(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 13.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 691964, 12782] NotebookOptionsPosition[ 682739, 12569] NotebookOutlinePosition[ 684501, 12621] CellTagsIndexPosition[ 684458, 12618] WindowTitle->CheckboxLegended | Example Notebook WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell[TextData[{ "Basic Examples", "\[NonBreakingSpace]", Cell["(4)", "ExampleCount"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellChangeTimes->{{3.854625225419413*^9, 3.854625227403088*^9}}, CellID->839598776], Cell[TextData[{ "Add a ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Checkbox", "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/Checkbox"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], " legend to a ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["ListPlot", "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/ListPlot"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.763963142997438*^9, 3.763963164390234*^9}, { 3.765297972569075*^9, 3.765297976193075*^9}}, CellID->221583938], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"dataset", "=", RowBox[{"<|", RowBox[{ RowBox[{"\"\\"", "\[Rule]", " ", RowBox[{"Range", "[", "10", "]"}]}], ",", RowBox[{"\"\\"", "\[Rule]", " ", RowBox[{"Range", "[", RowBox[{"10", ",", "1", ",", RowBox[{"-", "1"}]}], "]"}]}]}], "|>"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", "dataset", "]"}], "\[IndentingNewLine]", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.763963051489213*^9, 3.763963138126495*^9}, { 3.7639635806561975`*^9, 3.763963586903426*^9}}, CellLabel->"In[7]:=", CellID->7099978], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt3Qd4VFX6x/GE0JuAdKVJ0RURFjfgqthQF3QBBRvLLgICiqz8VZQeqgUV BBQVg1hZkaXoIgHERRckSw0QVBZCSSGEhJIekkxmcv/v5Mh1MiU9uTN3vp/n PDwz55577ju5A/wYztzbYdT/DR5bLSAgYGJt+WXwyMl3vfDCyKlDGsmTRyZM HPfUhDGj+094ccxTY164eVSQdB4KDAj4RB7YH2sAAAAAAAAAAAAAAAC+ZuzY sUaXAAAAAFSYsS6MrggAAAAoOwItAAAAzIR8CwAAADMh3wIAAMBMyLcAAAAw E/ItAAAAzIR8CwAAADMh3wIAAMBMyLcAAAAwE/ItAAAAzIR8CwAAAO+Rnp4+ fvz41atXu2765ZdfXnnlFdm6bNmyY8eOeZqBfAsAAAAvkZ+fP3DgwICAgAkT Jjht+uyzz4KCggIuq1GjxqpVq9xOQr4FAACAN0hNTR0+fLiKr075NiEhoVGj RpJp33nnnZ9++un111+XrFutWrUDBw64zkO+BQAAgOG++eabq666Sv941inf Pv7449I5bdo0vWfGjBnSM2rUKNepyLcAAAAw3BVXXCF59e677546dapTvrXZ bA0aNJDOo0eP6p3Hjx+Xnrp161qtVqepyLcAAAAw3H333bd27dr8/Px33nnH Kd9GRUVJjwRgp12aNGki/a5fNDNTvs1JjEiLDJUmD4yuBQAA40XFJYeFn5Qm D4yuBSgp13y7e/du6enYsaPTyE6dOkn/zp07nfrNkW9tOWlJm0fEfthJb/JU Oo2uCwAAY2RmW95YuWf4nDC9yVPpNLouoHiu+Xbbtm3S07NnT6eRwcHB0r91 61anfnPkW6dwq0dco+sCAMAYTuFWj7hG1wUUzzXfhoeHS8/vf/97p5Hdu3eX /h9++MGp3wT5NicxwjXcqsZCBQCAH4qKS3YNt6qxUAHezzXfRkdHS0+7du2c RrZp00b6XS8RNtaDyq68AqVFhnrKt7LJ6OoAAKhqYeEnPeVb2WR0dUAxXPNt Tk6O9NSrV89ms+mdVqu1bt260p+UlOQ0g29FWbfItwAAOCLfwqe55lvRsWNH 6dy2bZve891330lP+/btXWcwQb5lfQIAAI5YnwCf5jbfLlq0SDr79etnsdi/ Jim/3nfffdKzcOFC1xlMkG81vl8GAEBhfL8Mvsttvs3IyGjevLn0BwcHT548 WV05oVevXo4rFnTmyLdcHwwAAEdcHwy+691335Xs+txzzzn1R0dH9+7dW7+B r4Rb1zs7KObItwr3dwAAwBH3d4D5JCcn79u3Ly4urogxZsq3AAAAAPkWAAAA ZkK+BQAAgJmQbwEAAGAm5FsAAACYCfkWAAAAZkK+BQAAgJmQbwEAAGAm5FsA AACYCfkWAAAAZkK+BQAAgJmQbwEAAGAm5FsAAACYCfkWAAAAZjLWhdEVAQAA AGVHoAUAAICZkG8BAABgJuRbAAAAmAn5FgAAAGZCvgUAAICZkG8BAABgJuRb AAAAmAn5FgAAAGZCvgUAAICZkG8BAABgJuRbAAAAmAn5FgAAAGZCvgUAAICZ kG8BAABgJuRbAAAAmAn5FgAAAGZCvgUAAICZkG+9TU5iRFpkqDR5YHQtAOC/ ouKSw8JPSpMHRtcCoHTIt97DlpOWtHlE7Ied9CZPpdPougDAv2RmW95YuWf4 nDC9yVPpNLouACU11oXRFfkvp3CrR1yj6wIA/+IUbvWIa3RdAEqKQOslchIj XMOtaixUAIAqExWX7BpuVWOhAuAryLdeIi0y1FO+lU1GVwcA/iIs/KSnfCub jK4OQImQb70E+RYAvAH5FjAB8q2XYH0CAHgD1icAJkC+9R58vwwAvAHfLwN8 HfnWe3B9MADwBlwfDPB15Ftvw/0dAMAbcH8HwHeRbwEAAGAm5FsAAACYCfkW AAAAZkK+BQAAgJmQbwEAAGAm5FsAAACYCfkWAAAAZkK+BQAAgJmQbwEAAGAm 5FsAAACYCfkWAAAAZkK+BQAAgJmMdWF0RQAAAEDZEWgBAABgJuRbAAAAmAn5 FgAAAGZCvgUAAICZkG8BAABgJuRbAAAAmAn5FgAAAGZCvgUAAICZkG8BAABg JuRbAAAAmAn5FgAAAN5v37598+fPf+aZZ15//fX9+/cXMZJ8CwAAAC83ceLE wMDAgMvk8YsvvuhpMPkWAAAA3mz9+vWSaWvVqhUSErJr166ZM2fWrl1betas WeN2PPkWAAAA3mz48OGSZp944gm9Z9SoUdIzdOhQt+PJtwAAAPBmjz76qKTZ GTNm6D0LFiyQnv79+7sdT74FAACAN/v4448lzbZr1y4uLk6eJiQkXHfdddKz ZMkSt+PJtwAAAPBm2dnZ48aNk0BbrVq17t27BwUFyeN77703JSXF7XjyLSpP TmJEWmSoNHlgdC0AqkJUXHJY+Elp8sDoWgCYR2Zm5t///veAwpYuXZqfn+92 PPkWlcGWk5a0eUTsh530Jk+l0+i6AFSWzGzLGyv3DJ8Tpjd5Kp1G1wXADNT3 y373u9/98MMPKSkp8mvXrl2lZ9SoUW7Hj/WgisuGyTiFWz3iGl0XgMriFG71 iGt0XQB8nsViadiwYc2aNU+cOKF3xsbG1qtXr3bt2llZWa67EGVR4XISI1zD rWosVABMKSou2TXcqsZCBQDltH379oCAgK5duzr133777dIfFhbmugv5FhUu LTLUU76VTUZXB6DihYWf9JRvZZPR1QHwbYcOHZIc26hRI5vN5tjfrVs36d+2 bZvrLuRbVDjyLeBvyLcAKo/FYmncuLFE2blz5+qdq1atkp46deqkp6e77kK+ RYVjfQLgb1ifAKBSqTQr+vbtO3369EcffTQwMFCevvfee27Hk29RGfh+GeBv +H4ZgEr1r3/9q3379vrFwVq3bi2h19Ng8i0qA9cHA/wN1wcDUAXOnj27b9++ M2fOFD2MfIvKw/0dAH/D/R0AeAPyLQAAAMyEfAsAAAAzId8CAADATMi3AAAA MBPyLQAAAMyEfAsAAAAzId8CAADATMi3AAAAMBPyLQAAAMyEfAsAAAAzId8C AADATMi3AAAAMJOxLoyuCAAAACg7Ai0AAADMhHwLAAAAMyHfAgAAwEzItwAA ADAT8i0AAADMhHwLAAAAMyHfAgAAwEzItwAAADAT8i0AAADMhHwLAAAAMyHf AgAAwEzItwAAADAT8i0AAADMhHwLAAAAMyHfAgAAwEzItwAAADAT8i0AAADM hHwLlEROYkRaZKg0eWB0LTCbqLjksPCT0uSB0bUAgBmQb4Gi2XLSkjaPiP2w k97kqXQaXRfMIDPb8sbKPcPnhOlNnkqn0XUBgG8b68LoigDv4hRu9YhrdF0w A6dwq0dco+sCKkA+TM3o91cxCLRAEXISI1zDrWosVEA5RcUlu4Zb1VioAJ+m RyDbZVaYgn5CvT/lkm+BIqRFhnrKt7LJ6Org28LCT3rKt7LJ6OqAsnCMtRKH LBZLboGcy7Lhg/TTp86mnFY963ptyiXfAkUg36LykG9hMnq4zcvLkyyUlZWV mpp64cKFc+fOJV529uzZBPiURAdyKi9evCinVU6unGI50V4bccm3QBFYn4DK w/oEmIkKOVarNTc3NyMjQ1KQJNv09HR56oXhB2Uj51dirZxWOblyiuVEy/mV Ti+MuORboGh8vwyVh++XwRzUx7Yq/KSmpp4/f15ij9FFoXLJKZYTLadbTrpa ruBVEZd8CxSN64Oh8nB9MJiA/smt5JyLFy8mJ/O/D35ETrecdBVxvepTXPIt UBLc3wGVh/s7wKepD29zc3NTUlIIt35ITrqcenkDeNVHuORbAABQNvoXyjIy Ms6dO2d0OTCGnHp5A+hfNzO6HDvyLQAAKBu1MiE7O1sSjsXC0ho/Jac+KSlJ 3gZqlYLR5diRbwEAQBmo9ZZ5eXnp6el8eOvn5A0gbwN5M3jJKlzyLQAAKAO1 OMFisVy8eDEtjW/d+jV5A8jbQN4MXrJEgXwLAADKQF+ccPbs2ZycnHLOVv4Z dKGhoUuXLt29e3dFTYhiyemTt4H3LFEg3wIAgDLQ8+2ZM2dsNlsZZjh27Nj0 6dP79+/fvHnzwMDAzp07P/7440uWLCnn5XNr164dEBDw4osvlmcSlIq8AeRt QL4FAAA+TS2+zcrKiouLK8Pu33zzzRVXXBHgTq9evU6fPl3mwqoy33788cdT pkx56623quBYXk7eBvJmUEtwja6FfAsAAMpCz7cxMTGl3ffTTz8NDAxUabZv 377Tpk175513xo8f36FDB9XZrFmzixcvlq2wqsy399xzjxyrU6dOVXAsLydv A/ItAADwaXq+jY6OLtWOVqu1devWEgtr1ar15ZdfOm7KzMz861//qiLu0qVL y1YY+dYQ8jYg3wIAAJ+m8q0k0tLm2xMnTqgEO2jQINetGRkZjRs3VqsUXLfa bLbY2Ng9e/bExMRITnY7f9H5Nj09PTIy8tChQ6mpqUXXKceKj4/fu3dvEVc/ K3++lde7b9++Yi+wphdz7NixS5cuVezMxf5IS0LeBvJmIN8CAADfpfKthKiT J0+WaseIiAiVb1966SW3A3bv3v3VV19t3brVsVOONWfOnGbNmunLdK+88srp 06dLv9PunvKthL377rvPcaHvXXfd5fYyCxLz5s6d27JlS31k27Zthw0b5pgV r7nmmqCgIH1AUIGuXbsW/dplBjXygw8+CAsLCw4Orl69uprhqquucvo0W3/h s2bNciymRo0ajzzySFRUVPlnLuGPtCTkbaDuYka+BQAAPqrM+dZisdSpU0fS lETEs2fPlnCvp59+2u2X0VyTjNt8+7///a9Ro0auu0vnkSNHnGaQOd0eS1Lu wYMH1Zirr77adUDnzp2LfhXyetXIv/3tb3Xr1nWdYfny5U67PPnkk26Ladeu 3ZkzZ8ozc8l/pCVBvgUAAL6uzPlW6J+jSkh77733iv0/9IULF6rxt9xyyz/+ 8Y+jR4+uWrVKHqvON99803Gwa76V+SVLBxR88jlr1qxdu3bt3r179uzZ6hPO Dh06OBYwd+5cNe2NN964bNkyCcZr1qzRVwVff/31alhcXNzx48dvvvlm6ZSs e7xAsZd90FNoQMGHpR988MH/CkybNk19GtysWbOsrCx9fEhIiBr8hz/8QQKq vPCNGzeOHj1adXbv3l2/s0ZpZy7Vj7QkyLcAAMDXlSffnjlzpkuXLnoek5wZ HBw8YcKEf/3rXxaLxWlwYmJitWrVVOBMT0/X+1NTUyVtqtTqeHsI13w7fvx4 daBPPvnEcebQ0FDVP3PmTNWTkJCgelq3bi3HdRz8xBNPqE3ff/+93lna9bd6 Cq1Tp86ePXscN40ZM0Zt2r9/v1Mx7du3v3DhguPgcePGqU2vv/56GWYu7Y+0 JLwt3zoxuiIAAOADypNvtYKI+9hjj6ks6qhp06YSdM+fP6+P3Lhxo9r0448/ Ok0ieVht2rt3r97pmm//8Ic/BBRciMy1jN///vey6f7773eaUB44jUxJSZk1 a5Yk4R07duidZc63/fv3d9q0bds2tUlfK7thwwbVs2XLFqfBubm56hoUjzzy SBlmLu2PtCS8Ld8aXQIAAPA95cy3ioTGDz744M9//rPjt5xE165d9aW5s2fP Vp1fffXVt4UtX75cbXr//ff1OZ3yrURBNaZnz57furjqqqtkU4sWLdTgGTNm qMElvPpumfOtRGWnTVFRUWqTvlBWsrTqkZ+S61QPPPBAQMHiijLMXNofaUmQ bwEAgK+rkHzrKDIyMiQkpH79+ipf3Xnnnap/wIABAcV56qmn9Hmc8q1+uYai qTjdr1+/gIILDpSw5jLn23fffddpU2xsrFMKvf/++wMKVkq4nWry5MmOUbxU M5f2R1oS5FsAAODrKjzfKqdOnbryyislX9WsWTM7O1u7nDlFsDuqf+7cufoM Tvl29+7demZzu3vbtm3lgcq3f/7zn6WnZcuWJay2CvKtp7Bdnnxb2h9pSZBv AQCArytzvk1LS0tISHD69paj6dOnq/S1a9cu/Wn16tVV3C2WU769dOmSuk7C jBkzit1X/4/7pKSkkhyrUvOtfvEEt+sTVBR3XZ9QkplL+yMtCfItAADwdWXO t+q7/0FBQZ5ufPbUU0+pPHb48GF5+tVXXznG3WK5fr+se/fu0vOnP/2p2H3D wsLUsdauXeu0KSsr6+233168eHFkZKTeqfJtu3btSlKYVsoUqn/Vq1TfLyvJ zKX9kZYE+RYAAPi6MufbnTt3qnD1xBNPuN4QVmZT6xPq1q2rrtd6+vRpNd7x cq/K5s2brysggU3vdM23+i0SnK4PJvUPGjRIdtcvrZCUlBQYGBhQ8I0zx7sn CP2qs999953eqZYQiISEhJK89lKlUClA9bRv397p+25FXB+sJDOX9kdaEuRb AADg68qz/la/+G2PHj3Wrl179OjRzMzMgwcPLlmypGHDhmrT//3f/+njp06d qjpvvvlmyahyxMOHD8+bN69evXrSKbukpqbqg13zbUxMTKtWrdT/yM+YMWP7 9u3SI0Hu1ltvVdPq178V8+fPV53dunVbtmzZ8ePHZaR+BV0JhI4v5JlnnlH9 Dz744JYtW2Rw0S+8VClUc7ieQ3Bw8IoVK6KioqQY/fZqN954o+v9HUo4c6l+ pCVBvgUAAL5Oz7enTp0q7b4SaG+44YYAzyQ3Ot7oQY6l30HMiaRZxw9UNQ/3 5z1w4ECDBg3cznD//ffn5uY6DtZTq5PWrVvv27fPceT333/vOKDk9+ctYQoV o0aNcltM27Zt3d6ft4Qzl+pHWhLyNiDfAgAAn6bybVZWVhnyrVawnHXMmDFN mjRxTFaBgYGdOnUKDQ11HS9xd+rUqU2bNtUHV69e/ZFHHvn555+dRqpPICdP nuzUHx4efvfddzserl27dpIGncKtsFqtc+fObdmypT6yefPmgwcP1i/J62j1 6tW33367GtalS5eiX/W5c+fUyGXLljltio+PV5s++ugjx375IYeEhEgBji98 yJAhx44dK+fMJf+RloS8DTIzM8m3AADAd+n5NiYmpjzzxMXFbdiwQaLXjh07 nNaCupLkKYfbv3//iRMn5OhlOFxqampkgeTk5GKPFRsbK8eSfFjstOnp6Rcv XiztPW1LTi/myJEjEiMrduZy/kiV6OhoeTNUar6VDP/FF1+8+OKLU6ZM+ec/ /2mz2TyNJN8CAIAyqKh8C3OQt0Gl5tvt27e3aNHC8eP34ODgjIwMt4PJtwAA oAwkxlit1kuXLp0+fbo8n/vBBGw2W1xcnLwZ5C1RGfk2KSmpTp06kmnHjBmz a9eut99+u23btvL06aefdjuefAsAAMpAz7fx8fHqQl7wW9nZ2fLPnMrLt+qG FA888IA++ZYtW6TnyiuvdLtKgXwLAADKQOXbnJycxMTECxcuGF0OjCRvAHkb yJuhMvKtTNioUaNq1ao5fr9POr/55pudO3e63YV8CwAAykAChs1my83NTU5O Pn36tNHlwEjyBpC3gbwZ5C1R4fk2KSkpoODKwzLzwYMH33777UWLFhV95zXy LeBvchIj0iJDpckDo2spu6i45LDwk9LkgdG1AP5LvwRuTExMdna20eXAGDk5 OdHR0ZV38duIiAjJt/3793e6YO+wYcMuXbrkdhfyLeA/bDlpSZtHxH7YSW/y VDqNrqt0MrMtb6zcM3xOmN7kqXQaXRfgj1S+lWSblJRUtqvgwgTk1MsbQN4G lZRvN2zYoGfa0aNHf/nll7Nnz65bt648nTRpkttdyLeA/3AKt3rENbqu0nEK t3rENbouwE/ZbDaLxZKRkREbG8sqBT8kJ11OvbwB5G1QxAVpy2P16tUq3M6b N0/v/Pjjj9UNKdxeM5l8C/iJnMQI13Crmg8tVIiKS3YNt6qxUAEwhP4ts+Tk 5BMnTpTkVggwjTNnzshJl1NfSd8sU3bu3Knubed4mY7U1NRatWpJ/+7du113 GetBZZQHwEBpkaGe8q1sMrq6kgoLP+kp38omo6sD/JRapXDp0qWLFy+eOnXq 6NGjnq66D9OQUywnWk63nHQ59ZV627Lo6Gj1Ua1EaMf+Xr16Sf/WrVtddyHK An6CfAug8ugRNzk5OS4u7vDhwxJ+EhISMjMzK+n/rFH15FTKCZXTKidXTnFs bKyc7soOt8JisTRs2FCi7P79+/VOybotWrSoVq1aSkqK6y7kW8BPsD4BQKWS 8KMWKmRkZJw7d07Cj6SgAwcO7N27d/fu3eHh4TsL/Aifos6anD45iXIq5YTK aZWTK6dYTrRallAF/4SZOnWq5Nubb75Zv0zHm2++qS4a5nY8+RbwH3y/DECl Umtxc3NzJYRI+ElJSTl//nxiYmJCgTNnzsTDB8mJU2dQTqWcUDmtcnLlFMuJ rrw1t04kTrdq1UoC7bXXXjtx4sQhQ4bI43r16u3bt8/tePIt4D+4PhiAKmAt kJeXJ/knJydHglDWZZnwQfrpk1MpJ1ROq5xcdZar8n0l6bp///7Vq1eXZFut WrWePXu6XXmrkG8Bf8P9HQBUAbVcAaZk4JrqS5cuHTx4sNj7QZNvAQAAYCbk WwAAAJgJ+RYAAABmQr4FAACAmZBvAQAAYCbkWwAAAJgJ+RYAAABmQr4FAACA mZBvAQAAYCbkWwAAAJgJ+RYAAABmQr4FAACAmZBvAQAAYCbkWwAAAJjJWBdG VwQAAACUHYEWAAAAZkK+BQAAgJmQbwEAAGAm5FsAAACYCfkWAAAAZkK+BQAA gJmQbwEAAGAm5FsAAACYCfkWAAAAZkK+BQAAppGfX/YG0yDfAgAAE9Bjqu1y s9qKb/pgUq6ZkG8BAIBPc0y2ElktVi23oOXk2Vu2h6a2qpGyi8q6pFxzIN8C AADfpSfbvIJkK8E1y6Jl5GppOVpqtpZS0JIvaRcdmjxV/TJAhslg2UV2lN3z HFIufBf5FgAA+Cg93KpkezpNe3W7dv/nWrel2nVLStpk8AMrtTd+tO+uUi4R 19eRbwEAgI/Sw+0li7b+F+2m97RrF5e99XzPPolMpUdc+CjyLeBvouKSw8JP SpMHRtdSdjmJEWmRodLkgdG1ADCG+og1z2b/0FVyqQTULuVuMolMJRPKtHyE 67vIt4D/yMy2vLFyz/A5YXqTp9JpdF2lY8tJS9o8IvbDTnqTp9JpdF0Aqlp+ wbfJcq1aTIrW412t86KKaTJVdIp9WqvNfb6NiYlp7qJFixZt27bt2rXrgAED Vq1aZbPZyv8Cz549u3PnzvLPU4GKLSk/P//OO++sVq3aunXrqqwqV+RbwH84 hVs94hpdV+k4hVs94hpdF4AqpX94m2XRXtmudVpUkW3uD/ZpPX2EGxUVFVCc a6+9dv369eV5gYsXL27YsOHzzz9fnkkqVklKCgkJUT+B1atXV1lhrsi3gJ+I ikt2Dbeq+dBChZzECNdwqxoLFQC/olbe5lq19Bztvk+1jm+VpQ36h7bpmPZT ojb9u0L9935inzbXwypcPd927tz5mcskUA0dOvS2226rXbu22lqjRo2IiDL+ uZSXl6cm8Z58W2xJMmDatGl6wjc83zoxsBgAlScs/KSnfCubjK6upNIiQz3l W9lkdHUAqo5anJCdZ7/eV5fFWoeFZWmSbHUDVv7W33mRfVqZ3O0SBT3fjhw5 0rWwpKSkRx55RA24/vrrs7Ozy/DqfC7fHjhwoEePHo6fYBuebw08OoAqQ74F YCZ6vj2XqbVfUJY2f0ehCYetKbRVpi1bvhU2m+2BBx4oNqBmZmYmJydbrVbX TSXJt/n5+efPn8/KyvL8Q/qVHKWE64HT0tLc1lN0Sa+88kr16tXV1po1a5Jv AVQZ1icAMBN98W1Sptb2zVK320LtN3fQxaY6D5Bp9SW4TorNtyI+Pj4oKEjG NGvWzLFf0uOCBQv69u171VVXqUnq1KnTp0+fLVu26GMmT54cHBystsruvXv3 fuyxx/Ste/fuHTp0aPfu3WVHNaZ9+/YTJkxITU11qmHFihU333xz/fr11VF6 9Oghqe/cuXOu1f74448DBgxo06aNGilHnzNnjsXy27ePiy7pxhtvVJukDHkh 5FsAVYnvlwEwDT3fnk3X2rxR6vZjTKHZhq52HiDTliffin79+qlheqSMjo7u 1atXgAevvfaaGjZw4ECnTZ07d1abpkyZEhgY6HZ3CcwXL17Ujz5z5ky3w1q0 aLFnz29/7Ofn50+bNq1atWquI3v27Hnq1KliSxIStmXAvn375PF//vMf8i2A qsT1wQAY68TplM3/PSlNHpRzKpVvM3O1hHTtqtdL1yZtKTTVu7vdjJFpZfLy 5Nt58+apYRL5VM+wYcNUz9ChQ6Xz6NGjO3bsePrpp1W8bNSoUUZGhlawlvXr r79WIwcMGLBx40YZpo6rwm2rVq1CQ0MPHz4cGRn52WefSdRUg+WIThV27dpV dpcDrVmz5tFHH1WdgwYN0ov8/PPPVWezZs2WLVt26NChb7/99uGHH1add9xx hxrmqSTFMVeTbwEYgvs7AKh6WdmWBf/Y6/jv64Vf7M0qx7+v9Xx7Jk1rNb8U 7brFhVYmxKTYe1yHybQZ5cu3EkHVsPfee0+eJiQk1KhRQ57279/faeTo0aPV yPDwcNXjdrHr3//+d9W5e/dux91jYmLUWoh7771X9SxfvlyN3Lp1qz7MZrN1 69ZNOqtXr56cbP/zPzMzs3Xr1ipax8XFOc4px1UzSDAuoiRX5FsAAOAnnMKt HnHLPKHKtxJB49O0lq8Vatcu0h5dZf/VqV+1Df8rNI+MdDssvtz59osvvlDD pk6dqhWk0FdfffXJJ590vT/Cp59+6hRH3YbJL7/88sUXX3zhhRdcj9WhQwcZ fMstt6inK1euVLs/9dRTOTk5+rDjx4/v2rVLXy+xdu1aNWzBggVOE2ZkZNSt W1c2PfTQQ0WU5Ip8CwAA/MGJ0ymevt9a5oUKjvm2+au/tS5v2T+SFSnZ2r0f FdokbXThWy68vct5gN7Kn2/nz5+vhr3zzjuuW1NTU/fu3StB9LnnnuvSpYsa uXnzZrW12DBptVpPnTol4xcuXDho0KBatWrJ4N69e6utSUlJ+pLahg0bDh48 ePny5QkJCU6TvPbaa3oCX+2iZcuWsumGG24oYUkK+RYAAPiDzf/1eH1C2VS2 OR3zbdNXfmtzv/9tjETcvit+29Rp4a/RV5HH0uO4r2Mrf74dM2aMGhYWFqZ3 bt++fciQIa1atQpwp9h8m5KSIqG0R48e+mW4HOn5Vqxbt06/wIISGBh40003 LV26NP/ySxo1apTbMhzJJGo8+RYAAEBX2fm2ycu/tefDCg07lKBds+DXTYv/ W2jTQ/8otKNTK3++veuuu9SwI0eOqB793rW6tm3bDh8+XP/eWdH5NjY2Vr+q mB4+b7vttjlz5jRp0sQp3wo57nPPPde+fXungw4cOFDddUL/HlmXLl2u8yw3 N9dTSa7ItwAAwB9U6vqEM2lao3mF2g+nCo08mGDvfHBloc5F4c57ObVyfr8s MjJSfeercePGagXsd999p4dSSaTh4eFpab9e+GXhwoVqk/5Jr9sweeutt6rO 22+/XdLjiRMn9Ls2NGzYUPqDg4PdFnPs2LElS5bcc889+rXFNmzYoBVc1VY9 lQHF/bzJtwAAAIVU3vfLJIheMbdQa/eGPdM6+jiiUE90sn2M015OrZz59s47 71RjQkJCVM8LL7ygetauXes0WL9+goqdmrswmZqaqpbU9ujRQ7Y67h4fH68G 9+zZU/V8/fXXkyZNGjdunNOBFi9erEY+++yzWsENINTT5cuXO420Wq0TJ06U AKxvIt8CAAA4qqTrg2VZ7EG0wRzn1uZ1++JbTwZ+7mYXpybTlu3+DklJSfq6 1rp1654/f171Dx48WHU6XjlWHDx4sFGjRmrTunXrLr+6fPVZq0yleg4fPqzG 3H333YV/DvlShtrUrVs31TlkyBDVI0HXcfCmTZtU/8yZM7WCyymoS5a1bt1a /zBZ0b961q9fP08luUW+BQAAfqXC7++g7l9Wb7abdtsH7iPuwp3uxzu1kty/ TPLk7MumTJkybNiwPn36NGjQQG0NCgr64osv9L30G4r17dtXrchNTU2V/Nms WbOAy1asWKGPr1evnkqeX3755b///e+cnByVRcXKlSszMzMlcP78889PPvmk vnubNm3UvpItVU/Hjh0/+uijxMRE6fzll1+6d++u+iMifr1y+MSJE1VP165d w8PDrVZrXFzc22+/rS7IEFD4CrpOJbk9L+RbAACAspHYabVplyxaYoZWd7b7 9td/Ou91KllrPd/jeMcm08rk1iLzbRFq1669atUqx71Onz6tvgWmtGjRQi3Q DShYN6sejB8/Xh+vr7YVNWvWzMvLe+mllxzn12erX7++5FiVqFWUlej70EMP 6YMDAwNljP50xIjfbmienp7eu3dvT69CcrvjS3AtyfW8kG8BAADKRs+3SZla w7la7Vnu2/gNhfa6/1OPIx1bk5ft03rKtydPnnSbBhs3bnzDDTf86U9/Wrx4 8YULF1xr3rdvX69evRx3adu27SeffCKbbrzxxoCCj0b1wSdOnLjuuuv0kRKq LRZLSEiIuu2CUqtWrSFDhkhyXr9+veoJDQ1Vu2dlZU2bNk3/MFmlXInB77// vlNVVqt1/vz5TZs2dSxMDu344bOnklxf444dO9RW12XGVYl8CwAAfI7Ktzl5 2sVLWre3tVozPbbpW7XkS/b2zIaihjk2mVCmlcnd5tvylZ0vcfQ/BdxmYCex sbGSKh0Xx0pwjYyM3LRp05EjR9x+gupIsuvRo0dl8Pbt21NTU4sefPbs2W3b tklAjY+Pz/f8sl1L8kLkWwAA4HMkf9nytVyrlpqtTdio1QipyDb+G/u0Mrkc omLzLaoG+RYAAPgiSZ4Wq5aZq0WetV/Rq/qMimkylUwo08rkhFsfRb4FAAC+ SC1RyC5YovDubq16iBY0o7xNJpGpZMLsSlicgCoz1oXRFQEAAJSI7fJHuGfT 7bckqz9bqza97E12X/xf+1Tqw1sb4dZnEWgBAICPUh/h5lq19Bx7Lt0Vp41c q13zplZjhhY4raStzkyty0Jt9Hptz2n7JBm59gn58NankW8BAIDv0iNuZq52 IUuLT9OiLmg/JWqHErT98dre07+2PQ5N74w4Yx8mg2UX2VF2zyTcmgL5FgAA +DQVcS1W+6LZjFz76tlzmfYbNCSk22+zG++hySYZIMNkcPIl+46yu4Vwawrk WwAAYAKSS1XKzcmzNwmrWRZ7y8x109Qmadl5v45XyVYaTIB8CwAATMOW/2tM LW3j22RmQr4FAACAmZBvAQAAYCbkWwAAAJgJ+RYAAABmQr4FAACAmZBvAQAA 4EM2bdo0ceLEw4cPexpAvgUAAICviI6ObtiwYUBAwOrVqz2NId8CAADAJ9hs tj59+gQUIN8CAADA17366qsBl5FvAQAA4NP2799fo0aNLl26DBw4kHwLAAAA n5aVlXXttddWr159z549Q4cOJd8CAADAp40bN04y7axZs+Qx+RaoEFFxyWHh J6XJA6NrgdnkJEakRYZKkwdG1wIA3mjjxo0SaIODg/Py8jTyLVBumdmWN1bu GT4nTG/yVDqNrgtmYMtJS9o8IvbDTnqTp9JpdF0A4EWSkpKaN29et27do0eP qp6S5Fu3qqpkwNs5hVs94hpdF8zAKdzqEdfougDAiwwZMkTS7ODBg7dedscd d0jP1KlT5XFyspv/VyXKAkWIikt2DbeqsVAB5ZSTGOEablVjoQIA6Dp27Bjg mURc113It0ARwsJPesq3ssno6uDb0iJDPeVb2WR0dQDgLebNm/dsYZ06dZJk e99998njY8eOue5CvgWKQL5F5SHfAkDZ8P0yoDxYn4DKw/oEACgb8i1QTny/ DJWH75cBQBn85S9/kXz7z3/+09MA8i1QNK4PhsrD9cGACpefX/YG0yDfAiXB /R1Qebi/A1Ah9Jhqu9ystuKbPpiUaybkWwAA4NMck61EVotVyy1oOXn2lu2h qa1qpOyisi4p1xzItwAAwHfpyTavINlKcM2yaBm5WlqOlpqtpRS05EvaRYcm T1W/DJBhMlh2kR1l9zyHlAvfRb4FAAA+Sg+3KtmeTtNe3a7d/7nWbal23ZKS Nhn8wErtjR/tu6uUS8T1deRbAADgo/Rwe8mirf9Fu+k97drFZW8937NPIlPp ERc+inwLAAB8kfqINc9m/9BVcqkE1C7lbjKJTCUTyrR8hOu7yLcAAMAX5Rd8 myzXqsWkaD3e1TovqpgmU0Wn2Ke12tzn25iYmOYuWrRo0bZt265duw4YMGDV qlU2m638L/Ds2bM7d+4s/zwVyFNJO3bsGDJkiLz8OnXqtGrV6q677nr55Zez s7OrvkKFfAsAAHyO/uFtlkV7ZbvWaVFFtrk/2Kf19BFuVFRUQHGuvfba9evX l+cFLl68uGHDhs8//3x5JqlYnkoaOXKk2x/CNddc89NPPxlSKvkWAAD4HLXy Nteqpedo932qdXyrLG3QP7RNx7SfErXp3xXqv/cT+7S5Hlbh6vm2c+fOz1wm gWro0KG33XZb7dq11dYaNWpERJTxotZ5eXlqEu/Jt55KWrJkiepv0qTJ/Pnz N2/evHLlyj59+qjOG264wZBPccm3AADA56jFCdl59ut9dVmsdVhYlibJVjdg 5W/9nRfZp5XJ3S5R0PPtyJEjXQtLSkp65JFH1IDrr7++bOnOV/Kt1Wpt0KCB dDZq1Oj06dN6f35+/mOPPabGr1ixouqrJd8CAACfo+fbc5la+wVlafN3FJpw 2JpCW2XasuVbYbPZHnjggWIDamZmZnJyskRE100lybeSIc+fP5+VleX5h/Qr OUoJ1wOnpaW5rcdTSXv37lWd8+bNcxofExOjNj3zzDMlOXTFIt8CAACfoy++ TcrU2r5Z6nZbqP3mDrrYVOcBMq2+BNdJsflWxMfHBwUFyZhmzZo59kt6XLBg Qd++fa+66io1SZ06dfr06bNlyxZ9zOTJk4ODg9VW2b13796PPfaYvlUi5dCh Q7t37y47qjHt27efMGFCamqqUw0rVqy4+eab69evr47So0cPSX3nzp1zrfbH H38cMGBAmzZt1Eg5+pw5cywWS7ElhYWFSb+8lm+//dZpzuzsbDX+wQcf9PRT qjzkWwAA4HP0fHs2XWvzRqnbjzGFZhu62nmATFuefCv69eunhumRMjo6ulev Xm6/iiVee+01NWzgwIFOmzp37qw2TZkyJTAw0O3uEjIvXryoH33mzJluh7Vo 0WLPnj0OP8b8adOmVatWzXVkz549T506VWxJnvz73/9WI2fNmlX0yMow1kXV 1wAAAPxBTtLBtMMrpMmDck6l8m1mrpaQrl31eunapC2Fpnp3t5sxMq1MXp58 O2/ePDXsP//5j+oZNmyY6hk6dKh0Hj16dMeOHU8//bSKl40aNcrIyJBhBw4c +Prrr9XIAQMGbNy4UYap46pw26pVq9DQ0MOHD0dGRn722WcSNdVgfZGAXmHX rl1ldznQmjVrHn30UdU5aNAgvcjPP/9cdTZr1mzZsmWHDh369ttvH374YdV5 xx13qGGeSvLEZrPpSX7r1q3Fns0KR6AFAACVzZabnrTlydgPO+kt6dvR0lnm CfV8eyZNazW/FO26xYVWJsSk2Htch8m0GeXLtxJB1bD33ntPniYkJNSoUUOe 9u/f32nk6NGj1cjw8HDV43ax69///nfVuXv3bsfdY2Ji1FqIe++9V/UsX77c NVtK5uzWrZt0Vq9ePTk5WStYANy6dWsVrePi4hznlOOqGSQYF1GSJ88++6wa /MADDxQ7uDKQbwEAQGVzCrd6xC3zhCrfSgSNT9NavlaoXbtIe3SV/VenftU2 /K/QPDLS7bD4cufbL774Qg2bOnWqVpBCX3311SeffNL1/giffvqpUxx1Gya/ /PLLF1988YUXXnA9VocOHWTwLbfcop6uXLlS7f7UU0/l5OTow44fP75r1y59 vcTatWvVsAULFjhNmJGRUbduXdn00EMPFVGSW7NmzVIjJTafOXOm6MGVhHwL AAAqVU7SQddwq1qZFyo45tvmr/7Wurxl/0hWpGRr935UaJO00YVvufD2LucB eit/vp0/f74a9s4777huTU1N3bt3rwTR5557rkuXLmrk5s2b1dZiw6TVaj11 6pSMX7hw4aBBg2rVqiWDe/furbYmJSXpS2obNmw4ePDg5cuXJyQkOE3y2muv 6Ql8tYuWLVsGFFzAtoQlqarGjRunhtWvX//HH38s4udTqci3AACgUqUdXuEp 38qmss3pmG+bvvJbm/v9b2Mk4vZd8dumTgt/jb6KPJYex30dW/nz7ZgxY9Sw sLAwvXP79u1Dhgxp1apVgDvF5tuUlBQJpT169KhZs6br7nq+FevWrdMvsKAE BgbedNNNS5cuzb/8kkaNGuW2DEcyiRpfbL7NzMwcMGCAGtO4cWNj7yxMvgUA AJWqsvNtk5d/a8+HFRp2KEG7ZsGvmxb/t9Cmh/5RaEenVv58e9ddd6lhR44c UT0hISFO6bFt27bDhw/Xv3dWdL6NjY3Vryqmh8/bbrttzpw5TZo0ccq3Qo77 3HPPtW/f3umgAwcOVHed0L9H1qVLl+s8y83N9VSSLjEx8Q9/+IMa0K5dO/0l G4V8CwAAKlWlrk84k6Y1mleo/XCq0MiDCfbOB1cW6lwU7ryXUyvn98siIyPV d74aN26sVsB+9913eiiVRBoeHp6WlqYGL1y4UG3SP+l1GyZvvfVW1Xn77bev Xr36xIkT+l0bGjZsKP3BwcFuizl27NiSJUvuuece/dpiGzZs0AquaqueyoDi ft5F5VsJ3moBsLjpppvOnj1b7GyVjXwLAAAqW+V9v0yC6BVzC7V2b9gzraOP Iwr1RCfbxzjt5dTKmW/vvPNONSYkJET1vPDCC6pn7dq1ToP16yeo2Km5C5Op qalqSW2PHj1kq+Pu8fHxanDPnj1Vz9dffz1p0qRx48Y5HWjx4sVq5LPPPqsV 3ABCPV2+fLnTSKvVOnHiRAnA+iZP+fb8+fMdO3bUPxkuyf3UqgD5FgAAVLZK uj5YlsUeRBvMcW5tXrcvvvVk4OdudnFqMm3Z7u+QlJSkr2utW7euxD/VP3jw YNXpdOXYgwcPNmrUSG1at27d5VeXrz5rlalUz+HDh9WYu+++u/DPIV/KUJu6 deumOocMGaJ6JOg6Dt60aZPqnzlzplZwOQV1ybLWrVvrHyYr+lfP+vXr56kk RT/6Y4895unevlWPfAsAAKpGhd/fQd2/rN5sN+22D9xH3IU73Y93aiW5f5nk ydmXTZkyZdiwYX369GnQoIHaGhQU9MUXX+h76TcU69u3r1qempqaKvmzWbNm AZetWPHbauR69eqp5Pnll1/++9//zsnJUVlUrFy5MjMzUwLnzz///OSTT+q7 t2nTRu27evVq1dOxY8ePPvooMTFROn/55Zfu3bur/oiICDVy4sSJqqdr167h 4eESUOPi4t5++211QYaAwlfQdSpJenbu3KmveZg8efJsd6Tacp7rMiDfAgAA nyOx02rTLlm0xAyt7mz37a//dN7rVLLWer7H8Y5NppXJrUXm2yLUrl171apV jnudPn1afQtMadGihVqgG1CwblY9GD9+vD5eX20ratasmZeX99JLLznOr89W v359tUJAJlRRVqLvQw89pA+WCCpj9KcjRozQj5Kent67d29Pr0LSqeNLcC3p scceK/ZH4fSBc9Ug3wIAAJ+j59ukTK3hXK32LPdt/IZCe93/qceRjq3Jy/Zp PeXbkydPug1yjRs3vuGGG/70pz8tXrz4woULrjXv27dPv2ut0rZt208++UQ2 3XjjjQEFH43qg0+cOHHdddfpIyVUWyyWkJAQddsFpVatWkOGDJHkvH79etUT Ghqqds/Kypo2bZr+YbJKuRKD33//faeqrFbr/PnzmzZt6liYHNrxw2dPJd10 003F5lv9rmpViXwLAAB8jsq3OXnaxUtat7e1WjM9tulbteRL9vbMhqKGOTaZ UKaVyd3m2/KVnS9x9D8F3GZgJ7GxsZIqHRfHSnCNjIzctGnTkSNHnL5o5kqy 69GjR2Xw9u3bU1NTix589uzZbdu27dixIz4+Pt/zy3YtyQuRbwEAgM+R/GXL 13KtWmq2NmGjViOkItv4b+zTyuRyiIrNt6ga5FsAAOCLJHlarFpmrhZ51n5F r+ozKqbJVDKhTCuTE259FPkWAAD4IrVEIbtgicK7u7XqIVrQjPI2mUSmkgmz K2FxAqoM+RYAAPgo2+WPcM+m229JVn+2Vm162Zvsvvi/9qnUh7c2wq3PIt8C AAAfpT7CzbVq6Tn2XLorThu5VrvmTa3GDC1wWklbnZlal4Xa6PXantP2STJy 7RPy4a1PI9+i8kTFJYeFn5QmD4yuBUBVyEmMSIsMlSYPjK4F/kKPuJm52oUs LT5Ni7qg/ZSoHUrQ9sdre0//2vY4NL0z4ox9mAyWXWRH2T2TcGsK5FtUhsxs yxsr9wyfE6Y3eSqdRtcFoLLYctKSNo8odPfVzSOk0+i64BdUxLVY7YtmM3Lt q2fPZdpv0JCQbr/NbryHJptkgAyTwcmX7DvK7hbCrSmMdWF0RTADp3CrR1yj 6wJQWZzCrR5xja4LfkRyqUq5OXn2JmE1y2JvmblumtokLTvv1/Eq2UqDCRBo UeGi4pJdw61qLFQATCknMcI13KrGQgVUMVv+rzG1tI1vk5kJ+RYVLiz8pKd8 K5uMrg5AxUuLDPWUb2WT0dUB8DvkW1Q48i3gb8i3ALwK+RYVjvUJgL9hfQIA r0K+RWXg+2WAv+H7ZQC8B/kWlYHrgwH+huuDAfAe5FtUHu7vAPgb7u8AwBuQ bwEAAGAm5FsAAACYCfkWAAAAZkK+BQAAgJmQbwEAAGAm5FsAAACYCfkWAAAA ZkK+BQAAgJmQbwEAAGAm5FsAAACYCfkWAAAAZkK+BQAAgJmMdWF0RQAAAEDZ EWgBAABgJuRbAAAAmAn5FgAAAGZCvgUAAICZkG8BAABgJuRbAAAAmAn5FgAA AGZCvgUAAICZkG8BAABgJuRbAAAAmAn5FgAAAGZCvgUAAID327Fjx/z58595 5pmXX3558+bNRYwk3wIAAMCbWSyWBx98MKCwu+66KzU11e148i0AAAC82aRJ kyTQNm/efPr06bt27Xr11Vevvvpq6fnb3/7mdjz5FgAAAF4rPz+/WbNmkmaX L1+ud65bt056atasabFYXHch3wIAAMBrnTlz5vrrr2/ZsqXjagSr1VqrVi2J uCdPnnTdhXwLAAAA33Lo0CEJt3Xq1MnLy3PdSr71NlFxyWHhJ6XJA6NrAQD/ lZMYkRYZKk0eGF0LgEIsFsvtt98u+fbxxx93O4B86z0ysy1vrNwzfE6Y3uSp dBpdFwD4F1tOWtLmEbEfdtKbPJVOo+sCYGe1WocOHSrhtmnTpufOnXM7hnzr PZzCrR5xja4LAPyLU7jVI67RdQHQsrKyBgwYIOG2fv36O3fu9DSMfOslouKS XcOtaixUAIAqk5MY4RpuVWOhAmCsCxcu9OrVS31yu3v37iJGjvWgykqFEhZ+ 0lO+lU1GVwcA/iItMtRTvpVNRlcH+C91FQUJt506dTp+/HjRg4myXoJ8CwDe gHwLeCEJt9dcc42E21tvvfXChQvFjiffegnWJwCAN2B9AuCFHn74YQm3f/zj Hy9dulSS8eRb78H3ywDAG/D9MsCr7Ny5M6BAUFBQUxdHjhxx3YV86z24PhgA eAOuDwZ4lYULFwZ4dvjwYdddyLfehvs7AIA34P4OgO8i3wIAAMBMyLcAAAAw E/ItAAAAzIR8CwAAADMh3wIAAMBMyLcAAAAwE/ItAAAAzIR8CwAAADMh3wIA AMBMyLcAAAAwE/ItAAAAzIR8CwAAADMh3wIAAMBMyLcAAAAwk7EujK4IAAAA KDsCLQAAAMyEfAsAAAAzId8CAADATMi3AAAAMBPyLQAAAMyEfAsAAAAzId8C AADATMi3AAAAMBPyLQAAAMyEfAsAAAAzId8CAADATMi3AAAAMBPyLQAAAMyE fAsAAAAzId8CAADATMyUb6PiksPCT0qTB0bXAgCA8XISI9IiQ6XJA6NrAaqO OfJtZrbljZV7hs8J05s8lU6j6wIAwBi2nLSkzSNiP+ykN3kqnUbXBVQFc+Rb p3CrR1yj6wIAwBhO4VaPuEbXBVQFE+TbqLhk13CrGgsVAAB+KCcxwjXcqsZC BfiDsS6MrqjUwsJPesq3ssno6gAAqGppkaGe8q1sMro6oNL5YqB1Qr4FAMAR +RZ+zgT5lvUJAAA4Yn0C/JwJ8q3G98sAACiM75fBn5kj33J9MAAAHHF9MPgz c+Rbhfs7AADgiPs7wD+ZKd8CAAAA5FsAAACYCfkWAAAAZkK+BQAAgJmQbwEA AGAm5FsAAACYCfkWAAAAZkK+BQAAgJmQbwEAAGAm5FsAAACYCfkWAAAAZkK+ BQAAgJmQbwEAAGAm5FsAAACYyVgXRlcEAAAAlB2BFgAAAGZCvgUAAICZkG8B AABgJuRbAAAAmAn5FgAAAGZCvgUAAICZkG8BAABgJuRbAAAAmAn5FgAAAGZC vgUAAICZkG8BAABgJuRbAAAAmAn51jtxXrwNZ8Q7cV68DWfEO3Fe4G94z3sn zou34Yx4J86Lt+GMeCfOC/wN73nvxHnxNpwR78R58TacEe/EeYG/4T3vnTgv 3oYz4p04L96GM+KdOC/wN1XznucoHMXXj2KOV8FROAq/UzgK4A/M9DuLo3AU 352fo3AUcxzFHK+CowC+zky/szgKR/Hd+TkKRzHHUczxKjgK4J3GAgAAlJLR +QWoGLyZAQAAYCbkWwAAAJgJ+RYAAABmQr4FAACAmZBvAQAAYCbkWwAAAJgJ +RYAAABmQr4FAAAAAAAAAKBoKSkpy5cvnzRp0vPPP//+++8nJCQYXRF+k52d PWXKlDfffNPoQmC3c+fOBQsWjB8/Xs7IyZMnjS4H2qVLlz7++OMXC8gDeWp0 RX5tzZo1o0ePdnsWfvnll1deeUV+7yxbtuzYsWNVXxsAv7Jp06Yrr7wywEGD Bg1WrlxpdF341YQJE+Sk/O53vzO6EH8n/9AYOXKk4++UWrVqffrpp0bX5dd+ /vnn9u3bO56UDh06SKfRdfmp8PDwmjVryllITk522vTZZ58FBQXpp6lGjRqr Vq0ypEgA/uDMmTONGzeWP2369esn/+7euHHjww8/rP7iln9rG10dtG+//TYw MJB86w0mTpwoJ6JNmzbyr7/t27f/5S9/kae1a9eOjo42ujT/deONN8pZ+OMf /7h+/fqvv/761ltvlafdunXLz883ujS/s2XLlubNm6v46pRvExISGjVqJJn2 nXfe+emnn15//XXJutWqVTtw4IBR1QIwN/nTRv2V7fjXgfztIJ2zZ882sDCI CxcutGrVSv19Qb41lvx9Xb9+/erVq4eHh+udN998s5yaxYsXG1iYPzt16pT8 /CUm6QtF5N8a8lQ6+e/vqiS/O0aMGOH4KbpTvn388celc9q0aXrPjBkzpGfU qFFVXiwAvxASEiLhdubMmY6d8+bNkz95/va3vxlVFZTBgwfLiXjppZfIt4Zb tGiRnIVx48Y5dv7vf//bunVrfHy8UVX5uSNHjqj/bMrKylI9FotF/YfUnj17 jK3Nr6jfHXXr1v3www/VajfHfGuz2Ro0aCCdR48e1TuPHz+udrFarUaUDMAf Pfjgg/InzyuvvGJ0IX5txYoVchYGDhwofymQbw0nyVbOwldffSV/cX/99dfy b8DVq1dfuHDB6Lr8Xbt27eS8vPrqqxKTJEctWbJEnjZt2lQeG12aH/noo4+e ffZZ9Q8913wbFRUlPVdccYXTXk2aNOGTdgBVZvPmzfJnTvXq1X/66Seja/Ff J06cqF+/frNmzZKSkuTPf/Kt4QYMGCBnYenSperjQaVFixZbt241ujS/tmPH jrZt28q5aNmy5dVXX61y1BdffGF0Xf7LNd/u3r1bejp27Og0slOnTtK/c+fO qi0QgD/as2ePxCr5M8dpxQKqktVqVQs7//Wvf8lT8q036Nmzp8q07du3f/fd dz/77LM77rhDpSmup2egb7/9VsUknZwpvvFnINd8u23bNnVenEYGBwdLP/9C BFDZNm3apMLtww8/nJeXZ3Q5/mv27NlyFp588kn1lHzrDeTnL2ehefPm+poE m83WoUMH6Zw0aZKxtfkt+a1RvXp1OQXTp0+Pj48/ffp0SEhIYGBggwYNuESY UVzzbXh4uPT8/ve/dxrZvXt36f/hhx+qtD4Afuajjz5Sf1OMHDmScGugAwcO yImoVq3aunXrthb48MMP5bxcffXV8nj//v1GF+in7rnnHjkLkydPduyUp+ra ekZV5edef/111+/gP/vss/wPlIFc8210dLT0tGvXzmlkmzZtpJ9LhAGoPIsW LVIXWeWaYIb7/PPPAzy75ZZbjC7QTz3xxBOuv0E2bdrESTHQXXfdJT//NWvW OHZ+//330hkcHGxUVX7ONd/m5ORIT7169Ry/9Ge1WuvWrSv9SUlJRpQJwPzm z58fUHA3mc8++8zoWqDt37//2cKGDRum1nnKYy61ahT12+TPf/6zY6e6fPQL L7xgVFV+Tl3p5a233nLsXLdunXT26dPHqKr8nGu+FR07dpTObdu26T3fffed Ws1e5QUC8AuHDh0KCgoKDAxcv3690bXAPdbfeoMLFy7Ur19ffqdIfNJ71Df3 v/rqK2Nr81sLFixQGSkuLk71ZGZm3nTTTdI5Y8YMY2vzW27zrbpAbr9+/SwW i1ZwmeL77rtPehYuXGhQmQBMTq0qVFeMdDJixAijq4Md+dZLvPzyy+puAkOG DHnppZfU6sHHH3+cW8EaJTc3V92ft2XLlmPGjJk0aZL6xl/Hjh0zMjKMrs5P uc23cjrUrXuDg4MnT56srpzQq1cvLlMMoJKo28q4NXjwYKOrg526OnrXrl2N LgTaJ5980qxZM/UbRP4eHzVqlEQso4vyaxcuXBg5cmRQUJA6KdWqVZN/cZw9 e9bouvyX+g2Smprq1B8dHd27d2/97xcJt9zZAQAA7xETE/Pzzz/z0ZP3yMnJ +alAdna20bWgKMnJyfv27dPXkwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAUJX+H719b/0= "], {{0, 232.}, {464., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{464., 232.}, PlotRange->{{0, 464.}, {0, 232.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.76396310050708*^9, 3.7639631392895985`*^9}, { 3.7639631712528706`*^9, 3.7639631737154007`*^9}, 3.7639635878199797`*^9, 3.7639645274580173`*^9, 3.7639645716945124`*^9, 3.763964834469535*^9, 3.7639672357401576`*^9, 3.7639697090511956`*^9, 3.7639703355869975`*^9, 3.7639756515089207`*^9, 3.763977395841275*^9, 3.7639839504336967`*^9, 3.7645005208477416`*^9}, CellLabel->"Out[8]=", CellID->194565235] }, Open ]], Cell[TextData[{ "The options of ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["ListPlot", "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/ListPlot"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], " can still be used to specify your own styles:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7639636112852144`*^9, 3.7639636185816994`*^9}, { 3.7639703521314588`*^9, 3.763970373916213*^9}, {3.765297981752075*^9, 3.765297981752075*^9}}, CellID->74546359], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", RowBox[{"dataset", ",", " ", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Red", ",", "Blue"}], "}"}]}]}], "]"}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.76396359801371*^9, 3.763963606434162*^9}}, CellLabel->"In[9]:=", CellID->901352281], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt3Ql4U1Xex/EurGURkF3ZZNEREQanwKioiArIAApuDDMqCCgy8qooewFB ESqVRVSEwZURGRYdBEQcdEA6lH1RGTZpgVIoS1u60DZNe99/euSSZuneJjn5 fp7z8CTnnnvuSe5N8iM9ubfFkP/rPzwoICBgdBX5p//gsd1efnnw+AG15M6j o0aPeHbUsKG9Rr0y7NlhL3cZEiyV+wIDAj6WG7bbBgAAAAAAAAAAAAAAgK8Z Pny4p4cAAAAAlJrhTjw9IgAAAKD4CLQAAADQCfkWAAAAOiHfAgAAQCfkWwAA AOiEfAsAAACdkG8BAACgE/ItAAAAdEK+BQAAgE7ItwAAANAJ+RYAAADeIzk5 eeTIkcuXL3de9Msvv7zxxhuydOHChYcPH3bXA/kWAAAAXiInJ6dv374BAQGj Ro1yWPTpp58GBwcHXFGxYsVly5a57IR8CwAAAG+QlJT05JNPqvjqkG/j4uJq 1aolmfadd9756aefZs2aJVk3KChoz549zv2QbwEAAOBxX3/99XXXXWd+PeuQ b5944gmpnDBhglkzadIkqRkyZIhzV+RbAAAAeNw111wjefXee+8dP368Q77N zs6uUaOGVB46dMisPHr0qNSEhIRYrVaHrsi3AAAA8LgHHnhg5cqVOTk577zz jkO+PXLkiNRIAHZYpU6dOlLv/EMznfJtZKQRHm4rcgMAAPDRCF/knG+joqKk pmXLlg4tW7VqJfVbt251qNcj3yYmGj16GAEBV4vclUoAAPwUH43wWc75dtOm TVLTsWNHh5ahoaFSv3HjRod6PfKtwyvYfB0DAOCn+GiEz3LOt5GRkVLz+9// 3qFl+/btpf6HH35wqNcg30ZGungFq8JfYwAA/oiPRvgy53wbHR0tNc2aNXNo 2aRJE6l3PkXYcDfKeuSlKDzc7YtYFgEA4Hf4aIQvc863GRkZUlOtWrXs7Gyz 0mq1hoSESH18fLxDD74VZV3iRQwAQB58NMKXOedb0bJlS6nctGmTWfPdd99J TfPmzZ170CDf8kcYAADy4KMRvsxlvp0zZ45U9uzZ02KxyF3594EHHpCaiIgI 5x40yLcGk+gBAHDARyN8lst8m5KSUr9+fakPDQ0dO3asOnNCp06d7GcsmPTI t5wEBQCAPPhohM969913Jbu++OKLDvXR0dGdO3c2L+Ar4db5yg6KHvlW4STW AADkwUcjtJOQkLBz586TJ0/m00anfAsAAACQbwEAAKAT8i0AAAB0Qr4FAACA Tsi3AAAA0An5FgAAADoh3wIAAEAn5FsAAADohHwLAAAAnZBvAQAAoBPyLQAA AHRCvgUAAIBOyLcAAADQCfkWAAAAOhnuxNMjAgAAAIqPQAsAAACdkG8BAACg E/ItAAAAdEK+BQAAgE7ItwAAANAJ+RYAAAA6Id8CAABAJ+RbAAAA6IR8CwAA AJ2QbwEAAKAT8i0AAAB0Qr4FAACATsi3AAAA0An5FgAAADoh3wIAAEAn5FsA AADohHwLAAAAnZBvvU1kpBEebityAwDgMbwdAz6LfOs9EhONHj2MgICrRe5K JQCgXPF2DPi44U48PSL/5fBuar6nAgDKFW/HgI8j0HqJyEgX76aq8JcxACg/ vB0Dvo986yXCw92+ocoiAEA54e0Y8H3kWy/BGyoAeAXejgHfR771EvxBDAC8 Am/HgO8j33oPftAAAF6Bt2PAx5FvvQcnpAEAr8DbMeDjyLfehhOKA4BX4O0Y 8FnkWwAAAOiEfAsAAACdkG8BAACgE/ItAAAAdEK+BQAAgE7ItwAAANAJ+RYA AAA6Id8CAABAJ+RbAAAA6IR8CwAAAJ2QbwEAAKAT8i0AAAB0MtyJp0cEAAAA FB+BFgAAADoh3wIAAEAn5FsAAADohHwLAAAAnZBvAQAAoBPyLQAAAHRCvgUA AIBOyLcAAADQCfkWAAAAOiHfAgAAQCfkWwAAAHi/nTt3zpw58/nnn581a9au XbvyaUm+BQAAgJcbPXp0YGBgwBVy+5VXXnHXmHwLAAAAb7Z69WrJtJUrVw4L C9u2bdvkyZOrVKkiNStWrHDZnnwLAAAAb/bkk09Kmn3qqafMmiFDhkjNwIED XbYn3wIAAMCbPfbYY5JmJ02aZNbMnj1banr16uWyPfkWAAAA3uyjjz6SNNus WbOTJ0/K3bi4uJtuuklq5s2b57I9+RYAAADeLD09fcSIERJog4KC2rdvHxwc LLfvv//+xMREl+3Jtyg7kZFGeLityA0AfoGXPYAykJqa+re//S0grwULFuTk 5LhsT75FWZD/TvXoYQQEXC1y183/sQBogZc9gDKjfl/2u9/97ocffkhMTJR/ 27ZtKzVDhgxx2X64G+U8bGjG4VPO/KwDoC1e9gDKhsViqVmzZqVKlY4dO2ZW njhxolq1alWqVElLS3NehSiLUhcZ6eJTThX+YgnoiZc9gDKzefPmgICAtm3b OtTfddddUr9u3TrnVci3KHXh4W4/6GQRAA3xsgdQZvbt2yc5tlatWtnZ2fb1 7dq1k/pNmzY5r0K+Ranjgw7wO7zsAZQZi8VSu3ZtibLTpk0zK5ctWyY1VatW TU5Odl6FfItSxx8qAb/Dyx5AWVJpVnTv3n3ixImPPfZYYGCg3H3vvfdctiff oizwQxPA7/CyB1CW/vWvfzVv3tw8OVjjxo0l9LprTL5FWeBEQYDf4WUPoOyd OXNm586dp0+fzr8Z+RZlhxO9A36Hlz0AL0C+BQAAgE7ItwAAANAJ+RYAAAA6 Id8CAABAJ+RbAAAA6IR8CwAAAJ2QbwEAAKAT8i0AAAB0Qr4FAACATsi3AAAA 0An5FgAAADoh3wIAAEAnw514ekQAAABA8RFoAQAAoBPyLQAAAHRCvgUAAIBO yLcAAADQCfkWAAAAOiHfAgAAQCfkWwAAAOiEfAsAAACdkG8BAACgE/ItAAAA dEK+BQAAgE7ItwAAANAJ+RYAAAA6Id8CAABAJ+RbAAAA6IR8CwAAAJ2QbwEA AKAT8i1QGJGRRni4rcgNoJRxeAFAqSLfAvlLTDR69DACAq4WuSuVQCng8AKA MjDciadHBHgXh/RhZhCgFHB4QV850Jqnj68CEGiBfERGukgfqvCXZJQUhxc0 ZUag7Cus0IK5Q70/5ZJvgXyEh7sNILIIKBEOL2jHPtZKHLJYLJm5Mq5Ihw8y d5/am7JbzazrtSmXfAvkgwCCMsThBb2Y4TYrK0uyUFpaWlJS0oULF86dO3f2 ijNnzsTBp5y1I7vy4sWLsltl58oulh3ttRGXfAvkgz8gowxxeEEjKuRYrdbM zMyUlBRJQZJsk5OT5a4Xhh8Uj+xfibWyW2Xnyi6WHS37Vyq9MOKSb4H88QMg lCEOL2hBfW2rwk9SUtL58+cl9nh6UChbsotlR8vulp2upit4VcQl3wL54wRO KEMcXvB95je3knMuXryYkJDg6RGh/Mjulp2uIq5XfYtLvgUKgxPwowxxeMGX qS9vMzMzExMTCbd+SHa67Ho5ALzqK1zyLQAAKB7zB2UpKSnnzp3z9HDgGbLr 5QAwf27m6eHYkG8BAEDxqJkJ6enpknAsFounhwPPkF0fHx8vh4GapeDp4diQ bwEAQDGo+ZZZWVnJycl8eevn5ACQw0AOBi+ZhUu+BQAAxaAmJ1gslosXL166 dMnTw4EnyQEgh4EcDF4yRYF8CwAAisGcnHDmzJmMjIwS9lbyHkyLFi1asGBB VFRUaXWIAsnuk8PAe6YokG8BAEAxmPn29OnT2dnZxejh8OHDEydO7NWrV/36 9QMDA1u3bv3EE0/MmzevhKfPrVKlSkBAwCuvvFKSTlAkcgDIYUC+BQAAPk1N vk1LSzt58mQxVv/666+vueaaAFc6dep06tSpYg+sPPPtRx99NG7cuLfffrsc tuXl5DCQg0FNwfX0WMi3AACgOMx8GxMTU9R1P/nkk8DAQJVmu3fvPmHChHfe eWfkyJEtWrRQlfXq1bt48WLxBlae+fa+++6TbbVq1aoctuXl5DAg3wIAAJ9m 5tvo6OgirWi1Whs3biyxsHLlyl988YX9otTU1L/85S8q4i5YsKB4AyPfeoQc BuRbAADg01S+lURa1Hx77NgxlWD79evnvDQlJaV27dpqloLz0uzs7BMnTmzf vj0mJkZyssv+88+3ycnJ+/fv37dvX1JSUv7jlG3Fxsbu2LEjn7OflTzfyuPd uXNngSdYMwdz+PDhy5cvl27PBT6lhSGHgRwM5FsAAOC7VL6VEPXrr78WacXd u3erfPvqq6+6bBAVFfXll19u3LjRvlK29dprr9WrV8+cpnvttddOnDhR6h1W d5dvJew98MAD9hN9u3Xr5vI0CxLzpk2b1rBhQ7Nl06ZNBw0aZJ8Vb7jhhuDg YLNBcK62bdvm/9ilB9Xygw8+WLduXWhoaIUKFVQP1113ncO32eYDnzJliv1g Klas+Oijjx45cqTkPRfyKS0MOQzUVczItwAAwEcVO99aLJaqVatKmpKIeObM mUKu9dxzz7n8MZpzknGZb//3v//VqlXLeXWpPHjwoEMP0qfLbUnK3bt3r2pz /fXXOzdo3bp1/o9CHq9q+de//jUkJMS5h8WLFzus8swzz7gcTLNmzU6fPl2S ngv/lBYG+RYAAPi6YudbYX6PKiHtvffeK/Bv6BEREar97bff/o9//OPQoUPL li2T26ryrbfesm/snG+lf8nSAbnffE6ZMmXbtm1RUVFTp05V33C2aNHCfgDT pk1T3d56660LFy6UYLxixQpzVvDNN9+smp08efLo0aNdunSRSsm6R3MVeNoH M4UG5H5Z+sEHH/wv14QJE9S3wfXq1UtLSzPbh4WFqcZ/+MMfJKDKA1+7du3Q oUNVZfv27c0raxS15yI9pYVBvgUAAL6uJPn29OnTbdq0MfOY5MzQ0NBRo0b9 61//slgsDo3Pnj0bFBSkAmdycrJZn5SUJGlTpVb7y0M459uRI0eqDX388cf2 PS9atEjVT548WdXExcWpmsaNG8t27Rs/9dRTatH3339vVhZ1/q2ZQqtWrbp9 +3b7RcOGDVOLdu3a5TCY5s2bX7hwwb7xiBEj1KJZs2YVo+eiPqWF4W351oGn RwQAAHxASfKtkRtxH3/8cZVF7dWtW1eC7vnz582Wa9euVYt+/PFHh04kD6tF O3bsMCud8+0f/vCHgNwTkTkP4/e//70sevDBBx06lBsOLRMTE6dMmSJJeMuW LWZlsfNtr169HBZt2rRJLTLnyq5Zs0bVbNiwwaFxZmamOgfFo48+Woyei/qU Foa35VtPDwEAAPieEuZbRULjBx988Kc//cn+V06ibdu25tTcqVOnqsovv/zy 27wWL16sFr3//vtmnw75VqKgatOxY8dvnVx33XWyqEGDBqrxpEmTVONCnn23 2PlWorLDoiNHjqhF5kRZydKqRp4l56569+4dkDu5ohg9F/UpLQzyLQAA8HWl km/t7d+/PywsrHr16ipf3XPPPaq+T58+AQV59tlnzX4c8q15uob8qTjds2fP gNwTDhRyzMXOt++++67DohMnTjik0AcffDAgd6aEy67Gjh1rH8WL1HNRn9LC IN8CAABfV+r5Vjl+/Pi1114r+apSpUrp6enGlcwpQl1R9dOmTTN7cMi3UVFR ZmZzuXrTpk3lhsq3f/rTn6SmYcOGhRxtOeRbd2G7JPm2qE9pYZBvAQCAryt2 vr106VJcXJzDr7fsTZw4UaWvbdu2mXcrVKig4m6BHPLt5cuX1XkSJk2aVOC6 5h/u4+PjC7OtMs235skTXM5PUFHceX5CYXou6lNaGORbAADg64qdb9Vv/4OD g91d+OzZZ59VeezAgQNy98svv7SPuwVy/n1Z+/btpaZHjx4Frrtu3Tq1rZUr VzosSktLmz9//ty5c/fv329WqnzbrFmzwgzMKGIKNX/qVaTflxWm56I+pYVB vgUAAL6u2Pl269atKlw99dRTzheEld7U/ISQkBB1vtZTp06p9vane1W++eab m3JJYDMrnfOteYkEh/ODyfj79esnq5unVoiPjw8MDAzI/cWZ/dUThHnW2e++ +86sVFMIRFxcXGEee5FSqAxA1TRv3tzh9275nB+sMD0X9SktDPItAADwdSWZ f2ue/LZDhw4rV648dOhQamrq3r17582bV7NmTbXo//7v/8z248ePV5VdunSR jCpbPHDgwPTp06tVqyaVskpSUpLZ2DnfxsTENGrUSP1FftKkSZs3b5YaCXJ3 3HGH6tY8/62YOXOmqmzXrt3ChQuPHj0qLc0z6EogtH8gzz//vKp/6KGHNmzY II3zf+BFSqGG3fkcQkNDlyxZcuTIERmMeXm1W2+91fn6DoXsuUhPaWGQbwEA gK8z8+3x48eLuq4E2ltuuSXAPcmN9hd6kG2ZVxBzIGnW/gtVw831effs2VOj Rg2XPTz44IOZmZn2jc3U6qBx48Y7d+60b/n999/bNyj89XkLmULFkCFDXA6m adOmLq/PW8iei/SUFoYcBuRbAADg01S+TUtLK0a+NXKnsw4bNqxOnTr2ySow MLBVq1aLFi1ybi9xd/z48XXr1jUbV6hQ4dFHH/35558dWqpvIMeOHetQHxkZ ee+999pvrlmzZpIGHcKtsFqt06ZNa9iwodmyfv36/fv3N0/Ja2/58uV33XWX atamTZv8H/W5c+dUy4ULFzosio2NVYs+/PBD+3p5ksPCwmQA9g98wIABhw8f LmHPhX9KC0MOg9TUVPItAADwXWa+jYmJKUk/J0+eXLNmjUSvLVu2OMwFdSbJ Uza3a9euY8eOydaLsbmkpKT9uRISEgrc1okTJ2Rbkg8L7DY5OfnixYtFvaZt 4ZmDOXjwoMTI0u25hE+pEh0dLQdDmeZbyfCff/75K6+8Mm7cuH/+85/Z2dnu WpJvAQBAMZRWvoUe5DAo03y7efPmBg0a2H/9HhoampKS4rIx+RYAABSDxBir 1Xr58uVTp06V5Hs/aCA7O/vkyZNyMMghURb5Nj4+vmrVqpJphw0btm3btvnz 5zdt2lTuPvfccy7bk28BAEAxmPk2NjZWncgLfis9PV3+m1N2+VZdkKJ3795m 5xs2bJCaa6+91uUsBfItAAAoBpVvMzIyzp49e+HCBU8PB54kB4AcBnIwlEW+ lQ5r1aoVFBRk//s+qfz666+3bt3qchXyLQAAKAYJGNnZ2ZmZmQkJCadOnfL0 cOBJcgDIYSAHgxwSpZ5v4+PjA3LPPCw97927d/78+XPmzMn/ymvkW8DfREYa 4eG2Ijd8mCYPA/Bt5ilwY2Ji0tPTPT0ceEZGRkZ0dHTZnfx29+7dkm979erl cMLeQYMGXb582eUq5FvAfyQmGj16GAEBV4vclUofo8nDAHSg8q0k2/j4+OKd BRcakF0vB4AcBmWUb9esWWNm2qFDh37xxRdTp04NCQmRu2PGjHG5CvkW8B8O qdDMhj5Gk4cBaCI7O9tisaSkpJw4cYJZCn5IdrrsejkA5DDI54S0JbF8+XIV bqdPn25WfvTRR+qCFC7PmUy+BfxEZKSLVKiKL/2FX5OHAejD/JVZQkLCsWPH CnMpBGjj9OnTstNl15fRL8uUrVu3qmvb2Z+mIykpqXLlylIfFRXlvMpwN8pi eAA8KDzcbTCURT5Dk4cBaEXNUrh8+fLFixePHz9+6NAhd2fdhzZkF8uOlt0t O112fZletiw6Olp9VSsR2r6+U6dOUr9x40bnVYiygJ/QJBhq8jAA3ZgRNyEh 4eTJkwcOHJDwExcXl5qaWkZ/s0b5k10pO1R2q+xc2cUnTpyQ3V3W4VZYLJaa NWtKlN21a5dZKVm3QYMGQUFBia5+f0G+BfyEJn/Y1+RhABqS8KMmKqSkpJw7 d07Cj6SgPXv27NixIyoqKjIycmuuH+FT1F6T3Sc7UXal7FDZrbJzZRfLjlbT EsrhvzDjx4+XfNulSxfzNB1vvfWWOmmYy/bkW8B/aPLDLE0eBqAhNRc3MzNT QoiEn8TExPPnz589ezYu1+nTp2Phg2THqT0ou1J2qOxW2bmyi2VHl92cWwcS pxs1aiSB9sYbbxw9evSAAQPkdrVq1Xbu3OmyPfkW8B+anFhLk4cBaMuaKysr S/JPRkaGBKG0K1Lhg8zdJ7tSdqjsVtm5ai+X53El6bpXr14VKlSQZBsUFNSx Y0eXM28V8i3gbzS5MIImDwPQlpquAC15cE715cuX9+7dW+D1oMm3AAAA0An5 FgAAADoh3wIAAEAn5FsAAADohHwLAAAAnZBvAQAAoBPyLQAAAHRCvgUAAIBO yLcAAADQCfkWAAAAOiHfAgAAQCfkWwAAAOiEfAsAAACdkG8BAACgk+FOPD0i AAAAoPgItAAAANAJ+RYAAAA6Id8CAABAJ+RbAAAA6IR8CwAAAJ2QbwEAAKAT 8i0AAAB0Qr4FAACATsi3AAAA0An5FgAAaCMnp/gF2iDfAgAADZgxNftKsWYX XMzGpFydkG8BAIBPs0+2ElktViMzt2Rk2Uq6m6KWqpayisq6pFw9kG8BAIDv MpNtVm6yleCaZjFSMo1LGUZSupGYWxIuGxftitxV9dJAmkljWUVWlNWz7FIu fBf5FgAA+Cgz3Kpke+qSMWOz8eBnRrsFxk3zClukce+lRviPttVVyiXi+jry LQAA8FFmuL1sMVb/Ytz2nnHj3OKXju/ZOpGuzIgLH0W+BfxOZKQRHm4rcsNn afEgAJSI+oo1K9v2pavkUgmobUpcpBPpSjqUbvkK13eRbwE/kpho9OhhBARc LXJXKn2KFg8CQCnIyf01WabViEk0OrxrtJ5TOkW6ik60dWvNdp1vY2Ji6jtp 0KBB06ZN27Zt26dPn2XLlmVnZ5f8AZ45c2br1q0l76cUFTiknJyce+65Jygo aNWqVeU2KmfkW8CPOORCMx36FC0eBICSMr+8TbMYb2w2Ws0pzTLtB1u37r7C PXLkSEBBbrzxxtWrV5fkAc6dO7dmzZovvfRSSTopXYUZUlhYmHoGli9fXm4D c0a+BfxFZKSLXKiK7/yNX4sHAaAUqJm3mVYjOcN44BOj5dvFKf3+Yaw/bPx0 1pj4XZ76+z+2dZvpZhaumW9bt279/BUSqAYOHHjnnXdWqVJFLa1YseLu3buL 9+iysrJUJ96TbwsckjSYMGGCmfA9nm8deHAwAMpQeLjbaCiLfIQWDwJAKVCT E9KzbOf7ajPXaBFRnCLJ1tRn6dX61nNs3UrnLqcomPl28ODBzgOLj49/9NFH VYObb745PT29GI/O5/Ltnj17OnToYP8NtsfzrQe3DqD8aBENtXgQAEqBmW/P pRrNZxenzNySp8NBK/IslW6Ll29FdnZ27969CwyoqampCQkJVqvVeVFh8m1O Ts758+fT0tLcP0m/ka0Ucj7wpUuXXI4n/yG98cYbFSpUUEsrVapEvgVQfrT4 074WDwJAKTAn38anGk3fKnK5c5Ht4g6mE0mODaRbcwqugwLzrYiNjQ0ODpY2 9erVs6+X9Dh79uzu3btfd911qpOqVat27dp1w4YNZpuxY8eGhoaqpbJ6586d H3/8cXPpjh07Bg4c2L59e1lRtWnevPmoUaOSkpIcxrBkyZIuXbpUr15dbaVD hw6S+s6dO+c82h9//LFPnz5NmjRRLWXrr732msViKeSQbr31VrVIhiEPhHwL oFxp8dMsLR4EgJIy8+2ZZKNJeJHLjzF5ehu43LGBdFuSfCt69uypmpmRMjo6 ulOnTgFuvPnmm6pZ3759HRa1bt1aLRo3blxgYKDL1SUwX7x40dz65MmTXTZr 0KDB9u3b7Z7GnAkTJgQFBTm37Nix4/HjxwsckpCwLQ127twpt//zn/+QbwGU Ky1OraXFgwD8VVSUERFhK3KjZFS+Tc004pKN62YVrYzZkKerd6NctJFupfOS 5Nvp06erZhL5VM2gQYNUzcCBA6Xy0KFDW7Zsee6551S8rFWrVkpKipE7l/Wr r75SLfv06bN27Vppprarwm2jRo0WLVp04MCB/fv3f/rppxI1VWPZosMI27Zt K6vLhlasWPHYY4+pyn79+pmD/Oyzz1RlvXr1Fi5cuG/fvm+//faRRx5RlXff fbdq5m5Iin2uJt8C8AwtLo2gxYMA/ElSkvHgg3n+a9q7t+H0J/XCM/Pt6UtG o5lFKDfNzTMzISbRVuPcTLpNKVm+lQiqmr333ntyNy4urmLFinK3V69eDi2H Dh2qWkZeeUdzOdn1b3/7m6qMyvu/g5iYGDUX4v7771c1ixcvVi03btxoNsvO zm7Xrp1UVqhQISEhwcidANy4cWMVrU+ePGnfp2xX9SDBOJ8hOSPfAgAAf+EQ bs2IW1wq30oEjb1kNHwzT7lxjvHYMtu/DvWqrPlfnn6kpctmsSXOt59//rlq Nn78eCM3hc6YMeOZZ55xvj7CJ5984hBHXYbJL7744pVXXnn55Zedt9WiRQtp fPvtt6u7S5cuVas/++yzGRkZZrOjR49u27bNnC+xcuVK1Wz27NkOHaakpISE hMiihx9+OJ8hOSPfAgAAvxAV5fanocWdqGCfb+vPuFravG37SlYkphv3f5hn kZSheS+5MH+bYwOzlDzfzpw5UzV75513nJcmJSXt2LFDguiLL77Ypk0b1fKb b75RSwsMk1ar9fjx49I+IiKiX79+lStXlsadO3dWS+Pj480ptTVr1uzfv//i xYvj4uIcOnnzzTfNBL7cScOGDWXRLbfcUsghKeRbAADgFyIi3OZbWVQs9vm2 7htXy7Tvr7aRiNt9ydVFrSJ+i76K3JYa+3XtS8nz7bBhw1SzdevWmZWbN28e MGBAo0aNAlwpMN8mJiZKKO3QoYN5Gi57Zr4Vq1atMk+woAQGBt52220LFizI ufKQhgwZ4nIY9qQT1Z58CwAAcFUZ59s6r18tL63L02xfnHHD7N8Wzf1vnkUP /yPPig6l5Pm2W7duqtnBgwdVjXntWlPTpk2ffPJJ83dn+efbEydOmGcVM8Pn nXfe+dprr9WpU8ch3wrZ7osvvti8eXOHjfbt21dddcL8HVmbNm1uci8zM9Pd kJyRbwEAgF8oy/kJpy8ZtabnKT8cz9Nyb5yt8qGleSrnRDqu5VBK+Puy/fv3 q9981a5dW82A/e6778xQKok0MjLy0qVLqnFERIRaZH7T6zJM3nHHHaryrrvu kvR47Ngx86oNNWvWlPrQ0FCXgzl8+PC8efPuu+8+89xia9asMXLPaqvuSoOC nm/yLQAAQF5l9vsyCaLXTMtTmoXbMq29j3bnqYlOsLVxWMuhlDDf3nPPPapN WFiYqnn55ZdVzcqVKx0am+dPULHTcBUmk5KS1JTaDh06yFL71WNjY1Xjjh07 qpqvvvpqzJgxI0aMcNjQ3LlzVcsXXnjByL0AhLq7ePFih5ZWq3X06NESgM1F 5FsAAIA8yub8YGkWWxCt8ZpjaTLLNvnWnb6fuVjFoUi3xbu+Q3x8vDmvNSQk 5Pz586q+f//+qtL+zLFi7969tWrVUotWrVp15dHlqO9apStVc+DAAdXm3nvv zfs85Mgw1KJ27dqpygEDBqgaCbr2jdevX6/qJ0+ebOSeTkGdsqxx48bml8mK +dOznj17uhuSS+RbAADgX0r7+g7q+mXVprood37gOuJGbHXd3qEU5vplkien XjFu3LhBgwZ17dq1Ro0aamlwcPDnn39urmVeUKx79+5qRm5SUpLkz3r16gVc sWTJErN9tWrVVPL84osv/v3vf2dkZKgsKpYuXZqamiqB8+eff37mmWfM1Zs0 aaLWlWypalq2bPnhhx+ePXtWKn/55Zf27dur+t27d6uWo0ePVjVt27aNjIy0 Wq0nT56cP3++OiFDQN4z6DoMyeV+Id8CAAAUj8ROa7Zx2WKcTTFCprouf/mn 41rHE4zGM922ty/SrXRuzTff5qNKlSrLli2zX+vUqVPqV2BKgwYN1ATdgNx5 s+rGyJEjzfbmbFtRqVKlrKysV1991b5/s7fq1atLjlWJWkVZib4PP/yw2Tgw MFDamHeffvppcyvJycmdO3d29ygkt9s/BOchOe8X8i0AAEDxmPk2PtWoOc2o MsV1Gbkmz1oPfuK2pX2p87qtW3f59tdff3WZBmvXrn3LLbf06NFj7ty5Fy5c cB7zzp07O3XqZL9K06ZNP/74Y1l06623BuR+NWo2Pnbs2E033WS2lFBtsVjC wsLUZReUypUrDxgwQJLz6tWrVc2iRYvU6mlpaRMmTDC/TFYpV2Lw+++/7zAq q9U6c+bMunXr2g9MNm3/5bO7ITk/xi1btqilztOMyxP5FgAA+ByVbzOyjIuX jXbzjcqT3ZaJG42Ey7by/Jr8mtkX6VC6lc5d5tuSDTtH4uh/crnMwA5OnDgh qdJ+cqwE1/37969fv/7gwYMuv0G1J9n10KFD0njz5s1JBc12PnPmzKZNmySg xsbG5rh/2M5D8kLkWwAA4HMkf2XnGJlWIyndGLXWqBhWmmXk17ZupXPZROnm W5QP8i0AAPBFkjwtViM109h/xnZGrwqTSqdIV9KhdCudE259FPkWAAD4IjVF IT13isK7UUaFMCN4UkmLdCJdSYfpZTA5AeVmuBNPjwgAAKBQsq98hXsm2XZJ supTjaCJxS+y+tz/2rpSX95mE259FoEWAAD4KPUVbqbVSM6w5dJtJ43BK40b 3jIqTjICJxS2VJ1stIkwhq42tp+ydZKSaeuQL299GvkWAAD4LjPipmYaF9KM 2EvGkQvGT2eNfXHGrlhjx6nfyna7YlbuPm1rJo1lFVlRVk8l3GqBfAsAAHya irgWq23SbEqmbfbsuVTbBRrikm2X2Y11U2SRNJBm0jjhsm1FWd1CuNUC+RYA AGhAcqlKuRlZtiJhNc1iK6mZLopaJCU967f2KtlKgQbItwAAQBvZOb/F1KIW fk2mE/ItAAAAdEK+BQAAgE7ItwAAANAJ+RYAAAA6Id8CAABAJ+RbAAAA+JD1 69ePHj36wIED7hqQbwEAAOAroqOja9asGRAQsHz5cndtyLcAAADwCdnZ2V27 dg3IRb4FAACAr5sxY0bAFeRbAAAA+LRdu3ZVrFixTZs2ffv2Jd8CAADAp6Wl pd14440VKlTYvn37wIEDybcAAADwaSNGjJBMO2XKFLlNvgVKR2SkER5uK3ID KFUcXACQv7Vr10qgDQ0NzcrKMsi3QMklJho9ehgBAVeL3JVKoMQ4uACgQPHx 8fXr1w8JCTl06JCqKUy+dam8hgx4PYf8YaYQoMQ4uACgQAMGDJA0279//41X 3H333VIzfvx4uZ2QkOC8ClEWyE9kpIv8oQp/S0bJcHABQGG0bNkywD2JuM6r kG+B/ISHu40gsggoAQ4uACiM6dOnv5BXq1atJNk+8MADcvvw4cPOq5BvgfwQ QVBmOLgAoHj4fRlQIvwJGWWGgwsAiod8C5QUPwFCmeHgAoBi+POf/yz59p// /Ke7BuRboACcwgllhoMLKHU5OcUv0Ab5FigUTsGPMsPBBZQKM6ZmXynW7IKL 2ZiUqxPyLQAA8Gn2yVYiq8VqZOaWjCxbSXdT1FLVUlZRWZeUqwfyLQAA8F1m ss3KTbYSXNMsRkqmcSnDSEo3EnNLwmXjol2Ru6peGkgzaSyryIqyepZdyoXv It8CAAAfZYZblWxPXTJmbDYe/Mxot8C4aV5hizTuvdQI/9G2ukq5RFxfR74F AAA+ygy3ly3G6l+M294zbpxb/NLxPVsn0pUZceGjyLcAAMAXqa9Ys7JtX7pK LpWA2qbERTqRrqRD6ZavcH0X+RYAAPiinNxfk2VajZhEo8O7Rus5pVOkq+hE W7fWbNf5NiYmpr6TBg0aNG3atG3btn369Fm2bFl2dnbJH+CZM2e2bt1a8n5K kbshbdmyZcCAAfLwq1at2qhRo27dur3++uvp6enlP0KFfAsAAHyO+eVtmsV4 Y7PRak5plmk/2Lp19xXukSNHAgpy4403rl69uiQPcO7cuTVr1nzppZdK0knp cjekwYMHu3wSbrjhhp9++skjQyXfAgAAn6Nm3mZajeQM44FPjJZvF6f0+4ex /rDx01lj4nd56u//2NZtpptZuGa+bd269fNXSKAaOHDgnXfeWaVKFbW0YsWK u3fvLt6jy8rKUp14T751N6R58+ap+jp16sycOfObb75ZunRp165dVeUtt9zi kW9xybcAAMDnqMkJ6Vm28321mWu0iChOkWRr6rP0an3rObZupXOXUxTMfDt4 8GDngcXHxz/66KOqwc0331y8dOcr+dZqtdaoUUMqa9WqderUKbM+Jyfn8ccf V+2XLFlS/qMl3wIAAJ9j5ttzqUbz2cUpM7fk6XDQijxLpdvi5VuRnZ3du3fv AgNqampqQkKCRETnRYXJt5Ihz58/n5aW5v5J+o1spZDzgS9duuRyPO6GtGPH DlU5ffp0h/YxMTFq0fPPP1+YTZcu8i0AAPA55uTb+FSj6VtFLncusl3cwXQi ybGBdGtOwXVQYL4VsbGxwcHB0qZevXr29ZIeZ8+e3b179+uuu051UrVq1a5d u27YsMFsM3bs2NDQULVUVu/cufPjjz9uLpVIOXDgwPbt28uKqk3z5s1HjRqV lJTkMIYlS5Z06dKlevXqaisdOnSQ1Hfu3Dnn0f744499+vRp0qSJailbf+21 1ywWS4FDWrdundTLY/n2228d+kxPT1ftH3roIXfPUtkh3wIAAJ9j5tszyUaT 8CKXH2Py9DZwuWMD6bYk+Vb07NlTNTMjZXR0dKdOnVz+FEu8+eabqlnfvn0d FrVu3VotGjduXGBgoMvVJWRevHjR3PrkyZNdNmvQoMH27dvtnsacCRMmBAUF Obfs2LHj8ePHCxySO//+979VyylTpuTfsiwMd1L+YwAAAP4gKsqIiLAVuVFC Kt+mZhpxycZ1s4pWxmzI09W7US7aSLfSeUny7fTp01Wz//znP6pm0KBBqmbg wIFSeejQoS1btjz33HMqXtaqVSslJUWa7dmz56uvvlIt+/Tps3btWmmmtqvC baNGjRYtWnTgwIH9+/d/+umnEjVVY3OSgDnCtm3byuqyoRUrVjz22GOqsl+/ fuYgP/vsM1VZr169hQsX7tu379tvv33kkUdU5d13362auRuSO9nZ2WaS37hx Y4F7s9QRaAEAQFlLSjIefNAICLhaevc2nP6iXgRmvj19yWg0swjlprl5ZibE JNpqnJtJtykly7cSQVWz9957T+7GxcVVrFhR7vbq1cuh5dChQ1XLyMhIVeNy suvf/vY3VRmV978HMTExai7E/fffr2oWL17snC0lc7Zr104qK1SokJCQYORO AG7cuLGK1idPnrTvU7arepBgnM+Q3HnhhRdU496ymz2BfAsAAMqaQ7g1I26x qXwrETT2ktHwzTzlxjnGY8ts/zrUq7Lmf3n6kZYum8WWON9+/vnnqtn48eON 3BQ6Y8aMZ555xvn6CJ988olDHHUZJr/44otXXnnl5Zdfdt5WixYtpPHtt9+u 7i5dulSt/uyzz2ZkZJjNjh49um3bNnO+xMqVK1Wz2bNnO3SYkpISEhIiix5+ +OF8huTSlClTVEuJzadPn86/cRkh3wIAgDIVFeUi3KpS7IkK9vm2/oyrpc3b tq9kRWK6cf+HeRZJGZr3kgvztzk2MEvJ8+3MmTNVs3feecd5aVJS0o4dOySI vvjii23atFEtv/nmG7W0wDBptVqPHz8u7SMiIvr161e5cmVp3LlzZ7U0Pj7e nFJbs2bN/v37L168OC4uzqGTN99800zgy500bNgwIPcEtoUckhrViBEjVLPq 1av/+OOP+Tw/ZYp8CwAAylREhNt8K4uKxz7f1n3japn2/dU2EnG7L7m6qFXE b9FXkdtSY7+ufSl5vh02bJhqtm7dOrNy8+bNAwYMaNSoUYArBebbxMRECaUd OnSoVKmS8+pmvhWrVq0yT7CgBAYG3nbbbQsWLMi58pCGDBnichj2pBPVvsB8 m5qa2qdPH9Wmdu3anr2yMPkWAACUqbLOt3Vev1peWpen2b4444bZvy2a+988 ix7+R54VHUrJ8223bt1Us4MHD6qasLAwh/TYtGnTJ5980vzdWf759sSJE+ZZ xczweeedd7722mt16tRxyLdCtvviiy82b97cYaN9+/ZVV50wf0fWpk2bm9zL zMx0NyTT2bNn//CHP6gGzZo1Mx+yp5BvAQBAmSrT+QmnLxm1pucpPxzP03Jv nK3yoaV5KudEOq7lUEr4+7L9+/er33zVrl1bzYD97rvvzFAqiTQyMvLSpUuq cUREhFpkftPrMkzecccdqvKuu+5avnz5sWPHzKs21KxZU+pDQ0NdDubw4cPz 5s277777zHOLrVmzxsg9q626Kw0Ker7zy7cSvNUEYHHbbbedOXOmwN7KGvkW AACUtbL7fZkE0Wum5SnNwm2Z1t5Hu/PURCfY2jis5VBKmG/vuece1SYsLEzV vPzyy6pm5cqVDo3N8yeo2Gm4CpNJSUlqSm2HDh1kqf3qsbGxqnHHjh1VzVdf fTVmzJgRI0Y4bGju3Lmq5QsvvGDkXgBC3V28eLFDS6vVOnr0aAnA5iJ3+fb8 +fMtW7Y0vxkuzPXUygH5FgAAlLUyOj9YmsUWRGu85liazLJNvnWn72cuVnEo 0m3xru8QHx9vzmsNCQmR+Kfq+/fvryodzhy7d+/eWrVqqUWrVq268uhy1Het 0pWqOXDggGpz77335n0ecmQYalG7du1U5YABA1SNBF37xuvXr1f1kydPNnJP p6BOWda4cWPzy2TF/OlZz5493Q1JMbf++OOPu7u2b/kj3wIAgPJR6td3UNcv qzbVRbnzA9cRN2Kr6/YOpTDXL5M8OfWKcePGDRo0qGvXrjVq1FBLg4ODP//8 c3Mt84Ji3bt3V9NTk5KSJH/Wq1cv4IolS5aY7atVq6aS5xdffPHvf/87IyND ZVGxdOnS1NRUCZw///zzM888Y67epEkTte7y5ctVTcuWLT/88MOzZ89K5S+/ /NK+fXtVv3v3btVy9OjRqqZt27aRkZESUE+ePDl//nx1QoaAvGfQdRiS1Gzd utWc8zB27NiprshoS7qzi458CwAAfI7ETmu2cdlinE0xQqa6Ln/5p+NaxxOM xjPdtrcv0q10bs033+ajSpUqy5Yts1/r1KlT6ldgSoMGDdQE3YDcebPqxsiR I8325mxbUalSpaysrFdffdW+f7O36tWrqxkC0qGKshJ9H374YbOxRFBpY959 +umnza0kJyd37tzZ3aOQdGr/EJyH9Pjjjxf4VDh84Vw+yLcAAMDnmPk2PtWo Oc2oMsV1Gbkmz1oPfuK2pX2p87qtW3f59tdff3UZ5GrXrn3LLbf06NFj7ty5 Fy5ccB7zzp07zavWKk2bNv34449l0a233hqQ+9Wo2fjYsWM33XST2VJCtcVi CQsLU5ddUCpXrjxgwABJzqtXr1Y1ixYtUqunpaVNmDDB/DJZpVyJwe+//77D qKxW68yZM+vWrWs/MNm0/ZfP7oZ02223FZhvzauqlSfyLQAA8Dkq32ZkGRcv G+3mG5Unuy0TNxoJl23l+TX5NbMv0qF0K527zLclG3aOxNH/5HKZgR2cOHFC UqX95FgJrvv371+/fv3BgwcdfmjmTLLroUOHpPHmzZuTCprufObMmU2bNm3Z siU2NjbH/cN2HpIXIt8CAACfI/krO8fItBpJ6caotUbFsNIsI7+2dSudyyZK N9+ifJBvAQCAL5LkabEaqZnG/jO2M3pVmFQ6RbqSDqVb6Zxw66PItwAAwBep KQrpuVMU3o0yKoQZwZNKWqQT6Uo6TC+DyQkoN+RbAADgo7KvfIV7Jtl2SbLq U42gicUvsvrc/9q6Ul/eZhNufRb5FgAA+Cj1FW6m1UjOsOXSbSeNwSuNG94y Kk4yAicUtlSdbLSJMIauNrafsnWSkmnrkC9vfRr5FmUoMtIID7cVuQHAD/Ci R/kzI25qpnEhzYi9ZBy5YPx01tgXZ+yKNXac+q1stytm5e7TtmbSWFaRFWX1 VMKtFsi3KBOJiUaPHnkuxCh3pRKApnjRw4NUxLVYbZNmUzJts2fPpdou0BCX bLvMbqybIoukgTSTxgmXbSvK6hbCrRaGO/H0iKAFh88589MOgKZ40cPjJJeq lJuRZSsSVtMstpKa6aKoRVLSs35rr5KtFGiAQIvSFxnp4nNOFf5mCeiIFz28 R3bObzG1qIVfk+mEfIvSFx7u9qNOFgHQDi96AF6FfIvSx0cd4Gd40QPwKuRb lD7+VAn4GV70ALwK+RZlgp+aAH6GFz0A70G+RZngVEGAn+FFD8B7kG9RhjjV O+BneNED8AbkWwAAAOiEfAsAAACdkG8BAACgE/ItAAAAdEK+BQAAgE7ItwAA ANAJ+RYAAAA6Id8CAABAJ+RbAAAA6IR8CwAAAJ2QbwEAAKAT8i0AAAB0MtyJ p0cEAAAAFB+BFgAAADoh3wIAAEAn5FsAAADohHwLAAAAnZBvAQAAoBPyLQAA AHRCvgUAAIBOyLcAAADQCfkWAAAAOiHfAgAAQCfkWwAAAOiEfAsAAADvt2XL lpkzZz7//POvv/76N998k09L8i0AAAC8mcVieeihhwLy6tatW1JSksv25FsA AAB4szFjxkigrV+//sSJE7dt2zZjxozrr79eav7617+6bE++BQAAgNfKycmp V6+epNnFixeblatWrZKaSpUqWSwW51XItwAAAPBap0+fvvnmmxs2bGg/G8Fq tVauXFki7q+//uq8CvkWAAAAvmXfvn0SbqtWrZqVleW8lHzrdSIjjfBwW5Eb AAAP4c0Y8FoWi+Wuu+6SfPvEE0+4bEC+9SKJiUaPHkZAwNUid6USAFCOeDMG vJnVah04cKCE27p16547d85lG/KtF3F4PzXfVQEA5Yg3Y8BrpaWl9enTR8Jt 9erVt27d6q4Z+dZbREa6eD9Vhb+NAUB54c0Y8FoXLlzo1KmT+uY2Kioqn5bD 3Si3oeI34eFu31JlEQCgXPBmDHgndRYFCbetWrU6evRo/o2Jst6Ct1QA8AK8 GQNeSMLtDTfcIOH2jjvuuHDhQoHtybfegj+JAYAX4M0Y8EKPPPKIhNs//vGP ly9fLkx78q0X4ScNAOAFeDMGvMrWrVsDcgUHB9d1cvDgQedVyLdehFPSAIAX 4M0Y8CoREREB7h04cMB5FfKt1+GU4gDgBXgzBnwX+RYAAAA6Id8CAABAJ+Rb AAAA6IR8CwAAAJ2QbwEAAKAT8i0AAAB0Qr4FAACATsi3AAAA0An5FgAAADoh 3wIAAEAn5FsAAADohHwLAAAAnZBvAQAAoBPyLQAAAHQy3ImnRwQAAAAUH4EW AAAAOiHfAgAAQCfkWwAAAOiEfAsAAACdkG8BAACgE/ItAAAAdEK+BQAAgE7I twAAANAJ+RYAAAA6Id8CAABAJ+RbAAAA6IR8CwAAAJ2QbwEAAKAT8i0AAAB0 Qr4FAACATrTKt5GRRni4rcgNAAD8Hh+M8E+a5NvERKNHDyMg4GqRu1IJAIBf 4oMR/kyTfOvwGjZfyQAA+CU+GOHPdMi3kZEuXsOq8PcYAID/4YMRfm64E0+P qOjCw92+jGURAAB+hg9G+DmfDLQOeBkDAGCHD0b4OR3yLX+GAQDADh+M8HM6 5FuDafQAAOTBByP8mSb5ltOgAABghw9G+DNN8q3CaawBALDDByP8k1b5FgAA AH6PfAsAAACdkG8BAACgE/ItAAAAdEK+BQAAgE7ItwAAANAJ+RYAAAA6Id8C AABAJ+RbAAAA6IR8CwAAAJ2QbwEAAKAT8i0AAAB0Qr4FAACATsi3AAAA0Mlw J54eEQAAAFB8BFoAAADohHwLAAAAnZBvAQAAoBPyLQAAAHRCvgUAAIBOyLcA AADQCfkWAAAAOiHfAgAAQCfkWwAAAOiEfAsAAACdkG8BAACgE/ItAAAAdEK+ 9U7sF2/DHvFO7Bdvwx7xTuwX+BuOee/EfvE27BHvxH7xNuwR78R+gb/hmPdO 7Bdvwx7xTuwXb8Me8U7sF/gbjnnvxH7xNuwR78R+8TbsEe/EfoG/KZ9jnq2w FV/fih6Pgq2wFV4pbAXwBzq9stgKW/Hd/tkKW9FjK3o8CrYC+DqdXllsha34 bv9sha3osRU9HgVbAbzTcAAAgCLydH4BSgcHMwAAAHRCvgUAAIBOyLcAAADQ CfkWAAAAOiHfAgAAQCfkWwAAAOiEfAsAAACdkG8BAAAAAAAAAMhfYmLi4sWL x4wZ89JLL73//vtxcXGeHhGuSk9PHzdu3FtvveXpgcBm69ats2fPHjlypOyR X3/91dPDgXH58uWPPvrolVxyQ+56ekR+bcWKFUOHDnW5F3755Zc33nhDXjsL Fy48fPhw+Y8NgF9Zv379tddeG2CnRo0aS5cu9fS48JtRo0bJTvnd737n6YH4 O/mPxuDBg+1fKZUrV/7kk088PS6/9vPPPzdv3tx+p7Ro0UIqPT0uPxUZGVmp UiXZCwkJCQ6LPv300+DgYHM3VaxYcdmyZR4ZJAB/cPr06dq1a8u7Tc+ePeX/ 3WvXrn3kkUfUB7f8X9vTo4Px7bffBgYGkm+9wejRo2VHNGnSRP73t3nz5j// +c9yt0qVKtHR0Z4emv+69dZbZS/88Y9/XL169VdffXXHHXfI3Xbt2uXk5Hh6 aH5nw4YN9evXV/HVId/GxcXVqlVLMu0777zz008/zZo1S7JuUFDQnj17PDVa AHqTdxv1kW3/cSCfDlI5depUDw4M4sKFC40aNVKfF+Rbz5LP6+rVq1eoUCEy MtKs7NKli+yauXPnenBg/uz48ePy/EtMMieKyP815K5U8ufv8iSvjqefftr+ W3SHfPvEE09I5YQJE8yaSZMmSc2QIUPKfbAA/EJYWJiE28mTJ9tXTp8+Xd55 /vrXv3pqVFD69+8vO+LVV18l33rcnDlzZC+MGDHCvvJ///vfxo0bY2NjPTUq P3fw4EH1x6a0tDRVY7FY1B+ktm/f7tmx+RX16ggJCfn73/+uZrvZ59vs7Owa NWpI5aFDh8zKo0ePqlWsVqsnhgzAHz300EPyzvPGG294eiB+bcmSJbIX+vbt Kx8K5FuPk2Qre+HLL7+UD+6vvvpK/g+4fPnyCxcueHpc/q5Zs2ayX2bMmCEx SXLUvHnz5G7dunXltqeH5kc+/PDDF154Qf1HzznfHjlyRGquueYah7Xq1KnD N+0Ays0333wj7zkVKlT46aefPD0W/3Xs2LHq1avXq1cvPj5e3v/Jtx7Xp08f 2QsLFixQXw8qDRo02Lhxo6eH5te2bNnStGlT2RcNGza8/vrrVY76/PPPPT0u /+Wcb6OioqSmZcuWDi1btWol9Vu3bi3fAQLwR9u3b5dYJe85DjMWUJ6sVqua 2Pmvf/1L7pJvvUHHjh1Vpm3evPm777776aef3n333SpNcT49D/r2229VTDLJ nuIXfx7knG83bdqk9otDy9DQUKnnf4gAytr69etVuH3kkUeysrI8PRz/NXXq VNkLzzzzjLpLvvUG8vzLXqhfv745JyE7O7tFixZSOWbMGM+OzW/JS6NChQqy CyZOnBgbG3vq1KmwsLDAwMAaNWpwijBPcc63kZGRUvP73//eoWX79u2l/ocf fijX8QHwMx9++KH6pBg8eDDh1oP27NkjOyIoKGjVqlUbc/3973+X/XL99dfL 7V27dnl6gH7qvvvuk70wduxY+0q5q86t56lR+blZs2Y5/wb/hRde4C9QHuSc b6Ojo6WmWbNmDi2bNGki9ZwiDEDZmTNnjjrJKucE87jPPvsswL3bb7/d0wP0 U0899ZTzC2T9+vXsFA/q1q2bPP8rVqywr/z++++lMjQ01FOj8nPO+TYjI0Nq qlWrZv+jP6vVGhISIvXx8fGeGCYA/c2cOTMg92oyn376qafHAmPXrl0v5DVo 0CA1z1Nuc6pVT1Evkz/96U/2ler00S+//LKnRuXn1Jle3n77bfvKVatWSWXX rl09NSo/55xvRcuWLaVy06ZNZs13332nZrOX+wAB+IV9+/YFBwcHBgauXr3a 02OBa8y/9QYXLlyoXr26vFIkPpk16pf7X375pWfH5rdmz56tMtLJkydVTWpq 6m233SaVkyZN8uzY/JbLfKtOkNuzZ0+LxWLknqb4gQcekJqIiAgPDROA5tSs QnXGSAdPP/20p0cHG/Ktl3j99dfV1QQGDBjw6quvqtmDTzzxBJeC9ZTMzEx1 fd6GDRsOGzZszJgx6hd/LVu2TElJ8fTo/JTLfCu7Q126NzQ0dOzYserMCZ06 deI0xQDKiLqsjEv9+/f39Ohgo86O3rZtW08PBMbHH39cr1499QKRz/EhQ4ZI xPL0oPzahQsXBg8eHBwcrHZKUFCQ/I/jzJkznh6X/1IvkKSkJIf66Ojozp07 m58vEm65sgMAAN4jJibm559/5qsn75GRkfFTrvT0dE+PBflJSEjYuXOnOZ8E AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIDy9P9A /yJM "], {{0, 232.}, {464., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{464., 232.}, PlotRange->{{0, 464.}, {0, 232.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.763963607260957*^9, 3.7639636265424075`*^9}, 3.7639645786808276`*^9, {3.763964631545293*^9, 3.7639646347985725`*^9}, 3.7639672360824428`*^9, 3.7639697116277065`*^9, 3.7639703371953707`*^9, 3.7639756538137608`*^9, 3.7639773971452303`*^9, {3.7639839534631853`*^9, 3.7639839548325834`*^9}, 3.7645005226440845`*^9}, CellLabel->"Out[9]=", CellID->42223165] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->743763931], Cell[TextData[{ "Use it with ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Plot", "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/Plot"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7639640813328514`*^9, 3.7639640943826084`*^9}, { 3.7652979886264677`*^9, 3.7652979886264677`*^9}}, CellID->64257555], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{ RowBox[{"HoldForm", "[", "x", "]"}], "\[Rule]", "x"}], ",", RowBox[{ RowBox[{"HoldForm", "[", SuperscriptBox["x", "2"], "]"}], "\[Rule]", SuperscriptBox["x", "2"]}], ",", RowBox[{ RowBox[{"HoldForm", "[", RowBox[{"Sin", "[", "x", "]"}], "]"}], "\[Rule]", RowBox[{"Sin", "[", "x", "]"}]}]}], " ", "|>"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "Pi"}], "}"}]}], "]"}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7639636485116463`*^9, 3.763963699072749*^9}, { 3.7639637336517544`*^9, 3.7639637507220993`*^9}, {3.76396404064268*^9, 3.763964061033145*^9}, {3.763967276544058*^9, 3.7639673339759717`*^9}}, CellLabel->"In[10]:=", CellID->454517111], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzs3Qd8FGX+x3Gaf4XzPL2z4OGppwgcNvSUs3AqeCJiwVM4G4oFseMpNkQF ERVBpCgcqAkdaRIhNKlCgAQIHemS3utme5md/7OZMJlsks1ustnZ3Xzer+d1 r2T2mSe/7O7r/DL57TN/ffb1hwa1aNas2ZAzxP889My73d9885mhD58tvuk3 eMhLLwx+fuA9g996/oXn37zp2Zbi4I7mzZpNEl94vpYBAAAAAAAAAPoZpKF3 LQAAAEDNCKsAAAAIf6RWAAAAhD9SKwAAAELGYDDMrl16enptJ5JaAQAAEDIH Dx5sVrtFixbVdiKpFQAAACGTl5f3RjU33HCDiKxnnnnmsWPHajuR1AoAAAAd lZaWXnTRRSK1LlmyxMc0UisAAAB09PTTT4vI+uyzz/qeRmoFAACAXuLj40Vk PffccwsLC33PJLUCAABALx07dhSpdezYsXXOJLUCAABAF5s2bRKRtXXr1kVF RXVOJrUCAABAF/379xep9ZlnnvFn8qBaNHaRAAAAaMqKi4vPOOMMkVqTk5P9 mU9ABQAAQOh98803IrL+4x//8HM+qRUAAACh9+STT4rU+vnnn/s5n9QKAACA 0Pv73/8uUmt8fLyf80mtAAAACDG32/273/1OpNaUlBQ/TyG1AgAAIMQyMzNF ZD3zzDNFfPXzFFIrAAAAwh+pFQAAAOGP1AoAAIDwR2oFAIQ5yWnRuwQA+iO1 AgDCmfHo4qwF3W15e/QuBIDOSK0AgLDlKE1Jn3FN2vft02I6iviqdzkA9DRI Q+9aAACo5HbZc+L6eCLr9+3Tp1/pKDmud0UA9ERYBQCEp+Kkz5TIKobx8A96 lwNAZ6RWAEAYsmRsViNr/tqX9S4HgP5IrQCAcOOyFGbMvUmJrJk/dJNspXpX BEB/pFYAQFhxu915q589daH1Cmv2dr0rAhAWSK0AgLBiOBCr9gaUJI/XuxwA 4YLUCgAIH/bCX9NiOyuRNWdZP7fk0rsiAOGC1AoACBOS05K1qGfFVlczuzjL MvWuCEAYIbUCAMJE4eaham+A6bflepcDILyQWgEA4cB8cqUaWQs3v6d3OQDC DqkVAKA7pzErfdZ1SmTNWvgvyWHWuyIAYYfUCgDQl1ty5cY/UnGhNfZv9oKD elcEIBwN0tC7FgBAU1Sya6LaG2DYH6N3OQDCFGEVAKAja87OtJgOSmTNW/W0 2+3WuyIAYYrUCgDQi2Qrzfzhn0pkzZjzD5elQO+KAIQvUisAQC/5a19WewMs GZv0LgdAWCO1AgB0UfbrLDWyFid9qnc5AMIdqRUAEHr2goOVd2796UG3y653 RQDCHakVABBikt2YtfDOyju3GtL0rghABCC1AgBCrGDDG5o7t67QuxwAkYHU CgAIJeORBWpkLdryod7lAIgYpFYAQMjYi4+lT79KiazZP97rdtr0rghAxODe WACA0JCcluzFvSraWWdc7Sg5oXdFACIJYRUAEBqFm99TewOMx5boXQ6ACENq BQCEgOnEUjWyFv7ytt7lAIg8pFYAQGNzlKakz7xWiaxZi3pKDrPeFQGIPKRW AECjcrts2XEPVFxond7ZXnRY74oARCRSKwCgURVtHa72BpQdnqd3OQAiFakV ANB4zCmr1chasP41vcsBEMFIrQCARuIsy0ifdV1FO+uC7pK9TO+KAEQwUisA oDG4JUfO0ocrLrTG/s2Wv1/vigBENlIrAKAxFG//XO0NMByI1bscABGP1AoA CDpL+kY1suav4T80AIKA1AoACC6nKTtj9o1KZM38oZvLVqJ3RQCiwSANvWsB AEQ8Tzvrsr4VF1pjOtpyd+ldEYAoQVgFAARRceKoynbWfdP0LgdA9CC1AgCC xZzysxpZ835+3u12610RgOhBagUABIXDkJo+s0tFO+v82yVbqd4VAQhr+fn5 8+bNe+utt957772FCxdKkuR7PqkVANBwbqctO+4Bze6s+/SuCEBY27Rp0wUX XNBM48YbbzQajT5OIbUCABquMOF9tTeg7NfZepcDIKzl5eW1bt1aJNXnn38+ MTFx0qRJF198sfj2xRdf9HEWqRUA0ECm43FqZC1YP1jvcgCEu2HDhomMeu+9 96rd76tXrxZH/vSnP/noEyC1AgAawlF8LH3G1UpkzVr4L8nu6w98ACCS6tln n92iRYucnBztwfj4+C1btvg4kdQKAKg3yWHOWnS3ElnTp19pLzqid0UAwl1e Xl6zZs2uvfZakVT37NkzadKk8ePHJyYm1nkiqRUAUG8FG99UewOMRxfrXQ6A CLBr1y6RWu+5557+/ftrP431xBNPWCwWHyeSWgEA9VN2eJ4aWQs3v6d3OQAi w7Jly9SkOnDgwPnz548YMaJNmzbi23feecfHiaRWAEA92AsOpsV2ViJr9o/3 Sk6r3hUBiAwLFixQIusnn3yiHpw+fbo40qpVK4PBUNuJg2oRkqoBABFJspdl Lehe0c4681pH6Um9KwIQMbZs2SICavPmzc1ms3qwtLT09NNPF8eTkpJqO5GA CgAIVP7aF9XeAPPJlXqXAyCSpKSkKJdVXS6X9njXrl3F8TVr1tR2IqkVABAQ w/4YNbIWbftY73IARBiHw3HWWWeJgJqcnKweFAn2ggsuaNGiRUlJSW0nkloB AP6z5e5Ki+moRNacnx5yu+x6VwQg8gwdOlSk1ptuuslqrWiJHzt2rLIdlo+z SK0AAD+5rEWZ87opkTVj1t+dZZl6VwQgIuXn51944YUipnbs2HHIkCEPP/yw +Pp3v/vdzp07fZxFagUA+MPtlvJWPa32BljSNuhdEYAIlpube88997Rq1Urk 1RYtWlx//fU+OloVpFYAgD9Kd01UI2vJjrF6lwMgGlgslj179hQWFvozmdQK AKiTJf2XtO+vUCJr7vLH3JKr7nMAIKhIrQAA35xl6Rmzrq9oZ517k8ucp3dF AJoiUisAwAe305Yd90BFb0BMR2vODr0rAtBEkVoBAD4UbnpXbWc1HIjVuxwA TRepFQBQm7LD89TIWrB+sN7lAGjSBmnoXQsAIIzY8velxXZWImv24l6Sw1z3 OQDQaAirAIDqPDcU+KHihgLpM7s4Sk/qXRGApo7UCgDw4pZceSufUnsDzCk/ 610RAJBaAQDeSnaM1dxQYIze5QCAB6kVAKBlTl2rRtbcFf25oQCAMEFqBQCo HKUp6TO7KJE1c143l8Wv2ywCQAiQWgEACslhzv7xnooLrbF/s+Xt0bsiAKhE agUAKAo2/FftDSg7NFfvcgCgClIrAEAoOzhDjayFv7ytdzkA4I3UCgCw5San xXSquKHAkvslp1XvigDAG6kVAJo4lzk/Y+7NSmTNmHW905Cmd0UAUANSKwA0 ZW7JkRv/qNobYEnfqHdFAFCzQRp61wIACLWircMrbyiwa6Le5QBArQirANBk GY8sVCNr3urn3G5J74oAoFakVgBommz5e9NiOyuRNWvhnZLNoHdFAOALqRUA miCXpSBz3q1KZE2fcY2j+JjeFQFAHUitANDUlH8C6xG1N8Cc8rPeFQFA3Uit ANDUFG35sPITWMnj9S4HAPxCagWAJsV4ZEHlJ7B+ft7tdutdEQD4hdQKAE2H LW93WuzfTn0C61+SvUzvigDAX6RWAGgiXOa8zHm3VHwCa+a1jpLjelcEAAEg tQJAU+B22XOW9av8BFbqWr0rAoDAcG8sAGgKihKGcQ8sABGNsAoAUc94+Ac1 suavGcQnsABEIlIrAEQ3W+6uyk9gLerJJ7AARChSKwBEMacpN2Puzac+gdXF UfKb3hUBQD2RWgEgWnk+gbW0b+UnsNLW6V0RANQfqRUAolXh5qFqZC3dPUnv cgCgQUitABCVyn6dXfkJrLUv8gksAJGO1AoA0cealZgW0/HUJ7DuluxGvSsC gIYitQJAlHEYUjNm/b3iE1izrnOUpuhdEVDJjajWqG8eUisARBPJbsxa3Kui NyCmgyVjs94VARXUYCOd4kJUUF/Qxs6upFYAiBoiDuT9/Lzazlp2cIbeFQEe 2rAqQo7D4bCXs51iRQRSXz7l1RQvq5pgGym7kloBIGoUbx+tRtbCzUP1Lgfw UCOr0+kUCcdsNpeWlhYWFubn5+eekpOTk42IkqshXsqioiLxsooXV7zE4oVu pOA6SCO4KwMAQsl0PE6NrLnxj7hddr0rAioiq8vlstvtRqNRZBuRV8vKysS3 jd0DiZARr68Iq+JlFS+ueInFCy1eX3Ew6MGVsAoAUcCWtycttrMSWTPn3+ay FOpdESArl1iVSFNaWlpQUCDCjN5FoXGJl1i80OLlFi+60jAQxOBKagWASOc0 5VTetnXG1faiw3pXBFReZRXppaioqLi4WO+KEDri5RYvuhJcg3jFldQKABFN clpz4vpU3rY15We9KwI8lAutdru9pKSEyNoEiRddvPTiDVDb5dbExMS51axb 5+vG06RWAIhoBesHa27b+o3e5QAe6sevjEZjfn6+3uVAH+KlF28A9cNZXo/e cccdzarp1q2bjwVJrQAQuURMVSOriK96lwNUUHoDrFaryC0Oh0PvcqAP8dLn 5eWJt4HSJ+D16Nlnny1i6uuvv/5fjW++8fVPb1IrAEQoc8oaNbLmxPWRnFa9 KwI8lD5Gp9NZVlbGhdYmTrwBxNtAvBm8ultTUlJEZL388ssDWo3UCgCRyF50 OH3GNUpkzZh7k9OUrXdFQAWlPcDhcBQVFRkMBr3LgZ7EG0C8DcSbwatJIC4u TqTW//znPwGtRmoFgIjjshRmzr+t4kJrbGdb3m69KwIqqe0BOTk5Nputgas1 fAXVt99++8033yQlJQVrQdRJvHzibVC9SWD48OEitb7xxhsjRox46KGHBgwY IF6aOl9rUisARBa35MiNf1TtDTAdi9O7IqAKNbVmZWVJklSPFY4ePTps2LB7 7rnn/PPPb968+RVXXPHoo49OnDixgdu9nnHGGSIpvfXWWw1ZBAERbwDxNqie Wvv06VP9o1idO3c+efKkj9VIrQAQWQo3D1Uja/H2L/QuB/CmNLWazeb09PR6 nB4fH/+HP/yheqQRunbtmpGRUe/CQplap0+f/t5773311Vch+FlhTrwNxJtB aW1VD1588cXitbjqqquWLFly4sSJRYsWKUfuuOMOH5u7kloBIIKUHZyhRta8 nwe63fW5kAU0KjW1pqamBnruzJkzmzdvrmTUO++88/333//6669feeWVv/71 r8rB8847r6ioqH6FhTK1/utf/xI/q3379iH4WWFOvA2qp9aVK1dOmTJF+1Ie OHCgVatW4knbvbvWlqdBtWjcXwAAEDhLxqa0mA5KZM1a3Euyl+ldEVADNbWm pKQEdKLL5frzn/8scsvpp58+f/587UMmk6l///5KcPW9OZIPpFZdiLdB9dRa o65du4onbdasWbVNIKACQESwFx1Nn9mlYtOAWX93GAK+igWEhpJaRc4MNLWe OHFCyaV9+vSp/qjRaDznnHOUPoHqj0qSlJaWtn379tTUVJF+a1zfd2otKyvb t2/f3r17S0tLfdcpflZmZuaOHTt87OvV8NQqft+dO3fWuXWYWszRo0ctFktw V67zKfWHeBuIN4NXahU1ZGd773yiPGmxsbG1LUVqBYDw57IUVG4aENPJms2H oBG+lNQqYslvv/0W0Im7du1SUuvbb79d44SkpKS4uLg1a9ZoD4qf9fHHH593 3nlq++uf/vSnYcOGieNep9eWWkWE69mzp7aBtnv37jVuNSDC28iRI9u2bavO vPjii5944gltArzssstatmypTmhZ7sorr/T9u4sVlJnTpk1bsWLFjTfeqPy5 XGjXrp3XlWf1Fx8+fLi2mNNOO61fv37Hjh1r+Mp+PqX+EG8D5Q5ZamrdvXu3 Uq2289lut19wwQXi+LZt22pbitQKAGHO7bTlLO2rtrMajyzUuyLAl3qnVofD 0bp1a5FbRPDLycnx86wXX3yxxo9uVU84NabWw4cPKzdp8iIOHjp0yGsFsWaN P0tk1z179ihzLrroouoTrrjiCt+/hfh9lZlPPvlkmzZtqq/w3XffeZ3y3HPP 1VjMJZdckpWV1ZCV/X9K/VE9tYrwr1w2f/XVV9Vp7733njjSqVMnH9mY1AoA 4Uz8/3zB+sFqZC3ZMUbvioA61Du1Cuo1TxG9pkyZUudfsceNG6fMv+WWW+bO nXvkyJEffvhBfK0cHDt2rHZy9dQq1hcJuVn5db/hw4cnJiYmJSWNGDFCuRr5 17/+VVvAyJEjlWWvueaaqVOniri7aNEitdu2c+fOyrT09PTjx4/fdNNN4qBI sMfL1bn1gZotm5Vf2Jw2bdrhcu+//75y5fa8884zm83q/A8//FCZfMMNN4jY KX7x5cuXDxw4UDl47bXXqvd3CHTlgJ5Sf1RPrcKMGTOUBa+66qp33nmne/fu 4mvxb5Z169b5WIrUCgDhrCT5KzWy5q99uc6PMwC6a0hqzcrK6tChg5qyRHq8 8cYbBw8evHTpUofD4TU5Nze3RYsWSowsK6v8cGJpaanIkEoW1W5cXz21vvLK K8oPEiFKu/K3336rHP/oo4+UI9nZ2cqRP//5z+LnaicPGDBAeWjDhg3qwUD7 WtVsKZLb9u3btQ89//zzykPJyclexVx66aWFhYXayS+99JLy0BdffFGPlQN9 Sv1RY2oVZs+erXz4TmjevLlI2ur16tqQWgEgbJmOxamRNeenByWnXx+1APTV kNQqlwfXRx55REmYWueee66IrwUFBerM5cuXKw8lJCR4LSJSrvLQjh071IPV U+sNN9zQrHyLreplXHfddeKh3r17ey0ovvCaWVJSMnz4cJFvN2/erB6sd2q9 5557vB5av3698pDag7ps2TLlyOrVq70m2+12JQr269evHisH+pT6o7bUKpe/ VdLS0kRm9vPOv6RWAAhP1pydabF/UyJr5rxuLnOe3hUBfmlgalWIKDht2rT7 7rtP+5kg4corr1RbXkeMGKEcjIuL+7mq7777Tnnof//7n7qmV2oVAU+Zc/31 1/9cTbt27cRDF1xwgTL5gw8+UCb7uVtsvVOrCMBeDx07dkx5SG1AFQlZOSKe pepL3Xvvvc3K2xvqsXKgT6k/fKTWQJFaASAMOQypGbNvVCJr+oxr7IXenwoB wlZQUqvWvn37PvzwwzPPPFNJTXfccYdy/P77729WlxdeeEFdxyu1qlsW+KaE 5F69ejUr/9C9nzXXO7VOnjzZ66G0tDSvbNm7d+9m5b0KNS717rvvagN2QCsH +pT6g9QKAFFMshmyFvU81RtwhSVtvd4VAQEIempVnDx58k9/+pNITf/3f/9n tVrlU0lSuLEmyvGRI0eqK3il1qSkJDWJ1Xj6xRdfLL5QUut9990njrRt29bP akOQWmuL0A1JrYE+pf4gtQJAtHJLztyVT6rtrIYDtW64DYSneqdWg8GQnZ3t 9VknrWHDhimZKjExUf22VatWSoitk1dqtVgsyl4BH3zwQZ3nqn86z8vzq1en UVOruoFAjR0CSsCu3iHgz8qBPqX+ILUCQLQqTHhfjaxFWz7UuxwgYPVOrcrn 31u2bFnbTbVeeOEFJWXt379ffBsXF6cNsXWq/mmsa6+9Vhy5++676zx3xYoV ys9avHix10Nms3nSpEkTJkzYt2+felBJrZdccok/hckBZkv1g1EBfRrLn5UD fUr9EdzUqgpKbQCAejPs+06NrHkrB7il+tyJBtBXvVPrli1blMg0YMCA6rcQ FaspHQJt2rRR9hfNyMhQ5mu3J1WsWrWqUzkRw9SD1VOrulG/185Xov4+ffqI 09XtBfLy8po3b96s/PNZ2j38BXWX1LVr16oHlT/iC9XvW1qjgLKlKEA5cuml l3p9OszHzlf+rBzoU+oPrrUCQPQxp65N+/4KJbJmLe4l2cvqPgcIPw3pa1U3 a+3SpcvixYuPHDliMpn27NkzceLEs846S3no9ddfV+cPHTpUOXjTTTeJ5Cl+ 4v79+z/55JPf/e534qA4pbS0VJ1cPbWmpqZeeOGFyt/EP/jgg02bNokjIp7d euutyrLqfq3C6NGjlYNXX3311KlTjx8/LmaqO76KmKf9RV5++WXl+IMPPrh6 9Wox2fcvHlC2lDV7Gtx4440xMTHHjh0Txai37rrmmmuq32XAz5UDekr9QWoF gChjLziYPuNqJbJmzOnqLEuv+xwgLKmp9eTJk4GeK2LqVVdd1ax2Ig1qbzcg fpZ6dyovIqNqL37KtdzRdffu3b///e9rXKF37952u107Wc2iXv785z/v3LlT O3PDhg3aCf7f0dXPbCk8++yzNRZz8cUX13hHVz9XDugp9Yd4G5BaASBqOE05 mfNuregNiO1sy92ld0VA/Smp1Ww21yO1yuVtos8///wf//hHbV5q3rx5+/bt v/322+rzRYgdOnToueeeq05u1apVv379Dh486DVTuVr47rvveh3funVrjx49 tD/ukksuERnPK7IKLpdr5MiRbdu2VWeef/75Dz30kLqFrNaCBQtuu+02ZVqH Dh18/9b5+fnKzKlTp3o9lJmZqTwUG1vls5niSf7www9FAdpf/OGHHz569GgD V/b/KfWHeBuYTCZSKwBEAcluzF5yn9rOajrhfecdILKoqTU1NbUh66Snpy9b tkwEqs2bN9d57ySRJ8WPS05OPnHihPjp9fhxpaWl+8oVFxfX+bOUOzqJ1Ffn smVlZUVFRYHeBdV/ajGHDh0S4TC4KzfwKVWkpKSINwOpFQAinVty5q16Wo2s pbsm6l0R0FDBSq2IDuJtQGoFgChQuHmoGlkLfhmidzlAEIhw4nK5LBZLRkZG Q67RIQpIkpSeni7eDOItQWoFgMhVuvtrNbLmrujvlhx1nwOEPTW1ZmZmKltU ocmyWq3iHy+kVgCIaKZjcWpkzWafK0QRJbXabLbc3NzCwkK9y4GexBtAvA3E m4HUCgARypq1LS32b0pkzZx3i9Po1z7kQEQQ4USSJLvdXlxcnJGRoXc50JN4 A4i3gXgziLcEqRUAIo69+Fj6zC5KZE2fcY298Fe9KwKCTN2yNTU1NYh3tEdk sdlsKSkpwdqsVSa1AkBoucx5mT/8s6I3IKajJWOT3hUBwaekVpFX8/Ly6rdr K6KAeOnFG0C8DYKYWlUNXw0A4IPkMGXHPaC2sxqPLNC7IqCxSJLkcDiMRmNa Whp9Ak2QeNHFSy/eAOJtIN4MQVmTsAoAoeHZmnX1s2pkLdk5Tu+KgEakfiar uLj4xIkT/mzIj6iRlZUlXnTx0gfrc1gKUisAhEZhwvuVW7NufFPvcoBGp/QJ WCyWoqKikydPHjlyxGg06l0UGpd4icULLV5u8aKLlz5YvQEKUisAhEDpnimV W7Muf9zt8r6/ORCV1OBaXFycnp6+f/9+EWmys7NNJlOw/moM3YmXUryg4mUV L654idPS0sTLHfTIKpNaAaDxmY7/pEbWrMW9JFsdd1QHoomINEqrgNFozM/P F5FGZJvdu3fv2LEjKSlp69atW8olIKIor5p4+cSLKF5K8YKKl1W8uOIlFi+0 0hgQ9H+YkFoBoFFZs5PUrVkz5t7sLKO7D02O0uNqt9utVquINCUlJQUFBbm5 udnlsrKyMhGBxAunvILipRQvqHhZxYsrXmLxQgexl1WL1AoAjcdRfCx91nWV W7MWHNS7IkA3rnJOp1OkGpvNJuKN+RQTIpD68omXUryg4mUVL67yKjfSW4jU CgCNxGXOz5x/26mtWTtY0jfqXRGgP6VhAFGpsXuVSa0A0Bgku1G7NWvZ4Xl6 VwQAkY3UCgBB55YceSufqtyadcdYvSsCgIhHagWA4HK73QUb/qvdmrUxPpUA AE0NqRUAgqs48VM1suatHOCWHHpXBADRYJCG3rUAQMQz7PtWjaw5cX0kh0nv igAgShBWASBYTMfjKu8msKCHy1Kod0UAED1IrQAQFJaMzWkxnSruJjCnq8OQ qndFABBVSK0A0HC2/P3pM67hbgIA0HhIrQDQQA5DasacrqfuJtDJkpmgd0UA EIVIrQDQEC5LQdaC7mo7q+nEUr0rAoDoRGoFgHrzugGWYX+M3hUBQNQitQJA /bhd9tyVT6qRtXj753pXBADRjNQKAPVQfgOs1zU3wBrCDbAAoFGRWgGgHooT R1XeAGvV09wACwAaG/fGAoBAGfZNq7wB1k8PcgMsAAgBwioABMR4dDE3wAKA 0CO1AoD/zClr0mI6nLoB1j+chjS9KwKApoLUCgB+smZtS4vtXHEDrJlduAEW AATFypUrhwwZsn//ft/TSK0A4A9b/r7Ke7ZOv9KavV3vigAgGqSkpJx11lnN mjVbsGCB75mkVgCok6PkeMbsG07ds7WjJW293hUBQDSQJOmf//xns3KkVgBo IGdZZua8Wyvv2Xr8J70rAoAo8dlnnzU7hdQKAA3hshRmLbxTjaxlv87SuyIA iBLJycmnnXZahw4dHnjgAVIrADSEZC/LXnK/GllLd0/SuyIAiBJms7ljx46t WrXavn37Y489RmoFgHqTnNbc+EfVyFqc+IneFQHQh9td/4HavPTSSyKpDh8+ XHxNagWAenNLjrzVz6mRteCXIW7+8wM0PWr4lE4Nl1T3UCeTXWuzfPlyEVNv vPFGp9Mpk1oBoL5EQC3Y8IYaWfPXDHJLTr2LAhBS2rwqgqjDJdvLh83pGdZa hvKoMlOcoiRYsquXvLy8888/v02bNkeOHFGO+J9aa9T4JQNAmCraOlyNrLnL H3c7bXpXBCCk1LzqLM+rIo6aHbLRLhtscqlVLikfxRa5SDPEt8pxMUFME5PF KeJEcbpTk10hPPzwwyKjPvTQQ2tOuf3228WRoUOHiq+Li4trO5GACgBaJcnj 1ciaE9dHshv1rghASKmRVcmrGQb5s01y79ny1d/InSb6O8Tke+fIYxI8pyvZ leCquvzyy5vVTgTX2k4ktQKAynAgVo2sWYvuclkK9a4IQKipkdXikJf8Kv99 itxxQv3H9VM8i4il1OCKTz755LWq2rdvL/Jqz549xddHjx6t7URSKwAojEcX q5E184duTmO23hUBCDXlcqhT8lwgFWlTxM4ODR5iEbGUWFAsy+XWGvFpLADw n/nkyrSYDkpkzZjT1VHym94VAdCBu/yzV3aXnFoid5ksXzE+OEMslVLiWdYl kVprQGoFAD+Z09alxXRSImv6zC72goN6VwRAB+qFVrND/nST3H58MMfIjZ5l udxao8cff1yk1oULF/qeRmoF0MRZM7ekxXauiKzTr7Lm7NS7IgD6UDpa7S65 zCb3nClf/lV9Rp+58sqj8oFcedjaKsfvmuFZ1k53awOQWgE0ZdacHSKpVrSz xnYWCVbvigDoRmkPsDo9O1l1mCD/dVx9hsirqvvnVB6/YrxnWbE4TQL1RmoF 0GTZ8velz7y2IrLGdLKkrde7IgB6UlNrvkm+9Mv6jNGbqyz4xKIqj4plSa0N QWoF0DTZCw9lzLr+VGTtYD65Uu+KAOhMbWrNM8kXjw14dPvWc4sBVVqp9wSx rNrainogtQJoghwlJzLmdFX3uTIdi9O7IgD6U1NrTpn8lzEBj4TUKqs9tsB7 gljWR2odM2bMP8qtXbtWe3zbtm3K8R49etjt9sZ8AsIdqRVAU+M0pGXOu0WN rGWH5+ldEYCwoKRWk13OLpPbfRHYeGd1laUmJ9UwRywrFq8tte7evbt58+bN mjXr1q2bejAvL69du3bioHhoyZIljfwEhLtBGnrXAgCNzmnMzpx/mxpZDQdi 9K4IQLhQU2uWQb5wdACj04QqvQGpJZ4j1aeJZY21p1bhwQcfVO5qmpCQIL51 uVx33HGHcmTUqFEheQ7CGmEVQNPhMudnLbxTjayleybrXRGAMKKkVhEsMw1y 28+rjI7j5f/84Plfr+PKWHa4yjpiZo3TMutKrfv27VMut/bp00d8+/bbbyuR 9fHHH2/83z4CkFoBNBEua3H24l5qZC3ZMVbvioAmJzZ+f4hHQOVpU+v5n1WO Dl95Lp8KJVb5rtgqD4kxsOrf7Sclek9QR52pVejbt6+IqS1atBg9erQSWbt2 7Wq1Wms9oSkhtQJoCiR7WXbcA2pkLU78RO+KgKboqY9XhHgEVJ42tZ77aeUY uaFyjgiud8ZUPtR+XEWgVYivxRHtudrhT2o9cOCAiKzNTmnXrl12dnagz3O0 IrUCiHqSw5SzrK8aWQsT3nez7wyghwhKrX8cVTneqLrM3mz5si8rHpqwrcpD /55b5USv4U9qFfr166dE1jZt2iQnJwf0K0Q3UiuA6CY5rbnLH1cja8HGIW63 pHdRQBMVKR0CWQb57E+qjI0nq8zck+05+OCcKgfHb/U+y2vU+WkswWAwXHnl lUpqvf322wOqP+qRWgFEMbfLnrfqGTWy5q97xS259C4KQJjSptY/jKwyLhnj Sapa03dVOZJS7JnjdZbXqDO1Op3OXr16NdNISkpqxF840pBaAUQrT2T9+Xk1 suatfs4tOfQuCkD4Uu8yIOLl7z/2Hn/5wtPUWpsHZtdwitcQy/q+N9aLL76o hNVu3bq1bNlSfNGzZ89G+mUjEakVQFQSATV/zSA1suau6O922vQuCkBY094b 63cjahjdptUcXMdtqXm+1/B9b6xx48YpkbVLly5ms/mRRx7R7t0KmdQKIBp5 IuvaFysj6/LHJIdZ76IAhDsRJl2SbHHIuUa5zYiaR/+F3medLJb/PLrW+doh lhWLu2pKrXFxccrWAeedd15aWpo4kpycrKTW7t27h+S3jwCkVgBRxi0589e+ XBlZ4x8lsgLwh5pa80zyWSPlM4bXPF5ZVuWs3jNrnakdfxzlWbbG1Lpz5842 bdqIgHraaadt3ry5cuXevZXgumHDBhmkVgDRxRNZ172iRtacZf+RHCa9iwIQ GZTUanPKRRb56kny6R/VOoatkYstnvHyMl/TtEMsKJYVi3ulVoPBcOGFFyrp dOrUqdp6EhMTleN33313qJ+LsDRIQ+9aAKBB3JKrYP1rmsjaT7Ib9S4KQMQQ YVJyy3aXXGqVBy+XT/swmOOVeM+yYnHxI9gxun4IqwCiQ3lkHVwZWZf2lexl ehcFIMKIPOlwySa7vC/Hs1dVqw+CM8RSYkGxrFicyFpvpFYAUcATWTf8VxNZ HyayAqgHpUnAWt4kMDlJbvWh3PKDhg6xiFhKLGit1h6AgJBaAUQ6t1sq2Phm ZWT96d9EVgD1Jp263JpT5rnd1Zkj5BbD6j/E6RO2eZZSLrRKRNYGILUCiGie yPrLEE1kfVCyGfQuCkAEUy632l1ymc2TNhPT5WcWy5eNlU/7QG7+vr+j9Udy h3HywCXy9gzPIka7Z0EutDYQqRVA5BKRtfCXt9XImh33gGQr1bsoABFPDa4m u1xoljMN8rFC+UCuvDdbTs6Ud2RUjO2aoR7cleWZJiaLU8SJ4nQTkTVISK0A IpTb7S7c9K42srpsJXoXBSBKKMHV4fI0oxrtnq7UfJPnNgHZZZ4bs2bWMsRD YoKYJiYXWzwnitMdRNYgIbUCiESeyLp5aGVkXXIfkRVA0Im0qWRXm9MzRAQ1 OzzDZK9hKA+JYXVWzFfyqhgIClIrgIjjaQzQRtYf73VZi/UuCkDUktwV4TPQ wWevgovUCiCyuCVX4S9vaSLrPS5rkd5FAQAaHakVQARxS86CDa9XiayWQr2L AgCEAqkVQKRwS478da9oelnv5yorADQdgzT0rgUAauV22fPXDKq6LyubXAFA E0JYBRD+3E5b3upnNTds7cvdrwCgqSG1AghzktOSt/IpNbLmxj8q2Y16FwUA CDVSK4BwJjnMucsfr4ysK54QR/QuCgCgA1IrgLAl2Y05y/6jRta8VU9LTqve RQEA9EFqBRCeJJshZ+nDlZH154Ful03vogAAuiG1AghDLltJTlwfNbLmr33R 7bLrXRQAQE+kVgDhxmUpzF5ynxpZC9a/5pacehcFANAZqRVAWHFZCrIX96qM rBvecEsuvYsCAOiP1AogfDhNuVmL7lIja+Gmd9xuSe+iAABhgXtjAQgTzrKM rAU91MhalDDM7XbrXRQAIFwQVgGEA0fJicx5t1ZG1q3DiawAAC1SKwDd2QsO Zsy+UY2sxUmf6V0RACDskFoB6MuaszN9Zhc1spbunqR3RQCAUNiwYcOIESMG Dx48e/bsjIyMOueTWgHoyJKxKX36VWpkNRyYrndFQFNRXGbdsi8zNn4/3TgI PZfL1a9fv2YarVu3jo+P930WqRWAXswnV6bF/q0issZ0MB5drHdFQJSz2Jx7 jubOXnXwvcmbnvp4hTJSskv1rgtNzscffyySatu2bcePH5+YmPjWW2+Jb1u1 anX48GEfZ5FaAejCeGShSKoVkTX2b+aTq/SuCIhOLkk6mla0ZOPRT2K3PT1y pRpW1bF8ywm9a0TT4na727VrJ2LqlClT1IM9evQQR8aOHevjRFIrgNAzHIhV uwLSp19lydisd0VAtMnML1uddHLcvJ2DPl9dPakq48Uvfp64IHnP0Ty9iw13 bnf9B6qzWq1fffXVCy+8YLFY1IPvv/++SK2vv/66jxNJrQBCrHTXxMrIOrOL LTdZ74qAKFFcZk3YmzF1yZ7Xxq2rLak+O2rV5zMTl24+fiKzRCJU1UUNn9Kp 4ZLqHurkxsuuW7ZsmTp16vjx41esWCFCYPB/QGilp6dfeumlIrWuXLnSxzRS K4CQcbvdxYmj1MiaMaerveCg3kUBkc1ic+4+4t2qWn18MHXzD2sO7T+eb3Nw i2S/aPOqCKLiabOXD5vTM6y1DOVRZaY4RUmwwc2uRUVFt912m/ZzTJdddtnO nTuDs3rIzZw58+abb27RooX4RV599VWn0+ljMqkVQGi4JVfh5vfUyJo5r5uj hG46oD7qbFVVxhsT1n+/dF/igSyDyaZ3yRFGzavO8rwq4qjZIRvtssEml1rl kvJRbJGLNEN8qxwXE8Q0MVmcIk4Upzs12bXh+vbtKwLerbfeOm/evHXr1j32 2GPi20svvdRsNgdh9ZC744471Pg9evRoh8PhYzKpFUAIuF32gvWvqZE1a0EP Z1mm3kUBESYjz49W1dGeVtV1O1NzCk161xup1Miq5NUMg/zZJrn3bPnqb+RO E/0dYvK9c+QxCZ7TlewalOBqNBpbtWrVsmXL7OzsU9W627dvLyLfL7/8EoRf PuRSU1PT09O/+uorpUPg4Ycf9jF5UC1CVi2AqCc5rXmrnlEja/aPvV3mfL2L AiKDn62qn82gVTVo1MhqcchLfpX/PkXuOKH+4/opnkXEUmpwbQiR8Z566qkh Q4ZoDypXX+fPn9+gpfW2cuVK8VucfvrpJlOt/+AioAJoVJK9LDf+UTWy5ix9 WLKxOSTgC62qOlIuhzolzwVSkTZF7OzQ4CEWEUuJBcWyQf9wVmlpaevWrUXe O3LkSDDXbUySJKWnpx88eNDrYNu2bX1/IIvUCqDxuMz52UvuVyNr7or+koO/ WgI1cLpoVQ0L7vLPXtldcmqJ3GWyfMX44AyxVEqJZ1mXFOTU+swzz4ikd//9 9wdz0Ua2b98+UfM555yj/eyV+Prss88Wx5OTa91YhtQKoJE4DKmZ8+9QI2v+ mkFuF/+dBapQW1Wf/6yOXVXX70zNLeIffY1LvdBqdsifbpLbjw/mGLnRs2wQ L7dKkvTqq6+KmHfhhReqba4Rwe12n3/++aLyL774Qj04bNgwcUQc97GNAKkV QGOwFxzImNNVjayFv7zllnztZwI0HQHtqvobraohpHS02l1ymU3uOVO+/Kv6 jD5z5ZVH5QO58rC1VY7fNcOzrD0Y3a1y+Ub9Dz30kIh5F110UQT1BqgWLlyo 7BvQpUuX9957T7kxVvPmzVesWOHjLFIrgKCzZCakz7hGjazF2z93859dNG1q q+q7k3+pu1X1RL6dVlU9KO0BVqdnJ6sOE+S/jqvPEHlVdf+cyuNXjPcsKxZv eJNAWVnZ7bffLmLe1VdfnZGR0cDfWi8LFixQ7uuq6Ny5c53bIJBaAQSX6cSy tJhOamQ17I/RuyJAH2qr6siYrXW2qiYdpFVVf2pqzTfJl35ZnzG66u2pn1hU 5VGxbMNTa1FR0Y033ihiXs+ePQ0GQwN/ZX253e6UlJStW7fm5/u1sQypFUAQ GQ5MV/OqyK6m4z/pXREQaqdaVXf4blWdtHAXrarhRm1qzTPJF48NeHT71nOL AVVaqfcEsaza2lpvjz76qIisDz30kO/bSEUlUiuAYCnZMVaNrOkzrrZkbK77 HCAq+N+quiyBVtXwpabWnDL5L2MCHgmpVVZ7bIH3BLGsj9Q6ZsyYf5Rbu3at 9vi2bduU4z169Fi/fr3y9/Rrrrnm5qri4+Mb87kJC6RWAA3nlpyFm95RI2vG 7Btt+fv0LgpoXEqr6qyVtKpGDyW1muxydpnc7ovAxjurqyw1OamGOWJZsXht qXX37t3NmzcXibRbt27qwby8PKX5Uzy0ZMmSjz76qFktpk2b1shPj/5IrQAa SHJa8n4eqEbWzPm3O0pP6l0U0CiUVtUf62pVfXPChphl+5MOZpWZ7XqXjACo qTXLIF84OoDRaUKV3oDUEs+R6tPEssbaU6vw4IMPKhE0ISFBfOtyue644w7l yKhRo0LyHIQ1UiuAhnDZSnKW9dXcrfVelzlP76KAIMvMp1W1SVBSqwiWmQa5 7edVRsfx8n9+8Pyv13FlLDtcZR0xs8ZpmXWl1n379imXW/v06SO+ffvtt5XI +vjjjzf+bx8BBmnoXQuACOM0Zmcturvy1lfLH5PsZXoXBQSH362qSbSq+q8o YViIR0DlaVPr+Z9Vjg5feS6fCiVW+a7YKg+JMXBJlUUmJXpPUEedqVXo27ev iKktWrQYPXq0Elm7du1qtVprPaEpIawCqB978bHMed0qb3219mW3k317ENks Nodfu6pOS6BVtX4q9xgJ1QioPG1qPffTyjFyQ+UcEVzvjKl8qP24ikCrEF+L I9pztcOf1HrgwAERWdVu1Xbt2kXWfa8aFakVQD1Ys5MyZl2v/nehKOEDt1vS uyigPvxsVVV3VaVVtSEiKLX+cVTleKPq/Zr2ZsuXfVnx0IRtVR7699wqJ3oN f1Kr0K9fPyWytmnTJjk5OaBfIbqRWgEEynRiaVrs39T/KJTsmqh3RUDAPLuq JtbdqjpxQTKtqkEUKR0CWQb57E+qjI1VP2O6J9tz8ME5VQ6O3+p9lteo89NY gsFguPLKK5XUevvttwdUf9QjtQIISOmeKZr7CHQoOzxP74oAfxUZTrWqfrmW VlVUp02tfxhZZVwyxpNUtabvqnIkpdgzx+ssr1FnanU6nb169dLuZ5WUlNSI v3CkIbUC8JNnU9bNQ6vcRyBtQ92nAbqy2By7/NlVlVZVaO4yIOLl7z/2Hn/5 wtPUWpsHZtdwitcQy/q+N9aLL76ohNVu3bq1bNlSuW1rI/2ykYjUCsAfkt2Y t+qZyvsIzL3JXnBQ76KAmjld0pFUdlVFwLT3xvrdiBpGt2k1B9dxW2qe7zV8 3xtr3LhxSmTt0qWL2Wx+5JFHtHu3Qia1AvCD05STveQ+NbJmLe7lNGbpXRTg zc9WVXZVRW1EmHRJssUh5xrlNiNqHv0Xep91slj+8+ha52uHWFYs7qoptcbF xSlbB5x33nlpaWniSHJyspJau3fvHpLfPgKQWgH4Zi86ot3hKnfFE5LNoHdR QIWAWlVPZtGqCl/U1Jpnks8aKZ8xvObxyrIqZ/WeWetM7fjjKM+yNabWnTt3 tmnTRgTU0047bfPmzZUr9+6tBNcNG2jH8iC1AvDBkpmQPrOLGlkLfhnilhx6 F4WmrrJV9Zu6W1UP0KoKvymp1eaUiyzy1ZPk0z+qdQxbIxdbPOPlZb6maYdY UCwrFvdKrQaD4cILL1TS6dSpU7X1JCYmKsfvvvvuUD8XYYnUCqA2xqOL0mI6 Ve5wlTxe74rQdKm7qn7sV6tqNq2qqAcRJiW3bHfJpVZ58HL5tA+DOV6J9ywr Fhc/gkv+9UNqBVAjkVE1O1x1EglW74rQFPnTqvrSF2s8rarJabSqouFEnnS4 ZJNd3pfj2auq1QfBGWIpsaBYVixOZK23QRp61wIgLLglR8EvQyp3uJrZxZLJ J1gROv63qsYnnKBVFcGlNAlYy5sEJifJrT6UW37Q0CEWEUuJBa3V2gMQEMIq AC3JZshd8YQaWTPndbMXHdG7KEQ//3dVnb/2MK2qaFTSqcutOWWe212dOUJu Maz+Q5w+YZtnKeVCq0RkbQBSKwCVsywza3EvNbJmL7nPacrVuyhELXVXVf9a VdlVFSGiXG61u+QymydtJqbLzyyWLxsrn/aB3Px9f0frj+QO4+SBS+TtGZ5F jHbPglxobSBSKwCFLXd3xpyuamTNW/WMZDfqXRSikNKq+uVcP1pV2VUVOlGD q8kuF5rlTIN8rFA+kCvvzZaTM+UdGRVju2aoB3dleaaJyeIUcaI43URkDRJS KwDBdDwuLbazGlkLNw91S069i0L0KDJYEvZm/O9HWlURMZTg6nB5mlGNdk9X ar7Jc5uA7DLPjVkzaxniITFBTBOTiy2eE8XpDiJrkJBagSbO7XaX7PyycruA 768w7Jumd1GIBn7uqvohraoIYyJtKtnV5vQMEUHNDs8w2WsYykNiWJ0V85W8 KgaCgtQKNGWS05K/9uXK7QJmXG1OXat3UYhgaqvqyJitA0bWmlTfnFixq6qR VlVEAsldET4DHXz2KrhIrUCT5TRlZ8c9ULldwA/d7IWH9C4KEcnPXVW/ZldV AA1AagWaJlv+voy5N6uRNWdpX5elQO+iEEn8aVV9btSq0bNoVQUQHKRWoAky /bY8ffqVamQt2PCG22nTuyhEAE+r6uFAWlWdtKoCCBpSK9CkuN3u0l0TNZ+9 al+6+2u9i0JYc7qkw6lFizd4dlWlVRWAjkitQNMhOa0F6wdXfvZq+lXmkyv1 LgphKj3XsKp8V9WBfrSq5hWb9a4XQPQbpKF3LQAakcucl/PTvzW3ar3FXnBA 76IQXooMls17PK2qr/rVqlpKqyqAUCKsAk2BveBg5rxulZ+9iuvDrVqhUHdV fcePVtWDvxXQqgpAL6RWIOqZTizTfvYqf92rktOqd1HQk7Krqp+tqtt/pVUV QFggtQJRzC25ird/rv3sVUnyeDd/1W2q/G9V3UCrKoDwQ2oFopXLVpK3coD2 s1emE/F6F4VQC6BVdQutqgDCGqkViEr2oiNZC7pXfvZq/m32wl/1LgohYrZW 7KpKqyqAaEJqBaKP+eTK9BlXq5E1d8UTLmuR3kWhcVXuqvo9u6oCiE6kViCa uN1Syc4vtY2sxYmfuCWn3nWhsfjVqjqGVlUA0YDUCkQNyV6Wt/q5ysg6vbPx 2BK9i0LwKa2qU2hVBdDEkFqB6OAoOZ618M7KRtYfutny9+tdFILGn1bVAR+v +OjbhAW0qgKIUtwbC4gC5tS16TOvrWxkjX/UZSnUuyg0VGWrqs9dVYdM3BAb z66qAKIfYRWIaG63u2TXRG0ja9HW4W7JoXddqCfxgvrbqrqIVlUATQupFYhc kr0sf80LlZE1trPxyAK9i0J9FJZaNu1Jp1UVAHwgtQIRyrMjq7aRdd4ttrzd eheFAJitjuTDOTNX0KoKoInavHnz6NGjX3755VGjRq1atarO+aRWIBIZjy1J n36VGllzlvV1mfP0Lgp187SqphQu3nDE966qtKoCiG4Oh+PBBx9sVlX37t1L S0t9nEVqBSKL22UrShhWpZF1y0duF9kmfLnd7rRcw6ptv/nZqppPqyoQZtzu +g/U6J133hEx9fzzzx82bFhiYuJnn3120UUXiSNPPvmkj7NIrUAEcZZl5MT1 UfNq+vSrTMd/0rso1IxWVSAKqOFTOjVcUt1DnUx2rZH4t/x5550nMup3332n Hvzxxx/Fkf/7v/9zOGr9QDGpFYgUlrQNGbOuVyNr1qK77MXH9C4KVdCqCkQN bV4VQdThku3lw+b0DGstQ3lUmSlOURIs2dVLVlZW586d27Ztq+0HcLlcp59+ ugiuv/32W20nklqB8OeWXF73aS1Y/5pkN+pdFzwCblW10M4BhDs1rzrL86qI o2aHbLTLBptcapVLykexRS7SDPGtclxMENPEZHGKOFGc7tRkV9Rm7969IrK2 bt3a6az1LuSkViDMuSyFuSv6V0bWmE6GA7F6F9XU0aoKRDE1sip5NcMgf7ZJ 7j1bvvobudNEf4eYfO8ceUyC53QluxJcfXA4HLfddptIrY8++qiPaaRWIJzZ cndlzrtVs73VreKI3kU1XWqr6itj625VTcmmVRWISGpktTjkJb/Kf58id5xQ /3H9FM8iYik1uMKLy+V67LHHRGQ999xz8/PzfcwktQJhy3AgNi2mU+V9Wlc+ yX1aQ09tVX37a1pVgeinXA51Sp4LpCJtitjZocFDLCKWEguKZbnc6sVsNt9/ //0isp555plbtmzxPXlQLUJTKoAaSXZj/rpXtY2sJTvHud2S3nU1FWqr6ojv t9CqCjQp7vLPXtldcmqJ3GWyfMX44AyxVEqJZ1mXFC6p1Wq1bt26df/+/f6f YrPZxCl79+4NVg2FhYVdu3ZVrrImJSXVOZ+ACoQbe9HRrIX/UvNqxqzrLWkb 9C4q+qmtqmPnbB/46SpaVYEmSL3QanbIn26S248P5hi50bNsAy+3Tp8+/fxy J06caOAv+8Ybb4i4OGDAAP9PMRgMIl62aNGizoui/lB2EhA1tG/f/vjx4/6c QmoFworxyIIqN72K6+Msy9C7qGhW0aq6eLc/rarsqgpEN6Wj1e6Sy2xyz5ny 5V/VZ/SZK688Kh/IlYetrXL8rhmeZe0N6279+uuvldtIHTp0qCG/6datW0X4 bN26dUZGYP+JmThxopIzzeYG/ctdRNbLLrtMLHXrrbcWFvrb/EZqBcKEZC8r WD+4yk2vEj5wu2x61xWFlFbVGSsO1N2quo5WVaAJUdoDrE7PTlYdJsh/HVef IfKq6v45lcevGO9ZVizekCaByZMnK6n1yJEj9f41nU5nx44dxSLvv/9+oOc6 HI7LL79cnPvmm2/WuwChb9++YpGbb77ZYrH4fxapFQgHtvx9WQu6V970asbV pmNxehcVVZRW1UXr625VnU6rKtBUqak13yRf+mV9xujNVRZ8YlGVR8WyDUyt brfbWa4hv+bMmTNFYjzjjDOKiorqcbpyvVecnpubW/fsmmzZskXJ3i1btjy3 Gh+XkUmtgL7E/wUZ9sdo9wrIXnKfo6TWO4PAf/63qn6zaNfGXbSqAk2d2tSa Z5IvHhvw6Pat5xYDqrRS7wliWbW11QebzWY01v8+MtobTlUnSVKnTp1EYnzq qafqt35JSUnr1q3FCu+++279Vhg3blyz2vn4gBipFdCRy1qUt/q5Kl0BW4fT FdBAfu2q+umqL2ZvX16+q6qbVlUA5dTUmlMm/2VMwCMhtcpqjy3wniCW9ZFa f/vtt4EDB1588cUtWrQQ4a1du3Z33XXXggULtHN+/PHHf5RLT09XjvTs2VN8 u2TJkj179jzyyCN/+ctfxLnnnHNOjx49Nm7cWP2nLF26VAmHiYmJ2uNjxoxR Vl67dq32+LZt25TjYkG7veKPUAMGDBArnHXWWQ3sbg0UqRXQizUrMXPeLdq9 AswpP+tdVKQy+bur6hZaVQHURkmtJrucXSa3+yKw8c7qKktNTqphjlhWLF5j ahUpVMTUGq89PvPMM+q06p/GOvvss8W3ffv2FRnS68SWLVvGxMR4/aCnn35a PHT++ed7Hd+9e3fz5s3FQ926dVMP5uXlKVWJh0QwVo+Lr5UfsXz58vo91fVD agVCzy25SpInpH1/ReVeAcv6OY1ZetcVYfxsVX1r0kZaVQH4Q02tWQb5wtEB jE4TqvQGpJZ4jlSfJpY11pJaH3/8cSUHDhs2bO/evcnJyZ9//rmaY/fs2aNM qy21Kh577DGRJ3/44YcHHnhAOXLRRRdpm2DdbrfIq+L4ww8/XP3Xf/DBB5Wz EhIS5PJbVt1xxx3KkVGjRmlnFhQUKBH35ZdfbvjT7j9SKxBiTlN2bvyjmq6A K0p2fumWGtRa33R4WlVzDCvralV9mVZVAIFTUqsIlpkGue3nVUbH8fJ/fvD8 r9dxZSw7XGUdMbPGaZm1p1YloN5yyy3ag4sWLVJC45AhQ5QjPlLrxx9/rJ4o SdK//vUv5fi2bdvU4yIMKwcnTpxY/dfft2+fkkX79Okjvn377beVySJRV598 5ZVXiocuv/xyf5/cYCC1AqFkTl2XMfuGyq6AuTdZM7fqXVQE8LSq7q5rV1Va VYGwt3bPqBCPgMrTptbzP6scHb7yXD4VSqzyXbFVHhJj4JIqi0xK9J6gDh+p tX379sof7r1uEbV27dqjR4+qDaW1pdZzzjnHZqvymQhlY1UhPj5ePTh//nzl 4KpVq2p8BpQNqVq0aDF69GhlZteuXa1Wa/WZjz76qDLT5QpdwxWpFQgNt8tW nPiJ9oNXeauedln83Vq5CTJZHTsP+bOrakWrqoNWVSDsjf/p+hCPgMrTptZz P60cIzX3JxTB9c6Yyofaj6sItArxtTiiPVc7fKTWV199Vf1D/zXXXPPOO+9s 2rSp+g5XtaVWkS29ZqqfutL2o3711VfKwR07dtT4DBw4cED5LJiiXbt22dnZ Nc4cPHiwMicrK3TtbYM0QvZDgabGXnQk+8d7KyNrTEfDvmlcD6zO6ZIO0aoK RK8ISq1/HFU53lhRZdrebPmyLysemrCtykP/nlvlRK/hI7UaDAb1b/qqc845 p3///kePHlWn1ZZaq/eprl27Vpn5448/qgfVP/qfPHmytiehX79+ypw2bdok JyfXNm3UqFHKNB9zgo6wCjQqz3asB2LSYjurkTVz/u22vD161xVGAm5VLaFV FYhUkdIhkGWQz/6kythYNeXtyfYcfHBOlYPjt3qf5TV8fBpLLr/tVExMTO/e vZXdUFVnnXWW+gf92lLrY4895v1U15RaX3/9deVgamqqXBMRnpWGVeH222/3 8VyNGTOG1ApEE88Hr1Y+qe0KKNjwumQv07uusBBQq2oqraoAGp82tf5hZJVx yRhPUtWavqvKkZRizxyvs7yG79SqslgsK1aseO2119q2baskw+uvr7ho3MDU qnar7ty5s/rPdTqdvXr10gZmryZbrXfffdd3AG4MpFagkZh+W54x6/rKm7TO 7GI63tRv0qppVd1YZ6vqrydpVQUQUupdBkS8/P3H3uMvX3iaWmvzwOwaTvEa Ytka7zKQlZU1ZsyYZ599dt26ddrjJpNJ3S61oKBAbnBqVe7lKohUXP1XePHF F5VHu3Xr1rJlS/FFz549a/t9n3vuOWWy16fAGhWpFQg6yV5WsHGI9hJr7vLH m+x2rJWtqt/RqgogrGnvjfW7ETWMbtNqDq7jttQ832vUdm+sAwcOKAnwuuuu 8/q7UteuXcXx1q1bK3ehamBq3bhxo3Kw+s5X6l1Wu3TpIn7WI488onyr7N1a ndKF27ZtWz+e16AhtQLBZc3enjn/tsrIGvu38g9eSXrXFVJqq+oYWlUBRA4R GF2SbHHIuUa5zYiaR/+F3medLJb/PLrW+dohlhWLu2rqEOjcubOSEl966aUt W7a4XC673f7ll18qB++//35lWgNTq9VqbdOmTbNqn96Ki4tTtg4477zz0tLS ZM3Ort27d6/+RDmdzjPPPFM8+sQTTwT4HDcIqRUIFrfLXrJjjPaOV1mLe9kL f9W7rtBRWlUn06oKIDKpqTXPJJ81Uj5jeM3jlWVVzuo9s9aZ2vHHUZ5la0ut SUlJZ5xxhtpQKrKl8jf6ZuXbT+3evVuZ1sDUKtx7773Nqt7RdefOnUqUPe20 0zZv3lz5e/XuraywYcMGuart27crD82bNy/A57hBSK1AUDiKj2UvuV/bFVC0 baTbGbpuH71UtKour7tVdeG6I7SqAghnSmq1OeUii3z1JPn0j2odw9bIxRbP eHmZr2naIRYUy4rFa0ytQkJCws0336z9MNSZZ54pQmZOTo46Z8qUKcpD6nZY f/rTn8S3/fv391pNRE1l5k8//aQ9/r///U85vmvXLrl804ALL7xQOTJ16lTt zMTEROX43Xff7bX4J598oqTc4uLiej7X9UJqBRrI7XaXHZyZNl2zt9W8WywZ m+s+M2IF0Kq6/MCOX7NNFofeJQNA3USYlNyy3SWXWuXBy+XTPgzmeCXes6xY XPwIH39oKioqEvF1+fLlIpdKUvC7y4xG4x//+EelFaF+K4iqLrnkErHCs88+ G9za6kRqBRrCacrNW/W09hJr/rpXXbaSus+MNEqr6oqt/rSq7qZVFUCEEnnS 4ZJNdnlfjmevqlYfBGeIpcSCYlmxuO69UcOHD29Wvg2s8gmvQIlE3az8Xq7H jh0Lem2+kVqBejMdi6u6t9W1xmM/1n1aRCkstfziR6vqmNnbRaClVRVApFOa BKzlTQKTk+RWH8otP2joEIuIpcSC1trbA0KpqKhIRFaRPCdPnlyP03v06FFj J20IkFqBenCZ8/J/HlRlb6v4R5xl6XrXFRx+tqoO/45WVQBRSDp1uTWnzHO7 qzNHyC2G1X+I0yds8yylXGiV9I6siu+++04kzwsuuMBoNAZ04ooVK5qV32o2 Ozu77tnBNkgj9D8diETGY0u0l1jTYv9Wuvd/kb63VZVW1VqSKq2qAJoC5XKr 3SWX2TxpMzFdfmaxfNlY+bQP5Obv+ztafyR3GCcPXCJvz/AsYrR7FgyHC60q 5TZYH374of+nuFwuZYeuWbNmNV5hPhBWAf95ulh/fl57iTXnpwftRUf1rque aFUFgBqpwdVklwvNcqZBPlYoH8iV92bLyZnyjoyKsV0z1IO7sjzTxGRxijhR nG4Kv8gqn7oh15w5c/w/pbi4WJzitdVAKJFaAT8Zjy1Jn3VdlUuse6a4Jafe dQWsoIRWVQCogxJcHS5PM6rR7ulKzTd5bhOQXea5MWtmLUM8JCaIaWJyscVz ojjdEX6RNUKRWoE6lV9iHeh9ibU41J+dbAhaVQGgHkTaVLKrzekZIoKaHZ5h stcwlIfEsDor5it51RXZHWRhhNQK+GY89mNNl1gjINSJ5PnrSVpVAaChJHdF +Ax0hMlnr6IGqRWoTSReYnW73amBtKoWlFj0LhkAAL+QWoEaVbvE2tmzUUC4 XmINrFU1x0CrKgAg4pBaAS9OU3be6ueqXmL9tyP8LrEG2KpaSKsqACCikVoB ldstlR2cmT7z2rC9xCqSZ+WuqiPraFUVmZZWVQBA1CC1Agp74aGcnx4Kw0us fraqvjJ27TeLdv+yO51WVQBAVCK1ApLTWrJjTFpMRzWvpk+/yrDvW30vsdKq CgCAFqkVTZwlY3PWgu7aS6x5q552lqXrUozJUtGq+tYkWlUBAKhikIbetQAh 5bIUFmwcos2rGXO6mo7/FOIy1F1Vh7OrKgAAtSOsomkyHl2cMfsGbWQt3PSu y1YSmp9e2ao6e/tztKoCAOAHUiuaGkdpSu6KJ7R5NWvhv6zZSSH40Uqrqgii PlpVB366aswcWlUBAPBGakXT4ZYcpXsmp03vXBlZYzqVJH/ldtka74cqrarT 62pVHfHdlkXraVUFAKBWpFY0EdasxKzFvapsbLXsP420sZXSqrpwXR2tqm9/ vXEGu6oCAOAfUiuintOUU7B+sDavps/sUnZobnD//u5/q+rkxbSqAgAQMFIr ophbchj2TUufcY02suave9VlzgvWjxDhc+OutG8W7X55zBpaVQEAaDykVkQr S2ZC1qK7vD51ZcnY3PCVTRbHjl+zaVUFACCUSK2IPk5jdv66V6u0BMy4unTv /9wue73XLG9VLQigVdVKqyoAAMFEakU0Ebm0dM+U9OlXaSNrwfrXnKbs+qzm dqdml/rfqlpYSqsqAACNhdSKqGHJ2JS18M4qLQGL7rZmbg10nfwSM62qAACE G1IrooCzLCN/7YtVWwKuMez71i35+2d6v1pVR9KqCgCAbgZp6F0LEDC301a6 ++v06VdWaQnY8F+nKbfOc2lVBQAgghBWEaHcbrfpxLLMH/6pzavZi3v5vjcr raoAAISVsrKyV155ZcGCBXXOJLUiEtlyd+UsfdjrxgGGAzFuyVnj/IBaVdNo VQUAICTEf3AfeOCBZs2aDR48uM7JpFZEFmdZRsH617R5VYzCX95ymfO9ZgbU qnoopdDpknT5jQAAaJpKS0ufeuqpZuVIrYgmkr2sZMeYtNjO2ryau/wxe8EB dY7aqvrRt7SqAgAQvuLj49u1a9fsFFIrooNbcpUdmpsxp2uVXa0W9DCnrJY1 rapf0KoKAECE+MMf/iDCao8ePYYOHUpqRXSwZGzKXtyrSgvrrOsM+2PyikrL W1V30aoKAEDE6dmz5+LFi8V/nb/++mtSKyKdvfhY3qqnq7SwxnQ8vPyd2Uu3 0qoKAEB0ILUiojlNOYUJ76fFdNBG1oTvHn7z01hfraoraFUFACDCkFoRoVy2 kuLtn6dNr/KRq6T/3TZi9Fc1tqpOWbx7E62qAABErIBSa41CUCSgJTnMWdvG p8Req82rB6ddN2HsBwM+jte2qo6ds33lNlpVAQCIBlxrRaQwWuw7DqStXTD6 8HfXafPq0W+vjP3qtYEjl1S0qn4f/a2qbrdkd5hM1vwSY3pe6ZGsor1peUkn sjceyVh9IPWnvb/NTz4+M+nId1t+/WbTga/W7xu9ZvfIVckfLN/x7rKkN+O2 vbZ464sLE56bv2nAvF/6z9nw6Kz1/Wase2jKitsnLL1xwtIbvlnebdqqntNW /Wvqyh7/E2NF9ykr7lCH+FYcnOoZd05bdde3q3t+t7rX9z/3jllz//S1fWau e2jW+v/M2fjYvF+enL/5mUUJz/+49aW4xMHLtg9ZsfO91bs+Wrtn1IZ9X2w+ OGHroSnbj36/6/icvScX/pq27Gjmz7/lbErP35FdtL/AcKzUlGm2FTmcXBgH AFQitSKcOZyug78VLFh3+KNvN381ZvjeqVW2tDrxXae5459/4ZOFb3/9S+S2 qjpdNpE/Cw2/ifB5MjfhcMbKvScXbD8ak3Bw4rq9n67c+f5Pia+LkCmiYOya B0RW/Dr+lvE/Xd9kxt8nLbtpwk9/n7i0qwjMi7YMWpr0xupdH27YN3rroW92 HpuxP+VHkXhT87blFB8oNqZZbMVSLXc9AwBEOlIrwo3b7U7JLl2+5YS6q+pn X4ze8b9/avNqyndXLJs8IHbh2nBuVbU7TKWmTJGmRBb9NS0++fgsEUTX7B65 bPuQhQkDZ63v9+3quyctu1nvWBiFY/Lyf8b8fO/cjU/8uPWlFTvfW7/3862H puw+Mfdw+oqUvK15JYfKLDniHwt6v0EAAIEhtSJM5Bebq++q+tHnE7ZMuVOb V1O/b79/4TNpx/fr3qpqtZcWGk6k5W8XWUgk0s0HJ6ze9eGSba/M2fj4d6t7 TVr2j5CFtIlLu05ZcbvIwNPX9pm94T8/bHpqUcLzcdteFfF45c6hP+8avm7P qI37x5T/XX5y0pFvdxybnnx89p7ffth3ctGB1Lhf05aJX2H7ke837R+3+cCE Xcdn/5az6WTO5pO5W1Jyt6bmbSsfieXD87UIfuK4iOJijph5PHvDsaz1RzPX HM5YdSh9xcG0pftTftx7cuHuE/PE07L9aEzi4anlvQrjN+z7Yu2eUeJZWr7j 3aVJ//1x68sLE56b90v/mev7xqy5f9qqu75Z3m3CTzeE7Hn7Jv7W2DUPzN80 YFnSm6IwkWz3/Db/WObarKK94p8bxFoACDekVujIaLFv/zV7evz+6ruqvvvZ 1HXf3FdlC9bv2+euHKC9K2tjs9oNBYbjIqQdTF2adOT79Xs/F/FGZMLvf+7d GKFUhM+pK+8UyVMEucVbX4zf8faa3R//cuDLbYenivgnouCRzJ9FVswo2JVX cqjYmGq0/H97dx4dVXn3AVxqbWvVLnb7x/aPnrZWOS4IYgVRilJxeREQUQwI VmUpsghFNgVkCWBCCCGEJfseMtmTyb7MJJmQPZnsmeyZPZnMZDL7yvvA2Bgz a5LJZPt+To6H3Nx758nPJ3e+d+5zn9un1g7NvgviOr2GnBEMKfmioU6+uKGx J5WE3rxad1qdRwUrhNHkS9Ivib7JpV9QirdFFGwMzH6bhPZLSQud/n/Ej7qc JOp4xk7yckWNPiTnf5dpFVzSyKmuEwDAnHP16lWSWvft22d3TaRWcArN90NV i7dYmk/1sPu1rCvvjMqr/OT1Kl7pZLRHp1eRBNjTV0ai6e3m6yQokpQSkrvW ecNHF15LXxGau+5W4SepZQdyak6T/FPZFlrfndTGyycRlARjmVKIO48myGg0 kgxP8qRQ0kz+b7ZyspidFHKuQa+/mFl1POn23hj6FnJGcC/fOi3ThudvIHsm pzPlrUHN7HSOqFqq4M2+8wgAgBkHqRXG7QdDVc9kWJv//4zXzYqQ90blVV7c KkV3zsTboFAP8AbqSJipbAsrqPs2pXR/RMGH19NXOOEqc87qW4X/Ti37L0kv JPfWdsayuLkcUdXAUKdSLTYaZ+1UBjMUSZVyVX+/lNXbV9bMzqhujyxuvJJd fZLkzyjaJv/MNy4nL57geYp/5ioSkqnlhwobvGs6ott5NPJyGp1iqn91AIC5 AqkVxmp4qOrOEUNVR32ZZlUtyE3pSd48Kq9yb/1TxkoYa+rT6pQiaUcHn17d HkWr80wu3ReWt2EiH5xeTXs5NHddHGOH6TIx2S2JviSUSmS9yCGzEjnJIuc4 fYOtnYLi+u7E0hb/vFp3cpoTRdtM4uhEMi05SyI7oVYcJjm5riu+p69sUM7G Z7MAAE6H1AqOGB6qeuByvrWkOjyranOXSM4tE6Z/ZJZXV8ha44z23s2VGglv gNnYk8po8kuvPBZD33IjY+X44gSJtSG56+IZ/8muPnW7+UZDT3JvX5lY1o0L 9zCKKdMKB1s6BUXMrjhGk29G5VexRZ8GZr89vkDrnbQoMOstSvG27OpvylnB LG5ev5SFjgcAMBFIrWDNiKGqRRaHqpq+TLOqVjbzFfdmVVXxSgVUt9F5NfY1 OSvRaNCPegm1dkggbmxmZ5BImVF5LIq2eVwDFBf6Z74RU/gxteJwYYN3bUdM O49G4odKMzgVZYPZhgRauaqPN1DH4uRUtoUX1Hmklh2IpLldG9dAFP/MVSTK 5tScqWwLbecViKQduAUMAMBBSK0w0vBQ1fNhpTaGqu7yyPGLq6bX/GBWVRWH IUjbODqvUl6XtycbSWA1aEVDnSxuXllrYFbVCRIyr6e/OtZ3fD/q8sgCt7Ty L4saLjO74rqFtyWyXrLnKawYzGUanaJvkEXCZ1V7RD7zQtLtvaF568c+cGVh QNabcYwdebXu1e2R3cISqYI35VPAAQBMQ9tGmOq2wJQxDVW9YnuoqnumR0RZ RklHj0A66i1VyS7kp2wYGVY7Av7SEPdqTeXZ4sYrKWUHQnLXeSc/P7arq9n/ l8DYlVd7rrItjGRd4WCLWjs0VfUBGBO5SsQdYDaz00tbArKqT9wq/PeNjNfG OriFnKClVx4jeyD9XyTtwNkZAADC6pxlGqoa5MBQ1bj8u0NVdfrR908ZDXpF Zzo/aQ0r8K9VIY/TIp5IjZ4fGfv0jcSxTSnvn/kGpXh77t1rpndnwh8Y6sQb NMw+Gq1cKGlq4WSVtvhnVn0dQ99yjfrPMZzKJT8fkrs2ufSLokafxp5Usiud XjXVvxMAgEshtc4p3w1VzXFoqGpFE1+uspAeNToFt6+youRQWtw/ImKf9kt4 1vF33mvpK24VfjLy/hS888JcptJI+eL65l5qSfP19IqjEQUfjmWAwcLgnHdS yg4wmvxaOVkiaQcmLgCA2Q2pddZzcFbV74aqVv9gqCqhN2j7pW3N7IziRt/k 0n2BWW86nlEDst5MYOyi1XnWdcVzRFVKtXiqigAwU5A/WKmC1yVkVLVH5NSc iS36xPH5hy8nLw7P30DSb1lrYAefPijnYHwsAMwmSK2zlUOzqloaqipXibqF JRWskPSKI2F57zk47Q9ZLTR3Xerdj318m3upAkkTJvkBcBalRsIV1dR3J9Dr LyaWfB7g8Mmjb+rSaPpHuTVnajtjuQNMzEUMADMaUuts4uBQ1W8CGMNDVQ1G vWios4WdWdRwOYGxy9GZURMX3Ix/lpK2srDqmxZcmgRwOY1WzhtgkhxbUOcR V7zd8Rk5gnPeSS0/WNri38GnDyn5U/17AACMAVLrTOfgUNUvfWmh1IbKZr5E dvdDm9rOWzk1p6Nom31SXnRoPGrCs5GxT6dGz6eHP8EMf7qv5IRuiDPVvzoA fE+hFvf2ldd0ROfUnImhb72atsyRP20/6nJK8TZanWdjT0rfIAunnwAwnSG1 zkSGe0NVU+3Nqvq5Z45ffE1+VXNDV3FlW1h6xZGQ3LWOvJH5pPwjLHV54q1n 8iOeqAx5vC3wu/ms2BGLB6t9DWrM3g8wAwwp+Z2CorLWQGr5oXt/+wsd+dsn J7O5tWfruxOEkibM5gEA0wpS6wzSJ1bkV9qfVdUzsiCOlpRTfT2t/FBQzmpH YuqNjNcSGLsKG7wbWZGdxUd7w54ze7jVq0PNUUadeqprAADjpNUp+eL6uq74 vNpzMYUf+6a95Mh49YiCjdnVp2o7Y3kDdTo9jgAAMJWQWqc5mcL+UNV/n4k7 ExoYlHEhqmBvQNbbdt+JvJMWheauS684Us4K7hIy5Kr+O3efbFXcl72tJ+Cv o/Jqb8hTslaK0Th6slYAmNGMRqNE3svi5jGa/JJL9/lnvmH/0JH8fFjehqyq EyTECsSN+CQWAFwMqXUasjtUdcuppB0e106GnLqavOs61X5MvfuBSf4H2dUn aztv3fvA5PspUg1a+VBjOJfy+qiw2hP4d7KQ/GgK6wAArqRUi7uFJWWtganl BwOz/8+RA0sUbVMe83xjT4pI2oFzWwCYbEit04TBaOzk2hiqmrr9QsAXV775 JnSHd+KaS0l2Hj5F3k0iC9xyak4zu+IE4kadXmP+itrBLvHt072hz47Kq+yI FySVl3RygeuLAADTh0o71NtXVtkWSq04HJyzxm6I9U1dGlv0Kb3+Uisna1CO uzUBwPm2jTDVbZmLhNaHqn7iHrnH+/wR/8/PRq31SnzBkQ89HLmHwmg0Kntp wsx/j/5wNeAv/KR18rZEo6WICwBznEYrZ/dXVbVHpFccDc55x26IvZa+IrHk 89vN17uEDJVGOtXNB4DZAGHV9YaHqu7/4VDVLacSd3pe/a/f4ROhbt9SXrb3 prAwNO/dzKrjtR0xfHGDIwPM9EqRlOnPvbVidF4NeqKfdkDdx3TB7w4As4NK O9QjLC1rDUwp3X8z83W7ITYkdy05XjE7KcLBFoNRP9XNB4AZCanVNawMVU37 7HzoPp8zRwO2n416yyvRzrw0AVlvppYfrGCF9PZXaLRyB1/aaDQo2fS+3F09 gX8flVc5UUsHq31Jmp3U3x0AZj25qq+dR2M0XY1n/MePutz2oexK6pLYok8K G7zbuHlkw6luOwDMGEitk8fiUNWtp+N3Xbz85fUDJ8Pe94hbavvY7kd9JaFk V0nz9U5+oUItHmsDdDLuYNVlTvQy88EAgtT35R1UI2YUB4BJIJH3trAzaXWe MfQtPil2BjiR8/G08kPV7VECcSMecwAANiC1Ot33Q1UvfDdU9dNz4Xsvnz0a sN09+g3bH6h6Jy0Kz38/t+ZMQ0/ywFCn0WgcRwOMBq2iM0OY8bGFaaxCnx0o Pq4RNTn9twYAsEhv0PLF9SSUplccsTs1wZXUJZSiz4obfcmpukqDB5oAwA8g tTrFqKGqW04l7/C4fsDv6ImQTXZHqN7IWJlSur+cFczur9TqlBNphlbSIS47 z45YbPHDVRkr3qBT2d8LAMCkUagHOvh0kkspxdvtPukgJHdddvU39d1J4z6L B4DZBKl13IaHqn594+5Q1Y/PUD6/5Hn45p7TEWsuJiy2fb9/NP0jWp1nCydL quBNvCUGzZCslSJI/cA8rJIEKy47R9LsxF8FAMC5jEZDv7Stris+q+qE3cm1 /KjLE2/vKWsNYPdX4SldAHMTUuuYjBqq+ql7xN7LZ48FbnOPed0r0c4kMMml +8pZwRxRtbOOt3dHAvTk9uft7gl+0iyv/lWYsVXRmWHEw2sAYIZQqsUdfHpR w+VbhZ/4pLxo+9w/hr6VrEnWx7RaAHMHUqsjvhuqGlu180LmtguB+32PHw/e ciHWzn2yoXnvZlefauhJFsu6ndsetaBqgHGCHb7I/MNVTvRLkqrLOhnXua8I AOBKptGwVe0RqeUHb2b+y/bBNizvvdzas83sdKdcvQKAaQup1ZoRQ1Wzd3r6 Hbx26GTYBx7xS+zcR1C8jdHk2ykomozTf+1gp6TyEvfWP83Dam/w/P683Uo2 HQ9VBIDZh8TRZnZGPvN8RMHGS0m27mkNyHozveIos5PSL23DUFiAWQapdaQR s6rm7rro8+X1/acj1l5MeN7epf8vKttCeQN1jkz1Pw56Zb+0PpiftNY8rPYE /FWQvlnWGmfQDE3GSwMATDdqraxLwGA0+cYWfWp7IIEfdfm943O4QNKERxsA zAJIrSOGqhbs9fY+fHPPmcjVXomLbBwJA7Peyqj8qq4rXjSZt7XqVWJZS+zd CawC/2aeV3kJb0uZ/jq5YJJeHQBg+tMbtNwBZgUrJOn2XttPN/BNeymhZFd5 axB3oHaSPmEAgMm2bYSpbotLCcWKvMoen1j6wateR/x32Xs01cLw/A15zPMt 7EyZUjipDdMr+oaaIgTpm3sCH7c0bHWZpNxDI2ZNahsAAGYco9EokrYzOynp lccCst60kWB9Ul6kFG+73Xy9t69cp8d8gAAzxpwKqzKFprSB559cdMzf62jA DveYVTZu/PdOWhRF21zY4N3JL1RrJ/36u07GldYHCVLfN380wN1hq2ELRIVH VLxSDNMCAHDEkJLf3EvNqTkdkrvWznQEhR8XN/p2C29PcMZsAJhssz61anT6 +va+yOzS0yE+RwO2n4t53cbhyzv5hWj6x4ymqy47fGml3dLa61bGrP6lN/SZ /vy9iq5MIyYnBAAYL7lK1MrJzmeeD8vbYHdCLSRYgGlrVqbWe0NVJYn0qm+j /L4K3GE7qV5OfjGGvq205ea9mas1rmmhRswarPbhxb9lMayyw54T0Q4qenIR VgEAnEulGWzn0ej1FyNpbt5JVm9hQIIFmIZmU2oVDMizypiX426cCP6Pu52k ujSatrOcFcwbYLpsWD6JoEp2ofj2ae6tFZbDasTigaJjZB08GgAAwAU0WnmX gFHU6BNN3+KdbHW6GCRYgGlipqfWIYWmiNl6PTn4VNhu95hVtq7+Jy0Jz9te 1hLMF9e7cgoUnYw31BzVl72tN+Qpi2GVE7V0oOSbe2NWMdUqAMDU0OgUXUKH Euytwk9Kmq/19le47PIcAJjMxNSq0eprWrtCMqLcI/fbu/d/SUjOtpKmQBcn VaNBp+KVScq/5cW/YTGp3g2rMcvFZefUwmrcYAUAMK04mGB9Uv5BKd5e2uKP 2bQAXGOmpFaD0cjq5d/KS/C4dfhs1GpbSTVxSWDWp/Q6fxcn1Tv3HgcgY8X3 5+3uDX3WclgN/Bs/ZcNg7TWNqMmVDQMAgPFxMMFeSV2SULKrghXCFzfgiQYA k2Sap1ZuvziZQfWOP+4etc7GM6q8El+4kb41p8qPN1BnMOhc2UKDelDRlT1Q 8o2Nj1XZEYv7aQfk7alkZVe2DQAAnIgk2E5BcWGDdyTNzcaDZa+mvZx0e291 e2S/lIWraQBONA1T66BcmVtJ80t2Pxf9/sWExdaT6mK/VLfU0ks9wkoXX5ox aGTK3gJx2Tle4mqL06uavvhJaySV3mphDQasAgDMMirtUDuPVlDnEZ5vazat 6+krqOWH6rriJfLeqW4ywIw3TVKrRqu/3VAemO59IeYjz3irz5X2Slx0JXlD XNEFFpfh4geaGHQqFadYUuHJT15v8alV/5th9dn+vN2y1ji9st+VzQMAgKmi VItZnJy82nOhuetsJNiArDezqk809VJlyr6pbjLAjDSFqdVgNNZ3NkXm3PSM 3fZt3MvWk+pC78S1Ufmn6zrzNTqFS1uokak4jMGqy4K0D3uCnrCaVIPnC9M/ Gqy9dvfWKteOTwAAgGlFrupvZmdkV58KzH7bRoINyV1HUi6Lm6fSYOQYgKO2 jeCaV+wRcOILI73j934b+6qNv2ivhDeDs46WNlNVGqlrGnbn3mOstZI2WStF VHSUF/+mjav/JMQK0jaSQKvilRkx+QkAAJgZVHDruxPTK47eyFhp/f1uYWSB W2GDd7fwtouvIQLMOK4JqwNSSUZZ8tWkIxdi3/JKtJpUL8a/epO6P686dlAu dEGrTAxqqZJdSPKnMGNrb9gCqzH17gwAj/OT10vKPVScYoMOxxYAAHCUSNpR 0xGdUrrfL83qtUWflBcoRZ+VtgTwBpiYiADA3OSlVqVaXcTM96ee+TZ2vVei 1afmeca/fDVlZ1ppMF/cOUktGcVo0GkGWmTNMaLCw1zK67Zi6t2k+nd+0lpx qbuyt8CgkbmmhQAAMFsZjQaBuLGCFRLP+M+V1CXWJyJYlly6r7o9SiRtn+om A0wXzk2teoOhpq0yLPuSJ2XTxYQXrH6mmvCPy4lbKXTfdm6DC2YFMerV6r46 WXP0QPHX/KR1PcFP2k6qnKilfbm7pEx/taDSqFPb3f80uaNtRkMNnQWVnDjU 0FlQSbv0Bi27v5LR5BdD32pxMlhSQ/LfGxkr0yuPNXQnDyn5U91kgKnklKNK B7edQgvwjt/uEbfM+k1Vz3vFbwjPuVDTXjLZU6rqFX1KdiGJnf0FB3jxb9m4 5f9/g1Sf5KesF98+K++g6mS8sb4cjswThxo6Cyo5caihs6CSY6LRyjv4dFqd Z1jee6NS68iv4Jw1ebXn2rh5Ku3QVDcZwNXGfVTpH+yjlsb6Jh34lmJ1kLlX 4nOecasD0r8uqstUaibr9n+dXKDiMIYawwYYJwRpH7LDF9nJqKYPVKOX9eft ltYH3Z1PdWK3U+HIPHGoobOgkhOHGjoLKjlucpXo3kQEJ81T68jbuKJom4sb fXv7ynS4KRjmhjEdVRQqBa0282bacQ/KOzaeqeoRt9Iv5UBmOUU85OQ5S416 tUbMUnRlSWuvi+iH+MnrrT471eyLe2sFiamDtdeU7EK9UuTEVuHIPHGoobOg khOHGjoLKjlxpIYSeS+zKy6t/Mtr1H9av43rxXjGzgpWiFDShOfawCxm96ii N+irWKWh2R6ecRtHPalq5DmgZ/wyn8TtCUWBPYIx3FRl49X1KrG6r07eQb0b UIuOCqibONHLzKeiInuwNocqP/EdUeHhoYYQFa/UoLF6JWXix1XsYeJ7mOnt xx5m0x5mevuxh9m0h5HbGo1GEkpNt3GRmGotwZJwSyJuXVf8oJw95e0HcC5r vbGN0xpLu3Ep4TPP+KXW/jTItl7xmyJzL9V3Vo3vpiqyB620m6RKOStxsMZv oPhrYeYnvLhVvSFPO/gJ6nepNfhJXvxb/fl7B6t9FJ0Z2sFOx082p8NfNPYw 09uPPcymPcz09mMPs2kP1rbV6TW9feXFjb5RtM3eSVZn6QnMfpvsoZWTrdRI nN4GANcb2Rv7JMK029G+Sfs8KFbn//dKXOhJWReYcZrRkG+3Jxt0Kp2Mq+mv V7LpJJdKmf7isnP9BfsF1E1cyuu9YQusfVJq+4sdsZif8p6IfkjKvGnKvRO5 IDLTj2mzYw8zvf3Yw2zaw0xvP/Ywm/bgyLYq7VAbNy+v9lxwzhprsxCQr4iC D//3LAP7c+OMtQ0A47MNAAAAwKmmOt3AXJeU9FFw7PPbrN+feDVhASXmGXr4 /JYg6w82dcpX8JPcWysEVDcR7b+SSi9Zc4ySU3T3Kv8YzwcBAADApF/KqmqL SCzZbeNZBn7U5anlBzsFRVPdWAA7/CmvmM8F55O4IDr2qdyIJ+uC/+bEXMoO W8ilrBSkbezP2z3AODlY4ydrpSjZdM1As14lnupKAAAAzFp6g5Yjqrr3LIMt Fp9lUM4Knuo2AtiRHL/WlFq9ExeEUp7OiJpfFfJ4l2MptDd4PjtiMSdmOS/+ LUHq+8LMT/rz9w0wTkgqPKXMm7KWW4quTBWvVCNm6ZX9xkl+pgAAAAA4Qq2V tfNo+czzIbnrhlOrUNI01e0CsKOhJiYk4UOSWoX14TJWvJyVKG9LkrenKjrT FV3Zyt4CJaeIJE+1sFojatRK2nVDHL1SZNDKMRccAADATCdTCht7UrKrT+Ft HWYKDLEGAAAAgOkPqRUAAAAApj+kVgAAAACY/pBaAQAAAGD6Q2oFAAAAgOkP qRUAAAAApj+kVtu0Wm1YWNiBAweOHTtGpVJVKpXt9RUKRaQlQqHQNQ2e5igU yqeffqpUKu2uOdbKzykOlhG90SKJROLv7//ll19+8cUX165d4/F4djdBbzQ3 1jKiN1okFouvXr26Z88ed3d3Op2u09mf3hy9EeYyPGXYBnI0ePrpp+8b4aWX XhocHLSxCY1Gu8+S3NxclzV72mIwGD/5yU9INciB2vaa46j83OF4GdEbzaWn p//mN78ZWY1HHnkkIiLCxibojebGUUb0RnMFBQWPPvroyGqsWrVKLpfb2AS9 EeY4hFUbDh06ZDomlJSUkLPgRYsWkW/XrFljYxNvb2+yzgsvvLDvh9ra2lzW 7OkpMzPz97//vekwazdujaPyc8SYyojeOAqXy/31r39tygYUCiUtLW39+vXk 25/+9KeNjY3WtkJvHGV8ZURvHGVgYOC3v/0tqcm7775LontkZKQpjrq5udnY Cr0R5jikVmsaGhruv//+Bx98UCqVmpaQ89mHH374Rz/6UVdXl7WttmzZQo4h 4eHhLmrlTEDC1datW0d+OGA7bo2v8rPeWMt4B73RzJUrV0hB/vjHPxqNxuGF Tz31FFl48uRJi5ugN5obRxnvoDeauXnzJinIY489ptVqTUsKCwvJkl/+8pfW xgmgNwIgtVrj4eFBDiAbN24cuXDTpk1kobu7u7WtnnnmGbJCUxOe6fy9S5cu kZr8/Oc/DwgIMF1VtB23xlf5WW+sZbyD3mjm66+/Jlnr+PHjIxeePn2aVGnz 5s0WN0FvNDeOMt5BbzRTXFx86NCh6Ojo4SVqtXrePdb+tNEbAZBarfnwww/J oYBEhZELfXx8zA8awzQazQMPPPDQQw8lJCR89tlnq1evJgel8vJyl7R3+goK Ctq9ezeHwyH/diRujaPyc8FYy4je6KA1a9aQYp49e9biT9EbHWS7jOiNdhmN xjNnzpAaLl682No66I0ASK3WrFq1yvx6VkREBFn42muvWdykpqbG/F6D+++/ 39qRfA5yJG6No/JzjSNlRG90REZGBinLj3/84/r6eosroDc6wm4Z0Rtt6Ovr 27Rpk2m8+mOPPVZRUWFtTfRGAKRWa5YtW0YOBSkpKSMXUqlUsnDJkiUWNwkK CiI/nTdv3tGjR6urq2tra0l5TUvy8/Nd0urpzpG4NY7KzzWOlBG90a6ysrKH H36Y1GTUxe6R0BvtcqSM6I02jJxdYcGCBdaS/x30RgCkVutWrlxJDgXJyckj FyYmJpKFr7zyisVNuru7yVlwenr6yIUffPAB2WT16tWT19QZxJG4NY7KzzWO lBG90TZSGVPWWr9+vY1JMtEbbXOwjOiNNigUip6enoKCAjc3N9NH1iTYW1wT vREAqdUa0x2vwcHBIxcGBgaO9TBLDtRkkz//+c9Obt/M5EjcclblZzEH78Yy h95oEhQURLIBKcXHH39se1539EYbHC+jReiN5hYvXkxq8tVXX1n8KXojAFKr NUeOHCGHgvPnz49ceO7cObJw586dFjfR6/UCgWDUHNHFxcVkkz/96U+T2NaZ w5G4NY7KzzWOlBG90ZpLly7NmzfvPpvTNA1Db7RmTGVEbzQnk8mYTOaoBwT4 +fndZ/2GLPRGAKRWa8LDw8mhYNmyZSMXLl26lCwMCQmxuAk52yU/3bFjx8iF prm1//Wvf01iW2cOR+LWOCo/1zhSRvRGi8g7PqnAAw88EBYW5sj66I0WjbWM 6I3m1q5dS359T0/PkQvJt2Th22+/bXET9EYAsEatVv/hD3+YN28enU43LSko KCDfPvbYY8MzPEskkuLi4rKyMtO3Xl5e5Ojxs5/9zDQ9EdHT02O6M9T2sw7n Dotxa1QZHan8HOdIGdEbzdXW1t5///2kLyUkJFhbB73RrnGUEb3RnK+v7333 HtYgEolMS9hsNulsZOHly5dNS5hMJikjn883fYveCAA2XLhw4b5787pvv+fB Bx8k36ampg6vQP5NlvzqV78yfatQKObPn2/axM3Nbffu3cPPPRz5EJm5zGLc GlXGOw5Ufo5zpIzojeZee+01053avzWzdetW0zrojXaNo4zojeZIBH3uuedI ER5++OGPPvpoz549pposWbJkeJDwwoULyRJvb+/hrdAbAcAGT0/Phx56yHSI JgeKUbMLpqWlkeWPPvro8BIOh/P++++bhnsRv/jFLw4ePKjX613e8Gnqd7/7 HSnLqKFc5mW8Y6/yc5yDZURvHOWRRx65z4p169aZ1kFvtGt8ZURvNCcQCEiG H67JAw88sG/fPplMNrzCokWLyHIfH5+RW6E3AoANBoOhubmZyWQqFAoHN5HL 5WT91tbWOfsxglOMo/JgDr3RKdAbnQK90RyJqRUVFQ0NDVqt1sFN0BsBAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAGaK/wee8q9n "], {{0, 229.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 229.}, PlotRange->{{0, 457.}, {0, 229.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.763963684131353*^9, 3.763963758534233*^9}, { 3.763964025880165*^9, 3.7639640617312775`*^9}, {3.7639646409800415`*^9, 3.763964641453802*^9}, 3.7639672366962585`*^9, 3.76396728901554*^9, { 3.7639673258108034`*^9, 3.7639673489070764`*^9}, {3.763969713344005*^9, 3.7639697203909235`*^9}, 3.7639703388439713`*^9, 3.763975655389716*^9, 3.763977399136651*^9, {3.7639839577065125`*^9, 3.7639839600067034`*^9}, 3.7645005250737295`*^9}, CellLabel->"Out[10]=", CellID->485311199] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->2085562777], Cell[TextData[{ "With ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["BubbleChart", "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/BubbleChart"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.763965124780506*^9, 3.76396513278006*^9}, { 3.7652979967002754`*^9, 3.7652979967002754`*^9}}, CellID->516513457], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"BubbleChart", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"AssociationThread", "[", RowBox[{ RowBox[{"Range", "[", RowBox[{"Length", "[", "#", "]"}], "]"}], ",", "#"}], "]"}], "&"}], "@", RowBox[{"RandomReal", "[", RowBox[{"1", ",", RowBox[{"{", RowBox[{"5", ",", "7", ",", "3"}], "}"}]}], "]"}]}], "\[IndentingNewLine]", "]"}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.76396414657395*^9, 3.763964204790247*^9}, { 3.763964369306779*^9, 3.7639643722540526`*^9}, {3.763964842271695*^9, 3.763964927205532*^9}}, CellLabel->"In[11]:=", CellID->649154331], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzs3XdUU9u+N/xz3vePe/+77x13nDvecZ9nPOM90kFQ9j5t37O7CmLvYkMQ 6b23QAiBEEqAEEAIQqihhBQ6KEU3KiIggoogKghKUQQUEWnud2rO5bBFkZJk rkV+nzGHA9YOIWvmt9f8ZjHXXH8843TA8v/63e9+5/av6J8DZl4/ubqa+Rz8 f9A3hx3dbKwcLc4aObpbWFm4/u3M/402tqHHxqIv3n/9KwAAAAAAAAAAAAAA AADysAQAAACA8sEdQABYseXUrbxrG54fnh+eH54fnh+eH55fkc8PqRWQEaRW eH54fnh+eH54fnh+ZXt+SK2AjCC1wvPD88Pzw/PD88PzK9vzQ2oFZASpFZ4f nh+eH54fnh+eX9meH1IrICMi1C0RXoMyg/7HC/ofL+h/vKD/cYGeB2REhMsJ 4f8dvKD/8YL+xwv6Hy/of0WCNQQA2RGhbonwGpQZ9D9e0P94Qf/jBf2PC/Q8 ICMi1C0RXoMyg/7HC/ofL+h/vKD/cYGeB2QEdQsAAAAoGxj9ARlB3QIAAADK BkZ/QEZQtwAAAICygdEfkBHULQAAAKBsYPQHZAR1CwAAACgbGP0BGUHdAgAA AMoGRn9ARlC3AAAAgLKB0R+QEdQtAAAAoGxg9AdkBHULAAAAKBsY/QEZQd0C AAAAygZGf0BGULcAAACAsoHRH5AR1C0AAACgbGD0B2QEdQsAAAAoGxj9ARlB 3QIAAADKBkZ/QEZQtwAAAICygdEfkBHULQAAAKBsYPQHZAR1CwAAACgbGP0B GUHdAgAAAMoGRn9ARlC3AAAAgLKB0R+QEdQtAAAAoGxg9AdkBHULAAAAKBsY /QEZQd0CAAAAygZGf0BGULcAAACAsoHRH5AR1C0AAACgbGD0B2QEdQsAAAAo Gxj9ARlZLoD7tQAAAABAXix/C/fLAWDFoG4BAAAAZQOjPyAjqFsAAABA2cDo D8gI6hYAAABQNjD6AzKCugUAAACUDYz+gIygbgEAAABlA6M/ICOoW+IbGxvr 7e1tb29vbGysr6+vq6v75Zdfrl27duPGjTt37vT09Lx48eLdu3e4XyYAAADS gNEfkBHULTHNzc319/ejmFpeXl6YnyJJo4uTXMQcU3G0sZh1UMw6II4+Ko41 ESc6Sni0wtzE0tLi69evo3A7MzOD+7UDAAAgOhj9ARlB3RLN27dv7969W1ZW Kslmi+MsxMytFyK/a+RuuZdp2CvYMSDe9bxo93DRnkHxrr6CnR2Zhs3JW6ui v5eE/iSONZVkhJcUF966dev169e49wMAAABxwegPyAjqljhmZ2dRXi0pkkhS KOIwg1r2D1387a/K983UHPxim6jc351nVBf3o4T5s5jrXiTOa2lpQQEY9z4B AAAgIhj9ARlB3RLEwMBAZWWlhEeXMLdeT/z5RfGe5YTVxe1l2d7m5K2FzB8l yd5lpcXd3d249wwAAADhwOgPyAjqFru5ubm2trZCQZo46tCl2B9QXp2qOjBa unfgwxyAnrwd6F/09Vjp3unqA8vMrq/K911L+Ekcvqsw59yNGzemp6dx7yUA AAACgdEfkBHULV4oT9bV1UkymBLGj1fjf7x5fmtV1Pei4G8yg/7MpX2dQPuK Q9NH/6Kvs4L+Ig75pir6+5aUrU8Kdi4nwaK4Wxr2vSSFUl1dPTExgXtfAQAA EAWM/oCMoG4xmpycrK2tzYlzSXDVz6H+JYn2VTB1owtFw4KiYktXcwrTcInU cIvSRP+ir22C1Cz8VNwoGgyqbjLt6xLm31HEHSvd+8WTrjUxP4gTbCoqyl6+ fIl7jwEAABACjP6AjKBucZmeni4rKwv3Pkqz1KZTdGz91BwY6r7ntBlZelFi /WjJV4sbS6QfnKnnE69tH6Jm76fGpOrl0f/WkPjz0ldsvb144Er8+xUGKsrL YG0BAAAAv8LoD8gJ6haLmZmZzMxMX8f9Ls7qVv4qnrFazNxNn0yqn2uhOZs8 YrSsKKqhVF0R45v2DIMl5gyg/3QVBdd4q6qqqqmpKdx7DwAAADMY/QEZQd0q 3uvXr1NTU13djCy9VVDyjBBsXlFeXdjC8ze7R2na+6kl0b66FPvDeMVnT7q+ vXiglv2DJNmrvr4edwcAAADADEZ/QEZQtwo2PDyckZlm7/OTLV2NkaW36ry6 sAVn6FnTVBlU3ZKwvw8XfXbJrNcV+8rCvpPwOV1dXbi7AQAAAE4w+gMyIn7d vnv37vXr10NDQ319fd3d3Y8ePXr8+HF/f//Y2Njs7CzuV7cyAwMDQlGerd83 rpGaLOGnJ6+urkUW6DuHa/j6a0kY3wyKd30uuA6Id0nCDEqKRLCkAAAAKDPi j/4ALEbYun358mVnZ+fVq1eLior5WflJCemxUSlRYVwWkxvDSkmI5aXzckRC cU1NTVtb2+DgIAq3uF/yFzx//lwkyben/tUzVkuGeXW+RYn13aM0PSgaKLgu cca1ibtFnOh0/fp13P0BAAAAG8KO/mAdGBkZiYuLQwnti498/fp1aWkpl8vl 8XiXL18eHx9f+vFEq9u5ubnu7u5Lly7xswXhjER3+3Czo1RzY7qNSaSDGdvJ PM7ZPM7xTKzd6SiL44zTh6kOZxl0CieFm1VRUXHnzp03b97g3oNPQ29EcXGh O2OLF0cukXW+oeDq669VEvb3z81xnajcXxL2XaEgHRUV7l4BAACAB9FGf7Bu TE1NBQcHowJLS0tb+pEoGrm5uVku4Ofn9/z58yV+hFB1i/JqZWXlubh0V9sw s6M0lFF9HTKCPSWh3sWfbAyvogDnHDerJJRgrU3o4SGJYpGktbWVaJfJoyhe W1tLizZ2ZWnKNbJKz7g6h79f0/VS7A+fW1XgbrqBOMG6oaEBd8cAAADAg1Cj P1g3UOaMjIyURtAvptbk5GT0sJCQkK6urnv37gUGBqJvGQzGEj9CkLodGxu7 fPlycmKWvTnD8gTTxz4dJdLPhdVPNqpLnoNpjPmxwHBGYklJaU9PD+59+qc7 d+7EpwTY0dVkO5d1iTmu1jTVJNpX7RkGn0ytby7sL2Z+Xyjkw+xWAABQTgQZ /cF6Ul1dbW9vP3/idOnU2tHRgR5jbW09fwsk9IWNjQ3a2N3d/bmfIkLdPnr0 SCSU+LpHmxvTfR0yVhRWP2o0N4GtCcvOPCQthd/Y2DgzM4N7596/CwWiHBuq bih/ZSuyrqUFZ+jZ+6mJGN987gYEjdwtkhRKZ2cn7u4BAACAARFGf7DOWFlZ obpiMpmZmZlfTK0ikQg9hsPhLNwYHx+PNgoEgs/9FN66fffuXUtLC0qY1iZ0 Z/O4EK/CtUTW+eZjn37GmMZicmtqarDPdK2vr6dFH5f3dNbFzT1KM5Sq25D4 8ydT66B4l5i1bzkzpQEAAKw/kFqBzKG82tDQMDc3V15e/sXUGhsbix5TUlKy cGNpaSnayGazP/dTGOsWRVa0d4kJ6ebHaL72azrFurgFuRVYHg+l+XEqKyq/ eEma/IyOjubk86yo6pEKmRuwsEUINltTVPPofxsr3fvJ4FrC/HuhkI891QMA AFA8SK1AfsrKyr6YWlHERY+5dOnSwo3o26WntmKs2+bm5gRO2hnjoADnHNlG VmkL9pRYnwqneMRcuHBhcnISyz42NTXR2ad84rUVHFmlzSNGi0nVu3l+6ydT a/25nyXpzL6+Piw9AwAAACNIrUB+lpNapesMXLt2beHGGzduoI2BgYGf+ylc ddve3n6em2VuTKO65MkjskpbiFeh9clwuj8HpXfF35Jgenq6qEhiHaCzlnu2 rqUxczbZ+6mVMP/+ycUEOjINxYmOd+7cUXC3AAAAwA5SK5Cf5aTW0NBQ9JiP 7jKPQizaiALt537K8jNk9tI/ZWhoKC+n4OwJGsUpW36Rdf6Mq8UxRmxUyq1b t+S6U4v19vae49GcwzWwRFZpsw9RT6Z9/aRg5+LU+lS4U8w+CbcbAACAdexz ozykViA/y0mt586dQ4+pqqpauPHixYtoI4vF+txPKb5up6eny8srXKyZ7lZc eUdWaQt0zTc/RsvKzBsYGFDknjY3N9Oijf25OhhTq2+CNoOq25LyiUkCY6V7 xeE7qqurFdknAAAAiABSK5Cf5aRWPp+PHlNQULBwI/oWbUxJSfncTym+btva 2qLCuNanwhUTWaXN0/q8q20YivSKnCdQWVlpT/uamau4Ba8Wt5AsPVeKRlX0 95+8SZaYuQW9SIV1CAAAKMb09PTg4OCDBw9u3bp19erV2traixcvln+AvkDf oo2tra3oAUNDQ0RYI1HxILUC+VlOapVeeOXv779wI4VCQRuXWOBIwXU7Pj4u yBedPUYLdM1XZGpFzfIEMy6Gd//+fcXs6dTUlEDItwxQwRhZUWOJ9C38VETB 3yye2jpVdUAc8m1paaliOgQAAOTt5cuX7e3tv/zyi0giSM4Ii0p0pkUf92Ru c6Z/Yx/4lbW/DmroC/StF9OAHnMyOtE1JTNSIhHW1dV1dHRgXHBG8SC1Avn5 ZGodHR1tampqaWmRfjs5Oenk5LTwgiz0WRJ96+rqusT/iQquW/RqQwITnMzj FBxZUaM4ZduaBVeUVyjmdOuLFy942WwHhjre1IqaTZBaZtBfRhetf4VyrDjk 7x8tlQYAAKQzMzPz4MGD2tranPzUiAQ7D8YWS381J6a6F0fLn6sTnKHHzNkU nr85UqiPGvoCfUvP0PNP0vGM1XIMVbekqKNky0p0zBWko8Tb3d2t+Kt3FQ9S K5CfT6bWhoYGtNHKymp+i0QikW5hfyC9ScHSt5tXZN2+fftWLJKYH6MFuRUo PrWiZnUyLCGWp5ibvT59+jQhlerK0sSeWp3CNLi0rwfEuxbf11Uc+lNFRYUC egMAAORhenq6o6OjtLQkPsXfI3SrFVUVBVEUU1miFSyRzRLq09N1PWK00I97 MQ0TeUEVFeVdXV3re+YApFYgPyhaoALLyMhYuLGxsRFttLW1nd/y7t27kpIS Ozs76eWB6D+JxeKln1mRdfvw4UM2K8XudBSWyIqaj12ah2NEXV2dAnb28ePH scneHjH4U6tLpEYC7au+RcsIvCrfJw4z/OjyPQAAIIvu7u6S0mJ2srcD7c9O TPWgNN0o8Zru54KybmCqrkOouhP9m7gUCsqu63hFa0itgCDm5ub6+/ufPHmy nKX1FVm3v/zyi5ttuK+DjG+DtfwW4lVodiQwP1eogBtCoYgeneiKPvVjT61u UZqcQP2evB0fpdYB8S5x9NGrV6/KuysAAEC2Xr16hQaU1KwoZ/o3zuEaIVl6 sj1sBmfoOYaqu4X8kM7noIPkxMQE7j2WPUitgIwUVrfT09MikcT0CBVFR1yp FTV702hOdOrjx4/lvb89PT3s9+da8adW10jNBNpXvYKPU2sXf7s4wba1tVXe XQEAADKEDuCSIiEt2tiGpkrj6crv4ElN2WgdqBbMNikuLnz69Cnu/ZYxSK2A jBRWtwMDA0kJ6Qpe8Gpx87RJ8feKaW5ulvf+PnnyJCGV6haFf4bAh3mtX/WL Pp7X2sjdIuHRuru75d0VAAAgE+/evWtpacnMSXSi/80jRpMlXNN8gOW0SKG+ K0vTNfg7fl7K7du3cXeALEFqBWSksLrt7Oxk0s+5WCTgTa1Ulzz7s4za2lp5 7+/w8HBqVrRDKP41BGzpahlBfx4p2fNRaq2I+LZQkPbq1St5dwUAAKzd7Oxs fX19Io9uTdWgpmxU5FHUn6tjQ9U+nxHe2Ng4NzeHuydkA1IrICOF1W1zc7Of R7S3LQ9vag3xlJgdpSpguae3b9/mF2RZUVXxRtYosb4F5f16rVNVv1mvFYVY cZgh3GIAAEAKMzMzdXV17GRv60C1UD6GW7eEZOlZU9UTUgOvXbu2PoIrpFZA Rgqr2ytXrrjYMP2d+HhTK2pmR2n5uUKUKuW9yxUVFbbUzWF5mzGmVkaWngtF /SLru49OtLbxtomTXNva2uTdCQAAsEYoJV69ejU6yc0mSA3jEZWZs8maphqX QmloaHj37h3uXlkrSK2AjBRWt5cuXbI/ywh0ycOeWs8eC8nOynv9+rW8d7mx sZHKOhyQrNC/ZH3U/M7pBFM33jy/9aP7C5SHf1uYzxsZGZF3JwAAwBqhY2lC KhUlxvB8nCcB3gfX3E3Wgerc9ND5+/uQF6RWQEYKq9vq6mobMzrNTYA9tVoe D03n5bx8+VLeu9zT0xOf4u8SoYHxGOsQqp60aAGBhzlGYvZJ9DlC3j0AAABr dP/+/ZQsljVVnZmDYWLA4sZ4P1VAK4MfT/ZLWSG1AjJS6LlWc6Kca83KVMS5 1qmpKXFhgVWAZoQAz/mBsLzNtn6qhYz/fnvxwMITrRcivyvkJ6y/hVwAAOvM 8PCwQMS3C9SnZ8h4Rda1tPd3IqD9WVJYMDY2hruHVg9SKyAjRc5rdbZmBjjn YE+tZ44G5eYWKGBe668f7rpLizb2PaeN5dDqxdFiUHUbuVsWnmhtzzAQx5oo YBUFAABYi5mZmcrKSu8wI594PIfQJZonW8ufdaCmpoa8V2ZBagVkpLC6bWxs 9HWL8rFLwxtZQ7wKTQ8HFBUWKWYu/fPnz7NyuVZUVQWsK/hRixBstvJX4dP/ +qL4n2tejZXuLWL+UFiQOTw8rIDdBwCAVbtz5w7nvA8R1g9c3FgifbtgtUQe vbOzE3c/rRKkVkBGCqvbe/fuMWgJrpaJeFNroGu+7Zlg9AFZMXuN1NXVBbAO Kv5cgSdbix6gczX+p/nIOlV1oDr6ewkvcB1cRwAAWN9evnxZIMqxpeqGEmM6 6+IWnKlnH/hVYZGIpPd7hdQKyEhhdfv+XlGxPFsTFt7U6m3L83WLamxsVMxe IyMjI/kFmTZULUUu2MLI3mRLURWE/G20dO98am3ibhFzzqDEPjs7q7DdBwCA VWhoaKCzT3nG4r8p9hLNPUozLN7q5s2buHtrNSC1AjJSWN1OTk4K8oWmRwLx plYHM3Z0xPlHjx4pZq+lWlpaYrgeDgz1KLEi5gmwhPq2dLU4mn4bb9t8ZL2d tk0cdbC0WKKAxRMAAGAt0GEqT5BhFaAeWaDouVUramF5m62p2kJxHhlPt0Jq BWSkyLqtqalxtAylOGXjiqwMryKzozR+tkDBtzGdmZmpqqqiRO7zZCvivIEr S5MWoFMV/f38/bDupBmII3YXS/KHhoYUueMAALAKTU1NjFgzbw6hT7RKm3u0 ZniCbWtrK+4+WzFIrYCMFFm3nZ2dkUyugxkbV2r1c8h0sWZiuXx+dHRUUihw Cf5W3usJeHG0PCgaEsY3Yx/mBkxXH3g/MYB1sFicD0tdAQCID/uagStqzNxN tlS9kpJi0s28gtQKyEiRdTsxMZGfKzQ7GhjsIcaSWm1NWDGslK6uLoXt8kL9 /f0CYZYD7c/yC67eHC0XinpByN8GxLtQZH1Ztrcm5oeUwN1RkWEtLS3r4BaE AIB179GjR3EpFLz3Z1lRcwxV56Yz+vr6cPfcykBqBWSk4LptaGig+rBdLc4p PrIGuuRZngoqLi5GH+QVucsL9fb2ouDqEvytJ1tLtnNcWUJ9tyhNd4qGIORv fQU7p6sPdGQaihnfeDlp7jz5v92DdiRnhF28eLG7uxuyKwCAyH755RdvpmFg qi72OLrMFpC80Z91oL6+HnfPrQykVkBGCq7bkZERfrbgjDGN7i5S/IlWFpN7 9+5dRe7vYv39/ZJCASVirwNDXVarCoTmbLKjq1EDdCSMb/pFO7vzjC6yvkuk fWXvp4aibHj+ZnRQtQtWcwv5gZseWltbC4u1AgCIaWpqSijOs/RXZYkIfR3W whZZoG/lr1lYJCHXJAFIrYCMFF+3jY2NDFqCvWm0IiOrr32GvXlIWWkZxhOt 80ZHR6uqqmK4HjZULZ947bUcnCOF+l4cLRuKKidwc3Ho328k/lwR8S2X9rUn RdOWrvbRPRCD0nRRuPUN350j4LW1tZH3li4AgPXq6dOnSWkhzuGkmR4gbQ4M dV5W9PPnz3H33wpAagVkpPi6ffPmTVFRsa1ZsMLuk0V3F505SktNzu7p6VHw zn7OzMxMS0tLXkFGAOugFVXV95z2Shd4iRBsRonXKkDF21szwkEvye2rbNpf WNRNLhT19+ddUzZ+8qeixProd9lQtRNSAy9fvozeC9w9AQAA/4Q+UIfEmvmd 08EeRFfUvDla4Qm29+7dw91/KwCpFZARlrpF6TGdl3PGmBbomi/vyMrwKrI+ Fc6kJ16/fl3xe7q0Fy9e1NXVZeVyA6OPWgVoukRoBCRvXHraADN3kz9Xxzlc w8JHxdZB1d5ExcVczc9by5mibhmg4h6tGfzb86ufbKH8TbZ0tWC2SWVlBSzf CgAgDnRI9GD8HJz55eOYbBtLpM/I3hSYqosOwqjReCu7J1dQmq5v+C4CjjJL gNQKyAhX3TY3N3OiU82N6UHuQrmmVnvTaG8XVmVFJRHmBnzS8+fPGxoaxIUF cSkUKuuwFWWjFVXVMVTdLUrTI0br/UpWMVquLE2HUHW03dTzj0ft/88+s/+1 3fj/PWDxvy38VdDD/M7poOPtyg7RQn2nMA1K5L6SkqLR0VHcfQAAAO+Vl5db B2xU2JpXUWL9wNSNzuEaln4qTs4bvK1VKGdVKBYqXjYbHFw3WPqroGMvPf3L 14Uxczc5Bv2lqqoKd/+tAKRWQEaWCyjy987NzV25ciWCkWRxjBHkViCnyOpo FutqG1ZSXEL8M4ooVHd3d2dlZTm5mxmd+F8m7v+fue+GxQ0FV3QU9efqrP2W Mehw7Rqp6Ru+u7y87PXr17g7AACg7NBhUCDko6OcYiIryqs2NFV3+w2sIyrp BqoSI42qPdqX9umgdmG3lmi7Rup21bDjKo7OG+xD1EOyljr9iw6nFhRVSaGY 4NcLWP4W7pcDwIphrNvp6enLly+zmFxzYzrVJU+2eTXEU2J7muXhGFFUWEyW S+bv37/Py2ZbU7WCeBuDM/SoKRtROvVL1EH/oq+DM/Vkfv4BHWmdwzVo0cbV 1dUzMzO4OwAAoNTGxsYy+An2IWryzquRQn2XSA0UR+P2vQ+rN4/o9Zt+/fzM nz9qvSZfNxzSzTdUQ7HW1kPFm7PUioUoAOcIeCS6WABSKyAjvHWLktK1a9cS Ynlnj9E8bVJkFVmpzrlnjYMDfWPLSsvI8udvFK0FIr5doH5QmkJXKWQJ9e1D 1KOT3BobG3H3AQBAqaHDYGpWlBNTXa4HPfTx3y5YzddKhW+oduuI3uKw+lEb MvtT/UFdnpGqq8MG9DH/c6u+oOfMyk1U8O3C1wJSKyAj7HU7NzfX1taWnZXn aBVqfSp8jddnhXhKnM/Gnz1Bi2fzLl++PDExgXfvlml2dvbChQveYUY+8fK9 3+snW1jeZmuqejo/vre3F3dPAACU19DQEDedIddlryKF+ihe0k+riLZrdJ/6 6ouRdb7dO7YZpVxv6w0ukZ9+eQ6h6rxs9sjICO5eXC7soz8Aq0CQuu3v768o r4gOTz57nOZgGhO48gkDwZ4SN8sks6O0AC+2QCC6c+cOwecXLYReLee8Dzro KT6ySltg6kaX4G/Lykunp6dxdwYAQEmhgSCRR3eN1JTfsQ5lTl+r95H16elP TAlYuqGUm22o5uK44ZOnF5yY6imZLLJMSPuVMKM/ACtCnLqdmZm5ffu2WFwY zki0PEmzOsH0tD5PcxV8Iax6iH3s0+1No82OBvp7xmRl5l29epX4114tND4+ XiDKsaXqhvJXtg6AbJtTmEZ0kmtbWxvu/gAAKKlnz54lZ4TJ71wr+nju6LyB b6i2orOsC9vdY5tTjFRtvFUWr4vlwFBP53PIMiftVyKN/gAsH9HqdnJyEmXX 0tIy7rkMf68Ya5OgM0eDbEwinc3j3KySUI71tElxt+K6WLy/u5bFccYZY6qH Y2RM5Hlhgfj69esk+pw77+bNm6Gcs55sLYyRNfrDyi021I3iwgL0FuDuEgCA MhoZGeFls+X0V6cosb4NTTVun+py5rIu0X7Zr8M8rrI4WtvR1bJyuePj47h7 cbmINvoDsBzErNu5ubmnT582NzdXVlby+YLEhPRIJjeEGk/zjaX6sOkBcWH0 xDg2L52XU1xUfO3atQcPHpA0a01MTAhFedZU7fB8Ba1PuERzZWmyEp3u3LmD u1cAAMro1atXWblJKP7J4/hGTdnobr9BYqSxlsiKWr/p19kGarbuG5i/Pd1q HaiaX5D59u1b3L24XMQc/QFYGvHr9vXr14ODgw8fPrx3797t27fb2tra29vv 37//5MmTsbExEk1e/SS0UygoukfJcR7X8ltozia7QP2yslKy9yoAgIxmZ2fF 4gILioo8jm/vL/8/onJzbSdape3yPp0g0/cLYc0/OUuob0nRLCkpwd2FK0D8 0R+AxaBu8bp48aIL/e+Kv33h55p9iHpKRkR/fz/ujgEAKCN0SLSnfb30ja1X 0VgifUu/97cS+OS6rCttncf1E/aqLlxXlpG9yTX4u0uXLuHuvxWA0R+QEdQt RiMjI5k5iTY0Bd0IZjmNkqRDizZuamrC3TcAAGVUX1/vE7ZD5stWo1Tp5CyD 6QHSNmT2p6xtqha+KvNrt1LPb6SyDpHryAmjPyAjqFuM7t+/H5Xogv06rIUt LG+zXaB+ZWUl7r4BACijjo6OiAT7hX98l0kLTN3oY61StUdbJqkVNbGRhoPr P6e2ukdrsrkeDx8+xN1/KwCjPyAjqFuM6uvrfcN30XgKvRnWF5sNTZWfd55E d3gBAKwbw8PDvGz2+xv2yfSwFpC8kXJW5dI+HVml1uIdmi6OGxhZevOHzexc LrkWXYTRH5AR1C1GlZWVtlS9CAH+1QMWNleWZkIqta+vD3f3AACUztzcXHFx kXWAtmwPjO9Tq4W8Uisz9/11rBUVFbg7b2Vg9AdkBHWLy/T0dIEo19JfLlfL rqX5xGuHJ9h0dHTg7iEAgDJqbGykRRv7JerI8LBG4+l62Wy4sFtLVqlVuF3D zm2D9KoxdMxkcM7cunULd8+tDIz+gIygbnEZHR1N58fJ/A9ha2/UlI1U1uHm 5mbcPQQAUEYDAwMpmayFV+ivvYXmbHJw2SDaLpursQZN/5RhoHrWTyVK/P5q LBuaambOOdLd4wZGf0BGULe4PH/+PCUj4v19VHHH1I9aUJqub/iuhoYG3D0E AFBG7969Ky8vd6D9eX7WqEyapb9K6nbVXhMZrHx199jm2AOq0nt4oQOma8j3 VVVVuLttxWD0B2QEdYvLwMBAIo/uEkm41BqcqecRuu3q1au4ewgAoKTu3bvH 5nq6RMjy8OjK0gw7rtJwSHftqbVqj7a/uYrvOW30tCi7JvBo5Fo9QApGf0BG ULe49Pf3J/KCXCMJcVeshS0kS8+DseXKlSu4ewgAoKSmpqaKiwttqZtD+Ztk dWSjp+s6Om8QGKoPmf1pLZG11+Tr9O2q1t4q4fmbgzP0HIP+Wl5eNjs7i7vP VgxGf0BGULe4PHv2LDkjzDmccOda0bHdJ2zH9evXcfcQAEB53b17l831dGLK cua/fYh61BHV+oNrOt16cY92kKmK9Dbc9iFqCamB9+/fx91bqwGjPyAjqFtc RkZGeNlsBwbhrsYKTNWlsPaT6yYvAIB1ZmZmpqKi3C3kB2rKRlkd3IIz9Ww9 VHhGqh3HN68usjYd1ju3R9XKTyVCsNk/SceLaVhVVTU3N4e7t1YDRn9ARlC3 Mjc9PT06OtrX19fZ2Xn37t3W1tabN2+if9HXaEtvby/Kq1NTU5OTk/kFmVZU At3OVdr8zukwOObo1eLuSACAUkNH0XQ+x4qqJsO1W705Wq4OG/iGat2nvlrF RVipRqq27htQkA7L22xNVc/O5Q4ODuLup1WC0R+QEdStTMzMzPT397e1tdXU 1AiEIi6Pz2TzfBmJbrR4B0qsjXcM+tctMM4n5ByTnZqYys8XiNAn9Li4OEuK VqRQH3tSXdjcozU5530eP36Mu1MBAMquvr4+PMFWhmutRIn1ncM1vK03ZBuq tR9bwRnXpsN6KLI6O21AuRc9yfs/kyW5kfpvUjD6AzKCul2joaGh5ubmwqKi 6IR0V2rcYZvQLSdphmfCdlrH7nVI2u90/oAL75BbOvoXfb3XgbvLOtbwTDh6 zEFrxiFTZ3OPPwVnyHJ1l7U3u2C1dD5nZGQEd9cCAJTd27dvKyrKvZiGPvHa sjrEsUT6LhEaLo4bUoxU6/Zv7Df9wlpYvSZfX9yjfW7P+7OsKLKiZ/Bka1Ei 9lZVVc3MzODuodWD0R+QEdTt6rx7966vr6+mpiaJx3f05xiZ0rafjUS51Ng7 z4RWupxm7CPYcipop9lPMjwar71FCDZbB2gXlxShHcTdxwAA8H5pa4Ew24H2 54BkmU1wjf5wQysbb5Ww4yrZBmq/7NfpPK7/0doCg6Z/untsc9Ue7fTtqkGm KlZ+KtIZtn6JOs70/xZJ8kdHR3H3zZrA6A/ICOp2FQYHB9GnbA4365RT+LbT jH2OySco4mWG1YXtsEe2kZkloS7ICkzd6Bu+u76+HncfAwDAP/T09PDzUmyp ekFpujI83IXmbHIO17B134BCacJe1axtqmIjjeIdmqgJt2tkGKjGHlD1N1ex 9n6/YoB0bi31/EYH2tf5BZlPnz7F3StrBaM/ICOo2xV58+ZNQ0MDLzPPxDnc wDT0kFv6KsLqfDtFLd5yMtDUS4eZK7M1CdfY0DE8ISWgu7sbd08DAMA/dXZ2 ZvDjbai6MlxSYD67enO07EPULHxVHFw3uDi+b/ZuGyz8VBxC1X3PaYfn/+Na MP8kHbtA/exc7qNHj3D3hwzA6A/ICOp2+QYGBkpKSj3oCdtMgg44p64lr863 XTacQ3Y7CTJJ4MP0AC1JoXBqagp3ZwMAwG/cu3cvK5drT/vaL1FHHgdAlkif mbOJkaWHWlje5ijxb66TRUdpx6C/5gh4Dx48wN0TsgGjPyAjywVwvxZCu3Pn TgZfcNSOucMy5oS/RCaRFbWj3rkGJs6WAaosAqwk4B2nHcw2IfVVsQCAdezR o0d5BRmuId+7RmoqbPUV9HHeOVzDI3RrgTi3r68Pdx+sieVv4X45AKwY1O0X zc3N3bhxg52Ysd1UZqdYF7bt5hFHHX/2OyeXswfLb5EF+lYB6rmCtLGxMdxd DgAAn9bf319SUkRnm9gEqQVnyn0BFnq6rjVNlRlnUV5e9uzZM9x7L0sw+gMy grpd2szMzNWrV5ls3rZT9OWvD7CidsSTb2DiaOEvy5W0V9E82VpoIIAbuQIA CG5iYuKXX35JSguxD/xq/jopmbfw/M2ukZqOQX9JyYhAo8Dk5CTu/ZYxGP0B GUHdLmFubu7atWt01vltp0OO+RbII7JK2w6LqIN2u6Q3tsbSGNmbbKl6InH+ +Pg47l4HAIAvePfuXWdnZ2GRKJRz1ipA3ZujJcPsivIq+hRvFaAZnmBbXFz4 8OFD3LsrFzD6AzKCul1CU1NTBIe3zST4OEUkv8iK2nE/4daTFBMPvcBUWa7r sszGEurb0dUSUqnt7e24uxwAAJZrYmLixo0buYL0YPZpFDLdozXXeNMWeoae W5SmNVUbhWGBMLu5uXn9nWKdB6M/ICOo289BH+TjuFnbTOjHfAVyjazSdsA5 1dDUzoKiHpan6HkC7lGatGjjS5cuzc3N4e51AABYmbGxscbGRoGIH5Xo4hL8 rQ1N1ZOtRePpRhYs63KtCMHmwFRdjxgt60BVN8aPMVx3oSjv5s2b6/4PTzD6 AzKCuv2k58+f5+SLdprRj3rlKCCySttOq5g9lsds6Qqd4OoTr+0W8kNRsXjd H6IBAOvY69evOzo6qqqqsnITWYlOvuE7rfy1UIJ1DtfwjNXyPaftn6RDPb8x IHkj+gJ9i5KtU5gGeoB1gI5v+O7oJNfs3OSampr79++/efMG994oAoz+gIyg bhebnp4ur6gwcQ7f58hVWGRF7SS1yPBM2AHbffYh6ss8S7DGRknScQz6i0DE HxwcxN3rAAAgAyMjIyh5Xrt2rbikiJ+Xwk0PjU50ZcZZBrNNaNHGqAWzTzPj rKKT3JLTw3LyeaWlJfX19V1dXcq2fAqM/oCMoG4Xa21tpUUkbz8bqcjIKm0n /CUGpoyDtrvt6GrzN2SR31lWx6C/5grSent7cXc5AADI2Lt3716/fo0+kj98 +PDevXu3b99u+QB9gb5FG4eGhiYmJnC/TGxg9AdkBHX7kdHR0Zx80fbTQcf8 hIpPrf8IrmbMfdaHrahqa7yy4HONJdR3ZWm6MX5cB4tmAwAAWAUY/QEZQd1+ 5OrVq7Y+MXvtE7FE1n9MFQgo2n42cscZC1NvbZ94bZZIlrMFQrL0bOlqdPbJ 4uLCoaEh3P0NAAAAAxj9ARlB3S704sWL9Oz8raeCTlKLMKZWadvrkLT1lIex 048oZAalyWBFrAjBZvdoTXuafiKPfvny5devX+PubwAAAHjA6A/ICOp2oevX r9v7sfc6KPQirCXaUa9cAzPmDvOzp9y/cmCo03i6UeLVnHcNy3u/aLY1VSuU c1ZSKOzs7IRFrgAAQJnB6A/ICOp23sTERG6+cNsp2smAQux5db6dCizZ75yy 9VTQLnOzE25/taKqesZqBWfoLWfaADN3k3+SjkOoui1VjxlnKRDlNDU1KfPV BwAAAKRg9AdkBHU7r7OzkxaRvMs6FntS/UR2pRYfcE41MA3dZuJywHYfiq9n /VRRHHWP1vQ7pxOQvDEwdSONp0s9/34pQi+OlnO4hjVN1T7wq8Doo9x0RklJ 8a1bt2BFVgAAAFIw+gMygrqdV11dfdSOecSTjz2jLtGMffL32J8zPBP2wxG3 nw/s8Qg4Gco5S4s+HsA6SInchzJqMNuEleiUlMbIyU+trKxsbm5+8uTJ7Ows 7t4FAABAIDD6AzKCupV6/fp1Vo5g6yk69ly6zHYyoPBHY0oYi3P9+vXW1laU ThsbG6VLEXZ1dQ0MDMCZVQAAAJ8Doz8gI6hbqZ6eHiY7dacVG3scXX7bbRtP DeeijIq78wAAAJAMjP6AjKBupZqammx92QdceNiz6PLbIffMM26s+vp63J1H Dm/evBkdHX3+/Pnw8PDY2NjU1BTuVwQAANjA6A/ICOpWqqam5qAV45ivAHsW XX474S/ZYRZUWVmJu/OIC6XTe/fu1dXVlZSUiLPSREmxQk6EMJ4l4sZJcvnl 5eUNDQ0PHz6cnJzE/UoBAEChYPQHZAR1++uH21UXFhVtPUE9RS3GnkVX1Lac pOUXiKanp3F3IbGgN7S3t7e2tlacniKg2OecNswy1CowVC/eoVm+S6tsl1bR Ds08A/WsXZtyLfcXMHwKBXnXr18fHh7G/cIBAEBBYPQHZAR1i4yPj6dn5W87 zcCeQlfaDM+EJaXyR0ZGcHchgTx79qy6ulrIiUBhNd9QvW7/xnvHNg+a/un5 mT9/1J6c/vq28aaqPdp8Q81ch+PitPMou8ItwwAAygBGf0BGULfI8PBwHDdr +9lI7Cl0pW2nVUxkXFp/fz/uLiSEubm51tZWcXpKzpldEiONtqObnpl9Iqwu bgOmf7p+UDdvu2aeu3mJWNjT04N7VwAAQL5g9AdkBHWLDA4ORiek77CMxp5C V9p22XAYMSm9vb24uxC/qampy5cvF4RT+UY6jYd0l5lXF7Z+069r9+pkH/xG nJJw69Yt3Dv0WdPT0yMjI319fY8ePbp//35HR8eDBw+6u7vRh5dXr17BvXoB AMsBoz8gI6hb5MmTJ0w2bych74q1dNtjl0CLSEbpBXcXYjY5OVldXZ3vbS02 0ug+9dVK8+rCdtt4U84ObSGb2djY+O7dO9x79g8zMzMopra0tFRVVQkKREk8 PqpY9Nb7hSZ6BydQmEl01nlWfDovM1ciKfzll1/a29ufP3+O+1UDAIgLRn9A RlC3SG9vLyM6ZZcNB3sKXXFqtT8XEMZ98OAB7i7ECSW62trafI+zxTs0n57+ ei2RVdoenNDP266JgitKibh37lcUPpuamgqLilAodfTn7LdkbDlJMzwThj5k oc8sex2S9jlyURnsto3fYRltYMrYejLwhGO4d/A5lGwvXLiA4uubN29w7wQA gHBg9AdkBHWL9Pf3R3DSdlrFYE+hK20oq9BZ55V8HuaNGzcEQe4SI41+UxlE 1vngmrNDW5wc393djWu/hoaG6urqeJm5jpRYo9M0o7Os/c4pX1yc7RS1+Ign f699IkqwB6wYFGZSgUiC4jdcZQYAWAhGf0BGULe/fogH7MSMHRZR2FPoSttO 69iwWN6TJ09wdyE2KLGLuJy87Zq9JjKLrPNTBbIP/LVYVKD4e+NOTEw0NDSk ZuRaeERtPUXf58g9QRGvojyMvfN2WcduPx3kRU8QiiUdHR0w6xUAIAWjPyAj ywVwvxZsRkZGElP5hmfCsafQlTYjCxbK2yh14+5CPKampspKSvhHvkUJU7aR Vdou7dPJczG5du2aIncK5XCxpMidFr/tFH2/c8ra1xA+ThHtsuHsOkMP5/Cq q6vHxsYUuTsAAOKw/C3cLweAFYO6/fVD+MkVCLecCsKeQlfatp1mpGflK/5k IEHcvXtXQHOv3K0lj8j6/MOKWPmGGuLUxGfPnilgd2ZnZ5uams6n5eyzCNll HXvCXyLDUjH2zjM0Y1p6RgvFhUo+pQQA8CuM/oCcoG6lysvLjU7TZJsT5N1O BZZsPUEtLCoizqXuijQ9PV1aVJi996tHJ9e0aMDSrfGQbq7NoatXrypgd+rq 6hjRKQYm9EPumXIqmN228fssglMzctvb2+W9RwAAIoPRH5AR1K0UCgwnHcOP ePKxZ9HlN2MfwSFrRk1NDe7Ow6O7u1sYEVixS14nWqVt0PRPuYYakpwsuV7N NDU1VVtb6xeauO0045ifUK5lc8gt3cg0KDGF39raKr89AgAQHIz+gIygbqXu 3r3rRX+/jhD2LLr8tt/pvJM/h8jr4cvV1atXc8x3yWlG68JWu1dHQHO7f/++ nHZkZmbm8uXL3sHnDM2Yijnbjz6dGZq8D65wxhUApQWjPyAjqFupoaGh9zd1 NY/AnkWX33ZYREXGpSnnAgKzs7PFEnH2dq1B0xXfA2ul7e6xzTlndspvkkB9 fT0tMtnAlKHICSoouBqZBqVm5GJc2gsAgBGM/oCMoG6lUAoSFxYamJBmautJ atHWk7Q8gfDt27e4Ow+D4eFhUWJM8Q5NeUfW5x+uycoy0i4pLpbHjnR2dnK4 WdtMgo9TRAouoUNu6XstggtEElhVAAAlBKM/ICOo23k3btyw9Yk54JyKPZEu M3KccWNduXIFd7fh0dPTU8DwubRPRwGpFTXhdg1xJm9iYkK2e/HixYvcfNHO M/SjXjlYqmiPXYKFR1R1dTX61CbbXQMAEByM/oCMoG7n9ff3c7hZhmfCsCfS 5TQjC1YEJ+3x48e4uw2P9vb2fC+rhkO6ikmtZbu0hPGs58+fy3AX3r17V1tb i0IjxtnUpwJLDM2YTDbv3r17Mtw1AADxwegPyAjqdt7c3FxZefk+i+Cj3rnY Q+nS7ZhvwU4zuqSoaGZmBne34XH79u08F5Pmw3qKSa0X92gLo4MHBgZkuAsP HjxgJ2YYmDLWfh+BtTRj77ydZ+gFIgnc8hUApQKjPyAjqNuFOjo6gqNSiH9r 153WsRRmEkpuuDsMm9bW1lynky1HFJRaq1BqZQX19/fL6vXPzs6ij0gHrBhE WGxtt02cR1DCzZs3ZbV3AADig9EfkBHU7ULT09PFxSW7zenGPvnYs8Tn2jE/ odFpmlBc+ObNG9wdhs3du3fzPMwbFTVDoHK3ljA2TIZ3zn348GEEh0eQNStO UMTbT9MEBWKZT9wFABAWjP6AjKBuP3Lv3r3QmFTDM+HYs8TnmpEFixrOVfIl 4ru6ugRU5yv7NyomtUqMNMTnE2R4rX1VVdURW+Zhj2zs5SRtu2w4vozEO3fu yGoHAQAEB6M/ICOo24/Mzs5euHDhhGP4ARce9iyxuB1yzzxsE1paVjY1NYW7 q3AaGBgQRjMqd8v3xljzjb9NrVAokNWF9sPDwynpudtOh2Avp/lm7JO/zyKk srJSOe8ODIASgtEfkNH6q1sULd6+fTs9Pb3q8be/v/99qDAJOi7ne2uutJ3w l2w9RU9M4Svt0gHz3rx5I+Fn5RmoKyCyPjypzz/6bXV1taxefGtrqxstnmg3 YjMwDUWlJcNZEAAAIlt/oz9QBmSvW5Re+vr6UAy4du3ahQsXioqKhGJBfkFW gTBHLBGVlZVdunSpqanp/v37IyMjy8+x6EdokcmGZ8JOBZZgjxPzbfvZSF9G Yn19vVy7lCyqqqr4h799cEJf3qn1+kHdPDczGU7JuHjx4n7LkGO+AuwVtbDt deB60BNgkgAASoLsoz9QTiStWxRWURCtra0VCLMTeDQ628SLaWgXuPmsn4ql v4p1oKoVVfUsRcWKouUa8n0A62BUoksGP760tOTmzZvPnj374vPPzMxUV1db eEbvtonDHiekbY/9OROXiIrKSiWfGzDv7t27Aj/7OvlPbZUYaYgS2bI6CTkx MZGdK9h6io69oj5qR71yj9kz0ac8mewmAIDgSDr6AyVHurodGxtrbGwsEOWw uR5ujB8tA1RcIjQoSTr0DL3w/M3Rkq8WtkihPiN7EzVloydby46uZkPVQ/k2 nc+pqqrq6emZm5tb+heJJUVH7ZhE+EvufueUg9YMgVA8PDyssK4muJcvX4qz 0nINNQdM/yS/yNpxfDP/8LcXLlyQ1cvu6+sL5/B2WsVgL6qP2qnAki0nA0Vi CdwnCwBlQLrRH4BfSVW3b968uXHjRq4gLZhtYhWg4RalSU/X/SimLt3C8jb7 Jmjb0tXcGT9x0xmVlZVPnjxZ4jcODQ3lF4j3WzL2O53HGCcOuqbtNg/Ozi1Y +tUqoWvXruXaH71+UI7rX5Xu1CwIC+jq6pLVa+7o6PAOPrfXgYs9pi5uBmbM lPRcGS6VAAAgLBKN/gDMI0vdothQWCRiciysAtS947QjBB+fVl1Ro/F07UPU UXbN4Mej5LPEwqd9fX0oLh60Yuy1T8QSJFBg3nOWnp6V9/DhQ0V2OCm8ePFC nMXLMdLuNflaHpH1tvEmvvEPFeVlMrwHWVNTk5VX9CG3DOwZdXHbaRUTwUl7 +vSprHYWAEBYZBn9AViI+HX79u1bFCxTMiPtaV+7RWmuMa8ubNTzG62oagyO WUlp8RI363zy5ImgQHzMnrnLOvYktUhhEeJUYMlu2/jDNqE5ecLu7m4FdjmZ NDc3CwKcynbJfgmsPpOv87driric3t5eGb7gq1evnnAMP+pFxLsG77FLoIZz 4fMRAMqA+KM/IKO7d+9mZ2cnJCSIxeKOjo4vPn5sbKykpCT5A/TFF//YR/C6 ffXqVWVlRXiCrXWgGj1DT1Z59Z8TXwv0XSM13UJ+yMlPXaJ7nz17VlhUbOvL NjANPeZboID8cJwiMjwTZuERVSCSyPBGouvP1NRUZUVFjpnR1QOyvCxryOxP JTs1BQGODQ0Nsn3Bly9fPmwbauxDrAUEpG2vA9eXkdjZ2SnbXQYAEBDBR39A Rih2Wv5WaWnpEo+/d++eo6Pjwsc7OTmhjUv8CJHr9sWLFyUlRRTWfiemugxP sS5u/kk6toF66XzOEqsbjY+P19bWvr9tlknQPsdkua6Itd85ZZtJEC0iuaqq CiYZftHw8HCRII9/+NsbMrrBK4qslbu1cu2NL168KPMVG6qrq/dZhBBtKeB/ FJ7TeY+ghPb2dtnuMgCAgIg8+gMyevLkiY2NjZWVVWVlZW9vb3FxsTSI3r59 +5OPn52d9fDwQA8IDg5ubGxsamoKCQlB36KN09PTn/sthK3b0dHRomKxF9PQ NVIzSqwvv8gqbUFpujZU7ZTMyLa2ts+9JNTDt27dyuQLzN1ZBqah8rgd51Gv HEMzpolLRFpWHnoHZTidcn17+vSpJCeTf/jvaz/j2m/6ddkurVybQxVlZa9f v5b5S0WffQ5aMxRzxn6lbZ8j1zv43HL+pgMAIDvCjv6ApCIiIlBR5eTkzG/J y8tDW2JjYz/5+J6eHmmsnb/SHA3l0i1LTFQjZt2itFBWVuobvss9SlPeeXW+ BWfq2VC10vlxS/+FdHh4GAWP6IT0wzahhmfCDrlnyiQwoAy83TzigBUjgsOr qqqCWxStFCr7IkFejun28l1afau9OKvrhL5wu0a+p8WFyspXr17J43XW1dUd s2cae+dhz6iL2x77c/7MpAcPHshjxwEAhELM0R+Q1NTUlJWVFSoqlEXnN/b2 9qItaPsnr3nv7u6WZtT5vymjh9nY2KAtS/zJj4B1Ozs7i2IhLfqYS4SGwiLr /BlXu0C9HAFviYuzkHfv3qEPApWVlSi7HncI22oSvMfu3OpmKh7zLdhrn7jt dMhRO2YEJ628oqKrq2vphWTB56APFBXl5QKKfc52rRuHdAdXso4rCrq1e3X4 +74WxoSiYDk5OSmnF3n9+nUzN5Y8TtSvve2y4TCiU+B+wQAoAwKO/oC8pBEU BdSPbkIqTaGPHj1a/CMo6ri6uqL/mpmZ+fr1azTsSs/NOjg4kGuGQEtLC+e8 n12wGkso94kBixslSceN8WNpWckSy2FJoQ5HnylqamrSs/K86An7LEK2nqLv tGIfcOEd9co94S/5ZDBA249656LH7LKOfR93z9LdafEp6blVVVUoCcMC72v0 9u3bxsZGcXpKrvXBfEONawc2dp/6aum82nF8cw3Kqzs25ntZFYuEHR0dy7/z 7yrcvn3blRqHdwXgz7Xt5hEJ57PhThYAKAMCjv6AvO7evYsqys3N7aPtaMsS U1vRT0mDq+0H6At7e/u6urolfhHR6nZoaCg7N9maqsXM2aT4yCptLpEaoZyz 9fX1y3zNo6Oj6B25cOFCFl8QGpNq78c+4RhuZErbcpKGcqmB6fuJBOhf9DXa sv007bh9mJ0vOyQ6JT07v7KysrW19cWLF3LtVWXz/PnzK1euiNPP53tZZu// c4GhetUe7fqDureO6N023oTazSN6Vw9sfH/JlYE6//hPApp7oSDv5s2b8pjI +hH0gZTOOk+cOwUvbOhjV06eECV/eXcCAAA7oo3+gNRQkkEV5ePj89H2gIAA tL25ufmTP4UCqp2d3cI1BDw8PJZefZFQdTs3N1dVVeXNNKQk6eCKrNEflsOy oqpl5iSudMkplHl6enpaWlrQG1FRUSEQirNzBbzMPC4vh5eZm5UjEBSIysvL 0X9Fj0HpZXx8XE49CZCRkZG2tjb0uUCcnlIQTs33scl1PJ5rfSjX9nCe8ymB v6MwmiHJ5dfW1nZ2dn7x1LqsoE8oXB7fwIyJPaN+1I75CfeY01F3KaYfAAB4 EWr0B2R3584dVFG+vr4fbUc5Fm3/5AJNXV1d0qSal5f34gOBQCCdZrDE5UWE qlu0C+d4NPsQNYyRVdoCkjd6hG5BEXotfyyemZmZnJxE0XRsbAz9i76GNQGw ePXqVV9f3717927dutXU1IQ+9KH/g+7fv48+lchv/urnoIoqKS01Ok373BwS XO2AC8/Wl/25T8QAgHWGUKM/ILsnT55IV1v9aDvagrZ/MoVKM2pSUtLCjTwe D23Mzs7+3C+y/AyZ7MWKzM7OVlSUO9G/CZbD3QRW0eyC1ZIzwmR7XyQAfv1w QZaFR9RB13TsSXVh22EZHR7Lg0uxAFhnPjfKQ2oFMjQ+Pi4tqoWLnL99+1a6 8dmzZ4t/JCgoCP2ny5cvL9zY0tKCNvr5+X3uFxGnbh89epTIC3JgqGPPq9IW mLrRI3RbTU0N7o4B6w36KMSKT99+NhJ7Up1vJ/wlBiY0sbhQ5ndVAAAQE3FG f7A+SC+8unHjxvyWhoYGtMXFxeWTj4+KikL/VSwWL9yIQizaiALt534Lcer2 0qVLnsxtNJ4u9rw632xoqpk5iXCpFJCtmZmZoqJiI1PacYoIe16Vtv1O5219 YmR++1oAAGERZ/QH64P0dq50On1iYgJ9i/6Vnk0tLi6WPmB0dLSpqamlpUX6 bVFRkXRSwfzf+NADvL290cbc3NzP/RaC1O2rV69yBWlWVFUF3AZr+c0nXpvB Mb916xbu7gHrDfrf1ouesNs2HnteRe1UYMlWk2AuL2dwcBB3xwAAFIQgoz9Y N8bHx6WzWFHyTE5OlubPwMDA+SU9paderayspN9OTU1RKBS0xc7Ojs1mox+R /rinp+cS6/kQpG47OztZiY6ebC3sSXVhY+ZusgvUr6iowN09YL1B/3fnCUQG JrQTFDH21HrAhWfmGnnp0iXcvQIAUByCjP5gPRkcHKTT6fMTp4OCgubv1oo0 NjZKl2ad3/Ly5UsUVqU31ZJKSEgYGRlZ4lcQpG6vXr3qHbY9KI1A0wOkzYam mpXLRR2Lu4fAetPc3OwdnLDTio03sp4MKNp6is7l8Ve6zhsAgNQIMvqD9Wd8 fPzx48fDw8PLXIVpenr6yQfLubCCCHU7NzdXWCSxpGhG4rgZ1tLNPVqTzf3C mrcArMKbN28Ki4r3ng0+4snHmFp328Y7+XPQx0bc/QEAUCgijP4ArBQR6nZs bCwz55xdMP5lWhe3gOSNtOhj85OHAZChrq6u2MTMrSbBJwMKsUTWwx7Ze84G F4gkcMMLAJQNEUZ/AFaKCHX79OnTczyaa6Qm9oy6uAVn6nmEbln6rrgArM67 d++uXr3qEZSwwyJK8ZH1OEW07RQ9MYX/4MED3D0BAFA0Ioz+AKwUEer2/v37 EQn23nHa2DPq4hYh2GxL3QS3uQRyMjk5WVpWZuISoeD1BE4GFBqYhtIikmG1 KwCUExFGfwBWigh1297ezuCY+53TwZ5RF7cosb6Fn1pJSQnuTgLr1osXL0SS oqO2zL0OSYqKrEWGZ8I9ghIuXboEdxkGQDkRYfQHYKWIULdtbW30mJP+XCKm VtTOUlTEEtEyL4UDYBUGBwfzBCIUXBVwxvX9bbDMmK6BcVVVVW/fvsW96wAA PIgw+gOwUkSo21u3btGijwUkb8QeUD/ZLP1VRGLB/DK5AMgDCq4iSZGJS8QO iyj5XZxl7J237XQIhZlUW1s7OTmJe6flbm5u7sWLFz09PXfu3Glubm5oaKiv r29sbGxpaens7Hz69OkSa1kDsL4RYfQHYKWIULdoQAmJNaUkEfVcq59KUVER 7k4C6x/KV6VlZe60+K0mwUe9cmSbV08Flux3Or/DlB6dkH7lypXp6WncuytH MzMzjx8/RgG1pLioMOechEcTJzqKOeZi9klxzDFxrIk43lKS7CnJCCssyLp4 8WJrayvcuBkoGyKM/gCsFBHqtqOjIyzeyjeBiFdjsYT6Vv5aZWVluDsJKIXJ yUkUKdmJGXvO0ndax57wl8gksh71yjUwY5q6RGbnFrS3t6/j6S5v3ry5fft2 SXGhJCMcpVNJ6A/V0d83J2/tyDR8nL/jqXDngHhXX8HOR7lGt9O21Z/7uSzs W3H4DnGic2FeSk1NTW9v7zruHAAWIsLoD8BKEaFuu7u72VxPjxgirnzFzNnk TP8GDWe4OwkoC5Sa7t+/Lyks8qQnGJjQdtvGH6eI1pBXc4zOslAGjoxLq66u fvbsGe79k5fZ2VkUyIsLCyTnvSXMrXVxP3bnGb25sH+m5uDSbaRkD0qwlZHf iaOPSLJjUC8NDQ3h3hsA5I4Ioz8AK0WEun3+/HlKZqQTUx17Rl3caDxdSsTe Gzdu4O4koFzevHnT1NSUJxB5BCVsP00zsmAdcktf/nzXY37CfY7JBqahB60Y jJiUkpLSzs7Oubk53LslL8PDwxcuXJCkBaO82sjdMlq694thdXHrydtRFfW9 OOZ4oYDX3NwMqyuA9Y0Ioz8AK0WEup2cnMwvyLKiqmLPqIubT7w2M86yvb0d dycBZTQ+Pn7z5k1JUVEEh2fuzjIwoRmavV9n4IBz6hFPvrGP4Lif8ARFfMy3 wNg777B7JkqqO61jt5oE7zGnO/lzElP4KMvdv39/fQewrq6uIlEuSpu17B+G i/asIq8ubPeztxczv5ekUqurq1+9eoV75wCQFyKM/gCsFEHq9uLFi45Bfw3N 2YQ9pn7UnJjqyelhAwMDuHsIKK/p6emenp5r164VFRejIBoYwUWJ1MQl4ogt c59FyG5z+kErhrE9E8Vad1o8IyYlPTu/srISxV1l+Et3a2trYW6iJGzbnTSD NebV+faybG9NzA9izpmy0uLh4WHcuwiAXBBk9AdgRQhSty0tLfSYk0RbRoAl 0rf0VxdLCtb3BdeALObm5lCIevjwIYpqKMRevny5uroafeKrra2tq6traGi4 e/fu48ePlecMITpuSLLZRcwfnwp3yiqyStt09YGGxJ/F0UdLioQQXMG6RJDR H4AVIUjdPn36lJvOdAgl1tTWwNSNPmE7UB7A3T0AgI+1t7cX8uOLw354Vrhb tpF1vt08vxUF17LSYuX5IACUB0FGfwBWhCB1Ozs7W1JSbEvdFJa3GXtYnW/O 4RoJKQHd3d24uwcA8Bvoc26hIK2Q+dOAeJecIqu0vT/jyjlTXV29vucGAyVE kNEfgBUhTt22tLQwOOZeHC3sYVXaUH62CdCRFAphegAAhDIxMVFaXCiO3PuA v12ukVU6VaAm5gdJKrW5uRn3fgMgSzIc/d+BdU1WdSITxEmtL1++zBNkWlM1 Igv0sUdW1DxiNMMTbG7duoW7YwAAv9HQ0CBOdG5I/FnekVXaXpbtLWZ+Xyjg KcPVbUB5yGT0nw82c/9jFqwL828o0bIrcVLrrx8GIzr7pDcBTreG5W22pmoL Rblwm3IACGVwcLAwP6U07LuJyi/fQUBW7X72dnHM8erqauIcugFYozWO/gvD Kgo509PTUx+8/R+TgITm3z7pu4ne1vkES5DsSqjUOjY2JhDxbag6TNxLYDmH a0QlOsOJVgCI5vLly2L2qS75zw34qFVFfS/Jjunt7cXdAQDIxlpG//nIOjMz gxLOxMQEGr6Hh4efPXs2+D8GBgb6AakMLoDeyhcvXqC3Fb256C1GbzRBgiuh UivS1tbG5no4Yl1MIDB1ozP9v8vKStEHDdz9AQD4J3QgLcxLLg//dqrqgIJT 6+P8HeLoI3BzZ7BurHr0l0aX2dlZNESOj4+jbIPy6qtXr9C32CMNkBX0/qKw it5W9Oaitxi90ej9RRuxB1eipVaU5ysrK7zDjHzitfHNDdDI4Cc8fvwYd2cA AH6jqalJnGBzL9NQwZFV2iojv0OZGR3AcXcDADKwutFfeopVGmnGxsaeP38O p3fWPfQWozcavd3oTZdOGMAYXC0XwPUaPoKCvUDEtwvUD0rTVXBkZQn17UPU 2FwPNDji7gYAwG+gj7QlxYUS5k/jFfuwpNY7aQbiROfW1lbcPQHAKln+1kp/ fP4sK0ov6OPbyMiIPF4kICb0dqM3XRpcMZ5xJU5YXairqyudz7GhaoVk6Sks skaJ9Z3CNOjsUzU1NbA2IwBEMzAwIMmKvhz7I5bIitpIyR5xuNHFixdx9wQA MrC61Do3Nzc1NTU6OgqRVQmhNx299agAMJ5uJWZq/fXD7cXPZ4RbU9UVE1xZ In3ncA0Ka39lZcWbN29w7z0A4GO3b98WJzrfTTfAlVpRKwv7trAgE5YWAevA Skf/+cuvxsfHnz17JqdXBQgOvfWoAOYvzlL8CyBsav31wxw2FFxtqFrynioQ WaDvEKoeGH20vLwMbt0IADFduXJFHH14UM43w1q6XU/8WZLOfPLkCe7OAGCt VpFaZ2dnJycnUW6Bm+8oLfTWDw0NoTKQzhNQ/Asgcmr99cOSAun8OHuavnec vC7OYmTp2dBUmXEWFy9ehFMoABBWRUWFmLlFkcu0Lm530gwkXM/Ozk7cnQHA Wq1o9JfOY5yZmXn16hWcaFVyqABQGaBiwDK7leCpFXnw4IFAlOMTvsMhVD1U puu4skT6PvHaNlRdbjqjrq4OfXbAva8AgE9DR8hCsaA49O8YIytq3XlG4jiL lpYW3P0BwFqtNLXOzc1NT0+/ePHi5cuX8ntVgPhQAaAyQMWAZZIA8VMrgvrn woULscneKGF6xmpFCDavPbIGpuraBKn5sw7mF2S1t7fDKnMAEBn6UFlYkFUR 8S3e1PqkYKc41uTGjRu4+wOAtVppapVODxgYGHj79u0af/Xan2Eel8uNi4u7 fv26rJ4QfBF6+1AZ4JokQIrU+uuHMy137twpEOWExJpaBWh6srVWd/8sllA/ IHmjHV3NnfFzSmbk5cuX4UJIAIhvfHy8MJ9XFfU93tQ6IN4ljjlWX1+Puz8A WKvVpdanT5/Ozc2t4td1dnb6+fkZGRn953/+5+9//3s1NTVjY2M2m73G5V7/ 9V//9Xe/+527u/tangSsCCoAVAaQWpfj1atXjY2NAhE/LN7KPvAr+xB133Pa jGUsMhAh2ExN2ejK0rQKUKdE7EV5taqqCu4jAABZTExMFArSL0R+hze1PhXu FLNPNjQ04O4PANZqpal1ZmYG/W+4upsaFxcX/9u//dvvPuUvf/lLX1/fKp5T SpGplcfjeXt7R0VFKeB3ERwqA1QM0qmtCv7V5EqtUuPj421tbeXlZSh8MmLN XIK/tfRXcWCou0Vpesdpoxzrn6Tjd07HJ17bk63lFKZhQ1O1oepRWPvZyd4F opxr1649efIEpgQAQCJTU1OFwpyyMMwzBHoFO8ScM3AXErAOrC619vT0rPQX paen//73v5dm1C1btvj6+nI4HDs7uz/+8Y/SjX/4wx9Wfcs5RabWrVu3ot+l qqqqgN9FcKgMILWu1Nzc3MDAAIqvNTU1QlFuWnZsXAol8pwDM84ymH2awTEP T7CN4bonp4fl5PPKysoaGhoePnwIa7ECQFLFxUUSxndTVQcwptbOLENxouPt 27dxdwYAa7W61Nrd3b2i3zI7O/tf//VfKOz9y7/8S25u7sL/9Pr165MnT0qD a1xc3Iqedh6kVixQGUBqXYvp6emRkZHe3t6urq579+6hMaW9vb2zs/PRo0dD Q0Oob3G/QADAWtXW1ooj9oyU7MGYWpuTt0p4gSsduAEgoFWkVpQzV1r8Dx48 kObSvXv3Lv6v4+Pj//7v/y6dJ7D4v87NzT1+/LihoaGnpwel308+/9Kp9dWr V62trbdu3RobG1v6daLf9eTJkxs3biyxrtfaUyva38bGxi8uHTb/YlCMWeap tuU/8xe7dDlQGaBigNQKAACf09TUJOaYP8o1wphaa2J+KMxJGB4ext0ZAKzV KlIrikYPHz5c0W9pbm6WplYPD49PPuD69etisfjChQsLN6LfRaPR/vCHP8xP f/2P//gPPz+/xTdb/1xqRRHOwMBg4QTan3766ZNLDaDwFhQU9P+zdx5gTWV5 w5/dmd39dnfe99tn333fna0zK1UQ1CnfOzvrOI4NRUXRsSIoKlWKNKWHUEIo oUpVRFooAZLQQaQqRcWCiqCIoIAoAkqVmu/gnc2EUExCyOWG/+/5Pzxwc+7J vececn735NxzPvnkE27Kv//971paWrwGuGzZsg8//JCb4MN3KCsrz33uKAcs ZURERHZ29ldfffXRRx9hOfzlL3/h63nmnjiJROI9mF/84hd79+59+PDh/HMW sEgFAVUDbIUssFYAAIAZQXf3rGjXaxEb8FLWwQJNlud3WZkZoj1DDQCLCslY 68jIyK9//WvkSEj8nj9/LuBehoaGMz66Nf2YZ7TWBw8e/O53v5u+O9pYV1fH lwPKc8b3Qu7KnZn5r3/96/QEcnJyc58FOl8spba29m9+85vpOZw7d45vl+PH j894MJ9++mlbW9t8cha8SAUBrBUAAGBuJie/So3L8Vozchmfoa3NyerMQO2K igq8SwIAxIBkrBXB7fNE6hUaGvreb7FpNBqW/ptvvklISKivr09MTES/Yxt9 fHx4E0+3VpQ/MuQP3vVSkkikysrKqqoqFxcXrDfyH//4B+8BuLq6YtmqqqqG h4cj3WUwGNzRtkpKSlgybPzh119/jTYig330jvdOfcB1yw/edWxGREQ8eIe9 vT3Wc/vf//3fvCMYnZycsMRffvkl0k504llZWSdOnMA2rly5kru+g7A5C1Wk ggDWCgAA8F5KSkqY/vtaU7fhYq1XQr5nxVJhxjxAOpCYtba1tcnLy3MtC9nj V199ZWZmxmazR0ZG+BJ3dHT8/Oc/xzSyt7eXu/3169fIITEX5V2kYLq1njx5 Enujixcv8uYcGRmJbXd2dsa2tLe3Y1v+/Oc/o/flTXzkyBHspaKiIu5GYce1 ct3y17/+Nd90eXp6ethL3AlJuAfz2Wef8Y1BMjIywl7y8vISIWdhi1QQwFoB AADeS2NjI+uiO7JHySvr6+ydLOr6rAyWaMPAAGCxITFr5bwT1/3792OGycsf /vAHpK+dnZ3clFlZWdhL5eXlfJkgy8Ve4l2cbrq1fvnllx+8m2Jr+mGsXr0a vaSurs6XIfqFL2VPTw+JREJ+W1ZWxt0osrVu3bqV76XLly9jL3HHoGZkZGBb 8vLy+BIPDw9j8zDs3btXhJyFLVJBAGsFAAB4LyMjI9lZmUwvtVcZkp5J4Hrk Bta5M7W1tXiXAQCIB0laKwZSwYiIiO3bt/M+E4RQVlbmDnl1cXHBNjKZzPyp nDt3DnspLCyMmyeftSLBw9J8/vnn+dP4y1/+gl764x//iCV2dHTEEgs4W6zI 1ooEmO+lhw8fYi9xB6AiQ8a2oFKantW2bds+eDe8QYSchS1SQQBrBQAAEIS6 ujpWNLkseJ0klbUrU4NF3ZDJToUJnwGpQfLWysudO3ecnJw+/vhjzJrWrVuH bd+xY8cH78PAwICbD5+1cqcsmBtMkrds2fLBu4fuBTxmka01JCSE76WWlhY+ t1RXV//g3ViFGbM6c+YMr2ALlbOwRSoIYK0AAACCgD4n8/JymTTNJ8mSmwKr JOg7VrTb/fv38T57ABAb+ForRlNT03/9138ha/rlL385NDTE+bdJIr6aCWy7 q6srNwc+a62qquKa2Iy7//3vf0e/YNa6fft2tOWTTz4R8GglYK2zKfR8rFXY IhUEsFYAAAABefbsGTspMstr7ZucnRJQ1vsxm5kBBwsKCuYzKTcALDYkY61v 3rxpb2/ne9aJFwcHB8ypKisruX9+9NFHmMS+Fz5rHRwcxOYKcHR0fO++3K/O X7x4Ich7Lai1cicQmHGEACbY00cICJKzsEUqCGCtAAAAgnPjxg3WBdJl/7Vv Ly3sLFhtadtY1I0Z6YmwsgAgZUjGWrHn3z/88MPZFtUyMDDALAsbNM5kMnkl 9r1Mfxpr5cqVaIuamtp7983OzsbeKzU1le+lgYGBoKCggICAO3fucDdi1vrp p58KcmAcId2S+2CUUE9jCZKzsEUqCGCtAAAAgoM+LYuKipihxuVn1y3c9K2d GTsyvdaxE8P4FqYBAClAMtZ65coVTJmOHDky/dsKlBs2QuA3v/kNNr/os2fP sPS805Ni5ObmKr4DaRh343Rr5U7UzzfzFTr+nTt3ot250wu8ePHiZz/72Qfv ns/incMfwZ0l9dKlS9yN2Jf4iPb2dkHOXSi3RAeAbfnss8/4ng6bY+YrQXIW tkgFAawVAABAKAYHB/Pz85jBx5C4LkSPawdze5bXd6z4gNu3b+N9rgAgfiQ2 rpU7WeuqVatSU1Pr6+v7+/tv3boVGBj4n//5n9hL5ubm3PR2dnbYxq+//hqZ J3rH2tpaNze33/72t2gj2uX169fcxNOttbm5+U9/+hP2nbijo2NpaSnagvTs X//6F5Ytd75WBJVKxTaqqKiEh4c/evQIpeTO+Io0j/dEjI2Nse27du3Ky8tD iec+caHcksMzp8FXX30VFRWFbpbRwXCX7lJVVZ2+yoCAOQtVpIIA1goAACAs vb29k+IaanzZX8xjXB8nbs2grmfTz968eRPvswSABUE0a21qahL2jZCmrlix 4oPZQTbIu9wAei/u6lR8IEfl7fzkzLKiK/q3/Y//+I8Zc1BXVx8eHuZNzHVR Pv785z9fv36dN2VRURFvAsFXdBXQLRHHjh2b8WD+/ve/z7iiq4A5C1WkgoCq AVgrAACAsAwODqKmhHWBlOW1ViyzCgzka1aHr2f6arAZ0TBpACDFiGCtAwMD Ilgr590wUT09vd///ve8vvSzn/1MVlY2MjJyenoksXZ2dn/4wx+4iT/66KO9 e/feu3ePLyXWW3jmzBm+7VevXl2/fj3v23366afI8fiUFTE2Nubq6vrJJ59w U/7P//zP7t27uVPI8pKcnLx27Vosmby8/Nxn/fLlSyxleHg430utra3YSxcu XODdjgrZyckJHQDvie/Zs6ehoWGeOQtepIKAqkF/fz9YKwAAgLCgT84bN26w kyKZNM2y4HUiL0Awcnn3I/qWbK9vmeFm2Zls9OGP95kBwAIimrU2NzfP502f Pn2akZGBhKqsrIxvjOV0kE+it0P/3Y2NjaKtSff69es77+ju7n7ve7W0tKD3 EuQfv7e3t6urS9hVUAWHezB1dXVIDsWb8zyLFOPJkyeoMoC1AgAAiMazZ8/y 8nJZ0S5ML7UrId+3pW0T/Cmt/rxd9XFqeT5rmIGH2cnnq6qqsAdDAECKwcVa AekAVQMcrZWLhN8aAABAjKCP0Lq6uuysDNZFN6b/3hyvNdcjNzxJ3tqdpTFc yG+wA/maHcztdbGby4LXsTy/Z4YaspMiS0tLZ/xaEACkA/2pCL4jkpOxsbHB wUF0ezifPjpAChgfH3/69CmqDKhKQF8rAADAfBgZGWlsbCwpKWEzYlnRZGbw cabPDhblWySxBb7fFvqtzff9NtPzX0zP9Uy/vcxwc1a8P/LcGzduCDjTOABI B6JZa2trK3wTscQZGhpCNy9grQAAAGIEe975+vXrRUVFmZlsdloimxHDToli p8axmSm5ubnl5eV37959/vw59B0BSxARrPXt27cdHR2w4sYSB1UAVA1QZQBr BQAAWAjQR+vw8PDAwABS2cHBQdDUpQBqVZ89e4ZuTKqqqtAdSmlp6dWrV2tq ah4+fIiaXcm3tosNYa11fHwc/RN1d3ejUl24owIWP6gCoGqAKgOqEmCtAAAA ADAf2tvbKyoqUhnpoUHRbo7BNma+5gZUUz2KhbGXg42/t0d4dBQ9NzcXCS26 hcH7YHFD2NafO2Vrc3OzGFe0B4gFuhl88uQJXpO1csBaAQAAAGmhq6urpKQk +jzd1oKmu9/F+AjN2iDSwTTO+VQiySLZyZxuaxx96kSI3iGKoY4r1S08PY2F 3HVp9r2LZq3IV1+8eCHarK2AFIAuPaoAqBqAtQIAAACAaKAGtK6uLjkpFfnq 8QNup42iPE6zPG0zZwsXi2Qz3aATWmR/n/OFhYU9PT14n4GkEaH1Hx8fHxkZ 6evra2lpgXECSxB00dGlRxUAVQNUGXA5BrBWAAAAgNCgBrS6ujoyLBZZqKV+ uMcZ9hy+yueuBlrUM+a+LCZ7qU16JkLrz30mq7u7u7GxEVbiWFK0tbWhi44u PV7PYWGAtQIAAADEBbWeVVVVwf4Xjh1wdT6VKKCvcoNyJsP8+FlTPUoqg7mk Zj8TrfXHxgkMDg52dXU1NTXV19f39fWJ/diARQW6xOhCo8uNLjr2NCuODzOC tQIAAADE5e7du+EhMcf2k8mWDGGVlRuWemFm+p5sdubScTCRW3+uuHZ3dz99 +rS2thYpTXt7e39/P17fGgNiB11KdEHRZUUXF13ilpYWdLlxV1YOWCsAAABA WF68eEFPSDlxiCxCLytfmOoGOp4OKCkpWSKTYs2n9UdKgw0VQJL/8uVLpDTI bW7evHnt2rWqqqqrV69eeUc5QCiwq4YuH7qI6FKiC4ouK7q46BKjC40NDMD9 xgSsFeC8u3dGd1UdHR3oxrmpqenhO9Av6E+0EVXXJfIxDgAAgUANaGFhodVJ bxvDc/NUVhQep1knDnpEhMY0NjbifWaSYJ6tPzbGdXh4eGhoCLURPT09nZ2d qL1of0dbW1srQEDQhcOuILqU6IKiy4ouLrrE6ELjOJaVF7DWJcvIyAiqmbW1 tcXFxRkZbHpyVGQMJfi8vX+ElU+oCQr/CEv0J9qYkHSOzWYVFRXduXMHVWlU e/E+dgAAAM6TJ0/Cz8boH/Kcv7Ji4WAWb6zrnpuTixpovE9uwRFL6z/2jtHR UdQuvH37FunNwL/pBwgI9/KhS4kuKLqs6OJiV3n+tUUsgLUuNcbHx5F5VldX M9mpyEgpwbqW7t/qOcoZucqd8law9lc8HbTcLkQJBfoF/Yk2opdQAgu3NR5B RyMueqQzU6qqqtBN2eKpxgAALEHQrfQpQ6q9Say4rBWFwWGv0OCLzc3NeJ/c giPG1h8bMABIJbgPCeADrHXpgO6YHj58mJubcz7Wm+S318BZ0dxLwT5MiRKv Sktf7c/6fI7wY66mJKx0CFNGEmvgrOBE2xMZ45mdk1VfXz8yMoL3mQEAsOTo 6emJj0s+tt9VjMqKwvbkxdNmvlevXsX7/BYcaP0BIgL1dimA7pWQr2ZlZwZH OZi5/q8pRd4pQtk39T2mOlv4pq12ilQ29ZQ3JX8VeM42MysDuesY9LsCACBB 0GeaDyXC/PhZ8Vqrx2mW7j4Si8WW+s80aP0BIgL1Vup5+fLl5cuXw6PdTMlf mnspuMeqiiar08MjXvWUt8JJl9WhF0iFhYUdHR14nysAAEuF6urqM6dodiYx 4rXWyUECWtSoyPhXr14JchjDw8Pt7e11dXXXrl0rKSlBn4T5+fmXLl0qLi6u qKiora1tbm5enLNpQesPEBGot1LM+Pj43bt3E1Mu2Hmrn3SXc48Tm6/yBiVe 1cRD/gxVLSHp3K1bt6S+gwIAgMUAuhk31nV3sUwRu7Wa6QYF+J6fe2jryMjI kydPysvL09KY4SExHqQQWwua6QmKoY7biUMuBtquJ495WJt4kx2CA2lR9AQG 8lhktr29vRIrn/cCrT9ARKDeSisDAwOlpaVh0WQjkrJDmLIfU8TxAAKGU4Sy IWn52SjH4uLixdmxAACANJGbm3v8AMn9NEvs1mqpF0Z1C3v48OGM7/v27dt7 9+5lZmQG+19AXqq7j2Sk7WOlH2FnEkOySHa1SnWzSXe1TkM67WAWb2N4zvRo wLH9rsbH3L3cw5MSGVVVVd3d3RIuqxmB1h8gIlBvpZLXr1/n5ua4BeoYucp5 0lcuqK9yg5q48qSbHNn/QFZ2ZldXF95lAACANJOVlXVkrxPlTIbYrdXKIMLD JfTBgwd87zgxMdHY2Ih81YcSoX/Y1VhncnyCxxm2IHk6n0o0P35Wd78LyTaQ TmfU1NQg+8Wl3LhA6w8QEai30kdnZ2dmJsvee8cpbwVa2sJ2sfIFejtLX0Vb qhqLnQbDXAEAWDgm+1oPLlRfq5dbOF9f68DAQFlZWURojNFRN5Oj/i4WySLk 7G7DtNQPP36ATHULz8rKfv78OV6lx4HWHyAmUG+ljK6uLmSMNpQN1n6KCz0q YLawCVhu6bE2nZn88uVLvMsDAADppLi4+ORxD9Hsce4w1Q0MpEW1tLRw3wt9 lGVlZZHtg04ccHc0i59n/q5WqcZHaGb6nvQERl1dHV4FCK0/QESg3koTvb29 WdmZtlQ15I24+Co3bIOX21DWZ2Qye3p68C4VAACkkOvXr9tZ+tmevCh2a9U/ 5BkdRecOc2ptbU1LZZ4ypJoc9Rdj1+5pw/MnDpGjIuNv3ryJy0KZ0PoDRATq rdQwMjJSUFDgRNtj6auIr7JiYe2naO+9PTcvB/fhWwAASB+NjY1+XpFmukHi VVZ3G+ax/aSMjExsSaD29vaU5DTjY+4WeqFi12NH84RjB8gRoTG3bt2SfAFC 6w8QEai3UkN1dTUt3MzUU/69C11JJvyYq829FLxCDCoqKvAuGwAApI2+vr5E OkN3H1m8D2SdNoqyt/KrqqrivBtwxWSyTU5QrAwixK6sWDifSjx+gHzhXML0 h78WGmj9ASIC9VY6ePz4cXR8gAFJ3jtlFe6+yg0fxipDF7nzsd4NDQ14lxAA ANJGaWmpjamPrXG0GDVS7xAlMjyutbV1eHg4Pz8f5X9K3Mtv8fe4msWf0CIn JaZK+AlWaP0BIgL1VgoYHBzMyGSakr90vaiCu6nyhXus6kmXVUxWCkziCgCA eEFuGRUZf+KAu4DTT7037E5eNDPwvHTp0sTExLVr17zcww0Pey+osmJhY3ju lCE1JzsHqbLESg9af4CIQL2VAtCnK/WsvpXfohjOOj1sApa7Bx6BcQIAAIid kpISO0s/sQw6fTei1TX6PP3p06cdHR3xscnHDpBdrdMkYK0ojHR8fSgRkhzg Cq0/QESg3hKdzs5OevJ5Q5K8D2MRjQ3gDd/U1YYkudjEUHwnJwQAQPro7u5m pKTra7s6mMbN3xvdSSFXr17lvFsu1srE+7TheckoKwqyFeP4QXJyctqbN28k U3TQ+gNEBOot0amoqCD57XUIU8bdTucIpwhlBx+NsrIyvEsLAABp4+HDh9FR dKR8TuZ0kaXRVDfQxswnNyd3aGjox4EHBz0kpqxYWJwIdXUMvnHjhmTKDVp/ gIjo84D3sQBC093dTU+JMiDJSXgNLGGDlr7a0EU2Pikc1h0AAEDs3L59+1x4 PBJXO5MYYV3R/TTL+AjN2tQ7g52JzS+N7q9tTH3OGF+QsLW6WacfO+DCYKQP Dg4uUEHpT2WB3gUAFg6ot4QG3ZW7BWrbhSjh7qXvDYcwZZLf3urqarzLDAAA KaS2tjYmOtFI181MN8jNJl1AUXQwiz9+wI3sEJydndPd3c15t1ZL0gJMqCVg mOoG0rwi+RaTXSCg9QeICNRb4jI6OpqRwTJyVl5Us13NFr6pqw2cFNOZDFh0 AACAhaC5uZnFynBzDD62n2xxIpRsxZhNDpGR2pvGGmp7G+u6R4bFlpWVDQwM YJnU19d7e4SbHwuWvLJ6vpsFy9yAWlxcLIHigtYfICJQb4lLS0tLWDTZ3EsB dyMVMCx8FYLPOzx+/BjvkgMAQDrp7++vrq5OpDOQu+ppkfUOUcyPnz1teN7O JMbeJNbWONpKP+LkET/dfWQLI2qw/4XsrGz0icS7oGp5ebmVsbeDWTwu1op0 +uheEiMlTQJ399D6A0QE6i1xQR/Ojr67SOdX4K6jAobLBRU7L3XsEV0AAIAF oqen59atW1lZ2dFRdBo10sU+yN7Kz9aC5mjjT3EJPRsYnZyUWlJSgnx1dHSU d8exsTE2i627j+RxmoWLtaIw1qGFBl9sa2tb6FKC1h8gIlBvCcrExER2drah 84pFO+HV9PBNmxwkwM5goaYB7/IDAEDKQR+SXV1dSE1ra2tv3Lhx/fr1mzdv 1tXVPXv2bLbHnV6/fh0Tnah3iIKXsqKw1A+nkEPr6+sXunyg9QeICNRbgtLd 3R2bGHrSTQ53FxUqTCny0fH+nZ2deJcfAAAAP21tbSGB0SZH/XG0VruTF+2t /CQw/xW0/gARgXpLUJqamgIjbWwCluMuokLFmeDltDAzyTwhCwAAIBSPHz/2 pUaeOhGCo7U6mdMtjL0kMJJKClr/iQnRAyAoUlBvlya1tbXugTqOEYt6cYHp 4XxuhYv//ps3b+JdfgAAAPw0NDRQ3cIs9cNxtFaSRbKpHqW0tHShT5bQrT9X Psf/HWPj7w9uYnBX4kLoeruUqaiosPXa6hajgruIChUe8arWlPXl5eV4lx8A AAA/9fX1FHKolX4EjtbqYply8riHBCa/Imjrz+urSERHxjjD7+Lt6GQMzRLY q1hKtAtmsOCuRISg9Ra4fPmyGfn/eSUT5lEsLHwYq4xJqvn5+XiXHwAAAD+N jY3elHCLE6E4WqvzqURzA6oEbu2J2PpzfXX0na8iHR0Y4fQNc9685bwe4vS8 i+5BThdPoD+x7SgBSoYSo13Qjmj3UR53BYgCEestgEDiZ0RSlfwEAsiT3WNV XS+quFxYgX56xAt3DLT01XqO8tnZ2XiXHwAAAD/Nzc3+3ufNjgXhaK0OZvHW pt6VlZULfbKEa/25yor56rM3HEopRz2Oo3KWoxgoaKDE2+I53uWTu2PuCuJK LAhXbwEMJH5I/5AESsZUHcKUzb0U9B1ljK2XWZksO2O8zM5Q5rTxMguzZYY2 ywxIspa+is7nVvimvv94TjjKsFjMCfiMAABgkfHy5ctz4XGG2t44Wutpw/Mu 9kG1tbULfbKEa/25yjo4wkm/z/kilKMQIHp8HjqZCcqKK64AISBcvQUw2GzW CQeZhfZVt1hVc6q80WkZ5+MyAT/IRqvJMtTks7cpFuxYXqihlL9jeaa6YvJm +aitsrT9Mshj9e1lrPwUqYkr58hT31kmLT2Zb3JvAAAA3BkcHExKZOjuJ+No rebHgmnUSAmsIUis1h/rDh0dn+wgRbaJtFN+3oEyQVmhDFG20N1KFIhVbwEu WVlZeo7yfsyF6mtF5mnmKW9msQzpKH2z3OWdSncPrGw78kXnsa+mx1OdL27v U83bvvyimixFW8bYRsbaT3G2kQMnHGWYrHToawUAYBGSn59vqONKtmTgZa16 Bykx0fTu7u6FPlNitf4T7569Gh7jNPdwVoVw5PzFEyirJz2T2Y6Ng7USA2LV W4BLXl6ekbOKIN/IixAOYcpGtjJeh2SS1eSu/aDScfTLGWV1ejzT+aJMUzlO TdZFV8bASdb1Iv8UBzCuFQCAxUxNTY3T6YDThudxUVY36/Tjh1yys7IlcF9P oNaf29E6MMLxKOXI+oszXIsnsxW8u7WwsPDDDz9UVVVd+PMGZoBA9RbgBf3j mJK/EvscAsgqLXwVLE2XRanLIv98LrCv8kaLzud525eH7JI9aS1jF6LEmz/M IQAAwGKmtbU1PCTG4LAXLtZqY3jO+Uzg9evXJXCmYmn9M0RC2HfBRrQOj3F6 33I2x3Bk/ESJnQmcnAbO3Q6Ow6Up2zddnMx2WLDRrc3NzX/9618/+OCD5cuX i1hkwPwAayUoFRUVZ6hqbrGq4lTWtNVmnvL2+jJJanJ1B1eJ4Ku8ce0Hleit sqfMl50O/GkBL0q8qhVlXVlZGd7lBwAAMANjY2NZmVl6WmRcBgnoHaKcj4x/ /vy5BM5UXNb6/SFnoUI0ax17N6K1a3ByPOo/aKIE8lUuO+J/2i7nP5ktyvy9 gwRqa2tlZGQ+eAdYK16AtRKUO3fuuAVqO4lvbSw/5mpzLwXHEzKpW+SfaH8+ T2XF4v7BVXFqshZmy2zP/tjjSjq/guS3F9bGAgBg0YI+XaluYWa6kp7/ysE0 zlSPUlBQIJlh/2K0Vh1ytoAxT2t92c/5zFeUoE7tKdFiTHkVZTu3tQ4PD5NI pF/84hcf/BuwVrwAayUojx8/9o+w4u3GnGegrM4YLUtRk2vREY+yYvHg4KqL W2RNLJeRolagd7ENXu4TatLQ0IB3+QEAAMzMwMBAWmr68YNkspVEu1v1taih QdESmD0Ag1jWig1qfdHP+buP0LEmcnKJAS4tr/kToGy5Q1ung67IihUrMFn9 6KOPfvazn4G1zsH9+/cTEhJCQ0OZTGZ9ff1704+Pj1dXVycnJ6Nd0M9Hjx7N nR6slaB0dXXF0INPusuJRVnJ0SomVstit8g+PrxajMqKxa19quEasgYOMl7J q0w95aPifF+8eIF3+QEAAMzK7du3fT0jjXR8JaasZ4yiLIyoBQUFY2NjkjlH Ilrr817O37yFjvLmKbkdTOZPgLKdw1rT09MxZf3ss88qKyvXrVsH1jobWVlZ +lOZ++Hr3t5eGo3Gt8vcNQSslaBMTExkZWcaOivPf3ksWtpqQxfZs7tka/aq il1ZsSjUUKIcljHzlDdwUmCzmRL7WAYAABCB4eHhnOwc0xOUM8YXJKCsrlap xw6QY2OS2tvbJXaOhLPW/mFOey/nL17Cxem8KVmFVM2QBmWLMp/DWj/55BMk VwMDA+hPsNbZaG1tNTIyMjAwyM/Pf/r0aWZmJmahd+/enW2X8+fPowRWVlYV FRX3798PCwvDdmlpaZltF7BW4lJVVeXgo4F98z6fsAtRctCTyVRXXCBlRdF2 5IskNTl9w89MHNdduXIF75IDAAB4D6gJjo9NOn6Q7GKRvKDK6nGGbaBFpVEj JTN1ABciWmvbG86fqEKEYsCUsQHNPZNbpidD2fbNbq1IVoeGfsoFrHU2fHx8 UKVKTEzkbklOTkZbgoKCZkzf2dmJFBclqKur4250cXGZu7sVrJW4PHnyJDTK +ZS3wnyU1TdttYGjzLltso+0xD82gDeu/6DiqfEP89Na7x21AgAAsBi4fft2 SGD08QNurtZpC2etJkf97a38CwsLJbxiIOGsFYll6xvOJ55TQsGfsy9x8iff diwyHkzJB6WcMVnrnNbKB1jrjAwPD2MK2tz804CMp0+foi1o++Dg4PRdmEwm ejUqKop3I7pbvH//fldX12xvBNZKXEZGRljsNEPn5fMZJOAUoWxnKJOzffmC KiuKjqNfJm2Wc7Y0hkGtAAAQgvHx8atXr9KokScOerhapYrdVylnMkx1A61N vLOysnt7eyV8dgS11v+h/BTyfpPdp4ieIc6mC1NeQnEifUomQZX8CbgB1jp/ njx5ggkq3wwYRkZGaHtTU9P0Xc6dO4deqqys7OjoKCoqiouLKygoQL/P/UZg rYTm2rVrZP8D9mFKIlurKUU+cI/s3QMrF9paUZRrrgg12I9uo/AuNgAAAIEY HR0tLS1F4nr8gBtJrEMF3E+zjHVop818M9iZc/QsLRwEtdY/ePwUrkU/pUHi uiHqp5dkaT8KLQb6HW3h3Zc3wFrnD2rZsRGqfNvRltmGtmIjChISEjCzxTA2 Np57GCFYK6Hp7OyMT4o0IMnS0kVZ2tWHscrAVoa+Se6FrihrYAkbjVqr4374 Bt1S4V1sAAAAgoLEtaKiIjQo+sRB8mmjKLEoK+lU0okD7i72Qbk5uT09Pe8/ iAWAoNb6e/efwmLq4+m32znLfH98KaBiykuaCVN25Auw1vlz584dVKPs7Oz4 tjs7O6PtNTU103ext7fHTPX06dOXL19Gsurp6Yn+RBLb2to62xuBtRKd8vJy R99djiItN+ByQeW08bLchR8ewI2kzfKsJDrvyHYAAIBFzvj4eG1tbUJ8spm+ p6G2t4tlyny6WE8dP3tCi4w0uLS0FHssHReIaK1tbzi/c5sSxVO/eb7VPrlx V/yUjf5X+ffii7mfxuIDrHVG7t27h2oUElG+7chj0XbktNN3QbKKXjI3N3/9 +jW2ZWxsDOubvXjx4mxvpD8LYjwXYEF58eJFXGK4AUnON1Xo7la7ECU3HZnK PSoSs1ZkyGlBXjC0FQAAwtHe3p6Xm+fvfQ45p8lRf2EHDLjZpFvqhx/bTybZ BqYy0u/fv49kWAKHPVsrT1Br/b+uU+JT70lT5SW6ZsqWJ92Tafj24guw1vnT 2tqKKSjfdrQFbZ9xaSGsZzUhIYF3I/oTbUQvzfZGIKhSQGVlpUeQrk2AorDW aumrSNsnI5lBrViUaSozyNYSW/wFAABAjIyOjt69e5fJZPtQIgx13PQOUawM IpxPJc4hq65WqWeMLxjr0I4dcEG+So9PqaioePPmDd6nQry+1oGRSb38DzJ/ /M1rclDrbGjEzbALX6Bs51hlgA+w1hnp6+vDboWGh4e5G9++fYttfPny5fRd sNlZ+ay1uroabSSTybO9EVirFNDf389kMU66rHaPVRXKWs2p8sGasg2HFnbO K96o/kElxdbgwYMH7z8rAACARcnQ0ND9+/fz8vKiIuNdHYNNjlOO7iXpH/I0 Oepvpht06vhZ82PBpkcDDA976+4n6x0mO1j7B/tfQK577dq17u5uvA//R4ho rc97Ob91mSHWRMwsrrQrM6fni7nXxuIDrHU2sC/3USXnbsEU1MLCYsb02MxX fN2qbDYbbYyNjZ3tXcBapYOGhobzsd6GLnJCzYJl4iEfqrEgq7jOFjV7VZMt j86xUgYAAAAhmJiY6OjoqK2tLSoqSktjxkQnhgZFB9KiaNRIf5/zwQHRyGmT k1KR3F6/fr25uZm3D2oxQCxrHRvnDI5wOvo4v3GZOQ6n8O/V1M35M3XW9LyB skWZj4G1zg9sOVc3NzdstDb66erqirZkZmZiCXp6em7cuHHr1i3un8bGxihB QUEBtgX9Q2EjCiorK2d7F7BWqaGiosIrxECoRQdMKfKhO2UbF3h9Ad64gazV 6ti9e/fwLi0AAACxMTo6iprg9vb2p0+fNjU1IUdtbW199erV27dv8T60WRGj tQoV87HWF/2c/3Tl/B/SzHFyasbqMbOm5I3fu09mC9Y6f/r6+jDntLW1PXfu HPqJfndxceGu4Y51vRoYGHB3SUtLw4YQeHh4REZGmpqaot/Pnj07x5BvsFap AX085ubl2Htvs/YXdICruZdC0G7Z+kOrJGatlXtUUuyM6+vr8S4tAACAJY24 rFUEhH0XzFrfjnK6BjkqQZxfOc8aDgWc7sHJMM6YKxlvoAxRtihzAa11/fr1 yFpXrFghSnlJOx0dHW5ubtzH/VxdXXnnsLp+/To2IyvvLiUlJRYWFlh6JL3n z5+f+1sJsFZpAt3sZ2QyrSnf254VaN0Baz9F7wMyt/apSsxai3cqp3rat7S0 4F1UwBSGhoba2trQ3cSNGzfKysqKiooKCgry8/MLCwvRR0pVVdXdu3efPHnC nZ8EAACiQ6DWH8nk+ARneIzzeohjlsX5hZM442TmZLYoc/QWglgr8F76+vpQ K//q1asJgQu0s7MTtUGCzKpBoHoLCMKLFy/SmEkW7mtOBy1/r7XahymRdWXK NVdIzFoz1RXTwwNRZca7nIBJ3rx5c+/ePeSo7LQkVqw3M9KaGXyMSdvN9FZn UjcxqRuY3luZvjuZgVrMcDNWNJmdEpWbm4vul9vb2yUzaQ8AAAsEsVp/pD8j Y5z+Yc6d55NzVX3kKJ5AWaEMUbYoc1BWQkCsegsIAjIKFptxmrrJkqY495pZ 7rGqFmbLMtQVJaOsHUe/TNiimMlicke5ALiA7n+fPn1aUlLCZsSwIm2Ql2ZR /1UR+v39mM0tKeqdGTteZ+/sz9s1kK/Zm7urO0ujLW1bQ7zajcgNBb7fMqkb mSH6rITAnJzs+/fvw4IRAEBQiNX6Y4MEht4NEgip4nzkxPnQcb6BMkFZoQyH BB4eAOAOseotICCvXr3KymKTaD+YeMhRk1bOZq3IafUdZC6qybYe+UIC1nrv wKpE3a1zLzEMLDTIVwsLC5F2Mv3353ituR21CWnqaNEeAQN57MOELUUB3zG9 NrOiHLIymLW1tYvt4WgAAN4L4Vr/8X93tz7vnVzu6mMXzs8dRA+0e0DFZFZY R+s4KCtBIFy9BQSkt7e3qKgoMPKMIUnB+dyKORYa8D4oc/0HSSyPdUlDKdXT AZYYwIs3b96gWwZ2YiiTtqfQb21zsvrI5d2C+ypfdGVqVIevZ1HXs6Icc3Oy YawyABALwrX+WHfr8Bin9+2kbVY+5eimcpb5cH7hyPmZvaDxa2eOPI1zIp1T /Wwyk77hyQyho5VAEK7eAoIzNjZWU1MTnxRuTVlv6invSZ+h09X1ooqF2bK0 LQovdb9cUGV9qvMFfZtKRlrqYp4KRoppamrKZKUyQw1zvde0pKiLLKt80ZO9 80rI90xfDXZiWHV19cjICN4nCgCAQBCx9eeKa/8w59UAp/UN5+Erzt0Ozu12 zo1WzrVnP0Y1T3A31rRNJkOJ0S5oR7R7PygrASFivQWEoq2tLT8/P/i8nTFJ 1dJXcbq7nnSTC9aUvb3AMwmU7FJOsTXkTi8MSAx083L9+nV2UjjTe8utqI1v L4nevzpbPGWo53h/yzpvV1BQAPMMAAAhIGjrj4nryNjkYNS+4clRqS/7J5cJ aO+dXJi1dZZAL6EEKBlK3D04uSPafQSUlYAQtN4CQjE6Onr//n12RrpfuIUx adUpbwVS1Arug1rodwuzZclqcs+PLlR36+PDqxN2rM5ITenv78e7MJYWIyMj 5eXlrItu2V5rW1O3id1XudGXt6s0aB0zUCc7kz3jktMAACwqCN36I9vE3PXt 6GQgBR0YmYz+4RkCewnF0OiP6TFfHYN5UAgIoestIBRv375F7pqZyQ694GLv vU3fSc7SV9EpUpmatNLMU556SObyTqWFUNYXul+ytiqkepPq6urwLoOlxfDw cHFxMeu8bb7vt29ydi6csg5d0uzK1Hievg29UYybRlLCxWfPnuF99gAAzIUU tP7jEz/Kp7ABz14RFymot4BQjIyMNDc3X7lyJSU1PiTKiex/wIT8he6Zf+zU /svZrctq9op/nACS4SSTA0ifYMIrSYJKe7KX9dyZQv+1/Xm7xG6qgwWajxO3 VoWvz/Vek+y6JtJxc7Cdup/tDkejDWZHN9nZ2TEYjGvXrjU1NcHsWACwCIHW HyAiUG+XLIODgy0tLTU1NQUFBanpSf5n3cwNd13Yonj3wEoxKuvV3Svohzdm s1l9fX14n/HSorq6mhVNLvD9diBfU7y+2pmxA8lqqvsaqo2mkdEJDR2bDYfJ m3WpW074quv5oZ9qx7zQFrXDTiesaR7+UYxUZmVlJQwbAIBFBbT+ABGBegtw 3nXAdnd3l5WVRXq5xW1TFdeTWWWayvSD6zIYyWAsEqaxsZFND83xFvPAAJTb 1ZDvY0jfm53UVTvsgBx1t0X0QYc0HXL29DjkmL7HMmabQcAmbbKRbcCF2KQr V67As1oAsEiA1h8gIlBvAV4aGhqYMVEJe75GwvliHnNhtR75Imf78kRd9cz0 tI6ODrxPa2nR09OTyUpheW9uSxPn41cPE7akuX9rZaKzSdtlp0m4lhNrRlmd HoedMzTNz2/UdjO2D0xmpNfV1Qm+ODUAAAsEtP4AEYF6C/DR0tKSmZ6aZPQD c6tC/aFVIijrzX2qyVsUGfYn8/Pyurq68D6hJUdpaSkz+Hht9CZx+erbS7sr w9aHOahp6NhsNwwS3FenuCspQ8MkTF3XLSAs5sqVK7CcFgDgC7T+ABGBegtM 582bN8XFxWmB1IQ9/8zepnj/4CpB1iDoOPrlrX2qyHUTj6gxL0RUV1eDmUie J0+esOhB+b7fDheKZ17WwQLNkqDvPKz3bNIm77WJF8FXeWO/bdKmIx72lPCi oqLBwUG8SwsQhfHx8f7+/tevX7969aqzs7O7u7u3txdWDyEc0PoDRATqLTAj ExMTjY2NuTnZaT4udO1NKWryRTuV7+xf2XT48w6eaV3bj37xSGt1zV7VSxpK dDXFJH3N9DD/y5cvt7e3430GSxGkE3l5eUwfDXFNzYrUFykryWI/Us3Zxq8K G1pOLLVjXhakYFRP4L6GEKBPg66uroaGhqqqqsLCQhYrnZ4cFUsPuRDvdz7W OzohMD4pPCU1Picnp7S09NatW0+fPoVbksUPtP4AEYF6C8zB2NjY48ePS0pK mPHRDA/bJOO99P1r47coxW+US9wkh37Gb1ela21IMj+M5JadklRRUdHW1ob3 US9dmpqaWHHexYHfiWtsQFX4eor1nk1H3LUcmWJRVu5oASSuth5h5eXlMMZ1 MfPy5cuampqs7MwYejAtzMzee7sp+asTjrJGrnImHvLmVHlzLwVTT/mT7nIG JFlDJyUryndk/0OhF0hIYouLix89egT6umiB1h8gIlBvAUHo7e1FRnTjxg1k sDk5OWwWk53GyMjIyM3NLSsrw3pXYFpO3CksLGTSNMXV0fowYUu4g9ombZK4 eln5elw3HfGghcTcu3cP72ID+EG3q+j//dKlSxcTAt0CdYxIK5CXng5aTo5W oSbxLwnNDd+01ZR4VacIZQtfBSSx1pT1gZGn09KTrl271tPTg/c5AfxA6w8Q Eai3gGjAkgGLjVevXrGTIgt8vxWLsvbm7kpz/3bnEeu91nFiV1YsDtilbD3q Sk9O6+7uxrvwgJ9AvpqXlxse7Wrp/q2xm5x9mJJX8qrZTHWOcItRsaQpGjgr uAVqJzEuVlZWwqTNiwpo/QEiAvUWAKSDW7duMcPN7sdsFou1VoR+b22qvc0w aIGUFYudppH6Z/xLSkrwLjxgEnT7UFpaGhXrc8rtn6YUedeLKiLIKl/4MFbZ nlUyIMkjd01nptTV1cEN7yIBWn+AiEC9BQDpID8/n+m1+XW2GJYVeJWhEUta t+kwSbRJrgQPbVLmpiMe4Rfo8Pge7jQ0NDDSEpxpe4zIsmLxVb7BA6cDlxuT VEOinIqKinp7e/E+XQBaf4CQQL0FACkAaQCbcTHPZ41YOlqrw9dbmBzVMAlb UGXFYrdF9DErWllZGd5FuHQZHh6uqKiIivM96TLZL0pLXy1eZeUGJWHlSXc5 Eu0HVkba06dP8T7vpQ60/gAR0ecB72MBAEBEJqdpjSZfj9wwf2UduqRJJ32z WctOvPMGzNHdulHbNT6RAYMecWFwcLCoqIgWZmboIuceq7pAvsoNpMQ2AYpm rv9LT45qaGjA++yXHPpTwftwAEBooN4CgBRw584dZqjxI/qW+VtrWdA6Pa0N W0/QJKCsWOwwDnGiRtTX1+NdiksOdKdQUJDvHnjExEPOhyHKI1eihfO5Fcak lTH0kLt37+JdBksXKWj9JyZED4CgSEG9BQCgoqKC6X/gOXP7fHwVW7nVxUhp 0/59u09dkJi17rVJ0DnlfeXKFbxLcWkxNDR06dIlF//95lR537SFGhUwW7he VDEiKV1MCHzw4AHeJbFEIXTrz5XP8X/H2Pj7g5sY3JW4ELreAgCAgfSD6aXW m7tLZGUdyNcsDvwu0GXV9sN/2nT41EH7VIlZ62FSxqbDLmx2xvj4ON4FuVQY HR0tLi6mBB8z85RfuIGsc4dbjIoxSSU+KbKpqQnv8liKELT15/VVJKIjY5zh d/F2dDKGZgnsVSwl2gUzWHBXIkLQegsAAC+5ublMyrqhS5oiK2uh31pvkqqh i6yOjcx6LWeJKSsWm49SouOTYWirxLh+/bp/hNVJdznJ97LyBilqhSn5i9T0 xK6uLryLZMlBxNaf66uj73wV6ejACKdvmPPmLef1EKfnXXQPcrp4Av2JbUcJ UDKUGO2CdkS7j/K4K0AUiFhvAQDgIyMjg+XxjcgDA4oCvvMiqZp4yLnHqujY rEYOKWFrVdfzCwiL6ejowLsglwRNTU0x9GBDkrxoyweIN2zPKtl5qxcUFAwP D+NdMEsLwrX+XGXFfPXZGw6llKMex1E5y1EMFDRQ4m3xHO/yyd0xdwVxJRaE q7cAAPAxMTExucYuRURrvRryvb/LKiPXyedxPOJVD1v975bjPhK21m2GQdTA 6NbWVrzLUvrp7+9nshim5C/J0WKelFXkmBylEG5eU1ODd9ksLQjX+nOVdXCE k36f80UoRyFA9Pg8dDITlBVXXAFCQLh6CwDAdLKyspgea4YLdwurrPVxalHk Lw1Jsli3m1us6iGLbyQ5gQAWO4zOuvtFtbS04F2Q0k9lZaVHkK5NgCLussoN VPcMSYqJKdGdnZ14F88SglitP9YdOjo+2UGKbBNpp/y8A2WCskIZomyhu5Uo EKveAgAwI3l5eUzP9YMFwo1rfZWhkeL+tYmjnFvMj91uHvGqWnj0tW5/19f6 7NkzvAtSymlvb49LDDMgyfmm4jmcdXo4hCnbe28vKiqaAHWQFMRq/SfePXs1 PMZp7uGsCuHI+YsnUFZPeiazHRsHayUGxKq3AADMSHFxMdNXoztLQyhrLQr4 ztlZ6Uzwcq48eCau1Lb5fPNRTwlbq7qen38ojGtdcEpKSuy81J0ilXHXVL7w Y642dpOLiqPBnYvEIFDrz+1oHRjheJRyZP3FGa7Fk9nO3d3a19dHIpHWrl37 pz/96de//rWKisr+/fuvXbsm2WIAJiFQvQUAYDauX7/ODD76lKEuuLI20rec J39hRJal8TxFjn4/Zie3XoskYWtFnuztdxaWp19Qnj9/HkM/a0iWRYqIu6ZO D9L5FbZUNXT/hXc5LRXE0vpniISw74KNaB0e4/S+5WyO4cj4iRI7Ezg5DZy7 HRyHS1O2b7o4me3w7KNbq6ur//jHP34wjZ///OdWVlbzL0NAKMBaAUAKqKur Y0Za3Y/ZLKCyjlzeneezxtJRweUC/yM5yGo26VgedEiTmLJqkzLXazk5kUgj IyN4F6Q0c/XqVUffXU4Ri66jldvdiu6hYujBL168wLuolgTislam+z+FCtGs dezdiNauwcnxqP+giRJ3eb7J2RH/03Y5/8lsUeYzDhJ4/fr1Z599hmnqjh07 6HR6Tk6Os7Pzb3/7W2xjXFzc/IoQEA6wVgCQAtrb21nx/mXB6wS01seJWyPI n590l5suD5Y0RQ29w7stoiVmrftO0zcc0re01W1sbMS7IKWWwcFBRhpd31mO husErXOHQ5iya8DhGzdu4F1aSwIxWqvgX/HM01pf9nM+8xUlqGVTMtRiTHkV ZTubtXp5eWF2am1tzbv91q1bv/rVr9D2v/3tb0KXGjAPwFoBQAoYGRnJYKVm eAo6jUCh/9rTjoouF1ZMNwfncyv2m21Q1/OTmLVqnAzV0NtxxOyLwsJCvAtS amloaPCPsLL2W0RTB0wP75RVRs7KGRms0dFRvAtM+iGWtWKDWl/0c/7uI3Ss iZxcYoBLy2v+BChb7tBWPtTV1ZGafvzxx+i+j++lo0ePYkL78uVLoQsOEBWw VgCQDsrKypj++9rStr234ejK1Ehw+38GpJnHN/owVh2zl99w2F7LiSWJ4QEu WRu13XRsVI/Z/SMuMezVq1d4F6R0UlpaakPZwJ0sYtGGOVU+MobS1taGd4FJ P0S01ue9nL95Cx3lzVNyO5jMnwBlO5u17tmzR1FRccOGDdOPytbWFrPWO3fu CHtGgMiAtQKAdNDY2MiKJleFr39vw1EbvcmbpHo6cPls5mDho6Chf3CnaaQE rHWPZczWY3on3eXsQpQowcfh838hGBkZSWcx9J3kaOmLd3gAFg5hyh5BurW1 tXiXmfRDOGvtH+a093L+4iVcnM6bklVI1QxpULYo8xmtdQ7WrFmDlPWXv/wl LOsmScBaAUA6GBoaymAyMqhr3ztr62X/tVaOCu6xqrOZg0e8qo6N6gZt8mFn 9kJ3tG4+Sjlk8U/S+RWe9JXmbl/DIIGF4Pnz55ExVHOqPO5S+t6gxKtauK0p KirCu8ykHyJaa9sbzp+oQoRiwJSxAc09k1umJ0PZ9glprdnZ2VhH6zfffCPs 6QDzAawVAKSG6upqZqjxvYtzzSQwkK/JcP9a31Fm7m43cy+FnQb7dxiHLKi1 apqf33b8uLGbHDZWwYAkm8yIGxgYwLsgpY36+nrvUCO7ECXcpVSQ0HOUSWcy xsbG8C42KYdw1orEsvUN5xPPKaHgz9mXOPmTbzsWGQ+m5INSzpisVUhrbWho +MMf/oCU9cMPP6ysrBT2dID5ANYKAFJDd3c3mxGT5fXt0KVZu1vb0rZFkj9/ b7cbNXHlMXvFjdo2+07TF0hZD9qnbjjsqGOjyh1saeGrEBZNbm1txbsgpY0b N2440/bM+PDdIoyT7nKx9NDXr1/jXWxSDkGt9X8oP4W832T3KaJniLPpwpSX UJxIn5JJUCV/Am4IZa3Nzc2ffvop1tFqY2Mj7LkA8wSsFQCkCXTjzww1vh21 abZWoyFejUZaOcegVm7YhyodsvznRm2yliNT7Mp62Dlj81HPfWabeJ9qtwtR 8g41bmhomOMEBwcH29raUJp79+7dvXv3wYMHLS0tYDhzU1JSYun+LSVhJe5G KkhY+iqGXnCBm5eFhqDW+gePn8KVZyAJEtcNUT+9JEv7UWgx0O9oC+++vCG4 tdbU1HzyySeYsu7Zswcmu5A8YK0AIE309vZmslJY1A1dmTOv7lpzbqOrs7KA U82beyn8YKKO9FK8A1y1SZlbTvjuNNx/0m3K9KGkqBUk2g+oXZh+XiMjI48e PSoqKqInpfqevWhPCbcknbUgBZ9xC6UERF2ITcrLy0MS29fXJ/kyX/zk5+cb k1R9GKtwN1JB4kzwcr9wi8ePH+NdbFIOQa319+4/hUX2lGS32znLfH98KaBi ykuaCVN25AsBrTUnJ+fjjz/GlPXQoUOgrLgA1goAUsb9+/dZMR6F/mtnnLu1 Mmy9vdNycrRAMyD5pq0+6S6naaSJxFVcPa6HnTOQsu7Q0zYgyXklT/Eo91jV M9TNFRVT2puJiQnkq5mZWRT/qIMm1A3arur6ATtNwjVPRe0+dWGXWeR2w6BN Rygax91s3cOSGem3bt2CR3r5yM7O1nNUWPwTCGBhF6JEPWt48+bN7u7uzs7O rq6uN2/ewLppYoeI1tr2hvM7tylR3DQl5a32yY274qds9L/KvxdfCPI0VkRE xIcffogp65kzZyaEmm4AEB9grQAgZYyNjRUXFzPP6t2I3DC91Sg/u+6Mo6Lb 7BMI8IUPYxUS1x9Obtuo47b/TNL8x7IiAd5luM/QRZaayP+FNSVhpZXHd2Vl Py1jMzg4iP4MCIvdecJdXc9vjkG2B+0ZO4xDNh9xdaRG5OTmwrzfXFDzymIx TzjK4K6jc4d3yiqnSGVLX8VD5p8e0dsQ6klODw9MC/ZJDw9gRoWxGEn5+flV VVWNjY29vb14F6o0QFBr/b+uU+JT70lT5SW6ZsqWJ92Tafj24ov3Wqurqyvm q0hcw8LChD1+QIyAtQKA9IGa9awMJtNHoyFeja/VKA78zspRgRIvqLX6v+tx NafKH7L418bDZzROhh0mZYgyKsAlS9P8/MbDjvvMNiIN5utlxQJ5rLnbP5Fy Y2fx5s2b3Nw8C1LwpiMe+88kCvIuhxzTt56gaZl5JzPSnz59iutFWCwga2Wy 0heztZKjVcy9FAzPyDjoyfjul4nYIkPfJMfaqpC1TTF3+/LsbYro98RNcvEa q5P0djLI1sz4mNLS0ubm5vHxcbxLl8AQzloHRib18j/I/PE3r8lBrbOhETfD LnyBsp1tlQGEv78/pqwff/xxbm6usAcPiBewVgCQStra2jLSEljeas3J6ryt RlnwOhtHxTkma50t7EKUjtoqaehpbdRxQ/4puLsiX91jeXHTEcq248d0bFSt /RV5x7Lyhid9pYX7GiQk6Pj7+/uRsurZ+G057iPsKl1IrXfpedCT02CJJYx3 IwTkF+EIAdeLKifd5CzMlvntk43fLFuooXRrn2qz9uedx76aHs90vrh7YGXJ LuXkzfKJR9TS/Cn5+fnIXfEuXaJCRGt93sv5rcsMsSZiZnGlXZk5PV/MsTbW w4cPf/WrXyFl/e1vf1tVVSVSIQHiBKwVAKSVpqYmdsoFltemRvoWbqtxNeR7 e6flyBZEcAxklaYUeW3rz7fr6Ww4TNpuGPSDddxsD2ohrd1rk7DDOGSDNln9 +Akty6+Rn8w9MsE9TtXGc+PVq1fHx8dLSkrMHIO2nqAh6RWha3eXWeQPhhQW KwO+Tea8exrLaJE9jYUOxsJXwcRyWeAe2bQtCjV7VZ8f/XJGWZ0eL3W/RPqa oa5I3782PdS/rKwMnsITAWJZ69g4Z3CE09HH+Y3LzHE4hX+vpm7On6mzpucN lC3KfGwma928eTPW0bpixQqXWYD5LiQJWCsASDGPHj1iM2KY3urcpQeuRWwg OSuTzos+dScyXnOq/FFbpb0mW7cdP75By36jjvuWE77bDAKQx6KfW/Vom45Q 1ms5bD2mv8d4x5HTKiYecqSo978jOVrFwUfj2rVrdXV13sHRKJP5zF2wzSDw pH0g7yjZJUtxcbGF+xp004G7rHJvTwxJsmRdmQQ1ues/qCALFdBX+eLegVXI eJPMDmWzmc+ePRNjiU1MTPT393d1db148aKtra29vf3ly5fd3d1DQ7N/FU00 xGitQsV8rPVFP+c/XTn/hzRznJyasXrMrCl54/fuk9nOaK0PHjz4QADgQ0aS gLUCgHTT0tKSkZ7E9N9ffnbdQL7m/ZjN3iRV27PzXSbJK3mVfZgS0tcTjjLI Sw9ZfLPffN0+s437zb8/ZLFGx2bVCQdZU095uxAlz2lPXc0WDmHKlODjNTU1 aUzWNl23A3Yp83ny6zApY9MRj9Bz8TDA9fr160603YtklQGXCyqGtjKBe2Sz tyk+0/lCNF/lRsfRL4t3KtP3/osZc76+vn4+pTQ4OIjU99atW0VFRZmZbHS7 x6afZcX7s2KorFhvVnwAOzGUnUbPyclBlnLv3r2Ojg5Cz30kLmsVAWHfBbPW t6OcrkGOShDnV86zhkMBp3twMowz5krGGyhDlC3KfLq1ZmZmCmKtV69enX9J AgIC1goAUk9nZ2deXi4z0ibH69vK0O9DyZOrUInRQ5DBusWqIhshnV+BfrrF qFCTVmKLtAoV1v6Kweft8vPzHTzDtxsGzUdZsfjBKuawuTcsav/gwQOvEMPF sKIrKWqFsY1MuIZsueaKefoqb9zep0rfsSo98uz9+/eFLZyRkZEnT56Ul5ez 0xKRoDJDjZg+GizKt/m+35YGrbsa8n11+Pqq8PVXQr4vDvwux2sNk7KO6beH GWGBPDaTzUR3BM+fPyfiPEgEav1R6Y5PcIbHOK+HOGZZnF84iTNOZk5mizJH b0HAy7jkIFC9BQBAZN6+fVtVVcVOikz03Ek2UDJ0kcVdYKaHsdvkUp4MBkPj uNtBe8b8rRXFRh336Lik7u5uvK8AnrS3t0fGUMy9xHmrIkKg2xkjW5mI7bLV P6iIUVmxqDu4ir5NhRkV3tjYKGCxoH8KZLnZWRmsGE9moFYW9dvKsPWP6Fu6 MjVmnOsYi6FLmi9YO+7HbEZOy/L8jhliwKYHX7p0CakvseY0IFbrj3xyZIzT P8y583xyrqqPHMUTKCuUIcoWZQ7KSgj0ecD7WAAAWFja2try8/NdbI7pn5Gb Pl0qvuHDWGXkrJKUlBR+gb5ZlyoWZdV5N5+APSX8wYMHeJc9ngwPD6czU/Sd 5EToABdXeCWvMnCSDdklW7FbnL2svHH3wMqEnZ+zEuM7OzvnLhCkl6hKZGUw WVGOTOqmKyHft6Soz2Gqs8VAvmZDvFqh31omTZMV54P+uRb5gzn6U8H7cIQA GyQw9G6QQEgV5yMnzoeO8w2UCcoKZTg00/AAYHFCrHoLAMA8GRsbY7PZZo5b HMIEWtRVYuF8boUzbQ+DwXCkRiDVFJe1Ti5McMoHBp6VlJRYU74XYcYzcYUp Rd7zsEzBjuULpKxYVO1Roeuo5eXmzLE+2suXLwsLC1kxniyvTVXh62db+1io aE3dVhz4HZO2h50UUVFRMTAwIMmLKxqEa/3H/93d+rx3crmrj104P3cQPdDu ARWTWWEdreOgrASBcPUWAIB50tHRERVHO+kuh7up8oaZp3xkDCU3N9fYPnCP ZYy4rFXLibVd1zU/Px/vUseZ+vp6v3ALa39FXC6uU6SylcmyVDX59qPzffzq vZG7fTnDxeL27dvTC2FiYuLBgwcZaQnMgIOX/dd2ZuyYv6/yxpPkrZMDX8PN crIz29vbpx/AooJwrT/W3To8xul9O2mblU85uqmcZT6cXzhyfmYvaPzamSNP 45xI51Q/m8ykb3gyQ+hoJRCEq7cAAMwT1Hbn5eWZkr+kJCyWQQJeyauMSaqZ WRlXr149auk7x8qtIsT6QyQRHluWMvr7+1NS4w2c5SS/1oBv2moDJ9nwHbL3 DqxaaGVF0aLzOV19BSsx7vXr17wlMDo6WlFRwYr3Z3tteBDHv2acuGKwQLMq fD2TtovNiKmrq8PrcgsCEVt/rrj2D3NeDXBa33AevuLc7eDcbufcaOVce/Zj VPMEd2NN22QylBjtgnZEu/eDshIQItZbAADmCWpP/cMtLX3x6XmbHjYBit6h xnfu3EFeoW3uLeD6rYJaqxaJyWQR8Slv8VJeXm7vvcP5nKTnv7IPVXLQk8nZ vrBjA3jj6u4VyRZHrl27xj33t2/flpSUsKIc83zWvGSLuYt1ejyib2FT17Pp obdu3Vq0FY+grT8mriNjk4NR+4YnR6W+7J9cJqC9d3Jh1tZZAr2EEqBkKHH3 4OSOaPcRUFYCQtB6CwDAfECNODsj3ZikuhieyfJOWWXovDwtPWlgYKC6uvq4 NW2vTby4lFWblLnxMCkrKwvvIsef9vb26IRAI1eJPpOF3svAWTZiu2zDodUS s9a2I1/QtyxnJ9P7+/s57x5Gu3z5MjPCotBvbV/eroVWViyeM7dnen3Hiqfd uHED7ys/M4Ru/ZFtYu76dnQykIIOjExG//AMgb2EYmj0x/SYr44RacoH4EcI XW8BABCZu3fv+kdYnvLGeTYkFJa+kx2tN2/exI7KghSseSpKXNZ60D51twEF SQve5b0oKCoqOkNVk2R3q+tFFSvTZaytChJTViyKdyozXCzr6+vHxsbKysqY kTZFAd8NFmhKRlmxeJWhkeW1lpUQiGo13ld+BqSg9R+f+FE+hQ149oq4SEG9 BQBABIaHh3Nysi3c17hcUMFRWd1iVEzJX2VmsrG1Mpubmz0DLmwzCBSXte6x vGho63/9+nW8y3tR0NraGkMPNiDJ+aZJqLvVyk/R+5DMtQWYoHXuaDi0mn7w O2Tp1dXVrGiXS7RvB/IlqqxYvGDtyKCuYydFNjU14X3x+YHWHyAiUG8BYMnS 0tJyMSHQgCTvnbIKF2X1YawyJMtGxfpwZ4bv7+9PSGJs0HbVdskSi7Wq6wcg DX7y5AmuJb2IuHr1qlvg4dOByyVziQ1dZM+pyzZrfy5ha0WRtFk+MtCfEROY 7fVtb66EBgZMj2ep25heapksRk9PD94XfwrQ+gNEBOotACxlqquraeHmpp7y uMw/f8pbgXpWn28y1dLSUp1T3j9Yxc5fWbWcWJu1yanpzLdv3+JVwouNvr6+ dGaKCXm1W8yC97FTk1aetFrGUJOXvLKiKNix3MtQK8rhu7a0bXgpKxZ3Lmxi BukUFhaOjY3hff1/Alp/gIhAvQWApczIyEhBQYGj7y4rP0nPJ2ATsNzWa0tu Xg42NoBLS0tLYHisWJbH0jgZakk6u2gfh8GLR48eRcf7G5LkFrqP3fWiymnj ZfkLvLLAbFG5R8V/71cs92/wVVYUI5d3FwV8x4qhLKo12qD1B4gI1FsAWOK8 fv06M5Nt47lJYt8ao7ALUbL0WMtip3V1dfEdz8TERGFhoY6Fj6b5+fko6wG7 FPWjbsmM9N7eXlwKVmT6+/s7OjoaGxuR5Nx9B/rl8ePHaCP2UPz8qaqqooWb mXjI0xZygKtDmLKLrswVzYVawnXuuHtgZdgO+YqQ73G3VhSdGTtY1I2Z7NS+ vj6xXMH5A60/QESg3gIA8OrVKyYrxYaywdpPUQJDBZAeW7p/y0hPRBo24/G8 ePEijs7YcoQs8nIDWk6sjTruPsHR9+7dk3BhisbY2Fhra+uNGzfy8/OZsRfS Aj0ZLpYptobJVroo0C8MslVaIJUZF40S1NTUtLW1jY+LPnEPNhmUW+Bhcy+F hbvitmeVPLRlqiX+KBYW9YdWxWgqlp9dh7uyYnHz/EZm+Cl07cRYbeYDtP4A EYF6CwAA593i7JmZLHvvHUhjfBgL9cWxb+pqCx+FM1Q1Fjv1+fPncxwPss3A 8LhNOm4HbJNFUFa1Y942rqGlpaXzUTvJMDg4ePfu3ezMTCSlSSYHEnZ+kaom n79jebnmCuR7NXtVUaBf0J9525ejlxJ2fZlkeigt2DsnOwuVEt/4CqHeNz8/ z5GmecpbYYF6XNHtCfWQDDp+XKy1UWs1XXN5ceB3uPsqFn15u9jUdRnMZHF1 mM8TaP0BIgL1FgAAjJ6enty8HK8QQ0MXObdYVbE7jEe8qhFZlhKsm52T9erV q/cez7Vr1/xCYzZrk3+wihFcWQ/aMzYd8bAihxQWFi7yh7BGR0eRr2akMRjO ZvEan2dtU0SC16Lznsftm7U/R8ky1RUTdn7OIFlkpqfev39ftMd8ent70RUn +x8wpcijG4oFsVYtXK119yKyVhQ15zYyI61ra2vFXpdEAFp/gIhAvQUAgAvS vIqKiqhYH1Pyl5Y0RXF1uqJ8rP0VTcirI2Mo5eXlg4ODghzMxMTEzZs3I6Pp u/Q8thkEHnJMn9tXD5MydplFbj7iSvGPKikpEbkTUjJ0dHTk5eYy3G0Ttq+8 vFPpifBzQ6FdCjWUEnasTPW0z8/Pf/HihQiH0d/fj/TeK8Rg8oYiXsy3KrZn ldx18BwhQN+rtHhGCKDoyd7J9Nqck5O9GL4CgNYfICJQbwEA4KOxsTEzk4VM xsBZ4XTQ8vk8aY581TZ4uYGzPCVYl8VOa2hoEHZZ9idPnrAzMu08wrYcdd1m EPCDdZyWE4tXVrVJmfvPJO4wDtmo7WpoGxCfyLh9+/aimmKID1QC9+7dY8ZH 0w9vyN6mKIKv8kbT4clOWrrOZhY9tq6uToTjQbcqV65cQTcURiQV+zAlMQ5z dYxQJh2XKdNUxsVa7+xfmailfC1iA+6yyhuTkwkkBLa3t4u9XgkLtP4AEYF6 CwDAdAYHB2/cuMFIi/cMPmFIUrLwUXC5oCL46Eda+mrXiyoWvgoGTorugUeS GDHV1dUiD+dDB3Pr1q00JsvDP+qYFW2LDnmjttvmo56bdambjnhs1CIdMvWy p4TH0RlXr16dPinBomJ8fBwVRVqQF32byg3xfXV+7QcV+vZVaWd9r1+/LkI/ HhJpZLzJqbH23ttPusm5i2l8CKoDNieX5W7HZ+arit0rkvVW3o/ZjLup8kZD vBoz1AjV54WoXUIBrT9ARKDeAgAwG729vTU1NSx2WkiUk63XVn1HeTNPeduz SqSoFZR4Ve+UVb5pq/2Yq9FP9DslYSXabheiZE6V13eSP0PdHHzePp2Zgjzq 9evX8z+Yt2/fPn78uLKyMicnJzE57UJsUlRMUjydkZGRWVpaiqTrzZs383+X BQX5JPLqVKpjyhbFRq3V4pW0h1qrk7csT/MhoyIStkMbo7Ozs6ioKPyiuyn5 K3Mvhfm7K6oVBlbLkjfjs8oAsmWGxRfPUnFeYoAvJgcJeG+9dOmS2GuXsEDr DxARqLcAIBmGh4f7+vp6enpevXrV3d2NhHBwcFA0u5Aw6MifPHly5coVFist KtbHO9SYRPvByuM7E5fPDZ2U9Rzk0E/0u6XHWmfaHu9Qo3MxXkxWallZGZLM BXoeCmWLCpNAZYhx7dq1VG9Sqpr8Aq1w+kT7c8YWhTSam8gLK6DCfPToUXZ2 VnCUg5nr/5p4yDtGKIs2vNk9TtUmQHGb9l/Dtio+PixmRX9vvNT9kr5Zjkn+ eiBfE3dT5YscrzXs1DjcZxKA1h8gIlBvAWCBGBoaevbs2e3bt8vLy3Nzc1lJ dObFc+mRZ9NC/dLDA5kXIpjxMZkZ7KKiIiQzjY2NYumQXFBGR0dfvHjR0NBQ U1NTWlp66dIldF5ZWVnoJ/odbUGyVF9f//z585GREbwPdtHx4MGDtLO+yVvm O5D1veKatHV5epj/w4cPRT5UdKHR7nl5uVFxvi7++w2dl5t6ytuFKLnFqs5h sLT01dTElaTzK6z9FA3JshZu/6KFm/v4UsKP767cI+mFBu4fXEXfs/yy/1rc HXV6VIR+z4rzwX1oK7T+ABGBegsA4gXJKlLQ4uJiVlJCGo2cfEqbrrUhXl0l ebM8a6tC5v9n7z7AosrS/PFPT0/aibu9+8wzMzszuxNane7Wjvv778yq3bYi KkjQVsGAAhJEgogiApJjkaOAIrkIVXCriihJCRIURSQIKoKAZMmpoOD+T3kd BASkoKhTF9/P8z4+ern3wD0cOd+6nLp3z4Y0+b+lyG1Af2fLroveuYF5YHOc 7n6W3XkiLDgjI+PBgwc9PT24TwKIWVdXFyc2OmbvZ4/EvTDgzXqo+lmM4hfc eOYKl/hOTk6iZIVeUnG5BIqvrgE6pi4yetabtK3+ou/4oaHzujOM9cbu641c 1xs4rTtl96GW5YdG9n+38tjve8WMmRCanZ2NgnpjYyMRGpS4a72EU2uWwkcJ pz+vjZLFnlHfrAdhMpyrF1fyskIs1sDsPzW1/AI0tQbGLQBSoq+v786dO1xW PNvpIvOYTNzOdZl7/1Z2YNPjI5+3nvhy3rm1Q/2rhmNfPDj06U2lj5N2rY9R +irBTIcIC0Ght6WlBfcJAfFA8Q9FuFj13SX7JXQPqOL9n8RpKeTm5opl+YRA IOjo6Kiuri4sLEQvrNhJcZGxgdeivUIinIPC7K9GMsJjfJjxobyXvzhA/wUa GhpmPrc0JyeHeXR7pcqnEousz9S+iNm9jmP396EMJewZ9c16GrebCNDB/oYs Ws/+0+Fz8p8lmHx7Te8M2ZW+aD1uAZASQ0NDpaWlRExEvIk6c/dH2Qof1ah+ 1qn+laizLUqwt/Z9wpZdhxJOYqAnmu6x/xoRrFxdXV2imy13zwaJxTY09ji7 1yd6OT1+/FjspzM+Pt7f3//ixQsUZdva2rq6unp7e9F/gYUScmNjY6KPsyRP /4bix3Gam8pCpOueV9PVwpYjfI7dvn1b7N8akdB09p+ZV1EQHReQ/Jc1NiGs 0QWK+ii1JzqESrCQXemIpuMWACkxOTn58OFDXiIL5dXYXRtQ5nx+fP7LqiJF jopDnxK71zPVdhKhQcXFxdjfuAGWDWW81OTkGKWvHq/+2oCZVXf485j9/5ue lor91rXUpWammuy9g5J4SNaTI5/H7FnHsf17f5oi9oA6b7UT8oTXoaKiIrzf FzrO/tN5deJlXkVxdHicHOST/WNk3yjZ+7J6RsgXMwr9k9qOdkC7oZ3RIehA dPjEjOwK6IKO4xYAKTE4OHjz5s1Ed9sYhS9uKn280DKAZVf5wU3xsuvjTTRS uZzm5mbcpwuWo66uju1snoHjnqWpchvYDOsnT57g7gOyra2NCAuO27WhSU3M /0fmVMfLi8wsgy8qw2Wwp9OFqou3l/DYX1BQgPebQrvZfzqyUnm1uZ90yiP3 RJEb/ckNPksttLNcNMkoEB5OZVcIrvRCu3ELgJR4/vw5CpNxhofRLCn2e29O F0rCuYofMw9uJsJC7t+/T6O7PAGK8DLjoS11hyV96ydUNaqfMQ9vy83Nxd0H Qnfu3GHZmiTv2bCMlTNLL/TiMUD+wyyPLWNZ+7CnU7jWKl7TkXVknEyqJr8M JNd7L7++CBQ2gpqaDq6AFmg3bgGQBvX19ZyYSOahzShStp9YxVmYKuGzKfd8 lOhhX1xcjP0XvmDpuru7idBAyb+DfrpYsuuI8Cu9vb24e0J4Ny0U4ON0v8tW +GiVTvb2dxtDFb66dPRv3by92KPpIvU8UY7wOVpaWor3O0Kv2Z+6HDoxKbxA itImip3rVlyoEdQUahA1C5db6UJ7BtxfCwD08PDhQyIsmKn0pRifyPnWom4g z7K/kJ+fD3dDpYvq6uoEM92ifZK+W+l0FSh/wrI0qK2txd0TQgMDA2nJvNgT u9FrPbFfcUX/GWOU/5+jhVmo+VbpvHXAdDXE7yb8te7duyf5b4H2bJL/ApZt 6uV7r/gCsrGX/CyA/NBLPIWaaugVNiuYhNRKD/QatwBg9+TJE+JaEFN+kyTv 5ENVk9qXxO71LBvjwsLCZTxrHkheXl4e8+gOLMsDqKpR/QylRDRgcPfEKy9e vEjlcmI1917f+7c28f2S4ta+T5gH/o/DjGSz2YTXwXZCHns0XaSqwndyQkzr 6urwfi9oNPtPX2gdHicd88i/eomz7G4Im138cmt/f7+5ufn//M///PKXv/z9 73+voqLi7+/P5/Ml2w1AiEbjFgDsmpubiegwptKXko+sVDWrfZm4az3b9RL2 2+aAt0KvLHgcImbn+o7VXMm5eLWf+Cp610fJPB7uznitt7c3Iy0t3kQ9aZcY FoSjl3KpchtiNeR5rLiWlpb79+8TgbpPmLuwR9NFqiToW06Ey/Pnz/F+I8Qy +/OWRdTPQq1o5QvIgTFyZwT5F8/llGIMmVZHVraTFlmztsuEC5vlL7y6taam 5te//vX33vDtt98ODAysvA+BSCC1ArBE6OV2clIi88Df70pwYcCb1Xjsi4Rd GxIDPbE/WwcsDs1oRFgIsRvbolaq0MscIipseHgYd3+8hr6Y/Pz8RC8H6uYb y7tZHArkpd9tjN39Ecv6TGZmJvUgMOGC82vWd6/swB5NF6nr7lu4rDDsgUdc qVXT/M8i1fJSq+DlitYXI8L1qH/yWE6hvDptb/Tr7R96CZtFjc+7SGBwcHDd unVUTFVRUUFfPJfLVVRUpLb84x//WFn/AZFBagVgKQQCQW5ubpzegTylj/GG EFS1h189srO7uxt3x4AFtbe3J3o5Xd+L4Z5XMytd/m+Jfm6dnZ24+2OWqakp 4Y2O2az4c5rM3R/lK3/ccOyLJZ5Rs9qXJfs3Jsiuj9PdT0SH3b17d/p3tX19 fdyE0Ez3Ldij6UI1kK5EuMhkZGTg7X9SrKnVi/PFEmuFqbVziPxv9+WUS/6s Bo+wZn0UNbtQar127RoVUA0MDGZuRwmW2o5eKInca2AFILUCsBSVlZVsZwvu ng0Yf9s7s4r3fxKrIZednQ23FJBazc3NbBfLXEXML3OyFT5K9LCVzoesDQ4O Ch+CHM9MuKgXo/w/nN3rC5U/qVb97Jna3ATbcvxL9GKteP/GVLkNMXKb4o3V iPArBQUFb75wQ4EQxUIUDrEH1HmrPnY34X+yrKwMS4fPRK/USi1q7Rgi/+gm cm0OET5iYNqzvrk7oGanl7bOsXv3bhRN33///Tk34rh58yaVWgMCApbTcWC5 ILUC8Fb9/f3c+Fim/KalXw6SQPH2CO8h//DhQ9zdA+bX0NDAsjfNV8acWm8o foxecDU1NeHujwWh7IpeFaanpycF+7IsDWI15VGCjZH5MH7nOrbsugTZdUyZ D6MVPmeqySaYaiX6MVJ43Lt37y70i4Z79+4Rl08/jJLFHlDnrXy/bzhRbtLw 7aBjam0bIP/AELkKGme1pho/dwfU7EKpFY3M8PBwb2/vOdvRcKVS6+XLl0U9 HbASkFoBeKvCwsI4g8OFytjuXzRvCZ9cqfAFL5ElVUsWwbTGxkaWoxn2JSW5 KLW6XpL+Z6tNTU2hIFpbW1tcXJyVlcXjcDjxsURMBCeOyU1KvH79+q1bt6qq qtrb2ycmJhZpp7Ozkxt7OctDGhcJDKQrcVy+TUnmSsOvSGiXWof4ZOsA+Z+u opXp7LUYASXz7IOaRY3Pm1rnhUYgdQ0WefbsmainA1YCUisAi+vq6iLCQhJk 10ngaQLLCCQs89MVFRW4OwnMo6Wlhc2wzlFcrZvqL7GyFD5K9HJoa2vD3R+i QSF2fHx8dHSUz+eLep+3zMxMwm1vm/Td/6oyXIYIMsByp9Y30TG1Pu8nf+si Qm3wnrU2oLFXuOXN3VCzg0tIrSMjI0VFRVZWVps2baIi66FDh0TvM7AikFoB WBz6MRV3+lDpdxuxZ9Q365naFzFym3iJbDS54+4nMBd6vZPo754mj/ndWMl7 NiQF+VBvsX9HPH78mBPhlO/3DfaYOrNGs5RTXLdw2VHS8KgykoapFQXLln7y N86zar0XeTBW+Oec7VTxZq+fQnvOu1vL0lJrWFjYzDtfqaqqwiO2JQ9SKwCL 6O/vJ6LD42TXS+GFVqpyFD9i2ZyF1a1SaGRkhIiJYMmuwztC4nau48Qz36k7 ok9MTKSlphCM3VL1uIGq8J1EgG5JSQnu7nmFpqn1106va52n8PIp0jtKylyb 9SFUJ5NmNeJbPHeH6VpiarWxsaHemTUdXPft2wcLtCQMUisAi6iurmZZ6mN/ Q80i9ejI58xDm7OysnB3FZhHampqtNym5d2PVCzVpPZltMIX0nCfJQl79OgR J5KR7bV1PGcf9ryKqj9NkefyDS8ppqenB3ffvELT1Pofjq/LLvf1Pii4bg99 /aG/erwKtBT0d7Rl5rEza4mpta+vr7+/f2xs7ObNmxs3boRFAlhAagVgEZmZ mTHf/X3lT/BZ1UratZ64Ggj3bpVCJSUlcdpKuJ6khur+wU1xegfu3LmDuyck bXJyMicnh/A5UisdNxMoDNjGCbW4f/8+7o55jaap9QOH12WcOmu3+63kn91f fci7aNaHlGNmHTinlphaZ0KvPn73u9+h1Pree+/BA18kCVIrAAvp7e0lQoNQ JsSeSxevon2fJJjpVldX4+4wMNeTJ09YDhcwviErW+EjtotlQ0MD7p7AQHgz AVYk12VbN08Bb2Sti5YlPPenp6VK1ToNOqbW5/3kv9rPqhtPZ+1Z3ircqBQ9 a6PXrblHzaklvhtrDjs7O+pya0JCgqhnBJYNUisAC3n8+DHL1gT7nYveWnWH P2ce3Z6Xl4e7w8BcIyMj3PjY2F141kW3nviSuetvXFbC2NgY7p7Ao6qqihPF uO6+ZSRTGVdk7eTu5bp8y2VHtbe3v/0rliCaptZf2c2q/2IIk+pMYXdnbWno Ee4z56g5tUhqTU9P9/PzIwjiza9q+s1Z/v7+op4RWDZIrQAsRPjrXS1FjL/e XWJ1qH/F3Lmey2aNj4/j7jMw161bt+K0le8d3CT5gXHnu41xegel5+0/kjc1 NZWfn08EG9/0/ZqfjWGBa1+qYhpjCyfaSwp/FUK71Do8LoyXv7CdW39wFS5q XYhC1DyHzCnU7LxPGZicnPy3f/s3lEs//PDDN1s2NTWlUuuNGzdEPSOwbJBa AViIcFGr4hdNatjeSrP0SpHbkBTk/U7d3YguWltbk0L8Enet75Tss4DRaxmW 7Doi9HJHRwfuPsBpdHQ0KyuL8Ne6FbBNwu/MGkhXuu6+hRPuUFpaKoW3SKJj am0bIH9mM09tDp4/uHoUzr//nFrk2Vj79++noumcy61NTU2//OUv0fYf/vCH cBsBSYLUCsC8JiYmuGxWrMyH2BPpUkr4/CNnc3hKi3S6ceNGrIZ82QGJXm69 /d3GOG0lWDeCDA0NZaSnEX7q+X7fjGVJKLj2pipmuG3mXLMuLCwU9SkJkkGv 1CqYJEfGyfZB8qc289fRN9aWPu0hf+ey4P4zCzWLGhfMl1rRf97vf//7KJ1+ 8MEHCQkJ6FspEAgyMzP/9Kc/UWnWyclpuZ0HlgNSKwDz6uvrI64GcvdswJ5I l1Kl321MMNWSwt9CAqSjo4MIvxq3a0OLpG6B1aT2Zezuj4iosK6uLtxnLxUG BgauX88gLp/O8do6kK602pG1NUk+1XUrJ8K5qKho8efPYiTG1CpSrSS1dgyR v7Qjf2I9f52e3fCeiAX3nFkfOAibXSi1Ivb29tM3aP3JT37y4x//ePqfSkpK 0vmSZA2D1ArAvDo7OxN9XTNwP9hoiVVx6NM4g8Pl5eW4uw3M7/bt2ywL/XSJ DKdO9a9S5TawrI3v3r2L+7ylyMjISG5uLueaVYrr1ibWnlXKq+M5+yrDZTiu O7lM/zt37khzpBFXal0GUT8LlVrHJsgXI+RGX/LHVguWRSbZMyIsPd5iu80s 1CBqFjW+UGpFkpOT//KXv8x8MNZvf/vbyMjIlXYfEB2kVgDm1dramuhhl62A +SHyS6xKlU/jdPeVlZXh7jYwv7GxsYz09NgTu4r3f7Lag6FQ+ZNYTfnMzEx4 d94cExMT6P8INy6YYOwpCfp2MEPMF107uXuzvbYSPkd5SXGPHz/GfbpvQaPZ H4XJySmSLyD7RknDFPKHl8RZp5OFzaLG0adYfPVxS0tL5ktodpDUqdNPdXV1 TExMYGAgQRC1tbVLP3BwcDA0NDQuLm7x3Wg0bgGQpKamJraL5Q1Fab/tFVUP VT+L1ZB7l98tLv26urq48bEx+/++qvcTuPPdRuaBzTxWPLw1byENDQ2pKTxO yPlk161V4TuHr4vhpli9qYqlQd9yXHdyIl1zcnJo0fn0mv1RnhwXkEN8sqJN eK+qH1iKp1BTqEHULGpc+t4wRz8pKSnas6Wmpr79sJdQ0EX7m5qaLr4bvcYt ABLT3NzMdrXKpUlqrUGp9aRCaWkp7m4Di0EvhYioMKbSl3dX551Zt1Fk3ff/ OMzIlpYW3Ocq1UZHR4UXXdlRRKBessvW8tAdy3sSwXjOvueJckWB2zguOzhX zVN4SXV1ddK8KmAmes3+1CKB0ZeLBAJKyB9cIt+3XGmhRlBTqMHRRZcHgCVC P3ZOnTqlo6Nz/fp19LMuOTmZCq6VlZVvPbagoIDaGVIrAMvT1taW6OWYRaMV AnoHYB2j9Hv69CknJpJ54O+Fyp+I8V5YqKl85Y+ZhzZzYqMbGxtxnyU99Pb2 ohd63MQYTsh5grE723PrgzCZ1iT5t95nYChD6VnCnrtXdqS5bia8DnDCbFN4 HDQ1ozCM+5xEQLvZf/Kfl1vbBoSPu/q5Dfl9i+UXOty7SNgUdaF1EiLrirm5 uaFBFRsbO70lPj4ebfH19V38wI6ODn19fUitAKxEV1dXYoBHGk3ejVV+cFO8 0dGKigrc3Qberrm5mceKjz2pkCK3ofHYFyv/7jcc+4K3Z0OcjjKPzYIVd6Ia GBioqqq6fv06N/YyJ8SU8DrEcdpy3X1LYcC2spDt90NlqsJ3VobLlIfuuBOy /abv18Kk6vwt4Xucc82ay4q4cePGkydPpOpRrUtEu9mfutzKF5ADY8K0WdxE qrPJP7uRP7Qk3zNfav2LFbnOgzyZRJY2CxsZ5AsbhAutK4f+C+jo6KBBNfNV c1NTE9qCto+MjCx0oEAgcHZ2RrtdvXoVUisAyzY0NEREXkvctR57Il1KFe37 hGVp+OjRI9zdBpakp6cnKyuLZXcuVu6T4v2ftC33ea/owFv7PmHKbWQ5mOXk 5PT19eE+M7qamppCL1QfPnxYUFCQnMxDcZQT7cUJs+eEWnKuXOBcNUMZlRPh yGX6cxOZ6enppaWlKKz29/fj/sKXj46z/3RwHeKT3cNkSz/5qJusbCfvt5Jl LeTt5ldVOqOmN959LtwN7YwOQQeiw4cgsopPQ0MDFVDnPFDj1KlTaPvTp08X OpDL5aIdPDw8qBYgtQLwJvTfCk03z58/RzGvqqrq/v375eXllZWVNTU16D8O mrzGxsbQPmjuit65oUOyjzRaXmUpfJToYQ/X2WhkfHwcDTxObHScvkqc7AaU XUV6CtsztS9QXo3btSHO8Ag3LubBgwdSe19QOhoeHu7o6GhqakKzLfop8fjx Y/STobm5ubu7G/1wwP3ViQdNZ38quI4LhItRB/nCVamdQ8LHBLQOCB/M2rJA oQ+hHdBuaOeeEeGB6PBxiKziU11djUaUiYnJnO1oyyJLW9FLPxR0jYyMXrx4 0djYCKkVgJnQdFNfX19SUpKSmhoaEefuH27hHHTWxl/fwkfP3MfIyu+8faC9 Z2jAleh4VmJubm5oaGiw0v/39KgYfoe72kXsXk+EBdP6ys+7qaenp6ioiIgK izdRj9n7WYrchpL9Gx8d+Xzeq6+tJ76sO/x58f6NyXs2RCt8Hn9ek4iOKC4u 7u3txX0egH5oPfujtEll17EJYaEIOjwurCH+PEV9CNXoxKv9qbwqoMfb5uih oqICjaiLFy/O2W5lZYW2z/uei9HRUQsLC/RR6u43kFoBmNbV1YX+X7CTCCev UM3zHruP2+484bxH21tRP0j5TOj+s+H7z0bsO3NNyfDK3lP+uzTdth+1PaDn rHXW6bTS3oCtf0JBAgUG7NF0oWo5/mW0/KbU1FQpfNY5WAqUXcvLy1OTkxP9 GAmmWswj26N3f5Igu46zez0KqKjQX9A/o/d8wjy6I+GCTqK/e2pKMjoE8ipY tjUw+09OvQqfoha890rsqqqq0IgyNzefsx3lWLR93vdchIeHow8FBwdT/4TU CgDy4sWLgoKCsKg4PXOfncds5XS8vzOJPHKJo2abukgds0lRMYtXNAiROe4k v1//krxsjMz64v2ftC93/eGq1oNDn8bpKMNtr+hOIBC0tbVVVlbm5+enpaVx YqOJsOCkED9URFgIJy4GbUQfQrNDe3s72hn31wvoDWZ/IEYtLS1oRBkZGc3Z jrag7XV1dXO2UysKkKysrKKXqAWuhoaG6O8PHjxY6BNpL0D8pwSAZI2Pj5eX l0fHsnQueO04Zq9keOWoFXfxsDpvHboQu1vLQ/6QiY38jsRd62tUP8MeU+dU tsJHLEez+vp63F0OxGlsbGxwcLD3JfSXNbOcEkjYQrM8TPRAjNDPKGpQzbyf BvqpRW3s7Oycs//NmzcXGZm2trYLfSIYt2BN6unpyczMtGaE7Dxup2gQcsw6 eRl5dWapmMXLarge/k4nUPazfOWPxXinzRVW+4mvmLIbuAlxi9xaBAAA5oDZ H4gX9car27dvT28pLS1FW4yNjd/cub6+Pna2y5cvo5319PTQ369fv77QZ4Fx C9aeZ8+eJbAJdROPXZpuhy0SV5hXZ5ay0dVdqub2ctuS92yQkpWu9w9uitNW Lioqwt3rAAA6gdkfiBf1OFd7e/vh4WHy5Y047Ozs0Jbk5GRqh97e3rKysvLy 8nkPh3Wt4N306NGjiJgEJS0HBf3Lx2xSxBhZX110vZggc9zxnIIiZ/d6kW5V tEqFvoxEP7fm5mbcHQ8AoBOY/YF4DQ4OUqtYzczMrly5gv5Ef7exsZlehE9d etXR0Zn3cEit4B305MmT0Ig4OQ37fcZhYs+r03XkEkdW3UVf6SCxe/3z4ziD a5XKZ8zD27Kzs+HuAQAAkcDsD8Suvb3d3t5+enmqnZ1dS0vL9Efv3LlDrQGY 91jqQVpv3jtrDhi3YM1obm6OYrL2ath/ZxK5epGVqqNWPFkN17MKSrw9G3Dd WKBT/SvhhVZv54aGBtx9DwCgGZj9wSoZHBx89uxZd3f3alxOgXEL1ob+/v4k Dm+fjtO+M9dWO7JOX3GVOe5kLS+Tq/gxltR657uNsRryOTk5k5Nws2wAgGhg 9gd0BOMWrAECgSA3N1fXzGuvXoBkIitVqubsnYct/WS/rDj0qYQja5Pal7G7 /kZEhL55RxEAAHgrmP0BHcG4BWvAw4cPGb5hO9VdVn6HK1Fr/9mI/QcM4nau k+QtBTrVv0res4Fla1JWVoa77wEAtASzP6AjGLeA7oaGhthJHHkNexWzeAlH Vqp2n/Qw2yt/U0ly6wQKlD+J01LMzs4eHx/H3f0AAFqC2R/QEYxbQHd37949 bxe495Q/lsgqXCdgkSirah6686Nnal9IILKWHdjEPPAPHjsBnkEPAFg2mP0B HcG4BbQ2PDycwE6SVbM9YkngSq2o5E/5mSgoSeBy64NDnzKVvuIwI2feTgQA AEQFsz+gIxi3gNaqq6stnIMwXmil6rBF4i4VsyiZ9W2reResuwc2MZW+JMJC 6uvrcXc8AIDeYPYHdATjFtBaZmamsrajysUEvKlV7eXqVnu5b8sPblqlyHpr 3yfMA3/nREc8efIEd68DAGhvDcz+U1PLL0BTa2DcgndWV1dX8DXmzhPO2COr 2subCRzfr5Eu/zex59WW41+mym2I1ZDnseLgya0AALGg9ew/HT4n/1mCybfX 9M6QXemL1uMWvOMePnx40SlIQf8y9siqJnxaFnenqnm0zPoOdXEuEig/uCl+ 1waWpWFmZuaLFy9wdzkAYI2g6ew/M6+iIDouIPkva2xCWKMLFPVRak90CJVg IbvSEU3HLQBIQUHBUUPGQVMm9shKlayGq/uu/607/LlY8ipqJ3nPBuYxGSI0 qLS0lM/n4+5vAMDaQcfZfzqvTrzMqyiODo+Tg3yyf4zsGyV7X1bPCPliRqF/ UtvRDmg3tDM6BB2IDp+YkV0BXdBx3AJASUlJkTlmc9Sahz2vUrVXL+D4dhli 1/rnx5f/xIFO9a+qVT9LkdsQ893f2QzrzMzM1tZW3D0NAFhraDf7T0dWKq82 95NOeeSeKHKjP7nBZ6mFdpaLJhkFwsOp7ArBlV5oN24BoIyMjETHsnaoOWAP q9O178w1FfXzDBXZmN0fZe79W6XKp0uPrx3qX9Ud/rxA+ZME2XXMYzKJ7rbp aWmPHj0SCAS4exoAsAbRbvafjqwj42RSNfllILnee/n1RaCwEdTUdHAFtEC7 cQsApbu7O+BK9C5NN+xhdboOmjKPGrhcvXo1OYnNdrGM01aK3rORs3t9ruLH pd9trFL57NGRz58e/eKZ2hcNx754cuTzh6qf3T2wKV/54zT5vzF3rmce3cGy 0Ceiwm7cuPH06VPIqwCA1UOv2Z+6HDoxKbxAitImip3rVlyoEdQUahA1C5db 6YJe4xaAae3t7V6BEXu0vbCH1elSMYtX1XcpKCjg8/kodpaUlKSmpBBXAtjO 5gmmWnFaSsxjMsxDW2P2/y/z4Gbm0e2xGnLxxmosW5NEPwYvkZWXl1dTU9PX 14e7awEAax+9Zv+pl++94gvIxl7yswDyQy/xFGqqoVfYrGASUis90GvcAjCt paXFxSdMTtcXe1idLlVz9n5dpxs3bkx/kVNTUz09Pc+ePauurr59+/atW7dQ NM3JyUH7oHCLYm1FRUV9fX1HR8f4+Di2rgQAvHtoNPtPX2gdHicd88i/eomz 7G4ImxXpcquuru6vf/3rrVu3rvJ5g3nQaNwCMBMtUisAAEgnscz+vGUR9bNQ K1r5AnJgjNwZQf7FczmlGEOm1ZGV7aRF1qztMuHCZvlLXt3KZrO/99KGDRuW 02VgZSC1ApqS5hUCuPsGAADeQlypNXrHX0Wq5aVWwcsVrS9GhOtR/+SxnEJ5 ddre6NfbP/QSNosaX8oigefPn//7v/87pFaMILUCmuru7g68GiNV78Y6cD7m xFn3kpIS3H0DAABvIcbUuvQ7+60wtXYOkf/tvpxyyZ/V4BHWrI+iZpeSWqem pnbu3Pm9f4LUigWkVkBTo6OjzDi2VN35SvlM6BkrvwcPHuDuGwAAeAt6pVZq UWvHEPlHN5Frc4jwEQPTnvXN3QE1O720dRHe3t4orL733nuQWjGC1AroKy0t becxm6NWUvSUAVv3K0+fPsXdMQAA8BZ0TK1tA+QfGCJXQeOs1lTj5+6Amn1r aq2srPzJT36CwurZs2e/+eYbSK24QGoF9FVYWKh2xu3A+RjseZWqneouwdeY L168wN0xAADwFrRLrUN8snWA/E9X0co0Y1ZTASXz7IOaRY0vklrHxsY2bdqE kurHH3+M/g6pFSPtGXB/LQCIpra21sI5SOH0Zex5FdWRSxxZNdvk5JQpuOsf AEAqac+28gYlnFqf95O/dRGhNnjPWhvQ2Cvc8uZuqNnBRVOriYkJiqk/+tGP ysvL0T8htWIEYRXQV3d3d0hYrMxxJ+yRFdX+s+Fapl7wViwAAC3QLrWiYNnS T/7GeVat9yIPxgr/nLOdKt7DWe2gPefdrWXR1JqTk0OtZXV2dqa2QGrFCFIr oLWsrKz9uk6HzOKwp9ZdJ909AyOam5txdwkAALwdTVPrr51e1zpP4eVTpHeU lLk260OoTibNasS3eO4O07VIau3p6fn973+PMurmzZsnJyepjZBaMYLUCmit pqbmkkuwPO5nDaias+XU7ZOTUwQCAe4uAQCAt6Npav0Px9dll/t6HxRct4e+ /tBfPV4FWgr6O9oy89iZtUhqPXToEAqoP//5z2e+zRZSK0aQWgGtjYyMsJM4 u07YHbZMwpha5XR9LV2CKysrcfcHAAAsCU1T6wcOr8s4ddZu91vJP7u/+pB3 0awPKcfMOnBOLZRaIyMjqZtcXb16deZ2SK0YQWoFdFdeXm7mcBnj5VZVc/bu E3aJBAdFaNydAQAAS0LH1Pq8n/xX+1l1Y/aNBstbhRuVomdt9Lo196g5tdC7 sT799FMqtX44249+9CO08f3336f+mZo6Oz2D1QSpFdDd8PAwweHt1XQ4dAHP 6tZdmm72HlfhQisAgEZomlp/ZTer/oshTKozhd2dtaWhR7jPnKPm1EKpdePG jd9bgpiYmOX1HlgGSK1gDairq/MIiNh5wvmotaSfOLDvzDVVfZf0jIyJiQnc 3QAAAEtFu9Q6PC6Ml7+wnVt/cBUual2IQtQ8h8wp1Oy8Txnw9vY+N5/f/e53 KKz+6le/ov5ZUVEhes+BZYLUCtaAycnJmzdv6lv4SHidgMpF1q7jdhExCa2t rW//KgEAQGrQMbW2DZA/s5mnNgfPH1w9Cufff04t5dlYM8G6VowgtYK1YXBw kMtLPnDKWdnoqmQi6xFLQua4o7t/+IMHD3CfPQAAiIZeqVUwSY6Mk+2D5E9t 5q+jCXOPetpD/s5lwf1nFmoWNS6A1EoHkFrBmtHa2hobn6io5bD/bPhqR9aj VtydJ5ytXEMKCwunb+IHAAB0IcbUKlKtJLV2DJG/tCN/Yj1/nZ7d8J6IBfec WR84CJuF1EoXkFrBWtLQ0BARHa9w0kH5TOjqRdbDlkkospo5XL558+b4+Dju kwYAAJGJK7Uug6ifhUqtYxPkixFyoy/5Y6sFyyKT7BkRlh5vsd1mFmoQNYsa X3pq3b59O0qtH3/8scj9BVYMUitYY54+fRoTx96v67RXL+CYdbLYI+uhC3E7 1Bxs3a7k5eWNjY3hPl0AAFgOGs3+KExOTpF8Adk3ShqmkD+8JM46nSxsFjWO PsUSUyvAiEbjFoAlamlpSeJwtS94yWq4qpqzxZVXj9mkKBmGyKnb+wZFFRUV wU0DAAD0Ra/ZH+XJcQE5xCcr2oT3qvqBpXgKNYUaRM2ixiGy0gK9xi0AS9TX 15eTk+PoFbr7hJ2C/uWjViu9I9ZBU+bOE84aJh6x8YkPHz7EfX6ArsbGxrq7 u5ubmxsaGp48efL48WP0F/TPjo6O4eFh3F8deIfQa/anFgmMvlwkEFBC/uAS +b7lSgs1gppCDY6KsjwA4EWvcQvA0k1MTFRWVsazkvQtfHYcs1M0CD5yibOM vHrgfPQuTbd9Ok5egRG5ubkocuA+M0Azvb29KJ0WFxenpaUlxCWGhkT7eV3z YlxhOAW5OgR5uIb4eIaGBEYymaxkXnJBQUFNTU1nZye8yw+sKtrN/pP/vNza NiB83NXPbcjvWyy/0OHeRcKmqAutkxBZaYJ24xYAkfT19aG0EMVkGVn57Tpu u1vLY59x2GHLpLcsBrBOPmjKVDh9eYeaw2F9Vze/8PSMjCdPnkzBq3GwZMPD w3V1ddnZ2dERce4uIReM3DUP26gfstU9yjA44W2k6W98MtBYKxD9xUDd59Qx N00V+xOHrI31XJ3tAlGyTU9Lf/DgAUq8uM8DrE20m/2py618ATkwJkybxU2k Opv8sxv5Q0vyPfOl1r9Ykes8yJNJZGmzsJFBvrBBuNBKI7QbtwAsA5r6y8rK ODweyp+nzLzlNexRHEUJdq9egJJhiPKZ0H1nrikbXVXUD5LT8ZFVd9lx1OaI IeOiU1BEdHxubm59fb1AIMB9EoA2BgYG7t69y2YlobBqqOWE4qiRht9F/Qj7 80nOZsmLlKMpx9IwGkVZ7cPOOsfsHK0DmNEJt27d6uzsxH1OYK2h4+w/HVyH +GT3MNnSTz7qJivbyfutZFkLebv5VZXOqOmNd58Ld0M7o0PQgejwIYisNETH cQvA8oyPjz979gzF14yMjCgmyyco0sYtxMzh8lkbfyMrv/N2gRbOQa6+YSFh zCSCk5+fX1NTA1e6gEj4fH55eTkrPsnByl9DxcZA3cfSKGbxpLpQ2ZxNMD4Z qH7I1tzEKzIiDmVXFIZxnx9YO2g6+1PBdVwgXIw6yBeuSu0cEj4moHVA+GDW lgUKfQjtgHZDO/eMCA9Eh49DZKUhmo5bAFZoeHi4o6Pj6dOntbW1VVVVlZWV KKM+evSoubkZJVW4PwBYhqamprTUNDenYE1V2zOa/nbnEpeXV+dcfT2nE4Ky q/VFn0Q2UV1dDetdgVjQevZHaZPKrmMTwkIRdHhcWEP8eYr6EKrRiVf7U3lV AP+TaIjW4xYAAKSBQCC4e/duRFisvqajnpqHrQlr5Xl1ZjmYclAM1jpiG+gb lpeXB3cbACu3Bmb/yalX4VPUgvde0dcaGLcAAIARypC5ublejKsaKrYXT4eL N6/OLOszcSdVHGzMfVNSUmClK1ghmP0BHcG4BQCAZevv77+ecd36oo/2YWex X2Kd96Kr/gmvM7ouiWyipaUF99kDGoPZH9ARjFsAAFgeFFlTUlLMjD1OHXNz NOWsdmSdLuOTgac1HePj2M3Nzbj7ANAVzP6AjmDcAgDAMgwPD6enZ6DIqn/C y+kCT2KRlapzOiF66g5sNtHR0YG7JwAtwewP6AjGLQAAiGpiYiI3N9f6os8p NXfJR1aqzmpdNtRx5nB4/f39uPsD0A/M/oCOYNwCAICoysrKPBlXtA87S3Jh wJtlqO5rbuKF8jM8BQOICmZ/QEcwbgEAQCTPnj2LCIvVVLGVwNuvFi/HC1yU nL3crt67dw93rwCagdkf0JH2DLi/FgAAkHZ8Pj8lJfW0huOq3uRq6WV7loXy MzMmoaurC3ffAGmnPRvuLwcAkcG4BQCApbt37x7DMUjvuAf2vDpd53RCzhu6 5+bmTsHDKcGSwewP6AjGLQAALFF/f39cHFtDxcbOhI09rE6X0wWelqpTUEBE Q0MD7h4CtAGzP6AjGLcAALBEZWVldpZ+Z04GYE+qc8pcP9JQ2zkrKwsut4Il gtkf0BGMWwAAWIqhoSFWQpKGio39uSTsMfXN0jrsFHI5Ep47AJYIZn9ARzBu AQBgKR4+fMhwCjLU8MUeUOctM70wUyP3wsJC3P0E6AFmf0BHMG4BAGApsrKy 9DUdrc7EYg+o85ajKUf9kE1CfOLw8DDurgI0ALM/oCMYtwAA8FYvXryICIs9 qeKAPZ0uUgbqPh6uIY8fP6a+ZoFAMDY2NjQ0hHIsn8+HJa9gpjUw+6MRvewC NLUGxi0AAKy2uro6hlPQGU1/7NF0kTI9FaqnaRUdHV1YWJiRkcEl2NzEGC4r jMuK4CbG8ric7OzskpISdC4ohEOIfcfRevafDp+T/yzB5NtremfIrvRF63EL AACScevWrXMGDHODSOzR9M1yusC7eDr8lJr7ie8uaO5TCLI5RHgdIFy2Jzv/ Xzpjc5bHlkz3LWmum7lOmwnGbsLnKOfqRW5cUFpa6oMHD3p7e3F3LcCDprP/ zLyKgui4gOS/rLEJYY0uUNRHqT3RIVSChexKRzQdtwAAIEkpKSkah6wdTDnY M+rMcrzAPa97RVPF3kRdz9dEKdFhc4H/Nw+jZNsJ+aEMpYnc/TNrPGdfX6pi M1vufqhMttdWwnUnEWzMZYWjQA7P1XoH0XH2n86rEy/zKoqjw+PkIJ/sHyP7 Rsnel9UzQr6YUeif1Ha0A9oN7YwOQQeiwydmZFdAF3QctwAAIEnDw8OxTBYK h9hj6syyMIg6qeJwQUMnzHwnSqFPmLtGMpXnJNVFqjdV8UGYTKrrFsJPk5sQ VlpaOjIygrungeTQbvafjqxUXm3uJ53yyD1R5EZ/coPPUgvtLBdNMgqEh1PZ FYIrvdBu3AIAgIR1dHSEXI46dcwNe1J9dYnVlGOg7qN3+GzwBbkcr60tbLml h9U5NZa1rzZKNgVl12DjFB7n2bNnuDsbSAjtZv/pyDoyTiZVk18Gkuu9l19f BAobQU1NB1dAC7QbtwAAIGEoy3m7X5WSO7XanmVpqTpd0tYgHLc8itm17Lw6 s4avK98O3k4w5LnxV+7duzc5OYm7y8Gqo9fsT10OnZgUXiBFaRPFznUrLtQI ago1iJqFy610Qa9xCwAAkldfX+/mHCwND3K1OhOrccjGy3h/ttfWvlRFsUTW 6WqM35PsupUT4VJUVDQxMYG718HqotfsP/XyvVd8AdnYS34WQH7oJZ5CTTX0 CpsVTEJqpQd6jVsAAJC8uro6Z7vAs9pB2COr5iHLwPN7bwVs42fvE29kpaon RSHDbQvnmnVBQYFAIMDd8WAV0Wj2n77QOjxOOuaRf/USZ9ndEDa7+OVWTU3N Qwvw8PCQbGe862g0bgEAAIva2lon20AT7WC8CwM0DtlcPi9/O3j7eM6qRFaq BtKVMt23cMJsS0pK4J6ua5hYZn/esoj6WagVrXwBOTBG7owg/+K5nFKMIdPq yMp20iJr1naZcGGz/IVXt3Z2dn5vYQoKCivvRrB0kFoBAGBxT548YTgFGZ8M xBVZHU05J1UdvYz33wrYtqqRlar+NMU01y2caI+qqircfQ9Wi7hSq9p+S5Fq ealV8HJF64sR4XrUP3ksp1BenbY3+vX2D72EzaLGF1okkJmZSQXUP/3pT5+8 4cyZMyvoPyAySK0AALC4hoYGL8YVI3wPxjI44X1JWyPba+sqLQx4s7p4e7ku 27isyLa2NtzdD1aFGFPr0kfyClNr5xD53+7LKZf8WQ0eYc36KGp2kdTKYDCo 1Pr06dPl9hMQG0itAACwuNbW1kC/cL3jHlgiq4VBlN7hs4TjFrG//WrxehSz i/Dcn5GRDu/MWpPolVqpRa0dQ+Qf3USuzSHCRwxMe9Y3dwfU7PTS1jcdPnwY RdYPPvhgBf0ExAZSKwAALG5gYCAqIk5L1UnykdXxAldTxT74gpy4bnIlUuX5 fsMJs6msrMT9HQDiR8fU2jZA/oEhchU0zmpNNX7uDqjZRVLrRx99hFLrjh07 lttJQJwgtQIAwOImJyc5HM6JA1ZOF3gSTq3nda+YaerkeG2VfGSdePn8LK7L t8lcNjw2a+2hXWod4pOtA+R/uopWphmzmgoomWcf1CxqfN7Uikb++++/j1Kr mZlZfn6+g4ODurq6lZVVUlLS8PDwCnoOLBOkVgAAeKsbN24YajlZnYmV8IVW jUN2YeY7nycu/+lXK6w7Ids5Vy48ePAA93cAiBkdU+vzfvK3LiLUBu9ZawMa e4Vb3twNNTu4QGotLS1d6O4Bf/3rXwsLC1fWf0BkkFoBAMswNTU1MDDQ2tr6 +PHjmpoalGru379fVVVVW1vb0NDQ2dm5xq7OVVZW2lv5S/jmV2anw8+p6+G6 0EpVX6oix+XblGQurG5dY2iXWlGwbOknf+M8q9Z7kQdjhX/O2U4V7+GsdtCe 8+7WsnBqDQ4OnplU161b99VXX/30pz+l/vn+++/fuXNnBf0HRAapFQCwdMPD wyimFhcXJyenREfEBfqFM5yCHKwDbMx9rS742Fr6OdkGejGuXAmKjotjZ2Vl 3bt3r6WlZQ3cr76trS0kMFL3KEOSqfWUmrufidITJoYVrTOrwP8bTqTrs2fP cH8TgDjRNLX+2ul1rfMUXj5FekdJmWuzPoTqZNKsRnyL5+4wXYuk1lOnTlEB 9R//+EdzczO18cWLFwcPHqS2b9q0aXx8fFmdB5YDUisA4K2mpqaampoKCwsT 4hI9XEJMjdw1VG1OqjrqHfcwPhl4TifE9FToBb1r53WvmGgHG2n46R5jqB+y PXXC3trMJ8g/AkVcFF/7+vpwn8fyoeCNzkLriK2dCVsykdX+fJLGwYuEw5bR LGW8qbUhfjfho1ZUVIT7mwDEiaap9T8cX5dd7ut9UHDdHvr6Q3/1eBVoKejv aMvMY2fWIqm1pqYmJibG09NzzipW9APh008/pYJrfn7+3MPAqoHUCgBYXGNj Y3Z2dsjlqPOG7uoHrQ3UfS7qR6BM9dYZyuZsgqnuVd2jDGHYs/SLZbJKSkp6 e3vf/imlEgrethZ+ElskgDrZVEO3MGAb3siKCsVmjtPXyTzu5OQk7m8CEBua ptYPHF6Xceqs3e63kn92f/Uh79mvsZRjZh04pxZJrYu4du0alVoDAgJEPSOw bJBaAQAL6enpuXnzZkhQlKGOs5aqk5lemKMpZxkBzM6EbXwyUP2QjZWZT0J8 YkVFBR1/p9bV1RURHqupYi+ZOwkYafi5GR6sjZLFnlpR5Xp/zWUGoB7A/U0A YkPH1Pq8n/xX+1l1Y/aN/8tbhRuVomdt9Lo196g5tci7sRZRWFhIpVYTExNR zwgsG6RWAMCbpqamampq4uMTzU08T6o4mOtHrjyGOZwnjLUCNVVtPVxCMtIz 6BiB8vLyTA3dTU+FSiC16hxxuXpxVwdnL/bIiqo8dAcn1LK+vh73dwCIDU1T 66/sZtV/MYRJdaawu7O2NPQI95lz1JxaJLUWFxdzOJzc3Ny5HyDJ5ORkKrV6 enqKekZg2SC1AgDm4PP5hYWFwYERJ4/YntW67HiBK8YwZnuWpXuMYXKakRCf WFdXh/tcRdPa2hp2lampYi/ePpm31A/axtlsHb6OeVErVY+Zu4hAvYqKCtzf ASA2tEutw+PCePkL27n1B1fhotaFKETNc8icQs3O+5QBgUDwi1/8AuXSP/7x j2+2bGFhQaXWtLQ0Uc8ILJv2DLi/FgAAfsPDwzk5Oc62gSibrd7tSU20g7WO 2IaFMu/fv4/7jEWTl5dnbuKFwvyqRlYHU47GAfS3/8OeV6lqTZInvA8XFxfj 7n6wItqzrbxByT8b62c289Tm4PmDq0fh/PvPqUWejSUvL09FUzabPXN7U1PT z372M7T9N7/5zdDQkKhnBJYNwioAYBr68ZuenmFt5qNzxGUp77daSVkYRGmq 2gYHRtLrhoc9PT3x8YknVW1tziasXufYnUvUUTmf4bYZe16lqou3l/DYX1BQ gLv7gdjQK7UKJsmRcbJ9kPypzfx1NGHuUU97yN+5LLj/zELNosYF86XW1NTU 9957D6XTX/3qVzExMQKBYGJi4vr167///e+pNBsUFLTczgPLAakVAEAZGxvL ysqyNPU+dcxtee+6ErWszsRqqNiGXI6k16+e0Vfr7RGqddhp9dYJoEisd8Q4 2xPn8wVmVm+qIuG298aNG7j7HoiNGFOrSLWS1NoxRP7SjvyJ9fx1enbDeyIW 3HNmfeAgbHah1IpcuHBh+ikDP35p+p+mpqZwYw0Jg9QKAEDQz968vDwHK3+d o64SWLQ5M7hqqgqXCjx+/Bh3HyyVQCDIzc21OOdlqOG7St1ie5ald/hslscW 7HmVqp4UBcJd4ebNm7j7HoiNuFLrMoj6WajUOjZBvhghN/qSP7ZasCwyyZ4R YenxFtttZqEGUbOo8YVSK5KYmPjnP/95Oqy+995769ati4+PX2n3AdFBagUA kC+vH/p5h51UdXQ4T0gsslJlYRClc8yOlZD04sUL3N2wVAMDAxwOT/+kk4nO qty+1f5cktah8+kMaVkh0MndS3gegKeuryU0mv1RmJycIvkCsm+UNEwhf3hJ nHU6Wdgsahx9isXvfNXa2opeuBUUFND6gSl0R6NxCwBYJW1tbTFR8ZqqtjbG 8RKOrFSd1bp8zoCRmZlJo4fdoyksIT5RV83+gt41sXeI4wXuie8sOI7/wJ5X qWpmyxE+aqWlpbh7HYgNvWZ/lCfHBeQQn6xoE96r6geW4inUFGoQNYsaF+lm rQAXeo1bAIDYCQQCFBeNT7mY6l7FElmp0jnq6u1+taqqCnd/iKCxsTEmOl5H zf687hWxd4imin201bb+NEXskRVVbZQsEWRUXV2Nu8uB2NBr9qcWCYy+XCQQ UEL+4BL5vuVKCzWCmkINji66PABIFXqNWwCA2NXU1Ph4huocccEYWVHZGMef PGLLYiUNDAzg7hIRPH36ND6OfVrT8czJAPE+M+vUMbcgU/kWthz2yIrqTsh2 Tpg9Sum4+xuIDe1m/8l/Xm5tGxA+7urnNuT3LZZf6HDvImFT1IXWSYisNEG7 cQsAECM+n5+cnKx9zM76TBze1IrqjKa/naVfWVkZ7l4RTUtLSyKbOG/opnPU 1e5corh6Q/h8h9NHH4TJYI+sqK67b+EmhPX39+PubCA2tJv9qcutfAE5MCZM m8VNpDqb/LMb+UNL8j3zpda/WJHrPMiTSWRps7CRQb6wQbjQSiO0G7cAADF6 +PChF+OK3nEP7JHV+eVbkDRUbFgJSYODg7g7RjQ9PT2ZmZkMpyANFVtxPe/V 0ijmjJpBjhf+m1/1pykSLjIZGRm4uxmIEx1n/+ngOsQnu4fJln7yUTdZ2U7e byXLWsjbza+qdEZNb7z7XLgb2hkdgg5Ehw9BZKUhOo5bAIBYTE1Npaen6x5f xWdgiVpGGn7OdoGVlZW4+0Zk4+Pjt2/fjoqIM9Zz1TnigjLnCrvC8QJX/aA1 0/qbvlTMS1sfRskSgXr37t3D3cdAnGg6+1PBdVwgXIw6yBeuSu0cEj4moHVA +GDWlgUKfQjtgHZDO/eMCA9Eh49DZKUhmo5bAMDKtbe3h4ZEax92xh5Wp8va OF5XzT4jI2OKnnNJa2trVlaWn3fYaQ1HlF3N9SNXsthV+4iLrbZ8VfhOvKk1 23MrN/ZyZ2cn7t4F4kTr2R+lTSq7jk0IC0XQ4XFhDfHnKepDqEYnXu1P5VUB PB+Ahmg9bgEAK1FWVmZl5rMa739fSWkddkJZuqOjA3f3LJNAIHj8+HFGekag b5iJHkP9oK2Rpr+FYfQSHzeGUq7Vmdiz2kEnVRw0j1oYnNRMdd08lrUPV2R9 nihHuCtmZmbi7lcgZmtg9p+cehU+RS147xV9rYFxCwBYnoyMDK2jtnYmbOxJ dWahwOZoHUCvW2C9CWXXhoaGvLy8WCaL4Rj0Mr5a6xxxMVT3PacTclE/AuVY lE5RWRpGm+tHmupeReH21DG3EwesDbSc7K38I8KYWVlZMTExST4n6qJlcaXW m75fcyJd6uvrcfcoEDOY/QEdwbgF4N3U398fHRmvqWKPPabOqUtGTCMdlzXz 8NCBgYHa2tqCggIOhxsaEu3tftX+kt/Fs57nDBhndF3QmZroM8yMPWzMfT1c QkICI1kJiTdu3KisrOzq6kKHd3R0cBNCU123DF9XlnxkbWLtIdwVMzLSUQjH 3ZFAzGD2B3QE4xaAd1NjY6O3R6iBug/2mDqnnC7wThyw4hCcNZaU0Ol0d3ej bq+qqiorKyspKSksLERptri4+M6dOxUVFfX19Sijjo2NzTkQ7UkEGd4J2S7h yDqapZzhtpkbG/js2TMsPQZWFcz+gI5g3ALwbkLZyf6S/zmdEOwx9c3SUnWK jIiDu4NShoeHU3hJBGNPE2uPJFNrSdC3xGV9FK1xdwBYFTD7AzqCcQvAu6m0 tNTUyN3cIBJ7Rn2zTh/3DPQNa21txd1J0qKxsZEbF5LiurVXUnfBehSzi/BQ SktNRpkZ99mDVQGzP6AjGLcAvJsKCgoMdZyl4ZFYb5aRpr+na0hDQwPuTpIi d+/e5UQ4ZbhtHsxQWu3I2sTaw3GV4bIi4YXDGgazP1gN1dXVMTExgYGBBEHU 1ta+df/Ozk4ej3f16tXg4GAOh9PU1LT4/jBuAXg33bhxQ0/DweZsAvaM+mYZ awUyHIIeP36Mu5OkyOTk5K1btzihllkeWwbSVzG4osjKddnGjb8C/b+2wewP xC4lJUV7ttTU1EX2z8vLO3Xq1Mz9dXR0Fj8Exi0A76asrCwdNTu7c4nYM+qb ZaId7GQbuJTX6e+UiYmJ/Px8zjXrdMaWbp7CKi0MEF5ljb9SU1OD+3TB6oLZ H4hXS0sLiqAodl6/fr2pqSk5OZkKogs96/D58+dUZPXw8CgtLb13756/vz91 SF1d3UKfBcYtAO+m3NxcPXUH27Ms7Bn1zTqrddnVPujRo0e4O0nqCASCoqIi ThSD57LtMXOXGPPqaJZyadC3hIcSlxUJV1nfBTD7A/Fyc3NDgyo2NnZ6S3x8 PNri6+s77/48Hg999OzZs9O3i5mcnDQ3N0cb4+LiFvosMG4BeDfl5+cbajlJ 57rWM5r+Hi4hT58+xd1J0mhqaqqyspLLCic89uX7fSOW92c1sfZkuG0mLp9O S02GtazvCJj9gRjx+XwdHR00qBobG6c3NjU1Ub/0HxkZefMQlGlNTU3RnzM3 slgsdIi/v/9CnwjGLQDvpuLi4nMGDAuDKOwZ9c3SP+Hl5x3W0tKCu5OkF8qW GRlpnGtWXJdtd6/s6E9bZnZtTZK/6fs14a7IZQYWFBTAHQPeHTD7AzFqaGig Aip6WT1zO7UGYOmXIFxcXND+SUlJC+0A4xaAd1NlZaWthd953SvYM+qbpX3Y Ofwas7e3F3cnSbXx8fEHDx7wiHgi5DzHZVthwLZnCXvGsvYtJawOpCs9jJLN 9txKuCtwIlwyMtLhUQLvGpj9gRhVV1ejEWViYjJnO9qyyNLWOW7evElF30VS LoxbAN5N6MeCJ+OKkYYf9oz6Zp04YJ2YSExMTODuJBoYHh6+f/9+MpfgRDgT Pke5zltv+HxdcU3mCXNXGyHfzVPoS1XsTVXs4u1tYcvVRsmWhWzPdN9CuMgQ gXrc2MDMzMwnT56ssceQgaWA2R+IUUVFBRpRFy9enLPdysoKbb979+5bW0D7 UGsM5qwZmINe43ZycnJsbGxoaGhgYAD9rObz+XOuRQMAlqinpycijKml6oQ9 o84p6zNx+pqOOTk5uHuITsbHxxsbG2/dupXM43CZfpxQcyJQl/BSITyUCYY8 4baX8NyPMi0RZMgJs+UmhGZkZKA5oqOjA36EvrPoNfsDKVdVVYVGlLm5+Zzt KMei7SjTLn74zZs3qcjq6+u7+PUKKR+36Itvb29HvVFUVJSVlcUlErmJTC4r jBt/hcsKR3/ncTnZ2dklJSUPHz7s6upCsRb3lwwAPaC4kpqSqqlqbX8+CXtS nVnndEJsLfze+lMOzEsgEHR2dj558uT+/fvox2Z+fn5ubu6NGzcKCgpKS0vR z1IUbvv6+nB/mQA/KZ/9Ab20tLSgEWVkZDRnO9qy+J2skKSkJOqGVyEhIegF +OKfSHsBKz2BlUE/eJubm4uLi3mcJE6MNxFsTHgfJlxleU7/SGdszvLYku21 NdN9S5rrZq7TZoKxm/A5ygkx5TIDUpJ5d+7caWtrgwsIALwVijHmJp4X9K5h T6ozS/coIygw4vnz57i7B4C1YKFZHvtED9aSwcFBalDx+fzpjWNjY9RG9FJ6 3qNQVIuJiaH2YbPZS0lu0jZu0fnW1NSkpiRzoj0IP3Wu05Y832+qI3a2JsnP +ziY8Zx9famKLWy5B2Eyud5fc5y/IQJ0OEy/jIwMWKwFwOLQa8PL/hEoJWJP qtNlZ8LWOmKbnJwC/3kBWFXSNvsDuqPeeHX79u3pLaWlpWiLsbHxQodERkZS b7/Ky8tb4meRnnE7OTlZW1ubwuNwrlkTrrIorNbH7h7NUhbpLi5DGUp10bLZ XtQbY53T01PhUeYALAQlQ5QPUUqUnmcNnNW6bGvpV15ejrtvAFjjpGf2B2sD 9ThXe3t76gZ66E87Ozu0JTk5mdqht7e3rKxs+sc7tRQWKSwsFMy2yGpPKRm3 nZ2d2dnZnAgXjuvO4svfrvxhha1J8ij3Em7yHKZffn5+f38/7lMEQBpVVFS4 2F82VPfFnldROZpyNA7ZMqMTenp6cHcMAGuclMz+YM0YHBykVrGamZlduXIF /Yn+bmNjM/2LM+rSq46ODvVPW1vbhdaueHt7L/RZsI/bqampmpoaXmIM4a2a 47W1k7tXjM8obGHLXXffQvhrpfAS4aIrAG9CL4cT2UmaKjZ2JmzsqdVEJ9ji vFdRURHuXgFg7cM++4O1p7293d7efjp82tnZzXxYzJ07d9BGPT098uWv13V1 dWmXWicmJoTP1I724rpsfxglK8a8Ol1jWfvKQ3cQjN3cuOB79+7Bu7QAmKO8 vNzVIUjvuAfeyGp3LlFDRXihtbu7G3eXALD2QWoFq2RwcPDZs2foJ/lqJC6M 43ZsbOzmzZucUMsMt83ivcT6ZjWx9qS4buVEMYqLi+FdHgDMhP4npqSk6qk7 mBtEYkytp497uthdLisrw90fALwTILUCOsI1bvl8fk5ODhFsnO25dTBjnpsD iL1eJCukM7Zwwmxv3boFt3UFYKaGhobQKzEah2ztz+G5d+uFU6H6mk7Jycmj o6O4OwOAdwKkVkBHWMatQCDIz88nQs7len89kinaXQJWUv1pihlumzkRTjPv zAAAQEpKSlwdgnSPMpwu8CQcWa2N4zVVbaOj4meugAIArCpIrYCOsIxbFBo5 YTZZHluGr0suslLVm6qY6rqVE+1dXV0t+RMHQGrx+fzMzEwzYw/9E16SjKx2 JmwNFbtAv3B4GBYAkgSpFdCR5MdtfX09N/Yyio7zPjVAAtXJ3ct1+ZaXGN3e 3i7hcwdAmvX396ekpJzVczXS8JNQZD2XeFLV0Ytxpbi4GN4pCYAkQWoFdCTh cTswMJDMYROusi1sOSyRlaq6aFnCc396WurMR48BALq7uzkE1+Q0Q/+E12ov FbA5m6CpYu/hEpKfnw/vkQRAwiC1AjqS8Li9desWEXiqPHQHxshKVWHANk6o xf379yV5+gBIvxcvXqSkpJibeOocdV29m7he1I/QULH18w5DPxMmJiZwnzQA 7xxIrYCOJDlum5ubuXFB6YzNoj6ndTWqP02R5/INLymmt7dXYj0AAC309/dn ZWW5OQejYHnxdLh486qDKcdIw+/UCfuIMGZZWRnc0AMALCC1AjqS5LgV3urK 62BD/G7skZWqqvCdRKBuSUmJxHoAALoYHx+/fft2WCjT4KTTqWNuNmcTxBJZ zU6HaxyyszbzIQguPK4OAIwgtQI6kti4bWlp4TL9szy2YA+r0zWSqZzssoXL ju7r65NMJwBAL8+ePUtLS/dwCdE6Yqt/wsv6TNzywqrTBZ6ZXpiWqtMZXReU hAsLCwcGBnCfHADvNEitgI4kNm4LCgoIn6NP46TlQitVD8JkiCDD8vJyyXQC ALQzPj5eWVnJ5fDcXUJ01ey1Djud0wlZ4qVXxwtcS6MYIw0/9YO25/QZV4Ki s7Ozm5ubcZ8TAABSK6AlyYzboaEhbiIzxWULP3sf9qQ6swbSlTgu21NTkuEt zOBN/f39z58/f/ToUXV1dUVFBQpvDx8+bGxs7O7uftfeQDQ2NlZTU5ORkREa Em190Uf3uL3GIbvTxz2NtQLN9MIsDKIuGTGtzsRaGkab60ea6l410vTXPcY4 cdD6jK4LwyEojsnKy8tDeRVubwWAlIDUCuhIMuO2traWE2pRFrIde0x9s/J8 v+FEe8BDeQBlcnKytbX1zp076enp0RFxAT5hLvZB9pZ+KKrZWvg52QR6u19F yY0gOAUFBU+ePHmnnkCKMmd7e/u9e/cyMzOZTFagr7BzLM97mRq6C+/yquti os8wM/awMff1cAkJCYpKSuKgsIqiPqwHAEDaQGoFdCSZcStcHuB1sDVJHntG fbMeM3cRgbpoIpZAPwBpNjEx8ejRo/S09CtBUZbnvbWO2J5UcdA/4WWsFXhe 98qFU6GmuldNtIMN1X11jrioH7Q2Oc1ACTaRTZSVlfX39+P+8iVtcHDw+fPn dXV16P9OaWnprVu30H/z4uJiFPgfPHhQX1/f0dExPj6O+8sEAMwPUiugIwmM WxQGeJwkrtOWsSzpWh5AVW+qIsHYnZmZudr9AKRZc3NzenqGj2eonrqD9hEX FFMXv1WpoynH3CASZVpNFVv7S34J8YkVFRUQ0gAAdAGpFdCRBMZtR0cHJ8Yn z/cb7AF1oUpnbOayo4aHh1e7K4AUQlGztLQ0LJRpqOWke4xhaRQj0rvj7c8l nTkZoKlq6+EScj3jend3N+4TAgCAt4PUCuhIAuO2vr6eE3pJGp6HtVAJn5MV 7YXS9Wp3BZA2g4ODWVlZDKcgDRVbsxXcTt/2LEv3KOOcPoMVnwS3IQUASD9I rYCOJDBuKyoqiEC9x8xd2NPpQnU/VIYTaonS9Wp3BZAqfX19qalpFue9hI8u PZe48lvon9W6rHvcPjoqvq6uDvfJAQDAYiC1AjqSwLgtKSkhfI48T5TDnk4X qkcxu4ggg8rKytXuCiA9hoaG0tPSLxi5nz7u6XiBK5YHPwmf/aQXpnXENjoy 7unTp7hPEQAAFgSpFdCRBMZtYWEh4Xmgk7sXezpdqBridxMB2vCsgXeHQCDI zc29dMFbT83D6QJPXJH1VXA9Ha6jZh8fn9jZ2Yn7RAEAYH6QWgEdSWDc3rx5 k3BX6ElRwJ5OF6om1h7C70RZWdlqdwWQEvfu3fNyu6p92NnRlCPeyEqViXaw sZ5renrG2NgY7nMFAIB5QGoFdCSBcXvjxg3CTaE3VRF7Ol2omtlyhO/xO3fu rHZXAGnQ2dkZEx2voWJre5a1GpGVqlNq7q72QXfv3sV9ugAAMA9IrYCOtGdY pU8hfMSA5/4unnSvEPDXghUC74jc3NzzBm7nda+sXmRFZWfC1lSxZTJZL168 wH3GAAAgpD0b7i8HAJFJYNwWFxcT3oel88FYVAkfj3VZH96N9S5oaWm5GhJ9 UtVR7MtZ36yz2kGXTL3R+Md90gAAMBekVkBHEhi35eXlRKBufexu7Ol0oXoQ JsO5evHx48er3RUAu7y8vHP6DDO9sNWOrKgcTDnqh2zjmKyBgQHc5w0AALNA agV0JIFxi9IgJ9S84poM9nS6UBUFbuNEube1ta12VwC8UHqMZbLUD9pK4EIr VUaa/i72QdXV1bhPHQAAZoHUCuhIAuMWpUFOtEdhwDbs6XShuu6+hcsKGxwc XO2uAHjV1tYyHINQkpRMZEVldSb2tIZjdnY27lMHAIBZILUCOpLAuOXz+dyk +GTn/xvP2Yc9oL5ZA+lKhMuOjIyM1e4HgF1hYaGJPsPCIEpiqRWVcJFALGt4 eBj32QMAwGuQWgEdSWbcCm9+5aEknQ8aEN5AwE8Tbnu15k1NTfF4KENar9I9 Wheq08c9/X3CWlpacHcAAAC8BqkV0JFkxm1VVRURck46l7beCtjGiXBqbGyU QD8AjIaGhpjRCZoq9pKMrM4v7yTgbBtYW1uLuwMAAOA1SK2AjiQzbnt7e7ms 8HTGZuwZdU4NX1fmunyTzE3i8/kS6AeAUWdnZ0hQ1KljbhJOrWZ6YZbnve7d u4e7AwAA4DVIrYCOJDZuhYsEPL9rZsthT6ozqzZKlgjQvn37tmQ6AWDU2toa 6Bumf8JLwqnV3CDygpE7jDEAgFSB1AroSGLjtqGhgRPldsPna+xJdbr42fvS GZu58Vc7Ozsl0wkAo+bmZj+vawbqPhJOrZaG0ef0GfCsAQCAVIHUCuhIYuN2 cnIyIyODcFOQnodkCR+J5auWn58vmR4AeAmvtfqF47nWesYDrrUCAKQKpFZA R5Ict/X19Zxoj2zPrdJwC6zh68qprlu48aHt7e0S6wGAUVdX15XgaN1jDAmn 1pfrWr3Ly8txdwAAALwGqRXQkSTH7dTUlHB1q8+xh1Gy2FPrnZDtRJBRSUmJ xE4f4DUyMhLLZEn+HgLGWoEu9pfr6upwdwAAALwGqRXQkYTHbXd3N5cdxXXZ 1sXDee/WJtYegrE7hZcE935/p6SkpGioWDucJySZWvXUPAL9wp8/f4777AEA 4DVIrYCOJD9uq6qqOFFu1923jGYpY4ms/WmKKa5buXEhDQ0NEj53gFdRUdF5 Q3dz/UhJptYTB21Y8Ymjo6O4zx4AAF6D1AroSPLjdmpqqqCggAg6k+f7DT9b 0gtch68rZ3ls4YTZlpWVSfjEAXaPHj3ycAkxVPeVWGS1NIox1HLKzc3FfeoA ADALpFZAR1jG7ejoaGZmJuF/sihwmyTfmTWapZzr/TURcj4/P18gEEj+xAFe Q0NDCXGJ6gcl91BXlJDdnUPgwVgAAGkDqRXQEa5xOzg4mJ6WSvgeLwzYNpYl ieA6lKGU7bWVCDLMycmBJ2G9swoLC82MPUx1r0ogsv7/7d2JVxPZvi/wv+ad PkP3Paf7nLvuuu/2ZLezLc4KiMwzyDzLkIEhzAISMAiIQCAEUgkBQUAQEFRA UQZRUVFmJ0AGEQV8u617eDQzMaRSyfez9mLBTlKp2vWjfr9UauB7yywNOdIC HD4NAFoHVSuwEYNx+/bt2/Lyy5TQofrsT+NlB7e0ZH2jNLgS84P8gn9NTQ2O MNRnw8PDFzPEVob8MF/FVletbtbJ3DNJzc3NTC80AMBSqFqBjZiN26mpqatX r8rTA0sjf9y6m712i3cXC7bJL0Vev379w4cPDC4vaIPa2toAzzgPm5QtLVk5 HgXWxlypREY+nTG9xAAAS6FqBTZiPG5JGdnU1KTIT6Wi9txM/WWiXJ07XUdL D9Ql/UzFHlFIs9rb2+fm5phdWNAGIyMjEkmRtRE3xC1/i0rWcN9iu5OC+Ki0 trY2phcXAGAFjGd/ABVoSdz29PSUKhWUyFsp+LH94o6pK196UazxsoO307Yr BL/IMznl5WWDg4NMLyJoEfIRRph00dowdIuu3epmdc7XLbaqqurjx49MLSP5 PNjf33///v3W1layvE+ePJmYmGBqZgBA22hJ9gfYFO2J2+np6ZaWFkVhNpXi pIz8kdScLxWq3IlgoGjfrdRfFIJtlMirmJKQfM1g5QDaaX5+vq6uLiwk2c4k Uu3XE/C2T7M34yYmniNVa21tbXV1dUVFRWVlZU1NzfXr1+/cufPo0aPh4eGt O1hlZmaGhD0lV8QmZ3nzhI4BCe4hSbzYtJw8aUNDw+jo6Ba9LwCwiPZkf4CN 07a4JSm1qampWJYnv+BPRf9+CtWdC9ufF+xd+3StsdIDPZI9zaJfL0d+T8Ud lWdylIrCu3fvTk5OMr1AoKXev39PqsoQvwRSuKpxj6un3XnzE2dMrdwcvMKt vGNPOAoO2Yb9ZsEzsOIfsQ83Ph1JasgzEakJqdlFMjmpnEkF++7dOzUu19jY GCmSOdGiPea8PTaxB13SjnhkHXbL+M0hafspnqP/2fwC2ZMnT9T4jgDARtqW /QE2QjvjdmJioqurq7KyUlGQLk8PohJNqcidxeH/tyr+x7qknxuF226l/kJ+ kt+r4n5UhP8PFbWHSrKSZ3IV0qyampru7m5cKADWNTU1RWKMH3zO2iiM4y75 wno1zFfhYpF4/KDPP381+8U4hJSLx7yyDf0LjM4UnQySnwykjAIKT/jlkxrS wDllt3XMdhPuSZcofuyFAqnsxo0br1+//vIlIh/TSkpKrb3jdltFk7cz5ZYu biYhxQecU/dbhWZcyn/69OmXvx0AsJd2Zn+AtWl53I6Ojj5+/PjmzZsVFRUK qlCRL5KLE+XZMfIsgTwnVi5OImVtsYKqqqpqbm7u6enBkXt6YmZm5sWLF6T0 amtrI+Fx/fr1a9euXb16lXxmqa+vJ0Vga2sr+fAyNDS09rVSyaeb2trapPgM KyOul50o3LdYtZI1yFVsYxR+4KD3T8cCjnplLykXV2ynQpTHvHP32SfuOMV1 DEjIzJGQpfjCr+/JIDgHJOyzO3uKU7La+x71vGRgHSqRysbGxr7kvQCA1bQ8 +wOsiEVxOzs7+/bt29evXw8PDw8MDJCf5Pfx8XFcGUB/kDXe0dFBajNZESVK zY6NFHEDEr1dot3tBc5W4Q7mfCerMFc7gZdzVJDv2ajw1JSkrPw8KflQQ4pY EjMrhgrpvHfvnji3wNslhlSefk4XN1WvctwlzubxxkfO7D0RtNM8wihAupGS 9Q+7QIOLD7qkbT/Fd/Q/m1cgI3W4akdi9/b2nhPl7DQPNwkpXvsdDZxTnM8k NDY2fvEKAQC2YlH2B1iAuAXt9+7dO/qIkazMvLCQZFKXmh8LsT8V5Wp1zsf+ wpnT2cFueaR65HpKOR4F5PdAlxxfh3R3a6GjWazFCa6jRWhIQIJIeKm09PLd u3dHRkaWv8WrV6+qq6vTUrM9HCOtDPnktWQ6a+x65XkW+jik25lEknrV4HjQ r8YhB06LToUoN1uyLvn6frc5jx974erVqyrsCL1+/bqZe8xRz0sbqZO3n+Lm SYrUe0gtALAIsj+wEeIWtNnk5GRra6tMJo8OP+9sFWZtGOphkxLkKt7UV/mk oPW2T7M7KbAx4fKDksS5BY2NjaRMXfJe8/Pzvb29NTU1OZfywzlCF5twUhuT V522SHCzTvawTSWlrKtlkoNpDClrjQ/7Hzjoved44K8nOQZOKSeD5CrXq4ub UUDhLstIG5/4Qpm8r69v4wP18eNH8pLtJtx1d7TSbZ9dQnh8+rNnz9S6ugCA NZD9gY1sF2F6XgD+vw8fPrS1tUmlsnCu0NqIS0pHUqx+4QlTXA+pu43Q4jgn 0DuelKakdl3xQOiRkZH29nZSvhZKizLSchPi0qMjzgv4KQK+0MeDb2rm8Z+/ mv1w1Hev7dmjnlkbrBI33k5xSvY7Jh+yDc8RSx8/frzB4RofH0/Pyt9pIdjg uxxyveDNE96/f1+tKw0AtJrtHzE9OwCbhrgFLdTX11dWVh4XKSL1qqtlEs+z UF1XpiIt1EfuaXfe8gSXeyZJJpN3dXWtdmj0zMzMmzdvent7nzx5Qgq8vLw8 V7/wn477H/POVW+lurwddsvYb8nPuJTf3d29kREjlXZquni3VfTGp+8WnESK c7WuNwBgDWR/YCPELWiV2dnZO3fuXLqY72ITbn8qiuNRoMZ69Q+1qzdF6mFb E54w6WJdXd3alxqYn5+/ceMGP/bCTvNwdR0MsG476nnpN0t+tlhKyuZ1x43M /yWxdIdZ2AYnfsA5NSA89dGjR+pbdQDAJsj+wEaIW9AeExMT1dXVZ2MuWBpy /Rwzt6heXdyC3fKsDUO5AYklJSVDQ0OrzVhbW1tsctYO01DjQJlmStb/3SPq nnnINkxaSK14BtlipK4uKysjVa7xmaKNTHmXZdQ5Uc6LFy/UvQ4BgB2Q/YGN ELegJUZHR0tLLwf6nLUxDud6SDVQsi4cMOBsHu9iG1EgKVrx7KTBwcGs3ILd ZjxD/01f1erLm4FziqVnbEVFxbp3gG1tbfXiJu93TF53moZ+EgMrvrKkBFeN A9BbyP7ARohb0AYvX75UKJTeLtGOZrFhvgqNlawLzdPuvIM5X5xTsORL85mZ mZKS0uOOgsPumZovWU0/n5y12yo6JEp0586dtcdwYmKiQCrba84/4Zu/xgRN Qop3WggECZkPHz7cylUKAFoN2R/YCHELjBsZGZHLi93sBS4WiZqvVxear2OG zUluzh/vdtra2hooOL/XJo6RkpVuxoGyXaa8HLF03bu+3r9/P0mUs+PUqoWr SbBit3XM6cDEmpqa2dnZLV6xAKC9kP2BjRC3wKyJiYnS0step6NcLJksWenm 53TRzpQvyS8cGBj49PmghZw86U4znoYPZ13eDrqkWXnHXrt2bd3xbG5uJoXr Xgv+fsdko4DCxfXqYbeM7aah3jxh+ZUra599BgA6D9kf2AhxCwz6+PHj1atX z3jHO5nFMV6y0s3bPs3JKoyiFGNjY7du3XIJTDzgnMpsyWr6+TiBHWZh5zPF a5wytqCrq6uwSO7LFx6wCd1+ir/TQkBeu9OUa+cbn3Yxr6Gh4f379xpYuQCg zZD9gY0Qt8CglpaWuEiR7UkBI8eyrtZcrc75e8QplcpssWSHKc8kWMF41Wr6 +XoCVl6xdXV1GxnYycnJe/fuVVRU5EmK0rPys8XS4mIlKcI3UvQCgD5A9gc2 QtwCU54/f56VmWdlyOV6au6KARtppIQmhbS3B8fOM9zASch4vfq/u1tDlNtP 8S+JpW/fvt34IM/MzIyPj797925+fn7rViUAsA6yP7AR4hYYQZ+b72QV5u+c xXiZurxxPAp2/nRql0kgI1e7Wq2REto/PLWjo4PptQcArIfsD2yEuAVGtLa2 RoWnOprGMl6grtjOuOT89pvrTgsB45Xq4mboX3DINryyspLptQcArIfsD2yE uAXNGxsby8+TWhlyeZ6FjBeoKzZ3a6HB8UBtOA9rSdt+ip8jlk5OTjK9DgGA 3ZD9gY0Qt6B5zc3N3DNJpDJkvDpdrdmdFOw6EXTcR8x4mbqk7bNLiDibseI9 vAAANg7ZH9gIcQsaNjExIZXILA05fG8Z49Xpas3sWMgvRkEmIcWMl6lL2mG3 DNegpLa2NqZXIwCwG7I/sBHiFjSMVFzhXKGr1TnGS9PVGs+z0Pho4HbTUMZr 1OXt992/btGNjY1Mr0YAYDdkf2AjxC1o0tzcXNnlMrtTPI5HAePV6Wot0CXn +LHA3dYxjNeoy5txoMzAio8TsgDgCyH7AxshbkGTBgcH087n2J4UMF6artH8 nbOOHgvcZ3eW8Rp1eTMJKd5xinP58mWm1yQAsBuyP7AR4hY06c6dOyF+Cd72 aYyXpms0X8eMI8cCf3NIYrxGXbFtMw6RKxRMr0kAYDdkf2AjxC1oUkVFhYM5 X5sPDyDNxyH98LHA/Y7JjBeoK7ZfTnKKKGpubo7plQkALIbsD2yke3E7MzMz PDz85MmTrq6uzs7Ohw8f9vb2jo2NMT1f8GlycjJPLLU8wWO8Ll27+Tlm/r6v 1T6R8QJ15arVOFipVDK9MgGA3XQv+4M+0Jm4nZ2d7enpqaurK5ZL5Tnx8vRA 6rw7leoqF3nLs8IUkvTLly/fvXt3dHSU6TnVX319fUnxGc7m8YzXpWu3AOdL R48F7rXVyuNag4t3m3LLysqYXpkAwG46k/1Br+hG3JJ6tazssvySgDprpIz4 vv7cz3fTd3Rl73qYs6sza2fT+V8rYn6gBDuoVDdFYfatW7dwayFGdHV1hXOF HrapjNela7dgt7wTRwN3WUYyXqMub0YB0iP24dXV1UyvTABgN93I/qBv2B63 09PT169fl4uTqOjfahN/7pXunak6/LH6yPI2VnqgLXNHSeQPVKpLSbEMdxfS vObmZn+POH+ni4zXpWu3UG/K5EjgryZcxmvU5e2oV7aNd1xTUxPTKxMA2I3t 2R/0E6vjdnx8/MqVcuq8e1nU9/2F+1YsVpe0qSuHmkW/UlF7FZILHR0dTC+B fqmtrT1tEx7ils94XbpuszjB/dUoyDhQxniZuqQdOC3y5Qvv37/P9MoEAHZj dfYHvcXeuJ2amiovv0wlWdYk/DRZfnAjJetCeyzerRBsU+QJOzs7mV4OPVJV VWVvyud5FjJelK7bHM1i954IOuKRxXiZuqTtto5JSM0eGhpiemUCALuxN/uD PmNp3M7OztbU1FBCh/pzP692SMDabaBon5wUrgUZfX19TC+NvigvL7cy5oR6 U4wXpes2b/u0w9p3GYFTIcrtJtwimfzDhw9Mr0wAYDeWZn/Qc7aLMD0vm9De 3i6/GFoR88O7ikMqlKx0e5S7m4reX6pUTE9PM71AeqG0tNT8WHCYr4LxonTd xvEoMD76+6GtpzgljBerC+2oV7aZe0x9fT3TaxIAWMn2j5ieHYBNY2Pcjo+P F8vyFYJfRkoMVC5Z6XYz9RdK5HX79m2ml0kvXL582fJESJiPnPGidCPN1jhi 94mgY17ZjBerC22vTZwgIbOnp4fpNQkArMfG7A/Axri9c+cOlerWmr79C0tW 0ibKDxYLfiqWSXAtLA2oqKiwNeHyvWSMV6Qbad72aUeOBe6xjmW8WKWbcaBs tzmPohQzMzNMr0kAYD02Zn8A1sXthw8flApKHvHzxCbPwFqt3U7bLr/gj5Oy NaC6utrRIpTrIWW8It1IC/WRmx/nbDcMMvSTMF6ykrbfMdmXL2xtbWV6NQKA LmBd9gf4xMK47evrk1+Kup68TS0lK2kvFfupmANXr15lesl0X2Njo6dTVKBL DuMV6Qabu43w0LHAPTbM7241DpTtNONJpDJ8KQAAasG67A/wiYVxe/fuXUro +Ch3t7qqVtJKBP+jKMrDOVlb7d69e5yARB/7C4yXoxtsfG+Z+XHuDkPmj27d axMXKDiPHa0AoC6sy/4An1gYt/X19VTc0Rfy/WqsWuuSfpbnJrx8+ZLphdNx T548iRWIXK3OMV6Obrz5OKSfOBa43TTUJLiYqZL1qFf2EfvwkpJSHNEKAOrC uuwP8ImFcVtZWUkJdqrroFa6tYh+lV/k9/b2Mr1wOu7Vq1fpohy7kwLGa9FN NTLDuw567bU9y9SxATtMeaJMMe5BDABqxLrsD/CJhXFbVlZGhf88Xan6ZVqX t9b07fL0oKdPnzK9cDpudnZWoSi2OBESypKLX9GN51m4e5vl3lNnDrle0HDJ ahJSvMsykhMtam5uZnrtAYBOYV32B/jEwri9cuUKJdg+dUWdVevvlxHI5D5/ /pzphdN9DQ0NXqejAk5fYrwW3XgL9aaMDnj6+AUZWIdq8h6vpzgle2xiTwcm Xr169ePHj0yvOgDQKazL/gCfWBi3165do2IOvC7+0vsLLG4NydvkObG4t7sG PHr0KDZSdNoigfFadOPN1zHD3z1WJpNl5kj2WvCPemqicD0Votxre9baO66s rHxqaorp9QYAuoZ12R/gEwvjtqWlhUqy6pHsUWPVWh79vUKaNTExwfTC6b53 795JC2QWJzhsuUMWafYmUSnnsvr6+h4+fJiZLTGwDt3qQwVMghW7raLt/c6W ll5++/Yt0ysNAHQQ67I/wCcWxu3Tp0/lmdym87+qq2QdKz1ACXZeuXKF6SXT Fw0NDb6uMX6OmYyXoxtpXE+pzUmuUlkyOzv76XP45eYXHnOM2GeXYBKyJVcV MPST7DAL8+ImV1RU4JOUhk1PTw8MDJCPJ+2fPXjwoL+/n3zUYnq+ANSPddkf 4BML43ZqakpRJFYKvn9feVgtVWtn1k4q9TSuhKkxfX19opRsG+NwxivSjTRX y6Rwzh/uSDU4OKhQKl0CE3eYhR/3Eav3qIADp0V7zHlxwqz6+npcQFhj5ufn SViSMZfni4ti+dIzzhIPc4m7WUGAY1E0Vy7OuXbt2rNnz+bm5pieUwC1YV32 B/jEzrhtaGigkizUcqOBmarDlyO/VxSkv379munF0hekQqiqqnKxjQhw1vZz svheMktDjrRAtmSf5+TkZG1tbULqpYM2ofvszhqdKfrykvWoVzYpg2194sWS os7OTjJKTK0gfTMyMlJTU1OUHJtn9Vvezq+u7P/LjSNf3z72H6TdOPJNpcFf JTv/JDbdVRQfTuIWV3UGncHG7A/Axrh98eKFQnLhcuQP7yq+9EoCv+9oTbKs r69nepn0S09PT8q5LFvjCMbr0nV2tFqd4wcmtbS0LF8EUlU+fvxYoVSeiUjd a84jtesJ33xVDmENKT7icXGneYSxc2TS+exr166RIkrza0Rv9fb2FhcW5Nse Ktz1p7vH/+OFxb9eWf7nkvbS4l/thn+n9nyVZ75HnpdD1jvTcw2gBmzM/gAs jdsbN25QqS6Nwm1fUrK+kO9XCLYVy3LfvHnD9ALpl7m5uaqqKk+nKG2+u2uI u8TmJLeokFrj4NLp6em2tja5vJgTLTrmELHDLMzAOeW4j3jdQ15PBlJHPLL2 2SVsN+Fae8cliXLIgDx79gy7WDWpu7ubupiWe+S/rx/6esV6dUnteuvoN+KD /5SJznV0dDA97wBfiqXZH/QcS+N2amrqcqmSij3clrlDtZJ1vOzg5cjv5dnR SECMGB4ezrkksTzB5XvJGC9QV2x2JwUJsemdnZ3rLsv79+8fPHhAys4LWfn+ YSkmLlHbTTg7zSP22p41cBIeOH3+kOuFgy6iA86p+x3O7baO2W4auteCZ+cb HxafXlAoa2xs7O/vR72qYUNDQ3LxpVyDb++d+Pva9eridt/oH3n7vqYyz+NW ZcB2LM3+oOfYG7ek7CmW5VNR++5lbLpwfaM0uBLzgzw9qKGhAdUCU5qamiJ4 QgfTGMYL1OXN0/a8p1NURUUFfemADXr9+vX9+/fr6+spuTzjUn5schYnWhQQ nurNE/ryhYGC8/y49CRRTm6+tKysjCz+06dPcX46I8iwlyrkYqOfmo9+s/GS lW7thn/PPfxfxVIJLkoGrMbe7A/6jNVx29fX93vhGnf0evK2yfKDGyxZeyR7 lIIf5Rf5pLrALYcY9P79+7Kycg/HSFIiMl6mLm6Brrk2J7kFkqJXr16ptmhz c3Pj4+ODg4OkLn306BEpZbu6urq7u589e/by5UtUqoy7fft2gb9DpcFfN1uy 0q3u0N/yXUwaGxuZXg4A1bE6+4PW6uzszM3NFQqFFEU9ePBg3edPTk6WlpaK RKLMzMza2tp1r/fI9rh98eJF2eVSSuRZEvljZ9bOte/0OkT9Vpv4MxV7UJEv amlp2dRuNNgKpISTSIpIiXjmdDbjxSrdeJ6FloY8UWr2Rv7dgI1+v3peQV7u nr89N/1Otap1wOyf+bu+oi5ljI6OMr00ACpie/YHLVRSUmL7R6QiXeP5pEb1 9PRc/PwzZ86svb9IB+J2enq6qalJIc2ihA6KiJ+uJ2/ryt41ULTvVfH+N0qD F/L9PZI9dy5svxLzA6lX5Vnh5eWX+/r6mJ5r+F8PHz68mC62MuIGu+UxXrLy vWXWRmHxUWk3btxgemBgq5CQk3I9qw/8TbWSlW4Nh78u8LVta2tjemkAVKQD 2R+0Sn9/v4ODg52d3ZUrV3p7e5VKJV2Itre3r/aStLQ08oSwsLDu7u6uri4O h0P+DA8PX+NddCZu37x5Q2pXpUImz46hUl2pBBMq9jAVc4CKP06ds5GnByoK 0quqqsjI4KgAbXPv3j1RSralITfELZ/ZkvX3i3HxhHV1ddgPr8Pq6+vzzHbd N/rHl1StT02+Ex/7b7JJYXppAFSkM9kftER0dDQJqry8vIUeiURCehITE1d8 /oMHD8ij9vb2C+cIkF9I3Us6e3p6VnsXHYvbmZmZgYGBjo6OmzdvktxUW1vb 0NBw586dx48f47s8bdbc3JyanGVlyA10yWHqwABro7BwrrC6uppEEdPjAVuo pKQkZ/dfh83XudTVui1vx/+RS/M/fPjA9AIBqELHsj8wi+RNOzs7ElSLr6/S 29tLekj/imdzyGQy8mhSUtLizuTkZNIplUpXeyPELWiD+fn51tbWjLRc65Nc X4d0DZeswW55loa8uKg08jEHJatue//+vVycI931py8sWUlT7P0zdUE4NjbG 9DIBqALZH9Sop6eHLlCXXJeJ3nf69OnT5S9JTEwkD5WUlCzuLC0tJZ0JCQmr vRHiFrTH/fv3c7Ilztbhp83PhvnINVOyetmJSKmcKsxqbGzE0SM6b3Jyksq6 QO356sur1tJ9f5YJ43GPEmApZH9Qo87OThJRnp6eS/rpk61WPLRVIBCQh65d u7a4k/y59qGtiFvQKv39/cXFyhC/BGvD0K2+sADHo8D+VJS7vUCSV0gKZly5 Vx+8e/eOyskqVMe+VuXeP8tESTj0CFgK2R/U6N69eySi/P39l/QHBweT/tu3 by9/SWhoKHloySUEm5qaSCeHw1ntjRC3oG0mJydra2tFKdmOFqFOZnFcT6na 69VQb8rdWmhtxI2LFJWVlb948YLphQYNIZ9NiuXynJ1fvVzvFq7rtoJdf5Ln 5UxPTzO9TACqQPYHNero6CARFRAQsKSf1LGkn9S0y18SERFBHlpyxR5SxJJO UtCu9ka2q1DLUgCohpQWT548USqVUaGp1sZcZ/N4jrtELfUq31vmbiO0OMEJ 8UuQSmRtbW04m0bf1NTUiI1+7j757ZeUrM9Nv8s98F15eTnTSwOwjtWyPBI9 qFF/fz+JKFdX1yX9pIf0P3z4cPlLUlJSyENLrsRSWVlJOmNjY1d7I8QtaK33 79+TD2gUpYgKP29jwrU7KfBxSA/1plQoVsN9iwOcLzmZxVkahnADEvPE0ps3 b+K7Xf3U0dFR4GffcPjrL6lam49+k+9ysqWlhemlAVARsj+o0cTEBP1RaPEZ zSSJ050vX75c/hKxWEweKiwsXNxJ/iSd6enpq70R4ha03PT0NCkzSkpKzwsv BXjFW5wIIeWru43wzOlsnmfh2rtVg1zFXnYiB9MY8+Mhnk5RCXHppAZubm7G ed/6jHxaoS5l5O/606D5P1UrWV9Y/Kto91ey1ITh4WGmlwZARcj+oF70iVdN TU0LPbdu3SI97u7uKz6fPvEqKChocWdgYCDprK6uXu1dELfACnNzcwMDAzdv 3lQoitNFORE8oZdzlJ0pz+xYiI1RuJ1JJClNnc3jHU1j7U2ibI0jzI9zrIw5 7vYCXmBSyrmsokKqrq7u6dOnuLAVEA0NDfnOJ64fUnF3a9PRb/Is9q6xXQXQ fsj+oF707Vz5fP7U1NSnz/fO5vF4pEepVNJPGB0dbWlpaW1tpf+cnp6mjx9Y OCGLbJnJnx4eHhMTE6u9C+IW2GV2dvbly5f3798ncV5RUVFURGVn5Wek5YqE l4RJF1OFWaSmzcrMkxYUlZWV1dfXt7W1kXIXxSosRjaeivycXINvuzZ/h6zH J7/N2/c1lXUBO1qB1ZD9Qb1IqUlXoX5+fmlpaeQnfTWAhXtN0rte7ezsFl4i l8vpnoTP6PsUkKet8S6IW2A18u8wPj4+MjJCStnBwcEXL168efPm7du3KFNh bY8ePZKlJuTv+csTk02clvXc9Dvp7q+KzkascWdtAFZA9ge1I5/l+Xz+wul+ PB6vv79/4dHm5mbS6ejouNAzPz9fUlLi5OREP588RFHU2m+BuAUA/dTS0lIU H56392/thn/fSMn6wPgfkt1/LhQENjY24uq+wHbI/rBFJiYmnj9//vr16w1u J+fm5gYHB0l9u5ELCSJuAUA/kS3q7xepSE/JPfJfV/b/pefUd2vsYq0y+Gvu ge9kKfHNzc0LX3gBsBeyP7AR4hYA9FlPT0+pQi4Ndskx+LZk359vHvmm0+gf j09++8Tk2/tG/2g6+k3Zb3/J3fdNgZ99cZH00aNHTM8vgHog+wMbIW4BQM9N T0+3t7eXKpVFSVEFPjZ5VvvFxttIy7P8TeJlVRQfXqKQt7a2Tk5OMj2nAGqD 7A9shLgFAPj0+cy+oaGhjo6Omzdv1tfX19XVkV9INTswMPDx40em5w5AzZD9 gY0QtwAAAPoG2R/YCHELAACgb5D9gY0QtwAAAPoG2R/YCHELAACgb5D9gY0Q twAAAPoG2R/YCHELAACgb5D9gY0QtwAAAPoG2R/YCHELAACgb5D9gY0QtwAA APoG2R/YCHELAACgb5D9gY0QtwAAAPoG2R/YCHELAACgb5D9gY0QtwAAAPoG 2R/YCHELAACgb5D9gY0QtwAAAPoG2R/YCHELAACgb5D9gY0QtwAAAPoG2R/Y CHELAACgb5D9gY0QtwAAAPoG2R/YyHYRpucFAAAAtortHzE9OwCbhrgFAADQ N8j+wEaIWwAAAH2D7A9shLgFAADQN8j+wEaIWwAAAH2D7A9shLgFAADQN8j+ wEaIWwAAAH2D7A9shLgFAADQN8j+wEaIWwAAAH2D7A9shLgFAADQN8j+wEaI WwAAAH2D7A9spA1xqw3zoM8w/szC+DML488sjD9TMPLARtoQt9owD/oM488s jD+zMP7MwvgzBSMPbLSRuN3q2Mb0MX1MH9PH9DF9TF+T00fVCmyEqhXTx/Qx fUwf08f09W36qFqBjVC1YvqYPqaP6WP6mL6+TR9VK7ARqlZMH9PH9DF9TB/T 17fpo2oFNkLViulj+pg+po/pY/r6Nn1UrcBGtgAAAKB/mC5AAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBLdXZ25ubmCoVC iqIePHiw7vMnJydLS0tFIlFmZmZtbe3ExIQGZlKHbXb85+bmbt68KRaLk5OT c3JyyCr4+PGjBuZTV212/Berr69PS0t79OjRFs2bPlBhezI0NFReXk5ekp6e XlFRMT09rYH51FUqjP/t27fp7U9eXt6dO3c0MJMAALSSkpIld+IgW7A1nk+2 aZ6enouff+bMmVevXmlshnXMZsd/amqKx+MteUlgYOCbN280Ns+6ZLPjv1hP T4+9vT15Caldt3QmdZgK25MbN244OTktfomPj8/IyIjG5lmXbHb8yUdmUqwu +ZchPaRfk7MNAPqpv7/fwcHBzs7uypUrvb29SqWS3gq1t7ev9pK0tDTyhLCw sO7u7q6uLg6HQ/4MDw/X5GzrDBXG/8KFC+QJbm5uRUVFDx8+JC/x8vIiPbGx sZqcc92gwvgvmJmZIR8W6OejalXZZrcnQ0NDZH2R56Snp5P4r6io8Pb2Jn+e O3dOk7OtMzY7/jU1NeQJZBXIZDIy/uQn+Q8iPVevXtXkbAOAfoqOjiYbnLy8 vIUeiURCehITE1d8/oMHD8ij9vb2b9++pXvIL/RWq6enRwMzrGM2O/4fPnxw dHQkT6isrFzobGxspGunycnJLZ9j3bLZ8V8sOzt7YV8TqlbVqLA9uXjxInk0 JiZmYefe7du3SQ/5vyD/HZqZbZ2hwvgnJSWRR4VC4ULP+fPnSc/Zs2c1MMMA oM9mZmbovRbPnj1b6Ozt7aU/Sr979275S8gna/Io2XAt7qS/MJJKpVs+x7pF hfEfGhoKDg52d3dfyDLE+/fv6drp+fPnmphvXaHC+C+4e/cueZqfn19UVBSq VpVtdntCVhldU718+XKhk5Svra2t3d3d8/PzWz7HukWF7Tn5QEceJZ8dFnoK CwtJD/lH2Np5BQC9Rz5N0wl6ydaezgtPnz5d/hJ6k1VSUrK4s7S0lHQmJCRs 7ezqHBXGf0UdHR30dEhO34LZ1Fkqjz/5yODh4UGe8+DBA3rXE6pW1Wx2ezI8 PEweCggI+PDhw71790i9RIqrlpYWHFSpGhW251evXiWPurq6Pn78+NPnfyL6 CKWNHw0OAKCazs5OsrXx9PRc0k8fnL/ioX0CgYA8dO3atcWd5E8c2qoCFcZ/ uampqeDg4OU7TGBdKo8/XakWFBQs/I6qVTWb3Z7Q32iHhobSh3YsiIqKGh8f 19Rc6w4VtufT09OZmZn0sJPalf6FrA6MPwBstXv37pENjr+//5J+ugq6ffv2 8peQfEEeamxsXNzZ1NREOjkczhbOqy5SYfyXIBmE/obaxcUF51BvlmrjT+d0 Eu30UZSoWr/EZrcnN27cWKhU09PTb926RVEUfaR3WlqapuZad6iwPR8bG6Nj fjGJRIKDigFgq9HfLAcEBCzpJ3mc9JOcvvwlERER5CGSOxZ30mcDkQ3gFs6r LlJh/Bcj6YNOOiRrd3Z2btls6iwVxn9oaMjZ2dnBwaG3t5fuQdX6JTa7PSHj TJdJhYWFC530d9YELv62WSpsz+Pj420/Xx2LbHMmJibIT/pKGnFxcRqZZQDQ X/39/fS3PEv66e99Hj58uPwlKSkp5KGqqqrFnZWVlba48tLmqTD+C4aHh/38 /OiXr/1MWI0K409/o8rj8Rr/jb5SUEZGBvkdu7s3a7Pbk/b2drpAXfx99Nu3 b+mz6jZ4UA0s2Oz4T01N2dvbk9Em/zsLnWRbRB8KvvgUUQAAtSOflOkUsPgs noUT0hefpbtALBYv2dHx6d/nkKanp2/5HOsWFcaf1tfXRx97SQrXgYEBjcys DlJh/Jdcj32JjRzUAYttdntCf9AgltwMi97dh/HfrM2Of2trK3nIy8trST99 35Ml+2wBANSOzsJNTU0LPbdu3SI97u7uKz6fPqgvKChocSedMqqrq7d2XnXR Zsf/0+fE7ebmRn+FNzY2ppHZ1FmbHX+FQpH3R76+vrafz0Yhv+MTxGZtdntC ilX6KNbFu1VJp7OzM+kcHR3d8jnWLZsd/+7ubvKQg4PD4g96c3NzPj4+pJ/U tFs+xwCg3+jbWfL5/KmpqU+L7haqVCrpJ5BE0NLSsrA5IgmC/v504QD+hoYG 8qeHh8dG7l4NS2x2/Ofn5+kvqUNCQsiAz/4RY4vBWuuO/6fPlxogq2B4eHjF KeC41i+xke3JkvGndw/6+/vTBwmQ/4jc3FzblY5PhnVtdvzJ80+fPk2ekJmZ uXC9OPpKWaSUxRECALDVyKaJ3mr5+fmlpaXRh0pyOJyFEoje9WRnZ7fwErlc TvckfEYfUUaextASsNtmx5++DdBq6CsowsatO/6f/r3rack1LRegav1C625P loz/mzdv6Ivlurm5paamhoWF2X4+IRFHd6tms+NfV1dHb21If0ZGBn0+F1Fe Xs7QEgCAfiEfovl8/kLlw+PxFh9p39zcTCeFhR7yEZtswZycnOjnk4coimJi xnXEpsZfqVSuUbU+efKEoYVgsbXH/9O/L4RVVla24svpGwk1NDRoZGZ10Lrb k+XjPzIyEhsbS9dX9Cq7e/euxmdcR6gw/mSjRB8SQPP09ET8A4CGTUxMPH/+ /PXr1xu8K+Lc3Nzg4CDJ70tOiwDVbHb8Qb0w/sxSYXsyMzPT29uLb6XVQoXx Hx0dJf8yuG4GAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAABoof8HFnL9yw== "], {{0, 361.}, {457., 0}}, { 0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 361.}, PlotRange->{{0, 457.}, {0, 361.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7639641844707036`*^9, 3.763964205911219*^9}, { 3.7639643734511724`*^9, 3.763964427045506*^9}, {3.7639648989720173`*^9, 3.7639649386788454`*^9}, 3.763967237456543*^9, 3.763969725898904*^9, 3.763970341645482*^9, 3.7639756603173933`*^9, 3.763977400945609*^9, 3.763983961923134*^9, 3.7645005274719925`*^9}, CellLabel->"Out[11]=", CellID->55198264] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->825506705], Cell["Link the visibility of datasets to a variable:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7639697810835314`*^9, 3.7639698197800736`*^9}}, CellID->328681284], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DynamicModule", "[", RowBox[{ RowBox[{"{", "plotActive", "}"}], ",", "\[IndentingNewLine]", RowBox[{"Column", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{ LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{ "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"BubbleChart", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"AssociationThread", "[", RowBox[{ RowBox[{"Range", "[", RowBox[{"Length", "[", "#", "]"}], "]"}], ",", "#"}], "]"}], "&"}], "@", RowBox[{"RandomReal", "[", RowBox[{"1", ",", RowBox[{"{", RowBox[{"5", ",", "7", ",", "3"}], "}"}]}], "]"}]}], "\[IndentingNewLine]", "]"}], ",", "\[IndentingNewLine]", RowBox[{"Dynamic", "[", "plotActive", "]"}]}], "\[IndentingNewLine]", "]"}], ",", "\[IndentingNewLine]", RowBox[{"Dynamic", "[", "plotActive", "]"}]}], "\[IndentingNewLine]", "}"}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.76396414657395*^9, 3.763964204790247*^9}, { 3.763964369306779*^9, 3.7639643722540526`*^9}, {3.763964842271695*^9, 3.763964947247714*^9}, {3.7639697447434855`*^9, 3.7639697990863605`*^9}, { 3.7645009618066196`*^9, 3.7645010411831555`*^9}}, CellLabel->"In[30]:=", CellID->42519551], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsnQlYE1m6sO3pnjt3ZvreO/+sPWv3tAu4a7c9d2Zud4/TCgiCO4IKCCKr CCIiq0AIsu/7KlsIgQBZ2AUUV0DZEQTFhUUEREBAEITO/0F1p0MSQnYSPO/z PT54cuqkKlXn1FtVp8756wmrA8Y/WrFihc1/wj8HDOz+ffasgcPBX8B/NC1t zEwsjU6qWp4zMjE6+/cT70Ni8HsrVlRD/tm/GQgEAoFAIBAIBAKBQCAQiO8x RiAQy4Wlbk4QCARiHpztEv8tlXhzynJpS/W9aCskXdpSfe9SbQUCgUBIE+QY svy9aCskXdpSfS9yDAQC8S4gnXZJlls/tG6iIMtr+K6tmyxvLwKBeDdBjoHW TRRkeQ3ftXWT5e1FIBDvJqhdQiCWB6guIxAIWQO1SwjE8gDVZQQCIWugdgmB WB6guoxAIGQN1C4hEMsDVJcRCISsgdolBGJ5gOoyAoGQNVC7hEAsD1BdRiAQ sgZqlxCI5QGqywgEQtZAkx0gEPIOqsIIBEI2Qe0SArE8QHUZgUDIGqhdQiCW B6guIxAIWQO1SwjE8gDVZQQCIWugdgmBWB6guoxAIGQN6bRLo6OjHR0d9+7d q6qqunHjxtWrV8vLy2/evHn37t379+8/e/bszZs3UlgNBGIZgxwDgUDIGhJt l0ZGRpqbm0tKStLJiWEJTp5hJxx9Nc55fnMG/09rjy9tvXY4B+z3iTCNTsRn ZaeDdbS3tyPZQCCEAzkGAoGQNSTULg0ODlZWVpLIyX6RFlb4v5u6rbIJVHSK Wu+etNGTsMk7fbNX+uaLhE1ulzY4RKw746tgfGGVrdfO0Dh7Ci2roaFhfHxc EmuFQCxjkGMgEAhZQ+zt0ps3b2pra0nkJFzQEROXNedD1oJUBFE/4x2BlK2g H2f9Fc1cN/hGmtPoOW1tbTMzM+JdNwRiGSPGuvwtYlkjruMEgVgU8TpGf39/ YVGBf9RpU9e1DhHr/LO2LmoXbOGTseVcoKIF7rPoJI9r1669fv1ajKuHQCxj xFKXmaehme+ZRiwLmDsUmQZCmojRMdrb2zOzUm29lM74KoAqCGoXrOGRuskc vxofopOXR3/x4oW41hCBWMaIWJdZ1QJOSVNTU5NzvPmeCYQcwtx92N6E3cr0 DWQaCCkgLsdoaWkhkKItcFsdo9aJYhfMCMjeetZfEYwlh5r5/PlzsawkArGM EaUuMwXj7du3cD56/fr18PDwwMBAf39/7/dANexByBW9LMCufPnyJexW2Lmw i2FHI81ASAGxzFfy8OHDlPRIM9f1bpc2ikUwmGEXttba40vQDGjuxLjVCMRy QsQqjJ1o4PIWrnNHR0fhTATVbWRkBP6LTkDLBti/oBawW2Hnwi6GHQ37FxKR ZiAkiuj3McCW0zMTT7ltwSWKWTCYmmHrpZSXR0d9MxAIHghXl7HbF9gJCC5y X7x4Aacesa8bQqaAXQw7GnY37HTs0QnSDISEENEx4LwPZ/+zF792jlkvCcHA 4qy/Ij5E7/r166giIBALIURdZt7BgHMNXNsODg5KYsUQsgnsbtjpmGaguxkI CSGiY1RUVHiGnQAHkJxgQPhnbzVzXx2T5PngwQNxbTifQL2Datje3t7Q0HD7 9m3wnCtXrly9evXGjRt37txpaWnp6upCo3kgZAHhHAOuYeGqdmhoCAnGOwjs dNj1cACgWxkIxtzxEB4eDue4RXOOjY3l5+fHxsYmJiZeu3ZtdHR0oZyiOEZP T09qepSJ62oh3lEVNDxSNlngPqfRc6RzQofq9vz587t37+bl5ccmEt18Yy2d Q/XO+GmZe+83vnjI1POohY+RbaAtPtI3LJGYkV1WVtba2go/uxTWDYHgiqB1 mdnJE9qH/v5+Ca0VQsaBXQ8HALML6FKvDmLJANX08PCAZiQpKYl3TjhgbGxs WDtzOjk5LfQGqCiOAZfz9j6qLnEbJC0YWNgEKvpFWjQ2Ngq9wvwAFe3x48cl JSWRcQQLpxDV4zhlA28N84gD1omHzxO1HTKPOGUfcczSts84dC51n2WcmnHw Dl13TXMvF59YkI2qqiq4LpDoGiIQXBHCMaanpycmJuAsMzU1JaG1Qsg4sOv7 +vrgMMCemCz16iCWBjAEf39/TBgWdYy4uDjIdvHixYcPH96/f9/NzQ3+6+np yTWz0I7R29ubTAwzw60KpEj8JgYW3qTN5q6baPQcyfVJe/78eWlpaUBE8mFz b1CL/Vbxxy5Q9XD5i4aWHUndLExJz93yQhghnVxTU4MmXkFIGYHqMvb8Ha5e R0ZG0E2Mdxw4AOAwgIMB9cp4NykrK7OwsGDelODtGK2trZDH1NT01atXWAr8 YWZmBolPnjzhzC+0Y9y5c8ctSMspWoJdPTnD2k8hLN7p0aNHwq0zD8DhQQwS UzN0rXxVTvho2hL4UQu2ACHZezpGWc/dySs6Ly8fDeshd4AZwl5rb28HOYeq 9PjxY9B7ODaWer34QlDHmJmZgWvYly9fMtsKxLsJHABwGMDBgB6XvJuYmJhA 6+Ht7Z2amrqoY+Tk5ECesLAw1sSIiAhIJJPJnPmFcww4Gqm0bFOXtX5kkcbz FDRwiRvtvJWvX78uxDrzYGxs7MqVK/iAeNCDA2cuCWEXrHHUOUfNKFDrlHcK kdzc3CzeVUVIAmhXOzo64LgiZxNjkjwDoq28w418IkyCY20vEQJpNAoYteyP NyuoY2APSsCpRL/nJsa7drGxseHh4ZWVleIqELEomFqjxyXvLGAXVVVVYJiF hYWLOkZoaCjkycvLY03Mz8+HxJCQEM78wjkGHJCxyd5W3mukKRgQATlbjS+s zqFkivFxyfDwcEFhoYVjiIqB9xGnbBEFgxngKrv03SPjCDU1NajayjJ9fX2l paVwPNv7qBpfWHXGV8EubK1j1DrHyHXnQ9ae9lwDLo0L0iaQYm/fvi3Lg7QI 5xjPnj0TbvLBtrY2JycnVVXV3/72t++9997q1au1tbWhkRGxbv7nf/7nihUr zp07J0ohCIGAAwAOA+QYiIKCgkUdA4QE8pSXl7Mmwn8X6pIhnGM0NTV5hhlC Iyxlx4Cw8lGITfbs6ekRYrU5GRkZycvLP2EToGYUqONKF5dgfN9JI11ZDx8U mQyaIZa1RYidBw8eZGSl2HmrmLmvdk3YABLLecj5kbfAoW7isvpiqEFefq7M 3tAQ1DHevn0LytTZ2SnEd+Xm5v7P//zPCm787W9/6+rqEqJMDGk6RmJior29 fWBgoBS+S8aBwwAOBqxLxlKvC2LJ4McxsHdP4IKLNfHOnTuQ6ObmxplfOMeA 8qFZxqcsPmm72MMhYp1vpDlcQwmx2myAtxcVF5vYBe02CdZ1yxOvYGCh7ZAJ mhERR0APTWSQhoaGpLSQU25bHKPWLdp1GUxjbgKdHeQcIlz0LfW6c0E4x3j6 9KmgX5ScnPzee+9hRrFjxw5HR8ewsLBTp0799a9/xRJ/85vfvHz5UtBiMaTp GDt37oTvWrVqlRS+S8aBwwA5BoIfx/Dy8oI8FRUVrImgBJAI+sGZ35gDftbk 8uXLp9y2iji5qnDhGr/BNUBTLHcGbt26ZYeP3HXSX9c1VxKCwbyboaqPTyGS xXXvBSEWHj16lEKMNHVd654kwBj4oLhn8P+k0rKHh4eXegtmEaLyYjAdg2tX cB5MT0//4Q9/gFPzT37yExKJxPrR2NiYjo4Ophnh4eECFcsEOcaSAIcBcgwE P44RFRUFeUpLS1kTS0pKIDEgIIAzv3D3MXJzc086rpK+YATNDcZl563CdqNG CB48eBAanbpTz4PPt1NF7Juhdco7Ly8fvdAqIwwODpJziBa4z4WYZOd8yFpH Xw3QbFl730QIxwArENQx2tvbMYvYu3cv56ejo6P/7//9P+yJCeenMzMzHR0d VVVVcNW80K/H2zFGRkYaGhrq6+sXdTz4ru7u7jt37vB4M1d0x4DtvXv37qIv /zJXpq2tjc9RBPkvedGflB/gMICDATnGOw4/jkEkEiFPVlYWayL8FxITEhI4 8wvhGHAk51DIxhdWLoljeKZttvH8l4ivloCxU6l0DUMPLbt0SQsGFmrGQY6e 0ahjhowAx49LwEH7sLVCHIGBlK0WF9eExTvev39/qbdjHkI4BpzIBH0THI5h zDFsbW25ZqisrKRQKOBgrInwXTgc7je/+Q2z28avfvUrJycnSGdbfCHHgBOu srIya8ePf//731xfP4EGyt3d/aOPPmLm/Mtf/nLs2DHW8/Wnn376/vvvMzO8 P8f69et5bzuUgOWMiYnJz8//4osvPvjgA6yEP/7xj2x3dZgb7urqyroyP/7x jzU1NdmmRRCuZD5/Un6AwwAb7RM5xrsMP46Bde+8cOECa6KzszMkch2EXDjH yF5Sxzh78WsRHaO6utrWPVLdNFQ6gqE390Krsp57KpGMZoVYcqA9nxsDf5V/ tpDDx82ObO/2WW4eXbj2XEJIxzGmpqZ++tOfwhkNTtP8jwBjamrKtYMo5zpz dQzQuV/84heci0NiS0sLWwlQJtfvAtOoq6vD8vzpT3/izLB69WreWwHbi+XU 1dX92c9+xllCXFwc2yKGhoZcV+bjjz9m7dUjRMn8/6T8gBwDwVjAMYaGhuCM yaw7ExMTVlZWrN0+b926Bf89e/Ys11lLhDsg6XT6SaelcQxo3s97K4nyrAR+ hwwynPFxUnhKwhp7T8ecdg6tqqoSes0RYgGuxPHBOo5RIr0VZeW9JjoRL9xL GRJCOo4BMO8nwIkyMjJy0fv5AQEBWP5//vOfaWlpra2t6enp8DeW6Ofnx5qZ 0zGgfPCZFXN3AFxdXSsqKiorK93c3LAr/b/+9a+sK+Du7o4Vu2nTpujoaJAT MpnM7CWybt06LBvsuIcPH/7973+HRPCNh3Ms+joM0wRWzN00iImJuT+Ho6Mj dlfkN7/5DevbzXCth2Xetm0bSAJseF5e3smTJ7HEzZs3M0c/E7RkgX5SfkCO gWAs4BhwzoJEExMTZgqVSsVSQubAhvBa6NQmnGMUFRWZuW6S8gBcWLhd2ujs v+/u3btCrDZGQ0ODHT5SwzxCmoIBoeNCU9LFEUlZPKaoQ0gBOHrNXTeL2GPZ JW6Da+Bh0Pul3pofkJpjwAX4mjVrmOdEONd/8cUXlpaWNBqNc96T3t7eH/3o R9hJf2RkhJk+PDwMZ3zMHFj7KXE6xqlTp7AvYmv6YmNjsXQXFxcspaenB0v5 wx/+AN/Lmvn48ePYR6y3cwXtj8E0gZ/+9KdsLaqRkRH2EfOQYK7MJ598MjAw wJrZzMwM+8jHx0eIkgX9SfkBOQaCMdc2QjOSkpLCmghnW0g0NzdnpsBBArYM FRPrag4fUSiUhcoUzjFu3Lhh67XDI3UJ3l11jFznHW7MeYOUT2ZmZvLzC9RP 4MU43Bb/oWEW7uwdI2vP8d8p4GIwPTPRFCdqj2Xv9M2WuL+xda5eWqTmGIw5 zdDS0sJ8gJVf//rXIBusQ4hAW4R9BI0GWyHgJNhHd+7cYSZyOsa2bdtWzL0k y7kaW7duhY/U1NTYCoQ/2HIODQ25urqCjbA+ZhXaMVRVVdk+Kisrwz5i9p2g 0+lYCrTbbJknJyexd3M0NTWFKFnQn5QfkGMgBAVOpiDS3d3dExMTPLIJ5xj1 9fX4EB3nGKlOVoKFtb9C5CU3oQf5gbocFpOqcsJX+oIBoWVPOmTqKVMnpncN OP0lpPhZ+SiIeBwGUrYaOa2i09nPZUuINB0DA07cMTEx6urqrD0PgfXr1zO7 ari5uWGJcKVTPJ+4uDjso6ioKGaZbI4Bp2Msz2effVbMwR//+Ef46He/+x2W 2dnZGcvM5+gcQjsG6ArbRw8ePMA+YnacAJ/BUrhOxLx79+4Vcw96hChZ0J+U H5BjICSEcI4Bp/jIRJy1n6gNtRBh4roqM4vA5/tfnDQ1NdngIvZZxi2JY0Ds 1MWnkbJkeUjq5Q005tGJeDBV0Q9F4wsrsylk2XmDVfqOwUpDQ8OFCxc+/PBD 7By3fft2LF1DQ2PFYrA+6mVzDOZrLLzBlGbXrl0r5l7E4HOdhXaMiIgIto86 OjrYTEBNTW3F3FMbrkXZ2dmx6pBAJQv6k/IDcgyEhBDOMSYmJrJy0o1dVgcI 2zNfuPBI3WTt8WVZWZnQ23v16tXD5t7a9hlL5Ri7TYK9QxJlqq/gO0VfX19s svcZXzE4xknnlVQqRXba5KV1DIzHjx//6le/gnPcf/zHf2B3ULHzPvAFN7B0 d3d3ZglsjlFZWck8b3Jd/C9/+Qv8gTmGuro6pHz00Ud8rq0UHGMh4RHFMQT9 SfkBOQZCQgg9t/utW7ccfTVc4zdI0zHOBSkGRlu3trYKt85QfWh0+s5jrhId 2JN37LeKP4eLQEOLLxWvXr0ikKJP4VeLeCj6kbeYu24uLi5e6g36Aek4BvyA PT09bD0qWXFycsLOgNhow9h/P/jgA94PbZmwOcb4+Dj2/oizs/OiyzIfIoBJ 8vNdEnUM5kslXJ+VYDrE+ayEn5IF/Un5ATkGQkII7RhwJR6b7GlxUXpTr0Kr buKiQM4hjo2NCbfOsGAyIVPpuOdSCQaEpi3B8FwAeoN1qZiZmaHRqSYXFIUe HAMLXOJGR9/doo83K0ak4xjYOxHvv//+QgOEmpiYYOfExsZG+C+FQmFVjkXh 7PO5efNmSFFRUVl02fz8fOy72AYhZMz19Q0NDQ0ODm5oaGAmYo7x8ccf87Ni DAFNgNn9UqA+n/yULOhPyg/IMRASQmjHgLYaLuKsPb4UaLoHUcI+bK1HiJ4o b60ODAxExqftMvRbQsfQdsjUOuUt4hhiCFEAMZi9BZcg0i24c4GKwbHnHj58 uNRb8wPScYybN29iJ7jjx49z9kWB0rBnJT/72c+wTkddXV1YftbhIDAKCwsV 52B98Y3TMZjDWLG9uwrrv3fvXlic+cpJX18fNlnb7373O7Z565ijUpSUlDAT sccZAJ9zCQlkArACWMonn3zC1geVx7ur/JQs6E/KD8gxEBJCaMdgzD17jU32 Nsev5jojtnjDm7TZzHU9OZsgylxU0AQFR6WoGQUuoWMcccreb+zJdcxVhHSA Rjs6EW9xUfjHJb6ZW0xcFLNy0mWq767U+mMwB8fYsmVLVlZWa2vr2NhYXV1d SEjIf//3f2MfWVlZMfM7ODhgiX//+9/BE+AbGxsb8Xj8z3/+c0iERVgrNadj PH369Pe//z32dMDZ2fnatWuQAifT//u//8OKZY6PAXh7e2OJGzdujI6OBgmE nMwRNuCkzLoh5ubmWPq+ffuKiooWNUaBTIDB8p7LF198kZCQ8ODBA1gZ5jCk mzZt4hyDi8+SBfpJ+QE5BkJCCDdpIwYcjVevXnX232cfLtKQifyEpdeaoBgb 1vucQgAVOSAiWc04eAkd46hzzl4jD/T66hICV99wQrH2+FLoWxnnAhU9wwxE uaUmXoSedxVOK3ClIOjXgVRs2LBhxcLAuZt1MC74LuZIm2yAUbDeWGAsMJZ4 bW3tf/3Xf3EtQU1NbXJykjUz0xzY+MMf/sC2y0D1WTPwP5Y4nyYAnDhxguvK /OUvf+E6ljifJQv0k/IDHAbIMRCSQJT7GIy5+Svhas4CtxWfLMEnJuAwDj5q xcXFnKMICsSLFy/CYlJVTwZwnvp1XGhHpTIq1xFHsqaZV3l5uSgbghARaLcT 00JMXdcIMdqn26WNp3HbKFSy0P2CJIRwc7sL4RiMue4NRkZGv/zlL1nPbu+9 996qVatiY2M580PNhUvvX//618zMH3zwgaam5r1799hyYlfidnZ2bOm3bt36 5ptvWL/u448/hjMym2AwuM2J9tvf/vbAgQNcZ1fJyMj4+uuvsWxr1qzhvdX9 /f1YzujoaLaPuru7sY8uXbrEmg4/8oULF2AFWDf84MGDbW1tIpbM/0/KD3AY oHlXEZJARMcAHj58mEgINnVV9CJuloRguMRtOI37gpyTzue4OjwYGhqKTSSq nPCZbxf03SbBO445KOlZ79R1P2STIlHH0LJL17H0hQZTxG1BiAhc0obG2Z/C rxZoSHyP1E1mrmsJpGhBp0SXAsI5xtOnT0X50s7OTjqdDqe/69evs/UN4ATO /vB11dXV7e3twk0nNzw83DDHonMLwneBScJ3wTl60WJHRkageRF0/G3+Ya5M S0uLeNVU9J8UA45nOBiQYyDEjuiOwZgbJyc6EW/qulrsmuEav8HcdTMxI0HE lhADzD+TnLNDB8d60lczDt5jpHPSaY0pbpWOzRc7dc9r2ZEk5xgHzyZZOIYw 57BDLBXQOJeXl/tFWsB+5/O4haPRzHVDQqo/9saErLEkjoFYHsBhgBwDIQnE 4hhwWFZVVUUneZi6KorxNRPHqHWncZ+nkWIfPHgg+kpiFBUV7TZwP+ZMwc74 8MdOHduTzquxe+b2YWs1TyvvNgmRnGPsORV1wTtGpt5HeGeZnJy8desW6LGZ 6/rzIWt53NAACTnjq3AG/480UpzMjm0iqGOAZY2Pj3d1dcnUDPUI6TMzM9PZ 2QkHAxwSyDEQ4kUsjsGYa7Jqa2sT00IscLNnahHfNIHWHpp0W68dmVkE4Z4X LwS4kJFt4CGbZOyMr+2QqaJ/6pTHd68Y4JM3Hj37D4m+3Kpywic6gcg6aRRi CYHjtqmpiZxNwIfomLgoWPsrXIhZ75GyyTt9M3gFHA+zouu1xtx1S2D0mbz8 XH4mypmamhodHZXcjfeFEM4xuru7ZertGIT0mZiYgAMbOQZCEojLMTDg8jyb QnIO2G/mvlq4GxogJ07R62c740WYFhTk8zleH/88evTIPSBO3TQUO+PruNJ3 6FzQs93kHLPek7AJzib7TDX3nIqSkGAcu0BV1sPR6blw4SDe7UKIwvDw8J07 d3IoGREJF3BBR229lM7g/2nt8aW9j6pnmGFcsk9eXi6oCG9tgDM15CkpKckg ZyemZhBJWXl5+VCs2I/hhRDCMWCLent72WYeR7xrwAEAhwEcDMgxEGJHvI7B mOtXWV5eHpfic/bi1xYXV7vEbeBzThPfzC1wzWjqtsrJb08aKQ4aZzGOlMtk bGwMGv+dujjmcOL7reKV9Ky1z3ytY7Ntn+nBnXruYAIScowDZy6Z2QejQT5l E2hjOzo66urqbt68efXqVTiMKyoqQBt6enoWnfistbU1K4dqfzFqv/HFHTo4 ZX2vnXoeqsdx5g7Bl1JIt2/f5nz9QewI6hggurBWg4ODQs9ijFgewAEAhwEc DHBIIMdAiBexOwZjrvl68uQJXNDFJns7++8zvrDmjK+CU9R6fMomEIlAylbm LQtv0mb3pI0OEbO3o81cN+BDdAik6OvXr/N56Qc+8+DBg4aGhpqamnv37sEJ gp8b1Ddu3NA/6898XAJx6NzsC60qBt4a5hHMrhoSelASGpPKNgLhuwmctYeH h/v7+58/fw7/vnr1SnYmMBWU6urq8FjCbgO8hlm4tgOZ9bYVGOxOXby9R9Tl y5eFniyYTwSty8whMp4+fSoJn0fIBdBmQnONBsdASAhJOAYGHK6gx3AFl03J iE7Ee4Qct/NWPuW2xchp9UnnlSedVho5K1ji/uboq+4TYZqQ6k/PpYEq8NlR AU7TZWVlCckkZ++Y086hpvZBZ13DfUITydkUaPB5P1/u7OwMiU5VNvCWnEtw jcPniYdMPYuKit7lByXgEs3NzeXl5XRqDo0USyUEU1P94F9aRhykXLt2raWl ZWRkZKlXUwBghcNiCUq6eC279IUekO0y9LNyCYOtlqhHCecYYBeg9OLt9YSQ I2DXwwEAhwFyDIQkkJxjMAFP7u7ubmxsvHXrFlzN5eXlUag5VBolPz+/tLS0 srISWmk4yPlsfiEbWERs4uwoE0rHL+45FXnAOvGQTcr+MwlqxsHKejhbfCSN lstjAgKoRyUlJVqnvA+dS5WmY6ic8PUNS2xvbxffTytPDAwMwAFAI6dQY89T Ag7QPb8sDfr6ZsS/K6K+gX/hb0ihBB6kxtnTsgigposOgCALgA5lkHNU9d15 v++s40pX1veCvc828pJ4EaIug+5iPVQ7OjrQE5N3ENjpsOvhAIDD4F2+9kFI Dik4BidC2zIsCGcf75BLSnruB88mczbmcM242zRU09yLmJHF45EEVKuohLSd eh7Q+EtHMA6eTTp62qe4uFh+nwgIDVwf1dbWgl1Qwgzzfb6qS9jZR9WYKjvw 9spB1pgsPdBLUYdP83y+okQY07PT6uvrZfzngu2ycQsH0V30ANCyJ+05ic/L z5dcSy7cdABYz08wOrBffoarQiwboIWEnQ67HvX2REgOUeYrkT7Nzc1BkclK eh5HeI77vd8q/pCpZw6VDn6+UFE3btywcApRNwuTgmAcdc4BKUpIJr2DPTFg F5SWllIvueT6/KslRflNCbtacMZEyf7mZGW693ZqIu7KlSuyNmQ3E2iT8wsK 1AzcYf/yeSMrPJYgiddMRKnC2BOT8fHxly9fPn78uLW1lUetQSwPYBfDjobd DTsddj16SoKQHHKhFhhwrsnKpqrqu2s7ZC7anmuYhZ9xCePxBgfUMiqVftDE k+v9EDGGrmsunFzcfGNlZwotqTE8PFxYkE8JP3kl+F+vCvYuahesMZy/tyzo a0qkaVFRgWz20IBDKJGQoazvyeeRsPd0jKNntOQelwhdl5maAZe0nZ2djY2N cALq6emBGofuny8bYFfCDoXdCjsXdnFHRwfsbiQYCEkjR47R1NRk7xGpYR7B T3uu40JT0nMnpJN5XJRBc5qYSgJpOXyeKDnHUDMONrUPgmv5d200xdevX4Me UEL0KqK+mSxd/PYFZ7wpOXAr4t+UsBPFxUUy+OLDwMBAeCxh10l/Po+EA9aJ lhfCJDcOuSh1GU5A2EMTqC/9/f1wAoIzUW1t7Z07dyorK2/dunVzjhsIuQLb a7D7YCfCroQdCrsVdi7sYmyYONjpSCMREkWOHKOkpGS/8UXWdwMXvZXh5hfL e9Tu5ubmqIQ0ZT2JaIauW95u09Dj1v75+QXv2v1naLiuX79OibIASeDsesF/ gJxcD9tOiT4DTaWsXW0NDQ3FzE6x58vn8bDfKt4GFyG5ochFrMtY34zJyUnQ OThcYetevHjR29vbM8ezZ8+6EXII7DhsD8KuhB0KuxV2Luxi2NGoDwZCCsiL Y0CNIGVm79B15/8Uf8gmxcQuqLq6mnfJ9fX1oBmq+tw7kQodOi40VaMAQ9sA Wm6uXLwiIV7a2tqoqf6X/b+aKNkvtGBgMX55f7H/V1RCsKy9kgOXgSRy9g4d HMgkP4eEumkoPjBBchO2iqUuT8/x9u1bqHGwgXAyev09Ywg5hLn7YFfCDoXd CjsX28uiHy0IxKLIi2OMjIwkJJMEGtRCy47E5yzqcGl5KYV0wMRTwyxcLG+a aNmTlI5ftHELLywsGh4elsLvI1NAU5ZHp1J9lfuoGiIKBhbPKeoUX9X8PLoU RssUiPLy8qOnfTRt0xZ3Tlc6GHIaiTwmsS6sYqzL2KMTxLIEPRxBSBN5cQxo mZMJmfz3r9ObG/PquLV/RUUFP+V3dHRQqHQLp5Cdeh6ijJtx7AIVREX9BD4o MvnGjRuSHtpRNgFnoyY4V0Z/IxbBwOJWxL+piW6tra1LvXHzePToUUBEsoqB 96K3MvaejjW1D7p586bkVkZe6jICgXh3kJd2CfQ7h0LdqfPDPCOLxoEzl047 h9bX1/P5FSMjI2AFkfFpWubecNY4ZJPC/3fpzb2guudUlJKe+1nX8KwcKpwN 381nnbDVhYWFFN9dA/Q9YnSMfpoGxU/98uXLS71984BLwtLS0pO2gSCWPI4N Tdu03QZ4YkbWy5cvJbcy8lKXEQjEu4MctUsgAHpnfDVtCXye9FWNAgLCkwQd vbCjo6OkpCQkOkXP2g+URt0sDGRjoVnS4OpV2yFzv1X8LkM/OInY4CKIpKyq qqp3rYcnK/39/TRiZGnQ12IUDCxKAr6ikWIlepoWguHhYQqVrmvlq2YcxDnZ DRwhcHioGeBjEokSHeSTIVd1GYFAvCPIUbv06NEj37BEPrvxa9tnaBjiabm5 U1NTgn4RXImDaVy/fj2NRMb5xRmeC1DVx+3QdYevVjMK3G0SrGYcrHoyQFnf a8cx10OmntauYcFRKbm5eXV1da9evZLEtssRLS0tlNhzTUlKYneM+gQlaryD pM/UQjAwMJCfX2DvEaWsh9ttEnLAOhFM+JBN8p5TUTv1POD4SSWSpfCUR47q MgKBeEeQo3Zpenq6uLj46GkfuDBctH8dCIB3SKKIDfvo6Gh7e3tlZWVhYSEp Mzs6gRgSneIfnhQYmRwWS0hMJVGptCtXrjQ0NDx79mwa9dOeA34uSohOd9Zu sTtGR6YaJcxANocyGx8fr62tzSDneAYlnHYOBa8wdwh28oq+lEIqLy/v7++X wjrIUV1GIBDvCPLVLvX19aVnZGsY4nloBjbN5RlxT3M5OTk5ODgIK9DT0/P8 +fMXL16MjIygHtqcgHRRfHcP5Qs2qic/MUDfQwnYd+3ataXexAUB03jy5Ak4 JzbeUVtb29DQkNS+Xb7qMgKBeBeQr/lKGHMzEaeRsrTMvVVPBrBNdqnjQj9w 5tJOXbzDxaiSkpJ3852OJae4uJjiveN1sajDYnDGSOE+iu+u0tLSpd5EmUO+ qjACgXh3kMd26fnz5wUFhR6BCZpmXmAUu076qxkFqpzwUdLFGZ0PSkgm3b59 W9YGUnh3kJxjjBbto/iogD0u9SbKKPJYlxEIxPJGTtult2/ftra2lpWVEdLJ kXGE4Kjk2EQihUqrqKjo7e1d6rV7pyktLaX4qgo6Axo/MZi3h+K/5+rVq0u9 iTKKnNZlBAKxjJH3dun169cDAwN9fX1DQ0Pv2qRjssnt27cpwUd6ctTF7hhd WbspIbo85tJ9x5H3uoxAIJYfqF1CiJempiZKtNX9VBWxO8a9JGVKrE1LS8tS b6KMguoyAoEQjubm5rS0tMjISAqFws/7mMPDw3l5eXFzwB88psxA7RJCvPT0 9FAJQddCt4vdMa4E/4tKDOvr61vqTZRRUF1GIBBCAJJgPJ/8/Hwe+e/fv29p acma38rKChK5ZkbtEkK8TE9P5+flUr2/GSncJ0bBGMrfS/FWKijIQ+8LLwSq ywgEQlC6u7vNzMxMTEyKi4s7Oztzc3MxbWhqauKaH1p4W1tbyODh4XH37t3q 6uqLFy/CfyGR64iXqF1CiJ26ujpKjHVdwk4xOkZ17A5qrG1jY+NSb5zsguoy AoEQFD8/P2g60tPTmSkZGRmQEhoayjX/06dPMQkBOcFSnj17hqU8evSIMz9q lxBiZ3R0lJ5DonlvHxbTSFyDeXto3jvolMzXr18v9cbJLqguIxAIgZicnDQx MYGmA8yBmdjZ2QkpkM51jKknT55gRsHsgwHZzMzMIIVrZznULiEkQUNDAzXh glh6ZUyVHZjtiZGIu3fv3lJv1uLMzMyMjY1B7Xv58iX8C39LbZB5VJcRCIRA YMIAOsE2SzjmDI8fP+ZcBJq4s2fPwqepqanQvk1MTGD3PU6fPo2elSCkBhxs ly9fpoQcq08QbHK0iZL9HZlqzcnK95KUn2aojV/eXxO3kxJ6vLS0VGbfTQaN h6uA6upqWEk6lUJJTqDEReREBeXEhlOS4uk52SUlJXfu3IEKC1VScquB6jIC gRCI5uZmaDdsbGzY0iGFR5cMWArTDPM54A8LC4sbN25wzYzaJYSEGBwczKNn U/z3gi3wKRhtBBWa55cBdnvsLXXOW+r42u4Ltvw83E4pj57D492oJeTZs2e3 b9+mZaZneTuTLLTSDv5vmtKanF0KdDXF/N2K8C9FVYGotDpt/xcks0NZng7U dALUxM7OTrarBrGA6jICgRCIhoYGaDccHBzY0l1cXCC9pqaG61LQiJ06dYr1 vRJbW1uunTEYqF1CSJKenp5cSiYl4MCdmB1vSg7wFoyauJ2Rjrv2Hj+366T/ 3tOx+yxjVY0CVI7ZW1jbFxcXL/WmsAN2UVZWlhMVRDLel75LsXTPurrDm57o ftZvsO3FiS/YokPvswatzWV715FUFNIN1bNDfUpKSjo6OsS7SqguIxAIgbh3 7x60G46OjmzpYB2QDgbCucjDhw8xr8jIyHg5B5lMxh64tLW1ceZH7RJCovT1 9eXn0iiRppf9v3qWveCE708yVGOdlVV0XTRt01jnudOyIynpuofHEtrb25d6 U75jfHx8dizT+EiingpFVQHUolefi1dwjT6DbY1am6mqCsSj28FP4HJgZGRE XCuG6jICgRCI7u5ubHQLtnRIgXSuzoAZRUxMDGtiYmIiJKalpXHmN+ZAjOuP QDDmXjO5du0aNS2E4r/nSvC/HpNUxy+zz5gGBnLE0PLg2WRWwcDi8HnifuOL BYWFkni+ICiz8/Hl5WbYGmaqKNQf3sSnWnBGk/bmLJU1JMujedSczs5OodcH VV4EAiE00DhjTQfrLKJv3rzBEvv7+zkXcXd3h4+gSWdNrKurg0QnJyfO/Khd QkiHx48fFxUVUQkBlFB9que/yoK+vhu7ozFRqTlZuTLq3zjTf+zU8+AUDCxU DLyjE4gDAwNLuwnt7e0UQhLx6PbSPet69D8XWjCw6NXfVr5vPVHzH5TEWLEM kI7qMgKBEBSse+edO3eYKVVVVZBibW3NNX9gYCB8SqFQWBNBOSAR9IMzP2qX EFJjZmamq6uroqIiL5dOS4+iJnlQ4x0osbZJgZZmZsZqRoELOYa6WZhncIIo 1/ui09raSrkUQ9z3+d1DG0W0C9Zo0NpMVN+UEx3C9dGnQKC6jEAgBAUbSByP x2OjD8G/2J2K3NxcLMPQ0FB1dXVdXR32Xzqdjj1eYfYogwz29vaQSCKROMtH 7RJC+oBsDA4OgjO0t7e3tbWBQnv6R+466b+QY+w2CfYNS3z27NlSrfDjx48p SXFE9S1N2pvFKBhYtB7dkq62Pic2bKEB//lkGdTlb78VPhAIhBCMjo5ivS/A E+Li4jBbcHNzYw7sg93WMDExwf47OTnp7OwMKadOnQoJCYFFsMXPnz/P9d38 ZdAuIeQdOGjJ2ZSdOjgdFxqnYOi65u7UxROIZKgLvMsBdenr6wNpAeUG8a6v r3/w4MGLFy9E7MgBJdBIBOK+2e6aYhcMLFqObAGBoSQniOJRcl2Xmaow831M zywezMzINBAIoent7cXj8cxuXe7u7sxxwoG7d+9iQ2EwU169egVqgQ0QihEZ GQmXjVwLl+t2CbFsAFW2cglTNwvjdIw9FlHG54OuX7/OY/G3b9+2tLTk5xdE xBEcPaNPOYYY2wVZOIU4e8dEJxCLiopANoQbbxP8p6iwMF1/V8VBcT4i4Yza w5uI2v/Kp9OEHi9dTusyq12ANkxNMybn4s3b2ZhYILBPsZywCOYbyDQQCKGB i7iOjo6BgQE+L8qmpqa652DtL8qJnLZLiGUGHN40Wu4RC+/dJiFHnXMwuzh2 gaphHnHQ1JOcRVlIkhlzo3DkFxTgAxM0DPHK+l7gJAfPJh06lwr/7jkVqXTc c5/RRd/QxOLi4hcvXgi6YnV1dWTXMwXqayUqGFiU7lmXaXuysrJSuN9QHusy 0y7eztkFyMPrKcboJOPVG8bwBGNoLgbHGS9ZAv6LpUMGyAaZYRFYEBZ/y2Ia CARCFpDHdgmxLOnv76fRc8/jI1X13UEMlPU9VfRw1q5h2RQajycIbW1thPSs w+ZeqicDtB0yuXbn0LIjqZzw1bH0zcyisE79syggNpS0ZKLq+k49Ud8i4See Hf88Y5ci5VL08+fPhfgB5a4uMwUDs4uuVwzPawy1VMbGcIZiCL8BmXcTGL43 ZhfHTANpBgIhO8hdu4RYxrx+/bquri4vLz85LTOZkEmn51ZXV/PohvHkyZOE ZNJuA/yBM5cW6i/KjL2nY/caeaSRsnp6evhcn4qKCtLpo5J+SsIaNZqb0g01 2N495xO5q8tMwRifYuQ0Mz6PZCgECx+fRc4WAkUxNQOBQCw5ctcuIZY93377 LcjG2NjYzMwMj2xDQ0OZWZS9Jz0O2aQsKhhY7D+ToGnuRaPl8jM32fDwMIWQ TNql+JzvYTxFj36DbVkqayjxkVxHv+GNfNVl7FbD25nZmw/gBiAJa0QOKASK ggKhWHQrA4GQBeSrXUIgmNy8edPMPniPRRSfgvHdUBumoedwEXfv3l20/Kam pkwH85v7N0hNMLC4c2hjhpVOdXW1oD+IfNXlb+d6eE5OM54OMbZEMFYHiSeg qCdDs8VOzyDHQCCWHvlqlxAIjL6+vvhk0k49Dx1XukCOcewCVUnPnZBOXnQi 16KiorT9f3us85mUHaNL7/O03RvzaFRBX4SRo7rMvInxeopx8RpjVZA4w/3q bLH838ooLS19//33N23aJPntRiDeOdBkBwh5pKam5rRz6D7LOIEEAwsN8wh7 j6h79+7xKH/2QcmlmJxdClIWDCzyditmh/uDR/H5a4ixCtOFQtBvwXpiTE4z Rt4wlJMZKwOFib1pjII2RlMvw6lkXrpS0myxk/z1ynj69Omf/vSnFStWrF27 VsifDIFALAxSC4Q8UlxcrH4Cf8QxSwjH0LJL1zL3Li8v51F+e3s72f1c+b71 S+IYFQc3ZNqbNjc3C/SbiMsx/n3URaAQzjGm53pivByf7Ufx1wBhAuyCiQbh h/TVQbPFQuGLPi5pbGxcuXLlijmQYyAQkgA5BkLumJycJGVm79B1F0Iwvhs4 9JgrnZ7LY6iZ2tpakoW2KDOrihItR7akn1CvqKgQ6GcRo2Pw/2OK6Bj9Y4xP /IUJ7/lDsh0jz/sUiuXtGHAIubq6/vjHP17xPcgxEAhJgBwDIXeMjIxcSiEp G3gL5xgQO3XxJHI2j+Hpbty4QTy24+GxrUviGB16n6Xt/1tpaalAP4t8OQbW GaNvjPEXP4Hjy9jZAbiYdAyzZ4BimV0yOHn06NGGDRswtfjggw/ee+895BgI hISQU8cYGxt7+PBhU1NTe3v7+Pj4Uq8OQqqMjo7OOoa+l9COsUPXPYOcPTU1 tdBXlJSUpO39vEsqQ29xRr/BNoKyQl5enkA/izw6xvMRxp99BY4b88dRO5LB ngGK5eEYOTk5mGB88sknFRUV27dvR46BQEgIeXSMBw8eZJFz/LxicE5hgb5x VCpdoMEbEfLO5OQkGMIOHZzwz0p03Ojfz1zMlcLCQoLaBmmOjMEWRKXVtJxs 3iOEsCF3jjE2yegZYfzRR7A4XzSvqIhKLnmgWCich2N89NFHAQEB2NQwyDEQ CMkhd47R1dWVmkwyOoazNAg9bxpvoR9kqocnpWcJMWYRQn4pLi7eY4g/4kgW wjEOnycesfDmPZZmfn4+QWVtn8GSOUa60moqOVOg11fl0TGevWL83luAUAye 95Tk6dBsCmc2KHZ0YccAtZiY+KEU5BgIhOSQqGO8ffu2t7e3ra2tvr6+urq6 rq6upaWls7NT6JklgbKyMisTbzuzBC/7XCzOGkfbWwfcunVLjGuOkHFqa2ut LoTtPR0rhGNomEc4ekbDocijfHAYgvqWZ8eX5lkJBGHnahqVKtBvIneOARrQ /Yrxkde8UAhiHE6f/ZctHQv6/XnlQE6u2bp5OgYbyDEQCMkhIcd48eJFVVVV LiUnO9SH7GxBsjxGMj1EstDKPG+U5etKSUsuLy9/8uSJQLeCGXM3ycmZ2QaH cUzBgLh4nqp/2CWX561vxDIDDrDEVNJOPbyOi4BjcDlTlPVw6RnZIyMjPMoH lU07+I+nutIegAuL5/rbCKobCgoKBPpN5NQxfuv5Q6wJnL01AQxNMJQuzfsI 4mTOvEJCK9gzMAM5BgIhI4jdMcbGxm7fvk1JjCWdPpqmur5Afe3tAxvqDm9q 0t7coLW56tDG0j3rMpTXEPWUswM94GqR/wmqGLwcwxU5xrsGHGYWTiEa5hEC OcZuk2B7j8ja2lrehVdWVqYbqrcc2bIkjtF+bCvxyHZBZ0aTU8f49cUfwv3K D3lAM3Yk/PDRqoDv9AMD/oYU1mVZAzkGAiEjiNcxnj17lk+nZdgYZKoogE4s dKu532DbPe0tdDVFos5OSlJ8fX09j5EK2Lhy5coZU+/zpvFMx7A2inRAz0re PV69epVNoR0w8TxgncjnCXGfZexRC5/cvLxF30W6d+9ehq0hHMNL4hj1hzeR TmnV1NQI9IPIqWP80uOHsM6fl62+h/Gp/3cfBd+e99H+tHkLsgVyDARCRhCj Yzx58oRGIhB1dpTuWdejz9eD7NrDm9J3b8wO862oqODzuUl3dzchhWSkg7PQ D7I1jTM/HmBu4JFByhoYGBDXhiDkha6urmRCpoahB8jDomfDPaciD5p4pmfm 8DNGN9hydtDFIvW1S+IYV/auJ1+0f/z4sUC/hjw6xrNXjF/g58XV+Rtd1zOb uI8wLzHoFvtSbMG7zycbyDEQCMkhrvlKoE2eFYwDfxP00u/hsa2ZKgrZAXh+ psLEaG9vz8mmBvrG4S+EBwck0Kj0zs5OUVYeIb/AiZiUmXPM0lflhK+WXTrX 86CmbZqygfcJm4BsCg0clZ9iJycnqZmkdBWF3qV4fZWssoaScol3jxFWxDtf iZQd43/c58XHvrNewUpizbyUJ4OzediWYgvkGAiEjCCWdmlsbCyfTiPq7Kg8 KMy95cc6n6WrraPERz569IjPbxwfH4fMzc3NT548efPmjeibgJBf+vv7i4uL fcMSD5h47tTz0DCP2H8m4eDZpP1W8epmYTt18YfNvYOjUsrKyoaGhhYv7ntu 3ryZbqjRqLVZyoLRenQL8eh2WFtBfwe5c4zXU7My8F849vizz2xnjIXYk8pl EbaAYnmMwcUGcgwEQnKIpV2qqKjIsDEo3bNO6Hb1nvaWtAP/m0+jokE7EUIw PT398OHDy5cvxyel4/zirF3DLJxCzrqF4wPiE1NJpaWl4KL89/nBePr0aXaA e4HUH5dAPSLjbdva2gT9EeTRMZ6PMH7uxiW+jOGuGQE3uednC97jfLKBHAOB kByit0svXrygJMZmqCjw2QeDV9PqbNHQ0CCW7UK8mwwODj569Kipqam+vv7e vXugFsPDw8IVBd5SWJAP6ivNWUue6n6Wpr45j5ojxN05+XKM6RnG+BSjd5Tx MzfuoZPJvtTjQcYfvBfMzxpQLBS+6LyrGMgxEAjJIXq7dOfOHdLpo6L3wJ+d BwpaVxqVxywSCIQ0aWtry/Jyyt+tKDXHKAHTdrFsbGwUYm3lbm738bk50f7b nfGfrtzj1PyC1ZIXzMkav/SYLRY5BgIhC4jYLr19+zaXkpOmtl4sIyIWqa/N DnBHHTgRMgIc3sXFxcRjO6QzyXvLkS1pB/+RT6cJ18VIXI4hBIJ+C+YYb94y Xo4zNoYyfuKyYDhdZgyOz4Y5nVc21oACodg3POd2Z+Wbb74Bx9iwYYMwvxcC geCJiO1Sb29vdpivuC70ag9vIp0+uuj4SAiE1Oju7qYkRKfvWtuhJ9kxP8HS Z1+wigzkv+czG3I09xCc+me+ZUxOz04+YpnH+PEFccap3NlioXD4CgH74CAQ CDEjYrv04MEDsrPlrQMbxNLMPtb5jKj11dWrV8W0cQiEGKipqSF72FNVFSQ3 DWufwTYQdbLjqYqKCqHXU44cgzGnGVPTs9OiNTyffdv0A2fxBBQFBUKxUDgS DARiyRGxXWpoaCBZ6tSJ6U7y3DQN6wWdpgGBkCjT09PgvRln9QvUJTUTa+me dSSzQ5eLiycnJ4VeT7lzjOkZxsTc45KISsYHFxjvO4saUAgUBQVO8P2gBIFA SBQR2yW4xCOZazZpi20MAcLO1WjmEYSsMT4+XlxURLLQyt+tKN67GSAtlzXW phtqFObn8T/oFlfkyzGAme9vZTwfmR2680M3xo+chA9YPPj2bFHYTYwZJBgI hAwgYrtUV1dHsjjSIKZxiqC9Jago5ufnL/7FCIR0GR0dvXz5csY5Q6qqwhMx zcfaqfc5XU0R1KUwP1+g8cG4IneOgd3KmJxmjLyZdYOKToZBFuNTP8aPnRnv OfIbP3VhrAmYnZK1qmu2kNHJ2QLRTQwEQkYQsV1qaWnJtDMRbnhPzph9fXX/ 30pLS8W1dQiEGJmYmCgvL8/ycSGqrr97aGO/aM9N6g5vIu1SJLufKysrA4ER ffXkzjEYLJoxNskYeD07l9mDAUZT7+xsaNXdjDtd30UVSzATa57NZoPMsAgs CIuPIcFAIGQMEdulrq6uLF9XUUb4ZI0m7c0koz2VlZXi2joEQrzMzMzU19dT khPST6hTVRWEe0p4/8iWXDVFoq4SJSG6urr67du3Ylk3eXQMxveaMTU924li dHK2N0X/2OwgWj0js0OCdy8Q8BFkgGyQeXB8dkFYfAoJBgIhY4jYLr1+/ZpC TM1QXiPiNR0WV/euJ+NsHj58KK6tQyAkQX9/f1lZWXaIN/HYDoqqQtWhjZ16 i48P033882rNTTSwC62vsv1xly9f7unpWfzL+EZOHQMD3AAzjTdvZwOE4fXU bIxNcgnsI4iJt9/lx+ximq+pmxEIhPQQfd7Va9eupR9XEb3bZ6/+NpKKAhiL WO4bIxASZWZm5unTp6WlpTnRIRnWegSNLTm7FECS7xzaeE97S9vRre3HtsK/ zUe23D20sXzfeqqqAmH37PAv2REBxcXFjx49mp6eFtfKiHHe1aVl5tvvVEHQ QD08EQjZRPR26cmTJ9lBnnQ1UYfhgotBkrnmrVu3xLJdCIR06Ovrq6mpKSgo oFyKzvJ0yDhnSDLel66/i3hsB7g3yWhvho0BGW9HiY/Mz8u7e/fu8+fPBZ2d jU+WgWMgEIhlhujtElzQXb58mairVKMp/CgZnXqfp+9aS0lOePHihVi2C4GQ MkNDQ0+fPr13796dO3du375948YN+Bf+bmpqAg8fHByUkFowQY6BQCBkDbG0 S3BpBnpAVN/0QKgZKnv1t1FVFcj489XV1aKvDCtv374dGBiAlr+1tRUa/8bG xpaWlocPH/b09KAnMohlBnIMBAIhHM3NzWlpaZGRkRQKBU6Xi+afmZmpqqrK yMiAReBfHr0oxdUuNTQ0ZIf7Z6ooPNYRbOgAEIwi9bUZZ3RLS0vFNePq+Ph4 W1vb9evX6TlZOZFBWZ4OmQ5mGTYGGdZ6mbYnyS6W2YEelOT4oqIisBrJ3btG IKQJcgwEAiEEeXl5xvPhPUrVyMhIQEAA2yILzY0ornYJTtOVlZXZQR7pauv5 7//Zqfc5VVUBBKMwP18sNxYGBwdBrmgZ6WR3W6KuElFFIW+34tW96ysPbqzW 3FR7eNOdQxtvHdhQsmdd9i6FtL2fkSxn++CBbICGiesVQgRiSUCOgUAgBKW7 u9vMzMzExKS4uLizszM3NxdzhqampoUWiY+Phww2Nja3b99ubm6OiorCFuno 6ODMLMZ2aWZmprq6mpIQnXbwf0v3rHvKcyzEXv1tVYc2pu9aR8afLy0tFV0w JiYmZr+dkAjGkr5L8cre9fePbOE9uwQYzt1DG2ffJdT8Z5bPhaLCgq6uLrH8 FAiE9EGOgUAgBMXPzw+ajvT0dGZKRkYGpISGhnLN/+LFCxASyNDS0sJMdHNz W+hWhtjbpcePH+fTaWRnyzSNzYXqa2s0Nz3S2YpN8QBnfBCPJu3NV/euJ6ko kMw1KSmXQAxEf0TS09NTkEsnO54Caak4uKFHf/HBClij7ejW/N2KxCPbc2LD KisrRZmXCoFYKpBjIBAIgYCTHSYMT58+ZSZ2dnZCCqSPj49zLkKhUODThIQE 1sTu7u7m5uaXL19y5pdEuzQxMdHY2JhHo2YH4EmWOkTtfxHUNhCUVhNU1qYd +F+S0T6y+zkqkXDr1i2xvEUCNjXb4/TI9pI967r4GAppoWjU2pypokC+YHn5 8mURZ6dCIKQPcgwEAiEQT548wXSCrVOimZkZpD9+/Jhzkbi4OPiooqKit7f3 ypUrqampcMaEvxf6Csm1S2/fvu3q6qqtrS0vLy8sLMzNzc3Pzy8tLa2qqnr4 8OHY2JhYvqWuri4nOpi4e6NAb872G2x7MndH5e6hjRUHITbcObSx7vAmSKGp KpBMDxbk5Q4ODoplDREI6YAcA4FACERzczPWs4ItHVIW6pKBPVtJS0vDPATD 3Nz85s2bXL9CrtulxsbG7HD/dNV1rUe38KMWz/W31R/eVKyxNl1pdbT6qiDN VV46K/F6K931V3rqrvTVXhm+b1WS8sqAf37sv//rrMwM8d7NmJ6efvXq1cuX L1+/fi3GYhEIDLmuywgEQvo0NDRAu+Hg4MCW7uLiAuk1NTWcizg6OmJecf78 +bKyMlALLy8v+C8oR3d3N2d++W2XHj16RImPTN+9gZ9BObr0Pr++fz1BedYr 7E0/NT3/qTl+tbW/gl3YWoeIdY6R6+zD1p4LVDzttcbYeaW15ac2hz+22fO/ gYGBXH80QRkdHa2urqbTc+OT0iPj0whEcmlpKaw/emcWIUbkty4jEIgl4d69 e9BugDawpYN1QDoYCOcioBbwkZWV1fDwMJYCl8/YfY+kpCTO/MYciH0rJMHQ 0BA9KzNt/xf3tBe5g9FnsK3i4MZUlVWeuivNbVdaea9xjd/gR94SRP2MawRS tnqkbLINXmvistLccouHt8Pt27dFee3l2bNnOVTaWbdwFT2cioH3LkO/nXoe mmZewVHJN27cQP1LEaIgj5UXgUDICHARjQkDWzqkQHpbWxvnIthdi7S0NNZE +C8kwkec+eWxXYLL//LycpLpoZv7N/AWjKe6n1FVFYI0V5mf+/RsgKJ3+uaF 1IIzArK3OkWvN3FZ7eyrRaVls3a75Z8XL15kkHMOmnpqmIUfu0DVw+Vjcfg8 Uem4p5NXNGgGP3cz3r5929PT09TUBMJTWlpaVFRUWFhYUlICi9fX13d2dk5M TAixeojlhDzWZQQCsYTA5TN2ecJ6tfvmzRsssb+/n3MRbDQMNseoqqqCRBwO x5lfHtulx48fZ4f55uxS4D38RevRLWkqq52NVprjV3ukbuLfLljDP2urbbCi Je5vKcRIOJsL9HQDMpeVlelZ++09Hcu0C2aAcoBmBEelPHr0iEchQ0NDc89Z 6NGRyfgLYTYWvqbH8YZH3Qy1XU103a3NvF0dQsKCE7PIOaAfz58/F/nXRcgr 8liXEQjE0oI95rhz5w4zBRMGa2trrvmxd1fZblnQaDRITElJ4cwvd+3SzMxM cXExUeurliO8npLc096StGuVteXs7YuA7K3CCQYz3C5tNHVdG5vsDTuCUzNG Rka6u7sfzdHV1QVWgOWBM35EHEFZ34tTMLDQtE07bO4NHsJ1S1+/fg37Op1I xjmGGh5xM9X1tTGJcbIk4GzIHrYUj/NU93PZF6yI503jTx0PNNBydbAOSEwg Xrt2jetLyohlj9zVZU6g3ggdCARCCLCBxPF4PPYyAvzr7u4OKbm5uVgG7Dq3 rq6O+V9zc3PIcPnyZSylt7cXe7ZSUVHBWb7ctUsdHR3ZwV68p5JvO7o1Zdcq yzOf2oetFdEumOFJ2GTiuiYmyZP5U09MTLS0tMDvnJaaER6S6O8d6+cVExqU kJyYXpBfUF9fD4Zg4xa+zzJuIceA2KmLTyOROYc66ezspNNyPVwjTmjhrI0i QSe87HN5xMXzVJANQ228w9nADFJWc3Mz6lD6riF3dZkVpirMfB/TM4sHMzMy DQRCOEZHRzFDsLe3j4uLg3/hbzc3t+npaSwDdlvDxMSEuUh2djb2MOXixYux sbGnT5+Gv8PDw2dmZjjLl7t26ebNm+kn9zRqLTglSqfe5ySV1TYWn54PFZtg fKcZaZtNXRWT0kLa56DTcwN8Ys0M8Ce03C30g86cjIA4rR98UtvDSAfniYv0 8/XXsfA4dC6Vh2PsMvSLTiCyjcXR1NSUmkwyP+EBpeFtc3jbxTzTsKOdNY4+ eQwXHZF8+/ZtNAPLO4Xc1WUMVrsAbZiaZkzOxZu3szGxQGCfYjlhEcw3kGkg EELQ29uLx+OZXcfd3d1ZX6i8e/cuNgIG6yLl5eXW1tZYflCU+Pj4hd5fkK92 Ca73qSRiuopCr/6CPTHydiu6Gay09lMQr2Bg4Z600dz1Mz9/r8iwBDN9vLle gMuZdM5zvdvZTEuD0P2qpnv17A+eTeLhGMr6XgnJJNaBOOrr6+NjCSeP4uzN E/m3C9aAVTqh7R7oE3vjxg2miyKWPfJVlzGYdvF2zi5AHl5PMUYnGa/eMIYn GENzMTjOeMkS8F8sHTJANsgMi8CCsPhbFtNAIBACMTo62tHRMTAwwP898Bcv Xjx79ozr7Qsm8tUudXZ2Zvu5lexZt5Bg1B3eFL5vlanbKv8sUftgLBS6Np8c 1TlocNjN6XQq73O95YmwHbvMdpuELCQYx5wpqsdxuXl5zH3U2tqaGE80PIJz tkoTTjCwcLfJOqntEeQXX1lZubS7DCE15KsuM1gEA7OLrlcMz2sMtVTGxnCG Ygi/AZl3Exi+N2YXx0wDaQYCITvIV7sE1/gZZ3QXGja8V38bSXm1pfWnbpc2 Skgw7MLWGlj+n4GWG+4sefET/bnsowcc/63trO2QydUx1E1Dbd0ja2trsa3r 7+/PIGUZHcM5WRJEEQwscDZkAy1cfAzhwYMHS7vXpM/4+Pjw8PDAHENDQ+/I wKryVZcZjB8EY3yKkdPM+DySoRAsfHwWOVsIFMXUDAQCseTIV7t048YNoq7S QgN73j20MeDwytNeayQkGBcJmwzt1h0/bM/1+QjXOHMy4sBBh526eE7N2GMR pWnmRaPlYmfA6enp0tJSm1OzL4+ILhhYOFsSjHXdc7KpoowhJhd8++23YGjN zc3Xr1/Py8ujZRFopGgqMYxKDIU/aOSU3Fx6eXl5U1NTb28v7zt78ot81WXs VsPbmdmbD+AGIAlrRA4oBIqCAqFYdCsDgZAF5KtdKi4uJqhveXac++Sq2bsU zlh96p4kqZsYVj4K+oZa1icj+T/Le9rRzXT9NPbYfHPEebdJ8AHrxEM2Kfss Y5X1PQ1sAshZlJ6eHmzT2trawoIuGR/zFpdgYGFlGI5zDF3GT0ywt3vgwKCl R1JibSiBmhTPrwt9v7wS/K/rYdshrob8q9j/K6rnV5SA/ZToM9S0kIKC/MbG xuV3c0O+6vK3cz08J6cZT4cYWyIYq4PEE1DUk6HZYqdnkGMgEEuPfLVLcIlK UFLo5zb01oNjW6M1VpnhVklIMHwythjardPXvOBhSxHoLA+aAVqitP24zkk7 E1t/E7sgW/fIqIS0K1euDAwMYNs1PT1dUFBopo+/YEUUr2PA2hpouaUTycyx 5ZcNU1NTTU1NubQcaoITxVetNPDre0nKvRT1NyUH3l45yBaQ2E/TaElRBveg eCtTYm3plIza2to3b94s9XaIDTmqy8ybGK+nGBevMVYFiTPcr84Wy/tWxujo qKur69dff/373//+pz/96caNG7W0tFiHIUIgEGJBjiY7mJmZoeVkE5VWc72J cevABvzxlWIcEIMtnGPWG5irnDoeKNy53tIg9IyFG5lMrqmpaW5u7uvrY+27 29nZGRmWZKrjK17BwAIMx8MlnOvsNvJLT09PUVEh9ZIr1fubquhvBuh7OL1i oRjK31sTt5PmvZ0aZ5efRxdulHiZQoxVmC4Ugn4L1hNjcpox8oahnMxYGShM 7E1jFLQxmnoZTiXz0pWSZoudXLhXRlVV1e9+97sVHPzoRz/inOQagUCIguyr BSt0Go2wk7tj0NUUz57+FJ8i5Jjhi4ZNoOJxg2N2ZgnCnehdzqRbGntdu3aN 63ZVVFTYWwcI/bIqMy6epzpYJFudCDPXC4CwPBHqcCrJ9QzJWAdXUFCwPEbl gq1obGykkZMoAfuvh20HYeDfLlhjpHBfRdQ3FN/dNFJMdXX1MnjJV1yOQfH4 h0AhnGNMz/XEeDk+24/irwHCBNgFEw3CD+mrg2aLhcK5Pi4ZHh7+5JNPMKnQ 0NAgEolQNVxcXH7+859jiampqaL9hAgE4gfkyzGgNSCoruc6OAZRaZWRw0rR hw1fKCy91ujpmAj9LANvm2N41K2oqIhzo2ZmZnLpuSe0XQV9CsMW580SDLRw eged2cLgME5L41xyYvrQ0JD0d5l4ARMAH6Om+tG9t7cTdwlnF6zRSVbL8/ma moi7fv26vM+BK0bH4P8HFNEx+scYn/gLE97X5xV4jDzvUyh2Icfw8fHBXOLc uXOs6XV1dT/5yU8g/c9//rPAvxoCgVgA+XKMq1evEg9/+UT3MzbB6ND7LE5t lanEOmNAWFxco3fM3PUMScg7DHY0g8Mu+fn5nBsFp/6kS0Tjo15C24WnHd1C PwgzCpNj3udMYp1Op0LYmsaZ6vhC4n4VC6tTDg8fPpT+LhMjIBg3b96kJroV +n71MleAhyO841XB3pKAryix565cuSLXmiFfjoF1xugbY/zFT+D4MnZ2AC4m HcPsGaBYZpcMNtTU1EAkPvzwQ84B/PX19TH94DrdJAKBEAL5cow7d+6QTA80 abMPJP7w2NaIfask99YqhJX3muO6RkIPjYU/l2N0DFdcXMy5UV1dXWFBl0AS hHYMS4NQEAn9w26OFimcnzpZEgwO444dsiSRSNLfZWKkqqqKmoQv9v9qpHCf uAQDi9fF+8uCvqbG2cn1yKjy6BjPRxh/9hU4bszvQXMkgz0DFLuQYxw8eFBR UXHHjh2ca2Vvb485xjLrvIRALCHy5RgPHjwgu1lf37+ezTHuH9kScnDVGV+J jB+OxbkgRX1D7fOm8cJpgLMlwdrMG05hnBvV3t7u6xkj0Cux8xTidOqsYGi6 ulpnLJQHd5asr+mGx/myjkIvX7S2ts6+durz1bCwHTAW1YzL/l9Rk3+Y807u kDvHGJtk9Iww/ugjWJyf/7wxopJLHigWCufqGDz48ssvQTD+4z/+Q65vZyEQ MoV8Ocbg4CAlIZKiqsDVMax8JOgYLnEbDCx2mOn5C2cCZwzDPd0i7927x7lR bW1tXrjIs8bRwpVsfMwbHMPWNI53NvtTSab6rgvNIy/jDAwM0HPSqd47+6ga khAMLIby9+b6/IuWmfDs2bOl3mJhkEfHePaK8XtvAUIxeN5TkqdDsymc2aDY UQEdIz8/H7uJ8c9//lPQzUEgEAshX44BzM6lfugf7fOH+vzuWYmnBJ+V+JG3 GDooHD/s4G6TJagGXLSjndByT00mvXz5knOLHj586OMRbW0kzH0MnA0Z69Xp aUdfNLOhNp6QkiF3A2V8++23V69epYTqNScrS04wsHiUrkoJOFBUVCiPU9bK nWOABnS/YnzkNS8UghiH02f/ZUvHgn5/XjmQk2u2bgEdAzz/17/+NQjG+++/ X1FRIejmIBCIhZA7x2hubiY7W17dO+9xSafe5/ES7vMJcdZfUd9472mDEEFN 4JxJrKNNYHl5Odctevr0aZBvvOWJUCEcw+FUEjgGn3054Cvgi548eSLdPSYq jx8/phKCSgK+mirjMriW2ONa6HZqIq6lpWWpt1tg5NQxfuv5Q6wJnL01AQxN MJQuzfsI4mTOvEJCK9gzMEMgx4AK+PHHH2M3MWxtbQXdFgQCwQO5c4zXr1/T yBlEtQ1dep+zv7tq/6nk3l2F8CZtPumooKd91sEimX8NcD1DMjyCIxIy+/r6 uG7Rixcv4mIIprrCDMBlaxoHjnHmZMSiOS9YEQ21Pc5aul27dm1qakrKe01o vv3225KSEkrAvu6s3VIQDIgB+h6Kj3J+Hl2OfiUMOXWMX1/8Idyv/JAHNGNH wg8frQr4Tj8w4G9IYV2WNfh3jJqamo8++ggTjIMHD8rj/SsEQpaRO8cAamtr Mx3MyvbOm+E9V03RxuJTfLKkJivB4kLM+hM2n+lrOfH5gonb2UxDbXx0eHJj Y+NCmzM5OZlFztY/7MrP8w62sDNLAMfgfQ8EVvXkkYundazsDQ56njmQFOqY R6fev39fLobk6u7upqYFlwZ9LR3BwOJWxL+pSfj29val3nrBkFPH+KXHD2E9 /93u+h7Gp/7ffRR8e95H+9PmLcgWfDpGQUHBhx9+iAnG0aNHkWAgEGJHHh1j fHw8n0ZN2/+3+0e2MB3j9oENeL2VdhIbS5wZtsFrT1j//fjh87amcbytwMEi 2VAbFxZ06fbt27xP6FevXrU09hLixVhnSwI2JsZCGRwtUoy07aPPq1/2/6ou Yee9JOWbcAL13kklBFRVVUltlwlNZWUlJeyEWIbb4j+eZe+mBGnCTlnqrRcM eXSMZ68Yv8DPi6uP5+Ws65lN3EeYlxh0i30ptuCnz2dMTMz777+PCYadnZ1c KDcCIXfIo2Mw5t73zI4IyFRR6P5+Dtb2Y1tj1FeZukm2SwYWDhHrNI3W6mpZ GB3xtDO/hLfNYT2tYwN6m+j4nDbyTEwg1tbWLjqZeGtrq79XrKWBwF0yLtrR 9DVd9Q5dcDubyfkp/lyOoZZzopNSU5ISa2eGF3SNAp+vqGkhMn6pPjU1Radm 07y+nijZL03HgN+qwOdLWlbq6OjoUv8GAiCnjvE/7vPiY99Zr2AlsWZeypPB 2TxsS7HFoo7h7u6O2QVoRlRUlKDrj0Ag+EROHYMxN8cH2fl0rpoic2hxiqqC taUE53ZnRiBl63HbT847WAYHRNtZ+etruRod9cSmCDE+5q1/2PWsuU9YcGJB QQGfHSxfv35NJuec0HYDKxBUM6wMw/UOOpvp+nF+ZH0y0t1MrzL6G85Tw3OK OsVXtbCwUFyXb+Pj4y9fvuzr6+vt7R0YGICzs+glP3/+nEoIuh62XZqCgcWd mB3URLx89Y+VO8d4PTUrA/+FY48/+8x2xliIPalcFmELKHahMbiAoKAgTDA+ /PBDqAKCrjwCgeAfOZp3lY3JycmysjKSlU6h+lpMM2o0NwVpSvYNVixc4jbY +6jCt3d2dt6+fZtGoyUnpsdEpkRHJiclEHNyqNevX29vbxfo8W51dTX+QrgQ b5fgbXOwaUosDULZnt2A+VxyVOmncR9TojToaxopenBwUOhdAF4Bmwmyl5+f T0onJ8QS4BeIDk+OjyGkpWbQqDT4HVpaWoR+WxaWpcSclcIrq5zxmKRKCTeq qakR+seRJuKdd1XK43z+3I1LfBnDXTMCbnLPzxY8xvl88OABNi/Jz3/+88rK SqF+JAQCwS9ypxaswOV/cVFhhpVOrppi9/HP+wy2ZaqsPmP1qWvCBskJRkD2 VlO3VUlpIcwxM6enp+E02jfH0NCQcD3HxsbGQE6MddyFmHbN5Uz6cU1X0Azj Y95OlgRmusFhHMnt6/HL3B80VEZ/Q03x6enpWXzlOAAzqaqqyiLnBPnGn7fy P6HtekLL3VTHd/ZmzvEAU13fk9oe+pou1mbe3u5RREJmeXm5EEOMwldQQvS6 pPVGCWu8oGv8f/bOAy6KLN/3m3fvffv2vrv3ffbz7t69YZWMgDozOzszplEB QQQxYVZEyYqIIJKbhqbJOefUDTRQHWgkCiYQBVEBMSGCiIgIKjnWO03N9jTQ 3XSmezzfz+/jB06fOlRVe079quqc/x8JNeWVJ1c+USyPMTOLjk2hfcPoP/tw 19GCxVu9GET/TORZn1OgWdA415xoenp62EOMNWvW+PBAccPhQiDyhkJ7DHTe ZlRXV1M8zxXoqz46tPaBmU6ciZKVl1IwZa2UPIZzhDou/PDNmzclfiyPHz9O jMuyOIhfNMFDELFWyB7EsxOtWh0hAulvOZF+eSOv7OesQBC5ke/evRNqJ8fH x+/evUvKLfB2jTQ387Y/GX7ZPpPrDvtfonmcyzl/OtbcDHfRPig1KQc4DaEe m7BCbwXvEjl7uzgarzRFCFtKS0uF/A5XEoXL7T42nxPtD77o77y5y25hw4aZ PGty6o9+rGa5eoz29vafCcD16wuzukIgEFFRdI+Bzr80uX37dnFceO6er6uM NagGqvgTq6UUV9wnTesc7m9UWuGnT58kfiBzc3O3bt0i4hMsjxD9XKgizP+8 aJV05hABcxomerbbNu0OvWjQmsHlXcOnK7tpxC0MGiLUU5c3b96UlDADcHGn zHAXLBMETEZPuER3tU0/fdDPzSmsIL8IWCkB/1xFRQVC1B0pk3AGNAFF9f+W RkNE+iZXBkl5DBEQ9q9gHmNiGn0/hmpFob/14in3CnRwjCVbOr9qnAINgmYn uOV2ZzAYgngM0A3FP5MQCAT9SXgMjI6ODiadRnG3z9yhGfjNf1+wWXUxXE2y BsMvW9vGWyOLHCe9qYDAL129ehXvGX3mMMH3YpGwNgMTzqkQOA27M7jMzKy8 7CQa8fs3iNGim/TaqM3UVDeh8n89e/aMRKKcswywPREqwtxUYIEunIk/cwSX nJDd0NCw7FobdD58AULYPFEp+fCeYxWm/bRdnfkGT3N3tGfrP8nR7yAbvC7a +bH0x2cmJcTvaAhFgWImKFBfBpf+2Tl0coaVfORcCfprT0nKjsFqFjQO/gRc kAqBrCwKNC4ty/j4OLho0gspGZdsnDdrWNv+j3OExMJl+GVpW3urpmaH8Imm JamjqKmpCSYknjLDuZ3lkqudv3wc84E/8XAOLylhvn//vq2tjUaKoRG3NSVv B9fQt9Rd4KpaHrIRSThbWVkpeH7Jx48fZ2aQLY/6Lpt8jb88HHJPHfSNCk+t q6tb1maUlZUhAVt5zScRQcBXNKdurwrbVOzz90Lnryj26wus1+af0cm3Wltg u45y4Ysij69LAzfcTtj6Mt8Q8fuGhhQJ4oXkBMXqy+DqPzXDSov24A1rtemv PCQj0BRoEDQLGocGAwJZcRRrXBKEsbGx9vZ2CoXidt7G2lHnfJBqSKG4Aca9 ktfYeK9Jywm7d++eDA5hamrq9u3bqcm5tuZ+tidC+SRt5xT+YrGDRczpI7jI sFTgUtixHYA9oCP51GRXJPIwEn4AibOhkeOuX78OTpSA+9PZ2ZmTlQ9aFiqI Os/HLBcoFgfxMRHpjY2N/P9uVVUVEqj/6Yq470qmqvd0kA0qQzcWXf4q75Q2 abcaWVeZYahWbaJxw3RN3Z41N03X1O7WvGKkTtFXyTFUJR/RpJxf73FcPSYm Blg+sb5LGaJYfRl7XTI+/7ok9jb6K0/0lx7iCjQCmgINjnN7UQKBQGSPYo1L QvHy5cvUtGQX/F4bnJLIQTOCKWsvhKg54jfk5iVzzcwuPV68eFFSwgwhJlke xVkfDXKxScU5UbhYC+fiy3YZ9ifDWeE1PGMolOKWlpaZmRnOpkZGRoDvAr7l 1q1bzc3Nb968EXw3hoaGiosQ6+N4V9t08Q3GDw9bLhScOohLTyHxDwJ28+ZN JHx/38IXPcLqVeHO8pCNFMcvSHvUC/VVgKN4dmRdv/mXnIHoOdV1fP29A9rM nWrpesqRZ8zoRYXg1C06n/KJwvXl2X88ynjziRW68/c+6C/cRRfYPKKO1RT2 EGMWGgwIRA5QuHFJKMCtOrhOpWYFn/P9+nyQKiFHW3B3EVK47nKshrW3SmCs FYNBW5HlbBMTE21tbQxGSUJMpodzuOUx35MHfCyPEG2OBdscD7E6GnjKzNfi kPel86GRoanACTQ1NUl2Murc3NzVq1ddHUMFSbsmlNzPZgPfUlxM5RNLE9gh JM66g2wgmrsYrzS9nbC16PLfSPvUqQaqLQd1ePkKruo8tr7aRCPXeF1hkHdV VRXwWhI8sdJA4foy9ihjcgb9NMHyBvXdqHkhuioY/bUH+nM3QfVPXqhKKCsl a8MrViPDk6wG4UMMCEROULhxSQRYDwSYjMikS2dxX9r7q3gkahLzdHhai6J1 vhlaTmFqVl4quPDD5IK0O3fuCP5aQRqAm+hXr141NjaWl5dTCooyUknJCdlJ 8VlpKbl5ZEppaent27c7OjqAIZH4n3727Fl8dOaZQwQR8rUtK4dT0Tj36Pr6 el5/nZXVPR13N2mbCAZjiGlSEbKxwHptnr5K035todwFp54fWUc3VMs7Y0Iv LHj58qXEz7AEUcS+zLYZI5PowCgrl9nTAbSlj5UNrbEHvfPqBzVwiF3Y9JpV DVQGm4ANweYj0GBAIHKGIo5LIjA5Ofn48ePSUmZKVhAu/KC9z3prHyUHosrF cLVL0equ0erOEeqOIap2eGVLDzXXwB2RSc6FxeSGhob379+v9L4vABwIuKF+ 9+5df3//4OCgVM0P8DalpVdszf1ESNYmiPyckVNmrKz3vE7yp0+faJSMsuAN whqMd/RdJQHfkY9oAnvQdXy9yAYDU7/5lzdN1+Tu+RrJTH3y5In0TriYKGhf xmzG1AxrEsXwJGs2Rf8IK4hW7ydWSPAeHgIfgQqgGqg8OMbaEGw+BQ0GBCJn KOi4JBqzs7O9vb1NTU3l5eV5lMzUrODoFLfwhAuhCQ6RSS4J6b7Z5AQanXrr 1i1w/76yzy7kgc7OztjIdOujQdIwGJguWCZ4u0bevXuX1z5UVlYiwbt4hUPn qsES4xLCd6QDGhW71N/ynnchrO4f0M7dtRZJS5DbRHIK3ZeBN8CcxsQ0S8Aw jE6xNDLJRdhHQOPTP9TH3MWMwqwBgkA+FxQ3X4mYAAvR39/f1dXV0dEBrhov X74E9uPjx48KtFZR2ly/fv2ifZBE1pLwEt6ZlQmOitB4raJ99OgRNeVyU/J2 AQ3GaLnplaAN5MOaVcYaknIXbLUc1CHt/gLJSRctALv0+Ml04dm5H6yCsIIz PCEQ+eQnMC5BpMH4+DiloOjkAW//S7TF7zhcqL4Xi4BECEa6VLbHQ+Oi0l+9 esV1N0ZGRujF+XTiZgGjfd6M/T7/jA5zp5oEn2BwqnG/Nung5lIGfXR0VMbf yLLAvgyBQOQNOC5BuNLT0wMu/cAAYE7A6zzZ8Uyc1dHAkwd8ju+/dNzsAkv7 Xc0PsNbVsl55CBbEY6mcrZO93SL5RBxtbGxEEhzupSz/KKODbFDo/FWBvkrP iS+kYTAwVRlr5DuZ19XVyfLrEATYlyEQiLwBxyUIV9ra2vy8Y4F5uGSTevqQ //HD505a7jY//42Fq5ql12prnBKQpedqi0vq5g7fnjyz5/jB82cOE1ztMoT1 GMC9nLMM4JPhdHh4mEEtpBK3D9CN+RiMsQrTkoDvck3UhF2jKqzenPyyQF+1 KDH60aNHfX197969GxkZkeVXwwvYlyEQiGiAAT83NzcuLg5BEMFTSqHz43Nq ampeXh6vCnBcgnDlzp07Dla+R3ZfPnHc4pTj18BRXIpWx2dqLUpoC371zdBy iVS38lYyd/ju+FEryyNE7/N5gnsMPxequZk3/wynrFkZmQFVYZv45C5pzdAr sF13xUhdqgbj3XyQrnw9Fedt6z3cfBNiM5MSskkkSlVV1dOnT1c2VBfsyxAI RARKSkosF8JkMgXcFtgSUN/FxYVXBTguQbhCIpFMdx06Yf+dHV7ZJ23NsiHL wpB1rIjrOCVz+60nDlwSKq3Jif3eSDHCZ7YtuHaz8rzHWt1J5B4rA3gPBuHb XCPVZ0fWSdVgNO3XztTV8Dbae3K385nDBNsToTbHgk+Z+dpbEKLD0yoqKj58 +CDLr4kT2JchEIiw9PT02NjYWFlZlZeXd3d3MxgMzGa0tLQsu+2NGzewytBj QARnbm6uqanJE3/2lIvq5VgNYB4ED44aWrTuUrS6hYvW8cO2DhYxAnoM8wM4 SkHR1NQUn70aHh5mMmhI2P6H6bpLPUZnvgHFcX3JTjWpGozbe7Xi9b602nPh 3KkoX6dCzkPwcMi1OkJ0PR9KozFWKiIo7MsQCERYgoODwdBBJpPZJfn5+aAk KiqK/4Zv3761t7eHHgMiLPfu3UvKJFh5qfhlCRF6nVO4dK3TbqrHj1qdF8xm nNzvXVSELPui4d27dwwqBQkxuZ+62GbcjP2efEiz+YDo8TyXVfuhtSl6Oqf3 OF/mMeeEcIl+1jzSxSGkvKx8RTLCw74MgUCEYnJy0srKCgwdnEGMu7u7QQko 5xMkCgzXAQEBoFpKSgr0GBDBefr0aXpOhLW3KiGXZ7h1QQT8yWk3teOH7S/Z pPI3GP6XaCf3ezEYDEF2782bNyX0IiT8QH381vHKH3K+T1btofl/m6Ov3HtS istJqAaqjsYWF62S+BwLsBlWRwMjQlPb29ul/U0tBfZlCAQiFJ2dnZidmFsY HtfGxgaUv3jxgteGNBoNVAgNDcVagB4DIghDQ0OUYrKdzzp8pohpajnlnbrm 1MW1Jw644S5wSRfLls+FArtT/levXhVwJwcGBkqZDCThbHnIxt5iVkrWt9Rd hS5f0Qyl+KLkyeF1cfp/O33Qb9m8LV7nydbH8eXl5VL9prgC+zIEAhGKtrY2 MG44OTktKgclfKZkPH/+HNgSBweH9+/fv3z5EnqMnwzAAzx79qyxsfHatWvg KlZaWspkMsEPNTU1d+/effLkCfjG58TI1gCa9Q7d5xqtLr7BwHQxXM3cxsDm WDCfi7KrbbqbUxifcOJLGRsbu3HjBjUnHAkyqI/fej91e4Ht2trdmtLzGLf2 rPE2MnU8EyfIq5/Th/wz08myn5UB+zIEAhGKBw8egHHj8uXLi8q9vLxAeVNT 09JNxsfH3d3dwae3b98Gv0KP8RNgZGQEuE3gJWj5ydRUDyTaAgndjRC3I4RN CGEjQtyGhBgj0ebUlMu0vATgOx4+fPjx40dh/0pvb29GbqQNTim0WIhJnvwV UrjO0kvp+KFzfLKqnTWPDA9O4fNQjivASgEvzWTQwAmJdPwmfq/qnX1a0vMY VcYazsYnBAyrbn8yPCYy/fXr18J+BWIC+zIEAhGK1tZWMG64ubktKgeuA5QD B7J0k4yMDPBRYmIi9qsgHmMREtx/iJiMjo4CJ0lH8qnJl5Agw4qQjfdStr/M NxygG4+Wm05U7pms2gN+eM8w7iowvJ+qWxW+CQnUQxIdaYU5DQ0Nnz59Evxv 3bhxwy1ol2eSpqQMBia3OA1zO13bE6G8JmOYH/DJzysULYzVxMQEcF9RkeEx +755aCbF0Fvlu9QvGFu4n80WxGOcM4+KDE3t7u4W4YiEBXZeCAQiMj09PWDc cHBwWFQOSkD50jTT2LsVQGVlZd082MSMc+fOgZ/B7e3SPwHHJbnl6dOnJXQE SbxAC9jclLxMlEu2hpgmD9J0GcRNSJwtMCfgv4QgWd7AJb6gMMfKS1mCDzEw BVPWnnZTOXHADe9czPVFifO5YGBvxDlR9fX1mScMWg+ulZ7HqDHRvLzrsMty 81cx2RwLTozLevv2rTgHJQKwL0MgEKEYHh7GPANnVkpw74YV9vf3L6pfW1u7 9LkEGxwOt/RPwHFJDgFfN/CE1NxIJFD/btK2YcHSgS0KrH0/VZdK3ErNJF67 dm3ZBF4vXryITHa9GKYmWYOB6XyQ6omTJ7iGGT99yD8lMYdXQjQBuXv3bp6V qVQ9xr0D2kEG2+1OhC1rMPxdqOYHWEtxeWWSlR6wL0MgEGHBpnfeuXOHXdLQ 0ABKHB0dl1bu6OggLyQ+Ph5UtrW1BT9znesOxyV5A/iBqqoqapLzlaCNfYiR sO6CUwN048rQjUicbdmVUv7xJxsbG71C93qnLB/PUwS5x2ua2xg4nIpedDl2 tk6+aB9UXV0tzjxVQHNzc579oQfSfFfSc+KLTF11iz0uPhcK+HsMJ6tEt4vh K5Ix7SfQl8F/BJEFgUBEAAskjsfjsVtR8K+vry8oYccTGBoaAhcIXmkr4ZxP xQJ8v+XlZUicdU3k5tFyU3EMBjvI9q3Y75HIY0wGjY/NqKmpccR/F0ASKyYG L+GztM3Pf2N9LIjzWoy7QDl1EJeTnS/+O4VHjx4VuFrf3ivFOZ9AN0zXEA30 LQ8H+PPOaO91nnz6MI6USxkYGBDzoERAofsy2yrM/kMzs8uLXRk6DQhENIaH h7HZF66ursnJyeBf8LOPjw87KCL2WMPKyorr5tBjgHvkwcHBrq4ucCV68OAB MGMtLS1Pnjzp6ekB53al924BU1NT4KYeibO9EbOFT/IvYTVVvachYSuwGWVl pbxempSWllp5qocUSXgyBqbA/LWnnLVPH/TjfKFw5jAhPDjl3r174p+37u7u wkDPahMNqXqMNye/pBqouhuZAZuBc+IS8eOyfSZwTUlxWYLE+ZcGCtqXOd0F sA1TM+jkvCamWRrnIexTrCbYBPMb0GlAICLQ19eHx+PZ0yp8fX3B9ZH96d27 d7G3IVy3xYKCLl39ykZBx6VlAdbizZs34OQwS0qQ5NjCALeCS5b5Dkfz7A/l Ox6nuNkVBfsg2enl5eUPHz5cqQQTiwB2kZridjViswQNBttmsJ5mxNtfv36d 64sJOp1+2n21NAxG+Py0T1YKeDMcey2J9bEgH7eoq1evSiRR6cePH5H0pOId qlL1GEDdx79ADFQJhgan9rqeNY+8bJfhdZ7s6UBysU6xOhpob+GfkUqSiGsS DUXsy2x3MT3vLoB5GJ1ChyfRjxPoh3F0aF6DY+h7DoFfsXJQAVQDlcEmYEOw +TSH04BAIEIBbrrBzfjAwICYL68XoYjj0rKAE1VVVVUcFw4cRe5OLXD7edVE s2GfVvMB7QdmOk37tev3rqky1ijUV8k1/VvBJSskM/XWrVsr8nybTWdnJ40c xwzcKMIMT0E0XmlaEbKRmh3ENcx1SUnJaXdlodKfCecxXDRPmfkCg4F3LgaX Y0+XiPKycj7B8IWlrKwsx3g98ADSthlvTn5Zu1szXVcTOA1rg2MWZi7nLAle rpHxMZllV8o4Y/7LHoXry2yDgbmLVx9RwjXUMBvVikHVIgUVqLwzBw26wdoc cxrQZkAg8oPCjUv8+fTpE7hVB+6CdHQbsBaN+7V7TvC77nQeW39rz5p8fdU8 2/1ITga4CV2RbFaTk5OlzBIk2OhV4U5pGAxM7+i7qMTtDFrh0pdE4Bpt660N zIA0PEYAWeeU07ozhwgeDrkWB/EEXFxlZaVoATF40dTUlO94vEGaYbg41XV8 /XXTNfgNykFEIvj/1tzc3NPTI5FnMuKgcH2ZbTDGptDiNvSLOFQ1QnStj2M1 Appi2wwIBLLiKNy4xAdwF0nKTE+32F20Q7XloBCrDPpOfnl7rxbJQIOCu1hV VcV/CYY0aG1tpaZ63Ir9XnoGA9O9lO1Iwrmlgbtv3LjhTNjqly1iolX+wqVr mZ/dsN/ogtUx36S4rFu3bk1MTEj2BL59+7Y4IRIxkPrrErbq92rlO55YwTcj S1Gsvow9apieZT18AN4AmAQVsQUaAU2BBkGz8FEGBCIPKNa4xJXp6emurq78 /HzcxXOpO7Vrd2sCzyDCVaP7+BcMQ7U8K1Mmjfru3TuZ7f/k5CQrJnag7mCJ QFG2xNFI2W46cTO9OG/Ro4wHDx74RR53j5dwkE9MrtHq+45sOm/vRaXSnz59 KqXTCMwh6cg2obylyAL/wfL1VZDMlPfv30vpcERAsfry3PwMz8kZ9OUQujYW VQ6XjEBTnUOsZmdmoceAQFYexRqXFjE+Pt7a2lrCoMUHO+OOb8jQU24+oC3O taPf/MurJpqkY7olSNHg4KBsjuLFixfUDD8ZPMRgP8qgJru0tbVx7sPr168T M/wdiCrS8Bh2fsoXL1tevXp12VBg4vDy5cuiSCLVQBV8iTJ4iJFnu//mzZvS OxwRUKC+zH6IMTqF+l9DlcIlKd8aVrP8H2V8/PjRzc3tq6+++sMf/vCXv/zl 4MGDMTExsg+bBoH85FGgcYmT2dnZJ0+elNARaqpbusemIAvNbAMVSd3D1u7W JJsbXmEyJTgpkQ/Xr19Hws2kOhODU+/ou1ipTyoqOPdhenqaTqfaeGkGFUh4 SkYAScfWax2dTpfsXOWlgPaBjSGfNpZqcrR385MxSIZrqKQsuXqIgUqoL9NF Qti/gs3EmJxBP02gepno6jBRZJKLlj5BW/pQ98oF5boZrGYnec/KePTo0Z/+ 9KefLWHr1q1CpfiBQCDLoogeA4wDNTU11KwgJFD/evTmAu+vSabqdyV6ZSnf pV7gfFoGN6rg1olOpTACNkxVS3i9Kh+Vh2ykFaQtmnZy7949QrSFS5TEErtj cgpTC01waG1tlfaZBLx79w7JSSft1Oo4uk5KBqPf/Eu6oRoF78Ir6t0KIimP YeG2SiiJ5jFm5mdivB9jzaP4a6goAu6Cza6cH8uVw1nNgsa5vi4ZHh5WUVHB TMXBgwfBztNoNBMTE6zk22+/Fe/8QSCQBShc0saenp4SejESc7oqbNNb6q76 +K15FtqVxhKOv9R78otCfZWiuLDOzk6pHk5vby81J/Qmx4sSYDbAcT3K0mtI 2Ho1YjPwA6WBG64EbagM3XgjZktzKivvqpjrWxuTtlHTvDs6Ojj3BDg3SlGO jbd6YL7EHmUQcnVsvXUQWuH4+LhUTyMbYGaKwvyKdqjyX08ksmpMNPOsTKur q1dk/REvJNiFMY8h+FcspsfoH0H/J0QUEa8vaPAIZcGnoFleHiMtLQ2zE2fP nuUsB34DK1/ULyAQiDgoirXAAN2fXpSDBBs1JW+frNrThxgVuf8tT19FGheU 1oNrSfs3XCllSnVN4uPHj6lJzq0ZethbDHD1LyF+h/h9s6xqIjc/I+0QLVpX B9kAibNeeid+//79sARHSc3KCC1eZ++vHJvq9ejRI+mdwEXMzc3dvHmT4nWO aqAKjKJk/0vc2rOGdGQbk4bIfuWRICiWx8AmY7wdQf8rWGhtSGIF4GLT9WFx BdAse0rGIgwMDICR+OUvf7ko8l5tbS3mMWJjY0U5cRAIhBsK5DFevHhBK0in Buo9zd2BXSvBfX3e0TXSS1TB3KlWGOT9/Plz6R1UU1MTEm3xIFX3evQWtn+o Ct90P1X3Zb4hcB2fruweLTcdKds9xDR5XbTzcbb+rdjvGQE/+BBm4Hft2frA bgnlMd5SdyHhXKYsTk5OlpeXuQbucI2WwBuTi2FqXqF7JRXMU3CmpqZqamoK XK2BzZBgVK5ruzVJh7fQKXmyT9ouIIroMd58Qv8zSGjdWBjq7FD+4gqgWV4e o6WlJSMjIyIiYlH5lStXMI8RHx8v7OFAIBBeKIrH6O3tpRflUoP0O/MNsAsl uPgWe/+drKf8RqSVqoLo0aG1pMPfV1dXS++4bty4Eea8I9v9K2AYSojftWTo fmCaLGsSgKnoKjCsjdqMOY2KkI1vhMnQCv4EErQTXP2X7s/AwEAxkn8e/41b vIY4BuNStPpFwvd0BvLx40fpnT1eTExMXLt2jeLrnL9DDXyJYv436DnxRamR OtnCqAQp6uvrW/7PrxAK5zFGJtHeT+h/BAonl7IFTcXe5lIHNAsa5+oxuDI9 PY093wB0dXUJezgQCIQXCuExRkZGmAwaEmLyJEeffaEE9+8F1muvmmhKyWBg KtRXQdKTpJTQBFx/wf1U+PlvaIRvWzP0xiuFTrTahxhVhW8CNoPq/y32wkUQ jZTtRoi6i5aWsOnp6SkozHHEf+cSqS5CdPHQonVOYWrOhK3FSMEK3vKDq0ZD Q0NxQmTu7q/Af5LXor5Nu3dAO2+HGsXjbHlZmcyWM4uGInqM1x/RfycKIbWI BW9JXg6xSpZWA80OC+AxxsbG6urqvLy8tLW1MYNhZmYm/DmDQCA8UQiPAe5J kTibO4nbOC+U16O3kPZrtB4U9y6Vv66balJ8HKUROaq/vx8Yp0zC3qsRmwV5 dsFLU9V7HmXpAY8BnMbthK2CrE8ZBh4jUK+yspLXvr1+/bqYWuARbGLvr0LI FSLhu1+2th1e2SfcjM5AwAFK/KQJy/Pnz0uoxQUuZ8g71G6arhH81clb8y/v H9BGDFTJJ/SR9ERgV+Q/eILCeQxgA3o+ov8vYIFUw9EDZNa/i8ox0Rcm2wE1 uVbrEcxjpKenc65dPXTokLRXWEMgnxvy7zFYIapyI8tDNi6a3wju/XOk+aIE U8tBnbwzxuASI9mDAtdfBpWChO2/m7RN2NkUvB5oYJNFb8V+v6zNGGKaIMFG NTU1fPZwaGioqqoqJtXDzkfnQoiaf84yYcbxWdrng1TtcV8kpONBy0tToqwU o6Ojd+7cQUhZ+Rctco10So3UG/drvzi6nmuorlfHvwDf+FUTzTx9VbKFUVFc WHV19Zs3b1b6IARCQT3Gnwg/SiWM9WgCMDSO6qYt+AjodPGCRqLqF1dgS0CP 4ePjg83/ZNuMPXv2SDVSHATyuSHnHmN6epqVLCxo5+uiBSGqPpaaFHl8XST9 dN4vj63P3fs1uNpK8KA+fPjAevUTtvdBmq747oKtwRLj0sANwGY0Jm3jX7O3 2AiJOFxfX89/P2dmZh49ekSjF4cnOp3Hf2ODU3KOUPNM0gR2gpDDEj5TyzNR 82KYmrWP0gX/TVHJrowSVrTw2dlZCZ4uifDx48d79+6V0GlF4f75jsdJ+7/L 1VVBDFQZhmpXjNSZO9WoBqpkXeUc43V5lqYUvAuVlHPjxo2enp6V3nEhUFCP 8X/9f5QvxxQhYDO2pf74kVLoD/YDA/wMSji35ZSAHgP0RPAfY2Jiora2VktL C74ugUAkjpx7jCdPnlAz8Dditiy9bac4fQnuSaXtMcDdbo6uKoPBkNQRAdcE HAsSdWJZJyCCBujG2JKTDrIBn2pPcvSRePuWlhZBdhiMwO3t7ZWVlTl5SZFJ zr4RR1wDdzgRtlwkfO8aaICPPAasBSk/FdzvA3cxNTUlqRMlDcDJB7ahubkZ 7C2dSkUyU4oTo4piQorjw5HUeColr7y8vKGh4fnz55JNCysbFNRj/NHvRzky F1S734uuCvnho4i6BR+Z5i7YcJEE9BicDA4O/vnPfwYe4+c//7n0supAIJ8b 8uwx5ubmysrKkKCdb6m7Fl0lewp3Us6vr9gldY8BRNJVphUVSureHNxNU1M9 ayI3SymwZ1eBIfAYdMK3H0t5zvG4nbCVmkno7u4Was/BTV9HR8f9+/fr6+tv zAN+ePDgQWdnpyJGYAZf6PDw8NDQ0Lt3796/fw/uZ+XcIC2LInqM1x/R/4Nf oJoXC2o297IKd+csKAy/tXirRRJwzucifH19sUcZBQUFwh4RBALhijx7jL6+ Phoppip809KrpCw9BpnlMSgSCfIwMDBAK8ymEzfzMQDi627SNmxiBtdPgbdh Bn5HKyLJJhsLRGYoqMf4F98F+u8glq/gJL1pQUnnIKvOoq0WiY/HuHLlSnR0 NIIgS/eKPQU0JiZG2COCQCBckWePwYpPFWfDuV5V9u9KgHJ0lSX1rgTc+yPR 5o+yBF1kKppGy02x+Z993IJmvC7aiYTvr62tlcgRQeQHhfMYo1MsM/C/cYv1 n4GsyRi8MM7msskigWa5xuCanZ3913/9V+AilJWVl7bs4uKCeQz+06EhEIjg yHO+kvLyciRQn+u6TlBY5Pa3YunP+ew+/kWu6Vd8lnkKDushRkFaaeAGiSwk 4S9gY4DHuMntUcat2O+p6XipBi+FyBhFzFfCjvP5v3y4aEMid5sRepN7/UXi E+dz7969mJFY9Ciju7v7D3/4Ayj/9a9/DZeWQCCSQg6tBcbw8DCNklkWvIHX A3+q3zc5esp9Ul672nZoLdnCaNklGIIw/1jGVtoPMTCNV5oyAr6j+n/76cqC 7GnvGcYIUZdZQpf/aA8QYVEsjzEzi45NoX3D6D/7cNfRJXMiXgyifybyrM8p 0CxonGtOtJqaml/84hfAS/zxj38sKCiYnZ2dmZmpqKj461//inkPAoEg6smD QCCLkVuPwUpImh1UF8d9UgFQTeRm0j71drEjRfPXTdM1BR5nHz9+LObhgHGs hEGjEr8XM2Wq4LqTyJqV0Z694E3T9egt1DTvtrY2iXxHELlC4XK7j83nRPuD L/o7b+6yW9iwYSbPmpz6ox+rWV4eA4DH49kBMX73u9/99re/Zf+6e/duOVx5 DYEoLnLrMZ4+fUpNcX2YzjOCRGuGXr7l2mu7pRtLvHiHal5s+MDAgJiH8/bt W2puZG3UZtkYjOn5abHAY1yL+nHZb2e+QVGQcVlZqaIvoIBwRVIeQwSE/SuY x5iYRt+PoVpR6G+9eMq9Ah0cY8mWzq8ap0CDoNkJHrndMRgMxurVqzmDfP77 v/97VlaWuKcPAoEsRG49RmtrK5Jwlp1idamGmKwwXPl6Km+5BWyUiJ4eWZe6 U6e4uHj53V2OR48eIUlOgqcUEV/jlaZU/29phG+x6R+s2J6E7zwunaJQKL29 vcvvMUTRkNu+vBRw6Z+dQydnWMlHzpWgv/aUpOwYrGZB4+BP8F+72tPTUzEP 7BEQiJSQ23Hp/v37SKzVizx+saRqIjeTD2o27teWksco36UefMKgrq5u+d1d jtu3byORR3sKd4pvHgRXVRgrXdpgifFouWlFyEZnR9V9Vv/pFmSUkRt148aN Dx8+iH9cEPlBbvsyV8DVf2qGlRbtwRvWatNfeUhGoCnQIGgWNA5zj0AgK47c jkvNzc1IzBl2JnderwMKXb8q0FeRRtaSp0fWZexQ9nI69erVK/EPp7q6Ggky FCf3mQiqj98KPMbz3B1V4ZuI3lpnCSrBlLWeSZrWOCWfcDNKMfnJkyfiHxpE TpDbvswV7HXJ+Pzrktjb6K880V96iCvQCGgKNDjO90UJBAKRGXI7Lj18+BCJ s31O4vmuBNP16C15x7VqJT0r4635l1QD1Ygj6vGhnuJPxkDnI/8ghC0iZG8X R/dStud5f53l9hXBW8sOrwwMBrYWILRonWu0up2PTmpWcH19/fT0tPgHCFlx 5LYv82L2H48y3nxihe78vQ/6C3fRBTaPqGM1hT3EmIUGAwKRA+R2XGpvb0eS nJZd6TnENKHhv8ndpfrQTEeCHqPGRJN8RDPEThshJ378+FH8w2EwGIjfd7I0 GEAP0nQjz+nY2SudDVAJKVy3aNWhX5a2tY9yeOKF2traiYkJ8Y8RsrLIbV/m BfYoY3IG/TTB8gb13ah5IboqGP21B/pzN0H1T16oSigrJWvDK1Yjw5OsBuFD DAhETpDbcam7u5ua4XdXgMRhHWSDItevSAYqTw6vk4jBqN+rRdqtRvP7Js/7 axpSKJEo4kwmE/GXRfQtTt1P1b1kq3rGc3Vo8WKDgSmoYK0dXjkw1hrYDLjY RNGR277MB7bNGJlEB0ZZucyeDqAtfaxsaI096J1XP6iBQ+zCptesaqAy2ARs CDYfgQYDApEz5HZcGhwcpJHjr0YItNgTXEwLL35J3qHySOxwGXV71uQaqxZ7 //1Zrj4SqF9RUSGRw2HFLCVuGy2X6buSxqRtbpfUvZLX8ImhFFK4DtiMsATH W7duzcGhWZGR277MH8xmTM2wJlEMT7JmU/SPsIJo9X5ihQTv4SHwEagAqoHK g2OsDcHmU9BgQCByhtyOS7Ozsww6jUrYLOAchqbk7YUuX+UaqNzeqyWau+g9 +UXFLnXSHnUE9/eX+YYv8gyQmNONjY0SOZxr164hoabv6IsTyEpV16O3XPJQ w2dq8Q/VGFSw1hqnlJRJePTokUQOFrIiyG1fFgTgDTCnMTHNEjAMo1MsjUxy EfYR0Pj0D/UxdzEDo2dBIHKGPOcrAXfWSOSRboqhgJfUR1l6xV5/J+1Xpxuq PTsi3HuTB2Y6BfoqeebaJQHf9RazUomxEqBn4Ds7OyVyLKxA4tEW/JfJSFyl gRvs3JUD89cuGxGakKNt5aHu5eNSVFRUW1t7584d4Ddev34NQ44rBHLbhYVl du4HqyCs4AxPCEQ+kedxqaOjA1zl6+O3Cn5VfYMYlYdspNivzzFSvWKk3npw bT/fCF29J79o2q+NGKiS9qoXunwFbvyxBB/jlab0gI10pGB8nHcCSGGPJc27 UYDpJZLSB6YJCf+1lbeSgIkn3OI0rM+sct+glntgY57l7oJLlkXh/tSCvOvX r7948QKaDflHnvsyBAL5PJHncWliYoJOLaQFbBoRJsfHROWe1gw9BuFb4DRI +9TJusrlu9Tr92o9NNN5dGjtk8PrwL/NB7Rvmq5hGKrl6quQD2sWXvyyImTj y/wfH5g8J+1Aok9KJPoWxsePH2kF6bxSvElDz0g7In3WXghVE9BjhCHrbPHK oaarru/WBN7s9l6tMiN1sp4K+eSOQqJHCRVpaWmRlOOCSAN57ssQCOTzRM7H pcbGRiTh3IM0nllLeGm80vRp7o6rEZuLvL+mOKzPs9AGXoJ0QAO4DpKZRt7R NfmWaylOX1L9vrkV+/2i1zFT1XvKQzbSyHGSjTBcVVWFhJj0IUay8Rg1kZtd PdR90vhN+FwkXLqW47lVRTtU2Q9/wA/Ab1TsUs/dtY7idY5Joz579gxODZVP 5LwvQyCQzxA5H5dYt/9FOYzATSKnKx0p291VYNiaodeQsBXYievRW8C/d5O2 tWfr9xYbTVRyWUzKeogRcaimpkayx/L48WNqquftBCFe/YisAbox60WJF89V q7xkh1eONlVqObg42EjnsfVVxhq5pl8VRQRcu3ZtZGREsicHIj5y3pchEIjc 0tbWlpubGxcXhyCIIHnG+/v76XR6SkpKYmIilUrt7u7mVVP+x6XGxkZqkotQ szLE0Wi5KTNwIy0/9c2bN5I9kImJiRI6QiVuG5J+RHFwuvBea1yj1YUyGEAe iZpulqsrdqlznb7y5PA6xEA1//wxJp329u1byZ4fiJjIf1+GQCBySElJieVC mEwmn/rgNtPGxoazvpWVFa9N5H9cApdmJrg2BxvJZlHGrdjvkUTH27dvS+NY Hj58SE31uBn7vVQPoQ8xysX/zdpTiR08XHCBTaxcV2frKfXxSAEDyquMNUiH v6cX5EkkkwtEUsh/X4ZAIPJGT08PMAzAJJSXl3d3dzMYDMw2tLS0cK3/+vVr zGCEhoY2NDTcu3cvJiYG24RrAiyFGJfAgdPyUxmBmwdLjKV6dW7P1kfC9l0p ZUppcuPk5CRoHAkxlp5fmqjcUxm60c1T3S1eQ1iDgeksQSXaVKmdbzSz+r1r cvd9QyXnwKTY8oNC9GUIBCJXBAcHg6GDTCazS/Lz80FJVFQU1/p0Oh18euHC BXYE7NnZWTc3N1CYl5e3tL6ijEvNzc3ULGJZ8EZsbak09DLfkBqkTy/Olepb AHDvT8tPAX5JSm9M7iRui/RZa+enHIYINxODLdcYDfzx1cBF8I8o0rBPi2S2 kV5Y8P79e+mdLojgKEpfhkAgcgK47bWysgJDx8uXL9mF4KYee/0xNja2dBPg QFxcXMC/nIUUCgVsEhMTs7S+ooxLwCnV1dVR07zLQzZKI0N6Z74BLXAbrSDt xYsX0j6We/fuUTMJ4ECEWpMriFoz9NJ9v7L2VCLm6YhmMIB80tZctl5dZayx bOCyG6ZryKeMysvLYfQMeUBR+jIEApETOjs7MTuxaLUg9jZE8KshkUgE9YuL i5d+pEDj0vT09I0bN6gZ+NLAjZJdAdqWqUcN2kGjpHN9nSRxgF+6efMmNdWt MlSSj2WAwcj2/crWQ8k3Y5ng4fxFyNVxOL+KaqAqSHxU5k41iue5u3fvyuC8 QfijQH0ZAoHIA21tbWDccHJyWlQOSvhMyVhEbW0tZlS4ehLFGpdmZmYaGhqo uZFU4nZgDKaqxU1jOly2+0bMFiTcjF5MllTYcEGYmpq6fv06Nc37StDGt1Rx k5hMVO65m7Qtfd5geKcKERCDq4IK1tpeXFWoryKIx3h1/Iu8HWpIRgpcZrLi KFZfhkAgK86DBw/AuHH58uVF5V5eXqC8qalp2RZAHexty6K3J2wUcVx6/Pgx sARI5LGqsE2vi3aKfF1uz9ZnBG6iJruWlZW+e/dOxkcB/FJ9fT01Jxz4pdYM PZHTvvfTdoHzEOWz1tpT3CcYmEKK1lldWpWnJ5DHAGrcr00+tfPq1asyPoGQ RShiX4ZAICtIa2srGDfc3NwWlQPXAcqBA+G/eW1tLWYwoqKipqenudZR0HFp YGCgpqaGmhOKhBhfjdj8Mt+QazQtrvp0ZXdbpl5p4AYk2pxGyQQ2bGJiYqUO pL29neWXok+Vh2x8kWcg1JOZIaZJQ8JWMv5rD091O7wykSz6HIwFHqNwnbXL qnyBPQZQ8Q7V4oRIuMZkZVHQvgyBQFaKnp4eMG44ODgsKgclvNaisikuLsaW rCYlJU1NTfGqZrkEyey69Jmbm+vo6CgvL2c5jcijDOKG2wlbn5N2DNCNl/qN kbLdfYgRsBbXorZQiVuReDtaQfrNmzdl//hiKYODg9euXaORYpGIw1eCNjxM 1+WfAh4cS2e+wfXoLfn4vxO8tWw8lC7Haggbz5OPAvPX2jmxIooL7jGaD2iT TxvfuHFjpc/lZ4eCdl4IBCIPDA8PY0MH57x9cNONFfb393PdClx8c3NzsTqF hYX8s0so+rg0Ozvb1dUF3AKtiEzNJCCxVkiICULYxAz8rjxkY2XoxrLgDYyA 7xDiNiT8AJLoSM2NKGHQmpqaBgYGVnrfFwD8ZG1tLY2Snhdll+WzhRHwLbBD TcnbWzJ027P1gTt6kKZbH78VHFE+/us43HoPT3VLj9UukepBBUIH2uIv/xxt x3Or6IZqgnuMt+Zf5umrUsk5MMb4CqLofRlljV2iCwKBiAA2vfPOnTvskoaG BlDi6OjIa5OsrCxskie4O162/Z/AuIQxNjYGzMa9e/fAlbqkpIRWnEejZIFL Nq0wh4ZQysrKgA9pbW3t6+tjRw6RQ4aGhsD36+51cffR/3DxUMN5aQZ4awV5 awd6a/t7r3H3VHfwULH0XH0+SNUreU1IkcSeXXDKO2WNm+XqapPl165yqsZE k4Jzevr06Uqfws8Xhe7LbKsw+w/NzC4vdmXoNCAQ0cACiePx+NHRUfAr+NfX 1xeUMBgMrAK4KjU2NjY3N2O/YlM4AOCSOrMQcMu/tH2FHpf4MDk5CVwHuK0e Hx/nNRdFPpmbm2OU0E+7qeHStDyTNN3iNVxjNC7HargnaPqkaQWQdUQOriWg XCLVCUdXN+zTEspjtB5cS7YwqqurW+nz9/mioH2Z010A2zA1g07Oa2KapXEe wj7FaoJNML8BnQYEIizDw8PY7AtXV9fk5GTwL/jZx8eHfTOOPdawsrLCfsXh cEunWGBEREQsbV9Bx6WfNvX19W5BRsBRSNVL8JIdXjnOWOnpkXVCeYzek1/k GGiWMOgw8/tKoYh9me0upufdBTAPo1Po8CT6cQL9MI4OzWtwDH3PIfArVg4q gGqgMtgEbAg2n+ZwGhAIRED6+vrweDzbKvj6+vb09LA/vXv3Lii0tbVF5ycn WFtbQ4+h6Dx79iwi6eLFMDXZG4zA/LXWzqvIusr95txzovFR0Q5VJDMVTslY KRSuL7MNBuYuXn1ECddQw2xUKwZVixRUoPLOHDToBmtzzGlAmwGBiMDw8HBX V9fAwIBk7xMVblz6HBgdHaUUkSy9lEOlM+OCjy7HanhbrL5qoimswQAqM1Iv iiQCS7zS5+8zReH6MttgjE2hxW3oF3GoaoToWh/HagQ0xbYZEAhkxVG4cekz 4datWx4huz0TNWVpMEKL11n7KCXsUnpyWLgXJexpn4UB7t3d3St98j5TFKsv Y48apmdZDx+ANwAmQUVsgUZAU6BB0Cx8lAGByAOKNS59PvT19WWSYqxxStKe 4ckpzyRNF9tVNGFWrXLqhukaCu6iDJLKQbiiWH15bn6G5+QM+nIIXRuLKodL RqCpziFWszOz0GNAICuPYo1LnxW1tbUewSZu8RqyMRghheusvJTijJVaD64V zWPcBB7D50JHR8dKn7nPFAXqy+yHGKNTqP81VClckvKtYTUr1KMMa2vrP/3p T5s2bZLycUMgnx0KNC59bgwMDORRMqy91QPzJRxli6ucI9S8LFaXGqmLZjCA andrFhIud3V1rfSZ+0yRSF+mi4SwfwWbiTE5g36aQPUy0dVhosgkFy19grb0 oe6VC8p1M1jNTgo8K6OwsPBn86ipqYlyyiAQCG+gx5BnmpubI5Nc7P2VJRgq nKt80rTsL6zK1lfqPLZeZI9RaaxRFIqHWUtWCkl5jJztSkJJNI8xMz8T4/0Y ax7FX0NFUQvH5OJdOT+WK4ezmgWNC/K65PXr1//2b/8GPQYEIiVgsgN5Znp6 urq62it0r5M017EScnWs3VfHGyvdO6AtssEAohqoIqkJHz9+XOnT9tkhwS6M eQzBv3QxPUb/CPo/IaKIeH1Bg0coCz4FzQriMebm5vT09H72D6DHgEAkDrQW cg64ZDMYNOcAXZdIdWkYDCJZx9pLKWKfkmjrVdl6a/5lrp4qvbhInkO1/7RR LI+BTcZ4O4L+V7DQ2pDECsDFpuvD4gqgWfaUDD5EREQAa/Hzn/8cegwIREpA jyH/DAwMINQC54BtF8PUJLvMxD9H28pTKdRsdfkudRGCbnHqyeF1pKPbBEmR A5ESiugx3nxC/zNIaN14uaC1Q/mLK4Bml/UYLS0tv/vd74C1uHDhwpYtW6DH gECkAfQYCsG7d+8YDKpHsMnZABVJTQH1TNS0ubw6cq9SpbHGW/EMBlDdnjUF rtZtbW0rfao+XxTOY4xMor2f0P8IFE4uZQuair3NpQ5oFjTOx2NMTExoa2sD X6GpqQl+hh4DApES0GMoCh8+fKisrAxLcLT2VhEzNhdwKeeDVM87rEraqXTD dI2Y7gITK5B4WsL79+9X+jx9viiix3j9Ef13ohBSi1jwluTlEKtkaTXQ7DBf j+Hk5ARMxW9+8xssmyT0GBCIlIAeQ4GYmpq6e/duTl6SC1HXzk/ZJ22NCO7C JVLd2m014ejqPH3lloM6EjEY7YfWkg5trqqqWukz9FmjcB4D2ICej+j/C1gg 1XD0AJn176JyTPT2Be2Amlyr9fD1GNXV1dgcjICAAKwEegwIREpAjyEzRkdH X7x48eDBg8bGxpaWlu7u7snJSRHaefPmDbiaJ2USnQO2W+OUXGM0CDna/K1F MGWtd+qa80GqVq6rcSdXpxso1Zhovj7xhUQMBhBzp1phkPfz588lftIggqOg HuNPhB+lEsZ6NAEYGkd10xZ8BHS6eEEjUfWLK7DFx2MMDg7+5S9/AY5iw4YN s7OzWCH0GBCIlIAeQwaMj483NTXR8kkUf9d8h6N51nvzHU8UBeNKkKK2tjYR FmLMzc11dXVdvXo1Jy+RGH3GEb/B0mu1A1HFJVLdLV7DM1HTK3mNe4Lm5ViN CyFqdnhlYC0u2awKNVudrcdaPyJOEAyuDzFy931zpZQJV5SsLArqMf6v/4/y vfpjHWAztqX++JFS6A/2AwP8DEo4t+UUH49hZmYG7MTvf/97zqD30GNAIFIC egxpMzQ0VHaltMDNlmygUW2ice+AdstBncb92uW71HN3rS0ketTW1gITIlrj 4KaspaUFmA1KESklKygiydnVb7+d/Vfnjv+P96nV+OOrga+IN1Yi6SqXGak3 7dfuPSmxZxeY3pp/WbxDtSgqEIYQX3EU1GP80e9HOTIXVLvfi64K+eGjiLoF H5nmLthwkXh5jKysLGyZakpKCmc59BgQiJSAHkM0JiYmBgYGent7X7161dPT 09fX9+HDh6U38mNjY2WlpeTTxuAS37Pk3UTnsfVUA9WCS1bXrl0T8yEAcCn9 /f3Yu5i4mBiC3vpCfZX6vVoPzXQ6jq4Tc10qH1031cyz3Q9s0hxMQLXSKKLH eP0R/T/4BapZmFKvuZdVuDtnQWH4rcVbLRKvOZ86OjqYx1BeyG9+8xtQ+Mtf /hL7lclc6HUgEIioQI8hONPT011dXY2NjWVlZXkFRXEpuaExGcTINGJkenhc ZkoGuagIuXr16sOHD9++fYtt0tDQUOBypnwXzyQgb05+CWxGUbDP48ePJbKT wPnQaDT3cxbZeqrAXUjJWmBqOaiTu/drRnEh8FcS2XmIOCiox/gX3wX67yCW r+AkvWlBSecgq86irRaJl8fQ0tL6mQDk5uaKdvYgEMgioMcQhOHh4ebmZiqd HhKTYeMaYXQKv/0YfodF8E6rCCPrqJ3WUYaW4frmxK1HfPbbBFzwiUlII1VU VDQ1NRVlpubtUOP/huL5kXWk3V8wGXQxH2VMTEyAv0impHuH7d9n9V/2R/8r X1+567gkp15wihV0a6cWkpbQ2dkpodMMEQuF8xijUywz8L9xi/WfgazJGLww zuayySKBZrnG4IqIiLjIjT//+c/AWvzLv/wL9uuDBw+EP3MQCIQLMF8JfyYn J+/fv59PKXbGxxmcwBmcDt3jmH7Yo/g4jslVB13zd59L0jsZsNeK4HjZL9x8 ryABKJg71YqiAsXJJtbf33+lrDQk3t7aW80tTiO4kBUBw+PMaoq+imRneGJq P7SWbKhRHB8Og27JA4qYr4Qd5/N/+XDRhkTuNiP0Jvf6iyRInE9O4HwMCERK QGvBh76+PmZpqXdQkv4J3122sXysxVKZXSJ/Y+KA1/2q7dDaZQfq+r1aBW62 T548EW0/nz9/XlCY7ULUBb6CHQU0tGidA1HFzYoVB+Px4eX3QXA1H9AmGekU J0QC9yXZE64QjI6Ovn379tWrV52dnS9evOju7gb/T4aHh1d8RopieYyZWXRs Cu0bRv/Zh7uOFize6sUg+mciz/qcAs2CxgXJu4oBPQYEIiWgx+BFe3t7Doly yJ5ocCb0sHuR4O6CrR0WwcH6f3t2ZPlJEU37tfMdT7S0tIiwn21tbTl5Cfa4 dW7xGovCYoQWr3MMUXU6uyrVQKluzxrxA4b3nvyiyliDZLYJyUx99OiRxM+5 3DIxMdHR0dHQ0MBkMmmULGpOBDXDj5rmTU31pGbgqTmhNEp6CYNeV1f39OlT YEJWZCcVLrf72HxOtD/4or/z5i67hQ0bZvKsyak/+rGahR4DApEHoMfgSnNz c0IqyfAk3tQhRQR3gcnQMpxguFmqzzHAJpmkWBtvTZ80LV4BuNziNGxcVoft VyreoSrIznBVv/mX9w5o5+ur5l+0YNJpr1+/lsZpl0Pev38PrAWdSqGm45Go E0jA92XBG27EbLmbtK05dfv9VN3GpG23Yr+vCNlIJWxGIg8D10ErIt28ebOv r0/GuyopjyECwv4VzGNMTKPvx1CtKPS3XjzlXoEOjrFkS+dXjVOgQdDshAC5 3dls27YNy10i9PmCQCB8gR5jKS0tLTFJOfrHfQ+4kEQ2GEAm9gmOJgLNxyg1 Ui+KJAo7H+PVq1ek/FRbb23fDJ4Gg51f1c5P2dluVbyxEs1Q7YGZTt9JQZ9p vD7xxd19WkU7VMmndiKp8fX19St1ny5jhoeH6+rqaJQMJM6aTtx0O2FrV4Hh SNnu6at7uWq80rSncCfwHoyADUjUSVpe4rVr1wYHB2W2wwrUl8Glf3YOnZxh JR85V4L+2lOSsmOwmgWNgz+x0u+vIJDPHQUal2TDixcvUjLIO074ml3KE8dg sOZ/Xi4wPuBI0lPlv66k4yhrXUkJjSrUuhJwBaQzkPP4b7ySBcpaEoas80zU tMYpOduuitinRNJTrjLWaNqvDf76Ur8BdvjZkXV39mmVGaln6Sn57lzlc9ac SqWKMytVsXjy5AmDWojE2zMDN7Zl6o1VmPKyFks1UbnnGWlHWfAGJNqcXpz7 8OFDdsxqqaJYfRlc/admWGnRHrxhrTb9lYdkBJoCDYJmQePQYEAgK45ijUvS ZmhoqLCIanwav/9itpgGA5PBmVDXXUaVxhq8DAYWH6Mw0Ku9vX35/eMA3CPj wg9eDFcTKicacBrAk5wLULFxWe1mtTro4OoEY6VMXaUCfZXiHaqsSB07VPP1 VNL1leJMlIhHWBHIrS6vPunyV3v3LRUVFeKsrgXX2YGBAXDtbmxsvH79enV1 NWgQ/At+bmpqevr06fv371d82iQ6n3iurq6OSoqiBureS9kulLvg1GTVHmBO 6MQt1ExCbW2tDB7+KFZfxl6XjM+/Lom9jf7KE/2lh7gCjYCmQIPjwrwogUAg 0kOxxiWpAi5w4FpgdSnc2C5eIgYD6LB7ke5RH6LBxvJd6ktzkP0Q59P5NPi7 Ql2+Ozs7U7NDbHBKoUXrRE7vDsyGU5ianZ/yGY/V1s6r7J1WnXNcZee0ytpl laXnant/FecINZ+0NSGFrD9xlqASneIm2krVwcHB5ubmkhJmeiopyC/B7WL4 OcsAm5N4y6M4G3P8OasA94vhQYQE8CmTWXr//n3g9ET4KxJhfHy8pqaGmuJ2 JWhjH2Ikmrvg1GCJcVXYJiTOtqys9OPHj1LdeYXry7P/eJTx5hMrdOfvfdBf uIsusHlEHasp7CHGLDQYEIgcoHDjkvQAF+6oxGzdE4Rj3gxJeQwgM9c83aM4 Z2PjHF3VGhPN+we0Ww+uvXdAu9JYI9dIp5BwGVzUxsbGBN9P4EauXCk9j/9m 2WkYgiuYsha4DiJZB/yLmYpFCiDp2HprI1SKULsK3EJdXR0ptwDvEX3mKM7y cMD507Gudhle58k4Jwr+YjH4F/zsapt+3iLmzGECqIP3iiGTKPX19dK+Ii9l cnKyuroaSThXFb6Jz7wLYTVRuedm7PdI1IkrpSXDw8PS23+F68vYo4zJGfTT BMsb1Hej5oXoqmD01x7oz90E1T95oSqhrJSsDa9YjQxPshqEDzEgEDlB4cYl KTE7O1tRUXHANmC/c44EDcYPTzM8ig0tI3aaXbTdbeZlpIfT/QZvvCX+og29 iNLS0jI9PS3UrnZ0dMSl484GqEjKYAgopzC10PhzAi6wBecT1KTkF3u6RJgf 8HE8EwfsRIArg79wFyiOp+PMzXDerpGUguLW1lbZzGRA553btWvXkCSnmsjN 45Uivh/hpanqPfXxW5FoC/B/bGJiQkqHoIh9mW0zRibRgVFWLrOnA2hLHysb WmMPeufVD2rgELuw6TWrGqgMNgEbgs1HoMGAQOQMRRyXpMGrV68iE7L0zYkS NxhsHXIvMnVIMbKJ1jcP/M7YJiEx+dOnTyLsalVV1QX/TRJ8iCGgiGQdW28d RsnyMc9HRkZqa2ujw9NOH8IBd+HnQl3WXXAK1D9/Ovb0EVxsZDq47gv15ERk WLHiM/wqQzeOlkvYYLCnZ1yP3gI8zK1bt6R0CAralzGbMTXDmkQxPMmaTdE/ wgqi1fuJFRK8h4fAR6ACqAYqD46xNgSbT0GDAYHIGQo6Lkmcurq6085hey9k SM9jcMrQMpwYmfbixYvl92wh79+/zyYn2OCUZGwwMJ0LUEnMIAA/xmcPP3z4 cOVKmfflyDOHCD6O+UK5C055O+afPuSPc48uLysXzYwJTm9vL60glRG4eYhp Ig2DgQm4lytBG6i5Ec+ePZPGUSh0XwbeAHMaE9MsAcMwOsXSyCQXYR8BjU// UB9zFzMyeugFgUAERaHHJUkxOTlJKUK2H8Ud9abLxmPsu5h9wjHk5s2bwu5q a2srMeaMa8zikJ6ykVfyGq/QvXfu3OG1e8AMlJQwLzmE2B4P9Rfy8QXXBxo2 x4IvXwi7UnplZGREvC+ZJzMzM+Xl5UjY/g6ygfQMBqY+xAgJ1C+hU6XxcOYn 0Jdn536wCsIKzvCEQOSTn8C4JD6vX78Oj8s0OBMqG4MBBMyM7jEcQqMJuxq0 trbWibDZL1t7RTxGUMFaW2/t0tJSrvsGrFpFeYWbU5j9yXDCJbqYBgMTaAfY FQ+XiMrKyqmpKUl824t58uQJNcOvJnKztA0GpjuJ25Akp3v37kn8QGBfhkAg 8gbMu4rOPxxwwsXuPpcsM48BpH8qKD41d2BgQPD9nJ6eLiousPRUCkNEXLIq vmx8lXPyErku+qivryfi462PBvlfoknEYGACrVkdIQYTEvk8PxGZ+UU6TCTI 4C11l2w8xnDZbhpxCx0pkGDEDNiFIRCIfALHJcDt27fNnUKlsaKEj4xsov3C Ul++fCn4fg4NDWWSou39Zb2ihFMXQtTi03FL85V0dXWlp5BOmeHwF4slaDAw +ToVnjqIy0wn9/T0SPSbR8H5p2YFXovaIhuDgakxaRs12VW0YCN8gH0ZAoHI G3BcAly9enWvFeGQW6EsPcbuc8nOvnFCZS999epVbKrXhVDhYntKVq4xGsFx 9ovSt01PT5eWXrE/Tbhsnylxg4HJ1Tb9nFVAeVm5OLFGl3Lz5k0k8ujLfENZ eox39F1I0M6KigoJHggK+zIEApE/4LgEAKO90Sn8EU+qLD3GHsd0B8/ohw8f Cr6fL168CE+84BKlvoIewyNR0z/KvLW1lXPHnj59GhWWan0sSEoGA5PVEWJs ZHpHR4ekvvfJyUlacQGDuGGico8sPQZQZehGWl6SZDOmwb4MgUBEo62tLTc3 Ny4uDkGQx48fL1t/ZGSEyWQmJSWlp7MiDPCJLgjHJUBZWdmOE7ijXjRZeoy9 FzLs3CLv378v+H6CS3lwnN3l2JVZVILJK3kNLvwQ527Pzc2Vl5fbnvLzcMiV qsdwP5t99gyhsrJSUt/769evqdkhN2O/l7HBAGpO3U5NdQNfqKSOBYV9GQKB iERJSYnlQoB/4FMfOAonJyfO+u7u7u/eveNaGY5LAHDZ2mWBP+KByPQ5xvm0 817RAobNxJj3GPby5jHevn2bmpx75hBBqgYD0+mDfpnpJF7/mYWltbUVSTjf nq0ve4/RTTFEoo43NDRI5EAwYF+GQCDC0tPTY2NjY2VlBW4Vu7u7GQwGZhv4 XJuSk5NBBX9//2fPnrW3t/v4+IBfCQQC18pwXELnF4Tutwk4eJkiS49hcjbJ 1S9ekKdSbObflTjJ27sS4DdwblFOVoky8BgXLBPwXjFCGTM+gEs8Enm0p3Cn 7D3GENMECTKqrq6WyIFgwL4MgUCEJTg4GAwdZDKZXZKfnw9KoqKiuNYH1yzw qbW1NXt1IfgBuBRQ2NnZubQ+HJcAd+7cOeMctk9C+dwF1E7rKGJkGv+YmYsA lePkb85nVVWV7Sk/bzFCegour/Pkc2cINTU1Evner169igQbSTW2Jy9NVe9B /DeUlJRI5EAwYF+GQCBCMTk5aWVlBYYOzhWO3d3doASUcw0VWFxcDD6Njo7m LIyNjQWFFAplaX04LgHa29td/eNN7BNk6TH0TgakZJCFymMuh2tXp6amCinF J/d7y8BgBMyH5Dqx3xtBqBJZXVJRUYEQdSWYYlUoMQK+oyFFElwmA/syBAIR is7OTsxOzC1M84M9l+Ca7SIqKgp8tOj+iMlkgsLIyMil9eG4hM7PKIhJytlh ESwzg3HEk7rjOK6EyZwTJoHT9PR0MUKx9FRe6RhcSeynZIODg+mpJMsjRNl4 DKAzhwlZGXkSyfx+5coVhLBF4llWBVRp4AZaERncR4h/IBiwL0MgEKFoa2sD 44aTk9OicmxKJ9e30kQiEXxUW1vLWQh+5TUlA45L6HywRxqdvuMETmbLV/c4 pltdChdhyp+8xRJ/8+ZNXHSG3YkwmXkM2+OhiXFZwBaK/72z0pQQt6/ocwwK fI4BgUBWigcPHoBx4/Lly4vKvby8QHlTU9PSTfz8/MBHdXV1nIV37twBhT4+ Pkvrw3EJo7Gx8axHlKlDimw8xg6L4Ij4TBGiVs7nRLOUn5xor169igpLPWse KTOPYX8yPDYyvbe3V/wvnTUfI8jww0rMxwCi+n9Lp9PFPwo2sC9DIBChABcU MG64ubktKgeuA5QDB7J0k4CAAPBRfX09ZyGwHKAQ2I+l9S2XIMH9VyDAfXFy Bnn7cb9jPiXSNhhmrnkmZ/xKmEwR7mHfv3+fk7eSud2TMhfkdmd5jHBZe4y4 KMl4DNBNkIjDvcVGsjcYH0tNkCCDqqoqMQ8Bdl4IBCIy4D4XjBsODg6LykEJ KF8UzxkjPj4efLRo7KqsrASFoaGhS+vDcYlNbW2tuVPonvNp0vYYBqdD8WGp Qq1a5QR8uRf8N/lmaMnYYBDJOnY+OowSOqc1kv27EpvjIUkSelfS0tKCxNs/ yVmB+Bg9hTuRyCOL7gXE5CfQl+fmRBcEAhGW4eFh7PaEc2LYxMQEVtjf3790 ExKJBD4qLCzkLAS/gsLU1NSl9X8C45Kk6OvrS8/O0z3uK9VZGfsuZu+3CWCW loqcqbyjoyM+HXc2QNarS5zC1EITzi2aBTQ0NJQh4zmfhwjZmZKZ89nd3U3N DKiP3yp7j/EwXZea7NLe3i7+UbBR6L7Mtgqz/9DM7PJiV4ZOAwIRDWx6J+cb 8IaGBlDi6OjItT42vdPT05Oz0MPDAxRevXp1aX2FHpckDji3l/BxhmfCpGQw gHvZfhyfkErq6uoSeSdnZmbKyq6cx38jy0cZASQdW29thFo4Pj7OuTOsdPOF Ml27enK/F5VKnZ2dFfvbRsfGxmhFJGbgd1PVss5XUh2+iUaKk1TAUgwF7cuc 7gLYhqkZdHJeE9MsjfMQ9ilWE2yC+Q3oNCAQYcECiePx+NHRUfAr+NfX1xeU MBgMrAK4kWxsbGxubsZ+BZcA7E0Ke9rnrVu3wK8XLlzgmrVEQcclKQHOHrO0 9PDZQJOzSRI3GMe8GTssgt0DEm7fvi3mfnZ2dqZmh9rglEKLZLSI9SxBJTrF nWs68urqansLgvf5PBl4DE8H0jmrgEXLpsQBNIWEH5BxqE9WkE+iXmkpUyJO iY0i9mW2u5iedxfAPIxOocOT6McJ9MM4OjSvwTH0PYfAr1g5qACqgcpgE7Ah 2Hyaw2lAIBBBAMYA8wyurq7JycngX2yFCPudOPZYw8rKir0JuMvDSiLnwaJ4 8VomqYjjklR5+/ZtXkHx7jN+exzTJWkwfEoMLcNtXCMqKiokEhLh+vXruPBD F8NkEfPzcqyGK1Ef7DnXSaoPHjzw9Yh2spRFLHHHM3H+PnGLsr6Kw/Pnz6np vnVxMk2L9iBNF0l05DpnWxwUri+zDQbmLl59RAnXUMNsVCsGVYsUVKDyzhw0 6AZrc8xpQJsBgQhFX18fHo9nTx339fXlXPN49+5dUGhra8sumZubKykpsbOz w+qDjxAE4dW4wo1LMqCrqyszt8D4NF5SS1mPetMNzoSecQ5jMkv55MAVCtAO nYGcx3/jlbxGqgbDN0PLzkeHUpQzMDDAdU/6+/vTU0mnD/nLwGNYHMRnZea9 f/9eIucQnQ+lW0KnUonbB0uMZWMwxipMGcRNtMKcDx8+SOooMBSuL7MNxtgU WtyGfhGHqkaIrvVxrEZAU2ybAYFABAdcU8C1D4zzAkaGnJ2d7e3tBW5k0Qv0 RSjcuCQbOjs7yflFB2wDdlpFAocgjsE45EbROxlwzjP6ypUyicxUZPPq1StS fqqtt470JmYQcrStvdUzciO5LmJiU1lZaX+a4H4uR6oGw80+y8GKKNk8Yuj8 CnFqqrvMHmWwHmLE2Uo24yqGYvVl7FHD9Czr4QPwBsAkqIgt0AhoCjQImoWP MiAQeUCxxiVZAhwajcEA3kD3hP9+kdKlHfNmmJxN2nHClxiZXltbi82okSzg 0p9FirXxXuOTJvmnGX5ZwGCoJmUSOTO5c6WjoyMmMt3qaKBUPYbl4YD4mEyu qf3EYWJiopTJQIKNZDArY7DEmEbcRi/Ol6zbxFCsvjw3P8NzcgZ9OYSujUWV wyUj0FTnEKvZmVnoMSCQlUexxiUZMzIycuPGjbiU3P02AfqngoDTEDBC11Ev mqlDyvbjflaXwkn5RQ8fPpTs7D5OHj16lJOXaI9b5xYnyeCfXslrgHVJywnj Gk52ETMzM+Vl5Q5WRFfbdCkZDBebVEfbwMrKSmmcSeBbaKSY0sCNUo0rPlG5 pypsEzXTX4LzSThRoL7MfogxOoX6X0OVwiUp3xpWs/wfZVhYWJjxgGscIQgE IhoKNC6tFC9fviwrKwuNzTx6Lmj7Mfwum5h9F7MPexQvfWpxyI2y53yaoWW4 7jGc7eWI1My869evDw4OSnsPOzo6CgpzXIi6DoGqgflrxXQXwZS1F0LVHPEb cvOSBL8a9vT0ZKaTTx3E+ToVStxg4Jwop8xw2Zl5b968kdI5vH37NjX5Um3U 5skqaa1jbUjYisScqampkWCOEk4k0pfpIiHsX8FmYkzOoJ8mUL1MdHWYKDLJ RUufoC19qHvlgnLdDFazk7xnZfT39/+MN8bGxuKfRggEggE9hiCAe2dwq1tb W5tNovgEJ1k4hxpb4Lce8dE94a93MkDvJGH7cb/tR7z3WhPs3SODotML/397 ZwIWVdX/cQiXcone6u2xMktfl7TSFp/+WWZli9abba+vmW/5pCUq7htuqCio hAIqiiKiJeCCyIwgAi6Ioo4gCoaouJDiAqIgI8gyAvP/zZy6DXcWZu7c2eD7 ec4zz8y5557zu+c395zvuffcc2OkaWlpOhdJsxC3b99OSNzjv27imAXdZ6/p sVzQM63+Ma/NC3lp9IKuS4J+iouTmvo6lfT09OW+693+57vYQyqiwPDxkI4a tiTQb4MxV1QEU11drXrV++qfjwV/YInlMrLCPpYEDomP2yXWpF9txNIYw//j aVIQpjFq1DMxiitU8yg6+gsJpC44BkX8Hd8lUJUtZa7vdgk5msmJjh07vqzF 5MmTzag/AEA98LIDk5DL5ZcuXaIx7759+3bGSCK27tgUvu3XiO1btkXHxsYl JyefOnUqPz9fxBd2Gw8VSqVv2/GrV+C3pBNmBXX33drLSHXxy/ZX5wT3GOPV ee6yLyK2qVbwEDB7RKFQHDhwYP6slWOHL188c5coAoPkypgf/BbODaK6tdDw n4N6/4Q98ZJVw4+u+aBqn5gy42ToRxL/b+Kk0fqezTETEU9hpjGMd5CZGqOo XPnCciHB93C9DP+3o95WytaAxvDz82MaIy8vT2g9AQCMAtJCMNTlVVRUUMdU Xl5eVVVl5PM+lqa4uFgmk5H28Q0aNd7r9XE+XTxWdffa+MrSrb00F+zyj3nN d5vqgRSSIhOWdHVf8IrPyuGkLg4fPlxYWNhwMXogZZKQkDh3euCY7/18ZkjM FBjeM2JGf//L/JkrkxKTqKpFrCV9lJaWJibukQSP2R/YT5T3sd5P+jp19fuS lcPi4ySivGPFAI6lMdhkjFvlyg7LTA5916sW4OK4WspPQNlyUzK0GTZsGAmM xx9/3Ix6AgAYBTRGo+Tu3bu///57QsKe37YE+a+b6Ln8q8nefUZ5dvvZ819u 8/9Fn6Pmdpm46P/m+A3yC3bfFBEYtzv21KlToixtTaJr7969PvNX/zTUe/7k rYIFxrxJWyiHJQuD9+/fTyrOfMOMhGRScnKydNPCuF/ey40YYM59kyvbP9vz S1/J+hmJiQlWmJbjiBqj4J7yOT+TQ+qVerl9t52fgLI1oDF69OhBGuOjjz4S WkkAAGOBxmjE1NXVFRcX5+bmpqenU78ZHx8vlUp2xmyTSGN279594MCBtLS0 c+fOkbQQ9zZEZWVlamrq2tW/jfrfwkkjg7xnxJh2+WJ6zMSRq9x+WBQSvPno 0aNVVVUi2mYMVBukuHbt+FWyYtj+gH5Xoz4zVV3cjPk8ZdV7Ev+vdm1bJ5PJ rHMIDqcxyquVN+8pn/3FtOCRWC+rNcd1pKFsKXOdGqOiosLFxYU0xqxZsw4f Puzj4zNixIj58+fHxMRY4ulyAJo40BhNClIdDx48sMJtHSqC1EvMTukiz6AR Q70m/bTamBeazJ+8lTTJyKFe3vNXSyS7SB3Z8A7UrVu3SIZJI1dIAockLuub /evHd2IbWAv0bvyX58IHkCyRLP9C+ptvYmLCtWvXrGawI2qMG3Ll074mhBdX 1LtLcuWuKkY7GWVbpkdjkK7W90RJ586djxw5Yl79AQDqAY0BLEdZWVl6enrU 9p2+i9aO/dH7p6HeE0es8hizwXNiBEkOr6lR9Dl3YgTFUDxtdR/h4+u9bkdU TEZGhjXvj+iDFE5+fn5ycvKuqDBJyBRSDrt93zkc9P6pDR+d3fzJhciBF7cM JFGRFfbxkTUfqG6L+H0qWTt+19a1e/fuvXTpkqUnqfJwOI1BMuC6XNluab3Q LVA5ZKvqkxfPQuy5evlQSp3JruvXGCEhIZq6omvXrr17927VqhX76eLicuLE CTPqDwBQD2gMYGlIaZw5cyYpKSli87ZAv9AFc1ZOH+830W3puJGL6ZO+e81Z Fei3ISJ8O3XNOTk5lnu6UzAlJSW///77gQMHdu3cKo1cKd24QLJ+mmTdBFIU kpCp0jBPaUTAruiIffv2ZWZmWnpupz4cVGM8teTv0DVAdWmCuFup/HhjvU0U fo6pl8kqGT8BFwxojLFjxzI58fbbb3NXmYqLi4cMGcLie/bsqVAoBFUeAIAP NAawGqWlpXl5eadPnz527Njhw4cPHjxInzKZjLpvirfE8tqiU1lZWVRURNae P3+ehFN2dva5c+cuX75cWFho87v5Dqoxnlz8d1iU/Hcakhkfhv29qbP/n/KD Qd8pRnNfzWBAY5w9ezYyMjIgIIDnr5qaml69ejGZQX9LU48IAKATaAwAGgcO qjEe9/k7TImvlyzrprLT8j83rThWb9PXkfV25AUDGsMAGzduZBpjzZo1ph4R AEAn0BgANA4cUWPckCsf864XDtZfFivzpiryq4h6kYFH+XvxgoE5nwY4cuQI 0xjTpk0z9YgAADqBxgCgceCgGsN1Ub3wvJ9KV2iy6WS9mD9KVGl4e/GCAY0h k8mkUmlycjJ/g1IZFxfHNEZAQICpRwQA0Ak0BgCNA4fTGPcVKjHQdiE/PPeL ajKGPr4I17ELL1C2Otfgqqmpadu2LamIDh06aOc8d+5cpjH27Nlj6hEBAHQC jQFA48ARNUbBPWVrLx2hb4humeF/RHd6XjCwzufnn3/OhER0dLRmfH5+fuvW rSm+Xbt29vDcNACNA2gMABoHjqUxamqVFQplYZmylZfu8H0Uf6+8EuUzvnrT awbKljLX+U60+Ph4Z2dn0hKurq6RkZE1NTUPHjxISkpq37490x7r1q0TWnkA AD547yoAjo7o7121zrvdK9TvRHt0kfLhBbrDuPoZf/ab3pSa4XEfVbb6NAYx c+ZMbg2ulmq4nx4eHrW1tUIrDwDAB9ICgMaBWBpDAKaWwjRG1QNlcYXylVXK lvP1hrl7lSUVquAeayiZZqAMKdsq/e92J3bu3NmpUydOWjg7O3ft2nX79u3m Vh8AoD7QGAA0DhzoXKauv7ZOWV2jevnIxN3K5vPEDOPiVNlS5lSE4WdXb968 mZKSkpqaWlpaaq1DB6BpYZ12yZ5bP9hmDvZsYVOzzZ6PVxvq/RU1qteinS5Q PW3azFOcQFlRhpQtZW679+kBAP4EGgO2mYM9W9jUbLPn49WG3S6pVN8uWXNc 2Wye0sXT3ECZUFaUYaXBGyUAAKuh3S4Z31KJm9Kec7NVuTgKS+dmq3JtdRR2 Re1flzIK7qmW7mzjpXxorvBAu684psqKXcSohcAAwA5wAwA0FmzdnJgGu5RR XaO8V6XSBrJ85YhoZadlyuaeSuc5xoZH5iu7+qteyZp2TZVJWbUqQ1zEAAAA AJo4nMwor1beua96l9mFO8rsQtXb0DKuK9Ov/RnSNAIXefKGKhklpl1oR9q9 HAIDAAAAAH/BZIaiRjWJoqxaNZuiqFy1iNbNe6olwa/rCbSJElAySlxSodqR dldAYAAAAACgPqQNmNKoeqAKJBjuK1ShvFpHYJsoVD74Mz1TFzVYPQsAAAAA uqit+1MqmBowwxMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABoT OTk5kZGRwcHBEonk/PnzDaYvLy+Pj49fv379pk2bDh06VFZWZjnbBJRVVFQU Gxu7YcOGkJAQqVSan59vV+ZxpKamhoaGXrhwwXLmmepZoqCgIDExkY4oLCxs 7969lZWV9mNeaWnp7t27Q9XQF+u8zpsqISgoiBzdYEprnhcAAOAQUFvNe2MC tZMG0lPLOW3aNM30c+fOvX37tiVsE1AWte1jx47V3GX06NGGj8ia5nH88ccf Y8aMoV1IaVjCNqXpniVkMtm4ceM0d/Hw8CgpKbEH886dOzdx4kTN9JMmTaJI S9jGceLECVZWcXGx4ZTWPC8AAMAhuH79OvXI1AsnJSXReD8uLo41j9nZ2fp2 oSEkJVi8ePHFixephffy8qKfS5YssYR5ppZ148YNJjD8/f3T0tJOnTq1evVq dkS5ubk2N4+jurra09OTGWYhjSHAswUFBZSe0oSFhVF10fh9xowZ9JPq0Obm 1dTUMGN8fHyo38/IyKBqp58UqVAoRDdPqVofuy4lJYVTXA1qDGueFwAA4BAs W7aMWsKtW7dyMdu3b6eYVatW6Ux//vx52koDcLlczmLoC+vWaWAurm0CyoqN jaWtU6dOpS6JxdTW1s6ZM4cit23bZnPzOMLDw7nRroU0hqmeJX799VdKsHz5 cqo0FnPy5EmKcXd3F70fN9W8K1eusOoiccJiSE+ymMuXL4trm1J9u41ZyGFY Y1jzvAAAAIeARtNs3EoNOBdJg0o39f2FiooK7V1iYmJoa1BQkGbkmjVrKHLH jh3imiegLOqnPDw86FMzkhJbYjAuuCqysrIozaxZs/z8/CykMQR4lnZhfSJ1 r1wkiY3MzEwamNeJ+pIqAeZRT836em4OBiVjBp89e1ZE2xjsPg6Jq+TkZFaK YY1hzfMCAAAcAtZuU6vO60FYo5qXl6e9Cw0zaRO1wJqR8fHxFLly5UpxzROr LF9fX9qFegF7MI+Gt1OnTqU0NPKlLslCGkOAZwsLC2nTnDlzFArF6dOno6Oj qXPMyMjgrmnY1jwyg9VbeHh4eXl5ZWUlu+4xYcIES9wrOXjwIBXEZlOQ0mhQ Y1jzvAAAAIcgJyeH2sBp06bx4tnUNZ13xll/nZKSohlJPy1x61mUslh66s50 9lzWN4/piqioKO67JTSGAM+yq/0+Pj68ewR+fn737t2zuXlsLyYz3NXQl/Hj x1tuxiyHMdcxrHleAACAQ0DDVWoDZ8+ezYufP38+xZ88eVJ7F+qDaNOxY8c0 I9PT0ynSy8tLXPPML4sOgV2T5909sZV5rNOhrWzobTmNIcCzMpmM0xVhYWFp aWkSiYR15aGhoTY3T6l+1Jf3zMuMGTMsMRmDhzEaw5rnBQAAOARnzpxhl8d5 8dT4Uzx1BNq7LF26lDZRf6QZSU0rGwKLa56ZZVGHzgTGqlWrHjx4IK5tAswr KCigcTd1WNx6HZbTGAI8S2awjjs6OpqLPHDgAIts8KkKS5t38eJFZgnJxWI1 bJoNudgSTwxpYozGsOZ5AQAADsH169fd1IsM8OIpxk3Pw55r166lTfv379eM 3Ldvn5v6cVFxzTOnLDYHj1i/fr2Fnm001Tx2OX3RokXH/oI93rhx40b6Lu4a FAI8m52dzWpM886IXC5nOs3AE6/WMY8pipCQEM3ITZs2UWRkZKSItmljjMaw 5nkBAAAOQVlZGetWqquruciqqioWqfl8AceWLVt4Q12CfrIL7OKaJ6ysuro6 6nS4Ibm4D0SYYx5vgSYe+m4QCEOAZ1m/T/AW9mTreNjcPNJmtOnQoUOakZmZ mW7qpa5EtE0bYzSGNc8LAABwFFjHl56ezsWkpaVRzJQpU3SmZzMK5s2bpxnJ uqHk5GRxbRNW1ubNm9kldF5/JDqmmrdr166t9Zk5cyYlXrZsGX2/ceOGuOaZ 6lmSFmz2heYlC4ocP348Rd69e9e25gUEBNBWiUSiGUkuZpeGxLWNhzEaw5rn BQAAOApsHQBvb+/79+/TT/pkA8a4uDiWgDqXjIwMGjCyn9TpsAva3PS2o0eP uqmXvRL97QzGlMUzj93oJ44cOVJTH9GfwTTGvJycHDKvsLBQZw6Wm4+hNMKz 2uaxwfjs2bPZ7RLuipD2xAkrmMfzLFtdjSr86tWrXIJZs2a5WWB1NR46NYYN zwsAAHAUqAFkbSM116GhoazR9vLy4tbJZKPL0aNHc7tIpVIWs1INu19PySxh XoNl8cxbuHChvpsRK1assL55bCTLWzaBw6Iao0HPaptH3Sh7OHTy5Mnr1q1j i3W7u7tbYlKlqX88bvX1cePGUVXTLmx3Dw8PY95WZg46NYZtzwsAAHAUaBhL w0muL6bhJLdcs/Kvd0JRR8PF0PCWeiXuKULaxLuCLSINlqVpXm1tLXvLmNU0 RoPmsYcxExISdO7O1oGkAa/ohjEMe1aneSUlJf7+/qx/ZLtkZWXZxDztP55c LidpwdlGBAcHW+h9bZrovFtk2/MCAAAcCxpXXr169c6dO0ZOkqQO/ebNm9Qp WPTd39YvSwB2bp6pnlWqLxrk5+dzr96wKKaap1AorqvRnC9qP9j5nwEAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAgEaPQqGIMI7U1FRbG2tViouLs7OzKyoqbGgDvKMPuVx++vTp27dv 29AGeMeegXfsGXjHChQWFgYFBb3++uvt27dfvHixrcwoLS11Mo5vv/3WVkZa k9zc3JEjR7744ovOzs501PTZtWvX8PDwuro66xsD7/C4fPny8OHDu3TpwrxD PPbYY1OmTLlx44b1jYF3DJOVlfXCCy9Q+/bf//7X+qXDOzw+/PDD9nro3bu3 lY2BdwRDw9779+8bTiOVSunU06xGDw8P65inTXl5ed/6dOzYkVn15ptvasb7 +fnZykirERUV1bZtW3b4LVq0cHV15Xzk5uZmfXvgHQ7SeL6+vo888gg7fNIY bdq04bxD7eS1a9esbBK8Y4CSkpJOnTqx2nj//fetbwC8w+PZZ5/V14/TJisb 08i8U6HGOmUNHTr0s88+M5xm5cqVPBfbUGNoExAQwKxqUCw1MmQyGTvwPn36 7Nmzhx3+hQsX+vfvz+ITEhJsbWPT9U5tbe17771HB/7GG28kJibK5XKKIZdN mjSJVcjXX39taxubrnd4kCCkZpBr32yiMbRp4t5p1aoVHfvMmTMPaHH06FFb W+fY3qHG55tvvrFOWd9+++2nn35qOA2dgDV/8fTTTzcajXHnzp0TJ06kpaXd unVLLGPu3bt3/PjxS5cuWedWxdKlSydMmKBQKDQjqTtr164dVcjYsWOtYINh mrJ3iouL165dS2cNL/6rr76iCnniiSdscj9Lk6bsHU28vLyoEh555JHBgwc3 Ao3RCLxTVVXFjj0+Pt4KxQnAob1DTZDVxjjGaAxNnnnmGQfVGG+99ZarqysT wCkpKf369eOGLc7Ozt7e3iwZuclVjfZ/++LFi2zT/v37tfOPiIjo1q0bd9u9 devWVLci/otM4rvvviMb3nnnHZuUrgm8o820adPIBhcXl+rqapsYwAHvEGQt Kzo4OHjKlCkOpzEapXcKCgpYcRkZGRYtSDAO7R0LaQzSOadPn+ZF2oPGoOrd unWr4N2N9HWXLl0oTWxs7O7du1u2bOlUn82bN7Nkubm5LEYqlfJyOH/+PNuU mJioGU+Sm7vQSjm//PLL7du3Zz+ffPLJ7OxswYcmmA8//JBK//LLL83PCt4R F7lcTm0Clf7qq6+anxu8YyaXL1/+xz/+QcUNGTKEfrq7uzuJpzHgHcHk5OSw giw3bakpe0enxjhz5ow5N6GOHDnSpk0b6np48fagMfz8/EiGhYSECNvdJF9T S9KiRYtmzZpRY5KVlUVuKi4uJrfSJ0smwNfTp09n8TNmzCgrK2ORMpmsc+fO FPnuu+8KOy7BVFRUPPzww1T0smXLzM8N3hGLBw8ekNm9e/d2Ul/ESE5ONj9P eMcc6Ezp1asXFUTtc3l5uVJsjQHvCIY6LFa0v7//4MGD+/Tp079/fzc3Nxq2 19bWilJEU/aOTo1BSqBVq1YpKSnGHD4PKrdt27avvPLKnTt3eJvsQWMQU6ZM IXevX79ewL4m+ZogrcVzliam+vrEiRMPPfQQczQvfVpaGruEJcxrgpk9ezYV 2rx5czoWUTKEd8zkhx9+6NixI/eMycCBA0UcA8I7giG/OKmfJr548SKLEVdj KOEdodDA30kPPXr0QMtmpnd0aoySkpLXXnutdevWpi7xQSW6urqSX4qKirS3 2onGICZNmkQ1ExoaauqOpvra8PUxU33t7e1NMST/dD4K1L17d9oaFBRkygGZ Bf2v2H9v3rx5ImYL75iD5qPf5B0ajpG1IuYP7whg9erVzB2ad8BF1xhKeEcQ JMI7dOjQrl07Hx+fgwcP0s+4uLh///vfzM6ePXuK9ehl0/SOvvkYd+7cobol OWT8TZOMjAxS6d26dSsoKNCZwH40BjFhwgRy94YNG0zayyRff/7554ZzM9XX 5Ckn9UybH3TBbvWOHz/epCMSTF5eHnuo/KWXXhJ9PiG8IxgadEgkkpCQkGHD hrEn8h5++OHIyEgRi4B3TOLYsWPNmzen/BctWqQZbwmNoYR3BEG9Z1VVFS9y 5syZzNTw8HCxCmqC3jEw57OoqIi6j0cfffT48eOGbSZOnTpFZXXu3NnAooJW 0Bj37t2bZxyenp4uLi7k7rCwMOPzN8nX48aNM5ybqb5+9dVXnRpi9OjRxh+O YK5cufL8889TceSjP/74w8i94B3reIfj7t27ffr0cVI/KdngJV94xxLeoVpl 7ZiTeqm6MRqwI6Wt7GdmZqbhfOAd4w9HFBQKBXWsVPTUqVMNp4R3DHjH8HMl hYWF3bp1c3V1TU9PN2x2VFTUQw899Oabb7LpTDqxgsa4ffv2B0bDKmf69OnG 528hX8fExPA26fQ1u3xHQi5DP1ZY0TE/P5+tO0eq8syZM8bvCO9Yf71N7rm8 BiflwjuW8M6lS5cabJ8ZO3fuNJAPvGP9c4fo2bMnGTZo0CDDyeAdA94xrDEq KirefvttEl0RERGGzSY2b95MMqN///6VlZU6E9jVvRI6IrLW3d3dpL3E9TX5 heW2bt063ibqu7V9TRrYST3BkmSzSWYr1YubyWSyQ4cO8RbRMhX6f7I7/o89 9pgxF7iEAe+ICFsBnkbKYmUI7xiPXC4P0sO7775LJtHxsp8k3U3NXCfwjljU 1tayc6fB6xjG09S8ozSoMaqqqgYMGGDSVR2qQBcXl4EDB+q8QW8/GiMyMpLs pFbX1HXkxPV1TU1Ns2bNKOWPP/6oGX/r1q3XX39d29fJyckscvjw4SaZTSfL W2+9xfY1yQU80tPTn3zyScrkqaeeMnxp1xzgHVMhU6m60tLStDdR28tyFvzc HA94RywsMR8D3jEVymHOnDk65xByL7bYtm2bgJy1aWreYejTGKQJBw0aRIpr 06ZNJmW4ZcsWqsYvvvhCW1U2qDGoAks0YItUU41xMcJ0lE4LR40aJWChWnF9 TbBH5lu0aBEdHa1UXzjas2cPe+hY29fETz/9xOKHDh2qeXnq/PnzI0aMWLBg gc5SDh8+7KSBsHXzyBJ2d/Kf//xnSkpKXl7ehfpcv35dQLY84B0B3lm4cCHt SO3G7Nmzs7Ky2Iri1HhGRUWRs5zUy+ZcvnzZ1Gy1gXdEXHNSdI0B7wjwjo+P j5N60EQinOtfyFpvb28ynja9+OKL3IoQ5tAEvcPQqTGojRo8eDAJjN9++61B a7Uh1UfN3ffff8+Lb1BjUP07GaRTp04C7NGEqpQcPXLkSGEr4Yvu64iICO7o 2rRpw9azopqngp577jltX9O//Z133mHpnZ2dO3bs2KdPHybGWA46Hy+6ffu2 5rJv7H9lEtnZ2WxuvAE++eQTU7PlAe8I8w7ph759+3I5kBRks7U5S0QZiME7 wryjD3E1BrwjzDtHjx5lL8ZyUve53bp16969O9fWubq65uTkmJqnNk3TOwyd GoNECxVnzgM7Uqk0Li6OF9mgxqDKcTJIhw4dBJvESEpKGj9+vODV29jVM6oc fXNOGCR9jfQ1/eX8/f2504TNm5VIJLSJXbbau3ev9i4bN25kj3VwUIfy888/ GxirhoaGvvHGGyxxcHCwcYf7N7zxgk7M1xjwjjDvKNVXLQIDA/v168fuIHMM GDBArBdHwjuCvaMTcTUGvCPYO3K5fN68eZoLyzippx+MHj26sLBQQIbaNFnv KPVojISEBBHlOoep8zGaDiQCMzMzSTqWlJQYvxclTk1N3b9/v5E3KYqKikhL 0x+D/vBCLW2KOJZ3qCnIzc2Nj48nm0W5t2jnOJZ3mhqO5R3qKw8ePEij47Nn z1pi9rW9YR3v2PN7V4G4hISEOKmvB4olzoGIwDv2DLxjz8A79gw0RhOBJDq7 zGXMlTRgZeAdewbesWfgHTvHmhojIyNDJpNZpyygyZo1a5544gk6DXv16qX9 rjpgW+AdewbesWfgHfsnTY2trQAWpK6ujnR+y5Ytvb29m8JNRscC3rFn4B17 Bt4BwE6Ij48/e/asra0AuoF37Bl4x56BdwAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAABoZPw/HBXAaQ== "], {{0, 200.}, {358., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{358., 200.}, PlotRange->{{0, 358.}, {0, 200.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7645005310189095`*^9, 3.764500540926978*^9}, 3.764501004841861*^9, 3.76450104258894*^9}, CellLabel->"Out[30]=", CellID->196880143] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[TextData[{ "Scope", "\[NonBreakingSpace]", Cell["(1)", "ExampleCount"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellChangeTimes->{{3.854625284721476*^9, 3.854625285393359*^9}}, CellID->1546831315], Cell["Other data wrappers will remain functional:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7639672568118224`*^9, 3.7639672644762983`*^9}}, CellID->43137903], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "x", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{ RowBox[{"HoldForm", "[", "x", "]"}], "\[Rule]", RowBox[{"Callout", "[", RowBox[{"x", ",", "\"\\"", ",", "Above"}], "]"}]}], ",", RowBox[{ RowBox[{"HoldForm", "[", SuperscriptBox["x", "2"], "]"}], "\[Rule]", RowBox[{"Style", "[", RowBox[{ SuperscriptBox["x", "2"], ",", "Red"}], "]"}]}]}], " ", "|>"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "1"}], "}"}]}], "]"}], "\[IndentingNewLine]", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.7639673618484745`*^9, 3.7639673731243286`*^9}, { 3.7639840003734417`*^9, 3.763984002930625*^9}}, CellLabel->"In[14]:=", CellID->731319049], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt3Qt4FOW9+PGEmxpPIqBBNKIowrFQLfSUENAKYsUCVVBrW7wcU461gJza P1oxVRtFgRRDxVI9qK2Jz6lVlAfFxEvxIBaCJISL4Wa4SCBcgwlJICH3zP+3 eWXczF6yu9ndmZ39fp55fJJ3Z2cnmbD5Onl39vKpD93+QJeYmJiHz5b/3P7L 2TfMmvXLtDt6yid3/ubh6b/+za/uH/+bR37161/NSpnaVQbzYmNi/iwfOD7W AAAAAAAAAAAAAAAAAAAAAAAAAAD+q6+vnzlz5tKlSztcc82aNRkZGTNmzHj2 2Wc/+uijMOwbAAAAoEybNi0mJuahhx7ysk5DQ8PkyZNj2hs7dmxVVZXb9Yvb hGZ/AQAAEF2kOVNTU1WCeq/WRx99VNa55JJLli5dumfPnvfee2/AgAEycu+9 97pd//02odlrAAAARJGcnJykpCT9xKmXam1tbU1MTJR11q1bpw9u375dRs46 66yGhgbXu1CtAAAACIqePXuqv/KnpaV5r9bDhw8PHjz48ssvN4zHx8fLHb/6 6ivXu1CtAAAACIpx48YtW7astbV18eLFHc4QcPXFF1/IveLi4pqamlxvpVoB AAAQXAFUa2Nj4/XXXy/3uu2229yuQLUCAAAguPyt1ubm5ilTpshdevXqtW/f PrfrUK0AAAAILr+qtba29tZbb5X14+Pj165d62k1qhUAAADB5Xu1lpWVJScn y8qJiYn5+fle1pRkzczMfN+d4O04AAAAooiP1bpnz54rrrhC1hw4cKB87H1l qhUAAADB5Uu1Hjx4sF+/frLatddeW15e3uE2CVQAAAAEl9tqrayszMvLKygo UJ+OHj1a1hk5cmRtba0v26RaAQAAEFxuqzUnJ0ddJUA+/uyzz9T7Z8XFxV3g YufOna7bpFoBAAAQXC+++KIU6W9/+1vnwdzcXBns3bu3fLxw4cIYz7Zu3eq6 TaoVAAAA1ke1AgAAwPqoVgAAAFgf1QoAAADro1oBAABgfVQrAAAArI9qBQAA gPVRrQAAALA+qhUAAADWR7UCAADA+qhWAAAAWB/VCgAAAOuTZE1LS8s8Izs7 2+w9AgAAAIykWqVUi88oLy83e48AAAAAI2YIAAAAwPqoVgAAAFgf1QoAAADr o1oBAABgfVQrAAAArI9qBQAAgPVRrQAAALA+qhUAAADWR7UCAADA+qhWAAAA WB/VCgAAAOujWgEAAGB9VCsAAACsj2oFAACA9UmyZmdnlzsxe48AAAAAI6nW NCdSsGbvEQAAAGDEDAEAAABYH9UKAAAA66NaAQAAYH1UKwAAAKyPagUAAID1 Ua0AAACwPqoVAADljTfeeOCBB2bNmtXc3KxGWltbn3zySRmUm8zdNwBUKwAA yr59+xISEmJiYjIyMtTI4sWL5dNevXrt37/f3H0DQLUCAKB7/fXXJVPPOeec 4uLi7du3ywfy6bJly8zeLwBUKwAA7dx5551SqqNGjRo6dKh8MH36dLP3CIAD 1QoAgLOKioqkpKSYNldfffXp06fN3iMADlQrAAAGCxcuVNX617/+1e0KNTU1 Bw8eXO3VhvZK2hw/fjzMXwtgG1QrAADOysvL9XOt8oF86rpOdXX1jh073g7I B23k7hQs4BeqFQAAZz/96U+lV2+++eabbrpJPpBPXdepqanZs2eP93OtHzjx UrCSr7K18H+ZQMShWgEA0GVlZUmpnnfeeaWlpfv374+Pj5dPZbDzW65pU1JS IpkqTWto1w0bNnDqFfBOkjU7O3udE7P3CAAAc+zbt09lqj6d9aWXXpJPZVBu Cu5jqYI15CvtCngh1ZqWlpZ9BtUKAIhaY8aMUXMD9JHW1lY1KP8N0YNKvkqs Gk690q6AK2YIAABgOmlXw8u7JGWZ7wo4o1oBALAIQ7uq+a60K6BQrQAAWIpr u3KdAUCjWgEAsCS37Wr2TgFmoloBALAsw2u1aFdEivr6+pkzZy5durTDNeVH eu7cudOnT09PTy8qKvKyJtUKAIDFSbs6XyOLdoX1TZs2LSYm5qGHHvK+2qJF i7p27RpzRpcuXTIzMz2tTLUCABARaFdEhKqqqtTUVFWh3qt13bp1kqk9evRY vHjxtm3bFixYIAUbGxu7adMmt+tTrQAARJCSkhLnt4ilXWEpOTk5SUlJ+rlT 79U6efJkWScjI0MfmT9/voxMnTrV7fpUKwAAkUW9r5ahXc3eKcChZ8+ekp1j x45NS0vzXq0tLS0JCQmyzqFDh/TBY8eOxcbGxsXFNTU1ud6FagUAIBKpiwyo dv3ss8/M3h3AYdy4ccuWLWttbV28eLH3at29e7es0KdPH8N43759ZXzXrl2u d6FaAQCIXLW1tdu3by8rKzN7R4B2OqzW/Px8WWHYsGGGcRmR8by8PNe7UK0A AAAIrg6rddWqVbLCiBEjDOOjRo2S8ZUrV7rehWoFAABAcPlYrSNHjjSMp6Sk yPjq1atd70K1AgAQ2UpKvq48bfZOAO10WK0bNmyQFYYMGWIYHzx4sIxv3rzZ 9S5UKwAAkWtn1jItJubL1P82e0eAdjqs1uPHj8sKCQkJra2t+qB8HB8fL+Nu p2pLsqalpWW6E5KvAQAABMPy1bvm/TJDkvWbJT3d7D0CvtVhtYp+/frJOlu2 bNFHNm/eLCP9+/d3u75Ua3Z2drE7Qd57AAAQDNKr//n0B+2SNSbm+Lsfmr1f wLfcVmtlZWVeXl5BQYH6dNasWbLOxIkTGxsb5VP57/jx42Vk9uzZbrfJDAEA ACKF6lXXZNXcvXQFMJHbas3JyZHBXr16qU/LysoSExNlJDk5WUp1+PDh8nFS UpKnK7lRrQAAWJ/eqyQrIsKLL74oCfrb3/7WeTA3N1cGe/furY+UlJSkpKTE xsaqd4AdMWLE9u3bPW2TagUAwMqce5VkhS1VVFQUFhaWlpZ6X41qBQDAmgy9 SrIiylGtAABYjWuvyvLK/3uBZEU0o1oBALAO6dVZL3xqPMX6er7jEgEkK6Ib 1QoAgBV46lXH+15lZZGsANUKAIC5vPWqIFmBNlQrAABm6aBXNZIV+BbVCgBA +HXcqxrJCrRDtQIAEE4+9apGsgJGVCsAAOHha69q7ZO1f3+SFdCoVgAAQs+P XtVIVsA9qhUAgNDxr1c1khXwiGoFACAU/O5VkZpKsgKeSLI+4CQzM9PsPQIA ILIF0qsayQp0gHOtAAAES4C9qpGsQMeoVgAAOm9nSblrr8qIjHd8Z0OyAnCH agUAoDM61asayQr4imoFACAwne1VMWYMyQr4iGoFAMBfQehVjWQF/EO1AgDg u+D0qkayAn6jWgEA8EXQelVrn6zyMQAfUK0AAHgXzF7VSFYgQFQrAACeBLlX NZIVCBzVCgCAq+D3qkayAp1CtQIA4CwkvVpSQrICnUS1AgCghKRXNZIVCA6q FQCAUPWqRrICQUO1AgCiWQh7VWtLVr1XZUlNDcI2gWhFtQIAotPXlafnvZ7v 2qtrthwMzgOQrEBQSbJmZ2cXOzF7jwAACK2Q96pYvbpdsqanB23LQLSSak1L S8s8g/OuAAAbC0evai7JmpUVzI0D0YoZAgCAaBCmXtVIViBUqFYAgL2Fr1c1 l2SVTwEECdUKALCrsPaqRrICoUW1AgDsJ9y9KrKySFYgpKhWAICdmNCrGskK hAPVCgCwB3N6VaSnk6xAGFCtAIBIZ1qvitTUb3u1f3+SFQgdqhUAELnM7FWN ZAXCimoFAEQik3tVjBnTLllLSsL0uEC0oloBAJHFU68uX70rfDthSFYAoUe1 AgAihfTqqyuKTO7VkpJ2ySofAwgLqhUAYH2W6FWNZAXMRLUCAKzMKr2qkayA yahWAIA1WahXtbZkdb4oa2qqCfsARDeqFQBgNdbqVbF6NckKmE6SNTMzM/sM ChYAYCLL9armkqzp6abtCRDdVLWuO6O4uNjsPQIARCMr9qrmkqxZWWbuDBDd mCEAADCXRXtVSKM6JytvfQWYimoFAJjFur2qkayA5VCtAIDws3SvitRUkhWw GqoVABBOVu9VzeXdWklWwBqoVgBAeERAr2ouyVpSYvYOARFmx44dc+fOnT59 enp6elFRUYfrFxYWZmRkPPjgg/LfjRs3elmTagUAhFpk9Krhra8kWeGzVtia 7z8JixYt6tq1a8wZXbp0yczM9LL+ww8/LOs4r//II494WplqBQCEjvSqpKnV e1Xj3VoDp4dNyxnNsAX9gPreruvWrZPs7NGjx+LFi7dt27ZgwQIp2NjY2E2b Nrldf/ny5VKqcXFxf/3rX/fu3fvaa6+de+65MvLOO++4XZ9qBQCEQsT0quby bq0kq2+cY1Uip7GxsaFN/Rl1iED64VNHUw6rXrAdtuvkyZOlOTMyMvSR+fPn y8jUqVPdrn/ffffJrU8//bQ+MnfuXBm566673K5PtQIAgiuSelXj3VoDpCdr U1OTFE5tbW1VVVV5efnx48ePnXH06NEjiCjHnMihrKiokMMqB1cOsRxo7+Eq tyYkJEhzHjp0SB+U7cTGxsbFxcndXe9yyy23yPpLlizRR/7xj3/IyA033OD2 IahWAECwRFivarxba4BUujQ3Nzc0NJw6dUraRnr15MmT8qlfcyBhZXJ8JVbl sMrBlUMsB1qOrwx6Ctfdu3dLcPbp08cw3rdvXxnftcvNk8C8efPkpqFDh1ZW Vsqn8hAjR46Ukccee8ztLlGtAIDOi7xe1Xi31gCpU6wqaaqqqr7++muJGbN3 CqElh1gOtBxuOehqwoBruObn50twDhs2zDAuIzKel5fnutna2trx48fLrRdc cMGPfvSjCy+8UD6+6aabVMS6oloBAJ0Rkb2q8dZXAdLPskq9VFRUnDhxwuw9 QvjI4ZaDrsLV9YzrqlWrpDlHjBhhuNeoUaNkfOXKla4brKmpmTlzZkx7M2bM OH36tNsdoFoBAIGJ1F4V6ekka2DUidaGhobKykqSNQrJQZdDLz8ArqdbVbWO HDnScJeUlBQZX+3uX9ltt90mN33nO9+RW2XL8t/vfve7MiLjbh+dagUA+CuC e1Xjra8Cp7/86tSpU8ePHzd7d2AOOfTyA6C/OEsf37BhgwTnkCFDDOsPHjxY xjdv3mwY37dvX2xsbI8ePfbu3asPHjhwQF38aufOna4PTbUCAHwX2b2qkayd ouYG1NXVSbc0NjaavTswhxz6srIy+TFQ8wT0cfmpkNpMSEhwHpSP4+PjZVzu YtjOP//5T7eVe/3113u6ZKska5oHwfv6AAARL+J7lbe+6hw1j7GpqenkyZOc aI1y8gMgPwbyw2CY3dqvXz8Jzi1btugjmzdvlpH+7v65ffHFF3JTz549W1pa nMevueYaGV+1apXrXaRas7Ozy90J3hcHAIhgEd+rWluyyu9N3kegE9T0gMbG xoqKiurqarN3B2aSHwD5MZAfBsMkgVmzZklwTpw4UZ2Kl/+qSwTMnj1brVBZ WZmXl1dQUKBu7d27t9w6Z84cfQtvvfWWercsqWLXx2WGAADAEzv0quZyhSuS NSD69ICjR4/W19d3cmud34LulVde+ctf/pKfnx+sDaJDcvjkx8B1kkBZWVli YqJkZ3JyspTq8OHD5eOkpCR9ekBOTo6M9OrVS3365ptvqusG3HjjjY8//vjP fvazLl26yKcvvfSS28elWgEArmzSqxpvfRU0erUePnzY8CddH+3atUvKZPz4 8X369ImNjR04cOAvfvGLF154oZOXez377LOlcx555JHObAR+kR8A+TFwrVbN 8WeNkpSUFDm+KkdHjBixfft2/dbc3FwZ7N27tz6yYsWK/v3765e9ksSVlPX0 uFQrAMCZfXpVc7koK+8j0AlqUmttbW1paWkAd8/JyTnvvPNi3ElOTj548GDA OxbOas3Kynrsscf+9Kc/heGxLE5+DOSHQU1tdb21oqKisLDQ9x+Vo0ePyvpS wt5Xo1oBAIqtelXjoqxBplfr/v37/b3v66+/rp98u/HGG3//+98vXrz4wQcf vPzyy9VgYmKidE5gOxbOav3Rj34kj3XllVeG4bEsTn4MvFRriFCtAAC79apI TSVZg0uv1pKSEr/u2NzcfPHFF0vsnXXWWW+99ZbzTTU1Nffcc48K17/85S+B 7RjVagr5MaBaAQDhZMNe1bgoa0ioapXO9Lda9+7dq7p00qRJrreeOnWqV69e ap6A660tLS0HDhwoKCjYv3+/1K/b7Xuv1pMnTxYVFX3xxRdVVVXe91Me69Ch Qxs2bPByXa/OV6t8vYWFhR1eOkzfmV27dnl6e9OAt9zht9QX8mMgPwxUKwAg DOzZq1yUNWRUtUoaffXVV37dcdOmTapaf/e737ldIT8//9133zW8T7081tNP P61ekK6cf/75jz/+uIwb7u6pWiXhxo0b5zyB9oYbbnB7qQGJtzlz5vTt21df 89JLL7377rudC/CKK67o2rWrvkLXNq5XyDeQLag1X3755Q8++GD48OHdunXT X3ZkOPOsf+Hp6enOO9O9e/c777xz9+7dnd+yj99SX8iPgXqHLKoVABA69uxV zSVZucJVUAVcrY2Njeecc440koTf0aNHfbzXtGnT3L5064EHHjCs6bZav/zy y549e7reXQZd3ypUtun2saRd9QvmX3LJJa4rDBw40PtXIV+vWvPee++Ni4tz 3cKrr75quMt//dd/ud2Zyy67zPnFSgFs2fdvqS+oVgBASNm2VzUuyhpyAVer 0M95Snq99NJLHf4Ve+HChWr9UaNGvfHGG8XFxW+++aZ8rAafe+4555Vdq1W2 L4Uc03aWMj09ff369fn5+U899ZQ6G3n55Zc778CcOXPUZq+55polS5ZI7r7z zjv6bNvBgwer1UpLS/fs2ZOSkiKDUrB72nR46QO9LWPaTmy+/PLLX7b5/e9/ r87cJiYm1tbW6us/+eSTauUf/OAHkp3yhefm5t5///1q8Hvf+57+/g7+btmv b6kvqFYAQIjYuVc1LsoaDp2p1sOHDw8aNEivLKnH4cOH/+Y3v1mxYoV6EyVn x44dU5eal4x0foOkqqoqaUjVos5vUuBarQ8++KB6oOzsbOctv/LKK2r8D3/4 gxo5cuSIGrn44ovlcZ1Xvu+++9RNn376qT7o77xWvS3POecc9YZQul/96lfq po0bNxp2pn///oa3KJ0+fbq66Y9//GMAW/b3W+oLqhUAEHQ271XN5aKs6elm 75A9daZatbZw/fnPf64K09kFF1wg+fr111/ra6oL0Yu1a9caNiKVq27asGGD PuharT/4wQ9i2i6x5bobw4YNk5smTJhg2KB8YFizsrIyPT1d+nbNmjX6YMDV On78eMNNq1atUjfpc1Clx9TIxx9/bFi5oaFBXYfhzjvvDGDL/n5LfUG1AgCC yP69qnFR1vDpZLUqkoIvv/zyT37yE+fXBIkhQ4boU16feuopNfjuu+/+s71X X31V3fQ///M/+jYN1SqBp9b5/ve//08XSUlJctOFF16oVn7iiSfUyj5eLTbg ak13+Z+p3bt3q5v0CahSyGpEvkuum5o4cWJM2/SGALbs77fUF1QrACAooqJX Na5wFVZBqVZnRUVFTz755L/927+pahpzZiryLbfcEtORX//61/p2DNWqX7LA OxXJP/7xj2PaXnTv4z4HXK0vvvii4aYDBw4Y2nLChAkxbXMV3G5q9uzZzoHt 15b9/Zb6gmoFAHSS216VxW696nqFK5I1xIJercq+ffvOP/98qaYePXrU1dVp Z0pSDHdHjc+ZM0ffgqFa8/Pz9RJze/dLL71UPlDV+pOf/ERG+vbt6+PehqFa PSV0Z6rV32+pL8yq1uzs7GInYXtoAEAQRUuvalzhyhwBV2t1dfWRI0cMr3Vy 9vjjj6umWr9+vf5pt27dVMR2yFCtp0+fVtcKeOKJJzq8r/6n87KyMl8eK6TV ql9AwO0MARXYrjMEfNmyv99SX5hVrWlpaZlncN4VACJOFPWqxhWuTBNwtarX v3ft2tXTm2r9+te/VpW1detW+fTdd991jtgOub4a63vf+56M3HzzzR3e94MP PlCPtWzZMsNNtbW1f/7znxctWlRUVKQPqmq97LLLfNkxzc+21F8Y5dersXzZ sr/fUl8wQwAA4Jfo6lWNK1yZKeBqzcvLU8l03333ub6FqGxNzRCIi4tT1xc9 ePCgWt/58qTKRx99dFUbyTB90LVa9Qv1G658Jfs/adIkubt+eYGysrLY2NiY ttdnOV/DX+hXSf3kk0/0QfVHfHHkyBFfvna/2lJ2QI3079/f8OowL1e+8mXL /n5LfUG1AgB8FHW9qrlc4Uo+RRh1Zl6rfrHWoUOHLlu2rLi4uKamZsuWLS+8 8EJCQoK66aGHHtLXT0tLU4MpKSlSnvKIW7dufeaZZ84991wZlLtUVVXpK7tW 6/79+y+66CL1N/EnnnjiX//6l4xInl177bVqs/r1WkVGRoYavPrqq5csWbJn zx5ZU7/iq2Se8xcyY8YMNT558uSPP/5YVvb+hfvVlprTNQ2GDx/+t7/9bffu 3bIz+lt3XXPNNa7vMuDjlv36lvqCagUAdCgae1WkpnKFK3Pp1bpv3z5/7yuZ +t3vfjfGM6lB57cbkMfS353KQBrV+eSn5uEdXTdv3hwfH+92CxMmTGhoaHBe WW9Rg4svvriwsNB5zU8//dR5Bd/f0dXHthRTp051uzOXXnqp23d09XHLfn1L fSE/BlQrAMCTKO1VjStcWYKq1tra2gCqVWubJvqrX/2qd+/ezr0UGxt75ZVX vvLKK67rS8SmpaVdcMEF+srdunW78847t2/fblhTnS2cPXu2YXzdunVjx451 frjLLrtMGs+QrKK5uXnOnDl9+/bV1+zTp8/tt9+uX0LW2dKlS6+//nq12qBB g7x/1cePH1drLlmyxHDToUOH1E2vvfaa87h8k5988knZAecv/I477ti1q90/ 8wC27Pu31BfyY1BTU0O1AgAMordXXa9w5eEVPQg1vVr379/fme2UlpZKeEhQ rVmzxjDH0pX0pDzcxo0b9+7dK48ewMNVVVUVtTlx4kSHj3XgwAF5LKm+Djd7 8uTJiooKf98F1Xf6zuzcuVPiMLhb7uS3VCkpKZEfBqoVAKCL3l7V2pKVywVY RrCqFfYgPwZUKwBAiepe1bhcgOVInDQ3N58+ffrgwYOdOUcHG2hpaSktLZUf BvmRoFoBIJpFe6+K9PR2yeryTusIP71aDx06pC5RhahVV1cn//NCtQJANKNX HbhcgCWpaq2vrz927Fh5ebnZuwMzyQ+A/BjIDwPVCgBRiF51cH3tFclqGRIn LS0tDQ0NJ06cOHjwoNm7AzPJD4D8GMgPg/xIUK0AEFXoVQcuF2B5+iVb9+/f H8R3tEdkqa+vLykpCf/FWjWqFQBM5alXv648bfauhZfhtVdcLsCSVLVKr5aV lQV21VbYgBx6+QGQHwOqFQCiBL36LS4XEDlaWloaGxtPnTp14MAB5glEITno cujlB0B+DOSHIcyPTrUCQJjRq+1wuYCIor8m68SJE3v37vXlgvywjcOHD8tB l0Mf/tdhKVQrAIQNvWrkPJGVywVECDVP4PTp0xUVFfv27SsuLj516pTZO4XQ kkMsB1oOtxx0OfThnxugSLJmZma+f8a6devCvw8AYHv0qhGXC4hkerieOHGi tLR069atkjRHjhypqakJ/1+NESJyKOWAymGVgyuH+MCBA3K4TUxWjWoFgBCj V90wvFWrJCsijSSNmipw6tSp48ePS9JI22zevHnDhg35+fmSE3lt1iKiqKMm h08OohxKOaByWOXgyiGWA60mBpj4PybMEACAEKFX3eNyAXah5rg2NDTU1dVJ 0lRWVn799dfHjh070ubw4cOHEIHkwKkjKIdSDqgcVjm4cojlQJsyl9UZ1QoA QUevesRrr2ynuU1TU5NUTX19veRN7Rk1iED64ZNDKQdUDqscXHWUzf5Zo1oB IJjoVW947ZV9qQkDsCXrzFWmWgEgKOhVb3jtFYBOo1oBoJPo1Q7w2isAwUC1 AkDA3PbqvNfz6dVv8dorAEFCtQJAAKRXZ73wKb3aAV57BSB4qFYA8Au96ite ewUgqKhWAPARveorXnsFIASoVgDoEL3qByayAggNqhUAvKBX/ZOVRbICCBGq FQDcolf9xmuvAIQS1QoABvSq3wwTWXntFYAQoFoBQEevBkKStX9/XnsFINSo VgDQ6NWA8dorAOEiyZrmJDMz0+w9AoCwolcDx0RWAGEk1ZqdnV1+htm7AwDh Q68GjomsAMKOGQIAohC92im8iQAAM1CtAKLKzpJy116VERk3e9ciBBNZAZiE agUQJejVIDBMZE1NNXuHAEQRqhWA7dGrwWGYyJqVZfYOAYguVCsAG6NXg4OJ rAB8tmPHjrlz506fPj09Pb2oqKjD9Y8ePfrCCy/MnDnzsccee/vtt1taWjyt SbUCsCV6NWgME1klWQHAg0WLFnXt2jXmjC5duni/qup7770XHx8f4yQ5Ofnk yZNuV6ZaAdgMvRpMTGQF4LN169ZJpvbo0WPx4sXbtm1bsGCBFGxsbOymTZvc rr9r166zzz5bSvWRRx7Zs2fPJ598MmjQIPl02rRpbtenWgHYBr0aTK5XZGUi KwCvJk+eLM2ZkZGhj8yfP19Gpk6d6nb9e++9V26dOXOmPlJYWCgj559/vtt5 AlQrABugV4NMkrV/fyayAvCddGZCQoI056FDh/TBY8eOxcbGxsXFNTU1GdZv bm6Oj4/v0qVLWVmZ83hubm5eXp7bh6BaAUQ0ejX4srK4IisAf+3evVuStU+f Pobxvn37yviuXbsM419++aWMDx06tLW1ddWqVfPmzVu0aNH69eu9PATVCiBC 0ashYZjIKp8CNtXaGvgCV/n5+VKhw4YNM4zLiIy7nj798MMPZfyGG2648cYb nV+Ndffdd58+7f5tCqlWABGHXg0J14mszAqATenx2XJmaW7peNFXpl3dWrVq lTTniBEjDOOjRo2S8ZUrVxrGly5dqjI1Njb2/vvvf+utt5566qm4uDgZefTR R90+BNUKIILQq6HienkrkhV25NyrEqKNzVpD21Lf5FjqPCzqVrWm3EUVLO1q oKp15MiRhvGUlBQZX+3ylPLGG2+oan3mmWf0wY8++khGunfvXl1d7foQVCuA iECvhhATWREd9F5tautVydHaRu1Ug1Zdr1XVaZVty4nTWoXTIp+qcVlBVpOV 5S5yR7l7k1O7QmzYsEGCc8iQIYbxwYMHy/jmzZsN4ytWrFAXdK2pqXEeHzhw oIzn5+e7PoQka3Z2drk7wf1aACAwX1eenvd6Pr0aKoZZAUxkhU3pyap69WC1 Nu9f2oT/1a7+i3bVC74usvLEv2sL1jrurtqVcNUdP35cajMhIaHV6dshH6s3 ETBcKEBIx8p4t27dDJcXuPbaa2U8NzfX9SGkWtM8CMVXBAC+89Sra7YcNHvX bIH3aUU00ZP1dKO2fIf2Hy9p/74o8OX7Lzk2IpvSwxWiX79+EpxbtmzRR1Sa 9nf3nnr19fVqFuvGjRv1QSnYCy+8UAa3bt3qehdmCACwIHo15FwnskrEAjal Toc2tThOkEptSnYO6vQiG5FNyQZls5xuVWbNmiXBOXHixMbGRvlU/jt+/HgZ mT17tlqhsrIyLy+voKBAfXrPPffIrSkpKXV1dWrkueeek5EBAwa0uvuGUq0A LIVeDQfepxVRprXttVcNzdr+Sm3oi9rA54OzyKZKKh2bbW6hWh3KysoSExMl O5OTk6VUhw8fLh8nJSXp0wNycnJkpFevXurT0tJStf7QoUPT09PvuOMOdUmB FStWuN0+1QrAIujVcOB9WhF99BOttY3a3H9pVz4fzGXOasdmOd2qKykpSUlJ kfJU1wcYMWLE9u3b9Vtzc3NlsHfv3vpIcXHx6NGj9fX79ev39ttve9o41QrA dPRqmHB5K0QlNaO1oVk7Wa+Ne10b8KdAlklvaB/u0rYd0x7/pN34TdmOzTYw u7W9ioqKwsLC0tJSH9c/fPhwQUHBzp07Xd/41RnVCsBE9Gr4GGYFcHkrRA01 PaCuyXElq0GLtMsXBrJIr+pu+fu34wOfd2xWNs4kgTCgWgGYgl4NH9dZAVze CtFEr9bjNVr/zECWjDXtNnj3O+1ulc1SreFBtQIIM3o1rCRZmRWA6KZPai2r 0S59zu/lulccbzGgO1BlXEE2q09tdbVgwYIRbT755BPn8c8//1yNjx07tqGh IcTfA5ugWgGEDb0abrzpFeBUrUdPav0W+L2s3d9ua1OWGleQzXqp1s2bN6uX Gl133XX6YFlZWVJSknq9/PLly0P8DbAPqhVAGNCrJmBWANBGVWtNg3bkpJb0 R/+WRz9ut6kX892sI5uVjXuqVjF58mT1Avm1a9fKp83NzWPGjFEjzz77bOi/ AfZBtQIIKXrVBCUljpkAzAoA2ujVerhauyjDj+WqRe3mBuyvdIy4riabPeW1 WouKitTp1kmTJsmnv/vd71Sy3nXXXWH5BtgH1QogROhVcxhmBfCmV4h6qlol LA9Va33nt1v+/XntZ286/msYV8v7X7bbjqzpdrVDHVWr+OlPfyqZ2qVLl4yM DJWsycnJ+htCwUdUK4Cgk159dUWRa68uX73L7F2zO8OsAN70CmHxWs7WMC9+ 7Z5ztfaZ9+0y6E+O06eisk676bV2N8lyf/vZpn9eb1xBX3yp1m3btkmyxpyR lJR05MiRAL7VUY5qBRBE9KppDLMCZGFWAMLF8E8+DItfu+dcrRfM/XaZ8+m3 60i43vi3b2+6cuE3QavIxzLifF/nxZdqFXfeeadK1ri4uI0bN/r1JUChWgEE Bb1qJmYFwFQRVK29n/12+X/tN/PFEe2KzG9uWvR5u5tue6PdHQ2LL9VaXV09 ZMgQVa2jR4/2a/+ho1oBdBK9ajJmBcBskTJD4HC11vOZdsvqfe3W3HLEMTj5 7+0Gn19nvJdh6fDVWE1NTT/+8Y9jnOTn5/v1JUCRZM3Ozl7nxOw9AhAx6FWT MSsA8IFztZ43p91y2QJHqTrL2tRupOSEYx3DvQxLh9U6bdo0FavXXXdd165d 5YNx48aF8Au2L6nWtLS07DOoVgC+oFfNl57OrADAF/q7DEhexj9tXPr90TGp 1ZNb/9fNXQyLbNbLuwwsXLhQJevQoUNra2t//vOfO1+7FX5hhgAAv9Cr5pM6 ZVYA4DPn98Y69yk3y3Uvuw/XhXnu1zcsXt4b691331WXDkhMTDxw4ICMbNy4 UVXrDTfcEPov3W6oVgA+olctgXcQAPwkMdncop1u1I6d0uKecr/c87bxXvtO aBdneFzfeZHNysabXaq1sLAwLi5OArV79+5r1qzRxydMmKDC9dNPPzU+Kryi WgF0iF61CmYFAP7Tq7WsRkuYo52d7n55sH0NTXjd45rOS+9nHZt1rdbq6uqL LrpI1emSJUuct7x+/Xo1fvPNN4flG2AfVCsAL+hVq3CdFSAFC8AHqlrrm7SK 09rVf9bO+oPH5fGV2onTjmXG+95Wc15kg7JZ2bjruVYEHdUKwC161UJWrzae YmVWAOAzicmWVq2hWauq036Tq3V/MpjLgzmOzcrG5SGo1lCjWgEY0KvWYpgV MGaM2TsERB7pycZmraZBKzrquFZVtyeCs8imZIOyWdk4yRoGVCsAHb1qLcwK AIJETRKoa5sk8GK+1u1JresTnV1kI7Ip2WAd0wPChWoFoLX1qqQpvWohrm/S yqwAoBNazpxuPXrS8XZX//aU1uXxwBe5+6LPHZtSJ1pbSNawoFqBKEevWpHh FCuzAoBOU6dbG5q1k/WO2lxfqv1ymXbFc1r3J7TY3/u6nPMHbdBC7f7lWsFB x0ZONTg2yInWsKFagahFr1qR65u0MisACBI9XGsatPJa7VC1trtc23ZM++KI tvGQtuHgN0uB06IPbjrsWE1WlrvIHeXuNSRr2FGtQBSiVy3K9XKszAoAgkqF a2OzYzLqqQbHrNTjNY63CThy0vHGrIc8LHKTrCCryconTjvuKHdvJFnDjmoF ogq9alG88AoII6lN1a71TY5FErS20bHUNLhZ1E2y1DV9s77qVVkQZlQrECXo VevicqyAGVpav4lPfxdee2UWqhWwPXrV0rgcKwD4hmoFbIxetTReeAUA/pBk TUtLyzwjOzvb7D0CEAT0qtXxwisA8JNUq5Rq8Rnl5eVm7xGATqFXrc71hVep qWbvEwBEAGYIALZBr0YA3vEKAAJFtQI2QK9GANdTrLzwCgD8QbUCEY1ejQyG a1vxwisA8B/VCkQoejVi8MIrAAgGqhWIOPRqxOAdrwAgeKhWIILQq5GEU6wA EFRUKxAR6NVIwguvACAEqFbA4ujVCMMpVgAIDaoVsCx6NcJwihUAQolqBSyI Xo08XNsKAEKMagUshV6NPK6nWPv3dwwCAIKKagUsgl6NSJxiBYBwoVoB09Gr kYoXXgFAGFGtgIno1UgldSqNyilWAAgjqhUwhdtelYVejQCcYgUAM0iyPuAk MzPT7D0CbI5ejWCcYgUA83CuFQgbejWycYoVsJfW1sAXmIJqBcKAXo1snGIF 7EWPz5YzS3NLx4u+Mu1qFqoVCCl6NeJxihWwEedelRBtbNYa2pb6JsdS52FR t6o15S6qYEPRrnl5eUuWLHn++ec/+OCDurq6YG7aFqhWIETo1YjHKVbAXvRe bWrrVcnR2kbtVINWXa9V1WmVbcuJ01qF0yKfqnFZQVaTleUucke5e5NTu3Ze RUXF9ddfH+PkiiuuKCwsDMKmbYRqBYKOXrUDTrEC9qInq+rVg9XavH9pE/5X u/ov2lUv+LrIyhP/ri1Y67i7atdghetPf/pTKdVrr732H//4x//93/9NmTJF Pu3fv39tbW0wvnqboFqBIKJX7YBTrIAd6cl6ulFbvkP7j5e0f18U+PL9lxwb kU3p4doZp06d6tatW9euXY8cOXJmb1uvvPJKCdfPPvssCF98eO3YsWPu3LnT p09PT08vKiry/Y4ffvjhI4884uUuVCsQFPSqHZSUcIoVsCV1OrSpxXGCVGpT snNQpxfZiGxKNiib7eTp1v379//nf/7nww8/7Dyozr6+9dZbnf3iw2vRokWS 3/o8hy5duvh4VdWSkpLzzjtP7rJ06VJP61CtQCfRqzYhdercq5xiBWykte21 Vw3N2v5KbeiL2sDng7PIpkoqHZttbgnyy7KqqqrOOeccSbji4uJgbjfE1q1b J5nao0ePxYsXb9u2bcGCBVKwsbGxmzZt8n7H5ubmH/7whyp0qVYgFOhVmygp 0caM4RQrYFf6idbaRm3uv7Qrnw/mMme1Y7OdP91q8Mtf/lL67ZZbbgnaFsNi 8uTJstsZGRn6yPz582Vk6tSp3u84b948/fQs1QoEF71qH1lZnGIF7E3NaG1o 1k7Wa+Ne1wb8KZBl0hvah7u0bce0xz9pN35TtmOzDcGY3aq0tLTMnDlT4u2i iy7Sp7lGBNnzhIQE2fNDhw7pg8eOHYuNjY2Li2tqavJ0x40bN3bv3n3QoEGT Jk2iWoEgolftg1OsQHRQ0wPqmhxXshq0SLt8YSCL9Krulr9/Oz7wecdmZeNB mSRQV1d3++23S7ldcsklkTU3QOzevVv2vE+fPobxvn37yviuXe5/S9bW1l51 1VXdunUrKChQV06gWoGgoFftw/CqK06xAvalV+vxGq1/ZiBLxpp2G7z7nXa3 ymaDUq0nT54cPXq0ZNvVV1998ODBTm3LDPn5+bLzw4YNM4zLiIzn5eW5vdf0 6dPl1vS2Z2CqFQgKT736deVps3cNfnJ7ilUGAdiUPqm1rEa79Dm/l+tecbzF gO5AlXEF2aw+tdXVggULRrT55JNPnMc///xzNT527NiGhoaKiorhw4dLs40b N666ujrE35KQWLVqley/fEWG8VGjRsn4ypUrXe+Sm5sbGxubnJys5g9QrUAn 0au2wilWIPro1Xr0pNZvgd/L2v3ttjZlqXEF2ayXat28ebOEmcTYddddpw+W lZUlJSXJoNy0fPlyGfnFL34hn95+++1e5n9anKrWkSNHGsZTUlJkfLXL/Cv5 Jlx44YVxcXH6XAiqFQgYvWorrqdY5VNOsQJRQFVrTYN25KSW9Ef/lkc/brep F/PdrCOblY17qlbtzCvrxdq1a7W2qzyNGTNGjTz77LMysmbNGvXpNddcM7K9 nJyckH+DgmTDhg3yJQwZMsQwPnjwYBmXejeM33HHHSrUV56hJkikpaXJxydO nHB9CEnW7Ozsde6E6qsCLI9etRW37x3AKVYgaujVerhauyjDj+WqRe3mBuyv dIy4riabPeW1WouKitTp1kmTJsmnv/vd71Sj3nXXXWqFP/zhDzEevPzyyyH/ BgXJ8ePHZYcTEhJanb4R8nF8fLyMl5WVGdYfMGCAp6/a04wCqVZp2mx3Qvu1 AZZEr9qN63sHjBlj9j4BCCtVrRKWh6q1vvPbLf/+vPazNx3/NYyr5f0v221H 1nS72qGOqlU780ZXXbp0ycjIUFWWnJxcV1fn8Q6RqV+/fvKlbdmyRR/ZvHmz jPTv39915Weeeea/2xs4cKCsfPPNN8vHbq85wAwBQKFX7YYLWwFh88AD4V78 4VytfeZ9uwz6k+P0qais0256rd1Nsty/vN1G/rzeuIK++FKt27Ztk2TVTyQm JSVF1rVYfTRr1iz56iZOnNjY2Cifyn/Hjx8vI7Nnz1YrVFZW5uXlFRQUuL07 81qBDtGrNsSrroBwMvxzC8PiD+dqvWDut8ucT79dR8L1xr99e9OVC78JWkU+ lhHn+zovvlSruPPOO1WyxsXFbdy40a8vIVKUlZUlJiaqM8lSquqqCJLo+vSA nJwcGenVq5fbu1OtgBf0qg1xihUIv8ip1t7Pfrv8vw/arfbFEe2KzG9uWvR5 u5tue6PdHQ2LL9VaXV09ZMgQVa2jR4/2a/8jS0lJSUpKiprHqy6EtX37dv3W 3NxcGezdu7fb+959991y69tvv+1p41QrohO9akOur7riFCsQHhEyQ+Bwtdbz mXbL6n3t1txyxDE4+e/tBp9fZ7yXYenw1VhNTU0//vGPnV9qlJ+f79eXEHEq KioKCwtLS0uDu1mqFdGGXrUnt6+64sJWANpX63lz2i2XLXCUqrOsTe1GSk44 1jHcy7B0WK3Tpk1TsXrdddd17do1pu2tBEL4BdsX1YroQa/aE1MCAHilv8uA 5GX808al3x8dk1o9ufV/3dzFsMhmvbzLwMKFC1WyDh06tLa29uc//7nztVvh F6oV0YBetS2mBADoiPN7Y537lJvlupfdh+vCPPfrGxYv74317rvvqksHJCYm HjhwQEY2btyoqvWGG24I/ZduN1Qr7M1tr857PZ9ejXglJY5zqpxiBdARicnm Fu10o3bslBb3lPvlHpcXAO07oV2c4XF950U2KxtvdqnWwsLCuLg4CdTu3buv WbNGH58wYYIK108//dT4qPCKaoVdSa/OeuFTetWGeNUVAH/o1VpWoyXM0c5O d7882L6GJrzucU3npfezjs26Vmt1dfVFF12k6nTJkiXOW16/fr0av/nmm8Py DbAPqhX2Q6/amWuv8qorAF6paq1v0ipOa1f/WTvrDx6Xx1dqJ047lhnve1vN eZENymZl467nWhF0VCvshF61M151BSAgEpMtrVpDs1ZVp/0mV+v+ZDCXB3Mc m5WNy0NQraFGtcIe6FU7Y0oAgM6Rnmxs1moatKKjjmtVdXsiOItsSjYom5WN k6xhQLUi0tGrNseUAACdpiYJ1LVNEngxX+v2pNb1ic4ushHZlGywjukB4UK1 InLRqzbHlAAAwdNy5nTr0ZOOt7v6t6e0Lo8HvsjdF33u2JQ60dpCsoYF1YpI RK/aHFMCAASbOt3a0KydrHfU5vpS7ZfLtCue07o/ocX+3tflnD9ogxZq9y/X Cg46NnKqwbFBTrSGjSRrZmZm9hkULCyOXrU/pgQACA09XGsatPJa7VC1trtc 23ZM++KItvGQtuHgN0uB06IPbjrsWE1WlrvIHeXuNSRr2KlqXXdGcXGx2XsE uEev2t/q1W7eOCAry+zdAmAfKlwbmx2TUU81OGalHq9xvE3AkZOON2Y95GGR m2QFWU1WPnHacUe5eyPJGnbMEID10av2V1KipaYyJQBAeEhtqnatb3IskqC1 jY6lpsHNom6Spa7pm/VVr8qCMKNaYWX0alRgSgAAM7S0fhOf/i689sosVCus yW2vygi9aitupwRwlQAAgDtUK6xmZ0m5216VcbN3DcHj9qpWTAkAAHhGtcI6 6NWowFWtAAABoVphBfRqtHDtVaYEAAB8Q7XCXPRqtHA7hZVTrAAAn1GtMAu9 Gi1cp7AyJQAA4D+qFeFHr0YLt1NYuaoVACAgVCvCiV6NIkxhBQAEFdWK8KBX owhTWAEAIUC1ItTo1SjCFFYAQMhQrQgdejWKSK+mptKrAIDQoVoRCvRqFHH7 kiumsAIAgo1qRXDRq9HFba9mZZm9WwAAG5JkTXOSmZlp9h4hUn1deXre6/n0 arSQXuUlVwCAMJJqzc7OLj/D7N1BRPLUq2u2HDR71xACrpcIYAorACD0mCGA zqBXo4vbSwSkpvKuAQCAMKBaERh6Nbp4eskVvQoACBeqFf6iV6MLlwgAAFgD 1Qrf0atRx22vMoUVAGAGqhW+oFejDr0KALAYqhXe0atRx7VXuUQAAMACqFZ4 Qq9GnawsLmkFALAsqhWu6NWo4/YSrFzSCgBgJVQrnNGrUcftJVhlhF4FAFgM 1QqFXo06bnuVS1oBAKyKagW9GnWkV1NT6VUAQGShWqOZ9OqrK4pce3X56l1m 7xpCw1OvZmWZvWcAAHSAao1O9GrU8dSrXCIAABAhqNZoQ69GHXoVAGALkqzZ 2dnFTszeI4QKvRp16FUAgI1ItaalpWWewXlXW6JXo470Km/JCgCwF2YI2Bu9 GnXoVQCATVGtdkWvRh16FQBga1Sr/dCrUYf5qwCAKEC12gm9GnXoVQBA1KBa 7YFejTqe3o+VXgUAmGrHjh1z586dPn16enp6UVFRh+uvWbMmIyNjxowZzz77 7EcffeRlTao10tGrUWf1aked0qsAAOtZtGhR165dY87o0qVLZmamp5UbGhom T54c097YsWOrqqrcrk+1Ri56NepIl9KrAACrWrdunWRqjx49Fi9evG3btgUL FkjBxsbGbtq0ye36jz76qGTqJZdcsnTp0j179rz33nsDBgyQkXvvvdft+lRr JKJXo46nXs3KMnvPAAD4hjpxmpGRoY/Mnz9fRqZOneq6cmtra2JiotwqrasP bt++XUbOOuushoYG17tQrZFFelXSlF6NFm4vZkWvAgCsp6WlJSEhQZrz0KFD +uCxY8diY2Pj4uKampoM6x8+fHjw4MGXX365YTw+Pl428tVXX7k+BNUaKejV 6OKlV1evNnvnAAAw2r17t9Rmnz59DON9+/aV8V27fMqVL774QlZ2W7ka1RoJ 6NXo4qlXx4xx3AQAgCXl5+dLcA4bNswwLiMynpeX1+EWGhsbr7/+eln5tttu c7sC1Wpl9Gp0cXvxVVkkYulVAIC1rVq1SoJzxIgRhvFRo0bJ+MqVK73fvbm5 ecqUKbJmr1699u3b53YdqtWa6NXowsWsAAARTlXryJEjDeMpKSkyvtrr9Lba 2tpbb71VVouPj1+7dq2n1ahWq6FXowsXswIA2MKGDRskO4cMGWIYHzx4sIxv 3rzZ0x3LysqSk5NlncTExPz8fC8PQbVaB70aRby82IpeBQBEoOPHj0t5JiQk tLa26oPysbomgKSp23vt2bPniiuukBUGDhwoH3t/CEnWzMzM990J5lcCr+jV KMLFrAAANtWvXz/pzy1btugjmzdvlpH+8jvOnYMHD6q7XHvtteXl5R1un2o1 F70aRTy92IqLAwAAbGHWrFmSoBMnTmxsbNTargkwfvx4GZk9e7ZaobKyMi8v r6CgQH06evRoNRW2trbWl+0TqGahV6OIl8mr9CoAwC7KysrU210lJydLqQ4f Plw+TkpK0qcH5OTkqKsEyMefffZZTJu4uLgLXOzcudN1+1Rr+NGr0YLJqwCA KFNSUpKSkhIbG6uKdMSIEdu3b9dvzc3NlcHevXvLxwsXLozxbOvWra4bp1rD iV6NFkxeBQBEsYqKisLCwtLS0uBulmoND3o1WridDMA7BQAA0GlUa6jRq1GB yQAAAIQY1Ro69GpU8HRlAHoVAICgolpDgV61P3Vy1e1kACavAgAQAlRrcNGr 9ud9MgCTVwEACA2qNVjoVftjMgAAAOahWjuPXrU5TydXuTIAAABhRLV2Br1q c5xcBQDAMqjWwNCrdubl5CqvtAIAwCRUq7/oVTvzfnKVyQAAAJiHavUdvWpb 3k+uMhkAAAALoFp9Qa/aVlYWJ1cBAIgIkqxpTjIzM83eI2tx26uy0KuRjZmr AABEGqnW7Ozs8jPM3h0LoVdtyPsbWnFyFQAAC2OGgCt61YY8vcyKk6sAAEQI qtUZvWo3vMwKAAC7oFoVetVWmAkAAIDtUK30qq1IkXqZCcDJVQAAIlY0Vyu9 ah8dzgTg5CoAABEuOquVXrWJDmN19WqzdxEAAARHtFUrvWoHXqatyjJmDNcE AADAfqKnWunViKdiVaKUaasAAESfaKhWejWy+RKrTFsFAMDu7F2t9GoEI1YB AIATu1YrvRqpfIlVXmMFAED0sWW10quRh1gFAABe2axaPfXq15Wnzd41uONL rHJBAAAAYKNqpVcjCbEKAAD8JMmanZ1d7sTsPfIbvRoxvF9nlVgFAACeSbWm OZGCNXuP/ECvRgYv72BFrAIAAN9E6AwBetXqpFQlRDuMVV5gBQAAfBNx1Uqv Wpr3CavEKgAACFQEVSu9al3eJ6zypgAAAKDTIqJa6VUrUqWamuqxVGUZM8ax DgAAQKdZvFrpVcthDgAAADCDZauVXrUQX06rMgcAAACEkgWrlV61BOnP1as7 nq0qKcscAAAAEHqWqla3vfrqiiJ6NXw6nADAHAAAAGAGi1Sr9OqsFz419Oq8 1/Pp1XDwvVQ5rQoAAExierXSq+ZQperlXQA4rQoAAKzExGqlV8ONUgUAABHL lGqlV8PHr1JlAgAAALCqMFcrvRoOvsxTpVQBAEBECVu10qshpF+lypdSVdeq 4sKqAAAgooShWunVkJDszMqiVAEAQJSQZM3MzHz/jHXr1gVx4/RqMPl+QpW/ /gMAANsJUbXSq8Ghv5bK0xtUOY/z2n8AAGBfQZ8hQK92ip6pPp5QldUoVQAA EAWCWK30aiD8ylT+9A8AAKJVUKqVXvWVNGoAmapeS8UJVQAAEMU6Wa1ue1VG 6NVv+P5Kf/7uDwAA4FnA1bqzpNxtr8p40HcyYugv809N9S9TOZsKAADgVQDV Sq9+Q29Uv06lkqkAAAD+86tao7dXDYHq6TpU3v/iT6YCAAAEysdqjaJeVS+Y UpNR/T2JqhpVf5m//41a3iYEXxUCweGwFA6HpXA4LKW4uNjsXQDCocNqtXOv Gs6g+huoeqMG78/92dnZwX17MnQGh8NSMjMz+dVsHRwOS0lLS+N/IhANvFSr TXpVnTvV69Sv10mF/W/9ZJKlcDgshUyyFA6HpVCtiBJuqzXyetVtmvo1+9Rt oOonUWXjYUEmWQqHw1LIJEvhcFgK1YooYajWUPSqPLPJ81un9lKPUn26qepS p7OmDzzwQIB1qv+Jv6NADcOzdBgySbYvjxLSh5AnT3kKDelDaGF5lrbH4QjC P0AfOP4BhlgY/gEG/R2uXXE4fGePf4C2eT4ErEB/lg7d+VWPz9J6izrnqHOR +nOytINqVXWq/31fHs7/P/HzLO0j2zxL2+NwkEm+o1p9x/Ohj2zzfAhYgTxF L1ic7V+vqtrUF5Wdenw692dbgu6aMiVz5swAQtSvxfEsraepOneq0jR4f9zn WdpHtnmWtsfhIJN8R7X6judDH9nm+RAwX3r6+//xH6/dOOHrnhc6L9/kn1o6 3ZO7Lroo8yc/CUKaGqJU79K2s6Y8S/uIZ2nf2eNwkEm+o1p9x/Ohj2zzfAiE VGZHHnvymcfu/a+0KVNkkaoM3RKEh5g5s8MvR56lO1ynk8LwEGlteAhfcDis 8xCZ/AO00kNkcjii7CEyO3E4zE4V4BvFPtg1ZUrWmDGy7Lroos4uI0d+u0yZ 8s2SliZL8ZIl3ywff+xYAACABZidKoA/Vq9e8PBTOQ8//M18VOfFebaq8+I8 oxUAAAAIizDM4wIAAAA6iWoFAACA9VGtAAAAsD6qFQAAANZHtQIAAMD6qFYA AABYH9UaTjt27Jg7d+706dPT09OLiop8ucuaNWsyMjJmzJjx7LPPfvTRR6He w6gSwOHQffjhh4888oi/94IXARyOo0ePvvDCCzNnznzsscfefvvtlpaWUO9k 9AjgcBQWFsqT1YMPPij/3bhxY6j3MArV19fLT/vSpUt9Wbkzz2+AZVGtYbNo 0aKuXbvGnNGlSxfv70vS0NAwefLkmPbGjh1bVVUVtn22MX8Ph7OSkpLzzjtP 7uXjrw90KIDD8d5778XHxzv/60hOTj558mR4dtjeAjgcDz/8sKzmfBf537rw 7G30mDZtmnxvH3rooQ7X7MzzG2BlVGt4rFu3Tp43evTosXjx4m3bti1YsECe UmJjYzdt2uTpLo8++qg821xyySWSRnv27JHf0QMGDJCRe++9N5x7bksBHA5d c3PzD3/4Q/W7gGoNigAOx65du84++2w5BJJG8q/jk08+GTRokHwqv9bDuee2 FMDhWL58uXzz4+Li/vrXv+7du/e1114799xzZeSdd94J557bWFVVVWpqqnra 6bBaO/P8Blgc1Roe6qxpRkaGPjJ//nwZmTp1qtv1W1tbExMTZQV5/tEHt2/f LiNnnXVWQ0NDyPfY1vw9HM7mzZunn8GgWoMigMMh/+8mK8ycOVMfKSwslJHz zz+feQKdFMDhuO+++2SFp59+Wh+ZO3eujNx1112h3dfokJOTk5SUpD/tdFit nXl+AyyOag0D+TWakJAgTxqHDh3SB48dOyb/8xsXF9fU1OR6l8OHDw8ePPjy yy83jKs/iX711Veh3WNbC+Bw6DZu3Ni9e/dBgwZNmjSJag2KAA5Hc3Oz/EPo 0qVLWVmZ83hubm5eXl7I99jWAvvXccstt8hdlixZoo/84x//kJEbbrgh5Hsc BXr27Kmmh6WlpXVYrZ15fgOsj2oNg927d8tzSJ8+fQzjffv2lfFdu3b5uJ0v vvhC/RmOZ57OCPhw1NbWXnXVVd26dSsoKJgyZQrVGhQBHI4vv/xSbho6dGhr a+uqVavmzZu3aNGi9evXh2V/bS6wfx3qDxByRCorK+XTU6dOjRw5UkYee+yx kO9xFBg3btyyZcvkp33x4sUdVmuwft0A1kS1hkF+fr48XQwbNswwLiMy7uPZ ocbGxuuvv17Wv+2220Kwj1Ek4MMxffp0WSE9PV0+plqDJYDD8eGHH6rzeDfe eKPzq7Huvvvu06dPh2WvbSuwfx3yP3Tjx4+XFS644IIf/ehHF154oXx80003 qYhFsPhSrUH5dQNYFtUaBqtWrZKnixEjRhjGR40aJeMrV67scAvNzc0qk3r1 6rVv377Q7Ga0COxw5ObmxsbGJicnqxPdVGuwBHA45NuuMlWOyP333//WW289 9dRTcXFxMvLoo4+GZa9tK7B/HTU1NTNnzoxpb8aMGfxPRHD5Uq2d/3UDWJkk 6wNOuDhGKKinkZEjRxrGU1JSZHz16tXe715bW3vrrbfKmvHx8WvXrg3VXkaN AA5HWVnZhRdeKF1UXFysRqjWYAngcLzxxhuqi5555hl98KOPPpKR7t27V1dX h3SH7S2wJ6vbbrtNbv3Od74jK5w4cUL++93vfpc/DAWd79Ua8K8bwOI41xoG GzZskKeLIUOGGMYHDx4s45s3b/ZyX+ml5ORkWS0xMTE/Pz+UuxktAjgcd9xx h9x0++23rzxj9OjRMpKWliYfy6/psOy4PQVwOFasWBHTdgnKmpoa5/GBAwfK OP9MOiOAw7Fv377Y2NgePXrs3btXHzxw4IC6+NXOnTtDu8fRxJdq7cyvG8D6 qNYwOH78uDxdJCQktLa26oPysboggOF10M727NlzxRVXyDry61g+DsvO2l8A h0NdKdcT/ujWGQEcDvnNKzd169bN8LLEa6+9VsZzc3NDvtP2FcDh+Oc//+k2 k9Q8fC7ZGkS+VGvAv26AiEC1hke/fv3kGWPLli36iPrN279/f093OXjwoLqX /C4uLy8Py25GC38PxzPPPPPf7anTejfffLN8zMtyO8nfw1FfX69msTq/bagU rHoR0NatW0O+x7bm7+FQ1zbp2bOn4Uq511xzjYyvWrUqtLsbTXypVi2gXzdA pKBaw2PWrFnypDFx4sTGxkat7YIA6iW3s2fP1teprKzMy8srKChQn6q/QY8c ObK2ttacnbavDg+H4Vi4Yl5rEAVwOO655x5ZISUlpa6uTo0899xzMjJgwADn U0wIgL+HQ1bo3bu3rDBnzhx9I2+99VZM22X6eI/dIHJbra7/Onz5dQNEqPI2 Zu+F/ZWVlan3ukpOTpanjuHDh8vHSUlJzn+vycnJiWm7SoB8/Nlnn6m/PsvT /gUumCrWSR0eDudj4RbVGkQBHI7S0lJ1l6FDh6anp6uJx7GxsStWrDDpi7CP AA7Hm2++qZ6vbrzxxscff/xnP/tZly5d5NOXXnrJpC/CntxWq+vh8OXXDQB4 V1JSkpKSIr9Y1dP7iBEjtm/f7rxCbm6ujPfu3Vs+XrhwoZeJlPwNtPO8Hw7n Y+HW3XffLSu8/fbbYdlZ+wvgcBQXF48ePVq/S79+/TgcwRLA4ZD/X+jfv7/+ HCWNJCkb9h23uRdffFG+t7/97W+dB90ejg5/3QCALyoqKgoLC0tLS83eEThw OCwlgMNx+PDhgoKCnTt38oZxQRfA4Th69KjcRQ5K6PYKvuP5DQAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIGr9f0/C d4M= "], {{0, 226.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 226.}, PlotRange->{{0, 457.}, {0, 226.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.763967358218152*^9, 3.7639673773699446`*^9}, 3.7639756687069654`*^9, {3.763977404913025*^9, 3.76397741780556*^9}, { 3.763983968658617*^9, 3.7639839714671173`*^9}, {3.7639840038944235`*^9, 3.7639840069443007`*^9}, 3.764500566033396*^9}, CellLabel->"Out[15]=", CellID->137699226] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Options", "\[NonBreakingSpace]", Cell["(1)", "ExampleCount"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellChangeTimes->{{3.854625292921282*^9, 3.854625293553472*^9}}, CellID->256001558], Cell[TextData[{ "Use the ", Cell[BoxData[ FormBox["\"\\"", TraditionalForm]]], " option to style the legend:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.763964950158189*^9, 3.7639650016367874`*^9}, { 3.763965099700534*^9, 3.7639650998760643`*^9}}, CellID->18593305], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"BubbleChart", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"AssociationThread", "[", RowBox[{ RowBox[{"Range", "[", RowBox[{"Length", "[", "#", "]"}], "]"}], ",", "#"}], "]"}], "&"}], "@", RowBox[{"RandomReal", "[", RowBox[{"1", ",", RowBox[{"{", RowBox[{"5", ",", "7", ",", "3"}], "}"}]}], "]"}]}], "\[IndentingNewLine]", "]"}], ",", "\[IndentingNewLine]", RowBox[{"\"\\"", "\[Rule]", " ", RowBox[{"Function", "[", RowBox[{ RowBox[{"{", RowBox[{"checkbox", ",", "label"}], "}"}], ",", RowBox[{"Framed", "[", RowBox[{"Column", "[", RowBox[{"{", RowBox[{"label", ",", "checkbox"}], " ", "}"}], "]"}], "]"}]}], "]"}]}]}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.76396496409487*^9, 3.7639650572051983`*^9}}, CellLabel->"In[28]:=", CellID->108388382], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzs3QdcFFmCP/CZm9m72718G25u9/4bbkcxYpzbMNlEEDChGBCzoBjGnECi JEFEgogiItA0NFDdZCQYQUARswJKToICkiTzf1i7vS2xabq7qrp/38/7+IGi uvrVqyfv18Wrqt9t3L1069999NFH+/6R/LN0w6Hv9+7dcGTZv5Nvlu/at810 15bNOrv2bzHdsvePGz8hCx+Sdc+QL/q+7gUAAAAAAAAAAAAA7tgKAAAA6ofp AAIwamPpt4ro84r7f4TacmWbitsyV7apuC2jtmgBxW2ZK9tU3JZRWwBFQ2pl 2zYVt2WubFNxW+bKNhW3ZdQWLaC4LXNlm4rbMmoLoGhIrWzbpuK2zJVtKm7L XNmm4raM2qIFFLdlrmxTcVtGbQEUDamVbdtU3Ja5sk3FbZkr21TcllFbtIDi tsyVbSpuy6gtgKKxrd+yrT6qBG2rCGhVxUHbKg7aVhG41arcqi0AjW39lm31 USVoW0VAqyoO2lZx0LaKwK1W5VZtAWhs67dsq48qQdsqAlpVcdC2ioO2VQRu tSq3agtAY1u/ZVt9VAnaVhHQqoqDtlUctK0icKtVuVVbABr6LQAAgLrB6A9c hH4LAACgbjD6Axeh3wIAAKgbjP7ARei3AAAA6gajP3AR+i0AAIC6wegPXIR+ CwAAoG4w+gMXod8CAACoG4z+wEXotwAAAOoGoz9wEfotAACAusHoD1yEfgsA AKBuMPoDF6HfAgAAqBuM/sBF6LcAAADqBqM/cBH6LQAAgLrB6A9chH4LAACg bjD6Axeh3wIAAKgbjP7ARVslMF0XAAAAUJStH2K6OgCjhn4LAACgbjD6Axeh 3wIAAKgbjP7ARei3AAAA6gajP3AR+i0AAIC6wegPXIR+CwAAoG4w+gMXod8C AACoG4z+wEXotwAAAOoGoz9wEfotAACAusHoD1yEfgsAAKBuMPoDF6HfAgAA qBuM/sBFXO+3TU1NlZWV+fn59+7dy8zMvHXr1rX3yBe3b9/OycnJy8srLy9/ +/Yt0zUFAABgC66P/qCeuNhvOzs7y8rKSCJNSkqiggIiT9kLLHfxd6wK3ajH M57HM/qaZ/QV+SJ0gy7f3EhwbEekqw0V4JeYmHjnzp3i4uL29nam9wAAAIBJ XBz9AbjVb1+/fk3Camy0iCRV/s7VIUu+EGiNTzaYlL50yv0Vms9WTS9YM6No 7UxSyBfPV09/YDTt9rIpKQaTorQ1gg1m8rcvj3CxiqEis7Ozq6qqmN4bAAAA ZnBr9AegcaXfVldX37x5kwrwC9tjEqI3LV5v4r0VmsVrZ9Zu/ELKUmoyiyTb K/oTQ3Qm83cYRfl5Xr16tby8nOk9AwAAUDaujP4AktjfbxsbG2/dukVd8OGb LgnXGp+5bGqZySzpw+rAUrFu1t3lmpHaGqEbdCJ9TpHs+ubNG6b3EgAAQHnY P/oDDMTmftvd3f3kyRNReCh/t7FAazyJmq82zB5LXpUsNRtmPzCaFqWtQcIw FRKYm5vb2dnJ9B4DAAAoA5tHf4ChsLbfNjc3X79+PfKkTYjetJtLplStl1te lSwkBmcum8rTmSyw3Z+SklJfX8/0fgMAACgca0d/gGGws99WV1fHRYvCdhtT OhqFxqOYvCpbKTGZGaM7gb91cXREeHFxMdN7DwAAoFjsHP0BhsfCfltSUiLi h/BWfZdiMKlaMadYB50wcGvJlJClf6AC/fPy8phuAwAAAAVi4egPKqOurs7L yystLW3ENZubm+Pi4vz8/AICAq5fv97U1DT8+mzrty9evKCCAkKW/SFz2VTl 5FXJcn+FZoj+dOq896NHj5huCQAAAEVh2+gPKqO9vd3e3p50sEuXLg2/Jsmo +/bt2yrh2LFjtbW1w7yEVf22tLS0L7Iumpm7QlP5kZUuT1ZND104JcrPC2dc AQBAVbFq9AeVQTKnq6srHUFHTK3nz58nq504caKgoODZs2fW1tbkWwcHh2Fe wp5+W11dLQrjhSz74z3mIitdnq6aztOfTgVewBxXAABQSewZ/UFlpKam7tix Q3zidPjU+vz5c7KOmZnZ27dv6SXki23btpGFRUVFQ72KJf22paUlPiaat/r7 20xMDBhYHhhNC1nyf9GCMNxVAAAAVA9LRn9QJaampqRfOTk5BQUFjZhao6Ki yDqenp6SC729vclCgUAw1KvY0G+7u7tv3LgRtsckxWAS43lVXNKXTuFvMUhO Tu7o6GC6hQAAAOSJDaM/qBiSV7OyskioS0hIGDG1njlzhqwTGxsruTAuLo4s 9PDwGOpVbOi3T58+jXSzi9LWUNBNWWUrNRtmx+hOEFjvzcnJYbqFAAAA5IkN oz+oqvj4+BFTK4m4ZJ1r165JLiTfDj+1lfF+29TUFB0RHmIw48WaGYwn1X6l 1GRWqM4kKihg+CvaAAAAuIXx0R9UmDSplb7PQEZGhuTC7OxsstDa2nqoVzHe b0mFw/asu754MuMZddCSbTg1dLNBWlpaT08Psw0FAAAgL4yP/qDCpEmtjo6O ZJ3bt29LLiSZkCwkgXaoV20dgtyqPqza2loqwC9cS6Ny/SzGA+qgpWbDbKGO RqSnS0lJiXLaBAAAQF6GGuWRWkFxpEmtZ8+eJeukpKRILkxOTiYL3dzchnoV s/2WhGq+uVG2ISvuGzBUebRyGm/t/NTUVAYbCgAAQI6QWkFxpEmtPB6PrBMR ESG5kHxLFvr7+w/1Kgb7bV1dHXX5YpiWhtIe2ypzoXQ0onzcKyoqmGorAAAA OUJqBcWRJrXSF15ZWlpKLrSwsCALh3kULIP99v79++EHNmcsncJ4KB2x3Fuh yTdb1m/2BQAAAEchtYLiDJpa6+vr7969m5ubS3/77t273bt3S16QlZ6eTr7d u3dvU1PTUFtmqt92d3fHx8UGG8wsXjuT8VA6YqlaP5unPVEkCCONzEhzAQAA yJEcR/8eUGkydIlBU2tWVhZZaGpqKl4iFArpJR7v0Q8pIKsNs2WmUmtlZWWk p0uM7gTGE6mUJcVgUoTDkZcvXzLSXAAAAHIkl9FfHGy6/6oLVIL4gMqWXRMT E0kHu3z5suTCO3fukIXbt2+X7D+xsbHm5ub05YHkRxRFDb9lplLrgwcPwvZt YPl1WJLl0cpp/C2LMjMzGWkuAAAAORrj6C8ZVknI6ejoaH+v7a/eAQeJDx99 NMlhFSdYmc+7johsvLKysry8/J0Uf85mKrWmpqbyjL56acy6JwsMVSrWzQpZ ODUuNlZBRw0AAEBpxjL6iyNrZ2cnSTgtLS0NDQ2vX7+uqamp/quqqqpK4JRq CeRQvnnzhhxWcnDJISYHWqHBVXqMpFYSp4X8EP6C8Yxn0VEVoY5GlJ9XXV2d 8lsMAABAjmQe/eno0tXV1d7e3tTURLINyauNjY3kW8YjDcgLOb4krJLDSg4u OcTkQJPjSxYyHlwZSa0kw0d6ucbrTWQ8iI6qpC2aHOF4FI8bAAAArpNt9KdP sdKRpqGhoba2loQZudcNWIUcYnKgyeEmB52eMMBgcGUktRYWFgrsDrL2Ka5D lSzDqeEHtzx58kT5LQYAACBHMoz+4rOsJL28efMGf3lUK+Rwk4NOB1cGz7gy klofPXoUtm/D3eWajAfRUZXHK6fztywa/p4MAAAA7Cdbau3u7m5vb6+vr0dk VUPkoJNDTzoAg6dbGUmtOTk5/G2Gj1ZOYzyIjqq8WDODZzz35s2bym8xAAAA ORrt6C++/KqpqammpkZBtQKWI4eedADxxVnKrwAjqTUrKyt0k/7TVdMZD6Kj KkVrZ/JWfHX16lXltxgAAIAcyZBau7q63r17R3JLR0eHgmoFLEcO/atXr0g3 oOcJKL8CjKTW9PR0nsmC/DWcue0VXUpNZoUs/iIlJUX5LQYAACBHoxr96XmM nZ2djY2NONGq5kgHIN2AdAZGZrcyl1q1OJlalyC1AgAA5402tXZ3d3d0dLx5 8+bt27eKqxWwH+kApBuQzsDIJAHGZghsNuDkDAGjr65du6b8FgMAAJCj0aZW enpAVVVVW1vbGN967FsQ8/Pz8/LywmMrlYkcPtINmJokgKuxpC8FuBoLAABU gmyptaKioru7W4a3y8vLO3bsmI6Ozi9+8YuPP/543LhxK1eu9PDwGOPtXv/x H//xo48+2r9//1g2AqNCOgDpBmqVWrl856vF2dnZym8xAAAAORptau3s7Gxp aSktLZXhvWJiYv7t3/7to8H83//9X1lZmQzbpCkztQYEBBw+fPjUqVNKeC+W I92AdAZ6aquS35qR1FpUVCSwO4SnDAAAADBCttRaXFw82jcKDAz8+OOP6Yw6 d+7co0ePenp6mpub/+53v6MX/vznP3/z5s1oN0tTZmqdN28eea/PP/9cCe/F cqQbqFVq5fITXY/hia4AAMB1sqXWoqKiUb1LV1fXL3/5SxL2/uEf/oHP50v+ qLm52djYmA6uXl5eo9qsGFIrI0g3UKvU2tbWJuTz+AvGMx5ER1WEOhrUeW88 EAQAALhOhtRKcuZoU+uLFy/oXLpo0aKBP21qavqP//gPep7AwJ92d3eXlJRk ZWUVFxeT9Dvo9odPrY2NjQ8ePLh//35DQ8Pw9STvVV5enp2dPcx9vcaeWsn+ 3rlzZ8Rbh4krk5eX19raKt8tj9ik0iDdgHQG9UmtRGpqKs/oq5fGnLn5VcW6 WcG6U+NiY5l6ihkAAIC8yJBaSTR6+fLlqN4lJyeHTq0HDhwYdIXMzEyKoq5c uSK5kLyXjY3Nz3/+c/H015/+9KfHjh0jy/u9fKjUSiLcggULJCfQfv/994Pe aoCEN1tb288++0y85q9//es1a9ZIJsD//d///eSTT8QrfPLe5MmTh993sgV6 zXPnzsXFxX3xxReffvopvYVf/epX/c48i3fcyspKsjI/+tGPli9fnp+fP/Yt S9mk0iDdgH5ClvqkVvLxJ2zfhmzDqYzHUSnLo5XT+FsW4/YaAACgApSTWjs6 On784x+TjESCX1VVlZSvMjMzG/TSrYF1HjS1Pnv27N///d8HvpwsfPr0ab8t kG0O+l4ku+bm5tLr/M///M/AFcaNGzf8XpD9pddcu3btT37yk4FbOH/+fL+X bNq0adDK/OY3v6moqBjLlqVvUmmoYWqtrKyM9DwZozuB8TgqZUkxmBThcHS0 /2EBAABYSDmplRCf8yTRy8fHZ8S/Yru5udHr//nPfw4JCXn+/HloaCj5ml54 8uRJyZUHplayfZKQP3p/ltLKyur27duZmZnW1tb02cjf/e53khWwtbWlN6up qenr60virkAgEM+2nTRpEr1aaWlpQUHBH//4R7KQJNiC90a89YE4W370/sTm uXPnnr139OhR+sztz3/+85aWFvH6lpaW9MqzZ88msZPseGxs7ObNm+mF06ZN Ez/fYbRbHlWTSkMNU2t3d3d8XFzIoplFa2cynkhHLFXrZ/O0J4oE4XK8NzIA AABTlJZaKyoqxo8fL05ZJD1+8cUXu3btEolEHR0d/Vaurq7+u7/7OzpGNjY2 ipc3NDSQDElnUcmBeGBqNTc3p9/o0qVLklv28/Ojlx8/fpxeUllZSS/55S9/ Sd5XcuV169bRP0pLSxMvHO28VnG2/PGPf5yVlSX5oy1bttA/unv3br/K/Pa3 v339+rXkytu2baN/5OzsLMOWR9uk0lDD1Nr7fpJA+MEtGUunMB5KRyz3Vmjy zQzJRzam2goAAECOlJZae98HVyMjIzphSvrZz35G4mttba14zdjYWPpHAx/o Q1Iu/SPJu6YPTK2zZ8/+6P0ttgZWY8aMGeRHurq6/TZIvui3Zn19vZWVFcm3 N27cEC+UObXq6Oj0+1Fqair9I/Ec1OjoaHpJYmJiv5Xb29vp+zAsX75chi2P tkmloZ6plfQKKiiArzWhav1sxnPp8CVKWyPqrDv5KMRUWwEAAMiRMlMrjQz6 586d09PTk7wmiJg8ebJ4yqu1tTW9kKKopA+dP3+e/tHZs2fF2+yXWknAo9eZ OXNm0gC/+tWvyI/+67/+i17ZwsKCXlnKu8XKnFpJAO73o/z8fPpH4gmoJCHT S0grDdzUwoULP3o/vUGGLY+2SaWhnqmVyMjI4O8wymL3NVkPjabxTLQk/0wA AADAacpPrZIePHhgaWn5z//8z3Rq+u677+jl+vr6H43E1NRUvJ1+qVV8y4Lh 0SFZW1v7o/cX3UtZZ5lTq7e3d78flZSU9MuWurq6H72fqzDopg4dOiQZsEe1 5dE2qTTUNrXW1tZSAX7hWhqV62cxnk4HLTUbZlM6GpGeJ2V7jB0AAAALMZta aYWFhT/96U9Javr7v//7d+/e9f41SRJfDIZebmtrK95Cv9SamZkpTmKDvvzX v/41+YJOrXp6emTJZ599JmVtlZBah4rQY0mto21SaTCbWsWU/Na027dvh+3b wNqnu2YZTuVvWXT16lXcphUAADht64ekf6HMqfXt27eVlZX9rnWSdOzYMTpT 0VeO0N9++umndIgdUb/U2traSt8rwMLCYsTXiv90/urVK2neS6GpVXwDgUFn CNABe+AMAWm2PNomlYbanmvtff9Ah+gIQYjBzBdrWPfEgVKTWaG6k6jgS/0u 6AMAAOA05aRW+vr3Tz75ZKiHapmamtIp6+HDh+RbiqIkQ+yIBl6NNW3aNLJE S0trxNfGxcXR7xUREdHvRy0tLWfOnDl9+vSDBw/EC+nU+pvf/EaaivWOMluK L4wa1dVY0mx5tE0qDXVOrb3vbwgc6W4fpa3BqsuyajbMjtGdILDZf+/ePaZb CAAAQJ6Uk1pv3bpFR6Z169YNfIQo2Ro9Q+AnP/kJfX/RsrIyen3J25PSEhIS JrxHYph44cDUKr5Rf787X5H6L1q0iLxcfHuBV69effzxxx+9vz5L8h7+hPgu qcnJyeKF9B/xCSkvzR5VtiQVoJf89re/7Xd12DB3vpJmy6NtUmmoeWole33j xo2wfRtSDCYxHlbF5daSKfwti1NSUmR73hkAAABrKW1eq/hmrdOnT4+IiHj+ /Hlzc3Nubq6Hh8e//uu/0j/avXu3eP0jR47QC//4xz+S5Ene8eHDh3Z2dv/0 T/9EFpKXNDQ0iFcemFqLi4v/+7//m/6buIWFxfXr18kSEs++/PJLerPi+7US Tk5O9MKpU6f6+voWFBSQNcV3fCUxT3JHtm/fTi9fvHhxYmIiWXn4HR9VtuyV uKfBF1984e/vn5+fTyojfnSXpqbmwKcMSLnlUTWpNNQ8tfa+n4sSHxvDWzPn 9jJW3E/g/grNkKV/iI4IH3SGCQAAAKfJlloLCwtH+0Ykpk6ZMuWjoZE0KPm4 AfJe4qdT9UMyquTJz94hnuh67969f/mXfxl0C7q6uu3t7ZIri7NoP7/85S/v 3LkjuWZaWprkCtI/0VXKbEls3Lhx0Mr8+te/HvSJrlJueVRNKg3SDdQ8tfa+ P1cfHc4PMfxTznJNZiPrk1XTQ/RnUIH+5Ogz3SoAAADyJ0NqbWlpkSG19r6f Jrply5b//M//lMxLH3/88eeff+7n5zdwfRJijxw58rOf/Uy88qeffrp8+fLH jx/3W5M+W3jo0KF+y9PT0+fMmSP5dr/5zW9IxusXWYmuri5bW9vPPvtMvOYv fvGLpUuXim8hKyksLOybb76hVxs/fvzwe11TU0Ov6evr2+9H5eXl9I8uXrwo uZw0sqWlJamA5I4vW7YsLy9vjFuWvkmlQbpBc3OzmqfW3vezL6jgAN7iWfdW MBZcH6+cHrpwKnXBp18nAQAAUBmypdbi4uKxvGlpaWl0dDQJVDdu3Og3x3Ig kifJ2929e/fFixeyTdVraGh48F5dXd2I71VSUkLei6S+ETfb2Nj45s0bxT3h XVyZp0+fknAo3y2PsUlpRUVFpDMgtfa+nyxBBQWELPsTI1MFcldohhjMIJFV tk8fAAAAnMBIagXVQLoBUqsY+SwmCgvlrf4+xWCS0u4qULNh9o0lk0OW/ZG6 fDE/P5/pNgAAAFCg0abWrq6u1tbWsrIyXKGs5rq7u0lOI52BdAmkVlp1dXV8 THTYHpMobY2Xxgq/j2vx2pnRuhP4ZkujIwSYywoAACpPttRaXl5O36IK1Na7 d+/Ihxek1n7I/4sbN25EutmG6E+/sWSygk66vtow+/ayqTzdKQK7Q6mpqaO9 +QMAAAAXyZBa29raqqur8dgdNUc6AOkGpDMgtfbT3d399OnT6IjwsD0m4Voa dwynVssvu9ZsmH1/hWaktgbfbJkwNOj+/fv4qwcAAKiJ0aZWMiK3t7fX1dWV lZUprlbAfqQDkG5AOgPpEkitAzU2Nqanp1P+Z0m8JNn19rKppSazxpJXK9bN IgGY5NXQjQujfE9fu3ZtxKsLAQAAVMloR3/xLVuLi4vl+ER74Ja2traioiKm btbay4XUSnv16tWtW7eoSxfC9q4P0Z8Wt3BCznLNorUzpQ+rJSYzc1doJulP DNGdwt+5OsrPi+TVfg9xAwAAUAeypVaSV8lwLNtdW0EFkENPOgDpBkit0nj9 +vW9e/fiYmIi3R34u4xDlv4hXGs8CaK3lkwhifTpqun5a2YUGs8khXxBvn1g NC1j6ZRkg0mR2hohi2byzY0iT1rHUFF37typrq5mem8AAACYIcPo393d3dHR 0dTUVFJSgnkCaogcdHLoSQcg3YB0BkbqwK3USuvq6iovLyfx9cqVK1RwIEmw Aqsf+LtWh27S55ks4K38lmf0DW/t/NBNevwdKwUWOyPd7KjAC0lJSXfv3iUN LvnkOAAAADUkw+gvviarrq7uxYsX0tyQH1RGRUUFOejk0DN1HRaNi6lVUnNz c1VVVUFBQW5ublZWVnp6+vX3yBfkW5Js8/LyKisrGxsbma4pAAAAW8g2+tPz BFpbW9+8eVNYWPj8+fOmpia51w1YhRxicqDJ4SYHnRx6puYG0LieWgEAAGC0 ZB79xcG1rq6utLT04cOHJNJUVlY2Nzcz9VdjkDtyKMkBJYeVHFxyiEtKSsjh Zjyy9iK1AgAAqJ+xjP4k0tBTBZqammpqakikIdnm3r172dnZmZmZ6enpt967 CZxCHzVy+MhBJIeSHFByWMnBJYeYHGh6YgDjH0yQWgEAANTNGEd/eo5re3v7 u3fvSKSpr6+vra2trq6ufK+ioqIcOIgcOPoIkkNJDig5rOTgkkNMDjSDc1kl IbUCAACoG7mM/l3vdXZ2klTT1tZG4k3LXzUDB4kPHzmU5ICSw0oOLn2Ux95b 5AKpFQAAQN3IcfSnJwyASmJ8SkA/SK0AAADqBqM/cBH6LQAAgLrB6A9chH4L AACgbjD6Axeh3wIAAKgbjP7ARei3AAAA6gajP3AR+i0AAIC6wegPXLRVAtN1 AQAAAEXZ+iGmqwMwaui3AAAA6gajP3AR+i0AAIC6wegPXIR+CwAAoG4w+gMX od8CAACoG4z+wEXotwAAAOoGoz9wEfotAACAusHoD1yEfgsAAKBuMPoDF6Hf AgAAqBuM/sBF6LcAAADqBqM/cBH6LQAAgLrB6A9chH4LAACgbjD6Axeh3wIA AKgbjP7ARei3AAAA6gajP3AR+i0AAIC6wegPXIR+CwAAoG4w+gMXod8CAACo G4z+wEXotwAAAOoGoz9wEfot9PT0vH37tqKiIi8vLzc3986dO5mZmRkZGVlZ WTk5OY8ePSoqKqqtrW1vb2e6pgAAIB8cGv0/4gim20ktcKjfgny1tbUVFhaS aBoXF3fxMv+k56WjDr47jnpsOXBq/R7XtbtdNu5zMzvsvtfKy87tgqdfcLgg 6urVqyTE1tTUMF13AAAYEw6N/kynUWkx3U5qgUP9FuSlsrLy9u3bgkjqhLs/ yag662wWrHdYaHp60c5zy/ZeMtwftOIgz+hQ6PIDIYb7Li/ZfUF/u7f2Zte5 xjZG253223ifC+BduXLl6dOnra2tTO8KAADIgkOjP/szIftrqDI41G9h7MrK ytLS0s76h5gecl+w1oYkVcN9gWsshSY2cSOWtdaxRof5i3b6kYi71NThuLNf JCW8f/9+S0sL07sFAACjw6HRn/2ZkP01VBkc6rcwFvX19devX/c5H7x2t8v8 dQ5L9wQYH4+WJqwOWlYeDltodkZnnc3hE2cjKdHz58+7u7uZ3kUAAJAWh0Z/ 9mdC9tdQZXCo34JsSJ589OhRaFik2WH3+etOGO4LlDms9iurj0XqbfPU22jn 4hmQkpJSV1fH9L4CAIBUODT6sz8Tsr+GKoND/RZk0NLScv369ZOel7TX2S7a eW6tVYy8IqvkeVetDU4b97kJIqgXL14wvccAADAyDo3+7M+E7K+hyuBQv4XR evPmTWxs3G5Lz/nrHFYeEcg9r0pOeTXYcdZgs72vPy8nJ6enp4fpXQcAgOFw aPRnfyZkfw1VBof6LYxKdXV1lDDaZM9J3a2nja1kn8IqfVl+IETLxM7NOzAz M7Orq4vpBgAAGB3yi6uhoaGioqKoqKigoODZs2dPnz7Nz88vLCwsKyurq6tT pdtWc2j0Z38mZH8NVQaH+i1Ir6amRhBBGZk76W/3VkJe/dtsgSOCeSZ2Du7+ t2/fxhlXAGC/lpaWkpKSnJyc5OTkKEpwmefjE2Bz2m+/69kdTl5bHT03n/TZ 4X5un5e/xaUQj4hIfmJiYlZW1suXL9++fct03ceEQ6M/+zMh+2uoMrZKYLou IB/19fWi6JjVO5wNdpxVZmSly+pjkfNN7F29Lt29e5fplgAAGFx7e3thYeGN GzfCI4K8/Y/buK/cafPFFovfm9uP2+s64aDHxMNek46enXTs7OQj3pMOnpm4 79SEnQ7jtx7//XaraRZuSzz8DvLCLqSkpDx//ry5uZnpvZHW1g8xXR1psT8T sr+GKoND/Rak0dbWlpCQuGGfm942T+VHVrqsOipYYGLnfT44Ly+P6fYAAPhA U1NTbm4uJYrw8rc45KRlavU5iamWfpOdQqe5C2eOWFzCp1v5T9nvPsHM5vO9 9l+7++4NjwjOzMx88+YN03s2Ohwa/dmfCdlfQ5XBoX4L0sjIyDhsf1ZnsxtT kZUuRodCF26wCw2Pqq2tZbpJAAD6tLa23r17NyIq1MnLdJvV5D0nNawvTnWL miFNWB202F/WJPHV9Ph4G/dVvDD/9PT0+vp6pvdSWhwa/dmfCdlfQ5XBoX4L IyooKPD0C55vYi/l464UWhbv8jP5wSUxKamzs5PphgEAtdbT05Ofny+KjnLy 2mpmNfHA6YnOYdNlDqv9imvkjCPek0ytxlmdWiGIDH7w4EFHRwfTezwyDo3+ MmTClJSUTz75RFNTU0FV6gepVWk41G9heK2trUJRtMFmuxUHeYxHVrpobzpp 53bh4cOHTLcNAKivpqamq1ev+l6y32Eza9+pCScFcsurksUtcsZhr0nbrCa7 n9uXkBhfU1PD9H6PgEOj/2gzYXFx8f/8z/+Ql0ycOFFxtZKE1Ko0HOq3MLzs 7OyDdj4Lzc4wHlbFZdXRCJ31tmGCqIaGBqabBwDUUWlpaXQMZe1uZG43zv6y piLyqmRx4k/b7TT+gOP88IigZ8+eMb33w+HQ6D+qTPjw4cPf//739EuQWlUP h/otDKO+vj6YJ5hvYsuGuQGSxWDH2V0WZ7KysphuIQBQO48fPw7m+/1g96f9 7hPcImWfvzracvTspO3WmucvO7P55tUcGv2lzITt7e1WVlY/+tGPPvorpFbV w6F+C8PIzs7efdxz0Q5fxmNqv2J8XDR/rU0IP4Lr9zYEAA7p6em5d+/exWD3 bVZTrC5MUVpeFRf7IE0zq3GeF47cvHmTndNcOTT6S5MJX758OWXKFHrNTz/9 9OOPP0ZqVUkc6rcwlKamptDwqAXsO9EqPt2619orJyeH6XYCAHVBPsj7XrI3 s9JQwqyAoYpz2PRttuNcz+64evUqC4Mrh0Z/aTJhVFQUvdpvf/vb27dvf/fd d0itKolD/RaG8uzZM0unc/rbvBgPqIOWNRaUznobUXQ0biYAAEpw//7984HO ZlbjHXlS3YJVceWkYLq5/Tg33923bt3q7u5mumE+wKHRX8rU+tlnn7m5ubW0 tJBvkVpVFYf6LQwlOTnZ0MzB6BCf8YA6VNHZ7ObmdamkpITppgIAFZeXl3cp 5IyZ1USHYMbOsvYLrttsPvfyt8jOzma6bT7AodFfmkxIwuq7d+/E3yK1qioO 9VsYVH19/cXL/PnrTjCbS9dax644yFu0009/m5f+du/Fu86vPBwm/umyvYFb DrrjmiwAUKiamprwiKDt1pq2l6YynlfFxYk/zcx6fECwe0FBAdMt9DccGv1l yIRIraqKQ/0WBkV+DVq7+JGgyGBkXfrDxXnGtlpGlotWWC5dbrFkuYXBCsv5 Ky0XrHdYvj+IrLDGUqi9ziY2Lq6np4fpBgMA1fTu3buExPgDjvOOnZ3MeFLt V+wCp+6wmRERFcqeB79yaPRHagUxDvVbGNTt27c37XczfB8OlV+Mj4t0Nrtp G1muNLTYstphzxafQ9v8D5pd2L3Ja9NKuxXLLUh2JYl6rXXsgvWO5y+F1tXV Md1gAKCaMjMznb1Nf3DRYDyjDloOe0066rIwJSWFJffC4tDoj9QKYhzqtzCo xMRE3Q3M3D2AZFHtTSf1jSw3GNke3XnZ8XBMv3Jwm7/JcisdI0u9bZ7627zs 3C4UFRUx3WAAoIIqKyuD+b6mVuMV9OgruZQdJ8b7XLRiydMHODT6I7WCGIf6 LQzU3t4eJoica2zDyIlWgx1ndY0sN660s90fOTCy0uX4D6EkuC5Yaam92XWP leejR4+YbjMAUDVdXV3JyckHHOdb+rFuboBkcQjWNLeeTgkFzc3NTLcZl0Z/ pFYQ41C/hYHq6up8/XlaG12UH1nXWFBzV1utMbS0+oE/VGSly+HtAUaGFt+s OLJuz8nbt28z3WYAoGpevHjhE2Cz02E847l0xHLg9ARHz81suH81h0Z/pFYQ 41C/hYEqKyvdvC4tND2t/NS6ZPcFfSPLHevdh4+sdNmyymG+4WGD9ceuXbvG dJsBgErp7u5OTEzcY/elXSCL7hswVHEJn256fEJEVCjjp1s5NPojtYIYh/ot DFRWVuZ4+qKe2Rnlp1btza7Ll1sc3THIdNaBZe9W30WGR79ftislJYXpNgMA lVJUVOR7yX7HCQ6caBWfbnX2Nrt//z6z7cah0R+pFcQ41G9hIPLr2sb1PCO3 vZq/zmG1oYXNPoE0qfXIjkBDQ4s/621NTExkus0AQKVcu3btoNN864scONFK F+ew6dutpkbHiJi9mQCHRn+kVhDjUL+FgUhqtXVjJrXOM7FfvcximOuwJMux nUHL36fWpKQkptsMAFTH27dv+YJLplafn6JmMB5HpS+7ncb7BtiVlpYy2HQc Gv2RWjnkyZMnISEhPj4+FEU9f/58xPUbGhpiY2PPv0e+IN8Ovz6H+i0MVFZW 5uTBzAwBrY3ORoYWx38IlSa1Htzmv8Tw6PdLzVNTU5luMwBQHWSIPOmz46DH RMaD6KjK8fNTLFwXZ2RkMNh0HBr9ZciEc+bMIS+ZMmWKgqrUD1IrjcTOrR+K i4sbZv1nz57t2rVLcv3du3cPf2s4DvVbGKiqqsrNO1B3KwNXY/U9tnWFxd6t vtKkVvN1p7SXHdZdexBXYwGAHF29enXviW9OBGsyHkRHVVwjZ5hajheJKAYn CXBo9Gd/JmR/DZWgvLx827ZtpqamSUlJpaWlMTExdBAd6o6XpPMfOHCArGBv b3/nzp27d++eOHGCfEsWdnR0DPUuHOq3MFB9fb1fQKjWBiflp1ajQ6ELVlpu MLI5cVA4fGS13htubGj59dJ963Y7Z2VlMd1mAKAi2traIiJDt1r+nlvTA+iy 03G8f5Drq1evmGo9Do3+7M+E7K+hEpw8eZJ0qtDQUPGSsLAwsuTMmTODrl9c XEzHWhJ36SUVFRX0kpcvXw71LhzqtzBQZ2enIJJi6ikD2ptOLl1usXP96WEi 64lDItM1TvpGlnPX2Oyz8X78+DHTbQYACtTT09Pe3t7a2trY2NjS0kK+7u7u VtB7kcHON8COtY9wHb4c8Z7k5GX65MkTBTXOiDg0+rM/E7K/hopG/qebmpqS TkWyqHhhaWkpWUKWk18IA19SVFREZ1TxXFay2rZt28iSp0+fDvVGHOq3MKik pCT9TXarLaKUn1pXHY2Yu8bayNBi14YzJJ0OjKx2B6LM1rosW24xf52D7hb3 E+7+kv0ZAFQAialv3rzJy8vLyspKS0uLEYmEfB4VFEBdPEcF+gtDg6OpqOTk 5Nu3b5OEVl1dTT5ry+utyadgB89NR89OYjyCylDsAqcectJKT0+XV2uMFodG f/ZnQvbXUNHoCEoCKvmFILmcTqGFhYUDX0I+z+7du5f8NCgoqLm5+d27d/S5 2Z07d2KGgArLzs42PeS+bG8gI6dbVxzkkeBKcummlXYHzM7b7BM4HIomCdZ6 T9jerb7rV1gvWmExb609ybfz150ICAp7+/Yt0w0GAPJRU1Nz7969uNiYKD9P wfHd/C2Lecv/HLxAI1xrfJS2hlBHg/xLvg6ZPy5kyRehGxeGHzaN9HKNjorM zMwsLy8f+5ROkpOPuujbXuLMPa8ki0v4dHPr6QzeVoVDoz/7MyH7a6ho5DMp 6VH79u3rt5wsGWZqK3kVHVy3v0e+2LFjx82bN4d5Iw71WxgU+Qhjd8qfkdsI /PWMq0Bro7PWSkuSXVcbWpgYWhovs1hlaLF4ucX8lZa6W06tsRSutojS22CL m7UCqIDu7u7i4uKUlBQSVsP2rAvRm0YC6s0lUx6tnFa0dmbNhtm1G7/oV0pM Zj5dNf32sqlxCyeEaE/kmxlGejjFx8Y+f/68vb1d5pqkpqbusv2DU+g0xiOo bGWr5e8jo8LlePJ5VOQy+kfLZLTvwv5MyP4aKtqDBw9Ijzpy5Ei/5cePHyfL h3qEMQmo5ubmkvcQOHDgwDCTWnuRWrmvsbHxMk8wz8SeqdRKl+X7gxaaepBq zFltNWeN9fx1DvrbvIwO8emfLv3h4vajHnfv3mW6tQBgTCoqKpKTkyM9HHnG cykdjcxlU0tNZg2MqcOUqvWzc1doxpL4uvQPAvvDcdGi/Pz8fn9VlBLJP1ss xnHxUiy6mNuPCwo9y9RfoOSVWr9ffXxUBalVJT1+/Jj0qKNHj/ZbTnIsWU4y 7cCXFBQU0Ek1LCzszXsCgYCeZpCXlzfUGyG1qoCrV6+u3uG84iCP2eA6TNHa 6HLGN4iMd0w3FQDIqLW1NSMjg7rgQ/KqSHfCo5XTRhVWB5YXa2Yk6U8MWfxF pLt9Wlra69evR1Wfrq6uSEqw1fL3jIdPmcsux/EXg93JYK2gQzY8OaZW6ccC pFZVVV5eTt9ttd9ysoQsHzSF0hn13LlzkgsDAgLIwpCQkKHeaOsQ5LIXoBzk A4ud24WFph6Mp9NBy6qjEXob7eLi4hV3KTEAKFRlZWV8bEzY/k3hWhr3V2iO Ma9KlrzVM4Q6GqGbDUT8kGFOsAzU1tYWHhFsZv054+FT5vKDi4ZfoKOib341 1CiP1CpH7K+hojU1NdGdSnLOD/lPSi+sqakZ+BJbW1vyo+vXr0suzM3NJQuP HTs21BshoKqAd+/eRUQJtdfbMnIngRGL3jbPIw6+Dx8+ZLqdAEAWz549o4IC eKu/SzGYVLl+dPMBpCk1G2bfXjYlxGBmpLdbVlaWlFdptbS08ML8t9mOYzx8 ylz2uk7wCbBh6o9QSK1yxP4aKgF94VV2drZ4CfnvTJbs2bNn0PVPnTpFfkpR lORCEmLJQhJoh3oXpFbVQD6eHLLz0d/uzXhG7VfWWFDa62wEERQZYphuJAAY tfv370edO8PTm5azXJ6nWAeW56unh2tpRDgevXnz5jD3vREjn9b5gkAzGw6f a93jquF7yb6qqkoJx3EgpFY5Yn8NlYB+nKudnR093JN/6bOpMTEx9Ar19fV3 794lcYX+lvQEelJBSUmJeIXDhw+ThXw+f6h3QWpVDc3NzWGCKO11tquORTKe VPudaD1o53Pv3j2mWwgARo38z4084xyqO+nZqukKjax0KTGZGamtITi+6/r1 6yNeWU+SbUQkf+txDs9r3e2s4R/kWltbq5yj2Q9Sqxyxv4ZK0NTURM9iJcnz /PnzdP60trYW//WEPvVqampKf9ve3m5hYUGWmJube3h4kJfQLz948CCJNEO9 C1Kryrh//76Vi5/OFjfGk6q4GB3m62+yo4TRONEKwDlPnjyJ8j0dqjPpxZoZ SoisdClfN4vS0RDYHsjIyBh+JnxPT49QSG224HBq3ekwPpDnWV9fr7RjKgmp VY7YX0PlqK6utrOzE0+ctrW1FT+tlbhz5w59a1bxkrdv35KwSj9Ui+bj41NX VzfMWyC1qgzysSUuPn75NkfDfcw8caBfWWsVs2CDk6vXpVFdYQEAbFBaWkoF +PEWTn2+WhlnWSVLqcmsCK3xkW62g94tR1JiYuJ2K82TgumM50/Zipn153xB 4KAPu1QCpFY5Yn8NlampqamkpOT169dS3tGuo6Oj/D1p7t6M1KpKyEBzIZC/ wIQV8wT0t3ubHXZPS0vDrQMAuIUMOnEiirf8ywdGY729lWylaO1Mnu4U6tIF yRM1A926deuA43z7y5qM508ZilvkjK0WE2JjY5V2WPtBapUj9tdQZSC1qpic nBw7twtaG5yMraIZjKyG+wKXbD0RJYzGI1wBOOf69ev8nauvLprMSGSlS+4K TZ7RN3HRonfv3g1Vz/v379u4rz5+fgrjEVSG4hAybe+Jb65du6bMIysJqVWO 2F9DlYHUqmK6urrS0tJ2WpzR2eK21jqWkci64iBPZ73txcv84uJiptsDAEan sLAw0ss1Slujev0gz2ZVZkk2mCQ4tmOYZ+q9fPnytN+BA6cnMB5BZSiWfpNt 3FcyeKWqyqfWnh7Zi3JqCDJAalU9LS0tCQmJmw64LTT1UH5wNTrcN0XhrH/I kydPmG4JABid9vb2+NiYEMM/PVXKTQOGL2Ums0K1J1FBAUM9NquhoSGY78fR W7budZ3g7W8pvueP8qlwahWHz+6/lq7ukYt4ZRmyK1Kr0iC1qiTyy1wUE7Nx n5vullPKnCqw/ECI1jq7M75B4huyAQCHPHv2TGB3KEl/IuORlS5ZhlP55kYZ GRlDVfj9BVnTnMO4d0GWqdXnYYLLDN5fRSVTq2ReJUG0o6u3/X1p6+wr74Yo 9E/pNclL6AQ7quyK1Ko0SK2qigTX+IQE86MeWhtdlPPMrKU/XNTdYHfuIm/E K38BgIU6OzvjY2NDlnyhzFtdDV+q188O09KgLl8c6mY4d+7csXY3sjg3mfEU OqpiH6S5x+6rlJQUJR9iSaqXWsV5tfN9XiVxtKWjt6m9921bb8O73vr3pa61 941EId/Sy8kKZDWyMnkJeSF5eadEdpVXDWHskFpVWHNzM/mteNzZb76J3fID wYrLq8bHoxeanjYyd7rMEzx//pzp/QYAWRQVFUW4WCXoseVEK11uL5sStnf9 UPM/Kysr/YNcd5wYz3gQHVU5cHqCm+/uZ8+eKfkQS1Kx1CqOrHReLXvb63C9 Vzeod6pX7wQPaQtZeWFwr8vNvpfT2VXK4IrUqjRIraqto6MjOzvb9yJv0Rb7 haYeayyFco+shvsuzzOx32PlGRsbR0YQpvcYAGR08+bN0I0LH61k5m5XQ5VS k1khetPiYqLFT9iR1N3dHR8ft8N6plPoNMazqJTFLWrG1uN90wOampqUf5TF 5JhaR1UUl1rpyNra0Rv1pHeWT6/GadnLTJ++jZBNiYPr2GsIcoHUqg4KCwtF 0TGH7Hzmm9gu2ulnfFwkl7xqdChUe9PJFdudzl3k3bp1Cw/AAuAu8v9XyAvm a2m82sDwrQMGlni9iZHuJ8rKygat+cOHD118tnPoTgKWfpOPuuiTzwhKPsT9 yCu1ymC07zJiJqRPh3Z2950gJWmTxM7xYy5kI2RTZINksyOebkVqVRqkVjXR 2tp6586dwJDwHcc85q+1MTA/u+pohIzzAayiDfcFkry61NTByeNiQkJiaWkp 0/sHAGNSXFwc4WSRYjCJ8Yw6sOQs1+TvNh7qGk+StyOj+GbHJ7qEc+CarFPU jG02n18K8WD8L1McGv2lSa1d3X3XUhXX90737h3nLp9CNlVU37fZrm6kVrbg UL+FsXvz5k1mZmZwqOCAnY/BJjutjc6Ld/kZHeZLc4OsNRYUCat6ZmfmGtts 2Ofm5nUpITExPz+/s7OT6d0CkEpPT8+gf2UG4u7du/wdRrkrNBnPqANL0dqZ Icv+kJycPFTlc3JyHD03H/SYyHgoHbEcPz/lsJPW1atXlXhsB8eh0X/4TCg+ 0drS0Xvieu/n7vIstlf7Njvi6VakVqXhUL8FeWloaHj48GF8QoKXX/B+G28j cycSRLU2OC009Vi089yS3ReW7glYtvfSkh/8SabV3+6ts9ltnom9znqbrQfd 7dwuhIZF3rp1q7i4GAEA2IxkVPIxLS8vLysrKy0tLS4uTiSkRFRkdHR0YmLi zZs3c3NzS0tLmXoKPNuQTBiy5IvitTMZz6iDlnCt8UJe8FDPyWpqaoqICt1m NdWR3bNbXSNnmFqNC+R5Dv+kWuXg0Og/Ymrt7uk7I9rY1rsgsPf3p2Qpi0J6 4/N6H1X3Hkv+YPn8S32bbR9pditSq9JwqN+CfHV3d1dXVz969Ih86hdEUn4B POczAUcdfEmO3WXpueOYxx4rz0N2PjYnz5/xDQriCeLj48no//LlS8xfBZZr bm5+/PhxUlKSiH9OeOEodcaEOqlHOXwjcvhzjOOXwhN/phznUKeWUT5mwkAH USSPJFjyKYz8j2C64owhn0BFkRG8+eMYT6dDlb6prd5utbW1Q+0COeJnzh/e 6cjqmwkc9Jhod9o4PT1dmQd3KBwa/UdMrV3vZ7S+ae2bj/o7N1kKyati+sF/ Wz7OvW+zZOPDTxJAalUaDvVbUJzOzs76+vqysrL8/PynT58+fPjw/v37ZBR4 /vx5YWHhq1evkFSBE1pbW3NycqKpMOH5g5SLTsqpb+77zy8V6NbHLWpLXtqZ towuLUlLakT6BTztTN85sU5fUx5rhEGuiYmJ5ENZjwxPc+S+hoYGyt9HqKPB eDodqlxbPFlgf6ioqGioXSC/xMjnlP0OcyzZeu9W+yDN7VbToqjwxsZGJR7b IXFo9JcytdY09/7WVZbidOODDa4RfPBTslmkVvbgUL8FABhGQUFBbDRFndsb 7fRtzvl5r6MNxDF1mNKesrQkXPeqx7eUq4Ew2P3q1avkExzTu6Js5JNppIcj ex6JNbBkGU4NP2w2/A1Oq6qqQsMvbrOa7BDCunkCJwXTzWw+P3/ZmT13tObQ 6D9iaqUntb5q7v31yVGXr/z6HjEgVtLQfwWyWfHUVtlqCHLEoX4LY9fW1lZe Xv706dPs7OybN2+SATotLe3GjRtZWVmPHz8uLS3FOVXgItKxMzIyhCEelLPW Hb+5zYmLpcmr/UpF5MJkt68pzw0xwvCXL18yvU9KVVFREXnSmp03EKBLznLN sH0bHj16NPyOkBV8A2y32Y5zjZjBeFKVLD+4aDh5bWXJ3AAah0Z/KVNrVWPv /3MZdblZ/MHWVoX1X4FsFqmVPTjUb0Fm7e3tZBS+fv26KIovvOxCndvTN9PP bVnfZD8XPcptKeVhTPnuej/HLzg1NTUvLw+XqABX0M+Ao/wOJLh8XU3pyZBX Jc+7Prg4X+iiLeKfe/jwIdN7pjwlJSURDkeuLZ7MeDodqjwwmsbfuXqom1+J 9fT0kI/hTl5bdjqOd4tkS3Dd7z7hqMvChMT4oa4mYwSHRn9pUmtze29lY++v nEdXDiZ+sCnvzEHWIZslG0dqZQkO9VuQAcmrjx8/josRCS/ZUe5GMY5fpnt/ /yxIq1SgWxutXx+3qCFu0etog/KIhc+DtDJ958Q7f0W5LRH6W8aIIsgAgVOv wHIksiYmxlPeplc9vm1JWjKWyCouZRELo52+E4Z4DPUUUdVTWloa4WRxdRF7 U2vuCk3+LuMHDx6MuC9tbW3kU4yN+8ofXDROUcwH18Nek/Y7zImOodg284RD o7+UqbXibe9/O42iTDj9wdyA4vq+JQNXI5ttQmplDQ71Wxit4uLihPg4ob+F 0Hk+CatkLO5IXTrikF1F6WWfmyty+p7y2x8bTeXl5ann9SnAfuRDWd9ZVm+z W97fS15sNfZSI9KPcf5GxPN68uQJ03upDJWVlZFudmyeIXDHcGrY/k1SHg7y WSYhId7CdTEJrsyecT14ZuIe+68iKX5NTY2iD+JocWj0lya1kmBZ/rb3M8cP ioZ774rQvn/7LadL9IezpMmag65WjtTKJhzqtyC9jo6O7OxsUehZ6qQByat1 sVJdliJZGhMW3/GbSzlrCYPdbt68iQkDwEJ9c1n9Dl71+Fa+kZUu1ZQe+ewm Elxi/BlGSkAyVaTnyQQ99l6NdXvZVMFRc/IhWso9evv2bUJivO3pNTsdxp8U MPDMrFPUjL1uEw46zReKBFVVVQo9fLLh0OgvfWr9hcPfyvhTfadPifp3vfMv fvAjUjZHfbCRM7f7ryAuSK2swqF+C1IiCTMtLU3obxHn/E2pQHcsA/croX6S 69eU767ExPiGhgam9wzgb168eCHknUlw+VpeEwMGlhc8bcptcXxcDKumIypC c3MzdflipDZ773yVumhShPPxsrIy6XeqpaUlNTXVxWe7mc3n9kGayoyszmHT d5wYb+m2LDZW9Pr1a8UduLHg0OgvfWr92Ym/Fdu0v61Dgutc/7/96HO3vwRa GvmaLJF8rWRBamUVDvVbkAb5RZ2UlEid3ZHq/k1jgixXUvcrrVeW3PL+nvIw iYsRsW1eFqgt8tGMdEjKRbtqbJdfjVhun51D+R24e/cu03usWD09PTHRouAF E15tmM14QB20ROtOiPLzHO2voPb29vT09POBztutNI/6TFLONFfri1PMrDRO +x0gmfnt27cKOmRjx6HRX/rU+p/2fyt74j5Y7X5l7/+6/uVHpzM++NGSkA9e 2K8gtbLKVglM1wXGivyKJr8nKZ/tNzy/e5cstxNQHalLs8/NpTzWJMTHNTU1 Mb2XAL337t2j/PZn+c5RaGQlpSlxcd8EV8Hluro6pndasa5evcpb9e2LNTMY D6gDC8nSvAUa0ZGCzs5OGXbt2bNn4RFBR130zO3GKfSkqxN/2m5njT32X13m eZNPOrLVVqG2fojp6khLytRa8bb33+0+KFcLP1gzt7Jv4eLgDxa6p/d/Vb+C q7FYhUP9FkbUN83v/KG00wqZ5pfh8z3lvZUMbV1dXUzvKKi1lpaWaEogcvpO Ln9NGLE8vrSA8tmWlZXF9H4r1qNHj8IObMoynMp4Rh1Y8lbP4BnPvX79usx7 V1tbm5aW5htgt8Nm1l7XCY48OT+GwDls+kGPidusJruf2xufEFdaWirHQ6Mg HBr9pU+t/2b7QfmNS19SlRSQ88GSorq+dfq9ql9BamUVDvVbGF5BQYFCp/m1 pyxNcf9GGGB3//59pvcV1NrTp0+FF47c9ZurhMja+X6STIzTN9FRfNW+JrHv NgIeTvGsvCArY+mU8MNmY7yfQ3d3d35+fnQ05X5un7n1jB9cNGwvTR37nAGH YM397hPMrCY5eW0RRPEePHjQ0dEhr4OiUBwa/aV8ygCJl/9i07/8P+e+Sa1D MQga5CX9CtksnjLAHhzqtzCMlpaWvmdZOmspdJpffdyiaKdvRRHBb968YXqP QX0lJydTJ/VqRPrKSa2k3PGbK/S3lP4Cdi7q7OyMFQlDFk4pXzeL8Zjar0Rp a1AXfORyWVNbWxv51BMTG+154egBh7mmVp8fPDPR7rLmqG6QRbIuCatHvCdt txu32+5Pbmd3RUaF3bt3j1sTqDg0+kv/bKx/sh6kfHVu8ODqdmvw9fsVPBuL VTjUb2EYd+/epc7tuaP4s09PAhdQnhtu3LjB9B6DmqqvrxeF+Se5fq20yEpK ZZQe5b5c5bs9+TXC322czbJJAgVrZvBWfEU+qshxTzs6Ol68eNE3lTfc/6SP +QHH+Vstxu9yHH/QY6LluckkxDqGTnMOm+4aMcM1coZL+HSn0Gn2QZrHz085 7DnxBxeNrZa/32v/tYPnpkCe55UrV0gM5uIDWTg0+o+YWru6e1s7equben9i PXgxDu//qsK63l86Dbm+ZCGbJRvvQmplBw71WxgK+YAfHRUW7fStbI9fH1Vp T1ma4PKVKOz8q1evmN5vUEd9N7zyt8w5P0+ZqZV0+2jHr6OFkSy8vkaOyH/q KD/PSG2NGjbdSSDFYJLAZt+zZ89G3oHRa2hoIJnz5s2blDDC//JJ93P77DzW HnLS2mP31U6b2duOTzWznLzDeuYPdn864DjPxn2lm++uc5ccBJE8kngfPXpU W1uriFopB4dGfylT66vm3n+17f1Hq8GLefQHr9INHHJNyfKf9n2bRWplDw71 WxgK+eVJ+e2/d0FJ43hesBbltTkzM5Pp/QZ11PdnBc9NxWFjuhGxDOXamW9F PC/W3ntTXkgYC12v88BoGuNhlS7Fa2eG6E2LFUa1tbUpdMfJ5xES2l++fPng wYOMjIxr166lpKQkJiYmJCQkJyeTZrl161Zubm5BQUFVVZWiK6McHBr9pUmt bZ29b1p7p57p/YfjQ5ZjV3rrWvvK9ujhVpMsZINks2TjSK0swaF+C4Pq6ekh v1cpZy0ZHoAlW2m9skTk+E20UKAav7qBW0icoNwWv45WUm8Xl7t+c4UBNsXF xUw3gGKVlZVFertFaWuw5MatfSdaLXY9fPiQ6YZRQRwa/UdMrd09ve1dvQ3v enfF9v7IUp7FPKZvs2Tj5C2QWtmAQ/0WBvX69WtR6NkU92+UOYJn+HwvDHQo KSlheu9B7SQmJlKOc8hHJyWn1qeXF1B++54/f850AygW+RR89epVvumSzGXM z259vnp6yNI/xImEKv9sMkZwaPQfMROSPNnR1dvc3vugqu9eVZ9ayKeQTZEN ks2SjQ8TWaWpIcgLh/otDIoMo8Lzhx9cnK/MEbzvSZfepjk5OUzvPaid2NhY 6sRXHanyvyPx8CU/RJvy3fn48WOmG0Dh3rx5Q4UE8nQmF62dyWBkrV4/m9LR iPRwfPHiBdNNopo4NPpLk1q7unvfvZ8k4J3Z+6ll7ycWYy1kI2RTZIPvRpoe IE0NQV441G9hUJmZmZSHcXnEQmWO4HWxBpSLXmpqKtN7D2onOjpaeOLPSo6s f/mk5rNdTf5Uff/+/QjHo0IdJucJpC2azN+15tq1az3DxwWQFYdGf2kyYfdf T7dWNfY97uqfrXv/7pjshbz8dEbfpugTrd0j9UGkVqXhUL+FQaWkpFAuOg1x i5Q5gnekLhU6fBktEmJAASWLj4+nHBTy9Lfhy/MgLcr3h6dPnzLdAMrQ1dXV N0/A3IhER0Yi670Vmjyjr+JEQtnugNrd3d3Y2FhVVVVaWlpYWJifn//y5cuS kpKKioq6ujquPAVA0Tg0+kuTCenTre1dvY1tfWnzdmnvhoje/z3Z+yOL3o+P Slt+fLx3vFvv5qjerLK+jTS1921wxBOtUtYQ5IJD/RYG9f4Ppl8q/w+mSa5f iyKCVPtpQcBCfY8YcNZSzrNcJcvDgPnCC0cKCgqYbgAlIamPhEae8bz0pVOU HFkfr5weYjCDCgooLy+XvsLv3r0rKyvLzc3t+yAvFF68zHfzDnRw97c+6XfM 0dfKxc/+lL+LZ8C5i7zwiKjExMSsrCwSZd++fau4NmQ5Do3+UmZCcXBtbu99 3dJb/rY3/3Xvo+re+5W9d8t7s8v+UrIkinhhTkXfamRl8hLyQvLyZqkjq/Q1 hLHjUL+Fgbq7u0VUZLQDA38wTXH/RhTmT4Y2ptsA1EtGRgZ1elVllAKfATdo 6bsCMcilsrJy5CqqipqammhBGG/5V7eVeGXWk1XTQxdOpfx98vPzpalkV1dX aWkp6RUki570vLTL4sxSU4e5a6wWrHfU3equt83TwNxn0Q5fA/Oz+tu8Fpp6 aG10nmtss3CD7ZaD7nZuFwKDw1NTU/Py8tTwAziHRn/pMyEdXDu6+iajNrX3 zUqtae57TEBlY9+DWcuHKORHZAWyGlm5rrXvheTlHVJH1lHVEMaIQ/0WBurs 7BRR4bFOXyo/taad/lbE92toaGC6DUC99N2d2HfXsyAtJXf4vj8uCC5x65Gd Y1dRUSEK4/FWfXdjiTKmCtxfoRmiPz3Kz0uaq97a29ufPXsWGxfn5h24+cCp +WttSExd8oP/qqMCE5u44csaC8pwXyDJtPNM7I3MnWxcz4cLou7evatWp145 NPqPNhOStEln17bOvkIiaEtHX2luH6TQPyLlXedf1qfzKimKqyHIjEP9FgYl ElGMXJyS7EYG8YDm5mamGwDUS2VlpTDY7Zb398rs7W/jF1FOC5KSkpjeewZU V1fHREWGbtBN0JtYsW6WgvLqqw2zSTAOWfYHKtA/Ly9v+Cp1d3eTdaJjYuzc LizabK+92XXZ3kBjq+gRw+qgZcVBnp7ZmQXrbPfZePP4ESS7qsmNtjg0+suW Cbt7/hI+R1tGvPZKXjUEGXCo38Kg3l+c8p3yb18Z5/ylKJLf3t7OdAOAeiFd LlooiHb6Rpl9vu95cD5manurtzdv3iQmJIQf3S7Q1niyarrcI2uh8cxo3Ql8 s2UxUREj3gW6pqYmNTXV1euS/iZ73a3uKw+HyRZW+599tRQamJ+db2J72P6s KDpGHW63xaHRn/2ZkP01VBkc6rcwqBs3blBuS2uj9ZUZWVuSllCO3yckJDC9 96CO+u725rnxBU9baR2+bxY3z7OqqorpXWdMW1tbRkZG1Fl33vKvkvQnFsvp Vq6V62fdXDIlRH9ahJMFyaLDzzjq6el58uRJME+wfo/rgg1ORof5csmr/bLr QlOPRVvsPc8Fpaenq/ZJVw6N/uzPhOyvocrgUL+FQd27d4/yNlPmCE5KFaVH ua+4efMm03sP6qiiokLI80x2+1p5vf2kXmJiIu7zVlRUFB8bK7DaE6I3LcVg UqGx7Nm1zGRW+tIpodoTwvaYRAvCSBzt6uoa5q1JbCa/cNx9AnXW2y7ZfWGt dazcI6vknIF5JvYH7XwSEhJfv36ttOZVMg6N/uzPhOyvocrgUL+FQZWUlAgD HTJ95ygztT66NJ/y268m964EtiHpMTU1lTq1vDhMVwm9/fqZ78h/MfW559Xw 2tvbHzx4EBMV0ZddF88W6U64Yzi1xETa+FqxbtYDo2mJehNDFk4J27eB4l3O ysoa8VYkzc3NKSkph+x85q87Ia8pASOedNXZ4ma82yUiSqiqN47g0OjP/kzI /hqqDA71WxhUa2urKJIX6/R1e4rybtmacuobUejZ2tpapvce1FRZWZko1CfB 5StFP26ABGPKbUliYkJnZyfTO80i7969e/z4cUJCQqS3G3/XahJfI7TGpxhM ylw29dHKaflrZhQazyxeO7No7cyCNTOerJqebTj12uLJQh2NYN2p/K1LIl1t YkXCnJwcaa7ZJ+skJCTuOOqhtdHF+LhICZFVXAzMzxqaOYSGRY4425aLODT6 sz8Tsr+GKoND/RaGcvPmTcpjTUm4Ms47kVIbrU+56F65coXp/Qa1duvWLcpn 212/uYrr6k2Ji+NdvhbxfUlIZnp32ainp6eqqoqEz6SkJCrQP8L5ePhhM77Z Up7JAt7Kb0OW/Yln9DXPeF7oZoOw/ZsEJw5H+XnFxcZmZmYWFxdL+YAq8qk8 MSlp60F33S2nZL5LwFjKkt0XFm2xJ8FV9c64cmj0Z38mZH8NVQaH+i0MpW+S QLBb2ulvlZNaM33nCP0tMD0AmNXU1BQXI6RO6hXydRTRz9tTll47863wwpGs rCym95UDGhsbS0tLya+FO3fupKenX79+PS0t7dq1a+TDBWnAx48fk6RaV1c3 qrnB7e3tqampuyw9dTa7KXQi64jB1dDMISJKqGJzXDk0+rM/E7K/hiqDQ/0W htLd3d13rsN1UXnEQkVH1rpYA6HT3Nhoqq2tjen9BnXXN09AECBymlsRKf+e Tz6dUZ4br1y5gtu7MSUzM9PC6ZzWRmdGzrL2mypgvNslISFRle4qwKHRn/2Z kP01VBkc6rcwjKKiImGIR5Krwme39l2ZEmAjzZNrAJTg2bNnotCz0U7fl8nv Ixv5T9QXWT1Wx8fF4JnFTCkoKPC5EDLPxG6NpZDZyEoXnS1uB+180tPTmW4Y ueHQ6P8RRzDdTmqBQ/0Whnf9+nXKa3Ou/zzFRda+e62fMkxKSsSVKcAe5DOU iO8ndJ7/9PKCsXfypsTF1858S3luTIiPraurY3rn1NTbt2/DBVH6G+1WHOQx nlfpQsLzPJO++7iqzAMIODT6M51GpcV0O6kFDvVbGB75PR8bHUm56CrodkCv hPoipzmiiKDq6mqm9xXgAwUFBdFRPMrd6Ibndw1xi2Tu5EVhOnHOXwv9jyYn J+MsK4Nu3bq10+KMgbkP42FVspAIvWiLvSg6RjXmCWD0By5Cv1UlxcXFonB/ ki0ro/TkG1nrYg1inb8Rhng8efKE6b0EGERNTU1iYrzQ31Lk9F2u/7ymxMWj 6uEVkQuvenxLuS0T8f2ysrKkvMIdFKGsrMz3Yt99/hmfzjqwLDT1OGx/9u7d u0w3khxg9Acu2iqB6bqAHDx9+lQU6iPfaX610fpxJLJedlGN39WgqkjUfPDg QXQUn/L9gWTXDJ/vSwW6rVeWDNO36+MWPQvSSjn1DeW6SBjolJSUVF5ezvR+ qLWenp6UlJTVO50N9wUynlEHljWWwvkmtjx+hDR3mmWhrR9iujoAo4Z+q3oe PXpET/N7EiiHaX4vQ3Winb4TBp++c+dOd3c30zsHMILGxsZ79+7FiCKFl+wp D2Oh47cp7t9k+s55GDCfBNS8YC3y/yLXf94t7+/jnb+iXHSos+bkg96VK1de vnw5/ENFQQnKysq8/IIXrHdkPKAOVQzMz+6z8VaBj/AY/YGL0G9V0vtpfqGU +8prZ76tizWQLa82Jiy+fXYO5bpIJAh4+PAh0/sEMArt7e2FhYUZGRmxMdF9 H+ICHYUXjlDn9lK+uym/A0J/S2GwuygimITV3NzcV69eMV1f+Itr166Z7Dm5 bC8bT7SKT7cuWGcbLohqbW1lurXGBKM/cBH6rap6/fp1UlKiMMBG5DT3jt/c UV2i0pS4+MHF+THO3wrPH4qPi8HfTIG7uru7GxoaSB8mH+WePXv25MmTvLw8 EmhJUm1paWG6dvABcqQu8wTz1tox+EwBacpCszM2rufz8/OZbrAxwegPXIR+ q8I6OzsfP34cI4og4VPoNO/6me8KeNrDxFcSVovCdNK9vxc6fkv57hJF8nJy cvA0AQBQDvL76oiDL9tuHTCwrDjIMzJ3SktLY7rBxgSjP3AR+q3Ka21tffjw YVxsjDDYjfLeSjlrxTl/ee3Mt1m+c3LOzyOFfHHD87sEl68op7mU50ZhoGOM iCJ5laOXGwAARyUnJy/Z6rDySDjjuXTEMs/EPjA4nNO/JDH6Axeh36qJrq6u srIykkWTkpJEkaEinpcw0EkYYCsMsOmb8sc7I4oMTkhIyM7OLi4uxm1/AEDJ mpubg0P7pgcwnkilKXrbPO3cLrx8+ZLpZpMdRn/gIvRbNdTW1vb69euKioqS 98gXtbW1XL+yAAA4jXxedjx9caGpB+OJVJpiuC9w60H3rKwspptNdhj9gYvQ bwEAgHG5ubk7jnks3RPAeCKVpqyxoPQ22CYlJTHdbLLD6A9chH4LAACMu3nz 5ppdLkaH+IwnUinLXGOb8Igo7s6nwugPXIR+CwAAjEtMTNRZb7PGUsh4HJWy aG10PneRV1dXx3TLyQijP3AR+i3AqHR1dbW3t+MhSgByRP5DRURSc41tGM+i 0peFph4ungEVFRVMN56MMPoDF6HfAgyvp6fn1atXjx49unHjRnx8vCgyQsjn kX/J12QJWV5dXU3WYbqaABzW1tbG40fMM7FnPItKX/S3edmf8i8pKWG68WTE odH/I45gup3UAof6LYCSdXR05OXlJSYmRp11Dz+wmbdmTrDOlND548K1xpN/ g3UmkyVkeZSPO1mHrMndGW4AzGpubr4UHLZgvQPjWVT6YmB+1srFj7s3v+LQ 6M90GpUW0+2kFjjUbwGUqaysLDEhPsLxaMiyPwl1NDKXTc1fM6Nq/ezajV/Q hXxNlpDl5Kchy/4Y4XA0IT6utLSU6YoDcE9jY6N/IH/BBifGs6j0ZdEO32OO vgUFBUw3now4NPqzPxOyv4Yqg0P9FkA5uru7c3JyKP+zvJXfxutNJNFUnFSH KgVrZpA1eUbfUP4+5LWY9QowKi0tLYEh4fPXcetcq4/1Sb/CwkKmG09GHBr9 2Z8J2V9DlcGhfgsqiYxW+fn56enpKSkpSUlJ165dy83NraqqYqo+nZ2dt27d inC2DNWe9NBo2oh5VbKQ9fk6EyOcLMgWyHaY2gUAzmlvb+eHR3LlwVh00dvm 6eDuz90/r3Bo9Gd/JmR/DVUGh/otqJiurq5Hjx7FCCOE/hbU6VWUizblNJdy XUT5bBfxfK5evfr69WslV6m7u5vkZ4HtgUhtjaK1M0cVWelSvHYmea3Adj/Z DtmakusPwFHkPwslFM5ZY8V4FpW+6G51P+UTyOBH7DHi0OjP/kzI/hqqDA71 W1AlbW1t169fF16yEznNveM3tyJyYWPC4pakJW9iDJ4HaV1x/ZryWBtDhRUX FyuzVg8f/n/23gSsqSxP+O7pfuftma/76++beeaZmZ5v5u2ZKVnctaqre7qn uqqrVFRcyw1QQJAt7Pu+hCyEsIQAYQ1rICSBkIWwoyyKgAqKgIjigoqyCogg O/IdKjU0okCA5C7h/J7/44OXe2/+93CS87sn557TLGKQcw9qdhp/sQ5llQc4 FpxBxCA1NTUhmTwEgmsuX7583Jxy3leEuo4qGDomwakZgrdv36JdcusER60/ 9p0Q+xmqDTiqtxC1YWZm5tq1axK265WIr4cKT0xXnF4SU+Wn7qXrSEMPyUTc rq4uZLLq7e2VZKTyj+x4arieXtbF0WH0OU93h4STAs6JTPIQCN6pq6szcQ4/ 656Fuo4qGPsuECVSKX6/UsFR6499J8R+hmoDjuotRG1obW2VcmiXGX8aK/v+ Y2VdiPasQxLGyaLC/MnJSVWn9P79+/Lycv6lI/Vndm5QWeXRcHYX3/QwOCec yhUCUYSWlhZXUuxJhyTUdVSRMPARnrKigTc42sW2fnDU+mPfCbGfodqAo3oL UQ8mJiYKZGIpff9A/vEVlFUeNbHfSlP8geWqOqvOzk5RTLj0sFaf6W+VYq0g wNlErDD8PqwBgSBJV1dXZDznsDkDdSNVJL53SnHwi25sbES72NYPjlp/7Dsh 9jNUG3BUbyHqQUdHhzSdciPhu1WVFcRr2XFJ6OGysjJVZ1VdXc03O9q0xkkD Vo5mvd38S0fAmVWdPASiBkxOTuaKJfsMA40CC1CX0lVD15IZxkoHd7toF9v6 wVHrj30nxH6GagOO6i1EPbh165aEZfosW1cRawVRGv6nPGH6yMiI6lIaGxuT 8rmCg1q9yutoBQHOJjioKeVx3717p7rkIRC14dq1a4aOoWfduahL6cphSJTt NyTl5IrHx8fRLrP1g6PWH/tOiP0M1QYc1VuIejD/HBbj5GvZ6sMD5HE99lsp N7Kvr091KT1//jw3JODK8W1KVFZ5gHPm0v0QngkB4+D36RWIqnny5AmNmXLE KhJ1L105Trukm7tH1NbWol1gGwJHrT/2nRD7GaoNOKq3EPWgsrJSEnb8k1MH fDJq44C1Mnp6elSXUnNzc7azccPZXUq31ttnd4Ezb9opsGZmZvr7+9va2m7e vFlRUVFUVCSTySQSUX5+fklJCbh/uX37NhCV4eFhtDOFYIKJiYlcsUTHiHTB X4q6mq4Qh8zCGLEcvA9Zx1Hrr6ATjoyMEInEr7/++te//vXf/u3f7ty5U09P 79atW9jJELJxcFRvIepBXV2dJPJ8l/iogtZazvw6T5AwNDSkupRqa2v5pofb DPYo3VofnN/DNzm8vj4Z0IIDnRsYGADiNzg4CD6QcbTeVl9fHzBSWX5eGpcZ GmfjG3bckfIHK7+t5r6fWfh9Zu6zhRCww5X2DTHibBTbPUvAvnz58v3790dH R9FOHIIywDEc/KJP2CeirqbLhb5X9glzakFhId4XbsZR66+IE4Jb43/6p3/6 yUf89Kc/dXV1xUKGEKWAo3oLUQ/a2tqkSV53Uw4ooqzvSr+XBn9bkC9TaQNx 9epVnv43G5+m9eMA5+TpfV1VVaVIGrOzs729va2trdXV1UVFRfxsUQpHEJ+S xWJzE1J4qRmCXJGkrKwMaP+jR49UqvEb4dWrV+B6M3ixlChDa+IOe5qmF2sr KW0nnb+bIdrLlH4uj/DcvTTuLmLyDjemtjVpixPlD4x4B6GY39DQgN9p2yEb B9ygZfKE+43IhgEy1AX1k6FrEUFhJD948ADtotooOGr9V3XCN2/e/Pu//7t8 t2PHjvF4PPARGhAQ8Itf/EK+MTMzE90MIcoCR/UWoh6Aj5c8IacwZJXJWuXR kn5AEmdTX1+v0pQqKyt5575a3xKuK8f8cgNn/xucf+UEgILevXu3sLAohs31 pMRdcAg9aEzab0Q5aEo/ZBZ22Jxx8FKojknwPkPS0UuUS64MYigbSOyVK1dA 04md50GAbdbU1HB4LO8QXQJpi0/8ttCcPQuaunIEcXe5R2oTiFtp0aa5Yv69 e/dw1LEMUS61tbV2PlEn7BJQF9SPQ89TcNyMIstHYhJpVYOj1n9VJwwJCZHv 4+bmtnh7Y2Pjz3/+c7D93/7t39DNEKIscFRvIWrDjRs3JPF2N1eb/KpfdkxG /7NMzAOiq9J8qqureRf2Pb6wV+nWCs7JO//tCpNfDQwMgDY6kyd0JcUeNSUD Oz1hn6jnyTcMyPtko3nBT3LGLfOYTeyBi0FnbYIDw9hiSV5TUxPq7trR0SGR 5lAiDa2IGgFJOyIkexX01cURJtzjEb3VmriTlewNnFzVf3cINgE3cfwc8SET soFPLuqaujiMAgt0TOnhMekPHz5Eu5CUAI5a/1WdUFdXF+zwy1/+cmxsbMmv TExM5Ier9JFeaK2IYbkItHOBbBZGR0eLCmSSiNN3kvdPlZ9aTlmLQr6Schkt LS2qzqe+vl5AON2ir8zJWuUBzikgnPpkX/Hk5OSdO3e4fKGNT9R+I/IJuwSD Na7ADuT2iFXUYROyb3BCXn7+48ePUVmHC7wouBAOL9ae9KV75NZw0Xp8dXEE 83fbBWn6hZ8US3NwPR8mZN00NzeTwpMOmYejbqqL43vHZBOX8PLycvzOg2H5 IWinoyirOuHp06e1tbX37dv38a+8vLzkh6v0qVhorYiBo3oLUSfAbW+BTCyJ Mipnfv0y98hidx0uOnE35UAe/Vspl3nz5k0ETOzBgwdCP7uaUzuUbq21p3YI fWzb2to+vvzi4hI/eqKOMemEPXsjQ/iA6x6xijxpQY1KyKiurv64q0GlzMzM 1NXVJaRRCEStwNSdG/TVhYiQ7PWI3upI+a9sIefJkydIXhEEC0xNTRWXlBg7 hYJ3B+qyKg99r2xdE0qWIFelXXZIgqPWfyNO+NVXX4Fj//f//t8qHdQBrRUx cFRvIWrG0NDQlStXpJnhEua5/OCvgL5WRX9TGv4nCf2AJMFBJhYgsJCrnP7+ fnE8U6arrXRrBecUxzGXNHPt7e28bJGhQ+hhC8Z5P7FSmtRzHrwDF4NcAmMK CgrB5SBTbuCGAtxWxKT4EQI1gnm7laWsC+GfuN2OtJeXnQInvN2EgGrMzxEf uUTR8+SjrqyGAXng/cWM4yD2oYQAOGr91+2EhYWF8mP/+Mc/Kj2rxUBrRQwc 1VuI+jE7O/v06dNr167liXPyBOw8XlyekFNcXNzY2KjSxbA+TqOosDDrxOfK fSDrmdHn3OOfFxUWLP4+sbm5mZ3GP2JKOemQpOyGVaZrGQlkOFcs7erqQqDc mpqa2BwagahBFyhfWeURkLTDnvSlUMTt7e1F4IogmOLhw4exSdwDxmQDHyGa ykqUHbwU6kmJq66uRmUQjorAUeu/PicE9ecf/uEfwIE/+9nP6urqVJHYAtBa EQNH9RaixkxNTQ0PDw8ODr579w6VdgEIWI63zdWT25VoreBsOV6ExYOpgLLG sLkHL5JVt2blcdv4MwSaIEfc3d2txPIZGxvr6+vr6Ohob29va2sDzcH169dZ 8aGXvDSDuLtUpKzy8Inb5k77rqioEPUnziDI09DQEB6TfsCYen6No76VFUaB BboWEXa+UVeuXJmYmEC7PJQJjlr/dTjhs2fPfvOb38gPdHd3V1FiC0BrRQwc 1VsIRHWMjo7m5fB5ujufKam7FZyHp7sjL5u/0GkMTI+dxgPKqucpUGk7e8Ke fc4mWCzNGxgY2GCx9Pf33717F7TXObmZyRmhUWz3sDg7eoxFMMvK2ff0GQtN A4f/Y+n/mVOoVkDSjo0/h7VcgPMHs8zxvoAmZB2Ae9i6urogZgoQV+R7XA2J ssPmDEtPZnFxifotgYGj1n+tTnj79u1//ud/lh91+vRpBKbRg9aKGDiqtxCI SmlqahKS3QqPKGd0a9HRrUKS60JHa29vLy8794gpRXW9rIvjmE3sRefwktLS 9T2AIB+5cfnyZQ6PFRRt4kD+vRVxiyNd0z1yq3fsNp/4beBfT9ZW5zAtG4qG mc9/ysPC7zOwQ0i2onO0Kh7huXsJRI0MXtyrV6+U+jeH4AD5E38/9LiSkRzj esFfevBSiKM/C7yP1HLlCxy1/mtywqKiol/+8pfyQ86fP4/MzM/QWhEDR/UW AlEpU1NTpaWl/EtHNj6ZADgD3/RwaUkJOOfcD2uzFhYVXXAI/d4xGbE295B5 uDctYR2jubq6usrKyhLSKC5BXwMp9YnbFsxfadhqmHAPMXmHY4iWue9nwF3N /T7zYm1lKLvfNSBphzvtuytXrqjTwEKIgoA/ekNDQ2wS98glCjKzCpzz4O03 pvjREysqKhCelwMxcNT6K+6EiYmJP/vZz+T7e3p6IvZxAa0VMXBUbyEQVTMw MCATZvPO/vfNMzvXray3zuzknf2jTCh4/fq1/LS3b9/2DU44bMFATFnlPUX7 jSjsNJ7iU55OT0/X19dn8hPcg/fZBWmS09c2kxVdsNstQlvurtZkDVqWkh/R sqVqJGeEvnjxQmV/fwimefjwIT9HbOwUCu7IVLcAgWGA7Lht3DEzSlxy1o0b N9RgDazlwFHrr6ATkslk+Z5AXOPj4xFIbAForYiBo3oLgSDAy5cvpXwuT+9P 177f3mf62zX5KtgfHMXT+wqcAZxHfkLgrpk8oY4xWVmTXCkep104erb04pKS mZmZVS98dHS0vLycmehKIGoGJO1Yt1vSuLvsgjTkna7E5PWf5+MITN3hST9Y VVWl4ioAwS79/f2gPs8vQGAyvzDHRiY6/mScceXsN6ba+0ULRZJHjx6hfbmq BUetvyJOyGQy5bv98pe/LC4uRiaxBaC1IgaO6i0EggxdXV35olwB4bT0sNYj hZd5BXvm6WoLrL6X5QoXD7+sqakheDGVPs+VgnHILIwelbZq+/vmzZvi4iIS U98uSHPjA1Pn1wiI2jovrr6f+SZsV5a1gtNaEbfwhWnDw8MqrgIQ7DI1NdXc 3CzIEdvJF5WzT7zgL93g28QosADc4umY0M7bhySk8q5fv66WA1mXgKPWf1Un bG9v//nPfw72+cUvfnHjxg3EElsAWiti4KjeQiCIASyuvLxcFE7KOvllydGt rQZ7lut3BdvBb8E+WSd/KwojgaPAsQvnGRgY4GTlgLbVkKjkTiEF45wH7zSB VlJSssIalKOjo0BZ/cJOOIVqKXE8qn/idvlogY303C4JIMPh8XYfrzUG2WwM DQ3V1tZm8oQOftEHjEi6lpFn3blGxPy1vkH0vXOO28btN6IYO4fFsLng/bt5 FhHGUeu/qhPq6OjI99mxY0fgMix8/4VKhhBlgaN6C4EgCdC8hw8fFubn59L9 eMY6fB1NoKY1p3Y0nN1159wu8C/4GWzhH9AAvwX7FObLwP5L5PDOnTvORBa6 q1IevBQSlZCx3Cf29PQ0aKlJTH2grBES5T9CJe9xpWYoZ05XCmenJ12nuroa kSoAwTrAXW/dupUrltCYKYaOofsMAw+bM046JJ11z1puftcL/lI9T8Ep57Qj VlFAVk9Z0XxoCRk8YVVVFfDVTfWsH45a/5WdENzG/kQBrl27hlaGECWCo3oL gSDP1NTU48ePr169Ks3miyKDhUSnbNdL2U5G4F9hgCPYAraD9g7sI58uYDEz MzP5+QW6JiiMaF0coIEmeDGX+9asoaEhiu1uF6Sp9Kf+5eEduw2IKyFwS5hQ CTNigSSt/DXz8iQrdB1DNhsTExNPnjwBTgL0NTKe40qKNXEJP2FO3XeBCLz0 wEWajildx4S235i6z5B02IR0wSHU3i+aHpXK5QsvX7587969zTnmBEet/8pO mJ+fr4i11tTUoJUhRIngqN5CICgCWsbu7u5Hjx6BNq65uRn8C34GW1ZYLqer qysqIeOQWRiKymosX0LdiCTJy/v4mSyQP1fAJhC1VDHJ6kI40jWBuLpGaCvl bLYUDa4gYXNqBmRlJicnwZsOvDfr6uqAjkqleYIcEScrJ4UjSOdm8wS5IpGk pKTk+vXrjY2Nz549U7+FA9YEjlp/7Dsh9jNUG3BUbyEQfNHS0uJKij3pgObw AHkAc2axub29vYvTm52dvXLliiddxz9RaQ9MfTKAElv4zQ9wpWYqYZyAc7hW QhoFyAlaf1YIXgA1HHjsu3fv3r59CwQV3GAqMpnG5gFHrT/2nRD7GaoNOKq3 EAi+qKqq0rOl63mpdv1WReKEfaIXNf7+/fuL03v27BmbE2xL1VCpsspDPk7A MURr46dyj9waxfYAyaP1Z4VA1AMctf7Yd0LsZ6g24KjeQiD4Ir+g4IBRIFqz ByyOM26Z5u4Rt27dWpxeeXm5O+27wNS1LSWwvggX7bUMmO9uDeZtdOmB+YW3 EhwfP36M1p8VAlEPcNT6Y98JsZ+h2oCjeguB4Ih3795l8oT7jamoKysIAx/h aQKtoqJiIb2BgQGuIMGatAUBZZWHR/T8DK7g341aa8y28Hh7tZ8BHgJRNThq /bHvhNjPEDFaW1uzsrLi4uIkEsmDBw9W3X92dvbmzZvZ2dngEPDvqp/tOKq3 EAiOGBwcTEjhof4oljwMA2SHjEmL14tpaWmhsyyAASJmrbSs3fLJBDZqv1Fb I9nuHR0d6P1tIRB1QCmtv2xdrPVVsO+E2M8QGQoKCiw/pLCwcIX93759y2Aw lhyycg2B1gqBqIK+vr7oxMzDFgzUlVUe350PyM/PX0ivsrLShfonGlc506gq GATSFiCudP6GBgm4MLTjUokqnTAcAtkMKMtaJdQ/rCmgtaor4GPZ2traysqq tLT0xYsXoMWRW2hLS8tyhyQnJ4MdXF1da2trW1tb4+Pj5Yc8f/58uUOgtWKH 8fHxzs7OpqammpqasrIycIcizZOAN3hRUVF5efnNmzfv37/f29sLH4PFBT09 Pcw4jq4lE3Vf/dFaLxAlUql8EvXJyclcscDS/zOlLyuwcrhGaANr9WdvaMoC uyBNDo81NDSE9l8YAsE3SrTW6YrTCga0VjUmLCwMVCo+n7+wJTs7G2yJjo7+ 5P79/f1AccEOi58UDgwMXLm7FVor6kxPT3d0dFRXVwtFvPg0EiXK2JN+0DZw r4WflrnvZyCs/Lc6kH/vE3osJJaQksmQyaQNDQ1LZjGCYA3wfmSxuYfNMdHX ahRYsO8CsaCgQJ7bwMBAWlaUPU0TSWUF4Ru/fYNDW4FmW/pvEYlzwLsG3b8v BIJ3oLUqEexnqGomJyflCrp4gpcXL16ALWD72NjYx4dIJBLw25SUlMUbX758 2draChqp5V4IWiuKgJb3wYMHhYUFcalEr5DDlgFbnMO0/BK3UzJ2hebsYYh/ 7AdjiPbS+btJaTu9Y7fZB2sSAraTmOc5PFZlZeWrV6/QvgjIpxkaGkpM4x28 FIq6shr/sIrlYRNSSUmJPLfOzs6YFD9lTfuveIA6DKwVVPJ1nyGIu8sl6GtQ 81H920Ig6gC0ViWC/QxVTUdHh1xQlyyLbG1tDbY/ffr040OSkpLAr+rq6np6 eioqKjIzM8vKysDPK78QtFa0ADcUpaUlrGQfe9KXjnTNwNSdC5q6coQJ9/jG b7cmbfEKOQTctaam5u3bt2hfDWQpExMT/GzRfiMK6soKQt8755wN/erVq/Lc wAcIM9F144/zrzWombuAtToEr7+PF9y40VhmK4ySgkAgCgKtVYlgP0NV09ra Kh+humQ72LLc0Fb5iIKsrCy52cqxsbG5fv36Ci8ErRV5ZmZmbt++nclPcKX9 GbTg63siJkKyNyBpByFwCznSUJqXCyddxyBFRUUHjUmGAXmoW+sZVw7Bi9nQ 0CBP7NGjR+Hx9khOICAP+TQCdkHrt1ZrsgaHF9Pf34/uXxYCUQOgtSoR7Geo apqamkCN8vb2XrI9ICAAbAfO8/EhPj4+clP18PAoLy8HshocHAz+CyR2hedt obUizPj4eGVlZVSSF4GoBbRzgxoQLtrrHrnVgfy7DF7c3bt30b44yAeA96Ch Y+g5Dx7q1nrcNs6fntje3i5P7MmTJ8wEF08W0n2tQdz5vlb79fa1UjN2OVH+ cPnyZXT/rBCIegCtVYlgP0NVc+/ePVCjgIgu2Q48FmwHTvvxIUBWwa8cHR3f vHkj3zIzMyPvm01PT1/uhaC1Isno6GhZWVlQtKktVYMu2OgiQQsRmLqTQNzK 5tBv3bq1ZEgJBEXa2tp8aAnH7eJRt1YdUzo7jbcwvv358+esZB83JtLjWsnp 8+NanULXOa4VHAjSXnBvCASyEaC1KhHsZ6hqXr58KVfQJdvBFrD94cOHHx8i 71nNyspavBH8F2wEv1ruhSyXQSlXAVnM+Pj45cuXSUx9R7pmuEjJMw7RuLus iJoJaZRP9sNDUKG/vz8hladjEoyusp73E+uakAsKChfuaEBiKZkMUA8Rtlb/ xPk5BNwj19PHS83YZU/6bX6BDM4eAIGsieVaeWitSgT7GaqakZEReaWanJxc 2DgxMSHf2NfX9/Eh8tlZl1jrzZs3wUYSibTcC0FBRYbZ2dmrV68Gs8ztgzUV fOpqrRHM200gaqVyI9ra2tC+XMg8wBJLS0tPWgTpe+egaK0nHdjORNadO3cW EgM3UDm5mVZE5JZzlQfwVWCtfolrnq81QrLXlqKRkE6FHa0QiLKA1qpEsJ8h Asi/3L9169bCFrmCOjs7f3J/+cxXS7pV8/LywMaMjIzlXgVaKzI0NzfHpRJt KBrhuSqc152ascuGuAsIySfvayDIc+/ePR9awjHrGLSU1Siw4MDFIHYab0mV KCsrsyd9ucFlqtYawDyBtQat/fFDL9ZW37DjFRUVcAAMBKIs1N5awafFugOZ DNUM+XKuFArl3bt34L/gXzKZDLYsLMs4NDTU0NDQ2Ni48F8bGxuwA2iP5Ft6 enrkIwrq6uqWexVorQjQ39/Pz0mzJm4L5qlcEnzit3nQD4A6AJfQwgKjo6M5 QrHORfIFPwkq1nrahWPsFPrxBKd37twhRxr6Jmxomao1RUj2HqCs61iQi5y+ 0470hUgiGBwcRONvCIGoJ2psrQvyOfs/MTO7eizsvA53hdY698MgAblzenl5 JSUlgX/Bz4GBgQs2Iu96tbKyWjhEJBLJhxAEBQWx2Wx7e3vwc0xMzOzs7HKv Aq1V1bx//76iosIn9KhvPEKGYE/TZCX7tra2on3pkHlu377tRopFpbvViJh/ 4CIths3t7OxcklV3d3cKl2EXpIGYtfrEbQPWutalDYK4uwjErRwe6/Hjx6j8 +SAQdUUtrXWxrwIRnZqZm/whJqbnY3yZkP9Wvic4RG6wa3JXaK1yenp6KBTK wsBpMpm8eA6r+vp6+Yysiw+pqqpydnaW7w+kNzk5efHI2I+B1qpqnj9/npQR YkvRQGzN92DebhvirjyZeGJiAu2rh8x3t+aKpUcvUfS9shG21hP2bAv3CPCZ 8PEX62BLcXGxPenLdXxfv44Ald+atAVYK4WzU/GjqJlAWTXB2+eTs6ZAIJCN oH7WuuCr0z/4KtDRd1NzI5NzwxNzb8bnhn6IwbG5gUUB/ivfDnYAu4GdwSHg QHD49CJ3VVaGm4SRkRFgPq9fv1Z8TFd/f/+rV69W6GJdAFqrqikvL3cP3heY utGpWdcULuHazAQX2N2KEdra2kJZaTomwYZEGWLKqu8tPHSRwuULl1vQ+cGD B9FJXuueh2pNEZC0AygruHdT/BDwlrEmbkvJDIfTYkAgqkDNrHVBWeW+2jk8 R7s6p5s5tzNmTjtK0QA7H+HOhVbPHy53VwXFFVorYkBrVSl9fX0cHsuajNz3 sPII5u22I31RXFwMn17BAuD+sbKy0sYn6ighGhllNQyQ6ZjQwlhpKyx+OjU1 lV8gcyD/npy+hv7PdUS4aC8hcL6jVcF7N8aPa2f8PpOfABdvVUvevn376tWr Z8+edXZ2grsq+DGFCkq01jWF6qxVrqxjU3Pi1rkv4ua0Itcfn8fNnwScakFc N54hRClAa1Upd+7coUQZ+8QhvXQmCLsgjZRMRnd3N9plAJlnZGQkLy//rE3w SYckVSurUWDBIfNwZyLr6tWrK3/h8uTJk+SMUGvSFqVPILw43CO1FV8SC5gt gbSFxDSQ5ongOsVqxvT09IMHD65cucLJymHGcagRKeDGKjGNV1hU1NjYODo6 inaCmwtlWes6WOurrOqE8u7Q6dn5DlJgm0A7NTcc4CTgVOCE4LSrdrdCa0UM aK0qpaSkxIa4JyR7D/LW6hu/HQgzXOYVO4A7CH6O+IQF9ZRTqkqVVdcy0tKT WVJaOjY2tnJK79+/v3btGqgn80NKVFMPgYUCZbXw+yx4xVm2GKK9AUk7bCka brRv07iR1dXVb9++RebvAkGGnp6e4uISGjPlNIG235iqa8k8Zh1zxCrqoCld 15TsTo7LFUmB06Kd5iYCR62/ItY6Mzv/LNWzobk9sXMaTOUEOFXH0PxpZ2ah tWIFHNVb3PHmzRuugI388AB5BPN2O1L+cOXKFbSLAfIXnj17lskTfm8ZdMKe rZKBAUTZYXOGpQezoKBQQet79+5dQYHMnfadV4zyvxGgZu4y9/1PQ+fffPLr hgjJXrpgN5BVF4a2VYCmb9jxlIwwUGNfvHih6j8EBGE6Ojr42SIDO/oh83A9 T8GSenveT3zMJlbXlBLD5sJlqREDR63/yk640NH6bmou6OrcFqYyg1w5f9pV u1uhtSIGjuot7gCKwkr2dlvjVD9KDMuAz3JF/JUnkYAgDFCybKEYNN+6lpGG Acp8OEvfW6hjQnMmskpKS9fUUdnX1yeWZDtR/uAdq0xxBcpq6a9xyeFbM6ev bIi7QG20pWrYB2s60jXtaZo2FA0Lvy0OpN8RI86ykn1zxfyamprOzk5oLOpH T08PL1t0zIz6vWPyChVYz5N/wJjKjOM0NzejnfKmAEet/6rWOvt+vkf07cSc Dmfus4j1xImsuaKHcy09c76XP9h+IH3+tJOrjW6F1ooYOKq3uOPevXs0lhli 07R+HMAN0rKilnuEHIIWvb29BQWFLsSYAxeDzrpzlTIq4KRDko4xiRKeePXq 1VUHBnzMq1evhGK+K+0bN6a2UlYcJqbMzwAQw6aIxeLa2tqSkpJcsYArSAAV MoXL4PBYvOxkqVR85cqVhoYGcH+3jpwhuGB6erqoqFjfjr6ysv7PnVfOoYtk Djcbru6HADhq/Ve11pkfRrQOjM2PR/0PxnoC+OoCx7h/2a7BnD8tOPnKgwSg tSIGjuot7qivr/cLP0lKU+0D2iuEa4R2bErAxzPMQ1AHSFp1dXUMm3vaiqZr EbGRqVzPuGbomNAO6rkbGzsEB4UWFxeD26Xh4eG1ptTT0yOViYiMs7ZUjY0s 4haeuxeoryPlv4CjLp4BYGpq6u3bt4ODg69fvx4aGhodHVVkaj4I3mlra6NG pBw2ZyhYn4HcmrkzwM0X2omrPzhq/RW01r7RuX8PX0/Qr31wwgvCD34LTgut FTvgqN7ijtraWk/6QWoGErO4fzI8orZGsd07OjrQLgnIpwF/moKCQjIj6bgZ BTTrZ1w5ik/oesFPAtr3H3zV7/uTHgYnPC0Mgs30KdYmFDo5ns8T1tXVAT9c Uz7AKisqKmJS/GyIu0DlCc1Z21OEDPFef/Z2K6IGJcoYCPDz589VVG4QHHH5 8uXvLYMUvy8zIubvN6ZyuDnruPOCrAkctf6rWqt8UGvv6Nz/CVtzfMWeX2Jg gedvlu4ATrswtHV9GUKUCI7qLe6orq52o31LQ2TtoU+GF2srI8ERLoWJZSYn J9va2oC7hrHSTF0Z+w1Jhy0YQEfPefDO+4mNAgsWWnMgtAY+wjNumcft4g9e CtlnEHBUz1/vrJ+5PtXTJpXmKQv2ygdBdBI4mcWY6pH8PCKzuNm3bt1a05fv MzMzra2tYkl2MMucELDVNUKbkrFr1WXd6Pzd3rHbCIFbfEKPZfDiwP3ayMiI 6goNghfevHmTlik4cDFoTV8fHLOJDQhht7e3o52+moOj1l9Ba+1+O/dvoWuO 6g8n2DPIXroDOC20VuyAo3qLO0Db7UE/gG5fayTbDfa1Yp/p6elnz55dv349 JTXdzpV4wtD9u1Ou+/R8vzXw/+5C4D5D0rfnid8Z+B/Q9z+s53/inB+Q1Ytn iXYmTF/7TLmsLgmqh9TVMvGSPokWGCfLy1/rU/nAOW/fvi0SC0D9caX92dL/ M6dQLa+YbcTkHeT0naBKUzg7A1N3+MRvA1prTdpiF/g5jWXGFcyPqoVTBEMW 6OzsDGOlH7GKXJO1nnbh2PhENTQ0oJ2+moOj1l8Rax2dnOt6O/f/hawtPEo+ OFXsjU/sA04LTg6tFSPgqN7ijps3b/qEHlP1wkMrhFuENivFF45rxQsPHjzI 4vItjH3OHXUx16ea6VMungkwPO0Hwuj0vKaaGwTZXGQ4W8T5OXCDPPM+6auL g+ImBmZrc4mawRHcuXNnreNIx8bG2tvbKysrhSJeQjo1LM4ukKkHqrQnXcc7 VNefcTqYZc5K9uVlJ5eWljY1NcHn/iBLePLkCSk86ZhN7Jqs9ZwHz8QlvK6u Du301Rwctf4KWuur4blf09cQ2pEfjA14NjS/5ePdwGlHoLViBhzVW9zR3NxM iTL2T0RtDgFHumZKZnh/fz/aJQFZhffv3zc2NqYkZVlcILlaJS42T2CnVA/p qoK6QnjZppvpk2Ki0mpra6enp9eR3sTERFdX18OHD4H6gnsxcJ4bN240NDS0 trY+f/4cLgcAWY5nz57Ro1LXupDxGbdMS08mqGlop6/m4Kj1V8RagVi+HJ77 5+APQos5d44//++S7fKQtX1wHrDnJ3d7Ca0VS+Co3uKOp0+fRrLdPKK2omWt VsQt2cLM8fHx1XOFoEp9fX1CDAe4pZ8DdyOCulwEOmeb6VMYIezq6uqZmRm0 LxeyWejr64tL4h4yC1uTtZ50YLuT4+7du4d2+moOjlp/xa31H2l/Cc2I+e5T wND43IHUD34Fwlz8wUmi65busBDQWjEFjuot7nj9+nV6VpRdEDprY4Vk77EN 3FNSUrJ6ohBUaWpqYsdnXtInEZ0EqlBWeZBdc831qcyw5Lq6OjiTPwQZwC2S TJZ/0Jh0wV+quLUevBQaw+b29vainb6ag6PWX3Fr/YegvwS54i/7AHHdl/KX X21h/Ci0csDPYMviYxcHtFZMgaN6iztmZ2fz82VWAdvChGubQUgpEZC0gxhx Fj7RgHE6Ojo4aXwzA1KAE191yioPkqvwkj45IYYDe7EgiFFfX+8YwDpuF6+g sup58k9aBBUWFsHpfFUNjlp/xa3176l/CefCD3a72zX3n+E//iqy9oNffZ/1 wYFLAlorpsBRvcUjN2/eDGCc9mejMLTVMUQrPo0El3THMsPDw1JJnrUJxduO o2pllQdwY/PzJF6WED7pD0EGUMkFOeJDF8n63jmrKqshUaZjEhwek/7o0SO0 E1d/cNT6K2itr4bn/l/KB1H59IM9G7vmN57kfrCRWbP0qCUBn8bCFDiqt3jk 5cuXbA7dnqaJsLKG5uyxDtguk0nX9/QNBBmuXbvm5850NItBRlnl4U5IciLQ S4pLYN2AIENLSwszjnPAmGrgk7uysh62YDj6s6qqqmBHKwLgqPVX3Fr/H/IH 8ZvQeVNdTNrtD7Z0DM7vs+SoJQGtFVPgqN7ikZmZmaLiQgfy76iZiM7a6hG9 lcYyu3PnDtoFAFmWjo6O5ESumT5FkTmslBsEw1BmWPLi5VYhENXx/v37urq6 0Og0HWPyKee0ZQYGCHRMgh38WUXFxWtaFwOybnDU+iu4ygDQy/+btDT+LWR+ UOtyHM/8xCFLApwWrjKAHXBUb3HKw4cPWck+jnTkulvDhHsIRC2hiAunJMIs s7OzJSUldmY0H/sMhJU1+IcpBcwvkCRiKdQDCDKACg9uolM4AmPnsAMXg47b xZ9xy9Tz5J91537vmHzILOyEBTWMlVZZWfnu3Tu0k90s4Kj1V3xtrF8EfiK+ Svy0uDKuf3r/JQHXxsIUOKq3OGVqaqqouNCZ+lVgKkLLDbgwtENiCfA5LCzz 9OnTOFa61QU68soqD3vTqFBqAuxuhSBJV1dXRUUFcFcfWoKVJ9PQMdTMjeFC jIlOzCwoKGxvb4fTsiEJjlr/Va11ZnZubGquZ2Tu/wr8dBjmLD3q6eDcv9CX 3X9xgNOCk89Aa8UGOKq3+OX58+dpWVGEQA0EJhMgpe10IP0uPz8PTtOKZcrL yx0JdFQ6Wn/sbnXJsbhAys8vgJ4AQZjBwcG2trabN2/W1NTU1dU1Nzd3d3fD eog8OGr9FbTW3tG5X5Hn/ob46bCVfXCULmfZPRfH31PnTwutFTtYLgLtXNSZ 2tra0DhrxxAtlSprSPYeAlGTw2N1dHSgfcWQZQGtNjdDYKZPQUtZ5UEwCo2P 4cAFfyGQzYPlh6CdjqIoYq0T03MDY3M7o+d+HrBs+JbNDY7Nh41spd0WBzgh OC04ObRWjICjeotrJiYmSkqKfUKPuDG1VTec1YaiEZXkVV9fj/blQlbi3r17 NFKcs3kcutbqaZPq4xoB182EQDYnOGr9V7XW2fdzkzNzb8bnHArm/tpfmWGb P39acHLwEtBasQCO6i3eGRoakuVL3GjfqmKNV6CsdkEaoXHW165dg9+1YZyq qioHq2B/Rx661kpxF5udDywsKIRLZUEgmxActf6rOiH4DJuamRudnGvqnp+r 6n/5KSfAqcAJwWnByVf+mITWihg4qrdqQG9vrzQv15Ou4xKuzRDtVZayEpN3 nHf6jaPXuaioqMLCwqIfKCsrA3ZUX1//8OHD169fw/kPMcLk5KRIJDE9R6R5 ytC1VhAWBjROGn9wcBDtUoFAIEiDo9ZfEWudmZ0b/2GQQOyNuf/lP/czv40G OAk4FTjh+GrDAxTJEKIscFRv1QMgkAUFMhJT35aiEczbvRFZpfN3e0RvveD0 m4P6u/TMCedtSHo2wUcvUQ4aBx4wCjxqSj5rHWzpwfQNTkhI4eUXFDQ2Ng4M DKBdAJsdUAFSkrKsDENQV9bgH2YSiGKkPH/+HO1SgUAgSIOj1l8RJ5z9n+7W 7rfzy139MnDup77rD3B4ZO38qeQdrbOrfR8FrRUxcFRv1YaRkZGqqqrYlABr 4k5P1tbwtXe6Al91Dte64KJ90PDIvvMuBy7SjtnEnnbh6HtlX/CXGhJlIMAP +t7CM64Zx23jD5rSdU3JLoExHG5OTU0NECe0y2DzAhQxkpHiYBqNurKCcLVK pAbEtLa2ol0qEAgEaXDU+ivihPLu1smZubcT87ZZ92LONHfuP8Pm/tpv7q98 FI2/DZjTZMyZi+duds6fZGRy/oSrdrQqmCFEKeCo3qoTs7Oz9+7dyxXzyZGG BKKmV8y2kGyFJsViiPeCnS84axw0PPXdeT8gq4qs7g3ivK/ohH3ifiMywYvJ 5Qvv3LkzNTWFdjFsRh48eEAjxblaJqKurCC8bdN9XCPg1L4QyCYER62/gk64 IK6jk3Ov3829HJ5rfz3X0jN3t2uu4eXcrc4f4+aiWNh4+9X8bmBncAg4EBw+ qrCyKp4hZOPgqN6qH8PDw3V1dQJhOi3a1Ia4yyFY0yduWxB31yeHvIYJ9/gl bjdw/I3O+T98d94T+OoFf6kivrpkpe+TDmwdYxIxlF1WVgYHNCIPuFsh+7Hc CUmoKysIX/tMd4cwOI0ABLIJwVHrr7gTysV1amZ+MOrI5Pyo1L7R+WUCut7O L8z6cpkAvwI7gN3AzoNj8weCw6cUVtY1ZQjZIDiqt+rK0NBQY2NjfoEsiRNC Y5m50r6x9NMmBG6xpWrYB2va0zRtKRqW/p+Zee7Qu/S74ybWBy7S9L2y1+qr H/S7+okPmYWZujJyxdKuri60C2Bz0dTURPSK8rROQV1ZQfg78pxtQmpqatAu FQgEgjQ4av3X6oTANuXuOjE9H0BB303Nx+jkJ0L+KxDj0z/uL/fVmbU8wQyt FTFwVG/Vm5mZme7u7paWlqtXrxYUFGQLM7mChLSsKA6PlSVgczKSSSTKOQJJ 1yLCMEC2EWWVh1FgwXHbuLPWwfxsEZxnHknAn5jky/IgJKOurCD8HLhudqF1 dXVolwoEAkEaHLX+63PC2fc/yudaY9Vnr5SVIWQd4KjebirGx8ffvn07ODg4 NDQEbDZPJjNxDj9KiAa2uXFlXYiTDkmnrGjCXElvby/aV7xZaGtrCwqMc7XC xLhWH7sML2cGXJYCAtmE4Kj1x74TYj9DtQFH9XZzMjMzU1lZaeMTpWsZqURf XYgT9onn7UIKCgrHxsbQvtZNwdOnTxkhbEezGNSVFYQ7IYnkE93c3Ix2qUAg EKTBUeuPfSfEfoZqA47q7ebk7t27NGaKjindiJivCmsFAXzYhRhTXV2N9rVu Cnp7e9nxmdZGYagrKwggz0ChgUijXSoQCARpcNT6Y98JsZ+h2oCjersJGRwc 5GWLDl4kG/jkqkhZQRgGyPYbU+OSs549e4b2Fas/Y2NjAr7QVI+EurKCsDIM SU7k9vX1oV0qEAgEaXDU+mPfCbGfodqAo3q7CamurrbyZJ6wZ6tOWeVx1i3z DIFWVFw8MzOD9kWrP5cvX7Y2pQQ6Z6OrrEEeUtNzRIlEOj09jXaRQCAQpMFR 6499J8R+hmoDjurtZqOvry81Q7DfiKK6sQGL45BZWCgr7fHjx2hft/rT2NhI 9I5CfcpWH/sMV9tQODIEAtmc4Kj1x74TYj9DtQFH9XazcfPmTRufqO8dkxFQ 1vnuVvesczb0K1euoH3d6k93d3cym2t5Phhda7UzYTLDkuF9CgSyOcFR6499 J8R+hmoDjurtpmJyclIsydMxJq1jAax1x4GLQSkcwevXr9G+ejXn/fv3xcXF BGMKEb1BAlR3ialeoChXPD4+jnZ5QCAQFMBR6499J8R+hmoDjurtpqKzszOM laZrEYGYsoI4YZfgSYlrbW1F++rVH1DI4XS2nQkTLWt1sYgnekfBtVwhkDUx MzPz5s2brq6u58+fP3nypL29HfwLfgZb3r59Ozu7luWU0AZHrf9PcALa5bQp wFG93VQ0Njba+0WfckpF0lr1PPkGdvSrV6+iffXqz8TEhFQqs7hAQuWZrB86 Wkm8LOHg4CDaJQGBYJ3JycmXL1/evXv3ypUrYpGEk86Pi06LDE8OC06kUxLC g9ng5zhWeiZHIJVKKyoqmpubgcRi/yFHHLX+aNuooqBdTpsCHNXbTUVlZeUZ Ak3fW4iktRoR8/ddCJRK8/DVY4BT7t27xwxNJhiGIm+tDpeiyX6sGzduoF0G EAim6e7uvnXrlkSSB6Q00Cfa5hL14lmixXmanQkTvImczGNdLOLBv+Bnm4sM CwPaxbMBduY08OZKiOXIZLLbt29jeVo52PpD8Aistxjk/fv3Mln+/gtEZGYP WBw6JrS0zOy3b9+iXQbqz/T0dElxiYNVsKd1CpLK6ueYZWVEBg3x6Ogo2mUA gWAR8An84sWL8vLylKQsP4/IS/qB1sbh7oSkVQei0zxlAU58V6tEglGo+XkS 0SeKk8avqqp69eoV2tf0CWDrD8EjsN5ikPHx8SxB7n5jKsLKCuKwBSMqIaO3 t1cV1wU06cmTJ42NjTdv3qyvr29tbQUvtJn7dUFbxs3MNjNAbpwAxV18SZ+c lJDZ3t6O9tVDIFikv7+/oqKCHZ/hbE03NwgCsgreNet4r5HdREBfzfQp7g5h qclZV69eHRoaQvviPgC2/hA8AustBhkZGUnLzNYxCUbeWo9YRYax0ru6upR7 RYODg9evXxcIOVFsd3KkoW/YcWLEWXqMZSo3orCo4NGjR5vWXZuamliRaeb6 VIrbelrGNUWQZ56VYUgwOa62thbt64ZAMMf09PTt27d5WTkeDuEWBjRv2/SN v+lonjJP6xTgrr5uzJxsUUtLC3Y+62DrD8EjsN5ikOHh4WSO4KApHXlrPUqI pkeldXZ2KvFy2tragK8CTbUibnGL0A5I2kFO30lM2eEdu80uSNOB9Lv4NFJl ZeW7d++U+KJ4ATRh1dXVIZQEy/PBVHeJ6pQVtJ42xgw/98jLly9PTEygfd0Q CLZ48+ZNeXk5I4R9SZ/kZsUG7xfl3jA6W8SZGZBYzNSqqiqMDM6BrT8Ej8B6 i0GAv3Gycg5cpCFvrbqWkYxYTnd3t7KupbGxMYXLsCHuBI7KEO1lSj9fEtSM XbZUDRLzfGFRAUY+zBFmcnKyoqKCSoy1OE8ju4lU0svqIbU2CvN2iSguKt6c hQyBrEBXV5dEkuflzLC8QCe5ClV05xjonG1hQCN6ReXL8vv7+9G+aNj6Q3AJ rLcYBGhMtlC0z5CEvLUeMguLTeIqa6GBx48fc3gsAlELqOnHvroQwGadQrUC mXpA3rA/XYwqGB8fr6ysDKPNj4ILcOIrt60kuQiBDxN9okpLSoeHh9G+VggE W3R0dORki+zMaY5mMcrtYv3k/aOdCdPZJkQskip9INZaga0/BI/AeotNiouL D19EdGEseew3pvIEuUpZLwmcJE8mtiN9Tk7fuYKy/iiu4r12QZqsZJ+2traN vzQemZqaqqmpSYzjWFwguVgmKKv19LROuaRPigxPBncEY2NjaF8lBIItnj9/ zsvKIRhT3KzYKvXVxeFkHmtnRhPmiHt6elC8dtj6Q/CI5SLQzgXyF6qrqw0d Qs958JBUViDJhy6SioqKlHIJLS0tYXF2rhHaqyqrPGhZu20D98pkEuBvSkkA d7x///7+/fvZglwvZ4a5QZCPfcZGWsYAJ77VBbozgZ7JEdy5c2dmZgbt64NA sEV3d7cwW2xtQvFAdvY5EODO1MGCJpXKBgYGkLxkyw9B8qUhEKUA6y02Afbi RY0/YZeApLWecc0wd49Q1uTzpaWldqQv6PzdClorCKdQrYQ0snKfBcMdr1+/ rqysTIzjgEbN8nywl01akIdU8daQ5ikDukswCgVtcVRECvgroP5FJASCQUZG RmR5+eBd5mqZiLCyysPRLMbVLrS4qFgp322tA9j6Q/AIrLfYpK+vLyGFh/Dk V0esoigRKU+ePNl4/m/evOEKEq3JGoorKwh/9nYSU//27dsbTwDXvH///unT p5cvXwbu6ukYbqoXaGfC9LROIbks+5wI2TXXyzbdwTTa9BzJxSaExUwtLCh8 8OAB7GKFQD4GvC/AvaG/R6S9aRQqyioPG2NGEDG2pqYGlUKArT8Ej8B6i02A t5SWlp60oOp75yCjrIYBsv2GpJxcsVJu/F+9esXm0JzDtNZkrdTMXR70A9XV 1RtPQA2QL9ADWjRhjjiKkeLnziRcpFw8G2BhQCMYhoL2zuYig2AUanGeZnKW aGlE9nZmRIQm8XnCqqoqcOuxOZ9rg0AUoaWlBdzZgbfSmr7IUHpQ3MVm+hR2 fMajR4+QLwTY+kPwCKy3mKW1tdWPnniEEI2MtX7vmGztFVlXV6eU5Ds7O2NT /N0UHtQqj2D+bmfqV5WVlUrJQW0YGxt79uxZQ0PDlStXpBJpJkeQwuYmxHES YjnJbC4njS8SScrKym7evAlkFa7GC4GszPDwsFAoNr+A3Jp0K4SfYxbBmCLL y0f+YUnY+kPwCKy3mAV8iIkkeYdNSAa+IpV3tBJl+40oqRmCvr4+pSTf3d2d lBHiFLq2vlZKxi6vkEPXr19XSg6qZnR0tKen5/Hjx83NzUApb9y4cf0HwA/g v3fv3n306BEoh5GRkffv3yvrRWdmZoCXDgwM9Pb2gld//fo1aIJhtyoEojjg TervGelkHou6ssrD3iSSFhhXX1+PcDnA1h+CR2C9xTJAhwJD2YfNGaq21uO2 8XY+UUrURWB0AmG6FXHLmqzVN347NepiU1OTstJQOuPj4/Juz9LSUn5OGptD Zya4UKIM/RmnvEN13YP3udO+8wo57Bd+ksQ8z0hwSEinZgnYhYWF8o5QYLBo XwEEsqkBN+aZHIGpHgndsQGLg+ImvqRHyskWIfxFCY5a/5/gBLTLaVOAo3q7 CZmamiosKjpnE3zKOU11yqrnJdA1pWQLxcqdgr6iosKZ+tXK6wssCbsgzZSM MHTnMPwkMzMznZ2dtbW1InF2TIofMeKcXeDnBNIWp1Atj+it/onbA1N3Ujg7 g7i7QIAfwH8DknZ4sbY6h2lZkzWsA3YCj41iu2cLM65du9bR0bFpZ/eCQNCl pqbG142J5OysioSTeSzFn4Xwg6g4av3RtlFFQbucNgU4qrebk5cvX6Zzsw9e JOt7C1WhrBf8pfuNqVEJGUqf3v/hw4dA8ByCNRVUVnL6TmC5JSXFs7Ozys1k I0xPT7e3txcXFyWm04B5WgVouYRrAyMNyd6juI2HCfcQU3a4RWhbBmzxCjkc m+Kfn5937949tGa8gUA2J+DGnM8TXsJSR+tfulv1A0UiycTEBGKlgaPWH/tO iP0M1QYc1dtNS1NTEyOWc8CYet5PrPThrAcvhfjQEq5fv67EsZdyZmZmgIK6 0v7sG799Va8LzdlDCNRIyQzv6OhQbhrrBsgz8NWCwnxWsq8D+ff2wZpAVsNF e9c05mFJMMR7A1N3OoVq2QbuiUhwkuTltrS0wFGpEAgytLa20ikJjmYxqGvq x2FnwoxkpDx+/Bix0sBR6499J8R+hmoDjurtpgX4ZF1dHTUiZb8x1cAnV4m9 rAcvhToTWRUVFZOTk6rIvKenJyeXa0fa65e4kriGZO+xpWhEJDgrawaDjdPX 1weKJSGNYk/6rWOIFjVzDeMcFIlg/m4XhrYNcWcU2xO4/SZfWAECQYaysjIb U2qAEx91R/04fOwzXGxCrl69ilhp4Kj1x74TYj9DtQFH9XYzMzMzU1NTExKd dsCYctY9a+PKqu8tPHCR5kWNKy8vV+mMK0+fPs3OzXAJ+topVCv4o3WyGKK9 vvHbCUTN6CQv8HGNhdGes7Ozzc3N/JxUn9AjwKXXNC53He7qEKzpSvuGw4u9 efMmFi4fAlFXhoeHuRkCM30K6oL6yaB5ykzOEoVCEWKDBHDU+mPfCbGfodqA o3q7yQE2VV9fn5DCO25OPWYTaxggW5+vGgUWfO+YfOgiOYyVdu3aNRX1si6m u7u7oDCfmehqF/g58EA3prZ37DaP6K3AYy39Nf0Zp3jZyQ0NDVhYxWl0dBTI c1wq0Zq4Deh0hGRD4wEUDGLyDiuiJiPBsaysbHBwEO0ygEDUkydPnkSEJjmY RqMuqMuFjTEjjpX+8uVLZAoER60/9p0Q+xmqDTiqtxDA48ePc0VSB7/o/cbU 751SjIj5a1LWM64ZOibBl1wZmTxhc3MzYs89ATdubW0tLi7m8GJYyT5hcXZA YhPSqWJJdk1NTX9/PzJprMzAwEBBgYwcaWhD0QjmLe0WVmmE5uyxD9b0CT0q luQg1mZBIJuKW7duebtEeNmmo26ny4U7IYnkywKfzMgUCI5af+w7IfYzVBtw VG8hct6+fQtMLzmdb+Eesc+IfMwmVs9LYBRYsIKsGvgIT9gnHrgYdMEhNDoh s6KiAi1RBGbY0dHx8OHDR48evXr1CoGeXgXp7u6W5uV60g+6hGszNvbI1foi QrLXk7XVifKH7NyMp0+fol0eEIi6AT73bEypgS45qNvpcuHnwHW1CQUf78gU CI5af+w7IfYzVBtwVG8hi+np6amurs7kCX1oCeds6PsMSYfMw4HBnnRIOuWU CuJ7x+TjtnG6FhH7jSjfWwa5kmKTOYLy8vIXL14ofboAvNPV1SUUZbkEfe0R tRV5X10cvgnb7UhfcAVsVNYlh0DUFfChJ8uTmZwNoHnKULfT5YLsJrIwJJWW liJTJjhq/bHvhNjPUG3AUb2FfMzw8HBra2tlZWW2UMRic8mMJA9KnDOR5RjA cifHEUPZkfEZWYLcy5cvNzU1vX79Gu18sQgoFrE0x5nylXfsNnSVVR7ElB22 gXv4OWng/gLtsoFA1IR3797xsoSYfRRrIS6eJYrFEmQG+eOo9ce+E2I/Q7UB R/UWsgITExN9fX1Pnz5ta2tr+YH79+8/fvy4p6cHfFyjnR12Adqfn5/nHnzA k4VyL+vi8GdvdyD/Tijm9fb2ol1CEIg6AN7pnDS+5flg1L105TDVI+UIRMgM ncJR6499J8R+hmoDjuotBKJcZmZmysvLAxinXSO0UTfVJeEdu82N9m1BYb5K 5yWDQDYJAwMDKWwuwTAUdS9dOcz1qTxuDjJdDThq/bHvhNjPUG3AUb2FQJTL 7du3o9gedkEaDDEKj1+tGs7hWrRo0+rqajgOGQLZIK9fv05K5BKMsG6tFgY0 boZgZGQEgTLBUeuvoBMODw/7+Ph8+eWXv/rVr/71X/9VX18/JiYGmY5raK2I gaN6C4Eokc7Ozkx+PIGoFZK9B3VB/WSEi/Zak7YkptMePHiAdmlBIPhmaGgo LYVndYGOupeuHGb6FAFPOD4+jkCZ4Kj1V8QJ79+//4//+I8/+Yjvvvvu7du3 WMgQohRwVG8hEGUxPT1dUlLsGvQNMXkH6na6QgRxd9kG7pVIhaOjo2iXGQSC Y0ZGRrgZAgsDGupeunKYnAvMFYrBBxQCZYKj1n9VJwR/X01NTflu+vr6Mpks Ly/vxIkT8i1//OMfUc8QoixwVG8hEGXR0tISxXZ3pGui7qWrhnukdlC0aV1d HdplBoHgmKmpqVyhCDgh6l66QgR5SE31iAUFBciUCY5a/1WdMDU1Vb6Pvb39 4u3AYOXbnzx5gm6GEGWBo3oLgSiF0dHRXDHfmridzkd0Aaz1RXjuXiuiBleQ AOcTgEA2QklJicUFEsVNjLqdLhdE52w7c1plZSUyBYKj1n9VJzx8+DDY4Wc/ +9nQ0NDi7VVVVfJjY2Nj0c0QoixwVG8hEKVw9+7dkFiCeyTm5g1YLnwTtgcw Tl+/fh3tkoNAcAx4BznbhPg5ZqFup8uFl226j2tEQ0MDMgWCo9Z/VSdsaWlJ T0+PjIxcsr24uFh+bHx8vCoThNaKHDiqtxDIxhkbG5NIhdbE7Zh9COvjYIj2 WhG38LKT4ToREMi6uXfvHpUY62KZgLqdLheOl1gMOnLr4uGo9V+fE05PT8v7 YAHPnz9XRWILQGtFDBzVWwhk47S1tUUkOGFwgtaVwyduGznyQn19PdrlB4Hg lZ6eHnZ8BpYnvzI3COKk85d8x606cNT6r8kJx8bGamtrAwICdu3aJT9QT09P penNQWtFEBzVWwhk41y+fNmJ8scg7i7URXRNESbcQwjYlpcnnpqaQrsIIRBc Mj09LRZLL+kRqe4S1AX14yC5Ci0MSUVFRYgVCI5a/zU5YVpa2uKZrwwMDBCY 8hpaK2LgqN5CIBvk9evXGbxYa7IG6ha6jnAK1YpLDXz27BnapQiB4JUbN274 uDI9rFNQd9SPw8UygeLHamxsRKw0cNT6r8kJAwMD5U9mLYjrqVOnVL3cGLRW xMBRvYVANkhzczONZeYduw11BV1HEFN2+IQeq62tRbsUIRC88vLly8S4DGyu NWCmT+Gk8ZEcu46j1n9NTvjmzZvh4eGJiYmqqqqdO3ciM0gAWitiWC4C7Vwg ENVSUVHhTP2KhrfhAfKYnwIrYFt+vmx2dhbtgoRAcAl47xQVFduYUv0deahr 6uLwtuM4E+jl5eWqLgHLD1H1yymLdTvh4ODgv/zLv4Bj/+qv/qq9vV3piS0A rRUxcFRvNxVTU1Pv3r0DN4xDQ0MjIyNjY2NwMfoNMj4+LhTxLAM+Q90/1x12 QRppWVFwJgEIZN08fPgwipFibRyOuqkuDsvzwYlxGap+zn0JOGr9N+KEZDJZ fnhOTo5ys1oMtFbEwFG9VW+mp6d7e3tbW1uvX79eUlIiFWZLMlIlKXFiNkuS lijJ4sikUnAnfuvWrSdPngCbRTtf/PHq1auENIpTqBbq8rnu8GRtDY+3B80u 2mUJgeAV8ElbUFBobULxdeCiLqvy8LJJc7SiX758GeGuCRy1/qs6YXFxMYvF kkgkH/9q4eGsmJgYlSUIrRU5cFRv1RUgqw0NDQV5UlFMeI6XFc/4IPfYHoGO pviQVp6udr6utvSwVu5BTa6OFu/sHwSE00KKpyQ9+cqVKw8ePBgbG0M7fdwA iis0zgang1rlQUzZQWScuX37NtplCYHgmMePHyfGZZgbBAV55qGurNT5VVxJ nDTey5cvES4HHLX+Kzvh7Ozs3/3d34EdNDQ0Pv6th4eH/HCVLjoGrRUxcFRv 1Y/Ozk7wPhKzWQJHw6wjOwqPaNed3vng/J6XF7/ov/Tlkugz/W2H0efNersr T2wHEsvT/0ZIcs0TZt+5c2dkZATtS8EB4NYAKB8QP9Tlc91B4+5yCfr66tWr aJclBIJj3r9/Dz54vZwZzuZxqFurvWkUyScalacscdT6r+qEp0+flu+zpLv1 xYsXv/rVr8D2v/7rv1bpNALQWhEDR/VWnRgcHATuIY5j8k0OiQ5p3Tqzs9P4 E6a6Qjw8v7fixHae7o4cT8u8bP69e/emp6fRvixMAwocKB8tazfq8rnuCBft tfLbiuSMjhCIWgI+gUW5Eitjiq99JrpjA+zMgmR5+aOjo8gXAo5a/1WdENyG /PSnPwX7/P3f/31OTs7s7OzMzExZWdl//Md/yI+l0WjoZghRFjiqt+oBuM0H hinlcwWEM+JDWk16u/tMf7smX10cwHWvfb+dd3R3Ls27tLQUPqezAuATzIa4 J0yIm4VcPxmW/p+JJELwgYx2cUIg+Obx48epSVmX9EkkFyEqyhrgxDczIHE5 gs7OTlRKAEetvyJOSKFQFiZo/Zu/+Zuf//znC/89efKkqqdegdaKGDiqt2rA 2NjYtWvXRBFU3pGddad39m7AVxdHh9HnBUe0+aaH8wRZ8FGd5SgqKrLy28oQ 7UXdPDcShMAtObmZExMTaBcnBIJ7bt26FR2RYqZPobiJEVZWoMpAmBPjOE1N TWhdPo5afwWdMD8//7PPPvvJIn79619nZGRgJ0PIxsFRvcU7b9++LS0pyXYz Ex/SemK4Vym+ujiABmcd3ytOiGpsbITTZH2MTCYz98XxtFfysKFo8LKTUfk+ EQJRM2ZnZ69fvx5GSzQ3CCK75iKmrIEuOUCVo5kpQJtRvHwctf5rcsKXL1+W /UBXV5dKs1oMtFbEwFG9xTXDw8NFBfkCwpmio1u7TZTTxfpxtBns4etuE0XR 6+vr0b5ibAE0XiIVm/vh3lptqRpcQQK4A0K7RCEQdWBqaurq1asMOhtoZKBz NjIDAy7pk2Ii02pra9FdMQRHrT/2nRD7GaoNOKq3+OXdu3clxUUCy5OXj29T 1qiA5eLxhb3Zh7RF0SF3795F+7qxRUFBgbmvRoQE3yMErElb+DlpcMYzCERZ TE9PA4GMjUoz0yd52aarVFndCUnm50nshMz6+nrUF7nDUeuPfSfEfoZqA47q LU6ZmZmpqKgQOBiWHN26kQev1iSufN1tYjbr0aNHaF89higpKSEEbA/Pxbe1 WhG3CEW8yclJtIsTAlEfgEA2NjZmcgQ2l6j2plEUd+UPcyW7iWwuMhysgnlZ wnv37qF9xfPgqPXHvhNiP0O1AUf1FsuAD73e3t779++DO+jaH2hoaHj48OHA wMDt27eFVK88Xe0elQ0M+DjuG+zhnfwiL5sPEkC7bLDClStX7EhfhGTjew4B c7/PJBIR6r00EIj68eLFi7y8fIof65I+ycM6heYpU4qvBnnmuVmxwTnp5PiC gsLu7m60L/RHcNT6Y98JsZ+h2oCjeotNJicngawWFRVKeSwJ200SbSJh6s0H y0ya7M1JDAt0dYz8estTFTx+tXLUntrBNzsKVA3OkiSnpqbGk65DzdiFunmu O0Jz9tgG7iktLUW7LCEQ9WR0dPTGjRsZHIGbXaiZPgW460bWzwrykM77qh7Z y5nB4+Y0NDSMj4+jfYl/QSmtv2xdrPVVsO+E2M9QbYDWuhG6urqKi4uk6RRJ yMGKyG/upeu8EOr2SI6CeJat25R6oCz8T5kev088qSU6pPX4AtLiKtPVzg0J AFKNdjlhgqamJkqkoT97O+ryue6gZOzypB8E+o12WUIg6gz4YK+srExL4Xk6 MUzPBTqYRvs5Zine9Qpk1dc+094k0lSP6OPGBA587dq1/v5+tC9rKcqyVjOf /1xTQGuFbARorevm4cOHebmZEsbJa6w/98uOTVec/mS8zD1yJeJrodPnvMOa zXq7kbTWJ4Z7s47vleUK4cM7cz9MKs5McPGI3oq6fK47/BO3U6IMUZzgEQLZ PAB3ra6uzhbkhgUnOhLoJmeJ1kZhzhZxXjZpAU58kquQ4i6mekgpbmKSixBs 8bRJdTaPIxiGmpwjutiEMEOTcoXi2travr4+tC/l0yjRWhX/EIPWCtkg0FrX x7yyChLyQvY/4h1azlcXYqr8VGPKfpH377KOaN3T34OkuFac2C70s2tubka7 wNCnv78/jcu0C9JEXT7XHa4R2qxkn46ODrTLEgLZLIyOjj548KCqqkoskiTE cuiUeF93pqMV3dqUYmFIuqRPBP/amFKdCHQ/j8hQagI7PlMilgLdffToEca7 C6C1KhHsZ6g2QGtdB93d3TIRV0rf/0p0ZFVlXYgHmQdzvb7kH9LsMPocMWt9 ZvR51tHd+RIRXE1pZmYmTya18tcOV+XyWHTB7oCkHV6src5hWvY0TVuKBoG0 xYaiAWzZKVTLI3qrf+L2YN7u9Z2cEDg/7dXIyAjaZQmBbDomJye7uroePnx4 +/bta9eulZeXl5aWFhcXl5WVVVRUAE29c+dOe3t7T0/P9PQ02skqBLRWJYL9 DNUGaK1rZWpqqqSkRMI41Z61ei/rkmhg78ux3SvT1Uayu/Xy8W25wT5PnjxB u+TQp6amxivkMDl9p9JllZq5yz1SG1jlRY+d5xz2nyScPmpmesjERsfY8YCR q46x00ET2yNmZicJZ8/a6xi777EibnFhaK8pEzp/tz3pt6CJRLsUIRCIOgCt VYlgP0O1AVrrWnnw4IGUQ6uK/matygpi4vKpwpD/zjqh3aKP3ADXVoM9POOD VVVVaJcc+rS3tzMTXd0itJUlqxGSvQFJO2woGkZunwNTPWDsvN+IcsQq6qRD 0lm3TH2vbAOf3At+EgNfkb53zln3rO8dk48Sog9cDNpv6H7cSt/Q9fdAdH3j tzMU6P71idtGiTJubGxEuxQhEIg6AK1ViWA/Q8RobW3NysqKi4uTSCTAlxQ/ cGRkJCUlRSAQrLwbtNY18f79+9LSUkmobq902cevVo5HvENCx8+Ljm5FzFr7 TH8r0NGU8rkYH2SFAO/evROK+ZYBGopY4qoRmLqDQNpy3vmrw6aE/cbUE3YJ Bj5CY1KhInHeVwTMVsck+KCxg57DPsuALX6Jq0xuANyYw2Nh9skOCASCL6C1 KhHsZ4gMBQUFlh9SWFio4LFAdMH+Hh4eK+8GrXVNvH79Ok+QcCXi6/Upq7y7 NY/6R+4hjS6TL5AcJCAKC3zx4gXa5Yc+NTU1PqHHiMk7NuKrIdl7HEO0DN2+ OGxqrWNKP+OaoaCsfhznPHiHzMJ0jB3PO//RLkhjuSGvNO4uR8p/weEBEAhE WUBrVSLYzxABXr58aW1tbWVlVVpaCnwjPz9fLq4tLS2rHltdXS3fGVqrcmlv b5cmezelHli3tYK4xvoz7+y2VgPkJhO4fXZXtqPh3bt30S4/9AFvJTaHBvxw 3cpKTt9pGaBxknB6vxHptEv6un11cZx1zzpwMeiYhaGZj/YnZ5R1CdeOSHCG U+9CIBBlAa1ViWA/QwQICwsDlYrP5y9syc7OBluio6NXPrC3t9fOzg5aqypo bGyUxFo+FRzeiLXeTTkgMNlVf2YnYtbafmEvz3A/uJdBu/zQZ3Z2tqyszJn6 1fqeyfKN337RY+chUxtdS6ZhQJ5SlFUeRsT8YzaxB4ydDd2+cI/8YOQtXbDb hrgzTyaGE0FAIBBlAa1ViWA/Q1UzOTlpZWUFKtWzZ88WNr548QJsAdtXGKA4 MzMTHBwMdktOTobWqnRu3rwpiTJa04RXH8f9DJ1si911p3cgZq2vLn7BPbq7 pKQE7fLDBE+ePIlPI9nT1jxxqydrq5Hb5/uN3L93TFairy6OM26Z+w19zzv/ t3O4VoTkx8G3bhHaYXFw0l0IBKJM1N5a379ffyCToTrR0dEhF9T3HxaftbU1 2P706dPlDszLywM7MBgM+RmgtSqX+vp6SbRxZ+6GrLWVo5NtDqwVub5WELwD Gnli0ezsLNpFiD7gzq6kpNiV9s2aRrd6x24zdP1yv6EPEEsVKas89LwE+4wC 9Z2+cWHM97jSuLtsA/dKpLnwYToIBKJE1NhaF+Rz9n9iZnb1WNh5He4KrbW1 tRXUKFdX1yXbwZYVhrY+fvwYiK6jo+PAwMCzZ8+gtSqdpqYmSZyNIuthrRC3 k/YLjHfePrsLSWvNOagpFfAmJyfRLkJM0NnZyeHFWBE1FFxxwJ+9/f9n70yg mtj6BN89vUzPTM/0nO45fWZ6umfp/p6Iy3Pt+fp1+3yLIvsmKvsmgsBTXBBE RCCAEBAMuwgiICQEQlKVEPZ9FxBBEZBN9k1ZZN/J3Jj38QBZAiSpqnB/5388 UKm6uXVz5f7q5i5GdkfPGjpctKOKVVkFoXOPcdbQRe/2d3eDZK89/Cb0ueu2 1g+BQCCQLZFKa13pq0BE5xZ4s19iZp4f0xuE4FXBmeASgcFuy12htQI7AjXq 3r17a447OzuD41VVVV9fMj09ff/+ffDqy5cvwa/QWsVBW1sbGkWqDD+zG2vN oZymnZdt0j8mSWtlKsggcVGwv26ZkpIS9wDDO5St1271pB657Lhfzui21u0Y CSjrrz2ud+PPGjhqWRy45vhjdnY27CSHQCCiRfqsddlX57/4KtDRyTne+Cxv dIb3eZo38iWGp3hDKwL8KjgOTgCngZPBJeBCcPn8CncVVQ6lmHfv3oEa5ejo uOY48FhwHDjt15dER0eDl54+fSr4VXhrXReR3IX0MT4+zma8SPU+NZdzfmfK OpamwXL9l/hz3wyYnpSktTLk+Uu2wuk8y/A/Sg7rhvt3LpGbjRPwYx6zIv1O xcxU7ZdQiSmrIM7ffH5G1/qu452Ojg6sSwsCgRCVjVp5KbPWZWUV+GrXKM+z gKcUyzsczNsfIGyAk5XjeD5F/MsF7iqkuEJr7e7uBjXqxo0ba46DI+B4Y2Pj muOCEQWArKys0i8IBrja2NiAnzeZxwEFdbvk5+cj/nqt8TtcRqA68mzC1aM5 6gckqawg4uW+YTMZCwsLWJcfjujs7Iyjh1m67CfHr79KKgiHINlLNnLyl70N XbkStlYQShb+VnbkiooKrIsKshmLi4uzs7OTk5PgUWh6epoo29BD9jgitNZt hfisVaCsU3M8Vh3vRChPxn/ncTyUnwhIallcd59D6Qb89RNY6MqBiDMzM4KD X++PA1Rqk+cpEom00RtBa90uXV1dbPrTNJ9TM1nb7m79nKKOkr6LU9j3weC4 JJW13+RknMIB4beo2Du8fv06JPKBFel3jxhHv1ZWYLOX7+0/a3BX516i5JUV hP4DVM7ILTouYWBgAOuigvwGePoDf4Tr6+vLysqys7NRlM1IYNKoiXEvEujx jKQkVmpqamFhIahd7e3tExMTWOcXAlkHUVnrDtjuu2zphILu0PlFfgcpsE2g nft2HSARkBRIECS7ZXcrtFbeHyZerexmKS8vB0du3br19cmtra3xq3ny5Ak4 2draGvyckZGx0bvsTWsFjc7o6OinT5/6vgB+AL8K3w8J2iMk1Ppl2M/bUlZg uTmU03Sjw7nqByXc0dpqcIym+wN4tBFrqRIR8KEXFxf7hdn84rHOzKzbfvs1 LC+oWodgoqyC0LwZaXbHD1Q5rIsKwt/QGfy5qKysZLPZkeFxXqRQO5tHlsbu xhedTbVJV3Q8zHU9zXTcTS65XtZxsbnq9cDeP+BxZDyNkZOT09TUBEeVQ3AF gVp/Yax1YZE/l6p9hHc0hPcNRTQBkmob4Se7sAitdWsE27m6u7tPTk7yvmyh 7ubmBo4kJycLThgZGXn16lV1dfW6l8PZWGuYn5/v6up6/fp1dnY2m5mERD5h BvsyKR5MykPwA/I8jMNigpdAeYLTNv+Ob2JiIi2Vi1Au1kQKu0kWUNbikJ8S rY+hijJ9JhId0QrijfYRuvVFUFskVtoEYm5uLi8vzzPo8rWH+1b2uJLpR0wd ZM8aOOk/QDG0VkOX5LNGHpExdNjdiiGLi4ttbW1ZWVlAVp3vBlzWdb2qT75l Hnr/eizJluHlkLwmPOxR55vxd60ir5lQgNDaWHj5eYcnMVjg/+DY2BjWdwOB 8CFQ67+5Ey53tE7O8R4W8H5HEWW45fGT3bK7FVor78sgAcEoVgcHh4iICPAv +NnV1XW5S1DQ9Xr16tV1L4fWuoxA77lslOnnTr9hQNX6F5rcN8Ae01Rks9QO gAA/gF/BQeqF7xJuGgKP5XLYwG8/f/68UZqfPn1KRpMQf72SkJ8mMzQ3V9aR FPVsyulE66OJ8vs6jCQ6NkAQeeoHGR53W1tbJVnsBGJ6ejonJ8cn1Nra/Rvv hF/F1T5Q9ry1uqpVMIbK+mt3641n1vf8wf93rMtpj9Lb25uZmRkaFA3k01zX 084ywv0O62tT3SScbOKumwaY6ZDcHwQlJjDBozFcgw6COQRq/be01sUlfo/o 2AzvXAzvnx7vJNSpvNRGXm0/737WquNy0fxkZ7ca3QqtVUB/f7+7u/vy8FQ3 N7fu7u7lVysrKwVjANa9VrCR1tdrZ62BQPV2BwDzf/nyJRIXnXDbhKp8GNhp 1cVv2ww39Ebw0quL36aqyFJVjiTYXkaoMUAVNhqWNjQ0lJ6eioTbJpNP18Wc m0jXWNdXqyLOslz/hW54CIgxJsr6SbDsVfSz0dFRCZc/gQAWUVhYGBBub+ny jfuLbx8jx666/E7O6BZWI1pXhoEz+5whiYWwoepImJmZGfAH5EU0/ZYV2UKf 7Hj9xbZkdU0A1715JQS4q49nGJeb0tXVhfX9QfY0BGr9t7TWhS8jWoem+ONR /6/fTgL46jKqcb8d/4bCTxYkvvkgAWitKwHq1dHRMTg4uCTkcrfbgUD1dluA smpoaOAkJSbcMqYr7C89f6jL6ITwmgdOLjl/KF5hP3BXDpPx9aINAqampkCj xk6KRUKtUa+fciinK8PPvI2Se/Ncrjzs5yy/75kPfp9gfiRO4Zt8jYP9Eh8Y IIgW/WO0i99lZmZK+CMgHAsLC+DTjIzz+8X12A3vfQa2vz9n4oW5sgpCyYJC Dnje1taGdSHtIT59+pSWlu5FCr2sTbprFbkbX10ZJFuGtZHfNTPPuBh6dXU1 XNYDghUEav2FtNaPE7z/47uTIK+eN6DPWPUqSBZaK34gUL0Vnunp6eLiYmaA F1X1WKHmwV6TbfjqyugxPgFsk6p+nBnkU1JSstFip+CBgj8CIZnDjn+CRruj kY7IM0eKq7nTmX3RP/8TSGGT3l0JBCgBhpNNfX29hD8FgtLU1MRg0cxvn5bT U1G/Foa5rwpC63a0pQOlsrIS6+LZK3R0dDASWbbWPlaGj9zttjceQJhwsI4y 0yUFUZ4XFRXBLnQIJhCo9d/SWgWDWgcmeP/r0bbjVDh/i4FlOj6vPQEkuzy0 dWc5hIgQAtVbIRkfH8/MzEy0N2cqyDSLYv+pRr1jDPl9iY7W2dnZmyxis7i4 ODQ01NnZ2dLS0traCvIQfdO0QEPSywWsCWDs8Qr7EdoLOAdEeMBjCIVCUTKy u2RPw9xXBaHnxFIxdUtPT8e6bPYEzc3NNGqilYn7bfMnIvfV5XC9nXhFx8Pb PSw3Nxc8aGN905A9B4FafyGttW+M9w8+246i9lWp6SasPQEkC60VPxCo3goD UNa0lBS69cVUFdkdd7F+HT3GJ7jK++nX9dLTUoVcfZG/9VJCPE3xQLexyLKx gyjTOky3MRBs8gsRHg6Hc9bAxcCFg7mvLsdZI4+4eAZcPUnctLW1UWMTLAzc 7EU3KmDDka52LAs9Lw/n4Ly8vLm5OaxvHbK3IFDrL4y1Tszyesd4/9N7e2G/ uicg5OU654BkQeLQWnECgertlkxPT2dmZgJlzVSVFfl+qf0mJ9NVZIG4Zmdn C7kv6qtXrxLtzfMkvjrrcgBhpivsR2KjhoaGxF340sTk5GQcjQEsEXNTXRkK V3yDnsZ+vcMIRIT09fUlJDAtjdwdrKPErayC8LBHzfU8fTzDiouLxTFzAQLZ CAK1/kJaa88o73+QtxH7/VeNDWgf4R/5+jSQ7Di0VtxAoHq7OeAPflFRUaLd lVQV0Svrsrhylfcn3rMuKSkRJksTExPJLCZN44RIBirsILLVDiQ6WMLBkNvl 06dPQeFxwBIxN9WVoWod4u73DE7IEh/gaYXL5dqYe965Gi4ZZf21x/UOy0zH PTQo+t27d1iXAWQPQaDWXxhrBWLZPcr7716rQobCuxTP/3fNcUFwGlalA85c 97RuaK14gkD1dnPq6+v5+wUoiHcN/x7jE0ny+5iB3hutKrCG9+/fM/3cEUUZ yS8gUKtzhKr1XQobhd8pb5fe3l7f4Gjlq/6Ym+rKUL8Wdt8rrLm5GevikU7A Y29hYSHJMfCaCUWSyioIl5v0K7okGpXR39+/dV4hEFFAoNZfeGv9W8/fYt9j fvcpYGSaJ/d81UsgrrBWJRJYtvaE5YDWiisIVG83YXR0lJ0YT1U50iL+Xs0m /WNUteOcJMb4+PiWGVtcXCwoKEi4aZitdkCSytphdJyuKIs8C21vb98yk5A1 dHZ2evpHqlgFYW6qK0PDJsLePbShoWHrG4Bsn9bW1vDQF1d0PDzsUclbKwg7 y4hbVuTMzEy4FhZEMhCo9RfeWv/bw9/CLfe3c4C4non87aXf+f0qtALAz+DI ymtXBrRWXEGgersJpaWldBuDIs1DknHCAo2DCbamQk5xmpiYSOGwafo/l2lJ KHs9xidYCjJJno5wC9edwbdWCu6sVfPGMzu3ULiCmTiYnp5OTk62MnW/bxOH ibIK4qo+OeBxJPyIIZKBQK2/8Nb61x6/xa2UVafV9PL+0ffXl/xLV72kSV11 4ZqA1oorCFRvN2JoaAiJiUyQF+/YgJXxZTkpGSQuZmRkZOv88XgDAwOcRDrt 4neVFw5LIG8cpf0Mx18KCwthp83O6OnpeRQUhbsRAtefOnqGNTU1bfd2QDUA NfD9+/fgKSY/Pz8jIyM1NZXD4aSkpICf8/LyKisrGxoa+vv75+fnxVGe+Ke2 ttbHMwyTsQFrxgmY65PYKEfI+Z4QyG4gUOsvpLX2jPL+q/uqyPuw6szqXv5B jbhVBykla69aE3A2Fq4gUL3diIqKCrqNfpmW2IVwZZSeP5Rw20T4zsyuri6U 9oJ28V/BheLLVZfRCVRRJtHham5uLly6fMcAxwsIi1U098PcVFeGqnUIyTfi w4cPW9/AF4CCdnZ2lpaWJqMIM8QPPMjQrS7QdH6IUzsWpyAbd/abOHnZONWj NO3v6ZbnE+9ZMYN8OKykoqKitra2PbUKE1BENpsDdNH1diK21goCmLMfObyu rg7rUoFIPwRq/YW31r9yWxX/24dvqiuJqlp1pG2Yf86aq9YEtFZcQaB6uy7A zZJZSVTFgz2SXRa12/gEVfkQl40K3z0FxJXDoNMMzmSrHRBHtzB/NwQFGQbp Tn5+Puyr2Q3j4+MxcQlyxp6Ym+rKUDJ/7P/khTCzdaanp9+9ewcqJ9PPnW6u QVWQ5SrzNzWu1TnSanAM/E8RzA0cMD0Jfv5gcBwcBw99qSqyNHmZ+MsqST4u yQirpqZmcnJSAqWNOY2NjY99In4xfoy5svK7W28lWBi6cZO58IsSiLghUOsv 5C4DQC//M2lt/IM3f1DrRqjFrnPJmgDJwl0G8AOB6u26tLW1JXk7Z6rKSlJZ BZGmIgusoLOzU/jcDgwMpHKTE2xNWQoyQDJFlROgH8BJqGrHmSF+ZWVle/Z7 XlGxtLSEstln9V0MXbmYy+pyyBk/jKEmbr7JBVCduro68BzHcLlFVTsGRPSN 9hHh168AFQkYbIaqLFX520RHazYj4c2bN1Lf75qTk2Nj7ul0g4q5sgriqoH3 09CY7u5urAsGIuUQqPUXfm+s/+S6Tpx6ur64+hWvf/6agHtj4QoC1dt1qays pFtfrLn0reStterit3QbvdevX28rw5OTk4WFhcwAMlXz/2WrHeg02m0XMdAM poIMKAQ2nSrkelyQLcnLy7tkTdZ2oGMuq4LQf4AqGJO43JRNFqIHz0SZmZlJ ZCeq6lFQtdoMj++4UnUYHc/XOEhTPsxwu5OeltrT0yPJwpckw8PDcTF0Mx13 zGV1OeytIh1tKeXl5ViXDUTKIVDrv6W1LizypuZ4/eO8/+i6fhgkrr3qwzDv 78gbnr8yQLIg8QVorfiAQPV2XdLT0+PUju/e/XYQwAqo53+flZW13TwD8Whu bk5howzHX4AY5Kof3MGCXf0mJ99oH0EVZWj6Z5ghfgUFBUJODYMIQ21trS0p RMMmHHNfFcSFO7Fmd/w2WrYC1Kj6+nqU+oJmdC5Zaf8Hg5376spoNzyepiJL 0/0BiY6oqalZXFyU8KcgAcCDno9n2E2zYMxldTnc7ViXdV2Tk7lwqyyIWCFQ 6y+ktQ5M8P6LG+8vXNaPXzirrlKK2fDMlfHXHvxkobXiBwLV26+ZnZ1F6bSE c/skr6yCiJf7hp3E2Nk38lNTU8AEOEwGw/kGVes74J9lWoca9Y5tvrFXl9EJ IKs56gfiFWTo5mrMYN/s7Gy4KKvI6evrCwyLVTB7hLmvCkLFMpDkG9HS0vJ1 VhcWFsrKypgBXjSVIxViWKSi+tK3NMWDST4uRUVF0jfFr6Sk5M51H8frLzCX 1ZVhrucZFUmDGzFDxAqBWn9hrHVmnjc0xTscyPv3zhvG/Uze8BQ/rDmbnbYy QIIgWZA4tFacQKB6+zXgrzorLICrvB8ra2Ur7Ueehe6mkxO4a11dXWZmJutp YKKDJc3gLPWcDKIok6kqm69xsEjzUMn5Q4WaB3PVD6Yo70+U3xencpRuqcV4 6MBOiAcNbldXF+yQEQdABZO5XCVTN737TMyV1cCFc9aARE9kfj09CmhkYWEh w8OBoSAjvi022gyPsxRkGE7XcnNzp6c3nthAQLhcrqm2C1Y7C2wUN8yCfb3C 131IgUBEBYFa/y2tdXGJN7vA+zzNs+Hy/uyBKOOXZH6yIHHwFtBa8QCB6u3X 9PX1MR97ZEl226mVkaEqywz0HhgY2P29fPz4EehrQUEBB0WQqHAmxTPJ05FB smU432C42yd5P2CFUtD4uLS0tIqKig8fPsB9WsVNdXX1bddg9WthmFur1u2Y y7Z+xcXFa3II1LqoqIjhbAMec8Q9SKbH+AR4Rku4YyZNi6qB/0TxNAauBrUK 4q5VpItDQE1NDdYlBJFmCNT6b+mEwCfnFngTs7w3ffy1qv7USTQBkgIJgmRB 4pv3D0FrlRgEqrdf09XVlUR2ylU/iJW1ZqsdYPqRent7t86r0CwuLo6NjQEh 7+joaG1tbWlpaWtrA3c6ODgoZd1cOGd4eDiWxjhr6GbgzMHWWs+ZeAWHx4E6 sCaHL1++TPK8x1KQkcyyb30mJ4G4MpyuA1WWjjGu4FExPCzWyvAR5pq6Jpxu UG9Ze3/9nAKBiBACtf7CWOvCIm/6yyCBkJe8P33A+xOn3QZIBCQFEpzeaniA MDmEiAoC1duvwYW1+pKkeIb1Hqe0tNT6nj+2c7Iu2L7Qu+adnZ29ZijI+/fv mUGPEuVlOoxEM/dKmOj+slkw8xHp7du3WH0oIgT8AQmiPL9uGoC5pq4J0m2G talHbm7u1vcAgewUArX+wjjh4h+6W/vG+Ntd/aUr79/d33mAy/1L+UkJOloX txqIB61VYhCo3n5Nb28v0889G9sRAgFkkYwQgOCQwcHBWBrjnJGbnhMLE2Xl j2g18gh9Rl2zLDDIGDs+jqp6TISr/goZHwyOxysfQmIiRfsVAya0tbVRfCJu 4GkBAUG432GZG5AyMzOxLiGINEOg1l8YJxR0t84u8MZm+LZZ1skzTeL94yPe nznx/thR2PgPzrx9frwrLF55Fz+R8Vl+glt2tAqZQ4hIsFgB1nnZNqDtZoVS UrCbjcVR2s8KD4ZLTkkxVVVV973ClMwfY2Ktar+EWjsGFBUVrczS4uJibm5u vJmKhHcxXo7Xl76l6f+cnpZG9P0sWlpaHnk+vXUlFHNNXRMe9uhlHZe0tDSs SwgibVisBuvsCIuQTrgsrhOzvMFJXvcor2mQV9vPq+nlvermVXT9GuUrYvlg VQ//NHAyuARcCC6fEFpZhc8hZPcQqN5+zczMDBoflyiP5cpXKCNB6jcP2suA OsblpuhcI2vejJSwsl60o6pd8WAwkc+fP6/MUlNTE/OxB6oo83HTRdLEGuBR keHhUFtbi9XnIhLa2toe47Ov1Y7f15qRkYF1CUGkGQK1/sI7oUBc5xb4g1HH Z/mjUj9O8LcJ6B3jb8zavUGAl8AJ4DRw8vAU/0Jw+ZzQyrqtHEJ2CYHq7bqk paXFqRzpwmKXgQ6j41SNk7BlkXr6+vpiaQxFEzftu5LbKkv3PlPO0D0skrZm +aP5+fmU5GSq5j83iW2dK2GCv8WGyhEOM4nQa1l0dXUFUiLxOK7VlmFl6p6T k4N1CUGkGQK1/tt1QmCbAnedmecHUNDJOX5MzK4TgpdATM//er7AVxe2M+UU WqvEIFC9XZfy8nK6pdZb7SOSb7irL31Lv6b96tUrrMsAInbq6uqCw+PkjNx0 HRkSUFb9B6ic8UNP/8iKioo1OWlsbEzyup+uIouhsgoiR/0Aw9mG0N2tAwMD 4aEvrIx8MdfUNfHgBu2WJXnNyBAIRLQQqPXfmRMuLv0qn9uNLedeiSqHkB1A oHq7Lh8+fEjydMRkQlamqmySjwvcl2qPAB5PfIOjzxq569xLFKuy6jmxzpl4 PiA/BdKysLCwMg9LS0sZGRnUC99h29EqCH53q+oxLoe9JpMEYnJykkbF5Xqt 1s8f3PWvrq7GuoQg0gyBWn/8OyH+cyg1EKjersv09DSbkUBTkO0zkegYvx7j E1TFg8kIU2pWXIdsDjDG8vJySmjMOSO3S/Y0MSmrzj2GnJEHyTeioKDg6/HS AwMDrLAAVFEGc2UVRKqKLJPisWZ9A2KRzEk20XZ5iLO9sW5eCfHxDGtubsa6 eCDSDIFaf/w7If5zKDUQqN5uRFlZGd36kjh2YN8kXmodptvof/0FLkSKAeL6 +vXrsEia6mV3ceyZdf5WlIKxu19wdGlp6brT86uqqhJuGkq4qm8SNZe+pVto gv+Akv8sREVxcbHtLz73r8dibqorw0Kf/DyC+unTJ6yLByLNEKj1x78T4j+H UgOB6u1GfPz4EXkexpDfNyCpKdX9JicT5PchMZFDQ0NY3z1E0jQ3NycwWKa2 fvKmZB2HBJH4qu59puIVP+1fyDHUxLdv32608xR/eID6CUluK7B59JmcjFM8 kMxmE3errIaGBrJ7GK4Wv/KwQy5ru3A4ycQtVQghIFDrj38nxH8OpQYC1dtN KCoqoltfLNM6JJnGuljzEP26XklJCdb3DcEG8LSSnZ3tExSlctld+WrAbqZo 6TmxVK1DFIzdXB+Fp6ambbJ0/9jYGBLzjKmAl+EBguAvWRzmT9xewcHBwZio +Cs6HpjL6nLctX7ucMuP0D3YEEJAoNYf/06I/xxKDQSqt5swPDyMxsfFKx9q MxR7N1SrwTGayrfshPjR0VGs7xuCGYuLi+/fv2chbGfvcOCuiuZ+F2xfGLok Cymrhq7ci3ZU5av+wFft3EMTGKw3b95svvBvR0dHEtkpRx2zneA2eoJjON8g 9AjMrKysa2YPnW/GY+6rgrA09AkNiib0aGEIISBQ649/J8R/DqUGAtXbzXn7 9m2S9wNUUaZfnNOy+kxO8vdh9yO9e/cO6zuGYM/09DSoCSiH4xMUZWrrd9aA pHjFT8MmHBip7n3mSokFmqrnxLpkT9O88UzJgnLGgKRv4+PxOJLBRF6/fj0+ Pr7le9XV1SXam5fjZlCrIPhDW6/rEXq2e0NDwyOvp9dN/DH3VRCutxPN9Ukc TjJxV2aAEAUCtf74d0L851BqIFC93RzwRz4vL492TSdTVVxLWX40PZmuIptw 26SgoAAOOYMsMzc3197eXlxcnMRC/J+8uEMKAQarYf5QzsDlZ30XIKj8f/Vd 1MzcjW49uuUS5BscTU9k5ufnt7S0AO8V8l0qKiroFhrvdI5ibqoro0n/GM3g LKFXFp2amkIQtpmuK8mWgbm1XjcN8PEII/QquBCiQKDWH/9OiP8cSg0Eqrdb Av7Uuzxw9lX8fa76QXEoa7baAbq5Rnpa6uTkJNb3CsEjQF97e3vfvXv38uXL 7OzslJQUBEUZTBaCoFwuNysrq7S09O3bt11dXcLL6jLAioEfNuNgpdaVwd8h TutfiL6LU01NjRcpFPNNslxvJ17RIyEslNA7jkGIAoFa/z8iCFiX056AQPV2 E+bn58vLy8MiaYqG9/9V0dxL8VSmqqwIhwqApNJVZOnm6qnJ7DWbwkMgm7C0 tAQq55KQW1lvSn5+Pk37ewmM3N5W9BifiFM7RvR9jcFzKIpyrhq5P7hBw9Ba LQ19HnuHg+carMsDsicgUOuPtY0KC9bltCcgUL3diJmZGdCgkx5FyBm6X7Sj 6jgkyBm4PlCRRxVlRNLEfzA4jijK0G8apaelQmWFYEVubi5V67t2nFkrf/Er pUNpaWlYF89uaWxsDA2KNtf1fHiXjYmy3rV+bmPumZaWvvmkPAhEVEhB6w/Z gxC93gJlzc7OtnMLPWfipefE+nX1S8ck8KuFpkHMOdkyrcM7Xse13+Rk6flD z8/uv6t3MSQkRJgpMxCImCgoKKDp/ACeoTA31ZXRbXyCqn48MzMT6+LZLYuL i3l5eU52FJvLgZiMDTDTJcXF0Lu7u7EuCchegeitP2RvQuh6Oz8/n5+ff4cU In/Zx8CZvXJlIQMXjqpVsLK2nZvyGYb8vsoLh7c1YKDP5GTFhcMJ8vtcVc7K a938TvW6d0Dkq1evsL5jyN6lpKSEZnSuCWfjWtsNj9Mufpebm4t18YiAsbEx FOVYX/a4axUpSWX1sEPMdT0DHkcSeikGCOEgdOsP2bMQut6Wl5e7+oSfM/Fa o6zLoe1Al7/srXXxOkn5TKycTLbagVqdIz3GJzbpOHqrfQScBk4Gvnr+og3w YR2HBF1HhpyRe3B43Pv377G+acgeBTw00a0ugPqJuamujPd6R+NNFEpLS7Eu HtHQ1dVFi0s0NyA5XnshGWV9aI9eNfB+6BICHsDhalcQSULo1h+yZyFuvW1p aXkSSZUz8tB3QjZf0f2iHVXhiq+CjoOVhq6H0o+RcgcY8vtSVWSBneZrHAQB fgC/goORcgfdlX6y1NCT13VQvOJ3yZ72mwDfjVc2dY9PYBJ3GyAIoQFPTImO 1mVa+Fqvteritwm3jN68eYN18YiMpqYm/m5ZeqR712LE3stqj1oa+DjfDcjO zp6ZmcH61iF7C+K2/pC9DEHr7cTEBBNBVc08Vorllltnat54pmjud0bfVUXb Vl/Lwuy8ERBUEOAHPS0LZe07ZwxISuaPwWnrmrCGTbjRrUegfYFdIhDJ093d zfQlZanha2+sAo2DDDe71tZWrItHlNTX17+IoVsYutlZRohPWd1sk8z1PN2c gjIzM8EfNKxvGrLnIGjrD9njELTelpWV3XIJUrUK3vHm70B3L9i+OH8rCgT4 Afy6PJlrk5C/7E0OiGpoaMC6ACB7jqmpKZQWl3BuH+amujIQRRkkMmxkZATr 4hExLS0tNBrDxtzzmgnFwx4VubI6Xn9xWYfkRw7Py8vbweK9EMjuIWjrD9nj ELHefvr0KSo24ayh20bDWcUXOg4JKpfdUTZndnYW62KA7Dmys7NpF/+11QAv E7K6jE7EqRxJTU3FumDEQm9vL5fLdXUMNNNxF+EwV3c71nXTAEsj96hIWkVF BVznCoIVRGz9IRAi1tvS0lLre/4aNhESVlZBKFn4kx5F1NfXY10MkD1HbW1t osPVkvOHMPdVQVRcOEy3MZDitTUmJyeLiooiw+OumT20MnzkfDN+l6NYba8+ vaxN8nAORlGOlA2rgBAOIrb+EAjh6u34+DiVzjhrSDJw5mBirTr3EtXM3FNS UxcXF7EuDMjeYmRkBImOYMjjZZAAqijDCqX09/djXTDipb29PSUl1d8v0srE 3dLAx8E66uE2xwy43Eq4aRZsqk1ysvOnxiaUl5fDXaEhmEO41h8C4RGw3tbX 1zuRn6pah2CirIKQv+wdFB7X29uLdWFA9hy5ubk0Q7laHezXv2rUO0a7+K/p 6eki2a8W58zNzTU2NqampoUGRd+96Weq7Wpt5GdnGeF8M36jUa8kW8a9azE3 zIKv6D60NHb3IoXG0xhlZWWDg4NY3w0EwodwrT8EwiNgvc3Ozr5g6antQMfQ WjVvRl5zDJDiL0YhuKWjo4MZ6I0qymBurWkqsklkp+bmZqyLRHIsLCx0dnaW lJQkMVhAX10dA20svC5ru5hqk8x1Pa/qky0NfCz0vK7oeBhfdAaman/D95HX 05ioeOD27969g/tBQ3AF4Vp/CIRHtHo7NTVFoyedMXTDUFlB6N1nqpq5Z2Rk YF0ekD3H0tJSVlYWTf/nN5huN9Cge5Sq9S+pXO78/DzWRYIBMzMz3d3dNTU1 BQUFqampiXRm3At6VCQtMoIaEx1PoyaiCAqer1++fNnU1DQ8PLwXuqMhhINY rT8EIoBY9barq8snMErJwh9bawVx1sgjJi5xfHwc6yLBnsnJyYGBAfDRtLW1 NTc3t7S0tLe3gzZ9cHAQLpwuDkBRs8KDE+Vl+razSbEIY8D0JEtBhhnoDecT CQD1HPwpGBkZGRoaGh0dBf8j4KB3CP4hVusPgQggVr2tr6+3cwvFavWAlQHM 2Tc4em8ObV1aWvr06VNDQ0NRURE3ORmJi2IG+SSRnRhudowHNgyXmwyPu0k+ LqwnFJROTUtLe/nyJVBZ+PWoCCkpKUm4ZZyjjs2OA8Wah+iWWvn5+bALEQIh LgRq/f+IIGBdTnsCAtVbQEVFhZmd38U7sZhbq/q1sPteYU1NTVgXiUQB5llb WwtElBUWwHD8hWYkH6dwIEl+X5qKbK76wULNg6XnD5WcP1SgcRAIFVd5f8K5 fXEqR+jmGgy3O0jMs9zcXFBicE313TMxMZHCRmna31df+lbCylqne5Sq+c+c pETp21kAAtlTEKj1x9pGhQXrctoTWKwA67xsTWFhofYvZJ17iZhb6/lbUTce BL19+xbrIpEQg4ODpaWlSGxUooMlkBZUUQbYaYPu0f6tvqTuNj5Rq3MkX+Mg Q34fTf9nhrsdh8moqamBW1juku7ubiT6Wbzy4UY9yW060GpwLF7hACs8CI4N gECIiMVqsM6OsODfCfGfQ6mBQPWW92XZH00LT937TMyt9YJtjPU9/9evX2Nd JGIH6GVZWRkSHUG/pk2X31+seajN8PjOnAdYbrbaAZry4cR71uzE+Nra2r05 l0dU1NXVsUIpQCMls1tWu+HxRHkZJsVzL1R7CETqIVDrj38nxH8OpQYC1VtA VlaWmpm7nhMLe2u9E2tuT5Huxa+Wlpbev3/PYTISbE0T5GXKLxwWyfSfDqPj +RoHgbsyPO6mp6XtzbHBogIIJDOADMT1vd5RcfeyJirsT/J2fvnyJRzOCoFI AQRq/fHvhPjPodRAoHoLyMvL07rqqeuYhLm1at3m97VWV1djXSTiYnp6uri4 GBgRVY0vmb0mJ0RrQW2Gx1NVZGl6PyExkW/fvoVzrncGEEggrqwnFPAU8Fps Y1xrdY7EKx5gBniVl5cvLCxgfdMQCEQEEKj1x78T4j+HUgOB6i2gqKhI5xpZ xyEBc2s9f/P5Deeg2tparItELAwPD6elpCTamyfJ72vSF+O3z0C04pUPMR+5 FhYWzs7OYn3fRKWurg7IP03nh2y1A6J9vug3OVmgcZCq9R0SGQqe0WAvKwQi NRCo9ce/E+I/h1IDgeotoLKy0tyecgEHawioXXviRH4qlRsDDQwMpLCR+MvK GaqyIu9i/To+GBxnKcgk3rPKycmBm7PvmJ6enhQOO8H2cqK8TI2IOl1rdY6A xxa6jV4yi9ne3o71LUIgEFFCoNYf/06I/xxKDQSqt7wv67XedQ/VsAnH3FqV LCiPQ2Okb0wmUFYOg07T+ylf46C4fXU5eoxPJCvtp98wyEhPn5qawroMiApw fv68uchQmtE5RFHmjfaRj6Y7HIcMfJWttJ+m+yMrLKCoqGhsbAzrm4NAICKG QK0//p0Q/zmUGghUb3lfVvvxDY5WMn+MubWeNfKIozGkbPmm4eFhLsIEylpy /pDElFUQ/SYnU1VkE24Z5ebmwqECu6GnpycnJ4cZ4hdvqpQov69Q82CT/jEh 9bVF/xj46PlrlBnKMQPImZmZHR0dWN8QBAIRCwRq/fHvhPjPodRAoHrL+zJF iM5gnjEgYausuo5J6uYeoE3HujxEydTUVFpKClCdAgn2sq4RV47Sfsb9a8XF xXD85G4ApdfV1VVQUIDERTGcroHHkPhz/J0gijUPvb70bb3uUeCxrQbHwL/g 55pL3wJTzVCVpZ/bR9M+nehgiUTz94Nob2+HU+QgECmGQK0//p0Q/zmUGghU bwWA9lT7F7L23XgMrVXzxrMbD4KkaQEB4DlFRUUJd8wyVWUxUVZB9BifYCrI MP296urqsC4SaWB0dLS+vj4/Px9l0JkBZIbLLbqNQfwVNZqRPFBZmtG5eDNV +nU9hvMNJsUTpdPAf67a2lq46RUEshcgUOuPfyfEfw6lBgLVWwGNjY2uPuEq loEYWus5E68nkdSBgQGsC0NkALcB3gKMUQLTr7b8kpqmcgSlvvj48SPWpSI9 zM7O9vf3t7S01NTUlJeXl5SUFBYWgn/Bz+Dhq7m5ube3F+60C4HsKQjU+uPf CfGfQ6mBQPVWwOTkJD2RKWfkpv8AxURZte/SNS08MzIypOZb7LGxMU5SIlX1 aIs4F7kSPiouHI43VcrJyYHfUEMgEIiYIFDrvzMntLS0/Nu//dvTp0+LI0tr gNYqMQhUb5cpLy+3eRCkfv0pJtaqaO7nSYlsbGzEuhhERklJScJNw0JNbIaz rhtspf1MP5I0FTIEAoHgCgK1/jtwwqSkJMFV+/fvF1OuVgKtVWIQqN4uMzIy EktjYNLdqn03Xt3cIzmZOzc3h3UxiIaBgQEk8kmivIxIdmsVVTTrH6NpnEjh sOF6AhAIBCIOCNT6b9cJe3p6/uZv/gZaq1RCoHq7ksrKSgePUOWrAZJUVkNX 7jkTL0pojDRtLlBUVES31Hp1UVybge44MlVlGR53GxoasC4hCAQCkUII1Ppv ywmXlpbOnTv3R38AWquUQaB6u5Lp6Wk2J1nTwvOC7QuJWavaL0/M7R7n5eVJ zYjWoaEhJDoiUV6mH08drYJo0T9G1fznVC4XbnwPgUAgIodArf+2nNDf3x+c /Md//MfQWqUSAtXbNXR0dETG0M8Zuek6JklAWS/eiVW74p7ERKVpXaDq6uoE 28tlWocxd9R1I0V5P5Pi2dXVhXU5QSAQiLRBoNZfeCesra39i7/4C3Dy7du3 f/zxR2it0geB6u3XVFVVkQOi5IwfinuAq7YDXd7YLTwqvrW1FeubFhkLCwsp yclxasc6jI5jLqjrRvWlb+mWWmVlZVgXFQQCgUgbBGr9hXTCmZmZb7/9Fpx5 8OBB8DO0VqmEQPX2axYXF4uLi529w8+ZeOk7IeJTVjkj98CnsW/evMH6jkVJ X18fM8iHq7wfczvdKPpMTtIUZNlJDKmZ+waBQCA4gUCtv5BOaGtrC0778z// c8EeQNBapRIC1dt1AT6Tn5/v4hN+1shD15Eh+oEBdnHyxu6BYbGvXr3C+l5F TG1tbaLdlZd4HR4giFQVWWYAGQg21qUFgUAgUgWBWn9hnDAnJ0cwltXLy0tw BFqrVEKgersR8/PzJSUlPkFRQC+1bkeLylcNXblq156oXfEIj6JJWS+rgLy8 PJruD8342FlgowBSDdQaCDbWpQWBQCBSBYFa/y2dcHh4+O///u/BOadOnVre ngZaq1RCoHq7CaCW1tTURMUmXLTyUjT307vP3O2ogLv0c6Zkszt+jCSkpaUF 6/sTPQsLC2xmEu3cvo+muFs9YGU06R+jGZwtKirCusAgEAhEqiBQ67+lE2pr a4MT/vIv//LDhw/LB6G1SiUEqrdb0t3dnZKa6uwdLm/spmodoufE2oGv6jgk KFlQVM3c/YKjc3JywBMc1rclFkZHR5HIJ6iiDOZeunn0GJ+IU/k2LS0N6wKD QCAQqYJArf/mTvjixQvBCc+ePVt5HFqrVEKgervM3NzcRmt4zs7O1tTUJDBY d91DFY1JiuZ+F2xjDJzZW8oqUNzzN5/LX/ZWu+Lu7veMnZzc2Ni4/EWD9NHT 08P0I2WrHcDcS7eMhHP7UDoNbpIFgUAgIoRArf/mTnjkyBHBCd+s5s///M/B wT/5kz8R/JqSkoJVDiEihCj1Fmjqhw8fSkpKQMVjsxLYSFJaWtqrV6/Wnacz MTFRXV2NoGyfoCizO37yRiR5U7KKVZDmjWcXbF9ctKNesqddtIvTuh2jfj1c 2TJQzthT2dTN2jEgKDwuJTW1oaFB6h2ptbWVQbIt1jyEuZRuGWyl/Ujkk9HR UazLDAKBQKQHorT+vK2c8PDhw38kBFQqFascQkQIIeptf39/RkYG+oKMBBgg nqdTvP8t2evfEPIZJNicTQ8rKioCmvr1VXNzc+3t7WVlZZzk5KfPaQ8pkbak EEsHymVbP6Nbj8zs/Kzv+d91DyUHREXF0tPT0ysrK3t7e6W4f3UljY2NjPvX cLu/wMpIUd7PCvMfGhrCuswgEAhEeiBE6y9gcyf09/e/sx5/93d/B676q7/6 K8GvYp1VDa1VYuC/3ra2tnKYVOSxVl7AD50MpZms8/O5WiDG0zWaaQrpj04h oVapKcmbWA0QUfAqMNi6urqqqqry8nKgshUVFa9fv25oaOjq6vr8+fPO8rac 8rt370CCpaWlhYWF+fn5xcXFL1++rK6ubmpqAiY8PT2907sXF/X19Yl2Vyou EMBaM1RlmYHeAwMDWJcZBAKBSA/4b/2X2ZkTwnGtUgnO621fXx+HGYd6n2uM kxfI6poAEvsy7GfEXzc9LXVqakoyuZqZmQEuDRyVm8xhxz9Bo0hImA0SYIRQ tBE/DcRXDXl8AfHXQ0Is0Gf30FhfNjM+Nzf37du3+Okw5FurvTkhrDVdRZYZ 5PPx40esywwCgUCkB5y3/iuB1gpZxmIFWOdlLQsLC+npaYjf+SaqwrrKuhyl oT8hYTfLy8vFnaXBwUHwLhw0CY12RwIMUK8fciinqyLOvo+V70pS7kdUBjlq w1y1j2zVXpbKB7ri2yi5kpCfuOR/46ts2E12wrPs7Ozm5ub5+XlxZ3Vzmpqa GE7XyrQIMK6Vyx8hECCtizlAIBCIxLBYDdbZERZorZBl8Fxvgd2h0R4FgT9u rqwgJjM0ud6n2YyYHX/XvyXAV4uKitiJz5EQC7bX6bInP3cylKYyNbfMmyA+ cVRro+UyfL9H/DTQGM/UFG5jY+NGKyFIgA8fPjBId4qIMBsLVZRBnoeNjY1h VVYQCAQifeC59V/DzpzwzJkz4KqDBw+KI0trgNYqMfBcbwsLCxHKpR6msjBa +Oa5HBphX19fL/JszMzMVFVVsRkvkCDTVO9TDbHywsvq19GHqBQG/Yj4KAJ3 zc7Oxmqv0t7eXibFI1NVFnMp3TLo5/ahDPrc3BwmBQWBQCBSCZ5b/zXg3wnx n0OpAbf1dnFxkY2y2J6nZrPPC2mDCEW7pKREtNno7+9PS01BIxySvX8Avro8 F2yX8ZGtmuv/A8gwOzGqurpa8p2uY2NjSFQ4gvtdBrqNT8SpHs3IyJBw+UAg EIh0g9vW/2vw74T4z6HUgNt6OzU1xWa8yPD9XkgPHE1VR3wUc3JyRJiH+vp6 dlIs8lirJOSnsTQNkfjqymimKQAZRqPd8/Ly1l28S3yAhwIOilDPyQzge0fX 93pHaUbyxcXFkiwcCAQCkXpw2/p/Df6dEP85lBpwW2+np6fZSXHpj04JaYCf U4C1Kufm5ork3ZeWll69eoXSAtnknzdavkAkMZKink05jYRYpqeljoyMiCTz QlJQUEAzONuodwxzNd0kyrQOJTpY1tXVSbJkIBAIROrBbev/Nfh3QvznUGrA bb0F3shho2zP74X8Ur6HqYz465WWlu7+rRcXF8vKytAX3lzv0wOoqviUVRDg BvlrIAQYpCSzBwcHd59/IQEqCIQQ58sIcJX3M4N94WKtEAgEIlpw2/p/Df6d EP85lBrwXG9LSkqAy3UkKgnjflURZ9FIp6ampt2/L7+XNYac5vP9MFdN3Moq iLmc85XhZxCKdmpKssS2LgUqyHpCYSvtx1xNN4oe4xNUpYPJKILhYgsQCAQi lYik9efsiO2+C/6dEP85lBrwbK3t7e1onF825fSW1jeWpsEh/8hh0Xc/OvTd u3coNSDF+7TElHU5ysN+RoJMMjLSZ2ZmRFKAm7O0tJSWlkbV/Oc2w+OYC+q6 8erit/RruhUVFRIoDQgEAtlTiMpa487+blsBrRWyG/BsrUCrcnJykACDN8/l NpG92ezzeQE/oJFO1dXVu3zH3t5eNiOGQ/7pI1vsAwPW7XHlL4oVbivylRA2 ora2NtHBshivq7aylfYzQ/zAhyKZ0oBAIJC9gwitVfi/6tBaIbsEz9YKGB4e TkaTEF/118/OrrsE1ni6BlBWJMQS+O0ul/ScmppKTUlG/DSbaVtsxSW+mMzQ TPM5hVL9GxsbRVWGm/D582eEGhOvINNrcgJzR10T/NUDLp5KT09fXFyUQFFA IBDIngJaqwjBfw6lBpxbK+9L/yeXw0KCzNIf8Vf4H0pWm8rUnEjX6EdUaiLl OOQf0GeO2dnZux8bUFFRgTy9XfbkZ6yUVRADqCrqLZfMThofHxdJAW7Oy5cv 6Tb6ZVqHMdfUNZGqIpvk49LS0iKBQoBAIJC9BrRWEYL/HEoN+LdW3pcuwcLC QjY9DHlyDfFVQ7x+QshyyGMtNMKew6JVVVXNzs7u8i0GBgbYjCiu92ngw9ha K4jXz86COxXJeghbMjQ0hLx4TlfY322Mo+7Wet2jtIvfpaWmwHlYEAgEIg6g tYoQ/OdQaiCEtQoAYllTU5OXl5eenp6ZmQk8tr6+XlQz7vPz85EA/SYqZmMD VsZUpmaq9/fsxMiPHz+K5O42p6KiItHBMkf9AOayKogB05MsBRlmsO+HDx8k cPsQCASyB4HWKkLwn0OpgUDWKj76+vrY9LAM3+/nckSzYevu432sPBJkJplp WVNTUylslKr5/+p1j2KurCBKzh+iW10oKCiQwL1DIBDI3gRaqwjBfw6lBmit gOLiYiTQCMNJWF/HTNb5FO/v2YwYyWyY1draygoLSFTY32WE8TgB/tgAjZMc Bl3CO4VBIBDIngJaqwjBfw6lBmitExMTbCaNS/5+3TUKMIy3UXLI09tv376V TDmUl5cznG9wlfcPmJ7ESlk7jI4nKOwH/gwnYUEgEIhYgdYqQvCfQ6kBWuv7 9+/RSKdX4Wcw19Q1McxVQ7zl09LSlpaWJFAOc3NzWVlZ9F+0M1VlMVHWbuMT LAWZJE9HuK0ABAKBiBtorSIE/zmUGqC18udhPdbqR1Qw19SvI5tymh0fOjg4 KJmiGB8fT0tJiTdTyVE/8FGyPa49xidQRRmGk01RURFcNwACgUDEjdRb69LS zkMyOYTsgD1urbOzsxyUwfE8hZ95WCvjbZQcGnH3/fv3EiuQkZGRFDYaf0Ut Q1W230RC4tphdJylAJT1Wl5e3i63ioBAIBCIMEixtS7L5+IfYmFx61g+eQfu Cq11mbq6OiqVGhoaiiCIMPby8eNHUCWePXv29OlTFEU7Ozs3P3+PW2tvby8a 51cU/CPmgrpu9DCVEYpOcXGxJMsEiGt6air9uh5HaT/wSXEra4Pu0UR5mSTP e0VFRbtfdxcCgUAgwiCV1rrSV4GIzi3wZr/EzDw/pjcIwauCM8ElAoPdlrtC axXA5XItVpOSkrLJ+QUFBVZWVivPv3r16uaX7HFrbWxsRCPsa6PlMBfUdWMy QxPx+iktLU3CxTIxMZGTk8Nwt6crytbqHBGTr340PVl6/hBN4wQrlFJeXg4H BkAgEIjEkD5rXfbV+S++CnR0co43PssbneF9nuaNfInhKd7QigC/Co6DE8Bp 4GRwCbgQXD6/wl1FlUPppru7Gygo0M6MjIzOzs7k5GSBiNbW1q57fk9Pj0BZ /fz8gAO8fv06ODhYcMkmm9rvcWutqqpCgq+0JShiLqgbRYr3v7GZ8TMzMxIu mfn5+VevXiHPQmnap9JVZEXe6fpe7yiiKEO30GQnxDc3N0v47iAQCGSPI2XW uqysAl/tGuV5FvCUYnmHg3n7A4QNcLJyHM+niH+5wF2FFFdorYBHjx6BShUf H798JCEhARwJDAxc93xQE8Crt2/fXu6zWlxcdHR0BAfpdPpG77LHrbWoqAh5 rPWJo4q5nW4UeQE/sONDh4eHMSmfjo6OtJQUhustmtKhAo2DnaJYzbVZ/xjQ YOr53zMDyHl5eVjdGgQCgexlRGit2wrxWatAWafmeKw63olQnoz/zuN4KD8R kNSyuO4+h9LN7Ozs1atXQaVqb29fPtjZ2Sn40n9qaurrS4DT2tvbg39XHmQw GOCS4ODgjd5oj1trbm4u4qP8OUUdczvdKEpCfkLjKAMDA1gVEaiKNTU17IT4 RAdLmvLhbLUD9bpHd7DCQJ/JyepL33KV91O1fp/k6ZiSzGlpaZHMol4QCAQC WYOorHUHbPddtnRCQXfo/CK/gxTYJtDOfbsOkAhICiQIkt2yuxVaa1tbm0BQ 1zTrgjEAwu/PTiaTwfksFmujE/a4tWZmZiJkuYl0DcztdKMoD/sZjSH39PRg W1ATExPV1dUcJiPJ8x7NUC5Rfh/QV2ChbYbHNzHYfpOTLfrHKi4cTleRpSnI 0i21mBTPtNSUxsZGuFYABAKBYAiBWn9hrHVhkT+Xqn2EdzSE9w1FNAGSahvh J7uwCK11C+rq6kCNsrW1XXMcHNlkaOsa8vPzBeq7ieUSqN6Kg/T0dMTr56lM TcztdKOoDD+Dxjzs6urCuqj4TE9Pt7S05OXlIdSYJLIT/Zo2Ves7qtw+RFEm VUU2U1U2R/0AsNkMVdkU5f1J8vviFA7QdH9IsDVlUh6yGYllZWXgRuCsKwgE AsEcArX+mzvhckfr5BzvYQHvdxRRhlseP9ktu1uhtb558wbUqHv37q057uzs DI5XVVVtmQI4RzDGYM2YgTUQqN6Kg+zsbMRbfiwNv32tZU9+RmN9+vr6sC6q VUxMTLS3t7969SonJ4eDIkhUODPEj0nxTPJxYT4iMQPIrFAKEhfN5XLBoxOo zD09PXBVKwgEAsEPBGr9t7TWxSV+j+jYDO9cDO+fHu8k1Km81EZebT/vftaq 43LR/GRntxrdCq313bt3oEY5OjquOQ48FhwHGrD55UAVBMoaGBg4Pz+/yZkW G7DbGyAI/G7DR6ojOB7XWhT8I0r1//jxI9ZFtSGLi4vj4+ODg4P9/f3d3d1A UAcGBoaGhtYdfQ2BQCAQSbJRK0+ghn5La134MqJ1aIo/HvX/+u0kgK8uoxr3 2/FvKPxkQeKbDxKA1gpaf1Cjbty4seY4OLL5SlYAFoslqJDh4eFbjh4kUL39 /Plze3s78Pny8vKCgoKcnJzML+Tm5hYWFlZWVjY0NHR1dU1OTgqfZmlpKULR 6cPldq6CyH58mp0QMTo6Kr6ChUAgEMheg0Ctv5DW+nGC9398dxLkwlUJ6jNW vQqShda6JePj4wLzXPm96szMjODgRj1vS0tLVCpVcE5SUpIwE7RxXm8XFxd7 enqAkaanp7MTI9EoNyTsBhJgiPhpID5KCFmOHz4qiN95JMgUCbdFY7zYSXFZ WVk1NTWfPn3aMv03b94godbNNAXM7XSj4Hj+KwdlwbGgEAgEAhEhOG/9V7Kl tQoGtQ5M8P7Xo23HqXD+FgPLdHxeewJIdnlo685yuEcQTLyqqKhYPlJeXg6O 3Lp1a6NLXrx4IZh+VVBQIOS74LbeTk5Ovn37NjWVi8b5I8HmCPlspu/3leFn 3sfKdycpD3LUPqeoT6RrgAA/fOKodiQq1cWcexn2c6r3Kb7Qhl1n08OAvm4+ Xb21tRWNfFAdeRZzO103RlPVEW95cBeSLHkIBAKBSD24bf2/Rkhr7Rvj/YPP tqOofVVquglrTwDJQmsVBsF2ru7u7oKvvMG/bm5u4EhycrLghJGRkVevXlVX Vwt+FQyFBRQXFy+sZnFxcaN3wWG9nZqaev36NQdJRMPtEbJcXsAPzTSFbU2Y GuaqAYMFlos8UkGj3FK4nPr6+nXH9w4NDQG5zaacxlxQ140PdEUkyKyyslLy nwIEAoFApBgctv4bIYy1Tszyesd4/9N7e2GfviqpkJfrnAOSBYlDa92S8fFx wShWBweHiIgI8C/42dXVdfnLYkHX69WrVwW/kkikjUZc+/v7b/QuuKq3S0tL TU1NXA6KhNuyyT++Cj+zy3lSA6hqSchPiPc5NIqUkZHe3d399TumpCSjXj9N ZuBx8auKp2eAdbe1tWHxaUAgEAhEasFV6785Qlprzyjvf5C3Efv9V40NaB/h H/n6NJDsOLRW4ejv73d3d1+WTzc3t5XeVVlZCQ5aW1vzvoz/tLS0JLS1TkxM 5Ofno7G+iLc8sDURrkY1yFErCPwR8dNi08MrKirWDBh4+fIlEmjyga6IuaOu ibmc86nep9hJseD5BasPBQKBQCBSCX5a/y0RxlqBWHaP8v6716qQofAuxfP/ XXNcEJyGVemAM9c9rRta6zYB0tLR0TE4OCiO7S9xUm97enpSktlIqGWW3/f9 4pnR35agmOJ9Go10zMrKGhkZWX7rzs5ONPZRYdCPmGvqmuhOUkYol4DJY/i5 QCAQCEQqwUnrLwzCW+vfev4W+x7zu08BI9M8ueerXgJxZfWWoYFla09YDmit uAIP9balpYXNeIH4qlU8PTOTdV58HjiWppEf+AMSYMjlsAYGBgTvPj8/z01m o+Sf8bbXAH9/gSg3UDjYfjoQCAQCkT7w0PoLifDW+t8e/hZuub+dA8T1TORv L/3O71ehFQB+BkdWXrsyoLXiCszrbV1dHTshAvWWk8zyU3M556siziJ+55OR xOXhFtXV1Ui47etnOFpJYCRFHSWf5XLQmZkZbD8gkbC4uDg2Ntbb29vW1gY8 vLGxsbW1taOj49OnT9PT01tfD4FAIBCRgnnrLzzCW+tfe/wWt1JWnVbTy/tH 319f8i9d9ZImddWFawJaK67Att42NTWx6eFs8k+dDCVJOuG76HPII5VkJEHQ 4zoxMcFhJXDIP4yn46W7tTL8DBrhUFtbi+Gns3uAqb5//764uJjN5sTF0EOD oik+ET6eYWT3J75e4QF+kc+extHpSRkZGVVVVZ2dnZvv4waBQCAQUSF91toz yvuv7qsi78OqM6t7+Qc14lYdpJSsvWpNwNlYuALDetvR0cFmxKDks11JypLX wrqYc4jfeS6HJRjjCqwJCbeteHoGc18F8YmjinrLJbOTCLop6tLSElDQgoKC eBoDOKrtNR9TbRdzXU9rY78bZsG3roTetgi7eSXExjTQ0gC8RLpq5OZk7w+c lsNJfv36NXBdrO8AAoFApByptNa/clsV/9uHb6oriapadaRtmH/OmqvWBLRW XIFVvf38+TOwMsRHqTUes8n7r5+dRQIMMjMz5+bmgB/yV9zylhfTXLBtRa7/ D2iMZ0NDw9bliD+6u7uzs7PDw2L5snqJdONy0P3rsQ/tUS+H5I2CdJthbxVp aehzRY/k/iA4MYFZWVm5rZ15IRAIBLItpMxaJ+f4evmfSWvjH7z5g1o3Qi12 nUvWBEgW7jKAHzCpt/Pz8zk5OUiQKbabUs3lnC8I/BF9dq+8vBzkqrm5GY17 nOH7/XQWlmu38juB/XWB+BFuF1fgmaWlpTFRtJuWZHNdT4dfoj3vcjaR1a/D zTbp5pWQy9okD+dgFOU0NTVhfU8QCAQinUiftfaN8f6T6zpx6un64upXvP75 awLujYUrMKm3tbW1aBQp1/8H4I3Y9mqOp2ukeH/Ppod1dXUtLS0VFRUhYdfL nvyMVX76ERWUfJbDih8cHJT857Ibent7udwUN6cgU22Sg3XUtmR1Tbjbsa6b Blw1co8IiwUaLB3z0QjN+Ph4Z2dnfX19RUVFfn4+eKRKT0/ncrlpaWlZWVl5 eXllZWXgP3VbW9vQ0JA4FuiDQCAiR5qsdWGRNzXH6x/n/UfX9cMgce1VH4Z5 f0fe8PyVAZIFiS9Aa8UHkq+3nz9/5rDobPJPu9z3SlTRnqCE+Gmkp6cJxgmk piQjj/nTtSSfk88p6qk+36PUgMbGRgl/KLukubmZRmPYWHhdM6F42CG7Udbl cLpBvazj5kUKzczMhPssSJ7FxUXwJFJVVZWRkUGLSwx8HPnQJcThlt+1K56W Rm5meq7GFx9c1nGxMHSzvuxx57oP6X7QY5+I6EgaeHh5+fLlhw8fZmdnsb4J CASyIdJnrQMTvP/ixvsLl/XjF86qq5RiNjxzZfy1Bz9ZaK34QfL1tri4GAmx eBslh7mvLkdh0I/oc5d3796B7A0MDCQjiYiPShNVEitxLcd4ukaG7/dozMOK igoJfyK7pL6+/kU0HdiLnWWESHx1ZaerpYGPkx0lJSV1dHQU6xvdK4yNjb15 8waUefiT2Ad3/fmOquN+3cTf9urTe9diXG4luNkmgWcTz7scD3vU7Q7T9Xbi /eux4NO/cTnIXM/TTNf17k2/gMeRCMIuLy/v7+/H+oYgEMg6SJm1zszzhqZ4 hwN5/955w7ifyRue4oc1Z7PTVgZIECQLEofWihMkXG8HBwfZjKhU71Ni3U1g uzHMVUO95VKS2YLeoa6uLg4zDvFReB8rL5kMfE5R5ytrpBNQ+sXFRUl+Iruk paXlRQz9ih4J+IxolVUQD++yrY39HG75paWlw/lZ4mZkZAQ8NCUmMB+6hJgb kK7qk+0tn5FuM7b7rHHvl2jwqV3WcblvR4mJouXn5/f09GB9cxAIZBXSZK2L S7zZBd7naZ4Nl/dnD0QZvyTzkwWJg7eA1ooHJFxvy8rKkBCL+hcYfP++eZSG /oQ+d1mett/e3s5hxSO+6tWRZ8U9+HYAVeUPDIj2AMpKrAVL+/r64mkMC0M3 MSmrIDzvcqyMfF3uBeTm5hJuhhpRAM9rr1+/ptMYro6Bl7VJN82CtyurX4eH HWJnGWGm425n8yjqGa2oqOjz589Y3ygEAvkVqbFW3hdxnVvgTczy3vTx16r6 UyfRBEgKJAiSBYlvPmAfWqvEkGS9nZycZDNpyeRT2E7SXzc+cVQRH8WMjIzl uST86UUcJhJgmBfwg/g2e22IlWd7n0Hj/MvLy4mlZPy1wrgpNhZeIh8YsE6P qz1qrufp7/sMmBXW9y2FdHR0gI/SxzPsso7rLfNQdzuWaB867lpFAnd1svNn JLJqa2uJ9W0CBCKtSJm1Lizypr8MEgh5yfvTB7w/cdptgERAUiDB6a2GBwiT Q4iokGS9bWxsRCOdKsNxsZL/15H9+DSbFiLYLUvAyMhIdnY2yDPX+7TIh7kO c9XyA39AKJc4LGpDQwPhZl6XlZW5Pwj+xfixuJVVEKTbDDMdUlwMva+vD+tb lx7m5+dfvXoVExX/y+WH1kZ+brZJ4nvuuHUl9IoeKYjyPD8/H06vg0AwR5qs FbD4h+7WvjH+dld/6cr7d/d3HuBy/1J+UoKO1sWt2mdorRJDkvWWv0arnwYe lvFfN97HyiOhVlVVVSvzPDc3V1lZyWZEIf66OZTT3aLYxmssTaM68iybfAaN ImVkZHz8+FFiH4Go6OnpAarDX1hVRCsGCBP2VpG3rb2JuJItPpmYmAD/JSk+ EeBx4N4v0RL4BF1vJZjrejrfDeCwk+HTBwSCLVJmrYLu1tkF3tgM3zbLOnmm Sbx/fMT7MyfeHzsKG//BmbfPj3eFxSvv4icyPstPcMuOViFzCBEJEqu3U1NT bCYtxfvfMLfTjWI0VR3xPgc08uvMDwwM8DtdY30RP81syunWeMWdDXIYQFUr w8+wyT8iT29xkIR3794RayCrgKWlJWA7t6zId62fS0xZBWGhTw4JiGppacG6 DAjPyMhIWmraA3t/Cz0vku1uh7AKHw/t0eumAdfNPRMTmO3t7VgXAwSyd5Ey a+WtENeJWd7gJK97lNc0yKvt59X08l518yq6fo3yFbF8sKqHfxo4GVwCLgSX TwitrMLnELJ7JFZvOzs70RgvDBfwFybSH51iM6LHxsa+zv/i4mJbW1tWVhZK 9UeCLnPIp8G9NNMUtlx1Fvhtd5JyTaRchu/3iK8aGunIQRivX78m7pekXV1d z57GXdF9KGFlBXHfJu6amWd6ejocG7kbBgcHOZxk+xu+1kZ+m2+2K6awvfrU 0tidFpfY3NyMdWFAIHsU6bNW3h/EdW6BPxh1fJY/KvXjBH+bgN4x/sas3RsE eAmcAE4DJw9P8S8El88JrazbyiFkl0is3tbU1CChVkDzMFfTTaIy/Awa5bZJ F9DS0lJ3d3dZWRkHZaAxnkiIJeKjmOz1bzmU0y/Dfq6KOPvmuVxttFx15FmQ VGHQj0CDEc/TiL8e+uweOyEiOzu7oaGB6Cs4FRUV2dk82uUGWDsOC31yWGgM MGesi4GojI6OcrlcW2uf66YB291yV4Rx1/q5uQEJiGtHRwfWRQKB7EWk0loF ANsUuOvMPD+Agk7O8WNidp0QvARiev7X8wW+urCdrhForRJDYvWWv7kA5SJu B7UKgj+0NcxGsN3A5szMzHR2dr5+/TorK4uNMNj0p+gLMhpFQiPvA0FFn7ug 0R4oNYCdFAcMoaSkpLGxcWhoSALlLG4mJibo9CTTS64P77KxsR2ryHu3H4MH B6xLgpBMTU1lpGfwt7gyoWDlqys/SisT98QEJhzjCoFIHim2VgGLS7/K53Zj y7lXosohZAdIrN6mp6cj5DMT6eJaQkok0Z2kjAQYvHz5clu3Nj8/PzIy0tPT 09HR0dra2tzc3NbW1tXV9fHjRyAJYipPrGhqavIlh9uYBmKlOh72qKm2K4uF zs3NYV0YBGNpaamwsJDkFGRl+AjDXtaVYWvx1MbcM5mTDJ6GsC4eCGRvIfXW Kknwn0OpQTL1dmFhgY0kJXvhdyqWIEZS1JFHqnl5eRIoE4JSWlpqZ/PI8doL DFXH0tDnaWgM7KDbLrW1taGBUVd0PDywGMu6UVw38Xe5F1BQUADHKkMgkgRa qwjBfw6lBsnU25mZGTaTluZzCnMv3TzG0zUQ73NZWVkSKBMisrS0lJzMvazj IskFr9btoPNwDhZmIAdkmYGBARo18YoeyeUmHXNTXRkP7dErug+DA6Lq6uqw LiQIZA8BrVWE4D+HUoNk6u3ExASbEZ3l9z3mXrp5TGdpIp4/pqWlSaBMiAj4 HGlxiWY67th6zv3rsXY2j+DQVuFZXFzMycm5c91HAhuZ7SCASF/RJzGTkHWX 74BAIOIAWqsIwX8OpQaLFYjvXcbHx9mJz7Mfn8bcSzePmazziOfp1NRU8RUF oenv738aGmNl5Iut5JBsGZbG7tnZ2ViXB2FobGwMDYwy1/PEyXDWr+OmWbCL Q0BxcTHWRQWBSDMWq8E6O8KCfyfEfw6lBsnU2+npaXZSXPojvI8QmEjXQMhy mZmZEigTItLZ2RngF4nhVCxBPLzLNrnknJKSgnV5EIPZ2dnk5OSrhm7ON+Mx t9ONwsMevaztFhMVD56MsC4wCGRPAK1VhOA/h1KDZOrt/Pw8G0nkkvE+G+tz ijrio5SbmyuBMiEiHz588COH3zQLxlxyjC84owi6JOQC0Hub9+/fU3yeWRv5 Yf6pbR52lhEOt/yKioqwLjAIZE8ArVWE4D+HUoPE6i2Xy0U8T89kncdcTTeJ fkQFoVwqKSmRTJkQjpaWFh/Pp7euhGJuOMYXXVgsBM463xLwwJjCTbE0csdz R6sgHt5lm2qT4mLonz59wrrYIBDpB1qrCMF/DqUGidXb/Px8xE9jkKOGuZpu Ei00BSTUqqamRjJlQjja29spPhE3LgdhbjhGF5ySk5OxLg8C0NHRERoUbWno g/lHJkzYWjx1uRfw6tUrrIsNApF+CGet+AfrctoTSKzegpYICTJrT1DCXE03 iZpIOTTSqaWlRTJlQji6u7uD/KMw31bJww4x03OFSz0IQ0lJyd2bflhtv7vd cLvDNNN15XA48/PzWJccBCLlQGsVOViX055AYvUWqCAa+aAq4izmarpJ5FBO s+NDBwcHJVMmhGN4eDgqkmahT8bWbZxvxttYeBUUFGBdHnhnamqKwWCZars+ xNO2ApuHleGj0MCozs5OrAsPApFyCGStEMgyEqu3nz9/ZidEZvrid8nWqUxN 1OsHbjIHjpbciLm5uSQGy+SiC7Zi42Addd+OUlVVhXV54J2Ojo5ASiTmfePb irtWkeDDhYMEIBBxA60VQkQkWW9TU1MRstznFHXMBXXdaE9QQgIMS0tLJVYg RCQ7O9v6sofLrQQMxcbGNPCxdzgcyLElQOyd7P3trSIxd1Hhg2TLsDAgpaen Y114EIiUA60VQkQkWW9ramqQMJt30ecwF9R1ozjkJzSG3N7eLrECISLgQ3R1 DMR2iyUzHfe4GPrnz5+xLgy8k5GRcdXIjXSbgbmLbvvzjU0Y/f/t3QlUVFmC JuDOye4zM1VTU3PqzJlTM9NdM1WdmpmmuVXX6Zmuzsqqrq7smq6qzs7K7kxx SVNlCxZZFZEtIgiWAEFkC5EdZAtZglVlR1EUlMUFlMQNQUREkX0xlrn4qqNC ZAmCiLjvBv937vHIjfceNy434v7vxYv3Rkdp9x+AJUNqBRaZc9wODw+XyJMq eXmSwMTpz4pDf1FWopibmzNbh7BoYGAg8ehxe3qntga45TruDsKdIFY0MzNz Ql64+0sx9RS62uK8Kyo2KrWvr492FwJYMqRWYJGZx21tba3i8Bf383l3JYGr aZ8oEvbiVMkVqVSqioqTtjvEIo8TVCKNq3WcVHK0s7OTdk/wHdlJTEnMst8R Rj2FrrZ42CWEiGU3btyg3YUAlgypFVhk5nHb29tbnBVVG/Ux9ZiqW6aqfl8m /bikMAsfSurj6tWroYEylz0U7usatF+xe4soLzd/bGyMdjfw3b17947w4Pa7 BpSDTuk+nofxhSwAk0JqBRaZedyq1erq6mpF5Oe8unBrR8onCpljc3OzObuC XZOTk4UFRdZWokDPAjPnGXdbmfBgNP5S+uju7g4VyzzsEqin0NWWALdcN4H0 3LlztLsQwJIhtQKLzD9u+/r6SvISToX/bLr699TzKilPyj4tlv6yrPgEDt/p r729XSpJcPr6sDnDjNgz39pKnJebPzIyQrsDGNDZ2Snxi6X7vTnDishd7mwd 0tDQQLsLASwZUiuwiMq4PX/+vELmyIc7DszVfl535OfFaRKcJ7kqMzMzZWVl jruDfPZmmi3MOHx1KDzkGAnMtJ89G65cuSL0jj7A1GWvuBLoWSDYKampqaHd hQCWDKkVWERl3I6Pj5eXFinCf9t7gvJ5AldSP1HE7CTzo1KpNH8/MO3u3btp KTl7rMTmOU9gn32iu4P01MlTs7OztJ86G0i899t/hJV7ueoWyb4i2x1iXCYC wKSQWoFFtMZtb29viTypLOzjp+Wf0oqs9/N/owj7dVkxPnE2UEtLS0Root22 UFPfMNR373HbHYHyvIKhoSHaT5oZ165dE/nEeAmSqafQ1RaxR77j7qC6ujra XQhgyZBagUUUx21bW1txZtip8J+NnfrM/JF1UPG7EunflciT79y5Q6sHWDc3 N0eihdgnRvBVePCBEhNlGH/XHOut4vSUnO7ubtrPmCVdXV3Bwvh99onUU+hq i9Bd7mIbcubMGdpdCGDJkFqBRRTHrVqtvnDhQnGqsCrC3MH1UfE/lYV9XJIT h9NZ12hqaqrydKW/1xH7HWFB+xVGDzC+e4+TyJp0LOvKlSu0nytjenp6woMT 3G1k1FPoaoufS5anUzjurQxgUkitwCK641apVJ49e5YE11PhPzPbqQJ9Bb8t lf5dcU4MvtdjFBMTE9XV1UHCeBurIKG73IjpxdP+mO12cXpqztWrV2k/S/Y8 ePBAFpNm5us8GKV4OaQID0Z3dHTQ7kIAS8ZQav0TRtDup3WB+rglwbWpqak4 U1oe9rEZ7pnVmfEPxWGflOQlXrt2je4TtyQzMzNnzpyJj06z2SbeZ58YcqB0 jblF7JHv8NUhD8cwubwQJwYYZnR0NDMjz3ZrCPUUutriZh0XEZp469Yt2l0I YMmoz/76o51G9UW7n9YFPoxblUrV1tZGkqQi/Ddtyb+aqf7cFHl1/PRnjXG/ UERtKS3K7enpof2kLQ35I5IdgZycfC/XCJKUDjpnGJZYJPuL3G1kNlvFJLec OnUaX78yGNkfLFYU7/pSaLpTjk1UyA7LMVnm4OAg7S4EsGR8mP31xP9MyP8W Wgz+jNt79+7NXw5LJjgV/pFxD7rO1X5+8/ivy8J+Xpzkffr0qcePH9N+rhaL 9G1dXd0xWYarQEqy635BEkmhemaVALdclz0xe6zEYp8Yubywo6MDF7laozNn zrgJpH6u2dSDqP4l5EDp7i+FhYUK/PUBTIo/s/+K+J8J+d9Ci8GrcTs2NtbY 2FiSK1NEflZ35Od9Bb9dY16drfn8Vs7/q4z4mSL6q5L8jNbWVkyFpqZWq8kO SE1NTUpilr/XkT1WQvvtUndb2UHnDJG7PGi/gjt/INirWLKvyN8154BDyt7d 0dZWEifr4PDghBPywpaWlmfPntF+Hpags7MzRCTzsD1KPYvqX8iQcLEPxY2x AEyNV7P/8vifCfnfQovBw3Hb29t7+vTp4uMRisjPqyN/1pX5DwZcYeBJ2adX Uj85GfbRfF7NS6ivr8chVnMi2fXhw4eXLl0qKSkh8TU0UObtHulsHWy9TfT1 F/47/9V/95YA2x1idwdpwIHoIxHJOVknqquru7q6xsfHabfdcjx69Cj5WJbd din1LKp/ITs4wSLZ9evXaXcegIXj4ey/FP5nQv630GLwc9yqVKq7d+/W1NSU 5B5VHHUulv6yJurjjpRP+gp+O1Lxz3O1i5z4OlP9OUmqd+X/eDnx7+cProb/ oyJxX0l++tmzZ0l8ov2E1i+lUjk0NHTjxo2Wlhay70D2R8rLy0mUPXnyZFVV VWNjY3t7O/lbj42N0W6pBSKvo5MVJ+12iMUe+dTjqJ7F2kqSmZH35MkT2p0H YOH4Ofsviv+ZkP8ttBg8H7ck8LS1tVVUlJXkJRQnH1RE71SE/7Y45G9PhX9U c/jjuiM/J6U68mcnwz4qDvlYEfHPiljr4jRRyYm0ysrK69ev44NmWOeuXLkS FBDnbsvGVVv9XLP32oSQ3VXa3QZg+Xg+++vifybkfwsthp0O2m1ZklqtfvLk SXd3d3Nzc21tbWlJcUlhFommJMqW5CWW5KeXFOaUl5c3NDRcvnz59u3bo6Oj tJsMwAvkhZOVkbdnSyATVxJw3hUVKU28efMm7W4DsEx2L6PdHH3xPxPyv4UW g6Fxq0VC7PT09Pj4+LMXJiYmZmZmaDcKgKfOnj3r7RbpJUimHkqXLyKPE7bb xSXFpXg5A5gBQ7M//zMh/1toMRgatwBggIcPH6an5FhbSdZ+9weTlr27o8OC EnAftKmpqadPnw4NDQ0MDJC/3ePHj0dGRpDkwegYmv35nwn530KLwdC4BQDD NDQ0eLtFetofox5NlyoBbrl2OwIVRcUks9HuLXObnZ0lAZXEdfJnKi8vz83J T03KTpRlymLSZLHpiQnH01Jy8uWFp06damxs7OrqIoFWqVTSbjUwj6HZn/+Z kP8ttBgMjVsAMMzw8DDJQtZbxYGeBdQD6qLFbrs09kjajRs3aHeV+ahUqgcP HjQ3NxcVFSfEZQT6xbrYhuzeEmBtJbHfEeawM8J5V5TT14cdvjpkv126+0ux 9TaRh2NYqFiWkphVXlbe3t6Oq/nBWjA0+/M/E/K/hRaDoXELAAZra2sLD04g EYh6QH217LNP9HQKr6mpWSeHEMnTvH37dlVVVeLR4777ovZYCUlGJZ0Q4JYb 7FW8VC9J9hf5uWS528pIiLXdLiYpNyM998yZMwMDA7SfEDCJodlfz0xobW29 ZQmRkZF8aCGsHUPjFgAMNjs7e+rUaQ/HML6dJ0Cims12sTy3YGhoiHYnmUN/ f3/l6cr46LS9NiF220K9BMlB+xWr7TSxZ76HXYK1lWS/S0RqcjbJrk+fPqX9 zIAxDM3++mRC8gbyJ0v79NNPqbcQjIKhcQsAa0He1eXyQtvtYj/XbOphVXv8 kESvBFlGV1cX7e4xuampqaampoy0HFd7qf12qe/e42vsvZADpQccUkgH+nge Jn/ZK1eurJOD1WAUDM3++mTCqqoqbrEf/vCHm1/h5uZGvYVgFAyNWwBYo5s3 b6YkZllbiYXucuqRNdir2G67VCo5eu7cObVaTbtvTGtwcLCi4qQkIG73FrG3 Y5oxu/FAiYftUZut4ujIlPr6etwTGfTE0OyvTyYMDw/nFrtz5455WqULqdVs GBq3ALB2ra2tstj0PVaBYk+at3klWUvwVbjIJ6aurm52dpZ2r5hWT09Pbk6+ m0Dq+HWkAecD6FPmr3a7LcRvf1RpSdmjR49oP2NgAEOzvz6ZcNu2bWSZ733v e+Zp0gJIrWbD0LgFgLVTq9UXLlyIjkzZs4XaEdcgr2LBjnC//UcqT1da/KWu rl+/npmeZ/dV4H5Bkql3BPbujnYVSAsLFP39/bSfN/AdQ7O/Pplw06ZNZJlf /epX5mnSAkitZsPQuAUAo1AqlRcvXpTFpltbif1csswcWQM9C2y3hUj8Y6uq qiz+4+zOzs7U5GybbeKDzhnm6V53W5njniC5vBDXFoDlMTT7r5gJyc7v66+/ Tpbx9vY+e/ZsUFDQ7t27AwICioqKJicn+dBCMBaGxi0AGItarW5tbU1JzLLd IfawSzBbZPXde3yPlThSmlhfXz89PU27G0zr1q1bxzPySGT1Ne+ugaf9MWfr kKLC4uHhYdp9APzF0Oy/YiZsbm5e6uoBb7zxxrlz56i3EIyFoXELAMbV3d19 Ql7o6RQu+Crc1Ke5BnsVu1rHCXZK0pJzyBQzNzdH+9mbFnfFBvuvAg86pZsz snLFzSbewzHsZMVJi981AIMxNPuvmAmPHTumm1Q3btz4k5/85Fvf+hb34+uv v37p0iW6LQRjYWjcAoDRDQ8PV56ujAhNtNk6f9A1+ECJKUIUSW57tgQGeEcX FSpu375N+0mb3MzMzB+ujmtH7eq4jjsjJQFx6+H6DGAYhmb/FTOhg4MDt8xP f/rTvr4+rvLJkydffvklV//ee++ZdE8ZqdVsGBq3AGAKs7OzHR0d8rwCH8/D JFvus09c5g5Nqy0+zpl226UutiFpyTkkQY2OjtJ+uubQ0tISGihz2BlBK7KS ErRfYW0lSZRl9vT00O4P4COGZv8VM2FXV1d2dvbhw4cXnMWqVCrff/99bvWz Z89SbCEYC0PjFgBM5+nTp+RdPTMjz8czavcWsZt1nNAtz+DIFLivkKRfm63B rgJpQnxGZWXl/fv3aT9FMxkcHMzKlO/ZIpbsK6KYWknxc80W7JSUlpZZ/IUa wAAMzf5ryYSpqanc6vHx8cZtlS6kVrNhaNwCgKkNDQ2dP38+JztfGnjUYZfE dmsIia8+ezOD9Dj6GnKg1N81x8MuQbAj3GabWHgwOjU5u6am5t69eyqVivYz MxO1Wk2esqdTuJcgmW5k5YrzrqgQsezy5cu0OwZ4h6HZfy2Z8Ny5c9zqnp6e xm2VLqRWs2Fo3AKAeYyOjl6/fr2ysjI9NSc8JGHf3vDdW4TWVhLBV+Eue2Lc bWSedsf2C5I87Y952B51tY5z/DrSZmvwri+FLnahQcL4xKOZpaWlJCk9evRo vZ1U2dfXl5RwnKR96nmVK5J9RXusRPkniiz+ImOwWgzN/itmwgsXLhQXF9fV 1b36UFlZGbf64cOHTdZApFbzYWjcAoA5kcD55MmT7u7u8+fPl5eX5+bkJyYc jwpPJjk2RCwL9IsNFsaHSRIiwxKPxmVkZcqLi0saGhpI3H348OHz589pN58O Mm96OoZ707huwFKF7FYEi2Tt7e20+wb4haHZf/lMqFQqv/Od75AFfvCDH7z6 qK+vL7f6yZMnabUQjIihcQsAFE1NTQ0NDd27d+/WrVs3b94k6bSrq+ubb765 c+cOianj4+Pr5zSApQwPD2ek5VpbSagnVd0S6FlgvVVUWlK6bnclYFEMzf4r ZsLf/e533DIFBQW69ffv3//2t79N6r///e9PTExQbCEYC0PjFgCAz9rb2wP9 Ys151wY9i8POiPjotN7eXto9BDzC0Oy/YiasqKh47bXXyDLf/e53s7OzlUol 2UerrKz88z//c27dhIQEui0EY2Fo3AIA8JZara4or7DdLjb1/RoMKN5O6Qdc I5qammh3EvAIQ7O/PpnwwIED2rsM/PsXtD96eXmZ+pMgpFazYWjcAgDw1pMn T9JTc2y38eV7WLolyKt49xZhSUmpUqmk3U/AFwzN/npmwsLCwh/96EfasPra a69t3LhRLpfzp4WwdgyNWwAA3uru7g4PSXCzjqOeURct9tulKYlZjx8/pt1P wBcMzf6ryoQDAwMNDQ2NjY3Pnj0zaat0IbWaDUPjFgCAt5qbmw+4RR50zqAe UBctbjbx4cEJ33zzDe1+Ar5gaPbnfybkfwstBkPjFgCAt2prax13B4k8TlAP qIuWA46pfl5H2traaPcT8AVDsz//MyH/W2gxGBq3AAD8pFari4tLdn0pDDlQ Sj2gLloC3HLdBNLGxkbaXQV8wdDsz/9MyP8WWgw7HbTbAgDApJmZmby8gj1b Aqmn06VKoGeBYGdgTU0N7a4CmuxeRrs5+uJ/JuR/Cy0GQ+MWAICfJiYmso7L bbYGU0+nS5Wg/QrrbaLTp0/T7irgC6PM/qUGWe1v4X8m5H8LLQZSKwDAGj17 9iwjLcduu5R6Ol2qhBwo/foL//LyctpdBXxhrNS681/8VlWQWmEtkFqB51Qq 1cjISF9f340bN65cudLW1nbp0iXy79WrV7u7ux88eDA6Okq7jbDejY2NZWbk 8fNirVwJfnHJVpPeih3YYsTUqv84RGqFNUJqBX6amprq6elpamoqLSvJyImL TwkIixcEHtkhjPzCL+Iz4eEvJNFfHZI5H00TZ+Ulkrm4paXl3r17c3NztBsO 6xEZrjk5+dZWEurpdKki2Vdku0NcVVVFu6uAL5BajYj/LbQYSK3AN4ODgySs FhTlRifuPxj+G3v/t52DN3gefutg/KaApM3ClM3itHfJv/6J73jHbXKPeNMh cIOj8D3/yM9lqaKSkqLLly+PjIzQfhKwvpDdpYL8wl1fiqin06WKyOOE456g uro62l0FfIHUakT8b6HFQGoF/nj06FFDQ0NmTjyJoPYBG0lSJQE1ouDDqOIf L1/CT3wgTN7sFv6mIGCTJHpnXn76hQsXcOYAmNOpU6est4kk+4uoB9RFi8/e TC+XiObmZtr9BHyB1GpE/G+hxUBqBT6Ynp6+dOlSjjzZJ/x3AvEbfsfeiSxc Oay+Wg7lf+Adt0kg3Bh4ZEdBUe7169dx43Uwj8bGRjeB1N81h3pAXbTss0+U +MeSVwTtfgK+QGo1Iv630GIgtQJ1g4ODFSfLw+IFJG2SvHpYYUhe1S0RhR8e iH3bQfhubLJvXV0dDrqCGXR0dAh9ovcLkqgH1EWL866o2KjU3t5e2v0EfIHU akT8b6HFQGoFum7evJmXn74v5Jfuh948lP/BGvOqbgnNfd85eENA5L8UlxQ+ ePCA9hMFC9fX1yeLSXP8OpJ6QF207N4izsvNn5ycpN1PwBdIrUbE/xZaDKRW oKijoyM9O8ZR+K5vwjtGzKvaEln04f4jb7tJfiovyLxz5w7tpwuWbHp6Ol8+ /4UsHt7UVegud9wdVF1dTbuTgEeQWo2I/y20GEitQEt7e3tyZrhA+HZg+rum iKzaQiLxXvFf5ciTEVzBpM6cOePpGO7jnEk9pi4o7jayEJHs6tWrtHsIeASp 1Yj430KLgdQKVHR1daVlRwuEbwVnvWfSyMqVgKTNJLieKDiOUwXAdG7fvh0d meL09WHqMXVB2bMlMCtTjivCgS6LT61qteHFPC0EAyC1gvmR6JgjT3EQbpZk mPYo64Ijrm6SnxaXFo6NjdHuALBMs7OzCkWJzTax2DOfelLVloNO6e4OUlyp FRaw4NSqDZ+qfytK1cpFu7AB2RWp1WyQWsHMJiYmyspK3IM+8k80ybmsy5T9 R94SRn5Bpm9cDgtMpKOjI0Qsc9kTQz2saovttpBjskxcPQAWsMjUqptXSRCd U2pmX5SZ5/NleonCPcotSVbhEuyqsitSq9kgtYKZNTU1BUV/7RH5lpkja9SL L2c5BW2IS/Hr7Oyk3Q1gmchOWUF+kbWVSOzBi8OtB53SXexCq6ur1QZ86gkW zfJSqzavPn+RV0kcnZzTjM9qRmc0z6Y1Iy/K0ynNE51CfuTqyQJkMbIwWYWs SFZ/rpNdjdVCWDukVjCn/v7+jJw4e+GGCINuIrD2EprzvqPw3SKFHOcJgIl0 dHRESBMddkZQj6zBXsV7tgSmJefcv3+fdq8A71hYatVGVi6v9o1qQs5ofnNc 826c5q1ofQtZ+LdZmvDG+dW57KpncEVqNRukVjAbtVpdXV3tGfILYfJmKpGV K14xb0uiv7p48SLt/gDLNDs7e7LipLNNiLdjGt3U6ronNsA7+ty5c7S7BPjI iKl1VcV0qZWLrFNzmqJOzV/JNG8eMbz8WDa/EbIpbXBdewvBKJBawWx6e3sT M6ROQRsoRlZSIgo+tA/YmJef8ezZM9pdApapr68vMz1vj5WY4nkCB50zHHZJ ihUl+FgBFmWs1GqA1f6WFTMhdzj0uWr+AClJmyR2blxzIRshmyIbJJtd8XAr UqvZILWC2dTV1e0P/ZUoleaBVq54x74dHLOrtbWVdpeAxWprazsSkWy7LSTI q9j8kVXkcYJk5oy0nLt379LuCeAphmZ/fVKrUjX/Xap7I5oP4jUbooxTyKbu jsxvVqlCatVXZ2dndna2TCZTKBQ3b95ccfmJiYmKiorExMS0tLQzZ86Mj48v vzxD4xaY9vTp06y8RIH4DeqRlZTwEx84BLxTWlr8/Plz2h0DlkmpVNbX14v9 YgVfhQcfKDFnZA3cV2htJYk7kob9MlgGQ7P/8plQe6B1ck4TfEbzRpQxS2D9 /GZXPNyK1MopLy+3exlJpMssTzKqp6en7vK+vr6PHz9eZhWGxi0w7erVq9I4 W+/Yt6lHVq64hr2ZkBaIywGB6UxNTVVVVfnsi3LcGRlsriOugZ4FNluDI6WJ TU1NKpWKdh8AfzE0+6+YWlXq+SOiYzOaf8jQ/OVhQ8o/Z2tOdmuuDWp8q1+q /yR9frOzK53ditSqefFtawcHB3t7+8rKyvv375eVlXFB9Nq1a0utkpSURBYI Dg7u6em5ceOGSCQiP4aEhCzzWxgat8C0mpoaV8n/Dc15n3pe5UpA0mZh5L9e unSJdseAJRsfHz918pS/1xH7HWFB+xUmPzHAXb7HKvBwWOLZs2fxOQIsj6HZ f8XUqnxxRuuTqfnzUX8YaUgheVXrn7L+WL8han6zZOPLnySA1EocOnSIDKrc 3FxtjVwuJzUxMTGLLn/z5k3yqEAgGB0d5WrIf0juJZXLnNrE0LgFdk1OTsrz j9sLeXF6AFfC5B84Cj84ffo07b4BCzcxMUF22YJFMmsrSYBbrukiq7dTurWV OD46rampCZEVVsTQ7K9nah2a0PzvCEOK9OxLG9ye/9KjZLNIrSuanZ21t7cn g+revXvayvv375MaUj81NfXqKkVFReTR2NhY3cr4+HhSmZ+fv9QvYmjcArv6 +vpkqUKPCAp3FlimOIjfyJEnr3juN8AazczMNDY2Ho3LsNku9rQ7FnKg1Lh5 NWi/Yu/uaMc9QZkZee3t7TgxAPTB0Oy/YmrlTmp9NKH5waFVl48S528xoNX7 bOECZLPaU1sNa+F6cPfuXS6gLrihCXfs9M6dO6+uEhMTQx4qLy/XrayoqCCV 0dHRS/0ihsYtsOvGjRth8YKD8ZuoJ1Xd4n7ozYT0oIGBAdrdA5aPvJN3dnbm 5uQfcIu03Rri65JllLxKAvABh5Q9W8SBfrHFxaW4mwDoj6HZX8/U+nBM8xfh qy6N917a2lb5wgXIZpFaV0Te38iI8vT0XFDPfdlq0VNbpVIpeaihoUG3kvy4 /KmtDI1bYNfly5f9Iz/nwzWvdIt37NuRCS49PT20uwfWi+Hh4fr6+oT4DCfr YPvtUp+9mQbn1WCvYi+HFGsryT7n8Mz0vAsXLkxMTNB+fsAShmZ/fVLrxKxm YEzzP8NWV7xePkcs/uIiy5DNko0jtS7vypUrZEQdPHhwQX1AQACpX/R6JkFB QeShpqYm3cqWlhZSKRKJlvpFDI1bYNe5c+f2h/59cNZ71JOqbvE79k5wzK7r 16/T7h5YR9Rq9a1bt06fPi2LTXcTSPdsCXS3kQW45ep52gAJq74uWXt3R+/e IvJ2j0xLySExGJ8XgAEYmv31TK0PRjX/XbqK8taRl84NuDcyX/PqYmSz40it KyEzKRlRPj4+C+pJjiX1JNO+ukpoaCh5iOxx61aSEEsqSaBd6hfZLcEozwKA 09DQ4B70UWguXy4gwJWApM3iKKuOjg7a3QPrjkqlunPnTl1dXdZxeYhYttc2 ZNcXQsedkSTBHnBM9XPJIjlW5HFC5C4n/yEx1UuQ7GodJ9gRvutLoYdjWKQ0 8YS8kOwMIq/Cipaa5Rma6PVJrSRY9o9qvh/6UnkzSvNl7vy/C+q5Unrjpe2Q JRddrB+pVQ/9/f1kRLm6ui6oJzWkvru7+9VVjh49Sh6qqanRrayuriaVkZGR S/0ihsYtsKu2ttYl8K/D5B9QT6q6RZS6OSDyX3AldqBoZGTk2rVrJL7mnyg8 GpcRHpzg73XE0znc1V7qtCfY2TrETSDdv/eQyCeGJNWkhCyForixsZFMAZOT k7TbDmxjaPbXP7X+t5A/lo2H5w+fEiPTmk9SX3qIFJuilzYSc2HhAtqC1KqP 8fFxbldodnZWWzkzM8NVDg0NvbpKTk4OeaigoEC3kvxIKlNSUpb6RQyNW2DX /LFWyd/y7VirMHmzKGpLe3s77e4BmH97HxgY+Oabb8iAvHDhAomm9fX15IVz 7ty5ixcvXrly5fbt2+SdH5e0AmNhaPbXP7X+1+A/lsC6Py5Dguvfp/zxoTci /xBoOeT/pEZ3Xd2C1Kon7otXLS0t2prm5mZS4+7uvujy3Bev/P39dSv9/PxI JdmRX+q3MDRugV3z57WG/JJv57X6H3snKHrnMrftAACwVAzN/vqn1u8F/bG4 v3wr0Y4BzY8i/vDQkZe+AKT5ffZLKy4oSK164m7nKpFIuE+CyL+BgYGkpqys jFtgZGTk8uXL2iNF09PT3PkD2i9knT9/nvzo4eGxzBUpGRq3wC6y8+V76FNx 2rvUk6pu8Y7bdEjmtOj5NgAAlo2h2V/P1PpgVPNfJC+V+pevEto+MF/5WdZL lVHnF661oODbWHoiUZNLod7e3klJSeRf7moASqWSW4A79Gpvb69dpbi4mKuJ foG7TwFZbJnfwtC4BXZ1dXWFxtr4HOXX9Vo9It46miZ+8OAB7e4BADA3hmZ/ /VPrdwNfKv8rfD6p6kprfanm7tP5ZRastaAgtepvcHBQIpFov+4XGBjY39+v ffTSpUuk0tHRUVujVqvLy8udnJy45clDCoVi+V/B0LgFdvX29sam+Hoe5te9 sZwkG47nJmjvgAwAsH4wNPvreZcBEi+/I15Y/iJs/qTWpXx6fJFVFhSyWdxl YFXGx8fJpD88PKxepst0qFSqgYEBkm+np5f+U/0bhsYtsGtsbCxHniIQv0E9 qWrLofwPBP7vVFSU6/myAgCwJAzN/vrfG+vbokXKR8cWD66R5xZffkHBvbF4 haFxC0yrrKx0Fv1YmseXywiIUjf7Hvr04sWLtDsGAIAChmb/FVOrUqWZmtMM jmu+JVq87DixcK07TzX/Q7rk8rqFbJZsXInUyg8MjVtgWltbmyR6J39ObXWP eDM22ef27du0OwYAgAKGZn89U+ujCc1/DtT8B+Hixan0pbV+k7Hkkrrle0Hz m0Vq5Q+Gxi0wbWhoKD072kmygXpeJSWi4EN7/7eKFCdmZmZodwwAAAUMzf76 pNaZ55onU5p3YzT/PmDJ4luleTo1XxxLl1tMt5ANks2SjSO18gRD4xZYV1VV 5Sb5G0km/au2+h59R3j4S5weAADrFkOz/4qpVaXWzCo1z6Y1LuWaP/M3ZnEq m98s2Tj5FUitfMDQuAXW9fT0xKcEuEo30o2skUUf2gvfyMo79vjxY9pdAgBA B0Oz/4qZkOTJOaVmYlZz5eH8tar+1M84hWyKbJBslmx8+a/tIrWaDUPjFlj3 /PnzipPlLoF/LcmgebsBn6Ob/CI+a2xspN0fAADUMDT765NalSrN9IuTBOIv av7UX/O631oL2QjZFNng9EqnB+jTQjAWhsYtWIBbt24lZkgdJRsiiz6kElnD 5B8IhG/l5qcNDw/T7gwAAGoYmv31yYSqfzvc+nBs/nZX/0mk+Xe+hhey+pGm +U1xB1pVK10fEanVbBgat2AB1Gp1fX29X8Rn3rFvU0mtrmFvRhx1bm1tpd0T AAA0MTT765MJucOts0rN2Mx82rxwX7O7QPOjQ5o/89O85qNv+Y8Bmo2RGpsi TXPf/EbGZ+c3uOKBVj1bCEbB0LgFy/D06dNCRZ6z+MeB6eY+T8BHtslL+smp 0ydx6QAAWOcYmv31zITa4Doxqxme1PSPar4Z1lwb1HQMaC73a1r6/lCadYq2 svXB/GJkYbIKWZGsPqF3ZNW/hbB2DI1bsBi3bt1KyzoiEG4MzTXfTQfEae86 iT44UZCFL2EBADA0++ufCbngOqecPxl1fHb+rNShifnbBAyMzd+YtX+JQh4i C5DFyMJPp+ZXJKvP6R1ZV9VCWCOGxi1YksuXLx9NEwtEG8LkH5ghsgZlvucg fCczV9bT00P7qQMA0MfQ7L/aTEjSJpddZ57PFxJBJ+fmy8TsIoV7iJTp539Y nsurpJiuhWAwhsYtWBKVStXU1BST5E2Cq6mPuAamv+sg3JSaFXXt2jXazxsA gBcYmv0Ny4Qq9R/C52rLit+9MlYLwQAMjVuwMEqlkgTX+SOuwo2mO8fV79g7 jsL3M3Lir169SvsZAwDwBUOzP/8zIf9baDEYGrdgeVQq1eXLl9Oyo53Ff+Ud +7ZxL4d1KP8D90Nveob8Ijc/rbu7m/ZzBQDgEYZmf/5nQv630GIwNG7BUt26 datIIfeL/L1D4AZj3YAgIGmzvXBjaKxNxcnywcFB2k8RAIBfGJr9+Z8J+d9C i8HQuAULNjIy0tDQkJQZ5hL4f1xCNxqcXQ8rPhQmb3aUbPCSfpKVl3Dx4sWp qSnaTw4AgHcYmv35nwn530KLwdC4BcumVqtv37598lSFLFXoLvmIJE8f2Sap 3l/UCsl6zyvmbXvhG97SX6ccj6ytrR0YGKD9nAAAeIqh2Z//mZD/LbQYDI1b WA+USuWtW7eqq6szcuKCor/eK/6JQPSGR+RbJMGKUt8NOv5eSPb7JMqSf4My 3xMmb/aO2+QW/qZdwF+SoBsuc8w5kdLQ0NDX16fW8yp7AADrEkOzP/8zIf9b aDEYGrewrjx+/Li9vb2qqir3RFp8SkBYvL1f5O+9pJ94BH/sJvkbz5CfH5D+ Wnj4i0Myp4Q0SX5hTl1d3fXr1589e0a74QAADGBo9ud/JuR/Cy0GQ+MW1qfx 8fG+vr4bN25cunTp/PnzZ86cqa+vP3v2bFNTU2tra3d394MHD6anp2k3EwCA JQzN/vzPhPxvocVgaNwCAACAUTA0+/8JI2j307rA0LgFAAAAo2Bo9qedRvVF u5/WBTsdtNsCAAAApmL3MtrNAVg1jFsAAID1BrM/sAjjFgAAYL3B7A8swrgF AABYbzD7A4swbgEAANYbzP7AIoxbAACA9QazP7AI4xYAAGC9wewPLMK4BQAA WG8w+wOLMG4BAADWG8z+wCKMWwAAgPUGsz+wCOMWAABgvcHsDyzCuAUAAFhv MPsDizBuAQAA1hvM/sAijFsAAID1BrM/sAjjFgAAYL3B7A8swrgFAABYbzD7 A4swbgEAANYbzP7AIoxbAACA9QazP7AI4xYAAGC9wewPLMK4BQAAWG8w+wOL MG4BAADWG8z+wCKMWwAAgPUGsz+wCOMWAABgvcHsDyzi27jlW3ssCfrWFNCr poO+NR30rSmw1atstRaAw7dxy7f2WBL0rSmgV00HfWs66FtTYKtX2WotAGct 49YUY950ryO0lpVtmm7LrGzTdFtGa9EDptsyK9s03ZbRWgBTQ2rl2zZNt2VW tmm6LbOyTdNtGa1FD5huy6xs03RbRmsBTA2plW/bNN2WWdmm6bbMyjZNt2W0 Fj1gui2zsk3TbRmtBTA1Ox0GrGuK9hh9m6bbMlqLHkAPmG7LrGzTdFtGa9ED xt2y3cuMsk0Ac8KxVr5t03RbZmWbptsyK9s03ZbRWvSA6bbMyjZNt2W0FsDU 7AAAAGD9oR1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAIANExMTFRUViYmJaWlpZ86cGR8fX3GVzs7O7OxsmUymUChu3rxp hkayaLUdq1KpLl68mJOTEx8fn5WVRVZ5/vy5eZrKFgNGrBZZOCUlJS8vz3TN Y9pqX9pk0DY3N8vlcrIK+benp8cMjWSRAe+Zra2t3LtBbm5uW1ubqVvIuqqq qtjYWPLmsOKSmL8A2EUmcU9PT90bc/j6+j5+/HiZVcrLyxfcy4NECLM1mBWr 7djJycnAwMAFHevn5/fkyRNzNpv/DBixushURVbx8vIyaSMZtdqX9tjYWGRk 5IJVSktLzdZgVqy2Y8m+AAmrC1YhNaTebG1my6VLl7heWvENE/MXANOSkpLI yzY4OLinp+fGjRsikYj8GBISstTy/f39Dg4O9vb2lZWV9+/fLysr4174165d M2ez+W+1HZucnEwWcHNzKyws7O7uJh27b98+UkNSgTmbzX+r7VhdjY2N3HBF an2VAS9tbtCSnYimpqbOzs6jR49yq/T29pqz5TxnQMfW19eTBcgqRUVF5N2A /Eu2QGpqa2vN2XImqNXqhoYGJycnfVIr5i8Apt28eZO8YAUCwejoKFdD/sO9 Pd69e3fRVQ4dOkQezc3N1dbI5XJSExMTY4YGs2K1HTs3N+fo6Egera6u1laS JMC9o+rzmdc6YcCI1Xr06JGzszNS61JW+9J+/Pgxmf3JAl1dXdpKbicCh1t1 GfCeGRsbSxaQyWTammPHjpGaI0eOmLatrBkaGuK6V2v51Ir5C4BpZBeevGDJ O6RuJffJVH5+/qvLz87OcvPUvXv3tJVkj5U7LDA1NWXyFjNitR378OHDgIAA d3d3bRgjZmZmcORqgdV2rJZSqQwNDSWLcYcHkVoXMOClrVAoyKMpKSm6lf39 /Z2dnTitRcuw90wSosgC6enp2pqCggJSEx4ebvIWM4X7uJ/s8tfV1XF7r8uM PcxfAKzj3hvJC1+3sqKiglRGR0e/uvzdu3e5F7hardat594u7ty5Y9rmsmO1 Hbuo69evc71N3mxN0EYmGdyxJSUl3OkW3BhGal3AgJc2d6rGhQsXBgcHSWY4 fvx4VVUV+b+5mswGw94za2tryaOurq63bt3iNsKdL4QzMBeor68nA487rZ37 uGqZ1Ir5C4B1UqmUvFobGhp0K8mPS50o2NnZyZ3GtqCe+3YMTg3SWm3Hvmpy cjIgIODV44rrnGEdS6Z+MlWRDEBmtHv37iG1vsqAlzb3YWt2djY36XNIcjh3 7pxZmswGw94zp6en09LSuC4l45b7D+nwsbEx0zeZVSsea8X8BcC6oKAg8mpt amrSrWxpaSGVIpHo1eWvXLlCHjp48OCCei5ftba2mrCtTFltxy5A5qzw8HCy sIuLy9OnT03WTPYY0LGkM319fckCFy9eJD8itS7KgJe2j4+P9iTh2tpaEla5 czBIeOjv7zdLqxlg2Hvms2fPuFNbdcnl8rm5OdM3mVUrplbMXwCs42aZCxcu 6FZyXwIi8eDV5bnPrMlstaCevA+QevKeYMK2MmW1HauLTFhcNnN0dOzs7DRl M9ljQMemp6eTR48dO8b9iNS6KANe2qQPuSOBZMRyNUqlkjtspXtC5jpn2Htm VFSU3YtLupF3gPHxcfKvn58fqTl8+LDpm8yqFVMr5i8A1nFXqqmpqdGtrK6u tlvigkv9/f3cPLWgnvsMq7u724RtZcpqO1ZrcHDQ29ub62T056tW27HcZ4J2 Ly7O0PQCd4Kri4sL+f/Vq1fN1XC+M+Clze1BZGdn61aSH0kleciEbWWKAR07 OTkpEAjs7e11D1mTdwYulel+YRN0rZhaMX8BsC4nJ4e8WgsKCnQruS+rLvhq MIfs9XMZQPf7Qdqvug8NDZm8xYxYbcdy+vr6uENVJLg+ePDA9M1kz2o7ljvl dSlisdhcDec7A17a3B7EgtTa3NyMjtVlQMe2t7eTh/bt27egnrsLyYIPGkBr xdSK+QuAddyc7u/vr1vJfRRVV1e36CpcrGppadHWcPOUu7u7advKFAM6tr+/ 383NjfukW/uRKyyw2o69fft27su4rOXo6Ej+X1lZaa6GM2C1L23uylcLDqty h7IzMzNN21amrLZje3p67F6cHqwbrlQqFXdKBsm0Jm8xm1ZMrRrMXwCMm56e 5j4c0X695fz58+RHDw8P7b3dOzs7L1++rL2gDXd9PIlEMjk5qdG5D2lZWRmV p8BPq+1YtVrNfTteKBSSBZQvo/Y0+Eefjh0ZGSEdu9TkjvNal7LiS3tBx5If uWsNVVVVcTVkMHN/HRwP1LXajiWDfO/evWSBtLQ07TWauMu7kWCGMwSWsmhq xfwFYGGKi4vtXlzCLvoF7iLMZPdTuwB3IEt7hUySDbiJydvbOykpiTsJUyQS IVwtsKqObW1tXeaDbO6ajcBZsWO5gyekftHVkVqXsuJL+9WOLSws5IZocHBw YmIil7Xi4uJUKhWlJ8FHBnTs2bNnuY4l7xKpqancKcTE6dOnKT0JBiyaWjF/ AVgYsi9PXtHamzg7OjoqFArdBbirgpw6dUpbQ/Zbyb6qNlORfVVc6OZVq+pY 7e2wF3X79m1KT4KPVuzYS5cucfWLrs7dCufVq9+AZqWX9qId29DQ4O7uzi1P 8kBycjJuivEqAzqWVHKnBHA8PT3Pnz9v9oazhLtf88jIiG4l5i8Ai6RSqQYG BsiLd3p6Ws9VyE5rb2/v8PDwgvuMgC4DOhb0gY41HQNe2o8fP37w4AEOsS7P gI4lGYysgos2Gx3mLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAS/L/Aft3Ra8= "], {{0, 361.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 361.}, PlotRange->{{0, 457.}, {0, 361.}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.763964988890016*^9, {3.763965020773604*^9, 3.763965104295244*^9}, 3.763967238998452*^9, 3.763975670830269*^9, 3.7639774200245943`*^9, { 3.763983975181163*^9, 3.763983977287115*^9}}, CellLabel->"Out[28]=", CellID->36143470] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[TextData[{ "Possible Issues", "\[NonBreakingSpace]", Cell["(3)", "ExampleCount"], "\[NonBreakingSpace]" }], "Subsection", TaggingRules->{}, CellChangeTimes->{{3.854625305886286*^9, 3.854625307640833*^9}}, CellID->406987949], Cell[TextData[{ "Normally, ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Plot", "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/Plot"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], " localizes variables:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.76396739550745*^9, 3.7639674125080237`*^9}, { 3.7652980133889437`*^9, 3.7652980133889437`*^9}}, CellID->686427500], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"x", "=", "1"}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"x", ",", SuperscriptBox["x", "2"]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "Pi"}], "}"}]}], "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.763967413852426*^9, 3.7639674284214716`*^9}}, CellLabel->"In[16]:=", CellID->873969999], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJxFxX0slHEcAPDH3cWdre3YObMbQtiwqbVWtzuRCbHEtd6oTg/qnLoXrCLN Kp1G6TzJvHapOaxRJq4k3bJbx2SWizgiIZX3uM4drvrD9/fHZx83XMxLImEY duif/5Pf2vZ82y3dt7nnj3aOy/3DgZubnvsnDhJ8eJIhMLYQYngoNOddNZEN f+IT3pXEPZh3wWmohFDAhUunmoqJZzBHE2EbnKaGJZlRZ5skWvjiy6QCkkcv rJs+SKvBdXCevwFrOfkZlvpqH6irh2FTQkrDiGgMxt8ci5afG4cTFnVq9e0J +M4OlVgpm4JJatWenMxp2M4nsme05Cccrgh+skDMwI7z3aHZqjm47H2rFTl5 AeY677dsS1yEfcfoE9fSl+D6WntBc+pvOOvL6T5f2TIs5e6NfFi0ApsUIfgv uQHulZTFX378B2aHuW+MVBnhzgPs2qCKVbi6sZQ9/tQEO3j4Cc/UmeGPVtQb Tm1rcDM1TdnbuQ77OdCFuGYDni8wMHb1W2CP3Fx/sRAL2nw8Vj8U/B0dPtm3 2iyygq+kJgmYs+iolvII5iUSPLcmzCIb0FUD11+I0siwSRAQn2FGO68Xxkkz KfBUWH4XlbIF7vDqDnTJRwupSoobzRpWPdoe0FGI7uFwNTw7G9goLD8SX4DW RiuObmVSYZzNrakpQifPflgZLkZLqvgh9qXobNrNr1mV6IrBThZPie7POC5f U6EjWlMzYvToGBFFKxtBn3AvZraNos/nvWrymkDnxGJz5hl0u+kurtxAaxpc G/UYDe7GGy10Mlrfpau4aoM2lrEGouloS1S9p8webU0OTH/NQDNScDsvJzTL dZkfx0K7991qkDujfXId1zWu6J2cukizG/ovRrQyMQ== "]]}, Annotation[#, "Charting`Private`Tag$43987#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVlPs/0/sfwN1iI98jueTI9VMUnTqK3L3eOaL0iCiTW2olmhNt3Y5L9Q1D wtlcyq0MzSVtjdgwStoKocVaueUShaNQKpb4nu8Pz8fzH3g+nkbESO8QORkZ mVv/8n/LP1LuemdFdnq/n3fTNv6zw8bJh/b6mZ5gfqRkjm1630nK2XaiNyMY NCiZ2qamL5yqvsGrNexQ8JcmJExTR5zGNcIWuBmRcPxvqdk7kxmnVJ1WVTb/ LHR1Fg8QCAtOpZsCC2XYF6ElqVelhyoLzdazvx9kxABJ0bfkfq8S9LkmtDAz rsDQaJvlY5NfQGq22iy25SrQ/6MzHM9dC0nbJRQmPx5y+p4V7yKsAw07Br+r hgpUH/JoLkUPinaRFBZYScB6lOL5lGoEW/da7jcquwbKW/ynU2kbgH9gOdud cR36ZkqfMXpN4VVwhumtjL9BfKnOlmOyDap2bLV5J6TBSonThE+2BVy0zhy4 2EKHzpoh72juDlCAoI1F/Ey40Tu4yppgA+3OLW1WdVlA+2jn8UJsB3RX04j2 mmxwZUms0imOoO8xx/3CugmftEPmHlF3wZgXISD5bg4EL6od8pP/Ayp9+Cvr y3KB9XugYiLNBWyCqHtcGfkwxBD55fa6gfefOn05GYWQn2TRWGbiCatt4NEN NwYsqkx3nqYdgNl68poRIQM0VtJDvLK9gNskqT3fUgTq7/9IPc89CH8IGcu3 +SXgxDvFsyAcBhO3ngOTtndggNAwnkP3A+W2VSU76u5AeFEfv03sD6IOkltr DRM8rVOCkylBECS2pM2xygB74N3SSD0GiBA6ar+lHO6x6xduOBNhw5tcy8S7 5cC6gpMnyB+Hqf7lN7+WVcDa4qDMONoJuPiu1ciFUQnnJ8aLs3tDgf458MGN jPuQGRNxqcQkEtI08xyaVTnw6lCBe6ruGeiuohpYeXNAa8iJoVZ6BgKmAsf1 +zlgt7+x/NtjMkQEqJA/T1cBnpaz1UbzHGQ5hiXnqtVAy32JKn1zFPT2Hgz/ j08NbJFmWIVJokD/AnjE59ZAB2+16TVqNJSxtTROG9dCZapNaPlUDDQYCAuR JRc+F5ADA0WXYUjWmPfBtw46Ki1VOxPiYMNt1bzAgjrgkJY/JX6MgzC7xdiX w3Xw27vS2hDfePhMETnzT9XDkkzWHH1rAiiMXe5Kj2n4t6+3GHOKCmZP+8et ChuhNM+aws29BvZCd2Xns81gqy71b5mkgZq49IV1ZjPwZ25aNJjTYWxULvu3 B82w+Pg01yKCDukyfAOdL81Q4/K4vXCeDqP25lazlMeg/URJ/y+lTEiuVjl6 m9ICKSXqkTq7s0FS2FErJQvA6osBX98wDyrZm2Jm6QKIC2s8vJqSB/9tSkDv qwSQ1k27EyXIg839Ds9fzglgIGHEtYeUD7FarOFyshBOEY25cU0FgKWlqfiS n8JOWWPoji6EM9Eexx6caYVnJ1N/5t4tBvcIh3IcrRVG17u5Z/cVA0Y0mwm6 3woT2+y/dCqXgGSv4iXcp1bg/fnC73t4CTjqPMwJCm8D4q7yKDOLO6Bc95tI 6WQ7jBF0FdSfMYH5dTUEBnTAre1KLu8NK+DypJRaFd0BZokftdMOV8DhwYkO xbwOuLNTdQ+ZVgGrhQL/qjcdEMBeaJyTuQuUrNgLioRO6F64stg9dhfQjmkW 50AXzC56NmnV3YPTdSHpcpgIIiRSnpcr598/eBnKWopAnjfvVhnGgdleh+oV FxFsl+uf23SdA+d+rJUsnRTBoTd/ZtJEHIh2atH7flcE5fFM1TVBVZAo0Gf9 s/0lFEtIbyWx1cAQvX4udu6GwdO7586/rgHxxF58GVEMxGN2A7KL9TCTu2l3 PEUMKrI1j2KMGkB5n9LV4DgxnJBr0tB0bwDEEixoF4vBxOzS2tL8Bqgkw0Ty iBimVLnHdyE+xEktn5GOvoI4E2XPoL8bYdtqQ+rWIxIYyLf3Mtv9CFK2fZPh +r2B8ucjV1OTWoBs3prdzByAkHlWVjizDaTHw9mDEcPge2Gexh8WAbGJcIB2 chTqsN7NhM2v4PicuLk5eQxSCuZ5FP8+SP2dF1ma+B7WHmwf5HKHQK6ZZ50Q PQGbhG9D8utHYY3Zvq6hnCl4tfOKvKvue9hT6FwymzEN4qmbb57FT4L2TIfr Fd4neOl87q1Z7EfIe9YgK39qFgg903Y88Sw46O1aMTwxB9J1G/k2Hz6D+bDa 2KVzn8HjfOTJ8L1fgVWuHlZL+QLtBsiGWfIdYt8G9ZgnzgNV9zu7+6AUyA42 +25nfYUVR9mleN2fIC10If5D+wZmJ+5NlPWsgOhM3tGLxd8h7vz+84JzssjW zXh5sGgB3lYoCFe+yqG23bblqGAROjwFPw2uKCBmVa7taKUU9lYwBqfsFJEm toV0pOIHpFyOe+w5qYS6ZXFxOo1LELfT3/NyJx7V4s6Witp+gsGS+UJLgwra oqlGIgqXob7uqUrfDVU0k/5NY4dkBRKLTAUF935BWFLStkiSDFK+sPd48Ws1 NOrf3+f8QQZNpDp6ZfWvQXvGexZrI2TRsfXYY7Ssjv6ihIRpfZRFR6qfC5M1 NZAHN99d64Icihpp4+js10Sflkix8t/k0CkfLN7jLy1U9PpqTcRZeZS8QZMX ytRG0jDHo1E/5NEXI0IdZ34d0vtJDyBHK6CbKYIwgdWv6L3b9Xacwio0w9Ve l5Oni56YdID+9VVIj7571aSsHiLhShWM8IpI96uFnKGfPuIxNjg+oSsiAx9T MU5igLrsHYTea5RQqqNH4CzDEC2Q8g8eTVdCucetZzFfI9R6oNBHVQuHqp3b t2NGxoho61BWloVDGoy1quwRY3TqY+fXgRs4NIQ3Z6uPG6MzRcEu6rk4pFft duvihDG6go8fib2FQwtNtBDnGWNU0Num612KQ/pPjt3uXzJGkihf2hIPh7bF r3DWr8OQewMlyqsfh0L7Nvv3emDIK0KhNXEQh2rVJ/lu3hg6bHxDq3EIhy5e Y4VzfTAUmlL/wGQMh/y2u9ZmBWIowV/m049pHEojc2cPkTD0UJpGLF3GoQZm Bm6MiiEh26CqXwaP3IVMd99rGOogVq2oyeORB/awrz0VQ/3t4oIYJTx6kLc8 Vp2JoYU83dcH1PDo04WHRYlFGFrxYG1MVMcjg5QfB5fuYEhRHs7xNfBI0O94 iFKOIY1w4hoTHTwi2XU7Bd/HkK7BfHCALh6Fu23YLKnGkHEPlU3Tw6PhjJhj +7kYMkvS/ik0wKPn6998ENRjyMK+Yt8PIzzaNG7b6NCEof8BIlynsQ== "]]}, Annotation[#, "Charting`Private`Tag$43987#2"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange-> NCache[{{0, Pi}, {0., 9.869603998248365}}, {{0, 3.141592653589793}, {0., 9.869603998248365}}], PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", TaggingRules->{}, CellChangeTimes->{3.763967429584366*^9, 3.7639756743608637`*^9, 3.763977432809409*^9, 3.7645006075973816`*^9}, CellLabel->"Out[17]=", CellID->462444042] }, Open ]], Cell[TextData[{ Cell[BoxData[ FormBox["CheckboxLegended", TraditionalForm]]], " evaluates the plotting data before ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Plot", "SymbolsRefLink", ShowStringCharacters->True, FontFamily->"Source Sans Pro"], BaseStyle->Dynamic[ FEPrivate`If[ CurrentValue["MouseOver"], { "Link", FontColor -> RGBColor[0.8549, 0.39608, 0.1451]}, {"Link"}]], ButtonData->"paclet:ref/Plot", ContentPadding->False], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], ", thereby undoing the localization:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7639674552368064`*^9, 3.763967511387637*^9}, { 3.7652980240810127`*^9, 3.7652980240810127`*^9}, {3.8546253367906837`*^9, 3.8546253367907343`*^9}}, CellID->472227131], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"x", "=", "1"}], ";"}], "\[IndentingNewLine]", RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{ RowBox[{"HoldForm", "[", "x", "]"}], "\[Rule]", "x"}], ",", RowBox[{ RowBox[{"HoldForm", "[", SuperscriptBox["x", "2"], "]"}], "\[Rule]", SuperscriptBox["x", "2"]}]}], " ", "|>"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "Pi"}], "}"}]}], "]"}], "\[IndentingNewLine]", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.763967413852426*^9, 3.763967446844185*^9}}, CellLabel->"In[18]:=", CellID->47859977], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt3Q+cjWX+//EZQzVDkZAiJLU9UlQb7RaFlaytYS3rb2x9I2Wz9W1rlqGs 0AiRP62yqYy27ZvlkaH6RUSD8WcxlL9lDDPDyPz/P3Nm7t/nzJW7e86/OXPO mHM5Xs/H9fBwrnNd132d+76Mt9t97vvGJ/4ycGy9kJCQF66QXwY+HtXzf//3 8Yl/aCIvBk944emnJox58rcT/jrmqTH/+6snwqTy69CQkAXyG/vvDQAAAAAA AAAAAAAAgNozduzYQE8BAAAAqMZYi0DPBQAAAHCNsAoAAAD9kVoBAACgP1Ir AAAA9EdqBQAAgP5IrQAAANAfqRUAAAD6I7UCAABAf6RWAAAA6I/UCgAAAP2R WgEAAOC/LVu2xMTEPPPMM9OnT//888+rbV9aWrp8+fIXXnghOjp63bp1RUVF ntuTWgEAAOAPyZ8DBgwIqapnz57Z2dnuukhG7dSpk7V9t27dPLQ3SK0AAADw z0svvSSxs0WLFtHR0du3b585c2br1q2l5rHHHnPXJSoqSiXVbdu2bd68+Z57 7pGXEn09bIXUCgAAAJ9VVFQ0b95cMufSpUvNyv/85z9Sc9lll5WWljp3+fbb b8PCwsLDw3NyclRNdnZ2o0aN6tWrl5SU5G5DpFYAAAD4LDU19bbbbmvZsqX1 //dtNtvll18uwfWHH35w7jJ79mx5a9iwYdbKkSNHSuXMmTPdbYjUCgAAgNq1 b98+iaDh4eFlZWXO7w4fPlzenTdvnrVywYIFzlHWitQKAACAWlRaWvrAAw9I BB06dKjLBn379pV3Y2NjrZUrVqyQyt69e7sbltQKAACA2mKz2YYNGyb5s1mz ZmfPnnXZpnv37tJgzZo11sp169ZJ5X333eduZFIrAAAAakVBQcGjjz4q4bNR o0bx8fHumj300EPS5tNPP7VWrl69WioffPBBd71IrQAAAPDfuXPnunbtqs6y JiQkeGg5evRoafbee+9ZK999912pjIyMdNdrrBu1NX8AAAAEPXUnAYmdHTp0 OHbsmOfGEydOlJYxMTHWytdee00qn376aXe9CKgAAADwh0TW9u3bS+a8//77 z507V2372NhYady9e3drpfSVyvfff99dL1IrAAAA/DFo0CAJnL/+9a8LCwtd NsjKyoqPj9+xY4d6WVxcfO2114aGhm7evFnVbNq0SV62bt3afO6AM1IrAAAA fCZxNKRSWFhYMycHDx6UNnFxcdKgSZMmZq9Zs2ZJTURExFOVwsPD5aU087Ah UisAAAB8Nnfu3BD39u/fL23Wrl0rv2/atKm145w5cxo2bKiaSXydMWOG5w2R WgEAABAQ5eXlhw4dSkxMLCgoqLYxqRUAAAD6I7UCAABAf6RWAAAA6I/UCgAA AP2RWgEAAKA/UisAAAD0R2oFAACA/kitAAAA0B+pFQAAAPojtQIAAEB/pFYA AADoj9QKAAAA/Y21CPRcAAAAANcIqwAAANAfqRUAAAD6I7UCAABAf6RWAAAA 6I/UCgAAAP2RWgEAAKA/UisAAAD0R2oFAACA/kitAAAA0B+pFQAAAPojtQIA AEB/pFYAAADoj9QKAAAA/ZFaAQAAoD9SKwAAAPRHagUAAID+SK0AAADQH6kV AAAA+iO1AgAAQH9jLQI9FwAAAMA1wioAAAD0R2oFAACA/kitAAAA0B+pFQAA APojtQIAAEB/pFYAAADoj9QKAAAA/ZFaAQAAoD9SKwAAAPRHagUAAID+SK0A AADQH6kVAAAA+iO1AgAAQH+kVgAAAOiP1AoAAAD9kVoBAACgP1IrAAAA9Edq BQAAgP5IrQAAANDfWItAzwUAAABwjbAKAAAA/ZFaAQAAoD9SKwAAAPRHagUA AID+SK0AAADQH6kVAAAA+iO1AgAAQH+kVgAAAOiP1AoAAAD9kVoBAACgP1Ir AAAA9EdqBQAAgP5IrQAAANAfqRUAAAD6I7UCAABAf6RWAAAA6I/UCgAAAP2R WgEAAKA/UisAAAD0N9Yi0HMBAAAAXCOsAgAAQH+kVgAAAOiP1AoAAAD9kVoB AACgP1IrAAAA9EdqBQAAgP5IrQAAANAfqRUAAAD6I7UCAACgtuTm5o4fP/7j jz/23KygoOBDV9LT0911IbUCAACgVlRUVERGRoaEhEyYMMFzy6+//jrElQ0b NrjrQmoFAACA/7Kzs0eNGqXCZ7Wpdf78+dLs3nvvfa6qY8eOuetCagUAAICf 4uLiWrVqZZ4yrTa1jh49WprFxsZ6vwlSKwAAAPzUuHFjSaG9evWaOHGiN6m1 c+fO0uzgwYPeb4LUCgAAAD/16dNn5cqVFRUVCxcurDa1lpSUNGjQoGHDhqtW rRozZkxkZGRUVNTOnTs9b4LUCgAAgNriTWrdu3ev8/ewwsLCZsyY4aEXqRUA AAC1xZvUumzZMmkTGho6adKkPXv27Nu3TxKpqtm4caO7XqRWAAAA1BZvUuuJ EydiY2M/++wza+XQoUOlY2RkpLteY92otakDAADgkuFNanVJQqx0bN++vbsG BFQAAADUFm9Sq81mO3PmTH5+vrUyPj5eOrZp08ZdL1IrAAAAaos3qVU9P2vc uHHWSvXcgT59+rjrRWoFAABAbXGZWrOysuLj43fs2KFevvHGG9LmiiuuSElJ UTXJycktWrSQyhUrVrgbmdQKAACA2uIytcbFxUllkyZN1MuCgoKOHTtKTURE xIgRI5599tmrr75aXvbt27eiosLdyKRWAAAA1JbFixdL/nzuueeslWvXrpXK pk2bmjUpKSlDhgwJDQ1VN2u96qqrXnzxRZvN5mFkUisAAAACIj8/PzEx8ciR Ix5OsZpIrQAAANAfqRUAAAD6I7UCAABAf6RWAAAA6I/UCgAAAP2RWgEAAKA/ UisAAAD0R2oFAACA/kitAAAA0B+pFQAA+KwCQS3Q66sKUisAAPCBGWzKz7Mh KJgHVLfsSmoFAAA1Yg2rEnJKS0tLKhWfV4SLkHn41NGUw2omWE2yK6kVAAB4 z4ysZWVlknAKCgqys7PPnTt39uzZM+edPn06DReVMxZyKDMyMuSwysGVQywH WpPgOtYisDMBAACaU9HFZrOVlJTk5eVJtpG8mpubKy8DHmlQW+T4SliVwyoH Vw6xHGg5vlIZ8OBKWAUAAN5Qp1hVpMnOzv7xxx8lzAR6Uriw5BDLgZbDLQdd XTAQwOBKagUAANUyz7JKesnIyMjMzAz0jFB35HDLQVfBNYBnXEmtAACgWupE a0lJSVZWFpH1EiQHXQ69LIAAnm4ltQIAAM/Mr1/l5eWdPXs20NNBYMihlwVg fjmr7idAagUAAJ6pawOKiookt5SWlgZ6OggMOfTp6emyDNR1AnU/AVIrAADw QF3HWFZWlpuby4nWS5wsAFkGshgCcnUrqRUAAHigLg8oLS3NyMjIyckJ9HQQ SLIAZBnIYgjIRQKkVgAA4IF5ecDp06eLi4v9HM3/EUzvvPPOokWLEhISamtA VEsOnyyDQF0kQGoFAAAemKk1NTW1vLzchxGOHDkSHR3929/+tkWLFqGhoTff fPPQoUPffPNNP2/3esUVV4SEhPz1r3/1ZxDUiCwAWQakVgAAoCF1UWtBQcHJ kyd96B4XF9e4ceMQV7p27Xrq1CmfJ1aXqfW9997729/+9sYbb9TBtjQny0AW g7q0tY43TWoFAAAemKn1xIkTNe37wQcfhIaGqoz6m9/8ZtKkSQsXLhw/fvyN N96oKps3b56RkeHbxOoytfbu3Vu21aFDhzrYluZkGZBaAQCAhszUmpSUVKOO Npvt+uuvl7B3+eWX//vf/7a+lZ+fP3LkSBVcFy1a5NvESK0BIcuA1AoAADSk UqvkzJqm1u+//17l0v79+zu/m5eXd/XVV6vrBJzfLS8vT05O3rFjx4kTJyT9 uhzfc2rNzc1NTEzct29fdna253nKtlJSUnbu3Onhvl7+p1b5vLt27ar21mHm ZI4cOVJYWFi7I1e7S70hy0AWA6kVAADoRqVWiUY//PBDjTr+97//Van1xRdf dNkgISFh9erVX375pbVStvX3v/+9efPm5uWv11xzTXR0tNQ7dHeXWiXC9enT x3oBbc+ePV3eakDC27Rp01q2bGm2bNOmzYgRI6wJsH379mFhYWaDsEodO3b0 /NllBNXy7bffXrduXZcuXerXr69GaNWqlcOZZ/ODv/LKK9bJNGjQYPDgwUeP HvV/ZC93qTdkGagnZJFaAQCAVnxOraWlpeHh4ZKRJPidPn3ay17jxo1z+dUt 58TiMrUeOnSoSZMmzt2l8uDBgw4jyJgutyXZde/evapN69atnRvcfPPNnj+F fF7V8rHHHouIiHAeYenSpQ5d/ud//sflZNq2bZuamurPyN7vUm+QWgEAgJ58 Tq3CPOcp0eutt96q9n+x586dq9rfd999H3744eHDhz/66CP5vaqcPXu2tbFz apXxJSGHVJ6lfOWVV7Zv356QkDB16lR1NvLGG2+0TmDatGlq2E6dOi1ZskTi 7ieffGJebXvbbbepZidPnjx27NivfvUrqZQEe6xStbc+MLNlSOWJzbfffvtQ pUmTJqkzt82bNy8oKDDbT5kyRTW+5557JHbKB1+7du2TTz6pKjt37mw+36Gm I9dol3qD1AoAAPTkT2pNTU295ZZbzJQl6bFLly4TJkz49NNPS0tLHRqfOXOm Xr16Kkbm5uaa9dnZ2ZIhVRa1PqTAObWOHz9ebej999+3jvzOO++o+pdfflnV pKWlqZrrr79etmttPHr0aPXWxo0bzcqaXtdqZsvw8PAdO3ZY3xozZox6a/fu 3Q6Tadeu3blz56yNn376afXWrFmzfBi5prvUG6RWAACgJ39Sq1EZXIcMGaIS plWzZs0kvv74449my7Vr16q3vvnmG4dBJOWqt3bu3GlWOqfWe+65J6TyFlvO 07jrrrvkrX79+jkMKL9xaJmVlfXKK69Ivt2yZYtZ6XNq/e1vf+vw1ldffaXe Mq9BXbNmjar54osvHBqXlJSo+zAMHjzYh5Fruku9QWoFAAB68jO1KhIF3377 7UceecT6nSDRsWNH85LXqVOnqsrVq1f/v6qWLl2q3vrHP/5hjumQWiXgqTZ3 3333/3PSqlUreevaa69VjSdPnqwae3m3WJ9TqwRgh7eOHj2q3jIvQJWErGpk LzkP9bvf/S6k8vIGH0au6S71RmBTq6mONw0AAPRXK6nVKjExccqUKY0aNVKp qUePHqr+0UcfDanOU089ZY7jkFrNWxZ4pkJy3759Qyq/dO/lnH1OrYsXL3Z4 Kzk52SFb9uvXL6TyWgWXQ0VFRVkDdo1Gruku9QbnWgEAgJ5qPbUqx48fv+aa ayQ1XXbZZUVFRcb5JCm6uKLqp02bZo7gkFoTEhLMJOaye5s2beQ3KrU+8sgj UtOyZUsvZ1sHqdVdhPYntdZ0l3qD1AoAAPTkc2rNyclJS0tz+K6TVXR0tMpU 27dvN1/Wr19fhdhqOaTWwsJCda+AyZMnV9vX/K/z9PR0b7Z1QVOreQMBl1cI qIDtfIWANyPXdJd6g9QKAAD05HNqVd9/DwsLc/dQraeeekqlrP3798vL1atX W0NstZy/jdW5c2epefjhh6vtu27dOrWtlStXOrxVUFCwYMGC+fPnJyYmmpUq tbZt29abiRk1zJbmF6Nq9G0sb0au6S71BqkVAADoyefUGh8fryLT6NGjnR8h KqOpKwQiIiLU/UVPnTql2ltvT6p8/vnnt1aSGGZWOqdW80b9Dne+kvn3799f upu3F0hPTw8NDQ2p/H6W9R7+wrxL6vr1681K9Z/4Ii0tzZvPXqNsKRNQNe3a tXP4dpiHO195M3JNd6k3SK0AAEBP/lzXat6s9c4771y5cuXhw4fz8/P37t37 5ptvXnXVVeqtv/zlL2b7iRMnqspf/epXkjxli/v373/11VcbNmwoldIlOzvb bOycWk+cOHHdddep/xOfPHny5s2bpUbi2f3336+GNe/XKmJiYlTlHXfcsWTJ kmPHjklL846vEvOsH+SZZ55R9QMGDPjiiy+ksecPXqNsaVjuadClS5d33333 6NGjMhnz0V2dOnVyfsqAlyPXaJd6g9QKAAD0ZKbW48eP17SvxNTbb789xD1J g9bHDci2zKdTOZCMaj35abh5ouuePXuuvPJKlyP069evpKTE2tjMog6uv/76 Xbt2WVtu3LjR2sD7J7p6mS3FE0884XIybdq0cflEVy9HrtEu9YYsA1IrAADQ kEqtBQUFPqRWo/Iy0TFjxjRt2tSal0JDQzt06PDOO+84t5cQO3HixGbNmpmN 69evP3jw4G+//dahpTpbGBUV5VC/devWXr16WTfXtm1byXgOkVXYbLZp06a1 bNnSbNmiRYuBAweat5C1+vjjjx944AHV7JZbbvH8qc+ePataLlmyxOGtlJQU 9dayZcus9bKTp0yZIhOwfvA//OEPR44c8XNk73epN2QZ5Ofnk1oBAIBuzNR6 4sQJf8Y5efLkmjVrJFBt2bLF4RpLZ5InZXO7d+/+/vvvZes+bC47OzuxUmZm ZrXbSk5Olm1J6qt22Nzc3IyMjJo+BdV75mQOHjwo4bB2R/ZzlypJSUmyGEit AABAN7WVWhEcZBmQWgEAgIYknNhstsLCwlOnTvlzjg5BoLy8/OTJk7IYZEmQ WgEAgFbM1JqSkqJuUYVLVlFRkfzjhdQKAAA0pFJrcXHxmTNnzp07F+jpIJBk AcgykMVAagUAALqRcFJeXl5SUpKZmXnq1KlATweBJAtAloEsBlkSpFYAAKAb 85atJ06cqMUn2uPiUlxcnJSUFKibtRqkVgAAUB2VWiWvpqen+3bXVgQBOfSy AGQZkFoBAIC2ysvLS0tL8/LykpOTuU7gEiQHXQ69LABZBrIYAjIHUisAAKiW +Z2szMzM77//3psb8iNopKamykGXQx+o72EpYy0CMgEAAHBRUNcJFBYWZmRk HD9+/PDhw3l5eYGeFC4sOcRyoOVwy0GXQx+oawMUwioAAPCSGVwzMzNPnjy5 f/9+iTRpaWn5+fmB+l9j1Do5lHJA5bDKwZVDnJycLIc74JHVILUCAICakEij LhXIy8s7e/asRBrJNnv27Nm5c2dCQsLWrVvjK32Di4o6anL45CDKoZQDKodV Dq4cYjnQ6sKAgP/DhNQKAABqRF3jWlJSUlRUJJEmKyvrxx9/PHPmTFql1NTU FFyE5MCpIyiHUg6oHFY5uHKI5UAH8FpWK1IrAADwga1SWVmZpJri4mKJNwXn 5eMiZB4+OZRyQOWwysFVRznQa+0npFYAAOAzdcEAglLALwlwQGoFAACA/kit AAAA0B+pFQAAAPojtQIAAEB/pFYAAADoj9QKAAAA/ZFaAQAAoD9SKwAAAPRH agUAAID+SK0AAADQH6kVAAAA+iO1AgAAQH+kVgAAAOiP1AoAAAD9jbUI9FwA AAAA1wirAAAA0B+pFQAAAPojtQIAAEB/pFYAAADoj9QKAAAA/ZFaAQAAoD9S KwAAAPRHagUAAID+SK0AAADQH6kVAABcUioqfC+oVm5u7vjx4z/++ONqW5aW li5fvvyFF16Ijo5et25dUVGR5/akVgAAcIkww2f5+WIrr76Yjcmu1aqoqIiM jAwJCZkwYYLnlpJRO3XqFGLRrVu37OxsD11IrQAAIOhZ86oE0VKbUVJZisvs pchNUe+qltJFJViyqzuSOUeNGqUiaLWpNSoqSiXVbdu2bd68+Z577pGXAwYM 8NCF1AoAAIKbmVfLKvOqxNGCUiOvxMgpNrKLjKzKklloZFiKvFT10kCaSWPp Ih2le5klu8IUFxfXqlUr88Sp59T67bffhoWFhYeH5+TkqBpJvI0aNapXr15S UpK7XqRWAAAQxMzIqvLqqRxj5majX6xxxyLj1je9LdL4dyuM17+xd1fZleDq oHHjxhJWe/XqNXHixGpT6+zZs6XNsGHDrJUjR46UypkzZ7rrRWoFAABBzIys haXGqu+MX75l/GK+7+Xut+yDyFBmcIXSp0+flStXVlRULFy4sNrUOnz4cGkz b948a+WCBQuco6wVqRUAAAQrdTq0rNx+glTSpsTOW/wuMogMJQPKsJxudeZN au3bt6+0iY2NtVauWLFCKnv37u2uF6kVAAAEq4rK716V2IwTWcadi42b59VO kaGSsuzD2spJrY68Sa3du3eXNmvWrLFWrlu3Tirvu+8+d71IrQAAICiZJ1oL So0Zm40O82qzTNtkH5bTrc68Sa0PPfSQtPn000+tlatXr5bKBx980Ln96eRD RxM3SmqVXykUCoVCoQRHST1+oHZDyMVLXdFaYjNyi40+Hxg3veFL6f+h8dkR 48AZI3p9lfqH3rcPW8LVrU68Sa2jR4+WNu+995618t1335XKyMhI5/bbPnw6 +Z8dxrohb1EoFAqFQrnoyvYPRtZuCLl4qcsDisrsd7K6Zb5x41xfiuRV06Mr fq6/eZ59WBmciwQceJNa1X0GYmJirJWvvfaaVD799NPO7c3UGvA/XxQKhUKh UGqrkFpNZmo9m2+0m+NLidlSZcARn1R5V4YltTrzJrXGxsZKm+7du1sr77// fql8//33ndtv+9ezPyy9VVKr/EqhUCgUCiU4yrblj9dyCrlomRe1pucbbWbX uHR7x/6IAVNytmMDGda8tNXZ66+/fm+l9evXW+u3bdum6nv16lVSUnKB90EA uEytWVlZ8fHxO3bsUC+Li4uvvfba0NDQzZs3q5pNmzbJy9atW5vPHXDGt7EA AEBQMlPr6VzjhtdrXL45UWW0YR87NpBhPaTWPXv2SAxTDy01K9PT09UDpOSt VatWXeAdEBguU2tcXJxUNmnSxKyZNWuW1ERERDxVKTw8XF5KMw8jk1oBAEBQ Uqk1v8RIyzVazapZeemLKkMtTnDRRoaVwd2lVjFgwAD1eNNvvvlGXtpsth49 eqia6dOnX/gdEBiLFy+WD/jcc89ZK9euXSuVTZs2tVbOmTOnYcOGaodIfJ0x Y4bnkUmtAAAgKJmpNTXHuC6mBuXW+VWuDTiRZa9xbibD5nlMrYmJiep0a//+ /eXliy++qBLa8OHD62QHXATKy8sPHTokO6qgoKDaxqRWAAAQlFRqlWCZkmO0 fK1K+cU8448f2X91qFdlzaEq40hLl81SqkutYtCgQRJT69WrFxMToyJr165d i4qK3HaAe6RWAADgm2Vx++u41Gh61tTaYubP5ZY37KdPRVaR8dCyKm9JebLq 1aYLtjs2MIs3qfXAgQMSWUPOa9WqVVpamg+7GgapFQAA+GrU39fVcanR9Kyp tdmMn8u0jT+3keD6m3d/fqvD3J8CrSK/lxprX2vxJrWKwYMHm5du7t69u0Yf AVakVgAA4JuLKLU2nf5zeb7qMPvSjPZzfnpr/rYqb/3+wyodHYo3qTUnJ6dj x44qtbp8Vim8R2oFAAC+uViuEEjNMZq8WqVsOl6l5d40e+WAFVUq52117OVQ qv02VllZWd++fUMsEhISavQRYEVqBQAAQcmaWhtPq1Lavm5Pqlbv/bdKTVKm vY1DL4dSbWodN26cCqvdunULCwuT3/Tp0+cCfuBgR2oFAABByXzKgMTLK//u WG6YZb+o1Z3IWBddHIoM6+EpA3PnzlWR9c477ywoKBgyZIj13q3wAakVAAAE JeuzsRpOdVG6ve06uM6Nd93eoXh4Ntbq1avVrQOaN2+enJwsNbt371aptWfP nhf+owcnUisAAAhKEiZt5UZhqXEmz4iY6rqM/D/HXsczjetj3La3FhlWBrc5 pdZdu3ZFRERIQG3QoMGWLVvM+n79+qngunHjRsetwgukVgAAEJTM1Jqeb1w1 zbjiFddl/Joqvfp94LaltTSdbh/WObXm5ORcd911Kp0uWbLEOvL27dtV/cMP P1wnOyDYkFoBAEBQUqm1uMzIKDTuWGBc/rLbEv2lkVloL8+s8dTMWmRAGVYG dz7XiguE1AoAAIKShMnyCqPEZmQXGRPWGg2m1GYZH2cfVgaXTZBa68ZYi0DP BQAAoDZJniy1GfklRuJp+72q6k+unSJDyYAyrAxOZK0zhFUAABCs1EUCRZUX CSxOMOpPMcIm+1tkEBlKBizi8oC6RWoFAABBrPz86dbTufbHXTWaatSL9r1I 9/nb7EOpE63lRNY6RGoFAABBTJ1uLbEZucX2tLn9pPH4SqP9bKPBZCN0krcl /GXjlrnGk6uMHafsg+SV2AfkRGsdI7UCAIDgZgbX/BLjXIGRkmMcPWccOGPs SzN2pxg7T/1UdliKWfnfVHszaSxdpKN0zyeyBgipFQAABD0VXEtt9otR80rs V6Wezbc/JiAt1/5g1hQ3Rd6SBtJMGmcW2jtK91Iia4CQWgEAwCVC0qbKrsVl 9iIRtKDUXvJLXBT1lpSisp/aq7wqBQFBagUAAJeU8oqfwmdNC9+9CixSKwAA APRHagUAAID+SK0AAADQH6kVAAAA+iO1AgAAQH+kVgAAAOiP1AoAAAD9kVoB AACgP1IrAAAA9EdqBQAAgP5IrQAAANAfqRUAAAD6G2sR6LkAAAAArhFWAQAA oD9SKwAAAPRHagUAAID+SK0AAADQH6kVAAAA+iO1AgAAQH+kVgAAAOiP1AoA AC4pFRW+FwQQqRUAAFwizPBZfr7YyqsvZmOya2CRWgEAQNCz5lUJoqU2o6Sy FJfZS5Gbot5VLaWLSrAXIrvGx8cvWbJk3rx569atKyoqqs2hgwipFQAABDcz r5ZV5lWJowWlRl6JkVNsZBcZWZUls9DIsBR5qeqlgTSTxtJFOkr3Mkt29V9G RsYDDzwQYtG+fftdu3bVwtBBh9QKAACCmBlZVV49lWPM3Gz0izXuWGTc+qa3 RRr/boXx+jf27iq71lZwHTRokCTV+++//1//+teGDRuGDRsmL9u1a1dQUFAb nz6okFoBAEAQMyNrYamx6jvjl28Zv5jve7n7LfsgMpQZXP2Rl5dXv379sLCw tLS087Ot6NChgwTXr7/+uhY+fHAhtQIAgGClToeWldtPkEralNh5i99FBpGh ZEAZ1s/TrSdOnBg1atQLL7xgrVRnX//973/7++GDDqkVAAAEq4rK716V2IwT Wcadi42b59VOkaGSsuzD2spr+WtZ2dnZ4eHhkloPHz5cm+MGBVIrAAAISuaJ 1oJSY8Zmo8O82izTNtmH9f90q4PHH39cIuujjz5aayMGEVIrAAAISuqK1hKb kVts9PnAuOkNX0r/D43PjhgHzhjR66vUP/S+fdiS2ri6VSkvL//zn/8skfW6 664zL3OFFakVAAAEJXV5QFGZ/U5Wt8w3bpzrS5G8anp0xc/1N8+zDyuD18pF AkVFRQMHDpTI2rp1a64NcIfUCgAAgpKZWs/mG+3m+FJitlQZcMQnVd6VYWsl tebm5j744IMSWe+4445Tp075NVZQG2sR6LkAAADUGvOi1vR8o83sGpdu79gf MWBKznZsIMOal7Y6e/311++ttH79emv9tm3bVH2vXr1KSkoyMjK6dOkikbVP nz45OTkXeJdc3AirAAAgKJmp9XSuccPrNS7fnKgy2rCPHRvIsB5S6549e0JD QyWOduvWzaxMT09v1aqVVMpbq1atkpqhQ4fKy4EDB5aVlV3Y3XHxI7UCAICg pFJrfomRlmu0mlWz8tIXVYZanOCijQwrg7tLrWLAgAHqIa3ffPONvLTZbD16 9FA106dPl5otW7aol506dfp1VXFxcRd8B11sSK0AACAomak1Nce4LqYG5db5 Va4NOJFlr3FuJsPmeUytiYmJ6nRr//795eWLL76oMurw4cNVg5dffjnEjbff fvuC76CLDakVAAAEJZVaJVim5BgtX6tSfjHP+ONH9l8d6lVZc6jKONLSZbOU 6lKrcf5BV/Xq1YuJiVFxtGvXrkVFRW47wD1SKwAA8E3GN9F1XGo0PWtqbTHz 53LLG/bTpyKryHhoWZW3pDy5qsogC7Y7NjCLN6n1wIEDElnNM6itWrXiXqw+ I7UCAADfJP+zQx2XGk3Pmlqbzfi5TNv4cxsJrr959+e3Osz9KdAq8nupsfa1 Fm9Sqxg8eLCKrBEREbt3767RR4AVqRUAAPjmIkqtTaf/XJ5fV6XZvjSj/Zyf 3pq/rcpbv/+wSkeH4k1qzcnJ6dixo0qtDz74YI3mDwekVgAA4JuL5QqB1Byj yatVyqbjVVruTbNXDlhRpXLeVsdeDqXab2OVlZX17dvX+h2rhISEGn0EWJFa AQBAULKm1sbTqpS2r9uTqtV7/61Sk5Rpb+PQy6FUm1rHjRunwmq3bt3CwsLU owQu4AcOdqRWAAAQlMynDEi8vPLvjuWGWfaLWt2JjHXRxaHIsB6eMjB37lwV We+8886CgoIhQ4ZY790KH5BaAQBAULI+G6vhVBel29uug+vceNftHYqHZ2Ot Xr1a3TqgefPmycnJUrN7926VWnv27HnhP3pwIrUCAICgJGHSVm4Ulhpn8oyI qa7LyP9z7HU807g+xm17a5FhZXCbU2rdtWtXRESEBNQGDRps2bLFrO/Xr58K rhs3bnTcKrxAagUAAEHJTK3p+cZV04wrXnFdxq+p0qvfB25bWkvT6fZhnVNr Tk7Oddddp9LpkiVLrCNv375d1T/88MN1sgOCDakVAAAEJZVai8uMjELjjgXG 5S+7LdFfGpmF9vLMGk/NrEUGlGFlcOdzrbhASK0AACAoSZgsrzBKbEZ2kTFh rdFgSm2W8XH2YWVw2QSptW6QWgEAQLCSPFlqM/JLjMTT9ntV1Z9cO0WGkgFl WBmcyFpnSK0AACBYqYsEiiovElicYNSfYoRN9rfIIDKUDFjE5QF1a6xFoOcC AABQy8rPn249nWt/3FWjqUa9aN+LdJ+/zT6UOtFaTmStQ4RVAAAQxNTp1hKb kVtsT5vbTxqPrzTazzYaTDZCJ3lbwl82bplrPLnK2HHKPkheiX1ATrTWMVIr AAAIbmZwzS8xzhUYKTnG0XPGgTPGvjRjd4qx89RPZYelmJX/TbU3k8bSRTpK 93wia4CQWgEAQNBTwbXUZr8YNa/EflXq2Xz7YwLScu0PZk1xU+QtaSDNpHFm ob2jdC8lsgYIqRUAAFwiJG2q7FpcZi8SQQtK7SW/xEVRb0kpKvupvcqrUhAQ pFYAAHBJKa/4KXzWtPDdq8AitQIAAEB/pFYAAADoj9QKAAAA/ZFaAQAAoD9S KwAAAPRHagUAAID/vvvuuxkzZowfP37JkiVHjhzx3LigoOBDV9LT0911IbUC AADAT8uXLw8LCws5r0GDBh999JGH9l9//XWIKxs2bHDXhdQKAAAAf6SlpTVp 0kSS6sKFCw8cODBr1ixJsPXq1duzZ4+7LvPnz5eMeu+99z5X1bFjx9x1IbUC AADAH0OHDpUIOmnSJLNm8uTJUvPEE0+46zJ69GhpEBsb6/1WSK0AAADwWXl5 +ZVXXikR9PDhw2blsWPHpCYiIsJms7ns1blzZ2lw8OBB7zdEagUAAIDPjh49 KvmzcePGDvVNmzaVepdfyyopKWnQoEHDhg1XrVo1ZsyYyMjIqKionTt3et4Q qRUAAAA+S0hIkHR60003OdR36NBB6uPj45277N271/l7WGFhYTNmzPCwIVIr AAAAfPbVV19J5rz77rsd6rt06SL1X375pXOXZcuWyVuhoaGTJk3as2fPvn37 JJGqmo0bN7rbEKkVAAAAPtu6dasEzrvuusuhXl25umnTJucuJ06ciI2N/eyz z6yV6itdkZGR7jY01o3a+BAAAAAIcklJSZI227Zt61B/ww03SL2Hm185kBAr 7du3b++uAQEVAAAAPisuLpa02bBhw/LycrPSZrNFRERIvctnXcm7Z86cyc/P t1bGx8dL+zZt2rjbEKkVAAAA/rjpppskcH711Vdmzfr166WmXbt2LttHRkbK u+PGjbNWqucO9OnTx91WSK0AAADwx7x58yRw9u3bt7S0VF7KrxI+pWbu3Lmq QVZWVnx8/I4dO9TLN954Q9694oorUlJSVE1ycnKLFi2kcsWKFe62QmoFAACA P/Ly8lTm7NKlS1RUlLp7QNeuXc1rBuLi4qSmSZMm6mVBQUHHjh3VYwhGjBjx 7LPPXn311Sr3VlRUuNsKqRUAAAB+SkpKuvfee82br0pktT5fYO3atVLZtGlT syYlJWXIkCGhoaGq/VVXXfXiiy+6e5CWQmoFAABArcjMzNy1a9fJkye9bJ+f n5+YmCj51sMpVhOpFQAAAPojtQIAAEB/pFYAAADoj9QKAAAA/ZFaAQAAoD9S KwAAAPRHagUAAID+SK0AAADQH6kVAAAA+iO1AgAAQH+kVgAAAOiP1AoAAAD9 kVoBAACgv7EWgZ4LAAAA4BphFQAAAPojtQIAAEB/pFYAAADoj9QKAAAA/ZFa AQAAoD9SKwAAAPRHagUAAID+SK0AAADQH6kVAAAA+iO1AgAAQH+kVgAAAOiP 1AoAAAD9kVoBAACgP1IrAAAA9EdqBQAAgP5IrQAAANAfqRUAAAD6I7UCAABA f6RWAAAA6G+sRaDnAgAAALhGWAUAAID+SK0AAADQH6kVAAAA+iO1AgAAQH+k VgAAAOiP1AoAAAD9kVoBAACgP1IrAAAA9EdqBQAAgP5IrQAAANAfqRUAAAD6 I7UCAABAf6RWAAAA6I/UCgAAAP2RWgEAAKA/UisAAAD0R2oFAACA/sZaBHou AAAAgGuEVQAAAOiP1AoAAAD9kVoBAACgP1IrAAAA9EdqBQAAgP5IrQAAANAf qRUAAAD6I7UCAABAf6RWAAAA6I/UCgAAAP2RWgEAAKA/UisAAAD0R2oFAACA /kitAAAA0B+pFQAAAPojtQIAAEB/pFYAAADoj9QKAAAA/ZFaAQAAoL+xFoGe CwAAAOAaYRUAAAD6I7UCAABAf6RWAAAA6I/UCgAAAP2RWgEAAKA/UisAAAD0 R2oFAACA/kitAAAA0B+pFQAAAPojtQIAAEB/pFYAAADoj9QKAAAA/ZFa/cHe 8wd7zx/sPX+w9/zHPvQHew/wDX92/MHe8wd7zx/sPX+w9/zHPvQHew/wjT9/ dvz/c3fxbt3/EZg/82f+l+bW/R+B+TP/wM4fCJSL908uPzeYP/MP1Nb9H+FS 3rr/IzB/5k9qxaXp4v2Ty88N5s/8A7V1/0e4lLfu/wjMn/mTWnFpunj/5PJz g/kz/0Bt3f8RLuWt+z8C82f+pFZcmi7eP7n83GD+zD9QW/d/hEt56/6PwPyZ P6kVwWQsAACAG4HOKYAvWLoAAADQH6kVAAAA+iO1AgAAQH+kVgAAAOiP1AoA AAD9kVoBAACgP1IrAAAA9EdqBQAAgP5IrQAAANAfqdWd7777bsaMGePHj1+y ZMmRI0eqbb99+/YPnWzYsKEOpqqzTz755MknnywsLKy2ZWlp6fLly1944YXo 6Oh169YVFRXVwfQ0l5ubKyvw448/rrYly88qKytr6dKlL7300vPPP/+Pf/wj LS2t2i4sP6stW7bExMQ888wz06dP//zzz6ttz/KzyszMXLx48YQJE2bOnLl5 8+aysrJqu7D8AC+RWl2SHyBhYWEh5zVo0OCjjz7y3KVHjx4hTrp161Y3E9bT 1q1bL7vsMtkP8mPcc0v5Kd2pUyeHXZednV0389RTRUVFZGSk7Ar566/axiw/ 02effXbNNddY98OVV165YsUKD11YfiaJTwMGDHBYSD179vS8N1h+pk2bNjVt 2tS6H/r27Zufn++hC8sP8B6p1VlaWlqTJk0kqS5cuPDAgQOzZs2SBFuvXr09 e/Z46CVd5KfNX/7yl+csFi1aVGfT1s0XX3zRokUL9UO42tQaFRWlflZv27Zt 8+bN99xzj7yUvz3rZqoakr+zRo0apfaeN6mV5aekpqZeffXVKip88skna9eu HTRokLy8/PLLv/vuO3e9WH6ml156ST67/MmNjo7evn37zJkzW7duLTWPPfaY h14sPyUjI6NZs2ayK/7whz9s2LDhww8/VHF0xIgRHnqx/ADvkVqdDR06VH5o TJo0yayZPHmy1DzxxBPuuiQlJUmDm266qU4mqDvJqH/605+spw48p9Zvv/1W /l0QHh6ek5OjaiSzNWrUSP6lIDu2Lmasmbi4uFatWpl7r9rUyvIzyb80ZVfc cMMNFRUVZuUdd9whlVOnTnXZheVnkp3WvHlz2VdLly41K//zn/9IzWWXXVZa WuqyF8vP9M4778iukJxv7qstW7ZITePGjd1dJ8DyA2qE1OqgvLz8yiuvlJ8z hw8fNiuPHTsmNRERETabzWWv1atXS4M//vGPdTVNrc2bN0/trn/+85/q/2o9 p9bZs2dLm2HDhlkrR44cKZUzZ868wJPVkfwdJ5+9V69eEydO9Ca1svxMU6ZM kcj68ssvWytfffVVD2cLWX6m1NTU2267rWXLltb/npYfepdffrnsjR9++MFl L5afKT4+Pioqyno5WXFxcWgldz8DWX5AjZBaHRw9elT909ihXl2q5O5rWa+8 8oq8+/zzz0+dOnXgwIGjR49etGiR/Ly68PPV0bJly5599tmUlBT5vTepdfjw 4dJGsq61csGCBc4/zC8Rffr0WblyZUVFhTpzWG1qZfl5pi7UnDFjhst3WX6e 7du3T3ZFeHi4u7OFLD935I/w9OnTZed07drVXRuWH1AjpFYHCQkJLv+3q0OH DlIv/5R22at///7OX0a47bbbjh8/fuGnrDVvUmvfvn2lTWxsrLVyxYoVUtm7 d+8LPEGteZlaWX4efP7557I36tevf+DAAZcNWH4elJaWPvDAA7Irhg4d6q4N y8/Z2bNnR44cqS7sb9269a5du9y1ZPkBNUJqdfDVV1/Jj4u7777bob5Lly5S /+WXX7rs1aZNG3n39ttvX7Vq1ffff//JJ5+omh49elivr7sEeZNau3fvLm3W rFljrVy3bp1U3nfffRd4glrzMrWy/NzZsWNHo0aNZFc4XDNgxfJzx2azDRs2 TPZDs2bNJIa5a8byc/b111+bAf6uu+5y9y8mg+UH1NBYi0DPRQtbt25VP2cc 6jt37iz1mzZtctnrs88+e+uttzIyMswa+TFVv3596eL5zgNBz5vU+tBDD0mb Tz/91FqpLpZ78MEHL+z89OZlamX5uSS7RUXWQYMGebhnJsvPpYKCgkcffVR2 guxDd//HpLD8nMneS05Olr8vRowYoU71u9sVLD+gRgirDtT3Ydu2betQf8MN N9T0h3DXrl2ly/Lly2tzfhcbb1Lr6NGjpc17771nrXz33XelMjIy8sLOT29e plaXLvHlt2zZMhWcHn/8cc+3eWf5OTt37pxaP82aNUtISPBhhEt8+VmpXTF5 8mSX77L8gBohtTooLi6WHxcNGzYsLy83K202W0REhNSnp6e77JWXl+f8/J3e vXtLF/nb8wJOV3vepFb1TfmYmBhr5WuvvSaVTz/99AWeoNa8TK0sPwfz5s0L DQ0NcX+3KyuWnwN1JwH5+B06dDh27Fi17Vl+JtkViYmJDg8IeOutt0LcfyGL 5QfATzfddJP8xPjqq6/MmvXr10tNu3btXLbfs2dPSOXzs06ePGlWlpSUXHvt tVK/bdu2Cz5jjXmTWmNjY6VN9+7drZX333+/VL7//vsXeIJa8ya1svwcSABQ O8TLE30sPyuJrO3bt5fPLnvg3Llz1bZn+Vn9/ve/l089Z84ca6W8lMpHHnnE ZReWHwA/qduN9u3bV90pWn7t06eP1MydO9dsI/+gjo+PP336tFF5JlY9jufP f/6z2eBvf/ub1Nx6663ePIQ6iLlMrVlZWbL3duzYoV4WFxfL33GhoaGbN29W NZs2bZKXrVu3Nu+8fWlyl1pZfu7s27cvLCxMFs+qVavctWH5eaAeJfbrX/+6 sLDQXRuWnzuLFi0KqXzIhRn4T506pQL8m2++qWpYfgBqV15enrpjSZcuXaKi otTdA7p27Wq9ZuCXv/ylVM6fP1+9lH8Uq6+L3n777S+99FLPnj1DKu9wuGHD hgB9CF24TK1xcXFS2aRJE7Nm1qxZIZUPJniqkuw6eSnN6ny+enGXWll+7qj/ mFYXZDr405/+pNqw/NyRNKX2niR/5x148OBB1Yzl545E0Lvvvlt9hW3UqFHy J1dF+vvuu88M8Cw/ALUuKSnp3nvvDTlPIqvD8wXUo6IXLFhg1sTGxl5//fWq vfxLuXPnznv37q3ziWtHPSDS4UKvtWvXSmXTpk2tlXPmzGnYsKHagfID3N09 4S8pixcvlr3x3HPPOdSz/NxRD7ZzaeDAgaoNy8+duXPnutt7Yv/+/aoZy8+D M2fOjBgxQl1WHVJ57YT8+c3LyzMbsPwAXCCZmZm7du2yXq/lWUVFRXJy8u7d u/mfHd+Ul5cfOnQoMTGxoKAg0HO5+LD8/MTy8wfLz0piqvzd8e2336rLzLzB 8gMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA8f8B i+erOA== "], {{0, 224.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 224.}, PlotRange->{{0, 457.}, {0, 224.}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.7639674507986145`*^9, {3.763975687423935*^9, 3.763975690727104*^9}, 3.7639774361116085`*^9, 3.7639840144386816`*^9, 3.7645006096134353`*^9}, CellLabel->"Out[19]=", CellID->372917488] }, Open ]], Cell[TextData[{ "Use ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Block", "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/Block"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], " to circumvent this issue:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.763967516115995*^9, 3.7639675290763435`*^9}, { 3.7639675604790773`*^9, 3.7639675621240253`*^9}, {3.765298029061511*^9, 3.765298029061511*^9}}, CellID->514132483], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"x", "=", "1"}], ";"}], "\[IndentingNewLine]", RowBox[{"Block", "[", RowBox[{ RowBox[{"{", "x", "}"}], ",", RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{ RowBox[{"HoldForm", "[", "x", "]"}], "\[Rule]", "x"}], ",", RowBox[{ RowBox[{"HoldForm", "[", SuperscriptBox["x", "2"], "]"}], "\[Rule]", SuperscriptBox["x", "2"]}]}], " ", "|>"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "Pi"}], "}"}]}], "]"}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.7639675362920513`*^9, 3.7639675404050503`*^9}}, CellLabel->"In[20]:=", CellID->268625635], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzs3Qd8FGX+x3GKnifeeV7Rs9yp5wEqWDhP0Ds5650Fz3KWs91ZELF7/u0K ilIUUERAlGIIvffeS0hIQkIgoaVAks0mm7q72V5n9v+Ewclm0zYhyWQ3n/fr efkiz848+e3O3vl1eOZ5/jDwfw8N7tKpU6e3fyr+8dBz79/21lvPffjwOeKH R994++UX33hh0D1vvPPCiy+8dePArqIzvnOnThPFH6r+HAAAAAAAAAAAAAAA AGiuwYMHa10CAAAA0AhSKwAAANo/UisAAADaP1IrAAAA2j9SKwAAANo/UisA AADaP1IrAAAAWo/Van311VcXLVpU+6XDhw+PGjVKvDplypSsrKyGxyG1AgAA oJXIsnz//fd36tTpjTfeCHlp9uzZXbtW7QCrOP300xcsWNDAUKRWAAAAtIbK ysqnn35aCaUhqdVgMJxzzjkiqU6aNOngwYNjxowRCbZLly5paWn1jUZqBQAA QItbs2bNRRddpN5KDUmtjz/+uOj86KOP1J6hQ4eKnoEDB9Y3IKkVAAAALe4X v/iFSKG33377hx9+GJJaJUn6+c9/LjozMzPVzpycHNHTrVs3v99f54CkVgAA ALS4O++8c+nSpbIsT5o0KSS1Zmdnix4Ra0NO+dWvfiX663ssi9QKAACA1lM7 tSYlJYmeP/7xjyFHdu/eXfTHx8fXOQ6pFQAAAK2ndmrdtm2b6LnuuutCjuzb t6/o37x5c53jkFoBAADQemqn1oSEBNHzpz/9KeTIa6+9VvTv2LGjznEG16P1 KgcAAEDHUTu15uXliZ5LLrkk5Mjf//73or++xa8IqAAAAGg9tVOr2+0WPWed dZYkSWqn3+/v1q2b6C8tLa1zHFIrAAAAWk/t1Cr88Y9/FJ3btm1Te7Zs2SJ6 Lr300vrGIbUCAACg9dSZWsePHy867777bq/XK34U/7zzzjtFz7hx4+obh9QK AACA1lNnarXZbOedd57o79u37/vvv6+sHtCvX7/gOQMhSK0AAEQrd2ma5LZo XQU6usmTJ4tE+uabb4b05+Xl3XDDDeqWryKy1re/gILUCgBAVPIYswpm9Sla cpfPWqB1LUC9TCZTSkpKQUHj31JSKwAA0cfvKC1c8DfdD91FK5x/k+RzaV0R cKpIrQAARBnJ6yhe8YASWUWzZS7WuiKgBZBaAQCIJrLkL9s0WI2s5pSvtK4I aBmkVgAAookx4VM1spZvf1OWZa0rAloGqRUAgKhhyYhRI2vJmsdkv1vrioAW Q2oFACA6OPI26n7ooUTWosV/97vNWlcEtCRSKwAAUcBdmlYQ21uJrPq5/byW fK0rAloYqRUAgEgnMqpIqifnBsT2EglW64qAlkdqBQAgovldpqLFd/w4nbWH I3eD1hUBrYLUCgBA5JJ97uLVj6pPYFkyYrSuCGgtpFYAACKULMtlW19TI6tx z2daVwS0IlIrAAARypQ0So2sZZtflGVJ64qAVkRqBQAgElkPzVIja/HKhySf U+uKgNY1OIjWtQAAgLA48jZXL8266Da/s0LrioBWR1gFACCy1Fiadc713spc rSsC2gKpFQCACOKtzNPP6Vu9NGvJPq0rAtoIqRUAgEjhd1YULbqdpVnRMZFa AQCICJLXUbzyX9VLsx6M1boioE2RWgEAaP9kyVe6caAaWU2Jo7SuCGhrpFYA ANq/irgP1Mhavu0NWZa1rghoa6RWAADaOXPq12pkLVn7pOx3a10RoAFSKwAA 7Zn16Hw1shqWDZA8Vq0rArRBagUAoN1y5G/VxfRUImvhgv4+e7HWFQGaIbUC ANA+uUuqdxMomP0njylb64oALZFaAQBoh7zm4/o515+cGzCjl6t4r9YVARoj tQIA0N74HWWFC29hNwEgGKkVAIB2RfLYDCvuV5/Ash6apXVFQLtAagUAoP2Q JW/p+meqdxNIHqN1RUB7QWoFAKCdkGW5fOfb1bsJ7HiL3QQAFakVAIB2wrx3 rBpZS9c/LUterSsC2hFSKwAA7YH18Ozq3QSW3yd5bFpXBLQvpFYAADTnyN2g +6HHyd0EFt7id5RpXRHQ7pBaAQDQlsuQpJvRS4ms+jnXe83Hta4IaI8GB9G6 FgAAOhxPxeGCWX1OboAV29tdkqZ1RUA7RVgFAEArXku+fu4NJ6ezxlzu1G3T uiKg/SK1AgCgCb+zvGjR7eoTWLaspVpXBLRrpFYAANqe5LEalt+nRlZL+jSt KwLaO1IrAABtTPa7S9Y+Wb0BVtIorSsCIgCpFQCAtiTLUtnWV6s3wNr5Nhtg AeEgtQIA0JaMu4dWb4C1caAs+bSuCIgMpFYAANqMOXW8GlmLVz0i+ZxaVwRE DFIrAABtw3p4jhpZi5bc5Xebta4IiCSkVgAA2oD9+LrqPVsX9PfZDFpXBEQY UisAAK3NVZigm3HlyT1bZ//Za87RuiIg8pBaAQBoVZ7ygwWzrv1xz9ar3KXs 2Qo0B6kVAIDW463M08/tV71na8FOrSsCIhWpFQCAVuJ3lBYuvEV9Asues0Lr ioAIRmoFAKA1SO5Kw7IB1Xu2ZsRoXREQ2UitAAC0OMnrKF79SPWercljtK4I iHikVgAAWpbs95RueFaNrBVxH2hdERANSK0AALQgWZbKtr6mRtayLa/Ikl/r ooBoQGoFAKAFVcR9qEbW0vVPy3631hUBUYLUCgBASzElj1Yja/GqhyWvXeuK gOgxOIjWtQAAEMEqD3yvRlbD0rv9brPWFQFRhbAKAMCpsx6dr0bWwoW3+uwl WlcERBtSKwAAp8h+fK3uhx5KZNXPu9Fryde6IiAKkVoBADgVTv0uXcwVJyPr 7Os8xkytKwKiE6kVAIBmc5ekFsRepUTWgplXu0vStK4IiFqkVgAAmsdTcaRg 9p9OTmedcaVTH6d1RUA0I7UCANAMXku+fu4NPz6B1cORu17rioAoR2oFAKCp fPbiwoW3qIsG2DIXaV0REP1IrQAANInfZSxacpcaWS3p07SuCOgQSK0AAIRP 8lgNK+5XI6t575daVwR0FKRWAADCJHkdxasfUSOrMf5jrSsCIlhKSsro0aNf eeWVMWPGpKamNno8qRUAgHDIPnfJ+v+qkbV8x9uyLGtdFBCp3n777c6dO3f6 kfjzO++80/AppFYAABolS97STS+okbVsy8uy5Ne6KCBSLV++XCTVM8444+OP P05MTPzkk09++tOfip4lS5Y0cBapFQCAhsmyVL7tDTWylm54VvZ7tC4KiGBP P/20yKjPPPOM2jNw4EDR88QTTzRwFqkVAIAGyLJcEfeBGllL1j4h+VxaFwVE tn//+98iow4dOlTt+eqrr0TPPffc08BZpFYAABpg3DNcjazFK/8leWxaVwRE vNjYWJFRL7nkkoKCAvGjwWC44oorRM+ECRMaOIvUCgBAfcwpX6mR1bBsgN9t 1roiIBq4XK6XX35ZxNQuXbpce+21Xbt2FX/+xz/+YTY39D8xUisAAHWqPPC9 GlmLFv/d7yzXuiIgStjt9tdee61TTd9++23D63KQWgEAqM16eLYaWQsX3uyz GbSuCIgeytNYV1555Y4dO8xms/hn7969Rc/AgQMbOIvUCgBACFvWUjWy6uf9 xWvJ17oiIHp4vd6zzz77Jz/5ybFjx9ROnU531lln/fSnP3U4HPWdOLgebVI1 AADtjiN3vS6m58nIOud6jylb64qAqLJr165OnTr17t07pP/mm28W/evWravv RAIqAAAqp267LuYKJbIWzOrjKT+odUVAtDlw4IBIp+ecc44kScH9V199tejf tm1bfSeSWgEAULgKE3SxvU5G1tir3CWNb4wOoKm8Xu8vf/lLEVCHDx+udi5Y sED0nHnmmVartb4TSa0AAAiu4r0iqZ6czjqjl6swXuuKgKilZFThjjvuGDJk yL///e/OnTuLH7/77rsGziK1AgDgLkkrmHnNycgac7kjf6vWFQFRbtWqVZde eqm67NWFF14oomzDp5BaAQAdnLsso2BWnx8ja09H7nqtKwI6iuLi4pSUlKKi onAOJrUCADoyT8UR/ezrflznqoc9Z6XWFQGoG6kVANBheUzZ+jl91aVZbVlL tK4IQL1IrQCAjslrPq6fe4MaWa1H52tdEYCGkFoBAB2Q15JfOP+v1ZH10Eyt KwLQCFIrAKCj8Vn1hQv+pkZWS/p0rSsC0DhSKwCgQ/HZDYULb1Uja+X+yVpX BCAspFYAQMfhd5QWLb5Djazm1PFaVwQgXKRWAEAH4XdWFC25S42spuQxWlcE oAlIrQCAjsDvMhmWDaiOrIkjtK4IQNOQWgEAUU9yWwwr7lcjqzH+Y60rAtBk pFYAQHSTPNbilQ+pkbUi7gNZlrUuCkCTkVoBAFFM8tiKVz+qRtbyHW/LsqR1 UQCag9QKAIhWoZF12+uy5Ne6KADNRGoFAEQlyWsvXv1vNbKWbXlFlnxaFwWg +QYH0boWAABahoisJWseC4qsL8uSV+uiAJwSwioAIMpIXkfJmseDIutLRFYg CpBaAQDRpCqyrn2iOrJufpHICkQHUisAIGrUiqyDiaxA1CC1AgCig+Rzlqx9 sjqybhos+z1aFwWgxZBaAQBRICSylm56gcgKRBlSKwAg0lVF1nVPBUXWQURW IPqQWgEAEU3yuUrW/ac6sm58Xva7tS4KQMsjtQIAIldVZF3/36DIOpDICkQr UisAIEKJyFq6/unqyLrhOSIrEMVIrQCASERkBToaUisAIOJUrcsa/PjVhmdl H5EViHKkVgBAZJG89uANW4msQAdBagUARBDJYy1e/SgrBgAdEKkVABApqiLr qofZ/QromEitAICIILkri1c+WB1Zt7wsS16tiwLQdkitAID2z+8yGVbcr0bW 8m2vy5JP66IAtClSKwCgnfM7KwzL7q2OrNvflCW/1kUBaGukVgBAe+Z3lhuW 3l0dWXe+TWQFOiZSKwCg3fI7SouW3KlG1opd78uypHVRALQxOIjWtQAAUM1n Ly5afIcaWY27h8iyrHVRaJyMqKbhV4uwCgBoh3y2oqJFt1dH1oRh2v7rEuFQ g430Iz+ignpBtc2upFYAQHvjs+oLF96iRlZT4gitK0IjgsOqCDler9dzgvtH LkQg9fIpV1NcVjXBapJdSa0AgHbFa8kvXPC36sia9LnWFaERamT1+Xwi4Tgc jsrKyoqKirKyspIfFRcXGxBRSoKIS2k0GsVlFRdXXGJxoTUJrqRWAED74TUf L5x/kxpZzXu/1LoiNEKJLn6/3+Px2Gw2kW1EXrVareJHJnVEDXF9RVgVl1Vc XHGJxYUW11d0tnFwJbUCANoJj/Gofm6/6siaOl7ritAI5RarEmkqKyvLy8tF mNG6KLQucYnFhRaXW1x0ZcJAmwVXUisAoD1wl6XrZ/9ZjayVaZO0rgiNUO+y ivRiNBpNJpPWFaHtiMstLroSXNvsjiupFQCgOVfx3oJZfdTIasmI0boiNE65 0erxeMxmM5G1AxIXXVx68QVos9utpFYAgLachbsLYq9SI6v1yDytK0Lj1Mev bDZbWVmZ1uVAG+LSiy+A+nBWa/86UisAQEMO3VbdjF4nI2tMT1v2cq0rQliU uQEul0vkFq/Xq3U50Ia49KWlpeJroMwTaO1fR2oFAGjFfnydLuaKHyPrFY7c 9VpXhLAo8xh9Pp/VauVGawcnvgDiayC+DG0wu5XUCgDQhC1rqS6m58nIGtvL qduudUUIlzI9wOv1Go1Gi8WidTnQkvgCiK+B+DK0wSQBUisAoO1ZD89RJ7IW zLzaVZigdUVoAnV6QHFxsdvtPsXRTn0E1bRp07799tukpKSWGhCNEpdPfA3a ZpIAqRUA0MYs6dOqI+usPu6SVK0rQtOoqbWoqEiSpGaMkJWVNWTIkHvuuee8 887r3Llzjx49Hn/88QkTJpzicq8//elPO3Xq9M4775zKIGgS8QUQXwNSKwAg +pj3TVAjq37O9Z7yg1pXhCZTJrU6HI6CgoJmnL5mzZpf/OIXnerSr18/vV7f 7MLaMrXGxsZ+8MEHX3/9dRv8rnZOfA3El0GZ2tqqv4jUCgBoM6bkL6oj69wb PMYsrStCc6ipNT8/v6nnzpo1q3PnzkpGveOOOz766KNJkya9+uqrf/jDH5TO c88912g0Nq+wtkytf//738Xv6t69exv8rnZOfA1IrQCAqCH+dWZMGKZG1sL5 /b2VuVoXhWZSU2teXl6TTvT7/RdeeKEIe2ecccbChQuDX7Lb7f/5z3+U4Prt t982rzBSqybE14DUCgCIDrLkr9j1nhpZixbd5rM2/2+BoTkltYqc2dTUeuzY MSWXPvDAA7Vftdlsv/zlL5V5ArVflSRJp9MlJyfn5+eL9Fvn+A2nVqvVmp6e fuDAgcrKyobrFL+rsLBw7969DazrdeqpVbzflJSURpcOU4vJyspyOp0tO3Kj H2k4xNdAfBlIrQCASCf7PWVbX6uOrEvu9NmLtS4Kp0RJrSIaHT9+vEkn7tu3 T0mt7777bp0HJCUlrVixYvPmzcGd4nd99tln5557rjr99de//vWQIUNEf8jp 9aVWEeHuvPPO4Am0t912W51LDYjwNnz48PPPP1898uKLL37qqaeCE+Bll13W tWtX9YCuJ/Tu3bvh9y5GUI6cOnXqunXr+vbte9pppykjXHTRRSF3ntU3PmzY sOBiTj/99EcffTQ7O/vURw7zIw2H+BooO2SRWgEAkUvyOUs3PKtGVsPyf/qd FVoXhVPV7NTq9XrPPPNMkZFE8CsuDvc/Xl566aU6H92qnWHqTK1Hjx4955xz ap8uOo8cORIyghizzt8lsuv+/fuVY373u9/VPqBHjx4NvwvxfpUj//vf/3br 1q32CNOnTw855fnnn6+zmEsuuaSoqOhURg7/Iw1HW6ZWVav+IgBARyO5LcWr H1Eja/GqhyV3I38zi4jQ7NQqqPc8RfT67rvvGv1b7HHjxinH//Wvf503b15m ZuaCBQvEn5XOL7/8Mvjg2qlVjC8ScqcTdymHDRuWmJiYlJT06aefKncj//CH PwQXMHz4cGXYa665ZsqUKSLuLlmyRJ1t26tXL+WwgoKCnJycG2+8UXSKBJtz QqNLH6jZstOJG5tTp049esJHH32k3Lk999xzHQ6HevzHH3+sHHz99deL2Cne +Nq1awcNGqR0Xnvtter+Dk0duUkfaTi41woAiGh+Z7lh2b1qZC1d/7TkdTR+ GiLBqaTWoqKinj17qilLpMe+ffu+8cYbq1at8nq9IQeXlJR06dJFiZFWq1Xt r6ysFBlSyaLBmxTUTq2vvvqq8otmzpwZPPK0adOU/k8++UTpMRgMSs+FF14o fm/wwc8884zy0vbt1Tu4NXVeq5otzzzzzOTk5OCXXnjhBeWl1NTUkGIuvfTS iooafz3x8ssvKy+NGTOmGSM39SMNB6kVABC5fFZ90aLb1chatuVl2d9i+x9B c6eSWgMngutjjz2mJMxgv/nNb0R8LS8vV49cu3at8tLu3btDBhEpV3lp7969 amft1Hr99dd3OrHEVu0y/vSnP4mXBgwYEDKg+EPIkWazediwYSLfxsXFqZ3N Tq333HNPyEvbtm1TXlLnoK5evVrp2bhxY8jBHo9HWYfh0UcfbcbITf1Iw0Fq BQBEKK85p3D+TWpkrdj1niw1//FktEOnmFoVIgpOnTr1n//8Z/AzQULv3r3V Ka+ffvqp0rlixYpNNU2fPl156fvvv1fHDEmtIuApx1x33XWbarnooovES7/9 7W+Vg4cOHaocHOZqsc1OrSIAh7yUnZ2tvKROQBUJWekRn1Ltoe69995OJ6Y3 NGPkpn6k4SC1AgAikbssQz/nejWymhJHtva/yND2WiS1BktPT//4449/9rOf Kanp1ltvVfrvu+++To158cUX1XFCUqu6ZEHDlJB89913dzrx0H2YNTc7tU6e PDnkJZ1OF5ItBwwY0OnEXIU6h3r//feDA3aTRm7qRxoOUisAIOK4DEkFs65V I2tl2kStK0KraPHUqsjNzf31r38tUtNPfvITl8sV+DFJCn3rovQPHz5cHSEk tSYlJalJrM7TL774YvEHJbX+85//FD3nn39+mNW2QWqtL0KfSmpt6kcaDlIr ACCyOHRbdbG91MhqPTRL64rQWpqdWi0Wi8FgCHnWKdiQIUOUTJWYmKj+eNpp pykhtlEhqdXpdCprBQwdOrTRc9W/Oi8tLQ3nd7VqalUXEKhzhoASsGvPEAhn 5KZ+pOEgtQIAIog9Z4Uu5vKTkTXmcnv2Cq0rQitqdmpVnn/v2rVrfZtqvfji i0rKysjIED+uWLEiOMQ2qvbTWNdee63oueuuuxo9d926dcrvWrp0achLDodj 4sSJ33zzTXp6utqppNZLLrkknMICTcyW6oNRTXoaK5yRm/qRhoPUCgCIFNbD s9VbrLrYXo78rVpXhNbV7NQaHx+vRKZnnnmm9haiYjRlhkC3bt2U9UX1er1y fPDypIoNGzZccYKIYWpn7dSqLtQfsvKVqP+BBx4Qp6vLC5SWlnbu3LnTieez gtfwF9RVUrds2aJ2Kn+JLxgMhnDee5OypShA6bn00ktDng5rYOWrcEZu6kca DlIrACAiVKZNUiNrwaxrXUUtdgMH7dapzGtVF2vt06fP0qVLMzMz7Xb7/v37 J0yYcPbZZysv/e9//1OP//DDD5XOG2+8USRP8RszMjJGjBhx1llniU5xSmVl 9dYVtVNrfn7+BRdcoPyd+NChQ3ft2iV6RDy76aablGHV9VqF0aNHK51XX331 lClTcnJyxJHqiq8i5gW/kVdeeUXpf/DBBzdu3CgObviNNylbBoLWNOjbt29M TEx2drYoRt2665prrqm9y0CYIzfpIw0HqRUA0M6Jf0OZEkeqkVU/53p3WXrj pyHyqak1Nze3qeeKmHrVVVd1qp9Ig8HbDYjfpe5OFUJk1OCbn4F6dnRNS0v7 +c9/XucIAwYM8Hg8wQerWTTEhRdemJKSEnzk9u3bgw8If0fXMLOlMHDgwDqL ufjii+vc0TXMkZv0kYZDfA2al1rLysrmz58vrtcHH3ywePFiSZIaPp7UCgBo Blnylu94S42shfNv8pqytS4KbURJrQ6HoxmpNXBimugLL7zwq1/9Kjgvde7c uXv37tOmTat9vAixH3744W9+8xv14NNOO+3RRx89dOhQyJHK3cL3338/pD8h IeH2228P/nWXXHKJyHghkVXw+/3Dhw8///zz1SPPO++8hx56SF1CNtiiRYtu vvlm5bCePXs2/K5FQlOOnDJlSshLhYWFykszZswI7hcf8scffywKCH7jDz/8 cFZW1imOHP5HGg7xNbDb7U1Nrbt27frtb38bfFH69u0r0m8Dp5BaAQBNJXkd pRueUyNr0aLbfdZGNmFHNFFTa35+/qmMU1BQsHr1ahGo4uLiQuZY1ibypPh1 qampx44dE7+9Gb+usrIy/QSTydTo79LpdOJ3idTX6LBWq9VoNDZ1F9TwqcUc OXJEhMOWHfkUP1JFXl6e+DI0KbWWlpaeeeaZIqmK/35JTEycOHHixRdfLH58 6aWXGjiL1AoAaBK/y1S86mE1shpW3O93ljd+GqJIS6VWRAfxNWhqalUW4Lr3 3nvVUzZu3Ch6fv3rXzcwT4DUCgAIn89WVLTkTjWylqz7j+Rp6G/0EJVE0vD7 /U6nU6/Xn8o9OkQBETILCgrEl0F8JcJMreKwc845p0uXLsHzLkTnmjVr4uPj GziR1AoACJPHlF04/yY1spZve132h04LREegptbCwkJliSp0WC6XS/zHS5NS a2lpaacTazKI4/fv3z9x4sTx48eHs34sqRUAEA53Sap+9nVqZDUmDJPlRh74 RbRSUqvb7S4pKamoqNC6HGhJfAHE10B8GcJPrfv27ROp9Z577glZyuCpp54S 6beBE0mtAIBGOXXbCmJ7q5G1ct8ErSuClkQ4kSTJ4/GYTCa9ngfxOjTxBRBf A/FlEF+JMFPr6tWr1aQ6aNCghQsXfvrpp926dRM/vvfeew2cSGoFADTMlrW0 erfWH3pYj87XuiJoT12yNT8/vwV3tEdkcbvdeXl5TV2sddGiRUpkHTFihNoZ GxurLMDVwGoSpFYAQAMsB6ZU79Y6o5cjL3RXdHRMSmoVebW0tLR5q7YiCohL L74A4mvQpNSqbOzbuXPn4EnRlZWVZ5xxhuhPSkqq78TB9TjVtwEAiHAntr4a FbRbax+Xod5/m6ADkiTJ6/XabDadTsc8gQ5IXHRx6cUXQHwNGt3WKlheXp5y W9Xv9wf39+vXT/Rv3ry5vhMJqACA2kK2vtLPu9FTcVjrotC+qM9kmUymY8eO hbMgP6JGUVGRuOji0jfpOSyFSLlnn322CKipqalqpxjkt7/9bZcuXcxmc30n kloBACHq2PrKotO6KLRHyjwBp9NpNBpzc3MzMzMb3pETUUBcYnGhxeUWF11c +qZu5Kr48MMPRWq98cYb1UnRX375pbIcVgNnkVoBAMH8zorilQ/V3PqKpY1Q LzW4mkymgoKCjIwMEWkMBoPdbm/S3xqjPROXUlxQcVnFxRWXWKfTicvd7Mgq lJWVXXDBBSKmXn755W+//fbDDz8s/nzWWWelpKQ0cBapFQCg8lryixbdztZX aBIRaZSpAjabTaQREWlEtklLS9u7d29SUlJCQkL8CbsRUZSrJi6fuIjiUooL Ki6ruLjiEosLrUwMOJX/MCkpKbnnnntOO+00kVe7dOly3XXXNTCjVUFqBQAo 3GXp+rn92PoKzaDMcfV4PC6XS0Qas9lcXl4uYonhhKKiokJEIHHhlCsoLqW4 oOKyiosrLrG40E2dy1ofp9O5f//+MPeqILUCAAJV+whsL4i9So2spsQRbH2F pvKf4PP5RKpxu90i3jh+ZEcEUi+fuJTigorLKi6ucpU1+YKRWgEAtqMLdTE9 1chqyfhB64oQwZQJA4hK2s5VJrUCQAdnTh0fvI+A/fharSsCgDqQWgGgw5Il X8Wu96r3EZj9J/YRANBukVoBoGOSvPbSDc+qkbVwQX+PKVvrogCgXqRWAOiA /I4yw4r7qxdlXXavz16sdVEA0BBSKwB0NF7zscKFt9RclNWqdVEA0AhSKwB0 KO6SVP3sP1cvyrrjLRZlBRARSK0A0HE48jbqYnupkdW8d2yLrBMOAG2A1AoA HYTl4AzdDz1+jKw9rIfnaF0RADQBqRUAop4s+Y0Jw6pXuIrt7chrZL9vAGhv SK0AEN2qVrjaNEiNrPo5fd0laVoXBQBNNjiI1rUAAFqYz14SvMJV0eK/ey35 WhcFAM1BWAWAaOUxHi2c3796hau1T/jdZq2LAoBmIrUCQFRy6uMKZl3LClcA ogapFQCij/XofF3M5dUrXKWO17oiADhVpFYAiCayLJuSx6h5VRdzhS17mdZF AUALILUCQNSQfe6yra9Vr3A1+0+uokStiwKAlkFqBYDo4HdWFK96RI2shQtv 8ZpztC4KAFoMqRUAooDXfKxo0W1qZC1e+ZAIsVoXBQAtidQKAJHOVZSon32d GlnLtrwi+VxaFwUALYzUCgARzZa5SBdzhRpZTUmfy7KkdVEA0PJIrQAQoUQ6 NSWNClouoKf1yFytiwKA1kJqBYBIJHlspZsGVS8XMKuPU79L66IAoBWRWgEg 4vishYZlA9TIWrToNq8pW+uiAKB1kVoBILK4S/bp5/ZTI2vJmsf9LqPWRQFA qyO1AkAEsees0M3opUbWil3vyX6P1kUBEU+Wm9/QZkitABARZFk2p4yrfvbq hx6W9KlaFwVEPDV8Sj82v9R4Uw8mu7YlUisAtH+Sz1m25ZXqZ69mXu3I36J1 UUBkC86rIoh6/QHPieb2VTVXPU15VTlSnKIkWLJr2yC1AkA757MXG1bcX71V 64L+noojWhcFRDY1r/pO5FURRx3egM0TsLgDla6A+UQzOQPGoCZ+VPrFAeIw cbA4RZwoTvcFZVe0HlIrALRn7rKMwvl/rd6qddXDfkeZ1kUBkU2NrEpe1VsC n+8KDJgTuPrbwBUTwm3i4HvnBsburjpdya4E19ZGagWAdsuRu74gtrcaWcu3 /0/2ubUuCoh4amR1egPLDwf+/F3g8m+a3677rmoQMZQaXNFKBgfRuhYAQLXK tElBz151r0ybqHVFQDRQbof6pKobpCJtitjZ85SbGEQMJQYUw3K7tfUQVgGg vZF8zvJtr1c/exXb2358ndZFAVFCPvHslccfyDcH+kwO9BjfMk0MlWeuGtYv kVpbC6kVANqVqn2vlt+nRlb9vL+4y9K1LgqIEuqNVoc3MGpXoPv4lmzDd1QN y+3W1kNqBYD2w2VIDt73qnjlgz57sdZFAdFDmdHq8Qes7sCdswJ//Lo57YF5 gfVZgYMlgSFbavT/Y2bVsB5mt7YaUisAtBPWI/N0MVdUP3u14y2evQJaljI9 wOWrWsmq5zeBP4xrThN5VXXf3Or+HuOrhhWDM0mglZBaAUBzsuQ17h5ac9+r aVoXBUQhNbWW2QOXftWcNjquxoBPLanxqhiW1Np6SK0AoC2/s6Jk7RPVz17N 6uMs2Kl1UUB0Uie1ltoDF3/Z5NZ/WtUWAypdZegBYlh1amttY8eOveGELVtq 7G23Z88epf/222/3eDyt/BlEMFIrAGjIU3G4cMHf1MhatOQf3spcrYsCopaa Woutgd+PbXLbnV9jtCcWhR4ghm0gtaalpXXu3LlTp079+/dXO0tLSy+66CLR KV5avnx5K38AkY3UCgBasR9fVxB7lRpZSzc+L3msWhcFRDMltdo9AYM1cNGY prX3NtYYanJSHceIYcXg9aVW4cEHH+x0wu7du8WPfr//1ltvVXpGjhzZ+h9A ZCO1AkDbk2XZnDIueBMBU/IYWZa0rguIcmpqLbIELhjdhHbFNzXmBuSbq3pq HyaGtTWYWtPT05XbrQ888ID48d1331Ui65NPPtkmH0BkI7UCQBuTPLayTYNr bCJwbJXWRQEdgpJaRbAstATO/6JGu3x84N8Lqv4Z0q+01UdrjCOOrPOwwsZS q/DII4+ImNqlS5fRo0crkbVfv34ul6veE/AjUisAtCVvZV7R0rvVyFo4v7+n /KDWRQEtZsaajDZuTSovOLWe93l16/l11e1TwewK/GNGjZdEG1RztunExNAD 1BZOaj148KCIrJ1+dNFFFxkMhmZ81B0QqRUA2oxDt7VgVp/qTQRWP+p3lmtd FNCSnv5sXRu3JpUXnFp/M6q6Dd9efYwIrnfEVL/UfdzJQKsQfxY9wecGt3BS q/Doo48qkbVbt26pqalNegsdGakVANqALEvm1G+CJ7JWxH0o+1niBtEmglLr r0ZWt/+rOcwBQ+Cyr06+9M2eGi/9a16NE0NaOKnVYrH07t1bSa233HJLk+rv 4EitANDaJLeldNOg6sg640rrkblaFwW0ikiZIVBkCZwzokbbUXPNuf2Gqs4H a/4vdXxC6FkhrdGnsXw+3913390pSFJSUpPeQkdGagWAVuUxZhUtuj1oIutf 3SVpWhcFdFDBqfUXw2u0S8ZWJdVgsftq9OSZqo4JOSukNZpaX3rpJSWs9u/f v2vXruIPd955Zyu+4ehCagWA1mM/vrZg5tVqZC1Z85jfUaZ1UUDHpe4yIOLl zz8Lbb8fUzWptT73z6njlJAmhm1gl4Fx48YpkbVPnz4Oh+Oxxx4LXrsVjSK1 AkBrkCW/KfmL4ImsxoRPZcmrdV1Ahxa8N9ZZn9bR+k+tO7iOi6/7+JDWwN5Y K1asUJYOOPfcc3U6nehJTU1VUuttt93W+m89GpBaAaDF+V3GknX/CV6R1ZbN Ro2A9kSY9EsBpzdQYgt0+7Tu9p/FoWflmgIXjq73+OAmhhWD+2ul1pSUlG7d uomAevrpp8fFxan9AwYMUILr9u3bQ38raiG1AkDLcpdlFC74W/VE1oW3eMoP aV0UgCpqai21B84eHvjpsLrbq6trnDVgVr1HBrdfjawatnZqtVgsF1xwgZJO p0yZEjxyYmKi0n/XXXe1yQcQ2QYH0boWAIh4tqwlutheamQtXf+M32XSuigA Jymp1e0LGJ2BqycGzvik3jZkc8DkrGqvrG7osOAmBhTDisFr32tFiyCsAkCL kP0eY/wnwRNZzXvHypJf67oAVBNhUpIDHn+g0hV4Y23g9I9bsr26pmpYMbj4 FaTW1kBqBYBT57OXFK9+pHoi68xrHLnrtS4KQB1EnvT6A3ZPIL24aq2q04a2 TBNDiQHFsGJwImsrIbUCwClyFe3Rz+2nRtaixX/3mrK1LgpA3ZRJAq4TkwQm JwVO+zjQdeipNjGIGEoM6GJ6QGsitQJAs8myXLn/O11MTzWylm0eLHmsWtcF oCHSj7dbi61V21397NNAlyHNb+L0b/ZUDaXcaJWIrK2G1AoAzSO5K2vs0/pD j8r9k2VusgDtnnK71eMPWN1VaTOxIPDc0sBlXwZOHxro/FG47cxPAj3HBQYt DyTrqwaxeaoG5EZrqyK1AkAzVC1vtfAWNbLq5/ZzFSZoXRSAcKnB1e4JVDgC hZZAdkXgYEnggCGQWhjYqz/ZkoOa2rmvqOowcbA4RZwoTrcTWdsEqRUAmsp6 ZJ5uRvXyVsWr/+2zl2hdFICmUYKr1181GdXmqZqVWmav2ibAYK3amLWwniZe EgeIw8TBJmfVieJ0L5G1TZBaASB8ks9ZvuPt4OWtTImjZMmndV0AmkmkTSW7 un1VTURQh7eq2T11NOUl0Vy+k8creVU0tAFSKwCEyWs+blh6d/XyVrP6OHI3 aF0UgBYgySfDZ1Mbz161JVIrAITDfnxdwaxr1chqWDbAW5mndVEA0IGQWgGg YbLkNe4ZHjwroGLnu5LPpXVdABAl1q9f//bbb2dkZDR8GKkVABrgsxmKV1Vv eqWL7WU7ulDrogAgeuTl5Z199tmdOnVatGhRw0eSWgGgPk7dNv2c66s3vVp0 m6f8kNZFAUD0kCTpb3/7W6cTSK0A0Ayy5DUlfR48K6Bq0yu3Reu6ACCqfP75 551+RGoFgKbyWQuLVz1cHVljLrekT2PTKwBoWampqaeffnrPnj3vv/9+UisA NJUjb7N+9nVqZC1c8Dd3SZrWRQFAtHE4HJdffvlpp52WnJz8xBNPkFoBIHyy 32NKHBEyK8DvNmtdFwBEoZdfflkk1WHDhok/k1oBIHw+i6545YNBswKusByM 0booAIhOa9euFTG1b9++Pl/V3oKkVgAIkyN3fcGsPtWzAhbe6i5L17ooAIhO paWl5513Xrdu3TIzM5We8FNrnVq/ZADQnux3GxOG1ZgVsOUV1goAgNbz8MMP i4z60EMPbf7RLbfcIno+/PBD8WeTyVTfiQRUAB2WtzLPsPy+6sg6o5f18Gyt iwKAKPfHP/6xU/1EcK3vRFIrgI7JfmxVwaxrg3YQuJ0dBACgDYwYMeL1mrp3 7y7y6p133in+nJWVVd+JpFYAHY3ktVfsfDd4VkD5tjckj1XrugCgg+JpLACo zV2WUbTo9urIGtvLenS+1kUBQIdGagWAYLIsW9Kn6mKuqJ4VsOQuj/Go1nUB QEf35JNPitS6ePHihg8jtQLoCPyO0tL1TwfPCjDuHiL5XFrXBQAIF6kVQNRz 6rbp5/RV86p+9p8deZu0LgoA0DSkVgBRTPa5jQmfBt9iLVn7pM9u0LouAECT kVoBRCuPKduwbEDQJq2XV6Z9K8uS1nUBAJqD1AogKlmPzC2I7V1jk9bSNK2L AtBOyXLzG9oMqRVAlPG7TGWbX6yxHOv2/2M5VgB1UsOn9GPzS4039WCya1si tQKIJq6ixML5N6l5tWDmNbbs5VoXBaA9Cs6rIoh6/QHPieb2VTVXPU15VTlS nKIk2NbIrvHx8VOmTBk/fvy6detcLhY8qUJqBRAdZL/HlDxa90MPNbIWr/yX 15KvdV0A2iM1r/pO5FURRx3egM0TsLgDla6A+UQzOQPGoCZ+VPrFAeIwcbA4 RZwoTvcFZddTZzQab7755k5BLrvsspSUlBYYOsKRWgFEAY8x07Ds3uBZAea9 Y2XJq3VdANojNbIqeVVvCXy+KzBgTuDqbwNXTAi3iYPvnRsYu7vqdCW7tlRw feSRR0RSvemmm+bPn79161Zl36hLL73U4XC0xLuPYKRWABGtaserjBjdjF7V D17Nv8lVmKB1XQDaLzWyOr2B5YcDf/4ucPk3zW/XfVc1iBhKDa6nwmaznXba aV27djUYDD9WK3fv3l0E1507d7bAm49kpFYAkctnM5Sse6rGg1fbXpfclVrX BaD9Um6H+qSqG6QibYrY2fOUmxhEDCUGFMOe4u3W/Pz8p59++u233w7uVO6+ Lly48FTffIQjtQKIUPZjqwpm/6n6watZfew5K7QuCkB7J5949srjD+SbA30m B3qMb5kmhsozVw3rl1r4sazKysozzzxTpNbMzMyWHDcCkVoBRBzJXVm+/X+h O17ZirSuC0B7p95odXgDo3YFuo9vyTZ8R9Wwp367NcRzzz0nIut9993XYiNG LFIrgMjiKkwonN+/OrLO6GVJn86OVwDCocxo9fgDVnfgzlmBP37dnPbAvMD6 rMDBksCQLTX6/zGzalhPS8xuVUiS9Nprr4nIesEFF6jTXDuywUG0rgUAGiL7 3KbEkcG3WA3LBniMR7WuC0DEUKYHuHxVK1n1/Cbwh3HNaSKvqu6bW93fY3zV sGLwFpkk4HK5HnroIRFZf/e73zE3QEFYBRARPBWHDUvvDo6spqTPZb9b67oA RBI1tZbZA5d+1Zw2Oq7GgE8tqfGqGLZFUqvVar3llltEZL366qv1ev0pjRVF SK0A2jlZ8lfun6ybcWX12lYL/uYyJGldF4DIo05qLbUHLv6yya3/tKotBlS6 ytADxLDq1Nbaxo4de8MJW7ZsCe7fs2eP0n/77bd7PB6j0di3b18RWe+8806L xdLKH0kkIbUCaM+85pzilf+qsbbVjrckj1XrugBEJDW1FlsDvx/b5La75m57 TywKPUAM20BqTUtL69y5s4ij/fv3VztLS0svuugi0SleWr68agfqxx9/XPz4 0EMP+Xy+1v04Ig2pFUD7JMuSJX1a8PYB+tl/th9fq3VdACKYklrtnoDBGrho TNPaextrDDU5qY5jxLBi8PpSq/Dggw8qm7Tu3r1b/Oj3+2+99ValZ+TIkaIn Li5O+fGaa675S01r1qxp9Q+ofSO1AmiHvJV5xasfDb7FWrrpBb+jVOu6AEQ2 NbUWWQIXjG5Cu+KbGnMD8s1VPbUPE8PaGkyt6enpyu3WBx54QPz47rvvKhn1 ySefVA745JNPOtVj6tSprf4BtW+kVgDtiizL1kMzC2J7B28fYMtaqnVdAKKB klpFsCy0BM7/oka7fHzg3wuq/hnSr7TVNVcrEUfWeVhhY6k18ONGV126dBk9 erQSR/v16+dyueo9AT8itQJoP3zWgpK1T9a4xbrhWZ+dVQqBiGHcPaSNW5PK C06t531e3Xp+XXX7VDC7Av+YUeMl0QYtrzHIxMTQA9QWTmo9ePCgiKzqHdSL LrqItVjDRGoF0B5U3WI9Mq9g5jXVt1hnXmM9Ol/rugA0TfB/dbZNa1J5wan1 N6Oq2/Dt1ceI4HpHTPVL3cedDLQK8WfRE3xucAsntQqPPvqoElm7deuWmpra pLfQkZFaAWjOZysqXf90jR1a1z3ls7JEIRB5Iii1/mpkdfu/dTUOO2AIXPbV yZe+2VPjpX/Nq3FiSAsntVoslt69eyup9ZZbbmlS/R0cqRWAtmyZiwtm9am+ xRp7lfXQLLkF9/AG0IYiZYZAkSVwzogabUdujSP3G6o6H5xbo3N8QuhZIa3R p7F8Pt/dd98d/IxVUhKrT4eL1ApAKz57cenG54PvmRSv/rfXkt/4mQDQLMGp 9RfDa7RLxlYl1WCx+2r05Jmqjgk5K6Q1mlpfeuklJaz279+/a9euylYCrfiG owupFUDbk2XZdnRh8C1WXWwvS8YPsixpXRqAaKbuMiDi5c8/C22/H1M1qbU+ 98+p45SQJoZtYJeBcePGKZG1T58+DofjscceC167FY0itQJoY15Lfsm6p2rc Yl31sNd8TOu6AES/4L2xzvq0jtZ/at3BdVx83ceHtAb2xlqxYoWydMC5556r 0+lET2pqqpJab7vtttZ/69GA1AqgzVRtd5URUxB7VY1brAemyJJf69KAKOR0 e7N0xi1784or7FrX0l6IMOmXAk5voMQW6PZp3e0/i0PPyjUFLhxd7/HBTQwr BvfXSq0pKSndunUTAfX000+Pi4tT+wcMGKAE1+3bt4f+VtRCagXQNjym7OKV D9VYKGDNY97K3MbPBBCeMpMj9Wjx8p3ZExalvj1h+9OfrVPa1r1MFz9JTa2l 9sDZwwM/HVZ3e3V1jbMGzKr3yOD2q5FVw9ZOrRaL5YILLlDS6ZQpU4JHTkxM VPrvuuuuNvkAIhupFUBrkyVv5b4JuhlX1liL9fAcFgoAToXH688tMu/Yp5u9 /tDI2D2Dv9ikxtSQNmNNhtbFthdKanX7AkZn4OqJgTM+qbcN2RwwOavaK6sb Oiy4iQHFsGLw2vda0SJIrQBalbss3bDsnprbXT3nsxVpXRcQecxWV3pO2Zrd xyYvTXt/8s5nhtedUYObOOaDybuW78jSuvb2QoRJSQ54/IFKV+CNtYHTP27J 9uqaqmHF4OJXkFpbA6kVQCuRfC5T8he6mJ5qXtXP/rMte3njZwIIBHx+qaDE Ep9eOH/TkdGzk179ckujGVW0F0dvGhW7Z/b6QzvTCnKLKj0+Jo2HEnnS6w/Y PYH04qq1qk4b2jJNDCUGFMOKwYmsrYTUCqA1uAxJRYtuD77FWrb1Nb+zXOu6 gPbL5vQczq3YmJg7beWBoVPinhuxPpyY+s7EHRMWpa7Ymb3vaEm52an1m4gA yiQB14lJApOTAqd9HOg69FSbGEQMJQZ0MT2gNQ0OonUtAKKB5LEadw8Nzqv6 eTc68jZpXRfQvkiyXFxhSz5sWLItc9z8lDfHbwsnow4ateHT6fEz1mRs3Zuf pTM63T6t30dEkn683Vpsrdru6mefBroMaX4Tp3+zp2oo5UarRGRtNYRVAC3I kbexcP5NwZG1Ytf7krtS67oA7bk8vuwC09aU/Ng1GZ/9kDDo843hxNT/fb31 q3l7RbJNOmQwlNsk7uK1BOV2q8cfsLqr0mZiQeC5pYHLvgycPjTQ+aNw25mf BHqOCwxaHkjWVw1i81QNyI3WVkVqBdAifDZD2abBwXm1cOEtzkI2fEHHVVHp TMssWbkre+Life9M3BFORn1uxPohU+KmrjiwITH3cG65zeHR+k1ELTW42j2B Ckeg0BLIrggcLAkcMARSCwN79SdbclBTO/cVVR0mDhaniBPF6XYia5sgtQI4 RbLktxyMKZh5TVBk7WHcM1zyOrQuDWg7Xp8/z1C5a3/BnA2HRs1MfGl0vetQ BbdXxm4ePTtp3qYjuw/odcUWn59NjduOEly9/qrJqDZP1azUMnvVNgEGa9XG rIX1NPGSOEAcJg42OatOFKd7iaxtgtQK4FR4yg8aVtwffIvVsPw+d9kBresC Wl2lzZ1xrGxdwvHvlu3/8Ltdzw5v/OGpZz5b9/63O79dkrZ6d86B7FKTtf49 79FWRNpUsqvbV9VEBHV4q5rdU0dTXhLN5Tt5vJJX+a+NtkFqBdA8ktduShwR vLBVwcyrLenTZYnHQxCF/JKkL7XuyShcuOXo2LnJr38V1jpUg7/YNGLGnlnr Du3YpztWaPZ4WYeqnZLkk+GzqY1nr9oSqRVAMzjytxTO719j74BNg3zWQq3r AlqM3eU9mlexKSlv+qr0T6btHjhyQzgx9a1vtn+zMHX5jqyUI8WlJgcbwAEt iNQKoEl8dkPZlpdqLmz1F0fueq3rAk6JiJclRruImku3Z41fkPJ/34S1DtXz ozZ8Mi0+ZnXG5uS8zHyjw+XV+n0A0YzUCiBMsixZD80smHVtjaeuEoZJHqvW pQFN5vb4junN21J1M9ceHB6T8EJ461C9Pm7rl3OTF205uudgUVGZTeKvh4E2 RGoFEA53WXrxygdrPHW17F53aZrWdQHhMlqc+7NKV8XlTFqy791JO58Jbx2q j76Pm7J8/7qE44eOl1vsbq3fBNChkVoBNMzvNp/Y66pH9VNXsVdZ0qfy1BXa M59fyi+27D6gn7fx8Bezkl4eszmcW6nisC9mJc7deDhuvz6fdaiAdobUCqA+ sizbMhfp5/St8dTVhud81gKtSwNCWezuQ8fL1+85PmX5/o++j3tuRFjrUL07 acekJftWxeXszyqpqHRq/SYANITUCqBOnvJDxaserrHX1fz+PHWFdkKS5KJy W+LBokVbj341b+/r47aGcyv1hc83Do9JmLn24LZUXY7e5Pbw9wVAJCG1Aggh uS3GhGHBUwJ0MVeYksew1xU05HR7M/ONm5PzYlZnDJse//yosNahenP8tq8X pCzdnrn3sKHEaGcdKiCikVoBqKqmBGQt1c/tF3yLtWTdf7zmHK1LQ8civopl JkfKkeLlO7K+WZj61oTt4WTUgSM3fDx19/SV6ZuS8o7mVdhZhwqILqRWAApP xZHi1Y/WnBLwV/uxNVrXhQ7B4/UfLzTv2Kebvf7QiBl7Bn+xKZyY+tpXW8bO SV6w+ciejEJ9qdUv8fAUEM1IrQAkj9W4Z3jw3qy6mMtNSaMkj03r0hC1TFbX gezSNbuPfbsk7f1vdz4zvPGM+uzw9R9+t+u7ZfvXxh/LyCkz21iHCuhYSK1A B2fPXqGfe0ONKQFrn/SYsrWuC1HF55d0JZb49ML5m46Mnp30ytiw1qF6afSm UTMT52w4tCutILeo0uvza/0+AGiJ1Ap0WO6yjJApAfp5N9pzVmpdF6KBzeE5 nFu+ITF36ooDQ6eEtQ6VaO9M3DFhUerKXdn7MkvKzaxDBaAGUivQAfmd5RVx HwTnVV1MT1PiCPZmRfNIsmwotyUdMizZljlu/t7/fb0tnIw66PONn/4QH7sm Y2tKfnaBycU6VAAaNDiI1rUAaHWy32NJn1Yw69oaUwLWPO4xHtW6NEQSp9sn cqZImzPWZIjkOSi8dahEmhWZViTb5MOG4gqbxDpUAJqCsAp0HE7dtqLFd9RY JWBBf1YJQDjKzc59mSUrdmZPWJT6zsQd4WTU50asHzolbuqKAxsScw/nltuc Hq3fBIDIRmoFOgKvOad0w7PBebUgtrd53wTJ59K6NLRHHp8/t6hyV1rB7PWH RsXueWl0WOtQvfrlltGzk+ZvOhKfXlhQYvH5WYcKQEsitQLRTXJbTIkjdDGX B0fW8m2v+2xFWpeGdsRsc2fklK2NP/bdsv0ffrcrnHWoxDHvf7tz8tK0NbuP HcguNVv5LyAArYvUCkQrWZasR+fr5/QNzquGFfe7ivdqXRo05pckfak1IaNw weYjY+ckv/rllnBupQ7+YtPI2D2z1x/asU93vNDs8bIOFYA2RWoFopKrKNGw /J81VrWa2892dKGIslqXBg3Ynd4jeRUbk3Knr0z/eOrugSPDenjqrQnbJyxK Xb4zO/VocZnJofWbANDRkVqBKOM1HyvbNLjmqlZXmBJHsapVxyHLconRnnzY sHR75tcLUt4cH9Y6VM+P2jBsenzM6ozNyXlZOqPT7dX6fQBADaRWIGr4nRXG hGEhU1hLNw70mo9rXRpal9vjy9GbtqXkx649+FlMwgufbwwnpr4xbutX8/Yu 2no06VBRUblNkliHCkC7RmoFooDsc1ce+L5gVp/gvFq09G5nwQ6tS0OrqKh0 7s8qWbkrZ9KSfe9O2vFMeOtQDfk+bsry/ev3HD90vNzqYB0qABGG1ApENFmW 7TkrChf0rzmF9QbrkXmyxMMyUcLr8+cbKuP26+duPPz5zMSXx2wO51bqy2M3 fzErad7Gw7sP6POLWYcKQMQjtQKRy2VIKl7xQOgqrCnjJI9N69JwSix298Fj ZesSjk9ZXrUO1bPD1ze+DtVn6977due3S/atisvZn1VqtDi1fhMA0Ii4uLjR o0e/8sorI0eO3LBhQ6PHk1qBSOQ1Hy/bXPORqx+6V+x8x2c3aF0amkyS5MIy 656DRYu2HP1ybvLr47aGtw7VxuExCTPXHtyeqjumN7tZhwpA5PB6vQ8++GCn mm677bbKysoGziK1ApGlzkeuStY95Sk/pHVpCJfD5T2ab9ycnPfDqvRPpsU/ H946VP/3zbbxC1KW7chKOVJcYrTLMg9PAYhU7733noip55133pAhQxITEz// /PPf/e53oue///1vA2eRWoFIIXntlWkTC2ZdW+ORqyV3OXXbtC4NDRHxstTk EFFTBM7xC1Pe+mZ7WOtQjdzwybTd01eli3ArIq7dxTpUAKKE+H/Fc889V2TU 6dOnq53Lli0TPT/5yU+83nr/747UCrR/st9jPTRLP7dfyK4B1iNzZcmndXUI 5fb6jxWad+zTzVx3cMSMPYO/CGsdqte/2jJ2bvLCLUf3ZBQWlllZhwpAtCoq KurVq9f5558fPB/A7/efccYZIrgeP17vao2kVqA9k2XJnr2icOEtoY9c7f2S R67aD6PFdSC7dPXunG+X7Hvv253hrEP17PD1H3636/tl+9clHM84Vmaxu7V+ EwCgpQMHDojIeuaZZ/p89d6NIbUC7ZZTt82wbEDNXa4uN+4e4rOXaF1ah+bz S7piy+4D+nmbjoyenfTy2LDWoXppzKZRMxPnbji8a39BnqHS6+PhKQA4yev1 3nzzzSK1Pv744w0cRmoF2iF3SWrJmsdClggo3/a6tzJX69I6IqvDc+h4+YY9 x6euODBkStxzIxpfh0q0dybumLR438pdOWmZJRWVrEMFAHXz+/1PPPGEiKy/ +c1vysrKGjiS1Aq0Kx5jZummF0Lyaun6ZzzlB7UuraOQZNlQbks6VLR4a+ZX 8/b+7+uw1qEa9PnGz35IiF17cFtKfk6ByeVhvjEANM7hcNx3330isv7sZz+L j49v+GBSK9BO+Kz68p1v637oEZxXi1f+y1WYoHVpUc7p9mbpjFv25sWszvh0 evygUWGtQ/Xm+G3j5qcs2ZaZfNhQXGGXWIcKAJqooqKiX79+yl3WpKSkRo8f XI82KBWAwu8oM+75TDfjyppLWv3Dkdv4RiFohjKzY9/RkhU7sycsSn17Qljr UA0cuWHo1N3TVh7YmJh7JK/C5vRo/SYAILIpKwmIyNq9e/ecnJxwTiGgAhry OytMyV8UxPYOzquF8/vbMhfJEk/rtAyPz59bZN6ZVjB7/aGRsXteHL0pnJj6 6pdbxsxJXrD5SHx6YUGJxS9JWr8PAIgeIrJedtllIrLedNNNFRUVYZ5FagU0 4XebzXu/LJh5dY0lWGf/2ZI+TfaxCNIpMVtd6Tlla+KPfbc07f3JO58Z3nhG Fcd8MHmXOF6cJc4VI2j9JgAgmj3yyCMisv7lL39xOpvwsCqpFWhjkttiTh0f ssWV+NGcMk7yWLWuLvL4JamgxBKfXrhg85Exc5Jf/XJLOLdSXxy9aWTsntnr D+1MK8gtMntYhwoA2kp8fHynE7p27fqbWo4cOVLfiaRWoM2IUHpiS9Y+NfLq zKvNe8f6XSatq4sYNqfncG7FxsTcaSsPDJ26O8x1qN6esH3CotQVO7P3HS0p Mzu0fhMA0HGNGzeuU/0yMjLqO5HUCrQByWuvPPC9fvafQ7a4MiWN8jvDnc/T MUmyXFxhTz5sWLItc9z8lDfHbwtrHapRGz6dHh+zOmPr3vwsndHpZh0qAIh4 pFagVUk+pyV9mn5O3xpLsM7oZdwz3O9oaC3lDsvl8eUUmLal5Meuyfjsh4RB n28MJ6b+7+utX83bu3hrZtKhIkO5jXWoACD6kFqBViJ5HZaMH/Rzb6iZV680 xn/isxdrXV07UlHpTMssWbkrZ+Life9M3BFORn1uxPohU+KmrjiwYc/xQ8fL bQ7WoQKA6EdqBVpc1fzV/ZP1c66vkVdjLq/Y/ZHPVqR1dRrz+vx5hspd+wvm bjj8+czEl8aEtQ7VK2M3j56dNG/Tkd0H9Lpii8/POlQA0OGQWoEW5HeZTqwP 0KdmXu1Zses9n0WndXXaqLS5M46VrUs4/v2y/R9+t+vZ4Y0/PPXMZ+ve+3bn t0vSVu/OOZBdarSwDhUAgNQKtAy/s9yUPLpg5jU18+oVFbve91ryta6u7UiS XFhm3ZNRuHDL0bFzk1//Kqx1qAZ/sWnEjD2z1h3asU93rNDs9rIOFQAgFKkV OEU+u8G4Z3jI/lZVz1vFf+yzFmpdXauzu7xH842bkvKmr0r/ZNru50duCCem vvXN9vELU5btyEo5Ulxqcsg8PAUAaAypFWg2n7XAuHuIbsaVNdezusqUONJn L9G6ulYh4mWJ0S6i5tLtWeMXpPzfN2GtQyWi7CfT4n9Ylb45OS8z3+hwebV+ HwCAyENqBZrBaz5esfMdXczloftb7f0yytZfdXv9x/Tm7am6mesODo9JeCG8 daheH7f1y7nJi7Yc3XOwqKjMJkncSgUAnCpSK9Ak7rL0sq2v6X7oEZxX9bOv M++bILkrta6uBRgtzv1Zpavicr5dsu/dSTufCSOjPjt8/Uffx01Zvn9dwvGD x8osdrfWbwIAEIVIrUCYnAU7S9Y+WWPyqsirc/tVHvhe8ti0rq6ZfH4pv9iy +4B+3sbDX8xKenns5nBupb48ZvMXsxLnbjwct1+fb6hkHSoAQBsgtQINkyWv PXuFYdmAkLxaOP+vloMxks+pdYFNY7G7Dx0vX7/n+JTl+4d8H/fciLDWoXp3 0o5Ji/et3JWzP6ukojLC3jIAIDqQWoH6iLgqcmnhgv4hebVoyT9smYtkfwT8 PbgkyUXltsSDRYu2Hv1q3t43xm0N51bqC59v/CwmIXbtwW2puhy9ye3xaf0+ AAAgtQJ18DvLzSlf6WdfF5JXi1c/4sjb3J6XaXK6vVk645a9eTGrM4ZNj39+ VFjrUL05ftvXC1KWbs/ce9hQYrS35zcIAOiwSK1AMG9l7onFrHqF5NWyTYNd xSlaVxdKxMsykyP1aPHyndnfLEx9a8L2cDLqwJEbPp66e/rK9I1JuUfyKuxO 1qECAESAwUG0rgXQkrs0rWzLKyGLA+hmXFm1uZU5R+vqTvJ4/ccLzTv26Wav PzRixp7BX2wKJ6a+9tWWsXOSF2w+kpBRqC+1+iUengIARB7CKjo4WfLZj68t XvVIyM3Vgll9TMmjNd8swGR1HcguXbP72OSlae9P3vnM8MYzqjjmg8m7vlu2 f238sYycMrMtAubfAgDQKFIrOiy/21x54PvC+aEPW1UtDpA+VfJY274kn1/S lVji0wvnbzoyenbSq19uCedW6kujN42K3TNnw6FdaQW5RZUen7/tKwcAoLWR WtEBec05xt1DC2KvCl0cYOndtszFst/TZpXYHJ7DueUbEnOnrjgwdEpY61CJ 9s7EHRMWpa7clb0vs6TczDpUAIAOgdSKjkOWZWfBztINz4aEVdFKNw506uNa uwBJlosrbMmHDUu2ZY6bv/d/X28LJ6MOGrXh0x/iZ6zJ2Lo3P7vA5HSzDhUA oCMitaIjkHxO65G5RUv+ETp5debVxoRhXvPxVvq9Lo9P5MytKfkic4rkOSi8 dahEmhWZViTbpEMGkXIl1qECAIDUimjns+pNyWNqr7xauOBvlvRpktvSsr+u 3Ozcl1myclf2xMX73pm4I5yM+tyI9UOnxE1dcWBDYu7h3HKbo+3mJwAAEEFI rYhKsiw5C3aUbnohdCWrqp0C/u3IXS9LLfDIksfnzy2q3JVWMGfDoVEzE18a HdY6VK9+uWX07KT5m47EpxfqSiw+P+tQAQDQOFIroozfZbSkTy1ceGvo5NWY K8p3vOUuyziVwc02d0ZO2dr4Y98t2//hd7vCXIfq/W93Tl6atmb3sQPZpSar q6XeKQAAHQqpFVHDXZJWvuPt2tta6efeYE79uhkrr/olSV9qTcgoXLD5yNg5 ya99FdY6VIO/2DRixp5Z6w7t2Kc7Xmj2eFmHCgCAFkBqRaSTvA7b0YWG5ffV XhmgZM3j9mNrZCncHUvtTu/RvIqNSbnTV6Z/PHX3wJFhPTz11oTt3yxMXb4j K/VocZnJIfPwFAAArYDUishVtezqns8KZvWpta3VtcaEYR5jVsOni3hZYrTv PWxYuj3z6wUpb44Pax2q50dtGDY9PmZ1xubkvCyd0ekONxIDAIBTQWpFxJH9 bvvxtSXrnqp9c9WwbID1yFzJa6/zRLfHl6M3bUvVzVx78LOYhBc+3xhOTH1j 3Nav5u1dtPVo4sGiojKbJHErFQAADZBaEUE8xixT4kj9nOtD8+qMK8u3v+kq Tgk5vqLSuT+rZFVczqQl+96dtOOZ8NahGvJ93JTl+9fvOX7oeLnF7tbknQIA gBCkVrR/ktduy1xUvOrh2jdXCxfeXLn/O7+zQhzm80v5hsq4/fq5Gw9/MSvx 5TGbw7mV+vLYzeLgeRsP7z6gzy9mHSoAANopUivaM3dJWkXcBwUzr661jFXP 0k2DKrI2HMwpWZdwfMry/R99H/fs8PWNr0P12bp3J+2ctGTfqrj/b+9OoJq6 8z2A61jbaW1nOh1nOTO2M6e1r47a+mqrfbXVaqf18eZ0nI7ta923WmtrcalT qdW6AqKIuLCorAIuCOIGiez7EkAI+74ESAiQhZCF7H1/uW+YDFm4EgIJfD+H 01P+3nv553/+9+abm3t/t664pkMoUYz2SwQAAABakFrBDj2ouVoaxI12Mj65 2hC+MCv6kE8409kric6p1M/d7x0Jyg6NLUsp5NS3ipWoQwUAAOCYkFrBfuh1 WkVreleyMyf4TwPCamPAjLhznx7yOLXucKzlmLrrdLL31YLolJr8Ch5fKEMd KgAAgLEBqRXsgUpYJcpz54S/YXxyleW/yO/kni+OXDddh8qVeeBiZsDtkvi8 pqomgawXdagAAADGJqRWGC1Ktba+vq6I4VkR+mfjsFpzcVb0mXV73f0GxNSv TyaeiGBdS6zKKW1r7ehBHSoAAIBxYouB0e4LjHFCSS+7tuNOZp3/9dxAP48k nw+aAl4cEFabA6an+y719jzw2ZGbJKNuOMLY65fuf6M4LruhtL6zW4o6VAAA AOMUwirYiEar47RLMtmtl+MrPcLyvjqRsO5w7MFjp2+eWVV7cZbxydX7598M PuXs4nnZLTQ3glmRXtzSxOtWa3DzFAAAADyA1ArDRSpXVTR2MXMaLtxk7zuf sfHov+pQ7XYLCvPeWnJ+nokrAQJeSbu0NeHe7aJqvqAbdagAAADANKRWGBqd Xs/rkuaVc68nVZ+8nL/jlIk6VDtcLwV67WD5LzIOq82BLzXd3iSui9NrVaP9 UgAAAMABILUCTQqlpoYjTMpvDrpTeigga7Mb01ztqa9dIy547c7xW2IcVslP +63lPRXh2l7RaL8gAAAAcCRIrWBOp1h+v4p/M632TGTh7jMpg9bz/+roVX8v F1aAU7OpsNp27R1xgZda3DDaLwsAAAAcElIrUFQabSNXnFbUEsYodw3J+cIj ns6Tp7Z5JnqHJaXcOFUT+TEncGBBgAdh9coCUe5RZUfRaL8+AAAAcGxIreOW WKosqeu8m1XvF130nW/6+iODZ1SyjItvmm90EVmrtLK+o+RKB3MDJ+gl47Da GjFfmHWgl8fS63Wj/UIBAABgLEBqHSe0Ol0LX5JV0nY1ofJ4OGubZyKdU6lf eMS7huSEMcrTiloauWKVRquRtfdUhPMZa02H1bC5goy9irZMvQ4VqwAAAGA4 IbWOVVKFqrJJcC+v8eIt9v4LmZtczd48Zfiz+0zKmcjCmLTa+1X8TrG8f2vq 7iYJ+3z77Y9M3mDVcmlOV+puBSdFr8MDVQEAAMAmkFrHBp1e3y6QsSp40SnV XlcKdnon08mom92YhwKygu6UJuY31XCECqVmwGZVXeXiwlO8aCfTYTX0la5k Z3lTvF6DR1YBAACAbSG1OqhelaauRZRc0BwSW3Y4MHuz+z06MXXHqaSTl/Ov J1XnlXO5XVKSdY23rNNpeirCO5ib2q69YzKstoa/Lkh3kXOSEFYBAABgxCC1 OgpBt6Komn8rve7c9fv/OJtKJ6NuPMrY559x4SabmdNQ3tDVI7dUz1+n7JbV 3+Uz1pssBdBXDeBtYfahXm4urlkFAACAkYfUap/UGm0Trzu9uCWCWeEemrv1 OK06VF+eSPAIy7scX5nJbuW0SzTawe/fV4lqJSUX+LErOUH/YTKscqPeF+d7 KjtL9KZOzAIAAACMDKRWOyGRKcvqO+OyG/xvFO/1S99whDF4HarDcXt80nyi 7t/JrGPXdgglvTT/ll6jVLSkCbMPmrsG4ME1qyGzu9K+VYvrbPqqAQAAAGhC ah0VOp2+rbMnp4x7LbHqRATL+SStOlRbjt07GpwTGleWUsipbxMr1Q/3Tb1G xuuputIZv4UkUnNJtTNhi7jAq7eDbaMXDgAAADA0SK0jQ9arrmoWJrCaAm6X HLiY+Rm9OlTfnE7xvlZwI7WmoLK9QyQfwnf0Oo1C0ZouynPj3fgfc6dV264t FmYfIovptbi7CgAAAOwUUqstkHjJF8pI1CSBk8TOXadp1aEiUfbAxazA2yUk 3JKIK+8dYu1T8tdVXeXdbH9+3BpO8EzTYTXoJX7sSknJRbWodnhfOwAAAIAt bDEw2n1xYEq1tr5VnFLICY0rOxqcs+UYrTpUzl5JnhGsyMSqnDJuW2ePTmfV 7U4aKU9afb0reXtr+Dxzp1XJP3Wl7pY1xOqUkuF67QAAAAAjAGF1aISS3uKa jtsZdT5R9/f4pK2nkVE3HGHs9Us/H1Mcl91QVt8pkQ3D1/E6Zbe8OVGYc5gb 9b65pMoJmsG/+2l30TllR5FeP3hVAQAAAAA7hNRKh0ar47RLMtmtl+9VHLuU 9+WJBFp1qI4nuIfmRjArMopbm3ndas3wlDnV9orkTfGi3KO8mA/M1ValKlYJ sw/JOUk6lXRY/i4AAADAKEJqNalHripv6GLkNJyPKd7nn7HxKK06VN+eSz13 /f7tjLriGr6gWzGM/dH2CuWNTGHOYd6Nv5g9p0pdAJC8XVodqZHyhvGvAwAA AIw6pNYf++pQcbukeeXc60nVJy/nb/dKonMq9XP3e4eDskNiy5ILmutaREqV Znh7pVUI5I0MYfZBXrSThaTaEjKLz1jbzfZXdZXhQQAAAAAwVo3P1KpQqms4 wsT8pqA7pQcDsj5zo1WHaqd38qmrBdEp1awKXrtANuwRUa/TqgSVPZURXWm7 uZHvWkyqszsY67qLfXvbC/RaS89pBQAAABgbxklq7RTJC6vaY9Jqz0QWfnMm hU5G3eTK3H8hM+BWyb28xsomgUwxxDpUlumU3YqWNHHhKT5jbUvoK5aSaujL HcwN3Wx/Jf++XmeTzgAAAADYrTGZWlVqbUObOPU+J4xR7hqSs+VYPJ2Yus0z 8Xg462pCZXZpW2tHj1Znk9vt9Xq9WlQrrY4UZHzHjVpqIaY+SKqX5nQwN0rY 5x/c/q8b5isQAAAAABzI2Eit4p7ekrrOu5n1vtFFLr5p648MnlHJMt/5pvvd KI7Nqi+t6xRLbfhYKE1Pi7yRIc4/0cFY1xL2quWk2nZtcVfqNz0V4aqucr1u eMoOAAAAADg6R0ytGq2uhS/JKmm7El/pEZa3zTORzqnUrR7xbiE5YYzytKKW Rm63apjqUJnuYU9rX0z1JDG1New1yzGVEzKz/c4nIpaHvCleq+iyXa8AAAAA HJdDpFapQlXRKLiX23jhJnv/eVp1qMjPP86mnoksvJlWe7+K3yUezjpUA+j1 eo2EI29k9sXU9YPH1MDpbVfe7kp2lpQFKzvZuEgVAAAAYFB2mFp1en27QMqq 4EUlV3tdyd9xKplORt3sxjwUmBV8tzQpv7m2RaRQ2vAqUK1S3MvL6ym/JMj8 vv32R5bvovr/Sqphr5FAS2ItCbcaGYqpAgAAADwce0itvSoNyZlJBc0hd0sP B2Zvdr9HJ6buOJVEMi1JtnnlPF6XVGezUqV6rVIlqJTV3hSxPDqYG9uuLBg0 o/bF1LkdjHXi/BPyRoamp8VGfQMAAAAYJ0YltQq6Ffer+bfSa89ev/+Ps6l0 MurGo4x95zMu3GQzcxsrGrukclsVKdWpepSdpbK6W+JC765kZ260EyfoJXPR lIyeYUzlM9aKWMcfxFQJx0bdG3vs4XOTo8MYWgOjZz2MofUwhgB0jMCeotZo m3jd6UUt4cxyt9DcrR606lB9dSLBIyzvcnxlVkkbhy/RaIe/DpVep1VLmhUt qZKyIGHmfn7sqtbLb9I5j/rgJ2gG78ZfyOh1s/3JFvAE1SHDsdp6GENrYPSs hzG0HsYQgA5b7CndUmVpfWdsVr3fjeK9fukbjgx+89T6I3EuPmk+UUV3MuvY tR2int7h7RIJqJqetl5ujrQ6Upzv2Zn45YOTqMF/optRA6e3XX27495nZF1Z /W2VsJq6hQrHGethDK2HMbQGRs96GEPrYQwB6LB+T9HqdK0dPTmlbdcSq06E s74+SasO1ZZj8UeDcy7Flafe5zS0iVXqYatDpVUIlJ1sWUOcpOSCMOtAB3MD 9/qfOUEz6AfUvqKpi8iKwpzDPRXhve35OqXE5N/CccZ6GEPrYQytgdGzHsbQ ehhDADqGsKfIetVVTYL4vCay7g8XMje5MunE1G/OpJy+VhiTWlNQ2d4hkuv7 bp4a8n6qU3arhNWKllSyBXHhKUH6Hj5jLff6e5yQmfSjKXVVasul/2y/9WFX 6jfdRefkjQyVsEqnoXum1/rjzOhuwdH7b/0WHL3/1m/B0ftv/RYcvf/Wb8HR +2/9Fhy9/9ZvAZkZHMWgc5XES75Qll/Bi06p8b5asNP7X3WoyLrmMupnbsyD AVlBd0oTWE3VzUKF0nRJUnN/Xa/TauWdKkGlojVDWhsjKbkgynXrSt7Ov7uC G/luS8gsk/dDDf4TMpMb9d8d8Z+TrfVUXSHrauUdNh09O9+Co/ff+i04ev+t 34Kj99/6LTh6/63fgqP33/otOHr/rd8CUis4CuO5qlRp6lpFyYWc0NiyI0HZ n5uvQ2WYWp29kjwjWJFJVbllXG6nVKczXYdKr1NrFQK1uEHJL1JwUsgWJGXB 4gIvYeb+zqRt/NhV3Gin1vB5nMAXH+p8qdHPi21X3ubf/bQrbbe40Ftae6O3 PV8j4+v/vTqWox9nrN+Co/ff+i04ev+t34Kj99/6LTh6/63fgqP33/otOHr/ rd8CUiuMli0AAAAAD2m08wuAJaxbR9iB75KJmue/iPyw/Bfm+y8s8H+r0H9B 0fn/Yp+fX3rhtfILr1ZdeKXm4qyGgBnNtM9/DuNPy6X/5Ea9z49d1ZW8XZTr Kim5KKu71cvNVXc36jQ2fEgrAAAAANiJ9EtbHvq60GH8CXqpNWI+N2pp+53/ 7UzYIsj4TsQ6TkKptCZa0ZKq7CzVSLl6rXK0BwkAAAAARlnh9a+HI7W+2BL6 MsmfbdcW8aKd2m8t58etISm0K2WXMOsHEcuju9i3p/yStDZG3pzYy8tTCSpJ HNWppKP96gEAAADAMTSUpqTdOktSK/d+eE/1dWlNlLT2hqz2pqz+tqwhVt7I lDclKDgpitaMXm6ukl+o7CwhmVMtrtf0tGrlnTqlBOdCAQAAAGBk4AJsAAAA ALB/SK0AAAAAYP+QWgEAAADA/iG1AgAAAID9Q2oFAAAAAPuH1AoAAAAA9g+p 1YKKigo3N7dt27adP3++pqZm0OVzc3MvG0lKShqBrtq5qKiozZs3KxSDP85M rVaHhYXt3r173759cXFxvb29I9A9+9fT00PmYWRkpOXF5HK58QwkOjo6Rqaf dkgsFgcEBOzZs2fXrl3+/v48Hm/QVR52xx/zMjIyPDw8vvrqK1dXVyaTaXlh TEJjIpHI19d3+/bt7u7u6enpGo1m0FUwCQFMQmo1h2SnSZMmTfinyZMnX716 1fIqixcvnmDk7bffHpkO263s7OxHH32UDAU5dFtekmTUV155ZcDodXd3j0w/ 7ZZer1+2bBkZDfKuZ3nJtLQ04xlIjNuPTgwG45e//KXhUDz11FMREREWVhnC jj+GkU+RH3744YDptGTJEgt7JSbhAKmpqc8884zhUDg5OclkMgurYBICmIPU ahKPx3v66afJseLcuXNlZWXHjx8nx5Cf/OQnRUVFFtYiq5AjzI4dO3Ya8PHx GbFu26F79+79+te/po69g6ZWFxcXKqnm5OSkp6e//vrr5FfypjkyXbVPJB6s W7eOGsBBU+vp06fJYm+88cbOf1dXVzcyvbUrXC73F7/4BRUSoqKiYmNjP/74 Y/LrY489VlFRYXKVoe34Y9iePXvIiJFdeN++fbm5ue7u7tOmTSMta9euNbcK JqEhoVA4depUMiAfffQRye2XL1+mPpivXr3a3CqYhAAWILWatGLFCnJg+f77 7/tb9u/fT1o2bdpkbpWmpiaywAsvvDAiHXQAJKNu2LDB8AyD5dRaXl5ODs6P P/64RCKhWkhge/LJJ8nhmoztSPTY/ty9e/f3v/99/wAOmlrXr19PFgsPDx+Z 7tk58qZPRuPZZ5/V6/X9jS+//DJpPHTokMlVhrDjj2Fk3H71q1+Rlx8QENDf eOPGDdLy6KOPqtVqk2thEhq6ePEiGQ0S9fuHKyMjg7T8/Oc/N3edACYhgAVI rcZ0Ot1TTz1FjhLV1dX9jXV1daTliSee0Gq1Jte6efMmWeCTTz4ZqW7aO29v b2rEAgMDqW9pLadWT09PsszKlSsNG9esWUMa3d3dbdxZO0Xe2sjLf/fdd/fu 3Usntc6ZM4csVllZOTLds3M//PADiawHDhwwbDx69Ki5U4VD2/HHMC6XO3Pm zN/+9reG1wOQcXjsscfImDQ0NJhcC5PQUFZWlouLi+H3+0qlcmIfk8dDTEIA y5BajdXW1lKfhQe0U9cmmbsw/uDBg+Rfd+3adejQoeXLl69fv97Hx4ccoGzf XzsVHBzs7Ozc1tZG/p9Oal21ahVZhmRdw8azZ88aR9nxY+nSpdHR0Xq9njpt aDm1qlSqyZMnT5kyJSYm5vPPP1+2bBl5u8zPzx+x3joE6ipNNzc3438a2o4/ 3rDZbDIajz/+uMlThZiElpF92dXVlQzg/PnzTS6ASQhgGVKrsby8PJPf9U+f Pp20k8/OJtf629/+ZnwDwsyZMxsbG23fZXtHJ7U6OTkZf7EYERFBGt977z0b d9De0UmtxcXFxjNw0qRJJhPa+MRkMsmYPPLII2VlZcb/OrQdf1xRq9WLFi0i o7FixQqTC2ASmtPZ2blmzRrqIv9p06YVFBSYXAyTEMAypFZjycnJ5Pgwd+7c Ae3z5s0j7QkJCSbXeu6558i/zp49OyYmpr6+PioqimpZvHix4WV14xOd1Lpw 4UKyzJ07dwwb4+LiSOOCBQts3EF7Rye1BgcHk2UmTpz4/fffFxUVsdlssndT LSkpKSPWVbvFYrGefPJJMiADrhnoN7Qdf/zQarUrV64kQzF16lSSwUwug0lo jmFphVdffdXk56YfMQkBBoPUaiw7O5s6sAxop67XSk1NNbkWg8Hw8/MTCoX9 LeS49Mgjj5BVcO8nndT6/vvvk2Vu375t2EhdLfzOO+/Ytn92j05qbW5uDg8P J/PQsJG6s2PZsmU27qC9I8NCRdaPP/7Y3F0wQ9vxxwm5XP7Xv/6VjAMZRgtn /DAJzSEDyOFwyCxavXo1dcLf5PsCJiGAZVsMjHZf7AVVDeAPf/jDgPZnn332 YSPo/PnzySphYWHD2T8HRCe1Urceh4SEGDYGBQXh/e5HeqnVJJIfyIrPP/+8 LXrlKIKDg6nPjxs3brRQ4H0Yd/wxRiAQUIeyqVOn5uXlPezqmIQDUIO5f/9+ 43/CJASwDGHVmFKpJMeHKVOm6HS6/katVvvEE0+QdnNPeJFKpcaP3XnvvffI KuRN04bddQR0Uit1m7yHh4dh47Fjx0jjl19+aeMO2js6qZVMUT6fP6B6eVZW Flnxueees3EH7Ze3t/fEiRMnmK921W9oO/6YR1USICMwffr0QWuuYhIOQN4X SkpKBjyUwc/Pb4KZG7IwCQEsQ2o16YUXXiCHiOTk5P6WxMRE0vLHP/7R5PLk I/CEvieYtLS09DeqVKrf/OY3pD0nJ8fmPbZvdFJreHg4WWbhwoWGjW+99RZp DA0NtXEH7R2d1Eo9P2vr1q2GjVTJ96VLl9q4g3aKfAiidkya33c87I4/5pHI +vzzz5MRIHuiQCAYdHlMwgH+/ve/k9d+8uRJw0byK2n84IMPTK6CSQgAD4uq Nerk5ESVhib/JYdc0uLl5dW/DPkEnZWV1d7e/mPfZ2HqKTxff/11/wLfffcd aZkxYwadp06PbSZTq+EA/th3koGE/IkTJ6anp1Mtqamp5Ndp06b1P3dg3DKZ WsViMRlAFotF/Xrq1CmyzE9/+lOq2hjB4XCoe5YtP8N0rGKz2ZMmTSJTKCYm xtwyAyYhnR1/XKGeJvbmm28qFAqTC2ASWubj4zOh71EX/Zm/tbWVOptx5swZ qgWTEACsJJVKqSPtvHnzXFxcqPs358+fb/itzWuvvUYaT58+Tf0aGhpK3R86 e/bsPXv2LFmyZEJfVcNx+/RtQyZT64ABJI4fPz6hr5j2F33I6JFf7969O+L9 tTsmUysZGdL49NNPU7/K5fJZs2ZRA7h69WpnZ+f+55mOzyoW1PU51NWYA2zY sIFaZsAkpLPjjx/UN/sT+kpXGY8h9RwBTELLyIfxuXPnUnexrVu3juzC1IAs WLCg/2wGJiEAWK+pqemNN96Y8E/koDGgwvPrr79O2s+ePdvfEh4e/rvf/Y5a fuLEiXPmzCkuLh7xjtsj6rmQAy7uMh7AH/u+O5syZQo1huSND2UeKb6+vmRA du7cadgYGxtLGp955pn+lra2tk8//ZS6jJP42c9+9u23347b5+lQzxgyafny 5dQyxpNw0B1//PDy8jI3gERpaemPmIQ08Pl8EuD7B2Ty5MlkRybRtH8BTEIA GC4ikaigoMDwalXL9Ho9h8MpLCzEl9pDptPpqqqqSkpK5HL5aPfFIclkMjJ6 5G1ufJ7dGhYPu+PDAJiEA5CYSmZUeXk59b0/HZiEAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO 4f8A1pQVTg== "], {{0, 226.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 226.}, PlotRange->{{0, 457.}, {0, 226.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7639675413715053`*^9, 3.763967544228846*^9}, 3.763975677197274*^9, 3.763977437380209*^9, 3.7639840156405964`*^9, 3.7645006115192404`*^9}, CellLabel->"Out[21]=", CellID->90708673] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->580639382], Cell[TextData[{ "If you don\[CloseCurlyQuote]t specify the linking variable, ", Cell[BoxData[ FormBox["CheckboxLegended", TraditionalForm]]], " will return a ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["DynamicModule", "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/DynamicModule"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], " that cannot be combined with other graphics using ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Show", "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/Show"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.7639699821071444`*^9, 3.76397008686712*^9}, { 3.7639704540310273`*^9, 3.763970478572427*^9}, {3.7652980376383686`*^9, 3.7652980428368883`*^9}}, CellID->678423497], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", RowBox[{"<|", RowBox[{"1", "\[Rule]", RowBox[{"Range", "[", "5", "]"}]}], "|>"}], "]"}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.763970061092044*^9, 3.7639701258125563`*^9}, { 3.7639702381353445`*^9, 3.763970268612878*^9}, 3.7645010902921853`*^9}, CellLabel->"In[31]:=", CellID->201799084], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt3QuYVWWh8PEZARXzLiCZ4d1KUasvOWadDprHU2ZqqGXH1C46VibaKa+g IJofHfOWaCpFGfl1RMMnFbTiaBoGIoGgKSjKHQFhGJgZhhlmZn/vzNLtZs+F mWGG9c7M7/esp2dm7bXeeWe/W/qzWXvvg7592ZCiHQoKCn60c/ifId+66oT/ +q9vXXPmnuGbs4f+6HsXD73owi8O/fFFF1/0X8d9u0fYOa+woODn4Yu6rzMA AAAAAAAAAE0rKipKewoAALAVqhUAgPipVgAA4qdaAQCIn2oFACB+RTnSngsA ADROrAIAED/VCgBA/FQrAADxU60AAMRPtQIAED/VCgBA/FQrAADb2bRp0x5s YMqUKc2coloBANjOBg8eXNDAZz/72WZOUa0AAGxne+65Z8jUyy677PIcY8aM aeYU1QoAwPa0cOHCkKyHHHJIq85SrQAAbE+PPvpoqNavfvWrrTpLtQIAsD2N GDEiVOsPf/jDkSNHDhky5IILLhgzZsymTZuaP0u1AgCwPZ1++ukNX4p1xBFH vPXWW82cpVoBoFupqa2dPX/lhCnzwha+CN+mPSO6nQEDBoRMHThw4MSJExcs WPDwww8newYPHlzb9ANStQJA91G8oWLE2Knn3zApu4Vvw86050X3Mnny5Hvu uWft2rXZPS+//HLPnj1DuM6aNaups4qasF2mDABsPzW1tXnJmg1Xz7iSukGD BoVq/e1vf9vUAQIVALqJ2fNXNkzWZAs3pT07upHS0tIVK1bk7TzppJNCtY4b N66ps1QrAHQTE6bMa6paw01pz47uYtasWaFOe/XqtWTJkuzOysrKfffdN+z/ +9//3tSJqhUAugnVSgyqq6v32muvEKg/+MEPsjuvvvrqsOejH/3o5s2bmzpR tQJAN+EKASLxm9/8Jnm3q4EDB1555ZUnnHBC+Lp3795Tpkxp5izVCgDdhFdj EY/x48fvt99+SbsWFhYec8wxs2fPbv4U1QoA3Yd3viIetbW1ixcvnjlz5vr1 61tyvGoFgG7FpwzQSalWAADip1oBAIifagUAIH6qFQCA+KlWAADip1oBAIif agUAIH6qFQCA+BXlSHsuAADQOLEKAED8VCsAAPFTrQAAxE+1AgAQP9UKAED8 VCsAAPFTrQAAxE+1AgAQP9UKAED8VCsAAPFTrQAAxE+1AgAQP9UKAED8VCsA APFTrQAAxK8oR9pzAQCAxolVAADip1oBAIifagUAIH6qFQCA+KlWAADip1oB AIifagUAIH6qFQCA+KlWAADip1oBAIifagUAIH6qFQCA+KlWAADip1oBAIif agUAIH6qFQCA+KlWAADiV5Qj7bkAAEDjxCoAAPFTrQAAxE+1AgAQP9UKAED8 VCsAAPFTrQAAxE+1AgAQP9UKAED8VCsAAPFTrQAAxE+1AgAQP9UKAED8VCsA APFTrQAAxE+1AgAQv6Icac8FAAAaJ1YBAIifagUAIH6qFQCA+KlWAADip1oB AIifagUAIH6qFQCAFE2ePPlHP/rR3Llzmz9MtQIAkJaFCxfuvvvuBQUFDz30 UPNHqlYAAFJRU1Pzr//6rwX1VCsAAHG6+eabC96jWgEAiNDMmTN79ep1+OGH n3baaaoVAIAIlZeXf+QjH+nZs+cLL7zw9a9/XbUCABCh733ve6FUR4wYEb5W rQCkq6a2dvb8lROmzAtb+CJ8m/aMgCg88cQTIVOPPfbYzZs3Z1QrAKkq3lAx YuzU82+YlN3Ct2Fn2vMCUrZq1ap+/frtsssu8+bNS/a0vFob1fFTBqDLqqmt zUvWbLh6xhW6uTPPPDM06pAhQ/78nn/7t38Le6655prwdXFxcVMnClQA2t3s +SsbJmuyhZvSnh2QpkMOOaSgaSFcmzpRtQLQ7iZMmddUtYab0p4dkKYbb7zx 0i0deuihoVdPPvnk8PX8+fObOlG1AtDuVCvQcl6NBUBaXCEAtJxqBSAtXo0F tNx//ud/hmqdMGFC84epVgA6gne+AtqXagWgg/iUAaAdqVYAAOKnWgEAiJ9q BQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4FeVIey4AANA4sQoAQPxU KwAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA 8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADEryhH2nMBAIDGiVUAAOKnWgEA iJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9q BQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOJXlCPtuQAAQOPE KgAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA 8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADET7UCABC/ohxpzwUAABonVgEA iJ9qBQAgfqoVAID4qVYAYLuppUvr0AePagUAtoNs2NS8p5ouIbugHd2uqhUA 6FC5sRoip6qqqrLepvdU0Allly9ZzbCs2YLtoHZVrQBAx8km6+bNm0PhlJeX l5SUrFmzZvXq1Svf8/bbb6+gU1mZIyzl2rVrw7KGxQ1LHBa6heH69NNPjxw5 cujQoePHj1+6dOlWH0uqFQDoIEm6VFdXV1ZWlpaWhrYJvbphw4bwbUdfA8l2 E9Y3xGpY1rC4YYnDQof1DTubCddw69lnn12Qo3fv3o8//njzP0i1AgAdIXmK NUmakpKSd955J8RM2pOiY4UlDgsdljssenLBQKPhesMNN4RS7d+//+233z5t 2rQf//jH4duePXu+9tprzQyuWgGAdpd9ljXUy9q1a4uLi9OeEdtPWO6w6Em4 NnzGNXz7oQ99KGTqPffck9154oknhj233HJLM8OqVgCg3SVPtFZWVq5bt06y dkNh0cPShwdAw6dbKyoqbrvttosvvnjjxo3Znddee22o1ssuu6yZMVUrANC+ si+/Ki0tXb16ddrTIR1h6cMDIPvirGaOXLJkyYEHHhiqdfLkyc0cploBgPaV XBtQUVERuqWqqirt6ZCOsPSrVq0KD4PkOoFGj3nggQc+/elP77DDDiFZf/CD H4TEbWZA1Qp0auEv8LPnr5wwZV7Ywhc1XpUMaUuuYwz5sWHDBk+0dnPhARAe BuHB0NT7CQwePDj7NgKjR49u/u84qhXovIo3VIwYO/X8GyZlt/Bt2Jn2vKBb Sy4PCPmxdu3a9evXpz0d0hQeAOFhEB4MTV0ksGjRoiVLltx2223JFQJnnnlm M6MVNaHDpg/QPsKfgHnJmg1Xz7hCirKXB7z99tubNm3axtG2fYSs+++/f8yY MdOnT2+vAdmqsHzhYdD8RQKJyZMnh2rdaaedysrKmjpGoAKd1Oz5Kxsma7KF m9KeHXRf2Wpdvnx5TU1NG0aYP3/+sGHDvvjFL/br16+wsPCwww4755xz7rzz zm18u9edd945dNGPf/zjbRmEVgkPgPAwyKvWsHPJkiWvvPJK3pH9+/dv/gVZ qhXopCZMmddUtYab0p4ddF/JRa3l5eWhTNpw+uOPP77HHnsUNGbQoEEt+dzP pmzPav31r3999dVX33bbbdvhZ0UuPAzCgyG5tDXZM2fOnLAQe+21V+5rr8LX e+65Z9g/c+bMpoZSrUAnpVohTtlqXbRoUWvPfeCBBwoLC5NG/fznP3/ttdfe ddddl1xyyUEHHZTs7Nu379q1a9s2se1ZrSeddFL4WYceeuh2+FmRCw+DvGoN X/Tr1y/cPz/96U+zhw0bNizsCfubeRsB1Qp0Uq4QgDhlq3XhwoWtOrG6unq/ /fZLLm78n//5n9ybysrKvvGNbyThOmbMmLZNTLWmIjwM8qo1mDBhQrKaH//4 x6+++urkg7HCX1gmTZrUzFCqFeikvBoL4pRUa+jM1lbrggULkpI5/fTTG95a Wlq61157JdcJNLy1pqZm8eLFL7zwwqJFi0L9Njp+89W6YcOGOXPmvPTSSyUl Jc3PM/ysZcuWzZgxo5n39dr2ag2/74svvrjVtw7LTmb+/Pm5HzXVLiNv9S5t ifAwCA+GvGoNHnrooeRzXRNHHHHEX//61+aHUq1A5+WdryBCSbWGNHrzzTdb deI//vGPJGCuuOKKRg+YPn36o48++uc//zl3Z/hZN9xwQ9++fbP9s88++wwb NqzhPzQ3Va0h4U4++eTcC2hPOOGERt9qIMTbqFGjkhcNJQYMGHDuuefmFuDB Bx/co0eP7AE96h155JHN/+5hhOTI++67b9KkSccee2zPnj2TEULa5T3znP3F R4wYkTuZXr16nX322a+//vq2j9zCu7QlwsMg+YSshu8hEPaEpn3++edb+L6+ qhXo1HzKAMSmzdVaVVXVu3fv0Egh/N5+++0WnvXd73630ZduNSycRqv1tdde S14ElCfsfPXVV/NGCGM2+rNCu86ePTs5Zv/99294wGGHHdb8bxF+3+TI8847 b5dddmk4wtixY/NO+c53vtPoZA444IDly5dvy8gtv0tboplqbS3VCgC0ozZX a5B9zjOk1z333LPVp+BuvfXW5Pjjjz/+wQcfnDdv3u9///vwdbLzlltuyT24 YbWG8UMhF9Q/SzlixIhp06ZNnz595MiRybORBx10UO4ERo0alQx79NFH33vv vSF3H3744ezVtkcccURy2JIlS954443jjjsu7AwF+0a9rb71QbYtC+qf2Lzv vvteq3fttdcmz9z27du3vLw8e/x1112XHPypT30qZGf4xZ944okLL7ww2XnM McdkP9+htSO36i5tCdUKAMRpW6p1+fLlhx9+eLayQj0ee+yxQ4cO/eMf/9jw sz5XrlyZfH59yMgNGzZk95eUlISGTFo090MKGlbrJZdckvyg3/zmN7kj33// /cn+66+/PtmzYsWKZM9+++0Xfm7uwRdccEFy09NPP53d2drrWrNt2bt37xde eCH3posuuii5KfuWUNnJHHjggWvWrMk9+Hvf+15yU/bl+a0aubV3aUuoVgAg TttSrZn6cP3a176WFGauPn36hHx95513skc+8cQTyU1/+9vf8gYJlZvcNGPG jOzOhtX6qU99qqD+LbYaTuMTn/hEuOmUU07JGzB8kXfkunXrRowYEfr2ueee y+5sc7V+8YtfzLvpf//3f5ObstegPvbYY8mep556Ku/gysrK5H0Yzj777DaM 3Nq7tCVUKwAQp22s1kRIwfvuu+/UU0/NfU1QcOSRR2YveR05cmSy89FHH/3T lsaOHZvc9Itf/CI7Zl61hsBLjvnkJz/5pwaSl7fvu+++ycHDhw9PDm7hu8W2 uVpDAOfd9Prrryc3ZS9ADYWc7An3UsOhvvSlLxXUX97QhpFbe5e2hGoFAOLU LtWaa86cOdddd92uu+6aVNPgwYOT/V/+8pcLtubiiy/OjpNXrdm3LGheEslf +MIXCupfdN/CObe5Wu++++68mxYvXpzXlqecckpB/bUKjQ511VVX5QZ2q0Zu 7V3aEqoVAIhTu1dr4q233tpnn31CNe24444VFXVvcJeUZHBsY5L9o0aNyo6Q V63Tp0/Pllijpw8YMCB8kVTrqaeeGvb079+/hbPdDtXaVEJvS7W29i5tCdUK AMSpzdW6fv36FStW5L3WKVfyoZ/BtGnTst/27NkzidityqvWjRs3Ju8VMHz4 8K2em/2n81WrVrXkZ3VotWbfQKDRKwSSwG54hUBLRm7tXdoSqhUAiFObqzV5 /XuPHj2a+lCtiy++OKmsuXPnhm8fffTR3IjdqoavxjrmmGPCnv/4j//Y6rmT Jk1KftYjjzySd1N5efnPf/7zO+64Y86cOdmdSbUecMABLZlYppVtmX1hVKte jdWSkVt7l7ZE+1ZrVrvMDQDoztpcrVOnTk2S6YILLmj4EaJhtOQKgV122SV5 f9GlS5cmx+e+PWniySef/Gi9kGHZnQ2rNftG/XnvfBXmf/rpp4fTs28vsGrV qsLCwoL612flvod/kH2X1L/85S/Znck/4gcrVqxoye/eqrYME0j2HHjggXmv Dmvmna9aMnJr79KW8FwrABCnbbmuNftmrR//+McfeeSRefPmlZWVzZ49+847 79x9992Tmy677LLs8ddcc02y87jjjgvlGX7i3Llzb7zxxg984ANhZzilpKQk e3DDal20aNEHP/jB5N/Ehw8f/uyzz4Y9Ic8+85nPJMNm3681GD16dLLzqKOO uvfee994441wZPYdX0Pm5f4i3//+95P9Z5xxxlNPPRUObv4Xb1VbZnLe0+DY Y4/91a9+9frrr4fJZD+66+ijj274KQMtHLlVd2lLqFYAIE7Zan3rrbdae27I 1IEDBxY0LdRg7scNhJ+V/XSqPKFRc5/8zDTxia6zZs3abbfdGh3hlFNOqays zD0426J59ttvvxdffDH3yKeffjr3gJZ/omsL2zL49re/3ehkBgwY0OgnurZw 5FbdpS0RHgaqFQCIUFKt5eXlbajWTP1lohdddNHee++d20uFhYWHHnro/fff 3/D4ELHXXHNNnz59sgf37Nnz7LPPfuWVV/KOTJ4tvOqqq/L2P//88yeeeGLu jzvggANC4+Ula1BdXT1q1Kj+/ftnj+zXr9+QIUOybyGb66GHHvrc5z6XHHb4 4Yc3/1uvXr06OfLee+/Nu2nZsmXJTePGjcvdH+7k6667Lkwg9xc/88wz58+f v40jt/wubYnwMCgrK1OtAEBsstW6aNGibRlnyZIljz32WAiq5557Lu8ay4ZC T4YfN3PmzAULFoSf3oYfV1JSMqdecXHxVn/W4sWLw88K1bfVYTds2LB27drW fgpqy2Un8+qrr4Y4bN+Rt/EuTSxcuDA8GFQrABCb9qpWuobwMFCtAECEQpxU V1dv3Lhx6dKl2/IcHV1ATU3NkiVLwoMhPCRUKwAQlWy1Llu2LHmLKrqtioqK 8JcX1QoARCip1k2bNq1cuXLNmjVpT4c0hQdAeBiEB4NqBQBiE+KkpqamsrKy uLh46dKlaU+HNIUHQHgYhAdDeEioVgAgNtm3bF20aFE7fqI9ncumTZsWLlzY Xm/WmlGtAEB7S6o19OqqVava9q6tdAFh6cMDIDwMVCsAEK2ampqqqqrS0tLF ixe7TqAbCoselj48AMLDIDwY2mVM1QoAtLvsa7KKi4sXLFjQkjfkp8tYvnx5 WPSw9O31OqyEagUAOkJyncDGjRvXrl371ltvzZs3r7S0NO1J0bHCEoeFDssd Fj0sfXtdG5BQrQBAB8mGa3Fx8ZIlS+bOnRuSZsWKFWVlZe31r8akLixlWNCw rGFxwxIvXrw4LHe7J2umvlqz2nFYAIBMfdIklwqUlpauXr06JE1om1mzZs2Y MWP69OnPP//81Hp/o1NJVi0sX1jEsJRhQcOyhsUNSxwWOrkwoN3/YiJWAYAO lVzjWllZWVFREZJm3bp177zzzsqVK1fUW758+TI6obBwyQqGpQwLGpY1LG5Y 4rDQ7Xgtay7VCgBsB9X1Nm/eHKpm06ZNIW/K31NGJ5RdvrCUYUHDsobFTVa5 gx5CqhUA2G6SCwbokjr6WmXVCgBA/FQrAADxU60AAMRPtQIAED/VCgBA/FQr AADxU60AAMRPtQIAED/VCgBA/FQrAADxU60AAMRPtQIAED/VCgBA/FQrAADx K8qR9lwAAKBxYhUAgPipVgAA4qdaAQCIn2oFACB+qhUAgPipVgAA4qdaAQCI n2oFACB+qhUAgPipVgCgy6utbftGJFQrANCFZeOz5r2tumbrW/Zg7RoP1QoA dEm5vRpCtKo6U1m/bdpct1U0sSW3JkeGU5KC1a4xUK0AQNeT7dXN9b0acrS8 KlNamVm/KVNSkVlXvxVvzKzN2cK3yf5wQDgsHBxOCSeG0zfntCtpUa0AQBeT TdakV5euz9z8bOaU8ZmjxmQ+emdLt3Dwl36X+e+/1Z2etKtwTZdqBQC6mGyy bqzKTPxn5v/ck/nIHW3fPnlP3SBhqGy4koqiHGnPBQBgWyVPh26uqXuCNNRm yM7Dt3kLg4ShwoBhWE+3pkWsAgBdSW39a68qqzOL1mU+fnfmsNvbZwtDLVxX N2x1TUurdcqUKT169Dj66KM7+DfuLlQrANBlZJ9oLa/K/OTZzKG3t+c26pm6 YVv4dOuiRYv233//goKCj33sY9vlV+/6VCsA0GUkV7RWVmc2bMqc/EDmkNva sp3+YGby/MzLKzPD/rLF/n//Td2wlS24unXu3LmHHHJIQT3V2l5UKwDQZSSX B1Rsrnsnq8PvyBx0a1u20KtZX/7d+/sPu71u2DB4MxcJVFZWjhgxolevXgXv Ua3tRbUCAF1GtlpXl2UO/FlbttHPbTHguQ9vcWsYtplqffPNNwcOHJjEas+e PQsLC1VrO1KtAECXkb2odVVZZsAtrd4+e3/dRwxkLS7JPyAMm720taGJEycm yXrggQdOmzZt8ODBqrUdqVYAoMvIVuvbGzIf/u9Wb39btMVoX38o/4AwbPPV 2r9//1tvvbW8vDx8q1qb99xzz40ePfr73//+TTfd9OSTT271eNUKAKRrwdJ1 T/79zbCFL7ZxqKRayyozKzZkPvTT1m1XPrXFUHdPb+SYMGwYvKlqDbFaUfH+ c7WqtSlVVVVnnHFGwZZOOOGEkpKSZs5SrQBAWsorqn724Izzb5iU3W79fzPC zjYPmK3W5eszHxzdiu2jd2xxbcCidXV7Gh4Whi1tulrzqNamXHnlleGe6dev 37Bhw6ZNm3bzzTcn7xJ23nnnNXOWagUA0pKXrNlwbfOASbWGsFy2PtP//26x feT2zFd/X/e/efuT7bHXthgnHNnoYctU6zarra3t27dvuGfGjh2b3fmHP/wh 7Nlxxx2rqpr8O4tqBQBSsWDpuobJmmxtvlQgt1r73fz+dvhtdU+fBusqMv8+ boubwnbhxC0G+fm0/AOym2rddsuXLz/iiCP69++fez1AdXX1TjvtFO6uN998 s6kTVSsAkIon//5mU9UabmrbmLnV2ucn72+jnn7/mBCun//V+zcdeuu7QZsI X4c9uefmbqq1g7z00kvhvurdu/fmzZubOka1AgCp6Ohq3fum97cfTtrisJdW ZA7+2bs33fH3LW76yoNbnJi3qdaOUFVV9bnPfS7cV+ecc04zh6lWaKGa2trZ 81dOmDIvbOGLmpb8gQVA0zr0CoHl6zN73rjF9sxbWxw5e0XdzjN+t8XO25/P Pytv82qsdlddXf31r3893FF9+vRZvXp1M0eqVmiJ4g0VI8ZOzf0TNXwbdqY9 L4DOreNejRXyco9RW2wH/Hddqeb69T+22LOwuO6YvLPyNtXavsrLy7/85S+H e2nXXXedOnVq8wcXNWH7TBU6hZra2rxkzYarZ1wBtkUHvfNVeVVdXu52Q/72 4Z/WXdTalNPGN3JK3haGbeZTBvKo1uatWbNm0KBBybOs06dP3+rxAhW2avb8 lU39G1a4Ke3ZAXR67f4pA8lnY31gZCPbZ+9rPFxvndr48Xlb85+NlUe1NiN5 J4Fw/xx66KFvvPFGS05RrbBVE6bMa6paw01pzw6A94WYrK7JbKzKrCzN7DKy 8e0bE/LPeqs4s9/oJo/P3cKwYfBq1bptQrIefPDB4c75zGc+s2bNmhaepVph q1QrQGeRrdZVZZndR2V2HtH4dsljW5x1ygNNHpm77X1T3bAtr9YTTzwxhNnA gQM76JftvM4666xwz3z605/euHFjy89SrbBVrhAA6CySat20ObN2Y+aon2d2 ur7JbdifM8Ub67bvP9bcYblbGDAMGwZvYbXSqKlTpxbU69GjR58GXn311aZO VK2wVV6NBdBZhD+Va2ozldWZkorM0Ccyva5rz+2Sx+uGDYOHH+GP/za79dZb C5o2d+7cpk5UrdAS3vkKoLMIPVlVnSmrzMx5u+69qnoOb58tDBUGDMOGwSVr KlQrtJBPGQDoFJKLBCrqLxK4e3qm53WZHsO3dQuDhKHCgBUuD0iPagUAupia 955ufXtD3cdd7Toys8Owtm/h9Dv+XjdU8kRrjWRNiWoFALqY5OnWyurMhk11 tTltSeZbj2QOviXTa3im8NqWbr2vzxx+a+bCiZkXltYNUlpZN6AnWlOkWgGA ricbrmWVmTXlmWXrM6+vyby8MvPSiszMZZkZS9/dXsjZsjv/sbzusHBwOCWc GE4vk6wRUK0AQJeUhGtVdd3FqKWVdVelri6r+5iAFRvqPph1WRNbuCkcEA4L BxdvrDsxnF4lWSOgWgGALizUZtKumzbXbSFBy6vqtrLKRrbkprBVbH73+KRX w0bqVCsA0OXV1L4bn63dvPYqHqoVAID4qVYAAOJXlCPtuQAAQOPEKgAA8VOt AADET7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADE T7UCABA/1QoAQPxUKwAA8VOtAADET7UCABC/ohxpzwUAABonVgEAiJ9qBQAg fqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoV AID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiF9RjrTnAgAAjROr AADET7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADE T7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPyKcqQ9FwAAaJxYBQAg fqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAANKyYcOGSy655KGHHtrq kaoVAIBU1NbWnnbaaQUFBUOHDt3qwaoVAIDtr6Sk5Pzzzy+op1oBAIjQ448/ /qEPfajgPaoVAIAI7bHHHiFWTzzxxGuuuUa1AgAQp5NPPvmRRx6pra296667 VCsAAJFTrZ1UTW3t7PkrJ0yZF7bwRfg27RkBAHQg1doZFW+oGDF26vk3TMpu 4duwM+15AQB0lFZVa6O2wyTJVVNbm5es2XD1jCsA0FV5rrXTmT1/ZcNkTbZw U9qzAwDoEKq105kwZV5T1RpuSnt2AAAdQrV2OqoVAOiGVGun4woBAKAbUq2d jldjAQDd0N133x2q9fLLL9/qkao1Ht75CgCgKao1Kj5lAACgUaoVAID4qVYA AOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfkU50p4LAAA0TqwC ABA/1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/ 1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA8SvKkfZcAACgcWIVAID4 qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYA AOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4FeVIey4A ANA4sQoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/ 1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADEryhH2nMBAIDG iVUAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qdY4 WZc4WZeYWZ04WZeYWR06F4/YOFmXOFmXmFmdOFmXmFkdOheP2DhZlzhZl5hZ nThZl5hZHToXj9g4WZc4WZeYWZ04WZeYWR06l/Z9xHbE4z/+MeOfYUeMGf8M O2LM+GfYWcaMf4YdMWb8M+yIMeOfYUeMGf8MO25M6Dj+O41ttM4yZvwz7Igx 459hZxkz/hl2xJjxz7Ajxox/hh0xZvwz7LgxoeP47zS20TrLmPHPsCPGjH+G nWXM+GfYEWPGP8OOGDP+GXbEmPHPsOPGhJYrAgBoV2nXDdTxUAQAIH6qFQCA +KlWAADip1oBAIifagUAIH6qFQCA+KlWAADip1oBAAAAAAAAAFLx8MMPX3jh hRs3bkx7Irxr3bp1Y8eOvfLKK3/4wx/+4he/WLFiRdoz4l3FxcV333330KFD b7755meffXbz5s1pz4h8FRUVV1999S233JL2RKhTXl7+YGNWrVqV9tSAzuf5 55/fcccdCwoKwv8dpz0X6kyePHmfffYpyLHbbrv97ne/S3teZJ555pm99947 d2m+8IUvlJWVpT0vthD+ThGW5mMf+1jaE6HOX//614LGTJkyJe2pAZ3MU089 1a9fv+TPENUag+XLl++1115JDj388MNPPPHEWWedFb7daaed/vnPf6Y9u25t 7dq1ffr0CWtx5plnhv/DffDBB48++ujw7bnnnpv21Hjfn/70p8LCQtUajzvu uCMsx7/8y79cvqU33ngj7akBnUZo1G9+85u5f/NVrTG46667wlp8+MMfrq2t ze486qijws6RI0emODHuv//+sAr7779/VVVVsue5554Le/bYYw/XCURizZo1 H/zgB5M/0FRrJC644IKwHOPHj097IkAndvvtt4c/SXbZZZdf/vKXyb9Hq9YY XHfddSFZr7/++tydN954Y1ig8847L61ZEUydOvWqq676/e9/n92zadOmwnr+ 24nEkCFDwn8pV1xxhWqNxzHHHBOW49VXX017IkAnNm7cuEsvvXTZsmXha9Ua uTPOOCMs0E9+8pO0J8L7amtrb7rpprAugwYNSnsu1PnVr34VluO0006bN2+e ao1EZWVlr169PvCBD0ycOPGiiy4KqxP+6jdjxoy05wV0Yqo1Zk8++WRYnZ49 e7788stpz4U6q1ev/sY3vpFcEL7//vu/+OKLac+IzIIFC3bddde+ffuuWrVq /vz5qjUSs2fPbvg6rB49evg7ONBmqjVaL7zwQvj/4rA6edcMkKLc10R/4hOf 8LeJ1FVXVx933HFhOf74xz+Gb1VrPMaNGxfWorCw8Nprr501a9ZLL71UVFSU 7Hn66afTnh3QKanWOE2ePDlJ1rPOOsvrfeJRXl6+ePHiZ5555txzz02eBg// d5z2pLq1kSNHhoX4zne+k3yrWuOxaNGi8ePHhz/Kcneec845ybUcac0K6NRU a4TGjRsXciisy7e+9S3JGq1BgwaFNRo+fHjaE+m+wl8Zwn8pO+ywwx/+8Ic/ 1/vlL3+ZXLwRvp45c2baEyRfiNiwQAcffHDaEwE6JdUam9tvvz15z0nvdhWP 0tLSOXPmlJSU5O685557vCArXePHj2/0TewTxx9/fNoT7Naqq6tXrlyZ90kc U6dODUszYMCAtGYFdGqqNSqjR48Oy9GrV6/f/va3ac+F933lK18J6/Kzn/0s d2f4Nuw89dRT05oVM2fOvHRLyZUbe+yxR/j6jjvuSHuC3dppp50W1uK73/1u 7s7kcwdOPvnktGYFdGqqNR4vvfRSjx49CgsLJ06cmPZc2MKYMWOSD4BYs2ZN smfp0qX77rtv2HnnnXemOzdyua41HrfddltYi5133jl5l8Vg8eLFyftv+JRq oG1UazxOOumk5F82+zTwzW9+M+3ZdWubNm365Cc/GZZm1113Pf/884cOHZp8 9u7xxx/vwuOoqNZ4lJeXH3nkkckn2px77rmXXnpp9hOrcz/+D6Dl+vbtG/4Y ybtgj1TstttuTV2hN2TIkLRn192tXLky/D9vcslxchXH5ZdfXlpamva82MLr r78eVifEUtoToc6yZcu+9rWvZf+r2X333a+44orq6uq05wUAXV/I1BdffPGV V16pqqpKey7QOZSVlc2ZM2f+/PmeYgUAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAgA71/wFHE2S6 "], {{0, 236.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 236.}, PlotRange->{{0, 457.}, {0, 236.}}]], "Output", TaggingRules->{}, CellChangeTimes->{3.764501095509839*^9}, CellLabel->"Out[31]=", CellID->158085537] }, Open ]], Cell[TextData[{ "The output is a ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["DynamicModule", "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/DynamicModule"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], ":" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.764501167261594*^9, 3.7645012055444717`*^9}, { 3.7652980489494996`*^9, 3.7652980489494996`*^9}}, CellID->15958838], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Head", "[", "%", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.763970061092044*^9, 3.7639701258125563`*^9}, { 3.7639702381353445`*^9, 3.763970268612878*^9}, {3.7645010902921853`*^9, 3.764501092432348*^9}}, CellLabel->"In[32]:=", CellID->278887032], Cell[BoxData["DynamicModule"], "Output", TaggingRules->{}, CellChangeTimes->{3.7645010966189537`*^9}, CellLabel->"Out[32]=", CellID->93213703] }, Open ]], Cell[TextData[{ "Therefore, ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Show", "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/Show"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], " cannot combine it with other graphics:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.764501211042593*^9, 3.7645012263112583`*^9}, { 3.7652980526798725`*^9, 3.7652980526798725`*^9}}, CellID->3827674], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Quiet", "@", RowBox[{"Show", "[", RowBox[{"%%", ",", RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"Abs", "@", RowBox[{"Sin", "[", RowBox[{"Range", "[", "5", "]"}], "]"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Red"}]}], "]"}]}], "]"}]}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.763970061092044*^9, 3.7639701258125563`*^9}, { 3.7639702381353445`*^9, 3.763970268612878*^9}, {3.7645010902921853`*^9, 3.764501092432348*^9}}, CellLabel->"In[33]:=", CellID->185872935], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJztnQl8jNf6xyeLaiQqYq01bVRbRUorSim6aNoqrqU3llJuXX9FWpeKtdZo UmKnyq2ScF1VXCKUVFNuIojagwpCEFs2icgiyfx/mec6ffPOzJvZMpNMnu/n 5ZN53nOe98y87znnd96zPTP88z5/d1SpVOOfxH99hgV0+8c/hk3u644P/f3H jxrpP+LT9/wnjBg54h+vDXeCcTH+bUP44r/VDMMwDMMwDMMwDMMwDMMwDMMw DMMwDMMwDMMwDMMwlYDY2NiNWvzyyy+2ThfDMAzDMNaga9euKi06depk63Qx DMMwDGMN3N2Lp1t+/vnnX0hYvny5rdPFMAxjBJmZmaNHj968eXOpIfPz80ND Q8ePHz916tSIiIicnBwrJI9hyi2JiYmQAV5eXrZOCMMwjOkUFRX17NkTpZm/ v79ySNT7rVu3lr0CzcjIsE46GaYcsn37dmSEjz76yNYJYRiGMRHU40OGDKFq vVQlEBAQQLX/oUOHDhw48Oqrr+Jj7969rZNUhimHzJgxA7lg3LhxM2fO7NOn z9ChQ5cvX56bm6sc6+8arJNChmEYBcLDwxs2bCga+MpK4OzZs05OTi4uLvfv 3ycLVISbm5ujo2NiYqI1kssw5Y9evXppDxds0aLFlStXFGKxDGAYppxQo0YN lFpvvvnm5MmTS1UC8+fPR5gBAwZIjYMHD4Zx3rx5ZZxShimnNGnSBFmgZcuW 27Ztu3Tp0pYtW8jStWvXoqIifbFYCTClUsTYNbZ+vv6ke/fuP/30E5K0bNmy UpXAwIEDEWbRokVS49KlS7XlAcNUHnbv3r1y5crU1FRhOXPmjLOzM/LF8ePH 9cViJcAoICqLwscUMHaBuKHlUA8AQ5SAr68vwoSFhUmNGzZsgPHtt98u4wQy TEXCx8cH+SI0NFRfgL9LsGbCmHKOVACg4sjPz8/TkPuYHKYCIm4f3U3cVqEK ypUeMEQJdO7cGWF27twpNUZERMDYsWPHMk4gw5RTsrKykpOTZUZoY+SLtWvX 6ovFAsA+GDIrAoelvAkZ8OjRI9Qa2dnZGRkZKSkpd+/evf2YW7duJTMVitsS cCtTU1NxW3FzcYtxo8uVGDBECbzzzjsIs2PHDqmRplB16dKlbNPHMOWS48eP 4/mvUqVKUlKSMELz16tXD/ZDhw7pi8hKwD6woBKg6gBNRTw/kJeoL6ABMjMz 8bGcVBOM+eD+QgDgtuLm4hbjRuP+wlhOxIAhSmDo0KEI88MPP0iN33//PYw9 e/bUF4vfgjJ2DLJwzZo1kQXGjBkjjJMmTYLlhRdegODXF5GzAyOFXgVQNYEG 471791BB2DpRTNmCW4wbjduNm06dBTYXA4YoAZpfEBQUJDV+/fXXMI4aNUpf LC7xGPtm3bp1NHOwZcuWEydO7NatG/52cXFR3oGItTEjEG8DUCOgnZiWlmbr FDHWA7cbN53EgM3fDBiiBMLCwhCmc+fOUuPrr78OIwpDfbG4uGPsHmSNBg0a kB5wcHDw9vY+ceKEchTOF4yAXgighZiens4yoBKCm45bjwfA5q8FdCoBpC06 OvrIkSP0EaKlXr16KOgOHDhAlqioKHxs1KiRWGtIGy7xmMoA8u+1a9eOHTum kBekcL5gCDFEMCsr6+7du7ZODmMbcOvxAIgBhLZKhk4lEB4eDqO7u7uwBAcH w1KtWrWRGlxcXPARwRQ881vQ8otKVXwwtoAzBUNQv0BOTg7qgvz8fFsnh7EN uPV37tzBY0B9BLZKxooVK1Cnf/HFF1Ljrl27YPTw8JAaFyxY4OrqSi9CIQkC AwOVPXOJV35hJWA7WCEz6scjBNASzMzM5BcClRw8AHgM8DDYfLSAgRQWFp4/ f/7UqVPZ2dmlBubijmG04XzBqB93DaA9mJqaamC/EmOv4AHAY4CHweajBcoC LvGYSsXu3bvHjx9/+vRp5WCcLxi1pGvg1q1bpe5fWSrmexCsXr16+fLlhw8f tpRDplRw+/AY2LyDoIyoGG9B+T05YwkSExOfeuoplUq1efNm5ZAVIFMwZY9Q Ajdv3kRL0AQPf/zxx9SpU9977726des6ODg899xzfn5+S5YsMXM5gieffBKP 8YQJE8xxwhgFHgA8BrZSAvHx8YGBgaNHj161ahUeqlLDP3z48IcffpigAX/g o3L4ilHisRJgzAYZmVbkNlAJVIyswZQlNEggOztbukal4YSHh9N+str4+Phc v37d5IRZUwmgHpk0adLChQutcK1yDh4DPAw0VMCa1w0NDXVychIPT5UqVTZt 2qQQ/uzZs56entLn7ZlnnoFRIQoXd0wlYd68eSJf8DsBxhCEErh69aqxcdev X+/g4EDP21tvvTVlypRly5ahTYcymYx16tSRbpFpFNZUArRJR7NmzaxwrXIO HgPrK4Hk5GR3d3fU/nh+zpw5ExwcDFXg6OiosJVq69atccs6dOiwbdu2//zn P7SsUKtWrRSSzSUeUxk4duwYslLz5s179uzJ7wQYAxFKIDEx0aiIBQUFtJhV 1apV//3vf0tPPXjwYPDgwSQGli9fblrCWAnYBDwG1lcCfn5++P2hJIVl2rRp sAwfPlxn+CtXruAspMLly5fJgmTjI4wK3Qpc4jF2DzLv888/7+zsfOTIkQED BvA7AcZASAmg7jZWCVy6dInq+l69emmfzcrKou0wfHx8tM8WFhZeu3YNzypa oFAUOv0rK4HMzMxTp06dPHkyIyNDOZ241o0bN44ePaowR9J8JYDvGxcXV+o0 TJEYVFil9msb67nUn9QQ8BjgYbCmEkDKq1evjt//woULwpiQkECrBOj8LufO nSMJKiYP5ufn0/Mm1iHUhks8xu4ZNWoUcsGMGTPwNysBxnBICaC6Ec0rA/n9 999JCXz55Zc6Axw+fHj79u379u2TGnGtWbNm1alTR3Rj1apVa+rUqdpbZelT AqgWu3fvLu0g7tatm84pBqhEZs+eXb9+fRGySZMmgwYNktaqzz77rLR72knD Sy+9pPzd4YFCfvfddxEREe3atYMIJw8NGzaUvSERXxzZU5qYKlWq9O/f/+LF i+Z7NvAnNQQ8BrTSoNWUAH4BpLlGjRoyu4eHh0Ibv2nTpjg7b9482jhpyZIl +Fi7dm2FUa+WL/F4dB9TnqAFuFBoUN5nJcAYjslKAK0wWuIVlemtW7cMjPV/ //d/Kl1oP406lcD58+fd3d21o8OIdqLMA3zqvBb0gNiVo1GjRtoBnnvuOeVv ge9LIT/++GO0W7U9rFmzRhblb3/7m87EoEa7efOmOZ4N/0kNwfpKACoOqfXy 8pLZmzVrBnt0dLTOWAcPHsR9RACIK7qJ0BL/+te/FC7ESoCxY+7cuVO3bl0U GuLdmuFKgHfrZkxWAkC0zVGdrVy5stQ32CEhIRS+Y8eOGzduxBO7adMm/E3G +fPnSwNrKwH4h+pQaVrTaF/HxsaiEpk5cya1mp955hlpAmbPnk1uW7duvWrV KkiILVu2iNELLVq0oGBJSUkJCQmvvfYajKhQEjSUOuVB1NcqTQMc7ffzGqZM mUJvGNBCl656N336dAr86quvoirHF4d6//TTT8no7e0t1nQy1rNRP6khWF8J 7N+/H0lt27atzI6mDeyyd0qCvXv3klQQwINyDxcXdIwd07dvX+SCPn367HtM ly5dYJk8eTL+VthXjvOFNRkyKwKHrVOhA3OUABqzzZs3F0UxamSU3v7+/jt2 7NDev+D27ds0pgtVc2ZmprBnZGSgXqb6XbowkbYSGD16NF1ItvPs6tWryf7V V1+RJTk5mSwNGjTAdaWBhw4dSqd+/fVXYTR2nICor11cXGQd0yNGjKBTx44d kyXG09MzJSVFGpg69UBwcLAJno39SQ3B+kogJiYGSW3Tpo3MDoEEe1RUlHaU P/74g+Tf1KlTb9y4AeUGreXg4FC9enWFiYRc4jF2jJeXl0o/+hS1mvOFdbFL JaDWiIG//vWvVGtLqV27NiTBvXv3REjqwwL//e9/ZU6gHOjU0aNHhVFbCaBB rdJMV9ROBuoRnHr//fdlDvGHLGR6evqMGTOgGQ4ePCiMJiuB9957T3aKWrhA 9Onv3LmTLD///LMscF5eHs2/6N+/vwmejf1JDcH6SgANeZXmtZLM3rhxY9h1 TiSkjQhlMwvGjh0rVYPa8FtQxo6ZM2fO2JLQS7Pu3bvjb+U5NdZMJ1M+MVMJ EKhev/vuux49ekjHrYGXXnpJDCGYOXMmGbdv3763JGvWrKFT3377rfApUwKo NClM27Zt92rRsGFDnKpXrx4FpjlowMDVDExWAjRGVwqNf1NJOvRRN5EFv5K2 qw8++ECl6dowwbOxP6khWF8J5ObmIp2urq7SwX4FBQU0TOLOnTvaUbp164ZT W7ZskRp//fVXlWa4lL4LcYnHVCqMGidgnSQx5RaLKAEpp06dmj59upubG9VE Xbt2JfuHH36oKo2RI0cKPzIlIKYqKEPCw9fXV6UZbG9gmk1WAitWrJCdunbt mqy+fv/991WafgqdrgICAqSixSjPxv6khmB9JaB+/GJz//79whIZGanS9Kfo DN+7d2+cla0JuXXrVhg7d+6s7ypc3DGVCp47wBiOxZUAceXKlVq1auE5fOKJ J3JyctSPa2eVptWmDdlnz54tPMiUAI0w1+dBpZkRgD9ICfTo0UOlGVVuYGqt oAT0yRJzlICxP6kh2EQJLFq0CKnF16HhJfifBqOGhIRQgPT09OjoaDFwYsGC BaQTxBLZDx48eOWVV2CcNm2avqtwicdUKgYOHIgc8eOPPyoH43zBqM1QAvfv 309OTpaNx5MydepUqqdiY2PFR2dnZxIGpSJTAg8fPqRBYgpFvUC8Ntf5blmb MlUCYuKAzt4BEi3avQOGeDb2JzUEmygBXLFu3bokXSCNSMb4+PiI/oLw8HCV Zq4ofczLy6PVhiH2RowYMXHiRFrg2svLC670XYXfgloGnjtpX3CmYNRmKAEa 9+7k5KRv6tbIkSOp5qINsrdv3y4VBqWiPWKQBpO/++67pcaNiIiga/3000+y U9nZ2UuXLl28ePGpU6eEkZSA9qA1fRhVX4vBe0aNGDTEs7E/qSHYRAmoNeMG 27dvL177QAZIxzjR2EgPDw9hSUlJGTZsmFgVytHR0c/PT3ldCy7xLAMrAfuC FTKjNkMJREdHUyE8dOhQ7SVh4Y16B6pVq0bz369fv07hpdPniT179rygAVWb MGorAbE4j2wWIdLfq1cvRBfTCu7cuUNbI9WrV0+6bg8Qs/gjIyOFkV7gg+Tk ZEO+u1H1NRJAFk9PT9kIRoVZhIZ4NvYnNQRbKQEiLS0tLi7O8G0xc3Nzz2gw 5K0IF3cMow3nC0Zt3jgBsZjAyy+/jNb3hQsXHjx4cOLEiSVLljz11FN06vPP PxfhJ0+eTMbXXnsNtTmuePr06Tlz5ri6usKIKNJNBLSVwNWrV59++ml6Hz5t 2rQDBw7AgiqP9qFTlZxBFhQURMZWrVqtWrUqISEBIcWKBKg6pV/ks88+I3vv 3r3Rckdg5S9uVH2tlsxlaNeu3ffff3/x4kUkRiyB2Lp1a+2VhQz0bNRPagi2 VQJlCpd4TGXg119/nTlzpr+/f1hYmCH7wnO+YNQSJXDlyhVj46Lqb9mypUo/ qGGlSwzhWmKVPxmo96WNdLWe1YaPHz9Ou9Vog3Z9Xl6eNLCo32U0aNAADU9p SJqAJjB8tWED62swfPhwnYlp0qSJztWGDfRs1E9qCHgMbKUE4uPjAwMDodag 3BSmP0uJjo5esGABosyfP79UKctvQRn7pqCgoH///tJCwMXFJTw8XDkWZwpG LdmV2AQloNZ0u48YMYI2ixE4ODg0a9Zs9erV2uEhDNCMrV27tgiMBj6eXu2l 4ahVGxAQILPHxMS8+eab0ss1bdoU9aZMBqh17UBUt27dPn366OxN3rx58xtv vEHBmjdvrvyt7969SyFRZ8lO3bhxg06tXbtWasePPH36dBoXJ7543759ZVWe CZ4N/0kNAY+BlfciJEJDQ6VbQVWpUmXTpk0K4XNycoYNGyZ9DKpWrbp+/XqF KFziMfbNrFmzVJphtIsWLYqNjUUzikqD8+fPK8RihcyoJUrg6tWr5vhJSkra uXMnKqmDBw/K+qy1QR2Nyx07duzSpUumbZmXkZFxSoPCetriWmhN41qoSUt1 m5mZmZqaauwKvYYjEnPu3DlUuJb1bOZPSiQmJuJhsLISSE5Odnd3R+2/bNmy M2fOBAcHQxU4OjrqXGCQGD9+PEq5xo0bb9iw4cCBAzRh6sknn1TYeoCLO8aO QYalBdZWrlwpjNRoUt5/hPMFo7acEmDsAzwG1lcCfn5+KK+mTJkiLDSyQrae sADyz83NDY2dmJgYYaRtpBYvXqzvKlziMRWLopIoB87JyVm4cOHIkSMfPnwo jMhTqpKDtbThfMGoNQ8bmpN4eK5fv25OW5KxAwoLC5OSkvAw4JGwmhLARWns h9hNFSQkJKg0E0+0p6WoH69ENGrUKKnx/Pnz+/btU3jzw29BKzSG14l2g2w/ FwMHzwiQlz09PRFx9+7dCsE4UzBqiRJAESrd7paphKBZAUFoZSVA+ynUqFFD ZqfBJzpLP5p9uX379rS0tP/85z9z5szZvHmzbJ9HbbjEq7hQZ5Bg7Nixtk6R NahSpcqSJUtOPsbwltr69es7dOhAG5WOGTNGOSIrZEb9WAnk5ubevn271LKU sW/wAOAxwMNgTSVA60h7eXnJ7LSTWnR0tHYU2nBh+fLlNWvWFLVDvXr1FLZe VbMSqMjgsRQV4htvvDF69Ghbp8gaQAkoN+f10bVrV5EvgoKCtPeIl8L5glFr lEBhYWFeXh6aV4ZMPmXsGDwAeAzwMOCRsJoSoN2W27ZtK7PTmsM6K3cEplLO 09NzxYoVoaGhXbp0oRcLCmtDcYlnH/Tu3ZuVgDJXr15NSkpauHAh9Q707dtX ITDv1s0QYkkBPD8WXMGeqVjk5uYmJiZafzGBmJgYFFZt2rSR2Wlx6aioKO0o L774Is0JFW+xIF1o64GJEyfquxCXePYBKwHDQXSaYKswU4mzg5QhsyJw2DoV toGUADTAnTt3TFtVgLEDcOvxAOAxsLISgPxQ6dr0oXHjxrDrnEhI+0TI1pqg XR19fX31XYhLPPuAlYBOaLivbBURGGlBFQU/nC+kVGYloNY8MPn5+WgPXrt2 jfsIKiG46bj1eADwGIgdAK1Dbm4uSipXV1fpdQsKCqpVq6bSs5vk0KFDcWrm zJlSIzV/OnbsqO9CXOLZB6wEdHLq1Ck8/zVr1pSOD8Tf7u7usB87dkxfRM4X jECMG0xLS7t06ZIhi/AwdsPNmzdx03HrrTxWUODl5YXCav/+/cISGRlJwwB0 hqdNJXr06CE1Llu2DMZ//OMf+q7CJZ59wEpAJ8i2tISp2M5M/XjjctgVpg9w fxkjhfoIHj58mJqaeuXKlQsXLihs9c7YB7jFuNG43bjpuPW22niI1gfw9fWl Qc74v3v37rCEhIRQgPT09Ojo6CNHjtDHlJQUNzc3BweHrVu3CkuTJk1oaqG+ q3CJZx+wEtDHjz/+SCNpX3755UmTJtECg8gmERFKr7s5UzAyhBhA8zApKen0 6dOoJpKTkx88eGDlN8ZM2YFbiRuK24qbi1t87do13G4bygC1RpBQc6Zdu3YB AQE0a8DHx0c8deHh4bC4u7uLKHPnzqWhUH379v3yyy9pUIGfn5/CV+ASzz5g JaDA5s2bac1hokWLFr/99ptyFM4XjDYoe6mbAIXz3bt3UU2gvjh+/PjRo0cP Hz4cExMTreG/TIWC7hpuH24ibiVuKG4rbi5uMW40dQrYVuwlJia2b99elGCQ AdI1hXbt2gWjh4eHNMq6devq1KlD4WvVqjV8+HDtXaikcIlnH1hWCZw9e9Zb w7lz5yzl01KYNncAYhi5CZkduduQ8JwvGJ3QmAEUqjk5Oagm0tPT7927d/v2 7WQNN2/evMFUQHDj6A7iVuKG4rbi5uIW40bbZGyATtLS0uLi4pKSkgyPcvXq VRTmhsgYLvHsA8OVABRvSEjIyJEjhw0btmTJEohh7VnSMJKYVBhTZyvMn0Vo CNxrxihQoOHRo0eoKdBmRA7KfswDpgIibh9uJW4obituLt1lWz9rVoKLO/vA ECWQmprav39/BwcHVUk8PT2lA1PVrAQ4XzAGQJ0FjF1S3sZ+xMfHBwYGopBf tWqVUZutQNtMmjRJeetVNZd49kKpSgDPNo04pZEk3bp1Gzx4sLe3t7OzM42g W7dunQjMSoDzBcMw5YTQ0FAnJyfRdkMZuGnTJgPj+vv7I8qLL76oHIzfgtoH pSoBWlkC4MGQbtF78eLFLl26PPfcc+np6cJof0rg4MGDQUFBn3322dy5c/fs 2VNqeM4UDMOUB5KTk93d3VHuLVu27MyZM8HBwVAFjo6OOhcYlLF37156CWyI ErBQehlbUqoSoEn0eCq0N1ctKirKyMiQWoQS+P3338ny6NGjuLg4yIaC0jrO Hjx4cPToUYQso9drxiqB/Px8/DiyDpFu3brJvrIMVsgMw5QH/Pz8UGRNmTJF WKZNmwbL8OHDlSOmpKQ8/fTTVOKxEqgklKoEJk2aRI9EYmJiqd6EEoiPj0e1 3rNnz6eeeoosLi4u33zzjc7BtDt27GjRogVt+6vSrJDZr1+/mzdvigBbt26t oUG6fvvly5dPnjx57949YQkLC0OYOnXq6Fz5x1glMHHiRFpHCFooNjZ23rx5 jRo1guXjjz9WiMX5gmEYm4P2VPXq1VFeXbhwQRgTEhJgqVatmnK7rE+fPgj2 5ZdfshKoPJSqBLZt20YVdNu2bfEgKXsTSmD27NlPPvkk/nB2dkYVLNrUy5Yt k0WBQBVnPTw8nnjiCfobdfrPP/9MYU6cOEFGaScXbZI1ZswYYRk1ahQsr776 qs60GbvGIE2qXbNmjTBCkMCCFCpsTMz5gmEYm3Px4kUqRWV2lLGwKwwd/P77 7xEAjThICB4nUHkwZMRgp06dqCJGJYgWcVxcnL7AQgmA+vXr//vf/36kAXKC BGrDhg2l4X/44QcK3KFDB9KueXl5GzdudHNzIw9paWmUBrKMGzeOIt68eZMi ent7C2+vvPKKTBtIMUoJwH+LFi2QAGlfAJJRtWpVXOLy5cv6InKmYBjG5hw+ fBgllZeXl8zerFkz2FFQ64x16dIllLRoBN25cwdqgd8JVB4MmUWYkpLywQcf SLvLX3/9dTSQtV/1CyXQqlWrW7duSU+JXgaxDdb9+/dr1qxJD5tsGatffvmF AqOZTxZa7BeahD5u3rwZH2kADFXWOTk59PJhw4YNOr+F+XMHTp48Sd0cvO8A wzDlmf3799OLXJmd1hzet2+fdhS0dF577TWc3bFjBz6yEqhUGL6yUGRk5Dvv vCPVAy1btkTlKA0jlEBsbKwsupiDIF4p/Pbbb2RBta59ubfeegunmjdvTh9p rIvo4Ro7diw+fvrpp/ifNgIgDQz0dWGYqQTy8/PfeOMNlWYVboVgnC8YhrE5 MTExKKzatGkjs3t7e8MeFRWlHWXmzJk49be//Y0+shKoVBi72vDZs2dHjBhB YwCogXzixAlxVmEW4e+//06nxNL9S5cuJYvs7QExa9YsnEKTn6YuorqnwKQ9 8ITXrl17586dsEyaNEl4g1Ffys1RApAfAwYMIP/Kyw5zvmAYxuYkJiaivGra tKnMTpsKaU8khMXZ2Rnl7datW/dp+Oc//4mQjRo1wt/K+7ALLP4tGKth2r4D t2/fHjx4MFXNaCkLu4ISoFfrUiUwYcIEsui8BA1cAdAeas06hzS/dfXq1ZmZ mU5OTu++++7169epqwIBKD0ffPCBvjSbrASys7M//PBDOHdzc9PXvyaoiNlh yKwIHLZOBcMwFiM3N1elmYclnZSNFk21atWkXbSCsLAwlX46duyo70IVscRj tDFnByLUxaqSY+mNUgIhISFkkc4EFAQGBqo06xig3ifLCy+8AAsePGhU/DFz 5ky1RuJWrVoVjz2dnTNnjr7UmqYEUlJSfHx86G3A4cOHSw1fERUyKwGGsT+8 vLxQcEkXhI+MjFRpVonXDowSe2xJBg0apNLMPsDfixcv1neVClTQMQoYogT0 7ag1e/ZsqspRXZLFKCVAjyUIDw/Xdt6jRw+cevbZZ4Vl2LBhKs0kQeo4QHQY 6aV9VFQULapJRp2YoARoBgHcNmvWrNQZlATnC4ZhLAIK3tjY2AMHDihMW1Zg 0aJFKLt8fX0pOv6ndePRBKMA6enpKLGPHDmiMzqPE6hUlKoExo0b165dO+ny FASeUhrP36RJE2E0Sgmkpqa6urqqNANcZesKiuF/Q4cOFcbVq1erNCMT3n33 XUdHR3pXsGLFChiHDBlCLxDu37+v74sYqwQgA6BDqPdBSJ1S4XzBMIz5oEik kfzgvffeM8FDVlZW3bp1ER0FeEBAAM0a8PHxEYUtmmCwuLu764xuuBLgQs8O UFYCe/fupUcR9e+MGTMOHjz48OFDaAA8JAMHDqRTEyZMEOGNUgJgyZIlZETl TuMG4Rz1de3atWGsWbOmdDDh2bNnRb/Vyy+/TMbTp08LI9rvCt/UWCXQr18/ lWahA+luC6XCmYJhGPNBYSvtqdfu2TeExMTE9u3bCyeQAdI1hXbt2qXSrOem My6tTfTSSy8pX4JLPPug1HcC3333HS0KRDg5OYmJA1RRSpcCMFYJQJ326tVL eEMbHAKV/sZVtmzZIvWAwDVq1KCzn332mTCKKMrraRulBMQXwfetrcW5c+f0 RWSFzDCM+dy7d4/WMSN++uknk12lpaXFxcUlJSVZMHkCLu7sA0PGCUBYDho0 iF6VC+rUqbNw4ULZikCxsbF0Fk11mROdSoBYt25dgwYNpGLjrbfegiLVTgmN UQQbN24Uxvfff5+Mq1evVvgWRikBMZpRJ9rfTsD5gmEYi7BmzRpaNxWsXLnS 1snRDZd49oFRcwfS09OjoqJQlScnJ1s8JfAZExNz9OhRo97GG475awwaAr8T YBjGUty9e5fGQu/du9c0D/Hx8YGBgSjkV61apbDdgACFPBTIxIkTx40b9+23 35Za1HOJZx+YM4uwYmE1JVDWl2AYppLw3XffqTQztW/fvm1C9NDQUBISBMpA 6SZu2qCErFWrlvT9Z/Xq1fWt305wiWcfsBKwLJwvGIaxCJcvX27atCmqY9OK aDTn3d3dUe4tW7bszJkzwcHBtFGL9gKDxM2bN2kjGF9f3y1btuzatYtGTVet WjU+Pl7fVbjEsw9YCRhCZmYmfiWd+yPI4HzBMIz5rFixgprn3t7ehs9iluLn 54foU6ZMERbavUXfyGoIBpxt3LixdAGZVq1aqR4v46YTLvHsA1YCpYJ80bNn T2QHf3//UgNzrxnDMGaCMqdp06ZojM+ZM8e0ZYUKCwtpzpd0KZiEhASVZB83 GdOnT4cM+Oqrr6RGJABRPv74Y30X4hLPPmAloExGRgYtW2S4EjApdQzDMH8S ERGhMFu5VGg1gBo1asjsHh4esBsydJBABYHwgYGB+gJwiWcfsBJQIDw8vGHD hmLwDCsBhmEqBLRMq5eXl8zerFkz2EvdSY3Ys2cPAjs7O585c0ZfGC7x7ANW AgrQQkZvvvnm5MmTWQkwDFNR2L9/v0qzkLvMTmsO79u3r1QPR44ccXNzQ2BZ f4EMLvHsA1YCCnTv3v2nn34qKiqisTQ8ToCp0BQVmX4wFYuYmBgUWW3atJHZ vb29VZot25Sjo6gkGdCvX79Hjx4phKyIu68y2rASMASjlIBpl2CYskNU6IWP j4LC0g8RmPVAhSMxMRFFVtOmTWX2xo0bw65vIiGxdu1aZ2dnBBs2bJiyDFBz iWcvsBIwBFYCTAVFqgFQuecXqPM0R+6j4iNHz0FnKSSikCpgPVCByM3NRZHl 6uoq3ea1oKCgWrVqKsX9jBYtWuTg4KA8c1AKl3j2ASsBQ7CtEhgyKwKHxd0y do/QAI80GgBVfHa+OitPfT9XnZGjTtccaQ/VqZIDH8mOAAiGwIiCiIj+SKIH mPKPl5cXSq39+/cLS2RkJCyenp76ogQFBdFShKGhoQZehZWAfcBKwBCMHSdg 2V4zVgKMCQgZQBrg+n31vAPq98PUrZarX1hi6IHAH2xQf/Pf4uikB1gMVBTQ uqcFA2lFAvzfvXt3WEJCQihAenp6dHT0kSNH6OPJkyednJwcHBy2bdtm+FVY CdgHrAQMgXsHmAqHkAEP89Xb4tWvrFQ/v9j0o+3KYidwJcQAU87JysqqW7cu Cq527doFBATQrAEfHx/RXxAeHg6Lu7s7fXz77bdpurT2PuyffPKJvqtwiWcf VColgGe+4WOuXLlieFxWAkzFgprtjwqLG/KowVGVNzf7gBO4gkO45dcCFYLE xMT27duLFVEgA6RrCu3atQtGDw8P+khrEuqkT58++i7BswYqLnPmzBEVIurH SqIEIiMj90jIyckxPC4rAaZiUaQZH5hXoL6arn55hfq5RZY54CoxvdhtQaGh SuCXX35xcnJq3bp1GX9jRi9paWlxcXFJSUll4ZxLvIrLxYsXpXWidGFqRie8 ngBTgRAvBLLz1YEH1M0WWfKYHVXs1sDXAlevXm3UqBHyzosvvmiVr85Ym8pY 3KlUxQdT+VixYgVKsy+++KLUkJUxXzDlDBohgJZ7Zq66+3q110JTjl4b1bv/ UJ+5rZ4aWcL+zrpit3kGjBY4ffo0DV9nJWDHVMYSj5UAUxqVMV8w5QzqGsh5 VDwrsPli9TMhphzQAIIPN/xpf25RsVs4V+ggyMvLmzFjRpUqVURHMysBWxEf Hx8YGDh69OhVq1YZsvFQfn5+aGjo+PHjp06dGhERUWovKr8FZRhtOFMwNkco gbsP1J4LTDmCDpZwOGhLibNwq6AELl++3LJlSxIAzs7OtEwNKwGbgDrdyclJ 6DFos02bNimER73funVr6VjBTp06ZWRkKEThEo9htGGFzNgcMUjgzgN1k/lG H51WFy8rJLiWIQ8At2KogDbbtm2jSsTT0zM2NrZr166sBGxCcnKyu7s7av9l y5adOXMmODgYqsDR0VFhqeGAgACq/Q8dOnTgwIFXX30VH3v37q1wFS7uGEYb zheMzRFK4FamuvE3Rh//vVrC24DN8gBwq6wE6tevHxISkp2djY+sBGyFn58f fvkpU6YIy7Rp02AZPny4zvBnz56FVHBxcbl//z5ZMjIy3NzcIB4SExP1XYVL PIbRht8JMKZx6Xr6nkOXceAPM12REniQp07OVDcMNu6Y+HMJVysO6wgDt3Cu TwlAAEg7l1kJ2ITCwkJaH0A6NSwhIQGWatWqFRQUaEeZP38+zg4YMEBqHDx4 MIzz5s3TdyEu8RhGG84UjLFk5+Qv2HiU1pSmI+RfR2E02aFQAjfvq58OMuJ4 YXGJfoGr6cUW7WBwm6VfCchgJWATLl68iJ+9Ro0aMruHhwfsOocODhw4EKcW LVokNS5dulRbHkixbIlXFuUn+2SsD//yjLHIZIAQAyY7JCWAyvrGfXX9r0sc zy9Sf7Sp+H+ZnY6d50v4QUidwW6wEij3HD58GD+7l5eXzN6sWTPYo6OjtaP4 +vriVFhYmNS4YcMGGN9++219F2IlUNl8MobAvzxjFJeup2vLADpM7iaQKoG6 8/48mi8sbuaD9Bz1O2tLnMLxacltZ5bGygOIg5VA+Wf//v342du2bSuz0+4D +/bt047SuXNnnNq5c6fUGBERAWPHjh31XUha4mmXfsZa2IOlPOizMNaBe80Y o9hz6LI+JYBTpvmUKoHagX8es3/9MwzEwFvf/3mqWcj/RAKBv2GRxpUerATK PzExMfjZ27RpI7N7e3vDHhUVpR3lnXfewakdO3ZIjdu3b4exS5cuUuPfmQqF hZ8txgDK7meviJ7L2n/FTbmgrJWAx9w/j3Elt7Y+max+dsH/Ti0+VOLUXzaW iCg7WAmUfxITE/GzN23aVGZv3Lgx7DonEg4dOhSnfvjhB6nx+++/h7Fnz576 LsQVDcNoUxFrvYpbn1bclAvKtHfg5n21+5wSR1TJHThPJBcbe28oYVwUI48l O3jEYPknNzcXP7urq6vYgxgUFBRUq1YN9jt37mhHmTx5Mk4FBQVJjV9//TWM o0aN0nchVgIMo412vrBXS3lIg/W/XVlQdiMGUWXXmF3iaPpNce0v5YffS1gS 04rDyGLJDlYCFQLa9GH//v3CEhkZSSs+6QwfFhaGs507d5YaX3/9dRjXrVtX tmllmIpP2fXvMOWBsn5+ymgWYXZ+cZVdfZb8aBxcPEhAHz3DdESRHXCrsLKQ DFYCtmLRokX45X19ffPzi58l/N+9e3dYQkJCKEB6enp0dPSRI0foY25ubr16 9RwcHA4cOECWqKgofGzUqJFYa4hhGEOwQsXB2CUWX1mI1hh0nanj6PSdbjEQ Eq07vOxQXmNQBisBW5GVlVW3bl38+O3atQsICKBZAz4+PqK/IDw8HBZ3d3cR JTg4mJYeGqnBxcUFHxHMRt+AYSoqrAQYm0M7ED3MV9/OUlebqfsY/KM81pU0 dYMgveGlB9zCucJehFJYCdiQxMTE9u3bi+2EIAOkawrt2rULRg8PD2mUBQsW uLq6UnhIgsDAQKunmmEYhjEXoQTuPFA/NVv95Azdx+gSE8fV76/XG1J6eMwt dmu4EnjzzTdRp7Rs2bKMvixTKmlpaXFxcUlJSQaGLywsPH/+/KlTp2jnCIZh GKbCQUog95E69aG61VJ11a/0HlP3qdMeFh+f7VQKJj3gEG5z9e9KzDAMwzCM bUEFXVikziso3kTAf5e6ynRLHqPDi93COS7BSoBhGIZhyieoo/MLijchOnWr eN6f8zTLHHAFh3AL5ywDGIZhGKbcQh0EOZoOghWH1c7T1U7TzD3gBK7gMIe7 Bio38fHxgYGBo0ePXrVqlc5tDU1my5Ytn3766cOHD813dfDgwaCgoM8++2zu 3Ll79uwx32FaWtqKFSv8/f3nzZt34MCBR48eme9TsHv37vHjx58+fdpMP7Gx sRu1+OWXXyySSIZhKhyFj18L3MosXjbQbabacarpB6IvPlTsil4IFLIMqKyE hoY6OTmJ+QhVqlTZtGmTRTzHxMQ88cQT8Ik61xw/+fn5vXv3VpWkW7duGRkZ JvuMioqiDZ0Fvr6+Dx48MCedgsTExKeeego+N2/ebKYrmqojo1OnThZJJ8Mw FQ56LZBXoM7MLa7BY5PUw35SPztfXWWa2mGKoYfLV+rmIcXbFB65XuwkK6/Y Ib8QqLQkJye7u7uj9l+2bNmZM2eCg4OhChwdHXVuZGAUP//8M61+YL4SmDhx IpzA29SpU9FGRhO+UaNGsHz88cemOUxNTa1duzY89O3bF+1rtLJbt26Nj4MG DTInnURhYSHtAmkRJYC7Az+ff/75FxKWL19ufjoZhqmgCDGAhnxKdvHOQRdT 1GduF+89dOyG+uj1/x1HJIcw/n6zOBgCIwoiIvoDlgGVHj8/P1Q0U6ZMEZZp 06bBMnz4cJN9ot7/5JNPpG1Yc5RAUVFRnTp14GTNmjXCuHXrVlieeOIJWm7R WFavXo3okBMi+sGDB2GpUaOG+X0EECrii5upBGjbKS8vLzOTxJhG2fWaCSzY fSZIT09HZoF+Hjdu3Lfffgu1b0Hnv/7668yZM/39/cPCwq5fv25Bz1Is1bkm sL9eNhID+QXFnfto0ac+VN99ULw0UHJm8aLBN/QcOIUACIbAaQ+LIyJ6PsuA yg1ar9WrV0ddc+HCBWFMSEigNYgKCgpMc0urIsPDP//5z1q1apmpBG7evNmi RYv69etL+wKQtqpVq8Lz5cum7O8ZHR0dEBAg7QTJzc110GDm64tjx45VqVKl efPmPXv2NF8J0BbSH330kTlOGNMou14zgaW6z6SgDqVMJ0Ae37BhQ+kxSwOZ rn///lLPLi4uZbFgqQU71wT22suGGpz0QO6j4gPVenZ+8YFmvvZBp3DkPPpf eNIABYWlX4ixYy5evEgNYZmdOtBNbgStXbt27NixN27cwN/mKwGdnDx5kgoi iwzzKyoqmjt3rkqzZqM5frKzs59//nlnZ+cjR44MGDDA/KJsxowZcIKWHVph ffr0GTp06PLlyyFazPHJGELZ9ZoJLNh9JoBsrlmzJg162bJly65du/r164eP kM3x8fFmOp81axZcQZND6qOJPWHCBHzE037+/HmLJJ6wbOeawL572QqL/leh G3vw+EAGHD58WOfL52bNmsGOhrP5lygLJZCfn//GG2/ArZ+fn5mu7t69O3jw YCqQGzVqFBcXZ463UaNGwQ+qb/xtESXQq1cv7YZMixYtrly5UnpkxgzKotdM YNnuMynQLfDWuHHjIsmr3latWsEIMWmOZzhs2LAh/KxcuVIYab3Z+fPnm+NZ hgU71wTcy8YwCuzfvx8ZpG3btjI77W20b98+8y9hcSVQUFBAlWzt2rVRj5vp 7bfffhPFTps2bdD6M9kVbfqAn45eU1hECTRp0kSlWdl727Ztly5dQiuPLF27 di3iXr0yo4x6zQSW7T6TMn36dMiAr776SmqcM2eOyozhtUROTs7ChQtHjhwp HdIApUQNbXM8S7Fs55qAe9kYRoGYmBiqAWV2b29v2KOiosy/hGULuuzs7A8/ /BAO3dzcLPLKAg6vXbuGbzpo0CB61Wna6987d+7UrVsXZbuoOyyiBHbv3o0m WGpqqrBAqyCR8GzB19SMjDLqNRNYoftMCs3AtfjWY0lJSZ6envCMp9QiDi3e uSbgXjaGUYBemjVt2lRmR7PCUnWNBQu6lJQUHx8fehtw+PBh8x3KIOfTpk0z IW7fvn0RF4XMvsd06dIFlsmTJ+Nvy5bzlM7Q0FAL+mSkWKHXTFDWSmDPnj0k cc153yVj/fr1HTp0cHR0hOcxY8ZYakkui3euCbiXjWEUgCpGjnB1dS0s/HPw aEFBAdq2sKOda/4lLFXQ0QwCuEJpnJCQYKa3rKysU6dOyRYmQutbZeqgQdQa 2kWNwOR+FqRTewrY22+/DZ9oV5rmkykVK/SaCcpUCaBx7ebmBv+y/gIzkY7D DwoKMm0mr4yy6FwTcC8bwyhDVRiKPmGJjIyExdPT0yL+LVLQQQY8++yz8PP6 66+npKSYn6q//OUv8LZgwQKpER9h7NGjhwkO58yZM7Yk1H7s3r07/jbtffLx 48dVmslr0u2n8/Ly6tWrB/uhQ4dM8MkYghV6zQRlpwR2795NMqBfv36WXUn7 6tWreCYXLlxIvQN9+/Y102EZda4JuJeNYZShwUu+vr4k7PE/Ki9YQkJCLOLf IgUdzYTq0KGDpRZgWb58uUozxFroiuvXr1MNu2TJEotcwvyirKCggGaEjRkz RhgnTZoEywsvvGDZsp2RYoVeM0EZKYG1a9dSTTds2LCye1RQw6o0UxTNXKbb mp1rAu5lYxhBVlYWzaFr165dQEAAvf9EHpH2F5iD+QVddHQ0vYd0cnKqrcW5 c+dM8Jmbm9u2bVuVZuThkCFD/P39qc7t2LGjpYpNizRq1q1bR9+9ZcuWEydO 7Natm0qzikKFXhut/GOFXjNBWSgByHsHBweV2TMHpeCnSEpKOnv2rMxYv359 ldmDBsuoc03AvWwMUypoAbVv317kO8gACy6sSgsFm7NVUEhIiEIpYfJ6pLdv 3x40aBAVmPQS/osvvkCJYXI6ZQwcOBBuf/zxRzP9hIWFNWjQgBKJ1Hp7e584 ccIiKWQUKOteM4HFlUBQUBA9z5Zt7Z46dQpuIZilUhl/04o9x44dM8d5WXSu CbiXjWEMB2VRXFycNLNUBlD141ujpWORUU9lRFFR0bVr11DY3r9/39ZpqSyU da+ZwLJK4OTJk05OTlCM27Zts4hDAR5CenkYHBwsjFOnTlVptgazeAeEBccJ cC8bwzAMYwJl3WsmsKwSoDfeKs1MWxmffPKJmc5//PFHcv7yyy+jJqUFBqE6 IiIiLJJ4KZYdMci9bAzDMIwJlGmvmcD87jMptDSiTvr06WO+f1TNtOYw0aJF i99++818t9pYqnNNwL1sDMMwjGlUzl4zBYqKiqCRYmJizF/r28pwLxvDMAzD MAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzDMAzD MAzDMAzDMAzDMAzDMAzDMAzDMHbD/wM2SRfs "], {{0, 72.}, {343., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{343., 72.}, PlotRange->{{0, 343.}, {0, 72.}}]], "Output", TaggingRules->{}, CellChangeTimes->{ 3.7639700696532326`*^9, {3.763970112897111*^9, 3.7639701270522776`*^9}, 3.7639702424547725`*^9, 3.7639702757131386`*^9, 3.7639774393579006`*^9, 3.763984019985958*^9, 3.764500612988573*^9, 3.7645010976544847`*^9}, CellLabel->"Out[33]=", CellID->451512946] }, Open ]], Cell["To combine graphics, use the optional second argument:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7639701407317047`*^9, 3.7639701864595585`*^9}}, CellID->517198323], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"DynamicModule", "[", RowBox[{ RowBox[{ "{", "\[IndentingNewLine]", "visibleQ", "\[IndentingNewLine]", "}"}], ",", "\[IndentingNewLine]", RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{ "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"ListPlot", "[", RowBox[{"<|", RowBox[{"1", "\[Rule]", RowBox[{"Range", "[", "5", "]"}]}], "|>"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Dynamic", "[", "visibleQ", "]"}]}], "\[IndentingNewLine]", "]"}], ",", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"Abs", "@", RowBox[{"Sin", "[", RowBox[{"Range", "[", "5", "]"}], "]"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Red"}]}], "]"}]}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7639701919876986`*^9, 3.763970252393237*^9}, { 3.763970282463855*^9, 3.7639703109008427`*^9}}, CellLabel->"In[25]:=", CellID->48475032], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzt3QuYVWWh8PFBQMW8C0hmeLdS1OoLjlmng+bxlJkaatkxtYtiZaKd8oKo IJofHfOWaCpFGfl1RMMnEbTiaBoGIoGgKSjKHQFhGJgZhhlmZn/vzNLtZs+F GZhhvXvm93vW4zOz9trvvMy7Gf+zWXvtQ759+aDBOxUVFf1o1/CfQd+6+sT/ +q9vDT1r7/DJOUN+9L1Lhlx80ReH/PjiSy7+r+O/3TXsnNelqOjn4YO6jzMA AAAAAAAAAE0bPHhw2lMAAICtUK0AAMRPtQIAED/VCgBA/FQrAADxG5wj7bkA AEDjxCoAAPFTrQAAxE+1AgAQP9UKAED8VCsAAPFTrQAAxE+1AgCwg02bNu2h BqZMmdLMXVQrAAA72MCBA4sa+OxnP9vMXVQrAAA72N577x0y9fLLL78ix+jR o5u5i2oFAGBHWrhwYUjWww47rFX3Uq0AAOxIjz32WKjWr371q626l2oFAGBH Gj58eKjWH/7whyNGjBg0aNCFF144evToTZs2NX8v1QoAwI50xhlnNHwp1lFH HfXWW281cy/VCgCdSk1t7ez5K8dPmRe28EH4NO0Z0en07ds3ZGq/fv0mTJiw YMGCRx55JNkzcODA2qYfkKoVADqP4g0Vw8dMveDGSdktfBp2pj0vOpfJkyff e++9a9euze55+eWXu3XrFsJ11qxZTd1rcBN2yJQBgB2nprY2L1mz4eoZV1I3 YMCAUK2//e1vmzpAoAJAJzF7/sqGyZps4aa0Z0cnUlpaumLFirydJ598cqjW sWPHNnUv1QoAncT4KfOaqtZwU9qzo7OYNWtWqNPu3bsvWbIku7OysnL//fcP +//+9783dUfVCgCdhGolBtXV1fvss08I1B/84AfZnddcc03Y89GPfnTz5s1N 3VG1AkAn4QwBIvGb3/wmudpVv379rrrqqhNPPDF83KNHjylTpjRzL9UKAJ2E V2MRj3Hjxh1wwAFJu3bp0uW4446bPXt283dRrQDQebjyFfGora1dvHjxzJkz 169f35LjVSsAdCreZYACpVoBAIifagUAIH6qFQCA+KlWAADip1oBAIifagUA IH6qFQCA+KlWAADiNzhH2nMBAIDGiVUAAOKnWgEAiJ9qBQAgfqoVAID4qVYA AOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKn WgEAiJ9qBQAgfoNzpD0XAABonFgFACB+qhUAgPipVgAA4qdaAQCIn2oFACB+ qhUAgPipVgAA4qdaAQCIn2oFACB+qhUAgPipVgAA4qdaAQCIn2oFACB+qhUA gPipVgAA4qdaAQCIn2oFACB+g3OkPRcAAGicWAUAIH6qFQCA+KlWAADip1oB AIifagUAIH6qFQCA+KlWAADip1oBAIifagUAIH6qFQCA+KlWAADip1oBAIif agUAIH6qFQCA+KlWAADiNzhH2nMBAIDGiVUAAOKnWgEAiJ9qBQAgfqoVAID4 qVYAAOKnWgEAiJ9qBQAgRZMnT/7Rj340d+7c5g9TrQAApGXhwoV77rlnUVHR ww8/3PyRqhUAgFTU1NT867/+a1E91QoAQJxuueWWoveoVgAAIjRz5szu3bsf eeSRp59+umoFACBC5eXlH/nIR7p16/bCCy98/etfV60AAEToe9/7XijV4cOH h49VKwDpqqmtnT1/5fgp88IWPgifpj0jIApPPPFEyNT+/ftv3rw5o1oBSFXx horhY6ZecOOk7BY+DTvTnheQslWrVvXu3Xu33XabN29esqfl1dqo9p8yAB1W TW1tXrJmw9UzrtDJnXXWWaFRBw0a9Of3/Nu//VvYM3To0PBxcXFxU3cUqAC0 udnzVzZM1mQLN6U9OyBNhx12WFHTQrg2dUfVCkCbGz9lXlPVGm5Ke3ZAmm66 6abLtnT44YeHXj3llFPCx/Pnz2/qjqoVgDanWoGW82osANLiDAGg5VQrAGnx aiyg5f7zP/8zVOv48eObP0y1AtAeXPkKaFuqFYB24l0GgDakWgEAiJ9qBQAg fqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOI3OEfacwEAgMaJVQAA 4qdaAQCIn2oFACB+qhUAgPipVgAA4qdaAQCIn2oFACB+qhUAgPipVgAA4qda AQCIn2oFACB+qhUAgPipVgAA4qdaAQCIn2oFACB+g3OkPRcAAGicWAUAIH6q FQCA+KlWAADip1oBAIifagUAIH6qFQCA+KlWAADip1oBAIifagUAIH6qFQCA +KlWAADip1oBAIifagUAIH6qFQCA+KlWAADip1oBAIifagUAIH6Dc6Q9FwAA aJxYBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9q BQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOI3OEfacwEAgMaJ VQAA4qdaAQCIn2oFACB+qhUA2GFq6dDa9cGjWgGAHSAbNjXvqaZDyC5oe7er agUA2lVurIbIqaqqqqy36T0VFKDs8iWrGZY1W7Dt1K6qFQBoP9lk3bx5cyic 8vLykpKSNWvWrF69euV73n777RUUlJU5wlKuXbs2LGtY3LDEYaFbGK5PP/30 iBEjhgwZMm7cuKVLl271saRaAYB2kqRLdXV1ZWVlaWlpaJvQqxs2bAiftvc5 kOwwYX1DrIZlDYsbljgsdFjfsLOZcA23nnPOOUU5evToMXHixOa/kGoFANpD 8hRrkjQlJSXvvPNOiJm0J0X7CkscFjosd1j05ISBRsP1xhtvDKXap0+fO+64 Y9q0aT/+8Y/Dp926dXvttdeaGVy1AgBtLvssa6iXtWvXFhcXpz0jdpyw3GHR k3Bt+Ixr+PRDH/pQyNR77703u/Okk04Ke2699dZmhlWtAECbS55oraysXLdu nWTthMKih6UPD4CGT7dWVFTcfvvtl1xyycaNG7M7r7322lCtl19+eTNjqlYA oG1lX35VWlq6evXqtKdDOsLShwdA9sVZzRy5ZMmSgw8+OFTr5MmTmzlMtQIA bSs5N6CioiJ0S1VVVdrTIR1h6VetWhUeBsl5Ao0e8+CDD37605/eaaedQrL+ 4Ac/CInbzICqFSho4Rf42fNXjp8yL2zhgxqvSoa0JecxhvzYsGGDJ1o7ufAA CA+D8GBo6noCAwcOzF5GYNSoUc3/jqNagcJVvKFi+JipF9w4KbuFT8POtOcF nVpyekDIj7Vr165fvz7t6ZCm8AAID4PwYGjqJIFFixYtWbLk9ttvT84QOOus s5oZbXAT2m36AG0j/ATMS9ZsuHrGFVKUPT3g7bff3rRp03aOtv0jZD3wwAOj R4+ePn16Ww3IVoXlCw+D5k8SSEyePDlU6y677FJWVtbUMQIVKFCz569smKzJ Fm5Ke3bQeWWrdfny5TU1Ndswwvz584cNG/bFL36xd+/eXbp0OeKII84999y7 7rprOy/3uuuuu4Yu+vGPf7w9g9Aq4QEQHgZ51Rp2Llmy5JVXXsk7sk+fPs2/ IEu1AgVq/JR5TVVruCnt2UHnlZzUWl5eHspkG+4+ceLEvfbaq6gxAwYMaMn7 fjZlR1brr3/962uuueb222/fAV8rcuFhEB4MyamtyZ45c+aEhdhnn31yX3sV Pt57773D/pkzZzY1lGoFCpRqhThlq3XRokWtve+DDz7YpUuXpFE///nPX3vt tXffffell156yCGHJDt79eq1du3abZvYjqzWk08+OXytww8/fAd8rciFh0Fe tYYPevfuHb4/P/3pT7OHDRs2LOwJ+5u5jIBqBQqUMwQgTtlqXbhwYavuWF1d fcABByQnN/7P//xP7k1lZWXf+MY3knAdPXr0tk1MtaYiPAzyqjUYP358spof //jHr7nmmuSNscIvLJMmTWpmKNUKFCivxoI4JdUaOrO11bpgwYKkZM4444yG t5aWlu6zzz7JeQINb62pqVm8ePELL7ywaNGiUL+Njt98tW7YsGHOnDkvvfRS SUlJ8/MMX2vZsmUzZsxo5rpe21+t4c/74osvbvXSYdnJzJ8/P/etptpk5K1+ S1siPAzCgyGvWoOHH344eV/XxFFHHfXXv/61+aFUK1C4XPkKIpRUa0ijN998 s1V3/Mc//pEEzJVXXtnoAdOnT3/sscf+/Oc/5+4MX+vGG2/s1atXtn/222+/ YcOGNfyH5qaqNSTcKaecknsC7YknntjopQZCvI0cOTJ50VCib9++5513Xm4B HnrooV27ds0e0LXe0Ucf3fyfPYyQHHn//fdPmjSpf//+3bp1S0YIaZf3zHP2 Dz58+PDcyXTv3v2cc855/fXXt3/kFn5LWyI8DJJ3yGp4DYGwJzTt888/38Lr +qpWoKB5lwGIzTZXa1VVVY8ePUIjhfB7++23W3iv7373u42+dKth4TRara+9 9lryIqA8Yeerr76aN0IYs9GvFdp19uzZyTEHHnhgwwOOOOKI5v8U4c+bHHn+ +efvtttuDUcYM2ZM3l2+853vNDqZgw46aPny5dszcsu/pS3RTLW2lmoFANrQ NldrkH3OM6TXvffeu9Wn4G677bbk+BNOOOGhhx6aN2/e73//+/BxsvPWW2/N PbhhtYbxQyEX1T9LOXz48GnTpk2fPn3EiBHJs5GHHHJI7gRGjhyZDHvsscfe d999IXcfeeSR7Nm2Rx11VHLYkiVL3njjjeOPPz7sDAX7Rr2tXvog25ZF9U9s 3n///a/Vu/baa5Nnbnv16lVeXp49/vrrr08O/tSnPhWyM/zBn3jiiYsuuijZ edxxx2Xf36G1I7fqW9oSqhUAiNP2VOvy5cuPPPLIbGWFeuzfv/+QIUP++Mc/ Nnyvz5UrVybvXx8ycsOGDdn9JSUloSGTFs19k4KG1XrppZcmX+g3v/lN7sgP PPBAsv+GG25I9qxYsSLZc8ABB4Svm3vwhRdemNz09NNPZ3e29rzWbFv26NHj hRdeyL3p4osvTm7KXhIqO5mDDz54zZo1uQd/73vfS27Kvjy/VSO39lvaEqoV AIjT9lRrpj5cv/a1ryWFmatnz54hX995553skU888URy09/+9re8QULlJjfN mDEju7NhtX7qU58qqr/EVsNpfOITnwg3nXrqqXkDhg/yjly3bt3w4cND3z73 3HPZndtcrV/84hfzbvrf//3f5KbsOaiPP/54suepp57KO7iysjK5DsM555yz DSO39lvaEqoVAIjTdlZrIqTg/ffff9ppp+W+Jig4+uijs6e8jhgxItn52GOP /WlLY8aMSW76xS9+kR0zr1pD4CXHfPKTn/xTA8nL2/fff//k4Ouuuy45uIVX i93mag0BnHfT66+/ntyUPQE1FHKyJ3yXGg71pS99qaj+9IZtGLm139KWUK0A QJzapFpzzZkz5/rrr999992Taho4cGCy/8tf/nLR1lxyySXZcfKqNXvJguYl kfyFL3yhqP5F9y2c8zZX6z333JN30+LFi/Pa8tRTTy2qP1eh0aGuvvrq3MBu 1cit/Za2hGoFAOLU5tWaeOutt/bbb79QTTvvvHNFRd0F7pKSDPo3Jtk/cuTI 7Ah51Tp9+vRsiTV69759+4YPkmo97bTTwp4+ffq0cLY7oFqbSujtqdbWfktb QrUCAHHa5mpdv379ihUr8l7rlCt5089g2rRp2U+7deuWROxW5VXrxo0bk2sF XHfddVu9b/afzletWtWSr9Wu1Zq9gECjZwgkgd3wDIGWjNzab2lLqFYAIE7b XK3J69+7du3a1JtqXXLJJUllzZ07N3z62GOP5UbsVjV8NdZxxx0X9vzHf/zH Vu87adKk5Gs9+uijeTeVl5f//Oc/v/POO+fMmZPdmVTrQQcd1JKJZVrZltkX RrXq1VgtGbm139KWaNtqzWqTuQEAndk2V+vUqVOTZLrwwgsbvoVoGC05Q2C3 3XZLri+6dOnS5Pjcy5MmnnzyyY/WCxmW3dmwWrMX6s+78lWY/xlnnBHunr28 wKpVq7p06VJU//qs3Gv4B9mrpP7lL3/J7kz+ET9YsWJFS/7srWrLMIFkz8EH H5z36rBmrnzVkpFb+y1tCc+1AgBx2p7zWrMXa/34xz/+6KOPzps3r6ysbPbs 2Xfdddeee+6Z3HT55Zdnjx86dGiy8/jjjw/lGb7i3Llzb7rppg984ANhZ7hL SUlJ9uCG1bpo0aIPfvCDyb+JX3fddc8++2zYE/LsM5/5TDJs9nqtwahRo5Kd xxxzzH333ffGG2+EI7NXfA2Zl/sH+f73v5/sP/PMM5966qlwcPN/8Fa1ZSbn mgb9+/f/1a9+9frrr4fJZN+669hjj234LgMtHLlV39KWUK0AQJyy1frWW2+1 9r4hU/v161fUtFCDuW83EL5W9t2p8oRGzX3yM9PEO7rOmjVrjz32aHSEU089 tbKyMvfgbIvmOeCAA1588cXcI59++uncA1r+jq4tbMvg29/+dqOT6du3b6Pv 6NrCkVv1LW2J8DBQrQBAhJJqLS8v34ZqzdSfJnrxxRfvu+++ub3UpUuXww8/ /IEHHmh4fIjYoUOH9uzZM3twt27dzjnnnFdeeSXvyOTZwquvvjpv//PPP3/S SSflfrmDDjooNF5esgbV1dUjR47s06dP9sjevXsPGjQoewnZXA8//PDnPve5 5LAjjzyy+T/16tWrkyPvu+++vJuWLVuW3DR27Njc/eGbfP3114cJ5P7Bzzrr rPnz52/nyC3/lrZEeBiUlZWpVgAgNtlqXbRo0faMs2TJkscffzwE1XPPPZd3 jmVDoSfDl5s5c+aCBQvCV9+GL1dSUjKnXnFx8Va/1uLFi8PXCtW31WE3bNiw du3a1r4LastlJ/Pqq6+GOGzbkbfzW5pYuHBheDCoVgAgNm1VrXQM4WGgWgGA CIU4qa6u3rhx49KlS7fnOTo6gJqamiVLloQHQ3hIqFYAICrZal22bFlyiSo6 rYqKivDLi2oFACKUVOumTZtWrly5Zs2atKdDmsIDIDwMwoNBtQIAsQlxUlNT U1lZWVxcvHTp0rSnQ5rCAyA8DMKDITwkVCsAEJvsJVsXLVrUhu9oT2HZtGnT woUL2+pirRnVCgC0taRaQ6+uWrVq267aSgcQlj48AMLDQLUCANGqqampqqoq LS1dvHix8wQ6obDoYenDAyA8DMKDoU3GVK0AQJvLviaruLh4wYIFLbkgPx3G 8uXLw6KHpW+r12ElVCsA0B6S8wQ2bty4du3at956a968eaWlpWlPivYVljgs dFjusOhh6dvq3ICEagUA2kk2XIuLi5csWTJ37tyQNCtWrCgrK2urfzUmdWEp w4KGZQ2LG5Z48eLFYbnbPFkz9dWa1YbDAgBk6pMmOVWgtLR09erVIWlC28ya NWvGjBnTp09//vnnp9b7GwUlWbWwfGERw1KGBQ3LGhY3LHFY6OTEgDb/xUSs AgDtKjnHtbKysqKiIiTNunXr3nnnnZUrV66ot3z58mUUoLBwyQqGpQwLGpY1 LG5Y4rDQbXguay7VCgDsANX1Nm/eHKpm06ZNIW/K31NGAcouX1jKsKBhWcPi JqvcTg8h1QoA7DDJCQN0SO19rrJqBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAg fqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOKnWgEAiJ9qBQAgfqoV AID4Dc6R9lwAAKBxYhUAgPipVgAA4qdaAQCIn2oFACB+qhUAgPipVgAA4qda AQCIn2oFACB+qhUAgPipVgCgw6ut3faNSKhWAKADy8ZnzXtbdc3Wt+zB2jUe qhUA6JByezWEaFV1prJ+27S5bqtoYktuTY4Md0kKVrvGQLUCAB1Ptlc31/dq yNHyqkxpZWb9pkxJRWZd/Va8MbM2ZwufJvvDAeGwcHC4S7hjuPvmnHYlLaoV AOhgssma9OrS9Zlbns2cOi5zzOjMR+9q6RYO/tLvMv/9t7q7J+0qXNOlWgGA DiabrBurMhP+mfk/92Y+cue2b5+8t26QMFQ2XEnF4BxpzwUAYHslT4durql7 gjTUZsjOI7d7C4OEocKAYVhPt6ZFrAIAHUlt/WuvKqszi9ZlPn5P5og72mYL Qy1cVzdsdU1Lq3XKlCldu3Y99thj2/lP3FmoVgCgw8g+0VpelfnJs5nD72jL beQzdcO28OnWRYsWHXjggUVFRR/72Md2yB+941OtAECHkZzRWlmd2bApc8qD mcNu35btjIcyk+dnXl6ZGfaXLfb/+2/qhq1swdmtc+fOPeyww4rqqda2oloB gA4jOT2gYnPdlayOvDNzyG3bsoVezfry797ff8QddcOGwZs5SaCysnL48OHd u3cveo9qbSuqFQDoMLLVurosc/DPtmUb9dwWA573yBa3hmGbqdY333yzX79+ Sax269atS5cuqrUNqVYAoMPIntS6qizT99ZWb599oO4tBrIWl+QfEIbNntra 0IQJE5JkPfjgg6dNmzZw4EDV2oZUKwDQYWSr9e0NmQ//d6u3vy3aYrSvP5x/ QBi2+Wrt06fPbbfdVl5eHj5Vrc177rnnRo0a9f3vf//mm29+8sknt3q8agUA 0rVg6bon//5m2MIH2zlUUq1llZkVGzIf+mnrtque2mKoe6Y3ckwYNgzeVLWG WK2oeP+5WtXalKqqqjPPPLNoSyeeeGJJSUkz91KtAEBayiuqfvbQjAtunJTd bvt/M8LObR4wW63L12c+OKoV20fv3OLcgEXr6vY0PCwMW9p0teZRrU256qqr wnemd+/ew4YNmzZt2i233JJcJez8889v5l6qFQBIS16yZsN1mwdMqjWE5bL1 mT7/d4vtI3dkvvr7uv/m7U+2x1/bYpxwZKOHLVOt2622trZXr17hOzNmzJjs zj/84Q9hz84771xV1eTvLKoVAEjFgqXrGiZrsm3zqQK51dr7lve3I2+ve/o0 WFeR+fexW9wUtosmbDHIz6flH5DdVOv2W758+VFHHdWnT5/c8wGqq6t32WWX 8O168803m7qjagUAUvHk399sqlrDTds2Zm619vzJ+9vIp98/JoTr53/1/k2H 3/Zu0CbCx2FP7n1zN9XaTl566aXwverRo8fmzZubOka1AgCpaO9q3ffm97cf TtrisJdWZA792bs33fn3LW76ykNb3DFvU63toaqq6nOf+1z4Xp177rnNHKZa oYVqamtnz185fsq8sIUPalryAwuAprXrGQLL12f2vmmL7Zm3tjhy9oq6nWf+ bouddzyff6+8zaux2lx1dfXXv/718I3q2bPn6tWrmzlStUJLFG+oGD5mau5P 1PBp2Jn2vAAKW/u9Givk5V4jt9gO+u+6Us31639ssWdhcd0xeffK21Rr2yov L//yl78cvku777771KlTmz94cBN2zFShINTU1uYlazZcPeMKsD3a6cpX5VV1 ebnHjfnbh39ad1JrU04f18hd8rYwbDPvMpBHtTZvzZo1AwYMSJ5lnT59+laP F6iwVbPnr2zq37DCTWnPDqDgtfm7DCTvjfWBEY1sn72/8XC9bWrjx+dtzb83 Vh7V2ozkSgLh+3P44Ye/8cYbLbmLaoWtGj9lXlPVGm5Ke3YAvC/EZHVNZmNV ZmVpZrcRjW/fGJ9/r7eKMweMavL43C0MGwavVq3bJyTroYceGr45n/nMZ9as WdPCe6lW2CrVClAostW6qiyz58jMrsMb3y59fIt7nfpgk0fmbvveXDdsy6v1 pJNOCmHWr1+/dvrDFq6zzz47fGc+/elPb9y4seX3Uq2wVc4QACgUSbVu2pxZ uzFzzM8zu9zQ5Dbsz5nijXXb9x9v7rDcLQwYhg2Dt7BaadTUqVOL6nXt2rVn A6+++mpTd1StsFVejQVQKMJP5ZraTGV1pqQiM+SJTPfr23K7dGLdsGHw8CX8 +N9mt912W1HT5s6d29QdVSu0hCtfARSK0JNV1Zmyysyct+uuVdXturbZwlBh wDBsGFyypkK1Qgt5lwGAgpCcJFBRf5LAPdMz3a7PdL1ue7cwSBgqDFjh9ID0 qFYAoIOpee/p1rc31L3d1e4jMjsN2/Yt3P3Ov9cNlTzRWiNZU6JaAYAOJnm6 tbI6s2FTXW1OW5L51qOZQ2/NdL8u0+Xalm49bsgceVvmogmZF5bWDVJaWTeg J1pTpFoBgI4nG65llZk15Zll6zOvr8m8vDLz0orMzGWZGUvf3V7I2bI7/7G8 7rBwcLhLuGO4e5lkjYBqBQA6pCRcq6rrTkYtraw7K3V1Wd3bBKzYUPfGrMua 2MJN4YBwWDi4eGPdHcPdqyRrBFQrANCBhdpM2nXT5rotJGh5Vd1WVtnIltwU torN7x6f9GrYSJ1qBQA6vJrad+OztZvXXsVDtQIAED/VCgBA/AbnSHsuAADQ OLEKAED8VCsAAPFTrQAAxE+1AgAQP9UKAED8VCsAAPFTrQAAxE+1AgAQP9UK AED8VCsAAPFTrQAAxE+1AgAQP9UKAED8VCsAAPFTrQAAxG9wjrTnAgAAjROr AADET7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADE T7UCABA/1QoAQPxUKwAA8VOtAADET7UCABA/1QoAQPxUKwAA8VOtAADEb3CO tOcCAACNE6sAAMRPtQIAED/VCgBA/FQrAADxU60AAMRPtQIAED/VCgBA/FQr AADxU60AAMRPtQIAED/VCgBA/FQrAADxU60AAMRPtQIAED/VCgBA/AbnSHsu AADQOLEKAED8VCsAAPFTrQAAxE+1AgAQP9UKAED8VCsAAPFTrQAApGXDhg2X Xnrpww8/vNUjVSsAAKmora09/fTTi4qKhgwZstWDVSsAADteSUnJBRdcUFRP tQIAEKGJEyd+6EMfKnqPagUAIEJ77bVXiNWTTjpp6NChqhUAgDidcsopjz76 aG1t7d13361aAQCInGotUDW1tbPnrxw/ZV7Ywgfh07RnBADQjlRrISreUDF8 zNQLbpyU3cKnYWfa8wIAaC+tqtZG7YBJkqumtjYvWbPh6hlXANpSTU1m4sTM 0KF1W/ggfArp8VxrwZk9f2XDZE22cFPaswOgo1i+PNO/f6ao6P0tfBp2QkpU a8EZP2VeU9Uabkp7dgB0CDU1+cmaDVfPuJIS1VpwVCsA7W7ixEaSNdnCTZAG 1VpwnCFQAJwJBhS68OOrqWoNN0EaVGvB8Wqs2DkTDOgAVCvxueeee0K1XnHF FVs9UrXGw5Wv4uVMMKBjcIYAhUy1RsW7DETKz3mgY/A7OIVMtcLW+Tc1oMNw vhMFS7XC1qlWoCPx2lIKk2qNi58kcXKGAACkTbVGxL/aRMuZYACQNtUaC10U Ob9TAECqVGss/Bt0/Jy/AQDpUa2x8HofAICmqdZYqFYAgKYNzpH2XDo3ZwgA HY/zaoC2I1Zj4dVYQAfjNYxAm1KtEfETHugw/CYOtDXVGhf/mgZ0DM56Atqa agWg7XmFKdDWVCsAbU+1Am1NtQLQ9pwhALQ11QpA2/NqLKCtqVYA2oXrogBt SrUC0F5cFwVoO6oVAID4qVYAAOKnWgEAiJ9qBQAgfqoVAID4qVYAAOI3OEfa cwEAgMaJVQAA4qdaAQCIn2oFACB+qhUAgPipVgAA4qdaAQCIn2oFACB+qhUA gPipVgAA4qdaAQCIn2oFACB+qhUAgPipVgAA4qdaAQCIn2oFACB+qhUAgPip VgAA4jc4R9pzAQCAxolVAADip1oBAIifagUAIH6qFQCA+KlWAADip1oBAIif agUAIH6qFQCA+KlWAADip1oBAIifagUAIH6qFQCA+KlWAADip1oBAIifagUA IH6Dc6Q9FwAAaJxYBQAgfqoVKGw1NZmJEzNDh9Zt4YPwKQAdkWoFCtjy5Zn+ /TNFRe9v4dOwE4AOR7UChaqmJj9Zs+HqGVeADke1AoVq4sRGkjXZwk0AdCyq FShUQ4c2Wa3hJgA6FtUKFCrVCtCZqFagUDlDAKAzUa1xsi5xsi5x2fLVWHWr 49VY8fG3JmZWh8LiERsn6xIn6xKdnCtfvVutrnwVGX9rYmZ1KCwesXGyLnGy LjF6710G6lbHuwzEx9+amFkdCotHbJysS5ysS8ysTpysS8ysDoWlbR+x7fH4 j3/M+GfYHmPGP8P2GDP+GRbKmPHPsD3GjH+G7TFm/DNsjzHjn2H7jQntx9/T 2EYrlDHjn2F7jBn/DAtlzPhn2B5jxj/D9hgz/hm2x5jxz7D9xoT24+9pbKMV ypjxz7A9xox/hoUyZvwzbI8x459he4wZ/wzbY8z4Z9h+Y0LLDQYAaFNp1w3U 8VAEACB+qhUAgPipVgAA4qdaAQCIn2oFACB+qhUAgPipVgAA4qdaAQAAAAAA AABS8cgjj1x00UUbN25MeyK8a926dWPGjLnqqqt++MMf/uIXv1ixYkXaM+Jd xcXF99xzz5AhQ2655ZZnn3128+bNac+IfBUVFddcc82tt96a9kSoU15e/lBj Vq1alfbUgMLz/PPP77zzzkVFReF/x2nPhTqTJ0/eb7/9inLssccev/vd79Ke F5lnnnlm3333zV2aL3zhC2VlZWnPiy2E3ynC0nzsYx9LeyLU+etf/1rUmClT pqQ9NaDAPPXUU717905+hqjWGCxfvnyfffZJcuiRRx554oknzj777PDpLrvs 8s9//jPt2XVqa9eu7dmzZ1iLs846K/wP96GHHjr22GPDp+edd17aU+N9f/rT n7p06aJa43HnnXeG5fiXf/mXK7b0xhtvpD01oGCERv3mN7+Z+5uvao3B3Xff Hdbiwx/+cG1tbXbnMcccE3aOGDEixYnxwAMPhFU48MADq6qqkj3PPfdc2LPX Xns5TyASa9as+eAHP5j8QFOtkbjwwgvDcowbNy7tiQAF7I477gg/SXbbbbdf /vKXyb9Hq9YYXH/99SFZb7jhhtydN910U1ig888/P61ZEUydOvXqq6/+/e9/ n92zadOmLvX83YnEoEGDwt+UK6+8UrXG47jjjgvL8eqrr6Y9EaCAjR079rLL Llu2bFn4WLVG7swzzwwL9JOf/CTtifC+2tram2++OazLgAED0p4LdX71q1+F 5Tj99NPnzZunWiNRWVnZvXv3D3zgAxMmTLj44ovD6oRf/WbMmJH2vIACplpj 9uSTT4bV6dat28svv5z2XKizevXqb3zjG8kJ4QceeOCLL76Y9ozILFiwYPfd d+/Vq9eqVavmz5+vWiMxe/bshq/D6tq1q9/BgW2mWqP1wgsvhP8Xh9XJO2eA FOW+JvoTn/iE3yZSV11dffzxx4fl+OMf/xg+Va3xGDt2bFiLLl26XHvttbNm zXrppZcGDx6c7Hn66afTnh1QkFRrnCZPnpwk69lnn+31PvEoLy9fvHjxM888 c9555yVPg4f/Hac9qU5txIgRYSG+853vJJ+q1ngsWrRo3Lhx4UdZ7s5zzz03 OZcjrVkBBU21Rmjs2LEhh8K6fOtb35Ks0RowYEBYo+uuuy7tiXRe4VeG8Ddl p512+sMf/vDner/85S+TkzfCxzNnzkx7guQLERsW6NBDD017IkBBUq2xueOO O5JrTrraVTxKS0vnzJlTUlKSu/Pee+/1gqx0jRs3rtGL2CdOOOGEtCfYqVVX V69cuTLvnTimTp0alqZv375pzQooaKo1KqNGjQrL0b1799/+9rdpz4X3feUr Xwnr8rOf/Sx3Z/g07DzttNPSmhUzZ868bEvJmRt77bVX+PjOO+9Me4Kd2umn nx7W4rvf/W7uzuR9B0455ZS0ZgUUNNUaj5deeqlr165dunSZMGFC2nNhC6NH j07eAGLNmjXJnqVLl+6///5h51133ZXu3MjlvNZ43H777WEtdt111+Qqi8Hi xYuT6294l2pg26jWeJx88snJv2z2bOCb3/xm2rPr1DZt2vTJT34yLM3uu+9+ wQUXDBkyJHnv3RNOOMGJx1FRrfEoLy8/+uijk3e0Oe+88y677LLsO1bnvv0f QMv16tUr/BjJO2GPVOyxxx5NnaE3aNCgtGfX2a1cuTL8nzc55Tg5i+OKK64o LS1Ne15s4fXXXw+rE2Ip7YlQZ9myZV/72teyf2v23HPPK6+8srq6Ou15AUDH FzL1xRdffOWVV6qqqtKeCxSGsrKyOXPmzJ8/31OsAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAADQrv4/dTjeLQ== "], {{0, 236.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 236.}, PlotRange->{{0, 457.}, {0, 236.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.7639702295881925`*^9, 3.763970312099092*^9}, 3.7639774439576488`*^9, {3.7639840279307976`*^9, 3.7639840305238285`*^9}, 3.7645006196135917`*^9}, CellLabel->"Out[25]=", CellID->349250910] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ InterpretationBox[Cell["\t", "ExampleDelimiter"], $Line = 0; Null]], "ExampleDelimiter", TaggingRules->{}, CellID->640401306], Cell[TextData[{ "When combining multiple wrappers, make sure that ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Style", "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/Style"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], " is on the outside. The checkboxes will not work if the ", Cell[BoxData[ FormBox[ TagBox[ ButtonBox[ StyleBox["Style", "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/Style"], MouseAppearanceTag["LinkHand"]], TraditionalForm]]], " wrapper is deeper inside:" }], "Text", TaggingRules->{}, CellChangeTimes->{{3.76398411059433*^9, 3.7639841592343545`*^9}, { 3.7652980679273973`*^9, 3.765298071468751*^9}}, CellID->436477814], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"Clear", "[", "x", "]"}], "\[IndentingNewLine]", RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{ RowBox[{"HoldForm", "[", "x", "]"}], "\[Rule]", RowBox[{"Callout", "[", RowBox[{"x", ",", "\"\\"", ",", "Above"}], "]"}]}], ",", RowBox[{ RowBox[{"HoldForm", "[", SuperscriptBox["x", "2"], "]"}], "\[Rule]", RowBox[{"Callout", "[", RowBox[{ RowBox[{"Style", "[", RowBox[{ SuperscriptBox["x", "2"], ",", "Red"}], "]"}], ",", SuperscriptBox["\"\\"", "2"], ",", "Right"}], "]"}]}]}], " ", "|>"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"PlotLabel", "\[Rule]", "\"\\""}]}], "]"}], "\[IndentingNewLine]", "]"}]}], "Input", TaggingRules->{}, CellChangeTimes->{{3.7639840485426674`*^9, 3.763984101069641*^9}, { 3.7639841969938354`*^9, 3.763984284981248*^9}, 3.764501120605208*^9}, CellLabel->"", CellID->298324428], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzs3Ql8FPX9//EEEDX9gYKC2kgFFX4tVIu/fzm1glq1YlvxaovHr6k/i1z1 QARXxCAKphgkFrV41MRHvVDEIxEVBSwkEg7DDeGQQDiDCTlIyJ35f5IvGTez R2Y3e8zOvp6PefDIfvc73/nuzGbzZvY73+l1zwO3jG4XExPz8Gnyzy1/mXLV xIl/cdx6pjy4/f6Hx953/1/vveH+SX+9768TB9/TXgp3x8bE/EN+aPxZAwAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAANCkvr5+48aN77333vz581NSUv79739/ 8cUXx44dM1TbsWOHlH/zzTeh7NvOnTtlo1lZWV7qqI6tWrUqZL0KYx/M7BAA AAD7Wbdu3eTJk0e7GDdu3IIFC+rq6vSaEmulfPr06aHs3sKFC2WjTzzxhJc6 7777rtSZMWNGyHoVxj6Y2SEAAAA288EHH+gxNSkp6a233pKS+fPnS2RVha++ +mpDQ4OqTGq1Qh9IrQAAINqsW7dORVOHw7F7927np44dO/bUU0+pZ5cuXaoK Sa1W6AOpFQAARJWampqHHnpI8s/EiRMLCwtdK5SWlj7wwAMq09bX12ukVq9I rQAAAMGwdu1adSr1iy++8FTngw8+ePDBB1944YWioiLNKbUeOnTolVdekbg7 ZsyYRx55JDU11W3uzc/Pf/XVV6WCVLv//vufffbZ7OxsfbyBLi8v77XXXpsy ZcrYsWOl8ty5c7du3ao/6xrSJEIvWLDg+SabN2/WnBLj7t27n3vuub/97W/j xo178sknly5d6rq5gwcPSq+kQdmcxHLp1TfffONcTTqpGs/MzHReccOGDarc 7SVXJvvwn//8R1pYvnz5ihUrHn744fHjxycnJ+/bt89k30zuEJP7f+XKlbLK V199JQf05Zdflv7cd999Uv/111///vvvXV8jAABA6EnslPAjKaWsrMxTHXWK VadSq6QpiWSGS7ceeughw5wDWVlZEpZcL/KSHOVcbdmyZW6rLV68WFUwhDQJ Xf/6179UnbfffltlMJUYpVcS9gztvPTSS9XV1frmMjIy3G5u3rx5NTU1qk5F RYVEaNWgHt6Ki4slpaszzydOnHDdVyb7IH2WkmnTpsme1yvk5uaa7JvJHWJy /+v/DZkwYYKhmrzY0tJST28MAACAkHnmmWdUfDK/igo5QuKQZKf9+/fv27dP j0xSotfcs2ePikyS8XJyckpKSvbu3fvPf/5T1dRnbcrLy1PVHn300Q0bNkhM kpJZs2apauoMpHNIk0iWmpqqnpXO6JtTiXF0Uwj/4IMPCgoKDhw4MH/+fFX4 2WefqWr6ON7HHnts/fr1EkR37dr13HPP6ZFPb3D79u0qVcqzDU1UNentd999 53bnmOyDSq1Cwu0bb7whr+Lvf/+7T30zs0NM7n/9gEpnpFnZ+Vu3bn3hhRdU YXp6uvn3BgAAQJCo04lz5swxv4oecr766iu9sL6+PjExUQqfffZZvXDevHmj m87KOp+AlYilgtOkSZPUyUP1cPz48c7VysrK7r//filfsGCB5hTSZHWJeaoD ixYtcu6Ynhg/+ugj582p1Ddx4sSqqiopUf186KGHjh8/7tz/5ORkldycu/H+ +++rNleuXPnFF1+on/UzwK5M9kFPrc7VfOqbmR1icv/rB/TTTz/Vq8lT0rgU qjgNAAAQXur77pSUFPOrqJAzbtw4FcB0//73v6Vccpd6KLFHTZylYqez3bt3 q5i0d+/euro69cW084lEZdWqVStWrHA+1zpt2jS1FbfnAFVilKxr+O5+69at ahXZbmFhoWtCM/RKAqpeWFtb++STT6pm1cuZO3eu6yhZn/qgOaVW5+/ffepb qzvE5P7Xmg/offfdZzigKgyH9+o2AAAAZfr06ZJMZs6caX4VFXIeffRRQ/mi RYuk/PHHH1cP9+/fr6KRJKsXW9K/8l6zZs2xY8dcs6IrFdKcuX5HrxLjrFmz DOXl5eVqlaysrG3btqmft2/fbqgm+Vl9n244Y3nw4MHx48ertSZNmuR9nKeZ PmjNqfWBBx5wruNT31rdISb3v9Z8QOX/L4aNqnL9vyEAAABhlJKSos4NGi65 clZbW5uXlyf/qoeeZr4ypNYdO3aMbs3ixYv1cLVp0yYv/XQOaWqsqYQx5wus tObEOG/ePNfV1bVRn3766YYNG1QjBw4ccK32yCOPjHZ31lcf5Gm4iMyVmT5o zan1ySefdK7gU99a3SEm97/m+YCSWgEAgHXoYzV37drlqU5OTo5UmDBhwjff fKOZTq0HDx5ULS9YsCDHgyNHjhQXF6tq2dnZXvqpQprEs6+++iozM1Ot8v77 7zvXUYlx7ty5hnVPnDih6mdlZUk2Vj8b7qegNQ34VF+pf/jhh87lsop+pb/8 4D1dm+mD1pxan3rqKcOGzPet1R1icv9rpFYAABAJJLeobOP29KCiLuoRBQUF munUWltbq8Ke6yhNeUqC2ffff19fXy95TI1rzcjIMFSTPJacnGy4GktrinBz 5swZ3XQtv3PAU4nxscceM7SzZ88ePZnrp3YNs7AKeXXqqWXLlumFZWVlkyZN Umcy5aWNbhok4GWWMDN90DykVp/61uoOMbn/NVIrAACIEPq8TF9++aXrs1Ko ntWv2DKZWrXmQbOTJ0+urKx0rrl06VLV5saNG+WhmuTK4XDU1dXpdSRQqdVf fvllzWV60qNHj6qsK2FSn8VUv37fcK7ytddeG900h2pFRYUEPHUBmjRuuKjq zTffVKsfOnRIL1RjAyQN5uXlfffdd2pwqRR62plm+qB5SK0+9c3MDjG5/0mt AAAgIhQWFqo5poQk2F27dknsqa2t3bdv36uvvqrO1z3wwAN6XjKfWtevX6+a nTt3bklJiSrcvHmzylePPfaYOtcnJaqaRDt1Gbts/Z133lGFOTk5mrtbQS1Z skRV0Gco1RPj1KlT1Xffkv0WL16sXsInn3yiqqWnp6tq8ur0OPf555+rROo8 c9eKFStUzQ8++MD5tQt5yu3ONNkHt6nVp76Z2SEm9z+pFQAARIq9e/c+/PDD o50437NJQo66bZNiPrWKl19+WTUyduxYWUV9ya7OOjpf866f75VtSZZTpxxF amqqquD2BqbqJK10VX3trifG0U1nR59++mm9HYle+rROEonV9Kejm+bvmjFj hmRy9XDy5Mn6TWklc6qbf8lG9bOX1dXVEkdV/9V4CQOTffCUWk32zeQOMbn/ Sa0AACCCHDt27IMPPtAjljJ+/Pg333yzuLjYuabKS67TeH700UeGHKU1Tdm0 ePFiQ7Nz585VM4XqJHF98sknekIb3XR29/PPP9cnLlCR2JCs9u/fry7MnzZt WkNDg0pZktOkh+raJZXWXnvtNedJ+7WmcPjhhx/qZ5hVWk5LS3MesPrss8+q 5Llnzx7ndXfu3KkivfOZT53JPqgzyW4nHDPTN5M7xOT+93RA1R0WDBMdAAAA WIGkR4mvktO2bdumX63TdpKgDh48uH379ry8PEOAdCYRKz8/XzZ9+PBh5zGu figvL9/ZxPvm9u3bJ5uTjRom2A8IM30ITd9M7n8AAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAgHV80iTcvQAAAAC8IbUCAADA+kitAAAACKyqqqoJEyYsWLCg 1ZorVqxISkoaN27c008//dlnn3mpSWoFAABAYI0ZMyYmJuaBBx7wUqe6unrk yJExLV199dUlJSVu65NaAQAAECiSORMSElQE9Z5aJ0+eLHXOP//8BQsW7Nq1 66OPPrrooouk5O6773Zbn9QKAACAgEhPT4+Pj9dPnHpJrQ0NDd26dZM6WVlZ euGWLVuk5NRTT62urnZdhdQKAACAgDjzzDPVt/wOh8N7aj148GDfvn179epl KO/UqZOs+N1337muQmoFAABAQFx33XULFy5saGiYN29eqyMEXG3YsEHWiouL q62tdX2W1AoAAIDA8iO11tTUXHnllbLWzTff7LYCqRUAAACB5WtqraurGzVq lKzSpUuXPXv2uK1DagUAAEBg+ZRaKyoqfv/730v9Tp06rVy50lM1UisAAAAC y3xqLSgoGDhwoFTu1q1bdna2l5oSWdPS0rLcCVzHAQAAEEVMptZdu3ZdeOGF UrN3797ys/fKklodDkeaO4HrOAAAAKKImdS6f//+Hj16SLXLL7+8sLCw1TYZ IQAAAIDAcptai4uLMzMzV69erR4OGzZM6gwZMqSiosJMm6RWAAAABJbb1Jqe nq5mCZCfv/76a3X/rLi4uLNdbNu2zbVNUisAAAAC68UXX5RE+uCDDzoXZmRk SGHXrl3l5zlz5sR4tmnTJtc2Sa0AAACwPlIrAAAArI/UCgAAAOsjtQIAAMD6 SK0AAACwPlIrAAAArI/UCgAAAOsjtQIAAMD6SK0AAACwPlIrAAAArI/UCgAA AOsjtQIAAMD6JLI6nCQnJ4e7RwAAAICRpNa0tLTCZuHuDgAAAOAGIwQAAABg faRWAAAAWB+pFQAAANZHagUAAID1kVoBAABgfaRWAAAAWB+pFQAAANZHagUA AID1kVoBAABgfaRWAAAAWB+pFQAAANZHagUAAID1kVoBAABgfaRWAAAAWJ9E 1rS0tCwn4e4RAAAAYCSp1eFwpDUjtQIAAMCCGCEAAAAA6yO1AgAAwPpIrQAA ALA+UisAAACsj9QKAAAA6yO1AgDw1ltvjR49euLEiXV1daqkoaFh2rRpUihP hbdvABRSKwAAe/bs6dy5c0xMTFJSkiqZN2+ePOzSpcvevXvD2zcACqkVAADx xhtvSEw9/fTTc3Nzt2zZIj/Iw4ULF4a7XwBOIrUCAKDcfvvtklSHDh3av39/ +WHs2LHh7hGAH5BaAQBQioqK4uPjY5pccsklJ06ccFuttra2qqrqqGflLYX4 VQB2RWoFAEA3Z84clVpfe+01T3VKS0u3bt36ni8+bbJmzRpZUWJtKF8RYBuk VgAAlMLCQv1cq/wgD91W8yO1uoZYSbDEV8AnpFYAAJTbbrtN8ur1119/7bXX yg/y0G212tpaCa5eRgjkuVjTZPny5a7xVQJwiF8mEKFIrQAAiNTUVEmqZ5xx Rn5+/t69ezt16iQPpTCwWykvL1chluwK+IrUCgDAnj17VEzVh7O+9NJL8lAK 5algbFHiqyRVyatkV8AkiawOJ8nJyeHuEQAAoTZ8+HA1NkAvaWhoUIXyb/C2 q069Oo8cILsCnkhqTUtLK2wW7u4AABCNJLsazrtyrRZgwAgBAACswHXMwJo1 a5juFdCRWgEAsA6VXRkwALgitQIAYDVkV8AVqRUAAGuS7Gq4UCsvLy/cnQLC htQKAICVcaEWIlFVVdWECRMWLFjQas2tW7fOnDlz7NixiYmJGzdu9FKT1AoA gMW5DhjgQi1Y3JgxY2JiYh544AHv1VJSUtq3bx/TrF27dl5mYSW1AgAQERjs iohQUlKSkJCgUqj31JqVlSUxtWPHjvPmzdu8efPs2bMlwcbGxn777bdu65Na AQCIIJJdnW8IK9l1y5Yt4e4UcFJ6enp8fLx+7tR7ah05cqTUSUpK0kueeeYZ Kbnnnnvc1ie1AgAQcQwXajFaABZx5plnSuy8+uqrHQ6H99RaX1/fuXNnqXPg wAG98MiRI7GxsXFxcbW1ta6rkFoBAIhQ6kKtNWvWhLsjwEnXXXfdwoULGxoa 5s2b5z217ty5Uyp0797dUH7uuedK+Y4dO1xXIbUCABC5OMsKa2o1tWZnZ0uF yy67zFAuJVKemZnpugqpFQAAAIHVampdunSpVBg0aJChfOjQoVK+ZMkS11VI rQAAAAgsk6l1yJAhhvLBgwdL+fLly11XIbUCABCp8vK0hISVKW+Gux+AUaup dc2aNVKhX79+hvK+fftKeU5OjusqElnT0tKy3Alw7wEAQIB8X3xixYcrt/e8 RIuJ0Xr21NydmALCqNXUevToUanQuXPnhoYGvVB+7tSpk5QXFBS4riKp1eFw pLkTlNcAAADaQPLqouU7Jj70+snI2rRsT/hbuPsFtNBqahU9evSQOuvXr9dL cnJypKSn/EfMHUYIAAAQEVRe/d8nPzVEVi0hIdxdA4zcptbi4uLMzMzVq1er hxMnTpQ6N954Y01NjTyUf2+44QYpmTJlits2Sa0AAFicnleJrIgUblNrenq6 FHbp0kU9LCgo6Natm5QMHDhQkuqAAQPk5/j4eLfDAzRSKwAAFuacV4msiCAv vviiRNAHH3zQuTAjI0MKu3btqpfk5eUNHjw4NjZW3QF20KBBXu5QTGoFAMCC DHmVyAobKyoqWrt2bX5+vvdqpFYAACzFNa+qyPpDXiWyIiqRWgEAsAj3efX5 ZR+mLSGyAqRWAADCzlNelcLGWwkQWQFSKwAAYeUtr2qaMbImJoa5u0D4kFoB AAiLVvKq5hJZU1PD2V0g3EitAACEWOt5VSOyAkakVgAAQsZUXhXLlxNZAQNS KwAAIWA2r2pEVsA9UisAAEHlQ17ViKyAR6RWAACCxLe8qhFZAW9IrQAABJzP eVVziazyEIATiawOhyO5WVpaWrh7BABABPMnr2pEVqB1klolqRY2C3d3AACI VH7mVY3ICpjCCAEAANrI/7wqUlOJrIAZpFYAAPzWpryqEVkBH5BaAQDwg+TV Vz/e6H9e1YisgG9IrQAA+CQAeVUkJv6QV3v2JLICrSK1AgBgUmDyqkhIILIC viK1AgDQqoDlVY3ICviJ1AoAgBeBzKsakRXwH6kVAAC3ApxXxfDhLSIrAF+Q WgEAMAh8XtXMRtavv/56y5Yt/m8FsC9SKwAAuqDkVc1sZF2zZs17TfLy8tq0 OcCOSK0AAGjBy6tay8gqP3tWUVGhUuunn35aXl7e1u0C9kJqBQBEuSDm1bw8 85G1eY08Pbi2deuAvZBaAQBRK4h5VfMnsipbt25VwXXNmjUB6AZgF6RWAEAU Cm5e1fyPrKK8vHz58uUquEqCDUx/gMgnkTUtLS3XSbh7BABAEElenfVGdhDz qtYUWfW8KktCgq8NSHD99NNP1TiBo0ePBqxjQCST1OpwONKaZWVlhbtHAAAE RSjyqli+vI2RVZHgypVZgDNGCAAAbC9EeVVziayJiW1pTL8yazm30AJIrQAA WwtdXtVcImtqatub1K/MYoArQGoFANhSSPOq5hJZA3R21PnKLG49gChHagUA 2Eyo86pITQ1GZFUY4AoopFYAgG14yqsr1u8P4laDGVkVbj0AaKRWAIAthCev isTEYEdWhVsPAKRWAEBEC1teFQkJP+TVnj2DF1k1y996oAG2Fu7310mkVgBA hApnXhXOt74KcmRVnG89YJ0BrnqwqW9WB1vQD6h1siupFQAQccKcVzWXyBoq R48etc4AV+ewKiGnpqamuklVs0pEIP3wqaMph1VPsGHPrqRWAEAE2ZZXKOk0 nHlVC1tkVSwyg6seWWtrayXhVFRUlJSUFBYWSq4+0uzw4cOHEFGOOJFDWVRU JIdVDq4cYjnQYQ+upFYAQESwRF7Ny2sRWeXnkLPCOAEVXerq6qqrq48fPy7Z RvJqWVmZPLTC98gICDm+ElblsMrBlUMsB1qOrxSGMbiSWgEAFmeJvKpZIrIq +jiBsMwnoE6xqkhTUlLy/fffS5gJfTcQSnKI5UDL4ZaDrgYMhCW4kloBAJZl lbyqNUVW5xmuEhJC3YGW1HwCoR/dqp9llfRSVFR07NixEHcAYSSHWw66Cq5h OeNKagUAWJCF8qrmcrfWcEdWzel0a4hHt6oTrdXV1cXFxUTWKCQHXQ69vAHC crqV1AoAsBRr5VXNJbKmpoanGy5Cf7pVv/zq+PHjEptDtl1Yihx6eQPoF2eF ctMSWR0OR3KztLS0UG4dAACd5fKqZt3IqjlNJhCyAKnGBlRWVsoWa2pqQrNR WI0c+oKCAnkbqHECody0pFZJqoXNQrlpAAAUT3lVysPZLcmoIblbq3/0QQKh Sa1qHGNtbW1ZWRknWqOcvAHkbSBvhhCPbmWEAAAgjCyaV0ViopUjq9Y0BVYo h7aq4QE1NTVFRUWlpaUh2CIsS94A8jaQN0OIBwmQWgEAYWHdvCoSEkJ8t1b/ qIlbl4eke/rwgMOHD1dVVbWxtba3oHvllVdeeOGF7OzsQDWIVsnhk7dB6AcJ kFoBACFm6byqudz6yqqRVWu+ICvEqfXgwYP19fV+tLBjx46pU6fecMMN3bt3 j42N7d2795/+9Kfnn3++jdO9nnbaaTExMZMmTWpLI/CJvAHkbUBqBQDYmNXz quE+AiG/W6uvQjmNgBrUWlFRkZ+f78fq6enpZ5xxRow7AwcO3L/f/wvuQpla U1NTH3300eeeey4E27I4eRvIm0ENbQ3ZRkmtAIAQWLR8h6XzqmahW1+Zt2bN mtCn1r179/q67htvvBEbG6sy6jXXXPPYY4/Nmzdv/PjxvXr1UoXdunUrKiry r2OhTK2//vWvZVsXX3xxCLZlcfI28JRat27dOnPmzLFjxyYmJm7cuLHVptau XZuUlCTvB/l33bp1XmqSWgEAQRUBeVVzufVVJERWLUypNU/2lS/q6up+/OMf S9g79dRT3333XeenysvL77rrLhVcX3jhBf86RmoNC3kbuE2tKSkp7du310+k t2vXLjk52Us7Dz/8sNRxru/lUJJaAQBBEhl5VbPira9MCn1qlZzpa2rdvXu3 CiQ33XST67PHjx/v0qWLGifg+mx9ff2+fftWr169d+9eSb9u2/eeWsvKyjZu 3Lhhw4aSkhLv/ZRtHThwQHapl3m92p5a5fWuXbu21anD9M7s2LHjxIkTgW25 1V1qhrwN5M1gSK1ZWVkSOzt27Dhv3rzNmzfPnj1bEmxsbOy3337rtpFFixbJ /oyLi3vttdfkffL666//6Ec/kpL333/fbX1SKwAg4CImr2oukTUxMdwd8kHo U6tEo++++86nFSWxqNT6yCOPuK2QnZ394YcfLlmyxLlQtvXkk09269ZNPwt3 1llnTZ06VcoNq3tKrRLhrrvuOucBtFdddZXbqQYkvM2YMePcc8/Va/7kJz+5 8847nRPghRde6HwKsX2Tfv36eX/t0oKq+fLLL8thGjBgQIcOHVQL8fHxhjPP +gtPTEx07swpp5xy++2379y5s+0tm9ylZsjbQN0hyzm1jhw5UppNSkrSS555 5hkpueeee9w28uc//1melV7pJTNnzpSSO+64w219UisAIIAiKa9qLvcRsNKt r8yIiNRaU1Nz+umnSxSR4Hf48GGTa40ZM8btpVujR4821HSbWrdv337mmWe6 ri6F27ZtM7QgbbrdlmTX9evXqzrnn3++a4XevXt7fxXyelXNu+++Oy4uzrWF V1991bDK//3f/7ntzAUXXHDw4MG2tGx+l5rhmlrr6+s7d+4sDR44cECvduTI kdjYWOmh22z8u9/9TurPnz9fL3n77bdjmv5/4XajpFYAQEC4zauz3sj+vtjU 95thYPn7CLQqIlKr0M95SvR66aWXWv0We86cOar+0KFD33rrrdzc3HfeeUd+ VoXPPvusc2XX1CrtS0KOaTpLmZiYuGrVquzs7OnTp6uzkb169XLuwIwZM1Sz l156qcQnibvvv/++Ptq2b9++qlp+fv6uXbsGDx4shZJgdzVpdeoDPVvGNJ3Y fPnll7c3eeyxx9SZ227dulVUVOj1p02bpir/8pe/lNgpLzwjI+Pee+9Vhb/4 xS/0+zv42rJPu9QM19S6c+dOaap79+6Gmuq88Y4dO1wbmTVrljzVv3//4uJi rWmQw5AhQ6Tk0UcfdbtRUisAoI0iL69qLe8jEJmRVYuc1Hrw4ME+ffroKUvS 44ABA+6///6PP/64pqbGUPnIkSPq8hyJkWVlZXp5SUmJZEiVRZ1vUuCaWseP H682lJaW5tzyK6+8osqfeOIJVXLo0CFV8uMf/1i261xZfXktli1bphf6Oq5V z5ann3766tWrnZ/661//qp7Sr5rXO9OzZ8/CwhbfTYwdO1Y99fe//92Pln3d pWa4plb5r4E0ddlllxlqSomUZ2ZmujYiufqGG26QZ88++2zZt+ecc478fO21 16oQ64rUCgDwW0TmVS2S7iPgXaSkVq0puP7xj39UCdOZxBWJr99//71eMyMj Qz21cuVKQyOSctVT8sL1QtfU+stf/jKmaYot126oBDVixAhDg/KDoaYEp8TE RMm3K1as0Av9Tq2SzQxPLV26VD2lj0GVPKZKPv/8c0Pl6upqNQ/D7bff7kfL vu5SM1xTq9ruoEGDDDXVGV3DuGWlvLx8woQJhrfEuHHjPF2ARmoFAPghUvOq 630EfLwi3lIiKLUqEgVffvnl3/72t87XBIl+/frpQ16nT5+uCj/88MMvWnr1 1VfVU//85z/1Ng2pVQKeqvM///M/X7iIj4+Xp8455xxV+fHHH1eVTc4W63dq TXS5yk99nx7jNABVErIqcXum8cYbb4xpGt7gR8u+7lIzPKXWIUOGGGqqYRVu 7+B28803y1M/+9nP5Nljx47Jvz//+c+lRMrdbpTUCgDwSaTmVS0i7yPgXcSl VmcbN26cNm3af/3Xf6nUNLz5cKgrdLy777779HYMqVWfssA7FZJ/85vfxDRd dG+yz36n1hdffNHw1L59+wzZcsSIETFNYxXcNjVlyhTngO1Ty77uUjNcU6u8 G2Oa/gNiqKkGIeTk5BjK9+zZExsb27Fjx927dzt3Xk1+5XrRnNaUWtPS0rLc 8anzAADbi+C8qkXqfQS8i+jUqkh0OeussySlSHqprKzUmpOkGOCOKp8xY4be giG1qtGVnlqIaZoZQH5QqfW3v/2tlJx77rkmexuC1OopQrcltfq6S81wTa1H jx6Vpjp37uw8F5b83KlTJykvKCgwtPDFF1+4TblXXnlljIcpWyW1OhyONHd8 6jwAwMYiO69qEXwfAe8iIrWWlpYeOnTIcK2Ts6lTp6pMtWrVKv1hhw4dVIht lSG1njhxQs0V8Pjjj7e6rv7VuWumciuoqVWfQMDtCAEVsF1HCJhp2dddaobb +Vp79OghG9KnCxM5OTkxTdeXubawYcOGmKa5yOrr653LL730UilfunSp6yqM EAAAeCF51RBWIyyvai6TskbUfQS8i4jUqq5/b9++vaebat13330qZW3atEke fvjhh84htlWuV2P94he/kJLrr7++1XVl16ltLVy40PBURUXFP/7xj5SUlI0b N+qFKrVecMEFZjqm+Zgt9QujfLoay0zLvu5SM9ym1okTJ8pWbrzxRjU1hPyr pgiYMmWKqiCBPDMzU016IM927dpVnnU+zfvuu+/GNN0ty3muAx2pFQDglh3y qmaHSVm9OHbs2P79+81P3d8WfqdWSSkqMv35z392vYWotKZGCEhQUfOLyitS 9Z2nJ1U+++yznzaRGKYXuqZWfaJ+wxfH0v+bbrpJVtenFygoKIiNjY1puj7L eQ5/oc+S+uWXX+qF6kt8cejQITOv3adsKR1QJT179jRcHeZl5iszLfu6S81w m1plf6rr7AYOHChJVQ0/iI+P109lp6enS0mXLl3Uw3feeUd1TI7I1KlT//CH P6gZul566SW3GyW1AgAMbJJXNZtMyuqFZIaqqir/7sjpq7aMa9Una+3fv//C hQtzc3PLy8vXr1///PPPq7spiQceeECv73A4VOHgwYMlecoWN23a9NRTT6nr dGSVkpISvbJrat27d+95552nvhN//PHH//Of/0iJxLPLL79cNavP1yqSkpJU 4SWXXDJ//vxdu3ZJTX3GV4l5zi9k3LhxqnzkyJGff/65VPb+wn3KlprTnAaS 9/71r3/t3LlTOqPfuuvSSy91vcuAyZZ92qVmuE2tWuP48TzZhPq/QEzTRFhb tmzRn1VzcHXt2lUv+fjjjyWlxzSTiCtR1tNGSa0AAJ198qpmn0lZLUJPrXv2 7PF1XYmpakYjTyQNOt9uQLal353KQDKq88lPzcMdXXNyctRFQK5GjBhRXV3t XFnPogY//vGP165d61xz2bJlzhXM39HVZLYU99xzj9vO/OQnP3F7R1eTLfu0 S82Qt4Hb1KoUFRXJrsvPzzfZmrwcqW843e2K1AoA0GyWV10nZUWbqdRaUVHh R2rVmoaJ/vWvf1XjGHWxsbEXX3zxK6+84lpfQqzD4Tj77LP1yh06dLj99tud T9wp6myhPnJSl5WVdfXVVztv7oILLpCMZ4isoq6ubsaMGerGo0r37t1vueUW t0MvFixYoC5yF3369PH+qtVl9WL+/PmGpw4cOKCeev31153LZSdPmzZNOuD8 wm+99VbDHVH9aNn8LjVD3gbl5eWeUmuQkFoBIMq5zatSGJF5VWuKrBJT7TXD lUmSZExeC+8HPbXu3bu3Le3k5+dL8JBAtWLFCsMYS1eSJ2Vz69at2717t38D IUpKSjY2OXbsWKvb2rdvn2xLUl+rzZaVlRUVFfl6F1Tz9M5s27ZNwmFgW27j LlXy8vLkzUBqBQCEht3yquYyw1V0RFbJIbNmzVLXNAn5Yfbs2a7XPbVRoFIr 7EHeBqRWAEAI2DCvaradlLVV6hKeXr16SXadOXPmT37ykxh3N/psIwknkoRP nDixf//+0Fz/Bcuqr6/Pz8+XN4O8JUitAIAgsWde1VwmZZWH0aGqqur000/v 1q1bYWGhKjl06NAZZ5zxox/9KLCnW/XUeuDAATVFFaJWZWWl/OeF1AoACBLb 5lXN/jNcebFly5ZevXr95S9/cS5Ulwvt27cvgBtSqVVC8pEjR/SEjOgkbwB5 G8ibgdQKAAggCaV2zqsaM1wZlZSUdOnSJRjnWuvr66urq9WtDQLYMiKOvAHk bSBvBnlLkFoBAG1n/7zqOsNV1EdWrfHEc0JMTMxdd90V8Jb1KVv37t0bwDva I7JUVVXl5eV5maw1eEitAGA/9s+rWlNkjb7pAryTCDFp0iQ1MenRo0eD0b4E FcmrBQUF/s3aChuQQy9vAHkbkFoBAG0RFXlVi9IZrryrrq6+++67VWT146ar JtXX19fU1Bw/fnzfvn2ME4hCctDl0MsbQN4G8mYI8dZJrQBgD9GSVzWX6QIC PcVTJCouLlb3gerfv3+rt8VsC/2arGPHju3evdvMhPywDXlryUGXQx/667AU iawOhyO5WVpaWog7AABooyjKq0IyalTOcOWFRNbLLrtMIuuIESPKysqCvTk1 TuDEiRNFRUV79uzJzc09fvx4sDeK8JJDLAdaDrccdDn0oR8boEhqlaRa2Cz0 HQAA+M1LXg1314LD+dqrqJnh6q233ho9evTEiRP1OQEkMEybNk0K5Sl5OGrU KIms8m/IJv/Xg+uxY8fy8/M3bdokkebQoUPl5eWh/9YYQSKHUg6oHFY5uHKI 9+3bJ4c7jJFVY4QAAESmqMurUTxdwJ49ezp37iy5NCkpSZXMmzdPHnbp0mXv 3r0rVqxQN3L91a9+dW1LgZ2v1UAijRoqcPz48aNHj8q2JNvk5OSsWbMmOzs7 Kysrs8lKRBR11OTwyUGUQykHVA6rHFw5xHKg1cCAMP7HhNQKAJEl6vKq1hRZ JaZG8bVXb7zxhuTS008/XSLEli1b5Ad5uHDhQnlq6tSpMR5s27YtqL1SY1yr q6srKysl0hQXF3///fdHjhw51OTgwYMHEIHkwKkjKIdSDqgcVjm4cojlQIdl LKszUisARIpozKsa0wWcdPvtt0sQHTp0aP/+/eWHsWPHhrtHJ9U1qa2tlVRT VVUl8aaiWTkikH745FDKAZXDKgdXHeVwv9dIrQAQAaI0r2ou0wUkJIS7Q2FT VFQUHx+vTqJecsklJ05Y6zo7NWAAtmSdscqkVgCwsujNqxrTBRjNmTNHpdbX Xnst3H0BwoDUCgDWFNV5VYvS6QK8KCws1M+1yg9M+4MoRGoFAKuJ9rwaxdMF eHHbbbdJXr3++uuvvfZa+UEehrtHQKiRWgHAOqI9r2pce+VeamqqJNUzzjgj Pz9/7969nTp1koepUT9kAtGG1AoAVkBebWSIrFF87ZWzPXv2qJiqD2d96aWX 5KEUylPh7RsQSqRWAAgv8upJhmuv5CGaDB8+XI0N0EsaGhpU4XDORSOakFoB IFzc5tWJzy+Luryqce0VgNaRWgEg9MirP+DaKwDmkFoBIJTIqy1IZHU+xSqR FQA8ILUCQGiQV42YLgCALySypqWl5ToJd48AwG7Iq25w7RUAH0lqdTgcyc04 7woAAURedS8hgVu1AvAVIwQAIBjIq+5x7RUAf5FaASCwyKseuV57JSUAYA6p FQAChbzqDddeAWgbUisAtB15tRVcewWgzUitANAW5NXWcd8rAIFAagUA/5BX W8e1VwACh9QKAL4ir5rCQFYAAUVqBQDzyKtmpaa2iKwJCeHuEICIR2oFADPI qz4w3ESAa68ABAKpFQC8I6/6gIGsAIKG1AoAnpBXfSORVWIqNxEAEBykVgBw RV71GddeAQgyUisAOJO8+urHG8mrvuEmAohADQ3+LwgLUisAKORVfxgGsnIT AUQCPXzWNy919a0vemWya7iQWgGAvOon14GsRFZYm3NelSBaU6dVNy1VtY1L pYdFPatqyioqwZJdQ08iq8PhSG6WlpYW7h4BQOiQV/3HQFZEGj2v1jblVYmj FTXa8WqttEorqdSKm5ZjJ7Qip0UeqnKpINWksqwiK8rqtU7ZFaEhqVWSam6z wsLCcPcIAEKBvNomDGRFpNEjq8qr+0u1Wf/RRvxbu+QF7afPm12k8o1varNX Nq6usivBNZQYIQAg2pBX24SBrIhMemQ9UaMt2qr9v5e0/07xf/mflxobkab0 4IoQILUCiB7k1bZiICsikzodWlvfeIJU0qbEzj5tXqQRaUoalGY53RoapFYA 0YC8GgAMZEXEami69qq6TttbrPV/Ues9NzCLNJVX3NhsXT2pNRRIrQDsjbwa GAxkRcTST7RW1Ggz/6NdPDeQy4zljc1yujU0SK0A7Iq8GhgMZEWEUyNaq+u0 sirtuje0i57zZ7npLW3xDm3zEW3qly3Kr01rbLaa0a1Otm7dOnPmzLFjxyYm Jm7cuLHV+ocPH37++ecnTJjw6KOPvvfee/X19Z5qkloB2A95NWAMowIYyIoI pIYHVNY2zmTVJ0XrNcefRfKq7ndv/lDee25js9I4gwSUlJSU9u3bxzRr165d cnKyl/offfRRp06dYpwMHDiwrKzMbWVSKwA7Ia8GkmFUAANZEZn01Hq0XOuZ 7M+StKJFg3e+3+JZaZbUqmRlZUlM7dix47x58zZv3jx79mxJsLGxsd9++63b +jt27DjttNMkqU6aNGnXrl1ffvllnz595OGYMWPc1ie1ArAHyauz3sgmrwaM YVQAA1kRsfRBrQXl2k+e9Xm54pXGWwzo9pUYK0iz+tBWV5LcBjWRSOZc/s03 36jyq6++urq6Osj7IERGjhwpmTMpKUkveeaZZ6TknnvucVv/7rvvlmcnTJig l6xdu1ZKzjrrLLfjBEitACIdeTXADANZGRWACKen1sNlWo/ZPi8r97ZobdQC YwVp1ktqzcnJiY2NlSR2xRVX6IUFBQXx8fFSKE8tWrQoyDsgRCRndu7cWV7U gQMH9MIjR47Ia4yLi6utrTXUr6ur69SpU7t27WRvOJdnZGRkZma63QSpFUDk Iq8GnutAVgmxQCRTqbW8WjtUpsX/3bdl8uctmnox200daVYa95RateYzkGLl ypVaU1obPny4Knn66aeDvwNCZOfOnfKKunfvbig/99xzpXzHDuPH8vbt26W8 f//+DQ0NS5cunTVrVkpKyqpVq7xsgtQKIBKRV4PCMJA1ISHcHQICQE+tB0u1 85J8WH6a0mJswN7ixhLXatLsca+pdePGjep060033SQPH3nkERVZ77jjjpDs gBDJzs6WF3XZZZcZyqVEyl1Pny5evFjKr7rqqmuuucb5aqw777zzxIkTbjdB agUQWcirQeE6vVVqarj7BASGSq0SLA+Uauc+02L577naH95p/NdQrpZPtrdo R2q6rXagtdQqbrvtNnVBfVJSkn6lfGVlpccVItDSpUvldQ0aNMhQPnToUClf smSJoXzBggVqV0ikv/fee999993p06fHxcVJyeTJk91ugtQKIFJ4yqsr1u8P d9ciHNNboW1eT98U4sWn7jmn1u6zflj6PNd4+lQUV2rXvt7iKVnubTna9B+r jBX0xUxq3bx5s0RW/XRifHz8oUOH/NjVVqZS65AhQwzlgwcPlvLlLp8qb731 ltobTz31lF742WefSckpp5xSWlrquglSKwDrI68GUWoq01uhjQy/myFYfOqe c2o9e+YPy4xlP9SR4HrNv3546uI5JwOtIj9LifO6zouZ1Cpuv/12FdLi4uLW rVvn00uICGvWrJFX169fP0N53759pTwnJ8dQ/vHHH6vzz+Xl5c7lvXv3lvLs 7GzXTUhkTUtLy3UnsK8FAPxAXg2uhASmt0LbRVBq7fr0D8tDLZvZcEi7MPnk UynftHjq5rdarGhYzKTW0tJSiXMqtQ4bNsyn/keKo0ePyqvr3Llzg9OOkJ/V TQQMEwVoTbMrSHmHDh0M0wtcfvnlUp6RkeG6CUmtDocj2Z1gvCIAMIm8GlxM b4XAiZQRAgdLtTOfarEs39Oi5vpDjYUj32xRODfLuJZhafVqLEllv/nNb5wv OHJ7ItEGevToIa9u/fr1eomKpj3lE8ZFVVWVGsXqfOZZ9tU555wjhZs2uTnK jBAAYDXk1aBjeitEE+fUesaMFssFsxuTqrPUb1uU5B1rrGNYy7C0mlrHjBmj wuoVV1yh7nZ63XXXBfEFh8/EiRPl1d144401NTXyUP694YYbpGTKlCmqQnFx cWZm5urVq9XDu+66S54dPHiwfmHas88+KyUXXXRRg7u9SWoFYB3k1VBgeitE Gf0uAxIvOz1pXHr8vXFQqye//7ebVQyLNOvlLgNz5sxRkbV///4VFRV//OMf nedutZmCgoJu3bqpGRIkqQ4YMEBdeqYPD0hPT5eSLl26qIf5+fmqvuycxMTE W2+9VU0p8PHHH7ttn9QKwAq25RVKOiWvBhfTWyEqOd8b60fT3SxXvOw+uM7J dF/fsHi5N9aHH36opg6QbLZv3z4pWbdunUqtV111VfBfehjk5eUNHjxYzU+r JsLasmWL/mxGRoYUdu3aVS/Jzc0dNmyYXr9Hjx7vvfeep8ZJrQDCi7waIkxv hWglYbKuXjtRox05rsVNd7/c5RKU9hzTfpzksb7zIs1K43UuqXXt2rVq3OYp p5yyYsUKvXzEiBEqoS1btsy4VbsoKiqSl5+fn2+y/sGDB1evXr1t2zbXG786 I7UCCBfyaugYRgUwvRWiiZ5aC8q1zjO00xLdL+NbpqERb3is6bx0fbqxWdfU Wlpaet5556l0On/+fOeWV61apcqvv/76kOwA+yC1Agg98mrouI4KYHorRBmV WqtqtaIT2iX/0E59wuMydYl27ETjMu4Tb9WcF2lQmpXGXc+1IuBIrQBCibwa UowKAJpSa32DVl2nlVRq92dop0wL5DI+vbFZaVw2QWoNNlIrgNAgr4YaowKA ZpIna+q08mpt4+HGuao6PB6YRZqSBqVZaZzIGgKkVgDB5imvSnm4u2ZTjAoA WlKDBCqbBgm8mK11mKa1f7ytizQiTUmDlQwPCBVSK4DgIa+GAaMCAHfqm0+3 Hi5rvN3Vf03X2k31f5HVU75pbEqdaK0nsoYEqRVAMJBXw4NRAYAH6nRrdZ1W VtWYNlfla39ZqF34rHbK41rsY2aX05/Q+szR7l2krd7f2Mjx6sYGOdEaMqRW AIFFXg0PRgUArdGDa3m1VlihHSjVdhZqm49oGw5p6w5oa/afXFY7LXrhtwcb q0llWUVWlNXLiawhR2oFECjk1bBhVABgjgquNXWNg1GPVzeOSj1a3nibgENl jTdmPeBhkaekglSTysdONK4oq9cQWUOO1Aqg7RYt30FeDRtGBQA+krSpsmtV beMiEbSipnEpr3azqKdkqaw9WV/lVVkQYqRWAG1BXg0nRgUAbVDfcDJ8+rpw 7VW4SGR1OBzJzdLS0sLdIwCRgbwaZowKABBlJLVKUs1tVljInxsArSCvhl9C AqMCAEQbRggAMI+8Gn6MCgAQrUitAMwgr1qC4cIrRgUAiCakVgDeuc2rs97I /r74RLi7Fk1cT7EmJIS7TwAQUqRWAJ6QV63CcOGVLKmp4e4TAIQaqRWAK/Kq hbiOCsjLC3efACAMSK0AnJFXLYQLrwDACakVgEJetZbUVC68AgBnpFYA5FVr cT3FynSsAEBqBaKb5FVDWCWvhtny5Y2nVRkVAAAuSK1AdCKvWhHTsQKAZ6RW INqQV62IC68AoDWkViB6kFctiguvAMAEUisQDcirFsWFVwBgGqkVsDe3eVUK yavh53rHK0YFAIBnElnT0tJynYS7RwACg7xqaVx4BQA+ktTqcDiSm3HeFbAB 8qqlceEVAPiFEQKAnZBXrY5TrADgL1IrYA/kVavjwisAaBtSKxDpyKsRgLmt AOtpaPB/QViQWoEIJaGUvBoBOMUKWI8ePuubl7r61he9Mtk1XEitQMQhr0YM 5rYCLMY5r0oQranTqpuWqtrGpdLDop5VNWUVlWCDkV0zMzPnz58/d+7cTz/9 tLKyMpBN2wKpFYgg5NVIwoVXgMXoebW2Ka9KHK2o0Y5Xa6VVWkmlVty0HDuh FTkt8lCVSwWpJpVlFVlRVq91yq5tV1RUdOWVV8Y4ufDCC9euXRuApm2E1ApE BPJqJJF0KhmVU6yAleiRVeXV/aXarP9oI/6tXfKC9tPnzS5S+cY3tdkrG1dX 2TVQwfW2226TpHr55Ze//fbbX3311ahRo+Rhz549KyoqAvHqbYLUClgceTXC cIoVsCQ9sp6o0RZt1f7fS9p/p/i//M9LjY1IU3pwbYvjx4936NChffv2hw4d au5tw8UXXyzB9euvvw7Ai7cLUitgWeTVCJOXxylWwJrU6dDa+sYTpJI2JXb2 afMijUhT0qA028bTrXv37v3f//3fhx9+2LlQnX1999132/ribYTUCliQl7wa 7q7BA06xAhbW0HTtVXWdtrdY6/+i1ntuYBZpKq+4sdm6+gBfllVSUnL66adL as3NzQ1kuxGO1ApYCnk18rjObZWQEO4+AfiBfqK1okab+R/t4rmBXGYsb2y2 7adbDf7yl79IZP3d734XsBZtgdQKWAR5NSJxihWwPDWitbpOK6vSrntDu+g5 f5ab3tIW79A2H9Gmftmi/Nq0xmarAzG6Vamvr58wYYJE1vPOO08f5gqF1AqE HXk1InH7ACBCqOEBlbWNM1n1SdF6zfFnkbyq+92bP5T3ntvYrDQekEEClZWV t9xyi0TW888/n7EBrkitQBiRVyMVp1iByKGn1qPlWs9kf5akFS0avPP9Fs9K swFJrWVlZcOGDZPIeskll+zfv79NbdkUqRUIC/JqpOIUKxBp9EGtBeXaT571 ebnilcZbDOj2lRgrSLP60FZXs2fPHtTkyy+/dC7/5ptvVPnVV19dXV1dVFQ0 YMAAiazXXXddaWlpkHdJpJLI6nA4kpulpaWFu0eAzZFXI5jrKVbmtgIsT0+t h8u0HrN9XlbubdHaqAXGCtKsl9Sak5MTGxsrcfSKK67QCwsKCuLj46VQnlq0 aJGU/OlPf5KHt9xyS21tbXB3RyST1CpJNbdZYWFhuHsE2BZ5NYK5PcUqhQAs T6XW8mrtUJkW/3fflsmft2jqxWw3daRZadxTahUjR45UN2lduXKlPKyrqxs+ fLgqefrpp6VkxYoV6uGll146pKX09PSg76DIwQgBIATIq5GNU6xAJNNT68FS 7bwkH5afprQYG7C3uLHEtZo0e9xrat24caM63XrTTTfJw0ceeURl1DvuuENV eOKJJ2I8ePnll4O+gyIHqRUIKvJqZGMUKxD5VGqVYHmgVDv3mRbLf8/V/vBO 47+GcrV8sr1FO1LTbbUDraVWrflGV+3atUtKSlJxdODAgZWVlR5XgDukViBI 3ObVic8vI69GDE6xAiaNHh3qxRfOqbX7rB+WPs81nj4VxZXata+3eEqWexe1 aOQfq4wV9MVMat28ebNEVv0Manx8PHOx+oHUCgQceTXicYoV8InzL0toFl84 p9azZ/6wzFj2Qx0Jrtf864enLp5zMtAq8rOUOK/rvJhJreL2229XkTUuLm7d unU+vQQopFYggMirdsBcrICvIie1dn36h+WhT1tU23BIuzD55FMp37R46ua3 WqxoWMyk1tLS0n79+qnUOmzYMJ/6H3G2bt06c+bMsWPHJiYmbty40fyKixcv njRpkpdVSK1AQJBX7UDSqWRUTrECvoqQEQIHS7Uzn2qxLN/Toub6Q42FI99s UTg3y7iWYWn1aqza2trf/OY3ztdYZWdn+/QSIkhKSkr79u31V9quXbvk5GQz K+bl5Z1xxhmyyoIFCzzVIbUCbURetYO8PE6xAnblnFrPmNFiuWB2Y1J1lvpt i5K8Y411DGsZllZT65gxY1SEu+KKK1Siu+6664L4gsMnKytLYmrHjh3nzZu3 efPm2bNny+uNjY399ttvva9YV1f3q1/9Su0lUisQDORVm5B0avjyMSEh3H0C EDD6XQYkXnZ60rj0+HvjoFZPfv9vN6sYFmnWy10G5syZo8JY//79Kyoq/vjH PzrP3WozambapKQkveSZZ56Rknvuucf7irNmzdJPz5JagcAir9qE61VXnGIF bMf53lg/mu5mueJl98F1Tqb7+obFy72xPvzwQzV1QLdu3fbt2ycl69atU9ns qquuCv5LD6n6+vrOnTvLSztw4IBeeOTIkdjY2Li4OC/3/JJ9csopp/Tp0+em m24itQIBRF61D8OQAFmY2AqwIwmTdfXaiRrtyHEtbrr75a73jGvtOab9OMlj fedFmpXG61xS69q1ayWtSQyTSLZixQq9fMSIESq4Llu2zLjVSLZz5055Ud27 dzeUn3vuuVK+Y4f7v5IVFRU//elPO3TosHr16lGjRpFagYAgr9oHp1iBaKKn 1oJyrfMM7bRE98v4lmloxBseazovXZ9ubNY1tZaWlp533nkqnc6fP9+55VWr Vqny66+/PiQ7IESys7PlRV122WWGcimR8szMTLdrjR07Vp5NbDppQGoF2o68 aiucYgWijEqtVbVa0Qntkn9opz7hcZm6RDt2onEZ94m3as6LNCjNSuOu51qj zdKlSyVzDho0yFA+dOhQKV+yZInrKhkZGbGxsQMHDlTjB0itQFuQV23F7b0D pBCArUmYrG/Qquu0kkrt/gztlGmBXManNzYrjcsmSK2SOYcMGWIoHzx4sJQv d/k+q6Cg4JxzzomLi8vNzVUlpFbAP+RVu+H2rEAUkzxZU6eVV2sbDzfOVdXh 8cAs0pQ0KM1K41EeWcWaNWskc/br189Q3rdvXynPyckxlN96661Sfssttyxp NmzYMClxOBzy87Fjx1w3IZE1LS0t151gvSrA2sirduM6sRX3DgCijBokUNk0 SODFbK3DNK39421dpBFpShqsZHhAk6NHj0rm7Ny5c4PTvpCfO3XqJOUFBQWG +hdddFGMZ25HFEhqlUyb7E5wXxtgPeRVu+GqKwDN6ptPtx4ua7zd1X9N19pN 9X+R1VO+aWxKnWitj/rIqvTo0UMC5/r16/WSnJwcKekpn70unnrqqb+11Lt3 b3WRmvzsds4BRggAGnnVlrjqCoATdbq1uk4rq2pMm6vytb8s1C58VjvlcS32 MbPL6U9ofeZo9y7SVu9vbOR4dWODnGjVTZw4UWLnjTfeWFNTIw/l3xtuuEFK pkyZoioUFxdnZmauXr3a7eqMawW8I6/aUF5e4zlVTrECaEkPruXVWmGFdqBU 21mobT6ibTikrTugrdl/clnttOiF3x5srCaVZRVZUVYvJ7K6KCgo6NatmyTP gQMHSlIdMGCA/BwfH68PD0hPT5eSLl26uF2d1Ap4Ql61IcmrnGIF4JkKrjV1 jYNRj1c3jko9Wt54m4BDZY03Zj3gYZGnpIJUk8rHTjSuKKvXEFndycvLGzx4 cGxsrBqeOmjQoC1btujPZmRkSGHXrl3drnvnnXfKs++953LLh2akVkQh8qo9 paZy1RUAMyRtquxaVdu4SAStqGlcyqvdLOopWSprT9ZXeVUWeFJUVLR27dr8 /PzANktqRVSRvPrqxxvJq3bDVVcAfFffcDJ8+rpw7VW4kFoRJcirtsWQAACI DqRW2B551baWL3dz1RX3ugIAmyK1wsbIq7bldkgAp1gBwNZIrbAl8qqduQ4J SEgId58AAEFHaoXNkFftzO2QAK66AoDoQGqFbZBX7YwhAQAQ9UitsAHyqs0x JAAAQGpFhCOv2hxDAgAAzUitiFDkVZtjSAAAoCVSKyIOedX+GBIAAHAhkdXh cCQ3S0tLC3ePAI/Iq/aXmmrMqwwJAAA0kdQqSTW3WWFhYbh7BLgheXXWG9nk VTtjSAAAwCtGCMDiyKv2J3nVdUgAeRUA0BKpFZZFXo0Krnm1Z8/GHAsAQEuk VlgQeTUquJ3VKjU13N0CAFgUqRWWQl6NCq5DWBkSAABoDakVFkFejQpuh7BK ggUAoDWkVoSdp7y6Yv3+cHcNAeV2CCuzWgEAzCG1IozIq9HC7RBWhgQAAHxB akVYkFejBUNYAQABQmpFiJFXo4WnIazMagUA8AupFSFDXo0WbvMqQ1gBAG1D akUIbMsrlHRKXo0KbvMqs7ACANqM1IqgIq9GES65AgAEE6kVQUJejSJccgUA CD5SKwKOvBpFuOQKABAqElnT0tJynYS7R4hg5NUowiVXAIDQktTqcDiSm3He Ff4hr0YXt3mVIQEAgGBihADayFNelfJwdw1BQF4FAIQJqRV+I69GF9cpArjk CgAQQqRW+IG8Gl3y8sirAICwI7XCJ+TV6OJ2SiumCAAAhAOpFSaRV6OL5NKE BKYIAABYB6kVrVq0fAd5NYowpRUAwJJIrfCCvBpdPOVVhrACACyA1Aq3yKvR hbwKALA8UisMyKvRhbwKAIgQpFboyKvRhbwKAIgopFZo5NUoRF4FAEQaUmuU c5tXZ72R/X3xiXB3DcHhmle5ZQAAIBKQWqMWeTXqkFcBAJGM1BqFyKtRx1Ne 5RZXAIDIQWqNKuTV6OL2eivyKgAgMklkdTgcyc3S0tLC3SMEBXk1upBXAQC2 I6lVkmpus8JCrhm3G/JqdCGvAgBsihECNiZ51RBWyat2Rl4FANgaqdWWyKvR hbwKAIgCpFabIa9GF/IqACBqkFptg7waXbzkVQAA7IjUagPk1egieTUhgfux AgCsaevWrTNnzhw7dmxiYuLGjRtbrb9ixYqkpKRx48Y9/fTTn332mZeapNaI 5javSiF51Z7IqwAAa0tJSWnfvn1Ms3bt2iUnJ3uqXF1dPXLkyJiWrr766pKS Erf1Sa0RirwaXSSvDh9OXgUAWFlWVpbE1I4dO86bN2/z5s2zZ8+WBBsbG/vt t9+6rT958mSJqeeff/6CBQt27dr10UcfXXTRRVJy9913u61Pao045NXoIrlU 0il5FQBgeerEaVJSkl7yzDPPSMk999zjWrmhoaFbt27yrGRdvXDLli1Scuqp p1ZXV7uuQmqNIOTVKOLpYivyKgDAkurr6zt37iyZ88CBA3rhkSNHYmNj4+Li amtrDfUPHjzYt2/fXr16Gco7deokjXz33XeumyC1RgTyahTxkldTU8PdOQAA 3Nu5c6ekze7duxvKzz33XCnfsWOHmUY2bNggld2mXI3Uannk1SjiKa8OH64t Xx7uzgEA4E12drYEzssuu8xQLiVSnpmZ2WoLNTU1V155pVS++eab3VYgtVqT hFLyahRxOzkANwsAAESOpUuXSuAcNGiQoXzo0KFSvmTJEu+r19XVjRo1Smp2 6dJlz549buuQWq2GvBpdUlO52AoAYAMqtQ4ZMsRQPnjwYClf7vVLw4qKit// /vdSrVOnTitXrvRUjdRqHeTVKKIGA5BXAQB2sWbNGomd/fr1M5T37dtXynNy cjytWFBQMHDgQKnTrVu37OxsL5uQyJqWlpbrTmBeA0wgr0YRJgcAANjR0aNH JXl27ty5oaFBL5Sf1ZwAEk3drrVr164LL7xQKvTu3Vt+9r4JSa0OhyPZnUC+ EnhAXo0ingavMjkAAMAWevToIflz/fr1eklOTo6U9JS/dO7s379frXL55ZcX Fha22j4jBMKFvBpF3A4G4GIrAIC9TJw4USLojTfeWFNTozXNCXDDDTdIyZQp U1SF4uLizMzM1atXq4fDhg1TQ2ErKirMtE9qDT0veTXcXUNAMRgAABBNCgoK 1O2uBg4cKEl1wIAB8nN8fLw+PCA9PV3NEiA/f/311zFN4uLiznaxbds21/ZJ raFEXo0W5FUAQFTKy8sbPHhwbGysSqSDBg3asmWL/mxGRoYUdu3aVX6eM2dO jGebNm1ybZzUGhrk1WjhaTBAQgKDAQAAUaKoqGjt2rX5+fmBbZbUGmzk1ajg /eQqeRUAgDYjtQYPeTUqeJkZgMEAAAAEDqk1GMir9ufpNgGyDB/OTFYAAAQc qTWwyKv2x5VWAACEA6k1UMir9ufp5Cp5FQCA4CO1th151eY8nVzlNgEAAIQQ qbUtyKs2x8lVAAAsg9TqH/KqnXk5uZqQwJVWAACEBanVV27z6sTnl5FXI56X aQE4uQoAQLiRWs0jr9oWJ1cBALA8UqsZ5FV74uQqAACRQyKrw+FIbpaWlhbu HlkLedWeli93f0MrNS2APAsAACxGUqsk1dxmhYWF4e6RVZBXbcjLSABOrgIA YG2MEHBFXrWbVkcCMOcqAACWR2p1Rl61Gy8jATi5CgBARCG1KuRVW2EkAAAA tkNqJa/aR6sjAbjMCgCAiBXNqZW8ahNewionVwEAsIvoTK3kVTtQYXX4cMIq AADRINpSK3nVDlq9xoo5AQAAsJ3oSa3k1YgnYdX7NVYMWwUAwL6iIbWSVyOb lwkB1K2sUlPD3UUAABB09k6t5NUI5j2sMmwVAIAoY9fUSl6NVIRVAADgjv1S K3k1InkZs0pYBQAA9kqt5NUIo06rElYBAIAJ9kitkldf/XgjeTUyeJ9nlbAK AADckcialpaW6yTcPfINeTViEFYBAEAbSGp1OBzJzSLovCt5NTJ4v92qLJJj CasAAKA1kThCgLxqdZJUzVxdxTyrAADAtMhKreRVSzM5BoA7WAEAAN9FSmol r1pXq2MACKsAAKDNrJ9ayatWpJJqQoLHpKoPWJWaAAAAbWbl1EpetRzGAAAA gDCxZmolr1pIq0lVD6ucVgUAAEFjtdRKXrWEVu9apSdVJq0CAAAhYZ3USl4N M326KjOnVRkDAAAAQssKqVXy6qw3ssmrYeBTUmV6VQAAED7hTa3k1fAwOVSV SQAAAIBlhCu1kldDzUxSZQAAAACwqtCnVvJqiJj89p+kCgAAIkEoUyt5Nej0 a/9JqgAAwF5Ck1rJq0Fk5jZVJFUAABDhgp1aPeXVFev3B2+jNicxNTXV1AlV kioAALALiawOhyO5WVpaWqBaJq8GjPkRqs7X/pNUAQCAjUhqlaSa26ywsLDt bZJXA8D8CFXn21QxSxUAALCpwI4QIK/6SdKmrzGVE6oAACCaBCq1kld9o3/p n5BgKqY6n1AlqQIAgOjT9tS6La9Q0il5tRU+jU3VY6pkWmIqAABA21IredUj PaMSUwEAAALBv9RKXm3Bv4zKl/4AAACm+Zpayas/TJdqfkiq4RIqYioAAICP zKfWaMyrfp9EVRmVb/wBAAACxExqtX9eVRNPqTOoKqBK4PQpowZoVKoci9zc 3MC9MLRJcnJyuLuAk+T3IgT3noZJfFJZSlpaWkDmWgesz3tq9ZRXpTyUnQwk 59Onvn7F7+m7/sDN7S8xib8F1jF69OhwdwEnZWVlBfDOfWgjORZyRMLdC5zk cDhIrYgSnlJrZOdVFU2dz536l04NJ1GlwSB/109qtRRSq3WQWi2F1GoppFZE D9fUGvC8KjEswJ9v6gt951yakJA2fXqboqlhJKq7gBqCP5ohSK1yLIK9icAf cRfyER2C74tDkFrlVQT7z409jnhoUqs9NhGCIx6C1Gqbj5EQHHFSK6KHc2oN 0vlV3/7cOCdSp1B68nyph+GmhZ06OUaN8i2dOn/Fb+4MaggyTAhSawj+3IQg YMheCsGg0xAc8RD8uQnBEQ/sjaHdCsGbSg6EHI6gbkLjY8Q0PkbMI7Uieqg/ N0HJqyp/5uU1fvhMn24MooYs6sfVT62mVhVN1blTX9KpJ/y5MYk/N+aRWk0i tZrHx4hJfIwAEWb58vSHH578f1Neufkh52XR8Du2J/zth3jpvEgI1BeVOfXF Q/j8pk+f1DZ+d+/9qqiEhO+TkxtTq/paP2hDT/lzYxJ/bswjtZpEajWPjxGT +BgBrCPXhKwRIyVPyrLjvPOCt3zy//5f8m9/638LQ4bsGDXq5OJw5M6fn/v5 58YXkpUlv7ZmXnJbyIdPsDchr0KNSQse+ZRWs9YEj7Sv/m5G9CZyOeKmpTUJ 6iZCcMT5GDGPjxHzLH7Ewx1VgJOSzZgwwTFqlCySKoO+TJhwcgEAABYQ7qgC +CIx8fVrRqTfeqvxu37XxXlggD5SVF/UgFX9C3q1qHGtAAAAQJul/vs97jgD AAAAiwvBZRQAAABAG5FaAQAAYH2kVgAAAFgfqRUAAADWR2oFAACA9ZFaAQAA YH2k1lDaunXrzJkzx44dm5iYuHHjRjOrrFixIikpady4cU8//fRnn30W7B5G FT8Oh27x4sWTJk3ydS144evhOHz48PPPPz9hwoRHH330vffeq6+vD0Eno4Qf vxpr166VT6rx48fLv+vWrQt2D6NQVVWVvNsXLFhgpnJbPtwAKyO1hkxKSkr7 9u1jmrVr1877fUmqq6tHjhwZ09LVV19dUlISsj7bmK+Hw1leXt4ZZ5wha5n8 C4JW+Xo4Pvroo06dOjn/agwcOLCsrCxkHbYxP341Hn74YanmvIr8ny40vY0e Y8aMkX37wAMPtFqzLR9ugMWRWkMjKytLPjo6duw4b968zZs3z549Wz5VYmNj v/32W0+rTJ48WT5wzj//fIlGu3btkj/TF110kZTcfffdoey5LflxOHR1dXW/ +tWv1J8DUmtA+Ho4duzYcdppp8n+l2gkvxpffvllnz595KH8WQ9xz+3Hj1+N RYsWyc6Pi4t77bXXdu/e/frrr//oRz+Skvfffz+UPbexkpKShIQE9ZnTampt y4cbYH2k1tBQZ02TkpL0kmeeeUZK7rnnHrf1GxoaunXrJhXkI0gv3LJli5Sc euqp1dXVQe+xrfl6OJzNmjVLP4lBag0IXw+H/MdNnp0wYYJesnbtWik566yz GCfQRn78avz5z3+WCk8++aReMnPmTCm54447gtvX6JCenh4fH69/5rSaWtvy 4QZYH6k1BOQvaefOneVz48CBA3rhkSNH5P+/cXFxtbW1rqscPHiwb9++vXr1 MpSrb0W/++674PbY1vw4HLp169adcsopffr0uemmm0itAeHr4airq5Pfgnbt 2hUUFDiXZ2RkZGZmhqLH9uXfr8bvfvc7WWX+/Pl6ydtvvy0lV111VdB7HAXO PPNMNTbM4XC0mlrb8uEGRARSawjs3LlTPka6d+9uKD/33HOlfMeOHSbb2bBh g/omjg+ftvD7cFRUVPz0pz/t0KHD6tWrR40aRWoNCF8Px/bt26W8f//+DQ0N S5cunTVrVkpKyqpVq0LVXzvz71dDffsgR6S4uFgeHj9+fMiQIVLy6KOPBr3H UeC6665buHChvNvnzZvXamoN1N8awLJIrSGQnZ0tnxiXXXaZoVxKpNzkCaKa mporr7xS6t98881B6GMU8ftwjB07ViokJibKz6TWQPH1cCxevFidx7vmmmuc r8a68847T5w4Eape25N/vxryv7kbbrhBKpx99tm//vWvzznnHPn52muvVSEW gWImtQbkbw1gZRJZHQ5HcrO0tLRw98iGli5dKp8YgwYNMpQPHTpUypcsWdJq C3V1dSomdenSZc+ePcHpZrTw73BkZGTExsYOHDhQnegmtQaKr4dD9rmKqXI4 7r333nfffXf69OlxcXFSMnny5FD12p78+9UoLy+fMGFCTEvjxo3jPxGBZSa1 tv1vDWBxklolqeY2KywsDHePbEh9kgwZMsRQPnjwYClfvny599UrKip+//vf S81OnTqtXLkyWL2MGn4cjoKCgnPOOUeikfyOqBJSa6D4ejjeeustlYueeuop vfCzzz6TklNOOaW0tDTYHbYx/z6pbr75Znn2Zz/7mVQ4duyY/Pvzn/+cb4UC znxq9ftvDWB9jBAIgTVr1sgnRr9+/Qzlffv2lfKcnBwv60peGjhwoFTr1q1b dnZ2MLsZLfw4HLfeeqs8dcsttyxpNmzYMClxOBzys/ylDknH7cnXw/Hxxx/H NE1BWV5e7lzeu3dvKed3pC38+NXYs2dPbGxsx44dd+/erRfu27dPTX61bdu2 4PY4mphJrW35WwNEBFJrCBw9elQ+MTp37tzQ0KAXys9qQgDDpdDOdu3adeGF F0od+YssP4eks/bnx+FQM+V6wvdubeHr4ZC/vFLeoUMHwzWJl19+uZRnZGSE otM25cevxhdffOE2JqlB+EzZGkBmUqvff2uASEFqDY0ePXrIh8b69ev1EvXH t2fPnp5W2b9/v1pL/hwzciOwfD0cTz311N9aUmf2rr/+evmZK3PbyKfDUVVV pUaxOt82VBKsugho06ZNoeixffn6q6EmNjnzzDMNM+VeeumlUr506dLgdjea mEmtml9/a4AIktUk3L2wv4kTJ8rnxo033lhTU6M1TQigrrqdMmWKqlBcXJyZ mbl69Wp9FfUd9JAhQyoqKsLTafvy43AYMK41gHw9HHfddZc8O3jw4MrKSlXy 7LPPSslFF13kfIoJfmj1WGgtD4dU6Nq1q1SYMWOGXuHdd9+NaZqjj3vsBpDb 1Or6SWXmCAKAdwUFBepeVwMHDpRPjwEDBsjP8fHx+lc26enpMU1TBKiHX3/9 tfr2WT75z3bBaLE28vVwuCK1BpCvhyM/P1/V79+/f2Jiohp1HBsb+/HHH4fv RdhEq8dCczkc77zzjvqwuuaaa6ZOnfqHP/yhXbt28vCll14K04uwJ7ep1fWT yswRBIBW5eXlDR48WP62qk/4QYMGbdmyRX82IyNDCrt27aoezpkzx8tASr4G bTufDoerO++8Uyq89957Iems/fl6OHJzc4cNG6bX79GjB8ciULwfC83d4ZD/ L/Ts2VP/gJKMJFE25B23uRdffFH27YMPPuhc6PaTqtUjCAD/v707NgEYhoEA uP9oRr0HMBhX2iHOBk6IcYq7XvDwSK0WZWZEtNZOB+Gmjl95WkfvvZRSa/Ut 7nMvVmOMMUdmKftSsc5xAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACA fS5K21CS "], {{0, 238.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 238.}, PlotRange->{{0, 457.}, {0, 238.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.763984067790391*^9, 3.7639841030006423`*^9}, 3.763984215769211*^9, {3.763984250710802*^9, 3.763984290266161*^9}, { 3.7639846825101433`*^9, 3.763984682997885*^9}, 3.7645006233001747`*^9}, CellLabel->"Out[27]=", CellID->160043902] }, Open ]], Cell["It will work when it\[CloseCurlyQuote]s the outermost wrapper:", "Text", TaggingRules->{}, CellChangeTimes->{{3.7645011325734005`*^9, 3.764501154700292*^9}}, CellID->77702758], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ InterpretationBox[ TagBox[ DynamicModuleBox[{Typeset`open = False}, FrameBox[ PaneSelectorBox[{False->GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"], ImageSizeCache->{11., {1., 10.}}], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"], ImageSizeCache->{11., {1., 10.}}]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}], True-> GridBox[{ {GridBox[{ { PaneBox[GridBox[{ { StyleBox[ StyleBox[ AdjustmentBox["\<\"[\[FilledSmallSquare]]\"\>", BoxBaselineShift->-0.25, BoxMargins->{{0, 0}, {-1, -1}}], "ResourceFunctionIcon", FontColor->RGBColor[ 0.8745098039215686, 0.2784313725490196, 0.03137254901960784]], ShowStringCharacters->False, FontFamily->"Source Sans Pro Black", FontSize->0.6538461538461539 Inherited, FontWeight->"Heavy", PrivateFontOptions->{"OperatorSubstitution"->False}], StyleBox[ RowBox[{ StyleBox["CheckboxLegended", "ResourceFunctionLabel"], " "}], ShowAutoStyles->False, ShowStringCharacters->False, FontSize->Rational[12, 13] Inherited, FontColor->GrayLevel[0.1]]} }, GridBoxSpacings->{"Columns" -> {{0.25}}}], Alignment->Left, BaseStyle->{LineSpacing -> {0, 0}, LineBreakWithin -> False}, BaselinePosition->Baseline, FrameMargins->{{3, 0}, {0, 0}}], ItemBox[ PaneBox[ TogglerBox[Dynamic[Typeset`open], {True-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeCloser"]], False-> DynamicBox[FEPrivate`FrontEndResource[ "FEBitmaps", "IconizeOpener"]]}, Appearance->None, BaselinePosition->Baseline, ContentPadding->False, FrameMargins->0], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{1, 1}, {0, 0}}], Frame->{{ RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627, 0.5], False}, {False, False}}]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{0}}, "Rows" -> {{0}}}]}, { StyleBox[ PaneBox[GridBox[{ { RowBox[{ TagBox["\<\"Version (latest): \"\>", "IconizedLabel"], " ", TagBox["\<\"1.0.0\"\>", "IconizedItem"]}]}, { TagBox[ TemplateBox[{ "\"Documentation \[RightGuillemet]\"", "https://resources.wolframcloud.com/FunctionRepository/\ resources/CheckboxLegended"}, "HyperlinkURL"], "IconizedItem"]} }, DefaultBaseStyle->"Column", GridBoxAlignment->{"Columns" -> {{Left}}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], Alignment->Left, BaselinePosition->Baseline, FrameMargins->{{5, 4}, {0, 4}}], "DialogStyle", FontFamily->"Roboto", FontSize->11]} }, BaselinePosition->{1, 1}, GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, GridBoxDividers->{"Columns" -> {{None}}, "Rows" -> {False, { GrayLevel[0.8]}, False}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}]}, Dynamic[ Typeset`open], BaselinePosition->Baseline, ImageSize->Automatic], Background->RGBColor[ 0.9686274509803922, 0.9764705882352941, 0.984313725490196], BaselinePosition->Baseline, DefaultBaseStyle->{}, FrameMargins->{{0, 0}, {1, 0}}, FrameStyle->RGBColor[ 0.8313725490196079, 0.8470588235294118, 0.8509803921568627], RoundingRadius->4]], {"FunctionResourceBox", RGBColor[0.8745098039215686, 0.2784313725490196, 0.03137254901960784], "CheckboxLegended"}, TagBoxNote->"FunctionResourceBox"], ResourceFunction["CheckboxLegended"], BoxID -> "CheckboxLegended", Selectable->False], "[", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"<|", RowBox[{ RowBox[{ RowBox[{"HoldForm", "[", "x", "]"}], "\[Rule]", RowBox[{"Callout", "[", RowBox[{"x", ",", "\"\\"", ",", "Above"}], "]"}]}], ",", RowBox[{ RowBox[{"HoldForm", "[", SuperscriptBox["x", "2"], "]"}], "\[Rule]", RowBox[{"Style", "[", RowBox[{ RowBox[{"Callout", "[", RowBox[{ SuperscriptBox["x", "2"], ",", SuperscriptBox["\"\\"", "2"], ",", "Right"}], "]"}], ",", "Red"}], "]"}]}]}], " ", "|>"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"PlotLabel", "\[Rule]", "\"\\""}]}], "\[IndentingNewLine]", "]"}], "\[IndentingNewLine]", "]"}]], "Input", TaggingRules->{}, CellChangeTimes->{{3.7639840485426674`*^9, 3.763984101069641*^9}, { 3.7639841969938354`*^9, 3.763984284981248*^9}, 3.764501120605208*^9}, CellID->296477336], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzs3Ql4FPXdwPEEEDV9QUFBbaQFFd4WqsX3rVxaQa1asa14vS1a36a+lgJS D0RwRQxyRgwSi1o8apanoqIIKhEUCygkEg4D4QyHBMIZzE0Cuef9JX8yTvbK 7maP2dnv55nHJ/lndnZ2NyRfJ/+Z7fHgo3eNaBMTE/PEOfKfu/484YaxY/9s u/t8+eTeR54Y9ddH/vLQbY+M+8tf/zJ2wINtZXBfbEzM3+WDho81AAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAJpWV1eXnZ39/vvvz5s3LyUl5V//+tfnn39e VFTksNru3btl/Ouvvw7lvu3Zs0fuNCMjw8M6asfWrVsXsr2yJG+eagAAgHDZ tGnT+PHjRzgZPXr0woULa2tr9TUla2V88uTJody9RYsWyZ0+++yzHtZ57733 ZJ0pU6aEbK8syZunGgAAICw+/PBDPVOTkpIWLFggI/PmzZNkVYNvvPFGfX29 WplqtTaqFQAAmNOmTZtUmtpstn379hm/VFRUNHXqVPXVlStXqkGq1dqoVgAA YELV1dWPP/64VMrYsWMLCgqcVygtLX300UdV09bV1WlUq9VRrQAAwIQ2btyo DqV+/vnn7tb58MMPH3vssZdffrmwsFAzVOvRo0dff/11yd2RI0c++eSTqamp Lrs3Ly/vjTfekBVktUceeeSFF17IzMzU5xvocnNz33zzzQkTJowaNUpWnjNn zo4dO/SvOqeUJPTChQtfarRt2zbNUK379u178cUX//a3v40ePfq5555buXKl 890dOXJE9ko2KHcnWS579fXXXxtXk51UG09PTzfecMuWLWrceNqXN49R1vnn P/85ceJEWUf2berUqR9//PGpU6dcPufy6ObOnSv3sn79euP48uXLZVC+ZJxp XFRUpHbp+PHjXj468dVXX8lNVq9evWbNmieeeOLhhx9OTk4+ePCgN081AABA iEl2SqL89a9/LSsrc7eOOsSqU9UqLSTp5XDq1uOPP+5wzYGMjAyJNOeTvKSp jKutWrXK5WrLli1TKziklASYFKBa55133lE9pqpV9kpSzWE7r776alVVlX53 aWlpLu9OarC6ulqtU1FRIQmtNvjdd9+pweLiYql0deRZD05vHqOEtGSh8zry iNyF68yZM2WFlJQU46Dcr7rh/v379UHpT7Wfaue9eXRCnjcZnDRpkrz6+jo5 OTnePNUAAAAhptJI0sX7m6hqFZJGUjiHDh06ePCgHjYyoq8pZaXySVorKyur pKTkwIED//jHP9Sa+rWVcnNz1WpPPfXUli1bSktLZWTGjBlqNdm41rxaJZxS U1PVV2Vn9LtT1TqiMcI//PDD/Pz8w4cPz5s3Tw0uX75crabP43366ac3b94s Ibp3794XX3xRDzN9g7t27VJFJ1+tb6RWk7399ttvfXqMSUlJ8ulzzz0n9yWZ WlhYuHDhQrXOZ5995vJ5lmKXr44ZM0ZPzePHj+t5qfe8ePnll2VEHqlPj05V q5DInz9/vjyTzz//vJdPNQAAQIipw4mzZ8/2/iZ6tf773//WB+vq6hITE2Xw hRde0Afnzp07ovGorPEArISQirpx48apHlOfPvzww8bVysrKHnnkERmXutMM KSU3l8RSO7B48WLjjunV+tFHHxnvTjXb2LFjKysrZUTt5+OPP37y5Enj/icn J6uEM+7GBx98oLa5du3azz//3LkYvXmMNTU16vDvmjVrjDssKSs3fPfdd10+ z0ePHlV3t337djWyatUqvVrnzJmjBmX76ihuZmamT49Or1bj0+XlUw0AABBi 6u/dDn+G9kxV6+jRo1UE6v71r3/JuFST+lRqSl04S2Wn0b59+1QLHThwoLa2 dsyYMQ6HAZV169ZJ5hmPtU6aNEndi1i6dKnD+qpapXUd/ua+Y8cOdRO534KC AvXxp59+6m6vJFD1QQnO5557Tm1WPRzJRf2v5F4+RllfFbj8P8KmTZv0uQrG uakuPfPMM8aDnK+88op8qvpTSlX2TQazs7NVjlZUVPj06PRqLS0tNa7pzVMN AAAQYpMnT5YsmT59uvc3UdX61FNPOYwvXrxYxiW01KeHDh1SzSP980pz+h+s N2zYUFRU5NyKzlRKGel/o9epap0xY4bDeHl5ubpJRkbGzp071ce7du1yWE0a Uv2t3+G44pEjR/QpqePGjTM2npePUTMcoFbBL1/9/PPP8/PzvXmqJZvV7qmL OejzFnbv3i3jCxYsGNE4h0E+9unRqWqVbfrxVAMAAIRYSkqKOpDocMqVUU1N TW5urjqyp7m/8pVDtUpTjWjJsmXL9PDbunWrh/00ppRqNglF4wlWWlO1zp07 1/nm6g/0n3766ZYtW9RGDh8+7Lzak08+OcLVUV81cXSE00lkXj5GrTEa5flR R1yND+TVV191dzaWcftqeuqIxj/919fXT5s2TT7+5JNPZB353wf5eNWqVVrj 9Q28f3SqWlUS+/pUAwAAhJg+V1OiyN06WVlZIxpPC/r66681r6v1yJEjassL Fy7McuP48ePSY2o1NS3THZVSElH//ve/09PT1U0++OAD4zqqWvUJnzrJQrV+ RkaGtLH62OH9FLTGyajqz/1LliwxjstN9LPs5QNjXXv5GPX1pf02b968YMGC p59+Wi/DGTNmuDsxX1pXXU1X9lwaVT547bXXtKb3Mps1a5ZqftkrNVvVp0en qnXq1Kl+PNUAAAAhpp+W7vIQpaJOOBLqL9peVmtNTY2KPec5lvIlyarvvvuu rq5OakrNa01LS3NYTaopOTnZ4WwsrTHAZs+ePaLxXH5jnqlqlSB02M7+/fv1 MtcP7TpchVXIo1NfUsctlbKysnHjxqnjjWqWqXyqXyXM+8coH+gnVSmyJ5Kd xifWJXVxhjfeeOOFF16QD7766iutaSbAqFGj1HOuT/Dw6dF5rlbPTzUAAEDo 6deG+uKLL5y/KoPqq/oZW15Wq9Y0aXb8+PGnT582rrly5Uq1zezsbPlUXeTK ZrMZz06S2FM3V0cXHS4ieuLECdW6EpP6haH0awg49NWbb745ovFyphUVFZJh 6gQ02bjDEc63335b3fzo0aP6oJobIM2Wm5v77bffqqmhMujTY9QPgRovsqoZ rlIlten8zBvXeeyxx9QkB9W3+nUD1H/1Zvbp0XlTre6eagAAgNArKCjQ51tK we7du1ddrOngwYNvvPGGOpb46KOP6rXjfbVu3rxZbXbOnDklJSVqcNu2baqC nn76aTWZVkbUapKX6roEcu/vvvuuGszKytJcvTfWihUr1Ar6KfZ6tU6cOFH9 XV7KbdmyZeohqFmgYunSpWo1eXR6an722WeqSI1X7lqzZo1a88MPPzQ+9hGG a1h58xirqqrUp88995z+hgUnT558/vnnVZF6qEHZQ/WXfRX2+rh+tpc4cuSI Pu79o/OyWl0+1QAAAGFx4MCBJ554YoSB8f2SpLhycnL0lb2vVvHaa6+pjYwa NUpuov7IPqLxyKfxzHT9eK/cl3SUOmAoUlNT1Qou32ZUHaSVXVWTcvVqHdF4 dHTatGn6dhITE/XrdEkSq4tHjWg8nX/KlCnq3PwRjYdM9Telle5Vb/4ld6pX pfSnJLHaf/3P+t48Rv1Sq7KOtKvsm+pYsXr1as+vzksvvaTWnD9/vj6o3oNA JbpxZS8fneZLtTo/1QAAAOFSVFT04Ycf6pmnPPzww2+//XZxcbFxTVU1kkMO W/joo48cakdrPJ9I+sphs3PmzJFONq4mXfTJJ5/ofTWi8ejuZ599pl+4QCWx QyofOnRI/d180qRJ9fX1KqelIWUP9eOTssKbb75pvOS+1ph2S5YsMZ7RLw1p t9uNb2ur5pFK/Tr8WX/Pnj0q6fXjll4+xvT0dP39WJWnn356/fr1Lb0y2pdf fqnWN66cm5urBp3Pk/Lm0Ql1NNv5omfePNUt7jMAAEBQST1Kvkqn7dy5U51J FJDNSuccOXJk165d0loOAWkk+ZeXlyd3fezYsRavwO9ZeXn5nkae7+7gwYNy d3KnDu+Y4AdvHqOsI0/vvn37du/efeLEiVbeo2eBfXQAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAgND7pFG49wIAAADwhGoFAACA+VGtAAAACKzKysoxY8Ys XLiwxTXXrFmTlJQ0evToadOmLV++3MOaVCsAAAACa+TIkTExMY8++qiHdaqq qoYNGxbT3I033lhSUuJyfaoVAAAAgSLNmZCQoBLUc7WOHz9e1rn00ksXLly4 d+/ejz766PLLL5eRBx54wOX6VCsAAAACYunSpfHx8fqBUw/VWl9f36VLF1kn IyNDH9y+fbuMnH322VVVVc43oVoBAAAQEOeff776K7/NZvNcrUeOHOndu3eP Hj0cxjt06CA3/Pbbb51vQrUCAAAgIG655ZZFixbV19fPnTu3xRkCzrZs2SK3 iouLq6mpcf4q1QoAAIDA8qNaq6urr7/+ernVnXfe6XIFqhUAAACB5Wu11tbW Dh8+XG7SqVOn/fv3u1yHagUAAEBg+VStFRUVv/vd72T9Dh06rF271t1qVCsA AAACy/tqzc/P79evn6zcpUuXzMxMD2tKstrt9gxXArfjAAAAiCJeVuvevXsv u+wyWbNnz57yseeVpVptNpvdlcDtOAAAAKKIN9V66NChbt26yWrXXnttQUFB i9tkhgAAAAACy2W1FhcXp6enr1+/Xn06ePBgWWfgwIEVFRXebJNqBQAAQGC5 rNalS5eqqwTIx19++aV6/6y4uLgLnezcudN5m1QrAAAAAuuVV16RIn3ssceM g2lpaTLYuXNn+Xj27Nkx7m3dutV5m1QrAAAAzI9qBQAAgPlRrQAAADA/qhUA AADmR7UCAADA/KhWAAAAmB/VCgAAAPOjWgEAAGB+VCsAAADMj2oFAACA+VGt AAAAMD+qFQAAAOYnyWozSE5ODvceAQAAAI6kWu12e0GTcO8OAAAA4AIzBAAA AGB+VCsAAADMj2oFAACA+VGtAAAAMD+qFQAAAOZHtQIAAMD8qFYAAACYH9UK AAAA86NaAQAAYH5UKwAAAMyPagUAAID5Ua0AAAAwP6oVAAAA5ke1AgAAwPwk We12e4ZBuPcIAAAAcCTVarPZ7E2oVgAAAJgQMwQAAABgflQrAAAAzI9qBQAA gPlRrQAAADA/qhUAAADmR7UCALBgwYIRI0aMHTu2trZWjdTX10+aNEkG5Uvh 3TcACtUKAMD+/fs7duwYExOTlJSkRubOnSufdurU6cCBA+HdNwAK1QoAgJg/ f75k6rnnnpuTk7N9+3b5QD5dtGhRuPcLwBlUKwAAyr333iulOmjQoL59+8oH o0aNCvceAfge1QoAgFJYWBgfHx/T6Morrzx16pTL1WpqaiorK0+4V95ciB8F YFVUKwAAutmzZ6tqffPNN92tU1paumPHjvd98WmjDRs2yA0la0P5iADLoFoB AFAKCgr0Y63ygXzqcjU/qtU5YqVgyVfAJ1QrAADKPffcI71666233nzzzfKB fOpytZqaGglXDzMEcp1saLR69WrnfJUADvHDBCIU1QoAgEhNTZVSPe+88/Ly 8g4cONChQwf5VAYDey/l5eUqYmlXwFdUKwAA+/fvV5mqT2d99dVX5VMZlC8F 4x4lX6VUpVdpV8BLkqw2g+Tk5HDvEQAAoTZkyBA1N0Afqa+vV4Py3+Ddrzr0 apw5QLsC7ki12u32gibh3h0AAKKRtKvDcVfO1QIcMEMAAAAzcJ4zsGHDBi73 CuioVgAAzEO1KxMGAGdUKwAAZkO7As6oVgAAzEna1eFErdzc3HDvFBA2VCsA AGbGiVqIRJWVlWPGjFm4cGGLa+7YsWP69OmjRo1KTEzMzs72sCbVCgCAyTlP GOBELZjcyJEjY2JiHn30Uc+rpaSktG3bNqZJmzZtPFyFlWoFACAiMNkVEaGk pCQhIUFVqOdqzcjIkExt37793Llzt23bNmvWLCnY2NjYb775xuX6VCsAABFE 2tX4hrDSrtu3bw/3TgFnLF26ND4+Xj926rlahw0bJuskJSXpIzNnzpSRBx98 0OX6VCsAABHH4UQtZgvAJM4//3zJzhtvvNFms3mu1rq6uo4dO8o6hw8f1geP Hz8eGxsbFxdXU1PjfBOqFQCACKVO1NqwYUO4dwQ445Zbblm0aFF9ff3cuXM9 V+uePXtkha5duzqMX3zxxTK+e/du55tQrQAARC6OssKcWqzWzMxMWeHqq692 GJcRGU9PT3e+CdUKAACAwGqxWleuXCkr9O/f32F80KBBMr5ixQrnm1CtAAAA CCwvq3XgwIEO4wMGDJDx1atXO9+EagUAIFLl5moJCWtT3g73fgCOWqzWDRs2 yAp9+vRxGO/du7eMZ2VlOd9EktVut2e4EuC9BwAAAfJd8ak1S9bu6n6lFhOj de+uuTowBYRRi9V64sQJWaFjx4719fX6oHzcoUMHGc/Pz3e+iVSrzWazuxKU xwAAAFpBenXx6t1jH3/rTLI2LrsS/hbu/QKaabFaRbdu3WSdzZs36yNZWVky 0l3+R8wVZggAABARVK/+73OfOiSrlpAQ7l0DHLms1uLi4vT09PXr16tPx44d K+vcfvvt1dXV8qn897bbbpORCRMmuNwm1QoAgMnpvUqyIlK4rNalS5fKYKdO ndSn+fn5Xbp0kZF+/fpJqV5zzTXycXx8vMvpARrVCgCAiRl7lWRFBHnllVck QR977DHjYFpamgx27txZH8nNzR0wYEBsbKx6B9j+/ft7eIdiqhUAABNy6FWS FRZWWFi4cePGvLw8z6tRrQAAmIpzr6pk/b5XSVZEJaoVAACTcN2rL61aYl9B sgJUKwAAYeeuV2Ww4a0ESFaAagUAIKw89aqmOSZrYmKYdxcIH6oVAICwaKFX NadkTU0N5+4C4Ua1AgAQYi33qkayAo6oVgAAQsarXhWrV5OsgAOqFQCAEPC2 VzWSFXCNagUAIKh86FWNZAXcoloBAAgS33pVI1kBT6hWAAACzude1ZySVT4F YCDJarPZkpvY7fZw7xEAABHMn17VSFagZVKtUqoFTcK9OwAARCo/e1UjWQGv MEMAAIBW8r9XRWoqyQp4g2oFAMBvrepVjWQFfEC1AgDgB+nVNz7O9r9XNZIV 8A3VCgCATwLQqyIx8fte7d6dZAVaRLUCAOClwPSqSEggWQFfUa0AALQoYL2q kayAn6hWAAA8CGSvaiQr4D+qFQAAlwLcq2LIkGbJCsAXVCsAAA4C36uat8n6 5Zdfbt++3f97AayLagUAQBeUXtW8TdYNGza83yg3N7dVdwdYEdUKAIAWvF7V mierfOxeRUWFqtZPP/20vLy8tfcLWAvVCgCIckHs1dxc75O16Ra5eri29t4B a6FaAQBRK4i9qvmTrMqOHTtUuG7YsCEAuwFYBdUKAIhCwe1Vzf9kFeXl5atX r1bhKgUbmP0BIp8kq91uzzEI9x4BABBE0qsz5mcGsVe1xmTVe1WWhARfNyDh +umnn6p5AidOnAjYjgGRTKrVZrPZm2RkZIR7jwAACIpQ9KpYvbqVyapIuHJm FmDEDAEAgOWFqFc1p2RNTGzNxvQzs1bzFloA1QoAsLTQ9armlKypqa3fpH5m FhNcAaoVAGBJIe1VzSlZA3R01HhmFm89gChHtQIALCbUvSpSU4ORrAoTXAGF agUAWIa7Xl2z+VAQ7zWYyarw1gOARrUCACwhPL0qEhODnawKbz0AUK0AgIgW tl4VCQnf92r37sFLVs30bz1QD0sL9/fXGVQrACBChbNXhfGtr4KcrIrxrQfM M8FVD5u6JrWwBP0FNU+7Uq0AgIgT5l7VnJI1VE6cOGGeCa7GWJXIqa6urmpU 2eQ0IpD+8qlXU15WvWDD3q5UKwAgguzMLZA6DWevamFLVsUkV3DVk7WmpkYK p6KioqSkpKCgQLr6eJNjx44dRUQ5biAvZWFhobys8uLKSywvdNjDlWoFAEQE U/Rqbm6zZJWPQ84M8wRUutTW1lZVVZ08eVLaRnq1rKxMPjXD35EREPL6SqzK yyovrrzE8kLL6yuDYQxXqhUAYHKm6FXNFMmq6PMEwnI9AXWIVSVNSUnJd999 JzET+t1AKMlLLC+0vNzyoqsJA2EJV6oVAGBaZulVrTFZjVe4SkgI9Q40p64n EPrZrfpRVqmXwsLCoqKiEO8AwkhebnnRVbiG5Ygr1QoAMCET9arm9G6t4U5W zXC4NcSzW9WB1qqqquLiYpI1CsmLLi+9fAOE5XAr1QoAMBVz9armlKypqeHZ DSehP9yqn3518uRJyeaQ3S9MRV56+QbQT84K5V1LstpstuQmdrs9lPcOAIDO dL2qmTdZNcPFBEIWkGpuwOnTp+Ueq6urQ3OnMBt56fPz8+XbQM0TCOVdS7VK qRY0CeVdAwCguOtVGQ/nbkmjhuTdWv2jTxIITbWqeYw1NTVlZWUcaI1y8g0g 3wbyzRDi2a3MEAAAhJFJe1UkJpo5WbXGS2CFcmqrmh5QXV1dWFhYWloagnuE ack3gHwbyDdDiCcJUK0AgLAwb6+KhIQQv1urf9SFW1eHZPf06QHHjh2rrKxs 5dZavwXd66+//vLLL2dmZgZqg2iRvHzybRD6SQJUKwAgxEzdq5rTW1+ZNVm1 phOyQlytR44cqaur82MLu3fvnjhx4m233da1a9fY2NiePXv+4Q9/eOmll1p5 uddzzjknJiZm3LhxrdkIfCLfAPJtQLUCACzM7L3q8D4CIX+3Vl+F8jICalJr RUVFXl6eHzdfunTpeeedF+NKv379Dh3y/4S7UFZramrqU0899eKLL4bgvkxO vg3km0FNbQ3ZnVKtAIAQWLx6t6l7VTPRW195b8OGDaGv1gMHDvh62/nz58fG xqpGvemmm55++um5c+c+/PDDPXr0UINdunQpLCz0b8dCWa2/+tWv5L6uuOKK ENyXycm3gbtq3bFjx/Tp00eNGpWYmJidnd3ipjZu3JiUlCTfD/LfTZs2eViT agUABFUE9Krm9NZXkZCsWpiqNVeeK1/U1tb+8Ic/lNg7++yz33vvPeOXysvL //jHP6pwffnll/3bMao1LOTbwGW1pqSktG3bVj+Q3qZNm+TkZA/beeKJJ2Qd 4/oeXkqqFQAQJJHRq5oZ3/rKS6GvVulMX6t13759KkjuuOMO56+ePHmyU6dO ap6A81fr6uoOHjy4fv36AwcOSP263L7nai0rK8vOzt6yZUtJSYnn/ZT7Onz4 sDylHq7r1fpqlce7cePGFi8dpu/M7t27T506Fdgtt/iUekO+DeSbwaFaMzIy JDvbt28/d+7cbdu2zZo1Swo2Njb2m2++cbmRxYsXy/MZFxf35ptvyvfJW2+9 9YMf/EBGPvjgA5frU60AgICLmF7VnJI1MTHcO+SD0FerpNG3337r0w2lWFS1 Pvnkky5XyMzMXLJkyYoVK4yDcl/PPfdcly5d9KNwF1xwwcSJE2Xc4ebuqlUS 7pZbbjFOoL3hhhtcXmpA4m3KlCkXX3yxvuaPfvSj+++/31iAl112mfEQYttG ffr08fzYZQtqzddee01epmuuuaZdu3ZqC/Hx8Q5HnvUHnpiYaNyZs8466957 792zZ0/rt+zlU+oN+TZQ75BlrNZhw4bJZpOSkvSRmTNnysiDDz7ociN/+tOf 5KuyV/rI9OnTZeS+++5zuT7VCgAIoEjqVc3pfQTM9NZX3oiIaq2urj733HMl RST8jh075uWtRo4c6fLUrREjRjis6bJad+3adf755zvfXAZ37tzpsAXZpsv7 knbdvHmzWufSSy91XqFnz56eH4U8XrXmAw88EBcX57yFN954w+Em//d//+dy Z3784x8fOXKkNVv2/in1hnO11tXVdezYUTZ4+PBhfbXjx4/HxsbKHrps49/+ 9rey/rx58/SRd955J6bx/y9c3inVCgAICJe9OmN+5nfFXv19MwxM/z4CLYqI ahX6MU9Jr1dffbXFv2LPnj1brT9o0KAFCxbk5OS8++678rEafOGFF4wrO1er bF8KOabxKGViYuK6desyMzMnT56sjkb26NHDuANTpkxRm73qqqsknyR3P/jg A322be/evdVqeXl5e/fuHTBggAxKwe5t1OKlD/S2jGk8sPnaa6/tavT000+r I7ddunSpqKjQ1580aZJa+Re/+IVkpzzwtLS0hx56SA3+/Oc/19/fwdct+/SU esO5Wvfs2SOb6tq1q8Oa6rjx7t27nTcyY8YM+VLfvn2Li4u1xkkOAwcOlJGn nnrK5Z1SrQCAVoq8XtWav49AZCarFjnVeuTIkV69eumVJfV4zTXXPPLIIx9/ /HF1dbXDysePH1en50hGlpWV6eMlJSXSkKpFjW9S4FytDz/8sLoju91u3PLr r7+uxp999lk1cvToUTXywx/+UO7XuLL647VYtWqVPujrvFa9Lc8999z169cb v/SXv/xFfUk/a17fme7duxcUNPvbxKhRo9SXnn/+eT+27OtT6g3napX/NZBN XX311Q5ryoiMp6enO29Euvq2226Tr1544YXy3F500UXy8c0336wi1hnVCgDw W0T2qhZJ7yPgWaRUq9YYrr///e9VYRpJrki+fvfdd/qaaWlp6ktr16512IhU rvqSPHB90Llaf/GLX8Q0XmLLeTdUQQ0dOtRhg/KBw5oSTomJidK3a9as0Qf9 rlZpM4cvrVy5Un1Jn4MqPaZGPvvsM4eVq6qq1HUY7r33Xj+27OtT6g3nalX3 279/f4c11RFdh3nLSnl5+ZgxYxy+JUaPHu3uBDSqFQDgh0jtVef3EfDxjHhT iaBqVSQFX3vttd/85jfGc4JEnz599CmvkydPVoNLliz5vLk33nhDfekf//iH vk2HapXAU+v813/91+dO4uPj5UsXXXSRWvmZZ55RK3t5tVi/qzXR6Sw/9ff0 GMMEVClkNeLySOPtt98e0zi9wY8t+/qUesNdtQ4cONBhTTWtwuU7uN15553y pZ/+9Kfy1aKiIvnvz372MxmRcZd3SrUCAHwSqb2qReT7CHgWcdVqlJ2dPWnS pP/4j/9Q1TSk6eVQZ+h49te//lXfjkO16pcs8ExF8q9//euYxpPuvdxnv6v1 lVdecfjSwYMHHdpy6NChMY1zFVxuasKECcbA9mnLvj6l3nCuVvlujGn8HxCH NdUkhKysLIfx/fv3x8bGtm/fft++fcadVxe/cj5pTmusVrvdnuGKTzsPALC8 CO5VLVLfR8CziK5WRdLlggsukEqRejl9+rTWVJLiGlfU+JQpU/QtOFSrml3p bgsxjVcGkA9Utf7mN7+RkYsvvtjLvQ1BtbpL6NZUq69PqTecq/XEiROyqY4d OxqvhSUfd+jQQcbz8/MdtvD555+7rNzrr78+xs0lW6VabTab3RWfdh4AYGGR 3ataBL+PgGcRUa2lpaVHjx51ONfJaOLEiaqp1q1bp3/arl07FbEtcqjWU6dO qWsFPPPMMy3eVv/TuXNTuRTUatUvIOByhoAKbOcZAt5s2den1Bsur9farVs3 uSP9cmEiKysrpvH8MuctbNmyJabxWmR1dXXG8auuukrGV65c6XwTZggAADyQ XnWI1QjrVc3poqwR9T4CnkVEtarz39u2bevuTbX++te/qsraunWrfLpkyRJj xLbI+Wysn//85zJy6623tnhbeerUfS1atMjhSxUVFX//+99TUlKys7P1QVWt P/7xj73ZMc3HttRPjPLpbCxvtuzrU+oNl9U6duxYuZfbb79dXRpC/qsuETBh wgS1ggR5enq6uuiBfLVz587yVeNh3vfeey+m8d2yjNc60FGtAACXrNCrmhUu yupBUVHRoUOHvL90f2v4Xa1SKSqZ/vSnPzm/hahsTc0QkFBR1xeVR6TWN16e VFm+fPlPGkmG6YPO1apfqN/hD8ey/3fccYfcXL+8QH5+fmxsbEzj+VnGa/gL /SqpX3zxhT6o/ogvjh496s1j96ktZQfUSPfu3R3ODvNw5StvtuzrU+oNl9Uq z6c6z65fv35Sqmr6QXx8vH4oe+nSpTLSqVMn9em7776rdkxekYkTJ/7P//yP ukLXq6++6vJOqVYAgAOL9KpmkYuyeiDNUFlZ6d87cvqqNfNa9Yu19u3bd9Gi RTk5OeXl5Zs3b37ppZfUuymJRx99VF/fZrOpwQEDBkh5yj1u3bp16tSp6jwd uUlJSYm+snO1Hjhw4JJLLlF/E3/mmWe++uorGZE8u/baa9Vm9eu1iqSkJDV4 5ZVXzps3b+/evbKmfsVXyTzjAxk9erQaHzZs2GeffSYre37gPrWlZrimgfTe P//5zz179sjO6G/dddVVVzm/y4CXW/bpKfWGy2rVGuaP58pdqP8XiGm8ENb2 7dv1r6prcHXu3Fkf+fjjj6XSY5pI4krKurtTqhUAoLNOr2rWuSirSejVun// fl9vK5mqrmjkjtSg8e0G5L70d6dyII1qPPipuXlH16ysLHUSkLOhQ4dWVVUZ V9Zb1MEPf/jDjRs3GtdctWqVcQXv39HVy7YUDz74oMud+dGPfuTyHV293LJP T6k35NvAZbUqhYWF8tTl5eV5uTV5OLK+w+FuZ1QrAECzWK86X5QVraaqtaKi wo9q1Rqnif7lL39R8xh1sbGxV1xxxeuvv+68vkSszWa78MIL9ZXbtWt37733 Gg/cKepooT5zUpeRkXHjjTca7+7HP/6xNJ5Dsora2topU6aoNx5Vunbtetdd d7mcerFw4UJ1krvo1auX50etTqsX8+bNc/jS4cOH1Zfeeust47g8yZMmTZId MD7wu+++2+EdUf3YsvdPqTfk26C8vNxdtQYJ1QoAUc5lr8pgRPaq1piskqnW usKVl6RkvDwX3g96tR44cKA128nLy5PwkKBas2aNwxxLZ9KTcnebNm3at2+f fxMhSkpKshsVFRW1eF8HDx6U+5Lqa3GzZWVlhYWFvr4Lqvf0ndm5c6fEYWC3 3MqnVMnNzZVvBqoVABAaVutVzekKV9GRrNIhM2bMUOc0Cflg1qxZzuc9tVKg qhXWIN8GVCsAIAQs2KuaZS/K2iJ1Ck+PHj2kXadPn/6jH/0oxtUbfbaSxImU 8KlTpw4dOhSa879gWnV1dXl5efLNIN8SVCsAIEis2aua00VZ5dPoUFlZee65 53bp0qWgoECNHD169LzzzvvBD34Q2MOterUePnxYXaIKUev06dPyPy9UKwAg SCzbq5r1r3Dlwfbt23v06PHnP//ZOKhOFzp48GAA70hVq0Ty8ePH9UJGdJJv APk2kG8GqhUAEEASpVbuVY0rXDkqKSnp1KlTMI611tXVVVVVqbc2COCWEXHk G0C+DeSbQb4lqFYAQOtZv1edr3AV9cmqNRx4ToiJifnjH/8Y8C3rl2w9cOBA AN/RHpGlsrIyNzfXw8Vag4dqBQDrsX6vao3JGn2XC/BMEmLcuHHqwqQnTpwI xvYlVKRX8/Pz/btqKyxAXnr5BpBvA6oVANAaUdGrWpRe4cqzqqqqBx54QCWr H2+66qW6urrq6uqTJ08ePHiQeQJRSF50eenlG0C+DeSbIcT3TrUCgDVES69q TpcLCPQlniJRcXGxeh+ovn37tvi2mK2hn5NVVFS0b98+by7ID8uQby150eWl D/15WIokq81mS25it9tDvAMAgFaKol4V0qhReYUrDyRZr776aknWoUOHlpWV Bfvu1DyBU6dOFRYW7t+/Pycn5+TJk8G+U4SXvMTyQsvLLS+6vPShnxugSLVK qRY0Cf0OAAD85qFXw71rwWE89ypqrnC1YMGCESNGjB07Vr8mgATDpEmTZFC+ JJ8OHz5cklX+G7KL/+vhWlRUlJeXt3XrVkmao0ePlpeXh/6vxggSeSnlBZWX VV5ceYkPHjwoL3cYk1VjhgAARKao69UovlzA/v37O3bsKF2alJSkRubOnSuf durU6cCBA2vWrFFv5PrLX/7y5uYCe71WB5I0aqrAyZMnT5w4IfclbZOVlbVh w4bMzMyMjIz0RmsRUdSrJi+fvIjyUsoLKi+rvLjyEssLrSYGhPF/TKhWAIgs UderWmOySqZG8blX8+fPly4999xzJSG2b98uH8inixYtki9NnDgxxo2dO3cG da/UHNeqqqrTp09L0hQXF3/33XfHjx8/2ujIkSOHEYHkhVOvoLyU8oLKyyov rrzE8kKHZS6rEdUKAJEiGntV43IBZ9x7770SooMGDerbt698MGrUqHDv0Rm1 jWpqaqRqKisrJW8qmpQjAukvn7yU8oLKyyovrnqVw/29RrUCQASI0l7VnC4X kJAQ7h0Km8LCwvj4eHUQ9corrzx1ylzn2akJA7Ak88xVploBwMyit1c1Lhfg aPbs2apa33zzzXDvCxAGVCsAmFNU96oWpZcL8KCgoEA/1iofcNkfRCGqFQDM Jtp7NYovF+DBPffcI71666233nzzzfKBfBruPQJCjWoFAPOI9l7VOPfKtdTU VCnV8847Ly8v78CBAx06dJBPU6N+ygSiDdUKAGZArzZwSNYoPvfKaP/+/SpT 9emsr776qnwqg/Kl8O4bEEpUKwCEF716hsO5V/IpGg0ZMkTNDdBH6uvr1eAQ jkUjmlCtABAuLnt17Euroq5XNc69AtAyqhUAQo9e/R7nXgHwDtUKAKFErzYj yWo8xCrJCgBuUK0AEBr0qiMuFwDAF5Ksdrs9xyDcewQAVkOvusC5VwB8JNVq s9mSm3DcFQACiF51LSGBt2oF4CtmCABAMNCrrnHuFQB/Ua0AEFj0qlvO517J CAB4h2oFgEChVz3h3CsArUO1AkDr0ast4NwrAK1GtQJAa9CrLeN9rwAEAtUK AP6hV1vGuVcAAodqBQBf0ateYSIrgICiWgHAe/Sqt1JTmyVrQkK4dwhAxKNa AcAb9KoPHN5EgHOvAAQC1QoAntGrPmAiK4CgoVoBwB161TeSrJKpvIkAgOCg WgHAGb3qM869AhBkVCsAGEmvvvFxNr3qG95EABGovt7/BWFBtQKAQq/6w2Ei K28igEigx2dd01Jb1/Kir0y7hgvVCgD0qp+cJ7KSrDA3Y69KiFbXalWNS2VN w3LazaK+qtaUm6iCpV1DT5LVZrMlN7Hb7eHeIwAIHXrVf0xkRaTRe7WmsVcl RyuqtZNVWmmlVnJaK25cik5phYZFPlXjsoKsJivLTeSGcvMaQ7siNKRapVRz mhQUFIR7jwAgFOjVVmEiKyKNnqyqVw+VajO+0ob+S7vyZe0nL3m7yMq3v63N Wttwc9WuhGsoMUMAQLShV1uFiayITHqynqrWFu/Q/vtV7T9T/F/+69WGjcim 9HBFCFCtAKIHvdpaTGRFZFKHQ2vqGg6QSm1KdvZq9SIbkU3JBmWzHG4NDaoV QDSgVwOAiayIWPWN515V1WoHirW+r2g95wRmkU3lFjdstraOag0FqhWAtdGr gcFEVkQs/UBrRbU2/SvtijmBXKasbtgsh1tDg2oFYFX0amAwkRURTs1orarV yiq1W+Zrl7/oz3LHAm3Zbm3bcW3iF83Gb7Y3bLaK2a0GO3bsmD59+qhRoxIT E7Ozs1tc/9ixYy+99NKYMWOeeuqp999/v66uzt2aVCsA66FXA8ZhVgATWRGB 1PSA0zUNV7LqlaL1mO3PIr2q++3b34/3nNOwWdk4kwSUlJSUtm3bxjRp06ZN cnKyh/U/+uijDh06xBj069evrKzM5cpUKwAroVcDyWFWABNZEZn0aj1RrnVP 9mdJWtNsg/d/0OyrslmqVcnIyJBMbd++/dy5c7dt2zZr1iwp2NjY2G+++cbl +rt37z7nnHOkVMeNG7d3794vvviiV69e8unIkSNdrk+1ArAG6dUZ8zPp1YBx mBXARFZELH1Sa3659qMXfF6ue73hLQZ0B0scV5DN6lNbnUm59W8kSWYc//rr r9X4jTfeWFVVFeTnIESGDRsmzZmUlKSPzJw5U0YefPBBl+s/8MAD8tUxY8bo Ixs3bpSRCy64wOU8AaoVQKSjVwPMYSIrswIQ4fRqPVamdZvl87L2QLOtDV/o uIJs1kO1ZmVlxcbGSoldd911+mB+fn58fLwMypcWL14c5CcgRKQzO3bsKA/q 8OHD+uDx48flMcbFxdXU1DisX1tb26FDhzZt2sizYRxPS0tLT093eRdUK4DI Ra8GnvNEVolYIJKpai2v0o6WafHP+7aM/6zZpl7JdLGObFY27q5ataYjkGLt 2rVaY60NGTJEjUybNi34T0CI7NmzRx5R165dHcYvvvhiGd+92/HH8q5du2S8 b9++9fX1K1eunDFjRkpKyrp16zzcBdUKIBLRq0HhMJE1ISHcOwQEgF6tR0q1 S5J8WH6S0mxuwIHihhHn1WSzJz1Wa3Z2tjrcescdd8inTz75pErW++67LyRP QIhkZmbKg7r66qsdxmVExp0Pny5btkzGb7jhhptuusl4Ntb9999/6tQpl3dB tQKILPRqUDhf3io1Ndz7BASGqlYJy8Ol2sUzmy3/OUf7n3cb/uswrpZPdjXb jqzpcrXDLVWruOeee9QJ9UlJSfqZ8qdPn3Z7gwi0cuVKeVz9+/d3GB80aJCM r1ixwmF84cKF6qmQpH/ooYfee++9yZMnx8XFycj48eNd3gXVCiBSuOvVNZsP hXvXIhyXt0LrvLV0a4gXn3bPWK1dZ3y/9Hqx4fCpKD6t3fxWsy/J8lDz2aZ/ X+e4gr54U63btm2TZNUPJ8bHxx89etSPp9rMVLUOHDjQYXzAgAEyvtrpp8qC BQvUszF16lR9cPny5TJy1llnlZaWOt8F1QrA/OjVIEpN5fJWaCWHf5shWHza PWO1Xjj9+2XKqu/XkXC96Z/ff+mK2WeCVpGPZcR4W+PiTbWKe++9V0VaXFzc pk2bfHoIEWHDhg3y6Pr06eMw3rt3bxnPyspyGP/444/V8efy8nLjeM+ePWU8 MzPT+S4kWe12e44rgX0sAOAHejW4EhK4vBVaL4KqtfO075fHm29my1HtsuQz X0r5utmX7lzQ7IYOizfVWlpaKjmnqnXw4ME+7X+kOHHihDy6jh071hueCPlY vYmAw4UCtMarK8h4u3btHC4vcO2118p4Wlqa811ItdpstmRXgvGIAMBL9Gpw cXkrBE6kzBA4UqqdP7XZsnp/szU3H20YHPZ2s8E5GY63clhaPBtLquzXv/61 8YQjlwcSLaBbt27y6DZv3qyPqDTtLj9hnFRWVqpZrMYjz/JcXXTRRTK4dauL V5kZAgDMhl4NOi5vhWhirNbzpjRbfjyroVSNUr9pNpJb1LCOw60clhardeTI kSpWr7vuOvVup7fccksQH3D4jB07Vh7d7bffXl1dLZ/Kf2+77TYZmTBhglqh uLg4PT19/fr16tM//vGP8tUBAwboJ6a98MILMnL55ZfXu3o2qVYA5kGvhgKX t0KU0d9lQPKyw3OOS7fnGya1uvO7f7m4icMim/XwLgOzZ89Wydq3b9+Kiorf //73xmu3Wkx+fn6XLl3UFRKkVK+55hp16pk+PWDp0qUy0qlTJ/VpXl6eWl+e nMTExLvvvltdUuDjjz92uX2qFYAZ7MwtkDqlV4OLy1shKhnfG+sHk10s173m Olxnp7te32Hx8N5YS5YsUZcOkDY7ePCgjGzatElV6w033BD8hx4Gubm5AwYM UNenVRfC2r59u/7VtLQ0GezcubM+kpOTM3jwYH39bt26vf/+++42TrUCCC96 NUS4vBWilcRkbZ12qlo7flKLm+x6+aNTKO0v0n6Y5HZ94yKblY3XOlXrxo0b 1bzNs846a82aNfr40KFDVaGtWrXK8V6torCwUB5+Xl6el+sfOXJk/fr1O3fu dH7jVyOqFUC40Kuh4zArgMtbIZro1ZpfrnWcop2T6Hp5uHkNDZ3vdk3j0nla w2adq7W0tPSSSy5RdTpv3jzjltetW6fGb7311pA8AdZBtQIIPXo1dJxnBXB5 K0QZVa2VNVrhKe3Kv2tnP+t2mbhCKzrVsIz+xNNqxkU2KJuVjTsfa0XAUa0A QoleDSlmBQCN1VpXr1XVaiWntUfStLMmBXJ5eGnDZmXjchdUa7BRrQBCg14N NWYFAE2kJ6trtfIqLftYw7Wq2j0TmEU2JRuUzcrGSdYQoFoBBJu7XpXxcO+a RTErAGhOTRI43ThJ4JVMrd0kre0zrV1kI7Ip2eBppgeECtUKIHjo1TBgVgDg Sl3T4dZjZQ1vd/Ufk7U2E/1f5OYpXzdsSh1orSNZQ4JqBRAM9Gp4MCsAcEMd bq2q1coqG2pzXZ7250XaZS9oZz2jxT7t7XLus1qv2dpDi7X1hxo2crKqYYMc aA0ZqhVAYNGr4cGsAKAleriWV2kFFdrhUm1PgbbtuLblqLbpsLbh0JllvWHR B7850rCarCw3kRvKzctJ1pCjWgEECr0aNswKALyjwrW6tmEy6smqhlmpJ8ob 3ibgaFnDG7MedrPIl2QFWU1WLjrVcEO5eTXJGnJUK4DWW7x6N70aNswKAHwk tanatbKmYZEErahuWMqrXCzqS7KcrjmzvupVWRBiVCuA1qBXw4lZAUAr1NWf iU9fF869ChdJVpvNltzEbreHe48ARAZ6NcyYFQAgyki1SqnmNCko4NcNgBbQ q+GXkMCsAADRhhkCALxHr4YfswIARCuqFYA36FVTcDjxilkBAKIJ1QrAM5e9 OmN+5nfFp8K9a9HE+RBrQkK49wkAQopqBeAOvWoWDideyZKaGu59AoBQo1oB OKNXTcR5VkBubrj3CQDCgGoFYESvmggnXgGAAdUKQKFXzSU1lROvAMCIagVA r5qL8yFWLscKAFQrEN2kVx1ilV4Ns9WrGw6rMisAAJxQrUB0olfNiMuxAoB7 VCsQbehVM+LEKwBoCdUKRA961aQ48QoAvEC1AtGAXjUpTrwCAK9RrYC1uexV GaRXw8/5Ha+YFQAA7kmy2u32HINw7xGAwKBXTY0TrwDAR1KtNpstuQnHXQEL oFdNjROvAMAvzBAArIReNTsOsQKAv6hWwBroVbPjxCsAaB2qFYh09GoE4NpW gPnU1/u/ICyoViBCSZTSqxGAQ6yA+ejxWde01Na1vOgr067hQrUCEYdejRhc 2wowGWOvSohW12pVjUtlTcNy2s2ivqrWlJuogg1Gu6anp8+bN2/OnDmffvrp 6dOnA7lpS6BagQhCr0YSTrwCTEbv1ZrGXpUcrajWTlZppZVayWmtuHEpOqUV Ghb5VI3LCrKarCw3kRvKzWsM7dp6hYWF119/fYzBZZddtnHjxgBs2kKoViAi 0KuRROpUGpVDrICZ6MmqevVQqTbjK23ov7QrX9Z+8pK3i6x8+9varLUNN1ft Gqhwveeee6RUr7322nfeeeff//738OHD5dPu3btXVFQE4tFbBNUKmBy9GmE4 xAqYkp6sp6q1xTu0/35V+88U/5f/erVhI7IpPVxb4+TJk+3atWvbtu3Ro0eb 9rb+iiuukHD98ssvA/DgrYJqBUyLXo0wubkcYgXMSR0OralrOEAqtSnZ2avV i2xENiUblM228nDrgQMH/vd///eJJ54wDqqjr++9915rH7yFUK2ACXno1XDv GtzgECtgYvWN515V1WoHirW+r2g95wRmkU3lFjdstrYuwKdllZSUnHvuuVKt OTk5gdxuhKNaAVOhVyOP87WtEhLCvU8AvqcfaK2o1qZ/pV0xJ5DLlNUNm239 4VYHf/7znyVZf/vb3wZsi5ZAtQImQa9GJA6xAqanZrRW1Wplldot87XLX/Rn uWOBtmy3tu24NvGLZuM32xs2WxWI2a1KXV3dmDFjJFkvueQSfZorFKoVCDt6 NSLx9gFAhFDTA07XNFzJqleK1mO2P4v0qu63b38/3nNOw2Zl4wGZJHD69Om7 7rpLkvXSSy9lboAzqhUII3o1UnGIFYgcerWeKNe6J/uzJK1ptsH7P2j2Vdls QKq1rKxs8ODBkqxXXnnloUOHWrUti6JagbCgVyMVh1iBSKNPas0v1370gs/L da83vMWA7mCJ4wqyWX1qq7NZs2b1b/TFF18Yx7/++ms1fuONN1ZVVRUWFl5z zTWSrLfccktpaWmQn5JIJclqs9mSm9jt9nDvEWBx9GoEcz7EyrWtANPTq/VY mdZtls/L2gPNtjZ8oeMKslkP1ZqVlRUbGys5et111+mD+fn58fHxMihfWrx4 sYz84Q9/kE/vuuuumpqa4D4dkUyqVUo1p0lBQUG49wiwLHo1grk8xCqDAExP VWt5lXa0TIt/3rdl/GfNNvVKpot1ZLOycXfVKoYNG6bepHXt2rXyaW1t7ZAh Q9TItGnTZGTNmjXq06uuumpgc0uXLg36ExQ5mCEAhAC9Gtk4xApEMr1aj5Rq lyT5sPwkpdncgAPFDSPOq8lmT3qs1uzsbHW49Y477pBPn3zySdWo9913n1rh 2WefjXHjtddeC/oTFDmoViCo6NXIxixWIPKpapWwPFyqXTyz2fKfc7T/ebfh vw7javlkV7PtyJouVzvcUrVqTW901aZNm6SkJJWj/fr1O336tNsbwBWqFQgS l7069qVV9GrE4BAr4KURI0K9+MJYrV1nfL/0erHh8KkoPq3d/FazL8ny0OJm G/n7OscV9MWbat22bZskq34ENT4+nmux+oFqBQKOXo14HGIFfGL8xxKaxRfG ar1w+vfLlFXfryPhetM/v//SFbPPBK0iH8uI8bbGxZtqFffee69K1ri4uE2b Nvn0EKBQrUAA0atWwLVYAV9FTrV2nvb98vinzVbbclS7LPnMl1K+bvalOxc0 u6HD4k21lpaW9unTR1Xr4MGDfdr/iLNjx47p06ePGjUqMTExOzvb+xsuW7Zs 3LhxHm5CtQIBQa9agdSpNCqHWAFfRcgMgSOl2vlTmy2r9zdbc/PRhsFhbzcb nJPheCuHpcWzsWpqan79618bz7HKzMz06SFEkJSUlLZt2+qPtE2bNsnJyd7c MDc397zzzpObLFy40N06VCvQSvSqFeTmcogVsCpjtZ43pdny41kNpWqU+k2z kdyihnUcbuWwtFitI0eOVAl33XXXqaK75ZZbgviAwycjI0MytX379nPnzt22 bdusWbPk8cbGxn7zzTeeb1hbW/vLX/5SPUtUKxAM9KpFSJ06/PExISHc+wQg YPR3GZC87PCc49Lt+YZJre787l8ubuKwyGY9vMvA7NmzVYz17du3oqLi97// vfHarRajrkyblJSkj8ycOVNGHnzwQc83nDFjhn54lmoFAotetQjns644xApY jvG9sX4w2cVy3Wuuw3V2uuv1HRYP7421ZMkSdemALl26HDx4UEY2bdqk2uyG G24I/kMPqbq6uo4dO8pDO3z4sD54/Pjx2NjYuLg4D+/5Jc/JWWed1atXrzvu uINqBQKIXrUOhykBsnBhK8CKJCZr67RT1drxk1rcZNfLH993vNX+Iu2HSW7X Ny6yWdl4rVO1bty4UWpNMkySbM2aNfr40KFDVbiuWrXK8V4j2Z49e+RBde3a 1WH84osvlvHdu13/lqyoqPjJT37Srl279evXDx8+nGoFAoJetQ4OsQLRRK/W /HKt4xTtnETXy8PNa2jofLdrGpfO0xo261ytpaWll1xyiarTefPmGbe8bt06 NX7rrbeG5AkIkczMTHlQV199tcO4jMh4enq6y1uNGjVKvprYeNCAagVaj161 FA6xAlFGVWtljVZ4Srvy79rZz7pdJq7Qik41LKM/8bSacZENymZl487HWqPN ypUrpTn79+/vMD5o0CAZX7FihfNN0tLSYmNj+/Xrp+YPUK1Aa9CrluLyvQNk EIClSUzW1WtVtVrJae2RNO2sSYFcHl7asFnZuNwF1SrNOXDgQIfxAQMGyPhq p79n5efnX3TRRXFxcTk5OWqEagX8Q69aDW/PCkQx6cnqWq28Sss+1nCtqnbP BGaRTckGZbOy8ShPVrFhwwZpzj59+jiM9+7dW8azsrIcxu+++24Zv+uuu1Y0 GTx4sIzYbDb5uKioyPkuJFntdnuOK8F6VIC50atW43xhK947AIgyapLA6cZJ Aq9kau0maW2fae0iG5FNyQZPMz2g0YkTJ6Q5O3bsWG94LuTjDh06yHh+fr7D +pdffnmMey5nFEi1StMmuxLcxwaYD71qNZx1BaBJXdPh1mNlDW939R+TtTYT /V/k5ilfN2xKHWiti/pkVbp16ybBuXnzZn0kKytLRrrLz14nU6dO/VtzPXv2 VCepyccurznADAFAo1ctibOuABiow61VtVpZZUNtrsvT/rxIu+wF7axntNin vV3OfVbrNVt7aLG2/lDDRk5WNWyQA626sWPHSnbefvvt1dXV8qn897bbbpOR CRMmqBWKi4vT09PXr1/v8ubMawU8o1ctKDe34Zgqh1gBNKeHa3mVVlChHS7V 9hRo245rW45qmw5rGw6dWdYbFn3wmyMNq8nKchO5ody8nGR1kp+f36VLFynP fv36Salec8018nF8fLw+PWDp0qUy0qlTJ5c3p1oBd+hVC5Je5RArAPdUuFbX NkxGPVnVMCv1RHnD2wQcLWt4Y9bDbhb5kqwgq8nKRacabig3ryZZXcnNzR0w YEBsbKyantq/f//t27frX01LS5PBzp07u7zt/fffL199/32nt3xoQrUiCtGr 1pSayllXALwhtanatbKmYZEErahuWMqrXCzqS7KcrjmzvupVWeBOYWHhxo0b 8/LyArtZqhVRRXr1jY+z6VWr4awrAL6rqz8Tn74unHsVLlQrogS9allMCQCA 6EC1wvLoVctavdrFWVe81xUAWBTVCgujVy3L5ZQADrECgKVRrbAketXKnKcE JCSEe58AAEFHtcJi6FUrczklgLOuACA6UK2wDHrVypgSAABRj2qFBdCrFseU AAAA1YoIR69aHFMCAABNqFZEKHrV4pgSAABojmpFxKFXrY8pAQAAJ5KsNpst uYndbg/3HgFu0avWl5rq2KtMCQAANJJqlVLNaVJQUBDuPQJckF6dMT+TXrUy pgQAADxihgBMjl61PulV5ykB9CoAoDmqFaZFr0YF517t3r2hYwEAaI5qhQnR q1HB5VWtUlPDvVsAAJOiWmEq9GpUcJ7CypQAAEBLqFaYBL0aFVxOYZWCBQCg JVQrws5dr67ZfCjcu4aAcjmFlataAQC8Q7UijOjVaOFyCitTAgAAvqBaERb0 arRgCisAIECoVoQYvRot3E1h5apWAAC/UK0IGXo1WrjsVaawAgBah2pFCOzM LZA6pVejgste5SqsAIBWo1oRVPRqFOGUKwBAMFGtCBJ6NYpwyhUAIPioVgQc vRpFOOUKABAqkqx2uz3HINx7hAhGr0YRTrkCAISWVKvNZktuwnFX+IdejS4u e5UpAQCAYGKGAFrJXa/KeLh3DUFArwIAwoRqhd/o1ejifIkATrkCAIQQ1Qo/ 0KvRJTeXXgUAhB3VCp/Qq9HF5SWtuEQAACAcqFZ4iV6NLtKlCQlcIgAAYB5U K1q0ePVuejWKcEkrAIApUa3wgF6NLu56lSmsAAAToFrhEr0aXehVAIDpUa1w QK9GF3oVABAhqFbo6NXoQq8CACIK1QqNXo1C9CoAINJQrVHOZa/OmJ/5XfGp cO8agsO5V3nLAABAJKBaoxa9GnXoVQBAJKNaoxC9GnXc9SpvcQUAiBxUa1Sh V6OLy/Ot6FUAQGSSZLXZbMlN7HZ7uPcIQUGvRhd6FQBgOVKtUqo5TQoKOGfc aujV6EKvAgAsihkCFia96hCr9KqV0asAAEujWi2JXo0u9CoAIApQrRZDr0YX ehUAEDWoVsugV6OLh14FAMCKqFYLoFeji/RqQgLvxwoAMKcdO3ZMnz591KhR iYmJ2dnZLa6/Zs2apKSk0aNHT5s2bfny5R7WpFojmstelUF61ZroVQCAuaWk pLRt2zamSZs2bZKTk92tXFVVNWzYsJjmbrzxxpKSEpfrU60Ril6NLtKrQ4bQ qwAAM8vIyJBMbd++/dy5c7dt2zZr1iwp2NjY2G+++cbl+uPHj5dMvfTSSxcu XLh3796PPvro8ssvl5EHHnjA5fpUa8ShV6OLdKnUKb0KADA9deA0KSlJH5k5 c6aMPPjgg84r19fXd+nSRb4qrasPbt++XUbOPvvsqqoq55tQrRGEXo0i7k62 olcBAKZUV1fXsWNHac7Dhw/rg8ePH4+NjY2Li6upqXFY/8iRI7179+7Ro4fD eIcOHWQj3377rfNdUK0RgV6NIh56NTU13DsHAIBre/bskdrs2rWrw/jFF18s 47t37/ZmI1u2bJGVXVauRrWaHr0aRdz16pAh2urV4d45AAA8yczMlOC8+uqr HcZlRMbT09Nb3EJ1dfX1118vK995550uV6BazUmilF6NIi4vDsCbBQAAIsfK lSslOPv37+8wPmjQIBlfsWKF55vX1tYOHz5c1uzUqdP+/ftdrkO1mg29Gl1S UznZCgBgAapaBw4c6DA+YMAAGV/t8Y+GFRUVv/vd72S1Dh06rF271t1qVKt5 0KtRRE0GoFcBAFaxYcMGyc4+ffo4jPfu3VvGs7Ky3N0wPz+/X79+sk6XLl0y MzM93IUkq91uz3ElMI8BXqBXowgXBwAAWNGJEyekPDt27FhfX68PysfqmgCS pi5vtXfv3ssuu0xW6Nmzp3zs+S6kWm02W7IrgXwkcINejSLuJq9ycQAAgCV0 69ZN+nPz5s36SFZWlox0l990rhw6dEjd5Nprry0oKGhx+8wQCBd6NYq4nAzA yVYAAGsZO3asJOjtt99eXV2tNV4T4LbbbpORCRMmqBWKi4vT09PXr1+vPh08 eLCaCltRUeHN9qnW0PPQq+HeNQQUkwEAANEkPz9fvd1Vv379pFSvueYa+Tg+ Pl6fHrB06VJ1lQD5+Msvv4xpFBcXd6GTnTt3Om+fag0lejVa0KsAgKiUm5s7 YMCA2NhYVaT9+/ffvn27/tW0tDQZ7Ny5s3w8e/bsGPe2bt3qvHGqNTTo1Wjh bjJAQgKTAQAAUaKwsHDjxo15eXmB3SzVGmz0alTwfHCVXgUAoNWo1uChV6OC hysDMBkAAIDAoVqDgV61PndvEyDLkCFcyQoAgICjWgOLXrU+zrQCACAcqNZA oVetz93BVXoVAIDgo1pbj161OHcHV3mbAAAAQohqbQ161eI4uAoAgGlQrf6h V63Mw8HVhATOtAIAICyoVl+57NWxL62iVyOeh8sCcHAVAIBwo1q9R69aFgdX AQAwParVG/SqNXFwFQCAyCHJarPZkpvY7fZw75G50KvWtHq16ze0UpcFkK8C AACTkWqVUs1pUlBQEO49Mgt61YI8zATg4CoAAObGDAFn9KrVtDgTgGuuAgBg elSrEb1qNR5mAnBwFQCAiEK1KvSqpTATAAAAy6Fa6VXraHEmAKdZAQAQsaK5 WulVi/AQqxxcBQDAKqKzWulVK1CxOmQIsQoAQDSItmqlV62gxXOsuCYAAACW Ez3VSq9GPIlVz+dYMW0VAADrioZqpVcjm4cLAqi3skpNDfcuAgCAoLN2tdKr EcxzrDJtFQCAKGPVaqVXIxWxCgAAXLFetdKrEcnDnFViFQAAWKta6dUIow6r EqsAAMAL1qhW6dU3Ps6mVyOD5+usEqsAAMAVSVa73Z5jEO498g29GjGIVQAA 0ApSrTabLblJBB13pVcjg+e3W5VFOpZYBQAALYnEGQL0qtlJqXpzdhXXWQUA AF6LrGqlV03NyzkAvIMVAADwXaRUK71qXi3OASBWAQBAq5m/WulVM1KlmpDg tlT1CauyJgAAQKuZuVrpVdNhDgAAAAgTc1YrvWoiLZaqHqscVgUAAEFjtmql V02hxXet0kuVi1YBAICQME+10qthpl+uypvDqswBAAAAoWWGapVenTE/k14N A59KlcurAgCA8AlvtdKr4eHlVFUuAgAAAEwjXNVKr4aaN6XKBAAAAGBWoa9W ejVEvPzrP6UKAAAiQSirlV4NOv3cf0oVAABYS2iqlV4NIm/epopSBQAAES7Y 1equV9dsPhS8O7U4ydTUVK8OqFKqAADAKiRZbTZbchO73R6oLdOrAeP9DFXj uf+UKgAAsBCpVinVnCYFBQWt3ya9GgDez1A1vk0VV6kCAAAWFdgZAvSqn6Q2 fc1UDqgCAIBoEqhqpVd9o//RPyHBq0w1HlClVAEAQPRpfbXuzC2QOqVXW+DT 3FQ9U6VpyVQAAIDWVSu96pbeqGQqAABAIPhXrfRqM/41Kn/0BwAA8Jqv1Uqv fn+5VO+npDqcQkWmAgAA+Mj7ao3GXvX7IKpqVP7iDwAAECDeVKv1e1VdeEod QVWBKsHpU6MGaFaqvBY5OTmBe2BoleTk5HDvAs6QfxcheO9peImfVKZit9sD cq11wPw8V6u7XpXxUO5kIBkPn/r6J353f+sP3LX9JZP4XWAeI0aMCPcu4IyM jIwAvnMfWkleC3lFwr0XOMNms1GtiBLuqjWye1WlqfHYqX916nAQVTYY5L/1 U62mQrWaB9VqKlSrqVCtiB7O1RrwXpUMC/DPN/UHfWOXJiTYJ09uVZo6zER1 Fagh+KUZgmqV1yLYdxH4V9yJ/IgOwd+LQ1Ct8iiC/evGGq94aKrVGncRglc8 BNVqmR8jIXjFqVZED2O1Bun4qm+/boxFaojSM8dL3Uw3LejQwTZ8uG91avwT v3dHUEPQMCGo1hD8uglBYMizFIJJpyF4xUPw6yYEr3hg3xjapRB8U8kLIS9H UO9C48eI1/gx4j2qFdFD/boJSq+q/szNbfjhM3myY4g6tKgfZz+1WK0qTdWx U1/q1B1+3XiJXzfeo1q9RLV6jx8jXuLHCBBhVq9e+sQT4/9vwut3Pm5cFg+5 b1fC377PS+MiEagvqjn1xU18ft2rV2or/3bv+ayohITvkpMbqlX9WT9oU0/5 deMlft14j2r1EtXqPX6MeIkfI4B55HghY+gw6UlZdl9ySfCWT/77v5N/8xv/ tzBw4O7hw88sNlvOvHk5n33m+EAyMuSfrTcPuTXkh0+w70IehZqTFjzyU1pd tSZ4ZPvq92ZE30UOr7jX7I2CehcheMX5MeI9fox4z+SveLhTBTgj2RtjxtiG D5dFqjLoy5gxZxYAAGAC4U4VwBeJiW/dNHTp3Xc7/q3feTFODNBniuqLmrCq /4FeLWpeKwAAANBqqf96n3ecAQAAgMmF4DQKAAAAoJWoVgAAAJgf1QoAAADz o1oBAABgflQrAAAAzI9qBQAAgPlRraG0Y8eO6dOnjxo1KjExMTs725ubrFmz JikpafTo0dOmTVu+fHmw9zCq+PFy6JYtWzZu3DhfbwUPfH05jh079tJLL40Z M+app556//336+rqQrCTUcKPfxobN26Un1QPP/yw/HfTpk3B3sMoVFlZKd/t Cxcu9Gbl1vxwA8yMag2ZlJSUtm3bxjRp06aN5/clqaqqGjZsWExzN954Y0lJ Scj22cJ8fTmMcnNzzzvvPLmVl79B0CJfX46PPvqoQ4cOxn8a/fr1KysrC9kO W5gf/zSeeOIJWc14E/l/utDsbfQYOXKkPLePPvpoi2u25ocbYHJUa2hkZGTI j4727dvPnTt327Zts2bNkp8qsbGx33zzjbubjB8/Xn7gXHrppZJGe/fulV/T l19+uYw88MADodxzS/Lj5dDV1tb+8pe/VL8OqNaA8PXl2L179znnnCPPv6SR /NP44osvevXqJZ/Kr/UQ77n1+PFPY/HixfLkx8XFvfnmm/v27Xvrrbd+8IMf yMgHH3wQyj23sJKSkoSEBPUzp8Vqbc0PN8D8qNbQUEdNk5KS9JGZM2fKyIMP Puhy/fr6+i5dusgK8iNIH9y+fbuMnH322VVVVUHfY0vz9eUwmjFjhn4Qg2oN CF9fDvkfN/nqmDFj9JGNGzfKyAUXXMA8gVby45/Gn/70J1nhueee00emT58u I/fdd19w9zU6LF26ND4+Xv+Z02K1tuaHG2B+VGsIyG/Sjh07ys+Nw4cP64PH jx+X//+Ni4urqalxvsmRI0d69+7do0cPh3H1V9Fvv/02uHtsaX68HLpNmzad ddZZvXr1uuOOO6jWgPD15aitrZV/BW3atMnPzzeOp6Wlpaenh2KPrcu/fxq/ /e1v5Sbz5s3TR9555x0ZueGGG4K+x1Hg/PPPV3PDbDZbi9Xamh9uQESgWkNg z5498mOka9euDuMXX3yxjO/evdvL7WzZskX9JY4fPq3h98tRUVHxk5/8pF27 duvXrx8+fDjVGhC+vhy7du2S8b59+9bX169cuXLGjBkpKSnr1q0L1f5amX// NNRfH+QVKS4ulk9Pnjw5cOBAGXnqqaeCvsdR4JZbblm0aJF8t8+dO7fFag3U 7xrAtKjWEMjMzJSfGFdffbXDuIzIuJcHiKqrq6+//npZ/8477wzCPkYRv1+O UaNGyQqJiYnyMdUaKL6+HMuWLVPH8W666Sbj2Vj333//qVOnQrXX1uTfPw35 v7nbbrtNVrjwwgt/9atfXXTRRfLxzTffrCIWgeJNtQbkdw1gZpKsNpstuYnd bg/3HlnQypUr5SdG//79HcYHDRok4ytWrGhxC7W1tSqTOnXqtH///uDsZrTw 7+VIS0uLjY3t16+fOtBNtQaKry+HPOcqU+XleOihh957773JkyfHxcXJyPjx 40O119bk3z+N8vLyMWPGxDQ3evRo/icisLyp1tb/rgFMTqpVSjWnSUFBQbj3 yILUT5KBAwc6jA8YMEDGV69e7fnmFRUVv/vd72TNDh06rF27Nlh7GTX8eDny 8/MvuugiSSP5N6JGqNZA8fXlWLBggeqiqVOn6oPLly+XkbPOOqu0tDTYO2xh /v2kuvPOO+WrP/3pT2WFoqIi+e/PfvYz/ioUcN5Xq9+/awDzY4ZACGzYsEF+ YvTp08dhvHfv3jKelZXl4bbSS/369ZPVunTpkpmZGczdjBZ+vBx33323fOmu u+5a0WTw4MEyYrPZ5GP5TR2SHbcmX1+Ojz/+OKbxEpTl5eXG8Z49e8o4/0Za w49/Gvv374+NjW3fvv2+ffv0wYMHD6qLX+3cuTO4exxNvKnW1vyuASIC1RoC J06ckJ8YHTt2rK+v1wflY3VBAIdToY327t172WWXyTryG1k+DsnOWp8fL4e6 Uq47/N2tNXx9OeQ3r4y3a9fO4ZzEa6+9VsbT0tJCsdMW5cc/jc8//9xlJqlJ +FyyNYC8qVa/f9cAkYJqDY1u3brJD43NmzfrI+qXb/fu3d3d5NChQ+pW8uuY mRuB5evLMXXq1L81p47s3XrrrfIxZ+a2kk8vR2VlpZrFanzbUClYdRLQ1q1b Q7HH1uXrPw11YZPzzz/f4Uq5V111lYyvXLkyuLsbTbypVs2v3zVABMloFO69 sL6xY8fKz43bb7+9urpaa7wggDrrdsKECWqF4uLi9PT09evX6zdRf4MeOHBg RUVFeHbauv6/vbtXTSQKwwAccwnDdiIIuQEbf7oU3kMacxH2FoKtWOotKHaS XICt2IqkCwyIWFhbumczINlV/IuJizxP5Zw5whlf/DzjHGbOiOMf1rVe0Klx PD8/h72lUmm1WiUtzWYztDw8PHz+i4kzHMxi/XccoUMURaFDo9HYdOj1encf 9+jzjN0L2jlr3a5UxyQIsN9isUiedVUoFEL1yOfz4XU6nd5csnl5ebn7uEVA sjkcDpOrz6Hy/9pitdgXnRrHNrPWCzo1jjiOk/65XK5eryerjlOp1GAwuN5B 3IiDWay34uh2u0mxKpfLtVrt6enp/v4+bHY6nSsdxG3aOWvdrlTHJAhw0Pv7 e6lUCr+tSYUvFouTyWSz9/X1NTRGUZRstlqtPQspXQb9upPi2FapVEKHfr// I4O9fafG8fb29vj4uOmfyWRkcSn7s1jviiOcL2Sz2U2BCnOkMJX98YHfuHa7 HT7barX6uXFnpTqYIMCRlsvleDyO4/jaA+EPcfxXTo1jNpuNRqPpdOppcRd3 xldjPp+Ht4RQvm9UHE9xAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACA 7/MbLug0Zg== "], {{0, 238.}, {457., 0}}, {0, 255}, ColorFunction->RGBColor, ImageResolution->144.], BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSizeRaw->{457., 238.}, PlotRange->{{0, 457.}, {0, 238.}}]], "Output", TaggingRules->{}, CellChangeTimes->{{3.763984067790391*^9, 3.7639841030006423`*^9}, 3.763984215769211*^9, {3.763984250710802*^9, 3.763984290266161*^9}, { 3.7639846825101433`*^9, 3.763984682997885*^9}, 3.7645006241835847`*^9}, CellLabel->"Out[28]=", CellID->367631257] }, Open ]] }, Open ]] }, Closed]] }, ClosingSaveDialog->False, WindowSize->Automatic, WindowMargins->Automatic, WindowTitle->"CheckboxLegended | Example Notebook", Visible->False, FrontEndVersion->"13.0 for Mac OS X x86 (64-bit) (December 9, 2021)", StyleDefinitions->Notebook[{ Cell[ StyleData[ StyleDefinitions -> FrontEnd`FileName[{"Wolfram"}, "Reference.nb", CharacterEncoding -> "UTF-8"]]], Cell[ StyleData[All, "Working"], Editable -> True, DockedCells -> {}], Cell[ StyleData["Notebook"], Editable -> True, DockedCells -> {}, ScrollingOptions -> {"VerticalScrollRange" -> Automatic}], Cell[ StyleData[ "Section", StyleDefinitions -> StyleData["PrimaryExamplesSection"]], Editable -> True, ShowGroupOpener -> "Inline", WholeCellGroupOpener -> True], Cell[ StyleData["Subsection", StyleDefinitions -> StyleData["ExampleSection"]], Editable -> True, ShowGroupOpener -> "Inline", WholeCellGroupOpener -> True], Cell[ StyleData[ "Subsubsection", StyleDefinitions -> StyleData["ExampleSubsection"]], Editable -> True, ShowGroupOpener -> "Inline", WholeCellGroupOpener -> True], Cell[ StyleData[ "Subsubsubsection", StyleDefinitions -> StyleData["ExampleSubsubsection"]], Editable -> True, ShowGroupOpener -> "Inline", WholeCellGroupOpener -> True], Cell[ StyleData["Text", StyleDefinitions -> StyleData["ExampleText"]], Editable -> True]}, Visible -> False, FrontEndVersion -> "13.0 for Mac OS X x86 (64-bit) (December 9, 2021)", StyleDefinitions -> "PrivateStylesheetFormatting.nb"] ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[629, 23, 234, 8, 70, "Subsection",ExpressionUUID->"15d23540-2785-4f2f-9d95-4d17771b990e", CellID->839598776], Cell[866, 33, 1095, 36, 70, "Text",ExpressionUUID->"46c488bc-8b75-4867-a8b4-de1b8542cc55", CellID->221583938], Cell[CellGroupData[{ Cell[1986, 73, 7697, 195, 70, "Input",ExpressionUUID->"660f2421-95be-46ba-8807-bfb7c79fb6f7", CellID->7099978], Cell[9686, 270, 24474, 407, 70, "Output",ExpressionUUID->"58f669cc-f8e1-4e92-8c45-3bc449d496f9", CellID->194565235] }, Open ]], Cell[34175, 680, 745, 22, 70, "Text",ExpressionUUID->"de0b8c44-7959-4759-8675-7ccfd6cbee7f", CellID->74546359], Cell[CellGroupData[{ Cell[34945, 706, 7403, 187, 70, "Input",ExpressionUUID->"245f072a-03dd-4600-8d8b-f06ff672f45d", CellID->901352281], Cell[42351, 895, 23666, 394, 70, "Output",ExpressionUUID->"bba4a873-6b31-4850-9c92-079ec972fd5e", CellID->42223165] }, Open ]], Cell[CellGroupData[{ Cell[66054, 1294, 144, 4, 70, "ExampleDelimiter",ExpressionUUID->"5f8a1196-c8bb-4edc-b0b9-419015facb11", CellID->743763931], Cell[66201, 1300, 642, 21, 70, "Text",ExpressionUUID->"3ca687b6-7e41-49be-b1f6-4d172330e467", CellID->64257555], Cell[CellGroupData[{ Cell[66868, 1325, 7923, 200, 70, "Input",ExpressionUUID->"fc82ca8d-66e6-422d-a2cb-3da02e650120", CellID->454517111], Cell[74794, 1527, 40462, 669, 70, "Output",ExpressionUUID->"09784b88-7228-4b8c-9a05-bc30a781a75d", CellID->485311199] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[115305, 2202, 145, 4, 70, "ExampleDelimiter",ExpressionUUID->"55c391f8-e16e-49d0-bd65-0da03dbb3436", CellID->2085562777], Cell[115453, 2208, 645, 21, 70, "Text",ExpressionUUID->"a0372d13-d250-486f-b491-2dee47db8342", CellID->516513457], Cell[CellGroupData[{ Cell[116123, 2233, 7751, 196, 70, "Input",ExpressionUUID->"2ba6fbeb-4b97-457e-83c6-58352576b331", CellID->649154331], Cell[123877, 2431, 100562, 1655, 70, "Output",ExpressionUUID->"cef4cb03-d06d-46fd-ade7-b804a1270302", CellID->55198264] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[224488, 4092, 144, 4, 70, "ExampleDelimiter",ExpressionUUID->"aff5ffe7-0a82-461f-87ff-678a03c61761", CellID->825506705], Cell[224635, 4098, 171, 3, 70, "Text",ExpressionUUID->"87b5c240-2aea-4806-8848-0e48a28338a4", CellID->328681284], Cell[CellGroupData[{ Cell[224831, 4105, 9346, 220, 70, "Input",ExpressionUUID->"1a4692f2-9751-49c3-be88-404b9fa7e4c7", CellID->42519551], Cell[234180, 4327, 70061, 1155, 70, "Output",ExpressionUUID->"e6e160ba-cd2e-424b-bf3e-4763556c0f38", CellID->196880143] }, Open ]] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[304302, 5489, 226, 8, 70, "Subsection",ExpressionUUID->"376e2c3c-18b2-4b0b-8d45-11b18a53ae46", CellID->1546831315], Cell[304531, 5499, 167, 3, 70, "Text",ExpressionUUID->"7eda12c0-0c5e-41be-a69e-ac1529f297ac", CellID->43137903], Cell[CellGroupData[{ Cell[304723, 5506, 7916, 202, 70, "Input",ExpressionUUID->"bec3119a-fd46-4c2e-a7c5-9b8b24601079", CellID->731319049], Cell[312642, 5710, 26210, 436, 70, "Output",ExpressionUUID->"51569239-becc-441b-baf3-f1d05b4a46e5", CellID->137699226] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[338901, 6152, 227, 8, 70, "Subsection",ExpressionUUID->"a1eeff0e-8bc3-4825-9cc2-6d38c9d81cc2", CellID->256001558], Cell[339131, 6162, 306, 9, 70, "Text",ExpressionUUID->"85fbadc3-2af0-4332-98ab-5bcd774f29a4", CellID->18593305], Cell[CellGroupData[{ Cell[339462, 6175, 8059, 205, 70, "Input",ExpressionUUID->"36f23faa-86c6-4f34-8b58-d396a2db66f3", CellID->108388382], Cell[347524, 6382, 105075, 1730, 70, "Output",ExpressionUUID->"6fd1298a-d950-4574-b4da-bd00b4b658cf", CellID->36143470] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[452648, 8118, 235, 8, 70, "Subsection",ExpressionUUID->"665d3275-61c0-46ca-9b25-667c0f84551a", CellID->406987949], Cell[452886, 8128, 658, 21, 70, "Text",ExpressionUUID->"875ab978-53d0-4988-90d7-25e26326b286", CellID->686427500], Cell[CellGroupData[{ Cell[453569, 8153, 417, 13, 70, "Input",ExpressionUUID->"a927d524-00c9-4b84-a0b0-ab8e0a004834", CellID->873969999], Cell[453989, 8168, 6402, 129, 70, "Output",ExpressionUUID->"b259d746-0f43-41eb-b37d-4d00157a866d", CellID->462444042] }, Open ]], Cell[460406, 8300, 831, 24, 70, "Text",ExpressionUUID->"7582bd7f-e053-4449-abef-2ef3f9ae7c84", CellID->472227131], Cell[CellGroupData[{ Cell[461262, 8328, 7687, 196, 70, "Input",ExpressionUUID->"d3ed0652-cc4d-4e64-8d70-175f6ccb2df8", CellID->47859977], Cell[468952, 8526, 19404, 325, 70, "Output",ExpressionUUID->"07f017d9-5abe-4910-b4f4-f2bfbc067128", CellID->372917488] }, Open ]], Cell[488371, 8854, 709, 22, 70, "Text",ExpressionUUID->"ecba2c6d-1a60-4ede-871a-cd98a05b1819", CellID->514132483], Cell[CellGroupData[{ Cell[489105, 8880, 8179, 201, 70, "Input",ExpressionUUID->"ac298514-1832-4a76-9f80-f5dcc785d07e", CellID->268625635], Cell[497287, 9083, 36425, 604, 70, "Output",ExpressionUUID->"f7f391f1-c6fb-4c16-8187-8cefab4fecad", CellID->90708673] }, Open ]], Cell[CellGroupData[{ Cell[533749, 9692, 144, 4, 70, "ExampleDelimiter",ExpressionUUID->"d95220c8-ca32-41ba-a4bf-ace9ebbf2e28", CellID->580639382], Cell[533896, 9698, 1330, 40, 70, "Text",ExpressionUUID->"7bd4223f-aaa9-4ed4-92a6-5c05989831a4", CellID->678423497], Cell[CellGroupData[{ Cell[535251, 9742, 7443, 187, 70, "Input",ExpressionUUID->"8701120d-ccad-4b34-b299-9cc7142d453d", CellID->201799084], Cell[542697, 9931, 14531, 245, 70, "Output",ExpressionUUID->"00d627d9-3ac1-4304-ad1f-04333fd1f8e2", CellID->158085537] }, Open ]], Cell[557243, 10179, 662, 21, 70, "Text",ExpressionUUID->"147738ce-6c30-4b48-9f28-24388973fd94", CellID->15958838], Cell[CellGroupData[{ Cell[557930, 10204, 290, 7, 70, "Input",ExpressionUUID->"814b83e5-23d6-4e92-a5aa-e94ef7bf6834", CellID->278887032], Cell[558223, 10213, 146, 4, 70, "Output",ExpressionUUID->"a10cf1e5-5e6c-4529-a81f-a86023604eda", CellID->93213703] }, Open ]], Cell[558384, 10220, 676, 21, 70, "Text",ExpressionUUID->"9e4d60c1-8b3c-4dad-bf91-caa458c8fef4", CellID->3827674], Cell[CellGroupData[{ Cell[559085, 10245, 550, 15, 70, "Input",ExpressionUUID->"1c5c6d65-5c17-485e-87d2-dbe0f6b0ae63", CellID->185872935], Cell[559638, 10262, 19198, 321, 70, "Output",ExpressionUUID->"1d3464a6-6c46-4150-bcc6-7721a370c09c", CellID->451512946] }, Open ]], Cell[578851, 10586, 179, 3, 70, "Text",ExpressionUUID->"a4e31432-fb45-4936-8d70-9afda0dfc7e4", CellID->517198323], Cell[CellGroupData[{ Cell[579055, 10593, 8891, 216, 70, "Input",ExpressionUUID->"d38473c1-e97a-41f4-ad09-32c13d43b8a7", CellID->48475032], Cell[587949, 10811, 15041, 253, 70, "Output",ExpressionUUID->"8c8d0a08-600a-4293-b073-e2d965033956", CellID->349250910] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[603039, 11070, 144, 4, 70, "ExampleDelimiter",ExpressionUUID->"acd77508-7123-42dd-b812-be03bd5d6b10", CellID->640401306], Cell[603186, 11076, 1197, 36, 70, "Text",ExpressionUUID->"50a47ab3-b326-490a-acab-66048e45b07a", CellID->436477814], Cell[CellGroupData[{ Cell[604408, 11116, 8133, 205, 70, "Input",ExpressionUUID->"7ea045e2-cc86-4acd-a4ff-8661889abfbb", CellID->298324428], Cell[612544, 11323, 30675, 509, 70, "Output",ExpressionUUID->"5b40641c-9b09-4838-8c88-6438a89f73a9", CellID->160043902] }, Open ]], Cell[643234, 11835, 184, 3, 70, "Text",ExpressionUUID->"7f814f6e-faef-43c9-b930-f562ef18cbe9", CellID->77702758], Cell[CellGroupData[{ Cell[643443, 11842, 8086, 203, 70, "Input",ExpressionUUID->"4fa66db8-c472-4fd8-b446-02e72c9650c2", CellID->296477336], Cell[651532, 12047, 31167, 517, 70, "Output",ExpressionUUID->"4c8b352a-45da-413f-b2d4-485ff427f79d", CellID->367631257] }, Open ]] }, Open ]] }, Closed]] } ] *) (* End of internal cache information *)