(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 7.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 1984448, 34777] NotebookOptionsPosition[ 1976418, 34528] NotebookOutlinePosition[ 1976808, 34545] CellTagsIndexPosition[ 1976765, 34542] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["Finding Geodesics", "Title", CellChangeTimes->{{3.4503580594360323`*^9, 3.450358085842561*^9}}], Cell["by Stuart Boersma, Tevian Dray, and Stan Wagon", "Subtitle", CellChangeTimes->{{3.4503580893385677`*^9, 3.450358099434619*^9}}], Cell[TextData[{ "This notebook computes the gradient and geodesic paths on the hill \ discussed in the articles \"A Difficult Climb\" by Stuart Boersma (", StyleBox["Math Horizons", FontSlant->"Italic"], ", February 2009) and our comment \"Finding Geodesics\" (", StyleBox["Math Horizons", FontSlant->"Italic"], ", September 2009).\n" }], "Text", CellChangeTimes->{{3.450689075367619*^9, 3.450689095615838*^9}}], Cell[CellGroupData[{ Cell["Initialization Code", "Subsection", CellChangeTimes->{{3.448298017673167*^9, 3.448298018445581*^9}, { 3.4503531965800753`*^9, 3.450353199111117*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"ArcLengthGeodesic", "[", "s_", "]"}], " ", ":=", " ", RowBox[{ RowBox[{"Norm", "[", RowBox[{ SubscriptBox["\[PartialD]", "t"], RowBox[{"Append", "[", RowBox[{"s", ",", RowBox[{"f", "@@", "s"}]}], "]"}]}], "]"}], "/.", " ", RowBox[{"t", "\[Rule]", "0"}]}]}]], "Input", InitializationCell->True, CellChangeTimes->{{3.448303138249812*^9, 3.4483031564096317`*^9}, { 3.44830318855506*^9, 3.4483031917458277`*^9}, 3.450378495609148*^9}], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "GradientFlow", "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"GradientFlow", " ", "[", RowBox[{ RowBox[{"{", RowBox[{"a_", ",", " ", "b_"}], "}"}], " ", ",", "startpt_"}], "]"}], " ", ":=", RowBox[{ RowBox[{"GradientFlow", " ", "[", "startpt", "]"}], "=", " ", "\n", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"x", "[", "t", "]"}], ",", RowBox[{"y", "[", "t", "]"}]}], "}"}], "/.", "\[InvisibleSpace]", RowBox[{"First", "[", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "\[Equal]", RowBox[{"a", " ", RowBox[{"x", "[", "t", "]"}]}]}], ",", RowBox[{ RowBox[{ SuperscriptBox["y", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "\[Equal]", " ", RowBox[{"b", " ", RowBox[{"y", "[", "t", "]"}]}]}], " ", ",", RowBox[{ RowBox[{"x", "[", "0", "]"}], "\[Equal]", RowBox[{"startpt", "[", RowBox[{"[", "1", "]"}], "]"}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", RowBox[{"startpt", "[", RowBox[{"[", "2", "]"}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"x", "[", "t", "]"}], ",", RowBox[{"y", "[", "t", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}], ",", " ", RowBox[{"Method", "\[Rule]", " ", RowBox[{"{", RowBox[{"\"\\"", ",", " ", RowBox[{"\"\\"", "->", RowBox[{ RowBox[{"Norm", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"x", "[", "t", "]"}], ",", RowBox[{"y", "[", "t", "]"}]}], "}"}], "-", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}]}], "]"}], "<", RowBox[{"10", "^", RowBox[{"-", "6"}]}]}]}]}], "}"}]}]}], "]"}], "]"}]}]}]}]}], "Input", InitializationCell->True, CellChangeTimes->{{3.447875468397419*^9, 3.447875470536953*^9}, { 3.447875509467593*^9, 3.447875539918665*^9}, {3.447875592894249*^9, 3.4478757278384027`*^9}, {3.4478758803535748`*^9, 3.4478759917842627`*^9}, {3.447943291811564*^9, 3.447943293521082*^9}, { 3.4479433399858294`*^9, 3.4479433677682734`*^9}, {3.447943403267853*^9, 3.447943404194062*^9}, {3.4479477123268623`*^9, 3.447947797729816*^9}, { 3.447962745354121*^9, 3.447962747970559*^9}, {3.447975800233489*^9, 3.447975803157898*^9}, {3.448017916677937*^9, 3.448017923669492*^9}, { 3.4481319350273237`*^9, 3.4481319403201933`*^9}, {3.44813218106656*^9, 3.4481322351209908`*^9}, {3.448132295842217*^9, 3.448132308323888*^9}, { 3.4481324123061*^9, 3.448132438031576*^9}, {3.448135138796507*^9, 3.4481351743641148`*^9}, {3.4481512315472403`*^9, 3.448151237290763*^9}, { 3.4481957579741697`*^9, 3.448195791502286*^9}, 3.448196227782969*^9}], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", "Geodesic", "]"}], ";"}], "\n", RowBox[{ RowBox[{ RowBox[{"Options", "[", "Geodesic", "]"}], " ", "=", " ", RowBox[{"{", RowBox[{ RowBox[{"WorkingPrecision", "\[Rule]", "MachinePrecision"}], ",", " ", RowBox[{"StartDirection", " ", "\[Rule]", "None"}]}], "}"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Geodesic", "[", RowBox[{ RowBox[{"{", RowBox[{"aa_", ",", "bb_"}], "}"}], ",", "startpt_", ",", "finishpt_", ",", "opts___"}], "]"}], ":=", RowBox[{ RowBox[{"Geodesic", "[", RowBox[{ RowBox[{"{", RowBox[{"aa", ",", "bb"}], "}"}], ",", "startpt", ",", "finishpt", ",", "opts"}], "]"}], "=", RowBox[{"With", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"a", "=", RowBox[{"-", FractionBox["aa", "2"]}]}], ",", RowBox[{"b", "=", RowBox[{"-", FractionBox["bb", "2"]}]}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"stdir", ",", "wp"}], "}"}], " ", "=", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"StartDirection", ",", " ", "WorkingPrecision"}], "}"}], "/.", " ", RowBox[{"{", "opts", "}"}]}], "/.", " ", RowBox[{"Options", "[", "Geodesic", "]"}]}]}], ";", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"x", "[", "t", "]"}], ",", RowBox[{"y", "[", "t", "]"}]}], "}"}], "/.", "\[InvisibleSpace]", RowBox[{"First", "[", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "\[Prime]\[Prime]", MultilineFunction->None], "[", "t", "]"}], "+", FractionBox[ RowBox[{"4", " ", "a", " ", RowBox[{"x", "[", "t", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"a", " ", SuperscriptBox[ RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "2"]}], "+", RowBox[{"b", " ", SuperscriptBox[ RowBox[{ SuperscriptBox["y", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "2"]}]}], ")"}]}], RowBox[{"1", "+", RowBox[{"4", " ", SuperscriptBox["a", "2"], " ", SuperscriptBox[ RowBox[{"x", "[", "t", "]"}], "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["b", "2"], " ", SuperscriptBox[ RowBox[{"y", "[", "t", "]"}], "2"]}]}]]}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["y", "\[Prime]\[Prime]", MultilineFunction->None], "[", "t", "]"}], "+", FractionBox[ RowBox[{"4", " ", "b", " ", RowBox[{"y", "[", "t", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"a", " ", SuperscriptBox[ RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "2"]}], "+", RowBox[{"b", " ", SuperscriptBox[ RowBox[{ SuperscriptBox["y", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "2"]}]}], ")"}]}], RowBox[{"1", "+", RowBox[{"4", " ", SuperscriptBox["a", "2"], " ", SuperscriptBox[ RowBox[{"x", "[", "t", "]"}], "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["b", "2"], " ", SuperscriptBox[ RowBox[{"y", "[", "t", "]"}], "2"]}]}]]}], "\[Equal]", "0"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"x", "[", "0", "]"}], "\[Equal]", RowBox[{ "startpt", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", RowBox[{ "startpt", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ",", RowBox[{ RowBox[{"x", "[", "1", "]"}], "\[Equal]", RowBox[{ "finishpt", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], ",", RowBox[{ RowBox[{"y", "[", "1", "]"}], "\[Equal]", RowBox[{ "finishpt", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"x", "[", "t", "]"}], ",", RowBox[{"y", "[", "t", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"Method", "\[Rule]", RowBox[{"If", "[", RowBox[{ RowBox[{"stdir", "===", "None"}], ",", " ", "Automatic", ",", " ", RowBox[{"{", RowBox[{"\"\\"", ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"x", "[", "0", "]"}], "\[Equal]", RowBox[{ "startpt", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], ",", RowBox[{ RowBox[{"y", "[", "0", "]"}], "\[Equal]", RowBox[{ "startpt", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ",", RowBox[{ RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], "[", "0", "]"}], "\[Equal]", RowBox[{ "stdir", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], ",", RowBox[{ RowBox[{ SuperscriptBox["y", "\[Prime]", MultilineFunction->None], "[", "0", "]"}], "\[Equal]", RowBox[{ "stdir", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}]}], "}"}]}]}], "}"}]}], "]"}]}], ",", RowBox[{"WorkingPrecision", "\[Rule]", "wp"}]}], "]"}], "]"}]}]}]}], "]"}]}]}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"ErrorStartFinish", "[", RowBox[{"sol_", ",", " ", "startpt_", ",", " ", "finishpt_"}], "]"}], " ", ":=", RowBox[{ RowBox[{"Norm", "[", RowBox[{"(", RowBox[{ RowBox[{"startpt", "-", " ", "sol"}], "/.", " ", RowBox[{"t", "\[Rule]", "0"}]}], ")"}], "]"}], "+", RowBox[{"Norm", "[", RowBox[{"(", RowBox[{ RowBox[{"finishpt", "-", " ", "sol"}], "/.", " ", RowBox[{"t", "\[Rule]", "1"}]}], ")"}], "]"}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"ResidualPlots", "[", RowBox[{"sol_", ",", " ", "opts___"}], "]"}], ":=", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"a", "=", "30"}], ",", " ", RowBox[{"b", "=", " ", "10"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"Log10", "[", RowBox[{"Abs", "[", RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "\[Prime]\[Prime]", MultilineFunction->None], "[", "t", "]"}], "+", FractionBox[ RowBox[{"4", " ", "a", " ", RowBox[{"x", "[", "t", "]"}], RowBox[{"(", RowBox[{ RowBox[{"a", " ", SuperscriptBox[ RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "2"]}], "+", RowBox[{"b", " ", SuperscriptBox[ RowBox[{ SuperscriptBox["y", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "2"]}]}], ")"}]}], RowBox[{"1", "+", RowBox[{"4", " ", SuperscriptBox["a", "2"], " ", SuperscriptBox[ RowBox[{"x", "[", "t", "]"}], "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["b", "2"], " ", SuperscriptBox[ RowBox[{"y", "[", "t", "]"}], "2"]}]}]]}], ",", RowBox[{ RowBox[{ SuperscriptBox["y", "\[Prime]\[Prime]", MultilineFunction->None], "[", "t", "]"}], "+", FractionBox[ RowBox[{"4", " ", "b", " ", RowBox[{"y", "[", "t", "]"}], RowBox[{"(", RowBox[{ RowBox[{"a", " ", SuperscriptBox[ RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "2"]}], "+", RowBox[{"b", " ", SuperscriptBox[ RowBox[{ SuperscriptBox["y", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "2"]}]}], ")"}]}], RowBox[{"1", "+", RowBox[{"4", " ", SuperscriptBox["a", "2"], " ", SuperscriptBox[ RowBox[{"x", "[", "t", "]"}], "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["b", "2"], " ", SuperscriptBox[ RowBox[{"y", "[", "t", "]"}], "2"]}]}]]}]}], "}"}], "]"}], "]"}], "/.", RowBox[{"{", " ", RowBox[{ RowBox[{ RowBox[{"x", "[", "t", "]"}], " ", "\[Rule]", " ", RowBox[{"sol", "[", RowBox[{"[", "1", "]"}], "]"}]}], ",", " ", RowBox[{ RowBox[{"y", "[", "t", "]"}], " ", "\[Rule]", " ", RowBox[{"sol", "[", RowBox[{"[", "2", "]"}], "]"}]}], ",", " ", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"x", "'"}], "[", "t", "]"}], " ", "\[Rule]", RowBox[{"D", "[", " ", RowBox[{ RowBox[{"sol", "[", RowBox[{"[", "1", "]"}], "]"}], ",", "t"}], "]"}]}], ",", " ", RowBox[{ RowBox[{ RowBox[{"y", "'"}], "[", "t", "]"}], " ", "\[Rule]", RowBox[{"D", "[", " ", RowBox[{ RowBox[{"sol", "[", RowBox[{"[", "2", "]"}], "]"}], ",", "t"}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"x", "''"}], "[", "t", "]"}], " ", "\[Rule]", RowBox[{"D", "[", " ", RowBox[{ RowBox[{"sol", "[", RowBox[{"[", "1", "]"}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "2"}], "}"}]}], "]"}]}], ",", " ", RowBox[{ RowBox[{ RowBox[{"y", "''"}], "[", "t", "]"}], " ", "\[Rule]", RowBox[{"D", "[", " ", RowBox[{ RowBox[{"sol", "[", RowBox[{"[", "2", "]"}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "2"}], "}"}]}], "]"}]}]}], "}"}]}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}], ",", " ", "opts", ",", RowBox[{"Frame", "\[Rule]", "True"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", " ", RowBox[{"Axes", "\[Rule]", "False"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Thickness", "[", "0.005", "]"}], ",", " ", "Red"}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"Thickness", "[", "0.002", "]"}], ",", " ", "Black"}], "}"}]}], "}"}]}], ",", " ", RowBox[{"FrameTicks", "\[Rule]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"#", ",", " ", RowBox[{"\"\<10\>\"", "^", RowBox[{"ToString", "@", "#"}]}]}], "}"}], "&"}], "/@", " ", RowBox[{"Range", "[", RowBox[{ RowBox[{"-", "1"}], ",", RowBox[{"-", "16"}], ",", RowBox[{"-", "2"}]}], "]"}]}], ",", RowBox[{"{", "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{"Automatic", ",", RowBox[{"{", "}"}]}], "}"}]}], "}"}]}]}], "]"}]}], "]"}]}]}], "Input", InitializationCell->True, CellChangeTimes->{{3.447875194006975*^9, 3.447875251673212*^9}, { 3.447976044583763*^9, 3.447976056531805*^9}, {3.448017844921583*^9, 3.448017845221128*^9}, {3.4481205015134363`*^9, 3.4481205544156446`*^9}, { 3.448120813563354*^9, 3.448120820870429*^9}, {3.448120924688333*^9, 3.448120950572792*^9}, {3.4481220914572277`*^9, 3.448122139104362*^9}, { 3.448123037169612*^9, 3.448123049044405*^9}, {3.4481963932896976`*^9, 3.448196430004816*^9}, {3.448196557178117*^9, 3.4481965594662027`*^9}, { 3.4482200054230127`*^9, 3.44822015055267*^9}, {3.44822018135188*^9, 3.448220186032139*^9}, 3.448227493153976*^9, 3.448227655717309*^9, { 3.4482980451805267`*^9, 3.4482980457302523`*^9}}] }, Closed]], Cell[CellGroupData[{ Cell["Finding the Geodesic", "Section", CellChangeTimes->{{3.4503483915207863`*^9, 3.4503483947044888`*^9}}], Cell["\<\ Here is the function whose graph is the surface we focus on. We will use \ miles as the units on all three axes.\ \>", "Text", CellChangeTimes->{{3.44819508564207*^9, 3.448195121801866*^9}, 3.448198283130872*^9, {3.448198326618937*^9, 3.448198351370708*^9}, { 3.448925176354661*^9, 3.4489252036523333`*^9}, {3.4503378225582*^9, 3.450337834778035*^9}, {3.450358113210895*^9, 3.450358122754736*^9}}], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", RowBox[{"5000", "-", RowBox[{"30", " ", SuperscriptBox["x", "2"]}], "-", RowBox[{"10", " ", SuperscriptBox["y", "2"]}]}]}], ";"}]], "Input", CellChangeTimes->{{3.448131830194261*^9, 3.4481318342093*^9}, { 3.448131871650178*^9, 3.4481319292017813`*^9}, {3.448132012891427*^9, 3.4481320206433897`*^9}, {3.448132282723959*^9, 3.4481322912995768`*^9}, { 3.448132553292171*^9, 3.448132557178581*^9}, {3.448134852824107*^9, 3.448134860186523*^9}, {3.4481351177552423`*^9, 3.448135121789071*^9}, { 3.4481502194232187`*^9, 3.448150242024331*^9}, {3.4481502755916367`*^9, 3.448150301532508*^9}, {3.448150337096808*^9, 3.448150337245541*^9}, { 3.448150370053829*^9, 3.448150370540778*^9}, {3.448150405879724*^9, 3.448150421668829*^9}, {3.4481505091800213`*^9, 3.44815052918125*^9}, { 3.4481512154958143`*^9, 3.448151218791802*^9}, 3.4481877671302147`*^9, { 3.4481951354943*^9, 3.4481951378487253`*^9}, {3.4481951717207937`*^9, 3.448195171950469*^9}, {3.448925205957717*^9, 3.448925209663413*^9}}], Cell["Here is the gradient.", "Text", CellChangeTimes->{{3.4489252140950623`*^9, 3.448925217212098*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ SubscriptBox["\[PartialD]", RowBox[{"{", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}], "}"}]], RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}]}]], "Input", CellChangeTimes->{{3.448131830194261*^9, 3.4481318342093*^9}, { 3.448131871650178*^9, 3.4481319292017813`*^9}, {3.448132012891427*^9, 3.4481320206433897`*^9}, {3.448132282723959*^9, 3.4481322912995768`*^9}, { 3.448132553292171*^9, 3.448132557178581*^9}, {3.448134852824107*^9, 3.448134860186523*^9}, {3.4481351177552423`*^9, 3.448135121789071*^9}, { 3.4481502194232187`*^9, 3.448150242024331*^9}, {3.4481502755916367`*^9, 3.448150301532508*^9}, {3.448150337096808*^9, 3.448150337245541*^9}, { 3.448150370053829*^9, 3.448150370540778*^9}, {3.448150405879724*^9, 3.448150421668829*^9}, {3.4481505091800213`*^9, 3.44815052918125*^9}, { 3.4481512154958143`*^9, 3.448151218791802*^9}, 3.4481877671302147`*^9, { 3.4481951354943*^9, 3.4481951378487253`*^9}, {3.4481951717207937`*^9, 3.448195171950469*^9}, 3.448925205957717*^9}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "60"}], " ", "x"}], ",", RowBox[{ RowBox[{"-", "20"}], " ", "y"}]}], "}"}]], "Output", CellChangeTimes->{ 3.448187769051381*^9, {3.448195125326771*^9, 3.448195139104464*^9}, { 3.448195172485694*^9, 3.4481951915725527`*^9}, 3.448198353038884*^9, 3.44821992584258*^9, 3.448233699756377*^9, 3.44827774611388*^9, 3.4482913911404953`*^9, 3.4482980575998297`*^9, 3.448375594480233*^9, 3.448378155215166*^9, 3.4483782153667603`*^9, 3.448392159095311*^9, 3.448469956350965*^9, {3.4489252159012203`*^9, 3.4489252190168333`*^9}, 3.450337837146779*^9, 3.450353256699312*^9, 3.45042996339052*^9, 3.450656418143951*^9, 3.450656478971189*^9}] }, Open ]], Cell[TextData[{ "The overall slope from the start point ", Cell[BoxData[ FormBox[ RowBox[{"(", RowBox[{"1", ",", "4"}], ")"}], TraditionalForm]]], " to the top is about 89\[Degree]" }], "Text", CellChangeTimes->{{3.448195320994096*^9, 3.448195353065732*^9}, { 3.4481961837734632`*^9, 3.44819618381837*^9}, {3.448925235309052*^9, 3.448925260348592*^9}, {3.450337840490307*^9, 3.450337844317774*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"ArcTan", "[", FractionBox[ RowBox[{" ", RowBox[{"(", RowBox[{ RowBox[{"f", "[", RowBox[{"0", ",", "0"}], "]"}], "-", RowBox[{"f", "[", RowBox[{"1", ",", "4"}], "]"}]}], ")"}]}], RowBox[{ SqrtBox["17."], " "}]], "]"}], " ", "/", "Degree"}]], "Input", CellChangeTimes->{3.448195270646789*^9}], Cell[BoxData["88.75684484772535`"], "Output", CellChangeTimes->{ 3.448195271190866*^9, 3.448195330458499*^9, 3.448195377582409*^9, 3.4481961011580973`*^9, {3.448196155262877*^9, 3.448196179543252*^9}, 3.448198429537732*^9, 3.448219938651927*^9, 3.448298066688505*^9, 3.448925261684658*^9, 3.4503378458779087`*^9, 3.450353257840591*^9, 3.45042996447651*^9, 3.450656418466807*^9, 3.4506564801392813`*^9}] }, Open ]], Cell["\<\ Here is a contour plot, showing the start and end of the hike.\ \>", "Text", CellChangeTimes->{{3.4489252825342493`*^9, 3.4489252926441793`*^9}, { 3.450337850356758*^9, 3.450337851498066*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", RowBox[{"-", "y"}]}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", RowBox[{"Contours", "\[Rule]", "30"}], ",", RowBox[{"ContourShading", "\[Rule]", "False"}], ",", RowBox[{"ContourStyle", "\[Rule]", RowBox[{"Thickness", "[", "0.004", "]"}]}], ",", RowBox[{"Epilog", "\[Rule]", RowBox[{"{", RowBox[{"Red", ",", RowBox[{"PointSize", "[", "Large", "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}], ",", RowBox[{"-", RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}]}]}], "}"}], "]"}]}], "}"}]}], ",", " ", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", " ", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"#", ",", " ", RowBox[{"-", "#"}]}], "}"}], " ", "&"}], " ", "/@", " ", RowBox[{"Range", "[", RowBox[{ RowBox[{"-", "4"}], ",", "4"}], "]"}]}], ",", " ", RowBox[{"{", "}"}], ",", RowBox[{"{", "}"}]}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.448195400360304*^9, 3.448195433846126*^9}, { 3.44819546798109*^9, 3.4481954779591513`*^9}, {3.450337854239656*^9, 3.4503378602795677`*^9}, {3.4504306233720417`*^9, 3.4504306813428*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJyUnQeYVEUTrneX3WXzzs5gxISiYsCAioHVaQMImBAjggqYURQTigJiQMUs ZjGgYkRUDIAgnmOCRRElCCJiAAmCKDmHO07P24f+xrn/vTw8HL6pjtWpurq6 ulHXa9pfUpCXl7fNQXl5/37tnwYh3zYDG6f+1jjcOP1DhcMjus9K/S12uHU6 fL7DH6bpqwPw8DSe77D91tWCx1p6Ejzaxnf4JJu+AX9s83d4b1s+h9va8juc +Sp29dQv9QVTXzD1BVNfMPX1+VhXC6a+YOoLpr5g6gumvmDqK+2mOKteYP1S XzD1BVNfMPX1+0ldLZj6gqkvmPqCqS+Y+oKpr/RLxVntpvUC65f6gqkvmPr6 46CuFkx9wdQXTH3B1BdMfcHUV8ad4qx+qe2m9QLrl/qCqa8/zutqwdQXTH3B 1BdMfcHUF0x9ZV5RnDXutF9qu2m9wPqlvv48VlcLpr5g6gumvmDqC6a+YOor 86birHlFx532S203rRdYv9QXTH3B1BdMfcHUF0x9wdRX1gXFWfOmzis67rRf artpvcD69dejulp/Paqr9dejulp/Paqr9dejulp/PXLrnuKsdUHnTZ1XdNxp v9R203qB9Ut9wdQXTH3B1BdMfWVdV5y17um6oPOmzis67rRfartpvcD6pb5g 6gumvmDqK3KL4qx1Xdc9XRd03tR5Rced9kttN60XWL/UF0x9wdRX5DLFWXKL ruu67um6oPOmzis67rRfartpvcD6pb5g6ityp+IsuUzlFl3Xdd3TdUHnTZ1X dNxpv9R203qB9Ut9Ra5WnCV3qlymcouu67ru6bqg86bOKzrutF9qu2m9wPql vrn2Ef56lCV3ZslpKsfoOq/roKwLWfOozjM6DrWfajtqPfVr6xMP+VJ/cKt0 /GUBeGg6v+lZmHhfWJyEDoZ+sk3P0fe0XyP5G81/VprR1S4/MOmDSR9M/HSw EaUuPpj4YOKDib8l/aeeiw8mPpj4YOLvnq7PxoD4YOKDiQ8mPl/ig4mvdL6k p+H/7+1YV6vpEE+/tJ+m57d7Xa3mS7n4HUx6Wi/ojB8w6YP1S/wmlp8ufzD5 gIkHJr7VnRS6eoKJDyY+mPg9bH9y8cHEBxMfTPxfbH928cHEBxMfrOOMcQgm fW1HbQelM05ztRt0ftevjnPK5e9z+J19QFzk5Ox6EZ/xT3ww8cGEZ7wTHkx4 MOEZ34QHEx5MeMYz4cGEBxOediG8jm+V83V86/5Kx7OOSzDtkmte53fy5Xdd t/R3Hb+ML/IFEx5MeMYT4cGEBxOe8UN4MOHBhGe8EB5MeB1P1JP4fj+sqwUT X/s9OM2WNomQ73fp8OOS8rsL96KlB8enf/g9IDwYun4Jp1/o+6bL85f7Hazl ILyUy33pH8hBYOQg+gVyDVj3E1pfMOFJn3rPTLfPluA0i5NgwpM/4Telx+cK Fx6sfOFLPaCDoZMOdDB0ygFdxxP8IHy9NB9WuvBg6Nem++86Fx/+ER464fdK t2eBoyvWdqQdiG/7fYHrn2DoV9r8HH/A0Hex/cnRwbQHGL6B4ZPGZ5wRn/4K P8CkB6Y8v9r+4fgLpp8xTvnqOIQ/fnmifQPhfLmoQuTjChff9udyx08w9QST Xrq4qX0H6YFJ76f0D0UuPTDpKZ3xQnww4cGE1/ECJjxY13Ed19qO+jtf8tF5 lnbRfkF7gxkPYPo//GQfBT/BpPt4Op8SN/+BSQ9MeuzDSA9Mena9qnLpgUnP xw2y5l/tl35/RV4qkP4U6Ul1fDI/Ml6Yb8CMD8nf9TfkHbDKO9qupEu7kx90 MHQdr9TXT7dKxmOVqy/YX09KZL0tkX5aEi5I00dk6PUctvLWBlcf5ifaH5yr 3XRd03lE1wntz9oeVj4pcv0LTHgw4a08Vu7CgwkPJrytdqnjH+0NRp6iXel/ /nxXEEKn/0EH32MzCuA36et+WOVgMP2FL3Knyq1g7Ye55Ggw4Yin+1iViwmn +eh8DobO/AwdDF3nGzB05g9/v1pl4C/9V+UWwqM3gv8/p/OPGZXj6ZfKb/qR ypWsB6pXIj3GA+mlS7uV3qeNLZesgzWun7A+6L5U5Xjah3qCR9n03LggfcrD eFb5jniMb/InPHzQfMkH/pIedOqvejB/nxsLdT9APSkn6ZM/2N9nNnD5wGd/ PkyEfvtG+jzC++1aIfq+CkdHXoEOhs56BR0MnfUKOhi67n/hq+6r/fUz2mfr vlX3tyo36z4ceZ74YOjI69DB0JE/oIOhI09AB0On/0AHS3sbaU/X3xiXzPtg 5n0w8zKYdY9xw74cOusEWPfVfCmHfikPmPKAKQ+Y8rD+o1eATvnAlA9M+cDM J7n4pOXUL+UFU16wLzeUuPUSTPkJT/nBlB9M+cGUP1e7Kl+13Pql/GDK3ziz 3lNe6JQXTHnBlBdMeXP1O2135auWU7+UF/mD8kKnvGDKC6a8YMqr5dFzBD0X AFMevrn00KpXVj2x6nVznYPouYaeU6jeXPXgqtdWPXU6+pCEkztoLz130XMU PRdRPb3q3VWPrudQei6k5zx6bqPnMGDahf2JnhvoOYDq9VVPT/l0XtJxruNI +ylYv5QHTHnAlAdMfwFTPp0ndd7Rca3jBsx8xn5Ey6lfygumvGDKm2ud0Xld 50mdh3Sc+3J+eRYftZz6pbxgyptrHdR1R+dxnSd1HtJ2Vb5pufRL+XKte7qO 6Dyt+15//Upk9TNtR+WTlov5hK/kp3K6m9fAUh6HkROZN6CrHhyMfOPvy6sk /2j9Zn/np1cSHp3+z+TgqnS9C1149nuEZz0Fs15Rf/Rt0BUTjn2K6lk1HPMT v+uX+Y/w6Negg6Gjb4M/jH/CQyc8+1n4Y/tJqfH3meWuHoQnPTDpsf8lPvuf s2z6Nv94zMUnvPKN+Irp3+wLlM8aHnlb+qfLn/DS/4z0T+PLW3HpL7qvjvRd jGP2LdD989VIX8M4h07/g67ylOppVE+vepZc41b1NKpXUb6QPv2X+jKv+P0v Ou+jP4gewvE3l97Z51/UfjJfhfLN+Tv11fMr9H1g6ISHTjrMZ6RPf0N/aeeX shC5DEz9wH7/LJH5McLMV6TPfEb6im34PDf/gWl/ykH5iQcmHvUlXzDj2pdL i8ReIsKqP2M/7Z+fROW15St1/CV/ymnTL3PlApMe/ChOp/OH0y+D0c9tn87g 58x8WOn6B/0VzHzBuKcerFNq16HzkqcXWhI3B9l8HaZc1D//X9gvW29GfZlP vfPGFJb+KPdTov0/v9MfqAfyCPFt+IosvQHxmecIb9Mpztq3E555jvD+vYpo n0x4/5yjgdxLiPaphM+l5yS+zCehyuG+3UQDsSuO6OTn2000ELvcSK4nvG83 0UDsWiO5mvD+PNpA7EIjuZbw9BPq582TW93Loh39fhHd9/HpFVl6In6nvfmd 9oZO+0L39QzRvRLovr6rQuTHqtA//4js2olPe4H99o3spKH7+5rIrhi6v4+I 7HCh+/q1yG4Vum9/WZE1buA/fIT/ykcw6RKeL3S+/A7/+R3+Q4f/0OE/dNZn 5Gv/Hkwkb4NpD9KjPcC0B+nTHtBpD+i0B3TaAzrtAZ32EH5m7aug67xEe+j9 KO23qs/T+2Cq39N7Yarn03tUqlfTexrQ4a/qLdTuX/UGaiev+3S1K9d9sdph 6z5V78+pHlvvY+m4V/2j9lO9f6b6SL2HpnpJvefC7/BT9T6Eh396r0D1GmqH r3oEtVtX/abev/PPFarkHKA4yw5b7Sj1vprqR/WeD3Tdh6rdoJ6bqJ2gnpvk sgtUO79cdqa+vBHZhYLVLkLtINXOUe0YaS/Vt0KnP6v+U+1e1a5V7VbVLlXt MtXuUu0qwcipyIF67ql2lpRX74ep/lbvi6k+V+chvT+m+l29F6Z24HqvSPW9 eg9H9b/QqS+Y/qT341TuU/tIlRtUf6zrmt4vU32y3jdT/TJ05FX0O8g7YNoR TL1Ij3RUT83v8FPvManeVe/9qN5T78mo3lHv56n+WO97qRym+nC936b6cb3v pvpyvf+m+nPo8B99GfwHw38w/Fe+6rmA3otTPbzeI1O9t967Ur2z3lNSva/e H1T9uN5HU7lX9f16/071/3ofT88D9H6eng/ofT30B/AfTPugT6Q9tB/ruYze 39PzBr3Hp+cOeu9N9f56T0z17nq/Uc/p9b6c7jP0/EDvB+r5ht4X1PMOvT+Y 69zVvy9QJfcDqrLmYfiv5yd6n1DPU/R+oZ6v6D1DPWfRe3l6zqH3Lf19gdOL OH6rXQLpwm89v4EOv/U8Bzr81nNt6PDbt3+qqwXDf9WHE1/XQdpDzyEJT3vo +RF02kPPk6DDVz1fgg5fKW86WKRPdfznq3ZpyF1g0iO8b09fESK/WlzgMPp1 0vHtpmrEzqJC7u9Fdq7wF7reIyA92kXvZagdMPKctiMYfqEvJD5f+KHloN35 HX02GH0tmPMfMOWiPpRL8818Ra8R6Rn190x97D56STzkXI3wqmdVu0Ffjo2H Uh437sD+uI6H6F/Jn36p9ZTyuvDgNLl5VH47T8TEzjLm+g2Y+oBpZzD1AZM+ +hb08LacpS48dMJzfuDfGyhw8dGXE1/Dcx4CZvygx96c/n2T6/8ani90j08p PqKHh49g2kntQPVcUM8NdfzpvS/4TP+AfrXN351v0D/AueqBPA5mfFEu5lnq VZiOv9mNP42PfAlW+3PmZcpl5+FCNx41PuOZ8jBvE5/zX8Iz3uGXjotcemba i3bJjJ9Q5ns37sDwXca/0Xsp2i6kK+XJug+bK5zaFct8ofNAKPUTP0HR+uPH w69OtA6AfT80NVl88c8vqrLstn272SqZPyL7TOQSzs+YL9DfQid95gcwcguY 8Q9GboFvahei58qMB9+evlDk+ULj20uUO3kIDF31OJwHUl/6N5jw/nl2ucNq n+TJ2/8x74PpH2C+us7Qvnzhk9rxw0/NV9czHVfQJX393ahdP+ePpAO/wPqV 8rhvrnC+fBYPPbvFVP043yReel7omeHrlOhcena6PfLc/IB8w/wAPRM/zMR3 fGQ8K5+YBwhHvHRyDRMyPrLlQv++d5XcP8wPffuAPLf+gskXvqjcD19Ix7fT rHL8QE4nHOfb5AemPQgPf6HDJ/KlHUZafrj2hW/SH905N+sd5UPeID8br1L6 f4XjD3T//lKl3B+rdOsQ9aIcufp1rn7pyWVb9Uv6CeUCE5506X/EA/v3EQtd uVi//fmp0MUH+/fcovtizG/sJ+mXrKd675l+rPfG9d623pNen6bPzaxv5U5O oz3JF0x4ykd4sG/3XGoIb+sb3d9k/oVf2DvAL7DaEdN/dX+n+wy1c9T7Ld66 m+oPlJP2p17/vU5Hcn86WOOarH2A5zcntZ54djD9ahxWuULvoTD+wMwftKPa vek9Wr3HxLxCf3js38+EyK4POxX6KXIcGLo3XhrXZO3rPH6n6qv7AeG3m1do f/JhHqJ+hL8hHexPh39PZ/yPkyv1/jrp0T7+/euqrH0e/Qfs2aFMiLnyI5d5 60g8ohOe+lNP+jftAqZ/wkf2EfRjkW9dv6Gcvt/DcpFfi2W/XezmQRu+2M3H YNJXzPpG+1Jf+Am/6KfaH8hH7zETjnqDVX+v57SMG9L11zvum7v1z+i+kn7s 6WWy7vNVhvBV9Un+fFMZXm77pzu3ZL2gnbx1dSu9F/yhXzM/6ZdxRD/gd+Yv 6GCVz3Re0nUROhg64x6sdnTMF1IeR2ccoF8gHOX4f81X91WMe0/ObB5XecaV T+OB/XWiyufXVufwtj4FDrN/YhzY+XqD+PMpV3nV9UeVq6WcWf5vSAd5ON2t Giay5BzkbejIecQjPZHPXTjSoX+SDunyJTzyJOHgu9cPp7j4DlMOTYd8wdSP 8UQ+Gbqvr5zi4rnywW+vX05J6L4ky0+ElD9rH0K+vr1ukewPovvpKq+rfC7l C3XfRPl8PVila0fGE+mrfw4w5bX9s9it82DfPrdI7HOLnH5H/QSpfo7f4SPj JF2vEVUOs36qvKD7J+Qh6os8AEYe0HMV3Vchh6rdLfMN64rKS6zjYG+f2C9b HvLXx0jPTjtb/clyh1X+0/p58lDjGv/ebip/1h/4ZstRLnzMd+3L/Ez7gvV3 8kEfyvwHpp7sD3Wf5e+HIv8t9De7Plb7/aN51L7Mg2D6OfKJ778lkmdYp5nX 2T9A9/0LR+eHvj+iAtcvbbvUcxh9mu+vsdztj9BfgdFH+fvdaH5DnwZd+Qm/ ZR7Wec9h5T/jgHg6v2g69Ev/fKM69PYJqXEMhs/bpQmvZdq/0mE7zvL8/d7A +m7c0R98fyvFhnnuBzu+Az0XAfv7w3IX3pY7+5yGfsj48fR7KTrzCNhbj1Py /X+u3z0jPRT89feJ1a494J+vz43OJekP0OkPYPoDmPnd18fUk/sp9ZzcRf/0 7eTK3Hk5/IWfVu5e7uqhcrSnl0/xh3FMftSXeGDo1A86mPVBx3UuPR3l+2+/ W5Gfdcaf7/eqgZy/5bt5Fj0LdM/+s19NlhxJ/6J/eLhxdJ4FnfWK/Cgn+YGh 63mwZ8/VL/t8F0z5mPcsH0ocZt4DI+eCvf6ayodzbDByAuGZF8F6Ds3X51v0 pXxgygemfGDGBdj381TlygOmPH5+CYeVT1ou/VI+MOUD+370Slz5wJQP7J/j lcg5QHa7KZ+0XPqlfGDKB6Z8YMoHpnx+fgmHtR9pu2k59Itc80g64Fo370Gn PGDK4/M9YbQd1K8FmPrquZWGV79P6mdN/XjpPXm9F+PbPZRk2bn8/9p5gOG/ jgttZ7B+SR9M+uIP0mHy03Gn/Vz7FZh0wPqlPGDK46efMLnmIZ0HdNwxn9n5 Nqq35gvWr+8HrNyVJ9c8qPOQjnsdZ9oOygcth34pT655T+cZHdfwh3VL+4G2 g/JBy9HYlztN13R/n2nXm46FIfsuziPY5yHfIWcQzpe3C116afmoY3R+4etf M/cSttKfqX8W9QOt8VWfwrdLuqKf2XGxlR7Fxmvg6MjHxMvQDfQ90vSi8GCL A/Asm29IOaCn5YEhlS6+rUelnfdT8pSeT1Bf+Amf0+kPY785J0CvYuevxe6e SaY9XTkol8gfoexzRY7Pdxj5in2v977VkMg/qvpV9fV/kfzl+ZFbEvm7Iz7y FfmBoav/Mfq9yJdG+JG1r59l+7/c43bjL4TOPMH+BrqMT0cnPHon6DJ+HZ3w 2HlBR+8OlvHs6MTHjhu6jHdHJzz7UOhqpwSd8Ln4kouP/M73f/0O//z0Shz2 /QxXOf5Bh79g349wleMvdN9vcLQOQ/f3I1WO39BpDzB0wsNv6J4eOoV9v7xV jt/QaQ+w72e3KmtfrP3aP6+qytlPc/XrXHzP1U787qeX+3fah9/98VLi2ge6 Pz4i+R26f14XyTXQ/fFU4vgPnfYB++OpxPEfOu0D9sdTieO/8Ndh336uJOe8 kGseydXPc42LXHzWdiA8v/P9X7/TPvwOhk57Qae9oNM+0Gk/MHTC0z7QaT8w dMLTPtBpPzB0wtM+wn+H/fO3aF6n3rnmdfYRueYhnacIr+MArPs36Lm+hKc9 +J32gA6/oYN1vwcd/oHhr9KJD/+EPw5D1/1iLjtssO4Pc9kVq98nPVeh/6jd r9LVbxN09cukfpPVTkDtQCmfYt3vqn2M+vFSv/26H9Z3GBTrfln9lqvfAvUb pnS1i4cO1v22+ulSrPtx9auVyy4VOvFpL+jwV/1s6b0IysF4V7uR/yVXgKHn WtfAqi+AnmscK534/M5Xf2e8K9Z9OHT4A4Z/Sic+41v45TB0fe9C5d5ccjL8 VLkslxyXS04AQ/9f61KudSzXPKrzLOHZR7N/ztUOYP2STq7f6f/8TnuCoROe 9oNO+4KhE572k/ZxGLrua3SfkmtfQ/upHJ1L7s4l1+WSA3PJEbnkDtoPOu0L hq7jBjrtqe2i7QDWL+nm+p324XfaDwyd8LSP8N9h3x6gPOe+Mdc+k/bRfU2u fVAuOTuXXJ5LrsslB+aSU3LJNbnmNR0nOi5yjaNc7ZCr3fid7//6nfaS9nAY uuojdR+j+5Zc+5xccnIuuZrzBfRCug7kmjdyzTO5+mmufp2LD7n4pnZYlH+W LX+WXbPoa/3zurwGIXYVxIdux1G5o3P+gl0t4cCsG+gPoVO+J238JOmBoWOf QvnRv6vdsNrVqJ0M9fD8AC6J+/6uI3sHu98dk9FLP+hwmMHufJzzaPSm6k+S 9OBzBptz0vFfy9g5lblza/TZhLf1id4VZf31/XYXuvT2tum58qGPtv09sruE H8jr3W37ZGH1f6j+DZHHaV/Fnn48jJtb0hnPdPZKzMt8KSfzLZj5mngazuNX vxpf/91Pz5EjP3ika9OryDp3Jh9fHyH5buV3j/jMR+SX/nlEqfhlLM4KT/q+ PiPKn/xIj/hgn28FLn/skvz6FmTlR/qEJ30w6ascrPsO/1wx8rtDeF9Ojcu5 YOQ3hvC+n5gaOSeMi1wUd+lTH9//XISpj38OGPlJIX/fL0qNnHfHZV2PykP+ vn+7GvG7EpNzv8gvCPn7fkBq5Bwwyp/8fH95kR0OdPWL4fvBiPo144Bw9HPC 5RpHlIv40AlPOH9cVjm6r9etln4d+a3MFY/x5edf4sL5eslqGd8V4v+0Svz9 RXpJ4vt6smoZvxXiH7VK9JEV4g+1yq232EMx79p6VMo+vlr2kdXi77RK/DJV yb60WvYpkf9Mwvt+b6pk31MtcnK1jMcK8Y9aJf4Iy8UvTpXI5dVyvlAt4y3y m+PXr9qlnxlXjo7cpOmTnu+3ukr86pbknHdzzfP+OpY9zzPu9fzjf/VDzZ/8 /HFZ4n4H8yU+5dD0iefXi3OU/KzzEU2P+PR/1cdDR97DfzbyG5hzVvKj/5Mf /Rs6/Rs6/RHs620iv2O6jyY8/U3TI76/XpS4/gymPxOf/qbpk54//zs5IssO Q9Mjvn9PpMRhPc/RdV3lBPXjrOcHOq+B6T+avvoNZh71x0lkn6b9RtNXP7jE 98sd2bURn3qA0ZMrnXTQs0L3/UdH50nQ6V9g3390ZNcEnf6k8f333MrF32tV ln9X0qe/Qad/aHz1G0Z8+pvfHoms9NQPlp43+f5eY6H4k3D+XMG6Dvp+csuz 0lM/03o+pf5l1a5Ez6tIn3qAiQemP6ifRz3Pgk57gpGXfb+a5fLuT1WW/1n1 4wKd9tD46vfNt7dskGUPqf56saey7RnZ0zM+wYxP/x3C8qx7cfrOn74LBR3+ +O9zrXL2XdyTYd3Qe6KML+IzvvQdQLXn9P3dVmW9B6bnZZaP2e8k53oHVN8d 0Pc42S/Tv9UfrZ6nqd9QMPnrfW59R1n9zPjvRpY7zPjy93nFWfaphPfX0Sg9 9SOu52uEJx/F6k9Wz9sI7+ubl7nzId//bJXDjC89f1O/h6oHVP+zau/q+5eN Ze2D9R0C3Tfr+Z36r1X7Xd9PeHlW/upHX8+T1P+tnieRHvMjmHlJ6aTHfob7 sPoOHPUAk69i9W+r53/+u2hVWf5vSYfxoXazhKd9NT31e6l6Xo2vfhk9/WDj 7HsRqpfIpQehv+TSg9B/9DxS/fGqPbbvR748qzz6zsJ/2yUVynlHlJ6+C/Df djGFcv4Rpad+79VOQuMTHv2wza+e649gf9wXyvlJoZyfFMr5SaGcl0Th1S8w 8Xz/p0VyvlIo5yZR+urXlt99f6lFcv5SKOcGUfrqp/W/zyGi+OpHlPzAel6q eq5cejX6r3/+1iDrvFX9F6v9vuoVNH99BySXHoP1Te8DkB79UfPTdy1y7SPp n5qevtug4dXfBXT6M/dp0Rdxn5z+rP6StR/ofQbtZ+pPmfi+//bo3oMfvior PfXDnCse/Znf6Y8aTv0K+/WpNtK/su4haPrqF1f1rHpvzfffHMupx6W/qx5X /broebX6i9bzUdV7aXn0nRvVG+h9E+L79iPVWXo7+ncuPQf7Lb2/Qnq+vUmU n75Tkmtf+7/s+FiH9b6MruPqd13v0+g8qfHVj3uueZh+pfdztJ9qfuqXPNe4 IJze8yE9/9w6yk/9bqtfTf1d/UKTjzc+lkT3oz1/2s0j/y30Z/KhP/vvzpRn nVMwjunPxKc/g+nPqgfT9EmP/kt8X98Z3X/S9IgvejTXH6H7+szIDkn9+vt8 z15nwb5dWfROAPHpb2D6m85rmj7pybptfP1mdH9L/bJq+qQn86LrD3zTwfrV OKz7ZDD9gH0ydN1H089Ij325zb/S6UPZ7xPPe58nVR70D/RPykH/8e5LbXWP Xe/1I28Snn2e+otjHSc89SK85zd9SPRuMPXDP47H1/+L32vWIdYbbZdMeHe+ Tjre/bQwLvb07FNWOXsTbxwvifxFka8/L0R+hygH981G2G/o+fVJ5e/5jUu1 G5j45Afdu38Xxn2/AvGY7w8lntFjXxwPv0sX4FfXXp5fhyURJn/1a+f1j+aR /0rK5fnRSGH0OYTX+2tg//3WQuP74y11fkA8f3hLsvlGPp68stU48ufrBi4+ 6TMPSP/IKjf5EJ/f1W+zhqP/ajz1m6V+BPWdAvGvq/6usu5F+v50atw4hU49 09GnRPWGD+r3yPcnU+nuc6bT71jq+xFsU89h3jtFD4q/DuJzv5XzNOj080z5 HGYc0L+hg5UO/4gPlvGk/rncfAF/CQ/f1e8YdMJ7/WErP2X0O0nfaD6Uh/J6 etpUP5D5xEj+Dmt4+KXzAHZj6fh/OjuyMIPdeMCfot9f62qhs5+jfW35K0Ps v8CUS8vh3ZdItRd+eMDcCyZ97h+TPph0mV+Qv9U/LRi6+qMFM4/SX0kf+zXa j/WYdvbeC5gQ8/0IT8i+z+yt+xMi/63M67r+wn9fTo/0yepPFZxm6+qYqUj/ Ps3qL9vXGHvxeGKS/Ck//ZD7HfSvp9MFW+jme/8+S6Xzv0N6zANg5BWw57cw HhP+Vbv73PCX+Q29Lb9jp6nrN+sAfCMf+tmj6XyKXH8FEx6cTndYTTg9XYB5 AeG5v+751ehX478n2w97wnKfHyl++e8rlvv+OifE/PmsX40/f0yQe63DarL8 iOuXcQVm3qQ+6fRKo3FIuLY2XFa6zDN8CSd+DV185lsw8yKY9mSe89o98tvo yiHzscPpfJpF9rLQPTmuWWQ/S7nIj/jMj+B0vmMiTDzSY/4EZ8I7TPvwpX0J l65e58i+N4PdfPeE7Y+G9gHDb8Yn87X3TsOwyN8f4VmH6V/a/zz/fWHkb49x jDxP++FvAfmB+ZN4tJv/vnjkb43x5Pvnq8y0a0Wm/EvcePkx/Z9Vzk4HbOfL igxe6uqjcrPn5y5F9/zAT4j8r4HhK/HBmfnV3weMieQB2pN51PcLH/mbhx/U j3VJ/ZKRv64fyJEr0/GmBtel421253GsB+wPvfVhKz956XL9x7vt/O7Nq/0i Pwf8no4W6U9C8ie+6DfEHiy6Z0/4/7ZLc/oPZ09DeNFviH+rbDsPvXesfrbF nj9Uv0We38xU/qJPyTqH1XM30ZeI/Vh0b4/weq4m+hSn5ye8nmOIviRUPZnu m1hnoPOFP9SLdvf6h7Nbr5B+Ev1O+0On/aH7dlrZ9/Z9u5vse+F6j9T39xL5 tSI//1w6JvdK9X336J4kdP9cJyb22fq+e0z00JHe0edPjeMT/P1vPkX+KAjP V/1M+L/nOzr8he6/gx3dq9d75eq/QO81k68/foqzzv398VIs765G90yh+++A RvcUofvnIo5/WfeyoOu8A//lPXKx56vI8jehdn9g+El4+Mm8BT/13jLh/XvQ 0fvqai8Knf6m9/pUjwzWeZT663vqvr1aRZa/Bn0fXf0s8Lvew6Y+ei9U3ztX u119N07fD/f8IPWL/Oj7dmjR/gpMfbBPIjyY/qz36fX9bP997Ap3v5/01Z8T dPLT9631fQ3Nn3DkL35FHaZ9/feWq7Lem1a/JLnsDMHQ+ep9en6nvHoupu8/ 63149Y+s9wr0PWe9v67vOat9EXTqw7wDhp7LL6PahbFuU269r67vN+u9dD0X 13NBfZ9Z7YH0fWa1j9D3mdWeQd9jVnsbfY9Z7WnULyfhc/nJhM6+GX/MahcH P/W+uL6/rPfF1U5A31vWe8X63rLap+h7y3rf2z9vrxC5rCrrfWW9z+3HL3BY /ark8jNKePondDB0/73xqqx3fdRPhW9XFN3n1veV9f62vq+s9hX6vrLeM/bo /URu3UqOhd/q94t04bfe34aufnfgP3T4/99+eaL7z3ovmfjwW+30lN+Eh996 3xs6/Nb73dDh23/fa2/w3+cUrJdb6QngM+GVDl99Pz/58p5ugTuPs+Hzndzp 2+dHfoqpP3Sdl2lv+E6+6GvJV/1Uq99EHRfQddzAN/WrqHzyzvHa14TevetU efUc2D/XKRY/6SXyrkB+qO8C6LvM0KmfvsPh+1kvynq3T98R8P0JN/Dfbdjq Xjn1998lLXb6B+rj25Pni715gaNTH+jUBzr1gU599L0MHYdgyj8nHW+e26ej b2c+Vz/s0Cmv+kX37cNXua8vBy3Lejeb8eWPk2Kx347uoVF/6Oq3mHRVPqGd wfp+PeWg/8InHQfpZJvHfX3swOjcPhPPzidhXN67jO4VgDnPJD1/vx4PuX8B Xdspk48hP84HKI/aWXjvQm/lhxaMnhBM+cD+e9rVrjysO55fgxGl8q5fqQtP u+q9Fs5Z8M8A3b8ntNy9ZwVd7734/tuWuX0HfnVJB77hpxi+q70A9UDPDtZ3 FuC7vp8FH/UdZsrr72+Wuf0P5eULPdc9HurFORIY/xl6z8O/91Mk72mWOn0r +m76L3Tqhb2D3guh3ND9/UR11j0g/73u6qx1Se+VwF/t9/oumnfPOIy7cUP6 yAvkT3j4R7vTv6Frv9B3I6k/5dEv6ejval+h808GOzmA3zn3UEy/9uaLVHz/ /ZhS/z26ERGm/Tz+pcqD/pjyUh7KDdZ3hDx7l8guwult02xrGJ0TZb6+Pmsr evrnZg6730nPO7frHJ1z6Tkf6YMr0uWe6J9fbPXOGu1v5+NykWMqRQ6odHp9 /x3ehD/f9EyE5Et+2An4/YF3EhP6rpHx7Jd6Jtx5OPXC/oDy4+8HzHrJvJge j0uid06xj9B33iiXXU9dfd28onylfGDCq7xF/eGX9w7Sf/h5BxMeflA+2pN0 rT+fIscXMOE5j6SczIeMd+YFsL5D7r13mpqPmFcYp2DCe+c0qfDqZ8p7H7WN 2Dn1TDj7AvgBJry3fm1lF5X+NK7x35WeEMuyC/XopXHXX9PJDavx++9W79Yw D+j7saxn9G/0idyzoP1YF1iH2MfRL5l3vXfQh9W4dn3MltdhwpM+5fX8N6Xq g90M9RV+unWQ/r3AhnfjD0x4z+9Iz8ifP3Rv3ehJ+L+d3EV/SgePx1z/oT31 vSjv/dR4ZL8Cpj8hJ3rvVA+KufqqHOm/U1XjvzvYuCbr3Wi1o1G7GeQe8kH+ zbPtLPdkc78rbMdRhW9X7O5tLnfzsf+OdYm8u1WcdQ+b8vPenf8uWnGWX1vy s+Wpn3Vvl/SwRyM9MOn55wXLHKa8tC+Y9qT8Smd8kT/rMvmxnwLn2sepX2TK z/txei+c9NRvr6//XebojAP0o/ATTP7+fa3l7n1PwoMJz/6P8rJvJr5i5hnC g3P5DdZ3xaFTH+JTPk2fdcE/r68OvXdXUuPck7dS2LebL3X7TeQ5z342Rff1 BJHfmVx+3fVcT/3cqt9T9YuKPYu3/qXK5b/vXODGofZzPUekvny1X3JOoFj1 xKrnlPfts+j++9Mlbt8Lf/x9f0EWHf0S9YEOhk59oFN+MPxXuv/ObYnx5ZNy h6ETnn2Vb8de5eisR8hN6ehT1O4nohPe98MY8+3rU/3Ws09K8dO30y0KfXmq IItOP4d/0MHQ4af3/myKX/77tEVG6cSHX76dcIm8J9YgS0/j25MmRI+Sve75 eqCCrHVAseoDwIwL9Gs6r1M/xWrXoOf0uc7t4Z/6Oc7l95j+4O0H49E9IspP v4LPufxkMp/leB9U9XmhpO/knlk2fpYfT+8+1Fb+WsHefagU9s/BI3+v5Md6 ANZ3hv1+UR16++et3nFm/iY88gtyOu2EPof3q3w//fmOH9gbUj4wdH0HjHWM 3+lvlBf/spSH/RP8Q79AeNZ31jf2Ab78UG18/7XRvMx6yjzGegy/oNO+Gp7+ 498Hie4PkB77DOKrHxj6K+Hpr9DVTy71V/mC/bX0F7fvIT71R34gPNiT+1Py qP+uQ6noi+o7bPtTvpMfuA9D/cD0B9Z3MPMS5VGs/Uf30fQPyk/9kXPB+i6d jDff7j+6t+TsqNPRx0T20PJ1/Rf9M5h5mPZH3wpmvgMTn/YDQyc97KHtvFgW oo8A039oP/+dPPwZNghFn+Kfz00R/VLPiE581U8xjxCf/T791LNHTskHXj2m RPon5mXvfkwqvuqvuN9BfPRZ/r2QUjd+0WdRLjvf5Tl+qP5Iyuf0R4RD3004 /D/76Rc5PSP+l8Gct9Fenn119I64+q/Ouqdrx2WEvftXpfEsuzbf/2lc3oFt kNNPHPH9c+e47K+j/FivSI/46kfO0zOk1kf2oWC1e/LtU6P7ruTHOSDh1Q+T 3ruU+4iOTv3RD8FXzx9qKn66+lv5RfTtBqvE3rra1/ulsPrZ4/yU+KybrO++ fW+12KlVZPmh8u28sMOJ/AI1zsiTtluXuvKCKZ/KedBJH6x+yiiPvheGfAH/ 1F6S39UvIOlD9+1v87P8ZKlfIv+dj3xXHtqNdNW+Usuh9pzqbxA6+ateBDr9 ybfTr3R6pv/ex1fl3PdTH8YV6aq+R89RCU89CA8/wdSP8NQHzP4QTP30/hvr lm9HXFfr29Vm9PLuvkBdrX8foK7Wtytz5x9Z+yfmFfIDk5+v/9ro9lPUX/dD hKc8YPREnr65e8ytX9C9/WQ8Cs/9Re++Yqo+zAvUB0x9wPRf9mt67k191U4D OvXz7eIKs+w6NX/mafJnnqb/qb0sfIXf+u6UYsKDyU/92KkfMbVD9f1yFsn7 LoVZdlbkp5jw4Fx2KOpHlvkW+QF+qd232ocSnvLp+0GK1e+evusEnfDoSym/ hvftGguNllftL9mPsU+knzMPsH9DHgfru2G+HVG1tEeE2U9R/lx+BdkXqb2f +uX3/BKURvfgGT+El/tVrv7QqT/piXzl9GTsP7x5YCu/FHqOlevdNPhF/tDV D6LSkbPFT6bTl6g/IpFXDXIS9RT/E1n3QMHdbT2z3iOhXQjP754/gNLILwbh kZdsOes5vZs/7yx37+eQv+rZ9f6y3mdn30u59H4EmH5PeOZ/9sn0U+iE1/NA u/7McfsdMHT2E9SfesIfxRqO/SkY/wLe+Uo8lpWOtJNrt1mW7u5dp/GwGodp P8YH8b17+Y1rfHuxVLqsm9C9c/wUXe95UE/KA6ad0/G28pMBZt1lXJA+/Kc+ 0EkPuvrx0PoOtP0ga133+m+KTnhbn2h/4N8Pw04yuifM+SPzE+uOn16+X57U eNF1nfRJz7+HnOfObRhPxPf9yq1y/jUoD3IJ6ZGO3gsiPuHAhKfdOI8HY6cC 3/W8HjrrBv2OeTeXXpD29vw3tMnWO6kdmHd+PqvGt6tqLv5BUvtw5gf6IfMJ 40TtRJkvmIeRH8HoS9A/qP0PdPo/dNqLeU3bAcy8QLvgpwI69+cJB530kTMI j39Y+gHylW/3UeTKjX0O/ce/T7TK6ZvBpE9+6IfAzNPwX/1Wee9INI/8N+k8 As7lByITLsuPFv2K/iD2cVl+JmhnmU/dOq1ftS/07oukyk16nn/BrewPvfL1 i+7J07/pp3beieyj4Rd8ZZ0lHe/84j/8cHn+FVL5qF8H9MW2PKVOPtBzGvSE rPvoCymvt56F2Xbc6mdD250v7ap+tWgfwrFOgNUvmsffhqKfbpj9zp2U2+mr mL+Il26Hrfx4gNPzfWG0HrO+wB/vvkZD0Q+n8kV/TH1pN/gh/o+c/lf47Pq3 J2+k+ODZZ/6Z7cekrS2/4yf1Jh78Ff9V7vwEeYj+rvc/kAeJ591HmZJtz4h+ HH54/uZS5RP+ufNyyged9Lz7MBfHs+wdRX/u5CT6ib6/yHzv7E3T8aY5rHTW K+Zzxi2Y9oYvnO8ht+n9ZOYtsNpDevRUfbz7RkOieQTs2ZG1yaazXsMv/B2R vncvYkrCvw8wJZI34Id/X6DC9++U2j/454aV/jly98h/Vjp7Ews9+9aUvOKd r7SvybKvhK5258zTtAvyDus56wHrotoh0f+hEx99GOE9u6zUPoH+hd7At5eo FD/wlfLOdeRXO70uDYr8eek5K/ac9Hf8fal9J3TCkx79yzuHSPFT73947Zdq D/oL4w97SOYH757MlOj8B6z2oNCJ7527Ton8HYGxDyW82ofa9lrqwmMvSr+C DwOtnOPGV2Pbfln7FM9OM9V/oaN/BtOfvfHWuCbLfhT+4U8I/pGe+kcjPOl5 9sqp+LQX2NsPDIro9AfGMfnR/vR77Q+efVP7CENnfmbfQz9F35Pr3SDs3zw5 KK9K7LuZTxY7/qt9rieHDIr8M1FelSfox/BB5IOs+2uEZ74Tv5ROLiC8+Kl0 mHHopbeVn1OVq2kv5mkw9cjlFxNMPL0/wXxJOt59g//wC8f6Rzk9vUMqPnSX X2Z+8fi61X7Ak6d7Rn554RfyPf3Ayl/5Tp4Tech4fJwS6ePgj+w/nBxKePFL Z7z9SedM+xVG92jAjTNyoydvdY4w9Zf7NsYLv5Vcm2brn1F+6d8j/3COTr7w nfsb/rlKnuOPyIsu/0z6rlzQM+k7OQz/iGD0I6zb0OGr3m+R/ubkQ9Yp7pOA 2d+yzkGHX3p/RPVo3n3GVHi9D8J8ynhl/rXzf7VPj1f765uJ5lew6ls8ebV5 PEue8O6JhnG3PiFPsP4hP/h+lascX5AfGI/Q9XwNnG/L6/QbYJUvvPfTV8fc +gxm/UY+gQ727P5S64O3npVmvQvv5DH6q3dPYAr+a5Y5bPUnK9x6Dx0Mf8Hw k/4Iv8Ge3fqSqD3svFPjr0ep+jxg5RG3PlMf+guYeQT5hfmd8kBXO0bOp1kH 9HyGfsT4pd8zX8BXz044jp/RSucvkfXXv2dRlvWenn/Po9yFT1fztnKXHust /Rp+ebh7tn2rdx/VxHw/pIOyMempn0TkA7334u+nKjJ62GUOW/3tClcf6NQH eRH5y9MfrY75+q0U9tbpVH3U/wPtQnn9+4qVWffOCU//AHOuQ7ly7fPAqkcV /+RZfs7UzwZ6S9vvI/97tl8Wy72FyC+HpZf7+84UZtwR3revjN4ZBJM/2Pdb Ffm703c2wcRHn6/n1MTXcwMw8dHn6zk/6em5sJ6Ten4MU/KtN5+k8vfsRVL5 g8lP35sEcy4NJn/Vz/v7cfzfZOwonb+bulrfH01dre9/pq7W9zeT8Z/Wr8bp 40nf94dW4LDaRZOfTy8yfj+IzrlIX/3MgOGz3uPy31csMpoe/cq3n1zt9Dz0 A/gKZp9PePgAnXqAyV/z0/fjsP8mP7D6QSE/6N45bAr7+v9KsdOqytKDwC/k AsaJ2m2pPyTWccqr/pDAlE/fSQATn34FX/37FauSnK9ou0Ln/h10/92jVUnO P9SPHnTOQ/x9aoMsP3vy3ojJrFOhftmfMe/yu3dPdYncg47H/PuTKezpPUZE 9znxF0J87NHRR2JfjZzHvhw5zq6Hm5w+gPCUE3meeiBPQtfzNLB/H3KZ05+q fw7O3wmPXAsduZb6Qyc/3T/aeSHSc6neA7nEl+Ni/v2X7tVu3iK+Z6+biu/5 FYpHmPisj9g9+XYW9eQee4TZb1Ee2hdMesxzYOZV0qO8ikmf8pI+mPQaZ+Tv LHv3TPvqukT5aE8wdlQ6z/vvCRbKfZhCt85gb67rnDdfxiOMvZT66fTmy63s Tgjvpb8k7sff6n6KJ79iLxFG+oM0n5pFfi2YHzy/AW2icxP2JXqPUPxkZJ2T ZPJz+3eJn+Vnw3vvZSt/7eSnfjTYn5Ofd06Qkt9In/kCjF6Q/Lh/gPwOJj/i g4lP/oRn3gGzv9f7lv99fyHaR7P+EQ7/9NRT73f6/ttEPzYlOh+ifVl/wO78 PtPenN97fto6Rv6BkAvYl4GZD2kHwpMO4cGEpxzMvxqf8hMfTHz2J4T37z0t c5jwrDPkR3z/fdwSg57F8r/E8Yv1F8z4hX/oMehvhAcTnnYkPPMl45z1hHmZ dUr9jXj25z0TWfY15MM8wHkE84RvZ1aVpW/x7rENq8myV8H+Tf1ygZHH4A/p 0H/1fIR6ki/yF+Mjl1034wV+su7Bn/RnUKQvUztA775q98gu0NmF23gufeQT sOePYkLMt3/Yyh4Cund/cCv6CMsv33+bxk/ty/1zxUrRkxS78HY+rO+w+sNQ uk2vRPwK1hd/cHkuPJjxx7oE31mXiA+m34F9/2jFvnyV2i+Ama9Ij/C+3Xx9 N1+ht6Q87Dd8/xeVbvwRnvpB9/2nRfHpP2D6K+E9e6QxKXkl3QCfODlQ758T j/J6fuvHuPdljC+vJbLO4X39BX4wFzs9KOOT+3H+/dICJw9ij0N5lL96H9j3 a7DY2pstqZ917wLs5s+M3KbzIfMS6TF/MD8zD6nfIV/ejPSqGf443N3OV2Jf U+zL36n+r3oK9Svqydup8L6eoX6WHgI9rJ3HIz+jyLtg9rXEx76T9MHQ2fcy X9n4GwLPD0U88iOrfp3gT6a/uXfakLNt+TYHtBfvvaBXRP7JzOd6H9W1s3// vSz0/DSOKHXxRlj5wz83TGHS53zQl9+KQuyw08NtSD3fLmMrO4Vc5xCspxk5 2unxGE++n+e408t69mjDIjtEfQfHt1svl/4U2ROzjnn206n9m+9nuNzp03mv CPnAu+c/KKon67t333d1dD5Df+deAv3Lv/exytlnoUcCM77YL1EO7D19fwKR fSj7LdIDcw7GfOLbrZQYX49VZtTPP+dyzCe+/Wx1ll8zysN4IX0w8pN3jzU1 rzIfeXYZzSN7UH9/Vlerdj3s58hPzqcN/cqzZ4z6ndv3patdGtn7s96if6F9 GDesO2DCI7cyT8J34tNviQ8mvtoPMS95dgGzonM55B3PDnur+ySMN+YT4rOe IN+A0Sf4+7MipycA0z58aVc9H1R7c7VHYjyxDlN/feeYfQ76JjD3fny/QBuc /Tb202DkH+rH/o15yLPb2Greol/oPCXvzbrzJLFbNL5foESWXTv7DdIHsx9g vNG+nl+m1Hzn+WOOx7LOAfWc0Ls3tJXfKuj0T+L78muZ749jROSvBTrlY33W dz1pP8YXGH2mv2/eEOg71qwHtLe/T90o42yD6x/Mj77/30Inj6FPZl8J9veV 5SJPlxvfP1GZ+Acuc/oBfW8XfRjzBljfDfX90ZSJ/rRU/MmUuX2mtb+odno/ tctVTL9mvRd/sqGs8/RTF97zTxHG1b7ayRF80dcgz8BvMPsLyo//VuQbMHIH +TDO1E7RrhObnD8W5jPyQ57w/IkPrPDtVpdUhL6fzXL/3Pff8JnxTXjmGzDz seoVVT/v2QFMSWTZQ5MP8ZjP2P/Rr8DMr2rX68vvFc6Oxq5jFc6OBuzZKXYs dOFt/lF/Qz6kH4Dpv+of1nuXomHC2Q/m2ifS75m32SeA2cdhX0u/g7+efeaQ bP0K5fTeex4WvS/p+eEyMVde7AlI3/OXlKq/6HXcuRwYec9/L66ulvHl+RNN /U4+Vp5c5/iKPOnvN+uJH4R68n5PgdNjMf9QfsYnWO2koVMuxjf8VH0W9bZ2 aGXOHiXdfW4rd/K5bZ9Kx18w5+/wDblLxlUo+np/v9Qwe1zJep3TThLs3Rce GHd2gOnfp0f3acQONMtPumf/OD0TbrfIXob11dNrxyPMeuz5SYqXib+syI8j +2XGP/tjMOs1/ZH2RR4BQ/f8BUxJuPoxj8Ev+Aof0rBZxC+wd5/9z+x7Q+D0 N3r312HyoX9Az6SXdY9G34fNhHeYdYX6QSe+lOe/3xVuFp0zIH8jB2OPCUYe R38LnfpLeXO9e+z6G/3e38cUO3kEe036D5j1g34BlnMn3x5/SmSvqXYD6AWJ j52Cd398dcy/L746lvVesjffNs+e/+mXnn/71HqV/g6K7L3SwbrH/PuJ7WtC z+6+fXR/Ut9N9/ULxe78l/Mv38+N899lRA9p9P6B6r39cbjaybns9+AfdP89 tVVO30u5CQ9/mD/988HI/x7rNOsP4VmXwZ5+NLVOgi2fq2W/WeYw8xf9y7eD WBZ4dhUDI/sFfv9ffvl8u4VlWedayM++Xa74c4zHHEYfgvzv+8tY7vql5xdp q3cw5H62+DXGT1Dkr43zReLR38DMF9g1q3zLOGMeQC7y/LIPww4sg5fUl/ON yI8r4xk+wxfff0+xwU6T+cR/TwU/SKVZ+1I9FyGcf/6TL/5C851cgP7L16dV +vNMqj18P1Clzq6Z9ic/lZ/p7769pNwbSmHmQfhL/2L9BCNPISep/TEYuRB5 iXUz3Z7La+T9myqH4Tf7GeSzXH6MLb+r3Diz81Slk0fRX9I/0W+DsffyzhVT +yX//bnykK/uQ3w/thVZ8rTa74E9vyRb2duBkX/QU/vtle/KQ7+w7RzZezI/ 0x/888Po/Sv6sS+vl/rnlSnMePH9JS13/dF/Xyg6X0L/5J2XTFD7pQgzX4CZ L5BP9L4o+2b4w3j27XMieyHOq7z3dLZ6p5d1Tu8FIw/Rn+hv9Cew2rVib0J6 nLcg30Cnv7vzmAxWP+y0N/ylHr6/5bpa6MgvzL/UH8x8C1+Zb0mH8JQfva/n p7x5dK8aeQTMvMD8x/xGPeiHzE/0Q99PXnSuPNDKC269SFd/Sz05TyoMfX4W un0a9zkYJ2oPwvgDI5+w34Qf7K/gB+Vj/vL05LNqxJ6pvvitj84T7bjW9TLP YfoD7UV/gc58CqY8hGc+9e1jKsVPfaVBf4L+ivkKeQjMPM+8Bz/99wnLxL9y XS3zEXI87cH6A//VvhTM/I/+1NcHbHDzOeuXbx9a7uxkKJ//HkZZ1r1pMPIU 5x7oLxkPzMv0P+Zlyufomf4D3fe/Ue4w6wzrtLfvL43kS9Z5MPMi5QMjH7Iv o39yb4/1mf7Dfpv+AU6XZ0x0XxE8wqbr9rdyHzBUu7d0/+wX7e+Yv+EL/cpf dwuy3mH1/RLUc+s32LeHqSf2NNE9CPop85HqAcHIp/R3fXfUH8/5ct8kwqyr hGd/Ckb/oX41obN+kL9izk3pv9izg1mv1E+lby9TT+bvSD9Hv6Od6Jekz3pK /weLHwznjwh5xH+vp0zslcqc/gG5S/2q+uchG5L+PZbofC5THnf+A6Z9OU/w 35/LF/uS/JD+yn7ft28qM779eanx9fn5br6j/zB/WH1Knrzjm+8w4f37tHmu PsxfzP92f1bl9CfMj2DmR1/fUubrx1LzE/yn3nzVjgGMvpR5nnTAvvwdvY/A +CQd1lkw/ZL2Yf2m/mDaU+0NWF/B+v4p8q++o4M8BH98+TUa34wv6Iw/xicY /tB/wNST9UD112DKk5an+pU7vRXtyX4H+lNNX77ow68y/qRS+4SLg/sn/No6 wjb9BuFzl047oYGpCV8YfNxD338ac7+zLg3d8GzLC9snwn7bNfkscXili9/h 1XvHlv9T7sLbdi0O53875pUGoxLhiqtHft10hxIXfsobO03vdHexC79y6psd qgfkOzrz4CcnDWh1Qpfo/uGFza5vcfvyRPjhzYfM+fbeBW7f0/eYs1/adXLk d4b2IDz6J9KbMHj0so1tVjr/h/VLN4289ZJ8Q3zuQVH+27uf9UHlK8Xu3uaI r/aPH7W5vgvv3rvO8Ge/yiPXzCyqcOH33HPb9l0bVbrwuw1uP7FVXczRn7d8 d/SzmzXv8+vTCUcfPnJA/3Wv1bh26Nvm+sWN940w3+cuMfePuzEWbnf1R0WD l0S/0x6vj5367Td/xcIuSfP44rH1HR1+17wx4dFD74mF+cdNW3vstLVu3wv/ oJ9f+9rzP1flO3/o8Iv0Zx31QHLhscWODn8o32dX91/60qhyR2816on9jn4j 5vAp175oPvor4XDNkJZT+/aJ8HN5ySt6dK5x9YJvw2y7hMX7XtzssmsqHX1F 8/FXX/9XscOM28cSL57z25UV4ZTiM2uvmRe9I//mrrfse9D9i5094bAXnztq QZ/oHW3WWeJvfiCefOXLLY7e962fZseOrTDgI2fu3OjH32JGymsuyIyb/c46 oOCXYQlHH9DzxzeWXF3jyunqPfH9V+a+kdoft33o0NKBlY7+Rf63427Zrr7D H159ep8WuxREmPF0Vd7rY2dHfq7BJ57259ijWqx289nc+45IVu2W5+7pbVz6 fJ/Rj0T3W117Zsqz8tdv7ut1SYWj373lgrMn7lfu8HfxmYev+Cfm8JDdx38+ qXuEu9385HPjRiccPmBo7YGPnBThPjucfcK1U6J5oe3Q5FvPnVUj92srwkXl PcMXTF7Ye9IhFXefVenos188/bn8ZHQf96eJ72/aNDriC99lT+w/66d78sIH Bn1w5KAP/nS/wy/oPX5pGnRfutLJaxfN2r11+2+K3T1G+EN5mlZ3WDNrzwpH L79k/DUP/RDd5/2+su/LRwyJ7vM26dV28nmjK+Sec3HY6b6Re32QWB3kf3zG ts/3qe/o917y+pdP/7TG6QtKT/v2rqffz3NyG+OT+DMmbnjj+k3Rfd/djrhj jyPuiOxMGoTrj56UiO5N/vndwro3H43u/z4155jbu82M/HWet828xKHdIrzN e51evroJ60pd7aLCp07t8WeFw9e8Oq1y1Kj6Dred/UD/WLjW6TO+mfT+vpfW Zz6uq72nrvfkC2qLHT6+xYepv9G6+NTxp4264rVIr7PTJSVzz1qccLi68v76 7R+N/AvvN2r9N0f/UelwwcgzP579cYXD8BcMf8HwFww/wfATDD/B8NPlf/G4 Pl+k+Ammv9Pv6O9g+jeY/u38zmb6N5j+DKb/gum/YPormP4Kpr+Cma+YF5mf wMxPzn98Zn4CM/+AmX/AzD9g5hsw8w2Y+QbMfANmvgEz34BZX9x96Mx6AmY8 Xtbv8+cujBcY1hforCdg1hMw6wmY9QPMl/RZT/id9QTM+gFGXmAeQl4As152 teuPQV6ATv2umvDCL32r6hvkBejIB2DkATDlID7yAHTWfzDrv5TPvJeRs5AH oCMPgJGT2r9Zs3dydIWTd9F3Iu+CWS/WjNww/pQhlQZ5FjryqjufysinYObp 3be/9evjJ1Ya5FHojAvoyJvQkSfB1IPyID9C50v9kB/5HXkRjBwPH3e38qfD H2bkJDDr7OnJCT/0urbGZORhR3f7/39W/PryQdE8Br7Pyt/O7w7jiPSmWnnf teu5mX4HptyDdjjv61serTEv2v2Ho/NFTqZ+fO9//rC1/WZXhr1rVzc74Oua sOnvn/VqVFIZnnLBJ9f3vbAmfLpB/1PXv1s/HH3Jusd/fCglT9/f49fTBxSE Gx9q22D59JrwrrJlEzt0yQ8vm1RWvvq4mvCIh2MXPfHo2uDNnw4+dKeBKTnj 2gOXvrvjgmBC/LRHbtm/JuzUde+eXfeen/wo0WJ4okVNaJZc/m7Li4tN/ymz T94rNW+EN3Rf+/rgctN7Y/Nfuz5fE7bq9tlTuzwVMyePvmd90fs1YdE5j+8+ 4L7UPmvKtTOaX1AZzp8z7uslqfXywkXT984bVBGO3POKjgNHVLrvzCFXnfL1 9Ar3nftyvaZP3Vo/PL3v6Geva1YZlrxePrf0zILwj/N7fRp+Vhm+se7OB09c sSbY5eH51c13qQxX7nDxM/F/8sytn7WfVje+Inzw57rU3yJz+k9DTvlpSGX4 xLOt5zU/vtyMXDProo6/V4Ynthzc4vgbY2afuc8mFyytDL+YPuDEM+cnzAuD +j4x+KuKsOm2bY85t33CfL3T5tefXlIZNiw4687Lx9SEHU+p3W/H0pJwQ9H2 L/ZMrVc7nvV51+ZH1w+vPeqn6YNNZVjvwj2u+GpA/fCDTP/j+8oJE/OaLSx2 39mn3FR1+1v54Un7HNC7U5f6YfDN2cVbBqwLPtnpmQtGNCsJm26+fdU/pX8G P9T0b1V1Wf2wzaolNzdpVGEe/+y2rg+dXD98uMOWjntNjJn9f93z0ZYP1A9v WPTxHWc9kzCTnr5s+Odv1A8f6bHdK5Mm1YQ/nlq2qaxXQdh14Oy5u1xcE94y 8Mm+Q1/JD4uXtvjkh0srw32PnPTbLuvyw1va/9XjnENKwoqbDqvXu3dBeNbk qy64sLx+uGDVR0vvPDM/fOrwVgdN/jX6XvFA55eDx1YllxZ0PeOKuvzwvtcv Pe7kDhVm3iHt9nv4/FQ/+/betYP+iJmqnTot6jskP3zp1vWJbu8kTPGgAxt9 Oj4/nLP7nPZXhjVhw/cmz57cdl1ww5y5J93Tribs/M6Pnx17/5rg3YsTS78/ ujKcMGT2KX2arQ2uvuPzdvPKSsI9nnpzUaej1gWf7/f9Nc1ezA9fH9ys8J3v 1wT73//u2vveXRhc1/urc3p/tSb46MUL/hk5vth8UvpDy5kFa4IW2xUluycq zAOTV92+58w1wd/59xz/8dcxs8e7p387+bi1wbdXhTOGpfjXb/TMc0bcsDbo 2e2vHsWjKsL1y49f2PW6BcGl53+4xw49Uu28f7JbwwP+DM47ds7Sn24tCNfs M+WsR474K/jy0q6ntf9wTfD9hX8uaP7gwmBF4YM/3fZSnql55chrRy5YGHx6 wm17D51XZJ6rOXnlTe8vCj5qvm3VA1emxs/Ib2Jdey4Olux32rNvxmvMM4Pv bvpBtwVB18UvPPrqPTHz95CS66d+vji44MTlf3w4I2E+a9bm4XE7LwzGTP6h 7LrUeOp3z4YBlZuvDtbceuOBey+qCM/9cOKoO9a8Gty8edUDt4+oH5Zs3/6L W7qOCVY23vnFT0esDSZf3/Cuqo/GBp9e0P2ctcX5Zun9h4xc9syDwT6fjTli yFHFZvqjq744cIcPg5o9xzQ//f1y8+wdf4zetHlMcOkNY+rf+WrM/HTzied9 /0UQLFw5+uNLUvJnr+3KW7Z69vGgcsTOL728tjLcYfSwL+sf93uyyR5H73/s JxXhO0UHPf3gIfOTr1fcvt/K1LhYu+yEP85o9Efyw8N6xw+utzb4dPYzW+bf /0dy0Lk/LNtubJ7ZdPcLHe46el5yr39+vXVTRbHpcf2Sr99+aW7yo7dX/vPY o+Vm5YaL/3j6xznJe5d++cV3DWrM0At/ub/D+fOTzfrP/fuFWQlz+lNrml4y al7y31FyYMeacM7+h765Lm918rqjy2a80qMy3K3/4tNH7bIq2bfj9EVP/5Yf njrrpus7X7Qq+f74vb+quin6Tpuy3S5LF29Jrm341nFH9l2ZbDm1ZsND3xab yUe0Tr4XrE5Ouq9Vwae9isyc14efUrX9ymTfT2cedECzCnP5ud2+O7zh6uSL 58Wu2nt2zMQevu+4z8euSu531Zhjv3k7YS7bZcLYZx9alTx4aINuo3rXhLd2 PqF+qxvyTKvnnho/a2JleEbfY07eMnVL8rJg4F6v71M/fNZ0n3nu9Dwz4Y0H vn7jgYLwyTU3P7zm5i3J7n/de9e1N6xODjl9w4ENluWZMQ98cOyBXaJvv/ql F548pcjE92+/rEfDPNP3ofv3mX5VhXl5xs6n7rolz8y4vtPJwy8tN6t6zf59 5bItyUseqX/DmWtipt9Di17Y9us8s/K00u49Uv3v6IY/N3p+2pbknV0uev2Y LxKm3VmLn6oemme6LHnitFe6JMxOPw3+fvh3W5I3nfPCgT161ITnz13w5/Dj i02/F6etW/hxZXj+ds/8/u0HRabVFXuXNV9ZHO5z3cMXvfp5sWl80C4ft+te EP7y3e+t3h1YZM54/Jc7xtesThbnz37u2Z7FZv3zbz95eKs8c3mviwoTqX1H yRvjJ1R8Fn3DC67Kb9C+wrS/86PHjhhUbAp3mvzqjueVmyfNjkckX0nl1+jJ +pVLUvu5+z895KKris02x3dqff4dMdPuu7Yf1XuqyIxc3fqBWSn5uEnH7t81 Pr3YVDcetX3t+Qkz46OTFs57osis61n7eCy1bo5Ld6Ry88WU6ds1Sa2Lh9Q1 vWfnOyvM9j1XdCzZvjI8dKeDlwyoqDATrtzzqcrf/kgOrRuy07WpeWbGmvMe /GDbfPPBO3WXd7urwnx6wa77fNV/S7L20k3XPHNQuZkz4O7yE64pNu0uObrX rntVmPMy8gLfGZ/0v6XpFzFz3Atn3nPbd+WmRbOxV12yNGGeG1axOXF9hfnt 2id/vfbJhFmwfzB3/6DcvP3562P+6VATLujy0vRDU/uC4sq5MzY+Vxl2OKj3 NUe8GDMb/7n4o08OLgh7/MvO52Pm0Gf2bP3+4FXJfXa+qfvc1L6n0XEbrthn nzxz2KKHZ85O7TNrPpg2Zv1HxWb1oS9982NNjenx9Ku//PBukXn19dLzxz0U MxV7FFfscECFqb3tl9pblsfMvi+Xbm53arn55pjfDnsyxeehO90ztMOv0ff+ Nz4+49M+0ffykz65+pN3E+b92b+NPHVazLx+75U/Nu2QMMt2fKRRmKIfOX/c 2PtOrwmr3z7//vpTE+bkM+q23+2JyvCv9X/0f7xvwrx82vdvbNquIDyj0b7t 2t6dMKWnb2nV5JUFwRN3bhhWsiBhBhWs2um5h+Ynn2v2xcRLVifMMcePKon1 X5XscthNj1/+VsLMXHV3g9l75JnxBw+/5NXbEuagkWc9ve7VYjOm8dilLecl zC03jK7Ne6fIdL7zn+PaXJEwu15240vH7FFhNj507ae31CXMp2/l7/HrKan6 vnf4lq9T/aZgwrfdL5gVM6Oav9l44oiE6bi6dv2/9ay5ePvh+6fq9cMXixtU DouHfNmfTM/goYXrF3QesDwY++qJE3svjofDLU6CM+FcOne1umhOpzPj5k77 DffsUvnPAxcsD/asPni784pi4X4WJ8GLlo8r2Wv9rGBct38HVGlY03vD5ocv n5Y8fPboEbddXhre9tZhV1UvXpq857Lklh2eLQ079T67ev0Oy4OyVdvP/eCW wvDITT12mfz+rOSS4cuv+uvZwrCrpSehH3vH1P7LCpcHOx95bJc3rtsUNF1+ YYvlF84Kju/2QctuH2wKTrT0JPSSiydd+ef6f5IbL0p/g5+65Xe6emA8rBzw bdPPZk8P5pXuf2qPFH6yS3LnDT9ODxqMOrhRim5e7jSl39it6O9YejJh6eFo S0/Ot3QDnXzIV7+Ufw9bviTlb2PLn4Qflba+ppHlR7DM8sP0svwL7rP8Mx+2 7dpt/o3TgpqRe9+1b7dSA7+Psvw2BSvS7ZGss+1h4D/xac+9bfuZ34OSHarH x8PLpzQ86M7zo3anH9Av6Cf0p09t/zGE4zv6kp/2bfb6AmfXOc5iZ0+VSc/t o9kfxQ574aZLj6sOj1o44babHpiX5e8JeitLd/anP/wxss2y+dG5ZAYbwdF7 Gxm6/y5xXW2XJrd90ntiqSF/7BfIz9mH+uPM7e8u+6Z5yzdeiOqPPRflhw4/ 1F8RfPlkUNWul3VIhHyHVx9zVtvdv0q+dGTtTR1bJMJGvao+6ZEa95lvKF/T aMfxrzQrmhAcMP73btMPT5jbbfwgE1+xpm9Oqjfhxg2bxgePX3HSYyUDtyT7 1i0+dPziL5MDhv77Z0vyVktPQj/qtN8fe3236L44fF+y6PuDDtym0vEdvKbL fre06fZVcqcRLz815OyicLzFAfiur9L5BT/b/IJWRbY8k2x+wYeWnoTe09KT 0G/4uV1Fg6don7payvOPzd+1O7iFLb9rh4c2XTHqrEWRf6EMlveR6moXNDvy x6FbtiR/P99ctW/lhOCny7aLDWpbZKjPbrY+hvqCib/xnDnxtjdF/obevaH9 36XvlDp/THMuHzlyh3dKTdUnBzZe/sXcZNsetR3vL94QfDu4atHgquXBV6/f edQbd/4UdPh3Gmm5POjy59nN/jx7SjDV0pNK72XpSeLPtvTkhZaehA6/7j10 4l1fzikMtyk58N6HaucEpZ+Xv7zHwyXmpXq3TO3224Rg/8/vXf7QWTEzafGe k05/4MtgUlmTjUd3jDn7oPPM1DVm6oKg7bnHzV02Kx7+MumP4w87aXmwtNW8 1sdcEQ+3HfTjyLF1y4LbJ10xuHJhPByy7oEP8gb9EyxvesnwzT0SYXJ24XEX XTQnOPfeeK+yGxLhoQvf33Pcs78GS/ue9elJu1eHJU2ff3Fc85nuHHPMMzcc 9/7UqcEX0z67psseNa4f7r2+RYem18TNGWd/03CPp5cml9n8zU42/2SvdUXb 1t4VjdNnxxx0+cS9qs2Qx1bstOOQacnlNj+zm80vOfLbDiUX7VHj+lGmfOZk W77kvbeZXU+/e1xw4pO7TPnyxxrz5bfFP7ZtPT4YGZ+S+l+NebNH3QllXRPm hoVPPdLwm8XJiy6dfNU+FybM8HOmrb3muCXJzZafSfg5b48ZPWbMqA47XrXm +qlrlwVv3XfvgPzRVeFbi/7+a+P9y4OHmtzTYNRf1eGv7yyb/vBeS4OSXXYZ 1Loietf6udfmfnXbM7GwfWzaczPvmOPu3574y5urph8a+W/pMuuwih3GR+cO 1zzz0TMHn5AID97j0icGTFzh3nEZPKv9+Kq7l7tzI+LfceH5x15+VOSfp9k3 zZ+9tbYynBS83eaCYIk7H/vpseS6x5LL3HkL8c+/9d/99YKgtOWHn9Smxpsb F69dOfq1K5e78429rv76hPrl0fkE6dF+pHep7X/OXucKm34yk76z07jp2Zs+ mrg2an/Kix6O+jp9ayb9Q239XH8H72f55fxT7jt4rxOn7BQLf68s2Jxcm+r3 577/S/ee1eFnzxz62pAn4+E2R9yeOOL26vCee//9Ew8/uXfUtB17lIUTd038 uPDvePj7GUf/cMbRpeGiiu+WVnwXDx9sePs39wwtDBdPb1/277j5pdGtp+T9 sik447aJfzefFw8Tg9oeP6nP38Gqm94/75ftXXjzZyZ8hxtPrJj3Yj3zXb0R b7XoGg+n2fTN8kz6H9v8TV0m/wXnPjTv3IdKza/1+/5Wv288fPq92s3bvlJi Rh3yw1+XlsTD/Wz9DPXb3tbPUL915Qcds+StKjP8+hVn/XFQPGwza0vrWVvi 4cDujVN/Y+HfO84cs+DVeHjNeRtKVz5eHb5yyuKvrqmMh39PP3/ihy1i4RHz h6yb8GE8/LB364M/alId7h+f9d0d28fc9+YH661p37E6POa3GcGO/VLywsTN ux5ySVm47bSfWtWvioVll3brc8v2peGu286eV14cCytPuOad754vDG/s8/cJ X6Tk1/ubnLD5xTGbgtZn7NH44PxU+LG/Pjzm8iXBhk5Tn33usKrwXktPtszQ C04e9M7lq9YnWx9x3eBWL1aRnrk+k97h/duUFferZ2K1I+d9sqQqzLf5mz0z +X9sy2fimfLVW/ZI29d6lpqrJ5446vam1WH7d1b9/XbfEvPpgLc73ZvK/1Zb P0P9mtp6G+r/T98rXh9zcbX5y37DRz9f1aTTw1XmYfsNh1h+GviZ4b+B//9Y /hv4/8ttLdps0yZuTm4cNj5tVlV4+LC3frhxcY3Z0veFo2O7VYVp8TIlN5TO eKXH0WXl4b9ap/N+SfXbg+8YsPnUsvCCFs/nD74hHq5dPfiDpstLw0HbbPtX /7JE2O+4d3/pMq4kfKn/vefc1CkWTj3wvGMTBeXhH6c+f9DDc6vDntfP//yD /cvCSZcNPnuXMVXhLfvetfz6K8rCdW/9q0iOhefUXjNvn79KwrGlvxxUmIrH t2L8cT+UlZW576dbdlrWrF1JuNPIdovu3Lk8HP/0v4qOsjCxS9OrZzcoDb/5 Izb6z3OKwiPDfxUy5eGLFz36+rIDC8PKZOttvp1fGj68pHz5GdcVhrOXvHXr PSeUhlP69Mwf/ubG4Kt/2fl5adi26MDXf5u3MejQ5/K3qx8sDV+d/s7BFx4+ J/nGR1dOnPFgSTjDhk9+mQk/zuZnDsrk95LNz1Rk8pvwTNM3flldYA698Y9t Rg8rCUNbfkP5P7b1NB9l6lti62kKM/U9YberZr5WUmqOtd/we8s/A/9etvw2 8HuB5beB358/8vvnd5dWm/Yf7XvW0Pal4W/V8z78dJ8q0+PQA06ce11J2Nm2 p6E9M+1vpP0N7X/hFw0LN94WN79/N2H/YweWhsecdurbnXeJmxcWHNCn7LuS 8Ppedwy+dWM8fK7zb2sunlYYnl70Uevfno2H593csvUBNYXhgnEz25xRHg97 FV770eLKovCUghvaDNgnEb77YO2I2yYXhJ9/9oXp/0I8/LLq+fH3LKgXNnj/ 8Ea3JmLhScPyL0t+XBj+0nHK1LsOqA43njeofrNkYfj90Vu2ueP4WNiixTXv vj+/IHw+9uvcwnPKwgMPa9Jzn8GF4Xundfhx8/qS8JP7z3/i5zGp/eeAIc2+ +awsLGsfbxFbVRAeb3Z/pdt9he47e5vd1jxbXhQ2WvRrySUrC8Jtev957YB7 NgU3PzN0r8Gp/ep+Rx+xqLRoS7Ch6F+BoSBsaOlJ6Jeu6fxeg8PWJ3c5Z8FX l6Tq08qma0j/mNcrb/jJ1DO19hsOteUzX2bK94Qtv9kjU/7H1nT5fHjbUrP7 TkPPnP5YvfA3W39D/bex/DHw56xDW55xaMtU+/eZcVOfGfXC4gdWXLm8Q5Vp 8kP/R1r8VRAutPw38D/TXob2am/by9BeY/6c1KjdYXGz37G91le2qheuvrL7 LnWp9r1i2ubylrWbg2nXHHTU9NQ68Pvcslv7DNkYDD6z5c+9UvN7s4bjWt79 6ubg+bld7zusYUre+/W0B5+6en1wWlpOi4c9G7xz4u+3bAwOaZRo1ijVvod3 rte8c73NwXZb3r6/Z+PqcOioxJcTGm8KRp/x10vLm6XWkcs+Sf1vfdBv171S nCgL20zucfvCbzcFlzbbbsDSdSXhwYMmL9mlYnPw021nH9T6mbLwxLwzXrzm 2/XB02Paf/V3/8LwjPDwd/d6YVPQ8q6XbhyZqucT5rQjf1q4Pji5Xb+vt9y8 yX17Ju9pOLbt5mBS++eb/jBzfdDW/p48IUMvu/PB0X2+WZcstN/gKZu+OTmT /nvl957yaqN65rZ/jzl+WB90teUzx2TKd6stvzkiU/5XO+fd/HvzUvPAGXse edbADcGOtv6G+h9q+WPgz5l5Cz857ohqU/3z3Qs6770xeGHsyV3amCrz8tnt Drr68PXBy5b/Bv5n2svQXj/Y9jK0174jnx7aaf+4OST/bfPU+vXBuX/cWPjy ytJwpyEv99x18LLghiZDvvi5V0l41No2zz/8worg1ns7rv+8Xlm47xGzDvzi vqXBOTte9/cH5YXh6vS8sSxY129mvUurU/3okWuPHVe0LLj7xzNTITYEc9Ln PcuCByxOgr+8ueM9LZtsTM75bMnQh0YvDTrY9MyqTHqZ/M3Rmfy/n1ZQOKhh uSns/8mNNX+vCIaeceeyl1eUmk/uGNuu0QvLglb3P/jQdWNKzLy5r2xze8e/ g3+mPXrOwhFVpvHZP7c7cODy4PrXFk096LKY6fDpit8XzFsRNC876uTLp1eb 1UeM3XfVqmVBz7ppy46ZXmX+7jZv8QmL/wm26f/9gW9cHjcDXt5vp22/SZV3 zRGfPTGvxkycMWD6hTNWBE8/PP6CcS0TZru31x18z/IVQbfhD7647ay46XRI /LC6E5en9tnjxwZXx01eg3XDrnpyabDHPhNGzNpcY25pnNf442FLgm9O3K9g ZKey8Jnv+57Xtuzn4MzWHzYyqXn+xuKl27Zu93NwwSHP7ZOXmuf3eOe9GSe2 nRysbnnm4r/uLwwvfr5PzQ9HzQqmTZk/sHdqHup/5ZSHvzzjt6DxOzdcY54p DPttPKxFt5opQYe3P2jSq9+m4N71ncc3ffyn4KWvu57UYnCqn172TMNXX5kS nGnpyU4Z+gSbnhmVSW+Vzc8ck8nviv33OvPcPwrMhJd2eK/zxm+Cdra85tVM eb+09TFtM/VZmN6Hl5pr/xz6XfmkycFDD71ydoNG1abJe/vPvt3MDB5P62Nj puC96y5/dMnPwcBflpz98Z7V5rShPw+8fdC0oPf5D7YcXl1lTkz9e8f08cG4 NRedvuXWhGlW//ap2/QLg9suuOmIPr0TZsmqnbY74+03U+Mxvb8L2d89ZtMP d7TpJ+FnC8vP5F+2fOEoW74k7THclj8JP5+2/Exea+sfvvxyuv5J2qO35U8S /tZZ/ibh/2DL3+Qzlp7Mv9zS4ec6y8/k7jY/My6TH+3xpW2PJPwckCnvObY+ 5pFMfWiPsbY9kt2rZi76Y348PHV9vHOrIf8kH7P9MSy2/TG5u+2P4d22PyYz /Tnc2fbn5BW2P4ddbX9OHvJkl7eHLqoOn5ta+/ob+y5N3mDHS7jejpfkdXZ8 hRfa8ZU8xI6vcKMdX8kRE3c86siCsvDjdzu9N/3BpckT7XgNN9nxmvzBju9w Zzu+k8Pt+A6n2fGdZH45184vSeafjXa+SH5q55NgoZ1Pkiva1b+xXf0lwQ7p 890VyWfHtTuvQfhX8Nkxvz47b9uVSeYfwjM/LbTzU3Kjzc90yOTH/LIsU953 bH3M95n6MF8db+erJPMJ/DnM8s/AP+anfe38lGS9bGnXyyTrZW+7Xiab2Pk6 PNLO18mVmfX4cju/J1mP59v5Pcn6udKun8n2dv0It7HrR/I5u36Eb9j1I3lw Zj1ubtebJOvpKXY9Tb5h16vwBbteJftk1uPWdj1Lsr4Osutr8iO7HoaP2fUw +XhmPW5v18sk6+00u966dZV1lnWXdZjf+Xay8ZMrM/FZf/tn8kva8ph3M+Vh vR2YKf9kWz9zaaZ+HTPrdXu7XidZb+EX6y38GmP5a+BvRn4xH9n1O8n6Sntl 2tfQvu1s+xra94XM+n2CXb+TyMfDrXxskI/HW/nYjLbyWdjUymfmWl/+Nsjf 51t5ziAvH23lZdPeyothLysvmkIrL4b7WnnRxH352yA/V1r52Txp5dNwPyuf mmd8+dsgT+9h5WlzXEbuPSEjByMXIycjX2+y8rXpbOXpoJGVpw3yeG8rbxvk bejra9Pxk9sX2/jI23yn2vKYgzPlQb7eM1P+c239zI6Z+iGfj7fyuUG+hl/I 1/BrsuWvgb+Z/Yop6JiW1w3yNO2VaV9D+35h29fQvvMy8vqdVl437LfvsPtt c4Hdj4Vz7X7M1Nr9WDjY7scM+/lKu58z7OcDu58z7L872P23Ce1+MTzT7hfN L3a/GF5n94uG/f0Mu9807O972f2mYT++rd2Pm5aZfWvrzD6Wff1nmX0v+/rq zL6X/flvdn9uJtn9c3iM3T8b9ve1dr9t2N/H7H7bsH/vZPfvhv19nd2vm1aW nuySobM/PzyT/gM2fzM/kz/7b75jbP3Mnpn6sZ/fze7nDftt+Md+G/6tt/w2 8Jv9fF+7nzfsr2lP9te0Z6b9De3P/n2D3b8b9GkjrT7N/Gz1PeGpVt9jDrP6 njD/trS+x6Cve8zqiwz6uuusvsjpndBDoXdCD4WeCr1VfavvCm+2+i5zutV3 hZ9ZfZdBf7ed1Y+ZjD4t3Nbq0wz6u55W32Y2npTWxwVtrT7OoM9rY/V1Bn0d dPRziUx66N+uzZQH/VuYKQ/6u72s/s5QT77Uky/6umOtvs6gT4O/6NPgb6Y9 DO2Bvm6p1deZpZcO+3n47dXhjtcuf+Wke+NmtdWnhh9YfaqZ99r6Wf17Vof7 fvbjkPdS+7ZFVl8b/mH1tSajrw3HWH2tEf2yOdfqg8MpVh9s0C//ZfXFZr/v bzvnjyZ/Bzf88NraNSm5en2fQ5Y2GjI72eTrvVMiRdzsefm4t5aeuiE5r92u xdcfGzfolydn0kN//LtfHjM6Ux7RPxv0xdRve6sfN/da/bgZ8/V3ux08ImFm dOh17YqBCS2fO/fZ6+gWM5pu5X8avKsNn7w2E/4Zq78L0N8N+fuuhY1GTQ3W zX+5yymlReH8LzofUPLqouTUBUUL1m5bECIfjrHyYdDa4uQDGbzd9oe/8PFT Nebc5IlVhxw3N/ntw1/tl/d8jfk/ZH0FeBXJ0jZxT47grgss7s4UsOji7u7u 7hbc3VncNThM4SzuEhwCBIItBEiAJN85qX47/z0/zz733MrM9PR0V1VXV71V HVU56tnf7Z8Y27yuTjtks1FUvcORkU9eGKHH3px5VjDpPCa0N0/Zn9/k/eYj eT+hP3cUDf/jVuk/Bf04uOhC3GPzWfOsjv9npVpdC6w9PvGcMSMof/FD963k e8Kt04sa543ijt3Dl3tWyiH3G7jfZfzIZbzIZTx13at9Q1eF+xhJdf03Kxpx nvtNgkbdue7DbT/dOLUyTYSuJ484DOKfiMOkbJIl39qbPtxT7tf1LI4meI+8 fCtS56MjP/TZwyonb2Xz1M/zjDc1LVljzYg8OR/EfH2l68MnXLtws9KyZ/q8 LTy/xWn+N/ltYj4Q51G0jiuVOvxtzVDvJD5TtB4X3I/5xPftle/T9SO+ZN5f 4tunED1++2W8dP74FkWPz/9zf7sdjvVc/Sr+Z8X/XPJP42bnHXZSv+wiH7iu 73N5Xs93xLrHfpN7xuv44CWhdb0IXMf9rtcRL55/++bmziPtOo6o9t+M/fez Ee3Plxxm55sxlTv9GX5L7893fE+8bqjr9E6u63j0eGlfjzNojOe0695zVs0M JLwP7bl/+J367MUI43qbKffvjPDgyC8D/84W+8C8NizHvYRvgfr7EQ81mybE TZyRdC7C+zx3zmVOZ9PzzXJd5yV/kOu6X1tn/pGwx9NOVR55vl2U9aFx+Mr0 rsN+2+jLgc9dkw+O0PwQu/xLS/dmFhoTOrjwlLlJ+Il0c1qMyH4O+ak2fpOl 8vM61ZPov8tl33L0gkXTRyo7Adx2nf/bYfHUHJYwm6Yr5zvz+79edvbo1Lbm mgNWLpX7h+e9lnZu1X9q7syfrJy/3sPex73s3GBZr/neS6yM9Rz9OTshe8Oy 1YI1DdzNmHSdtwz5Ztf5lZMeNc04+IuVr+z5tDNTySDdv6Dmvf756h2o6aH3 jrq1/cui+7co+M4/r4aGaBrtt5oTERlbxMq3bo0Y6tvWT78/cfgO+HEHz2Mt Mu2w67xTw4xdm6Otwy5pVH/78LS++n2pazwI7rveW9PDeqad3um8v34f2vuw sKBP7FMLV1L7D7wPdXOo6bIMxgCHfH16zeemuen2nv6++Wi6zUu3h/vvPsr9 tPwKCwer/SraQ/7L4vdd8092t3HzuIKrw+pEa7yUh6Wu78/P8RrX8FDiu0Y9 Fd/FevtS1lv2/O1XuPKKeB2fPyz90/VLjzTKmD9D7p86X7tUv1MDn33FOW7J GXVl8X3IP8J4ppHx0+0NlPHVdNrBgf0vtfPQeURoD9//x6qEYy12+ev3oa5D UzV/iKuDfxS/6PavCz9pOh/9iOo3zE+/T9d1U/NXovOndKNL6/wXBm4L/FpT 5Ee3Nyxdtfu7qyedZ+F3d9ngqJbBun08D3684TY9pvN3xzp5KOZWho52HpHq /vNR5W1J+eoK15V/zpPVPRZa+d/SLY/VPZrE14suV846snwSneHfKz/6Hbdo OnuLnf+GBCbJ1ZXtFd02LbG55KvbOCpFyglbTwdynkQ7zK6f//j7ys+Vs5Po So3NKeUzBmn6+ImooyeiAjTtXWXvo7dZLbp9/P3VVM9djW8EaPmakr7wLd4e zBVtLXs1+Omj70tln3u62HhvTRdzwuIH++v2ToVVHt+orZu+vufX3Cr7tnrq 65CXuKALT8f+DuKVp3t8yn0zzuXc6N9mJqcbb0oQJxzf1qbH12e63g/0cKjo fz4t7yO8D3VO8Dz4G9+j+q/v/0u+T9MrX1dYW+GLu857A3+jv8dkPPX9VWS8 NT3ECYfP5qefzyjzra9fEv7Q9GLhD023a+CzsV2REP18qaan6r9IGaxp8Cfm C7gT6HHFH7o9xR+abnDmw8QfmW26PfAv+At8/fv2/IASb3y55vo/zZ1TkvSm 2erYo8v+SfSCXlu7bJ5i0XSPLNcrViyfpKeTD+g4/MFFm6Z/RH8fcOiGXd9/ JOdK7/Htk+h0bXfXWHItSNP/tfYvWXJDoKaLZPBeOKFngKb93bM/9m1t0e0f 7bChWYntIZrGd+8YfLdKxoc+XPF7B+N7Bx/9/NmIKjlzvPDS9OJ1Oe5f80qS g8bftvnmP+qnadwXOGb1xx9vk+ojnO1X6Owyx36iUd58HQtOcNf3tc5inXJx ZjJNzyg0NiZfey/dHuRhyNjZdaZl8Oayxbb+dBvyw6Xez2/Ta+rF3xMmeHHt Ps6EqSjzdrpsSyI/+XNuoY0Liq4oz+v6hcA1oX/NpT+E69Wkv5ousSTLoKLp f+n6DJAnvJ9lvPT9lWU8Ne3pefyfBgc9dF4s5AffV0DmT9+fQeZb09Ey35r+ J9eIC69b+er2oP/fjpbxRz4k+JWFP/XzC4U/NV1L+FnTQ7yelVkzL1i3D/kC vyh+1fcrftV0kylHP2ZpZNPPTyv8OLTwY6umb5R+nMG+LclOWHX53ITy+ZPo +2kv95qw3aLp52UmXCh/35ZUz6LN6qYtP9v19TdzK0flGJdEx1wefK3njyS9 erFR7vafTgVouuHdR3+dvRSi2xu3492s1Bd99PXlvL7+k9pJfJix9YrQWc/9 9P34zqbrvrfJ9cJN/73OmBpxub958OhXG640zOymn8fv3/H9+95/nIynf+hW INQjVtcj1OceRzoT15PxXLlu6OcUv6L9sdI+6e/3WVBt+55fGl8I/kR7y+R7 9P0T5Hs17Xm69513UR46jxf8if5ekPHT9/+S8dX07f6ndgyd7Kuf1+d4qPF5 IPOp778l86/p1TL/ml72YueTDfuCdXvQ58CDqPlP+n6Zf00fCurg+M+mn486 OLFexqikc8P/nNOq/JYNVj3uP7JUXX87VxJ9+lnmhU82WjQ9O8x/v1HUru3W kj6ro+6yTdNDy5zfPDXKru8v07tXmQYjk+iSq1uXHfkuaR3POSXyY8OwAE1/ 7jfpePn6Ft1eaKWuadctCNE09PUhZzpw5VhzUe/hg7O+9dfXwY+jtxzx/tX/ m67zFdOndNzXS7/Mwlv7nK/k56bfZ37v0m5xOS/9/IQDrV+kPxujz6s5vaVo xKMuCbp+yVS5rv0F4Ee0X1TaJ1z/2ap12ITtP3V9k+3ZmpTymeOh895zyPfr +0vL+Gg6TZms7dKv9NP3g59ebZbvOyPzo+/PK/Op6RiZT01v+5S/zNdhwbo9 6DOMJ/grcrzsU9R8kst8anpkw4jnR2rYdHu1z3zIt2FUEg6Yn+Trv/tsEKe/ Gt4idMQHc9zcL22PFkk6R7P6vOYHruz00nSRi/WLbyzrr/1EKSe3Sz25naem 8Z7SUTe/89zP5oef0QWnHfyu/TPx065sD/aNM//3nJ/vBu7/Kvdr/00leb/G 8U6Q/mn6Q47BVzevc9d5HdifrGrQ7cLhax/NLQt292k3KgkHnFhOpVLSOUI3 73aZe25z0jmZKV+lf3fmta9u72LODet93JPOte6xN8PN1BOT6lavamn0yB2Y RI+9krpzq37+2p8ysea0VBfWe2q65NH22W+cjNP46Mx3wou9jnLX+Og/ggpW GJPRT9NYHwMvHGrWtf4t8+6i0EKtsyX5/bZtHHSs1FqLpse9etzaWJN0/f7s y+c7FAjR7e1eEDowwhas6bFyf1K+jbSv6a3SvqZ7Tsi23T/Gpv12N3MMWtko wKJp8If2Cyr+AI35B4350/er8Qf9bXWKwPoO+flr4bFKIXNMY8qNXfWaZbFQ /8nl4oeuPmIc7PH7Td6cVo0Px3zheehD8Bn0oa7vIvOvcfAbhV80TcIvmob+ w/PQf6Ch/06IvBqQJzwPeQIN/YjnoR8nin40oP9wHfKkzx9W+g/XIT+4Dv2G 65AnXIc8gYb+w/2QH1yH/ICG/ICGPtT1d5Q+jBJ9aEC/4Tr0G8YL+grXsZ/J lqx5+ul+cQbWQ9gNWA9BYz0EDXsM6wD8DB9FfxpYD3E/1kPQWA9BYz0EDfsM 7cP+Ao35bC72BWF9w/OwA/4S+4WwvuE69HhTsY/IXfKLzLqSX2Qg3wg0/Oc4 rw3rIdrD+gca9hj6i7/jfbC3cB32FvqL9RHPYX0EDXsLz4Mf8qrxgH7D/GK9 xPNYL0FjvQQN+wvtYz10mU9Nw97C/bC3QIPfYhbevRvS3pNg/+O7Yf+Dhv0P Gvtn+C2wfwYN/gN+AfsDPI/9AWjsD0BjfwAa+2e0j/0zaOijXbIfIuwf8Dz2 D6Cxf8bz2D+DBj8Hy/6ZsH/A89gf437wdxfZPxL2E7gf/P16SuL+NKneTrk3 E9v4eRDiR6jfi/0Gnsf+AjT2v3g/5h3tY3+B+7G/AI39L57H39F/7C/wd+wv QGO/i+fB7+9lv6v5HfyF/Qaex34DNPYbeh+u9rtoH/oT84v9hgs/aRr7XTyP /S5o+IvQb/iLQMNfBBr+T9hd8H+Chv/zo/inCP4jPA//kW5P+bVWzuuz8/I3 P4I/CdfhTwINfxJo+EfxfvD/W/G36X193f7tbfmyBxD8SXge/iTQ8I+iPfiH cB3+IdDwl+J+va8W/6O2wzsvbLUueVZ/gr8Iz8OfiuchH1nEH0qIx6J+P+Kt oLFuon34k9A+/Eeg4T8CDXnB+8AXGC/4j3A//Ee6/8r/iv6D7/D9+DvmF/4k PA9/Emj4k0DDP4t24C/CdfiLQMNfBBr+WTwP/yxoyBP4Bf4jF37VNPyxeB7+ WPA71pMW1qsJ4wIshPgC3oP4AmjEF0AjXgi9gXjh/9Z3s3FBiV/o9QV4F8Qb 0B7iDaARb9DnS6t4A2jE//A+xP9AQ75aS7yFEG/A84g3gEY8D89jPfko8SDt 92hY9efsejdCCPEIPI/4HZ6HfN2T+BVlknibCXwL8i0bSjxOr/NoH/EHPd4q /ob2EW/AdcQbQCOehvvB7+gP4g26PoGKN4BGfAzPg69eqPHA38E/iEfgecQj QCMeARrxMbSDv2O+EG9w4Q9NI16G54dK/E3HHT6eSZl9378WTW/pWbJ9uN3G a3K8f33QYicVf+MdEn8jxJtxP+LNoItLPFDtl5Nr/lLxQEK8GPcjXgw6n8Qv 9fPgLxV/1vz1MOrDsaXhNkJ8GM+Xl3irft4lnkypJX6r/TDYR8+4ndO700sr tZX4sK4XAX7D+xDvxfXkCveM9hC/xXXEb3X/lN2I+13iwRhPfT/isaCvSHxe P+8S39Xz3CN/9xYFY2yE+CueTy94B01HCt5B09A7aP+84BE07RLfpfVRD1tW 7m2njRurva95wEoK70BtBO8AvIV+PtuJXG/T/nTsB9Uv/Bwyz0l+C9BoD/iJ AoKfIOAnXjcstiC+W7Sx8Ov23tXOu3OKvPcaLz7w1Wi262nKv5L9NKN87po5 I74aDV7OyOexPNZssH5b5n5DrdofNmLXkfpPYpPO/a5rbn58eEgS/cfpwbv/ TrDy2uie/5Xc88H8mX3Ordljrew9+335kt0+mQ++P3zf1NN5Xv2sgZ9qRJm9 +1XZMv1xoP6uEUc2Of4L0LRP6p72TyHBHPxxxYfW4efNDdfc5vW1BHONAScW dbx91qHnGizcOzlG43CMdcWaryv2xXiee3H/3ItvmuFDXn2tlMrGncdvPsnT nxiXBO/GwLttFbwbA++G9jCuqSulaxLn8cX4UvDAxzTNwo1sltxm4TQW8j0c f+VFssfG6L/s0wY8t2u8TcDN21WvV7ZTZFj+uzu/fDUyzQ2/lddBX691JPZJ SLRx+N6d5VuLJ9VnEfvMyq/CnxTuudNOm1qWOZUvt13H0QsMyPfz23IrB/y5 /M52Pzsvu0MDKjv0y+AZO2v/7mDndNevzCs4EvFKK4/Ok7zgyMl2ttRtdWrN NRsDb/dU8HMMvN00wdsx8HZFBW+n/S7Af4DPS8f86TXrt43zPTp24/SQpHPo N0t/9brcjX6u+u1hp67yy6uav08dlNZOaeyfVrY9aePoXtOLBq6y0lf55ckL RmfKn9ohV1VK1t7hoLN1PjO+y007uXwP4XtCelXfXmuvnYoceHh90V82XuCe f9uIE3bK2mNHwJf0NuaXRxuMGXvGnHGkYdenzS38WWgDdPOUl9Jn2hxtDskw 7d7aoQF8OWHy1rqzzhu1HKvIjm1+3FauG7j+TOTFhLwcE/ylAfzlK5EXE/LS qluzfrUc312pX60Je6Mem1sEb8X5BW9lTq9YLGa4gx/L3ts2su6UJ2aW2EaL h6excaPsE0+UORZufs2c5867hTZdXwJ4zZqC1zSBz3wq/GoCv3lL+Nn0r19k 56m+dvKKH5RrQrsX5vSlK36ccejJL7et5TKufmoGh41veyjORt2Cm977Oual OdiSfXnKDVbqfvaTMc3C5u2XN4YvXWel9FsDS367c8V0Vo/smclhV4RWrP7X wWPmILmfl8n9xi25n2vK/YZ6P1vl/YZ6P/vfSXy/ESTv50HyfiNavlf7M6fe MxfeyGCjn5u6zn+b85pxeECfodfS22h70PKV9c7eNC7nLrUvxM9Oa86FL/F7 ctVYFJsyWbCvnX4fPzTf8+JNA/PRTObD+Cp4Su1fAm5ul+ApDeg73H9Xzfd8 mW/CfMfJfNMjpT9xHfw0QviFwE91hZ8I+DYvwbcR8GwNRR9D/zP0/ySRB34r 8kAp3o280cChDyCHkLMyIo+UV+QR5w/T8cFLPxb+f875dtEHpOSHi4r8kJIf zibyQx7BXUeWtf5rzDXTpx9cwk6QV/xCXtE/pa/0etjlZdUMKUba9HlUhUR/ kdJftFz0Fyn9RWtv0ObPx7Qdr5+DPkS7+N631oK1zr/X+odc9BGtlvagX9lF v2q9Cn0WKe3p85tdxpPvH0/Ujyb0I/DI0KcNIht+WnPHRidPB7QaOcOucZkf BT+r8T+gcR14YPg3UT8J/Ip9MO4H/hd4Xhd8r7YDgB8Gv+P94He091Ler9ct 0MBr3Bd8ho7zXC2eqcuZiwH0LW3bmPlbP+v9++rTkU1bjD+laZw/1Dum4IGo M34EvMdl1R7eB3yxGj9W40fdDz7qnVDbxlV616hx4JidXPS/6/2a772r/lrk Ns3O7g+GjMlE+pxsfa53dMdsqzpXSTqnW91P6n6cc00u6xW5zC+5PM8uz7P7 3p7jtkQp/NIHx3qVev/A0eEOPi8b570um50zbozqVeaFnY5ZxvcaEZDEL8CH ZQquN9jT8feQUgG/gyy7zKfnhtY7uyHpHMfMcp2uyXVj8Jrrd0t1320kG1G9 0M6RQXSly8rChxvdMF75pQ1LqBhEkYHOeuM3jNf7AqbUqhxEz//JUDNbwxvm WPd3/QpXCiKjdrXBw71vmMlXfFjcznE9mfRfj1uw9J9V/ym99J9Z+k8u408u 4099tn19sbfrQ2NB0yV9loXFGWHSP/Ol9I/xfpu8n2Olf8Yo6R83kesGrtep 2PLqsb7HzJJ5vAKuDQrilPL9ZvzwxO9njAdorC9YT4HfBr4b44nxrjNs0cqh I5Lqq2E9xvqE+cH4Ay8OPLh6Xt+PfA2sH7XFvtQ4ddCQ3xNPfjw7/DLC7NIp TYGWyQN51pM4S6WOT80TXXMXXNHSk2tGHVod+PCBPg8zfd3SD9/eemS+THYn ZVFfv6Q46LFKxV7X86NDD/2C/p74WZ9793lq74502q7t9X3Hkv/wa5hER2ZN mBj/0srnb88qWSlrtBl9ZvrzZ+0c63mVUVs7X44y+6ef6OPXxs5Zfbtf7Vnh gznw1sjD47onneOk7GHN14cEX86vBV9uzl5cK/uXwXbuvTLrvSqHHpi9bGEL T8UE8Zxqdb+EVnhu/rOo0bZesUF88f3w79X8n5vREg/liAWJ8VBzVe6y9w+v t3Dc2S11rxy9Yh6QeKi2l3rfWbJ1VHqL3j8cEfuB+4n9YLpVHBHW4x8r19h7 f02tv2+ZWT7ePhSdKake30jZ3+j4Xj3Z32h6R7Hfw2oPs2r6nYwXXZHxMhbG jW9tmWGl5Beutmud6p3xbf7OEus8bVQxVWyGldWijF+yHyKb7IeMobLf0fj8 vrIfSqLlezTdR8aLVsh4GetlvOiujJfh9rH90k7rLDTgV+i9cWNvGTu+r2hz 36E/xkwqs3rbxa1GZPJbYc8d9lyfy2+PJ6TfY7jLeFB7GQ+jddGcH7+nt+r5 q/vqzuf1gUl5Msap2xXLrLbynzmq/FiwKtycVdMj54gQG8cOXlHMvcwrzC9N lvk1Ola6kf35NbvOG7Ec7Rb74rydZo2+lD/jX5+NdP8WzfP6sp3+Tvb+Yqo8 H409798WXTgsKc8k+a/RUZc7WTjNpyPmpkzRpuz7g3hUnUtnxqX5Zt5JcyTr 1dlBvLnIwMorMn0173yMedJ9YTBvevzf8Tt/fjPTJPp1LZxXrWtLr3d6P2Wi hUNSNdj+oNoHMz75vuOB85Lq0ZW70r7ni5RJ6/T1F16F2lotvKJwhxVVfSLM xcOr1R/ioGdP39OrX+xL88WmZO36rLFw9tH+lu/e4eazQ9vSPHv50Mizl8IK ZLBoewx2SLWi+d09psYY5392HrLTYQcfkf2g9mOCD59MCrttcXz3y9ynShxb aGV7HeuJ5zsizPrtvBo2dtjfvs/TtByXms3tMr9sTkycX/O+xENNxEPxXdmb hx9dFeBBuyS+ZCK+dOyfZlVe/nimzwPH+ox8FeD94SeBvsV6g/7mKlD03MSx QYT9G+w4tDfr1Prj18ZY+fH0mILzezn2Xe0rTqrcO8qcFtfpR0S7AM71ffHj +aEfzCEHJ16stDrpHMhn2Y5WfzvKwovnLkrWxFk/NNP1YTsd81Xz2OuvebPb aWc9W6PB3lZtBwRO7dI+truVG6WbsW367KR9KH5XyvrO2I96zJ8RnS7cxgsP 3plM2WxYv1mv38pedtlvMvabfT5uexGwLMmuhB1wdOjZZs/72vhWUKI9bc4R e1rb5clzvPcKbWTjNRlKvC6a3EZbBn5o38pi55YZt63I9IeN/o1t5//rkW6f XNontH9J9kPcV/ZD5kLZD3GE7IfMtyLv/EbJO+7H/gn3Y//U5X/Hi3qp74Md 7vJ9lG5K3Mec4Tbasb3KuJrZbNRV7DeqJPabPt+yh9iDDP6T70k6r/Xbrgyx jv80/yIfTtc9VPansk8I9gn8AS77GcJ+RvWfXPqP8aPsXSqszubYr/aM7RQZ ltwxj0IT6Gz/e13bdcqepGz/ez+F/K+9BHuPYe91vHWwX9ozdt7Z6dGR7V3t 3DhfmzMdribZpYk/Dn0xJk9M1izl7Lw0cO6BVHns5BNZNfvX55pmRcM+Ixf7 jGCfqfeReh+p92m7Tb2P1Ptc7+eo8/vHt0u6n13u52jvATnGtj5o4nx3zPeU 9DPvl+ztxQ19Eq/r899xniWuY90uElNhkNkpiFqXrbDue5vr+vxql/Ei1R92 6T/GS/sRCkl7PFjaU/mZQQx/AeSjxY+dxzdVO6jPl0f/O0v/KPXz/on9x3X0 H9eVf48vin/PfO15OvUmvxB+uqHg9vx/vzJjXgXXNNJYuE7Kliu2uT02j2x4 2fi8gz40ZmRCp7SPtHyGinyaddPeKz4uOsm+uFZibFizaBs9uJV15Zlxb40R 2748vBlpo7stFj5dVOWTcTTrui3WeUnn9mwS/ygNF/+oEdax78la+UL0uIzr 1qLFn5kstHXGvEejG183Ol+J9lmR0UJN79Ycw29vGF1XlszsliFJbz+X9Y08 ZX0zusVl6RG3Nske6T1t6n83lyXZC2aFjzMmhdkJ58H3fxGwLoVppwm+346V yfXF2HiNT5c56thnlfcI+fT+i1Hz0YqtLzrZ9bnr+54ePzPjY9L6Dzkv3aZ1 uaE/3xspini97e1r1etDq8j6/tlnWLlextr8K9U78/CP4pMOzLTy2gwJlXJW f2u2/tig4rVFNs139z+uflHb3+ZYlxOSD6kfaVxptSnu7zE2/X6s0ylEP+v5 bvlufJ2tFey6nSF//Cro+SbBOFMorFhooeVG9Kz9a0LHBHGu5U57da0Rllh3 PcHo/7H80bH3txvVnWUcohOMIg09raXTBHDOkdR3d8pobd8C7zdZ8H4MvB/s 3XznEu1d42XXIpe8Nlm0nXCj3rDs/kssfOrmtV5p91hpZsS0A1MzWbj78pi5 NNNKdbfVnvhknOP59sfaLPxkpY7lW3jWqpwUvzp6oVLCzt0W9mrRtVoFxz4X /I/v2+j9V73JjQIZ5zrvFX7ScuuRe8D+7AFWva4dDk/b5etzCy+cO6Xi1jo2 KjUmwGOX43sqRc5M/d1tn/b3g3/g7wcN/z74F+8D/7rUr9X9+vMfn6nPvtt5 QMQWt9GVfhjQVy7xJs03NVY5z9mINsGn+yucmPCwSax5WORJr0t3BE+qx3un 4Ek1rfKJtR2E+Hd2wa8aK5bv3f9znVX3v1u+FWn/yJlEN3/U9HCGDRZNq/2U lmf0t67010B/j0h/jYKcWA9Y475xf7FbTU98CHVz9YeRS71kLadq/HT9BtTD pUJVNy7e4dhn3zn4cq2njVG/4eX/1tvlw6rebmvnNr+SH18vcqFwjtZWRv0G VW+B6yTiJ9w5szM888XKiF8jXzSDxCdMxCeK5XP+e2ls3OD418nKBw94vnp7 0JvWfdhYJnSs433O8uaHvWiws5ywm407+6RMtnaXJ/1aWODf9iOtPPrBxWdG IYddO3fn+DPtbLx6SbZblxoH0NPP4SOmRVv5nrNc1gB/+l278aV0E6yMeg6o d/zUGQB7bqHD/rbQe7Vt7DzNaOY4CzV7kvrkX58cdnexS/l2O/Tn0vcl/bo4 9ND9sLhKUYNC6NzcnqO257Iy6pegXi3ql6Be7dmEhbGFq1s54uG04YOyh/Cd 9Ofej/hh5VNr/1zw8nyQznfGL+qX4Pfg17jbQ7sFcfVA9zyhi4I5XcUJWYqm DuFXx0c+ufQmkFHPZJCq34t6Jqaq35vZ6ZY748v9HOqp6MQg1AdmVX+EBzrP D9rtxol1qZ4HM+qZoL6wf55/Sr71TEbL6kRdDKodzCkqhoYHN4wzlp+dkZDn ayCvveFZsscqbzqddnHL/QVDeE7iPy/a+yBr2IOswWx1uqcGelIRZzkf7yDO 9sahL1MHUuK8fA3m27vChmUuEkBTMswtOCs4mGc5pLlfRX+qmKvZ+KcZgjiv dfzy6XcstGZ/rrFbrgVzswNhITf6Wehn/OyuRX2DeWNvPnvcz0ILnAeTlgxC vWZCvebsT6c3sSU47LhBk6Y97BHCPnRlzYONdnpb3DdD96PB/NZZj762nZyn bMX4B3OqanV/p/5qI7+qwbcjGwRxvk5pXjRdbKOi49as7roikFHPCPVlUc8I 9WXfTQ1c/2OTY//shAvs9uVxVT6YdR37it9OM2OID6N+Eerdon4R6t3GPhzv y9sDeUm1c1M7rvDj/s76cFUd83i7Qobbbr6MekX4jXT2f6cPl908ofTml76M ekRlVT3fU99XZW01yYO/Os/9aezD9R3T0PhSjLm61oYsb074MuoNtVb1hPtk bX5nCiejuT3ex95w9M/jdMHA07vjjfVbHf/e+TDqD0Wo+sSJ8/qHN71xnsPj 5scvss05cj6ZFy2a26NfsUc+jHpEWVX94679ojbm2h1AOz0sn4/c9uUWifLt T2tvzhmw+rEPB1681afgET+q3zLm0Kkn3ox6RKi/fCLl3AfvQ6zUKGL2rDmO /jZ6HXhryyYLTZgQOs7/uC97J0wtVbichV7tH1c7XaQPF3ceL7Q6hIIHhtOm IB/UgybUg96bzXbuxgM73cj6MHZ0dz8+Rw+3WUfbKbZlr7Pxe3253NiV/fZl tlPkw//qVozxEX1x0kZ5JiScSV/Kh1HfDPVnp+T7MLbxv1Ye82/vOUMOuHOT fXO39iho5RfHc5SrFenB6Zzz2MzGzZz1/ha6MeqboR4u6puhHm6AQy09sQdx mhIBtbqP9mDv+h/WRk0O5gw/1o9vFeA8N0vqm+VS9Xe7Ob52STZfruUb5VDp 7ox6ZvhdN3retq8vPHi9fd7KVRXcGPXLUA/4QeJxSr/MXs7jlN67MeqVpZR6 ZZzGmf+QxY2ufC177etvR3tzeGhExQTD+0CZr09HujPqlxVQ9YlPhsctHN3b m3x6ZX1qcfRvcea/3uUs5UWP93YtcqSVO6OeWWpV77i7x8ri198GUMUjDoXc xIPzfa91cfYbf/LacXRDlUbunCXMqVj8KLZH1fgeVd0Y9cxQX/lNxKpvV00L ldoQ3XRYcQ9u0fT7P6XqWSjLjHX7ajdz557OY2mOh9DdxHXBDfWdCfWdUd8M 9Z0T1fAXO010Hq/2yoPb/1tg0e95djozr03e2BwePNN57l1hO6Vx6tmO7uw8 Bef4VRsN6JVwffhKN0Y9RNSvved1ZuPNQ1aOHJ58Z9UKP82/K10dNTi3ldM5 z28b/duMWDgrzb+OdXJf6XcvemWIMVEPEfV0UQ8R9XSHXc5XaenPQB5WscWb zSd/mZkzzaevDYM578o576MDY03UN5yp6v0m2oX9HXySCAP4YaKeIX63vB53 OeRJrJnvelTwptmxJuoXflT1hksmXEmVO8SN4rK+Ojm4y28z3bedo3dciTc2 pYmx3EwZa6JeYVtV33j30tLVi9wOoCLOz0n5y3Qf5FBo7E/3nXrrY4yJ+oSo n7z+Xdr3l8IsNG1rj90F7v00g8p6Hn9MFsr32RI92CPWLL2izs5qc0KoR8nV Ledm/oH6zYT6zahXiPrN6VPnm7/xg53mbqnS72W132bV42193k913F8+RcXY wz/NvFOSXV6W3U63ui1ouD97rJkYRjtmo2JOfTrhh+m/+sr7AQ69El94/azJ HT6aMYOKpTxb3odPjus77WWrz2ayweeuVLzlyx2dfNvtnYn6nqgXjPqcDVS9 4TpFuh5YetWLXpYeOed2io/mJGc6UVNPOuKUp7KRJup1XpR6nWZe5/khYxz2 jbMuXvxn08s5fm0DyM2pR8Z9MCunrtplZWF/cm+XfuWgi5Fm52RlXnZeG2Oe q+wUoGvm7QI59z/LYKGWOe/WSdPjutm10O4VHbM59hGO3cK8C3fN8k57bZ2F wps5gTVXzDXevW6Vymwh6+VpvZY2OWJOl3q4TFIP1/j93r19g9ggJudxmX7P jUfOc2fCA3m08/y1DA+MY2dLT5/nE8IVtoQMflTxlVGkWb4+M9rGmCcS44OP DNTfba/q1950fEaFlQHUPXG8nxifg7bP3FTZn06s8y5Rbk2E8V7qjzLqj86O bn4y56wgzvI2bHyd9F+NrtmfLW8y32FHVHMW7PyG+qZMqr5ps+Pnxo3I7cNz C/16soP/M/68tr9iwzWOdavRvbZtdn43TiTqJ19u2bObz/4a0QbqQaO+ajXH 7uqg9Zf5bHPO5I+afzNQ//mXqud6YW3lA19HOfSd87i2p18N1H/2V/VhUf/5 lKoPm6Z18mFnhgdS166Z1yxv8J8xPe7+7LjUATTRiWdKFW2g/jPq06L+M+rT DnC6u79ZaEsWhyH17D/jpPP8zU4W6nvh8LX8maONTAur/jN2aQiV2JMzd/iE 78ZKVe8c9Tp79j3QZvJCh5198sHoNI3jDbfrL5rWdNixfjS9Q6G1v42aAX0e lOpm4+Upn+wdcDMZvQx/d/N7Mhv/G3Znwwe3ZJRC1T9H/dCYarnzj3wUxFcT xz/B2JK4jgdyoZZOCzbOyH+94OgrDrtt5bY3UZsnJ6NENp/tziNXvRm2qkuC 0ePb1JstPnvwwdCd6T4md6MKqo4qfjdN3N27Xlwy6utMO3n22xii6pMXV/Vc Izo5VuKJAbQrpG2XR9vjjaDXGycdfO9HO0OLFjrwMRkVVvXJUS82pa9jIZpj oR/9+popnscbn1O0+S/F0xAqWcTxb18yUvVqCfVqUY8c9WqzRQcfmxlpp+VD Gxe1ff5tfD90qnWmbnaq3Sl0y6UP8cb1KotX2SNsFL0obaO4sY7xU+cJoD7m zj8HTH67wMpXCq4cvvOZJ1X9+XHMxrxWjr+2oFcuiyfZx5wa3aeNjRc/KNPj yCBvKp/9+5f9v6z8Mdu6BpV3etEjdb4A6nVOTdTrQZx4/FMlL9o88e3XzBGB PLlMk2v36nlS4jFsx4O5mkNc//3Tm3DeAKt6oQFO+3yBDzdxqs1DnhQduv1b 6HaH/KS9UT7tDS+aUz69w9Jw5xrbf+ywtfaik93uBve75MEj7u05+2SjN9nU +QJDVL1Tp1qqkMGNhiXWNdbnCujfLE59FuJNywasbkWXPQnnCeRU9ViHbH4b umx0AO1bs3nFTrsXNfr07l74MT+63WxTzd53vMn+v+cJUJHgR3/3mmmhAr5z f1bP70VN+jc9cv9ECNHez/f+nuaNerM4P4BwfgDqzTq03Rpvx/qQu9kM80sO h127d0zNNJ3tVGZZsi5XinhRWaf+um+j6U57ubY34XwR1LMcc7TliaqOfeyT fDmbVskYQNvbzik8c6CVSw6dRTca+1PNAi3S/C5h4yEpsgfvehxAOF8E9TTj neeBTg7iGs752epP+zpna3RvTSAnxFRd1e2sH3HZatXfUwgHXus5b3SnQHr1 a02ZoZ2DudCssxP9pwcQzhtBfc/0zmlzrE93nT9p/SnUae//7ccVHNN85o9A ym/vvGBYTV+OHFvh7zc5A2h+IWNon+rPjcbO4zCnOvZl6vyQ86oe6YDEfUKC 4X7eoe9++RPOEymq6pviPJEQVd80i9MMKuZFfo7tZkTLAML5IfjF+SH4LZN9 yIZpj/2pVbKb75f2CCCcF4L6rTgvBPVb39zev2+tm5WKNV605NhvP2roTIuu 7VjfnMtM+wDUkyWXerKEerLnnOv7GTtF5DnxIk9+f+pQNfuMdUXstLVm70YL 6gRQ4SsXwg45+COoQg737uMCCecBoR5m4nwutnL/oR/KVf7TQs7lsFtJK2d3 fvfCEPJpvetD/vo2zrepgm1ohIXSjxh6q/d3K1c84x9zcIqFcF4Q6nNGTArv VeyWQ3/GNp9Xr4mF/CoXaXsyJpBP7Q1OVeB2CPX5w777zIZgTl5jSJGlbCGc J5RZ1QO9/8SxIVnjw8mciXlpLBTnPG5shh/Pcxqujn1S6rZr2v1e5surG6Y5 /c8iCz0vOyf25AiHnbr7feUB7S00qNqDmu+ru7F/on0eQuYLx8As9+CtzuX4 i4Vw/lBVVc8U5w0NVPVPM7UeUWdufm8q67A6qgdZCOcL2VX91FKJ63oAvXKO d3mHHafqsOL3ZtodN9I65Pd1/fyv6jvmcV2Tf1c9GR1CbxzWZXw6K+q/Euq/ 4rwg1H/9FVY8pGO8Yz9fI9nxj31D6N8yD0sO62SnjasfFm3vsPtLO99/2mHP OfX7Vwu99X2QOexuEPtsCcs6pqid0m6+bi/gHcRrhhZKX/ayjXrV7/uue5cQ /rfWOJ/w33Y6v+LezW+rg9mhhUdkWmonnIcVpeqFvikXWKzMNh8ut2frywI/ bdTXsXo8G+XH49dOOT/+pZ2cy/TYJb4c7rT7+zr0TKI9584p4hyCb9jJN9Ge c+NJzo7uttGsRPvGg6sN3/HMft5OLvXXUB+V3qn6qEMH3s09v4U3nT2bvEfx mzbC+Vn/qvqq7o7XzpkfQAed+wCrnVzOyyKcl3VKzsui93XKhPeYa6Hx00fM 75PDjvqP+ndoLnOqx6GHZtMhLY/MW+7J1lvepXuteWoUrOHYcDby5OjEef5s XHWuq20+mg8Fn03AZ/962b9djTQ2+nmjftuSh8MNz6WZjh2cYaPK1tlePjHP jNibie2ZRaU9el/iZ9c3Xx6audwHlHhv96OADo4N2LH75s4TGUJylPWjknO9 to56+8jcPOptz2OpLFT3g0Mg3z40Xzjd8ukt2m87TfIZuEbDuJ4fhiTVz1T0 /3ce51OJz+vn1Xl0dGtolkcvHh8yOgfuP562gp1d8Pz8d8Omkxo1PW5Udvzv pDsJhkt9Rcoh58dp/zLwTqUF70SjEh2YZ8zB9UaVydg9iHbJdQN4qB1y3Rgo 1/nUviJszWThFpFBs32bXjerzPIcMymjhdtHVPvcJPKGebvVhC731yTlFeQS /D7tEPy+Uf1X2pQXhtgo4FDNJfU6fzBir3DonO9WmY9Dn41Uf4/eE+HQd1KX 8KXZv+82OrbUyndSjK098MtzM/xp9jPrv9qoXba++2q8fmtcylR6+zIH3+12 K7Dqz+nvdd2LrytXbzuV2875ft2a9b35ZxP+exf/tK4jgPszy/3a31+hztvj pct813VWuj/JZ/b6HK3rdCBeAH9/peX7Si3f91bXQ0Hcac9KiQ+MHfi4WbUR Sef9DZLzO/W8q+s6vob3AUeP98Ffj/fhOt53UN5noP/w5+s6r5ZW93/GxRtf G886OuTxZ/NpYqAqwXCJf5DLeJLLeJLL+JHL+JGbnOfM6jxnbi7nObM6z5mj RP5ZyT+7nE/NLvqToT9Xi/5kF/3JLvqTK3c/uTjjYgvXPBL602uvw24S/zvD /z5a/O8M//tx8b8z/O93xP/O8L9nlPOrOU7Or2aW86v5qpxfzQGi/8S/bbWz i75mF33NLvqaLwzsFbNpTQAP/u0s6GDlkRJv4Loq3rBW4g38QsUbwiXewAkq 3pBfzt/mY3L+No+U87e5g5y/zWNEf7Mp+ptdzv9mrBfJZb1grBcTZb1gl/WC q3zouqtyR28ed/NxzT/aWjlM4imMeEpbiafwMBVP6SLxFI5T8ZRHcn44X5Tz w3m09Ic6q/6o91EV9b5s0j+yqP75S/9oguqfy/nj7HL+OGP9OqO+f+v0vk/r TXWnmFk1kn+5a+XJ/v9dbtbOjTpf9Q/4XtHKuSS+RMVUfKmXzB+NUfOXVeaP Hqj5eyfzTZhvl/PO2eW8c3ZZL3l58km1f+7yoSOdYhfcn2XlBhL/onsq/lVb 5IMgH32F/wn8f1H4n8D/USI/BPnJIPJDkB+X89bZ5bx1dlmfeebKYjFjHwfR yLLfC+e/aOWCz08Oy+IbRLVaHxswuo3D7pT4HiG+p86n5z1yPj2r8+n5s5xP z6XEXuKiYi+xsq/4tdhXrOwr3iD2FW8/tenop2ZWft1u7d2inxxyrezjvmIf M+zjLGIfM+zjvGIfM+zjCmIf8+m7U6s2fG3nVctHL1xzNpDzpaxRvml9xzim j9+05EMQ4jnsEs9hl3gOu8RzGPGcvBLPYcRztqYP3dbsqUX/Ttt8uIFTH+J3 jdij/FrsUb4h9iq/EnuVvYNe3vu9IoibFhzZp+RqC8OevyL2PMOeZ7HnGfa8 Xex5rlJ5TZlKgyyc++Uy483nIM4j8S5GvKupxLsY8a4NEu9ixLv8s3kHpskf yGXHPCk7/IuF8/3jF1+3dgBfKf+s2KLxFq4o9jc/EfubsV+ItyfuFxj7hbmy X2DsF1bJfoFXLav2qnilAN7642GHFs+DRL5SB4qe+xrM9yR+x7NV/G6exO+4 horfhey7ffRnmDd/K+rcYFp5wJINT+7s8uJNm/xanZtl4Zyyf+Bisn/g358S AxDcx+lPXGlh7FcOy36FsV+ReEIIY7+yRfYrvOzRhZmPLngxha+vFb7eYddL fJLPqvjkAolP8hEVn7RIfJKLqfhkjoq/uuXOnYxLvJv94PFGC/9I03Gp7VMy HnSy/u0L5wM5ROKhDj39P/FQc5WKh2aR56moen5n7ISZVb/+MDLOfh1SPGMQ P5Pvo9Hq+1T/aZPqf7h8L4Wp7x0s30ve6nutMp6E8ewr40nr1XhiP1Zajaf7 poCXfg3d6VGrYSf4ZBB3lXgvnVDx3liZf5r1v/NPK9X8PxR+IfBLoPAblVH8 9qfwG11U/Ib9XoTit1f/eORbPMKH6o0+sqx/4SBOL/FoGqri0b4iPwT56S/y QZCPNyJPBHkKFHkiyNM2kVuC/E4XuSXIL/aXkFfsLyHPh3N0azHvQBAdlF9+ tL5nrYt3A+mB/PJhib8T4u8ZJP5OiL/vEP1H0H++ot8I+i2j6DeCfqsl+pGg Hz+IfiToR6WfyUU/E/Qz9rsu+pigj7Hfhf72abIg69RpVlp1s9+94q2D+M2L cxc/5LJSm3d3cyZbHsjnBJ9AwCfcE3wCAZ9QprAzgGrnpTsCHSwQyM/6LXra b5GdI/KaL/OaAaz8J7xR/CdcSPwn7C/+E1b+Fn4u/haOdcahHev6qTHtZ9Us EMCnb95NlSuvY926kC80w4RAhj8tXPxpDH9aUfGnMfxpA8WfxgPfHR7fyLGu Xl3SZc+pzT6I57JLPJdd4rmMeO4Tiecy4rl3j00anu+0hY1VDUPHXAvgBuJf 4qbiX+LX4n/iwuJ/4tSDv7bwTR3EBdMX+jA1MJDhz6sq/jyGP++3+PMY/jxf 8ecx/Hn5xJ/Hs5oltPjjsoXzPs0xt/IMHz4u8W5GvLuhxLsZ8W4viXcz4t1F JN7NiHc33zDleMCnAP1bVfxtXF38bQx/4S3xFzL8heXFX8jwF0aIv5BrOMt3 ZAnkOSedE+jD3SSez/tUPL+NxPN5i4rnWyWez81VPP/F1MkBf/Xx5rqdyg3L 5Gi/sPgL+b/dif5CLip4Ao5SeIJXgifglQpPcPtH85n7Urrx7p0XunafGMhX WmfKfXZSglmxc1yfpQUd/CL+SvPJuUR/JfAMvEDhGYIFz2DuUHiGe9Ieob0T 0p5RUrUH/2e8au/spcbeCVNjjWPpl7Y+UNiXmwqewgCeQn0f1VLfB3+ol/hD +VGtIcHjtrpR1dz5R7Zs55hfwWfQL4XPmCjjTyXV+BeU8SeMfyaZL8J8qXml Jmp+4U9tpuY37GxeW+l4H9onv7zxr8vJCkd60zr55XeCHyHgR9IKPxP4+ZTw K4Ff3wi/EvjVbVUivxP4/YDwO4Hf74k8EeQJ/lvID/y3kK+BpcPvrqEg8miT rdvZqT78W/AwBDzMQMHDEPAwv0SfEPTJGdEnBH1SS/QFQV+ME/1C0C87Rb8Q 9IvSd+Si7wj6Dv5j6DP4j6H/4D+G/svg3mhC16NWalGrbJ60fr782yv16sGN rJS20an2xcv58HvBCxHwQhMEL0TACx36Xm3GwyN2/qNFr2vZ63mzNfuh1GUd +5QHYX9HvlroxeUkPsETJT7BKp7BOSSewW8knsEFJZ7Bw5qsKtC3r5Ubv3zz dk8lb96t4lFXJR7FiEf9kngUJ1fxqEUSj+IKKh71WeJRvHbET3v3nXb2Xl4g y4nzbsBLsAtegl3wEuyCl2DgJapkWeQT9MHCu6efKNKhpzenqtSyWiuHXVH/ Wo0wj8VerOI7XFriO1xC4j+cTeI/PG317djIw0FcN9XS51f2efEcFR/rLvEx 3qriY5MkPsa9/jc+xp2vTIlZ7li3g9O3fDd6vRu/FjwJA0/SXPAkDDxJN8GT MPAkZuuebsnrB3K9CWHzSy73drRzY0Pa5gG8htKWNNZ5cTuJZ/EpiWdxqMS7 eLnEu7hKt5z+xaO9+Y/+sztsOOXNiM81lPgcIz5XVuJzPHVT54o1mwXyyyJ1 88xu5Qb8DFdR+JnCgp/hYIWfySn4GXbvKfiZgM3n/w086aV/c0l8jmdKfI7L FMx4uG4vdz597XmVXfO8eJmKB9aVeCCfUvHAYRIPBN5HxRM8eIXgffi1wvvE JfrBknEP57jFefENiRfyYIkXcirBF/FVhS8KE3yRaVP4omSJONlkhOcRb8Tz TwW/ZAC/FCL9p/9U/1V/abDqb6h8D5VR3xMi40AYjzwqXonxWFDCCXxwo7ny yxsET0UbFJ6quswfYf7UfFFpNV/BMp+E+WThF6qt+MVT+IXmKX5BPHSX4g/E Q28o/hlZ/33fJkV8KXBIMY+RjvFpeqNn6zYBPvTmW9jnCQ3duIfgwQh4sJki HwT56Cv8T+D/eSIvBHnZIfJCkJeqIp8E+Uwt8kmQz5IqHgt5bKbisZBXv89l jt3pHER/lrr6LGOsGwcJvo2Ab/MTfBsB3zZc9BVBX6UQfUTQR5VEHxH00V7R ZwR9Vk30GUGfKX1KLvqUoE8RD3bRnwT9qfQtQd/O65tq3dWrVrpf2z/Of5g7 d5j3+GXGjlYaPm/R6G3r3Hia4AEJeMCmggck4AEzCB6QgAec2K7DpvKn7Vy3 UdTikG3JuOOHhXXWtbNzlvA11/dcSzBvCr6APwi+gLMLHoHnCx7B/Cl4BC4j eASzyLbk3Q+NdOy72/7lU2VgMu6t8B9HBP9hAv/hIfgPs5bCfywT/Ae/UviP S4L/4Cs9+d4Oh7099siDJgcGxgBfxS74KnbBVzHwVWcEX8XAV3Wc4zOw4Q8L j5n1blXKi8n4Wx2/Xn1DLVwp3aMsK28nmP8JPoMLCz6D0wh+g58LfsOsu2Lx +YeXg7j06PI1E24lmAkKj3JP8CjmVoVHKSB4FLOQwqOsEjwKf3ALrXT4omP9 2FXvyo2KMeY6wZ8x8GeBgj9j4M9KCP6MgT8bNWt67rs9A3ntvQy1MyUk4+cD nAX9Ath/+OPn0f8lmGkEj8IrBI/CXwSvwpMFr2KWTeWswBLIE298G5fjwQ/g 5biMwsv5Cl5O7LSPMeaTzTMubp7hzh1/DJ39Y2iCGa/wNLMET2MCT7Nf8DR8 dsa+CgXaJdO/WwRPw20ET2MWFzwfxys8X17B85knFJ7vlDxHpnp+q8LjdFLP 7xK8oAG84CXpH81R/est/SH055v0lwar/nKe630Kr3ajVWsKe+68/sPMIvhE GqLwiWNkfGmNGt8nMr4UN0zG94PC/yxR4xmi8D9b1HjXF/4g8EcRmX/C/LtV T+QXAr/sEH4h8Esn4U8Cf34X/iTwZ1qFJwI/flV4IvDrno72z9fLBdG/6x/X GlU4xhwheE0CXjOr4DUJeM2iIq8Eea0t8kiQxzcijwR57CvyTJBnd5Fngjwr fUIu+oSgT5T+IBf9QdAfSt8Q9E1E1hf1e7CV0u2+8fhGjVhz0IuXf4fWtVLb nfdPVpj+w3wg+FYCvrWm4FsJ+NbXgm8l4FuBz5su+DwT+Lx8gs8zgc9rLPg8 s+It669ZV7z5cslqxm7zu3l7WhX3E8Mc+8dNe2oFp442bwoej4MFj2eeceLj XnnxUKfdufed2VDwl+xZRvCXEwV/yecU/hJ4v3DB+5m1hTZAX+zcvk79/T+M 623evik+M9KsLP2hS6o/V6U/9Ej1B/jA3Ko/2eX7KJ36Ppbvo4bq+1rKeBDG Y/SJBwXzFw6k9k27XyuR7rsJ/GB7wQ+awA+OFvyg2a3V/mxp+vpQv7xG93T5 35q/BK9KwKvGD0rEq9JghVdNzP/oG0RpnfOT8ZvZQ/CUJHi+b+ZcwVtSOsFb mpMapP9U+EoQ5V7s8Tz5+Siz782jj/88GEi3541bHt37jfl3mmtLM58Jol8v Gzm+5IP56G3WtNGxwXRwrfexoVsjzcz3CndtNT+A121odfbE0xdmjOA9ebLg Pc27ggfldIIHNe05jhavtzeAH4yLOBIXf9Q0EuMZAezTymvq6R7XzEYtBqTe 18efX/ye3eRb2oPm/mIjbYU8Ysy9j5cmvJ4eYQJ/ulHwp+YRuW7geim5buD6 z+wZVp84EGPcGJBuYnDYcbOn4GkN4GlfvBtXfmlyKw0sfK7dhhavzanV989Z scRCu3I2+2qOeGFaJt99XD+bleoXOtaj46e75rRO6ad1WmGh7aVabyrV+qn5 2rkBCrHQT6eg2CLM+c1eJxReanHY3297Dhj7wgiR57m7PG9Mlef5jDxvRMjz 7B2e+LyB8Sk1PnF8DIxHxbjE8TAwXiVkvIxD26M/zZ8bwMG/O0Ysuf/CwHgX UfhbzMc8hb+NlvEwCw1MHA8D+OLvMh4GxgvXMV64jvE+IeNtYLyBB7ZK/+mn 6n9Z6S/dayn9rSPfQz9/yfdMEP7jYsJ/Ri/hP34m/GdUF/5jn4hE/jPChf/4 tPCfcbh4yuAZPQK408FLlvaDo4y/BT/NRQU/bUi8NZAbC97akHhrAOcRvLXR WeSLR4l8GcCDnxf5MoAH7yvyZYwS+eVeIr9GKpFf7qLwv/NFfrmXwv9CX00U fWVAP90U/WRAf1lEfxnQhzdF/xjQhz9E/xjQh8kVPvmM6C/zkegvA/oMNPQd 8M4npD+0WfUH+PVPgl83gF9X+tOA/sH4QN+MV+MBfYTxCpP5oClqPoB3b6TG H3j3IDX+wLsHq/mCvgS+G/o1i8J3Q782V/hu6C/wD/QX+Af6CvwCfQZ++pCn zrItNittWDM5377ub4z2UavmbnDYAz/X+w64dSrKKF7+0IBvvy0UV2HA14yT PxuVrj8MKjvRQh2SexzqX+WDkc+ZJ+RtoT3LP6Z3b/TWgP7NLPrXgL4Fvh36 GPh22N+Txf42YF8/EPvagH1dRuxrA/b5YrHPDdjnlcU+N17Ies5ZZD03Bsp6 zp1lPTeQr/JR1nMD+SpZZD03kK9yWNZzY8L/7l+ondq/pBd7A/hpdsFPswt+ moGfhn2eW+xzA/Z4EbHHDdjj/cQeN2C/zxH73dgl9hdfE/vLQL7MGLG/DOTL FBb7y8B+ZKzYe/RV7UfKib1npFD7D+DHP6r9CfDjsOeniT1vwH7/LPa7Afu+ gtj3xki1f1gn9i2Fq/2Dh+wfjLdqv7BK4dtTqf3EWoVvPyX2M+8Q+9lAfk8f sZ8N2PNnxJ43YO97Zku09w3k+xQR+92AnQ+7X+HvuYfC38Pex/3IB/JQ7SEf aId6H+z79ap/sO9Hqf6Fqf3CSdkvGG/V/qCjyg/opfYPB1R+QBkZX5qnxhf5 RaXUeCK/6Ikab9jfmH/Y25hv2OPgh4/CbwR+Qz4S+An5SOA/5COB/6qp/UYD 2W8YP2U/SsiP2K72F8iPKKj2I8iPgH0NeYR9DXmE/Qx5g70N+YS9DflU+oKg L5AP5aIPCPoA+VDQJ8iHgj4prPYnI2R/QsqfQMgnwf4D+STKn0DIJ4lQ+xfk k8B/7Cv+Y4J/OJ34hwn+4cHiHyb4l0PFv0zwL58X/zLNEX8Mh4s/htqLP4ZH iT+GkJ85TvwxhPzMV+KPIeRnthR/DB1U/vdc4i+iEOV/vyf+IuQPsEv+ACN/ oIzyzyN/AP5lq/iXCf7kbOJPJviTH4g/meB/LiP+Z/IW/xnnE/8ZIT80nfjP CPmhmcV/RpWVP32P+OsoufKn1xV/HRVW/nPkTzRU/nXkT8C//Fr8ywR/skX8 yQR/spf4kwn+52rif6bh4p/kYPFPUiPxT/I78U8S8lXriH+STij/eQPxh5KP 8p+vFH8ojVL+8i0qP6St8qefU/kh8DdHir+Z4I8OEn80LVZ+26XKj4t82E3i v9V+X/iB4Q+fo/JV4I9OLv5ogr/6hvirCfmzfcT/TPB39xF/NcHfjfyYUnF9 M97Y+9D4b8+Xnu+XeRLw1MA/w5+N9pB/e129D/m3vqo/8E/jF/7pzer7kI/r j/FQ+bhP1XjBX/5N/OUE/7ih8n/gPx+u8n/gf8b8wv+M+YX/GfM7TfiJIhU/ Id+3suIX5Pv6KP5Cvu9vyfcl+Ndzi3+d4E93yV+i8ip/Cf5myAv8y5AP+J8h P11EPgnyiXxiyB/yiSGvyCeGvE5Q/vVW4l+nGcqfjvysbcqfjvysnv/rfyf4 k6G/4E+G/oK/GPoJ/mXoM/iXoc+UfiXoV+Qzu+hPgv5EPrOL/iXo36HKH99K /PGk4oeEfDb425HPpuKHhHw2Uv565LMBv3Fd8BsEfMY7wWcQ8Bn5BJ9BwHfc EnwHAd/xS/AdlE7irdxK4q30S+KtnEHirYT6DHkl3kqozxAv8VYC3mWFxH8J eJc3Ev9F/hC75A8x8oeAf0H+EPAcBQTPQcBrRApeg4DXsApeg4D3aCp4DwLe Y5LgPaifxMfZW+LjhHoRyyU+TqgXkVXi4wQ8S0WJvxPwK8ifAr4F+VPAd8wT fAcBz7FN8BwEPEcrwXMQ8B9hgv/QOAPgDoAzAO4A9SrKC96AgEtprXAMwKfU UvlgwH+sFvwHAR/yUfAh9FjwFFxb8BSEehffBU9BwJs0EDwGAW8SLXgTAh5k l+BBCHiRxYIXIVPwHuYJwXsQ6mesFbwHAY+yT/AjBDxKFcGPEPAoLwQ/QsCP oD3gR9Ae6m8ovAqh/sZG1T/gR2qo7wV+JF59L+pxvFXjg3ocS9T4YV7wi3nB L/AgmJ/qwg+0WPED6nfsVvON+h3rFH+gfkcjxR/AqyAfEfiWsiofEfgW5CMC /wH+Bt4D/Aw8CPh9tsgXQb5QHwTyg/ogkB/UB4H8oT4I5A/4l6KCfyHgW5Cf CXwL8jOBj0F+JvAxyM8E/gP6CPgP6CPgPaB/gAeBflL6kaAfUa/ERf8R9B/q lUB/ol4J9CfwMucEL0PAyxQRvAwBH4N8VuBjkM8KPA3yWYHXXit4bQJe+7Lg tQn460DBXxPw1yUEf03Ac/8heG4CnjtK8NwEPPcewXOTl+AZea3gGem14Bm5 veAZCfWWXguekVBv6YzgGQn4972CryTg3/8TfCXyCdkln5CRTwh8PPIJgd/O I/htAj57keCzCXjufwTPTcBz/xY8t8adAocK3ClwqKj/9LfgTwn1n94I/lTj XoGDBe4VOFjg1ZFfCTw78iuB794u+G4Cfrum4LcJeO9Hgvcm4L3nCt6bXgq+ lxsIvpdQb2qg4HsJ+PRyghcm4NOvCl6YgE9/pvJDgd+uJPhtAj67pOCzCXju C4LnJuC5jwmem3wF78yvBe9MqG+1V/DOBDz6d8FPE/DomwU/TcCjF1f5rMB/ DxX8NwHvvUbw3gQ8+AbBg9NmwXubWQTvTcCTlxQ8OAEPjuvR0j6NVu2j3tZK 1R7qba1U7wOe+4n6PuC5WX3fTBk/aqDGD/W5zqnxQn2u/Wq8UJ9L4d8J+PQx gk8n4NEPqHxh4NH9/jdfmDarfGHgvcEPwHsPV/ywUPiNDit+Qz0wlU9AqAc2 TfEX6oFVVvwIPDrynYFfn/2/+c6k8hcIcoVfyBV+geeGPAHvDXmrKvJNkG/U I4M8ox4Z5Bn1yCD/wLc3E3w7Ac+OfG/g2ZHvDfw78r2B34a+A34b+g54beg3 4Lmh/5R+Jhf9TNDPqI/mon/JRf8S9C/qo0Gfoz4a9Dnw8G8ED0/AuyNfHnh3 5MsDL498eeDlkS8/XfKbeLTkN1E+yW/iOpLfRKhfmFrymwj5ekMlX4+Qj+dW JzEfj5C/V0/y9wj5exGSv0dLJN+Lj0q+F6He4U3J9yKXfENyyTck5BvuUfnW yMcbL/l4hHy7eMm3I+TnbZD8PEJ+3gjJz6M9kg/H8ZIPRxMlH467Sj4cod5i VsmHI5d8Q3LJNyTkG7LKFz9Xvt7wgIxvzGoebo9XLLNR+dmWDgvnxhjbnGXX 5lkJ+Xg/1fuRj9dFvR/5eCXU+0m+lyar70U9x/Xq+1DPcaj6PtRz/K3GwyXf kFzyCwn5hRP/N18e+YiEfD3MH/L1Hqj5Y+EPGq34A/UjwQ+oH/lc8QPqR8ZJ Pie55BOSS/4hueQfEvLzwL/IzwP/Ij8P/FtF8mOptuTHEupTHpX8WEJ9yhaS H0uoT7lM8mMJ9SnPS34sueQnkkv+ISH/EPUPXPIXySV/kY4tD87UpVnSL/in qvAPz3b/ln7FrNfmisKnL3f6buflQhugp5VvvDbTjVe6XutNed7A8//2yLE4 6FmEsenC+vT97IGM+iQNpD4Jl5zuzOyLNPo7/R9nf5jR8UdnLFlopRU/nnY6 sz3CaLLS97jHaivdHuDbMOifcKPsvasrX0x02KtPzLGl+r42Zi6f9EexEBvZ EvcBr4w8R6vk/muGjbK6j8t2pOFzI6+0bw6V9g28D/Rx6Z+5TfpHodI/E/VT XL6fRsv36vMV8b2Qt/4fDxfoM8+m8/MHCK3rEUR2ftjm8iE7Be3uNTHFdDsr mhVNd1NHLDo964Hpmdh+vPGpqmMfWf6Szh8vl5j4fcMsf6Xa7cyZEgzUR8/v MSLm2nk7D13QpHPg2qQ626j/rq6Tuq7rgjf9L+0GS6FJZtvvLUYHXvbj6GIL J6/4td/8M8hhSJz1445yfomhzy/p5PuyUVRSvQOcbyLnCXkS7geN9jtI+4T2 80n7uk7+ZN+FGTbmv2fW85ld9NxsG6dO/PsjM/m9PA3PJUs6nyTvsEb3U6Ww aRp1kVfJ80Z9eZ4KyvOGel7Xx84vz2v6YXe3lr0dz+eYeiXfycd3DdQDXpqm +cXhc618oVSnBTzFqs+D8LpaeuBT/yQ6/HGuhCNTLJpe8La84z+bPl8Af29w NMuUjw1tXKBNQUv4XxZ93SvjCfPBsBBNy3miFk6o1+xqxj9s3Lhw8VFPl6h5 zK7PTeC105pXCjyQ1M6Ju85AnoV3/AobmSEqqZ3BlSyPtwxOord8KDT4SLxV 04W/04c9jxx82CH9+kyHrFwoWYtehUMddK/i2de0t7Lvnh/PMu+wcb6fU726 G1YuUfJhgdNp7bze6Yeub+WsOVLWb58lCPUwGOehvu8xy/fEWhu3vzNiZOaf IbrfPWJ/BeaOCNZ0av99705dC9Lj9Mk36H77DYGaXvpydcfdPQM0HTU598d3 rYL1d8t7g7nutCGfFnjaOffk+D6zLvjr61JXIoCDm7e7+0d+G2daU/9ylQsW PZ4Yh4WjVh67vcPCM7KWWDX2Y7B+X31nmRz3pPndr/xh+F75Dl/2tI5tNv+Y ncstP7H2Uxp//X2Nns4KtZ3y1fS7ZceK5unoo9s72b1GaKsXXpr2bxh/fttw P91/tN/pUqEl8R1tvCNywWbv5F76Our0Py2wvd+/lW2cxylXXoH6+/D9dzO+ MKc7+EXKhftxy4bOfzaetLBmhfNXffX7O7hfnhKdw1/TkV2+31uZyl+P096D Y6+tMn017eMXd3BEJzc9Hl3vtQooW8xTf+/Y0q9rtu/gofuLcyS2fz49xlrY cb1Xo31B67x1f/E9jXvnqlXoukMO1Pm2pTNU93nnkPuSGTqbc//y1P27n/Bg QJXCnro/D6TeAZ1X9Q5g/2wR+4ehR32cw3TGzjh3LfT5pyYXqzru7xPfvcLM 37o+ySjpv9ZTOIdlrer/rc3p77ac7K3rxeDcga+l+5Ret9rO3WU89HkMx2W+ 9XmZ74UfNL1J5le/D+3dVvPrKfyhr+NcdfDH11tbmoVMddPneqO/iwocHZ3i upVxHi/Gs5SMp35/uIwnYTybKj8uvk/qkQTQi019th6aaueGwt/6+4oL/2t6 ocivbj+tyLumv4i8azqryK/+PrzPQ8nvR5F/fV2+J5gg/996H7yYL42v/n6M z92LedoFf7Ewzr2rp/i/pfC7fv8EkQdN7xF+1+PxXORB06vXVJx1/YRFj88j +Ts9HROTu8r4pHPMoQ97i/7T49NJ9KOmcW4P1h9vWW90fx7KeqPpf2V90nRB WV/0+PjK+qJp9A/ry/hUuU7aSwTp8cJ4BvvfaP5ilWPdEv2n258l+lHTS/P9 02H/Wat+vpM5/d+n1ZJonDPQbso/zdc8s/CyPanPZPxs0893eDzC8V8SvSh0 5e8PHkk01nesb0NkPdPjv1XWM02r9U/T6EedLdacxpFAztvwQeXYAaivH8zJ Mhe6VOybRdN3CmRqbB2QRB8O6xI6vqhNr2voV0LBAbX/mBfMKa7N/RxSyqKv 472xzv1FtmCu1W81hb3HeUOBbF1f+dboUUn0szTLd77ukrSO2c8cq/rjU1L/ 2k6e9y7yUdL1DAULuz3JaNfvOzfuXMlB25L6Bz66d6J1EVuxYP2ebwd/na+1 PohXhT4flnpVkG4ve87+WXP2D9T08SpeH4eVDNB01Z7H6Xi7EN1+5n7OjX+w pnFfRu+ei9OmtXCueg2Cn2/z19ex/oSPaRKRq3gwVz60ME+5zRbdL93uvZYB F6uH8ImmX6bnMIN1u6lzrMlw6m7Se+qneZP7eBOLbvfveXm+rl6d9J7rnfpH 9p8UrOmpz72GD/7DRz//Kezkph1rvDTdbEnniOYt/VzGz5c3zBs0lg4F87Md I619P3nq61ifWtdrP7pU72A+3XvS57WHAvT3YH29tS/v5ENzgvl65TyFly7w 1e87eanc7KiPfprG/W+nvg5Y6hHApR6lGz3mu7/uf4bg6a/KbvPT9HujZrcD tXw1/WfzsS9TlPXQ/cP6mrce19xRx8J3ip1e6j4n3sT1B7L+mZNPD15a61Iw Py49w4is4K37H/259dvS8R66fy3Kblz5KNhNX8fzd4c//fN55QD+vLjZ34de /TJxf8tWh3aV7fbaOP1l/dI/64Xw0JINkt18/8AYUfHkjkHRgXxK+mOgP1iP e6r+5JDvIVzH+pVJfc93eZ+B90XKfBLoGTLfmn4o86fbw3paSc1fA5l/fR3r Beb/h4yHbg/nrkGe/hD50dcPifxoeq3Im6aziHzo92F9M5V81BB509ezirxp GvoZ8tbBoAVRx30I84P+Dxx2MfxpwQC93h1S/HhE+E/3R/GnpnH/RcWPKYT/ CPz2QfhP00WEXzWN9Qv61k30q27/ruhXTecXfazplKJP9fdivfo/sq4CrKpm awPSecIWsbvzM9A9omIXdnd3d3dhYTfY3a0zNnYgioEBUiJIqyDwn3PWfuc8 9/w+33PPfZk9sWevWbNm1YCfXiN+LMuxv4AfFxp30W5fgqucD8xX5JYDY1t9 cJX7MfhNEeIvsv/bxH8kfk38RL5fZ+I/Ercn/iPxmuu9/JpzvazfIdEqyr2j Gav8W47/IfFviZHXDfz7/OWVS/8e0sr3md9qcnzpimY8kPYH2X4E7ScS56P9 ROKAnTU617uglXxuYJUiVwf/Z8Z71HMlsNv2lk2eztZJPsWajvrwKY8ZYz/0 DM9XxsfORbT0Lvogwdp8zsB+eHjcpoQ6S5xFpa5VbT6fxP2K9nK/8nP5tu7h aHt5Thi9POShkuIobhYI6Hm2ivkcZOs69VT7gnqJT/Z1io46YC5Hfc+vxouw bMX+Hh7eCxLN5yTrzV+3V51lxrUUG8N/ZkzzlBf+CyKlo0+Py0f0kt8+eTCy hXuS+f0x/vveu+3yb3cWo5bd/Ns90czXMe8nPn0dw12dxJZ8nu3uG85XKEe7 RSY4x/bc4SzqvS9aIuyrRs4P5i9hxc7i4X72Iudq0LINncz7FOgE2LvDb223 Gubvh3ZGGs2E7g5iWNYz7yZRDrLcV5134HVrjvhtNpwHMb7m0bo5XQ3nLWA5 j01s0hd+dBZzj30I1zRxlf3IfaunT8nWY+1FxSklk+e0dJLtY56AL3ier7K0 mbXEda62cppw+R+37O/K7NAA9+v2Iv+4fusPNbaVf8+3VqcE3cvl6B/7U7v3 Qza1q2s4Z1P7DO3Xp/YVtH+V6jHMT3OaD/n8SJoviX1pPhjqYz+JYDQf/jR/ svyZfRfv8VHWDOMrRONnGP86ogf5PPaDf+OJHsYSPcly8DPQU0bdh+Mm/7SX 7YP/lzz6bsOsog7iFs23HH8Z+h4S76X1LvEW4g8SDyL+IHErWt9yPODPWN8e xC9kuQ/xC4nBr8EvHCsOqTl8vJscfyOiX9mf9TUTvUv8nuhdYnW9spOqXsZz /eCyi/7oZfmXO05X26w0Y3X9yvGA34Iud1spIycM0MrxYLy/Wt70fxNvL88j 4E8qP5LtnyJ+JDEn/mWef7U++JMN8SNJD3WIH0kcSPxL4tSY0mkxpXVSL5KU Uer2gHJmPcmoGVt2PbgGfmUtqh73rra+jRmDX51X1x34ZYbRn6BqNtcNGquc S9HJdXRj1bzrq+aZcWLtfV122ptxV3fnSh889LL/nP57Bk3cZR7fzifn+VVv D4mnvBw3pkFxd4nBH7eYHBltxfGFr7M+LXCW5c917/9L/aWR4w8q+fDO87Fm DP5YoMLw+L1lrKUc3MUUaJ5H2HW8HXN/jLuUi+utbOmc2kYjcQHTfcNmuRnf feiCO7v662zEFKN7TRVHWd5mZE5Zl6v2Er/JsVn3raqTHO+5rmFV/a/YSpzy 5cmqmUNd5XjX5Pbr9rSSi8Tgl0td3ZYP8bUWo/1SrX+ucTKP9/AEz9fvnSXW LH/3ufMBa4nPrBzevJR1Htkf/p6d2cR1bx07MWH103Lj/mRzOZ/NK078cjdF YuSj7TD63bbTRfKIn6vqKe7FreT48J2Tu1ftEe9reF+qr6A+8v2ivhuNj2Ec Q6h/+fwRGi8Dhnx/QR0v+DHmvx3Nt2xvGn0PiU/TfMv2XtL3kPjEOGNiZRuG 9zlI9CXL9xB9SjyN6FNi8FvQZ036HrL/ofS9JE6m9Sjrp9F6lbhca//aThvd 5Hggj4Je6xN9yvYKE31K7ED0LPFWp41/tHv1EqvrUfaXS+tR4lXTwo4kjNPK /sHf3p30Xrr7u7XkT+AHN2n9M9BBEq1/iVV+IbFD+6tjLxTTiZKmdv7xqFNd zs4uoZH4pdu8wHoH9AL5m0f0OBwZ5qyX5bpjDYtM2Gquf5X1VgZX95B4Y/P8 PyP17hKDf0y718vl8LJsXj3mX+tlk5xlufPQh+P9QzWyP+Za+Cgb5iFwX3FB bWjX263cJZ4r7v7+r6FG4ioePX9/LOMq65/QNqvlX9hFrpvRgx8P/vnCSeI5 g5ZueTPZUeL9Mf1fFBxhLdtbs/2CZm6CjRyfXOelvp9+3ymX984u3T3mfjZH eebkgzfZpBSJraaYsAKsts/QfieqL8sXU38MGOvtSUnqrwLNlyy/QfMtcQDN t8RYD5hv9X0Z3vcgzY/Eg2l+JI4mepDtORG9SDzveS3XZV3dGOZ7Hn0P+X5N 6ftJXIS+n8ST7mwPGrhBL/FIoi/Zvp7oi/3v/LuK8IZerR3jE3nh3cs9hqxz FaEmev7F8xXjN4o0cxHI0+2S2iy7yH5HiQv6j9s+2c1W4hT2aM74xS7yPtJp U2p4vNT/4yhv4Fd2xNKev+U9oXOoXOZVfzD17LTNPEPpvCPT8ZpjMv/4Ms/3 6Q2TlRc/jBmzY7j/0MP3tn34Le+JL0z9yzzizjQ+ifvlHzYw/zAXec9o3zF2 PWY/cpO49uj+zYvsdZVY77uzwe1MJ1kf8mhMWpcO6V1SuYg6P6PLI3dZDn4x 7Evsic5l3/FimrJLp63RMdhn/a618Fqe14y/VFyztoCVXmLfhheaNrwAfWOw d8fwNUs14o/M29+b7ltlyOe+h+5nlXgU3c8q8bthS/dvKaJhsL8XutAuZkFh ncQFCcv7a9/S8xJDHppH76N40fsI2Is70vtIrL6PxKXqLTL85yJwHyy+FzD0 IyHbp/icCwlRmua35TvKaFlX099fKbvGZOVfdUAr89NXuZL5pNF3N3m/rN3l LlfDr7pKfIu+h8yzX5i+n8SQL3anm76fAv42kdaHAn4IDH4IDHlo0KrLZc/r M5Thr95Pv5jHQe77T+5PPHhqtp3EWB/oH+sDGPwU+fTBL1Ef/BUY/BUY6wnt Yf0AQ37AeO/S+OS9uaNo/BJj/aA+1g8w1gMw1kMCrQcF6wHl4H9oH/wPGPwS GPwO8wH+hvkHfwMGPwSeX6hbs4mvtbJ+m+PKsV1dzRj7+9sSB6pUnp2uDNi8 JmrlarMdNH/Pf8Ueuplx/IgfxwJXa8x2UnU/h50U+zkwzhu4/wDnDWCcN3AO x/r6TvKFckU9X8j+1fMFsLt6HgFW+bukT8gPGA/kB2Dw9+cu08QeZsWK7Cga P/qtm2wvedv0MJcTrhLbfT/05sxkF4khf6A9yB/AkD+6036oQP5AOc4vmA+c X4BxfilM5xepB+xO8iDDeQX7Ns4rwDjfAOO8gfZx3gAGP1hB5w2G8wXq4/wB DHnlf+fTRoSS/KBAXkE55BVgnCfQP+TENDpPMMgzeB7yCzDkF2CMa4TaP+R7 tA/9PL63NX1Phu9ZlL6/xGn0/SWGPIT+IA8BQx4ChjyE74/zAMaJ84L8frTe ZH8/ab1JPIjWp8SQl9Af5CVgnCfw/jhPgH5wXkD/OF8A43wBDHkJ7UNeAsb5 Af2Bv7yn8wODPID17aGeD+R6Us8T8v3V8wTwzdPz61gt10q9WreeaVauTmZc aWTE6phlGrOfhaoPgV8D9CHA0DdjXwA/aq3q+cCP9KSPYdkBpB9G+9VV/TDw HlWfDIz640gfxKCfhh4O+mlg6LOB1fObXG/Qp2D80KcAg58tfHouKPKIHfu5 L6DWpiducjx39iYWr7XfVWLPM88vtxrhIjH0MWgP+hhg8LNVdN5l0MegHPpp zCf4VyTppxn0z3g/6KuBoa8Ghv4E7UN/Agz9MvoD/8pH+mWpt0N70DcDQz/y v/NnI76QvoFBP4Jy6Nmuk76Zuaj6Zswf9Cd4HueaTqT/YNBHY7zgdx1JH81W Lxzx49KD7/xPs8i2r2flYVsJK8DQr6B9yAloH/oUlEOfAgw6uqK+H/QjKId+ BBj6aYzXVdVP433BT0FvBYmeZHki0Z/E94n+JIa+Bf1B3wIMfQsw+CnoD/pt jA/ftQzptxn02fg79N3A3Yl/yPFUJv4hMSd+IzH0NxgP9DfA0FdjPNBPoz/o p4GhzwaGfgbtQT8DDP0z2gd/TSH9s+Sv4FcqP5LjzyH+JXENVZ8MjPrgV9BP Y3zQZwNDnw0MeyDsxLAHAtN5QSuKk36fwR6IcvCL42QvYPCPAZ3BPwYY/i+g C/jLAMNfBpj4V15xRo2HVe0Bkh+o9gCJYc/D+LA/BKt0lO6yvNPmgW7SLtOv W67/ypquEsPeh/rgn6fJPsNg70M5+Fcxsvcx+MPgfeG/gvbh7wIMfxdgyIul yJ7N4C+D+YA/DXDbfb6TmhvOc6gPex/GB3sfMPihHdn7GPxdMN6x9JxIIH8B Bn8VtA9/FWD4twCjfij5JzD4x2C88J8Bhn0Q44P/CsYD/xU8D/8VlIMfvyf/ FQb/FTwP/5UH5L/C4L8yl/xXGOyH6B/+KKjfgeaX4f1gL8TzWIfRZC9ksBei HP4maK8/0Zts7w/Ro8SwH6I+/m6l0hfshyhHu6BP+I9gfrAuZpD/iKz3XP2+ 8PdAP/APkedi1T8EGPWvqd8X/iYYB/xRgGFfRD3YF8EvYF9EOeyL0s9F5Zfg P/AHwfuhnyjyB2Hw58B44c8BDP8PYMjXWG/wF0G78Cex4EdskOpHq/oTyPZg j7TgPwz8B/4fGD/8P4Dh74H+4O8BDP8Q4BLroi50W6yVdttfm9btbGBnxveC 5pbNv1gjMfwf8d7g79Y1TP42DP6PKAd/zyJ/HYb4Bei9wF8DVbsz5GdO/p0M 8QroH/EKwIhvAN5O/qTSjjGI/EklDiB/UolV/xzJH1T/HInhX4n3gX8lMMaP fR7y+O6hbPWDqRrW49OO7q/vuMnxVf2Y1mzSNleJM0z3qLpIDP9K6Zek+lcC Yz8pRv5eDP6VKMd+8on8xxjiGzDf+B5bKL6BIZ5Bzoca7wAMfd+RmyHPnvw0 vM/MJpsLdHEwj7fDoYHslZ3E8J/83/lxFEfIf47BfxLl2E8GkP8dQ7wCxov3 eUfxCgzxBugP8QjA2D/6kT83Q/wC3gfxDcB+NutONBpnI+s3LH5+rt10K4nh T4nx4rxQhfwPGfwpUY79ZCX5LzLEM+B98L7dKZ6BIV5B+mGrdjlv8sdniG/A eOtR/AJH/KbFfY6sLo1f8klfej+J4W+J8eKcPU4dL/wtUY7zQ3H1fSGHgh58 6PvL9nsTfUgMf0u0h/3OV/3e8LdEOfYb0AviFzB/GM82il9giE9Af5CbMX+I Z8D8gU9ifabQ+pP1e9F6lbgGrVeJ4a+J8YJv31bXG/w1UQ5/TWDwFaxfxCfg /eS5mOITGOIL0D/iD4CxT/ip9I54Bbwv4hmAk4i/y/r3ib9LXIr2A4nhf4nx 4+/g5/C/RDn6wX6AeAK8H95fQ/EEDPEDqIf4AmD4R6J9+Eda8F95zkL8AfpD /AGw3Bco/kCef7DfIF4A74n4AmDEFwC3onaFZ1KAc8ofHXtdMG72+fLq/pSg +vk80oiz/k5eTzfp2C7n6F3OZXXCxfATbdiHF/0L8NwyTyeM2fgm1tHL/eN4 1o7m/f30LE5TsdaPe27SL0l4LCm+aoerxGdOP2zRaqCLxIiHw3thv1DjYRji 4VAO/upB8TRsD8WvCMgp2C/U+BV5vkig+BVmEb/HLOL75P4R/ex6UN4retbG d3qPs90cZPlox1MF7d7YSYx4N4wP+8cwimdiiHdDOfjpN4qHYj1VP02MX/rJ U3wSs4i/YxbxeexlfafZJybaSJz1tvJlMctKYsSvoX/sB2r8GntN8V+yf4wv m+K/mEU8nNlvguLPWAb1J+n6Ho1HYsSfoX+L+DPJnzHfQ2l+Zf12NP8SI74M 7YE/v1XnE/FlKAd/wvdQ4/2kXGsR3yb5Lej5BNGrLI8n+pb4LtG3xIj/Qv/g t7YqvSL+C+UW8V/sknrux/ikXoPiM5lFfBqziF9jvs9rdi1tL+VUVuRz8a+5 izUSl+3S43vdJeZyxFthPIi3AgbfsPYzxVuxzRQfLMvBn7pSfDArQ/G0cvzg e1h/FvFizCKejC32HRzRp4tO4Nc165ajQz+tGPj195A3PXQizmOz9cXxWtEt vs349Qa+tP93y+XBT7TCIyQ3LWiROW7d2zWsap3aZrs4cAR3LOTxUMeGvy5S fXFfnSies3p9cnU9O1sytGT+WTrRYNSEkDwfdOyJ/9Wh5Uvp5D3sNf40mcqH uol+3k2CMvq/VO83dxMtntidqjFGJ/0nZk0t18InTSuxb3C/KnO/ekgM/tQz 4e24hLcpvM2yL65zFmhFpbiRPlsn/uIvLtpw19Ie8j2OXLs5eq2Du8Tgj3uX GfVfn/ixtuV2VBviLMu3Xq8+4mlZD7FmU6pn4QNv+MCWgQM/GuofrPjo6MZd b3kho72ksoe4c/VF1eIZj7mItV/8uZqH+OU6vFbln3v4y9zrJZyqeojEf7zI xq93+LugCY2c9e5iX6jx/yzmyfuLOwcWT1HQX2bkpIGtC+lE5iu/AfWuflDy bC924/IanWiuXWfn8OergufxHVIm14zoOskcz475tSted/OyXbnk11xXJzZo K92Ylatnb3/33Oz0RYs8AIzv2ez/7KI5Ph3nmdl/pnxaWFUnuhz9brXEVy/Q jpha2jqivU7sqrzx07YbelGkfsegDiN1Ymft1XqvSXrxwrHR7dQkc5z7R9oH xbp3l0tcidKKdYfaRJfcbDhP1R69/Mp+nTj6q+LC/VUypZ8F7LjZL5f0qXdO Jxo3veKoWZquDKwzPWDEMb045WZM5JambP436FG1t3rxtvTvQ523qvEShn7e +/2ZmpBrPlcKej9m8X7M4v0Y3q/cmfy3rhfWswk+DR3ac53YPexNs7xMy3bR ryi9NXf9vOtaFj7CavzCZlrhRuuJYT0F0fphWD8/aH0xrK+eQ0s3rltOx+JX jn3Za4JWdJlxu/OMhToWZRQMHsv5YZiff8Pu+NhELuSHu7btdX+IRvwbacIK 8PWuu7YIA33kZEx53+7PV57S7+mPc+t0QvmZJE5c/8Q3ZXe5wb3M6y6Ohe6M dNJL3Ll/uDK6vJYNaD7iwcWH4/hBqwPva5XTMu9AY0KXB3ztxB5xWw5qmX2+ ebeHxR/jycb0UYFaVv+bMSF1CHde0e5gCcPzJ8sYE7k85NWe3M9zvZiBj/Xd 2qCz/iz3o/YN5ztT+8oBal+MofaVNdS+eEDtK7+ofdGJ2lecqH0RTu0rAfQ+ 0h/mB72PxPhtumnvmO5+dtKvqG30peEnLjgyqxvGhIrhqn7PiSG/QRzlN2DI f/CD8h8w5DuoSvkOGPIdHKR8Bwz8dBB9fwb+qaHvz448ul3lsYG/5j84Y+dB A78PJXqV8uE7oldJlyqfl3Q3YX3DwQMT9MLa+OcFWvZAebn/2SC9PA/6q+vp K9GLnIe+NgWOJtU37GcqfcUQfTHQ30+iP4b18b/ylp7NofXBsD7G0fpgKeu8 Q5w7aVkPm9ipy0P0LMDtyIzPowzy8N6ntyes07OC3ksLeBvk7wHPjw54Hqdn 5dPzNXhvmLc8JxbnW39SxwYa0+Ve07I5hq/77ZyO3SZ+wlR+wjyJnzCVnzDM A/a/MOJfDPwL8zggZ1S3wb56yQdULO6uM17A8YaHGX9vakXxik/OVX5yh4M/ LSeFAW/z2+H5ya9asfPL77lffr9Xth8auePQUUO5e///Qq7r2O4GtRKmGvjN snJXXtrc0rFjE1qnt3mpFyei1mrb/tRR3t3WetGR9MUc8Y4DSF/MEe/4Ze8v z6YDH/ANXgXv1TvtJJ6r9j+H5iZ7nywPoHKm9i/U/pnav1D7Z8epf6H2z2o/ 3DjvsoEfLzrUst6liXrmdS/qqctwnWjmNiO5y0w9c+mb978T3XWS/5vk4yE6 8aaga8+eCwzz/3HO+TbPzOWmaRc6kcpK9zz8WA96Y6C3hzfrzXSvpBd1tv+K jvumF+eKHkgZ3VAvym9/FNv6nF4UG9cx6HU/vdxXduzqu/P1HPN3MtHVNIPc d9l9clErvfAZN6/OSBdzuVpf8vPKNRae3txBpcdp/699ppbLdsHnsB4s+Duz aJ9tU8cHukI7nMbHgul9mfq+7Dy9L1PfV/bXh/oTKz1bbxm8Rc+UVWXavUrW izsT27KmhnPAiZGjqmx7J8uFWs7UcqGWy/Xcg/Zznv9Mn8Bx5bEegr1RXovk KTaN5CmF5Fw3NteU8Ooen2J0ixnlJppVv1hneY2dPM3/wr7l890E+Kfl/oB2 vw/dllbAwK8G2E4uyBpOVvbuPx/yZotOlO+wNHHhlYvKtOaRIX8368SyyOtP uw99oGQdelDwgaH8RmTK3WOZl5X2wfG1H8bf4yuPG//lKvGdeyzt2uMmb274 36WhucqIHflc/Q7t5xcHPx8dl5mrnEtofH1B2Aneapr12aNpuVKeAT+PJ/mH Q14ChjyE5//uTOlj01PDbA42mej8zSxPgo5qG6+DaJfKVflJ5g/qFnN/6KtD GsEaFazcfO0Jbs133RpRSisq1+/nHhr8lq/xarrGK0gj9qUsOZqyJITvIP9M uZ8eGNy7waWDGolbkrwq/QEh//cneVU5QPKmzAf1muRViY+RvCoxzjeXSV5V 2k1/eG9UKS3LvOk0MT34rQL/16evnkfFGPbLhH5Xm+4vo2UVgt/tDdS/Us7X 32n4TyPfN2TSp5QJA/SsomnB/1T6lnrt6TJSz9yHlHIJ/BCj9NdNvrlkuJ5p xw7P++FurNJ3QjdNsLVOPj9HnJ5fZ5+baK+936rc92RevH+MQ6JOK7Ls74t1 I2K4UwWHYjWctcIz91CIwuN57tPwRRnrNOKZV5+UUQkxvKTV+bIzszXiWKt+ vMqKJF75VkSlWzM0Io8xD9yfJO6eWehHDXutSHOO8Wy7NIE/6xw7Okuvlf7U FXJaZjzOZ34f0+fVaQTv6xJ3d2Ikx34Jfu8VvW58ZNUspdFwvrHsYb24akrc /k9J/GT4P71VvmHY51R5Wbz8VWJKyOlJysuH5e67T7cTac2MiYIvKSWN6d7H 2YmXcaZyjvIAKucoxzot3CNC19pQ/jPo0MKKm7SiXftDRwv5RHOsxwxaj3Id Rg6cXXFmmEEuWhAwrVTxb+RXaDjXDNvlPr/UYzcB/+zCBSvVShrmInGNYWOu FPmkEbEhLcavvKxn9WYUPPIyVSOCGnetFW3g/+UO9xxVcKmFvGFo13l59DP7 7obzYkjTeo2WaGT5nP17nne/rxX3a90t8MOwn5cl/ikgH7t0q37IvYZe7J41 s14tw3lvcZtXDTs014s5F6reO9NAJ6p7ry3WbO18bt8p0qFTpEEOjJ25J2bm Rf7EeL+BYb9d+bfy1bNZk5Uu7z8cLNNML75HGj/ERWWUMeFYE71oV+Zso1Pz dOyq1YjjK+vohRP1x3ZRf2wR9cfmUX+sYYdvmw4XN8tRNWg/ZMtpPxRFaT9k TWg/FM60H0KeID39EB17RPuhKEr7oSxX90Om7oeiAfUn9T1NaP+S5x51vxMW +53AftfyTMjdMT56llv09KwPu/VC3X+Exf4jsP+ozwv1eRZ/ecviTmfMed2c HVu1nlLKsL8M3Tjm72/Dfvto0IQ5hv2pSYLz6AaG/dhFaZnvWV2DXDV4w+Fk rheBsd0aLqpuzg9n+q2pZ0/O/V5Z7JlsT6jtMbU9obbH1PaE2h5T25P55NT2 hNoexivlt2jjtVtP9exlAa+k+PZ6oWKhYjbgMK2v87S+2LFWtL6yPUzriw04 SesT5c6taX2i3K79V9v2f3TMvtwEm3LVY5TVOzRNz+zQyvPyzPLF2bMtWpFp srtE8v6815F/qTo2xfTB4pRhGQ12/lumlevreVThQ2yZRuK3DZYVKnnhFw9/ l3qs03wrNnX8w6ZOA5N4mDHteEErNqTe5qBys3XM6+5Rz0bv45W8E+9aFzTQ 87+dVZYM6fFDQV67wRmtxn52Mch7qjy6PG+fVZ9nurEYwspSwqJug1+hfntc xXA3+x/j7/zkW36UH7a7lqvYdsaxQX6vDF7v8KHdbu1cxZum79ymr0rjna69 OdDmmZO4f7PhuK+VDdh4LUmyszDd+zMlg3/qGtZ/93xXcen4Gd4gN4mXa/zK xnOdqwiOmDho9Kxfcj+0amzaD5WQfu4OG0sY3t/mbYE6TucV7I/NaH9UsD9e of1ReTG00MvAsxrRuMnLRvNGaFm56OC0c1qt2GLMNx9skOMLhvawmeYhrJuG OVwxyDVZdtOftamqERWbFumePVjL3k/scuOxu1aUtJ1p17eWgR6mOmmncbP8 Z+Lr1/WsKre1KbZYL9RyKf+p5UItl/OL+fyzPthd0bjL/XpoqWpzFxU379/p htOi3UqzfdS39+81lRu94b7n0taXfZCj+JkmMoQXNibW/5qjQN+E/Rr6JmDo m7B/Q9+EcuiPxrub9EeK1BeFmfRFCvRJXtkmfZLMTzi66qje1f/oRBnSR0p5 uznpLyUuTPpLiWcVCPs2t7FO5kXCPon8TDh/Yp+oO+xXkXkNpH1Axtsiv5WF vUJY2CuEhb1COLzdMS2+j7vsH/ODfFNV9uTe6H3aWfZnoc8XFvYEYWFPELXY 7/iJM50s8iU6CuT/ajzxzpSvqbayfQt9vYx7/RCfcGP7B52wsA8IC/uA8Jrm OunJwDyyP9gHAtV8awX/OdVsvisH+UKFhf5fbH3uaVVn8R/ed39ERoN/OlHz Y7W7q8pn8SVDDg9ff1Avxn4/aj2v6W8pxxrF5NpD/nBT3t1CGrFl7KFaDiyL D9sZ99T6pUYMGdK825DmibxZ4QNNCh/QGL53h833t6Qom2tV8yy2UCvjaPRF n//xr6OVfvl4Xwt7hLCwR4gWpvsarVhJ4305Rr2l48kDa2KylUY+lSpEztSK Hx4dHTOTciSdwt7sPGbCkPuZhvk/bFToIZ9OXmFhrxAW9goR9u/1p9U6O2l3 g72itZof8FnI7BmOA5xkexb6fmFhfxAW9gdhYX8Qk8YUXj30obPsD/aHx2r+ xF/zRh6+PsRD9vdwceku3i3NfoewO2J9WtgThIU9Qcx8d916QDOzXXG7e2hg 1AwPiXF+QH5KC32MsNDHiGvNjRd86GX9IVtXltFc1EkMOQ/5Q/H3XtrnuQtd NAL+QVjn8A8Chn8QsN+9hCW/i0Of7CrX1U+aJ+TDkesc/jbA8JdBe/CXAYa/ DHC/zg6HBtbykP391+OOX0R+d4v+3QXy/cB/BfXhvwI823g9YyknWR/8AvmT wA/8WmSu6/TKQ8B/BPXhPwK8yZS33kZcNuYL3+8sZpny6+cRe0z3tbiI8jXt Ww6t/1vaMZb31lhvq/Obd/N7tTEp0knQPeqZ/JlRXp7jInbR+lawvufQ+lew /ru+DagztF26UmH04x3nDrmLQx/9HrovS5FxT1jv6ZcarugYao4DwvvAfwTj gf+IfJ+7o39VeJ0t28N6vqLm/4I/CJ6HPwjwqawNvuePmeMW4H+BcvhfAMP/ QtJD7aN/raY5y/pYX6BX+Dfgefg3AMO/AdjB99ynuJIa2V7p3qceebia7fDP T/hYH96mk7jriuuJJbrqZF6IFTXDl9cM10qM/RP5QeBvDDqCvzEw2t2xcfyp p+lOAv7F2OfgXww8xe5rw30b3S36sxdtJw3SVTGUw58Xz+8rPzs4uq+jRX4l R4F8ME63ZxS9/9ycdyI75FNS3025HNjW9mZg58t5ZH3EYQ/e3Dcob0ln4XD5 dkivmuny+dzjnr2GNPzDS+/d1ynrtK1wtdt4K2tvFj/e5mOeFoPsxdNnb6+U ykrk9mHzFiQ42Is5RN8K6Hst0b8C+l/wNWSTR2Cq8jJvrT6VC5vjQjeY7r9z ENNpPbHt6nqieyJs2Fl1vYE+K6n5f2Afx3zBPxfjX1xjwZ8qg+yk3wL2ly1q viHYs/G94I+L+vDHBd4QVCbshZ2LbK9D+nHHqtedJJZ+0T0oP5KLTelwx34a WX5r8MGe/53wkBj8H/mf4D+K/kaXeOnj09jsd5FvsvFiVx373++vZ8ivJeWu LW/fegyyFbfVeCvIQb3UeCvgamq8FfBlt8FX3AbrJF+Mu7ykk1e8VmKsB+ST wH7gTfs+8lVIOSldjV9C+0/V+CXgsmr8EvC2iFOfD553l/3Z3B0X+iM+j8Qz bR+X2DP4N5f5c/LnedKq7h+uSblar0xCNp9qinvI4hNr3N+x9o3hZE/0qoBe 7U6Y6FkBPYOe7qn5Twqp8S9o/7ca/wL8Qo1/AS7Qb9dy/29OMt8Gvn93Nd8L +Bm+R281XgX1q6vxKsB31XgV6Vf49lOz+088ZPugF+TDiWi4OLhxmE6Wgx6Q /wf0UM2ql+dqp2w+RI0PhpxaWI0PBv6lxgcDz+ry/du11jrJJ/D9X1K8sZR7 YxetvTb3iczPIPNhlFbjcdFelhqPC+yhxuMCH/1VtWHqTHdz/pCVNS7+2vqb y7jSvv0uLj6RyVE+m763gu99hOhBAT24qPGhqF9WjQ8FzlHjQ4HXj5s1rWSc s8xPge+H+SuixnfKfClqfCfwMDW+Exjx9IgjQzw9MOLXgRG/Dvz5wYxO9w/i HBXsXa3c10DrEsivGOwdXO7gAQcbD5mP4OeJohFbbmUo814Nm3LdIVmp/Niv 7iFvZ5lPIKTM1N1dXTQSY786ZrpYMFHpRfkjBPTBNSh/hMSDKN+ExPheiEeP pv45+sf3Qjl+WfzrDLEhSUG+DLQHfozxIL+F1Ger+S2Akd8CGN8P/SRPXHqz sZ9G4lVNRxQOCvCQeN1F5wtKbb3E9R32xr8VOonBDyFXgR8CYz0gPhb863/j sa1FzvgG2alPshTki4FfBPgbnt+k8jMHol9l3P/yM/bNIaDlibNZHM/j16J9 mT8A/O2BGo8NfoV64Fe91Hhx8BuUg98gfh160URa74jXl/2BH1nkB2DIDwB5 C/s25C1gzCfi4SAfoRz5uuAnh3xdwJCP/jce2FEgnlDK+/NbZ1dIz8OQbwv1 IR+hPuSf8rRfMMg/p2g/YTW2lZha2zNLxoOC7/nuuuzuqnFkkI+cST6SeVi6 /F1XpnSgPYM89JrkITlvGB/ybWF8+J5V1HhT5M9COfJnAUP+wfgs5B8GeQbl kGekXKXSRxLJMwzyDMohzwCDXhAvDHqBXgD5rGQ+AlW+QX3INxbx3Azx3NjP ct9scvkvxpEh3yn0Ash3Cox8p8A4z4LPIP+njP9Tz58ox/kTGOdPxBch3yba R75NYJw/UR/0iPgr0OND0wJ3ZMiXifo4b14n+ZfhvBlI8jE7GN1kf5MUG9k+ 5K6TThcjIjq4MZw/e5H8zXD+fEXyuaTXyGI534rluLAqOQvTfznF8TDtUl/3 4Q6sbYG+U141T1cOr656LTbQXdInxot1LcernicxHtDrDTUeD/k38Tzyb8p4 VPU8ifo4HwJjP8b3R35L1Ed+S2DktwTG+RDtIZ+kRfyoxDg/yrwT6vkRGPnm ZTyYmm8eGPnmgaGfxXuA38F/Hfnb8TzytwMjfzsw9K1SzlTpE/74OCes8qwZ Ik64M+RLR33kSweGfvV/47kcBeIXoA9FOejtgBq/0YH0FbwS6SsY9Jn9SZ/B oM8cTvoOdqGrV9WiFTKlnAV6dCzabuvT5loGfWdz0ndK/tl24OgHfx8a+Ey5 ua/Lzc2QdnTNSgMBHk1Xsjo83RDXXMegH91C+lEG/WZp0m8y6DcV0m9KvoP5 Qv5xtI/848DQX2L84K9t1Hgg5A/H88gfDoz84cDQT6I9GUeoxksh3zaeR75t YOTbBob+Ud47oeofgcGvET8Gfg09KPJdW8TTmeM7VX0k2oM+0iIekCEeEH6X 8AMrRf6X4jP5X0r+frSxS54GG7VsVq0iZ+9X1Ep/Ociryz/18JqWomW4X0jm cVXvFwLG/ULA0FviPe+TfldirJcm/O/+MgN0DPf5oD7u8wEOIf20rI/1An/0 bKIv3kSlr9ZEf6KcSn9N1XMz6k8heuWgVwv7AbOwH7ALE6slnS4cwx/rOqyf VdmcF2r7zxFVl9noWN2R2s0vpv+WeaIW9Y5bnN/fSvqlN9j7pc20xTYS25I9 A/e9Sf6t3qcj1wfmB/fdyPlV77sBrk/2GElXFvfnSD6K74n7ZFAf98nIPAnq fTLAZcmeJNu3uL+G4X4VPI/7VYBxvwrwf2QPk+1Z3PcC/1IG/9LUsatru+7R CvyCnuFPDH7VhviVaF7l3r/ksXqWZ+iAtvsuyfu4GO7jwvMdST4U1cWJVv14 AoecgPKaIT1uJSy3Fi/T/Xp8O5Am8zYFl3yQ1XVmunI8yKFFo2/WwipvbIUW RZxkPsotunbpM847SBz4KunM/Hr2Ehf+9q/YlX22Eh8ZYDXjW10nsa1zmfpd N2bxEz+bT45IdBB129w83n90Ju9mDBvb5iQiphsviPzND1J7Mv9iUWpP4ky9 aTzMYjwSK0v2T738xpYdZR3qf4jN5GWM9zP2sFfvjc3i2b5Bw0862bGjWSWW BSca5PLMg8nrTrqKEaZ9I453PzO6xNx6NtI/bFW3fWe3NraSON7ojjbFRlgZ /fwdE/haKpf5DntRfYkDZnXnb4dZsbPG+zf9fvF7xvn9+0+JLd506PKjMdy/ YtbxpD8a+XzxPpuTf08240FF+o/LCfeQ+HThFYfGjdaZn//ZuGqhZK3EG2+m X7w7zYzrbBl44vgPD7YlxPvwkYpJvG7jK5PT/2nY7yaTU72WJfGmLz+6eS/R sO5581yZ5JvAqzSZmelmr2EHdyZ62nSN40lHWg8rfkdv7i/a/taHjmbcsdTd fJu/mMczzv39j+/ROuaTqRvge+AX77i/XD/Xh3q2osDd23dZEo+ZENT9UT89 u398SIfxSgIvb7pHVMeehxv/xfHsPfdqeZU3++FOSft6pJwBn4+48zBfxkXu 9NWnzPRoV2mP1xQ5qy1y1kXi/1q3iNoQ6yom9Fl9/Nu027ym78EtJ1ycZPxG cDPnQZ+DHCSe+nfRwpdl7SX+6bguydGYZxr4x8vq1fI5iX1xx1+4PH/F69a8 OWboGQdxptUzhzO1XnK70Li6jkWdRMjTfe+HNTjPT1+1XrTsuY2sf6+I8UJk K4lr1rr348zybOmvOLGyMWLIRkwKLHRmwL8nfNe94mcmxdqIgpeMFxPf5g+p vsxPWY/qy/iQc9SfLN/+eFCbhvuylbjh24scDHrNDxn9gdOs2BLHspkNe4by wTMH2+pvZisz8uizd584x2fQ+8v6v+j9Ja5M88cs5k/ikqemjGfbbdmpf3Ua jtK+5lcXhHUpXNOeHTPeh7r+Fd9vkvtt2cHJr5oX6HuBF8x81N5/v4usv35+ SNze/s4SJ83reqtNSQ+Jjbez2ue6SdytnM8v8dFV4u61dlWwGunMZpw6865F 61fc23S/qgs73MfOIMm94B16Ty54frwz25G1rnt64cv8c7mCQeXizX4fmTOf TFUMuNDPqxXaHD/L/VzKlnHYoZX5Os9svFw3wtOMlwYevH1zh0Zi0Bf8NUBf wKAvYNAXcJeWF0owRyex1j4pf8uOn5SndUO259nnIMZf2m7YucOV+Uu6+T1I dRR2ul6tCr2IVEBfqA/6AgZ9Ab95Hb1xzgMbsWH063X3On9V3Ez7gY1IH+sf Hh32TQF94XnQFzDoS473xPnyMxdkK1MyBzysEvBB0Rn9GhOt2ArTRbVhSoPU N30f5s9WtpnyTkYpoC/UB30Bg74s5k/i9OZd4n+utmXdds/Vhjb4qLQItj96 saQ967Z9QZmq+z8pe91/7HMfZcta1jL+i1ICekbn1tyuYS5H4sZMXhChNCn6 pknRAA3baLw/+EiU0vzTwmffwg37uml//q6ElPz4d94nPRsRV7aGo2eUcor4 q8xHWoz4q8QbiL9KvJb4t8RexL8l7k/8W2L90pfVjozQiXWBlTzzP0lW7vyu d3tzlFa8frfybf93qcqnY+X37puoFdvSau9/0iNFqWqdPcGrk05EtFsWe+dt uiIGVBj1PVIrKj/979mHEmkK9iu0j/0KuGi5jRNLFrIRGddzt59zS1UKLxtY cNn+POKX0e3SK0M5ebLEP+/v6QrsaLOMdrT56YqP0b28d7qC/Q3tYX8DHjnh Uv9l+ayY5q2V5zGfVOW8U8VLo07p2X/vu5fr6puuQH5AfkDID8CQH4AhPwD3 r1lgZdJfR9F856sEL9ccxcF0D72DeNyi+NR11jnK7r6Gg+FNRzHbGD9S0YpB fkB9yA8y/6QqP1iMR+JN1/3uJy61Za3Ff6fL7slWAipOq3bPw55NetHHwGly 5DwFkL2RwZ4OORTlf8meLnFe8qdhz17crZc2yBxvN394lxPzIjUSLy3lMCqt k1aYfl/p5Xk1+3ff47u36dnRMfUGfdDrxN4yP6Mva/QC8ePOFD8uLOLHxZe8 Kedr9tPJeL2oBvs/nAsx4y/pS76tTNKLaydSbrDP5ntzeYusjjnR5jzGwJlz ayWVOBCulH9cbsSbHJ24W7mecDv/QQnscX7DMRe9tMfWO91nWe0gnVja2jE+ f2iKsqTuy5F5wnUie8ytW9qzSQr0Fh2veC2N365jZ1p8m5XX0H7pW+XjCmca znX0K/K2e5W33UQdezhy14OR/8xxn32/N+/3vblGzK2yIat3myTpL1Fvg92x uXGf+KG5cWNuFNCIjsYL6OM+8q9Guc1TI3xfN+hyJ+0Rv3R9Ud2fXTTCcVyc i8efEP5ty62kBYpGTKNyBeXFqVxBeUdqX0H7I6h9Be2vvn7F8F+qvL8M8+Fn 0mt4iMKNup+pODlR+v1hvqfMnFe21HlH8d50kfgnXtAkXzqJyhSXoOBciPfP 17JzsSYF7ESj3okbdq1JkvZMlIdr+oZlZufwet39r08PT5L2r4KPnfJsfZvK oSeJm+27xeu1gb5Ue9EEwgpwhY5GB9EEZZ7pPuxUblv9yuh+kxKV80sv/9yV N4VvzmjYcXqATuDe6Y/To1KbFtCx9ouO3BarP3Nbildl9SlelWdRPCuLoHhW Xt95TNnKefQsed70N7vjwnmrNfdarrHVsxYppTuklP7I1wSPyThcVMfqmPj+ C75t0fFRgZ46dqjYh5klg1/zVe/45ldFdaLhkRGb4sq9ULZQubhF5YravnCa b2pfaUnti/7UvrKFxi/za69dezzHem4Shz1oMWFpX0qrdCuiUuMk5YPJTyVR wXzhO2N+Yc/wqPyu29ZLqbz/6S/5m1llKi2MYml2Cp/4ppG9WJeleNHzCp7H 9ytE35fh++Lci3kOXDCo1M3lTuzHjHuzvlQM4Ts+L3qoneYk/ZinEz2xZKIn pTDRk+Tbe1Ifru8x14mBvqCvBL9Z/K1n/qZ93NkYoleZ/2wp0bfMbwM6IT8j 8zmlH61PhvWJc3B9iv8WTyn+W65zrHs9rXfxiNa7jEdGPGIH4hfiLPELFpkx +cqr40kc52+Mpz7xHzaf+A9fSvxHxn+m/pr/7mmMgQ6Jn3GVn7HjxM94EPEz Fk7tS/2Hm0HceT43UUkznVd1DOPGL/gVxv+V+K+MlzxG/JvtI/7NdhP/Zsj/ sZj4N0P+j2vvQnceq4u8HXmZRTwKu0rl0P9Ivo54FbfGSy4sjfrB7yxff+lM H52wIaxwFcOvfdTFyOX7DPPukDhHqdPvgTIxlUU7nHYSL+7G9ui96I68Dwv+ 5wWv9nULueckn59Cz7MK7T8l1K8azfNXObf712Ed21v7+6fhBSL5xEbO74Je 6hjGc5f6Zzh3j6b+GcYn1PLPtD8xdX9iKUsdg+LHqn7eRfSiwaAvZ9/76dmD 3cXblzX8XS1nKH9aJzDvppF61kOf5HGpvF5MdvoR+maInm31m5NZ9D9ZX6j1 WZLa/mWqz55QfdGT6jO1vlDrsxEsc8+/POZftT5D/Vem9//Gg2ssWpnj7yre llzb65azXp5v/efky1dsjhmPuVFxesRMveSng4IDHac7mvHj9PC5D2fpxeqA qRWeeDzj+RbUnh1twCUvhE+J0TzlPz+38D1saD964tCxKwrc4mNvOt/oasA9 dzYI2tDiLi+Z+OZKWjHQU7D3OxqPjCtQxyOxOh7JH9XxSKyOh12n8SjqeJgf jUdJoPEw30mm8SjjaDxsJY1Hwfw8oflhZwJ7+kb+/sohTyEeovjvTQMbhrmy LiaDwHu+wHCMzc52le9RtlrtB0sWuAmMD/OF8QM/rVD/vIeTnk148GGb0+fn 3Pdm0ut9BhzRwPvwiR6PMb/MYn4Z5hfzg++F+QMu1TGz7LofemY3qcwWvyr3 +MLaJabkGrBnO/9T64vckN8b8wt6AH7we3Cn3Nl6MchhYUi+BUKZGDh6ZYwB 3550k+d7cFvB98V84vtiPkEv+D6gJ+CuQw4sL7PiIbdreyzJ44QTm7vC6umO 7y/4mU5+rzauN8jFn+5U+XQnWQGfnBrVwz/KcA5B/Gd/z9pf5zfXS/8Tx3HB BQq81kkc2iTD+0gfM3b8WeDtle9aiV1ev2nx0lA/4mLVt6dSUvmaG8Grb4Tp RL+aZQfXjE7hCyL5+OuG81Bo+XGejwz7qJu2/c+tKVpxoNgvr4YLk3n87vmO kwbqRMHOF9cFeafyZ0m6Ot1n6qReM3dH7efDrc3YN9R3Rfs0ndDEJth7LYrj 03ZMv/j0j07GC17JChh4fpxexvvktfUYr8vWSfz6wvn9CyfoRdbc40sK3I/g 5UPmlg8xlAcUnb+16PxIfmpc2JHSVnoR3nHWBasrhvnSPx8Sa5A3QLelvLs2 HDnVjL29+ayBDu5iZYfQNTPzv+Mbtrn1G1rYQ/xXs+Xhbae+cB+670Ou97jO Icsf7tdI/VGU5uKCRkXN8tbj65/drILMz0MeciF5iP/u8tR2kZdO9Pau/GZH 9CM+tFtIlzDD8yHdP/8u9PwZH1F28ZrKB7TiQgPWInfAE95uwvtF0w6a9W/Z yRdmHi6mk7hRVOKyfpN17JuJwf5SWlxdOnF6rBmr9CHPPU5EHxK/JfowlxN9 SOwXFZp0wFUn/YucCo7R//JwZ40TdyX0+/BQ8aT8KiyF8qsogyn/CrtJ+VeU MRkhX17m1Ug5yG+ofdqXfB4Sh/ZdPDxsn1bqF9rT+0p+l0vvK3HngXZduhnK 630r1GdhQaH8zFe3aUUDHnGmYMcyde8o/+4vfr7J8Pzgx/sWdz15Q+lql/Cz lAGfOrZv99zvd5Vo+l6SXz6h7yWx8Isrpd+jlfRxpv1F/5EFdRLPzY47W323 ViQWr9m0y9DP3PHMPuu4nVphpSvm3br5Vx7YuuPVFJ1O7J75pM+1rxE8yMmp 4WvD+TCg+KbPH70j+DSiR1ad2lNUepS438ieE9sZyntPbLf4XHy4El/sZYsA az0La6WNPrT0qzJ/9tGT9afoWeblrR92NP2iqOtF6k/y0XqRuPbu6WndDPvr vH0V549b/0OZ1qDLmw299JI+Dnh96B3ZW8+6REf5i3eJiin94DCN5A+a6PUH mt/0kLjWt1K7Zh5wl/i+f8uCLYZrxKH+ow0SRyr/2+bi3P8eeojboROu57RN 5c+9h2WPv+ouvrkkN520NYX7ZH9+uTjWXfKDG9Vy/ONyPSSOGKtfWclBI3pY iw2JfeN4jkvgNH87jdh1r174Gc8f/Ej5cM/fWzSSHzilBBTvsF0jVpV98LZR UATPKHzEdVYhjfxeXi0TFr7ZY8bOZE/mf8meLApe7PZ9nX8Kzy6cfFo7Xyvu 7ruW/K9VGofdEu+J+BvItzgv9yB7ttJEjd+5aZSrJqQoHw3H0JErzHopnI/H kfyt4HzsS/4Y/AD5Y4j/VjYZEPUyme826Z1dZf+IB4D8j/NqvOnvycrkj0Wb HfnhKi4fer1+8t5U/sskDzuKw3t3NYiZmy7vW0V78M/G+WAnnT9EWTXuHufb MPJ3UuAPjvfBebcpnYcUnHcRb/mB4i3FczXe8gjFW8r6FudhBedh+BvOIH9D 7r/YqChM5k1M594YjvMg6CWU7tviH+m+LcXGlIfhl1Lm1ZdHo2ZaST9CB7Kv yfPWcupfSelG/cMuOov8tzj8tzAfOI9tPGoQkGISlT/G/Ip57FnFYrMqVl8d L+8xQn/VVH8w9IfzYx11vnB+xPeAfiqKviefRt+T4fsCgz5hj0d96LMuE/3x T0R/bHFMW03J9CTusPjgkQ0vtGyvaT4TFeOx+Vaghp2YUSvi2YoYec8Vxs9U fwyMH+dH0C/OjyupfQXtg/7RP77TAjq/ipHG61HmxfIqjer9cLLzEOVNvz/4 51rvXIc/dhczj9UZ4xGfxJcPV3IL7XCS+i7oY2xSHziWzfyoPBhlNJw4CZyn oZ8ZZUwbUMFBBLCx73u8tRKuqn7yOekneZCqn5xH+kmx2sGpf9vXdsKrsl/y hCJWIpD0i6IV6Rf5+b39fl1+aC+uO4U2f2/zG/ZLYeVN9kvrFib7pbim2i9X UHssv9reblVf2VttbyyNj2F86niYqi8VHjRehvFOWHSnY5SzIyu19eiPPg3+ 8tNkr2Ww17Yjey37q9prI3e8nsSLuIia2j6deyWm8qMTDB8kxEksDU154Pgg la/3KllozENHyW97jphcKdfLWeJ5vd/+2PbVWrT8OH3ygMHpHPrqJNJXc+ir 40hfzaNeGwPBc7mT5zGf+vPS+FTSP4ufoSb9M/9tu/bD/P1WIiOw/sTLMbF8 O9lfxQvV/nqH7K88RbW//jPlGfklfxNJv8Ofk36Hv6H+lJQi1B/03c6k7+bT afysjzr+QjReFqmOtwC9D/usvk+HJhFJH2bbsLsVXnddX+8nDyd7MvNR7cl7 e2nGlAvXMOd1q3zu3Eznk43X76RrWFAJAyF8Tea3m80vd3yoho0KNgpAabzY 5haBC7Z7sBpny1X4sDiDLxjk37Zaby37VNno+JbBq5H9gH0i+wG/Q/YDVpbs Bzyc7A1sI9kb+NE1qQGfj+tZr31HnWNXpfNTSTo/91t65v8izKpn5RS+JL7T FS+DfGc6tmnSeO8zdr3P3De0/9It/KVbBm89KTnSZbWWnRzrs7aBxw9eet/Q m/Xna9mtiywpdvIvnjsi42mdxToWMe7aZMcuMTy0yrHxD/PoWM2Wnv1md4jn h10XVkpb6SB+Jjf73rnEdw57WHeyh3HYw/5qTfYwXuHXl9nZrvZi3uSExyf2 R/J9ZA8SlckexFuTvUg4kb2Iw/4VR/YvXun29XoHGtiLshvS71YrdIFfJ/ul eKvaL4PIfin6TyH75a4eockFbloJm+V7ei5pFMW9yd7F55G9i6v2MNGL7GH8 Rr+x3f/YW4uNq2pdTt6+lh8ke6zYrNpjR5M9lg+yJXvsTmqfJS+j9mFfm6C2 B/vaGrU/W3ofdl19n7I0H2yIOh+wlzVW3x/2Mm91fgLI3syCVXvzMZp/hvmf S/PNotX5fk7fg+F7XDyR9mvTBhcWmzXk+7awCP7aaHDb7cL8jOa2xZ95ktuJ tYebO7NzQfb/Ndr3nc/KSV+z8JIDcyzod3fWoOu8HtnTGezp1mRPZ3ufkT3d 41LR/YF/3JjbtZP3HHwM36tUo8pNbriyQLvq29bWiub8foPVGx08WJ2jHtM+ +UTxnJ+GjeCvG6ttFDecvvHPxnwuRj9bo76g6Hse+OPNgBuxrmxBvyOaF7sO 8kNlcvzGfnFll1bOadp20hu+st3BEjFVPdgh4747fC8fYVxnGnf2n5EPh93n 6nmcbaDzOO9+8GK7dAOuYdo3bvM7S7R5ls3Rs+J3lzmVsj/A75yvJbTFNGJy rNs6xx4vFV9/2/lLvTRi1veWSd1jXykOdL4RON8gnyTOM8gnifPODJo/MYLm T4E/QjDNnwJ/hFo0fwroexnRtwJ65kTPCug9kehdgf9BS6IHBetrFdGTgvVU QrW/Yr3VU+2vkt7XmuhdAX3fIfpWQP8nif4VrCd3Wk+wJ4tJqj0Z62uVak++ Re2zJH9qH/4Nu9T24N8QRv4NCuj7D96H5oPV3UjzAX+FO+r7w1/BTp0frK+H qr0c9Iv5B73mqvMNesb3wHr6Q+tJwfqBfR/rK4XWl5K0ctwQdlcv5dbzN/L+ dupixgHZi/pp1mhF3uDnA/sV+KGUJP4qHhN/VXKIv4pE4q/KG+KvojHxV0Xl 72IA8XdF5e8igPi7ovJ30YD4u9KL+LuIIP6u/KzUYcdRnVYc3LesyvlRMcrA +D0bDi43nI8OOE4OuROvVCb/IXGW/IeUOuRvJLLJ30jxIX8jMZj8jZQ9tN8J De13yiTa78RR2u8UQfudmED7neJJ+534j/Y7pRftpyJPRdN+qsA/y5X2UwXy gE2QSR5QsP/n0P6vQD74SPKBAvnCg+QLBfJFCskXSiq1x4qq7cG/66ZaH/5d aWr72O9f0H6vYL9vr44P8sMgkh8UyAvfVXs95AlV/lHGkXwmKpB8psCfzpvk MwX+dLEknymQJ2+TPKlAfhQkPyqQL+1JvlSWqPJpIZIn2XZVPh2o2r8vUnvs jtoe/Otyyb9OgX/dabV9yJMYL+THXHV8kC8xflWeZjtIXmXOqnwKe/8uVX6d odr7H33QVPv30UOcyj0xYL1Ox/rP9Wt6oqhGFIivklnor44VOP8r3LmyRsQZ jw0hOqkHEmTPZrBfw95Th+wXCuwXx8l+ocB+sfFVVIXR5nwz0t6Rj54XsHdM oOeFhX1JwL4Eezn6Q330h/o4H6WQ/V/k65TrWz4oRtm8OOukY4xeDD67KotP +aE4uH350N6Yz0I9X0GfgPqK6j8KPEw9H02l85GC8xH9/lA+qecjnDdxnpdx fap/KfSO+8oX9ZxZ2k786VBnxaWdb3ipvas7v86xlc9vdQwKTVtpLSBfw36a x9/Avqcncm567xSlPsWPKIgfwfmtOo2P4fz2lcYn7XkPqrFh3+ZpWcdB5aYN KhfNL+kbntU31LIKVYz/Ivnhg4Z/Qw3nU8rnyXdQPk+2u9vWSw7+Xznya0HP PdanxqSJYVr2kfKFKu8pX6ikn3V3Dtx8YZBrkR8U7Qnyp1bgTx04qfDN6tk/ OexysB+mkP1Q4H1D6X1F+z+rTv9ZFanagbN4KtnfuV61v3uS/Z3fV+3vuIf8 c50Z/uxVEoeeDRj2+yVUX4H9/irVV/D8d3peGUr0xJ2Inhj05P1rTm64MEXP 9DR+nqHaPy3okVnQI6tJ76/AbqmuH5n3DPSz5lnLN8WL5XLoRRsTVh4b1Qfl 3yhFjPmURA5PLPh9y13/90qOSQ+RzU91MshrjZ9IfQ7qo70eaYUPamosVQZk 9J7n+tRJdDGqa7IuKMZ0cu/vw+8+2Ltf+fk35jw1+4kuueewzq+T2a8PuEDf yds94s32uti0a1eHGvDMAi7NfXcEwJ9QwJ9QtQcJC3uQgD1IlRcF5MV0zydt w2PN87LsWEf/YjP1YnLyLief0m94gTIf8zsb6l9+PO1jxR2P+AaPWO/ucXqx L3+baq5TXnB1fFJ/rY6P/S1oGp8Cf8eZND4F9qo6ND4F9qo5ND4F8uxXGp+i jk/qr9XxsdU0PkUdH4uh8Snq+NhLGp/0K1xO88kwnxgv5gP9Yf4sxicwPtin ce8J2ilC9mmG7z+Yvj/D969C3599M+4nbo/4W1PeRzuh+3K34/nzz/niQV0f 9q9tJwYY78m107M8+Y38Kkwp4OY/fLRhX4m8Htb10dxo6Ycb98knt/5lLSvt FtG19xa9+DDrpuujZHMevqp5Zv958VAvZgR0H+a6X+bDEz0o/7JA/u/S5Ocg CqV8PFx8i1Y03Lx5WqPtqn1/gVYg/qOMml8J8SFq/JEo46drqEnP4WgH62JK SP199mN10i9/+bdf3R+30It643NGNVn7T+aPqk7xHlLfHET52GV78BtCPnbo A+Hvhf7yq/mc0F/0+QXtCsdoxYjKBWblv/JPto/yEwElbvqM1IgFDaPu1Vvy T/pzgf8Me1K3+ZE9OhmnDox4wo7Ko9CZE7UC8SloH/EpwK40PzK/PPSwI9X5 gR+OA8WPST9EjH8MjV/6r6Ec419G45f6duS7tqF81wL5rmdTvmthkb9alKd8 nDL/E+KW1Hyc4myxrLPFvhn2ua+27b/u0YtNF7uF1S1uzne/yah3O6SVGPdH RbaJvL2iu7Po1H9p6QPt7WR+l72dWrTrHphHYuQtKFZw9uOmT91EOMXHSf3/ sIvDbyfd/Mvh3wZ6qLK0YttakzwE/INQDvqA/xu+97jwAavmvHUStomlrqz7 minzxSD+CP0jPg/9j6H+pX8dvhf6d/B586fJmz8yL4GMY6f4VPm90L8z9a+g f8QVr6P4V3kvMOZPnS+ZX6UVzafE1K+N8Jo54dXCLU6iXGn30zcP/5P+eWg/ ewaVY3zNKN5bVKHnpX3DNnn33Gvr7cx559S/P39wwCrkkLWIOz+s2b92tnLd 4XvcbJhUN7BbHuFVtUbhgq//Sf8/9Ify4lQu90+1PZl/4oH1swezCpjj3mGX WDJlxY2yZW3EwI8lW/o9MecBwviOFssNrnUyjYP+Du8OW7k7LJnHLG/+WITk kXSB8YbN1O4f4pQpx7kmTzGfD3cy5HhR/vbpuezsa9Yyvwa+D9qPpfalneLL 3k67rBVH+TzGf98YJtE1g8836RW0srzNceXYrq5mDL8v5CvpViJ2W8hRN2nH 0o/bmG9gmLsYaf1p1rPUX7z8nBaDl312F4m1Ktm5vEjkyX+GrL58zU1ATpv2 MPnH+yx30aLSkxnfAmO519Fr9lkp7qKc7sGrnod/8A9Ps45MzraTfK825beQ 9ifXDs+WbDtnJcuxntruNW5kCfz73pWtNuz9J58HvaM8jsoVlIMez8yM3vGt bRy3vdo5/+65DlLuq3Il80mj724S213ucjX8qqvEGrfVDn4btBJ7xLqMe19C I+WqlcFzXvXztpf48fNzFYc5WEs86eAbtytXcB9PsHeC7db2E+LMfj2uWxsd qv5OL/pfTFwSWyJWiboTcG7dQL3Y0q1OyaTn8Upjm15vd6bqxKq6hZrniY5T 1Hgj4U/xRooabyReUbyRoheZjZ7rtXIfiX0RG3x0g0ZizD8w5hsY892D5lPB fOOcg/lGOeYb5ZjvGzTfCuYb7Xen/KoM+VUL9W13X3dAI+WtbVWKvAz1MuOD lF9cnltCKR8rQz7Wl27zAusZ9hXwVeehD8f7h2okxvoFxvo9TetXwfo9SetL wfqFvwbW60ZarwrWJ9rD+kR9rE/Ux/rE8/LeZVqfCvifzEOpju8l8T/2UeV/ 2Mexbr9srvzxw3Ir1lDN/4Ny8JvPxE+Uv1WIP6J8yv/mA5J5SfD8P3pe2m8/ qfxS5klR+SXGi/dZRvxS8hUxxurwzXA7hnxUsM9ifIL4M7NV9w+UIx8V8odg fHhe+hGr+UOc1P0E9cHHt+j3dv862pUh3xviXpHvDRj7WXHaz+R9lDG0HzLI D3ge8gUw8sEBY/1Mov2XYf9HOfK/Ib8E8rddUPNXIL/bbjV/BdaTlTo+7P/w H8R8ID8F1if6x/6P/tHeBjX/BegX74v9Hs9DHgDG99UdebSh9nINQz5H2K8h P8F/Gt+7Oskvko/q6+yZPszHg0E/A/0H9DOq/ZpVbLAruejoP8pq9+FzHhbW MOSDRH4ExCOgP6w7+GtDnkI55gvjAUY+BczfSZJ3GeRdvB/KY0leZpCXsY86 0f05zOL+HIb7cz53a7es9wOt+b4/km/N9yeSfCvxGZKHRQeShxnOP6gP/jSV 5Hv5fW60WenbbKCeWeTPZTjvoD6+Tw6dd9gt43VBZdJ4qH2Dsft26pjFeYpZ nKfYmehkr1/J83jNikE1K0Zq2ZmfJqwAQ4/Qju6bYR3pPho5XzjPorxl7ao2 eVb+UYIzh00/la1j9SieX0E8P74v/N9xnxbeB98T74PzEMrBx0ap84Xvifdr TO+n4P3U+xRk/HuT8sndyrrpGc4tC1s53Zs9z4y7R884+DvJfK8dvqNDdo73 /Sh5fmbq+VnmhVfPz0w9PyM/PUsJ23qgi635frFmjTx8NUe08rwc0CvDrXZJ 8/kZ48XzoMcqRI8C9HiA6FEgPgN0YLQyVRmvE6THTuJ/nonl6zO0QjHGt1xJ 4i2zCucPnm44d11uu63TsAQ+okjB46MW68T6jycWDfSL4UcW+qzIM1snGrrl 9fEMi+d9s3vtdHDWibgf7z54d4zlEzraOt/46ira1mqz+u3wNzz0c2KvR1Gu 4kjwAc+J+qe8627Hm3n2asWbyY5d3AI/KKPOFX1dcIn5XLyrjzK6gqsZf92k /N2kJCvAdYuJ51cKaVi52AsL2xf5pFyg+z+kXvMP+bNJ/8Bi5M8mcfi2q937 aTWs3aL7w7o5fFe+a3a9nmrAmY3aTxj6N1JJqTL0bM4EPWsTbuszeHCEovrP Mod5Jv9ZZeOZmQNHfNWzG27dG3UoEaGElf/o2+uLgY5839d9nRmhrLzaxLPb GD2ze5B/+LfbUYpXyLrbTcfq2cApdWb9LR6lFCrx5XbC8Qwl4XPxxrouycqZ oi8rOpXMUDJPp03e6ZuqtOnhE5n8Uce+P//etE6bFGUt+RezIeRfrPRw7Hxu 5AMd+zUhbH68c4Zy6fS7Nc2e6ViLHfn2J8SnKW/8M3o1q6tnIv+G9z/XZSgt FoUsTbZNUUrVbzLwyKRsZdCcbh6ZhVIUt/SCkedn2bJKA91+remXopTzqFGg l52GnbXNjBmwMkW5dbDF0znxOob4N8SfJFN+ZoH8zJsoP7NAfub8dF+WUO/L EuVIfyCgP+hP+gMB/YF+zbLOaxfqxMEzL6LOPtaKdqMaL9g9USfWtq3Wu9A/ rUguUbhjvdEGervQePtjD52oR/fncdyfd4Tuz+O4Pw/6dH/Sbwvoy3H/FfTh uD8L+UGwnu4Rf1TeEH8U/Z/eml7pTLryrPiTgBktdKLt3yMRtob1bjN8yfZJ LfXiR0Jfe+0WHdvXu/7Neck68aNv6Pjgn/LeMcS1yLwvav55hvU8esCpTR8/ 6VmJ5ytbt7qiFRdvHm1wLcpAfz7d7jffYZi3ds+ip18y3+c32MbW65aBj7wK v7Z6e45WVN1epuW5fem8fNHpYyMNcnFV2q+l/qY2lSsoh5yKfLduJN9I/UG7 AGMgluFcah2+a8c0e/GY8mtwyFGD1wwwfMF0nmT0Vwu2Fnco3wZHvo35JA9K ObwztaegveE/VyyZOCWD7++UVS1vspUYR/KtlMPHUrmC8sMU3yvj+/S0fngM rR9+jNYPT6P1wxEPjOfPme7RSFdO0C9HfLA3xQdzrEe0h/WI9n6QP7F4Sv7E vD/pU0W8yf4Txif9mjt+dn6dGFazb/eNJb7yqZF1YmYU1okKCT+8tuwP42cp /l7aeZZR/L3EnSleX2Lvd893Rywx7Nuf+YL6E6J5peu+FZqt0bH8NgtLXevy ja/dubRsHQ8ds89dWb9moyjenfgpu0H8lM9rpl81+ZtetjdmcakTzn90Ui4z uTFM07N7XYwRde/50LfXdo2N0LPRzbOq5v73lddOFz8G/TPICSnbZw2Y+l36 z8t9XPWvB8Z9jDi/7bW+PrHyN730Qxxce6BtxkQz3hrReOGo93rJ33vli9LX HmXG6vjEJxqfoo5PTKfxKer4xGMan5JB8QHsKcUHKKWXH1ydUMQg11R4sHld 5VAF8TG6hqb4GGVytd+TqjnoWYfvTRt/bxqqRDf85hGxWcdS7l8tvrr9Q6VJ 0P3cxQE6tjkpcfN3q1cK6A9yCegIdDWF6Ikj3hz0Cf4O+gR/B/0fIPpmWF+Q 2+F/DP9Y0DHitXFuvlXpXN0PpeyYpqPJXqmUI3slQz4ctDeS1quSQuuVIT/O SVqvDPyjAvEHybcs7kuU90j1uTuh35aVWpn/CXzMKMXs/a1lsAfgPsbOdF+j wH2NFvctMfX+I2Fx/5HA/UenQ+uN3rBLL1avOeTbcpWOtSH+K1T+y+KI/4r9 xH9ZHPFfmQdY5Z9y/Cr/FK+JfzKL/YRZ7Cfyvkb84r5U5OvCfam4LxP3o3an +1EZ7k/F/ZlpJO9J+RH3vUKOtLjvVe4b6j4iLO67Fbh/E/pyi/s3BezJF8me LGBPPkT2ZAF5Hfsf1jXuj4Q9+BHZg8XkxKvVxhvkbNiNJhGWdsYFn0ZXLW2+ b1GUHtBs/GLz/YzC4v5HYXH/o7C4/1F0rHG6SeV/OhkP+fZufF43g7yLX8Tf I55Wva9KzudCGo+Uw8vQeCS2uA+TWdyHySzuw2Sh1K/8Hq4nTwWP8NGLe4VX zX+7W498BIj3FP983s8uEm6O57S79vnDJsP+fqPctQ3Whn0lYOzyW4+2mOOT lhr9l1z0oqDJf283x32E3eg+Qo77CPvQfYR8M9WX56xlVJ9tO2aqr0yn+gz3 Gf6j+gz3GX7+3/wJLJPGK+NHbWm8Qh0v3p9BrnGj92fq+zPYt21N5Tnyflvk N7o0MOXj71hzPGPrLtljEqbrJT3B/mphH2awD8NeC3sy3h/zF0X3O7L/K+vL 42pe/v/dFlrOqbMg0SWirEnIbqaILMkWskckWcInS+Takj17C1K26yKFsrSY uSpF1vYs7aVNpT1U33POvF/v87v9/HG785h5z/t9Zl4zr/35Wtm6VV7fkQSx +o44cZaiviOB9YD1hPWA9YT1g/WH/YD15L6fz0fkvp+nf/Bvt/MfU/Afgz8c /M2QD9su/5RC/qmxom7wD9Ty3tTQ4kIxudUgdM0J+4EaFsvrNuWTwSZ3LKz+ V4MGzXLIbP0ZjnTkeFRba9ABn/R1J9OfoqCMtxt8KtIYP1miiTPHOC+0XqfM 09mzZdRKlVJl/pJ41gSnjktleufendOvtNSTTe+3DItfJaY+8vjqpjry/eTi yBUpYnqmMiNuZFQDcYzaNTdgq5jetNi16eHSGhIYcSahYbOY/rN1RsdNyTWk r+HSiPw5Mv32lcrPlKx6kn3fxiVEdh90cTH+vqmsjjyI9DDZ8l7Kx9O7fzeM HLtS2V4+taYwPENK/zWf5vPyzxKioavaxSNZSpf+e+eNvnE5kWg1BX9eJ6Uh /nNHGGd9I+8F0qFhsvt9f7yb+rxJ1eSxS68jTfOlNMIzaYtVfTVx0trWcv2N lP6ubx49YEglmRiwxqS+VsLjpw38VVpK10j5torTS89YmbwC8lNX5j+nGcx/ Tu5f9ni0s1CZH9nvjscJ52IZfSSZVdX9L5Ncym0VLJadn/dz99WVfvtEbluZ rPCXyTNH/15utWxMLlm2ffGP8AIpHVdQpvNzQTaRR5HVyuSfDekDzi2JyCKT Iqd+FzYLeb1G/1nwp5B3Ar59SN9vv76fNt+OlF2Hc94I6KWSKqcIQT7BTw7b 9SkW0ofTG+oathUTe4Y/RS1WLBYMNski1ocaUuYmCyi5ee64a99cUvg49cHB 3iL+Pjrn3FL84JayTVxX73CX9c/o3Nf1wK1IstMkbMNLQxHtfr3XozjteNKP yV90MJO/iAur30kvs/qdpILV76RiVr+TxO0kA3OCxXRjXoHW7phUYhy74X+v 8yR8Hg3wwZ39e99bMr8WXX2WYmhsK+XsOjXIk9EvbzfKYvTNtyWMnnEAo2e0 mdEzvsDoGVUxesa+jJ7RKkbP+C6jZ3SV0TMOZfSM+jF6xtGMnlEOo2fcg9Ez Uuk1Z2ofDWVeUIYpSm7xEvHtmYdzBHv2ifGoUhcr3y1VaD/bP95+Yc32m28b sP3m22MeGt5piRZg91fBQZfMilEM22/8N9tvZMX2Gz9n+40WcXhjs9h+Ixu2 3ziJ7TdyqLTaL9TUxf/MMJuVaFOELshxDiW6eEuvKcndzuajzSombirXRTK5 7Nn5GbtSUSvDt+P5zdnuhr+LboqxxjShqLXmGjJy2O4zWl4//ey1ihuHX6JZ 9q/0esjGfzcVrAyOeYIeaWX9oWEowW+jPnx1TbmI4tn+Yy+2/2hns3rX8YeU +c2zbpu+7hokphdq4h0+fckkb1qNp907osxvfpcp1izQkd0v8njES0Xk7abs fbNOSGiLU+xaZ5m+tC/mq0XPo7Lzem3J2duPC+C88vYg7rzijey8Iu684m/s vCLuvOIL7Lwi7rzieey8Iu684kPsvKLIz7kB3dKkfL3FC7PL4uozpFhYesSH 9ChBL7dudHeRte9s6aNvsrUETXVaUxGVLMXOrjHe/fuXo/OfCp+9krXfdTwd eNKwHNVPC7wgsJfif3+/H1dTV40Gx124cshBih88Sh75pLoKzbjrF37srYyf iofvE3z6jgb5vMnSyRbRiY67m1f8W09Mlvq8qM8X0YOZMoWqYz0ZdcUueGKA Lv0dpDdo+YEGMnTln3dtHuvSW3NXXDU6U0fm9+g9do69iPq13R6WsauBLO4W YGfZIKIqHrOGpn/9QZ5WOXpFV4potHt99e3+tcSt6MSqDjtE1H9m8Jqn036Q gNvbN45ZL6SlzxPP5IbWE40Rdl/dT+jQG+oTfu9/UU+ethpc9Dgh4u/XHjMN bJO6KetVDvB3nLnuvIiOWzJ+aP7NIjI/I6/B8IKIvlQN/jx7XBE59/l/9LaB mDZOvXYqe3Ue+XCgVLBKX0zNDpn03HurgEyxqTh/QyCisWvvjpl2v5hcFGja 7TVU5iffDwt94WAkpgu9B/RsqEwn1+9UdL8p63/0Tmq5fd4Xsr7gTd6MP8XU toezzoqyXFKR2W3yUln/92xb93/SvpARcSXD4oJk67ktL3qbo+z+7Pkg+4lM r8iw+un2pU1KL+xcO6BLtkzPuRIaNeZvKX1Y0rB/sqouT8+DA128buMfCNrl LB+bjmb52KQPOz/Uk50fYsvODz3Jzg85w84btbFRnDc+3kCPxSvx9nzwb0A8 Evg3oB/8GxDPBPpIl9Wpqx6P0KJzT8w5npVcQkZ0io3ZNlCLdghwLPwWW0ao dtE2vUwhv3/BB/d02xskoINWlM53d6ggYl3blQl3BfTP2uClqQZlpGxKicu5 QiH/++NWpAfY/i3i/R9DOz/92KePsu0rr6PpK6M/+V89Ka+vgb0r7L/6IC2x GNl9/W2urqGThJpZKerzIqjPS1l9XgT1eX8GzHvzFEH9KwmvFw5pjj+74p6E aq9ojv5UJObtbdfMe8S460hw/O6QvOeGUng/bvd+vu68NbM3UMDj2MrsDXQU szeQImZvoC+YvYFgZm+gnszeQMLZ/UjLn7H7EeYD+wXgVYH8CfOB/QLmA/sF vB/sHdZ02ZH93ZV1fzFX3xfWH9YT6gbXx6401bhZRj59U//W1FWFtz+C/hz6 3/WA5zE8P4vpb7w+of5ffaJ9fVzejnT6D8txwittSO2/+lL7+ro4qeufZ/NL H5O+cVMPDNykTiGP6UFDW2T4KnUK+Figb4D9B/YD7D+wH2D/gf1olijmR53Y /NiRzY/OsfnxrNndR2eGK/FEFjL7PC1l9nkSwezz1JLZ50kKs8/TSGafJ7em Dzld+lxK7ztv1qjoL5OfX7040iNKSrcbaxttqqghw1QTg5bMk+kXAsODm2x/ EA7/kb8vOX8DbY5X+BsI52+g9szfQDh/BQ1j/grC+StoJPNXkPLNfy/31dCl kT30az3PF5GTX2etEEl16Z7Gq2MG++STqSmPAlokuvTulm4t3S/kkyvfl39q 7CKinptIgEGnPNLbeuvi8QYiunXI587BHhk8/bo+VdAvOcDwUPBnhoeCdBke Cr7D8FBQBcNDwT0ZHgpaZ3538ekNSvkvstHC6/FJmTzxZ9skk2mlSIfh5fLx IgKGp8u3Y1m9WQz1ZlNYfVkM9WWzWP1ZDPVntzJ/FXZi/iqUwfxVOJP5q9BP Vk+Xn9+Z1dPl25q9n5cslrVHrV8w/taVRBTi+jYy3UCEZ1gPmHfePB35Mv7D yxuhjP/gzYz/oBuM/+Akxn+QK+M/2IHxH/Sd8R+snqPgP8ic8R+czvgPSjR1 HLhErJSHLLrfsquKVsrHX7IWqCX+K8V+Yd9Huvj/QHTcor1GT6S43+Jhg6Ii atEl2/Fn18+T4i0WP2zu2P5A13P/3nhAJl8XLdJ78nFfDTp4YbS32Xwpvx9T iuuy/6qU4B1xSfiMXwVKUDv62q8c8DMqUZ/VOj/SToh5/vDL+DE52EmpX93z d54y/IyYdh7XrazTmm9E/8zp+A1iJT7FGiviNlVHl28r7mkZ/WkME+VVJuWT iZ46pw8dlOCaN82Lz875huxX5zrY7ZPdU/dMuglNSlFf9n5e/tKuaCiK6qSs f61VOX/I6CQdPv6tmfED3l8P974p4wdYk/EDnk94d7KxX6Ss9025No9/CXTR dKlmqYqDiLqmrVoX9kBIDSaU6dd6V5OuN7ZU2IcL6cRzKeeHzqomZ++4hg3V 06KPvNYMDZBWklpJg33oL03++8Av06FBXWvGklqyty7q9BwzbS4OVXZfpJ26 MnuBNh+fFzhq4+GqqdrUf+q5dxlfq0mH2Z9dB83Vpp8X9H0klFQTtSXL7v1G YporTvJ+FCLB+vj05O6DxFSgqZJr+k2Cn55Y7T8oSkyNBmpZHX8oweMn1KkO CRdTx8OH+29/KeHrTIY/D+v1xVjGPzqefp7kLOLX52uA6+3fu3T59TykdfzL 4dki+u5yaD99d5ncP2GJzlwn2f0x/9VYjJV2IVivB2n/e3L9oJC/T5PHZ0xa sl7A/95nXb5M2bhbQA2aT6tNn/uDeA81C3XbJKAlXd6N8ZteQ1aPqOprvFRA 96Q/6xB5rpY8mZ/16eYaAW0ZpvbUp7yGBI2eEIIttWljtr24atkPcilny8Wc Ydp0z/3Go/d31BDT439mjB4gpsVNTSdvHRLj8l/bFwrXK/f/914HwfMy5e/d tWrXrI6vZfK29qp1zmckeFLA6e+XWkT0+ZrNEicVCV7nrarV7aeInvxwwdRR IMF54Q3SEpn+bLMjIzF7gg+PBw50A3jg0G7c7T7UpExAu0W8eXqg8SYCfPAg hg+OwN8O9xf42+H+gvrfPF1y9cGhDfVHFMsrr7vNxQlA/Lgmy48hkK/VLr+G Bn/Et6ujoe5KZwr1ePpy8cvgN7zLxSPD/BDPrCcPSBA2ohqniOhhHiIK9aSY PbojPx7ii48fbZ21wLWEIHm63hFtXq58bdHLOe61Nl1pXdjRyaWYe16b+rLx CMaDnwnGb2DjEYy/YWCqOnFMM4optd3sMU9AC1g8Ge8fVWPxZny8dMrWFyE7 D2vQ/9Yf1KAQXwz1yqBfEZ9n3oiexJYW9PJX5+txBnHx0Ibj+jgaXNHk45Fh Poj3vW+0cEyn06p8/4J/Q9zrVjYidy0cMKG2jdxU2C3/nzhCLh6mVoXFIz9p cHb0naDOxxHB+0VcvDPUi4N+qBcHbagXB22oFwftmJtDx+eGCqiqi6XuX7iU dCsyKIsr1uD3qbnf9ne3r6vwbaCP+7tZ/G7rsbf3dDRaeP2oqzx/1FGN919C PT9oQz0/aI+K/7bO5bMUu/rqtz59XERCsmzSRuZK8de4r4EFffLJKbsVSww2 SHFKl4GbQmOLyEChmeVfPZV5VAPSPo0sLlfh20OjVvX9+G8Lgvb+mcf0Em9A PY/E8R5vu61dtkWLb3ftNirwma+YLkJTdYZbFaDa1qgTfhfE9HJjzpq4e4UI 1gPoENbjv/UIVWgkWw8E6wH9sB7QhvqU4NcHP046i/dGQE/QD/QE8alAT9AP +wj1CSF+G+xXQF8wHuirmdEXAvqCfqCvrlw8LpyX/9bH06AQXwr7+PKEHCin GZkOVI8eoF5CLirGNaHXijz5YtTUf6nPC/dmfl1g/Fg2HsF4eP81Lt4W5u+2 sPeQ4OROeFLtuWsnhpRw/tdOOERGvhmkCInsgw2Qiga/zjDejo1HML783u9D o+82oICrIueib0IM+SaAN5uQFeRr1rcORSUKNgcOEWOoHw/4QbB+2pz+PoXl +/D+1cMsH4hvw/5AfRvId4J+nYOsDin4Z5Yy/x+CfNKRzP+HIJ8U4lEgvg3W Z0NVbc41MzFPFxCPbMnFa8B3Qz/EA0P8B6w7xJdAfOnKrkkGvW7Xod1/HssI 3qnN0wnEm0L8CtgrQG6McXa0/CtRWacS4h+3sfhH3k58n/lvEfhvAW8X8LnD g7LPuyZI6Pkf1uHGyyQ04UZSXkKshOqOqh64eJ2E3og7eazzT14/poC/C/jf ZdE5PlHrvqPqpSkBl0fqUMBHdmD4yATwkV0ZPjJJZ/4wAvmeoAdcNyw3/bWv hWy+W5v/cN1ndGqR3+aAiBaSY3fSd5NMfy9vSd1ZOuUj31ZtVbRRLmtjaIPc B/mvXdj3IMBrtmXfgwCvWStG8f2khX0/ht9Tw7XD2PrgALY+OJ6tD+bWh98P wNu1kZcpPZVPLt+7OGpKolJu/7Jz4KLUq7p0PutH0A84e9Dvfvrq2djkbyRt zsFLPT8o+cLExZ+iArVV6WmHUI+Lz4o4PqhK3eXAQLvyyHHJi0jrLmr0XvKL l+oNeXyeDrx/qo3akx3XVfl7Fea7zOZDMN9+Nh+C+Z6y+fi8AfhemK9zZmC3 gG9SXFaZiHXt08jH+R9VD5ZI8RBrXcGqy8mE66cqVYp+xPVTa9aP4PtPsfdh +H6I04bvH8Heh+H7YDx8H4zncQu58bAfV9l68/PlsvXGx7fFvPA8n4+GVKU8 e/BKl38e+kFPAjxj7jxgsBdxeMS0HR4x4Anzeb8H42fv6TVEihssXmVumvSe GPfzLGwwU+LM3q49uSzYUnZ+d/b+kv/1KVkrCI/pbsnjFeN2eMWAd8w//zd7 nrZ7no9fgPlTWD+C+QGfF+RTHveQ4fPyfi4FTlVRG7FdsMjLflEMWSP7r1da GwF9JZ3Zpwi8D8aHsPEIxgMerjnDwwX8HQr4O1w/boeXiwEvF+YXjV6z5twu IQ61Wvou2i0ajZWnZ7kLcchVP6OUpDi0fY7nuJ7rhRjwigE/GfCKAT8Z9gfi h5Zns3zhPSxfGPdh+LkE/IkT5Xn3RT/Ibflf6xyymeHp8usQKCMzszkyvUmB b/KBTGbjUfvxoG/A+ClsPIL3gX8L3kfZ8+gGG49gPNDzGXPv+Dm2Gji9gMak pheQK+WZqzbP0+DtfL6NE6dWTxPhsVbY+PChd+T1ZmHJGTsRTz+rk+IshKtE OPartZ2WWiTpIRS4dHYU4bfv5IF+1aj3iy/h1RfLyb7VWlZtJdUI7r1eY/qu SyqR0IbE3pZLplQRDl+U5jN8UdLC8FSp9ysFnipZwPBUaTTDUyXRMybu0SuR 4Bzd0tQHAVXIVuxSdCdfgsW/xVtWNVWjyVX085FPEt5+Mzy1Z9jANcr2RIa/ i4MZ/i46z/B3sR3D30VrGT4uVl2kwMdFLgwfFxcyfFw0gOH/4iCG/4tCGf4v LmX4vwjWb9fAXZmBr8W4coxFjhB9IMOPjHfr8laMgzzur7R/KcXV1b/LvK5U ozyjHXerY5X2IYiDgHxyoF9Yb6NsxXojWO/vt8Z543pd6qL5OmVzWCW5Hjjb zfWKiKrd7j75s20OSflcpmEta9/yc/o96HgOCRsgT3z/yuQviQivLf5wvbzs C2o2PzwzRU+E83PnNhqdzESLqP8RpyFKvEV1hrdIAS+i9xfj0AEdlXVyPFpj Am0TxDQ+2Lmro101ivYOXut8QUgP6GcKszqCH1pIfa4HHNYvrOLyRDvQfIbf iQC/M5XhdyLA70xg9ESGMHpCHoyeCNyznxkeJwI8TsLeT56z9+M97P1c3qcQ w/dBP3wf9IPdaDf7Pfy+QLvPPa2msO9KXBbAn4Y24E9DW+Wm5RatPOU6QVzZ WK7uQnaOFe2fVsHHR5as/bzizVMpFoZtPNTluLL+y7rtDnMX+Uvp3qTWI8eK ywnYzxZGSq955yYTI8V+qvN4/hYKvUOF93PAeW7IOvesk3oqCprgv3s2FmGH 8YO6azaloPEzl236Cyv97BPEe+oXLdPBG/e7LFy+p4zDV9DBL/ed325kmIdA 3oXxy9n3YV32fQjseYD/AXbBYKYfEB2mH/Dyhg+7jyjoD9AP+gLjN514eQLG R1ts0b+S8Q05RY1qmf9RhYJ+U8P0GwL6zGmmzxB4fpiiTt1PEqz4m4tmeG9w 37rtN/Fj54PA+QD8FrBXgTwEeCjcflFuv+jyJfK4olQy5WHdaeOXreRa3ELZ TZxCsBy/JLeVcP2I60fr4xX9qDvrRxOvdBHMvRVM4hV4lG2kulQOGHWPOMpx 7+vaePmonfxE28lPuJ38hEF+gvsJ37UZts5bk4ZPX7W+2D2V6DwxOTRwvSaF eiK+rJ4IBbx4FYYXTwEvPoThxVPAP2mHL0IBXwT4XNfUzXZn56rT1/F95q5R TyNjC3zMhM/F2EweBr4lmZTKgeReivGN/u9fYc/9aNp7jXFNTiJsM2Pvg0K9 cDRXXmZbdv99VPVIWZ/7Cg1+caTmlL0Ir2f8CQF/AjsR4EGAPgh6PeiD0M5l +Wa8P7PfP2urnx8U48dvQw8UzJRSB5N3F/Uvi/Hw7HFbP2hK6eT93x4Kjoix 3XXHHD2ZvPSV1S9AUN+hy3LLHtvvlPF2Z+B75ppo099ztKnhSs8556iQ2o9a 3VvNrZLHpzdg+PTId0CO5q8bItw5XtOrNvYt2lFldH3eTRGeIz5w6bh9Es+/ RzH6RUDP0C5sKE42x01obvIVrNPYghY8TBmeaN6EJm91X760aytyYvoC+sD0 BV5eHc3uC3xqlDhk/eQmVFHYfffecDVclxr1M8KiCVke9HwmoWo4xSrU62Nc Efmi3+rlqarBy78gT4yzG/k2bFQjMntT0PS7UJPPg4V8U7AHgj4L9kBow/mC /Eewg/dgeCh4PMND4fXtRWx/6Ai2P3gS2x/K7Q92YPkn5B3LP8E2iecmuc+t 4/P7MhWEUE/untr6bucCCYb8Fcjv6/123cepW6XY53YvZPSPGGecPfflk7oU //7c74++fmL8v29zZ7jVSLDhhIYp4eli7PJq9XKPbrKVkszTdQwU03P+OQsa RBL6ZZBa0JEIMQV9EvRbqK8A5wTiEZNsFfGIBOIR+7B4RDKO5TfQHSy/AQ1k +Q20D8tvQMdZfgOVsPwGBPUcQD6EeEjND4p4SATxkCqKeykfBTP5AS9n8gNK ZvIDPsDkBxTJ7n8CcesglxY47pZJPGI6i60vj6/C7Bj16A5bX8C9wQkLB75O lp0/4E/JTJ6m4uUKPB4EeDxWDI8HAR4PxOsDvhjkE8BfyCeA/JQ6Zj/Ep5n9 kNRsM8+336rM7wD8ejhXgG8PbZBHvzF5FIE8WsHh+3P2UrqD2UsRZy+lpcxe ijh7Kc1h9lJ0yLRormlRLrFR7OtvBPrTP8yegawY/heXD/0LQb4Q5B9AvhDk H0C+UUeWH4Rh/T6x9cOnmH6CQD+BfEg4P5AvCe2EmP14uIxuE9lf3ByQ0NP7 lJiSZKlf8RsxH4d92aitcEiMBB+xcg9sG6WMd4D9BP31yvDBFT33pqJqs8Cb dkZSfBF9XxdqnYKe+8+kEhMpHrHQyS7AV4JFOskD53iJ+fMP9jPgx8yPKaIg v0Lbb83uT0l5leR4n2E9oqdr0YWHlr3PC61meGuPNXm/ns6tcxonBitxp88/ wQfyE7To1EgZm0KVnDyqRX3ZfOgIN98yNh9f/wjkX5gP5J/t3Hx6bD4E88F+ W7H9JrDfYL+C/Qa8t9NsPAL6AHsX0AfgwwF9gD9nEvPPYPDfMDufNgZ+BPcr 8CMLxo8wrJ8P+728vOnHfg+G9WHnWAsHPA6rsN72lDyT+1tjNTGs1wnueVgv wOOC9RKz9eLlRQ9uflgvmH/0CmP/+BP5SNyrr7vXa13sxeiHAP3sZfRDgH6O 1g5+9uDXNiJ3U/abLMWHCuS4pRFkvRzgzfL/66ft+unRZkU/gucLWT+C5wcP 2x96wU6JVwd2YS5/graz79BWJr8hkN/CyhTyGwL5rZDF11OIr7/K4uspxNfz 8fdq2+T9COLv+9sp+lHcsIiR3sMuoYZT4UHefwl5fT2r5c4e38lCfHmPU16o bxrZNiUg456hkPcrQt5BO/ss/D4ezxLuc5DXYP4MNj9/X0M7nL0PubH30UFe qm8H75LiOsX9mUK4NhUoXpiKAB8S8q2MGb8jwO80GL8jwO8MGb8iwK+CGL8i wK/gno4vOtLLYbiA5ubKx+cRz4homUQmoLHSEevb1AtI11m92hLnCWjav50e r3LLIXqhpuaxS9RoWJyow4/1xSRQEBXiO0cXZzP9iIB+ZMn0IwL60Y1+CvmU gHxaMl0hnxKQT51Us+KOVyrrDymOgUxfPJF536KlsYJk5fSNu1ErofZGbo+m F5eS173G3guQjb/xx9DAgccrCNzDl8/vHnbrehVybhh76fdhpZ4lhyveqiXB 5vLEioklqFLup1KXYBPP30bv1cpR9Mc0ra39xXjfuV9Hha2bkDurn42lBYr6 2WhxRdA/jTL5wdF7dk6eWzEp62c0Eh+R0Nf6u3ZPnV1I9jpG2pgmSDE7j9Xo 3W5PP5vXyvotIKe4F0c27skU48A9dHdZZzFdQiNnDF1eTNZuKhg+rpuYSnpp 3nm6qpC316d2sCml+iLsGRz4bmG8GMcPj9UrK5Xyfhn/HaaXd9yX0oTjw2YO eieG/H5asUxxf/H+Y5BXQZ4Gv2G9+ZjMu21tJOJBcMfonTW8v3HBqZdF65YW kzjXweoOO5rRIs5eDvJv3CJmH2f6vyp/P4I8DPI91CeD3wP1yCD/2IjlH2PI P57J8o95nIJXTN7Bzz9ox3xYok1bomX/c7qSuKzbUzXvnZDGlh3M90sqJxtH +qQMTBPSCHWPXmarysjLUdNWfswXUr9Tj0f2n/2N1B8NeFH+SUjHq/beeaxP KXFzUL124rGUr/vXzn5M4f6sYvcnhfszht2ftB2/pnO6J1w3V3+FTBPy1qfL +LrxKIX9GXH2Zwr8HOYDfg7zfTuZGK3TXUrf50h+Lv9XgnveT7NfryvTmxqd PR7lSXC3mX+sNpkqux9UNk/MHiGTt61UXZNTlPURE2JP7NidL8Hn5J+lKcGh c69dtvwqweRI54/++hKe/zxm/Iceib7StKx3LM/vIX4xYLzdpu1Rmrz+BfaQ 58w+QMA+APcH2AMg3gH4KcQ3AD8FegR+yttbOH7K7Qf/e3i77dchsSpjpXT5 P2cjen9V1i/U6x2nsui9bJ9+e7gNnyKlDyI+LH2VxuFDmkvpUjaeryfIjcfc eMyNx9z49v20XT8dpMfiMSHeE+IxId6z3ffgdt+DizUHz3KT6U0XHdGfvzLT CfjTwN/mz+I9CcR7wv0N+Vdwf0P+Fdz/kH8F9z/kXw3aEGWZdE9KHXu+igk4 VU+4+tJ0GKsvTcy9CioDZfK3tW/jkDVPiwhXz5suZfW8yU8W/4Mh/mcsi//B EP9jwOLneT2Wi4/HqjaK+Hj0kcXH4/EsPh5taxr08JC3mB72Mj9ntKCCFOpd 7rRSdh/7KRaoBAHd7kWvl92rK+Hle91X9c8Fp2T6iuRJ9xcLRLy8vO+Etrlp YhmJiEwpm1UuoqNUg20Le1SQ8Qa99qfGdKRcfhdul9/Ft+vijuflOkqxeIrn nbVvyiG/C7fL78KQ3xVZJuhoeFiJC/0Hy7fh2+ks34Zvu437ueXKSTGtbSv8 WjWtFP16pT2gZWITr09qDQqqbtzQzON2xWbc8jTMr0P+WffrPWd2wt7VcbHv Zfzh7ors4w7LipHO29DP/gZiahL9OtzeKQ9hVp+dQn32q3L3UmY1cr74sWmC hZS/79NH19uMzNDh7yuwX23fYzhz6gUJHa/43jdo0I2ZRi2dlTjIMN6KjefP axabD/uz9xHufRjyW/h8By4/De79qFjXqgHJGcS0OLHuYZoaBX8H2KfXOJ75 LDpWiSB+Ab7jglnXMW9ThXimSnTnYyEaNCV94uSEJdWkb9/YgAIdLV5PsZa7 sSd9R7rFl9Z+n/0HLVz2gfTxAPztP+gAr+DXXdy+EbX3Bwdse6LMZwf5L4TF h2JDFh+KDqoYDQqx1abMzlFNCk/sDxlZJMGXfy51ut5Bgrsesb3Z2zmRjJOn xzsK8RTWRmNYm+opLrJbKCnUpXJ/cxu6HhZer35Mm1rXBahdtS4iR0dsdbkR L+DtuNXTL7ssjxHQfWsfXes2tJj4yvGaYgU0Qc4/XxTy+Spw3l66qF6xmF2D 7E6Pjm7I1uDt5NGXNSpN9mrSAXrqaKMU+LkmpWw8mcPG8/Z6wsZjIzae8wdr YshPapdPiCGfEPIN2+UvUchf6iNXoyd9QBK/kiqnkW3oQWSU7F8SH78BdHeq ZHpvpzVt6CsbTyzZeGIYrxjP55kI2HjynY0nOzu4qt/r8pSo3esStiBXjHdX 3bZOXBHLx6MAP1u5parvjK9ibBksL7hRScCfFSF3mwqryJeQqXke838g3crv sn8ZRC8oThg0uZVceXLUq9k4mzRZPDDLiRNg9QSfD9O1CsnCrhunPJmhgZ8e iMuLaKxHSQb+yx8/1MJpg3w6ep3MRfdH/9X0rlUXQ31JPl+Cqz8JbagveZzD j+iM95sN66k8jx6K85aFbtitXWjcX4TXWaL8YdUSPLnpXkyJ7Pc8ObD90YHt SjvptcyI+7c8tam+t6EtQSUk++jfE6fI2rotd3y155eQHex8kJ7c+QB6APr5 9bff9zVu2nSkuXfbgOIy8n+2zwpW "], {{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}}, {{}, TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwl08lvzWEUxvHT0P/AUEVHRA3trdRCjR20pSHUWGq2pq0SZSMiEhSJoJWg g7I0JdqIdiHGSkwRKxZYIJbahZjqc2PxzZPnnPOec977e2/29t01u1Ii4h16 R0fMyYvoodcLIm5gfn7EAhwXK5occYIu4hdipfwK3BW7SW+hVLwMJ8Vmqz9F F/PlWCVfg3tic83po3vEG1E7NaJgWsRb+TLxHzMjKsdGjExEJMRH0PYxEYfU dtCF4yNKRkW0ZUU8VvsI+5ztSo94oOZlWkQKPzQuYpgfpMFX6H3FmUa9++zX j6t8N+rlrk1SJpbAFDNm0UIclkvnv+kxnqbh4oSIBvFUsxvpL7nf+ImVdu4w tx31ZpXMiKi2W45cDs2muTSXvrLrQ3Wv6RO9nmIAF+zUZ0Y/qvSo8xtV6FuJ nXwVLTd3o/gGvNern2/S6+j0iC/0Kz6j1/273e20fAX/TH2tndZjr3MfxT7h A26r7VTboraEH1C7Tt1avMGRnIizcsvllmGHe7TYcV7yW9tpm92qnVmKJSjj e+Tv4Iw7nXemTuwc3URb6bHkLGe38G38ZjroNxjCKvEGvoauwWocVJ/ruxyg heoTyXeafK9oQiffhZnIx351BbSZ/pUfxp/k+9Xrsvgl7DYj1Tv7bmaxukz5 DHfLoJk0i06kbfQFbaXP6X3vcBSKvInS5Hdx51J9y7CVL6f7vfdmFOf9/5/9 A0uMiEw= "]]}, "4960"], Annotation[#, 4960, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwl00lIllEUxvETpGnjIpul2UatoGwgGxRs2gRtgtSUqG0WQanUIiyD2gR+ 2QBF0GiZIlaLInNVmbYKoiiIohbN+plZQdFPWvx53vvce86551zeKdvKN+0c EBE9eDEuYu2siK6ciG5snxqxbFREIW8NcmdHlM+LWERrZkaMXBBxhP7Njqib H9E5PmKg/RSkYkBWRDpNwyBk2t/sXCltpUczI8p8v/R9XJ2cORGrx0Qccjbb dyUq0Gi9z366O31wPo1+pFvlL0EpilCMz/wr8n2iV+lecetptxxJdOG5Pnvo HrUaJkcsceaYuxRZD+UPw3AcsB5CByOBLdaHaT59K+c8d3tDb4nfxd+NJWaz GMt5O8zvNe+SelVzIy7T3AkRozMiHlt3oB1P0IkDYyOqxeynB2nVRPVoHT2J ZvGn6SnU8q/TBtzmN9IOd7lBz9t7SG/OiGhBPZrlrFUjgTRvmY737lGA1e7U K0cZ75fZ/kZSjjPOrtTLKuShTU8r6Ab9P9LXXzkf0j+0YFrEWN9jMBpZ5l82 ydugyYyrxPyUr0+dPprqril4Nl2P8o5Qs0/McPqT1nnLE6ixV0sT+MG/IaaX HuIv5FXTPPWWo4i/0X6lWo1qrrN33LtO54+0n4FR/e/nrhXOXeDvoxdpJV0v rsAs8nFW7nNoE38fhXJ9M5NSM9qKEiT1ctfeHXzTUxe+IoluNJlLs9nf01Mr HniTXPN+hS9qlKh7jVePubyneMcv5p/gJTCJ1463/f+DfEvNv6p/7vI/wgP0 6uk7WtzjZub///gfo+KjKQ== "]]}, "4928"], Annotation[#, 4928, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwl01toz3EYx/GHXayUqxkzcj5tw5ySG8fNIXMhZdt/LrQZl0Y55kaKjSnm LMIcclgtViRpiNlqTk0zF6IckxRZzBzy+ufi3fN7Pt/n8H2e7/8/tKxiyeoe EfEVBYMi8vtGtGVHlGZEHB0VcS8n4si4iPQ+EU2+U9jr2Dk6ogpn+0eMHxYx DtPSIyZlRUzGROSok41Z2Dc+orhfRA2bYPezKXolxC1DSRJxU9R4mhvRrm6R uJ1jInahGkXOC1GMS0Mi6tCaqZb4gziAGBlRqcYl9etwHhdxIdlX3mRns9Wa hZnq76UXsnvYpWy92TrTIu6otd18i+0gX2wepsrNMmc2Otyv0T5u4xYaBkbc ZdPkH5KzCcvt8ImezQMiWnA4qdtxkbm3qvGC9tb5O2w0/xbxx9kK57f0XsOe 4lfTH7E7+O/olck34h+j/2B/y/+FE/Sr6nap+xMN+qUOjrhB7+duD8U30fr6 Tsc3NLp3T7OmoJP/3VwzhkdMx3zzlpq7DK/lvUHCfL3d4YHfxBs5rWyr3eXK S50gx/cC1MjtGBHxHKXeqNa71Oi1D2X8krERC8WUq70CLWhGFa2n2CwxOepn s1e882Usd7YhuSusxzrslrPSu3Xr/0x8gZgK+iJ2VfIMBc4fuNMEMQ/d9xEe Y6K4PPvLxxzMw9zkXu0hz/z56JLzk/8L3Sgw/xe8lP8K99VtQpvdZjq/ade9 7LyB3+KtT/OveZNa9o9+f/FHj2tyP9vjJ3xM/pect9Pr6c38JtzFWvoZ+jn6 Sf4H+e+RoG9Tt5jdrE95xv//7z8NZ6Sx "]]}, "4896"], Annotation[#, 4896, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwl1ElsjlEUxvFDkKALiaJVQ0snnTeqCRJtiamtWUREDAtWiDE0bI0Lw4aq omLamRaEFk3MqSFqQwjRCIm5iDH8vlj8+7znufeee97znq8Zi5ZPX9YpInr7 UzIsogBFKERTfkSn5Ih12RE1KE2JuJYXcTwt4gR2F0as54/gX+eX941YPCSi gk4YFLGA/4C/Sq7VqMuJWEvX4CV/Pz2AZv5B2oAP/FZ6D+38B/Q+fvK/0e/o miumP5CkxlPu6To44oJ737v/Ik3h303Upb4bmGf9CT+D/4v/jJfueTC6FEd8 pd8wRs5ydCQ8fMHEPhG5/eE5D8OQLc6mOchMqDiL1qV7L9T2U5c6T6NbScQZ uol3lm6Ub5y9Y50ZS8fR93jt+R09NEA/0Jilz+KF9CSttF5OS4v0HGXIspaN Sn679Qq6Sf76oWoQHxVvoMfoeDm7W6sT3xPvo/XYj3xxMS1BAYpQiGr7l6h5 Kdr1LI228ueaiz94bgZe4LZabuGv3mbq41O9XqjnbeJU8SOaRnupocM3arKe ZP2ys1fwSq4kuXvgt/7/QinvKd6ag9do4z1MzCivDdd5LWjkHUY67zYaePWo 5W1IzJ38+3DHzN7CEvdXuv+mmRqlrr3eayT9MlAv+Tf4ZeJa/lU173G2s7wt nr/2jpjJn4EKtX7Ui8/4hOF61Z+mIRUDMQBJcq2kq7BNru3YgZ3mZBeemItL eveYrsjw+5Cnyt4a32QynUI78CZxF23Uw8M44rtPF6d6p3NqyRVPE5+nU2kO 3ZnpDlSLJzlfRVfL/5dX4M58NDg7mj/L+mzMxHzxVjVuwWY029eEnt6ln/UU JKMv+mCOPhcjueT//5F/lEOxGw== "]]}, "4864"], Annotation[#, 4864, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwl1ElsjlEUxvFTRJRUoua2iFYnX80xS0wxlIqQGGpIaMWUqCGmiGBBjSsk hmLDoiIk2lqYW+3CuKBCImaC2NCEhRD8xOLf557nnnPufc/7fu1ZsnpmWVJE pPlT3TEiLz+iiubTx10jpuVEFCETyV0iytMjznegfSJ2YTq/Nf9G74isTuoz I3rRpm4RBdYJTOgeMREL5U2iC+gifq0+qVjjrLU4lhtRgdu8M3qfxhH+Kv2u 82tRh/P8O/yd/HfiD/iIGv4lfLP3HS3yIlrivX5j0LxHRL373kJL63vukUxb 4av7NGGe9TN9R2RFPKeZiYhf8l6peY03uCznCgrMp7VzE7SvvB90knPrzG8y vUU39o3YgJXu8dPdVtBBZjUQY9XM7WcW8tLkdMXSzuZAD2VEHMZ2cbGceSjk T8FB+UOy5dAi8VQssD8fR9VcFFehBKWolFeuT7V1DcqxB7txwd4K2rZ/xPG0 iDI9louXIZlXwBvASxdnYLH8CrN5aD3O/Z/aG0/3iffil2d8wXuJTeLNqFdT aB4Znr0b3sl5i1b6DzCzB3IG0ptmel/dDZqtZxIvizajOTTh2SY4+6X3Uirn 7r9v03ttQjt7jd5TG/5t/h2kWKeoC7NOQhtn/3GP3/gjPiH/mfV+/T57j3vp E/EBfiVdL27gr6NnxDv4n9Rt/7fGSXvb6FY08qf7tpf6hkrk3fU7KaVTeIVo 4Y5b3ekc/yz6y8vWt05dqrwt9trRWvFxv50KpIhn8q96hmt4Yg554lwknFlj rmVmtwqjPdsXM81Vn49H5phHi+Ws7un7oc3lNUO6d9re/kg1o3Cgl++dDscM PRqd08A7Ja+ePhIv4Q+1Pwz7eUPoYKTqkyYv9E3CXOf8tj+HznbHOZiF1+Le +f//x/wFto+rFw== "]]}, "4832"], Annotation[#, 4832, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwl1FmIzlEYx/FnpBQaZGeMZczYjWGMsQyikHjNKBQZ5rVEGKJwgQuy53Io UWQLYSgGSWRLNMiWLTeW7LKbC3zeXHzf3znP8z+/8/yfc/5v++TC8eVpEdHK z6FuEZdaRrzrGXHQuHV3cTzrEVHRJKK6ccSF3IjVnSJeZ0fkd47og7ymEUe6 RhxFpy586EHssuaFNWusz8qJqBQ7hrRmEXfbR9SiW9tEPDR+gI/Gn5DfIuIz 7UOzO0RU8QkMy4wYjqRYGa60jriKbfwX2/cW72pM4LtKfiJd5vnlfCrk55uf UXs53W6+SfwaXWP+XHwtvWm+XfyidTvMK/nspHX1ox7qeN9z9qvdVl3i7+U/ ID1D7WocjYlyT73vE0wx/sWvlE7FkKyIoagy/mN9hfFfmsu7V2oPddTHbD4Z 7SKW0jv2yxObb+95SOj3AlqOAvF+WOa5Oal3oH31oAD5GNNcnq5I9d65VmIq SrGPzzznuZem9XIeCExXRyk2uAvTaBJlGMurP58EHUDLeAyi48w3Gw80fqLW x1injqJUTj+LkcB4lGAHrxEYiXQ1F+K2NcutyfTOfcULkIdC9MMo/d2pV2Gv i3r3OtVbz/9Bd7lQa1L8pfgrzDT+4Vwa0Ib4bvwN5/U63fykM6mlvgapGlDj Hp2V3yN/w9lXqeebur7gEzaJP1L7MfFq85u4jiXiB8T3iz/n8Qzr+EwWv8f/ PlbKz7JfMd8R4nPk5yJhPgaFxjXuey7t77lDPAbQr2Jf8NM3NMk7bRRfj0e+ ldp8qnifRoncKbpFDSdpkTXH6QnkyA12T4rQ2zlnqyUHWSmVz0amb7yRe7BV L8fxP9wqYobvuwWt6RixW28P69EV+t45X6YZ1rTBW7xBhTNYaM0i/LbmFxK8 kubN+fw039Xy/3/MP/Fxsa0= "]]}, "4800"], Annotation[#, 4800, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwl1Ftsz2ccx/GvxLbIQldKtXr6V2n/pUStFKO9MLRlEbNw5WKUMiqMOmxz 5dA5lDm3pDcONwRJl6WMjAZxjKSJ0wU2RmwXbhZZFpJ5/ePi/f88z+f5Pt/n +xx+/8TXy2c19oiIGj+n+0fkJyMSKEDnsIhn/fSHRjwfEnGyNOIEGgZFNCYi HmZGTMiNeECX6e/RrhW7l344MGIf7Um7jZ3MiPhHrr94f6O4MGIojsl1HE3m Tc6LqBB/2RpVAyJ2FEdU0/lqmce/zf9WzBGxq2gTr4muxh/G9orbn6rbvFZ6 EK/4V+k1PObfpDfwH/+ieV04Ic8Veko9l2kv+z7F+0jML9ZPL5GTZvBv8dNy xKlhTr698ysHR4xDkv/WPueiw9gH1uuJTu2SrIgLNCnHedoqvoyXXRAxgrbp D3KOVcarUW7eJDoRb1Gr5jrU86fTdSMiZtBVaqtTZ5v+IvN36u/CAne5SO75 dId+C9agUuxaug4zxZePjBiNhPmFWCo+010vo0X6g1Fh/FO02l8lHYckvxTL xb0oct/ZEb35aeiDWXIPtFY5zaTZyEK9+HZ1LaS55v+kjgYxXxj7Tns9vrSv 9cZm0/H2m8frLlOzc80w70/t55jsXGowDblytDvDCmeZkD/dvL74WPwduWrU PtrYRWefxv8EXdq15jTQxZiqPQVP3Gm9/j13nU7v0xxrZKljAH4z3lu9l9TQ hZfq6vR23njHHWJveEPXMZb/OPXurfUKD+znPsp4d3Gbdw3HecdQyLuZmiPP Bnl+kOOod/Y9PWydQzggfh9243N1XFdHtdgZYqroG99WCX+Uesrxr/5r/O4b bE99q7SPuGZrpNFWXou8B2mZtYZjibFHznO12KfOr8MaP2OIsbPOYWPq/H3L 57S7U9+09/ISRfaw1FkvwUjn9A2tMq8ldZfybeE14ys5d7qjPcYKkEApfxiG Y6LYbd7QdjRjK35EOxab2+YuM9W40porcIY3xthYFFurBI28PGO/epeb+Fuw GZ/JnW+9PCStlUtzsBvb1DTbvP/tb3PqHYqdxL/FK0y+/398BwyCxFI= "]]}, "4768"], Annotation[#, 4768, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkc0rw3Ecx98KjZPM09qT3zxsfoy0OXj4B8ZtuTlgJ0pWak4eykNRO9hy cODiQMmclLJcNuVCSrGNllx2EQflQuTl8Orz+b0/n+/78/l9v0YkGp4tk7QB t1Yp3izdEJf80jKsdksrMNgonTikFPjrpXdqcVM6RHd1SAfETb6366RFagtQ apMSaFvwzJkpQ5qGAafUDzPkSeIH80LtkhsqmqQL+tfs0jqMoL3SY0G/p99o oM8jeYhv6Fl6MzDODhMQ90oR4iRco8+5JCc77eMTJY/h84jvFZoLEvQl4Yxz abhDMyGLdglFtBd4QgvCOR5pOMLnE58UuxxDFs3SKVUy0wI1PqmaWAW16FYY dUs59g60SAXiEPELH5M7LbLfKfVvdJNerw0v5vr+c0hT26HfxvvY4Zf8Bxzc e6GLf4IA/UHog/JWKc8b5OCB98tDDsbwirHbPIR5kwyz8z3sT+zFy4MeYucS 5wzqw+S7zNuDPxy6WJs= "]], LineBox[CompressedData[" 1:eJwVkM0rw3Ecx987zPNBsc3zHjMPbUpLubhIyebAwR8gi+1AXB04EMpIicTI wUG2mVJyUp4OSJOT5GEXciAclqPXDq/e39/n+32/P5/fx94/0jtskDQLM6WS wySte6VAg9QNEc7z0GORLqqkc4g2SpsQhAfu5sqlVrcUgjAM2aSu7D31DjQA fgjhzXNJ+WDjjRUG6VlAz1tyUtDMOx8+H2qg55lVMvIdRnNQv1PykNOJvprx U7/yMCs5v1BRJ5mgiNkLoZ3aOxw5pGO4r5EOy+iH3oDo81wvvcAPsz+hj/CN dx9NwjX1PXQXPqhP4ZuGCXIm0Z1ayU6Pcc4W9BRW8CxBEM8AGKktM2eiUopB C7O4mT9tl8zkZKqZG91Cc6mf0KeY7z6yF/FlSqRV7t7QbbJCZIzhHYU0+9vg fRRcvI+ztzXOf+w3xv9dsrcE+sV+PyHO2cOOvFnwJtnnXZN0gLbhdWRzwAkp +kXIWYB/gXdW5A== "]]}, "4736"], Annotation[#, 4736, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkTssQ2EYhl+XdJQWpS5Fe9x6hEEtlWOQqEUYJBYVg8pxidQkYjIhkTKZ XBKDGJqIHCx0MliaGMRtqYRJkdCRicfw5P2/93u/75zzn8DE/HCiQNISOF7p uFY6a5RO4aZM6qyRdqulE2oHUpXStintwGeT9AV5sPyS2SyFoJdzllw/GoVz si/UI/TSnC/AVSE9BaR19idhlF4Mvsn/QI9POsLvCkphKK6TMszZIWkatlqk WXQGHvAfYZlMgmyM3WvoOLqKt8KuFLkF6gxzi6hDvYGfRZPUefxN9Jl6D/+a uQPqNHsO0Uv0Hs/TJrmhhOe5wdcqlaIe8OPP1Utj5VKOb7E5F1VJHdzpL94H 3jtc4RdyH/uGNECvmzkLwhAhH0GDDZIBk9QmGkdd3L+Xf3TXLt2CxTsPkR38 n2WfjU5BHHL0X8Eg/4ZGucs++ANvuU1n "]], LineBox[CompressedData[" 1:eJwVkE8og3EYx7+iUCRtw2zvbOTvJuO0cnB24EDYZGQHK4fJWQ6TkzdbUspJ OWw7KKEcWElx25GatqKlOMhJyUrzcfj0fZ7v8/y+7/v7eSJrU7EqSRtwZ5Nu nVKjT2qAOa8UhJVeaR4NwbJdKjArQgQ/3S7lqQ23VO6SwsyjZCyiNjwr1LNX B7XgI8MLvy2SyX4ZPeuQftqkUfogdQi+6GfQfI80a5UmqcfRT7D0SU1QMyBV wxje9aD07ZDOOzmLnqKHZGdd0gWzEt9+gSLE8e/7pRP8LP0VXMIq/j7+MX6B jBj1E/o8JG2SN818CV0n84CdZr57A0nOmhBmfwEqFvLwHewa8GFIfu7zjr7B g4e3oN+jFpk5+gpvn+IuGXBz5zj5W3BETpR/eGyVRth3MnNBgHr3fx9/G01C AibY3UFNKHVLr5Djf9K8eQaGmfvhD3OdUb0= "]]}, "4704"], Annotation[#, 4704, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkM8rw3Ecxp8dXBWbH8uGYWZjxsnJnyC1jAN2+NKWxFzkpJbFRrJpya8r fZV20Vi5iYPIdXKgyV8gpTTJ63t49Xw+z/v9fj4/PEYivGiTtAqnTdKHV8oE pDQ8Nkjr6AakoNQvXULeQc0uDbgld7c0iMY9UsyiRZpHn8kawi+jWdRk/o+8 J2pqlnJ4D6zv4Zy8T/IqeO8Qon5CjquD86jtBumHqF8abpS2fNIO5GAPf6lV mmTG5O5RZhboC9MXoTaGVkIo6wT+W5/0Civ0Z5mbo37UxZ3RPPtN62w0yf6G vDX0jP0hfgk9YG9yxjFaRAv439z1mvwa3ljEr+2R6sEBt/h3MNLGn/BXo+gX Mz6XVOVtE1DAm0VtvOeCtdcpbXdKv2QFe6UrPD9eXbsUQPepOfnXqtUDMbJ+ UDv/u0yOQV8KLXPuDJnjZETAYHYKnYY4/gv1f/BaU+o= "]], LineBox[CompressedData[" 1:eJwNkE8og3Ecxh/ZWnFwmBnhZfNnm6VWkrJa5CByWg52cFnKO2sIyUGr3Vbj hObiICEO4kg7LCkHF2ntMCWZlANx9S+fw9Pn/T3P9/u87/tzRefCsxWSVtBa gzTll+JoBqWaJBPGUNCDj9K1ZK2SvV3yQhv0wWpYhQyntNcm9dPlwXewM0ZP kI5RuEvWR3bVQgeZSd81z+P4C3ARWcgT8LWTd0KD3VI9813SZZ3k9Ep5WMP5 HL9gSBcw75Z+G6Uc3Ce/wz+m4wPvHQ12SOv4Z/in3VKR9xfQLVrGP/FJh/hl Zh9Rhp5J/HkYoz/JngnjzI3gb7A3DKc5D+Hf8D2VzPQyb4UhvL9m6Qe9uKQD WIL3KEO/nfyBZysdOXZ3yAN8b4LsiXtcJXt2cCdwCQ2Q+8lD0Mb5k/vcZG8L vfFv2zCLjtj94u6/UQR/AvXQ+Q/H10xp "]]}, "4672"], Annotation[#, 4672, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkU0ow2Ecx79uRBHPvMzr7G9rhiM7zWUHrqIop51sZoskklK7CEc5kVrJ wTQhcpBcpLwsBy6UcCAUuUhoPjt8+zzP5/f7Pc/T/+8IxrqiOZImyXqZ9F0n fZHXBumFvFVJSfwnXGyUPmCuQ9rGtVdLOzCf/aNNGocTJFIpjcGEkZ5LpCX6 +lxSL0mwNuXSGrylZxU+QTvuj7WnVGqrl7zQDwP4Lc6bZra7RurAh/FnuAuy jI/jY7h+avMwzswDtZlsH29wkqRH2iBpt3RFrnEtJMWsu1nahFN26Z25hSbp jpqPpPG73HEJ9zj3gDN/6TmEGbhPzdRKR9z9gyvm+xhyih/G3zCTwd9T73Ty neAoPq9C6mF/zNrwnhPow53DVrhCrYBvGuINFv/DT48LFllSIQlzhw2G6PXi B6DJ7llH6B2Ec7gROAuD1CzOi1IbIv+ZEFGH "]], LineBox[CompressedData[" 1:eJwVkTtIglEYhl+DdrvY1TTTrMDKLjRVEHSDmhoyLaELQVTUFDQEDgVSg5RD Q0uQXSTMBlNoaq7doSItBwlcammLehxennPe9/vO//3n2BY3pzYMkg5QsFZa cEilaBbtsg+YpT241Cil28mhu0XqRCtk82QGauuqpS+79I0qqHGRG+Ex+6RV 2od2aofpccA4nqiJwRen9IxayZyom9p0lVRokp5qpAlqHmEJTOJn8RPw10I/ /gNM4J3gReEl3j3eLWem4GnRg1eovV66gFv8SwSGyY7gHbOEYZzZDuG2SwrB Qid3QE2ZWypHRmRCsTppuVm6gQFqZjjPh/KsvXCHnjW4jjxourhuk/z4ZmaI 0utjziG+McjcHvx+OMC+Cz/fwD1AO36Eegu0kufwx/ivcXRdyb3YeCfyP+4/ SDaCP4pCrFfJeqEX9kE/nEMZk/TD25zT04OfYZYsCnNeqkOa5Lwzshxv8Yr/ hj5Zf8B39A8NnVhG "]]}, "4640"], Annotation[#, 4640, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkTssQ2EYhl9EUhWLQ4+qW1GlOdVILIYG0VVIJWZx6dLQmkwkNZAQiQlh IrEwNCKO7ta6JB2YCNtJGSSVGBBPhyfPl/f7v+8/F/9sKr5UIWkVCobktEjv AamIfzukH7hrlGr8khviPqlE/wvGWqX+HimGX0wpSe8Zr3BunGwDb8Ix9Q52 eTiHa7GDfU3SLjMz7Khsk0LkQ51SliyKL3CGnquBe+kfUk/hBHO39G7IvZAh Wy9D/lqewVvMb5MVQ9Jln2RDISjl8DV8ktsRaugNS2GwYK2ZeyzpCPbgAPbh lH2P7MvxDFfwQG1zzx/3OTxDDOrbJQOeyA2+3zczJfIJyDOTpqcu6Y33nMQR zgzAB708PbdXmiav4hue4Gqcxff0zvEZWPyPYd4jCgHqBDNJdtR1Syb/aZR8 BFL0TDIPDLJnHi/AMvkcTuNF/A9LS0/A "]], LineBox[CompressedData[" 1:eJwVkU0ow3EYx7+2o5t52Wxmm5fFxg6Si1DKgRslraHUvB04EGZS5EKJg4OT ElOE0lIuHDm4WOSAtCl5ncjbRfJx+PR5/s/z/J6e3//n7Ohv7EuRNAdT6ZIj Q/LnS+M2qRUHwJclGbAR2hxSu4Vm4iziZJ5kxn5yabjYLXkglTjIPCNxHbPm 6avFM/g7U6r4t1nayJW+cBM+J+8lf4YfXVI9uQd8DyK+xCn4iP5fu/QDO+T2 8QFEyO/hzUJpG6LEZexwAU9WZsNIiRSCQRiGISiiHoNddo3CpEeagC3uFPZK YzAMIXj2SS+QBBtnDmGZGYucS1CPw3a2tFogjbJbGDaI12GA/bro7YZO6IUe cLPXGvUIBOivZu8aaKa/Ci9wl0rspOaC2xx+P3bwn0zYjq/JGeifxUZ84uQe zD3GP7xpEE9TszLrxiQtsXcLuRhvW07+FPuwhXopfuf9Vsjd8WafxB/QwLxX /AYJ8lfsG8cvfP8Brldd0Q== "]]}, "4608"], Annotation[#, 4608, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkU0ow3EYx79zVhQ25m3zOrKRmpRyc1AcDAdJ1vwdzUUOXIaSIi9xoBym XBxEcnGxLeXgIk5eYtmGQq3UVpLms8O3z/M839/z/J7f/2/3TXr8JknLKGiR 4mXSHkzapKsi6RW+ZUU9BhPwGzrLpZcCqbhOqiO+pWfYLhmlkheOQyveEp5B 7kO/zIvAP3gDV/BMxdI18RPxFOej0EktAePIViV1VEh5hdImvpt4EP+C+efU 8lGkSVq3cqdT2oC9tdJjo+Qh70fPxCEX8+kz8ALN0hyK0rcA51GMeAZN0D8N /XCnhjMOaRvuoqMS6Yz+Yxgkb2eHC3IXnOWecAO7oBC1MPqgfs9+reiEvQ/Z /xTus8c3Xpx6J0pRS6NL6rl83wfefIcy1N5hd6XUg5L4HuiolvqgG6aoHRC3 EafNvA3+wFW4hrqYl1PPXP7ZFrkl+2/hEG8Yw/si/kRm/AwcgaOc98JB3jiA WujxwkV6AvQY+P/0sWJk "]], LineBox[CompressedData[" 1:eJwNkMsrhFEYh38fU1OSBeaCMWbcbzPkH5DLxsJXY8MGsZlI30zNzlBIacZo lCYpCwtZya3ksrQVC0XNyqRkmqRcSll5Fk/POb/3vO/5vuOfjoxYhqQFSFdJ MZ+0ia1GacUjzeBZsMijLdIcnq+UnA6plLwMesjC9JSz9rmk0wYpQNZLdl8n HbE/BJN5B9jGmVF8S+29WfoAg3nDZN2csdMXoWaByV3f8Fsv/YGXLOuWXNgB N2TPXikHl+RZfMG8J7xPbadTWqqWMngZDzZxd1AawD+t0hcEA1JRjdSBt5hx 3SbFndID/3vO+gwK7VKSmQlmpvAq5xJ4DWJk43gCwuRjeJdvcPPdIdZ2fAUn 3NFH3SBbpC48hSchTS3vlzbwCy7h/nWcgr1a6ZU3M3GSfZ63iuMc2RBZF/1v FVI/60e8zV0G9RCzbLgY7ugRPqanwBt/8v//EflNGA== "]]}, "4576"], Annotation[#, 4576, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkT1IQlEYht8KJJciqnsNr9k1s4wKBMeWnBwSI4haQnBpyezP/oYagrDB htYKEgRpqCxaImhyqa2tNSLaCgoih36eO7w8532/73znnHvtdHZ8rk7SOjoz pb8u6c2SPnqkd3hBNuaVKrDelmpkJvSguE+y4Eu7tAFfYR7uonn2RENSiZ49 vNuQnqHpwVM7b5O+WzmPuov1Fr3uTilGvRk2oZGANAEPqE3CDH4WJZi1AlNO Rn8epsgKZGmH+B3yq7C0hn/o5X7wGr9PHh6U+lED9/jsk465d4z3FuHUkPRF djQgHaIi/Y/MK7P/lvkn8Al/Q274pSpZlewH/iIfWQ1a0NUt5eAqauyQNmGS bBSJs6Z59x3ZPRqmXiZP8H1PYRIa3DvC/7jEV5Cff9ASlGwYhFFqAcejZdYL 9GdRhnWBedvMmKEW4qwl8kX0D0QgSZI= "]], LineBox[CompressedData[" 1:eJwVkU0ow3Echz9uyg2bt2029kbDwcqdSLmgSIpla44cOMsOduC0aZQ1ctGy C8XV4d8uLg7SMu2Fg4MyJYom8uzw9Py+n+/v9f93BFenV+okRWGrTQo4pbBd msLLeLOW4QWPtAhzjNebpX7GYYv02S0F8Rs2t0hxvAv1zHOz9qxTilF/m6UI tpNlyNLgp57ELuwBZ22fVmmEbBjGOacC+S6pgV4JF+GcvTL4y8b+bumjQ3qH E7IEvUvyNPkr2QtcuaQNcqNHGqDOUhswxPiQdx6Bl3EKJ2EfDkzSo1faa5es fZINxmAUqmQWfOuTyr3MAzN7F3EBJuidst5E1ghx5hvMTXCnLOfMc08Dz+BZ 8HPfOL1B/NckXfDmY/o+vkXOKq3R+yUvML5xSNt4B3743gZ1lbNCOEp2R+bD S9QBCNXOw0XmVPgnXnr3vP2a/WKc80SWZM0z3zeFyzhHv4QfcB7+ASf8Xh0= "]]}, "4544"], Annotation[#, 4544, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwNkT1IglEYhU9TIDRYlp/lb5aiZmNDU5FLNSiVkRAO4VxgtBSiS1O0CUkE hTZkBTVXFG7VGFmLbeUQCYEEYRE9w+G57znvvff97udZWplZbpO0he67pBe7 dAurg9IT6z2r9OqWJvukdzgFn8n8Dmmf7AOv1i1FPVIMhfCnYQAm4Sac8Enj KMO6xZ4cZ5Qt0if3POKlyaqws18yowNyAxbhGtmIUxrtkebwKngJmDDw8Bfg 5ZB0hcwByYLKzJMfkE5galiy4tmQgU7x7ujd6ZUiYakA5/meOHJR/1Db6fuF buo0POQdSuiCnhx7syiDQsyySk8jyLlkTup16mv236Bd5swyd5E5C8zZwMtT //m5Hzapj/Cb5GV4TP85fg2auK8DVfj+iEuq4z2QBb3ci7xkPtjiHeOoSE8J uWzSGJkDZsjP8LZhO//Jz70mWKd+Qwb/4gsu0ptiT5g8Qf6NFyab5Q2zZBtk MdZRlCJPwn+4LliO "]], LineBox[CompressedData[" 1:eJwNkU8og2Ecx7/LtnZRyt9595qZDYlNymXiIJHkMOVkBw4Sr+00RWaR0iJX NwoxccBJ5rZy1puTg1wmKRfaRZLP4dvneT7P7/n9ep83MJuKJx2SMiRXI4Vq pblWaZ6sNkt7Xsli3VcvhWEaZ+F64RIM4iyf5IMmieKH2qRuuEC/SvqdBKUY tc9+aQDa8JEk8GtwAmbgJIyTUp3kgcu41wbJDx9wvy1SERbhPd7AF8KSk/kO MhiS8py/NEkX+J1OaZeU26Vb5uZYb5Nso9TTJbkMqYK9E0bZR8ghfV24M+6/ 40tkn3kr9D2gb56ac77vlByRGfxWB2d4m9ok99PUj+MX4Ric4t4ovgoO4yK4 GOwnHtw6s9zwKyBdmdI18VJ/Cac5S5Bj1h/VkDfNUpdi1ibcIG+8sQkL/KMR 6u7gD+9h4GzO3PAGV8Z980ZP9Plk/cc/+geks0w2 "]]}, "4512"], Annotation[#, 4512, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkU0oRGEUht9hdGWBYszc628G1yRjJgumppQmbMaGUhZClmSk1PgXSrKS lIUoC0V2FpIdNUumSflJVmhibViw8Fi8Paf3Ped83/2ub2SiN+6QtIzuSqRv W/qskAp9Usol5cE0NKGF+sqlH3p+UaxSaq6XuuGLW4qTLdKzgPrxduARHKTn BHo80htecZmUhad4XjyjSgrgRWqkIIzCDnTGvjVmB8hj+JN4KbwpmIZ7TdJq gzRMduDnLHRTKtlol5nbRnrgJmdk6N9m7p4shBxk+/hOeBWULlEO9YqFH5Dy 6Q+z34Ab+O/kH2idOss5XyjCnif2b9H/DBPMtvMu4v1y0QV3t6qlJOcmuaOz VnLhu9E12RxZAZ6BXsl7YAYu4ReZfCMc+s9522PYhveId0j9AM9hq5c93CPK fULUo/SMs9+sQ/y3LvxONEPmx7NRC/vGYBjOwnmyaZhAfyStTZQ= "]], LineBox[CompressedData[" 1:eJwVkU0ow3Ecxh83Lqzmde8bG5Ymx3lPDstprRa1E+JocmSIs3LwUgpLKS2h 3NVKlh28XVBDQ4ooNeUlKZ8dnj7P/3m+/9////v9nAPR0EiBpDk0Wyr110qT FqmvRhqHIdhQIX1WS18o7JAiVdIHvhh/D0tgmKwIenh/jHWEH4SFZVKMmQ7W sjEzjf8ol5rgpl269EhuOheqJ7uge3RJT6iT/rhS+rVJ++QnZHswAXNkW3S5 emmZ7I/vvuPTjdIb/PZK5/g4cxm6DbjM/K5bspulNmRF2zw7YDOcapCiJqkd Pwpb4UOddEa+wrOVdYd80jAK0O2wNzOZCaWYOUJLzAXpDvEL+FX8IgzBBPtP 5mc4UyPvGNA83QFZL//m5x8j7K2F/QShP39OZD66jJXvkFWgOP9rgBb6K/Ju znCGLOXkfGES/nBnMbouugmYNUpr3EeArgd5yU6ZccNSZmrgM3e2TnbDXbzi X1CA9R5hmr1m4TXdHbxF/xfIWxw= "]]}, "4480"], Annotation[#, 4480, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkTksw2EYh39dmCSSaquqqKo7iIUgJKZ2cTYpYsDsiF0qacVmMBjQhNFi YGPQSIhGXXGrxBWJQeJoJI5QHsOT5/u/x/d+3/d39A21DRokTcK0RTrLlGbw dY4UMfGNz+GS+DG+wA/YaafGKBnzJTvrXXp6bZLHIYXSJAtxM4yS8xH7YK8w 9lOziRPUj5H7wYfYZpaSctkLW3GMmBmboCJLmmCvStySLlXjKuggt1IqrUI3 hGENFqxSq0tqh1TmNeMm8EJ/uTQAG9RFYAvGMzg/3oNt2IEohDhzLT2z+LZQ ChILwDD1J/gUlgqkZTjgzoWwn8ca6ph7hGvwIntMce55zhyjdp/5z7AH78XS YxFnYf2Ev8m/4hdILmFNzxus0/+Fo9z5E9/iO2jIlu7xAe9mcTITu4m9Uj+H 47iCeJy4H9fz/4K4ESd4099/qHMx18B/9fJ2PeRuqLmCFGJx7MVd1Piwh3u5 oYx/14kD9IzQ00P+Dwr5aSE= "]], LineBox[CompressedData[" 1:eJwNkE0ow3EYx78cVkRbbWYv3saQWGobcdqBUW6WEisH4mDFAcvbASlcSF5a Wtl2IVeRydGFmpYLiXJYK06KdvY5fPo8/+fl9/x/P9f4bGimSNIOHNillTrp EC+5pc0qaQ7PwyL5hWYpilctkq0CyDshQC7CTBfupacDpxuIyb3XSnfEJZXS OTbgMWyi9kLtp0nys8cLYfJ5K714mdoTtUF2FaCYnJWeD5tkp2aDIPlv2G6j Ti3qYF+NtM/3G+6m9gk37dItpMHg5P88Uid4wQ8+SHGfYKOUrCeGfuI+SLAv yXkpOIUpzpgEN7UH7v4Ix/Rn8C69ec7fw3H2P7dKJ9jNP2TgjLdJwEaLtA4O cveQZWaamTC9Ce48ikvJbxFfUevh/EscwB7ep5z6BLUjci7m/lySkXwOl+E4 vqjmbXjrGPEw8RoewTlyIexj/sssDRC/4hj7TPQMcaYFmyHLmxjxNTO/vG+B O/8D3LRTVQ== "]]}, "4448"], Annotation[#, 4448, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkU0ow2Ecx7+LA3k5yOu8bLMZ5mXFwQkHdnBinLYTy83rQW2TXFh522pt SqlRODgjolwdOEpELQdKJklMHPg4fPo8v5fneX7/52/xTfSPGyStwEGJlGeR 0hXSVw3gI3ID5dIhLqCWWSk5cC9usUtuHCKeh1SRtI695J7o38XPOEEuv1h6 wVHOesdx7GP/MORUsR/nYleptE/tuFDKBg+5DWqJ/17Wo9TH8AjcOLi7XlqA nVopgsOQIv/ZLCXLpMsG6R5f4yh7L2zSI/FqtfSAz4k7jdJmozSHv+qkb/iB LXq8nOOBX+IQ9W360qzjZmbl29Z4p24cIzYw94NTsjdJPTBNv494BsfYN8Q6 wDrMOgKLsAxLcMZdFpNkgyRzNuI7bLBKH7xDHwTIBSGXuVv5Nx5qGbz5G2/z ClfUBsllMc8edtNzgl3031Lrwm3MeUrOSo+JbzdDBzkjbsdOPIv9vOcU+FlH 2RfirElqddwXJB+AP0x3XAs= "]], LineBox[CompressedData[" 1:eJwNkUkoxGEYxp/hIA7KmLGNbawjy3Bx0ahJOKGokcYynIXiKKWhJjkoS0lZ DkY4iNxkOcjUnIYZWS7ElOXEQQjld3j6vd/7fN/7f77/Z+0bbB0wSFpA4+lS e4HkzpXqYSccpeeC7cVSB2qlHjZJRrN0ly/1ZEpR+IhMqZIPxrDnr0hy4uVx fpLeR4o0BN+hHS7nSG9pUgV1A7UZNsJnek5Yi+7zpK9sKQiP6Mcx7wS+0ntG DnI8IINN+iFbtEQK2MkCg7AKb69c2kU3+Ptk8ZZKc8y44H4JldILvRoL8+Ad 3jl9P9mvyqS1DHxmr8IIa0ch+1g/oSgaoT9Bf51cfuhjLb4dg2JRPHO38DbR ImdX8D2wmn4dmYzQCZPgAXmX8LbJsUCGDehhZi9yo27UhRK50yE65kwL9yjm P0yRdxrZqU38q+ss7ots+GHYj3cOT63SL2/kpQ5Qf/OGO/ATumAIbwzPzP4+ 5rfR88Am2Iwy8Yx4FniWLM2QI8xbz3LuljvOw0sY4h4RGIFh9A/9+GV3 "]]}, "4416"], Annotation[#, 4416, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwN0U9oz3Ecx/HX8ueC08Zs2PYb+9dMLuLgtGgXrfazSQ6WHZSUJUkyZcKS g4SDw+/AZQsHtXZQ4rA0UvZHTlii3xY5jsNMeRxePT/v1/v9eb/f38+3MDBY PFOR5D5NVSYftiavcbopeed8rzrp2pLMNSS3q5A/S3Xbkk8bk0OFpF++iL3U yJ925yL2if+oeYZLvKu8J85XcBJn8HRzcoreOLdsTkp6jZuzYoemuuSWXDN2 y72UeyG3gfp32kfuZG3yvtVONEd3dyRD7cnjmuSj+Cl2dpjJG1E75t5N3Mdb 3ZasoQnfNiP/WW2F+AvOioftPKz+nPrvepVpgabMKO5Keuin+J98Qb/z+Fv9 JM67vyz/l746r99tb+pVvw778EFj8kivcfNKzhNYVn9d/YI9Ljvf2aRPi5+j fhU9N2e/71/0Jj/olXdZ6z+9df8Xv4v21Cd7aVGuXq6MVduTg7wOLOGyt3uI 1Wae5S2Zcw1HeQXeCo6Ib1Cld/iGx/U6Qa32aaMe73YUD+Mldy7IHfA9nXSM dwT/A+Y2Zh8= "]], LineBox[CompressedData[" 1:eJwVkU8ow2Ecxh/kgikZhpn9828jrsoBByIiuzhJtoOQFaUkialJaFFCOYhw 4+AyWZzk5IImB7kxargoYnwcnj7f532+v/f9vu/P1ufvGk6StIDmjVJZjuR3 SiMoaJWW86UpOFYmTcKa/4y1empnnmTB22HEIZ2iOtYL6fWYpWN8JzyCDXxz UyyZyK5gD2clc1Y3WTrZAmuZcBZOIwPrLpgC3fDeJDmgFZ3b6a+ULuB4gfRW zgxV5CiB3+fMXdRWIk3gfdVSK1kEGgulE+hF73y3yrxNzB+Gi3yzhAL4mFt6 ZZ4EPXH4hL/mrj/4b/SJZtl7mzn2qC/JHulrxHfhPWiN+TpgOwpRP5BH2WeO u4QqpP5caYf38MEg/s4l3aIBizSEBunzwq1SqRe2sIcZWlAzWQ6cIQugNOrP bOmQd322SSvc00JPnNrA/pvwoEiqpXeUbAO/jl74BwEYg53kZ9zdjU+hzoKp MMzaL+/yxXtGOeODOoPsD3ctWes= "]]}, "4384"], Annotation[#, 4384, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkU0ow2Ecx7+Si1hh87IXs5m3ZpPbcMAOzIZCSTvOwUHNW5xlNkVtXnNi K8rByxEpykk5m3JxcsJylFbycfj0/T3f7+/5Pf/n+TsiM6PRAklb8FIh5a3S T4P0i1Y6JBNkTZIHva+SwhapsFEat0nv+Dv4uzCPv4UeG6UP5pyTX4CtWtom s6Kf5Hd4ebSsVoozx4j2kdlQCwSd0hDrCPUQ9XAls9ERNIo3T5ZokSZZHzVJ U2iK9Rp+1i09Q+p/X7OURLv5RnurdNomnUGxRyqFEhgzSyGyQQhAEAbgmrv3 0usHH+su6IRcDXdgfg4mmP/NDD/zM3XSDVzCFaTYv8Jb7VPvQZqefnoDYOIt MrxvGpKcf0LvB7MO6GkgP0THvZKL+gt/k3NTcMv9nHbpgfsW1UuPaDnqxXsj M1AvU8eglO/cQMN46+gk+oqaea8qeKLuoWeUsw2cN80/6+A7A2RdaKtLckOU fBZC+Kv4C+xpx/dxt0V0CRL4c2gcjaF/vPdWlg== "]], LineBox[CompressedData[" 1:eJwVkU0ow3EYx78U5eA0xrxs5v1tc1lzkG1SXJRIzZkDOXCTmNecpZWXsqLk NRdcXMTFREzZOFAuXg6U0jBL4ePw6fP7Pf/n9/s9z/O3dvS19iZI8sN4mmRJ l+oLpf4cqRE3QHmG9FwgtZuk7SLJi5PzpHTiIeIX8GOR8kukbzzBfgWvgpHc JRwrluIww7qNd+JgIM/MO0+ZkpO4Aw7JOYAU4uF8KQmf4S2j9GKW9mxSYqn0 y1txmCbus0uPZdJkhXTP+gECnFmm9gVcR095lZIHf3I+xjoOkSrpC3uzJBt9 2cGQLVXiCvCR7ybHAw7yqsEJd/QUxe/QRC0f3Okid5GZ1OIdvAtB3j+CMea0 Qe4mrEE393XBCusRah6FCPcM4yHwc2aWe8LEzqGTvA6YYi6H1LcPzfTlpPdU XMZcevnWBzvMNcD3YmZ6nCv1EAviV4O0zrdNq/RGPePEongQD0ALcQuuwVbs xi64oQ4T+zlyL/kX8/iW3hp44wpfwynxEPM6+Tf7P67MZB4= "]]}, "4352"], Annotation[#, 4352, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkUkoxFEcx7+WRGSSdWwzg8EwI3HQuJhclKUsM0rmYklOJkckZU3JcrDE xUUpYzkQiebk4D5KSimyjUQ5ONg+Dp8+731/773f/72/pdPX3BcmaQ1+rNJ3 pmSxSGYIJkuFuDVDsuM2HJ4vRYI7S6rAHnyfKvVTm2fNHPSQbeB9fAimNCmA Q2Sn+AtbyRKzpYgcqTRFcuFybCKrp9bxb7I6aCQfwEF6XMK6Q5qx0YfcXyBt wx5cFUvX8Fki3Rmlhf+9hVITmNOlWPZ94APmh3AENu5cyXonnDD3UG+wS8fc 3YldzDfJd2AXLvKkZ3q8cf4W83ccYt7FGwwWSeM4im+Lhhg4Mktezm6HOOYT 1IdYF+D8ZXr/cv4q3uLd/RDP/ar4TgN2YeEX+rSw3w0TfNMi/TyMl/ArtRW8 DKf8D5tJOudd4nIlI+cZcAI4yG9511H8SN1LFsK9eJYsiXt0M75mbOQtb3A1 2RN+gDNq1dxlOEmqoV7J2EfdRw8bb5LBferJa2GMWhmZk7uO4CnWjONJmKa2 yr4/luJgLQ== "]], LineBox[CompressedData[" 1:eJwVkckrxGEcxh9FJA4YjDHD/KxjP00m4S+wFDUc7FfL5CjyL0gYSo0iJOUg JweNdWQfYbKelCUXQ5JSPg5Pn/f7PO/6fY0uT0NfhKQp1JIvDVil2hypBhWl Sp0lUgE0FUov2VJWurSaK7nTpGfqSLt0CKNgLd5vpmSwj8ckfTDuhNHJUiX7 JpN78b7zpHF4CS+QQWZlDxtMgccpkot8gywG7zxLCqIV/BBcho8Z0pxZei2Q xqiHS6UROAg/uasfTpI/FUlvnOtjndshNSHDIv0US7twl3oHflEX8q4d6m3k R834dfg+7uCE1dQz+PNoAe3To3f8TfxZ6i0Ypu6iX6ece8u59/g38IR6jR7d Ud+ia9TNfA/zQ4yvUA/j9jKpA7WiNlT//w76V87dJuAZ845QIv+SgBp4Yym9 cPH2Rt7ohLEwDjnwe+mhjz+bRlF4ZvJ1QzqwSVVk1WiRP1rCG2JOmLv3k3nQ QxLryFxkFciOFyC3wHjWmeENb/LiBenRHeMAd9yCe/AUBtEx2Shz/gDYF2Zy "]]}, "4320"], Annotation[#, 4320, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwVkVkrBGAUhl8pF5ZcDDOMbYaxjDVLMfELJFkvmGQaTZaYoZCy/QW5sOXC dqVwoyRFiLLEFAnFhSWhJKTcyOPi7fnOe853+s75rG5flTdA0jQaMUnHsdIo 9FukvUhpG+4iP/4mPIFX0BQnhaZIwSiM8z53GmIkh1WaipBuDJIXvxMt4y2h fvKrcBCWcO+A3DrxGjIZpfBEyQxP8e1RUmK8FIJXgFcFC2EWXiU5Q5b0Y5aO 0qhHRcmSEc+D15YptUAPbIYd/zFq5RxFTTS65M41mmBGB3cnYUW2dIvXTl0P 9WPM6k6XepltFn8eLaA1/Hxq89AMcQ95F3XdsAsOwC38bbSD6ulXS78atE9c R1yeI1UTV6DHDOk1WrqDL/CXvg+cP+n1je7s0jDeKPM/c55j/nv2sEh8wV6W 4Dl8x9shl5vAP+LZktgNNMMYZOHdZ+x9nLyV+I2cF/pQMbkgduDi7z7IW1Kl L1jGe5zkSuEhdYH8/RNcYWdW/nEDJsFGdupCTWiL2dzQhm/k/Q/MGAnLbdIQ ffro56T/H5NHZSo= "]], LineBox[CompressedData[" 1:eJwV0l1ozmEYx/HfnChryIyZedlsnmdeS7ZSrNSKkSkkZ2q1FmlyZIUlZd6a shMtBzvwFiNKPWN7VsqSU+1AcaAoLaU4kqJ8dvDtd1+/67qv+77u/7+h+/Sh vookoxhZkVxdm9yhl5uSwfpkgF7EJf65gjUdWJrU1SRFfp/aLt4Z2kE71eym 0+uSb2uSWYxbl1C5PDlJP/Oq1Q/RXnEP2pzVTb8vS67x369P6nmLebW0kr6T K8qV5UY2JpN6/CgmE3RwU3IFuzYnO9GOkngcC1uSRXjozp3NyQNaJa5amewX 70O79S09h1Epd5MO4b4Z76pfwJuP63XJcz1vu9OpDUm/mR67wxM8xSt+65Zk Ox6Jz87NrG6H/lP2XzDDJP88LYsncVTPibm9KOGI+MDWZI9zOvDJPb6a8bee X+gfOma+gu/wVt003uCZtx9Dj9439B1V88G5M+hvTA7yu+iJ1b6zNyzzX2Iv b5tcBZ2HJfJNtcnrVX4KcY3cz4bkF0q8F7hn3UOHaS+dNedx2qpvGw5bf6z2 ndyxWc0x57TQAma8ZyOdsuev9/rn/f8DmXJk1Q== "]]}, "4288"], Annotation[#, 4288, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[CompressedData[" 1:eJwV0jtszWEcxvGnYqrWJalbD6papxy0DEJ1bJSBhcFA6pKoc1yKSSIIW+sS pg4WE3GtuDRI6SARIzGgiYVEBIMYqEX4nOGb7/88z3t+//d9z2nec3hLf02S K3g6O2lqTmrmo5hM4jHZtkLSKm/BaGvSwdt1a63p5S/WDMl+zkyuc1n2QzbC M2Z5ljXwX/6Hy+bt893GBcnkRckq3QZ+JB/FoK6uIenTl3F0TvJWfsyaF/IC BpcmZ3GzLRnG8w4dXumKuLFCh/FlyQeM6ybwGzvsc1p7Mh3dy5MerMdp+bMl zox3Zr6vYtbK6l5K9oy9qKCMMesPcT8O4Jp5V9Erv23eHdzCXQzjydzkor1c woTZf/DR7C7c1z/APYzgIc41Jo/5Au+37/Nc4Z3esQvrnG+Ke+nkOu7iWq63 /+9m9mBxU/LafbbxJ/dYmOe98q14Ix+Qf3X/u1uS1bo+7uRfus+6gz5XUFv9 Pbmev8k3Okv3wuSlrChr9784ItssK3nexGt4avUc3nXcWc/IhqwZMP+EruSe TslP4j9PQGVZ "]], LineBox[CompressedData[" 1:eJwVks0rw3Ecx98uIloeNs9jY6PNPJyVHBwd5PHgMSxCYxsh5eDqoPwDLhy3 LENKLrQQGxcXN5aRkpKJUF47vHp9Pw/fb7/v5/uzjs52zqRJ2oSVYqnNJu2U SFN2KYQfXVIc7KVSC7Ulerx1kpN4FvvBBw7iEHt6aiQPcS/uAp9RyjVJF1VS Xxnnsz/KOqdQWsDJCumnWmqm1gQecq8FUjm2wAb1lyLq2Ewco1aFL3EjuZtK 6Rpey6U3iNCbwLfkHnB6rfTkkJ7hHpJO6R3i5H/rpT+4Z52AuwbpG75gkG/O pZYH7dy/Ezpglbyf/XPghSD1AAQt0gDxIPTDMAzBIf1j2A0jsE3vFvST93Ge H7wwD3MwxcxLmF8pFMI+37IHM9TGYQLcMA2TqTX9RvpMkANhenehg/s7uf8G s3XhbuZiw1bIoJYJMbNUzBwNrAvwoVU6JffJ2yziA+IwLPO2AfyRujt5A2cO kWslN4CbcYQ92dSyqGXhk3xpnbc/Yi7HcM3brtFzjs/5T85wFF/BPwnzZug= "]]}, "4256"], Annotation[#, 4256, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[{5060, 7366, 9671, 9669, 11170, 6025, 9352, 9353, 8380, 10112, 11125, 10113, 5057, 9674, 7439, 8393, 5592, 8508, 7003, 8514, 6090, 7446, 6089, 7532, 5619, 8637, 5621, 8629, 7542, 6133, 8626, 7618, 7621, 6187, 7629, 9841, 7627, 8711, 7712, 7715, 6227, 7723, 9872}], LineBox[{5260, 5417, 9339, 6549, 9455, 6552, 11280, 11281, 10108, 6663, 11279, 9270, 9272, 8272, 9276, 5928, 9261, 5925, 9158, 6473, 8267, 10015, 7256, 7253, 9154, 5900, 9067, 8164, 9972, 9974, 5381, 7224, 6418, 8071, 9971, 8069, 5202, 5367, 7194, 6369, 7974, 9935}], LineBox[{6255, 7125, 6256, 7783, 7781, 5131, 5307, 8774, 7098, 6219, 7705, 7703, 9832, 9830, 7065, 8702, 7062, 8697, 5651, 7612, 9787, 7033, 6128, 8615, 5616, 8597, 5613, 8502, 7517, 8496, 8494, 9404, 6604, 8486, 9407, 9405, 6079, 10910, 9727, 9728, 7424, 8478}], LineBox[{6339, 7909, 6340, 7918, 7916, 8910, 7983, 8994, 7987, 6381, 7996, 7994, 8985, 6377, 8080, 8991, 5868, 9082, 5872, 8092, 6425, 8174, 6426, 9077, 5903, 9164, 7257, 9172, 7261, 10020, 5232, 10068, 12040, 12041, 12042, 11263, 11264, 9439, 11630, 9437, 6519, 11611, 11612, 9278, 9277, 9651, 6833, 9575, 10272, 9574, 9290}]}, "4224"], Annotation[#, 4224, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[{5083, 9733, 9734, 10914, 11961, 10913, 11963, 11962, 10917, 10911, 11960, 9406, 6844, 11501, 10289, 8499, 6605, 9408, 6083, 7516, 8501, 8500, 5615, 8610, 7028, 8614, 7032, 9786, 7611, 5650, 8698, 6179, 7064, 8696, 5297, 5115, 7702, 7704, 6218, 7097, 6217}], LineBox[{5248, 5406, 10273, 10271, 6834, 9577, 9576, 11989, 11988, 11091, 11614, 11613, 11089, 9438, 6934, 11598, 10352, 9176, 6654, 12039, 11265, 10019, 7260, 9171, 9170, 5906, 9180, 5902, 9076, 8173, 6424, 8091, 5871, 9083, 6428, 8083, 9081, 8079, 8984, 7993, 7995, 6380, 7986, 6379}], LineBox[{9459, 9452, 9453, 9341, 6667, 9456, 6551, 11282, 9346, 10364, 11283, 6664, 9448, 6518, 8271, 9275, 9273, 7282, 9268, 5927, 9160, 8266, 10014, 7255, 7252, 9155, 6471, 8163, 10013, 8161, 5215, 5380, 7223, 6417, 8070, 9970}], LineBox[{9840, 7628, 6186, 7620, 7617, 8625, 7539, 9792, 7541, 6136, 8638, 5618, 7531, 6088, 7445, 8516, 5593, 8518, 5591, 8390, 8392, 7438, 9673, 10880, 11126, 11997, 11998, 11124, 6559, 8384, 9354, 6024, 11171, 6591, 9670, 11168, 11167, 11286}]}, "4192"], Annotation[#, 4192, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[{5103, 9791, 7540, 6135, 7533, 8636, 7530, 8513, 7441, 9745, 7444, 8519, 8517, 5590, 8391, 7432, 6028, 8396, 10882, 10881, 11172, 6593, 11173, 11174, 10278, 9351, 8383, 10276, 10275, 11289, 6592, 11287, 6675, 11169, 6674}], LineBox[{5228, 10012, 8162, 6470, 7254, 9153, 5392, 5230, 8262, 10063, 8265, 9269, 9267, 7281, 9274, 7285, 10065, 11087, 11987, 12048, 11986, 9447, 6666, 10365, 10366, 5459, 9345, 10368, 10367, 11285, 6668, 9460, 6670, 9454, 6669}], LineBox[{6979, 9579, 6589, 9384, 11092, 6522, 9441, 6521, 11090, 9280, 11597, 11596, 5456, 10353, 9175, 11266, 6480, 9435, 6479, 8186, 9173, 5905, 9179, 9181, 8177, 9178, 8172, 9075, 8089, 9980, 8090, 6427, 8082, 9080, 9079}], LineBox[{8694, 8695, 7063, 6178, 7610, 9829, 7609, 5101, 5286, 8608, 7031, 8611, 8609, 5614, 8503, 7524, 9736, 11128, 6084, 9409, 8498, 10290, 5424, 11499, 11500, 6846, 10916, 6845, 11502, 9398, 6082, 10915, 10912, 11473, 12144, 12145, 12143, 11648}]}, "4160"], Annotation[#, 4160, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[{5114, 7608, 5100, 5285, 8607, 7030, 6126, 7523, 7521, 9737, 9735, 11129, 6563, 8497, 9359, 9357, 9399, 5423, 10288, 9397, 11184, 6599, 9587, 6600, 9591, 9592, 9594, 9593, 6858, 9562, 11472, 6813}], LineBox[{5218, 8088, 9074, 8171, 9177, 8176, 6483, 8185, 8183, 9169, 6478, 9436, 6652, 9174, 10351, 5455, 10354, 5457, 10355, 9440, 11272, 6656, 9281, 6657, 9478, 9479, 9481, 9480, 6702, 9383, 6588}], LineBox[{8635, 7529, 8512, 7440, 9744, 7443, 6092, 7434, 7431, 8389, 6027, 8397, 6031, 9390, 9391, 6837, 10279, 11755, 11756, 9385, 5419, 11754, 11288, 6676, 10277, 6678, 9389, 11298, 9388, 10373, 10372}], LineBox[{9152, 5391, 5229, 8261, 10062, 8264, 6517, 7284, 5405, 10066, 10064, 11088, 11117, 11995, 11996, 11119, 12303, 11120, 12263, 12177, 12178, 6857, 12176, 11773, 11774, 9449, 11303, 11304, 11284, 6671, 10369, 6673, 9458, 11307, 9457, 10371, 10370}]}, "4128"], Annotation[#, 4128, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[{5462, 9467, 9468, 9596, 9595, 6681, 9469, 11185, 11183, 6707, 11302, 6602, 9490, 6603, 9402, 6601, 9358, 9401, 9400, 6562, 11127, 10115, 10116, 5084, 7520, 7522, 6125, 7029, 6124}], LineBox[{5474, 9475, 9476, 9483, 9482, 6701, 9477, 11273, 11271, 6872, 11522, 6854, 11516, 12174, 12173, 11515, 11267, 12043, 6655, 11268, 12044, 11269, 11262, 11261, 6653, 9444, 6651, 9433, 9168, 8182, 8184, 6482, 8175, 6481}], LineBox[{9743, 7442, 6091, 7433, 7430, 8388, 8395, 6029, 9559, 6030, 9386, 9387, 9582, 9581, 6590, 9580, 6836, 9598, 6835, 9462, 6677, 11301, 6704, 11297, 11300, 11299, 11311}], LineBox[{10061, 8263, 6516, 7283, 5404, 5247, 10111, 11118, 11994, 6556, 11116, 6557, 9450, 12175, 9451, 9589, 9588, 6665, 9496, 6710, 11305, 10396, 9461, 6672, 11310, 6711, 11306, 11309, 11308, 11327}]}, "4096"], Annotation[#, 4096, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[{5059, 9675, 8394, 6811, 11494, 6840, 12164, 6839, 11496, 6842, 11495, 6841, 9392, 6594, 9599, 9600, 6869, 10387, 11807, 11808, 9487, 5480, 12090, 6712, 11312, 6713, 9486, 9485, 5491}], LineBox[{5261, 11740, 12157, 12156, 6826, 12158, 11519, 6866, 12189, 6865, 11521, 6868, 11520, 6867, 9484, 6703, 9498, 9499, 6873, 10397, 11813, 11814, 9497, 8330, 12104, 6729, 11328, 6730, 9501, 9500, 5503}], LineBox[{9442, 9443, 9434, 6658, 11275, 6661, 11274, 6660, 11517, 6856, 11270, 6855, 9445, 6659, 9602, 9603, 6871, 10393, 10394, 10395, 9493, 5483, 10392, 9494, 6708, 9604, 6709, 9612, 9613, 9615, 9614, 6880, 9611, 9597}], LineBox[{9590, 9606, 6879, 9609, 9610, 9608, 9607, 6706, 9601, 6705, 9492, 10388, 5482, 9491, 10391, 10390, 10389, 6870, 9489, 9488, 6607, 9410, 6847, 11503, 6848, 11504, 6608, 11190, 6609, 11191, 12015, 6606, 11188, 11189, 11187, 11186}]}, "4064"], Annotation[#, 4064, "Tooltip"]& ], TagBox[ TooltipBox[ {Thickness[0.004], LineBox[{5420, 11757, 10280, 6838, 11523, 6875, 12191, 6874, 12193, 6878, 12192, 6877, 11524, 6876, 10831, 11932, 5994, 9605, 5993, 10878, 10879, 10877, 6023}], LineBox[{5479, 11806, 10386, 6864, 11526, 6882, 12194, 6881, 12196, 6885, 12195, 6884, 11527, 6883, 10779, 11905, 5946, 9616, 7305, 11122, 11123, 11121, 6558}], LineBox[{7323, 9503, 9504, 8359, 8358, 5995, 11599, 5996, 8353, 9653, 9652, 6886, 9617, 6887, 12197, 6888, 12198, 6715, 11314, 6716, 11315, 6714, 11313, 12092, 12091}], LineBox[{7325, 9505, 9506, 8361, 8360, 5997, 11600, 5998, 8354, 9655, 9654, 6895, 9618, 6896, 12201, 6897, 12202, 6727, 11325, 6728, 11326, 6726, 11324, 12103, 12102}]}, "4032"], Annotation[#, 4032, "Tooltip"]& ], {}, {}}}], AspectRatio->1, Epilog->{ RGBColor[1, 0, 0], PointSize[Large], PointBox[{{0, 0}, {-1, -4}}]}, Frame->True, FrameTicks->{Automatic, {{-4, FormBox["4", TraditionalForm]}, {-3, FormBox["3", TraditionalForm]}, {-2, FormBox["2", TraditionalForm]}, {-1, FormBox["1", TraditionalForm]}, {0, FormBox["0", TraditionalForm]}, {1, FormBox[ RowBox[{"-", "1"}], TraditionalForm]}, {2, FormBox[ RowBox[{"-", "2"}], TraditionalForm]}, {3, FormBox[ RowBox[{"-", "3"}], TraditionalForm]}, {4, FormBox[ RowBox[{"-", "4"}], TraditionalForm]}}, {}, {}}, ImageSize->{217., Automatic}, PlotRange->{{-5, 5}, {-5, 5}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{{3.448195411599182*^9, 3.448195434793573*^9}, 3.448195478843335*^9, 3.4481961075396137`*^9, 3.448196157040906*^9, 3.448196187472883*^9, 3.448198432369031*^9, 3.448219943370475*^9, 3.448233714965928*^9, 3.448298070389303*^9, 3.44846996785814*^9, 3.4503378617609158`*^9, 3.450353260383665*^9, 3.450429966228402*^9, { 3.450430618132393*^9, 3.4504306247315903`*^9}, {3.450430659731654*^9, 3.450430682240122*^9}, 3.450656423746264*^9, 3.450656481568376*^9}, ImageCache->GraphicsData["CompressedBitmap", "\<\ eJzsvXnUXldZ9/+YNE/aWkv7FtrXH4UiQxWESBHqPMR5jgOKYh0QjeAYEYeo oMYxjkRR64B1oE5VFBziVIeIWqsVrUNFo0axolGjRiVq1PPuzz7XZz/fc9/P E5K1fn+8v7V+e60293Puc5+zh+81X/va7/+s5z/nEz71Wc9/7rOf9aj3fN6z Dj3nuc/+zEe9x6c/r13a/QYbGxuv5r9HbVzWPk/tY/zv1VNr45/n9X92T2fP nJnOTb1tfPz81ZvVV+fuOzYdOHpf/+tN+v83p+n0ienA/MD679B08vz0yP71 nva/M9MdBw9MR++8Yzq4//D0wLlp49H13T3HDsTPNqaDd53ceOw2r7p+7sXj fOO5M9PJBx6YHjh5crrnrkPTvoN3TKfOnPOpZ++/Y7rtyPHpfPvz7Mm7p+MP nN2wNw8ePzhtHDzeB3fmxOFp36G7qzeb3N16enA6fupc7/WJu+5u/58edeG3 Vt/mu95wOnn82HTw0OHp8OH679DB6Uu/6UvaHfumI0ePTIdu298+75+OHT+5 8fAaanv0dPzo4enQ4cMbu/hV6+ihg4eml5882zt66uXtuztPbtiTE4f3T4dP nO7fnb3/WHveUTr66PG4U9ORA22mz09jbOceuH27Liw63+b8zOnpwQcf5L/W Ef6/Zzp95tx0onXubvrywLFp/9H7Nh5R9585/eDa/WcKOrS7Dx+Ybr/vTM3+ 3j7Dx9o6H71vHlhbgmn/vmN0fuMx9v708enAgTv6tbn3l62+/4a51zfXt9N0 cjrSFuOB+26fDhy5xyGfP3euQ4B2jlk6cBd/P7K+vudom8S7T299PU/imxRQ zp0bv51u37cx3Xnq/OjOygurO29aAzh/6uWdHg4cu29MP9eO3HHfvJrHD00b bdBnp0EjJ+88MFB5ekbooJHjR45MfbrOn5oOt8ceu//smKt81Q1LSj15523T vqP3BKVCiuenE8duG+R27MSDGzeN74pM77pzOtjAc3+QKRR+274i0wO3Tw+2 q4/d5j2Fpg+wd+fOTjWL1YWZt9TEbq14u3L2bIfNxjvOj3j1dv9czT/30os3 iAutf/QrG6zt8np4fNcBeDHXNv8/+Nv/m/oy/3b7dfn/l+7/6r5c9NItf/bQ ba49dptrj7nI+7a71t/xBmvkv7xpd///zdNP//RP9wu/9mu/Nv3TP/3T9Hu/ 93vTa17zmun3f//3p+PHj0///u//Pv3iL/5iv+e+++6b/vZv/3b6+7//++k3 fuM3+jX+5blnz56dXvnKV/ZrJ5vg/6M/+qPxm7/+67/un3/91399+od/+If+ +Z577pn+7u/+rn/mXX/2Z3/WP/PsX/3VX91V08vP//Iv/7J/9d///d/Tr/zK r1TXN/urEaq206dP04VdMVqe9su//MtdFHHt1KlTPL3/5bW77757+omf+In+ lyv9J3/yJ9MLX/hCethUlfXZ89oP//APT9/6rd86/cu//Mugxq/7uq+bXvva 1y7e0frAPTHzu3s/6pkbu2pIJ06cmM6fV6DOs9f67Nd/+Id/OCaWdu+99zK5 u2ot+TWTROPpjJ52//33T3/xF3/RP//BH/zB9Od//uf982//9m+PtaGH//qv /zqdaXLnJ3/yJ3vPwIKTz/e03/3d3+2TzmT/1m/9Vr/2Ld/yLR0nv/mbv9nX lC6ynvy2va9PwuvD4zyGfX0MB5tuCYbe7/3erz/3nd7pnaZ//ud/nj7u4z6u 9+O7vuu7pq/4iq/os/wu7/Iu03/9139Nz3/+86eXvexl06tf/erpvd/7vaf/ +Z//mb7oi76o38uMch/94bnv/u7v3q+B19tuu22M78M//MP7Z+bnXd/1XZtq c64/5xnPeEbvFw1a4G+u077ma75m+sIv/MJdBZ9v//Zvnz71Uz91rBDTy6Pa ym0ITLr4bu/2btMDDzwwwPADP/AD0/u///t3wO0u6LCUX//1X9+vt+HLcQDB oUOH+ihe+tKX0pONN67v/vEf/3H6/M///D5j3/AN3wBVDi7HCPlNo8KBS0ZD 91qXRldYzWc/+9nMUHX5rfqzclhwAYYg1YJtng1iaAyRv//t3/6t/02fmBpn 8JnPfGb//Kd/+qf9/awytPke7/Ee03/+53927vChH/qh/Z5v+7Zvm77sy76s f2aF+O5Vr3rV9EEf9EH9Gmj5+Z//+b6a9Jtpo29MPYbFD/3QD3U6pQ9Qwod8 yId0yti/fz/3zuO+OHjeOn3u537u9IM/+IPTN3/zN/dJ+Zmf+Znp0z/906e/ +Zu/6QMBFk9/+tM7mTFg4MGivPM7v3OH05d+6ZdO3/Ed39En7B3f8R37dzCf T/mUT+kvalCavvM7v7N/ftaznjX97M/+bP8MTH/pl36pf/6cz/mc6c477+yf f/zHf7wPmgakDxw40JlGLkIxnk6W9FG2y0TxjvYsoQmVve/7vu/0cz/3cwMP P/ZjP9avtTUf0GRdP/mTP7l3uz1+T8EPgmSG3ud93mf6kR/5EZayTKA9fYaO Hj3aCbGIcmNPvYJlea/3eq/p+7//+wc0G6fvcGjEWK/dOz3vec8bUHAEH/ux Hzt93/d932ChdBeYwBRosPdGsPPXT+g/P3bs2CBOKAW5R/uoj/qoIesYhpPM a1l0GqgEgfBJFhWeCbrgPzTQxQIgV6EYuvie7/menfd89Vd/dQcFspaJR2by /v/4j//oiIXv0Ic29B1AuW9N32CYPIP+wPdY5M/4jM/ooGKav/IrvxJG04FB +4AP+IDOQb77u797+uIv/uIOSsbB79s0Tp/3eZ/X7/vIj/zITlGOExD9zu/8 zvSBH/iB/XvmAKDT4ALyS8YLWlhSGhyqEYirw7Bf/vKX96+gFVaq0ZDs8xu/ 8RsXfIZbwFkjtYFHpBMz2rSUcQ16ZmRNKmwIRnryvd/7vX12ICnAeFX/7orO b1gReokQZUVYNWYKoMJTryqsI+0+8zM/c/rgD/5gZkDMIgCZgK/92q8dmP2p n/qpjuMGrMHtmRRA8YpXvGJcA3jQARJgvnZLXzQ4g+0TP/ETO+uiMTwWQWEN Hb3oRS/qn1NwobYAAkABK2YhmAa4hBwGNsi00C84ENyA97zgBS/oQIQtQscQ yTd90zf1KWHRWQpAync8C85HH26//fYuvRqYdmKlt6yhlvmGb//xH/9xR+br Xve63hn+ZTDwd/QodCsGItKYSLRFBsSE0fgOZIJq0UmnQD6NtYNCaXS8dL0+ EVABDWb1aZ/2af0zFM1AkUc0BtqockOMwhWcTBq4YXGQtS4w4gHcTkN07O44 g6ElbgER47/jjjsKt5f1RUTDgA4a9q7ol6/rUwNBInWe+9zndhJ427d92y4G UYyYTn7y8R//8V1asPZv/dZv3b//rM/6rOl7vud7+loC7SvqVTA78IJUangQ xszAXXfdNX3BF3zBgDYQ+bAP+zA4/xgRdgICpvGcuva0LrB4NVKchqYAb1BR h1fwG3gfDekO9GjwGshCG+EjPuIjhk3xSZ/0SZBQ/6zER+CViOioUCNAN1TI Qv1IK3kv+h8kSoOiQQ3k1Fagk+9nf/Zn92eBJMiu9X0nWL/NGqy/5Eu+BBnW VSjWiQciPOigL1UYfPmXf3lfE15GR2isHWsC5L2GGcJ90DETx6TDB9QoUKF4 NjTPJDOBYIXJ4V0MkAYt0z8a7I91h2xo8AAW6a/+6q/63/ABYNk0jrHYyGN+ 0zSWcY1x8LtmCAxI0wcU90YmQ75DMvCVJhTLTLq8gwxZDZm8wzu8Q8f0S17y km4kNrKYb7uiDwtKhApZQzDIKxkKBiBw3ltwZjqOHDnSu96GfVldZjZYKZTB 9jg7CkpKQo8BoSyA3i1a3uzqFotpg2c0/Xv++kmdzXzVV31V/4oOAEhARmuy oXeaBmCRfjQMJVka16FfGuwOMNJUddHimE8aXYGVcQ1xJ4gxxAA374N18ltA D0ulT6wbGESot0mbh7YO6EeuAZqZRh6i9aDSAma8AgAc/owFCbNhlQAe/Ezq A0z8HiBiiTFvUD2dQuNiRRFyre1C2mxc018JM4AYpSdeRYMhYfaIVwib19F4 XVNcXDFo2J/REGVNn3ORYS9QUhvQWHhYBeyj6SYDyeCG1fzRH/3RDbEEalH1 PvqjPxoq3FtvhLEyRjrF21nURkTX1tf0E77Ar9CNGV+bAr0N3I3EaTrmeBEk iJRhydvs2k+kMKwQrWPu59t0G5GX2rApyubsf7MACM5f+IVf6H+zCHyvS4Ce qXTxWygV1se7YIOa+aCqnCedSBDerIQow/wGIN4LeXI/o6bRBzgO2gdqOJwM DkVjniFzVhhggGS4ASpso4idEPvWa4hlIWFLTDML+HZv93Z90VhcWC3oBInY 85/wCZ/Qf8OqIacgP17MYLQLYL2sAQ25wySyNqAdymACYMWQm5+ZYCYdtqy7 BnYvF0HOMcn8nsZEwbP0/IAmANqsMZUO1of5sLE2cEzoRrzy+muvvZbhDRhx DeKFq7TH60NAwAAj3sIUtzdVXGTPwPJbvdVbdWjB8DfrcTB3GBcKQ+Obvpne sHKNDkdvmBBubagYVAabABlNha9rT+2rzTUdKvAv0IWMEp3SPffgDYHt0NA/ sbBpqHUMicYzmR0aaMOqpkEljZr7At566619duCnSAYaCwZVMCXwHr7XwYRK hqrHTMJrUUYwEukvfBX53BZ+B6Bu7+wCiMgOlCa8CChHADd1bdRU1FPkL/oB Dd4P9SE/UW9p9A9Kpf/8FjDxvXP34he/eMwVDFG5BNWqSgNIgAnB0KBSTDIa cwARNcIRlAwbFcdGN2sqxpKHRTeu8XhA2bow9Eu0XobelmugDQbBkiH+2rLd WACFR0GmrAycdMuTcFlXO1HkWf1G/oIRMMGGWm8WigoTlWKASeWx+Drma0/p vYcL2ACL0oWFYjF0uWCblkwbrBRqVxnj+XoEWGw4DOwTvws2EbNHA3wMTTcR HAWwY1fAqegjz4GDwckAEooIYERr5rkoVXKqJoAuwc31pP4MlA+8AZjrCFim HBvmYz7mY/pzeT5j5B5WHs8wLJ6GSwrNHe4HMQs6wcTzGa/9Y6XhuswX43Ne VVDh2nJP1g0uy5zRsEyapBz2GV4MiZ+msowjKW0xiB2+l8zpOc95zsLqgZge +chHdoalX4G+sTb0FVwAv5sKfvQNxEIojauLSpaKJcLt2YYpAllV1Lem2gxU ooEidNttw+kI46dnNtgCAlx3AGyK3ujYA4Wqmrwa+smZxBSg4ZvR9mKF0Z1p XBPxCnpWV5MElgTb5LqrCxJZcdQ0fs+KQl3MFlKGmWEMuCvwOzVdZwdE3rom 03WgghaoAYoCQVAd44HFYzbB/r2H3yBz8fw4X/QFdoucNyZgrEv/GCwTVkzD rQGLp6Gj4Wqk6Y7Rb4iJhseBhs7BeOFnNJRN7m06iQBlqnQtegs/SSsKJoPV jnnjNab3lltu4d/B77A0cBmiKrZhznGpqzqW4S/0mtmBduAPMHRmAD6CRxP1 rPEGXV38CVi4tbFMzTek/ZOf/GT49ugMVAq/bvM+rjHfJUqH9cSc6X2hQTlN 3Mho0ipleYAYjMGl0NGCMQHEYRJoFuqokJAql2Y7DQlNd2hcw9HH6GBeNMQP WgSTAFyFGLCASmGk9AsS4R4gi/+9WasX7+VCJQE/cBvoUV8IjQWHfuGeiGD0 SrgW9FoSqGMXdYNr/A4cg3MlDPRKB2lYYXBsGpMIvdIwLfVpw4Gx2pxQngle adBE0/rGuoGUtHrh8I2ru9RY7fxka6l3d6AhZGGI3oely2vav8MbwLTAGtAM Z0/UQ/sQIWdeCZ7f5m3eppMkzBTBBzuCHNHe0AhhiUwNLIXngwfkPsy/kbQO LuCCLgs/bqRiD0AV+hJhW3uKtcSTmhUyRoQ2AVK29NVbu3HBAsGEaEZdGCkN dNZz+t9p90OW2OLY7zTAoY+X0dSMdkS6sGWzDyZPnyAi3ZvqiQZFQTLGC/dh sKA3MluIbygLHRI9DwDCLN/+7d+eadpBb133cbEiCBjYCACl/wARwKHHMx8y R3RTwM179XEwn1AXaov6LDoqLl3AaLAXM0Thwvhh+DTcENgANB18GlIstWFG KVohaeBXwNM/1rEx6rHeIAv0pQJLX/ndVvhrdx8r897+HZYWCEa/BgsNgbP/ am9/rWEviIPuYX019lpZBHt7V6BRGBaaIdAEyJlVgNeFZ+BCE8bQM5poG9Ii WscU83yHgCwCOnP24UzfmAOaPTT4T5ti+TL0ZkiLhiUnewGZmsTwVd2uejmZ CdQNr8M6fBWUx1BUYqEIUAtCZY/atvBb0IX1xrONZrCqrC6uQFYClBOw3AHC T16DMHPBA4ARUhJmxstgNJAggoKHqksAMwQADEh3q6TA4BDgOkFgUE6c+gcN EwtSoEH2rC+N7zVPFXIGbLG+m43kksHrUK9sUF1DXAaVihmMlYdp4FppS7dg dNzX2O0AL8wMnR1CbG+fHVN7Ot3yVngWwCWudV19x8zTcQYOL+K1OrRYLZSD 9psBVvgFr2iTOrrCCErBGuo7NJjKLqYbz0KCzPc8sfMSgE6Dz9E/+AWNwKuK Gr8FZfq1oW0TWdDCjK7Lk5h4zBq0Cb6zH/rluce0BHg6FAEAmsnQtRHeBXrh ASjHjO0Vr3jFLtScNhEoEio7M0IvykuAEcIMAC96x7/QIyNGTEOPwBf1l7cD ISCJboXBZXANsxu90y5opDFLhoClS67htVTnYpYNtdB4BqEbGvfxG0iKxjMb bYpB8AbFwKVcZDQYFtpGt+kOcbCMjbGwpHxdFtewC9urNwQp08ACMSWoFjBv fVngH12X7kHdRK/0LjBF2PZo7+03voK1rDjswjREwcJBO3fv6q5JQuw25Czm r34sTF+GrR8L4m/cz1wtbtWxmtHKxsiGfgdPhg/R4D10jab9pdedUeKOwmCg ARYWCmAAED0R3A8JoGjBWyBp/Df8Dmi3IV5SrpZgwmYFfJAZIKHxL38zu/QV Ea4ahH7KqtFnHcZML/eol9JXVAJtMfiyLiuAbcgl7zGrR/cV9+hxMDGnkb8g RByjydh4FLo/NpcrD8ZX3VesKFpZ07gGMJniXbt2dV+1AOMaYgMQN251Y11G 2nOZUTbmYXoWwoY3NRY8ngrVsWDpV9WYbYJo9Aglo1xNw22FpE0SQwKrG+le MUmDWahwde+e7hUDrAg9fqN/VPcSE50efoYF6OCj6JV8D9CYRfqNHkWDXJEt SH0MEgiBZ/BcHPYK3kaia8aWCtF07p7pwP6+O2DMzXauLOYUno+sgQEjePmM tQgRolGgQ0JECGz8NPBuY27MIzq8Dg3uN7PLsUAAXGeuUCgAL/fyGxp6MXFN GoAUvCCkxtn/RnY1NjjYJOyM9bcxP6z9VsB9dlnyrgb+MQ8YlcVQxjXWkPua RlX4asijf81q+oenPnV62SMeMX17k+cN3TcVUmFhDA9x20R/+lghJRDTPvsC xAech3xbr+E7hLK3FOpbu4mXmieGkiodzSC2WhDcw9wMAal3BQXEYCFMWy6K dovBQ0NL0wNR+RddcDuxaGtMNFq5/ku9S6jBgIJJRltkYV0wZgWOVQbRGlD3 OMnTuenBRqAPPND+u+/Oaf/GoemeU2fmKVpP6GJ2yeuAduguah3MFQkP42No eC7sPvcwZUp7Q6xwKabEeDJeEDCvmgheoQuzBxE8uk3T2Ud/WI5Kae7vb9Os UgoQ9H6zOiCgSXwRjEVmppK3oLc3G2CABC6ANE2/AVY2vcS9JDcErf9z/fVd b9rV/9+u3XDDjOL295X9/1d0KgG6dIsRIuKwNhFxUCeJYG9Uz4RDMrpGwSNR FkAgkkdyaCkxWotmIwJK3X7OFJrfvffeO7K64G6KLRriUivfoIDZAljwzBcN DwFTSVOssaKmPPNbQKymyzt4rq4iEGFuKo1nMXbmGs7F94pqOB3flbbauRtc G+2mcZJ1f9eemoDp/P0NzRvTbY2dHjk0b5c6eOxu9kSOCViFN51GD2DQ5efu LB8lFWAgkrBr6QSfVbcxJlkEhLTGJ9+Z+WU6BJOgjwv3g2YCJATEabBH7S84 gyE0+pAuA9hx6+tgx4g29RUa/WNi09bGHq97xjXIiUVJFq392fo3TKR/wUXC fM3Qnv9fnG+aprrv2j5eFhIAsoiAA4UEXo0Fh/uI75hn5oj5hbNxHY5MP2Zi uWyk98E5G3eT1mB0cIPG/Ab9YbfzOCy4NDAZWmOQIwWMJWa5zMDVIyUHAXtp 5oJ7VVu5l8IArcDUe5aJ5adhmbGcaCXaJXiGdOPjU8C0NpTP0iIQ0ESAnp4l pgVegURGkPB81GGmBTcM9lDr6zoNGEk/ffex6dgJctnu7+rIuSFyn7SGfXAJ rnGUIlUwlBiIBpQ45+Wwc7CEdJQRQMxgUmeIzzQaCQ0gGZlE1C9ckUw6mIY5 odIxGerHLKa8G0Z4uG+rnTpfhxZVWZhEVLemQkgK8B0TKWkGToFWhnk14FYD sRhwwp4u/NZ113XAXybsizdtkdHeLhPgS2AH6cRn+DueB7PK4H/0BT4GprgX 2YLfpGHg8kI9cMAjA8U0GIpwBoroxwz1GswCNCVBw1SWge7NNX2bRWncXjUU xq4vyACG6UvEV0zuYFIN2TM4bSauy8zhj1i1tMp1G5HfxAm80WvchwoIXiAC NBdEP5oMfYGQwAkEXfbZukNN0LMR9eVNhTtx8sR02/55W3Jf4cu6T+OJHVko G3BdHCdm3WAEM6FYeRoD5vRCfigrrI3GA+KVHhtFxPiA66qcuK+DlslzvEuv GiNViuiANzWKvrWFdA1ZhFRN4TBtAgUvKlcZjAMKvL3U+XENELIGrQcD5NA0 GTV/84xncG3evbnF2/v6oVCjEKDGNbBfW7MNGTJpLA9yHhrTCkKMMYENSgOx 6AsMsuk9i2wcxM0WLV7TEQsrssEX4eXyZf4FGm4BgxVB41DJRNJeW5l5M3f/ KWyY+dWdBOfREGLdMqsK9UYOxhprTPEM7kVKVfhzRLq5B+5JoIWVUFGmm6Cc GUQzgPSZpkZt6wg2VXQ6f3I6sn9j2th/O+idp+SJaxwbikXVwtgFl1ARqhI6 P+IQgxJjEpGmV1jHIEajdgvcFIzTd7HIeEz45zeGPVHHtG+QzIg1WmozOCcP Hjw4A+7KhV+TbmYuL2DkMY3LJvuq0MvALPyCXqYSDuXVCApce7pS+eZv/uZz PgGK9w03lK6ydyjj8BmUB2YLvtVQsPGw+j38BQsQIMHH8ArqNob8QAj6lGBm GIZa7BeWGnSSqcj6jbaubXa+irliK0Vj/vqNOqUbh9fXaXQIscwC0tAbSs9v jyaFqO9p6gzGbUHu+cK4ZAi0AmEXu+g0AEkvBDIPuQTAJQo8Fbj8FP0QAewF 1tGGsQ5mmcC5k3f0QgmDDW/rCnlCRx8vNfNJno+yBb/CjYEIo5PuTaLT6I24 uWEEGg1wWuUZawFzcFsLVI+JquxhsKLeMKZuUfpjfBo3UGNmLh/EYXoKDWbf 5sgVN9NiS/Wc1VFGxjVnwsT1NsUDVWbcsu9x/u0VwxnSVY/277lGg3B27uPV W/ss53gJ6GLkjSIEMD1mQtni4auw21HgMtbMCleQaOEWMQHHiQLQ+obg4G5i paG1Miw3/ML61D9YSGMXsGa6yWIbl6FlNoTp3DSjaiya2zSJlXA/zwWlLLDp X7BpmAeSCKUWkFV2NFN38Q7lXeg0G4/tc82yI+dRweHz6APweUQWaEEKww/T eQd1m/IhIg1K09QvaDgqFX28SzaQsggZ1USmPBYCcecaoszkIRpgro0wIpHl LGN+oJOpKl19XMPAgKaadFhsfSx9eziToSf0exwIbSYeUZfhOQyQRzeS1YUB h0eOpFrAAlei53g71I0u1djOQm1f0sZmd+E4t7SKWspYUPMQh7T0HYE5lsJM c1yBZpCb12CuK3hBcOh3TdXPPWlmjkMLGLWsA7hHyKBawi19BkPjHmDDxDXs X1IKJCIZGuD5eJCgbaZBxVkfNWyI9zLl6ZeDtlADWKEU+Sr6QJu54jlG33gW mS9qYKhIeoeArAxXoegmK2hvy3jb29VfN3LS3Oia1hl9Y162tnnPVj+WHXt3 hA307G514cX7AG1byyqJdFmfbxTX2nPkrXhQGWrmjvmal770peMa2hvsbMu5 cHWXOaaI0JgWuqJqI0s07xF7uk37diE2emY6E34t0/qQxYSoaG4DoynPUcT0 Kbi7i9er7KHmQK7KavQIukjjHu6Fc8C0EBiXkvYIulFw3R7MMJkOKMioCqvI tTTf+A5jSL8LTBI1yFAY/UKJhUEy5TQsHXPtoCYzwkG7UsA4shIJvcg55f1Q ndsd4IhIr0Z1gpIpF8A0E6cAkSigm4bbvObuYvK0DUEwNUw3XWtDnr25s+cX sYEWhRmA1Y+owIOEVwDFUs8vcpnHkoUmWBkNcjM9v3pcs1oDnoUa+cJh4g59 GvyryXPZCYuSkwVpa4UCQs1OqyCwaHBiWQxDUx+Dzbgo+AHcz84zYX+ATVc+ qj+LAh1ihatW0IzDIgGRutyD0gorb+rJutNrp0RHLFRQCK9iSSOvrEsn+JzJ NVAVDIEGhfK3Xjca32EqMTlmELkxh8Z9ymEQawEbBqH+Ay82Ccf4hTlitd9u kW+iA5jGhKAjESWQL8KzV0Wnm3RQK8UFC8b42estVFk4ZB1wbc+c/a7XdrlP TJ9ust6sMyIHyxI1EN0BAwNfEFOIKGM6YCKoYfDJK+u1qIRMJZvC9De4cz63 pzNVTC/2mMMwuNBE9MKB6/ZEmgaMfBZxYmIIDdwgnmjuWFCEoQoq8pnCdOAy Dh24jCHrFIBDmLF7uHgXEMADAMZN9GVOwDfMGw0Q5gUtAStIsuyNnbC87qSF oMCbpr2JCxKgVQvANBwYwoZHyPXRF8CnlV9oxu3ENwas+gOYgVOjT8M1003i BLoJupLTF8nVTCKNfoHbNom5aSwTxsqZDSksfFV0qVkxAycIrNKCxzX4DqoJ lRiuqOczBOab6WGoYBPeQREb8x95PmwBlQFfAkKK+9oU1HNmSw71Kv1l4Acs ECi0D7XFbEGG0FAJrjEtRGZzXxJqZGM/smI4iHZ7bsChwdkNDaF+qEXh9jBD Av1Bp6M2Pg32i7ACMVpWwBypYAo4zR3gQhb9AQ0aDuXGHrgnfYJFj0yPdfg+ fg2+qKYoPcCQtQDO2BwIeOhPWvZe1DtUZ72lqqLCnwYdwY4xd1R80rulxUZj 3lUemIymYNS67OmqsV4uaLZZV4MN87vctePOoeRVLEZN9rjG37Jm2TDkW3s7 B3bAPn1vuC5sbnbRwO8hXTAPn2pk9JDqLnoOX1thgYRJXS5Alu7hZBSy+kez mFKVEFhsPrKkFIkSWpcsmVYTTTeJoZqyqubb37CvljYrRoo2rgnRdA/qbJ/b K9jldOPQHrjfhB04KkPUDQUjAv4YWcAQpsQzQQKrjCIFGciV3RTISjODQJ3f Nq5z0dm4GCH01R0RkAkkBHkgWUQa71QdRkrCedK+N1FH44iGwQi3oUGyJuyR YQfZ+TuVCDQ0d0ehMIIYE/qQcK0/MpncDU0j6Nt0icy5rpo4Cx9lecYHQNyJ ht8ysxxRptvbNoxYwYBQ1tEXGkN4WF1Gu4VNwj8a/nREYRkxV23dBjxRit1Z 5ttRfirDcPSSNS6DdXBU2JnRcxpsshmZEjaOPgZCQzltykj99HF9IEwlzcJE NIT06nJYzAj08zxtaTg2vwNmhg2AIYouTA79DZgCSXfwAA2WjAxyIA7UgQcR 7R2wuX2WI97SivL3OUVAq6TiH4QOmTMdbkb2UA4wufidu9CRVuKRQQMgOuyu NjPJ4UypFFj8w00l0IapJ4owFQY4+vCizuZTlVUbS8w6FPsY15jPKoczrgEj hk7NCMHppkV8BEZTGC7kz7y3afnfBQt6bYJNcZlhajFC5E+jyoFQdF7T1lI/ 4bFswbHwI2iUYmmoR40cBSuOO2Ss+QegbGw5u7nTgLujkIwaFiniAYrSiBGY lqOjx20IrBl/605gspCSTCRr5HrCQ3B+YZyiWaHZAmikNJGUNqJLyLx9Qv8t 0hBeDr8U/AwZ2kVa8x6TGdWWjU1ZK4+GlgghmfwOHt0oREOD1EVSVYH6Z4w+ 1RxWMyPa8O1h/G72ac1c6apB5RpbqipdUbUfpf7awoexVuHIoyvBbPhKGR0j QVdsK/XwugxXYbBMQmPBIhG5grXTLJONTASAceW+CTQSCCkrIMHskH9biQBP 6WhVYaeBI9G6mkyHrBVb4MbMZ9YAFRCa5jduimJ+3SJDDNBMAZ2g4M1NCDwX LQ4smNdoHRflvg59VE/GptO0ydhLcJbe3F1j8DasM3ie/NBEYegFgQn+yaLC l5zy3PQbPnMNxpPpa3AF/fU814iRG9xo6ESq7tBvu0/tiiWS5LXLLLbBUlSR KHVRNAKUf5sbU2GDogH0g1mkqajBGACPoEF0MRvch/voprrGSJgVNvx6n6WU XvWqV43noQXVxo8FDWwFI2fUo+tmMg4z16hbAYaQMU+QBmNy7wb6KQyKiafJ IGhIaBNnUbgMPsPImE2ZDgDlO11YJQW6ZEYrUrnkXQAPplR7aUcGtNYrKhJ9 bVNzCQC8aTA9s72ZdsgfNsK11A6QfgAfkLrVAgKBUZqeKKAcvwEln4NQrh2G rQ8wrssXLhI0Er1UsLemo7ladM1gGw0+/eIXvzi3y6wyQ8BY6sW4Zl2nlM2s AtogsUb9T4wYpbFSnawvj78dLZmCR2KQwbuDzEcyCav5LXALFrRxm+Grx4DR XSfNkHBi9gIcAD3XzAaG2TisDAQmqYIJg9D0FCc0mKgMAcFtXjEjgxy1n2mm kCKgWRdeD4YhDQ0K0+RguAgAuoZQhZRYoJe85CUX7as3aUmjCWyAY5Qx2AIC EUZV3uVxD9/hA7B0kH03SmTyCzqNrjF0fr2bmO7SHULHkka5A4MGA9VPYVKO yqR+/SZc5IBMsxuTacC9AjuDE9H18vqNa3SToTUyXgAQMquqC/rq6SEgZFXR DRBV4BeqxGEE/vXVIxoxEwkYCVbUsqobNF7PiqImNzEzrrGSy/y92W+WCiS6 8Ate8AIdRPBXI8U0/B90lZZ7lszbBOtq+QyLCVVzB+ca9iyqyeAwLGYrNS30 HRgnkhQCSOYoU1XSMnwsbSRhY2jr/k1NwTxcYibqdf89thbIJD/AzF05O9we DgbbgqLMjHViGCDOG5OyWRM6yuB0IjNw/KQ00KoTGPVFqtdWo/G9Fc3oS6qW cIQm9ofjCA6d1c/Md8g93Ajc6t+4ZiHKDEy6swVnqEYJkhF+fMstt9SG7Wv6 fUgWhDFqIsywjJm+cDBMvmN8zBWOU2xZSKDNl9XjIfqnPvWpXfMU1vzEHAG7 xRQVhkb3wRnY2yo1+7RFpiMti0wnXg0bp3fErfcyDL0wNJiN4X2YsalmTDPW MUuthqmANwTEu1h6tLv028twkX70A6bG9AEnIATjbkxqHdfmoN5/O0ci3TYd PXZkOnbXfRyWsrFT4rWxe4gXDo8aCrEZYYVFuZ1H9TRVV7O2NMmt5yMxs/bQ UEZhkyGYxogTkgZ7FffguTGAwZuYbOmDRuyoPVu40xW38dF4TdWOHnhB4SlN eMEGi0yGbGeNEBhUPLqyXg9GuBeSw6mExdd0U935vA6DFUcZnAIOAAXiXdCd zzKzAo1NDSrCMGEGMs0Fiig3/YA1FFKyf8wIUNG7RKvkHbk12rqTSe/1c9Lg 1DJ6UCZXT5vdbHwfbcSEWeV5oF1fAIKDrnDNYnOGxP0t70P9Q7yWItcZAGCr lIALZFaf3zqL6cThA9MdJ1X9n7qGavRYdBlkO+KAJWeAqGKg2TgCL8aDhu6D uFCHghRZK3RhDUlLNMEGoAzIF+7POtPQYZwM3mPBMiSve9Np6d2Tavxuofrt HrsSshYX3GJZSWh3f52KsagGinChLYV3a/sWf11e04rpgbRkrVCv0HB18/Nc ppK1QdFGcOjmxxzBLGm29pofNQsZoB2sBo0hfJMBhTImQe4gwowapsGTOpPN 0tKoTTJbKMVVwlg0fd4C7bTMn2K1vZ+pBPKY1awEMhUhwzSx0lyDR9E1EOXu CfiV77GUHSTAtDPNFCNZg7Js4O7D+6YjJ87EGq77/vE5QGMqGdAkk8D6w7C5 5gkdtYNqSBNzPWkoeMAfuKp5MXGWNYWtaC5A6/oS9IPQGLRKzKo0LD9NJhZn NU5kwQtf+EJXXm9YW6aBEPS3KjexMOHMgBFdLAvES9xL3z/6Hs+rEz2uq8vY q9AiIr9pZWLWYx7wOPhUAFB+ztEjFnvp8N3b3QJZocLTV7Zqijx5bccn4POk meSrzqFngJgDT4Nt+AzDoW79oiEANWvwMUJfCGerIaAhoIiyjghheK07ADGK cerA5sAAGgZCnbE27Oy4JeD0/cenI/3Ev33Ty0+dj/0sb9ZFHGOloDpSk3fR Z/gGsgcDAgxiqEiAxNgYI4QozTN3LBsyRK2f/lltD+JS63LLJo33Qdw03ml0 m2cP1/bmyKl06ViaJpr8Gu6pPU6DQbdZEhA8rBy6AyQEwyrWPeQ2qhrMEs3Z yYMYUSVqq/gNdRleCY2C6sZXtUlwNJSeNJ7qfmf2tucu4NoKPohGo4i8GweW mWg0CGbYc09cZPsaITX/HEeAGgIpGu6l84AXGgqJqUVMMVwpE/24D3agRxOk wGXgGqiahrHUxUEDvABq4z3mrODAaGjaAaFMyvnp5PEj0/7Dd49p2y5iBWVk FVAaVGa9ORbQ2nTwKrQT5sNoVtqd9M+IKOhFeJuXZpVBQ3IV7++f3ddrHhBj 1kdJOjBixcgq1D4qqs8HY5VeMRgTPM4KazRejXtptfL8KqogSBDEhgCnEac9 SCN2//8UUBkykhcG0xiRt4IGHW8+EqqpYmbj1fDMZULg1f1a5jvq4VU3NRPD GYInNCmhRwxDS7UWtqpoQmXQ/s7PyG3lPQq8W4vc3a33iQYgAWaCwNAms2DN OEStGh/PaEboWphKzfWBl9/FabYTh6oe5CCvs1vTs10IC5aKjcxq0y8tBPsM S0dlg/DoqykLsH4IkPGqybJqHsojcNFq1aVg/5aGQAyo7sOenBOrKymu0I1G 0tDsYzfVigYX7qWd5hHif6yVGJwKhcJDQFLomsLiNSPWVBcSeLAHcAu+PUQW 9oTNhQGhuwAd38JJApTRQ/54MXyHlazzkBIESh2FNjgp/UUO2Kp4hosG23cD Crqssl4Vn6FoBGvsWqoTvGOOcE/Gy3WzQweAENLWLYr+LXdBNCFPoUk4EvTC wie3qsIZOzoNOKD1UNO4qFqwcdudr6d4zM3msnRiYvrpNxJDm4XG0iFVARmy HCDpVta7YTyP70CR+gCgtNAjYzGBGMXfTCmkl2EIzLexBerKhUqVJ5DREFBs OG2vdsEts5ggDW1uXONvNA50UEGF9lxpsgN8jAxSJUHtprqGC6/8/OM+ZWUa /7Au87tcAWa7fBsDkLm1hAZLbFpSxrYMZNNSoXeRzAPQS0MjoG05PjeN0uCM WDe6cPkt4tL0Nt2wLKJZw+bm826mhD7RbcUkjWkCzCh9bXp39NYi4s+c6Ufj XEDEX9uJgSnErocTqkrAh+DWcHSUVf7VqMLQda7mA43wk18/tukh/gUj7jxE Pb83eQUVgTnRfajiToOTo3XRKgHLFWRK0qZgeRoDFmyW584iGsicSnAf4GBl NKC8hiRH4dgq6zY7S2+88cauBRjsgmzr5LtxH9c0451pyFLHmX3xMMgt0/7q LjeMEtJASRbkNqXHaGDlMslVUstPyxQ9VFd2JplaN4Kmpax3iYbTB70NOtNc h0vBTQAvALcGHK1KlHbwAGQWvg17h2DXm65Z7cFpO7DR53RG6WqFSMzMo5/c Y7kvLCjBCeAqPDNEuxtXaO5ZpUFYBrhK7xy5pSh0ZlXwzIa4RfZaKo8I0fYe V5jIhunOXoukjXEN9KmXZsQAVokJL7JgsajUlFt9TF1jOetA2nEfPMXUldXN LltRib2dbRtLpnmAwFbl2lv6EqZbGKFhMkRm1dHMhqNlAiVC2gx3q0TRLFNC 4z0aqzo+LSFIs2IVsGZeoR6r9UKpwo655R6EKk43Sk/vgL8nrOEPpgOmwB/M iYa1zPrjlgKHyCHcNAgBcQ95Q7qVcdWv0RkGkLYbLEQJnfYPIDFxgsmVq2Fv NUzNa3HFOJSBZsq9MgjnTOM6i1xghrDlJJwxUCd4LO6DWzWON7gV621US0eP h8yRgzxXdZ+LwaMdozihEWNLgR/0QaYRzRpWQ4SjvdugK1Yv2kH6Vi1AR5Fs u8EsVzWS0V3EUMFqUCGcQUqnVV6Svs8834TmsRIxa/0z6DddkgYzs/arto7e axYz3S/usNetS2MGQSNd1qXvdmPABNVDMZh3rCo2B/ZI4wQ7IXY9wAoi4ZCQ G4JDXZjGEoBo0ISeh96nix0YoNjB3Y1dsHQMwK1/NHOlaRZXpJlz6OAtaZCR aNMgTAHC4GInhuvGwLOKAj61Zv/KsbClVivBI1TKXltYILoSM2PerX1zUPTa zjFQBOkSMh87jFeyrlATU4elz5oj3FChWXfwgW2HLmCAla6jSpMjkGfRrW4x jNMFBtfleQb9adb33aLKK8bhGDQkQeIS3DUhPEyJ1A/AlZVHWTq1Loul5tJl cShIyDi6hRtwhcPNrXcuBDwTjjlwhwkMspLWuoRqtLRDKvR6DBXuAZljDgFV jITKKRpM2Mww4IVkywMPoGe0bK556hdr665UJCtmFDRrCmBmbeV2BMdogaqS QAOykI9xE1rVY9aZZN1um3Fy8pmEBPKhrLFxDUu1ZMEiUxQuyZa/OYa6p0MY ameYsA5y+9+wvmOIPIchsnSove7jw/iu6RjPZ9joK2Sieg1fYfkjB8nBvEsI j2nwvDIbUGhTLsdlRYzRMdvpFkWfF4m5PSi9LnilVFG1fWiqe2lvgD64J/LJ kwB0SaJT8FtWDPlk0XKaLsQqvLNT5v56cBTjjLEjcZgryB5WgcmAgEYoGpWF HCFXOuDeJetlybkdBMpQ6groqwZB06sBeRi5cjeGHNZwHE3u68TXHkiXFUlW 0miRzaJPPk32kpADrgjYOvFgcD+4ddmyIzjKVMDg6wjCbuk8pEAIx6C7SMsm VIztoQewRGyJ8tHMXhXUXXSBn+Yurkg3G0jNDbu0OstXpCKfPy2KZWVc1CxT GmJU3pJuIdBoWAZ57oIyE/AkF4iZsPqOsVKaxg1aOHFReLLv0amPvEOxhLlc 4DSC9R17LBsdhFohGZgr84E5zXKV47Xfa9xJ1VlfEw3OYVDSM8N4njoCQsbC w6bH0szZFsEccaNVlQVoKq9hrBnCIPUCnMmNA7n0MMVSPcbSRwmrARHWsrwv g8HB11kvkGsQFBmNp4JnNB3AIChTzq2oDG35DIJiKmJ3INEFKFJh9e2Q6zIs u7crRqr5NAG7tZXryUPT9Pv0izDRKmtW09YrB2+0aozBQJrHHqd0RNJ62j06 O/dWul+/BosCOPp+SMPSloOXAwBmF9MXJR2Rx72KgHVwrhdAs3JQ1XYcKAeY sFXYJoiXgrhXdgpPMu+ceWZN0h7EwWuxHXxUhuHcwurvTPBHxlifY2E8bHai zA0mBT6/xoL2rAcaTLatoCCI/ewDGO6BR3UUlqieTAhOeYEGVAEHh8ReX5gE EKhyDKQxbm9lLUuOjkdabSCTWtCey7s0KCeOKBsEmMlNNIi7EbW06/4yGpl2 jXeMTXnAxEiwe5powMT8JyZNf7TJa0g73YUwT37H7AlZuoT1jORFTTC6iBYD FIAEUhjrWX7EO9psXdqmPE/voZnnDKNDv4CDwyDR3o0aWbgP+WYkyF32aI/u 8wbLIoV1gdmqkbKsaqFGidzNT7O2Ms0giFmrVW/Z5eTnVaF1LDE/XVSH2oWu L1CQDuUHH+ABY2UODAcy4EGQ4yh447qGXnn99dd3JcL7zGLI3BNWvKhosf8O x81WWH6zT2bmEeDwakQvLnODMa2KqGsI0TtPg7fKA403q2amaqkRI77AlvuU wBdsaHVJNVYQGkakkbNAwL3MsENIEkpvmt0l7L97TIcW1I16JPZlkSZRmcWN jMbbyUway6FfKiTGiGiGCRAFekCzYApsIFPuGucZshq1Wnrnvmc+85mDVZRH dCxJKVTaumiJFlWieThinnkFp6rTnQYAQT6/hXHujWtMGcGeh9c1uDhD43ne hyINAJPBbqfFgp5lIbWru+oipdF0p6hgW6bftCSkTmw2QaHV/nNHOw1id1VA ihlFeFPMPDISSDPyh8mrPxEmhG8/7QbCcB4cDnOR8ykg4awNpZe0AxSjDDTp tkqfOfTJkBXSoEGuDXoskaTajD0EFXiYIk1jjMYzzBPHjlKLRBnxntg5OObp 2LFjaZHrE6XhdWtEnrmdBny8Ftt9BhhYuaKVcc2CLCQjCi7ogCAQ3M3wOayf mSEE7n0YFebACUJmqLo6+mLxl9zNj+pVZuqgM2RuFoGChzWjYf76TTorks7c wksTv9ZyVBukuVNIXwjDZXiCFtoAzCbc0LSo0+4BaAiFXTDHNgGe7cWzlaQl 5Xbya24fI/d4RmS6Fja80aQSzylGDYWv02Hd3li98mqaxhRoNNKDk8gjE1h/ Q7V4O4wM55YpqGoE264ctStp5uQLUtNF2ytdVYuy5OpHhYhxzQIduf8T89Bs IYM8nr2HznhTXYN/wK1R+rzPbakc4ePz4giygXZkdOVRDdRZjshWHly9lHga jc/QLOdKwxZpAmwINjIKPJ0S4tNhDIvR4rbghzklNBZf535VW+wLpUAHCMy+ dghKIrpWWtJuqIdVDXVjuyyOe44d6Ej0v4N3nRzzs10pRyuTwA+RykhgJDMD db+M0huNBNJhAPJ/zX9ryNDAiEE08OHk8Bs31hkMo7kZkAZvdAeoVGLhYYyd 3N6EmHSTKs2tJGMXwcbuUWUAX6LzgMZkUDMTjTBAmwE3cIdcYgE4AMVwOWCp FKlxH4u7GqxEzNap5uMaC7vcqnp11+CUGTTmkcWW3WWVBBr6ZOOcMhgLw9BQ 2NwlxhLoDdcGpuUOM35LAAWmpN9R+9TaqTTTOhXN7CLT6WKRcZgaz6mI0Q7w 5P9npztQ10+x3+HMdOKuuynN7Gptt30ZvxmIQ0yiPYAOusJsMpyUzDB+pD7S V7LWLwRalMjYxOYJ1wFRo6ozjb/ZYTX34fKuo+qFhMu4xx5dt5mjMhvT722w /KYUODqcA6uSHMmr4Zt2RZ1pPPgdtGm9cXHH6K0JIj5ZDJwIjabHfbr7CLD7 vMo0WbwXeqvQybgWuRQjtIPGbYY6DcZocUusl626VrM+6UzD9KyWkRG6XBn4 i7yDUBQ0bwyCBr0AZqsh0HgmoGbleQ60p8MFPzMOEeYYCYtEbQRxgSSjU9OR A4enB85fKMno0R0RnunEmOGDaEYQG0Y2MsfcZuYPItWbSN/Re1lntAMJlXnF kZXCI6V96p3cN5w8e8bOOhoIpJSXqIR+PeKehqLXRK8rDOdarbzMG8u1NK6h T1TsdXA0RsAMIJJEGyKMVyLBTfGw4hOI9j5GXZx+PM+SC9j+WVC00tHGkBiC opgGR29jUKhlSQwar7bGJdc1iWsS++cMO+cCwHIEKotnBh3CDmYNGzLbzXA1 93BvpmhClHyHXguHRdDRbYBLSHkNkeMwv9PH23jviAr2V625Ihkc0gZE3nrr reNgA1SR9sJdqEUbN3Yi0OSmQZxoQCnsISYIBSICpDAF85BpCdiULPzG8jdl wssv3AlCy2IAtDqycSNDy6Ys0CJ7diACdBYHHtdAp9W69NlYz5W9RldXX3gf QwZ5DB+Bx5DRpFH70VnV6FlGeW5u1kRnxVKSP+CgXSJ09jVJLaKWd6qtC62R r/mkRfIrDVTpw8ytEhmeS2TRAAGolOXT0ppiFRlmynDrgvB+zXKeD5jMeLfy J8hFsFZxpZ310HPn3Kp5brp938Z056lav3nb0M39CWgd9NziGODNg1hh2hgD 0AnCRSO9NODeE1Osja0Dd3NhwKnFf93YQWOGTVZHcbNUIABqI5OhQv46KJmw hrmxjsgxPXA0htBknlCMHQkDDtbfSI8Ova5klAEv5t8ynnNY/Oq+Dp6qhM7G aOBi7lllfWHg2CEoMKxPm6Gr6pH6ANinKe8F8ZVYMSgo0oUXu/AqzLyh0Ygo MXpL8wwY4QgPb+Jovv3x3YWggosKJbJorLN5JOldhugsE4VfgNlz8zvNbFyw Ai9jiPBStF5URZGNYkKg2m1uYAAeBX6YzTpgYGcUH2+W0H1kHJ8/NR1uPPfY /Wc3dtpIj4WL+ciSQjYmlNCsQQfHYZBYTG5akZQr/NSvqVancAFxqu5oCnJJ yN+wWU4ogy5rXYTqO2/ULJazkA+Nzw0dgiK2gC1i7O5D9z7shfKmDCyjjlkA bMbyZV1FYlIwO++9917D7Oje6A0sNuwIZ6iJSnjouI4F56Nrb/CiC4CqUjmH NMn9gGIV6bO11eOKRbIMDXvB8GVhfWizGRtyFxsNkjUTMo0A7BHYJ8DXz62F TYNZsTZ6LA2nuOEYtozHAkaFCMBSdpceDVnftMm18FDu6bhtX3kDDtw+PTjm 6zHbJjGBP2JcuCKwyJmbrIqrV1flRb2DpjIB19QTwPNUEPgtmJVo0YIrGXHY WVazpukXoxWzF7SQV5aRAwrNUNEvYElMW5yaNtCCT7ryzMc1VkUPam4YItaJ t9RzIekhHJTVawi5qi4zMKQJPLrxa/ELw6mQ+cAvQqzGNt7O+lfp5UFqnvW1 dW2z00futqo5Voswb4MmnFS2CHO4syONMaSIOSTlYOifMQ3Uo3XeGN6hqTko y2kaRIZuWCfIIIvrm7lU3rL18GZu+Th79lysyM1ruGXACG8FAHPGXII140GY R/AYrvM9PnWjFlqIoMHcUoSR7j3dcziMFSzwH8P38IqwxFAOLSoDS2hG30Z+ Zw6kISoDhzrZbCzxCEPtHtUNM4PIQ+jY7iuyYNaeX3ZFzRtiDs4FEhskHlK3 IjSAcJOmI83OEx0gFR8JYgRhKgurx6TFsViL4FqWiwINY5PWkxa5uzQozb3c luygYagZ58OSVq4qyGnpUkVm4tVMB75+o6qe06+hMmFh4zaDx8KLLSXmzl9o lfcjslr3Lz55CSpBgJhFDSOEEbCydSbRyKIyrwM9T+HAd9wDU3BXJpOAMW3h XRrUq92AEPW4gdwyw/1bvuw9I+eQVkemjjXLVD1anVyRfKryIMbSRx3YARHm 1DoleXQujIRjoM2XA8UMhcPX/1fdLXOAiTQO7K3MjFuJfaQZSDitUhWo2MWg Lwu62yD5ZvM66EyJo0HhbeXVYtNv6vl0NPeSqdGanZsRJx5lzF8mtdP6YgHx W5NN5J66jGjGGExCAbhNqbh4YDLbUJHlSuCgDA7qwMcP2lW1keTcCysDvFZU pmV0Xi3W0BnNSiU0fHqaWph1JpHVZsEBzKzJBace2S+VbW9mHg1NqlG8q86w Kryw2KtUab4DHSjJFfUaKIJ5eFSCjhe6cc011/TTox5ad7POTA1T1qDirWXz dL1Sthlnp41XQ/Ym9KmtoHdlgQYLzG3ZXFeNFDcawjwDddCe8Kkgnk5KxJVn ZDFqVVcXNfPi4TyyT1gqajezpEis0xbGosI19J3BYmGrcBV+AyJxWBN2bEO7 6Iy6pz3taX34rCRCy7RPM6hBO6jXN0VDqAHeFPdSRqag0B/FCazKlDhVdBrO IF37eDtU6RH9UaXUELIN1WeUIdvsWlXuSYP3Np1QDLiZPjPqmMw62Wjgh8lV Q90bv0UecRrg9XUNSELJTQ8cPBUe7W5hIU76l/uOfC/6upXPMt/ADSqZouC+ GRqMuPFridbECRoYY/+P6XRYhXqn0sa3miiNIJ6VdcEjJoflu70XacY66CvS M4WJjB/IfRs0TA34OxExJCI+CPyxDLc9aydOuQ5IjQzBxmDcpsdAzK/C4WlE tI7D6B0zbxv6hXgQQEYs4bRWTvFAPZpOZJqpeU6e7kDsocgq45XKNthDbUBN b7lsgFb+K0EQR2INYMCeDWkKIDR9jW4ZH7pNpb9s3FDX4CoMghCU9zFprCzJ 7gIcwFfGxwCf7t5MipchbiWYbC7K0dDQUUeVqSs7Ps3V1PZ2myHMoUTCnO/R T+nrIzZ5KSOpkBbRT/ibqiRvhryQ/pjg+Rv4ptLefUi4IXglv4GnsHzYWHzn 2cMXl1Lypt2OkqfpS+N9aBm4HtAuIHWDRrhO4PXQgIF1TRp4oCXWmRY1wtoP vghUpa+NBnuyYHHNxxDi5WLp3wG8Bv+xmsZZ8IR6zcKtiQRE2qr4jNJYA5WQ os532SR0DqvDEjHRE1OhQr0DlVgwagc+j3VcTaMKt9pAYCYt0KrsoV8jrS0M SEPJa4SiIwlpKmEj/N2fDFPRq62vnWYxLxrIMbmHFYHzIb3V+6ErpKeS2nN2 aMyKR4LBfODASH1i9202LinNrjj9gjKMPxjlgtWgCIEepDtI4t1MhwX5aaqX iazcZVIo6p9hpEoBC49lUUsN99oK7YqgJOTBn1WKwjWOIPbAIK7VYpyL5Kaq mj0wYzEpwpZ74z7wRgEQcz3RKUzb8z665TWfBx16SJP9Q34ttxJv9vhGllGq HRV+bXVNMxdgEbfddpsYNOWShpNU3DELQpd10PBG2lpFyYrHrhezlEXoEGho BAgsHd1wSjimjk1zVJD8mAysVxOil5Rs7LY0IphIfbiTwhqLjz7QT5xkOCvd X8E4GE8WUUSTNErEtMH9mAuPk4RT6IzPWBl4fPrTnz64Hz4V05xQAnL3JSaT ZhANRAzn3e4B+WSOZbovwBA54AM0kJTb1wQXzKyCYAOEoAJdhf1pmfFeKWbj eSYAZizeA6y3lmA+LFQAz9duGdtvbDBQi/HEBtsxBcY9Em70SYUuP2eAJ9me QaPUxZgjIAirUpm0wgdsCB1Blstz8T/VuzYuAYc3d8mPxDKVBR6of0ZzGz0J k7V4bf9Ow45OSCdoc5jl6THle2UBktzIJjTkZ/CpwlnSWtjBWjPyDHNp5OrX bgi1Vc6Dq+5pPIlATxlLBEIoWixGGi3agTVrtjGDMQ9KBKKxrWYbM5GKZ9Gm S3vrLOQt3+jWfZu9v7mtCZQ0U8BAAwBSyU6ZW4s/3/aoTncmjvDZ4tUmUDBa 9XmWv8o9D6UQ8YsYBg76LN2AjicDNopiwXp4xhCttrVeUq4xNMQzNeShN1mb gXVYFmwP9cEaotA970bFcOOAkOUZuroYh36KVJCtzUBLaEJPYTTrBbXhuI76 m54OZauKpMINj8JqwDo85uMavNh0NaFFlMIt4Y+sazCx4vUDqlHLeUAwNoaO dzCpq9qgOpetNuYYY8z9pTSzbmkV2B4iDYXdR2lL0lTyabwO9SmTJzIZx3rA KNWojVAN6hdNnoiLAqpjnUyaqHhif+ao0HuxAJS/lddnyGYLo9C0zJkQZH8y 9twnbxJTyc9+TYZNgzXokEB3MIDrBiZaVSRRLFsXl1Yq6+AgUahhXIM+ltnk 89KXHBvXPNg5YQOtCBvhBa/wUPmb6hrr6cnuwjXOwBqQK2f14prZ2AlDA3K2 yhgUhsmuaNiDeqNr292AIWxK+8acMFrSsdOROWVuY8jVTullfMzVhh3R7Sxx DAWj9pSD+tJgyIuQGswPOpE4RxJpQuAAhZcDUzgNvM7NIIgCOgxGrBgmHdHk oTR+A/3QoCE5mLnKNFhP46vCMEPcpQkMKMFVLJ+qexhSTOdNlFoeUIAqDL8I QZ5TVDEgyNpXIt7s9diY9527sdH7EB/F3sc7dDvj4k7FoCTngCAiLXeIIz7b dPt1bmqgYbqHXYzFZIQUkW0kG8GmkqiXg2ZJK5obHK0x6GLBB5hpFUCP1wB9 AACEquPDJJlhhB7Irk2VO6YLa3eeP3f+AunCj++2CMRuAhA8EpsXCtPDznEn PA8lHnsMHdCoOgoCY0gvN9RrYSP6bwq2m4doVeWyf06lPJiHdvhYwYwE0Cph RZBG5vUAbmyvH+CI/UjjmgGHPO3Sw2Zw+ZnFDu1YMtb7LNQzBchj683oCypA BSYW2ZilGo+8H6v02XSl0MqUrXuvGZUFaebJ0DDeTaLIvbYwN327PcjINpCH LnJsmRrEtxapUgxahF1lao1qKLEK0I3K1ZTZHVB52fTA8aMdhUfvuocyrjvv /7lpKMK8HkPcnsPiIe1ky8w2rkVm08Bypd4snAOsvIVy0VQg6NylgWayFYy+ vIPUaJYH0NEw3oe/Yj38R1ebHuEal765WPdwoQ0M0qPaYz2uRaGUgTfUDWMo j65r4KpS6Ycb24o35KeJy9jFtNhdUc7UcS2SGgcuM1BHy1IYyJetUP3N4+gS WgreFPTQh2WJ0gmMCgWYWBmrAPIdbMHzfGnm18BmoaHUJWFFsB1LVEAb2x0N t5XPc3Y6uu/AdM+5C++uQAzAynk+vAWCgSUilNCrMhcH1sc9BHrcZmcxLOhT /wAsFF0aQaZ9Bq/Q1QVr1V6qPebKbFPXaEz3iCE1sDD0PP4ZXaZppq4wJG2h a6/J/PMa5F0OgzEzUd14ceSW5wu6u4IVKy60EPWKf1EOPVk8w7QI2I8VB2jl Qpy/vqUvvj4xWkZI9bUZEYA+lUe5vScXC7lrJnfNZP+csp7F4Zko0UZkDHiz +Ch1yE3TDDzUnb8xrDFOUSuYlmaMrmuPW2g8Mx3bf6CXY98ZjZujQ1rFLPEr X/nKXbhUOG2rTWvW7WpLuTF/d93Q1mhWSqSZw1Hb28ecOSbm2F3MENhWEuqe ceAtDT2oPXN0NQyU3mBYDeSijClZPbEydmcs5KUVrZ2ZCOQONPI7ZbJotLQ0 pbJEYwTXBhrdcJyHFPLO4mdjSKuJcZVGZQoZmow1AmnmDtBIIdPs1r1Hy+Ko WVs/42asVO71wVyohJR+DVGDq9GYHjq6+RBlPo9TNRk691W05RIQ6W6J3AJn TRccAggQYzkwekWwDh+/S7Ub/dl61DyTZxXG+jWYvTt5oCPrLKFH6/MuJ25m RJgLTSv/g1+bFWWr8jiuukGjRGCYEQMdHmEwBZ+D/aplPraupVYoUpF0JREH oj3kK98LQRn4tvseoWBjUoZCfNXCcUZLR41Ck1aFEtS8Ut80yBq6a182d0Ia tsv6p5I6oMT1ksk8fIcOwbogMyWE0gUuBMCzKyzx0WtJETgnEBspSN1kC25Q BBS8rLqUhuMJakCZ0d7iGvIF9vqWb/mW/Voo+l2elMIys9TNsQLCstJY5Y6o RMrj4r6L2LMAcnFRMaAiWyFbjMRWlIHD2Ic58OVBzuTiPq6uMfOeAut91jTM jUBgWGekXUUAFDFvJJUlqys0qDiaV2qDmWob1+aBoWBp57p2Vt7AEIPTMVPG ZuFa1vhHPqFcIrtUnLRKEuuKTMCKGlKZ0CNbpzZO77Dxhok5P5158L7p4EZT Fs9O80ytV7tWnUgXI92m++i8zJB0hIalj8c6wDB86QmpTlfzWeicMvxUb7Dz dEUiJEwUg+ybKiAWTbCk1V7Qhcm8PBVls3tCLXZA4542y+IEt5gJM2IxKoAM jFUJ5v6XWPT0xyl4J2LKhEmfF17+hYdzaVHPToKsmlSVGMVi5rw6YRrEqJtb M/HoRZDFuDFNxV48wW8qf7xfwxMJP0GCWxMV0xP5hX6oJAcQMEfvh1/DU2Dp kHE5Bi+AxXPTA3ffMe3fuO1CWMQ9g6TI+CMuHcSwQECiQQaZzy4fh3wkX0U7 SotOA8LG2m44CFSXISeDd+kih4M0FiAW9anSoL48VzVNRFoVTBIT9ExtcDtr No+IUJMUi+DTCPTNdQ1joBZ23MfzV4+w2O69piRtRcg3O9VmwnpZ5GIR6Ktj 01IPL2fWwKIea5qH5NFYWM9HEU8ZYCP4B7vP4B+YR89KmweSQ2AZK2ERWUyf Be91K+nFlPuHHhATKAcoCYxHeYu2C+nC/OiHAKXpCyxVZlxDhhcT69dgbG5m Y3nNEOM5PE8AKnEZU2MLgk41lFZBgLFqTFfu/SjXZjIiCz6na8/DnlOJK6/m AFMcIjJAh2vAcIn3QY6rB0oXz41r8+GAHqBBK4t2dz2sDo/qX5V3ZDh+TbCy eWCMALP8EveYNJwqDICBC0C67kwpL0v/bGWSqmux2B2jagPYmU45jEeZ19aJ ncIr61tc0ezQ2KwYg0Iu5+WlUBoKD9pfWgu4c6AY3E9uCEDEImrTcQgcjN7p MafBKo2BuGWHFo4Ut0UOeCFtDNnQwFKbBKEEYevx8xpEubqPP+9Ly7WClgu/ DNwevvSmdS0ygMd9sVln8Tw96kIO4WWhV1oFSuevrxj7gGzMptsmagPyyMBO /Q4HoVnXsGUVGviXda+ceWDqRlPUToUP8hqDXMUq74MNI3uhNKxeqJAVywNp m55/8ZDDHY6mD6ODXipJrH/nCYFG/NJwZX1gxtCFTmOlcWp1GiA0JtWkzHQj pFPFreS06suAHJ6JPGimpLRQYn6X53fPJcvci+K1CDYOiKAwlPdisQm65M+A HLJFN6L3gRPVN7kmeCkf0nivTtata5sLdkWrEID8PdNYsTdzr7Q26OqsZZXI 3A5VXrWxUq5+iicYL1wSzTNNRt2SpmERq8GPbul+Wp0x17t3McjDZgbemiws gbqY5g2mDxCnnwgYVFTTDxmz5y6b4pAyL9WLRJvuHVqmKUG6bkFjXpuOOJYp 7REajLfNhyurjypX2zMl8lqUPh/II01FJUxEVTJz/+vN6houdxElypKxec3o a743IpljSFnVhFbau8jDgrPSQcnG+umNXalXRGTmG4RlhM46UjSMBlMaPOoT bcUMqUxjMO5VFS/no3Tbsmxc3m3kCEINEFeh+B2At74Rn65BIOqG6mOpW7q3 VFsmw3QQB0SSm18hMomuztnrn03+qv6OkJx+ABqrb0iuztBzkXLm7JYbGjbm FJXVvH73I+Q1i3NNgTukS5HKwF3sXx+4C0E57nPfRT4vsoTGe1GKNE4cUlqg NNhJIy1xl1RbsZJFNE69LeuYpbzBilMt0QgIkIx0GBpKNguVRq/V6rT0dLqk 3qfsQ0422rho4LkRQS4FZ4PDwY30LJomj1wFUGWw9O9MbkBVVkZj/+lGT4P+ Ld7iLfq/FQUYwJP+aPhrzaKpRDBXyeClrWwdF5aw0uqJ8ua25TVdVwmUZEYC ipWwXoPASzBmXYcyH8fz3F2b740UiwG8zCuiVfEjgcdj1NwQM2hRAg8u4X7G FJl5IkJez7oOltXO4zBqq3vnMHpR4GqAjOgBIGbacI6m94UwMmApx/oOwNuz Bry5Wl1TEDZu6n1jGug3QLeUiGnbxmUy9REOxW/SK2kom4YYRXXIXdTwBzXS 5XzuWaguLFUj1MW+H1NBaGjDze7xa6uw2yrUpPTTkZ8AQaQUfx1Agv9WleMB OJQJy5Z6n6pvPs+k4wQc1pgne9nV3I1JK1+7gTVeZZiIhoDXOZmpmikV05+K q82Udi1QGguELoW9b0kz9CumoHTIfo2pwuiDgyDFBaj7Z2kADw7Eb6hBuAPi 1ouGyD5BEqxMJS+Lz/MvfkmQxNznli70YFhTdhjVQnYOS4QNph+9/J4DFmOn zp7OvtSjS/CNZbIqpK1C4X5tkUxb5RQJOPNvEiDhll6c1VXlDzceH6Ap9jEA F47chaguWTcAF86xMRJss6zLU5q8gEuQ0LKSCqqaZpymIC25lhyJZryBhu6E RK9CLf2a3BSAGRXW6Uof+L0nq2ecC62UdS39ayfAPWwNcCpl6KJ0DFuVTuB/ twOWNseSAJzMoVVm2gvby3jlQwZL1tXib1ECk2VmdguumWZlDBaXlgXgbiAf 60R/3MBEq92zfq3RY4OQI0qBZlz2y0AIpKTS531MoyXDRByM1QwVEQeJruYO QGaV67PYJ1VaxxhJ+slp5Y2bv947tkzYklh2wXTmkHL3qKiApXc0szdZWPNe UVxAZgyxdxcPQDryeA7Pg/OCfshcT7HWA4hFdvGe9r6L5nBa89h0aP9aExl6 QKljqZwmmIK1ncyAZaV1rhvBpcGGMK/hmG4fyExaZHWjFldHvXWe2nHS3p6F pQETwhuvE4y5yGKg5XfMMi8lzgeq9AnltShPNZAG9nUlizS9B4m0yHUcSAvV YSANtaj2L/WG2dx4p7xNO82WubhpKrACknyuVG7EiRSF7j+CH+a5gJnzoWpe 6OlshTByHpyGyo25wGxjmcNDG+IvXpiq99MpvDwegwkcDAJaIRJY4m9LTUGl KBl4Jna7cTSzIyKXzSiZiMpilCW7B9vL3OjyXg+0KbNtlY+VucslygeyzIPM a27unwJtHnU2Bdqwm8tbOdAWxLbYm1L6zkBb7sWiwWza70SbLjIbi6A+q0OV lvwG9mwuMgtnljm+HtMqUQYANlqNIXJVwcyj0jrzXckjIFDUSFQ/aLuiSuto yxpwZ06faf/fuQYceiZo0eGgBZunz2gVaxvmQSEWCi2qHYNVsZIZ54Sl6lGq YYa9TGiuyOBAIGA286L2RgwElotyDKvisqKjbl8gJsqeDGRFJvBAIN7K2oA/ 7ovRjudVYkagbXc6ngYCE0a0RSX8J3W1xJwRGuzXeCHoNCSWJJ08LM/ry2fJ FtLfhXIAQZh46OKhvvqudI+oKjFMFA7Ye7Oh1hE4qmievW86tP/gdMedR6YD h+6azo35WkciBhlmN0g080okqjboPRa1BnFpTAa6F0adVpVllWh6vOGXWk/w UhOmSgSLNm53ozVS/mUve9lA4lOe8pTR7bJ7BhKzSi+tjDxREnXyNpI/Vh75 wlFsKON/+Q17pODyLDX/vuY1G9fV/UjVVSdypMWOdwWDGl3O4dDQ9RoVCNiM 1tNqC6xx2gzwI58sgVmln/pnBIYsLoGb1XxNMsnEN2NQlqqjWQSBdyETSz/v 37mRyQIGhZN1gO6pscEijx/cmA4en/M7ThzeNx0+/uBOGIWIoH0NVouLZIKA HE88Q0wWGbTiMLqRG6fBnxsylYoaUDSTbWgQ3ah7vsRhxScHRkPAGrZeLLi5 5y544xNiBFVmdc9k5IAtMlQMelzr3WD0hhuYY7rS/r97/nve3zfuCytq4BVK t452bks2BGf3NSltddSieE0OSKvgvXhlLt30mp4WGJ2+19zZAU9RBGeiHtKQ N+d5Gpgy4tVrxSRHjDXtTPAKbRiTAROvB6+npyP79k93zxv9pvuP7Zs2jtyz E15l5gapcT+ib6cEFq9ie/UwWMwuT4yhpRHrSmQiP/xWvJZSLibN56eVS2Pg 1emisehs7N6JQTGUpqWJkfCHDdyUEVUPn6+Z6TElXuGjzNqM1Pn/W4dCb1xT 9wEoM6/yoMLt3rs8bHBzHI5hqx1i4hWLQmuFVnHD+esbFtFdcGSmGwq3Rkom uaeZnOfxIcwh9KVOQu27axYl4PQomrKCcuFuXtP5MdPheVWsaGe4nrtv2r+x n+S/3s6cODLtL7jOCfqPHi5oMEpUALmPPYTtqfms7OZeeH+EVsd2AgStm2Iy jimw0ieUekOl9G2HQzDahjcwmgtZCu1YZL3jttrUKC6Kcy+wgoSUt4lREnNM rBoYRd6vYrTUvSkwWr7c/pcYtbxPvtc09CkwKnpsZb2L0ehqbxVnkKdqTNNY G3kkWFE2e6A1LXrQ19O1RNFC8cxsAHx+8FULxtJMnAOj8KVMpzLJxkQ7MLzt 0elbPPXMdBSeOp9Z0Xjq/i2ees22PJXh65bSCZGJs/LFXmmQan4PXWOpKXr0 idMc9kWy1JSFqyw12W3ZWWO9s6YNDc9Do8BUEy1XlKqrbkLhGok7/6+w1HR+ X4ilCiTbCktNHZNWMm3++hELlpoifZWl+pZMgE+WqvevomD9mgScxW6og7ur HyNyZV+kZKmGr43Gl6fwAmg9N915AI11huusvZ7aSQOwnndqrJ4SK1pVFdVY M6nZtFv4gRpAaqypAWynsRbX3Q6uJZC2hWvtOdtRYy3rNJO83BKQXM6CNqkB VP7nJWusPN89T6mx6h/1vREsuViNNZ0jNBZhMN/HL0q2pCaWjifgaqZBhssS 3m6ez3WzxFumP8OWVjUANVaP00R7hBWVB/P1uQAOTXfedbS7AM6OadnevGLs xhhxSBFMzXMWdQEoAuCNgtWkuhw0tK4LwEGnezX3jpZxvJ15VYkC27oAzGZ0 tbNmKq0M5hT7qy6AMJAHWCPh5aJdAAYKBGhsZx/vQl0utA1HFTNaQxqOKgzs TMCuiK2OKmWvLXNOCt9jdtRHw9Ox0FOzWJF6qiey0aBbJFb6BgzgmyOUfgCY K+8yIbfAciFX6bm2Bmdj7vauodNsg7Ym7UF4Jh/RkRqq3aioaamodJXKQNIh gFYgOoUUkVVjQeWe7p+LyS38oShFtFVfae5SK6m2MEf05NOKWpJvlhBc+EpN RxSeVgfiryfUtQgSLIofr564HaeADAimP1YIVgrJ6OpC+XnSYn8dLX2leUpL xq8z6wZoGkJGHxPOrp7H6NJ0diSjhcewmuUw6wxZCAJzHHL0Cb6yo690p9iQ 3nbThtA1WWbIUM+8ARsL32T1Ck/fSFtnNTYERDKQn0pnpQRtFxuqUifbxoY8 AFa0VZbPGBbzFaezJOMTMXok8lpkAg60KQryviiNsIgNyQRFW7i8B9qqct7o amn0O8WGWISMDQlUJlT/U8axw6228Myb/Eg8WQuT2DPdwZlprpW5ZW4gxOiV gTIVMMfXGxt6fUFv92pK3elMq9Mbx1lAGfQ2BQRPsJ5Qo5s0T6NGlzT5LINl JSVEVB1a3r8qt81Gfuc59mVUDrStpvxUWFAkhJYzEBNZ44uK/xZ2Nw6UsWt5 IBp1xXIG2rbbHxNFBAbaVpN2ajuPaCMcnHvjc8NApsJmHlWK2kwSy71qus9T FAN63pcpqUgtdCPYzmrc2yNL8oAfjvm6aLRBKjBomCoaqL78LDWhr4mXm9Nj 3BrtE0afsWwGuJrTkyeqJVlWkVkRlQXoMJBe9KIXjWVizJnSU0zHr00PsBUH zaSKSv0bAEFC1K7dAbhMwRFwUQ9/AA6e4CZjn8cKCcJM6VmWdNrsPMNahLSa dAFnfpVNPwqN66boZHG1TBstP1r/zHq5W8NtZ2lFWF0hfe7mbLtbN9fL8vlg A4xgETXV6OIBpwOclCh8FgjB7bIW4ddQHd67zCIx3TnZIQO0lKuFODxYjBYu aMWNgEMZyaxFDhJzmczytK1kLa7mb9eOytyehNBIgEQNtgG42Ho2ABcHww7A RZGY8byMTQq4OE9sjCQTr2mVSJVZi1mD3d3BtNwQhulrkDZc7otEmBTdVvzL +TeJMLmYeVru8Mg4pyoInAGMlLl78YADwSDZ9CWV/gzVgwJYtsI+I6ZmQ+fB LWy4UGLol0nXE0LRUjV10I+AsxwYrcp9jWVSdNvKjvTr2hE1vq4EAoFkDfsE iG76BJIHufKXednWu837ovz0eF7urhJwUatyjMQQsq1k6Pz1dSMd2VbnpffP mdiPkadrNg2wzPqYkxzfqF836T2zRq39liVbYByUM5x/e0XnpAArfS9KPRhP e+ZOgFvfggKCQTKsF+I0wzLzPUQB8w6FpclMh9FCs95RbvUyx41mlo5Zh/ME Xz62VNPyENIV72z6D2nFDV3ZUBvHalvhM69ZeDGREuWUBqJiP/RAnucb5X2x MW48D6vO/VW+F5Zm+plDwrDK8sHFvyS/9LzV7suxBaVKUvbvshJh2m2R8bbg ApgTcIi020AuSM2ESLmFG5eJf1s62CR7dabK6Lpo4OnwtnCRmWNpPKOjMbXG SjLhSNacMcxUftOoTxGxVSvg8oVJkPyq3C878Yfqlgsbe0HHYm9XYSuy8QdQ IhV1AApPlhW2BB7YdzOd9+XGPp8XB/WO90ZJpwG83M1JIyrV5LPAy8nw3FSB l7OR9d50+9KyXFRulVVXSu+pRU65ps9L69+KHpbHy7L+dSiBgdwdgLe+zdgp t+Aq3Elz0uyttGKYmqwqyHhRviBIHY1pKZFQa9WOrAETidKj8gctdoEb9hjL xBy6z4xWmyFdWewgo75ei6rr41puUBIp4eweiMpqhSIPtXTVPayPNWvR5Ear 7d7rkFCNrOBNqwJCIi/rnFSgYiCPmVWHTRlTQcj+OXO1TbWhWcMxvahoMLDA TI9wM4X1MeXakb4+Al91KMBFIw+U0E8rcGRpBQuoGstI1q1XlvGq+SpL8z5r MdHSHLCMJk1PD00k0ypdaSwTupMlT2jlXndlM3PfaxFvGtdqp0v9Nf8/SmoP 5MEAzOGytALGboU7x310s/TagbywOMd7o+zGGBIEaNUYWmV0iTyr99Aq1jGQ J1JoOlZpWdmoto/2z7lpWXdj+u5YHWyKvMYqG6GC3+kkco9HbBgTpTsg783W kAe/BiUmHOZeTISgdWRAfCoQeKzRvquya79mbZm8z6QGGqLFuUrtTz4/UVkQ TbbjwepvY5XMNbPx2vZ6FzZq7o3F1rGY1yJFdAAPujaxX0Blsr/Aiy3h4z6u 1VaJ8bwoNDE8iVkth1ZHgs1fX7EoG0+DhegtqaziGsLjFjvGzHChaffRUNnd AqlMxzZRI6qzEPpn2AA2QnkORj1YWhVR7tya+/Go4PvOsAeaUx/HxdXlX6+d Jd+zdlamj1Xd3D4gIEAHdAspLXNHtZOTKmzuQeQ9UmCGGD0nj1ZMLANjpm6X cjBQaW0SWznZREIcBTMQCA+x1LisKjjxQBZ8x3wWa2exBMXpF9vyrJ2Qaa5u qhKBSJQ82Kf8/SIQjqqLnNFWDaX+d+WaDgQmx9QBTMvt71Yiz0XM8IW7iWnW GrAMWJ744aZRA2bG/xgKAChrdycE7lCDfx2E7rdIN49zgN2DHWLcOLLghrWe VQOxV7g/PTC5uSxrjOXmb6hPEVL7DgRh1mYsIhwgjPJ8vVU+kGBg9ZaHg8zn 260WhIkzawa4cErqrxOE+BL0/3lfntHje9crp85HyEJPW8fKbnb+JknTqjjA rgJmHVIwvs7S+ZXYV496dNdilDFpq4RtP/Iaco+kO/WypL77qSzSRlM+u73J zcNwLoznYos7csP1svvbl1LlWVn+1CpRtSOwsx2EIXaPBGUide6F1eZIAznz MNwoSPPYNFrqLxBGpFzlCRyF77G6HkS6teKbi0NBaXDIdk9ui7e+QvrnVrkc MqJAMkqp8jsPabSUaui343mBmNFVur66SRmSzPh/6eECMQFDy4LncDY2kAnE VK3hKhafTcepM5MOaVV1FCk5oLvLM+MYGx8Qo8+yoO6zUz7DxRrXXQPixpXT uZPHp0MHD/VXzf8dmg4dPT7N7HyUPd8Jnu59y5xaN9Hae3pLzyLPY8iDTE6L iiyd1/JMZsO9px6cS8vTKfNgnBJj6aGw7IeiwTWP83cX4ZFUvND7mjYtPJlL bRfhhJqwWojLMzpf97rXDXjW6d6L+5wRzh7zHSE1R1dRopenVWwuDAlanY0j PCNQ3Js172lAt/HGAc8owTNq5NNYWKCclQQz+UpXa+Zvq1FlcSR9MG4YsTSz FnX1Zx2e7cq5M9010v5r3eX/e6YHT9f+lLVzItbxmWkP6hWWipHNZxoVVMjq 6VLKQ5SzdI0nodB18WuiDg3WacpG1o6qI9lcRLgsAS9bVcjy69ywSmPi21uE Hk4Xox5ChU6uOnFgPaWeD84IUVndxgL94MVKg0KUEIXJVEIUkW85Jd+ruTAF RBm0xynS6pyG+eurFicz0eCMOnVyn1AR4fyzmzyEs39lIVsMflWrCCCOUqux fXaUWXHLVOZSm3hqzgI9huFWya2dDZu1Av3zBpRuaQ8dQnevUVaD4lo6tPIF zrbvdePnSAacVlV6d8R4eZzqUJ5CwLRrdpcnZaS4pL5e/vWxZHkaI60OEHCV odzlMQxzsa7Vw76CSwzUIMAqV2uxJVpl9DF1rU487EfTitaU2aLaI2dhnl5D 5CyLes31A6yzSmPW25ANFOexdY5YZyxQ0mWYha3yYMU4vCArWiyCzJanSVRb /Mp0mywLgcKHommASN98VT9ch+EF6/Nvf5aTERlWHCXTtER0B6gydxIazM6z nAAq0j8rKeuWTW0gz47OchlVelZQMmT9ap7H4gq6zcBWxzgKtkr6WwAw6+97 LU5UHaDE+VPO0IWzpw4vGqAEVKsnkQV7GwAMeTBMbVfaVgD363Ta0CpGPff6 8Yst3whN3a1gzfy4zHTJrJncAR1BySGQ87QA8eCu6NTMzHjWurd4DVihCNsF 8LhNjf7tj2J0lnTDYHBh2LjzLt1A7sDLE+/c8LN64p2ufaN4GbKG5vRbGahx rvPM1spKGoCEFrOqDJrEiIstK/tmXHc1dRT5vVoEjCUy/puH6Rg6fHRdQ5pV GYyF2omrDs7pVMNerNeZZnedQDmuZSVjdUhPPLcxxeZyVJLb8H0z1RZsjhj2 YjNwKkJIV6U0xMtUp0vS2ri6CGhu4sy4oH5z64NWNQVPJl1D5s5H1D5+BIPN EdDuxYZ2DObFa6xkIFzopjxHWu50GqjlhLMcP/a7fjlYrZEX5puqOEIQPGTy OvcNL+V8+uHqycnY46s7ipFGqwkxvMqIihBEgRLSngYKFJACaXDjvVlVF+Ea 5fsbfclKFcnHlx6iKzKxZ0ybyl9J2wFB3mu02mK9NDiAcGTaDDlnVo5Lkylc HmpX1ny/xljg+TwTmMBNdMtoOmHSAOdyC10CBG8eRX0tuW/ORvbLSJZx09yR VXv8F3YLLMDwO/OrKI2SzyPkTgPGFiKuhFWldAojkN4k8Vg+ln5ZJGlv71ZW i5aJ4/DL5IYyAxZh4vLcDWghjMzI8ZRkFI9ixOM+nuU1n4ddVdXMRn+B/TKV erO7nFWxaVU9ya+Rga42DQYw6tbd3EHibgRoU3EbZ2Z0fqIIzzO7FU+5ycI9 QRCauYP8y98sKiISR7p5/+YDm5NUp35dEgAhDoBnrMIKpanmGsSXh2cF7Dxy TnGaG7DyxKGskQl/tdBL1J3uKvOorzHntorZOqRxLCjTZzUvr+XZN15junQK Jm/0eBFBw/BNIBRcuFDkbzfVNQDO8jV2PuxBPH6Vg7sIw+hkTOeme0ZFWfS5 NzJ6wrMDi1PxE1E6giotqh71mKyu3SWjHl00EaW19nBuicuIs170NF7MMpcF 6WXOovqePVfe9nUl8UIwNHffwxnClzzsYd3fpujQLJyOdmp8WO9rWh+IZEnS Q4Jo8FpjVkyqySOlHuUSudWJhr3aRIFf4x3y3ABapaFk3p8HyApAdJjK7hgA ZNaNDQos6F9h+si6RgDMsIxABWyW1PF5dWJ4/TX/H7qTq9p9a0/bmMzGawRg af3ja5JRxGupvgOA+SisQwOsqFrKGKxeZiutmEjeHW6TPKVB1mJaVO2CXWyS c1dQHcpyaQDE+Yf+hSAHaKXv9ps0ffEMAZbc7m7GcoLSeqJpbsBINF3SsQPo HDjP8J4qBJSJN5neDhE31TU9b5nHD5dt9JlGhvvdvMYgC9IDMPgtdPQJLBRk JoBzZB9R1yB/7sWgEKgIJ4PdPg+kLI8y2d19BXXm+2L/nFWPHRLCLI88hmqb IJm/fkJn6goG/Mru0I4ktLF2AtLzo7wHGkx7BdmGAshvq0jfyBbPoiDq/aUs jT27WaipqiZfAgYfM/zj7rbCRtDtpBNbRmkAnKZ5DFfX65kZDWpxsQeoa0Pi NT/XeYjDecicGcqC6PLMbXUHGwp4I2RXNSvReQ0ZubpdHfXBLUciB36gGSvC mBpPBLixrsEeRbGIZVnhyG3Zx/O4VtUGxnuZ5uXRj8sqd/O1WxZQo+XBHTw3 leRU/XBSy98q4affn5/zlEL3rdHc9JBsiO8wtXMznhvK9J4wF7AQy5x49Opl F4/DJ4xTI7OyiC4hN8rDB+GHqQF4cFfZrv0auSkyLhYepxzk7r4m8KbbCR1T V5Zeeuk43TPw22Z8CUMg6OnytMo8cJl5q8druszAo5y+4xpTphksbBgJrsHG jQcMcVpVuszGw+sawT7LdXofZpfJiz4PbrNakQbusizbvqnPegypXIh+DXLS Mq4EhPnrh2Q6RhfUZocwbxqVrIOfAf3W7hfCAw/r11kL1ifd3Mg9/s7sWHdw ig3Ty/SjeNLoJYDwUV3ggnwrpsIMPSyJh8N8MwJiuCE1iXJ6LZwnueVNb0P6 9xeC96pOnO7YhNeLZXDpuGmLgp+7O+ms2iZItNXtH9C0p5cICJZFKSxwWB7V QAEGcORVb1zXYNWQVuOzG5fXNZR4EyF9Hh7N1XO90deWmbqb/fkWN6Ih9hqo /TrjcDSG149imrpSleF1BJfaNRSqwAYw+m9Rwoy/YBSaHVD6Qge1HBJsACyP /V49dxthZxIPnBWBmPtp13H4xLVoMsPL2IZmEOYAhroGMfdJTB47HnlX43BM cKfiWAca9c9wcw9ZRPtV4CJ8dQ6yih7/xHgamlwFhuvP3ZMQmzzRt9MpU4eD uuwoaKtHIUJAwiOLIcglhKCH6jaxt/G/6xoSAUJtizkgiPsKWBJi0XvNhK2a 5SamNe6/raXkkNCATA2hAYyxJ+yJmbfWu1hhw/43TErFiMfIK5DcWpCZiWf+ LJ6/rCIHnnm2iiLvRAKDd/OE8BIwdN6JkqXiD1PGGQTz2HmTyjoeTQY3bcrj x3TCmApYp1T234BBsAhA1BrM6wUVJpBFTn6PDSpAUHZ1KaQQRtkzg7PO5HN1 YLWZ5VD49Gv0k9TsMV2bNSH2YMisd8Z5YfqrJ84y+UC7SaiBMyYFrxy1UW6o a3TaMtzeh1aizPV5LNyqu4YJ9Yh58YgWvnpieGRX9AYYRnr6nq4aeIpoJfgt 8rkNhKbghv/pmSDkLhf2SCJ4mU5CNcM63Lxfg6fCZ+GvYkL86uJxExY8Euwj YRoud9on+uQ1QGqqmxZoCpjx+/RkonMhFtUIsajcbaCXUGYLDwFoRo8AmifM cq/oggcYzM8SUmFk9r9r14TLlfRN43OU18SRbk0FV50lLH/lQAcBAPeCiiLY TvVioA30wgooGvWwunbjjTd23wEo9z56C5dsaswiBXdVUKPslgNr9A/2tZqP E+fv5bLLJXPrGR4Co/raJ4aoUM/NWswQoUdD0m3N3gh7dt8b96IGGr5TpVRq 83vrIcPV0OAMD5phWWDaAZSPXwMlAgnpb30iSwPogklNwT6mhsjYMeUzjmKt iFR40mxOzQVjwPhT2bvDnIZj6xOD4Wz5zja7VFATopWP2lUPH+5i1TWTd8c1 TwUVlQwHxsGG8SvqGmYkU9fopirCzc4ZvGCcSn9lXWP69CLmVj+msCkq470I Jijnta997Ya5DtCvux5p5RJ3xCJH2YwcGYbd4zvO9S+woMZY5RKmyqnGC1y+ z0S9KNU8DneKU4BHhplcCHsIsad4Z2QGEWClHnHRuNBOrHK9hgNIATGwRVBt BS7Ypk4ZbDp0AuQvbBQZbf2j2u/fdUjZoknudFSKzcJQyBz1zdq8JhCRsHLH OjRnI7+TMTBXbc4W7rtiHItch9UtBhCKJyCLEFQh5h9rOg/7UfsUmai/SBaq gl1TuEMzZCioXW2KvJVl55Ht0eORzEjN2ng1NL5aptAT7Nq/gwZXfQkFBZPH VqPwPFIDJ/eb5q4BRq03JEvJIq9klWbrxl40T0pfbGXH849v153UeDNlR/zO ql2gv1xI6wi1mOY9xw50lPrfwbtO1nw9ZA29hjHN4QSZ8PSCR7+neHu5EG5c aCNqwFhs7q/xnFMa/JXJsS4zpAyfduD8DXUokzKrHitxpJluLlgsrbKaDVFD OxnKAUEwAPzbogX6cY+L1xiBedqyQXrL49t0F7u8rEsw6Bm/RFON3qgus2qg ABO4DULmCukZDBe/yACTGn07snIZN5zPtV8qp5vpce+tcujFLxxPo1MPhlUf U69KXQqGo/jOCAX6mHFIw7TpYdZgTcNDX5xxRDktS23GuVpLcdyd8Mv/z053 NDo/fgoXzJnpxF13t/9PjnUVwnJ8IzwY1rpeEULQDtOXxyvA+ZU0jBc1gmtA FPaBPHaeAIjRfWi/yvt2gBgchIlb5a8CGv0zBsCWmrCZW+R7w1iMfdZoT6vn 7mGnlqgd13AjauaIJKbcIKOIg4FbHOzK+gaKQ05B3aC0KcTFoC8bxZJY9qbd vWE9BhdHxT3GoyF4dF8s+swM9rgOuwonXMZINzsiPJOOBtjHcep7uhFm7jIM b8uqmrdmm1vODDiZGSdOCxaaY+E9y45/c0MQYGRBoUuBocSFIOAo5VcZeVco XVrhpVOuYfn17sg5NR05cHh64PyOO3JqH0jXNOmlyX40NXfghBad5OmI0qdm wl864mMTa5ZTWvhRU1HDBTh8U7MuoQ2CYG7sdyFsU5rS1WYOZ1yoZPEip9c6 3MIJ+8HkIWGHB0a/6gzPh4wcKuDI96iFMANGC3SRJxA0Oj+MgdljvUleuqqe i3BZPZUaVdDIZ+obUpl9B1PIsyYzxzWGvEzDfHKHvfn6CH/knmEQ7AwzeA0P 6oKGAyj48oxXFAE3RXl8c4YCoAfowwNWEQge9JrxKdGE3AZN2j88C1osXeDi tvVsxrae1k4fb127A/bdfz7vprh5qBB5LI5OUR15LDMocqpo8HG6hxA3jUTn Cs+yqHZum2C4phCie6maoKFqKUBkw0DZ092h+sMIam2dQj9HOkWqugdKbZZ/ RNGFv5JRKXKYZc84zxp5q1VZmPVKIpsrhzVWwgriJ0JUMSxcL9AxFjE2Bfy8 /c6wC2IERYrX+1jTpVGoJTAAZ4adw8MluCy6vNl18yzSgORvRGAeSexqGwti HasqhTh2K7CQ0oC6Ic38Enir+7wAgaEoPZQp3E3eQTp6koBH/Llh0PxRz4Ip pWWHRPc97bfuaT033b5vY7rzlM7KfWscWnOVf1EBUQaYB3RoVgoOmyE2T9Pm O+uUC/70WKNkwA81l2iM0TlmzCZwQQiaw0YPnV+WrQHeVUSo555IHt2m04VH bVkFAyRW0nZcQ820JIc4JqhbodcRrRer/OXuC2gHbONK8D5UL924q6U7UDi8 hl5UWb4DmIxcbcBZjCPWwWwWK4VsJdOkfq7pLjezlUVlIgUjrzHpLP0OZsYC MDe4qiVClrgF8Dm6kDBnvrOAvR5VNNNGyhs7IvN46+x9LOz5U9PhhsRj958d c7NdErxePCQb/gKT0JGEaD8g0RxYJUyaB6i3IJCBuQEVXmWMhfXBxqpS3v0a osCBWtlNyw5zQL0CXbXpNmMdwV76bdFbmlov5CCo1UMzgY0GltdgHghZYCOP Y52El7yQLvG89oyxDwMhDkttjGtAEywwtIaP8Tzgrx84fSdMJV4zr7Hm6Mzw YBklfo4saQgbF74I2Xb/UHRZIsME5b7vnwlZqeqxZOY41b6B/hnmAJOg/0pO d/ypXNBnM0l5Dn3TAuIeHahIYMZcnvod4TmdPjHdtq+cDgdunx4Mcl6H55NG +Si3SaMAoaDF5obhyAa60GsdT9S/83QeBIK0m5sFUJ2tDZFVNtJ3Dnuz6AGK kRvRnTehi0He5nSIezQQXXU0vaZkjrj+kAL2EEXTnAfWxwqlXuNd3EdgX9xB Ulxraz02aaCMyna9j/6W0jjwiVBdZdnrMv3qPt/yP5qVkfQauHtTF27lmwjP rOtG19x/kSUC0T2tjZI1ZDzfMpcaLQbOhPajl1NfkA64TI1Du4L74MAAvlVF +AL7es83dn5uMVXbpYsyFkgJexK2XJsjFnqJidb2y0g0/6bvi2tMa8puRJLb BtBHdCwAJ3V5HP9yQ0hknDt3ZZ8uU9TU6DQh3CrUVs6FR8is1qqk9244S50W Rpf1CxBMOn9zV5AM8aa6BsEh1HKbr7tpYIg+D96v5ST4WXWAuNWXza4tGZem Yan1E9KmzkPL1hxf4y11sqCbxv9H3mWmX0A7OtBis1QHG86GlPWRX921JviO ick0+VJtFxwZ9XGEeVf24Dnw0cZj1uX6hRL13K9sqDR2cnXnO5oyFjSur1RM GAwqHqhSc2a9gUwm/TF4vwfpbuADmRZ+4xkmmAktoYYZ1ZiPS8br0zOLHtR+ LroYhUVevMYUr26jRCSs+kdhR6hY7fGDlvHfPO5xj4MfjMxleA4zCeK8jyWs amiLfKtlpcBZe60zgcc1vL2w9K2tlXON68xv4PmRuYzWZzop3FKlSY1STqpi RYNIWFy6APpgIXlEoL5EbVueAQtBmqd5oAKnGcEzUPwyhAt3byi/pMxl94Kl lK09EsMkM5wKRfguCBsTMI/FraKz/bOmUI4BICsOUFjdG8NScFaMxjlS2+2B 9C839ALgtFQROSN/aCu8mZ4ad4m3IS18qZ5tLHLgmVxDoRNh+MSYNozqh8d9 KqHeh++NZSci5fOACtOQ6TC4PJblDvf25U9BbWHIrUDdXEbMWgfFKxYbwWSQ WZMrNzGk3g6vcCNs1BIe1ZnhL1qcSEaUMGCgBW7Q1o3ELDl9wEfJ8lZ6yCXk jO5b1MP3GCGUYEt8oGmkMmypCGSY9RCZM5QaIGF1l9xFaWFMnm34BLLjdwak 0T4kceSeqSvgivvqbPV+z6heNCfMm/nkNdj30pyd/TGrNV8QmZaCFjpMey3p gBgcoc4hGEmjwBMoZiYV02a2gc/D3NL0973o2bqrpC6cq8nnsTEaQ/VrUO65 LDQ0j0gahX/o7kGAmAeNVNa6QeiYQEqPFEzusMRC0cWT9SHdqIV2jQBjITVu TVbVAIYvAYDaIXLRSaPyZPmfTnUFsbvlzXOjWVrCeBgNQmJmcY0ZM8a60v1j ghcty7JBlNbKxypzdyYEO07cm6WUZYFp6AtWam9fM4pM/OWJbSQuO6oOnCA3 9mLxa34LGfOR25MHtJgE4NYeuXF93c2CMbAKEHor4zXnNE+3cfulr6Z3qxUY MDtgBluW9WaXNxUW6A3ibK+VPxJe12+BKNvagP+4ThDm8EGAhu6yDlwW3dLh w0y5fPwOPhfnlHXIAm0mG4I1sgRfYRGsjQHM5ZEsZeNnF5+n5y4eNDCYM/gD 33Sch6PZajGbgFy7eRZheOQ3zF5TBoUv48PQVSbRWgmBpfWQ4NiHPcL6uiJZ mzjKlEdkzTNsgMYpXHVE5erODlj7aoEDRmbFIlEEz4Myt/LvLuuaBc+EM7QR XleXSbKAqHAVNM4tNqFpFrEJneExwhCydqFvZ6zLyObeztcyfxnBwRyjDBgG gkVazVIBY1YOLNOg3aoFjn5pjW8EsM9gZIA61zNL6XEvPCTXU6uGMbGu8GX1 tBp7p0/AK9+sLVA7YPOpa9jECkAZgjjg1QCducGkhRdG3achiFlh8xCspp+W l85McGVeAaur4EciiUF4rjzb1EANGO7RAmSsWG1+x/PG+a7z2YP8lDwSryG6 Vp2PdL/ssAERhoptjBNIKPHq0hsGQBEZ2FosQXuOuVGwCnw8rEgjEXOjuMxT STv1qfJtwvG+HQ0IwZhJ9xA49zUmOpgnk+ZuGxrcrWlQ89dvstjcsDp3UJ9F LtOhDHaRgbwud42BB10heh8ZTiXqdL4EDck/WJO5MDPZjFd2OqyAXH+Gecru Xqrw6A4YXU9/giPAiJClLKg0kmU3yqge6U9Mj1v30FXQS9I+4pm6gNxFrA3I GHk2dIpA0O5TwcwdH/DMSH8CW3mGXLFzOQ+r4Kq4GrwlpSkcpJKrxjU0FF0w 8lCz7TG6TX/CdICv0o2mncxx8z0duTARXgXjIpvEHCgIv/ZMDpzyOj1S6RZd rfEF0S/3a86ajTuHaCxcRHv+T233zmvbdZ53/ITixZZBGZbgKJQiKXbBQInE 2AaiwAGCgJ/AX4C1a7Vq2QTpxCpuBFeuXAkqXLFhERgBDAiCADUs1AQCXLBw w4LFzviNNf5zv3tvboKnyAIOztpzrTXnuDzv/TKmTgQ/+EN8dbrUCOV4DDzG Ez0y3XOmkFTPMg8vz8Nur8qDF5akm2Sf1wFk8uVjGNYF/DlB/7Slv8EZdM4B W1TUhVeHq8n6843Mk9mP8HlwUEZNVHxvEmPG+XQyAn854kN1fMUK3WyPfSvz in+a+1rva9vIj5nzZP3X+s1Wfx3G1O6D/uP2+3yUSHKR/4UmrNrsxRNv2SBv XN4mrMiKWDm/vddo39jkSCR6LkQaPrTiiiU90WYpGGz2niftDUlP7dhOJOK7 P5jMg54yCZRJ5ch07zIdS7HOLXTaIl82PFGY6YTF1ZBmNqGZMTTaOvhVf+/+ jM26LiBuiDF/v5sNu2oGe5pFbMIH42zwkUn1DHqf5jKdwt4ttmPdNcqpeUw1 d1NcpIJMlxhkI73W1NyYXqkI08OOpccSwDJzEm6uos5b8+tMAHrnYq2XRocQ Znto0HnsQsIFHnadvh0iaxpr6hdfNZxqOYIUbd1vwefGVN/cW0PjIu3AzXKT HgheIo8tRaSmw1IE0RKZqCGee2uxe7tmzCTWmvY1FirI41RDAZkagUW9li9X ceuz4BOKLU/eIC9MuFiQ3Kv7pfzTIgL7swwWL5TAUCliTChOxcLjUfFo9HwZ OrPNAwoiXIsldT5YnbhPTtYzDtCvP0FtoVLjyXhyH2gVLqQFnjbq+/uHE73i wxffunyvbgOQOdLS48eBN1vvSAUD7iIcbJGMTEDHqDrOgY5xdXN5fXNqPrZe RjzOy/s8IQtDJyT/IL0jyzwWR4rC1NqkK8TjXkiScll6B40bRjVp6XuEzuMW JTnX1UN1TQCv3jdNyUrN9A6YXeSdwMed5qFFFrOq2plPZ7GLG5ZMVh567Qrg uBYbo0h2T9u+25RkKnIlUYpvsiPr+Oo5PhPboKv4jo33XouNZwOUn336L3cn 9+gLApTf38SGWAxGYLH24Qn9klNJ48qZJ7oq1MJSA24xfi/0bwL1PMHHig0n 4c/e7ffcHHU9tdBrca79g5F5OjVl8PLK3DLdrC/rqGvo9qHed0uvYBk5y7el EWCpzC6o2e/vfOc7O45T2JwUtMdCcH2P5PdcmsTs1p5VNmNAR4m8rlm2x+01 LdnsI+Le9YlFkfe1YG/vueVx5kSpC+9MH8LrirzhMfUdyfiFxxgHYwMNkIYZ xNVklCc2i0+M3fbWUfWUCD2b1vGrv1FL8t7d//zg/bsP/v6f7j4bZPx58XPO UM6HzlTp3LnTJXh/OedDHR1oBY2vHl45Ruw9TFSPN5ufiRRnEc28cHOr7Zzf jvNWbFVpC/6fbeewjo5uT/oTLfNY22qTSfVZS1zvj+BkuEn6YGfY3/3ud7fm 8L1zjai0jDI9+h5lTIrEgsR1P2N97BsFi8cHPY4Os/tleS5F550SN6+P7VIJ M6Nqav892oFvlKZH2eEeQQBg+jWstWsza7PuYNPsr4ub5xJhSfDOp7LjTC5T Pm3vnk86+uzTu/I1P/rJX9397ceffgE6/8Ol78q0QG3cS3HuI72vznH03nTO RDY9M9PRlpP+5pJWAm2ZkCRIIt86Z33Ne3SAS0k3mOV1IOytiXu9FL0wgMXP A6yVfhxXB6jHcXW6VieMzgxLxABks+/I8W5fcXVyy+yElfoex2KnAc6Q1PGc X2MB5FNy/SAtrp7cTRNaJmghbPHGNg0YKgdBa7FJtwcYksprJmF7z0/TwRzA NVraXk0dXO/zfNmTVZWxx3iwmal7M33/JKo+TY9/44tKQK4V+fAn79y9/9En D1buueZNdpJ9FN4I4vpQkIhYjN0ps5iWQypaXdjud6aS/53bikQ4CYj72qm6 2e8ZBamg2ZO5q9BnWUu+d8U8X99gqFja63QZaYaUWZzgKgQ7ZooRuhZOjQRl rhldWCNTfQ+uwiSqMjKFkd86yMSsmUjnXOO+SuzB1AzGY3SPDXv8tfroPcRX 7ivuvnotV+zS/6cI5FrCazne3juUTLIUKfhHZdrvT7HYfj+d9WyNuDT57dYT zHgARn/SFK8mCR0wimiy/k+fnwowngQ/X3xxTcc//+of7t5/7931xXfufv7b z25L9TRUanT1XsrjjPKTKWnFs1rlnGW+OVW2PGzSpKb8CM/9pjDIKVHf748B vN+L7iTH8PVlHbaHFruqvbzK1U4jHSBbjw+fAhinbuzCLJ/ZsQsu4OBf+T1n Np19us8eeXXj2N5TvxcT++a5XAd3snyNJtjy/xgQH9Us1zcJjtqenlXDuJqU VVl/BEo+lTDsRXYt9LxytpQoKh+2KFZrY3uKts4kz9G1YGs/ef1S1OZ5ZR4P 1Bn9huiZfjPL1BLLVflU6Fe0kfL4y1/+8okraiZ+fvwP79+9+5MP54EuP7gO O60LYMZSLdpok1VudNJKobBZAc24havCdfA+8+9o6C0k9KS9wvFxvO//q043 JmOLx542clPDmz14rOFicu20LTpS4UF9mtGynyZKoGlh8HIT8ZvUkuS2fK9t 4cptxWMIIfBb/NR22m7Ccm1H8dNyuqgW3Ro5PD6f1QI8PIPmjT2zckG8Kq2h bxc/ZabPU0RG1elmgbHWkZW9/575E0ixYgSmJYt4xmJipV41Spr1zqdN69VC d1Z4dGxaSQM5aU8n2idITZn9zc///u7jrc3+9u6vF391BNFtrZ7GVnloWP91 rq3JFWcpsXHOSLvaK2OAs4qgw+RnnTPlAuMuPmXt/V1y6Yzve3Zut/z/88CN kiVKE5m95q/KsZs2WOOIroHE8dNe1zz6OGEfmF1Etrjs5Ifgsejt1DS/thk8 OrbNpstj8IfnM0PHdIyBPOIRCMYoBHde9HrBGARsMw/DjEuY4vQSGAeKuYUN 77awoSfNMKrfnQKB/TcZdx3I+P15htdGe+1CWm1spigrHmql01rtdsrDSVK9 DGp8tjTfTC7Djb/OZjqFBMplrj8uA0OdzLNQVgzy40UG7yoGee/vtr57W6+n 5ft5UuvQkWNqnu8i5dPa50alAxeeNRia1byG36YxlSpRjp77pr5blEKF5e7R jirSgZcl3S+ZaQGmO+D0VY57UbamIYOVgwZmHFxm3+8ZAgvyQdn6U42WHDwB 1de3qSzNEuMmX1HnGv7vn4/9hPYkmSJEr0eXNoCVWwxR7NfGNUrWoufrybML +VRzOhyxxUBos+EGLWCcx4XVpPGWXJ+pRg4Ww5opL8CXeQcPVembbOf0kGTY KyDmsQV2LIkvorRhtIUoSC/ab7n0lAmEMnutHq/tU0BPLeKTT/5l7NCfPwFy SurptHxRF0qlz9HrrBG3Hzsyvlr3XHy8nB0mC+V4xpcBupxJW9za4wzJstNP Yr8nb0p0RfWz/BywF4e59pL8mO1xOG06aPTFrVXU42CRKYDOLHCylkTL+vkF MTT27W9/2+9PbPWP9h4wqe0f5c9SmDrdy/IYehU4iMqeE+WdNkpelGWACdqK xccvFxq99nGDfOIaP78/o/iWSYOf31uhb2/l07w6Jdt3pm1R6pHnetm2RChe guAzAsEhfgHLKc1IKRFJLtlqKkw6pa22FqBzGjrdsk/e3Kpn2SfVr6Vh1BO4 bkTnwMWnQYdbxOtHTyBconJpgOYY/5SfiA0UCUlx950aQ5pDJ+ygO2zEvfBx agXM5H/MV+GFPovWkPVFWvg2/Db/GA21Ex4yuGskkt68Jh0/JkZaZq9sPIUj wQLFdDhI12h72IeSgGBsS9kkVIvK8g0LhWK6tgtcqRO0XTA2lcWq3hzUgZiV nYZUXMuKTccuFGEYCznXNQR6vIYP8mHKVvUShlkcLgZs8ee5x4itzF+GTvnI CVqE2mZZVLPz3qpRVnKU8puVd00ftqmIKz6VtYf5I4zZDM5npFgMHUEY49Fb n0Pq54fCirV19EUZu9Qm1leKrBf/JCYJDjWGKJMXhRZrjoHWV55WMVWuvL0+ H5UY+7ekUEzZeO7P6rwlwRRT9DoHHsWIDO1hWOnWKv9x97USjOUOJa/JBHtL sb2h9dW9p0Ii1nYx6KJhfCL4jQB1COQyxd/0uuqW+M/DOpRbTR/exjvcNSKN cnivv//51tNn/R4lpkh/J+yk806vGChknli9xCO5nd5MJhQxq2Jy8izxBMQX 5EA4+xzEQD6XMLjHQO0GfmQpEfhLwPCHV6V2AY3aPQof5lC16BbrNCi4mpMZ dBq6QaeUjvNUr8F52dMqMEZzhi0ka7mBDRQ+BFMCruQhY9CxvQ2cRUhxTc/I qetV+gPMxY6QCMFAmAYa7Khq5HBosW2AzVxk9L3zVXtqz9ZQH9SMUntc65aG exo7vnheF7l1Hi4+5QV/V9/iW9hrFqYI9Baa6WDpiBijiIiJvJJZaFIxWwzH I4oeEIHUkjwG5I5dYrcVd7fKZHdRhlTV6aqvZfBplfBSJaM1qcpxXFqaFzMF o6yacIYB7aI0NBIh6z6GWhNAKJqRF7KtA5+RZD6/Uw+035dSls8QdVy5Gzfj YYIMNa+dD5d06cdHeJhhqQGBwdMeV0zZFb/96U9/eunvxILRrBGeI0ZevTyO lL1f//rX4RBJ2hjqVjjEr/C1BfvrMTV4UCbwmJzu+eFfbACkkntZ5IBkYYnV yBPp5jcsZR07qMGEZ3YKivcd5gY8M5W1vl2xFHPqOL3RaWvvAlUfQbDDS/We JUyHOF4CjO/s+aDlKfqrnavJMTZJzzM3z/BMvBtxZJ/j3+yEHMxlptagwf0r G3KfnCDe+20S3EswqvzIopAFbwD38r3cTBs0c5+YcuOKFeu3dTSeX/ziFxck ihwyJ2ahlCVaEuJy/BM53M7E3ZISb53LWIadwfCH45/SWy/gKfMf9/ZnbDxs 4PO1TbFTRfRk1kOdLSyeRZoLcbUbeHuvdyojRpg5CSf5xjHCZDWxVWwb84wn l0VF+0q3Z6AwldkNMPFYTbQalQkmUkW+Fml/6ZI9XKXGtpgZGsb8ynYusyS8 W5bOz/L8Imz4gTnPaN1Jv9vvMf4MDaAoe9rvWz/Mt5bmPh+n0JHWqUFwBQRr p4IeipxmDOUaNU1LVoAcFcwqZlyH2JseUjP1vbVrl4/fivOY4WacyO7xxwOq XE5E0/pNzlE6D7mO0c1T7lhN09tl4wxhDtUGwOAsrbe5s36PfXBliv1g87V5 Mh11JPucUZZ+icaLqcy6Z7dvBcsSPJlZ+5rpPI6R2xSZWIQ4MZNL3f/hE1kS hp5jfw8vfSYv+mlHc3i0wnUro5TASN3WZxmr71piNEX/qesgn5rflGhnaen0 p+f2vkY1TJ2cWWfT92Yca6uumnK/LZ/0uO2v7XocpsEDFl226/SXxwfi2NEO A+t7yPC0m7hQxBizTPenjNzc9MQXgJqmmPQfnc+Ql+0lRiEI0kKpqdGJJgHM 2pbGYQn9fiHzXPvL7VVLow52flcko57+XBReVaVm2jBGq4zE5mIbxNJpNnGJ 9TpAtJ2zkHomACb2WRttW+6mqjL5hLGrKqjAtUplrJkMOw17nqs+ee0JThef W1/WSvzt/SD6O73mtGbY3ymMRsE16HEi3OapnCGU23QPgyhAXA5KvjWLUegI Ty4Ykf8YN6p2glwaZ+ac1rX7o9rSXV3ubmJ8lkkZUa6eoOopqGjGS7MW1xJf LiFRAit1H216fW+l7bL0toHiuXjzV8/jjQhiCQ5oIixQyqxWTbPA9Nb3Z2zL 6H/2s59dYEZQj/2yM1b2nKeITrVkbhYsOqxiLU9xahO6y3HBsVJ0lThMPE6n ykxWwZqF37Ct0omKa2E32SBggl0VKrd/WGymPTo5KQ3bXln3fA67T93yGAoJ 1snACBeW4KoHpxvP3hed/EtXjdgypLiwaj9KYuaWJycyHqfsJ0uyAeA1v+fo PbL/xsDWQj5IoJ69PyBunByBFDsRYnqSkJPspplvjzct3nCBly2K5y3RdVzp X9/Iw8otBzqyTEBMPbOvxIxlKtpMpCBF6jueD1brvtMzb5XWqlxWvuGeQvJr eLYbMcjxmjRoyAs659qfbM+875UZgZiYpyX9xSVq74ZNlo3pNxPWEJFGMbUG O1WNIZbtmbxWpyLpxa244xsPOn50vjTtocolFEgriRuWi93Z0WXSXSbGl3HP 96P58EwibAD/rxXL/A7VxGcGWIgUdngY0VbhDSSS3CH7EvGnkcd+P8PYudxj y8yDWDo5dw7rvMZ+PMvxYgyunnBRA17MExk2Zq5p10zX9+5LnF7d+wprhrz2 +lYN9QcbgnxkthQ6sWaCh8FLacO5iID7VtCvbjhRfmzroogIhj2NiclcnVm0 iI023TU6XA0nZ9w4Bd8LL756mv1w78Psl817kZePCprfJUc0MKcv8AjHsw0H O6uS316k6hk6PjzNGiC1OqmB7RE+EIAtPiFG5cOKDjt9ORfpYdp7HVBCHXDp 1gQKAJ0GOdep6aWyeCVIcIpszdmro/pIC1BsrqMHCmsAYzE8NmhxJBR+it72 3wTQYoCX4W8/62joRcehtE1uhbef1KAH2c/ky4cffnjJa9+Dl/tTTV7d47NJ NmjJlj8ZX0VbXE7z0HoMEPDnUcwPTxm9b7N733Xia5tuLWP6qaXG/8us9jfm dQ6731ba1RH7W/M83i0GyhykTpaaYsg5nmd3JFqLnaslphc1HkF2dIzVXzv/ ym5q8NV9m7IFfVQ8vFJAP/+8spU0/7tP//Hur979YCSefH65SiVkEE6ZKt+p 3HJUVm81DICoKJOG0DZFLB7AqooiQUtCsAxp78aejTuO7txjKEHQcxb1lzNE CSp+HJ6TbjHftartO7ZTLLNrRvL4TDE84ujFF45sKrKQAvX6gaYRwhHZsXbh O+eyEVD3UPVilqHTQG3v7JbLWLX990kCb+xJzSwZyCMSWWQxTFrGrDqVLLIe mbMbl+8W6P50LNp/z6Re/CO7H0o7yg+9gxNjKvvFJI+BWoeMveXcb7WosOUW 2XUwxKtmRPA0WC9L+wk8XzvT0138/67n/+Y3698//d3duy9+fPePv/3ki0pX aiNk2OeI9ivJG1utSgGrIgxP7+Hr4Bh0njmG11N4LBlIQS37tryCU36+39Mn khelrLXUdL8iUJZ27XQbCNSz9E8W62Wl3Z8bOjsmV+Mkrb+VsNCshOlngvC3 3nprB4VCqhnTenC4pR7cKgBe2wtACOIwjJhZLYghVm3QrRkl9S1tCHBWX5fb UP/T1uHniW7YxUkWvyCNuYZDStB0s8JZBtc4t2Vj6XSd3Jti3BabrZtiBqcp CzYGu2Hc5+tBxOQnQyA2VOX10qbWHBYTWmsD1/w75M6JNTw9yHkpRZ9bw/I/ /tfdf1sgfW8pBO//+L0N2L/+4MOF6rtcdo91V/ylgDlyImuI48K4tRs4rfP2 bzAYQ6S95b6qgg8uc0HTS3I1p+cUJiF0Olq17bEsCTMIW5wmjosE8ixwq8x2 0YTBSUYOs8CVH75rNujxMWUYVsc8zXN3j/fnigxQiFA3LK+Z/+uDY0IbMyb8 icZZjUWDVmch17Rb41P0DNUwDYHP0+Mw/YZaFvh9TP/1rfZOm9P9r6ySH2zo Zd/jPXOBrEQSbtb+WqXihVymFW1TmUhc3IC0tU/5Dyz2aZmxNXYSAcyrCygn FS648UsNrbUtvXiRwBPb6sXzBS7//OEHdx98xBL/1VYePj2HlnxO37V6Gdas GEclZaEQcc9AQY6EdIVxMNkeMdlfEiqixxDKpZkJD6gjlcr/NbOA5Ajdqp0k jf03o2N0aHSLqcsa8hIqjwsF7iXxrVCLLHASdFBCx4ytxVIvfwLUmykovXEe h3UZAXoWakTHi5PnukX+uDJUA7wa7RQ4C6mWe7byp3jheCKzM1cKm5ClneuW hJ5N2MCknjdeZf3FnWuVFIxx5pIhjbFIoelMFRmhuseMzuL0RSNJie5jCcB3 nO22QYSVBQysDpe35DYRhAGMaGcH262jV39B6vXdZ3c/X2z6o48/untvgfiT uNCt7uU/b83dyKw8T0yeCcwx32wN+CrImQ5pxj/mS1ZGjPhFLQGPZb5F8umb duloZpZy4vqoAty/RQrB3QoaTwZKydQ1HrAbZN4i8gusmAm5O22zgrKaV8zq F6u/GMeDs9J8T/fKvLkUIXJeQwXMjVNkzS1vriFYBksJmH5uyaQSl3UNiDYf y57dBB+f/QsAjyUJEW4J5kGW/DC5G72YwPXlf2U3j/yP+3r2XM4xVkgdHEmZ 9DvOlHyz8zp+GofhC7C0UzZXAzb9DdQYstf4+HLZkH5bnYIxVZl7speeS7le NP/Zx3fvv/vi7sW7f3MdH/WMe5fbtYNwiL5qGhCoMVe+zrrKfZCKz69RWNta mw9jtaY29rP1ngl+7lOZAP9MsSLk0v0eOyQ96/4cidc3MU9Ri6yGe9dH+b6C hMcTLNO9i3LxHCw6r0KVKsTworIbGr+xV4e0pPwhPBaEHYcqSCV97bz/PZok ReRW1E6S4pCgDKxDAxEYC0T+wbIeAzlFwYLN8zdtQPUz00+CZjmn8/Tysfhe jsUOYqnLRgsbRz86yn6fCKz+07Dq2o6LpigyjPLJMWRwciuJf90aIC2SXEuW keSZ1fFPm68UWARs2WrfQ0qcxk7lFjwFe+Lu04//9u7FO4Nbf473t0wxYjDx UKMvKKUrSCfGiQy6yGCBtvpc1pI3vwQugRJmlNKCZeBY3NkvLwqqmVeFM/CS H8PzPavWcRxzR9HMr0YKllzXV0BS7UB4gaFKBGe9laW5D2bcIMg4JpuWfMj7 a2TsU7PxKILdFkI4WmSzoncQzfvrmpGeE0FDM3ZGyZve3zqVGcm+9oo1+Moh bgzu8Ymti2nepv+H+4aJOi/xlmxpK54jrSae+Nkp7lww4qX5t3v1oQKxV0Zt fuU2xs/sWk46vmW8ktzgQqV7Mx/6jBJSekypBsfV8VIu38qoOgzOmlezhGSm F41XjZmNjE7W30Y2zfpkrO5roBAvxo2E4dzHOlDURm+2K48mJY9WHjozx2Mv 1mKe78MbOM37jvPTZjC2VbLWVDVKXRIiSmllTPqtQtu8FSgVdfJqLTXne+cy gqYv2sqlcc22RiSrPZ8aOKntJO3ZbJbEu9cWvrZ3MCe6VxmdtWHLqZhSRT29 EuFup/yUy4TF1KIcOIgQL4ZZAg+9pgdSFJA/sAXOtFj6YOUEgMK5lXu1fD6v /Badx4gCF1BeAoh/cbXuyDvNgWZeadn1z8AkKED1GaADU1SAo+BXOTHmFSh9 3nHf05WLcALrLMVwTzKmmhZzbs0ACA+s5Tsd2Douk3B6HB4eDv2w3Klr1GVo WPbwhUWWpSVl34VFW0F6U+8Xbd6SY1/bDBxMkYlZccAFSIA5paQPwhD1nWkI sxqsa1kF0+MAFQkjLwJroS3PJ0o/Bxbt/7ON0QAsF9K1ULlubBTKr0jIJuOS JXwBM9UI9yCckV4GUTQxkwGz62uMUnc09z+erJdKkK33f62vbLSlooBUKNYB PI3RcibLGyMQzUZDNRWtpod0OH2uNuBZA3lwfXYSmPdvbWFBMd8jdeKQiOfK C31j0yuaLmZm+B4teNNOWxrbsITHxaI623T6qtCTJZRIm+5PqUdf7NK1jf/m gBJ5EKnI10dAFI6tBJZEzq3vzURZHGY2duEhfRgm+do2veZRkUZl0fLYpvGl 7BjhdejC21taFVyAlQoCSbASRUirrIrTbGO/p1MXNaf0wsDMpO/Qepgww9q5 UXSr/YRlGkXJLgdfzyTKPu0ngKY6iY4kJcVIamOrko1SW/KMZ9MJSXZ4a17G zJtboQ+czYQXLCKMsTtKwRjHMu15ZKkKzlqTmKX7tE3ARy6utQqXdna2GuY7 MKVpb2B42MbsMkS2HAfxg5ZrfASyu3JoAaDh49F0TSS6luIbB5+4iECHR5oR V0KQRrH0Hp+v2czjJMHZ0YGNBkGH2WbGWUw1Knzrf5PXFv32nT/bBDxnj6VX iYX1YzgWzW/NoMNgSbxyXjCc2V+PQVHuDCUB2GqCTUWyaVS0QkfuhRDqYVjl t3tg5MBCx6FB5PI/ma/PpMH85edmdftNJTnuQ7U0R2MuzOB/40FMs7L8dEbt ZLl9zXqT/lVd+C03QB6uWTBpTWsJnO+wDC5EXWQSzyjV0wsDIJILnxXtmWol vvSw0P6W0Ue4UTW/Mq6dgx8OYm+nCJiHea7vvnGgY8sN37IZKoXDz+mTbx5g A7t8GPzEkCgvi1lnnuKGdniR3uXEYqSgj9nElVJsVPMgzM6dk9VTlEXwcfbC gAr3KrkWW7nEzTf3pArj2rQ02tOreS9oqdI2LncjoCPRXAOiMMBdmulNU2bm v3o10MRptj+Nb/B24AAF43Gv9TLAyY01pC+djYh7wG2915tC2dwUFVwM/ZSC FZ4NEXMk0wjmXEsiQwmT6dWAGUpPfuuqjEju2l2jxRhqp5S1C5j/ossHWaRp ql5Y2dUx6mb9YEnLqrkAQV953B6rQNZ9wemtVRsdBgjW0G6upT/eDJWRhCLM 1siJEDq21anng9ngTMRJB+HaIVBGceBMZ2Hol2YLHIxSO7s+m25gG8Jf24gr C9ClsywG0uucCLNfhdKuNhJr80n+aoZS7TvdAXioR6lQmHM5Xyy+NuX0d9rv MblMCpRqummQtENMNVPESnKXAZxrpxfAluABLB8A8jsW5lVy9t/ngYhPkf1f nyC7Xj71EYXQutVl4CNee2kwqRFUGkRpsPbKi5jHI3xeCydcN9V/RlZIy3oH 4EkZ7jlOyhadOV9x+czeYqM5aktJWUwndNNoTO/+4JQb4vEmAZkZ1bU0vpd7 CvTsPatjQfDWBePNLYPAoyxf9IW15UxF+4wO23QOvTkdNG5JimQQ1rZmMY/X SJGZTTlsxELHdY2aAEGz0ztWlvHqZbOWXptDh3iYThH01Tlj6DC3YHlJwFT/ ilpxMjdw0zJq0SDQ1iiSZoGeBRGSvJ5jAanM7PRpepEh6J71iGDqHUhyr3u9 eCmPVfajSaKsc8jp1qltSRWtQFlB0cyUyfaiN6cezKIv4KbHZ5vxxQRE10ge 4iU2TfTEbqlqFsyzvYzLafGph9SGktS9OsNqtoHD2YxxHmTkuZjqslkuBIPk GceFYHMnthhlS536d+eyPeiAokV7OQiA9s0333ygsJidrRSh6pptNqv7Uf5o o46imxCCXvy4MKC/waggrO1PsfViidTusSiGF2hUeghyZZfhqUXV8UDuLvcu XEl02EFuqdJx7L5VsqKIFnuqVKWSAtTkO9ZiCcqXQOJXr5ofkhIKysuudghp bcG7ILiMz6poi0Gj1DKE2LCG4xZxV9wzb5R0jIgeD6rUw5QDVDUyGWEMvzz3 EECY52bFbT1nibIwZjYd5tI1TP9xpiJmjEuq0Q6LVHdMfDGFy9K3QxCC+Be9 TY8VOWLjzA6oAiRZQRhLGevWAPDYY4UcrNiMKRevdqhBrNL9qv30orqsjc5j xc6ruJ1XtvSuwliFplBetUre0w3yWHks+ije6hF0gXpxUqspYHSDdFe/BQa4 q2ylmO1sVnJKBF/KY4UDGWNZuekzLAfLyDtBHKCNDlSuQWSnDVbaBRGlWqLX 2RvU/7lIPaP3fof1A3nrN4Hoe9a2Pg78RJeD5o2tPZDoMVD0AhFXG7vhVF+a ysWiLJ/Hq/uaHiso43x//SACq8C6YL+uyOvaNw847ZCRWjE7pJdGeDZi9OHf qPeifdvweWisUYO9AMNthF+bLRD2i6Zwkgb23zbIwmSF2qQlq/NcWYRSjBF9 onh6WvHY3s/YFIZRWzaYtAfT3qLfkkSw6L6zvK+S6opnslAPzp7xXL3zRO08 BzlceYEkNXWEBwkzIwtq+5Khjj0Yk7HFFCv8QXfREnaSgwBDLW/NTpXnho0U UqaC5Omqrc7B4yv3TVpf33OfGdDGczm87zvy3PLTbtc682Gxkwubpms54DVD yvds1XEUTnjaeH5KGESBS75//XyMd2JUBmKR8LcF0XxXxeCEMRYEQyhlguic Yp6S8DCN5Y29PCWoeVlat7vnsn+2VYP8TuQMLlwUBKSm0x+aS3DDanO8UmiL uBobSsjSwH4odXkd/E+4UNgKClgckDyHlV4B8zKNqCB1m0xEe78o9Uv7rrAs JER6YN+V3pT7Vakj5ZD+T1WZaSv4EzGBPOt+WNplmQ98CFXJGzuBWQSOY9ja eg5T0PxaSyy5OAyS8llqVqnfWUg+9/d9fd4tWdu6z/MmibC6VoeRyg9kp4Zb rJ6qdUK2v3egQ/UQ9YVZblJM0TZK0L5lYf3enoppoWjLi3qjsEXt+bCwX0+l XmQu+bpZiG59ZXwPU5yzsOLlhUfEBO9sr8Y+uRLgf7h5TznLqI/wKZR6kuH3 +3GgzF6YNseml5fFACzcCrhWgAys1Qk+jHczeU/6yrZKOlbN5wBhDHV1Iw4y z0834S9fU8t9SNDbXQK8M1LtYo4HD7WWp6/t/l1HNBgUHmPwrvk+CV0YYSrl s/uFfUm5F+aoehDjbS8qkiushfsoWIsbgdPct870m2aRzTmM/LqGs0Dn/Tl/ X9nCCi7UeGUqmS+hxNhfnLHMK0immCNWt6GLsRItI6bJTgEp/zNh7Qm9TW4G bZeLAyP0+DKv4KUDjH/3u99FS1bVDEBgzWoGOc55qQ8SwKnvy8C+LLBSx3Jp Y6EmmQXW6V0V06G7gubFFGMpJG9xHbNKW2M1JUHNEqsnztL6aAQkeJ4o7JAy RAvOWYO1AUSNYnxesw4xNDxjNJV5Btx/8ATcs1OyuaCqc2zTi9u5l9/flOzZ s8qAJgNcabLWAqWX+d48G7/nAEs9xRFVvoROFLSVibwyOc0zh5fnA2/9X4kA BHhlVi7AA/KsLq0/1lRzuaBYKbN9DMSahwrxwG1u7gUfi5GWaEUxx4L5aWw3 1st/VxibT8e0lYHlwfIb22wplqHbE4xOKheVdq1Qg+FUOSB8oA2DvnzwmXNg 4+lJuWHJtVyoXmgjm7c68zILZ+437nbaQF0pQL6fqYGVUp2Lh+Fa7lu1qRmf DtJ7oxAakBMNuMM5H3H/tgpWMt+q2RBjPjGAl/Fk/eiyAT2EzopNUlw8oLQV cqbTaikznX5lsijVFhbcgkDbmW+Zrhz15rc2QQivFQ+KKaiI6rMZUOTpkbX/ 9luSPecCMXBSuPffnk15WdTxWBe+b9dyO2AAV7/XRV/dREmE2pcrle/VrfJR J23bUhG/uy+/tsmRtuXOEIDRpidgdTQbx9rOxC4TUbXQKGh1hTvaDAy/cLYX UoXQUissmL+zTJF3RkTuwdK1sNnKRgmKggEzioMisBL3j3WSn0Uvi3TOVE4b QJaV32puR5O7jCbKAvbl/gtcL9WckOmB5Z8eQzMAt1kRdooXeDaQFk3GDmnp NPmUJEASEyoVAUglTuYoIadLnUA9zducir4Cm2fU3wiYF2BT7eC/VDcviuni uOHPSj22z8D2lCRdaIA74vk+Z/TmSCXy2TtrdfMB2DDsjUq/Nqb6xY5E9xEc zYM1cSf449af9YtE1uxcgwjP2btntP9lEzPxNZ2siK4EVM+FiXSt6mRrdoSx xFHh93Qju/rqERP25ZyLsJXMFNsOtp37m7XicwY3jBtLyaA4p+/g5ARDzTaJ KOKuPip09pcA5r/fC5AHw8AQnL3wMANzzWSy8Jl79AEgLfiBU/IaMJEiSESe tu836UPul2KK2VgwLxOySF6eLRnqlQMC4MwMQzBLeX4QgbKZs6iPK/Ywiesa 3e3xsesYwEmMvwBkcc+mXwWGrA2MgkP1rXOtTRTtzMCqCmPej6J/OoBcz6UF H6/IZUz5Xp47LwxqkVQfW8p51IAhLe5/+/j3t3yJfYI7WLQLx7+6niTr8dv7 OqGdc4H2avfYQ7WL87tIwb2tciVPZpPvhu/H7+xebYE8D2nq9/iME+shFP/3 /+cv/Z9Z/Piv/h/fRPIS\ \>"]] }, Open ]], Cell[TextData[{ "Here is a plot of the surface using box ratios ", Cell[BoxData[ FormBox[ RowBox[{"(", RowBox[{"12", ",", "14", ",", "20"}], ")"}], TraditionalForm]]], ". The image is visually pleasing, but because the plot range is 4500 to \ 5000, the box ratios to get the true scale should be ", Cell[BoxData[ FormBox[ RowBox[{"(", RowBox[{"12", ",", "14", ",", "500"}], ")"}], TraditionalForm]]], ". So we see that this image is compressed by a factor of 25. It looks nice, \ but is not the place to compare geodesics since the true lengths will not be \ evident." }], "Text", CellChangeTimes->{{3.448925323342214*^9, 3.448925382117062*^9}, { 3.450338032891844*^9, 3.450338084769986*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"Plot3D", "[", " ", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "6"}], ",", "6"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"y", ",", " ", RowBox[{"-", "6"}], ",", "8"}], "}"}], ",", " ", RowBox[{"MeshFunctions", "\[Rule]", " ", RowBox[{"(", RowBox[{"#3", "&"}], ")"}]}], ",", " ", RowBox[{"Mesh", "\[Rule]", "30"}], ",", RowBox[{"RegionFunction", " ", "\[Rule]", " ", RowBox[{"(", RowBox[{ RowBox[{"#3", ">", "0"}], " ", "&"}], ")"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Graphics3D", "[", RowBox[{"{", RowBox[{ RowBox[{"PointSize", "[", "0.04", "]"}], ",", " ", RowBox[{"Point", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "0", ",", RowBox[{"f", "[", RowBox[{"0", ",", "0"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"1", ",", "4", ",", RowBox[{"f", "[", RowBox[{"1", ",", "4"}], "]"}]}], "}"}]}], "}"}], "]"}]}], "}"}], "]"}], ",", RowBox[{"BoxRatios", "\[Rule]", RowBox[{"{", RowBox[{"12", ",", "14", ",", "20"}], "}"}]}], ",", " ", RowBox[{"PlotRange", "\[Rule]", " ", RowBox[{"{", RowBox[{"4500", ",", "5000"}], "}"}]}], ",", " ", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"x", ",", "y", ",", "z"}], "}"}]}], ",", " ", RowBox[{"ViewPoint", "\[Rule]", RowBox[{"{", RowBox[{"1", ",", " ", "2", ",", "2"}], "}"}]}]}], "]"}]], "Input", CellChangeTimes->{{3.448195400360304*^9, 3.4481955917680264`*^9}, { 3.4481961142334538`*^9, 3.448196128672142*^9}, 3.4481961623451757`*^9, { 3.450337873433908*^9, 3.450338016811088*^9}}], Cell[BoxData[ Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" 1:eJx0XXdUFMvTXUBy2gV2CRIMKCZMKGa3Vcw5oyIgYs4JI4KKICLmrKiYFUWC ATDsiAlzAEVFgogICqIiIvmbYaxqXv/O9/7heF+f6urbt6q7Z7pmG3otGDVN XSKRvNKRSDT4v++mrbpfU2PO+TbMuSH8dVnRqrPkRQQZMt6leMBOM8RlNe/e GRtGEtUAowY77WWIH0ieG13y8xLxXhp14Oo8fcQLVi3OdFVFkUG1duohnte+ odrxCdFkSm37ChXgt3ck9njzIJq41eLfEPfZN25PiW4MkdT+l9IdcB2XdG1J gxiyUGyvZNvPEe0rWfvDRX8I689M0X/C+n9bHC9hxztM5Iew/Pzjk7B8As/i X1Oup06kk+TCBeQZcINtk14b51OeAX/Ubvmb8ulRyDPgX3s7pbs6RiPPgOeW f6wOf0B5Blw1YUO3Nx1jkGfAl3qY7ypZTnkGXMvgiKZkK+WZbQ88s/aBZ9Yf 4Jn1H3hmxws8s/wAzyyfwPPsMQ2P1dQYc9vHFrWReF5EngF3+3D4pXHYJeQZ 8MVv96WUc5RnwHfmj05zDaI8A741XL0qvGEM8gz4DMnJLm+2UZ4Bt9bqvKPk JeUZ8MiYWxqSPMoz2x54Zu0Dz6w/wDPrP/DMjhd4ZvkBnlk+gedG6UNja2q0 uU6eP1pJCijPgK8vHvYlyCwKeQb8/mSL5HKtaOQZ8Nz5Ke9cn1KeAc9uuqEi fAblGfDrG+07v3lNeQZ8YUjcthLzWOQZcPXOSnVJ61jkmW0PPLP2gWfWH+CZ 9R94ZscLPLP8AM8sn8Dz5ce/t9TU1Kg6NItuIRkRiTwDvm58m9ygfpRnwO/d /vuyvDPlGfDPry6/da2hPAP+cfPU8vADlGfAE/LrdXqjHYs8A76gaP/WkoGU Z8DVDtupSTwpz2x74Jm1Dzyz/gDPrP/AMzte4JnlB3hm+QSe+yccml5TU6Ta dLFdc8kWyjPgLQ8u+BzkTXkGfEG9Li/Lx1GeAd8mL0l1tYlBngEPeXqiLPwa 5Rlw71Z9nd80oTwDbtn+XWjJDMoz4BEZHhLJWsoz2x54Zu0Dz6w/wDPrP/DM jhd4ZvkBnlk+gWeJxP/qplYbejr9WNRMcozyDLj/dePPQfMpz4DfbfLuRbkn 5RnwHOc9qa4OlGfAs773KQu/TXkGPH7o545v2lCeAZ8/emVoySLKM+C1/9xE eWbbA8+sfeCZ9Qd4Zv0HntnxAs8sP8AzyyfwXFEj/FekrMXr6BnwWjt19Ax4 bb919Ax4rZ919Ax47bjq6BnwWh7q6BnwWt7q6Bnw2n/W0TPbHnhm7QPPrD/A M+s/8MyOF3hm+QGeWT6B563fT7/j/4dys6DzOvkZ8Nq4qJOfAa+Nozr5GfDa uKuTnwGvjdM6+Rnw2riuk58Br80DdfIz4LV5o05+ZtsDz6x94Jn1B3hm/Qee 2fECzyw/wDPLJ/C8rRbXJp2EvF1nvwH4eiHP19lvAH5fWBfq7DcAzxXWkTr7 DcCzhXWnzn4D8OvCOlVnvwH4QmFdq7PfAFxdWAfr7DfY9sAzax94Zv0Bnln/ gWd2vMAzyw/wzPIJPKfW/jUmXYV9SJ39M+DaX8Ke1d0/A54k7HPq7J8BzxP2 RXX2z4DnCPuoOvtnwG8K+646+2fAFwv7tDr7Z8DrCfu6Ovtntj3wzNoHnll/ gGfWf+CZHS/wzPIDPLN8As/ba/k3JbuFfXWd8yDgU4R9eJ3zIOBLhX17nfMg 2hH2+XXOg4BvF84Fdc6DgM8SzhF1zoOA2wrnjjrnQcCjhHNKnfMg2x54Zu0D z6w/wDPrP/DMjhd4ZvkBnlk+gecO56UvhP/vIpwT6zzfAFwqnCvrPN8AfP/U 7xfqPt8AvEA4t9Z5vgF4nnDOrfN8A/Dbwrm4zvMNwH2Ec3Sd5xuA6wjn7jrP N9j2wDNrH3hm/QGeWf+BZ3a8wDPLD/DM8gk8v639W58MEp57PDmPPANuLjwn 0b2IPAN+VHiuUhiJPANeJDyH6UF5Bvyb8NwmNQp5Bvyu8JynL+UZ8JXCcyE+ foFnwPWF50hHopFntj3wzNoHnll/gGfWf+CZHS/wzPIDPLN8/vd5nR05fWp2 D8mxc8zzOjuypJVFpnF6BPO8zo5USCKulty+yDyvsyPdGje+Gz3sEvO8zo4c HMhpHO8VxTyvsyOLz04hby5FMc/r7EizyJJ9JT+jmOd1diRh4ho9iU4087yO tv/v8zpq/7/P66g//31eR/3/7/M6Ot7/Pq+j/Pz3eR3lc6d7ppv9QAUX0efS 7ZoaOdfPq0gZOpfmbcD3DnjdUdLnAhlQa/+3CvCvZ9Q35vH7+VG1fqYhbqQm nV01muLwnDBnf7c5vlYxZJWIK9n2gLPtR4n9Ktl+d4v+E8D7/td/8v/5r72p 7+OaGhnXw6N4fV4I9RPwKXGSmVXXqD8sDv6wdsD+/f3XztXU6HPdSvqsy0uj 9gH3GDZyehW/zwT7LA72WTtgf20tPxpczqzffnn8/grsA65zR21aVR9qn8XB PmsH7M+tfQ5Wqup8s55fnpLaB9xNYeJdNYfaZ3FoP29fvmVNTabKbcD6qVV+ tF/WPthh24M+Af/0I7l96N1LGHeA+xc3lvhvpP3Olk1oKpFkKbUnjKq1A/ZZ HPQDdrL/2Yd+oX1nk6X/6RfwlvV+1/jV6bff8uQCflzKWv/r8MPi0C/Y6fTP PvAP7TsXLV0r8AP5B/Dv/cJCl02i+3DAa3lYRHlm7YD9b+17fOLnnXQR+K+j H8AnC/NYRz8sDvZZO2DfqXbd1CefBV3V0T/guoIO6+ifxcE+awfs35IuzuDj jvQQ4qJO/AI+RYijOvHL4mCftQP2vZ6kpfB5gyiFuK6T3wCfKuSBOvmKxcE+ awfsa9XmDUtSIOSxS9FoH3CpkA/TotE+i4N91g7o9nxt3rMhVVFPXUK96b4F 8KH7YrtKup1HfwDv+3xRUF5j6g/gs5r5za0aTv1h8f/meTuy99L7eb7q1E/W /n/zPG0PcQHtK//5Dzi0H6sK6B/68DyOF9aL3zv69Q4tu4DxAvn/WE2L3cv6 0P0n4O0vRGv5T6D7T7b9f/s154oZ+5D/i6/W37nsDLUP+Mapx+v536T22fZg B/L8zyFzty8rpXYA31D2S93fkJ6v2fZgB/L5wdvW25Y50fwAeKv5J9T8B1I7 bHuwA/n5u5nj1rp5BnD/27Finvk37/D8M8jp1lTfFdQ+awfmnW0P+oQ87JQa 30xyKBLtw3O/D2Pcp/qup3ZYHNZ91g6+L/uXbzf9nfAf+/C8q9bOCmqfxfE9 EWMHxsvmZ+AT8mSRwEOdeQF8ncBnnXlh24MdyIeHhPmqoxPAHYX5raMTtj3Y gbxXLOinjm4B3yjorY5u2fZgB/JbiaDnOvEFeJCg/zrxxbYHO5DHjgtx95ie XwDvIMTpR7qvZtv/Nw/YkXH/8gPYh3xS0fTg3mVKah/w0OQGuv5jqX22Pcw7 mz+dsy/Idtqbc7tjBqpqahRcwV1XvQHHL5CttXYeKwH3MLL2rOkWA+0J276n 2F5V0ztpZU3NF9V4P8WEGv9YtMPi0D5+5Eb/6prnKrXtua41Gynu0kF/iUTy Qjl+/7NaHOywOLQ/fn3Wn5qaYqW6YMeHtmfx/47XlpSpzzAeEHge7QA+zfGE V41jNDNe2h7iDt5Ppf/w9fadSOMOnovW5oeJND8Ab+uzy505vQtMv5RnsMPa 7127HuWopNKQvTU1Far476salLvFknEirmRx4OH/4xnyzLVNFa52AbQ9i0P7 mE2tTCWSPJH/OvPL4tAe8ozXgcf/sc/iwCfLG9j5WptPKpSugn5mUDssDu0t x+rk1dSoEdfp7hNqRtP2/x/+/807rJuREzfrb5pB5+tCbRypca71nSfWtcPi 0D6pdr0rVo0X+q2jTxaH+QXcSFq/QfkcOr8sDjoBvLLJ56npi6l9WF867Ul1 PRpI7UNcxHc5YVde57wD+Jnh82rtQL9se4gjyFfSTUnSTZ3wuQfGy7YGut25 7+eY9pRP8BNw5bvLnkdtYxg7NF7AT7hPku1ZOdN3E40XFgf7P/5kJtXUmHDa z35PrjkZg/PC4pBXAX/R2UbT8zTdP8P9is3aNjN8s2m/LA797vcpOFlTY8hN nOvoVlNG+2Vx6BfwxqljNTwraL9w3yBjS9g032Z03lkc+h1RYxFXU6PJTci/ N7GmK9Uhi0O/gDca813NszttD/lEve+t/8Qdi4MdwB9fypV4zqLnX9DhJ90t 7UMfXkI9QF5qn1RY0d+Znk9hvWjwtafEcz31h9UztId1oYFGaY1HED2fQvvs //ZLoH3625v/6Rd0/rjcSOK5gtqHvNHwZaDEcyyNF3gvkyHk5zrzwuLA25Ta /YMumSDkB2s6LhaHfgFvFOiu5mlL+4X3FFnCvNfRIYtDv6/DU7NqaqRE69K8 STUvqQ5ZHPoF/LnlXnXP5Bhm/aJxDXYgD/woGj31qBabP2l+APuQJxsK4xpL eYD1rnO70glH3Wn+gTxv1DzZTljX/tsvzRswXjgXTNVYPdFuAOUT9PZImN8g isP6Vauf9TRPsv1Ce8Br9TkrlsljlAfw09Yy4inPJzepoeZkgWdoz+JgH3D7 LY71BP7Bzu+E9ZG8Hrh6wnxZ035ZHOwA/lSYR14/V2vbX1fuqZ1Hde6a3dVU 5XDaHtaRBoLOV1C9sesLzC8bv5C3AU/6vK0ZdyQS452NO9AV4Ev+eNS2Bz2z 6xHwcLN2P69JNIT805XywOIwLsCfCHmpTn7TrN2HG5KJQj4so/PC4mAH8MZC nqyTn+F91hYh/9dZj1gc+j3jZ/CBX1+Im5D/T9J+WRzaw7n7xt+Vk+1uUBzO 0QlbH02yM6DjYvUPOJynvAW8Tns4H90Q7PD2Ie4gTo3v/WpQPoDmN8Cr3t/w Tuf1oxB1pWJ1Bc9nYD9Z+xxvND0PAl573lxA4w7yf23cLaPP01g7cN5h7YD/ rB3wB/afn2pc/uMP4AfGz/uPP5AfjHqH/Mcf1g7eC2XsgD+sHdAVzHsTYd0/ TfXAzgv4A/uTW8uj7csPUB0CfiF09cz0Y7Q97Ctkiq+Nyr/T9oDXtLw8Pb2E tof9gHTX+oblbWgeALz67JBp6c6UH1inpIJOZLQ94NWCTixoe1hfbrq2aFR+ n/oDeMT839PSn1IdQn6o5W0V1e3Kyb1Sa2rMyGQhfy6m7YFPU2G8B2g8Aq7W ih/vMfqcE57nTH0ftXbmkFhyr/b91E/Uz5o1Qy4WedB5h31FXMWItTPH0fbg 55o99S4WeVM/IQ986b/X7eiWGNwXwfOlnC3FTqGH6XN78Kfzg8FOoVfofgn8 ST89tLJ/q0tEa8S54HlpJvjcqb9xQumdr1H4nhFwySWnz9pzo0jRe9nZq/Pk uO960tcrd0aLKNwvwfOf2vcUvD+Aw3Ok2n0U74+O2C8+R/ppt7m2X7yf/A+P UGnU9vtT7Bf3XY2GDartF/yBcTXquDN3RpMoXF8gXmrXi1Z0fQE/OwjPx5bg +kJgvXAS1iMLyg/w3D994N87b6IQB54Xl5eU9vkURc4l+/RMu2qK/oSShD2n z0WRpYtvL0iaTs8vZsvsTz3rQu+BXNmcVzV2poLrW5o/4pQ3vVd2vEWjjylT zbj1LhkGYcmRpOnGPmfKJ9L6gq3Ghja3zC+SuPC1kfWiFYg/dlN7dyXwIhl0 K/6KkTbFdc6X7L5YcpF8eP/7hsVkOeLQ77zSNncbxdI6BegX1tlXWQUnE4zN uJGJFlPun71AAmK+J6uKTXFcYMejHVec3YLiYKdr1A5TLS8TxFU7XiXt7n2J KNpMdWp+gNabVGbcD9gSTe8dOUsMyRAHc8567+QGvaX03pfDsX6NHzeScwk3 xlff7B9FfH9c+9Xzhyn6D/ZdFwSbeDlQHOx3/D6x/UZ3E8TBvsm8VqPO7qF1 GWB/TFVkk503pegntK+4pfPKfrsx4tB+2IZY1yanDBF3/TTyQxe/KBLe3z2z SQKto/mjOyThylV6z+fg8h5TcgcruN1t++1v953iW82Xu0zrb8a1H098LjaJ JoqB5SUD46XoJ9j3H3d08e4gY8TB/murQWW7DxsiDvabZ/722xNN603AfvKk RkaXXXXRT2hfcu/y3jkftRCH9nCv4HeU1qGmmebcC9+uY5pPpnjeCLL21Hs5 N/9kh/andkeTn1EjB0UP1cV+ob1p/ZxXM99oIQ7t1RMiq0wn0jojaP9s3YDG A3IliEN7uM/QriAtVu+tOWfwuLW04ROKN9ki3xecLOfO/2z2/bBGDPHwHh93 bhCtr4H2LVv9TE9/I0Ec2s8Z5dDpeXA5niOgfeTb4bdOGn9HHNrDPmHQ2m2a PoMU3ACLxk8susWQ8MzI8rnjyvG5BOCWxe59s84WIp7b0+b87sV0PzkhQeEa Z2SO7WH/wNpfJvqpZP1MFP1Usn7CPQ2WN8BZ3iJE/5Ws/46i/0rWf21xHgk7 j8niPBJ2HuF+CKsrwFldeYvzSNh5bCvOI2Hn8a2oc8LqvFzUOWF1DvdS2DjF +7FMnP4RdU5YnVuIOieszseJeYaweaZGzDOEzTOjxDxD2DxzSswzhM0zcH+G zauAs3nVQswzhM0zAWKeIWyeeSfmGcLmGUcxzxA2zwSK6whh15Ep4jpC2HWk u7iOEHYdsRDXEcKuI7CvYNdZwNl11k9cRwi7jkwU1xHCriOdxHWEsOuImbiO EHYd+dNlk4OhJX2vCuv4horTSYNmyhGHdVx2896sTddoHSKs4w7ifgDtg514 cT+AONgZLO4HEAc76eJ+AHHgZ4G4H0Ac+IH9icvn6DvX1U2Qn9bxs3Ov3KV1 edCv6vWpQpUVxaHfEb+yfj9cqEAc+v1oZF2ZfF+OOPS7uOV4jQxrikO/sD85 sLnPSNkhGfIA+4QuYW+PNywwQd0CrvfUqsW7pVLUbbSi1QanebR+EOZ3656q 4+NOmiIO8zvH7HniSn4fCDjM74Bdx7IPm1Ac+m1islidG0jrENl1v2l22bLy TBnmh/U3T07a4CbF9hBHrsrfPbSfGSEOcXRB4+hd7U8GiLPrr9eYHa1Tn9B8 iPdaA5KvbB0rw3zouLjVg5lv9NAO5uEPt4Y38NBBHOws7DfybeoXTcTBDqyz h0c3Tmt6l64LgM/bMM0rY4gM1wVf7ZtbIirV0Q6033nkordKVoPPz6H9uTEX btlUlSAeMM18k/R8DOkVqqV+sOoDPldvtEU2fctHuq6x/gDO+hMr2ley9mHd YfnEe7kMn+vFcRF2XIfFcSnZccE6wuqhvTgvhJ2XMeK8EHZelonzQth5gTzP xgXgbFwEiDokrA7dRB0SVodRog4Jq0PIt2zeiBXjjrBxt12MO8LG3Twx7ggb d4PEuCNs3DmIcUfYuIPzIJs3/uUxbM/kMcQhj40U8xjikMeyxTyGOOSxpWIe Qxx4gLy6+4d5k6EpRsgD4Ksji/wkvjrIwwa/LyMdf9L6XPDH7HCjCZ36Uxz8 OR032bNXmILW7f7zp/Pr/TMGF8sRB38e/kyeP3YgxcEfNyNjH4+jtP4X/IE8 vCVn2tzrDw0pb//ybXUa0W75Wg/1k9no+91Pb03RDszjjXBVjpaU4jCPBxrs qNeivwniMI8+R73sh66ldcfsuWlNi3aTv68yovvDf/jUPJ248MY6GC9L/7qa 3josRTug5+5X3C6uGWaMOOh5+0rtDr5TDREH+zk9YhJ8V9B6Zzbfpo/f/6FK YYh5IHtJ6p6B9XSxPcSpRsYsW7VQLcTZ/Dn+9JEWpyWGmJei0vqO/fxJg9ZZ /8sna05krrJcKEEc2sN55HAjl6HDxxlhnlSzsJuUUfMX3xsCDucLtr3P6GeL nwd/xfeJXIy+i44lrXti/dQX7StZ+5A/WX6uiOMi7LjWieMi7Lggf7LzDjg7 77ki/4TlX0fkn7D8Q55k9ewj6oew+iGifgirn92ifgirnzxRP4TVD+RPNj8A zuaHj2J8ETa+bonxRdj4OiTGF2Hja4UYX4SNL8ifbLz/y0vYHvKSXMxLiENe OiPmJVov/y8vdRHzEuKQlx6LeQlx4MFdzEuIAw/N3sbne2bR+nroN+H37x+z nSmO+1tZ279LtygQh34zHOfUrM2WIw79Lhp0Wiu4M8XZfDh16cGZz7pQHiAf FpplvAtTaKBO5uwPds0NpfX+uJ80n7RC954p4rif3Ntqf6tKE8RhvtTl1deG O1Ec8+2u56mLZ9PvBkC/Mre5nqsCpIiDPn3WbOhfYmOMOOjzMWn9rKS9IeJs fvOzd361Q6mFcXpk+SFrxx70uwQQX6qPjqdy7ukgDvH1cTDneHiYFuJgB/Le 7oOzlIMaaGHeiD0b0ilkiwa2hzzgt7DJZJWFBHFoD3lv77Fzl/Xe0nzleUf7 b/SHUnyPDDjkPbZ9M7VFuTZVn/Gelfs7zUYBI2jeY/2cLdpXsvYh77G8xYnj Iuy4AsRxEXZcx0WeCcvzXZFnwvKcK/JMWJ4hv7H6NBV1QlidrBJ1QlidPBd1 QlidzBN1TlidDxJ1TlidO4g6J6zO64k6J6zOP4o6J6zOIV+x8fgvP2B7Jj8g zuQHxJn8gDjkh8VifkAc8gPs625cjhkVNpHy4LxjWPvEI3J8vwDt742al1xT SL9TAe0hz3iNmfDj6Npy9H/ujMP9K6Lpewrgp2HW8kehmfS7FsAP7IuChoy7 EBpfhfppGxhc00mXtod5n5iX0TvOVIo4zLvunpkGi7obIQ7zPnmC6a5FIw0Q B/uQN46vP3bCv3sp6vzB9TYlXerrYXvQbV6TRN+fJ7QRB93qbR+jda6VJuJg B/LG3pm6Cd1T/mDcbZq/1Snsjxq2hzg6O3dEzHHNKrzXDe0hb8TNGNbytKQK 4/3BuOl79u/6he0Bh7zBtof8wPoDeYDlIVT0k7B+xoh+Klk/YZ/DzuNjkU/C 8lko8klYPo1EPgnLZ3tRD4TVg5uoB8LqwVDUA2H1MEXUA2H1APsZNi6KiheH nWxHv0MC+eHJYpebD2aaIg754dxPefrXoyaE1X/gwi+VhqnUfzY/sHFke+fj xRE76XdOIA9EZVpfmZinQBzyQO/K8Te8e1Ic8sAbi1135u+WEzauZ3d89mjF VzouGO/UbTeSwm7J8f4btP85Im1WmiHFoT3sK+5zNku/LniL83K+k/aYt2Pp d1eAt6Crb5dUbDFFHJ9HdTy/y/auCeLAW6/Lq2N7VdDvtABvtk5Dk73bUxz6 bdJt0vJSpRRx0MORrlOWFe02Qhz08Ktav7LonAHioAfLuQuM1EL1EAfddn2j ti9OroM46NaN7LZbeEQTccwD0y43/rJHHXGIo4kTD+90dqnG+4EQRwM7d9Xf dvo34hC/BbX2S5QsPl20T1j73qJ9JWvfRhwXYcelFMdF2HFNEcdF2HHBes3O u4PIP2H5Py7yT1j+/4j8E5b/C6J+CKufYFE/hNXPdFE/hNVPH1E/hNVPA1E/ hNWP4f7jNlmx9Ls3EHcOAWlHO0opjnG30KxRyFx6bxPjTnHjAh+/+B0bsDPT qTSWj1/EwU7Z8PbX+fhFHOxsmTsvkY9fxCEe7YLPPuTjF3E2HguKjtzg50UJ 4/LLNj/M5zFsD3y6Tcm/zucxxIHPLlkJaXweQxz4VHhsqeDzGOLA56IxH6uE 9Rpw6PfQVedewnqN39v5p4fN7Sx0hfUacNBDZkniNmG9Bhz0cO1XwQ9hXQYc dPvWzW+lsC4DDrotvy9TF9ZlwPE5wNh9jsL6CzjES2QXr9PC+gs4xMsrtYB1 wjoLOMTdBxFXsrhUtE9Y+3GifSVr/7o4LsKOK10cF2HHVSOOi7Djgnhk532J OC+EnZcwcV4IOy9bxXkh7Lx8EueFsPOyTtQVYXXlLuqKsLrqJuqKsLqyEHVF WF1N+trhpOde+n0kiCOfN/OaXv1F7/lAHO1IPH1WfzjF2eeZ49a178av7xgv B/zmfxHO6VDHAetvi8PnvgvndMCh3+txOSXCOR1wfI762q5KOKcDDv1m/pxY TzinA86e0z/7eebx6z72u31Z8ljhPA7twc95v08uE87jgAPPg5b47BHO44AD zw6/+l8RzuOAA8/1Flm+Fs7jgLP78EHZegf5/RvO766/9ScL53Roj+evK9lE OKcDjuevlaEPhHM64Ow5XYvITvP7TNTt2s9yM+GcDu2h32PDzx4WzumA43Ow +K5NhHM64Ow53cX1wU1+f4vxlbAsrKVwTof20G9gj04jhXM64BCnyy37vBDO 44CDnfUT3PsL527A2X012+860Y6StQP7bZYHlegnYf0MEf0krJ+w32bna73I J2H5PCnySVg+74t8EpbPPeK8E3be14rzTth5TxbnnbDzDvtqNu52ijonrM4X iDonrM6HiDonrM6bizonrM61RJ0TVuf/4h1xJt4Rh3i/IcY74hDvw8R4Rxzi /aMY74hDvEes8hkmvDeBOgt4DtB9X/RY4b0J4ODPs9gCN+G9CX5f658/Hi8c vIX3JoCDPz8KvOYI700AB3826B5ZLLw3AZzNP45Gc7yedaH+wP5hy46wtDCF BkHevn/ghPcmYAfmy2deZJbw3gRwmK/RBX4S4b0J4DBfbeeMbCC8NwEc5qvb VE8j4T0I4NDvo81zTgjvQQAHHdoOV7QQ3oMADjpcYno7SngPAjibfx6G5D7d odQioPObFsbBwnsQaA/xkrE+XCa8BwGcfQ+yrWJst0ENtAjE46Btnn2E9yD4 /bR/9hXjy2cK70EAh7geb7nCTnjfATjYeeHaPuBZ8Fesx2Hfa7D9ThHtKFk7 kGfY8Q4X/SSsn/VFPwnrZ6LID2H5yRH5ISw/sA9h9dNDnF/Czu8zcX4JO7+N xPkl7PwuF+eXsPN7SNQnYfW5QtQnYfU5VtQnYfXZXtQnYfUJ53Q2Xv7FNbYH vIcY14hDXD8X45p+N+9fXE8R4xpxiOtfYlwjDnG9UYxrxNnne11KOjUcmmJE 2P3Pqm+3AiS+OtjeQCflo3B/Buqw4H1KmL1xvnB/BnAYV5teg34I92cAh3Fx kzeWCvdnAIdxjVrFVadbU5y9P5Nd/WvW9YeGhH1vK2n4Xqflaz3kv+aFyle4 JwN2YFwfhu8IE+7JAA7jSnjmdVO4JwM46GHf0A7pwj0ZwEEPy57wm/+B9HuD 7D2ZHnseT/i+yoiw73OXhIy6Gd5YB3W47Y/GWOH+DNgB/xdHx7QV7s8ADvq/ v2zyNeH+DODs/ZkZPa3SqhSGGF+awxpeFe7JQHvwp2lcbE/hngzg4M+ARv0e CPdkAGfvyUxrqmx+WmKI8X4+PGupcB8G2uPzule/Owj3YQCHvKFUa7xAuA8D ONgp/Xl9476qD1jfx96HYfsdKNpRsnYgj7E8XBL9JKyfpaKfStZP2C+x8wg4 O4+6Is+E5bmlyDNheR4i8kxYnvG7u4yed4g6IaxOfESdEFYnj0SdEFYnsL9i 4x1wNt7VXtbGEWHjKEOMI8LG0Q0xjggbRwfEOCJsHC0X44iwcQT5k433f/kH 2wN+RMw/iEP+aSvmH8Qh/ySK+QdxyD9jxPyDOHvvJaoiUrgXhPgth6Bwod4B 6l/gfs5wl8SzQr0D4ODnR8+qS0K9A+Dg52LfzteEegfAwc96B5fcEuodAGfr HYYZXRLuBRH2PuEHs/TwhgUmhL1PODJe1fLdUinyPPnAj29CPQLYh3F1tkjU F+oRAId5l+/b1VKoRwAcn/fKpw0W6hEAh3mHvNesur5PeaYMdegxIrpQqAuA 9uCn6TRDL6EuAHDwc0bzuDyhLgC/q/lP/zcKvRYIdQGAs/f8T8w/3Sr1ien/ 7OssTIOvbh0rw7i7eEejo3DPH+zgvX3HvTeFe/6As/f2e1/q9a7pXdP/2e9d G20/NWOIDPOJ5POGg8K9fbAD/jy5YMMJ9/YBZ+/ht/fokHk4S4b5zbBTn33C PXxoD/0WhwetzTxbiDh7D5+Lf5FpOkJK2HsyrH3It+y4AGfHZS76o2T90T5e 64+S9QfyMzsvgLPzoinyRljeXoq8EZY3yM+s3mLE+SXs/KaI80vY+YU8zMYR 4GwcTRH1TFg9m4t6Jqye54h6JqyeOVHPhNUz5Gc2/3iI8UvY+O0qxi9h49dc jF/Cxm+xGL+EjV/Iw2ye+Zf3sD3gI8S8hzjkvWwx7yEOeW+pmPcQh7ynJeY9 xNl73fsOhQr35Albj+Y3NTg7ZaoZtm99c0zgz8n0u7tQ16Z6ty20IlaBONSL jfjzaLemHsVhXB9NtA4be8oRh3EtbtPrhOVV+v1eGBfk5+ZLN14LMFVgv4Ab d193WMPYDPuF/LzzuL5yiIM5YevI1szWtn/cSI7zUjrwyWOhrg36BR5eJYV9 E+raAAceLvZfoC/UtQEOOgm+T1oKdW2Ag04gb1eOqPDMHawg7H3FLxalfaf1 N0N9Zr26WV+oOwM7WF8wu+ktoe4McPB/VuuXLkLdGeAQLzd/rX4s1J0BDvEC efunYtqBppnm/7PvTcvwFOprMH5DTu34Heuqi3bA/wvG9r5CXRjg4D/k7WEB JEbvrTnmGcC7DOku1BNhnnFumPNOqPMCO+CPer5vTf9cCeLgD+Tz5ya7vi/p YIb50GLsO9Wz4HL8DjP0q50R+/yE8XfEoV/I5z+KdLvP0JejHcjnrH3I2+y4 AGfH1Uj0R8n6U1/0R8n6A3mbnRfA2XnpJvJGWN60Rd4Iyxvkc1aHgLM63CbO O2HnPVqcd8LOO+RzNu4AZ+MuW9Q5YXVuIeqcsDqfJ+qcsDq/LeqcsDqHPM/m N8DZ/FYm5gHC5oEUMQ8QNg9cEvMAYfNAiJgHCJsHIP//P3mMsHnsX75FO9Ce E/Mt4tB+pJhvEYd8+0nMt4hDvl0q5lvEId9C/l96bbik9f36aAfwZQ71OzeW WaEdwH325S6wcLNAO25J3bcffEq/Hz45tP+iLwXnSWHO8n0nG1P84PtujpmT IshatdgjkSsViKc6tM1/8yiCSG2/n4p7LkcceDjetfnFxCYUBx5gXWgzom23 WWtpv4C35yoWuz+0xH4B79j2wfnRZhbYL6wXjmm9NsTFWOH8At5msOH1i1UW OL+vskfZXF1Ov4sOvF2cYt/jXaQp4sDbpqwSt8rPJogDb1M9Hqyxs6E46LBn xv7DvcfQ76uDDmEdGZm2YIxtZP3/OS+4Du62xbTMEuMFcI/rWnd1XCwwXmRr m2dOmiVF+zDehVyVS9wXI8RhvHcCzj6OqzRAHOIX1pGcfQs/DRxWH/MG4N+0 u9dXHrDEvLGz+NHvhaV6aAf8vzx5sm8zfx3Ewf/XD4o0s3S0EMd947/1JfvY ir99B9THfAh4vtSlbbddlpgPe4xTc/raQgPtgJ8m3Z2ju8+vwe/Mg5+w7rQ4 MKx6fbkl5nP87uLWhbmVThaYz5tP+pzXZ98ftAP+wLrzoOnJ1yF5tL3+BU3v VQNSsT34CesR2y9+v5Hp10m0o2TtwDrF8gM4y4+T6L+S9R/WI3Z+AWfnt7fI M2F5thZ5VrI8w3rE6hlwVs+As3reK+qKsLqKE3VFWF29F3VFWF3B+sXmAcDZ PGAqxhFh42ipGEeEjaMHYhwRNo5gnWLzMOBsHgaczcMpYl4ibF66JOYlwual zWJeImxemibmJcLmJSLmJcLmJVjX/p88TP6fPEzYPPxvHUH7YOe7uI4gDnb8 xXUEcbBjIq4jiMM6clJcRxCHdQTWNcPwZgnz7tgS9jsefeNanT47wAbb66e8 XZoipd9lBT/37ymVm/DnHfy9g39+NhmvuDb8Ev19B3bd+R5XcWr5cLv/eT/Y 9EXNjpgUG+QfcPcvGmsLJ1gj/0emODSY+dUU7YP/K7P+KkMaUhz8H+PxyCPS 1QRx0EmbjEN+L7fR35sAncA6ErhvmuuuSNv/Oe9wkbNcnjnZoJ7vFx353TRG inbw+yQn8hYMW2mMOIyr1cxdf4ZtNUQcxrW6VU/f4Sfo71xAfMH6ssjIvWzQ GzuMd8DPN/H6vHGSLcY74J+6T3/JZVljvButT+k3vpsu2odxtSuY/tzorhbi MC5YX6RDCj3NXtr9z3o0eOrPIcPH2WLeAzxoVUnnzWnWmPdcb/Ty/9uW/k4H +G8dkHaq1U0J4nh/7N+600/v0aEerW0wP7tdmv41SVKO39kDf/J3PrPfX1WA OPgD65GDR9/SnIc2/7NOtX1/rY+0t/X/rEdsv7COsDwAzvIAOMvDdNF/Jet/ lei/kvUf1h123gFn5x1wdt4ni/wTlv+GIv+E5R/WHVb/gLP6NxF1RVhdOYu6 IqyuYH1h8wDgbB4AnM0DSWLcETbussS4I2zctRXjjrBx5yfGHWHjDtYdNk8C zubJY2JeImxeWi3mJcLmpXFiXiJsXmon5iXC5iVYR35Wt0g6ZWpDGpDRV4p8 z5NN1Q1Nh3vQ70x++uVeVmp0ngzS2fj1bwsFN77DIdnTD3Ksa/Mleq2qzsu5 HoOnxK7pL8f6kagV2+aptZRzjb0cxraKMcO6tpwos0uaEWac3srCP2nW9PsS ht4HN3ZtYsa5ty3ufteffu/i3FZjJ6NDptysTiODtmcqsH3f+ICsj1JTbmnP Sy/deiqwDu7jp7LQK4EmnF9fQ+vmYXKsg1trtKBbcKWM2zJkzvSSCjOsg6vf JSfPbbGMOzD6YdTtiWZYD/h14CjpiGwpF/B00/mYGPo9kJE+fTtOdZFyZ96U nV9SrsD2C/suulwwxJh7lDk7okNvBdYP9jwyvtpEZsQV5qVFlATLsX7QoLTH gC6vDTjpryEXrr40o/WDw+13ehzQ55wqbl5Ybkm/l3JDK6dii7Mel+a8/vGa QfR7LC7vY3bXu6/DkfYjtq1fosD2Ty+uc1wzVps75Wg7etNhOdZXjl034n5x jian17xAsfWeGdZXetlueOrgU48bzG2S7Sui35Px+GCg8+66Orf0rsbDXYUK bD/p4N7em9XUuLCktf7bv8mxHvNSFCn32VqtuvekrFNovhnWjZpcvtLZv/CX SjbmR8e+G+VYN+p8dfaDgxMKVA9zVnlNb2SGdV79T5W9Tyl8qNrSwidD8ovi 47xHPUjwzFemL/ZtsW0IxV8ldFhxy0lKrJz/Xv5jIUf+N1qdGzDY0oDs43zV 8g/R772sPR/+OGKWKVneJm6pwUQ56uft0YzFVWUy0ln2M1Bdm34v5cDCI88X 6JmTU5FNZL62cqyLvygPcJm73pyriNk4Ye08+r2Ryd7LeyjUzDmbnD8VB96Y YLwYxM525vwUnFI+88gVpQnGyw019zazq+XclH7vyMuzMtT/nBEjm5n5yrmA 5YM+FchkqP/6R10a3uJ1fPrs9Y06q6Xo/8CK5I/WfFz5lzeMaehDv9NieMZm 17FgU+5z76Hjuj02wXG9GjXDxb7UhBsSsqJ8TAMT1Pn+6qiSM94mXEzyiSPz l8lQ5+7ny0+3fCXjLKyf9970SIo8Nx7n4npJKeP8vMtzw+3odxKSS1rvvvde ytXfeGxF7jn6nZwrLf1v5rSTckMPpDTLyjHB9o53jj/VNjHm/C7qvHtnZ4I6 /9G6b4N+nCEXfbt7cPJEGer88sEviwPmG3CfXi/s8nSPFHV7Y2CFjp1Cjys1 mK69sxP9vlDG5IlBs4N0OM8NNrLqYSaoZ8nieM2rf7W4h2UpVrOny1DPDQMt AtRma3LtF26xf+MrRT0/mRvd/MPsety0mJwRknz6vYsNjQanTQ5Q56TazU84 PzXB9t3e5mzJDJNw1yfNK5kbLUP959SvWpM4v0o1PSq6/wnef7wvmvgwfu+R nyqXB+tW7W0swzpu69Ld+9/Io1SGBq29pYOlWEdZ6TR8/h51PbI0wb15crIU x6XTJMMuYa4xcTDrGNcjQoZ8Bt2T+hfn65Mg58Svgdfod4d8rpYUDxtvRoKk ++yf8XkOdBJ8xM4x3dyU1E/dvsU3XoY6CQscOH3OWxmJDNv8u1Vr+j2ffjbp A7adMydZa8O83npLUf8zzW63uRutIFsz8mqKNspQ/yH6pxRl8XLSvWeHMO0z Jqj/i+rBVY6JZuRrmF9XuyT6vZ24gh6ZE17w8bUt/93L7fR7FDsXxPsl9jfn 7sk9RtQfZYT25/7q0KClSsHNO5xy39vUEO33WxbF7XJWcPLGg3pEpuij/YZ/ W06pvCjnbp1TxZbu0cM4qlx1Rm1aEzk3vW3HFr3G6yI/qVWNjj89bMaZXDt/ bLMFrTd/QLip65eZcZl2hRXvb9DveHgZREScemfKDRwxfZjjSCNsX5W6pzip hykX4595zO+zAfK5/4R/t4JwPj6jXYtfrtTHOHJaMGeDsZYJF/jxZV97Iz2M o2ddxz1uP1vGFckG7/c5roPz3uHmM92Y7VLulVHo7d+njRAfcOnuDp+rxty6 JwljNtcYoB4ccr4ZBw824tpuzvti56qPcaRtabr1UJYBl9VfsfpKlC7qLXdo V4PIZfrcNk0Xo8G69HsCza1WXQzX1OeafPv4cUcg/U5Lz6yJGz1G63J5a25O LgoxxPajT3ebbBOuzUUYHXg3ZIc+xtGMudYd075rcvOPLR17fq8uxpHt4S7a 3Q5qcAarVAYHM4wQn3qjatItXzVOu2TYQZ2ZBhhfw+M3TNmQWK1SX5jhsPyn LsZX7s+vx2YWFquGJrnavzqqj/H1PHz3vj6X1UnnwL5Hohz10E6Dls32rNfQ Jn+C9sXtaGqIfp7IPR50YZSUzDAvViTm69LvwDx9sfdgpCH5tnf1iRJ3Q+Qz uukcn+OhpqR7Wdib1p56OO/X4nP+dl9iQtaXtjpdv9gA5/3WEPfVqa4y8qDk +jKdQPr9lin28tNeBebk87Jt5+446qD+WzurP1ilb05iwq+7hXTVQ/1X9C/6 srOFgvg9/WI8ur8B6j9pwgediIFyMqTM9I7VGCPUv9PVc2ZTis25QX1uzArN pvXCmR/rH4jwMuc2Vtf//Xm7FtoPMdxq8+elguPiV6/tqdRE+85dJMdJLwVX sTRNZ1+hBtrP9l7cNCRKzjm37bar6JA6xsu27TnnX9vJuWXfDtoMGKSG8XL/ 8JcOe/+acntSHoW7H9BC3m7rZtyWjjLlgn0vf31ppom83fBJGRYSwZ/fmx5x 6rtdA3m79ulRmqamCbfoedCaOH11jIuYEbdn+rvLuGkrFt1rGSTBeeyv289J ESflrhQ/35yhTr9rMWV0QV/NPGNO7evsbZO6aOL8dtg9pEmGhxE3NEtz99sF Gqh/7dcX6l1LNeAOvDm2f+xpNdT/kcp9b2cc0uVklZMcyjI1UVdPDz36HH5L m1vsOffjjVgN1Hll16pfaR81uZS7aw75B6mhPstWv4kaZVWPc5m8Qqq/lH4n pNFjnxVuCWrc0Xgd+9uR9VD/+zu09n9yuVpVLj/QaXm+Gupfwz+93YfZv1V7 n5kMkeRrYL2/7cZ47xax6sRsknXi39bqaCd1WsSlL030ybs/LdbfHy1B/49f 1bhW7KdNCgr72E/dUw/9n9xl2JPAYVIyr8Pn4AXFashb4w1fd+01MCIDGuol DP9ZD3kL3dV5m90afdLIqM3XNkX0eyCP/N9FJm4xIwmXllz/ZCBBPWTl27W/ us2UtJ/23GncJHXUQ8mo6VfO7TQh561aXkg6Vw/1oH/jQuewPTLS8EWgfTd+ XwB6kKYMVEW/MycaCd/WeU6QoM5XyeJ6POPjy+u1MiqpizrqPGdY0xtfeygI 92NXRlt+HkDnw7fs7qq9UE7sDPIMDpRros6vP1SPb3zcjKx06N5NLY1+r2Nx 113eq/jzl6Parfm5C0uxfvbiuuzVczfJuV5/2wSeWvMb62fzktrtcs8148YU hYd5b/qJ9bNHrqWHdQ8x4TI6zam+F/wH63+3P67SGv1UxvX7KsnfYFqM9b8T BmcOWX9AyrV2vKujv7yK1s9u7jx94yZjzkrm3C17VxnWNYevjWmvlWHI59sz 8+KjSrCuef/iVjWBTgZc8VvLY9uf/sS65ikjdqeb9uXXs0ax/q3D6fcZ1i33 47Z10OXKXqV2L39ejnXZ4Udmn9C31+YObqj8e6+6hH6f4d7YwCBTTa5rh4ZX djj+xLrsztMKL225q8Fl7k0p+mVXjfhyydYnHwzVuAcRx9prPC7F+vE5nSa/ mhBZqbrEzV1m6vMT68cj4+/6uiX8VH1aZGB+O/I31q3PV7bKzayUkA9mgWuO uv1FO5vOWD/b+FD4vuXIrYtSitF/+8etZnyI1yIWM98kV/4tR/9v9Lvu6lpP Rj53e3nea+8P5LlTzYedHe4bk5dBnX61/lCCPP9Z2Gdp3AZDcjM5rEtFwwrk +UDDas2axmZk4fo9WpHqv7AevEPZncq7PU3Jr57lgTPa/sF68Ocvgos3TzAh yyrctRu6l6MeZp8d/nXEUhn5e+1O0PuQatRDp0PLS9dsNCcWORNXXuv2C+u+ U7vuvXb6gYIEjGg47Gh0CdZ9L39/efkLXQUpuvGlUZBDGerWclVyp/LBcjK6 eWTp/LBK1K3qqn1GZ2N+36X3w3Bk50TU7V9Ph8Wxz0y4+8lWU+eZZKKf75om tI2XmHDBvVYO2GD4Av1MKBhSdKu9jON+r0rfGbwd+dz0+6D+Jj0Z1//sjTN/ DGidfuD3M+teNJByH6xCSg4G5SLP2i9nFbWbb8R9sooNXFvvA/Ksfm9DWuJB A85Wcsxla/E91O2eR/rLU9rocanhP+5u7vAV572n1UKdsgxtzqllh1bc4wyc 97xZKQdstvL7mSZGYa/dElGfEtsG55rx+bR3vQHXZqbmoK7K+r7ucl+7WtVg fs6J7QOSUJ8qR10Dt04lygUTzlacqvqA+ly84YCs5VR1Msn2zbE5XiloJ/KB RnfX1lXKcUPffWub/w3t5JWvbzzfV4+4VLSf03/jbfTf4ctNxbT32sR1obdi zaUs9H9a8l9dt06aJKNh5cjTVQXo/zKvaeEp/Hm8xcaC4y9CXyKfo7cUfN7v ZUTGlTi6ZjplI5/XRxsFb5psQCzOfnZ/c+wb8lkRuCK652gzMlzt47IKrxjU 87qaE5E315kS54bHZ6zJTEY9a694HtE9yoQYqOX+td71EXUS+qP87PUMGfH9 WX5ztXM+6iTtwbBBJy6bk9VnHRxKy6+gnrMmjtvVKVLO7c0Y71d66jPWSfmU 68T1Lzbj7l5LaXbVpwDrwjSC3AU/uU3r9g+QTI3BurDl+5wEP7lOhYeP+2Ym Y11YwRkdwU9OKz34gM2uj1gX5hmXfob3k1vU596UNc75WBem8+HrMZ5PTs/p ZMbL0JdY1zZz3I9PPJ9cz4+vy3k+sa6N+60XyPPJ/Tk7QSv12Dessxsw+lMj fn65W4Nmfhi48TbW2W2Kn2zGzy/XNisjgZ9frLNLsnuryc8vF3XxRDU/v1j3 F7N7vTGvK+7LZLsvc71SsO5vgPrOtryuVFmXfx5tl/8N6wrfWOzzDzItUf5O uWu10/Ej1id2d9l+itc5GVFpQGal5qCdUoPETrzOlQELzf/sHJCEdlZ9ubuE jy9SbqE3PKTDV/S/TesNWnx8kS716w29/TgD/c9Z2kuIL1Kpk1ea6paI/q+3 NNXj8wBxPZzavtSA1h1XHwrx5/MA2RS7I+BQUC7yXNxd5zufB8j8Pfsu+NX7 gDx/61X2ns8DZH+Q+bHtxfeQ53btK1eqdzMj38tje85/WYB6WL1q3pSwjaak 6JffhFkdclEPb1+HB5eEmZPvKqukkrkFWN/X7JnaHz7fctvmpz/h8y3ij1e/ u8LnW67w+/fjfL7Fur95zaOX8fmWG7xAspLPt1j3J0vd1JHPt1x4kWz4grBK 1PPbAaQev17weps5iV8v0M8dl46U8+sFNzP+Ujq/XqCfgxRVP/j1gnNvU+rB rxeoW3XfSV/49YIbc6pnNr9eoG4Nm14Zx69r3I4hJZKpe38gz19dg0L5dY27 0NptcJsPJchzwrST8/h1jbsvvbOHX9eQ55VLtz7g11Ou4djhX/n1FOd9q1Vv d3495Q69HNex6m85zrvz+Oh3/LrMtZKMz+XXZVo/2zr//CppvvKmpk6XX0eq UYcZv2yWeYwuU84aPzKgKKQK9fbT2/IMv38gl6cWOhTbVaN+8uvtucfvH8if t4YL+P0D2k8c2DCJ3z8oOw9rfZXfP6CdeM2gN/w+hwwu+HGD3+egTtrbbUzg 9zkkwWHfan6fg+OK6LzhCL/PIc2n9uh6v7oEx2U/at16fp9D9h/59Jff56A/ 7W90HsTv08jPWPOB/D4NedZfcWQKv08jTye39OX3achzzPLHrfl9GjmnrYzm 92nI84Tlfyv4fRrZGD3qM79PQz/tBpb8mrLVjMSqOb99WEjrYRt8TWlyIs2U GP88cu9kRCXqp1HIZdecZqZkTpZ2rN+sMtRP41a7Q5r4mJAHzxcem+jwB/XT 5OmSW9PvyIi96l1ox8+/UD8BoeW2t3PMyYUzZ3zS/Gk9bEC5/agRo8xJRFli wvLXlRgXATOGb8xUKcj5wRnVpi3KMS7cnyy+we/buRvtP0fy+3Z8jxOyN7Qr v2/nzmpWpvP7dnyPE+d5No7ft3O735oYtrOqh+9xPre448zv2zm/iObd+X07 vp8yK0m/zO/buRlryRx+347vpw73nRvBn0e40GOP8/nzCL4vSz3aoTV/HuEi Vwydyp9H8H2ZSXllFH8e4Z6PeP6BP4/ge7chY+458ecR7kezkeP48wi+1ws5 MvYBf27iFJdSr/PnJnzP6GQ7chN/buIe+n4r5M9N+F5yRM2fdfy5iVszpMau bRGtT8x8//Q4f17j4vwCr/HnNbwnE7D38Wn+vMY9sQ+ezJ/X8L794uQvg/lz H2chm61Zxudv0OHJ80c7NbX4ptTV9TLR/0LrQ0cObpG7xblc+S1if9qaQbQO dPSzZyf58ymZtTKpGX8+xXuk5d/fz+PPp6TVILWe/PkU7fe2ezaPP58qi6y6 jubPp2jH1fvxc/68TNZoLerDn5fR/+2J6en8eZnMXBpYzZ+X0f+kBj++8edl Mib7UDx/XsZ+9wQsb8Of60mKff+z/Lke37f+PZvbkz/Xk4OXd17kz/XI8/0B Gbb8uZ54umTE8Od65Hl33uvqq6kGpElK8zj+XI88P3+W0G7vX1NyY+J1zv2A Fuph6asvt6SjTEnPqfZ6r8w0UQ9Wb8yGhESYkNtzQkf33a6BeuDe9XqnqWlC +iz9czhOXx31MC19/nR/dxm5v8Yjt2WQBP2f3UYlm1JsTrYs6B8cmk3rQH13 T9wb4WVOpk7SNsvdroVxsb2sxOrPSwXp2v/BkZ5KTYyLE+47jpJeCiJzCmq+ r1AD4+LqnVb2IVFykmfb/3LRIXWMi8fNks6+tpOT23raygGD1DAudh9dG+5V YM4FmoS9v+Oog/7MtdFJXMXH45Z90VtDuuqhP30P7cjeyZ9/d1rf7z26vwH6 Y2tZXyNioJw7EP7+j9UYI3rPfHqjhcdDTTm1x8f023jqIc/jKqp/dl9iwq2w OvKhfrEB8tx4e9qSVFcZVzTr0EWdQFoX1vvQeL8Lo6Sc24bTIxLzdZHPP6Ea AQcjDbnxNnczS9wNUQ9eW2+sWK+hzXV7YSHZ2dQQdfgpy8Srz2V1TnuYvka0 ox7qreTUqmc3V3xRFrt3DNny1gj1vFm+5PoqaZkypc+6Nr+OGKH+NcqblHU9 qEHGDLvQ6GCGEeq5+ynd4bd81chtEhKtM9MA7X899n7ghsRqZWun2WT5T120 87VdYXi4pj753vt2+Y5AWj/YYF/QKo/RuuTi1GXLi0IMUbfjKhuOtgnXJnMD mv8eskMfxxUy5UbLtO+apMWp9IXn9+qiPzvdbTRjtkuJ2fdfH36fNkJ9ztj/ aZPPVWOSXXht4eYaA+Tz/JIt2sGDjUhU4Zp6DVz1kc/CYR0DD2UZkLWFvfZf idJFP9u2yKgXuUyfDC3UajVYl9ZFrnm9y2P9Mn7f5RxskXaD1g/+XRJ55tQ7 U2JUvWiO40gj1OESk4dFST1MSet7E2/5fTZAnRRFfepUEG5Chm/pI3u1Uh91 Mnt4tZ+xlglZMLqVt72RHuokt9Aiqf1sGdluJb/mc1wHx2sXeTBtwgtzYh9/ r/Tldlo/uPtb1zWJ/c1Jx+Lt8+uPMkL96zZPs27Jr1/9HN0+e5saov7XTl99 c5ezgoyb4eAWmaKP+i8+Ud+98qKczAj/9ap0jx7qf+bH69XeTeRkedrNgb3G 69I6Slu3o08Pm5EQeTC32YLWXbYfod572zlzrvWQh75vvaXoZ8X0ec3uRiu4 A9Hh9X9slKGfd33fGpXFy7l65qvitc+YoJ9bd/cpcUw04+avGTXeLonW0Rjc a/tt2Hgz7mNMda9nLlL058fDHY3TzU251NTs877xMvTn9bNfk+a8lXFPKu+b Oram9UFyFxPNhLnG3KyOGmk9ImTIc9Ld5l7F+frcuBaexkHXaB2TrMGgPnvU 9bj7W0+MTU6Won5MD4/tukC9QumzoFXslSxaR5YT8Esrde8fpbvT+2Hn9ppg HLXsP8Hyw+x6/P5900RJPq0LG1Cc9nhygDrpdHnMReenJhgX04+6r80Mk5Di wgaSedEyWqe2L3FK4vwqZaRD4agTe6Ro/1CIYaWtQo/cydU23dmJ1outsdBd PTtIhxw+YWVTPcwE/Xc/Va/8Cr8PWObp6DB7ugz9UbaXrFSbrUmG2pB2b3yl 6M+51bu33nsvJQP9+mzMPUfrxY68sYnLaSclMrP4jlk5JqjnJlOH3dE2MSbv zrbOfWdngjwbWU5R9OMMSXiPk3uTJ8ro+vhsyayA+QZk9ivL/k/5cYH/n9fV S7e2NiPfHkWrGvrQerEnc1ZsPRZsSp5NMvLu9tgE9XB5bIHSvtSExBTM1hnb wITuo5SeP894m5C9vg8uzF8mQz0ENE853vKVjKwysh+56ZEUxzXXdMCYS0oZ cT/qXxJuR+vmTCL6kbnrzUlVvmrG2nm0jkwzb2IXhZo5mR84Xu/gGxPU/1/7 Be05PwXJbFR04YrSBPX/bcqGlrOr5WSEKnD4y7My1H/mkX32Zr78ejfJ9leB TIb6f5UWYXOrwoy0+3tlt85qKfLQ+tWn+01/K7i3B99o+ArfZfnnj987j+cD suTcyS99h49dpUB/XmSlpc5+YsYt7HDloOMNWo9gPNvrVsQsU0699YR9BhPl aH9J9z3eVWUyLjs06by6Nq2zODdor/ctJyl3rpdO5h8LOfJ2fylnPdjSgDs1 pn/r/EO0TiTi/qAzE/c9Uf0+OCS1SYkC9axu0GyF9+hs5cl7rVo2v0Dxzcrr 4QPsKpQ2L0xv2uXTuh6/ITPfrWxeqtx2pMJ8/m0F6rPrq1PXHXzqkR5BA632 FdE6HZeGP/68va5ONLI6vNpVqED9D1vYtf1mNTXysHODzdu/ydF+1FrdNJ+t 1cptO/R7h+abof0eHWYWbnHWI/Xfd3uzZhCt03G5diOw3n0d0uHl+IPrlyho PW9XWYM1Y7XJ0KQl7psOy9GfETenxRfnaJLpqm2Ntt4zQ3+2HVPTG5EtJcO7 jb8aE0PrdOS5TdpM5fPd3C1q15aUK1C3ncbvPlswxJgEp0dc69Bbgfy7ZH/4 ZSIzIqdbj4srCZYj/yPmNenR5bUBSfSTxF99aYb+u/2dF+RxQJ9kvjgfv9yS 1iXJdtr5d21iRuZZXh9415/W6YwcleBodMiUxJW57N6eqUB97jAZm/ZRako0 3j/LcOupQP28fFW06UqgCRmW4Nq8eZic3t/etdk5uFJGDh7MXlLC6xrGO3Z0 kxy3xTLyZdXcW7cnmuF4K9XNpLmbzUm684EXU5bTOp2Gv7ZoKqTmJOjviLuW eQq8z9b3o2ZF3z0K0i5BJ+6lqwLjYvaLtT+WWSlI2mouIvihHONiq6r086mj chLYY8XRXl3lGBexkQvTXtvLSduaNrvKzpshD6lh+S80+X+ncV8Co+vT+qYe NzumTkxVcMq7WTvkEy3RT4MlB5b3OCbnnlmZtzK8Z4V+nqrnbrOiuyn3xyPs YdJWS7SftFVywDtExj275dFFb1OdOhTNFroLio2576uXbDznZom8jTRSDTyY VKQyPvi0+6zJtB7BIN3eqNGsFNVUz8UlNeutUOdfhpabXJqUr8xp8Vr9cgxt 7zIm8UDQ0Cylg5rv3hOetL2bR5Ll5W9lysse667O2kbrFBJCxvZcOfaPcnin 1yH7N1ihHav6OwJm8vt747c72r46SusRDMq7hBeOVyeLLg1cNyjWCvVW/Tb7 5uJECUkOVHuVeN8S7WcuML9SNKFa6ewe36jbewu0/3dOow2BjvqkIKty6tb3 tO5gy593M7690SWJP2fkx5rQuoMG63YMGeGvQ/arJ89/N8gK4+Ky/sB2V5pr kwWmPX9Xr7dEPwfslSiskjVJP/tzK+2vW6Cf15O2JK2MlZKmFYb6Rmto3cHO pcS1pbBO7PdI135uhTp/TfKex8uNSZJz9CW1RlY4X4H7hxdZFxqSgynq6yuW WtK4/nHVyP+uAZm7eMyYkgcW6H9ef9vWnw7pk57S002LrGj9xbaHS/dU+puR lURnwstvtO7A2Uz3SrdqU7Jj3+azfUfTuoN097CUVatNybnvBn/jE6xQ5wHn 2v2O/8ufE/tu69+a9xN02PL3PdOyZSbk3WHZvuPBlnQ96jnRqXOxjPwq3pWr +GmBPKwM/j5q+UIZ0RuscA5xpfUaC83nG41NNyexHreLQlNpfcF9g5Hhs2ea kwJfu/oOw2l9gbV6hw7+xQrS5LBvP+6+Fd7bX1yqeLBnrYK4J6QtmtDTCuMr qaBsQoSugux72yXs1xVLjC/b7A8F3G4+//7ZlxTiaIn8LE1V+b3hz5V68j/F 9qcskJ+HT46bFPBx7eI0xu6WNa3vWB76rOmpFDPuz5Z5LXfH0DqCWVHrpu8f YsaFNNPhho60RvuvZ04ZktLDhDNa89Yp/Zot/Z7G83thQQMNOLsLqc/v+dH7 vdHFt4YbPalSRe145NB0OL2PvVk9Oa7z3Hsq44VrIgw729F6n4xvq6KyPyn3 Pr7h6J1ri3jNhrcv72pWKHWa9g2N/EjtnA3rn3XqVqnyXfaqdj8K6P3wvGZH H8tm1SNz79/5/PsLvY89a/PC1bd/qZPju89OOWRI72N//dar5aI1auStV2h6 LydbtD93qGlaAy0JMWq3eEKeqw3aT5v8UB5uV6V0qRn3eutaev9cv/SKfMcI PaKlsfP9uQn0nnYn3bg7q6S6pCT7ZotfR2wxXqbWT1jk/UKb5CTmr+qaY4N+ bnO8YTdsuxZJPi5/vL65Dfp5XXnraacRmiRxfa/6j+fT++ea2/2bzPkkJceX 5hdWxtJ72iuap3sdGy8lZx38r3yW0nvarzcuIRH7jEnke4Xvs3m2qP+EuFbX 5f5GJDb0osu1RzY4j0e/fe7oP9OQxBEXg2MONjiuINujUV9HGBBV8fvkTQHW OC7r18sCd7YwI306FPeQBNF72ua7jqxdHWlKesx4ernrH1vUs8nIBz7e7U1J p4NnWi6bZot6MzT+MX/oVRPS7um645dSbFBvOk8tZjh3NSEtJW6WX/vY4HjV Q3p52N2SEXsn5+32sdY43qoBs8fr9JYR2+lSbY9G9H578Kv9ib33mpOjJW6d TwTQe91dlNdubWxlThIfvo7tp2uH98CfhB+9Fmhjzt3t3vXNg1IF/r5tpaqp c5NTCu7M5vVm4+Yo8L5r+A7NoiNqCs5S5+3thaMVeB+v4n1Gj86vzLjA9hu3 z7xCf6fv331a7gRznxbqTMu+uVqkNlfg7wK/aWscmjPLnIuo/Z10Ofrzw3qA cdf7CsTBTvM9xx/x+0+V4ZzXV/j9J94PMX48VrKqeanKKqq5lN9/4r2UmTte feD3sSrvhZFN+X0s3kvpLd43VrH3jeH3tSd8W3rnTDptv0a0o2Tt7BPvMyvZ +8zwO9qsHSfRfyXrv6Xov5L131q8X61k71cPEu9XK9n71f/mi1gz81Ulzhdh 5+upqAfC6qFK1AM5zehhsFgvQMYx9QJ+Yr0AYesFYsR6AcLWC+SK9QKErReA +gX295f/6YSwOvkp6oSwOtnWfpDnAvUKVeUXWcSVLPr7dw65C1uk7v2jcv+g 3e/cXhPk7cGiBg/Gfc5SNZYubPTAxwTvO23/cDR4k8dLlYWptUPsdYrHibiS xSOPNLnoHZOlHP9yRPMJCyh+QPRHyfrTTvRHyfozR7wnrGTvCXt9DvywSlqm ktxeYv3riBHiv2XDWt1a8UUZXdrFf8tb+ntVRsZBHTYNfaGs7DJk+wlPPbzf NVe0o2Tt/BDvSSrZe5JDfzTUCHUuV82Z1uT+mkH0d6ysQlO3C+8Fzh0w0tL/ Qn8vJu+tzwfvmBfKxtLwphMWqHPwPm68aEfJ2jEU76Ep2XtorTfe3ewxukxV FvxxRFFIFd5n6CziShaPE+/zKNn7PI+6FsxbUM+cM02eu06Wkov3WPZPOrE3 0FvBFV66O2p3TRbeY5kXbhTzJkbOJUzKXZSy6jPeY3mgvW37AZk5V0Tu1dh4 vUQ7jokFo5dMV3BLzhVxXz6kox2rzLa7O0XKSQvryvQ/p6gd7UHN4vsXm5EP WX8CrvgU4H2Y7I1vhi/mz+dft5XeXDe2AO8tFD7cc+R4DR+PV34cdjlD/f9r OLbw1VQF8UrLX61dRv1/fSVyXJ94Pu5+a4/stf419usS03/zGX05WRZ32dcu 9jb2W3G5Z+24nFrO6mzn9RLfrzW451U7ridVD6ryPqTje+eRnwcK9rm4Yz5r eq9/je+dB3SyFexzSzp2SW8YexvfJ/ayzxvGj4uz/Hl+2Pqx9D14a6fUMH5c nKWDV5u+Z3KxX+ve9wv4cXGWky2lOmVZ2O/z8yZFvW7KSX3teyWvntB+//lP nBn/G4r+k8+M/x/FeyDkGHMPZIV4D4QkMfdARquFzhTuiVXvrBrE6wrfL6eI 75dV7PtlqE/cPGNbs9OSKmzvE63tabnwh6rf8uSCmppSxCeL9pWs/WsdHGXC /czb7hM9+LjA9279xfduKva929HydnZ83KnWKTzb8XFHwM528f2din1/90Bs r2Tb3xb7VbL9fk22WS3co96ZfrIDnx+wX3/xvYaKfa/xY17L6UFDX6iK+oTu 5/MP2vkovh9Rse9HLObXtley7X+L/SrZfmU/d+0Q6im+/ypex+dJ7FdXfA6s Yp8DvxefA6vY58DBbTYM4/O2KmhMVGs+b6OdG5pvngbzef7l2ZON+DyPeH2x XyXb74fCQAOhHupvdpfu/HqN/T4adGupUA/Vsnj/LH69xn79xedpKvZ52jLx eZqKfZ424NZL/+v8vmXJrcON+H0L2rHe5Hne4sljVXvbdNVCDfo9n+/6tc/x VOxzvKQevSTJ/L7Fvnx0Fr9vwfZuon0la79CfE6oZJ8T5orjVbLjzRDHq2TH qzBrfNdh7i/VvJS0xSEe9HsOV5s8H9J4WoFKZr+xxsyefs9hlPh8Q8U+34gS n2+o2Ocbibo3RmoF56u4sq3vI/tROz6dsi1Of76v2p7/d9Pl1xRPFp+3qNjn LW3F5y0q9nnLfdGOkrXzRuxXyfbbQXzOo2Sf8zQQeVCyPDwSeVCyPEwTnyMp 2edIY4x+fx8fbs6F+RT0ms+fp+D8vngR997aS8GVq699l55tg+f37tc3dPPO kHP3Lln+WLrBBs/LD7p2M94zW87lWd7b4Vppjeed0Qm/su/9MeP0AxY6dV9m jecdbXvvXb1VCi4m5XfE02Bb7Hfd+jn6V0cquILEUYY1urb/850Zti61n01V bL8wc+7/6rryuBqzN56tEHWr273yo2yVaZSI1Fjeg0xFKrLUWFpMpjFEIWSQ bFmypkZDxhJahrKmmt63W7QoLaQUlfYVUdqk33vvueec3+fMr3+/n+fzvec9 5znPeZ7n3PM8kTL/jeAuQ0xNL3aKMI74d7d5xrUsJzjiv7DolNmL5lbWI/G5 xKZ6NI5nY8c7i+dsbWXDhDOaWr4Q/GHh7h2S8I/sdu2GqQNKRmG9aoNxOkvH 6WEwTmfpOL2f9nmJsKWc3eJmpOx/hLwHLxkjiJ2Q9YoNmq2iHRhB8NxVRRdm 2Ueyg+6bRrjPJu/KjWDegKXzBgPGyngYmkewRsbD0DyacDwMPR4U1wwu7Pkj QEzyFQlwfhh6fjg4Pww9P9fgPDP0PKN4h+afDfUNpFL6lgH1DdRS+rYc6hsY SumbXM9BGKXnXlDPQQ+l5zthXgjQeaFhsE4FoOtUXIB1KgBdp0If1qkAdJ2K oLVlqydYi4BqgZeC+XHCg/C6LvuXUaOI/reZB+gP10L1McQ4TvHvvpG+0EMT 4yieUv3nya8Bj4QYR/HUWcjPBdV9PXx+F+FB/sZn89fNW6eReDAjNyHDMeQD i+IjZJ9RfYMjTkJp/Tcsj+ob0DxvIQ9D84xbbqt8RILmU4zjMjQPp/sY584H U8ovlpO4xsYju8PVop5VCljwrLeX4Gg8tLwLlGdo+Y0V17waDD6zT/94FNHb S+IX9L3BQYcFI6+SOMgHyjO0fMKEuWkRC1vZvbLvIvEI4qmwXmO3N4/ENU+g PEPLz1uYf0Dq722U9b9ux/GIDcQZGheYxzJ+0WJuU0i9Vm9vGfb/DXQbkgsG Exz5txZq4y2+dxdhHPm3ch7QBw+geRZAHkDz6L4YLxvPBjUnPQWFcuy3A3a1 bDwIRzw/RZ2fLx0Pwike0AcPoHlWQR5A8yB9oP1qP+hXM7RfjfQtN9c7dmgR 8Xu/6oYel65v49TZlfx6YRzx0/KKejJ5hpZH/FefF9jYrSB+bPyeMdpSPTSR 1ZdT/le9XFo+FcoztPzSLZVnXfh9kSTwLuX1HPuZSA+dBXbp+oXEL10P5Rla Ho3zuwI9RZ+FxH8btWV+ykrePrhllbzk9zWg7cPtbUMd41TEGEfjp3mMIQ9D 86DfrcsxVnp6mfgtSc5BhV5lDayibP8S/wf97sULDfw+Hfmvel80Tz7kYWge wxcVvk/iST0i5Fcg+6lO2W2EN1J2G42/eo2XoUMkOZfHzJ0gPDm2lUV+CMLR +B8vK0z8MJOcg2j8NI8B5GFoHpQH65lZ3vHynDbO68r9JUD7S67QXwJ9+EuA 9pcC70/qCT4j5sLz1+ob7xPjfGzupPzVc4Ri7niJlfowDWLPsz/5KeQfz2S6 NpUJZ/H7Hq1vQv9F/tsNshjPyFTnd4oEl/ODPvgBzS/PY3N95LE5Oo99snPz mOpZYu7vjQlFYZXaGB88r7tg9opcdg9ond9qTOZf7q8C2l/1h/4qaKT8VTk/ oPmFsA8yS/dBRv6V88fTu+uf9MPnAvKLomKG/c7jOL7uWLPrTEmCmAu6a832 9pJ8+B44zyw9z7/BeWbpeUb8i1xj+POR/K7bc0Gzr6CeNVNoVv8U9g2P0wfi DI17wj5TLN1nCn0XPf4ltqEB6ssl7NRLF0ufRZC8wRWIMzReDO/LGPq+zBiu F0Ov1zbv5M3p68XYr8D1P2FekaXzimeTDtYecU5mG9NXfncvgeAVEGdoXF4P h6Pr4ZhWRKudnSDmho2yDx7zH6Jvfu0Oro55YgDXi+zHyae7/75pTHAkL/eL ONovOimbz2fMH41l018rkXVE+52+H5HrCaD1BK3LzTOHPCIL/n3v0Be+dUqY u1YwyUsr7DUbHZ78hLEKidJVfUbwmD0ynKVxZN8muUdIzx2MawUq9g/tecNu kPkzqtiPQuPMb9WZtlKZ1LVA46FxN4fn3jlHG1jU1x6ds4hnePqMZ0q1QzCO eGh8GOynyfXRT5Oj+2nOhf00ObqfpvwdGUe/I7NRW/u4946Y85YU5dwyKMb4 krV53nPUxdwCblJUlkM29q9qAicn1/L8b0ZcX/fXm+vYv/oZ9r3FfTxxHXXY 9xbjKA+pl2Qqe9dmFGXT2d31APtRHdYf4vjxgKTNgV0RBsWkX2H9Kel4QN7Y qUo5DtnYv2qqHy8dDxCO1f4c8eY69q/Q+lbrJUj9W7x/E2F/KJbuD4XW5VLA +x7/riGAXpfwP1dL1wXjxz3jQsf9msrknUhv7fUn+b2ZEGdpHI1nZIuyGu+3 YzwH9nlh6T4vaDwLQpsn31EmfQrQeNprTKav/B887uSXzHzNGKZY8U93wSKC R6ovc7MLL2aGh/7IXlQh+Agoz9Ly/lCepeVR3oM+x+X2hOvDnnC0PZkD7QY7 yTvhitiU2Ekj6OcA2s+R2zFA2zHEQ9sfZJduSjx4+0Ds5Dr4roql31UheXo8 L07ZjrPl5+Fo9uYUfh7wvk6E9W0Yur5NN5RnaHm07n8NuSDtN4HxGhXZfRZL 32cZaGzwGMPrz703m9t5/SH2AeIMjQ+sdNC6kfyA+XPpj7x9I98rv98BLdT9 jhG83wEnqPsduR0AfdgBMJeyA7XQDoAJlB0o8502fOs9MXi85JDft94czCPf 7xy93+X7mnv1//c1l0vta7l94Gj70CP4MIz/Xc5imvJWBYVcjKN9JBYMWc+f FziOQHi0WbT0fAH0+ULjQTB/ztL5c9fcfrrX+PPl9lgfPf58wXgsxBkaR3qb 5ZeTV5tGzh2Es/f32tnuJOuLcFqfEa7iydjz8oCWn9x1UMpP+phEV2UHh71j 8mPTfYLHE/+qyVMS5WbxmomW+dUE/7lCplcsrVcKCiDgiEYbq6oAzp0xfIf9 rgfwfTdLv+8eCuUZWj70adoAqXz0lvZlN3ve4P2YBd/hsvQ73OtQnqHl0f6l vxf7ey/mNuuHknm2sf4y9kZSLWu8plz/YxO5X84DojIrnUY21cz0rk49Oa/B w+5o/Y0VrMgqdvtxZ2L/L44UFWwpK2ZdZXEiwZ9en9VTWF3CZvy2b6lkMLGf q+YPag9908DOT123/1UDiWfnHBvd+L4rk+2n0qo9eSC578gsGei2orqcWVz3 Vi/Nh3wX0s+wR3rS78J4m8R/9vETnxnUjx77vbL6ja1MlYHHVb9ZtRiPbwmP DX/9mTHPfjnOcMl7jJ9PaRqTXCXmxu8falLi18ui/zmIOpsc7JeKuYm5Lj47 Cr7ifR1i1Hy4jBVxRjqPHmsYdGH78KTYTvBynIgzWC+MeXa3A9sHE4nWbUdH Ta6gSKD7cB2pq3D7QP62mBNiDty8e2jUSFK3QdD5a0b/YhG3/UBoeMsqUrdh 8kO7cBc+zkLfi+StrwboP/wkwjiSX3cyOULZjuBoPCheHhLUGF5t2YLx9/2P H2u7JOZiM0xntG0k99dFi0b4NimIuVQNk6h7NvWYP1TpzLJjPP+102PvW6YS frNBQ4bsjeTPwSUbM1W1KzHPo0+ZP74+psFNjDfynudeg+sDRAvmrz2crc5F PXHaIdlfzpI6q3VOB5rUuBXZXy+XPqjD9QHS/pPzg91KIRcR2qa21yQW1x+w j1e0sj+nwQ31Tw30CcnH/FazLStvPNTEeTY0/6++uR+sGkRw5Kfp3uosybUT YhzxV87bF33nlAbGEf+5/j7Se23OsOKHzLwscl9fWTTnp8vKmpxkV3iIkn4h 5p/u16IymtPkSk+cNYjvTsHyrt863HwNRGDlw7Z7NVvasf0P6djtuzFAE0R8 dMwK/70V33dnf/p2Zm2NEHQbJFb9HNCC77v1HgQmuZeKQFOgve8uS/IO/WK6 iQqvnyD7bZhi1t0OzN/cGR3F6yeIbNfYw+sn5n+sO3qKJEwT98XG/xOonZnf 20z6d6PfRXnjkV8dY3i9wvwTg3297j3n922D9VFP9TL8vjjunYu0TghQ2cRu Ozg8F78vtja0lNYJATs7bQfcOHoav5ve/lOcdN2B+av4Sn+TWPyu2cPpuiW/ 7qB46+O0HSH5+F3zKn/fNbxeAZea4SNS9pfj3x31Q6Ijr1dguYmDRdmDOvy7 nyMdpOuO85aIP2bB6yh+3TGO+I8euV3B6xXG0fxoWWcf4PUK47iur6TjrZmq JlisN2KTg5kE4wHLJVJ9AG+PDAxJ7E7BPDoVmU68/oCZtyvyB+sXYvnE5kSv VV+EXEld+bYeJ/L/E68DcXMGD9DkflGfsth2VBXGnXqMl1ZFaXJvjYDjMosG rG/Vo/Wl/6sB612uaKi/JP/fiDwvkP6vBpzSyKkJ6iX5W7X+qwfz+xq4Oets EGhXYn9jf6fuLt4+gOsDNy2+b1OPeQamujjw9gGcvHrJ0SqV9FVH8XJh62Xu i2U3fj9+522BzX4vMUB5YMSfmaGS8ypbhHGcr1Y3ZLpPicES46QsdiipwzCj 4pYwcZ8Y3Ejod8czog3jhkdN1gXWi8A2L5P0oKZPmMdCpUgx3lYEjpW+TVEd +RGP86uJ+ZYLJ4VccB63N+t9L57PaYf2V6VVa3AtV3651FX8FduHTa8yHL/M 0uBsvFUSJ6Z1Yvvw6IKg/R9vda50CWMTUNeJ7ZuLZX19nq8al/b7laN+m0g9 nxSd09nx3wu5q9ObhoeUthD+SV3nz63Q4KaHL1WzTW7D/K4DxlsVTRdiO4/k dcJujXi0XQPjSF6wYlrm0dlCTmtg7Cyl+iYs7zdXNUH7kAb3XYi5xbTceiyv efej7fvFQu5+3orpHXsqsPx/Adcpwmo= "], {{ {EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJxNm3n8VdP6x885e++zN4lK5llEuKYMJY3KPCRRuZrJeAtpQJpE5iFTJFSS kIwZSqlUhlCGXHOGCJGMGcrv8+7z9PrdP9b3+eznrL322muv9czfnXr0ade7 UiqVPkxLpUR0U13UFq2flUpjy6XS3WqN1YZVS6Wp4jdTv55FqfSKeD1Ed9FN h4m/kfAc3bur8CXCp6g1VJ85eam0Urz9hLcUvU30lrJ/66I+C0T/Lfpi7j6z ROvpel/hXeGLziz7eqjaIWrtNM5Xoq3UzhfuEfgC4SGih6qdJDxMtIlae+G/ mLtwd9EVovuobS78RfSnz09qBwgfJNo5nsU440S7lX3/hWqHxbNezj1+fa3B lcG/UPzLRXurNVf7LWhP8V/IvT6dtbZzcz/rJa3Zh6IHq7XRb421zpeJ3q0x 9xW+RPgG4SP1+8Z8B10fLP4g0dHi/1fjbCR+V9HOaoXwqaKbqU9v9blQffrG /FO1N3V9s/hN9PsfmkdX4WPF21TX/xHuI7xM/b6MtTpA/EtFbxV/T+GLha9K vOYbqmVqi9SOVqujdpaePZb9JPq73u0A4Uv1He/Sb6NZW7V5aoNjX83P/e5/ qO9uGr8/66fxX9I9G4k3W3Rr8fuKP0D8nYX78Z1jzduoVdW2F/8i9p7496kN F95CvDUaf2/9Pl30SrXtha8Qnal9/CrPyv3desY33TAwYx6lZ58u+o/6XFH2 O/O+e7Fn1b5W/4tYJ7Wy2sTowzgTdU994QmiN6vtKPyD6E+a00f6fYPM3+5w 8d8TfTf3t9286v3DmD1iz/LtSmrjA8M/WnM7Q/hH9e9QNq6nloi/u+jvGq+R 6HmsrfqfK/oftT+F26rPJcKbivZh75R9PsYFZnz2fufgn89ZVVtT8nqexrNy n5sucUbui/7rzot+20X4XtGynrErcxd+IPirNOcBwluxPsIz9C1e4ZuK11/4 eeG+wr349uozUPiMwv37CU/UPTPVZ5D6Dtf1dpwL0WvVXuLsMIbwv8RvoT30 nfq/I/5yniO8UHi28GvCrwu/JHy1+r8gfJnwb/o2XYSP0j66JPcc7lffW4R3 Eh4l+lxuedZMfZvrGZpe6U/xHlNroD5TRO/O/U3GiH6qcd9Sn4eEB6k9Ktxc vMdzfy++27TcMulQjXmH8M7i3y76rNoW4jcVv8y+Eb5TvKfV9lCfJ/gWmkPO nkfeqs9pwi01/5+FOwsfnlgWLY+9enRmOb+j7msrXEd4D+GThTcV3l+4tXAt 4brCe2rcb4V3Eb1V13sIvyZ6klpN4Q6iE9T+JfyB6HFqGwmfIDpWbS/hd0Q7 q20s3F30TsYVflP0CLUarLnodnrGhsKHCTfUHLRMpb2F39O8by1bd5yj9bpR dBfRIepTD7mkPv2FdxIeLHyQxtmtZBmb6/2PFm6YWPavKHmtz4nzvEx4N92L LtxafzoJ1xVuxDtl1o27CG+tMTcoeV8dLH6GjBR+ReBI4ao61lQ7hnu5KTF/ T9Eb1Gdv9gDvLryv8LPCtwrvI/yE8H81lztDTo4Vfz/0hvj3Ce8v/KJwk9w6 Cpn5ilojzqXoFPU5RPh94abIVfQe+kXtUHS05vAs+1X4e/Hq6Po44afFa8Q+ FJ4v/gxdtxBeJfyxcFvhndX3Lq31WuHW6tsi8b56V7+v5fsJ7y5eC2Qaa5lY 3jQJmXNJ6jPL2V2ie44X3iqx/v08ZMsH4p8gur34nwmfzJ4UHhO6AjnWJ+TM P8Kfin5Stj1Qs7D+RBffrPk0QD+Lnq9xdhQeKHxu6KaDNZdDU9sz2DUfaIyp asdxVnV9v/jb6vd7hScxpvDFcWYvFr5b/AeYp/BBag+jZ0WvFP8+9oDwOOEH +e7CXyAr0Aui++v6IfF7i96mPhPYh8LXCI8TriF8o/B44U2EC+FzOC96r4P0 jq01zlvofPHPFf9M8dfoHU8XPlG4lvjnIe+F/1G7m/2pcZ7QvbnW4FEElfqc IdKeMyF8hfDjws2q1pv3C7dEDwk/KJwK9xLuKPyGnl3RHI4RHSr+Xcg98QcL 3yn8m/C/ha9DPgh/qbmdwvkVPkfP3154vOg+uu4ofLLo6eo/ir0k/F1m/sHC 3aq2Vd4W7olcQLZzNtW2Fb6jYrvxB+H9RM/WvTugr8Q/UW0b4VtEj+HcCt8o uj96R/g64UvVf2fhy4Xb6FkjhB/Ws/oI3yr8ifCJwlcJPyPcVvhK4WnMXfga 4bnCpwpfy34T/kjj10IfMx90Bvta/JOFrxaehWwIW+kmXfcX/zbRZZwXfZuH xG8mOkD8O8RfLn4l9b7qjC2mNlp4pfgvav4thX/V/J8r2+ZEdzcPzJnaQ2Ot Yp0L292jyrZzm2t+rURX696V2CZqN6sdiI4W/xrxh2e23+YKHyJ+w8CNeWdk tXhzM5+/XcWr6hm/Cm+GXVHY5qhR2O67Q+23ku2RM+MsNwu7pnvJ8+8a53p4 2bY79gX+x7khQ/i9Wdgkf4r+XbKM6BJ9ed8Jmf0R3mtp2XbMX7Em/I4dfl/Y LTxrftm2KP0uKNuPYE7flG0XlsMWax54K437hbpsqndfhf2Fji77fHJO2+W2 07gHe7s/NkvZduNrZduWjPt8PI8+2JYj4tlbxBkcp/G65PYn+iX+fYOy/Z1p omeVbaNi88M/Lbf9yfjYsDPi2eCFapPUaqo1Cnl1Xu79xL5KxDuk6v34RmLf gHO3iLMZdinzGVR4nCaib4o+olZbrU3FZ4qzlRf2U3oKn5N7TMYZXLh/S9FD C+//s7El9ax7WXLNobX4U1gH7G61zdgrovX0TT9HHqr/ZLXFwl+o/zbiLxVO xWuNLSU8UuOtSHxGthOvVmp5fo74DVLL5B6ie6tNFj5LtLHaI8hwbK7UMr8T Z05tHnID+0t4IrJF47QTfkr4duEjkK3C1wofJ/yk8E3CPyeWh7tivKTWO+if FsKPIXOwSVO/y0f4BGEffoHsFJ4j/LTwYOFZwpOQPcKzhafy3JDDx4q+Kf4i 8ZeIP0/4DeHXhVcnls97iDdAbbrwYPX/G50qvC/2sNqbwour1nHYutjdC5lr 2b75K8JNsb2Ev8cWEm4bPtRrundsbhsef2q0cF31+VR4Lbo0t72NjV1L/E+E /2Df5b4XO/whtfnC34n+ldq+Xak+h2W2ObE9HxN/gfAq0Sbif4lMFv+v3L7Y dprbTmGj7sp3LKwX9hWuof4fC/9S9Z7cFLsht3z7kTnkjlfMRtaIjlFLtKfv Laxr0bkvsOeFW5Yd9zhL7R3kbGEZuFrjLMgtf37hfXOfnU3U5wPRp9Sv0JjP FD7XNcRfInqp2jbCX+EjqB0rPER9Tiwsj3cr7IPM0Jhf5t4H7IehWoflum6H LEltl2Cf4Ft8nftbLFDfZeHX4L9grMLHH1mdrxNzpdroST2jF7IIXSH+ByX7 ld/EN3pZOM2M+W4/sl7qv1I0y/x9+c4vpn7WOl8q9Zzxtb+NPYDvxZ5gb2yR eR+wH+pgQ6r/e8K/if6k9q7wN6J/qC1hPvA1zocl+498S77pxrp328znCNlw fm55gkzDx8U3xufsEvZVltp3Yo+x1+4Rfr/kdxmo6ykl+5tfxprjn/YL+YDv uUFhXw+fD1mHHL5X52mHwn7x37nlLH79kJL3JfsT35DvyvfF/ny6bLsWXTgg 5PnQkm3bPqGz0Kf8nhWOr6HXwDU01mfCO+u9Lwv92DrOP3JgscavW/azmDd7 Fdt2qe6rLXyEcGPRN0I3cL24bJlOHOcntaPUbijZngETz9k4txyuy5qFbEdv fBxrjix/TH0fLft5TQuP11x0tejxZe9R7OEThD8XbZL6Xr7bnxXb8NjyyC/k 2ILU8pHv+15qmxvbu15qu3xSyHlkMTL5pNQ2N3J+l9TyGrm9pfAZYW/XFO4e NvYGqXUhOrGh8Kl8G+GuogeGrb5Pav2BHqkjvF/oDuRqT7Vpwh2ZV+iLO5G1 6j9X+NbUsQxiGhcIn632jHB30T5qzwqfmToegnxmTfrq+jnh/6TWJeiU49Hb wi8Kj+A+tZeFH08d73gJHZ1aZ6A7bkAehFy9H70U8vPh1PoDPXJVar2F/joq te5Eh7ZJrZ/QU61Sy2Hsduz3+hE32JIYgOb6nXCD3DFNYpvYjXvpejPhpsLf lx1vvU5t59y+/9kVxy7YS+ypFanjM19y3sveK2+XrQvRicRO0PFL+dY43IXj MMRj0Fvor4Xq07LiuAHxA2Io+PfNxBuo/u9ibxSO9yEDvw55i43RO/fe3CL2 J3Eo4lHTNOZOheN8xHlGhjxELh5XOHawIXZKvs6lKh2iZ10Tsg6Zt1XuuAIx mR0LY2I46KzlwtuKPpDZf39D9y6q2H9PJE8einj7YewrPWdgyIfuIV82Cdlz cfDPCjlSDTtxRNic/cIOpM+M6APGL8BubVBYJlwcNhvxVOKq2J0jwjZlnB6B W4VN2T/4A+MZjLlxYZl3gmhdtU1Klod1CusUdAvxeex77PVhgbHt118Th8dP IU9Qv+R4OzHW9XY4GJt5Xaw9+NjRfYPfKq6JwXYLPoru+egPH9+IGCu+ErEW 1uHAkp95azx3S835bdG1mvO2heNsf+SW89cKb1/Ynr8y1vzG2OPE6XYL3V1f 9AbRm4J/fdnXYJ5zczzrprgf/q6R+yCutY+e9714F/PMimNZxLRWaM+cLdwl cVz9zpj/vIrjQsSH8LdGB39O2ddgYmesLz7gynjfVTEf3p/f0TnoJnw0xrgr 7n02xsSPGxt90DujYsz6sZ70J361KuaGT4ifNTTG7B7r3zy+F/sMv2ZW2fke 3r994fG6ZLbJsM3wYdsFv33w5v7P3F6K555a2DYmVoFvR76BuPTBud97z8L8 +TGfoYHxAclXsQYd4nzMjvF5zpzAx+q3J4WPKexvTYx91SMw56Nx6Nlahffh +Nif3QOz9zoWnvMWoger3S98ip5/CHYJZ1+8I9UeF/+IwvEf+hxY2C8eG+t/ ALJA9Ljce4K9QZ8h8e7EzrAnyaOxnkvKxuwt3nlwrA9nkXs4j/MCw+f+u4N/ bmCeOybm0Dja4FhPbJtB0Yf437C496my7RX4jWI/EDs4vzD/UM3/vML3EkOo F+cHG54z/Xys84WBWU/WkHHn5b7vqf+Z29OByakMK9lOQ77hP3NmkQPEHYgD DIr+7P2uwe8RsgyZhn/N3n829hgyb3rZMhCZOqP8/3IRjDzsiu0nupfoCbn9 psWiN2MHIg/CJ8bu4nvj+5JLqxO8xcFfHHzw5rE+rNOF+Aklx16QPehZdB6y kfgFMnxRjIMdhr/ybdk2Ljbad2XbaXuHnJkpulbXv6u9pfZ+zAMf//Wy7UX2 dO/wfc4Mvfp2jEkej1wm8gH6UWBiq8RY0bXYoDzz7LA/GfdG9XkwMLGDhfEs +JPiGoysReYeFvOAjy7sGXy+KbKSd+GdkKnYH6wNOWnsE2Qy8Wbizu1D74CJ Df1V9m/wiSsTX+4eZ2Rp7NWlwQevEf1b7euyc6bkpJFj/Tjzoscnlm/w18eU lsd3KcU9jP9l4PPjLLBuxM0+jefiC1xROOY1onA+lbgcuhu5jRxfF7srOx71 a8hh5O/twVsVfN6TdyQOtjzmhA79IcZBF3wa8eQTNP/94zf4f2XOwxKPwif4 KfbGmnivnqFzySNydt6MPcTeWxv7j33SMvb94YXv+y3uXZ8vZz6/MN/YM/1z 5/7IAQ5T21z4s9z7DlsRm22E5jQQOV143sx/APZe4e/ZEp8pvlfPWAO+93re mv9ZkzXxTd+KPFpzcs0ap6nwZxWfj7XxLtfHWb5W9HkcQ/2+KTURuXMlrxFn iDkz95vU/hF+UmM/KDxAfTqpzz2F+98VZ4vxOYOTdZ1pzHGiu0uOjVSfJxLn 9pjb6DiDf8Q57JRYF0zhvqrHHyreAl034/2IQUT+ZQvi+YVzQAtFFwWGx2/0 uUP4NvQpebzCcVPywf+EzfBe7A3kyruxJuyLn2Nv9Mn97qwBe/K/sQ/RP+gh dP3HwUeukmsk51g7dw1AzYq/6UGRj2uo68sKj08c8pDMvkZjYvuRu/wXPkjk NOsJz4tx7hedoZazFzV+XvWeYe+8WHhtWWO+44YV57lOzt3/SfGeC/6zok+H zkX37qt2r/rsU1jWI/PBzeMbnagxtswtm8nx1g3fh3fcMLfPTv3NQRX7EfgT 5O/JCz8sum/FeUbyjdtXnIskJ/lD1f4dft5zqX2WNfiA4RuuFq1TcU6T3Obu FedSyamOCz+F+A3xHHLN5JzHho9DvAf9hi+xXsdtGDKWXMhV6vOC6DaRN3lA eMvIGU0QXlG1L4xPjD7tE3vm+ND12DzVzLUQ1ETcnzmHSC4xye3Tva1710Qc 4A3h1ZGvfxm/PnzkJ/Bxq/ap8a0vSu1rP5O6xuZn9oboCI3fWPh1jX95+Fzk To+N2HVr0XaRJzq64vqBb4R3EJ1VcU6E3Mj+sd+RvwfGXiYuM6PiHDS56Gsy 51vJu14ROVl8u5HCTYSXCO8QebfJWqtFUc8wTHPeJrcfQM5/TtWxCGISgyM+ MJ33C5/9RPz+quMPxCFmR6ygg/Cc1GtFjcPwiGURkyOWzXdZRowtYolXpK6N IXZHDO/DiDNcK/xtxBNGC38ecYObhX+pOB9EXqhe5MWmJK5bon7pDtFJet+j 2Ev4s5nz7+ThN0ssS5Gpj2bOlZMz3y5xPou81k6J81PkqbATsRexLefptw6i e7HfEuepyVcviLwhecU3MuenyFO9KtyJ75U4340MXBBnlpg2se2xId/uDNvg s/U6InPes53uW5o5Z9pW+NGIjRyudXgqYibH8i0i19kgsYzsHXt+mfhnip6S OG+OXCUH/mnodmwA8rXkbXuJLs8sW5Dli8NubJ/bjlgWtgS2OTY3djV1aH+H jpsYdQgIiUcSy/8JhfOI5BO/T5yzJHc5k1yk5n+78NLEOUXyJl8lrjmj9mxk YtmHDOyYu+aM2rNbEteBUQ92veilid/xEfUtV13HNUi8tZnrtQaSF8YfEx6T OE9MfuQH+kQ+4o/ENiC2HXbgoZEXfkv8vzPXd/VPHAPAB0jD7kBXY1P9GfmO X0R75I5fUlvVTe164VfF75U7J74mcX6aPPUC0cMjD/uhcPPI277DHoxc8HvC w1OfC+JwP1Zcj0FdxrSK88jkky8if8w88d8j5zsjcc6YM/IA+y7xnqQWhfoJ 6ijaYGsl3tvUisyKuosdhd/PXI90pPDExOtJHRy1EeQ/qbWYk9kXqJc4184+ pB7j9cTvzhpQ+0dukTw/dYbwFyaul8Ouo87unsTfiG9FDSF4rHh1qz7Xd3GO qt4Dtwv/lHnfniO8SdW1gqOEa1S9f64TblT1Or+SuLaPvfGY1qFh5NDniDc+ 8felju+gqvPp88X7IXOdwxnCv2auUewt/Gfmde6bOF+I70QOEZ8G3wabg3wi GD8aW3Jq2JNtCvtS+NnwiFnjk5B7x9/A1yAeRtxtqPB+od/b4JsX3lfsr65h 65KTxi4ir4y/3DkwZ3961LRsm9gXY548m33+YDzro8x1mMeoT+c4R9RFfJLZ jzhOeHXmes4LEvsV8PtqLi0K5xapuyTOjq1N/cBkbIcYv2lck2/FduI9z8yd h2UO5Hwfjvdf74tNDvx1xXVK1CuNq7hea7TomIprwKiveLDiGhtqbUZVXEd0 vWjXzH2oF5sVth45uQNyx7Ko9cW2rKXfFxeWl8hNfJRbMsvqZfqtW+bnUi/2 fsRIqRkjtndByMOlFevWd0V7ZK43o+7sjMw1adSmXVmxrUh8+rGKa0WoGelf sa1IHdzjFdePUUf2VcX1WtRtUaf6O2cHv6NiW2KhaJ+K4+HU0/UL25W6uWEV 26vUkV1WsV1Kbd3uuetYeojXMjOmtqV55poWaluIBWOfUL80OLOcmSk8LLPO nS18WtS3tBXtFfUwHSu2H4hXE7c+vOIaxR3D/iT+TByagm+ey1w6ZrZbruBd MtehTRW+IeKNfKtJFa8ntTe7F473nSTaL/PeeJr5ZLaRrha+veL6q5tE22eW jUOFj8q8Ty4SrpHYNiDWfVP4TTeKXpK55m26rl+tuIaNmrQFEdvEljsh8zca hG2b2G6k/u3uzPbASuHxme2H34T/qbgmjVq40Znr31YI35vZ3vhZ+O+Kc098 316Ro5koujixTUs91KLYq2+Jjq86d3Ne6nhOueL8+NuZbYnbhVvl5o8iXlc4 p8y9zTTmPcgI4b0L4+6F6+exL8lHv1p1rfJ3uWvssX/IL48Lf3BiYf80rThP jT+JX3l1YdsJXYBOoLYPn65uYh+T/jwXnxo/dmj4yMQWiDHcF7Y0a7BH1c+a U/jb8I1uEb0qfNjrCtd4YweT7163z0qujaUedc+yc/TYRaw/3+HI1Dk4at+o 2Rhfcr0bOR1qram5vi53vfRtuf0Z/BrqYK9Pbd9i574etiX7aEboYs5K09Q1 LdTinR5nqld8X+ZAfSJ1+NSAEu86s+L68Bm5a7CJD5KXp5aDfB/1gOQ6qb8n j0+MnVg6MWTyntRyUUvQMnV+mTq++fg2yBt0b8iiSbGOWfih2EnI+c5h96Lr 0fkXFbY/ifOg6/Gt8LEa6nqC+NNEF4ctXTtx3JOY5wWFZTV7mz3+TvitHXLr TnQottyssNuRJfjm+Ozkx4glEvNCp4yPPY8/d2XIcOQ9Ng/nhXNzdcjkceFP IfOR/cQnP475TA6f6+2QJ/ShzrRRvEu3xA3cuXCshBjI4bn3K/sWX7tade0i NYwDQj4jAyZE/IQ4Cr58jYrrNF5R21j4ddE31TYJ/TK9cJ+ZotMy93mV8xc+ VJfUPj7ndEz4+BtUXLNBzJ8aiY1y2x/YIdjA+8f55RxjV2BPENfCTsCWoGYK XYtupb6PeAJj8h3ZH+yTWaHHiYlRJ0W9Ovv/+vBbkaXI1JGp/T78v1/1W6ey azaoq9+t7Hp+6hmoOafevnZqm5YawyKzP4gPPbliOY+8H5G7fp4aj6HC25Zd N4JPvaDkuhvynsgiZFKD0GXEWjZKbRtTL1kzs5+Ovz6k6vw4NVbEKKjf+FX4 +6rrOlYKF6ltbGokl6T2MfE1L6k6p08dFvWl5N+pmV0dMQ3qguZF3IO6ocuq zvVT20XudQfNc6F4+4X+JW70VO4YSC3RFpnr0k9B/4fe3yv0ProMnTY1d675 kdw53K9KzvMOr1hXdgydjl5Dv42sWPehA+em9uXx6Z+pWJeh0zbPHOch3jM/ td+N//1a+BT43ItS+9f42a0y19V3QweG3UKsa+vQ7+SOa2eOkxAv6RM2GDqW Gn3qoJBp2GDENIhtpKn9KeptqaXpqLX6OfeeZm9TB3R5an8Wv5b/e0Emb0Ws K2wVbAfyudTW8H8k5CiJs1OPPyS1X4x/3D2zfYKdQn4du5uaPvKY2A/YEZem znGT6yZ3TE6FvDb/M8L/s/A/LvwfDfuW/Ts3YkrU5ZEHJ/dMfo3/sakf71JH 7WzhonCtDjl6cvXUlpC7oi51fsSasB06Ve0zUiv3i+69Sn22LpyLIk5FvIqa NmoGCMJRT3Vi2fVa1Au1DR1K7eC6GqHUtVWnxhzaV+1TU5NIjTL2L7VpO2U+ v5zjmtGf/PKSxHEh6rKXx9nkjH6lcU8W/j53vTH+MnV8Har2o6k3XKHfRsb3 omaYGk5qqG8Lfcr/IVFvQ60D8XOCgfjC+MSzhNuHvUH9NnzqxyfljkNyFvA9 8EGI7TxUWCZPLRwLwtbC5noiYlzY4/ie+ErUQo8NvxIfvG/4yMQBvo54Dr4v eQd0HzoQP5p8CP/LRt4BH594PvnfWWF/Xhq+JPEGfEV8xl8T+5n4m8QTjszt a+Nzk5ch14Jvjp9LXo//myOmRmyN/yEalbpuh/qdNHQ6tWOdCv+v4mmFbUf0 7GuF/Xb8d+I2C8PXJrawIGxX/g+DfD338v+O+M/40cQc8rB/qEUiloWfOD3k KjYS9UrYn5xZYiHkE/m/S/7/klw2+Wjy1I9EbIE4HDoMXTYmdUyVOWBH42Pj axNvOT73ON0K+1f4WdcUzjWgj7BfsGuxb6eIfpo4RkSsiP2JzCcuQlyD+MbX iX1+fH9iSv8HTW5Npw== "]], Polygon3DBox[CompressedData[" 1:eJw1nAf8l9P7xj+fZ1tlhpBZ2aIUQmVESUVKmWUkZe/iF6I0jIzskVmkRVJW KXuPSCF7ZMve/+vddf9fL5fv/TnnPGc9Z9zjetr4qJMPPCmp1WpHZ7Wa/qv9 ltdqvwqd0lqts7C/0FfpJwt/Kr2dCk2RvHa9VhtW1GoHKL+78Lfy/hEOlNxf +WcK/+r3X/r9p/Cz8Itwip4/WThOGEBdqmOyMFTy+cLvuftA2/sJByuvlzBX 8pPCIepsH+E64XrhPuXdKwzRs+dmLttTmJP6mbfLWm0l9fVC9ectyV8pbalw gMocKOwjdBTeVdp7whfC58KjwmPC/cqbJFysuocLX6eug2d7CD+or98LHZS2 h/BN6jLkHST8oryfhX2Utm9q+SehY+q0ZcKPqftM36cJU4WRamuUMFR5/xM2 UtrGQkuN4XuNZR2ho8Z/fuoy5G0iDFD+ahrv/UL7qlZLVcdtKruGfh9Of1X2 +xjjFzHHRyr/pJrnnj4eIfnEmvv+Y+4xMrY9hYnCBKG96uog7Kz6dxJOULsn Cr8r7zeht/L6xBwwF7OV9ojwU4yZsfJul0Ub1L2X8AZ91rj2V/uvSV5DGKK+ bybco/qnqsyU1O9tX2Gcyl4jvCi8JJyhMuuo7KN6/mz1q6vK9pP8qdLOrLxm LxR2z7yWWYP3Kn92zWvzcuVdJuwnuYtwn56/l7ErbS/hU/X1E6GH0g5inLHe Dxa+UPpJPCP5EeEMyTurTzsJOytvF2F7yS2ENpJ3Em6L8R6m8m/o95eSd5e8 nXCNft+l+u8UdqPPwiPMpTBCdV8ifK4ynwm92Cup+36p0DnzGE4QBgm3K+0O 4XW111BtJMI4yRcr7SJhD5XZU/hKdS0VDlFdhwojlDdc2FV5u2Ue+8exz/9/ Do5VX3vVPDc8+6XQJ3Uds/Tsw8JYPXulMFryKKG95A6Z+zpG6JS5z8whYzo4 5vZKnhW6Kq+bcFXhNOTuwtWF05APEJ7Q+/9WfWkqPC55B9Wxfeo6qbt79PeM ms+sbfR769RjYmwzVddDwuWq6wrhHsl3C+dJ/p9wp+THarG+VP9d+v14zWlD 9Ht67GH27uh4hvz16q7rAJXpLuyuNtulXsOsZc6e91OvmdOFEzOvpYnKmyBc IPlCoWPlvX2r6ty78ho/i2dKr33O6D+ELnF2n60yX6j830I3/X6gcB/p25jM fUmpr+4+9de6OFY4WnUcIzzJ2cuaUtnLmF/GK1wr+TrhMcmPCtdIHifMkPyg MEzyRZnfPXPKXLIGtlQbWwgfqu6PhFuVdotwB3Mr/Ki222ts2wu35M67mfUb ZWibNmmLPswp3Cf6cn3mvh8jHJV7DLz7Fqn3yPJ1pfloqbEuU/1tNPZtU68B 3j3rl7XAXmZPsyb2jn2/SOmLuetYe5wD1BlpV6vsxTWXZY+z11uzx4W2am+C 2rtP+J/kF4V2KttVeFjlLtbvP5XXkzUpua2eKdlLQiMJr6j+sZJXV5ldld9K z7QUtlW57TjvJJ8unCv5PGFLyVsI60veQJiW+sxknXUqfOZw9rRS3o6Jz9LJ qe9A1mFr5e2Y+4zirBquNv9S2wepDxdJ3pY9I2ymvKZCV6XNUv6vyt+19Lrj PukuvE/fKusPBwinVdYruF+6CYtz6wToBk8LzwgnqQ8nCmvpXTYSxnN/CfOU Np+9wJ4UbhBuzDz204Qhiedga8lbCU0kbyhcqjqHqK1RnKl6frvcY6DvzYQd WCPC5pK34GzOXYa85onncnNhvcRzitxcaJw4bWvVuRX3tdoZJRSag1xoojIb MpfKa8X+UN641H3YljMvdd94x2sJuyR+99cq7Tz1dYzQWuXOUR1nC+cr7wJh uspOEyYLU1gown8qt47KrJu77m3Y36nbuEgYJjRTWvPCc3WqMDjxnHWT3FU4 S/LZQhPVt1TVriDskbguxsjYqJO+nCUMTdyn/VV+gMr2EfaVvKrQUHhQmFF6 TbO2jxE+0HPPoiNI3lPYjLNZdbfgvJV8hdBZ5R/Qemoq1CU/pfI/q2wrdNPE c5sJG+Se47L0nDPXG+VeyyNUdlzNa3qHwm1Q91hhBZWthDVVdq2Yi1OEcxLP Saq8hHEobTWhHnPM3DZm70Wd1HWlsGLpOqmrEXNTWVdmzaNv7C88rLFUzKn+ d1pqXYs9wjm9udZwc3RX7hhhhvIf5OzmzuPslPxQ6jOHs+cooZ+wgp5ZUeih Oueo/u9U3+aSN1HaxsJglRkibCR5Q+Fs1hL3iMr8pvKTVf4cpW8tbCVsJjTN 3BZ96Brn3HOp1yJrso1+b5G5z/T1f4Xbog3qpk36/oDQpfAY0AnXRB+tWVdE Z92bfVdal6UMZT/iDuYsVtrWwm7oQYl1R3TtWal1yE6h93FXLgld9B7u0sI6 KWc1uto7qc9szmjWAmuie9SF7v9w6jrZl+cq7wRh1ejLfsKHqfuEHcHZwRnC Oj1SOELINZYi8zwxBvr+Sbwn0pC5I6anPoPpd+fo2x7CwtR9bK06dhS2E1oE blJbk2rOO01lTxXWldw4s3wK+z1z2rqp7xLulFlaTycob5CwhvLW5HwsXAfP roc+qDkdxB2vsv3Rh7QeHtf7WcwdI/nExGXIOy73WUyd1MWZfHJq24AzHDvx NfZB2BcD9d6O0+9BNeuz2EWcYZyBnH2cbW8JC4SjlXaMsJjzou47blHpvg8U Vs88hv6SjxVWkdxAOF99/Fnl1xI+4P5W2jbYSSpzPvdb4XV6vdq4IbUNgi0y X/JTnAGc6WprXaGL5KFR3y0120tnqeyZwqqqczXhjMJzyNytLxwveYBQSq6E N1XnG6nXRV/huMJ9pq8NM7exn3BF4rZ5hmf7xV4+Ov6yl1fKrBN9GHoqtnWr 1GcrZyx69ShhpLBQdb0jjBY2U943wuG5f6P7/iDsqPnpKPxbs363g8Y3XPkX CwerbG9hmOQLsanR+alf8kjhUMmHof+ktssWSH4LfU15twgLhLcS64hHR/pt wv3CJNYYa5HzONKQTxTGR7lLYhw8i65GnbdG3y4SeuXu45TEdfDsSaRpPKXG cqewk8bzOmtQaKs+7iq8rLQGiW2cVyufI2uFPtWW9Vha97tKz49JvC45A9j7 qxVeo6Qhry5chg4hXClcFTJrhzVE2uEqe5gwCb28st2CLZbo2ZSzWm32FW5Q 2RsT2zSUIS8rvCZYG9ix1ya2mbCdJquuKUKzyu8Tm6a55KmJ54S5ODn3u8F2 fjP3O2JO2gi9Ss9Vd+543ic2pjAw9VnHmdew8B3OXX6gnu0hPC88l1tnRndu L7ldbp8Lvpc9JHfgvYWevYHaGq25/FL1/aX2erO2wobAlliJtc06V13HcA6S hj2ETii5c+I05AOFjVTfpaqvET6O0n15Fp0s9PhrJY8THlTZGYn9Evhertdz N1TWkRgTYzlIWEVtr1z4XBog3I4+VPOZc0zptXof85J7zS7JrbduonKbCvcq b2JiHQFdAdsFW/fYmvdpg8JtUPfxsRawm++rvCauVpmrYh1PjXOVs/dOyXcl 3pPbC3vHXmVs2P0PJB7jgDiH75Z8T2KZOniWtNsT76mRcTbgE7su0sjjHdNH +jYwdBZ0l1UifWzoXSvHOPAz7Fr4TONsw/d0nrBhYR8Ud3KjOG+4qzn/x8Z8 tlX+86l1hjZxFvPsWcofXnMd81L78dCh0KXmxh3bIvS0m2KfDNdYRmA/pNaZ 0JWwbbERsBW4U7hbhkgeLGwguUnhuueGXkkbZ0o+vWYf4BGlf59Ws038F2eP 0lap20bbpbLPD98fejS6OjozuvO0uMtnh96Azo9evCU6Ueg96E3ImxfWgUi7 R3XeXVmvQpejrqaFbbJpMRbupVZxT24c84zfaVJqmXnDB3Vf9A0/Gno5fXwk +kRfSNtM2LSwHjwl+szc8w6aR9uUIY8+rImuUPhePyX1++XM5KzcVXhVeEXY WXm7CGfHfKLP4+9lP10Y87s2d69+99bvTsLLucufJayLDlLY5sEu4UzgbHhR ZV7Ifc/tKLyUOw25tXBj3OP0kb42lXyg6l5Stz15Vaxp1jJr/QJspdx3GHcZ 5zhn+yDOPdaz8s7Lfc9wF9KvdQr72O6KvmHnrBDnFud4PdYxewF/65nhH8ji jKcMefhhX4s5Y664k/pwJgoT1NeJlWXuryJxGmv3HGH9wmt4Gmd8ZZsN2405 ZE6YizZRbr3COu+E6Cu2WVW4z6vHPcZYTxRqkv/L3c6QwBlxfpHHO8QPdla8 W8ritz8n9tX/j3FojL2QnDPPvHdhpORLhL3R7bHVYz000BhLjWMvjXPP0IHQ hQaiQ6H/CEdlPtM4x8aozUtj3lhrnTRPnUufW5yt+KDxEw+McxYZ3/EVwuW5 z3DO8raxTnl2P+EItXE4Pib18VbhCPXpOfXteM6w3GuetY8uS9zh1NgHyPjD H1GdsxPb4YOFJyQ/nngdDc1tf6FLNFN9B1YuOyuxncwzWyntOuXPq9vftEVl W/ZHYcvKPlR8qcw5cz+JsQgl7zS1P544wTtKWyTcH2XIWyH12A7DR1Z4jEsT +5CviXvy2NT37reSvxM+U96nie8k7ibkT9Bv4p56UvLcxPvoQmG+5JahTw7j vFRd/eizxtKj9LvhbkXX5x1xz1OGvINKr1N8Y/jIsNEeTTynzOUQYULca7z7 y2Lfcxag6+JLJg6Ezwhf0btRhrLv65kliX2c+Jzej7sbnZmzCZ8DujTrajTP qux7ie8U7pbXJL+eeM+xp9hLxDbGSb5G2Edzum/mexVd9e3EOjcxBmINbwhv hk6FboWOh65HPIU+09f3cs/tx8LY3HOM/FHidTs2xkIf6RtjGhLrbKbkhxPv YfYyMSNiR6SRd26cY5PiXsDuxf+IP6YLtjXrTDgpzgGeJZ6DTvyK8FJlXfle pU0UcvZ2ah2F2AMxCNbH17ljAug06Dbo/Oj+Hwgfclek1rv3Ke3/6Y8PlnNA fRkvHJM5tthb6JO5z/QdHZ8zmL4moc/TZ/qwL76CmvvG2idWtjD3HqCvE4Qs dZ9PRTcT9lZaR+EMyacL+0rulNumwbZZHoOJdc97mBx69OZqv3lpu5dA6GmJ 66SufXLXRRoydTZObXNja88WNlafL+PuQ6dVPQ+FXopf9szcMnocfkrS1tez 63GHS340dx66Hn45ytCXZqVtcPqEDYYtNkLyJYmfpQ+0TR34rPBd7Se5i3Bd bh2ZdunLinEvsCfZm5zFK6qvjWs+kzdUWhPhcc42YSN8aaV9NPhq6EvT0j4D +nSo3uEhwpFC38w+Z/yu+BDxJSLjV9w/d1pjzc9Izc9H6AilfYz4GruzV3Of B/j62ws363dDlT9T5c8R+qn8Rqn7SN/m5K6bMTNW2mBs3H394tz5VXm/oPsq 7w7WdWVf4y9cd5XvUO7Sr2Jttw69Y2msc+JZPeIe5H58Rn+fzh0XIE4wTfJU oYHkhsIDkqcLq0peLbV+gq8bH+d83gc2pdBDc3UQ953S7qZulasLk+NM5yxf MerojK1ac90dNAd/1xwjwP9+OetNGIOdVLkvU4RVUveJvtBH+kafblTbNwi9 1PbBme9abIfRce5cGecQNjp7YlniGAyxl1uFnyIN+TZhk1jvxJ+3J7au34OI bQinSP5GZb9OvA6vF36XvEfNPtw7mePEd9S4WKfYWNhaT0qexzOF54y56il8 p7LfYhMo76boK2cndz19/j5xGfJYP4yVOniWMdMX2rw29sb+sU82Udqmif2h 3dX3dYWzSuexlzZOXAYbB1sHHwv7r4nKf41/S+U3lLyyyq7E2aw2fykcAyEW 8l7Mxyq5y5D3q3AOz2PfCier7D8a+2X4HvW7v36/W9oXxe/3JB9WOPazn/C+ fh9dWrfaR1itss2F7TVMz7wa5wJn07cxL4NV5lvlXyFsV5oDgK8On12CLla6 /s7CbtwZ6BI1+2zx3aLTo9uj849X/T0r6y4LlTaocnwHXZwYe9c41+jDd/Fu vtXz3xSO2RC7+UpYKkwU7hWOq+zLWyycxPpWm5eVjgsS99m9ct8W0Z/K6425 fZf54w5TmZeEv9TG34V99vju/5D8J7aOyrRQ2bfxT1b20+P7/7dw3OTlxHcN dw77cq3KZ8U7Kn8Cd2XmNqj7H+GVxM9Qlr38nPKeFX5T3u/CFaXHcFvErg6R fAq+f/gX+CtZT3W/E97NTanjBZV+HxoxXGK5p+L7DeALhtNAHvFn1ipr9lP9 /rh0LJr8T1gvwvlRH+29EXrOhLg7d4l4yvI9mXj+F6jsG/hDJD+jtDbK+0nY SWWf0u/m8Xt+aQ4AXAA4FHAp2kU8hzNvY43lL+4Nyb8Ju5WeQ+byfda85D+U 3zryn4n+MjePEp8OfgbcovE1t3Vm6fF2g7/BeiWmUvceYi+xRuGetMy8dl9Q H4bq2ZWV31fpC3kf8fsd4myF98++dfub2dPcrcQc2OtwiOASEfO/J0DsfmrN eR+pTFf9/h1OUeX4f2PJBwifKe+c0r95P8RXTik9Hp5pq98X8H6EmZIfZu2g fyrvQOELpX8ofFX3OxlQuQxcEsrw7Nexh9g792WeM+aOO7OB5FMrz3Vr4enS 5yvvpm/N+vG2yt8mfE74ntBR0VW5Y7lr+xGvjTKURV/pFv5+7I/2cR/tLfyd WC97O7dOhF5C/AuuDWv+jNQxGfR+fP74/o9W/gusdeUfKXkz7oDcMUNih+Mr +6qX+6yxnYRrhUZ6dm3hY94BZ4nKThQ+yZyGfG/4PPF9viksQJdS3U2F1dXX NRKPFVuiSegVVxOYS9zenirfqjS/anPh8sR7gLXfPH7vHL/ZI89yt1U+y6cI e0nevfTa7hjzsyj0VvQ25hJ7EP8ze+Dp0Ns6o3clvnN+KByLIQZKLLS/8Gbd nLvBqruv6jgytY8XXy8+Q3yHLwgvCjsr7R7OlrgfdtHcTGP91s0X+Ze5UV3T 2QP6/V/pNOROwhrMqfIPUf4q3O+hl+CDwBfxoer7gLWH75S6JL+ROWZK7HTt 0vyFz4V14/dnkrdSfbtqfLurji/wHer3bM6T3Plb6/es0nW9njnuSp2rhR6D XwVf/6/KW8jcCw9K/lH4QZjKOIV/OKuFWcJsYa/S75Z3/EjleDuxAGIC8DNW rNxXYrTEan/L3AZ1z8gc0+XO4K5gYL9nLkPeQ5nXJlwq4g2sUeqE+0FMn7Ya 6bmZzH3d/MPFemZR5hg0cWPkdzLHsZfHpUu/A+a+AfpA5mcoS6x5fdZS7hg4 sfCGoffho8PvRF0LM8fEqbNF6dgwd+CmlWNE6DPb1c2POlxph1VeU6wt/DXE N+AAwAUAG5S2G8hrn5gbQP4jSj9Kv/sltluwpTYRNi5tM2A7rBp6Mn3jHXLH cNcQDz6pNF+LvnAncjfOKb3X6PPc0vEX9iJ7kngxfCq4WCMljyqt56ErwgGC CzRa9Y+q7NfA1/EidwJrVHlvFpafZ40VTqOuJ1T3hnXXyXnL2QwHCy7WA8L0 zJzVUyLv+Zr5gpS5WrgqMwcKXhIcUbiiCyS/VZizBXfrVcmv8Tvua/hiwyQP Ly3DERsheaT6fkllPwG+g6GMuTTHC67Xa9QlvK26FuLnlXx/Zo4fXD94jdxV 3FnnlubYwbWD4wfXr2XoE8SY/03ND+Wu5Y7iroJfxlnxi9ABX5nwbGWfEno7 dyx18Ox/qePVxK7h+f6dmhMANwCeKbzW5/Brqq4ewtLSOjnvjHcFr+zYWA+/ hf79jPKeRudC1ypss/AMZeGiEeMl1vtrap4pnAW4C3BK4ZbCr3qhst6PLbJE ee8Ln+qZz8KuwBaDR8aaIe894ZPCZfBh4suEkww3GY4RXCN8bPja4FzCvYSj C8+PdzWisk+HdwZHDq4cHEJ4b/hI8JVgl2HPwXGG6wynD24fnEu4l3CY4TLf LfmuzD4UfCk3Ze4DbePLfFplnirsU8G3AicKbhQ2ObY5HEi4kHBE4YrCk4Q7 CQ8PLiacPLh5cJrhNlOWMuTxDJxXeKNw+ODyIcPLhDdIGmPB7zYt7F5k/FZT w+6E5wd38gPGXphjCNdwseR3C3NA4QF+JPnjwjw+uIOfS/6icB518Cxl4PhR hrwvhXpmPjN3LncvPEu40u8obxF7jr3HO+XdFu4bvrUpYbczFrimcCAZE32j Dp6lj+1iD7F3ziu9959Te7NqPgPeztwGdS8pvPcmZfZrswd3i/u/degH7AW4 PXCu2RPwVuB6wquA6wbHDV4FPkd8j3AM4Bpgt99UmHcBDwKOK1xXypKGzDNw HuE+LpX8VeEYMbHiJ9BJK9vt2PL4rPFdwxmBO4KNjZ0ML4Q0ZGxnfJ74PuHk ws2FkwA3Ac4u3F342M3r5ozAHSEPLhJxAMrM0/jnK+9JoVflvsPlgLPLGNZW 2lN1cwbhDsKRgCsB7/oK2tTzY0pzPuF+HpF7LHOFg1S+WRq6p/Acd0VqXy+/ 0U3xyWLzYOvgP+TOgGtE3J67BE4Evmx82nMS6+twodCx0LVe1+/X0PGFbtxv SutQt86K7oofGN8MPhr89C+G7rVHaf0RHyi+UPya+GJfEV4W+ujZQyr74PHF w7uFC8yYGBscLuIH2NfM3bV1xwcWhC77qOTHKvu1xuf20eOrZ+7gxsD7Zg5Z O7xT3iVriDb7xB3PXQ8fCl4SHBe4LnBI8GtPCj8UvCW4THBe4L5QljRknoHn BZfsy9TfUQyONGS+i4BzRhry11EXPCo4SNTJ2udbCzhF7AE4NnBt4PzA/YFT BbcKzjncc+w/dAXuCO6KRYn7TF/xnVE3XC14UbTxfNxZS8Pvc6jk9nXHfIj9 MFbeIe+OMRPfaBX+KWxjONdwr7cXdsgcUyG20iQzjw67HHsMjj+8Lb4f4FsW OEjbxl7kzOKsYk9ig2GLseZ7V64b3YFvDmhjSZwJnAUnF7b3aYO64X+1Le1P IoaEvYBPHd96s8y8QWJoxNLg5MHNO03lTy39TQZ8O2JejIG+w9PrFmsbGw9b j28C+DYADiBcQHz0+Orh9cElhH88sW6bGdt5z8q2DjYFtsUdpbmai7DXJD/J fqt7TokXfc+dj+5Zd36qtIPj9836/WPp33zjAf8sV37vur/3uF15We5nKHtL aR4RPA188vjm4cDAhYGjAVdjM5XZVNhS2Ep4XHXuhS2O+s75Wtr+OLRuvgr8 bXiCcLrgdsEzog3qJpaAjYOt8yvnetSN7w8fIG38Wbou7Jd2Kv8Fd5nwLXp3 6brh+cELow1kuH9wxI6LM3tp3FvcLZ+FHoKdhZ2LjG6CzfVh3JOUIe/jOPdZ awviXqLdnvhyhLHRB9KQrxR+VpmfMvsQvg55WWafHGnfCt/QLn3J7E+YobrO C/8N/N2d6o7B49/G/sIWwyb7k/Vc2r/IHY2/8nulfZfZB4gvED7vjnX75PEH c68zJsaCLT84sy8FHwr2Ln7fG3LHVImtch8007NXxv3WVBgr+fKwb+BLkfcd a6qyvYmvGp81sRrir5ytP6Af4ztRG+fW/U7/Ke1fxXYeUHf8er3KMQxiFyuX 9pfeW/eegI9PfOE4yScIK0tOsQcrc7Snh/1F32gf3zn2/bF1r3nWPvuHvUBa PZ7tL3mLuuvg+zVsRzgr8Ffw+XWP+eF7E+xnYk9wpuBO3Rx+cmKsxFa+4o6p 274ZzT3C+ZXZpsC2QMb3hH+JNPyJ+NrwufF9yzWqczfJXZhz/FFClZiP+FBl nR7dvolwieS/Y38wp2tW7gvvkHdHn8hvqGfH1O0/X01po+r2N/xe2v/KWmNO idewv3DRwDGDa0Yf6StnMDbR45nbx8YYFmuctX6NME5YG7s8sZ8JPxA8r+Nz xwyJ861a2ZcOB4h40xFKOzxsWmzbvsKRiTlve0RcAF8N3wXwrQVxx73wKWPz C72Enok5c3Dn8Dnhe+Kbgc3Dj4Dvee3cnH18yviWiREQKyAGSdwPnhfcL/Ra 7Dz8IvhasImwjfA543veV2X3Scyhg0uHjYmtOU958zPboNii2FTYVtjA2L34 tPFtI2ML40MnbUnozfgR8E3wDUCHxD6AJnG+oz81FeYl5g0Sx9sKH2piTim8 TTilcEvh4VGGvG0SlyX2t2XiZ6bHejq7Zl4JMRniLnzDwbccm4RfjLkmDV5o T2EHpbVMHJMlNst7Xicx3xFuIRzDrpIPog+JOYm9Y46IfRIDZe4os39ijiTP UhexX9YMdT5c2l+kP8v9Vx3jna8V64q5wtbA57Lc91LYNseHxTtbHHYJPgd8 D3yPdUzN8RT4Zzeq4k3i/kxYHyrzb2YfFH6mdaIfrF18mZSpcyaWfvYn1b1M WEFpK+bWKeFew8FG1yTuRGyqAT7W3GuNWAkxK9YcZ/YfmX1onOXEMYhTFcor o853VVezutvaJt4z38zw7QwxFmItq7PW4z3zXvmOhjLERKiTuqrcNh92HT4M fBnYediK+LjwdeGzw3eH3YXvZVDsWfYqdz7+DmwxbDL8b8SRiCthI2Mr4wec ktmGxpbG5uQdMPf4gvgmiG+D+IZp21i3rEW++aHP8Jc4+/HZ4buD4wTXCc4c 3Dn8fvgGsfmw/eg7e4a9whj4hohvifhGi2+18NHjq8dmx3YnftAo7se2MUb0 weU+pcxjmhF1M1bWOGudb7L4NmsVdMi6Y65/JuaJ0Uf6BreQ+MhbdccQiCXM 0DMP5vaJ4RvjG0C+Bfyo7u9x2mSON8KBh1uPzwffD7/hxhPjINbxB+er5DX1 /Bqp630odwx6TPis8F0R7+VuJyZEbOgObJbKHEi4kPMr62Irq9xTlePecJng AML743s4+sY3Z3x7NkJ5w4WnJT/DXVv6++af6v6ejpgesT1sXuKbxJHn5uYA wAWgz/SdOSHeCo8ArgMxbWLb+P+vqhxXv6LyHc5djo7D90l8Lwh3C5sW25aY J7HPlmHfEh9rVQ+ffmn7llj4jND3iXe1qVuHR5cnfoBvgGeIp2HTYds9Icyp zOGGy41fmdgH+uqXNftcG5fu+2O5Y/SMAd4z+51viG+ubINiizImxjYPe7Iy LxWu6qzK31ZTfjZnb+W7F5//6qU51NRJXbdU9sduX7f/ldgIsQDeGe+KmADf MM7M7XPD9wZnHe465/oD6I7Cg5V5j3AhiYUQMyJWREyEsugSVdwFg0rHnolB 8w8S8MzZkU9dfE/Ju1+GTir52NKxcmLoL6fW6dDt0DH5Xqydfk+qW2cjvo39 wrezk+uO1xDz4ltFvsciFoaNDBcJThK2MzokuiQ2Dfdd/2jvlugf/ijqIoZO rB7ON9xvOJxwOYlpE9smZkk8D34LugYxWuJ1xAyIHfDNAvOITUb8i29ysdWI cRPr3rvm/U4MnFg4e4C9wDdf+Mqb1/w9AzEy6pwZ7waOF1wvbGJs489L+4bx NxOvPLJ0bJSY6a2p49XEjolJE7/rG/mXx/zOibXKnmRvHhrlz4/nZ8b8wXHt WXoN8F652+GO8jzcV/JZ+3Bi4cFyTtxZmVOynFtSt/8fLhKxBmIScJJ458ui P/C1sbmwvQbW/X3dj4VtR2zIZXp2ZunY02c1f08AZwzuGN8U8G0BMSeexyZc L2w8bD30cHR5eIxwHV8t7RciRoAujU49hzsn9Hds3FpuzmOPKIsviZgksUli NsRuqGtgzT4l6oSfADcDGwZbZlzorvjA8IXxfRSx6gtr/l7hpcLtE7NAvxsV faIvczPrJOgmxFTReSmDLvhi4WeJN6CrozOjO8OzPaRmH8lLpW0+bD84DHAZ OB+OxzapWT+Hn8ccMnfPh/6CLvJX5rgb9j66DDrND6XtQbgrfCPA92HE2wbG +yA+uF9lWwebp0tlzi7cXXxm+M7Y37zrTnXzYeBD8S1y27r9f9tVjiVjo7So HFPCX9Sl7u/DuN+QOVM4W+ADdAx9H+4/egm6DjoU+g32ANwzYqjEUonnsvc4 w+ErJMHbghMGN+x4bKHEMS9iXz+V1pXQmVh/44XbSvsw8GUQP9sm1hvnOWsR rjycedYkY+edvBRz8Efp8xkbaX31Z8fK3GV8Gq0r+3rgfhDTwefD+qdtfLT8 exnrVvYF4BP4JvrC/sD+pE/wjTrFecK/HQLfhm/VOTM5Ozkf2NvMGfwJ/K/M PToIusj/AdYbygs= "]], Polygon3DBox[CompressedData[" 1:eJwtmGdglUUWhm9u7s2NUqTpIj30HqrC0kNHyoJ0kBKqIHXpvYaWUCOhExIg NOmhdwIh9I6uLmVRYGmy0nQR8Xmd8+O558w78803d74pZyYsckCL/l6Px5Mt yOPxY1eSWAHXoArpaYin8dPgLdRHW422EP9rOAuV0aag7Yd98DNaTbTswR5P EHigBLTBPUH+JfIvQjBaQ7QktJOh5MFq8JO3HtsC2xwWQHHKdabcSlgBh9DK oT3DnqaeGPzKIR7PMvzlMJEyE2AG+QXJO6xy1JlR/wX7EPsIukM3WAYlKRfJ MyNhhJ5Hy4+2C9sB2sMiKIHWhfy++H0gAUqh9UBLgFVwFK082gvsh5ANMgc8 nv+gFVC7aMM7+nw69i55P8I49LEwFb8A5Q5gD+u/wnP8Wmi5+W/rYSr+dWwE /7k2/ED+95Ae7TPyNvPMfNLz4BRUQpuM1h/6wRC0fGjrsKk8E41fiXoW4y8R 6IvhAvydvKk8k0//AT8rtijpYvAO/w+leaY1eSloxUlnwc+LLU06HELJD0B5 aEfeabRj6id4RbkItDDyhqptMAYtDG2bvjNkxS+GrUBeRViNnwj/gqrkzURL 5PnJ+JewVfkv1SAjfgaoBO3JO0+5RRAHyTxbBu2+vi/p9lBZ3wstCjuBZ4bj b8IWoK6CsJzvtQwuQybNAexRSI9/BFuUMsVgPn6Q+h8bA7PhGvVf1bvxm1Jv TerNqvlBubloO8jbCXsZJ6UYG/uweSEfxMICmA8pPDIL+whaUu4hNo13noYf fbyD/Ef4MeizoSF1N4D6EEZ5D7Y37+wFB8h/qL7HzkJvjP8hbYrCnwbJ1qaZ +NXJy0JeIn4CrIUo65+l+EugDvW8T7171Sf46SA/z+/gvY3ROlO2E1TUXEf7 FLsJNsJWGEZ9o8lPwg+xdWCVvW9PqKt7X6jrt2xwFr+JtSsV/xQcgnSUC9AH UzRXYKHawfuWYH+nj976nK7845TP4HXrzyX7rhex5+GCrUnKT7FvfQzWUU8S bILbvD+nxjH+S/CR35N3efUs6UR4Dm21xlLuDu26Dd/Thos8ewH7M+lv8d/h v4Zf4Q3a/yErz/ybvHTYVH1nrQ3kj6fOCXAK7QzaIbTJpKcE3FjQmDjqc3nT 0Nbjr4OlsEtzlfwLcB5OoZ1DO4Z9RfolfMD7fkALwX6n9sEV8i+gpWG3whZY A7vRTpJ/Vm2BFLSzmpcay/RDSQiHlfRBWexL8l/AIzhJuac88xT/CfwEJ9Ae o32sccgz2bF/UNc7mAvdbRwvsLkRShsDWid5pjB5a+w7tMN/gZ8DP2eo6xv1 0X1oQd4D7BHed9jn5lMetCjsUNLN8O/iD4LBoA2yNdoz/DhYBA943324S/lL FLmK3YB+WXPK78aDxsUD9PvwVPM5yM3PjPgZ4DcojpaMrRtwfVSGtqbpO0IX +WidrR/Vnx0hFe2x380nzavbGue892+8ZyD1D9IYQ/saLTNaX9JfQW78JLRR +I/Ifwx+tFVotbBT0KfCe/gJaHWw00hPh672rePxi+AXhbY2nlag5cMPg+wa F2gtsAvR42Ai/yW39fk+9P2QBVZTrgl2LmXmQS/8PWgJ+CXxS0EGSERrgI3W 2gbnqOcsdLC+aIctqDFOubHk/4//9QsUR1uPNh7tNelfoSnaDrQYtR19N0Ro TKuc6iC9Hurib9Peid1E+hvYiJ9q4/1L/D7QELZrnqkO9G0wG/+Y9mnsTdK3 1If4R9EuYm/YnJqg8af6fG4uak6GaxyhTdAaQHvfaK1CO4J2BnsF/SrE4h9H u6l5Q/oefI6/E20B9gDpg1ZWz5zXOxSH+dzY0hiLtb0qAv+Kxi4ctDV0P7Yr NiPP5EcvDEWgKuOuCuzGL0Hf78JesvXsIwWSpIOUp7ENxTS3kGv7XRyUCf9j 7ev42aAC7ykPu+A99GTsDZtTuXjGT5kQqG77+hX6Y57WzmC3nr+xNfQU2h78 1gG3v3wS6v6P/tcd9NuwEb9okFu/C1F3QcgU+Gsb9mThZyXP+BQH256mve0Z z123dWqzrXv/hWtoT9CSbG3dbe1vRX078HdCDdpYHeKt3su87yL5FyDS5nZT /DEwGu5Bc7SR1FeLumvCNZ6fb7FNiq3Va2xv0R5z1NbbVVo/IN7WJ61T2vvS bM+IsfUnGruc9Ao9Z2t6Zr/bb7TvLCd/GSwNuP1Ge0uqjZ0MfrdHvIZDtGcm WnnNXbVRaxH/sRNEQm6tKZRvhd8S2kIutBp+F6crXo+D/oo7qCOH1nxYjTZJ 60ywi0kXwQLop/iT/Bn40xX3Qx9tBWhz8GfDNOiLlh5thGJK9RU2J+lckEdr IKyzeDFBcQScCXax8Fg7SwzDH2L52a1dKYoXgt3/Hk1eBbQtfMMA/ytEa5za DR0Ub8Jmy9uAnYPNYeeYWDs/TbdYf5LXxZ+KQ9vgZ0CL8LvzSQ+v+0+jFAPw ju74PaCQxW6aUzqH6DzSTGcAxZZ+d17RuWWynWPGalxqD/O7846+TW/8tfhJ EGffprvfnQPj7eyVE62r350Jlqou2hCmdVBrkvXtHItxo+1co3h2g+J/8rdi v1QbYTt+ONp67CDSg/3uu47R3KPOfhoLsAd2w0EYSV4J8tbY2bA4/k70ZOgJ X5H/C/XUwa8LZSAcWkEv8n4ir5LOYPhldRZSnA/3NK7QWlLfPvz98FTjDa2N Yif8Y7BdYwrtls5W6I3hhc5IaO1sTJyAtxrPaB1C3Fg6a21oq3ic93XE/wJ+ U7yM1l7rFX4aXNX41jhmjkWid4PLNud9aJ1Id4YbaLEa22g9SPfUnq7xbn3x BXnP/W6MdIOWjJFgvscTvzt7NdIagl8Vv1qwO5c3UDyHVha/nM1HzYFs1D0Q fxDUhgj1Dd/ASx9eofxS0uNs3g7G/yfkgWYed/Y/QJmDGm/2HRTXB1HWC/Ws rToDXafMDWtTFfWx1mLaXF97Del6HneuLKa9HPLDPzzuLHzEzpA6f+pu4iR+ KfzSMMLOuAOwjdA/g3F2rhyObU66BQzEz4s2FFuHdF2Nf1sbEyFZcTFt7q3Y RHGxxUUBbHf7VuksfvJZvKK4pZDPjaVx5JfDL+tzscgS29fz4ueBAhCnNllM VdjnYjSNzdFo7/gvf9i4ibbxNQD6w0cWF2k8NCLdEG7aGNH9QBcbNyHkx6N5 tW+hP4AnWkPRmpP/e7CLMV7CLBubQ2GI1kyL0TLpP9A3ZaAIfUXSUxTbkHQD yG73A+rvNrbOlLd5N1HrP+nP9X3sPK/1qCnpJlDA7gyGed2ZSvvzNuxm2AIf BNzdiWLk7dpbFfNDQPsZz9/SeMWW0P0D5Pb+de3kyYNdbWeME1o7NW987g5B dwnhXnfvVQbrtZglB8JN/V9bJ7ReVNT6jvaJnZlL07632AJQMOBizWdwH2ZQ rpXFiooZp1p8N07t0F2Jx93F6E5Nd2tHvO4uS/c94/3u3mqP3U3o/mMY6eHQ 12LNSItxV4W4Oznd7az1u7s2b7C7V9OdzTdo7+On07el3Kced3en+xrd27z0 ujsl3aHF+9291UH8smi7sWP87j6qI+/rAF1gLXnLeO8T8mt43N3JYu0NWg/Q l0Abi60V0yvefmXrquKEtiGu//Ud2tk5ZKXiU6+7f4tR3+PfUr+gH4ZFFkdH q17S22GWxcKTfC5OV7w+Ef8Q2ijsXtJ7FJNYvB2FnaOYXOu3xfQ61+ico/NO bcV0aFWxM0LcWaeenQdqYu/Qnmr497CzaeMcv7tXK+Zxd5/n8M/DGa+7q4zy u3vOyxBLXQuguZ0R6vvcvZruEWdQ7lv879SPPnfuPR7i+lv9/icym8aa "]]}]}, {}, {}, {}, {}}, { {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl08tLlGEUx/EzdtUmLTO8pGNTmhhkm4KohIzAwGphGlSU4qamRa2Coj9A LdoU1Dqjdt3UaBFBUES0rOxiXorAhLQgbWEL6/MSzHe+vznnmfO87/POZLvO tJ5ORcQLrMyLSHLOW/GSiK9yudoKPsvVfJ8beIIbefWCiH3c6DtH+RU34ZR8 We88P+EenubrvH5hxG3u5A48lG9yH27guc9X7J81p3lpxAN+o1Ymd8tTeu08 Ye03TOKt/hRP4wd+YkjtF89gFr/xTm2O/+C9PM9/8UFOLYrIw0e51vx+DCfX z3X4JBfo52NELuJCjMqruBhjcgWXowylGFdby9XIoAqf1e65j7u4g3rzW9zf AK/T/6LfI8/qHeas2mu1Edc6ijE8S86Jr2JQbuVbXMrXeNx5d/NTc9Oe1zl5 j1k5fsm7cETeZl0Lp3knD1u7ifs4w/Wu4TtnzLnkO0VyiXxBfqzXwCesPYkc CvWP8XF0oBPL1Q5yG9pxCGm1/XwAy+Rm3osCuYl3I1+exEV72DIeJc+dbRs7 9LdjsbyVt8AxxebkNwrHEHW8AbWogVuMKq7EGlTAKwYNHEA/Ntqj0ma9qf// iX+8ulrr "]]}, {Line3DBox[{529, 2040, 2056, 1810}], Line3DBox[{537, 1811, 1805, 2041, 2076}], Line3DBox[{538, 1319, 530, 1317, 535, 1351, 626, 1387, 683, 1423, 737, 2182, 789}], Line3DBox[{548, 1325, 542, 1323, 546, 1356, 633, 1393, 681, 1391, 687, 1427, 741, 2186, 1460, 787, 2234, 1860, 2202, 2206, 2208, 830, 1872, 1517, 868, 1547, 908, 1583, 956, 999, 1008, 1660, 1064, 1121, 1129, 1734, 1200, 1265, 1274}], Line3DBox[{558, 1331, 552, 1329, 556, 1362, 638, 1398, 689, 1397, 693, 1431, 747, 2250, 1462, 790, 2198, 1491, 835, 1521, 873, 1550, 913, 1587, 962, 1006, 1014, 1662, 1069, 1127, 1135, 1201, 1208, 1276, 1946, 1282}], Line3DBox[CompressedData[" 1:eJwVz78rBGAcx/HPuTtsrCZZLX50siouWRS5wWAxMAiDRfl1E6OB4XJKSl2K VZRJVzcYdAP5J+xGL8O71zM8fb/PM7K+u7xTSLKoSk8yXU7GOcVJ1njEFda5 zxde8YfPHComX5zhJ6vc0JYGe5NLVtjmKn85WkomtK09PemkL3llgzGnyWsV nW94q7LzHdvuvZv1xg/W2eIxH1nlGed4zgFu8tvuWd5zmIcs8IAP/ckaaxpT x64SW+z66+n/m3ihJS1oXn8hxCcf "]], Line3DBox[{570, 1813, 566, 1337, 568, 1369, 641, 1367, 644, 1404, 695, 1402, 699, 1436, 751, 1466, 795, 1496, 839, 1524, 877, 1554, 918, 1590, 966, 1013, 1019, 1071, 1077, 1137, 1907, 1142, 1917, 1210, 2024, 1924, 1736, 2025, 1927, 1738, 2027, 1215, 1928, 1148, 1701, 1146, 1705, 1090, 1667, 1088, 1673, 1034, 1634, 1032, 1641, 986, 1605, 939, 1569, 894, 1539, 855, 1510, 817, 1481, 774, 1449, 723, 716, 661, 655, 587, 579, 1821, 577}], Line3DBox[{578, 1822, 580, 588, 656, 662, 1412, 717, 1445, 768, 811, 818, 1511, 856, 1540, 895, 1570, 933, 1563, 934, 1599, 980, 1635, 1035, 1674, 1089, 1668, 1091, 1706, 1147, 1702, 1149, 1929, 1216, 1926, 1925, 1213, 1922, 1921, 1211, 1918, 1143, 1908, 1138, 1078, 1072, 1020, 1626, 968, 1591, 920, 915, 878, 1525, 840, 1497, 796, 1467, 792, 1468, 753, 1437, 701, 1405, 645, 1368, 642, 1370, 569, 1338, 567, 1814, 571}], Line3DBox[{584, 586, 594, 1375, 660, 715, 722, 1448, 773, 1480, 816, 1509, 854, 1538, 893, 1568, 938, 1604, 985, 1640, 1031, 1633, 1033, 1672, 1094, 1710, 1151, 1704, 1153, 1744, 1219, 1740, 1930, 2026, 1737, 1217, 1952, 1284, 1949, 1214, 1923, 2023, 1735, 1920, 1207, 1140, 1134, 1074, 1664, 1018, 1012, 965, 1589, 917, 1553, 876, 1523, 838, 1495, 794, 1465, 750, 1435, 698, 1401, 694, 1403, 643, 1366, 563, 1334, 561, 1336, 565}], Line3DBox[CompressedData[" 1:eJwV0L8rhHEcwPHPOT+u1KkzmE0ycCVll+mSLhbqFgZdBmzGG65bDQaHwUAs DEgdi0VJXWTg/AkG6twZWJSX4d3r8/nW832ensGltdnVREQsaKYjIq+CFrsi 9ljhE5PJiF492Cf4zgJPUhFnKpuHuiPOmWODk3zlMtOdEZuc5iXLPGWFL7zj I+/5w5T7j3oiDvWltlrOj9nvfXll1LJ/Os+ZEzqw76v5f66qtvXr3mtdaF1F jark2W/fOM9b3mhLffYVtn3HFJ9Zdf+AuWaumz/8lx3zG3d5xQ2WOMcRjnGY 48zyD8hPM9o= "]], Line3DBox[{598, 1344, 602, 664, 673, 1417, 728, 1452, 777, 1483, 821, 1513, 858, 2222, 2226, 1542, 897, 1573, 943, 1608, 989, 1646, 1046, 1685, 1096, 1676, 1098, 1714, 1163, 1755, 1227, 1747, 1230, 1789, 1293, 1782, 1286, 1778, 1289}], Line3DBox[{608, 1346, 612, 1378, 669, 724, 735, 1457, 784, 1488, 827, 1867, 1998, 2138, 2141, 864, 2104, 1879, 2004, 2236, 2239, 902, 2246, 2217, 2209, 2213, 949, 1615, 996, 1653, 1040, 1642, 1042, 1681, 1103, 1720, 1169, 1762, 1232, 1751, 1234, 1794, 1296, 1785, 1298}], Line3DBox[{617, 1826, 1830, 620, 1382, 676, 1418, 731, 780}], Line3DBox[{629, 1348, 532, 1809, 1812, 1806, 1973, 1970}], Line3DBox[{674, 618, 1347, 1835, 1828, 1980, 615}], Line3DBox[{688, 1385, 624, 1349, 533, 1315, 1807, 1971}], Line3DBox[{730, 675, 1381, 619, 1829, 1825, 616}], Line3DBox[{742, 1422, 682, 1386, 625, 1350, 534, 1316, 1808, 1972}], Line3DBox[{824, 781, 1454, 732, 1419, 677, 1383, 621, 1831, 609, 605}], Line3DBox[{909, 904, 1579, 952, 1618, 1002, 1657, 1057, 1112, 1123, 1732, 1193, 1258, 1267}], Line3DBox[{957, 951, 1617, 1001, 1656, 1056, 1694, 1118, 1179, 1192, 1257, 1266}], Line3DBox[{991, 1611, 992, 1649, 1049, 1688, 1109, 1727, 1176, 1770, 1238, 1758, 1241, 1800, 1300, 1790, 1303}], Line3DBox[{1005, 1000, 1655, 1055, 1693, 1117, 1178, 1191, 1773, 1263}], Line3DBox[{1047, 1648, 1048, 1687, 1108, 1726, 1175, 1769, 1237, 1757, 1240, 1799, 1312}], Line3DBox[{1059, 1054, 1692, 1116, 1177, 1190, 1772, 1262}], Line3DBox[{1106, 1686, 1107, 1725, 1174, 1768, 1236, 1756, 1239, 1798, 1311}], Line3DBox[{1119, 1114, 1730, 1183, 1934, 1252, 1260}], Line3DBox[{1171, 1724, 1173, 1767, 1251, 1961, 1308, 1797, 1310}], Line3DBox[{1185, 1180, 1931, 1940, 1936, 2029, 1254}], Line3DBox[{1246, 1765, 1249, 1959, 1964, 1967}], Line3DBox[{1256, 1771, 1933, 1182, 1187}], Line3DBox[{1269, 1774, 1198, 1188, 1125, 1695, 1062, 1053, 1004, 1620, 954, 1581, 906, 1545, 866, 1875, 2000, 1870, 2144, 2093, 2097, 1861, 1994, 1858, 2194, 2190, 2188, 2184, 739, 1425, 685, 1389, 628, 1353, 623, 1354, 544, 1321, 540}], Line3DBox[{1279, 1271, 1204, 1196, 1131, 1697, 1067, 1060, 1010, 1622, 960, 1585, 911, 1548, 871, 1519, 833, 2200, 2204, 2258, 2256, 2254, 2252, 2248, 745, 1429, 691, 1395, 635, 1358, 630, 1360, 554, 1327, 550}], Line3DBox[{1294, 1780, 1291, 1787, 1228, 1745, 1225, 1753, 1161, 1712, 1159, 1722, 1105, 1683, 1044, 1644, 987, 1606, 941, 1571, 940, 2211, 2216, 1881, 2228, 2231, 2229, 2100, 1869, 1864, 829, 819, 775, 1450, 726, 1415, 671, 1380, 614, 600, 596}], Line3DBox[{1309, 1796, 1307, 1960, 1250, 1766, 1172, 1723, 1170}], Line3DBox[{1313, 2037, 2052, 2075, 1804, 2124, 2123}], Line3DBox[{1314, 1803, 2074, 2036}], Line3DBox[{1833, 1834, 1827, 2045, 1979}], Line3DBox[{1938, 1939, 2048, 2121, 2047, 2073, 2028}], Line3DBox[{1965, 1968, 2050, 2038, 1962, 1247, 1763, 1244}], Line3DBox[{2068, 2044, 2079, 2078}], Line3DBox[{2072, 2046, 2120, 2119}], Line3DBox[{2240, 1576, 946, 1612, 993, 1650, 1050, 1689, 1110, 1728, 1164, 1717, 1166, 1759, 1242, 1801, 1301, 1791, 1304}], Line3DBox[{539, 1320, 531, 1318, 536, 1352, 627, 1388, 684, 1424, 738, 2183, 2187, 2189, 2193, 2196, 1993, 2096, 2095, 2092, 2143, 2147, 2146, 1999, 1874, 865, 1544, 905, 1580, 953, 1619, 1003, 1658, 1058, 1113, 1124, 1733, 1194, 1259, 1268}], Line3DBox[{541, 1322, 545, 1355, 632, 1392, 680, 1390, 686, 1426, 740, 2185, 1459, 2192, 2191, 2195, 1859, 1995, 1862, 2098, 2094, 2145, 1871, 2001, 1876, 867, 1546, 907, 1582, 955, 998, 1007, 1659, 1063, 1696, 1126, 1189, 1199, 1264, 1273}], Line3DBox[{549, 1326, 543, 1324, 547, 1357, 634, 1394, 690, 1428, 744, 2247, 786, 1461, 788, 2232, 2233, 2203, 2207, 1490, 831, 1873, 1518, 869, 903, 910, 1584, 959, 1621, 1009, 1661, 1065, 1122, 1130, 1195, 1203, 1270, 1278}], Line3DBox[{551, 1328, 555, 1361, 631, 1359, 636, 1396, 692, 1430, 746, 2249, 2253, 2255, 2257, 2197, 2205, 2201, 834, 1520, 872, 1549, 912, 1586, 961, 1623, 1011, 1061, 1068, 1698, 1132, 1197, 1205, 1272, 1775, 1275, 1945, 1281}], Line3DBox[{589, 591, 603, 1376, 665, 719, 729, 1453, 778, 1484, 822, 1514, 859, 2218, 2223, 898, 1574, 944, 1609, 990, 1647, 1036, 1637, 1037, 1677, 1099, 1715, 1154, 1707, 1156, 1748, 1221, 1741, 1223, 1783, 1287, 1779, 1290}], Line3DBox[{595, 599, 613, 1379, 670, 725, 736, 1458, 785, 1489, 828, 1863, 1868, 2099, 2230, 1877, 2227, 1880, 2215, 2210, 2214, 950, 1616, 997, 1654, 1041, 1643, 1043, 1682, 1104, 1721, 1158, 1711, 1160, 1752, 1235, 1795, 1297, 1786, 1299}], Line3DBox[{597, 1343, 601, 663, 672, 1416, 727, 1451, 776, 1482, 820, 1512, 857, 2221, 2225, 1541, 896, 1572, 942, 1607, 988, 1645, 1045, 1684, 1095, 1675, 1097, 1713, 1162, 1754, 1226, 1746, 1229, 1788, 1292, 1781, 1295}], Line3DBox[{606, 610, 1832, 622, 1384, 678, 1420, 733, 1455, 782, 1486, 825, 1865, 1996, 2139, 2142, 1516, 862, 2101, 2102, 2002, 2237, 1543, 900, 2243, 2244, 2241, 1577, 947, 1613, 994, 1651, 1051, 1690, 1111, 1729, 1165, 1718, 1167, 1760, 1243, 1802, 1302, 1792, 1305}], Line3DBox[{607, 1345, 611, 668, 679, 1421, 734, 1456, 783, 1487, 826, 1866, 1997, 2137, 2140, 863, 2103, 1878, 2003, 2235, 2238, 901, 2245, 2212, 2242, 1578, 948, 1614, 995, 1652, 1052, 1691, 1101, 1680, 1102, 1719, 1168, 1761, 1231, 1750, 1233, 1793, 1306}], Line3DBox[{1120, 1115, 1731, 1184, 1935, 1253, 1261}], Line3DBox[{1186, 1181, 1932, 1941, 1937, 2030, 1255}], Line3DBox[{1245, 1764, 1248, 1963, 2039, 2051, 1969, 1966}], Line3DBox[CompressedData[" 1:eJwl0D8vQ1EYwOH3Vv9gNQgpYu+kSxMtXQwdDLpKDGIUTSdSicZADBajxUL4 CBKpbpJabBZjiw9gkCARj3T45Tn3zck5J3d+s1HfSSJiTYuZiEoqopCLOOa6 7xO22eEBu7zgB+85OxLxwho/2eBENuKcJT7yS78qpiO2nV1ikwP1tatLe1/Z 0pX1G9+1ryX7D83KPGKGG0xzi8/OrvKGee793+ctdfZZ4AMTXvPJ23s606kW 3LHCOd6paj3NvH40MxrxzWXzMetVjWvKbFJl89vc8P/9ASnsKgc= "]], Line3DBox[CompressedData[" 1:eJwl0D8rhAEcB/Cvw50XYFCSuxdwE4u6O1kMMjG6UorNn9TpnjJcFBluMVoY vQKxyOSSidXoDSiDSedThm+f3/d56vf8empb+2t7I0lWpTGetEpJvZKcs61f sMcn3vCL1/zmI2dHkw+u8IcHnCwnVxzIq2zoQ86PJbt2L/CQHXa4PZEcsceu Z13zjrlgoR9zkSf2NHnGMjf5bm+Db1ziLWdYcOiedX6yzmeW+Ov2FznVL9mX Od9YZpUP0vKu5oZp87009ao+Zb6r/P+rP+awJv0= "]], Line3DBox[CompressedData[" 1:eJwl0LsuREEAx+G/XaxH0BDXRLVIyBLxBIpNRLuJiLgmZ+nQyCoVWo3G5TWw GsVGp5Ug8QoSDfGJ4pdvZk7OzJkzvNZcLrqS1NXoSU5LyWwluWfL/IGX/GSb A2XPOMQXLvGL+zzXheZ7kyd+a8Ne6U52WeNxX/JqXGjdeFOFtvRmbZsHahqf sKV34wXv7rHMhv1LXOWzMxZ5zX5ecZBHDFf44fuqnNCPe9yYd/ioOXuecebv zmprWiPOneIoxzWmHU1aO2SVd7qt/P+3X+ycKBw= "]], Line3DBox[{2087, 2086, 2170, 706, 1985, 1410, 707, 1850, 756, 1442, 758, 1473, 802, 1501, 844, 1529, 882, 1557, 925, 970, 1888, 973, 1893, 2012, 2011, 1896, 2112, 2174, 2113, 2118, 2117, 1082, 2115, 2116, 2114, 1025, 1628, 2013, 2014, 1898, 976, 1595, 975, 1598, 932, 1561, 886, 1532, 848, 1504, 809, 1476, 767, 763, 1853, 711, 1849, 1987, 708, 1846, 651, 2088, 2131, 2130, 2132, 1374, 2129, 2087}], Line3DBox[{2090, 2089, 2171, 759, 1988, 1443, 760, 1855, 801, 1474, 803, 1502, 845, 1530, 883, 923, 1883, 926, 1887, 2008, 2007, 1890, 2106, 2172, 2107, 2173, 1895, 2157, 2110, 2111, 2109, 1897, 2108, 974, 1594, 2009, 2010, 1892, 929, 1559, 928, 1562, 887, 1533, 849, 1505, 810, 807, 1856, 764, 1854, 1990, 761, 1851, 709, 2091, 1847, 2135, 1986, 2134, 2155, 2133, 2090}], Line3DBox[{2054, 2053, 2060, 804, 1991, 1475, 805, 2162, 2163, 846, 2165, 2166, 884, 1882, 1885, 1884, 2127, 2062, 2063, 1889, 2064, 2105, 2065, 1891, 2055, 927, 1558, 2005, 2006, 1886, 885, 1531, 2167, 847, 1503, 2164, 2180, 2181, 2179, 1857, 1992, 806, 2061, 762, 2159, 2059, 2160, 1852, 2126, 2071, 2136, 1989, 2161, 2070, 2156, 2069, 2054}]}, {}, {}}}, VertexNormals->CompressedData[" 1:eJx0fHc81+33P2lSGSkNJVLSzmqoTksalCYNkU32HiUzK9pDSZM07KgkF2WL 7Bmy9/staYj4XYdXfbrv7+/+/PN+fM59Pc7rnOf1PM9zzuvVg6iW2T7dURwc HIXjOTi46K+vX8via0dZZDHHvZTJ64vJos17tWyv6UKvRE9AT2EXEfJ3y90p VUYueVxlL00ygJLe+H79oU7CfWfzCne+KrJx9LW5RjXGYLrybiTXww4iBhx5 z0Q+Ee9nUx9VSlmAtk/34I7NbSTsxeGSgyENhJ9rLu/dXmvY2rhcZGlRI8nf FX3n+a5Wssa4JeBIuwMIOYz1zZKtINlK98SNDLvI57hCV02NM8Ax8j+XfM7b y18MsYlZWaNxO58rRKz9UpchWwGi686cwfP8lqQez28c8Q9FjP/1jH/NkXjg KRPPVCae0VfzX9H4wWC8TyLG/0nT+grGf+68N4fBUCfkCgfNwnwjBM5zY74M PjCDwecKg0/ikOpSiidsNx18iXjO2TvrMOLJFduhIFzCIjV8mfG8ogXEOXjh rLpOXTg2sa3oizmLXBYdShlIKCJKFTKVWzYZQs/Wt3dZFH+TwEvZitT/j+0P hTmiTSDgWKagf0YnUfxi6Nf0s4pwn726alOrBZTXXDdcX9lO3iqyLM/q15FH xDRDQNEWNk7eV+j4uZmkl47J27+7mVwq22i22v8U3OmsP9+0tZpsSslOSrHu JLJjZ2ZvkHP7g/NrDpsF1ynORfyjzYMdPaDm3uDbhq3V8OnCLtm39Pyua5+n Aj2/bsQ/ZDP+rzP+y0bigXQmnmdMPD950oRp/DBLI8AI438uHCCG8Qvs1ntI 84VryRUvMF8/8/DRmC+DD1xl8NnD4MPgCf/G82a5ukjTOjbpuPGy8HBqDmkU y/GPkNODxiU9D7L7WKQ99NfJJN58IrWOWGfHGILftANDogEsorIyM28mVxG5 aCV95vhJUyjn8jNsofgv1Veev5nGEzRH7sKtAEtIjZAyUzfoJL5tDzvjbKqJ wyHxR8cv2kHor58fl1Gebx3dWbqR8iot/tn5PNMzsEFp1e2HynVkUYL4Qf/2 djK9Q+6IhbfnH5z7vaqWHqM4f1i5pn5aoA98MjJ+/EC5DlITyz7j+XLWpTI8 f3/EPygy/nMY/29H4oHzTDynmXiateTNaPwQ83jieIx/79wP9hj/w2slnGIB LKhoeZaE+datMNXFfBl8oJPBR4bBpzPu7VyKJ7Am3H+FeN6f9soB8TwX77/G 7QKbDOSdO83Jk0Z8l0z9PM9SDxbbmm85YsgmR6Ndb2mZZpKKAyrH1XiNYHOZ vk6oJJuob7p5Lm9qLikM1eldOdYM5rwaMyT/kkWESm3U7DsKiKtT/hHl2Vbg 8SOoqIzif+cOsGRp/K8dVt8XSrKH0gMGaUUPOoh17vy6C7ROJwqllSZKuUJY SJh/VWEj4cwsjD1A612MHSzd2+bzB+f10TOzPw6yybZPTzps+C5C5Neg4MrC Rqh69NjlID3f8mb25K/0fOGIf7Bn/PMx/pl44CETTwoTT/QMz1HrXrIg6oPT Rox/zab1mzB+xchmXZoveHD3WWK+oWMmV2C+DD6gzuDzkcHHdNtXxBMMRpVb IZ53XiY0I57E6cne6lyKM4+Ek5xCIjnA/9Y07bYepKUeXDzwmk2icnoPmFkn E/kaAcXm/UawfW3n/OvBbOK+jr/k3rN35IRMzePbjmbA+rBRQZney8HcLZ2q 9Ln1Ci/XO/pZwcEjpW+e0bpIOBOoEUHvPS3O1TM6xgEsXS/uf4r8z/xVL0Dz lZkis9Q2wA2M80ctv72pjcheSbPIe9hAjsQkrZ9uev4Pzppim3vMf7HJhbtL HQOuB4JIprZF0KY28Jp6UvcDPT/12JV3M+h58xH/IMP4X8v4Z+KBJCaeHCae cbrt22j8EG4yLRvjX5amKYbxt40PXkDzBZHWVe8wX5bCHn/Ml8EHYhh8NjD4 WF6tQDxBuLvNBPGMz1ikg3jGbbMXOPqFTXqriuf66j0jF3Y8cTF9qQe5wZIf c1lsUjl4OyorIIp8yx5w4XU2Au9riyMUWtjEB7y6qypiSZhuuUvfWzNouH/r h00Fm8htym65kvaSpOXe69xSYAWDcQ9ZVfS+5Hi45mrQeOYpnNTL2e8I/As7 O8fSe5Ea/3SaGM3raJG3/W4/d3iUVPs0oaCLuF+tyFRdWUYMt9YV1fpf+oOz ytQJdhlf2cTabq2G8cXHAIJx6vQ8CLSXHz5Mz/N6hwvW0fO8I/5hDeP/BOOf iQfWMvFIMvFMSeHuo/HDhIeSqRj/OBXRfIxf7+BhzBdGvVpZg/neTnHTxnwZ fOAjg08fg0/MOg/EEza/MJiCeBpodNkgnlrjklu/U73bbB54QS/FdsPIrx7E TMgb6KX23/kp1Hu57zxnBBu0NcS7/7L7tdY2e1WZQb5l7eqWv+yuEUXHl7dZ gd+HU1+K/rI/nVj8Y9k5R1g7u6wx6C976jhJEc42d3Bvn/DYavB/9rfxC84q tl7+g/M/f7uhVPF9GD3/578njT8hsIOeZ/z/secw/v1H4vljj2XiSUkYjv+P /dCZjk0Yf5zLcL5/7JljtmVhvgw+f+zbGXwm8Q7jCfezPnginiO//4fP8B98 hv/gM/wHn+E/+Az/wWf4Dz7Df/AZ/oPP8B98hv/gM/wHn+E/+Az/wWf4Dz7D bz6/HhJWGdZn8Z52qifgZPjIBPVk4bnrS1CfH7otXkb1B5SLZm9H/Wm7HC+B +ryjdewjqlfg5RH6FPWqjDWoiPr8oagsluobsOebAOpbuLL7W9Tn6FNe8lQP QS1Rywf1MEn46zHU5xzp2BiqnzD9EY806mezTqEC6vPtWNMDVJ9BPEH0yN/6 XFkri/oMzfKOL1CfxY9Le6M+y8sKbqf6DIP632tRnxNH/EMh438O4z9iJB6I Y+LRZOJpdQ/bgfpsYf3kIsYvHTJVHOM/q2WwEPV54pWlVzFf3mtC5zFfBh8I YfBRYfAxm6GEeELr+LhqxLNWhE8b8Sy3Pb0a543XxQLXaX8E8cv7u4f744+U DThvHAnM76f9FFTGmR7Bflr9vFAd5437zy1/0f4LYZxlXdh/xxou/orzhtTM sUG0X8NYnsgD2K8d26++w3ljPTt8oxzN955N5xXs79JWsWE4b3wRUBe4KPIJ 4qxaU3EeWO4ScAznDVGFrmo6b4CUkMe3L3/NG7ZD83DeABPZTyE4byz/4GaC 88YNsdQndN6ArtpRBTifrBzxD98Z/wmMf4eReGALE88jJp7YrCc/aPzgMmWi B8Zflj9LHuPvOrdXA+cN89MFDZhvgKZLIebL4APqDD77GXxej21CPEF4/HF/ xHOtSF8T4nk0L00Y5+cVzww5j6TmQExfxFmc9+SvSw7Pz5wTJljS+RAGC6cP z4e79Fh9OD/PCnL8TOdJUGkpcsB5crt97Amcn+UW3Vem8yd0/Dzgh/NnjPoC bZyfl/DNmRVvUw3bzsy/jfOqfW5nFs7PHy4Ys+l8C4sEv9nhfJu2Jt4D52ez z806dB4GLdOX8n/PzwlCNTg/g7HuYATOzw/UOi7g/Py4J5AzgJ6fbC74Cs9b j/iHQsb/csZ/9Eg8IM3Es4uJx6BMWx/n5xvGJ1Zg/DEDXVYYv0mz2QDNF/z3 adRhvhEPJ2tivgw+wMXgw1E0gs+49fazcX4O0qnppfMzXP4Scgrx3Jv6azPu g4oetTl0f4ETOQpzcH/hLcrJxX1QtTmhhe470LpTrAT3namJp4NwHxxj5vlJ Eevxls503I9WncyejPvglaX8D+k+Bd/5q6Rxn1qc2a2J+6DyL0UXun/BA55N ybh/vVZemo77YF+8eyXd12D6EnFN3Nec7z+zxX0wdbJiGt0H4fMYo4S/98H5 TcP7IDSUxR3GfdBBLfMx7oOx1RnydB+ErVc3jcV9MG7EPwww/mcx/heNxAN7 mXgeMfFEzcyYhvvgkUBZd4w/MqxoDsYvnyaK+y+IXnufi/kmvjXhwHwZfOAw g08Hg49p6YStuA8+CzyYinjuc7kjiHhKKohJ4PsNrjsba+g+DuVp3Dq4jxcN upzD9xs2MfyVdH+HqOqALtzfX5xx+oHvN6o6hDfQfR/Orzs+G/f9OPONT/H9 xtaaMyXPaJ3u7T72EN8PROtw9uH7jab+nx8PUl65R0pz4/uEBs3nQvh+o2bv rNDntN5XPLvuie8folYkn8L3G9YZDhJGhl3Qnqhs8ff7jcvHht9vwL7KTVr4 fqOo51kxvt+wild1w/Pm9msL8XztiH+oZ/zLMP4jRuKBNiYeLyae/cXmcfh+ w/vR+FSMP/bh64sYv8VM5V80X7huaCuJ+Y7epToO8y0cwQfsGXxiGXyuLOVa hO83ljv1v0c8MxuC9yKeHSzVpl6KJ0c3f5YSPS/88m6osqwu7F0rEz5JvIt4 BqcV7baohMvqd8dMXWoAcu4Ba1/P7CTGt1ec2XKzBtQSVvil/DwJVfs4/DWt 24n9zBUPfnLUw1i+rpudNuZwZydXdGBMCzmymSvik0sTFKkdmjH+sRVU7akM l+2pJxKXVoc/y2oDGUc3hYLLdpCU53lYnb+UbAqZ98FgAgt4ytKN99o6/cFZ xKPEJZvi/C1ynuWDTadhpdPx0qP8pdBZsmGaIT2/8W1WOJ4vG/EPixj/qxj/ QSPxgDoTTykTT0z1wkAaP8zM23cR409+e90X49ed47WR5guzbm8yxHyncM2z w3wZfMCLwecqg89JC+kWiicYXPUgiKfH98bbiGdVfqxXx/ou0iMm/m7BYAX4 9Suq78vRgZJTl52sqa6+CH8/P4/qGDyLbLS4qA9nOy+ONlvcQca3rjxe1PIJ tqv3X/OceBL6uFzV91PerriuqaZOeTI30Wig39QMCs6bzVGWayYXqv0ut4xv AZmiWKmzJpbgrbPdvojqsFCKw4VSqqtlL/o/PfW2gTNX2g5evFpE+gSuLamz ZYFWgsXLmRr2f3BOs/fjLqM4r37YM8Yh0OH3efj3efFM/vZCqttjhJo60P9b 7TmLnlH/eSPxwGUmnlVMPGvi95+k8cOU0be2YfyiRv21GL9A1m0emi809tbs w3z38lR7YL7FI/jAKwafzQw+kat++VA84Qar4iXiqR888SDiyW9yYq2LLot0 pJ+7uJCzmDhN1S9ZpKgP9e8yfPRvsoh4ri9XdGwhsV26bqzYO134sSHvlodG PcmW2vOlWqqdnIlLXXL0lDO8zDtj80gsl6wXETC9t5BNQj0j5n+Z6wZnZue1 3SrIJgmTNmo17mATx4ZEm8+RLqB/707KU7FcUD2duRTPey9W5MDz0yVbm+8U ZEPyEf/FeP5rxgU1PN8z8lz4wDzXg3kuEz90MfE7M/EPdY/2o/HDmDbT/iga /+Yb7wdEafxaP+9NnE71SiBpadStXa3ERGGUSck2V3gzs1Yp9UoBmZRjw380 lUXSUmKlv3/yhKHIhcXpVwogwoUj7gi1v97U+/kbtR8b8QPTGT8WjB+ZtmwJ HVq/CudGlUa6NJF+B8HIqjB3qI16OrmPr5RwmkjdbBzPIvOO6jSU2/hBemi3 4ABfKRww5JqI9oWgewLty0f8gBLjh9NxxE/GzAMn2BXtZDBmUup+/Toi+cmL u3DbWbhxY1bw4JZqsjX7tV2TFdWbzBOd0bKXYJZQ2apRtH8NpnzwbaT2q/bJ B9CeOuIHxsSO+JFi/CQ+jU8xpvq2wb5zfQPdrxfekshLeuMNItNfpFwsaCRR A3oHy3e0ktuN9gXqrYFw89DHO5cLGsEwdXRiKbUH1ucIH6P2ykmNGj9yu8i7 D7zdpsvoXl8BX/z87kPCiH86N434l2b85x+T/EXPw/lW+HCSnq84G2jpg+c1 CluVBtgk7UZNhkZwMDEK3zU21tngT91JLsuUVytjkwN+Y7WnOLyCrBdOH77R 59LbH7RdVgbHN8z66Uv9nDdKMf5O/V+su1ZtRe3PVGwcvP/nHzIZ/yaM/389 F/79XC1zvmP0ucAuNlOaQJ/b2c/divgoT3eRofjABIXFnMcpDjmrV6QjPrs/ zr5F8YHANc5KiM+/ngu/nztlqXwe4j9Zx+dXPd0H7y70LUd8LAZ2HBSk87n6 5/b6ubSviTZfWqggdfF/OOi+rrfqZ8Ot++MkHk6+B/wjfmA64+cp4yfyRoA5 8qe9xv8ZvXeYtWyREN77KmP7bOTPqkl7jCl/QG/rwLgYyhOlLmkd5I/7KO0z lD9Q8/mIOfLnyYgf6Gb8zGP8SJa8moD8X2C/4DvlLbgni11D3l4p5Cn/Qflv krbhIeU5aC4xuoM853qnUtNP+a+SyjsN7ZKCJ2ejfd6IH1jC+PFm/GjXvfgo ROuXvXtTBa07aPiySQHr7tCrIR6s3ykf38yk9QsPkn/UY51mb9txGet3y5Xt SbR+wXLLmntoVx/xA18ZPy2Mn12RFadQ3/iCx0yokWoH7zz9viNUZ5ZG861A fRM5I2ZJ9QrcTBx/9lC9euO44hTqmHZN+Uq0mwtOKUG7wogfmMr48Wf8dLsu mWV94BPp6OLQL/XogDcqAnXW051APuBK38rSTHJyitcafh02xOglFpq1OsML b91o2dJMmGRqy432L7N1H6K9bcQPsBg/yYwfodHT33JJdZHljfsGLaUr4Uqf 34eoo3oQcWZgfaFPF/leU3TN43Y5VO/gfLeLUxfmLu7i5lWoJm/U+eva6Xy7 fGd0ku12e7g6btpox7tpZGG9/RIeXzYIJoiOqmxzhOBNr7efvpsGsjODx6Pd bpFPQwW1V2/c62q9J5WYep33nXyDDREz/FZbbnOAqSP+IYXxL8X4H2sh/cRx TypMy5TZheeLZ3wcg+eZ+EGKif8aE//6ipbB5dWdkNw2ld/wXhXckxcNTpip B7ZJhvbr5rDIQ62eIv87JURpvpTfdT59uOTNHVc7s4roJzdpJA5Q3RudJupZ 7fKnXiYl3lZ7PMQm51Vdx/MGu0Evr8TP6plVsLvyZAaeH23CcRzP24z4h1DG /27Gf9LG7c/Uk2tJ8A61MpVMWpc+JuyQFPc//g+8qQlwpv73e7lb86WchZXO ER+OJtdCWPsZjb30fEoqqITS86/Vv5798bmezJG/pKiW1UYuhwjpeVz2+uPH TPfmhEXUDztWejr/Jn/Im/D14vfP9XBWwKcfzztdusftSc+/e3wqfBLdd5R6 1hW1KjcTqU09zyLPnfvj5/Dkr9HHBtnk0Zq8PSUOV2DTUscPE+n+sq7lzIs2 ev7oGJGCKHr+3NHaDagzC1SOTRAV+UQipe7O/FtnpMzKUWeIYOGV7gdUZ+6J fWjfB23kS6/1au4HDWQfy8t/y8k7UC84MXYK3ffbXHN+oJ9Zr8bM3Eb9qCge 0zsAbfBuIHzveHq+8Gek20Z63qI2SekD1dvVypIWn02DyJKHCf4SRA86yrn7 P/T9771lX7FasH7TA1gy/fsAtf/ve+npdV461H6oKQX9QMbaaG30M3Z5rxv6 +Zd/+O3/X/HD7/j/FSf8jvNf/uG3/+4XtlmYr4HYkUKaL/Sb/pDAfHncqt7i vUx8DG/ovYC0kW/G3/fSkM7CewHBuol2eC8WYysa8V7Sgt3u0XuBgJUvOvBe BP21dZAnkwJ/atJ7hznnBOT/5skroTvIE7D34UrnozzhWqNthjy5avpZ8DA9 72oTVIvn48YnKyFvA4xDeyhvIfnQQOzfvL2WXo+8hez1sTOQtzO2LzBH3nZw 5zlS3kJCQJ4g8tYlXOw01teVkB/GtF7gbXX/oMdf9RVqdgfrC2bYxFdMpvXV JEeP0PoaeuNcjOcTt66Sx/oSXD12b7dvGXHRiPTUTOmCOc7LZqxQOv3Hj3jl 594U6oflef/Ea9czwB8Z/ZrlWwYBo6pK8PxprTkGeJ7RB5LE6MMdRh/E9z8/ cjelmMxVOVs/XoEF6VOE492KHf74D2N36RZQ/85TxWSO7HaCfpPG1uCUYkif 3CE6gZ4PvyXTiec5iyZvpPoJP0/Wn0P97F7smYD6WbHfSFBDk0X8TBdzwNxi orFdPPmZnh6cWdV/VNsiEVzv84zue88mH+9lTbkX4wovTHqm0vNwRKfz2wZ6 nuNJRRye364W+N7mfSO577Kdo35LKxG3NxMbVf8YGpJUfBzeN8JMo5oPNdQe 0nr99WAdtd/VyBhK6iIFR2eNzRYrI5Mapq6Wd4v5tx1+2+HhkQmcpAsuCDfl vqP2Rw0qG+SovffoLE6LjdXky9dPcRbmnbBi1ftuJ+n7sMlioYz9xmro2RP3 0YzaHb99T3Gk9iCNc60rV3eRW9Z8WuVClXC7cInX5nO6UB56cLy5ZByRDo8f l9PAhq+X7ZLjDzrCqgNjO+h5CO/4cQjPB7RzOeP5KV4XB5uV6sjg277Phm3t JL2sN8Hb6yqI6dhxtSnVgWlfRYhBWzu0uFU1elH7PvXI2aedWCR7TjvrvEMR yTpn+Gt+OMVf417wEYtEssp+zzzEubd7+XzEeeq7ec2t1I9Z0OuX1A9pjzyW POzHwP7TuegW4t0fW9h1polsFlt2SzLs8m87/Nv+L9zIb9wWntTYt0qujUSf +JLce6uBCBt6crI0IiH+dueutXJt4Fbg+r2b2uX2GPa0UPu/7hf+437h9/06 WnR5S1P/7kNtoX23GkBLcMauNupnSpiTmxz1r3PXvvortZvEDck3UPtFiaZZ LRTPHfOm11I8ISnSqhbxrG2dFmvMW0o2vBSUKhrLgqkR5ct6rW5BUX5Ajj1v KWy9nNeXT+0HZ2yX6KH2lr45CYOXC8iltc/Gj3rHAqsJogc5P12Ft2fcMrno HOXArtjDSe0Ne2MLOKj9WN+GS7aScXDqydFv2fTeE93EYvDe57V9KzPdwAIT T9nB7NZiIuvWfTlEWQ/iI9/LD1H/YaMnfKN+SFyR6zf0n3Vgxc7R1P/hSLn1 aM/iE7RC+6VB1zBzys/MK+/fU34Sy0NPXyE/r044X2VH+Xnqx90vlJ/EaW6Z L/Kzc3DBk/jydqK/VHORr14diZZVkfqgcO23Hf6PXcdVVpXdDLye6gdBqZks rLk9NsA3CJqIl+nBlv/1lyNjW/vrKmLBtvR6Jvq3/ajZ76NXB3e0Lu5CP35e PA8PspuJX9mZzxuVmmHD1ED3C9QPcx7+fX6chVp5Km8XkbcbM5U3uxJkrYbu WJrqwthd34WkdLpgqR1r8eI9FTDkFbvSt1kHLH33llI8ySzF1+NyKJ5amdOD Ec9Rm9/+8FZ4DT9SijNnFLBJoI3X50k/XOBJ9xgRWi8gYevTjPVyxmpaL9bL 1vfOU5d9+kCeWYXWev5ikRVvfoVal7jDJ995iVKfPoBSyezLaO+0GWWLdnHj 3JcOi1Jg9aaJrufi6ByyZqbZk2OesNNxjaP1ohQyv8MuAu1cN2P90f6nT8e3 F/rRuaWz5/ZGjwBPqJtpcnbn1SKS4Bh61c6WRdxkFHXSj3uDZ/WmHcpXi+DG L35xtOuMMpqA9iG7OR3iOGdmjObx9GGT2xs9E/XbfEFqLuvEHDqXKryP34d2 kyOxfWj//Vy9YMcgBfrcwarrsxqU/aBszKoiGdkKMkbixpYUgy7yOZdn37Pj 56HKce+81bIVMOlKq38ytftbwYWn1C50IuDOB9FcSP+y/HuUBJ07DsbI6s+9 BJ/zfMZliOYS1ZAXdtHUflfZ0QXtv5/bxP5mGULnq2ytpiy725cgf7aIryWt u3fe6SKFY1nk0piqVqyvXdFHrmHdFRx/wFVA7d5hAk2fqf23n1aZ5X5hdE5Z f8jKP23DbUh8WXb7G81HmeO9qKur/YaRXwNoNbmeO5vaH9gt+BLm7E/aLnUs 9Lqh/8dPy/PweVVdbLKA512e9rhoUNHdqEH5/GeOEi8zFWmlfP79/x8Uhbxq 12SDsO3eEwdnZkHCyHNhN/Pc3cxzPQ7cwOfC4sezG+lz4ZBXo/Dfz42Q5dxp TecyoXydrCjbh3/sftWamj9/seH9jJ91/eQazDESPoX3Yv9wxyF6L2B4PLQJ 8W8sk3u/it5Lz9Sbd+m9QDVP5Ty03xofbB5Rkglbe6ctPqHNBqWPUzzftgSA j7MY56OSTKI/Q8oH7b6aiXVo//1c79vyH8fReANX2q0c7Xoenqq0aCEPj604 fovyDTbYCaxGvh3kTZyPPCTPsyTRPllRtjqN2jkWPj1hLv4O3GsEzFUesGFw VkDC7kIvuLFnxXkj8Xfk8SuTMLRPjxxoRPvv514qkqg3pc89xn+184mQN3ib ZU2ldU16oifJYV0/1+Jdi3W98rmviKLrc3It9a2AZxMbZhLNBCMPB2jh/VxJ 9QG8AlMmoD6cODpwDfXht3+BGxsRT9Jc5XJ9gOL5azKn8dorRaR14bo7H6xZ pC+ZL91K/QaoH78c5U/72ndV2a7OM01Q+aBYcRHtaztcTlx1UXhN1KOuNaFu ZBZWc0ymugEhD9/w136AGyYrA/UHWIS7JSXgTfHlf/OE/ObJv/gGv/nGPJf8 +7m/z4tCuC/lOVw8PzY9g/KcwQH+jYN+hkgk4jw6Vu4RxZkUBCdM3ENxnvL4 pivei3hZlSnaG7iV6v/GX6FxPuJPemfFTH1K8Ze71lgdSnlyht3jS3lCLIXq 4pAn56dpKiOvtHPKlqCdXFl9+G/+aDhsQP6Q2ORRXMifB/vDd7yVTIFOXyOL Nc/ZhJtjvWT60at/zu84Io38J0tv8zgh/1W1VB2wLxCV07M30f5y45b1buwL /6oj8ruOnJN2PV1K7bOnGWpNtDhHTtfMjStN1vt3vcPvep/xfSeeJ0kLGs3o ebjxso3gee+zsprY15LGa0rSvgb8u97KY18D9tNVqGMPFjVYUx0Dw5Mmwahj kwKiPqDu2dod7aW6B6oWIfv/1jfe1T2ob/Bt68F21De5XuUVqMPCAZUHqA7D 8cjPr1GHG9c7v0LdVvFdOAntUtffOf+tz2N5nVGfoWb39Kp6qs9Tf3b1LqX9 aJE0qaN9B7w0Ei5h37nw/NIt7EeaV+Wuor18OjmBdiv5AR3sO2eGVkTSvgOt 6xSssO9MlLjwAPvUqENp2KdgW/XTA2j/tTnDI2/GWxI9btbkpeH03lftrjh7 9ixM5oyMHZyTQbJcLS2N7dkkea7ZtE9p52D+oxDz8bUfiM1SKSkDyv/c1vBu 5H+OTbk1nld7eNiGnof6besya+l5Rdn+9ejfTD6Uj/qHoWxpV/TvxZ0rebaw EULGze75vLOVLBjMqzy27SIs+VZvLU9qIW+dQ+S+jA4ieFbq6OfkyzD9wOf3 LyRTyDQLuffIq3uTDPSQV3E39/Adfc0ml8PblIWtk8mrqY9Pae73hYkVVQVd +mxyos0pdJtJJtl94FpHsO9lSLvgx5mS30XWXfTLvbaijFxT6L92LPHGbz8Q xPhJZ/wcvl2VQP3Ar56vjtupn8Gjx7Xu/s8P/NtPZk1w5REaj2pVe7qYdTLE 8MxRQT/aO98cw3js7WP5VEwyIdoz/v7/Jx747SdjxA8cZ/wkMX7sfyUqYDyD C5c17aV+hk45z/j/xPPHz29eJVZ14LwBzyqt5+O8sd8/823RjLcglC5Vs4Te i43dfnW8l1W53+7ITCknE7TFJn4K6SJbw6PnL+tzh9Xt2S+cX+YT7q9Ni7gb WKRCa9/RijwP+Hjnm+3jrdXk0SWRSG/rTvLA/emcedu9Yf16ARslulem/owa f3kriyzt6Nk3p9gHPBdJrJ6rUU9Ojbrnt0eqnWi+2WsU5xQAlaKWvhJ0Xz78 QPhnf38n0T33RHJq9QU4/ivi/NIDn8jH7f1ymh4d8EjQ/RzHdD94yD6XZUv3 4mPqIm45yV1Q36p08vYufwh98Ti11aKSLF7Ced98Xhc4/HIQ9Oz2BKeCZSur vArJxSK19QF3WXC7dis48nrB48sX8lVfsWGpxdXL/FbJ4DSL/TJu702o791b 9EWYkDorsWstb9kQ8tiLs/+oOwgpdHpSfOBnqDE/xQcmdk7jQ3wGqi/yub7M hwWnblZMaGBBcPhBbsTn/KIxRTJ9LFi+0CfNnDefOFtVjd8d4wNnmvoisxey QfyCnfuoqbmk/nUMl9qY8xDoK1e4569/36Xgo3kkxc8XmkuSfx1uZsPrr9+y d9C55Hii+FPet+eh5V7TzpP7kom+oLz4y0Q2ZHp+XVa4xwMCIm23Lqllk73f pKOq6+JJlufRBzoGBhAvv2qv6mc2kQgpmlp/OYKIeHy0221rAG/fyCkc+MEm XS321sozQ4n1+EsFnpf1ge2z5HzJT9pXkpQG2NPuEzcdwZ9nPhtDrZfG7bB+ Oi9Na+S0vnqXyMy7G/TK2wjW7s1a/IPOeQondvReqDxPCpSLJR85GcLQnhOb aTwQnscyrKmLByHed/f+igcWjcQDokw8F/pm+9HnwjOe0wu/T7sPuZ7LPuFz l3WyA+lzIVBn533Hq3fBUjs9EJ/b65uNz4XmjYfr6HPBMzd8Jj7X7Lwd9+Tv bFI2al4tV80jkprkZ3vYxhAO+G/AfMHVfo0hzRee3b+UhvnuVrvS8ZTuaZ/u FVdabo4DwYLY9YrhesBRelEkr50NawK5Gm20Y+DI2Jjb53z0QbZAxGhzIZvc aZ3N1z+UQFRVbk/NeG8MR6YfXH2ug+LgwHNi5+QYYrqwVuZJgzHkiTlsM/vK Ji+eynlxdj8mZyZ+2/XsyUmY9fG42wFFFqlcs+g4d1wxYbXqxVlMo/vLoRXe zYIskrLfuG1zUQmZr1h/oqnXAJZZBoQ902KR22H3GrcKFJMF8TuNTsoaQteO 1o/H6H7oyHVFuD64gHgbe5uz/PWgZj47OiCKRSaNzg1aPreQ5Mx8r2UurQ96 X6dvW32bRVxvVSsvv1dIWlf4JAaU64O2zqcpR3xYRIX7eFG1aBH52m6yQuG0 ARy3yg/qpfOTrsNg8ar7ReRima7teVFDmL6Ga4tWEYt4JbA1HJYWkL6u61mh Hbrw9OWG3kWRXUTwpeTgzBZar7lnuSaeMYQvd75GbHfpIvetXj8ck1NODHZF WC20NAJjx5CwiD1dZL73+2++4RUks6IuMUP7JPSrvfusObuLbBJpm3s9oJI8 PaTyqni/MYic0SMfl3WRHdtLVp3YVEmyvq9qDptkAvdj5BOW3uwioxuTwrfv LifPJopmnrE3gbgxW6XiD7KIoMKxOCHNYnJSduf5QEEjKFla2PZSikUkgr8b DiwuIaM4BY9enXESTqs5v9CezCJtXaM7vn8rIa8/nnykN9sYxtjc7HrZ2kVi x1U+GkguJQczdgsNiJjAJZFzO0orOsmK5tFcOyKrSPqHvvA0LxPYM/5u9/tT neSae6FYzIJqwvY1LpadbgZNt7eV9M7sJKav3hiqB9YQe/Pcmzl7zSHkAHe6 7vMOcp1zrZkt1yciZLY8+62gBViZl42Vnd9J7Ju/qvhZ1RAPxTt31rtbgMTu yG+XnncST1lLO+vtH8kC5T3alh8toHycLs/3513E4N4uuXnZZeSI0KjHmlam 8BJeVruadJEqNW+zgHkVZOeuB+9SppnDtGsT02eKdZGKh7rZrxwqyYqvWrlJ n82h6aHf4fzCTnLK5Kqe5vsqsva2gLpTtgV03Y2Qz/jeTlLca62i1tSR0F+G R59qWEJr8/Xro2a3Ex2LeMO3zvVkl+4xKcMEK9C5sFttjkob6eSMznW53ECU dlStm8FhA8/dXslsn9dOJCdpOFbZ1JOoJdIbdkTawJdbO24oru0kn5b8uME7 v4Zkz1nr1rHTCmRHhfDM9ekg75r3fjym/IksjwhMbam2BscQee7vom1kZ2zD 0eC8BhLE/UTi8VwbSPhW/GkNRwuZJ3TUWRaaSYzHncGGBDs4aHR676K2RrI1 xqAoa3Urmag8M/PFGEfwVQptDB5qIg82pFqOWt9ChmSlT6/XdILaR6MWnotv J7qvlQ8IB9eRHiGLw5/P2UJpaYrt9PJWMu77rBv1ixpJADvGyznfAbplt58Q ONxIxm4LcVKJaSW6HI1BuaqOYPdt9I6VzZVkjMfcLO4JXWTxsv3aV344w5hB Obf04koid2fR4nGTuojhfY51LdEu8GaUU/HK483kmbWq1FBdM3m/fnbWup2n QSxt7rjBpBrSwRtVocvXSXbyrOrj+ub6u39wSK5Qz4+i8y/nYc67/O9dYX/E QFZqcSX0KOddQP8eRmds0b/mjoWHaJygcfGDB8a5/cWTUIzz/YBz7vLmSvCw HiPKQ+N8u1wwBePcO4IbKDK48TG4nR3BDUIZ3EbLjeCmln4oncYPe+slN2L8 cqZ5lRj/mCYLnYGkGsi/e1hJj8bveCBw82gav/3IPYIyc493mXt8MXKPIMHc 4wvmHk+M8Aq6GV7tZXgVPcIrWMLw6jnDq+qRewRD5h6/MfdYNHKPwMPc4yXm Hs8sVthCeQ4yZwb1keft65J2I89vWHrfojyHfZcX6CDPnW6aLEGeO2/n56N1 CmZhlcuwTlVr2H5Yp4vPFgzSOoWfmSaHsE6ltc13Y50OissHU55DxeM4N+S5 iUC/FfK8d8KryZTn0PxrThny/MHsnjfIcyPNzt1UZyBGK6hzO9WZ8o8C11Bn 7NkG36nOQJGv8njUmcQfYi9RZzYuvVJNdQY8etbtQp1hpXj7os5suff9A9UZ mP940nHUGYeh6heoMzLw9R3VVcjecmke6qr6xbcfUFebrqxMoroKm3itb6Ku qqyIikJdBTUXXqozMKc1UxR1plIyJQB1RtX4Wz3VGVirOnAIdea0V1cs6oxH ted7qjNQmtMSjjrT27jgNepMebjqCaozsCYctqHOrK/U3I46s2sH11faR+Dm 4cM/sY84qNoM8dA+wiWQGkX7CCicFwvCPsIT7maEfaT+6IWntI9AiYdjG/YR 4vIsAvtIRu/Hr7SPgF4Ia/JwHxk3LxT7CNNn4R3TZyX+2WchmOmzkkyfHT+h CvsI7J1YEY19RFsmxxf7iGjSyg7aRyBprJgW9pHw8ol7sY+oTo97RfsIJAm3 1GAfmePTdh37yPFP8d20j4DlkPN17COHNDVGYR/xbP4ZtmEaC1LSY3Jqc0oI d/uBtmrQB0le8fP7fnSBo4x4lLZpKfGaekZ/VZc+7Bnd2+Rb0QWnea7kbeEr IzkeV2TqAw1+zwPwex7w+ec8AJOZeeD9P+cBcGPmgfZ/zgOwl5kHfvxzHgB9 Zh64wswDq14oS7i/ZJH6oe+f29sKyGKdKcL3T9F5rNAs9ulqNlH5unB3L+97 MsM2TXSRlR6tW4+ePUvYxMTznLBT63syxLsmRWuuPiiPahG+JsImR47nW0Yk 5xLjocU31XL1ISIMDJwF2GTo3ptTvjfyCI+DZdB4RwPInOU1acIYNlm8eaIh j/kH0qS6JsFsgSHcnxekVj6VTbbaqvINncgjut5xL9pm6sHghzsRg+NZZEJ2 upKGYClxf7YqrLDZBMYflkt75Mgi+2/MenDDuYjsShI0/alqCg8rJgQEfWUR /aupHyqW55OdNrKnJZsNoerL6ji9GhZRPhKS4lydTyIWuG8c7DeCT/73PNal s8js/GrHh74F5MH2rzbj+I2hG1TGiYSziNbKa+zNqwpJ/O2c9avnm8A4uYbj vJfpfiXzQ2RfQyGZc8opx321KfBc83ydf7SLTC0+2hJhU0F0NKYKuG21BNCN UUvSY5GsVyUOhn1F5GXw2QGbr2YwvqPW4Y00i7zfv1Vo7IIScrZERml1hzmw lNSMi351EWXTCqkQlVKyyHfi0OxKOleMX9YZxm4n84/UdiptqyNB2jm85Wq2 8H3c1cyf7R1k4uryT+XbagnPja4wNUk7UFeu5pj9gvqJ6mtaQ8rIDG6rtBND lmA5uuj6L/kucu+yRoLZ2EqycZnG5i8F1jBzw5fm+3GdZM+d2PtdWz6S+8sS DZKCbEG+ZKrH9GktJHidkPDJhc0k+oatY1bCKeD99MOxwqeV3FF1OBnn00j0 MrwHDH2c4USn4lfRdx1EU6zkpGZRLRFpPjilxcYBxt521DVd1k7upG2bUK1b T9Z847HKNDsNpVFJDZkGzeQBJLjYljUTHZ/lIT8U3GDGdj3lIodiGIoe1Zev wiLtFotcHm30htUj8cB9Jp4XTDwTR+KBh0w8Jkw8jUcVL1H/EPzgQT76L7aa 3YT+zUfwhIUMnncZPL+O4AkCDJ68DJ6aI3mBHpOXOJMX10he8IDJC5i8xtRs eEv5AAbKhzORDytzkvpdKR/eKq0YS+8FOjwO5OC97J4pFoX3cnen+i16L5A0 w/4J3kvqUIgs3svyWKVWei+wQmn1bbyXZ56HdfBegp93R9O6gBVbE9diXRzj STyPdZFlXppB6wKsx0ZfwroY6D1zAOvitlX5UcpD6Jz3VA95yBL8WI08JIvq TlMegts9HQ7kYci21jXIQzMbRQvKQyh4tX868nBXenEb8pDRDWhkdGMpoxsL WuZi3YEwCA7X3a29s05h3fkvKMK6A/6b695g3ckusFmDdRevneVJ6w52iry1 xLrzWzpggHX3bD7fBFp3MCEgtwHrznWwexHW3VZPhRO07iBurg8f1t2PlKwY rDuRRs/DVDeg2FmXE3VD+xB5irqRKZr8nOoYWC7PkEMd8y/j40Ude3D22heq Y7CieCI36hinm3EM6li9y4vZVMcgXGW5LuqYaMrW86hj/G1ZqGOQ6PHdCnXs 9RWTq6hj19vSUcfg6NzZuqhjKx9MeYE6doOrx41jIpt8SFHoXMX5gRQvXDO1 OcUQOLTu+Rlps8kl8wsDO1syyZ5tkRdOchvB+9XjNJvOs4ngPYnLkTPSyOad +Rfeu+pBfOoKuWRvNjldNNaxJyWNSGQaiynK6kN50NMGLVc2mdil7sRnlE4i JuWq3WzVh4/vbjnmOrBJ/ukHJeMEMshzf7MDqbcMALj2TuawZJOzBnyZpa8y iNyo+3LvdhsCz7ZtsT8N2eTn6chLTicyiYDAJdGrnEbwnKeqY88hqttTy2uU 27NIpqLQrZTtFLeFLtIHv7PI5fcfNp4VyydBXeWjZhabQqnzmJOFx9gkNOz4 QLZRFhEx+eV+RfgkSJ1od43czSY7y995FTtlE31/ldYCMIYMnaU534FNPn22 GaNzLofc02qY5a9lAp0Hop8+XUFxCz5QbRH0nrgn941O8jCFJ46Fc3pHsUiM /pWCrzKlZFbHo0OuzyxB0qfMNPk5i1ww12zYzkX7Y2P4TbFZVhAwZ7Fo6Aw2 8dG0dWsSyyPp+h3RQQLmoDExdPT2fhYpz/8eNsCVT9g7G9l7p1rAl0cWXbxV dL9uljwZ+DWfpD8dtYZbyBKIn+kjjlcswu954Lh0cwHJ151mGSFkBcviO4RE v3WSuDNDTnGrqohV7pqd/WPtwXX0PZGdpiyisOLTze7sIhJx4tLVRGEbCEs/ t276LBYpmMwtbxlVQt4XaMsEidlBe7vnRWeZdpLge+flPPV60llXnL1ktwt0 pVxfHvmgiwQWVG+VEiknn1/f8vmU4ACjo418Qq53kmPXtG9NSvxIZpWbytmE OoNyO8ejc4N15AIsDvCwaSeRo1oyruuchSUtGrVfQ9pJeeo0w5T4OiJ35FCK QJMbCI5yiPEbrINrheYynvS891q7gzfoeZ7aK/zJao2w+dzphI7oViK+/MkM LVVfaBmJE5KYOLuZOM0zjVOof7BOFb2G/n9N1fqM/peM4AOvGHzsGHyYvCCY yesbkxfXSF6gy+QlzuRVSyaL03sHY8PtcXjv/Iq5G/DeZ1zSsKT3DnKZyjl4 7xzS81zx3jl0xMQo/tDQYu+H+FvKiXsi/pXRaesp/tAxf5MM4n95tsRSxH9g y35Zymc4EpsnhXx++Xp06wzK53WfWGKUP7BA8qAu8odrjdZ95I/ijO6xlD/g rLT5OvJHw5ejGvnjbLi7m/IH/J4fOoT8qeJ9L4b8qdjV/oTyBxoTTm5D/rT5 X1VD/jD6AEWMPpT9Ux/gCqMP+xh9mCOuhPUFmSqd37C+jOYuc8b6Unjn7kbr C8K9zU5hfXE3rP2I9fWQLfKe1hf08yv0atP6Up7jPwHrq82EK5zWF/RPUU7H +lq+xLDzDa2vd3vYnbTeYfrP71lY77HSz3yw3iVUTFCXYMe3IB/UpWUZ98+i LnXv9kRdAiv2cUvUJXn5zTNRl5ardaEuwSPeGzaoS5xPHu5DXRI1y0Jdgtqy pALUJQXb7SqoS9XqhqhLkD1rYjrqUu8OJxnUpdl821GXQOa277Audbw2Gtal ce9zT23NZRPhwsP3uM0TyU7db+njk/VA5nOB31AWm3jrz4mVOvSGjH9e+H2h vT5sqk72u5vOJhfmthVvWZdEhCRmfpBbYQAiWWYuEu/YpHZvfMc6MULGbdA2 WtlqAI8HvphcIWyynk/ddPLoZCIgYtEidNcQ3oUtaXC+zibzSzfsPqeZSsZx rq6bZacHunZGJ3Nt2eTwt1Tp0H0ZxDeDQ4ZzvxkUXfNuq3jNJpOmu6w+b59M vkWdiD1zxAi0f35JvBLHJtKBytuMZVPIDHi9NsL7JLRKXZaeEMkm4+/9mD6/ J4XMPV+VdT/eGIQOOp5YFUbn8NX98i8i3pJ4VRGrw40msEDj4jGRe2ySWPNO fu7Jd2STtdHOPH4zeKWskZBwlU2S4qcpKfmlkk99EsXmZuYQv0h6s64Xm/za 2Vah/CmNHPw5pm2DiwXEbN+lKmnPJvJrLog+l8kgkjcS0y5csIRdrXOUrYRZ pPeGwo/MsBKyt3njm4X99nBCPXPNXT02sVA9lzwrJJOc094nvPOFFQhIFmyN 2MQmGrkvH44xziE5H+OUx3TbwGaeqL6c6TTfjcqFt5bnkTtFc+cKLbCHPcrW JfFyneROyqUwt5U1RCYkT1kswBVeFxxtv1DMIoujVOKL5hUQy/XdnWeNnSCj SuDUTgUWER/a/dOBFJOl3Pd/Lgt0gZ1F/g/LWhtJ31xtJ8PVrYTNXsejMsYX tuxJVzpS00nEnblX2d+sIqyJM1OXTj0Ltwvmxpe2NkLbG8kdRvT8ga/3WvH8 C50snnl0PuSOC7NOKG0m+RLCd7QULoHySJwQxsS5lomzJjh0EfUPz/pi09D/ 443ycsuo/50juEEfg5sqg1vCSF6wnMnLnskrfSQvWMTkJcXkNVBoKE9xBoNd ++8gzn1qSZyIM2fHVwWKM0Ry1J1HnK1XT1iPOHctlP1JcQaRM4lZiLPKnW0z EOdfx7WMKT9Bb8enOcjPp+YfhZCfYcdXv6Y8AQP3DauQJ4ZcTu+QJ/43lLdQ nkDZlVPJyJNTnJHFyJM9u8LVKE/gS+1lLuTJFHcSjjyROOiDPIdrKwyHeW7A s36Y53qq099QnoOg9JzNyPOPnBNkkOeb19Ugz+Ggcgwf8pwlH5yIPBcXYiPP YXz0neXI85TowxrI8+xGKXXKc4gee3Ax8nySi8gK5PnyfH+sR5C4WrIV6/Hi g9JSrMfl9v2oD+A27voV1Aelb8mJqA9w4zvqA8wq7QxDfdCf+JSN+mDbXo36 AOP2bs9FfdBrGcpEfWh45I76AE7vQppRH7YNHdRDfTg7fRD1Ac4+FDZBfXhu ad6E+nCpLsImMolNlpCUvo1zk4nNHXb2vENGsEyuVeVEN5uYRSmrzr8QSXoO W9TO3mgIzbIbqw+z6bzHbvVr3RlF9u2aPMWa3wjuyV2PulBN571Oll+T2Qui Gj0Yyg7Tg56m+O2SHWzi1K3VFrsmhqS6FFSJSJpAocTB5+JtbCIhnf5ScFos eThnfUqCjym4mqdFxpxmk4s5a5OnvE4n6vdPiiy+YQWtPrMUG5rZJMK7a1Cc 8zlJKvLVbecwh4E5c2ftbmAT/rpbOyJOxJFJz08Vf55pAXr7MxucatlEr+Lr Nb638cRD8bhApYwlJBlpPzWuonNdy48eRbGXRL7z8tc7u63gOZe/s78Vm7x5 I/+S71oGWeBndz1PyBE8yp7s1i9mk9urVJflqiaQXX32ftxTbGCpWid7Xjab cLq0Wu5TeENkpbuOhhnZgU+JAN97imeeMtc81vRkIjStcPTpFAeYohHAY1fJ IvsmTcwr/p5PznJqdARKucOTgMkei+6yCdtQ/7jSmXekkReyp0idgajsm0G7 rdnkfKjE7IluGSSkY5+QeZ4bHLO82Fsp3U4cF/XmRh+rJ3F6KtbpyhdgssE6 eOPMItMkF+Yv1CgibGur2EeDARAUNWknPQ+aatNSYuh5j6qy3Rn0vMBIPHCY ieccE0/sCA7wlsFhMYMDEyf0MnF2/TNOuMbE+ZSJM1dCLpreIwSE77+L93h5 Xw0X3qP5Wu49FE+o0wrkRzxd4xytEc8uYYluiieIl/3SQjzb7VfuQTzLvEUQ T9h7wUoU8XR12TcK8VQb2ol8ANmCSZ3Ih8XWFoeQD1MaNZAPkHGkcSXyocjJ PQX58HXqzEbKB4h4o++IfFBbeba/gvJhTnkm8gEUA68WIB/WCNZUIh+YuoBl TF3YM3Uhm3E4lJvFhoZpdddCO6JIvuot8YcCJyEzsfGEfieNx1l06f1n0WT/ ig91horGsDR4b1l0Oxve5MybfMUkhmg+uzNt7ikT2Lhl1Pj2VjZ8+77qitOy WHJwwZdXaVGm0Hj7BdYRcLZ0uWAdyTxWDcI6+njw8tqiHhr/1XVmhr+eETX+ 7PmiK/Xhs77O6n78vlkSdGtpSzg5aHf6lHinPpgnrXcXpvaSdzeSO/IjyBY5 R455jwxAVvzErFXdbOiRCbvyICGSLPzeaSusRev6piDnLjYbgnTn6S/aF0U0 zMaE8M02AtF3ebPx3781x9nP35pmvuFk6bFsT7onNgbcsvlK7Xe+3a1pDjy6 oYLPcua0PkMI3xyhpzrAJmuf931apBpMjnm/2filzAwitgdH/PV3Vzh0N8qF NLQZQfr66Q++/GWfcf9acs9cY7ju8tav5y+7Sw1PIaeaCcTx3zb4/Jd96Zu2 cr7zppD0+dGav/5+C8frMR7FIulm0CN8ZhTrL7vovenTFb+bwzfOnosdf9kf yq46ayhoCW0zYvpa/7LrkMM1fiutIExtLF/TX3aHN3nNT99aQ8La3e41f9lH eUoEPp5vBz8TlDeW/WUfMvbODvV2AD83d4X0v+zfO8Ofr9ZxBv6bY6Y/+cu+ yXBMn5UP3Xe4N6SI/WXX15Q5akn84YZu92j1/33H5yAbTF5t8fb57f+PnaPr H/7/2BUZ/wI3h/P6Y3crD8zFvK7oDuf1xz6zVtUX8xLIGs7rj33BqDnpmFfU uDi8d6gqa0vFe98XuHQe3vvcrcP4/zk/WuTOGMT/nsww/n/sx+7mmCH+Sw4P 4//HHio08A7x1905zJ8/9gzTJQ+QP54Kw/z5Y7e9l/4C+VMfMMyfP/YdkTZv kT98EsP8+WOv1vB/i/x5NjlszV9/D4ejxPHEC+SPbtqsaPy7N4fumL6fy2u3 YeRXHyJl++XQPvnV+1kb4u02jPzqA2+HxSv8d5tak0MNjqrbbxj5NQCbVV5Y v+TotPOnaP3CDnvLFVi/M9SOYP0S7YSDobR+of0EvyfWr1KDLNYvKVzyMpPW L9i86RuL9dv24CjWL9HcsuwmrV/aj9WcsH7P3+LH+iU3CwINaP1CgNuxR1i/ gZu+DNdj17sxSZKqwZC1etQmvBevF/tQx8jSt9I3qY5BnWGnJOqYNXcx6hgR SgmVoToGarfKulDHHp+WQx0jT1dVzaA6BnbkuCTqmFBb1TiqY+TSFNGHVMdg j4hBEepYl//U4X7tm7Wbcz7ncyhZa6mP+nz61Yzhfl1VP7CL6jNEtWqXoj5b e6QM9+sdVw8FUn0G+a0KgtivjaSODfdry0OHv1J9hgtPHb+jPtdx3xzuy0kC +tK0j8CNMM/z2Ef2h1cM9+WazG92tI9AzN0fGthHDJQHebEvi3j7zKd9BAYn fhyPfSS8JMsd+6+WxxFd2tfg9l31Euxr+3oVh/uvagifOO1rUDu7Uhj7mnFE /Drss9UTOD7RPgvXP75/j332VbCLALXDhJVibZLUHubKZfOY2hn/YMD4D2X8 7x3xD5qM/2bGf45JH+YFQhseT8O8anW87DGvKZaCw/1x+tyJBpiXY/O6/ZjX Cw6e4f4Ynt2H8wY42R0bi3ndHvtzuB6DWr/ew3t/s8NyuB6PcykM901uATMW 7ZuwrkpNDe/livPh4b7pd0xBBu/FLMroHd4Ll+KU4b7p55B5Cu9lwjKTX9g3 s++kDPdNg/HfivBevIpSP+K9+I9SHe6Pjy4tu4G8Cm2PWoC88iuvG+6P79pM lyGv1j5ubEBeHb+5e7g/fp9vwYu88p8QNx151SAyhLyCZPC8irzi0BufiLz6 Xr/RuJ72wR1byu9HdT6DtUHb3JLn6YNh7U/hedT+oIRD8VxiOKjw6xdOyNYH mfWcbsdpH6y+TgeLcxGwc5vDyj3mBuA375Q9zr25C9zu0f4O2hGbc7G/P9q0 ywn39PZIo0k85onwU8owE+fwZ9eyfXFP/xJo85PO4aA0+WEfzuFBnOuH93Tu AP/vdA6HsMY9BTiHP3xlN7ynyxlEttE5HA6e5jLBOTxu9AVT3NOPto87Sudw WLHNrR3n8Pr+wOH5+VvZL1/a9yH6Mccj7Pv67+PacR8fOLZWkO4poCTh9hL3 lKmG65NwH7eJOTaX7inw5dTojbinfJj1Uwb38YVu6p/Fe1JA/vzuD7in3Pwx pIX7eEJTvADdU0BrwRt73FMaBuSO4z7+2KSMj+4psGu5jAruKV4HF8fhHM51 /9J2Or9BlWOGGM5vQ/vEEnFPT9lK5tL9C0wzastx/yp4JbMV9/SQmJCndP+C DzO/duH+dV/r/GHc09eY6HTHymSAHndTNu5ft6w83XHerrm8bDedM+HLyuu3 cM5UvDtjHe7pVUuULtL9EZ56pM/H/XEZvFLEPb3g0nMzuj9C+oZPqrg/Nj6C X7in880LvE73R4hZw7MY90dhmZNTcd6OObv7LJ1vQYnL7TPOt+aZDV24p99f 2RxE91mw28wx1ovusysn+Ljini7ka1xJ91mYsr11/HK6z3ocO6eM+/js9nfS dF+GHScNvuE+7vlyXY4Y3bufstpi6d4Ne8D1F+7dzHPhJfPc/cxzY54YL8a9 O/akyVv00/XQxwD3bgYHaGRw+MngYDYSJ4QycZ5h4lwxEifMYeKczsSZNjEo Huft+x5PF+J9jV68dhzeV8XU1+txH98mOsUc8ZR2lOJBPIU4a7bjPu6Y/vEI 4nnuprQi4umblop4wiqt8ecRT/cxK8URz3btfrx38OVv4cF7b8mXysR7vy+x RwH37kcDqy/hvTeJBlfgva/R/XwE925RQYNCvHf5ry0xeO9M3UEeU3d6TN0l +sYjz8HOZt4wzx+7qg/zXCj9BPIc9igtFUaeB8O+NchzyfkKsriPOywTakOe f5bnf4s8f5hgrY37+OnjR8ciz/e6fNdBnp91K0eeQ9xVAw7k+a+1bbLI84Iu e6x3kGh6xIH1PiZVOgnr/eX6bqx30Bu/tRvrPUbv1Ges9/zJR4b3bqOkTjbW +8BD2Rysd4MbfsN7d1pFcCPW+80N3wyw3i/OvYn1DvecMw5jvZcHurZivec3 pR7H7yYuQTuiI2ekwehDIZfx/WToJiUZ/G6yf317SE9KGsw8HSuO7yczX8yq w+8mSwMGnvMZpcPCbucj+H5SZ4+qHX43uRf1TXi8QAaUFnsexPeTn0p3c+N3 k7Uz+GeXvcqAVTemrsL3kxc3nI7A7yYliw59dTqRCR5Xjg6/n9QLujT8nlCl VB3fS0Cai8vwe8LldhH4HobsU7GaHrovA+IObZHF9zAvVkbq4neT2s5E3Ryj LCChdp74XlezTfwUfjcJaOjsLXbKhp05y9rwve7Ws72p+N3kxzIdW51zOdCc KiqM73UrKzhC8LtJp/iofZZB72Hj8ivD3020Pc7OwO8gHVMeczSL5UGHp30s vsde2DttQLGfRXznS3UMcOWDjl5IN77H5jzR0YDfQfYFOUYFfs2n+0P3anyP HXO+MQi/g4wRjQqVbi4A+zmSFvgeu3XPxR34nnBTz7iJWWElkKywOwHfd/0U XiiA30FsbRK6urOLYPGly9fxPfxjl8gl+B3k+SKRy5ZRJZBmFSON7+G/q2/L H34fuIr92m1lDdgHX92J79majrnPwO8gVXu0oqVEykG5d/oV/F6Q4LXKGL+D vDgUxDs58SPYZI2Sxe8Fr+xPhuD3jhZ5heSU+Dpo/TquAL9HNC9Q0CBqjSCx U0e5M7oVgmxu7MTvGt9GnguPmOeeZp4bcMjeC79rmIBKF/qZETeFcwr10zKS Lygy+WYw+TaMxAl1TJwHmDhfjsQJhInTmYnT49RjQfxOIbB0fw3i8/+o+u54 Lt/ob4QkDVFCoqUhDSWFHCGyizIaMrL3nmUVkczMVBKJRCIzLnvvkb03H58P hYrSc199Pb/n+f17Xl73fd1nvM8513kfn5OGh3yxfvpMp/jxnGLykloA1k8Z sj+O9VOh9dYc3+M5vgncgP2n9e9eduw/PNJynHhOQdPnOzpO2HefOuUNtu9B ap01wr4wHufWje3bkljyb06RsL96As8pNpokPcf2TRvL+zenmFLWjsNzivtq VYHYvpHS79SxfWk7l7B/QsszOW3snyTNd+7YP53li7B/QmpY1DT2z1Ye9n7s n3zMkxV47pCndEYf+6ebR92/ucPYN5W3eO6QHL0ijP2zL2bDv7lDS9n3f/d4 GuGLwjhelA9wd+J44f9z7C6eO+QsFCXhuP7T6uiH43qkLg7HNShqSrzEcS0y /3gPjut9tndwXEPDx3PpOK59AtSu47hOXnmI4xqyGXew47i2KtS6huP6wWlD HNfgW8/EieN6bZD8b+6QwOCO4xo45E7/i2sjsbP/4rot/bs3nufu1zzUJ0Td BDnkrbvwvOajTu5jPM+9Gi4uJD9ZDcxnLgfieY3m1pcfMX8m+Lqmx+K2erDw KePGc+dfd/9SMH+muX5NxnWqHkIYLIrx3DlQ/TMH5s/QMfpFphU3QNuf5//4 M5UVBgaYP8PhVxLjH9UIHRX7XuK5s0U9ExPmzwREaHtstmoCJYPjhXjuHBLn 9W9ua7fiM644UwO2QwyReI7Tz9d1Es9tU1SGb/vsb4YidsG/eM416OIcgHky yKqgt/tkM1TkjHnjef2b0PRPmCdD5ynU/qC/Gbz6Tknjeb24B5Mn5slwslE/ S/Bvgfc+IS54Xv9uNZYG82RUPWGbpFArkHwvX8Lz+hXVvxqYJ7MngFNaZbQV oq6UNOB5vTG1Eyee5wZLfB5dOvsVKkpCruO5nqOZmBGe556Q1touu6EVfoyG RuC53n2wvob5M7HbqN4a/yLw5OH5DQ5LlhDoOGiN+TNdub+k6Hk7IMp+Sgnz FlzEgvUwfyZsbqtu4tWvYCu5k3pvjzW8HJBlxnPbETnhqM9CvTB/Pk8KzyUr lx8t7cmZQ/w2hXuFUSfkl3XUYz6Gh22+P+bJXBcUWrKk74FrXhUymI8Re4a6 C/NkbnCZDc5J9oFtP5MZ5mPsjpHxwfNcLan31QfujMBBckcZnpPuGo7ox3yY HCb3Iu22QdhG67kf80ZuTb2/gvkwPy5fFujXH4G313OcMW/EVWUmDvNhLlHJ lTp0TsDJ1a2fMV8l+FBoYYtzOzA3PhJtuUom+qHXjzAfZtd/7wWd9fceXn8v 608bZcx7KTM8s8OReM7C5O9F/JzY//QAk+t6WF7XA+t/54Si9XOyrp9T879z wsr6OVPXz5koncWD57PCUsZV2I4lXDmi/+xoX2mK57OvX8j/vELYUVSA4T62 4+nlrhVCz7AkvZsW6/li+8McrOfUPKlAzHtJKlAex3rmvM4kgvWc+O5mN+a9 2NfOd2M9551NMcR6vijz/vS/ue2FISXsz2OT2mPYn0mKkdcxvyXAuSMU+4nC ytMxzG/RzBmyx/wWDXqOE9hPPk48F8V+wmzoboT5LYPn/WSwn4S6989ifst6 vMOh9XjP+9/xDqrr8c66Hu/3HgfjOAJNjs3/4mgurNYLx5FGhWwm5r0kFTc2 4Tga7t0POI641M56Yd7LPoPxJziOLE2jzHEcmQ/fpsW8l6Z+hw04jiKmTE7g OLr8RucW5r3UOKaew3GkFrjtM46jg7p7/81tD2wq7cbx/vHIZACO943npDMw 7yXW+p0dxp/zQsa7MP5cj388j3kvpxeLxDD+xJdszMP40xXBxYl5L2e8c4Mx /nzROhKO8efn+HuMP+DtohWB8adQ9VUMxh+1zOMYf+ATnfEDjD+0AdEFGH8U dybyYj4hqcpteYaoWLjv+3JiXpDPt8YuvO8wOnjmwsjLFuhJKHTE/MbDS8If 8L7DjPm7Lyd5WuH3LgsjzG/M2FgmjvcdYpjnrU6+boUvqaHFmN94ZWh4C953 WKyJ/9W/rw3U7LoFML/R1n9/BN536H9gtSYU3wZ7mvgdMb/xHSlfHfMJR+WL 9v7VaYQVf9pszAu6GND6AfMJ5zIPXLvL+hXkVEyTMG/KZaq3FPMJ8y+2ZUQ9 aIMjq19MMW8q8YoUH95HoNFgHGTTbgd6nwNhmEc6/eDIKN5HSGJaDfrN1wHd vIx3MY+0pvlcBt5HECzQ2/JzuQMG0x+/xzxSHdaSSbyPMESKqfxd/BXqs2M5 MY+0k6KWh3mDnp/MFtLsu6G0PG875g3a0EbQ4r2AwBRFjQO1neAhr5WJ+boa jcpf8V7AJNf50MAD3fCsUrka83Wbl+mK8F5A0q/cuTznHvgd6teC+bpnVUeu 4r2A2jee/tr1vRC0mqaN+boJcVz/8QkpPzH/DW5UFf7jv50XtC7HfEJ2ozhK l/QgXLnxIBHz3/qWy55gnv/0zEDVtkMD4GEv/ATzn7VkPv3h9ptF534Pfb+t OASZD+nrMf/ZQuraP96gvlI3p+mRCTgSVPyPp6dhec0O8wa31pjZfvYbg90L 4ouYp3etVnw75u2/2KLqtOflMAxNrlpgvnfnb5pbmLfvGiKbP3JsDMarVCMx 35v7BNt409wgEvaaPipTMAulj1mp5/q9oeHtZCjm4a+xW9n8HZ4ABwfxVcxj l/zDYvqnaACR75nTGmwngcQAFTXt/8fDjwzu4dX9S4HAC2o0vjx+YPqpYGPj 3CDc2KGQiZ8vIPVaDz/f5L/vApP17+Jf/64b/30X7Fj/rr3r33VKv+wh5tVb BEh44POQUheYLhLnObtNv3q1aAAylnc54vNkHNaTw+eJ/88ucGTdLhrrdjn3 n12Ae90uCut2Uf5Pb/B6XW9j63pr/09v4LGut+l1vX0V2l6MeYn1fCat2N/C T+mtYF5ij/vnEMxvFzeKzcD2tTZedcP23ahcSYX57X4saWRsX9NFrQps30Gr A//4hywn2AHH0ZEMSiCOIzEqN8zLhZb3Rq9xHA2ePqKC42jmegYD5p/vXKiV xP48dIcrGvvz5tWnvZh/zrYn1Rn7cz5NTC725+ti7uWYf27PI9KC/fmzlyLC /gy30zQw/1xzlM8E+/OT83/ksT+v4w+Q1/Fn/zr+UCn04vgFNm7fXhy/zQ8T AnH8im97PIZ54Kz2hx7j+NVco7mB4zc92DwT88D7py9T4/jluE0fi+O3yr1/ BvPALccgG8fvO+UP9Dh+318IwrxliNHjY8Y441/Ok4pxZu9oWjfmdQcd3X0G 4140G8kS496PezMY9yBWhzYX45623v1/vO6xYbFLmNddy1hqjnHPNdfjH6+b mvXwVszrXqaf/oFxr/fvm3+8bvbNJzDuwdZ9R//hXrF96z9e97Invy/eR7NR /kuWaOuAzieb//HkyycUEvE+Wv8FzZ9SO9rhBX+kIebJ357WuFguSUY9Nhu4 vta0wxOuYqm44wawyR092X2MjMJPFN5juNMB9KdKcuJrDID18ZsTedvIiKVw WwqidIAl9driPgND8AnnpU9anENjQfJ1y55foeqVgPduGiMYoB5fG+maQwX6 punvWDrhkqzmN48XBG4fgX2BURgnpa2qUCt0eT7SaynRB4v343HObWQUJB74 uuU4UWeW3jfLmdUHYR+JYrxHFka74azOpR4IomWZxPsO/r0jeXiPrC7DMv2K Uhe8i6muwvsOVEUNFLzX1uZ3gZVzshM0ao5txntt4omXU/Be2+9cxgK6ui5w NF9zwfsI765/foP32lbcNbY8+dANt7n7yvA+wqvJEBLea+P+niYUGdgDCZnf EN5HcHouuxHvef2pV1Z+YjsAQtcm/u15aQZ4LuE9LxU5ETe7K30Q5R+mi/dH NtI+ksB7Zw2SV3lk03vh646WfLwPYnWRbRrvnW3ovCz+ibcfBDvshvA+CIOw cAPeO6M2U/a9Ez0Az4IM4vA+iGCqUyHeOwvh3vLAYcMQcP/WbML7IK0naW/h va0p1lO1HmGj4PWFA/B+jZt1xb+9reLDSni/BhhYLv7br4m6qXgC74Wdnm15 /PHCMIRvVTLA+zJFxnR+eC/sxW3ZB6UPRmDVlUYU78sM3RK+gfewTrqdaK45 PwWbjpXU432it1ZP/u1hyaf2430iuFHD/G+fiONXMGV53zTKuJ93/2XjKFBt jBDD+0EyjNmleM+rfpP7C0GYgElDJuaxfEewDZp2e8XUj37r/qY65k0CBR71 DSIsXkBXeJId72ft3rs55+qnKYjkbK/De09BDRpvTk30IC0edwrjpjn4/PGb E957+r94/mVX/EAcgefFW82M8zy9wf17TcYLpn6Qzpixx88fPR6kiJ/f9993 gcD6d21Z/674/74LlNe/S3P9uzxrt23Fe1gHLQSL8XkcOmM68HmyylsP4z2s RuZ7MpuJ8zBnZn7F52n6zy5AWreLz7pdXP6zC5Sv24Vp3S5s/+kNPq/rjXZd b5L/6Q2a1/U2u643L1vvf3tMy4Fn+bEfbp46F4D9ULv8zR+8x1Taf+4W9sN3 cVmK2A+ZxkcF8Z7UxMS8G7b7UaV4TWz3K0tLAXhPqvZBnhO2u10Gyzlsd0Xp lnK8Z7STqpgbx92+ly+acdw1FXYV4j0j+v6DsTjulIvU/+0ZfZMal8F7T1zF k5uwn5dyz8RjP087OETBe0/bBooPYT8flOArx37uUuOL9ythJqHRCPv56tC+ YOznMz/1q/De06aqITPs5/YBDIXYz9fxDezX8a33f+MbDK7jW9w6vqUohc7j vaQjfMbbMQ5IqLJvxDhwh401Fe8lmbVbf8I4MNPYao1xgP9c3Fu8l+TgRk+F cYC38u1njAOu3u/n8V7SNuesQxgHnO9VpGIc0Is/cYDAMfBqSNDDONa4KnUD 41hc+o/XBI6B/rnBaIxjBi2fdTGOvTxeCgTeQuvBX1sx3r46VSmI8TZY5M1T Am/hmRzzTYy36Xx3UzHengn6dZLAW3BgKIzHeNtw7cQcxtuDVRMYb8HNQaEK 463tNcoDjLdRihv/EngLgSt5aRhveRhjFzDefjggz/CYwM/Q7kMOcxI94K15 Q7dS0AiCUH+SmescKrlswLd/pAuOuArdCLE3gptLOaJHyol6lX4WNdzvBLv6 xY9TGUagcNV3s3/NHLqjW8rqqUv0y34gqK2jDxd2VfYJJs+hI8K1H97TdsHO 59dMEpb0ofTpjqANj+eQgYyl1LG3XbDjgPYteT8DoBOUe7CoP4ea2Ffzl6SJ OkSkx0dpjyHkb81gZ5ScQ1c6E2g2TnaDCG2HU1KaIdC5GRVJjc8ReaeMVrzt KwieYhFVldCH+8cf5vfykJH0kuHB78EdwKM6K5Jppg9skrcUt2qS0amxLRlC Cu3wOkjxU/IzfRjV9rt83oiEelUkahId+uG12JTZhIwZFNfrbtWuIaFZwRrG h9974disQuqrd4Q8+PZq1J45NCi8IZ8ltAeqrsYPMsoT+vHfMsc0SkJJvmq6 LY974e2du2rxx42hMotGyjqJeI7/V9qP9/tAgMfwqzeTCcz3c3+vMyahrtNC suFW/XDykZds5IwJBDMs3T5wjIR41+6LGeoMwL7v8z/KK03htavWWt/TGcQW a0Gr1DsMvLwaEtWPrKA02KzZZMcsShSmUc7fNgyi7NVvJLqsIFDWNmYkeBax VG19Jy8+BDn8u59958X7Gmo89ytn0Zm7Zdk7qwchzzl6OWurOXjYhocfUJ1F zNG3aK4nDcEFOSPGBqIeS05+Y63XM4NubcvIMjQchiC1rRs3tlmCqPAFFveV SYRup0PEqXFgLlAt/jBmC1RbyzQH306hUYfySAbDMXhCyRtKt7WDxqiKZNKV GfRY6VTuSfERWOQXLcxOJ/KX6NJlL7VplOWwsk/mySjwWnQymw9YQ5hF7dmX qlMoL4tZjKl2DFbFdjkOUtvCdxc6+wC5UVRzn669y3caxpv09hRTO8GAcenj 0+xjqEN9qMN8YgriGtNDp2ic4Zp6P+3z+gk0v+E7C6/dBCQFMVvb+tpBpX5E fYjpGHJradDa9WYK5OfOMrr6OACf8eqqX1Anyv9bpetYTMR3Uteb6Wv3gaFW SOYDYzcKu0Qb+9JmDu4HPHLPP+oOFuPkZUPFIeRgJLF9M1EXd/HVc3ce/5// x0gV1nH15BfMd/hzp+qKkwfEL7NWMtKVoawI7W/dCRQIaJ25/YDsBvvlbAwe B3WCyLHtmfi9kmy/vuH3VqtRv37P2A1LlyqW8HtXzSIH8HuVMkvNN9GVgV6W 8l/8nN88RUb4OZT/9AMN6/qZXtdPz3/6ge51/SSs60fCqzmXOD+MrjAI4vMv VJlewue/8J99oXTdvjvX7ftnyz/7wsS6fYPW7av0n57h+7qeU9b1XPqfnsF9 Xc9K63reXXyHsf/pDOi+jfymSPjzhYOtp7E/ixwJ7SX8GR7GqlzE/kw7KRGK /dnqSnkC4c+QrxgUgf250zbWE/tzy+Tlz4RfgRNHXBL2qwVTtjTsV/39voqE X0E/HN2N/Uotvp8B+9XGPzVChF9BZGSQMParDVzDttiv/AW45QkcgJfGuZkY B3rdT2lgHDDZ6cpC4AC4Pahf8iZwwFqlKALjwDEGz8NEHEHyjZwXOI5sGDMH cRxR1Zq+JOIIhpp6v6sScURLP06pJ+Io0F/SjYgj8EhXSMBx9OAH6zQ9EUep /+EwPFvH4Uf/G4ehfB2H+dZxWPM/HIaxdRx2XMfh/LcPMS7BqyDVPIxLAlnU /3Bp9LE1mcAlOJHucRvjknbwpmsYl0xRrjSBS8AfR/6VTuAS/UOLeoxLD3Iv /iBwCUJ+qlzAuCRBtSqMcSl1S7AugUvA3pN1FOPS2iRlDOPSNmWTYgKH4Q0Z VoDA4TNTPAIYh0v2/f5C4DBkFcfuwjj8yK6HH+OwxIzQVQKH4bzv/CuMw3NO LHEYh8tOy28h8gjEsZdvxnkkPpKeH+eRntlzA0QegUd3U9/iPLKbcGicR76J 8gUTeQQ2i5wAnEfGtUPVcB7RSaNzJ/IIKP8JzcF5JG3wizfOI3+VGDmIPAIS gczUOI9YKNxzxHnE9GmARkwCCVm2/nba59cHvo2cphplhjCybJ7DNENCWVUs PHqmveA7wDmy9NsQloeeC71uJKH9VUtOs/29IP41YmG/vAFIXNn+mzuOqOdz Hv9ie94HzMd+IecRA7A8xUZrZEVCebLnK7eqE/nl5sW6LidD+GSleklLbRZN v2LYxRQ/BCflElYkhUyBNuLEAu/HWRTcrXiqm3EIdgpsffg22BRaPrJkpdIT 56nw03UfHYBPlyy+1kyYwnLd1H7RkyT0ld/5xiOlASDfvQotYkaQfs7+wKup WTR0JjTpjfIgjPzdu8ebyRhWOR7tyXw1i84flmfkOTwE13Z0253pMobajV+L PK7PoiY9GgeuxCGw67hPqX5tAhtluu6xp0wj8w+pNHRco8AXemSee94SdDuN XE9xzqBnipW1Op4jcLHTddVczAoaFGx0KZQZ9OS9SimN9DCYHJhqEXpjCpE/ mpi6TWeQym/rSO8tI2Cd4HzbbMQMNKlsnEnD0yj2sk7MsZYRkAv7FOHIaQHP eEUKbqhMo+9GdN3ZwaPw6XhDxIKiJbTGD+ySlZ5AY55J3Ta/JsDjcQJtjYsN gV8d9NEdE+h6r1kwvekEbAzSMk1bsAFdtkc0OjqTaODCzZyd3eMg9S16MFHf Fqak0n6fVZtCvfSH3ZiqxmBYvlj54isrIq8ma2tdnESd7udK9Yl6v3nRTm1v tDVIT17b46gzjATdq7ceH5iBlS/hj/a8tgdp3QVdtDaMVGtiStrsZ0CT3vhO 5z0HmDfb+OJ59Agqtlb0GNg0A2Us5pGBhxzh6JawWJnlcfQn/Kfgr8uT0Hf/ 9h6dlzawqWGDOl3wKGLKs2hsUZmGVtVj8Zck7IBDw4fXTb4DnWHJD2TiJ8Oj SnltZg8XOPnagVsmbAjxXx8tgbuzIG4j2V4/bg/2xzdUlru0o4p205g918iw N2qwf1Tc6f/x/1yOZDQT+cic7jwLl/f//K4KlZqvuWkdIbdllv12jvo+lPkG fHCRJ+qnzSIt+L0311pi8Hv3u/Q9c9AZBpqrRgZYD90f0+uwHqgyLzITegCu J8d+YT2g5G9+WA/pw77uhB5AzOVuONZDwy7td1gPC+4PX0iHDcFjurDt4sT5 zxieY2kgzs9MxZNFnB+27rN+gc8fJiI3hM/f9J/dYXLd7t7rdh/6z+6gvm53 xnW73/3P7jC8bneZdburcw2EE/qH4FwFUaz/sGizfVj/WpskmAj9A+fpEwyt hP4Rx51mrP9gOy4bwv9B6mrvPC3h/3qJiq3Y/3/pbH9M+D880CXlYv833Vc5 i/3fpSmOXlBtCjy0PaywX/HwW0hjv+JzfKlP+BX4Bf/6gv1KXVBKBfuVSsGJ KwQOQEBTGSPGgc0T/FMYBzJPvPlB4ADczzp6CONAvteAFcaBqaYD+QQOgBbl sQLGAUVP/1KMA07H5EyIuIOMWLZsHHdT1mpFOO6ur9jtIuIOpiOu++G4ExQc u4zjTuMGzSMi7sAmwNkfx51oC9zHcffKvK2aiDv4pWVeheOOJ/utC467dZwE 63Wc9P/fOAnZ6zjpv46TJuFcBwlcAtaQ31cxLnG45YlgXFIxFeAlcAn0JBtf YFy6yKTMinHJ/MwoD4FL0L2njQbjkkXjuBHGpToKqZzAJbjUS2OGccnm2YNB jEuZ0T/ZuVPnYHvOmN2V5U64qjY5ms6uD1oLlwwkiDzYT/X0UXRYD2iv7NYe JvLRn3DyNnkDMuJ+M+Ki9rsNqeyjfrtsbAi30ynaicZkdPtWIml4sg1987rK FPLHEKZMOsV+m5GRrlE/h2lbGwqgbS07EmIERmMsycpWZFS6k37Tt6I2VHrY MLPwoDHESfZx4t+lGrtnY49/V9rviitv+C1jYN5J5bNAyKVO59FgefaffVk0 B0yA/cmL2Xn895tdA2QJebXdRjErIs92J2YpYHnfYs4OLD8iv1bWn2EKNvqX kymEXJpkGX6FkJ/f231Z3tkMNtYqU2P5xW/xrFiu98SkLFfcHDSTvklcWiUh o+C6m1L7e5H1N8bzn++Zg7vzFbFrCyR0uNM08olCL0rUfhNWkmABa+l/8q5N klBZD5NOuUMvOm/28nnRmCVknVgqlOgnoerJnHByXC8q50tLuhFqBZezj6kc bCOhcr2nLIx1vWgm/5i6pIA1LDR+erBcTULLhytydy31IhuzrX2HW62hYHMl q67nLLLevzfF4eYQstbLoWfhsIGl6pj7+eqz6HW8dnTeqyGkyqqmEcBnC5cV bt/Q459F1H2SW5+NDSH/5bMtIaJ28O2s3BEtmll00TfTcsPRYUSjt3yGXdEe 4s/S+hhdmEZ8ayc2FnwcRd/MBAMUWe0htqvUdzllCmnG8t7crDuGojfRVyJa Rzj1e7LMj20KrdVwfLffNo4yepI4Niw4gYrs31l590l0J9I8qyJ3HD1gL4/3 7nKBiIukihzPYcThmrO4qWYG7en0JL1ZdgfQTr1wrLYfjYW5ZHKq4N9ZkM6u o/MCu8nAfue8AnSAubXEuomCTprRJKw98Aahlq1JKcd74W7lsvzDnyR0nPVB zpSUFzzOspmgVpgDnn0PZUSKulGXsCP3rm2W8EzgmK//yCwc2XKMk1d/EPUG +7hH/rYCQ6W/2XuoybBW96PqEHxFuXL1ClaPTKAzUZQ8qDcHzysYhZ9e7Uav PXukYaMZnOiiuNdEkSE8gdsMilqR6cz77+c/GoAu1ddKjx4yUs3Rtdq00ozc Jc9O8zsaQN8FSg71EBnd8HxR1dzSjKREekjhdIZw55pzkP04Gc3+mukKTm5G 0pMbYxfDDCGNblC2b4aMBD1GCmU9m9GhhbnnsvuNIKr8+ajgPBk9aTkYvKrR jEQDq0OefTQCj08iml5LZMTTdsv47alm9FR8aH+HmDF48xgXL9iRkUoTs8rl +DZ0Zhuvhcp3Y6BZrgzodyajsp/z8i+829BfnrJ+2mYTUHLteFnygIyyz5lc nr/XhrQM1Lo+ppqCyI6Piy+8yajKiFdOTLoNnb/evknNzwwi1xwDbB6T0Tvx Vn3fw22I++y5vYv65vDY6Po9eEq898zehDoGAgcCXUr8JSzg4m+Jnfj3++ZO 3rqDf99ceGtXScVVC2gI46oj4d+hsyLflCbk72XOHNcrsgTl3lLrWUJ+KuiD wmVCvvYtXZIqwgoy2gQ2zRDyjoAoASlCfoznwHSjgjX8uG8eMkXIz5qkM0kS 8l9qk49ebLCBW7f20yp/JqEDh25Xml3uQ39/5RzmpbUFhZ1fv0+8IiG7QZ3I D8/70FGOjyetFO3g04udJRf9ScicZ3Rz2kIf6qt5dzcwwh6stFGWqh0JJX7b uWYm049ohw+quQ06QP12m6nXLTNIFj2brLAbRo9SBkP53RxA2kr/oaj+DJoN +Zi0tmsEzXrQcJ9gdIbgY5JBi4vTiHtMa8e77BH0bCTgStszV+BjOZI67DGN dIW681+qjiLdpEOygZwP4PImn09ON0fR4TsfGbxdpxG1/JbFC4e94bGPyhKL 51uUrUFz2PEHBQ3os70s3u8H6JnLr2PKc2BNWdBNTu9GO5ghJPyeLch+ddwd T/QXD/IY7vG0fEXFLKLThjpW8CRm8w+NORIcZzUekLzTi3gULP6+y7cGuSwu Ht1pMpzcFsmjENCMYsga99RWjIGqJMm115cMsvs7P9zga0OxitYalxxNYWxe T2jLbjIE3Brnqi7pQPRvVflDJs3gXp9U9m8+CvQL8snsJdcTdbGdetIjA2hy MTkZ/4MMTu9bthvzNKORtn3eVvqGcCMt/mJEIRkcxXS8/lS2INma+rubLhlB R5MgmrxPhvbSlXp1kzaE6IMrz+42Bp4j5sJ2QEF3ux/17o2oQ+mM+Z4XzQwg 3Gp72CdpChK9EefuyVyHdMQG1rKJuHNKu1nfoEhBv4buu5cH1CJzDtkltleG oKzu3F1xnYIGC4zypzbWonO/fHTunjeCYpntaTG3KOht3u7tFK8aFFRtKx7Q YgS0TMJiCroU5HIzTbvrTzV6VSge9MLEGBwPPn7QY0RBnoMfAhKdqtEeehf5 0A0mIEqrFGi5SuCAufAgw4ZmtLdw2uLpoDEEb6P0iNNSUFHV0k15tyZkv7Tp 0nyLCbiX507NMlGQ+I6TpNvfGtE9ifHFM+WmkB5e89ZqJwVFPp2ykjFqRF1R LdVq2WZwNbqBtomLgjgMPaY2DzSg9tFnq2rvzKF6fu0bPS8FGf4dU3mv2oBG +i3rBWIsQOfh+3CDcDIazHN8yd7eioTmUwO1v1iC3Gnx7RdeEnjyPTjxVkwr +n3odMFsqhUwX4kRm39LRkXdDf0B2q2IXV16Y7SrNUi2fmUNSCej+9dsnn3g bUVMxcW7hORsgI/qti9TLhkZTJJ3FZFaUKXIt/by3bbAfKI+doKI0xnLxIeX 8O/a/53NfECyAUrNJc5R/Hvrzh/KxQj5SEMY7Xk7O3hiNaI6SMjjBPUbRQh5 eEfIkYVVeyDzp0n3EvKstPrX5wl5opQPR4q3I2zYqpqTpkhC6kXd5Pe9/Uim de/gFg5nsKtg2y+3g4SUFGwkQ3MH0MbB0+dKrNxA+OBMwZmOWST68+rLhLBB pCLKXtxa4Q7Mu4a5rlpPItataZW+VeMo/PBNy0yJh/BYb173ZwsJfpvOuJg1 9aIJZY73D2tcwKBs4EnJrTnw3rL6tty+GzUO/tjdyuIA8aWq77kmyDAw+a3S LqEZ+cnpveG8bAVWj4PJXdfJoBqiSqHTb0cWQsKjB6KsofDDWv8lAQocOK4e O+1Rj0Tq/0QH6JlC7DBL1AqJDNK+CexS1s1oYuJY7cZ6M+hr3Sba/YLoT4T4 d0zFtqKnKcsb9PgsYJdO9Hz7UwqY0f6065WrQMqTkR4Xibir1+i81WtGAdEK ZjsG3mpUv31Ur0HLEFqUdsrky1BAkSsgX2utFiWJ86nrCRL+L3ttyXEvBU6K eHoptjWg1P7gg+0MxnD/6TcPwRAKuhj4YebYSjliEzV1d/UwgPzidNmd0RQU fZ8z48f5cpSyrKzRedAQQuvU5d/HUdBPI0gMcSxDbkZem6hqDOG+boXhjyQK Yu7xNl39XIqe0d65+t3MCFZturx+pVGQ2a3qZKHFEvTuQdhs2nZjoPdx9Mr4 TEGSQRIbZQVKULyY4vNTWcZQthM1eNhS0KRQhEVZdBWKdoodWaUxBUV17laO BxSkL+9TvTOzEtHpnE14zWgGWotwXv4xBaF9n27srq9ADmdoL88xm8PxYwvV zKEUdO35mVdNY+WI79XP0O7dFlDAc/yaxXMKercPTov/KUOGdeF3dbgt4fbk 3xguAQry2lMkyuZdj/jHT6tTb7ACtpUPNn/Eie8605T5wLkOSbvITv6ZtgLz l4e4ripTUK+HoKq+ZS3iOfusJ6PZGg48/3pm5x0K8j8RerD1Xg1yz9q/nS3H hug/7ASv1RJxR5f00MW8BfFf7M106beD8R3LSVf6yGjgzhPOW6RmNFnaS6eX 5ACSDcvOuXN4Ti3nOm/SjF7X9jnNWDkBp7jBzQ4cX/n8K2eIeDl3kJHdK8IZ 3jwI9qsi5OKD86xHCfnw6GNHucH7wKokG55DyJ0YZh7tIeRNhcYGDKyeMBR+ MU6FyHdPZfS+hxD5rnFG8u6Mqw+Yk7h4TeTI8CRS5OT863YkLrzQbnLFDbZE HA3LvEOBi2VJfLoaNUj4b4opS4UttGtRrR14RfTDi3I+s2Gt6C/1uwdXYh1g 8qbAx24bCnRtz1w9nlSFWjMmaoOJvH/gFBc9Jw8Ffnr+iLuY04AUk233TPZa g3QyM+37fDLUifufKe5pQYoMacd9dtlC312pqmsFFNgglnRn9nExUtkYOvDh lgm8NTI8dCOaAgk370XdEShHY2xTUV6FpiDY2LMtyIoCklEMm7d2VaE2m3nf F+zmkKldFMJ4iQKjn2o0m5zqkAk5+W+ApQWEDxdKxdRS4NTwho+KxwuRcs2G QqYKA6By7LqumEOB8JxL+sU0JUjgyY2bDJGGoJ377BfDawo8rU1p+WtehlSt VgfHDIzgAmNKcpMvEXcOvDsCOyuQyAVSzsOzxlB1WeZjgikFqoqP+rBCNcrt 956s/WsMISLeT82HKIhX9hFbj1U2CnAyf9n41Ag8N3hGJU1QEFfFHlopziz0 2e3KlIiqMRyT1o0VIFHQzdo7MqIVGSjs/dVr3LtNoNhKcCLsKwVpcRZILWbk IU15fpYydXMw8uAL+T5IQc8mftcdjslGL28xmx6Ks4BGiZjKT8kUtPToVOBW n1JUfK3w3ms9K7CnXtlumUdBGfX5BxxKitEkZa2VWdcaNFuWjSOrKEhWddMB yo9CFDcTN/zhrg3Q6bxIPNZOQeoGDTeMTfNRxSnHp7q3beG81LJGmCkFzVRs K79JfG99j9z8eKYtFC0tX4nypaCDQVsUinsq0ITclqDuYnsoX5PJyCTwZBPr kaTftmVo+HrXt8k6R+Cr3Vk9nE1Bx1+vrt3bXILyIp0kq9ud4YnbiQtyDESd EC41clC4CW01fpzbctkV5l89vBdxjoKEd8U+qT1Vj27LJD8zkvOA87JeUtza FPRQNOgp64EatOJMdnGkeAGnVXgQHxEXtKkiBz+e7kQP3VTk4waewl3tgRsb l8mwsnQlduUYgc8Jzzoc2T3Azr4pdVM2BZQvZqfT8pagB5QKhprL9kDpvcCg coMCH9pWjJRXaxC7VYPJpWlH4P995qjfGAXSxp/+qZzNQtsH7foHaa1gXLqa 0b2CAvJ2KRXOj4pQw9CiQAZYwyKfpvFADAVu7pKL/MpYjlQ0qOot7WygLbnl suoUBXbPznRwWmQi+5PKwz77TMGtPs7av5MCs8YlYrr6eYjF7FB3mo0ZfK75 eEm2lAIO2z2eJ2siNDrzJu8XMgdZmzTdsHcU0Ojvvt6VUIr2vjfL4NlkCX7P jkRcJlPg18B3vdMtH9H2asZicRFDKOT+Jv+JOL9RSsjBioEsVPpoyaOJ1ggC t5oYbeumQG8W6ZrEbC4K5uSTGKg3AuvDz4rv1FEgUrfiltTyF6ScdMtUM8wY og1IF9/8JXB7d/v1Qwe8UFhCj8ClBWOgTTNV5FmloK1Cf3/kBL9GPaeF/khu NIeUa9n079YoKJ95IXeVNxR1LNJtcTewgDuH7AfwnnWr4P2am5kq6ImPdWtE mSWca9XZnD1F1IeMUpGPJDPRit67C7ZUVhB6kLKS8Z2CPraYxDr+fI+8p+Pb /Hdaw6cMitQp4r0/BseLhvVfo1OeRTT9R2xAjvMZ/Uni+eNMc7msUk+Qsqu/ mKgw4c8S7Yq7iXi0fvZQsV0hCwVvFn6xYYs9IGH37MVlCjrL4TI+PJiEjFcz +yZvOELg+03yTMRz0ofg4VWXAPSQ/CnVJ8oZDiuq846NUJDSLReKlvNnxM+1 euoamzs0LtUtCv6hoK8zlqbfNkUju5LlgxuSvIAqZ+2jbxUFGtb6NK06ChFf BItbVKEfJAZRX3GfpwDfU/bLC5COtn1mzuFOeQBBR2bnfgVQ4IGyPzlCvQIZ p9ZfMKrygjsB72JerVFAqJyULrYpFLHMftwv3mQHYTKrCTpzFHgj8WL2zKkM NMj/VClT0RFsX2mLbaqmQG3n5HHx9kL09WIjpBY6Q4pgf9mmPxTYF/X3A/XZ 50jhXmX5MI01xIQe9nP5ToFLf0JiO86moptd2zqFj9rAQObRABilAEO2KYeY /meU8ex5Qae8LVCF1u5r/0sB6ZJyzp0tDuhKALOg35wJ+GuykkKJ5+fpV3Gr vY9CSt4cPGonzWBC27rd8yfxXp+w4MnmRGQarpReZmEOeTnsNK8JPVze9mwy Ui4dWVPJXU16bwGRm24x4b3yqxFFH7wk7NAf9VtHzDYbwo4YeYX3PynI+c3p ZN7oRDij6Tm5h8DnxJQdrAnfKMikerdR1YkP8FnDfyVviwnsvfDvnEjwmKQw cU6wT1IXwuekLG7B50RDZWXixDlh9CzpKD7nkPEdfE4kdKLoA3FOKDiRWIzP yZQ8T02cE32+dI85Si4dRHS5jPE5AypasD6RcRTTKKFPUP210In1ydWy/JjQ J/ohGtRG6BPiMvvIWJ/+L/OeEPpEFsI7pQh9wgb+5U6sz73Rb7F90ReB2QLC vqAwLiGK7RvhOYLti0Q8GX4Q9gXBXwla2L7XbXZh+yL/CwnihH0hx1xBGtt3 9eSYDOFXSKV/mx7hVzC9+Wc+9ivLDduxX6GmOxU0keoVUNX9VQz7Veb2sGsG BB7ejepv3rG5BExanOXt2/1A6tIj7OfQwqozQPg5HD23+Tz28xftTdjPwTbA SZ3wc3hU8PMQ9vOen6JKRHyBUrHDQSK+wM2LxQ/HV7brGxxfkFC/9zMRX1Cw o7oZx1c1iQnHF3xf85cj4gsG6vcm4/jKvRiPcQAOt7x2I3AASsV1j2McuHuC eZXAAQj7mGlP4AA8PLipFOOAx9/fGAfgbE79WwIHYORJJ6mPwAGpOxEYB6Dg AG8YgQNgtnrnIMaBw++yVEsXKND4UIp6/740qJq0s7i6agKWidGL1D8ooBqV c01jNgm+i1srTq2Zwgbp4wIFSxR4lzzacS0iGd5tL3ex4DCE3a77Md4iH7kO AwJvoWt1phbjbbrHLgUCb5HW3uRdBN5C5a4lP4y3I9S1GG/RqQiJMwTeQlX6 DVmMt9EF4iUE3qLWXwbHCbyFkexCK4y3u/Mrcb5A5lwGPUS+AN/PbyZxvlA+ mofzBTqqyiFE5Auwjx2fxPkiKGUN5ws0dafEl8gXoD/d34zzxdiKpB6RL5Db 6A8pIl8A2y/+FpwveD71HfHD5+wu31s1mwVch/vIOK+FjHjjvIZ8fhh3EnkN eOrSZHFeu7lJEec1RFtvH0XkNcg+v3sK57UliiLOp+h3UWIRkU8hlLv0IM6n rt/ObiLyKVpJ2KRG5FN4+M70Ps6nzmrZOC+jutdOL4i8DAbvs4dxXuZVbk1q KJiCY9ar9VQKY9Bb4jrRsjME6Kw6d8S0zsHifIw/nUAnHN/4fHaD3UPoPN58 kagfgOvu8yiifoDr3rwNuH7YfGHJgKgf4EakljZRP4D2DulYXD+cjt93magf wGMXlydRP4BBDYMHrh9oZOLuEHUO/Fy9q0fUOeAIYgO4zqGqm5Mn6hyQ25Kw kahzoEvJwhvXOZPFzZ+IOgdUg8XdiToH9Jw75nCdk3fEAdc5sPFbxXeizgFq SenLuM4pkhquJuo00AqZUSbqNDC9wqKB67Sc3292EHUaSKaqLdiXFMMzn1Ol uE4L28FuStRpUHz0wFfyj0IQ2phfj+u0+KuKb4k6DfwMRniIOg08GB/Z4TpN YHYm4MIXCpCTt/+gNy+GfVU18dw3TWBEjDm4pJIC7u5iPiMCRbCv17tk3MEU 5n/cajJoJuoHmasNZf4FwB4ZSP091AySf0fVHyHqAdab+scbh3OhyCnBSCTN HJJ+RuzZOEyB1P0K+/aez4YMke7NmdUW8P3Rj4DNTQRuh59n/0ApAJN4tpBr +QZg4MTzlLeDAt7yiTs/HMgHq5+TbVGqhkCxN3jd3UMBHeXk6zfUc+GDbG7W M5IhdDMkSxB1OzrtefyS0vFCIGV3V+O6ndlijwpRt6MF+vZsom4Hietmerhu fy3GuUzU7eis39HjVBZl4Jh1aQLX7a6b7iQSdTuau+hmT9TtEMFxtQDX7XUD 298TdTuKu3PxG1G3QxTj9391e5AOazXRj6CFgkwpoh+BPd/Dx3A/ovNc8iDR j6Deodksoh+ByUT6t7gfMa35vZnoR1CP84vbRD8CseXuz3E/opmm40/0I8gm qXaQ6EdAYnZ+91OiH/nOsvCB6JtQVXMSH39SFXgbtg7hvkm66coaBw8FyQvw HRTLaYCJT/1ncd8U7PRuMSWfjAJfxb0g+iZwULktjfumCLXyEKJfQ7H8EjJE vwY6JQ9DcL+23GTynejXUBHHjnqiX4PK/pMhuF/bInaFk+j7UMHxbgui74Pj BWzfcd+X4HQ19m36GNSlheteM54CdQ8W7Y6T/tD36o0yv+csWEtZnlW/OQRb irebUNi94HwMpwLRnwI/JVXyLBF36bSHD+D+dPk6y0OiP4XlvcdOE/0pOEt/ 8cX96UpMdBTRn8KYXL8d0Z+CWWqgNe5PLzyJFiD6Zbig0hFF9MsgP3juLe6X 2wa43xH9MjwYu8lB9Mtw3GIXNe6X/V1+uhH9Mnhyxt8j+mWgDvrqhvtlocHA SKKvhyNqf52Ivh7mXhbL4r7e3/iRNdHXwzmNyWqirwf78qRO3Ne/HePcS/T1 cP/hH3Girwfe9tRq3NdzTZecI/p6OLZvYqblXg3sTh9Y3UX09bSqRbUethSg cL9MK4uuArIVZRDfV9xei2jmeECBUp6AmZ2ZlUBfsBSL7ysWfVnxfQVMnYnT 3F1fAaet91zA9xWVuzbWMocSdcvfpYdNY+UQuqbkhe8ryosMVS2eU6A8s+wn /CmDk1e2y+H7Csp2N3xvAyenWpeOrZTDvUcNjvjepuFCJL63AcOdnpk/zpeD plOQCr63EQ2IwPc2cNBp6GWIYxkcCYuhw/c2DrnXjX4kUeDP0q3bq59LIWuL rBK+t9nzLsP7VxoF4uzbQoQWS6BSW+nfvU3yUJh3xmcirpfcJq4IlEBKXkss vrehu+NJbn9K9HHPYt/2ylWAsrtpIL6nCglK1+w1o6DVxYU4Bt5qUD2ubonv qT4Zz0rly1CQAySPaK3VQvxFGW18T+U9KfDdcS8FnTceTFRsa4DCfXf48D2V X/Hy10sCFLT9uz3bjEc90Oq7JeL7NMvV10ErJDJSqjyuKWXdDE2c2wfwfdr5 qzwC3S/IaO/4E9Wp2FbwIx/iwfdpXfF7X3FNkJHt05h99gnNQKdwKwff4y3+ GR3ouk5GLR7BCvT67WAyr7aK7/GmIvfZldyaQya9TqwV9t1g4NNxDN8HMj3K OP2zhYQ+1zHKmDf1gsjoSCu+P/S2U2S5dnAQHp2U6Dm6OAtNs97H8m75gnBR eK79lyl4Qs299ynOUwJJf6/s8gSDG0FJaYokWHvz6lhqbz8M3ZyexPecJ3bb bJHbQYIjkdOBobkD0L7RXBDfc77ddjD+TMcsiHw59SshbBByt/p+xvecCSqt 0RNEHLWaLYZdIuIoNuZbPL6Ptb/czTpKyLeeejMuRsiTviUtC9nZwfdLm+UG CbljIjW1KCF/553Jhe9jBa8bXegl5JJft02cJ+TXXD/vwPexHUX3Qg3CyaB7 uDSTvb0V3FJK7PA9883R80wXXpIh35at+FZMK0hpRqXge2ZFrc4L82/JYK4T 9idAuxX0lpm+R7lag4HonW0B6WTQQM55H3hbYSZyeu2cnA38+XjKkymXDH50 IpeKSC1gqeyRh++ZWYNjnlqukuGjWNIYw4ZmSDqYZIvv23X97nWL01Lgpai4 rbxbEwwROsb37T9eak3MMlFg6dA35jvfGiHw3ZE5fN9ufCXpjdVOCtwp5UuQ MWqEXt3hfHzfnhw3Q9XERYEni3JHmQYaYLTLcRLft79u0CXT81JArPXi6/eq DcB8hP8Tvm9PUXh63g6IelXE/c/eiDo4PHDXHs8pRrM/BX+SpsC1rXffezLX gbqjziKeU5TDw5oGRQqMudF/Lg+ohSbtDyQ8p4i7e/JrxXUKcIejX1Mba2GR rfkmnlPULqmnxNyigPGvS5oUrxrw/pAo8m9OEbJbWEGXAl4/P2R2/akGO+e7 AXhOsTWLxqXHiAK08b7TiU7VcK7eTw7PKd77Z3/8zUdBaS3f3u4l14PRl3Ej PK9xOLfhaPwPMlpLpZIw5mkG+y3NQXheY52qcS6ikIy2T9Rl/alsATPRVEM8 rzmQ+jd78j4ZVSkFU2mYtMGO+fAaPK9hPeG1R3eajO7feCKiENAMg6drLfFc aesTfvteXzL6VMTReYOvDWgfghmeKyX/NOffspuMgnmob1SXdAATzcQVPFdi T7HZGD8+h/icRQt5Wr7CStUFaiMdK5CI9hvSmCOhQzLPLkrd6YWIDcqcyfnW 8NeisfeY8hwa9tGaSU7vBnn6lWw8FxvdEiGR0zIB58r7PJosJiDm+1TwAMkN vpgPDVg4jgPTTTZ6cv4kOHVQR6sZecAePpq+1y0zcG7bx5UKu2HgPXLrNZ73 7VpUtxfVnwEbnqTCtV0jEPq44jCe93Gesb2/uDgN7PUsfO+yR+BLoI08nvc1 iNtEDntMA+Mz/q8vVUfBu5BWGs/7hP0baJQ/k8BksbzO7HIfcFXE7MHzykM1 BpSJVyT4uXl/8ofnfeDD6nAYzyuVzjvnXfQnwdLRqaNpC30gY3/5Jp5X0umN JqvakWC4R+GIuUw/PLXzV8XzSv4oT1YyEac3D4npyBBxyjmsnY7nsJUbmGtJ hLzrwHVtaUJ+n7ORBc9hW7hNrWYJ+TRVhOplQh5/x+csnsMKzwVtnCHklws3 iEgR8pYnNJ14Dktv7h40RchzNF/skiTk38uarPAcNqlzMn/BjgyTOsJ2l+Pb oOVCmxmeR780bfbtdybDrn3fTF54t8G5b12deB7tvdsopuQBGRxGJXTm77XB gG9bA55HB0Ht/AtvMogEdOiKSbcBm3bOyg0/M1g+sNvP5jEZPjerufoeboOe rPuMeB4tP+ekA0/J4HLUMbuOoQ2s/x5MxvNo51aFCo8eMlT/DXDdtNIM0VYn p/C8fuu2oGzqITK80shpaW5pBuXJoH/z+iLHS4H242RY/PF9ODi5GRZDHf/N 6+nqGq/0zZBhQaynQtazGbrY2F7gef09h08jgvNk+EVijFzVaIbNb1PC8Lz+ 1wsnDa8lMihMn7R8e6oZpPNdDuF5vdjPP/tjA8mIbdPNtTNUbbD/Tcll/iYD CEoLu6YpRkYGTQf1Lk23w0i4O0f2J0O4Mu/QaDkxh4ZkKv7saPgKV7rMR2SC jSADxlP2UJPRFrpLm3jhK5wpo9PCfAYdbZ6hQb05xPYsxPXp1W5g3O+qi/kM +7WUWqgV5tDSiZIkkaJu0KGUqmC+hHbcY2P/kVlk0G/xkFd/EMCSHIv5Ei9Z HYLFQ4vQS442U+YKCtBMuYv5f/GE3w0SNw0EW6Hp69HFgx/IsFNj0HzujicU bw9pFsgdA9Mt+/zydKeA/YmUzk9uF+jLuL3tkMoomFpuHqXzmoa/evk5lrVu sOephovRhWmw3r5/V8HHUSguFHuO+SeiMR9cllOmQDFn1Xiz7hi0fI5uwfyT xus3P/uxTcFMePEGh23joO/2aT/mnyhbzfbKu09CX0VLRUXuONBdPZ2E+Sc2 W4N36RL1J90cZ5IDUX965n9Z28FhA3Uy993y1WehTuXc87xXQ7C1+K8K5s/Q F4hd0+OfBZmxEdZnY0Mg2W/TiPkzNjdZ92nRzEJRI5PrhqPDYDqa/Y8/o7aD T+rSKgmcGcNvSO3vBZeHZUcxX+jK13C4tkACI6uJkCcKvRDkEO2B+UL6F7QL rk2SoLf+/K1yh16glmr1xnwhLW5zJNFPAm7z8CByXC+YcRpGY75Q0pVc1YNt JHiUs2cLY10vrLV7SWO+kNJFNY/lahIw+NB/2rXUCya9dDWYLwTNCezfiHis T+nykCPiUU9vz1HMpzKtYn64QMgjbiYxYXmQu/knzKfS1fs5PU/IK3cvPJMl 5HV3/ghhPpVEgoY8ltuMf2bH8vvPX+ZhPtUJf4F3FEKeW7wUc4WQb/t6QAjz qWR3+lBh+aeUj7uxfC7l7kfMpxJPUVh01CLD9dMvs/L42uH851HVLywGcHRQ a4erDhkSys7q+LO3Q77lgek9kQbwm++Eg+s9MqSM0YtqbmyH2WNeQa4chpCV cI3b2ZAMPFq+MrxLbRB1XE6w64UhmLPrbLEzIcNPx6M+CyNtsEekslpgnxE8 3rUEZuZkkPqhvZLf3AZXEy+df5JgBFNjb7N1rMiwhyv+rVdRGzyQY7AZPmwM tYd3b32xOodox61P1N3+Cls7bA4Z3DeACJ6ny6kBc8hqJHKpLKgLeMPT1FmM DCHM4qniX8E5lH9upv7Fvh4YX2krq9piAie4c9Pcr5PQtwsMEiKl/ZDMGm3i 8coUNq+WXM87R0LioZ9+egkMwGGN8TEhNQvYey/NBny60ccyOkNOjTmw05JZ 4rZxhcbOGcbogFJkyEGnLk/09yha2ycp6gHoB57xKkxoh1X/HTPzsmR4k/Kn qpLeDaIOnud84VcPkc+1MsJOU8Du7Jes61cfgOvb3Mpm3RH41kAtlnRqBkRZ f1ymuesEhy+L5mfQDkPR6yg6MfZZOKzo4kwt5AKzMltmfa0nwfS+dN2XqnGg PxzBNS5hBx4FpylVDRNwod/gO8VmAj7fyOLIyreHitTYWJpDE8ARZa7rwD4J Gj9Ocxw54QifkDCdGZFPnws/U9xdMAlot411VawTDOpUS6cYzxD1yDWHD9tH gD3sioJinBUsWNt295ycgSDJHB6WeyOwM13iKr+XNWy49zOcamkafi4JBJYT +bTb3FDARM8Gam4MNe7Nm4ZEz+GyLwyjUBCrErIsaQtL0pLL592mQUBjU9+y 5ijQ6EburThgB3GBHVw1m0ngqbJ8cKp5AM65dSo2N5pBSt3C6Y0/Z4EmdKbr 3u5BeDX+TgyNmcPYoyBXtrFZSEf6z9LvDoJDYgB4rFjAa13pYytNs/D5fl1S 1dtBOH52y3UGBiv4KxtokV4wCxZFNvdS5wbhzyG9qWwifp8MFToLJc1CfOqN wBMcQxAi6eonx2UNPa80xtUOzIHTF50/tnY9sGfx13SZlBHxHab+ZK45oO2w DBAK6IHnX+9VVfwwgvuhStc8d89ByxeR7OU3PaDSY1BUlmIMPJoaIttY5kCJ 0miXUdADE8l88YV3TMDjwohs1JY5eMwmWGrY1gNSVUOXM7ebgjBJ5sEehjk4 u9Mtin22B1gzPrsllJlCYNRk93OaOYilzlqopOmFPQx97CEOZtDferRlkYhr s6WcDwpEXP8+z7HKqKkPzMPlj7B8A1+vFZa3ebx+F9aiD0a1ueexnCz5WQDL f76ivbFHzgBmA+lmvhPyM+LS3+UJ+YWQC1SJpQbw8sT7aCzv4A78hOU6yudS +EUMwTc5WQbLe0YCrLBcuGNeJTvTENL+Ui1ifJP1k+DH8lCuuytix42A7XTG Syw/yJI+hfFN4IBjXBUR77+nfcotHpPQ8POkxaO/+uDN688/O/QMwX9rm/ML qjn0rjkpV39zL/xu/yJ619QIRk4Mytr1zCLYtC1nznMQSKQjwef4TUDubMVr 2qRpdFc9a+zIvlE4cjSZ/stmS9iZEOJd7D6C2HpKYmT3zEBvx96Bl1ftwXPj mHGm30ektLvRMpdMgXdKvaOmp1yAu9T300RkAxSkJquM7KPAp9aGUrUOZ3ix FG7rzkvUl5z2A0sbZqF7ION3VaY9ZMofEl2oHAQLKeGKvMpZEHQypffd5AiX 3Cm87Qcm4Ng2DapkjklQOvv3qs1TGzAcXaGVdh6H3O661vt5k/D0UvrZtx9s gV/n9YmdtWMg5KrzJVh1Cs79qBthrrUD6wrH6/a7xmDzBVX/tKkp6KqtYrs5 Yg+U54qML7RGoapOnjbJaRqMXBnmDy07wJG8ZzUTG6ah9fS+7JjFUVj9w3R4 7x0raBGRtE4k+tYUJ1nJZKJvVc1/Y6qxyxrCauIsj9pNQeGZ3KmiN2NgopEn XN1oDSF66lOOx6YgoEeSvePXGPwQFpy462MDIwzy/BGDk2Cgb2g2rjQOSWf6 +pkv2kKOYgRJbO8sRJe8OvXt9xAomlhmPHQzhZ875gbyqWeB/8ZEwb5jw7D0 WVcqzswMhClT4zNjRN3ObK6+X30YZqgtAqxvm0PaLLVDU9UMeMiqSn33HgYj 9cnoRXkLoLE9QW+cMgMXzEUrwj4Ow3sLZ/dDIpZw7mffttyAGXAzv7l3Q/8w zMrzH6XaaQV2gqt/ze6SgGtvxEmfqH54O57ympbNCMqsTDVDrpOgbHX0HA2B /0nq1ou12UZwV8PG+a0sCcwSLNwsZvsho94APVQzBj3Od0apYiTo1ikcqGUd AGfdzV6nl41B0LLw5JszJLCMshJlExuAX57fCprDTSDEybXT/wgJZnkk7FQN ByBVqJykI2gKvFllRnpcJMh8TafvHjwArk/Eno21m4IsZfzPUZE5GD6ktPKY sYfoR2qW5Y/oQwfd4X2G5+cgTmZg28yuHhjYQ5so9UgfFst33/bTJvq1uWeR wN2OvFuLmobNDUDth8CLm3pkVKrlzyywtR1J8tQc3TxtAKfDNitzKJORblxz 7A3fdtSQstxo+cgQ/k9VXx5P9ff8TwnRooUWFW+UNVJRKY0otJISZamIi6K0 INpUtkLJ1movKmRPthNJSQu5siVLyHbvVSRFfM9w35/f7/3XfTzmMY/na845 zzNn7pxlru0Jyo/tZJHIfA8pyPtEHk6tuRTja/fveVoSxD1Py+Cep3Xxn8c6 GsomchcUH4kyP5L7oluLbxEbCGw63ZjpyyYrxG+d4llSSQQr1got0beFVevl tPC8q28Zf71JTCVpzfJd9amGrtdXJL7R+JMMDg+covEn6ZzvZIjxp+Xvf1bQ +JNMkOh7ReNPcr634znGn+vc6ntt1D4Ss9K3ExcnsQncNr6Gcex1A/2ex0r1 JKEjY/TSYA+Rjh/ywvPGK466mKySekuk2r7rWK7ikKw9+abWnp5g8eVJMcbD e/ZbttJ4mJxv/eyBOKFb3Cece5YLc4v2p+N55oVTxO/ieebOEk/PtVJvQSGr XQBxerz61BHnxrj9MMy1n82133TcfuDn2n+Ja3/mk0U3nno2w6W9N8SESrtI QNj+OXED50HfMiNA7k0DGNhMkFlg1EO6X20cwfPVy8bHCxjc8ar473hBDHe8 ErnjFaoWYkH5AGLM6EDkQ3DO65fIB96yT8gH+OL1cCry4byg22Lkw/D4fQGQ 5N4XMP7vfQGw4N4XGPjvfQGw5t4XuP7f+wLwgntf4CX3vkCa4hSsvww1nk/G 6i+rLdk+Vn/5T4BBE+UJuG7XPYY8kZ4gxIc8sZD1QZ6AD+dZDfKE93z9SuSJ QMwk86cV7eSXyV/bD07tpHB+ryfmAaynN0476tpGdKQS61g534jYB/d4zANM mxQolhjJJL7zvv3x38Imw5GMBjN+LzCfNqA7NKGEOA53p1/w4hB+vwTm/Kte 4C5m5cEzsQSmPyw5jXJOwLVElIfVtP89s4wJHg7agWDBJqSjYeDuEi+YOG4P DHHtKeHaYz5uD+hx7ZnHtadfUtPAbd9X+CIruhvPCQeF/FXRkL0EZbfSP53K 6yBTJhz57b+tlXjXvR3G/KH5n9W3Md+Y4J+cId/fTQq94+Qx36gu/GfdV5+3 UFzqvGZ4GYdUy0gZNhsEwqtxHJjBxbnKxZmw+ctkQxof2hD1z3hO8mfSBG88 J5l71cBuqWc3WdPQK2Syr4kw7U0OYp6/7XlNL+4LpGb3z99p30GEs/7uxH2B V0oy/OkqTEgyeZEwakb/72q6T8tfHArZ4ziwnotTx8Ux03e7a1TRBTfDl/7G c2iXNZ3s8BzaFM45wdsfWeROdhWZtLyaiGdVl+P+ndC4HGK5cmmufI6oylFF Knd74v0Gz/OkbLA2jv4SANWvv63n+c0hpnxzFB+L3ycfFruNCGQx4GVX1KqW IQ5ZXRi7QUcuisy1ezxqd9AOHqmoGvcPcoh/UOcyPqX75Gvv7OZq+j9CtSn+ YN8Ih6y5pfoldtF1cnN1j+yZRAb9Xxa7780whzzavvif1+fvEpcVLc1CB+wg 6+ZOPG8AzQt2RS25dZ84Slxsx/MGNwwX4nkDeJLrbP5KOYkkjK77jecN3BSd Wpt+csDjwrSLQoyHxCP/iG+9JAPsOa2H1v7mgGNXUI5OYRzJ0JtRoVvEgFJB h+aOIQ6Yvon3EBKPIocvdX9UtbYDkb1/Du8Y4cAt5tFjYqEhxOCC2fIHivbQ E+D1LGmUA9a+Yj2KvRfIn1PDtl5D9nBLZrxdLTN4W2m74EWalhy2qywseqxd IqMSirRdwHP7eAu2a4v7EOIT5ZUMe4oPHHfmGH5ZwRg+GQna1k7xIZRPmYH4 KkGHsV2E/+A2L9ouePz7cRC2S2V4rF2kV9MN2wWJ0Ts+YbvaXhzGdhGZATU3 2i6YJ72Eie36WxFptZy2Syu1RoapFQprkpLrxSXtQVYoAe2H19OlG9B+k2ad hWPjUjFmP5QJSyig/TsdqpvQfu45EPDhngNZ9d9zIHCcew4km3sOJIjnWxie E8vt9ht5oloNOiKPXfGcGP/4/jLp5u4vy3D3l8vqc6XrV3SRWYGRV1LNWyDD 4mEQ1k/hffLyTltYD5k1vbV+MPczOCxmP7F8EEj/1l9wQd6q9jPjKG/BpiHX E3k7eOB0Ap7PLLDIbqfzAhK8tW/ivGgc33cjjtx9N0Huvpt1zqh+kgqT9D9l 3eUxZ0Pk4jm7cN41DNmfjX9C5/nVr7GG9h1w/kN3KJPOU4sJswTS6DzV/65W SecpCPUcepVH9U1FMuJwPoalXezB705tPhKN3/0qIcUxcP5GlD1GBql/AB5h Exf0DzC+r0G8ufsaNdx9DR3/q5w6n7ckwaMzjfof8FYTHkb/88/G9cnUX5Eb AQue4P5IU1HqVPRX4s6chS3UX4ke/bQZ9U3iz4eh/oIdEvX0u6Cu6jPNl353 JHTUH78bwmPuivcpjo5EqlE/CXdplIv3KTrG88BElZsHDuXmgYvG88BEgJsH PsXNA79NtOlwX8YkLHZvO/XbsCzZdxj9dv8D85+81M8PPda3p34e1oc9C0I/ Hz5z1mz0z0Jv+Tzxu5M+Rcigf7414hCM96Hmzs8Rpes17Lx3sxXvQ5UFLuXI v2kgOoEzXokb9UD4wZqx+1DF4/k0wuDm00S5+bTm8XwaYXDzaX+4+TTvUveg RBq3lBUN1tC4BTzPznTCuOVyX5IAvwchi7Q3dp8s5MCj7xcCJE0vwdB2J2+M f77q3JxF4x9YN93UE+MWL43gFx40bll7bmUujVtAW9HwGsYtRfM2bKNxERgk ayy+TPHbfoREIr76H2OpTTcK4N6FdfswTyg/0LIC84QSh+/tx/gkYihkFbbX +4DLdIxPfnmq6WB8InXw1ioan4BE/qex+GTNlNEXlw9+IT6+11058j0wZeuf hUNnzkDKzgvO857XEiGBpbsYW1kQ17e12E/sPJwfz28QDje/sYab31Aaz2+Q HG5+Q5qb33h8plnAxrOaRMnrVWm8YMHu9pLkTuvzsGGD6aqTzAzyTNhD70Yr B8zOmfsvc7sARam6fgVxTDqvIR/zLctf3o7EfIuiX23abb+3pH79XSbmW55e lKvBfMsDpqSFKzMDTs7QBsR5oBbuizgvsu59tPasBnGm8cy19LvnhW/04neF yYTqO/5FIPXz7TrM8+gM2xzBPM+z9xM30X4AYd/3t7Af7ASXaWM/XO2r7Jjz vBZ2Sbk8xH5QfLpV8grthxnm046t966FyMPakZhHkg2qk5M87gETBw5ndqSy SMzKOhvf2mpYsHPzXR4XG4isXpOZupZFfmitT5EWrIPzLvsOGG+1hSQBe0a0 Mos0NXnnemrXweQosZhvb21h2sbpu/sUWETd79XtKqM62LrFTyNbjwHlRH5A W5ZFdpTttZe1roOvQYsm+lD/PGOro6apGotsLioqCZeh+huZ/oI9NvBl1sNH G5azSLpKufT+5XVg/OGmQvguW3DqHJ0jkcgiFU4J5/Be6nnw7MF7qbxv+3X9 XVikVDPqvObvGlggffX9dQMbOMZbuWHImEUkag8IvLleC6dbe5S/ltuA1Y3m nfErWcQiQrIpUbYORI/vexG30xbEcoznteY1kHebdFzfGPdAZKWNaLu2G6xe ayp/dHEDsd0x1MN/tgfuvPM1STRxg1611N8Tl9eSALPvttsdWDDVMrj/yhJ3 mDOx/Tf9n04E81T98H/6xsgz2fg/PS9/9AX9n05+pu2PwP/pRbOdvnnT/+lZ G+fMU+QtI1+aS3866nGAb25RRYyEBwgsDm75O6GIRMw3HdqezIHA7afEN1l4 gKN2VFdyeQiReH5EaD5drwauFDa38J0FCbO5Pa3h70jmtwRHzBu01zyuxbzB sK9aBM/EImhdeKYFcewmb+NHnLgAOdG08hA439UxGXGqdM+O4fRvtqtR4i0D Ien4BrRn5t/RfLQnfe7b7qsdxWSVlkDiuyAO/Dkp8/knnzuoMdukaP+AjEM0 G/tnQz7fXuwfxdhHkrR/4HuFfSj2z9e0zkVXaf8Ij/czlHP7OZrbz2IVm4uv dxTDhLvJboi/0EslDfG5fIOvXL5N/S/fYDWXbzu4fPswzjcw4PKtlcu3Rae7 syjP4bneIUvk+aY/LqHI845lpshzuMnJfII8f5nSsB95PjSeF4I2bl4onpsX +jn+TgUs5r5TofPfdyqgnPtOxWzuOxVO4+9UQB73nYo47jsVD/0dxNm9PZDU uPW54Y562G3Fs6hW3hbM/UfXWy1lQd/O8m1T9evAsdeWLWNqC97tfxLWi7FJ fklaWWNZFeHv2t3ZAAxQmC5zzWiQRVxXyqRYO30il0XPM1axGGDI1992pZZF PIRD3uuIVJPSyyErW27ZQbosn4CHKptUntgXIr2iihyIMzDfLcGA3n6GF74L t93k44j8pR6yXzRKEN9tW3kvVaNQ8gtJkP+YtXZtD+lbGV3GOXLhf+8bNDpF 4/tvJLcw2h3ffysy1c/B99/K7z8/oUBx1krVGCHO0O+cqc8lv4DT/AUC6yjO kwaTP4jzzjJeR3kZG7QLyjqvalSRoAaHF7Vxtv/aCR+5dlpx7XwHPjLlrEbS tfL+HL3cbuLsEiCH74Wazr69qyi6gez63e15x7yH3NSruTdP8TLkFSnq4fui zBKBaNSfu3L+VdQvGOyeXRjdAL/XLqlCfR6GQC3qS7D6yq3ftpNbUyq9WCfa Sfeu2GHwufy/9irfOdk/E8+PNzfmPHoTCO89Uu9TfTgdk5+K+oob38hoUf3D y+w71mV1kZ6cvzu/3WsmnVc/xCT5e/8P5+yfifXSNP7tDxa5+KYiFCKfHGim +hCR8sAc9dPvnUxB/cwZ1qEY7zk7HfhJ4z1yREbRHuO9o7LLt1A5HB7YIvmH yvtkJybsp/K9OfPWPcW6Zi4Crla1d8nroMiXO2Yz4KnajKk+VG4UffYN36N7 ZJrnIcFVuQwwMXbyNqbyd2XCTffdI0jsuk/bFlnZgaL6AsSBvlMSRxBn4Fdb HuJYhc1EHPh17U4x4hx48GQi4hhdGcMB49sqjYgzQ3TJGM72oHF7NLNy0R4Y LlYpQRxP4XF79JpUyygOOKT3j9nzW37cnoeTn6M9IOlkux1xFk0dt+d3ZiXa A8qKLvmIs/TIuD297w1eIs7zGuBDnH7LcXvUar6iPXBDN2vMng8LV5/GOoNl uYVn02hcLV297AjWGWwrCjHE/rwb+Z6f9ifMUC9hY3/qa64PwPqnWt2Xr9mv 7oBtdzXYBpOuQC/01eL4aim1Meh4wYcw0S4cL/21FRFY//Sb91YLB6ovFBlZ hvVPNZ91fcTx/agQeBz1RTJyfqF+YarCbawr7TDSHnb5VBfMOcd6inWlW5ZP 90Aenu4RbKC8ghdLU2Yir4JKY+5jXem860qaXlS/IOPsJqwr3Zn11gB5WH+1 T5BN9TctqdZA/WkloiHP6bzI8v8wQHkOStYuUcjzf3mobmFb6Ef/z5luU3hz hHiBkqidMaHzQjNp8pa7VP+Q/f161D8Z3XuwhFlHKuZHLheYygKXu92y31Iv 0P9hgzp0XpNVK+4PUv8AD0ZjX////qEw2qI8heJfPKYZPOOtJ3QYZT0sZtZB 5mvtm4iTbe1ghThr1CbMIdQ/BMhz9Kl/ALnH+34hTjjsuhhu+om4Kty00Rhm QXHg6/L+9x5wSlpQzlC8muzdbaG9upoF7JwNH1IPnv3fdyv2LM0tpt/t3uK8 Y0/ZOWB/zhgKNf0EywoskhEn0vXA7J8UZ8bAp/Qd4tXwVdz+CuJIvVAVS6M4 5o+sjgX/6iFyvRlms5bXA++N6/Cw0AYSxv02Seb67Z1cv2027rdJP9dvO3D9 9o/cjMRJlkwS5ZI4udeY+rMUWcFrpqfBvI8j+Sz/MzG68EDFKLwHjOCK4Ueb //eeDB/TvAfvN+wp3tFdrEXj+ekHMvksmbA/TmUF4lR8CldEHKHTaUIUB+x1 NdUQ55GSgTHiPL2kdHv1SRYIaZiy1Plqwe1Dmi/n+yGQqgzVp/ES3DfpdcV4 aeDz0CuMl3adT9Gm8RJkb7SbiPHSGns/RYyXAib8wHgJlFdUN2K85FUmPhYv PbbKMh+1YJNk3mTR68pMojgjkn/tqA2oWgRtuWfGJsvy8vSa1jGJoZL6oWMn bEF4H7/QBd9ccLY3alQq5xAl6ZwH25I9waqreV+uRD6cXdXF9nzDITlOa0J0 Ej1BvGS5JcWHuzl5UxD/DKdhWIPi7zYc2Urx4ftCFUD8qQKp+xBfQtlrSJ7G q+57hvj8hOqg57DrKOaxtaqSFzFWs4jkQfZ8zGPbOMgkYx47/P0lcfcNLPI5 cmhoAbsWbmgkVvGftQFd07bU3tZsotKg3sFbywHHjxafGmXcIWXFi/U0XgWh yjfPMV7lnGv3wXi1jl2I8SpkWx0ci1fLDDTH4lWZtu8LKT5kAN93xHdaEPYW 8T81XGBL2bWTsGrLIKyDrL9xdhbWY+r4YRzSLdVEjje7rzgY1U1yC1JEsmaH wJeX9XEsqSZ48rlxZH9UNyyvyL+YSeXbttqXyp9gk71qVZVWSZXkeNm2SGa7 Dcivtgl29c0lcTYRw9jPMRqCT7Gfi4d8Y9Ik8snSmoZpF2k/L/00eB/72T7S LTOhpxE4ftce6OZ0k/yz643VGoKhrfXX13e5HcTPqukSz7ZWMirK4cHz8LEZ /tZ4Tj7svI4kL5WH6X47i/Kumf1J2K505ahyrDMVfOL0bGvaLjXlmlfYLkft vaK0XRBv8MYQ2zWbvHyqkf6KaNnmm5w/RtcZuci9gTdD4U/2p/gN6a9AbmQe H8ql3WUXonzRuRCfbL8U2CikZoP7ZSv9xepxv0xA6ujewdZsWLNJvxzHq+np tyIcrwUjfZd267Gh6V3HbqFMJsn09nnsLGYL+c0i+skqTNIl73Gcx5xNTD2V bmN+4/1LSd9JE0qIp0mrssJlDpkSJfJ02ZVQkCu81jt9Qgk4RyXkyFN52a8O W5RfaCyw1l5A/9c4BF7H93AOdbTb4Xs49mb7ZQdWsMj7nyG3SxTqQJ7P31Da j/6vMd8w0LePBeukXrWxT9fCTLvqtrrJdL7cv6gSr8GCh0LzJlZOofwsFYuU u0TnY1aONo2LyNr3UzkYF9k94i/FuIgVIqmz3C4P2kQXzZ7/jkNCfULZHXQc F5bvYx8NZYPpDr4Y3B/ZLdqUg/sjtn/fv6E8gWVbVcqQJ4fvJoYiT5Q2xf5q yX1PiOaTxKHptF2XT7uESlwCKWa627fc96D018oG5VO/2m5B+WJJ9a0v51VA 69aVQalVbNL/aPPQVz0v2B1RW1GyKRdaJg8t6aZ8u3GxYPOtZC+4meTsUrAp l6wl0Too//pz2Bzl//q3lJc2uO6QDpN5NbjuKFdsqyw/TcfptsihCkM20Vj6 oQrrbjyed4531K+SlEfFOei7sYlfZsSUbENfGP5H4AXvlUpgBwT81qPyzcd2 pz2l8m5/6cbnpq3kWoHSjO7UDmKZPd3moMkVyAoTnVyRXU2Op6QZ3XjKIkd9 fxlv8woAoVlV6szsatC6YJISROWnFaamb6XywYKxeprERXNvFdbTHP9lwLTl Y/U0CRxOlcR6muO/DLDpGqunSV4yL9tjPc3xXzsw/7YP75GRfcdmZuM9sltq N1bgPTL5SXf+VvzlkDX7GGcznMPJTPGfs3ymMeCuhOw1LapfUl6dNFvwKln5 XKRYMJEBrXrMPqwbW7tdsOa0hjVp8tcZiTCz+7fuLdRw694e+2/dW/Dh1r39 zK17W7dt+ti9Ntvpd0OjtE+C59F1Y/faBqwi0B4IrlM9TO2BOAfZyWjPtSdT 0B64rCoTKyZ4FS4Mr32G9jhOikV7IDd8KbNMwxp0fFYOoz3/ju8/ClMwvoXG xKlGGN+mpVYq4bjMjJ0VR8cFuhVGQnFcvos8Xi5yrZpcj8+TayEsmFLeHbdn ZwA4Vw1OwXHZvSszm44LeDJ+nsNxURKMS1b3LwI+DaUb9xI4kMbreHQ0PBDW xwWJqfoXkUWzb5WgPJhpGYvyf+35mO6McTvo9y7pxrjdar2bzgfKt7jnwfFY 54Wjq1uPfCuTf2HDT/nWtGF01zE3Nvgb7n980cAXHDNaUpBvx7RchynfQCvz +R3km2iVmLmo5wN4V8e/xPUXB+LDVXzx3RWLgXlrrPgr4e9hwWWzAtjwLGhB rZiZL7yaGO4xzfMBkZ3xRQH11T2PXUV9p/n3TuznrySnNdwiUF9kpYHqHKp/ 3ELoJl3HiaHGoV+4jt84tCAI1/Fp9yb2U39CJE+K96I/cZi/n43+ZM3glKXU nxCeUalp6E9c3VcmoD/pcD7p3jEpk0wcCrkp38oBifAU6XPy7jBp2nNnGufA CUarMcY56gWdGhjn7PL9LE/9GPgnuV1DP+Yyi6GHfkzF2ddX3i6PRFRvX4H+ R9OpexT9j/Pj5RkzqH+Y9SZ7ngOTTarW31fm1QuF6FOacu/pOlJldnMZ3qva HnbJfmy9SH8Ww5qUCdXFQ1fQHtOEU3PRHotm61RL2g8/RtLyaD+Q3ohpJtgP HXzMqvm0n3kkFaXwfZsr7p9uY79dftnkcpD284SVOjtQ/+9I/Qj287/jvvFO LdabIGoFn0Wx3sRRrbBpn33ekuW1l2NwP0s4MykT88Oq06J5VCh/jl6Rq6P8 IQ8dtnggfwor026upHyTzcu9j/KoWFM9lI98XNAWuzEXCrckBfp/4BCP4P2q j5JCgbwc30dYGL6rGvd35BicBbiPkCEUN7aPcHCfjCTu75CJemP7CGsk7o3N O82I+cfRDzTdeiaI846vZcwPwOkDIlHoB1LLhMbmna7BmB+AeX803qMfqL23 fWzeGQzMXyFH5V8Ty1vnf/AnndJ1l0SnMCBCYWy+k4hfnEic7wu3nxjzP7Is 4TE/8y66OwXn9WjvhjE/IzwSM+ZnPLr/NOC83uyiMOZnvunfHfNXgWHnXNA/ 1HZbzUY710iMfZeIlCr20e/CSY091/C7jZsznxTNqyAGrwmLrhcQOmvGlFa6 XqzbU9qM645IyuRkur5AYHWTHa4vli21VrjuNB3Nt0W5ovr7dSh/8Lj3+TBd l99NcIrF/HlI8MdnmD+f+FC9MZeuL4uNLm+j6wu8Hqw1xPXFtfyeRjFdj9bH NKigHPzuaKL8WtLZzm7LQlL1ISfjeTqHzLLk1fl5zwtK7Ub+JDu9Jnvedn47 ZcchCVtLNSIZgSAjy1M8hdpfzdv9GvncXyqcgHxuCzgi+4TqB53Mb6P6UFc+ 6zjqt8SF1SP+XSe1TIoPCXsyVBHfOO1MYtXerxDC8XK+795JLA6lugctCYYX 766sS4pqgM6+T6+vmvWQj7KH/U0VQuDHw9/KwRtzyUHvvlfIK7P4ahPk1QTN d5dtszhEXyagfopwIUnZ99gJ78ly73eTPO79bgnu/W7ecX3YydXP4+ozf26+ jPq3cgW1z1TlQzRvuyXqc+/hkj3ce7gW3Hu4XH2I5+oncfWbL9+Q/25ZCD5G md7Y3un1AzOwveWSBoIaIhVEObbXia+aTUb2W7/mX+cFW36a5bqXNJLk2TaC 9iXdZL8mO2fzZB/QFjgX3PS0ldSF8XqaWHUQsYJc6WsSV6A67gHfzwNfiPqi InN7+R7oHP4n7vgZfzh3uzqren41ucafwh/ziQWX+eayFx4MgBg9rZmeHytJ sGTwoqAjlG+i20Srt/iCw0lfyDRqJO9WH+03+9YNHrqrxL2/X4LwfOW5KXcK SIeZFt+XYg7Ie0jauu69BMab7zUkRjLBX0yw1n8LG5anL72D+/ht2w44rBOp gJkBQfNpuyDxyh9nbJdE/8eLk5lULyKQ30u6gnSVnhUSPHIVJnXfHZx+ggPa VUcnZYS+Iu0ty0/azrkCn9sMbe5NxHn9+c4Djw9k02Zdz4MVV2DzWoNAYTre SyQPPE3k5BL9W//cxvuMf38XBS6p4hBr5pqwROkc8kr9dS3eZ1x9RDe2to5D fgtEP91tkk3CRGye4n3G1kDLCXc+c8i55b4xe4ueksh5CrqpwXZQsvbIOSfq r48y7SSzrPOISJPzKyNXe7h+f33LLzYd9xuTf+R4pJBDu6ZPvqnAAJ+ZNnrN 7RwiWnFSs5Qvg+g6rrx+o44BPJ2rsa4xiZ8b8zilJ5FIuu/ww7rGJSa/sK4x 6VUp3eKfl0T6iGMV1jVWsZ+AdY3JjvSIYSv/ZFLz89wyrGssfuP2km76Xcfn B4MdPVNIkaWf34mTdsDqWoD3ncncY4KdO8MeklAjOS+876yYX//OlPp9k0in rC/u8eTnqICZezYDvEPORAZTfAe9L9oPdieTXaM8ZU+P2oGS/CbfrUPUnp4Y ua1bokmfumbyrJkMcM3cLZg4wCHXjZ4fV7VIICnqD5v29RyGA33Z+4/9ofHb KTGRvSUxxPv+8f3XBB3BXlnIfZTiLx+efi7+cxLxaexzGfVwAmN1vVkN1O+N zh6dP3D8BIn9Pqi9vNEBbsGhD2tGaLz31Tro2aRQskDFd1Ls98NwyULJZ84w hyTdVH6t6hZJvusujupXsocaZ0XFKmqngZH9oCdEka0Ltfepj9pDW0NApR+V Py5y167+EEVmVCisWtzuAK9rsl2VqXylyu11d9yiiWSbfIhi/2EwenIP97WJ b4mvKlMrlDRGtLbivvbTxYNvSqjfnuwTXHMpJpx0PDHSV+y3h8H0berB1H67 pWwvj9ZLxEnrrGb7QnsQ3pl01bGJzocTNgV1x7JAaQ9r7D2ZO/I+4fHt1C// VmdsFM+AuA0rO/E9mauFC/A9GXhXGGq77mUqSI34GuF7MjnG7/aYf+PA8Z/R //hWpoOA/ZIVkyoYcMNlNw/lJ/goB+3cV/QUBCbN10N+qq+KP0v5CZmGoSaU n3BGubAU+bnKpd3wYC8HptXP2Lv4+hOIE61vWqhlD06M9Q17ORyY+veNf8eW FNAfcp19coYD3JZsRF6BQ//q45RXINuYP8YrA7O7myWHOMBr0Pmt4Ho0VGa6 tuI7IVcF0iYl0PV66qP81gmyN0DXmvnjnK0TyCqfxHdCYLfKKyWrdCNQ2CGR ie+E6NquxHGH4M2DNX+Pn4B284laOO7fjPne03GH2GldnMJJoaA8telXDB13 W+EoM8orMM4vFTpQEgNfeG/rIq9yh3hdKa9grrpX3qPPSSDQwjFDXg0+4y+n 4w4FaZGDDR+i4NyxfFUcd3Ztzwk67mCb+UMlxi0aDkg+uIzjnntd1JvyCnQV 4tTU3SJBW6kvEnl161iKHOUVKBy0rfOGKJhS1GGKvBKbzMJ3VGAb+6HOYumL EJ5wTAHfUfG1+a5G+QCDJ6MyLrdeAp4P/SuQD4PajaWUP7DM81KpX0w4XG8L BeTPqou6Mu10vjP2l+j/055IZiroudyZ5ACuLnvnXPhN4wepGIvYXXHkmsAO Tdshe5gdflI1hM7rv1eap3QVPySc3THSqkvtoWDpDzxXAwZi1uKPxe+DdcfU n3iu5k1PLJ6rAbV3KWt15KLgC+f1CJ6rKT6si/ManC3Nl9B5DboL4mJxXr9+ P+Yf4Ov7/egfwKllYCf6h215zugfYJPz5h3UP8CC2qYx//BjcJfH6XoO2OyP EV8knQ1LVobxnYi3hYYcl43QwgFZl1PXzEozYc07o0PKmgz4OO2NQxCdF6df 5RvrH8oC3kUGq462MGBO9K52HcrDrcXvC4r2pED3R21HK+oP18529ftF+Z92 RT60LSQd3CaeMZVUZgAnpvhYMp0v6wcXTZsXmAoB2Z38O0sZMC9uVeAyamdG ZpPYlrxkYNW2vdtC/eTHkFd5y/I4JLE398Qcp+ek2vD8e429DnBvyb23Oi85 pOJe+kBqWAHxENnpuGj7YeARP2mXQv18A1/QpiDDPGIWOsnupNYR6Hxl3ZxM 1/1zZ0V25/Tlkx+LGR9HnR3h9apDI9qPOGSpqOSkjy5FJGVw+YnNP52g66zw LPNODgkNbnVU40knV2WGj8hMPgwdQuDwoJ5DaoL8936cmU2MfveLrpY7AgdN 9+nIUH8usfFpdEhjCrnJ/0Nt96gDWJ3Z4f2sh0OUxF9qePikEndFQctB4SPA 3HzfIpD6VeH10grTTZPJk8kFaUY/HGBXhOFOfLdE0e+IacT6RDJSsexSA51H v/YX2k+k/nmqanxd4PlYItlVL771qwP8H6lTIS4= "]], {PointSize[0.04], Point3DBox[{{0, 0, 5000}, {1, 4, 4810}}]}}, Axes->True, AxesLabel->{ FormBox["x", TraditionalForm], FormBox["y", TraditionalForm], FormBox["z", TraditionalForm]}, BoxRatios->{12, 14, 20}, Method->{"RotationControl" -> "Globe"}, PlotRange->{4500, 5000}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{1, 2, 2}]], "Output", CellChangeTimes->{ 3.448195594489151*^9, {3.448196109855184*^9, 3.4481962187063923`*^9}, 3.448198470402281*^9, 3.448219950089695*^9, 3.448469971727077*^9, 3.450337866701795*^9, {3.450337900911961*^9, 3.450338017199986*^9}, 3.45035326322639*^9, 3.450429968341851*^9, 3.450656427349432*^9, 3.450656482492572*^9}] }, Open ]], Cell[TextData[{ "Let us first look at the gradient flow. The code for ", Cell[BoxData["GradientFlow"]], " is at the beginning of this notebook. Note that it just happens that the \ gradient-flow curve goes to ", Cell[BoxData[ FormBox[ RowBox[{"(", RowBox[{"0", ",", "0"}], ")"}], TraditionalForm]]], ", but it does not go to all points so this is not a general method to get a \ geodesic between two points. We first get the coefficients of the linear \ terms from the gradient." }], "Text", CellChangeTimes->{{3.448195714994268*^9, 3.448195719233919*^9}, { 3.4481982971242247`*^9, 3.4481983187311172`*^9}, {3.44821996067071*^9, 3.4482199706216993`*^9}, {3.4484699831630507`*^9, 3.4484700029838533`*^9}, { 3.448925396869917*^9, 3.448925520390046*^9}, {3.448926003367249*^9, 3.4489260505724297`*^9}, {3.450338095245023*^9, 3.45033811660264*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"coeffs", "=", RowBox[{"Last", "/@", " ", RowBox[{"Last", "/@", " ", RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ SubscriptBox["\[PartialD]", RowBox[{"{", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}], "}"}]], RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}]}], ",", " ", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], "]"}]}]}]}]], "Input", CellChangeTimes->{{3.448195815828908*^9, 3.4481958714136467`*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "60"}], ",", RowBox[{"-", "20"}]}], "}"}]], "Output", CellChangeTimes->{{3.448195814416951*^9, 3.448195871961783*^9}, { 3.448196222794038*^9, 3.448196230095096*^9}, 3.448198475929208*^9, 3.448219973370583*^9, 3.4482777558101*^9, 3.448291395712233*^9, 3.44829807969339*^9, 3.448375608270013*^9, 3.4483781624085627`*^9, 3.448378219454068*^9, 3.4483921636205683`*^9, {3.450338112448338*^9, 3.450338117933135*^9}, 3.450348087215805*^9, 3.4503532666937017`*^9, 3.450357545350939*^9, 3.450378437693492*^9, 3.450429970269189*^9, 3.450656427532916*^9, 3.450656483895068*^9}] }, Open ]], Cell[TextData[{ "Note that the gradient flow essentially terminates (within ", Cell[BoxData[ FormBox[ SuperscriptBox["10", RowBox[{"-", "6"}]], TraditionalForm]]], ") at 0.76 seconds. And we get the length from the article: 190.1393." }], "Text", CellChangeTimes->{{3.448196235876257*^9, 3.448196278346121*^9}, { 3.448287254546166*^9, 3.448287255265057*^9}, {3.450338149660631*^9, 3.450338157946477*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"solGrad", "=", RowBox[{"GradientFlow", "[", RowBox[{"coeffs", ",", RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}]}], "]"}]}], "\n", RowBox[{"tmaxGrad", "=", RowBox[{"solGrad", "\[LeftDoubleBracket]", RowBox[{"1", ",", "0", ",", "1", ",", "1", ",", "2"}], "\[RightDoubleBracket]"}]}]}], "Input", CellChangeTimes->{{3.448195876157209*^9, 3.448195937113748*^9}, { 3.448196006340207*^9, 3.4481960170966787`*^9}, 3.448196071149885*^9, 3.4481967641743813`*^9, {3.4503381621227093`*^9, 3.450338164484909*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ TagBox[ RowBox[{"InterpolatingFunction", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "0.7600529771234816`"}], "}"}], "}"}], ",", "\<\"<>\"\>"}], "]"}], False, Editable->False], "[", "t", "]"}], ",", RowBox[{ TagBox[ RowBox[{"InterpolatingFunction", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "0.7600529771234816`"}], "}"}], "}"}], ",", "\<\"<>\"\>"}], "]"}], False, Editable->False], "[", "t", "]"}]}], "}"}]], "Output", CellChangeTimes->{3.4503381649149733`*^9, 3.450348292383243*^9, 3.450353268529455*^9, 3.450357875965459*^9, 3.450378439960984*^9, 3.450429971546935*^9, 3.4504300155731792`*^9, 3.4506564311082983`*^9, 3.450656485014659*^9}], Cell[BoxData["0.7600529771234816`"], "Output", CellChangeTimes->{3.4503381649149733`*^9, 3.450348292383243*^9, 3.450353268529455*^9, 3.450357875965459*^9, 3.450378439960984*^9, 3.450429971546935*^9, 3.4504300155731792`*^9, 3.4506564311082983`*^9, 3.450656485078369*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"solGrad", "/.", "\[InvisibleSpace]", RowBox[{"t", "\[Rule]", "tmaxGrad"}]}], "\n", RowBox[{"NIntegrate", "[", RowBox[{ RowBox[{"Norm", "[", RowBox[{ SubscriptBox["\[PartialD]", "t"], RowBox[{"Append", "[", RowBox[{"solGrad", ",", RowBox[{"f", "@@", "solGrad"}]}], "]"}]}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tmaxGrad"}], "}"}]}], "]"}]}], "Input", CellChangeTimes->{{3.448195876157209*^9, 3.448195937113748*^9}, { 3.448196006340207*^9, 3.4481960170966787`*^9}, 3.448196071149885*^9, 3.4481967641743813`*^9, 3.4503381621227093`*^9}], Cell[BoxData[ RowBox[{"{", RowBox[{"1.9862501276575496`*^-9", ",", "9.999980373410446`*^-7"}], "}"}]], "Output", CellChangeTimes->{ 3.448196072117157*^9, {3.4481962242290173`*^9, 3.44819627970406*^9}, 3.448196764547792*^9, 3.448198479600272*^9, 3.44821997673947*^9, 3.448277756774996*^9, 3.4482915993546743`*^9, {3.448298074464913*^9, 3.448298081213333*^9}, 3.448378163676495*^9, 3.4483782349637127`*^9, { 3.450338124263015*^9, 3.450338167999366*^9}, 3.450353270679658*^9, 3.450378441331559*^9, 3.4504299730255337`*^9, 3.450656431522944*^9, 3.4506564863362494`*^9}], Cell[BoxData["190.13929982941247`"], "Output", CellChangeTimes->{ 3.448196072117157*^9, {3.4481962242290173`*^9, 3.44819627970406*^9}, 3.448196764547792*^9, 3.448198479600272*^9, 3.44821997673947*^9, 3.448277756774996*^9, 3.4482915993546743`*^9, {3.448298074464913*^9, 3.448298081213333*^9}, 3.448378163676495*^9, 3.4483782349637127`*^9, { 3.450338124263015*^9, 3.450338167999366*^9}, 3.450353270679658*^9, 3.450378441331559*^9, 3.4504299730255337`*^9, 3.450656431522944*^9, 3.450656486394843*^9}] }, Open ]], Cell["The straight-line distance is 190.1279, as in the paper.", "Text", CellChangeTimes->{{3.448196286706236*^9, 3.4481963246659603`*^9}, { 3.450338173940372*^9, 3.450338178274054*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"NIntegrate", "[", RowBox[{ RowBox[{"Norm", "[", RowBox[{ SubscriptBox["\[PartialD]", "t"], RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"xx", ",", "yy"}], "}"}], "=", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}], " ", RowBox[{"(", RowBox[{"1", "-", "t"}], ")"}]}], "+", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}], " ", "t"}]}]}], ";", RowBox[{"{", RowBox[{"xx", ",", "yy", ",", RowBox[{"f", "[", RowBox[{"xx", ",", "yy"}], "]"}]}], "}"}]}], ")"}]}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.448195876157209*^9, 3.448195937113748*^9}, { 3.448196006340207*^9, 3.4481960170966787`*^9}, 3.448196071149885*^9, 3.448196767535521*^9}], Cell[BoxData["190.12787414883505`"], "Output", CellChangeTimes->{{3.448195914730171*^9, 3.448195942631956*^9}, 3.4481960175931396`*^9, 3.44819607664319*^9, 3.448196293247889*^9, 3.448196767870492*^9, 3.448198482976083*^9, 3.448219981996488*^9, 3.448298083727469*^9, 3.4483781651334143`*^9, 3.4503381795931168`*^9, 3.4503532733925753`*^9, 3.450656435525321*^9, 3.450656488136651*^9}] }, Open ]], Cell["\<\ And we can view the contour plot with these paths superimposed.\ \>", "Text", CellChangeTimes->{{3.448196329089994*^9, 3.448196341626087*^9}, { 3.45033818527414*^9, 3.4503381894896097`*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"cp", "=", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"x", ",", " ", RowBox[{"-", "4"}], ",", "4"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"y", ",", " ", RowBox[{"-", "2"}], ",", " ", "5"}], "}"}], ",", " ", RowBox[{"ContourShading", "\[Rule]", "False"}], ",", RowBox[{"Contours", "\[Rule]", "10"}], ",", " ", RowBox[{"ContourStyle", "\[Rule]", RowBox[{"{", RowBox[{"{", RowBox[{"Red", ",", RowBox[{"Thickness", "[", "0.003", "]"}]}], "}"}], "}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"cp", ",", " ", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{"Black", ",", " ", "Thick", ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}]}], "}"}], "]"}]}], "}"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"ParametricPlot", "[", RowBox[{"solGrad", ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", " ", "tmaxGrad"}], "}"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Green", ",", " ", "Thick"}], "}"}]}]}], "]"}], ",", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{ RowBox[{"PointSize", "[", "0.02", "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}], "]"}]}], "}"}], "]"}], ",", " ", RowBox[{"Axes", "\[Rule]", "True"}], ",", " ", RowBox[{"AspectRatio", "\[Rule]", "Automatic"}], ",", " ", RowBox[{"ImageSize", "\[Rule]", "250"}]}], "]"}]}], "Input", CellChangeTimes->{{3.448150723190174*^9, 3.448150767610228*^9}, { 3.448195975978969*^9, 3.448195997155395*^9}, {3.450430699320649*^9, 3.450430730992558*^9}, {3.4506391327404737`*^9, 3.450639201520815*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJx0fQd0VMX3/8tms9nNbnY3hao0UUDgSxEUpc2A0ouCNOnSBKR3pBgBQUC6 SBOkSBcIvcoM1UhdIECAAEsIECDgEkKyJJvk/8y8efm/D+eXwznr9U65d+pt c1+ZXkPb9jUpivIsUlH++xV/bq79B0/cN/jWvsF2HT7wH3jLosO/vNts4bvN TDp8N798NpPwr/n4NB1eng8n6bD48RyR8CyBJxKeK+rr8HXRvg7PF/1TCe8R 9OlwgqBfhzX+ENZ+/czIr58Z+fUzI79+ZuTXz4z8+pmRXz8z8utnRn79zMiv nxn59TMjv35m5NfPjPzK/twIa/T7gF8f8OsDfn3Arw/49QG/PuDXB/z6gF8f 8OsDfn3Arw/49QG/PuDXC/x6gV8v8OsFfr3Arxf49QK/XuDXC/x6gV8v8OsF fr3Arxf49QK/igL7V4H9q8D+VWD/KrB/Fdi/ipFfRYH9q8D+VWD/KrB/Fdi/ CuxfxcivDmv0ewnML4H5JTC/BOaXwPwSmF9i5NdLYH4JzC+B+SUwvwTml8D8 EiO/OqzR7wN+fcCvD/j1Ab8+4NcH/PqAXx/w6wN+fcCvD/j1Ab8+4NcH/PqA Xz/w6wd+/cCvH/j1A79+4NcP/PqBXz/w6wd+/cCvH/j1A79+4NcP/CoU9i+F /Uth/1LYvxT2L4X9S438KhT2L4X9S2H/Uti/FPYvhf1LjfzqsEa/Gfg1A79m 4NcM/JqBXzPwawZ+zcCvGfg1A79m4NcM/JqBX9mfG2GNfivwawV+rcCvFfi1 Ar9W4NcK/FqBXyvwawV+rcCvFfi1Ar+yPzfCGv0O4NcB/DqAXwfw6wB+HcCv A/h1AL8O4NcB/DqAXwfw6wB+ZX9uhLn8/0Z+3cCvG/h1A79u4NcN/Mp+Jb9u 4NcN/LqBXzfw6wZ+3cCv+//61eiPBH4jgd9I4DcS+I0EfiOB30jgNxL4jQR+ I4HfSOA3EviNBH5lf26ENfqjgd9o4Dca+I0GfqOB32jgNxr4jQZ+o4HfaOA3 GviNBn6jgV/Zn1uHh/xXfF+4Rn8A5MsAu59f/ymT8Nr8/i7/H7DCpwiYSLwR VvgV0Z6OHyT6p9C/Dhv7T4f+0qH9dGZsPx3qp0D9FKiPeA+0h+U9zDh+HtAP PNgegfrEyP8b7YG84iFAP7SXgu0R4B/koRRoP4UAv1A/HfpPh/7ToX461A9A /QDUD0D9ANQ3UWN9EzXWN1FjfRM11rdAfQvUt0B9C9QPg/phUD8M6odBfSfU d0J9J9R3Qv0IqB8B9SOgfgTs7ygqft06bGw/CtqPgvYRHw39YfloalyPUQDj +YP2I3keyPUZAH0bzw+snw7106F+Ouj3KVAezwPU9/E8QP0c97+iwHmo/en3 PNaH/eKF/YL6owf0Gdzv6bDf06F8OpQPQPkAlA9AeRM1ljfBfWaC+88C5S1Q 3gLlw6B8GJQPg/JOKO+E8k4oHwHlI6A87ie8z6OgfhTU1/cflbBxfn2wnnyw fnww/z6yKx8+ruHT2Nn8/XhLw6eSEQJPJP6pwGvlU7E84rF9bA/WRxrbn1/d qY1PLjPWz2XG+ggrXHQv5w3rp0L5VMAnAD4B8Bxh4IcDv8mAT0Z+iYHfmChq qK/CBn5icL79MN9oH0D+FW6cn1xYH7nYHsxvLsxvBuAzYPxwvDyA9+D4w3gl wHh6AO8BPK7XVDj//FA+C8pnQXkF7iOFGssHGWGcPyUL+M1ixvWpcFgvUD4Z xjsZxjsZ5gvrKwrUB/6SCbQH45MB45MB+FzA5xrXM+oL6vgY8ejfyWWG8m+s X1xfGXDfIpwK8rCiGPvnUB73u/yTeA7ysaIY55PD/sb9ngXjF0SN+CDY32ZY f2ZYfyGw3kKgvRBozwrtWaE9G7Rng/YkrJ0vb6z3aON59YZ+mgXji+cLrjfU /3Jhvt6YPxjvVALnFbQfTdvmw7s0OBvaS4bzMRn2L4f1yuH+kuvBrcOwX4He DIBzYb0Ew3wFU2P5YJiPUCgfCuVDobyFGucjC8Yf589EjeOL6zcI2kd93APy swfOuwTQnz0gP3tg/SRg+yBfemA9JIC+iPKvB87HBKiP+ysExsMGeBu9LNab BmcD/RzOZweMnx30JS/bnl/9oc6/Ea8oRjwnxvMwBc5HL6zfBNZ84X8E2Lgc b6M9y8Pe+4+8hQ4N5qBPoT3BSxqL9qgcX6N9yUPeEe1RSa+x/QTYfygfyH7k fkwhxvLJsP8csD/sMN4OauQ/BcbDyxbllw/T6TO2Fwb7yQ7nrx30Z4UbYT/O J9i/0F/PUb5QjOPBYTy8YB/xw37wA16B9acA/VbAWwHvBrwbxjfAyuXPt1mH tZgTHT6UT7+85wPsqFjfurwl1o/0owSYcb0FYL2nw3ymQ//p0H869J/OAnn5 f0TCxv7Tof902B/YXwr0lwL9pbBdAiYSNvafAv2nQP8puD+hfw/074H+PdC/ B/r3QP8e6N+D5wmB/gn0T6B/Av0T6J9A/3jeEdjP0H8K9J8C/adA/ynQfwr0 nwLnXQrQkw70pAM96UBPOvSfDv2nQ//p0H86nMfpQE8A6AkAPQFi3G+5QE8A 6AkAPQGgJwD0BIAeE5wPJmqkx0SN42OixvkyUSN9Jmqkz0SN9JmokT4T2BtN YL+xAH0WoM8C9FmAHgvQYwF6LECPBeixAD1hQE8Y0BMG/YdB/2HQfxj0Hwb9 h0H/TujfCf05oT8n9OeE/pzQnxP6i4D+IoDfCBj/CFgfEUBfBNAXAfRFAH0R QB/SEwX0RBnlgf/0J0P/UdB/FPQfBf1HUdiPIA8iLO9HKV8lwH7OIlAe4Fwo H0Sz8/k5K+CYIJB3gqixfhDQawN52Q7lbcbyMW4jXoUN9dE+FgP+hBgcrwCM D/ojE0D/SQD5GO3zCSBfJoC85YHxC8D4or1cl4uPSPqF/O3S+s9jtwRMJWyY D47+lCCjvqviD4vyOmxsT+Fgr1EM+ksM2L842i9RH7TDerFTo3zvgfXpIUZ+ Md4Y5Tk/yBcKN8J+kHcwPhnlTz/IQxi/jPKpH+QlhcP9CPISwhivjHg/yFcK N8J+kLcwvhnlYT+Mdy7Ih34YXx+Mrw/GywfjgfG/KD/7QJ5MB9gH/PuAfx/w 4wP6MV45hQXl/1o1OBno9wL9XqDXC/R5gT6Mx0V53Av0eoFeL65fBdarAutR gfWmGOlTZ9y4vhRYPwqsFwXsASAPekEe9IJ86gV52QvyoRfkQy/Ih2gf8II8 iPGrKM/7gD4f0OcD+lCe9gF9GI+K8r0P6PWBPOsD+v1Arx/o9QO9AYhHTYf4 UpT//UCfH+jzA30YL4vyN8Zfon6A8aWoLyggbwWAP8Rj/GgA5gfjSVHfUEBe wvhS1D8w3hT1EQXkTTPId2aQ78wgb5qBP/RHB4F/NwjkQTPIg2bgzwzyoBnk UTPQj/GjqL9YgR8r8BMG8WgWiC9DfQbjQVG/sQL9VqAf419R38B4StR/MF4U 9SEnzE8Y8It4J6xP1KcwPhT1Kwfwj/GiqG9h/CjqXxgvi/oRxpOifobxpU4Y H4w3dcL4YPwpjhfGl+L4oX6I8aaoL2L8KeqPGI+K+qQbxs8N44XxmxEwfqjf RcJ4RcL4RMF4oL4XCfxhvCnqn5HAD8afoj6K8bZRRnlb1SeM/GA8KuqvGJ8a BfxivCryj/GoUbAecHwwPhX142gYH4xXRX05GvQN9MdngX8jBfwbySBPekCe 5OgfQf8FmZfPj4xDQv0wlfjz2ftX4y8D4FCj/0jVn4x4F9jbo43lVf3MaH+P Bn98Fui3ARgfjJfLBf0hC/TRHGbO/5Xv7DLgfVs6A35B30hg+dPXTNITD3gO 79086B8C+jj6qyBeIQHuf06AfvAfm6gRHwqwC/RftFe4QV92g77uhvgSN9iP 3Mb5i4mE/R0J8xtlPO/QnkCjjPSreKO9RdqjtPFU2zeMtwob8RCvGQPnj7p+ jPOZyxaI+dbGPw/m04P2F2JYHxzsO2p/BnkrBuLpML5KHR9D/xTtLTnMCOcy gz0lRsZzyPM4B/ZDLqznWFifimLkP9ZoD4oBfzrHeFgO4xeL+4VA/3KdaTCe d6kw3skAe4GfRDgPE8A/ygFGf7KMp5D9x8H+Rn9uCviLUwFOBv3NA+cvJzn5 54+Mi8DzGf3TsryE40B/SoDx8wI/8XB+JhDjfCXC+QPxWOp5bxy/VBjPZIDR npCgrQcJJ7LD+fRr9r8YlGfxPX0A1ys38ofz74XxQHsF6uf4HjMA+jrqV6iv 4HswlOcdII84AB8JeHhfFAPvp1TYyF80HZo/viEajPJCsrbeQzU4ScPL+YqD 9RIL/u1o432vnl/G/ZcD+zNH3js6bFxvOl6D8f7OBjgA+z0O/QnaepPnTSyc N3Gw3uOIcf0FGfmh8N4gJtJ4HnOAFbif3pD3FN5E0Kfh82A/5kH8kAP8BXbQ 3+2Ax/cbDvBnoH8D34NEwv0fCfJBBMgDERCvAnhdX9Hmg8P9z+G+U+cT4oMh 3kmh1vwf7VyLUejpfPQ1HTauv1TNvirPg0Q4f+Jh/aTA+kgC+CGc7144v/F8 lvdbQfyQsb14Xc4Sv8kApxLj+n8C8EOAkX6M/w6H+XEY/S/q+W70n9kADqMb xHjr57XRfmSnvnz+7+p4o/8rzNjff/FOhvPez0rnj69855EB93MynE9JgI/T 9r+2H2NyQP5AeSYC/H/BAJtgfQWBvprIjPs5Ce7PJGI8jxLhPkoE+RLnMwn8 deGwHyNBHof3VCpsbC8Z5JckYrwvU+H+TIH74iEz3i+pAKdo+Uksenkj/fi+ OQz0R4wvxHg44FcdD+N5FQ7rGd9vpwJ9TyD+0QHrG89PlDe8wJ9Cb+e3F6zh s9iI/PGR91wWqyDWtwanMZAH2bdiPDU4FeTBVPJZ/np6rdGTS8T6k3J/LpTP hfnOJcb2Q+F+slNj+3ZqbN9Oje3bQX/B+i6o76LG/l3QHuDV9WvU7yKM7avy h6F9FTa094Z8oihG/3yQcX/r8fAF/mBRX8I3WT64UPJ7nxj1L7yPFW48j1G/ 8oL/XQH5Ope1EPzpcEvBv7wf2Q2x3rT2smA95eJ6Ysb7KhnKv6EvEYgvhfMi mcB5APdhMqzHZGI83+H9kZIF9qoswOcCPbkE9hsZKPYbkTCMD9zfWbA/soC/ EJCnQ6mR/hBq5DcE9pMN5BHUn+xwXtiokX4bNdJvA/kSYYxnCIf+wqmRP8S7 gL9woCcc6AkH/sNhP4cDfeFgL4ow0qPqM4bxfgOOgPPBbexfhQ38qPvfML7q fWngT4UN/KmwgT8VrpxfPlmXL98WMJGw8XzxgHwH799jIJ5GlX/hPGdwnjNY z4BXuHG8FQ77C+67FNjfqgZmmD8vgfuJwP1F4DyC/RkgcD6BPIv3UQD6C6HG /mzU2B+u7zBYvw7YT+Gwf13USJ8d+guH/lzUSF841HfB+g4D2AH0OYEeN+wX J5wXkVA+wkivuj4N9Krr3UCvijfQq+KN90EE0BcN/EcDv6jP4nqS788l/iHI k/hewwPnOeR7iAF/QYzUHzV5VpXvjfsP7fUc7rc34rtgv8J7WowfQ/u4Chvk fx5l1HdVfV6jl0t6oT+kF/YTjifykwL3rQf0Tw76YAIx6r8JzJtf/qLgh4fB eYT2CoUb5aE7YG+Jpjfz50va2/OY8fwMg/MzzOgfohHG+EAVFvqH1r43CvwX CjXKY/eIEX4AMOjDqO/GyHEt8LfVzK8fr9En7UMF+pux/SRYzwo37ieFG/fT G+e3YoS9IF8lg/yO9uVk6B/lKf081mEjfVmgT2RBvrgskOeywD6dZXzvps6P kf4QkD9CQf+zwfkUAv7oENA3bHB+2eB8csB5ZoP7AeUvB+grNvD/2gCP8o4N /L82wGM8hQ3GB+UzF8Bu0C9cALth/MJh/MIB7wb9Cu6jGPDvx0B59X4yylt4 H0WC/IXyTjTob5D/SoWN4w3+dRVvHF/MbxWA+ycL4iMDoB+h/z0d7qs0yL+a zozrJw3ysaaD/p8G/adD/2ngb0qH874gz5rEG+cD6UsB+pKBvhSgLxniZVPA XpGM/jCgLxnoSwH6koE+D9DHgT4P0MeBPg/Qh/EPCRCv6QH9LgHycXpAn0wA f5AH5OEEiI/0gDybAP65FDiPU6H/FOg/FfpPgf5Tof8U6D8V+k+H/jOg/3To PwP6T4f+M+D+SYf7KQPuh3S4PwririTeuF4yYP4CMH+58L46lxjkDSUP6AsA fbkwPia4P4LhPDHBeRwM8UomuE+CIb7IBOdfMNwvJjjvguE+McF5J/Vwt443 jl8wxF9ZgL9QoN8C9IeCP9MC+hLe35hv0wL0SjnVreON9IbCeIfBeNvhPguD +wzzQDqhfReMRwTEq0TAfKG9MQLmKwLurwjgPwLuU4zniwL7RxS8z48Gezfm RwR9Lgb8a+p9Bv5+jG8C/1oY+DvQn2ijQgB+rI2HzfiehrvhPQ/EC6njYbCv c4h/VO9zgz7EAVb5NdaH90UYj6LLDwX52oz6isKN/kTwZ+n6gGavUfWRt/IV tMOivKqPdMpv74bGP8Zrp4J+9wTGPxnwSQBj/ASH9xuc/Jo/Hqc1fckO/qlU 8Hc+gfaSAZ8EsJf1y4efaeOB7+ld4B9BGN/bozybC/4jhLNAPsoF+zXCWVL+ 0Oqj/JYB8QlpYL/IADgN4idQ3ssAetNAXsmA/PnpYM9Lg3z6KA9mgH0f/UUZ YM/IAHkL8WlAfyrQmwryVCrES6aAfzYZ+EsB/pKBvxTgB/0PqUBvKvCD+GTg JwH4SQB+EoAfD/DDgR8P8MOBHw/ww0G+98D65BivC/IWB/mKgzzH4f2NB/wp CZDv3QP+kATQ5z3gH5H5i/R4PJAXk8E+lQr2BrQ/pAJ/ycBfMvCXDPylAH+p wF8K8JcK/KUAf6nAH8rD6I/KAH7SAEb5FOXnNLDfZAD/acBPOvCTAfygfJ0G /GWAfJ0G/q40kK8RnwHydRbQjzDK2zlAXxbYJxFGexTK30FgDw8Ge08Q3CdB gA8GeTYI7EEIB4O8awL7dzDI70EgrweBfwzhYJDfUJ4PAn9aMPgTgkCeDQK8 rg9o/KC8HwLjGQrjFQJwKIwf+mdCQF62gL8wFORlC4xHKPAfAvygvQ/xoTD/ aE9D2A76gg3GG2Fdn9Dqo3/GBfSFgz6B/kiEI0D/igD7WQSsxwjw56B+4gZ9 BO15boiPRxj9seB/egNG/SMS/LEIQzy8Kr+Bvg5wDuRby2UG/4GKN+pbCeD/ SAQ43qjvqPK9oT/qNvonKLyXUPUHg37EMR81+nswn6SO18YDYciHqrZv0K/U /q8JeV/XP9oKfVHXD1fklz9MJN6gj6l4g79HxRv0By/411QKwJ8A8nEA5OkM kG8UboQzIJ4lC+AAyNMZ4O/OAvkL/eEBkNcyQJ5WONyXIH9mwXrCeJoAyHMZ oI+hvO2H8fHB+PmAXx/Io6nATyrImygPY/0EqJ8A45EM8moy4FFeTwD+8X2T F+VpkGc4yCv4/gHzo6I86QV5MBnaT4b2UV5FeSwF2vcBPg3680F/aSDvoLyJ 8pUP6PGDvJUB79szgB4/9O+H/vwwnhkA43v8DKDPD+MRAHqDwL6B8VgKyFMB oD8I3kug/KWAvIXyFdpvg0B+CAC/KB/lAr8KvF/CeBaUh8wg/wTD+41gkH8Q DoH3o8EgD2E8mRnoN4P8YYP5QHkH39eHAt4K9FlBPkJ5zQr0hQKM7+lDgX58 X4/+2zDgT38nrfNnxIfB+gmD+DU7wA6IN8f4Vnwvj/FudoDxPT3Gx4bB+DhA XgwD+Rzt0y7Ag/wZg/ZTiJdTyxvHF/NdukC+d4E8ingnrH8XyKcuwDtBnnVD PJUL3mtjvJUT5F03zCfGKzphPbsAdsL8uQB2wvp3wvrFeC8nzK8LYDfsBxfY p+H7VPieVkF5HPwHKK+/Ec8VaZxvlN8V9M9D/joVNsZHAoz5A1S8Ud4HWKXP GF8JsBJp3E8xkO8O3/vq+Qkcen0j/1FwPkA+AVUfMcbTRRnXM+LV+sbxAFiB eHQVNvIL+fQwXl0tbxwv/P4M5guQ+Xf1951wvydo8oKE8X1nKtiD3pBPwB/x GuBsgAMQ35bNjPrXa7C/or3aC/UTQR7n0F4swHH4nlee+xqM77HigF8vvBdM JIb3TNwN7wMhvwW+f1ek/qvRp5Y3vu8GWInH+GHMPwD0eYz2N1VfNPizVNhI P7y349g/xlcGjPqpqm8bxxu/35sK/hYfrM8n4F+KBTgOYIzPfALxBKmg3z8H GMsnA/4h7I9YgOMAjof6HoinfM6M9sEs8CdkAR7z/dnhvAoH+TIczivILxoj v/9T8N4Z7CMwf/HG99c0AuwF8J5TxRvX33OYnxSIt3wE45UE+IfEGJ/+HPxt DyF+PRXsK3mw3jD/Itoj/KBvK9wo3/jBf4TfOw9AvpAsgP2gP/tBX1Z4Plp/ j/ca9sdz8Gf5gB4f+LN80J8P7BU+OF990L4X2vdC+15oz4v2HcXYnqIY21MU Y3uKAvkJQP/1gv/EC/4SfJ/gBf8N5udLhvZ80J4P2vOBfukDf4oP3mc+h/7x e8/oT5H57uR7ykygzw/0Yf57H+SDSYP4rzTIn++D/D1p4F9DOADlswD2w/j4 QX7AfH4Yf6yAvIr5+7Ig34If3pNkQTxaFuTn88P7yCzwr2UBXgF5DfP3BYE+ oIC8poA8qsD9bwZ+zaBP4fehg0HeNGv6kPYdwZhg0JdMoC8FA2wGes1Arxno xfx8GK9tBfqtQC/aD6zQH+bTs0H7mC/PBvkwrGAfssH42WB8wmA87ACjPcAK /j0b+Lcw/hv1eXxvHA7tgX/mjfc/GF+tf7dZtEfh+8TqfW+cD/k9Yw3PwX8U A++H1PKG9aWWN45fBLwnAlitb5xvjMeW9ITp9BvnG/K9Yby4ijeef5HUmB8K vseswsbzLxLylcD3l2MwP52MH5L74TXICxzkEw7v42OhfiLYjzPgvM0gjfLX wwsNzgS8i0bmb9C1ol0vyPNvfL80C+SxAHy/JYsY4veUbPCHYT6ECPB3uY3j r+oLY/LH55mAaRR15/+HR6fXmL8rEuLDoozxhBTzZeH3MG3wHhPgN76naYP3 RgDr+TwL8mkZ9Z1cyLcVC/6cWPn+R4MPQL6aWLgfY0H+PWDMr6SOl0He9mI+ 9DiQ5+Lg/dFJ7B/Kx0L5A8gf6MM6vZI/0D8fwvuvOJDH4+D9/Elm1Kc8xBif GQv2+Vgt/kXCB6B8HJSPg/InIf9GPNAXD/RdA/3zIeRHSgT/XaJcdxp8kxnz R9iN8arq/fNxfoc3NH08jEbn0xOvw8Z4VsyfYjf6bynAavvG8zsA+Q+zAPZD vqEsY7ynev5BeyB/ZoF8mkWgPpS3wfmB8aQ2+oU4DzQ4G+JlMX4Tv1+E8ZgY b4nfR8L4ynTwX2I8I+ZTR38sxkdi/CDGC+L3idC/ivGJGM+H8Xv4vSH0f2I8 HcbPYX5x9Kfi94MwXg6/H4T+Voxvw+8FYTwbfh8I48EwPgu/n4PxVPj9HIyH wvglzBcdAvZq/P4N5DdA/wfG76iwIT6eR8H9lIffv4XvA+YSKA9wDnw/UIH8 TArku1GM9z+H+1ndj7A/ifH+hO9/qPdXZD69a/X77HI+LPPHmuC9g8ko7/Ag Y7w9x+85hsH3PCCfWQzg1fPReJ6j/ToT8oVlwnu1LDhf8HsbfsjPkgUwxqf4 4TxAexGezz44v9MAxvPLB/35oD+MF/FCeS+U9wJ9GO+hKMb6imKsryjG8U6C 88gL54MXzgMvnDcYr4HxGT6oj/aTdLBvpEP7+H4Z4xMU0O9kfn8ZD6fA+YP5 6cyQD8sE/sxggM2gr2J8gRnOJ4wXsIL+FgryQijgLdB/KNCL+XAs0J8Dxgf9 +244H90wvm5N/36pnU+Yv90F8aUueH/lAnojIP8LwP/lO/z/x1fFG+KjVLiV 0Ne08wj0S8wnHgP+vze+T5wN+tpr0CfjQF7GfN1PIL/Dc9AnXxHjeQv5FtTz 0HC+qvKk4fxVYUN59fw26A8x2RD/FYB8eDnw/iwH8Llgb84AeTODGcZbPY+N 8CvQb31gj08D+30a4NMZ6N8Av0L6wN6aAeeJnwB9RjgG8nPHoD7tNurTMS7w 50F8AIXvmavr0aCveQEuHWWEMR+/AvlLKLwnpICPAXmFYv7TKOP7Owrv8yjg 38jPHQD9EvM55gA+15iPLyYS8iNEGfULtX9j/C/YHzjgMR+5up8N/KP8ppbP zV9vGn+lIV43xgTxuyajvKTKOyvy1/dhHRblZD6GANgfVoN+v1rqCUdkfcBj fa18Qf5t432dDPJPAtjDEuD8SgQY9e1z4I9E/+Fj0O+TwJ+I+VAS4L13gub/ lfdvIsDxYC84R4z0XWbX8ts7rZ+HRvkR30ti/mtpt5LwfYDvoHwI/o9guA8x 3g3zSduNsHpfGefLC/7UJICTMX8y2EtiYf5WG+0Fb+SrjwN9PQ7W20mAcT0k gn0K4zXiwD51DvxzcXBfxsH6OgnwOWLMX5TLDLCq3xjOjxgb2Dfhe+vq+Bv0 Dwr5kjG/0eooI8zhvlXHx3AfqPqeEVZom3z67mntK3Ry/oDc1mHj+o2H9RoP 6/MyzIcX9huH/cZhf8UCjPa51bDfEoz2Mx4G+qoN7N9htIHgV1t/YbS74FeH D4vx12A7vP9OgvWdBOv7nqYPWjT4EcAP4Hx7AufhEyj/GOCn4E9PAzgd9NFX upwgfjPA3psJ8U9STpH8vID6yVA/CfAJgE8EfBrstxfg/84Cf/drWD/B4D+S 9hupPwVBfBXEt/AIo7+Lgv8nBv0/bpDX3bAe0N6YDfIqfj8hHs7LeLBXxRNj fvVgsFdAfmlVnjDkG/OCfKTKd4b+Ocg3Mfp3prT+E+D8TITzOBHWVxzEz8j8 +lat3TiIL4zTx1HrD9ZDPJy/8YBPBHwi5MMNBXnLCvknrOBPzYD4qlR4H5QK +ATA4/uYBCjPIT8aB/slh/iCZCiPcBrEn+B7B3hvifHTb+gPuWAvygV7XQ7o P7mgP+Uyo70Pv5+UC/b+XLCf5EL8SS74G9EeGQz5QUxgj8R8zNlwX/lBf5b5 vaT/OR70Y4x3xe/pxMP+kPehPG8iQT+CeE8KeOU53C/P5fmpwcnQfxL0j/JZ IsRjxWvfn5T7UeZBl+NzD/ShCNCHIoz6DcfvW0fA/osAfccN8kQs3D8yvlPC q8GfFgvxQrEEykN8YCacDxjvhO+1MD4oC+KJQiB+JATibcxgH7KBPclGDfYC 9Twy9meD9wuREI8B8RcU4/M9MP9xYG9NJwb7mPJKnsda+SxYX9kAB5hBHo0x QT79YMinbwL5XlEM31tQ59d4vitKU4HX4NXwPe0EiO+O1+y3Er5MjPs5DuJ5 46D8OfD3erT1VqDPGddPBsB+OP9ew/mH30vPANgP591r+D5sBny/ORW+35wK +ATAJ4D/MQHKc+iPw/pPBjzCaaB/BsF7qBCIN3aDvonfh8PvNUD+Jgr5XJVw gB3gfwL9S9V/jPqBvC9kvm3wJ1Hp/5PyTSbY97LAn5MF33dIg/s1DfwjueBv UDT7j3z/oYD8GQ6wE84TJ9z3URDvFGW0R1O0z6I9FuVZjGdONfIXA/ZICvFo en7QAvuiYb442Ms4vneJg/vrHDHeD15NPi24zyB/l2Lc36uN/kcO+rf+fkrP Nw3tX4b2vXB+3AP9LgPgNNAHX8L9dwDKZ4L+HAT5QWR+QOl/QH+3WVsPWtya Hh8qYTPYiyLpsHx6NJijPzrSWF+PB8zS7yejfJJtzM+grgejfBAJ8UvxcD94 mPF+OAfrMxZgRRHjU2A/MOars0N+6Eg4T+B9jLpfjOtf4cb4lTywf+aBfJYH 3xvKA/nTo+kHEr5sjPdSwB9O0T+O9PmM9JSG75vEgH2/J8BvxNeB/Efh/Z9u D5TySBLYf5Ngvb8C+Y5r9XH9F3x/wIhfTYzrPQjkLyv4A60gj7wG+SbLKN+o +8V4HoA+ru4343kfCrAV/AFWiL/MAPkh05jPQz3vjevVAfpbEMCK8fxV7zsD vRTyg6jzb+AXv1+n56PV9R2APcQo/9lAHwNY/x67PG9MNDj/P/z6+Brl32Dj +aOvN02e4JD/5o3zJ8LYPp5fKmxc35HgP8N8kgo37A91/xrn0wz6j/5OWJTv Cfuvp/SPyf3xEPYPfr80nhj4U2B8YoB/FTaeD8HwPbBgiKcLAn+iAvygPJ+I 8jl8H9EG8Yg2OJ+CYT+o9GW/1bzkYV1f4I36NDuV/Zvc735Wb2raLfezgnz5 XbtXOl91uEnHX+2TdiioX0H+/As9tjw7/ImmL6n45NEJnZuNKsinv6p8qZUT R8n4KIVfP/rs1tFnBe+x7rc40ft+4YL3ib0+KNf7g3IF761a2Ma2tY2VdlMf G5wyfUjKdHkf+9jD0uWdI5IsWnkve7X9bf/2twveSwV3fD10cZ7EK8roYY6M 0J4F752gPoH6BOjT7anjMm/O6rPvHgF6CdCryxOyPNBPYPwJjDeB8dX93Xtr thvy1UqfHp8uYRhfPZ/0wMD+xqMGvibbxXzo51mimC85P3r8hix/Scw3lfj6 Yn3o8KG7G7MnHdL1S1rJNn1hzwry/jHr+//9xCr/NAtT9Hjwaq2a3Sujwpnm YZ8rmQXvX7qcqH2r81w5HlbaJP5ipbFdTDqcFdH0dm9FjoeV7ux2a2+3WwXv W6T9Yu7S+2UfD7XS4S+SC38+RNJT8J5l9ucnTrWuaNX1/2t//7CrWYxVjxeR sBwPWV7qu7L9SiV2XS5TSfLvoDl1rhV63k/Gw7jpnEJTTgdKmqiE+7bbbYv6 piAvcr1//X9Nb1nwPnlq/T9n1P/zpS7//dHyjPpPrpeC/P+dP8r7ecAHbrq+ VOWsY2slf9G6PrK38M7f7jUueF8h4SK7qm93jizIz796SNle5qV2viTo6NbQ 5n7Wi9V4sWugiafMLV7uYG0/u/m841/UHWDZvj/XfzzXz+5Ymq9pwEJoxsij 77V68ZrdOZeRNsURzKc8rPr+g/Yv2Mm6Lbed2JXDyu9dW+vbwAs2Z8/ghXsG pzF/Tiklt5SPjfeUKNFuooVWuGI/P2iDj9VLOfV3JXX/ef6sWWdZES9rVX/8 t9YHL1nQ/6KPXPAksZQj2xo/UfdvQrOQhJzUeaxE1drJJ9Tydfb1P/7Hubtk ScTRbYu/TGcTjz8sNepWAom9uWf5J+85+HLTjF77Jj0jl/0Txtf8NJiXK3ah Q9wvqeSTdVsSekxLY717Xf2s09J/ScnlTUeMmWuhI9/Knbcq7Tn5+JOsdQPX 2fndt8K+DlmbSXb8Uv/AjfEm7pmwMOf4lkwS/vO6+e3HBdi4B8PK7C2cSb7Y 1OvoNYeFLthQ+fzYXzNIcmrUx+tfvSYth0Ys8O3LJUlNM0tU+yWIzmfDarY7 kUsa+nO9y/LC6PgPjjZrRfJIk/dGbKtzwkXrHpsxdNPiPLL2Zt4ee4NQvrv0 6mOFNgbTUjlDjq8o5aITS5RpvqlOMM1t2LTzv+p89T6lLKhyM5T2Kbd5x7O+ 6v7ObWHxPAylqYO/XrB1RoA97dHX98e0UBpWNbVMrzE+8mu768/P1Ail60sP WrK0iIUu+m3ytPXtQumhvjtanToUynOnW7ouqmunZ2etKTpuZhgd/dWcQs0+ ttPBxVvNGdDBRUuNXdflt2/t9F63+7V3f+wj0eNPDLhQ1EVvz1y18cCAbPJl 1/b/0FwXrXQuvXev/5nopg/GFNn3yEVZiYXP+gdbaNjNuxezG7po7fDgz0/2 t9Nft75zamu2i7Y+82Ln4YsWOjXuRomkrAj64cZx5XubXbT8P599/XRBBN00 dYGz76klbDtd1KTG0yhauk/k2M0dXpOUEEfkq1lR1NzwTOchnwfR+xMPNOEL o2jTXf8ubHU0jAbdaeprsDuK1njr+/fij4fzZUNXNXgZHWAH3gmptOR0OK8f vH/U2GRpZ3Tze7aDnYusCrBDu2s8nd35CVm/6uFHK2dks09EfbpRq/+LwLM5 Ak+gPHlrdOcmuQ3Ps35pDx9tXhZEb43Kh4mEx7KHo47NvsJ++nrFt12eu+nW joeqhU+9xM5U23Kg4is3nS1gIuGOojyR5ecsrLF4RmY4Txp6cPue+5G076yi j67Eh/OfjxTf+3Z4FE344qtum394yq6f/HB6FVOU7v+O+XT5k/KXo6h7wZVF xUo+JWUS42vstRbk65b45aJ9mqi13/i+Kev4YF2/5/I87+A+1z0yMoxau5/d 0O2sHlehn+8S7++Wj9flU/HrOZKc/etvw90RdNC8C++lJRe899FgKuG+K8f5 K1138rBa1f938SfG+giYarCuvxV+a1tsxQcF73Uk/EnWI0cRtfzNL75o8Vdd jvWxfb298dZ2loeng+jBpKF/tjtyk52tm9hwWaqij+f9o62rHRoeRG/MaD0x 1XqKDWpx7vnEcnbadUCTQ6POOvl3JR0pF4YmsO2HfaMDYxz8xyNXf64++Rgj l3r+Omusg759/9cRFaL+IlsFnmp48nmjnL+VgQ5+s3jUT1nFbrD1Z+v0GzDI wacsWHv2XsY19lnLWhc7nXPSB4Wmbhn863Wi9UdHiv7IiYq+emP2O+n2xXEJ JabcJ02rpny6ZNhfZPeGd28/rW6nywS9RNK7YmPGpZYrbfy35nfv/LzhMXOY l1QpssPGrw3/N7HKWw+ZXB9X/mlvrvwqjN7v16hs0F35HT079fefbxkw/7ku /008Mt89NUF/f6v8crfPjCrH9XwiBMqTMrd217u1+5l+n0t5eemX71/7elqB PndQgyW+xZ8rGvrU80a5UPrd3/s91e9bWb6vhm99jbv2j7HyrJ+G/EGq5bDc RcWib3UP4VnHK/fO65vDcgRMlRMCbi7KU1n+nafDl03bZKU/dJnhSCmXzeqv 8a1/Uc/JKxfvm9QvNZ0lHFrVanFnJ7d8UvHAd/fSWMfg2WNMH9t4QqORn5vf UfGX49a/rGvj1nnele2vvmTtBJ7e0PANRHu0ptbe/ULBuxZMyGUHl31nPbbx CbslYCLh7dYIX6+zuaTWxRLvPrv/gPl/HGL9YmIwfR4/pUTRGsns8FsVehxe YaPFv3acd615zNZ9Gj585xInZYO2259FPmXVu+1p+cOaYL5rZMSjMYuvsaPx VTtUbJfHxizpdPnbry6zQRfcw8auSifR60e7P2vP2T6BJxJf+ePXOed65pG2 Mz0vlq8/y6qJ9uhqrb3uhXsHyI5g2vyTb89/v/gEK/RDg6jf421004wz07/y xLOou3UbsEQbD5zbOmTWs1MkSuD5JIEnPUR9XlrUJzVFf0zrj4wS9DGNPgL0 EqCPAP0E6CNAP7m5qGbtMrudfFpWkz32OclkrRg/fkCMH3k4vcK+0G02nlh+ hKnvOw+JNt7cIcabBMR88FQxH2SfmC+mzReB+SMwvwTmk6SI/ugZrT9YbwTW I4H1RmA9kqsCTy0a/pZoj+Z+LNqbGjmpU0/1flxR6r2+15OzybIKnVvtUe9P x9/dZhyODpByYj9wbT8Q2E+kW2ysf/rGh6xcq/OOFo9zCOwfAvuLzBb90Vla f+PCD+Z9WTac//P02PePJwfRvCa9b29oHMbz7uwLupxjos8Sx92cNMPMPz/2 fqm5GUH0X25be8cZxKuNrfVBTmQQTabTM/rOUfjpcXtrHZxgoo2i31pY9l0/ K1s+eli1YUG0Lxve9nC3THb4RER60CcmWk/gicQ/Fe1R2V666I920vqr02Rm qcPfm+mWe998Vtdtot8Jeul5jd65DyIPFU1y0HfGVu1W8ZCJ/nt3VZ+t+5zc FUgPrVg6hFpn7/lpUTcn3/h6ZZF7Cyz0VaOs9OWLbfyMaf2AoitD6JbN/Tdv 7m/jo36po/6z0HajJ79dYlow37zh+bhlUSH0ZdNvfim0OZc9rvps2OsBIfSp gImE24jyVJbPFO3TU1r7Gj3UqdFjvzk5XP3H/8m9cDb3go2aJ5++2GqAlX+6 /Xyhd7vaaHKFuvHbvgrhtbu2eDijjY0+cITu/9dn5k0qleOX2obRRwJPa2p4 RdSnsr5LtE8vaO0fL1/uy6odw+mHK+sv2fdlGLV8cCawUl3Pp55Wq9d8npMO evj9zqw9Nt6rcOwff/wQTm2FS3yW8a2NNxm5bMLY+k4aUaJvcr/t6eRQ3dTg Vo5w6vj8rTrF7+WSJWm3xk+YEk5rk/5Pd60Lpu1rZc+pWzWcDhPt0S5ae40b 01Dnp+GclaxctsN5Nx0zZnO1sVWs/ErZ5u+1+8VNK3/euUl0tTC+bkqtu9bR EbTk9v0tJmwx8/h1d50DVXnMd9oysvgKM7dltl14KziC7kmeeqv0TIU799h6 5taJoB3/7Tdt28hM1nlaRnqrMhG0mqhPz2j1R4j+qOyvqaCHco2esSlFD2w/ 46Atio+e9+U3ETS5z1+F7QlWXjYx7ca0O5F0hMdb5FmLEF69y4hDtdpEUa/A U4m3jy7248NOVnom8eR7b30VRassfDV7SEIyc80/ufbze7kM9icrKfBE4lsJ PJH4lnPOlf1rgIMmvtM/JP6tGyTL82L1/wY56JN9v/Ujr64RqE+gPrlg6X34 w6d/s7WLuavsTnV/tXl3YPcDN0mmf8WXFVV5qvVirzv7zgPWbn7C6N593LS+ gImEB788t71kuTvs8w/nbSu0IYpeHr/q0fhV0t8Y0P2BS8O6tz52NodV+i4f TyRe2tck/tNTjZ4/u6zn62INBSzlUgLtE2ifQPsE2idSvv133afDXtS300en gubPtl5k/R0+T50bBfK2eeS8RsXV86Z/uWGm8sO098dKEN0oyhNZXsqb333T xl1Klb+mzl/9v7KntPf8qvwl7R1dYq9UqTgii20st3Ner5bSfhJgLf6xXl0Z XpA/jvxtejCyckE+6JQNWbd+zCjI9yztITVGduRLVmex7QeeO26+ztLHO1mU pxJO/WJa3E5nQT5naR+R9Pwh6NHLP3v+35+MX/OzOS+OVWg7uSAf8985fRKc Y2w6rPtX+e2FK37xsYHHCg86VljGTaazg7Ovk6Fu+d0CHwut3OvVoyMWrX4K a9H1oylPikl/uZfFTa0bN/WItKeksJs3Wwe2zy94T9d/2rvlqFf2ryh9mu95 /9KGgvd0E1pufdZ/RJ4O5waGlby0q+A93V5b9bkvjhXkr+Nr91zefUr/fg8B egj0T2A8yDlBr+SHwPgQ4J8AfwTmn8D4kV4CJhKG+SGwngisF5Ii5l+OF90g 1ou+P2C9EFgPpI5Yj3L8tF83vbF35sJuKwJkhn3wj3Y93luhX/LOQd+GFOT/ lfEPsblPduQ+CabfFnr6090OMu7GTH8esLdEq+d5OizjJ2T5aosG/7A8qeB9 3q6Pl6v/CvL7Jlb8eU4R6V9Q9ZNDMfYDMbPlfBTk861fiO0fXTaUJkZ9cHRw tsJ7XPrWoiSG6fa4UcuvZPaoZKE9S/78TcmfpX3YotvnJL6TwBOJ3yf6oxL+ MDl8/Kd35HgV5PeV/f89s+czr68gf682ntye/6eWC0qM4n+5dPyj20q1dxrJ 8g7aJan1on++LcjfW1fcp/xL7T6tf/9Wh0uT/WxgDeXXCfvDaLS4f5m8f4uJ +5nJ+zm8T2zMnakF7w3bVlgYumOajH8pyPdzSakXuuacnXYU/VNZXs6XsM+o enKLny3Ta8p4m4J8v5nP0uYNrmGX/Ov1NX51+Omwy0+GXS74HvihPV/Ubvlu QT7fr6c9uWBJlPaOgny+Ha73WJVew02/P1Zk4rElFr38mrcOrXmrdkE+3mWd T63Ztrnge+Jy/i+Nrdz1Vm0V3+Hk7x1Oyvl36vMv8QsEXo8/WSnapxKeIPrX 4X2Cfh3OfNv+y8Wdcn249fjkXhr9Yz/yVnm8Q67nSOpL9F+YM1Suhwjacsqa d4ueCdXhT56XPzEm1qaXn2VyvC55RZ43BflmX5SrQp+tjKBNRX0q6x9NW/Zd z9EF+WS1/nR8Wucyb90fKM+XKFpk0Z1VJ9816bD0fw+aW+/XkY8K8sGuqRL/ JzVF0U8qhdgvjpZ2vCg6teWsInF/yPyM0bRom8n86FeZTMLSvi/rVxf1iawf JfqnEj7VvveWjOFyvUXr622MRs9zQb9efm7GYOfcBgXfY7eun3uow+cO3ueo Y+QXT5LZxH+mLWnpt2h4D1t+cFXxNiMKvr+eI+QrLuWry0MjalW5ZqPXnN/9 8OmteDK90k89yqlydN2LjXu/7HqLvCR0zrClTnr9bs/nMws9JS+eV4y7MtdJ dx0ecKK44xlJXvu1P2ukj4xesKXftOWvyKTLiT+4ZjwlL3cuWTEqy0Ur/jQu ec/ygvefnefu+98fNXxs9pG8jVX/l8FSRX2m1WdwX7C2ojyR5aE/1kjYq/hd Ya9i677oUOOoKn/NObtu6bm6HrZE8E/leIA9iyW3/2Zaj7EOWr1vqwkjnH+x vFO+RRfHOOjzSldT1sccY48Enmt4Yjqdj+canoA9juyIO7+y8AeqXOGKPnOl UgYB/vTvkUv7X5Efmk6uMd7Hxh0gMywfhtLHwv7NpP37wbAKj1uOvssqf8Rr DjzgpqcETCQcNut5q6hhTt6na9ER1jaRdO7KoNmd3Sp9ezy/lW8SSY+N+nH6 y2EF7zcd/sIdRi95QN6ZOvDq/K5RdLYoT2V5p2iPfqO1FyfqU1m/rJhPLucT 5FuUf8nboj8m+5P23Taf/P7z/h+jqKnjf+eR9N9H6fbdIjVbNduu4tPyzysZ b6THN1Aee771i1UBtueTKn12+wvy1XaZE+j95zg937/ydqeD1Q+Uc/CVLTLb TBj3jA3n5Y/V/dDBZ5Wx/9Hu0BNWvdeJRQ33O/mW65VCBvxwn5Xx1D8dfsLJ U2L3f9uz/V3WJrPeh3+o8lq84+/LrxbsYUUG5F26drMgX+0I+/Nbn20oyIda TPRHtf7IENEf1foj3+/+YcjT9g7aJP2U6UDl+yRE7F+q7V8yTuxfOZ6kk+if +sPz+yclRf86/h1BL00T9Or25eVfbV41s7Kd3h5iPjnznI1braW6nlySqOen rZBz6rcV27IYyFMoj+v5XW5o918hcd/q9vjCW96jazrL89Chy0vyPpXxlfL+ lXh5nsv18Mpb665tmZuW7H/p28jAfT0eUa4HiXcKPJF4x7nQBZty5PlW8D1w zR/OQiJY6O5L8jxMxv3MZn/X+/UWv7yf3tBHGeijLK5W+Gj3dScPf9l4WbF6 nMwV+ieR+ueuvKv3rk0reD+4sPi9iJL3/tHGq+A94AT//hqlbBH02/bnFjzu +2b+XYnPKDPui+UfhPNbc2tOLXtavZ/qRB0/8Vk4v7i4SJcnO1W4zejuvT71 smIdOkxoOFyhwyZ7V5TIuMuuzHHUezpZoc/Eec1PivOanRPnPZ8nznvWuedv ro8TbHx2t4MLxxa+wiZc//XxzJ76913IWnGe0pniPCWTvJurmYreJfN+aVtv db+C93Yx3rfJmkJ2OkWsb66tb9Zpx9V6Xc1XWeUeJwp/1zKIVtk4eN/Afnq+ PHbxzNvZMdsL8gNHbt72Qd8jEk4iW2vWdrb/Q85fKpss6NNgLyss7L10pbD3 sg8/C6tZ/a6NVhxTaufXA/aw47dXv1x30EIvZbas1HBMCgH7NXnybpnhayfZ KM+1j2oS95zM376t4b3jWaR+6KYH3y1W9YuRTdb8lhhEK786/uDZXwHS/jz1 lm9spxuWzq1Vu1GA/C7sl7SYZr9cE3zh73cHqv0dqXSpVG8LPSLsUbyuZo/6 rd+q9/4KDudxy57ENOptpx8JeZdIeTdByPdUyvcLGv4Utn6HQtmpuF8/72en URPe+27o0TDasmap0d2XhdFls2fce3eTi97su/nQ3ZZhdGGvZ/+cVfs/2uyL HXN6OalF2LdoU82+9UrYl6hDsy99/jjoz+mVXPTZ+yz6VdcIWqiYaX/cgyBq KfRv1XGVomiVE/sibvW30xVhtEJpVZ6ZJPwvXJ6vrpZdH99RLmn7NYjezLdv 3NDjkWT8287xr462rhZEH5bqfWpdgTzCzNPvz0/6xsHf2vJxRvXrN5l1eTrx H3LSe8nlS68YnkRGXF3vKtR1DRl8cl+z43XtFOJLMP6Hfir833yU8H+zjmK+ +CYxX+yh8JdzzV/OUsT8cm1+WarwrzPNv86WivXAtPXAuov4BSrjF8DfzmB9 MPD/43pkc37afDwyyUIzu7XZ3KCIl/3v5N+Fu52z0Z1rZ/YcNeAW+0CsZz5k dP56JhUFnt8WeLJA1OdaffKO6I/LeIPToj8u1z/0R1Lve3/3/mWjp0osqrqw aBL5UcRTEC2eguyct6tvC7OTj5ngfzF1hp88rBzYOHOJnS9s/fpBtWZ+GV/A ZXwBjD+B8ScQ/0Eui/gPosV/EBhfkiT6o7K/vYIeGqPRM7u+Y8DhoqH84L4n 2es+NNPNIv6Ay/iD9WI/crkflw5ZX7ZznXTSp+fSoZk3zNQ+odLkwpaX5P2s cxU6bAuhM0R7VLY3sHTNp/tn2Hm3384/44WtMl6By3gFbf9xuf/+EfENfJgW 3+AU+5W30/br8uRz5Yd0MPGQpld6rbZbab2234RPvJhNAjVuNzpd0Up/FXgq 8f1E/1T2r50f9Kx2foweWPrUuSkOXq7bxMoj0xy0d8cSpVqMdvCZX57+rHux cFqq3LqL63JtvPOx7e0vHnXQvweuvn29SSgf3C31XmJ3B60v4iX4Yi1e4sLM 7tXbDHhF9qzr913qGgftu/1/za+9CKZ9Q4t+3+dnBz0h6lNZv4xon/bQ2h8h 6KGSnp6CHirp+UjEX3AZf6GdP1yeP5e3vup6eICVX53WLvRoGzc9mbAlrdqX Ifzq0YoD+7Zz07YinoPLeI4TAk+vafgLoj6V9bV4DZ53W8RrVBfnGZfnWcbd O3mzwoJ59g8vLv7WLpLe6zjsyYK0NFJ7UdOnrvciaa85Szc/HpRDnncvVuLK 0Ej6e8Bclc7PJkdS9r0a7o+kP4dE9elgC6ZD2sadLaTWz93RJaV7zyQ22Rl/ PDpEoc8FTCSsnXtHWk7s/F6fp1EU4nkY3D8M4nsY3EcM9g+DeDoO8XQc9jdL EvGJ+n0P8VQE4rMInJ8Ezk9SeqjnUpeTUj8IEDhPCZynpFGdZnsWFcRjkHKi PpX1V4v9yuR+jRL7lcn92kjsHyb3z2JxX3J5X1rm+azzpP6jyqvyPWle5/Cz PN1Oe4j1zYfK9S3iibiMJ/pV3Kdc3qdVRfwRl/FH18R+YXK/PBDxSkzGK9lF /1T2L/ObsEe39lw46aDJBwtd2TRN6hNO/T3gj/E1fhjzwEXvCzyVeBlPfPiX pD2fx0XQFwu6nWz5u4zfj6B3nn1WLGNwDrNGz7gaPiySbhTrlcn1ahXxTFzG MxUT9z2X9/1jsf6ZXP8VRDwUk/FQr0V/VPYXKeL9tP6j9XjuQs/KlFm8I0qP 1x74aFzE6CVRdHtc/4HT/pD8prD00T8+vt7Ywa++/eXOl5kPWe7sphErb+j6 lf7+OGjyzMpzg6P0+AuHBs9yBFpVS3HRtELjf2p3LYe93XH2DwszXXRe+ZYr mTOH1Xb3n/ryrJRXEtj23Jy/S1yXMGfKz/n9yX0p8RrM9ff8U1u06Honza37 VyR8fsvT32Z9EE4PFd/4x9uqfN7bP33B8M/CabuX7b5w7oqifU0R89eMDefV TpY40nlBHnuQvfjIzsXhvPqM16+stXOZRj8H+rmkH+hB+sl61nD8yfV6vk+m fNChbsWxDp0/bby1+ikkp3o+XudPGx8NTiC/1Nzfeu1lOf4J7OfmcVv7Zl8i 76f8U/L7zDCM5+WtRPwWlfCpMXHfbO/l4P3IhGsnd91h9NHLRwf6OHiDbe02 vah/W39v9UWL7R+svhpFR8cMHJQxNpx6eh6q9686Pmub2MMOTQinaxoOGvLd N3msyqrPZsdOSGJLTWNXOe1htKSAiYT7N3jn9YeNFqrn1SfzAq4IeubAn13q JHL2svHknlmq/tSf5OOJxM8SeCLx8r3Q0WaH/vnmrkJ/twyYb3l8V4+f/2tK m7aNjznpgH1Jd2d28ZKz348rsvYvJ23G3mu7f8k9wp6cq3B3t5P2OPPBixGz kknzP36YtCNWlbtZo1r9Bj4g35MduWf3yvFN1u0/Uj+X7yUX/eL7rceSMLpt +fbHy6to+Uxiwmj1NX9Ny2irf4+dtY/9pNmTBlfYgdicHmf6BNFvhT9Jjr9y XPiDNNhLijxZVm3JUQtvtbt4xYgVj0iUgKmEiy2qXmzRJf17oKSyN2zG+i/s vIX1yz/LnM8mnj7OMq/GhPNvq914XXm+9HO4ufSfaOe3Rl8uOWUbX/fnEBMv dOnKgL0zs8kxAVMJWyrZS86tZdL6yyIVRH+0ldYf+PfI3f/i48fo32clrz+n l8NXWvjrRv4ig/4JoQfP9y2/7JmVB0WPNz28GEpfCTyVeBkfX31NhbjRoSF0 Uvdbj/belvyG0GF/vLdg8BkXTfpXuVvqko36it8e/XZaOP1lbJlHCTWstOiU 3Ztf2u08PmJSzdFbbNK+r/Hr0PMByPM8YpG1Uf1tQXxbzDcTfx1ro2U3Dr7Q 9XMzr5f2e83hp+z0e+Ff0OuHi/JUlt/TKtB09UN5f9vojB5nb3Suq9ClLxdM vljTQQsLeuh1jZ6tvxzv8bCBXS//TPhbqGxfvr8s0UXcd9r8Uemvyexgsq7Y YuFFHKaNTa6G0wOFrYr9kpV7o0JXP97notnC3s9lvUYfd2pwdeBT1rpliw3d 81y09/n8+DgZ56q/n1ruaGXvpspjL0X7VLYv5+O9T+90WNMvnG5w9w/7wSLt +eF0sfBv6HTK/BzyPkxMGDDr4gIXvdd67rkzF920LP9yRsUr4dT9R80VvRxu 2pE8m7NHlcsPnC2SWzIvkm5YcbLRDzNUfd88fW7TSpG0YtVNaVPOyO9duek4 4a/Q+iv43py8XzeK+ryYVr+LaJ/L9r9L/qPzxg9MPL3splrvZ0TS0ZmLsk5P MvNPj6wOD82Mom7hH9D2TbSeH1Peh2NEfSrry/cAO3xfXvrkYSTdevz8N1s9 2n6JiaTfC/8Dle3J/CHyvpX7Z/hfIRMzApG08a73zzS7bdfrT417VeujBXI+ Ayz6l0P7vvghRIch/orN2rJ21q8PrHxB+95zPh7iZ0VFeSrLfy/a0+GYy1Ov XDkSQvvElts1IiyLfdpp/6ajt6X/JZ1t+c+++IlNh+v//KHj11RV/2i+duDr Mi/Z87Xu1LUek45vvGfvwX9STXym2ZS96l4ae55/PsrvWaSzEyU/e/0gNocV 65t86qOQNObNS+qbVk/u73RmGlnUlN7WQpv9syW4UsRLYe/8xKbjGwj6dBji 19jNthMmJQ+x0eBLS265pvhY7RbvDb/R1KmXh/g2tm76H9/VHuqkq5/+3mFD wxdsfNWV46p2k/67FAbxe6zCjotfLJkczF8Xf7/v85P32aPqJe9XXyW/I57C IL6P9WlX/+GP5jzWKTVyW6ED99i5Eh+Mjev6Ui9/bnWd/Qc3vGRrNnTMq/3b A/aswdzuR9bo9z9bOy12SJt6Dh2G+D8G9gA2qM7yxI5rdPs20+IXaYyIX2Tr 9kdOurHPqd6Txz58/f19dnT0/aOj10l+PQziLdnDx0cfV94ZzDMGlhxa+PcD rE/O1R457fOYLA/xmOybQcfsruF5bFjz2MF7P/udDXg+/+Cn/dL18hCvyR6T +g3L/J7Ohv6wtGeVloyVfmv/6l0D9Xxj5GmVrqt+y7RI+siAhw2nDFbh6y3j 5+We8BCgn0A8K+nZq8H06iuD+S+x/2zt3PIGAfoJxLuSmMQob/UKeSx2aqP5 2x23CdBPhl6K6V+kezrLSjz+rE2z60SbH7leyAsxfzrsjakZVKqmg7tO1Jo2 aN8TAuuLrP2xxvYFLVR6v9xzb9JPTwmsJwLxv2T1/Xs3/a1yWZvW9u9HWp8R WE+k0NnSpo71XrLuvQ9+2mnrYwL7mcB+Jq0OfL71eLydT59ydmu7PekE9jPp c6KXv+4xE0+9+ueuipdVvHE/k9j+O6+/9zzAltQ5/PbXX7wisJ9JzRk/RM56 30J7frmyR+tarwjsZwL7mUA8NIH9SyA+miQ0DjMNKuqkZvOQQMP2mQTOSwLn JYH4b9I2+Oog05dWfuHUqPqfLcglSfNa1689Xr4nziUQL0d63rj7cbllyazI v/cOKMF5BM5XAucrgXhycqj+7WczqoXQjy4fKRX5NJeYFls3hVikvmuivzft Nix5QpgOa/Gj/F0tfnTzne8+2h3n4FembL34W9Vg2qJ2ZN7GbaF6edfHcz4f NyuUhy9Y0ej9ZSb623/+uGlmHV+2z6bUansVHf6fiF/lh7T41bpDTvWJsZn5 SF650xc/BdOe63etOjJP3ocm2k3EyxIZL1tKtEclfr3oT4e9Iv6WyvjbFYI/ HW8R/OuwuWl+fC+13BXxvTv6Rr1opMpH5lDX+V7BwdT2zeZ3q3Rx6eX7fHCQ ra3roikv6y19sUWVWzcUO1i4iNyPFjpkeOs/qoyz6fC2jTf2HXpt5/tH5PaY +p2FNsjsQzPfDdbxUVXznBVemHi1ZqXCgxdZ6P4Ks3dVsMv9aKGhK0v8ENc8 h+1Mn3hgv8dCu4j3Cvr7d/netk/q3rPzRoXSgaJ/Kutr9OnwJhHfS8do8b2z nSFF0yY5dXyYiA+mW7T44PnDzYenFlLvq7e7Hqm8LZSW6DXv0sWKcr2r4/qs zqN33CE6fL1CWs6J26H8yP0ak+1J6rgKPJX4YqK+Dj8S8by0lRbPe/KrijPP Tpf0OGmoiM+lf2vxuXVP9u3/UWo4bZ6+oc8Xl1y0qTneVLaYXM8R1FttUqut 88N0WItn5S21eNbhjVvvmrHNwS/VN3V/OjuC7vtPPn2YqfvXPhfxs0TGzz4e kT3VcVWutwgaK+JtqYy3TRT96fiWgh4dririeekGLZ73RZeRR084w+ipGdu6 zloWQdc/KdK50245nlF0+Jh5G8I2huiwS8TTchlPm3OqcMXbpa18VcaA4z3n FuSH6LhtVdWkx1F0pKhPZf01on0dHi7id2kNLX53X+qd7/o+keOXxWrXa/PO hQJ9n9URsIZPIL60X3t7TiSwBVOSzwzcq873L383i7l9mR2q9Dzz1L9h9GXj b/c0fpqi5wuI//rkoNgrj0j/V2eWtP7Ipuuzw2tOnTTsvJtujelcosS+BBL2 cvmSVzfc9HCDJkMj9PwVkfRUrSq7apV18n4fp3frvyOSHg35qf7Zu5JeVT52 nF7aefI10qbSenuRU1G08fwSywZEXycPVvY4XeJEFD0q2qOyPbfwB2v8Rev5 FDtr9obLpMTNCXPuMcfyZimO98Non16hy7+KvsuOXUg490m/MOpMOlQoZOpf rLDz3ILmj6LoqJId/91oPsgKf157z9CUKFp88yj/yEVyvFKZT8TH8DMiPoa5 br7z74O1Tn7ebKlz61QK27r4ee8Sx5y8Qnrdd4p19bJF4r2SVt/LWk1/1nPJ HXmecPaFgDX6OZlY4lp0xZh/yNfNE3flFLfT9vdW9kuba9P7n/Vjas9Ky2x8 VeWTlVO+ecLadztwYS+38Y4Hv/tz6u17LHH/01/f+1uPD2XtK09NerIylezZ +fPXsxta6UShz5Fumj4n442l/gb3Gdsn7hv+qbhvWJJ4r8vle91pQv7nUv6H +4m1Fu1R2d50oV9QqV/A+1gG8gRbK+RrvlyTr28J+ZzneYR8XiZwrFSggUXj N53B+1oG8gebJN4Lc/le2CL0BS71BXiPy0A+YVeWFZk7jxZ8b+iIeJ9M5Pvk w0I/IVI/mZfqtByNN1FZHt73MpBv2E3x/pnK988NhT5EpT5UU4wXlePVXIwX leMF8gwbeG3djtI2B62/v3uN164XrLbQv6jUv+A9MwN5koG8yOC9MwN5kdXJ G9Q0b5DMV5fCGon310S+vz4p9BUi9ZWuQr8hUr/5u+rw5J/7Fnxv6T2hL9EM TV8C/z37U7zPptr7bHZbyMtUk5fZT013TLoxx0lLTSkeN931jFnbh3St0t5B N2yObPhOxfvs5CGLd3BrB206ImXo98+SGcj7DOR5Bu/DGcjzrGPR6V8XnV7w fah7Qj8hUj/pIfQbIvUbTT+iqzT9COKB2IW2Dap0zbNQ69gK4zcNm8cGlbpV 54aKT29iPlSyzwV2WeC5hifDBJ5reAL6FwH9ioD+RIB+Mk/wS+R7+G8Ev0Tq L+PE+BCp73QX40fXafqSXYw318ab/C3Gm2vjTWaI+eEVxPyQp0If5bs0//RT Md/8nBavAfozAf2YwHt/AvoxgfVJqov1TOT7/XCxnonUf5aK9U+kvgTrk1wQ +4fKfACrxP6hUh8bLPYf1/YfAfsHuSL2K3dr+gecbwTONwL5EQjYS8jgYGeO 02nhgR8Tai9fmkE+FucLl/oT5FMgYE8hcL6REHEeEpmfYJM4D4nU1+B8I5CP gYA9hmwV5zOV+Q96ivOZSv0Q7C8Ezi8C5xcB+wuB85HA+UjAvkXgPiNwnxG4 /wjkqyBg/yJwvxG4/8jd+KRW/+su7ecm2uOJOW1493D+bFedll1bKbS0yM/A ZX6GvkI/4VI/edA0+51sTxj/uHSfBu+qcmuTZtWWXd0QxkvSsIdZbYLombbn /72UHsqHbbqys1aGQpd8kOM+9TyU/zXynQVRriC6XuhD3K3pQ9mW8dZ/iwbx 4g8HlL/0SqFRaQfm9jnsJ08fD8vNvqTQTIGnEl9P6Hd0nKbfVZ9VeV3croLv rz0S9NEaGn3NBH20rEbfKpGPgsp8FHahb1Kpb/YR40EfaeNxaslXK1O3uWjN FW0yPE0UerjKydr/jHLR5E3fRlWbHkQ3Cn2Wxmv67OKidcy/9XXwKXt3T01J MNOLs5fWG9TSwbf+WLx5mXohdJbQf/hGTf8ZNfCbS3k3bfzdSbWv//67mX5Q 8UbpHUuCeeHsBica3zLTgeXLVy5+P4+duLP95z8cZpos8mEQmQ8j77d8fY5I fS45etLs1ZUKvh/XU+TToDKfhkvoh1Tqh6NF//R9rf+Fgn4q6T8n6KeS/lu/ 7C5d+ISTNnhnZdfdT8w0S+TvoDJ/x2ahn1Kpnz5mPy4acszKC/mf1GcdrLTh pHtn9s0M4cta/fji+wQrpQKmyzX4gShPZfl9Ip8Hlfk8rgh9kEp9sIbQ3/iX mv42v0HDi4vvOOkay4YndVW5/GDxkPb0tpP2Htun+dKgcGra1+nayN523qPa J20nmd307eqmToUuhvGJr2I6LDvkpg+FPsXPafrUW22eTuzZPps0mP5nctsQ N41bdPOjepNfk/aevN4rF7mprc5Xe8Y8D6KVMopG/FneTRu8zgxxfx1EnZN+ M41d7qa5e/P7o9Afnaz1N1Toj/Sypj8qOS7X2kMW3iZoQLGvnJH0bKfp9+5E WHjC6S1TLm2MpIFAPp5K/N8CTyX+tdDnqNTnwB7EwP7DLgs8kfgSwn6prZ8E wlY2tvTp5aAtvnhe6UjsHRId3/ir+8MdtHsN97y4JI/+fV/pTzwv/ImaPzOM Nl/daNjYiddYveqJY6ur+lQ/oU8xqU+NLJ0w7kdPwff9yn/16bOlXhcPlD3T M/2jXHZ9wtWmX19z8QNLR5OK+3OZ2XvxQGuPtJ/8F2+3J7TMSRf96puJ5z9Z ksecF/8avTTORTddfVn9VU+9PQrtUdle6RKtKg1fepp9mOx5FH8viu5Zc+nx E9ff7NvDfQYNvVfwPZ1j47Z/7VH14bn38vU1IvW19BL5+hqR+pqMT/26a+vP PrgdRZd/tPdFi1gPCS4Sl9DlWhT1vp3fH5H9jRL9EdnfmdTm3QYf1vNPcfBv snZCfudSfof7lYH/k0H+Kwb+UAb3K4P7lcF9yeC+ZOBPZeA/ZUM37K7V85WV Nuv93df9t2Xq3yNd9WjthnXkFft38A7n3cJS/8xgDUT+MA32s+Eiv5i2PnwM 5CUG8hIDeYmBfMRAPmJekQ+NyvZB3mQgbzKQNxn4txnkR2Pg72Ygn7JiIv8T 1fI/sb7CP0A1/wAbIfK7afW9KM8TkOcJyPMkr0N+vji5nhR4f0BAPyKgHxHQ jwjoQwT0YwL6LQH9lnwq8snp7ztBfyWgvxLQRwnoowTmj4wU641r643I94za eiMvxXrT1lMGuSXyy2mwn5wW+emIhDuJ/HVyPRJYzwTWM4H1TGA9E02e4FKe OCLkCS7lCfk+74+Rw+bV2Bwgnwz5rt6QgvcvBPIZ0vUTyeLVmWbumrNkyp+d FP192bURMwOzLwXRo90rLih2TtrPgyjkO9Tjpya6u+zhlxX6lpC/mJS/Tgt5 jkp5bpGQ56iU5+JFvAYdo8VryPd5hUYJ+qmgn0r6E4X8wKkmP9y115oY8TKP VSvUaUPHrGB6/njmwcpdpX0/mF4XeCLxvYQ8RKQ89I8oT2X56kJ+olGa/FRe 5O/T8GY9Hm7BkXeqJ5Qx01QRf8HnafEXWnwGl/EZcj5a/lwjOstpozWPb4lx HZbzYaOZe/5Y3aOqXE+hdK/I36fBVj2+LvRV6oHVva00TeT70+3tn4p8gFTC e0V8CZXxJemifSrb7yjyCerl5XgP0uirI+ijkr4FQh7iUh46JOQhLuUhOf/t GkxO9MwNo39Vblxh1uYMsnj3quGVn9jpztXj+jqj/Xp+JOn/l+VL3+3defAM GacTTsuL+BP6mRZ/Mvdcz6qLN0l/ip0OFvkLNdhB9yQeWtDYb+clfpjK6o13 6u//J5469L75Xxd9yqO+7fS39P+5aCkRf8HDtfiL2yI+g8v4jJJtu5dpO1m+ P3PT/iI/oVbfrb9vXjjCO9z60klbv/z9n5qlbHr7XZ/V33VH1Wd3uDJvNZzn 1PMrphY/OuTeARedN/Lk6MKxJr38bZGPnVc97S9vWxlO79etuLXtBzls7XdJ Fc2nnfr7zh47h4Qdy3bRH/cNTztzV+Z7dNHRm9+t8lYD6Z9x6t9jmTdm2ZqH /Z00XMiXXMqXjYR8yaV8WSOoVPGRM9PYj/MHd3nnbSf9ubHp6PjRPr19md89 8cJXSy6/FU7LCnmWSXnWI+RZJuVZmQ9Zlr8l+CGSn8GCXv09r/w+rKS3kxg/ KsdP5quX4xMr5pvK+d4j4n+ojP+R56mcn+Zifqjkp6yYXyrnV5tXLvNHVhLx Nvr8uxtPTe01JZRvGDL+/9V15dFUdt+f4tblEvc2vk0qJaVRvW/U2znNE0Ua kUaNokHzJM1R0TySJtEkSRP2Q4UUEUmFEBlKSREqfvd1zn5av2et71r3n7P2 GfZz7hn23mfvzx6lO8ZQjNcyLln3LPuLIf1SFbvfzYq/P3oYUsyPdc2z9byV cX/Wi8fpYg/rQ0oavHbdzin/8PXioaSXGZ4lXw9KOi5hi45PekPBo+iY1rtr f/Cum3i7nq7UNaQDFhuWv1JoieNdXfX++rdxdSQqesj4MxmG4nx+aWHt2s5e SdOvhG2J7MbPN3V9Bfseit+D+X+RXz4+9eTj4/x/v3BnrJVMKcb7tub8DGT8 iP3j/OP3BrLvpfi9lgzfk+L34nmq7DFeWKMer9e2yEkdVfz881DRPq29DcmK n1B+Mf3pbw0V9XXOVh70RLxmFTVldIL09cyfiY7k/kx9WX8U6wcwfFA+flPx +wXnPVq611TUYLtFp/cleP7VgA3Di+DlKmjB9BcB9Zetxu0aOz+TU/+6FwMe Hs0kBxheBa9fRk4fKu3aXltfmBjjv6tydxW8mj76DVHfF0/maA41OF4NL8uq W3/L1xNWOVcsC7KpgXNtUyM2/vFHh2iGz0i7c3zGTFafbuP1TzO8Uop4pdZG thOXrNWlKxuV9xpeWg1TQrQdQkaU8f1WCRyPg/OXA5J4TCbPrhb9bSH82ZPl p9Yq6OJsF7dfa3bCzQfeTuYrFTRtWGj351ZJDK94tei/S+6x+gKvT8JYfYHX J5J4VXJu1IeEt1dyiGlyUoX5NQN6NaXhtp0n9IURk653edlGKZ7n6B/mtxTo smzMt/YnvxGun2hlg5oGxgqa0MI/dHBvJb3J+qNDeX8SvECQxAtK47OJJD6b GNyevOXV0jxInFnq23C7isZe1Pc/XpEL75xPju+0R0WtGT4PQXyecEYnSE9g 74d0EX8/fMzeD/l8q+jQeY53vKubUPcbuTT8+y8wNgvekTVIIXg6m12t6lYM 8S7H9rbJlQtL++Vcj46+BOVd564ali0XYmMOHZ6Q8RhOdt20uTJTLswbkFGy vlkCjDdZnxLVA//PT2Th8kueZh0UtMJ75JPW7p9JB9Y/5f2Tr8y/nXL/dpLE xqPt+9aPR6rZeLQPG4+YFBqXDsiS00kXtKratEogjiw+k85h8ZnkPYuf4+Mn k3UjnWY13CIX7OXhPd0ffoYpN+x65e2SC8EFFy4ecyiFoa27hR5o+pNkv8p/ 8PvmT3DVmXx8/gXEI6iBnUwe4OtNl3oxf1MB/U27MnmC3196NIydj4Dn4xt2 HornpxOLv+b9aWhI7BcgsVdA73NGVppLH5Jl+U3lPxsZivo6XdhAVVVnQKd/ Hei/d4e+cP+ZbQ/n1M9w+nuP0glB+rRLhlHUMZtCMmfLo9ofV/Rp16E2Wm0u fSCW6/wthzop6NVXKX1bhueQuoM9Ghw6IBPWePrv8qz8DENOPGl23k8mnFsQ Zf447RO80Oi2LjZOxvn9gPYLQWK/ENB+IdFfQKK/wFeGbyPg+SbBrxGaL6rH p0R9RszHUmLttj71VCVI8GqEJWx9CXx9QTTD4xHxylE+Mb7g5xZf+BViGX4P npcgOT8hi+EBCXhe2TG8IBHPXOI/DnUMf0j8P7cxfCKMv9RwYfhFYlnSP5H0 T9oy/ZvT84nke4jke4jke8iZuHWn41ph+0oimW/iUGzpe3L2VzDzVpEF/b+R AcWHBhenIh5RObFjdIL03oxOkC75f4jk/yGS+4tI8LEYnvtqlG9riCfDF8L5 oxJ8LFG+ifNYpDgeq0F1mD1IbD+W7V/g+5eg/Mrj98lqtp8B60v2O5HE+xPJ /hfzF5oMzF87eKaGqE+g/onyidZKpr8+Yvor/35NKsHnomEM34jzryXeJ6jf 9WR4SCL9MMNPAizrnjRpviKzAuba3Sxe7tOQrmR4SyId5edX22d6m53WolMZ XhNFOvpvh19y80/erCXKl+j/v5X5//PxtakFwzvi5caivznqh3kMn4ki/Rrz t+f15fQu89cXyz3KEu/m96sBZas3BsZr5DSwODO/LgnxFOT0MdPnAPU5e4ZX xOkK2pm1J9jen7UX/W2UDG+BYn38PvSnD2b+9JwfPbqA4Q3x+gb0EbvPBbzP Yxh+Dq+vFPUnlE8PMjweES8e9yfKwx8jNLJ8RlaAnem0ELdAQ/H/ycuyePYk 2ZBaMnwfiu1xvaN8iPoc+rvfYP7ujB+1PBLB8HE4f03pqcUjO4N7GdguMEne c0JJW8qrPrzU4vtbXf965LEHJ1aUkS195AGGaroBoxOkS/Yn2DL5TkD5LsA8 0+Lhb1wfAgz+e8/F7bUywcqwNn+TaQRMYPgQAuIVxjB7vID2eIl8SCT4NWQ7 0wc5vQlNq2rgVT77MpiPWLnwSsmf+LbjPkOr1kTUwGS9F0Z6Ez+J93Uwk2f5 fP4CSX0iqS++B6A/1lPmjwXojxXy2q/0tR/Gb6jEfDQ5jZ2/h19V0vvMXg5o L0f/oB/em073G6ei4wvXuK87U0TGt40cbdFHRT/tmJ3WdWABjJ286nPZBbmY P6fT5iXuF0BOMxmdIB3zRyFdrucSZSriC4RA+sSGwV3V5cCycwv2OYQAp/Pv DyEvGZ1yOnHxHdlj5ksx/ze46MSPWq8uf/Yt+3Tjapy0PUjag2R8Ihmf2Dm4 BJy9pS84ClpPrb3yodZ25tHGQfpClZ+1vt+EQkggsXtHrcLzLx6E7PbnUtVl z55RWQeXx8K2SuWbcSI+TQhJkvXyGaou9x3y1vJuRiiJY+2RfxLF2lPenti9 MPs02A37T4Mx53bUuLsqBG2faV0Sa9LA3jU0oWGIXBjguWyEXlEBkHezq60S UT7JhOy5Fxxtk+RC6fCta2Id3oJD5JyO6SlyYWOPW2VvIv7k4/5X4+3mnk91 6O6Qj9nlTzOIbdxsn/HhOnRL2vNue6tfE2G47fuwyzp0yojbbkcyXpBFZvGB E8p0qFXTiqb33V8Sy6Sx9o8ydOgL0ycF8uvPyDgN373bDXVpTv19+pw0CltE T8l0ab5GnspkdynMyglt6fuxSsy/iPIQxn+24/vhs6J+feN9B+kH5g0xO1lK vtaeclz5rQrOTjUqbD6jlAS+zq0ZYVINkv6JpD8i6Y9I+iOS/siF/unHXY9+ gvtvXfsU0cbifkH/3DDmHyme9xI8f8jWGp+j1RPXVyW4+V8/fXIclr+Dfu/8 DVZX0J5TJOYbbJG1P6dNyAcxH+iVYHc3eiIe3AySJo5xRHtfMqxyLzoyOhjf m5Nh45H+/9im4PmbIW1PJO2JpD3p2d/syrDbyF++NN6USPgllwJbP9mwCdvn Ewn/pO54N52Z87F9OZF8PzF/0Kb/g0EoL2lSjYKIoInHEV+tAU30S3szKgrr a1PTVgH3b23Fsozu23hALVEgPzLRfnM+JXt4wiIZvd26Ut7JC/nTFu0xxxol 6LSZqE3jPceU3NmL/f2Jt76X9eXykkZ6dHJsMwvnTLSH/8lfdcDhednyBAN6 /T9/3G/I7598VcbPO96tu/YnX+bTaM2qZaEqeqfeP/kV41dQURv2Hkz+x3sw kdDF/Mp9z9YDsdDhu6KuaTrlkAUTawPclmjQZTpxXwor3pEujy2cCjZriPGu OP4rNj7g+JhfLOjU+IwxWSrqbfS757zD8Yyeo6KXt9bnyyCYLyPtR/39RfD+ Qn/l1eoaLTI16SSnBv6maT6Q9cD0jneeJn2RNVt7eNcrsCtd+VnxTpN23m4a MDU2Ek51XOjskqxJfc38sgb1vgsJV8smX0/XpOvt/j1UXZ0CRrf/spr6Q0fk L23j5YxdzXTp7EPpvX/a6ApFW9ccuZP4E3pv+btlZCt9QX1KN6uY+AP2dl/c c1wnfaHvMwvfh5GVYJB0blF1RWPhZFHmWvfrPyDX/Fr7qqbq87LAJ966dSVI 8hmBRB4HyfsUSORzkLxXgeS9CiT6CUje3wDXK+pzTiz/E0V6KcsfJeLNSvAb pP7GRFKfSN5viWQ8IhmPPGD5l3h9DSrJvyWub9Qfet2zVyqqtahiThOfkuka 1HVI+pqUbC0audP4TuNIDdE+iPpOFcvPxPvXEvcbyu8NmT5AUB/A8wvlf8T3 HHJPqZlwpwH1e+Q9Yv4exP9sSG9ljNzRdnk5JNaOL9loKKMl9f7+aI9vRK8w OkF6HqMTpJux/EucP4UYv7ndX69/wUgd6svyL3G6AdUeVJ+fSYyHnewWdTh8 bzm5Y6PKvdFGX8SHxPeHTez9QZQH0T8A3ze82PsGRTrGd+J7TCF7jxHp75k8 TlAe38DyPYl4mjh/KJ/j/L3Iit6vPcaQdhtosXNzOce39TAU43XRPv+R2ecp 0nu8qZcfRXxL1JdRftzD7Msift95Zr+ls7j99h2z39Jwbr9Nu5Z0yKZaJqzb HFpybEYSZB07GHFRLY/rj9eyMXgXDScZPgH/3gxiUjwt3esMynMlZAazF9Gn zF5E2owI8itKLSMb26TtXXLvO8HzabZh1oaplro0JHqptcWQSAivy3X9x1yt j115adbuxz24/soiNbq/el6bOgZpQwAMj0k+1GawLn1dfjDwedY5CNnUP+jH v7o06XBkIys/PeryyEtP++VvwPe/+R+2bOh+9Re0lA3Z0CIE5fXf4MT0A74+ KsGY8QecP5DYJ0CSfw0k9gqQfJ+0fyKRp4hkPJFeV95L/WtC250xPPrI8yOc 72xWN0+9PgPnjH5v8bsUDr28EzTvQBMayuzLgPblfl8ipk7fricEXp7TvHCR SnyfPalV2Me0t4qmex7/2CGI3+dURS1YfRrM6+N8XeT1s1h9ivXj2fwKTnx+ sf9vBWx+Ddn8Cji/GH+O+slnlo8IdHk+IiemrwDqK6ifZDn/th6zWEU1mD2a oD0a9ROkL2D5kOh+ng8J/ZHE+86x/r4j4n2XWX/fEbzvLm6rv+8I3neG7L4j eN95224J3KHWNwJ6PN6+ZNokmFEdfKS3umzpPT/y7Ngb4MXolNOJI6NTTkc5 LqJdQI2Vw3tNKqkPkvogGY9IxiOzDTonxvREfeMT2JgPqvH7Iw/CoZbfdvf5 IuPlDCjwCluWlycTYswMPiY9fQeHx55ZeemzTGigY226b2cG1GXO3PH6h0z4 ouN/sTw2GYJaDis0KZMJLnbdrhW5voKWJQ/PzFupEKwTw896TEgCWbslx764 K4RAB+O7BSefgHHYsWSnoWL8Mpmpq3GBnNenvTPqhgQ8KiKhLrNPTg/Qp8t/ TTp9r18xMUtVRRvZY/080pPhafByPjnA+BfPk1zGP+X8Ex/GP+X8k5+Mf8r5 JxcZ/5TzT5ox/innn2gx/innn3zY1Cyt5QqFcG//IvOJucnQz7SfNV2mEFyM lraJMUyFCBbvAxjvU1Z+OnjWXbk435jPfJXNr9cO9vmwNGqSiZmA9DxoatbK LQbkwvC/MrZ3bZ8Hc13cj61Tt7+0vWjplJr38Kty5NhfcXLhL9KkqtXud2L+ c7w/L7H7k58ff/K54n13j/kfcLquiO+J90dfdn8A3g+bEl8YDHshE/o8z71f 8u497GT6L+c3BEI7Dqp8pC4vuDDb67LdTlANNLm8U11WfToc7z4jGBrY1ucb I1k83xjX73n7eLBk+bcEzL/F9X1B1PfPXP/SNlVf2HzUu/V5r+fwdUR/8/Fq eoZZc/N7k+NB4k8Jkv6JpD2RtJfaG4gkHxiR2B9IY9Yfxf7KWH8U+1t91HTw 5yN69MaAf1T+FrWQdLvzNxcvPdq9dmtQ7a1ayGfxdoDxdmJ+CPcks31z5HRL VN3jp8ZcX/CQ02XsfQXwfWXwhmMrEh30hI8jOuaZHlfRvsmXsjsN4OenWv6X 8AcS/gDz6+Y02qz+adDggk25TfrlwsC9duvmDtOg9fFmr3A9poGTTUx+7zdy wbevzZApP5LhDLOv8fkSSD7Lv0h5/kViyextlNvbSDKTByiXB8hrJg9QLg+Q G2z9UL5+iAFbP5SvH7J/VPLCcUvE+H9IaTtun5eob+nQsnp55R3p315Iujtd hz7M2O1a5plLDhu8WODQXYc2yGppUqWTS+yX7Rs931KH9mLnibjfRrw8/e2E k0I40Myhe0FYDsRtWLb2uaNCsLy5p3P68FyI9J7wyAJkwkGX5r3GnimEjIOT 3s+KlQkGtVPzr475AGEXDac1TVHLN4Ning4wzof4FYMLuz6RCfd87U2bCAVw 4eCCjS1u4vlaAu/WZY71vK+Wjyb/qv5nZRGEye0P7g2TCeUdBmoUrCkG89B9 d9oFyYQbX9w8P074CCNDtg1dcU0mNGlh3qLsbAlU/N0h1KulXDAzur/me0kF 1OeH/YX2ULU8ceJgo3s6CuGrF018qPwKesZbK2IVCqFYw+nF+eIyyMptm50b ifpPDbHNLt3jEa1F93QMWWtjqkntkjxOpc1UCMPtG2uVFhuK8iDKF2+vhFfo ZOB9rdaXOD7okU775ZUPVTT1xssV9o6pcObGqHLFcxXtEL7vxIZmfH8JShFf Btf7AbbeAde7vYnX1MVxuH8zoc/JnzoJz3F/phFO5+VM8mhZA6u80SXk2u6z Hl+hMc387/0qBPUfgTStbb1Q27cIuhDvGSvgF2ixMvkfZeJm/ewrqU4j66et qB06TpPejbKzfL1KV4jep+wySL8GKhasNzM6jON/In0Zf+J+yQ5c6XozSldY fmLi2aXnlbST/EfDfZgfmCppVfX1HqmdcP19hoIBFUoage3z4D3bf+L3zmT7 j4az/UdGmcj7esbKhTVyoxtxf+dA8sb771Py8uCSc9H3JB8DKrAywfLIubZP 71RpC6MP9nGM8v5Bhv2HZ9//t2hv/2B25JHzXLS3fIJZOyxSAijakzIg4cm/ H8/443xmwIcRkS0q/FAfFcja399kuS51YrmXurtORdhfPtldj3+A940mbRIz vdseXayvrZYfb2UPX/iVaIa4dvAT9QCFUAKj9OX2Smo1urzudhbORzwZHP/3 q5S3cjpHoTlwZ02i9D0RFjjGOjvOx3I5+MzqKt9Zjv4tmlR/aWXyfDcsN6TB zN7F6+dD9Ou9OZf/0hCGw6C8IC/1ffj//1/yf3AckeI= "], {{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}}, {{}, TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0ktLVWEUxvHXRol6NKc2UdSUoNTKPkCDQMvAHCQejdSBpR6TDCp1oniD wEEOpJRK7TZQS0G0b5B57YaD0oTGGkEjwfrtwZ/nXc961nr33uzs+rbKRFII 4T0upISwcSyE2tQQfqeHUEebsZwZwi06o39bvx1TmEQM6UhKk8sI4Qg9Ix9o ES1BMb6p9+WyZI6j1v7r0R34w8/m5aBVPac+dFfCedi9J/nbdiQ7L+jd53fi Af6qi/SLMaAewiDOq0fdWW3PCZl8jJvPs+eAtqhbUYgCvMYbdOAO3kXvKvdR vp3WY5N/g36ivXavolHui/orPqNR/y5WzHXQef1yuRgqeFdQjsu4hCr8MLeN 7/iJHayZazA/RzvNbtCSmO/m3I0urEfvxitAlfqxXVfpE9qgt+Icp+v6a1hF jp1tSOCt3kt3vcIL/FKfM5tq7ixNo6V0TDZXPw/XZLb4lfQhluxcRL9v3ocK 3hBmeTM4avYePyv6Z9STmEALrxllsv0Y4T1CnFeDi7xeDJjfMztIT3uWf/QU PaTP+LsyT+kEnmMaTXofZG7SeDQf7aT7tMez/wcwyGi6 "]]}, "4950"], Annotation[#, 4950, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0UtIlGEUxvHXbkZW3opyQsoC7WIXzUbbNe66LWoTGEG0ihYZbXRhDVmL rM1kQo5TWS201CAwlWhR5qJlRSvRHEeoFrUwSI0i6jeLP897nuec874fX9mZ xuPnc0II46jPC+H6qhDaEF8ZwrfCEC7TOD+Gg/khHELr6hCuopVXrKcIDfx5 dYJ/C+1Yxz/H/8vvVj/AQ0T4Tfxcu/vVA3iKUv41fjF/SD2MEWzkb8IdWSde 8V4jYe8JjHvvXnk1qlCnnsIn/Fb/wbGCEDJFIeywe1RdSZvUzTigjqEeGTMz eC5fKhuky2g+r1/+2X199AsdoO2yNxhDi/oSRmVl2TfScu+twBx+Yj1K0GRv Rm8znaEXzH/QX+OeCuetKMd2bMNFfVdkE3p22T1Jq+w5ybtn/j6meSWyNE2p 76ITPeaTtAu75XvQYK6X/wSPs99gZjN/jMaz/x0d/NvY4J4I3jp/lUedZ/X+ QEq9nD/kfbl0mPba3YNF6j51Dl2CxUibmcJO/gt7at1zyo52nDXziF/D24co unkx/65LbwpJ7FfXYUGe1H+Dt5a+VK+h0+6plnc4t8jy6IhsBU3LKmUJ50ZZ oIOyf+6flG2R3eSdlv3iPZMt0AlZqaxNNss7Ij+KwyjkF+A7/6P3zjtH6Ryt pe/xDhHf/R9DF3oH "]]}, "4884"], Annotation[#, 4884, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0l1ozXEcx/HfXCizsye1UkPyFEXKxR6YMyvLBeec7UJ7iqw87MKGoqhp UpTtbC12o5lTbgwlGZZM4qyEG8xDpLSVNgu5o1a8/hfvPr/v5/P9/h7O+S9v 7ahvzwkhfEP1whDOxUI4j868EHILQ5gpCmEap2VxbC8IoRZd+SGcieDVooHX iDSvF7PFIfTRErNt/Dk9g+orGMJi/gn+fOdcVw/jBkr5Z/nF/LvqEXSbrcNF /iWM8R6jj7cbQ+7bTDea3cLPmP3M+4SkN6Qwam5t5MvX0UbeMG2gcXMv5OXq n/JfuGy/Q5iyx2G6S89OVKpPetsTvadolTrBT2LW+im/154TtIe+pWlaKCvT X4FyTNuzyTnNaMF+fdV6PsjitJIW0ePR74QR/Qv03Yvuwh+QJ+hK3gpk+avo aqT4/5yZpMHsfVku/wFd4p2l0e8rm9CzjX60Vw094A7lshl9ZfQ7neONyTPW 7faasn7Hi9H3tN8eO+io+Sw9qh6nx2gHL1ffM3XKbB3a7XObf1D+0hmvMM7P okLfpP5m2U3rJnqLttBJ9/+KDeqH0X+lf2/0TaDNftf4VfKt2MPL8GrMXdWb wSA2qyvxx2xP9K2iO/qe1CXmH9FN8gHrTn4sehcvjz53r/Wyfusjsnl0RJZD v8jWyNLWrbK/zr8j22e9jL8Uv6P3q+uRwCJeMX7wL7hrvnUBYuiyzxve6+g/ wn+HKn0N "]]}, "4818"], Annotation[#, 4818, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV1FtMj3Ecx/FfKDY5jphD/A2rG9xghLkItULiijCnlcOECJWNTcTkkGJs jhdyltONnC+cRoxNjiNszLhiYWPzei7efX6/z/f4PM9/xeYW5i6NCyGk+rMh MYTRHUL43jaEkvYhlGG9czom83OwkVeOjbwMVLYLYTu2qe3fMYSBGIAdvB+d QkhxTsVytUVYgUHuhzqHcBgHcRRHMETNIroY+ViIAjTy92CqecPNHob95i3g VfKm4YC+B3FL7DZ28abjFO80nvCe4hnS7PUX/zAS9WaMoIP1bBIfQuvVnKEz 7XonynO+Sx/xH6MBBWJ1dig0J0fdZNyRV8Rfxl+OXDVT+Hf5K/mZdDetRhU6 mN0+en49VuCDvh8RjwR0E+uOLkhCV9zTt1TuAr3noxevJzaghVlXxUr5JUiS m8mP0Qzal34wtwkN4o/Rz5wYrqlL4BfbMZ62QWs84LekrdACr9W8QoNetWKF zp3UpyIF93lBXhxeir1AkZ5ro3ctdtMezfJu0F+0kf8c+XLeq0nW9x3tQyfI 6U3T6XiMQ5xnvKLPajVrMBfzoufl/ZZbTPPcZ6BMfily9X4YfT/sjH6fSOR/ k7/JeTPKsQUVuCX/Dx0l/pum0U+4wF/mfp1m2yNLvyXmnRXLp/vwnf8Nw+Xc 93xj5Lx1f4NXSOFP1GMSsnHE/WT0DegD8RPOV+x2nI6N3qFzjXM/ffbQKgzj D0Uzr9rsGuxVP1R9Mi/HHrt5E2kFavnHsErtSmTxNmOh3ALEot8Gfuoxi87G DMxEHjLllkf/C/RcF30Heo7WobX6s/QMtqq/QC/iPC7jEubIT5AXjx72nmCH L/wMmo5E3mf3tvSrnDTeKKyO3qW5I53b8f8D9jifpQ== "]]}, "4752"], Annotation[#, 4752, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0D8s3WEUxvEj0cXV1jU1LMTUDiTUYChC2EgYiI4SRkJL2qRp0tumQyUS f3oZmBArQ6/BYFYWS4uE0cXt5E9Emzb9/IZvnvc8zznv+f3e6sHR3pGiiMjg XWlE0+OIQipi8lHEG7xFaTriDHmkkCuPKKFX+t7Lr2m7uc/mr8siblCvbsCJ 7N/DiFM6b2bc7Bgm8Bqv8FzfD9pIJxPV/1VvFgt4Ykcfb0nWT5fpM3phzznq zD1V552nfcOMczENcw/orHqOftBXRjf5aZpRLyb9tIJu8ytps3ta8AI19q/L q/i78j3so5Zfh2+yHA55R8j6z0Gs2Nkp70Abf8P8Gm8VQ+4dxk9zLfx7eSu9 4zXJu9TdyDvv8D/xD5Lvpx+RwaUs5R2+OE9hz57v6NH3R/1L1qznt/MA/yVu 1Mf82+Tt9OWS96Nb9J73FwX1f+RPT1g= "]], LineBox[CompressedData[" 1:eJwVz80r5XEUx/GjWVzl6RKuBQsPf4AxszbJvZLltbdApLgWExtbaWY3Gw8L KUqh2AmlKCnsFLGkXEXjqaZmMtG8ZvHu/T2f7znn+/vV945mcwURMYaR0ogc Vooi6ioifhZHbCcjHvikJOIYq+or9Qpf8xoXlkUkkMcNvppfQtKOckzrudA7 w128Y88Rj6mPeZzfvPsXbepLOzrLI4bsmMew/i152n0GHf+/UdZjbk/vvTf2 eRfdsjt1lt/tWDa3IW/iU3ONvK5e4HY9GaRx6O4AtfJF9/VmB70xgCp5Sj7r /Nl5X/8fdYN3fvMZv8jOuUXPLT+r8/zEzfZ9lD86fzLf79yHhPMH85ve+qGu 4TnZLKbx6t/7zFbKv6u/YQq/5Cm7alCNSTu+6HuST7h/5FZ10tw/TwVG3g== "]]}, "4686"], Annotation[#, 4686, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0M9L03Ecx/F3RzW1Rcc8dDAPdelgeGkoYR0SjDQ0CLUhBQ22c8L27WAg UgZ2i6TTKqxDWeQPhPCkl2AtWn9AMGqncLQihHrs8OT1fr/e7/frs+9OZPJX cociYgHpjoj5zoh7mDsc8S0VcYd+PBpxU30LBTvnMNgdMYRCV0SCdTsb2MSw ecpuRd0r6xo9SWtHIvbl/VM36Bl319Wr5q/wEhn9cX4PptQJqvJKZl/pI7nL yOtzKJrP0Bu4z3+Az/aOub9gVuTfRYID739CG79M22mF/vJbPtAmLbm7LSOL ETlF35jgNX8Ni7xRLPEeYou3jSXeVTyWedrtKQzwn8pc4T3BJW+8dfMOX8z6 zNbVL+ge7ad1/lk6a/cNPa+/KKtqntb/0f/FireyeC933HwME/yynR+87/jZ +j79Dh2lDXqZPpP9HCVMuJvEbut/pNOtb5dTs/eb18QB6vr/cJxVFQ== "]], LineBox[CompressedData[" 1:eJwV0Lsv32EUx/EjaUNSpaQkNhJTQ/sHVKIlaXRF6IIfoS6pS1UwdWgHg8Yl EbtbE4PLqBIWBiLoQKI6CkNdEnRqkL4M77yf83nOc84337yGzvKOpIj4jP3H EYP4hq+pEU+fRHzhLN7EBnJQkR5RiYG0iGquQq68kZswLm/hZjyTD2RGlJl5 6/yW7/gh73IKb3My73A+T+mfxlBGxDD2HkVkm7nPo+oRtLv/gCtvru1J+M5L ruMrfmfOA31Nep47v+cXfK6/wfmMC9V/uIBPuQiT3k5h3b7vPIM38gk9r2Wv UIxpe9pkY74pgRV9qzhyd4wTlNr/U/by/pvUf9Fm1g91Ky/xL/clfOPut/Mh +twtm10nq0UNDvT03P8bu+rVCaypK+T/uBcL3i1iDkfyed6Sf9TbhU5cyPtl s+Z8UnfjP++TTX4= "]]}, "4620"], Annotation[#, 4620, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0b1L1XEUx/Ejaot5NSXMEKXForKWFqEGFZR7QUhBurbZ4BBSew5dK8OH RRxEEdTARbxqS0OCD5QPkwQptqSTD1hECf0Bvu7w5v09n3O+5/u73BvPXra/ yIuIUawVRRQnIhK4XhzRUBbRhEbM622WRmR5Vb3hfLUk4it/Qe/liKMrEcdY xD9zS3zOjeb69fPUHfbeVt/BXZR7a1g+hKf23tTf5Tq9e7il3lB/t6fQbL76 m7qAe+zsd36PN3iHt7hkbtt8n50ZtMke45U7TziNAfkgdsyVmU/pDciHMIgq 9aHf9cf5gCt8S1Hu25xHvfvf3fvOnzmhXuYSzpgb4wd6q7JrzmtcySN6kzxh TzX/5BpOmk2h3nfUmf1obp1r9fZk+/iBh7JH2NTfwpnsN8b9hm7M2fecU2aS 8mX3F2RZnGBF/Ymb+S+38GvvZpA234l1eav8g+yQp3gG07n/WW+Wz7z9Cwmk cztlp9zjfpe3LwCBU1MF "]], LineBox[CompressedData[" 1:eJwV0MtLlGEYxuGnAgkqT2hS4iHMhY4urD/DVuOM4ErJaCOpCNJW1BI8twgc gxZRtCgSlyoFQo2iEiQKai7C2hmoSIuMwGsWP+73vt/n8L3frfs9ye4LEfEc R1cjFgojjukiLSmIKMZvHOLxlYg3uFEccRPv1ByofU9T9PO1iD06w88ig37Z CZrlSzSVH5HGS3P6+DV5km9Br2xe1qVvy75tnMo36Te0yz/k9jjfob/cNdFl /i1NuW9FGl3m/ECt/BWtL4pYVb+CLCrkr/Utq73tLWf8V/qX1tAH6ERC70W9 l9Du3KA3gUbs+d4BWUduPl+Hn7K7fFbvrnOZbId+4dvkj8yfdJ7CGCYwjsvq VtUN2TOIFlkSB7I0bcVT+Qg2ZEXq1+kTfhgZ9zMot2Pfm77juvfl8RvO63ih ZxYZ/NP70H2p3nF+DKP4k9sn/6S+0rwqfHReQRZ96ufUNMgbc/8H/71pmj7D PfuqzalCOc4BQ2JXjw== "]]}, "4554"], Annotation[#, 4554, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[{2876, 4360, 4361, 4088, 4090, 4089, 3013, 3599, 3600, 3399, 2989}], LineBox[{2937, 4446, 3856, 3855, 3853, 3159, 4258, 4259, 3689, 3295, 4065, 3150, 3842, 4064, 4063, 4222, 3511, 4217, 4218, 4216, 3277, 3508, 3507, 3659, 3658, 3438, 3437, 3557, 3133, 4194, 4195, 4192, 3247, 4039, 3124, 4547, 3123, 4546, 4183, 4608, 4607, 4017, 4018, 4015, 4168, 4167, 4601, 3483, 3643, 3642}], LineBox[{3238, 3551, 2965, 2913, 4034, 4035, 3815, 3816, 2967, 2917, 4420, 4051, 3132, 3829, 3830, 3831, 4425, 3656, 4205, 4204, 3139, 3565, 3140, 3506, 3276, 3566, 3516, 3517, 3289, 4247, 4627, 4626, 2980, 2932, 4070, 4071, 3849, 3851, 3852, 4445, 3685, 4274, 4273, 3161, 3859, 3162, 4077, 4284, 4283}], LineBox[{3362, 4325, 3363, 3588, 3587, 3014, 4094, 4095, 4091, 4093, 4092, 4105}]}, "4488"], Annotation[#, 4488, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[{2940, 2986, 3449, 3313, 3684, 3700, 3701, 3351, 4313, 4275, 4276, 4072, 3158, 3850, 3157, 4251, 3291, 3683, 4437, 3840, 3839, 3838, 4062, 4061, 2929, 2975, 3443, 3275, 3655, 3670}], LineBox[{3259, 4193, 3260, 3499, 3498, 4617, 4206, 4207, 4553, 4552, 3141, 4060, 3278, 4219, 3279, 4221, 3148, 3841, 3843, 3844, 4312, 4796, 2933, 4438, 4817, 3348, 4836, 4311, 4816, 4310, 3690, 3301, 3526, 3525, 3579}]}, "4422"], Annotation[#, 4422, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[{2936, 3686, 3682, 3300, 3447, 2982, 3688, 3687, 4314, 3352, 3875, 4323, 4801, 3006, 4324, 4682, 4671, 4672, 4670, 3353, 3596, 3595, 3877, 3876}], LineBox[{3395, 3614, 3409, 4759, 3410, 4758, 3349, 4667, 4669, 4668, 3001, 3872, 3000, 3871, 3870, 3347, 4309, 3292, 3570, 3518, 3519, 3293, 4220, 4253, 4252}]}, "4356"], Annotation[#, 4356, "Tooltip"]& ], {}, {}}}], {GrayLevel[0], Thickness[Large], LineBox[{{1, 4}, {0, 0}}]}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwkl3c01+/7x+2Q7L33SEZGMl739ZbsPbKzCdmhhMoqIlvI+IjMRNnK652y KWSUhiJCJbNS5q/f+b7+uc/jPJ/nOud1n/u+n9cl5BZo4UlGQkJylIqE5P/X /31r8L+VkcAV97LsZOoqFE5zZH15y0DoyEz6RMm/Cpv3u+L+NDIQooltgbqn ViBu0rqq3JuB0E/nxzVSuAzFOwnSHBP0hL8sqM435yvQ3fgoJNV4hKCxGBJ7 Qe0rnFWhmRpKO0IYvqgz/HRmCV5JWNbk+R0hxIdeYGA6vgTi35Pe14sfIYj+ mqbhmVmAuAnp/eFCOkKa+Dtr+dB5yB5K/688/TCBe68sL1x6HrTWhtjGAw8T nCzFPJ/OzQFv5p8SCdPDBFEIiDOwmYPGMxKYNv1hwvqRY9vz+p/hW0JbjHEq LYEstuubjv0MKAY6lvnm0BDOsD4/0S32DmyTRMzKiYcISx6aF2ievQUL+joq kpJDhOdlXS5jZ9/Cy7dZ+rExhwiiX4oCpwqmIKnhRvXu6UME59TC5zxSb+Dq SUH7rpdUhIX9Zykv4yagMKmbxX+BkrC1NnOtR2kCyL7mgtQgJWGCaYD4Y2Ec zpQVfaGpoySk6Td44ybjcHhLYEElnJLg4Dtz6KP0GLztyCnTpKYk/Hy88i6c cxQEQvVo5xUoCIc8/7J/axoBCypxyzFOCoJb+lPPbrUReGX6QPPzPjlh8l4E 12/DYWg1lnDzGiInEIv9uBPjXoDqsNSfbU9yAssPr8VazQFYLBKslL9LRug+ iJl8M9oFGVv0hxpkSQnMtgzXbiR1gcE4n9YuFymBT4x2XEWrC85X+4U5U5IS TqxP2Se3P4eDzyWngj6QEARLy0KKHj0DdYWLmm3JJITHR+5VC+Q/hb2Bi+Xp 0wdwzKbwr5fEU3jG+FpPsvUAxg70R3RbibBdQnlyJf0ARH61Wj99j4O+eC0P hfYBHLy9t7BwogM+cn2bN6/fh7I/aR8DjrdDtZzBsnbKHhw/ftap+3Ub3Ni0 qK3y3oOvIYRx5+g2iP4hZXtCew/GMGoz6+FWUJ8wuPdqfxcI3uVqg1dagI0l MpEsdBeeCjt08LA3QaRaT7iQ1w50RqeiQfKHEPR5Z+3g3F9I4dvIu3W7Htp8 rtFv6/8Fq4xDS6wS9XBf6/09jmN/gZiOpbcb1YHwNntex9ofiLjXFDtUXQt0 TX/4qiP/AOfo66o7FdUQH9f6cSl3C0odlq+zGVVDwVsXr0NRW+D8uZd5dKMK 7jFrzeq4bEG5qvLPDa0qWChiZpeU2oL+S58EL/6sAKJ0jGZgx29I9sudf3Pz HnieDlBfXfoFdy/Rttifugdyf+cZD4/8gsOFpPnT22XwpOLTVe3mX2DAcYx5 MqAMhCr889hif0F/6VCyuFspnFFVf8zP9wtyhFgLky6UQPDqPckW259w/bmC 0B27O+B8IPj28JcNsD0Z92bwZz6QH2ylTbzYgH2tk4LRGfnQIN5l2tG0ATfN ZN3NRvJAqTPJeCl+A3yrp29wOObC27fCfx+Ib8Ds9rHQC83ZUNqwST8cuA6V yz20al7ZUPvcWCTMbh16qB0Y5TmzwV2t6sNJrXVImaady72aBQyLkTVsHOtQ TfE24rVDJjyrFr4v2LkGaXID09E66XDSzEfjLMca6H/lalKjTodvnApdONka DCvcChrMSYOaHhv/4A+rUPTk0uC38lQYCV5q3765Cl8rA6JM36dA1uINwahv K1AVMZ9FmpMEMe2Cz0kaf8B3zE9pnTseBs+ab1p5fwdnJYp2/vE4EPs7bJWs +x2ebkkJG6fEwTF7mvUl8e+QJhWYXEwaB28XmAS4Fr5BPzszz6OtGPCJJlHR 8/oGBk3qrgX01yAuyXSnzf8raB+MU12tuQq5M1n+xqZf4bkw6zNX1atQrdWl TXX8K6B7jgmfHK4AA41BxPzPJVD5b3qEuzEKttP6xE2uLAHnkZcJs+URcE3y re2j3EW4Opb3RcsgAg78TLkuRS7CrbLRnR+rl2DWJ7fYxXkRzodre1PBJTjL oGN1W2IRHkUe3+r+Hg4FA9xbae0LwMTyyvBdZChE7hss5M99AXdqbJHcMQh2 SK6bHJjMg9XjxY523iBwZ3zuUas0D0T3axr9HYFgerM9L5J7HoxTuoaODAQA d/HN8qsLcyDU/yLecMsPvM++Kea6Ngc9l462Dt3zAZLuX+OB7Z8hKKpLIlvT B/a/Hc8+evczhPx3b/79J28ovV/ZT5H0GRJU71aNC3qD/2OKVXa7zxB/6bjA y0Yv2DFfeP1gexYGKhRolbg84Npai1Gc1ixE3FT2CRpyh5iltHZhmVn4XXBh +e0VdzCQyJD8xD4L+pfy6oW/ukGxNPulum8zoOela8sw5AoK8gGDpVkz4NQu 5i8T4wwUJqpk8ZOf4NnccKnQI1tYT6ueGrSbBrmAuNQzlrYweL6zLkhpGloH 3/qu/LaBbm92Rh2GaXC32/x48pQN2FlyX73S8wFmm78z5S6dAVFaooOA0gdY 9mWXNgmyBOz75+8/uN7DIrr7KVzcEqbEDxUFbb0DuseecW3TFsBrYaQkMPkO 1AODuMJMLeCRg5jCQfo7WLp+EGMP5sCXq6/eTfsOqClK2GULTKD8nXaoItVb QNNJAt/FTWAu+b9J+4Up6O9ucnFrMgZS/oinNb1TUEDB/tp9wgiYjyXbd92Y AkcLlPVTwhC4Od79eXV4Ctijj1prcOrBtcybCao8b2Ba5fOP1a1TgEW8S585 Mwm2XxkCHzWdgvf1dv3JGpPQvdgf7RpyClz8s1nOiEwCBeMNsatrmnC0XtFS c30Cntz86my+RYDww1PxUakTMLiaLphhh+Dni41u5+Fx8F2Utvn7A4P6Qy+G 37eMA1mWacinOAzUPn/uvvDfOGwyNfymb9IAgkzlyu+gcdi5m6vlKqYO9lNl yTps4/D8h31Cs+5JSLdqIVt1G4PxJNvNu+sq0OlqdYvbeAzkj6xRdRaqQIWF IIWLyhicvcXjcfX3CdAdUVY9STcG6Iy3b1qrMogXc9lwt76CDQax+Tw/Rbh8 WNYkmekV3DyADnVWOVgPc/Z58HAErGKyRV8VykKoF0x+vjECAibDSQoSsqBd mNJr5DwCjQLzdzFNGdB73n4Upx8BEipVn8YkaSBzO59JHTQMlIYRYo5ekqDY Rl7BoPESeMMqKAuoJeH2auqJAPaXsOctdnCqVgIMmwrU9tZeQPwaZ1Pbljgw zErdu1/xAhJMp5zvFYvBeGWVjBbrCxjb7Qv5KSECvOTmVhJ/BoHu4sgRu4/C IK5gZxM0OQgDdq58b3OE4YC5hG6hYRAY0+MmuKmFwe9dV5V1wCCsnXJUl/sr CObMdu46iwPA3/qayMHK/+/9OEKQne0H5k9vR04XcUBu9ypz9WYv3GgK/hGn xwEf+clNWKZ6IfGQdfvmT3aQFRFoKO7ohYmnUsNW5uwgebjEhvN6L6jXUhyu 5mCDD9eO9GVy98KxEP1SsjfMEMkYNxij3wOeOgVqHlnMQExzVliW64EXgybF bWbMsHv9pn0Yew8YlknMHRtmgiGafPu5uW4QHm4X+jrOCLdzlYSOXusG+e+6 b3AGesj984lKi9gF/OTvT02VHQHH7t2wxIou+KM1zxqmegS4J929v6V2wWUu LSVhHzqQ6lO2IHfpgtsUuTadb2mh9e/33ATyLkh2efr9yc4hYPjb/r7O9DlM FdwKtRUmh6u2N7ce7nSCRQr5A+pPZBCtq6Nat9gJ7EF39ssLySC7c5Cha7wT uKhK3+Rzk4FxrTaNYm0nTIdfYKQUIoXXrURmKadOOHPl5NuBmn1kFsDIXZvy FE748JXMoX00qH0z7eq5p8DI66h9eWIPzYTD6yunngKvldQHaoo95MDASE3y lwiXvCZY2EN30C91FYtD3kQIj1AIvZD1B33Y/pK7a4xDj6EW+5bGH0Tz1UEk TBqHmy39GfcXt1DFMyoXdhoconELhlzCFnqTfVZ+rLsDTvsY7xwi+Y0ywjop jqIOmNbVuDr6aBP9vSmldvzkE7AlbeG+n76KgmJzhl302qFTKuixJucqOjIV 8odBsh0kK1pCSu+uoPNy7AFLh9ohgNcktKz9B5J9WejK2t8G6b4spL/3vqNM j+J2C4M2WDiqbvlibAlpXrW6jFm3QsVqy2nu0CWUHFFm43OyFbR9T/x+xb6E ok1JbZ5wtwLLCVbLcy6LiPgj9OfopxYg+1zNlUS+gLp9+VTw8y2gHrHNmZgw h4LcG6qDbjbD07e0hkfU55DxWzuZpYBmOJFrtlW//hl18w8vxFo2w7u+K1c1 3D6jNtMjukJ8zfDM7lLOX9NZtPbi4ujuoyZgDIv4XNL0EXF6XBo89LkRKK9t jgyKTaHtXxVFevYNsKDBwzE08gZ5/tQz8jjdAHNz/i47l98gx0/rLHdkG8A0 XCv77cRrVHXtlZ8leQOcrz9+R/b2JPqw7nLw98EjoLJ9lsBtNI4CNrvI9g49 gldFQ9wuh8bRWOwtpdrNhxDfpB9T0DWGLPN/3rvw6SFkU9m5fUFjaKPW9YVB 60Mw4xkccyG8Qg2VIqQc3g/hfql8PPnUMNJL9brIU1gPh63rqQV8h5GyD8d9 r/B6uPmRhrJr7yX6Knnm/UezesgtMXyYJvUS1b7Kdj5DVQ+e2mPTNZlDiFl8 U/XMhTow3wzYcanoR2Q9xUYhZx7Ao9xgkw8NXaiBP+h8x8n7kKjgU/neqwtR b1HcTma7D+yCG1akvF3IX7hGK3GjBqK5dt7WJj1HjyTenKR5UAMk6U+fkYQ8 Q0KzuQfCojXwXNOfcuILEdmXE5jjuKvhlZvxi8wAIuoWcWBj2K6CxwsxdwT+ 4ijBrpOx520V5DUVqyay4MigUo67Lr8KbNvLd944PkGnN8gKA3iq4MPdp4zX 1dvQ3JB79GXxStg5K9W4O92KTtCUfEuhrgSNJ8zc72Ja0adHLAc93yqAay0+ teVlC+r1qHG5X18Bme5DMRfCmtELmcn3mHoFPA4jZfpK0oi8lQQcbe3K4STJ 3J+M4Qdo737SRa6HZYB0XZ2Dzz5AIbV9N3lz//XRD9Xw7R+16CPfbyu4UgZH E9fZfrPUopWK7ZA5ozK408KksR1Sg9Tyr+Te/V4KtMpyLumXKlHESauMcdlS iA8crk0XqEQsdK3zTzlKocMk68WXvgq0UuQeO0BSChyF1zQieCv+ndcgUqXx u3DdKkKibuIewncsX7lG3IVqi7L+oahSlMC6QiAdKoFVjdoTT06UokwxxV8P m0ugcC5Ft2X9LiJEXHkcWVICb4xtUjt97yLtYaN11/ASkFgusiF6l6Dii4PO /iIlYHDo8VE94SKUyd12rYfiP2hcu+Og9/s2suKf9ugqLwTGmwE9xuW30UOd KIu3cYXwX8Qfk5Azt1HMsQcBHG6FYGTVa0ndnoN862pCDwsUQnGvr/ivlGz0 fNc1/uWdAthjnSZR88hE8yYyfOn5d6CjzD7ztEgmovz8u5b58h2QcTz3+thc BpIumgl7bH8H+BrIH6R4ZiDeiNUjEbx3IGXhoNcgNB090Ngde3A3H+qOpdzI DryFbAqn01815EECF00ydugW8gR32+ycPAg6XlNqV5KCWOwvdkdcyoPrt1/z vn2djMLyxb/cR3lwmV+v9KLVTRTSXNpd9SIXuD4/O6KdegOt1J2Ynlm5DWLX SXr0p2NRZs15PnXDHLg9j3h1c2IRk7aS2Be5HPCTrJJ3MIlFZ6XPGTaw5kDA 68IzTV0xKNt9W735YzbYUkeslT2+htI0HGttQ7NBVFXS8nNNNGLhm/r5ozwL ZF3vyl9WjUaKhTSVTSlZ0EGBFXUORKEzEafaCi5kQe6mzVXN1UiUa/DMdlAz C7a+xCz6G19GMkpNJ8s/ZYJt7ysDbfOLSDUyvEZWKBPmv5CMk/wJRxbXGGqW aDJB3lrLlq4kHPm8SU7p3MgAHacrzTubYSjhkpjDQHcG7MQoqN+uCUWpwUU9 ar4Z4Jn3Pq3fKAR5NJQ+uvw4HTauT/8KL/FDF2zi7XY/pkLAVzd99pN+KJ50 PX6vPRUYpfmt4NV51KIjxC6dkwqluYwhQtTnkZetUxqtUSqsyEyTD97wQRtZ OvMTT24BH+Vr/uEhL+ROqDc9V5YC1ziuSF+97IXInC4itpgUqPV+pHThqBdK d22RXXZKgeoTnnm/bnmiFW9HN1aeFFDAH7D+dPNAMWfOyOnnJEO5taiTg6Yb 6r7lKsmXcRP2betSukndUNda8Amd4JvgkhT5RLzLFZ1SvhmRY34TOKPHpXr1 XFEHa/L3cuab4LYs1k7q7IJCad/nJt1Ogr08f/h47iyqa+N+p1SeCNIfPO7d 6bdBiQsOop8/XIfHaZl1R0NskGAZjCg8vQ4nW2r5Sfhs0Laf5m713evA2BUz 4hJujS6vBwgdPncdUuvqhggqZ5AWJng5azMBnB2ZV5q/W6Ar701DslgSgErs e3POZ2PkxxD3lTogDioUVqVi/I2RwNTLYyNWcRCbF2tj/tcIFf9u4mxRj4MJ 045fhixGaHiRDPtC849fHQwMmRmgC2y/47srY6HE+71Z4LYOUpJnv+T5NQau J0Td6MzWQb/Pff4sMhYD98iCflnJ66CUCdMkkicx0JbQaR5wXhs9fxi4ynIr BpKTJCkvbGihZ8r+P4oVYkDOmkfwtJEmOrjwgE007hoU92W1tpFooncJF79w BFyDohK9q9stBDS5tJMkbncNfG+7e9BKEVAqjD3NkrsGnu8SRtv1EJrZYR+0 fHIV2FcoBy6NYkj15e6zmcyrEDccv6rmiKEhTX/Bu77/dHSRIfCKBvp0XVD4 CfdVuLP0wa3smxqqfB7YaBx9BeoIz+Q8bqmhrTQTu0DrK+C8fvCHUlENyVFF JD6XuwIRZie5Eq6roqcEuuzdz9FA80APLzI8ia4q3X/bZhgNn0Ia8zPJTqKJ NC8tF/FoML80Wpb/RAXFq4naqZBGQ4Tyy7fhiipI7hXpnQutUcAglPA3X+UE EjTo+cYnHgU/kpWDjHaV0aAXs6wGWRSY8K1pn3qujNQiOAmJHyOBqVKuMt1c GZWO1cxW5UZCy36y//xlJbRbdC6bki7yX57YBA7MKqCSQfX4P7sRYN7V2GpZ K4dCn3T5YfsXQZB23nrcUg4JZzrGNs5eBCMGVnnZHVl02nA1x7DnIlA+PH1K UV8WvSw44JhNuQjkvXef18wcQ7TKbbJFfBdBKyqJXinhGPpeTPeen+widFaw /GGROoambM/oPlsIh68NM2dyAqRR5GZn57mH4UAQ5eAaXpFCHlo/pk9oh0P6 1pCsRooU6q0dlX98NBxGfvZoR0lKIXy8lPIsYzjc6rOXkj8riegzGG+TfAiD cINnZbebxVGP3v6fx6FhcCzab4mMQQTNGJWKvr8fCt2h/OSETGF0ioY+/3RW KJRyJgh7swqjPbYrukOXQ8HCQUHBhV0I0f33bUTOIBTOcDSPRsvyI6uF4D3z bxdAWOdgS0eeD20URD28O3YBUiofK8Yo8iL5/27mHXlyAV6sUQewE7iR1RH5 BNWUC3CR479styvsqHqfFz7KXQBae3oqyzw2xJlHpKbjugAmNb9vm7ayosQo N7IzZBfglEtLoRoVC9q+J09+cjIECjtMJxhUmJFFFffAK2IIfGdZeEgMYEJW Ydc1rleFQCvw4D+WGNDXb27VKCoETG8/m395nR6NWWS5nvIKAWvcx3VX+Qhi IO857WIWAiz3J385bx1G2u9tFPLUQuDjmT6PT0O0iOvJfZpvoiHwt4kk2LWJ BmnGCtacYQiBdqLW9ItH1MiVkX3z3d9gSPSx8KPuOYQEtJe7IuaD4Xrtysz2 ChWSJyHfPT4SDAezlSRFQlSIeZWLXKPtn17otyYRTIncCj7ddr8bDJ+ziwef faT4lx9Pb1XdDAbbuP+q089TILZTokTa0GBoCgLeeTYKRJJkt590NhiCSipe qr0hRxJKGZLiusFg4F6UnlBHjq4w73F/kg+GCbmdl7/vkKP89fnGJu5gKIjK XeksIEf0/6W/qqAIBrlOfQf2h+QoZEnXonklCGSCv0ZJ/atnWWDBOjMVBExU Jh3HGCmQRcKfX+JdQRD0yyTWwp4C7V2ImUx6EAQ/m7tUXjZRoAUl5QzqvCA4 wOO0R/gpUU2Ow6Gy2CA4Ee/FmpxLid65a7Db+QeB5FWtI4r8VOiwv0DhUdsg 8BTbyPv7iAq9umJ0kUMrCCJ/6AsyWRxCz70OXxeQDYI9Y2G62r1DKHijrOIU VxBcxC16dhupUdjq2dZrFEEQ1dDQpBxKg7qsyWQaPwVC9iHnt1IMh1HiMe2Q lluBkGNlP6O/dBiNdbqEHPL8p5POdfL006FkuEV6SyMQiFbbj4rz6JGIj81T peUAyFxe8rRQZELHPD1tV40DgD7VI/l8PRMa0caDpsUDoLadQrNSmhmpfSvd 3Tvwh+BCV9nvwizo8PczrpMN/sBAZ/3Si5QNSfQw7E9y+0PkZaKc9QU2lNNx 08Lslx+4G1f3HP/MhhjMGQ+2R/wAjjSfZW5mR7t4hMVMgh98CvbfVhPlROQl l2PnNs8DR8j7D+dDOdE9tmH1tyPn4ZQg56RBFycyqT6svXf/PHg1FOexOXKh PV3mwBGP81B4Qf74lXIudOnJE5FozfPwzF/8YsYyF7JVYTWz5f/n7xsufxTC jWS4slRuT/kCF8WAg/ojblSymH/9T7MvGCi12vksc6OzaYxhN7J8IVIHo9oW 4UH1pxdfnAr2BUepg777NjyoX53e9qipL6QOlVBiN3jQXFXYDCbjCw08vWJ+ DTxIo/OIfPRhXzhHzZK2NcWDjrT0Mi599QGTa9JVRds8KIOYbnSl3wdUH3xn cGfjRbd/by6GVPuAR2KfTZg0L0opz9lMuekD9pYFPP9p8KL09DCtF+d9oNRU a6tGjxcRo7Luyxv7QAex4Lq7KS86Lbd60C7rA7Kfr3lmmfEiU/9EVm9GH4ja GZajNOJFeztOuNqGNxw1couJ0+RF50tCho9PeMMTNo7fU/K8qEegi8e4xRs6 8gekRrl4kRqYRaTkeUMdl3Wb4i4PWujierJ62Rto3+Rhw2940GKIQHP4WW9w ZAk441vLg84zuaoLEbzhJGNDwVgEDyry+Ci0KuwN7Ayata+ABxUcz9WYofSG 8+Zbwgr73CgeS3b+uXQO+jkfFRCb/rHxYyfpF/+4wqBB050b9YuL0ifUn4OP GiVk12m4kX9qvyZp1jkI5U2VtK7kQpn6lS//Cz8H4jfWnkZpcCF3vs4EF/tz kEMs8+ju50R0I8xIC50Dk3x/7dkeDuQ643HgT3UOCp9qtBue4EDWg+4Pm795 QU/by2rSInb0uKLgEf+IF0j17ja8/MuGqtXo3lQ1eoGAVEXQZSM2pGnY/NMy zwsSRCqujGWzotai2x8For3Ad3lVp2iMBTHxtXvTuXlByOEzVEf+3Y8l4cu9 Ose8gKQvI/uMDhOK64+1ymbygobk2h/mNozIN3prg3TLEzq+k1N3PqZDn/c4 JzSeewLRrLrRlI8CpTcvGsrYewIvp1X9wBQpElHYjblI8ATCoXtF4hwHmFma R92MuCdculNOwvL4F0Y+IXqW4acHzFxL/T6d2YOdnqNXeZfm8W+elXD4EdKJ f+z0P8150QMEJYueFQu/x63MqGVDnf75699co+Rfwx3956kTZDxg6bvbsu4u CdF6d4700Et3iFyRnlHjIieS9gyxyTe7g9r9TRZ6CUriIOOb72FF7rD94oKS KwMNUY3byNwmwB0e+1fwLS7QEhVeyN3ZsHYHA8ILsKumIy5+PcpZA+5g+vOL BP1XBiKLuYO4P5M7ZJN36LHVMRIjfWSyvm+7wZxlfke1PRPxYZZTTvy8G5jQ Na+m/2UiDqk0Hz457AbyJqpuHDeZiTP41gRlmxvkqpllJx1mIdKnLo/8uOsG RRsiVErRLMQwRvv3q8luUJL7UcX9IwtR8gHV68PhbjBlUFPtLstKPPWirVjT xQ2iZR69j/FjJb6fPMGaYeAGfS58JrR5rMQjCrps20pusE7JFaP/kJW4offw WpSAG8ih4Z/JTazE4tiTypy0bvDw6Dkp/nusRDndCqaXP10hoDfr7d+rrMSK RImtO59coftBcFCaAStRIHt2KGbQFf6UknDFULAS71uphMU0uwJt47PL/nUs xDylxKn8EldY+aaMbeqxEBWLFd8PJrtCrc3HQ48mmIkvdvLcWC+6AjuVRqy2 BTOxupXDKtzNFXTIRy1NnzMRBTUYctaMXcHXkUfUX4yJGLf5kTZO1RVYa9tw YioDUfle/NE1RlcgEaqS/0xPTxQK4fpvcNcFQpvpp4Uv0xGP8VJ87FhyAaN7 +vzr7DTE0Qe2Zkud//QLjxbCUkiJu+cC+GxDXKDwolRWIOMB7tMqtPPDyQX+ LBw8IdvYxj2UxYfvGLqArfyPOs3oDVzdq+TrSTEXuHZ6XtfveD3OeymTi7rR GUj0Zdrc+4ewv4Tv1kW3nMFsyv3nQcsnbPLw9ISTtzP46dzJTRtfw1b+Xsc9 +Z2BlWrgY6MYKVq7NB4QneIEnAW+79pPk6OJzPHpAG8nELrrpjRnT4nyLN3n bp52grk8476aczRIlFdmWnPvLJRYa7gNOxxGoi/nvT68PQubvBECgqeOoOiL Eg0lLWchVtbX7VgQI7pFq99WHnQWvM0v3vhswISiC8upF4zPAp92pYAyLzMS uZyobSp9Fvh9zx9WLmFBEuc/1BcsOMJqXlJTuTkr+lk7FHKl2xFoOdy09HZY 0QNVS4ukUkf48TbI4xWBHZEVHOtkd3YEp6jICtmv7ChP7YN+l5ojFMbobzol c6DUkk2NYnZHqFIVrt9+womIR20TPg47AI2cuECfPhdKjL/nr3XfATzoZgok R7nQBIPNl8kbDiBG4Y379XAjRvEfVbGaDiDsKuf+UJEHpS+M3CjkdwAk/R+H YT4PatTi4J3bsYfn5EoOP37xIM2pU3LWb+1hJ9m3TlefF5HC2M1fLfag6Pk0 gzaLF3Uwa//pzLaHJvn6hIWxf3mwwq3ZFmIP/WkttCnUfEjLb1z2vZk9tIpY 3L2vyIdKJFZuSsnZw/Ct/YFflnyI88k3/rIj9mAbeJKSx4cPhT7Ta9JdtoNC n6jxoRA+FDV5g5VjyA4W+HSb24L40N8MCRqmGjuIlWGTznTjQw0ZlQ7KSXbQ qureTK3HhwIDb0zGedvB2NyDiReCfGi7R4ewq2sH3C+DadKWeRGXvKdnsYQd TN+Wnjio+Zenem70vofswP2zTfOIAy86WYNTOC/awm+zCzL1+//ye/U3U3Sf LXyO2+4wyeJB9E23DroqbSGQ13feiYsHjWWQ5iom2sK3J0g0PZ0bfRAZuzvk bQt3yH/tZv7hQj8prn5N1reFoWyaVQ5zLjQ/ckMl9Kgt9DH+vTySz4lCBPzO xB+2hbecBCHfMQ50LvU+XceyDRiYOLjlbbOj5NYecZ5hG/C06CPSMrOjSmU1 /7v1NhDaS9IazMmGYssSq00ybOC5YfxQ9BFWtFAgXy58wQYIDI6Gus+ZkGdu MglSsQGq9OpWzxhGxDSKbcZz2QDnKXfH13b0qHV258X6jjXM/6A8phBHjS6V CN/QeGYN2XNGDjwOlOjlxCVG7nvWUHXeLLGOngxZyPmO8d6wBkab+uSmo7+x AgFf8wxja5CPJpN99/gH1pTP30p23BpIfsQPCMVOY9VkjyvyWK2BoAKiLPwz +LjPeujxD2egbZfa8SctBXGCJoyK2f8MUKoPYJOvuIgk4e693jlW4EPzhrIu kYcYb/rf5kiUFTD+13dFSomP6PSjLdvKwwoMU30L/hwXJHbQJd9rVrQCUtJ3 i1MbgsS7djovMniswHgyauHKfSFiKumXtzfJrcDvP36rdFIRou3fV5zj45ZA k72/2lwkQsxhFSEX7rCEvMXxXDY5UeJ/Qme1b92zhCguBje6ZlGi+HXSDtZb lqBcLei5JStGnKzM0GoLswRy9ohWxUIxostyattFJ0uQ/5QYyL8rRrzSfnnL QtcSNOI7y1hNxIlToa8/6MtbQkp8uu+FDHEif7yItiOXJcQ4+7zL7REnkhrP 0d0ks4Tr2U9oPn0VJx5VzmUc/24BK6Vb9BV74kST0s5jKpMWwEebSmJAIkEU 3Z7BWogWEK2/+lNiXZxoVRohaFZlAUEzyWRFI+LEdBK6RxSZFmBvMgFUBeLE G5e5XoxHWkBHHregsZU48VUqoznuaQEnDj3Jd9sTI966Yib6zNQCBpVpxr7e FiMuznhJfVK1gD8yk8kJQmLER30zWhyiFmD1dyVpqkiU+Py0oY0PvQVcuiue lkAnSlz3UdSd/GMO/XJGTnIBIkRGffEt+zlzWBa760lxRJiYHuUi1thmDisl QSJhhkLEkp/PfBPKzKFYMqDF/6ogkSzAbT8o1Rz0qM8Nk+XwEZlrs4uzPMzB asMsgWSfjUivf6yCnNkcJoYs1v/+ZiGeeLpJKNozg0s2j5TkvjARvXrcdEy/ msFaJc3DXqPDRL2B8wK7nWbQP8f3WOHKJp5bmvsjLNgMgg5u5O7IfcH/S6F5 NnLWDEhmfv5I/f0YD85J5tE0MINOiySNRNY17JnBz00fETPozllcT/WjQWyB KdKlD0zBLEd9afPuEZTGbkLbf8MUeL98xTg/MyIKLlJ5HjfTf+/TknjsZ1aU g5f56XGYQnPc9sOgk7wo2a81uC3OBLI+LGt2U/Kjcutbm8qOJvDwxDeD7icC qPxhSOKCkgm0XK+V86kVRHY5W4sDR0yAecWUpspfCGUK1A58WjAGvjTmqBFB YSToK/hFotMYnJ2FdBl6hNHqpN/G3XxjEGbLqauyE0GvN2T6jC8YgwCqCuv+ KILITWyVpI2NAR8wVRqxEkUVHXW7qhLG4FF5LVa5QxQts/z8HEFqDJG9cn/c 2cQQudT36m/vjcCP3UKmz0UM8b6yZk1pMYKi6x/ah4rFkMfs3/mzGUYQTtWt /HFEDNHI5X509jMC14S9k+d/iiH1tPWuDF0jGNiIdvhEJ44E3gzZbAobAR1S U67kEkfL75cc4/cNIdtawkmORxy9Czl8+/Q7Q3ghrRYwzySOGIJ/9yi2GAL/ g3N7Cvti6PF9v3rzTENYG7hXdmNGDFH/kWcrDjCE2uCFPybtYkhSmuoxp6Eh tGUJ5fxKFEP63PUuzyQMIVrAkHHJVAzdubMylEthCO4UtmRZ9P/0mBvEglkD GDuOkbv3iKL4Mo2dF0QDUMhdrekOFUWRr0dPSxcawDcRjwxRPlHkuErl1BJh 8G9etfw+TxRBtouVNAE2BhCwK3DEwlYEOR2YH7FQNoC7H9ekQkOEkYc2h1bx uj4YHTpM4fZLCL0eDKKmGtWH1IiabeoLQuimkJZRfp0+XK8q39l0E0TF68Nh mn760O2ceNDk/W9em/9+NvOrHnzWv/rZ3pYH3ewIFTUb0IPX0QpbqqbcyKMr sEWlWg/CFNp4k025EJVY1LRekh5kF4sr3HDgRFJHVN3jfPSA6m8W+7kwDpRY qc20qK8Hdy+xV7v/x47eCWg+unBUD9Ssuvub37OhD3cH6aQO60H580ar28fY 0Gm7mB9Uy7rQsr0tjf7NL8PBFHxHXuqCluJDmQVWVqTIsemhXqcLAmVfT/Y9 ZEEyYcupGWm60EppZ0Puy4KuHWR6MATrQlvpj4qLGiyIeTz3UZOFLphP5Bde FmFB1F8I2jFKuvCo6/sxDj4W1KbOsRrKrgvUd4KNbCVYUPB02ZW0PzqQeK19 VY/AghJHA7tG3+mAU4n54Z+eLMiEh+LWSVwHOoT7szxusyDO7q81vf/pwCv5 +9HlIyzoxKvq5cuxOvByMxF/xsCK9vReCp3x1IGZ7FXdbitW9PT4NNcZPR3g ZU+nr/rCisIDF9J76HUAzT5hsvr3//kz85OPN7RhNrdH5EQQG3JfZOsdf60N jyXKj4bWsyGz5iJFxifaoHvFgk5piQ2tRJasBf6nDdxJPXUFnOyo1+/UyEac NnQr/94aRezIqb3ybp63NrwO/vDyry07gqyfqq7G/+ofDWLX8GRH69LGvkYK 2hBuUt2Ku7Kj3aZJCnsObRAfvJp7z4gdLTo3vE/aPQ1pyd8L2EXZ0SmnQ8/e z56G7XqarKfLbOgdbpJo2ncarI46ZBTVsaFzP1Oov9SehoU/FBflfNmQgswW Z2HmaTjtWTZiMMqKdDSFdAOcTkPe8knZ55Gs6OY3fZak06dh/4634YAwK/p2 POhF99HTsAJTeW7/9vvLiRtuxVta8Cegx617gAmxnr1TOZmpBQTayMzWFTqk qyQ3Jz9yCiZ9bW+LStAhWYrnzrqtp2Dn4aVXaZ6HUe9snkbUf6dAaQlS5Zdp 0IvNjouEoFNgQ7WPqS9TIUNG8nVZllMgKPCxcFGGCrnrp5gr7WqC+Gqs6EYw JRrZO/vN+osmxOtGByVRUCDRynLFzVZN6OeiYB+0Ikce5DEFfnc1If9EQ8Vo DRnKqg6sIUvWBOe5BcPc86TIodT8WLyTJrDixZqHp0iQjmONdaCeJoyFzszX GpOgp7Kzt8MVNOG4c5JR7Z0DLOxlVX8+rybQi/YvP6vfxyiXG/umqDRBPbYu 2eTDHsaLmgMV1wlwt8uflkp4D/O+6FxY/Z4AZcdVDApjd7Ebhp5S6r0EOM6u caznYAcTD4jYWHxIAOonDzKUCnaw5UyT8foCAnCQ5r/Kt97B1mnyKjOvE4BQ RPVNRnYHox31M0oPJsCF9+7j6bw72Kqv990qRwJ0sEswXRXYwQRNNa6/1yWA aE2veLPSDsaznv9OUpEANWttuat2O5h7j8KVdH4C+GuHLn5L2cECCG1mzLQE GB+cZPjUu4P5XzwnxbUCUJl07dsO9S5Wc897XK0fgIr6Npw338WurlGeTyoF 0Hyh8sa6eBfrOPXqCUU0QK7jjYilH7uYapxjRq0NgB5UrOijPWw4X7X1mgLA Y9apYJF3e1j5krzwgyUE2yyyjKtC+1jeWsA+RTeCnCtv7x53/7efATp2if8h eP1uZ4W1cB/r0NPfPxGJYLau5enzwX2sypumndEGAUWM9AePH/tYfjPnGTZF BPFvIunEyA6wsxw0xacZEGSfHOCUOXSAzYT5ORd/xyDyqPJAxfY+tt424SHc j8FlxdkvT97tY9794xGj9zAYfbty4nb5PiaQsuNTFfOPT7gFcTnuY/wNYSQ1 Thh0Tenav+Dcx8i8Wqgm1THot2P8sjy7h11cdDaW4sLgXdrpHNuWPazWvqii 4rcGcJr7ry5n72Erc/nzRhMaEHmB5dKNqD3Mv/LaW54GDaB7+bSR0m8Pcx2I smFJ14ARxR1xbbc9jCKgXV4xQANeRJtYizjtYWntriqRRhpAG3OqN/ofq4+W YN+PakAqi8vO8X9+rdd32eJoNMDtsPxlPu897ONqWsapJXVIQep9fIF7GNK8 HSfVpw6McbTnGMP3sLqVT7hKhTr8rhP/OBa5h53lzWP2T1AHnTzOR6eu7mHR K18tBzzUgZzNxwP7x7ZJJFZGp9VBZackquTyHibAdOjLLxF1+Cqof0U/aA+j rZF820OuDvyO336wOe9hVpfSyTrm1OBj7BGzOe097ESJj+JUlxrInleXShPZ w5a0P2Hc99SA8/vu3u/fu1j5Ld6fMfFqUDL1zuIPcRe7V2AkyeCpBo9pnGqD Lu9iXNl3ap9pq0G6FUMaJrmLGRYct8wXVwPutItXNfr+nddJjZWcQ2qA0gTI DP/dl3qvRdPWJVXApNMLdCa2MYcLjgZ7A6pArmoxSkfYxkoF+urP3VeF3NQV 0ci8vxieZmHxO0UVSMhW+AI//MEWFqUoqgNUwVG/W2GC9g92Wzg896qZKuSE KW3LyG5hSdkL0xEK/3h1t2K9ahO74h852v3kJDwJ1zmZd/IrNiHEdmZ6QgXm n14s+eayiL2SeyhwskUF4v+auvSnf8HqKIPsH+eqwFiPEFXA4c9Y4nagrZKD CnwoerRjZzuDOTO3t0pjKpD4SWpUwW0aa5w7+VRfQAUY2SmTmlnfYGH3Vvb/ zJ2AIgWdRFLuCaw1RWY8qffEv37pRmM8vMK4BJtvEKpPwPNbuFIv/UuM6n3S N96UEzCd3pMXs9iHLag+HOAPPAFmBMuGuCNdmHD7sU1tixMwZyiuKUWLY6KT 5MqZyidALted8u+9JsyKVu0sOdcJcF8O+HRkqRrjnRxXzd9VBvuN739TDnKx L48m8yxnlIFkwMMphUUfl7Xc1lXoVoaqgv+orYJy8ej5W0zKVcrgVWo8XSVf gb+eH+hzSFGG1y8Yq2fH6/G6yDqoCFKGq/E8Nb8sm/DIUXUT1jPKEE9d7xlg 14Y/pg3pL1dVBtexjGivvSf4uLl5nD2/MtA+Zfb+euopfurlW0sFcmX4cqbT OIb9GR5/7zCDzJISkGuw9Tk5P8dJDhaSDF4qQcQ1ufeZ0V24EoVf/s0GJdDO PKFdFtKN57y/w/wjVwncZsw72Qg9eH7thcHgaCV4+bbqUNBiD95c/DuH010J Yn+4vVbx7cWd34oYzOopQeTNysWNgV6cPn7nyZCsErQJFP8Wp+7DlXujO9+w KoECbwDRTrwPN+qrOUa5owgLK2ib8R/318VOWs4qwijVSc+xf37+e5TpXX2K sDx27bHIaC/eM6x43KpOEUyeE5pvRvfiJ62PpFLmKMKg1n+Mt5h78RnXzMg3 kYpwvrfrxsP0HlyVq2t4wE0RrNsnJy//7cY7y/5z/KCvCBrJu83BJt34R0nJ bfrjioDdd57jzujC6Ucdo1w5FcEqUZxr9/lzvLcTaxs/UIDojEvMBV+e4ZHC Q7Geiwog77dpu0PaiZ/QFuJYbFGAzAeg5ryM45tvpG68LlYAitFek9H6J/hX 86/v5q8rwExW3Mnkty04R1hM/lkbBcgLcalU96nCI4d6vJ78PQ6iyl8paOZK 8SPflZaKPh+H9On2132Nd/D9eS2x4qHjQKh1t6dgvoBnzyqjraLjQPntmdOW VCmWZ8b16dDp4xBeeDFDIbYCW366amssdxxc/VcvVv5Xg2X8LX9yn/s4XPpg ZMIfWYe59wl+FaY6DhYtdlX1VI8w+c3TXQ3r8vDRtOxsfmUDNqSzJe0wLQ8v dlg9H/I2YdQpvJS8A/JgGdn5wdatGWtKyZf/1SQPzamtn3+HtmC1zJbpCyXy oLx1OGfFrBXD/zUhayny8DlshOneRivWOkkfyhQhD2ZDLBcjrduw8Ip3Tww8 5aGw7dvnqUttWJ9I+NMCc3l4tO95QfCffoWj14UCycMlp1ydlm+tWIBhfUz8 UXlY4l1dN4FW7NK1Z2S8HPKwLx/zaDu4BfO6U989SC4Pd+ru8Ntcb8ZM+tvt hWblIFPdiqHoShNGde2Z9vvHcnDnSq8d5dlGrFKwnL0r+5/ORzvRL9KAdQdk 5U8FyEEJUcVKcPIhtiP75A6PvhyMMoy6JC3UYUtihgvJInJQZe1VU7dXhVkN Ot3anJIFvXv7WQGz5Rg7KSHmW6MsVIW4LqQ+LMV2rp1eO5ImCxSpucsB2nnY eEBI0FttWZhhu34lddgNvx131SS6WQZGnzjdfN8bg6/F5wWNZcjAjGe/oWNx Km7z0yDQIkAGKAR7+1KrC/BNORXFMQkZMKbgOKbUVYLbJQynv6KQgfQ5+Yjl 9DLc0OHxzvbsMYhQMF+/1FaFEwoMjg4VHoNZ6l9dPjT38RupRteDLx+Du/nt vp8kHuB9rE6CmrbHwCbXX9WboR6v33jQrXriGIi/X9UcOPsQH1/2BQfWY8B7 ZtXkN8sj/FVfl2P5hjT4ZhX6k1U9wnX0Fpc4XkmD9vZUVLNQA855ReZBQ700 WP0OdQjIbMDFUH5oWKo0TL73a4nZbsAnNM8zu/hLg8PlMz9n7Bpxpfs09iFG 0iB+tysy+mEjHlL4jr9WWhoGBYwa9fYb8WKV00pHDkvD0544UiWtJvxVca1/ zrejcNnt4IX81SZc9GdE8enBo3C1xzJKvqEJr7ZjvsNdcxSOEtnCRT804Unr 7xU5bh4FMt53gvu7TfjraQ1Q8z0K1+qU5+pYm/ESQkFanMFRYNHGRSRFmnEm jbN/No4ehRP1lPoOks24+saSUeLho+DaUdauKtqMqyTcc9FalgI6jWMfmtib cX6O31SiL6WgYk+Rg3jQhJMNarEcrZOChlHTVzqfmvDDnZu2Z9KkoMqHkvpY SxN+WaeOkhAsBawbZ8bH45rwuerTIiaWUuAXYRUir9eEcwU13LiqLAWyDKyi SuRN+G/+TeoJDin48LxS4lVTI26tQRZtuC0JP8uEO/46NuLMJu/bv3yQhN/P cgVLdhpwqncROaVPJcHtGHd2S3oDftjr7ZeYUklo3eg4I8fbgO9d/HUtLkES wkWz7u0WPcJbcgY0Kr0lge9V/VNG9kc4k7b56rKhJMhQiy+cjX+ILx1ODLCS kwSDBqa62lf1OFuQT/o0syTQVr4unbpeh4durR1N/C0BEJu2moHfx190zXNr EiWg3uOR+H3tGvx98i9+01IJYFhImBXtqsKdjt/fjr4uAZ6zXpBxrxzXO+ZY hZlKgPj2mKmbQzGud/3EEuGzOBxVJGPy4C7Aiz+ONJn3iQOBi8MkfjoXD9Hq UImtFQcdUYXfw1EZOKfBlxHNi+JQ8v2xjdlsGE669tZKhV4c9OjPBV1P9MQX zfw/af4UA5LRrNPvxPY6zvwgPfB9JwbX/MsYGug9sGPJ/mkNnWKwLDjSeLPw Ama0luDHWSkG3BcuBHbmRGG5nwVDCm+JwTs16BS7EIutSLBGoVAxuPnH5jaR cB07fl3Za99eDMZfzzlaPkjCTnfZ033QFIOF9uctKQ0pGGW5ncEbSTH4nTCh w2KQhtmsH9pdZRCDO2m7b/pa0jGeAPU9sS1R+KqUaHAmOQNTmB2QivgoCmRi 0UbXBTKxKMaks197RGHP3FBOLigT+/DMJDT8gSi4Lv0ZNbmciZ1L+KovmCMK HefDNdYsMzG9IObWhShR+KGnz+PPkIl9saXOH/AQhR6x9KFrdRnYck3NaL+R KPBX+dxfUMjAjoxNoXklUXgR9pPTvjgd+6Ua0s3DJwp6PsXzx76kYdYm1qcC KUXhD+tx6Tq3VOzDZY/8jz9EwErt47O6thRMRTqqxue1CNCJzXmUf7uJcQxF WTM+FYF+wehR6t1E7Giv9pWxShFQiPjaabp2HRNIbCF7mC4C3QGyQu5psZgf w5HyDjcRuOehvnySKQSr2Nhb5KQWAb9GE3XjYB+M46lj79CqMBBCJ08shJ3F 8tb3G4veCIPg+vddg2/6eOKlv3zFlcLwotGc3Oa1C07S02fwIu2f33L4Q8ya Lx5+rmeR85IwFN8zP15MdxG3LlYbp9MXhgZTSSOF2EgcPyo51nhcGJxWqNQz G6/ivHvypZe4heG0ixDjxlAMHsyUzuNALgz0cZwMEllx+BP3a+wOy0Jw9WqW 9M7RBPzvqsb5S5NCkPKrI5w07Tou1UCy0UAUgtf3ZR+W9t/AJWkcYmirhGBK mUecYSsRH/miu3YlQwjWGRdUd7hv4v5hJryMkUJw6zgTXqSYjD9/rTiHewhB A1e6zSzcwuWT6tsCTgpB5uAi09rxVJzIMRobLCwEJ3MqY9LZ0vAXG3NO6XRC MFLeOCdvk45r0Wx3Cc0Kwn/pyoIkj9Jxttjr1NlDgqAYEviOkiwDR8+5Xwu1 CAKFtnDktH4GHrwUSTtUIgiJ5AznhRMzcC+WwLi0ZEFQq/rNHNSRgb9ybecP DBeENJk7710XMvBzGwKPfVwF4detxzJZlJn40tw5xatGgkDazRnyH1cm/svK 2rteRRC4B8OYhIUzcSOPhye2hQWh405maAt/Jl4vrx7lTC8IjvLyFH/oM/GI RxdliJsCEJLAIBW7kYH7/V7pWx8UgLDsdcO1/gy82N8rzq5UAD7Y5E5OZ2Tg UVbePL8iBEB48JnsglEGHrR0xbDbXAA6vhzvvPc3HZ/3UhrplRIAkfKqjabc dPzUERa3XVIBGCVblG0QT8e3OMuferzjh7ANhyeBRmn4+b7QsoMGfmiijB55 Lp2K01jTDbxI5ofBX+qdUispeK4ry9chD37I62OSPShMxs11fnbsYvxgvzM4 Kz2QiI+WncnaWOODYI0LX7IMbuCcdHsCrYN8oBEnLrvUmYCf/OIWWnuPD55P q9BezI7FX/W3Jkra8cEd1uwCecFLuEZQ5Q/nbl6gd+Vrzp8LxVcuuevc+48X aFvmdFwfBePPHkakcUTywu56WHbRHy/8ZwrZoZsKvKBnfD/gGLkrvixY+DSR nhfagshNdxOscfmu6ajmbzwg+JnjHIUTIz7DVMmVV8YDMwVvXaJ9CdilN9M6 1bE8oORqMfXrvRmmWVzUPuvKA3TxN0gYZ20xiVLaU5qaPLCicXT3Po8LJiag /7BPkAdou67pvvB2x06YR0+Ekvzzh3/XNzH3wqxDh67ozXBDxUX687nD3tiV bpurpzq5Ie3rLeYj73yx2midCrcSbrj040gVq78f9u79k66qa9zAUa6QxRLj j1HwfKhkdeWGNVt8IJQhAFNUHRCu0OSGh39A88AmALNOVvjmKMwNoyKcr//k BWDMBotPTpJzg2C/3pua0QBsqtguWHWeC+THJ7Kc9gIwzsadOaceLnio8NT+ LF8gdvoh/Kiq4AKXisdarvKBmODhcKkaHy4YTbegJd0NwDa2b62ry3DBTDyh 4vnzAMxs4361GgMXrDkXi98ICcDQECfT2XVOuMYQ+C6XJgCTqdchLRvnhKCY ZkZ03R9L6au0pGv5p5eFcnYt+GEvsbrZvDxOILjXE4Kk/DAX9RfxepGckF7n PZVqdB5r+XqBnceJEwQvlMl6m/hihBCOIEZNTigpdsvUlvHBAvYlz0uKcsIM f7VF0OI5rKGVe9bt0L/6sxHE45FeWGSf0/2n3zjAbOKN6PiCB6Zmc64MDXPA 2nzPRJGkO+aaXlH66REHyJPq8r1HrphLYWpsaQ4HlMh03KkydcIq72Xw3oj4 5xfn9S7vssMqx4QMbp3lgNGBRgK8tsJemT6ab9LkgGtzTAlM1KbYbe2Gnj2x f7zJNVrNI4M1El51bqywA4m8cylrqgS+nDd+q3icHQTlUmJJNrXwWAbGQ+fb 2GH08hfZ4xfN8cWXfyhti9jBTEn06akAO/zm3oG7Zyw72CrtSzGtu+DTfbnb mefYQZK/qZL/vCduZq1QNmPEDg9r16/5iwfiRp4n/6/i6o6n+n+j9iYyQrIq lRTfzPB5PlJJEQ0jI0myKklGSpKVhChCZDTIyh735m2PzOxxrXuRPW6RbD+/ P8/rnNcz/nnOecL69wjgIt9PioUqOqNClcAXgZv8+GRaDOHmugvicfu0bDDK j6t0ytHPLD1G8p0MH3Wy+Hfy8u1bxtJeqP+cbLhrJD9uqReTbVTljY40zl0v fcKPNyTXN1aY+aHHyQt/07X58bX6cI1BrQB0/fIel0uy/Ph41H7FA+cCUWpO rCKvAD+uqZWkNxMYjEDFd/LPKB/ekcXepNUYiuxyGoJ3NfLhCndEMc03YQj5 K5PO5/LhD5VWgr9xvUWZv853Czznww3RrdjvTyLQVjTHSJwNH15435Nb818k wpv5uM/q8uG6dqT4duEY9CLAi2t9Dx8+9u+u2ARbInpsRNFayebFWUjRlu7L iWhDfguConjxsTi5LqWxJKTTy0qPefHiQ9JTNmdrPqGxY4UGDLq8+IqadVjW uxSkIkge55/ajXctdbbWBX9FccpUprTW3Xi/ufpNXt9UVBnqXXq9eDfemqTg rXU/HVXGTZvsD9yNe3dkCx/Fs1Cd5k22/Ud241Jqvk7ZmnnIjLsist2JB9cW 9xl3/X9eP2+6V8+UBxeQYZYwEclHXHHvfo6f5sFbHWqnV+fykZNWxZH7e3jw WkcOehnXQkT33exeTxk3PvJA9qdNayGqaQySU0njxn/RiTpWHC5C9Lbzc/kR 3LiFj/dR49YidOPvXkTrwI1nNfg3XxErRsVnGp63GXDjSQYe5xccitF2t2ty Cc6NS1Audr/6V4waPUNcx/i58VdYuYOuCgEFzQ62i9Ny43qvT5OPuxKQcdbk zELvLtzEN/ER7zcCiu71d+rI2oW/r01wJY0Q0O4c9/GZgF34NiObkDUvEW1H fKQ5abELd5tP+RyGE1E0efoBUXEXPiejaaphS0SCVIW5+5y78NOOSU+uBhFR k9jtgya/uPDHN0IvpH0looHGG82uiAsPyWxjOVhJRPcusUbXRHLh1xgVVj51 E1Ezq5aKtiMX3sDrZco8TkTKBmuWm1pcuAXLrNfGEhHt4jTbs7XCiVvINh80 nyeiC/slomvSOXGritfap8aIKF+G2LD+ghN/2Pf2w2AXEVn3x/0zt+bE61Ld iTpVRHRRNI46qcGJv7PuU0jOICKbsaAXCfs4cUF144/Mb4goWUQ91HuNA/e3 eh0d9JCIaAt9ul/1cOD8bOKZ5y/vzJvw34mKfA580zrF9cZRIqLU7X0o/oYD d/9S9WKcloiuiPLdSb3PgRM3d3usdhJQYfjcjNlFDnwrQX449zMB0fM8qVM+ yoF7lFbpH3tAQLKvXv9UZ+XArV/dtPRVJaDjC5tdDhPs+IpKevJPGgJaPRqT UVHDjrduEaUL/IpR7kwSz5QPO/7lCXrrq1mM4nULThNusuP9SWOBuZtFSFjz VEiOBju+lSfkGHe3CP1O5vomtM2GC969+zxQthA5PQ4XqnrKhh/Po3w93V+A dD49WWu5zoYHKt5jVfAvQG69rs9pgQ0fycebRDvzUcT+8R99W6y4poh4IcPN PNRy44fcFR9W3Pd7BP0V2jzEwXVWMfQWK151iEc5NTEXndewd1w4w4qLy71P Hh7IQZGzizXiLKz4cS9VRkO9bHTxxYHNk2EsuC+dhtF5kzQUP+B7QDSFGV+T +bzvQ9cHZCu0Y4vzjLjRn6iCEd849OZu1n+enYy4DIP022n5WKQAPDOpREZc yo5xqPZ9NPI8r5Zt+YIRt/6eMG0S+hY99Xj5W1mSEe91CJ4wMXyDPE/WWKiw MuL+Yq0phyR28tpl1ltGVAZcifrAyjo8BDG40X6bLmXAmYaO4cbVfiiWffd3 p+sM+L4cvyHffB80zfD7oulZBpyZfn3bKt8bFcsGOFseY8ANqjZDAps8UDOT 9HzFJj1e+K7NKFreDXkcGaPfN06PqwwYih0od0Z3HdIPR7TQ48edKw1DEuzQ IYVike4EeryJT7OnLd0KXZFPTUsMpMcVWNnjH4maolBsqzrgAT3OssE/Yymv j4S4OHUCTenxVvruikBMGclbHhX5cpoeL18X+9bXfgSjWfi2Z1CGHpeTsvSl rGlhKa5zInIC9DhVY9C9bvEKZpOlzh6/TYcH8pDMtaNMME/jPxVSU3T4Dz5F 14GbNzCuI9biDe10uN3dUqtCKSvs9PAEY2AJHS6+KHbk9xFrzESx47Jl8o7+ FhP326LbWOj4k9ErYXT4XUZCTFiTDcbyTfn9jcd0O371THvoti02r2VuGGBN h6ssJsQ7edtiXnfxpVo9Ory3wUpUXcgWW+pTMpI4SYcfmOG6oHjMBvO4EG0a uX+nX8zMp0sEa+yEB4EsyUWH0+zV+OZDtMIsJKh19Su0uHrx1ZmyY5aY6lb4 wstRWjz6Tj9xVcwUm21YUrrVQouzZKVxmpdcweI0HZ8aEmhx7rfnUsQMz2Av xA0+Wn6mxWlErhr6ia2qT4tt+Pm9psUtn1vbk5XPotn17wwVj2nx4mtjq20D Rqjg/hSNgM1OP8U+EbETVshHiXTN9zItvkSt/Xcwzh6FsY/NsGC0uDcX0b+6 xwkxppnHJB+mxSVLmqZTlV0RW3OMhjkfLS5eKPdGdcsLdZjv3+CapcGpD+b1 so76IFGjyDH2Xhqc+z32JmvNDyVIr94Sr6bBH7k9goLVIFRG+lr1Oo4Gj1sf 4Pt3KAK9CD6i469Hg7d28/MaCr1DP7wleGJP0uDRD+bOP9sTjUzYi9MaD9Dg wboNPcpKcaib3zl3dXkbHKRVe987fUR73qRcVDbYhmsl6Xs/BaQjp157zEJw C7KZfFvSUzNQU7uhSe3vTXjgoRsk1JiJ3ihpiFs2bsLs6YWZcPpsNPKSJvvQ s02I5w1dWpHORWsvKwa3JzdAuK7VmzsrF9Wvnbg2X7UBhzUKdE3l8lDiQ99n HAkbkDPwz9vvSD6ybsrp6jbcgIDjzg4nFgpQ+5nu5LiaddjwaqPrNyxEa2Lt obQf18Hs3HpkQVEhepoUcjDCax3SPhjs9eErQuqDZ44amK3DVpRmEM3OPROY kLc8pbIO5brSJCoqQg3t7/zM+NdBtt2JjpetGEnlp177+GcNXsCTNalLxWg1 /mscf+saSHz9Rph9XYzoU35yF2SugeBBJ+UD9cVIgmzq6v1qDcIaD9wJWS9G ihYBQe72azCa85/upBQBbSqEcr8/twb68+ttSxcI6Nyjb3UTB9eAO2py0dmW gEbU9jtZMqzBnUrzVElPAgp9e7iBfnQVggPQVFUgAUm/XYtsq1iFnNX7GQIh BBSh1/W2PnEVbmSzd5m9JKDTXg9ezTxbhTOUfDdmbwIiX+yyV76xCh4jfhT/ HX94pOPCkAmrEK8ZZjd1nYAmUqlHdUVXwSZsxuLMWQI6Ejebzbe1Ai9N0/ek HiIgZUM2a6ahFciQHft1hJGAFphn+SVKV8AjPk2kb7AYqU/IR1nHr0CcIu+u +pxixCrlV9zqtQIpvie4OZ4XoxP/vC7cvrECZnv2PczXKUb5IbX7JDVWwPvZ RFAnTzF6IbJJxyyxAukXktO8OorQy+7qBl66FfBndjxYE1aEvsyXndUe/Qdd YQ6PnLYKURNDX9Sh5H8QyHk01Da/EP0dpKvofvkPph59/tpgU4j8CtIHUu79 A0WdMB/uigLE1eB8OUvxH8TX23Py2BcgFvWQ67+E/kHs7QZ5AmcBshcQq1Tf WoblgwtTahfzUZRj0ppe3TK03hQ+qzCZh6wlQp+zZiyD1PT79l3eeSg6ebp2 LGwZmLgd9mYk56J7b2b+bJgug+HKqK9wWzZ619UTk0X9C6dHzMObDbIRJx3X 0J3uv7A5G7pZkJ6FZjs/Z5wr+QsfY5+JP0/MREK9s3rXA/9C+1a5aZZ+Klo/ mfNgQ2KHb6AqrpckoJVYK69J0yWQFPglqAcfUFdsmdkrzSXwXPWZrCp+j/ZN W5jpSC9BkfbSV6b3kUhswPyQ5NoimOi6mJIOB6CydfESqdhFeHSKlgc9DcB0 HpCXHUb+wDWltpcRrsHY88FV/5bGP5AY+UInTiMcW19z5rhYsMPPjp7htonC PBh+hrwP/AMZ2/Kfnm8lYdJ3Tmq5yP0BI/V3asXl37CPhnLfWP1/g5VL4kCE ajZm95ZGSd/xN0h9rRcT483BPt1B+rnGv+Et7/3UGZSLmTCe/9oq/Rs61+yZ 0O8CbCWsZMW+nQpWypoHSAWFmLER097oEiqoH92X99O1CIuY6swcSaaCT8qJ 98yTxZjUW92Ipic7+jm8gS7kOxaYTLy/IEWFhNHwDLVDJZhsKC6xyUOFi3cj ZzuIJdj4XOVp3bUFGExk2fjVhLBrjWHbb1IWgEL/OaDiQilWQ7U58sJrAQRs tH+VlZdiEzq7WrMNF0D+HX3k5NsyTKfb0fkTwwIUCGsluVDLMBUx58E7A/PQ 77/0ZFGiHJNpG/5klz8PZpKn1Fa0yrGpletPY4LnIaz16qa4bTkm9+mNxJb1 PNB7/ZPT8inHtgb2a7/D5uG+4L8zGtHl2O68oq83Bebheci+rxNfd/QnltZu LMxBW4NiPV9+OXbZ9tly2I854Cll25NIKMdO3ti+spQ0B5MGtjRWO/irlPCP l0/mYMtTYOlEXjn2vsGV87LhHGzsH7WcSS7HWo2LSedl5+C5cnTBrYhyjKP/ xcRD1jk4+4XmpsuTcuz8zaCZltFZmDGdaPtrtoP/3Y43LZ0FRq097uWK5djP 1PIigZhZuGBgVpbBUo5V+Gss0LnMwsr4xgmp1DKMOfrVhqj+LFhKRk1GnSjD rObORTlIz0K34t6nNzJLseg3e91/Mc7CsU3RlmNCpVh8RMbV15QZcL+qQshz RZgqTdKYLZqBdN7NvR8rS7BjI/EUx5gZqBWi70zd/o45ndOl++y6gzXIpU9k vmN16vpbTFdm4OUtaeIPbSK21HIxJOr4DDCUjOuqXivGGHMl6E9NTsPAnZsj c3pFWAN3d7FJzTQ0aWQJFagWYnY6Fp4JH6fBjjuul/gnD3snLW2Zc30aLk0k R0aV5WKPiZzCT9WmYSnW/Ea1Tw42vMHA7yo0DeKpGsyRpEws8r4j7VTXFNgd GFq+UfQRi5iZEe6/NAVh9psXPNMSsCAsXSxObgq4bT9432yIwUbcn2gGcE+B +BFj069urzCZ4GDxrtZJKGc+192wFoCYfCX/GF+dBOqLz4xdO/di/sDXwLob E+BnbJ1ydHcuYmIuItBrTsBADcm0oS0P+dxtobU5MAHAOxyYb1SEHn014I+b Ggf1oPkt9vulyEneafOH6ziY16kk7tetRVXcjvfXI34B0ZqXw+9oHRJS0DL3 8fgFfJ7Zn3NYf6AxV1ETGYtfsDxy9MtQRT3KUOOsmDz0C0RFNyi2+5rRPrHI zc2SMbDT60hUy25D+eW9tffnRoGg6+77mrMd3epe3OLuHAWjfU6hovbtKPoL k0Y7cRTeCw+e+iTcgeyML+/NDxwFx0YuUbXbnajUWGZ64eAo6FnlyolkdiPL 3wzt0jYjUOD+uGdwuhudMTmqr3tpBHL6h0D4UA+6PPyT8EJ1BKyM7zrVv+9B 7HIpUzq7RoDrKqeOWHsPaloYde9cpYD2bVXmQuZeNFSU6+82RoFLkYfP3r3X i0R1hHOZiBQQjrrZ4/ihF1mwo5ilzxSwcRe4+6ixFwmWMr5df00Bl9hRZCPR h8R/xeka2FBAoerhq+Pn+5CP3t+uL5cpYBd+37PKsQ8FRDDTc2MU2DsVMyWc 14c+J94jHeOjwDsjDbfytj7UYdZ4kbJNhpATmudW5/pQ5eDycsYMGeYd+8cK mUmIUcKVGNZDhsLNcz3ToiQkJd7oGVxFhrHWquQAeRLK6noqmZhFBmdSUP+T syQkrb47rDGWDJYcfZvfDUhIUo8zjSuQDOnXpiNVbpKQBNOSgb0LGfRz1o6O OpBQtoWOa78lGXRZtLQzH5CQ2ZXoBeuLZPigz/Iw0JWE0vpvfGVUJcMpj6cK Nm4kdPivlB+SIoOSO4VPxYWELGOcbYN5yeCm5hS34EhCpMo6JWcaMtAV377q ZUNCZ3uNMgdJw9A5tFnRZUpCfmJnjRkKhmE+ycVpQoeEAi5ZK1x7PQwXFhkn Pp/cqWdZytlnPwzj1XOZ2/t39j1zPSPgzDCUs9hdnGIjoRnqhT5LsWHozs6+ eHW+D9WYhV+3XRuCA1n0yrItfajWQ5XufdcQpPyNC3dM60MMGpfCVrKHwMKt +Bedbx+K+DTQ6hM8BFr733wfNO5DgTFTwSp2Q2A+fzuWergP/RV4HiJ0ZggS 6u9zHlvuRQvcmbEHxYeALWUmxq+sFwV7unubbwxC7CP++km/XjSoN81Q2jsI l+SO7NfR6kVrnrv+nC8YhNPCW49aS3rQYnm0NNlxELzllP27H/Sg1XJulmmd QchaOj+YKNmDmH9bOe87MgiX9WfDtd27UU0B4qEZG4DS+sUtlr3dKF6B1Put YgDUiNW9V4ldaKRo5VJAwgBcq8ld1JvpRFsJtx59MxuAP1Xnzo54dqLt+SrC 1skBeEPz7kAtaydCAnqtboID0LN+MfMsfwcqq2ZOGuzqB2lnYnPo71bEZ3+o 5dmVfiiSIFir6beipSfC7Rdl+yG2mieo+OJP5P4gNFGbox+WxjqHp142IaHT potVtSSwpFHo+xJWiz4sjh5pwUigMN+sLLtZjcbr3Yy39pKgk/fuW0GrKjRA S10zWesDDeq8RKFAOeqKVxt4U9QHginaT8Lv5SLBmooIRoU+8I7silqpy0R/ yDxbr3j7QJx57fiXT8nIyTFCT32xF2iU3j27bh6GXo13Dwrl9QLVRoRL99QX zNC3/1SVQi+ImJtcxGSrMW45Rb9PeA/QHCut/cJUu/NvSjDkSPSAqE4VbWZ/ HZbG3XvxF30PXPBzGZj1bMTMNXTcK350A1uNI+1p7TZsvKn9m6ZBNyxn9cjH HWjHXIgfWJ8rd0NqT/e40FY71nj+WcKYcDcITD62yEzpxEYMZQqER7rgk/lr X4ufPZi/WTEf5twFVk+GUxlf92J3Xld2Jhh1Ad/cKyepC32YuKvsKSm1LuDo HHDcziFhTBY9xh8YumCsxXle16IfU719Oz5kqhOEDmvHA+MAdkJqoz6xpRMy t9+KntQcxGIHp1hkYzohin5DqadnEOPqfVuc6tUJCU4Bu87YDmHGEbP+Wtad sDf8V1i+8zB21/RS7i/ZnXoN6c8vzg9jqnbfMif4O+HLdzXK/f/IGAW/uc22 0QERIrRWnLFkrN7gzlD+jw54NhmqKV1HxsrU7gnOZHfAikRsY/8CGbPYECrE YjpgMd3mHAc/BbuSOxqa8bwDxO1P0CQrUTAnD/XHyg4doKWOa7w1oGBe997p D13pAFmWlsuljhRMM+3WeKJaByRmiT3j8adgfjoCAs8OdMAtftfd7lEUjPWe eOEjzg6Ix6/d50ymYOmRX1JCltthvqdeojmHgn2dMvyHhtvB/Siv6ACRghHs JkNZ69uhfOunB1ZBweZP9l52ym2HFCXeZPpaCsZ7v2Qi1L8dmj49uKpSTsEy K/o7BU3a4ZNHWOstAgUrdO+qZjzdDmYO9ceXsiiYgcMuRc5j7eChWuw7+4mC vS9nYJXd0w7e31bG9CMpWFyS3IE7tO2wHCRlJ+FHwe4pcDlUzLTBrYhBSWsn CiaaKFj6X3cb6LwmSO81pWCV7I30JeVtcELDKPL8KQrmGJ8oapneBgl39B/9 OUjBTjzj+7PvXRsIdGtMCbJQMMmupJt/vdtA9EztZtkEGbtSV3Vp/E4bqD1+ 0jhdTcbaPf9+pBq1waL6hm1cAhkrEslV49Nsg4ZLY5M97mSMr8Vl69KxNvj9 1GR+RZyMPaVdfc3P0AYRGurq9aPDWFZb9sEPC62Qq+PM0+w9jH3WN3uI9beC aV9lvXPGECb226W6LrcV1u7p0kuoDWGNVqTQnPhWkJuzvMFXM4j5i4ol5AW1 QvBPFpnRhgHsDre8GM2tVqg9w77YoDWAoYgVwwv6rVD5w+0ld2k/Zrf90jJD rRUOS9i2NceTMN4Dm15FfK1A4i5/gY70YuGUk/7Nr3/C+dV9fhrPezBS/8M/ vfY/oU0lKfVKZzdGw7cCu8/8hCuUvyLYvS7M0604nHO1BaBr2qLHoR27EMZK Eb/dApEPAyy8E9qwWMYA9kiNFjDJoadM/WzFlo9s6yqKtMBHCzrl49otmGVx udxqRzNY3VY6xaVYh8k/egCBZ5shjFQ0sf92DeYTlhzNvL8ZNA//Jt8LqcJ+ Ty3HZdE0Q6u9W+T7kDKscW2x6VFJE6zM/u7ZdM/CZFpTp6YUm+DHDbncpdMp WLsMff5XviYQZI9Nujn2AZOjCXkcutgI5OejGvZ6Tmj4i/rBlpxGEGhLYtDK ykUKR4y4BeUa4eM/u/A0rAg9d3/az8LdCPUip56dIH1Hks7TS6LUBnCx4ybQ J1QiQqqPCTG7AQzUsobOXGtC8+ck2TLkG2B6Jqrf26AXqf85lWimUQ/SPM2d D+P70LKFCClcsh6GgjvuB0+S0OLhlwozDPWQxhSzyeE5iNTPheUzNfyAuh9/ dOR0KaitKbxqwPAHyORp3HoqP4601y/Ijj2sA+sQ+8SMH+MoMEmmRfVaHRwT YHibbjaBpB0fy+eq1wHvw+y2F48n0e65ViIdUx0wSXSfqY6aRlhScrzU+1oI lPdET/bMoOH3UlefPasFomvvdcrbGRSasJ34z7oWOhq69KR8ZtExdXlnLbla kPPqeJ4kN48ujAw2XftRA5e/FgSNxMyj94nP9zzNqIG05M+VI5vzaPQfy/Ga sBq4mH+d+tB8AQW13iLLudaAM0c8ybZgAU3s9tkqM6mBDReeA9oMVHQ35eo1 Z6iBX1Wdz4alqSjE7Qc6t78GwsP+jVrpUdFHu9YtnKUGXjzqlf/uSEW7bMxm TOeq4ZJQ95W2V1SkamxyNbq9Gh5w6x8I/UJFLw8QmVaKqsFlPekV6TsVWRbe 6/L4UA0T7sfuJrRQkeDfW6/3+VbDuf2XUmsGqehgfTDDqF017Im1k1KaoqJl 4V6GBr1qGPfsqu2jUtF4u6Jlu0I1qNv8vRezREWmfZHj68LVkLQktX19BxcK TNpq0VZDXM2P69w7+psPRfJzJqog3+3kvZgJKirrkYzFWqrgzpce7hESFR2R mZmdyq+CCwu0Mh31VLTb5LZHYWwV/Pot8NEwn4pmtJ5zf/KpAnTB1ejKeyri GDruk2VfBcZRT2Ryn1DRAJNFfP+lKsBcA5ktrlFReeqWwiGVKlh+vtYAclQk kkUj8EasCtjM5Ewxeioy3r7KI8JcBY1qPP/5f1xA9T6Ty9XzlRDNcPf9IcUF dOiyxPvg7kqwbvW/6FE1j5YKrkw5l1ZCxCfWvpWuOXTQb5svNrQSyLaEy9sm c+i7TUfWgNsOP06mdSLNovpTr9zVb1RCdbDk+VOtM+hrhzGbkVwlHHjg4/34 7AzKoK95u0uoEmiCfsn+LJxGcaJ1teO0lXCmXUPZM2QK+TCrJc91VEBwqZds 5p9JlKnHyLMPVcDYNR1y2tVJJP6Q/6N9cgWo8IhkIJYJpKpVnGfiUQGt43ey hbAxZFA4tBkuXgFnohfkXnqNopjAb/QpbBVgPSM4c+j7CFoWkTrSu1QOB6gT up8PUpCxF9IPrS+HHxGv+UYf96Pa6lsuWi7loF0Srmyb0YfStLXJKjfKwY6L s5Wrowe5PVS6rXWhHCylAkaktzuQfDZZKVe8HMjvz0qHxdUh4ZaA6jcfysBS /VAITUQVahDI+tbpXgbiL52im2dLkXQNif7MlTKgOby36upsOuL40y+UxlwG 5PFMi11MhZjJyIhoqEsp0Bxq7v/pWoYNZvm+UrxUChrmQTLtL6uxSHHbYhaZ UiCryUVX32vBWIIin/43hoCll2oYltaHsXfODQcYIRCP3lY6bDOA2fHQegTI I7BUUmU6e3wYM5Z9dyibG4HMhkSelvMIdiX914J3YwmUj+9yv+s2iY2suRnv Pl0CnkXSFwRG/mAm3y521Zz8DtWxIsU/axcxLFi+5qLQd/AxT7smnbWEOdYI uW6sEMH323XZ0aBl7MBkAN5cTIRVyef7T99fw7bOnkpVUiXChleWwPiDdSzR 4EXVvDAR/knTqTg82sCa1zkWG9cJ4JDaS6cUvoXV5rqVLCECaMx0dF73oAUL IYn9a6cJkCN2dPsTGx2Ena7g6TpIgJ/510rXPtBBw2myQwczAcZFhdamGuih 3lr1xcmmYiDT7nMLsmaAvwY1w4nfisHFqs9fh4YR6gmOzdLhxWBOuH4DByZg 8S5588WoGDLRu8OPyUxAys7ejjxZDK/NHfx++THD0pKVzFeRYvhWvaWgP8QC 7N2Mv+VGi4DtHOO9+ShWUOv9pJ5SWwTUSwLnK03YoCvKNgXSiiDsdbef/xI7 EIX6b7c+KII/869Uz49zAINZxLmgK0UgEOAraEzmhMcZtKS78kUQWMFarzyz Cy4bjjim/y0Epdg3splSu8E3Qnya1bMQHBWiiHXjAsDgXpRzOKwAgmMJgp4+ e4AFCSaaPiyAx9MffCRFBaHVrqsw16gAiM4RRSoGQsBfd+F7574CcA5/Y/xf /l446xKU05+ZD59i99WIaIvA2dKjLqpv8mFoUZVI7hOBH4IbwqVuO3w5n8ev v/tgspP3obxGPhwU1H96hkEcLuN+Q22deTAVwJa+cEocIkbpDK4S8yBE3930 8VNxkD/tZ7+SkAdUZpPBlDlxWGD1aM+4kwf3GLS9mSUloNSM0vn9ch6ccxk4 XX5VAi6BUtecch541k01Fn6TANlXr48RGfIgpmjgRk7PDiYHKhjM5MJnBfs8 r00J0I29FsXdngvTZ3SPb4pJwsx/HscWinOhYV5ThR2XBBuh2y0LCbnwSYXt 5AtTSdhT9+7y7he50HX4RrS+syQYZweGGjnmQnnNFtIMkATvCwXmJYa5UMmf zIO/k4Rptqi3p7FcUBPbvS75UXLnj/nKNnsgF15NblOaUiVhtuNWTAFHLux+ JHN8b6YkKNad3pO4lAPHOw3OzaZLwqHCSrP0gRzA6ZUiRZMlYa+AGfRU58AX 9pBnYbGS4GD+4t3+zBwoXxRwFA+WBMetCrWwyBxYqQj7keEuCUEP/Bn3eeVA qmfRMq+FJOw6qttYb5MDktLalgo7+51PDLN+p58DTa3bd2eFJSFBq/mrj0oO sLrH+gn/lgD7t573QyVyQHl/L9eHCgmg2RAMI7DlQEG/88MrwRJQ9ldkhH4p G8aSDwsLXZaA7b902L3BbJB8Vejwc5cECDmfffS3Nhv+B2nW68I= "]]}}, {PointSize[0.02], PointBox[{1, 4}]}}, AspectRatio->Automatic, Axes->True, Frame->True, ImageSize->250, PlotRange->{{-4, 4}, {-2, 5}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{{3.4481959782566833`*^9, 3.4481959977878*^9}, 3.448196085034363*^9, 3.448196343242538*^9, 3.448198486331628*^9, 3.448219993246526*^9, 3.448277761004545*^9, 3.448378167030007*^9, 3.450338191174694*^9, 3.45035327951936*^9, 3.4503578780620117`*^9, 3.450378445455492*^9, {3.4504307090357103`*^9, 3.45043073156185*^9}, 3.450430762911138*^9, {3.45063911119728*^9, 3.450639202104933*^9}, 3.450656436277573*^9, 3.4506564906493196`*^9}] }, Open ]], Cell[TextData[{ "And now the geodesic, using the BVP capabilities of ", Cell[BoxData["NDSolve"]], ". More info can be found in the tutorial in the domumentation: \ tutorial/NDSolveBVP. The ", Cell[BoxData["Geodesic"]], " code is at the beginning of this file; it sets up the BVP that we must \ solve, so as to apply only to functions of the form we are considering. The \ first argument to ", Cell[BoxData["Geodesic"]], " is the coefficient data for ", Cell[BoxData[ FormBox["x", TraditionalForm]]], " and ", Cell[BoxData[ FormBox[ RowBox[{"y", " "}], TraditionalForm]]], "in he gradient. ", Cell[BoxData["Geodesic"]], " uses the ", Cell[BoxData["Method"]], " option to specify a starting direction; in ", Cell[BoxData["Geodesic"]], " this start direction is available as the option ", Cell[BoxData["StartDirection"]], "." }], "Text", CellChangeTimes->{{3.448196352050227*^9, 3.448196353953909*^9}, { 3.448197600932623*^9, 3.4481976785383*^9}, {3.448227630210634*^9, 3.4482276330481977`*^9}, {3.450338198676169*^9, 3.45033836684978*^9}, { 3.450347972715055*^9, 3.450348074853651*^9}}], Cell["We have the coefficients from before.", "Text", CellChangeTimes->{{3.448197684386167*^9, 3.448197688490081*^9}, { 3.450656504383363*^9, 3.4506565072046833`*^9}}], Cell[CellGroupData[{ Cell[BoxData["coeffs"], "Input", CellChangeTimes->{{3.4481966174288387`*^9, 3.4481966181799107`*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "60"}], ",", RowBox[{"-", "20"}]}], "}"}]], "Output", CellChangeTimes->{ 3.448196618496935*^9, 3.44819769781461*^9, 3.448198538601214*^9, 3.4482201543390827`*^9, 3.448233725402525*^9, 3.448277774402722*^9, 3.448287278983989*^9, 3.448378168487854*^9, 3.450338245909857*^9, { 3.4503480809896307`*^9, 3.450348092737471*^9}, 3.450639204248287*^9, 3.4506564364862328`*^9, {3.450656495653071*^9, 3.450656509045664*^9}}] }, Open ]], Cell["\<\ The first naive attempt uses no start direction. We get warned that the \ solution has problems.\ \>", "Text", CellChangeTimes->{{3.448220157301773*^9, 3.448220163885487*^9}, { 3.4503480994239187`*^9, 3.450348106799567*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(", RowBox[{"solGeodesic1", " ", "=", " ", RowBox[{"Geodesic", "[", " ", RowBox[{"coeffs", ",", RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}]}], "]"}]}], ")"}], "//", "Timing"}]], "Input", CellChangeTimes->{{3.4482201692725677`*^9, 3.4482201695764027`*^9}, { 3.448220639435666*^9, 3.448220642170156*^9}, 3.448277911723138*^9}], Cell[BoxData[ RowBox[{"{", RowBox[{"0.000026000000005410584`", ",", RowBox[{"{", RowBox[{ RowBox[{ TagBox[ RowBox[{"InterpolatingFunction", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "1.`"}], "}"}], "}"}], ",", "\<\"<>\"\>"}], "]"}], False, Editable->False], "[", "t", "]"}], ",", RowBox[{ TagBox[ RowBox[{"InterpolatingFunction", "[", RowBox[{ RowBox[{"{", RowBox[{"{", RowBox[{"0.`", ",", "1.`"}], "}"}], "}"}], ",", "\<\"<>\"\>"}], "]"}], False, Editable->False], "[", "t", "]"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{ 3.44822017254342*^9, 3.448220211711953*^9, 3.448220642605577*^9, 3.44822179327938*^9, 3.448233746806052*^9, 3.4482777939474297`*^9, 3.448277912303653*^9, 3.448298149093863*^9, 3.450348113779069*^9, 3.450353633718556*^9, 3.450656458185751*^9, {3.450656496958198*^9, 3.450656509997065*^9}}] }, Open ]], Cell["\<\ We note the starting speed. While the 3D speed is constant, the 2D speed \ varies.\ \>", "Text", CellChangeTimes->{{3.4482981824560413`*^9, 3.4482982085658092`*^9}, { 3.450348152825222*^9, 3.450348153056817*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Norm", "[", RowBox[{ RowBox[{"D", "[", RowBox[{"solGeodesic1", ",", "t"}], "]"}], "/.", " ", RowBox[{"t", "\[Rule]", "0"}]}], "]"}]], "Input", CellChangeTimes->{{3.4482981529128447`*^9, 3.448298197672592*^9}}], Cell[BoxData["1.945147353101147`"], "Output", CellChangeTimes->{{3.448298161012542*^9, 3.4482981982001877`*^9}, 3.450656458387703*^9, 3.450656511499441*^9}] }, Open ]], Cell["\<\ The speed in space is constant -- as we expect -- but the value, which is \ the arc length, is greater than the straight-line value. So we must take this \ warning seriously since we now know this is a bad solution. This shows how \ one can get fooled though.\ \>", "Text", CellChangeTimes->{{3.4482203256637087`*^9, 3.448220352445569*^9}, { 3.448220595695944*^9, 3.448220602372946*^9}, {3.448220667608281*^9, 3.448220677389723*^9}, {3.450348134217763*^9, 3.4503481682728148`*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Norm", "[", RowBox[{ SubscriptBox["\[PartialD]", "t"], RowBox[{"Append", "[", RowBox[{"solGeodesic1", ",", RowBox[{"f", "@@", "solGeodesic1"}]}], "]"}]}], "]"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1", ",", " ", "0.1"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.448220575759083*^9, 3.4482205859832373`*^9}, { 3.448220657596299*^9, 3.448220661273459*^9}, {3.448277926147977*^9, 3.448277930658991*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ "190.1385097650672`", ",", "190.13851983508445`", ",", "190.13851755064684`", ",", "190.13851271680085`", ",", "190.13851702915386`", ",", "190.13852052936667`", ",", "190.13852711907563`", ",", "190.1385261036303`", ",", "190.1385287542276`", ",", "190.1385397850646`", ",", "190.13859126241374`"}], "}"}]], "Output", CellChangeTimes->{{3.4482206456457787`*^9, 3.448220661911623*^9}, 3.448277871959284*^9, 3.44827793100736*^9, 3.448287331646285*^9, 3.448287891725191*^9, 3.4503481421226797`*^9, 3.450656458483242*^9, 3.450656512837482*^9}] }, Open ]], Cell["\<\ We can check the start and end points; they are not very close to what we \ want.\ \>", "Text", CellChangeTimes->{{3.448221795839883*^9, 3.44822182559769*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"solGeodesic1", "/.", " ", RowBox[{"t", "\[Rule]", "0"}]}], ",", RowBox[{"solGeodesic1", "/.", " ", RowBox[{"t", "\[Rule]", "1"}]}]}], "}"}]], "Input", CellChangeTimes->{{3.448221453455625*^9, 3.448221473376143*^9}, { 3.448221813248506*^9, 3.448221814704403*^9}, {3.448277918491378*^9, 3.448277919929605*^9}, {3.4482872871790133`*^9, 3.4482872894189577`*^9}}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.9999469345769846`", ",", "4.0000247170534715`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.003154771784094123`", ",", RowBox[{"-", "0.0015067599356988798`"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.448221815454506*^9, 3.448277920186461*^9, 3.448287289801512*^9, 3.45034820309682*^9, 3.450656458753192*^9, 3.4506565143569736`*^9}] }, Open ]], Cell["\<\ We can automate the error check for the endpoints. The ErrorStartFinish \ function just adds the two errors.\ \>", "Text", CellChangeTimes->{{3.4482778634713182`*^9, 3.44827786919911*^9}, { 3.4482792060795393`*^9, 3.448279209287347*^9}, {3.44827989171491*^9, 3.448279911223482*^9}, {3.4482873193686733`*^9, 3.448287328096526*^9}, { 3.4503482298488417`*^9, 3.45034824665641*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ErrorStartFinish", "[", RowBox[{"solGeodesic1", ",", " ", RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.448277836991364*^9, 3.448277845473962*^9}, 3.448277922853635*^9}], Cell[BoxData["0.003554667421199544`"], "Output", CellChangeTimes->{{3.448277831112771*^9, 3.448277870522499*^9}, 3.448277923359172*^9, 3.448279293691862*^9, 3.4482872973319197`*^9, 3.450348248269706*^9, 3.4506564589617243`*^9, 3.450656515672687*^9}] }, Open ]], Cell["The graph shows that the geodesic is near the gradient.", "Text", CellChangeTimes->{{3.448220239928063*^9, 3.448220292157535*^9}, { 3.448220376941742*^9, 3.4482203773261747`*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"cp", ",", " ", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{"Black", ",", " ", "Thick", ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}]}], "}"}], "]"}]}], "}"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"ParametricPlot", "[", RowBox[{"solGeodesic1", ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", " ", "1"}], "}"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Blue", ",", " ", "Thick"}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"ParametricPlot", "[", RowBox[{"solGrad", ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", " ", "tmaxGrad"}], "}"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Green", ",", " ", "Thick"}], "}"}]}]}], "]"}], ",", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{ RowBox[{"PointSize", "[", "0.02", "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"1", ",", "4"}], "}"}], "]"}]}], "}"}], "]"}], ",", " ", RowBox[{"Axes", "\[Rule]", "True"}], ",", RowBox[{"ImageSize", "\[Rule]", "250"}]}], "]"}]], "Input", CellChangeTimes->{{3.448150723190174*^9, 3.448150767610228*^9}, { 3.448195975978969*^9, 3.448195997155395*^9}, {3.44819652680758*^9, 3.448196536019785*^9}, 3.448277935723589*^9, {3.450430742552328*^9, 3.450430778319399*^9}, {3.450656524798213*^9, 3.450656536252364*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJx0fQd0VMX3/8tms9nNbnY3hao0UUDgSxEUpc2A0ouCNOnSBKR3pBgBQUC6 SBOkSBcIvcoM1UhdIECAAEsIECDgEkKyJJvk/8y8efm/D+eXwznr9U65d+pt c1+ZXkPb9jUpivIsUlH++xV/bq79B0/cN/jWvsF2HT7wH3jLosO/vNts4bvN TDp8N798NpPwr/n4NB1eng8n6bD48RyR8CyBJxKeK+rr8HXRvg7PF/1TCe8R 9OlwgqBfhzX+ENZ+/czIr58Z+fUzI79+ZuTXz4z8+pmRXz8z8utnRn79zMiv nxn59TMjv35m5NfPjPzK/twIa/T7gF8f8OsDfn3Arw/49QG/PuDXB/z6gF8f 8OsDfn3Arw/49QG/PuDXC/x6gV8v8OsFfr3Arxf49QK/XuDXC/x6gV8v8OsF fr3Arxf49QK/igL7V4H9q8D+VWD/KrB/Fdi/ipFfRYH9q8D+VWD/KrB/Fdi/ CuxfxcivDmv0ewnML4H5JTC/BOaXwPwSmF9i5NdLYH4JzC+B+SUwvwTml8D8 EiO/OqzR7wN+fcCvD/j1Ab8+4NcH/PqAXx/w6wN+fcCvD/j1Ab8+4NcH/PqA Xz/w6wd+/cCvH/j1A79+4NcP/PqBXz/w6wd+/cCvH/j1A79+4NcP/CoU9i+F /Uth/1LYvxT2L4X9S438KhT2L4X9S2H/Uti/FPYvhf1LjfzqsEa/Gfg1A79m 4NcM/JqBXzPwawZ+zcCvGfg1A79m4NcM/JqBX9mfG2GNfivwawV+rcCvFfi1 Ar9W4NcK/FqBXyvwawV+rcCvFfi1Ar+yPzfCGv0O4NcB/DqAXwfw6wB+HcCv A/h1AL8O4NcB/DqAXwfw6wB+ZX9uhLn8/0Z+3cCvG/h1A79u4NcN/Mp+Jb9u 4NcN/LqBXzfw6wZ+3cCv+//61eiPBH4jgd9I4DcS+I0EfiOB30jgNxL4jQR+ I4HfSOA3EviNBH5lf26ENfqjgd9o4Dca+I0GfqOB32jgNxr4jQZ+o4HfaOA3 GviNBn6jgV/Zn1uHh/xXfF+4Rn8A5MsAu59f/ymT8Nr8/i7/H7DCpwiYSLwR VvgV0Z6OHyT6p9C/Dhv7T4f+0qH9dGZsPx3qp0D9FKiPeA+0h+U9zDh+HtAP PNgegfrEyP8b7YG84iFAP7SXgu0R4B/koRRoP4UAv1A/HfpPh/7ToX461A9A /QDUD0D9ANQ3UWN9EzXWN1FjfRM11rdAfQvUt0B9C9QPg/phUD8M6odBfSfU d0J9J9R3Qv0IqB8B9SOgfgTs7ygqft06bGw/CtqPgvYRHw39YfloalyPUQDj +YP2I3keyPUZAH0bzw+snw7106F+Ouj3KVAezwPU9/E8QP0c97+iwHmo/en3 PNaH/eKF/YL6owf0Gdzv6bDf06F8OpQPQPkAlA9AeRM1ljfBfWaC+88C5S1Q 3gLlw6B8GJQPg/JOKO+E8k4oHwHlI6A87ie8z6OgfhTU1/cflbBxfn2wnnyw fnww/z6yKx8+ruHT2Nn8/XhLw6eSEQJPJP6pwGvlU7E84rF9bA/WRxrbn1/d qY1PLjPWz2XG+ggrXHQv5w3rp0L5VMAnAD4B8Bxh4IcDv8mAT0Z+iYHfmChq qK/CBn5icL79MN9oH0D+FW6cn1xYH7nYHsxvLsxvBuAzYPxwvDyA9+D4w3gl wHh6AO8BPK7XVDj//FA+C8pnQXkF7iOFGssHGWGcPyUL+M1ixvWpcFgvUD4Z xjsZxjsZ5gvrKwrUB/6SCbQH45MB45MB+FzA5xrXM+oL6vgY8ejfyWWG8m+s X1xfGXDfIpwK8rCiGPvnUB73u/yTeA7ysaIY55PD/sb9ngXjF0SN+CDY32ZY f2ZYfyGw3kKgvRBozwrtWaE9G7Rng/YkrJ0vb6z3aON59YZ+mgXji+cLrjfU /3Jhvt6YPxjvVALnFbQfTdvmw7s0OBvaS4bzMRn2L4f1yuH+kuvBrcOwX4He DIBzYb0Ew3wFU2P5YJiPUCgfCuVDobyFGucjC8Yf589EjeOL6zcI2kd93APy swfOuwTQnz0gP3tg/SRg+yBfemA9JIC+iPKvB87HBKiP+ysExsMGeBu9LNab BmcD/RzOZweMnx30JS/bnl/9oc6/Ea8oRjwnxvMwBc5HL6zfBNZ84X8E2Lgc b6M9y8Pe+4+8hQ4N5qBPoT3BSxqL9qgcX6N9yUPeEe1RSa+x/QTYfygfyH7k fkwhxvLJsP8csD/sMN4OauQ/BcbDyxbllw/T6TO2Fwb7yQ7nrx30Z4UbYT/O J9i/0F/PUb5QjOPBYTy8YB/xw37wA16B9acA/VbAWwHvBrwbxjfAyuXPt1mH tZgTHT6UT7+85wPsqFjfurwl1o/0owSYcb0FYL2nw3ymQ//p0H869J/OAnn5 f0TCxv7Tof902B/YXwr0lwL9pbBdAiYSNvafAv2nQP8puD+hfw/074H+PdC/ B/r3QP8e6N+D5wmB/gn0T6B/Av0T6J9A/3jeEdjP0H8K9J8C/adA/ynQfwr0 nwLnXQrQkw70pAM96UBPOvSfDv2nQ//p0H86nMfpQE8A6AkAPQFi3G+5QE8A 6AkAPQGgJwD0BIAeE5wPJmqkx0SN42OixvkyUSN9Jmqkz0SN9JmokT4T2BtN YL+xAH0WoM8C9FmAHgvQYwF6LECPBeixAD1hQE8Y0BMG/YdB/2HQfxj0Hwb9 h0H/TujfCf05oT8n9OeE/pzQnxP6i4D+IoDfCBj/CFgfEUBfBNAXAfRFAH0R QB/SEwX0RBnlgf/0J0P/UdB/FPQfBf1HUdiPIA8iLO9HKV8lwH7OIlAe4Fwo H0Sz8/k5K+CYIJB3gqixfhDQawN52Q7lbcbyMW4jXoUN9dE+FgP+hBgcrwCM D/ojE0D/SQD5GO3zCSBfJoC85YHxC8D4or1cl4uPSPqF/O3S+s9jtwRMJWyY D47+lCCjvqviD4vyOmxsT+Fgr1EM+ksM2L842i9RH7TDerFTo3zvgfXpIUZ+ Md4Y5Tk/yBcKN8J+kHcwPhnlTz/IQxi/jPKpH+QlhcP9CPISwhivjHg/yFcK N8J+kLcwvhnlYT+Mdy7Ih34YXx+Mrw/GywfjgfG/KD/7QJ5MB9gH/PuAfx/w 4wP6MV45hQXl/1o1OBno9wL9XqDXC/R5gT6Mx0V53Av0eoFeL65fBdarAutR gfWmGOlTZ9y4vhRYPwqsFwXsASAPekEe9IJ86gV52QvyoRfkQy/Ih2gf8II8 iPGrKM/7gD4f0OcD+lCe9gF9GI+K8r0P6PWBPOsD+v1Arx/o9QO9AYhHTYf4 UpT//UCfH+jzA30YL4vyN8Zfon6A8aWoLyggbwWAP8Rj/GgA5gfjSVHfUEBe wvhS1D8w3hT1EQXkTTPId2aQ78wgb5qBP/RHB4F/NwjkQTPIg2bgzwzyoBnk UTPQj/GjqL9YgR8r8BMG8WgWiC9DfQbjQVG/sQL9VqAf419R38B4StR/MF4U 9SEnzE8Y8It4J6xP1KcwPhT1Kwfwj/GiqG9h/CjqXxgvi/oRxpOifobxpU4Y H4w3dcL4YPwpjhfGl+L4oX6I8aaoL2L8KeqPGI+K+qQbxs8N44XxmxEwfqjf RcJ4RcL4RMF4oL4XCfxhvCnqn5HAD8afoj6K8bZRRnlb1SeM/GA8KuqvGJ8a BfxivCryj/GoUbAecHwwPhX142gYH4xXRX05GvQN9MdngX8jBfwbySBPekCe 5OgfQf8FmZfPj4xDQv0wlfjz2ftX4y8D4FCj/0jVn4x4F9jbo43lVf3MaH+P Bn98Fui3ARgfjJfLBf0hC/TRHGbO/5Xv7DLgfVs6A35B30hg+dPXTNITD3gO 79086B8C+jj6qyBeIQHuf06AfvAfm6gRHwqwC/RftFe4QV92g77uhvgSN9iP 3Mb5i4mE/R0J8xtlPO/QnkCjjPSreKO9RdqjtPFU2zeMtwob8RCvGQPnj7p+ jPOZyxaI+dbGPw/m04P2F2JYHxzsO2p/BnkrBuLpML5KHR9D/xTtLTnMCOcy gz0lRsZzyPM4B/ZDLqznWFifimLkP9ZoD4oBfzrHeFgO4xeL+4VA/3KdaTCe d6kw3skAe4GfRDgPE8A/ygFGf7KMp5D9x8H+Rn9uCviLUwFOBv3NA+cvJzn5 54+Mi8DzGf3TsryE40B/SoDx8wI/8XB+JhDjfCXC+QPxWOp5bxy/VBjPZIDR npCgrQcJJ7LD+fRr9r8YlGfxPX0A1ys38ofz74XxQHsF6uf4HjMA+jrqV6iv 4HswlOcdII84AB8JeHhfFAPvp1TYyF80HZo/viEajPJCsrbeQzU4ScPL+YqD 9RIL/u1o432vnl/G/ZcD+zNH3js6bFxvOl6D8f7OBjgA+z0O/QnaepPnTSyc N3Gw3uOIcf0FGfmh8N4gJtJ4HnOAFbif3pD3FN5E0Kfh82A/5kH8kAP8BXbQ 3+2Ax/cbDvBnoH8D34NEwv0fCfJBBMgDERCvAnhdX9Hmg8P9z+G+U+cT4oMh 3kmh1vwf7VyLUejpfPQ1HTauv1TNvirPg0Q4f+Jh/aTA+kgC+CGc7144v/F8 lvdbQfyQsb14Xc4Sv8kApxLj+n8C8EOAkX6M/w6H+XEY/S/q+W70n9kADqMb xHjr57XRfmSnvnz+7+p4o/8rzNjff/FOhvPez0rnj69855EB93MynE9JgI/T 9r+2H2NyQP5AeSYC/H/BAJtgfQWBvprIjPs5Ce7PJGI8jxLhPkoE+RLnMwn8 deGwHyNBHof3VCpsbC8Z5JckYrwvU+H+TIH74iEz3i+pAKdo+Uksenkj/fi+ OQz0R4wvxHg44FcdD+N5FQ7rGd9vpwJ9TyD+0QHrG89PlDe8wJ9Cb+e3F6zh s9iI/PGR91wWqyDWtwanMZAH2bdiPDU4FeTBVPJZ/np6rdGTS8T6k3J/LpTP hfnOJcb2Q+F+slNj+3ZqbN9Oje3bQX/B+i6o76LG/l3QHuDV9WvU7yKM7avy h6F9FTa094Z8oihG/3yQcX/r8fAF/mBRX8I3WT64UPJ7nxj1L7yPFW48j1G/ 8oL/XQH5Ope1EPzpcEvBv7wf2Q2x3rT2smA95eJ6Ysb7KhnKv6EvEYgvhfMi mcB5APdhMqzHZGI83+H9kZIF9qoswOcCPbkE9hsZKPYbkTCMD9zfWbA/soC/ EJCnQ6mR/hBq5DcE9pMN5BHUn+xwXtiokX4bNdJvA/kSYYxnCIf+wqmRP8S7 gL9woCcc6AkH/sNhP4cDfeFgL4ow0qPqM4bxfgOOgPPBbexfhQ38qPvfML7q fWngT4UN/KmwgT8VrpxfPlmXL98WMJGw8XzxgHwH799jIJ5GlX/hPGdwnjNY z4BXuHG8FQ77C+67FNjfqgZmmD8vgfuJwP1F4DyC/RkgcD6BPIv3UQD6C6HG /mzU2B+u7zBYvw7YT+Gwf13USJ8d+guH/lzUSF841HfB+g4D2AH0OYEeN+wX J5wXkVA+wkivuj4N9Krr3UCvijfQq+KN90EE0BcN/EcDv6jP4nqS788l/iHI k/hewwPnOeR7iAF/QYzUHzV5VpXvjfsP7fUc7rc34rtgv8J7WowfQ/u4Chvk fx5l1HdVfV6jl0t6oT+kF/YTjifykwL3rQf0Tw76YAIx6r8JzJtf/qLgh4fB eYT2CoUb5aE7YG+Jpjfz50va2/OY8fwMg/MzzOgfohHG+EAVFvqH1r43CvwX CjXKY/eIEX4AMOjDqO/GyHEt8LfVzK8fr9En7UMF+pux/SRYzwo37ieFG/fT G+e3YoS9IF8lg/yO9uVk6B/lKf081mEjfVmgT2RBvrgskOeywD6dZXzvps6P kf4QkD9CQf+zwfkUAv7oENA3bHB+2eB8csB5ZoP7AeUvB+grNvD/2gCP8o4N /L82wGM8hQ3GB+UzF8Bu0C9cALth/MJh/MIB7wb9Cu6jGPDvx0B59X4yylt4 H0WC/IXyTjTob5D/SoWN4w3+dRVvHF/MbxWA+ycL4iMDoB+h/z0d7qs0yL+a zozrJw3ysaaD/p8G/adD/2ngb0qH874gz5rEG+cD6UsB+pKBvhSgLxniZVPA XpGM/jCgLxnoSwH6koE+D9DHgT4P0MeBPg/Qh/EPCRCv6QH9LgHycXpAn0wA f5AH5OEEiI/0gDybAP65FDiPU6H/FOg/FfpPgf5Tof8U6D8V+k+H/jOg/3To PwP6T4f+M+D+SYf7KQPuh3S4PwririTeuF4yYP4CMH+58L46lxjkDSUP6AsA fbkwPia4P4LhPDHBeRwM8UomuE+CIb7IBOdfMNwvJjjvguE+McF5J/Vwt443 jl8wxF9ZgL9QoN8C9IeCP9MC+hLe35hv0wL0SjnVreON9IbCeIfBeNvhPguD +wzzQDqhfReMRwTEq0TAfKG9MQLmKwLurwjgPwLuU4zniwL7RxS8z48Gezfm RwR9Lgb8a+p9Bv5+jG8C/1oY+DvQn2ijQgB+rI2HzfiehrvhPQ/EC6njYbCv c4h/VO9zgz7EAVb5NdaH90UYj6LLDwX52oz6isKN/kTwZ+n6gGavUfWRt/IV tMOivKqPdMpv74bGP8Zrp4J+9wTGPxnwSQBj/ASH9xuc/Jo/Hqc1fckO/qlU 8Hc+gfaSAZ8EsJf1y4efaeOB7+ld4B9BGN/bozybC/4jhLNAPsoF+zXCWVL+ 0Oqj/JYB8QlpYL/IADgN4idQ3ssAetNAXsmA/PnpYM9Lg3z6KA9mgH0f/UUZ YM/IAHkL8WlAfyrQmwryVCrES6aAfzYZ+EsB/pKBvxTgB/0PqUBvKvCD+GTg JwH4SQB+EoAfD/DDgR8P8MOBHw/ww0G+98D65BivC/IWB/mKgzzH4f2NB/wp CZDv3QP+kATQ5z3gH5H5i/R4PJAXk8E+lQr2BrQ/pAJ/ycBfMvCXDPylAH+p wF8K8JcK/KUAf6nAH8rD6I/KAH7SAEb5FOXnNLDfZAD/acBPOvCTAfygfJ0G /GWAfJ0G/q40kK8RnwHydRbQjzDK2zlAXxbYJxFGexTK30FgDw8Ge08Q3CdB gA8GeTYI7EEIB4O8awL7dzDI70EgrweBfwzhYJDfUJ4PAn9aMPgTgkCeDQK8 rg9o/KC8HwLjGQrjFQJwKIwf+mdCQF62gL8wFORlC4xHKPAfAvygvQ/xoTD/ aE9D2A76gg3GG2Fdn9Dqo3/GBfSFgz6B/kiEI0D/igD7WQSsxwjw56B+4gZ9 BO15boiPRxj9seB/egNG/SMS/LEIQzy8Kr+Bvg5wDuRby2UG/4GKN+pbCeD/ SAQ43qjvqPK9oT/qNvonKLyXUPUHg37EMR81+nswn6SO18YDYciHqrZv0K/U /q8JeV/XP9oKfVHXD1fklz9MJN6gj6l4g79HxRv0By/411QKwJ8A8nEA5OkM kG8UboQzIJ4lC+AAyNMZ4O/OAvkL/eEBkNcyQJ5WONyXIH9mwXrCeJoAyHMZ oI+hvO2H8fHB+PmAXx/Io6nATyrImygPY/0EqJ8A45EM8moy4FFeTwD+8X2T F+VpkGc4yCv4/gHzo6I86QV5MBnaT4b2UV5FeSwF2vcBPg3680F/aSDvoLyJ 8pUP6PGDvJUB79szgB4/9O+H/vwwnhkA43v8DKDPD+MRAHqDwL6B8VgKyFMB oD8I3kug/KWAvIXyFdpvg0B+CAC/KB/lAr8KvF/CeBaUh8wg/wTD+41gkH8Q DoH3o8EgD2E8mRnoN4P8YYP5QHkH39eHAt4K9FlBPkJ5zQr0hQKM7+lDgX58 X4/+2zDgT38nrfNnxIfB+gmD+DU7wA6IN8f4Vnwvj/FudoDxPT3Gx4bB+DhA XgwD+Rzt0y7Ag/wZg/ZTiJdTyxvHF/NdukC+d4E8ingnrH8XyKcuwDtBnnVD PJUL3mtjvJUT5F03zCfGKzphPbsAdsL8uQB2wvp3wvrFeC8nzK8LYDfsBxfY p+H7VPieVkF5HPwHKK+/Ec8VaZxvlN8V9M9D/joVNsZHAoz5A1S8Ud4HWKXP GF8JsBJp3E8xkO8O3/vq+Qkcen0j/1FwPkA+AVUfMcbTRRnXM+LV+sbxAFiB eHQVNvIL+fQwXl0tbxwv/P4M5guQ+Xf1951wvydo8oKE8X1nKtiD3pBPwB/x GuBsgAMQ35bNjPrXa7C/or3aC/UTQR7n0F4swHH4nlee+xqM77HigF8vvBdM JIb3TNwN7wMhvwW+f1ek/qvRp5Y3vu8GWInH+GHMPwD0eYz2N1VfNPizVNhI P7y349g/xlcGjPqpqm8bxxu/35sK/hYfrM8n4F+KBTgOYIzPfALxBKmg3z8H GMsnA/4h7I9YgOMAjof6HoinfM6M9sEs8CdkAR7z/dnhvAoH+TIczivILxoj v/9T8N4Z7CMwf/HG99c0AuwF8J5TxRvX33OYnxSIt3wE45UE+IfEGJ/+HPxt DyF+PRXsK3mw3jD/Itoj/KBvK9wo3/jBf4TfOw9AvpAsgP2gP/tBX1Z4Plp/ j/ca9sdz8Gf5gB4f+LN80J8P7BU+OF990L4X2vdC+15oz4v2HcXYnqIY21MU Y3uKAvkJQP/1gv/EC/4SfJ/gBf8N5udLhvZ80J4P2vOBfukDf4oP3mc+h/7x e8/oT5H57uR7ykygzw/0Yf57H+SDSYP4rzTIn++D/D1p4F9DOADlswD2w/j4 QX7AfH4Yf6yAvIr5+7Ig34If3pNkQTxaFuTn88P7yCzwr2UBXgF5DfP3BYE+ oIC8poA8qsD9bwZ+zaBP4fehg0HeNGv6kPYdwZhg0JdMoC8FA2wGes1Arxno xfx8GK9tBfqtQC/aD6zQH+bTs0H7mC/PBvkwrGAfssH42WB8wmA87ACjPcAK /j0b+Lcw/hv1eXxvHA7tgX/mjfc/GF+tf7dZtEfh+8TqfW+cD/k9Yw3PwX8U A++H1PKG9aWWN45fBLwnAlitb5xvjMeW9ITp9BvnG/K9Yby4ijeef5HUmB8K vseswsbzLxLylcD3l2MwP52MH5L74TXICxzkEw7v42OhfiLYjzPgvM0gjfLX wwsNzgS8i0bmb9C1ol0vyPNvfL80C+SxAHy/JYsY4veUbPCHYT6ECPB3uY3j r+oLY/LH55mAaRR15/+HR6fXmL8rEuLDoozxhBTzZeH3MG3wHhPgN76naYP3 RgDr+TwL8mkZ9Z1cyLcVC/6cWPn+R4MPQL6aWLgfY0H+PWDMr6SOl0He9mI+ 9DiQ5+Lg/dFJ7B/Kx0L5A8gf6MM6vZI/0D8fwvuvOJDH4+D9/Elm1Kc8xBif GQv2+Vgt/kXCB6B8HJSPg/InIf9GPNAXD/RdA/3zIeRHSgT/XaJcdxp8kxnz R9iN8arq/fNxfoc3NH08jEbn0xOvw8Z4VsyfYjf6bynAavvG8zsA+Q+zAPZD vqEsY7ynev5BeyB/ZoF8mkWgPpS3wfmB8aQ2+oU4DzQ4G+JlMX4Tv1+E8ZgY b4nfR8L4ynTwX2I8I+ZTR38sxkdi/CDGC+L3idC/ivGJGM+H8Xv4vSH0f2I8 HcbPYX5x9Kfi94MwXg6/H4T+Voxvw+8FYTwbfh8I48EwPgu/n4PxVPj9HIyH wvglzBcdAvZq/P4N5DdA/wfG76iwIT6eR8H9lIffv4XvA+YSKA9wDnw/UIH8 TArku1GM9z+H+1ndj7A/ifH+hO9/qPdXZD69a/X77HI+LPPHmuC9g8ko7/Ag Y7w9x+85hsH3PCCfWQzg1fPReJ6j/ToT8oVlwnu1LDhf8HsbfsjPkgUwxqf4 4TxAexGezz44v9MAxvPLB/35oD+MF/FCeS+U9wJ9GO+hKMb6imKsryjG8U6C 88gL54MXzgMvnDcYr4HxGT6oj/aTdLBvpEP7+H4Z4xMU0O9kfn8ZD6fA+YP5 6cyQD8sE/sxggM2gr2J8gRnOJ4wXsIL+FgryQijgLdB/KNCL+XAs0J8Dxgf9 +244H90wvm5N/36pnU+Yv90F8aUueH/lAnojIP8LwP/lO/z/x1fFG+KjVLiV 0Ne08wj0S8wnHgP+vze+T5wN+tpr0CfjQF7GfN1PIL/Dc9AnXxHjeQv5FtTz 0HC+qvKk4fxVYUN59fw26A8x2RD/FYB8eDnw/iwH8Llgb84AeTODGcZbPY+N 8CvQb31gj08D+30a4NMZ6N8Av0L6wN6aAeeJnwB9RjgG8nPHoD7tNurTMS7w 50F8AIXvmavr0aCveQEuHWWEMR+/AvlLKLwnpICPAXmFYv7TKOP7Owrv8yjg 38jPHQD9EvM55gA+15iPLyYS8iNEGfULtX9j/C/YHzjgMR+5up8N/KP8ppbP zV9vGn+lIV43xgTxuyajvKTKOyvy1/dhHRblZD6GANgfVoN+v1rqCUdkfcBj fa18Qf5t432dDPJPAtjDEuD8SgQY9e1z4I9E/+Fj0O+TwJ+I+VAS4L13gub/ lfdvIsDxYC84R4z0XWbX8ts7rZ+HRvkR30ti/mtpt5LwfYDvoHwI/o9guA8x 3g3zSduNsHpfGefLC/7UJICTMX8y2EtiYf5WG+0Fb+SrjwN9PQ7W20mAcT0k gn0K4zXiwD51DvxzcXBfxsH6OgnwOWLMX5TLDLCq3xjOjxgb2Dfhe+vq+Bv0 Dwr5kjG/0eooI8zhvlXHx3AfqPqeEVZom3z67mntK3Ry/oDc1mHj+o2H9RoP 6/MyzIcX9huH/cZhf8UCjPa51bDfEoz2Mx4G+qoN7N9htIHgV1t/YbS74FeH D4vx12A7vP9OgvWdBOv7nqYPWjT4EcAP4Hx7AufhEyj/GOCn4E9PAzgd9NFX upwgfjPA3psJ8U9STpH8vID6yVA/CfAJgE8EfBrstxfg/84Cf/drWD/B4D+S 9hupPwVBfBXEt/AIo7+Lgv8nBv0/bpDX3bAe0N6YDfIqfj8hHs7LeLBXxRNj fvVgsFdAfmlVnjDkG/OCfKTKd4b+Ocg3Mfp3prT+E+D8TITzOBHWVxzEz8j8 +lat3TiIL4zTx1HrD9ZDPJy/8YBPBHwi5MMNBXnLCvknrOBPzYD4qlR4H5QK +ATA4/uYBCjPIT8aB/slh/iCZCiPcBrEn+B7B3hvifHTb+gPuWAvygV7XQ7o P7mgP+Uyo70Pv5+UC/b+XLCf5EL8SS74G9EeGQz5QUxgj8R8zNlwX/lBf5b5 vaT/OR70Y4x3xe/pxMP+kPehPG8iQT+CeE8KeOU53C/P5fmpwcnQfxL0j/JZ IsRjxWvfn5T7UeZBl+NzD/ShCNCHIoz6DcfvW0fA/osAfccN8kQs3D8yvlPC q8GfFgvxQrEEykN8YCacDxjvhO+1MD4oC+KJQiB+JATibcxgH7KBPclGDfYC 9Twy9meD9wuREI8B8RcU4/M9MP9xYG9NJwb7mPJKnsda+SxYX9kAB5hBHo0x QT79YMinbwL5XlEM31tQ59d4vitKU4HX4NXwPe0EiO+O1+y3Er5MjPs5DuJ5 46D8OfD3erT1VqDPGddPBsB+OP9ew/mH30vPANgP591r+D5sBny/ORW+35wK +ATAJ4D/MQHKc+iPw/pPBjzCaaB/BsF7qBCIN3aDvonfh8PvNUD+Jgr5XJVw gB3gfwL9S9V/jPqBvC9kvm3wJ1Hp/5PyTSbY97LAn5MF33dIg/s1DfwjueBv UDT7j3z/oYD8GQ6wE84TJ9z3URDvFGW0R1O0z6I9FuVZjGdONfIXA/ZICvFo en7QAvuiYb442Ms4vneJg/vrHDHeD15NPi24zyB/l2Lc36uN/kcO+rf+fkrP Nw3tX4b2vXB+3AP9LgPgNNAHX8L9dwDKZ4L+HAT5QWR+QOl/QH+3WVsPWtya Hh8qYTPYiyLpsHx6NJijPzrSWF+PB8zS7yejfJJtzM+grgejfBAJ8UvxcD94 mPF+OAfrMxZgRRHjU2A/MOars0N+6Eg4T+B9jLpfjOtf4cb4lTywf+aBfJYH 3xvKA/nTo+kHEr5sjPdSwB9O0T+O9PmM9JSG75vEgH2/J8BvxNeB/Efh/Z9u D5TySBLYf5Ngvb8C+Y5r9XH9F3x/wIhfTYzrPQjkLyv4A60gj7wG+SbLKN+o +8V4HoA+ru4343kfCrAV/AFWiL/MAPkh05jPQz3vjevVAfpbEMCK8fxV7zsD vRTyg6jzb+AXv1+n56PV9R2APcQo/9lAHwNY/x67PG9MNDj/P/z6+Brl32Dj +aOvN02e4JD/5o3zJ8LYPp5fKmxc35HgP8N8kgo37A91/xrn0wz6j/5OWJTv Cfuvp/SPyf3xEPYPfr80nhj4U2B8YoB/FTaeD8HwPbBgiKcLAn+iAvygPJ+I 8jl8H9EG8Yg2OJ+CYT+o9GW/1bzkYV1f4I36NDuV/Zvc735Wb2raLfezgnz5 XbtXOl91uEnHX+2TdiioX0H+/As9tjw7/ImmL6n45NEJnZuNKsinv6p8qZUT R8n4KIVfP/rs1tFnBe+x7rc40ft+4YL3ib0+KNf7g3IF761a2Ma2tY2VdlMf G5wyfUjKdHkf+9jD0uWdI5IsWnkve7X9bf/2twveSwV3fD10cZ7EK8roYY6M 0J4F752gPoH6BOjT7anjMm/O6rPvHgF6CdCryxOyPNBPYPwJjDeB8dX93Xtr thvy1UqfHp8uYRhfPZ/0wMD+xqMGvibbxXzo51mimC85P3r8hix/Scw3lfj6 Yn3o8KG7G7MnHdL1S1rJNn1hzwry/jHr+//9xCr/NAtT9Hjwaq2a3Sujwpnm YZ8rmQXvX7qcqH2r81w5HlbaJP5ipbFdTDqcFdH0dm9FjoeV7ux2a2+3WwXv W6T9Yu7S+2UfD7XS4S+SC38+RNJT8J5l9ucnTrWuaNX1/2t//7CrWYxVjxeR sBwPWV7qu7L9SiV2XS5TSfLvoDl1rhV63k/Gw7jpnEJTTgdKmqiE+7bbbYv6 piAvcr1//X9Nb1nwPnlq/T9n1P/zpS7//dHyjPpPrpeC/P+dP8r7ecAHbrq+ VOWsY2slf9G6PrK38M7f7jUueF8h4SK7qm93jizIz796SNle5qV2viTo6NbQ 5n7Wi9V4sWugiafMLV7uYG0/u/m841/UHWDZvj/XfzzXz+5Ymq9pwEJoxsij 77V68ZrdOZeRNsURzKc8rPr+g/Yv2Mm6Lbed2JXDyu9dW+vbwAs2Z8/ghXsG pzF/Tiklt5SPjfeUKNFuooVWuGI/P2iDj9VLOfV3JXX/ef6sWWdZES9rVX/8 t9YHL1nQ/6KPXPAksZQj2xo/UfdvQrOQhJzUeaxE1drJJ9Tydfb1P/7Hubtk ScTRbYu/TGcTjz8sNepWAom9uWf5J+85+HLTjF77Jj0jl/0Txtf8NJiXK3ah Q9wvqeSTdVsSekxLY717Xf2s09J/ScnlTUeMmWuhI9/Knbcq7Tn5+JOsdQPX 2fndt8K+DlmbSXb8Uv/AjfEm7pmwMOf4lkwS/vO6+e3HBdi4B8PK7C2cSb7Y 1OvoNYeFLthQ+fzYXzNIcmrUx+tfvSYth0Ys8O3LJUlNM0tU+yWIzmfDarY7 kUsa+nO9y/LC6PgPjjZrRfJIk/dGbKtzwkXrHpsxdNPiPLL2Zt4ee4NQvrv0 6mOFNgbTUjlDjq8o5aITS5RpvqlOMM1t2LTzv+p89T6lLKhyM5T2Kbd5x7O+ 6v7ObWHxPAylqYO/XrB1RoA97dHX98e0UBpWNbVMrzE+8mu768/P1Ail60sP WrK0iIUu+m3ytPXtQumhvjtanToUynOnW7ouqmunZ2etKTpuZhgd/dWcQs0+ ttPBxVvNGdDBRUuNXdflt2/t9F63+7V3f+wj0eNPDLhQ1EVvz1y18cCAbPJl 1/b/0FwXrXQuvXev/5nopg/GFNn3yEVZiYXP+gdbaNjNuxezG7po7fDgz0/2 t9Nft75zamu2i7Y+82Ln4YsWOjXuRomkrAj64cZx5XubXbT8P599/XRBBN00 dYGz76klbDtd1KTG0yhauk/k2M0dXpOUEEfkq1lR1NzwTOchnwfR+xMPNOEL o2jTXf8ubHU0jAbdaeprsDuK1njr+/fij4fzZUNXNXgZHWAH3gmptOR0OK8f vH/U2GRpZ3Tze7aDnYusCrBDu2s8nd35CVm/6uFHK2dks09EfbpRq/+LwLM5 Ak+gPHlrdOcmuQ3Ps35pDx9tXhZEb43Kh4mEx7KHo47NvsJ++nrFt12eu+nW joeqhU+9xM5U23Kg4is3nS1gIuGOojyR5ecsrLF4RmY4Txp6cPue+5G076yi j67Eh/OfjxTf+3Z4FE344qtum394yq6f/HB6FVOU7v+O+XT5k/KXo6h7wZVF xUo+JWUS42vstRbk65b45aJ9mqi13/i+Kev4YF2/5/I87+A+1z0yMoxau5/d 0O2sHlehn+8S7++Wj9flU/HrOZKc/etvw90RdNC8C++lJRe899FgKuG+K8f5 K1138rBa1f938SfG+giYarCuvxV+a1tsxQcF73Uk/EnWI0cRtfzNL75o8Vdd jvWxfb298dZ2loeng+jBpKF/tjtyk52tm9hwWaqij+f9o62rHRoeRG/MaD0x 1XqKDWpx7vnEcnbadUCTQ6POOvl3JR0pF4YmsO2HfaMDYxz8xyNXf64++Rgj l3r+Omusg759/9cRFaL+IlsFnmp48nmjnL+VgQ5+s3jUT1nFbrD1Z+v0GzDI wacsWHv2XsY19lnLWhc7nXPSB4Wmbhn863Wi9UdHiv7IiYq+emP2O+n2xXEJ JabcJ02rpny6ZNhfZPeGd28/rW6nywS9RNK7YmPGpZYrbfy35nfv/LzhMXOY l1QpssPGrw3/N7HKWw+ZXB9X/mlvrvwqjN7v16hs0F35HT079fefbxkw/7ku /008Mt89NUF/f6v8crfPjCrH9XwiBMqTMrd217u1+5l+n0t5eemX71/7elqB PndQgyW+xZ8rGvrU80a5UPrd3/s91e9bWb6vhm99jbv2j7HyrJ+G/EGq5bDc RcWib3UP4VnHK/fO65vDcgRMlRMCbi7KU1n+nafDl03bZKU/dJnhSCmXzeqv 8a1/Uc/JKxfvm9QvNZ0lHFrVanFnJ7d8UvHAd/fSWMfg2WNMH9t4QqORn5vf UfGX49a/rGvj1nnele2vvmTtBJ7e0PANRHu0ptbe/ULBuxZMyGUHl31nPbbx CbslYCLh7dYIX6+zuaTWxRLvPrv/gPl/HGL9YmIwfR4/pUTRGsns8FsVehxe YaPFv3acd615zNZ9Gj585xInZYO2259FPmXVu+1p+cOaYL5rZMSjMYuvsaPx VTtUbJfHxizpdPnbry6zQRfcw8auSifR60e7P2vP2T6BJxJf+ePXOed65pG2 Mz0vlq8/y6qJ9uhqrb3uhXsHyI5g2vyTb89/v/gEK/RDg6jf421004wz07/y xLOou3UbsEQbD5zbOmTWs1MkSuD5JIEnPUR9XlrUJzVFf0zrj4wS9DGNPgL0 EqCPAP0E6CNAP7m5qGbtMrudfFpWkz32OclkrRg/fkCMH3k4vcK+0G02nlh+ hKnvOw+JNt7cIcabBMR88FQxH2SfmC+mzReB+SMwvwTmk6SI/ugZrT9YbwTW I4H1RmA9kqsCTy0a/pZoj+Z+LNqbGjmpU0/1flxR6r2+15OzybIKnVvtUe9P x9/dZhyODpByYj9wbT8Q2E+kW2ysf/rGh6xcq/OOFo9zCOwfAvuLzBb90Vla f+PCD+Z9WTac//P02PePJwfRvCa9b29oHMbz7uwLupxjos8Sx92cNMPMPz/2 fqm5GUH0X25be8cZxKuNrfVBTmQQTabTM/rOUfjpcXtrHZxgoo2i31pY9l0/ K1s+eli1YUG0Lxve9nC3THb4RER60CcmWk/gicQ/Fe1R2V666I920vqr02Rm qcPfm+mWe998Vtdtot8Jeul5jd65DyIPFU1y0HfGVu1W8ZCJ/nt3VZ+t+5zc FUgPrVg6hFpn7/lpUTcn3/h6ZZF7Cyz0VaOs9OWLbfyMaf2AoitD6JbN/Tdv 7m/jo36po/6z0HajJ79dYlow37zh+bhlUSH0ZdNvfim0OZc9rvps2OsBIfSp gImE24jyVJbPFO3TU1r7Gj3UqdFjvzk5XP3H/8m9cDb3go2aJ5++2GqAlX+6 /Xyhd7vaaHKFuvHbvgrhtbu2eDijjY0+cITu/9dn5k0qleOX2obRRwJPa2p4 RdSnsr5LtE8vaO0fL1/uy6odw+mHK+sv2fdlGLV8cCawUl3Pp55Wq9d8npMO evj9zqw9Nt6rcOwff/wQTm2FS3yW8a2NNxm5bMLY+k4aUaJvcr/t6eRQ3dTg Vo5w6vj8rTrF7+WSJWm3xk+YEk5rk/5Pd60Lpu1rZc+pWzWcDhPt0S5ae40b 01Dnp+GclaxctsN5Nx0zZnO1sVWs/ErZ5u+1+8VNK3/euUl0tTC+bkqtu9bR EbTk9v0tJmwx8/h1d50DVXnMd9oysvgKM7dltl14KziC7kmeeqv0TIU799h6 5taJoB3/7Tdt28hM1nlaRnqrMhG0mqhPz2j1R4j+qOyvqaCHco2esSlFD2w/ 46Atio+e9+U3ETS5z1+F7QlWXjYx7ca0O5F0hMdb5FmLEF69y4hDtdpEUa/A U4m3jy7248NOVnom8eR7b30VRassfDV7SEIyc80/ufbze7kM9icrKfBE4lsJ PJH4lnPOlf1rgIMmvtM/JP6tGyTL82L1/wY56JN9v/Ujr64RqE+gPrlg6X34 w6d/s7WLuavsTnV/tXl3YPcDN0mmf8WXFVV5qvVirzv7zgPWbn7C6N593LS+ gImEB788t71kuTvs8w/nbSu0IYpeHr/q0fhV0t8Y0P2BS8O6tz52NodV+i4f TyRe2tck/tNTjZ4/u6zn62INBSzlUgLtE2ifQPsE2idSvv133afDXtS300en gubPtl5k/R0+T50bBfK2eeS8RsXV86Z/uWGm8sO098dKEN0oyhNZXsqb333T xl1Klb+mzl/9v7KntPf8qvwl7R1dYq9UqTgii20st3Ner5bSfhJgLf6xXl0Z XpA/jvxtejCyckE+6JQNWbd+zCjI9yztITVGduRLVmex7QeeO26+ztLHO1mU pxJO/WJa3E5nQT5naR+R9Pwh6NHLP3v+35+MX/OzOS+OVWg7uSAf8985fRKc Y2w6rPtX+e2FK37xsYHHCg86VljGTaazg7Ovk6Fu+d0CHwut3OvVoyMWrX4K a9H1oylPikl/uZfFTa0bN/WItKeksJs3Wwe2zy94T9d/2rvlqFf2ryh9mu95 /9KGgvd0E1pufdZ/RJ4O5waGlby0q+A93V5b9bkvjhXkr+Nr91zefUr/fg8B egj0T2A8yDlBr+SHwPgQ4J8AfwTmn8D4kV4CJhKG+SGwngisF5Ii5l+OF90g 1ou+P2C9EFgPpI5Yj3L8tF83vbF35sJuKwJkhn3wj3Y93luhX/LOQd+GFOT/ lfEPsblPduQ+CabfFnr6090OMu7GTH8esLdEq+d5OizjJ2T5aosG/7A8qeB9 3q6Pl6v/CvL7Jlb8eU4R6V9Q9ZNDMfYDMbPlfBTk861fiO0fXTaUJkZ9cHRw tsJ7XPrWoiSG6fa4UcuvZPaoZKE9S/78TcmfpX3YotvnJL6TwBOJ3yf6oxL+ MDl8/Kd35HgV5PeV/f89s+czr68gf682ntye/6eWC0qM4n+5dPyj20q1dxrJ 8g7aJan1on++LcjfW1fcp/xL7T6tf/9Wh0uT/WxgDeXXCfvDaLS4f5m8f4uJ +5nJ+zm8T2zMnakF7w3bVlgYumOajH8pyPdzSakXuuacnXYU/VNZXs6XsM+o enKLny3Ta8p4m4J8v5nP0uYNrmGX/Ov1NX51+Omwy0+GXS74HvihPV/Ubvlu QT7fr6c9uWBJlPaOgny+Ha73WJVew02/P1Zk4rElFr38mrcOrXmrdkE+3mWd T63Ztrnge+Jy/i+Nrdz1Vm0V3+Hk7x1Oyvl36vMv8QsEXo8/WSnapxKeIPrX 4X2Cfh3OfNv+y8Wdcn249fjkXhr9Yz/yVnm8Q67nSOpL9F+YM1Suhwjacsqa d4ueCdXhT56XPzEm1qaXn2VyvC55RZ43BflmX5SrQp+tjKBNRX0q6x9NW/Zd z9EF+WS1/nR8Wucyb90fKM+XKFpk0Z1VJ9816bD0fw+aW+/XkY8K8sGuqRL/ JzVF0U8qhdgvjpZ2vCg6teWsInF/yPyM0bRom8n86FeZTMLSvi/rVxf1iawf JfqnEj7VvveWjOFyvUXr622MRs9zQb9efm7GYOfcBgXfY7eun3uow+cO3ueo Y+QXT5LZxH+mLWnpt2h4D1t+cFXxNiMKvr+eI+QrLuWry0MjalW5ZqPXnN/9 8OmteDK90k89yqlydN2LjXu/7HqLvCR0zrClTnr9bs/nMws9JS+eV4y7MtdJ dx0ecKK44xlJXvu1P2ukj4xesKXftOWvyKTLiT+4ZjwlL3cuWTEqy0Ur/jQu ec/ygvefnefu+98fNXxs9pG8jVX/l8FSRX2m1WdwX7C2ojyR5aE/1kjYq/hd Ya9i677oUOOoKn/NObtu6bm6HrZE8E/leIA9iyW3/2Zaj7EOWr1vqwkjnH+x vFO+RRfHOOjzSldT1sccY48Enmt4Yjqdj+canoA9juyIO7+y8AeqXOGKPnOl UgYB/vTvkUv7X5Efmk6uMd7Hxh0gMywfhtLHwv7NpP37wbAKj1uOvssqf8Rr DjzgpqcETCQcNut5q6hhTt6na9ER1jaRdO7KoNmd3Sp9ezy/lW8SSY+N+nH6 y2EF7zcd/sIdRi95QN6ZOvDq/K5RdLYoT2V5p2iPfqO1FyfqU1m/rJhPLucT 5FuUf8nboj8m+5P23Taf/P7z/h+jqKnjf+eR9N9H6fbdIjVbNduu4tPyzysZ b6THN1Aee771i1UBtueTKn12+wvy1XaZE+j95zg937/ydqeD1Q+Uc/CVLTLb TBj3jA3n5Y/V/dDBZ5Wx/9Hu0BNWvdeJRQ33O/mW65VCBvxwn5Xx1D8dfsLJ U2L3f9uz/V3WJrPeh3+o8lq84+/LrxbsYUUG5F26drMgX+0I+/Nbn20oyIda TPRHtf7IENEf1foj3+/+YcjT9g7aJP2U6UDl+yRE7F+q7V8yTuxfOZ6kk+if +sPz+yclRf86/h1BL00T9Or25eVfbV41s7Kd3h5iPjnznI1braW6nlySqOen rZBz6rcV27IYyFMoj+v5XW5o918hcd/q9vjCW96jazrL89Chy0vyPpXxlfL+ lXh5nsv18Mpb665tmZuW7H/p28jAfT0eUa4HiXcKPJF4x7nQBZty5PlW8D1w zR/OQiJY6O5L8jxMxv3MZn/X+/UWv7yf3tBHGeijLK5W+Gj3dScPf9l4WbF6 nMwV+ieR+ueuvKv3rk0reD+4sPi9iJL3/tHGq+A94AT//hqlbBH02/bnFjzu +2b+XYnPKDPui+UfhPNbc2tOLXtavZ/qRB0/8Vk4v7i4SJcnO1W4zejuvT71 smIdOkxoOFyhwyZ7V5TIuMuuzHHUezpZoc/Eec1PivOanRPnPZ8nznvWuedv ro8TbHx2t4MLxxa+wiZc//XxzJ76913IWnGe0pniPCWTvJurmYreJfN+aVtv db+C93Yx3rfJmkJ2OkWsb66tb9Zpx9V6Xc1XWeUeJwp/1zKIVtk4eN/Afnq+ PHbxzNvZMdsL8gNHbt72Qd8jEk4iW2vWdrb/Q85fKpss6NNgLyss7L10pbD3 sg8/C6tZ/a6NVhxTaufXA/aw47dXv1x30EIvZbas1HBMCgH7NXnybpnhayfZ KM+1j2oS95zM376t4b3jWaR+6KYH3y1W9YuRTdb8lhhEK786/uDZXwHS/jz1 lm9spxuWzq1Vu1GA/C7sl7SYZr9cE3zh73cHqv0dqXSpVG8LPSLsUbyuZo/6 rd+q9/4KDudxy57ENOptpx8JeZdIeTdByPdUyvcLGv4Utn6HQtmpuF8/72en URPe+27o0TDasmap0d2XhdFls2fce3eTi97su/nQ3ZZhdGGvZ/+cVfs/2uyL HXN6OalF2LdoU82+9UrYl6hDsy99/jjoz+mVXPTZ+yz6VdcIWqiYaX/cgyBq KfRv1XGVomiVE/sibvW30xVhtEJpVZ6ZJPwvXJ6vrpZdH99RLmn7NYjezLdv 3NDjkWT8287xr462rhZEH5bqfWpdgTzCzNPvz0/6xsHf2vJxRvXrN5l1eTrx H3LSe8nlS68YnkRGXF3vKtR1DRl8cl+z43XtFOJLMP6Hfir833yU8H+zjmK+ +CYxX+yh8JdzzV/OUsT8cm1+WarwrzPNv86WivXAtPXAuov4BSrjF8DfzmB9 MPD/43pkc37afDwyyUIzu7XZ3KCIl/3v5N+Fu52z0Z1rZ/YcNeAW+0CsZz5k dP56JhUFnt8WeLJA1OdaffKO6I/LeIPToj8u1z/0R1Lve3/3/mWjp0osqrqw aBL5UcRTEC2eguyct6tvC7OTj5ngfzF1hp88rBzYOHOJnS9s/fpBtWZ+GV/A ZXwBjD+B8ScQ/0Eui/gPosV/EBhfkiT6o7K/vYIeGqPRM7u+Y8DhoqH84L4n 2es+NNPNIv6Ay/iD9WI/crkflw5ZX7ZznXTSp+fSoZk3zNQ+odLkwpaX5P2s cxU6bAuhM0R7VLY3sHTNp/tn2Hm3384/44WtMl6By3gFbf9xuf/+EfENfJgW 3+AU+5W30/br8uRz5Yd0MPGQpld6rbZbab2234RPvJhNAjVuNzpd0Up/FXgq 8f1E/1T2r50f9Kx2foweWPrUuSkOXq7bxMoj0xy0d8cSpVqMdvCZX57+rHux cFqq3LqL63JtvPOx7e0vHnXQvweuvn29SSgf3C31XmJ3B60v4iX4Yi1e4sLM 7tXbDHhF9qzr913qGgftu/1/za+9CKZ9Q4t+3+dnBz0h6lNZv4xon/bQ2h8h 6KGSnp6CHirp+UjEX3AZf6GdP1yeP5e3vup6eICVX53WLvRoGzc9mbAlrdqX Ifzq0YoD+7Zz07YinoPLeI4TAk+vafgLoj6V9bV4DZ53W8RrVBfnGZfnWcbd O3mzwoJ59g8vLv7WLpLe6zjsyYK0NFJ7UdOnrvciaa85Szc/HpRDnncvVuLK 0Ej6e8Bclc7PJkdS9r0a7o+kP4dE9elgC6ZD2sadLaTWz93RJaV7zyQ22Rl/ PDpEoc8FTCSsnXtHWk7s/F6fp1EU4nkY3D8M4nsY3EcM9g+DeDoO8XQc9jdL EvGJ+n0P8VQE4rMInJ8Ezk9SeqjnUpeTUj8IEDhPCZynpFGdZnsWFcRjkHKi PpX1V4v9yuR+jRL7lcn92kjsHyb3z2JxX3J5X1rm+azzpP6jyqvyPWle5/Cz PN1Oe4j1zYfK9S3iibiMJ/pV3Kdc3qdVRfwRl/FH18R+YXK/PBDxSkzGK9lF /1T2L/ObsEe39lw46aDJBwtd2TRN6hNO/T3gj/E1fhjzwEXvCzyVeBlPfPiX pD2fx0XQFwu6nWz5u4zfj6B3nn1WLGNwDrNGz7gaPiySbhTrlcn1ahXxTFzG MxUT9z2X9/1jsf6ZXP8VRDwUk/FQr0V/VPYXKeL9tP6j9XjuQs/KlFm8I0qP 1x74aFzE6CVRdHtc/4HT/pD8prD00T8+vt7Ywa++/eXOl5kPWe7sphErb+j6 lf7+OGjyzMpzg6P0+AuHBs9yBFpVS3HRtELjf2p3LYe93XH2DwszXXRe+ZYr mTOH1Xb3n/ryrJRXEtj23Jy/S1yXMGfKz/n9yX0p8RrM9ff8U1u06Honza37 VyR8fsvT32Z9EE4PFd/4x9uqfN7bP33B8M/CabuX7b5w7oqifU0R89eMDefV TpY40nlBHnuQvfjIzsXhvPqM16+stXOZRj8H+rmkH+hB+sl61nD8yfV6vk+m fNChbsWxDp0/bby1+ikkp3o+XudPGx8NTiC/1Nzfeu1lOf4J7OfmcVv7Zl8i 76f8U/L7zDCM5+WtRPwWlfCpMXHfbO/l4P3IhGsnd91h9NHLRwf6OHiDbe02 vah/W39v9UWL7R+svhpFR8cMHJQxNpx6eh6q9686Pmub2MMOTQinaxoOGvLd N3msyqrPZsdOSGJLTWNXOe1htKSAiYT7N3jn9YeNFqrn1SfzAq4IeubAn13q JHL2svHknlmq/tSf5OOJxM8SeCLx8r3Q0WaH/vnmrkJ/twyYb3l8V4+f/2tK m7aNjznpgH1Jd2d28ZKz348rsvYvJ23G3mu7f8k9wp6cq3B3t5P2OPPBixGz kknzP36YtCNWlbtZo1r9Bj4g35MduWf3yvFN1u0/Uj+X7yUX/eL7rceSMLpt +fbHy6to+Uxiwmj1NX9Ny2irf4+dtY/9pNmTBlfYgdicHmf6BNFvhT9Jjr9y XPiDNNhLijxZVm3JUQtvtbt4xYgVj0iUgKmEiy2qXmzRJf17oKSyN2zG+i/s vIX1yz/LnM8mnj7OMq/GhPNvq914XXm+9HO4ufSfaOe3Rl8uOWUbX/fnEBMv dOnKgL0zs8kxAVMJWyrZS86tZdL6yyIVRH+0ldYf+PfI3f/i48fo32clrz+n l8NXWvjrRv4ig/4JoQfP9y2/7JmVB0WPNz28GEpfCTyVeBkfX31NhbjRoSF0 Uvdbj/belvyG0GF/vLdg8BkXTfpXuVvqko36it8e/XZaOP1lbJlHCTWstOiU 3Ztf2u08PmJSzdFbbNK+r/Hr0PMByPM8YpG1Uf1tQXxbzDcTfx1ro2U3Dr7Q 9XMzr5f2e83hp+z0e+Ff0OuHi/JUlt/TKtB09UN5f9vojB5nb3Suq9ClLxdM vljTQQsLeuh1jZ6tvxzv8bCBXS//TPhbqGxfvr8s0UXcd9r8Uemvyexgsq7Y YuFFHKaNTa6G0wOFrYr9kpV7o0JXP97notnC3s9lvUYfd2pwdeBT1rpliw3d 81y09/n8+DgZ56q/n1ruaGXvpspjL0X7VLYv5+O9T+90WNMvnG5w9w/7wSLt +eF0sfBv6HTK/BzyPkxMGDDr4gIXvdd67rkzF920LP9yRsUr4dT9R80VvRxu 2pE8m7NHlcsPnC2SWzIvkm5YcbLRDzNUfd88fW7TSpG0YtVNaVPOyO9duek4 4a/Q+iv43py8XzeK+ryYVr+LaJ/L9r9L/qPzxg9MPL3splrvZ0TS0ZmLsk5P MvNPj6wOD82Mom7hH9D2TbSeH1Peh2NEfSrry/cAO3xfXvrkYSTdevz8N1s9 2n6JiaTfC/8Dle3J/CHyvpX7Z/hfIRMzApG08a73zzS7bdfrT417VeujBXI+ Ayz6l0P7vvghRIch/orN2rJ21q8PrHxB+95zPh7iZ0VFeSrLfy/a0+GYy1Ov XDkSQvvElts1IiyLfdpp/6ajt6X/JZ1t+c+++IlNh+v//KHj11RV/2i+duDr Mi/Z87Xu1LUek45vvGfvwX9STXym2ZS96l4ae55/PsrvWaSzEyU/e/0gNocV 65t86qOQNObNS+qbVk/u73RmGlnUlN7WQpv9syW4UsRLYe/8xKbjGwj6dBji 19jNthMmJQ+x0eBLS265pvhY7RbvDb/R1KmXh/g2tm76H9/VHuqkq5/+3mFD wxdsfNWV46p2k/67FAbxe6zCjotfLJkczF8Xf7/v85P32aPqJe9XXyW/I57C IL6P9WlX/+GP5jzWKTVyW6ED99i5Eh+Mjev6Ui9/bnWd/Qc3vGRrNnTMq/3b A/aswdzuR9bo9z9bOy12SJt6Dh2G+D8G9gA2qM7yxI5rdPs20+IXaYyIX2Tr 9kdOurHPqd6Txz58/f19dnT0/aOj10l+PQziLdnDx0cfV94ZzDMGlhxa+PcD rE/O1R457fOYLA/xmOybQcfsruF5bFjz2MF7P/udDXg+/+Cn/dL18hCvyR6T +g3L/J7Ohv6wtGeVloyVfmv/6l0D9Xxj5GmVrqt+y7RI+siAhw2nDFbh6y3j 5+We8BCgn0A8K+nZq8H06iuD+S+x/2zt3PIGAfoJxLuSmMQob/UKeSx2aqP5 2x23CdBPhl6K6V+kezrLSjz+rE2z60SbH7leyAsxfzrsjakZVKqmg7tO1Jo2 aN8TAuuLrP2xxvYFLVR6v9xzb9JPTwmsJwLxv2T1/Xs3/a1yWZvW9u9HWp8R WE+k0NnSpo71XrLuvQ9+2mnrYwL7mcB+Jq0OfL71eLydT59ydmu7PekE9jPp c6KXv+4xE0+9+ueuipdVvHE/k9j+O6+/9zzAltQ5/PbXX7wisJ9JzRk/RM56 30J7frmyR+tarwjsZwL7mUA8NIH9SyA+miQ0DjMNKuqkZvOQQMP2mQTOSwLn JYH4b9I2+Oog05dWfuHUqPqfLcglSfNa1689Xr4nziUQL0d63rj7cbllyazI v/cOKMF5BM5XAucrgXhycqj+7WczqoXQjy4fKRX5NJeYFls3hVikvmuivzft Nix5QpgOa/Gj/F0tfnTzne8+2h3n4FembL34W9Vg2qJ2ZN7GbaF6edfHcz4f NyuUhy9Y0ej9ZSb623/+uGlmHV+2z6bUansVHf6fiF/lh7T41bpDTvWJsZn5 SF650xc/BdOe63etOjJP3ocm2k3EyxIZL1tKtEclfr3oT4e9Iv6WyvjbFYI/ HW8R/OuwuWl+fC+13BXxvTv6Rr1opMpH5lDX+V7BwdT2zeZ3q3Rx6eX7fHCQ ra3roikv6y19sUWVWzcUO1i4iNyPFjpkeOs/qoyz6fC2jTf2HXpt5/tH5PaY +p2FNsjsQzPfDdbxUVXznBVemHi1ZqXCgxdZ6P4Ks3dVsMv9aKGhK0v8ENc8 h+1Mn3hgv8dCu4j3Cvr7d/netk/q3rPzRoXSgaJ/Kutr9OnwJhHfS8do8b2z nSFF0yY5dXyYiA+mW7T44PnDzYenFlLvq7e7Hqm8LZSW6DXv0sWKcr2r4/qs zqN33CE6fL1CWs6J26H8yP0ak+1J6rgKPJX4YqK+Dj8S8by0lRbPe/KrijPP Tpf0OGmoiM+lf2vxuXVP9u3/UWo4bZ6+oc8Xl1y0qTneVLaYXM8R1FttUqut 88N0WItn5S21eNbhjVvvmrHNwS/VN3V/OjuC7vtPPn2YqfvXPhfxs0TGzz4e kT3VcVWutwgaK+JtqYy3TRT96fiWgh4dririeekGLZ73RZeRR084w+ipGdu6 zloWQdc/KdK50245nlF0+Jh5G8I2huiwS8TTchlPm3OqcMXbpa18VcaA4z3n FuSH6LhtVdWkx1F0pKhPZf01on0dHi7id2kNLX53X+qd7/o+keOXxWrXa/PO hQJ9n9URsIZPIL60X3t7TiSwBVOSzwzcq873L383i7l9mR2q9Dzz1L9h9GXj b/c0fpqi5wuI//rkoNgrj0j/V2eWtP7Ipuuzw2tOnTTsvJtujelcosS+BBL2 cvmSVzfc9HCDJkMj9PwVkfRUrSq7apV18n4fp3frvyOSHg35qf7Zu5JeVT52 nF7aefI10qbSenuRU1G08fwSywZEXycPVvY4XeJEFD0q2qOyPbfwB2v8Rev5 FDtr9obLpMTNCXPuMcfyZimO98Non16hy7+KvsuOXUg490m/MOpMOlQoZOpf rLDz3ILmj6LoqJId/91oPsgKf157z9CUKFp88yj/yEVyvFKZT8TH8DMiPoa5 br7z74O1Tn7ebKlz61QK27r4ee8Sx5y8Qnrdd4p19bJF4r2SVt/LWk1/1nPJ HXmecPaFgDX6OZlY4lp0xZh/yNfNE3flFLfT9vdW9kuba9P7n/Vjas9Ky2x8 VeWTlVO+ecLadztwYS+38Y4Hv/tz6u17LHH/01/f+1uPD2XtK09NerIylezZ +fPXsxta6UShz5Fumj4n442l/gb3Gdsn7hv+qbhvWJJ4r8vle91pQv7nUv6H +4m1Fu1R2d50oV9QqV/A+1gG8gRbK+RrvlyTr28J+ZzneYR8XiZwrFSggUXj N53B+1oG8gebJN4Lc/le2CL0BS71BXiPy0A+YVeWFZk7jxZ8b+iIeJ9M5Pvk w0I/IVI/mZfqtByNN1FZHt73MpBv2E3x/pnK988NhT5EpT5UU4wXlePVXIwX leMF8gwbeG3djtI2B62/v3uN164XrLbQv6jUv+A9MwN5koG8yOC9MwN5kdXJ G9Q0b5DMV5fCGon310S+vz4p9BUi9ZWuQr8hUr/5u+rw5J/7Fnxv6T2hL9EM TV8C/z37U7zPptr7bHZbyMtUk5fZT013TLoxx0lLTSkeN931jFnbh3St0t5B N2yObPhOxfvs5CGLd3BrB206ImXo98+SGcj7DOR5Bu/DGcjzrGPR6V8XnV7w fah7Qj8hUj/pIfQbIvUbTT+iqzT9COKB2IW2Dap0zbNQ69gK4zcNm8cGlbpV 54aKT29iPlSyzwV2WeC5hifDBJ5reAL6FwH9ioD+RIB+Mk/wS+R7+G8Ev0Tq L+PE+BCp73QX40fXafqSXYw318ab/C3Gm2vjTWaI+eEVxPyQp0If5bs0//RT Md/8nBavAfozAf2YwHt/AvoxgfVJqov1TOT7/XCxnonUf5aK9U+kvgTrk1wQ +4fKfACrxP6hUh8bLPYf1/YfAfsHuSL2K3dr+gecbwTONwL5EQjYS8jgYGeO 02nhgR8Tai9fmkE+FucLl/oT5FMgYE8hcL6REHEeEpmfYJM4D4nU1+B8I5CP gYA9hmwV5zOV+Q96ivOZSv0Q7C8Ezi8C5xcB+wuB85HA+UjAvkXgPiNwnxG4 /wjkqyBg/yJwvxG4/8jd+KRW/+su7ecm2uOJOW1493D+bFedll1bKbS0yM/A ZX6GvkI/4VI/edA0+51sTxj/uHSfBu+qcmuTZtWWXd0QxkvSsIdZbYLombbn /72UHsqHbbqys1aGQpd8kOM+9TyU/zXynQVRriC6XuhD3K3pQ9mW8dZ/iwbx 4g8HlL/0SqFRaQfm9jnsJ08fD8vNvqTQTIGnEl9P6Hd0nKbfVZ9VeV3croLv rz0S9NEaGn3NBH20rEbfKpGPgsp8FHahb1Kpb/YR40EfaeNxaslXK1O3uWjN FW0yPE0UerjKydr/jHLR5E3fRlWbHkQ3Cn2Wxmv67OKidcy/9XXwKXt3T01J MNOLs5fWG9TSwbf+WLx5mXohdJbQf/hGTf8ZNfCbS3k3bfzdSbWv//67mX5Q 8UbpHUuCeeHsBica3zLTgeXLVy5+P4+duLP95z8cZpos8mEQmQ8j77d8fY5I fS45etLs1ZUKvh/XU+TToDKfhkvoh1Tqh6NF//R9rf+Fgn4q6T8n6KeS/lu/ 7C5d+ISTNnhnZdfdT8w0S+TvoDJ/x2ahn1Kpnz5mPy4acszKC/mf1GcdrLTh pHtn9s0M4cta/fji+wQrpQKmyzX4gShPZfl9Ip8Hlfk8rgh9kEp9sIbQ3/iX mv42v0HDi4vvOOkay4YndVW5/GDxkPb0tpP2Htun+dKgcGra1+nayN523qPa J20nmd307eqmToUuhvGJr2I6LDvkpg+FPsXPafrUW22eTuzZPps0mP5nctsQ N41bdPOjepNfk/aevN4rF7mprc5Xe8Y8D6KVMopG/FneTRu8zgxxfx1EnZN+ M41d7qa5e/P7o9Afnaz1N1Toj/Sypj8qOS7X2kMW3iZoQLGvnJH0bKfp9+5E WHjC6S1TLm2MpIFAPp5K/N8CTyX+tdDnqNTnwB7EwP7DLgs8kfgSwn6prZ8E wlY2tvTp5aAtvnhe6UjsHRId3/ir+8MdtHsN97y4JI/+fV/pTzwv/ImaPzOM Nl/daNjYiddYveqJY6ur+lQ/oU8xqU+NLJ0w7kdPwff9yn/16bOlXhcPlD3T M/2jXHZ9wtWmX19z8QNLR5OK+3OZ2XvxQGuPtJ/8F2+3J7TMSRf96puJ5z9Z ksecF/8avTTORTddfVn9VU+9PQrtUdle6RKtKg1fepp9mOx5FH8viu5Zc+nx E9ff7NvDfQYNvVfwPZ1j47Z/7VH14bn38vU1IvW19BL5+hqR+pqMT/26a+vP PrgdRZd/tPdFi1gPCS4Sl9DlWhT1vp3fH5H9jRL9EdnfmdTm3QYf1vNPcfBv snZCfudSfof7lYH/k0H+Kwb+UAb3K4P7lcF9yeC+ZOBPZeA/ZUM37K7V85WV Nuv93df9t2Xq3yNd9WjthnXkFft38A7n3cJS/8xgDUT+MA32s+Eiv5i2PnwM 5CUG8hIDeYmBfMRAPmJekQ+NyvZB3mQgbzKQNxn4txnkR2Pg72Ygn7JiIv8T 1fI/sb7CP0A1/wAbIfK7afW9KM8TkOcJyPMkr0N+vji5nhR4f0BAPyKgHxHQ jwjoQwT0YwL6LQH9lnwq8snp7ztBfyWgvxLQRwnoowTmj4wU641r643I94za eiMvxXrT1lMGuSXyy2mwn5wW+emIhDuJ/HVyPRJYzwTWM4H1TGA9E02e4FKe OCLkCS7lCfk+74+Rw+bV2Bwgnwz5rt6QgvcvBPIZ0vUTyeLVmWbumrNkyp+d FP192bURMwOzLwXRo90rLih2TtrPgyjkO9Tjpya6u+zhlxX6lpC/mJS/Tgt5 jkp5bpGQ56iU5+JFvAYdo8VryPd5hUYJ+qmgn0r6E4X8wKkmP9y115oY8TKP VSvUaUPHrGB6/njmwcpdpX0/mF4XeCLxvYQ8RKQ89I8oT2X56kJ+olGa/FRe 5O/T8GY9Hm7BkXeqJ5Qx01QRf8HnafEXWnwGl/EZcj5a/lwjOstpozWPb4lx HZbzYaOZe/5Y3aOqXE+hdK/I36fBVj2+LvRV6oHVva00TeT70+3tn4p8gFTC e0V8CZXxJemifSrb7yjyCerl5XgP0uirI+ijkr4FQh7iUh46JOQhLuUhOf/t GkxO9MwNo39Vblxh1uYMsnj3quGVn9jpztXj+jqj/Xp+JOn/l+VL3+3defAM GacTTsuL+BP6mRZ/Mvdcz6qLN0l/ip0OFvkLNdhB9yQeWtDYb+clfpjK6o13 6u//J5469L75Xxd9yqO+7fS39P+5aCkRf8HDtfiL2yI+g8v4jJJtu5dpO1m+ P3PT/iI/oVbfrb9vXjjCO9z60klbv/z9n5qlbHr7XZ/V33VH1Wd3uDJvNZzn 1PMrphY/OuTeARedN/Lk6MKxJr38bZGPnVc97S9vWxlO79etuLXtBzls7XdJ Fc2nnfr7zh47h4Qdy3bRH/cNTztzV+Z7dNHRm9+t8lYD6Z9x6t9jmTdm2ZqH /Z00XMiXXMqXjYR8yaV8WSOoVPGRM9PYj/MHd3nnbSf9ubHp6PjRPr19md89 8cJXSy6/FU7LCnmWSXnWI+RZJuVZmQ9Zlr8l+CGSn8GCXv09r/w+rKS3kxg/ KsdP5quX4xMr5pvK+d4j4n+ojP+R56mcn+Zifqjkp6yYXyrnV5tXLvNHVhLx Nvr8uxtPTe01JZRvGDL+/9V15dFUdt+f4tblEvc2vk0qJaVRvW/U2znNE0Ua kUaNokHzJM1R0TySJtEkSRP2Q4UUEUmFEBlKSREqfvd1zn5av2et71r3n7P2 GfZz7hn23mfvzx6lO8ZQjNcyLln3LPuLIf1SFbvfzYq/P3oYUsyPdc2z9byV cX/Wi8fpYg/rQ0oavHbdzin/8PXioaSXGZ4lXw9KOi5hi45PekPBo+iY1rtr f/Cum3i7nq7UNaQDFhuWv1JoieNdXfX++rdxdSQqesj4MxmG4nx+aWHt2s5e SdOvhG2J7MbPN3V9Bfseit+D+X+RXz4+9eTj4/x/v3BnrJVMKcb7tub8DGT8 iP3j/OP3BrLvpfi9lgzfk+L34nmq7DFeWKMer9e2yEkdVfz881DRPq29DcmK n1B+Mf3pbw0V9XXOVh70RLxmFTVldIL09cyfiY7k/kx9WX8U6wcwfFA+flPx +wXnPVq611TUYLtFp/cleP7VgA3Di+DlKmjB9BcB9Zetxu0aOz+TU/+6FwMe Hs0kBxheBa9fRk4fKu3aXltfmBjjv6tydxW8mj76DVHfF0/maA41OF4NL8uq W3/L1xNWOVcsC7KpgXNtUyM2/vFHh2iGz0i7c3zGTFafbuP1TzO8Uop4pdZG thOXrNWlKxuV9xpeWg1TQrQdQkaU8f1WCRyPg/OXA5J4TCbPrhb9bSH82ZPl p9Yq6OJsF7dfa3bCzQfeTuYrFTRtWGj351ZJDK94tei/S+6x+gKvT8JYfYHX J5J4VXJu1IeEt1dyiGlyUoX5NQN6NaXhtp0n9IURk653edlGKZ7n6B/mtxTo smzMt/YnvxGun2hlg5oGxgqa0MI/dHBvJb3J+qNDeX8SvECQxAtK47OJJD6b GNyevOXV0jxInFnq23C7isZe1Pc/XpEL75xPju+0R0WtGT4PQXyecEYnSE9g 74d0EX8/fMzeD/l8q+jQeY53vKubUPcbuTT8+y8wNgvekTVIIXg6m12t6lYM 8S7H9rbJlQtL++Vcj46+BOVd564ali0XYmMOHZ6Q8RhOdt20uTJTLswbkFGy vlkCjDdZnxLVA//PT2Th8kueZh0UtMJ75JPW7p9JB9Y/5f2Tr8y/nXL/dpLE xqPt+9aPR6rZeLQPG4+YFBqXDsiS00kXtKratEogjiw+k85h8ZnkPYuf4+Mn k3UjnWY13CIX7OXhPd0ffoYpN+x65e2SC8EFFy4ecyiFoa27hR5o+pNkv8p/ 8PvmT3DVmXx8/gXEI6iBnUwe4OtNl3oxf1MB/U27MnmC3196NIydj4Dn4xt2 HornpxOLv+b9aWhI7BcgsVdA73NGVppLH5Jl+U3lPxsZivo6XdhAVVVnQKd/ Hei/d4e+cP+ZbQ/n1M9w+nuP0glB+rRLhlHUMZtCMmfLo9ofV/Rp16E2Wm0u fSCW6/wthzop6NVXKX1bhueQuoM9Ghw6IBPWePrv8qz8DENOPGl23k8mnFsQ Zf447RO80Oi2LjZOxvn9gPYLQWK/ENB+IdFfQKK/wFeGbyPg+SbBrxGaL6rH p0R9RszHUmLttj71VCVI8GqEJWx9CXx9QTTD4xHxylE+Mb7g5xZf+BViGX4P npcgOT8hi+EBCXhe2TG8IBHPXOI/DnUMf0j8P7cxfCKMv9RwYfhFYlnSP5H0 T9oy/ZvT84nke4jke4jke8iZuHWn41ph+0oimW/iUGzpe3L2VzDzVpEF/b+R AcWHBhenIh5RObFjdIL03oxOkC75f4jk/yGS+4tI8LEYnvtqlG9riCfDF8L5 oxJ8LFG+ifNYpDgeq0F1mD1IbD+W7V/g+5eg/Mrj98lqtp8B60v2O5HE+xPJ /hfzF5oMzF87eKaGqE+g/onyidZKpr8+Yvor/35NKsHnomEM34jzryXeJ6jf 9WR4SCL9MMNPAizrnjRpviKzAuba3Sxe7tOQrmR4SyId5edX22d6m53WolMZ XhNFOvpvh19y80/erCXKl+j/v5X5//PxtakFwzvi5caivznqh3kMn4ki/Rrz t+f15fQu89cXyz3KEu/m96sBZas3BsZr5DSwODO/LgnxFOT0MdPnAPU5e4ZX xOkK2pm1J9jen7UX/W2UDG+BYn38PvSnD2b+9JwfPbqA4Q3x+gb0EbvPBbzP Yxh+Dq+vFPUnlE8PMjweES8e9yfKwx8jNLJ8RlaAnem0ELdAQ/H/ycuyePYk 2ZBaMnwfiu1xvaN8iPoc+rvfYP7ujB+1PBLB8HE4f03pqcUjO4N7GdguMEne c0JJW8qrPrzU4vtbXf965LEHJ1aUkS195AGGaroBoxOkS/Yn2DL5TkD5LsA8 0+Lhb1wfAgz+e8/F7bUywcqwNn+TaQRMYPgQAuIVxjB7vID2eIl8SCT4NWQ7 0wc5vQlNq2rgVT77MpiPWLnwSsmf+LbjPkOr1kTUwGS9F0Z6Ez+J93Uwk2f5 fP4CSX0iqS++B6A/1lPmjwXojxXy2q/0tR/Gb6jEfDQ5jZ2/h19V0vvMXg5o L0f/oB/em073G6ei4wvXuK87U0TGt40cbdFHRT/tmJ3WdWABjJ286nPZBbmY P6fT5iXuF0BOMxmdIB3zRyFdrucSZSriC4RA+sSGwV3V5cCycwv2OYQAp/Pv DyEvGZ1yOnHxHdlj5ksx/ze46MSPWq8uf/Yt+3Tjapy0PUjag2R8Ihmf2Dm4 BJy9pS84ClpPrb3yodZ25tHGQfpClZ+1vt+EQkggsXtHrcLzLx6E7PbnUtVl z55RWQeXx8K2SuWbcSI+TQhJkvXyGaou9x3y1vJuRiiJY+2RfxLF2lPenti9 MPs02A37T4Mx53bUuLsqBG2faV0Sa9LA3jU0oWGIXBjguWyEXlEBkHezq60S UT7JhOy5Fxxtk+RC6fCta2Id3oJD5JyO6SlyYWOPW2VvIv7k4/5X4+3mnk91 6O6Qj9nlTzOIbdxsn/HhOnRL2vNue6tfE2G47fuwyzp0yojbbkcyXpBFZvGB E8p0qFXTiqb33V8Sy6Sx9o8ydOgL0ycF8uvPyDgN373bDXVpTv19+pw0CltE T8l0ab5GnspkdynMyglt6fuxSsy/iPIQxn+24/vhs6J+feN9B+kH5g0xO1lK vtaeclz5rQrOTjUqbD6jlAS+zq0ZYVINkv6JpD8i6Y9I+iOS/siF/unHXY9+ gvtvXfsU0cbifkH/3DDmHyme9xI8f8jWGp+j1RPXVyW4+V8/fXIclr+Dfu/8 DVZX0J5TJOYbbJG1P6dNyAcxH+iVYHc3eiIe3AySJo5xRHtfMqxyLzoyOhjf m5Nh45H+/9im4PmbIW1PJO2JpD3p2d/syrDbyF++NN6USPgllwJbP9mwCdvn Ewn/pO54N52Z87F9OZF8PzF/0Kb/g0EoL2lSjYKIoInHEV+tAU30S3szKgrr a1PTVgH3b23Fsozu23hALVEgPzLRfnM+JXt4wiIZvd26Ut7JC/nTFu0xxxol 6LSZqE3jPceU3NmL/f2Jt76X9eXykkZ6dHJsMwvnTLSH/8lfdcDhednyBAN6 /T9/3G/I7598VcbPO96tu/YnX+bTaM2qZaEqeqfeP/kV41dQURv2Hkz+x3sw kdDF/Mp9z9YDsdDhu6KuaTrlkAUTawPclmjQZTpxXwor3pEujy2cCjZriPGu OP4rNj7g+JhfLOjU+IwxWSrqbfS757zD8Yyeo6KXt9bnyyCYLyPtR/39RfD+ Qn/l1eoaLTI16SSnBv6maT6Q9cD0jneeJn2RNVt7eNcrsCtd+VnxTpN23m4a MDU2Ek51XOjskqxJfc38sgb1vgsJV8smX0/XpOvt/j1UXZ0CRrf/spr6Q0fk L23j5YxdzXTp7EPpvX/a6ApFW9ccuZP4E3pv+btlZCt9QX1KN6uY+AP2dl/c c1wnfaHvMwvfh5GVYJB0blF1RWPhZFHmWvfrPyDX/Fr7qqbq87LAJ966dSVI 8hmBRB4HyfsUSORzkLxXgeS9CiT6CUje3wDXK+pzTiz/E0V6KcsfJeLNSvAb pP7GRFKfSN5viWQ8IhmPPGD5l3h9DSrJvyWub9Qfet2zVyqqtahiThOfkuka 1HVI+pqUbC0audP4TuNIDdE+iPpOFcvPxPvXEvcbyu8NmT5AUB/A8wvlf8T3 HHJPqZlwpwH1e+Q9Yv4exP9sSG9ljNzRdnk5JNaOL9loKKMl9f7+aI9vRK8w OkF6HqMTpJux/EucP4UYv7ndX69/wUgd6svyL3G6AdUeVJ+fSYyHnewWdTh8 bzm5Y6PKvdFGX8SHxPeHTez9QZQH0T8A3ze82PsGRTrGd+J7TCF7jxHp75k8 TlAe38DyPYl4mjh/KJ/j/L3Iit6vPcaQdhtosXNzOce39TAU43XRPv+R2ecp 0nu8qZcfRXxL1JdRftzD7Msift95Zr+ls7j99h2z39Jwbr9Nu5Z0yKZaJqzb HFpybEYSZB07GHFRLY/rj9eyMXgXDScZPgH/3gxiUjwt3esMynMlZAazF9Gn zF5E2owI8itKLSMb26TtXXLvO8HzabZh1oaplro0JHqptcWQSAivy3X9x1yt j115adbuxz24/soiNbq/el6bOgZpQwAMj0k+1GawLn1dfjDwedY5CNnUP+jH v7o06XBkIys/PeryyEtP++VvwPe/+R+2bOh+9Re0lA3Z0CIE5fXf4MT0A74+ KsGY8QecP5DYJ0CSfw0k9gqQfJ+0fyKRp4hkPJFeV95L/WtC250xPPrI8yOc 72xWN0+9PgPnjH5v8bsUDr28EzTvQBMayuzLgPblfl8ipk7fricEXp7TvHCR SnyfPalV2Me0t4qmex7/2CGI3+dURS1YfRrM6+N8XeT1s1h9ivXj2fwKTnx+ sf9vBWx+Ddn8Cji/GH+O+slnlo8IdHk+IiemrwDqK6ifZDn/th6zWEU1mD2a oD0a9ROkL2D5kOh+ng8J/ZHE+86x/r4j4n2XWX/fEbzvLm6rv+8I3neG7L4j eN95224J3KHWNwJ6PN6+ZNokmFEdfKS3umzpPT/y7Ngb4MXolNOJI6NTTkc5 LqJdQI2Vw3tNKqkPkvogGY9IxiOzDTonxvREfeMT2JgPqvH7Iw/CoZbfdvf5 IuPlDCjwCluWlycTYswMPiY9fQeHx55ZeemzTGigY226b2cG1GXO3PH6h0z4 ouN/sTw2GYJaDis0KZMJLnbdrhW5voKWJQ/PzFupEKwTw896TEgCWbslx764 K4RAB+O7BSefgHHYsWSnoWL8Mpmpq3GBnNenvTPqhgQ8KiKhLrNPTg/Qp8t/ TTp9r18xMUtVRRvZY/080pPhafByPjnA+BfPk1zGP+X8Ex/GP+X8k5+Mf8r5 JxcZ/5TzT5ox/innn2gx/innn3zY1Cyt5QqFcG//IvOJucnQz7SfNV2mEFyM lraJMUyFCBbvAxjvU1Z+OnjWXbk435jPfJXNr9cO9vmwNGqSiZmA9DxoatbK LQbkwvC/MrZ3bZ8Hc13cj61Tt7+0vWjplJr38Kty5NhfcXLhL9KkqtXud2L+ c7w/L7H7k58ff/K54n13j/kfcLquiO+J90dfdn8A3g+bEl8YDHshE/o8z71f 8u497GT6L+c3BEI7Dqp8pC4vuDDb67LdTlANNLm8U11WfToc7z4jGBrY1ucb I1k83xjX73n7eLBk+bcEzL/F9X1B1PfPXP/SNlVf2HzUu/V5r+fwdUR/8/Fq eoZZc/N7k+NB4k8Jkv6JpD2RtJfaG4gkHxiR2B9IY9Yfxf7KWH8U+1t91HTw 5yN69MaAf1T+FrWQdLvzNxcvPdq9dmtQ7a1ayGfxdoDxdmJ+CPcks31z5HRL VN3jp8ZcX/CQ02XsfQXwfWXwhmMrEh30hI8jOuaZHlfRvsmXsjsN4OenWv6X 8AcS/gDz6+Y02qz+adDggk25TfrlwsC9duvmDtOg9fFmr3A9poGTTUx+7zdy wbevzZApP5LhDLOv8fkSSD7Lv0h5/kViyextlNvbSDKTByiXB8hrJg9QLg+Q G2z9UL5+iAFbP5SvH7J/VPLCcUvE+H9IaTtun5eob+nQsnp55R3p315Iujtd hz7M2O1a5plLDhu8WODQXYc2yGppUqWTS+yX7Rs931KH9mLnibjfRrw8/e2E k0I40Myhe0FYDsRtWLb2uaNCsLy5p3P68FyI9J7wyAJkwkGX5r3GnimEjIOT 3s+KlQkGtVPzr475AGEXDac1TVHLN4Ning4wzof4FYMLuz6RCfd87U2bCAVw 4eCCjS1u4vlaAu/WZY71vK+Wjyb/qv5nZRGEye0P7g2TCeUdBmoUrCkG89B9 d9oFyYQbX9w8P074CCNDtg1dcU0mNGlh3qLsbAlU/N0h1KulXDAzur/me0kF 1OeH/YX2ULU8ceJgo3s6CuGrF018qPwKesZbK2IVCqFYw+nF+eIyyMptm50b ifpPDbHNLt3jEa1F93QMWWtjqkntkjxOpc1UCMPtG2uVFhuK8iDKF2+vhFfo ZOB9rdaXOD7okU775ZUPVTT1xssV9o6pcObGqHLFcxXtEL7vxIZmfH8JShFf Btf7AbbeAde7vYnX1MVxuH8zoc/JnzoJz3F/phFO5+VM8mhZA6u80SXk2u6z Hl+hMc387/0qBPUfgTStbb1Q27cIuhDvGSvgF2ixMvkfZeJm/ewrqU4j66et qB06TpPejbKzfL1KV4jep+wySL8GKhasNzM6jON/In0Zf+J+yQ5c6XozSldY fmLi2aXnlbST/EfDfZgfmCppVfX1HqmdcP19hoIBFUoage3z4D3bf+L3zmT7 j4az/UdGmcj7esbKhTVyoxtxf+dA8sb771Py8uCSc9H3JB8DKrAywfLIubZP 71RpC6MP9nGM8v5Bhv2HZ9//t2hv/2B25JHzXLS3fIJZOyxSAijakzIg4cm/ H8/443xmwIcRkS0q/FAfFcja399kuS51YrmXurtORdhfPtldj3+A940mbRIz vdseXayvrZYfb2UPX/iVaIa4dvAT9QCFUAKj9OX2Smo1urzudhbORzwZHP/3 q5S3cjpHoTlwZ02i9D0RFjjGOjvOx3I5+MzqKt9Zjv4tmlR/aWXyfDcsN6TB zN7F6+dD9Ou9OZf/0hCGw6C8IC/1ffj//1/yf3AckeI= "], {{{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}}, {{}, TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0ktLVWEUxvHXRol6NKc2UdSUoNTKPkCDQMvAHCQejdSBpR6TDCp1oniD wEEOpJRK7TZQS0G0b5B57YaD0oTGGkEjwfrtwZ/nXc961nr33uzs+rbKRFII 4T0upISwcSyE2tQQfqeHUEebsZwZwi06o39bvx1TmEQM6UhKk8sI4Qg9Ix9o ES1BMb6p9+WyZI6j1v7r0R34w8/m5aBVPac+dFfCedi9J/nbdiQ7L+jd53fi Af6qi/SLMaAewiDOq0fdWW3PCZl8jJvPs+eAtqhbUYgCvMYbdOAO3kXvKvdR vp3WY5N/g36ivXavolHui/orPqNR/y5WzHXQef1yuRgqeFdQjsu4hCr8MLeN 7/iJHayZazA/RzvNbtCSmO/m3I0urEfvxitAlfqxXVfpE9qgt+Icp+v6a1hF jp1tSOCt3kt3vcIL/FKfM5tq7ixNo6V0TDZXPw/XZLb4lfQhluxcRL9v3ocK 3hBmeTM4avYePyv6Z9STmEALrxllsv0Y4T1CnFeDi7xeDJjfMztIT3uWf/QU PaTP+LsyT+kEnmMaTXofZG7SeDQf7aT7tMez/wcwyGi6 "]]}, "4950"], Annotation[#, 4950, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0UtIlGEUxvHXbkZW3opyQsoC7WIXzUbbNe66LWoTGEG0ihYZbXRhDVmL rM1kQo5TWS201CAwlWhR5qJlRSvRHEeoFrUwSI0i6jeLP897nuec874fX9mZ xuPnc0II46jPC+H6qhDaEF8ZwrfCEC7TOD+Gg/khHELr6hCuopVXrKcIDfx5 dYJ/C+1Yxz/H/8vvVj/AQ0T4Tfxcu/vVA3iKUv41fjF/SD2MEWzkb8IdWSde 8V4jYe8JjHvvXnk1qlCnnsIn/Fb/wbGCEDJFIeywe1RdSZvUzTigjqEeGTMz eC5fKhuky2g+r1/+2X199AsdoO2yNxhDi/oSRmVl2TfScu+twBx+Yj1K0GRv Rm8znaEXzH/QX+OeCuetKMd2bMNFfVdkE3p22T1Jq+w5ybtn/j6meSWyNE2p 76ITPeaTtAu75XvQYK6X/wSPs99gZjN/jMaz/x0d/NvY4J4I3jp/lUedZ/X+ QEq9nD/kfbl0mPba3YNF6j51Dl2CxUibmcJO/gt7at1zyo52nDXziF/D24co unkx/65LbwpJ7FfXYUGe1H+Dt5a+VK+h0+6plnc4t8jy6IhsBU3LKmUJ50ZZ oIOyf+6flG2R3eSdlv3iPZMt0AlZqaxNNss7Ij+KwyjkF+A7/6P3zjtH6Ryt pe/xDhHf/R9DF3oH "]]}, "4884"], Annotation[#, 4884, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0l1ozXEcx/HfXCizsye1UkPyFEXKxR6YMyvLBeec7UJ7iqw87MKGoqhp UpTtbC12o5lTbgwlGZZM4qyEG8xDpLSVNgu5o1a8/hfvPr/v5/P9/h7O+S9v 7ahvzwkhfEP1whDOxUI4j868EHILQ5gpCmEap2VxbC8IoRZd+SGcieDVooHX iDSvF7PFIfTRErNt/Dk9g+orGMJi/gn+fOdcVw/jBkr5Z/nF/LvqEXSbrcNF /iWM8R6jj7cbQ+7bTDea3cLPmP3M+4SkN6Qwam5t5MvX0UbeMG2gcXMv5OXq n/JfuGy/Q5iyx2G6S89OVKpPetsTvadolTrBT2LW+im/154TtIe+pWlaKCvT X4FyTNuzyTnNaMF+fdV6PsjitJIW0ePR74QR/Qv03Yvuwh+QJ+hK3gpk+avo aqT4/5yZpMHsfVku/wFd4p2l0e8rm9CzjX60Vw094A7lshl9ZfQ7neONyTPW 7faasn7Hi9H3tN8eO+io+Sw9qh6nx2gHL1ffM3XKbB3a7XObf1D+0hmvMM7P okLfpP5m2U3rJnqLttBJ9/+KDeqH0X+lf2/0TaDNftf4VfKt2MPL8GrMXdWb wSA2qyvxx2xP9K2iO/qe1CXmH9FN8gHrTn4sehcvjz53r/Wyfusjsnl0RJZD v8jWyNLWrbK/zr8j22e9jL8Uv6P3q+uRwCJeMX7wL7hrvnUBYuiyzxve6+g/ wn+HKn0N "]]}, "4818"], Annotation[#, 4818, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV1FtMj3Ecx/FfKDY5jphD/A2rG9xghLkItULiijCnlcOECJWNTcTkkGJs jhdyltONnC+cRoxNjiNszLhiYWPzei7efX6/z/f4PM9/xeYW5i6NCyGk+rMh MYTRHUL43jaEkvYhlGG9czom83OwkVeOjbwMVLYLYTu2qe3fMYSBGIAdvB+d QkhxTsVytUVYgUHuhzqHcBgHcRRHMETNIroY+ViIAjTy92CqecPNHob95i3g VfKm4YC+B3FL7DZ28abjFO80nvCe4hnS7PUX/zAS9WaMoIP1bBIfQuvVnKEz 7XonynO+Sx/xH6MBBWJ1dig0J0fdZNyRV8Rfxl+OXDVT+Hf5K/mZdDetRhU6 mN0+en49VuCDvh8RjwR0E+uOLkhCV9zTt1TuAr3noxevJzaghVlXxUr5JUiS m8mP0Qzal34wtwkN4o/Rz5wYrqlL4BfbMZ62QWs84LekrdACr9W8QoNetWKF zp3UpyIF93lBXhxeir1AkZ5ro3ctdtMezfJu0F+0kf8c+XLeq0nW9x3tQyfI 6U3T6XiMQ5xnvKLPajVrMBfzoufl/ZZbTPPcZ6BMfily9X4YfT/sjH6fSOR/ k7/JeTPKsQUVuCX/Dx0l/pum0U+4wF/mfp1m2yNLvyXmnRXLp/vwnf8Nw+Xc 93xj5Lx1f4NXSOFP1GMSsnHE/WT0DegD8RPOV+x2nI6N3qFzjXM/ffbQKgzj D0Uzr9rsGuxVP1R9Mi/HHrt5E2kFavnHsErtSmTxNmOh3ALEot8Gfuoxi87G DMxEHjLllkf/C/RcF30Heo7WobX6s/QMtqq/QC/iPC7jEubIT5AXjx72nmCH L/wMmo5E3mf3tvSrnDTeKKyO3qW5I53b8f8D9jifpQ== "]]}, "4752"], Annotation[#, 4752, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0D8s3WEUxvEj0cXV1jU1LMTUDiTUYChC2EgYiI4SRkJL2qRp0tumQyUS f3oZmBArQ6/BYFYWS4uE0cXt5E9Emzb9/IZvnvc8zznv+f3e6sHR3pGiiMjg XWlE0+OIQipi8lHEG7xFaTriDHmkkCuPKKFX+t7Lr2m7uc/mr8siblCvbsCJ 7N/DiFM6b2bc7Bgm8Bqv8FzfD9pIJxPV/1VvFgt4Ykcfb0nWT5fpM3phzznq zD1V552nfcOMczENcw/orHqOftBXRjf5aZpRLyb9tIJu8ytps3ta8AI19q/L q/i78j3so5Zfh2+yHA55R8j6z0Gs2Nkp70Abf8P8Gm8VQ+4dxk9zLfx7eSu9 4zXJu9TdyDvv8D/xD5Lvpx+RwaUs5R2+OE9hz57v6NH3R/1L1qznt/MA/yVu 1Mf82+Tt9OWS96Nb9J73FwX1f+RPT1g= "]], LineBox[CompressedData[" 1:eJwVz80r5XEUx/GjWVzl6RKuBQsPf4AxszbJvZLltbdApLgWExtbaWY3Gw8L KUqh2AmlKCnsFLGkXEXjqaZmMtG8ZvHu/T2f7znn+/vV945mcwURMYaR0ogc Vooi6ioifhZHbCcjHvikJOIYq+or9Qpf8xoXlkUkkMcNvppfQtKOckzrudA7 w128Y88Rj6mPeZzfvPsXbepLOzrLI4bsmMew/i152n0GHf+/UdZjbk/vvTf2 eRfdsjt1lt/tWDa3IW/iU3ONvK5e4HY9GaRx6O4AtfJF9/VmB70xgCp5Sj7r /Nl5X/8fdYN3fvMZv8jOuUXPLT+r8/zEzfZ9lD86fzLf79yHhPMH85ve+qGu 4TnZLKbx6t/7zFbKv6u/YQq/5Cm7alCNSTu+6HuST7h/5FZ10tw/TwVG3g== "]]}, "4686"], Annotation[#, 4686, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0M9L03Ecx/F3RzW1Rcc8dDAPdelgeGkoYR0SjDQ0CLUhBQ22c8L27WAg UgZ2i6TTKqxDWeQPhPCkl2AtWn9AMGqncLQihHrs8OT1fr/e7/frs+9OZPJX cociYgHpjoj5zoh7mDsc8S0VcYd+PBpxU30LBTvnMNgdMYRCV0SCdTsb2MSw ecpuRd0r6xo9SWtHIvbl/VM36Bl319Wr5q/wEhn9cX4PptQJqvJKZl/pI7nL yOtzKJrP0Bu4z3+Az/aOub9gVuTfRYID739CG79M22mF/vJbPtAmLbm7LSOL ETlF35jgNX8Ni7xRLPEeYou3jSXeVTyWedrtKQzwn8pc4T3BJW+8dfMOX8z6 zNbVL+ge7ad1/lk6a/cNPa+/KKtqntb/0f/FireyeC933HwME/yynR+87/jZ +j79Dh2lDXqZPpP9HCVMuJvEbut/pNOtb5dTs/eb18QB6vr/cJxVFQ== "]], LineBox[CompressedData[" 1:eJwV0Lsv32EUx/EjaUNSpaQkNhJTQ/sHVKIlaXRF6IIfoS6pS1UwdWgHg8Yl EbtbE4PLqBIWBiLoQKI6CkNdEnRqkL4M77yf83nOc84337yGzvKOpIj4jP3H EYP4hq+pEU+fRHzhLN7EBnJQkR5RiYG0iGquQq68kZswLm/hZjyTD2RGlJl5 6/yW7/gh73IKb3My73A+T+mfxlBGxDD2HkVkm7nPo+oRtLv/gCtvru1J+M5L ruMrfmfOA31Nep47v+cXfK6/wfmMC9V/uIBPuQiT3k5h3b7vPIM38gk9r2Wv UIxpe9pkY74pgRV9qzhyd4wTlNr/U/by/pvUf9Fm1g91Ky/xL/clfOPut/Mh +twtm10nq0UNDvT03P8bu+rVCaypK+T/uBcL3i1iDkfyed6Sf9TbhU5cyPtl s+Z8UnfjP++TTX4= "]]}, "4620"], Annotation[#, 4620, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[CompressedData[" 1:eJwV0b1L1XEUx/Ejaot5NSXMEKXForKWFqEGFZR7QUhBurbZ4BBSew5dK8OH RRxEEdTARbxqS0OCD5QPkwQptqSTD1hECf0Bvu7w5v09n3O+5/u73BvPXra/ yIuIUawVRRQnIhK4XhzRUBbRhEbM622WRmR5Vb3hfLUk4it/Qe/liKMrEcdY xD9zS3zOjeb69fPUHfbeVt/BXZR7a1g+hKf23tTf5Tq9e7il3lB/t6fQbL76 m7qAe+zsd36PN3iHt7hkbtt8n50ZtMke45U7TziNAfkgdsyVmU/pDciHMIgq 9aHf9cf5gCt8S1Hu25xHvfvf3fvOnzmhXuYSzpgb4wd6q7JrzmtcySN6kzxh TzX/5BpOmk2h3nfUmf1obp1r9fZk+/iBh7JH2NTfwpnsN8b9hm7M2fecU2aS 8mX3F2RZnGBF/Ymb+S+38GvvZpA234l1eav8g+yQp3gG07n/WW+Wz7z9Cwmk cztlp9zjfpe3LwCBU1MF "]], LineBox[CompressedData[" 1:eJwV0MtLlGEYxuGnAgkqT2hS4iHMhY4urD/DVuOM4ErJaCOpCNJW1BI8twgc gxZRtCgSlyoFQo2iEiQKai7C2hmoSIuMwGsWP+73vt/n8L3frfs9ye4LEfEc R1cjFgojjukiLSmIKMZvHOLxlYg3uFEccRPv1ByofU9T9PO1iD06w88ig37Z CZrlSzSVH5HGS3P6+DV5km9Br2xe1qVvy75tnMo36Te0yz/k9jjfob/cNdFl /i1NuW9FGl3m/ECt/BWtL4pYVb+CLCrkr/Utq73tLWf8V/qX1tAH6ERC70W9 l9Du3KA3gUbs+d4BWUduPl+Hn7K7fFbvrnOZbId+4dvkj8yfdJ7CGCYwjsvq VtUN2TOIFlkSB7I0bcVT+Qg2ZEXq1+kTfhgZ9zMot2Pfm77juvfl8RvO63ih ZxYZ/NP70H2p3nF+DKP4k9sn/6S+0rwqfHReQRZ96ufUNMgbc/8H/71pmj7D PfuqzalCOc4BQ2JXjw== "]]}, "4554"], Annotation[#, 4554, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[{2876, 4360, 4361, 4088, 4090, 4089, 3013, 3599, 3600, 3399, 2989}], LineBox[{2937, 4446, 3856, 3855, 3853, 3159, 4258, 4259, 3689, 3295, 4065, 3150, 3842, 4064, 4063, 4222, 3511, 4217, 4218, 4216, 3277, 3508, 3507, 3659, 3658, 3438, 3437, 3557, 3133, 4194, 4195, 4192, 3247, 4039, 3124, 4547, 3123, 4546, 4183, 4608, 4607, 4017, 4018, 4015, 4168, 4167, 4601, 3483, 3643, 3642}], LineBox[{3238, 3551, 2965, 2913, 4034, 4035, 3815, 3816, 2967, 2917, 4420, 4051, 3132, 3829, 3830, 3831, 4425, 3656, 4205, 4204, 3139, 3565, 3140, 3506, 3276, 3566, 3516, 3517, 3289, 4247, 4627, 4626, 2980, 2932, 4070, 4071, 3849, 3851, 3852, 4445, 3685, 4274, 4273, 3161, 3859, 3162, 4077, 4284, 4283}], LineBox[{3362, 4325, 3363, 3588, 3587, 3014, 4094, 4095, 4091, 4093, 4092, 4105}]}, "4488"], Annotation[#, 4488, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[{2940, 2986, 3449, 3313, 3684, 3700, 3701, 3351, 4313, 4275, 4276, 4072, 3158, 3850, 3157, 4251, 3291, 3683, 4437, 3840, 3839, 3838, 4062, 4061, 2929, 2975, 3443, 3275, 3655, 3670}], LineBox[{3259, 4193, 3260, 3499, 3498, 4617, 4206, 4207, 4553, 4552, 3141, 4060, 3278, 4219, 3279, 4221, 3148, 3841, 3843, 3844, 4312, 4796, 2933, 4438, 4817, 3348, 4836, 4311, 4816, 4310, 3690, 3301, 3526, 3525, 3579}]}, "4422"], Annotation[#, 4422, "Tooltip"]& ], TagBox[ TooltipBox[ {RGBColor[1, 0, 0], Thickness[0.003], LineBox[{2936, 3686, 3682, 3300, 3447, 2982, 3688, 3687, 4314, 3352, 3875, 4323, 4801, 3006, 4324, 4682, 4671, 4672, 4670, 3353, 3596, 3595, 3877, 3876}], LineBox[{3395, 3614, 3409, 4759, 3410, 4758, 3349, 4667, 4669, 4668, 3001, 3872, 3000, 3871, 3870, 3347, 4309, 3292, 3570, 3518, 3519, 3293, 4220, 4253, 4252}]}, "4356"], Annotation[#, 4356, "Tooltip"]& ], {}, {}}}], {GrayLevel[0], Thickness[Large], LineBox[{{1, 4}, {0, 0}}]}, {{}, {}, {RGBColor[0, 0, 1], Thickness[Large], LineBox[CompressedData[" 1:eJwVlnc81d8fx6+9V0aRJKWy8s2MxvsjEpUIKRWVqFCkoRShaUdCCAmZRctI HONy7ycZWVnJXtddXNdMv/v74zzO4/k478c57/frfd7vcza5eNu6cRMIhD7O +P8c21BSHP2PDnhl+V1+giT2/AVZ/8lfOnyKp5YzViUwU/XfL+8t0yH5nbhf +18JrCdpmeviPB20us3bk5clsGv3pM8Z0emQlRojrj4vgeVTLh/q6efYZwk+ N6NJYE/cHct5K+lwQjeP7NMngUk0HzZfvkeHtUvTrwtKJTDR8yvGMhQarGOz iaEeEpgYX6xh4nkaDCY3XPmlLIGl2qhHfO6iwjutxpL+X+KYj5vVsToTKvim Cz7/81Qc27bWAQv/OA0WG8ueuu4Rx4QOHPPLkZmGmoDn9dmTYtiYcYNFry8F LpFVDbwTxLCiySIh6cEp+Dq89LTZUgxjNg66l++eglB6mHcsSxSzGjO48jR1 EvL906XmMkSxQLHHvm+5JuH9tvuvRuxEsf2drC5D+wnIkC151bQsgkEqU9mk cBz+3Or47J4jgs1blzsMLozBk1U9h/QjIlikXKzs2v1jMKJnYiDMFMZ6f17l 3fRiFDqmjncZJAljkrYCHXfbRuCae9LMZWNhjM+kIpS0fgRM7Mb8T/8Rwti1 mUpWNsPwUJud1nBXCLujX/aj6+EQSE3wnueSE8IyjaNI36oGwfaDdyehWBBr cr1voj8xAEu3/U0TDwtiBYuXtbfID4BHjQNpfFQAYyWFbCx43g8Tr/Mz2gMF sJH9IdXhxD6gx2as6IkLYM6zRaWYcC8Yioh+NErnx4qCLrRbKXUDi260O2Eb P1Z6hTUmtOMX5L33fWBawIdNZ0rc+27bwdEja+GcPh/Gs3Pe4qJJGxSUFm1p KOTFPgUd6cg88BP6I6p1du/gxYo7eG0+RjZBZETxYZU8Hmz9aPe+yPXfQTCY de6SDA/WLHzg62h3HbA3s14wgrmxFIHwOJ2N1fDbayme2MOF1Urvw5L1y+Bi cdKOHH0uzPh7rk2HdhHUDJn/kQ4jYJcIIUUCIolg1kGMa3nyD3T83uVqPg1B u5a6Hj1b+Atevdbib/flodxXXAd6VFfAJSv169maYhT68jM1ZucShAgGjkeP FiP5Nyx3mtoSVH3KnPsqWILoMzRtC5UliHw4eHXxKIez3sTMrlmCHovilg29 JYh/feJtNdYibDI8Ls1ilqLb9kVbJIsX4eMpb4qVfDm6Tk9xLjdcBAPqiDrf IYTw+oY5WZ0FCLY9sT36KkLaO/U2EdQW4EDc+qOiMQgJZM/cH9u4AG7tiaG/ fiGkx+VWly22AFXJE4undKqQvjKf2srEPPh0+xWWVVShz22k+MnUeRCzW8xh NVajd/1luVUC82BnpbIut78a7XpD4tNYZcO0uXCpHb0axTGJmjEsNtQ/2K4X LlmDQk7HNdoMsmH4kmV5kG0NupFGmn/1lQ2tWn4e19tr0K0OG9ztCht8PxQF fG+uReJWUrvTfszB4apkf5n+WvR6+5j99to50BqysrGbrkUhbTWn3pXNgUWm 24ZCQSLadVh1Q/7bOehoGerqw4jISzx0w62gOcCxa69W3hNR7CluPkx3DhSL Lc+8Ca5DeTzh6i/jWLDuvDnpZFQdUrXMH08IZ0F5LINCSK5Dyr+b1scGs0Ch t4mp+rkOtesKdt+7yoL7g53NaLQO6WTt0pc7wAJWtaqcvHk9ejz9rMljdhZq FVVWnizVI5tn9QM3j8zCbNzFRR4+Emp8+j1ecv8s+Gpe9fSWIKGz550uZxvO wvErJluktpAQVcbncL3KLIydNZfzP0JCZ8x2R5AXZkD8XZ5rSyIJeRLEP/Zk zEAfW4a5OYOENt7Y1aeaOAP2bVE5FwpI6MtqV6tn1AwobqpYeltJQts8zklO 3JmB/vcm9buGSKhN2tsg3WoGnD4Ex7iqktHGFwqOUmwmaCavPL2kRUZq64O/ 8lOYQDw5zWevT0bFjq1R7D9MOLWNf3DCjIw01bfdqcOZoCX1cnHFhYzETBze bExhgs+eNTIHPcjI4IwqYzyGCcPHJff4+ZBRyC7XwLwnTDA6mEt7EUhGHnOu FkrXmBDUnHUyM4mMsjtDfqD9TDC5JOakls6xlzju5WjIhLICWseLbDI6uMdd karBBIPoxKNKn8moeiQrmFuWCRmqqs5zDWTUpGedNzLGgJjAWtGcn2R0zfr9 hFUvA/6t670Bv8hoWoZ/qaiZAexdGx6sHyKjNx4pt11LGWDl2CT/gE1GDyTX CgaFMoA+x3hcvkxGkd8YN4r9GbAauSW+lYAj6a2TNqPeDEgq4HN6KYyjLoEY PU0HBqwMHPcyl8CR5R/lrWaWDHBh0btapHGkmBnlbL+HARH5xAt+ijj62H3+ jpMKA6Lq9DvjlXEUN5Fh6iDLAE9hB/NnW3Cku8Nf7aAgA6gdYyUSmjjye3x+ h0ofHTzo0dwJ2pzzc7Ml2qvpICtt/XteB0cBH3bit7LpoOawiWxmhKPQLoZr yHU6OOnmrf1vD44aso7LLZ6gw7u1qr6z+3BU2XRqn+NeOuiwZYOiTHBkFt5S m6NCh/sKOS0EMxy1HdGNHBegQ4ZHFtchcxz9F5UbJEulgZ6uV767BY4YdVyP dFpp0HFp3vXsIRy5sj747yuhQbUUsVb9CI720zqsjV7RoJTcc7rBCkffvmgO qQTTIHe2AmHWOJKKlFu37EYD5XWuQWE2OBoQje2oPkQDoUFtrZxjODq8DVZ9 tWmQ9G/YLtEWR0oStrcUZGiA4lODnOxw9Ej41YaCBSqEUdr2sjjsuflxt8Zv zrv83UTGyR5HdWyh8MRqKtgXDoUlcLjzRqn0XBYVKugDWzM4vPtVgf2+MM66 c4RnIIfHBiN33PKigibhZI8GhysTooITbanwdrVlJpuzf0C+u1a+ARU+2Efr zHL84eM6K5WnQIVFB01ZMQ6TarVF41engd9YXWaOE8/jEoUVr6FpSLBivM3j xJtd1lWpVz8Nij1V+7WO4kjIL3nneO406PB8POXP0cvFTWTnk8hp8O94dTaB o+eys2milM80bK8RqQrg6H3V5MeBUPtpEFdQm9jByYeL10spquE0bKrq0qVj OCKElHvfWaXAz70em//u5eSTf/Jz2iAFOomR19uMcaSjTgj8SKQA99bWvE5d zn2Nv0NICqMAr2zmIe7/OPbHLrp5XaWA/jPrklkNHJn+tM7TsqEAv12tmepm HKU9Mt12RZYCzlc/8boq4YhS/ZefMj8FHcoZzW7yODIwE5Kz75kCXbJfeqE4 js5VpguOpE7BOa/unQc59eTx48vfua1TEHUcelfpnPpqjJutF54C0dBIFf9J MpIurot/SJsEN4Gpn8ReMhr/mGqAvkxC4Gsb+t0KMuqXMZ00Np2Ezt/FXYe/ kNF5yeXTrlsnwcZnf0JfARlRfusJ3RGaBG6KpqdxMhnt1gi3cGqegPvjl3xa bpJRt6RrgvypCXByPqYcyulHaaoam57tmQCvKr7xpbNkxK+P9KhKE2C7+laA /xAZOTvri7gMj0NaRmtYmgIZLfNk5m7zHAfxL+gHi9NPCQFLseO3xmC3p8F1 YgoJuT89Ml7vMAZYvlj17igSWs+tdi7McAyqXg6IK3qRUIqbk+e3hVFQNL7g 669GQoo9YYK1fqNwdtAn22UtCUU4txWXOY6Cvf4gYZSX07/z49NijEYhqFGn qKS/HsUrfPUbXhgB5x+Wa9wi65HLoQA5Ht8RWPuppX/ldj06urzDZ95+BFwf Kb1WcalHW9a8d8N1R6Aq4MS4hH498mshCfAyh2GFffmEfkcd+k05+onoPgyG si97IleISD3lhu+43RAEv59puNZLRBWmkgOWmkPgnmY5H1NGRDISLtw3eYcg 5Kv28L0bRKRxodBd4fMgaDcyCs78rkXsm6IWoZKDoCRiZZT+pRaVVt6y5hkf gM8a9bPzEbXoPgtOG1UMAH05ubdqVy2qMA7Qa708ANR9e8/RH9agixv7rq/c +QNNVF51tl0NMmRUX8M2/eH8k5Fis0oN8jTZGdZN7geiivbXpm/VaCgk6iJL th9UZwzPEAeq0AiXeMm67D4Yuqh0IrqkApWxBRNqUroh784aBSHVCmR/Sasz 27AbGtdNVwpFfUNyBDFp05YuYJXVR74/Vo7+XZwuPvr3F4Tt1zj9IKEUxQuv cVQx64Sx2cc3j3aXIGWemc6tPzuApuasvSpdgh5dk1MgnOkArWx5F5rPF9T3 n3C6l0c78KHLN7QrPqCu0RnPVZdWWI0mFXp+KkLaasENt3/9hKj4gKR2w0JE TSzVFjn4Ex6qe5TT7+ahpCvnU9xkWkBPzMLj9mg2io95dkR9oAkuuxqLqapm Ib0jEcr8jxuh3MHTqFs+FTnej+jXePwd/vRmPTxqk4C4pb41V7aSIe4DJfoA VzTqaSe372TUw7oWtt6zk0Eo2K/T+FsDEc4NXwmfjBCDHTmSeyYsa4ColfKo zTsIOs0tywqCKiEl0Xk1ZCES+rMPvJUeKAb1m0xjAUY0yGs3jDyby4XAqet6 Ql3usMbRVa258CT6H0VSLds= "]]}}, {{}, {}, {RGBColor[0, 1, 0], Thickness[Large], LineBox[CompressedData[" 1:eJwkl3c01+/7x+2Q7L33SEZGMl739ZbsPbKzCdmhhMoqIlvI+IjMRNnK652y KWSUhiJCJbNS5q/f+b7+uc/jPJ/nOud1n/u+n9cl5BZo4UlGQkJylIqE5P/X /31r8L+VkcAV97LsZOoqFE5zZH15y0DoyEz6RMm/Cpv3u+L+NDIQooltgbqn ViBu0rqq3JuB0E/nxzVSuAzFOwnSHBP0hL8sqM435yvQ3fgoJNV4hKCxGBJ7 Qe0rnFWhmRpKO0IYvqgz/HRmCV5JWNbk+R0hxIdeYGA6vgTi35Pe14sfIYj+ mqbhmVmAuAnp/eFCOkKa+Dtr+dB5yB5K/688/TCBe68sL1x6HrTWhtjGAw8T nCzFPJ/OzQFv5p8SCdPDBFEIiDOwmYPGMxKYNv1hwvqRY9vz+p/hW0JbjHEq LYEstuubjv0MKAY6lvnm0BDOsD4/0S32DmyTRMzKiYcISx6aF2ievQUL+joq kpJDhOdlXS5jZ9/Cy7dZ+rExhwiiX4oCpwqmIKnhRvXu6UME59TC5zxSb+Dq SUH7rpdUhIX9Zykv4yagMKmbxX+BkrC1NnOtR2kCyL7mgtQgJWGCaYD4Y2Ec zpQVfaGpoySk6Td44ybjcHhLYEElnJLg4Dtz6KP0GLztyCnTpKYk/Hy88i6c cxQEQvVo5xUoCIc8/7J/axoBCypxyzFOCoJb+lPPbrUReGX6QPPzPjlh8l4E 12/DYWg1lnDzGiInEIv9uBPjXoDqsNSfbU9yAssPr8VazQFYLBKslL9LRug+ iJl8M9oFGVv0hxpkSQnMtgzXbiR1gcE4n9YuFymBT4x2XEWrC85X+4U5U5IS TqxP2Se3P4eDzyWngj6QEARLy0KKHj0DdYWLmm3JJITHR+5VC+Q/hb2Bi+Xp 0wdwzKbwr5fEU3jG+FpPsvUAxg70R3RbibBdQnlyJf0ARH61Wj99j4O+eC0P hfYBHLy9t7BwogM+cn2bN6/fh7I/aR8DjrdDtZzBsnbKHhw/ftap+3Ub3Ni0 qK3y3oOvIYRx5+g2iP4hZXtCew/GMGoz6+FWUJ8wuPdqfxcI3uVqg1dagI0l MpEsdBeeCjt08LA3QaRaT7iQ1w50RqeiQfKHEPR5Z+3g3F9I4dvIu3W7Htp8 rtFv6/8Fq4xDS6wS9XBf6/09jmN/gZiOpbcb1YHwNntex9ofiLjXFDtUXQt0 TX/4qiP/AOfo66o7FdUQH9f6cSl3C0odlq+zGVVDwVsXr0NRW+D8uZd5dKMK 7jFrzeq4bEG5qvLPDa0qWChiZpeU2oL+S58EL/6sAKJ0jGZgx29I9sudf3Pz HnieDlBfXfoFdy/Rttifugdyf+cZD4/8gsOFpPnT22XwpOLTVe3mX2DAcYx5 MqAMhCr889hif0F/6VCyuFspnFFVf8zP9wtyhFgLky6UQPDqPckW259w/bmC 0B27O+B8IPj28JcNsD0Z92bwZz6QH2ylTbzYgH2tk4LRGfnQIN5l2tG0ATfN ZN3NRvJAqTPJeCl+A3yrp29wOObC27fCfx+Ib8Ds9rHQC83ZUNqwST8cuA6V yz20al7ZUPvcWCTMbh16qB0Y5TmzwV2t6sNJrXVImaady72aBQyLkTVsHOtQ TfE24rVDJjyrFr4v2LkGaXID09E66XDSzEfjLMca6H/lalKjTodvnApdONka DCvcChrMSYOaHhv/4A+rUPTk0uC38lQYCV5q3765Cl8rA6JM36dA1uINwahv K1AVMZ9FmpMEMe2Cz0kaf8B3zE9pnTseBs+ab1p5fwdnJYp2/vE4EPs7bJWs +x2ebkkJG6fEwTF7mvUl8e+QJhWYXEwaB28XmAS4Fr5BPzszz6OtGPCJJlHR 8/oGBk3qrgX01yAuyXSnzf8raB+MU12tuQq5M1n+xqZf4bkw6zNX1atQrdWl TXX8K6B7jgmfHK4AA41BxPzPJVD5b3qEuzEKttP6xE2uLAHnkZcJs+URcE3y re2j3EW4Opb3RcsgAg78TLkuRS7CrbLRnR+rl2DWJ7fYxXkRzodre1PBJTjL oGN1W2IRHkUe3+r+Hg4FA9xbae0LwMTyyvBdZChE7hss5M99AXdqbJHcMQh2 SK6bHJjMg9XjxY523iBwZ3zuUas0D0T3axr9HYFgerM9L5J7HoxTuoaODAQA d/HN8qsLcyDU/yLecMsPvM++Kea6Ngc9l462Dt3zAZLuX+OB7Z8hKKpLIlvT B/a/Hc8+evczhPx3b/79J28ovV/ZT5H0GRJU71aNC3qD/2OKVXa7zxB/6bjA y0Yv2DFfeP1gexYGKhRolbg84Npai1Gc1ixE3FT2CRpyh5iltHZhmVn4XXBh +e0VdzCQyJD8xD4L+pfy6oW/ukGxNPulum8zoOela8sw5AoK8gGDpVkz4NQu 5i8T4wwUJqpk8ZOf4NnccKnQI1tYT6ueGrSbBrmAuNQzlrYweL6zLkhpGloH 3/qu/LaBbm92Rh2GaXC32/x48pQN2FlyX73S8wFmm78z5S6dAVFaooOA0gdY 9mWXNgmyBOz75+8/uN7DIrr7KVzcEqbEDxUFbb0DuseecW3TFsBrYaQkMPkO 1AODuMJMLeCRg5jCQfo7WLp+EGMP5sCXq6/eTfsOqClK2GULTKD8nXaoItVb QNNJAt/FTWAu+b9J+4Up6O9ucnFrMgZS/oinNb1TUEDB/tp9wgiYjyXbd92Y AkcLlPVTwhC4Od79eXV4Ctijj1prcOrBtcybCao8b2Ba5fOP1a1TgEW8S585 Mwm2XxkCHzWdgvf1dv3JGpPQvdgf7RpyClz8s1nOiEwCBeMNsatrmnC0XtFS c30Cntz86my+RYDww1PxUakTMLiaLphhh+Dni41u5+Fx8F2Utvn7A4P6Qy+G 37eMA1mWacinOAzUPn/uvvDfOGwyNfymb9IAgkzlyu+gcdi5m6vlKqYO9lNl yTps4/D8h31Cs+5JSLdqIVt1G4PxJNvNu+sq0OlqdYvbeAzkj6xRdRaqQIWF IIWLyhicvcXjcfX3CdAdUVY9STcG6Iy3b1qrMogXc9lwt76CDQax+Tw/Rbh8 WNYkmekV3DyADnVWOVgPc/Z58HAErGKyRV8VykKoF0x+vjECAibDSQoSsqBd mNJr5DwCjQLzdzFNGdB73n4Upx8BEipVn8YkaSBzO59JHTQMlIYRYo5ekqDY Rl7BoPESeMMqKAuoJeH2auqJAPaXsOctdnCqVgIMmwrU9tZeQPwaZ1Pbljgw zErdu1/xAhJMp5zvFYvBeGWVjBbrCxjb7Qv5KSECvOTmVhJ/BoHu4sgRu4/C IK5gZxM0OQgDdq58b3OE4YC5hG6hYRAY0+MmuKmFwe9dV5V1wCCsnXJUl/sr CObMdu46iwPA3/qayMHK/+/9OEKQne0H5k9vR04XcUBu9ypz9WYv3GgK/hGn xwEf+clNWKZ6IfGQdfvmT3aQFRFoKO7ohYmnUsNW5uwgebjEhvN6L6jXUhyu 5mCDD9eO9GVy98KxEP1SsjfMEMkYNxij3wOeOgVqHlnMQExzVliW64EXgybF bWbMsHv9pn0Yew8YlknMHRtmgiGafPu5uW4QHm4X+jrOCLdzlYSOXusG+e+6 b3AGesj984lKi9gF/OTvT02VHQHH7t2wxIou+KM1zxqmegS4J929v6V2wWUu LSVhHzqQ6lO2IHfpgtsUuTadb2mh9e/33ATyLkh2efr9yc4hYPjb/r7O9DlM FdwKtRUmh6u2N7ce7nSCRQr5A+pPZBCtq6Nat9gJ7EF39ssLySC7c5Cha7wT uKhK3+Rzk4FxrTaNYm0nTIdfYKQUIoXXrURmKadOOHPl5NuBmn1kFsDIXZvy FE748JXMoX00qH0z7eq5p8DI66h9eWIPzYTD6yunngKvldQHaoo95MDASE3y lwiXvCZY2EN30C91FYtD3kQIj1AIvZD1B33Y/pK7a4xDj6EW+5bGH0Tz1UEk TBqHmy39GfcXt1DFMyoXdhoconELhlzCFnqTfVZ+rLsDTvsY7xwi+Y0ywjop jqIOmNbVuDr6aBP9vSmldvzkE7AlbeG+n76KgmJzhl302qFTKuixJucqOjIV 8odBsh0kK1pCSu+uoPNy7AFLh9ohgNcktKz9B5J9WejK2t8G6b4spL/3vqNM j+J2C4M2WDiqbvlibAlpXrW6jFm3QsVqy2nu0CWUHFFm43OyFbR9T/x+xb6E ok1JbZ5wtwLLCVbLcy6LiPgj9OfopxYg+1zNlUS+gLp9+VTw8y2gHrHNmZgw h4LcG6qDbjbD07e0hkfU55DxWzuZpYBmOJFrtlW//hl18w8vxFo2w7u+K1c1 3D6jNtMjukJ8zfDM7lLOX9NZtPbi4ujuoyZgDIv4XNL0EXF6XBo89LkRKK9t jgyKTaHtXxVFevYNsKDBwzE08gZ5/tQz8jjdAHNz/i47l98gx0/rLHdkG8A0 XCv77cRrVHXtlZ8leQOcrz9+R/b2JPqw7nLw98EjoLJ9lsBtNI4CNrvI9g49 gldFQ9wuh8bRWOwtpdrNhxDfpB9T0DWGLPN/3rvw6SFkU9m5fUFjaKPW9YVB 60Mw4xkccyG8Qg2VIqQc3g/hfql8PPnUMNJL9brIU1gPh63rqQV8h5GyD8d9 r/B6uPmRhrJr7yX6Knnm/UezesgtMXyYJvUS1b7Kdj5DVQ+e2mPTNZlDiFl8 U/XMhTow3wzYcanoR2Q9xUYhZx7Ao9xgkw8NXaiBP+h8x8n7kKjgU/neqwtR b1HcTma7D+yCG1akvF3IX7hGK3GjBqK5dt7WJj1HjyTenKR5UAMk6U+fkYQ8 Q0KzuQfCojXwXNOfcuILEdmXE5jjuKvhlZvxi8wAIuoWcWBj2K6CxwsxdwT+ 4ijBrpOx520V5DUVqyay4MigUo67Lr8KbNvLd944PkGnN8gKA3iq4MPdp4zX 1dvQ3JB79GXxStg5K9W4O92KTtCUfEuhrgSNJ8zc72Ja0adHLAc93yqAay0+ teVlC+r1qHG5X18Bme5DMRfCmtELmcn3mHoFPA4jZfpK0oi8lQQcbe3K4STJ 3J+M4Qdo737SRa6HZYB0XZ2Dzz5AIbV9N3lz//XRD9Xw7R+16CPfbyu4UgZH E9fZfrPUopWK7ZA5ozK408KksR1Sg9Tyr+Te/V4KtMpyLumXKlHESauMcdlS iA8crk0XqEQsdK3zTzlKocMk68WXvgq0UuQeO0BSChyF1zQieCv+ndcgUqXx u3DdKkKibuIewncsX7lG3IVqi7L+oahSlMC6QiAdKoFVjdoTT06UokwxxV8P m0ugcC5Ft2X9LiJEXHkcWVICb4xtUjt97yLtYaN11/ASkFgusiF6l6Dii4PO /iIlYHDo8VE94SKUyd12rYfiP2hcu+Og9/s2suKf9ugqLwTGmwE9xuW30UOd KIu3cYXwX8Qfk5Azt1HMsQcBHG6FYGTVa0ndnoN862pCDwsUQnGvr/ivlGz0 fNc1/uWdAthjnSZR88hE8yYyfOn5d6CjzD7ztEgmovz8u5b58h2QcTz3+thc BpIumgl7bH8H+BrIH6R4ZiDeiNUjEbx3IGXhoNcgNB090Ngde3A3H+qOpdzI DryFbAqn01815EECF00ydugW8gR32+ycPAg6XlNqV5KCWOwvdkdcyoPrt1/z vn2djMLyxb/cR3lwmV+v9KLVTRTSXNpd9SIXuD4/O6KdegOt1J2Ynlm5DWLX SXr0p2NRZs15PnXDHLg9j3h1c2IRk7aS2Be5HPCTrJJ3MIlFZ6XPGTaw5kDA 68IzTV0xKNt9W735YzbYUkeslT2+htI0HGttQ7NBVFXS8nNNNGLhm/r5ozwL ZF3vyl9WjUaKhTSVTSlZ0EGBFXUORKEzEafaCi5kQe6mzVXN1UiUa/DMdlAz C7a+xCz6G19GMkpNJ8s/ZYJt7ysDbfOLSDUyvEZWKBPmv5CMk/wJRxbXGGqW aDJB3lrLlq4kHPm8SU7p3MgAHacrzTubYSjhkpjDQHcG7MQoqN+uCUWpwUU9 ar4Z4Jn3Pq3fKAR5NJQ+uvw4HTauT/8KL/FDF2zi7XY/pkLAVzd99pN+KJ50 PX6vPRUYpfmt4NV51KIjxC6dkwqluYwhQtTnkZetUxqtUSqsyEyTD97wQRtZ OvMTT24BH+Vr/uEhL+ROqDc9V5YC1ziuSF+97IXInC4itpgUqPV+pHThqBdK d22RXXZKgeoTnnm/bnmiFW9HN1aeFFDAH7D+dPNAMWfOyOnnJEO5taiTg6Yb 6r7lKsmXcRP2betSukndUNda8Amd4JvgkhT5RLzLFZ1SvhmRY34TOKPHpXr1 XFEHa/L3cuab4LYs1k7q7IJCad/nJt1Ogr08f/h47iyqa+N+p1SeCNIfPO7d 6bdBiQsOop8/XIfHaZl1R0NskGAZjCg8vQ4nW2r5Sfhs0Laf5m713evA2BUz 4hJujS6vBwgdPncdUuvqhggqZ5AWJng5azMBnB2ZV5q/W6Ar701DslgSgErs e3POZ2PkxxD3lTogDioUVqVi/I2RwNTLYyNWcRCbF2tj/tcIFf9u4mxRj4MJ 045fhixGaHiRDPtC849fHQwMmRmgC2y/47srY6HE+71Z4LYOUpJnv+T5NQau J0Td6MzWQb/Pff4sMhYD98iCflnJ66CUCdMkkicx0JbQaR5wXhs9fxi4ynIr BpKTJCkvbGihZ8r+P4oVYkDOmkfwtJEmOrjwgE007hoU92W1tpFooncJF79w BFyDohK9q9stBDS5tJMkbncNfG+7e9BKEVAqjD3NkrsGnu8SRtv1EJrZYR+0 fHIV2FcoBy6NYkj15e6zmcyrEDccv6rmiKEhTX/Bu77/dHSRIfCKBvp0XVD4 CfdVuLP0wa3smxqqfB7YaBx9BeoIz+Q8bqmhrTQTu0DrK+C8fvCHUlENyVFF JD6XuwIRZie5Eq6roqcEuuzdz9FA80APLzI8ia4q3X/bZhgNn0Ia8zPJTqKJ NC8tF/FoML80Wpb/RAXFq4naqZBGQ4Tyy7fhiipI7hXpnQutUcAglPA3X+UE EjTo+cYnHgU/kpWDjHaV0aAXs6wGWRSY8K1pn3qujNQiOAmJHyOBqVKuMt1c GZWO1cxW5UZCy36y//xlJbRbdC6bki7yX57YBA7MKqCSQfX4P7sRYN7V2GpZ K4dCn3T5YfsXQZB23nrcUg4JZzrGNs5eBCMGVnnZHVl02nA1x7DnIlA+PH1K UV8WvSw44JhNuQjkvXef18wcQ7TKbbJFfBdBKyqJXinhGPpeTPeen+widFaw /GGROoambM/oPlsIh68NM2dyAqRR5GZn57mH4UAQ5eAaXpFCHlo/pk9oh0P6 1pCsRooU6q0dlX98NBxGfvZoR0lKIXy8lPIsYzjc6rOXkj8riegzGG+TfAiD cINnZbebxVGP3v6fx6FhcCzab4mMQQTNGJWKvr8fCt2h/OSETGF0ioY+/3RW KJRyJgh7swqjPbYrukOXQ8HCQUHBhV0I0f33bUTOIBTOcDSPRsvyI6uF4D3z bxdAWOdgS0eeD20URD28O3YBUiofK8Yo8iL5/27mHXlyAV6sUQewE7iR1RH5 BNWUC3CR479styvsqHqfFz7KXQBae3oqyzw2xJlHpKbjugAmNb9vm7ayosQo N7IzZBfglEtLoRoVC9q+J09+cjIECjtMJxhUmJFFFffAK2IIfGdZeEgMYEJW Ydc1rleFQCvw4D+WGNDXb27VKCoETG8/m395nR6NWWS5nvIKAWvcx3VX+Qhi IO857WIWAiz3J385bx1G2u9tFPLUQuDjmT6PT0O0iOvJfZpvoiHwt4kk2LWJ BmnGCtacYQiBdqLW9ItH1MiVkX3z3d9gSPSx8KPuOYQEtJe7IuaD4Xrtysz2 ChWSJyHfPT4SDAezlSRFQlSIeZWLXKPtn17otyYRTIncCj7ddr8bDJ+ziwef faT4lx9Pb1XdDAbbuP+q089TILZTokTa0GBoCgLeeTYKRJJkt590NhiCSipe qr0hRxJKGZLiusFg4F6UnlBHjq4w73F/kg+GCbmdl7/vkKP89fnGJu5gKIjK XeksIEf0/6W/qqAIBrlOfQf2h+QoZEnXonklCGSCv0ZJ/atnWWDBOjMVBExU Jh3HGCmQRcKfX+JdQRD0yyTWwp4C7V2ImUx6EAQ/m7tUXjZRoAUl5QzqvCA4 wOO0R/gpUU2Ow6Gy2CA4Ee/FmpxLid65a7Db+QeB5FWtI4r8VOiwv0DhUdsg 8BTbyPv7iAq9umJ0kUMrCCJ/6AsyWRxCz70OXxeQDYI9Y2G62r1DKHijrOIU VxBcxC16dhupUdjq2dZrFEEQ1dDQpBxKg7qsyWQaPwVC9iHnt1IMh1HiMe2Q lluBkGNlP6O/dBiNdbqEHPL8p5POdfL006FkuEV6SyMQiFbbj4rz6JGIj81T peUAyFxe8rRQZELHPD1tV40DgD7VI/l8PRMa0caDpsUDoLadQrNSmhmpfSvd 3Tvwh+BCV9nvwizo8PczrpMN/sBAZ/3Si5QNSfQw7E9y+0PkZaKc9QU2lNNx 08Lslx+4G1f3HP/MhhjMGQ+2R/wAjjSfZW5mR7t4hMVMgh98CvbfVhPlROQl l2PnNs8DR8j7D+dDOdE9tmH1tyPn4ZQg56RBFycyqT6svXf/PHg1FOexOXKh PV3mwBGP81B4Qf74lXIudOnJE5FozfPwzF/8YsYyF7JVYTWz5f/n7xsufxTC jWS4slRuT/kCF8WAg/ojblSymH/9T7MvGCi12vksc6OzaYxhN7J8IVIHo9oW 4UH1pxdfnAr2BUepg777NjyoX53e9qipL6QOlVBiN3jQXFXYDCbjCw08vWJ+ DTxIo/OIfPRhXzhHzZK2NcWDjrT0Mi599QGTa9JVRds8KIOYbnSl3wdUH3xn cGfjRbd/by6GVPuAR2KfTZg0L0opz9lMuekD9pYFPP9p8KL09DCtF+d9oNRU a6tGjxcRo7Luyxv7QAex4Lq7KS86Lbd60C7rA7Kfr3lmmfEiU/9EVm9GH4ja GZajNOJFeztOuNqGNxw1couJ0+RF50tCho9PeMMTNo7fU/K8qEegi8e4xRs6 8gekRrl4kRqYRaTkeUMdl3Wb4i4PWujierJ62Rto3+Rhw2940GKIQHP4WW9w ZAk441vLg84zuaoLEbzhJGNDwVgEDyry+Ci0KuwN7Ayata+ABxUcz9WYofSG 8+Zbwgr73CgeS3b+uXQO+jkfFRCb/rHxYyfpF/+4wqBB050b9YuL0ifUn4OP GiVk12m4kX9qvyZp1jkI5U2VtK7kQpn6lS//Cz8H4jfWnkZpcCF3vs4EF/tz kEMs8+ju50R0I8xIC50Dk3x/7dkeDuQ643HgT3UOCp9qtBue4EDWg+4Pm795 QU/by2rSInb0uKLgEf+IF0j17ja8/MuGqtXo3lQ1eoGAVEXQZSM2pGnY/NMy zwsSRCqujGWzotai2x8For3Ad3lVp2iMBTHxtXvTuXlByOEzVEf+3Y8l4cu9 Ose8gKQvI/uMDhOK64+1ymbygobk2h/mNozIN3prg3TLEzq+k1N3PqZDn/c4 JzSeewLRrLrRlI8CpTcvGsrYewIvp1X9wBQpElHYjblI8ATCoXtF4hwHmFma R92MuCdculNOwvL4F0Y+IXqW4acHzFxL/T6d2YOdnqNXeZfm8W+elXD4EdKJ f+z0P8150QMEJYueFQu/x63MqGVDnf75699co+Rfwx3956kTZDxg6bvbsu4u CdF6d4700Et3iFyRnlHjIieS9gyxyTe7g9r9TRZ6CUriIOOb72FF7rD94oKS KwMNUY3byNwmwB0e+1fwLS7QEhVeyN3ZsHYHA8ILsKumIy5+PcpZA+5g+vOL BP1XBiKLuYO4P5M7ZJN36LHVMRIjfWSyvm+7wZxlfke1PRPxYZZTTvy8G5jQ Na+m/2UiDqk0Hz457AbyJqpuHDeZiTP41gRlmxvkqpllJx1mIdKnLo/8uOsG RRsiVErRLMQwRvv3q8luUJL7UcX9IwtR8gHV68PhbjBlUFPtLstKPPWirVjT xQ2iZR69j/FjJb6fPMGaYeAGfS58JrR5rMQjCrps20pusE7JFaP/kJW4offw WpSAG8ih4Z/JTazE4tiTypy0bvDw6Dkp/nusRDndCqaXP10hoDfr7d+rrMSK RImtO59coftBcFCaAStRIHt2KGbQFf6UknDFULAS71uphMU0uwJt47PL/nUs xDylxKn8EldY+aaMbeqxEBWLFd8PJrtCrc3HQ48mmIkvdvLcWC+6AjuVRqy2 BTOxupXDKtzNFXTIRy1NnzMRBTUYctaMXcHXkUfUX4yJGLf5kTZO1RVYa9tw YioDUfle/NE1RlcgEaqS/0xPTxQK4fpvcNcFQpvpp4Uv0xGP8VJ87FhyAaN7 +vzr7DTE0Qe2Zkud//QLjxbCUkiJu+cC+GxDXKDwolRWIOMB7tMqtPPDyQX+ LBw8IdvYxj2UxYfvGLqArfyPOs3oDVzdq+TrSTEXuHZ6XtfveD3OeymTi7rR GUj0Zdrc+4ewv4Tv1kW3nMFsyv3nQcsnbPLw9ISTtzP46dzJTRtfw1b+Xsc9 +Z2BlWrgY6MYKVq7NB4QneIEnAW+79pPk6OJzPHpAG8nELrrpjRnT4nyLN3n bp52grk8476aczRIlFdmWnPvLJRYa7gNOxxGoi/nvT68PQubvBECgqeOoOiL Eg0lLWchVtbX7VgQI7pFq99WHnQWvM0v3vhswISiC8upF4zPAp92pYAyLzMS uZyobSp9Fvh9zx9WLmFBEuc/1BcsOMJqXlJTuTkr+lk7FHKl2xFoOdy09HZY 0QNVS4ukUkf48TbI4xWBHZEVHOtkd3YEp6jICtmv7ChP7YN+l5ojFMbobzol c6DUkk2NYnZHqFIVrt9+womIR20TPg47AI2cuECfPhdKjL/nr3XfATzoZgok R7nQBIPNl8kbDiBG4Y379XAjRvEfVbGaDiDsKuf+UJEHpS+M3CjkdwAk/R+H YT4PatTi4J3bsYfn5EoOP37xIM2pU3LWb+1hJ9m3TlefF5HC2M1fLfag6Pk0 gzaLF3Uwa/