/HPtGU6EEQcPXq1VASOxdl/vzz T2oyZC3d13fv3k0fGcMSZxobGzt8+HC0JgIYtdqyZYvNuXuFvcghE69M9tYC cRYsWICk17VrV7TLmDFjNmzYQDtEnhTFTI3SmI0lWzDkWRAyMePU1sNp1pva 1qFzEzNatmyJLE1l0H1MywD0FBRYu3atVQHEm3AuNDdtNF138fPPP9OnCLxz 1kkDhk4DPx3NmjUTJztt2jTaiCDXFcafyLqrVq1q27atbg9oehdrKWVExrks XLiwRYsWxmp36NABBqGtM/wFSV5bBgUkFT6ncTS0bJcuXXSF+/fvD1ODDem2 Qxb0UG2dRX2QP40HnTp1akpKivagkyZNMhZr3769iCJd9ZCZP//8c135Tz75 RJteXGsufxR0c9o4ZMgQ435g1vQp/pMW2mKwYQxmjIhCKqAA17aOUTfG28Zg gGLasZN8SAOMzTBitCoPDUVJNAFtRNbSVRiuQR9pYwxngcF28+bNjbvFEV3o 5gh7kUMmXpnsLcBZG4NWAJMVJY1GadrWki0Y8izOSceMvK2H36y3gK136tRp 2LBhyMyYi4mmb9OmDQ1rMSTGNEds7Kfh8OHD5/5pXxgrBloYAWJCNHToUOFi MGJxOMqxKGkcWVGzoiEwCDxn0YIrV66kja1atULkoIEwUOzcuTNt3L59OxUT aVPUGcPITz/9VNe+yAYYFvbp00e0PiIhLUQWg1UcEcl/woQJqA/MhTbSWEJX Zy3C1mUUFtYjgLXhW8ZBBQY2qAaanv5s166ddmysqw8Ko+ZaDdesWSMKo41o Y+vWrVE9mD4Ki1PW6mOsHkIChfFF+hNVDV9zR0eBPrRRt0wX4xYKVwTbqVOn 0k5bRALqpk3RxpysHne2jvkXTpa2o4fOCYKJEm3ByFlke/mQPqdRDOWxNxwR HR/9WsSYKOnU1oXpoMm+//57zCnwr4gTjP9dCyiDvcghE69M9ibwf3FSSJiY C6Ow1kld23rIFgx5FvIxI2/r4TfrTW3rv/76686dO3UbRZbWXm61uTly8OBB JHlKfQKMxEhGpD6xEfLSnufOnaurKm1HeNAW0xakmSNcWJuBkX4RYDiKGPuJ JIC5MCpG80rsEKlAhDG8lcYP5zSXEWQ8RUdIkVFVCnWEtPYSFuSC/aFTGG0d 3e2nn37atWsXBrHI8Ki/vMJa6xk9erQIdYx5cCzaHhUVtX79epIFXQZdibZr qyfq89lnn4nbIuc0/QWVFNWg2EBJbbssWbJEdFXT6o0YMUJcD0cHF8Mz6uzh aO7oKOIyEZpDuxOoQduRr9JI2/bt269YsQKRqdN24sSJ9goowJ2tT548mTYu X75cW1icsrjLIB/Se/bsIXkhl/YiKqbwsLMmYdj6oUOHMLHFll69eolsQNvp ah4c01akcAnz3rp89kZeFXkPuontkIK2u7B1+Ra0Pwv5mJG0dU+a9aa2dasv klAzZ84UG12seSAbRZcUievEiRPkcbAAbUkMpeiIotuatiBNrLBDbWMZEfGA dtRu37x5M203XoehPXfs2FH+7IiQIn/33Xd0UNic8VNxIqLO8+fPF3KFxKiw sB70X13hL7/8kj7S3WtA96ft2mvFoj7aRQtEjx496CNyRrge/blu3TpdSTFn x/gkZPVE9wx5/0ve1mWOAjUoEaHL0w0RYvjw4VRy7969IXfrTltdfGJGT71j 0KBB9goowIWtI8NTlhCDcwGko8tTIdfXGUP6hx9+0KV3AdJRkzBsHQM5XXwK Zs+eTR95uxBLR5i2brVPqrnI3ohJ2vLpp5/q7m7AmukjF7ZuhbEFbc7CUcxI 2ronzXqz2/rJkyd/++03OB1SU5cuXcSVCoAOJYqFjC50lunTpw8dOrR79+7t 2rXT3jTUXoEU40axsgKjRxpEdevWTRQzbUHRXnBhdFLj0hdCpE3d0hHMJWn7 jBkzdF+hW6JIqiHl0hFSZLpRjj1rB8nyddYio7DNIvCxY8fSR7quvWvXLtqu vYRiUx8xqUxISBAniLDR3m0nRCIV832b6ok7LMbhgQ55W5c8ihh6ifkC0h3J q3VYBdpiuIvtGDjZK6AAF7a+bds22oLE/pMBStG6B59lQpqu0aEHGYe7Ydo6 jtskaEDG2o4ePZoKx8fHOxdPlvBtXSZ779ixw0qT8G1dMu1bnYWjmJG0dU+a 9aa29Q0bNohbVEYkbR0jLu31bSPa9hWLlJAJacuaNWtoy+LFi0Ux0xbcvn27 bolRp06d0FJIntr6WKVNDANou+7O3bl/BhvNmze3l8tISJGjoqKw565du9rv x97W5RW2sR6xqk1nPfv376ftktazYsUK+ohur9NlbXRqY7Xj4uKoJC2DtK8e rJ8+SlNbNz2KeNuGuLOACKEtyJkyu/VK2169ejUxXMBMF1zY+i+//GITooSI E/mQpvvFpj0oTFu3WUImWLt2rSv9pAjT1iWzt2gX47uUw7F1R2nf6iwcxYyk rXvSrDevrSNlCZdEJkEYIPI3bdok7jVL2nrPnj2pPGwR/jhv3jzkTEzlRowY YWxfgFl5k+Dwmx5wGDJkSJPg6k3t8w5W48ONGzdS6tMxcuRIMR22SpvHjh2j 7UZbp9lWWtg6DTj79Oljvx97W5dX2MZ6xNVynfWIixiS1iNuRpMz0gTB9ARF IIlHkGyq9/vvv2t3a0M4tm51FHETHFMbBFL79u2bBC9aameICrSlVUw3qa0v XLiQtiAPD7dALGCQD+kOHTo0sbiCQbaOeZnY4sjWKXTxdavaAtMnH70iHFuX z96YpdIW7RiVOHToEH00e/ZssVHS1h2lfauzcBQzkrbuSbPevLYurhwuWrRI ewUVwzBdYJz7p13GjRun24lIXGgX3XPH4pkUna2L54Z+/PFHxJVpi9vfzcEk CHNGZFft+mFECH3qK1unO9Eh79rbpHpHCiuwHhSjj6hr0AlGRUUZTwrdnEqK i9u+tXVkPNqOOBQX6nVPRrCtazH2UKGh7oE+I45CmjSBuRv3YzNbj42N1RU2 2joZU1qvi7NB3taNiVc+e4uYh7/rduJ6tu407VudhXzMmFbDtLaeNOvNa+vw mibB9aW6m1amtk6LUUeNGqXbiZi7aS+hE1a2LhbOQX/x8Jfu9RHyizQQD1RS 1M1Xto5a0UH37NljU0xmdiyjsALrGTBgAH1Ey8NocI5uq1sApt2JWJ/mW1tH vNHdhJYtW9JzbbrLR/a7ZVs/p7njEPLRe0chjb2ZpohzZrZ++PBhqzYy2rq4 0ypWRSpGxjWsEq989kbmoS1Dhw7V7cS1rTtN+1ZnIR8zptUwra0nzXrz2jot VIPD6tIL5la6wAD0EK52VRshnmNCstJuh8jiuUjtAmNCDDUJ4xU20xZEfXS3 0c8FF41QSTEU9JWti0sTw4cPN3ZAVJWMwCbVO1I4ra1HjK779+9PW9Cvacuk SZO0JY8fP043IFq3bi2egvGtrZ/TXIUwBl7I3bKt0xbxqL7xeu+54MIGeurK UUiLtRx9+vQRT45gSIn5OJmF1tZRB3oNBcZm2jks9kwrqZpobF14E/ZsXNGK Y+EQ9itdw0TGNawSr3z2hia0FBNCQUxRMiEhQdzQdGrrTtO+1VnIx4xpNUxr 60mz3ry2Lh75/+qrr1atWoXBMAQRc7Em/7Z1sR2eiN3u3LmTXpgplsC1adNm 9uzZ+BOZE2XE61aaGGbr54IRpU2hxqtDpi2IoSkic8yYMWhrzA1x9M2bN4tl G2Lc6CtbR/yIF51B8Li4OIQfvjJnzhy6gat7bt2Y6h0p7Ln1fP3116tXr96x YwdqLl7xh3/FA7M4QfGaGhwUe0MdUJgySZN/X8r2s60jPLSvpTIegm1di2kP FSsSESHQBAaKaEdnR9+kpx2/++67cw5DWrhSk+AQEfuBGWlfAaS19XOae76Y tSEOsWfkMe2eha1jz8KDcAjkQEwe0WRr166dOnUqfcXmyZTwkXENq8TrKHuL oVGT4OLDQYMGCTMlnNq607RvdRbnpGPGtBpWtQ2/WW9eW4+Pjzd9EatpYJi+ KnD37t0YEovlRlaYvm5d3BaHzsa3tlrZutUh+vbt688lc+eCXUD74ImOkLbu SGHPrccUbRI4F1zH2KpVK9OSX375pXZg7GdbP6e5iIQs5Gi3bOsCm7e8Nvkn RTtNGrt27TK+JbJNkCaGbitWdFihfcscMhg9q2JFutu6VeJ1lL3RWOLpYC3i FYva+JSxdactaHUW9KlMzJhWw7S257xo1pvX1s8F3+wnXtxHIKH98ccfFDC6 57sx7aK39xDNmjWj5/2PHz+ue9Khbdu2yPz0khnsyngR/pzm4q3p3XOEDV1h 06ZQjLswRtUFM0YFyJPa26DU0CimuzeKpqSvaF+zQ0yYMIF2ZS+XEcl2R8iN GjVK945i5PClS5fSlXmrOhPyCsNDSR/jK3eoMFTVWY9YDaudVgvrQTxoBf/8 88/hjMYaGt/qjJPFSRlf7m1VPfFWN9P9a5G5QuLuKOLNJ6Y/Z+OVtjZtTa+1 Ec/ZpSMhRTbtoQSmWjgFXT/t0KEDSopM7jRpoPPSbzP16dMH03DY0NGjR2kP undbnQve+dJO5zHmjI2NFYtwdKug4T6Idt2TYqgAIh/zX/l3Q7lAMntYJV5H 2ftccPgNi8QUGLN1xDCmyf/75901K1euFMXEeidxy8O0rZ22oNVZEDIxY1oN Y22JMJv1prb1c8G7VJAUjomMZ1z1pAOZDSIjcrBnXathYoJxMkZl27Zt0yU3 b0Ed6K2qAP9J05tfIXHU7oil/fv3o9pILKb2bY8yhc/9e0aJCME5btmyJeQQ FwXi4uKQbVA+7WqYRn0N8Uz3KzHOT9NkflMQvsgIgL1792L4hNmx1Zujwglp JHm6OK99O7GA7g8irWGmL9max44dw1fQPVFt05mI58iLbJV4HWVvI+KhD3q1 lAsctaCNfRAyMeMUd816s9s6Ew63qsgyb71LL9JIc7HSRveDBZGJrwI7MTHR +LZP8QMTMTEx6VKr8FEmMoZAmErohjeQVPyYkYtZxq0N23okc6uKHGm2Ln6v rUWLFva/OBAh+Cqw6e2+vXv3HjduXGxsLL0rVVz4vXktSZnI9LgQtBo+fDjU mzlzJpQUC36076JhCLb1SOZWFTnSbF0spXP0Y0a3ML4KbPHSfh3wKdOnom4W FNu6KTB6NXccbi7Y1iOZW1XkJUuWdO/e/YsvvjA+pJDupIXmmAN2D2J8MUJk 4qvAjouLw3CrR48enTp1+uSTT7p06TJkyBCMPH045nSEMpGTk5NjYmIGDx78 2WeftWnTBsOh3r17jx49Wvuby4wWtvVIhkVWD2uuABZZASyyb2Fbj2RYZPWw 5gpgkRXAIvsWtvVIhkVWD2uuABZZASyyb2Fbj2RYZPWw5gpgkRXAIvsWtvVI hkVWD2uuABZZASyyb2Fbj2RYZPWw5gpgkRXAIvsWtvVIhkVWD2uuABZZASyy b/kfwzAMwzAMwzAMwzA+Jr2vHPwLqlIqk5awyOphzRXAIiuARfYtbOuRDIus HtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2 HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuA RfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZc ASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2Hsmw yOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYt kWnr169fP3r06N9//51G+7ciJSXl9OnTkoWvXbt28eLFNK2PU5FRpaSkpBs3 bsgUTi+RHZGcnHzlyhWVR3QR2OfPn0+jytyq3CyOk3YtqyCwbwqRkazgJi6+ iMR16dIlDwurzIeubb1Pnz7/DVKlSpVTp06li63v27fvZVtGjRqlLY84Hzly ZIkSJe68885AIHDbbbflz5//o48+SkxMlJRr7dq19kcE7733niiPoFq2bFmL Fi3KlClz7733BoJkyZIFus2cORMNbTwErLxz587ly5fPnDlzhgwZSpYs2ahR o927d9tXDAfCocuWLbthwwbJc0mV65gYh0yYMKFatWoPP/zwHXfcgfpnzJix YMGCnTp1OnjwoLF8+CKbcuzYsddffx3nOGDAAN1HTZo0CdkoP//8s6gelG/Y sCGEzZo1K2p4++2349Tef//9/fv36/bstLllkE+Gy5cvr1u3LqRGJXPmzPnK K698/fXXjo4VsYQU2WnLOk019si3bI8ePWwOitwrPMtRYHuC5yJrcZfQtF8f M2ZMhQoV7rnnHkiRJ0+eSpUqLVmyxP5bO3bs6N+/f7169YoUKYLEhS8+/fTT YRZOo3xojztbx1DwvvvuC/xDdHR0utj65s2bA7a0bNlSFMY+S5cuLT4ihyIg OMxXRq6YmBj7I4IHH3xQlE9ISLAp2bx5c93+MReGoRtL5s6de+PGjTIV+/HH H2VOhJARuVatWlb1z5Ur1/bt27WFPRHZyIULF5566inaz7vvvqv7tHjx4iEb ZeLEiVR49uzZVmVQwwULFmj37LS5ZZC09cmTJ2P4ZDzcxx9/fO3aNUdHjEBC iuy0ZR2lGnsctewbb7xhf9w///yTSjoKbE/wXGTT7zpKaAQ0ef75500Ph0GO 1bfQLnfffbeuPCw4nMJplA9D4s7Wde1VtWrV9LX1F198sYkZ06dPF4Xr1KlD hdEBV69effXq1S1btvTu3RuT4kBwzCw6iA1xcXGmByLy5csXMLN1DJvffPPN gQMHLly4cNGiRVFRUXRQEBsbq90/JqS0HbXFR0uXLu3SpQsFQ44cOeBuuvrM mDEDI0b0fRzCRS+Qt3XMLDp27Dhp0iSEIv599tln6XAYhWoLeyKyjuvXr9eo UUMEm9HWe/bsadUimBPRt3S2nilTJsxrMEWaP39+t27dHn/8cSqGGh47dkzs 2WlzyyCjOYZwVB/MMgYNGgQlUf9y5crRxj59+jg6YgQSUmSnLeso1djgtGXJ 1rNly2ZV1b/++otKOgpsT/Bc5NSwExpRu3Zt+i72gxk6UtB3331XoEAB2vj9 99/rymNqjxkWfZo1a9YWLVqMHTsWA6ERI0Y0btw4nMJpkQ9lcGfrlOrvvffe atWqkW3t378/HW09ZJ9C8JM51qtXT/fRmDFjaCfoF+EoefLkSbr2hVgSGxMT E5s1a7Znzx5d4Xnz5tFBERVi45EjRyiYsQft9Xl0UiocHR2t289DDz0U+Dee 23q/fv3QKRCQ2o1XrlwRuQgnThvTSOR27doFNANdo63b0KlTJ/rWpk2baMu6 deswrDp+/LiupOiqOFmZPZs2twwymjdt2jQQHM+vXbtWbExOTi5SpAi2P/zw w5LLGyKWcG77mrasfKqxx2nLkq0XLVo05J69Cmx5PBc5NeyEBjCeoS82aNBA uz0pKYmuMOfNm/fMmTPaj8SFjgoVKoS8YSFfWIHpWOHC1g8fPnzXXXehSo0a NZo2bRpVD1NRP9u6GCR/9tlnVjsx3rR1BAwaO8mQIQPGYyELX758mQ5avXp1 sRGjONr4xx9/aAujp2Nsj+0VK1bU7Wfw4MGfBXnnnXfSyNatwEHpiBiT05a0 EHnkyJH0RQyJqcvL2/rBgwcxecFXMHoPWTg+Pp4O1L59e5mdO2puLSE1Rzag G4I1atTQfSTUWL58uaODRhrhBLZpy3pi6y5aVt7WrXAa2PJ4LnJq2AkN4DTp i8aVP8gh9NH48ePFRmRXuk4Ou8f4yn7njgorMB0rXNj6iBEjqEo//fQThkC0 EqxMmTJ+tvULFy5Qhi9WrJhuefmUKVNoJ+7WZggZaWBWv359mfLr16+ng3bv 3l1srFq1KrZkz57duJQO471A8KqI6So7sHLlSsW2TrXFAE+s7fRc5EWLFtHl C0y6U/8ZycvbesOGDUm0Xbt2hSy8fft2qmHnzp1DFnba3Lrv2msuYmPIkCG6 j3bs2EEf9ejRw+lxIwrXgW3Vsp7YuouWDd/WHQW2IzwXWYu7hAYqV64cCN6y NH506NAh2icmpGLjnDlzaKPx4rwRR4XT2nRscGHrFSpUQH2QY1NSUvAnJKIa btq0Kb1sfcyYMWiyI0eO6K4Va6H7BaBUqVIJCQm0EWo/99xz2PjAAw+Ec2GT 7kpkzJgx5DUcDIRiY2MffvjhQPD+Gv4UHz355JPYiPoYv9W3b1+qvLjirUOZ rWNcAdlbt25Nh+vdu7f2Uw9FxiwjW7ZsgeBcm77lyNbxdcwFAsGVSDLlx40b RzXXjuStkG9uIyE1FzdoTFfU0Hpa42JLRotrx7FqWUepxgoXLUu2XqhQoePH jx84cODo0aNOF0w6CmxHeC6yFte2TovlsmbNakw1yF20WLFKlSpiY+PGjWnw f/78eUzwMVfFpP7bb79FBYxSOyqcmsamY4NTW9+2bRvVs0OHDrQFp6bbot7W BbfddlvevHk/+eQT4xNhhw8fLlu2rCj58ssvT548uVKlSvh/gQIFnF5K1bJu 3TraZ6tWrWyKDRw4sHTp0vQoBFVg69at2gL58+fHdkSC8bvi9rqIDR0KbP3Y sWMYCefMmZMOhIEoPF0Xll6JjPSFmMe3sDcx0HVk66+88gpVElUKWfjSpUuP PvoolT916pR9YcnmtiKk5iIPm47kSX8kRheHjhzcOY5NyzpKNVa4aFnjSngY 0zPPPIPpnsxj6Y4C2ymei6zFta23adOGvgirMn4qsorYAoun1qT/aMFoKiYm Rvt1R4VT09J07HFq6927d6cabty4kbZgzv7ggw8Ggmsaaf6ejrYuQBhrF6UQ 2O3999+vK5k5c2bT56/locsXWbJkOXHihE0xcbeItBoxYoS2Y8IfrdZXAAwI 6Yvi+WsdCmwdJbW6oZ6mYRm+yBcuXChTpgxFvlZSeVtfunQpHbdjx44yR8SM nsq3a9cuZGHJ5rYipOZiicWOHTuMn5II5cuXd3HoyMGd49i0rNNUY4qLlrV5 wK1GjRpWt+QEjgLbKZ6LrMW1rYvr25gg65bGbdq0iVbNaRcpPfbYY0JSTMOR c0qWLElLIALBu//aZwMdFSbSyHTscWrrjzzyCGr1xBNPaDeKVQqLFy9Waesn T57s378/lMQYA4XXr18fHR0tnr3KlSsXJn2iMP5PH6Fphg0bhpYVIhcrVkys lHaKuNvStWtX+5KzZ8/+/PPPmzZtikigr+A/Z8+epU+vXr1KE3lT28IYj76S jraenJyMQR3aunbt2vSABgJ7zJgx2jLhi4xMRakse/bsuvG2pK1jgES3M7AH mXf6IYSohqVLlw75Dij55rYipObdunWjQ5hOA+n2Ddu6PS4cx75lHaUaK1y0 7PTp0zGkX716NfrC1q1bly1bBoMWPtKlSxebwzkKbBd4LrIW17aORIpJMX0X GaBhw4ZRUVEffPABPEvkorfffluUp8fPMc8aP368eFrw0qVLX331FRXGCEQ8 huaocGqamU5IHNm6kLp58+ZbNCD2aPt7772n0tatQDWoPhi50RbskC5xP/74 4+JiFPbfoEEDMlPMlFetWuX0QAihokWLUr9OSUmR/+Lo0aOphtrFG9gJttSs WdNYXiyUtXopjeIlc0lJSSVKlAgEH9UROcoTkTHxoROJjY09829o57Vq1aI/ raYqYrjet2/fkCeCvkaFCxUqFDIzu25uLSE1/+abb6hK8fHxxk9z586Nj157 7TV3R48QnAa265Y1phobvGpZfJ2eDitSpIhVGUeB7Y40Fdm1rQPMlejmtQ66 Ag8+/fRTUSValGv6sjvxeCymq04Lp6aZ6cjgyNabNWtm1EoLhpFevUg2HFvf tWsX1adt27a0ZciQIbQF015dYXHDq3Llyk4PJB4/NC5tDQldZ9a+mIjeloah prHwgAED6ECHDh0y3Zv6lfDi+VAISFs8EXnNmjX2MSYwvfKJkTO9dyJfvnxi OG2FUBUTpQMHDoQ85XCaWxBSc/Gup19//dX4Kc0XPvzwQ9cViAScBrbrljWm Ghs8bFnMN2lXuuvMhNPAdkeaihyOrRMrVqzo0KHDW2+9VadOHUzYIX5cXBzt U3uNkS6SmOYlNBOVFwuDHRVOI9ORQd7Wk5OTaTppj1cvkg3Hcf7++2+qjLhg i//QFuNKcozB6KIWjMDRUS5cuCBelCT/owACcatdXIf/73//iz8LFy5sLExv sQCXL1823Zt6Wxe32kVC80RkeVtHSePXBw8eTJ+OHDnS5ig3btwQd45KlSol 8wKuMJtbEFJzDOCpYsaHaI4fP04f2V99ZRwFdjgta0w1NnjYsvApKq+7nu8i sF2TpiKHb+tGxMJj7TVPumJfqFAhY/k9e/ZQebEywVHhtDAdSeRtfcaMGVTJ vn37xhtAK9CFBa9eJBuO44g3MIiHQOvXr09bTF/WR5eGMMtzdJSePXvSPsWL SR1BS0eyZs0qLiaL90EZF29TDTFWtNqbelsXy9IGDhxIWzwR+dq1aycsoJUn NWvWpD+NT5Rg5ElvUcDQyGadMLKKGFOhFUznO0bCbG5BSM2R4a0ezRN3u4zj f0aLo8AOp2WNqcYGD1sWvSAQvAWmjXN3ge2aNBXZc1uHGjSueOmll7TbKeve cccdxqyF+T7VQVyQdFQ4LUxHEnlbf/PNNymQYDqmBeiBQa9eJCsTM7NnzzZd CiJ+nUSsSxw6dChtwX90hTGgpZfm6R4tGT16dKMgq1evNh4CtkK3t4oVK2bz JOnChQv37t1r3I59UgfXPqUu3lahSxHi8g66htWB0sjWk5KSkHCMj+hiUiAe 8RAP4Xouso6QS+bE7a0ffvjBqgy6GA2oQN26dSWXEkk2twwygU2v+smTJ492 nA/N6am9bNmyGX8dgNEi7ziSLSufagirwHbUslu3bjV9oDUuLo6emnnqqafE RneBHQ6ei6xFJqHJZ4+//vpLvJ5dVxgNR9s/+OAD3bfEL0qItRCOCrvIh14h aevihbFvvPGGVRnx9rkBAwaosXX0AnQQmN2qVatOnz59+fJlBPxrr71G1Xjm mWfERBjeSnGVKVMm7RWwxMRE6gu33XbbokWLtDsXvxegW+xNiJm1/Ut9MRbC OKdevXpz5szZvXs3QvrIkSODBw8WP9I6a9YsbXlahwbHx5j27NmzGIqvWbOG BpnYaLyxjiRwNoiIt9jYWNoik/lDirxlyxYaUqLOGF1gxHvx4kX6vUU6XJky ZcR8wXORddjbunhVbOnSpW1e8iBeEIFiixcvXmKG8aKZZHPLIBPYaEQ6HIbK SOw4HeSBtm3b0kbjL0owOuQdR7Jl5VMNYRXYjlqWbs6++uqrMTExO3fuxOga kTlq1ChxM1Tbm9wFdjh4LnKqw4RmJTJMfMqUKThZ5Ftk3WnTphUuXJhKmj4+ LKTr0qULLcg5f/58hw4daCP82l1hF/nQKyRtXVg2qmdVBqZD7/B58sknldl6 QIN40wu47777dL8ZKhZIB4IrSDE+gbY0VgHdunXT7dzGcf73z8sPy5UrZ19D usRhWkPQrFkzXXmYeI4cOehTjAfEb//hi+Jatxbxs0RGMDC2r1uqtK1bgcEJ so22vIciG7G3dbEmWaxENeWFF16wOSNixowZ2q/IN7cMMoGNBC7WRAWCT81o m9Vq2SQjkHQc+ZZ1lGpSrQPbUcuKNVfGgwYM76NzEdhh4rnIqQ4TmpXI4iWx WjAt6tWrl+mAH/4rnhlE1s2fPz9dSgWPPPKI7iFZR4Wd5kOvkLT1l156KRC8 RmS/0F0MX7du3arA1vv166f9NVsCIfT+++9rX8oqwDRT/O6YoGjRogsXLjQW FhdVxL0SQYMGDeijFStW2Ndw+fLlderUET/DKsDoce7cuaZf2bZtW6lSpbRd OG/evFOnTjUtXLBgQYtOEChevLh93VIlOiYaonfv3kaREcmYWZjeM/JKZKuT 1f0wE4ExOXUuJDf7ndC6RHt0v5Yr39wySCZD5J+oqCitm2DMjIlbyB+YYFKl RZZvWaepxiaw5Vs2Pj7+nXfeESYigPcZs4eLwA4Tz0VOdZjQrETW2XqePHmq Vq1q9cYP4vDhw9WrV9c1bvv27U2fpnFU2FE+9Ar5e+uKkb/CA3PZvHnz/Pnz Z86cCU+0WisuQKMgwCZNmoRp3b59+0K+qSl8MERPTExctWrVtGnTfvnlF5nH SM+ePYshATpvmk7N5EVGfZBkIPKsWbMSEhJC3rlTL/LNgrzmqUEL2LlzZ0xM zPr16xXcLb1lcCSyPE5TjQ3yLXvlypU9e/asXLmSsoe7dxumBWkkcvgg22za tAnJE8nH0TP7Z86cgQvPmDEjLi4u5HJ9R4UV58NbwNYZ17DI6mHNFcAiK4BF 9i1s65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwB LLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwBLLICWGTfwrYeybDI 6mHNFcAiK4BF9i1s65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s 65EMi6we1lwBLLICWGTfwrYeybDI6mHNFcAiK4BF9i1s65EMi6we1lwBLLIC WGTf8j+GYRiGYRiGYRiGYXxMel93/xdUpfS+mHGLwyKrhzVXAIusABbZt7Ct RzIssnpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApg kX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVX AIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIs snpYcwWwyApgkX0L23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L 23okwyKrhzVXAIusABbZt7CtRzIssnpYcwWwyApgkX0L23okwyKrhzVXAIus ABbZt7Cth8O1a9eSkpJu3LghWT45OfnKlSuShVNSUk6fPu22alI4Ffny5ctn zpwJ/7gXL16U1+EWw6nmTmPMW3Dcv/76K2QxRw3qw8BOU5G9Ot+06zXuTv+m SNFOcSSyb/OYI1tv1qzZfzVUqlSpSpUq1atXb9Gixbx58+BZ6W7rx44de/31 119++eUBAwZot69du/blULz33nsyh0APnTBhQrVq1R5++OE77rgjEAhkzJix YMGCnTp1OnjwoK4wGn3mzJkNGzYsWbJk1qxZUfj222/HF99///39+/frCqNb LVu2DGKWKVPm3nvvDQTJkiULpMZOrl+/7vr0rZAR+dChQ0OGDHnxxRcfeOCB DBkyoErZs2f/v//7v+joaJkqaTlw4ED9+vWLFCly2223QbQSJUq0bt3aOE5w 0Vg9evSwKYwoRUTZVGzYsGFUEgLaFEMDoUzZsmU3bNjg6MS1yGguH2MeBrYA SX7q1Klt2rSpWLFitmzZcPRMmTLFxsYaS0o2qKPA9uSM0lfk8DuyFkmRdcyY MQOB2rhx4/BP3wqnKdpR9wlZuEmTJiEb5eeff5asmyOR3bWIJ9lDEke2/uST TwasQQzjfNPR1i9cuPDUU09RZd59913tRzExMTY1Jx588EGZo9SqVctqD7ly 5dq+fbu28OzZs60K33nnnQsWLNAWTkhIsKle8+bNXZ++FTIiP/7441ZVev75 5+UHq99++y0ym3EnefPm/e2337QlXTTWG2+8YV/+zz//tKrYtGnT0D2p2O7d u21OQVTsxx9/lDxrIzKay8eYh4FNnDx5Eu5j3Mm4ceN0JeUb1FFge3JG6Sty mB1Zi7zIWs6fPw/7QLFnnnkm/NO3wmmKdtR9QhYuXrx4yEaZOHGiTMUcieyu RZyefpi4sHU0ersgGM9jNIjxnjhNzOnSy9YxBq5Ro4YQWedrcXFxTazJly9f wKGtY1jbsWPHSZMmYViOf5999lk6LkZu2sJk65jsYML+9ddfz58/v1u3bsIo c+bMqZ0eUjbAdP7NN98cOHDgwoULFy1aFBUVlTlzZipvOmOSOX0r5G29VKlS qDkc8Lvvvqtbty5N4kCXLl1kDoQBKs0IcuTIAR02bdq0evXqjz/+mPy0WLFi 2uGBi8YiW0etrL5ldSUZE7G77rpL6GZq65j49O/fH4dA04TfMeUdRybGPAxs gHb5z3/+Q0cpX758r169Zs2ahdNv27at7pQdNaijwPbkjNJX5HA6smuRwd69 e0eOHInGwgScDhTS1iXzmCmSKdpR95Ev3LNnT6sWQYKi78rYuiORnbaI09P3 Che2/sQTT+i279mzh7IBZqCYFqWLrWOYgQqQ5vK+lhqcntDlcSgvU75fv36w tqtXr2o3ojXLlStHh8YOxfZ169ahOx8/fly3E4zYqTB2JTYmJiY2a9YMYuoK z5s3jwq3aNHCqlbuTl9G5Pbt22M0orvvhgRCzl6oUCGZA1HkZMyYcceOHdrt PXr0oAp/+eWXMvuxaiyy9aJFi8rsRICzuO+++wIaTG39oYceCvybtLZ1RzFm hdPARhOja6M8xjkjRoywv9PqqEHDCWx3Z5S+Int1vk57DSaSukC1sfXwT18y RTvqPp70tU6dOtF3YbshCzsS2UUe8zZ7SOKJrYO33nqL6rxr1y71to4xKh19 7NixJKO8raOLoXyGDBm2bNniVsX/z2effUZ1wNg+ZOH4+HgqDNMMWfjy5ctU uHr16qYFXJ++uwUMRM2aNemgKSkp9iXPnDlDo9lGjRrpPrp06RLNLDAslDmo VWO5sPXk5OTHHnssEBxjDx06lM7F1NYHDx78WZB33nkn/I4ZjuaOYsxpYIsb Rn379rUv6VWDhgxsHfJn5E+RHZ2vC5H/+OOPz/7hgQceCNjauhXypy8psqPu E35fO3jwYKZMmfDF2rVrhyzsSGR3Ye9t9pDEK1uvVKkSPnrkkUc88XRHtr5o 0SK6voFBWuo/oyN5X6MZbv369cPSMTW1atWqgeBM5++//w5ZePv27dTEnTt3 Dll4/fr1VLh79+7GT8M8fdfZj650Ic4vXrxoX3L58uVU/2HDhhk//fDDD+nT kAt1bBrLqa0jwb7wwgv4Sp48efbv3y+mOfb31leuXJm+ti4fY04DG3Pz0qVL k4a6GZwRrxrUPrB1ODojf4rs6HzDFPnFF190Z+uOTt+RyI66j+u+1rBhw0Dw DggmmCELOxI5zBbxJHtIEr6tYwwzZMgQqnDPnj0V2zqmvXQ1GGMzumzoyNfo BlPGjBmN69IluX79+ubNm1u3bk0K9O7dW+Zb48aNo/Ljx4+3KZaUlBQbG0vj QBgQ/tQVCPP0XWe/a9eu0YFkJmUrVqygkx00aJDxUyhGn65bt85+PzaNRbZe qFCh48ePHzhw4OjRo6ihza6o7999993ItKmaq5f+tHUXMeY0sKEY7TwqKgr5 fOPGjdOmTRs7duyCBQsOHTqkKxx+g4YM7DDPyG8iuzjfMEV2ausuTt+Hto58 SE/rfPzxxzLlHYkcZov43NazZMlSJUjlypXLlSuXO3duqm2vXr288nRJW0cu omtNZcuWFXNGeV+D/lTzVq1auZDu2LFjUCBnzpy0k0yZMqFlZZ79vHTp0qOP PkpfOXXqlGmZgQMHYvYkVmi//PLLW7du1ZUJ8/RTw7D1SZMmUcVkbiJg4EeF 69SpY/x0woQJ9OnixYttdmLfWMaV8Ei2yGlTpkwxLmJBoAaC1xnEyiXf2rq7 GHMR2OIriCXRowlMSBs0aKB1onAaVCawwz8j/4js7nxTw+418rbuOo/50NZf eeUVOoXDhw/LlHckcpgt4nNbtyJ79uxI8jh3NbZ+4cKFMmXK4LgFChQ4ceKE 2C7vaxUqVAgERynarzuSTnv69erVk7yJiZEkfaVdu3ZWZcSNmEBwke2IESN0 9hT+6ae6tfWdO3fSJQL8K9l9ihQpQueC4NduP3/+/CeffEIfLV++3GYP9o1l 84BbjRo1tE8KT506lbb3799fbPStrbuLMReBjbm5ri+XLFmyUKFCYkvFihUx HBXlXTdoyMD25Iz8I7K78yXC6TXytu46j/nN1pcuXUpf6dixo3ytHIkcTov4 3NZz5crV/h/atGnz0UcfvfTSS+IpIWRRBbaORE2ZHPln27Zt2o8kfW3OnDlU 4a5du7qTLjk5uXv37hChdu3a9OjK7bffPmbMGPtvwU3ouBjD29y9mj179uef f960aVNkVyqP/5w9e5Y+Df/0CRe2fvTo0cKFC1OVpk+fLvmtZcuWiVX6SDUI m7Zt21avXl08KBcILra0+nrIxkJNYM2rV6+GGpgN4XAYMt1zzz30LfEU3po1 ayhQddfofGvrLmLMXWCLsGzYsGF8fLzYvmPHDho9BoLX58V21w1qH9henZF/ RHZxvoJweo28rbvLY6k+s/UbN26QPSElOnqnnyORw2kRn9u66ZK57du3P/LI I1TtBQsWpLWtr127lo4VGxt75t/kz58f22vVqkV/mr7T6erVq0WLFg0Ehygh F3LLkJSUVKJEiUDwET8baxg2bBhVG/Mg+KPkzkePHk3fEiswwzx9gdOOiYkJ rR4H/fr1k/8iiI6OpkeBtCCBZMyYMRC8JG41yHHdWLAnOiLG2LSlcuXK+PPp p58+deqUVrSvv/6a6rNhwwb8afWQe/oumZOJMddaffHFF3Rq+/bt032EQM2R I0cgeH1eu911gwqMge3VGflTZJnz1eFaZHdL5iTzGOErW58yZQqVD/kchxFH IrtukZvR1sGsWbOo2p06dUprW8e0KyAHHND4dYxF6dMhQ4Z4peT8+fNpn8b3 cREDBgygAg8//PCBAwcc7ZxmTLBs+jPM0xc46pgHDx6kbBYIro10VH8Co2gI 3rhx4xo1amC+jBkiTITWHeXLl8/qW+E01ttvv03fpVc7vvTSSzKiwf1N95bu K+FDxphrrSZPnmwTMC+//HIgeMtSt0jeXYNq0QW2V2fkT5FTJc7XiDuRXa+E D3n6Av/Y+qVLlwoUKECCyPyEgRFHIrtrkZvU1v/44w+q9gcffOAfW0dJ3Xcv XLggXgylvV0YvpJ0xLZt2+o+unHjRvv27enTUqVK2b943BRxh44u34Vz+ro6 S3bM7du30/I8DEcxt3VafyuuXLmSN29e7Pa1114zLRBmY0VFRZEONPWQtHUU M91butu6TYylhqfVr7/+SnvWvh9J8O6779KnIXNmyAbVoQtsHa7PyJ8ip4Y6 X0lkRHZt6/anryvpE1sfPHgwFR45cqR8fexxFMkyhW9SWxfDPE+WxNvHzLVr 105YcP/996MONWvWpD+NDzphpkn1lHxjsCRiwcbAgQO129H3RV+uUKGCu19A o/U5WbNmpYvq4Zy+FsmO+csvv9AvVmTMmHHKlCku6m9Fv3797IcfYTYWvTPn zjvvpHVKKSkppqKJJzQxV8WfVldW093WrWKMCEerkydP2iTz559/PiD3EtqQ DapDF9g6XJ+RP0VODXW+ksiI7NrW7U9fi09sPTk5mbJT4cKFPfw9NUeRLFP4 ZrT1o0eP0ussqNppbes22K8ZQ9KmOyPFihWzt7zRo0c3CrJ69WqxMSkpafr0 6cb3dWA+XqVKFTr9ZcuWie1//vkndWRQt25d+7uNCxcu3Lt3r3E7KkAPYz73 3HM2Xyc8XzIXHR0NWwwEX4Nsv1g9NfiwDInWoUOHkEdHnN99993Yc6VKlUwL SDbW1q1bExISjNvj4uJofctTTz1lXxNfLZlzGmNEmIEN6HeC7rrrLl31oC29 76hGjRr2p2bVoO4CW/6MjKSvyE7P16pFTAnZawh7W3d3+jp8YuviVbE//PCD TbG0ENlRYZ/besGCBRcEwfQcSo4cObJZs2bi3dqvvfYaJju+tXXxMvbZs2fb 76d27dpUUrsodMuWLYHgM2WDBw/+9ddfMfW+ePEi/W4jFS5Tpox2xFitWjXa jjHP4sWLl5gh3r385ptvIn/Wq1dvzpw58BfkjSNHjuBA4rcdZ82aFebp6wgp 8u+//x74h6FDh5rWHzqI8nBYKmy8x7RixYqNGzdeunQJokGxVq1a0cO82bJl w1FMjy7ZWDTXfvXVV2NiYnbu3IlkBUlHjRqVK1cu+vqiRYvsdbC39QsXLpwN gpinYrGxsbQFH9nv2UhIzZ3GGBFmYKcG34FGLVK0aFHxW1SYfdBDPRja6cZO 8g3qLrDlz8hI+ors9HytWiTVYa9B5J/9h/LlyweCA1qxRTsOcXf6OiRTtKPu 47SviVfFIsHaP2vvlchO85i32UMSF7ZuA4YrmK+F7+lpZOv/++dlj+XKlQu5 HxtbtwLdFrai3Qm9odSeGTNmUGFkA+128QoLAmOnME/fVBB7kX/55ZeQ9cfM RZS3sXXxckUtJUqUsHoeRL6xxCV0U91kfgfT3tZpNU7Ic5dE0nGsMMZYqheB TdAbzomcOXOKJwQh6fDhw3WF5RvURWA7OiPTr6ejyE7P16ZFHPUa8ZIoU0Se cXf6RiRTtKPu47Svvffee/Sp/cusUr0T2Wke8zZ7SOLI1sXPeWvJnTs3Rko1 atSAsJ4Yepi2XrBgQdSqQYMGxo+wkeqMEVfI/Yhf99OuCEXFevfuLW43CDJk yNC4cWPjj3qb/nS1DvGus+XLl9epU0f8eqOgcOHCc+fODf/0jYQUedWqVSHr r/0NR/Gue+NaX213yJgx4xNPPNG2bVub8ap8Y8XHx7/zzjvCgwToUJK6RUdH 01dMr52SpKYUL15cZv9aQmruNMZSvQhsAaxBXOUgkHxM7xjKN6iLwHZ0RkbS V2Sn52vTIo56jQhjU2JiYsI5fSOSKdpR93FUGINwuqmB2VPIanglstM85m32 kMSRravEta2r4ezZs3CT+fPnz5o1KyEhQebnXSS5evVqYmIi/HTatGmYLMs/ 3u4ClSKfOnXqp59+whhm06ZNHj6AILhy5cqePXtWrlxJurl7c6AC5DVPuxiz 5/r160iYMKAlS5bYhJ/TBvVnYPu8I6d1rwnn9H2eouVxJHJat4gnsK1HMiyy elhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvb eiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wA Ftm3sK1HMiyyelhzBbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhz BbDICmCRfQvbeiTDIquHNVcAi6wAFtm3sK1HMiyyelhzBbDICmCRfQvbeiTD IquHNVcAi6wAFtm3/I9hGIZhGIZhGIZhGB+T3tfd/wVVKb0vZtzisMjqYc0V wCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyL rB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/C th7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIr gEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7W XAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7J sMjqYc0VwCIrgEX2LeHbenJy8tmzZ7319HNpbOvXrl1LSkq6ceOGVzvErv76 66+QxaDVlStXJPeZkpJy+vRp+QpANMnCAhcinz9/3ulRGC1qkqFkQDqKMRsc Bbbg77//vnTpkn0Zd13VqcjXr18/evQo6iNT2PPs4R8kw4a4tW1dMjgvXrwo uUOVYePO1g8fPtyjR49atWoVK1bsjiAFChSoWLFi79699+3bp8bW165d+3Io 3nvvPVEe6WvChAnVqlV7+OGHUeFAIJAxY8aCBQt26tTp4MGDLqRDM02dOrVN mzY48WzZsmGHmTJlio2N1ZZBrps5c2bDhg1LliyZNWtWlLn99ttRgffff3// /v26HaLFly1b1qJFizJlytx7772BIFmyZPnvf/+LnSDzGOuAr4wZM6ZChQr3 3HMPCufJk6dSpUpLliyRPAX5jrl8+fK6detCLhwlZ86cr7zyytdffy15FEaL 02SIJkYkly1bdsOGDfYlZQLSRYyZ4iiwtezYsaN///716tUrUqTIbbfdhi8+ /fTTujLhd1VJkXEWI0eOLFGixJ133omjoD758+f/6KOPEhMTPa8SgfRon7JG jRpl9d0ZM2YgDBo3bix/uGHDhtFujx07ZlVGJmxM8TySHYnTpEmTkPn/559/ lq9eqlxwAlh5586dy5cvnzlz5gwZMqALNGrUaPfu3caSnpuOJC5sfdq0afff f3/AAvTumjVrKrD1mJgYqzoIHnzwQVEegxCrYrly5dq+fbsj3U6ePIlMaNzV uHHjtMVmz55tdVBkkgULFmgLJyQk2JxL8+bNdXX4888/n3/+edPCyK4yZyHZ MSdPnoxoNB7l448/Rk6QORAjcJoMRZz/+OOPNsUkA9JpjFnhKLAFCKS7775b Vx5OqisWfleVERlJpnTp0mLPlHXFKWDw422ViM2bN9voD1q2bGn6xfPnz8MQ UeCZZ56RPBYSNXkTMDWdVOmwMcXzSHYkTvHixe0Lg4kTJ8pXTzI4MeOGoRuP lTt37o0bN+oKe2s68ji19Y4dO4qKValSpVevXhhDYhAFwcuVK0fbIY4CW4+L i2tiTb58+QJmto6REk5h0qRJ6Lb499lnn6U6Y8QuL9qmTZv+85//0BfRxBBh 1qxZ0KFt27a6iKXsh9Ev5jWY3s6fP79bt26PP/44fRfTXu0omlIuxkVvvvnm wIEDFy5cuGjRoqioKIwJqbxuCF27dm3a/sYbb2CGvmXLlu+++65AgQK08fvv vw95IjIdE7FKO8yTJ8+gQYNWr16NziLauk+fPvK6ManSyRDhhIkDWhbxQFLb 2Lp8QDqNMSscBXZqcKaGMQN9itl9ixYtxo4dC/cfMWKEcfoZfleVEblOnTq0 Q+QuRPXVq1fRg3r37k1S4BQwbPawSoRwrhdffNE0cU2fPl1bfu/evSNHjkQ7 YrpHX5S09bVr1951110iV5vaunzYmOJ5JDsSp2fPnlbJv27durQfSVt3FJyv v/46lUT8oLMsXbq0S5cuNCbMkSPHhQsXtIU9NB1HOLL1devWUdNkz54dihkL 4DRhK2ps3QYMQenCIGJJbOzXrx9cD51XW/LKlSvCofAtmZ0jBp544gmUR69B u9vfK4FiyJnHjx/XbRdRhCqJjYmJic2aNduzZ4+u8Lx586gw4k1sRCKljQ0a NNAWxmDyvvvuw/a8efOeOXPG/lxkRG7atGkgOH9BohAbk5OTixQpgu3INrfk Tca0QzKwH3roocC/sUqGjgLSUYzZ4CiwUzWz+woVKthfpU/1oquGFPmvv/6i VFyvXj3dR2PGjKGjoM4eVokQzqWzbyu+/fZbXRjI2DoGA5QEbGzdUdiY4nkk OxXHik6dOtF+MG6RKS8fnEeOHCEHhLNo71hhZEt7iI6O1pb3KmycIm/rKSkp ojI//PCDVTHUc8iQIelr60hNqGSGDBkw/A5Z+LPPPqOTwvRfZuciBvr27euu eiA+Pp520r59+5CFL1++TIWrV68uNuKLtNF4jwZDTfpo/Pjx9nuWyX50175G jRq6jzCJoKMsX7485CkwAsnAHjx48GdB3nnnHftk6ElAmsaYC0wDG5ZBl7sx 1MSA0PXO5btqSJHFNSjsU/eRMJcBAwZ4WCXdziWd648//vjsHx544AEZW4fC jz32GEoWK1Zs6NChVrYefth4Hsme2DryYaZMmbCT2rVry5R3FJy9e/emGqJd dDvJkycPtlesWFHmoE7Dxinytv7zzz9TTVDz8F077Wwd36JxeP369WXKV61a NRAcssqsgxUxULRoUd0YzBHbt28nMTt37hyy8Pr166lw9+7dxcbKlSsHgpd9 jOUPHTpE5Rs1amS/55Aii0NjqKb7aMeOHfRRjx49Qp4CI3Aa2CtXrrRJhl4F pGmMucA0sOfMmUMbZW4M2SDfVUOKfOHCBUr+8D7dYuYpU6ZQbUOuUXRUJSIc 53rxxRdD2jqGZy+88EIgeMsME08x2dfZuidh420kp3pk6w0bNgwEbzPt2rVL pryj4KTmzp49u3Fxab169ei4MutOnYaNU+Rt/ZtvvqHTt5mq+8HW6XZGxowZ 7S+nQHxEUevWremkMAyT2fnRo0epfFRUFFoEY/5p06bRjRiYqXwlx40bR/ux n1AnJSXFxsbSbTX0U/wpPqLFclmzZjVePcOp0Qq3KlWq2FcjpMji2qxuBRFB 64fl11kxqV4nw/AD0ibGXGAa2I0bN6aMd/78eUymfvrpJ9QQjoNTk1ly6aKr yohcrVo12mGpUqUSEhJoIyz+ueeew0ZMjW2uS7vLHqka5xozZgwa6MiRI/Ku KmPrZGp33303xmmpmmv4Olv3JI+lna27EIeIj4/PkCFDILiaV/IrjoLzySef RGFEiHE/ffv2pcrbXFd3HTZOkbf1Vq1aUWUQA7619XXr1lElUVurMseOHcNU N2fOnFQSg3bIK3lrSey/bNmyuXPnDmi44447GjRoIJMVL1269Oijj9KhT506 ZVpm4MCBGE6Lhawvv/zy1q1btQXatGlDH23bts34dbpeh0ra1ySkyCJLm85c SEOMo+yPwmjxNhmGE5AhY8wpVoGN4WUg+PgY/UdLoUKFYmJirHbouqvKiHz4 8GFaWy5Of/LkyZUqVcL/CxQoYHX/LpzskWq22Buy5M2b95NPPrFarC4Iaeu9 evWiHYp1j1a27kkeSztbdyEO8corr1CjoHEla+UoOPPnz4/tGBAa9yNur4sh opYww8Yp8rYuTh8t7ltbr1ChQiD4HO6JEydsTlnbdvXq1ZO5BU9gTKv9bvbs 2UuWLInWF1sqVqwY8iUGGElS4Xbt2lmVEfehAsH1/CNGjNC97kNcKsRcQ7c0 btOmTbRgJuSNnpAii3tJO3bsMH5Ki2HKly9vfxRGi7fJMJyADBljTrEKbLrV S2BaBNNEJWnNRiC4BsbqgTjXXVVSZOQZ47O6mTNntnmmOJzskWr7DBdSvXZV qhF7W586dSrtp3///mKjla17kscU2Lq8OGDp0qVUuGPHjvK1kg9OuLDVMstU jdSmD8uHGTZOkbd1csyMGTOmxTvlPLF1cZeka9euNsWSk5O7d+/evn372rVr 08MsaM0xY8bIHAJdhg7RsGHD+Ph4sR2uV6ZMGfooKipKZg+YKNncWJk9e/bn n3/etGlTxBiVx3+gvChw9epVzC9Er0R9cNwPPviAVrcSb7/9tv3phBS5W7du pmmBoCu3bOuO8DYZhhOQIWPMETaBTY8DY+Qwfvx48RIzuMZXX31FX8E4XPs0 mcB1V5UR+ejRo/SoERL7sGHDYGSi4xQrVsxqEXU42SM1+JAOhIJTbNy4ETVc v359dHS0eOIpV65cqJXVd21sfc2aNfQ4m+7is5Wth5/HUtPA1sMRB55LV8iR DB29OFE+OJFy6dLWu+++a9zP5MmTbWw9zLBxirytwzKo2hhm+NDWoXnRokWp 9VNSUiS/lZSUVKJEiUDwAS6Z6zxffPEFibBv3z7dRwi5HDlyBGwvfSN70Ncx MLYJUR2jR4+mb+mWwCED031AHXQFHnz66af2ew4pslhQoe37Arp899prr0me CJPqdTIMMyAFVjEmiU1go2PSM0HaVz4KxLNIixcvtj+Eo64aUmRkGLqg+vjj j4v7BfhKgwYNKHVjXrZq1SoPq2QPxCEdpkyZYlXGxtZpAe3TTz+NczmjQVwZ 3rBhA/4UtuVJ2Hhu61bIiCOuXjpa2O80OGEu+LNmzZrGwuLJIONLaXR4GDZW yNv6l19+SdWOjY31oa2Lp02Na7btEQ+Ay7xYSQzJTK8I0fQ5U6ZMpis9BgwY QN/FJPfAgQOOKklDaOMrj8CKFSs6dOjw1ltv1alTBwPsmJiYuLg4OlDI0WBI kcWLoX799VfjpzTQ/fDDDx2dS4TjbTIMJyB12MSYPSEDm67qwHqMHyGu6Lsy y4fku2pIkZElaFcQUPeRWE9iWmHXVbJn165dtJ+2bdtalbGx9ZdeeikggTgj T8JGma2HFAeTa3oNV758+eTfaU84Ck56tR30MRYWvUBmzaFXYWOFvK3PmjWL aoLxvN9s/cKFC+K1ciFvCRkVCNmhBKKhdW/bIN599136VBdaN27cEI+ZlypV yub9zFaI26Ay10jFED3kuDGkyJiw0K6MT38cP36cPurSpUvIKjECb5Ohu4A0 xVGMEZKBTTaBibzxoz179tDXbdaZCOS7akiRhTLGdcvwMrq1ipTiYZXs+fvv v2k/phd4ifBtHcWovCdho8zWQ4ozePBgKoAps6M9pzoMTnrRbuHChY2F6bVd 4PLlyyEP6lXY2Oxf0tYTExOzZ88eCK6aW716tU1JT5bKO4qZnj17kkqOXgJM iIUWAwcODFkYScCmOeihM+0ba1ODI0mRMCtUqBDyzW+m0MKGrFmzhnwoEvun EY7owjaEFBnebfXAyPTp0+mkjPMdxgZvk6GLgLRCPsYI+cCmV8/dcccdxhvo K1asoD3ITFvku2pIkevXr0+7Mr2nT7fzMAH0sEr2iNf42LwFwsbWU1JSTpgh LkpgVo4/xd1JT8JGma3bi5OcnEw/WgS3dbHm01FwipcoGlfaU8xg7i9zUK/C xgp5WwfiDhotKTEWOHDgAPpL5syZVdo6wpVeFYtaWT0Gm5SUBBsyXlPCdEM8 16B7NHv06NGNgmAMo93+1FNPBYJvEtBVLyEhgW7TaF/IhlChbAnq1q1r//KB hQsX7t2717gdFSBvNX1eUgtG1+JN17pqmyIjMr05IU+ePNp5DXSjZ0myZcum ew0yY4/nydBRQDqNMate4CiwFyxYQCU/+OAD3Ufi9d1i8YaLrmokpMji9Wv4 j+6jY8eO0fIz8eSmh9lj9uzZplqJ3wSxeiggVe65dR1WS+ZSHYaNKZ5Hsjtx xB3wH374weboVi3iKDjFW5t0Awxx9QMTTLHRk0h2hyNbx2BPPOmZKVOmrl27 olboBdu2bZs2bdqnn35Kz+Upfie8GEFp3+GsY8uWLYHg8Hvw4MFoAswsLl68 SD/tSt8tU6aMbqQnfkhFd4caLUuLajA8++2332jjmjVr6B3pd955p/a5RfHK i9KlSy9evHiJGcIu33zzTXSoevXqzZkzB90QQ5QjR46gwuIHNGfNmqWtCUx8 ypQp+DpKojyaAONVKmn6CIYRGZFjY2NpnxjD49QQk2hxDPJpo6OfiWRSpZMh Bktng4i0g4agLbpxlKOAdBpjVr3AUWBry3fp0oUu7Z4/f75Dhw60EflTlHTR VV2IjLENzQWQx7Q3mBITE2m4AkkXLVrkukpWumEYjBEykv+qVatOnz59+fLl uLi41157jQrDsnWXSmAKZ/+BfjgMdiy2hHyZj42tOwobUzyPZKfipGpeFYs4 tH8M3KpFUp0EJ6DVbhgDT5w4EaeAdododIEUG7U31j2JZHc4snWA8MAoLmDL Aw88oMzW//fPq2LLlStnU4wUtgI5befOnbqv2IQBvXOewEhGPOSIbjJ8+HBt SXqRoz0zZsygwki52u3iPSFEs2bNdNUQL4nVgtDq1auX5IsOZERGYnn77bfF /rNkySL+X6xYMUfv1mNSpZOh+CU+I5BdV1g+IJ3GmFUvcBTYqUEbFbXCuCJ/ /vx0cQA88sgj2ieSXHRVdyKLtdMAXvbGG2/A0MWvnnXr1i2cKtnYupX+9913 n/GXOidNmiSpsCk2tp7qJGxM8TySnYqTqlkkH/JJCpt8Lh+cqcGRDz0pQIXF b7mitror6p5Esjuc2jqB4daTTz5JwyQBBniY0I0ePfrUqVPKbL1BgwZ09BUr VtgUww579+6t/XllAs2H+abp/TVxBcb0rh+6Gz3soA1RtLiumOlvGesQr4Ra vnx5nTp1xE9kCjAHnzt3rrEOOlvHQLdq1aqmT01aISkyBglRUVHaTpcxY8ZX X301nJ/tiFgkNS9YsKBVwBQvXtxYXjIgncaYVS9wFNjE4cOHq1evri2AAXn7 9u1167JcdFUjkiJj6iR+vkqA2evChQvDrJKVbv369TPuBzq8//77pi92i46O tlHY5gV9uq+b3nlJlQ4bUzyPZKfiYKxC/otBZshq2OdzyeAktm3bVqpUKe2o I2/evFOnTtUV8ySS3eHO1omUlBScILLBnDlz0EE8cXOntu6Us2fPxsfHz58/ f9asWQkJCeG8af/69euIK5z+kiVL5B9CDwlmx4mJiatWrZo2bdovv/xis2dU YNOmTagARqruKuBIZJg7hpfIJOvXr0+jXyiIBNIosFOdBKR8jHnOmTNnkCsw zYyLi7N/aCWcrupIZKR0TApgcOhH+/bts1kx6FX2QErfvHkz9jNz5kykUJm1 02mH6zyWRpGcjuLIB2dqMBgwSIZuIa9Yemg6koRj62lK2mU/RsAiq4c1VwCL rAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6 WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6 JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW 2bewrUcyLLJ6WHMFsMgKYJF9C9t6JMMiq4c1VwCLrAAW2bewrUcyLLJ6WHMF sMgKYJF9y/8YhmEYhmEYhmEYhvEx6X3d/V9QldL7YsYtDousHtZcASyyAlhk 38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXA IiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIus HtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2 HsmwyOphzRXAIiuARfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuA RfYtbOuRDIusHtZcASyyAlhk38K2HsmwyOphzRXAIiuARfYtbOuRDIusHtZc ASyyAlhk3xKZtn7jxg0cwtsd/vXXXx7uUA0uRD5//nwaVSZCcKr5tWvXkpKS EGCeF7bh+vXrR48e/fvvvyXLX7x48cqVK5KFUUmUd1s1KW5Jx0lOTpYXOSUl 5cSJE04P4SiPcfbwLY5svVmzZv/VULVq1TfffLNJkyaDBw/eunWrYltfu3bt y6F47733tF9B0I4ZM6ZChQr33HNPIBDIkydPpUqVlixZ4k46ZKepU6e2adOm YsWK2bJlww4zZcoUGxurK9ajRw+bGlapUsVqgDFjxoyyZcs2btxYvkrHjh17 /fXXsdsBAwbIlJfvmMuXL69bt27BggVxmjlz5nzllVe+/vpr+YoxAhnNT58+ PWHChGrVqj388MN33HEHNM+YMSPE79Sp08GDB8MpbA9cY+TIkSVKlLjzzjux n9tuuy1//vwfffRRYmKiafkDBw7Ur1+/SJEiKImD4outW7c+c+aMaWFYeefO ncuXL585c+YMGTKULFmyUaNGu3fvlqmY54HtInsIkEbwKfrmhg0bZCpjj82p oTlmzpzZsGFDaJU1a1a0yO23345Wfv/99/fv32+6tx07dqCfIrMFgkDqp556 asqUKRinWVVAMo8Z4ezhWxzZ+pNPPhmwBha5aNEiZbYeExNjUxniwQcfFOX/ /PPP559/3rQYuolT3U6ePImBjXFX48aN05V844037CuJihn3j2Et8gY+feaZ ZySrdOHCBXRh2ue7774r8xXJjjl58mQkbWPNP/74Y+QEyeoxhIzmtWrVsoqW XLlybd++3XVhG9DpSpcuLb5LIwQCLr9s2TJd+W+//TZLlizGg+bNm/e3337T FU5KSoKhGwvnzp1748aN9hVLi8B2mj1Mv/vjjz/KVMYG+1ObPXu2Vd3QIgsW LNCVHzt2LHyfCmCgJf4P4KSmXVU+jxnh7OFbXNg6hlsY2mFYjmEk5gilSpUS LYXmmzt3rhpbj4uLa2JNvnz5dB2zdu3aVEn4LGboW7Zs+e677woUKEAbv//+ e3nRNm3a9J///Ie+iGTVq1evWbNmYXLdtm1bY08nW8cw2Kqq2qtee/fuxXQJ +8GYnPYvaesYjdeoUUM0hIe2jqxL+8QUYNCgQatXr544cWK5cuVoY58+fWQO xAjkbR2zm44dO06aNAmWin+fffZZ0hyTYteFbahTpw59pWXLlmjlq1evoo/0 7t0bMz7q9drxJyaq5Ps5cuTAzAs9Al9BooabYGOxYsV0l4sxIaWd4yiYCS5d urRLly5iD3A3q1qlUWA7zR6pwatn/fv3R3cWdhmmrYc8NbJ1zJ2RaSHy/Pnz u3Xr9vjjj1N5tAhm+qIwmoAq9uijj6KH4qOUlBSMQDDbovLdu3fX7d9RHjPC 2cO3uLD1J554Qrd98+bNSAXUUkgC6LMKbN0GDEHpmhX6IG1Bj6DqNWjQQFsS k4j77rsvEJxiWF081HHjxg0ogK/cddddI0aMCHkfk2y9aNGiMjvHDCjwbyRt vV27dgHNDMtDW2/atGkgODtYu3at2JicnFykSBFsx/Aj/Du5EYWM5v369cOY E8aq3QijFPkQEe6usBUYW1Lw1KtXT/fRmDFjaD9wGbGRUgGG8Tt27NAW7tGj BxX+8ssvxcYjR46Q46AvaK8Gw6qocHR0tFXF0i6wrTBmD+Khhx7S9c0wbT3k qa1bty4qKur48eO67c2bN6evoN3FxhYtWtDGnTt3agv//fffNEfAeEC73Wke M8LZw7d4YutE3759Ka6yZ8/+xx9/pKOtU4RnyJAB0w3a0r59e6qb8W7j2LFj 6aPx48fL7FxcGcP5ypR3ZOvQ7bN/eOCBByRtHRN8qhLOhZKPV9kP2Z7WIWBa YXXQ5cuXyxyLIcIJbEQFaY7JpreFxawK39J9hEE7fSRu/mIATLPyRo0a6Qpf unSJTATTQLERU37aA8JbWxgpne4CV6xY0bRWaRfYNhizBzF48GDqmO+88074 tu761EB8fDx9F2lNbKxSpUogePPduByRLpXcfffd2o1O85gRzh6+xUNbB126 dKHGatWqVXrZOr5FA+D69euLjZUrVw4EL/cZyx86dIjqbMxRRpCI6P4jbFo3 P7LCka1refHFF2VsfdGiRTQV6tSpU+o/cwqvst/69etJnCFDhug+wjSNPsIE TeZYDBGO41StWpWmVzJr1B0VvnDhQqZMmQLB6+c6X5gyZQo1tFghhlRMW4YN G2bc1YcffqgbQlNNMNo3LtyqV68emZHxozQNbJsvGrOHjpUrV4Zp6+GcGti+ fTtVoHPnzmJj165daaPx0gdNjatVqya2uMhjRjh7+BZvbf3IkSPUWBiEp5et 063GjBkzaheL0mK5rFmzGq/5IJ/Qig4Md0Pu/OjRo3SCUVFRyJaY40ybNg3j 7QULFmB4YPoVsvVChQodP378wIED2IPkQhEZW8e4nRav1q5dm07N2+w3b948 Ol/jiilA66WbN28ucyyGcBHYCFFMmVu3bk1tgcmvV4W1IO3TV0qVKpWQkEAb YfHPPfccNj7wwAOi76xYsYJKDho0yLgfMTdft24dbaG8gf0YC4tLfLo7BWkd 2FaYZg8dYdp6mKcGxo0bRxXQXmDEoIs2YsCAJrh06RJtF/cftYVd5DEjnD18 i7e2Dh555BFqSoSHeltHJqGjt2rVSru9TZs2tH3btm3Gb9Hl7rJly8rvH4Vz 584d0IBBfoMGDZKSknRfMa6ER9KAWWMSZP8UakhbR98UNRczLG+zn0ggps/y 5MyZEx8hE8ociyEcBfaxY8cqV65MOgeCq6eQsa1uRzoqbOTw4cP08AXx8ssv T548mRZcFShQQHtF+syZM1SmTp06xv1MmDCBPl28eDFtyZ8/f+Dfs0WBuL0u BhKpSgLbFKvsoSMcWw//1ODXjz76KLXvqVOntB+NGDFCrDnHxAqWPWrUKHLP Zs2aabONizxmhLOHb/Hc1t966y1qyt9//129rVeoUAGHzpIli+5VDOJCImYi uqVxmzZtolVzVjf4tGBMq+0C2bNnL1myJGbiYgt2IsbJhM0DbjVq1LB5ntTe 1i9cuFCmTBlKudqT9Tb7iZmXbmWU9ljly5eXORZDOApslNQGTL169XQ3fF0X NgX97v7779dFaebMmY0rUui6LoCJa7efP3/+k08+oY/otinGFVaL8VI1a0R/ /vln2qImsE2xyh46XNu6J6f28ccf09HbtWtn/HTIkCHGPANP1xVzkceMcPbw LZ7besOGDakpf/vtN8W2PmfOHDp0165ddR9dvXoVsw8Rw6gkhrIffPABrQUl 3n777ZCH6N+/PxXGHuLj48V2xC112EDwupb2K9OnT0fuWr169bZt27Zu3bps 2TL0R1pJArp06WJ1LBtbx2CARgs4F931B2+zX7du3aiepq8NocVR3DEd4Siw k5OTu3fv3r59+9q1a9ODZrfffvuYMWPCL2wEE0l6LO6xxx4bNmwYErvoGsWK FcPoV1sYYSyWcCNE27Rp07Zt2+rVq9PlZWLXrl2pwa5H6+tMY3Ly5MlaW1cW 2EZssocOd7buyamJ/FO6dGnjkgm0Nc3NO3Xq1LJly1y5clHhDBkyfPrpp5cv XzbuRz6PGeHs4Vs8t3XxWM2+fftU2jqyR9GiRQPBV3CkpKQYC5w9e5buEuqg a2IAkR/yKF988YU4O91HyIo5cuQIyF3MR1eih2gw67EqY2Pra9eupWrExsae +Td0wbNWrVr0p83VgFSJjvnNN9/QgbR9X0CX71577TWbPTA6XN/2TUpKKlGi RCD4uFDIl7M5KpwanKdT5Dz++OPi0i7q2aBBAzJlmPiqVau0X4mOjqYY1oKB BF0HxreE75C/1KxZ03hcsSKaXkqjLLB1hMweWtzZevinhrEW7QHTamQb3aeD Bw+mT8eOHUtbMN1GGz344IO0Xbt2yJM8xtnDt3hr67BOevEUBu3oHSptXTxd a1x1qWXFihUdOnR466236tSpg+FoTExMXFwcfVFmXiMmF9rHMAV0QSBTpkwy i0vffvtt2pXV8/I2tr5mzRrj+MQU03oKQoosXqj166+/Gj+9++678dGHH35o e6LMv3Bt66ma5U8yLwFzVFhcvEWE6z4Sd0grV66s++j06dP4YuPGjWvUqPHx xx9jDgiboFVn+fLlE8WKFy8eCN6sNx53wIABtHNaqaUssHVIZg/Cna2HeWpC KExyDxw4oPsUCefee++lT3UfJScn0wBPu2dP8hhnD9/ira3PnDmT2rFhw4bh eLpTW79w4YJ4MVTIW0I6xKKdkC+xBIhPKqx9EYTg3XffpU9lfi4BgwoqbDWZ 8sTWUdKmDiFFxgSN9mN8C9/x48fpI5v7CIyRcGxd3D1v27att4VF6BrfXYPc TveMtE5txZUrV/LmzRv49yyMXk9auHBhY3l6XQmgS8TKAluL0+yR1rauO7Ub N26I126UKlVK+2Y5AXIIFTBdWC6GBGLm4kke4+zhWzy0dYSKuLP2yy+/qLT1 nj170nEnTpzo6PQxU6Ye/dJLL8mUR9KjA5mmSnqMzupV0jpq1qwZCF4jtVoP b2Pr165dO2EBLXnCzulP+4fpQoqM3pchQ4ZA8AXOuo+mT59OUhjnd4wN4dj6 0qVLSfOBAwd6W7h+/fpU2PQXCugCdYECBULup1+/fkZvEm9FO3z4sOmexRxT WWBrcZo93Nm6u1PDMEO8/aZChQpWV/b27NlDZVq2bGn8VHTV4cOH0xZP8hhn D9/iia2npKTMmzeP/JFCK0xPd2Tr6Ah0j69YsWKOfjsAY1HxHuzVq1frPh09 enSjILqP6KcZ7rrrLl31EhIS6BUT2lcqbd26VfvkjiAuLo5WHGFvVtWTfB2N Ds9XFtG7RPLkyaOdx2EG8corrwSCd1tsXujNGAmpeVJSEpKe8fonNKc3iQU0 DwI7KkyYBvbQoUOpMP6j2xWmh4j2gMSzSPA7urJaqVIl7XbxWhLdu0fEnBHG ar/n1DRbMucie8jYulX2MMXq1DDEosX5oG7dujavFUJzZ8+enbzYuDZAPJug XffoKI+ZwtnDt7iw9YIFC86dO3fOnDnR0dGDBw9u37699skIJBNEo0pbF3MB 7TurjcDEp0yZguhC5929e/e0adMKFy5MXzR99Eb8NIzunjtyFC0iwkRD/FIV 5ib0yA9m31ofp1uWr776akxMzM6dO5F+UYFRo0aJRaqLFi3S7hwFzv4D/eIV ep/YIpN2PM9+sbGxVFWM4XFq6JLI8xjk00ZHvxvLpEpovmXLlkBwaozOBePD BO3ixYv0Q6KkeZkyZcQVHkeFCdPA3rt3L7lbpkyZtJdMExMTyVkQ87pYXbFi xcaNGzGdxEFxxFatWlG/QK7+/fffdSdFt3cxd8OMGJGMKqHL0EQAG2VegZJG ti6ZPVKD1+qpGy5YsIC+gq5BW4zeZJU9TLE6NfGCoNKlSy9evHiJGcIumzVr RoXR9GJB3fXr18ePH09TZuxEu3NHecwUzh6+xYWtW3HPPfd07twZQR6+p8vb +v/+edljuXLl7EuKl8RqQcD36tXL9JUdNh1T/KpCIPg7SuJpNXQTcZmL0D1G Sv1IYLwRNmnSJBuFZ8yYEVIQz7MfRhpidV8g+FSv+D8mOPLvpGIISVu34t57 79X+loejwoRVYIt3OwSCD2i88cYbMHSap4Nu3brp9iNeEqsF9k3PtemAX9D6 6kBwtTxN6gPBHiFzjyA1bWxdPnsA8WuPRtARdIU9sfUXXnjBpnEJkRMwnBM/ 7pY5c+aKFSu+/vrr9BPngeBPWWGEptu/fB4zhbOHb3Fk6+KngQn0CEQC5rxV q1bFDPTEiROeGLojW2/QoAFVBnMH+5I6W8+TJw+qLV6CYaRu3bpU0nQhMfxX zLhFlBqX8cTHx7/zzjuivwiQIubOnWvcbXR0tE0XxpQ/pCDUkXU/VGeFpMgY 9kRFRWkfSc6YMeOrr76anJwscxRGS0jNEfy9e/fW/vQ5gSEoZje6e9+OChM2 gY1Jt3hAVYDZ3MKFC4370do64uGJJ57ALMzmmuq2bdtKlSqlHdnCa6ZOnWon loa0CGz57CEqYErx4sV1he2zh+mejadm+kvoOjAdFuUhfvfu3emVBQJk6ZYt W1q9NU4yj5nC2cO3OLJ1lchfRpPk+vXrmzZtgpkuXrzY+NSnux3u3r0bO1yy ZIn9Dq9cubJnz56VK1dOmzbtl19+sX+HlUociYzuiakfhhbr16+X+fUQxhR5 zc+ePYth4fz582fNmpWQkGCvuaPC9hw+fBg2h4SPnrJv3z6rx6hPnTr1008/ wVbQreQfP0E9ly9fjl6TpjM1z7PHTcRff/2FSJg5c+aUKVM2bNgQ8jF8+Tym g7OHb4kcW2eMsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjq Yc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzr kQyLrB7WXAEssgJYZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJY ZN/Cth7JsMjqYc0VwCIrgEX2LWzrkQyLrB7WXAEssgJYZN/Cth7JsMjqYc0V wCIrgEX2LWzrkQyLrB7WXAEssgJYZN/yP4ZhGIZhGIZhGIZhfEl6XzNgGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZh GIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIZhGIa59fl/PT5Oiw== "], {{0, 280}, {669, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{334.5, Automatic}, ImageSizeRaw->{669, 280}, PlotRange->{{0, 669}, {0, 280}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.780052483895699*^9, 3.780052520755934*^9}, 3.780052569607688*^9, 3.78005418761773*^9}, CellLabel->"Out[2]=", CellID->763343422] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["Possible Issues", "Subsection", TaggingRules->{}, CellID->158766396], Cell[TextData[{ "If the second variable is numerical or has missing values the resulting ", 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", ContentPadding->False], MouseAppearanceTag["LinkHand"]]], "InlineFormula", FontFamily->"Source Sans Pro"], " would not have a tabular form:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.77962385969*^9, 3.7796239154573708`*^9}, { 3.779626346940111*^9, 3.779626362206788*^9}, {3.780334165011393*^9, 3.780334166732645*^9}, {3.780336478318838*^9, 3.78033647973698*^9}}, CellID->740141777], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"sarr2", "=", "iwPairs"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"sarr2", "\[LeftDoubleBracket]", RowBox[{"2", ",", "1"}], "\[RightDoubleBracket]"}], "=", RowBox[{"Missing", "[", "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"sarr2", "\[LeftDoubleBracket]", RowBox[{"4", ",", "2"}], "\[RightDoubleBracket]"}], "=", RowBox[{"Missing", "[", "\[Infinity]", "]"}]}], ";"}], "\n", RowBox[{"CrossTabulate", "[", "sarr2", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.779623670979815*^9, 3.779623728377858*^9}, { 3.779623980204184*^9, 3.779623981608807*^9}, {3.7796262401445932`*^9, 3.779626241268969*^9}, 3.780336517788785*^9}, CellID->301123611], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsnXt8Ddf6/3fcKepe1K0c6t5SpW51Pw4tekSbqrtQp6oUlV/b0OMWt9xK kMhpEOISVDRBQpAIp2hCQlzSECEhEpIQR6uttn7Pd69X12vOzF57z75k75nT z/uPvuy1nlnz7Nlr3vPstWfSFybPGvl+GYPBMLcS/WfkpP/Xb86cSZ+516AX b8+c+8G0mVOnDJn5ydRpU+e8NrksNdYqbzBcczMY/u/fTwEAAAAAAAAAAAD0 ye9GHD7s9wAAAASYkWeBETgZAACchsicv/zyS6aRJ0+elIaTH2oY7WcIRJif 1QBoGfOzNz8/nwU4vFTWvvG0nyEQAScD/WJm9vIiuTRKZe0bT/sZAhFwMtAv ZmYvK5KLjDi8VNa+8bSfIRABJwP9Ipq9rEi+du3ab0auXr1KL6nRsft19blr Du1nCETAyUC/iGYvL5LZS1YqU6Nj9+vqc9cc2s8QiICTgX4xOXupHqZGViSz FvoHvXRgqax942k/QyACTgb6xeTslRXJDMeWyto3nvYzBCLgZKBflLNXWSQz WKlMXQ4plbVvPO1nCETAyUC/KGcvK5KLi4uVwQ4slbVvPO1nCETAyUC/yGav qEhmOLBU1r7xtJ8hEAEnA/0im71mimQGdTmkVNa+8bSfIRABJwP9Ip295otk hqNKZe0bT/sZAhFwMtAv0tlrsUhmOKRU1r7xtJ8hEAEnA/3CZy8rkonbt2/f MQsFsEh7SmXtG0/7GQIRcDLQL3z2surXKixW1Bb36+pz1xzazxCIgJOBfnHV 7NW+8bSfIRABJwP9oi8n5+XllcYpbBJ7nBwVFTVv3rzFixc7NiWgktKe1f/5 z39Kb3DwJ0cXTo6JiXnrrbeaNGliMBhq1qw5YMCAVatWlepJ/dA+J3/44YeU aq1atXjL/PnzWxpJS0tzTH5AjLWz+vfffx80aFDXrl2/++47M2FHjx59++23 mzVrxj7cwYMHr1mzxu5TAYD/QvtODgkJKVeunEHB+PHj79+/X9rntW3bKp3s 6enJ0j59+rRj8gNirJ3Vu3btYp9OXFycKCY8PLx8+fLKeThlypRff/3VEecE AP+Hxp2cmJjIZn6dOnWWLFlCp8zatWu7dOnCGhcsWFDa57Vt2yqdHBAQMNDI 5cuXHZMfEKNyVkdGRq5YsWLYsGFly5Y17+Tk5GQWUK9ePV9f36SkpLCwsG7d urHGpUuXOvr8AH9eNO7kSZMm0Zyn+uTw4cO88ebNm82bN6f2pk2blpSUlOp5 bdu2SicDZ6JyVrPVMCkiJ0+bNo16K1SocPLkSd5YXFz8l7/8hdpfeOGF33// 3WHnBvhzw2ev8lY3Ndi5X/NnVn5+frVq1WjODx06VNbl7+/PTqKYmJhSPa/V RF68eJFqJw8PjyFDhkydOpW+5NJ/ZU5OSUkJCQkJDQ198OCBbPNDhw4tXLhw 3Lhx7u7us2bNWr16dUZGhjSASjLa9tSpU7Ttnj17vLy8aEeenp7BwcH37t1T 5kOuiIiI+OSTT+i4jRkzhkpBMwsmFvfOyM7Opt3RtWbw4MHjx49ftmwZvWs1 B8clqJycfn5+nxsZPXq0GSf/8MMP1atXp94RI0bIutatW8c2PHr0qM3nAgBS tOxkmudswvv4+Mi6+HfJzz77rFTPa4thX331VdWqVZXLjDIn01tgjXfv3uWN VPD37t1buaGbm9vcuXN5GJVn7MLEF2049PX5+vXr0nzS09O7du0qC6Pv5iRe 2eVA5d4J+o5ft25dWRi966CgICsPqpOwdnLyJTKTTqYrGuulSkDWdfnyZdZF h9fmcwEAKVp28o4dO9iEj46OVvayH1yoXCyVs1qdkzdu3MgyLFOmDJlw7Nix b775JqlYpZMHDhzIGtu2bTtx4kSqrrt3716pUiVqeeedd3gYczK3a8eOHXv0 6PHMM8+wlkGDBvHIW7ducXlSDNW9VAA/99xzrGXOnDnS5FXufdOmTSysXr16 H3300apVq2bOnMnfY3x8vI3HtzRxrJO/+eYb1nvkyBFlL/t0PvjgA5vPBQCk yJxcetPe5H7N72LNmjXsXEhISFD21qxZk7qGDRtm3emqGosZ5ufnN2zYkLn3 4MGDvL24uJicZtHJvMQixUmHpbp3xowZ77//Pm9hZ325cuWoPTc3lzVmZma2 b9+ejfDtt9+yxtmzZ7MW+lYuHZBVzjQOX3BQufe8vLwGDRpQWM+ePXNycqRh 7L3TyGaPomtwrJNDQ0NZr8k75djlaeTIkTafCwBI0bKT58+fz86F5ORkZW+j Ro0Mxi/v1p2uqrGYYWBgIEtv7dq1si7lb3xKJx84cIC1KFdmZDAny6pc6Qis q7CwsGLFiqxClkUmJSWxSErMqr2ztCkB5SIzad9gXOgwuabtWhzr5CVLlrBe upApe9kPhXTMbT4XAJCiZSd7eXmxc+HcuXPK3qZNm7rWyeyW42effbaoqEjW pcbJBQUFVapUMRhv81u2bFl2drZoR8zJdDSUXbVr16auUaNGPTT+jCi6RhDt 2rWjrgEDBli1d/bjV+PGjb9WYP6K6Voc6+QFCxawXvpuoux94YUX4GTgQLTs ZF9fX3Yu/Pvf/1b2Mh0NHjzYutNVNRYz7NWrFyXw0ksvKbvUOJkYM2aMQUKL Fi3c3d337t0rG82Mkzt06MAvTJGRkWwck8vvQ4YMoa5mzZpZtXflr4pKSu/W F5txrJODgoJYb1pamrKXLeC/8cYbNp8LAEjRspPDw8PZuSC9OZnDfo0aN26c daeraixmyO6R7t+/v7JLpZMfPHjw5ZdfsoVxKeTYU6dO8TAzTqYrAndycHAw 25wMo4wcOXKkLCU1e6cKmVpq1KjxhpgzZ86YOUouwbFO5k/5UW2g7K1cuTJ1 TZ482eZzAQApWnZybGwsOxdCQ0NlXVevXmVdylVWR2Exw+7duxvsq5MZ1ELv dPHixcOHD2f3wRJt2rThAWacXL9+fery8PCgfx88eJBtu2PHDmXk66+/Tl3t 27e3au/sZjmqxs0cBw3iWCcfP36c9W7dulXWdefOHdb12Wef2XwuACBFy04m 8bq5uRmMf9pC1sVv0AoJCbH6jLXmDZoJIBNSAtWqVVNq1ionS8nLy+PLBfzG Y5GTU1NTWSR7xjwjI4P7QRZZVFTEvmKPGDHCqr1PmTLFYPyN78aNG2Y21BqO dTKJt0yZMgbjn7aQde3cuZNtSN/pbD4XAJCiZSc//OMe2jp16mRlZfHGkpKS AQMGGIyPLdD5YstJq/oNmgngP8fLflMjs/Xr18+ik0+dOrV7927lsN7e3izy ypUrrEXk5FGjRrHIpKSkh8bDwv5kWe3atfPz86WRlCGLXLlypVV759c+d3d3 ZTCpvvSuifbgWCcTf/vb3wzGO7QLCgp44++//z548GB2XX706JHN5wIAUjTu 5C1btrCTpUePHqQR0k5mZub06dNZ44QJE+w4cVW9QTMBubm57NFvcmZgYGB6 ejpl6Ofnx27ctejksLAwg/G+3z179rDbHkiksbGxzKtNmjThj90xJ7dp02b9 +vWXLl2i/R47dmzYsGFswDFjxvC98MP16quvnj9//qHxZukNGzawNU8aubCw 0Nq99+nTh41J10dyF41AKj5x4kRAQECLFi2ovfT+5IjNqJycJNIHRmJiYth7 pOsUa5E5ltpZwOuvv37hwgWyMV15P/74Y9Y4depUm08EAGRo3MmkFKrQDH/A bt9itGrVqlT/xpqaDHmpbBI1TubUrVuXfUE2GJ8KlK4JS5/jk9G6deurV69K UxoxYgTvpe8X7I5lduiioqJ4mPq9k9vZr5m8V/anU/XrZHY7pUnoCiiNfPLk ybvvvst7+UOULDInJ8fmEwEAGRp38kPjV/JZs2ZJ/6YEOWHQoEE3b9609ZS1 4g1aDAsKCuLeMxhvUfD392frybVr1+Zhy5cvZwH8CQsq+GfPns2Lak7v3r3p G7R0F8zJ7dq1k7qxevXqnp6e9FVamZKvr6/sT3C88sorZ8+elcao3ztBOXt7 e/Pnqbmc+/fvT6W7yuPpTFROTvalwCRt27aVBVNt7OXlxb4ZMcqXLz9kyBB7 /q+UACjRvpMZZOaUlJTw8PCjR4+a/5nMUajPkL7OJyQkUG6UofLPvlkkOzs7 MTExMjKSBjH57AZfT6aDkJGRER8fTzsyX51SGiThiIiI/fv3m/95zuLepdBQ tPd9+/bR4HwZRIPYOTnNQGa+cuXKrl27Tp8+/fjx49LYBfiToxcnOx/tZGjm XjhgktJzMgClDZwsQjsZwsnWAicD/QIni9BOhnCytcDJQL/AySK0k2GnTp3a tGkTEBDg6kR0A5wM9AucLEL7GQIRcDLQL3CyCO1nCETAyUC/wMkitJ8hEAEn A/0CJ4vQfoZABJwM9AucLEL7GQIRcDLQL3CyCO1nCETAyUC/wMkitJ8hEAEn A/0CJ4vQfoZABJwM9AucLOJ7AABwEXCyEtd8EgAAACebQvsZAhF2Tk4AXAic LEL7GQIRcDLQL3CyCO1nCETAyUC/wMkitJ8hEAEnA/0CJ4vQfoZABJwM9Auc LEL7GQIRcDLQL3CyCO1nCETAyUC/wMkitJ8hEAEnA/0CJ4vQfoZABJwM9Auc LEL7GQIRcDLQL3CyCO1nCETAyUC/wMkitJ8hEAEnA/0CJ4vQfoZABJwM9Auc LEL7GQIRcDLQL3CyCO1nCETAyUC/wMki7MkwKipq3rx5ixcvdmxKQCVwMtAv cLIIezL88MMPDQZDrVq1HJqRy7hy5cqFCxdycnKUXfPnz29pJC0tzfmJiVAz ObOysgaZZf369TZPbwBsBk4WASdz6I3Q26E3pezy9PQ0GDl9+rTzExOhZnKe PXvWYBZ6vzZPbwBsBk4WASdzzDg5ICBgoJHLly87PzERVjm5b9++75ti586d Nk9vAGwGThYBJ3PMOFmbWOVkuBdoCjhZhPoML1686Ovr6+HhMWTIkKlTp4aH h9N/ZU5OTk4OCQkJDQ1lL/Pz8+Pi4ujlnj17WEt6enpYWJiXl9ekSZNGjBgx bty4uXPnbt++/cGDB7LdSYfKyMgIDAx87733/v73v1MO58+fZzGFhYURERGz Zs0aPHjw5MmTN2zYUFJSIh3k3r17MTExPj4+M2bMoMyHDRtGe1y0aNGlS5ek YampqbSvSpUq0dvp169fiAQagQJSUlJYMjzPbdu2hYg5duyY7O1kZ2cHBweT 8CnV8ePHL1u2jI6nmsNuBjgZ6Bc4WYTKDL/66quqVauaXJCUOnnhwoWsMTc3 l74XlylThr0sX748C+jevbvJQZo2bUoSlu6RD0USlu26evXqp06dSkxMbN26 tWwcul5I9U5CNrm7smXLfvTRRzwsICDAZBjBDg5Znb28e/cu2+T5558XbUJM nDhR+l4iIyPr1q0ri6E3FRQUZO3nJQVOBvoFThahJsONGzey85oc27Vr17Fj x7755pvsm75B4OSGDRtK/SNzMhl46NChU6ZMoaq1VatWLKZFixYFBQXKofhe qIKlGPayWrVqTPj0306dOnXr1o1VucTmzZv5IMzJFSpUoP2OHj2aLhO038qV K7NIrsQdO3ZQgJubGzXWq1evu4QbN248NOVkd3f3Xgr4Nejzzz/nOWzatIk1 0sh0IVi1atXMmTP50YuPj7fzszM/A7mTqXrPycm5devWkydPbJ7PADgKOFmE xQzz8/OZYEkjBw8e5O3FxcXvvPOOyMlEjx491q5de+bMmXPnzkVHR7MAqhip RbaLWbNmsU0OHTqkHKpx48a0FV+UoCsCayeFTps2jd+6RmUzmZ/aybrSd7dt 27a8vDzp7i5cuMCq1j59+kjbzawnK52s5MCBA1R+UwxdIIqKilgj7bpBgwbU 2LNnT+lddtevX2dHla5xogEtYpWTOXTcnnvuObo6ZGZm2jyxAbATOFmExQwD AwPZuUyClXUpf+PjIl2zZo1sadcMJAe2lb+/v3Ko27dvS4OPHz/O2hcsWCAb h64C1N6uXTuLe5w4cSJF1q5dW9poj5MvX75Mo1EA6e7q1auyDalQz8jIkG3i 5+fHDMmWrG3ANidz6JvFyZMnbZ7bANgDnCzCYobs1txnn32W134cM05W/mbH IVdTqUxG8vDw6Nu3b4cOHfhCxxdffGFxqBs3brB25fODY8aMMRiXCGTtWVlZ dEGZOnXqkCFDOnfu3KxZsypVqlBkuXLlpGE2O5mkSsMajEs0hw8flnaNHj2a lfpfK5g/fz4bU7aQrh41k7OgoGDFihUxMTG0Fwo+ffr05s2b+ao+XUfokmfz 9AbAZuBkERYz7NWrF528L730krLLBienpKTwBWQlapxMAhQ5md0HUrduXd5C 23p5ebGFYiWOcvK4ceNYL32nkHV16dJF9GY5JEyTx8oi9kxOnnNERITN0xsA m4GTRVjMsHnz5nTm9u/fX9llrZOTkpL4HRSdOnX6+OOPg4ODv/nmmxMnTqh3 MpXrIidPmzZN5uSRI0ey4MqVK1MVvXTp0h07dsTHx7O1C4c4ma/tkOWUG1KF TF01atR4Q4xygV0l9kzOjIwMljZ9CjZPbwBsBk4WYTFD9j3XIXUy/y1v3bp1 si5WyjrWybdu3WI3QlCxmpmZKY309vYWOXn69OnKzEVOJr2zHxY7d+5sclm4 d+/e1NuhQwdll/3YMzkfP37M3tF7771n8/QGwGbgZBEWM/Tw8DAY7z1TlojW Orljx47U1bJlS2VXaTiZSmIWGRYWJos042RPT09leiadfPXq1fr16xuMq7Ki Z66nTJliMP7Gx+6pcyz2TM60tDT2jug42zy9AbAZOFmExQyXLFnCTl7ZfRd5 eXn9+vWzyskvvPCCwfgbXHFxsbSd30rhWCeHhoaySF9fX2kYFbTDhg1TOrlN mzYGxQ1yDKWTKY3XXnvNYHz85MCBA8pNGPzmZHd3d2UvDRISEiLa1iJqJufe vXupJFa281WdmJgYm6c3ADYDJ4uwmGFubi4VyazYCwwMTE9PP3XqlJ+fH79Z Qr2Thw8fznpJngkJCTdv3oyOjp48eTL/Dc6xTj59+jSLbNas2caNG69fv56S kkJXFrZCrnTy0KFDDcaHUEjm+fn5OTk5kZGRbEVC6WT2eyJBlXCqAukhJcmz yIEDByYmJhYWFtJbOHHiREBAAHsERv1NgzLUTE767OgiuGjRIrrw0X5//vnn c+fOvfHGGywluqz89ttvNk9vAGwGThahJkNeKptEvZNJRKRB5QhsSdbhTiZG jBhhJnOZk00+iP29qWer6TuCmWGJl19+mQ97/vx5fhUwGJ0vOwil7WTpvqS3 oNSpU+fSpUs2z20A7AFOFqEyw6CgoIoVK/LTuUaNGv7+/mw9WfrkBXmSnfii e+Go8mRrsFwRVD1SQcuegCMPWxyquLiYbbt06VLZ4B988IHB+NQGb6Ei/913 35VKiYpGusR89tlnBmPlLxuBalepxEie165do/bly5ezFlY237lzx7yTO3fu LB2WtvL29ubPU3M59+/ff/369RYPvgg1k5MypwuELD16XxMmTKCK3eaJDYCd wMki1GdIp3BCQkJ4eHhKSoqZR0IsUlBQcPTo0Y0bN0ZHR8tuhyglLl68uHPn zm3btiUmJt6/f998MNXh9AZjY2PPnDlDb9mxmdy4cSM+Pn7fvn1nz561f3D1 k5MuCrRHOuB79uyho/Hzzz/bPKUBcAhwsgjtZwhE2Dk5AXAhcLII7WcIRMDJ QL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WcIRMDJ QL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WcIRMDJ QL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5ws4nsAAHARcLIS13wSAAAAJ5tC +xkCEXZOTgBcCJwsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIn i9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIn i9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIn i9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySLUZOjt7T1v3rwD Bw44JyWgEjgZ6Bc4WYSaDCtUqGAwGLy8vJyTkv3cuXPnwoUL6enprk6kdLE4 OU+ePDnIEuPGjbN5egNgM3CyiP9JJ/v6+hqM3Lp1y9W5lCIWJ+euXbsMlmjc uLHN0xsAm4GTRcDJ+sXi5Dx37tz7YurXrw8nA1cBJ4uAk/WLPZOzoKCgatWq dIiGDRtm8/QGwGbgZBHWOvnAgQOff/750KFDR48e7ePjc+fOHVlwenp6WFgY BU+aNGnEiBHjxo2bO3fu9u3bHzx4IItMSkoKCQnZunWrco/0pZu6Dh8+zFuS k5OpJTQ0lP6dlZW1du3aiRMn/u1vf5s5c2ZcXJx0Wxrw7bffZk4OCAgI+YNj x46pPir6wJ7JOX36dDo+ZcqUOX/+vM3TGwCbgZNFqHfyu++++9e//lW2Gtm8 eXPZT2ndu3c3uW7ZtGlT8qo08oMPPqD22rVrK/fYtm1b6ho5ciRvWbhwIRsn MDCwRo0assG9vb15ZJ06dUwmMGHCBBuOj5axeXLSVuXKlaNjMmbMGJvnNgD2 ACeLUO9kTuvWrfv06VOzZk32ctSoUdJg5mQyMNXSU6ZMoTq5VatWLLJFixb0 lZlH2uZkRvXq1SmH9u3bs5dU73Hhv/HGG02aNGHtXbp06f4HS5cutfkoaROb JycdWDo45cuXv379us1zGwB7gJNFWOXk0aNHZ2Zmssbs7GwmWzc3t7t37/Lg yMjIM2fOyEaYNWsWG+HQoUO80TYnP//881u2bOErIX5+fqx9zpw5PBjryWb4 9ttv2cGZMWOGzRMbADuBk0WodzKdwrJ2Hx8fdnanpKSYH4FMziL9/f15o21O vn37tjSyuLiYLWVIg+FkM/Ts2ZOOzDPPPJOfn2/zxAbATuBkEdb+xieF3/56 8OBBaXtJSQmVylTBenh49O3bt0OHDg0bNmSRX3zxBQ+zzcnK3wo7depE7b16 9eItcLKIqKgodmTmz59v86wGwH7gZBH2ODkuLo6d4NLHrqlm5gvISkrDya+/ /jq1U/nHW+Bkkzx58qR169bsmNN10+ZZDYD9wMki7HHy4cOHZU5OSkpid70S VL5+/PHHwcHB33zzzYkTJ0rPyf369YOT1RASEsJXkGye0gA4BDhZhGOdzH/L W7dunSzYzc3NpJOrV6+u3KOjnJybm2v+rekaqybno0eP+IN7P/30k81TGgCH ACeLcKyTO3bsSC9btmypHETpZCZwaldq1k4n85sxsrKyzL81XWPV5Fy0aBE7 JmFhYTbPZwAcBZwswrFOfuGFF+hlvXr1iouLpZHHjx9Xrl1wc8bGxkqDk5KS atWqZY+Tt27dyoKlt97976F+cubn57M1pTZt2vz66682z2cAHAWcLMKxTh4+ fDhrmTZtWkJCws2bN6OjoydPnsyKZJmTScWssVWrVvHx8deuXdu3b9+ECRN4 sM1OPnnyJAvu3r37xYsX6QLx3XffUT7WHx5No35ysmUiYu/evTZPZgAcCJws wrFOPnHiBHtoV0b58uWVTibYvbIy+Ag2O/mhqUe8/7TPVn//x5PU3bp1s3km A+BY4GQRajKsVKkSndGffvqprP3IkSPKxYfIyEj2WxKDit6BAweePn26bNmy 9JLUKh0hIyODGZVDLqVg9tC09KntxYsXGwSLzwMGDKCu3r17SxupPO7bt690 ZCrd1R8WXaByco4dO5YdgWPHjtk8kwFwLHCyiNLIsKCg4OjRoxs3boyOjubP YosoKSlJTU3dsWNHVFTUzZs3HZtJdnZ2fHw8uchiGnrEzskJgAuBk0VoP0Mg Ak4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0VoP0Mg Ak4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0VoP0Mg Ak4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0V8DwAA LgJOVuKaTwIAAOBkU2g/QyDCzskJgAuBk0VoP0MgAk4G+gVOFqH9DIEIOBno FzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0VoP0MgAk4G+gVOFqH9DIEIOBno FzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0VoP0MgAk4G+gVOFqH9DIEIOBno FzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0VoP0MgAk4G+gVOFqH9DIEIOBno FzhZhPYzBCLgZKBf4GQR2s9Qy1y5cuXChQs5OTku2bvFyXny5MlBlhg3bpzN 0xsAm4GTRWg/Qy1Tq1Ytg8Hw4YcfumTvFifnrl27DJZo3LixzdMbAJuBk0Vo P0Mto3Ennzt37n0x9evXh5OBq4CTRWg/Qy2jcSeboaCgoGrVqpT8sGHDbJ7e ANgMnCxCTYZhYWEhISGnTp168ODBnj17vLy8hgwZ4unpGRwcfO/ePWlkcnIy RYaGhrKX+fn5cXFx9JK2koadPXvW19d33LhxNM7s2bM3bdpUWFhocteHDh1a uHAhRbq7u8+aNWv16tUZGRnKsOzsbEqG3Dh48ODx48cvW7bs4sWLoreTlJQU GBg4ZcqUd99999NPP926devdu3dZV3Fx8YYNG+gtpKamyra6cuVKiJG8vDx6 SQH070qVKpHW+vXrFyJBekxowIiIiE8++WTo0KFjxoxZsWLF6dOnzRxh9vL8 +fNbtmyhw2LmXTy0b3JOnz6dMi9Tpgzty+bpDYDNwMki1GRYoUIFOn/JKl26 dJGtRnbr1u369es8kvzJ2nNzc+nbMZ3y7GX58uV5zKpVq9iAUjp27JiSkiLd 6c2bN3v37q1c/3Rzc5s7d640MjIysm7durIwKgKDgoJkb+TWrVukd+WYzz77 LDmQAnJycliLv7+/bFtSK+tieQYEBIhWaPnxTE9P79q1q6y3bNmydJTo6qY8 wnSx279/f4sWLXjwP//5TzOfi82Tk7YqV64cjU+XCZvnNgD2ACeLUO9krhTy Z48ePZ555hnWMmjQIB7JndywYUOpiLiTFy1axFroW/9777338ccf9+3bl7VU r149KyuLDzVw4EDW3rZt24kTJ06dOrV79+6sLn3nnXd4GBWTLKxevXofffQR CX/mzJlsSYGIj4/nkUVFRTQUa2/cuPHbb7/t4eHx4osvspb58+c/tMbJO3bs oHzoAsF23V3CjRs3Hhr9z68UdLioyKfLwXPPPcda5syZozzCNWrUkAm8lJw8 cuRI9qHQ9dTmuQ2APcDJItQ7mSqrGTNmUAHMGjMzM9u3b8/U8e2337JG7mQm orVr1545c+bcuXPR0dHUS8qtVq0addGG0iWIDRs2sE0mTZrEWi5fvsxaSLDS TMghlANV4OxlXl5egwYNKKxnz57SG9IojF0UqEzljYsXL2ZjTpgwQbq8QN7u 1KmTtU5mmFlPnj17Nov38/OTJsYqZzqk0nUJftWrUqUK6ToqKop6ExIS0tLS BJ/J/2Hb5KQPi+2LjqTNExsAO4GTRah3sqy0Iw4cOCCr+riT16xZU1JSIov/ /PPPWS99Q5d1DR061GBc3mRFJh/Zx8fHTGLUy/ymXGQmExqMCx1Mv8XFxaQ7 amnZsuX9+/dlwZQqu9Y4ysmFhYUVK1ZkFyZZV1JSEhtHuhU7wq+++qr5BWQZ tk1Oun7RvuhrTn5+vs0TGwA7gZNFqHeyl5eXsqt27drUNWrUKPaSO1m2Xspg X5mff/55Zde2bdvYhkeOHKGXBQUFTKF16tRZtmxZdna2ycRGjx5tMC5EfK2A 6l42YHJyMkVSrc5erlq1ysw7dZSTKYYF0zcF5V7atWtHXQMGDOAtZo6wGWyY nFSBs8To+Ng8qwGwHzhZhJ1O7tChg8H4Sx97ad7JL7/8MnW99tpryi5ePW7Y sIG1jBkzxiChRYsW7u7ue/fulW6l/M1RSUxMDEXu3LmTvZSNIMNRTo6MjGTB bNFGxpAhQ6irWbNmvMU5Tn7y5Enr1q1pR3Qlpa8GNs9qAOwHThZhp5Nfeukl 9U5u0qQJdQ0ePFjZxQtLvvpKI3z55Zc1a9aUOZb2xe8ZowrZYPxp7A0xZ86c oUiqV9nmCQkJZt6po5wcHBzMghMTE5V7Yd8XaFve4hwnh4SE8Hdn85QGwCHA ySLsdDJ7FszDw4O9NO/kXr16GYy3vSm74uLi2Ibbt2+Xtt+9ezc2Nnbx4sXD hw+vXr06i2nTpg3rZTfLUa1u8W0ePHiQbbtt2zYzYdzJy5cvl3WZcfL06dNF u9uxY4dyL6+//rrB+EMnb3GCkx89esQf3Pvpp59sntIAOAQ4WYQ9Tk5NTWXm WbBgAWsx7+Tx48cbjL8usccupKxcuZJtyMpak9BWfLGC3RQ9ZcoUg/E3PvbL oBmuXbvGNpTdyCEjPz+fhX366aeyLjNO9vT0lAVnZGSw4M8++0zWVVRUxO6R GzFiBG90gpP5XYhhYWE2z2cAHAWcLMIeJ48aNYqd5klJSazFvJP5d+clS5ZI 24uLi5s2bWow3ujLbpM4derU7t27lSN4e3uzEa5cufJQcnOyu7u7MpjsR3vk L9lCR5UqVTIzM2WRZ8+epWqc/ZtplipwaQBlReJVOpkqdmrp06ePbMCSkpJm zZoZjCu35HlpF19FocsQbyxtJ1MO7ElqSvjXX3+1eT4D4CjgZBHqnUyn8/r1 6y9dupSbm3vs2LFhw4Yxt4wZM4ZHmncyNbJbDsqVKxcQEMCep6aSkpzGtuJP 3lEtZzDedbxnzx520wVZhbTJRNekSRM+Pt924MCBiYmJNCap+MSJEzQ+eyCO 35K3Y8cOFtmoUaO9e/cWFBRQV3JyMlXOFStWZPcnP/xjPcRgvDMhPT2dDLx6 9ermzZsb/kDqZH4LX2hoKGWYk5MTGRnJLitbtmxh8a+++ur58+cf/vHgduXK lQ3GH/ikj5OXtpM/+OADlgy9cZsnMwAOBE4Wod7JJmnduvXVq1d5pHknE4cP H+bLwuXLl6fCmA81YMAAvhVzMoe+7PPHtOkf0kVa0p1UmNTLnhrmSG+Tlj5Y 7ebmJn1f3Mn81mgZZcuWVTo5JiZGGcmP54gRI3hjnTp12B3LBmOtHhUVpTzC peTk7/94krpbt242z2QAHAucLEK9k6nEldqP1Epf56nalEayZ+VIdyInExcv XuzRo4dUYlQ6yv4ERGZm5uzZs2UPaBuMSwpxcXGyAaku9fb25s9Tczn379+f CntZMPlc+gcliJo1a/7jH/9gpSxj7dq17Js+o1q1aosWLeJ179mzZ6UDUkHO Hk5kkP2uXbvGe319faVDEa+88opsBII9M65cxDaPysk5duxYtmv6dmPzTAbA scDJIqxaT6aaMyMjIz4+nmpF5WN6VpGbmxsbG0uiS05OVj5Yx8nOzk5MTIyM jExISBA9OcK5ceMG5bZv3z6SnugPzTFu375NA1KVm56ebvLyQQFU0m/evPnM mTNmri+MoqIiOiD0dihYuV/anPKJiIjYv3+/xd8ircLOyQmAC4GTRdjzGx9w LXAy0C9wsgg4Wb/AyUC/wMki4GT9AicD/QIni1CTYadOndq0aRMQEOCclIBK 4GSgX+BkEdrPEIiAk4F+gZNFaD9DIAJOBvoFThah/QyBCDgZ6Bc4WYT2MwQi 4GSgX+BkEdrPEIiAk4F+gZNFaD9DIAJOBvoFThah/QyBCDgZ6Bc4WYT2MwQi 4GSgX+BkEd8DAICLgJOVuOaTAAAAONkULMNfAADAicDJIuBkAIDzgZNFwMkA AOcDJ4uAkwEAzgdOFgEnAwCcD5wsAk4GADgfOFkEnAwAcD5wsgg4GQDgfOBk EXAyAMD5wMki4GQAgPOBk0XAyQAA5wMni4CTAQDOB04WAScDAJwPnCwCTgYA OB84WQScDABwPnCyCDgZAOB84GQRcDIAwPnAySLgZACA84GTRVjl5MePH982 Qv8o1c/LDEeOHDl37pyr9g4AcAhwsgiVTs7KygoNDfXx8Vls5NKlS6LI5OTk 6OjoH374QeVHY1X8zz//THvfsmWLysEBANoEThahxsmpqalLly4lGW7btu3w 4cORkZHXrl0TBe/atYsiHzx4oPKjsSoeTgbgfwM4WYRFJ1PMihUrqEK+fPmy mkNtxrFkVKviTY4AJwPwPwCcLMKik5OSkkiDCQkJao4zha1atYri//Wvf200 UlJSQu2XLl1iSx/US8V2QUGBmfi0tDQK9vPzW7Jkia+vL5Xlt27dYvEWnZyY mJiVlaV2WgAAXAScLMKik7/66ivSYHZ2dnJyMin09OnThYWFouCTJ0/6+/sz bW43Qrs4e/YstZBdo6Ojd+/eTaalwvvevXui+Li4OAreuXNnTExMREQE9ZKf qf0XFU7et28fjX/ixAk7JgsAoNSBk0VYdDL5cPF/s3Tp0tTUVFG8bC3i8ePH ZN3ly5dzk587d44Cvv76a5PxxH/+8x/pKkdsbCwFsCQtOpnGYRonpdM4lmcG AMAVwMkizDv5xx9/ZCVuWlra/fv3yXJU9C41UlRUZHITmWPz8vKkBv7F6FUa cPXq1Sbj+ed14MABcm9ISAgFUwC7/03NejLFUJ1MYevXr1c3OwAAzgZOFmHe yT/99BPpd926ddLGmJgYMt6FCxdMbiJzbEZGBr2Mi4uTxgQFBdGwJuOJ6Oho alm2bFlYWNjevXs3b95slZPpwrF7925WKpubEwAA1wEni7C4drF27VofHx/p YsL+/fvJeMnJySbjZY7Nycmhl5s2beIBtNMlS5b4+/ubjC8sLKSXdBUoLi5m LWw5WqWTaXdr1qyh8Y8fP27yNg8AgBaAk0VYdPKePXtIgyRG3vLll19Sy40b N0zG79u3j3pv377NXj569IiUTlUxX92lApsCtm7dajL+ypUr9JJ2ygdMSEhQ 7+SoqCg/P7+rV69anBIAABcCJ4uw6OS7d+8uM3L06NFvv/02NDSUrBgRESGK //e//00BYWFhFBwbG0u7OHLkCLXQhikpKdTLbn7Lzs42GU9yJoHT7mJiYhIT E8PDw9kPiyqdnJaWJlroBgBoB5mTreXP7GR29FhtzKBa9KHxzjST/PDDD1T6 rly5kgWTIR8/fnz48OElS5awFl9f3/T0dDPxqampQUFB7GVgYOD27dvpHyTb X4xOpnF4jQ0A0CkyJ1sr1T+5k38xypAK5ps3b6q8wezHH3+k+EePHklbcnJy 8vPzTS7zKuNzc3Pz8vKwJgzA/yRwsgiVTgYAAAcCJ4uAkwEAzgdOFgEnAwCc D5wsAk4GADgfOFkEnAwAcD5wsgg4GQDgfOBkEXAyAMD5wMki4GQAgPOBk0XA yQAA5wMni4CTAQDOB04WAScDAJwPnCwCTgYAOB84WQScDABwPq51MgAAACVw MgAAaAdXOdnV6xPm0H6GQISdkxMAFwIni9B+hkAEnAz0C5wsQvsZAhFwMtAv cLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZAhFwMtAv cLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZAhFwMtAv cLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZAhFwMtAv cLIIezKMioqaN2/e4sWLHZsSUIm1k/O33367ffv248ePbZ7PADgKHTm5pKSk X79+r7zySkJCQimdy1LscfKHH35oMBhq1arFW+bPn9/SSFpammPyA2JUTs5f fvll3bp17dq1q1ChAn1ebm5uDRs29PT0vHHjhs0TGwA70ZGTw8PDDUb27t1b SueyFMc6mc50lvzp06cdkx8Qo2ZyUtjLL79s+INy5crxf5Oijxw5YvPcBsAe tO/kzZs3L1q0aMiQIWXKlNGvkwMCAgYauXz5smPyA2LUTM5Ro0ax6UQfVlJS 0pMnT86fP79kyZIqVaqwz+7evXs2T28AbEb7Tm7UqJHhv9Gjk4EzsTg5f/jh B1YYv/POO7KukJAQPs1snt4A2Iz2nbx06dK5RnhhozUnX7x40dfX18PDg4r5 qVOnhoeH039lTk5JSaGTPTQ09MGDB7LNDx06tHDhwnHjxrm7u8+aNWv16tUZ GRnSgLCwMNr21KlTtO2ePXu8vLxoR56ensHBwVTLKfMpLi6OiIj45JNPhg4d OmbMmBUrVphZMLG4d0Z2djbtjq41gwcPHj9+/LJly+hdqzk4LsHi5ExOTmZz 6fPPP5d1nT17lnWtXLnS5ukNgM1o38mcgwcPatDJX331VdWqVQ2mkDrZx8eH Nd69e5c33rx5s3fv3soN3dzc6BrEw9gvUCTYLl26yCK7det2/fp1aT7p6eld u3aVhZUtW5bEK7scqNw7ERkZWbduXVkYveugoCArD6qTsDg5Hz16VKlSJXoX bdq0+fHHH6VddDljb/C7776zeXoDYDNwsgg1GW7cuJGlVKZMGTLh2LFj33zz TVKxSicPHDiQNbZt23bixIlUXXfv3p25gr5T8zDmZG7Xjh079ujR45lnnmEt gwYN4pG3bt3i8qQYqnupAH7uuedYy5w5c6TJq9z7pk2bWFi9evU++uijVatW zZw5k7/H+Ph4G49vaaJmctI1jr2FDh06XLhwgTWSn3v16kWNjRo1+v33322e 3gDYjMzJ1mLnfq060bTm5Pz8/IYNGzL3Um68vbi4mJxm0cmXL19mLaQ46bBU 986YMeP999/nLczJ5cqVo/bc3FzWmJmZ2b59ezbCt99+yxpnz57NWvz8/KQD ssqZxuELDir3npeX16BBAwrr2bNnTk6ONIy9dxrZ7FF0DWomJx1J6RcKurSF h4f379+f/t20adPz58/bPLcBsAc4WYTFDAMDA1k+a9eulXUpf+NTOvnAgQOs hbrMZ8KcLKtypSOwrsLCwooVK7IKWRaZlJTEIikxq/bO0qYElIvMpH2DcaHD 5Jq2a1E5OSmSXXGkVKlS5ebNmzZPbADsBE4WYTFDdsvxs88+W1RUJOtS4+SC ggJ221WdOnWWLVuWnZ0t2hFzspeXl7Krdu3a1DVq1KiHxp8RRdcIol27dtQ1 YMAAq/Y+evRoimncuPHXCubPn892l5ycbOYouQQ1k/P27dvdu3en/F988cUv v/xSurTepk0bOpg2z20A7MFOtdq5X6tONK05mS08vvTSS8ouNU4mxowZI63Q WrRo4e7urnx3ZpzcoUMHg/GXvofGX+LYONHR0crIIUOGUFezZs2s2rvyV0Ul MTExZo6SS7A4qymGrb107NiRPhE+J8eOHUuVv8G4UnT8+HGnnAoA/BdwsgiL GTZv3pyS6d+/v7JLpZMfPHhAFVrNmjVlliPHnjp1ioeZcTJdEbiTg4OD2eaJ iYnKyJEjR8pSUrN3qpCppUaNGm+IOXPmjJmj5BIszmp/f3/2ZsPDw2VdoaGh rGvgwIGleQYAYBo4WYTFDNk3X3vqZAa1xMbGLl68ePjw4dWrV2dh9PWZB5hx cv369anLw8PjoeT47NixQxn5+uuvU1f79u2t2jv7Rk/VuJnjoEEszur33nuP vdOCggJZ15MnT9hxoGNbmmcAAKaBk0VYzJBMSMlUq1ZNqVmrnCwlLy+PLxfw G49FTk5NTWWRCxYsoJcZGRns5WeffSaLLCoqYvfIjRgxwqq9T5kyxWD8je/G jRtmNtQaFmc1X7cx+QB169atDca7L0pr9gMgBk4WYTHDJUuWsHxkv6mR2fr1 62fRyadOndq9e7dyWG9vbxZ55coV1iJyMn+wMSkp6aHx7+Y1a9aMXtauXTs/ P18aSRmyyJUrV1q1d35zsru7uzKYVB8SEmLmELkKi7M6ICCAvS/6h6yLPj52 +8rIkSNL8wwAwDTad/KdO3dyjfDfsLZs2cJaqKu0z2szAZQAFcmsjAwMDExP TyfR+fn5sR+PLDo5LCzMYLzvd8+ePey2BxJpbGws82qTJk34Y3fMyW3atFm/ fv2lS5dov8eOHRs2bBgbkEo+vhc6Mqzx1VdfPX/+/EPjzdIbNmyoXLmywfgD X2FhobV779OnDxtz4MCBiYmJNAKp+MSJE2SzFi1aUDtdCxx0yB2GxVl97do1 9vRlpUqVtm7dytvp6wAdE4PxHr8DBw6U/nkAgBw+e3///fffrMSeB53UO5n9 zGSSVq1alfZ5bT6Gl8omUeNkTt26dfkfvqN/SNeEpc/xyaBv2VevXpWmNGLE CN5bp04dVvIZjLfdRkVF8TD1eye3s18zea/0z1oa9Onkp5JnqIm//OUvdI0j G/PDtWDBApvnNgD2wGcvFVTfWwltYud+1ZxfVLOJjPTiiy+W9nltMSwoKIif yAbjLQr+/v5sPbl27do8bPny5SyAP2GRmZk5e/ZsXlRzevfuHRcXJ90Fc3K7 du2kbqxevbqnp2dBQYEyJV9fX9mf4HjllVfOnj0rjVG/d4Jy9vb25s9Tczn3 79+fSneVx9OZqPz2d/LkyW7dusmOAF3m9u/fb/PEBsBO+Oz95Zdf6Dylf9+5 c6fALBRAYRRMm9i5X1efu+ZQnyF9nU9ISAgPD09JSVH+2TeLZGdnJyYmRkZG 0iAmn93g68lUkWZkZMTHx9OOzFenlAZJmEpB0ov5n+cs7l0KDUV737dvHw3O l0E0iFUrcmwtaNOmTQcPHszKyqIvgDbPagDsRzp78/Pz6d9FRUXmN6EACqNg +/fr6nPXHNrJ0My9cMAkrvqVBAD7kc5eVipfvXrVTKlAXRRgZ5H8FE62BjjZ WuBkoF9ks7egoMB8qcyKZOWd9rbt19Xnrjm0kyGcbC1wMtAvstlrvlTmRfKT J08csl9Xn7vm0E6GnTp1atOmTUBAgKsT0Q1wMtAvytnLSuXCwkJlMDU6pEh+ CieD0gROBvpFOXupBjZZKjuwSH4KJ4PSBE4G+sXk7DVZKjuwSH4KJ4PSBE4G +sXk7FWWyr/++qsDi+SncDIoTeBkoF9Es1dWKju2SH4KJ4PSBE4G+kU0e6Wl ssOL5KdwMihN4GSgX8zMXl4qO7xIfgong9IETgb6xczsZaUyC3BskfwUTgal CZwM9Iv52ctKZYcXyU/142QAAHA+InOyUtnhRTKcDAAAZjAjT6qQ+f9s/U/o ZFdnAWzB4qwGQLO4avZq33jazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4 GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4 GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4 GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4WYU+GUVFR 8+bNW7x4sWNTAiqBk4F+gZNF2JPhhx9+aDAYatWq5dCMXMaVK1cuXLiQk5Oj 7Jo/f35LI2lpac5PTIRtszovL+/NN98cNGjQypUrS2POA6AGOFkEnMyhN0Jv h96UssvT09Ng5PTp085PTIQNs/rRo0evvPIKey/vvfdeKU17ACwCJ4uAkzlm nBwQEDDQyOXLl52fmAhrZ/Vvv/02YsQIwx/AycCFwMki4GSOGSdrE2tn9ezZ s+kNlitXDk4GLgdOFqE+w4sXL/r6+np4eAwZMmTq1Knh4eH0X5mTk5OTQ0JC QkND2cv8/Py4uDh6uWfPHtaSnp4eFhbm5eU1adIkqtnGjRs3d+7c7du3P3jw QLY76VAZGRmBgYHkkL///e+Uw/nz51lMYWFhRETErFmzBg8ePHny5A0bNpSU lEgHuXfvXkxMjI+Pz4wZMyjzYcOG0R4XLVp06dIlaVhqairtq1KlSvR2+vXr FyKBRqCAlJQUlgzPc9u2bSFijh07Jns72dnZwcHBJHxKdfz48cuWLaPjqeaw m8GqWb1u3TqmYjpKTZo0gZOBa4GTRajM8KuvvqpatarBFFInL1y4kDXm5ua+ //77ZcqUYS/Lly/PArp3725ykKZNm5KEpXvkQ5GEZbuuXr36qVOnEhMTW7du LRuHrhdSvZOQTe6ubNmyH330EQ8LCAgwGUawg0NWZy/v3r3LNnn++edFmxAT J06UvpfIyMi6devKYuhNBQUFWft5SVE/qw8cOEBvmXY6b948egknA5cDJ4tQ k+HGjRuZRsixXbt2HTt27Jtvvsm+6RsETm7YsKHUPzInk4GHDh06ZcoUqlpb tWrFYlq0aFFQUKAciu+FKliKYS+rVavGhE//7dSpU7du3ViVS2zevJkPwpxc oUIF2u/o0aPpMkH7rVy5MovkStyxYwcFuLm5UWO9evW6S7hx48ZDU052d3fv pYBfgz7//HOew6ZNm1gjjUwXglWrVs2cOZMfvfj4eDs/O4uTMC0tjQ4X7Yty /v3335/CyUADwMkiLGaYn5/PBEsaOXjwIG8vLi5+5513RE4mevTosXbt2jNn zpw7dy46OpoFUMVILbJdzJo1i21y6NAh5VCNGzemrfiiBF0RWDspdNq0afzW NSqbyfzUTtaVvrtt27bl5eVJd3fhwgVWtfbp00fabmY9WelkJbwWpQtEUVER a6RdN2jQgBp79uwpvcvu+vXr7KjSNU40oEXUzOrbt283atSI7ejHH39kjXAy cDlwsgiLGQYGBjIdkWBlXcrf+LhI16xZI1vaNUNmZibbyt/fXzkUWUUafPz4 cda+YMEC2Th0FaD2du3aWdzjxIkTKbJ27drSRnucfPnyZRqNAp577rmrV6/K NqRCPSMjQ7aJn58fu7KwJWsbsDirHz161LlzZ/bFhK6tvB1OBi4HThZhMUN2 a+6zzz7Laz+OGScrf7PjkKupVCYjeXh49O3bt0OHDnyh44svvrA41I0bN1i7 8vnBMWPGsCUCWXtWVhZdUKZOnTpkyBByVLNmzapUqWIw3oEgDbPZySRVpj4q 1A8fPiztGj16NCv1v1Ywf/58NqZsIV095mf1b7/9NmzYMPbZXbx4UdoFJwOX AyeLsJhhr1696Px96aWXlF02ODklJYUvICtR42QSoMjJ7D6QunXr8hba1svL iy0UK3GUk8eNG8d66TuFrKtLly6iN8uJiYkxeawsYn5Wnzx5ko2/e/fu+/8N uwiOHDmSvSR7O/OkAOApnCzGYobNmzen87d///7KLmudnJSUxO+g6NSp08cf fxwcHPzNN9+cOHFCvZOpXBc5edq0aTInk3ZYcOXKlamKXrp06Y4dO+Lj49na hUOczNd2yMzKDalCpq4aNWq8IUa5wK4S87OaH1WLkL2deVIA8BROFmMxQ3an hEPqZP5b3rp162RdrJR1rJNv3brFboSgYjUzM1Ma6e3tLXLy9OnTlZmLnEx6 Zz8sdu7c2eSycO/evam3Q4cOyi77cZSTKdKZJwUAT+FkMRYz9PDwMBjvPVOW iNY6uWPHjtTVsmVLZVdpOJlKYhYZFhYmizTjZE9PT2V6Jp189erV+vXrG4y/ FYqeuZ4yZYrB+Bsfu6fOsZif1b/++mu+AHYryFtvvcVeUqQzTwoAnsLJYixm uGTJEqYj2X0XeXl5/fr1s8rJL7zwgsH4G1xxcbG0nd9K4Vgnh4aGskhfX19p GBW07McvmZPbtGljUNwgx1A6mdJ47bXXDMbHTw4cOKDchMFvTnZ3d1f20iAh ISGibS1i86zGb3zA5cDJIixmmJuby544oGIvMDAwPT391KlTfn5+/GYJ9U4e Pnw46yV5JiQk3Lx5Mzo6evLkyfw3OMc6+fTp0yyyWbNmGzduvH79ekpKCl1Z 2Aq50slDhw41GB9CIZlT9ZiTkxMZGclWJJROZr8nElQJpyqQHlKSPIscOHBg YmJiYWEhvYUTJ04EBASwR2DU3zQoA04G+gVOFqEmQ14qm0S9k0lE/A/gSGFL sg53MiH9M2hKZE42+SD296aerabvCGaGJV5++WU+7Pnz5/lVwGB0vuwgwMng TwicLEJlhkFBQRUrVuQaqVGjhr+/P1tPlj55QZ40GJ+DEN0LR5UnW4NlUCRV j1TQsifgyMMWhyouLmbbLl26VDb4Bx98YDA+tcFbqMh/9913pQKsV68eXWI+ ++wzg7Hyl41AtSv7UsClfe3aNWpfvnw5a2Fl8507d8w7uXPnztJhaStvb2/+ PDWXc//+/devX2/x4IuweVbTFwdKYOzYsQ6f8ACoBE4WoT5D+tKdkJAQHh6e kpJi5pEQixQUFBw9enTjxo3R0dGy2yFKiYsXL+7cuXPbtm2JiYn37983H0x1 OL3B2NjYM2fO0Ft2bCY3btyIj4/ft2/f2bNn7R/cVbMaAPuBk0VoP0MgAk4G +gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0VoP0MgAk4G +gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0VoP0MgAk4G +gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0V8DwAALgJO VuLaTwQA8GcGTlai/QyBCFfNagDsB04Wof0MgQg4GegXOFmE9jMEIuBkoF/g ZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jMEIuBkoF/g ZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jMEIuBkoF/g ZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jMEIuBkoF/g ZBFqMvT29p43b96BAweckxJQCZwM9AucLEJNhhUqVDAYDF5eXs5JyX7u3Llz 4cKF9PR0VydSutg2q/Py8t58881BgwatXLmyNOY8AGqAk0X8TzrZ19fXYOTW rVuuzqUUsWFWP3r06JVXXmEH57333iulaQ+AReBkEXCyfrF2Vv/2228jRoww /AGcDFwInCwCTtYv1s7q2bNn0zEpV64cnAxcDpwswlonHzhw4PPPPx86dOjo 0aN9fHzu3LkjC05PTw8LC6PgSZMmUVU2bty4uXPnbt++/cGDB7LIpKSkkJCQ rVu3Kve4a9cu6jp8+DBvSU5OppbQ0FD6d1ZW1tq1aydOnPi3v/1t5syZcXFx 0m1pwLfffptpJyAgIOQPjh07pvqo6AOrZvW6devYMdmwYUOTJk3gZOBa4GQR 6p387rvv/vWvfzX8N82bN5f9lNa9e3eDKZo2bUpelUZ+8MEH1F67dm3lHtu2 bUtdI0eO5C0LFy5k4wQGBtaoUUM2uLe3N4+sU6eOyQQmTJhgw/HRMupnNV1J y5YtSwdh3rx59BJOBi4HThah3smc1q1b9+nTp2bNmuzlqFGjpMHMyWRgqqWn TJlCdXKrVq1YZIsWLQoKCnikbU5mVK9enXJo3749e1mmTBku/DfeeIM5h+jS pUv3P1i6dKnNR0mbqJzVaWlp1apVo6Ph7u7++++/P4WTgQaAk0VY5eTRo0dn ZmayxuzsbCZbNze3u3fv8uDIyMgzZ87IRpg1axYb4dChQ7zRNic///zzW7Zs 4Sshfn5+rH3OnDk8GOvJnNu3bzdq1IgORdeuXX/88UfWCCcDlwMni1Dv5Bkz ZsjafXx8mPpSUlLMj0AmZ5H+/v680TYnk2SkkcXFxWwpQxoMJzMePXrUuXNn 9rUlPz+ft8PJwOXAySLsue9i165dTH0HDx6UtpeUlFCpTBWsh4dH3759O3To 0LBhQxb5xRdf8DDbnKz8rbBTp07U3qtXL94CJz813vk2bNgwOgjPPvvsxYsX pV1wMnA5cLIIe5wcFxfH1Cd97JpqZr6ArKQ0nPz6669Te8+ePXkLnEycPHmS HYTdu3ff/2/YJZIOL3tJ9nbmSQHAUzhZjD1OPnz4sMzJSUlJVatWZY1Uvn78 8cfBwcHffPPNiRMnSs/J/fr1g5OV8GNuEbK3M08KAJ7CyWIc62T+W966detk wW5ubiadXL16deUeHeXk3Nxc829N1zjKyRTpzJMCgKdwshjHOrljx470smXL lspBlE5mAqd2pWbtdDK/GSMrK8v8W9M15mf1r7/+mi+gQYMGdHDeeust9pIi nXlSAPAUThbjWCe/8MIL9LJevXrFxcXSyOPHj7NIqZO5OWNjY6XBSUlJtWrV ssfJW7duZcHSW+/+97B5VuM3PuBy4GQRjnXy8OHDWcu0adMSEhJu3rwZHR09 efJkViTLnEwqZo2tWrWKj4+/du3avn37JkyYwINtdjL/eat79+4XL16kC8R3 331H+Vh/eDQNnAz0C5wswrFOPnHiBP8TN1LKly+vdDJBIlUG8xFsdvJDU494 /5mfrZYBJwOXAyeLUJNhpUqV6BT+9NNPZe1HjhxRLj5ERkbWr1+fm5CK3oED B54+fZr9vQVSq3SEjIwMZlQOuZSC2UPT0qe2Fy9ebBAsPg8YMIC6evfuLW2k 8rhv377Skal0V39YdIHNs7pZs2Z0QMaOHevwCQ+ASuBkEaWRYUFBwdGjRzdu 3BgdHc2fxRZRUlKSmpq6Y8eOqKiomzdvOjaT7Ozs+Pj4Y8eOWUxDj7hqVgNg P3CyCO1nCETAyUC/wMkitJ8hEAEnA/0CJ4vQfoZABJwM9AucLEL7GQIRcDLQ L3CyCO1nCETAyUC/wMkitJ8hEAEnA/0CJ4vQfoZABJwM9AucLEL7GQIRcDLQ L3CyCO1nCETAyUC/wMkitJ8hEAEnA/0CJ4vQfoZABJwM9AucLEL7GQIRcDLQ L3CyiO8BAMBFwMlKXPuJAAD+zMDJSrSfIRDhqlkNgP3AySK0nyEQAScD/QIn i9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIn i9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIn i9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIn i9B+hkAEnAz0C5wsQvsZAhFwMtAvcLII7WeoZa5cuXLhwoWcnByX7N3irD55 8uQgS4wbN85ppwMAHDhZhPYz1DK1atUyGAwffvihS/ZucVbv2rXLYInGjRs7 7XQAgAMni9B+hlpG404+d+7c+2Lq168PJwNXASeL0H6GWkbjTjZDQUFB1apV Kflhw4Y5ds4DoAY4WYSaDMPCwkJCQk6dOvXgwYM9e/Z4eXkNGTLE09MzODj4 3r170sjk5GSKDA0NZS/z8/Pj4uLoJW0lDTt79qyvr++4ceNonNmzZ2/atKmw sNDkrg8dOrRw4UKKdHd3nzVr1urVqzMyMpRh2dnZlAy5cfDgwePHj1+2bNnF ixdFbycpKSkwMHDKlCnvvvvup59+unXr1rt377Ku4uLiDRs20FtITU2VbXXl ypUQI3l5efSSAujflSpVIq3169cvRIL0mNCAERERn3zyydChQ8eMGbNixYrT p0+bOcLs5fnz57ds2UKHxcy7eGifk6dPn06ZlylThvbl2DkPgBrgZBFqMqxQ oQKdv2SVLl26yFYju3Xrdv36dR5J/mTtubm59O2YTnn2snz58jxm1apVbEAp HTt2TElJke705s2bvXv3Vq5/urm5zZ07VxoZGRlZt25dWRgVgUFBQbI3cuvW LdK7csxnn32WHEgBOTk5rMXf31+2LamVdbE8AwICRCu0/Himp6d37dpV1lu2 bFk6SnR1Ux5hutjt37+/RYsWPPif//ynmc/F5llNW5UrV47Gp8uEw+c8AGqA k0WodzJXCvmzR48ezzzzDGsZNGgQj+RObtiwoVRE3MmLFi1iLfSt/7333vv4 44/79u3LWqpXr56VlcWHGjhwIGtv27btxIkTp06d2r17d1aXvvPOOzyMikkW Vq9evY8++oiEP3PmTLakQMTHx/PIoqIiGoq1N27c+O233/bw8HjxxRdZy/z5 8x9a4+QdO3ZQPnSBYLvuLuHGjRsPjf7nVwo6XFTk0+XgueeeYy1z5sxRHuEa NWrIBF5KTh45ciT7UOh66vA5D4Aa4GQR6p1MldWMGTOoAGaNmZmZ7du3Z+r4 9ttvWSN3MhPR2rVrz5w5c+7cuejoaOol5VarVo26aEPpEsSGDRvYJpMmTWIt ly9fZi0kWGkm5BDKgSpw9jIvL69BgwYU1rNnT+kNaRTGLgpUpvLGxYsXszEn TJggXV4gb3fq1MlaJzPMrCfPnj2bxfv5+UkTY5UzHVLpugS/6lWpUoV0HRUV Rb0JCQlpaWmCz+T/sG1W04fF9kVHsjTmPABqgJNFqHeyrLQjDhw4IKv6uJPX rFlTUlIii//8889ZL31Dl3UNHTrUYFzeZEUmH9nHx8dMYtTL/KZcZCYTGowL HUy/xcXFpDtqadmy5f3792XBlCq71jjKyYWFhRUrVmQXJllXUlISG0e6FTvC r776qvkFZBm2zWq6ftG+6GtOfn5+acx5ANQAJ4tQ72QvLy9lV+3atalr1KhR 7CV3smy9lMG+Mj///PPKrm3btrENjxw5Qi8LCgqYQuvUqbNs2bLs7GyTiY0e PdpgXIj4WgHVvWzA5ORkiqRanb1ctWqVmXfqKCdTDAumbwrKvbRr1466BgwY wFvMHGEz2DCrqQJnidHxKaU5D4Aa4GQRdjq5Q4cOBuMvfeyleSe//PLL1PXa a68pu3j1uGHDBtYyZswYg4QWLVq4u7vv3btXupXyN0clMTExFLlz5072UjaC DEc5OTIykgWzRRsZQ4YMoa5mzZrxFuc4+cmTJ61bt6Yd0ZWUvhqU3rQHwCJw sgg7nfzSSy+pd3KTJk2oa/DgwcouXljy1Vca4csvv6xZs6bMsbQvfs8YVcgG 409jb4g5c+YMRVK9yjZPSEgw804d5eTg4GAWnJiYqNwL+75A2/IW5zg5JCSE v7vSm/MAqAFOFmGnk9mzYB4eHuyleSf36tXLYLztTdkVFxfHNty+fbu0/e7d u7GxsYsXLx4+fHj16tVZTJs2bVgvu1mOanWLb/PgwYNs223btpkJ405evny5 rMuMk6dPny7a3Y4dO5R7ef311w3GHzp5ixOc/OjRI/7g3k8//VSq0x4Ai8DJ IuxxcmpqKjPPggULWIt5J48fP95g/HWJPXYhZeXKlWxDVtaahLbiixXspugp U6YYjL/xsV8GzXDt2jW2oexGDhn5+fks7NNPP5V1mXGyp6enLDgjI4MFf/bZ Z7KuoqIido/ciBEjeKMTnMzvQgwLCyvVOQ+AGuBkEfY4edSoUew0T0pKYi3m ncy/Oy9ZskTaXlxc3LRpU4PxRl92m8SpU6d2796tHMHb25uNcOXKlYeSm5Pd 3d2VwWQ/2iN/yRY6qlSpkpmZKYs8e/YsVePs30yzVIFLAygrEq/SyVSxU0uf Pn1kA5aUlDRr1sxgXLklz0u7+CoKXYZ4Y2k7mXJgT1JTwr/++mtpT3sALAIn i1DvZDqd169ff+nSpdzc3GPHjg0bNoy5ZcyYMTzSvJOpkd1yUK5cuYCAAPY8 NZWU5DS2FX/yjmo5g/Gu4z179rCbLsgqpE0muiZNmvDx+bYDBw5MTEykMUnF J06coPHZA3H8lrwdO3awyEaNGu3du7egoIC6kpOTqXKuWLEiuz/54R/rIQbj nQnp6elk4NWrVzdv3tzwB1In81v4QkNDKcOcnJzIyEh2WdmyZQuLf/XVV8+f P//wjwe3K1eubDD+wCd9nLy0nfzBBx+wZOiNl/acB0ANcLII9U42SevWra9e vcojzTuZOHz4MF8WLl++PBXGfKgBAwbwrZiTOfRlnz+mTf+QLtKS7qTCpF72 1DBHepu09MFqNzc36fviTua3RssoW7as0skxMTHKSH48R4wYwRvr1KnD7lg2 GGv1qKgo5REuJSd//8eT1N26dXPCnAdADXCyCPVOphJXaj9SK32dp2pTGsme lSPdiZxMXLx4sUePHlKJUeko+xMQmZmZs2fPlj2gbTAuKcTFxckGpLrU29ub P0/N5dy/f38q7GXB5HPpH5Qgatas+Y9//IOVsoy1a9eyb/qMatWqLVq0iNe9 Z8+elQ5IBTl7OJFB9rt27Rrv9fX1lQ5FvPLKK7IRCPbMuHIR2zwqZ/XYsWPZ runbjRPmPABqgJNFWLWeTDVnRkZGfHw81YrKx/SsIjc3NzY2lkSXnJysfLCO k52dnZiYGBkZmZCQIHpyhHPjxg3Kbd++fSQ90R+aY9y+fZsGpCo3PT3d5OWD Aqik37x585kzZ8xcXxhFRUV0QOjtULByv7Q55RMREbF//36Lv0VahatmNQD2 AyeLsPNeOOBC4GSgX+BkEXCyfoGTgX6Bk0XAyfoFTgb6BU4WoSbDTp06tWnT JiAgwDkpAZXAyUC/wMkitJ8hEAEnA/0CJ4vQfoZABJwM9AucLEL7GQIRcDLQ L3CyCO1nCETAyUC/wMkitJ8hEAEnA/0CJ4vQfoZABJwM9AucLEL7GQIRcDLQ L3CyCO1nCETAyUC/wMkivgcAABcBJytx7ScCAPgzAycrYRn+AgAATgROFgEn AwCcD5wsAk4GADgfOFkEnAwAcD5wsgg4GQDgfOBkEXAyAMD5wMki4GQAgPOB k0XAyQAA5wMni4CTAQDOB04WAScDAJwPnCwCTgYAOB84WQScDABwPnCyCDgZ AOB84GQRcDIAwPnAySLgZACA84GTRcDJAADnAyeLgJMBAM4HThYBJwMAnA+c LMIqJz9+/Pi2EfpHqX5eZjhy5Mi5c+dctXcAgEOAk0WodHJWVlZoaKiPj89i I5cuXRJFJicnR0dH//DDDyo/Gqvif/75Z9r7li1bVA4OANAmcLIINU5OTU1d unQpyXDbtm2HDx+OjIy8du2aKHjXrl0U+eDBA5UfjVXxcDIA/xvAySIsOpli VqxYQRXy5cuX1RxqM44lo1oVb3IEOBmA/wHgZBEWnZyUlEQaTEhIUHOcKWzV qlUU/69//WujkZKSEmq/dOkSW/qgXiq2CwoKzMSnpaVRsJ+f35IlS3x9faks v3XrFou36OTExMSsrCy10wIA4CLgZBEWnfzVV1+RBrOzs5OTk0mhp0+fLiws FAWfPHnS39+faXO7EdrF2bNnqYXsGh0dvXv3bjItFd737t0TxcfFxVHwzp07 Y2JiIiIiqJf8TO2/qHDyvn37aPwTJ07YMVkAAKUOnCzCopPJh4v/m6VLl6am poriZWsRjx8/JusuX76cm/zcuXMU8PXXX5uMJ/7zn/9IVzliY2MpgCVp0ck0 DtM4KZ3GsTwzAACuAE4WYd7JP/74Iytx09LS7t+/T5ajonepkaKiIpObyByb l5cnNfAvRq/SgKtXrzYZzz+vAwcOkHtDQkIomALY/W9q1pMphupkClu/fr26 2QEAcDZwsgjzTv7pp59Iv+vWrZM2xsTEkPEuXLhgchOZYzMyMuhlXFycNCYo KIiGNRlPREdHU8uyZcvCwsL27t27efNmq5xMF47du3ezUtncnAAAuA44WYTF tYu1a9f6+PhIFxP2799PxktOTjYZL3NsTk4Ovdy0aRMPoJ0uWbLE39/fZHxh YSG9pKtAcXExa2HL0SqdTLtbs2YNjX/8+HGTt3kAALQAnCzCopP37NlDGiQx 8pYvv/ySWm7cuGEyft++fdR7+/Zt9vLRo0ekdKqK+eouFdgUsHXrVpPxV65c oZe0Uz5gQkKCeidHRUX5+fldvXrV4pQAALgQOFmERSffvXt3mZGjR49+++23 oaGhZMWIiAhR/L///W8KCAsLo+DY2FjaxZEjR6iFNkxJSaFedvNbdna2yXiS MwmcdhcTE5OYmBgeHs5+WFTp5LS0NNFCNwBAO8DJItQ8x0cBrDZmUC360Hhn mkl++OEHKn1XrlzJgsmQjx8/Pnz48JIlS1iLr69venq6mfjU1NSgoCD2MjAw cPv27fQPku0vRifTOLzGBgDoFDhZhBon/2KUIRXMN2/eVHmD2Y8//kjxjx49 krbk5OTk5+ebXOZVxufm5ubl5WFNGID/SeBkESqdDAAADgROFgEnAwCcD5ws Ak4GADgfOFkEnAwAcD5wsgg4GQDgfOBkEXAyAMD5wMki4GQAgPOBk0XAyQAA 5wMni4CTAQDOB04WAScDAJwPnCwCTgYAOB84WQScDABwPnCyCDgZAOB8XOtk AAAASuBkAADQDq5ysqvXJ8yh/QyBCFfNagDsB04Wof0MgQg4GegXOFmE9jME IuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jME IuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jME IuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jME IuBkoF905OTCwsKcnJxSOouV2OPkqKioefPmLV682LEpAZXAyUC/aNzJly9f 9vHx6dWrV8OGDd3c3AwGQ/Xq1Tt37hwcHPzgwQMnnNe2bfvhhx9SqrVq1eIt 8+fPb2kkLS3NMfkBMWpmdVZW1iCzrF+/3jnnAgBSNO7kdu3aGQT06NGjqKio tM9r27ZVOtnT05Olffr0acfkB8SomdVnz54VTS0GfYjOORcAkKILJ7dt29bL y2vjxo0bNmx46623qlatys6aOXPmlPZ5bdu2SicHBAQMNEKVv2PyA2KscnLf vn3fN8XOnTudcy4AIEXjTp4xYwadGiUlJdJG+vrPtNysWbNSO60d7GTgTKxy MtwLNIXGnSzijTfeYCfUrVu3HHguS1Gf4cWLF319fT08PIYMGTJ16tTw8HD6 r8zJKSkpISEhoaGhymXwQ4cOLVy4cNy4ce7u7rNmzVq9enVGRoY0ICwsjLY9 deoUbbtnzx76ykA78vT0DA4OvnfvnjKf4uLiiIiITz75ZOjQoWPGjFmxYoWZ BROLe2dkZ2fT7uhaM3jw4PHjxy9btozetZqD4xLgZKBfdOrkt956i51QBQUF DjyXpajM8KuvvuJrKTKkTvbx8WGNd+/e5Y03b97s3bu3ckM3N7e5c+fysAoV KlAjCbZLly6yyG7dul2/fl2aT3p6eteuXWVhZcuWJfHKLgcq905ERkbWrVtX FkbvOigoyMqD6iTgZKBf9Ojk+/fvN2rUiM6mBg0aOPZclqImw40bN7LzukyZ MmTCsWPHvvnmm6RilU4eOHAga2zbtu3EiROpuu7evXulSpWo5Z133uFhzMn/ n70zD6uq2v//UXFWHHDKckivpTmbZTgPmGmp3ysmmjmUWrcyx/Jbol0Vp2TK IUUSB0QRNTEQQTBBcCJQQBy4OCAgCAoofktL0+f3+Z31tJ599z7rnI2cc9j7 3vfrjx7PWp+99mfvs9Zrr73O3sTt2qVLl969e9euXZuVDB06lEfSXQOXJ8XQ vJcmwE2bNmUlsuV3lXvftm0bC2vSpMnnn3++Zs2aWbNm8WOMiYl5xvNrS8rk ZLoHycnJoVP3+PFj+3R+AMygRydv3LiRjaaZM2dadyxLsZhhQUFB8+bNmXsP Hz7My0tKSshpFp186dIlVkKKkzZL8146ro8++oiXMCc7ODhQeW5uLivMzMzs 1KkTa+HUqVOscO7cuazEy8tL2iCbOVM7fMFB5d7z8/Ppwkdhffr0kT4cTmHs 2Klls2exYni25y7oBoGuX3TdoXNrn1EAgBLdOTk5OZmtFdB/L1++bPXhzLGY oa+vLxvLGzZskFUpf+NTOjkiIoKVUJX5TJiTlQ+Z8BZYVVFRUfXq1dkMWRYZ Hx/PIimxMu2dpU0JKBeZSfvMYybXtCuWcj4LRzcLJ06csM9AAECGvpxMm7z4 4ots4NA9tS2Gs3Rf5jNkjxzXq1dP+Zi0GicXFhbWqlWLSho1arRy5cqsrCzR jpiTFyxYoKxycnKiqrFjx943Xq1E14j7fz1VOGTIkDLtfcKECRTTokWLHxUs WrSI7S4pKcnMWaoQ1PRqOgOrV68ODw+n/Cn4zJkz27dvd3Z2ZgdFJzYvL88+ YwEAKTpy8tWrV9u1a8eGzJIlS2w0nDkWM+zbty9l0rVrV2WVGicTEydOlE7P 2rZt6+rqeuDAAVlrZpzcuXNng/GXvvvGX+JYO2FhYcrI4cOHG/796UE1e1f+ qqiEtGbmLFUI5enVkyZNYscVFBRk3T4PgBr04uSLFy9yIS9cuNB2w5ljMcM2 bdpQMoMHD1ZWqXTyvXv3vvvuuwYNGsgsR449ffo0DzPjZLoicCdv2rSJbR4X F6eMHDNmjCwlNXunGTKV1K9f/20xiYmJZs5ShVCeXp2RkcHOw5w5c6zb5wFQ gy6c/Msvv7BflIg1a9bYdDhzLGbI7nPLM09mUElkZOSyZctGjRrl6OjIwjp0 6MADzDi5WbNmVOXm5kb/Pnz4MNs2ODhYGdm/f3+q6tSpU5n2zh6Wo9m4mfOg QcrTqx8+fMhOwnvvvWfdPg+AGrTv5IiICJqnGYwPHvzwww+2Hs4cixmSCSmr unXrKjVbJidLyc/P58sF/MFjkZNTUlJY5OLFi+kjn+B9/fXXssji4mL2jNzo 0aPLtPfp06cbjL/x3bhxw8yGWqM8vTo1NZWdgSVLlli3zwOgBo07me7Hq1at ajD+lGbndUuLGXp4eLDBK/tNjcw2aNAgi04+ffr0vn37lM26u7uzSP5UicjJ Y8eOZZHx8fH0sbS0tHXr1gbj71MFBQXSSMqQRX777bdl2jt/ONnV1VUZTKr3 8/Mzc4oqCjW9+sCBAzQlVpazRR6DcZ3cNn0fAHNo2cnHjh3ji5wrV65U/vRP REdH23RcmwnIzc2lSTKbRvr6+qanp5PovLy8+DKLeScHBAQYjM/97t+/nz32 QCKNjIxkXm3ZsiV/7Y45uUOHDhs3brx48SLtl87MyJEjWYMTJ07kewkMDGSF r732Wlpa2n3jw9KbN2+uWbOmwfgDX1FRUVn3PmDAANami4tLXFwctUAqTkhI 8PHxadu2LZXL/hqJFlDTq+m7a9KkydKlS48fP05H9Mcff5w7d46/s//GG288 efLEPmMBACladjJ/htYML730kk3HtfkYPlU2iRoncxo3bly5cmX2b/qHdE1Y +h6fjPbt21+5ckWa0ujRo3lto0aN2BPLRK1atUJDQ3mY+r2T29mvmbzWwcFB uq1+nSw9CvbXufl5o2uffQYCADK07GSatpkxHpeSTce1xbD169dz7xmMjyh4 e3uz9WQnJycetmrVKhbA37DIzMycO3cun1Rz+vXrFxUVJd0Fc3LHjh2lbnR0 dJw2bZrJP/fh6ekp+xMcr7766tmzZ6Ux6vdOUM7u7u78fWou58GDB9PUXeX5 tCdqejV9I926dZMdPl1upkyZQvcC9hkFACjRspMrFvUZ0hCOjY3dsWNHcnLy M/zfT7KysuLi4kJCQqgRk+9u8PVkmpFmZGTExMTQjszPTikNknBQUNChQ4fM /zxnce9SqCna+8GDB6lxvgyiQdT3arrc0LGEhYXt37//woULf/zxh617PgDm gZNFaCdDM8/CAZNUVK8GoPzAySK0kyGcXFbgZKBf4GQR2skQTi4rcDLQL3Cy CO1k2L179w4dOvj4+FR0IroBTgb6BU4Wof0MgQg4GegXOFmE9jMEIuBkoF/g ZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jMEIuBkoF/g ZBHazxCIgJOBfoGTRWg/QyACTgb6BU4W8S8AAKgg4GQlFfuNAAD+m4GTlWg/ QyCiono1AOUHThah/QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNF aD9DIAJOBvoFThah/QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNF aD9DIAJOBvoFThah/QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNF aD9DIAJOBvoFThah/QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEeXJMDQ09Msvv1y2 bJl1UwIqKWuvfvr0KW1lu94OgHrgZBHlyfCzzz4zGAwNGza0akYVxuXLl8+f P5+Tk6OsWrRoUTsjqamp9k9MhMpeTSr28/Pr06ePo6MjfV9NmjQZPHhwZGSk Hfo/ACLgZBFwMocOhA6HDkpZNW3aNIORM2fO2D8xEWp69Z07d/r3728wxZQp U+wyCAAwAZwsAk7mmHGyj4+Pi5FLly7ZPzERanq1q6srM/DIkSNpbpyWlhYY GNiqVStWuHPnTvsMBABkwMki4GSOGSdrE4u9OiwsjLn3/fffl5YXFRU1atSI yps2bXr37l0bDwIATAAni1Cf4YULFzw9Pd3c3IYPHz5jxowdO3bQf2VOTkpK 8vPz8/f3Zx8LCgqioqLo4/79+1lJenp6QEDAggULPvjgg9GjR0+aNGn+/Pm7 d+++d++ebHfSpjIyMnx9fd97772///3vlANN9lgMuSUoKGj27NnDhg378MMP N2/eXFpaKm2E7tzDw8NXrFgxc+ZMypzmirTHpUuXXrx4URqWkpJC+6pRowYd zqBBg/wkUAsUkJyczJLhee7atctPzLFjx2SHk5WVtWnTJhI+pTp58uSVK1fS +VRz2s1gsVfPmzePOTk7O1tWReeKVf3www+2HAEAmAZOFqEywy1bttSpU8fk sqTUyUuWLGGFubm5H330UeXKldnHqlWrsgBnZ2eTjdDdNElYukfeFElYtmtH R8fTp0/HxcW1b99e1g5dL6R6JyGb3F2VKlU+//xzHubj42MyjGAnh6zOPt6+ fZtt8vzzz4s2IaZOnSo9lpCQkMaNG8ti6KDWr19f1u9LisVe7eLiQjuqX7++ sionJ4elQRdHm3V/AITAySLUZLh161Y2fsmxr7/+Ot0Iv/POO+xO3yBwcvPm zaX+kTmZDDxixIjp06fTrPWll15iMW3bti0sLFQ2xfdCM1iKYR/r1q3LhE// 7d69e69evdgsl9i+fTtvhDm5WrVqtN8JEybQZYL2W7NmTRbJlRgcHEwBlSpV MhgfS3CWcOPGjfumnOzq6tpXAb8GLVy4kOewbds2Vkgt04VgzZo1s2bN4mcv JiamnN+dme7Hft0j+T99+lRW9eTJE/pSqPbNN9+05QgAwDRwsgiLGRYUFDDB kkYOHz7My0tKSsaNGydyMtG7d+8NGzYkJiaeO3cuLCyMBdCMkUpku5g9ezbb 5MiRI8qmWrRoQVvxRQm6IrByUujHH3/MH12jaTOTDFlXenS7du3Kz8+X7u78 +fNs1jpgwABpuZn1ZKWTlURERND0m2LoAlFcXMwKadfPPfccFfbp00f6lN31 69fZWaVrnKhBi1js1fzEXrhwQVn7wgsvsARs1v0BEAIni7CYoa+vLxvXJFhZ lfI3Pi7SdevWyZZ2zZCZmcm28vb2VjaVl5cnDT5+/DgrX7x4sawdugpQeceO HS3ucerUqRTp5OQkLSyPky9dukStGYy/ml25ckW2IU3UMzIyZJt4eXmxKwtb sn4GLPbqoKAglnbnzp1lv+UlJyezn/n69etn40EAgAngZBEWM2SP5tarV4/P /ThmnKz8zY5DrqapMhnJzc1t4MCBpAu+0PHNN99YbOrGjRusXPn+4MSJE9kS gaz82rVrdEGZMWPG8OHDe/To0bp161q1alGkg4ODNOyZnUxSpWYNxiWa6Oho adWECRPYVP9HBYsWLWJtyhbS1WOxVz9+/Hjo0KFsL/QNTp48ecGCBXQ96tq1 K7+dGT9+vN2GAwAcOFmExQz79u1LI5dGsbLqGZxM0zO+gKxEjZNJgCIns+dA GjduzEtoW7IQWyhWYi0nT5o0idXSPYWsqmfPnqKD5YSHh5s8VxZR06vpDLBv UAZbuCC++uor+4wFAKTAySIsZtimTRsauYMHD1ZWldXJ8fHx/AmK7t27z5kz Z9OmTT/99FNCQoJ6J9N0XeTkjz/+WObkMWPGsOCaNWvSLHr58uXBwcExMTFs 7cIqTuZrO2Rm5YY0QzYYn3x4W4xygV0l6nv1sWPH5s+fTzcmY8eOpYvU3r17 z507x9L28/Oz9SgAQAmcLMJihuxJCavMk/lPTt9//72sik1lrevkmzdvsgch aLKamZkpjXR3dxc5+dNPP1VmLnIy6Z39sNijRw+Ty8L9+vUzGJdzlVXlpzy9 et26deyIkpKSrNvnAVADnCzCYoY0uTIYnz1TThHL6uQuXbpQVbt27ZRVtnAy TYlZZEBAgCzSjJOnTZumTM+kk69cudKsWTOD8bdC0TvX06dPNxh/42PP1FmX Z+7Vd+/eZZkPGTLE6n0eADXAySIsZujh4cF0JHvuIj8/f9CgQWVy8osvvmgw /gZXUlIiLeePUljXyf7+/izS09NTGkYT2pEjRyqd3KFDB4PiATmG0smUxhtv vGEwvn4SERGh3ITBH052dXVV1lIjfn5+om0t8my9+rfffhs7dizLKj4+3hbd HgCLwMkiLGaYm5tLk2Q22fP19U1PTz99+rSXlxd/WEK9k0eNGsVqSZ6xsbHZ 2dlhYWEffvgh/w3Ouk4+c+YMi2zduvXWrVuvX7+enJxMVxa2Qq508ogRIwzG l1BI5gUFBTk5OSEhIWxFQulk9nsiQTPhFAXSU0qSZ5EuLi5xcXFFRUV0CAkJ CT4+PuwVGPUPDcpQ06vJwEFBQYWFhX/++WdmZibdO/D3bsaNG2efUQCAEjhZ hJoM+VTZJOqdTCIiDSpbYEuyVncyMXr0aDOZy5xs8kXsf5l6t5ruEcw0S3Tr 1o03m5aWxq8CBqPzZSfBpk7m71BLoRzo7Clf7gPAbsDJIlRmuH79+urVq/NB Xb9+fW9vb7aeLH3zgka6wfgehOhZOJp5spVMBkXS7JEmtOwNOPKwxaZKSkrY tsuXL5c1/sknnxiMb23wEprkjx8/XqqjJk2a0CXm66+/Nhhn/rIWaO7Kbgq4 tK9evUrlq1atYiVs2nzr1i3zTu7Ro4e0WdrK3d2dv0/NxTh48OCNGzdaPPki nsHJdPhvvfVWdHS0ffo/ACLgZBHqM6Sb7tjY2B07diQnJ5t5JcQidB/9888/ b926NSwsTPY4hI24cOHCnj17du3aFRcXd/fuXfPBNA+nA4yMjExMTKRDtm4m N27ciImJOXjw4NmzZ8vfuJpe/eTJEzoc2uPhw4fz8vLs0+0BsAicLEL7GQIR FdWrASg/cLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZ AhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZ AhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5ws4l8A AFBBwMlKKvYbAQD8NwMnK9F+hkBERfVqAMoPnCxC+xkCEXAy0C9wsgjtZwhE wMlAv8DJIrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhE wMlAv8DJIrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhE wMlAv8DJIrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhE wMlAv8DJItRk6O7u/uWXX0ZERNgnJaCSsvbqP//8s6io6OnTp7br8ACoBE4W oSbDatWqGQyGBQsW2Cel8nPr1q3z58+np6dXdCK2RU2vLi4u3rJly4gRI158 8UUHBwf6HqtWrdq6dWu6yGZnZ9tnFACgBE4W8R/pZE9PT4ORmzdvVnQuNkRN rx4zZoxBgJOT08WLF+0zEACQASeLgJP1i3on08T4iy++2LZt29GjR+m/zs7O 7Px07NjRPgMBABlwsgg4Wb+o6dWrVq0KDAx8/PixtPDRo0e9evVip6iwsNCW IwAA08DJIsrq5IiIiIULF44YMWLChAkrVqy4deuWLDg9PT0gIICCP/jgg9Gj R0+aNGn+/Pm7d+++d++eLDI+Pt7Pz2/nzp3KPe7du5eqoqOjeUlSUhKV+Pv7 07+vXbu2YcOGqVOnvvXWW7NmzYqKipJuSw2+++67TDg+Pj5+f3Hs2DHVZ0Uf lKdX05fITtG5c+es2+cBUAOcLEK9k8ePH//mm2/K1iTbtGkj+ymN3xfLaNWq FXlVGvnJJ5+wVU3lHl955RWqovtuXrJkyRLWjq+vb/369WWNu7u788hGjRqZ TGDKlCnPcH60THl6NV3O6JxUr1794cOH1u3zAKgBThah3smc9u3bDxgwoEGD Buzj2LFjpcHMyWRgmktPnz6d5skvvfQSi2zbti3dKfPIZ3Myw9HRkXLo1KkT +1i5cmUu/Lfffrtly5asvGfPns5/sXz58mc+S9rkGXr1kydPzp49SzcX7Px4 eHjYqOcDYB44WUSZnDxhwoTMzExWmJWVxWRbqVKl27dv8+CQkJDExERZC7Nn z2YtHDlyhBc+m5Off/75wMBAvhLi5eXFyufNm8eDsZ6sJD8/38XFpWHDhuzM 1KhRg4SMZ5VBRQEni1Dv5JkzZ8rKV6xYwQZ4cnKy+RbI5CzS29ubFz6bk/Py 8qSRJSUlbClDGgwnm+yK0huNcePGpaWl2bTzA2AGOFlEeZ672Lt3Lxvghw8f lpaXlpbSVJlmsG5ubgMHDuzcuXPz5s1Z5DfffMPDns3Jyt8Ku3fvTuV9+/bl JXCyErp40cmnuwlXV9datWrRyalSpYqfn59N+z8AIuBkEeVxclRUFFOf9LVr mjPzBWQltnBy//79qbxPnz68BE42T1FRUceOHen80DdLtzBW7/YAWAROFlEe J0dHR8ucHB8fX6dOHVZI09c5c+Zs2rTpp59+SkhIsJ2TBw0aBCeXlbCwMHaK /P39rdvnAVADnCzCuk7mv+V9//33suBKlSqZdLKjo6Nyj9Zycm5urvlD0zXl 6dV8eZmum9bt8wCoAU4WYV0nd+nShT62a9dO2YjSyUzgVK7UbDmdzB/GuHbt mvlD0zXl6dUxMTHsFK1Zs8a6fR4ANcDJIqzr5BdffJE+NmnSpKSkRBp5/Phx 5doFN2dkZKQ0OD4+nj2y9cxO3rlzJwuWPnr3n4fFXl1UVLRnzx7Zi9XE06dP +es/R48eteUIAMA0cLII6zp51KhRrOTjjz+OjY3Nzs4OCwv78MMP2SRZ5mRS MSt86aWXaNp29erVgwcPTpkyhQc/s5NPnDjBgp2dnS9cuEAXiF9++YXyKfvp 0TQWe3VaWprB+P4OXf5Onjx59+7dBw8e0MkZOnQoOz89evR49OiR3YYDABw4 WYR1nZyQkMD+SK+MqlWrKp1MkEiVwbyFZ3byfVOveP8XvlvNnCyiQYMGly9f tttYAEAKnCxCTYY1atSgIfzVV1/Jyum2l41u6eJDSEhIs2bN+MCnSa+Li8uZ M2eqVKlCH0mt0hYyMjKYUTnkUgpmL01L39petmyZQbD4PGTIEKrq16+ftJCm xwMHDpS2TFN39adFF1js1RTj4eHRrVs3mY0rV648Y8aMO3fu2G0gACADThZh iwwLCwt//vnnrVu3hoWF8XexRZSWlqakpAQHB4eGhmZnZ1s3k6ysrJiYmGPH jllMQ4+o79V0IUtNTaWv48cffzx//jz+7hCocOBkEdrPEIioqF4NQPmBk0Vo P0MgAk4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0Vo P0MgAk4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR2s8QiICTgX6Bk0Vo P0MgAk4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf4GQR/wIAgAoCTlZSsd8I AOC/GThZifYzBCIqqlcDUH7gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0M gQg4GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0M gQg4GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0M gQg4GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGTRWg/QyACTgb6BU4Wof0M gYiy9uonT57k5eU9fPjQdh0eAJXAySK0n6GWuXz58vnz53Nycipk7yp79aNH j77//vuOHTtWq1bNYDBUqlSpefPm06ZNu3Hjhh2GAAAmgZNFaD9DLdOwYUOy 3GeffVYhe1fTqymsW7duhr9wcHDg/yZFHz161D4DAQAZcLII7WeoZbTv5LFj xzIDU5Lx8fGPHz9OS0vz8PCoVasWFVL+d+7csc9YAEAKnCxC+xlqGY07+bff fmMT43Hjxsmq/Pz8mKsPHDhgyxEAgGngZBFqMgwICKAhfPr06Xv37u3fv3/B ggXDhw+fNm3apk2baJYljUxKSqJIf39/9rGgoCAqKoo+0lbSsLNnz3p6ek6a NInamTt37rZt24qKikzu+siRI0uWLKFIV1fX2bNnr127NiMjQxmWlZVFyZAb hw0bNnny5JUrV164cEF0ODRd9PX1nT59+vjx47/66qudO3fevn2bVZWUlGze vJkOISUlRbbV5cuX/Yzk5+fTRwqgf9eoUYO0NmjQID8J0nNCDQYFBX3xxRcj RoyYOHHi6tWrz5w5Y+YMs480lQ0MDKTTYuYo7qtwMn0dTLwLFy6UVdFXwKq+ /fZbW44AAEwDJ4tQkyH7bYis0rNnT8O/06tXr+vXr/NI8icrz83N/eijjypX rsw+Vq1alcesWbOGNSilS5cuycnJ0p1mZ2f369fPoKBSpUrz58+XRoaEhDRu 3FgWVqdOnfXr18sO5ObNm6R3ZZv16tUjB1JATk4OK/H29pZtS2plVSxPHx8f ZTsMfj7T09Nff/11WW2VKlXoLNHVTXmG6WJ36NChtm3b8uB//vOfZr4Xi736 119/ZVeNDh06PHjwQFrFD+eXX36x8SAAwARwsgj1TuZKIX/27t27du3arGTo 0KE8kju5efPmUhFxJy9dupSV0F3/e++9N2fOnIEDB7ISR0fHa9eu8aZcXFxY +SuvvDJ16tQZM2Y4Ozszw9CdOA+jySQLa9Kkyeeff07CnzVrFltSIGJiYnhk cXExNcXKW7Ro8e6777q5ub388susZNGiRffL4uTg4GDKhy4QbNfOEm7cuHHf 6H9+paDTRZN8uhw0bdqUlcybN095huvXry8TeDmdTNCVlDXVuXPn8+fPs0Ly c9++fanwhRdeePr0qe3HAQBy4GQR6p3s4OAwc+ZMmgCzwszMzE6dOrHxfurU KVbIncxEtGHDhsTExHPnzoWFhVEtKbdu3bpURRtKlyA2b97MNvnggw9YyaVL l1gJCVaaCc3JKQeagbOP+fn5zz33HIX16dNH+kAahbGLAk1TeeGyZctYm1Om TJEuL5C3u3fvXlYnM8ysJ8+dO5fFe3l5SRNjM2c6pdJ1CX7Vq1WrFuk6NDSU amNjY1NTUwXfyf9HTa+m70s6V6cL6I4dOwYPHkz/btWqVVpamn0GAgAy4GQR 6p0sm9oRERERslkfd/K6detKS0tl8QsXLmS1dIcuq2LTucqVK7NJJm95xYoV ZhKjWuY35SIzmdBgXOhg+i0pKWFPGrRr1+7u3buyYEqVXWus5eSioqLq1auz C5OsKj4+nrUj3Yqd4ddee838ArIMlb2aItmVSwqdjezsbDsMAQBMAieLUO/k BQsWKKucnJyoauzYsewjd7JsvZQxZswYqnr++eeVVbt27WIbHj16lD4WFhYy hTZq1GjlypVZWVkmE5swYYLBuBDxowKa97IGk5KSKJLm6uzjmjVrzByptZxM MSyY7hSUe+nYsSNVDRkyhJeYOcNmUNOr8/LynJ2dqfGXX375u+++ky7Rd+jQ gfK0z0AAQAacLKKcTu7cubPB+Esf+2jeyezlhTfeeENZxWePmzdvZiUTJ06U zuvatm3r6up64MAB6VbK3xyVhIeHU+SePXvYR1kLMqzl5JCQEBbMFm1kDB8+ nKpat27NS2zkZIphazhdunS5ffs275Pvv/8+Wwl3cHA4fvy4XYYCAP8GnCyi nE7u2rWreie3bNmSqoYNG6as4hNLvvpKLdC8rkGDBjLH0r74M2M0QzYYfxp7 W0xiYiJF0nyVbR4bG2vmSK3l5E2bNrHguLg45V7Y/QJty0ts5GQ6CpbGjh07 ZFX+/v6sysXFxZYjAADTwMkiyunkZs2aUZWbmxv7aN7J7Ld+mrMpq6KiotiG u3fvlpbT7C4yMnLZsmWjRo1ydHRkMXTTzWrZnTjN1S0e5uHDh9m2u3btMhPG nbxq1SpZlRknf/rpp6LdBQcHK/fSv39/g/GHTl5iIye/9957LI3CwkJZ1ePH j9n5pG/QliMAANPAySLK4+SUlBQ25BcvXsxKzDt58uTJVFW7dm322oWUb7/9 lm3IprUmoa34YgV7KHr69OkG42987JdBM1y9epVtKHuQQ0ZBQQEL++qrr2RV Zpw8bdo0WXBGRgYL/vrrr2VVxcXF7Bm50aNH80IbOZmv/5h8gbp9+/YG49MX tur9AIiBk0WUx8n8bynEx8ezEvNO5u/zenh4SMtLSkrIDAbjg77sMYnTp0/v 27dP2YK7uztr4fLly/clDye7uroqg8l+tEf+kS101KpVKzMzUxZ59uxZmo2z fzPN0gxcGkBZkXiVTqYZO5UMGDBA1mBpaWnr1q2pysnJiTwvreKrKHQZ4oU2 cjJ/sYX+IauiCxx7MmTMmDG2HAEAmAZOFqHeyeSfjRs3Xrx4MTc399ixYyNH jmTjnSZjPNK8k6mQPXLg4OBAlmDvU9OUkpzGtuJv3gUEBBiMTx3v37+fPXRB ZiNtMtG1bNmSt8+3dXFxiYuLozZJxQkJCdQ+eyGOP5IXHBzMIl944YUDBw7Q 7TxVJSUl0cyZ7MSeT77/13qIwfgWSXp6Ohl47dq1bdq0MfyF1Mn8ET5/f3/K MCcnJyQkhF1WAgMDWfxrr72WlpZ2/68Xt2vWrGkw/sAnfZ3cRk6mu4M6depQ yzVq1Ni5cycvp9sKOrcG47OCERERth8HAMiBk0Wod7JJ6P73ypUrPNK8k4no 6Gi+LFy1alWaGPOmhgwZwrdiTubQzT5/TZv+IV2kJd1JhUm10j9HKXUyIX2x mnQkPS7uZP5otIwqVaoonRweHq6M5Odz9OjRvLBRo0ZsXmowztVDQ0OVZ9gW z8LxJRfib3/7G11JycY8k8WLF9tnIAAgA04Wod7JNMWV2o/USrfzNNuURrJ3 5Uh3IicTFy5c6N27t1RiNHWU/QmIzMzMuXPnyl7QNhiXFKKiomQN0rzU3d2d v0/N5Tx48GCa2MuCyefSPyhBNGjQ4B//+AebyjI2bNjAppeMunXrLl26lM97 z549K22QJuTs5UQGXRFodsprPT09pU0Rr776qqwFgr0zrlzENo/KXn3ixIle vXrJziRdTA8dOmSHIQCASeBkEWVaT6Y5Z0ZGRkxMDM0Vla/plYnc3NzIyEgS XVJSkvLFOk5WVlZcXFxISEhsbKzozREO3ZJTbgcPHiTpif7QHCMvL48apFlu enq6ycsHBdCUfvv27YmJiWauL4zi4mI6IXQ4FKzcL21O+dB8lRxo8bfIMlGm Xs1WnLZt23b48OFr1649efLEpj0fAPPAySLK+SwcqEAqqlcDUH7gZBFwsn6B k4F+gZNFwMn6BU4G+gVOFqEmw+7du3fo0MHHx8c+KQGVwMlAv8DJIrSfIRAB JwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhEwMlAv8DJIrSfIRAB JwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhEwMlAv8DJIv4FAAAV BJyspGK/EQDAfzNwshKW4SMAALAjcLIIOBkAYH/gZBFwMgDA/sDJIuBkAID9 gZNFwMkAAPsDJ4uAkwEA9gdOFgEnAwDsD5wsAk4GANgfOFkEnAwAsD9wsgg4 GQBgf+BkEXAyAMD+wMki4GQAgP2Bk0XAyQAA+wMni4CTAQD2B04WAScDAOwP nCwCTgYA2B84WQScDACwP3CyCDgZAGB/4GQRZXLyw4cP84zQP2z6fZnh6NGj 586dq6i9AwCsApwsQqWTr1275u/vv2LFimVGLl68KIpMSkoKCwv77bffVH41 ZYr/448/aO+BgYEqGwcAaBM4WYQaJ6ekpCxfvpxkuGvXrujo6JCQkKtXr4qC 9+7dS5H37t1T+dWUKR5OBuA/AzhZhEUnU8zq1atphnzp0iU1p9qMY8moZYo3 2QKcDMB/AHCyCItOjo+PJw3GxsaqOc8UtmbNGor/4YcfthopLS2l8osXL7Kl D6qlyXZhYaGZ+NTUVAr28vLy8PDw9PSkafnNmzdZvEUnx8XFXbt2TW23AABU EHCyCItO3rJlC2kwKysrKSmJFHrmzJmioiJR8IkTJ7y9vZk2dxuhXZw9e5ZK yK5hYWH79u0j09LE+86dO6L4qKgoCt6zZ094eHhQUBDVkp+p/JEKJx88eJDa T0hIKEdnAQDYHDhZhEUnkw+X/TvLly9PSUkRxcvWIh4+fEjWXbVqFTf5uXPn KODHH380GU/83//9n3SVIzIykgJYkhadTO0wjZPSqR3LPQMAUBHAySLMO/nB gwdsipuamnr37l2yHE16lxspLi42uYnMsfn5+VIDPzJ6lRpcu3atyXj+fUVE RJB7/fz8KJgC2PNvataTKYbmyRS2ceNGdb0DAGBv4GQR5p38+++/k36///57 aWF4eDgZ7/z58yY3kTk2IyODPkZFRUlj1q9fT82ajCfCwsKoZOXKlQEBAQcO HNi+fXuZnEwXjn379rGpsrk+AQCoOOBkERbXLjZs2LBixQrpYsKhQ4fIeElJ SSbjZY7Nycmhj9u2beMBtFMPDw9vb2+T8UVFRfSRrgIlJSWshC1Hq3Qy7W7d unXU/vHjx00+5gEA0AJwsgiLTt6/fz9pkMTIS7777jsquXHjhsn4gwcPUm1e Xh77+Ouvv5LSaVbMV3dpgk0BO3fuNBl/+fJl+kg75Q3Gxsaqd3JoaKiXl9eV K1csdgkAQAUCJ4uw6OTbt2+vNPLzzz+fOnXK39+frBgUFCSKP3nyJAUEBARQ cGRkJO3i6NGjVEIbJicnUy17+C0rK8tkPMmZBE67Cw8Pj4uL27FjB/thUaWT U1NTRQvdAADtACeLUPMeHwWwuTGD5qL3jU+mmeS3336jqe+3337LgsmQDx8+ jI6O9vDwYCWenp7p6elm4lNSUtavX88++vr67t69m/5Bsn1kdDK1w+fYAACd AieLUOPkR0YZ0oQ5Oztb5QNmDx48oPhff/1VWpKTk1NQUGBymVcZn5ubm5+f jzVhAP4jgZNFqHQyAABYEThZBJwMALA/cLIIOBkAYH/gZBFwMgDA/sDJIuBk AID9gZNFwMkAAPsDJ4uAkwEA9gdOFgEnAwDsD5wsAk4GANgfOFkEnAwAsD9w sgg4GQBgf+BkEXAyAMD+wMki4GQAgP2pWCcDAABQAicDAIB2qCgnV/T6hDm0 nyEQUVG9GoDyAyeL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhEwMlAv8DJ IrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhEwMlAv8DJ IrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhEwMlAv8DJ IrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C86cvLdu3ezsrJKS0tt NJBllMfJoaGhX3755bJly6ybElDJM/fqp0+f/vbbb1bv7QCoR+NOvnHjxoYN G958881WrVpVqVLFYDA4ODi0bNly9uzZFy9etMO4frZtP/vsM0q1YcOGvGTR okXtjKSmplonPyCmTL36zz//3LVrF/Wofv361a1bl764GjVq7Nu3z6b9HwAR GnfyyJEjDQLIeL/88outx/Wzbat08rRp01jaZ86csU5+QIz6Xl1YWDho0CBl 7/L397f1EADAJLpwMk2MZ82atXHjxrCwMPrv66+/zgZO+/btbT2un21bpZN9 fHxcjFy6dMk6+QExKnt1cnLy888/z/pS7969ly1b9uOPP4aEhMyZMycqKsoO owAAJRp38pIlSzZv3lxSUiItLC4u7tmzJxtK165ds+m4frZtlU4G9kRNr376 9GnXrl3pa6pevfqGDRvoo316PgDm0biTRcyfP585OSEhwYpjWYr6DC9cuODp 6enm5jZ8+PAZM2bs2LGD/itzMk3J/Pz86I743r17ss2PHDlCl55Jkya5urrO nj177dq1GRkZ0oCAgADa9vTp07Tt/v37FyxYQDuaNm3apk2b7ty5o8yHLmFB QUFffPHFiBEjJk6cuHr1ajMLJhb3zsjKyqLd0bVm2LBhkydPXrlyJR21mpNT Iajp1QcOHGBdaMWKFfbp8wCoQadOdnFxodFUrVq127dvW3EsS1GZ4ZYtW+rU qSNa8eZhNPBZoTTh7Ozsfv36KTesVKkSXXR4GB0mFZJg+d0Bp1evXtevX5fm k56eztd2OFWqVCHxyi4HKvdO0O1848aNZWF01OvXry/jSbUTFns1zYq7devG lr8eP35st24PgEX05WSySnx8/D/+8Q+mhUWLFtliRDPUZLh161aWSeXKlcmE 77///jvvvEMqVulkdmUhXnnllalTp9Ls2tnZuUaNGlQybtw4HsaczO3apUuX 3r17165dm5UMHTqUR968eZPLk2Jo3ksT4KZNm7KSefPmSZNXufdt27axsCZN mnz++edr1qyZNWsWP8aYmJhnPL+2xGKvzsvLY/nTTcfDhw+TkpKCg4M3b94c Hh6ek5Njt1EAgBK9ODkzM3PgwIENGjRgQ6l69eokZJs+q2wxw4KCgubNmzP3 Hj58mJeXlJSQ0yw6+dKlS6yEFCdtlua9M2fO/Oijj3gJc7KDgwOV5+bmskI6 IZ06dWItnDp1ihXOnTuXlXh5eUkbZDNnaocvOKjce35+/nPPPUdhffr0IVlJ w9ixU8tmz2LFYLFX0xljh0/5y24B6DzTtbWoqMhuYwEAKXpx8tmzZ6UD5+9/ /zsXkY2wmKGvry9LZsOGDbIq5W98SidHRESwEqoynwlzsmyWK22BVZFG6FLF ZsiySLq5YJGUWJn2ztKmBJSLzKR9g3Ghw+SadsVisVfTrFjanerVq0cXuDZt 2vCSfv36/f7773YbDgBw9OLk7Ozs//3f/6Up3KhRo2rWrGkwLhd89913th7X ZgLYI8c0nIuLi2VVapxcWFhYq1YtKmnUqNHKlSuzsrJEO2JOprtsZZWTkxNV jR079r7xZ0TRNYLo2LEjVQ0ZMqRMe58wYQLFtGjR4kcFdJ/Cdkc3/mbOUoVg sVevXr2aJT958uTU1FReTrcPPXr0YFV0wm0/DgCQoxcnSyGBtG/fnkZN1apV z507Z93hzLGYYd++fSmHrl27KqvUOJmYOHGidLbWtm1bV1fXAwcOyFoz4+TO nTsbjL/03Tf+EsfaCQsLU0YOHz6cqlq3bl2mvSt/VVQSHh5u5ixVCBZ79T// +U+W/LVr12RVeXl59evXNxiXNWw5AgAwjR6dTOzZs4eNqXXr1llvKP8bFjNk t7qDBw9WVql08r1792iqzxfJOeTY06dP8zAzTmZP2DInb9q0iW0eFxenjBwz ZowsJTV7pxkylZCj3haTmJho5ixVCBZ79Y4dO9jBnjhxQlk7dOhQg/ENazyS AeyPTp3Ml5c//fRTK45lKRYzdHZ2Luc8mUElkZGRy5YtGzVqlKOjIwvr0KED DzDj5GbNmlGVm5sb/fvw4cNs2+DgYGVk//79qapTp05l2jt7WI5m42bOgwax 2KtPnjzJjjQwMFBZ+95777Fa/D0iYH906uSffvqJjRrb/e01ixmSCSmBunXr KjVbJidLyc/P58sF/MFjkZNTUlJY5OLFi+ljRkYG+/j111/LIouLi9nTBaNH jy7T3qdPn24w/sZ348YNMxtqDYu9urCwkB3mnDlzlLXs+kX3CDbr/gAI0bKT s7Kytm3bJnuxmigtLR08eDAbUybXTq04rs0EeHh4sBxkv6mR2diftTHv5NOn T+/bt0/ZrLu7O4u8fPkyKxE5eezYsSwyPj7+vvG0tG7dmj46OTkVFBRIIylD Fvntt9+Wae/84WRXV1dlMKnez8/PzCmqKNT06ldffdVgfKhSFnn+/Hn2Fwjp +mXLEQCAabTsZPYQKU1Xli9fHh0dnZOTQ9Mb+gf/Q15du3ZVPvNg3XFtJiA3 N5f9aUdypq+vb3p6OonOy8uLPbhr0ckBAQEG43O/+/fvZ489kEgjIyOZV1u2 bMlfu2NO7tChw8aNGy9evEj7PXbsGP+LeRMnTuR7oTtxVvjaa6+lpaXdNz4s vXnzZvakCrVcVFRU1r0PGDCAteni4hIXF0ct0DlPSEjw8fFp27YtldvtL1qr R02vPnPmTKVKlQzGV/noi2OFdFx/+9vf2HdKcrb9OABAjvadLKJ+/frJycm2 HtfmY/hU2SRqnMxp3Lhx5cqV2b/pH9I1Yel7fDLIJ1euXJGmRLM7XtuoUSP2 xDJRq1at0NBQHqZ+7+R26YO7VOvg4CDdVqdOJj799FPpl8WX08nVa9eutcMo AECJlp2cl5e3aNEi9riXFBoyU6ZMMfNArxXHtcWw9evXc+8ZjFcKb29vtp7s 5OTEw1atWsUC+BsWmZmZc+fO5ZNqTr9+/aKioqS7YE7u2LGj1I0kkGnTptGN gzIlT09P2Z/goPv0s2fPSmPU752gnN3d3fn71FzOgwcPpqm7yvNpT9T36m3b trFnvDl0P0KzZVv3fwBEaNnJHLpbP3ny5J49e4KCgug203Z/d0iK+gzpdj42 NnbHjh00b1f+2TeL0MUlLi4uJCSEGjF5oeHryTQjzcjIiImJoR2Zn51SGiRh Ol2HDh0y//Ocxb1LoaZo7wcPHqTG+TKIBilTr37y5AldoeigIiMjaRpg024P gEV04eQKQTsZmnkWDpikono1AOUHThahnQzh5LICJwP9AieL0E6GcHJZgZOB foGTRWgnw+7du3fo0MHHx6eiE9ENcDLQL3CyCO1nCETAyUC/wMkitJ8hEAEn A/0CJ4vQfoZABJwM9AucLEL7GQIRcDLQL3CyCO1nCETAyUC/wMkitJ8hEAEn A/0CJ4vQfoZABJwM9AucLEL7GQIRcDLQL3CyiH8BAEAFAScrqdhvBADw3wyc rET7GQIRFdWrASg/cLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0 C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0 C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0 C5wsQvsZAhFwMtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIniyhPhqGhoV9+ +eWyZcusmxJQCZwM9AucLKI8GX722WcGg6Fhw4ZWzajCuHz58vnz53NycpRV ixYtamckNTXV/omJsNirT5w4MdQSkyZNsttwAIADJ4uAkzl0IHQ4dFDKqmnT phmMnDlzxv6JibDYq/fu3WuwRIsWLew2HADgwMki4GSOGSf7+Pi4GLl06ZL9 ExNhsVefO3fuIzHNmjWDk0FFASeLgJM5ZpysTcrTqwsLC+vUqUPHO3LkSOv2 eQDUACeLUJ/hhQsXPD093dzchg8fPmPGjB07dtB/ZU5OSkry8/Pz9/dnHwsK CqKioujj/v37WUl6enpAQMCCBQs++OCD0aNHT5o0af78+bt37753755sd9Km MjIyfH1933vvvb///e+UQ1paGospKioKCgqaPXv2sGHDPvzww82bN5eWlkob uXPnTnh4+IoVK2bOnEmZk39oj0uXLr148aI0LCUlhfZVo0YNOpxBgwb5SaAW KCA5OZklw/PctWuXn5hjx47JDicrK2vTpk0kfEp18uTJK1eupPOp5rSboTy9 +tNPP6WDrVy5Mp1M6/Z5ANQAJ4tQmeGWLVvYtEqJ1MlLlixhhbm5uXR3TEOe faxatSoLcHZ2NtlIq1atSMLSPfKmSMKyXTs6Op4+fTouLq59+/ayduh6IdU7 Cdnk7qpUqfL555/zMB8fH9FyKzs5ZHX28fbt22yT559/XrQJMXXqVOmxhISE NG7cWBZDB7V+/fqyfl9SnrlX01YODg6Uw8SJE63e5wFQA5wsQk2GW7duZRoh x77++uvvv//+O++8w+70DQInN2/eXOofmZPJwCNGjJg+fTrNWl966SUW07Zt W7qhVjbF90IzWIphH+vWrcuET//t3r17r1692CyX2L59O2+EOblatWq03wkT JtBlgvZbs2ZNFsmVGBwcTAGVKlWiwiZNmjhLuHHjxn1TTnZ1de2rgF+DFi5c yHPYtm0bK6SW6UKwZs2aWbNm8bMXExNTzu/uGbrlmDFj2Jdy/fp1q/d5ANQA J4uwmGFBQQETLGnk8OHDvLykpGTcuHEiJxO9e/fesGFDYmLiuXPnwsLCWADN GKlEtovZs2ezTY4cOaJsqkWLFrQVX5SgKwIrJ4V+/PHH/NE1mjaTZKicrCs9 ul27duXn50t3d/78eTZrHTBggLTczHqy0slKIiIiaPpNMXSBKC4uZoW06+ee e44K+/TpI33KjmTIzipd40QNWuTZevWpU6fYscycOdMWfR4ANcDJIixm6Ovr y4YwCVZWpfyNj4t03bp1sqVdM2RmZrKtvL29lU3l5eVJg48fP87KFy9eLGuH rgJU3rFjR4t7nDp1KkU6OTlJC8vj5EuXLlFrFNC0adMrV67INqSJekZGhmwT Ly8vdmVhS9bPwLP1aro60H5r165NV1tb9HkA1AAni7CYIXs0t169enzuxzHj ZOVvdhxyNU2VyUhubm4DBw7s3LkzX+j45ptvLDZ148YNVq58f3DixIlsiUBW fu3aNbqgzJgxY/jw4T169GjdunWtWrUo0sHBQRr2zE4mqVKzbDUgOjpaWjVh wgQ21f9RwaJFi1ibsoV09TxDrw4NDWU7pb3bqM8DoAY4WYTFDPv27UtDuGvX rsqqZ3BycnIyX0BWosbJJECRk9lzII0bN+YltO2CBQvYQrESazl50qRJrJbu KWRVPXv2FB0sJzw83OS5skhZe/Xjx4/Zr6I0pacro+26PQAWgZNFWMywTZs2 NIoHDx6srCqrk+Pj4/kTFN27d58zZ86mTZt++umnhIQE9U6m6brIyR9//LHM yezHLKJmzZo0i16+fHlwcHBMTAxbu7CKk/naDplZuSHNkKmqfv36b4tRLrCr pKy92s/Pj6Xq7e1tuz4PgBrgZBEWM2RPSlhlnsx/y/v+++9lVWwqa10n37x5 kz0IQZPVzMxMaaS7u7vIyZ9++qkyc5GTSe/sh8UePXqYXBbu168f1Xbu3FlZ VX7K1Kt//fVX/uLe77//btNuD4BF4GQRFjN0c3MzGJ89U04Ry+rkLl26UFW7 du2UVbZwMk2JWWRAQIAs0oyTp02bpkzPpJOvXLnCLOfk5CR653r69OkG4298 7Jk661KmXr106VJ+Nmza5wFQA5wswmKGHh4ebCzLnrvIz88fNGhQmZz84osv Goy/wZWUlEjL+aMU1nWyv78/i/T09JSG0YR25MiRSid36NDBoHhAjqF0MqXx xhtvGIyvn0RERCg3YfCHk11dXZW11Iifn59oW4uo79UFBQVs1YiO8c8//7R1 twfAInCyCIsZ5ubm0iSZTfZ8fX3T09NPnz7t5eXFH5ZQ7+RRo0axWpJnbGxs dnZ2WFjYhx9+yH+Ds66Tz5w5wyJbt269devW69evJycn05WFrZArnTxixAiD 8SUUkjlJLCcnJyQkhK1IKJ3Mfk8kaCacokB6SknyLNLFxSUuLq6oqIgOISEh wcfHh70Co/6hQRnqe/Unn3zCcjhw4ICt+zwAaoCTRajJkE+VTaLeySQi9kqv DLYka3UnE6NHjzaTuczJJl/E/pepd6vpHsFMs0S3bt14s2lpafwqYDA6X3YS bO3kf/31JnWvXr3s0OcBUAOcLEJlhuvXr69evTrXSP369b29vdl6svTNC/Kk wfgehOhZOJp5sjVYBkXS7JEmtOwNOPKwxaZKSkrYtsuXL5c1zmaDTZs25SU0 yR8/frxUgE2aNKFLzNdff20wzvxlLdDcld0UcGlfvXqVyletWsVK2LT51q1b 5p3co0cPabO0lbu7O3+fmst58ODBGzdutHjyRajs1fzNx2PHjtmhzwOgBjhZ hPoM6aY7NjZ2x44dycnJZl4JsUhhYeHPP/+8devWsLAw2eMQNuLChQt79uzZ tWtXXFzc3bt3zQfTPJwOMDIyMjExkQ7ZupncuHEjJibm4MGDZ8+eLX/jFdWr ASg/cLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZAhFw MtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZAhFw MtAvcLII7WcIRMDJQL/AySK0nyEQAScD/QIni9B+hkAEnAz0C5wsQvsZAhFw MtAvcLKIfwEAQAUBJyup2G8EAPDfDJysRPsZAhEV1asBKD9wsgjtZwhEwMlA v8DJIrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhEwMlA v8DJIrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhEwMlA v8DJIrSfIRABJwP9AieL0H6GQAScDPQLnCxC+xkCEXAy0C9wsgjtZwhEwMlA v8DJIrSfIRABJwP9AieLUJOhu7v7l19+GRERYZ+UgErK2qv/+OOPu3fv2q63 A6AeOFmEmgyrVatmMBgWLFhgn5TKz61bt86fP5+enl7RidgWNb06JyfH29t7 4MCBL7zwQuXKlel7rFev3muvvbZ9+/YnT57YZxQAoAROFvEf6WRPT0+DkZs3 b1Z0LjZETa/u0qWLQUD//v0fPXpkn4EAgAw4WQScrF/UO7lz586LFy8ODg4O DAx8991369aty87P119/bZ+BAIAMOFkEnKxf1PTqefPmhYWFPX36VFp49epV puU2bdrYsvsDIAROFlFWJ0dERCxcuHDEiBETJkxYsWLFrVu3ZMHp6ekBAQEU /MEHH4wePXrSpEnz58/fvXv3vXv3ZJHx8fF+fn47d+5U7nHv3r1UFR0dzUuS kpKoxN/fn/597dq1DRs2TJ069a233po1a1ZUVJR0W2qQpoLMyT4+Pn5/cezY MdVnRR+Up1f/z//8DztFpaWl1u3zAKgBThah3snjx49/8803ZWuSNNGS/ZTm 7OxscvWyVatW5FVp5CeffELlTk5Oyj2+8sorVDVmzBhesmTJEtaOr69v/fr1 ZY27u7vzyEaNGplMYMqUKc9wfrRMeXo1u2xVqlTpwYMH1u3zAKgBThah3smc 9u3bDxgwoEGDBuzj2LFjpcHMyWRgmktPnz6d5skvvfQSi2zbtm1hYSGPfDYn MxwdHSmHTp06sY+VK1fmwn/77bdbtmzJynv27On8F8uXL3/ms6RNnrlX//nn n+wUPf/881bv8wCoAU4WUSYnT5gwITMzkxVmZWUx2dJc6/bt2zw4JCQkMTFR 1sLs2bNZC0eOHOGFz+Zk0khgYCBfCfHy8mLl8+bN48FYTzbPtm3b+Emzep8H QA1wsgj1Tp45c6asfMWKFWxoJycnm2+BTM4ivb29eeGzOTkvL08aWVJSwpYy pMFwshkuX77MfuCj/+bm5tqi2wNgEThZRHmeu9i7dy9T3+HDh6XlpaWlNFWm Gaybm9vAgQM7d+7cvHlzFvnNN9/wsGdzsvK3wu7du1N53759eQmcLIKuaG3b tmUnZ8+ePTbq9gBYBE4WUR4nR0VFsdEtfe2a5sx8AVmJLZzcv39/Ku/Tpw8v gZNNUlBQ8PLLL7Mzs2rVKtt1ewAsAieLKI+To6OjZU6Oj4+vU6cOK6Tp65w5 czZt2vTTTz8lJCTYzsmDBg2Cky2SnZ3dvn17dlqWLl1q024PgEXgZBHWdTL/ Le/777+XBVeqVMmkkx0dHZV7tJaTc3NzzR+arlHfqy9evPjCCy8YjD/Irlu3 ztbdHgCLwMkirOtk9iZvu3btlI0oncwETuVKzZbTyfxhjGvXrpk/NF2jslfH xsayBxerVq0aFBRkh24PgEXgZBHWdfKLL75IH5s0aVJSUiKNPH78uHLtgpsz MjJSGhwfH9+wYcPyOHnnzp0sWPro3X8eanr19u3b2ddXv379n3/+2T7dHgCL wMkirOvkUaNGsZKPP/6YpmfZ2dlhYWEffvghmyTLnEwqZoUvvfRSTEzM1atX Dx48OGXKFB78zE4+ceIEC3Z2dr5w4QJdIH755RfKp+ynR9NY7NWJiYmGv/Dx 8Yk0xcmTJ+02HADgwMkirOvkhIQEBwcHgwK6a1Y6mSCRKoN5C8/s5PumXvH+ L3y3mi5DytMro0OHDnYbDgBw4GQRajKsUaMGDd6vvvpKVn706FE2rqWLDyEh Ic2aNeNDnia9Li4uZ86cqVKlCn0ktUpbyMjIYEblkEspmL00LX1re9myZQbB 4vOQIUOoql+/ftJCmh4PHDhQ2jJN3dWfFl1gsVfzJSMzdOzY0W7DAQAOnCzC FhkWFhb+/PPPW7duDQsL4+9iiygtLU1JSQkODg4NDc3OzrZuJllZWTExMceO HbOYhh6pqF4NQPmBk0VoP0MgAk4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf 4GQR2s8QiICTgX6Bk0VoP0MgAk4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf 4GQR2s8QiICTgX6Bk0VoP0MgAk4G+gVOFqH9DIEIOBnoFzhZhPYzBCLgZKBf 4GQR2s8QiICTgX6Bk0X8CwAAKgg4WUnFfiMAgP9m4GQl2s8QiKioXg1A+YGT RWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGT RWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGT RWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jMEIuBkoF/gZBHazxCIgJOBfoGT RWg/QyACTgb6BU4Wof0MgQg4GegXOFmE9jMEIsraq//888+ioqKnT5/arsMD oBI4WYT2M9Qyly9fPn/+fE5OToXsXU2vLi4u3rJly4gRI1588UUHBweDwVC1 atXWrVt/+eWX2dnZ9hkFACiBk0VoP0Mt07BhQ7LcZ599ViF7V9Orx4wZYxDg 5OR08eJF+wwEAGTAySK0n6GW0YuTaWL8xRdfbNu27ejRo/RfZ2dnpuWOHTva ZyAAIANOFqH9DLWM9p28atWqwMDAx48fSwsfPXrUq1cvpuXCwkJbjgAATAMn i1CTYUBAgJ+f3+nTp+/du7d///4FCxYMHz582rRpmzZtunPnjjQyKSmJIv39 /dnHgoKCqKgo+khbScPOnj3r6ek5adIkamfu3Lk0cysqKjK56yNHjixZsoQi XV1dZ8+evXbt2oyMDGVYVlYWJUNuHDZs2OTJk1euXHnhwgXR4cTHx/v6+k6f Pn38+PFfffXVzp07b9++zapKSko2b95Mh5CSkiLb6vLly35G8vPz6SMF0L9r 1KhBWhs0aJCfBOk5oQaDgoJojjpixIiJEyeuXr36zJkzZs4w+5iWlkYipdNi 5ijul++5i4ULFzInnzt3zrp9HgA1wMki1GRYrVo1GrxklZ49e8rWJGm6df36 dR5J/mTlubm5H330UeXKldnHqlWr8pg1a9awBqV06dIlOTlZutPs7Ox+/fop V0ErVao0f/58aWRISEjjxo1lYXXq1Fm/fr3sQG7evEl6V7ZZr149ciAF5OTk sBJvb2/ZtqRWVsXy9PHxEa3T8vOZnp7++uuvy2qrVKlCZ4mubsozTBe7Q4cO tW3blgf/85//NPO9lKdXv/XWW9R+9erVHz58aN0+D4Aa4GQR6p3MlUL+7N27 d+3atVnJ0KFDeSR3cvPmzaUi4k5eunQpK6G7/vfee2/OnDkDBw5kJY6Ojteu XeNNubi4sPJXXnll6tSpM2bMcHZ2ZvPScePG8TCaTLKwJk2afP755yT8WbNm sSUFIiYmhkcWFxdTU6y8RYsW7777rpub28svv8xKFi1adL8sTg4ODqZ86ALB du0s4caNG/eN/udXCjpdNMmny0HTpk1Zybx585RnuH79+jKBW93JT548oZsU OkWsfQ8PDxv1fADMAyeLUO9kBweHmTNn0gSYFWZmZnbq1IkN7VOnTrFC7mQm og0bNiQmJtLdcVhYGNWScuvWrUtVtKF0CWLz5s1skw8++ICVXLp0iZWQPaSZ 0JyccqAZOPuYn5//3HPPUVifPn2kD6RRGLso0DSVFy5btoy1OWXKFOnyAnm7 e/fuZXUyw8x68ty5c1m8l5eXNDE2c6ZTKl2X4Fe9WrVqka5DQ0OpNjY2NjU1 VfCd/H/K1KvpXNFljl+t6OpGQsazyqCigJNFqHeybGpHREREyGZ93Mnr1q0r LS2VxfM1TLpDl1WNGDGCyitXrswmmbzlFStWmEmMapnflIvMZEKDcaGD6bek pIR0RyXt2rW7e/euLJhSZdcaazm5qKioevXq7MIkq4qPj2ftSLdiZ/i1114z v4Aso0y9miKlM3C610hLS7Np5wfADHCyCPVOXrBggbLKycmJqsaOHcs+cifL 1ksZ7Lms559/Xlm1a9cutuHRo0fpY2FhIVNoo0aNVq5cmZWVZTKxCRMmGIwL ET8qoHkvazApKYkiaa7OPq5Zs8bMkVrLyRTDgulOQbmXjh07UtWQIUN4iZkz bIYy9Wq6Kn3zzTd09XR1dWXntkqVKn5+fjbt/wCIgJNFlNPJnTt3Nhh/6WMf zTu5W7duVPXGG28oq/jscfPmzaxk4sSJ0nld27ZtSSYHDhyQbqX8zVFJeHg4 Re7Zs4d9lLUgw1pODgkJYcFs0UbG8OHDDcZnhnmJHZwshabx7LpA+83MzLR6 twfAInCyiHI6uWvXruqd3LJlS6oaNmyYsopPLPnqK7Xw3XffNWjQQOZY2hd/ ZoxmyAbjT2Nvi0lMTKRImq+yzWNjY80cqbWcvGnTJhYcFxen3Au7X6BteYmd nUzQxYJl6O/vb90+D4Aa4GQR5XRys2bNqMrNzY19NO/kvn37GoyPvSmroqKi 2Ia7d++Wlt++fTsyMnLZsmWjRo1ydHRkMR06dGC17GE5mqtbPMzDhw+zbXft 2mUmjDt51apVsiozTv70009FuwsODlbupX///gbjD528xP5O5svLc+bMsW6f B0ANcLKI8jg5JSWFjevFixezEvNOnjx5MlXVrl2bvXYh5dtvv2UbsmmtSWgr vljBHoqePn06uwFnvwya4erVq2xD2YMcMgoKCljYV199Jasy4+Rp06bJgjMy Mljw119/LasqLi5mz8iNHj2aF9rfyTExMSzDNWvWWLfPA6AGOFlEeZw8duxY Nq7j4+NZiXkn+/n5sVoPDw9peUlJSatWrQzGB33ZYxKnT5/et2+fsgV3d3fW wuXLl+9LHk52dXVVBpP9aI/8I1voqFWrVmZmpizy7NmzNBtn/2aapRm4NICy IvEqnUwzdioZMGCArMHS0tLWrVsbjH/nhzwvreKrKHQZ4oU2cnJRUdGePXtk L1YTT58+ffPNN1kaR48eteUIAMA0cLII9U4m/2zcuPHixYu5ubnHjh0bOXIk G9QTJ07kkeadTIXspyUHBwcfHx/2PjVNKclpbCv+5l1AQIDB+NTx/v372UMX ZDbSJhNdy5Yteft8WxcXl7i4OGqTVJyQkEDtsxfi+CN5wcHBLPKFF144cOBA YWEhVSUlJdHMuXr16uz55Pt/rYcYjG+RpKenk4HXrl3bpk0bw19Incwf4fP3 96cMc3JyQkJC2GUlMDCQxb/22mtpaWn3/3pxu2bNmgbjD3zS18lt5GTaLzVL 1zsvL6+TJ0/evXv3wYMHJ06cGDp0KMutR48ejx49sttwAIADJ4tQ72STtG/f /sqVKzzSvJOJ6OhovixctWpVmhjzpoYMGcK3Yk7m0M0+f02b/iFdpCXtSIVJ teyvBHOkj0lLX6yuVKmS9Li4k/mj0TKqVKmidHJ4eLgykp/P0aNH88JGjRqx J5YNxrl6aGio8gzbyMkiGjRoQLcbdhsLAEiBk0WodzJNcaX2I7XS7TzNNqWR 7F050p3IycSFCxd69+4tlQNNHWV/AiIzM3Pu3LmyF7QNxiWFqKgoWYM0L3V3 d+dvqDFIzoMHD6aJvSyYfC79gxJMTf/4xz/YVJaxYcOGOnXq8IC6desuXbqU z3vPnj0rbZAm5OzlRAZdEa5evcprPT09pU0Rr776qqwFgr0zrlzENo/FXk0x Hh4e7BFE2cmZMWMGnTe7DQQAZMDJIsq0nkxzzoyMjJiYGJorKl/TKxO5ubmR kZEkuqSkJOWLdZysrKy4uLiQkJDY2FjRmyOcGzduUG4HDx4k6Yn+0BwjLy+P GqRZbnp6usnLBwXQlH779u2JiYlmri+M4uJiOiF0OBSs3C9tTvkEBQUdOnTI 4m+RZUJ9r6YcUlNTw8LCfvzxx/Pnz+PvDoEKB04WUc5n4UAFUlG9GoDyAyeL gJP1C5wM9AucLAJO1i9wMtAvcLIINRl27969Q4cOPj4+9kkJqAROBvoFThah /QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNFaD9DIAJOBvoFThah /QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNFaD9DIAJOBvoFThbx LwAAqCDgZCUV+40AAP6bgZOVsAwfAQCAHYGTRcDJAAD7AyeLgJMBAPYHThYB JwMA7A+cLAJOBgDYHzhZBJwMALA/cLIIOBkAYH/gZBFwMgDA/sDJIuBkAID9 gZNFwMkAAPsDJ4uAkwEA9gdOFgEnAwDsD5wsAk4GANgfOFkEnAwAsD9wsgg4 GQBgf+BkEXAyAMD+wMki4GQAgP2Bk0XAyQAA+wMniyiTkx8+fJhnhP5h0+/L DEePHj137lxF7R0AYBXgZBEqnXzt2jV/f/8VK1YsM3Lx4kVRZFJSUlhY2G+/ /abyqylT/B9//EF7DwwMVNk4AECbwMki1Dg5JSVl+fLlJMNdu3ZFR0eHhIRc vXpVFLx3716KvHfvnsqvpkzxcDIA/xnAySIsOpliVq9eTTPkS5cuqTnVZhxL Ri1TvMkW4GQA/gOAk0VYdHJ8fDxpMDY2Vs15prA1a9ZQ/A8//LDVSGlpKZVf vHiRLX1QLU22CwsLzcSnpqZSsJeXl4eHh6enJ03Lb968yeItOjkuLu7atWtq uwUAoIKAk0VYdPKWLVtIg1lZWUlJSaTQM2fOFBUViYJPnDjh7e3NtLnbCO3i 7NmzVEJ2DQsL27dvH5mWJt537twRxUdFRVHwnj17wsPDg4KCqJb8TOWPVDj5 4MGD1H5CQkI5OgsAwObAySIsOpl8uOzfWb58eUpKiihethbx8OFDsu6qVau4 yc+dO0cBP/74o8l44v/+7/+kqxyRkZEUwJK06GRqh2mclE7tWO4ZAICKAE4W Yd7JDx48YFPc1NTUu3fvkuVo0rvcSHFxsclNZI7Nz8+XGviR0avU4Nq1a03G 8+8rIiKC3Ovn50fBFMCef1OznkwxNE+msI0bN6rrHQAAewMnizDv5N9//530 +/3330sLw8PDyXjnz583uYnMsRkZGfQxKipKGrN+/Xpq1mQ8ERYWRiUrV64M CAg4cODA9u3by+RkunDs27ePTZXN9QkAQMUBJ4uwuHaxYcOGFStWSBcTDh06 RMZLSkoyGS9zbE5ODn3ctm0bD6Cdenh4eHt7m4wvKiqij3QVKCkpYSVsOVql k2l369ato/aPHz9u8jEPAIAWgJNFWHTy/v37SYMkRl7y3XffUcmNGzdMxh88 eJBq8/Ly2Mdff/2VlE6zYr66SxNsCti5c6fJ+MuXL9NH2ilvMDY2Vr2TQ0ND vby8rly5YrFLAAAqEDhZhEUn3759e6WRn3/++dSpU/7+/mTFoKAgUfzJkycp ICAggIIjIyNpF0ePHqUS2jA5OZlq2cNvWVlZJuNJziRw2l14eHhcXNyOHTvY D4sqnZyamipa6AYAaAc4WYSa9/gogM2NGTQXvW98Ms0kv/32G019v/32WxZM hnz48GF0dLSHhwcr8fT0TE9PNxOfkpKyfv169tHX13f37t30D5LtI6OTqR0+ xwYA6BQ4WYQaJz8yypAmzNnZ2SofMHvw4AHF//rrr9KSnJycgoICk8u8yvjc 3Nz8/HysCQPwHwmcLEKlkwEAwIrAySLgZACA/YGTRcDJAAD7AyeLgJMBAPYH ThYBJwMA7A+cLAJOBgDYHzhZBJwMALA/cLIIOBkAYH/gZBFwMgDA/sDJIuBk AID9gZNFwMkAAPsDJ4uAkwEA9gdOFgEnAwDsT8U6GQAAgBI4GQAAtENFObmi 1yfMof0MgYiK6tUAlB84WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNFaD9DIAJO BvoFThah/QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNFaD9DIAJO BvoFThah/QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNFaD9DIAJO BvoFThah/QyBCDgZ6Bc4WYT2MwQi4GSgX+BkEdrPEIiAk4F+gZNFlCfD0NDQ L7/8ctmyZdZNCaikrL366dOntJXtejsA6tGdkzMzM996661BgwbZ2njlcfJn n31mMBgaNmzISxYtWtTOSGpqqnXyA2JU9mpSsZ+fX58+fRwdHen7atKkyeDB gyMjI+3Q/wEQoS8n37p1q1u3bgYj7777ri2GM8e6Tp42bRpL+8yZM9bJD4hR 06vv3LnTv39/gymmTJlil0EAgAl05OR79+6NGDGCDxx9OdnHx8fFyKVLl6yT HxCjple7urqyjjRy5EiaG6elpQUGBrZq1YoV7ty50z4DAQAZOnIyE12VKlX0 6GRgTyz26rCwMNaL3n//fWl5UVFRo0aNqLxp06Z379618SAAwAR6cbK3tzcb RGvXrn3hhRc05eQLFy54enq6ubkNHz58xowZO3bsoP/KnJycnOzn5+fv70+z fdnmR44cWbJkyaRJk2jmNnv2bDrAjIwMaUBAQABte/r0adp2//79CxYsoB1N mzZt06ZNdAOuzKekpCQoKOiLL76g24qJEyeuXr3azIKJxb0zsrKyaHd0rRk2 bNjkyZNXrlxJR63m5FQIFnv1vHnzWHfKzs6WVW3evJlV/fDDD7YcAQCYRhdO 3rdvX+XKlWmYkDToo6acvGXLljp16phclpQ6ecWKFazw9u3bvJCE0K9fP+WG lSpVmj9/Pg+rVq0aFZJge/bsKYvs1avX9evXpfmkp6e//vrrsjC6uSDxyi4H KvdOhISENG7cWBZGR71+/foynlQ7YbFXu7i40CHUr19fWZWTk8MO8IMPPrBZ 9wdAiPadfPLkSSa9UaNGlZaW3teSk7du3crGL10yyIR0I/zOO++QilU6mZmB eOWVV6ZOnUqza2dn5xo1alDJuHHjeBhzMrdrly5devfuXbt2bVYydOhQHnnz 5k0uT4qhSxhNgOk2nJXQ5FCavMq9b9u2jYU1adLk888/X7NmzaxZs/gxxsTE POP5tSUWezX7dY/61dOnT2VVT548qVq1KtW++eabthwBAJhG406mmObNm9MA efXVVwsLC1mhRpxcUFDAciNBHT58mJeXlJSQ0yw6+dKlS6yEFCdtlua9M2fO /Oijj3gJc7KDgwOV5+bmssLMzMxOnTqxFk6dOsUK586dy0q8vLykDbKZM7XD FxxU7j0/P/+5556jsD59+tAEUhrGjp1aNnsWKwaLvZquVuzw6YQoa1kHo0Oz WfcHQIiWnXzr1q2uXbvS6GjRosXVq1d5uUac7Ovry8b1hg0bZFXK3/iUTo6I iGAlVGU+E+Zk2SxX2gKrKioqql69OpshyyLj4+NZJCVWpr2ztCkB5SIzad9g XOgwuaZdsVjs1UFBQezwO3fuLPstLzk5mf3M169fPxsPAgBMoFkn37t3b/jw 4TQ0HB0dExMTpVUacTJ75LhevXrFxcWyKjVOpml/rVq1qIQMsHLlyqysLNGO mJMXLFigrHJycqKqsWPH3jf+jCi6RhAdO3akqiFDhpRp7xMmTGDXxB8VLFq0 iO0uKSnJzFmqECz26sePHw8dOpTlT9/g5MmT6fROnTqVzQEY48ePt9twAICj WSdHR0ezoREYGJjz7zRr1szw/9o58/AoqnT/N4oLDuACMo6OwsjVC24jqMwg orI4KnOBK0EWUWRTZxQFZIZBIw4GAkgWlrAEJKwJIawxARISIDGIARMSICyZ AAYSggRCIMjiMMrz+/76faynblef7krS6VSF7+cPnvSpt069XX3qU+ecOoVz Wal8NK5k8OF17SHgmWeeQRq4io2bzDgZDBgwwKGjZcuWAQEBa9eudanNg5PR zXM4n/Sddz6Jk3oSEhKMkXKDa9GiRaWObnyqaCQxMdHDWaoVzLRqNBv5BV2Q Oz4YO3asf64FQvRY1smbNm3yagMB9q6569pDwP3334+jd+7c2bjJpJOhhenT p99+++0u3wiOzczM1MI8OFn6deLkuXPnyu7p6enGyF69ermkZObo6CE7nOsT /qzGZRRjBcy36q1bt44ePbpv374Ya+AMr1y5MicnR85DZGRkTV8FhBipA05G ZM1d1x4C2rdv76heP1lASVJSUlBQUI8ePeQ/XgCtW7fWAjw4WYYMUAr+3rhx o+wbGxtrjJSVBo888kilji6L5dAb93AeLEh1WvXMmTPlJGRlZfm2zRNiBss6 +ezZs4cVyOIu9NDkIyJr7rr2EAATIo1GjRoZNVspJ+s5ceKENl2gLTxWOTk3 N1cix40bh4/5+fny8aOPPnKJPHPmjKyR69mzZ6WOPmzYMIfzGd/Ro0c97Gg1 qtyq0ZbkNtelSxeft3lCzGBZJ3vAIs/4JkyYIPpyeaYGs3Xq1MmrkzMzM1et WmWsNjAwUCIPHjwoJSonY7gtkRkZGfhYUVHRokULfGzSpMnJkyf1kchQIj// /PNKHV1bnBwQEGAMhuoxwPdwimqLqrXqixcv6k9pTTR7QrxCJ6vwmmFxcTE6 ydKNnDZtWl5eHkQXGhoqC3e9OjkqKsrhXPe7evVqWfYAkSYlJYlX77vvPu3Z pTi5devWc+bM2b9/P467devW7t27S4UDBgzQjrJ06VIpfOqpp/bs2XPeuVh6 3rx5DRo0cDgf8JWVlVX26M8995zU2bVr1/T0dNQAFW/bti08PLxly5Yolxd5 LIWZVg0DR0dHl5aW/vTTTwUFBbGxsfJ1HM5XZvxzFRBihE5WYSZDravsFjNO 1rjzzjvl/XGH861A/Zyw/j0+F1q1anXo0CF9Sj179tS2Nm3aVFYsg1tuuWXd unVamPmjw+3yNFPbWr9+ff2+NnWy9g61Hny7oKAg48t9hPgNOzoZvTjHLw+2 ag6TGUZERGjecziXKISFhcl8cpMmTbSwyZMnS4D2hgX6ZqNGjdI61RodO3ZM Tk7WH0Kc/PDDD+vd2Lhx46FDh2rvNuoJCQlx+S84nnjiiV27duljzB8dIOfA wEDtfWpNX507d0bX3eT59CdVcHKzZs1eeumllJQU/7R/QlTY0cn+wXyGGM6n paUtWbIkOzu7CoulCwsL09PT4+LiUInbdze0+WT0SPPz81NTU3Egz71TpAEJ Y2y+fv16z4/nvB5dD6rC0ePj41G5Ng1iQcy06p9//hmnEd9l48aNJSUl/mn2 hHiFTlZhnQw9rIUjbqmtVk1I9aGTVVgnQzq5stDJxL7QySqskyGdXFnoZGJf 6GQV1smwTZs2rVu3Dg8Pr+1EbAOdTOwLnazC+hkSFXQysS90sgrrZ0hU0MnE vtDJKqyfIVFBJxP7QiersH6GRAWdTOwLnazC+hkSFXQysS90sgrrZ0hU0MnE vtDJKqyfIVFBJxP7QiersH6GRAWdTOwLnaziX4QQUkvQyUZq9xchhFzL0MlG rJ8hUVFbrZqQ6kMnq7B+hkQFnUzsC52swvoZEhV0MrEvdLIK62dIVNDJxL7Q ySqsnyFRQScT+0Inq7B+hkQFnUzsC52swvoZEhV0MrEvdLIK62dIVNDJxL7Q ySqsnyFRQScT+0Inq7B+hkQFnUzsC52swvoZEhV0MrEvdLIK62dIVNDJxL7Q ySqsnyFRQScT+0Inq7B+hkQFnUzsC52swvoZEhV0MrEvdLKK6mS4bt26v//9 70FBQb5NiZiksq366tWr2KvmWjsh5qGTVVQnw/fee8/hcNxxxx0+zajWOHjw 4N69e4uKioybPvnkkwec7N692/+JqTDZqqHiyMjIDh06NG7cGL9Xs2bNOnfu nJSU5If2T4gKOlkFnayBL4Kvgy9l3DR06FCHkx07dvg/MRVmWvXp06efffZZ hzvefPNNv1wEhLiBTlZBJ2t4cHJ4eHhXJwcOHPB/YirMtOqAgAAxcPfu3dE3 3rNnz9KlS5s3by6Fy5Yt88+FQIgLdLIKOlnDg5OtiddWnZCQIO59/fXX9eVl ZWVNmzZF+a9//euzZ8/W8EVAiBvoZBXmM9y3b19ISEjfvn1ffvnlt956a8mS JfjXxclZWVmRkZHz58+XjydPnkxOTsbH1atXS0leXl5UVNSYMWMGDx7cs2fP N954Y/To0cuXLz937pzL4fRV5efnT5s27bXXXnvllVeQAzp7EgO3REdHjxgx 4sUXXxwyZMi8efMqKir0lWDknpiYGBwcPHz4cGSOviKO+Nlnn+3fv18flpub i2PdfPPN+DqdOnWK1IEaEJCdnS3JaHnGxMREqtm6davL1yksLJw7dy6Ej1QH Dhw4adIknE8zp90DXlv1hx9+KE4+duyYyyacK9n0xRdf1OQVQIh76GQVJjNc sGBBw4YN3U5L6p08fvx4KSwuLn777bevu+46+XjDDTdIQPv27d1WgtE0JKw/ olYVJOxy6MaNG2dmZqanp7dq1cqlHtwv9HqHkN0e7vrrr3///fe1sPDwcLdh QE4OrC4fT506Jbvcc889ql3AoEGD9N8lLi7uzjvvdInBl4qIiKjs76XHa6vu 2rUrDnTbbbcZNxUVFUkauDnWWPMnRAmdrMJMhgsXLpTrF45t164dBsL/8z// IyN9h8LJd999t94/Lk6Ggbt16zZs2DD0Wh988EGJadmyZWlpqbEq7SjowSJG PjZq1EiEj3/btGnzhz/8QXq5YPHixVol4uQbb7wRx+3fvz9uEzhugwYNJFJT YmxsLALq1avncC5LaK/j6NGj5905OSAg4BkD2j3o448/1nJYtGiRFKJm3Aim Tp36wQcfaGcvNTW1mr+dh+YnT/cg/6tXr7ps+vnnn/GjYOuf/vSnmrwCCHEP nazCa4YnT54UwUIjGzdu1MrLy8v79OmjcjJ4+umnZ82atXPnzpycnISEBAlA jxElLocYMWKE7LJp0yZjVffeey/20iYlcEeQcij0nXfe0ZauodsskoF19d8u JibmxIkT+sPt3btXeq3PPfecvtzDfLLRyUY2bNiA7jdicIM4c+aMFOLQv/nN b1DYoUMH/Sq77777Ts4q7nGqCr3itVVrJ3bfvn3Grb/97W8lgRpr/oQooZNV eM1w2rRpcl1DsC6bjM/4NJHOnDnTZWrXAwUFBbJXWFiYsaqSkhJ98FdffSXl 48aNc6kHdwGUP/zww16POGjQIEQ2adJEX1gdJx84cAC1OZxPzQ4dOuSyIzrq +fn5LruEhobKnUWmrKuA11YdHR0taT/66KMuz/Kys7PlMV/Hjh1r+CIgxA10 sgqvGcrS3FtvvVXr+2l4cLLxmZ0GXI2uMozUt2/f559/HrrQJjo+/fRTr1Ud PXpUyo3vDw4YMECmCFzKjxw5ghvKW2+99fLLL7dt27ZFixa33HILIuvXr68P q7KTIVVU63BO0aSkpOg39e/fX7r6awx88sknUqfLRLp5vLbq//znPy+88IIc Bb/gwIEDx4wZg/vR73//e204069fP79dDoRo0MkqvGb4zDPP4MrFVWzcVAUn o3umTSAbMeNkCFDlZFkHcuedd2ol2BcWkoliI75y8htvvCFbMaZw2fTkk0+q vqxGYmKi23PlFTOtGmdAfkEXZOICjB071j/XAiF66GQVXjO8//77ceV27tzZ uKmyTs7IyNBWULRp02bkyJFz58798ssvt23bZt7J6K6rnPzOO++4OLlXr14S 3KBBA/SiJ06cGBsbm5qaKnMXPnGyNrcDMxt3RA/Z4Vz58Gc1xgl2k5hv1Vu3 bh09ejQGJr1798ZNauXKlTk5OZJ2ZGRkTV8FhBihk1V4zVBWSvikn6w9cpo9 e7bLJunK+tbJx48fl4UQ6KwWFBToIwMDA1VOfvfdd42Zq5wMvcuDxbZt27qd Fu7YsaPDOZ1r3FR9qtOqZ86cKd8oKyvLt22eEDPQySq8ZojOlcO59szYRays kx977DFseuCBB4ybasLJ6BJLZFRUlEukBycPHTrUmJ5bJx86dOiuu+5yOJ8V qt65HjZsmMP5jE/W1PmWKrfqs2fPSuZdunTxeZsnxAx0sgqvGU6YMEF05LLu 4sSJE506daqUk3/3u985nM/gysvL9eXaUgrfOnn+/PkSGRISog9Dh7Z79+5G J7du3dphWCAnGJ2MNP74xz86nK+fbNiwwbiLoC1ODggIMG5FJZGRkap9vVK1 Vn3x4sXevXtLVhkZGTXR7AnxCp2swmuGxcXF6CRLZ2/atGl5eXmZmZmhoaHa YgnzTu7Ro4dshTzT0tKOHTuWkJAwZMgQ7Rmcb528Y8cOiWzRosXChQu/++67 7Oxs3Flkhtzo5G7dujmcL6FA5idPniwqKoqLi5MZCaOT5XkiQE8414D+lELy Etm1a9f09PSysjJ8hW3btoWHh8srMOYXDbpgplXDwNHR0aWlpT/99FNBQQHG Dtp7N3369PHPVUCIETpZhZkMta6yW8w7GSKCBo01yJSsz50Mevbs6SFzFye7 fRH7X+7ercYYwUO14PHHH9eq3bNnj3YXcDid73ISatTJ2jvUepADzp7x5T5C /AadrMJkhhERETfddJN2Ud92221hYWEyn6x/8wJXusP5HoRqLRx6njKTKSAS vUd0aOUNOHjYa1Xl5eWy78SJE10q/+tf/+pwvrWhlaCT369fP72OmjVrhlvM Rx995HD2/F1qQN9VBgWatA8fPozyyZMnS4l0m7///nvPTm7btq2+WuwVGBio vU+tibFz585z5szxevJVVMHJ+PovvfRSSkqKf9o/ISroZBXmM8SgOy0tbcmS JdnZ2R5eCfEKxtFbtmxZuHBhQkKCy3KIGmLfvn0rVqyIiYlJT08/e/as52D0 w/EFk5KSdu7cia/s20yOHj2ampoaHx+/a9eu6lduplX//PPP+Do44saNG0tK SvzT7AnxCp2swvoZEhW11aoJqT50sgrrZ0hU0MnEvtDJKqyfIVFBJxP7Qier sH6GRAWdTOwLnazC+hkSFXQysS90sgrrZ0hU0MnEvtDJKqyfIVFBJxP7Qier sH6GRAWdTOwLnazC+hkSFXQysS90sgrrZ0hU0MnEvtDJKqyfIVFBJxP7Qier sH6GRAWdTOwLnaziX4QQUkvQyUZq9xchhFzL0MlGrJ8hUVFbrZqQ6kMnq7B+ hkQFnUzsC52swvoZEhV0MrEvdLIK62dIVNDJxL7QySqsnyFRQScT+0Inq7B+ hkQFnUzsC52swvoZEhV0MrEvdLIK62dIVNDJxL7QySqsnyFRQScT+0Inq7B+ hkQFnUzsC52swvoZEhV0MrEvdLIK62dIVNDJxL7QySqsnyFRQScT+0Inq7B+ hkQFnUzsC52swvoZEhV0MrEvdLIKMxkGBgb+/e9/37Bhg39SIiahk4l9oZNV mMnwxhtvdDgcY8aM8U9K1ef777/fu3dvXl5ebSdSs1S2VV+9evWFF15o167d t99+69tgQioLnayiTjo5JCTE4eT48eO1nUsNUtlWvXLlSjktycnJvg0mpLLQ ySroZPtislXHxcVNmTKle/fu119/vVfNViqYkCpDJ6ugk+2LyVZ93333Of4v HjRbqWBCqgydrKKyTt6wYcPHH3/crVu3/v37BwcHf//99y7BeXl5UVFRCB48 eHDPnj3feOON0aNHL1++/Ny5cy6RGRkZkZGRy5YtMx4RA2dsSklJ0UqysrJQ Mn/+fPx95MiRWbNmDRo06KWXXvrggw8gDf2+qPDVV18Vn4SHh0f+wtatW02f FXtgslWHhoZ+7AQ/mVfNViqYkCpDJ6sw7+R+/fr96U9/culE3X///S6P0tq3 b+9wR/PmzeFVfeRf//pXlDdp0sR4xIceegibevXqpZWMHz9e6pk2bdptt93m UnlgYKAW2bRpU7cJvPnmm1U4P1amsq06PT3dvGYrFUxIZaGTVZh3skarVq2e e+6522+/XT727t1bHyxOhoHRlx42bBj6yQ8++KBEtmzZsrS0VIusmpOFxo0b I4dHHnlEPl533XWa8P/85z9rA/Ann3yy/S9MnDixymfJmtDJxL7QySoq5WSM ZwsKCqSwsLBQZFuvXr1Tp05pwXFxcTt37nSpYcSIEVLDpk2btMKqOfmee+5Z unSpNhOCsbaUf/jhh1ow55PdQicT60AnqzDv5OHDh7uUBwcHy2WbnZ3tuQaY XCLDwsK0wqo5uaSkRB9ZXl4uUxn6YDrZLXQysQ50sorqrLvQlrBu3LhRX15R UYGuMnqwffv2ff755x999NG7775bIj/99FMtrGpONj4rbNOmDcqfeeYZrYRO dgudTKwDnayiOk7G1SqXrf61a/SZtQlkIzXh5GeffRblHTp00EroZLfQycQ6 0MkqquPklJQUFydnZGQ0bNhQCtF9HTly5Ny5c7/88stt27bVnJM7depEJ5uB TibWgU5W4Vsna8/yZs+e7RJcr149t05u3Lix8Yi+cnJxcbHnr2Zr6GRiX+hk Fb518mOPPYaPDzzwgLESo5NF4Cg3araaTtYWYxw5csTzV7M1dDKxL3SyCt86 +Xe/+x0+NmvWrLy8XB/51VdfGecuNHMmJSXpgzMyMu64447qOHnZsmUSrF96 V/egk4l9oZNV+NbJPXr0kJJ33nknLS3t2LFjCQkJQ4YMkU6yi5OhYil88MEH U1NTDx8+HB8f/+abb2rBVXby119/LcHt27fft28fbhDffvst8qn86bE0Jlv1 hQsXzjlJTEyU07Jq1SopwabqBBNSZehkFb518rZt2+rXr+8wcMMNNxidDCBS Y7BWQ5WdfN7dK97X7LvVzZs3N55koXXr1tUJJqTK0MkqzGR4880345IcO3as S/nmzZvlatVPPsTFxd11113ahYxOb9euXXfs2CH/9yPUqq8hPz9fjKoBlyJY XprWv7UdFBTkUEw+d+nSBZs6duyoL0T3+Pnnn9fXjK67+dNiC0y26hYtWqg0 +9BDD1UnmJAqQyerqIkMS0tLt2zZsnDhwoSEBO1dbBUVFRW5ubmxsbHr1q07 duyYbzMpLCxMTU3dunWr1zTsSG21akKqD52swvoZEhV0MrEvdLIK62dIVNDJ xL7QySqsnyFRQScT+0Inq7B+hkQFnUzsC52swvoZEhV0MrEvdLIK62dIVNDJ xL7QySqsnyFRQScT+0Inq7B+hkQFnUzsC52swvoZEhV0MrEvdLIK62dIVNDJ xL7QySqsnyFRQScT+0Inq7B+hkQFnUzsC52s4l+EEFJL0MlGavcXIYRcy9DJ RqyfIVFRW62akOpDJ6uwfoZEBZ1M7AudrML6GRIVdDKxL3SyCutnSFTQycS+ 0MkqrJ8hUUEnE/tCJ6uwfoZEBZ1M7AudrML6GRIVdDKxL3SyCutnSFTQycS+ 0MkqrJ8hUUEnE/tCJ6uwfoZEBZ1M7AudrML6GRIVdDKxL3SyCutnSFTQycS+ 0MkqrJ8hUUEnE/tCJ6uwfoZEBZ1M7AudrML6GRIVdDKxL3SyCutnSFRUuVVf vXr14sWLPm/thJiHTlZh/QytzMGDB/fu3VtUVFQrR69Uq/7pp59iYmJGjBjR sWPHRo0aORyOm2++edWqVTXa/glRQSersH6GVuaOO+6A3N57771aObr5Vl1a WtqpUyeHgfnz59f0JUCIW+hkFdbP0MrYwsnZ2dn33HOPSPjpp58OCgpas2ZN XFzcyJEjk5OT/XAVEGKETlZh/QytjPWdfPXq1d///vdI8qabbpo1axY++qfl E+IZOlmFmQyjoqIiIyMzMzPPnTu3evXqMWPGvPzyy0OHDp07d+7p06f1kVlZ WYjEiFg+njx5Ej0xfMRe+rBdu3aFhIS88cYbqGfUqFGLFi0qKytze+hNmzaN Hz8ekQEBASNGjJgxY0Z+fr4xrLCwEMnAjS+++OLAgQMnTZq0b98+1dfJyMiY Nm3asGHD+vXrN3bs2GXLlp06dUo2lZeXz5s3D18hNzfXZa+DBw9GOjlx4gQ+ IgB/33zzzdBdp06dInXozwkqjI6O/tvf/tatW7cBAwZMmTJlx44dHs6wfNyz Z8/SpUtxWjx8i/PmnLx27VrpIQcHB/unzRNiBjpZhZkMb7zxRlzUsMqTTz7p MiH5hz/84bvvvtMi4U8pLy4ufvvtt6+77jr5eMMNN2gxU6dOlQr1PPbYYxhi 6w967Nixjh07GqdA69WrN3r0aH0khuF33nmnS1jDhg0jIiJcvsjx48ehd2Od t956KxyIgKKiIikJCwtz2RdqlU2SZ3h4uLEeQTufeXl57dq1c9l6/fXX4yzh 7mY8w7jZrV+/vmXLllrwP//5Tw+/i9dWjV7x448/jnpatWr1n//8x2/NnhCv 0MkqzDtZUwr8+fTTT//qV7+SkhdeeEGL1Jx8991360WkOfmzzz6TEoz6X3vt tZEjRz7//PNS0rhx4yNHjmhVde3aVcofeuihQYMGvfXWW+3bt5d+aZ8+fbQw dCYlrFmzZu+//z6E/8EHH8iUAkhNTdUiz5w5g6qk/N5773311Vf79u373//9 31LyySefnK+Mk2NjY5EPbhBy6PY6jh49et7pf+1OgdOFTj5uB7/+9a+l5MMP PzSe4dtuu81F4NV0cklJidQD21++fBmjGKSNgUBiYiK+qd+uAkKM0MkqzDu5 fv36w4cPRwdYCgsKCh555BG55L/55hsp1JwsIpo1a9bOnTtzcnISEhKwFcqV VVjYUT8FAUvILoMHD5aSAwcOSAkEq88EfXLkgB64fDxx4sRvfvMbhHXo0EG/ IA1hclNAN1UrDAoKkjrffPNN/fQCvN2mTZvKOlnwMJ88atQoiQ8NDdUnJj1n nFL9vIR217vlllug63Xr1mFrWlra7t27Fb/J/8drq8bvItXioC5DCfyar7/+ ellZmd+uBUL00MkqzDvZpWsHNmzY4NLr05w8c+bMiooKl/iPP/5YtmKE7rKp W7duKL/uuuukk6nVHBwc7CExbBW/GSeZYUKHc6JD9FteXg7doeSBBx44e/as SzBSlXuNr5wM1910001yY3LZlJGRIfXo95Iz/NRTT3meQHbBa6tGr1jv4Vtv vRV3w/vvv18r6dix448//ui3y4EQDTpZhXknY/xr3NSkSRNs6t27t3zUnOwy Xyr06tULm+655x7jppiYGNlx8+bN+FhaWioKbdq06aRJkwoLC90m1r9/f4dz ImKNAfR7pUIM2BGJvrp8nDp1qodv6isnI0aCMVIwHuXhhx/Gpi5dumglHs6w B7y26ilTpkgaAwcORJdbK8cwpG3btrIJB63564AQV+hkFdV08qOPPupwPumT j56dLM+b/vjHPxo3ab3HefPmScmAAQP0fbyWLVsGBASsXbtWv5fxmaORxMRE RK5YsUI+utTggq+cHBcXJ8EyaePCyy+/jE0tWrTQSmrIyf/85z8ljSNHjrhs Kikpkenrdu3a1eQVQIh76GQV1XSyrH016eT77rsPm1588UXjJq1jqc2+oobp 06fffvvtLo7FsbQ1Y+ghO5yPxv6sZufOnYhEf1V2T0tL8/BNfeXkuXPnSnB6 errxKDJewL5aSQ05ecmSJZLG119/bdz6wgsvOJxvWHNJBvE/dLKKajr5rrvu wqa+ffvKR89OfuaZZxzOZW/GTcnJybLj8uXL9eWnTp1KSkoKCgrq0aNH48aN JaZ169ayVRbLoa/u9Wtu3LhR9o2JifEQpjl58uTJLps8OPndd99VHS42NtZ4 lGeffdbhfNCpldSQk7dv3y5pLF261Lj1tddek638/4iI/6GTVVTHybm5uXJR jxs3Tko8O3ngwIHY9Ktf/Upeu9Dz+eefy47SrXUL9tImK2RR9LBhwxzOZ3zy ZNADhw8flh1dFnK4cPLkSQkbO3asyyYPTh46dKhLcH5+vgR/9NFHLpvOnDkj SyB69uypFdaQk0tLSyWNkSNHGrfKrQFjjRpr/oQooZNVVMfJvXv3lks+IyND Sjw7OTIyUrZOmDBBX15eXt68eXOHc6GvLJPIzMxctWqVsYbAwECp4eDBg+d1 i5MDAgKMwbAfjqh9lImOW265paCgwCVy165d6I3L36JZ9MD1AcgK4jU6GT12 lDz33HMuFVZUVLRo0QKbmjRpAs/rN2mzKLgNaYU15GTwxBNPOJwvVrtE7t27 9/rrr5dbQ01eAYS4h05WYd7J8M+cOXP2799fXFy8devW7t27i1sGDBigRXp2 MgplyUH9+vXDw8PlfWp0KeE02Ut78y4qKsrhXHW8evVqWXQBs0GbIrr77rtP q1/bt2vXrunp6agTKt62bRvqlxfitCV52sKw3/72t2vXrkUfEpuysrLQc4ay ZH3y+V/mQxzOt0jy8vJg4BkzZujXj+mdrC3hmz9/PjIsKiqKi4uT28rSpUsl /qmnntqzZ8/5X17cbtCggcP5gE//OnnNOXnHjh3yYkurVq1wp5NCnJ//+q// kiEG5Fzz1wEhrtDJKsw72S240g8dOqRFenYySElJ0aaFb7jhBnSMtaq6dOmi 7SVO1sBgX3tNG3/oJ2mhO70wsRXC1++rXyatf7EaptJ/L83J2tJoF6RX6eLk xMREY6R2PtEF1QqbNm0qK5Ydzr76unXrjGe4JpwM3n33XS0NjAK0848zgNuN H64CQozQySrMOxldXL39cGljOI/epj5S3pXDxa5yMti3b9/TTz+tlxi6ji7/ BURBQcGoUaNcXtB2OKcUkpOTXSpEvzQwMFB7n1qTc+fOndGxdwmGz/X/oQS4 /fbb//KXv0hXVpg1a1bDhg21gEaNGn322Wdav3fXrl36CtEhl5cTBdwRDh8+ rG0NCQnRVwWeeOIJlxqAvDNunMT2jPlWvWjRIllJroFRD3rLNd3+CVFBJ6uo 1Hwy+pz5+fmpqanoKxpf06sUxcXFSUlJEF1WVpbxxTqNwsLC9PT0uLi4tLQ0 1ZsjGkePHkVu8fHxkJ7qP5oTSkpKUCF6uXl5eW5vHwhAl37x4sU7d+70cH8R zpw5gxOCr4Ng43GxO/KJjo5ev36912eRlaJSrfrnn3/GnQ4nB3ni29VosyfE K3SyimquhSO1SG21akKqD52sgk62L3QysS90sgo62b7QycS+0MkqzGTYpk2b 1q1bh4eH+yclYhI6mdgXOlmF9TMkKuhkYl/oZBXWz5CooJOJfaGTVVg/Q6KC Tib2hU5WYf0MiQo6mdgXOlmF9TMkKuhkYl/oZBXWz5CooJOJfaGTVVg/Q6KC Tib2hU5WYf0MiQo6mdgXOlnFvwghpJagk43U7i9CCLmWoZONSIZXCCHEj9DJ KuhkQoj/oZNV0MmEEP9DJ6ugkwkh/odOVkEnE0L8D52sgk4mhPgfOlkFnUwI 8T90sgo6mRDif+hkFXQyIcT/0Mkq6GRCiP+hk1XQyYQQ/0Mnq6CTCSH+h05W QScTQvwPnayCTiaE+B86WQWdTAjxP3SyCjqZEOJ/6GQVdDIhxP/QySroZEKI /6GTVVTKyZcvXy5xgj9q9PfywObNm3Nycmrr6IQQn0AnqzDp5CNHjsyfPz84 ODjIyf79+1WRWVlZCQkJFy9eNPnTVCr+3//+N46+dOlSk5UTQqwJnazCjJNz c3MnTpwIGcbExKSkpMTFxR0+fFgVvHLlSkSeO3fO5E9TqXg6mZC6AZ2swquT ETNlyhT0kA8cOGDmVHtwLIxaqXi3NdDJhNQB6GQVXp2ckZEBDaalpZk5zwib OnUq4r/44ouFTioqKlC+f/9+mfrAVnS2S0tLPcTv3r0bwaGhoRMmTAgJCUG3 /Pjx4xLv1cnp6elHjhwx2ywIIbUEnazCq5MXLFgADRYWFmZlZUGhO3bsKCsr UwV//fXXYWFhos3lTnCIXbt2oQR2TUhIWLVqFUyLjvfp06dV8cnJyQhesWJF YmJidHQ0tsLPKL9iwsnx8fGof9u2bdVoLISQGodOVuHVyfBh0P9l4sSJubm5 qniXuYjLly/DupMnT9ZMnpOTg4A1a9a4jQc//PCDfpYjKSkJAZKkVyejHtE4 lI56vLcMQkhtQCer8OzkS5cuSRd39+7dZ8+eheXQ6Z3o5MyZM253cXHsiRMn 9Aa+4vQqKpwxY4bbeO332rBhA9wbGRmJYATI+jcz88mIQT8ZYXPmzDHXOggh /oZOVuHZyT/++CP0O3v2bH1hYmIijLd37163u7g4Nj8/Hx+Tk5P1MREREajW bTxISEhAyaRJk6KiotauXbt48eJKORk3jlWrVklX2VObIITUHnSyCq9zF7Nm zQoODtZPJqxfvx7Gy8rKchvv4tiioiJ8XLRokRaAg06YMCEsLMxtfFlZGT7i LlBeXi4lMh1t0sk43MyZM1H/V1995XaZByHECtDJKrw6efXq1dAgxKiVTJ8+ HSVHjx51Gx8fH4+tJSUl8vHChQtQOnrF2uwuOtgIWLZsmdv4gwcP4iMOqlWY lpZm3snr1q0LDQ09dOiQ1yZBCKlF6GQVXp186tSpSU62bNnyzTffzJ8/H1aM jo5WxW/fvh0BUVFRCE5KSsIhNm/ejBLsmJ2dja2y+K2wsNBtPOQMgeNwiYmJ 6enpS5YskQeLJp28e/du1UQ3IcQ60MkqzLzHhwDpGwvoi553rkxzy8WLF9H1 /fzzzyUYhrx8+XJKSsqECROkJCQkJC8vz0N8bm5uRESEfJw2bdry5cvxB2R7 xelk1KP1sQkhNoVOVmHGyVecMkSH+dixYyYXmF26dAnxFy5c0JcUFRWdPHnS 7TSvMb64uPjEiROcEyakTkInqzDpZEII8SF0sgo6mRDif+hkFXQyIcT/0Mkq 6GRCiP+hk1XQyYQQ/0Mnq6CTCSH+h05WQScTQvwPnayCTiaE+B86WQWdTAjx P3SyCjqZEOJ/6GQVdDIhxP/QySroZEKI/6GTVdDJhBD/U7tOJoQQYoROJoQQ 61BbTq7tUQIhhFgLOpkQQqwDnUwIIdaBTiaEEOtAJxNCiHWgkwkhxDrQyYQQ Yh3oZEIIsQ4Wd3Jubu7ixYs3bdqkCrh48eLatWvLy8t9elaufPPNNykpKb6t kxBiEZKSkjIyMnxbZ1ZW1q5du1RbKyoqoqOjlyxZcu7cOc/1WNzJ69atCwwM nDNnjtutUHFsbGxwcPCRI0e8VmWSy5cvJyQkDBo0SHVQQojdmT59+uDBgzds 2IDr3Vd1onM4derUr7/++scffzRuPXbs2Oeffw5ZHT582HM9tnDyvHnzjJtK Skq++OKLTz75ZPLkyb5yMu5lCxYs6N+/f/fu3d0elBBSBxgzZgyu8ddee23R okU//PCDT+qMj4+HjmDdxMTECxcuuGwVJ0+aNKmuOjk/Pz8iIgKbcAa+/PLL 8+fPV+rsuaW0tBQn7ZVXXunRo8e4ceOOHz9e/ToJIRYEQ+xPP/0UWu7Vq1dI SMipU6eqX+elS5cWLlwILY8fPz4mJubMmTP6rXXYyf/+978zMzNDQ0NRjpFC RkYGSqp2DvXgRI0dO1Z+o7CwMJfzSQipY5w+fRo2Rh8MVz1k8t1331W/zrNn z8bGxsLJMPP8+fOLi4u1TXXVyRcvXty4cSO+FwrDw8NzcnKqcwI1du7cOXz4 cPw0ffv2XbBgga/GMtcmGF9s3ry5RkcZGBhWVFT45F7sAdSP9lbTR/FMUVHR 1q1b169f/9VXX9ViGnUVtCK4pU+fPrj233///ezs7OrXicaJkfvEiRPhqJkz Z+7fv1/K66STMdxYsWLFZ599hpKIiIhDhw5V/wRevnw5MTFx8ODB+FEGDhy4 evVqH875X5vk5uYGBQX5pHmrwAgRh/j+++9r7hBXnGtvcJTCwkLzu5w4cSLI HV4ftbvlwIEDWg24nN3GvPjii48qWLZsWRUOeq1x6dIlWOX111+HAYYOHYou n9sndJUCDtmyZcvkyZNhKnTF5alf3XMyWjt6sJ84waCgpKSkmuftivMuGRUV JU/0hg0bhg5J7XaK6gZ+cPLatWtnz56NsWcN1b93797k5OTg4GB8kUoNadEs sUtoaOiS/0vVnncsWrQItSEZeKOsrMxtTPPmzR0Kpk2bVoWDXoPgqk9JSYGQ 5akffq/qj5RRJ0bfMsUqT/2g4rrkZAwB5Inep59+unTpUlX7rBSlpaVTp07t 1auXDFt8NQ1CXJzs4TZXE3dAD3Wa7//gwtE6qFVwMoau5ncR3KYdHh4+d+5c zzu+8sor7XS0bdtWc/L06dMrm8a1TFZW1nvvvac9UfLJHR8jnRkzZkBc48eP R/dvypQpdcbJuNGMGzdOBgI+mYoH27dv79evH36CPn36oN9V/QHLtQbujPHx 8Why+HVw01y1apU80RAnp6Wl4bdD2544ceLChQv18wynTp2KjY3FT4kdMQJC P1DK0YARqX3EWA8fd+/erf8oa/IxMMTfFy9evOJswPgbtwDV4fDLIhlkiKwQ gIEqAjwvnkQbw4WzcuVKPzh5//79GPfhVKCHEBMTg66ClC9fvnzChAnoWS10 kp+fb6Y2XPUi5AYNGvjqSrlGuHz5Mn7xV199FU7A2NknAz20PfTA0STgLrRM /Mp1xsnoLcjTTPyNuz8u3uqfLlzRuHYGDRqEn2DAgAG4HOQaJ2ZAA541axYa W3R09Pr16zHcw9/yHEqcDOAHDGoiIyPxd1xcnOxYXl4Oz6AE7R8DOkgSf2OU h01QOv5evXq1RG7YsAEfMX6Xj+np6fh48OBB/I3a8LdMCHg+HBC14oqAjdGK Jk+ejI95eXlev+OmTZuq5mSkAdPCol5XWOEWg3jcnhISEnBTg4TxLaSHho/Y hGyXOzFzseC21bBhQ3EyRpTm0yYXLlzArybTmEOGDEGTrr4NUAPqgYelM7lx 48a61E9GbwpfEBeprLgIDQ3FVeyTke+OHTtkwIL74+zZs6v2LOYaRPy5ePFi rQRd06Kioiu/SBJWFGfiZ0I/EG65dOkSPkI+moSv/KJodBFxUSASTVdmQfE3 Ru4iW1mXCPnDq7IU3+hk1eHQ/rF1zpw5Z8+elSPiF69pJ+vBKdIO7QLua7gl IVVtLi4nJwe7rFmzRj7iEsZ3MX90dC1EyPfee29FRYX5Ha9x8ANhGBUQEAAP DB8+PCsrq/p1wiRok7IgQVZf1L1nfFecl9s333wj0+ZoyZs3b/bJGgmcon/8 4x/4Of73f/8XV4E2eCQe+OGHH9ABwK+QmpoKa+nfWjI+45MerxgbesRe+pki sTRa7JVfOofoXqJO/JGcnIx/t2/fjp8e7VnrMxudrDocuu74e8uWLdrWajp5 wYIFs90hd3OYMDMzE+O4Q4cOoQ+MYH1X3wVZpKEZ+IqzheOuNGPGDPlYKSdj HKHNJGPQZ3IvcvLkSbRkXPswwEcffeSTCR80YNyLx40bp1+lXCedLGD0ivuO zM98+eWXxncYqwA8jPavrR4XPxDPfPvttzILITMDiYmJ4iWjJGVKTc4qhOzy 7AlWx9Z9+/bhb+yFv2EzGehhcIRgmE36n2lpabKLZyfrD4cWgr8LCgq0rdV0 Mr7mGne4XVmBvjq6/ajEbSvNz8+X+46+MCIiAidT/jbvZNzjHn/8cRFyhw4d zOxCwNGjR+Fhea6HwZpP+mMwcGRkpDzX07/NV4edfEX3P13gW8fGxvpkmIZK UKc89Rs1apS20pt4ACLCLRIDFnmCJv+TnmdJSqR+OB8dHY0SeeiGUTz+xo8O lcnEsohRasAVJLuYdzJyw98YXmlba3TuwogspXa7Ugg9eZdeNL7RhAkTwsLC 5KN5J8+aNUuEXK9ePW1eiHgGbWDEiBHyRA8/k0/+fwbcZ6XHaPxfL+q2k684 5yGXL18u7zAuWbLEJ6smLl++HB8fL0/9/vKXv/hkCXRdBedff34wWINeoqKi rniT5IoVK6QnLJvQk0QrRc9Qu7HKo0Mgt0URV5DzpQntVzbvZFx3kpg8OENP Hs2m5px8/PhxmccWcFCMC6BWt88+cMHiysV311bD7t27F0fU3vUw6WSMvu+4 4w5x8pAhQ8xney2D3uw777yDK33w4MGQp09mQTFyRGdbnuht27bNRUp13slX nI815akfWrXXr2mezMzMd999Fz8WTqyv6qx74LeTJ2s4XWiK0Ag+oh1e8SZJ eTiIxpmRkQEzw5b4mJSUpAXLbDACtMtEutaQuRZj3smQIRoPPqL/OXv2bHkN xKuT0dXcvn374sWLEYl88LfJl0aRmCyiwKnYsmVLaGho0C/LUdwi3XiIF/nj KLiig3RvDpp08ttvvy1CbtSoEf/jLJNMnz5dnuih9fqqzrVr16KLOGPGDJmI c6HOOHnNmjX4mqqV87ji0JJxzfrQyQAX4N/+9jevy/WvZdA3k1G5gHOVmpoq vcE9e/a4SFLMIw/drjifCMgSOFElhKzvpcgLxbgXu+y+Y8cOrUSWt0n30uvh EAavwszw2/r166X3q59hNiLr5fRAs2ZOC1QsXhVQD249HgZx+OK4g+AkSDx8 rr9ZoKoFCxZ4PmJOTk69evXEyar3r4mR8PDwf/zjH75dwr169WpcCPr/d0gP nIybbB34/5OJlcFQ5cSJE1X4P/Rg79LSUmjT/2vCtaUdNVQ/DFxWVnb06FHc tkxOqV26dAmnAvF8tZ9coZNJXQedZHSPMUTNzc2VZRj6ZdWEWA06mdRt5KGe xsKFC2uuk0xI9aGTSd3mxx9/LCkpQWMrKCg4ffo05weIxaGTCSHEOtDJhBBi HehkQgixDnQyIYRYBzqZEEKsA51MCCHWgU4mhBDrQCcTQoh1oJMJIcQ60MmE EGId6GRCCLEOdDIhhFgHOpkQQqwDnUwIIdaBTiaEEOtQu04mhBBihE4mhBDr 4H8nE0IIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC CCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBC CCGEEEIIIYQQQgghhBj5f7pcuTI= "], {{0, 1298}, {476, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{238., Automatic}, ImageSizeRaw->{476, 1298}, PlotRange->{{0, 476}, {0, 1298}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.779623925532379*^9, 3.779623984898411*^9, 3.779626244590156*^9, 3.780051245235264*^9, 3.7800525697960663`*^9, 3.780054187788724*^9}, CellLabel->"Out[4]=", CellID->287327801] }, Open ]], Cell[TextData[{ "One way to get a tabular form is to replace ", Cell[BoxData[ RowBox[{ TagBox[ ButtonBox[ StyleBox["Missing", "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/Missing", ContentPadding->False], MouseAppearanceTag["LinkHand"]], "[", "___", "]"}]], "InlineFormula", FontFamily->"Source Sans Pro"], " with a string:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.779623932187071*^9, 3.779623953753064*^9}, { 3.7796239962000713`*^9, 3.779624008744032*^9}, {3.780334176228977*^9, 3.780334189117222*^9}}, CellID->989242327], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", RowBox[{"sarr2", "/.", RowBox[{ RowBox[{"Missing", "[", "x___", "]"}], ":>", RowBox[{"ToString", "[", RowBox[{"Missing", "[", "x", "]"}], "]"}]}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.779623731555811*^9, 3.779623830226904*^9}, { 3.779623957275928*^9, 3.779623972991084*^9}}, CellLabel->"In[5]:=", CellID->516159134], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsvXl0FVW6/p8wRiYxKCKCgHJbkEZZ2g0t01IEQbm0XgREBm0HQBAljUoL DcpkgwIOKBhAGgLxMmkUEFAkjAEiQxryhaA0UQYDBAKBCCIk5P7eX97lXtXn nJyqc7Jr17Cfzx+sUHVysut5n733U3OjZ4Z1H1guJibm5Tj6p/vTf7t/+PCn Rz5Wk/7T86WXBw96acBzD730yoBBA4b/6ZnytHBtbEzMBPrh///5/wAAAAAA AAAAAAAAAEAbvgcAAAAAAAAAAAAAAADNKACqgOBSgIwuBwVioANQCfzmXfSs HYKoI0BwKUBGl4MCMdABqAR+8y561g5B1BEguBQgo8tBgRjoAFQCv3kXPWuH IOoIEFwKkNHloEAMdAAqgd+8i561QxB1BAguBcjoclAgBjoAlcBv3kXP2iGI OgIElwJkdDkoEAMdgErgN++iZ+0QRB0BgksBMrocFIiBDkAl8Jt30bN2CKKO AMGlABldDgrEQAegEvjNu+hZOwRRR4DgUoCMLgcFYqADUAn85l30rB2CqCNA cClARpeDAjHQAagEfvMuetYOQdQRILgUIKPLQYEY6ABUAr95Fz1rhyDqCBBc CpDR5aBADHQAKoHfvIuetUMQdQQILgXI6HJQIAY6AJXAb95Fz9ohiDoCBJcC ZHQ5KBADHYBK4DfvomftEEQdAYJLATK6HBSIgQ5AJfCbd9GzdgiijgDBpQAZ XQ4KxEAHoBL4zbvoWTsEUUeA4FKAjC4HBWKgA1AJ/OZd9KwdgqgjlEXw1NTU WbNmzZ07V26TvAhkdDmmBTp37tycOXOoEJs3b1bWKvVggHUh27dvT0pKmlrC zJkzMzMznW6RNOA37yKrdhkZGbNKOH78eNm/zW4QRB2hLILTxD1w4MBBgwaJ JR9//PGQEvbv3y+pgd5AroyehqZRGnl+/PHH4FUO2sO0QGfOnBlYAkUCZa0q Iz/99BNJ/a9//YtStMVfsWLUd999d1QJkyZNKu2bZ8+ezZ/5+9//furUKV54 +PBhru/7779vfSuso9g/27Ztm29g9+7dtDAlJWVUEAsWLIj6ryQmJg78T776 6quyb2nIbwjTNy2yYsUKoyZHjhwJ/3lM6GWh7PUqC7Jq9+WXX7KxDx48WPZv Y+wbahBEHUFugqLdebbc3r17JTXQGyCICmhDaHNoo4JXOWgPXwbRzz77jNts mgcEVow6cuRIEYo2btwY/AGaUIzBSRzoyM7O5iVvv/12RBtiEcX+IScYN/PT Tz+lhf/85z8HBvHee+9F9yfS0tLEl7zxxhu0gWPHjt20aVPZtzTkN4Tpmxah Rho3fM+ePeE/jwm9LJS9XmXBzUHUvqEGQdQR5CaolStXTiuBfCKpgd4AQVQQ ZvB00B4IokykQfT1118/f/58wAdmz54dMojm5ORwfZcuXRrptlhBsX9EEF1Q Ah8RJfW2bNmSnJzMq0gK+u++ffui+xOUYOlLBg8eHFCUsm9pyG8oe7ChUEFS vPvuuwiiCkAQLQ37hhoEUUdAgpICZBQ4O3iWBoIoE2kQJbZt22Zce/To0eef fz5kEPUZHERfeuml4FWkCW/7V199VZY/MWbMGPqSKVOmlOVLrCOrb+7atQtB VAEIoupBEHUE64Lv3bs3OTn5H//4x+uvv/7OO+98/vnn9G9AgsrMzKTJMSUl haZ14+/m5+evW7fun//851tvvTVx4sQZM2YsWrSIBjFxsOXcuXP0hfS7u3fv PnXq1OrVqz/66CP6Q1OnTqVdHtr9CW7PyZMnly9fPnPmzDfeeGPy5Mm0n759 +/aQLTf960Y1li1b9v7779ME8fbbb9NMZPHUmFwZqW0kBa2iltN/Dx06lJqa SqquWbOGr9mjD9B/Z82aRfqMHz+etovkIjVIk4A/Z/yq//f//t///u//Tpo0 iX6F2vCvf/2LP0Py0u9++OGHtNUseF5envFLTpw48c0335AaH3zwAbWc/yLp Kb6B2bdvn4hGtHWfGcjNzS0IZY+VK1d+VjrBBbWvQMYgevbsWdre2bNnk7VI rvnz5x8+fDhYWIsl+Pbbb2lbaFXwH6UYQ6u2bNli/FpRr++++27JkiWUUkhM Up48bPzdFStWkO3FIbswokWkQ8FvQZS+PCEhgX6YMGGCcS0fDBw6dCj7NiCI fvHFF9QGCirGX7HYAbOzsxcvXkxbSn+RVJ07dy7pY/zyYP8Yxw0rVWNOnz5N xiPDjx49euzYsYmJiTt27GD1qI+Ij0URRK23h6pAHxs8eDB9CTVDlI+lK/uW BnxD+L5JUYF+IE1CykWO4k+SbrxEYhCNaOQ3HRiZnTt3kktpfKDvIbPR50PO IHbMC9QM6s40zFLvoKGSxgfq+GI/kQRkJYMPoVNI41XcVNOxlLEyCRoVpv+S yFQ++i3qquGvQLY4qZl229KCKG0IN4w4duyYWC7q8uabb1L3pK2j1gZMSQWh hhrrg6fpViOIKsaK4FRWqinvnQVjTFA0dPDCn376SSwko/7tb38L+bvU9/kz Iga89tprr7zySsDHRowYEdBIstyrr74a/IXU8cWtE9b/ekFJb6WZneeFAGhM UywjjYe8MCsri7qS8WM8rVDnCvklL7zwAg3Cxj8qvoqG94A/Tf9NT0/ftGkT 5w0jNN6KSafgP69kC4BGHp4UCBoBSvsYD0HB9njxxRdL+5WBagskHEhD+t// /veAP0HtNEaUiErAJ7Kff/754D/KHiYNg+tFvxVsFaMgIaUgKF+VRYeC34Io zaSffvopf6cY7WniowhKSxYuXCjushGTDtWIl9AkIr7NYgekuSxk1yDdRIOD /RNp1QhaEnDI1whNZOKTUQRR6+35+uuvQzZg3rx5UrY04BvC900KV/xzsFwU eocPH06r6F/6mRdKDKIRjfymAyP9SwIGbyM1PqBX2jEv/PDDDxQ+gz9JxuaQ T/sLvITKEfC7lJSMJTAdSwssT4LGXWyyq3HIpcBcltoVWOu2IYMotZDCPy+n hC8mEaoLBdrgL6Q+S0U31oWXG4ca64On6VYjiCrGiuDGTkEmIZ+/9957ND7z kvBBlAzGp58IGj/nzJlDAwXt6XDXfvfdd/ljorOI76SJnj5G0zovMV6rRt1Z jAxkZhoQyHgiTRn9ZvGvG7eRvocmWRo36F+xjZTWVMooOlQwxiBKoxB9A20R bZeYW4cNG2bc/Q/4KlpLu/805gd8Lf112vckMYWwNPyKL+EgSmMLSUfxY/78 +ZRShgwZwp+ksYg/tnnz5kmTJok/NMkA7/AG24OGoLeCEK0yDvV2FyjAgWyY yZMniz9B2278vPUSRBdEGZo1qA3G0CvmU/otMXFT7YTUxigVhQ4FhiAqYicV hVdxFcgkR48etRJELXbAjRs38mfoz9F2Ud0/+OADkRPEcZsw8cxi1aguYhV9 /8yZM6lJxolPVhA1bc+3334rOgtVWZRv1apVUrY04BvC982tW7fyKhqUAraU ehavMl6MZ0cQZcKP/KYDo7iVjGQhf37yySfirAF9s2iJHfMCdZa//vWvvJw6 Jk1D5C6xy0AtKYgkiJqOpdYnwWDnCMoYRC122+Agevr0abF1xhSam5srNKQv /LwEsZdEJROfDB9EmTCDp+lWI4gqxlRwsj1PRtT7aPAUy2nvmK+0Dx9EaS+G l3z88ccBX0t5hvoO/1d0Fvo2GhNOnDjBy6m7ib4s/jr1suDuTF8o7ugUD+Kz +NdpVuVxb/z48eJP83Lu2hQYVMpo7FA0S3799dffffcd7SpSP+IxmSaOAwcO BPwJMQjT2uCvevnll7ds2cK/Tr2YRgzxJ0gcsdX/+te/eKFxXjty5Aj9bsCh ZhpVeEAm2Y3Lw1zXFPKAeQDffPMNf4bClTgvqaBAxuH6ww8/FOc6qXBiaDWe P7JeguiC6PDhw9evXy9OOIoJ0fi8WVuvEaUgWvDbiXjuUyQRHxzj3mQliFrs gHzzC02sxifVkFdpD4jcJeav8PHMStVEm6k94vheQclhUl4uMYhaaQ9Pu8GP oCn7lobsa6X1TSocW5H2Lo39i+BDfORe45fbEUStjPzhB0byCW/gqFGjjEZa s2YN/4roaHbMC6LvU/40nk7KyMigLBRpEGXCjKXWJ0Gjc6i+1BLSk/ShPxT+ VjjT2lnstgFBlNojsiVNQyJbFhhuD0xNTTX+IVF3cYY9fBC1MniG32oEUcWY Cr5s2TIuYvAVRMF32QSPfmJfO/z5U9FZaBwIWCXGfB40cnJy+L8B+aegpMuL oSCiv059kz8W3DFTUlICtigkcmUUHWrFihURPSKSf4ufMxPwVTR4Gj+8e/fu 0pThoYx26k3/IqdZmqSMjSxLEN23bx/v5g8bNsw4uCkokHBgwNxkbLbp9agh SxBdEA2oV15eHh+CNt7YoiCI0tQmDhPx2WSqL1fBShC12AHZciRRQAoKIEw8 s1I1ige85LXXXjNOfwUlu1q8SlYQteiiKIKoxW+OKIgWGPqR8WJm2tXihWJE ZewIoqYjf4HZwEjfwGsDbq8jxHFRtq70eeHkyZOsLfXogPsjCkr6BV/YKSuI RjQJGi/qiOghDKa1s9htjUGU9v6mTZvG/w1IoadOneLtpYEl4BtoE/iKAjGw hA+iVgbP8FuNIKoYU8Fp73tgyV5P8NXCVoIo9VC+x5acQDu8lDQCpgAmzD3L ZDl2Ec/XNNjyJ0NeWj9ixIiBJTuwEf11vu2CPvl1EB999JGVIVeujKJDBd/5 IqCRbfv27XzfEyUHcbZo4H+ecCntqyjm8fIlS5YEfPP06dNZsYDlNEIuXryY tKIdfJpAjRfhGDcq6iBKoysHM/qGgHMoCgoUxoHiDFTABGexBNEF0eDSjxo1 amDJgWKxREEQLSh5NPpAA+Ksn5UgarEDihmfpjaakUPeWlIQNp5ZqZo4DhYc A6QHUYsuiiKIWvzmSIMoac57HFR9cSp87ty5/CUBL3uyI4iajvwFZgMjXzVK 9Qq+20jEvPT09AIb5gXSJ9g/wcgKohFNglE/D8S0dha7rQii3333HZ/+G1hy VD9Ac6oCr6KAGiw4B1Hx1NDwQdTK4Bl+qxFEFWMqOF9LQ6NT8CorQbTgt2Aj oL4/YcKEVatWGU+Nhe8sfE0jtaSg5IWY/Mm0tLTgT/KeL5k2or8e5uYFQcg/ J5Aro2kQ3bFjx7Bhw0prqpUgKvapxRWeAg4YNCuJJbSvajyVH0zZgygNSuKo xRdffBGwVkGBwjiQJi9eZZzorZdAVhClmWXgfx4DURNEs7OzjTsd4oIEizcr WemA+/fvD7i5gJShuZ5mLmPDIopnwVXbsGEDLwl+i6uCIBrSRVKCaMhvjjSI EiJc8alw2s/iE9Pjxo0L+KSaIFrwnyN/gdnAyJco0G5y8CpxnFAkN7nzgoiR 4V8QLCuIRjQJ2hdELXZbEURHjx7NP1ALg5O/6J5hEMWNNIgGD57htxpBVDGm gvPFMGL3yojFIEqWIysG3x/9yiuviIt/wncWvimDXURjBX8y5IXH3Adp/Izo r/OxLIoK75eO8ZY9u2UMP95u375ddH/ShDIPDWI0NYjLO60EUQoPvDw4iM6a NWvgfwZRmon4w7SQ4sfy5ctpysvMzOTDvANlBNEFCxbwKkq8wb+ooEBhHEg+ 4VVioo+oBLKCKN9Toz6IFvx2PD9gocUgaqUDFpQ8cocniwBmzJghskFE8Sy4 auJG9eBH3Bw9epRXpaSkiIVyg2hwewokBdGQ3xxFEBWH9fhuHZEfAi7YK1AY RI0jf4HZwMijxMSJE4NXiY4pLjyQOy9QvuVfp/3TMBsrK4hGNAnaF0QLrHVb YSQB7cIHP1NUfIzSZmlq86W2BZEH0eDBM/xWI4gqxuJ1ILSzGbzKYhBlTp8+ TbulX3zxBdmJb9shaBzmPaMwneX8+fN8gobfoyemgJBPBiutteH/Ogct0xte wiBXxvDjLQdFgoYj40moU6dO8XK5QVScxKfxIeBxheJOluAgKi74N1KaPcS5 xYDHRgkUFCiiiT6iEoj3EAVf1cYn0aZNmyaWRBdES3tgZjDRBVFxUtsYPCwG USZ8BxT88MMP69evpxIY73WlGYrXljGeiSWUSAM+rOCIqHuCaMi+yYwdO3Zg yVhEvZ7PZtIedPBFj2qCaMDIX2A2MHLjqU8FrxL1CgjVsuYF8f1r164N8zER RJctWxawKkwQDa5XRJOgrUGUCd9tRcKkzRGPbKLAHzBq0e4hr/rmm29M/yKC qM8wFZwv6qC9wuArQCIKokZyc3PF0zP48ukwnSXgKJN4z3XwHXBkPyvXJAf/ dXFO6tChQ2F+MQxyZQw/3vJRguHDhwcEG5uCKA2t/MnVq1cHfDJkEOWLrwLu bmBC2uPAgQNcNZrxS7uWXkGBIproIyqBuNAu+JL+MgZRcTeo9XsQogui/IsB Z9wiCqJGgjtgSMTzE4SXyhjP/v3vf/OSgE0r0CaIhumbjNBcnAQJHh8KVAXR 4PML4QdGPm5PA2nAvSrGXwxzv2FZ5gX6AH8y/MMqjx07VtrGhgyipdUroklQ QRA1EtxtjYfWaYgQp1donDHOhpRmrWjIIIj6DFPBxYAWcFcL7c5wtw0fRGkw IR8aL7xhxIMaxCMdQnYWWi4eEUy7rgUlzzt6+eWXB/72MEPjh6mF/Elxz7LF vy6yFu2vBX+Y8gPtwAYvNyJXxvDjLZ/lp9EmYK24cEhuEBUPP6GvMn6MSiwe wGg8ZsKnm8VlXSFFMN7LJh5qGuaVQAoKFNFEH1EJRFwMeNgp/TfgXoyCCMdS MXkZ380UnqiDaDBWgqjFDkhyBaTcgpJgwJ8RR4TKGM+oeXyUj/ra+vXrxScz MzPF6UV/B9EwfZOhPUrjlc8UhIJDXYGSIBo88heYDYy0p8xr+aUAAhof+BQ8 lZKfQSd9XsjPz+dSkrWC35q0c+dO7qHkQL4j7O9//7vxTArVSLynzBhES6tX RJOgfUHUYrcNeHwTNV48volGM/GiKPEMsYGlzAXp6enisXgIoj7DVHDqI+LR 5QsXLty9ezcNd/SDWBg+iNJAPbDkNAGNEvv376eBjnYeaQLly2+o83JHFp2F +hd1JRooDhw4QDO1eCqacawW+1zkW+rjp0+fps5IgUp8gzi9a/Gvk6tFpqKp iv4u7Z39+OOPaWlpn3zyCQ9iYW5gly5j+PFW9OJ3332XmkrjHg2YxufAyw2i 4g5NmqFSUlLovzTx0W8ZL68yHhEVLaHPkCZUx1WrVvFoE2APkp0yGC+hSWd3 EOKRyAoKFNFEH1EJxCknEpDyD8Wer7/+WtyZNbAMQVQcMqIwT3JlZ2dvL6Es OhRIDaIWO+Dw4cPJ//SFNNdQXya30OaI++PEofiyxzPSX8g+evToKVOmBLyb xjSI5uTk0OS7YsUKUWj6r3jGpsuDaJi+KRCnOQaWcsF2gT1B1MrIH35gJC+J vVpSicYH+nIKsbz3MdDwkg475gVhraFDh9LX0heSK6gz8rkwcXGjONT80Ucf UduodmQh41hqDKJh6mV9ErQviFrstiEfaC92/WjkF8cxxG139LXz588nKci9 NGDSV/GAuWDBAv4kgqjPsCK4GNNCYiWIlsaGDRv4Y2He/jCw5Bi+8XoSY4AJ gOKT8UZCi3+9oORkB58nLY0y5pyIZAw/3tLgX9p7Qhm5QZT23EtTW2AMoiHf BxryFZ/iDpHSMD5kwO4CRTTRR1QCElDMPkbEN0QdRKkj8HVxRiS+4jP8x6wH 0dIQHZCfkx+SN998U9bNStxC8cwZIyL2GJ/YEDKIiueWGxEXMbo8iIbpmwJx hpSgWFgQCvverBRAwMhv+jgRimTiUs8AKPAII9k0L4R5tIgIouJYemkYg2iY elmfBG0NoqVthbHbhnzFJw0a4oUFNNSIa8WN+0HBIIj6FYuCr1y50vi+XdqD o71LfsCg8YGT4u4JcTnckSNHyFp8HiHAqOIF1gX/uV9sfAUw/aHZs2cHvNOn oMSHNGWI18AxZLOAMwUW/zpDaYqcHPBMHkoLtFu6du3a8A+WlysjTyL0pwMO Vgg2b94sXoXGUCNp1uBsYzz7X9pXUVflXzQ+ep3h9hgfgUXVDBhjExISqNYL Fy7kLw+4nYE2ylia559/nq+5CrAHTZEDwzJ69Gjj19paIBo2Wb3gZ1yLadd4 l7f1EhSU3PAV8BJqGhizsrI48okYUxC29PwN9IvGhSRswDcHv6UxIh0KfnvU WHA6CoCvbR5oGPYpcvNVbWLKs9gBN23a9Pbbbwdke3IglduoQ/DwEmnVGIor NKNNnjx5ypQp9Ivp6enf//Ymgo0bN4qPhQyi4uytEXHkMNL28MXGwfsOZd/S 4G9gSuubAhKcixhm1rbpiKjpyG86MBaEelk5Dbn0i8bb4uybF8jJAa+wpw2Z N2+e8SrTVatWiRNhA0uOoC5btkwc4Qx4+keYelmcBMM4JzymtbPYbcXFXQFO o10M8ZJi4557ZmYmVTDga6lY1PVElA0eagoiHzzDbDWCqGKsC05+pp01mn/p 89Zf9yOgPaB9+/Zt376d/g2+Yce410ZffvToUXIjuS78H6K1//73v7ds2UKj R/iXO4T/68Ef3rt3L81WNHoE3zEaEmUyCk6fPk0S0VBA2x7yOi7pUJqi3Xna 1y7t+c9GaDOpfBTMaDMtamgdWwtknYhKQCMnjcNbt26ltBDeq1FAlqaWkK9M m+HUAGulA5Jn+HWNBP0Q/qJfuYjnNhif3B7mGlFPE75viqsOwty8bNM1otZH flNo5ygjI4OH2TCDlU3zAgUh6oy7d++mMTPkhtAH6Kto6KDQaLql4etlfRKM FItjhU3dlqpGOtNoSUqalkYiCKKO4BLBoz594BJcIiMoDRSI0VwH2h3IysoK mPp/+uknPks4dOhQ47EUvwbRMNDsz2eihw0bFiZrKXuOKHAQPccKBFFHcIng Xh+OXCIjKA0UiNFcB76lNyEh4f33309OTv70009nz54t3s1qfJp9wW9B9Pnn n08tIfgR3P5j06ZNwadKjXz77bckhXj9BIKoj9FzrEAQdQSXCO714cglMoLS QIEYzXUQz5YJhqJpwDHAgMtBg6+m9h98deWgQYNKe0WCuKsLQdT36DlWIIg6 gksEz8/PpyHu9ddfF0/Y8BYukRGUBgrEaK7D2bNnly5dOnXq1FGjRg0bNiwh IYGi10cffZSenh784dWrV080YHz0qC/Jycl5vYQw7yOYM2eOURPTo8SmfvP6 yO9j9BwrEEQdAYJLATK6HBSIgQ5AJfCbd9GzdgiijgDBpQAZXQ4KxEAHoBL4 zbvoWTsEUUeA4FKAjC4HBWKgA1AJ/OZd9KwdgqgjQHApQEaXgwIx0AGoBH7z LnrWDkHUESC4FCCjy0GBGOgAVAK/eRc9a4cg6ggQXAqQ0eWgQAx0ACqB37yL nrVDEHUECC4FyOhyUCAGOgCVwG/eRc/aIYg6AgSXAmR0OSgQAx2ASuA376Jn 7b4HAAAAAAAAAAAAAAAALXH66KxGsOD/B8oGZHQ5KBADHYBK4DfvomftEEQd QU+zSQcyuhwUiIEOQCXwm3fRs3YIoo6gp9mkAxldDgrEQAegEvjNu+hZOwRR R9DTbNKBjC4HBWKgA1AJ/OZd9Kwdgqgj6Gk26UBGl4MCMdABqAR+8y561g5B 1BH0NJt0IKPLQYEY6ABUAr95Fz1rhyDqCHqaTTqQ0eWgQAx0ACqB37yLnrVD EHUEPc0mHcjoclAgBjoAlcBv3kXP2iGIOoKeZpMOZHQ5KBADHYBK4Dfvomft EEQdQU+zSQcyuhwUiIEOQCXwm3fRs3YIoo6gp9mkAxldDgrEQAegEvjNu+hZ OwRRR9DTbNKBjC4HBWKgA1AJ/OZd9Kwdgqgj6Gk26UBGl4MCMdABqAR+8y56 1g5B1BH0NJt0IKPLQYEY6ABUAr95Fz1rhyDqCHab7eeff7bvy92Dnn3WQ6BA TBQ6aNKFgR2g33mXSGt39erVnJycS5cu2dckBSCIOkKkZisuLu7UqVPLli13 7NgR5mOpqak9e/Zs2LBhTExMfHx8586dp0+fXmaPuBcrMmZnZ3cKy8yZM9W0 VkNMC5SWlha+OkT//v2VNdgmrPd33bowsAP0O+9icay4cuXKjBkzmjVrVqlS JRorYmNj69at++yzzx4+fFhBI6VTliB6/PhxO0KaDkQaRJcuXRpTwldffVXa Z5KSkipWrBgTxHPPPVdUVCTDLK7Dioy7d+8O1sTICy+8oKa1GmJaIGHsMNSv X19Zg23CYn/XsAsDO0C/8y5WxgqKEC1atBCVqlChgviZcum6devUNFUiUQTR lStXPvroo7fccgtt9XXXXffAAw+8/fbbdqY2H2JxYlqyZMnkyZO7detWvnx5 tllpQXTnzp38gdq1a0+ZMmXz5s1z585t1aoVL5w4caJs47iCiILofffdNzAU ixcvVtNaDTEtUEZGRsiiMHXq1PHHhGjFqHp2YWAH6HfexcpY0aNHD3EUhQaK wsLCvXv3TpgwoUqVKjElZ1JOnz6tprWyiDSIJiYmGuO34Mknn8zPz7c7v/kG i0GU076R0oLooEGDeG8oLS1NLDx79mzjxo1peaNGjYqLi6WZxjVEFEQRONVT lmvVcnNzq1WrRoWjHTG5rVKPFR307MLADtDvvItp7S5evMgZrFevXgGrKJ7x ZJeSkmJnG+UTURDduHEjb+b1119P8ZtC0YcffviHP/yBF44ZM0ZBhPMHFgeK qVOnjirhiSeeCBNEyZk1atSgtY888kjAqhkzZvAvpqamynGMm0AQdTllmRCH DBlCVStXrhzt7MttlXqsTC56dmFgB+h33sW0duLUCQWDgFVisnvrrbfsbKN8 IgqiTz/9NG1jxYoV165dKxYeOXLk1ltvpeUNGjQ4f/68nfHNP0Q6UIhdgJBB ND09nddOmzYtYFVWVhavGjt2bJmM4koQRF1O1BMi/Rbv9fft21d6q9RjqoO2 XRjYAfqddzGt3YULF+Li4qhGTZs2/eWXX4yrkpOTeawIf1OzC7EeRE+ePFm9 enXaxocffjhgFQ2evPkrV660Lbv5CrlBdPny5bw25FXKfFfd4MGDo3eJW4ko iCYmJh49evSnn34qLCxU0zwQ9YTYvXt33uf94YcfpLdKPaY6aNuFgR2g33kX K7WjDMbDRfPmzTMzM3khhdK2bdvSwnr16nnuMh7rQTQ1NZW3/c033wxYJY4V jxw50rbs5ivkBtHZs2eH2Q+Kj4+nVTTCRO8StxJREBXExsbeeOONL7744sGD B9W0U1uimxC3bdvGlRo6dKgdrVKPqQ7admFgB+h33sVK7Y4dO9ayZUsxo3Xq 1CkpKalDhw58YtqL11RYD6KLFi3irV6xYkXwWn7qyLPPPmtLbvMdcoPohAkT eG1WVlbwWr7jqXXr1tG7xK1EF0QFcXFxxhtDgHSimxDbtGlD1alaterJkyft aJV6THXQtgsDO0C/8y4Wa0cp4qabbgqY0apUqXLkyBEFjZSO9SA6ffp03tgN GzYEr73uuutiSu6zsyW3+Q65QXTMmDG8NuQhvkaNGvl1FrMiY25u7uTJk1eu XLlz5076cHp6+vz58++9915WrFatWjk5OWpaqyFRTIiff/45l2b06NE2tUo9 pjpo24WBHaDfeRcrtaM5i6ew22+//b333mvXrp3Iok2bNt21a5eapkrEehAl f/KW0oQevLZevXq0qlWrVvYEN78hN4h+8MEHvHbPnj3Ba2+44QZa1bVr1+hd 4laivhSK6N+/P4uWnJwst1VAEGmBCgsLmzRpwjsI58+ft69hijHVQdsuDOwA /c67mNaO8kPdunWpWHfeeeepU6fEb/Xr1y82Njam5Pn2mzZtUtJYaVgPoiNG jOChMiMjI3htgwYNEEStIzeIitdkbN26NXjtNddcQ6ueeeaZ6F3iVsoSRL/7 7jsWLSEhQW6rgCDSAonn4AXfPO5pTHXQtgsDO0C/8y6mtRP3hiclJQWsEpea d+zY0c42ysd6EJ0yZYoYKoPX0p4UrercubM9wc1vyA2itPvDaxcuXBiw6sSJ E7xq5MiRZTKKKylLEL106RIr06dPH7mtAoKICnThwgXxSpdff/3V1oYpxlQH bbswsAP0O+9iWjuasHhAyM3NDVhVWFjIjyOmgtrZRvlYD6IUv3nzjQ8RFfCD rfr3729PcPMbcoMoTVXlypWLKXkndcCqxYsXl7b35APKEkT37NnDyuDxjPYR UYHGjRvHFZk7d66trVKPqQ7admFgB+h33sW0dn379uV6hXyPJ19i0aBBA7va Zw/Wg+iaNWt482fPnh2w6t///jevGj58uF3RzV/IDaJEly5dYkreUm3cSyou Lu7cuTMtr169Ou32ltUr7sOKjCkpKZcuXQpezk/Miyl5+K09rQMRTIgnT57k Fws2bdq0qKjI7oYpxooOenZhYAfod97FtHbvvPMOz1z0Q8Cq48ePV65cOcaD j3qzHkQpbfKlsE8++WTAqnnz5rEyiYmJtmU3X2FxoKCp51wJFJZY4WXLlvGS gFmJlvMH2rdvn5mZSfMXeTIhIYEXDhgwwDYHOYkVGWkGp8md9vo3bdp05syZ y5cvZ2RkdO3alZX505/+dPXqVTWt1RDrE+LgwYO5Ip57S7IVrOigZxcGdoB+ 511Ma3fo0CHed4iLizNeyXP48GF+ABfltFWrVtnfUplYD6JEx44dY0peNJ+d nS0Wnj9//oEHHqDlJM6JEyfsjG/+weJAwbeAhYR2YI2fLCws7N27t1hbtWpV 4yePHj1qm4OcxGIQNerGO1MMOXn//v1qmqonFn3+/W8vFmzVqpWCVqnHig56 dmFgB+h33sVK7cSrPInGjRt369aNIigfCyXGjBmjpqkSiSiILliwgLe0devW 27dvpwh68ODBIUOG8MKnnnpKQYTzBxYHioYNG5YWRO+4446ADxcXF48YMcKY uypWrPjQQw+dPXvWHu84jxUZJ02a1KJFiwD1aPglu+bl5alpp7ZY9Hm/fv24 LuvXr1fQKvVY1EHDLgzsAP3Ou1isXVpaGu0+BMxrTZo0+fLLLxU0UjoRBVEa Dx977DGx1VWqVBE//+53v8vKylIQ4fyB9VMnkUJz2YEDB5YuXZqenh7y2kg/ YV3G06dP7969e8WKFZ9++um+ffsuX75sd9vA/5XtbjI/EZEOWnVhYAfod94l otodO3aMdiLmzZu3evXq7Oxs715mFlEQLSg5ET9s2DC+REEcXOrUqdORI0fs Dm9+AgOFFCCjy0GBGOgAVAK/eRc9axdpEGUoju7atSspKSk1NfXUqVP2BTa/ oqfZpAMZXQ4KxEAHoBL4zbvoWbvogigoI3qaTTqQ0eWgQAx0ACqB37yLnrVD EHUEPc0mHcjoclAgBjoAlcBv3kXP2iGIOoKeZpMOZHQ5KBADHYBK4Dfvomft EEQdQU+zSQcyuhwUiIEOQCXwm3fRs3YIoo6gp9mkAxldDgrEQAegEvjNu+hZ OwRRR9DTbNKBjC4HBWKgA1AJ/OZd9Kwdgqgj6Gk26UBGl4MCMdABqAR+8y56 1g5B1BH0NJt0IKPLQYEY6ABUAr95Fz1rhyDqCHqaTTqQ0eWgQAx0ACqB37yL nrVDEHUEPc0mHcjoclAgBjoAlcBv3kXP2iGIOoKeZpMOZHQ5KBADHYBK4Dfv omftEEQdQU+zSQcyuhwUiIEOQCXwm3fRs3YIoo6gp9mkAxldDgrEQAegEvjN u+hZu+8BAAAAAAAAAAAAAABAS5w+X60RLLjTh8M9D2R0OSgQAx2ASuA376Jn 7RBEHUFPs0kHMrocFIiBDkAl8Jt30bN2CKKOoKfZpAMZXQ4KxEAHoBL4zbvo WTsEUUfQ02zSgYwuBwVioANQCfzmXfSsHYKoI+hpNulARpeDAjHQAagEfvMu etYOQdQR9DSbdCCjy0GBGOgAVAK/eRc9a4cg6gh6mk06kNHloEAMdAAqgd+8 i561QxB1BD3NJh3I6HJQIAY6AJXAb95Fz9ohiDqCnmaTDmR0OSgQAx2ASuA3 76Jn7RBEHUFPs0kHMrocFIiBDkAl8Jt30bN2CKKOoKfZpAMZXQ4KxEAHoBL4 zbvoWTsEUUfQ02zSgYwuBwVioANQCfzmXfSsHYKoI+hpNulARpeDAjHQAagE fvMuetYOQdQR9DSbdCCjy0GBGOgAVAK/eRc9a4cg6giRmu3q1as5OTmXLl2y zwleRM8+6yFQICYKHX7++WebGgN8D/qdd9GzdgiijmDRbFeuXJkxY0azZs0q VaoUExMTGxtbt27dZ5999vDhwwq84X6i67PHjx//7//+706dOr311lt2tAoI UCDGug6pqak9e/Zs2LAh9ff4+PjOnTtPnz7d7uYBn2Hqt7S0tE5m9O/fX1mD gUDP2iGIOoKViYk+1qJFi5jfqFChgviZcum6devUOMTNRJFzLly4cM8997CM ffr0salhgEGBGIs6JCUlVaxYMSaI5557rqioSEE7gT8w9dvSpUuDbRZA/fr1 lTUYCPSsXdRB9Pz58/fffz9NGRs2bLAnrPkZKxNTjx492FQvvPDC5s2bCwsL 9+7dO2HChCpVqvDRktOnT6sxiWuJ4gqHRx55RPRW3+Qc14ICMVZ02LlzJ291 7dq1p0yZQl1+7ty5rVq14oUTJ05U01TgA0z9lpGRMbB06tSp48Uw4w/0rF3U QZR23nmETElJsSmt+RhTs128eJEPgfbq1StgVWJiolDeTmt4gEhzzl//+tcY w7Fl3+Qc14ICMVZ0GDRoUEzJyY60tDSx8OzZs40bN6bljRo1Ki4utrmZwCdE d0kMk5ubW61aNbJct27d5LYKWEHP2kUaROfPnz9u3LiHHnqoXLlyCKJRY2o2 cXhk1KhRAat2797Nq3xzBV3URNRnZ8yYwbrNmjXrlltu8VPOcS0oEGNlx7NG jRq0yY888kjAKiFLamqqnW0E/qEsYWbIkCFkNprf9+7dK7dVwAp61i7SIFqv Xr2AqxEQRKPA1GwXLlyIi4sjeZs2bfrLL78YVyUnJ7PyO3bssNkdbsd6n121 alX58uVJtFdffZX+67Oc41pQIMZUh/T0dO7U06ZNC1iVlZXFq8aOHWtnG4F/ iDrM0G/x+Yi+fftKbxWwgp61izSITpw48eUSxBWMCKJRYMVsDz/8MCvcvHnz zMxMXkihtG3btrSQ9ghwqs5in92zZ0/16tVJtMcee4xF81nOcS0oEGOqw/Ll y7mzh7wJkR+aMXjwYNsaCHxF1GGme/fu5LSKFSv+8MMP0lsFrKBn7SINooLV q1cjiEaNFbMdO3asZcuW4shzp06dkpKSOnToQD83aNDAc8fe7cCKjDk5OXwY n8QUx5Z9lnNcCwrEmOowe/bsMKc54uPjaRVNNLY1EPiK6MLMtm3b2IRDhw61 o1XACnrWDkHUESyajT550003BVwLUaVKlSNHjijwhvuxcoXD3XffzdH95MmT YrnPco5rQYEYUx0mTJjAvTsrKyt4LavRunVr2xoIfEV0YaZNmzZks6pVqxp7 IlCMnrVDEHUEi0eK7r33XlL49ttvf++999q1ayeyaNOmTXft2qXGIW4mvIxX r17t1q0byXXttdfu27fPuMpnOce1oECMaX8fM2YMd+2DBw8Gr23UqBGCKLBO FGHm888/ZweOHj3aplYBK+hZOwRRRzA1G32mbt26JO+dd9556tQpUax+/frF xsbGlDziZtOmTUo84l7Cy5iWlsYWXbZsWf5/wtp2796d/0uJSGWz9QEFYkz7 +wcffMBS7NmzJ3jtDTfcQKu6du1qWwOBr4g0zBQWFjZp0oQ8VqtWrfPnz9vX MGCKnrVDEHUEU7NNmzaN5U1KSgpYJS4n69ixo53W8ADhZdyyZUuMNYxPbgQS QYEY0/4u3paydevW4LXXXHMNrXrmmWdsayDwFZGGGfFs6uCHNgDF6Fk7BFFH MDVbnz59WN7c3NyAVbQHxI8crFOnjp3W8ACycg59UmWz9QEFYkz7+6ZNm3hL Fy5cGLDqxIkTvGrkyJF2thH4h4jCzIULF8TreH799VdbGwZM0bN2CKKOYGq2 vn37srwh3+PJh+IbNGhgly08QngZi4qKTpYC3wL26KOP8n/xIm+bQIEY0/5O aZNfEfLcc88FrFq8eDEPBcEnRwAISURhZty4cWywuXPn2toqYAU9a4cg6gim ZnvnnXdYXvohYNXx48crV64cg8e5lOGRaz67F8a1oECMFR26dOkSU/KieeNJ kOLi4s6dO9Py6tWrX7hwweZmAp9gvd/RXh6/FLJp06Ze393zB3rWDkHUEUzN dujQIfZYXFyc8Wzd4cOH+UENsbGxq1atst8grgY5x+WgQIwVHZYtW8Yjavv2 7TMzMymC0i5nQkICLxwwYICapgIfYL3fDR48WMzjdrcKWEHP2iGIOoIVs4lX eRKNGzfu1q0bRVA+FkqMGTNGjUPcDHKOy0GBGCs6FBYW9u7dW3T5qlWrip+b Nm169OhRNU0FPsBiv/v+t5dCtmrVSkGrgBX0rF2kQfTEiRPHSliyZAkPkgsW LOAltMru/OYbLJotLS2NbBZw40aTJk2+/PJLBd5wP1HnnIYNG5KS/fr1k94k YAQFYizqUFxcPGLECH7bKVOxYsWHHnro7NmzChoJfINFv1H/YputX79eQauA FfSsXaRBtH79+jGl8Lvf/c7u/OYbIpqgKeST2ebNm7d69ers7GyvP1NRIlHn HKAGFIiJSAeKowcOHFi6dGl6evqlS5dsbRjwJeh33kXP2kUaRPmUWUhuv/12 u/Obb9DTbNKBjC4HBWKgA1AJ/OZd9KxdpEEUSEFPs0kHMrocFIiBDkAl8Jt3 0bN2CKKOoKfZpAMZXQ4KxEAHoBL4zbvoWTsEUUfQ02zSgYwuBwVioANQCfzm XfSsHYKoI+hpNulARpeDAjHQAagEfvMuetYOQdQR9DSbdCCjy0GBGOgAVAK/ eRc9a4cg6gh6mk06kNHloEAMdAAqgd+8i561QxB1BD3NJh3I6HJQIAY6AJXA b95Fz9ohiDqCnmaTDmR0OSgQAx2ASuA376Jn7RBEHUFPs0kHMrocFIiBDkAl 8Jt30bN2CKKOoKfZpAMZXQ4KxEAHoBL4zbvoWTsEUUfQ02zSgYwuBwVioANQ CfzmXfSsHYKoI+hpNulARpeDAjHQAagEfvMuetYOQdQR9DSbdCCjy0GBGOgA VAK/eRc9a4cg6gh6mk06kNHloEAMdAAqgd+8i561+x4AAAAAAAAAAAAAAAC0 xOnz1RrBgjt9ONzzQEaXgwIx0AGoBH7zLnrWDkHUEfQ0m3Qgo8tBgRjoAFQC v3kXPWuHIOoIeppNOpDR5aBADHQAKoHfvIuetUMQdQQ9zSYdyOhyUCAGOgCV wG/eRc/aIYg6gp5mkw5kdDkoEAMdgErgN++iZ+0QRB1BT7NJBzK6HBSIgQ5A JfCbd9GzdgiijqCn2aQDGV0OCsRAB6AS+M276Fk7BFFH0NNs0oGMLgcFYqAD UAn85l30rB2CqCPoaTbpQEaXgwIx0AGoBH7zLnrWDkHUEfQ0m3Qgo8tBgRjo AFQCv3kXPWuHIOoIeppNOpDR5aBADHQAKoHfvIuetUMQdQQ9zSYdyOhyUCAG OgCVwG/eRc/aIYg6gp5mkw5kdDkoEAMdgErgN++iZ+0QRB1BT7NJBzK6HBSI gQ5AJfCbd9GzdgiijqCn2aQTqYzFxcUkvn3tAQFEWqCioqK8vDwqk31NcoQo +vvPP/9sU2OA74nUb1evXs3Jybl06ZJ9TQIWsTsbuHNgQRB1BCtmy87O7hSW mTNnqjGJa7HYZynYJCYmtmnTpkaNGjExMbVr1+7QocOaNWsUtFBzrBTozJkz H3/88cMPP9yoUaMKFSpQgSpWrNiwYcNXX331yJEjatppN9Ynl9TU1J49e9Lm kw7x8fGdO3eePn263c0DPsOi365cuTJjxoxmzZpVqlSJ/BYbG1u3bt1nn332 8OHDChoJQhLF0RUKAy1bttyxY0eYj7l8YIk6iObl5R09etSmnOZ7rJht9+7d MWF54YUX1JjEtViR8fTp0+3btw8p4FNPPaWkmfpipUDdu3cvzeG1atXav3+/ mqbaisXJJSkpiUJ4sA7PPfdcUVGRgnYCf2DFbzQNtWjRQniM9wEZyqXr1q1T 01QQQKRBdOnSpVy1r776qrTPuH9giSiIZmVlvfnmm23btqX9Jtp7og2pUaPG 3Xff/dFHH507d87++OYfIgqi991338BQLF68WI1JXIsVGR977DGWsVu3bmvW rNm7d++CBQsaNGjACxcuXKimqXpiPYjSrvorr7wyb948mgHp33vvvZcL1KxZ MzVNtRUrOuzcuZM3uXbt2lOmTNm8efPcuXNbtWrFCydOnKimqcAHWPFbjx49 xAENMlthYSGNjRMmTKhSpUpMyUEz2oVX01pgxGIQXbJkyeTJk2lSK1++fPgg 6omBJaIgSpNCaccuWrdufebMGQURzh9EFEQROEvDVMYVK1awhv369TMuz8vL u/7662n5jTfemJ+fb3Mz9cWKzydNmkS7BjQPGhdeuXJFDJW5ubl2tlEFVnQY NGgQH4xKS0sTC8+ePdu4cWNa3qhRI/9dOgtswtRvFy9e5EOgvXr1CliVmJjI /S4lJcXONoLQWAyit9xyS0AGKy2IemJgiSKI3nHHHSNGjPjnP/85a9asRx99 tFq1aqzD8OHD7U9wPgFBVAqmMpInWcPgqw3Jvbxqzpw5drZRayI9zWRk1KhR XKCMjAy5rVKPlWDAFzA/8sgjAatmzJjBOqSmptrZRuAfTP0mjpJRLwtYJead t956y842gtBYHDOnTp06qoQnnngiTBD1ysASURAdOnQohaLz588bF+7Zs4ez aMOGDW0Lbn4DQVQKpjJ27NiRBKxZs2bwqqNHj7K8Tz/9tG0N1J2yBNEuXbpQ dSpXruyDm3lNdUhPT2c3Tps2LWBVVlYWrxo7dqydbQT+wdRvFy5ciIuLI1M1 bdr0l19+Ma5KTk5mv4W/+QXYRKRj5saNG8MEUa8MLBEF0dLo2rUrb9FPP/0k Ma35mIiCaGJiIqUm0jbg9CUwlZFvU6IdpeCzD1evXuXrtx988EE726g1UQRR qgs5/6WXXmLzT5gwwaa2qcRUh+XLl/P2hrxJhG9qHjx4sG0NBL7CSr97+OGH 2XLNmzfPzMzkhRRK27ZtSwvr1avnhjO2GiI3iHplYJESRB999FHe2NzcXIlp zcdEFEQFsbGxN95444svvnjw4EE19nA5pjIOGzaMpdu3b1/wWhpsaVXLli1t a6DuRDSoHj9+vGPHjvHx8VyyuLg4SqH+mA1NdZg9e3aYw1CsSffu3W1rIPAV VvrdsWPHaOgTk0unTp2SkpI6dOhAPzdo0GDv3r1qmgoCkBtEvTKwlD2I5ufn 84R+0003yU1rPia6ICqgOdp44bG2mMooTjPRXn/ATUm7du3i+5XatWtnczP1 JaJBlT5pNHmvXr18Mxua6kCRm7c6KysreC3fmNC6dWvbGgh8hcV+RzMRzdoB k0uVKlV88/xeLyI3iHplYCl7EJ05cyZv6dChQ6WGNT9jxWy5ubmTJ09euXLl zp076cPp6enz588Xj7WpVatWTk6OGpO4FlMZCwsLaU+fFbv22muffPLJESNG /OUvf7nrrrvEwNu7d29lDdaNiAbVs2fPvv7668OHD3/sscf4GTLly5dPTEy0 tYVqMNVhzJgx7MaQJzsaNWrkkvkCeAIr/Y6mD55Nbr/99vfee4/2x8WQ2LRp U9pPV9NUEIDcIOqVgaWMQZTsyncq0b8HDhyQHtj8SqRmM9K/f3+2VnJyslwz eA4rMp47d46vegqAD+MTr732mprWakjUPs/Ly+NndFSqVMkHF6KY6vDBBx+w G/fs2RO89oYbbqBVXbt2ta2BwFeY+o3moLp165Kp7rzzzlOnTonf6tevHz8h vEKFCps2bVLSWPAfyA2iXhlYyhJE6Vc4URPz5s2zIa/5lrIE0e+++441T0hI kGsGz2FdxvXr17/88suPP/54jx49RowYsXTp0oyMDJbRH8fc3ElZfC6eATt7 9my5rVKPqQ7i9Shbt24NXnvNNdfQqmeeeca2BgJfYeq3adOmsd+SkpICVomr Cjt27GhnG0Fo5AZRrwwsUQfRQ4cO/dd//Rdv49ixY20KbH6lLBP0pUuXWPY+ ffrINYPnKIuM06dPZxl37twpt1VAUJYCff/bJaM+2OEy1WHTpk28scGv+jpx 4gSvGjlypJ1tBP7B1G80d7Cpgt8WUVhYyE+erFOnjp1tBKGRG0S9MrBEF0T3 798vUuioUaPsC2x+pSwT9J49e0T+l2sGzxG1jPn5+TTMkoYPPPCA9FYBQVl8 /s0337DP3377bbmtUo+pDjQplCtXLqbk7c8BqxYvXlzawSsAQmLqt759+7Kp Qr7Hs0mTJjEl987b1T5QOnKDqFcGliiC6I4dO/jyEp4jbA1sfsWK2VJSUkI+ ypvfzU2sXLnSHlN4huhyzsWLF8V7ljdv3mxHwwBjWqC8vDwaD4MfkFtcXPzg gw9yjUI+Ac9bWDEqP8C/du3axoNUpEPnzp1pefXq1S9cuGBzM4FPMPXbO++8 w52LfghYdfz48cqVK8e446k+GiI3iP6fRwaWSIPoqlWratasGVNyMfOcOXPs Dmx+xYrZyCFknnHjxm3atOnMmTOXL1/OyMgQ7w7405/+dPXqVTUmcS1WZKTY mZycTH2wqKjo4MGDixYtuu2221jD4PcsA7mYFmjv3r187GXq1Klbt27Nz8// 5Zdf0tLSxLMO7r777itXrihrsE1YMeqyZct4k9u3b5+ZmUkzBUWChIQEXjhg wAA1TQU+wNRvhw4d4ruM4+LijCdtDx8+3KZNm5iSZ1bTXG9/S0EgFoMopcdz JaxcuZKHCBpAeElAsPTEwBJREP3oo4/4ZTTXXnstbb6CwOZXLAbRGAN8MyNz /fXX79+/X41D3IwVGcWrPI2UK1du/Pjx/nhYupuxGERL47rrrjtw4ICy1tqH FaMWFhb27t1bbHvVqlXFz02bNiUbq2kq8AFW/CaesUw0bty4W7duFEH5WCgx ZswYNU0FAVgMorTzXtqwScOF8ZOeGFisB9H169eL9v/jH//4LBRr165VE+S8 jhWzTZo0qUWLFgEeq1ChwlNPPZWXl6fGHi4niiBau3btLl26kFHVtFBzTAtE fWHChAnBPqc9BdpVD3kBmxexOLnQntGIESOMe6C04//QQw+dPXtWQSOBb7Do t7S0tFatWgV0vSZNmnz55ZcKGglCYrF2DRs2LC2I3nHHHQEfdv/AYj2Irlq1 qrQNF/zud79TkuM8j/XrQGgu3r1794oVKz799NN9+/ZdvnzZbkt4CCsyXr16 ddeuXV988cXq1avxCgDFWPf5uXPn9uzZQz6n/dnMzMyQV0d7l4iu+6JZ48CB A0uXLk1PT/eZDkANEfnt2LFj69evnzdvHo2Q2dnZuOLLWSKqXUS4eWCxHkTX rFljGkRpZ0pNkPM69plNKyCjy0GBGOgAVAK/eRc9a2c9iAKJ6Gk26UBGl4MC MdABqAR+8y561g5B1BH0NJt0IKPLQYEY6ABUAr95Fz1rhyDqCHqaTTqQ0eWg QAx0ACqB37yLnrVDEHUEPc0mHcjoclAgBjoAlcBv3kXP2iGIOoKeZpMOZHQ5 KBADHYBK4DfvomftEEQdQU+zSQcyuhwUiIEOQCXwm3fRs3YIoo6gp9mkAxld DgrEQAegEvjNu+hZOwRRR9DTbNKBjC4HBWKgA1AJ/OZd9Kwdgqgj6Gk26UBG l4MCMdABqAR+8y561g5B1BH0NJt0IKPLQYEY6ABUAr95Fz1rhyDqCHqaTTqQ 0eWgQAx0ACqB37yLnrVDEHUEPc0mHcjoclAgBjoAlcBv3kXP2iGIOoKeZpMO ZHQ5KBADHYBK4DfvomftEEQdQU+zSQcyuhwUiIEOQCXwm3fRs3bfAwAAAAAA AAAAAAAAgJY4fb5aI1hwpw+Hex7I6HJQIAY6AJXAb95Fz9ohiDqCnmaTDmR0 OSgQAx2ASuA376Jn7RBEHUFPs0kHMrocFIiBDkAl8Jt30bN2CKKOoKfZpAMZ XQ4KxEAHoBL4zbvoWTsEUUfQ02zSgYwuBwVioANQCfzmXfSsHYKoI+hpNulA RpeDAjHQAagEfvMuetYOQdQR9DSbdCCjy0GBGOgAVAK/eRc9a4cg6gh6mk06 kNHloEAMdAAqgd+8i561QxB1BD3NJh3I6HJQIAY6AJXAb95Fz9ohiDqCnmaT DmR0OSgQAx2ASuA376Jn7RBEHUFPs0kHMrocFIiBDkAl8Jt30bN2CKKOoKfZ pAMZXQ4KxEAHoBL4zbvoWTsEUUfQ02zSgYwuBwVioANQCfzmXfSsHYKoI+hp NulARpeDAjHQAagEfvMuetYOQdQRojZbcXHxxYsXpdvAo+jZZz1EpAW6fPly fn6+fe1xChgVqCRSvxUVFeXl5dHkYl+TgEUirR1VjRKFfe1RA4KoI0RkNhol Pvnkk2HDhrVr16569eoxMTFxcXHLli2z1RiewFTGtLS0Tmb0799fWYN1w4rP jx49Om3atPvuu69evXrlypUje1977bV//OMf58+ff/XqVTXttJsoJhdyZsuW LXfs2GFfq4BfseK3M2fOfPzxxw8//HCjRo0qVKhA/a5ixYoNGzZ89dVXjxw5 oqadIBiLYwUNEYmJiW3atKlRowbVrnbt2h06dFizZo2CFtpB1EE0Pz//xx9/ PH/+vE1Rzd9Yn5hyc3Pvv//+mCBmz55ttzfcj6mMS5cuDZYugPr16ytrsG5Y 8fmdd95ZWmnat29/5coVNU21lUiDqPDtV199ZV+rgF+x4rfu3buX1u9q1aq1 f/9+NU0FAVip3enTp2lsDFm7p556SkkzJRNRED18+PCHH3744IMPNmjQoHz5 8rTVtCd1yy23DBs2jHyrIL/5BosT065du26++WY2WOvWrcePH//ZZ58tWbIk ISEBM9T/WeizGRkZA0unTp06CKK2Yj2INm/efMyYMYsWLVqwYEHPnj35yD8x cuRINU21FYv9nbr25MmTu3XrxqMrgiiIDutBtGHDhq+88sq8efPWrVtH/957 771svGbNmqlpKgjASu0ee+wxLhONFWvWrNm7dy8Nm5TKeOHChQvVNFUiEQVR 2urS9qHi4+N37NihIML5AytmKy4uvuuuu0jbypUrU/7HBTzBlOXSu9zc3GrV qnFfltsqILBSoOHDh69YsSLA3ocOHeIseuutt9rZQEVYNCrt1AeMqwiiIAqs +G3SpEmUXgoLC40Lr1y50qpVK/YejZB2thGExrR2NFpygfr162dcnpeXd/31 19PyG2+80XNX2kcRRGm0fOmll2bOnEmC0L8tW7ZkWZo0aaIgwvkDKwNFSkoK C/vmm2+qMYPnKEsQHTJkCGlbrlw52p2U2yogKEuBHn30Ufb/+fPn5bZKPRZ1 mDp16qgSnnjiCQRREDVl6XdkP/ZeRkaG3FYBK5jWjvbcuUDBl/LOmjWLV82Z M8fONsonoiA6duxY2tKzZ88aF545c+YPf/gDb352drZt2c1XmJqtuLi4RYsW HO8DdlqBIOrxln6Lr8/v27ev9FYBQVkmxJ49e1KBYmNjf/nlF7mtUk+kOmzc uBFBFERNWfpdly5d+DTcpUuX5LYKWMG0dh07dqQC1axZM3jV0aNHedx4+umn bWugLUQUREvj5Zdf5s3fsmWLxLTmY0zNlpOTw5KOGDGCBoSdO3cuWrSI9gJW rlxJZlNmD5cT9XjL10dVrFjxhx9+kN4qIIi6QEVFRXye+uabb5beKvUgiAKV RNHvrl69unv37pdeeomNN2HCBJvaBsJjWju+TalatWrBV+tREWlSo7UPPvig nW2Uj5QgyhG9UqVKp06dkpjWfIyp2bZt28YDQsuWLW+44QbjZWMVKlTo169f Xl6eMpO4luhyjtB26NChdrQKCKIOovPmzeMaDR8+XHqr1IMgClQSkd+OHz9O M3h8fDxbLi4ujlIobklwCtPaDRs2jCu1b9++4LX16tXj2GBbA22hLEH03Llz mzdvfv7551mW0aNH25HZfImp2RYtWmQMn9dee+3vf//7W2+9VSxp167dr7/+ qswn7iS6nNOmTRsSsGrVqidPnrSjVUAQXYEOHDjAdyrRv8eOHbOjYYpBEAUq ichv9EnjXNOrVy9cNu8gprVLTk7mSjVv3jzgpqRdu3bx/UoUD2xupmSiC6IH Dx687777rrvuOhakcuXKlELxTFHrmJpt8uTJrO2TTz65Z88esTwrK+vuu+8W Z+3tN4iriSLnfP7552K/yaZWAUEUBcrJybntttu4RosXL7apYYpBEAUqichv Z8+eff3114cPH/7YY49VqVKFXFe+fPnExERbWwhKw7R2hYWFnTp1EkeoKCFQ EvjLX/7Cz9hhevfurazBUoguiO7evdu4D/U///M/27Ztsy+2+Q9Ts73xxhus bXZ2dsAqmqlr1qzpxcPv0ol0fqcu3KRJk5iSJzb74F5s9xNpgU6ePHn77bez 8ydNmmRfwxSDIApUEvUlMXl5ec2aNYspudDu4MGD0hsGTLFSu3PnzrVt2zYm CD4vT7z22mtqWiuL6ILokSNH/va3vw0dOvTPf/7zNddcE1PyGJz33nvPvuTm M0zNlpSUxI5KS0sLXss7RHFxcZrfUB/peEu7+azqtGnT7GsVEERUIBpVeDeB GDdunK0NUwyCKFBJ1EH0/wyPqcTL+xzBeu3Wr1//8ssvP/744z169BgxYsTS pUszMjK4dp47oB1dEDXy448/8vRRsWJF0kFuYPMrpmbbunUrO2rBggXBa/v0 6cNrL168aJs1PEBE4+2FCxfEq5Rwea0arBdo//79vDsfGxs7ffp0uxumGARR oJKyBNHvf7tkNCEhQW6rgBXKUjsaObl2O3fulNsquyl7ECUWL17Mm086yAtr fsbUbLm5uWFGA36AA95NGVGfHTduHEs6d+5cW1sFBBYLtGHDBr7gnHZmk5OT FTRMMQiiQCVlCTPffPMNe+/tt9+W2ypghahrl5+fz0daHnjgAemtshspQVRc MjpkyBCJac3HWDHbPffcE1NyI1jAJzMzM/lV1I888oid1vAA1vvsyZMn+YWe TZs2LSoqsrthgLFSoPnz51eqVCmm5BHNqampahqmGARRoBJTv+Xl5S1evDj4 yq7i4uIHH3yQvbdu3To72whCE10QvXjxYo8ePbhwmzdvtqNhtiIliC5fvpwV GD9+vMS05mOsmC09PT02Njam5OVK27dv54Vbtmxp3LgxX0xOidR+g7ga6312 8ODBbNGUlBS7WwUEpgX69ttvxZX277zzzppQbN26VVmDbcKiUS9cuHCuhJUr V7Imy5Yt4yW0SkE7gT8w9dvevXvJXQ0aNJg6dSr1r/z8/F9++SUtLU3cjn33 3XdfuXJFWYOBwMpYQbEzOTk5Nze3qKjo4MGDixYtEk8a6dWrl5p2ysV6EP3x xx/nzZsX8H5P4vz58x06dGARVqxYYVd08xcWJyZ+HzoTHx9fo0YN/pkC6vvv v6/AHi7Hoozf//ZCz1atWiloFRCYFmjDhg0xZjRt2lRZg23ColEpGPhYBKAM i0G0NK677roDBw4oay0wYmWsEK/yNFKuXLnx48d79E0E1oMov4+mfv36EydO XLt2LUlBgZx+uP/++1mHu+6668yZM2qCnNexfiiPwn+tWrUCpqQtW7bYbQxP YFHGfv36sXTr169X0CogMC3Qpk2bTINos2bNlDXYJiwatWHDhqWJcMcddyho J/AHpn6jOWjChAktWrQIDjMDBgw4ffq0sqaCAKIIorVr1+7SpQuFMTUttINI g2hp1KxZc9euXUpCnB+I6DqQq1evHjx48IsvvlizZk1OTo6tfvAW0V1OA5SB AjHQAajEut/OnTu3Z8+eFStWfPbZZ5mZmZcuXbK7bSA8VmpHkYDiFkWC1atX +yMSWA+itL2jR49u3rx5QASNjY196qmnfvzxRzURzh9gYpICZHQ5KBADHYBK 4DfvomftrAdRwbFjx7Zu3bp48eLk5OTt27efOnXK1szmS/Q0m3Qgo8tBgRjo AFQCv3kXPWsXRRAFZUdPs0kHMrocFIiBDkAl8Jt30bN2CKKOoKfZpAMZXQ4K xEAHoBL4zbvoWTsEUUfQ02zSgYwuBwVioANQCfzmXfSsHYKoI+hpNulARpeD AjHQAagEfvMuetYOQdQR9DSbdCCjy0GBGOgAVAK/eRc9a4cg6gh6mk06kNHl oEAMdAAqgd+8i561QxB1BD3NJh3I6HJQIAY6AJXAb95Fz9ohiDqCnmaTDmR0 OSgQAx2ASuA376Jn7RBEHUFPs0kHMrocFIiBDkAl8Jt30bN2CKKOoKfZpAMZ XQ4KxEAHoBL4zbvoWTsEUUfQ02zSgYwuBwVioANQCfzmXfSsHYKoI+hpNulA RpeDAjHQAagEfvMuetYOQdQR9DSbdCCjy0GBGOgAVAK/eRc9a/c9AAAAAAAA AAAAAAAAaInT56s1ggV3+nC454GMLgcFYqADUAn85l30rB2CqCPoaTbpQEaX gwIx0AGoBH7zLnrWDkHUEfQ0m3Qgo8tBgRjoAFQCv3kXPWuHIOoIeppNOpDR 5aBADHQAKoHfvIuetUMQdQQ9zSYdyOhyUCAGOgCVwG/eRc/aIYg6gp5mkw5k dDkoEAMdgErgN++iZ+0QRB1BT7NJBzK6HBSIgQ5AJfCbd9GzdgiijqCn2aQD GV0OCsRAB6AS+M276Fk7BFFH0NNs0oGMLgcFYqADUAn85l30rB2CqCPoaTbp QEaXgwIx0AGoBH7zLnrWDkHUEfQ0m3Qgo8tBgRjoAFQCv3kXPWuHIOoIeppN OpDR5aBADHQAKoHfvIuetUMQdQQ9zSYdyOhyUCAGOgCVwG/eRc/aIYg6gp5m kw5kdDkoEAMdgErgN++iZ+0QRB0hUrMVFxfTb9lnA48CGV2OnoNqMFHo8PPP P9vUGOB7ou53NEJevHhRenuAdfQcMxFEHcGi2WhYSExMbNOmTY0aNWJiYmrX rt2hQ4c1a9YoMIYngIwuJ4o9hU6dOrVs2XLHjh1yP+ws1nVITU3t2bNnw4YN yajx8fGdO3eePn263c0DPiOifldUVPTJJ58MGzasXbt21atXJ+PFxcUtW7bM 1haC0jCtXVpaWicz+vfvr6zBUkAQdQQrA8Xp06fbt28fE4qnnnpKiTvcDmR0 OZEG0aVLl3JpvvrqK7kfdhaLOiQlJVWsWDHYqM899xylBQXtBP7Aer/Lzc29 //77gy03e/ZsuxsJQmJaOzHuhaF+/frKGiyFMgbRgwcPdunShZw8fvx46WnN x1gZKB577DE2Vbdu3dasWbN3794FCxY0aNCAFy5cuFCNQ9wMZHQ5FifEJUuW TJ48mQpUvnx502wZ0YddghUddu7cyZtTu3btKVOmbN68ee7cua1ateKFEydO VNNU4AMs9rtdu3bdfPPNbLDWrVvTJP7ZZ59R/0pISHB/n/IrprXLyMgYWDp1 6tTRLYieOHGiRYsWbOOePXvaEdj8iqnZVqxYwcL269fPuDwvL+/666+n5Tfe eGN+fr7N7nA7kNHlWJwQb7nlloA9+jDzYEQfdglWdBg0aBBtS6VKldLS0sTC s2fPNm7cmJY3atSouLjY5mYCn2DFb2Snu+66i6xVuXLlDz/8EO5yCZGeRTKS m5tbrVo1Puoit1V2E3UQPXfu3MMPPyzmAgTRiDA12/Dhw1nYI0eOBKyaNWsW r5ozZ46d1vAAkNHlWBxUp06dOqqEJ554wjRbRvRhl2Cqw8WLF/kC5kceeSRg 1YwZM3gzU1NT7Wwj8A9W+l1KSgr76s0331TTKmCFsgTRIUOGUEHLlSu3d+9e ua2ym6iD6AsvvECbLM6OIYhGhKnZOnbsSKrWrFkzeNXRo0dZ86effto2X3gD yOhyIh1UN27caD1bRvRhZzHVIT09nbdl2rRpAauysrJ41dixY+1sI/APpn4r Li7ms5lNmjQpLCxU1jBgStRBlH6rQoUKVNO+fftKb5XdRBdEabTksfH999+v V68egmikmJqN76+pVq1a8BmTq1ev8h0NDz74oJ3W8ACQ0eUgiDKmOixfvpy3 Zd26dcFrK1WqRKsGDx5sWwOBrzD1W05ODvttxIgRly5d2rlz56JFi2bNmrVy 5UraQ1fWThBM1EG0e/fuVFCa1H744QfprbKbKILosmXLypUrR5s8bNgw+i+C aBSYmo205YFi3759wWtZ85YtW9rmC28AGV0OgihjqsPs2bN5W0I+iio+Pp5W 0URjWwOBrzD127Zt29hvNPrdcMMNMQYqVKjQr1+/vLw8Za0FRqILoqKgQ4cO taNVdhNpEN26dStfDfvnP//5/PnzBQiiUWFqtuTkZPZV8+bNA+6m2bVrF99o 065dO5vd4XYgo8tBEGVMdZgwYQJvS1ZWVvBavj+rdevWtjUQ+ApTvy1atMgY Pq+99trf//73t956q1hCo+Kvv/6qrMFAEF0QbdOmDVWtatWqJ0+etKNVdhNR EKXP1K1bl7b3nnvuyc3N5YUIolFgarbCwsJOnTqJUeLJJ58cMWLEX/7yF77P kendu7cyn7gTyOhyEEQZUx3GjBnD23Lw4MHgtY0aNUIQBdYx9dvkyZPZbzQk 7tmzRyyn/aC7776bV9FQaX9LQSBRBNHPP/+cSzZ69GibWmU31oPoiRMnePqu X7/+oUOHxHIE0SiwYrZz5861bds2JggWnHjttdfUmMS1QEaXgyDKmOrwwQcf 8LYYU4GAT5527drVtgYCX2HqtzfeeIP9lp2dHbAqJyenZs2aMbhmySEiHTML CwubNGlC9apVq9b58+fta5itWAyiNJs/9NBDtLE1atT49ttvjasQRKPAutnW r1//8ssvP/744z169KBd1KVLl2ZkZPAYkpiYaLc9XA5kdDkIooypDuJtKVu3 bg1ee80119CqZ555xrYGAl9h6rekpCT2m/GhtQI+ixQXF4cb6tUT6ZhJ8xeX MviBGx7CYhBdu3Ytb+yCBQuO/if8JP9u3brxfymyKotz3iW660CY6dOncy12 7twp1wyeAzK6HARRxlSHTZs28bYEv+rrxIkTvGrkyJF2thH4B1O/0f6OmNCD 1/bp04fXXrx40bY2gtBENGZeuHBBvErJ09f0WgyiX3/9dfDJzZBQZFUW57xL 1AkqPz+fjffAAw9IN4PngIwuB0GUMdWB0iY/iuS5554LWLV48WLezKSkJDvb CPyDqd9yc3PZVAkJCcFr+al3nntNpD+IaMwcN24c13Hu3Lm2tspupAdR+qSy OOddoktQtH/ao0cP1nnz5s12+MFbQEaXgyDKWNGhS5cuMSUvmqeQIBYWFxd3 7tyZllevXv3ChQs2NxP4BCt+u+eee2JK3u8Z8MnMzEx+T03wS76AAqyPmSdP nuRHGDVt2rSoqMjuhtmKxSCan59/qBRuvPHGmJIL6fm/9Ellcc67WDEb5aXk 5GSalchjBw8eXLRo0W233cYzb69evdTYw+VARpdjcVCliHWuhJUrV3Jpli1b xkuC01dEH3YJVnSgreDNad++PYUBiqDHjx9PSEjghQMGDFDTVOADrPgtPT09 NjY2puTlStu3b+eFW7Zsady4MS2sVKkSmdD+loJArAfRwYMH8+CQkpJid6vs xmIQDQNuVooCK2YT76A0Uq5cufHjxwe/J0hPIKPLsTioNmjQoLQzLLSzX5YP uwQrOhQWFvbu3VtsS9WqVY3bhffdAOtY7Hf8anImPj6+Ro0a/DMF1Pfff19B O0EwFmv3/W8v9GzVqpWCVtkNgqgjRJGgateu3aVLl7Vr16oxhieAjC7H4qDa sGHD0rLlHXfcUZYPuwSLOtCe0YgRI6pXry62qGLFig899NDZs2cVNBL4ButH 1ebNm1erVq2AvbktW7bY3UJQGhZr169fP67X+vXrFbTKbhBEHcGK2a5evbpr 164vvvhi9erVOTk5avzgLSCjy7E+IfqbiHSgOHrgwIGlS5emp6dfunTJ1oYB XxKR32iEPHjwII2Qa9aswQjpOHqOmWUPovz6uccff1xuVPM3eppNOpDR5aBA DHQAKoHfvIuetSt7EAVRoKfZpAMZXQ4KxEAHoBL4zbvoWTsEUUfQ02zSgYwu BwVioANQCfzmXfSsHYKoI+hpNulARpeDAjHQAagEfvMuetYOQdQR9DSbdCCj y0GBGOgAVAK/eRc9a4cg6gh6mk06kNHloEAMdAAqgd+8i561QxB1BD3NJh3I 6HJQIAY6AJXAb95Fz9ohiDqCnmaTDmR0OSgQAx2ASuA376Jn7RBEHUFPs0kH MrocFIiBDkAl8Jt30bN2CKKOoKfZpAMZXQ4KxEAHoBL4zbvoWTsEUUfQ02zS gYwuBwVioANQCfzmXfSsHYKoI+hpNulARpeDAjHQAagEfvMuetYOQdQR9DSb dCCjy0GBGOgAVAK/eRc9a4cg6gh6mk06kNHloEAMdAAqgd+8i561QxB1BD3N Jh3I6HJQIAY6AJXAb95Fz9p9DwAAAAAAAAAAAAAAAFri9PlqjWDBnT4c7nkg o8tBgRjoAFQCv3kXPWuHIOoIeppNOpDR5aBADHQAKoHfvIuetUMQdQQ9zSYd yOhyUCAGOgCVwG/eRc/aIYg6gp5mkw5kdDkoEAMdgErgN++iZ+0QRB1BT7NJ BzK6HBSIgQ5AJfCbd9GzdgiijqCn2aQDGV0OCsRAB6AS+M276Fk7BFFH0NNs 0oGMLgcFYqADUAn85l30rB2CqCPoaTbpQEaXgwIx0AGoBH7zLnrWDkHUEfQ0 m3Qgo8tBgRjoAFQCv3kXPWuHIOoIeppNOpDR5aBADHQAKoHfvIuetUMQdQQ9 zSYdyOhyUCAGOgCVwG/eRc/aIYg6gp5mkw5kdDkoEAMdgErgN++iZ+0QRB1B T7NJBzK6HBSIgQ5AJfCbd9GzdgiijqCn2aQDGV0OCsRAB6AS+M276Fk7BFFH 0NNs0olUxsuXL+fn59vXHhBApAW6evVqTk7OpUuX7GuSI0TR33/++WebGgN8 D+YX76Jn7RBEHcGK2bKzszuFZebMmWpM4lqsyHj06NFp06bdd9999erVK1eu XExMzLXXXvvHP/5x/vz5FHvUtFNbLA6qV65cmTFjRrNmzSpVqkQFio2NrVu3 7rPPPnv48GEFjVSA9cklNTW1Z8+eDRs2JB3i4+M7d+48ffp0u5sHfAbmF+9i Wru0tLTwhSP69++vrMFSQBB1BCsDxe7du2PC8sILL6gxiWuxIuOdd95ZmoDt 27enCKSmqXpipUDUHVq0aCGKUqFCBfEz5dJ169apaaqtWAyiSUlJFStWDDbq c889V1RUpKCdwB9gfvEuprVbunRp+MIR9evXV9ZgKUQURPfu3Xt/WN555x37 Q5wfiGiguO+++waGYvHixWpM4lqsB9HmzZuPGTNm0aJFCxYs6NmzZ/Xq1Vnb kSNHqmmqnlgpUI8ePcTEt3nz5sLCQhpnJkyYUKVKlZiSo4KnT59W01r7sKLD zp07WYfatWtPmTKFpJg7d26rVq144cSJE9U0FfgAzC/exbR2GRkZIevF1KlT x/dBlMbG8Dl8wIABClKcD4hooMCAUBpWZBw+fPiKFSuKi4uNCw8dOsRZ9NZb b7WzgbpjWqCLFy/yIdBevXoFrEpMTGT/p6Sk2NlGFVgx6qBBg2JKDgKnpaWJ hWfPnm3cuDEtb9SoUYCHASgNzC/exfplPMHk5uZWq1aNatqtWze5rbKb6IJo 27Zt/xKKefPmKUhxPgADhRTK0mcfffRRlvf8+fNyWwUEpgUShwFHjRoVsEr4 /6233rKzjSqwEshr1KhBG/vII48ErJoxYwbrkJqaamcbgX/A/OJdyjKpDRky hAparly5vXv3ym2V3UQXRBE4ywgGCimUpc/27NkzpuS+mF9++UVuq4DAtEAX LlyIi4ujQjRt2jSgEMnJyez/HTt22NxM2zHVIT09nTd22rRpAauysrJ41dix Y+1sI/APmF+8S9STGv0Wn13q27ev9FbZDYKoI0Q0UCQmJh49evSnn34qLCxU 4wqvEHWfLSoquuWWW0jbm2++WXqrgMBKgR5++GH2efPmzTMzM3khhdK2bdvS wnr16vnglLSpDsuXL2cRQt6cxQ8TGDx4sG0NBL4C84t3iXpS6969O1WzYsWK P/zwg/RW2Q2CqCNENFAIYmNjb7zxxhdffPHgwYNq7OFyou6zZGCWdPjw4dJb BQRWCnTs2LGWLVsKk3fq1CkpKalDhw70c4MGDTx3jikkpjrMnj07zOHf+Ph4 WkUTjW0NBL4C84t3iW5S27ZtGxdx6NChdrTKbqILou+9915WVtZ333139uxZ BbHNf0Q3UAji4uKMdzRoS3R99sCBA3ynEv1LKciOhgHGYoGoR9x0000BJq9S pcqRI0cUNFIBpjpMmDCBt5rG1eC1fPS+devWtjUQ+ArML94lukmtTZs2VLiq VauePHnSjlbZTXRB1MgNN9wwaNCgjIwM++Obf7Bittzc3MmTJ69cuXLnzp30 4fT09Pnz5997770se61atXJyctSYxLVE0WdJtNtuu401xMVRdmOlQFQRdvXt t99Oe7jt2rUTY0vTpk137dqlpqm2YqrDmDFjeJNDHoxq1KgRgiiwDuYX7xLF pPb5559z1UaPHm1Tq+ym7EGUqVy58tq1axVEOH8Q9Tllon///qx5cnKyXDN4 jkhlpL1FSjus3qRJk+xrGGBMC0R9oW7dulSOO++889SpU+K3+vXrFxsbG1Py fPtNmzYpaayNmOrwwQcfsC337NkTvJZ29mlV165dbWsg8BWYX7xLpLUrLCxs 0qQJ7zt49wkwEQXR7OzscePGLVmyZOPGjbt3705NTf3oo4/E9V3x8fFWvgQU lC2Ifvfddyx4QkKCXDN4johkPHLkCHdYgmxsa8MAY1qgadOmcUWSkpICVonL Jjt27GhnG1VgqoN4W8rWrVuD115zzTW06plnnrGtgcBXYH7xLpHWTjxvOfiB Gx4ioiBaGr1792Yp5syZIzGt+ZiyDBSXLl1itfv06SPXDJ7Duoz79++vV69e TMkF+Xh5tzJMC0QeZjPn5uYGrKI9fX60Zp06dexsowpMddi0aRPrsHDhwoBV J06c4FV4CxiwCOYX7xJR7S5cuCBepfTrr7/a2jBbkRJEd+3axdYdMmSIxLTm Y8oyUOzZs4fVxnMFLcq4YcOG6667Lqbk0RY436QS0wL17duXzRzyPZ58BLtB gwZ2tU8VpjpQ2ixXrlxMyWvlA1YtXry4tIPGAIQE84t3iah248aN42LNnTvX 1lbZjZQgeurUKVajZ8+eEtOaj7FitpSUFNo5DV7OjwsjVq5caY8pPIMVGefP n8+PYaxZsybeTaMY0wK98847bGb6IWDV8ePHK1euHOOLxxZZMWqXLl1iSl40 bzw4XFxc3Llz55iSJzxcuHDB5mYCn4D5xbtYD6InT57kF3o2bdq0qKjI7obZ ipQgunXrVnHySGJa8zFWzEZTD81KtMuzadOmM2fOXL58OSMjo2vXriz1n/70 p6tXr6oxiWsxlfHbb7+N+Q2KOmtCEfKqPCAF0wIdOnSIx9K4uDjjWenDhw/z A0liY2NXrVplf0vtxUp/X7ZsGRu1ffv2mZmZFEEpiickJPDCAQMGqGkq8AGY X7yL9SA6ePBgLhbtU9jdKruJKIh+8sknp06dCl7erVs3FmTJkiU2pDYfYnGg iDHANxEz119//f79+9U4xM2Yyrhhw4YYM2h3UlmDdcOKz8WrPInGjRvTYEIR lI+FEmPGjFHTVFuxokNhYaG42D6m5JGARosePXpUTVOBD8D84l0sBtHvf3uh Z6tWrRS0ym4iCqLVqlUji44aNWrNmjWHDx/Oy8vbsmULnzki/vjHP547d05B ivMBVsw2adKkFi1aBKQm8t5TTz1Fyquxh8sxlVHcAxKGZs2aKWuwblgcVNPS 0mg4DahLkyZNvvzySwWNVIBFHYqLi0eMGGFMCBUrVnzooYfOnj2roJHAN2B+ 8S4Wx4p+/fpxydavX6+gVXYTaRAtbTaPj4/fsWOHggjnD6wffj99+vTu3btX rFjx6aef7tu37/Lly3ZbwkNYlxE4QkQFOnbsGA2q8+bNW716dXZ2tp/ODEak A8XRAwcOLF26ND09PeRVfACEB/OLd9FzUosoiI4dO7Z58+YBEbR8+fJ9+vT5 8ccfFeQ336Cn2aQDGV0OCsRAB6AS+M276Fm7iIIoQ5lz8+bNixcvXrhw4bff fpuXl2drZvMleppNOpDR5aBADHQAKoHfvIuetYsiiIKyo6fZpAMZXQ4KxEAH oBL4zbvoWTsEUUfQ02zSgYwuBwVioANQCfzmXfSsHYKoI+hpNulARpeDAjHQ AagEfvMuetYOQdQR9DSbdCCjy0GBGOgAVAK/eRc9a4cg6gh6mk06kNHloEAM dAAqgd+8i561QxB1BD3NJh3I6HJQIAY6AJXAb95Fz9ohiDqCnmaTDmR0OSgQ Ax2ASuA376Jn7RBEHUFPs0kHMrocFIiBDkAl8Jt30bN2CKKOoKfZpAMZXQ4K xEAHoBL4zbvoWTsEUUfQ02zSgYwuBwVioANQCfzmXfSsHYKoI+hpNulARpeD AjHQAagEfvMuetYOQdQR9DSbdCCjy0GBGOgAVAK/eRc9a4cg6gh6mk06kNHl oEAMdAAqgd+8i561+x4AAAAAAAAAAAAAAAC0xOnz1RrBgjt9ONzzQEaXgwIx 0AGoBH7zLnrWDkHUEfQ0m3Qgo8tBgRjoAFQCv3kXPWuHIOoIeppNOpDR5aBA DHQAKoHfvIuetUMQdQQ9zSYdyOhyUCAGOgCVwG/eRc/aIYg6gp5mkw5kdDko EAMdgErgN++iZ+0QRB1BT7NJBzK6HBSIgQ5AJfCbd9GzdgiijqCn2aQDGV0O CsRAB6AS+M276Fk7BFFH0NNs0oGMLgcFYqADUAn85l30rB2CqCPoaTbpQEaX gwIx0AGoBH7zLv9fe/ceG1W1xXF8UAsCgrGKf/hA0GIEo/EFBGsxhNYqaiEi rxgUxAo0CCqJthUDwQcg4KuaWEONSAxSH4FwSylCxAdaoQKhSLlNbItpeCm1 +Ih/aHrvyqx4MjkDZdrO7LOP+/v5a2af3TPTtRbHX+tMx83eEUQD4eawJR1l tBwNUtQBJjFv4eVm7wiigXBz2JKOMlqOBinqAJOYt/Bys3cE0UC4OWxJRxkt R4MUdYBJzFt4udk7gmgg3By2pKOMlqNBijrAJOYtvNzsHUE0EG4OW9JRRsvR IEUdYBLzFl5u9o4gGohODNtvv/2WohkIL8poORqkqANMcjPM/Du4ea0giAYi 8WHbtm3bhAkTBgwYEIlE0tPTc3NzX3/99VRPRVhQRsvRIEUdYFJHw0xbW1tO Ts6wYcN27tyZumeFRLh5rSCIBiLBYVu9enVaWlokziOPPPL3338bGA/LUUbL 0SBFHWBSR4NoeXm5TtrmzZtT96yQCDevFR0KorNmzRoVNW3atNPtWbRoke4Z PXr0L7/8oouHDh0aFFVQUJC0MBdjwYIFev69e/em4vw+n3766eIYX331lUxF 7EpTU1P7Z0hk2Hbt2qWjdfHFFy9fvvyLL74oKysbPny4Lj7//PNmJsRmlNFy NEhRB5iUYJhZt27d0qVL77333rPPPpsgagk3rxUdCqI33nijF7yrqqriNzQ0 NJx77rnenhMnTuj6Dz/8oCt5eXmdCH5nNGPGDD1/dXV1Ks7v89RTT8X+DLJs 2bLMzMzYlW+++ab9MyQybDNnzpRTde/eXYKut9jS0pKRkSHrAwcObGtrS/F0 2I4yWo4GKeoAkxIMov379/f9Po0gGjg3rxWdDqI5OTlnTGheEG1ubs6OWrhw YSeC3xm9/PLLev4DBw6k4vw++m326tVrdpRk8pUrV8qNcePGJSuI/vHHH337 9pVTjR071nfozTff1EfZtm1bKkcjBCij5WiQog4wKcEgumLFiuKoKVOmEEQt 4ea1otNBVHz55ZexR48cOXLBBRecMoj+y2gQvfzyy33rn332WbKCaHV1tZ5K Iq7vkIRtPbRo0aJUjkYIUEbL0SBFHWBSgkHUs337doKoJdy8VnQiiObl5V16 6aUayGOPLlmyRBYliz7wwAPxQfTdd9996623duzY4TtnVVWVFG3q1Knjx4+f N2/ea6+9dvDgQd+e5ubmkpKSuXPnjhs3bvr06QsXLly/fr33AlRRU1MjJ3/7 7bdbW1u9xbKyMlnUTFhRUSE/940ZM0Z+9HvhhRckM5/yGzx58uTatWvlaeTk 5Nxzzz2FhYW1tbWrVq2S8+zevdvbZiCIbtiwQU+1devW+KPdu3eXQ7Nnz07Z XIQDZbQcDVLUASYRRMPLzWtFJ4Lo/fffv3TpUrnRrVs3SYB6qKWl5bLLLpPF oqKiRx99ND6InnfeebLy+OOPeyuHDh3KysqKxJHTzp8/39tWWlqanp4ev+2i iy7ynrNkS108fvy494XakcmTJ99xxx2+r73yyislYfq+u7q6upEjR8Y/kFq+ fLnJICqhWk91yr+noQW57777UjYX4UAZLUeDFHWASQTR8HLzWtG5IHr06FH9 fqdMmeLFRbnbu3fvpqamBINodna2bhsyZMi0adPy8/NHjBih73WaOHGi7tmy ZYu+oa9v376SJ+fNmzd27NiBAwfqF+7Zs+eMQdRzzTXX3H777d6LB+S7iP3W 5Au908qNSZMmPfjgg8OGDQsqiD733HN6qgMHDsQf1ReZ33rrrSmbi3CgjJaj QYo6wCSCaHi5ea3oXBCV28XFxXJbUmJtbe3JkyclTMrdOXPmyKFEgqj3Yoa5 c+fGPkRDQ4OcRM6gd6dOnaop1Pf/68vLy2+66ab9+/fr3faDqKTl+vp6XWxs bLz66qsj0d+7xm5++umndXNBQUHs066pqQkkiD777LN6Knnm8Uc1M4du2JKO MlqOBinqAJMIouHl5rWi00G0qampd+/ecnfGjBkffvih3EhLS9OTJBJEKyoq dI9kyHYeUf8sUnp6+s8//9zOtnaCqGbjU272XlcgQVqf3rXXXiu3Yzc3NzcH EkRLSkr0VHv37o0/2q9fPzl09913p2wuwoEyWo4GKeoAkwii4eXmtaLTQVRI xpO7PXr0GDRokNx46KGHdD2RIHrs2LFevXpFoi/1fPHFFxsbG0/5iM8884ye asyYMVVVVbHvRYrVThCV0Ojb7H2KxKZNm3Tl+++/15WVK1f6NgcVRL0nuWPH jvijPXv2lEMPP/xwyuYiHCij5WiQog4wiSAaXm5eK7oSRA8ePOh9yNRZZ53l vWIzwdeIem+uV1ddddX48eM/+eST2Eesqak555xzvD1ykszMzMLCQl9w7VAQ lX9rurmiokJXPv74Y13xPfqvwQXRzz//XE+1Zs0a36EjR47ooaKiolSORghQ RsvRIEUdYBJBNLzcvFZ0JYj++s9rOIVkSG8xwSDa2tr66quv+v70qBg+fHhs kJN/Gt5nV8UmUim1t6dDQXTLli2+IPrOO+/oihzybQ4qiMpESbaPRD861nfo gw8+0EdZvXp1KkcjBCij5WiQog4wiSAaXm5eK7oYRL/77rtu3bpFor8l9hYT DKJKomNlZeXixYvz8vL08wLE4MGDfdv279+/atWqgoKC6667zouj8hOBHu1i EPVWvBN6ggqi4s4774xEP0z22LFj3mJbW1tubq6s9+nT5/fff0/xdNiOMlqO BinqAJMIouHl5rWii0FU7Ny50/cJ7x0KorEOHz58yy236Nc2NDScbtt7772n e+QnAl3pYhCtr6/XFe9lrp4Ag6i+BUyMHDly3759MmZSHymgLubn55uZEJtR RsvRIEUdYFKCQVTiSmvUxo0bdcxkCHUldEnmX8PNa0XXg2i8RIKoRDUpZvzX eu9Oqqurk7slJSXx72OSfyb6wtGZM2fqSheDqLj++utlpWfPnrH/d16ew8SJ E4MKon/99dfkyZMj/9C/UaAGDx78448/mpkQm1FGy9EgRR1gUoJB9Iorroic hoycgeeJeG5eK4IKomVlZXI3MzPzo48+0qh59OjRysrKAQMGyHr//v31DfIZ GRl9+vRZsGDBt99+q5/pWVtbO3/+fD1/aWmpnq3rQdR7cYV8VW5u7vTp00eM GNGjRw+vv+aD6P+iv2yXx5IKeE8jLS3trrvuamlpMTAb9qOMlqNBijrApATn Tf9re0pDhgwx8DwRz81rRbBB1NOvXz99/W0k+gb8tWvX6jYJot4eiYWx72wa NWqU1Fy3dT2IiqKiovh/j6NHj9Ybr7zyirfTWBBVMnJ1dXXl5eXV1dV//vln SuchXCij5WiQog4wqUPzBqu4ea3oUBC9+eabIzGfv3k6s2bN0jzmBUWhb0R6 8skn9W59ff0TTzxxySWX+IJfVlbW5s2bva96//33s7OzvYyqzj///MLCwsOH D3vblixZood++uknb1E/LVR2+p7e1q1bdXNlZaXv0KZNm+bMmXPbbbfJgz72 2GPr16+Xsuhm6bW3zXAQxelQRsvRIEUdYBLzFl5u9q5DQTQVGhsbt2/fvm7d Oklxp/uz9idOnNizZ8+GqN27d7f/KUvJ5b2Ke9euXd4iQdQSlNFyNEhRB5jE vIWXm70LPIjao6mpybdy/PjxrKysSPQzRmN/10oQtQRltBwNUtQBJjFv4eVm 7wiiHgmQN9xwQ0FBwUsvvVRaWlpcXKwfXSpWrFgRu1ODqKTT/0TV19d//fXX ckO2EURNooyWo0GKOsAk5i283OwdQdQT/04lNWHChNgXu/76TxD1LFu2LDMz M3aFIGoGZbQcDVLUASYxb+HlZu8Iop7CwsKcnJyMjIz09PQLL7xw6NChkyZN 2rhxY/zON954Y2iMNWvW5Ofnx67s27ev/cdyc9iSjjJajgYp6gCTmLfwcrN3 BNFAuDlsSUcZLUeDFHWAScxbeLnZO4JoINwctqSjjJajQYo6wCTmLbzc7B1B NBBuDlvSUUbL0SBFHWAS8xZebvaOIBoIN4ct6Sij5WiQog4wiXkLLzd7RxAN hJvDlnSU0XI0SFEHmMS8hZebvSOIBsLNYUs6ymg5GqSoA0xi3sLLzd4RRAPh 5rAlHWW0HA1S1AEmMW/h5WbvCKKBcHPYko4yWo4GKeoAk5i38HKzdwTRQLg5 bElHGS1HgxR1gEnMW3i52bv/AgAAAAAAAIBjgv69LAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAANrzfx26nCk= "], {{0, 442}, {899, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{449.5, Automatic}, ImageSizeRaw->{899, 442}, PlotRange->{{0, 899}, {0, 442}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7796237380930147`*^9, 3.779623830593856*^9}, { 3.779623967870583*^9, 3.779623987186899*^9}, 3.779626250558238*^9, 3.7800512454456663`*^9, 3.780052570047118*^9, 3.780054188071721*^9}, CellLabel->"Out[5]=", CellID->977705300] }, Open ]], Cell[TextData[{ "Find the co-occurrence of the integers ", Cell[BoxData[ FormBox[ RowBox[{"[", RowBox[{"1", ",", "3"}], "]"}], TraditionalForm]]], " in a list of random integer pairs: " }], "Text", TaggingRules->{}, CellChangeTimes->{{3.778697438023643*^9, 3.778697502520707*^9}, { 3.779625826427458*^9, 3.779625842391802*^9}, {3.7796264295285053`*^9, 3.779626430025093*^9}, {3.780052753756423*^9, 3.7800527627451773`*^9}}, CellID->260270941], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"iiPairs", "=", RowBox[{"RandomInteger", "[", RowBox[{"3", ",", RowBox[{"{", RowBox[{"200", ",", "2"}], "}"}]}], "]"}]}], ";"}], "\n", RowBox[{"CrossTabulate", "[", "iiPairs", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.77962638498825*^9, 3.779626434759124*^9}, 3.7803365082758336`*^9}, CellID->382990620], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnX9QVOf1/xeCSqwiCGOUUcE0/sIhZtSRRLGjIiYxISHq1zaKUj9+02+i VBqMpslgB0WNMZpxHOWHtqLojKitbSCIQ5VEBe0gMugIViNVUFAU5MegtiLk e8qZ3u5nl929u55n97ic1x/E3OdeeXteu899nmU4d9j/xM/+lafBYFjhDV9m L/50WkLC4s/m+ML//J/lKz76f8s/+L9vLv/kg//3QcKr//McHJwAXzLhv//+ 84+CILgFVwRBcCNaGMM8IcZz9ZRsEbFMglgmgXlCsUwC84RimQTmCcUyCcwT imUSmCcUyyQwTyiWSWCeUCyTwDyhWCaBeUKxTALzhGKZBOYJxTIJzBOKZRKY JxTLJDBP6MaWa2trVVSsSxxI6Px4+sve0dEBV6nTaoIDlnNycqKjo4cOHWow GPz8/CIiIjZt2qSyhP9Gf0IXxrNZbZCblpY2efJkHx8fiDdgwIDp06fn5eVx swwhvby8DGYsWrSosbFRdRmZx7Ne6nv37v3sZz8zzwbExsbysfz9999jqoCA gOTk5GPHjm3fvn3ChAl4cPXq1arLyDye9VLPmTMHk0RFRcH798KFC5mZmUFB QXhw3759TCwvXrwY8vTo0SM/P187WFVV9eKLL8JxCNzc3Ky0jMzjWalzdnY2 2oyJiTE+Xl9fD69JOP7CCy/AbONyy3fu3Onbty/kmTVrlsnQli1b8J8A90Sl ZWQez0qdExISMAO86kyG0tPTcWjXrl0ut3zixAkMs379epOhc+fO4dBnn32m tIzM41mp84wZMyCAr6+v+VB1dTXGg7nI5ZYPHDiAYWDyMR+FeRKGlixZoqSI OixziGelzrju6tOnDyyzTYba29sx3syZM11uedu2bVjG7777znwU9iy4rlBT RduWOcSzUuf4+HiMd+nSJfPRwYMHw9DEiRNdbjkxMRFzwgRoPoo5w8LC1FTR tmUO8azUef/+/RgvNDTUZJVVUlKCC7ApU6a43PKqVaswZ2lpqfko7ghcaJlD PCt1bmtri4yMxIT9+vWD/TsE/uUvfzl27FjDf/jFL37hcstfffUVhikqKjIf 9ff3h6HXX39dTRVtW+YQz3qpm5qawsPDDWbgPAP89re/dbnlvXv3Yhjj3aiG t/e/f2t64cKFaqpo2zKHeHoKXlBQsGLFip///Odz586Ft/OhQ4dg8sHkaWlp Lrecl5eHYXbu3Gky9MMPP+AQ7AqVlpF5PMcUaOtGWFHQytXQbxlq5eHhYej8 TNhkKCMjQ3s1Ki0j83gO1B9WYgMHDoRsERER5HI19FsGcGsPC8LKykrtYHNz MyQ0dG4Gb9++rbSMzOPZW/wHDx7AvI2vwFOnTqnwi9hlOTMzEyNNmjTp7Nmz UMCrV68uXboUD8bGxiqqYYs+yy6PZ9Mp7Kfq6uqePHkCwQ4cOPDTn/4Us82b N0+dYnst379/X/vBCtC7d2/tzyNGjKioqFBdRubxrJda+yTTGE9Pz7Vr15p/ IOZCyy2dE2B8fDzMflpOLy8v2AlWVVWpq2GL7p8vuzaeXZYHDBjwxhtvwI5A qV/HLCNQzJKSEti8nDhx4u7du+qqp2FXQlfFs17q9vZ2SPWXv/zl6NGjNTU1 TpCr4Zhl58M84dPspJyAWCZBLJPAPKFYJoF5QrFMAvOEYpkE5gnFMgnME4pl EpgnFMskME8olklgnlAsk8A8oVgmgXlCsUwC84RimYQrAhGuNmkNV9fGfXC1 SWswT4jxXD0xW0QskyCWSWCeUCyTwDyhWCaBeUKxTALzhGKZBOYJxTIJzBOK ZRKYJxTLJDBPKJZJYJ5QLJPAPKFYJoF5QrFMAvOEYpkE5gnFMgn2Jmxubp42 bdr48eO7bOVHjr2WOzo6IiMjJ06cWFxcbD5aWFgYaYuFCxeKZa0x1JEjR9Sl 0rDX8qFDhzDesWPHrIxaYciQId3W8p49e9asWfPmm296enoytHzw4MGNGzdG RUU999xzViyXlpb+yjLYU6g7W9b64GmwsoxP0zCmS8tWqKurw34a8FLptpbX rVu3ohOtwxIry5s3b/68k/fff98xy9jyCGaqCxcudFvLGkePHmVoWUN7xIZd luFb4LNXFixYoP8qsUyFcyzPnj3b0Plgjn/84x9iucUdLZ85cwYviYuLs0ux WKbCCZYnT54M5//kJz+5c+eOWEbczPKf//xnPD8xMdFexWKZCqWW29raRo0a BSf7+/s3NzeLZQ13spyWloYnb9myxQHFYpkKdZZbW1u1D7v++c9/imVj3Mby mjVr8Mw//OEPjikWy1QosgzLafw8c/To0U+ePBHLyO3bt292cvDgQSxjZmYm HlHX6L5Ft2WYfps6ycnJwXiHDx/GIzBkfv5HH32kvVYdVux+luHmZbDAiBEj VMezWW3tObzmwLvVXA1+nhkWFvY0it3PsvkPfTRGjhypOp7NagcHB1uKFxIS YnJyTEwMDhUUFIhlDth7X3YyYpkEsUwC84RimQTmCcUyCcwTimUSmCcUyyQw TyiWSWCeUCyTwDyhWCaBeUKxTALzhGKZBOYJxTIJzBOKZRKYJxTLJFwRiHC1 SWu4ujbug6tNWoN5Qozn6onZImKZBLFMAvOEYpkE5gnFMgnME4plEpgnFMsk ME8olklgnlAsk8A8oVgmgXlCsUwC84RimQTmCcUyCcwTimUSmCcUyyTYm7C+ vr66ulpdHhOUWn7y5An8czo6Ohz+G9zJckVFxfr168PDwwMDAz08PAwGg4+P z7hx41JTU5uampwQT3/ZrXdBBxoaGn7/+9/PmjVr2LBh+LvqPXr0CA4OXrly ZVVVVXe2PGbMGEu/Az5p0iSom+p4+stuvQv6j/9pudkl/v7+5eXl3dxySEjI qlWrdu/enZ6eHh0djd1XgISEBNXxbFZbZxd0zTK8eT/55JOMjIzjx4/D19de ew2vgn9pt7UcFxeXlZXV3NxsfLCsrAxFQ8VUx7NZbf1d0L/44ovMzMy2tjbj g48fPw4LC8ML6+rquqdlS7z11ltYmVu3btGm0tBp+em7oMO1eGFpaalYNgbm be31T5tKw977smP9sYE33ngDrurVq9ejR4/EskZjYyM+zGLQoEHkqTRUW25v bz9//vzy5cvxquTkZP3fqztYTklJwcrAXZs8lYY6y7W1tTNmzOjfvz+e7+3t DYrt3Tu7t+WSkhJcesHXy5cvqwiGqLMMf63xam3evHl2PZfE7S3D+cOGDcPi wDZEUTDteymyfP/+/d/97newDZwzZ07v3r3hEtiFpaWliWXg2rVrw4cPx0om JSWpC4Y4Z/VVX1+Pnwn07Nnz6tWr3dxyeXm5phi2HkqDIU5bY2dnZ+OFO3fu 7M6Wi4uLAwMDsRSbNm1SHQxxmmXtNv2b3/ym21rOzc319fWFInh5ee3atcsJ wRCnWf7rX/+qvYC7p+XU1NQePXpABfr165eTk+OcYAitZbj/ZmVlmXy8+WPn T7JmzpyJFx4/frwbWi4oKNC2Gxs2bPhTV+Tn5yuNZ7PaOrugw14JhoKCgjZv 3lxUVNTY2Pjw4UN8KDNeNW7cuMePH3dDyzBXG2yhrhG6Tss6u6CjZUv4+fnB 3l+/YneynJeXZ9PyqFGjlMazWW2dXdDhL0xOTn7llVdMzvH09Pzggw/u3btn l2J3suxa7L0v6wRm8rKyMtg9we3m4sWLdv2EwhixTIIiy1SIZRLEMgnME4pl EpgnFMskME8olklgnlAsk8A8oVgmgXlCsUwC84RimQTmCcUyCcwTimUSmCcU yyQwTyiWSbgiEOFqk9ZwdW3cB1ebtAbzhBjP1ROzRcQyCWKZBOYJxTIJzBOK ZRKYJxTLJDBPKJZJYJ5QLJPAPKFYJoF5QrFMAvOEYpkE5gnFMgnME4plEpgn FMskME8olkmwN2FjY+P169dNOq+qQ6nl9vb2mpoah3/h8Uf3snzjxo3t27fP nDkzKCgIWxN7eXkNHTo0Pj6+vLzcCfH0l91mF/QfOzvo7tixY8yYMT179oR/ i4eHR2Bg4JIlS+Cf2Z0tR0VFWfod8P79+0M9VcfTX3abXdDh7zT+LXVsd4+A dLuairilZXjzLl++PCUlJTs7G77C+0V1I4IW3Zb1d0GfO3cunrBs2bJTp061 tbVduHAhOTkZ2/fBi9aujgTuZDkpKSk9Pf3+/fvGBxsaGiZMmIAVq6ysVBrP ZrV1dkF/8OABvnnnzZtnMpSWloYXHjlypHtatsSKFSuwMqdPn6ZNpaHTss4u 6OfOncNRONNk6Pz58zj05ZdfimVjZsyYgbezu3fv0qbSsPe+bL3fV2trq7e3 t6GzcdDDhw+Nh/bv348XWlm2dSvLTU1NcEf78MMPsSyJiYmKsrUo6N03a9Ys PCE0NPTixYt4EIyHh4fDwcGDB9vVItstLV+9enXq1Kl+fn5YqF69eoFipXtn css3b97U1o0AbLv27t07ffp0Q2e3N3tbZLulZe3mhbz33ntnzpxxQjxCyz92 bqYGDRpkslqDNXY3f2qYBtTh008/jYuLe+edd55//nlDZz+0rVu3qo5HaLmm pgafHjVy5EhIPmXKFE003KxLSkrEsjHXr1+HnbKh8wl6paWl5MEQWsvwF2Lz 55dffhlWjJqpmJgYfLIh7LNOnjwplo3JysrCkm7bto001H+htbxlyxYchXux ydDOnTtxCDYOYtkY7Ta9dOlS2lQatJbnz5+Po+YPgGtra/Px8YGhgQMHimVj vvnmGyza2rVraVNp0FpesGABjnb5MSbegGCl3Q0tw/03IyPD5ONNADZQuAEB srOzlcajsvz111/jKPzBZKi2thY2hjA0e/bsbmgZ9krwbx8yZMi6devy8/Or q6thuoM/TJs2DSs2duxYdQ/n1WlZZxf0a9eu4WOwvL299+3bpx2/cePG5MmT DZ0/hczNze22li3h6+sLuw/V8WxWW2cX9B+NPskEXnrppaioKPCL72Jg9erV +hW7k2XYYCYmJoaGhppUD172sbGxMJ87IZ7Nauvsgo4UFhZqz+HVgJvyt99+ a5did7KscfPmzaKiItg9wdvh7Nmz6n5CYYy992X9wD+noKAAlhxHjx6trKxs b2934C9xP8suQZ1lEsQyCWKZBOYJxTIJzBOKZRKYJxTLJDBPKJZJYJ5QLJPA PKFYJoF5QrFMAvOEYpkE5gnFMgnME4plEpgnfIYsC4LgHrh62rMG84QYz9UT s0XEMglimQTmCcUyCcwTimUSmCcUyyQwTyiWSWCeUCyTwDyhWCaBeUKxTALz hGKZBOYJxTIJzBOKZRKYJxTLJDBPKJZJcCBhbW2tojDmuKvl5ubmadOmjR8/ /rvvvlNUOmP0J8zJyYmOjsbutX5+fhEREZs2bXJOPP1l19MF3bGTaS3v3bsX f2/6yJEjikpnjM6EaWlpxg3DNRYtWtTY2Kg6nv6y2+yC7vDJJJb37NmzZs2a N99809PTk5tlrSVLQEBAcnIy1GT79u1ac+zVq1erjmez2vq7oNt7Mq3lwYMH m7xN+FhevHixobNHX35+vnawqqrqxRdfNHS2TlLXcFWnZZ1d0B04mdbyunXr VnSitdxnYvnOnTt9+/aFPLNmzTIZ0lrhwS1baTyb1dbZBd2Bk2ktaxw9epSV 5RMnTmCe9evXmwxpreM/++wzpfH0l11PT13HTnZvywcOHMA8XbZug2kchpYs WaI0nlh+Smwm3LZtG+bpcmeHHdFhJaM0nlh+SmwmTExMxDwwP5uP4qIxLCxM aTyx/JTYTLhq1SrM02UTbGyaJ5afdctfffUV5ikqKjIf9ff3h6HXX39daTyx /JTYTKh9Fme8WdbAB/csXLhQaTyx/JTYTJiXl4d5du7caTL0ww8/4FBCQoLS eGL5KbGZEFTiMx0WLVpkMpSRkYFR09LSlMYTy0+JnoT4DLiAgADj5zk2NzdH RETA8T59+ty+fVtpPLexDIW62cnBgwfxW2dmZuIRdTVs0WcZkmCkSZMmnT17 FvxevXp16dKleDA2NlZ1PJvV1tkF3YGTaS0PGTLEYIERI0aoLqP1c+7fvz9n zhwtDz7EVstWUVGhOp7Nauvvgm7vybSWzX9QojFy5EjVZbR5Grx/4+Pj8XEA iJeXV2RkZFVVlbpsLbot29UF3a6TaS27CrsSguuSkhLYW504ceJZ74JOglta dj5imQTmCcUyCcwTimUSmCcUyyQwTyiWSWCeUCyTwDyhWCaBeUKxTALzhGKZ BOYJxTIJzBOKZRKYJxTLJDBPKJZJuCIQ4WqT1nB1bdwHV5u0BvOEGM/VE7NF xDIJYpkE5gnFMgnME4plEpgnFMskME8olklgnlAsk8A8oVgmgXlCsUwC84Ri mQTmCcUyCcwTimUSmCcUyyQwTyiWSWCe0F7L7e3tNTU1jx49UmfWGHe17JIm 7Tar/fjx4x07dowZM6Znz54Gg8HDwyMwMHDJkiU3btwQyy32W3ZJk3brpYbT XnnlFeNfn9f+DNKPHz8ulnUmdG2Tduul1npNL1u27NSpU21tbRcuXEhOTsbO GP379793755Y1pPQtU3ardT5wYMH+OadN2+eyVBaWpoWVSzrSejaJu1W6qz1 6P78889Nhs6fP49DX375pVi2K6FL2pFZqXNrayt2iRw9evTDhw+Nh/bv349R HX7EjFhmYhmYNWsWRgoNDb148SIeBOPh4eFwEO41HR0dYvlZt3zz5s2JEydq C4bIyEjYCEyfPt3Q+eQUWIkpUiyWqdBj+cfOzdSgQYNM1oewxq6qqlKnWCxT ocdyTU3Na6+9Zuhsf7d169YpU6ZoouFmXVJSIpafdctwTmBgIOR5+eWX7969 qxU/JiYGWwHDPuvkyZNi+Zm2rD3TCu7FJkM7d+7EoRkzZojlZ9ry/PnzMU9d XZ3JUFtbm4+PDwwNHDhQLD/TlhcsWIB5uvwYc9SoUbjSFsvPtOWvv/4a88Af TIZqa2t79eoFQ7NnzxbLehK6tkm7lTpfu3YN+zl7e3vv27dPO37jxo3Jkycb On8KmZubK5b1JHRtk3brpdY+yQReeumlqKgo8IvvYkPng4MVKXY/y65t0m6z 2oWFhWFhYSbB4Kb87bffqlPsfpZdhU7LCNw+CgoKMjIyYPFQWVnZ3t6uVPGP YpkIuyw7H7FMglgmgXlCsUwC84RimQTmCcUyCcwTimUSmCcUyyQwTyiWSWCe UCyTwDyhWCaBeUKxTALzhGKZBOYJxTIJVwQiXG3SGq6ujfvgapPWYJ4Q47l6 YraIWCZBLJPAPKFYJoF5QrFMAvOEYpkE5gnFMgnME4plEpgnFMskME8olklg nlAsk8A8oVgmgXlCsUwC84RimQTmCcUyCfYmrK+vr66uVpfHBLFMgp6EFRUV 69evDw8PDwwMxPZKPj4+48aNS01NbWpqckI8/WXv6OiIjIycOHGi/t6btbW1 b7/9NlzlQFNWd7I8ZswYS7+iPmnSpIaGBtXx9Jf90KFDGOzYsWN6zm9tbR0/ fjxeMn/+fLEcEhKyatWq3bt3p6enR0dHYzcPICEhQXU8m9U+ePDgxo0bo6Ki nnvuOf2W29vb3333Xe0V280tx8XFZWVlNTc3Gx8sKytD0cHBwarj2ay2eUMM PZY//vhjg9ETELq5ZUu89dZbWJ9bt27RptLQaXnz5s2fd/L+++/rtLxjxw48 E6YmfJGI5S6BeRsLVVdXR5tKw9778vfff6/Hcm5uLs7tK1eu/PE/U4FYNqex sREfZjFo0CDyVBoqLMO9pm/fvnDOnDlzsEG6WLZESkoK1hPu2uSpNMgt19TU 4IsTdlvaExDEcpeUlJTg0gu+Xr58WUUwhNYy7Jtgm2/o7Mx5584d7bhY7vKS YcOGYTEzMjIUBdO+F5Vl2DfBVguG+vXrd+nSJeMhsWzCtWvXhg8fjpVMSkpS FwwhtFxYWIhDhw8fbvzfYB/12bNn4//qbwfnlpbLy8s1xbBtURoMIbR8+vRp gz7g9dBtLRcXF+NrHti0aZPqYIhLLMOZ3dMybDB9fX0NnZ8U7dq1ywnBEELL T548uWMBfH4NbP/xf+HMbmg5NTW1R48euG7JyclxTjCEfCfVJbL6Kigo0Kay DRs2/Kkr8vPzlcazWW3YIjV1Ai9CbYmFR2BILNtMCHO1zRuZukboOi3D/tdS ttGjR4tlmwnz8vJsWh41apTSeDarHRwcbClbSEiIzstjYmK6rWXXYu992cmI ZRLEMgnME4plEpgnFMskME8olklgnlAsk8A8oVgmgXlCsUwC84RimQTmCcUy CcwTimUSmCcUyyQwTyiWSWCeUCyTcEUgwtUmreHq2rgPrjZpDeYJMZ6rJ2aL iGUSxDIJzBOKZRKYJxTLJDBPKJZJYJ5QLJPAPKFYJoF5QrFMAvOEYpkE5gnF MgnME4plEpgnFMskME8olklgnlAsk2BvwsbGxuvXr5t0XlWHWCZBT8IbN25s 37595syZQUFB2L7Sy8tr6NCh8fHx5eXlToinv+w2u6BXVlZGWiUlJaV7WsZm aF3Sv39/qKfqePrLbrML+vnz563/xv2yZcu6s2V48y5fvhxe6tnZ2fAV3i+q GxG06Lasvwu6Znnq1Km/6oqsrKzuaTkpKSk9Pf3+/fvGBxsaGiZMmIAVg2lQ aTyb1dbfBV2zbJfN7mDZEitWrMCKnT59mjaVhk7L+rugi2V7mTFjBpSrZ8+e d+/epU2lYe992Wa/L7Gsk6amplOnTn344YdYrsTEREXZWlRaTktLq66uvnXr Vltbm1g25urVq7Bo8fPzw0L16tULFCvdO6uzrOHh4fHCCy/8+te/hn+dWAZM SvTee++dOXPGCfGUWtbw9vbW303XjS1XVVV9+umncXFx77zzzvPPPw+V8fT0 3Lp1q+p4hJbr6upgz5WTk3Pu3Dn4m//2t7/t2bPntddew6v8/f1ramq6uWVj rl+/DjtlqEyPHj1KS0vJgyHkli2xcOFCvHD//v1i2RhYpmJltm3bRhrqvzjN 8t///ne88De/+Y1YNka7xy1dupQ2lYbTLD969AgvtKvnanew/M0332Bl1q5d S5tKw2mWy8rK8MKkpKRuaBnuvxkZGSYfbwKwgZo+fTpWJjs7W2k8QstHjhyB t6358dmzZ+OFsDDrhpZhrwT/9iFDhqxbty4/P7+6uhqWqfCHadOmYVnGjh2r 7uG8Oi3r74Let2/fAQMGrFmz5uTJkxD7X//6FywdtQdWvvrqq/ofQON+li3h 6+tbUlKiOp7Nauvvgo7P/tPAh4YjAQEB5eXl+hW7k2XYPyYmJoaGhppUD+oT GxsL87kT4tmstv4u6F988cUrr7xico6Xlxf8W+rr6+1S7E6WNW7evFlUVAS7 J9hRnj17Vt1PKIyx976sk3v37sEGAZYTf/zjHy9dugTztmN/j/tZdgmKLFMh lkkQyyQwTyiWSWCeUCyTwDyhWCaBeUKxTALzhGKZBOYJxTIJzBOKZRKYJxTL JDBPKJZJYJ5QLJPAPOEzZFkQBPfA1dOeNZgnxHiunpgtIpZJEMskME8olklg nlAsk8A8oVgmgXlCsUwC84RimQTmCcUyCcwTimUSmCcUyyQwTyiWSWCeUCyT wDyhWCaBeUJ3tVxfX19dXa2oaOY4kLC2tlZRGHOUWn7y5AlUu6Ojw+G/wS7L FRUV69evDw8PDwwMxN+b9vHxGTduXGpqalNTkxPKqOfMnJyc6Oho7F7r5+cX ERGxadMmpdla7Ldsswt6Q0PD73//+1mzZg0bNszLy8vQ2ckqODh45cqVVVVV Si2PGTPG0i9ZT5o0SV0/hxbdltPS0rAmJixatKixsVF1PP1lt9kFXesfYo6/ v7/SXgRoOSQkZNWqVbt3705PT4d3TZ8+ffC7JyQkqC6j9XO0liwBAQHJyclQ wO3bt2vNsVevXq06ns1q6++CjpbhzfvJJ59kZGQcP34cvmq9+0CEOstxcXFZ WVkmbUvLyspQNERSVkVdlhcvXowzW35+vnYQ5rcXX3wRjgcFBalruKrTsv4u 6F988UVmZqZJH93Hjx+HhYXhhXV1dYosW0LrXXPr1i3C0hljM+GdO3ew4wrc y0yGtmzZgvHglq00ns1q6++Cbgm4Fi8sLS11smWYt7UXGGHpjLGZ8MSJE5gB 1ocmQ+fOncOhzz77TGk8/WV3uKvbG2+8YejsBd1lNzB1lmFVM3jwYPjWgwYN oi2dMTYTHjhwAOvWZes2mMZhaMmSJUrjqbPc3t5+/vz55cuX41Ww6tD/vUgs p6Sk4LeGuzZt6YyxmXDbtm0Y47vvvjMfxY7osOxRGk+FZdj1z5gxo3///ni+ t7c3KLZ37/yUlktKSnDpBV8vX75MXj0NmwkTExOxDjA/m4/ibANLF6XxVFiG v9Z4tTZv3rwLFy7YpfgpLcMlsGfH7w7rfBXVM/5e1hPC5k5blpiPYtO8Z9Hy /fv3f/e738Eudc6cOb1794ZLYBeWlpbmHMvXrl0bPnw4Rk1KSlJUPQ2bCb/6 6isMU1RUZD7q7+8PQ6+//rrSeCosG1NfX48fWfTs2dOup1c4Zrm8vFxTDGt7 RaUzxmbCvXv3Yh7jzbIG3M5gaOHChUrjqbYMwNoSL9y5c6dSy8XFxYGBgfi9 nPARMWIzYV5envbPNxn64YcfcEjdp3NOs6zdppX2us/NzfX19TV0dv7ctWuX oqKZYzMhqMQfoCxatMhkCNYMWBm4nSmN5wTLf/3rX7X3lyLLqampuPHs16+f us+RukRPQnwGXEBAgPHzHJubmyMiInAXcPv2baXxqCzD/TcrK8v8MWGwgZo5 cyZeePz4cRWWCwoKtPX8hg0b/tQVXd4TCcto/ZzMzEyMN2nSpLNnz4JfWKIs XboUD8bGxirK1qLbss4u6LBXMnR+8L5582ZYTDY2Nj58+LCwsDAyMhKvGjdu 3OPHj1VYhrnaYIsRI0YoLaP1c2DTAdsNLQzuO7RgFRUVirK16Lassws6WraE n5/f5cuX9Su2y7K2vLGCumcc67ynwPs3Pj5e+2GooXP9AG+BqqoqRcGM49ms ts4u6PAXJicnm3dB9/T0/OCDD+7du2eXYrssuxa7EoLrkpIS2FudOHHime6C DjN5WVkZ7J7gbnjx4kW7fkJhjFtadj6KLFMhlkkQyyQwTyiWSWCeUCyTwDyh WCaBeUKxTALzhGKZBOYJxTIJzBOKZRKYJxTLJDBPKJZJYJ5QLJPAPKFYJuGK QISrTVrD1bVxH1xt0hrME2I8V0/MFhHLJIhlEpgnFMskME8olklgnlAsk8A8 oVgmgXlCsUwC84RimQTmCcUyCcwTimUSmCcUyyQwTyiWSWCeUCyTwDyhWCaB eUKxTIK9CZubm6dNmzZ+/PguW/mRo8dyZWVlpFVSUlLEsl0JtcZQR44cUZdK Q4/l8+fPW/8d/2XLlollPQn37NmzZs2aN99809PTk63lqVOn/qorsrKyxLKe hNhv0xiGltXZtISbWV63bt2KTubOnSuWNdzMssbRo0fFsoZYJsEuy2lpadXV 1bdu3TLv2yaW3cayhoeHxwsvvPDrX//arga5YlnjmbCs4e3tXVhYKJbdwHJd Xd3GjRtzcnLOnTsHJ//tb3+DfZ/2iCh/f/+amhqx/KxbtsTChQsx6v79+2nl aohlEp7G8t///neMalfLa7sQyyQ8jeVHjx5h1Pnz59PK1RDLJDyN5bKyMoya lJREK1dDLJOgxzIk6bJdqvZ4VliYqZHsbpZv3759s5ODBw9i6TIzM/GIukb3 Lfos9+3bd8CAAWvWrDl58mRDQ8O//vWv0tJS7RGZr776ant7u1jWk3DIkCGW 9qTqOrS36LZs8pGI9ueAgAB7H6ncnS2bP/pWY+TIkarjWS/1F198Yd7Y3MvL KzY2tr6+Xp1i97PsKvSvvu7du3f+/Pns7Ow//vGPly5dgnlbqV9ELJPwNGts JyCWSRDLJDBPKJZJYJ5QLJPAPKFYJoF5QrFMAvOEYpkE5gnFMgnME4plEpgn FMskME8olklgnlAsk8A8oVgm4YpAhKtNWsPVtXEfXG3SGswTYjxXT8wWEcsk iGUSmCcUyyQwTyiWSWCeUCyTwDyhWCaBeUKxTALzhGKZBOYJxTIJzBOKZRKY JxTLJDBPKJZJYJ5QLJPAPKFYJsHehPX19dXV1erymCCWSdCTsKKiYv369eHh 4YGBgfg74D4+PuPGjUtNTW1qanJCPP1l7+joiIyMnDhxYnFxcZcn0LZMdyfL Y8aMsfQr6pMmTWpoaFAdT3/ZDx06hMGOHTvW5Qm0LdPdz3JISMiqVat2796d np4eHR3dp08fLEtCQoLqeDarffDgwY0bN0ZFRT333HM6LZO0THcny3FxcfBv b25uNj5YVlaGooODg1XHs1lt84YYNi2TtFl2J8uW0Prw3Lp1izaVhk7Lmzdv /ryT999/Xyyb8zQJYd7GitXV1dGm0rD3vvz999+LZXMcTtjY2IgPsxg0aBB5 Kg11lklapru9ZdhxYLngrk2eSkOdZY2naZnu3pZLSkpw6QVfL1++rCIY4gTL Gg60THdjy3D+sGHDsDIZGRmKgmnfi9Yybct0d7V87dq14cOHY02SkpLUBUPI LVvCsZbpbmm5vLxcUwzbFqXBEKdZdqxluvtZLi4uDgwMxFJs2rRJdTDEaZYd a5nuZpZzc3N9fX0NnV1Md+3a5YRgiNMsO9Yy3Z0sp6am9ujRAyrQr18/WLc4 JxhCbpm2ZbrbWC4oKND2Ghs2bPhTV+Tn5yuNZ7Para2tTZ2AI4x6+PBhPAJD xmfStkx3G8swV1vaYGqoa4Su03JQUJClbKNHjzaxbDz6lC3T3cZyXl6eTcuj Ro1SGs9mtYODgy1lCwkJMT6TtmW621h2Lfbel3VC1TJdLJOgyDIVYpkEsUwC 84RimQTmCcUyCcwTimUSmCcUyyQwTyiWSWCeUCyTwDyhWCaBeUKxTALzhGKZ BOYJxTIJzBOKZRKuCES42qQ1XF0b98HVJq3BPCHGc/XEbBGxTIJYJoF5QrFM AvOEYpkE5gnFMgnME4plEpgnFMskME8olklgnlAsk8A8oVgmgXlCsUwC84Ri mQTmCcUyCcwTimUS7E3Y2Nh4/fp1k86r6rDXckdHB1ylTqsJ7mT5xo0b27dv nzlzZlBQELYm9vLyGjp0aHx8fHl5uRPi2aw2yE1LS5s8ebKPjw/EGzBgwPTp 0/Py8sQyoidhVFSUpd8B79+/f3Fxsep41kt97969n/3sZ13Gi42NFcst9liG N+/y5ctTUlKys7Ph68SJE1U3ImjRZ3nOnDmYBHLC+/fChQuZmZlaD4p9+/aJ ZT0Jk5KS0tPT79+/b3ywoaFhwoQJWMnKykql8azUGV5ymCEmJsb4eH19fUBA ABx/4YUXYC0hlh1OuGLFCqzw6dOnaVNp2LSckJCAGaqqqkyG4JWJQ7t27RLL DiecMWMG1LBnz553796lTaVh0zJm8PX1NR+qrq5Gy4sXLxbL9iZsamo6derU hx9+iDVMTExUlK1Fh2Vcd/Xp0weW2SZD7e3t2IwOdgdiWX/Cq1evTp061c/P D/326tULFCvdO9u0DLs5DHPp0iXzUezGDwtFsaw/oUkL8ffee+/MmTNOiGel zvv378cwoaGhJquskpISXIBNmTJFLOtPCCucTz/9NC4u7p133nn++eehgJ6e nlu3blUdz0qd29raIiMjUXS/fv0WLVq0atWqX/7yl2PHjtVejb/4xS/EsmMJ r1+/DjtlqCHc+0pLS8mDITYtA7BOCA8PN/9IBKdr4Le//a1YdjhhVlYWlnHb tm2kof6LHstIQUEB7Ox+/vOfz507F97Ohw4dgtcexktLSxPLDifUbtNLly6l TaWh37I58NrDeOfOnaOVq9EdLH/zzTdYxrVr19Km0nDYMqzEBg4cCNkiIiLI 5Wq4jWW4/2ZkZJh8vAnABmr69OloOTs7W2k8e4v/4MEDmLcxG2ztVfhF3MYy 7JWgVkOGDFm3bl1+fn51dXVdXR38Ydq0aVhGWM2qezivHsvgFPZTkOrJkyew oz9w4MBPf/pTzDZv3jx1it3PsiV8fX1hW6o6nvVSa59kGgNbPLiPmH8gJpa7 pKamJjExMTQ01KSMHh4esbGxMJ87IZ5dlgcMGPDGG2/AbKPUr5tZ1rh582ZR URHsnmB6PHv2rLqfUBijx3J7ezvMJ3/5y1+OHj1q15Pdnh73s+wSnmYn5QTE MglimQTmCcUyCcwTimUSmCcUyyQwTyiWSWCeUCyTwDyhWCaBeUKxTALzhGKZ BOYJxTIJzBOKZRKYJ3yGLAuC4B64etqzBvOEGM/VE7NFxDIJYpkE5gnFMgnM E4plEpgnFMskME8olklgnlAsk8A8oVgmgXlCsUwC84RimQTmCcUyCcwTimUS mCcUyyQwT+iull3SZtyuS2praxWFMcedLLu8zbieM3NycqKjoyEVxPPz84uI iNi0aZPSbC32W+7o6IiMjJw4cWJxcbHOS+BF+/bbb8NVX375pVLLLm8zbvO0 tLQ0eOGZx1u0aBFMPqrj6S/7oUOHMNixY8f0nN/a2jp+/Hi8ZP78+U6w7MI2 49bP+f777zFJQEBAcnIyFBBmHq059urVq1XHs1ntgwcPbty4EcqIM6FOy+3t 7e+++672ilVt2eVtxq2fs3jxYkNnj778/HztYFVV1YsvvgjH4S6jbhWh0zLe R4zRY/njjz/Gm6NzLFvCaW3GrZxw586dvn37QoZZs2aZDG3ZsgXjwS1baTyb 1d68efPnnbz//vs6Le/YsQPPhPcXvkhcZdlpbcatnHDixAmsxvr1602Gzp07 h0OfffaZ0nj6y67dXKxbzs3Nxbl95cqVP/5nKnCyZee3GbdywoEDBzBGl63b sM34kiVLlMajtVxWVoaz05w5c7BVlJMtu6rNuJUTtG6W3333nfkoRoVlj9J4 hJZramq01ugPHz7Eg0627Ko241ZOgJcZhoH52XwUKxYWFqY0HpVl2DeNGzcO V4yw3tCOO9myq9qMWzlh1apVWLcum2DjY5ueCcuwb8Ida79+/Uwef+DC1Zcz 24xbOeGrr77CuhUVFZmP+vv7w9Drr7+uNB6J5cLCQhw6fPhw4/8mMDAQjs+e PRv/F14PTrPc4sQ241ZO2Lt3L2Yw3ixreHt7w9DChQuVxiOxDLtRgz7g9eBM y05rM27lhLy8PMywc+dOk6EffvgBhxISEpTGc7JlONOZlp3WZtzKCaDSw8PD 0PmRtclQRkYGxktLS1Maj8TykydP7lhg0KBBcEl0dDT+L5xJbplDm3Hr5+CH MwEBAcYftEK8iIgIQ+cTu27fvq00HollKzhh9cWhzbj1czIzMzHJpEmTzp49 C35hXw83ETwYGxurKFuLbsuwRWrqJCcnB1PBEguPwBAfy5ZwTptx6+fAPKM9 /Rbo3bu39ucRI0ZUVFSojmez2tpzeM0ZPXo0B8sc2ozbPA3ev/Hx8TA5a/G8 vLwiIyNhg++EeDarHRwcbMlySEiIzstNnu1La1nDhW3GdZ4MrmFigb3ViRMn +HRBdyEka2wnwDyhWCaBeUKxTALzhGKZBOYJxTIJzBOKZRKYJxTLJDBPKJZJ YJ5QLJPAPKFYJoF5QrFMAvOEYpkE5gnFMgnME4plEq4IRLjapDVcXRv3wdUm rcE8IcZz9cRsEbFMglgmgXlCsUwC84RimQTmCcUyCcwTimUSmCcUyyQwTyiW SWCeUCyTwDyhWCaBeUKxTALzhGKZBOYJxTIJzBOKZRKYJxTLJNibsLm5edq0 aePHj++ylR859lq23gW9sLAw0hYLFy4Uy1pjqCNHjqhLpWGvZetd0LVRKwwZ MqTbWt6zZ8+aNWvefPNNT09PhpZ1dkEvLS39lWUGDhzYzS1jv01jWFl2rAu6 MXV1ddhPA14q3dbyunXrVnQyd+5chpYd6IJuArY8gpnqwoUL3dayxtGjRxla 1nCs3xd8C3yuwYIFC/RfJZapcI7l2bNnGzq72v7jH/8Qyy3uaFnrtxYXF2eX YrFMhRMsT548Gc7/yU9+YtwXXSy7k+U///nPeH5iYqK9isUyFUott7W1YZ95 f3//5uZmsazhTpbT0tLw5C1btjigWCxToc5ya2ur9mHXP//5T7FsjNtYXrNm DZ75hz/8wTHFYpkKRZZhOY2fZ44ePVp/Z3u3t3z79u2bnRw8eBDLmJmZiUfU Nbpv0W3Z3i7oH330kfZadVix+1mGm5fBAiNGjFAdz2a17eqCfuU/n2eGhYU9 jWL3s2z+Qx+NkSNHqo5ns9p2dUGPiYnBoYKCArHMAXvvy05GLJMglklgnlAs k8A8oVgmgXlCsUwC84RimQTmCcUyCcwTimUSmCcUyyQwTyiWSWCeUCyTwDyh WCaBeUKxTALzhGKZhCsCEa42aQ1X18Z9cLVJazBPiPFcPTFbRCyTIJZJYJ5Q LJPAPKFYJoF5QrFMAvOEYpkE5gnFMgnME4plEpgnFMskME8olklgnlAsk8A8 oVgmgXlCsUwC84RimQR7E9bX11dXV6vLY4JYJkFPwoqKivXr14eHhwcGBnp4 eBgMBh8fn3HjxqWmpjY1NTkhnv6yW++C3iW1tbVvv/02XPXll192Z8tjxoyx 9DvgkyZNamhoUB1Pf9mtd0E3p7W1dfz48XjJ/PnzxXJISMiqVat2796dnp4e HR2N3VeAhIQE1fFsVltnF3QT2tvb3333Xe0V280tx8XFZWVlNTc3Gx8sKytD 0cHBwarj2ay2Y13QP/74YzgTe4yIZUu89dZbWJ9bt27RptLQadmBLug7duzA M2FqwheJWO4SmLexUHV1dbSpNOy9L+vs95Wbm4tz+8qVK3/8z1Qgls1pbGzE h1kMGjSIPJWGCstwr+nbty+cM2fOHFiTi2UrpKSkYD3hrk2eSoPcck1NDb44 Ybf18OFDPCiWu6SkpASXXvD18uXLKoIhtJZh3wTbfBgNCgoy7nkulru8ZNiw YVjMjIwMRcG070VlGfZNsNWCoX79+l26dMl4SCybcO3ateHDh2Mlk5KS1AVD CC0XFhbi0OHDhxv/N4GBgXB89uzZ+L/weujOlsvLyzXFsG1RGgwhtHz69GmD PuD10G0tFxcX42se2LRpk+pgiEssw5nd0zJsMH19fQ2dnxTt2rXLCcEQQstP njy5YwHYDMIlsP3H/9XfMdudLKempvbo0QPXLTk5Oc4JhpDvpLpEVl8FBQXa VLZhw4Y/dUV+fr7SeDarbW8XdLFsAszVNm9k6hqh67RsVxd0sWxOXl6eTcuj Ro1SGs9mte3qgm7p8piYmG5r2bXYe192MmKZBLFMAvOEYpkE5gnFMgnME4pl EpgnFMskME8olklgnlAsk8A8oVgmgXlCsUwC84RimQTmCcUyCcwTimUSmCcU yyRcEYhwtUlruLo27oOrTVqDeUKM5+qJ2SJimQSxTALzhGKZBOYJxTIJzBOK ZRKYJxTLJDBPKJZJYJ5QLJPAPKFYJoF5QrFMAvOEYpkE5gnFMgnME4plEpgn FMsk2JuwsbHx+vXrJp1X1WGv5fb29pqamkePHqkza4w7Wb5x48b27dtnzpwZ FBSE7Su9vLyGDh0aHx9fXl7uhHg2q/348eMdO3aMGTOmZ8+eEM/DwyMwMHDJ kiWQXCy36LOMzdC6pH///sXFxarjWS81nPbKK69okbROyABIP378uFjWbxne vMuXL09JScnOzoavEydOVN2IoEWf5blz52KSZcuWnTp1qq2t7cKFC8nJyb17 98bX4b1798SyzYRJSUnp6en37983PtjQ0DBhwgQsb2VlpdJ4Vur84MEDfPPO mzfPZCgtLQ3jHTlyRCw7nHDFihVYxtOnT9Om0rBp+dy5c5jh888/Nxk6f/48 Djnw2BGxrDFjxgy89929e5c2lYZNy62trd7e3tgLSOuEjOzfvx8t638ejVjW aGpqgtvfhx9+iDVMTExUlK1F33151qxZmCQ0NPTixYt4EIyHh4fDwcGDB2Or c7Gs8+SrV69OnTrVz88Pq9qrVy9QrHTvrMfyzZs3taUgEBkZuXfv3unTpxs6 +2DDSkyRYne1rN3pkPfee+/MmTNOiGez2nAm9tI0BtbYVVVV6hS7q2Uo2qef fhoXF/fOO+88//zzUElPT8+tW7eqjme91DU1Na+99hqEGTlyJISZMmWKJhpu 1iUlJWLZ4YTXr1+HnTJUskePHqWlpeTBEJuW4Rzs5/zyyy/DIlArfkxMDD6s EPZZJ0+eFMsOJ8zKysK3zLZt20hD/Reblrds2YIZ4F5sMrRz504cgr2AWHY4 oXabXrp0KW0qDZuW58+fjxnq6upMhtra2nx8fGBo4MCBYtnhhN988w1WeO3a tbSpNGxaXrBgAWbo8mNMvKfASlssW08I99+MjAyTjzcB2EDhbgXIzs5WGs9K nb/++mvMAH8wGaqtrYW9nqHzsSNi2XpC2CtBoYYMGbJu3br8/Pzq6mqYG+EP 06ZNw/KOHTtW3cN5bVq+du0aPtnK29t737592vEbN25MnjzZ0PlTyNzcXLGs x7IlfH19YauiOp71UmufZAIvvfRSVFQU+MV3MbB69WpFit3JMuxGExMTQ0ND TfzCeyQ2NhbmcyfEs1ntwsLCsLAwk4RwU/7222/VKXYnyxo3b94sKiqC3RO8 d86ePavuJxTG6LSMQMKCggJYRRw9erSyslL/w78cxv0suwS7LDsfsUyCWCaB eUKxTALzhGKZBOYJxTIJzBOKZRKYJxTLJDBPKJZJYJ5QLJPAPKFYJoF5QrFM AvOEYpkE5gmfIcuCIDzruHpGEQRBEARBEARBEARBEARBEARBEARBEARBEARB EARBEARBEARBEARBEARB+Df/H/2YeOs= "], {{0, 820}, {162, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{81., Automatic}, ImageSizeRaw->{162, 820}, PlotRange->{{0, 162}, {0, 820}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.779626426173106*^9, 3.779626436402487*^9}, 3.780051245617824*^9, 3.780052570173718*^9, 3.7800541882212152`*^9}, CellLabel->"Out[7]=", CellID->377214241] }, Open ]], Cell["\<\ Again, replacing the integer values with strings produces tabular form:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.7796264705014143`*^9, 3.779626512194168*^9}, 3.780052774186667*^9}, CellID->690081463], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CrossTabulate", "[", RowBox[{"iiPairs", "/.", RowBox[{"x_Integer", ":>", RowBox[{"ToString", "[", "x", "]"}]}]}], "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.778692061930134*^9, 3.778692147722108*^9}, { 3.778692484712297*^9, 3.7786924957916327`*^9}, {3.778693274679731*^9, 3.7786932969871597`*^9}, {3.7786933350601892`*^9, 3.778693385806788*^9}, 3.778693887994705*^9, {3.778697362591525*^9, 3.7786974105413933`*^9}, 3.7786974577120943`*^9, 3.779626417645155*^9}, CellLabel->"In[8]:=", CellID->744405791], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnQlUFFe6x1tRcYg7HheOC04c16PmmByMUXOMimOcMHHEZ6KiJuPTxA2M u0YdkRjRQWMcNbhEXJiRxaiDohPcEZewDTC4PEYMgiAoaw5qwiLve/2d1Cu7 7aZu3aruupnvd87kaN9bfX/9Vf2r7u0up7r9MWD8rIYmk2lRU/jP+A+XvbVw 4YcrfFvBX/7Lf9Hsj/xn/vfb/otnfjRz4et/dIEXOzQwmVzhf//35zqCIJ7n fwiCIAhCAT8YCQMqySE9HoTQM6CkAZXkkB4PQugZUNKASnJIjwch9AwoaUAl OaTHgxB6BpQ0oJIc0uNBCD0DShpQSQ7p8SCEngElDagkh/R4EELPgJIGVJJD ejwIoWdASQMqySE9HoTQM6CkAZXkkB4PQugZUNKASnJIjwch9AwoaUAlOaTH gxB6BpQ0oJIc0uNBCD0DShpQSQ7p8SCEngElDagkh/R4EELPgJIGVJJDejwI oWdASQMqySE9HoTQM6CkAZXkkB4PQugZUJJVqbS0FPoXFRXppyTHgBWTw6QH pbt79+6tW7eMWb3y8vKcnJybN2/m5uaWlZXpKob8AkLx7bffrlu37uOPP55l ZuXKlfv374cdbRA9pKSkZOnSpQsXLvzuu+90k/p/lOilp6eHhYWB1UcffTTr ZxYsWBAREaF3OpToQYfDhw9/+umn0p4FQPXLL7/MyMhwgJ6goaioqPjb3/42 60UEBwfrumdZK3bkyBEUi4+P189KQokexOGFpQOWLVtWWFjoXL1NmzbZ0oOY JCYm6q0naCiuXr2KVfL39z9+/HhKSkpcXNyf/vQnfHHfvn3O1QOOHTsGGqtX r5Z2qNFCAafiyMjIixcvnjlzZtu2bfPmzUPPnTt3OlcPQ7F48eLw8PCzZ88m JyeDYWBgIOoFBATAKVFXPUFD8cUXX+AlNSkpSXrx/v37UEl4ff78+TBpcaIe AA4WZznjhALSevnyZZixW2w4e/ZsrJ7eR539PlFRUXCKs5gGww6VzjD6HbHi hiIvLw8nwxs3brRogvMz1u3ChQvO0pNMIszATNhoobAF1BNVYXmrrZUEjx5k GfVSU1O1tZIQNxSwYsXiREdHWzT961//wqaDBw86S88CaaYnUCjy8/O1tZJQ rVdWVobTYzgfPnjwQHMxRNxQnDt3DvddQkKCRRNcZLFpx44dztKzQJRQFBUV 4ZQPFheaW0mo0IMIwGRvy5YtWMa//vWvOrn9IHIoYGWN9YElmHUrzqyCg4Od pWeBKKGAmTx67t27V3MrCSa9O3furFixQv7V0+HDhy2WQnroiRiK8PBwrBJM lqxb/f39oQkWZc7Ss0CIUMDpBU8mc+bMyc7O1kMMYdLLzMyUf1MB0yfruYEe eiKG4sCBA1glKJp1K4YCCugsPQuMH4qbN29i0YC4uDidxBAmPVjawLLx0KFD X375JX4zputq8QeRQ/HNN9/Y+RYCfwb9/PPPnaVngcFDcfv27YCAADSEyYl+ Yojq4+3+/fvLly9Hz/T0dM3FEHFDAWczLM7169ctmkpLS7HpL3/5i7P0LDBy KDIyMqREwKRUVzGE53i7cOECqh47dkxbKwlxQ3Ht2jUsTkxMjEUTnPewaf/+ /c7Ss8Cwofjuu+/mzp2LbkePHtVbDOE53iDCaLtr1y5trSTEDQWsBLE4X3zx hUVTbGwsNp06dcpZehYYMxRwtcV5Jqyvv/32WweIITzH28WLF7GSERER2lpJ iBsKYP369fhVibxncXHxmjVr4HVYlOn9+47y/kYLRXl5uXQv5bx58+Cy6wAr iXr1cnJy4LJlvftKSkpWrVqF2vp9ByV0KM6cOYP1WbFiBRx1+fn5sPjCG6KA 7du3O1fvB/Pl7LYZmONJM2F85e7du07Ug4XYrJ/Zt2/fty9Cv/zWq/fPf/4T T3dhYWFwabh161ZWVta5c+ekHyw+/fRTOPvpqidoKOC8IUXAguXLlzv3qEOs bwiUWLRokRP1pCuXHfQzVBgKW8Cl7ebNmzq5/SB4KH4wTwNgNS3d8DzLPD3e uHGjfvftMOktWLDA1p5dunSpE/WkO8fssGzZMmfpFRYWRkdHy2+5lwgNDb1/ /75OYnI9cUOBQDTg8gqX+4yMDP2uqnIMWDE5vxg9SAfMneC6dvnyZZhzOnLn GrCGBlSSQ3o8CKFnQEkDKskhPR6E0DOgpAGV5JAeD0LoGVDSgEpySI8HIfQM KGlAJTmkx4MQegaUNKCSHNLjQQg9A0oaUEkO6fEghJ4BJQ2oJIf0eBBCz4CS BlSSQ3o8CKFnQEkDKskhPR6E0DOgpAGV5JAeD0LoEQRBEIQSnH3Veg5UqjMq pMeDEHoUClZIjwch9CgUrJAeD0LoUShYIT0ehNCjULBCejwIoUehYIX0eBBC j0LBCunxIIQehYIV0uNBCD0KBSukx4MQehQKVkiPByH0KBSskB4PQuhRKFgh PR6E0KNQsEJ6PAihR6FghfR4EEKPQsEK6fEghJ66UBQUFOgRB4S1bs+ePYOt 9CuUBULsVp3evKampri4GAqu+h101autrc3Pz3/69Knqd1ARihMnTowbN65L ly4mk6l169YjR47ctGmTs0IBuyY0NHTIkCEtWrQAn3bt2o0YMeL06dOqC8JU N+X9wdPb29vLyysxMdG6NSEhwbs+pk6d6iw9oKSkZO/evWPHju3WrVujRo2g 1I0bN/b09FyyZMm9e/eUD6STHlBVVbVjx46+ffs2adIE9Bo0aODh4TFjxoyc nBx1espDAUcg1sSCadOmlZWVOTgUjx49evPNN61lgOnTp7OWQkXdlPePiopC sX/84x92Wu3QuXNnZ+kB48ePtyXm7u5+48YN5WPpoQcHzCuvvCIpyQ9RyMjZ s2dV6CkMxcWLF3Ggtm3bBgUFgeH27dtfe+01fHH16tUODoWvry8O7ePjA1eH 9PT0gwcPdu3aFV88dOgQUylU1K3ebpGRkcHBwaDn4uJiZ7empqbaeXhKhw4d dAqFQr26n0MBl4bFixeHhYXBYQb/HTx4MG4F52flbnroTZgwATvMnTs3Pj6+ uroaDgY4RN3c3ODFNm3awPmTVU9hKD788EOT+boZFxcnvQhXz1//+tfwOhyN FRUVDgtFTEwM1sHPz0/+Okx3IbPwevv27eHipbwUTCjcrTjJlGNrt9qiqKio WbNmGHwn6m3YsAFOOHCwyV+EGcugQYNwQ/B0lt7jx4/x0jBx4kSLJpjY4IZH jx5l1VMSisLCwubNm8P7w8TSomnz5s04NCw3HBaKhQsX4qDWc9pdu3Zh0549 e5SXggmFuzUkJGSlmUmTJqkLxZw5c2Crhg0bwqnPgHqwLW4IFztn6SUlJWEr 9LRoSklJwaaNGzey6ikJxblz5/D9169fb9EkWa1YscJhoRg1ahSM2KpVK+um 3Nxc9IFLm/JSMME6K5ZmnkxHHQyB58ApU6YYUA8YM2YMbOXq6sr0bY+2epWV lU2bNoXW3r17P3nyRN4UHh6OG9pZodvSUxKKw4cP4/vDvMW6FeZU0ASLfYeF ApfYMLWw/m6wtrYWfUaPHq28FEw45qjDmTx8lrt37xpKDyoMJ2F/f3/cCmbv ztWD2Qt26NevX0ZGBr4IARk6dCi82KlTJ6YvkJWHYtu2bTjuhQsXrFtbt25t Ms97HRaKgIAA9MnMzLRuhTpAk5eXl/JSMOGAUFy9ehU3mTdvnnH0CgoK4BoN S1fsD6doSATrbxaa6+Xl5cG+Nv2Mt7f3gQMHRowYYTIvdZlmnnUsoVi1ahWO CJMl61Y8CGHZ5bBQSFdGODlYLKiTk5NxrT1s2DCmarDWTXl/FaEYMmQI9H/p pZdgNWccPXhbkwxY27IecjrpwTHTsWNH0/O4ubmp/hlFSSiWLl2KA8GSyroV vwh1ZCiqq6vhhIBKLVu2nDZtGhh+8MEHAwYMkGry/vvvsxaEqW7K+7OG4tix Y9gfzkWG0istLV2zZs3ChQt9fX3xC08XF5fQ0FDn6uXn5+P3wz179ty6dSuc DKVjABYacJJUoackFH/+859xlCtXrli3uru7Q9Nvf/tbh4UCKC8vx0mjBXjZ ApYvX85UDda6Ke/PFArIe69evUzm38UqKiqMpidRXFzct29fk/kHsqysLGfp wdHi4eEBrf3793/48KE0hJ+fX4MGDUzm3/IuXbrEqqckFDBJQzH5jxQSuPyf OnWqI0OBnD9/ftGiRe+9996ECRPgYhEVFQXXMlRlPYOx1k15f6ajTvp2ffPm zQbUkyP9WrR7925n6Um/CMAhatEEVtgE6yBWPSWhOH36tPTxLZr+/e9/YxNc VR0fCmuk7wRg+aPuHepFv6OusrJS+gn7xx9/NJqe9UC44YIFC5ylN3nyZGy1 /gERrrl4UxyUlFVPSSjgyMeLEczeLZrCwsKkM7PTQwGLbjyoRo4cqWJzheh3 1AUGBmLPr7/+2oB6Fpw5cwY33LRpk7P0pkyZgq0vvJcDJ6Kw5mXVUxIKAH8v a9u2bXZ2tvQiTHrh8DOZfzJ48OCBc0Px+PFj6TaY+Ph41s2Vo9NRV1hYiDd1 wPKwpqbGIHqwdoiIiLC4x6POfPPq6NGjcUOmm+601duyZQu2wh8smgoKClxd XaFp/PjxrHoKQ3Hw4EEc/Y033rh27RrEAZZXeB+CyXxjqlaJUBgKiEB4eDhc NOH4AZPDhw+//PLLKGN9G4y2KNytMBcqN3PixAkUi46Oxlegybr/7NmzsRvT vTp666Wnp+PJNiQk5MqVK3AtfvLkCd7ujlsNHDiwqqrKWXp37tzBMwksbOV3 gebk5ODX2jDDiY2NZdVTGIrS0lLpxlST+Utg6c89evS4efOmg0Mh3c4hp2HD huvWreP5JzDK61ZvN+mWXWvgWmD9nnhTx6BBgwylh6GwRevWrW/duuVEvTrZ j1ZA9+7dfXx8IA54jTCZ799WoacwFD+YJ0sBAQEYTAT2I5wx7t27p2Ei1IWi Xbt2Y8aMiYuLY6qAOhTuVk9PT1u7tU+fPhad/fz8sOn8+fOG0oPdERQUJP8H Cwicf2bOnMl0V7YeeghcuaRbdiVgQXHy5El1espDIUUjOTn5wIED586de/jw obZxUB6K2tpa0Dh+/PipU6fy8/NZPzsP6pY8DkMnPZi3pKWlxcTEfPPNNxkZ Gar/yad+1cvLy4NTSlhYGBwSsPKFI0TFm6gLhQP4zzzqtIL0eKBQqIP0eBBC j0LBCunxIIQehYIV0uNBCD0KBSukx4MQehQKVkiPByH0KBSskB4PQuhRKFgh PR6E0KNQsEJ6PAihR6FghfR4EEKPQsEK6fEghB6FghXS40EIPYIgCIJQgrNn TM+BSs6+kNqE9HgQQo9CwQrp8SCEHoWCFdLjQQg9CgUrpMeDEHoUClZIjwch 9CgUrJAeD0LoUShYIT0ehNCjULBCejwIoUehYIX0eBBCj0LBCunxIIQehYIV 0uNBCD0KBSukx4MQehQKVkiPByH0KBSskB4PQuhRKFghPR6E0KNQsMKqV1tb m5+fr/r/ppuVX1j1HIzqUFRUVLz11luvvvrqhQsXjBCKZ8+eeXt7e3l5JSYm atvZTt3q7VZVVbVjx46+ffs2adLEZH6kjoeHx4wZM3JyctSNq62ehIqCFBQU vPPOO7DVxo0bna6XnZ3tbZedO3ey6qkIhfQE4aNHjxohFFFRUeij5FGGTJ3t 1M1+H/gU8ged4FOKEMgI00Pi9NCTw1qQyspKOB/iJpMnT3a6XkpKiq3HuyBz 585l1VMeiv379wcGBr799tsNGzY0QigiIyODg4N9fHxcXFzq3a1MnZXUzX4f 6ZGUsEfi4+Orq6vT09ODgoLwsWht2rRR8QwgDfXq1BYEpoLvvvuudLzpFwrl elIohg8fPutFREREsOopD0WnTp0sMujcUHTp0sXCx85uZeqspG52Ojx+/Bgv DdaPpJSeHc/5tEcePURdQT755BOT7MKnXyiU60mhYDr47espD8Vnn322yIx0 GnRuKEJCQlaamTRpUr27lamzkrrZ6ZCUlIRDwHAWTdIeVDEb10oPUVEQWCJh z127duFBq18olOs5NxQSp06dMkIoJJgej676WeoWdbPTAWbdTZs2NZmf4/nk yRN5k/QoT9XLfH49CxQWJDY2FmcyS5Ysqfv5TO6ANUW9ehQKdXVT3dlO3ez3 GTt2LI7Sr1+/jIwMfBECMnToUHgRJqL6PddYj+qlpaU1b94c+vj6+qK5AUMB U9Pc3Nz79+/DCo7VykKPQqGubvb75OXleXl5mX7G29v7wIEDI0aMMJkf1A6L bnVDa6Unp96C5Ofn43ISPpF04TNgKCQaNGjQvn37+fPnZ2VlqdOjUKirW73d 4IN07NjRYn+5ubndu3dP3bja6knYLwhMBQcOHIhZLiwslF43cigkYBKbkJCg Qo9CwYoSPTi7Dh48GEbp2bPn1q1bhw0bJu0pWGgkJyerG1orPTl2ClJbW+vj 4wNNLVu2zMzMlDcZJxRFRUXBwcEnTpxISkqCd75+/fr+/fux+IC7uzvTY9Yp FMqHsK6bnQ7wETw8PGCI/v37P3z4UNrKz88Pruwm81ealy5dUjc6v54FdgoC p1lsio6OLnse/IDjx4/Hvyp/kruuO1fO1KlTccPw8HDlW1EolA9hXTc7HTZv 3oxDwDrComn37t3YNGrUKHWj8+tZYKcgly9ftjUzsUD5LMVhobh9+zZuuGDB AuVbUSiUD2FdNzsdYFKBQ8CV3aKpurq6RYsW0NShQwd1o/PrWaBJKKCn4/Xs 8/TpU9yQaY5HoVA+hHXd7HSYMmUKDvHCezl69eplMq9b1Y3Or2eBnYLU1NQU 2gC/Qxg3bhz+FXo6Xs8+aWlpuOHatWuVb0WhUD6Edd3sdNiyZQsOAX+waCoo KHB1dTWZZ+PqRufXs0BdQYyz0IaD8IW35UOFcUNYg7PqKQ/FgwcP8sxERkbi cAcPHsRXoMnxoaisrCw3A58afWA9iK9AE09nJXWz0+HOnTvNmjUzmb8SPHTo kPR6Tk7OkCFDTOYv0mNjY5kG1VAP4SyI3qFQrte8efN27doFBgZeunSppKTk p59+Sk1N/d3vfodbvf7668q/BKhjD0Xnzp1tTSl79Ojh+FDADMSWT+/evXk6 K6mb/T7S7RxA9+7dfXx8IA54jQBWr17NNKLmenXcBdE7FMr18Kd2Cfx+D2nb tu2NGzdU6CkPhfWNixI9e/Z0fCg8PT1t+fTp04ens5K61dstISFh0KBBFmPB guLkyZNMw7GiR/Vsbe7n5+d0vQ0bNsj/6QrSqFGj6dOnFxcXq9NTsabQG9Zp p4Nh0oO55fnz58PCwmAhlp2dzXQpV8cvqXrKefToUUpKSkxMzJEjRzIzM2ES pe59KBTqID0ehNCjULBCejwIoUehYIX0eBBCj0LBCunxIIQehYIV0uNBCD0K BSukx4MQehQKVkiPByH0KBSskB4PQuhRKFghPR6E0KNQsEJ6PAihR6FghfR4 EEKPQsEK6fEghB5BEARBKMHZM6bnQCVnX0htQno8CKFHoWCF9HgQQo9CwQrp 8SCEHoWCFdLjQQg9CgUrpMeDEHoUClZIjwch9CgUrJAeD0LoUShYIT0ehNCj ULBCejwIoUehYIX0eBBCj0LBCunxIIQehYIV0uNBCD0KBSukx4MQehQKVkiP ByH0KBSskB4PQuipCEVxcXFubq5OifhB51DU1NSA/7Nnz1S/gxC71dkWNmHV gz0Fh4R+PhYwheLmzZvr168fOnSoh4cHPhejRYsWAwcO/Oqrr8rLy50bCqib t7e3l5dXYmLiCzuUlJTs3bt37Nix3bp1a9SoEcg3btzY09NzyZIlKh71rkQv Ozvb2y47d+5kHVdDPTn1Vk/bz6JQD6xCQ0OHDBmCz81s167diBEjTp8+rXwg dTCFom/fvrYeovHGG2/AUefEUERFRaGJrceiSY8/s8bd3V3dw27s90lJSbE1 IjJ37lymQbXVk1Nv9bT9LEr0Hj169Oabb75wrOnTpysfSwUqQtGnT5+lS5fu 27dv165d48aNwye7AQsXLnR8KCIjI4ODg318fFxcXJSEAi4NixcvDgsLO3v2 LPx38ODBuBV8NBV1s99HOpCGDx8+60VEREQwDaqtXh1L9bT9LEr0fH19cUTQ g6tDenr6wYMHpQd+yR8jqDlMoZg3bx589oqKCvmLaWlpmAs43hwfCuvHjdna rRs2bICqVldXy1+sqqqSHr9l/cDreutmv490IOl38NtC8+pp+1nq1YuJicHh LJ4dBivBtm3bwuvt27cvKyvjN7GjpzAUtpAeQ3n//n0HhyIkJGSlmUmTJtnf rbaAbXHD1NRU1rrZ72P8UCivnoNDAbMOHM56uQfzE2zas2cPv4kdPc5QwCRK Otk6OBQSqh+NPWbMGNjK1dX1hQ9itl83+32MHwqJeqvn4FCMGjUKxmrVqpV1 U25uLpp8+OGH/CZ29HhCAVexTp06gWTHjh21SoQDQlFbWws72t/fH7cKCgpS UTf7faQDKTQ0FHYlXEYtJm/6oV8oNPks9erhEhum5dZfm8OOa9y4MbSOHj1a tYASPZ5Q7Ny5E8sFKw4hQlFQUAAnojZt2mD/pk2bQiJYf7NgCoVEgwYNYDI8 f/78rKwspuFY0S8UmnyWevUCAgJwlMzMTOtWPAl7eXmxjsukpzoUycnJuMqG /966dUuIUMDbynfuxIkT09PT1dXNfh87X2NCEhMSElgH1VZPjopQ8HyWevXC w8Pxzfv162exoIZDDtfaw4YNYxqUVU9dKGCTbt26oXxYWJiGidA1FKWlpWvW rIGlnK+vr5ubG2zi4uICswIVdbPfB1ZYwcHBJ06cSEpKgs7Xr1/fv3+/9CWw u7t7fn4+06Da6smpt3rafpZ69WBu5u3tjW/esmXLadOmLV269IMPPhgwYIAU xvfff1/5iEyoDsWdO3d+85vfoN7atWu1TYSuoZBTXFyMP740adKEaRrAqidn 6tSpqArnQ3XvUC+OqV6d2s+iRK+8vHzo0KHWFyacOwHLly9nUmXVYw3FjRs3 pESsXLlS80Q4LBR1sq/Ed+/ezVo3poEkbt++jSMuWLBA3TvUi8Oqp+6zKNc7 f/78okWL3nvvvQkTJsDFIioqKjU1FUdkvbiz6jGFIjEx0cPDA8U2bdqkRyIc GQppiaHTbrXm6dOnOOLkyZPVvUO9OKx66j4LT/W2bduGI8JETt071AtrKGJj Y1u1agVKjRo12rNnj06JcGQozpw5IwWctW5MA0mkpaVJ005171AvDqueus+i unqw6O7QoQMMN3LkSBWbK4QpFF999RV+RQxrH1hz6ZcIzUMBa4eIiAjrr9af PXs2evRo3PDs2bOsdbPf5+jRoy/8QVC6NRFqqHxEJjQPhbafRV0oHj9+DJMo HC4+Pp51c+UoDwXM7qTFzueff/7Ni4iLi3NwKCorK8vNwE5Bt+joaHwFmqRu 6enp0NS1a9eQkJArV67ACefJkycJCQnSVxwDBw6sqqpirZv9Ps2bN2/Xrl1g YOClS5dKSkp++uknmA9Lt8S8/vrrtbW1ykdkQtvqaf5ZlOhBBGDxXlRUVFNT k5WVdfjw4ZdffhmHmzhxovKxVKA8FDBxMtVHjx49HBwK6bZJa3r37i11w1DY onXr1rdu3VJRN/t94ECSj4L/AgVp27Yt683qmuvVKa5endafRYmedDuHnIYN G65bt47nX4cp11MSitOnT9s5rpBevXo5OBSenp62ZPr06SN1gzcMCgp65ZVX rIs8c+bMR48eqaub/T4bNmywHhHWYtOnT4fpHOuImuvVKa5endafRUUo4Do1 ZswYmIqwjqUCpjWFI+FZydoBJgawNoyJiYHJXkZGBtNNgHKU60HiUlJSYMQj R45kZmbCxEPdiEzoVD2tPosSPZiPJScnHz9+/NSpU/r9yvlC/tNCoRWkx4MQ ehQKVkiPByH0KBSskB4PQuhRKFghPR6E0KNQsEJ6PAihR6FghfR4EEKPQsEK 6fEghB6FghXS40EIPQoFK6THgxB6FApWSI8HIfQoFKyQHg9C6FEoWCE9HoTQ IwiCIAglOHvG9Byo5OwLqU1Ijwch9CgUrJAeD0LoUShYIT0ehNCjULBCejwI oUehYIX0eBBCj0LBCunxIIQehYIV0uNBCD0KBSukx4MQehQKVkiPByH0KBSs kB4PQuhRKFghPR6E0KNQsEJ6PAihR6FghfR4EEKPQsEK6fEghB6FghXS40EI PRWhKCsr+/777ysqKigUBuQXpldbW5ufn6/6/yKeFaZQ5OTkbN++ffTo0V27 dnVxccEnFHTp0iUgIODGjRvODcWzZ8+8vb29vLwSExMVblJQUPDOO+/AVhs3 blRXN6308JlK9pk6daqz9F6IA6pXVVW1Y8eOvn37NmnSxGR+UoyHh8eMGTPg OGQdUYWewlD4+PjYesZHmzZtoJ5ODEVUVBSaKHyUYWVl5auvvoqbqHhKqbZ6 UqsdOnfu7Cw9axxQPTgG5I+JgdOv9GfICNMDCtXpMYUCLg3+/v47d+6MiYmB /8LpBVU1fIyR8lBERkYGBweDGF65FO5WuBy/++67UpH1C4VCvdTU1Fm2weeB 6hEKI1dPeubj3Llz4+Pjq6ur09PTg4KC3Nzc8CSs4vlTTHoKQ7F27dpdu3aV lpbKXywpKXnttdfQPzs728GhgIRanFGV7NZPPvlEfvLRLxTq9OQUFRU1a9YM NoRD1yB6Dqje48eP8f2tn/kYGhqK4x49epR1XCY9haGwxaJFi9Dz8uXLDg5F SEjISjOTJk1SuFthmoo9IeB4VOgXChV6FsyZM8dkfjYfnCeNoOeY6iUlJeEo 4GbRlJKSgk0q1jJMepyhGDVqlMk803v48KGDQyGh8PHosbGxOFVYsmRJ3c+n SgesKdQ9vR2GwBPmlClTjKDnsOrBmqVp06Ym80Nanzx5Im8KDw9HVeXfCajT UxeK8vJymOx9/PHHKLlq1SqtEqFTKNLS0vDRt76+vvjYWYOHAh/d3rhx47t3 7zpdz8HVGzt2LCr169cvIyMDX4SADB06FF7s1KmTfg8OVheKrKys4cOHt27d GrVdXV0hEdr+ZqH5bs3Pz4dKQgcvLy/p5GPkUFy9ehU3mTdvntP1HF+9vLw8 6TscwNvb+8CBAyNGjIA/d+3alWkyqU6PNRTSvA75wx/+AHtQw0RoHgq4HA8c OBDrWVhYKL1u5FAMGTIE+r/00ktyYafoOat6cBh07NjR9Dxubm737t1jHVGF HmsowGrZsmVwBvv973//q1/9ymReCW7dutWYoaitrcUvk1u2bJmZmSlvMmwo jh07Jk1KWd201XNW9eDaNHjwYHj/nj17wqE1bNgwKRew0EhOTmYdlFVP3ZoC +f7773v16oVT39TUVAOGIiEhAZuio6PLnsfDwwNeh6k7/hUOAKa6aaJnTXV1 NZbU3d0dJqXKR9FDzynVgwMA37x///4PHz6UtvLz82vQoIHJ/IXwpUuXlH9A JvhDAURERGDdtm3bZsBQXL582aQMOACY6qaJnjXSV/GbN29WPoROek6pHnxw fE9YR1g07d69G5tGjRql/AMyoUkopCXGnDlzhA4F9GSqmyZ6FsAEXvoJ+8cf f1Q+hE56TqkeTMnwPYuKiiya4DLaokULaIIqKf+ATGgSir///e/4EdatW2fA UNTU1BTaANdx48aNw79CT6a6aaJnQWBgIPb8+uuvlb+/fnpOqd6UKVPQ54X3 cuDcElb9CodjRXkoYO0QFhZmcY8HAJNe/KIMiImJMWAo7GC0hTYcWnhTB6wl lR9jDtOzQL/qbdmyBX3gDxZNBQUFrq6uJvNahnVcJj0locCvzeGa/tlnn8XF xeXm5sKlDf7w1ltvof+AAQNKSkocHAqYbJSbOXHiBGrAehBfgaZ6N9c7FKx6 s2fPxm6cN/aIXr07d+7gyaFp06aHDh2SXs/JycFvqmG5HRsbyzouk57yUNii VatWycnJWiVCeSjgGmpLCU629W6udyiY9P7n55s6Bg0axOrjAD1rdK2edDsH 0L17dx8fH4gDXiOA1atXsw7KqqckFPn5+atWrerXr59F9SCz06dPh8mVholQ HgpPT09bu7VPnz4KN/fz81NXN231QAObzp8/z+rjAD1bm+tXvYSEBDg/WIjB guLkyZOsI6rQUxIKiby8vCtXrkRERECWr127puFNgCpC4SxIjwcmPTje4CwB 69lTp05lZ2cr/zVENSpC4Rh+SbvV8ZAeDxQKdZAeD0LoUShYIT0ehNCjULBC ejwIoUehYIX0eBBCj0LBCunxIIQehYIV0uNBCD0KBSukx4MQehQKVkiPByH0 KBSskB4PQuhRKFghPR6E0KNQsEJ6PAihRxAEQRD2cfb1iiAIgiAIgiAIgiAI giAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAI giAIgiAIgiAIgiAIXv4XavydDg== "], {{0, 280}, {263, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{131.5, Automatic}, ImageSizeRaw->{263, 280}, PlotRange->{{0, 263}, {0, 280}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.778697376085471*^9, 3.778697411039527*^9}, 3.778697458216703*^9, 3.778697504925144*^9, 3.778765295997925*^9, 3.779622993967658*^9, 3.7796263785723753`*^9, {3.779626418821722*^9, 3.77962643958571*^9}, 3.7800512457158117`*^9, 3.7800525702919407`*^9, 3.78005418833309*^9}, CellLabel->"Out[8]=", CellID->26962584] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Neat Examples", "Subsection", TaggingRules->{}, CellID->461278909], Cell["\<\ Here is a grid of contingency tables showing various breakdown perspectives \ of the Titanic data:\ \>", "Text", TaggingRules->{}, CellChangeTimes->{{3.779629897673163*^9, 3.779629940085998*^9}}, CellID->935205926], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"titanic", "=", RowBox[{"ExampleData", "[", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}], "]"}]}], ";"}], "\n", RowBox[{ RowBox[{"columnNames", "=", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"res", "=", RowBox[{"Outer", "[", RowBox[{ RowBox[{ RowBox[{"If", "[", RowBox[{ RowBox[{"#1", "\[Equal]", "#2"}], ",", "\"\<\>\"", ",", RowBox[{"CrossTabulate", "[", RowBox[{"titanic", "[", RowBox[{"All", ",", RowBox[{"{", RowBox[{"#1", ",", "#2"}], "}"}]}], "]"}], "]"}]}], "]"}], "&"}], ",", "columnNames", ",", "columnNames"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Grid", "[", RowBox[{ RowBox[{"Prepend", "[", RowBox[{ RowBox[{"MapThread", "[", RowBox[{"Prepend", ",", RowBox[{"{", RowBox[{"res", ",", "columnNames"}], "}"}]}], "]"}], ",", RowBox[{"Prepend", "[", RowBox[{"columnNames", ",", "\"\<\>\""}], "]"}]}], "]"}], ",", RowBox[{"Dividers", "\[Rule]", "All"}]}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.780052677018813*^9, 3.780052692433425*^9}}, CellLabel->"In[1]:=", CellID->328998831], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsnQd0FFX7hzdAKAqC9CpVpTcRBIyUL4jgByigCNIN0iF0kSJFivQSJKBU AyGEmtBDk9BCAhJKQIQkBIiEJCSBAKGF//vfe7zfOLs7O5vc3cxmfs85etg7 79y5771zM8/sTqnYd3jHb3MYDIZReel/HfuMazFyZJ/xnQrRhy+GjRrYf1g/ jzbDRvfr32/kB31zUmF9+t8z+u////0KAAAAAAAAkE0xAAAAAAAAAAAAAAAA AADACcnqXxiAzWDgABAFZhMAzghmLgBWge07NRg4AESB2QSAM4KZC4BVYPtO DQYOAFFgNgHgjGDmAmAV2L5Tg4EDQBSYTQA4I5i5AFgFtu/UYOAAEAVmEwDO CGYuAFaB7Ts1GDgARIHZBIAzgpkLgFVg+04NBg4AUWA2aRYvL686Jly+fDmr 2wU0AWauUxAeHt6hQ4fWrVufPHkyq9vyP+7du8f+nhw4cCCr22JfYPtODQYO AFFgNmmW0aNHG0wIDQ3N6nYBTYCZ6xT897//ZSPVuHHjrG7L/4iNjWWt2rx5 c1a3xb7A9p0aDBwAosBs0ixRUVEn/sHb2xu2D6Rg5joFX3zxBRup999/P6vb 8j9g+8ApwMABIArMJqeAhB+2D6Rg5joFf/75Z9++fXv27Hnu3Lmsbsv/gO0D pwADB4AoMJucAtg+kIGZCzIMbB84BRg4B5Oenk5/HE6fPn3x4sVnz56pWeXB gwcUf/36dVrX3s0DmQGzKQt5+vQpzamzZ8/SP5QjbbX9+/fvnz9//tSpU/Hx 8VaDU1NTIyIiaBNxcXFWgzPw1wDYA53MXIftb1T5X3/9FRwcfOnSpefPn9tv QwKx6Th7+/ZtCn706BH9+++//4btA+2DgXMY9+7dGzRo0BtvvMHni6ura61a tRYuXPj48WOzq/j4+Lz77rsuLi4s/vXXX+/SpYvMIuhvadWqVQsWLNigQYMn T55IF9Gf9KJFi9KicePG2TEx8A+YTY6HDs3r1q2rXr16rly5WP/nzp37vffe 27Rpk6VVVNp+UlLS3Llz69WrxycgUapUqQ0bNpiN37p16/vvvy89IBYvXrxz 5850AmIanIG/BsB+ZPuZq35/8/DwoEOGm5ubaSXffPMNLXJ3d5eV79ixg8rb tWtH/6ZjEB1u3nzzTb4hOgYlJye/Mh6PChrZuXOn2UZSC2lpo0aNeMl//vOf guaYPXu26epff/01LWrSpInZym/evEmtooDt27fLFqk5znKWLl1apkwZFpkz Z86PPvro+PHjsH2gfTBwjiE1NZUMhPV2iRIlGjduTIrO/aR06dIPHjyQxqel pbVt25YtzZMnT82aNcuWLcv/eNKfTWnwrl272KLBgwfzwqdPn9apU4cKq1Sp 8vDhQwflqW8wmxwMHZEbNmzID0CvvfZakSJF+Me+ffuaXUuN7e/du1dqLIUK FZKa0pw5c2Txvr6+zBZIAGrXrv3BBx9IWzJv3jxpsK1/DYC9yd4z16b9rWvX rlRYt25d03q++uorWkT7tqyczn+pvH79+nTi0KpVK8O/qVSpEgujE3PaLpV8 8sknppWnpKSQZtNSOsXmhdQMgzmmTJliWgPNQbb09OnTpksnTpxIi2hWSr8T s+k4+/Lly88++4y3oUCBAjly5KB/8NME2D7QMhg4x7Bx40bW1YsWLaI/GqyQ hHzt2rUVKlSYOnWqLJ4/MHDMmDHc1U+dOkXqToWmX7x4enqy+ICAAFYybtw4 g/ELnDNnztgzM/A/MJscCckDaQPr89atW9Ohmc2syMjIb775hgp//vlnsyuq sf0rV66QDlWsWHHFihU3btxghcHBwTRb2YFe9tXfO++8Q+XVq1e/desWL7x2 7VqPHj3KlClz9+5dabCtfw2AvcneM9em/S3Dtl+qVCl3d3f6R40aNXx8fGif p01cunQpKCiIRy5dupTpMU1SWSVeXl60KG/evAkJCbyQZtntf8NOus3a/rNn z6gNtLR3796yRc+fP2eL6HgqLbfpOLts2TIWXKdOnT/++IP+/tAqq1atKliw IGwfaB8MnGOYMGEC6+rExETZIvrzK7tQkCSEfWkg+9NEhISEsG8Sjh49Ki2n v6v16tUzGL+6ob+WVEPOnDnp46xZs+yRDjALZpMj4Q/S9PDwMF1KmmFpRZVX 8pw+fdr02mZSF7buli1beCHNPjZhpT+ucV68eCErsemvAXAA2Xvm2rS/Zdj2 GR06dGBXs5vlwYMHdKZMYd99951sUc2aNam8V69eyrkUKlTIku0TP/zwAy3N ly/f/fv3peU0W9lZBj9zf2XjcTY5OZltms6PZAmGh4fD9oH2wcA5hgMHDrCu pr+iO3bsSEtLUwiePn26wXhZgtkreKtVq0ZLly5dKiv/888/8+fPT4s+/fRT 9pezRYsW/Jsc4AAwmxxJ+/bt2eltSkqKTStm7Jk8JO2kCocOHWLrzpw5U7q0 SZMmVJgrV67x48dfv35duSqb/hoAB5C9Z65N+1tmbL927dpWd2Y6IzYYb2mR 3k3PL30nzVZeXdn2Y2NjXV1dDcZfMaTl7EeHNm3aSAttOs7yib9+/XrTjcL2 gfbBwDmMqVOn8gv8ChYs2KtXr23btpm9ov7zzz83GO8V6mEOdjnxkCFDTFdc t24dn4yFCxe+ffu2/dMC/wOzyZGwe+W+/PJLW1dUb/upqakbN27s3bs3nT7n yZNHerCTfR8YGRlZuXJlvrRBgwazZ89W+H1B/V8D4ACy/cxVv79lxvbDwsKs tiQiIoIFS++j7969O5W89957VldXtn2iS5cuFECuzkv++usvlntgYKA00qbj 7OLFi1mzTY+qsH3gFGDgHMm5c+c6d+782muv8SlDf2o8PT2l1/q+snxrkpT+ /fub1p+UlMRudDK1EeAAMJscRlpaGjuCT5gwwdZ1Vdq+v78/UwuD8dqAxo0b d+vWbeLEiWy7pvPryZMn8+fPZ/chSrV/y5YtZn9iU/nXADgAPcxclftbZmxf zSNqXxmftEPBzZs3Zx8TEhLy5s1LJb/++qvVda3afnBwMGsMvwiHXZxfvnx5 2TS06Tg7atQoSzsJbB84BRg4x/P48ePAwMABAwaULFmS9X/hwoWlt/9/+umn BuOzdMIsY1YJ6I+59C95RESEA9MCmE0OhT30pkePHrauqMb2V65cyayeJH/b tm3SK3XZbwoKZ9PXrl1bsGBBixYt+Lep/fr1sxRs9a8BcAD6mblW9zdm+7Vr 1zZdV5Ttb9++ncVfvXqVPtJkMRgfe6VwwT/Hqu0T7GF0lMgr4627RYsWNZhc evfKxuPsjz/+yNpset0gbB84BRi4LOTp06fz589nt9OyP00M9qwwV1dXmx7E x25aJMHw9/dnTw6pUaOGmr+fQBSYTY6EfUNIu7qt172fPHmSjRRpv6WYBg0a UECrVq1Mb9S1avscOt2uX78+29aff/6pHGzprwFwADqcuZb2N/Y8KzoXMF2F fZuUedt/8eLFW2+9xSdRrVq16N+enp5q1lVj+7/88ovB+ETNxMTErVu3Gozv 4DB9fr5Nx9lNmzaxHIODg2WLYPvAKcDAOYbr169bOty7ubkZjL/485LDhw+z cenZs6fK+i9evJgvXz7DP08FIY1hf8bV1wAyD2aTI5k2bRrr8O+//9506U0j ZleMjIxkK1p61uXLly/ZvX7SR38zwsLC2L3wMts/cOCA2XeG8pv7du3axQtt +msAHED2nrk27W8k0gZzD8n09vZmT7DJvO0Ts2bNMhjv1Q0JCWGbs3o6zFBj +48ePWJX3S9evJjdy9+tWzfTMJuOs1euXGHBn332mWzRqlWrYPtA+2DgHEBq amq1atVy5co1aNCg6Oho6aJ9+/YxSx84cKC0nH3BQnz11VfSi3auXr3ap0+f H374QRpMf9yqV69Owe+++y7/Mn/GjBmshl9++cVeiYF/g9nkSNLS0ti3ggbj 9TyxsbGsPCEhYcGCBeTkDRs2NH365Svjw7fZdcLvvPMOu5bgwYMHe/fupXnK Y9ivY1Q/f1T+vXv3xo4dy06iZbbPDvdVq1bdtm2b9IeGlJQU/joeXk8G/hoA e5ONZ66t+xu/zObjjz9mj77/66+/aM/nmifE9imS3fb+9ttv0/9N389rCTW2 /+qfy+xpFrPT9uPHj5sNs+k4yy+UHT58OHtFV1xcHP0d4D0D2wdaBgPnAGJi YtgTwBgFCxakP5ht27blN/SVKVNG9j3kw4cPmzZtypa6uLhUrFixcePG/EpL MhnpQ8M8PDwMxl8kz549ywvT09PbtGljML6v5Pz5847LVsdgNjmYCxcu8Hdf Gozv92GWzmjevHlSUpLZFflbdYhy5coxh/fx8eEB/GQ5d+7ctWvXrlSpEvtY vnx5dmYttf1ly5YVLlyYBeTIkaNKlSoffvhhs2bN2K8AxKRJk3hwBv4aAHuT jWeurfvby5cv3333XX7o4a+EpjNf9jR7IbZP9OrVi7eKTpNVrqXS9q9fv85+ iTBYuAeBYdNxls56ihUrxhbR2ROf8vQ3hz0cA7YPtAwGzmEcO3asXbt2/C8J I0+ePPRHz+wDuknXV69eTXYhjX/jjTfI7aWvCNmzZw9bNGfOHFkNCQkJZDIG 43f+eGWPA8BscjypqakTJkxgP9zzo/bbb7+9Zs0ahbXoKN+3b1/pzCpevLj0 VzCaL1OnTmVvAmKQCdCGHj16NGLECIPJs4BSUlKmTZtGXiF7UGe1atXM/rhm 618DYFey/cy1aX8jrW3UqBEPI8Xt06cP7eEBAQH0sUmTJrJ4fk27TbZ/5swZ thadsJv9Dc4sKm3/1T834RLe3t4KYSqPs4w7d+60atWKn0fQ6UD37t2TkpLe f/99+rhjxw6VWTgp0i7K6rYAm8HAOZ7ExMTg4ODjx4//+eef7AdBZe7fv0/x Bw8exPPzNQ5mUxby999///7776QQ6l+2de/ePVrlwIEDV69eNesbdCoRFha2 d+9eqlxlnc+fP79y5crRo0dDQkJMbww0xda/BsAe6Gfmqt/fbt26FRQU9Mcf f+jkmyL1x9mHDx+eOHGCesb0Fv7sDWzfqcHAASAKzCYAnBHMXACsAtt3ajBw AIgCswkAZwQzFwCrwPadGgwcAKLAbALAGcHMBcAqsH2nBgMHgCgwmwBwRjBz AbAKbN+pwcABIArMJgCcEcxcAKwC23dqMHAAiAKzCQBnBDMXAKvA9p0aDBwA osBsAsAZwcwFwCqwfacGAweAKDCbAHBGMHMBsAps36nBwAEgCswmAJwRzFwA rALbd2owcACIArMJAGcEMxcAq8D2nRoMHACiwGwCwBnBzAXAKgYAAAAAAAAA AAAAAAAAADgtWf07A7AZDBwAosBsAsAZwcwFwCqwfacGAweAKDCbAHBGMHMB sAps36nBwAEgCswmAJwRzFwArALbd2owcACIArMJAGcEMxcAq8D2nRoMHACi wGwCwBnBzAXAKrB9pwYDB4AoMJsAcEYwcwGwCmzfqcHAASAKzCYAnBHlmfsn APpAzTTBYc5JwcABIArMJgCcEdg+AH/C9rM1GDgARIHZBIAzosb2HwB16LC7 1KiyxoHtZ3swcACIArMJAGcEti8QHXYXbB9oHwwcAKLAbALAGYHtC0SH3QXb B9oHAweAKDCbAHBGYPsC0WF3wfaB9sHAASAKzCYAnBHYvkB02F2wfaB9MHAA iAKzCQBnBLYvEB12F2wfaB8MHACiwGwCwBmB7QtEh90F2wfaBwMHgCgwmwBw RmD7AtFhd8H2gfbBwAEgCswmAJwR2L5AdNhdsH2gfTBwAIgCswkAZwS2LxAd dhdsH2gfDBwAosBsAsAZge0LRIfdBdsH2gcDB4AoMJsAcEZg+wLRYXfB9oH2 wcABIArMJgCcEdi+QHTYXbB9oH0wcACIArMJAGcEti8QHXYXbB9oHwwcAKLA bALAGYHtC0SH3QXbB9oHAweAKDCbAHBGYPsC0WF3wfaB9sHAASAKzCYAnBHY vkB02F2wfaB9MHAAiAKzCQBnRKDth4SEzJw5s0+fPr179x41atS5c+fs6pmZ ZPLkyWPGjAkICBBYZ1bZvj1yUYldbf/p06dJSUl2qpwD28/2YOAAEAVmEwDO iCjbnzp1as6cOaVStGrVKnurZmbInz8/NdLT01NgnWq6a8CAAS0UmTFjhq3b tUcuKrHV9tPT01u1atWwYcMzZ86YDYiJiZk/f37z5s3Lli2bI0cOyqtgwYLv v//+2rVrX758KQv+9ttvW1njwIEDyk2C7Wd7MHAAiAKzCQBnRIjtHz16lLtQ 3bp1u3TpUq9ePV9fXwfYZobJKtunnjEo0q1bN1u360S2v3nzZpbmvn37zAbU rl3bUs989NFHz549kwZXr15duTPZWadyk2D72R4MHACiwGwCwBkRYvs9evSg Ssg5z58/7wDDFELW2n7BggV7WODnn3+2dbvat30/P7/Zs2e3a9eO/wCkbPu1 atWaNGkSnTCuX7/+iy++KFCgAFtr/Pjx0uCpU6d+awFaC7YPGBg4AESB2QSA MyLE9ps0aUKVdOjQwQF6KYqstf06deoI3K72bf+tt96SfeVuyfZHjhwZEBCQ np4uLbx+/ToT/kqVKqncsceMGcM2FBYWphwJ28/2YOAAEIUaZwAAOJ7Mz1wF 2YuIiPD29i5SpAhV4ubm5v0PJ06c4DFRUVHLly8fPHhw69ate/bsOXPmzEuX LsnqCQ0NpbVWrlxJ/7569erChQu7dev2+eefz507Nzw8nMUkJCT4+PgMHz6c 6unbt++KFStSUlJk9Vy8eHHVqlVjx47t06cPnX306NFj1KhRGzduTE5OlkUq GLKaBiuor3KMStuPj48PDAycMWPGkCFDunTp0q5dO8pl6tSply9fNg22lMv+ /funTJlCK3bq1In6bfHixdS3pqtnON8Hqm1/3rx53xvp2rWrsu1b4rPPPmMr 0qBbDb5582bevHkpmBK3Gqx+mkAanRQMHACigO0DoE0yP3MVZG/NmjUGc4wY MYIF+Pn5FStWTLaU7HTp0qXSekhK2SLSe+aunDfeeOPUqVNHjx6tWrWqrJ42 bdrINL5x48Zm21O+fHk6oVBjyCobrKC+yjEqbZ9U32wiOXPmHDp0qCzYNBfS XTr5Ml3dxcWFTn9E5fvA9uv2+S0etto+uzKH2v/48WOrwXTOwvqKzm6sBquf Jgy1LQaaAQMHgCiUZ5OagyDgZIPuQgpawAG2v3v3bhJsV1dXqqRw4cKN/4G5 Ij8XKF68ODnqnDlzhg0bRmGsMCgoiNfDbZ9BMS1atKhcuTL7WKBAAfZ4Fvo/ 2XKjRo3YN7fE2rVrpe1htk9u37ZtWw8Pjx49erzzzjsskmqLi4vjkWZtX32D FTpcOcYm28+dOzdl1LVr12+//ZYyypcvH2uJTMVNc3F3d2eR1atX7927d79+ /age1mlffvmlqHwfOMr2X7x4wa4FKlOmjNXg8+fPs72FdgA1lcP2sz0YOABE AdsXSDboLqSgBRxg+wym5bKHycTGxpYqVYrKmzZtGhMTw8sjIyNLly5N5Q0b NuSF3PbLlSvn5+fHL9Hp3r07K3dxcenfvz+vh6SRnWKQA0s3SuuGhITImjd8 +HBWyf79+3mhqSHb1GCzqLd98nY3c2zfvp1XtWHDBmqSdN0LFy6w7+GbNWsm LZflEhERwfIldZeGUSJDhgyhEwdR+T5wlO3zs5KRI0daDW7dujVF0qnNrVu3 1FQO28/2YOAAEAVsXyDZoLuQghbIWtufMWMG+3ba9FrxefPmMYGPj49nJdz2 79y5I438/fffWfmkSZNklbBbg2vUqGG1edeuXWOVzJ8/nxea2r5NDTaLetu3 hJeXl/LqvXv3prAiRYpIC2W57N69m9Wm/Oj+zOf7wCG2f+XKFXaLLv3fqsAH BQWx+kePHq2yfth+tgcDB4AoYPsCyQbdhRS0QNbaPrsfs1y5cltNmDhxItsu v5ae277sOvzo6GhWPm3aNNlGv/76a4PxEhRZeUpKSkhICPlqly5dmjdvXqtW LfZNNTF58mQeZmr7NjVYocOV+4rZfqFChfqY4+DBg9LgGzdukP/369evTZs2 9evXr1ChwmuvvUar58qVSxomyyUuLo6FFS1adObMmVFRUWZbkvl8H9jf9uns j1/QtWnTJuXg9PR0/oDTxMRElU2C7Wd7MHAAiAK2L5Bs0F1IQQtkre03aNDA 3LfX/yIwMJAFW7L9+Ph4S7ZPDkzlxYoVkxaGhYXxC/VNUbZ9mxqs0OHKfaXy un3qh7Fjx7q4uJhthrLtP/jnVIhDA9SpU6dt27ZJ18p8vg/sbPt379599913 WfysWbOsxvv4+LDgGTNmqG8SbD/bg4EDQBTKsykbiJMjyQbdhRS0QNbafrly 5QzGL7E/tQy/xt6S7ScmJrJyU9vv37+/4d+2f+zYMf48H5Jqst/ly5fv3Lkz ODiYFSrbvk0NVuhw5b5SafsdO3Zkbc6XLx+p+48//ujr6xsUFMSu5LFq+9SN ixYtevPNN2X23qhRo1OnTonK94E9bf/mzZv8KUxTp061WnNaWlr58uUpuGTJ ko8ePVLfJNh+tgcDB4AoYPsCyQbdhRS0QNbaPnsCZK1atdQ0VYjt87txly1b JgtmX5Ir275NDTaLKNu/ffs2e6pMgwYNrl27Jl00YcIENbbPuHfv3t69e6nr 2rdv/8Ybb7DOqVatGlua+Xwf2M32L1++XLZsWYPx3oElS5aoqZnda8BGX317 XsH2dQAGDgBRwPYFkg26Cylogay1fQ8PD4PxJtDo6GirNQix/dq1a1PJ22+/ bVq/Gtu3qcFmEWX7vr6+LOtVq1bJFtlk+1JiY2P5pTuRkZEPROT7wD62f+TI EfarhKurq4+Pj5pq79+/z1ahXfHZs2fq2/MKtq8DMHAAiAK2L5Bs0F1IQQtk re3zpyZ26tTJdBXSeG9vb/5RiO1XrFjRYLxvl9xPGskf7KNs+zY12CyibH/l ypWsJXPnzpWWx8fHt2vXzqrtnzp1yt/f37RadqZAXLly5YGIfB/YwfbXrl1L JyAG4yVGhw4dUlntmDFjWLUbN25U3xgGbD/bg4EDQBSwfYFkg+5CCloga22f aNasGavf3d2dNC8hIYEcMjg4eMGCBWwV/lx9Ibbfvn17FkyLjhw5cvPmzYCA gL59+/J7XZVt36YGK3S4cl+psf3Tp0+zZlSoUGH16tWRkZFhYWFeXl6VKlVi 5cq2v2rVKoPxKfpbtmxhD+S5e/fu3r17qTYqf+utt3gnZzLfB6ptPzU1NdkI f0cwnY+wElrEw0JCQrhUUxv2muPEiROyymmg2YvD6tatm56ebrUxZndy5RjY vlODgQNAFLB9gWSD7kIKWiDLbT88PJwLqsH4JlzSVKk4ibV90lRZ/Qz2Hi41 tq++wQodrtxXKu/S7dChg2kiHDW2z6EuYncBsIx8fX1F5ftAte2z+2fNUq1a NR5G52gKWZvGM3r06MEW7dmzx2pLLO3kyjHSBmRgEyBrwcABIArl2ZQNxMmR ZIPuQgpawGG2//bbb1Ml3bt3N10UHx8/YcKEwoULS32JrLJly5Y///wzDyOZ NxhvyZTZ/v3799kqP/74o6zmgQMHUnmJEiWkhX5+fiVLluQbogrd3d1Pnz6d M2dO+kjnFDyS3bU6cuTIjDXYLGq667333jMYHxmkHHbr1q2vvvpK2obixYtP nz59/PjxBuPF9tJgWS7Xrl0bMWIEf8sAx83Nbd++fQLzfaDa9tnPCmapXr06 D+PXXClQo0YNac2ULDuXadasmdVmKOzkyjHSBmRsKyALwcABIArl2ZQNxMmR ZIPuQgpawGG2r4bo6OigoKAdO3acPXs2ISFBSJ1miYuLO3To0OrVqwMCAmQP tLGJDDRY+D5z6dKlTZs2bdiw4ejRo0lJSbauHhUVRSvSGdCRI0csvWOLk7EB Umn7Wga2n+3BwAEgCti+QLJBdyEFLaAp29cDOuwu2D7QPhg4AEQBZxBINugu pKAFYPsORofdBdsH2gcDB4Ao4AwCyQbdhRS0AGzfweiwu2D7QPtg4AAQBZxB INmgu5CCFoDtOxgddhdsH2gfDBwAooAzCCQbdBdS0AKwfQejw+6C7QPtg4ED QBRwBoFkg+6yKYX79+9HRkZeuXIlLi7Orq06dOjQihUrVq1apSbYphSSk5Oj o6MjIiJiYmIy8OwUBWxqswzYvoPRYXfB9oH2wcABIAo4g0Bs7a7ExMSxY8eO HDkyJCQkwxu9ffv2uXPn/vjjD9kDzzOGmhTCw8PXrFlDLe/fv/+3/+Dp6blp 0yY7af8vv/xCm6DNqQlWkwIF+Pr6TpgwYcCAATwFqn/x4sUXLlwQ0GIb22za PNi+I9Fhd8H2gfbBwAEgCjiDQGztri1btjDPPHbsWIY3unXrVlbJzZs3M1wJ R00K5PnfWmDcuHF3797NfDNkCLf9OXPmWEqB/P/MmTMObrMM2L6D0WF3wfaB 9sHAASAKOINAVHbX9u3bV69ePWnSJG6Yzmj7EyZM8PPzO3r0aFBQ0JIlS4YM GcKaoeY9nrZiJ9sfPXq0j4/PwYMHw8LCKIupU6eyFIYPH56SkuLINsuA7TsY HXYXbB9oHwwcAKKAMwhEZXcNHTpU9n2yc9k+naoEBwfLLhyitQYOHEjNoOwy r8oyhNv+5s2bDxw4cP/+fWlhYmIiPwXL/G4P23cidNhdsH2gfTBwAIgCziAQ 9d/tbzKyePFiq7Z/48YNily6dOn06dPnzZu3atWqffv2xcbGsqUBAQGzZ89m laxfv37rP5w6dcquKZjlp59+Yi2Jjo5mJXRGQMlSe86ePUtqHRQUtHLlyh9+ +GHWrFlr167lYTLCw8N9fHxmzpw5efLkBQsWUA30f7G2bwk6kWEpnDt3zjQF +njv3r2wsLCdO3fu2LHj8uXLotpsNgXMXIehw+6C7QPtg4EDQBRwBoHY2l0n T55Utn3yfOmdsNJry9mG2Nfppnh5eTkmBSnc9u/cucNKEhMTWQkZ/oQJE2SN HDp06MWLF6U1JCUl+fn5mU3ZAbZPW6d2sg39/fffshTWrVtH51nS32U2btwo qs1mU8DMdRg67C7YPtA+GDgARAFnEIhY2z969ChbOmTIkHnz5vn4+CxdunTc uHGskH2xTOWjR49mJVOmTJn1D1u3bnVMCpy4uDhmwtRaXshVmUPOP3v27GHD hrGPM2bMkFayfft2Hjl9+vQVK1YsWrSIB9vP9sntg4OD2bfxxIYNGxRSkNm+ kDabTQEz12H8CZwWNdME0uikYOAAEAWcQSC2dpey7S9cuJAWDRw4MCoqihem pKQcP378hx9+uHbtGitx/HX7Ztm8eTNrxq+//soLpars5eXFL925desWP22h f/NCdqsvqbL0kaT3798nf7aT7V+/fn38+PG8kQMGDPD19ZXekiBNYdCgQXQi QG2jEbl48eKNGzdEtdlsCpi5DsNxbgpEo2aaQBqdFAwcAKKAMwjE1u5Stn12 VQn5J7+qxCxasP2wsDB2KQv5MDkwL+eqLD0FYPCzg/DwcFbi7+/PSgIDA2XB wu/S5Vy6dEn6dT31OZ1MSQOkFyNJUxPbZrMpYOY6DB12l5p9TOPA9rM9GDgA RAFnEIhY29+wYQP3zIMHD/KL4WVkue1HRETwC1cOHDggXSS96F22Fr9OiTqB lXh5ebHfMhISEmTB9rN96lUy9t9++23x4sX8Joj169erSUFgm82mgJnrMHTY XbB9oH0wcACIAs4gELG2f/nyZdm9n2PGjFm+fPnVq1elYVlr+9SY4cOHswb4 +vrKliqo8unTp2W2z55+OX78eNOt2M/2pdy+ffu7776T/eKgbPui2iwDtu9g dNhdsH2gfTBwAIgCziAQsbZPhIaGTps27VsTli1bxp8Vn4W2f+HCBa76Pj4+ pgEKqhwSEiKzfU9PT/pI+ZrW4xjbJ44cOcJatX37dqspCGyzDNi+g9Fhd8H2 gfbBwAEgCjiDQITbPiMyMvLw4cNkm5MnT+bCv2vXLraU276lx9fbhPoUSNcH Dx7MNr1t2zazMTbZPrtPYdy4cab1OMz26fyFtWrFihVWUxDYZhmwfQejw+6C 7QPtg4EDQBRwBoHYyfalBAUFsVV+/vlnVsKfAGl6D2kGUJnCgQMHBgwYwGx2 //79lsJssn32EBuq1vQOBYfZPr+bYNOmTVZTENhmGbB9B6PD7oLtA+2DgQNA FHAGgYi1/Y0bN8ou0X9gfKw9W2XlypWs5ODBg6wkODg4wy3nWE0hOTmZGsa2 OGTIEOWX9tpk+/wpPX5+ftLI6Ohodnm8KNunCrdt22b6pCNq7cSJE1kb+JN5 lG1fVJvNpoCZ6zB02F2wfaB9MHAAiALOIBCV3XXjxo2rRgICAvhV4qwkMjKS h40cOZJc0dvb+/Tp0zExMeT5Z8+eXbp0KVtlz549LOyPP/5gJd999x0FUOWn jNgpBX53LbF69er95uAnLzbZ/u3btwcNGsQKf/vtN8qFFtE/eKEo22c9RtWu WbPm6NGjV65cuXbt2qFDh/iD9ydMmMCfsaNs+6LabDYFzFyHocPugu0D7YOB A0AUcAaBqOwu9s5Zs4waNYqHke1bCpsxYwa/Szc5OXnKlCmyAC8vLzulwH+P UIBnYZPtP5B8VW4WsbZviSFDhkRERPBgZdsX1WazKWDmOgwddhdsH2gfDBwA ooAzCERld7EHuZhl7NixPOz333+fM2eO7CGcdKbg6+sbFxcnrfDGjRszZ86U hvGbTIWnwC1dAX7XKp2SsPabPrEnLCyMBUtfQUsEBgby596zfAMCAn799ddv jd/GC0nh7t27/v7+7EobGd7e3rdv35YGK6QgsM1mU8DMdRg67C7YPtA+GDgA RAFnEIg9uotsk2Q+1Aj9g3+lb8qdO3cuXLhw8eLFmJiYDG9OCyNOOVIWx44d o5YkJyfburr6FEj7r1y5cvLkyeDg4KtXr5q+IUs9mWyzDNi+g9Fhd8H2gfbB wAEgCjiDQLJBdyEFLQDbdzA67C7YPtA+GDgARAFnEEg26C6koAVg+w5Gh90F 2wfaBwMHgCjgDALJBt2FFLQAbN/B6LC7YPtA+2DgABAFnEEg2aC7kIIWgO07 GB12F2wfaB8MHACigDMIJBt0F1LQArB9B6PD7rLV9l+8eJGQkJCeni48mHj8 +PGzZ8/UN4YB28/2YOAAEAWcQSDZoLuQghaA7TsYhe66fv16C9V89tlnDm55 hlGzjyUmJv76669t27atWLFirly5aH9zdXWtUKHCmDFjbt68mZlgRlRU1Ndf f12lShUXFxcKrlGjxrBhw5KSkpRbJdvJlWNg+04NBg4AUcAZBJINugspaAHY voNR6K7z588bVPPmm286uOUZRs0+1rFjR0uZFilS5PLlyxkOJlavXv3666+b BpcoUeLUqVPKDZPu5MoxsH2nBgMHgCjgDALJBt2FFLQAbN/BKHRXVFRUDxNc XV2p80uVKiUrz9jL1LIE9bZfoUKF0aNHr1mz5uDBg/T/xo0bs32vRo0aGQ4+ c+YM+/6/UKFCS5YsCQsLO3bsmIeHh4uLCxVWq1ZNzYU9sP1sDwYOAFHAGQSS DboLKWgB2L6DsbW7ihcvTp3ftm1b+zXJ3qjZx2bNmrV+/frnz59LC8nDGzVq xHa/uLi4jAXXq1fPYLzUJyIiQho/ZcoUFjxz5kzltr2C7esADBwAooAzCCQb dBdS0AKwfQcj1vZDQ0O9vb1XrlzJPt69e3ffvn30ccuWLQ+Mr11esWIFBfzx xx+yFa9cueJtJDY2VrYoKipq+fLlgwcPbt26dc+ePUmGL126pL7BpqjZxyzx /fffs93v3LlzGQhOSkpi3+H36dNHFpyWllaxYkVaVKZMGas1w/azPRg4AEQB ZxBINugupKAFYPsORqzt8y+ob9269e233+bIkYN9dHV1paUxMTHs4/z582Ur +vj4sEVhYWHScj8/v2LFihn+Tf78+ZcuXWpjov8jM7b/ySefUAPy5Mnz5MmT DAQfOnSIpbBo0SLT+L59+7Kllu7t5cD2sz0YOABEocYZAACOJ/MzN8MqqDds 7S6Vtl+6dGmpbWbM9tesWcMKaaNDhw6dM2fOsGHDChcuzAqDgoJsT/f/UbOP yXj58uXZs2dp62zT06dPz1jw4cOHWeHcuXNNV6RItvTkyZPK7VE/TSCNTgoG DgBRwPYB0CaZn7kZ80AdYmt3qbR9okmTJl5eXiEhIefOnQsICHhgo+3HxsaW KlWKSpo2bUor8sjIyEh2KtGwYUObMuWo2cc41Ax3d3d+ipE3b15yckuP07ca nJSUxBZ17tzZdPVff/2VLd2zZ49yq9RPE0ijk4KBA0AUcAaB2HQA1SZIQQvA 9h2MnWx/yZIlKSkpsqU22f6MGTPoY+7cua9evSoLnjdvHi1ycXGJj49X33KO TdOEIqXa/OWXX4aHh2cmuEqVKmwpub20/OHDh0OHDmWLDh06ZLVVsP3sDQYO AFHAGQSiE8/UODpJATNXIHay/eTkZNOlNtl+165d6WO5cuW2mjBx4kQWHBoa qr7lHJumyf379ydPnjxy5MhOnTq99tprtNGcOXN6e3tnOPjgwYPsCZzEBx98 MHz4cE9Pz/bt2xcoUIDLOZ3gKLcKtp/twcABIAo4g0B04pkaRycpYOYKRLO2 36BBA4M1AgMD1beck+FpkpCQUKNGDYPxF4dr165lOHjt2rX58+eX5ULnBexd Bi4uLlZvAYbtZ3swcACIAs4gEJ14psbRSQqYuQLRrO2XK1fOYHwF1aeWCQkJ Ud9yTmamSUBAAGvnypUrMxOcmJhIndCvX78OHTp4eHjMnj37xo0b7C1dJUuW tFozbD/bg4EDQBRwBoHoxDM1jk5SwMwVSJbY/qxZs2SLTG3fzc2NPtaqVUt9 21SSmWny5z9X5nt6eooNfvbsWYkSJSiYzmLU1Azbz95g4AAQBZxBIDrxTI2j kxQwcwXiSNu/e/cuW/rdd9/JFpnavoeHh8F4GUx0dLT65qkhM9MkKCiItXPO nDlig+kMiAUHBwdbDYbtZ3swcACIAs4gEJ14psbRSQqYuQJxpO0T7OmUbm5u 0sL4+PhvvvlGZvv8YfudOnUyrScxMdHb21t9s6VY3ccSEhI2bdr0/PlzWXl6 evrHH3/MWnXw4MEMBFvi6NGj+fLlo8iWLVsqR0p3cuUY2L5Tg4EDQBRwBoHo xDM1jk5SwMwViINtn12fQ0ycOPHixYvk9osXL65UqRL3UunbtZo1a8YK3d3d yYfJq0nyg4ODFyxYULlyZSo3fcinGqzuY+Hh4VR5+fLl582bd+LEiaSkpMeP Hx8/frxVq1asPfXr13/27FkGghmHDx8ODQ1NS0ujYIocMmSIi4sLRRYoUCAk JETsNIE0OikYOABEAWcQiE48U+PoJAXMXIE42PZ3795tMEfOnDlNbZ9EWnoi kCNHDv7sSoZdbd8Sb7755pUrVzIWzOjbt69pZI0aNaw+eFO2kyvHSCtXWS3Q Dhg4AEShPJvgDDahE8/UODpJATNXILZ2V8mSJQ3GO0nNLp02bZrB+AxJS7ZP eHl5SZ8/WaBAgalTp65fv559PHv2rDQ4Pj5+woQJ/O20XPtbtmz5888/q2+2 FKv7GMVMnz69bt26MiGn7fbr14+alOFghtT2XV1d69Sp4+npmZqaqrzbm+7k yjGwfacGAweAKOAMAtGJZ2ocnaSAmSuQLOmuO3fuHDhwYO3atSEhIQrnBVKi o6ODgoJ27NhBpwMJCQmZ2br6aUJtO3/+fEBAwNatWy9cuKD8GHz1wffu3du/ f7+/v39YWFhaWpqalsiA7Wd7MHAAiALOIBCdeKbG0UkKmLkC0WF36WqaQBqd FAwcAKKAMwhEJwdQjaOTFDBzBaLD7tLVNIE0OikYOABEAWcQiE4OoBpHJylg 5gpEh92lq2kCaXRSMHAAiALOIBCdHEA1jk5SwMwViA67S1fTBNLopGDgABCF QGcICQmZOXNmnz59evfuPWrUqHPnztn1aJVJJk+ePGbMmICAAIF16uQAmhke PnyYgbWePHmi/j4+W1N4+vRpUlJSBlplE8JTgO0LRIfdpZM/VrB9pwYDB4Ao RDnD1KlT+cOiGatWrbL3ASszsMffeXp6CqzT1gNoenp6q1atGjZseObMGZWr xMbG/ve//6W1fvrpJzXxixYtamWEVlQTb6cUDh069MUXX1SoUIH6vHDhwq1b t16yZIlyzREREbNnz/7yyy+rVKnCXrvToEEDUSnExMTMnz+/efPmZcuWzZEj B1VesGDB999/f+3atS9fvlRY0aYhs2sKsH2B6LC7YPtA+2DgABCFEGc4evQo /4tat27dLl261KtXz9fX1wHHrAyjBdvfvHkz67R9+/apiU9NTX3vvffYKt26 dbMaT0PAJJO4du2amk3YI4V169a5uroaTPDw8Hjx4oWlVfLlyyeLL126tKgU ateubdoexkcffSR76aet+TomBdi+QHTYXbB9oH0wcACIQogz9OjRgyohfz5/ /rwDjlNCyELb9/Pzmz17drt27fivIWps/+XLlx06dOBHLqu2f/z48Tx58vB4 sbavPoXQ0FAWULx48blz5x47dmzVqlWNGjVihT/++KMsPj09feDAgWwpjdGg QYNWrFgRGBjo5eXVr18/USkw269Vq9akSZPonGj9+vVffPFFgQIF2HbHjx+f 4XwdlgJsXyA67C7YPtA+GDgARCHEGZo0aUKVkIs64CAliiy0/bfeekv2la8a 2x8xYgRF5sqVS43tX79+vWjRotJNiLV99Sn079+flubOnZvOPnjh/fv3q1Sp QuUVK1YkN5bGb9u2jVXYtGnTyMhINW3OQAojR44MCAiQbZo6jQl/pUqVZPE2 DZljUoDtC0SH3QXbB9oHAweAKDLpDBEREd7e3kWKFKFK3NzcvP/hxIkTPCYq Kmr58uWDBw9u3bp1z549Z86ceenSJVk9oaGhtNbKlSvp31evXl24cCHZ7Oef fz537tzw8HAWk5CQ4OPjM3z4cKqnb9++K1asSElJkdVz8eLFVatWjR07tk+f PnT20aNHj1GjRm3cuNH0VZUKtq+mwZk5gM6bN+97I127dlVp+8uWLWORlDUz TwXbJ5d+9913KaZatWoLFiywh+2rTOHRo0dvvPEGOxO0lNGhQ4d4Iel33bp1 qbBEiRKUhZoGZzgFs3z22WesVbRrScvVD5nDUoDtC0SH3QXbB9oHAweAKDLp DGvWrDGYY8SIESzAz8+vWLFisqVk2kuXLpXWM2XKFLaI9J55OId08dSpU0eP Hq1ataqsnjZt2sg0vnHjxmbbU758eTqhkEZasn2VDRZyAOX3Oyjb/u7du9kF JGPGjHn1z/fMlmz/6dOnzZo1MxivnImMjFy9ejXbhJ2u21dO4fTp02zp/Pnz ZYvoPJEtoqHnhdu3b2eFv/32m/o2yMiMxnzxxRe0dRcXl8ePH5sNsDpkDkuB bUW5Bqt7LGDosLtg+0D7YOAAEEUmnYFElASb3YNZuHDhxv/A3JifC5B5Dh06 dM6cOcOGDaMwVhgUFMTr4bbPoJgWLVpUrlyZfSxQoAB7cAr9v169eo0aNcqb Ny9btHbtWml7mO2T27dt29bDw6NHjx7vvPMOi6Ta4uLieKRZ21ffYCEHUDW2 f/78eXZ5SadOndiVJ8q237NnT1qaL18+Mm36mLW2v3PnTrb04MGDpktz585N iwYOHMhL+vXrRyV0avPw4cObN2/u379/xYoVlAJtxdL9vJlPgUObYH1bpkwZ SzFWh8xhKcD2BaLD7oLtA+2DgQNAFEKcgWk5+ae0MDY2tlSpUgbj1csxMTG8 PDIysnTp0lTesGFDXshtv1y5cn5+fvwSne7du7NyFxeX/v3783rIndgpBlm9 dKO0bkhIiKx5w4cPZ5WQevFCU9u3qcFmEW77d+7cKVu2LNs0/7ZZwfanTZvG +srf35+VZK3tr1y5ki01+7xKdhrVsWNHXvLxxx+z9rN/SKlUqdLmzZvtkQKH n+uNHDnSUozVIXNYCmpmLgDZHjXTBNLopGDgABCF/Wx/xowZBuPtmVevXpXF z5s3jxlRfHw8K+G2T34rjfz9999Z+aRJk2SVsFuDa9SoYbV5JLqskvnz5/NC U9u3qcFmUXP0kaKsjqmpqfXr1zcYf6q4e/cuL7dk+xs2bGC1zZ49mxdmre1P nz6dLY2IiDBdyhKhceQl7HYDRs6cOSnxmjVrsiv/DcZfdgIDA4WnwLhy5Qr7 DYX+f+vWLUthVm3fYSnA9gH4E7afrcHAASAK+9k+u5+xXLlyW02YOHEi2y6/ lp7bvuw6/OjoaFY+bdo02Ua//vprg/GSG1l5SkpKSEgI+XmXLl2aN29eq1Yt 9s08MXnyZB5mavs2Ndjetv/y5ct27doZjG99unTpknSRWdsPDg5mz9v08PCQ lmet7dM5msLWK1asKLN99oB6GoJffvnl0aNHrDAtLW3hwoWsntdff51OuMSm 8Mr4Gwq/bGzTpk0KkVZt32EpCJm5gKHD7srANNEasP1sDwYOAFHYz/YbNGhg sEZgYCALtmT75EWWbJ9dIF2sWDFpYVhYGL9Q3xRl27epwUIOoArqePz4cbbI 398/6d+wk5eOHTuyj+zdr+7u7gbjq1rv3bsnDV6yZAmr58yZM/SR+6fyiAtJ gVi6dClbev78edOl7G7oTz/9lH18/vw5uxm5R48epsFjxoxhVe3Zs0dsCnfv 3uVfyM+aNUs5WDlfR6bAqlKuwerMBQwddhdsH2gfDBwAohDiDGZtv1y5clRY qFChTy3Dr7G3ZPuJiYms3NT22YPcpbZ/7Ngx/jyfevXqkckvX758586dwcHB amzfpgYLOYAqqCNvs1XYc+z/85//qAmmkwLlJom1ff7m2RMnTpguZV+D9+3b l5ewb/vNNpJqYFVNnz5dYAo3b97kz3qaOnWq1Xir3+07LAVWlXINVmcuYOiw u2D7GiQ9PT02Nvb06dMXL15UeKO3FBpKir9+/brs7SHZA2cZOAC0jxBnMGv7 bm5uBuPrStUceoTYPr8bd9myZbJgFxcXgzXbt6nBZskS26fIV6ptn8KUmyTW 9vltF6aPo/z777/ZIumLa1u1amUw93Ir4q+//mLxI0aMEJXC5cuX2U3QtHss WbJEzSpWbd9hKQiZuYChw+6C7WuKe/fuDRo0iN/gQ7i6utLBaOHChZaeBuzj 4/Puu++yQ5vBeIlgly5d4uLipDHPnz+vWrVqwYIFGzRo8OTJE+kiOqEoWrQo LRo3bpwdE8sc2h84AJwFIc5g1vY9PDwMxpteo6OjrdYgxPZr165NJW+//bZp /Wps36YGm0WgKr948eKuBdiDgz777DP2kT3XMSUlxWzw/Pnz2SaOHz9OH2Uv jbI04kJSeGVUevboVNndBMSmTZvYiuvWreOFAwcONBjfF2x6Zfvhw4dZ/MqV K4WkcOTIkTfffJMdVem4aTWeYdX2HZYCbF8gOuwu2L52SE1Nfe+991gjS5Qo 0bhxY1J0/tr00qVL03hJ49PS0tq2bcuW5smTp2bNmuxbC4IEnjReGrxr1y62 aPDgwbzw6dOnderUocIqVao8fPjQQXnajsYHDgAnwn62z59n2KlTJ9NVSOO9 vb35RyG2zy6iKF68+P3796WR/BtmZdu3qcFmEavKlrD6Ll0pWXuXLvHJJ5+w QZF+6ZSent66dWuD8QE4dKTj5YGBgay23r17y+ph770yWLgFwNYU1q5dy572 X6hQIenLfK1iNV+HpQDbF4gOuwu2rx02btzIWrho0SJ2H9Yro5DTn6kKFSqY XmE4evRoFj9mzBju6qdOnSJ1Nxhfai+Lp8Mciw8ICGAl48aNMxi/6DD7bGTt oPGBA8CJsJ/tE+ylrgbjZcykSQkJCeTMwcHBCxYsYKvw5+oLsf327duzYFp0 5MiRmzdv0h+3vn378t86lW3fpgZn5gBKfptshJuhv78/K5GqryW0YPvqU6By FvDRRx9duHCBXZjKjz79+vWT1cy/sxo/fjy7p5gOZ6NGjWKFJMyZTyEkJIQL AI3sXnPIbjSwacgckMIr2L5QdNhdsH3tMGHCBNZCOtzIFpH8yy7IDw0NZT+Y slerS6G/bOxgRwcvaTmdONSrV89g/OGADmpUA3uYgNWHEmQ5Gh84AJwIu9p+ eHh4pUqV+B9b+hvFf51kiLV90nJZ/Qz2Hi6DCttX3+DMHEDLly9v2khGtWrV rK6uBdtXn8Lz58+/+uorvvT111+XRsbExMhqvn79Or94lQ5JpUuXZoc2g/Ea LdOjYQZSoDNBS423lIVNQ+aAFF7B9oWiw+6C7WuHAwcOsBbWrVt3x44daWlp CsHsJSavvfaa2ev56c8RLV26dKmsnDqKHfI+/fTTmjVr0j9atGjBf0fQLBof OACcCCHOQA5DlXTv3t10UXx8/IQJE9hbUzkkPy1btvz55595GH8JrMz279+/ z1b58ccfZTWzC6RLlCghLfTz8ytZsiTfEFXo7u5++vRp9lUGnVPwSOZjI0eO zFiDzaLyAFqhQgVL6li9enWVq1NvqxnftWvXsppJQdXE2yOF9PT0sWPHsndX Mej8q02bNjS4Ziu/desW/5mGQedcNFJWHx+qMgV+ZZcCNWrUyHC+DkjhFWxf KDrsLti+ppg6dSr/DbpgwYK9evXatm2b2SvqP//8c4Pxa5Me5mD3Ig0ZMsR0 xXXr1vGuoAPc7du37Z9WZtH+wAHgLDjMGaKjo4OCgnbs2HH27NmEhAQhdZol Li7u0KFDq1evDggIuHbtWobryUCDdXIAzRjk/FeuXNm8eTOdfMmeDmGWpKSk 48eP0+nbuXPnlL/skqGdUbBrCrB9geiwu7QzTTJMdrJ9gv5KdO7c+bXXXuMN JqX39PSUvdq7bt26Vr+s6N+/v2n99OeI/7RqehWQNnGKgQPAKYAzCEQnB1CN o5MUMHMFosPu0tU0cSJpfPz4cWBg4IABA/iP1IULF5Y+ZufTTz81GJ+lE2YZ 2QkCg04lpOcRERERDkwrgzjRwAGgceAMAtHJAVTj6CQFzFyB6LC7dDVNnFEa nz59On/+fHYNateuXXn5xIkTDcaLIR/8+7Gcynh7exuMl7b6+/uz6xJr1Kih 8sLCLMQZBw4AbQJnEIhODqAaRycpYOYKRIfdpatponFpvH79uqVE2DsfGzRo wEv4azt69uypsv6LFy+yF5ezR+6fOHGCnUSoryGr0PjAAeBEwBkEopMDqMbR SQqYuQLRYXfpappoWRpTU1OrVauWK1euQYMGRUdHSxft27ePWfrAgQOl5d98 8w3L6KuvvpJetHP16tU+ffr88MMP0uBHjx5Vr16dgt99913+Zf6MGTNYDb/8 8ou9EhOBlgcOAOcCziAQnRxANY5OUsDMFYgOu0tX00TL0hgTE+Pu7s4bWbBg wQ8++KBt27ZVq1ZlJWXKlLl586Z0lYcPHzZt2pQtdXFxqVixYuPGjfl1/vnz 55c+nJO9I97V1fXs2bO8MD09vU2bNlSeN29eqy/7y0K0PHAAOBdwBoHo5ACq cXSSgjPO3IMHD44ZM2bcuHFJSUlZ3ZZ/kVXdNXnyZOqQgIAAx286w9OERNHq 9d4vX768c+eOmkdvMe7fv//s2TNbW5I9bJ9x7Nixdu3aSR8fTeTJk6dXr15m H55Mo7B69WrZe0DeeOMNcvsbN27wsD179rBFc+bMkdWQkJBQrlw59p2/7AVe 2kH7AweAs+CMzqBZdOKZGkcnKTjjzOXXD9y7dy+r2/Iv1HTXgAEDWihC2dm6 XbPv+HMMNk2TFy9ebNiwYfjw4W5ubuzFGXnz5vX395eFkbEvW7asRo0auXPn Zl87ly5d+ptvvpFdoMIit2zZ0rNnz5o1a7JOyJkzZ8WKFUluIyMjVbYqO9k+ h729/fjx45SamtMlOlGieDqPdorn59uKEw0cABrHGZ1Bs+jEMzWOTlJwxpnr 1LZfr149gyKmLxO3ilPYflxcHJ3LmOa7cuVKaRjVKX0UvPQt5CT/pKPS4G3b tlnqRgoODAxU07BsaftACgYOAFE4ozNoFp14psbRSQrOOHOzge0XLFjQ7DtM Cavv2jZF+7YfFhZWpkwZNmpNmjSZNm3a1q1b/fz8qM379u2TRvLHuQ8ePPjY sWPPnz8PDw+fPn06e11U4cKF4+PjeTCz/bx58/bs2XPJkiUBAQGTJk2qXbs2 q4GCY2NjrbYNtp/twcABIApndAbNohPP1Dg6ScEZZ242sP06deoI3K7GbT89 PZ3yNRgvIPfy8lK4uvvRo0fsy/wvv/xStog96Z0gw+eFJ0+eHDt27N9//y0L HjhwIAtev369cttewfZ1AAYOAFE4ozNoFp14psbRSQpCZu6qVatIxk6dOkX/ JhkbPXp0mzZthg0b5ufnd//+fRYTGhr6008/kcW1a9du3Lhx58+fl1Vy8eJF qofkrU+fPh06dOjRo8eoUaM2btyYnJwsi1Sw/aioqOXLlw8ePLh169Y9e/ac OXPmpUuXMjgPbUeg7cfHxwcGBlKmQ4YM6dKlC3UadcjUqVMvX75sGmzJ9vfv 3z9lyhRasVOnTsOHD1+8ePHVq1dNV89Mp6nZx/j1NpSOciTtJCzy+++/ly06 e/YsW0R7kXIlBO1dLHjkyJFWg2H72R4MHACigO0LRCeeqXF0koKQmcvupiST b9asmeHfkGqSuJK358iRQ1peoEAB2TNkGjdubDBH+fLlSQKlkZZsn04uihUr JludTHjp0qUi5qV1BNo+qb7Z3siZM+fQoUNlwaa2f/PmTfZCJRkuLi40FtJ1 M9lpVvex9PR0dh1+1apVnz9/rrw3pqam5s2bl4KrVasmffwj4ePjw9p25swZ 5UoIOidiwXReaTUYtp/twcABIArl2fQnACCLyPzMtap8zPYZZPWksqTu7EJr 4s0332T/KFq0aIsWLfjj/kj/UlJSeCXM9mlp27ZtPTw86DThnXfeYZGVK1eO i4vjkWZtf82aNaywePHi5MNz5swZNmxY4cKFWWFQUJAad80karrLJtunjqVu 6dq167fffkvdwt6RRMhU3NT2+aPXq1ev3rt37379+lE9TKTppIyHZb7TrO5j d+7cYbWNHTv2yZMndOLm6+u7YsUKSjAmJsY0ntJk8bVq1bpw4QIrJPP/8MMP qbBs2bJqHvO4cuVKVomatz6pnyaQRicFAweAKGD7AGiTzM9cq8rHbb9Xr15R UVGsMCQkhAs/6frOnTtZeXJycocOHVh5cHAwr8TPz49WkdU8fPhwFrl//35e aGr7sbGxpUqVopKmTZuSQ/LIyMjI0qVLU3nDhg2tZpF51HQXs33ydjdzbN++ nVe1YcMGyku6Ltkv+x6+WbNm0nKZ7UdERLD+IXWXhlFvDBkyhE4c2EchnWZ1 Hzt58iRrDNUm+xEhV65c3bt3T0hIkMbfunWLInlMq1at1q1b17JlS3YmGB4e rrw/E2lpaew8kc5uaA+xGq9+mkAanRQMHACiEOIMgKHm6KNxkIIWcLDtk0nK yj/55BMqf/3112WX3OzatYttl4RWueZr166xyPnz5/NCU9tnJdQM0+vS582b ZzBewRIfH281kUyi3vYt4eXlpbx67969KaxIkSLSQpnt7969m9Wm/Oh+IZ1m dR/z9fWVJliwYMGaNWtWqlSJl9A5Dvm5dBWqlp2GSKEzR9mrYC3B3vpKjBgx Qk08bD/bg4EDQBSwfYHoxDM1jk5SEGj7Y8eOlZX379/fYPweW1Z+6dIltt1F ixZJy1NSUkJCQkg1u3Tp0rx581q1arEvmYnJkyfzMFPb79q1K30sV67cVhMm TpzIgmUX/9sD9bZfqFChPuY4ePCgNPjGjRvk//369WvTpk39+vUrVKjAfi7J lSuXNExm+3FxcSysaNGiM2fO5L+2yBDSaVb3sdmzZ7Oqevbsef78eV4eERFB GbFFtOfw8jt37rBrut59913aPaR3H1SrVi0sLEx5f+abq1u3rsqX8ML2sz0Y OABEAdsXiE48U+PoJAW72v6IESPM2j75J9vuwoULeSGJHL9Q3xRl22/QoIGl FTmBgYEZnJCqUW/7Vq/bT05Opv50cXExm4uy7RNff/21NL5y5cqdOnXatm2b dC0hnWZ1H/vhhx9YVXTmIltEYk9nPQbjRT6shCpk53e1a9fmF+FQ/d27d2dd QYn//vvvlrZFZwdsW5UqVaLKlfd82U6uHCPtE5XVAu2AgQNAFMqzCbZvEzrx TI2jkxSEzFxLtj9q1CiDOduPjo5m2+W2f+zYMaasBPkwievy5ct37twZHBzM CpVtv1y5cgbjF+afWsb0pgDhCLT9jh07shyp90jdf/zxR19f36CgIHYlj1Xb p5MFUl9+fzSnUaNG7EGpDwR1mtV9bN26dWzTx48fN13aqlUrg/ECe/a4nvnz 57NgWksWyW+8dXd3N7uhn376iQVUrFiRTieVd3vTnVw5Brbv1GDgABAFbF8g OvFMjaOTFDRi+/xu3GXLlsmC2Ze6yrbPrveoVauWTRNNOKJs//bt2+yBpQ0a NLh27Zp00YQJE9TYPoP6Z+/evdOmTWvfvv0bb7zBOq1atWpsqZBOs7qPnThx gm3X7IuuunXrxpY+evRI+jEuLk4WSacDLIWSJUvKFqWnp48cOZKtSOmoeX+u 6U6uHAPbd2owcACIArYvEJ14psbRSQoasf3atWvTx7ffftu0cjW2z27MpGZQ zeonmnBE2T6/s3XVqlWyRTbZvhRyYH7pTmRk5ANBnWZ1HyNvZxul5pku/eij jwzGewfYR34BUnx8vGlw1apVDcYn80gL09LS2A0IBuPDhZKSkpR3eEs7uXIM bN+pwcABIArYvkB04pkaRycpaMT2K1asaDA+9Z2/e5fx+++/s0hl2+fPje/U qZNp8xITE729va1mkXlE2T6/amXu3LnScnLgdu3aWbX9U6dO+fv7m1bLzhSI K1euPBDUaWr2sffee4+2kidPHlnkhQsXcubMSYs6dOjAShYsWMCaRP+QVUJn K1QDLerYsSMvpA4hw2erfPHFFypvyzW7kyvHwPadGgwcAKKA7QtEJ56pcXSS gkZsv3379qykf//+R44cuXnzZkBAQN++ffltqsq2T/DX+Lq7ux89ejQhIYF8 NTg4mLyxcuXKVC59k5edEGX7p0+fZrlUqFBh9erVkZGRYWFhXl5e/MGVyra/ atUq9kX3li1b2AN57t69u3fvXqqNyt96663k5GQWmflOU7OPUTpsHKtWrUpn IqyQtlKlShWD8ccF/hat69evs1zy5s3722+/8Rpoh2FWT/Xs3r2bl/NXcdWt W3fPnj17zWF6UVCGpwmk0UnBwAEgCti+QHTimRpHJyloxPbJ/chgDSa4urqq tP3w8HDpU9xz5Mghq9CJbJ/gLyAzixrb5xQrVozdBcC6xdfXl6+Y+U5TOU0G DRrE6yxcuDC/iYDsffHixdJIHx8fHkmnA+3atSPPZ9/qE5MmTZIG87MVBfz8 /JTbBtvP9mDgABCF8myC7duETjxT4+gkBSEzN2/evFTJd999JysfM2aMwfh2 LVl5TEwM2y6ZHi8kKytZsiR3KvJAd3f306dPs4s9pkyZwiNnzZrFYmTvfqKP EyZMIJmUuhkZbMuWLX/++Web56HtqOkudlkLOb9y2K1bt7766itpIsWLF58+ ffr48eMNxu/DpcFMnkeOHMk+Xrt2bcSIEfxVBRw3N7d9+/bJNpTJTlM/Tdas WVOkSBHpVqpVq0ZneaaRx48fb9SokazxVatW3bVrlyyyRYsWZg1fir+/v3LD YPvZHgwcAKJQnk2wfZvQiWdqHJ2koKmZGxcXd+jQodWrVwcEBMieRWMT0dHR QUFBO3bsOHv2bEJCgsAWKiO8uy5durRp06YNGzYcPXo0KSnJ1tWjoqJoRTqN OnLkiKV3bHEy1mk2TZOXL1/SsNIm9u7da/V5+HS+c/jwYTpH2LNnz40bN2hd lVuxFdh+tgcDB4AoNOUMzo5OPFPj6CQFzFyB6LC7dDVNII1OCgYOAFHAGQSi kwOoxtFJCpi5AtFhd+lqmkAanRQMHACigDMIRCcHUI2jkxQwcwWiw+7S1TSB NDopGDgARAFnEIhODqAaRycpYOYKRIfdpatpAml0UjBwAIjCGZ3h4MGDY8aM GTduXAZuf7MrmjqAPn78+NmzZ7aupakUMoZdU0hPT6eBVh+fkpKSmJho61Zg +w5Gh92lk5kO23dqMHAAiMIZncHsU7u1gK0HUFLHVq1aNWzY8MyZM6ZLjx8/ 3soaPXr0kK0VFRX19ddfV6lSxcXFxdXVtUaNGsOGDVP/VnotpMDx8/Ojmvv1 66e+PRlIgREbG/vf//6X2vPTTz+ZLqU0vb29mzZtyh6ZWLx48ZYtW+7du9ds JJ2NDho0qH79+m+++SbbUV9//fUWLVps2bJF5fNJYPsORofdBdsH2gcDB4Ao nNEZso3tb968mSWyb98+haUKlCtXTrrK6tWrSSxNw0qUKMFfhalMlqfAefjw Iak+BXzwwQfq25OBFIjU1FT2NHWiW7dusqXx8fEfffSR2cb36tVLFnzhwgWF ZAcOHCgqBVahcg1ZPSGcBh12F2wfaB8MHACicEZncHbb9/Pzmz17drt27djr hyyp8rlz5761DHufkVSVz5w5w96nWahQoSVLloSFhR07dszDw8PFxcVgfCGO mgt7sjYF4vr168uWLfP09KxYsSKr2d62//LlS+n7T01tv1OnTmwR5bt3797w 8PD169eXL1+eFf7222/SYGb71C2ff/75nDlzdu3atXv37rFjx7722mss3uo7 g1Sm4IwzV7PosLtg+0D7YOAAEIUzOoOz2/5bb70l+8rXrCorEBcXlz9/fuaf vLBevXpU4urqGhERIQ2eMmUK28rMmTOt1py1Kbwy/jwhq9netj9ixAjaCjtR MrX9gIAAVt69e3dpeUJCQtGiRQ3G302kF0pFR0cPGDDgr7/+km1l586drJ5B gwYJScEZZ65m0WF3wfaB9sHAASAKIc6watUqb2/vU6dO0b+3bds2evToNm3a DBs2zM/P7/79+ywmNDT0p59++vLLL8nuxo0bd/78eVklFy9epHrGjh3bp0+f Dh069OjRY9SoURs3bkxOTpZFKth+VFTU8uXLBw8e3Lp16549e5LfXrp0KYOH Q9tReQCdN2/e90a6du2aMVUmY6S1cuTIER4ezkpIONl3+NR7suC0tDT2PXmZ MmWs1pyFKTD++OOP7/+hbNmy9rb9ZcuWsfavWLGCncLIbH/kyJEs4ObNm7J1 aRW26JdffrG6oadPn7Lg9u3bC0kBti8QHXYXbB9oHwwcAKIQ4gy5c+emSsjk mzVrJvtilqQ9Pj6evJ28TlpeoECBgIAAaSWNGzc2mKN8+fJ0piCNtGT7dHJR rFgx2er58+dfunSpiMOjdWw9gB49ejQDqkybYF9Ef/3117zw0KFDrKpFixaZ rtK3b19LympaeValYErz5s3tavu7d+9mVyKNGTPm1T8/WMhs393d3WC8OMp0 9ZiYGJa76RmWKadPn2bBkydPFpICbF8gOuwu2D7QPhg4AEQh0PYZZPV16tQh decXKvMnkxQtWrRFixb8gueqVaumpKTwSpjt09K2bdt6eHjQacI777zDIitX rhwXF8cjzdr+mjVrWGHx4sWHDh06Z86cYcOGFS5cmBUGBQWJPVaaxTGq3LFj R4Pxip3IyEheePjwYVbV3LlzTVeZPn06W3ry5EnlyrMwBVPsavvnz5+nU06q v1OnTunp6a8s2D67P5fOGVmMlJcvX1IKtPTjjz9W2FBCQoK/vz/7eYV2Tvoo JAXYvkB02F2wfaB9MHAAiEKs7ffq1SsqKooVhoSEcOEnXd+5cycrT05O5jdF BgcH80r8/PxoFVnNw4cPZ5H79+/nhaa2HxsbW6pUKSpp2rRpTEwMjySZLF26 NJU3bNgwQ4dE23CAKpOus1WGDBkiLU9KSmLlnTt3Nl3r119/ZUv37NmjXH8W pmCK/Wz/zp077DIh2jEeP37MCs3aPt8DL126ZFoPr8TsVuiUs27duuwKK6JV q1YXL14UlQJsXyB/AqdFzTSBNDopGDgARCHQ9kneZOWffPKJwfiwcdklN7t2 7WLb3bBhg3LN165dY5Hz58/nhaa2z0qoGVevXpXVMG/ePFpExhUfH281kUyi 5ugjJQOqTKczrEvv3r0rW1SlShVWG7m9tPzhw4dDhw5liw4dOqRcf9amIMNO tp+amlq/fn2D8YckaRvM2r6Pjw9LsFatWrLXFoSFhbEbdd3c3MxuiN/UYDA+ esjLy0vl+87Ua4xyDfbe4bMNjnNTIBo10wTS6KRg4AAQhUDbHzt2rKy8f//+ VJ4vXz5Z+aVLl9h2Fy1aJC1PSUkJCQkhP+/SpQuZHvkV+2beYLzamYeZ2j7T KhKqrSZMnDiRBcsu/rcHao4+UmxV5e3bt7N4Ssp06cGDB/mDZciQhw8f7unp 2b59e3a9CoPOhpQ3kbUpyLCH7b98+bJdu3ZUbcGCBWVf15u1/efPn7dq1Yq1 mVbp2bMn7ee9e/euU6cO79WvvvrK7La2bds2YcIEmgU1a9ZkkfSP5OTkTKbA gO0LRIfdZetM1yCw/WwPBg4AUdjV9tmzDU1tPyoqim134cKFvDAsLIxfqG+K su03aNDA0oqcwMDADB4XVWNXVSbtrFq1KgUXKVKETovMxqxdu5Y91lJKzpw5 2eXlLi4uT548Ud5KlqcgxR62f/z4cdZgf3//pH/DTi07duzIPvL33pKff/jh h6Z7FLuMh/juu++stmr58uUsWM0tvbB9B6PD7oLtA+2DgQNAFEKcwZLtjxo1 ymDO9qOjo9l2ue0fO3aMa2q9evU8PT3Jjnbu3BkcHMwKlW2/XLlyBuODUz61 jOlNAcKxqyp7e3uz4Pnz5yuEJSYmUkC/fv06dOjg4eExe/bsGzdusLtiS5Ys aXUrWkiBYw/b53uUVei8QLri4cOHaX/u0qVL586daVffvHnzuXPnWCTlpaZh 7PIhOqfIZAoM2L5AdNhdsH2gfTBwAIhCI7bP74VctmyZLJjd5Khs+25ubgbj ldU2He+EYz9VTk1N5W+eTUtLU78J4tmzZyVKlKB16ZTHarCmUsha26dI5Q0t WbKERYaGhqppGL+M3+rFPLB9B6PD7oLtA+2DgQNAFBqx/dq1a9PHt99+27Ry Nbbv4eFhMN6lSzWrP94Jx36qPHXqVBa5atUq9fUzZs2apVJfX9nT9jOQgj1s /8WLF3ctwB7r9Nlnn7GPFKmwlaSkJHby8p///Edlw9jtyfnz5+fXCGUsBQZs XyA67C7YPtA+GDgARKER2+dPI+fv3mX8/vvvLFLZ9vnD9jt16mTavMTERG9v b6tZZB47qTKZJ7vMqVq1asoKanYT1P+0bsuWLdXEayoFe79dS4bZu3TN8ujR o86dO7PEjx07Jl20a9eu69evm65CYewFcx9++KHV+mH7DkaH3QXbB9oHAweA KDRi++3bt2cl/fv3P3LkyM2bNwMCAvr27cufVa5s+wR/ja+7uzspaEJCAkl+ cHDwggULKleuTOXSN3nZCZUH0NTU1GQjgYGBrM3+/v6shBaZxg8cOJCFbdu2 Tbnmw4cPh4aGpqWlJSUlHT9+fMiQIawDCxQoEBISYrVhr1Srsv1SeP78efI/ NGnShFZ57733eImaMwXhtk9u7+PjExcXR1u/du2ar68v26MMxvdHy4I///zz nDlzUvn27dspmFa5ffv2vHnz+Dvmtm7dKiQF2L5AdNhdsH2gfTBwAIhCI7ZP Ws6fHimFPUxGje2Hh4dXqlSJr5gjRw5Zhdqxff42YVOqVatmOgQskUaNGlmt mc6PTOusUaOG1QdvykY8C1PgP9OYxc/PT1QKpliy/ZiYGNOW0A42bdo00xfs ku1Lw/jpKmPAgAFqWgLbdzA67C7YPtA+GDgARCHEGfLmzWswPodQVj5mzBiD 8T1KsnKuT4sXL+aFJHLsQmiuSe7u7qdPn86ZMyd9nDJlCo/kF6LLXphFHydM mFC4cGGZlbVs2fLnn3+2+XBoOyoPoBUqVLBks9WrV5cFd+/enS06fPiw1Zql tk8nSnXq1PH09DT7ZbvyiGdhCmvXrrVUM7F582ZRKVhKilorK5fZfvHixT/5 5JMDBw6YreTQoUOdO3fmb5HmVK5ceceOHSpbAtt3MDrsLtg+0D4YOABEoSln iIuLI1lavXp1QEDAtWvXMlxPdHR0UFAQydXZs2cTEhIEtlCZLD+A3rt3b//+ /f7+/mFhYbY+uoeR5SlkHuEpvHz5kvqTdqc9e/bcuXNHzSrPnz+nnfD333/3 9fU9cuSIyrU4sH0Ho8Pu0slMh+07NRg4AEQBZxCITg6gGkcnKWDmCkSH3aWr aQJpdFIwcACIAs4gEJ0cQDWOTlLAzBWIDrtLV9ME0uikYOAAEAWcQSA6OYBq HJ2kgJkrEB12l66mCaTRScHAASAKOINAdHIA1Tg6SQEzVyA67C5dTRNIo5OC gQNAFHAGgejkAKpxdJICZq5AdNhdupomkEYnBQMHgCjgDALRyQFU4+gkBcxc geiwuxwzTdLT0x89emSnymH72R4MHACigDMIRCeeqXF0kgJmrkAUuuv69est VPPZZ585uOUZxtZpQt7eqlWrhg0bnjlzRjnyxYsXGzZsGD58uJubW4ECBWgv zZs3r7+/v8Iqfn5+VHO/fv3Ut+cVbF8HYOAAEAWcQSA68UyNo5MUMHMFotBd 58+fN6jmzTffdHDLM4yt02Tz5s0sx3379imExcXF0VmPac+sXLnS0ioPHz4k 1aeYDz74QH17XsH2dQAGDgBRwBkEohPP1Dg6SQEzVyAK3RUVFdXDBFdXV+r8 UqVKycoHDRrk4JZnGJXTxM/Pb/bs2e3atWPvNFe2/bCwsDJlyrCwJk2aTJs2 bevWrVSDp6en6VrXr19ftmwZLapYsSJbBbYPZGDgABAFnEEgOvFMjaOTFDBz BWJrdxUvXpw6v23btvZrkr1ROU3eeust2bf0lmw/PT29Tp06FJAnTx4vLy/6 qFzz6tWrZTXD9oEMDBwAooAzCEQnnqlxdJICZq5AxNp+aGiot7f3ypUr2ce7 d++SIdPHLVu20Mf79++vWLGCAv744w/ZileuXPE2EhsbK1sUFRW1fPnywYMH t27dumfPnjNnzrx06ZL6BpuicprMmzfveyNdu3ZVtv1t27axgBkzZlitlqD0 v/+HsmXLwvaBKRg4AEQBZxCITjxT4+gkBcxcgYi1/SlTprDRuXXr1rfffpsj Rw720dXVlZbGxMSwj/Pnz5et6OPjwxaFhYVJy/38/IoVKyb7Jjx//vxLly61 MdH/Yes0OXr0qILtp6en161bl5ZWrVr1+fPn6qtlNG/eHLYPTMHAASAKNc4A AHA8mZ+5GVZBvWFrd6m0/dKlS0ttM2O2v2bNGlZIGx06dOicOXOGDRtWuHBh VhgUFGR7uv+Pmn1MirLt37lzhy0dO3bskydPQkNDfX19V6xYERgYSPlarRy2 D8yCgQNAFLB9ALRJ5mduxjxQh9jaXSpt32C8WdXLyyskJOTcuXMBAQEPbLT9 2NjYUqVKUUnTpk1pRR4ZGRnJTiUaNmxoU6YcNfuYFGXbP3nyJFtK7ZH9DJEr V67u3bsnJCQoVA7bB2bBwAEgCswmAJwR2L5A7GT7S5YsSUlJkS21yfZnzJhB H3Pnzn316lVZ8Lx582iRi4tLfHy8+pZzxNq+r6+v1KsLFixYs2bNSpUq8RI3 N7e0tDRLlcP2gVkwcACIArMJAGcEti8QO9l+cnKy6VKbbJ/dG1uuXLmtJkyc OJEFh4aGqm85R6ztz549my3t2bPn+fPneXlERET9+vXZorFjx1qqHLYPzIKB A0AUmE0AOCOwfYFo1vYbNGhgsEZgYKD6lnPE2v4PP/zAlt64cUO26M6dO4UK FTIYL/KxVDlsH5gFAweAKDCbAHBGYPsC0aztlytXjj6SLX9qmZCQEPUt54i1 /XXr1rGlx48fN13aqlUrWpQ3b15Lj+uB7QOzYOAAEAVmEwDOCGxfIFli+7Nm zZItMrV9Nzc3+lirVi31bVOJWNs/ceIEW7p+/XrTpd26dWNLHz16ZLZy2D4w CwYOAFFgNgHgjMD2BeJI27979y5b+t1338kWmdq+h4eHwXiXbnR0tPrmqUGs 7cfFxbGlnp6epks/+ugjg/HuA0uVw/aBWTBwAIgCswkAZwS2LxBH2j7Bnpbv 5uYmLYyPj//mm29kts8ftt+pUyfTehITE729vdU3W4pY2yfee+89WponTx5Z tRcuXMiZMyct6tChg6XKYfvALBg4AESB2QSAMwLbF4iDbZ9dn0NMnDjx4sWL 5PaLFy+WPq9S+natZs2asUJ3d3dS7oSEBJL84ODgBQsWVK5cmcpNH/KpBpW2 n5qammwkMDCQNcPf35+V0CJp5OnTp11cXAzG1+meOnWKFVI7q1Spwn6eIO2X xv8fe+8dH0W1//+HEqQIhC69ihSxIKIISLkgl47SREVQQSF0FC4IIqF3aYbQ JKEYQhAQjJTQQYEQeigfDElogZCEkEgvub/3b8/D8507e3Z2ZjO7m5l5Pf/g Qc6858wpc855zu7M7JMnT+78wzvvvEMxdL3AU54+feq0bLB904OOA0AvMJoA MCKwfR3xsO1HRET4iGCfgcts/9SpU9ILgZw5c+bOnVu6l1ttv2LFisKiEjVr 1pQF+/v7861FixYtVKgQ+z9dBdDljCyYf20hJCwszGnZYPumBx0HgF5gNAFg RGD7OqK1uV544QVq/LZt2wq3TpgwgSmuI9snFi5c+Pzzz3MRLViwYEBAwMqV K9mfx44dkwYnJyePGTOG3f8j1f7mzZsHBgaqL7YUlbZfqVIlR0Jeq1Yt+3hy +GLFiskuCg4cOGAfGRwcrGD769atc1o22L7pQccBoBcYTQAYEdi+jnilua5f v75jxw6S3iNHjihcF0hJSEiIjIzctGkTXQ6kpKRk5eha79tXz7Nnzy5evEiF 3Lp1K9XRHYdgwPZNDzoOAL3AaALAiMD2dcSCzeU+2/cYsH3Tg44DQC8wmgAw IrB9HbFgc8H2QfYHHQeAXmA0AWBEYPs6YsHmgu2D7A86DgC9wGgCwIjA9nXE gs0F2wfZH3QcAHqB0QSAEYHt64gFmwu2D7I/6DgA9AKjCQAjAtvXEQs2F2wf ZH/QcQDoBUYTAEYEtq8jFmwu2D7I/qDjANALjCYAjAhsX0cs2FywfZD9QccB oBcYTQAYEdi+jliwuWD7IPuDjgNALzCaADAisH0dsWBzwfZB9gcdB4BeYDQB YERg+zpiweaC7YPsDzoOAL3AaALAiMD2dcSCzQXbB9kfdBwAeoHRBIARUWP7 AJgeNcMEy5xBQccBoBcYTQAYEdg+AP8H2zc16DgA9AKjCQAjgpELgFNg+4YG HQeAXmA0AWBEMHIBcAps39Cg4wDQC4wmAIwIRi4AToHtGxp0HAB6gdEEgBHB yAXAKbB9Q4OOA0AvMJoAMCIYuQA4BbZvaNBxAOgFRhMARgQjFwCnwPYNDToO AL3AaALAiGDkAuAU2L6hQccBoBcYTQAYEYxcAJwC2zc06DgA9AKjCQAjgpEL gFNg+4YGHQeAXmA0AWBEMHIBcAps39Cg4wDQC4wmAIwIRi4AToHtGxp0HAB6 gdEEgBHByAXAKbB9Q4OOA0AvMJoAMCIYuQA4BbZvaNBxAOgFRhMARgQjFwCn wPYNDToOAL3AaALAiGDkAuAU2L6hQccBoBcYTQAYEYxcAJwC2zc06DgA9AKj CQAjgpELgFNg+4YGHQeAXmA0AWBEMHIBcAps39Cg4wDQC4wmAIwIRi4AToHt Gxp0HAB6gdEEgBHByAXAKbB9Q4OOA0AvMJoAMCIYuQA4BbZvaNBxAOgFRhMA RgQjFwCnwPYNDToOAL3AaALAiGDkAuAU2L6hQccBoBcYTQAYEYxcAJwC2zc0 6DgA9AKjCQAjgpELgFNg+4YGHQeAXmA0AWBEMHIBcAps39Cg4wDQC4wmAIwI Ri4AToHtGxp0HAB6gdEEgBHByAXAKbB9Q4OOA0AvMJoAMCIYuQA4BbZvaNBx AOgFRhMARgQjFwCnwPYNDToOAL3AaALAiGDkAuAU2L6hQccBoBcYTQAYEYxc AJwC2zc06DgA9AKjCQAjgpELgFNg+4YGHQeAXmA0AWBEMHIBcIoPAAAAAAAA AAAAAAAAAAAMi7e/ZwCaQccBoBcYTQAYEYxcAJwC2zc06DgA9AKjCQAjgpEL gFNg+4YGHQeAXmA0AWBEMHIBcAps39Cg4wDQC4wmAIwIRi4AToHtGxp0HAB6 gdEEgBHByAXAKbB9Q4OOA0AvMJoAMCIYuQA4BbZvaNBxAOgFRhMARsQdI/f/ APAe+p7MDNi+oUHHAaAXGE0AGBHYPjAZ+p7MDNi+oUHHAaAXGE0AGBH32X6G kTFBFbTiPlX2GLB9IAQdB4BeYDQBYERg+0JMUAWtwPYVgO0bGnQcAHqB0QSA EYHtCzFBFbQC21cAtm9o0HEA6AVGEwBGBLYvxARV0ApsXwHYvqFBxwGgFxhN ABgR2L4QE1RBK7B9BWD7hgYdB4BeYDQBYERg+0JMUAWtwPYVgO0bGnQcAHqB 0QSAEYHtCzFBFbQC21cAtm9o0HEA6AVGEwBGBLYvxARV0ApsXwHYvqFBxwGg FxhNABgR2L4QE1RBK7B9BWD7hgYdB4BeYDQBYERg+0JMUAWtwPYVgO0bGnQc AHqB0QSAEYHtCzFBFbQC21cAtm9o0HEA6AVGEwBGBLYvxARV0ApsXwHYvqFB xwGgFxhNABgR2L4QE1RBK7B9BWD7hgYdB4BeYDQBYERg+0JMUAWtwPYVgO0b GnQcAHqB0QSAEYHtCzFBFbQC21cAtm9o0HEA6AVGEwBGBLYvxARV0ApsXwHY vqFBxwGgFxhNABgR2L4QE1RBK7B9BWD7hgYdB4BeYDQBYERg+0K8VYVx48aN GDFi8+bNnj+0W23/0aNHaWlp6uPT09NTU1O1HgW2D4Sg4wDQC4wmAIxINrF9 srtmzZq98cYbe/bscdlXb9y4cfr06TNnzricA0dNFfr169dMkcmTJ2s97vPP P0/dMXToUFcL7jpaVTkzM7Nly5b169ePiooSBly5cmX27NlNmzYtV65czpw5 qV6FCxd+8803g4ODnz17Zp/bzp07/f3969atW6RIEXZaFihQgJpx/fr19vEK J576KqgHtm9o0HEA6AVGEwBGJJvYfkhICCvJhg0bXPbVmTNnskyuXbvmciYM NVV4/fXXfRT56KOPtB7XQLa/bt06Vs1t27YJA1555RVHLfPuu+8+fvxYGkyX aQot2b9/f/UnnvoqqAe2b2jQcQDoBUYTAEbEu7YfHBwcEBDQunVr9tmvEW2/ cOHCPR0QGBio9bjZ3/bDwsKmTZvWvn37XLlyqbH9OnXqfPfdd6GhoStXruza tWvBggXZXqNHj5YGM9unPN9///0ZM2b89ttvERERI0eOzJ8/P4sPDw9XeeKp PEs1Ads3NOg4APQCowkAI+Jd2y9XrpzsU1zD2f6rr76axWNJyf62X6FCBVmX ObL94cOHb968OTMzU5oYGxvLhL9KlSrS9ISEhH79+v3111+yTH799Vd2FH9/ f5UnntMwF4DtGxp0HAB6gdEEgBHxru1PmjTpaxtdunRxavvk8AsWLBg8eHCn Tp0+++yz77//ftOmTWlpaWzrqlWrunbtyjKZM2dO0D/s3r3bZfVVjlFp+8nJ yVu2bJk8efLAgQO7d+/evn37nj17BgQEnD171j7Yke1v3759/PjxtGPnzp2H DBkyb968Cxcu2O8eHx+/aNGiAQMGtGrV6tNPP50yZUpMTIxy8TgqVXnWrFnf 2ujRo4ey7TuCuo/tmJ6e7jT40aNHLLhDhw5Og2H7QAg6DgC9wGgCwIh41/Y5 v//+u7LtL168uGjRoj52FC9enB2L/mO/lejVq5emkkjVVzlGpe2T6gsLlitX rkGDBsmC7W3/8uXLjRs3tt89R44cdJUk3TcsLKxEiRKyMMqQLpHUV1l9L+/d u9c122cXZVT++/fvOw0+fPgwO8q4ceOcBsP2gRB0HAB6gdEEgBExhO3v2LGD 3SVeqFCh9957b8iQIR07dqxcuTLb5cSJExTTtm1bfpNJvXr1GvzDpEmTNJVE qr7KMZpsP0+ePFSYHj16fPnll23atMmXLx8rqkzF7W2/RYsWLLJWrVq9e/fu 27cv5ZM3b15K6datGw9bsWIFCytZsiRdRMyYMWPw4MH8+igyMlJlldX3smu2 //TpU9ZNZcuWVY5MSUkJDw9nvUyVoj+dZg7bB0LQcQDoBUYTAEbEELbfs2dP pvqy21fWrVtXt25dfrOKV+7bJ29vLGLjxo08qzVr1iQmJkr3PX36NPscvkmT JtJ0me2fO3eO1YjUXRoWFxc3cOBAunBgf1LmpUuXprCGDRteuXJFGlamTBlK r1+/vsoqq+9l12yfX5UMHz7cUQxdqrz22ms5cuRgkS1btjxz5oyazGH7QAg6 DgC9wGgCwIgYwvZJYmlT0aJFU1JSFDLJVm/gXLhwofLuvXv3prBixYpJE2W2 HxERwXJTfnU/bfWxfX1gfzP/rFmzfGy3zSQnJyuXxwO2f/78efaILv179epV R2H8iQCifPny1JKy13U6ArYPhKDjANALjCYAjIghbH/MmDFsa5s2bbZv337n zh1hJl6xfT8/v89E7Ny5Uxp86dIlsta+ffu2bt26bt26lSpVYu+WzJ07tzRM ZvtJSUksrHjx4lOmTImPjxeWhOkxifEvdowdO5a1ydGjR9VUWX0va7X969ev V61ale2ydu1ahUg6B6jHv/rqq5dffpnF03+o050eArYPhKDjANALjCYAjIgh bD86OpqsmOsWKXHDhg1HjRols9/s+QZO0tSRI0fy+1JkKNs+8fHHH0vjSZg7 d+4sa6V69eoJM5eyZcsWNVVW38uabP/mzZsvvfQSi586dar6oyxatIjtRRdQ ToNh+0AIOg4AvcBoAsCIGML2CVLKt956S2aw5MajR4/mMdnT9j/44ANWqnz5 8pG6T5o0KTQ0NDIykt3J49T26WJh7ty5RYoUkdWdWuPQoUMspnz58j62bxna OubIkSNqqqy+l9Xb/uXLl2vUqMGCAwICtJ5OdevWpR3LlCnjNBK2D4Sg4wDQ C4wmAIyIUWyfERMTs2zZMn9//zp16nD7WrVqFdvKbf/q1auajm6PXrZP1x3s Z4Lr1at38eJF6SZ2e5JT22fcunVr69atEyZM6NChQ6FChVg1a9asybayV3RS m6itngg32f7Zs2fZb6jlyJFj/vz5LpxO/DZ+pzfzwPaBEHQcAHqB0QSAETGW 7UtZuXIl26VPnz4shT2RSly6dEmb6dqhl+2HhoayIi1fvly2SZPtS0lMTOS3 7sTFxVEKtYCP7SndhIQE5TIr4A7b37NnD/tWwtfXd/Xq1a6dTuwZbWqZZ8+e KUfC9oEQdBwAeoHRBIARMYTtL1iwwP4B1Tt37rCb+b/66iuWsmrVKpbJ9u3b XTNejl62v2TJElakmTNnStOTk5Pbt2/v1PYPHToUHh5uny1/bPn8+fMZkpft d+7c2T44NTU1KChIuS4ZbrD94OBgugDxsd1itGvXLuXcfvvtt9jYWPv0/fv3 sy9HGjVq5LRIsH0gBB0HgF5gNAFgRLxr+zdu3LhqIywsjJVk5cqVLIU28bBq 1aoVLFhw7NixR44cSUtLo5QzZ858/fXXbJfFixezsIMHD7KUBg0axMTE3L59 Oyoqas+ePWpKIlRf5Rg1ts9/CrZSpUo//fRTXFxcdHT0woULq1SpwtKVbX/5 8uU+trfor1+/nl3v3Lx5c+vWrZQbpVeoUIG/nqhJkyYswxYtWpCHp6SkkOQf OHBgzpw57E046enpaqrstHPv3r17xwb/jWC6HmEptImHUU9xPaYybBXxxx9/ 8Pj3338/V65c3bp127hx48WLF58+fXrt2rVZs2bxBxZ++eUXlSeeayetMrB9 Q4OOA0AvMJoAMCLetX32eKmQ6tWr8zCyfZ7+3HPPSR9ZbdasGVk9jyTPl+XT q1cvNSURqq9yjMqndDt27Oiojiptn1OiRAn2QTdB/wkNDeU7njp1il9BsK3S txj56Gf7FStWdFSXmjVr8jC6yFKotX082b50k+wVRv369VN/4rlwxjpFWhh3 5A/cCjoOAL3AaALAiLhj5Kq3/QoVKjhSwZdeeomHrVmzpkWLFlx0GYULFx41 apTsN2pjYmKaNm0qDeP3+WhCTRXeeOMNyp+cXzns6tWrH374obRIJUuWnDhx 4ujRo31sN9tLg9kTuMOHD2d/Xrx4cdiwYez3cKU0btx427ZtsgMlJyePGTOm aNGi0khqtObNmwcGBqqsstPOZV8rCKlVqxYP27dvn6MwTu3atXn8rl27unTp wn5cQErVqlU3bdqk6cTTerqqQVokd+QP3Ao6DgC9wGgCwIi4Y+S6cN++GlJT U0+cOPGrjePHjyv8rm58fHxkZOTu3btlr8FRj+5VoMuQtWvX0mXL3r172c1I mqAa0Y5hYWF79uxx9BtbnISEBKo+SfKxY8eUf31YivtUWT1PnjyhwtOVQmho KNX0+vXrmnaH7QMh6DgA9AKjCQAjYiDb9yQmqIJWsoPtZxHYPhCCjgNALzCa ADAisH0hJqiCVmD7CsD2DQ06DgC9wGgCwIjA9oWYoApage0rANs3NOg4APQC owkAIwLbF2KCKmgFtq8AbN/QoOMA0AuMJgCMCGxfiAmqoBXYvgKwfUODjgNA LzCaADAisH0hJqiCVmD7CsD2DQ06DgC9wGgCwIjA9oWYoApage0rANs3NOg4 APQCowkAIwLbF2KCKmgFtq8AbN/QoOMA0AuMJgCMCGxfiAmqoBXYvgKwfUOD jgNALzCaADAisH0hJqiCVmD7CsD2DY3LHfd/AJgXD48mAIAXge0LMUEVtJKV +T+b4L4qwPYNDWwfAHs8PJoAAF4Eti/EBFXQSlbm/2yC+6oA2zc0WbR9bw/N LGGCKngM67QVbB8AqwHbF+Lej1SAO9H3ZGbA9g0NbN/bpTAG1mmrrEyVmAYB MCKwfSGe9VOgJ/qezAzYvqGB7Xu7FMbAOm2VlakS0yAARgS2L8QEVdCK+1TZ Y8D2gRDYvrdLYQys01awfQCsBmxfiAmqoBXYvgKwfUMD2/d2KYyBddoKtg+A 1YDtCzFBFbQC21cAtm9oYPveLoUxsE5bwfYBsBqwfSEmqIJWYPsKwPYNDWzf 26UwBtZpK9g+AFYDti/EBFXQCmxfAdi+oYHte7sUxsA6bQXbB8BqwPaFmKAK WoHtKwDbNzSwfW+XwhhYp61g+wBYDdi+EBNUQSuwfQVg+4YGtu/tUhgD67QV bB8AqwHbF2KCKmgFtq8AbN/QwPa9XQpjYJ22gu0DYDVg+0JMUAWtwPYVgO0b Gti+t0thDKzTVrB9AKwGbF+ICaqgFdi+ArB9QwPb93YpjIF12gq2D4DVgO0L MUEVtALbVwC2b2hg+94uhTGwTlvB9gGwGrB9ISaoglZg+wrA9g0NbN/bpTAG 1mkr2D4AVgO2L8QEVdAKbF8B2L6hge17uxTGwDptBdsHwGrA9oWYoApage0r ANs3NLB9b5fCGFinrWD7AFgN2L4QE1RBK7B9BWD7hga27+1SGAPrtBVsHwCr AdsXYoIqaEXr/P/o0aO0tDT18X///bf64KdPn96/f199PAO2D4TA9tVEHjp0 KCQkZJaNwMDA06dPu7loWWLp0qWLFy/eu3evjnlmw+6mTqFqLlmyJDk5Wcds YfsAWA3YvhCFKsTGxjZTTadOnTxccpdRM/9fuXJl9uzZTZs2LVeuXM6cOenM KVy48JtvvhkcHPzs2TPhLrt27eratWulSpUouGjRoq1atZo/f76j/Mnw//Of /7zzzjv58+en/F9++eXPPvvs4sWLmk48lcGagO0bGti+07CgoKAv/5dt27Z5 oHiucefOHVbIn376Scdss2F3r1u3jtX02rVrOmYL2wfAasD2hShU4eTJkz6q KVKkiIdL7jJq5v9XXnnFUU3ffffdx48fy+JDQkJ8fX3tg/v06fP06VNZcEpK Cnm+fXCJEiWOHj2q/sRTf6KqB7ZvaGD7yjEHDx7kkv/9998HBgaOHz9+3759 nimhC8D2swhsHwCrAdsXolCF+Pj4nnYwpy1durQs3d/f38Mldxn1tl+nTp3v vvsuNDR05cqVXbt2LViwIDuLRo8eLQ0mRWfpJUuWnDlz5v79+5cvX/7WW2+x xEmTJskyb9euHdvUpUuX8PDwyMhIyjB37tyU4ufnd/fuXZUnntbTVQ2wfUMD 21eOmTt3Lvlk//79jVJZ2H4Wge0DYDVg+0K0VoGElpqxTZs27iuSu1Ez/w8f Pnzz5s2ZmZnSxNjYWCb8VapUkaZ/9dVXlJgnT56DBw/yxNu3b1erVo3SK1eu LM2H1rJcuXJRevv27aU3Bc2fP5+dosHBwSpPPKdhLgDbNzSwfeUYungnn6RL cs8UKevA9rMIbB8AqwHbF6Kv7R89ejQoKGjJkiXsz5s3b27bto3+XL9+Pf1J Arx48WIKOHHihGzH8+fPB9lITEyUbYqPj1+0aNGAAQNatWr16aefTpkyJSYm Rn2B7cnK/N+pUyd2IqWnp7OUe/fuFSpUiFI6duwoC/7xxx9Z8K5du3jixIkT WSI1gjSYrghY2zZu3FjliedaFZSB7Rsa2L7C1l9++aV///7kk2PHjv3lH6Kj o6Ux4eHh8+bNo4uCGTNmhISEnDp1SpbPyZMnaa+NGzempaWdOXPm559/njp1 6oQJE1avXs2ntevXr//6668LFy6kfGbNmkUem5KSYp/Phg0baD6kANp9+vTp NMvRXjRnSsOUbV9NgV1oK3ZcqiPV9NixY6mpqVu3bg0MDKSjzJ8/PyIiIikp iYUdPnx45cqVkydPDggIoLocP37ctWpmKNq+y9XMgO0DYD1g+0L0tf3x48ez dr569SrN2+z5VsLX15e2Xrlyhf05e/Zs2Y60VrJN0sWXCAsLK1GihM//8vzz zy9YsEBjRf8fWZn/u3btSgXIkSMHf5EOrXe8UrLgc+fOsU3ULDzx3//+t4/t mV/7p327detGm3LlyuXoQWDZiedaFZSB7Rsa2L6jrdu3b/9SxIoVKzJscrt5 82Z2LSCDpiZpPqGhoSydrPWrr76SRtKfNBvs27dv6NChskxIU2Wvmhk3bpyw PAMGDDh69CgPc2T76gvsQlsRZPgsNyrn6NGjZYeYNm1aQkICmb8snVogMjLS hWpmOLD9LFYzA7YPgPWA7Qtxk+2XKVNG6o2u2T4txCyRDjpo0KAZM2YMHjy4 aNGiLFG2rKjH5fn/6dOnFSpUoEOXLVuWJ/7666+sPDt37rTfJU+ePLSJViue 8vrrr1NKo0aN7IMnT57MskpKSlJz4rlQBafA9g0NbN/R1iNHjkydOpWJIk0m U/8hIiKCtm7cuJFtIlFftWrVli1b6F+abVii9DFebvuMIUOGTJ8+fdSoUfbe S5PhpEmTuKmStUrLwzR4xIgRc+fOpYlu6dKlXKopz+vXr7MwR7avvsAutFWG xPY533//PU1Q/v7+snQqALUAVYT9OWzYMOkXGSqrmeHA9rNYzQzYPgDWA7Yv xE22T7zzzjsLFy6kRfb48eNspdNk+4mJiaVLl6aUhg0b0o48Mi4ujl1K1K9f X1NNOS7P//zqY/jw4TxxyZIlLDEqKsp+F3Zt8sEHH/AUVnhqQPtgfuv+6dOn 1Zx4LlTBKbB9QwPbV44hFyVLnDdvnjSRppcBAwZQ+oQJE27cuCFNZ5/Sk6zy RG77X3/99YEDB9LT0zNsTr5gwQIuwMuWLeP5nDhxgiWSKksP+scff5w/f15W PFJ6FkxbWYrQ9jUV2LW2ktr+okWLuIGfPXu2X79+LH3kyJGHDx9mLZCWljZr 1iyWLv3ERmU1M0S2n/VqZsD2AbAesH0hbrJ9Ele2CkjRZPvsg+48efJcuHBB FkzLio/tdhrXfofFtfmf1iz2iC79e/XqVZ7O78M/d+6c/V7suwC68GF/ZmZm snfvdOvWzT6YFkGW1Y4dO9SceFqroAbYvqGB7SvHCG1/zZo1zDMvXboki9+w YYNMQbntSz+CII4dO8bS7e8w+f777yn9m2++UVMFlgl70CnDge1rKrCjA6m0 fbpykW2aMmUK2ySbfkndWbrTb13tq5khsv2sVzMDtg+A9YDtC3GT7dMiZb9V k+336NGD/ixfvvwvdowdO5YFy+78VIkL8//169erVq3KDrp27Vrppu+++46l C38bq3LlylLbf/LkCV2kUMpHH31kHxwSEgLbB1kBtq8cI7T9OXPmUGK/fv22 27Fo0SJmlSdPnmTB3PZlz5nGx8ez9LCwMNlB2f3t9u8oTkpKOnToEE195M+j R4/mN6gQP//8M4sR2r6mArvWVtz2aVKSbVq8eDHblJaWJk2/cOECS9+0aZPW amaIbD/r1cyA7QNgPWD7QrKt7derV8/HGVu2bFFfco7W+Z+W9ZdeeokdcerU qbKtCxYsYJto3bHflz1i3LZtW55SrFgxSunUqZN9MH+Hj9Pf2ILtAyGwfeUY oe3bP4Vqz8GDB1mwI9u/fv06S1+7dq3soOzXe/v37y9NjIqKGjJkiKPDKdu+ pgK71lYKtr9ixQqh7cfFxdnbvspqZohsP+vVzIDtA2A9YPtCsq3tly9f3sf2 a1NtHXPkyBH1Jedomv8vX75co0YNVraAgAD7AFqk2NY//vjDfmu+fPlo0+ef f85TatWqRSktW7a0D54+fTrLihpKzYmnsgqagO0bGti+cozQ9tmnzf369Zvn mHPnzrFgR7afmJjI0u1tn30YLrX9Q4cO8ff5fP/99yS9O3fupKmP3+SvbPua CuxaWynYfnBwsND2+bcb3PbVVzNDZPtZr2YGbB8A6wHbF+IV2586dapsk73t N27c2Mf2a7bqy6YS9fP/2bNny5Ur52N7RmD+/PnCmH379rGSr1q1Srbpxo0b bJP0t3ebNWtGKVWrVrXPiv1KF/Ho0SM1J56aKmgFtm9oYPvKMULbp6v4L9U9 8pmhk+3zm2EiIiKkzzfdunVLje1rKrAQz9i++mpmiGw/69XMgO0DYD1g+0I8 afu0PrKto0aNkm2yt/0+ffr42J7STUhIUF88Naic//fs2VOkSBEf2+tDqXiO wkjp2c8KUIFlm2jdZ5WiFZMn0qLPEqWP+jLYlwiVK1dWeeI5DXMB2L6hge0r xwhtn98EHhsb6/Qoutj+N998QynDhw+XzZMqbV9TgYV4xvbVVzNDZPtZr2YG bB8A6wHbF+JJ2yfYGykbN24sTUxOTv7iiy9kts9fd9m5c2f7fGgxCgoKUl9s KWrmf1rR2Kvy/fz8pL+EK4T9YBa1jPQ9+ZmZma1atfKxvcPn7t27PJ3/Gpf0 J7eIP/74g6UL7xcSnnhOw1wAtm9oYPvKMULb37FjB7PKSZMm3b59W7YLXc6H h4fzdF1sn71A0t/fX5YJTTVqbF9TgYV4xvbVVzNDZPtZr2YGbB8A6wHbF+Jh 22f35xBjx449c+YMuT2tvFWqVOGGKX1Xc5MmTVhiixYt9u7dm5KSQmvQgQMH 5syZw96QY/+STzU4nf+PHDnCy0PH2ipCepc+LTos+N133z19+jR5Pi39tNKx xL59+8ryr127NqXnzJlz+fLl1FCPHz+mSr3wwgss0elN+/+F7QMHwPaVY4S2 T2Nw4sSJTCy//fbbffv2xcXFkbsePHhwzZo1gwYNkrq9LrY/Y8YMFvzDDz/Q 4WJiYshsp0+f/uU/KNu+pgK71la62L76amaIbD/r1cyA7QNgPWD7Qjxs+xER ET4icuXKZW/7p06dkl4IkAmzl9Vz3GT7e/bsERZSSs2aNXn8kydPPvzwQ76p QIEC0jB7eye39/Pz4xVnT/L62J4OoPVR/YnnwhnrFNi+oYHtK8cIbZ+4ePHi yJEjv3SMvrZ/8uRJ/viqEGXb11Rg19pKF9tXX80MB7+lm8VqZsD2AbAesH0h WqvAPoJu27atcOuECROYtTqyfWLhwoXPP/88V8qCBQsGBASsXLmS/Xns2DFp cHJy8pgxY9j9P1Ltb968eWBgoPpiS3E6//MHbxWoXbu2dJfMzExaldjPbzF8 fX1bt259+/Zt4SFiYmLq1KnD3r3PKFWq1Jo1azSdeCqDNQHbNzSwfeUYdic5 TUH2m1JSUsjkZa+LJFmdPn36jh07+ITGpJTSk5KSpLuTdrJdpL8YxVi2bBml Dxo0SJq4f/9+dunBoQOdOHGC6TF/aX96ejr77Vp761ZZYNfaiiYuVhL7Hwtb tWrVl7ZX5chs/8qVK6wM7JfTNVWT+OWXX1iA9Gdzs1jNDNg+ANYDti/EK1W4 fv06TdTBwcFHjhxxOl0zEhISIiMjN23aRJcDNP9n5ejuU2Vy/vPnz5MPHD58 +MGDB07jqe67du2iSqm5e0cKbB8Ige1nPZ/ExMRTp04dPXo0NjY2NTU16xk6 Ijk5+fTp0/v27YuOjpb9Mq8mXCiwJ7vbi9XMgO0DYD1g+0JMUAWtuE+VPQZs HwiB7Xu7FMbAOm0F2wfAasD2hZigClqB7SsA2zc0sH1vl8IYWKetYPsAWA3Y vhATVEErsH0FYPuGBrbv7VIYA+u0FWwfAKsB2xdigipoBbavAGzf0MD2vV0K Y2CdtoLtA2A1YPtCTFAFrcD2FYDtGxrYvrdLYQys01awfQCsBmxfiAmqoBXY vgKwfUMD2/d2KYyBddoKtg+A1YDtCzFBFbQC21cAtm9oYPveLoUxsE5bwfYB sBqwfSEmqIJWYPsKwPYNDWzf26UwBtZpK9g+AFYDti/EBFXQCmxfAdi+oYHt e7sUxsA6bQXbB8BqwPaFmKAKWoHtKwDbNzSwfW+XwhhYp61g+wBYDdi+EBNU QSuwfQVg+4YGtu/tUhgD67QVbB8AqwHbF2KCKmgFtq8AbN/QZNH2ATAlHh5N AAAv4j7bB8Ar6HsyM2D7hga2D4A9Hh5NAAAvAtsHJkPfk5kB2zc0uJNH9yY1 JdZpq6zUFNMgAEYEd/IIMUEVtGKClQ62D4TA9nVvUlNinbaC7QNgNWD7QkxQ Ba2YYKWD7QMhsH3dm9SUWKetYPsAWA3YvhATVEErJljpYPtACGxf9yY1JdZp K9g+AFYDti/EBFXQiglWOtg+EALb171JTYl12gq2D4DVgO0LMUEVtGKClQ62 D4TA9nVvUlNinbaC7QNgNWD7QkxQBa2YYKWD7QMhsH3dm9SUWKetYPsAWA3Y vhATVEErJljpYPtACGxf9yY1JdZpK9g+AFYDti/EBFXQiglWOtg+EALb171J TYl12gq2D4DVgO0LMUEVtGKClQ62D4TA9nVvUlNinbaC7QNgNWD7QkxQBa2Y YKWD7QMhsH3dm9SUWKetYPsAWA3YvhATVEErJljpYPtACGxf9yY1JdZpK9g+ AFYDti/EBFXQiglWOtg+EALb171JTYl12gq2D4DVgO0LMUEVtGKClQ62D4TA 9nVvUlNinbaC7QNgNWD7QkxQBa2YYKWD7QMhsH3dm9SUWKetYPsAWA3YvhAT VEErJljpYPtACGxf9yY1Jdmqre7fv//48WM3ZQ7bB8BqZBPbT0lJuXLlipvW O87GjRtHjBgxYcIEp5HeWuXHjRtHJdy8ebPnD52tVrr09PSbN29q3Qu2D4R4 0vbp1G3WrNkbb7yxZ88elwfjjRs3Tp8+febMGZdz4GgdFJmZmS1btqxfv35U VJTKXRITE9u1a0d7TZ8+XU383LlzW9qgHdUXzAPo21YHDx5s6YyePXvK9oqP j//444+rVauWI0cOX1/f2rVrDx48OC0tLUsVswO2D4DV8KLtnzt3bvLkyY0a NSpTpgzNbFSMQoUK1a1bd9GiRXfu3Mn6MmfPgAED6ChFixZ1GqmmCv369Wum CNVOawmff/55KuHQoUO17ph1dLeCS5cuKa90gYGBsl3olOjatWvJkiXZaZk/ f36yptWrVz979kz9iae+CuqB7RsaT9p+SEgIO9yGDRtcHowzZ85kmVy7ds3l TBhaB8W6devYobdt26Ym/u7duzRI2S4fffSR0/jQ0FA22xMXL15UXzAPoG9b 8a0KlC9fXrrLTz/9VKBAAfuwUqVKHTp0KKvVkwDbB8BqeNH2a9eu7WgOfOed d1JTU7O4zNmjr+2//vrryjM5rX1aS2gg23dqBceOHVNuH+oOafzixYtz5crF NpEP8P8TrVq1evr0qcoTT30V1CMttjvyB27F5Y5Tb/vBwcEBAQGtW7fOmTMn O5yxbD8sLGzatGnt27fn406N7dNleMeOHaUznnL8wYMHn3vuOR5vUNtX2VbH jx//0jEvvPCCz//aflRUVO7cuSnRz89v/vz50dHR+/fv79OnD7s4qlmzpo43 9sD2AbAa7hi5mmy/Vq1aI0eO/Omnn0j2OnXqxHSXGD58eBaXOXvcYfuFCxfu 6YDAwECtJcz+tq/eCrjtN23aVLjerV27lgfT0sYyrF69+vLlyxMTE9PT0+mC onnz5iyTcePGqTzx1J+o6oHtGxoP2H65cuVkF7PGsv0KFSrIyq/G9ocNG0aR zFGd2n5sbGzx4sWlhzCo7bvWVlKSkpLYVE8TKU9kC4qvr++5c+ekwePHj2dH mTJliqajKADbB8BqeNH2Bw4cSL5HUidNPHnyJJsGK1WqlMVlzh532P6rr76q T+FsZH/bV7/ScduXWr0j/P39WfD58+el6Q8ePKhcuTKlv/LKKypPPKdhLgDb NzQesP1JkyZ9baNLly5ObZ8cfsGCBYMHD+7UqdNnn332/fffb9q0KS0tjW1d tWpV165dWSZz5swJ+ofdu3e7b1zPmjXrWxs9evRQabA//vgji1y8eDGbFhRs //bt2y+99JKP7TNqqpShbd+FtpLBprucOXOeOnWKpVDvs8/w6XyQBT98+JDN gWXLltV0FAVg+wBYDS/aviPatm3LSiX9XGv58uW03h06dIj+HxERQTNtmzZt aLKdPHnyjRs3hPnExMTMnDmze/furVu37tu3b0hICP3redtPTk7esmULlZOu bqgw7du379mzZ0BAwNmzZ+2DHdn+9u3bx48fTzt27tx5yJAh8+bNu3Dhgv3u 8fHxixYtoouaVq1affrpp1OmTKFGUC4eR/eVTpPtv/feexSZK1eu+/fvyza1 a9eONuXLl0/liec0zAVg+4bGA7bP+f3335Vtn9yYpiAfO4oXL86OJfsAnNOr Vy9NJdE0rjl79+5VY7A0CbMv40aMGPHffz4EcGT7jx49atKkCQWULFkyLi7u p59+MrTtc1S2lf1R2LchH3/8MU/ctWsXy2ru3Ln2u3z++eds6+XLl9UfSLkM sH0ALEU2tP1OnTqxUiUlJfHEPHnyUMqHH37ItFBKlSpV7F9esWzZMn5TkAwP 2z6pvrAYtFYOGjRIFmxv+zS9N27c2H73HDlyfP3119J9w8LCSpQoIQujDBcs WOC0vhlusAJNtj927FgWHBwcLNtUrVo1SqeLO6eZwPaBEJc7Tnfb37FjB5Pk QoUK0VRGV+4dO3Zkn9wSJ06cyLB93MG/QatXr16Df5g0aZKmkrhpXBMnT54s WLAgxXTu3DkzM/O/zmz/008/9bFdsB8+fPi/tmdR2SGsafsffPCBj+2OHbrw 4Ym7d+9mWc2cOdN+l4kTJ7Ktf/75p/oDKQDbB8BquGPkZsX209LS2B2wpUuX lqYz2+fUqFGjSZMmRYoUYX926dJFGsxXk5w5c9avX/+TTz5p164d/zzNK7ZP 5af1ukePHl9++SWJKy18rDAyFbe3/RYtWrDIWrVq9e7du2/fvpRP3rx5KaVb t248bMWKFSysZMmSdBExY8aMwYMH8ypHRkaqrLL6XlZv+0FBQVeuXLl27dqT J08c5RYVFcWCyYVoaXv48CFL37x5M0tfunSpyhNPfRXUA9s3NNnH9nv27MlU X/bd3Lp16+rWrcu/ifPiO3mcjuvr16+zKZqmVv5NnILtT5gwwcf26UR4eDhL sbLtk66zXQYOHChNp4WPr2X2ey1btoxtpbNLffEUgO0DYDWym+0HBgbyyVCa zm2fhJnWCJYYHx9fvXp1tpTcunWLJd68ebNMmTLM6mlu5Dncvn2b9Fh32ydv byxi48aNPKs1a9YkJiZK9z19+jT7HJ6uWaTpMts/d+4cqzWpuzQsLi6O2ocu HNiflDldHFFYw4YNpT9bQGGsKWhdVlll9b2s3vY51E2lSpWiixHhKr9w4UJf X19+zTJy5Eg6GVi/9+vXT837KGD7QEj2sX0aoWwKSklJUcgk29r+3bt36aqE tlasWFH6ixiObJ+mPpbbtGnTeKKVbZ+dAAUKFLD/PRH2JSZBbi9N//vvv2nO ZJt27dqlvngKwPYBsBrZyvajo6OZ7tK/58+fl25i1ie7BCAmT57MqkD7spQf fviBpZA9yoI9+QZO+6PL6N27N4UVK1ZMmiiz/YiICJab8qv7WSNQE9nfzD9r 1iym2cnJycrl8YDtc/LmzXvw4EH7XWbPnm0fTKqv6cRTXwX1SMvjjvyBW3G5 43S3/TFjxrCtbdq02b59u6MfFsmetv/s2bP27dv72F5EFhMTI90ktP0DBw6w 92326dNHmm5Z29+4cSOLHzt2rP3WnTt38rcbvf3220OGDKGFoEOHDuymKQbN 8OqLpwBsHwCr4Y6R65rt0y78/tUVK1bItjLbHzlypCydv/Wdf4z/xRdfsPXI /o397rB9Pz+/z0TQ1C0NvnTpEvl/3759W7duXbdu3UqVKuXPn9/H9vI6aZjM 9pOSklhY8eLFp0yZEh8fLywJe2C2fPnyv9jB74c/evSomiqr72WnKx0Vftq0 aVu2bKFDU86HDx8ODg5u0KAB24suc65fvy6NDwoKYr08YsQI6ikKYJE5c+Yc NWrUo0ePVJ546qugHti+ock+th8dHc2Nzsf2sUbDhg3p9JYN7exp+3SFzjaF h4en/S/sO8QPPviA/cl+Do/dhVivXr1bt25Jg+fPn8/yiYqKoj/v3bvnQte4 A7fa/pMnT2rUqMGmvvT0dGEMzZD2j5vlypWLfemZI0eOBw8eqC+eArB9AKxG NrH92NjYF198kRVm/Pjx9gGObJ+mWbZXREQES2nUqJGPg9vpvfIGzjt37lCx +c9HylC2feLjjz+WxletWrVz584ykaD1VJi5FLJuNVVW38uuPaFGsFuXidWr V/NE9h2Ej+1tfizl4cOHtPbRJQxLf++991SeeJoKoxJpS7ojf+BWXO443W0/ wzZlvfXWW7LhSQN/9OjRPCZ72v6BAweczjMM9s3dv/71LzXBdFHgQte4A7fO gUFBQSx49uzZCmGpqakU0Ldv344dO/bp02fatGmXLl1iD/a+8MIL6sumDGwf AKvhjpGrdYk8e/YsV/1vv/1WGOPI9nfs2MF25LZfpUoV+rN58+b2mXjF9tlE 7WO7w5/UfdKkSaGhoZGRkexOHqe2TxcLc+fO5c8jc0gY2PtICabEfn5+bR1z 5MgRNVVW38su2/6FCxfYjlRNlvLkyRNWwcqVK8uCb9++zX9zWXjzj/2Jp6kw KpG2vDvyB27F5Y5zh+0zYmJili1b5u/vX6dOHX5qrVq1im3ltn/16lVNR7fH K7ZPkf9VbfsU5kLXuAP3zYF3797lP57LX0GgksePH5cqVYr2pWlc044KwPYB sBruGLmalsioqCj2LTAxY8YMR2HqbZ/dK5JNPtu/du1azpw5fWxfZ/OHixns Dl6nts+4devW1q1bJ0yY0KFDh0KFCrEq16xZk21lr+gkbXBaLwU8ZvsPHjxg O/K7fKllWEr//v3t46dPn862BgUFKecM2wdCXO4499m+lJUrV7Jd+vTpw1L4 V12XLl3SNozt0HFcP3369KYD2FsCOnXqxP6kSIpPT08XBvPHc+j6nf50dFuL 53HfHBgQEMAily9frrVUU6dOZfuyayhdgO0DYDW8a/uk6H5+fkx6ly5dqhCp 3va7d+9OfxYsWJC/pYfjedsPDQ3lk7xskybbl5KYmMhv3YmLi6MUkgQf21O6 CQkJymVWwGO2f/LkSbbj+PHjWcpff/3FUqiD7OPXrl3Lts6bN085Z9g+EJJ9 bH/BggX2T9/cuXOH3cz/1VdfsZRVq1axTLZv3+7acOZ4Zlw7/S1dKVZ7Speu aNjEXrNmTXYdpOkQ7HXNzZs317SjMrB9AKyGF21/0aJF7OGjwoULO72rXL3t 8x8ikb0VhyS5WbNmHrb9JUuWsMLMnDlTmp6cnMzebqFs+4cOHQoPD7fPlr/Z g725iL9sv3PnzvbBqampQUFBynXJcIMVkO0InynjtzZRp7OUzMxMOgd8bF9z 23/Qx98+Fx0drebEU18F9cD2DY0HbP/GjRtXbYSFhbHDrVy5kqVIf+y7WrVq BQsWHDt27JEjR9LS0ijlzJkzX3/9Ndtl8eLFLIw/D9ugQYOYmJjbt29HRUXt 2bNHTUlcG9d37969Y4P/GiDNPCyFNjnd3VK2r7Wt+vfvzy8AlXPevXv30aNH Hz58SOcGnQMDBw5kD3zROUMnjIu1EgHbB8BqeMv2+U8HElOmTLF/mQxBJs/j 1ds+La/slWW0yw8//ECLKTnzrFmz+P1CnrT9w4cPs4NWqlSJ1ri4uDhSVroM YQ8XOLX95cuX+9jeor9+/Xr2keDNmze3bt1KuVE6rbD8DX7sh+l9bI+8kYen pKSQ5B84cGDOnDlVq1aldLJoNVV22rnqVzrqhZIlSwYEBOzbt48K8+jRo+PH j7dt25bt9fbbb7MXdzD69evH0lu2bMnf1UMBS5cuZbdCvfbaaypPPI1nqypg +4bGA7bPHye3p3r16jyMv1OdeO6556TP4zRr1oysnkfyt1dxevXqpaYkro3r ihUrOip/zZo1ne5uKdvX1FaUIfvi5q233nKa8+eff26fZ+3atfV68aa0VLB9 ACyFO0aumiWSv0leAekqqd72MyQf7wvx8FO6HTt2VCiMGtvnlChRgqmvj+29 lKGhoXzHU6dO8SsItlX6oj8f/Wxf/UonfU20j+31cfz/xYsXP3v2rDT4/v37 r7zyCtuaP3/+xo0bt2vXjl3UEKVKlUpISFB54mk9XdUgrYg78gduxeWOU2/7 THeFvPTSSzxszZo1dD3ORzGjcOHCo0aNkv0AX0xMTNOmTaVh/D4fTagcFHys 2VOrVi2Vu3/yySdqWjU4OJjlHBsbqybeY7ijrahN2Kbdu3c7zVlq+76+vrS4 0Fqg5rsVrcD2AbAa7hi5apbIrVu3OpowOTVq1ODxefPmpRRaE2X57Ny5kwVT htL0BQsWsB92Yfj5+c2ePZvdty/7QSuFJVI55o033qDcyPmVw65evfrhhx9K 61WyZEm6Hhk9erSP7QsIaTB7Anf48OHsz4sXLw4bNox/K8EhGd62bZvsQMnJ yWPGjKFrGWkkeUXz5s0DAwNVVtlp56pf6aZOnfraa6/JYugapFevXikpKfY5 06I2btw49vsC0njqNWG8oxNP5VmqCWmR3JE/cCsud5x629dEamrqiRMnfrVx /Phxhd/VjY+Pj4yMJFGUPeOvHvcNCvPh9ba6devW9u3bw8PDo6Ojtb66RxOw fQCshjtGrpuWSK3QGrpnz56QkBCaOR39ZqUjdK9CTEzM2rVr16xZs3fvXna/ riZo0acdw8LCqEaOfmOLk5CQQIawadOmY8eOKYiEDDetdHQNQsXYvHnz+vXr qRGc/kjWvXv3Tp48ScGrV6+OiorS9L4O2D4Qkt1s35N43WANhHXaCrYPgNUw se1nBRNUQSsmWOlg+0AIbF/3JjUl1mkr2D4AVgO2L8QEVdCKCVY62D4QAtvX vUlNiXXaCrYPgNWA7QsxQRW0YoKVDrYPhMD2dW9SU2KdtoLtA2A1YPtCTFAF rZhgpYPtAyGwfd2b1JRYp61g+wBYDdi+EBNUQSsmWOlg+0AIbF/3JjUl1mkr 2D4AVgO2L8QEVdCKCVY62D4QAtvXvUlNiXXaCrYPgNWA7QsxQRW0YoKVDrYP hMD2dW9SU2KdtoLtA2A1YPtCTFAFrZhgpYPtAyGwfd2b1JRYp61g+wBYDdi+ EBNUQSsmWOlg+0AIbF/3JjUl1mkr2D4AVgO2L8QEVdCKCVY62D4QAtvXvUlN iXXaCrYPgNWA7QsxQRW0YoKVDrYPhMD2dW9SU2KdtoLtA2A1YPtCTFAFrZhg pbO47S9cuPBVO86ePevtcnmfLNo+AKbEw6MJAOBFYPtCvDsJg6yg78nMMITt f/PNNz52HD161Nvl8j6wfQDs8fBoAgB4Edi+EO9OwiAr6HsyMwxh+/Hx8X/8 Q1BQEGyfgzt5dG9SU2KdtspKTbP5NAgAEALbF2KCKmjFBCudxW1fCgk/bJ8D 29e9SU2JddoKtg+A1YDtCzFBFbRigpUOts+B7UuB7evepKbEOm0F2wfAasD2 hZigCloxwUpnett/9OjRmTNnjh07Rv9RjtRq+7dv3z558uShQ4eSk5OdBt+9 e/fcuXN0iKSkJKfBmZmZiYmJhw8fppI/fvxYTWF0B7ave5OaEuu0FWwfAKsB 2xdigipoxQQrnVltn4Q5JCSkVq1auXPnZmXIkyfPG2+8sXbtWke7qLT9tLS0 mTNnvv766zly5OAVLF269Jo1a4Txv/zyy5tvviltjZIlS3bp0oUuQOyDb926 5e/vX6hQIR7s6+tbp06dH3744f79+1obISvA9nVvUlNinbaC7QNgNWD7QkxQ Ba2YYKUzpe0nJSXVr1+fHz1//vzFihXjf37++efCvdTY/tatW4sUKcKz8vPz k5r5jBkzZPGhoaHsoiBXrlyvvPLK22+/LS3JrFmzpMF3796l6xG2qVSpUg0a NKhRowa/WilTpgydcllvHJXA9nVvUlNinbaC7QNgNWD7QkxQBa2YYKUzn+1n Zmb++9//Zsdt1arVmTNnnj17RulxcXFffPEFJQYGBgp3VGP758+fJ/2uXLny 4sWLL126xBIPHDhQqVIl2rFgwYKyG3WqV69O6bVq1bp69SpPvHjxYs+ePcuW LXvz5k1p8M8//8wKMHfuXFbm/9ruRAoODqb8AwICXGoPF4Ht696kpsQ6bQXb B8BqwPaFmKAKWjHBSmc+2+cv0uzTp4/91piYGEc7qryT5/Dhw/b30kdGRrJ9 169fzxNJ1HPmzEmJAwYMsM/n6dOnspQxY8awTFJTU2WbSP7pKkahVLoD29e9 SU2JddoKtg+A1YDtCzFBFbRigpXOfLbfoUMHdidMenq6ph1deycPSfulS5d2 7drF9p0yZYp06zvvvEOJuXPnHj16dGxsrHJWO3bsYJm89tprmzZtevjwoaby 6wtsX/cmNSXWaSvYPgBWA7YvxARV0IoJVjrz2X7ZsmXpiN26ddO6o3rbv3v3 7s8//9y7d++XX375ueeek9Z0xIgR0si4uLiqVavyrfXq1Zs2bZrC9wsBAQH8 4d/ChQv36tVrw4YNf//9t9a6ZB3Yvu5Nakqs01awfQCsBmxfiAmqoBUTrHQm s/2HDx8yWx4zZozWfVXafnh4uJ+fH4vMly9fgwYNPvroo7Fjx7LjymyfePDg wezZs2vUqCFtENL+9evX85vzpRw/frxLly758+fnwQUKFBg6dKj0zn8PANvX vUlNiXXaCrYPgNWA7QsxQRW0YoKVzmS2T7CX3vTs2VPrjmpsf8mSJczqSfI3 bNhw7949vol9p2Bv+5yLFy/OmTOnWbNm/NP7vn37Ogq+f//+li1b+vXr98IL L7DgokWLnjlzRmulXAa2r3uTmhLrtBVsHwCrAdsXYoIqaMUEK535bP9f//oX HbFSpUpa73v/888/WWlJ+x3F1KtXjwJatmxp/6CuU9vnnDt3rm7duuxYThv/ 0aNHs2fPzpUrFwX36NFDTUV0Abave5OaEuu0FWwfAKsB2xdigipoxQQrnfls f8KECeyg3377rf3WyzaEO8bFxbEdHb3r8tmzZ76+vhQwc+ZM2abo6Ojnn3/e 3vZ37Njx5MkT+6z4U72//fYbT4yNjXXUF40bN2b3/wi3ugPYvu5Nakqs01aw fQCsBmxfiAmqoBUTrHTms/2HDx/WqVOHHbdnz56JiYksPSUlZc6cOeTk9evX t3/7JUFanjdvXtqrevXqFy5coBTq4q1bt969e5fHsPfqU/78Vfm3bt0aOXIk ++xdZvvLly+nlBo1amzYsEH6RUN6enqnTp1YPM+HjlKzZs3cuXP7+/snJCRI C7Zt27Z8+fJRcP/+/fVpIxXA9nVvUlNinbaC7QNgNWD7QkxQBa2YYKUzn+0T p0+fLleuHD966dKlmaUzmjZtmpaWJtzxm2++4WHly5dnDr969WoeMHnyZLY1 T548r7zySpUqVdifFStWrFWrlsz2f/zxx6JFi7KAnDlzVqtWrVGjRk2aNGHf AhDfffcdD75y5UqLFi340QsXLvz222+3adOGP95btmxZR99KuANP2j5diFH1 3TRIORs3bqTemTBhgtNId49r116y9ODBA+++lFWICeZAlcD2AbAasH0hJqiC VrLVSnf//n37m8mdYkrb/6/to/IxY8YUKVKElyFHjhwvvvjiihUrFPYiDfv8 88+lJS9ZsuTSpUt5QGZmZkBAQMGCBXlA5cqV6UD37t0bNmyYj927gNLT00kv 6bpA9qLOmjVrSrPl7N+/v3379vzJXAbt26tXL6ev69cXd9v+uXPn6NKJLn/K lCnDHlsuVKhQ3bp1Fy1adOfOHXeM1gEDBvjYHnZ2Gql1UNBZ0bJly/r160dF RSmE7dq1q2vXruzCk4rRqlWr+fPnK+dMrTRt2rRu3brRpSJrJU/ezaUGfdvq 4MGDLZ2h8AB+WFgY5azw8HtWgO0DYDVg+0IUqkCi0kw1nTp18nDJXcZNVqAp OD4+/uOPP2Yy4OvrW7t27cGDBzv67Noes9o+58aNG/v27aM2VP9jW7du3aJd duzYceHCBeE9P3QpER0dvXXrVspcZZ5Pnjw5f/783r17jxw5kpSU5DQ+NTX1 wIEDJD/UOw8ePFB5FB1xt+3TierjgHfeeYeqr/todZ/tr1u3jpV827ZtjmJC QkLYQx8y+vTpIzzH2C7sDi4pdHGkuUvcib5txbcqUL58eWHOdKlOsyUFvP32 2y5WRhHYPgBWA7YvRKEKJ0+edDqHc4oUKeLhkruMO6xAU/BPP/1UoEAB+zYs VarUoUOH1J946qugHml53JE/cCsud5wm269Vq9bIkSPpNF68eDFd5vN7nIYP H677aNXd9sPCwqZNm9a+fXv+1IajoXr06FEWULJkyZkzZ+7fv3/58uVvvfUW S5w0aZIsnq70+/fvz7ZSm/j7+1P7bNmyZeHChW764Npl9G2r48ePf+kY9p2X zPZjY2N//PHHoUOHVq5cmeUM2wcA6AJsX4hCFeLj43vawT7pKl26tCydljYP l9xldLcCTcFRUVG5c+emAD8/v/nz50dHR5NF9OnTh33jX7NmTTU39sD2gRB3 2/7AgQPXrl2bnp4uTTx58iQT/kqVKuk+WnW3/QoVKsiush0N1a+++srH9qzH wYMHeeLt27erVavmY7sZjPReGr9hwwaWYcOGDePi4lzoBY+he1s5IikpiZ0b NDdK0+lSUZYzbB8AoAuwfSFaq1CyZElqxjZt2rivSO7GHSud+uDXX3+dttJF 07lz56Tp48ePZztOmTJF5YnnNMwFYPuGxt2274i2bduyQ1+7do0nLl++PCgo 6NChQ/T/iIiIb7/9luaNHj16TJ48+caNG8J8YmJiZs6c2b1799atW/ft2zck JIT+1df2Z82a9a0NKonCUL13716hQoVoa8eOHWWbfvzxR7bjrl27eCKZ/2uv veZj+4aOrghc6AJPom9bKeDv7+9je9r91KlT0vQTJ058+w/s2XzYPgBAF2D7 QvS1/aNHj9L6vmTJEvbnzZs3aXWgP9evX09/0iK4ePFiCqCpXrbj+fPng2wk JibKNsXHxy9atGjAgAGtWrX69NNPSYZJCdQX2B53rHQqg9PS0thn+J999pls 08OHD9mX2mXLllV54jkNcwHYvqHxlu3zd5MmJSXxxDx58lDKhx9++N5778mu hatUqXLmzBlZJsuWLeM3Bclwx337e/fuVRiqhw8fZltnz54t20TX6WwTXaHz xI0bN7LEVatWudD+HkbftlI4Cvse8+OPP1YIa9q0KWwfAKAXsH0h+to+/4D6 6tWrX375Zc6cOdmfvr6+tPXKlSt8AZXtuHr1arYpOjpamh4WFlaiRAnZ0k9K sGDBAo0V/X+4daVTDuY/zzR37lz7rfzFMk7f2QjbB0Jc7risTGV0Dcs+ni1d urQ0ndk+p0aNGk2aNOEvXOrSpYs0mN/aQZNG/fr1P/nkk3bt2vFXoXre9n/9 9Ve2defOnfZbWdWkv6TAvoPIlSvX33//TeN3+/btixcvpkrRURw9z+tFPGP7 H3zwAZv8le9rgu0DAHQEti/ETbZfpkwZ6ULvmu2vWLGCJdJBBw0aNGPGjMGD B3MBiIyM1F7d/x8v2v7u3bvZVvvfdSUmTpzItv7555/KR4HtAyFesf3AwEB2 3IEDB0rTue336NHj4sWLLDE+Pr569eo+tner3rp1iyXevHmTzRg0un///Xee w+3bt7t16+YV21+yZAnbKny5FpuFyGZ5Cvv+giol/CJj3bp1LnSK+/CA7dMk xs8K5UjYPgBAR2D7Qtxk+z62N/ItXLjwyJEjx48f37x5c4ZG209MTCxdurSP 7ZE36Y/4xMXFMTGoX7++pppyvGj7aWlpbGuXLl3sty5btoxtJeFRPgpsHwjx vO3TgGW339C/58+fl25iti+7BCD4j53xwf7DDz+wFJoxZMHuewOn8lDll96y 52sY7DkdmuJ4yksvvcQHTq5cuSpWrPjyyy+zO/99bF9YbNmyxYV+cRMesH2a tym+QIEC/IenHQHbBwDoCGxfiJtsf/78+bIXd2RotH2mBCQMFy5ckAXPmjXL x/YxWnJysvqSc7xo+wR7oQdBbi9N//vvvwcNGsQ2SZ/+Uzjx1FdBPbB9Q+Nh 26dd+BsUV6xYIdvKbH/kyJGydP6WWv4x/hdffOFj+yVi+zf2e8v2v/vuO7b1 4sWL9ltZraW2z96xX758+aVLl967d48lPnz4kF/IkPfSfKWxW9yFu22fP8Uw duxYp8GwfQCAjsD2hbjJ9oU/rKnJ9tnjrrR6/mIHrSAs+OjRo+pLzvGu7e/c uZM9ucYWuCFDhgwdOrRDhw7SX3qlCxw1J576KqgHtm9oPGn7sbGxL774Ijsi DXz7AEe2T0OD7RUREcFSGjVqRH+++uqr9pl4y/YXLFjAtp48edJ+K3uYqG3b tuzPJ0+esFfvCn8xdsSIEfzqRn3x3Ipb50BqjRo1alBwsWLF1Pw6HmwfAKAj sH0h2db269Wr5+OMLVu2qC85x7u2TwQHB9u/e4Rsgf2WQY4cOZz+DCtsHwjx mO2fPXuWq/63334rjHFk+zt27JDZfpUqVejP5s2b22fiLdvnX0D88ccf9lvZ J/mff/45T2Gf9rdo0cI+mHJgWU2cOFF98dyKW+fAoKAgPs+ryRy2DwDQEdi+ kGxr++XLl/ex/QRVW8ccOXJEfck5Xrd9IjU1lRqhb9++HTt27NOnz7Rp0y5d usReYfHCCy+oPPHUV0E9sH1D4xnbj4qK4o/hz5gxw1GYettv0KCBTzb7bH/f vn1sq/0bNW/cuME2jR49mie2bNnSx/ZArn1Wf/31F4sfNmyY+uK5FffNgXfv 3uU/nvvw4UM1mcP2AQA6AtsX4hXbnzp1qmyTve03btyY/qxTp476sqkkO9i+ PY8fPy5VqpSP5PYABWD7QIgHbJ8Una7B6Si5c+deunSpQqR62+/evTv9WbBg Qf6WHo63bJ+Unr1AmC7GZZvWrl3LdgwJCeGJ/fv3Z21if3M+fxPXkiVL1BfP rbhvDgwICGCRy5cvV5k5bB8AoCOwfSGetP2bN2+yraNGjZJtsrd9WmR9bE/p JiQkqC+eGrKn7dMVENvxwIEDToNh+0CIu21/0aJF7H6zwoULO72PTr3t8xfg yN7Jk5iY2KxZM6/YPvHvf//bx/b636SkJJ6YmZnZqlUrdm1y9+5dnk6twXLr 3bu3LJ+uXbuyTcJHALyCm+ZAmuHZPYo1a9ZU/ysDsH0AgI7A9oV40vYJ9p7q xo0bSxOTk5PZSzmkts9ftt+5c2f7fFJTU4OCgtQXW0o2tH3ai90J3Lx5czXx sH0gxK22zz+jJqZMmWL/+DxBJs/j1dv+1atX2VPqtMsPP/xw5syZQ4cOzZo1 i98vpKPtk6LfscH9PDw8nKVI7Z2gdBbw7rvvnj59mjyfrj6GDh3KEvv27SvL mWZFtmn06NHstTx///33119/zRLJ+V3oFzehe1sx2BccxIYNG5RzfvLkyZ1/ eOedd2iXN954g6fo+HtksH0ArAZsX4iHbZ/dn+NjezMbrenk9vPmzWPP6Mls n2jSpAlLbNGiBflwSkoKSf6BAwfmzJlTtWpVSrd/yaca3LHSaQomazp69OjD hw/T0tIOHjw4cODAHDly+Ng+LTxy5Ij6E0/lWaoJ2L6hcavtk5z7OKN69eo8 Xr3tZ0g+3heio+1XrFjR0VFq1qwpjSQj/fDDD/nWAgUKSCOvXLkiyzk2Npa/ YD9Xrlx0qcJ/TPzFF1+kucuFfnETurcVy5O9beytt95ymjP/MEdIWFiYixWz A7YPgNVwx8iF7ctwavuOhIG9v87nf23/1KlT0gsBWjr5uysZbrV9TSudpuDP P//cPqx27dpOX7wpO/FUBmtCWiR35A/cissdp2Ye2Lp1q6OTnFOjRg0enzdv Xh/RbXs7d+5kwZShNH3BggXPPfccz8rPz2/27Nnsvv1ixYrpNa4rVarkqPC1 atWSBWdmZtLVivTtuL6+vq1bt759+7Yw86tXr3bo0EGaJ01Zw4cP52/gzya4 o60++eQTtmn37t1Ocw4ODlY4i3T86WHYPgBWwx0j14K2z9630LZtW+HWCRMm +NjeIenI9omFCxdK3z9JK2lAQMDKlSvZn8eOHZMGJycnjxkzht3/wyHtb968 eWBgoPpiS3HHSqcpWGr7JA+vvvrq0KFDhd+MK5946uPVIy25O/IHbsXljssm U1lKSsqePXtCQkLoql9hDhHivkFBzn/+/HlS0MOHDzt9O+5/bT+ZffDgwbCw sOPHj6t8L42HcV9bZTdg+wBYDdi+EK9U4fr16zt27AgODj5y5IjKNT0hISEy MnLTpk10OUBKkJWje32lu3Xr1vbt28PDw0lpXJMB2D4QYnTbzwpeH9cGwjpt BdsHwGrA9oWYoApaMcFKB9sHQmD7ujepKbFOW8H2AbAasH0hJqiCVkyw0sH2 gRDYvu5Nakqs01awfQCsBmxfiAmqoBUTrHSwfSAEtq97k5oS67QVbB8AqwHb F2KCKmjFBCsdbB8Ige3r3qSmxDptBdsHwGrA9oWYoApaMcFKB9sHQmD7ujep KbFOW8H2AbAasH0hJqiCVkyw0sH2gRDYvu5Nakqs01awfQCsBmxfiAmqoBUT rHSwfSAEtq97k5oS67QVbB8AqwHbF2KCKmjFBCsdbB8Ige3r3qSmxDptBdsH wGrA9oWYoApaMcFKB9sHQmD7ujepKbFOW8H2AbAasH0hJqiCVkyw0sH2gRDY vu5Nakqs01awfQCsBmxfiAmqoBUTrHSwfSAEtq97k5oS67QVbB8AqwHbF2KC KmjFBCsdbB8IyaLtA2BKPDyaAABexH22D4BX0PdkZsD2DQ1sHwB7PDyaAABe BLYPTIa+JzMDtm9ocCeP7k1qSqzTVlmpKaZBAIwI7uQRYoIqaMUEKx1sHwiB 7evepKbEOm0F2wfAasD2hZigCloxwUoH2wdCYPu6N6kpsU5bwfYBsBqwfSEm qIJWTLDSwfaBENi+7k1qSqzTVrB9AKwGbF+ICaqgFROsdLB9IAS2r3uTmhLr tBVsHwCrAdsXYoIqaMUEKx1sHwiB7evepKbEOm0F2wfAasD2hZigCloxwUoH 2wdCYPu6N6kpsU5bwfYBsBqwfSEmqIJWTLDSwfaBENi+7k1qSqzTVrB9AKwG bF+ICaqgFROsdLB9IAS2r3uTmhLrtBVsHwCrAdsXYoIqaMUEKx1sHwiB7eve pKbEOm0F2wfAasD2hZigCloxwUoH2wdCYPu6N6kpsU5bwfYBsBqwfSEmqIJW TLDSwfaBENi+7k1qSqzTVrB9AKwGbF+ICaqgFROsdLB9IAS2r3uTmhLrtBVs HwCrAdsXYoIqaMUEKx1sHwiB7evepKbEOm0F2wfAasD2hZigCloxwUoH2wdC YPu6N6kpsU5bwfYBsBqwfSEmqIJWTLDSwfaBEE/aflpaWnx8fHp6ur7Dc+PG jSNGjJgwYYLWHbUOikePHlEVXGgrTTx48ODhw4fuPopW3DoHZmZmUneoj6dT KDU11U2Fge0DYDWyie1nzyVS38KoYdy4cVTgzZs3e/7Qbl3ptCoEnQk3b97U ehTYPhDibttPSEhYuHDhe++9V7FixVy5ctGxcufOXaFChSFDhpw9e1aX4Tlg wADKtmjRolp3VDMorly5Mnv27KZNm5YrVy5nzpx0oMKFC7/55pvBwcHPnj1T 2JEMtmXLlvXr14+KinLamOfOnZs2bVq3bt2qVauWI0cOOkq9evW09YebcW0C SUxMbNeuHbXD9OnT7bdSEwUFBTVs2LBQoUJU5ZIlSzZv3nzr1q3CyJ07d/r7 +9etW7dIkSLspC1QoECzZs3Wr1+v3BFage0DYDW8aPvZf4lUjunXr18zRSZP nqz1uM8//zwVeOjQoVp3zDpq5v9Lly61VCQwMJAHu6AQ5ANdu3alBZGdlvnz 53/jjTdWr16tcqWD7QMh7rb99u3b+ziAJh8y4awPT7fa/iuvvOKo/O++++7j x48d7bhu3ToWtm3bNuVDhISE5MuXT5Z5mTJlXOgU9+HCBHL37l2ao1h1Pvro I9nW5ORkakBhw/bq1UsWfPr0aUe9QPTv3z8rVZMB2wfAarhj5JpmiVSOef31 1xUmZzb5az1uNrf9Y8eOKVeZGpwHa1WIxYsXs4s+IkeOHPz/RKtWrZ4+fary xHPhjHWKtPDuyB+4FZc7TtNUVqFChcGDB9MF7+bNm+nf+vXrs+PWqFEj68PT A7Zfp06d7777LjQ0dOXKlXTRXbBgQVb+0aNHy+LDwsKmTZtGteaDVMH2MzMz yVRZGM1v/v7+NNK3bNmycOHCvn37utAp7kPrBPLs2bOOHTtKJ3xZQOfOndkm aqutW7eeOnWK2rZixYoscdWqVdJgZvvUpO+///6MGTN+++23iIiIkSNH5s+f n8WHh4frUEkbsH0ArIY7Rq5plkjlGGb7hQsX7ukAqo7W4xrF9ps2bfqliLVr 1/JgTQoRHR3NzKF69erLly9PTExMT09ft25d8+bNWfy4ceNUnniunbTKwPYN jbttf/z48WSwt2/fliampqbWq1ePHfrSpUtZHJ5utf3hw4fT9EtaLk2MjY1l o7VKlSqyeJq0ZdfvCra/YcMGFtOwYcO4uDgXesFjaJ1Ahg0b5mP7Slpo+9Sk LP2TTz6RpqekpBQvXpzSS5UqJb2/MSEhoV+/fn/99ZfsKL/++ivLhy6UtNdJ DGwfAKvhRdvP/kukcgyz/VdffdXFwokwiu1Lrd4RmhSCFjKW8/nz56XpDx48 qFy5MqXTtYPKE89pmAvA9g2Nu23fEV9//TU79IEDB3giXcwGBQUdOnSI/ck+ 712xYkVMTAyPof/PnDmze/furVu37tu3b0hICP3rPtt3RKdOnVj56dJbmj5r 1qxvbfTo0UPZ9mn4v/baa8xsaap3rRgeQ1Nb/fjjj6zutIqxyx+Z7dMEyAIu X74s25d2YZuWLl3q9ECPHj1iwR06dFBZNqfA9gGwGl60/ey/RCrHqLT95OTk LVu2TJ48eeDAgVS29u3b9+zZMyAgQPhsgiPb3759O10c0Y6dO3ceMmTIvHnz Lly4YL97fHz8okWL6BqnVatWn3766ZQpU6Tto4zutu8IoUK89957PrZvse/f vy+Lb9euHW3Kly+f05xh+0CIt2y/RYsWdNw8efLcunWLJ9KflDhy5Mjffvut atWq/Lz6/vvvWcCyZcvYPGCPh22/a9euPrbb6uxHJWPv3r3Ktr9x40YWILtr JXuivq0iIiLYd5EjRoz47z9fdshsn/W+n5+f/e5XrlxhzfLZZ585Pdbhw4dZ sJrvN1UC2wfAamRD288+S6RyjErbJ9UXlooWi0GDBsmC7W3/8uXLjRs3tt+d lmC6LJLuGxYWVqJECVkYZbhgwQL1VVbuWV1sX6gQY8eOZTkHBwfL4qtVq0bp bdq0cZozbB8IcbnjXJvK7ty5s3///n79+rHj0rkt3cqmMpJA2VBlU9lPP/3E /syZM2f9+vU/+eQTutqlGSyLU5kLdX/69CmT2LJlyzqKcWr77PMWmuv+/vtv msq2b9++ePFiqiPtqOZJHA+jsq1OnjzJvqDs3Lkz++5SaPvs+VyagWXfb/7X dsO/r68vbX3vvfcUDpSSkhIeHs6+3CxZsiT9qb1OYmD7AFgNd4xc0yyRyjGa bJ/K36BBgx49enz55Zckrvz1FDIVt7d9du1D1KpVq3fv3rR6Uj558+allG7d uvGwFStWsDBaFOgiYsaMGYMHD+YtEBkZqbLKyj3LbT8oKOjKlSvXrl178uSJ pnPDkUJERUWxnEkMJk6cyN/Fze99VfOVN2wfCPGY7V+8eLFp06b89YnPPfcc zWOyFwuzqczH9sqp4cOHb9y4MSYmZs+ePeSQN2/eLFOmDJuyfv/9d77L7du3 abB72Pb5lEKFdBTj1PbZd3Z0ac/+I6VKlSrr1q1zoWDuQ01bXb9+vVy5clR+ Wmj45xVC2x8yZAirKfWvfT48E+FRaAJ/7bXX2HtKiZYtW545c8alOomB7QNg NbKD7WfbJVI5htk+eXtjEVRCntWaNWsSExOl+54+fZp9Dt+kSRNpusz2z507 x2pN6i4Ni4uLGzhwIF04sD8p89KlS/vYnoMjCZeGsZahNUVllZV71v6dPLQe lSpViq4vqBPVnBsKCrFw4UL2eRe7Zhk5cmRgYCDrd7oGVHgNoOzEU1MMrcD2 DY3HbF82QN5///0///xTFsNO6TfffNP+LrsffviB7UhjQbbJrU/p2nP+/Hn2 8TX9e/XqVUdhTm3/pZde4q1BF/IVK1Z8+eWX2ZvnfWwfzmzZskVr2dyH07a6 e/du3bp1qeRUEekPgghtf/Xq1ayaderUkf3aSHR0NHtQl1YK4YH4AxFE+fLl 6XxQMwGqB7YPgNXIDrafbZdI5RjlN3DaF0ZG7969KaxYsWLSRJntR0REsNyU X91PW31sXx/Y38w/a9Ys5uTJycnK5XHN9jl58+Y9ePCg8u5OFWL27Nn2OZPq azrxVAZrQloed+QP3IrLHad1Krt8+fJ//vMfuhLv0KED+/6OhHbu3LnSGH5T ov3uX3zxhY/tNV+pqamyTZ60/evXr/O7JZXv2XNq+6wRyFeXLl167949lvjw 4UM+aRcoUICmJk3Fcx/KbfXs2TP2HjnqINnH9ULbf/LkScuWLVk1aZdPP/2U Op2m/VdffZVPJh9++KHwWBs2bBgzZsxXX31FF0cskv5z584dXar5X9g+ANbD HSPXNEukcgyzfT8/v89E7Ny5Uxp86dIl9n7p1q1b161bt1KlSuwtyrlz55aG yWw/KSmJhRUvXnzKlCnx8fHCkrAPgmhJ/cUOfj/80aNH1VRZuWepPNOmTduy ZQvlRsGHDx8ODg5u0KABOwRduZAnONrXqUIEBQWxXh4xYgR1HOXGgulkGDVq 1KNHj1SeeE7DXAC2b2g8ZvtSaLTWqFGDjuvr63v8+HGerjCVNWrUyMfBzYEe s/2bN2/yD+SnTp2qHKxs+6S77FHWnj172m+lYc72/f3339UXz60ot9XBgwdZ gcPDw9P+F/YV6gcffMD+5L8GSH7O+lQGu42HoJnNaakWLVrEgtU80qtLTZXB NAiAEckOti8lWy2RyjEq79unCZ+Kze/AlKFs+8THH38sjSdh7ty584YNG6R7 8XeWKkCKrqbKrvU4rebsKKtXrxYGOFUI9h2Ej+11dizl4cOHdClBlzAsXflx NumJ51oVlJG2pDvyB27F5Y7LylRG0FUtO/T8+fN5osJUVqVKFdrUvHlz+02e sf3Lly+z6ZcICAhwGu/0s332hGmLFi3sN/3xxx9s34kTJ6osnrtRbqsDBw44 nWYZsm85d+/e/fXXX3fv3r1Lly7U7+vWraOljUUGBQWpKRi7fUjHnx6G7QNg Ndwxck2zRCrHqLT9Dz74gFUnX758pO6TJk0KDQ2NjIxkd/I4tX26WJg7dy5/ qIHz1ltv8feRMiX28/Nr65gjR46oqbJrPX7hwgVWKiq5/VanCvHkyRNWQXID 2abbt2/Xrl1buIY6OvFcq4IysH1D4y3b53e++fv780SFqYx9Teatz/bPnj3L PnPOkSMHzb1qdnFq++xWFvvf5yL++usvtu+wYcPUHMsD6GX7FKl8IGpeFnn0 6FE1BeO38et1Mw9sHwCrkQ1tP/sskcoxamz/2rVrOXPmpLB69epdvHhRumnM mDFqbJ9x69atrVu3TpgwoUOHDvwZt5o1a7Kt7BWdderUUVs9EVmZ/x88eMCK ZP/b8WoUglqG7d6/f3/7rdOnT2dbnX4OBtsHQrxl+/xXUGnk8kSFqax79+4+ tqdapC8fZrjb9vfs2cOuuH19fR19Q2ePU9unEc1mOfub83fv3s32XbJkicrD uRvltnr69OlNB7CXJHTq1In9qfxy0bS0tBdeeIHi//Wvf6ksWMOGDX1sL/Pk 9whlEdg+AFYjG9p+9lkilWPU2H5oaCiry/Lly2WbNNm+lMTERH7rTlxcHKX0 6dPHx/aUbkJCgnKZFcjK/H/y5ElWnvHjx0vTVSoE/5SP+st+K/+uZ968eWpO PNeqoAxs39C41fbj4+NXrFgh+01wIj09vXnz5uzQmzdv5ukKU9nEiRNZvOwZ fxryzZo1c5/tBwcH81cc79q1S337OLV9/msjvXv3lm1iv7tB0Oyh/ohuxeUJ RPiUrpB79+516dKFVXz//v3STb/99ltsbKz9LhTGPjJq1KiRC2UTAtsHwGp4 y/YNsUQqx6ix/SVLlrCyzZw5U5qenJzMXu+gbPuHDh0KDw+3z5ZdKRDnz5/P kLxsv3PnzvbBqampQUFBynXJUGcFGzZsePDggX06v1tJ+j499QqRmZlZuHBh H9uDxtIf2GUMGjSIZR4dHa3mxFOOcQ3YvqFxq+3/+eef7NSdNGnSjh07rly5 kpSURP9hk8//1955x1dRpXH/IqCIBUVBRRQQd6UIsnZR1GVBdlXUVWQtiOtS pAqiIAgoRaqgdAJKhw0hNBNBJPQihNBCfzFAAINAAoFQpIb3ee/zenacmTvl 3pmbe2Z+3z/4kDNn5p7nnHnmfOfeKXyIUD5AwOBQdvDgQX5oFdX5+uuvt27d SkeAQYMG8U2gLtl+amqq2Le/+uqrH/RYvXq1cpXTp0+fCCJkng5TXEKLVNt/ /vnnuU6XLl34sTynTp0SL0wn5w9jXFzCcduneKdOnUr7w6VLl3bv3h0fHy+e VNCwYUNV5X/+85+FCxem8jlz5lBlWuWXX36h0ReXcc6aNSvMwDTA9gHwGwVl +1JMkcZ1rNi+eOl5+fLlx48fv3fvXlJWOivhew1MbX/cuHGB4FP0Z86cyQ/k OXz4ME2+tDUqpymGpleu+cwzz/AG69Sps2zZspycHOq9lStX0vTN84vq/QWh QjYeWern0qVL9+zZc/ny5bT98+fPb9y48YUXXuCPfvzxx8UPzXYVQrxVrW7d uuLBPrS1b775hr/XqlGjhsUdL9zd1gjYvtREwfZDQae6lPLK+gaHsjzFdxe6 uGH7S5cuNfhEpnLlyspVypUrZ7EmkZGRIS4+JJulwzJnNPGnP/2JDiNhjItL OG77NK9pu4jC79Wrl/YFu2T7ymqqBztYfxCxFWD7APgNNzLXM1OkcR2Ld+m+ /PLLBm2zYvuCUqVKiYmS/hMfHy9WTE9PF2cQvJS2rFzXKdtXblM5H916663b t28XNe0qxNmzZ6tXr87lxYsXr1Wr1osvvsgnNcRtt92WmZlpcccLe781QNls N7YPXCXsgbNyHKCT027dulWrVk21e1N2vPvuu9qn5vKLsDt37hxqg8OHD7/m mmvEduhgOHjwYL4oUfV6DiuYJgWduZumatWqVZWriMTUUqVKFe1HHDx48KWX XlJWo6NThw4dxBP4Y4SwDyDcIY0aNVKVq2y/dOnSf//73xcuXKi7kcWLFzdo 0IAfuaykYsWKc+fODaNVBsD2AfAbbmSuZ6ZI4zoPPfQQbZyc37gazXRvvPGG 6phPpyddunQJBH+PUFbmL8FoHuQ/d+/e/eGHH4ofKQQkwwsWLFB9UHZ2dteu XenURlmTtL927dqjRo2yGLLxyPbr169GjRqqxtDETUOWk5OjrBmGQpw+ffqz zz5TTXa0cRpE1caNdzy7u6sVlE1yY/vAVcIeOCvHAWWmr169evr06VOnTl2z Zo32NiLr0A5P58uTJk1av369+P0uPNxLCrvk5uauWrUqISFh48aN586dK+jm 6OB4X12+fJlGkFx9/vz5Bu8iUXLx4sXMzEw6fsbHx9M+YHEtu8D2AfAbbmSu Z6bISLagYtu2bRTjtGnTli1bRrOe3dXp9IdWpImSAgz1ji0BTRYpKSk0xWzY sIH6xOJHWD/+02kFbTkpKWnmzJkUl5X3XlnnzJkzmzdvpi3T/rBu3TrtZfwG wPaBLtGx/dgkdmw/9vFPX8H2AfAbBW77sYkHQrCLB2Y62D7QBbbveJd6Ev/0 FWwfAL8B29fFAyHYxQMzHWwf6ALbd7xLPYl/+gq2D4DfgO3r4oEQ7OKBmQ62 D3SB7TvepZ7EP30F2wfAb8D2dfFACHbxwEwH2we6wPYd71JP4p++gu0D4Ddg +7p4IAS7eGCmg+0DXWD7jnepJ/FPX8H2AfAbsH1dPBCCXTww08H2gS6wfce7 1JP4p69g+wD4Ddi+Lh4IwS4emOlg+0AX2L7jXepJ/NNXsH0A/AZsXxcPhGAX D8x0sH2gC2zf8S71JP7pK9g+AH4Dtq+LB0KwiwdmOtg+0AW273iXehL/9BVs HwC/AdvXxQMh2MUDMx1sH+gC23e8Sz2Jf/oKtg+A34Dt6+KBEOzigZkOtg90 ge073qWexD99BdsHwG/A9nXxQAh28cBMB9sHukRo+wB4kihnEwCgAIHt61Kw B2EQCc7uzAxsX2pg+wBoiXI2AQAKENi+LgV7EAaR4OzOzMD2pQYDB4BTIJsA kBHYvi4eCMEu7qly1IDtA10wcAA4BbIJABmB7evigRDsAts3ALYvNRg4AJwC 2QSAjMD2dfFACHaB7RsA25caDBwAToFsAkBGYPu6eCAEu8D2DYDtSw0GDgCn QDYBICOwfV08EIJdYPsGwPalBgMHgFMgmwCQEdi+Lh4IwS6wfQNg+1KDgQPA KZBNAMgIbF8XD4RgF9i+AbB9qcHAAeAUyCYAZAS2r4sHQrALbN8A2L7UYOAA cApkEwAyAtvXxQMh2AW2bwBsX2owcAA4BbIJABmB7evigRDsAts3ALYvNRg4 AJwC2QSAjMD2dfFACHaB7RsA25caDBwAToFsAkBGYPu6eCAEu8D2DYDtSw0G DgCnQDYBICOwfV08EIJdYPsGwPalBgMHgFMgmwCQEdi+Lh4IwS6wfQNg+1KD gQPAKZBNAMgIbF8XD4RgF9i+AbB9qcHAAeAUyCYAZAS2r4sHQrCLq7Z/+fLl rKys3377zaXtM7B9oAsGDgCnQDYBICOwfV0MQsjIyPirZV555ZUotzxs7Kpy fn5+3bp1H3300XXr1oWqc+HChZEjR1atWvXqq6+m3axQoUJlypRp0qRJZmam 8cYTEhJoy82aNbPeniuwfRACDBwAToFsAkBGYPu6GISwefPmgGVuvvnmKLc8 bOyq8owZMzjGBQsW6FagbdaoUUN0RZEiRcT/Sf4XLVoUasunTp0i1adqjz/+ eBg7nq1VLALblxoMHABOgWwCQEZg+7oYhLBv3753NBQtWpS68Y477lCVt2rV KsotDxuLqpyQkNC/f//69esXLlzY2PYbNGjAFVq3br1ixYqLFy+mp6f37t27 ePHiVFiyZMns7Gxl/YyMjJEjR7Zv375ChQq8ImwfOAIGDgCnQDYBICOwfV3s hlC6dGnqxueff969JrmNRVW+++67Vb9f6Nr+mTNn+Mv8hg0bqhbFxcXxirNn z1aWjx8/XrVl2D5wBAwcAE6BbAJARmD7ujhr+2lpaaS4Y8eO5T8PHz5Mhkx/ zpw5k/48fvz4mDFjqMKmTZtUK+7cuTMuyKFDh1SL9u3bN3r06NatW9erV69x 48Z9+/bdtm2b9QZrsajKgwYN+jTIm2++aWD7FDIvpZqqRRs2bOBFAwYMUJZT +J/+TtmyZWH7wCkwcAA4BbIJABmB7evirO336NGD+/ngwYPNmze/6qqr+M+i RYvS0gMHDvCfgwcPVq04depUXrR+/XpleUJCQqlSpVTfhF9//fXDhw+3Gej/ sKvKy5YtM7D906dPFytWjJZWrlz57NmzykUiKIPbe5999lnYPnAKDBwAToFs AkBGYPu6uGT7ZcqUUXpjeLY/YcIELqQPbdu27cCBAz/44IOSJUtyYUpKiv1w /x/O2j5BvcEVqlWrtmXLFi4k83/qqaeosGzZsvn5+aE2DtsHDoKBA8ApkE0A yAhsXxeXbJ+oWbPmiBEjUlNTN27cmJSUlGfT9g8dOnTHHXdQyZNPPkkripp7 9+7lU4lHH33UVqQCx23/4MGD/Ggdpm7dupMmTapduzb9v1y5cunp6QYbh+0D B8HAAeAUyCYAZAS2r4tLtj9s2LCTJ0+qltqy/T59+gSCT7DctWuXqvKgQYMC wWfaZ2dnW2+5wHHbvxJ8CCefmygpXrz4/v37jTcO2wcOgoEDwCmQTQDICGxf F5ds/8SJE9qltmyf74296667Zmno1q0bV05LS7PecoHjtp+VlfXEE09Qhfvu u2/IkCG1atUSwly5cmWKyGDjsH3gIBg4AJwC2QSAjMD2dYlZ23/44YcDZiQn J1tvucBZ26cN8pVF1atXP3r0qNgxGjVqVKhQoUDwZVvLly8PtXHYPnAQDBwA ToFsAkBGYPu6xKzt33XXXfTnTTfd9EJoUlNTrbdc4KztUyy8dNKkSapFY8eO 5UV16tQJtXHYPnAQDBwAToFsAkBGYPu6FIjt9+vXT7VIa/t8PUy1atWst80i ztr+W2+9xUuPHDmiWnTx4sUbb7yRFt1+++2hNg7bBw6CgQPAKZBNAMgIbF+X aNr+4cOHeWnnzp1Vi7S237Rp00DwLt3MzEzrzbOCs7b/9ttv89Ls7Gzt0kqV KgWCT+YJtXHYPnAQDBwAToFsAkBGYPu6RNP2CX5afq1atZSF5MlNmjRR2b54 2P5rr72m3c6xY8fi4uKsN1uJs7b/1Vdf8VL6j2rRoUOHrrnmGlr06quvhto4 bB84CAYOAKdANgEgI7B9XaJs++J5Nd26ddu6dSu5/dChQ++55x5hmMq3az3z zDNcWKdOHVLunJwckvyVK1eSV1esWJHKtQ/5tIJFVT59+vSJIMnJydyMxMRE LqFFolpGRsb1119PS4sVKzZlyhRRnpmZ+eSTTwaCTwqdN2+ecssXL1488Ts1 a9akOg899JAouXTpksUdz86uahXYvtRg4ABwCmQTADIC29clyrZP3hvQo3Dh wlrbT09PV54IXHXVVUWKFFGu5artlytXTrepgeBzNZU1xWVIxL333lu/fn3y fP5Wn+jevbtqy+JnC10SEhIs7ni29lWLwPalBgMHgFMgmwCQEdi+LnZDuP32 26kbX3jhBd2lvXr1CgS/zQ5l+8SIESP4y3Dmhhtu6Nmz5+TJk/nPDRs2KCtn Z2d37dqVr/9Ran/t2rVHjRplvdlKLKpy+fLlQwl5lSpVVJVXrVr12GOPqapV qlTp+++/12554sSJBrY/Y8YMizuexb3UFrB9qcHAAeAUyCYAZAS2r0uBhJCV lbVw4UKS3tTUVIPzAiWZmZkpKSlz586l04GcnJxIPt09VT548OCSJUsmTJgw f/78PXv2XL582Y1PuQLbByHAwAHgFMgmAGQEtq+LB0Kwi3uqHDVg+0AXDBwA ToFsAkBGYPu6eCAEu8D2DYDtSw0GDgCnQDYBICOwfV08EIJdYPsGwPalBgMH gFMgmwCQEdi+Lh4IwS6wfQNg+1KDgQPAKZBNAMgIbF8XD4RgF9i+AbB9qcHA AeAUyCYAZAS2r4sHQrALbN8A2L7UYOAAcApkEwAyAtvXxQMh2AW2bwBsX2ow cAA4BbIJABmB7evigRDsAts3ALYvNRg4AJwC2QSAjMD2dfFACHaB7RsA25ca DBwAToFsAkBGYPu6eCAEu8D2DYDtSw0GDgCnQDYBICOwfV08EIJdYPsGwPal BgMHgFMgmwCQEdi+Lh4IwS6wfQNg+1KDgQPAKZBNAMiIe7YPQIHg7M7MwPal BgMHgFMgmwCQEdg+8BjO7swMbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJ ABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2ow cAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYC YApsX2owcAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWy CQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9q MHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHm AmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxfajBwADgF sgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxf ajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB 5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4 BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYAps X2owcAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZ QeYCYApsX2owcAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAA OAWyCQAZQeYCYEoAAAAAAAAAAAAAAAAAAADSUtC/MwDbYOAAcApkEwAygswF wBTYvtRg4ABwCmQTADKCzAXAFNi+1GDgAHAKZBMAMoLMBcAU2L7UYOAAcApk EwAygswFwBTYvtRg4ABwCmQTADKCzAXAFNi+1BgP3P8BACiIJJuMKejIAJCe 8FIvwswFwCfA9qUGtg+AdSLJJmMKOjIApCe81IswcwHwCbB9qbFi+3k+w59R h4d/+sqKTkRu+wUdZbTxQNQIIRaA7QPgNrB9qYHta/Fn1OHhn76C7buBB6JG CLEAbB8At4HtSw1sX4s/ow4P//QVbN8NPBA1QogFYPsAuA1sX2pg+1r8GXV4 +KevYPtu4IGoEUIsANsHwG1g+1ID29fiz6jDwz99Bdt3Aw9EjRBiAdg+AG4D 25ca2L4Wf0YdHv7pK9i+G3ggaoQQC8D2AXAb2L7UwPa1+DPq8PBPX8H23cAD USOEWAC2D4DbwPalBravxZ9Rh4d/+gq27wYeiBohxAKwfQDcBrYvNbB9Lf6M Ojz801ewfTfwQNQIIRaA7QPgNrB9qYHta/Fn1OHhn76C7buBB6JGCLEAbB8A t4HtSw1sX4s/ow4P//QVbN8NPBA1QogFYPsAuA1sX2pg+1r8GXV4+KevYPtu 4IGoEUIsANsHwG1g+1ID29fiz6jDwz99Bdt3Aw9EjRBiAdg+AG4D25ca2L4W f0YdHv7pK9i+G3ggaoQQC8D2AXAb2L7UwPa1+DPq8PBPX8H23cADUSOEWAC2 D4DbwPalBravxZ9Rh4d/+gq27wYeiBohxAKwfQDcBrYvNbB9Lf6MOjz801ew fTfwQNQIIRaA7QPgNrB9qYHta/Fn1OHhn76C7buBB6JGCLEAbB8At4HtSw1s X4v1qNesWTNp0qRBQUaNGrVlyxaXmxYR33zzzZgxY5YtW+bgNmNwD6FBoTDH jh2bnZ3t4GZh+27ggahthXD8+PG9e/fu3LnzyJEjrrZq8eLFlAXjxo2zUtlW CCdOnMjMzNyxY8eBAwdyc3MjaKMaW21WAdsHwG1g+1ID29diMeq4uLjmf2TB ggVRaF540BzNjRw/fryDm43BPWTGjBkc6S+//OLgZmH7bmA36mPHjnXq1KlD hw6pqalhfyjtGBs3bty0aRMlRdgbEVgJIT09fcKECdTy999/Xxwu2rdvP336 dJe0n07t6SPo46xUthICVYiPj+/atWuLFi1ECLT9oUOHOvUth602a5sH2wfA VWD7UgPb12Il6lWrVokp7/PPPx81alSPHj2WL18enRaGAWw/QmD7bmA36pkz Z/LgrlixIuwPnTVrFm9k//79YW9EYCUE8vzmIfjkk08OHz4ceTNUOG77AwcO DBUC+f+6deui3GYVsH0A3Aa2LzWwfS1Woh4yZAhNTC1btpSlf2D7EQLbdwOL Uc+ZM4f22+7duwvDlNH2u3btmpCQsGzZspSUlGHDhrVp04abMWrUqMibocIl 2//444+nTp26aNGi9evXUxQ9e/bkENq1a3fy5MlotlkFbB8At4HtSw1sX4uV qFk8vvzyy+g0KXJg+xEC23cDi1G3bdtW9X2yXLZPSbdy5UrVhUO0VsuWLakZ FF3kqqzCcduntFq4cOHx48eVhceOHROnYJHvvbB9AGIZ2L7UwPa1GEdNi8gW eJru1q3brN9Zv369sk5iYuLQoUNpKhw4cOCkSZPS09NV29m8eTOtNWfOnNzc 3K1bt/73v//t169fr169pk6dumnTJq6TlZX13XffjRgxgrYzaNAgmnBzcnK0 25k9e/aYMWOoAq0+YMCA0aNH01qqywOMbd9Kg8PoK/5cipEi3bBhA7nBDz/8 MGrUKPqUYcOGzZs3T1y0vHbt2smTJ/fp06dnz54Uy8aNG8MLM8/Q9sMOMw+2 7w7Wv9ufHoTGztT29+zZQzWHDx/eu3dv2lvGjRu3YMGCQ4cO8dKkpKT+/fvz RmiXE/m7Zs0aV0PQhXZjbklmZiaXKPOF1DolJWXs2LGff/45HRwmTpwoqqmg 3ZiOG3379v3ss8+++uor2gL966zth4KOJxyCyFllCPTn0aNH6dhIqTp37tzt 27c71WbdEMJLvQgzFwCfANuXGti+FuOof/zxR92LVydMmJAXnOlIJ/hcQAVN bcrtxMfHczlZq/LePZ7vyH6XL1/evn171UZIU1WPmqG5Urc9rVu3TktLE9VC 2b71BofRV3nBb/94a9TOLl26qD6CvIsEhsxfVU49QJ4TRph5IWw/wjDzYPvu YDfqn376iUctlO2T56uyiWnRogV/kO4+QNA5dXRCUCJsn87ruUTkCxl+165d VY1s27bt1q1blVvIzc1NSEjQDbm5+7ZPn07t5A/69ddfVSHQ2TSdZyl/l/nv f//rVJt1Qwgv9SLMXAB8AmxfamD7WoyjTk1N7devn5h8+/3OvHnz8oJfQvIi EvUpU6YkJyfTvx988AEXKm/jFbbPtGvXjqb+zp07a+e+Hj16fPHFF8JSyFqV 7WEN7tix45AhQ+iM45tvvhFSTdsUFhHK9q03OIy+ylNM/QLSgz59+rRq1UpV Tg2gHqBA+M8PP/xQ+UOGxTDzQth+hGHmwfbdwVnbX7ZsGS9t06bNoEGD6Dxu +PDhn3zyCRfyF8tU/vHHH3MJZZbI31mzZkUnBMGRI0fYhKm1olCbL+T8dFIs 9lXKHeVGxI5N9O7de8yYMZQgorJ7tk9uv3LlSv42npg2bZpBCAK2fUfarBtC eKkXYeYC4BNg+1ID29diJWpyUZqYhg4dqiw8cOBA69atqbxXr17imy4u52/p SVZFobD9jz76iOZNvnCXnJz8REyF3377rdjOpk2bdKf71atX79y5U9U88fM6 LeUSXdu31eDw+ko59Y8ePVoYOKmXeJRfp06d1q5dyz2Qm5tLPsblyoujLIaZ p2f7kYeZB9t3B2dt/+uvv24evHd+3759opD2q1WrVtE55u7du7kk+tft6yJ2 VEpzUajMlxEjRohLdw4ePChOW+j/opBv9SVVVj6S9Pjx4/wYATdsPyMjQ/kj HWUxHcqUtyQoQ6CTejoRoLbRiGzdunXPnj1OtVk3hPBSL8LMBcAnwPalBrav JWzbp3mN5zia1FT1Z8+erVJQYfvknMqaGzZs4HLtFSb8o/nHH39sJQTeyMyZ M7lE1/ZtNTjUB1m0faXSMH379uVFqmuTSN25XHUxj5Uw8/RsP/Iw82D77uCs 7XOCkH8qz+m0xILt05ksX8pCPqzcLQ3yRezY4maTxMRELklOTlZVdvwuXcG2 bduaK6A+p5MpZQXlxUjajHOqzbohhJd6EWYuAD4Bti81sH0tYds+/65NsvGj htGjR/Mct3nzZq4sbF91n+m+ffu4PCEhQfWhfH076YGq/MiRI2vWrOFb3rp0 6SJ+E2/++0/neSFs31aDw+sr5UW8qkVjxozhRao3cu7atYvL586dazfMPD3b jzzMPNi+Ozhr++K0jjxz0aJFyuu7lBS47e/YsUPsvQsXLlQuMsgXcZ0SdQKX jBgxonnwtwztzfvu2T71Khn7lClT6OgnLi+cPHmylRAcbLNuCOGlXoSZC4BP gO1LDWxfS9i2r70LVYv4HiyU7dNkyuXTp09XfSi/vZcmSmXhunXr2rVrF+rj jG3fVoPD6yuDqX/ChAm8SGX7e/fu5XKl7VsMM0/P9iMPMw+27w7O2v727dtV 93527NiRTujo/FFZrWBtnxoj9mQ6CKiWGuTL2rVreZGwfX76Je3e2k9xz/aV UIqJW43ELw7Gtu9Um1XA9gFwG9i+1MD2tYRt+/x9XYsWLYaGZseOHVw5lO0f OnSIy7W2z1+GK21/zZo1Qm8+//xzkl5+8Y24yN/Y9m01OLy+Mpj6J06cyItU ti9+3RC2bz3MPD3bjzzMPNi+Ozhr+0RaWlqvXr20Z3MjR44Uz4ovQNvfsmWL UH3dh0EZ5EtqaqrK9vmuE4pXu53o2D6xdOlSbtWcOXNMQ3CwzSpg+wC4DWxf amD7WsK2fX6zpJVbPvMcsn1xMcy8efOUL+g5evSoFdu31WBdomP71sPM07P9 yMPMg+27g+O2z+zdu3fJkiW0yykf3Pr999/zUmH7oR5fbwvrIZCu893ixOzZ s3Xr2LJ9vk/hk08+0W4narZP5y/cKkpS0xAcbLMK2D4AbgPblxrYvpawbV9c BJ6RkWH6KY7YPj9LsEOHDqrXdFq0fVsN1iU6tm89zDw92488zDzYvju4ZPtK UlJSeJVRo0ZxiXgCpPYe0jCwGMLChQv5IVRksz/++GOoarZsnx9iQ5vV3qEQ NdsXdxOI45Wx7TvVZhWwfQDcBrYvNbB9LWHbPk3oPM198cUXqlfM5wWfUJ2Y mCjKHbF9/lm8VatWqo0sXrzYiu3barAu0bF962Hm6dl+5GHmwfbdwVnbp91A dYl+XvDmbl5l7NixXLJo0SIuWblyZdgtF5iGQKlHDeNPbNOmjfFLe23ZvtjV VXf0Z2Zm8uXxTtk+bXD27NnaJx1Ra7t168ZtEHe+GNu+U23WDSG81IswcwHw CbB9qYHtawnb9mla7927N89ln3766fLly/fu3UvuSvPgtGnT+E06wlcdsf2B Awdy5a+//po+btu2bWS24gWdprZvq8Hh9ZUjtm89zDw92488zDzYvjtYjHrP nj27giQlJfE4zpkzh0toKEW1Dh06kCvGxcWtXbv2wIED5PkbNmwQL7CYP38+ VxO3e3Tu3Jkq0MbXBHEpBHF3LWef9sFQhDh5sWX7tIeLt9RNmTKFYqFF9B9R 6JTtc4/RZidMmLBs2bKdO3fu3r2bzrXF/e9du3YVz9gxtn2n2qwbQnipF2Hm AuATYPtSA9vXErbtEzQJdurUqXlonLX9zZs3h3oBvUqDQ71L13qDw+srR2zf eph5Id6lG2GYebB9d7AYNZ+R6fLRRx+JamT7oar16dNH/HxDudCjRw9VhREj RrgUgvg9wgARhS3bz1Ps7bo4a/uhaNOmjfImd2Pbd6rNuiGEl3oRZi4APgG2 LzWwfS1WouYryXUNIScnh0xe9bhImsIGDBiwcOFCceU5T3lUfuTIEeXqpJ28 ivKNUcy3335L5WQ+ysIVK1bwqYeAPohmZ9Zj8XP5yZMn+bJh7RRsscHh9RUp FrdE+wSSKVOmNA9ewauy/QMHDnAbkpKS7IaZp7gHU3XhQSRh5sH23cFi1Hwp ly50EieqLV++fODAgaoTQ8oXGndVlu3Zs0e83I0RN5k6HoKwdAPEXasG+bJ+ /XqurHwFLZGcnCyee8/xUuLwsUL7bo7wQqCDUmJiIl9poyIuLk71ZjqDEBxs s24I4aVehJkLgE+A7UsNbF+LU1EfOnQoPT09LS0tIyPj2LFjkW8wFNnZ2Vu2 bCHVIR9QvZnXFmE0OJp7SAGGmQfbdwc3oibbJJlPC0L/MbgjIysri/aorVu3 RrI7xcLAUYwUBZ0RU0tMz1u1WA+BtH/nzp0//fTTypUrd+3apX1DlnUibLMK 2D4AbgPblxrYvhZ/Rh0e/ukr2L4beCBqhBALwPYBcBvYvtTA9rX4M+rw8E9f wfbdwANRI4RYALYPgNvA9qUGtq/Fn1GHh3/6CrbvBh6IGiHEArB9ANwGti81 sH0t/ow6PPzTV7B9N/BA1AghFoDtA+A2sH2pge1r8WfU4eGfvoLtu4EHokYI sQBsHwC3ge1LDWxfiz+jDg//9BVs3w08EDVCiAVg+wC4DWxfamD7WvwZdXj4 p69g+27ggagRQiwA2wfAbWD7UgPb1+LPqMPDP30F23cDD0SNEGIB2D4AbgPb lxrYvhZ/Rh0e/ukr2L4beCBqhBALwPYBcBvYvtTA9rX4M+rw8E9fwfbdwANR I4RYALYPgNvA9qUGtq/Fn1GHh3/6CrbvBh6IGiHEArB9ANwGti81VmwfAMBE kk3GFHRkAEhPeKkXYeYC4BNg+1ID2wfAOpFkkzEFHRkA0hNe6kWYuQD4BNi+ 1OBKHi0RThy+wj99ZSVSXMljFw/sPwghFoDtA+A2sH2pge1r8cDcFzX801ew fTfwwP6DEGIB2D4AbgPblxrYvhYPzH1Rwz99Bdt3Aw/sPwghFoDtA+A2sH2p ge1r8cDcFzX801ewfTfwwP6DEGIB2D4AbgPblxrYvhYPzH1Rwz99Bdt3Aw/s PwghFoDtA+A2sH2pge1r8cDcFzX801ewfTfwwP6DEGIB2D4AbgPblxrYvhYP zH1Rwz99Bdt3Aw/sPwghFoDtA+A2sH2pge1r8cDcFzX801ewfTfwwP6DEGIB 2D4AbgPblxrYvhYPzH1Rwz99Bdt3Aw/sPwghFoDtA+A2sH2pge1r8cDcFzX8 01ewfTfwwP6DEGIB2D4AbgPblxrYvhYPzH1Rwz99Bdt3Aw/sPwghFoDtA+A2 sH2pge1r8cDcFzX801ewfTfwwP6DEGIB2D4AbgPblxrYvhYPzH1Rwz99Bdt3 Aw/sPwghFoDtA+A2sH2pge1r8cDcFzX801ewfTfwwP6DEGIB2D4AbgPblxrY vhYPzH1Rwz99Bdt3Aw/sPwghFoDtA+A2sH2piVnb/+yzzzp27JiUlBT9j3Z1 7jt//nxubq5LG48+YfdVfn7+mTNnjOtcvnw5Kyvrt99+s7jN48ePX7hwIYzG WMHDto9cY06ePHns2DG7nxJTqkwhHD582O5asTYK0Q8BAgOAKbB9qXHE9lu0 aPFXQ/r06WNXA66//npqWPv27cOSiIiwO3GQuNatW/fRRx9dt26dboUDBw4M Hjz42WefLVu27FVXXUVxlShR4pFHHpk4cSIJrapy8+bN65qxcOFC681zFVt9 denSpWnTprVr165WrVo33HAD9UOxYsUSExNV1cjYR44cWbVq1auvvprqFCpU qEyZMk2aNMnMzNTWnDlzZuPGje+//37eYQoXLlyhQoV333137969DoSnIEZs H7nmYK7R1hYtWtSqVasHH3zw5ptv5uG77rrrqBtpv9LWNxg4B0PYs2ePcfqP GjVKtcqOHTtef/310qVLcwjFixd/6KGHpk6d6mAItlplaxSiFoIBEBgATIHt S40jtv+Xv/wlYMhbb71lVwMkMpAZM2ZwmAsWLNCtUL169VA98/TTT6u+jq5S pYpxZxLjxo2z3jxXsd5XR44cIYnSxjJ27FhlNer/GjVqiKVFihQR/yf5JzdT Vp49e3aoLqLKycnJUY6UPzqS7ZvunMg1DtORXNuyZYtBT7Zs2dL6wDkYwoYN G4yHuHXr1sr6Y8aMoZNcXkSnxuL/RL169egU25EQbLXK1ihELQQD+LPCXh0A P6BM5IJuC7CN8cDZMpASJUq8E4JRo0bZ1YDYN5CEhIT+/fvXr19fzE3GBlKt WrXu3bvHx8dPnjz59ddf5y+3iS5duigr9+zZs3kIaC1eRTrbX79+/Z133smN r1mzZq9evWbNmkUdSOOr6rQGDRoIeVixYsXFixfT09N79+5dvHhxKixZsmR2 draozLZfrFixxo0bDxs2LCkpiXpYmAZVPnToUDQjjeQwiFwzwKVcY9unbf7z n/8cOHDg999/P2/evE6dOvHORmh/eAo1cA6GILz62Wef1T0OTJ8+XVSmzOIN /vnPf6bDAu3wJ0+epBOK2rVr80Y+++wzR0Kw1SpboxC1EAyAwABgCmxfahy0 /QceeMBBDYh9A7n77rsDfyTU9N2hQwcS0fz8fGVhRkYGT3/33HOPxcHq2LEj fxDNjxZXcRsrfUWB075Bzb7mmmtGjBih6gclZ86c4S/zGzZsqFoUFxfHsZPh i8KffvqJ3OzXX39VVW7ZsiVXJs2wGVBIYsr2kWuO5FpmZmaLFi1+/vln1Ua+ ++47/pRWrVpZHDgHQxBerfTnUFALufLOnTuV5b/99luFChWonMTbkRBstcrW KEQtBAMgMACYAtuXmmjafnZ2dnJycp8+fdq0afOvf/2rfv3677zzTs+ePbdv 366tHMpAfvzxxx49etCKr732Wrt27YYOHbpr1y7t6vv27Rs9enTr1q3r1avX uHHjvn37btu2zTQQxuLEMWjQoE+DvPnmm8bTdyheeeUVXvHkyZOmlffv31+s WDGqTIHb+hRXsdJX4nobGnrjmmlpaVyTelW1SMjGgAEDTFu1efNmrkzWYVrZ InLZPnJNha1cO3/+PFd+6aWXTCs7HoItr37uuecCwZ8nzp49q1r04osv0qJr r73WkRBstSoUuqMQtRAMgMAAYApsX2qiafukHwE96Djftm1bVWWtgZDu1qpV S7t6oUKFPvroI+W6CQkJpUqVUlWjDQ4fPtxBAxEsW7YsPAPhK3Oo/dppTgt5 FPcVGZetT3EV077Kz8/n6/ArVap08eJF462dPn2az2gqV66s6pOpU6dyJ4e6 t1EJOS1X/uSTT6xEYQW5bB+5psJWrq1du5Y/xY1rSExDsOXV3bp148oTJ05U Lbr33nup/PnnnzfdSNRsX3cUohaCAZFkLgA+QXmQL+i2ANsYD5wbBnL11Vc/ 8cQTb775ZvPmzekwfu2113IbVHqgNZA6depwzSpVqvz73/9u1qwZbYflsGHD hqLahAkTuFrp0qVJbAYOHPjBBx+ULFmSC1NSUmLEQC5dusQ/7t95552mlTdv 3syPtmjatKn1j4gCpn2VlZXFndOpU6fffvstLS0tPj5+zJgxtDMcOHBAW592 Ca5frVq1LVu2cCG5wVNPPUWFZcuWNbgQSDB27FjeyDfffBNeXFpktH3kGmM9 13JychITE/kCEgqK/jTduHu2HxcXRznyyy+/GJwm08kvV6bzuN69e587d47L k5KSrKeALdu30ipdQo1C1EIwAAIDgCm+tf309PSXX365Xr16P/30U0G35X8c PXr0gSAWH9LooO2TS9TSY86cOWJmnzZt2qFDh5TrktHxd4PPPPOMgYHs2LGD m0o6oay2d+/eNm3akMzwn7TxO+64g6o9+eSTNCUpq5UpU4bKH3300RgxEGFK Vq42od0sELwd9eDBg9Y/IgqY9hVlB4dJPa/6ErhIkSKNGjVSCRUFSDVFnbp1 606aNInv1ytXrhwlnWmTyBb+/Oc/c3dROkQa4e/ElO0j1xzPNTpVqVGjRqFC hcSOt3XrVisbd8/2BdSq2267jc6ndu/era0/YsSIokWLck06Q6HT6lGjRvHT a1u0aGHlDRS2bN9iq7QYjEJ0QjDAhwIDgF2U6V/QbYkqfEkh8cQTTxR0W/4H TcHcqhkzZlipbzxwtgwkFHQkN1793//+N1W75ZZbDAxk3rx5vDXjx4nT0kDw K03tBcaDBg3iGSo7O9u4PVEwkJ07d/INa/SvqcCnpKTw9j/++GPrrYoOpn0V Hx+v3BlKlChx//3333PPPaKEHFV8m8fQELBGKilevPj+/futNKlp06a8yocf fhhRbH8kpmwfueZ4ronL6Ym77rqLetLim9qiYPsCOoFdtWqVdpXBgwdrK5Mn W2xSeLZv2iolpqMQhRAM4I8Le3UA/IAyNwu6LVFFPA7xkUceKei2/I8CtP2b brrpPT0WLVqkrLxnzx6aSZs1a/aPf/zjwQcfLF++PD/vrkiRIgYGcuTIEa52 66239u3bd9++fbot4SmbJutZGsTVoWlpaQVrIFlZWRUrVuRVTC+Czc/PFw9d DONFn25j2lf9+/fnSBs3brx582ZRvmPHDhp9XtSpUydRTp1Dp89UeN999w0Z MkR59XjlypVNH0YkPq5GjRrWX8JrhZiyfeSa47k2e/bsrl27vv/++3Q2yvXp PydOnDD9CMdDoP6n3Tg5OZl6j7a8du3aiRMnclIEgmdqFJSyflxcHH8N3rFj x9atW1MFrnnVVVd17tz5/PnzjoRgt1VKTEchOiEY4EOBAcAuvrV9Orb85z// IYfZuHFjQbflfxSg7ZteS0xTJ3md+K1chbGBEG+//bayPk0fr732Gs3RyrUe fvhh3Y0roQmrAA3k8OHD5LFcv1+/fqb1xd2ppg+0KRBM++rzzz/n9pN5qhaR A5C1BoKXfHAJdT5fBFK9enVxEQ5tv1GjRrzb0E6yfPnyUJ9FZwf8Wffcc4+B e4RHTNk+cs2NXBOMHj2a16ITKNPK0bkYiXjnnXd4RTomiEL+GYUYM2YMl5w7 d448nM7CuPy5555zPATTVikxHYUCD+EKbB8ACyiP7QXdFhDTtv/qq6/yx117 7bWkE1988UV8fHxKSgpfXWBqICQwpHPiBfeCxx57bM2aNVyHJwhyyBdCk5qa WlAGsn///kqVKnHlnj17mm6ZZr1y5cpR5dtvv/3MmTPWmxQ1TPtq0qRJHK/u b/1169YNBK8E4Dv+xK/5tJaqprjxtk6dOrofNGDAAK5QoUKFffv2hRlPaOSy feSa3VxTwT880bmnac2o2f6uXbt4RRopLqGs4TGifV5V+fjx41WrVjVIvUhC MG6VEtNRiIUQrsD2AbCAci6wtWJ+fj6p6dq1a7du3WrxCsnwoI3//PPPK1eu 3LZtm93HCBQUNA9Sz2RkZFh5Askvv/xCldkGf/31Vx6LWLN9aiQ/Vebhhx/e vXu3clHXrl2tGAhz9OjRH374oVevXi+99NKNN97I7a9cuTIv5Qs/qlWrZtpm A1yavrdv3162bNlA8HrmYcOGWdmy+NZr5MiR1tsTTUz7avXq1RyC7ouu3nrr LV7Ke6/488iRI6qalLk83HTio1pEOdKhQwdekYbewffnKpHI9pFrYeSaCnEZ v+nFPFGz/d9++41XpDThEhpcLmnZsqW2vjj/jYuLM95yJKqsbZXAyijEQghX YPsAWCAM26dJpFWrVmL6IIoWLUqzxtdff616GHLTpk1LlChB04p2I02aNKFF 2i/65s6dS+X169e/EjwQffLJJ8pvqG699VY+etMpRokg3333nW4jqYW09LHH HhMlf/vb30ro0b9/f+3qb7/9Ni2qWbOm7sb3799PraIKc+bMUS2aOnXqfffd J36Cv+666/71r39p5YcZPnz4nXfeyTULFy789NNPr1q1iv+MNdsXd2uOGzdO tciWgSghrxOXE+zdu5dK+A7Nq6++OjMz07TZoXBj+l66dCnvh7Srh/rJW8Xx 48d5lYoVK7p6OhwJpn1Fuy53ju5Xf7THBoLXfvOf4gKS7OxsbWX+krBcuXLK wnPnzgkxe/LJJ3Nzc8MPxhCJbB+5ZjfXtNC+FAi+OODy5cvGNaNm++KdcT16 9OCSn3/+mUtat26trT99+nReOnToUOMtR6LK2lYxFkchFkK4AtsHwAIBBVbq nz59+qGHHuL6t9122xNPPEGTOM0+XFKmTBmaAkRlnsdr1Kih3c4bb7xBix5/ /HFV+bRp06j8wQcfpBMHvk5AiXhnd35+PsvD3//+d+3GT548SZpNS7/88ktR yC8J0qI6yjFiwl27dq12Kd/FdssttyhvJCRvEQ8bv+aaa+6//37+YiQQPElR PQ6O5iDxXsJA8EEH/G2eOE2INdsXV2JQlyrLyevo1CxgZiBr1qxJTEzUbpbt JRB863qe4gHgr732mrbysWPH4uLiTMNxfPqeOHEi34N20003LV682OJmO3bs yJv973//a70xUcZKX3G+0y6tqrllyxY6RaVFL7/8Mpd89dVXHDL9R7URsk3a Ai169dVXRSHtPGxlxOuvv+7sbbkqJLJ95JrFXPv+++8zMjK05StWrODD6VNP PWXaJMdDmD17tu6eLK7OSk5O5hKaxUqUKBEIni9r3xHctm1brm96b7uVEKy3 6oqdUYhmCAZEkrkA+ASF9lpKFlIXrjxkyBDxtcn58+fp+FC+fHnVpX1h2/4d d9zBL4ipWrXq1KlTDx8+TB+xbdu2lJQUUXP48OGsx3v37lVtZMSIEYHg5cTK h4EfOXLklz/CP0/o2v6FCxf4KYL//ve/VYsuXrzIi0jnlOUff/wx9wyVnzp1 igtp5uX3Cap+4Bg5ciRXpnl/06ZNdMykVcaNG8dHzkDs2b54PSWN8vjx46nP 6QBO/SwexmhsIBRaIPjl7cyZM/khITSmP/zwA22Nyu++++4TJ05wzWeeeYY3 SDsATaw0giQeK1euJIHk50LQnOKIgdB564kg4r2l5EhcQotEtdTUVJEg1IYf 9Fi9erVq4/v37+eXGdHOb+VqroLCSl/R0PNJKJ1f0/7MhTQivGOTFYi3aJF6 8bhT7FOmTBFbyMzMZKun7cybN0+Ui7Nj6qX58+fr9m2o38XciDQSZ0CuGeBS rv3zn/+k882GDRvOmTNn9+7dly5doqP6oEGDxM/Bs2bNsjhwToVA3HDDDaVL l6apcPny5dSfNHNt3LjxhRde4LVoylP+3NCiRQsur1u3rrgznSp88803fMKi O3uGEYL1VtkdhaiFYEAkmQuATwgosFJffEGkfZwgJbhKbMK2febll182uLeR 5hp+AnDnzp1Vi/ghbO+++65xLPxEEV3bv/L700iuvfba48ePK8tpDmVvUT6l JC0tjY9sqlOAK8GDJ8sSzadcQhMEfzTNv6oA09PTOfZYs32ChiMQGisGIihV qhR3VyD4lLb4+HixIvWA8nHutFT8csQ4ZSB8/6wulStXFtWWLl1qELW2PiOe dEESa2UcCwqLfdWqVSsRbMmSJcVVfLRjq36jF88gIuh0oH79+qSd/K0+0b17 d2VlYZsGJCQkRC1S/sRIto9c08WlXCPbVy5SPcLI4sPenQ3hStCrQ7Xq1ltv 3b59u7Ly2bNnq1evzkuLFy9eq1atF198kc/LAsFfz+lM2ZEQrLfK7ihELQQD +LPCXh0AP6BMYSv1Fy5cyJXJ4efOnat6sY6KSGyfDiDGGydat24dCL68T/lE X3HpO2m28erGtn/o0CF+P+CQIUOU5fyjwz/+8Q9lYe/evflYp7pzgaFjYyD4 vnv+c/HixdxC7Z2PBfJMHr5UgzzEuNrBgwd51ATU8xR4ly5dAsHveJWVWQg7 dOjAf+7evfvDDz/kxzMqoalhwYIFqg/Kzs6mk0qySmVNUpHatWuPGjXKNByL E4eYj7RUqVJFVFu+fHmoaoKqVasqt0zBsl+RzVoZxALE+iQ7YcIE8Rhthvbq lStXamtSAj722GOqLqpUqdL333+vqvnXv/7VtG8TExMdiDNmbB+5piKSXKMD aYMGDfjlAkoqVqxIc5OtgXMqBKJfv37aq0bpNOrdd99VvXiaOX369GeffaaK gurT7KZbP7wQrLcqjCNedEIwgD8x7NUB8APK9LS4Ss+ePcU3AyVKlKDDxezZ s8W1K0oisX3TK/2uBF/xw5WVr/xo1KgRldCsarq6se0T//rXvwJ//B7j559/ 5tiVVzle+f1bpuuuu+4dPfiX5TZt2nDloUOHcrN/+eUX1ScWiO3bYtu2bdTb NEzLli3Lzc21u/q+fftoxYSEhKVLl4Z6748gMzMzJSWFJu4NGzbQrGHxIyKc OHyFrb66fPkymSQNxw8//GD6PHzy1SVLltA5wvz58/fs2WN6s6TbxIjt2wK5 ZoWLFy9S48lR4+PjKVK7b2pwKQQ6jaKeTEpKmjlzJo2j6Rumzpw5s3nzZqo8 derUdevWaa+BN8B6CHZbZYvohKALbB8AU8KwfWLjxo2qL1VIdNu3b696p3Yk tq/7WA8tf/vb36jys88+y3/SPMXXS3/77bem65ra/sqVK7kx4iIcvji/XLly KnsJdQuwkvfff58rf/TRR6E6PPZtP/aJBQORBf/0lYy2H/t4YP9BCLEAbB8A twnP9pmzZ88mJye3aNHi9ttv5y2ULFlS+fAZtv3q1atr13XK9ufMmcP1d+3a deX3p4KQxlt5mZGp7RMPPPAA1aFArgRv3b311lvpz759+6qq8e1O99577/rQ iFOhL774gtus/fYDth85Hpj7ooZ/+gq27wYe2H8QQiwA2wfAbSKxfcH58+cH Dx7Mj+NjMWaaNGkS0HufDtGgQQNHbP/SpUt333134PfbY6tVqxYI8WxwLVZs /5tvvgkEHz947NixWbNmBYIXzWqfE8LP5CxatGie4gGkoRBPIdZe9gzbjxwP zH1Rwz99Bdt3Aw/sPwghFoDtA+A2dm0/IyMjVFbyyxkffvhhUUIiHdB7SGZc XBzfxhi57V8J3n8UCN7Fxo8Oo4+zeNywYvtnzpzhq+6HDh360ksvBfTeOUgs WbKEm924cWPTz925cydXfuWVV1SLxPM0YPth44G5L2r4p69g+27ggf0HIcQC sH0A3MaW7Z8+fbpy5cpFihRp1aqV6rFaCxYsuPbaawN/fIO2uMzmueee43vz f/75506dOolPdMT2qSY/4u9Pf/pTIPjsaIsrWrH9K79fZl++fHl+RM+qVat0 q/EPGcQbb7yhvH9h165d77333ueff66szD9tEO3ateOXnhw5ckS8jwm2Hwke mPuihn/6CrbvBh7YfxBCLADbB8BtbNn+gQMH+PmTTIkSJUjXn3/+eX6tLXHn nXfu379f1L98+fJ9993HiwoVKiSe4FetWjV+mr0jtk+8++67olWzZ8+2uJZF 28/IyBAPrNa9B4E5deqUeDEoBVuhQoUnnnhC3NFw/fXXKx/OSWc9pUqV4kV0 9iSegEfnFPwWYNh+2Hhg7osa/ukr2L4beGD/QQixAGwfALexZfvMihUr6tev LzyWueaaa0i5te8xJ61VPnybFPe99947efJkUlIS/VmzZk1VfXFNuy3bX7du Ha9VtmzZS5cuWVzLou1f+f0mXCIuLs6gWn5+/vjx41XvYbnxxhubNm2qfBUX k5WVVbduXXEeQacDjRo1ys3NfeSRR+hPi8+Lhu1r8cDcFzX801ewfTfwwP6D EGIB2D4AbhOG7Qv4NeurVq2iPOXLUUJx8ODBlJSUTZs2qV6261WOHz9OPbNo 0SLtE/VVnDp1avXq1dQzFy5cCOODYPtaPDD3RQ3/9BVs3w08sP8ghFgAtg+A 20Ri+6DAge1r8cDcFzX801ewfTfwwP6DEGIB2D4AbgPblxrYvhYPzH1Rwz99 Bdt3Aw/sPwghFoDtA+A2sH2pge1r8cDcFzX801ewfTfwwP6DEGIB2D4AbgPb lxrYvhYPzH1Rwz99Bdt3Aw/sPwghFoDtA+A2sH2psWL7AAAmkmwypqAjA0B6 wku9CDMXAJ8A25ca2D4A1okkm4wp6MgAkJ7wUi/CzAXAJ8D2pQZX8miJcOLw Ff7pKyuR4koeu3hg/0EIsQBsHwC3ge1LDWxfiwfmvqjhn76C7buBB/YfhBAL wPYBcBvYvtTA9rV4YO6LGv7pK9i+G3hg/0EIsQBsHwC3ge1LDWxfiwfmvqjh n76C7buBB/YfhBALwPYBcBvYvtTA9rV4YO6LGv7pK9i+G3hg/0EIsQBsHwC3 ge1LDWxfiwfmvqjhn76C7buBB/YfhBALwPYBcBvYvtTA9rV4YO6LGv7pK9i+ G3hg/0EIsQBsHwC3ge1LDWxfiwfmvqjhn76C7buBB/YfhBALwPYBcBvYvtTA 9rV4YO6LGv7pK9i+G3hg/0EIsQBsHwC3ge1LDWxfiwfmvqjhn76C7buBB/Yf hBALwPYBcBvYvtTA9rV4YO6LGv7pK9i+G3hg/0EIsQBsHwC3ge1LDWxfiwfm vqjhn76C7buBB/YfhBALwPYBcBvYvtTA9rV4YO6LGv7pK9i+G3hg/0EIsQBs HwC3ge1LDWxfiwfmvqjhn76C7buBB/YfhBALwPYBcBvYvtTA9rV4YO6LGv7p K9i+G3hg/0EIsQBsHwC3ge1LDWxfi92J49KlSzk5Ofn5+Y5XJs6ePXvhwgXr jYky0fEE6q4zZ864/SnGwPbdwO7+c/78+dzcXOv1T506Zb0y5Salm/X6TEyp cniHC1dDuHz5clZW1m+//ebS9hnYPgBuA9uXmkhsPyMj46+WeeWVV6JpEZFg ZeI4duzYt99++/zzz1eoUKFIkSLUh0WLFi1fvnzHjh33798fSWVm3759b7/9 9r333luoUCGqXLVq1Q8++MCW50QHu5MseXvdunUfffTRdevWGdck9Zo2bVq7 du1q1ap1ww03UKcVK1YsMTHRYJWEhATacrNmzay3xzoFa/t+zrUDBw4MHjz4 2WefLVu27FVXXUU9XKJEiUceeWTixIlkkrqrLF68+PXXX6cUo8olS5asV6/e sGHDQm2fDPmTTz6pWbNm8eLFafv333//e++9t3v3blsDZ7HyFTspYL1yhIcL N0Kgk46RI0dSS66++moaBWpYmTJlmjRpkpmZabzx8LIYtg+A28D2pSYS29+8 eXPAMjfffHM0LSISrEwcr776aqhIb7nllu3bt4ddmRg/fvx1112nrXzbbbet WbMm7LF2A7uT7IwZMziWBQsWGFQ7cuQIWau2B8aOHRtqlVOnTpEkUJ3HH3/c RgCWKVjb93OuVa9ePVSkTz/9tPar7EmTJpHxais3bdqUTiFVlXNycsjztZVL lSqVlpZmfeCsD7TFFLBeOfLDheMh0MjWqFFDtIS/4mBI/hctWhRqy2FnMWwf ALdRHl4Kui3ANsYDZ2wg+/bte0cDz7N33HGHqrxVq1ZRlIiIsG775cuX//jj jydMmEDzF/37xBNPcH9WrVo17Mrr1q3jyfGmm24aNmzY+vXrV6xYQaJSqFAh KqxcuXJMXdhjcZJNSEjo379//fr1CxcubGovFPKdd97J1cjEevXqNWvWLNpC +/bttWtlZGSMHDmSFlWoUIFX8aTt+znX2ParVavWvXv3+Pj4yZMnv/766/xz D9GlSxdlZVJ0Li9duvSXX35JuTNu3LjHHnuMC7/44gvVxl988UVe1KBBg8TE xJSUFNqgSMDTp09bHDjTarZSwHplRw4XjodAnckVWrduTe25ePFienp67969 ixcvHgj+2pKdna2sH3kWw/YBcBvYvtREYvu60CRLG3z++edd0oMoYGXi6Nev H1kHzWLKQppYhVccOXIkvMp/+ctfAsFLfXbs2KGs36NHD67ct29fKyMbHSxO snfffXfgj4TyhPz8/AceeIAqXHPNNSNGjDC9wWH8+PGqLXvS9nXxSa516NAh KSlJtSeQH7Lw33PPPcry999/PxD8AnnVqlWi8Pjx4/feey+Vk0wqt/PLL7+w uJLBKi8KIm3moZw4caLFgTOtZj0FbFV25HDhbAhnzpzhE5CGDRuqFsXFxfGK s2fPVpZHnsWwfQDcRpmhBd0WYBvjgXPcQNLS0uiAP3bsWP7z8OHDNF/QnzNn zqQ/aVIeM2YMVdi0aZNqxZ07d8YFOXTokGrRvn37Ro8e3bp163r16jVu3Jhm t23bttlqs4pIJo5PP/2Uu3Tjxo1hVM7NzeUv5d577z1V5XPnzvEXX3feeWd4 bXMDi301aNCgT4O8+eabxvZCGsAV+vTpY6UBtKt8+jtly5aF7Qs8n2uvvPIK d/jJkye5hDzzxhtvpJKXX35ZVXnkyJFcefHixaKwd+/eXEidoKxMZwTct7Vq 1bI4cKbVrKeA9cpOHS6cDUH8vEI1VYs2bNjAiwYMGKAsjzyLYfsAuA1sX2qi bPviG6eDBw82b96c77kLBL+boqUHDhzgPwcPHqxacerUqbxo/fr1yvKEhIRS pUr98WuhwPXXXz98+HBbzVYSycTx97//PRD8XtrKMyi0lUlFOIQhQ4Zo6//n P//hpaHu7Y0+dvtq2bJlBp5AlsWX+1aqVEn1U4gVnn32Wdi+wPO59vrrrweC t3+KB+msXbtWBKWqvGPHDl5E3SIKOQFLlCihvdu3YcOGtKhw4cKhbgRWDZz1 ZhungK3KTh0unA3h9OnTxYoVCwSvI1I940jsWga394aXxbB9ANxGeeQv6LYA 2xgPnHsGUqZMGeWeE56BTJgwgQvpQ9u2bTtw4MAPPvigZMmSXJiSkmJTPf4/ YUwcpAQbNmygT+eP7t27d3iVlyxZwoVffvmldkXxVeRPP/1kq3nu4awnZGVl 8dJOnTrRGVBaWlp8fPyYMWOSk5Np3zDdOGxfiVdzjbl06RJfWKL87vq7777j 9ujeB8oPh2nZsqUo4ctgnnrqKW3lPn368KaUV9kZDJz1ljto+04dLhwPgfZJ rlCtWrUtW7ZwIZk/dTUVli1b1uAKPdg+ALGJch4p6LYA2xgPnHsGEgjegDli xIjU1NSNGzcmJSXl2TSQQ4cO3XHHHVTy5JNP0oqi5t69e1lvHn30UVstF9ia OKgZderUEdpTrFgxmmRDzWWmlXNzc3lRgwYNtKt/++23vHT+/PkWm+c2znoC aQkvpbFTfY1cpEiRRo0a5eTkGGwctq/Ee7mmRJx9dOjQQRSOHTuWC3W/Oua8 e/XVV0UJN546UFtZXLovZNV44Ky33EHbd+pw4XgIBw8e5EfrMHXr1p00aVLt 2rXp/+XKlUtPTzfYOGwfgNhEOSMXdFuAbYwHzj0Docn05MmTqqW2DIS/fLv6 6qt37dqlqjxo0KBA8Cf+7OxsW41nbE0cVFOZAg0bNjSYy6xU5tsJCZqsleWn Tp1q27YtL1Jee1ywOOsJ8fHxyv4pUaLE/ffff88994iSWrVqnTt3LtTGYftK vJdrgp07d/ItuvQviaUoF99mq25ZZfi3ADrx4T/pLDvUzaRXFPeNLly40MrA WW+8g7Z/xaHDhRsh0ODyGaKS4sWLm15WBNsHIDZR5nJBtwXYxnjg3DOQEydO aJfaMhC+U+yuu+6apaFbt25cOS0tzVbjGVsTx/Hjxz/77LMOHTq89tpr/Hy5 woULx8XFhV150aJF4vHUNOW1a9euffv2L730knjkIEHSZX2IXcVZT+jfvz8v bdy48ebNm0U5yduDDz7Iizp16hRq47B9Jd7LNSYrK6tixYr8odOnT1cu6t69 O5frvhuL71oVtn/x4kW+xfWtt97SVp40aRJvKsZt35HDheMh0BjxE4bvu+++ IUOG0Em6aEzlypVpvzLYOGwfgNgkoKCg2wJsYzxwsWwgDz/8cMCM5ORkW41n wp44cnJyqlatGgh+C2r6Lk6DyhMnTrz++utVsdB5AT9fnRTF7dfQW8dZT/j8 88956Z49e1SLyB9uuummQPCikVAbh+0r8WSuHT58mASSP7Ffv36qpcOHD+dF ylNFAV8b9sILL4iSW265hUpeeeUVbWXxDB/Td2wVrO1fceJw4WwINKx8iVT1 6tWPHj0qPqJRo0Z8ekWnJ8uXLw+1cdg+ALGJ8ghT0G0BtjEeuFg2kLvuuisQ fKfMC6FJTU211XgmkokjKSmJ22nw1lcrlY8dO0ad0KxZs5dffrlp06b9+/cn Aea3dN1+++3htc0NnPUE8YWq8mHpgrp16waCNzuEelwPbF+J93Jt//79lSpV 4rb17NlTW0G843X16tXapddeey0t+s9//iNKqlSpEgheVa6tPGDAAN6U6e3h BW77VyI+XDgbArWEl1I6qxaJGyvq1KkTauOwfQBiE9i+1MSm7ffr10+1SGsg /OtwtWrVbDXPCpFMHP/n9yvz27dv72zlCxcu3HbbbYE/fjlZ4DjrCSRpvHTy 5MnapW+99RYvPXPmjO7GYftKPJZr27dv5yexFypUaNiwYbp1li9fzi2fMmWK atGvv/7Ki5Tv3v3rX/9KJRUrVtRuit/SRZw/f97KwFkJgXHD9rXYOlw4G4LI U+3jjOg8nV+IYHAOAtsHIDaB7UtNTNn+4cOHeWnnzp1Vi7QG0rRp00DwMpjM zExbLTQlkokjJSWF2zlw4EBnK5OVceWVK1eG1zY3cNYTSA8MTn+efvrpQPDq 8VAbh+0r8VKuLV269Oabbw4EHx9KzQtVjZSeXytADVYtmj59Ogel/MK5ZcuW XKi81ZfhHxEqVKhgceBMqwmiY/u2DhfOhvD222/z0uzsbO1S7thy5cqF2jhs H4DYBLYvNTFl+wQ/Ja9WrVrKQpo1mjRpojIQ8Qi+1157TbudY8eOxcXF2Wq5 wHTiyMnJIXnQXk+Sn5//3HPPcavEE79tVQ4FTa98HULt2rWNa0YZx1XnoYce CgTfOKba7JYtWwoXLhzQe02qALavxBu5diV4XTo/Kv+mm24yfbwMvzCLekb5 xTLlWr169QLBZ/icPn1alIu3cSlfuXVF8RuT7vVCugNnWk0QBdu3e7hwNoSv vvqKl9J/VIsOHTpEqR3443NQVcD2AYhNYPtSE2u2L57e0K1bt61bt5JvDB06 VPkMRuUbf5555hkurFOnDk1A5NUkHitXrqRZhp/aoX3woBVMJ4709PRA8Oup QYMGkRjk5uaePXt21apVfGE58eCDD164cCGMysySJUvS0tLOnTtHlalmmzZt +O42cpXU1FRHxt0pLE6ypFgngiQnJ3PUiYmJXKK0rytBAeNgK1WqtGbNGi6k MeUnDZL1qZ5/TqdRJ36nZs2aVIfOF0TJpUuXohmpXLYvRa7RDi/aQ5/1gx7K q/Rpv+LKTz/9NO0q5PlkmO3bt+fCZs2aqbbPd8pfddVV48aNo46iTKSgbr/9 di608k43x1PAbuXIDxfOhpCRkcF3DRcrVkx5SVVmZuaTTz4ZCF6LNW/ePOWW I89i2D4AbgPbl5pYs32aBQJ68Pe6KgMhkVbKCc3O4mF0jKu2H4qbb755586d 4VVmxCvvlZCWxM6DNwUWJ1k62QnVA5UrV1ZVbtWqlVhasmRJvtA3EJQE0lFV ZfG1sy4JCQnRjJQ/NJLt29pR/ZBrS5cuNRhf7S5E3vjGG2+IRdddd52ymtbe ye35WU8cOH8lzjublevrrriTArYqR364cDwEcTEYQefp9evXJ8/nb/WJ7t27 q7YceRbD9gFwG2VWFnRbgG2MBy4MA+GvxV544QXdpb169QoEZ9JQBkKMGDFC +UC5G264oWfPnpMnT+Y/N2zYoKycnZ3dtWtX8XZahlSkdu3ao0aNstVygenE QXV69+5do0YN1axEn9usWTPV1aq2KjPK6bto0aIPPPBA+/bttd/pxQIWJ9ny 5cuHmsqrVKmirU+zPz8dUUA6oXsF8sSJE0NtmZgxY4YDQQaJQdv3Q66JG28N ILNVrpKfn9+pUyflA+cpif7xj38cP35c9yO2bdtWrVo1/j6cue2226ZNm2Zr 4Eyr2UoBW5UjP1y4EcKqVasee+wxVbVKlSp9//332i1HnsWwfQDcRpmVBd0W YBvjgQvDQBwhKytr4cKFNAWkpqYauIqSzMzMlJSUuXPnkqLk5ORE8unWJw5q 2+bNm5OSkmbNmrVlyxbj51pbr3z06NEff/wxMTFx/fr1Bq+OjQUinGQNuHz5 8u7du2lAf/jhB9of3PgIW8Sg7TuCLLlmF3L+nTt3kiiuXbvWyvspKPbFixdT UFau3lHiXggWifxw4V4IBw8eXLJkCZ28z58/f8+ePZTUbnzKFdg+AO4D25ea 2LT9gqXAp2+J8E9fedX2CxYP7D8IIRaA7QPgNrB9qYHta/HA3Bc1/NNXsH03 8MD+gxBiAdg+AG4D25ca2L4WD8x9UcM/fQXbdwMP7D8IIRaA7QPgNrB9qYHt a/HA3Bc1/NNXsH038MD+gxBiAdg+AG4D25ca2L4WD8x9UcM/fQXbdwMP7D8I IRaA7QPgNrB9qYHta/HA3Bc1/NNXsH038MD+gxBiAdg+AG4D25ca2L4WD8x9 UcM/fQXbdwMP7D8IIRaA7QPgNrB9qYHta/HA3Bc1/NNXsH038MD+gxBiAdg+ AG4D25ca2L4WD8x9UcM/fQXbdwMP7D8IIRaA7QPgNrB9qYHta/HA3Bc1/NNX sH038MD+gxBiAdg+AG4D25ca2L4WD8x9UcM/fQXbdwMP7D8IIRaA7QPgNrB9 qYHta/HA3Bc1/NNXsH038MD+gxBiAdg+AG4D25caK7YPAGAiySZjCjoyAKQn vNSLMHMB8AmwfamB7QNgnUiyyZiCjgwA6Qkv9SLMXAB8AmxfajBwADgFsgkA GUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxfajBw ADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB5gJg CmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJ ABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2ow cAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYC YApsX2owcAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWy CQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9q MHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxfajBwADgFsgkAGUHm AmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxfajBwADgF sgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB5gJgCmxf ajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4BbIJABlB 5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYApsX2owcAA4 BbIJABlB5gJgCmxfajBwADgFsgkAGUHmAmAKbF9qMHAAOAWyCQAZQeYCYEoA AAAAAAAAAAAAAAAAAAASUtC/MAAAAAAAAADc4v8C7c8BSg== "], {{0, 818}, {1018, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{509., Automatic}, ImageSizeRaw->{1018, 818}, PlotRange->{{0, 1018}, {0, 818}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.779629477049223*^9, {3.779629543822254*^9, 3.779629573563398*^9}, 3.779629666832323*^9, 3.779629711178035*^9, {3.779629799477756*^9, 3.779629821855646*^9}, 3.7800512459697857`*^9, 3.780052570552155*^9, { 3.780052689635244*^9, 3.780052693237164*^9}, 3.780054188692346*^9}, CellLabel->"Out[4]=", CellID->182786852] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["Source & Additional Information", "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Source & Additional Information"}, CellTags->{"Source & Additional Information", "TemplateSection"}, CellID->611501116], Cell[CellGroupData[{ Cell[TextData[{ "Contributed By", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Contributed By", Cell[ BoxData[ FrameBox[ Cell[ "Enter the name of the person, people or organization that should be \ publicly credited with contributing this function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoContributedBy"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Contributed By"}, DefaultNewCellStyle->"Text", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256], Cell["Anton Antonov", "Text", CellID->371944346] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Keywords", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Keywords", Cell[ BoxData[ FrameBox[ Cell[ "List relevant terms (e.g. functional areas, algorithm names, related \ concepts) that should be used to include the function in search results.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoKeywords"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Keywords"}, DefaultNewCellStyle->"Item", CellTags->{"Keywords", "TemplateCellGroup"}, CellID->696375425], Cell["xtabs", "Item", CellID->501126921], Cell["tabulate", "Item", CellID->670229312], Cell["co-occurence", "Item", CellID->52617004] }, Open ]], Cell[CellGroupData[{ Cell["Categories", "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Categories"}, DefaultNewCellStyle->"Item", CellTags->{"Categories", "TemplateCellGroup"}, CellID->362094786], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Cloud & Deployment"}], "\" \"", "\"Cloud & Deployment\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[ "Data Manipulation & Analysis", { False, "Data Manipulation & Analysis"}], "\" \"", "\"Data Manipulation & Analysis\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "External Interfaces & Connections"}], "\" \"", "\"External Interfaces & Connections\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Geographic Data & Computation"}], "\" \"", "\"Geographic Data & Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Graphs & Networks"}], "\" \"", "\"Graphs & Networks\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Images"}], "\" \"", "\"Images\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[ False, {False, "Knowledge Representation & Natural Language"}], "\" \"", "\"Knowledge Representation & Natural Language\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Notebook Documents & Presentation"}], "\" \"", "\"Notebook Documents & Presentation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Repository Tools"}], "\" \"", "\"Repository Tools\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Social, Cultural & Linguistic Data"}], "\" \"", "\"Social, Cultural & Linguistic Data\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Strings & Text"}], "\" \"", "\"Strings & Text\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "System Operation & Setup"}], "\" \"", "\"System Operation & Setup\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "User Interface Construction"}], "\" \"", "\"User Interface Construction\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Wolfram Physics Project"}], "\" \"", "\"Wolfram Physics Project\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Core Language & Structure"}], "\" \"", "\"Core Language & Structure\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Engineering Data & Computation"}], "\" \"", "\"Engineering Data & Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Financial Data & Computation"}], "\" \"", "\"Financial Data & Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Geometry"}], "\" \"", "\"Geometry\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Higher Mathematical Computation"}], "\" \"", "\"Higher Mathematical Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Just For Fun"}], "\" \"", "\"Just For Fun\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Machine Learning"}], "\" \"", "\"Machine Learning\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Programming Utilities"}], "\" \"", "\"Programming Utilities\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[ False, {False, "Scientific and Medical Data & Computation"}], "\" \"", "\"Scientific and Medical Data & Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Sound & Video"}], "\" \"", "\"Sound & Video\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Symbolic & Numeric Computation"}], "\" \"", "\"Symbolic & Numeric Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Time-Related Computation"}], "\" \"", "\"Time-Related Computation\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Visualization & Graphics"}], "\" \"", "\"Visualization & Graphics\""}, "RowDefault"], StripOnInput->False, FontSize->12]}, {"\<\"\"\>"} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxVj00KAjEMhVH8mRHxBC5m5W4OMfgDgqIYL1BnohY7bWmSRW9viyC6SuB7L++\ lKWoYA0eDMDkJe+Eapusnti/s7gMaHTQxLDeKVXVUVnsxirWz1apqrDKRNCX/\ nrEnKhth1yfc1lCcg/MYOMJsrRgfLmhMyunJZzfdh5/\ LeV7EIBXbTrO6pW28U4bwC8oNGvwluZ4z0tv/wMXeMgYfkjYnQNnYCHIjTP/\ ML0hOQovX6BGKndg2a9700ldH"}, CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->492118766] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Related Symbols", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Related Symbols", Cell[ BoxData[ FrameBox[ Cell[ "List up to twenty documented, system-level Wolfram Language symbols \ related to the function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoRelatedSymbols"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Related Symbols"}, DefaultNewCellStyle->"Item", CellTags->{"Related Symbols", "TemplateCellGroup"}, CellID->659846169], Cell["GroupBy", "Item", CellID->989726367], Cell["Tally", "Item", CellID->609279010], Cell["MatrixPlot", "Item", CellID->530409282], Cell["MatrixForm", "Item", CellID->433997162], Cell["Dataset", "Item", CellID->161169288], Cell["ClassifierMeasurementsObject", "Item", CellID->276620459] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Related Resource Objects", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Related Resource Objects", Cell[ BoxData[ FrameBox[ Cell[ "List the names of published resource objects from any Wolfram \ repository that are related to this function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoRelatedResourceObjects"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Related Resource Objects"}, DefaultNewCellStyle->"Item", CellTags->{"Related Resource Objects", "TemplateCellGroup"}, CellID->465534472], Cell["RecordsSummary", "Item", CellID->613916374] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Source/Reference Citation", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Source/Reference Citation", Cell[ BoxData[ FrameBox[ Cell[ "Give a bibliographic-style citation for the original source of the \ function and/or its components (e.g. a published paper, algorithm, or code \ repository).", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoSourceReferenceCitation"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Source/Reference Citation"}, DefaultNewCellStyle->"Text", CellTags->{"Source/Reference Citation", "TemplateCellGroup"}, CellID->515669552], Cell["Source, reference or citation information", "Text", CellEventActions->{Inherited, {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]], PassEventsDown -> False, PassEventsUp -> False}, CellTags->{"DefaultContent", "TabNext"}, CellID->436399423] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Links", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Links", Cell[ BoxData[ FrameBox[ Cell[ "List additional URLs or hyperlinks for external information related \ to the function.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoLinks"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Links"}, DefaultNewCellStyle->"Item", CellTags->{"Links", "TemplateCellGroup"}, CellID->571756773], Cell[TextData[ButtonBox["Wikipedia\[Dash]Contingency table", BaseStyle->"Hyperlink", ButtonData->{ URL["https://en.wikipedia.org/wiki/Contingency_table"], None}, ButtonNote->"https://en.wikipedia.org/wiki/Contingency_table"]], "Item", CellID->471529848], Cell[TextData[ButtonBox["Contingency tables creation \ examples\[Dash]Mathematica for prediction algorithms", BaseStyle->"Hyperlink", ButtonData->{ URL["https://mathematicaforprediction.wordpress.com/2016/10/04/contingency-\ tables-creation-examples"], None}, ButtonNote-> "https://mathematicaforprediction.wordpress.com/2016/10/04/contingency-\ tables-creation-examples"]], "Item", CellID->118692475], Cell[TextData[ButtonBox["antononcube GitHub\[Dash]CrossTabulate", BaseStyle->"Hyperlink", ButtonData->{ URL["https://github.com/antononcube/MathematicaForPrediction/blob/master/\ CrossTabulate.m"], None}, ButtonNote-> "https://github.com/antononcube/MathematicaForPrediction/blob/master/\ CrossTabulate.m"]], "Item", CellID->146005845] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Tests", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"VerificationTests", Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Specify an optional list of tests for verifying that the function \ is working properly in any environment. Tests can be specified as \ Input/Output cell pairs or as symbolic ", Cell[ BoxData[ StyleBox[ TagBox[ ButtonBox[ StyleBox[ "VerificationTest", "SymbolsRefLink", ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"], BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, { "Link"}]], ButtonData -> "paclet:ref/VerificationTest", ContentPadding -> False], MouseAppearanceTag["LinkHand"]], ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"]]], " expressions for including additional options."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoVerificationTests"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "VerificationTests"}, DefaultNewCellStyle->"Input", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Block", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "300"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"sarr", "=", RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"CharacterRange", "[", RowBox[{"\"\\"", ",", "\"\\""}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"RandomChoice", "[", RowBox[{ RowBox[{"RandomWord", "[", RowBox[{"\"\\"", ",", "5"}], "]"}], ",", "n"}], "]"}], ",", RowBox[{"ConstantArray", "[", RowBox[{"1", ",", "n"}], "]"}]}], "}"}], "]"}]}]}], "\[IndentingNewLine]", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{"data", "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}]}], "\[RightDoubleBracket]"}], ",", RowBox[{"\"\\"", "\[Rule]", "False"}]}], "]"}], "\[Equal]", RowBox[{"CrossTabulate", "[", RowBox[{"data", ",", RowBox[{"\"\\"", "\[Rule]", "False"}]}], "]"}]}]}], "Input", CellChangeTimes->{{3.778697940299717*^9, 3.778697968549439*^9}, { 3.778697999919715*^9, 3.778698028536812*^9}, {3.77869821505204*^9, 3.778698217338504*^9}}, CellLabel->"In[1]:=", CellID->24695718], Cell[BoxData["True"], "Output", CellChangeTimes->{{3.778698020917639*^9, 3.7786980290256777`*^9}, 3.778698231661249*^9, 3.779623000670311*^9, 3.780051246327235*^9, 3.780052570878398*^9, 3.78005418922092*^9}, CellLabel->"Out[2]=", CellID->529114787] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{"data", "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}]}], "\[RightDoubleBracket]"}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}], "\[Equal]", RowBox[{"CrossTabulate", "[", RowBox[{"data", ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.778698226795137*^9, 3.778698229854631*^9}}, CellLabel->"In[3]:=", CellID->616993289], Cell[BoxData["True"], "Output", CellChangeTimes->{{3.778698230328402*^9, 3.778698233198286*^9}, 3.7796230006893387`*^9, 3.780051246338978*^9, 3.78005257088807*^9, 3.780054189273654*^9}, CellLabel->"Out[3]=", CellID->748992287] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"titanic", "=", RowBox[{"ExampleData", "[", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\""}], "}"}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"CrossTabulate", "[", RowBox[{"titanic", "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}]}], "\[RightDoubleBracket]"}], "]"}], "\[Equal]", RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{"Normal", "[", RowBox[{"titanic", "[", "Values", "]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}]}], "\[RightDoubleBracket]"}], "]"}]}]}], "Input", CellChangeTimes->{{3.778698051904475*^9, 3.778698094507411*^9}, { 3.778698129636451*^9, 3.778698137380282*^9}}, CellLabel->"In[4]:=", CellID->8278227], Cell[BoxData["True"], "Output", CellChangeTimes->{3.77869809494645*^9, 3.778698137633204*^9, 3.778698196758597*^9, 3.779623000728839*^9, 3.78005124637668*^9, 3.7800525709453363`*^9, 3.780054189331992*^9}, CellLabel->"Out[5]=", CellID->993604659] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{"titanic", "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}]}], "\[RightDoubleBracket]"}], ",", RowBox[{"\"\\"", "\[Rule]", "False"}]}], "]"}], "\[Equal]", RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{ RowBox[{"Normal", "[", RowBox[{"titanic", "[", "Values", "]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"1", ",", "2"}], "}"}]}], "\[RightDoubleBracket]"}], ",", RowBox[{"\"\\"", "\[Rule]", "False"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.778698156550349*^9, 3.7786981872063837`*^9}}, CellLabel->"In[6]:=", CellID->763365969], Cell[BoxData["True"], "Output", CellChangeTimes->{{3.778698167665756*^9, 3.7786981956868353`*^9}, 3.779623000769582*^9, 3.7800512464149113`*^9, 3.7800525710037003`*^9, 3.7800541893850718`*^9}, CellLabel->"Out[6]=", CellID->340631766] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{"titanic", "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"3", ",", "4"}], "}"}]}], "\[RightDoubleBracket]"}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}], "\[Equal]", RowBox[{"CrossTabulate", "[", RowBox[{ RowBox[{ RowBox[{"Normal", "[", RowBox[{"titanic", "[", "Values", "]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"All", ",", RowBox[{"{", RowBox[{"3", ",", "4"}], "}"}]}], "\[RightDoubleBracket]"}], ",", RowBox[{"\"\\"", "\[Rule]", "True"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.778698156550349*^9, 3.7786981935409327`*^9}}, CellLabel->"In[7]:=", CellID->826853465], Cell[BoxData["True"], "Output", CellChangeTimes->{{3.77869817892627*^9, 3.778698193858658*^9}, 3.779623000809793*^9, 3.7800512464549713`*^9, 3.7800525710903788`*^9, 3.780054189423149*^9}, CellLabel->"Out[7]=", CellID->187319866] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"titanic2", "=", RowBox[{ RowBox[{"DeleteMissing", "[", RowBox[{"titanic", ",", "1", ",", "2"}], "]"}], "[", RowBox[{"All", ",", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}]}], "]"}]}], ";"}]], "Input", CellChangeTimes->{{3.7786983490061626`*^9, 3.7786983516717997`*^9}}, CellLabel->"In[8]:=", CellID->942081547], Cell[BoxData[ RowBox[{"ct1", "=", RowBox[{"CrossTabulate", "[", "titanic2", "]"}]}]], "Input", CellChangeTimes->{{3.778698253373879*^9, 3.7786983563119087`*^9}}, CellLabel->"In[9]:=", CellID->534497553], Cell[BoxData[ RowBox[{"ct2", "=", RowBox[{"Total", "/@", RowBox[{"titanic2", "[", RowBox[{ RowBox[{"GroupBy", "[", RowBox[{ RowBox[{"{", RowBox[{"#sex", ",", "#class"}], "}"}], "&"}], "]"}], ",", "All", ",", "\"\\""}], "]"}]}]}]], "Input", CellChangeTimes->{{3.77869836202806*^9, 3.7786984007108603`*^9}, { 3.778698440898038*^9, 3.7786985797919703`*^9}, {3.778698643324626*^9, 3.778698646561635*^9}}, CellLabel->"In[10]:=", CellID->366188927], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ct1", "[", RowBox[{"\"\\"", ",", "\"\<1st\>\""}], "]"}], "\[Equal]", RowBox[{ RowBox[{"Normal", "[", "ct2", "]"}], "[", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\<1st\>\""}], "}"}], "]"}]}]], "Input", CellChangeTimes->{{3.7786985868458643`*^9, 3.778698688506364*^9}}, CellLabel->"In[11]:=", CellID->118517040], Cell[BoxData["True"], "Output", CellChangeTimes->{3.7786986241209106`*^9, 3.7786986566455927`*^9, 3.778698692179317*^9, 3.779623001199366*^9, 3.780051246698991*^9, 3.780052571304742*^9, 3.780054189645749*^9}, CellLabel->"Out[11]=", CellID->541699544] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ct1", "[", RowBox[{"\"\\"", ",", "\"\<3rd\>\""}], "]"}], "\[Equal]", RowBox[{ RowBox[{"Normal", "[", "ct2", "]"}], "[", RowBox[{"{", RowBox[{"\"\\"", ",", "\"\<3rd\>\""}], "}"}], "]"}]}]], "Input", CellChangeTimes->{{3.7786985868458643`*^9, 3.778698710495536*^9}}, CellLabel->"In[12]:=", CellID->77465674], Cell[BoxData["True"], "Output", CellChangeTimes->{3.778698710850073*^9, 3.779623001238062*^9, 3.7800512467351027`*^9, 3.780052571359869*^9, 3.7800541896789713`*^9}, CellLabel->"Out[12]=", CellID->658983156] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Compatibility", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Compatibility", Cell[ BoxData[ FrameBox[ Cell[ "Specify any known compatibilities for your resource to ensure it is \ discoverable on the correct platforms.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibility"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsection", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Compatibility"}, CellTags->{"Compatibility", "TemplateCellGroup"}, CellID->559974822], Cell[CellGroupData[{ Cell[TextData[{ "Wolfram Language Version", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityWolframLanguageVersionRequired", Cell[ BoxData[ FrameBox[ Cell[ "Enter required Wolfram Language Version (e.g. 12.1+).", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> { "SectionMoreInfoCompatibilityWolframLanguageVersionRequired"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{ "TemplateGroupName" -> "CompatibilityWolframLanguageVersionRequired"}, DefaultNewCellStyle->"Text", FontSize->16, CellTags->{ "CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016], Cell["12.3+", "Text", CellTags->{"DefaultContent", "ScrapeDefault"}, CellID->913148768] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Operating System", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityOperatingSystem", Cell[ BoxData[ FrameBox[ Cell[ "Select all operating systems where your resource is expected to \ function properly.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibilityOperatingSystem"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{"TemplateGroupName" -> "CompatibilityOperatingSystem"}, DefaultNewCellStyle->"Item", FontSize->16, CellTags->{ "CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Windows", {False, "Windows"}], "\" \"", "\"Windows\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["MacOSX", {False, "MacOSX"}], "\" \"", "\"Mac\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Unix", {False, "Unix"}], "\" \"", "\"Unix\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxNkNuKwkAMhsEerLDsE/gKfQipCoJLF7PL7m0PUQenM8Mkg87bmwot3iX5/\ 3w5bIoSMuCoEfI6sAtcwrK6YnfD/pxQelTEsPxTprd3gvyr6Wr4h/\ TXqIc0HhgHmmznBaWnIKDZPgWzkkj/\ BJmLL9iELL69deg5wrqyg2tYtUorjrUUJTEXiCRDZcnasbLmxX6fTsWuV9y0EmX7RhPOwmqLGt+\ V8VKrw2CoSkr4PBhG77xYRjCsNiZCaAnlIx8nJBt8hz/RIRT7YLrR8wRtF2wJ"}, CellTags->{ "CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Required Features", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityFeatures", Cell[ BoxData[ FrameBox[ Cell[ TextData[{"Choose any other features that are ", Cell[ BoxData[ StyleBox[ StyleBox["required", "TI"], ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"]]], " in order to use your resource."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibilityFeatures"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{"TemplateGroupName" -> "CompatibilityFeatures"}, DefaultNewCellStyle->"Item", FontSize->16, CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Notebooks"}], "\" \"", "\"Notebooks\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Parallel Kernels"}], "\" \"", "\"Parallel Kernels\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[False, {False, "Cloud Access"}], "\" \"", "\"Cloud Access\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxlUM1qwzAMHmuzJlDKLrv3BfIQIVugrKyl2gs4jsJMFdtY8sFvP2eDkLHb96cPSU1ZQw\ GSCOHpEsVHqWHXfqG+4zA+8PZsOCvFSXDicfPLx0fe3mKeqD6cYO/cnVdwcZ+vKigipOM7BovE/\ 5Ulu2/JxeHYaI3Mf1kN5TU4j0ESvLRu8kpMb8hI6lBJDJgTu4sX4+\ xP33pDLt8GI6rPqOgUMS5G9YqEa2c+21GcLLebGg4nKxh8yJG5GKrGJog9Y37G/\ obsYtD4mTxC2UWr58w3NfBx2Q=="}, CellTags->{ "CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Environments", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityEvaluationEnvironment", Cell[ BoxData[ FrameBox[ Cell[ TextData[{ "Select all evaluation environments where your resource is expected \ to be compatible. See ", Cell[ BoxData[ StyleBox[ TagBox[ ButtonBox[ StyleBox[ "$EvaluationEnvironment", "SymbolsRefLink", ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"], BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, { "Link"}]], ButtonData -> "paclet:ref/$EvaluationEnvironment", ContentPadding -> False], MouseAppearanceTag["LinkHand"]], ShowStringCharacters -> True, FontFamily -> "Source Sans Pro"]]], " for more details."}], "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibilityEvaluationEnvironment"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{"TemplateGroupName" -> "CompatibilityEvaluationEnvironment"}, DefaultNewCellStyle->"Item", FontSize->16, CellTags->{ "CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Session", {False, "Session"}], "\" \"", TemplateBox[{ "\"Session\"", "\"Local or cloud interactive session\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["WebEvaluation", {False, "WebEvaluation"}], "\" \"", TemplateBox[{ "\"WebEvaluation\"", "\"Cloud evaluation initiated by an HTTP request\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["BatchJob", {False, "BatchJob"}], "\" \"", TemplateBox[{"\"BatchJob\"", "\"Remote batch job\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Script", {False, "Script"}], "\" \"", TemplateBox[{"\"Script\"", "\"Script run in batch mode\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["WebAPI", {False, "WebAPI"}], "\" \"", TemplateBox[{ "\"WebAPI\"", "\"API called through an HTTP request\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, {"\<\"\"\>"} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"], TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox["Subkernel", {False, "Subkernel"}], "\" \"", TemplateBox[{"\"Subkernel\"", "\"Parallel or grid subkernel\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, { StyleBox[ TemplateBox[{ CheckboxBox["Scheduled", {False, "Scheduled"}], "\" \"", TemplateBox[{"\"Scheduled\"", "\"Scheduled task\""}, "PrettyTooltipTemplate"]}, "RowDefault"], StripOnInput->False, FontSize->12]}, {"\<\"\"\>"} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxdUdFqwzAMhK1tEtj2EXvPR3RpChmDlmqw58RRialjG0su5O/\ nlMTJ9mRJd9yd5H2awxZ4UAi7k2frOYek6FDcsL0mtPmSxJAAEkmjYQfCScuQgW9u6DQqeP3BprzXy\ tf8YIR2f64CQ3TYeoUtpB81i+7TNMGpYuxp1r0+0eYSKIv+XERkNpzeOF8FWMqI/\ sv0t120p6jTu9KO0ZcyonGb9V7p2RmLjgd4L0xvg08jleRhcS31XTqje9TjgU92nNEouj4EpWUruW5\ CtT3WijAC2QEVrpHxl4zyvabiOYe3SjM66wLlsXG210M4C2Ewe7kgGe8Efg82xD96LUbOL+VQrkA=\ "}, CellTags->{ "CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Cloud Support", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"CompatibilityCloudSupport", Cell[ BoxData[ FrameBox[ Cell[ "Specify whether your resource is expected to work in the public \ cloud.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoCompatibilityCloudSupport"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Subsubsection", Editable->False, Deletable->False, CellMargins->{{Inherited, Inherited}, {4, 6}}, TaggingRules->{"TemplateGroupName" -> "CompatibilityCloudSupport"}, DefaultNewCellStyle->"Text", FontSize->16, CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371], Cell[BoxData[ TagBox[GridBox[{ { TagBox[GridBox[{ { StyleBox[ TemplateBox[{ CheckboxBox[True, {False, True}], "\" \"", "\"Supported in cloud\""}, "RowDefault"], StripOnInput->False, FontSize->12]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Column"]} }, AutoDelete->False, BaseStyle->{"ControlStyle"}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Top}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{2}}}], "Grid"]], "Output", Editable->False, Deletable->False, TaggingRules->{ "CheckboxData" -> "OEM6eJxNjkEKwkAMRVGqVhAX7tx5gR5Cq0JBqBgvUNsUB6eTYZIsentnQMVdyH/vJ/\ u8gBnIaBHmtYpXKWBRPrF9YddPOLsYFs7uQTFyleDA320/\ 5eym0duAek9BsNsZt2stafc18msgj0FG2JY0+EbMw1gjY5mgjxbv1V4MOU6N/\ 82cnzojzSNOs3NjGX/B8ogW/5P0NFkdHJeTAtaVEww+RCQVw+\ JAZLFxBaxuyKShxfvoEfKzujYRb6FXWpA="}, CellTags->{ "CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484] }, Closed]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Author Notes", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Author Notes", Cell[ BoxData[ FrameBox[ Cell[ "This section, when used, will appear near the bottom of the \ published resource. Content displayed in this section can include background, \ possible improvements, additional information and/or implementation details \ that are otherwise beyond the scope of the function documentation.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoAuthorNotes"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Author Notes"}, DefaultNewCellStyle->"Text", CellTags->{"Author Notes", "TemplateCellGroup"}, CellID->681870591], Cell[TextData[{ "The function ", Cell[BoxData["CrossTabulate"], "InlineFormula", FontFamily->"Source Sans Pro"], " corresponds to R\[CloseCurlyQuote]s function ", Cell[BoxData[ StyleBox["xtabs", "TI"]], "InlineFormula", FontFamily->"Source Sans Pro"], "." }], "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}, CellChangeTimes->{ 3.780054145044435*^9, {3.780334208237328*^9, 3.780334225746141*^9}, { 3.7803366008840933`*^9, 3.7803366109180965`*^9}}, CellTags->"TabNext", CellID->934410186] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Submission Notes", Cell[BoxData[ PaneSelectorBox[{True-> TemplateBox[{"Submission Notes", Cell[ BoxData[ FrameBox[ Cell[ "Enter any additional information that you would like to communicate \ to the reviewer here. This section will not be included in the published \ resource.", "MoreInfoText"], Background -> GrayLevel[0.95], FrameMargins -> 20, FrameStyle -> GrayLevel[0.9], RoundingRadius -> 5, ImageSize -> { Scaled[0.65], Automatic}]], "MoreInfoText", Deletable -> True, CellTags -> {"SectionMoreInfoSubmissionNotes"}, CellMargins -> {{66, 66}, {15, 15}}]}, "MoreInfoOpenerButtonTemplate"]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ResourceCreateNotebook"}]], ImageSize->Automatic]]] }], "Section", Editable->False, Deletable->False, TaggingRules->{"TemplateGroupName" -> "Submission Notes"}, DefaultNewCellStyle->"Text", CellTags->{"Submission Notes", "TemplateCellGroup"}, CellID->916799765], Cell["Additional information for the reviewer.", "Text", CellEventActions->{Inherited, {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]], PassEventsDown -> False, PassEventsUp -> False}, CellTags->{"DefaultContent", "TabNext"}, CellID->604291542] }, Open ]] }, Open ]] }, WindowSize->Automatic, WindowMargins->Automatic, WindowTitle->"CrossTabulate | Definition Notebook", TaggingRules->{"CompatibilityTest" -> HoldComplete[ BinaryDeserialize[ BaseDecode[ "OEM6eJzVWVtT20YUrjEQBhxaMulMkyc98EAyadJpO9NL2iauDcQdIMCa9JW1dGQ0rHeV3RWg\ X9a/17MrydhGciTbTFNPJsja1XfOnut3LH9JPWqJQSgi7u3ehBKUCgT3a2rlJApA+/nLS2qp4+P/\ 9Sb38M/K7seIMrW5/QGkWT+KBj2Q0refnbdmB6EDOMGLRiuSErj+QFkE/\ hfq0e4VXlFtnhIaekJc4q7lg0Bp1ejSfj/g/dOIgSKNU1Aiki504xDIcptqimouv+\ cuFGq58icT7qXZlgButwTXcKOPqb7w60UnPwLwFNnJ5JFYaRi0WIBqn7fBD3gwqu757SOOUSp7LG+\ rWj6KGEPFXt5dTAWcQh9VBYma+kE/ktY0w+O+KavUKYRCBVrIOAFMcFQKVLf+\ q6m1PRqwSKJnaurhMXUZ6A5XmjJGvinS0F+\ dxdgzmbXRFWOeWSdaYjz8JQIjr35IQ3uGiLvmSX8lkUyeFBrXKkeVCeuNBIuELNDmNmFCt2qkdk6Wf\ v195MbS63WrPMavIs/KKv/\ cXy6wUp2AkbfeFtfcJoFSv5RFzS7eRxrdCJ5JqHX0NKMuNDGuFgi7YZKuDYzG4CHuxjvBPHQkBiZXf\ 5QFPpbBFQKeXyVlYV8CfpPqwRlXaTnIsUa7KjoNQ+DeGb+\ g3GPgtYAxNdUwi5IwxUb4tbKVXITFipcikK0uDPAAGoy4fSmicH5QzN1Gk5krLAdXGNBft3BTX8gA1\ LetC3Ave+IGb2/e3jbSSSNbs982UR6NmLb5zXWOpuTL7BaBJDdzXV26mg0doS674iz08Dqt+\ 8VeXgD4mIPreONBlgJr+0z0KDu/MC1t1KLqp7Ji90G/\ CzwPeFKIyqfrHuVu3LoQgQvtgDLRH1WskSomNXZJ7K9YlCm/\ zFOd4uqWXTU9icDHCPDU5FFqAeZlAk+\ wXQzPOy5gBCxrKStdGdnUnrNKVGl22UUWdCkNUd9XVYH3quRYSmUmpY5ZKLPnEVwP7Zlr4yRB1GFVl\ bcjBQfQp27c6XMhk+qU+VotG2/kJ9/rspJycCcSb1oazilmWo1dUqsH+\ KQtjHtV7dYHnZWxcYkLSyVMiQ3UHLAuUgXqPtQtzEak0JY1r5rdnbbJS6ufetDBmt3HSF3rcCss/\ oSR60OtCw6eApeue9mJ1LAz3IHt3Vp7KH5EZk3tVm6DlAseuJQdSxECWsvyuVl1HlE0f4hYSotho6m\ UcAPLvU9Us3Juh6m2JEb144GJobWmJSNdsRg4GyZkk1igQ9DUM/\ NBOoGRtVagkwHkSbLj1Sn4IE10O9nSbXVZjFdGhE6olUxPwxkqGUGXD9Dmd0bPL+zn+\ VucCeYZVqZMEhX4/fNClGqEvhrONAb/YyESDoGXtA/ERYdU4+1nhZhJt8uLg0TYzET+3kROZ/\ YlrVeGz88E9Zmx+OP5vVCB1t+HtFl4/k6hHpPEvjht/ydMfqZqgQDffbJeTVLn1tzOtQz+\ VSHMfVD2YqXHzDMzUX9RiD8fM6+KW5aK/1bOHv8tAZ9Lyc+Idv9ceA7iShpi/ZnMkHl49+\ uS7SqXbc+s6ox0uzPlN/bsx3HMtiicFDuddi8UdpH0ex7nlCTdtbHf2yfeAuUz8R/sZ+etcc9oqyP/\ 1LoXgXJ4qqpjqBiVytHC6YHj2i7iOb4UA4c6HK5BOmmHeeEogf8G4Pi4KcIocAY0NkjOtZCIpBy4CT\ F2wHvptIUTi8i5DtSFgdYydmikxQAPizZgseMKjrgaw8/RYwrhboqrgxC39hhk0t/cTg/\ 1dHpYy6aH8TlCbaLrk2YjJJVx4TBiHTj5bmz4CqLgfdhDgg6L1CGioG9x+\ xY6tG9AO9zDs2EcDuvRetMalxpasHaEJNB0BOvNVRIPeoKRp8nbn0PKEUyeJ9+Snkce5811pZ/+\ KouXDOV2vNqeXMp9D7QyIujZnSeKiMG4/\ WyabbVsUI30dbWyR5mC4Y6npzAQV7A7CHW8e0ORJGTUV01ufdzMGR2GbTwVmCj3d8A9cd0NNHoiRcl\ 98fkvn3IKDA=="]]], "CreationTimestamp" -> 3.869577696619055`16.340238560371244*^9, "DefinitionNotebookFramework" -> "DefinitionNotebookClient", "ResourceCreateNotebook" -> True, "ResourceType" -> "Function", "RuntimeConfiguration" -> { "LoadingMethod" -> "Paclet", "PacletName" -> "FunctionResource", "Contexts" -> { "FunctionResource`", "FunctionResource`DefinitionNotebook`"}, "DefaultContentMethod" -> "Legacy"}, "ToolsOpen" -> False, "UpdatedTimestamp" -> 3.869577696676849`16.340238560377728*^9, "VersionInformation" -> {"ResourceVersion" -> "1.0.0"}, "TemplateVersion" -> "1.6.4", "StatusMessage" -> "", "SubmissionReviewData" -> {"Review" -> False}}, CreateCellID->True, FrontEndVersion->"13.1 for Linux x86 (64-bit) (June 16, 2022)", StyleDefinitions->Notebook[{ Cell[ StyleData[StyleDefinitions -> "Default.nb"]], Cell[ StyleData[All, "Working"], DockedCells -> { Cell[ BoxData[ TemplateBox[{}, "MainGridTemplate"]], "DockedCell", CellMargins -> {{-10, -10}, {-8, -8}}, CellFrame -> 0, Background -> RGBColor[0.921569, 0.341176, 0.105882], CellTags -> {"MainDockedCell"}, CacheGraphics -> False], Cell[ BoxData[ TemplateBox[{}, "ToolsGridTemplate"]], "DockedCell", TaggingRules -> {"Tools" -> True}, CellTags -> {"ToolbarDockedCell"}, CellFrameMargins -> {{0, 0}, {2, 2}}, CellFrame -> {{0, 0}, {1, 0}}, CacheGraphics -> False, CellOpen -> Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ToolsOpen"}, True]]]}, PrivateNotebookOptions -> { "FileOutlineCache" -> False, "SafeFileOpen" -> "IgnoreCache"}, CellLabelAutoDelete -> False, CodeAssistOptions -> {"AutoDetectHyperlinks" -> False}, AutoQuoteCharacters -> {}], Cell["Hint Styles", "Section"], Cell[ StyleData["MoreInfoText", StyleDefinitions -> StyleData["Text"]], FontColor -> GrayLevel[0.25]], Cell[ StyleData["ErrorText", StyleDefinitions -> StyleData["Text"]], ShowCellBracket -> False, CellMargins -> {{66, Inherited}, {10, 10}}, CellElementSpacings -> {"CellMinHeight" -> 0, "ClosedCellHeight" -> 0}, FontWeight -> Bold, FontColor -> RGBColor[1, 0, 0]], Cell[ StyleData["WarningText", StyleDefinitions -> StyleData["Text"]], ShowCellBracket -> False, CellMargins -> {{66, 35}, {0, 0}}, FontSize -> 14, GridBoxOptions -> {BaseStyle -> {}}], Cell["Template Boxes", "Section"], Cell[ StyleData["MoreInfoOpenerIconTemplate"], TemplateBoxOptions -> { DisplayFunction -> (PaneSelectorBox[{False -> GraphicsBox[{ Thickness[0.09090909090909091], StyleBox[{ JoinedCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYC4vinF5RuVyo58OlumvteXcIBxj//Pfjx0tky Dh8v+SYJzFB0kGAJ49MtUnBYIKV/V4UNRis5GHKskYl6IuPwCaxO2eEcWJ+E QwLYHBUHfrC5InD+7CMKG4oy+OH81TJRKdb32eD6+w991YjpZ4CbD1L2s+6L Pcz+R1Ui69wfvrKHuQ/Gh7kfxvdLEoiw3CIM178BbA8f3PwJYJoDbn9JxsS3 NfZMcPcV2HJdX1zw1x7mfhgf5j8YH+Z/mH5Y+MDMh4UfzH5Y+MLchx7+ANUf raY= "], CurveClosed -> {1}]}, { JoinForm[{"Miter", 3.25}], Thickness[0.04581818181818182], RGBColor[0.627441, 0.627441, 0.627441, 1.]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGCQBGIQLTQ3t12zRcShJLdco9dU3mHepS6LtrvCcP4+Xv/m N77CDovcOdKu58g7FPjtSo+5KuTw57fmw+zb8g5K/ao+Z2KEHHRuqOoxqCo4 1OhH27UoCDnsSqhWX5aN4K+ZPvXO8oMI/txz6yeuFFeE67fRSpTaE6sIN79j 1cqy+5MV4fZf1fp0iemUItx9v7PEGkWeKjrA3A/jf+Fa9FHHQBTOX+1ud9n/ oChcv3mwk84kczG4+Yfi3FqvrBWD29+RcmLj1xdicPfB+DD3w/gw/8H0w/wP Mx8WPjD7YeEHcx8sfNHDHwBu/qSR "], CompressedData[" 1:eJxTTMoPSmViYGCQB2IQvf+bus9hGwmHDp1Dj7Lq+R1g/C8aMf2HvvI4TGr/ 8PXaHQEMPkz934jyRxrThRx4jt4OchAXgPMDH16pmH8JwZ97RmCl6XRBOP9D W/9jplQhOF+/1m7LFGNhOJ/l29N9k18i+AUfW5kZ2kXg/Ple3+bO/C4K5+fN DQ4+fUAMzt9xf9q57xnicH6N4AF++Q8IvqPzywC3cgk4PyFkivMkFkk4/4bL wedMMyQdDs1vE5FYJOBwYaHqp4u3EPzQT5dO7vwk5SCxtot3p4WYw73/Kfef X5RxYLv4XzxkhpjDona/Xv0OBH+hx9ZwiywJOB/mHxgf5l8Y30/526VcIyR+ 5Tb7vkQhON/3fNmadRME4fxHts2x9mcF4HxYfKDHLwCFIt67 "]}]}, { FaceForm[ RGBColor[0.627441, 0.627441, 0.627441, 1.]]}, StripOnInput -> False]}, ImageSize -> {11., 11.}, PlotRange -> {{0., 11.}, {0., 11.}}, AspectRatio -> Automatic], True -> GraphicsBox[{ Thickness[0.09090909090909091], StyleBox[{ JoinedCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYC4vinF5RuVyo58OlumvteXcIBxj//Pfjx0tky Dh8v+SYJzFB0kGAJ49MtUnBYIKV/V4UNRis5GHKskYl6IuPwCaxO2eEcWJ+E QwLYHBUHfrC5InD+7CMKG4oy+OH81TJRKdb32eD6+w991YjpZ4CbD1L2s+6L Pcz+R1Ui69wfvrKHuQ/Gh7kfxvdLEoiw3CIM178BbA8f3PwJYJoDbn9JxsS3 NfZMcPcV2HJdX1zw1x7mfhgf5j8YH+Z/mH5Y+MDMh4UfzH5Y+MLchx7+ANUf raY= "], CurveClosed -> {1}]}, { JoinForm[{"Miter", 3.25}], Thickness[0.04581818181818182], RGBColor[0.5, 0.5, 0.5, 1.]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGYC4vinF5RuVyo58OlumvteXcIBxj//Pfjx0tky Dh8v+SYJzFB0kGAJ49MtUnBYIKV/V4UNRis5GHKskYl6IuPwCaxO2eEcWJ+E QwLYHBUHfrC5InD+7CMKG4oy+OH81TJRKdb32eD6+w991YjpZ4CbD1L2s+6L Pcz+R1Ui69wfvrKHuQ/Gh7kfxvdLEoiw3CIM178BbA8f3PwJYJoDbn9JxsS3 NfZMcPcV2HJdX1zw1x7mfhgf5j8YH+Z/mH5Y+MDMh4UfzH5Y+MLchx7+ANUf raY= "]]}, { FaceForm[ RGBColor[0.5, 0.5, 0.5, 1.]]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGCQBGIQLTQ3t12zRcShJLdco9dU3mHepS6LtrvCcP4+Xv/m N77CDovcOdKu58g7FPjtSo+5KuTw57fmw+zb8g5K/ao+Z2KEHHRuqOoxqCo4 1OhH27UoCDnsSqhWX5aN4K+ZPvXO8oMI/txz6yeuFFeE67fRSpTaE6sIN79j 1cqy+5MV4fZf1fp0iemUItx9v7PEGkWeKjrA3A/jf+Fa9FHHQBTOX+1ud9n/ oChcv3mwk84kczG4+Yfi3FqvrBWD29+RcmLj1xdicPfB+DD3w/gw/8H0w/wP Mx8WPjD7YeEHcx8sfNHDHwBu/qSR "], CompressedData[" 1:eJxTTMoPSmViYGCQB2IQvf+bus9hGwmHDp1Dj7Lq+R1g/C8aMf2HvvI4TGr/ 8PXaHQEMPkz934jyRxrThRx4jt4OchAXgPMDH16pmH8JwZ97RmCl6XRBOP9D W/9jplQhOF+/1m7LFGNhOJ/l29N9k18i+AUfW5kZ2kXg/Ple3+bO/C4K5+fN DQ4+fUAMzt9xf9q57xnicH6N4AF++Q8IvqPzywC3cgk4PyFkivMkFkk4/4bL wedMMyQdDs1vE5FYJOBwYaHqp4u3EPzQT5dO7vwk5SCxtot3p4WYw73/Kfef X5RxYLv4XzxkhpjDona/Xv0OBH+hx9ZwiywJOB/mHxgf5l8Y30/526VcIyR+ 5Tb7vkQhON/3fNmadRME4fxHts2x9mcF4HxYfKDHLwCFIt67 "]}]}, { FaceForm[ RGBColor[0.999985, 0.999985, 0.999985, 1.]]}, StripOnInput -> False]}, ImageSize -> {11., 11.}, PlotRange -> {{0., 11.}, {0., 11.}}, AspectRatio -> Automatic]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0]& )}], Cell[ StyleData["MoreInfoOpenerButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (AdjustmentBox[ DynamicModuleBox[{ RSNB`mPosRegion$$, RSNB`attachPos$$, RSNB`offsetPos$$, RSNB`horizontalRegion$$, RSNB`verticalRegion$$, RSNB`chooseAttachLocation$$}, TagBox[ TemplateBox[{ TemplateBox[{}, "MoreInfoOpenerIconTemplate"], "\"Click for more information\""}, "PrettyTooltipTemplate"], EventHandlerTag[{"MouseDown" :> AttachCell[ ParentBox[ EvaluationBox[]], #2, RSNB`chooseAttachLocation$$[], RemovalConditions -> {"EvaluatorQuit", "MouseClickOutside"}], Method -> "Preemptive", PassEventsDown -> Automatic, PassEventsUp -> True}]], DynamicModuleValues :> {{DownValues[RSNB`mPosRegion$$] = {HoldPattern[ RSNB`mPosRegion$$[]] :> RSNB`mPosRegion$$[ Ceiling[MousePosition["WindowScaled"] 3]], HoldPattern[ RSNB`mPosRegion$$[ Pattern[RSNB`reg, { Blank[Integer], Blank[Integer]}]]] :> RSNB`reg, HoldPattern[ RSNB`mPosRegion$$[ BlankNullSequence[]]] :> None}}, { DownValues[RSNB`attachPos$$] = {HoldPattern[ RSNB`attachPos$$[{ Pattern[RSNB`h$, Blank[Integer]], Pattern[RSNB`v$, Blank[Integer]]}]] :> { RSNB`horizontalRegion$$[RSNB`h$], RSNB`verticalRegion$$[RSNB`v$]}}}, { DownValues[RSNB`offsetPos$$] = {HoldPattern[ RSNB`offsetPos$$[{ Pattern[RSNB`h$, Blank[Integer]], Pattern[RSNB`v$, Blank[Integer]]}]] :> { RSNB`horizontalRegion$$[4 - RSNB`h$], RSNB`verticalRegion$$[4 - RSNB`v$]}}}, { DownValues[RSNB`horizontalRegion$$] = {HoldPattern[ RSNB`horizontalRegion$$[1]] :> Left, HoldPattern[ RSNB`horizontalRegion$$[2]] :> Center, HoldPattern[ RSNB`horizontalRegion$$[3]] :> Right}}, { DownValues[RSNB`verticalRegion$$] = {HoldPattern[ RSNB`verticalRegion$$[1]] :> Top, HoldPattern[ RSNB`verticalRegion$$[2]] :> Top, HoldPattern[ RSNB`verticalRegion$$[3]] :> Top}}, { DownValues[RSNB`chooseAttachLocation$$] = {HoldPattern[ RSNB`chooseAttachLocation$$[]] :> With[{RSNB`p$ = RSNB`mPosRegion$$[]}, Apply[Sequence, { RSNB`offsetPos$$[RSNB`p$], {-30, 30}, RSNB`attachPos$$[RSNB`p$]}]]}}}], BoxBaselineShift -> -0.5, BoxMargins -> 0.2]& )}], Cell[ StyleData["InlineMoreInfoOpenerButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (AdjustmentBox[ DynamicModuleBox[{ RSNB`mPosRegion$$, RSNB`attachPos$$, RSNB`offsetPos$$, RSNB`horizontalRegion$$, RSNB`verticalRegion$$, RSNB`chooseAttachLocation$$}, TagBox[ TemplateBox[{ TemplateBox[{}, "MoreInfoOpenerIconTemplate"], #4}, "PrettyTooltipTemplate"], EventHandlerTag[{"MouseDown" :> AttachCell[ ParentBox[ EvaluationBox[]], #2, RSNB`chooseAttachLocation$$[], RemovalConditions -> {"EvaluatorQuit", "MouseClickOutside"}], Method -> "Preemptive", PassEventsDown -> Automatic, PassEventsUp -> True}]], DynamicModuleValues :> {{DownValues[RSNB`mPosRegion$$] = {HoldPattern[ RSNB`mPosRegion$$[]] :> RSNB`mPosRegion$$[ Ceiling[MousePosition["WindowScaled"] 3]], HoldPattern[ RSNB`mPosRegion$$[ Pattern[RSNB`reg, { Blank[Integer], Blank[Integer]}]]] :> RSNB`reg, HoldPattern[ RSNB`mPosRegion$$[ BlankNullSequence[]]] :> None}}, { DownValues[RSNB`attachPos$$] = {HoldPattern[ RSNB`attachPos$$[{ Pattern[RSNB`h$, Blank[Integer]], Pattern[RSNB`v$, Blank[Integer]]}]] :> { RSNB`horizontalRegion$$[RSNB`h$], RSNB`verticalRegion$$[RSNB`v$]}}}, { DownValues[RSNB`offsetPos$$] = {HoldPattern[ RSNB`offsetPos$$[{ Pattern[RSNB`h$, Blank[Integer]], Pattern[RSNB`v$, Blank[Integer]]}]] :> { RSNB`horizontalRegion$$[4 - RSNB`h$], RSNB`verticalRegion$$[4 - RSNB`v$]}}}, { DownValues[RSNB`horizontalRegion$$] = {HoldPattern[ RSNB`horizontalRegion$$[1]] :> Left, HoldPattern[ RSNB`horizontalRegion$$[2]] :> Center, HoldPattern[ RSNB`horizontalRegion$$[3]] :> Right}}, { DownValues[RSNB`verticalRegion$$] = {HoldPattern[ RSNB`verticalRegion$$[1]] :> Top, HoldPattern[ RSNB`verticalRegion$$[2]] :> Top, HoldPattern[ RSNB`verticalRegion$$[3]] :> Top}}, { DownValues[RSNB`chooseAttachLocation$$] = {HoldPattern[ RSNB`chooseAttachLocation$$[]] :> With[{RSNB`p$ = RSNB`mPosRegion$$[]}, Apply[Sequence, { RSNB`offsetPos$$[RSNB`p$], {-30, 30}, RSNB`attachPos$$[RSNB`p$]}]]}}}], BoxBaselineShift -> -0.5, BoxMargins -> 0.2]& )}], Cell[ StyleData["ClickToCopyTemplate"], TemplateBoxOptions -> { DisplayFunction -> (PaneSelectorBox[{False -> TagBox[ GridBox[{{#, ButtonBox[ GraphicsBox[{ GrayLevel[0.85], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, { 9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, {16.5, 4.5}, { 16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, {15.75, 17.25}, { 15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, { 8.25, 18.}}, {{9.75, 17.25}, {12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, { 14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{8.25, 12.}, { 14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], ButtonFunction :> Null, Appearance -> { "Default" -> None, "Hover" -> None, "Pressed" -> None}, Evaluator -> Automatic, Method -> "Preemptive"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], True -> DynamicModuleBox[{RSNB`clickTime$$ = 0., RSNB`timeout$$ = 3.}, TagBox[ GridBox[{{#, TagBox[ ButtonBox[ DynamicBox[ ToBoxes[ Refresh[ If[AbsoluteTime[] - RSNB`clickTime$$ > RSNB`timeout$$, RawBoxes[ TemplateBox[{ PaneSelectorBox[{False -> GraphicsBox[{ GrayLevel[0.65], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], True -> GraphicsBox[{ RGBColor[0.988235, 0.419608, 0.203922], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0], "\"Click to copy to the clipboard\""}, "PrettyTooltipTemplate"]], RawBoxes[ TemplateBox[{ GraphicsBox[{ RGBColor[0, NCache[2/3, 0.6666666666666666], 0], Thickness[ NCache[2/45, 0.044444444444444446`]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{10.5, 18.75}, {10.5, 18.}, {9., 18.}, {9., 15.75}, {13.5, 15.75}, {13.5, 18.}, {12., 18.}, {12., 18.75}}, {{6., 18.}, {6., 4.5}, { 16.5, 4.5}, {16.5, 18.}, {14.25, 18.}, {14.25, 17.25}, { 15.75, 17.25}, {15.75, 5.25}, {6.75, 5.25}, {6.75, 17.25}, {8.25, 17.25}, {8.25, 18.}}, {{9.75, 17.25}, { 12.75, 17.25}, {12.75, 16.5}, {9.75, 16.5}}}], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, {{{8.25, 14.25}, {14.25, 14.25}, {14.25, 13.5}, {8.25, 13.5}}, {{ 8.25, 12.}, {14.25, 12.}, {14.25, 11.25}, {8.25, 11.25}}, {{8.25, 9.75}, {14.25, 9.75}, {14.25, 9.}, {8.25, 9.}}, {{8.25, 7.5}, {14.25, 7.5}, {14.25, 6.75}, {8.25, 6.75}}}]}, ImageSize -> 12], "\"Copied\""}, "PrettyTooltipTemplate"]]], UpdateInterval -> 1, TrackedSymbols :> {RSNB`clickTime$$}], StandardForm], Evaluator -> "System"], ButtonFunction :> (RSNB`clickTime$$ = AbsoluteTime[]; CopyToClipboard[ BinaryDeserialize[ BaseDecode[#2], Defer]]), Appearance -> { "Default" -> None, "Hover" -> None, "Pressed" -> None}, Method -> "Queued", Evaluator -> "System"], MouseAppearanceTag["LinkHand"]]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], DynamicModuleValues :> {}]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0]& )}], Cell[ StyleData["PrettyTooltipTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TagBox[ TooltipBox[#, FrameBox[ StyleBox[#2, "Text", FontColor -> RGBColor[0.537255, 0.537255, 0.537255], FontSize -> 12, FontWeight -> "Plain", FontTracking -> "Plain", StripOnInput -> False], Background -> RGBColor[0.960784, 0.960784, 0.960784], FrameStyle -> RGBColor[0.898039, 0.898039, 0.898039], FrameMargins -> 8, StripOnInput -> False], TooltipDelay -> 0.1, TooltipStyle -> {Background -> None, CellFrame -> 0}], Annotation[#, Framed[ Style[ RSNB`$$tooltip, "Text", FontColor -> RGBColor[0.537255, 0.537255, 0.537255], FontSize -> 12, FontWeight -> "Plain", FontTracking -> "Plain"], Background -> RGBColor[0.960784, 0.960784, 0.960784], FrameStyle -> RGBColor[0.898039, 0.898039, 0.898039], FrameMargins -> 8], "Tooltip"]& ]& )}], Cell[ StyleData["ToolsGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ TagBox[ GridBox[{{ FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Template Input\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Format selection automatically using appropriate \ documentation styles\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 2790153672590285854; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Template Input"; DefinitionNotebookClient`TemplateInput[]]]], DefinitionNotebookClient`ButtonCodeID[ 2790153672590285854]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Literal Input\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Format selection as literal Wolfram Language code\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 4138174468017918531; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Literal Input"; DefinitionNotebookClient`LiteralInput[]]]], DefinitionNotebookClient`ButtonCodeID[ 4138174468017918531]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Insert Delimiter\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Insert example delimiter\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 1887802176716758884; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Insert Delimiter"; DefinitionNotebookClient`DelimiterInsert[]]]], DefinitionNotebookClient`ButtonCodeID[ 1887802176716758884]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ "\"Subscripted Variable\"", "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Insert subscripted variable placeholder\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3787878858871814623; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Subscripted Variable"; DefinitionNotebookClient`SubscriptInsert[]]]], DefinitionNotebookClient`ButtonCodeID[ 3787878858871814623]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], ActionMenuBox[ FrameBox[ ButtonBox[ TemplateBox[{ StyleBox[ TemplateBox[{ "\"Tables\"", "\"\[ThinSpace]\[ThinSpace]\[ThinSpace]\ \[FilledDownTriangle]\""}, "RowDefault"], "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], "\"Table functions\""}, "PrettyTooltipTemplate"], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3216557251994556740; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[Null]]], DefinitionNotebookClient`ButtonCodeID[ 3216557251994556740]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], { "\"Insert table with two columns\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 5800166344906378520; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Insert table with two columns"; DefinitionNotebookClient`TableInsert[2]]]], DefinitionNotebookClient`ButtonCodeID[ 5800166344906378520]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Insert table with three columns\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 533841403879783297; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Insert table with three columns"; DefinitionNotebookClient`TableInsert[3]]]], DefinitionNotebookClient`ButtonCodeID[ 533841403879783297]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Add a row to the selected table\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 4413051590217973467; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Add a row to the selected table"; DefinitionNotebookClient`TableRowInsert[]]]], DefinitionNotebookClient`ButtonCodeID[ 4413051590217973467]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Sort the selected table\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 9150037060110806081; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Sort the selected table"; DefinitionNotebookClient`TableSort[]]]], DefinitionNotebookClient`ButtonCodeID[ 9150037060110806081]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Merge selected tables\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 2347719643166780208; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Tables"; DefinitionNotebookClient`$ClickedAction = "Merge selected tables"; DefinitionNotebookClient`TableMerge[]]]], DefinitionNotebookClient`ButtonCodeID[ 2347719643166780208]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]]}, Appearance -> None, Method -> "Queued"], ActionMenuBox[ FrameBox[ ButtonBox[ StyleBox[ TemplateBox[{ "\"Cells\"", "\"\[ThinSpace]\[ThinSpace]\[ThinSpace]\[FilledDownTriangle]\ \""}, "RowDefault"], "Text", FontFamily -> "Source Sans Pro", FontSize -> 11, StripOnInput -> False], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3216557251994556740; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[Null]]], DefinitionNotebookClient`ButtonCodeID[ 3216557251994556740]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], FrameMargins -> {{4, 4}, {0, 0}}, BaseStyle -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], FEPrivate`If[ CurrentValue["MouseOver"], { FontColor -> GrayLevel[1], TaggingRules -> {"ButtonHovering" -> True}}, { FontColor -> RGBColor[0.8274509803921568, 0.20784313725490197`, 0.], TaggingRules -> {"ButtonHovering" -> False}}], { FontColor -> RGBColor[0.9568627450980391, 0.8019607843137255, 0.75], TaggingRules -> {"ButtonHovering" -> False}}], Evaluator -> "System"], Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GPL5w6v66uRAEZJNqyN3J1VfdxC6bMiAjoAhQ nBhDHh3dfT3JGqLrhpfUgwJvCAKyIYJAWaAaPIYAZSEqbwapfjq8GS38gSJA cYgCZHPQDIG44XaU3r9fP7HGI1AcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+yIZCQ xPQFJgCqgYQzRCMkNUJiExKSBE2AAEg4Q+KdAQwoN4QqLvlPvTChVuxQJZ1Q K8VSJe/AAYW5GBlQWJ6QBKhoCH5ATGkPANqBKWU= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6G3Dt/+uKq+RAEZJNqyIn+urW20su12ZARUAQo Towhtw7v2RZtD9G1wYjrgK0wBAHZEEGgLFANHkOAshCVW0x5H0eo/8k2QUZA EaA4RAGyOWiGQNyw3ZzvV6YxmgkQBBQHykLcg9UQoH8hbsBlAtwciHvg4YNs CCQkMX2BiYBqIOEM0QhJjZDYhIQkQRMgCBLOkHhnAAPKDaGKS6gYJtSKHaqk E2qlWKrkHTigMBcjAwrLE5IAFQ3BD4gp7QGdXXDI "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4CllgA6GvHjx4i0MANmkGvLx48c/f/6g+RooAhQnxpBX r179+PEDIv771dNPR7ZAEJANEQTKAtXgMQQoCxH5+ejWg0Kfy6YMyAgoAhSH KEA2B80QiBu+3754xYoNzQQIAooDZSHuwWoI0L8QN+AyAW4OxD3w8EE2BBKS mL7AREA1kHCGaISkRkhsQkKSoAkQBAlnSLwzgAHlhlDFJVQME2rFDlXSCbVS LFXyDhxQmIuRAYXlCUmAiobgB8SU9gD80e8B "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> GrayLevel[0.9], Method -> "Queued", ImageSize -> {All, 20}, Evaluator -> Automatic], FrameStyle -> Directive[ GrayLevel[0.9], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False], { "\"Insert comment for reviewer\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 2572781756330727330; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Cells"; DefinitionNotebookClient`$ClickedAction = "Insert comment for reviewer"; DefinitionNotebookClient`CommentInsert[]]]], DefinitionNotebookClient`ButtonCodeID[ 2572781756330727330]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Mark/unmark selected cells as comments\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3646530685697756512; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Cells"; DefinitionNotebookClient`$ClickedAction = "Mark/unmark selected cells as comments"; DefinitionNotebookClient`CommentToggle[]]]], DefinitionNotebookClient`ButtonCodeID[ 3646530685697756512]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Mark/unmark selected cells as excluded\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 1866935765212102190; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Cells"; DefinitionNotebookClient`$ClickedAction = "Mark/unmark selected cells as excluded"; DefinitionNotebookClient`ExclusionToggle[]]]], DefinitionNotebookClient`ButtonCodeID[ 1866935765212102190]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]]}, Appearance -> None, Method -> "Queued"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxBackground -> {"Columns" -> {{None}}, "Rows" -> { GrayLevel[0.9]}}, GridBoxFrame -> { "Columns" -> False, "RowsIndexed" -> {1 -> GrayLevel[0.9]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {5, {0.5}, 5}, "Rows" -> {{Automatic}}}, FrameStyle -> GrayLevel[0.75]], "Grid"], ButtonBoxOptions -> {Enabled -> Dynamic[ Not[ TrueQ[DefinitionNotebookClient`$ButtonsDisabled]], TrackedSymbols :> {DefinitionNotebookClient`$ButtonsDisabled}]}, StripOnInput -> False]& )}], Cell[ StyleData["MainGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.022222222222222223`], { FaceForm[{ RGBColor[0.87451, 0.278431, 0.03137260000000001], Opacity[1.]}], FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{45., 22.5}, {45., 10.073999999999998`}, {34.926, 0.}, {22.5, 0.}, {10.074, 0.}, {0., 10.073999999999998`}, {0., 22.5}, {0., 34.926}, {10.074, 45.}, {22.5, 45.}, { 34.926, 45.}, {45., 34.926}, {45., 22.5}}}]}, { FaceForm[{ RGBColor[1., 1., 1.], Opacity[1.]}], FilledCurveBox[{{{0, 2, 0}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGAwAWIQLcESxqe7SdlhqnN3zvPblg4w/omyffOl/K0cEp9e ULq9U9lhT8lkCZZrVg6VL9UMOd4oO1SLrHN/GGXtcKUCKOCh4sDDpN0udtPa 4fnvlR8v8ao6ZIE12ELMrVZzmAIymNfOAWj43PfpGg45YIV2Dguk9O+qsGlB 9M+0h9gjpgOxh8fBYePc98uPees5MICAggNE/TF9B6Bl574rO0DcMcsAwmd2 cNCM6T/0VcPQAeQsjh6oeWWGEPt97R3UDTnWyMwyhKh7Yefw5S/QB22GEHe1 2zlIg5yTaAh3by7InUKGDmBnLrR1cOkGudzAYZHrts9/Q2wdHi+dfUShwMBh Q1HGxLcytg5BO+RaXwsaQN1r6/BdA2jRVn1oeNk6aIEcWq4HcccvWwfTuF2e PEy6UPPtHIC+CH68VBvOP70QaNFeLTg/T6j5wKlELYdPl3yTBCLsIOGkowVx 71tbhycg93zQdAjonZ4ndNgGzgern2ENVw90TZVInhUkfqy1IO65ZQl3L4wP iW99B/NOx4SnEyzh4Q+W32XhcBUc0PoQd7dawM1D568H2cdnCOd/A9nzVc/h I9hdWg4ZoIg6oueQD/Kfoh40nSD4fkDfWpboQOw7oYDBh6mHxIcy3DxYek4A peOfCD7MPTA+zL0yUSnW9/sV4Hxw/DgpQOL7igUkfi8qwsMHAHSDTZ8= "], {{19.051000000000002`, 14.242}, {19.051000000000002`, 27.594}, {23.828, 27.594}, {23.828, 26.543}, {21.426, 26.308999999999997`}, {21.375, 26.258000000000003`}, { 21.375, 24.219}, {21.375, 17.535000000000004`}, {21.375, 15.602}, {21.426, 15.547}, {23.828, 15.315999999999999`}, {23.828, 14.242}}, {{24.578, 18.75}, {24.578, 23.078000000000003`}, {24.578, 23.539}, { 24.953, 23.914}, {25.418, 23.91}, {29.746, 23.91}, { 30.203, 23.91}, {30.578, 23.539}, {30.578, 23.078000000000003`}, {30.578, 18.75}, { 30.581999999999997`, 18.288999999999998`}, {30.207, 17.91}, {29.746, 17.91}, {25.418, 17.91}, {24.953, 17.906}, {24.574, 18.285}, {24.578, 18.75}}, {{31.328, 14.242}, {31.328, 15.315999999999999`}, {33.684, 15.539000000000001`}, {33.789, 15.602}, {33.789, 17.641}, {33.789, 24.188}, {33.789, 26.227}, {33.684, 26.281}, {31.328, 26.512000000000004`}, {31.328, 27.586}, {36.113, 27.586}, {36.113, 14.234000000000002`}}}]}}, { ImageSize -> {Automatic, 32}, ImagePadding -> {{5, 0}, {0, 0}}, BaselinePosition -> Scaled[0.25], AspectRatio -> Automatic, Background -> RGBColor[0.988235, 0.419608, 0.203922], ImageSize -> {45., 45.}, PlotRange -> {{0., 45.}, {0., 45.}}}], StyleBox[ TagBox[ GridBox[{{ StyleBox[ "\"Function Resource\"", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", StripOnInput -> False], StyleBox[ "\"DEFINITION NOTEBOOK\"", FontFamily -> "Source Sans Pro", FontTracking -> "SemiCondensed", FontVariations -> {"CapsType" -> "AllSmallCaps"}, StripOnInput -> False]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "ColumnsIndexed" -> {2 -> RGBColor[1., 1., 1.]}, "Rows" -> {{None}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], FontSize -> 24, FontColor -> RGBColor[1., 1., 1.], StripOnInput -> False]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", "\[SpanFromLeft]", TemplateBox[{ StyleBox[ TemplateBox[{ "\"Function Repository\"", "\" \[RightGuillemet] \""}, "RowDefault"], "Text", FontColor -> RGBColor[1., 1., 1.], StripOnInput -> False], "https://resources.wolframcloud.com/FunctionRepository"}, "HyperlinkURL"]}, { TemplateBox[{ TemplateBox[{ "\"Open Sample\"", "\"View a completed sample definition notebook\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 4393071033038384034; DefinitionNotebookClient`$ClickedButton = "Open Sample"; DefinitionNotebookClient`ViewExampleNotebook[ ButtonNotebook[]], DefinitionNotebookClient`ButtonCodeID[4393071033038384034]]& , "\"View a completed sample definition notebook\"", False}, "OrangeButtonTemplate"], TemplateBox[{ TemplateBox[{ "\"Style Guidelines\"", "\"View general guidelines for authoring resource \ functions\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 5906117565281445171; DefinitionNotebookClient`$ClickedButton = "Style Guidelines"; DefinitionNotebookClient`ViewStyleGuidelines[ ButtonNotebook[]], DefinitionNotebookClient`ButtonCodeID[5906117565281445171]]& , "\"View general guidelines for authoring resource functions\"", False}, "OrangeButtonTemplate"], TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{"\"Tools\"", PaneSelectorBox[{False -> GraphicsBox[{ RGBColor[1., 1., 1.], AbsoluteThickness[1.], LineBox[{{0, 0}, {0, 10}, {10, 10}, {10, 0}, {0, 0}}], LineBox[{{5, 2.5}, {5, 7.5}}], LineBox[{{2.5, 5}, {7.5, 5}}]}, ImageSize -> 9, PlotRangePadding -> 1.5], True -> GraphicsBox[{ RGBColor[1., 1., 1.], AbsoluteThickness[1.], LineBox[{{0, 0}, {0, 10}, {10, 10}, {10, 0}, {0, 0}}], LineBox[{{2.5, 5}, {7.5, 5}}]}, ImageSize -> 9, PlotRangePadding -> 1.5]}, Dynamic[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "ToolsOpen"}, True]], BaselinePosition -> Scaled[0]]}}, GridBoxAlignment -> { "Columns" -> {{Automatic}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.35}}}], "Grid"], "\"Toggle documentation toolbar\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 5074018684552945401; DefinitionNotebookClient`$ClickedButton = "Tools"; DefinitionNotebookClient`ToggleToolbar[ ButtonNotebook[]], DefinitionNotebookClient`ButtonCodeID[5074018684552945401]]& , "\"Toggle documentation toolbar\"", False}, "OrangeButtonTemplate"], TagBox[ GridBox[{{"\"\"", "\"\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxDividers -> { "ColumnsIndexed" -> {2 -> True}, "Rows" -> {{False}}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{2}}}, GridBoxSpacings -> {"Columns" -> {{0.5}}}, FrameStyle -> RGBColor[0.994118, 0.709804, 0.601961]], "Grid"], TemplateBox[{ TemplateBox[{ "\"Check\"", "\"Check notebook for potential errors\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 7891204313296928191; DefinitionNotebookClient`$ClickedButton = "Check"; DefinitionNotebookClient`CheckDefinitionNotebook[ ButtonNotebook[]], DefinitionNotebookClient`ButtonCodeID[7891204313296928191]]& , "\"Check notebook for potential errors\"", False}, "OrangeButtonTemplate"], TemplateBox[{ TemplateBox[{"\"Preview\"", "\"Generate a preview notebook\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 4299709568580201021; DefinitionNotebookClient`$ClickedButton = "Preview"; DefinitionNotebookClient`PreviewResource[ ButtonNotebook[], "Notebook"], DefinitionNotebookClient`ButtonCodeID[4299709568580201021]]& , "\"Generate a preview notebook\"", True}, "OrangeButtonTemplate"], ActionMenuBox[ TemplateBox[{ TemplateBox[{"\"Deploy\"", TemplateBox[{5}, "Spacer1"], "\"\[FilledDownTriangle]\""}, "RowDefault"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 1898445052439169298; Null, DefinitionNotebookClient`ButtonCodeID[1898445052439169298]]& , "\"\"", True}, "OrangeButtonTemplate"], { "\"Locally on this computer\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$SuppressDynamicEvents = True, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 8714502586816766511; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Deploy"; DefinitionNotebookClient`$ClickedAction = "Locally on this computer"; DefinitionNotebookClient`DisplayStripe[ ButtonNotebook[], DefinitionNotebookClient`DeployResource[ ButtonNotebook[], "Local"]]]]], DefinitionNotebookClient`ButtonCodeID[ 8714502586816766511]], CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"For my cloud account\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$SuppressDynamicEvents = True, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 1389539917011878958; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Deploy"; DefinitionNotebookClient`$ClickedAction = "For my cloud account"; DefinitionNotebookClient`DisplayStripe[ ButtonNotebook[], DefinitionNotebookClient`DeployResource[ ButtonNotebook[], "CloudPrivate"]]]]], DefinitionNotebookClient`ButtonCodeID[ 1389539917011878958]], CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"Publicly in the cloud\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$SuppressDynamicEvents = True, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 5593410685219912767; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Deploy"; DefinitionNotebookClient`$ClickedAction = "Publicly in the cloud"; DefinitionNotebookClient`DisplayStripe[ ButtonNotebook[], DefinitionNotebookClient`DeployResource[ ButtonNotebook[], "CloudPublic"]]]]], DefinitionNotebookClient`ButtonCodeID[ 5593410685219912767]], CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]], "\"In this session only (without documentation)\"" :> With[{RSNB`nb$ = InputNotebook[], RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$\ AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$SuppressDynamicEvents = True, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 8586347731213964380; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ DefinitionNotebookClient`$ClickedButton = "Deploy"; DefinitionNotebookClient`$ClickedAction = "In this session only (without documentation)"; DefinitionNotebookClient`DisplayStripe[ ButtonNotebook[], DefinitionNotebookClient`DeployResource[ ButtonNotebook[], "KernelSession"]]]]], DefinitionNotebookClient`ButtonCodeID[ 8586347731213964380]], CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]]}, Appearance -> None, Method -> "Queued"], ItemBox[ StyleBox[ DynamicBox[ ToBoxes[ CurrentValue[ EvaluationNotebook[], {TaggingRules, "StatusMessage"}, ""], StandardForm], Initialization :> (CurrentValue[ EvaluationNotebook[], {TaggingRules, "StatusMessage"}] = "")], "Text", GrayLevel[1], StripOnInput -> False], ItemSize -> Fit, StripOnInput -> False], DynamicBox[ ToBoxes[ If[ CurrentValue[ EvaluationNotebook[], { TaggingRules, "SubmissionReviewData", "Review"}, False], RawBoxes[ TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.06349], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBWIWIGZigIEX9mCqQd8Bwv+Bnc/A54CiHs5HV6/ngJUP p2HmwdTp4FCHTvOhqYfZrw2lhdDk0fno6tHcD1PPwOSAnY+uns8BAE8cGz4= "]]}, { FaceForm[ RGBColor[1., 1., 1.]]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgB2IWIGZigAEJBwjNB6EblHHwX9ijqofxoeoYhKC0Bg4+ Hw4apk4Uap8aDr4QDhqqDu4uVRx8URw0TJ001D5lHHwJHDRUHYMclFbCwZfG QUPVNSjgp+HmIWgAG/wcEg== "]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJx10EEKgCAQhWGpFtEyEAYGggQj6RKeoSMErbuCR0/IWfTgCcPwy7fR9XrO u3fOTXWGOp2zM+ZvH2170nv+e2sFH0ijt45/XxJp9NgRPHYAb63kHhu9tf2H eU8aPfbS9kxawAvxnrSCx3c3XzbS6JX4RFrAS34B53ckaw== "]]}, { FaceForm[ RGBColor[1., 1., 1.]]}, StripOnInput -> False]}, ImageSize -> 15, PlotRange -> {{0., 15.75}, {0., 16.5}}, AspectRatio -> 1.15], "\"Submit Update\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{0}}, "ColumnsIndexed" -> {2 -> 0.5}, "Rows" -> {{0}}}], "Grid"], "\"Submit changes to update your resource submission\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3196298050911436087; DefinitionNotebookClient`$ClickedButton = "SubmitUpdate"; With[{RSNB`nb = ButtonNotebook[]}, DefinitionNotebookClient`DisplayStripe[RSNB`nb, DefinitionNotebookClient`SubmitRepositoryUpdate[RSNB`nb], "ShowProgress" -> True]], DefinitionNotebookClient`ButtonCodeID[ 3196298050911436087]]& , "\"Submit changes to update your resource submission\"", True}, "OrangeButtonTemplate"]], RawBoxes[ TemplateBox[{ TemplateBox[{ TagBox[ GridBox[{{ GraphicsBox[{ Thickness[0.06349], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBWIWIGZigIEX9mCqQd8Bwv+Bnc/A54CiHs5HV6/ngJUP p2HmwdTp4FCHTvOhqYfZrw2lhdDk0fno6tHcD1PPwOSAnY+uns8BAE8cGz4= "]]}, { FaceForm[ RGBColor[1., 1., 1.]]}, StripOnInput -> False], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgB2IWIGZigAEJBwjNB6EblHHwX9ijqofxoeoYhKC0Bg4+ Hw4apk4Uap8aDr4QDhqqDu4uVRx8URw0TJ001D5lHHwJHDRUHYMclFbCwZfG QUPVNSjgp+HmIWgAG/wcEg== "]], FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}}}, CompressedData[" 1:eJx10EEKgCAQhWGpFtEyEAYGggQj6RKeoSMErbuCR0/IWfTgCcPwy7fR9XrO u3fOTXWGOp2zM+ZvH2170nv+e2sFH0ijt45/XxJp9NgRPHYAb63kHhu9tf2H eU8aPfbS9kxawAvxnrSCx3c3XzbS6JX4RFrAS34B53ckaw== "]]}, { FaceForm[ RGBColor[1., 1., 1.]]}, StripOnInput -> False]}, ImageSize -> 15, PlotRange -> {{0., 15.75}, {0., 16.5}}, AspectRatio -> 1.15], "\"Submit to Repository\""}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {{0}}, "ColumnsIndexed" -> {2 -> 0.5}, "Rows" -> {{0}}}], "Grid"], "\"Submit your function to the Wolfram Function \ Repository\""}, "PrettyTooltipTemplate"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3704832848557640569; DefinitionNotebookClient`$ClickedButton = "Submit"; With[{RSNB`nb = ButtonNotebook[]}, DefinitionNotebookClient`DisplayStripe[RSNB`nb, DefinitionNotebookClient`SubmitRepository[RSNB`nb], "ShowProgress" -> True]], DefinitionNotebookClient`ButtonCodeID[ 3704832848557640569]]& , "\"Submit your function to the Wolfram Function \ Repository\"", True}, "OrangeButtonTemplate"]]], StandardForm], Evaluator -> "System", SingleEvaluation -> True]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {-1 -> Right}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxBackground -> {"Columns" -> {{None}}, "Rows" -> { RGBColor[0.988235, 0.419608, 0.203922], RGBColor[0.921569, 0.341176, 0.105882]}}, GridBoxFrame -> { "Columns" -> False, "RowsIndexed" -> { 1 -> RGBColor[0.988235, 0.419608, 0.203922], 2 -> RGBColor[0.921569, 0.341176, 0.105882]}}, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> { "Columns" -> {5, {0.9}, 5}, "RowsIndexed" -> {1 -> 1.1, 2 -> 1.3, 3 -> 0.25}}, FrameStyle -> RGBColor[0.988235, 0.419608, 0.203922]], "Grid"], ButtonBoxOptions -> {Enabled -> Dynamic[ Not[ TrueQ[DefinitionNotebookClient`$ButtonsDisabled]], TrackedSymbols :> {DefinitionNotebookClient`$ButtonsDisabled}]}, StripOnInput -> False]& )}], Cell[ StyleData["ReviewerCommentLabelTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TagBox[ GridBox[{{#, TemplateBox[{ GraphicsBox[{ Thickness[0.022222222222222223`], { FaceForm[{ RGBColor[0.87451, 0.278431, 0.03137260000000001], Opacity[1.]}], FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{45., 22.5}, {45., 10.073999999999998`}, {34.926, 0.}, {22.5, 0.}, {10.074, 0.}, {0., 10.073999999999998`}, { 0., 22.5}, {0., 34.926}, {10.074, 45.}, {22.5, 45.}, {34.926, 45.}, {45., 34.926}, {45., 22.5}}}]}, { FaceForm[{ RGBColor[1., 1., 1.], Opacity[1.]}], FilledCurveBox[{{{0, 2, 0}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, { 1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, { 1, 3, 3}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}}, {{0, 2, 0}, {1, 3, 3}, {0, 1, 0}, {1, 3, 3}, {0, 1, 0}, {0, 1, 0}, { 0, 1, 0}}}, {CompressedData[" 1:eJxTTMoPSmViYGAwAWIQLcESxqe7SdlhqnN3zvPblg4w/omyffOl/K0cEp9e ULq9U9lhT8lkCZZrVg6VL9UMOd4oO1SLrHN/GGXtcKUCKOCh4sDDpN0udtPa 4fnvlR8v8ao6ZIE12ELMrVZzmAIymNfOAWj43PfpGg45YIV2Dguk9O+qsGlB 9M+0h9gjpgOxh8fBYePc98uPees5MICAggNE/TF9B6Bl574rO0DcMcsAwmd2 cNCM6T/0VcPQAeQsjh6oeWWGEPt97R3UDTnWyMwyhKh7Yefw5S/QB22GEHe1 2zlIg5yTaAh3by7InUKGDmBnLrR1cOkGudzAYZHrts9/Q2wdHi+dfUShwMBh Q1HGxLcytg5BO+RaXwsaQN1r6/BdA2jRVn1oeNk6aIEcWq4HcccvWwfTuF2e PEy6UPPtHIC+CH68VBvOP70QaNFeLTg/T6j5wKlELYdPl3yTBCLsIOGkowVx 71tbhycg93zQdAjonZ4ndNgGzgern2ENVw90TZVInhUkfqy1IO65ZQl3L4wP iW99B/NOx4SnEyzh4Q+W32XhcBUc0PoQd7dawM1D568H2cdnCOd/A9nzVc/h I9hdWg4ZoIg6oueQD/Kfoh40nSD4fkDfWpboQOw7oYDBh6mHxIcy3DxYek4A peOfCD7MPTA+zL0yUSnW9/sV4Hxw/DgpQOL7igUkfi8qwsMHAHSDTZ8= "], {{19.051000000000002`, 14.242}, {19.051000000000002`, 27.594}, {23.828, 27.594}, {23.828, 26.543}, {21.426, 26.308999999999997`}, {21.375, 26.258000000000003`}, { 21.375, 24.219}, {21.375, 17.535000000000004`}, {21.375, 15.602}, {21.426, 15.547}, {23.828, 15.315999999999999`}, { 23.828, 14.242}}, {{24.578, 18.75}, {24.578, 23.078000000000003`}, {24.578, 23.539}, {24.953, 23.914}, { 25.418, 23.91}, {29.746, 23.91}, {30.203, 23.91}, {30.578, 23.539}, {30.578, 23.078000000000003`}, {30.578, 18.75}, { 30.581999999999997`, 18.288999999999998`}, {30.207, 17.91}, {29.746, 17.91}, {25.418, 17.91}, {24.953, 17.906}, {24.574, 18.285}, {24.578, 18.75}}, {{31.328, 14.242}, {31.328, 15.315999999999999`}, {33.684, 15.539000000000001`}, {33.789, 15.602}, {33.789, 17.641}, { 33.789, 24.188}, {33.789, 26.227}, {33.684, 26.281}, { 31.328, 26.512000000000004`}, {31.328, 27.586}, {36.113, 27.586}, {36.113, 14.234000000000002`}}}]}}, { ImageSize -> 12, AspectRatio -> Automatic, Background -> None, ImageSize -> {45., 45.}, PlotRange -> {{0., 45.}, {0., 45.}}}], "Wolfram Function Repository Reviewer"}, "PrettyTooltipTemplate"]}}, GridBoxAlignment -> { "Columns" -> {{Automatic}}, "Rows" -> {{Center}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.25}}}], "Grid"]& )}], Cell[ StyleData["CommentCellLabelTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ TagBox[ GridBox[{{ StyleBox[#, FontSize -> 11]}, { StyleBox[ DynamicBox[ ToBoxes[ DateString[ TimeZoneConvert[ DateObject[#2, TimeZone -> 0]], { "Month", "/", "Day", "/", "Year", " ", "Hour24", ":", "Minute"}], StandardForm], SingleEvaluation -> True], FontSize -> 9]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{Automatic}}, "Rows" -> {{0}}}], "Grid"], "CommentLabel", ShowStringCharacters -> False]& )}], Cell[ StyleData["OrangeButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (FrameBox[ ButtonBox[ StyleBox[#, "Text", FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontTracking -> "Condensed", FontSize -> 13, FontColor -> Dynamic[ FEPrivate`If[ CurrentValue[Enabled], GrayLevel[1], RGBColor[0.9568627450980391, 0.8019607843137255, 0.75]], Evaluator -> "System"], StripOnInput -> False], ButtonFunction :> With[{RSNB`nb$ = ButtonNotebook[]}, If[#4, CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ProgressIndicator[Appearance -> "Necklace"]]; With[{RSNB`$cp$ = $ContextPath}, Quiet[ Block[{$ContextPath = RSNB`$cp$, ResourceSystemClient`$AsyncronousResourceInformationUpdates = False, DefinitionNotebookClient`$ButtonCodeID = None}, Internal`WithLocalSettings[ DefinitionNotebookClient`$ButtonsDisabled = True; Once[ ReleaseHold[ CurrentValue[ RSNB`nb$, {TaggingRules, "CompatibilityTest"}]], "KernelSession"]; Needs["DefinitionNotebookClient`"], Annotation[ DefinitionNotebookClient`$ButtonCodeID = 3145484069433207908; DefinitionNotebookClient`CheckForUpdates[RSNB`nb$, ReleaseHold[ DefinitionNotebookClient`$ButtonCode = HoldForm[ #2[]]]], DefinitionNotebookClient`ButtonCodeID[3145484069433207908]], DefinitionNotebookClient`$ButtonsDisabled = False; Null]; Null]]]; CurrentValue[RSNB`nb$, {TaggingRules, "StatusMessage"}] = ""; Null], FrameMargins -> {{5, 5}, {0, 0}}, Appearance -> {"Default" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4HW4NCWIDoa8CJZ47CsMQUA2qYY8cOe/Zsl82ZQBGQFF gOLEGPI8UOymHTtE1xUkE+BsoCxQDR5DgLJotuNCyOagGQJ3A0EEVInVEKB/ iTQBguDhg2wIZkjiR0D1EI2Q1AiJTbSQxI8gKiHxzgAGlBtCFZdQMUyoFTtU SSfUSrFUyTvUysVULE9IQlQ0BD8gprQHAOYEDp4= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Hover" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4HW4NCWIDoY8DpK86ikKQUA2qYacdhZaZ8CxXJsNGQFF gOLEGHLfX3yHOTeadmQElAWqwWMIUBaPdmSEbA6aIRA3rMCrfQXMPVgNAfqX SGdAEDx8kA3BDEn8CKgeohGSGiGxSZIJEASJdwYwoNwQqriEimFCrdihSjqh VoqlSt6hVi6mYnlCEqKiIfgBMaU9AAiH5q8= "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True], "Pressed" -> Image[CompressedData[" 1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz UFAcikHs/4QAMWqA4HW4NCWIDoa8zTb72JMMQUA2qYZ8Wdr69/1LNF8DRYDi xBjyvsz115UjEPFvL589PbgNgoBsiCBQFqgGjyFAWYjIpwe3D2YFLNdmQ0ZA EaA4RAGyOWiGQNzw/ubllQY8aCZAEFAcKAtxD1ZDgP6FuAGXCXBzIO6Bhw+y IZCQxPQFJgKqgYQzRCMkNUJiExKSBE2AIEg4Q+KdAQwoN4QqLqFimFArdqiS TqiVYqmSd6iVi6lYnpCEqGgIfkBMaQ8AIISqgg== "], "Byte", ColorSpace -> "RGB", ImageResolution -> 144, Interleaving -> True]}, Background -> RGBColor[0.921569, 0.341176, 0.105882], Method -> "Queued", ImageSize -> {All, 23}, Evaluator -> Automatic], FrameStyle -> Directive[ RGBColor[0.921569, 0.341176, 0.105882], AbsoluteThickness[2]], FrameMargins -> -1, ContentPadding -> False, StripOnInput -> False]& )}], Cell[ StyleData["SuggestionGridTemplate"], TemplateBoxOptions -> {DisplayFunction -> (StyleBox[ FrameBox[ AdjustmentBox[ TagBox[ GridBox[{{ TemplateBox[{#2, #3, {16., 16.}, {{1., 17.}, {1., 17.}}}, "SuggestionIconTemplate"], PaneBox[#, ImageSizeAction -> "ShrinkToFit", BaselinePosition -> Baseline, ImageSize -> Full], RowBox[{ AdjustmentBox[ TemplateBox[{ ActionMenuBox[ TagBox[ PaneSelectorBox[{False -> GraphicsBox[{ EdgeForm[ Directive[ GrayLevel[1, 0], Thickness[0.025]]], FaceForm[#4], RectangleBox[{-1.75, -2}, {1.75, 2}, RoundingRadius -> 0.2], Thickness[0.15], #5, LineBox[{{-0.5, -1.}, {0.5, 0.}, {-0.5, 1.}}]}, ImageSize -> {Automatic, 15}, ImageMargins -> 0], True -> GraphicsBox[{ EdgeForm[ Directive[#5, Thickness[0.025]]], FaceForm[#2], RectangleBox[{-1.75, -2}, {1.75, 2}, RoundingRadius -> 0.2], Thickness[0.15], GrayLevel[1], LineBox[{{-0.5, -1.}, {0.5, 0.}, {-0.5, 1.}}]}, ImageSize -> {Automatic, 15}, ImageMargins -> 0]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0], MouseAppearanceTag["LinkHand"]], #6, Appearance -> None, Method -> "Queued"], "\"View suggestions\""}, "PrettyTooltipTemplate"], BoxBaselineShift -> -0.5], " "}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {Automatic, Automatic, Fit}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{0.4}}}], "Grid"], BoxMargins -> {{0.25, -0.5}, {0.15, -0.15}}], RoundingRadius -> {13, 75}, Background -> #4, FrameStyle -> None, FrameMargins -> {{0, 8}, {0, 0}}, ImageMargins -> {{0, 0}, {5, 5}}, StripOnInput -> False], "Text", FontColor -> #5, FontSize -> 14, FontFamily -> "Source Sans Pro", FontWeight -> "SemiBold", FontTracking -> "Plain", PrivateFontOptions -> {"OperatorSubstitution" -> False}, LineBreakWithin -> False]& )}], Cell[ StyleData["SuggestionIconTemplate"], TemplateBoxOptions -> {DisplayFunction -> (GraphicsBox[{ Thickness[0.05555555555555555], StyleBox[{ FilledCurveBox[{{{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, CompressedData[" 1:eJxTTMoPSmVmYGBgBGJJIGZigIIGAwcIQ8kBxk94ekHp9k9Vh4qXaoYcOfoO m+a+X37stKZDbP+hrxpzdOA0TBymDqYPl7n2pnG7PHlk4PzZRxQ2FGWIwPWD jI3p54WbLxuVYn3fnwluD8S8H/Yo9gD5KPYA+TB7YPph9sDMh9EwcZg6FPdh MRfdXpi7YPph7oaZD/MXzB5c4QCzBwA8nn+Z "]]}, FaceForm[#]], StyleBox[{ FilledCurveBox[{{{0, 2, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}, {0, 1, 0}}, {{1, 4, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}, {1, 3, 3}}}, {{{8.175292500000001, 7.416875}, {7.796855000000001, 11.3084375}, {7.796855000000001, 13.38}, {10.11998, 13.38}, {10.11998, 11.3084375}, { 9.741542500000001, 7.416875}, {8.175292500000001, 7.416875}}, CompressedData[" 1:eJxTTMoPSmViYGCQBGIQ/cTvZcLf/4oOD6tE1rk/5HNQjDzAkqeL4FsusdsW 1KjgwAAGAg7hCSdehX2Xd5BvfR24Q07QwaZCOJPjjZyDHdf1xQW2Qg56LJYa iWlyDv2HvmrEzBeG80GmVbmIwvkvtjT6Sb8Qg+t/BLLPUwJuPti6DEm4/WD7 2qTg7gMZJyIm7QBzP4y/zEVob88lJTi/7+dk7hV1ynD9c3LzfPxZVODmr3ro 0futUwVu/0bpbbqnzqjA3Qfjw9wP48P8B9MP8z/MfFj4wOyHhR/MfbDwRQ9/ ACBxmlc= "]}]}, FaceForm[#2]]}, ImageSize -> #3, PlotRange -> #4, AspectRatio -> Automatic, BaselinePosition -> Scaled[0.1]]& )}], Cell[ StyleData["FormEditValuesButtonTemplate"], TemplateBoxOptions -> {DisplayFunction -> (TemplateBox[{ TagBox[ PaneBox[ PaneSelectorBox[{False -> GraphicsBox[ TagBox[ RasterBox[CompressedData[" 1:eJzNWHlMVEcYf28XlGM5VlcRapRDDFK0sBaLBWVXUDxTKpe4JgvoQlALAsvV hHIoV4KK6wGiQlUqoqDcKKysDSZtPZJWTTzaxGrV2mqrNtqKB3Qnz8+Zd6Cv tn90vkgyv+/4zc58M9/3dEtIXZoooSgqw8r8Z2l8tjo9PT43wtE8iUrJSE5K 0a1akKLXJenSAxKkZlD58h9y+X+M8Z7a/I3G7V/lHQgKp2kGmzw9rcrQb+j/ ZItPIGBvNywsVVGVJ01DWAqbpBYUFZ1hGsTYvssRqTLHt4nvoIgvbP6ZjM+I Nt9PzUePPdbvcvX+ZwzTQ9vv8yMh6R04fFNY0/ciOkM8wzjXY4+F47xJgiPF cqRuY3kOlnUGLFq4khsv53NPv8zd7NXs/lYsR+158Gm9l1Tu7IYwmq7oJaMd uWMnR7jMMXLd/isYt7UXx4F9Rjtj1NmNXPPsCKyh6S9+AHzUOHEcpR3gMWM+ iQdHrq1kZFkmidvYQS633399ZBf31G21F/ZdLmmvPo0zVcyalCFg33Qr78Ce 7+qv5jdOm8W3e39u9yN+npR3ieHQ5ArlWGwW28pBIXwfilvFcESnC2eyMoS0 ii8UstncZ2XDjiaROihGjbMcyWVJLBP0N2ELC8vm229icHFPKKo+Y3zK3Jj6 q2lV3gFvZpk4BfSqKHwfFC4fLNDml3cVt2IGO7m+5sRzfoSNxglemGVV8dZT yRXqaKeJ5V1gkWIALX5bk8r5u+3x3qEbwvuN3kJ1DN9j5mLQdz60skXIeM9X PoPMnWYzdD4cjoGRMC3XRyI5+CNolyQhJK4A5mWdXGs7Ofs3HP+z9nz16fbf Scz41Muf67c8B7Q7z6L5RiPMAxZxbfU1OFbDtVDNSGtmnb4qQz/W1F1ElYsc 8rG9A6BF8x1fw2zhSnbddHHHJ115kl3rJNI1mzBL6HI2x9SglrugQzHzG7Ft RQ95IglF+DfwqylNb2gRugnWMnNteFWLj/+FsNlLyd3tfoTrTPWZV+vUcBnQ cHbre8HoTzy3ljGYxzT2Cep3MespaibRtZWwGy9vnPmkmXPgjy1fgte7Mxlk fhwZa/8V+9EQTZuPzwg4HBSA1J4XZqCotB1gExTO58hrYOoYM5RzcCcAHHIn QKpPD8eBzx12GHP0PAlfjXPI3C8J7JXlSNjt9vuSYVrKkjbwUs4R2quCwxLU mFJTZpCoaQjXuPqrgPmqhBhs7XH1lTsxmP889su24lOEZuzEyJE7ZJ3Gu23o Z9bDHvitrb2A0Um+NedwxKO/IGzrKZhn15FnRFHeAdh2zSZuXxscCXtpGorR kxqpRWx2zxPQsTk8/bgrxe+MaWj9UXw/be11pZih5VduxzPCqu03kiPFALPM 3VyOCV5kv9P3ovJk6rbkipI2du3n39AwLegO3UBzn0CYH3vMfzHUMeyM4Mu6 7Vwfiqr6BrRxBWhO0/suAxK5jm8fpoX7LszAz4bJStAanylcGCwiFbD9V2ja xk4ZosmNTsc+Xv51F4Xit9yduwJbqaJ0JYEfoT4xaw9YFDaBVuaId93cVb58 MxPLsL/UIlSz2URmft3FGL2tA7YI1UAONF7HOeWnxhb6XULrJFnQsLHz+XDW x6ooZQjcOD4DKXsvkfnu6i1kYxpaVcw/H/5QRQl7L0lk27HfLJCtp8Rw6EqF fDe08F+54MjaC0jX8aDpFtglV4jhCAoH+44HzPvdfFuTy63xMGwd5GMpKq8B fNTRpNZj2vw4RvznkfhoZ7A/fBO9AdzTEhrM70HiNBGj1jJcRY3PJvmSHod+ Ao3Yr2j8HVXeNXMx7Cr7K7HmHOzFZGXWHpytjmPEcXx2kIzWcG15juOYqUHk dz+S2OwRVmFa3DkhaboljgF1R9wc6R3A/RJIz5PWe1wsNlssB0XFZgllI8Qe TrOhxcJSPAfqIjabhOLkNYSvFsL3XlqsG67qv264eqcYuv4gI9V/bz+Kptcf IbETz4ualXP+zf/+WMuWJO08i2J1P0qrYjJTIl2WyXx5NV6PK1C88/bR/7vx N3kqZvY= "], {{0, 50.}, {50., 0}}, {0, 255}, ColorFunction -> GrayLevel], BoxForm`ImageTag[ "Byte", ColorSpace -> "Grayscale", Interleaving -> False], Selectable -> False], DefaultBaseStyle -> "ImageGraphics", ImageSizeRaw -> {50., 50.}, PlotRange -> {{0, 50.}, {0, 50.}}], True -> GraphicsBox[ TagBox[ RasterBox[CompressedData[" 1:eJzNWG1MU1cY7m1vS4GWttBLy0dLWyhl5aultrT0C2QzM5rMIWgyluDHkMwf YgBF9gc1cWpijDNuRNFsv2Rmuqmb/NjIYIFkG2qyAYnAljidODfdmItu+AHs Xi6n59x7D3LH9mPnRJLzvB/Pue95z3nfat3UWLVFKpFImpX0n6qNrRVNTRvb 1mrpRc225tcbttW/tnJbS31DfZN/k4wGS+b/MSb/jxFvt7QX95R86TytXyMh WEztye1w97v7c97SBAG2tEHIqRpXX/ksnPlnCVIiMTWXz0DMN5rZSGqX4l+u t+wp+wn1z05Lu7ZCiIYfOjoTnf+MQfd8aFLoiZmRR4FbeEl02tQsnkFpCT/E +1lsUtViOezHOJYzhZdSVqVt5vvLe0/ldpzk7mbZN2I5vEPAJnjPdlBpnQOJ 4s9Qb2V3SB0Dk9rM7b4xiJNJ4jigjSINiaAV3TO1FjEgSr+PWRjFcRR+AiyS X0RxqjrnCDtNO1Bcpga5HJp8tud4m/2Yd9g3WvixZxBmqpg96SqBfmDCeXrZ t6XjzjOaMEbvhfADYZ4UdYvhMLfhcsy8k6sl1+PvQ8EFMRymJnwm6ypRLcse nI7rc1kC1xshk+sVRmkcn8V2AGvfi1jKy24vxhBvs+71XI4+Zm9M6XhuR5J/ cZaE54CcqoH3IS49eaWlvai74AJkIHWOE9GnQg/FPQl5kMW6zz2QfSh1nTKr qBto2I8CKXxbbQeF0VYVB27i4828hanrhRYpq4E8dF+WOBcFe8xmZv5OcxhC 9xdiYKexjm9DSP0/AGl6A4NYdoN14SW+NqnjfkPkT++QZzD0G4pFH6u9fDvz LiD1XGHWxT1gnbKKr+s4AX35rxtqpfHsPrXl7n4o8Y4wlQsditTIIyBl1iVf gVXaZm7djLfBk3b1cWsdIcs5DFkMr3A5NKHg3RgH7dN5BsmUT9ETse6F34Cp pkTBedxNkKno2hCrxZG/GIyq4mTKA1hnPJdj+6wVMEiYlzg6PX8mT2UqFlMV cU/Q0cnuJ/8ciuYcAdGYv3H0SbPnIByuL4BVUoBFjBtQX74xeQrwZmmHZwQ4 5PrYmQ7hGSSS3HeADt0XCTicXWwdY4duOewEAIfCEMu/wYU44LmDCEOOyFTG VphDdL+EiZU0DkQ7NEks0FIWXgRWuuW4WOV/QDCNqSTJh6Lls7DGlY4DTFuO YyCTYPVVGFgseQX3Zct6Yy6mxyFSdget0zDa7n52P9wB31rvMERVLs9VxOPP DOYeAOu8d9Ezor/Qj0TwML+vpapBLOlvb0ElBGlujUzF7iCHQ+Xm7xS+M3RN /AjeTzLJth8yBH/hdzxSZfBXlMN+NHZfTvI5EvLQfic67eqzH8s+VHiRW/uF N9RYB2SBm8xaEwTr8EPhi5G6npsRwml/m29Dv4FfA6llNxs+3yhAMrcL9Y11 4L7jGYTZoC6JffmTuHQWy2wEmG+MvvRqXaW5zdSE2Hi9Izj/wbuGV6EWVWN7 U/8S0yc6TsXux1kgJbUw6nRXOf9m2g5Ae4I01Lp60cz3jphaSA3UMNSCHPDf gDmlrYAajk7cPlEWZsjUmjL9y1SNrhLcOCEDOn3X0HxPdOJ0ymet+4TnIxxU Dd46fQtXj/tmgekeEMNh24+zLTgvfOWoau8wIwv9HpgAetmHxHDo1wB92nbu /S67bW7j13gwSI0ila6+XcAmdR0qVRUZN7AzeQWKK9KAfuAW8wbwTws32O9h pjILojIVrKLRJyoXahH4EUjE/oqGv6OKulNWg6hyfyV6roJYqEscp2C2yilx HM73UW/+6+ZdckoTQn/3M9PcKlUa62DnNBerCXEMTHfEz5HII9gvxbCp4D0+ Zm4Vy0H3kjtx2Qh8LyShs1UunoPpIly9OD/OroytONx3La1+oar/rJHotB8N /4F6Kv1Onkz3hx+iWPRp/jm6Y/gX//sjU6U3eK4wvsIPcjvYzCRkph3sLy// DcvuuIyle//vxt/PCE6d "], {{0, 50.}, {50., 0}}, {0, 255}, ColorFunction -> GrayLevel], BoxForm`ImageTag[ "Byte", ColorSpace -> "Grayscale", Interleaving -> False], Selectable -> False], DefaultBaseStyle -> "ImageGraphics", ImageSizeRaw -> {50., 50.}, PlotRange -> {{0, 50.}, {0, 50.}}]}, Dynamic[ CurrentValue["MouseOver"]], ImageSize -> Automatic, FrameMargins -> 0], ImageSize -> {Automatic, 15}, ImageSizeAction -> "ResizeToFit"], MouseAppearanceTag["LinkHand"]], "\"Edit values\""}, "PrettyTooltipTemplate"]& )}], Cell["Documentation", "Section"], Cell["Usage", "Subsection"], Cell[ StyleData["UsageInputs", StyleDefinitions -> StyleData["Input"]], CellMargins -> {{66, 10}, {0, 8}}, StyleKeyMapping -> {"Tab" -> "UsageDescription"}, Evaluatable -> False, CellEventActions -> {"ReturnKeyDown" :> With[{RSNB`nb$ = Notebooks[ EvaluationCell[]]}, SelectionMove[ EvaluationCell[], After, Cell]; NotebookWrite[RSNB`nb$, Cell["", "UsageDescription"], All]; SelectionMove[RSNB`nb$, Before, CellContents]], {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]]}, ShowAutoStyles -> False, ShowCodeAssist -> False, CodeAssistOptions -> {"DynamicHighlighting" -> False}, LineSpacing -> {1, 3}, TabSpacings -> {2.5}, CounterIncrements -> "Text", FontFamily -> "Source Sans Pro", FontSize -> 15, FontWeight -> "Plain"], Cell[ StyleData["UsageDescription", StyleDefinitions -> StyleData["Text"]], CellMargins -> {{86, 10}, {7, 0}}, StyleKeyMapping -> {"Backspace" -> "UsageInputs"}, CellGroupingRules -> "OutputGrouping", CellEventActions -> {"ReturnKeyDown" :> With[{RSNB`nb$ = Notebooks[ EvaluationCell[]]}, SelectionMove[ EvaluationCell[], After, Cell]; NotebookWrite[RSNB`nb$, Cell[ BoxData[""], "UsageInputs", FontFamily -> "Source Sans Pro"], All]; SelectionMove[RSNB`nb$, Before, CellContents]], {"KeyDown", "\t"} :> Replace[SelectionMove[ SelectedNotebook[], After, Cell]; NotebookFind[ SelectedNotebook[], "TabNext", Next, CellTags, AutoScroll -> True, WrapAround -> True], Blank[NotebookSelection] :> SelectionMove[ SelectedNotebook[], All, CellContents, AutoScroll -> True]]}, ShowAutoSpellCheck -> False], Cell["Details & Options", "Subsection"], Cell[ StyleData["Notes", StyleDefinitions -> StyleData["Item"]], CellDingbat -> StyleBox["\[FilledVerySmallSquare]", FontColor -> GrayLevel[0.6]], CellMargins -> {{66, 24}, {9, 7}}, ReturnCreatesNewCell -> False, StyleKeyMapping -> {}, DefaultNewCellStyle -> "Notes", ShowAutoSpellCheck -> False, GridBoxOptions -> {BaseStyle -> "TableNotes"}], Cell[ StyleData["TableNotes", StyleDefinitions -> StyleData["Notes"]], CellDingbat -> None, CellFrameColor -> RGBColor[0.749, 0.694, 0.553], StyleMenuListing -> None, ButtonBoxOptions -> {Appearance -> {Automatic, None}}, GridBoxOptions -> { FrameStyle -> GrayLevel[0.906], GridBoxAlignment -> { "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxDividers -> {"Columns" -> {{None}}, "Rows" -> {{True}}}, GridDefaultElement -> Cell["\[Placeholder]", "TableText"]}], Cell[ StyleData["TableText"], DefaultInlineFormatType -> "DefaultInputInlineFormatType", AutoQuoteCharacters -> {}, StyleMenuListing -> None], Cell["Examples", "Subsection"], Cell[ StyleData["ExampleDelimiter"], Selectable -> False, ShowCellBracket -> Automatic, CellMargins -> {{66, 14}, {5, 10}}, Evaluatable -> True, CellGroupingRules -> {"SectionGrouping", 58}, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False, CellLabelAutoDelete -> True, TabFilling -> "\[LongDash]\[NegativeThickSpace]", TabSpacings -> {100}, StyleMenuListing -> None, FontFamily -> "Verdana", FontWeight -> Bold, FontSlant -> "Plain", FontColor -> GrayLevel[0.906]], Cell[ StyleData["ExampleText", StyleDefinitions -> StyleData["Text"]]], Cell[ StyleData["PageBreak", StyleDefinitions -> StyleData["ExampleDelimiter"]], Selectable -> False, CellFrame -> {{0, 0}, {1, 0}}, CellMargins -> {{66, 14}, {15, -5}}, CellElementSpacings -> {"CellMinHeight" -> 1}, Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), CellFrameColor -> GrayLevel[ Rational[77, 85]]], Cell[ StyleData["Subsection"], Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False], Cell[ StyleData["Subsubsection"], Evaluatable -> True, CellEvaluationFunction -> (($Line = 0; Null)& ), ShowCellLabel -> False], Cell[ StyleData["ExampleImage"], PageWidth :> 650, CellMargins -> {{66, 66}, {16, 5}}, Evaluatable -> False, ShowCellLabel -> False, MenuSortingValue -> 10000, RasterBoxOptions -> {ImageEditMode -> False}], Cell["Links", "Section"], Cell[ StyleData["Link"], FontFamily -> "Source Sans Pro", FontColor -> Dynamic[ If[ CurrentValue["MouseOver"], RGBColor[0.855, 0.396, 0.145], RGBColor[0.02, 0.286, 0.651]]]], Cell[ StyleData["StringTypeLink", StyleDefinitions -> StyleData["Link"]], FontColor -> Dynamic[ If[ CurrentValue["MouseOver"], RGBColor[0.969, 0.467, 0.], GrayLevel[0.467]]]], Cell[ StyleData["CharactersRefLink"], ShowSpecialCharacters -> False], Cell["Annotation", "Section"], Cell[ StyleData["Excluded"], CellBracketOptions -> { "Color" -> RGBColor[0.9, 0.4, 0.4], "Thickness" -> 2}, GeneratedCellStyles -> { "Graphics" -> {"Graphics", "Excluded"}, "Message" -> {"Message", "MSG", "Excluded"}, "Output" -> {"Output", "Excluded"}, "Print" -> {"Print", "Excluded"}, "PrintTemporary" -> {"PrintTemporary", "Excluded"}}, CellFrameMargins -> 4, CellFrameLabels -> {{None, Cell[ BoxData[ TemplateBox[{ StyleBox[ "\"excluded\"", "ExcludedCellLabel", StripOnInput -> False], "\"Excluded cells will not appear anywhere in the published \ resource except for the definition notebook\""}, "PrettyTooltipTemplate"]], "ExcludedCellLabel"]}, {None, None}}, StyleMenuListing -> None, Background -> RGBColor[1, 0.95, 0.95]], Cell[ StyleData["ExcludedCellLabel", StyleDefinitions -> StyleData["Text"]], ShowStringCharacters -> False, FontFamily -> "Source Sans Pro", FontSize -> 9, FontWeight -> Plain, FontSlant -> Italic, FontColor -> RGBColor[0.9, 0.4, 0.4, 0.5], Background -> None], Cell[ StyleData["Comment", StyleDefinitions -> StyleData["Text"]], CellFrame -> {{3, 0}, {0, 0}}, CellMargins -> {{66, 0}, {1, 0}}, CellElementSpacings -> {"ClosedCellHeight" -> 0}, GeneratedCellStyles -> { "Graphics" -> {"Graphics", "Comment"}, "Message" -> {"Message", "MSG", "Comment"}, "Output" -> {"Output", "Comment"}, "Print" -> {"Print", "Comment"}, "PrintTemporary" -> {"PrintTemporary", "Comment"}}, CellFrameColor -> RGBColor[0.880722, 0.611041, 0.142051], CellFrameLabelMargins -> {{0, 10}, {0, 0}}, FontColor -> GrayLevel[0.25], Background -> RGBColor[0.982, 0.942, 0.871]], Cell[ StyleData["AuthorComment", StyleDefinitions -> StyleData["Comment"]], GeneratedCellStyles -> { "Graphics" -> {"Graphics", "AuthorComment"}, "Message" -> {"Message", "MSG", "AuthorComment"}, "Output" -> {"Output", "AuthorComment"}, "Print" -> {"Print", "AuthorComment"}, "PrintTemporary" -> {"PrintTemporary", "AuthorComment"}}, CellFrameColor -> RGBColor[0.368417, 0.506779, 0.709798], Background -> RGBColor[0.905, 0.926, 0.956]], Cell[ StyleData["ReviewerComment", StyleDefinitions -> StyleData["Comment"]], GeneratedCellStyles -> { "Graphics" -> {"Graphics", "ReviewerComment"}, "Message" -> {"Message", "MSG", "ReviewerComment"}, "Output" -> {"Output", "ReviewerComment"}, "Print" -> {"Print", "ReviewerComment"}, "PrintTemporary" -> {"PrintTemporary", "ReviewerComment"}}, CellFrameColor -> RGBColor[0.560181, 0.691569, 0.194885], Background -> RGBColor[0.934, 0.954, 0.879]], Cell[ StyleData["CommentLabel", StyleDefinitions -> StyleData["Text"]], ShowStringCharacters -> False, FontSlant -> "Italic", FontColor -> GrayLevel[0.5]], Cell["Special Input", "Section"], Cell[ StyleData["FormObjectCell"], CellMargins -> {{66, 66}, {16, 5}}], Cell[ StyleData["LocalFileInput", StyleDefinitions -> StyleData["Input"]], CellFrameLabels -> {{None, Cell[ BoxData[ ButtonBox[ "\"Choose\"", FrameMargins -> {{5, 5}, {0, 0}}, BaseStyle -> {"Panel", FontSize -> 12}, Evaluator -> Automatic, Method -> "Queued", ButtonFunction :> With[{RSNB`file = SystemDialogInput["FileOpen"], RSNB`cell = ParentCell[ EvaluationCell[]]}, If[ RSNB`file =!= $Canceled, SelectionMove[RSNB`cell, All, CellContents]; NotebookWrite[ Notebooks[RSNB`cell], RowBox[{"File", "[", ToBoxes[RSNB`file], "]"}]]]], Appearance :> FEPrivate`FrontEndResource[ "FEExpressions", "GrayButtonNinePatchAppearance"]]]]}, { None, None}}], Cell[ StyleData["LocalDirectoryInput", StyleDefinitions -> StyleData["Input"]], CellFrameLabels -> {{None, Cell[ BoxData[ ButtonBox[ "\"Choose\"", FrameMargins -> {{5, 5}, {0, 0}}, BaseStyle -> {"Panel", FontSize -> 12}, Evaluator -> Automatic, Method -> "Queued", ButtonFunction :> With[{RSNB`file = SystemDialogInput["Directory"], RSNB`cell = ParentCell[ EvaluationCell[]]}, If[ RSNB`file =!= $Canceled, SelectionMove[RSNB`cell, All, CellContents]; NotebookWrite[ Notebooks[RSNB`cell], RowBox[{"File", "[", ToBoxes[RSNB`file], "]"}]]]], Appearance :> FEPrivate`FrontEndResource[ "FEExpressions", "GrayButtonNinePatchAppearance"]]]]}, { None, None}}], Cell["Misc", "Section"], Cell[ StyleData["Item"], DefaultNewCellStyle -> "Item"], Cell[ StyleData["ButtonText"], FontFamily -> "Sans Serif", FontSize -> 11, FontWeight -> Bold, FontColor -> RGBColor[0.459, 0.459, 0.459]], Cell[ StyleData["InlineFormula"], HyphenationOptions -> {"HyphenationCharacter" -> "\[Continuation]"}, LanguageCategory -> "Formula", AutoSpacing -> True, ScriptLevel -> 1, SingleLetterItalics -> False, SpanMaxSize -> 1, StyleMenuListing -> None, FontFamily -> "Source Sans Pro", FontSize -> 1. Inherited, ButtonBoxOptions -> {Appearance -> {Automatic, None}}, FractionBoxOptions -> {BaseStyle -> {SpanMaxSize -> Automatic}}, GridBoxOptions -> { GridBoxItemSize -> { "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}}], Cell[ StyleData["DockedCell"], CellFrameColor -> GrayLevel[0.75], Background -> GrayLevel[0.9]]}, Visible -> False, FrontEndVersion -> "13.1 for Linux x86 (64-bit) (June 16, 2022)", StyleDefinitions -> "PrivateStylesheetFormatting.nb"] ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{ "Name"->{ Cell[629, 23, 96, 2, 70, "Title",ExpressionUUID->"8232fb07-58c6-4ff1-981d-703194ae676f", CellTags->{"Name", "TemplateCell", "Title"}, CellID->200213470]}, "TemplateCell"->{ Cell[629, 23, 96, 2, 70, "Title",ExpressionUUID->"8232fb07-58c6-4ff1-981d-703194ae676f", CellTags->{"Name", "TemplateCell", "Title"}, CellID->200213470], Cell[728, 27, 162, 4, 70, "Text",ExpressionUUID->"36610371-b286-45d1-89bb-aa2f76ff2f61", CellTags->{"Description", "TemplateCell"}, CellID->491410484]}, "Title"->{ Cell[629, 23, 96, 2, 70, "Title",ExpressionUUID->"8232fb07-58c6-4ff1-981d-703194ae676f", CellTags->{"Name", "TemplateCell", "Title"}, CellID->200213470]}, "Description"->{ Cell[728, 27, 162, 4, 70, "Text",ExpressionUUID->"36610371-b286-45d1-89bb-aa2f76ff2f61", CellTags->{"Description", "TemplateCell"}, CellID->491410484]}, "Definition"->{ Cell[915, 35, 1206, 29, 70, "Section",ExpressionUUID->"ced4e444-8b13-4dd0-b476-f5f691a7bbc1", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326]}, "Function"->{ Cell[915, 35, 1206, 29, 70, "Section",ExpressionUUID->"ced4e444-8b13-4dd0-b476-f5f691a7bbc1", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326]}, "TemplateCellGroup"->{ Cell[915, 35, 1206, 29, 70, "Section",ExpressionUUID->"ced4e444-8b13-4dd0-b476-f5f691a7bbc1", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326], Cell[11978, 328, 1980, 50, 70, "Subsection",ExpressionUUID->"70961ac0-77aa-4617-a59b-10f2e6755b6c", CellTags->{"TemplateCellGroup", "Usage"}, CellID->542419310], Cell[14800, 415, 1429, 32, 70, "Subsection",ExpressionUUID->"0a70d76f-356b-4641-a0eb-6843541afc5a", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236], Cell[19472, 515, 7029, 152, 70, "Section",ExpressionUUID->"d7a43bd6-6432-48f6-bb6f-f25cec8fa0f1", CellTags->{"Examples", "TemplateCellGroup"}, CellID->530638011], Cell[739925, 13730, 1026, 26, 70, "Subsection",ExpressionUUID->"7058d48f-8540-47af-96c8-87d3a7f771ca", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256], Cell[741040, 13764, 996, 26, 70, "Subsection",ExpressionUUID->"055a9847-409d-43f4-8c3d-ae37c726e7d7", CellTags->{"Keywords", "TemplateCellGroup"}, CellID->696375425], Cell[742214, 13804, 221, 6, 70, "Subsection",ExpressionUUID->"b2633f98-dbb3-4cac-9953-496ddc0ab6c3", CellTags->{"Categories", "TemplateCellGroup"}, CellID->362094786], Cell[750745, 14069, 980, 26, 70, "Subsection",ExpressionUUID->"fd0742be-77de-40f9-bfc4-51778032430a", CellTags->{"Related Symbols", "TemplateCellGroup"}, CellID->659846169], Cell[752063, 14118, 1039, 26, 70, "Subsection",ExpressionUUID->"215d949f-c16a-475e-a98d-e8c64839a2ff", CellTags->{"Related Resource Objects", "TemplateCellGroup"}, CellID->465534472], Cell[753192, 14152, 1084, 26, 70, "Subsection",ExpressionUUID->"94eea3ae-e0af-4786-9b47-bfde9959d0af", CellTags->{"Source/Reference Citation", "TemplateCellGroup"}, CellID->515669552], Cell[754832, 14193, 923, 26, 70, "Subsection",ExpressionUUID->"a317c296-be44-4f7f-8f53-247f575960b6", CellTags->{"Links", "TemplateCellGroup"}, CellID->571756773], Cell[756815, 14252, 1874, 45, 70, "Subsection",ExpressionUUID->"2b90ff77-2165-4409-b29d-a0dd68ac31bc", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448], Cell[767025, 14561, 955, 25, 70, "Subsection",ExpressionUUID->"ba83f6e6-9b85-4f05-b5f9-55ba55840ee9", CellTags->{"Compatibility", "TemplateCellGroup"}, CellID->559974822], Cell[768005, 14590, 1174, 31, 70, "Subsubsection",ExpressionUUID->"d023cdc0-c689-4267-b8a3-9f0d8385949e", CellTags->{"CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016], Cell[769308, 14630, 1113, 29, 70, "Subsubsection",ExpressionUUID->"27869c7f-37db-46d7-9ec6-2dc13ef9c987", CellTags->{"CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406], Cell[772559, 14728, 1280, 33, 70, "Subsubsection",ExpressionUUID->"7c1bc639-d5dc-4e35-a8b2-fbdce3e8084d", CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156], Cell[776028, 14831, 1913, 46, 70, "Subsubsection",ExpressionUUID->"434c3172-80c7-40ea-9589-1d8ec4cf78d5", CellTags->{"CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563], Cell[781967, 15001, 1071, 27, 70, "Subsubsection",ExpressionUUID->"73faacb9-7701-426d-a632-135ec52700ac", CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371], Cell[784320, 15073, 1155, 28, 70, "Section",ExpressionUUID->"6c029a42-2feb-4d43-9120-c888b30de612", CellTags->{"Author Notes", "TemplateCellGroup"}, CellID->681870591], Cell[786377, 15128, 1033, 26, 70, "Section",ExpressionUUID->"576ce2cc-47e0-48c3-b842-8696c26b3630", CellTags->{"Submission Notes", "TemplateCellGroup"}, CellID->916799765]}, "Documentation"->{ Cell[11758, 319, 195, 5, 70, "Section",ExpressionUUID->"b2a9acd9-f3b5-4649-bd03-7489cc32bb41", CellTags->{"Documentation", "TemplateSection"}, CellID->429741307]}, "TemplateSection"->{ Cell[11758, 319, 195, 5, 70, "Section",ExpressionUUID->"b2a9acd9-f3b5-4649-bd03-7489cc32bb41", CellTags->{"Documentation", "TemplateSection"}, CellID->429741307], Cell[739651, 13721, 249, 5, 70, "Section",ExpressionUUID->"f67e5728-3495-44a7-93a2-9e24f57f04d9", CellTags->{"Source & Additional Information", "TemplateSection"}, CellID->611501116]}, "Usage"->{ Cell[11978, 328, 1980, 50, 70, "Subsection",ExpressionUUID->"70961ac0-77aa-4617-a59b-10f2e6755b6c", CellTags->{"TemplateCellGroup", "Usage"}, CellID->542419310]}, "Details & Options"->{ Cell[14800, 415, 1429, 32, 70, "Subsection",ExpressionUUID->"0a70d76f-356b-4641-a0eb-6843541afc5a", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236]}, "Notes"->{ Cell[14800, 415, 1429, 32, 70, "Subsection",ExpressionUUID->"0a70d76f-356b-4641-a0eb-6843541afc5a", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236]}, "TabNext"->{ Cell[16232, 449, 846, 15, 70, "Notes",ExpressionUUID->"3f48507b-b60f-423b-a25e-34d966ca3930", CellTags->"TabNext", CellID->771566293], Cell[754279, 14180, 516, 8, 70, "Text",ExpressionUUID->"5c15eaf7-351e-45e3-883b-1be96f1eeadf", CellTags->{"DefaultContent", "TabNext"}, CellID->436399423], Cell[785478, 15103, 862, 20, 70, "Text",ExpressionUUID->"496e7fbe-5d7e-4ca8-80fd-827ed4852f4c", CellTags->"TabNext", CellID->934410186], Cell[787413, 15156, 515, 8, 70, "Text",ExpressionUUID->"69940464-b909-4912-b8d2-5ceb5c239a96", CellTags->{"DefaultContent", "TabNext"}, CellID->604291542]}, "Examples"->{ Cell[19472, 515, 7029, 152, 70, "Section",ExpressionUUID->"d7a43bd6-6432-48f6-bb6f-f25cec8fa0f1", CellTags->{"Examples", "TemplateCellGroup"}, CellID->530638011]}, "Source & Additional Information"->{ Cell[739651, 13721, 249, 5, 70, "Section",ExpressionUUID->"f67e5728-3495-44a7-93a2-9e24f57f04d9", CellTags->{"Source & Additional Information", "TemplateSection"}, CellID->611501116]}, "Contributed By"->{ Cell[739925, 13730, 1026, 26, 70, "Subsection",ExpressionUUID->"7058d48f-8540-47af-96c8-87d3a7f771ca", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256]}, "ContributorInformation"->{ Cell[739925, 13730, 1026, 26, 70, "Subsection",ExpressionUUID->"7058d48f-8540-47af-96c8-87d3a7f771ca", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256]}, "Keywords"->{ Cell[741040, 13764, 996, 26, 70, "Subsection",ExpressionUUID->"055a9847-409d-43f4-8c3d-ae37c726e7d7", CellTags->{"Keywords", "TemplateCellGroup"}, CellID->696375425]}, "Categories"->{ Cell[742214, 13804, 221, 6, 70, "Subsection",ExpressionUUID->"b2633f98-dbb3-4cac-9953-496ddc0ab6c3", CellTags->{"Categories", "TemplateCellGroup"}, CellID->362094786], Cell[742438, 13812, 8270, 252, 70, "Output",ExpressionUUID->"fdbb2d16-6687-442c-b512-37e214760ddb", CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->492118766]}, "Categories-Checkboxes"->{ Cell[742438, 13812, 8270, 252, 70, "Output",ExpressionUUID->"fdbb2d16-6687-442c-b512-37e214760ddb", CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->492118766]}, "CheckboxCell"->{ Cell[742438, 13812, 8270, 252, 70, "Output",ExpressionUUID->"fdbb2d16-6687-442c-b512-37e214760ddb", CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->492118766], Cell[770424, 14661, 2098, 62, 70, "Output",ExpressionUUID->"f9199635-3762-4b6d-9a55-025c3b52184f", CellTags->{"CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368], Cell[773842, 14763, 2149, 63, 70, "Output",ExpressionUUID->"8e407675-75f1-42be-bfe9-6c2e059cde4f", CellTags->{"CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753], Cell[777944, 14879, 3986, 117, 70, "Output",ExpressionUUID->"32f4d1c7-3be7-4d4d-8af2-46d67e984644", CellTags->{"CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750], Cell[783041, 15030, 1218, 36, 70, "Output",ExpressionUUID->"fcfde044-85cb-46bc-842f-80363e589b8e", CellTags->{"CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484]}, "Related Symbols"->{ Cell[750745, 14069, 980, 26, 70, "Subsection",ExpressionUUID->"fd0742be-77de-40f9-bfc4-51778032430a", CellTags->{"Related Symbols", "TemplateCellGroup"}, CellID->659846169]}, "Related Resource Objects"->{ Cell[752063, 14118, 1039, 26, 70, "Subsection",ExpressionUUID->"215d949f-c16a-475e-a98d-e8c64839a2ff", CellTags->{"Related Resource Objects", "TemplateCellGroup"}, CellID->465534472]}, "Source/Reference Citation"->{ Cell[753192, 14152, 1084, 26, 70, "Subsection",ExpressionUUID->"94eea3ae-e0af-4786-9b47-bfde9959d0af", CellTags->{"Source/Reference Citation", "TemplateCellGroup"}, CellID->515669552]}, "DefaultContent"->{ Cell[754279, 14180, 516, 8, 70, "Text",ExpressionUUID->"5c15eaf7-351e-45e3-883b-1be96f1eeadf", CellTags->{"DefaultContent", "TabNext"}, CellID->436399423], Cell[769182, 14623, 89, 2, 70, "Text",ExpressionUUID->"a3d66f19-d0d8-4b01-9b3e-70c4545ae015", CellTags->{"DefaultContent", "ScrapeDefault"}, CellID->913148768], Cell[787413, 15156, 515, 8, 70, "Text",ExpressionUUID->"69940464-b909-4912-b8d2-5ceb5c239a96", CellTags->{"DefaultContent", "TabNext"}, CellID->604291542]}, "Links"->{ Cell[754832, 14193, 923, 26, 70, "Subsection",ExpressionUUID->"a317c296-be44-4f7f-8f53-247f575960b6", CellTags->{"Links", "TemplateCellGroup"}, CellID->571756773]}, "Tests"->{ Cell[756815, 14252, 1874, 45, 70, "Subsection",ExpressionUUID->"2b90ff77-2165-4409-b29d-a0dd68ac31bc", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448]}, "VerificationTests"->{ Cell[756815, 14252, 1874, 45, 70, "Subsection",ExpressionUUID->"2b90ff77-2165-4409-b29d-a0dd68ac31bc", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448]}, "Compatibility"->{ Cell[767025, 14561, 955, 25, 70, "Subsection",ExpressionUUID->"ba83f6e6-9b85-4f05-b5f9-55ba55840ee9", CellTags->{"Compatibility", "TemplateCellGroup"}, CellID->559974822]}, "CompatibilityWolframLanguageVersionRequired"->{ Cell[768005, 14590, 1174, 31, 70, "Subsubsection",ExpressionUUID->"d023cdc0-c689-4267-b8a3-9f0d8385949e", CellTags->{"CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016]}, "Wolfram Language Version"->{ Cell[768005, 14590, 1174, 31, 70, "Subsubsection",ExpressionUUID->"d023cdc0-c689-4267-b8a3-9f0d8385949e", CellTags->{"CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016]}, "ScrapeDefault"->{ Cell[769182, 14623, 89, 2, 70, "Text",ExpressionUUID->"a3d66f19-d0d8-4b01-9b3e-70c4545ae015", CellTags->{"DefaultContent", "ScrapeDefault"}, CellID->913148768]}, "CompatibilityOperatingSystem"->{ Cell[769308, 14630, 1113, 29, 70, "Subsubsection",ExpressionUUID->"27869c7f-37db-46d7-9ec6-2dc13ef9c987", CellTags->{"CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406], Cell[770424, 14661, 2098, 62, 70, "Output",ExpressionUUID->"f9199635-3762-4b6d-9a55-025c3b52184f", CellTags->{"CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368]}, "Operating System"->{ Cell[769308, 14630, 1113, 29, 70, "Subsubsection",ExpressionUUID->"27869c7f-37db-46d7-9ec6-2dc13ef9c987", CellTags->{"CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406]}, "CompatibilityOperatingSystem-Checkboxes"->{ Cell[770424, 14661, 2098, 62, 70, "Output",ExpressionUUID->"f9199635-3762-4b6d-9a55-025c3b52184f", CellTags->{"CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368]}, "CompatibilityFeatures"->{ Cell[772559, 14728, 1280, 33, 70, "Subsubsection",ExpressionUUID->"7c1bc639-d5dc-4e35-a8b2-fbdce3e8084d", CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156], Cell[773842, 14763, 2149, 63, 70, "Output",ExpressionUUID->"8e407675-75f1-42be-bfe9-6c2e059cde4f", CellTags->{"CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753]}, "Required Features"->{ Cell[772559, 14728, 1280, 33, 70, "Subsubsection",ExpressionUUID->"7c1bc639-d5dc-4e35-a8b2-fbdce3e8084d", CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156]}, "CompatibilityFeatures-Checkboxes"->{ Cell[773842, 14763, 2149, 63, 70, "Output",ExpressionUUID->"8e407675-75f1-42be-bfe9-6c2e059cde4f", CellTags->{"CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753]}, "CompatibilityEvaluationEnvironment"->{ Cell[776028, 14831, 1913, 46, 70, "Subsubsection",ExpressionUUID->"434c3172-80c7-40ea-9589-1d8ec4cf78d5", CellTags->{"CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563], Cell[777944, 14879, 3986, 117, 70, "Output",ExpressionUUID->"32f4d1c7-3be7-4d4d-8af2-46d67e984644", CellTags->{"CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750]}, "Environments"->{ Cell[776028, 14831, 1913, 46, 70, "Subsubsection",ExpressionUUID->"434c3172-80c7-40ea-9589-1d8ec4cf78d5", CellTags->{"CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563]}, "CompatibilityEvaluationEnvironment-Checkboxes"->{ Cell[777944, 14879, 3986, 117, 70, "Output",ExpressionUUID->"32f4d1c7-3be7-4d4d-8af2-46d67e984644", CellTags->{"CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750]}, "Cloud Support"->{ Cell[781967, 15001, 1071, 27, 70, "Subsubsection",ExpressionUUID->"73faacb9-7701-426d-a632-135ec52700ac", CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371]}, "CompatibilityCloudSupport"->{ Cell[781967, 15001, 1071, 27, 70, "Subsubsection",ExpressionUUID->"73faacb9-7701-426d-a632-135ec52700ac", CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371], Cell[783041, 15030, 1218, 36, 70, "Output",ExpressionUUID->"fcfde044-85cb-46bc-842f-80363e589b8e", CellTags->{"CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484]}, "CompatibilityCloudSupport-Checkboxes"->{ Cell[783041, 15030, 1218, 36, 70, "Output",ExpressionUUID->"fcfde044-85cb-46bc-842f-80363e589b8e", CellTags->{"CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484]}, "Author Notes"->{ Cell[784320, 15073, 1155, 28, 70, "Section",ExpressionUUID->"6c029a42-2feb-4d43-9120-c888b30de612", CellTags->{"Author Notes", "TemplateCellGroup"}, CellID->681870591]}, "Submission Notes"->{ Cell[786377, 15128, 1033, 26, 70, "Section",ExpressionUUID->"576ce2cc-47e0-48c3-b842-8696c26b3630", CellTags->{"Submission Notes", "TemplateCellGroup"}, CellID->916799765]} } *) (*CellTagsIndex CellTagsIndex->{ {"Name", 910932, 17484}, {"TemplateCell", 911114, 17488}, {"Title", 911449, 17495}, {"Description", 911630, 17499}, {"Definition", 911808, 17503}, {"Function", 912004, 17507}, {"TemplateCellGroup", 912209, 17511}, {"Documentation", 916079, 17572}, {"TemplateSection", 916273, 17576}, {"Usage", 916649, 17583}, {"Details & Options", 916844, 17587}, {"Notes", 917048, 17591}, {"TabNext", 917254, 17595}, {"Examples", 917886, 17608}, {"Source & Additional Information", 918096, 17612}, {"Contributed By", 918310, 17616}, {"ContributorInformation", 918547, 17620}, {"Keywords", 918770, 17624}, {"Categories", 918963, 17628}, {"Categories-Checkboxes", 919363, 17635}, {"CheckboxCell", 919578, 17639}, {"Related Symbols", 920708, 17655}, {"Related Resource Objects", 920922, 17659}, {"Source/Reference Citation", 921147, 17663}, {"DefaultContent", 921362, 17667}, {"Links", 921872, 17677}, {"Tests", 922057, 17681}, {"VerificationTests", 922276, 17685}, {"Compatibility", 922491, 17689}, {"CompatibilityWolframLanguageVersionRequired", 922722, 17693}, {"Wolfram Language Version", 922996, 17697}, {"ScrapeDefault", 923259, 17701}, {"CompatibilityOperatingSystem", 923464, 17705}, {"Operating System", 923937, 17712}, {"CompatibilityOperatingSystem-Checkboxes", 924203, 17716}, {"CompatibilityFeatures", 924462, 17720}, {"Required Features", 924916, 17727}, {"CompatibilityFeatures-Checkboxes", 925169, 17731}, {"CompatibilityEvaluationEnvironment", 925427, 17735}, {"Environments", 925910, 17742}, {"CompatibilityEvaluationEnvironment-Checkboxes", 926184, 17746}, {"Cloud Support", 926447, 17750}, {"CompatibilityCloudSupport", 926693, 17754}, {"CompatibilityCloudSupport-Checkboxes", 927174, 17761}, {"Author Notes", 927418, 17765}, {"Submission Notes", 927619, 17769} } *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[629, 23, 96, 2, 70, "Title",ExpressionUUID->"8232fb07-58c6-4ff1-981d-703194ae676f", CellTags->{"Name", "TemplateCell", "Title"}, CellID->200213470], Cell[728, 27, 162, 4, 70, "Text",ExpressionUUID->"36610371-b286-45d1-89bb-aa2f76ff2f61", CellTags->{"Description", "TemplateCell"}, CellID->491410484], Cell[CellGroupData[{ Cell[915, 35, 1206, 29, 70, "Section",ExpressionUUID->"ced4e444-8b13-4dd0-b476-f5f691a7bbc1", CellTags->{"Definition", "Function", "TemplateCellGroup"}, CellID->72845326], Cell[2124, 66, 9597, 248, 70, "Input",ExpressionUUID->"2234c5e0-16fb-4aa1-8a9d-960b28e49816", CellID->872202004] }, Open ]], Cell[CellGroupData[{ Cell[11758, 319, 195, 5, 70, "Section",ExpressionUUID->"b2a9acd9-f3b5-4649-bd03-7489cc32bb41", CellTags->{"Documentation", "TemplateSection"}, CellID->429741307], Cell[CellGroupData[{ Cell[11978, 328, 1980, 50, 70, "Subsection",ExpressionUUID->"70961ac0-77aa-4617-a59b-10f2e6755b6c", CellTags->{"TemplateCellGroup", "Usage"}, CellID->542419310], Cell[CellGroupData[{ Cell[13983, 382, 146, 4, 70, "UsageInputs",ExpressionUUID->"4731da22-1b56-4195-851f-6d47851b44c4", CellID->810304551], Cell[14132, 388, 619, 21, 70, "UsageDescription",ExpressionUUID->"a2397f0f-5588-42eb-98f9-b198b0e6833f", CellID->430820615] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[14800, 415, 1429, 32, 70, "Subsection",ExpressionUUID->"0a70d76f-356b-4641-a0eb-6843541afc5a", CellTags->{"Details & Options", "Notes", "TemplateCellGroup"}, CellID->908801236], Cell[16232, 449, 846, 15, 70, "Notes",ExpressionUUID->"3f48507b-b60f-423b-a25e-34d966ca3930", CellTags->"TabNext", CellID->771566293], Cell[17081, 466, 611, 9, 70, "Notes",ExpressionUUID->"f9bf83cd-d0da-49ff-97e6-3cffed0c6a12", CellID->195084367], Cell[17695, 477, 868, 15, 70, "Notes",ExpressionUUID->"1fddbda3-15a0-4e9d-be86-281f58daa1ec", CellID->764092798], Cell[18566, 494, 857, 15, 70, "Notes",ExpressionUUID->"7ac965ea-4a37-4f6b-8bf0-788e3cd3ca91", CellID->558985330] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[19472, 515, 7029, 152, 70, "Section",ExpressionUUID->"d7a43bd6-6432-48f6-bb6f-f25cec8fa0f1", CellTags->{"Examples", "TemplateCellGroup"}, CellID->530638011], Cell[CellGroupData[{ Cell[26526, 671, 75, 2, 70, "Subsection",ExpressionUUID->"a9ca8c5e-85e6-46b8-862b-3dbb378d72e9", CellID->904125756], Cell[26604, 675, 166, 3, 70, "Text",ExpressionUUID->"f99cd818-e730-4913-b9ec-7d2bcc9c9f4a", CellID->686757999], Cell[CellGroupData[{ Cell[26795, 682, 916, 22, 70, "Input",ExpressionUUID->"23bbd144-e7cf-4091-b599-31291c5e3469", CellID->230588270], Cell[27714, 706, 1076, 30, 70, "Output",ExpressionUUID->"b7195cb2-b285-4215-9379-ad81cbbd005d", CellID->479759421] }, Open ]], Cell[28805, 739, 200, 4, 70, "Text",ExpressionUUID->"40370aa6-33e7-4014-af4c-675ab0d59078", CellID->287762853], Cell[CellGroupData[{ Cell[29030, 747, 528, 10, 70, "Input",ExpressionUUID->"47fdd12e-33d8-493e-ad7b-81bb0c544f76", CellID->205603271], Cell[29561, 759, 28246, 470, 70, "Output",ExpressionUUID->"f34e3393-80dd-4857-81a1-74ed52add29f", CellID->363745750] }, Open ]], Cell[CellGroupData[{ Cell[57844, 1234, 143, 4, 70, "ExampleDelimiter",ExpressionUUID->"3fac3356-2799-4aa1-9ee0-7a3b26024495", CellID->14107562], Cell[57990, 1240, 824, 24, 70, "Text",ExpressionUUID->"083cfb2a-23f2-4be8-80f2-eae28638fe7b", CellID->300841207], Cell[CellGroupData[{ Cell[58839, 1268, 1761, 46, 70, "Input",ExpressionUUID->"a3fe6814-14b0-482b-8f4a-8205409f3dc0", CellID->393318880], Cell[60603, 1316, 11735, 199, 70, "Output",ExpressionUUID->"dbb64444-c406-448f-bd42-75556ab6aa3d", CellID->292744844] }, Open ]], Cell[72353, 1518, 204, 4, 70, "Text",ExpressionUUID->"94954847-df3d-43e9-859a-96b827f29d75", CellID->287762854], Cell[CellGroupData[{ Cell[72582, 1526, 248, 6, 70, "Input",ExpressionUUID->"9cdd7e95-46d6-4e3d-8600-1c54a8e4dffa", CellID->605269059], Cell[72833, 1534, 12129, 205, 70, "Output",ExpressionUUID->"fadaad4e-4c9b-408a-a150-dc234433e156", CellID->669676385] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[85023, 1746, 66, 2, 70, "Subsection",ExpressionUUID->"a2aea258-22ea-4354-b89b-1e57f94ef9c1", CellID->204653245], Cell[CellGroupData[{ Cell[85114, 1752, 202, 4, 70, "Subsubsection",ExpressionUUID->"8fe202e7-d131-4c38-bb93-79f22c502371", CellID->789376604], Cell[85319, 1758, 929, 24, 70, "Text",ExpressionUUID->"b69b0cf1-f65b-4584-87a9-7bec6cd372e7", CellID->799752424], Cell[CellGroupData[{ Cell[86273, 1786, 1010, 28, 70, "Input",ExpressionUUID->"a6c52ce1-38f3-4c3c-aca9-baa8ae688449", CellID->821465313], Cell[87286, 1816, 3822, 100, 70, "Output",ExpressionUUID->"03316878-5e42-434a-b6fd-8b96dee9e35e", CellID->853389040] }, Open ]], Cell[CellGroupData[{ Cell[91145, 1921, 266, 7, 70, "Input",ExpressionUUID->"376d5d00-aac5-4d2e-937f-30b77edcdd2d", CellID->600781809], Cell[91414, 1930, 341, 8, 70, "Output",ExpressionUUID->"8823c4d6-89b0-477c-9ec4-44f80750e9ae", CellID->730758782] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[91804, 1944, 163, 3, 70, "Subsubsection",ExpressionUUID->"bf4cc185-034a-41c0-9476-6ee00c36c0b2", CellID->123576838], Cell[91970, 1949, 187, 4, 70, "Text",ExpressionUUID->"5085a772-4e6a-4f35-8e87-7b9ad9bb00af", CellID->270390539], Cell[CellGroupData[{ Cell[92182, 1957, 1010, 28, 70, "Input",ExpressionUUID->"8a37ea31-0594-47ff-ab0f-107bf59d567b", CellID->821465314], Cell[93195, 1987, 3822, 100, 70, "Output",ExpressionUUID->"02774884-b6bf-4fee-9f2a-42bbf26f5387", CellID->853389041] }, Open ]], Cell[97032, 2090, 396, 8, 70, "Text",ExpressionUUID->"58a46745-d9f7-4f3c-985f-4a6e0121e7c6", CellID->404653698], Cell[CellGroupData[{ Cell[97453, 2102, 344, 10, 70, "Input",ExpressionUUID->"8dab56ed-a2da-4610-bacc-7ddb2b2278be", CellID->486379909], Cell[97800, 2114, 18123, 303, 70, "Output",ExpressionUUID->"1d6c8e88-755b-458a-887a-b17556349458", CellID->297255371] }, Open ]], Cell[115938, 2420, 392, 8, 70, "Text",ExpressionUUID->"9cc3e1b9-9cd7-4861-b183-69a4fff26465", CellID->918205109], Cell[CellGroupData[{ Cell[116355, 2432, 248, 6, 70, "Input",ExpressionUUID->"9b574298-8f0a-4f58-a8f2-5d26e936d93f", CellID->611780817], Cell[116606, 2440, 36908, 612, 70, "Output",ExpressionUUID->"c6b24d5e-85cb-45c2-8c5e-121e5511638b", CellID->16233756] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[153563, 3058, 247, 5, 70, "Subsubsection",ExpressionUUID->"c75d5859-21e0-45a2-85cc-39ac7129a5b8", CellID->993963984], Cell[153813, 3065, 317, 8, 70, "Text",ExpressionUUID->"07b2453a-58e7-4e1d-94ab-67f876aab3f9", CellID->770350996], Cell[CellGroupData[{ Cell[154155, 3077, 1763, 46, 70, "Input",ExpressionUUID->"6d0f7fe5-78c0-4dac-8bee-e48c71546eba", CellID->658735914], Cell[155921, 3125, 11048, 187, 70, "Output",ExpressionUUID->"a5716a5c-81a9-4997-a33c-d473b048ee53", CellID->360149844] }, Open ]], Cell[CellGroupData[{ Cell[167006, 3317, 177, 5, 70, "Input",ExpressionUUID->"d519fd1c-735c-4b85-add8-050e0310e06d", CellID->962142665], Cell[167186, 3324, 13976, 236, 70, "Output",ExpressionUUID->"fe898cd8-d611-41d8-8eb9-d954544211e8", CellID->338799814] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[181223, 3567, 68, 2, 70, "Subsection",ExpressionUUID->"0adb09aa-3609-4280-9486-a0589cd03fe2", CellID->890561554], Cell[CellGroupData[{ Cell[181316, 3573, 187, 4, 70, "Subsubsection",ExpressionUUID->"39d7a3c3-ff73-4f7e-9945-3eb489e9b726", CellID->615421633], Cell[181506, 3579, 2140, 62, 70, "Text",ExpressionUUID->"42985c8e-1979-406c-a399-0e353a986016", CellID->671726385], Cell[183649, 3643, 142, 3, 70, "Text",ExpressionUUID->"d84d0ab3-5c5e-40d5-9c0d-1a1d6c88cd0d", CellID->380656147], Cell[183794, 3648, 817, 24, 70, "Input",ExpressionUUID->"aff34fe8-a1fd-409b-8411-f4c5f87fa2c8", CellID->711196925], Cell[CellGroupData[{ Cell[184636, 3676, 342, 9, 70, "Input",ExpressionUUID->"bdb885f5-3738-4f05-96f0-9916117b3c5f", CellID->369834712], Cell[184981, 3687, 11672, 239, 70, "Output",ExpressionUUID->"65e2ac3f-340c-4422-a4a6-cf5ade173ba6", CellID->741528247] }, Open ]], Cell[196668, 3929, 706, 22, 70, "Text",ExpressionUUID->"45a56df9-11fe-4c24-b17c-7c47a8c49fd5", CellID->78751038], Cell[CellGroupData[{ Cell[197399, 3955, 510, 14, 70, "Input",ExpressionUUID->"333c5097-5fad-454e-ab1a-a662a9bf8057", CellID->358222857], Cell[197912, 3971, 2761, 84, 70, "Output",ExpressionUUID->"543f280e-3030-453f-ab82-70925351d2c5", CellID->190043359] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[200734, 4062, 73, 2, 70, "Subsection",ExpressionUUID->"feb17f52-160c-494c-aeee-b3e675740122", CellID->605265931], Cell[CellGroupData[{ Cell[200832, 4068, 140, 3, 70, "Subsubsection",ExpressionUUID->"6b72d2ee-9d78-4e03-96fa-1df965e0a519", CellID->231495819], Cell[200975, 4073, 197, 4, 70, "Text",ExpressionUUID->"2e47298d-8974-4cdf-acbd-102903d1f9b4", CellID->879385885], Cell[201175, 4079, 323, 10, 70, "Input",ExpressionUUID->"df8187be-11ea-4c39-9ea4-148098006f78", CellID->82962222], Cell[201501, 4091, 230, 4, 70, "Text",ExpressionUUID->"00caff40-e940-4048-b141-ed746d96dce0", CellID->893946204], Cell[CellGroupData[{ Cell[201756, 4099, 329, 10, 70, "Input",ExpressionUUID->"9635af4d-3e15-41cc-a247-171bcca7a531", CellID->76288724], Cell[202088, 4111, 11892, 202, 70, "Output",ExpressionUUID->"812406c7-3107-4376-b9bd-c0e77153c047", CellID->154631042] }, Open ]], Cell[213995, 4316, 164, 3, 70, "Text",ExpressionUUID->"b7d3fee3-84d0-41e1-bb3e-feeeccae9522", CellID->318143557], Cell[CellGroupData[{ Cell[214184, 4323, 384, 11, 70, "Input",ExpressionUUID->"28e45996-afa2-4881-80d7-2ed39730ceeb", CellID->370505130], Cell[214571, 4336, 10307, 175, 70, "Output",ExpressionUUID->"5c4ae252-9629-4b7c-97b4-60dd9493ea2e", CellID->98174840] }, Open ]], Cell[224893, 4514, 221, 4, 70, "Text",ExpressionUUID->"107c14ac-a680-467c-8a42-10322550bf5f", CellID->884233369], Cell[CellGroupData[{ Cell[225139, 4522, 501, 12, 70, "Input",ExpressionUUID->"bed87c22-a454-4ffc-8453-738a419bca31", CellID->895517891], Cell[225643, 4536, 25648, 427, 70, "Output",ExpressionUUID->"47136ff6-bdbc-4c0c-8f85-dff53f8c14fa", CellID->607944381] }, Open ]], Cell[251306, 4966, 270, 5, 70, "Text",ExpressionUUID->"c8782fe4-6e95-49dc-a725-1c325b67d0e8", CellID->638368738], Cell[251579, 4973, 1185, 34, 70, "Input",ExpressionUUID->"86c8fa66-71ac-42e4-b162-7d64dc14b721", CellID->36261821], Cell[CellGroupData[{ Cell[252789, 5011, 309, 8, 70, "Input",ExpressionUUID->"8c4bc2dc-f3b1-4642-a7ca-b3fd39309492", CellID->667294358], Cell[253101, 5021, 2519, 57, 70, "Output",ExpressionUUID->"8d7471eb-dced-40fb-8849-b4557ee976dd", CellID->221100189] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[255669, 5084, 225, 4, 70, "Subsubsection",ExpressionUUID->"473f2146-61ef-47f8-a463-d948517ee963", CellID->352985055], Cell[255897, 5090, 202, 4, 70, "Text",ExpressionUUID->"bd31e3a5-fe51-4930-84ad-40f72aad8cfa", CellID->880395382], Cell[CellGroupData[{ Cell[256124, 5098, 528, 14, 70, "Input",ExpressionUUID->"0970a346-2220-49d0-9e4e-46ff1c8a10f1", CellID->11477390], Cell[256655, 5114, 378, 9, 70, "Output",ExpressionUUID->"1352e42c-cc44-4255-8d6f-daaeedbb5994", CellID->75683645] }, Open ]], Cell[257048, 5126, 302, 7, 70, "Text",ExpressionUUID->"4b448d42-8786-4cbe-b0aa-ea40a38b7a0b", CellID->217344256], Cell[CellGroupData[{ Cell[257375, 5137, 906, 25, 70, "Input",ExpressionUUID->"faf48d57-0081-40a1-857b-769a2e788393", CellID->93423009], Cell[258284, 5164, 320, 8, 70, "Output",ExpressionUUID->"74c7f162-1668-4bcc-ad52-9bec112398e2", CellID->666886200] }, Open ]], Cell[258619, 5175, 140, 3, 70, "Text",ExpressionUUID->"f10d5e94-567f-40f1-b254-93dda8586f51", CellID->317531709], Cell[CellGroupData[{ Cell[258784, 5182, 305, 7, 70, "Input",ExpressionUUID->"e7c1c724-481d-4a49-81ae-99a2d5212031", CellID->701739359], Cell[259092, 5191, 1370, 33, 70, "Output",ExpressionUUID->"86acc7d7-ab8c-4a40-a1f7-a9cefbc8385c", CellID->935756748] }, Open ]], Cell[260477, 5227, 275, 7, 70, "Text",ExpressionUUID->"ddde2833-ce22-4a07-be3e-16cf56b8dc4b", CellID->983587884], Cell[260755, 5236, 423, 12, 70, "Input",ExpressionUUID->"c9df8b42-6ff8-4183-819b-6e99ce5bae3f", CellID->601046518], Cell[261181, 5250, 270, 5, 70, "Text",ExpressionUUID->"f762ed63-e5fa-4dda-a826-c961b8d21e1d", CellID->638368739], Cell[261454, 5257, 1185, 34, 70, "Input",ExpressionUUID->"4a9bb8af-12c9-4d66-bcaa-a8f137d2531d", CellID->36261822], Cell[262642, 5293, 251, 5, 70, "Text",ExpressionUUID->"a3de60e7-2d47-4168-8947-7ff6c4a92af7", CellID->694202044], Cell[CellGroupData[{ Cell[262918, 5302, 356, 9, 70, "Input",ExpressionUUID->"836761d0-2b79-49ff-b4d3-ac3e0157d2ce", CellID->317400465], Cell[263277, 5313, 7119, 126, 70, "Output",ExpressionUUID->"342317bc-7a50-4d50-8016-229dbab67f14", CellID->697912481] }, Open ]], Cell[270411, 5442, 768, 23, 70, "Text",ExpressionUUID->"ce910f38-8210-4ae1-b566-07f76cd9f55f", CellID->307170350], Cell[271182, 5467, 470, 12, 70, "Input",ExpressionUUID->"2f19cc54-2248-499b-8e1f-00d0b7c67c02", CellID->435640224], Cell[271655, 5481, 246, 4, 70, "Text",ExpressionUUID->"d0443026-46f6-4251-8815-8b8b253593d9", CellID->390485629], Cell[CellGroupData[{ Cell[271926, 5489, 368, 11, 70, "Input",ExpressionUUID->"b2f38db4-3110-45e7-a1c0-5662f1468c32", CellID->904077395], Cell[272297, 5502, 84251, 1387, 70, "Output",ExpressionUUID->"086297bf-9fed-4c0e-b28b-9a5160a90045", CellID->899022369] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[356609, 6896, 85, 2, 70, "Subsection",ExpressionUUID->"6b4b66fc-9925-4b68-9f16-427002a07165", CellID->232113220], Cell[CellGroupData[{ Cell[356719, 6902, 147, 3, 70, "Subsubsection",ExpressionUUID->"84d15d8d-da1a-4f83-a8f1-57fd16db9f3e", CellID->189038979], Cell[356869, 6907, 1426, 43, 70, "Text",ExpressionUUID->"5bf17160-dc35-4d9f-a5a2-975c7bc840c2", CellID->227903630], Cell[358298, 6952, 222, 4, 70, "Text",ExpressionUUID->"e8c5fef2-3e3a-4a76-b935-04304ee2cc02", CellID->961687281], Cell[CellGroupData[{ Cell[358545, 6960, 1254, 33, 70, "Input",ExpressionUUID->"3be77a5e-4748-4801-8d09-27cdae47ae50", CellID->133311050], Cell[359802, 6995, 18078, 303, 70, "Output",ExpressionUUID->"f7ab0c54-aae7-4c7a-a933-8daa5be0fe70", CellID->799072857] }, Open ]], Cell[377895, 7301, 801, 23, 70, "Text",ExpressionUUID->"877b6203-227d-4dd6-9003-87c59d1821f4", CellID->162771754], Cell[CellGroupData[{ Cell[378721, 7328, 310, 8, 70, "Input",ExpressionUUID->"fe1ed2bc-cb60-4924-81ff-9d630f020ba0", CellID->609840244], Cell[379034, 7338, 2488, 88, 70, "Output",ExpressionUUID->"5dd7c8e4-e1fa-4dd9-bffa-6e1640b70f16", CellID->263957842] }, Open ]], Cell[381537, 7429, 808, 23, 70, "Text",ExpressionUUID->"b9be0d8f-3ad1-468a-a8b9-d6f2e8bf6218", CellID->510254902], Cell[CellGroupData[{ Cell[382370, 7456, 504, 14, 70, "Input",ExpressionUUID->"16b670a2-3ffb-4ad8-9747-4478d5fc050f", CellID->13863336], Cell[382877, 7472, 2224, 69, 70, "Output",ExpressionUUID->"90274394-068f-485c-8af1-51a5ad6832b0", CellID->582947033] }, Open ]], Cell[385116, 7544, 1763, 54, 70, "Text",ExpressionUUID->"054e501d-0bc4-4b48-83e4-d401a98b71e0", CellID->442401372], Cell[CellGroupData[{ Cell[386904, 7602, 592, 16, 70, "Input",ExpressionUUID->"1932aa73-b2db-4364-ba3b-d65c1f7172d9", CellID->891197406], Cell[387499, 7620, 2551, 73, 70, "Output",ExpressionUUID->"e0e248d8-97d9-4c9c-9965-3882b0a64595", CellID->253812842] }, Open ]], Cell[390065, 7696, 357, 10, 70, "Text",ExpressionUUID->"bf378015-ad31-4ad3-9f11-8f7f15cb87bf", CellID->917771622], Cell[CellGroupData[{ Cell[390447, 7710, 199, 5, 70, "Input",ExpressionUUID->"be2bd518-d27d-4ae6-b73e-5b5ad6521b00", CellID->478933799], Cell[390649, 7717, 36838, 611, 70, "Output",ExpressionUUID->"877f9341-072e-4df3-8080-b791520dbb91", CellID->994933296] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[427536, 8334, 171, 3, 70, "Subsubsection",ExpressionUUID->"e2283bbe-2880-40dd-8fc8-fd07ca35bc9b", CellID->893194145], Cell[427710, 8339, 1780, 56, 70, "Text",ExpressionUUID->"452bd08f-89ed-4983-827c-af49ad3d6d73", CellID->129638089], Cell[CellGroupData[{ Cell[429515, 8399, 1229, 33, 70, "Input",ExpressionUUID->"78ae6cef-4a45-45f6-b15d-8ea4df087163", CellID->314095959], Cell[430747, 8434, 12418, 252, 70, "Output",ExpressionUUID->"4040bf1a-428a-49cf-b762-a89c5bf12d04", CellID->55622232] }, Open ]], Cell[CellGroupData[{ Cell[443202, 8691, 625, 18, 70, "Input",ExpressionUUID->"06f545c3-4c2d-4684-8aba-0a3d646b4a1d", CellID->21598638], Cell[443830, 8711, 36785, 610, 70, "Output",ExpressionUUID->"20bd2ea8-0489-4683-9b65-ca03c56345f0", CellID->763343422] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[480676, 9328, 76, 2, 70, "Subsection",ExpressionUUID->"b506c05b-1665-4f07-99d1-691113a556fc", CellID->158766396], Cell[480755, 9332, 859, 23, 70, "Text",ExpressionUUID->"747aa71c-9035-4c90-b29a-f48f4588ea81", CellID->740141777], Cell[CellGroupData[{ Cell[481639, 9359, 767, 18, 70, "Input",ExpressionUUID->"45d0770f-2479-459d-823a-d479c436213b", CellID->301123611], Cell[482409, 9379, 81636, 1345, 70, "Output",ExpressionUUID->"0ac0cd60-babe-4f46-88aa-964b3c110315", CellID->287327801] }, Open ]], Cell[564060, 10727, 817, 24, 70, "Text",ExpressionUUID->"49612cc3-716d-4ae3-8f63-013a1a4569ab", CellID->989242327], Cell[CellGroupData[{ Cell[564902, 10755, 409, 11, 70, "Input",ExpressionUUID->"7756f12f-89ca-4177-be6f-199bc6a78195", CellID->516159134], Cell[565314, 10768, 40816, 675, 70, "Output",ExpressionUUID->"58612913-810f-431b-b344-35ef9d18990b", CellID->977705300] }, Open ]], Cell[606145, 11446, 463, 12, 70, "Text",ExpressionUUID->"d89fd8da-f1ee-4188-99e1-f5ce2eddd5bf", CellID->260270941], Cell[CellGroupData[{ Cell[606633, 11462, 384, 11, 70, "Input",ExpressionUUID->"2276555b-1884-44c8-91f7-639df3203903", CellID->382990620], Cell[607020, 11475, 19760, 330, 70, "Output",ExpressionUUID->"db7f96bd-cd3e-4249-8640-ff5fc8767130", CellID->377214241] }, Open ]], Cell[626795, 11808, 228, 6, 70, "Text",ExpressionUUID->"0075c862-1ea6-4007-a4d8-a8b4471deeb3", CellID->690081463], Cell[CellGroupData[{ Cell[627048, 11818, 570, 12, 70, "Input",ExpressionUUID->"a303ade2-25e6-468e-afb8-68d552694eb7", CellID->744405791], Cell[627621, 11832, 13461, 227, 70, "Output",ExpressionUUID->"276c9b29-43a9-4ca7-a044-2be0cf64ac47", CellID->26962584] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[641131, 12065, 74, 2, 70, "Subsection",ExpressionUUID->"c666c7f2-cc47-4662-8ae6-8046589e7454", CellID->461278909], Cell[641208, 12069, 227, 6, 70, "Text",ExpressionUUID->"0207e9fb-ff9f-49eb-bd2c-9845314e0f7b", CellID->935205926], Cell[CellGroupData[{ Cell[641460, 12079, 1379, 41, 70, "Input",ExpressionUUID->"f3b64be3-7449-4f79-999f-642ca3d6d327", CellID->328998831], Cell[642842, 12122, 96748, 1592, 70, "Output",ExpressionUUID->"a6d7d40f-d0bd-4e68-8463-5fae3960d932", CellID->182786852] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[739651, 13721, 249, 5, 70, "Section",ExpressionUUID->"f67e5728-3495-44a7-93a2-9e24f57f04d9", CellTags->{"Source & Additional Information", "TemplateSection"}, CellID->611501116], Cell[CellGroupData[{ Cell[739925, 13730, 1026, 26, 70, "Subsection",ExpressionUUID->"7058d48f-8540-47af-96c8-87d3a7f771ca", CellTags->{"Contributed By", "ContributorInformation", "TemplateCellGroup"}, CellID->86203256], Cell[740954, 13758, 49, 1, 70, "Text",ExpressionUUID->"55df21d5-123c-4fd9-9a2b-40d8fd39a858", CellID->371944346] }, Open ]], Cell[CellGroupData[{ Cell[741040, 13764, 996, 26, 70, "Subsection",ExpressionUUID->"055a9847-409d-43f4-8c3d-ae37c726e7d7", CellTags->{"Keywords", "TemplateCellGroup"}, CellID->696375425], Cell[742039, 13792, 41, 1, 70, "Item",ExpressionUUID->"aea1c51b-8986-44a3-9efb-582271c34052", CellID->501126921], Cell[742083, 13795, 44, 1, 70, "Item",ExpressionUUID->"9ec9ad54-33ab-455f-a9ca-4b8e72820700", CellID->670229312], Cell[742130, 13798, 47, 1, 70, "Item",ExpressionUUID->"69e21fd2-36b9-4dde-9206-3b0b45d7cc6a", CellID->52617004] }, Open ]], Cell[CellGroupData[{ Cell[742214, 13804, 221, 6, 70, "Subsection",ExpressionUUID->"b2633f98-dbb3-4cac-9953-496ddc0ab6c3", CellTags->{"Categories", "TemplateCellGroup"}, CellID->362094786], Cell[742438, 13812, 8270, 252, 70, "Output",ExpressionUUID->"fdbb2d16-6687-442c-b512-37e214760ddb", CellTags->{"Categories", "Categories-Checkboxes", "CheckboxCell"}, CellID->492118766] }, Open ]], Cell[CellGroupData[{ Cell[750745, 14069, 980, 26, 70, "Subsection",ExpressionUUID->"fd0742be-77de-40f9-bfc4-51778032430a", CellTags->{"Related Symbols", "TemplateCellGroup"}, CellID->659846169], Cell[751728, 14097, 43, 1, 70, "Item",ExpressionUUID->"ac3aba66-4717-4e7b-81ee-67d6333a857f", CellID->989726367], Cell[751774, 14100, 41, 1, 70, "Item",ExpressionUUID->"3ca9c9b7-500c-43e8-8860-981398d8ceae", CellID->609279010], Cell[751818, 14103, 46, 1, 70, "Item",ExpressionUUID->"405c22f4-67a4-4f8c-8c74-67f4f3a103fe", CellID->530409282], Cell[751867, 14106, 46, 1, 70, "Item",ExpressionUUID->"051d0f7d-345e-4807-aba5-a67dfb6bcf88", CellID->433997162], Cell[751916, 14109, 43, 1, 70, "Item",ExpressionUUID->"195c2a58-63b2-4d40-9d64-3af0309c1193", CellID->161169288], Cell[751962, 14112, 64, 1, 70, "Item",ExpressionUUID->"41aa5f03-d036-4646-a9db-ec27a77d5dee", CellID->276620459] }, Open ]], Cell[CellGroupData[{ Cell[752063, 14118, 1039, 26, 70, "Subsection",ExpressionUUID->"215d949f-c16a-475e-a98d-e8c64839a2ff", CellTags->{"Related Resource Objects", "TemplateCellGroup"}, CellID->465534472], Cell[753105, 14146, 50, 1, 70, "Item",ExpressionUUID->"1fca900f-8310-4d60-8bc7-e7fafa19cec8", CellID->613916374] }, Open ]], Cell[CellGroupData[{ Cell[753192, 14152, 1084, 26, 70, "Subsection",ExpressionUUID->"94eea3ae-e0af-4786-9b47-bfde9959d0af", CellTags->{"Source/Reference Citation", "TemplateCellGroup"}, CellID->515669552], Cell[754279, 14180, 516, 8, 70, "Text",ExpressionUUID->"5c15eaf7-351e-45e3-883b-1be96f1eeadf", CellTags->{"DefaultContent", "TabNext"}, CellID->436399423] }, Open ]], Cell[CellGroupData[{ Cell[754832, 14193, 923, 26, 70, "Subsection",ExpressionUUID->"a317c296-be44-4f7f-8f53-247f575960b6", CellTags->{"Links", "TemplateCellGroup"}, CellID->571756773], Cell[755758, 14221, 260, 5, 70, "Item",ExpressionUUID->"643e1a91-c8aa-48dc-a4e3-77bda3cf9849", CellID->471529848], Cell[756021, 14228, 410, 9, 70, "Item",ExpressionUUID->"bace331e-0a03-43da-85f4-1ad008bb140c", CellID->118692475], Cell[756434, 14239, 344, 8, 70, "Item",ExpressionUUID->"904328bf-143d-4e7e-aadf-538943705742", CellID->146005845] }, Open ]], Cell[CellGroupData[{ Cell[756815, 14252, 1874, 45, 70, "Subsection",ExpressionUUID->"2b90ff77-2165-4409-b29d-a0dd68ac31bc", CellTags->{"TemplateCellGroup", "Tests", "VerificationTests"}, CellID->561308448], Cell[CellGroupData[{ Cell[758714, 14301, 1418, 38, 70, "Input",ExpressionUUID->"5eed6bab-8ac2-4c4d-bd6d-33a2e2fefb17", CellID->24695718], Cell[760135, 14341, 259, 5, 70, "Output",ExpressionUUID->"2dfe88f7-fdad-4d45-8cd2-9b770efa9761", CellID->529114787] }, Open ]], Cell[CellGroupData[{ Cell[760431, 14351, 545, 14, 70, "Input",ExpressionUUID->"01deef03-f513-47c2-a26e-cfc59c796eeb", CellID->616993289], Cell[760979, 14367, 237, 5, 70, "Output",ExpressionUUID->"db7f06bc-f2f2-4d7b-8bb1-a5dd8af1e5dd", CellID->748992287] }, Open ]], Cell[CellGroupData[{ Cell[761253, 14377, 875, 25, 70, "Input",ExpressionUUID->"331b00f6-0dfe-48a2-afd9-9b77cd524689", CellID->8278227], Cell[762131, 14404, 254, 5, 70, "Output",ExpressionUUID->"01346200-1eca-4ceb-9efd-92a71587c644", CellID->993604659] }, Open ]], Cell[CellGroupData[{ Cell[762422, 14414, 786, 21, 70, "Input",ExpressionUUID->"43a15448-8861-4ab7-b788-1d9475f9a6da", CellID->763365969], Cell[763211, 14437, 244, 5, 70, "Output",ExpressionUUID->"df5ea805-f077-4679-9e6a-3fa8868fb5e5", CellID->340631766] }, Open ]], Cell[CellGroupData[{ Cell[763492, 14447, 784, 21, 70, "Input",ExpressionUUID->"f94e3852-6978-41a7-b56b-8708f67ffbb0", CellID->826853465], Cell[764279, 14470, 239, 5, 70, "Output",ExpressionUUID->"33ff4242-c8e9-4b1a-ba68-c63d956f38c3", CellID->187319866] }, Open ]], Cell[764533, 14478, 429, 12, 70, "Input",ExpressionUUID->"957317a7-433a-452f-9dff-7e05e5f2e33d", CellID->942081547], Cell[764965, 14492, 209, 5, 70, "Input",ExpressionUUID->"601d4ee8-a847-4124-8519-d3da186fbf17", CellID->534497553], Cell[765177, 14499, 503, 14, 70, "Input",ExpressionUUID->"15968eff-8b21-4d60-bedf-bef1d71fb4e9", CellID->366188927], Cell[CellGroupData[{ Cell[765705, 14517, 381, 10, 70, "Input",ExpressionUUID->"9c44071a-c377-4d22-a16b-0b098c0da830", CellID->118517040], Cell[766089, 14529, 259, 5, 70, "Output",ExpressionUUID->"3705ab10-2c8d-4974-8252-cd3f5f5225ca", CellID->541699544] }, Open ]], Cell[CellGroupData[{ Cell[766385, 14539, 376, 10, 70, "Input",ExpressionUUID->"f8999396-3c96-4e16-b3af-a8d40218b77b", CellID->77465674], Cell[766764, 14551, 212, 4, 70, "Output",ExpressionUUID->"8fb0e66b-d5cd-470e-ae19-96367e980f99", CellID->658983156] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[767025, 14561, 955, 25, 70, "Subsection",ExpressionUUID->"ba83f6e6-9b85-4f05-b5f9-55ba55840ee9", CellTags->{"Compatibility", "TemplateCellGroup"}, CellID->559974822], Cell[CellGroupData[{ Cell[768005, 14590, 1174, 31, 70, "Subsubsection",ExpressionUUID->"d023cdc0-c689-4267-b8a3-9f0d8385949e", CellTags->{"CompatibilityWolframLanguageVersionRequired", "TemplateCellGroup", "Wolfram Language Version"}, CellID->901090016], Cell[769182, 14623, 89, 2, 70, "Text",ExpressionUUID->"a3d66f19-d0d8-4b01-9b3e-70c4545ae015", CellTags->{"DefaultContent", "ScrapeDefault"}, CellID->913148768] }, Open ]], Cell[CellGroupData[{ Cell[769308, 14630, 1113, 29, 70, "Subsubsection",ExpressionUUID->"27869c7f-37db-46d7-9ec6-2dc13ef9c987", CellTags->{"CompatibilityOperatingSystem", "Operating System", "TemplateCellGroup"}, CellID->499582406], Cell[770424, 14661, 2098, 62, 70, "Output",ExpressionUUID->"f9199635-3762-4b6d-9a55-025c3b52184f", CellTags->{"CheckboxCell", "CompatibilityOperatingSystem", "CompatibilityOperatingSystem-Checkboxes"}, CellID->589765368] }, Closed]], Cell[CellGroupData[{ Cell[772559, 14728, 1280, 33, 70, "Subsubsection",ExpressionUUID->"7c1bc639-d5dc-4e35-a8b2-fbdce3e8084d", CellTags->{"CompatibilityFeatures", "Required Features", "TemplateCellGroup"}, CellID->989275156], Cell[773842, 14763, 2149, 63, 70, "Output",ExpressionUUID->"8e407675-75f1-42be-bfe9-6c2e059cde4f", CellTags->{"CheckboxCell", "CompatibilityFeatures", "CompatibilityFeatures-Checkboxes"}, CellID->851691753] }, Closed]], Cell[CellGroupData[{ Cell[776028, 14831, 1913, 46, 70, "Subsubsection",ExpressionUUID->"434c3172-80c7-40ea-9589-1d8ec4cf78d5", CellTags->{"CompatibilityEvaluationEnvironment", "Environments", "TemplateCellGroup"}, CellID->605308563], Cell[777944, 14879, 3986, 117, 70, "Output",ExpressionUUID->"32f4d1c7-3be7-4d4d-8af2-46d67e984644", CellTags->{"CheckboxCell", "CompatibilityEvaluationEnvironment", "CompatibilityEvaluationEnvironment-Checkboxes"}, CellID->71422750] }, Closed]], Cell[CellGroupData[{ Cell[781967, 15001, 1071, 27, 70, "Subsubsection",ExpressionUUID->"73faacb9-7701-426d-a632-135ec52700ac", CellTags->{"Cloud Support", "CompatibilityCloudSupport", "TemplateCellGroup"}, CellID->129998371], Cell[783041, 15030, 1218, 36, 70, "Output",ExpressionUUID->"fcfde044-85cb-46bc-842f-80363e589b8e", CellTags->{"CheckboxCell", "CompatibilityCloudSupport", "CompatibilityCloudSupport-Checkboxes"}, CellID->131115484] }, Closed]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[784320, 15073, 1155, 28, 70, "Section",ExpressionUUID->"6c029a42-2feb-4d43-9120-c888b30de612", CellTags->{"Author Notes", "TemplateCellGroup"}, CellID->681870591], Cell[785478, 15103, 862, 20, 70, "Text",ExpressionUUID->"496e7fbe-5d7e-4ca8-80fd-827ed4852f4c", CellTags->"TabNext", CellID->934410186] }, Open ]], Cell[CellGroupData[{ Cell[786377, 15128, 1033, 26, 70, "Section",ExpressionUUID->"576ce2cc-47e0-48c3-b842-8696c26b3630", CellTags->{"Submission Notes", "TemplateCellGroup"}, CellID->916799765], Cell[787413, 15156, 515, 8, 70, "Text",ExpressionUUID->"69940464-b909-4912-b8d2-5ceb5c239a96", CellTags->{"DefaultContent", "TabNext"}, CellID->604291542] }, Open ]] }, Open ]] } ] *) (* End of internal cache information *)