O-/𖣠⚪∣❁∣ᙁᑐᑕ∣옷⚪𔗢⚪🞋⚪𔗢⚪옷∣ᑐᑕᙁ∣❁∣⚪𖣠/𖣠⚪ᕤᕦИNꖴ✤ᑎߦᙏⓄᑐᑕ⚪𔗢⚪🞋⚪𔗢⚪ᑐᑕⓄᙏߦᑎ✤ꖴИNᕤᕦ⚪𖣠/𖣠⚪ᗱᗴᴥᗩᗯ✤ꗳⓄᔓᔕ⚪𔗢⚪🞋⚪𔗢⚪ᔓᔕⓄꗳ✤ᗯᗩᴥᗱᗴ⚪𖣠/𖣠⚪ᙏᗩᴥꗳᙁⓄᗯ⚪𔗢⚪🞋⚪𔗢⚪ᗯⓄᙁꗳᴥᗩᙏ⚪𖣠/𖣠⚪ᗩᑐᑕꖴ✤ᗩᙏᗱᗴ옷✤ᗩᙏ⚪𔗢⚪🞋⚪𔗢⚪ᙏᗩ✤옷ᗱᗴᙏᗩ✤ꖴᑐᑕᗩ⚪𖣠/⚪ИN⚪Ⓞ⚪ꖴ⚪✤⚪ᑐᑕ⚪ИN⚪ᑎ⚪ꗳ⚪◯⚪ᔓᔕ⚪ᑎ⚪ꖴ⚪⚭⚪ᗩ⚪ꗳ⚪◌⚪◌⚪◌⚪◌⚪◌⚪◌⚪ꗳ⚪ᗩ⚪⚭⚪ꖴ⚪ᑎ⚪ᔓᔕ⚪◯⚪ꗳ⚪ᑎ⚪ИN⚪ᑐᑕ⚪✤⚪ꖴ⚪Ⓞ⚪ИN⚪/BИ..⚪ᔓᔕ⚪✤⚪Ⓞ⚪ᙁ⚪ߦ⚪◯⚪ᗱᗴ⚪ᴥ⚪ᑎ⚪✤⚪ᗩ⚪ᗯ⚪ᴥ⚪ᑎ⚪ᑐᑕ⚪⊚⚪ᔓᔕ⚪ᑎ⚪ꖴ⚪8⚪ᗩ⚪ꗳ⚪⊕⚪ᗱᗴ⚪ИN⚪ꖴ⚪ᔓᔕ⚪Ⓞ⚪ᑐᑕ⚪⊕⚪ᴥ⚪ᗩ⚪ᗱᗴ⚪ИN⚪ꖴ⚪ᙁ⚪◌⚪◌⚪◌⚪◌⚪◌⚪◌⚪ᙁ⚪ꖴ⚪ИN⚪ᗱᗴ⚪ᗩ⚪ᴥ⚪⊕⚪ᑐᑕ⚪Ⓞ⚪ᔓᔕ⚪ꖴ⚪ИN⚪ᗱᗴ⚪⊕⚪ꗳ⚪ᗩ⚪8⚪ꖴ⚪ᑎ⚪ᔓᔕ⚪⊚⚪ᑐᑕ⚪ᑎ⚪ᴥ⚪ᗯ⚪ᗩ⚪✤⚪ᑎ⚪ᴥ⚪ᗱᗴ⚪◯⚪ߦ⚪ᙁ⚪Ⓞ⚪✤⚪ᔓᔕ⚪..NB
2024-04-17 19:51:30 +00:00

4493 lines
250 KiB
Mathematica

(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Mathematica 12.2' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 158, 7]
NotebookDataLength[ 251697, 4484]
NotebookOptionsPosition[ 250983, 4464]
NotebookOutlinePosition[ 251413, 4481]
CellTagsIndexPosition[ 251370, 4478]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[BoxData[{
RowBox[{"ClearAll", "[",
RowBox[{"iCurvaturePlotHelper", ",", " ", "CurvaturePlot"}], "]"}], "\n",
RowBox[{
RowBox[{"iCurvaturePlotHelper", "[",
RowBox[{
RowBox[{"f_", "?",
RowBox[{"(",
RowBox[{
RowBox[{
RowBox[{"Head", "[", "#", "]"}], " ", "=!=", " ", "List"}], " ",
"&"}], ")"}]}], ",", " ",
RowBox[{"{",
RowBox[{"t_", ",", " ", "tmin_", ",", " ", "tmax_"}], "}"}], ",", " ",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"x0_", ",", " ", "y0_"}], "}"}], ",", " ", "\[Theta]0_"}],
"}"}], ",", " ",
RowBox[{"opts", " ", ":", " ",
RowBox[{"OptionsPattern", "[", "]"}]}]}], "]"}], " ", ":=", " ",
RowBox[{"Module", "[",
RowBox[{
RowBox[{"{",
RowBox[{
"sol", ",", " ", "\[Theta]", ",", " ", "x", ",", " ", "y", ",", " ",
"if"}], "}"}], ",", "\n", " ",
RowBox[{
RowBox[{"sol", " ", "=", " ",
RowBox[{"NDSolve", "[",
RowBox[{
RowBox[{"{", "\n", " ",
RowBox[{
RowBox[{
RowBox[{
RowBox[{"\[Theta]", "'"}], "[", "t", "]"}], " ", "==", " ", "f"}],
",", "\n", " ",
RowBox[{
RowBox[{
RowBox[{"x", "'"}], "[", "t", "]"}], " ", "==", " ",
RowBox[{"Cos", "[",
RowBox[{"\[Theta]", "[", "t", "]"}], "]"}]}], ",", "\n", " ",
RowBox[{
RowBox[{
RowBox[{"y", "'"}], "[", "t", "]"}], " ", "==", " ",
RowBox[{"Sin", "[",
RowBox[{"\[Theta]", "[", "t", "]"}], "]"}]}], ",", "\n", " ",
RowBox[{
RowBox[{"\[Theta]", "[", "tmin", "]"}], " ", "==", " ",
"\[Theta]0"}], ",", "\n", " ",
RowBox[{
RowBox[{"x", "[", "tmin", "]"}], " ", "==", " ", "x0"}], ",", "\n",
" ",
RowBox[{
RowBox[{"y", "[", "tmin", "]"}], " ", "==", " ", "y0"}]}], "\n",
" ", "}"}], ",", " ",
RowBox[{"{",
RowBox[{"x", ",", " ", "y"}], "}"}], ",", " ",
RowBox[{"{",
RowBox[{"t", ",", " ", "tmin", ",", " ", "tmax"}], "}"}], ",", " ",
"opts"}], "]"}]}], ";", "\n", " ",
RowBox[{"if", " ", "=", " ",
RowBox[{
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"x", "[", "#", "]"}], ",", " ",
RowBox[{"y", "[", "#", "]"}]}], "}"}], " ", "&"}], " ", "/.", " ",
RowBox[{"First", "[", "sol", "]"}]}]}], ";", "\n", " ", "if"}]}],
"]"}]}], "\n",
RowBox[{
RowBox[{"CurvaturePlot", "[",
RowBox[{"f_", ",", " ",
RowBox[{"{",
RowBox[{"t_", ",", " ", "tmin_", ",", " ", "tmax_"}], "}"}], ",", " ",
RowBox[{"opts", " ", ":", " ",
RowBox[{"OptionsPattern", "[", "]"}]}]}], "]"}], " ", ":=", " ",
RowBox[{"CurvaturePlot", "[",
RowBox[{"f", ",", " ",
RowBox[{"{",
RowBox[{"t", ",", " ", "tmin", ",", " ", "tmax"}], "}"}], ",", " ",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"0", ",", " ", "0"}], "}"}], ",", " ", "0"}], "}"}], ",", " ",
"opts"}], "]"}]}], "\n",
RowBox[{
RowBox[{
RowBox[{"CurvaturePlot", "[",
RowBox[{"f_", ",", " ",
RowBox[{"{",
RowBox[{"t_", ",", " ", "tmin_", ",", " ", "tmax_"}], "}"}], ",", " ",
RowBox[{"p", " ", ":", " ",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"x0_", ",", " ", "y0_"}], "}"}], ",", " ", "\[Theta]0_"}],
"}"}]}], ",", " ",
RowBox[{"opts", " ", ":", " ",
RowBox[{"OptionsPattern", "[", "]"}]}]}], "]"}], " ", ":=", " ",
RowBox[{"Module", "[",
RowBox[{
RowBox[{"{",
RowBox[{
"\[Theta]", ",", " ", "x", ",", " ", "y", ",", " ", "sol", ",", " ",
"rlsplot", ",", " ", "rlsndsolve", ",", " ", "if", ",", " ", "ifs"}],
"}"}], ",", "\n", " ",
RowBox[{
RowBox[{"rlsplot", " ", "=", " ",
RowBox[{"FilterRules", "[",
RowBox[{
RowBox[{"{", "opts", "}"}], ",", " ",
RowBox[{"Options", "[", "ParametricPlot", "]"}]}], "]"}]}], ";",
RowBox[{"rlsndsolve", " ", "=", " ",
RowBox[{"FilterRules", "[",
RowBox[{
RowBox[{"{", "opts", "}"}], ",", " ",
RowBox[{"Options", "[", "NDSolve", "]"}]}], "]"}]}], ";", "\n", " ",
RowBox[{"If", "[",
RowBox[{
RowBox[{
RowBox[{"Head", "[", "f", "]"}], " ", "===", " ", "List"}], ",",
"\n", " ",
RowBox[{
RowBox[{"ifs", " ", "=", " ",
RowBox[{
RowBox[{
RowBox[{"iCurvaturePlotHelper", "[",
RowBox[{"#", ",", " ",
RowBox[{"{",
RowBox[{"t", ",", " ", "tmin", ",", " ", "tmax"}], "}"}], ",",
" ", "p", ",", " ",
RowBox[{"Evaluate", "@",
RowBox[{"(",
RowBox[{"Sequence", " ", "@@", " ", "rlsndsolve"}], ")"}]}]}],
"]"}], " ", "&"}], " ", "/@", " ", "f"}]}], ";", "\n", " ",
RowBox[{"ParametricPlot", "[",
RowBox[{
RowBox[{"Evaluate", "[",
RowBox[{
RowBox[{
RowBox[{"#", "[", "tplot", "]"}], " ", "&"}], " ", "/@", " ",
"ifs"}], "]"}], ",", " ",
RowBox[{"{",
RowBox[{"tplot", ",", " ", "tmin", ",", " ", "tmax"}], "}"}], ",",
" ",
RowBox[{"Evaluate", "@",
RowBox[{"(",
RowBox[{"Sequence", " ", "@@", " ", "rlsplot"}], ")"}]}]}],
"]"}]}], "\n", " ", ",", "\n", " ",
RowBox[{
RowBox[{"if", " ", "=", " ",
RowBox[{"iCurvaturePlotHelper", "[",
RowBox[{"f", ",", " ",
RowBox[{"{",
RowBox[{"t", ",", " ", "tmin", ",", " ", "tmax"}], "}"}], ",",
" ", "p", ",", " ",
RowBox[{"Evaluate", "@",
RowBox[{"(",
RowBox[{"Sequence", " ", "@@", " ", "rlsndsolve"}], ")"}]}]}],
"]"}]}], ";", "\n", " ",
RowBox[{"ParametricPlot", "[",
RowBox[{
RowBox[{"Evaluate", "[",
RowBox[{"if", "[", "tplot", "]"}], "]"}], ",", " ",
RowBox[{"{",
RowBox[{"tplot", ",", " ", "tmin", ",", " ", "tmax"}], "}"}], ",",
" ",
RowBox[{"Evaluate", "@",
RowBox[{"(",
RowBox[{"Sequence", " ", "@@", " ", "rlsplot"}], ")"}]}]}],
"]"}]}]}], "\n", " ", "]"}]}]}], "]"}]}], ";"}]}], "Input",
TextAlignment->Center,
FontFamily->"Microsoft Sans Serif",
FontSize->9,
FontWeight->"Normal",
CellLabel->
"In[241]:=",ExpressionUUID->"296ee68d-611b-4f39-8505-8dc995c0ca11"],
Cell[BoxData[{
RowBox[{
RowBox[{
RowBox[{"ariasD", "[", "0", "]"}], " ", "=", " ", "1"}], ";"}], "\n",
RowBox[{
RowBox[{
RowBox[{"ariasD", "[",
RowBox[{"n_Integer", "?", "Positive"}], "]"}], " ", ":=", " ",
RowBox[{
RowBox[{"ariasD", "[", "n", "]"}], " ", "=", " ",
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
RowBox[{"2", "^",
RowBox[{"(",
RowBox[{
RowBox[{"(",
RowBox[{
RowBox[{"k", " ",
RowBox[{"(",
RowBox[{"k", " ", "-", " ", "1"}], ")"}]}], " ", "-", " ",
RowBox[{"n", " ",
RowBox[{"(",
RowBox[{"n", " ", "-", " ", "1"}], ")"}]}]}], ")"}], "/",
"2"}], ")"}]}], " ",
RowBox[{
RowBox[{"ariasD", "[", "k", "]"}], "/",
RowBox[{
RowBox[{"(",
RowBox[{"n", " ", "-", " ", "k", " ", "+", " ", "1"}], ")"}],
"!"}]}]}], ",", " ",
RowBox[{"{",
RowBox[{"k", ",", " ", "0", ",", " ",
RowBox[{"n", " ", "-", " ", "1"}]}], "}"}]}], "]"}], "/",
RowBox[{"(",
RowBox[{
RowBox[{"2", "^", "n"}], " ", "-", " ", "1"}], ")"}]}]}]}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"iFabiusF", "[", "x_", "]"}], ":=",
RowBox[{"Module", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"prec", "=",
RowBox[{"Precision", "[", "x", "]"}]}], ",", "n", ",", "p", ",", "q",
",", "s", ",", "tol", ",", "w", ",", "y", ",", "z"}], "}"}], ",",
RowBox[{
RowBox[{"If", "[",
RowBox[{
RowBox[{"x", "<", "0"}], ",",
RowBox[{"Return", "[",
RowBox[{"0", ",", "Module"}], "]"}]}], "]"}], ";",
RowBox[{"tol", "=",
RowBox[{"10", "^",
RowBox[{"(",
RowBox[{"-", "prec"}], ")"}]}]}], ";", "\[IndentingNewLine]",
RowBox[{"z", "=",
RowBox[{"SetPrecision", "[",
RowBox[{"x", ",", "Infinity"}], "]"}]}], ";",
RowBox[{"s", "=", "1"}], ";",
RowBox[{"y", "=", "0"}], ";", "\[IndentingNewLine]",
RowBox[{"z", "=",
RowBox[{"If", "[",
RowBox[{
RowBox[{"0", "\[LessEqual]", "z", "\[LessEqual]", "2"}], ",",
RowBox[{"1", "-",
RowBox[{"Abs", "[",
RowBox[{"1", "-", "z"}], "]"}]}], ",",
RowBox[{
RowBox[{"q", "=",
RowBox[{"Quotient", "[",
RowBox[{"z", ",", "2"}], "]"}]}], ";", "\[IndentingNewLine]",
RowBox[{"If", "[",
RowBox[{
RowBox[{
RowBox[{"ThueMorse", "[", "q", "]"}], "\[Equal]", "1"}], ",",
RowBox[{"s", "=",
RowBox[{"-", "1"}]}]}], "]"}], ";", "\[IndentingNewLine]",
RowBox[{"1", "-",
RowBox[{"Abs", "[",
RowBox[{"1", "-", "z", "+",
RowBox[{"2", " ", "q"}]}], "]"}]}]}]}], "]"}]}], ";",
"\[IndentingNewLine]",
RowBox[{"While", "[",
RowBox[{
RowBox[{"z", ">", "0"}], ",",
RowBox[{
RowBox[{"n", "=",
RowBox[{"-",
RowBox[{"Floor", "[",
RowBox[{"RealExponent", "[",
RowBox[{"z", ",", "2"}], "]"}], "]"}]}]}], ";",
RowBox[{"p", "=",
RowBox[{"2", "^", "n"}]}], ";", "\[IndentingNewLine]",
RowBox[{"z", "-=",
RowBox[{"1", "/", "p"}]}], ";",
RowBox[{"w", "=", "1"}], ";", "\[IndentingNewLine]",
RowBox[{"Do", "[",
RowBox[{
RowBox[{
RowBox[{"w", "=",
RowBox[{
RowBox[{"ariasD", "[", "m", "]"}], "+",
RowBox[{"p", " ", "z", " ",
RowBox[{"w", "/",
RowBox[{"(",
RowBox[{"n", "-", "m", "+", "1"}], ")"}]}]}]}]}], ";",
RowBox[{"p", "/=", "2"}]}], ",",
RowBox[{"{",
RowBox[{"m", ",", "n"}], "}"}]}], "]"}], ";",
"\[IndentingNewLine]",
RowBox[{"y", "=",
RowBox[{"w", "-", "y"}]}], ";", "\[IndentingNewLine]",
RowBox[{"If", "[",
RowBox[{
RowBox[{
RowBox[{"Abs", "[", "w", "]"}], "<",
RowBox[{
RowBox[{"Abs", "[", "y", "]"}], " ", "tol"}]}], ",",
RowBox[{"Break", "[", "]"}]}], "]"}]}]}], "]"}], ";",
"\[IndentingNewLine]",
RowBox[{"SetPrecision", "[",
RowBox[{
RowBox[{"s", " ",
RowBox[{"Abs", "[", "y", "]"}]}], ",", "prec"}], "]"}]}]}], "]"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"FabiusF", "[", "Infinity", "]"}], " ", "=", " ",
RowBox[{"Interval", "[",
RowBox[{"{",
RowBox[{
RowBox[{"-", "1"}], ",", " ", "1"}], "}"}], "]"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{
RowBox[{"FabiusF", "[",
RowBox[{"x_", "?", "NumberQ"}], "]"}], " ", "/;", " ",
RowBox[{"If", "[",
RowBox[{
RowBox[{
RowBox[{"Im", "[", "x", "]"}], " ", "==", " ", "0"}], ",", " ",
RowBox[{"TrueQ", "[",
RowBox[{
RowBox[{
RowBox[{"Composition", "[",
RowBox[{
RowBox[{
RowBox[{"BitAnd", "[",
RowBox[{"#", ",", " ",
RowBox[{"#", " ", "-", " ", "1"}]}], "]"}], " ", "&"}], ",",
" ", "Denominator"}], "]"}], "[", "x", "]"}], " ", "==", " ",
"0"}], "]"}], ",", " ", "False"}], "]"}]}], " ", ":=", " ",
RowBox[{"iFabiusF", "[", "x", "]"}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{
RowBox[{"Derivative", "[", "n_Integer", "]"}], "[", "FabiusF", "]"}], " ",
":=", " ",
RowBox[{
RowBox[{
RowBox[{"2", "^",
RowBox[{"(",
RowBox[{"n", " ",
RowBox[{
RowBox[{"(",
RowBox[{"n", " ", "+", " ", "1"}], ")"}], "/", "2"}]}], ")"}]}],
" ",
RowBox[{"FabiusF", "[",
RowBox[{
RowBox[{"2", "^", "n"}], " ", "#"}], "]"}]}], " ", "&"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"SetAttributes", "[",
RowBox[{"FabiusF", ",", " ",
RowBox[{"{",
RowBox[{"NumericFunction", ",", " ", "Listable"}], "}"}]}], "]"}],
";"}]}], "Input",
TextAlignment->Center,
FontFamily->"Microsoft Sans Serif",
FontSize->9,
FontWeight->"Normal",
CellLabel->
"In[245]:=",ExpressionUUID->"a1866c05-8c89-4940-9c99-4fff241dacfe"],
Cell[CellGroupData[{
Cell[BoxData[{
RowBox[{
RowBox[{
"\:26aa\:1d25\:26aa\:15e9\:26aa\:15f1\:15f4\:26aa\:0418N\:26aa\:a5b4\:26aa\
\:1641\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\
\:26aa\:1641\:26aa\:a5b4\:26aa\:0418N\:26aa\:15f1\:15f4\:26aa\:15e9\:26aa\
\:1d25\:26aa", " ", "=", " ",
RowBox[{
RowBox[{"ArcCos", "[",
RowBox[{"Cos", "[", " ",
RowBox[{"2", "*", "X"}], "]"}], "]"}], "/", "\[Pi]"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
"\:26aa\:15f1\:15f4\:26aa\:0418N\:26aa\:a5b4\:26aa\:1513\:1515\:26aa\:24c4\
\:26aa\:1450\:1455\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\
\:26aa\:25cc\:26aa\:1450\:1455\:26aa\:24c4\:26aa\:1513\:1515\:26aa\:a5b4\:26aa\
\:0418N\:26aa\:15f1\:15f4\:26aa", " ", "=", " ",
RowBox[{
RowBox[{"(",
RowBox[{"1", "-",
RowBox[{"Cos", "[",
RowBox[{"2", " ", "X"}], "]"}]}], ")"}], "/", "2"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
"\:26aa\:1513\:1515\:26aa\:144e\:26aa\:a5b4\:26aa8\:26aa\:15e9\:26aa\:a5f3\
\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\
\:a5f3\:26aa\:15e9\:26aa8\:26aa\:a5b4\:26aa\:144e\:26aa\:1513\:1515\:26aa",
" ", "=", " ",
RowBox[{"Abs", "[",
RowBox[{"FabiusF", "[",
RowBox[{
RowBox[{"X", "/", "\[Pi]"}], "*", "2"}], "]"}], "]"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{"GraphicsGrid", "[", "\[IndentingNewLine]",
RowBox[{
RowBox[{"{", "\[IndentingNewLine]",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"Plot", "[",
RowBox[{
"\:26aa\:1d25\:26aa\:15e9\:26aa\:15f1\:15f4\:26aa\:0418N\:26aa\:a5b4\
\:26aa\:1641\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\
\:25cc\:26aa\:1641\:26aa\:a5b4\:26aa\:0418N\:26aa\:15f1\:15f4\:26aa\:15e9\
\:26aa\:1d25\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", "0", ",",
RowBox[{"4", "\[Pi]"}]}], "}"}], ",",
RowBox[{"Axes", "->", "True"}], ",",
RowBox[{"AspectRatio", "->",
RowBox[{".5", "/", "\[Pi]"}]}], ",",
RowBox[{"Frame", "\[Rule]", "True"}], ",",
RowBox[{"FrameTicks", "->",
RowBox[{"{",
RowBox[{"Automatic", ",",
RowBox[{"{", "1", "}"}]}], "}"}]}]}], "]"}], ",",
RowBox[{"CurvaturePlot", "[",
RowBox[{
"\:26aa\:1d25\:26aa\:15e9\:26aa\:15f1\:15f4\:26aa\:0418N\:26aa\:a5b4\
\:26aa\:1641\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\
\:25cc\:26aa\:1641\:26aa\:a5b4\:26aa\:0418N\:26aa\:15f1\:15f4\:26aa\:15e9\
\:26aa\:1d25\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", "0", ",",
RowBox[{"4", " ", "\[Pi]"}]}], "}"}], ",",
RowBox[{"Axes", "->", "True"}]}], "]"}], ",",
RowBox[{"Plot", "[",
RowBox[{
"\:26aa\:1d25\:26aa\:15e9\:26aa\:15f1\:15f4\:26aa\:0418N\:26aa\:a5b4\
\:26aa\:1641\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\
\:25cc\:26aa\:1641\:26aa\:a5b4\:26aa\:0418N\:26aa\:15f1\:15f4\:26aa\:15e9\
\:26aa\:1d25\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", " ", "0", ",", " ",
RowBox[{"4", " ", "\[Pi]"}]}], "}"}], ",", " ",
RowBox[{"Axes", " ", "->", " ", "True"}], ",",
RowBox[{"AspectRatio", "->",
RowBox[{".5", "/", "\[Pi]"}]}], ",",
RowBox[{"Frame", "\[Rule]", "True"}], ",",
RowBox[{"FrameTicks", "->",
RowBox[{"{",
RowBox[{"Automatic", ",",
RowBox[{"{", "1", "}"}]}], "}"}]}]}], "]"}]}], "}"}], ",",
"\[IndentingNewLine]",
RowBox[{"{",
RowBox[{
RowBox[{"Plot", "[",
RowBox[{
"\:26aa\:15f1\:15f4\:26aa\:0418N\:26aa\:a5b4\:26aa\:1513\:1515\:26aa\
\:24c4\:26aa\:1450\:1455\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\
\:25cc\:26aa\:25cc\:26aa\:1450\:1455\:26aa\:24c4\:26aa\:1513\:1515\:26aa\:a5b4\
\:26aa\:0418N\:26aa\:15f1\:15f4\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", "0", ",",
RowBox[{"4", " ", "\[Pi]"}]}], "}"}], ",",
RowBox[{"Axes", "->", "True"}], ",",
RowBox[{"AspectRatio", "->",
RowBox[{".5", "/", "\[Pi]"}]}], ",",
RowBox[{"Frame", "\[Rule]", "True"}], ",",
RowBox[{"FrameTicks", "->",
RowBox[{"{",
RowBox[{"Automatic", ",",
RowBox[{"{", "1", "}"}]}], "}"}]}]}], "]"}], ",",
RowBox[{"CurvaturePlot", "[",
RowBox[{
"\:26aa\:15f1\:15f4\:26aa\:0418N\:26aa\:a5b4\:26aa\:1513\:1515\:26aa\
\:24c4\:26aa\:1450\:1455\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\
\:25cc\:26aa\:25cc\:26aa\:1450\:1455\:26aa\:24c4\:26aa\:1513\:1515\:26aa\:a5b4\
\:26aa\:0418N\:26aa\:15f1\:15f4\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", "0", ",",
RowBox[{"4", " ", "\[Pi]"}]}], "}"}], ",", " ",
RowBox[{"Axes", " ", "->", " ", "True"}]}], "]"}], ",",
RowBox[{"Plot", "[",
RowBox[{
"\:26aa\:15f1\:15f4\:26aa\:0418N\:26aa\:a5b4\:26aa\:1513\:1515\:26aa\
\:24c4\:26aa\:1450\:1455\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\
\:25cc\:26aa\:25cc\:26aa\:1450\:1455\:26aa\:24c4\:26aa\:1513\:1515\:26aa\:a5b4\
\:26aa\:0418N\:26aa\:15f1\:15f4\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", "0", ",",
RowBox[{"4", " ", "\[Pi]"}]}], "}"}], ",",
RowBox[{"Axes", "->", "True"}], ",",
RowBox[{"AspectRatio", "->",
RowBox[{".5", "/", "\[Pi]"}]}], ",",
RowBox[{"Frame", "\[Rule]", "True"}], ",",
RowBox[{"FrameTicks", "->",
RowBox[{"{",
RowBox[{"Automatic", ",",
RowBox[{"{", "1", "}"}]}], "}"}]}]}], "]"}]}], "}"}], ",",
"\[IndentingNewLine]",
RowBox[{"{",
RowBox[{
RowBox[{"Plot", "[",
RowBox[{
"\:26aa\:1513\:1515\:26aa\:144e\:26aa\:a5b4\:26aa8\:26aa\:15e9\:26aa\
\:a5f3\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\
\:26aa\:a5f3\:26aa\:15e9\:26aa8\:26aa\:a5b4\:26aa\:144e\:26aa\:1513\:1515\
\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", "0", ",",
RowBox[{"4", "\[Pi]"}]}], "}"}], ",",
RowBox[{"Axes", "->", "True"}], ",",
RowBox[{"AspectRatio", "->",
RowBox[{".5", "/", "\[Pi]"}]}], ",",
RowBox[{"Frame", "\[Rule]", "True"}], ",",
RowBox[{"FrameTicks", "->",
RowBox[{"{",
RowBox[{"Automatic", ",",
RowBox[{"{", "1", "}"}]}], "}"}]}]}], "]"}], ",",
RowBox[{"CurvaturePlot", "[",
RowBox[{
"\:26aa\:1513\:1515\:26aa\:144e\:26aa\:a5b4\:26aa8\:26aa\:15e9\:26aa\
\:a5f3\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\
\:26aa\:a5f3\:26aa\:15e9\:26aa8\:26aa\:a5b4\:26aa\:144e\:26aa\:1513\:1515\
\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", "0", ",",
RowBox[{"4", " ", "\[Pi]"}]}], "}"}], ",", " ",
RowBox[{"Axes", " ", "\[Rule]", " ", "True"}]}], "]"}], ",",
RowBox[{"Plot", "[",
RowBox[{
"\:26aa\:1513\:1515\:26aa\:144e\:26aa\:a5b4\:26aa8\:26aa\:15e9\:26aa\
\:a5f3\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\:26aa\:25cc\
\:26aa\:a5f3\:26aa\:15e9\:26aa8\:26aa\:a5b4\:26aa\:144e\:26aa\:1513\:1515\
\:26aa", ",",
RowBox[{"{",
RowBox[{"X", ",", "0", ",",
RowBox[{"4", " ", "\[Pi]"}]}], "}"}], ",",
RowBox[{"Axes", "->", "True"}], ",",
RowBox[{"AspectRatio", "->",
RowBox[{".5", "/", "\[Pi]"}]}], ",",
RowBox[{"Frame", "\[Rule]", "True"}], ",",
RowBox[{"FrameTicks", "->",
RowBox[{"{",
RowBox[{"Automatic", ",",
RowBox[{"{", "1", "}"}]}], "}"}]}]}], "]"}]}], "}"}]}],
"\[IndentingNewLine]", "}"}], ",", "\[IndentingNewLine]",
RowBox[{"ImageSize", " ", "\[Rule]", " ", "Full"}]}], "]"}]}], "Input",
TextAlignment->Center,
FontFamily->"Microsoft Sans Serif",
FontSize->9,
FontWeight->"Normal",
CellLabel->
"In[704]:=",ExpressionUUID->"1aae1426-b766-4f8b-92e1-3d50595c1240"],
Cell[BoxData[
GraphicsBox[{{}, {{InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], LineBox[CompressedData["
1:eJw1mXk01P/3x4XsiRFmsgyTYSxFJaXo3qRkCVF9tCGEKGkhyVYJ2ZK1LCFL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"]]},
Annotation[#, "Charting`Private`Tag$419314#1"]& ]}, {}},
AspectRatio->0.15915494309189535`,
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{True, True}, {True, True}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{{{1,
FormBox["1", TraditionalForm]}}, {{1,
FormBox["1", TraditionalForm]}}}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" ->
None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->
NCache[{{0, 4 Pi}, {0., 0.9994795483269545}}, {{
0, 12.566370614359172`}, {0., 0.9994795483269545}}],
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {193.5, -85.03098902485264},
ImageScaled[{0.5, 0.5}], {360., 158.19718888344678}], InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], FaceForm[Opacity[0.3]], LineBox[CompressedData["
1:eJxc23c8le//B/Bjz5OWUUllJBUtPhXxvorQFIlCJUKkFMoooyhUIoQKWSUh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"]]},
Annotation[#, "Charting`Private`Tag$419400#1"]& ]}, {}},
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"ScalingFunctions" -> None},
PlotRange->{{-1.8700956700898044`,
1.8700957441493542`}, {-3.25059616049615*^-7, 3.740191363303446}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.05],
Scaled[0.05]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {580.5, -85.03098902485264},
ImageScaled[{0.5, 0.5}], {360., 158.19718888344678}], InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], LineBox[CompressedData["
1:eJw1mXk01P/3x4XsiRFmsgyTYSxFJaXo3qRkCVF9tCGEKGkhyVYJ2ZK1LCFL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"]]},
Annotation[#, "Charting`Private`Tag$419433#1"]& ]}, {}},
AspectRatio->0.15915494309189535`,
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{True, True}, {True, True}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{{{1,
FormBox["1", TraditionalForm]}}, {{1,
FormBox["1", TraditionalForm]}}}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" ->
None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->
NCache[{{0, 4 Pi}, {0., 0.9994795483269545}}, {{
0, 12.566370614359172`}, {0., 0.9994795483269545}}],
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {967.5, -85.03098902485264},
ImageScaled[{0.5, 0.5}], {360., 158.19718888344678}]}, {InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], LineBox[CompressedData["
1:eJwtnHc4lt8fx62Q7JW9HySVCsn6nFBRkuyGkawkISEhSgjZCVkhpLK3siKS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"]]},
Annotation[#, "Charting`Private`Tag$419480#1"]& ]}, {}},
AspectRatio->0.15915494309189535`,
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{True, True}, {True, True}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{{{1,
FormBox["1", TraditionalForm]}}, {{1,
FormBox["1", TraditionalForm]}}}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" ->
None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->
NCache[{{0, 4 Pi}, {0., 0.999999331655351}}, {{
0, 12.566370614359172`}, {0., 0.999999331655351}}],
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {193.5, -255.09296707455792},
ImageScaled[{0.5, 0.5}], {360., 158.19718888344676}], InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], FaceForm[Opacity[0.3]], LineBox[CompressedData["
1:eJxc2nc8Vf//APBrr3srRSXZOyMphfB609AHoUSJ0NKgqUFmKqPMMhJFJUpU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"]]},
Annotation[#, "Charting`Private`Tag$419542#1"]& ]}, {}},
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"ScalingFunctions" -> None},
PlotRange->{{-1.8359754904091845`,
1.8359753490596793`}, {-3.752617332247342*^-8, 3.6719504143080828`}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.05],
Scaled[0.05]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {580.5, -255.09296707455792},
ImageScaled[{0.5, 0.5}], {360., 158.19718888344676}], InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], LineBox[CompressedData["
1:eJwtnHc4lt8fx62Q7JW9HySVCsn6nFBRkuyGkawkISEhSgjZCVkhpLK3siKS
ysqWvXlue4/f/b2uX/90va735z6fc59z357zelwlaP5Ax5KMhISEm4KE5L+/
yatofo/KhCuT/PfH95QSYbpSgS/yAZB4q/9NE8OUt3JPWPREPAWSoZiMPVEG
yFuDv0zZ/kAy5WNY9kIQxlltNoojQoEk95f9OdETEMzZSJddEQkk3SQO4fpy
kC5+K4kk+w2QpMzfonxxDqrPLEjpJr8FktptJ+nui9B7wbf2fUQSkJwyvC4v
chW2JGglPGrfAckmd7tnoS74n+p0el+RCiT8mSySukbAKp9c8bvwPZCsiiyy
2RvDu3O2FBufM8A7Sa8+8tltOK4hfUUw4wM+//lXhGALqNDee30p+SN486V4
FbZbw1/TCLGEiBzwTqlre83zAPJOH5cbrc8FVKA7Nx7iCK5nIvtda/MA0e4T
7mQ/BAowJryrKADvIqPCEQ03aFKp/SFTWgjVCoijvd4dwi+I2TcVFgEijWv1
MfMEPq3F4uXPJWCmkZK44eYDY9cMbgZklUL109cCWivP4KN+xT5PRhmgT6T8
816+IGf8Qv1CcgWQpLnpYjX+oGPH2RsTUQXJQZbYlb0QoJWDquiL1UAy94qQ
8DgMFsocmYbrq0Gbbac1/kk4FH/tLHpUWwPavn2d4tGRoFqfvJdY8Q0cFMi8
9kRiQPRiu/b02TrQ9q68qXkzFmh+HEg9XVoHQ6p5QqSxcdDSbHuxsbAevOMP
bwdJJIBxh3TY4ucG4BAkKDbrvANkYD2iINkIG+flKdUPpYBId6y0X1Yj5FbI
mpk3pMBM3143V8YPcPjAomZ9KQ1cRxsF1ZJ/wsJRI0WTJxkQvnSrIDriDwic
ad+X9cuGV2xxitV0LVAdG84UEZQDbXkv+GV0WsC5p+Oo26VcuDlza5yvrwWa
te6Xt17PA/ubhxyX5lrBSP2wzrGwAohSsgmIZeyADuHW36rXS6GnR/cevX4H
qP/l+di7VQp8LqD1PLYDMsff7KknlkFGNjvrfaG/0MxJqps8Uw7l/PVJSLoT
5Gh+dY7HfIVBUqGSScNuiD+ndvNlWg2IJNLF3YrvhjbSLWUj8lqwkd/0aB3q
hv69sDeb5rWw5NSiUnG3BwzcmX59EvkGFGNev0Oe9ELI0LhPWl4dSHzvG5dJ
6ocvVCepLi40gEL9JRqVh0Pg/u5+K9vyb2DsSP9zJnIIeGSa1lrM/sDYCNnr
YwVDUNtodJ7+zx8IIang51wegsiRq8q+Bi0wonBUZsFpGBxiUo0tz7RCQP4h
s0SnEfDqM6vZJW+HzqTmoi3HMZCt1VU8XtsJDu5atwscpoA+T9ohOOEfXLJX
zKQOm4L7lPGuEv3/QNhcAjPOmYJTUqf+NXMNQqcGpSc1cQrO6dJTc8cMghJn
ZYzxvWkQTT2leltjCGhKj7VQWc3AMKvbZpHqMLxfpYVbN+eg9GVF16/To+A1
vfUiz30O8qwkY911RsFoYKqZMm4Odr5RJXA5jgJtfd2NvO45GB62ij6VPQpO
UR4ulAbz0NTK6VskNgbo9NznXG0iMJoJfHp3eBzul1qGkAkvQI3/yqWVyQn8
fb4mQCq9AOVdLF6vKCdhoUcxf19tAexV93YoCZPgvM3SuWO1ALd/5ZbG3J4E
d+Va3vWsBXhUfeWceM8k+NXxfZ49tQiOZ3/eeVYzBer6NDCjuoi/t+aSwwNT
cHBitWVKbxHyc7sWD29NQTDVr5Vxl0UIiPzlcujUNEReeqI4VL4IPNQPPuwk
TUNyS9fPDpUlsPWgkox/OAPmt78Zt+suwcT3ygL0agaEl7KxVoslaIsoSChK
n4F0Fj+WP35LoNb96Rd9zwx8NpC++aNpCdorhVSdFGahvD9s5qvOMrAbSYcn
rM2Cx30Pjy93lmG1iF6TlW4OlPas6Sucl4H/BNt7PeE5qOaHU6XRy+AduJ4s
dXUOGsznH+f3LgMr91fSy2lz0DGlcTDDfAWWWgxKilXnAYsVP//caQVQx4HX
1/XngeYylY/psxUINPhO02g1D+hz3cbhlBVI11f6TPlyHj46wlTA8Ap8kW19
Rv5zHr4L8YlYLq5AsTi0bPfOw1D7juk50lWIz/PJ/DozD+yy5V2bAquQ9iqZ
LOEgEZ5tSTfYmq2CyI3zzd/UiJDwkYX8osMqyFY/7yHVJULprSVlYe9VsDrT
HUt1mwjzlTnFfUmrEHJP0uiuBxGMnkukaw6uQj6V2PbTXCKcoBV4cdxkDVps
vRV+02Fw6eteNY39GgS+Igt7wIGBhf3AzoTnGsjzJIf+FcIgriXOOSlhDYQE
4ueJshhQvmazYBxYA5IHE+M6tzAQvLCSNDe3Bj5Uslpslhgorrf1Ne6sQZ2E
qfTb+xg4Xg/T9eFZB1XpY6sLnhj08x5SXbq5DkOt3j3VbzFY/z3t9fveOki5
T5a/TcGA2buxPOvJOnR/1Rc/+wED9ZEXp+68XYdvDxRQRREGdyIt7OHjOjSo
vixLqsDAS001i7tiHfoh+NaFGgwK0kmEOnrXoeTRr4aenxj8Nhw0zp1Zh/fG
7lbfWzCYoq6MDd5ah+v3y/uc/2JAXh7/14ZmA8ylxNjGezDgu/eE6TzXBsj/
0iI9/A+Dszw3rghKbEC3RmEozQgGer/kXu6e3YDHzX9yq8YxCDyxRlJ8fQNK
Azoc7ecwcHfVODphuwHX3buH0zAM7lbF67N7bICI6q+a8CUMjKgWnl54tQH/
SE5RyKzi93dVNcslcQNMUnriQ9YxkHsT3ZGeswG1/LPeiZsYiA9O73VWb4DX
p+F0i20MOMSUjlC1bYD2aDDl8A4GVA/CdM+MbgDzHGMsyx4Ga8WjntYrG2Dw
dsJoB+eJPdnMNwc2YSOo79zbfQw6LwS2NbBvgssp5msLOH8PGdhZF9uE4zOk
L7ZxLu6UEhM/uwl2Oy4DX3B+z+d7zejSJli8i7gpjXOUVdeTgJubML/VRGqO
j++bLZFearcJJw/Otp/fxcB5zbNlynMThGOZuwbx+d5Rbt3iCN2EPsliJqkt
DHT8RAgayZvwfSAxSHYDA5Xfrlcf523CV7mZK8v4epxi//n4Q+0mTLLQ3LFa
xkDIhC+tp30Tgk3qOkMX8Ocj3fH3wfFNKJw5VfxgHgNSYt3G2bVNKJX6xkA5
g8GCDIewLdUWxNPKLutMYDDkee9KHMcWGD9KcjTA96+lvtK16cgWCBy3SmDE
97eajjllS34L5B1VA33w/c/Vt2yW0NwCkdcqVz50YJCUULp2w3gLTD5W7/j/
wZ+3Y6aXK55ugbKEmo9tHQb2j/IfzYZtgU1CzEv7SgyMvx5I5k7ZAuajB8eP
lOLvw5VPK0/qtsBO7xJNQxYGkq/3+T79xftnjDN9SMWAZ0BHo39iC7gsT06p
xGOwbbeZoHhwG3zM6gMTgzGYKdRstOPaBprjKklmvhj07iQtxR/dhsqzXcx9
TzAoD75wcffKNszszRVt3sXA7VPkwteIbTidoBw4ooKBzcoEFzF1G+6cH5O0
k8PAUFH+PF/RNrRVwaucYxjINg/FenVtQ7jOWy2LwxiszB5TBZ4dCGakCg2a
JILj0cbX1e93wP5K0TrZEyKMWY55Jxfv4J+DyhP+dkQwSCax827YgZDW4oxm
YyLIs51VQdM7oDlRmRUNRCDb/0CsktyF6hZhIWkSIkS0BV2sKtgFmdSUpfZH
80BBl3kqqW4XtN9sHHe9Mw8uF+t4n/7dBfp30T3/tOfhxpedZeX1XSB7k1K/
IzEPQun3kyvl96BF8PAFj/45yH98dfNrzR4EZhQndEnPgUjhvbGEtj34Lvvh
ywzfHEQT/f94ju6B9drYfAP1HLjfqX6vdGAf9oe4mEf6ZkHlykmdr+r7EMLq
cDv56Sy0C7B8/PJnH3zIMhiTv87A1p172QP2JMipSl0vl30azJiW3b64kCDt
AQbO4p0pqK90V33rRYK2TZlZYkemIIwzsNsohATtL35W2Pg8BWJ/Msk6PpOg
oE/qIaKqU6AnP2HQNEeCfN8OaSdaT0I24+39YltS9KjKdXvm7TiYfzXQDrMi
Q/Gx13vKmobhVDEHM+cDMjRAr9/2I3MYyHJ629+5kiHD7x+V2vyGISXZxLAg
gAz5aVN0/lYZhpHnViadWWTorMvYrn/5EJhfcrHjwchQc0TkELnuIJh3vQ7I
dCVH7heFddNZ+uBUi+Glk97kqDeouU6hpRfIfnDSlgeQI8vox21Twb2QUp4Q
+jOWHKVznA8KoeyFkYT30cQKcrTyKqD3yHY3mFsUpUmTUCDbthLHDzOdcGex
o7o6gAId0uaZX51pAzP3MMPSMAokQGcnPJ7bBrfINYk5MRRI6YeJ6EHXNjBg
+8adlEmB5o57iy2Tt4H62TwXz0YK9HTqzY61QCsc93klKU99AH3vz7l36sdv
2GC8EFPgfwAlXzMcYEKNsBJLeuJj6AGkpig34NbfAItCX+tT3hxANqRsXE8f
N8CMtPRyeMYBFK8+avug6DsMGAlpOTQcQPLbo18OytRDbfIe+TEqSiSZT6H2
QK8WgqVKHqT7UaJbbVdtnyqUQ9OprolHIZTI7XSycFZaGVDLrBufj6ZEZvf+
8NxkKAPfs2c0x95TInGvnc9G0yXwRKVEXKieEjl4NfLs5xSBrV7JcAI5FVJU
xdibX+ZBpkGX0f1DVKiQY/OdEW0eTBit/1FkoUKSTJMng8Ny4bbxmco+ISqU
2SPjPKiQA0ZWJXGcKlRo4djD9cLYj3DRrUT3tTcVMruvf955Mw183buaLAKo
EGNg1F1amTSo9Vg/Jx1GhcRN9oPEnFNB2eeMVHsSFeq2z1BY2nkHsoEltExV
VAid7v6p6ZQIzsFdz4e+UyGpMu3Fi0IJkB+yvpXzmwp5i+ixOfe8hWORZ6a1
/lEhh2+XO5yMY0EkvqQ+eJcKCVyveBH8JQrME7sUbx2gRgJCdcUR6ZGQnLxe
cJSOGrXcu0ZPfBMBPO/PpDTxUKOwOVvpwrAwuJFhyBknQo2SXSU9r0iFQswH
17C7ktTI2+dX8/aVV8CSXeJFrUiNzIzZ37UUvQTt3K7VLlVqNJRE3ktBEgAh
+et2GZepEQkWXsx73Q9oSs7cvHATz0tP6bLLPQf1MsM2tjv4+OtXSMkqfcCv
wlVj3BbPtYjHZ3S8gay65IyvO95P7udwoO4TyKJjTt99hnNbkWR3ihvo3LRj
dQ2iRsjpAnsSmwtsZX5/thCJ99O2Yp79+BBS1wQW78bjuXf46ndLR9BUe2I6
mobnhZrTj/3sYSX8769bn/HxNB5ofA6wBbVjgVlXK/FcQzVG6s4dmHMf4/jx
HWeCeVyyghlENSr7q/zBOemlhlTJDVBkj12t6MI5iFJZ3U8fxu8s35EZwpl1
wCR5TBtC8q60ZU/hbOs4G5emAbL7GUh8EWfJkfBviSrwT5Ms590mzhuDdoUP
zoJf3C1ebrKDiGQo6sZ41Qk4PlUcFEWDc8xCYg+PIHTKMG3RseBcPX2Ht/cQ
eD2/Z+PPjTMJ24Oa1jFlsdb6ThKR/zjsxDujXOUWPoHz7pL/1cvsmgVuK7vZ
uRcsS+Ps0P22wpMdBMo7BO8r4TxleFH1pRg0Up0ImziPc3xPrpC4NDjov9wz
1cJZO9e6+YcycKSO2vUY4Gx0NKCk4zxULyj16Zji7GXqaHPnCtxVjtFotv7v
+hmfe9S6wBy8VHLeAed7LqL2REMo79EUrXLDOaH3SPodYzAXy4iS88H5kp3f
bsFtoHlESp7/8iDy/jU3kblrAfm1Nx2PRuBMV+j8PcQGbjAWD6bF4XzwxrEL
1nZAZsKoxZd6EKECausgVQf4+NH2y5uPOD/ammZ2dQK9zToJpkKcLx6rPPHb
GXYu8McGfjmIqjmjzbvUXUFzpP2R5y88x+y2YjM9YOXE8bG1v3g+OPc7/tVT
iPcM0HH4dxCZuXJy717ygXkOpRN3MLw+jqXzQoAvhFxNn1JnokFDcXciyv4G
gWwCiWEtJw0SGCm797fjFfybuVGvIESDvFMIj03HQ+GEH0PK8dM0KNne10aT
NwJavrjdZNWnQQ7DVFNqvdHgRtP+45UxDdLmZrYk5Y8BAaNjclRWeE4/nnXZ
LhYclodZt1xoECoaonESiAcmicu/B2Pw+uahIMn1ZJigSmJqTKZBLVEdX8Sz
30H5+JJebiYNCliuUmi0ScHPhXF93qU0SK7lWO74VCqUcsxMCXbj9Qz0MhdZ
M8CE6iW5xeFDiEToz0A/azacHu+/oMl/CIUdL7SOpcgB6m9SgdJih5AZSYpA
/XoO5Ht1Mx44cwhx2L2JP7aSCwfWxPjSDQ4hmwlf60Ob+fBp7Lvc1OtDqNRM
z1ZYpwR8ark8WhIOIamoVaqQsRL8PGJfVfoezxe3Hoe6lQLJLfYLL4sOoU82
vj+vvC8D3XZLXYm/h5CH16KJK9MX2KqhsLdjpUXODEckTsVWg3qSSupCBC2i
XDkxrqPyHfwbWwaevaVF1aQ9bzOyvsP3RRMOtjRaxNjwjLucpQHOqz15dbaI
FqWfyp1inGoAlekC12ddtCj6m7+wduwPUDxN0GTloUO+cuW/jXl+gVQD1eqZ
93QoN/nO+vHLbXAYa77wtIQe6ZkY3nN40Asx4VW3p6voESmfZdv3vF7gkM73
0G2kR1d/dRZIr+D8+E2+WA89anHOuqLzuA+4yM35WrbokeGPxURn337gO7y+
KqDMgCwPUv3QSfgHoiD4vraOAY2UvJDOshmGuIZyUvK7jIhvRKOjxXscFoZy
H2N2jMi+42UqJI7Dxa30xT4HRkR7W6o9pmIcViQjhwvdGFFt48kw6rVx0Iq4
V2MVwIiki58otN6dADJjHp+mDEa0y5dnlK45CfeWPEkiJhjRP8b5HDv8fFR7
yNnNa4YRxSeRUuvh5ycOgu2CLZERCb20tuKQmobvhgZDqmuMKHtg94PsnWkQ
+Hq8evUAE4q4fel1ZcM0dPgPPr1OYEKBIv3smS9nQJH33L6ABRP6bkQVeZs4
C+q3OpzMbZhQunxr2CrFHOi9tZ5ItWNCHesnhXW55+AeZ8gv0UdMaO9liuPd
i3MQx9b3VtKPCSn/Mxhcj5+DDbpHcnKZTGhlj+a1uhJ+Hr1C/enxJyakWTsY
qo6fPxmD3/JX5DIhSmlJVVr8fCpGU0upXMaEUsJsvAf858GAkuGvahMTksxw
0Er8PQ+Fe5mOV+eYkIqGYKyeNhGqlRTHwxaY0CeDsSxbUyI0e/wxalthQs00
fh/AngijW6ugv8uE4i5jtwlBRGBeV6G/Sc+MEozYcrtriMAn2+kTz8yMiHXP
mAZ/E0Hi0d3VAXZmtLZ+zDqljwjnlkP7zfiZUU6r+kHTFSI4YP1ZVlLMKO1y
sWAW7u8exx34MqWZUaHiIlsEft4PuE8eMS3HjJiJ76/J4D6QNHvksd05ZlTK
Rzf0SRODLImvc5/PMyOnYtZObwPcB+9qm2EazGhx5NwNBjPcpyddLjrpMCN6
RenbN51wHxGlqSgwYEafqwTDOXAfGbdMOL56gxmJ7Pp9CH2Owc7oNza3O8xI
XjFjOysSg6NDjGOezszoZIG7SkQuBlqTArUubsyoZls74nMxBg5EqeQHHsxI
4tX4ROAXDAp3tG/d9mVGc9nFKkENuL+S35a/EcCM2FVC+LKbMdigceTQDWZG
E79vZEa04r7FGd6hFsWMKt9HP07uxcBE4F2+Ugwzsrl3NeEH7nveYnlhsvHM
qC87TKwQ98GU4zX2J5KZUdH6JLUZ7ot1Mq2a4mnM6MRaz6lf07g/Kw5LCGbi
8/8y8mYb93tqtUVqrk/MqG3p0dFZ3O8lLpNOMucyI7dD+8Nvcb/X1GGqP1TI
jMbuD+fS4T5rf10wlaIU7/fOLQThfh9mdtJnt4IZ/zzhcJLG/T7f+pzpWhUz
UuGj05vG/bjD/poS9o0Z1V5/e8wU9/u1R7e5pxqYUf8Lks3XuF9zeDpuDv1k
RumlTnmvcP+W9/Xp6vmD70e7gO4F3M9vBYUXtbUzo6nQU31VOHtFvIv82cWM
JEMbL27hnByb51jXx4z0jXferOJcm1xz9esg/ny5DP3Mw3kso/VY8SgzUlf3
HjuOM2XO8KGcSWZ0+8jQqB3eT7x4cTpjlhlN6u8239v97/sj0sZkjBk5D/9K
PYrP166OKT12Gd+vDHT/E34/IT8FfSPWmdEBeaUTRNz3c9tOmgdtMyOy76kL
C2sYtPWcQ777zChsR7OscAX3z6FrfJ7kLKh98WDEWXw92adu7zyiYkEpW6m+
T/H1lsMce+0PsaC5F/1v/fD98NgNjzZjYUF5ppQ23eMYJFKkOF8/zIJCPa+d
Ecb3t/pQvo4ONwsq1SOansD3n4KrjV5NmAXVFjjsBP3FQFRwZE5RjAX5LtlE
9LdgoC6+1CRzlAWNt3bVE39iECzL7C92mgVJpLXrGtVgkK0kZClwhgUd/yPc
nVOBQYvaKVVOBRZkaOVw5UcRBqy6Ovs0qixI8yrtXZUPuF/fMB8gv8iCdujr
UUoKBka3nSp2LrGgQl1Nu7q3GMQ/iHAl6rCgzHUGSe1XGFS6pOhPGrCgG81X
N8te/Pf9Rf7poRssiF3KInjCEwOR4Das1Ryv13vkHXAfg8+ZzDZFTiyorqNG
YVkDA9+/VefIXfH1Utvm+wD480B2n/vaExYUMyZ1h0MGA5pbDb/nnrMgg5iw
dmF+DKwYPGREXrMgmy8X95YxIigpHmFwimVBe+uhge6jRGC92zlVlcCC3jlU
C33pJMK3Wqn4m+ks6A7DMQvHL0QQcBkniyxhQT+C+uazfImwnhLRP1TBgoot
1SMZXYjw+w8UH69mQSzbhnDamgieR+LuNjWyoMaCpapcdSL09mu1kPayoOpH
trJR1ESIUi1NcNhhQeqpb1zAYx7uOVi6VpKwIm/SLMuYu/OgksB8jfYAK7pQ
VyFbYDAPi2t2FJl0rIhW+8C/E1LzoJUleG+QjxWpZT/jvDo0B9RMQXJa51hR
y5HmOFeZOfD4Z9x+1I8VhWGnveWLZ2DlolKCZSArmnB1pqdMmAG7PB7rpBBW
tFRsrZDyfAZu+vZtMb9hRacTYs9oac+AvMR1oa0MVuR1eOOaz+Q0bD7Sc2z8
wYqurpTZVNBNgwvdZQZLOjaUucD4dEhxEhwV5S4nRrGh0Lsy7VSqo7CVpGY+
G8aOtH0eftOf7wTldaWIk6/ZEX2+Omfnx07w0TpT6xrLjnzP89D42HYC9e4R
IYoUdmTC+MTy5tRfYLvBMMJTwI5EZm48VJnoACnW3ttaf9lRjBXb697ZNrAM
eHA7j/Mwqnt+VYZa8zdkDtqEr/MeRna+a30M3b9gTta8RknoMNr6xOFTYPEL
nMb1BJskDqNn9E77nU+bwVtFfnhE4TAyoCEta/jaBHE7FLdZTQ4j2671b3Q3
GqDFIc7MNQWv12CjdhKsAYkwxm3n9MOoaWU0sLepGp7n+L12yjqMRH0pSfad
q0GW6NR0P/8w0vuNjpK9qYKEe5elLWoPI9ZGqWO85F/B1mqH6trIYUTibObX
QSiFuhdOKVoTh5FAeJGgYXgJ8L6fUtScOYwCysSeP94rhpbRDseLS/h4zF8L
0weK4Mztz31KZByIooXt6HBOAVDcMsmREOJAG2QnCqwu54DJkw4NcVEO5KDr
O3PPKBtK4i6NESTwXC/Nb9nmM9j2yHIKnuJANvwddTFRH6HVgOH5YRUOpC5D
eySZPRMkXF7wsl3gQBzCUMqLMsD39XYJ8yUOlKvtPHv2fjrIdUzO0elwoLDZ
oSs329Ig8Vq1AYU5B4rh3jkf1/gONhxkF0mt8DyGOsGS4R3ohH0K2r/LgUg8
NJWmrifDgT8x1VuOHKh6ve6I0koC2Gk6Siz6cCBvrbe7Mn9i4Pu9yTriC7ye
obmpO+YN8AcZm8695EALlfUMrLbR0PZDI2oynAMNYealVsJRcPai0N7AO7xe
bPDb4mgoSKc2BTS8x8fTvNx2c/sVHN93Ysn7wIEEgrkc3gkGg1DJN3HfPLxe
q/hhX1wA8LDYFdwv4kBmHvOGA/N+wP6AVdmwjAOhJ0ca/159AYfE8PNzDT6e
kkVHLXoGlM/p/rHU4/WZDSLf/ngDyWCRzW4jnrfHtKf0ecFKNKVXSwt+f73D
z65nPwbiUjZ1eQfeL+S8K9V5V5jSMoxM7cb56dTSxqYzDFBmZroM4f0obxF+
VDpAt7n2abMxfLzVAU6HhPvQVrnxVWMKr59hKGfbugvNXO/UT8/huRnr4fBI
K/juotHOs4DnedOnsbt3oLpt0ZhyBc8vRUkoeppB+fG4KWwdz38PGVK+vQmF
gSoPe7ZxtqXfjy8ygJyJmd3afZxp/1BevaQDWSqRAZ/IORFJB1XujXxNSEtU
YImmwllaiDGk7jwkbo0mPD2Es1Go+ftogBiDYPG7DDhz7A94vZKBiHzpAh0W
nKXilhL6JCCYfkBJ8TDOZhJH2v/xgJ/ti0YCN85I6yO6QQU+34/pMvDj7G30
6QjLsLKHUOfAhhDOJGbThDs5yi5eXjYjov/VS2oePbih7NAruvxTAucwma/9
dixgK/vHs+g4zm70N0RABCwiXKmTTv03Pz+/0CsnwYTIHxkgi7Naay2LpTwY
XWrkdZLHmXXs0F6+CuimO2TeVMZ5Q0+GQVwDtMg4T59X+e/6Y3pt6tqgblLz
9fgFnF9ukre66oFK+V11jks4eyxnLAtcB0V25nZSLZzNU2zF1UxA1qncePba
f+tV3vp54TZI/Taf6tDnRN6bvrMKOxZA8CvYzTDGcwU3ZsqmeyAwcjMg/Dae
79Swiwc/AC5lCpYnljh3vFR9Ue8I9Gt64lr3ORE6U3PlLr8LUOvs5p9xxK+P
DXv887EbkGW/VxJ8hOfXCKF2S+6wbrmms+KBX78RFiPE7w1LNYkDA954zlSh
WBjgA3O8F20afPF8rJfpGulzGPr7xjMumBMlRxDCX/P7wY/zZzNRPCcS+CFB
SGR4BW4NXsefJv+33pUkFlyhIK5RV/g1jRO1NNQlaL8NAz/NqzXynzkRY+DN
ys+tEaCma9krXYlfX1UyYZT+BlY6sswe1uL9XhkXHVqMgVSDhYm875wo7PuZ
matqcUB248ny8T94fWOBtzNFAlSbhdMeGeJEUsQ308qP3oHDSGeE9RgnivGw
lvBTTAF+Cx7O9ClO1G18Q2yHKhW8rDMIwot4fUj/ouXHNFC0/6rMS8aFvHmY
1xuEM6HkybQDkwgXEm9Oea7SlQNWu8fXr4pzoSGFX6V/HuQC+1NnzxBJLlTn
FB2zspoLzs/2Xx6S4UItg6acHNT5cOolW+qBC1xoDPcaH9VCyI4+93fTmgsp
/n79KoW1DEw4/G/K2XEhkc4al4MlZUAX1zzs4sCFaH0VSZRuloNdgiFx2Q3v
P6ZgspdZARJp96mIL7nQzpNj999cr4T3ebFnRz5yob2cm8fOUtaC7fZNie4c
LuSwyfqm0qQWpM7zcf8u4EI0jSwrayW18KU7ZaesgguF6YbQPbH7Bu37H6vC
f+LXJ1D8+TBQB6RalefPzXIhr5Od9rcHG8B4ZuRasgQ3kpW7b1Wk/xvYhCVt
TT5wI5rykzla1zuhjZT6GecXHiTSSvMgI30UiJ9jTbSreZCm+Ot7Tg2jcPDG
UQX/Oh50jC02WXJqFFC+1spKMw+6mcH9wO7IGGSbv7ZqGeBBF6+3Nx/8OAZB
34Qu++/zoGSK5wLKWeOg9kKJdVWFFw0t1MwUR02C2ck/C0cv8iKxc4XxBvmT
8GTA7Jf5ZV70IemsUMefSciX8fVr0eVFQcKd8VY0UyAw0bTx0YIX5dA4ivR5
TsHOBaMBcz9edKtOUjbSeBqKqB+mt/zgRVwfchymd2ZgwsNnvvIXL6LhdujO
YZkFjsVQ6c+tvEivvMTlssQsePR8qn3Zw4sklU5vkRjOglrWxD+VaV6UG71S
ejN7Ftou3zhcRM2Hcri+S/jrzQFFtY1JKi0fys844vPYZg5kpV3fhzPyIRm6
4mkFD9yveaJO23PwIaea4uoTqXNwe/7XVTFxPlQirH/zJ3EOFkLOBcRe5EM7
t6ONI/HznRC59h//y3yo7OtCtsWredBzNWF3ucqH0s/vppMmzkOp6ZM0HUM+
JDB4MSihch6eShVVH7LmQ/Y+VDoGu/OQm/aNasuWDyUadJJ40RJhhKNNa8qe
DyUXWNx7wE2EC6RYf50LH/K+l/sqW44I9G3im55+fMjlY+vMGwcioAtnkF0g
H+LqKdSn8iKCU/l5/xshfEhCubFeGffxzhRztjPRfEg0VHiG4j0REh7Gn1x4
z4eYa36MTv3Fz7eTWW7/PvCho/rWzJHDRCC5VVbV/JkPkb3IrSefJ4KFWueV
D0V86JXFbRo5cgwk2Rhtzev5kJ1z7/1JSQxYcio+vf/Bh/q3Iu5EnsFgS90a
m/rFh2ae9chtncOg0aPS+UEnH2KJ1/i+ro9BDrttSX4vH5LNSBUOMcUgOpdt
a/UfH4pSI2b9s8HAYszuqcckH0LmOqGf3TG47MVRWzXLh1Kk/N4exX38FEcd
BfkCHxqMHzpxJwgDEk3uwJcbfKhFf+vWXhwGCQU/oqIP8iNXjQyyYdzHfa88
6uqh40eSM3I+Yl9xv5sU4OJl5kcPvrz0Fv2G+ye3W1IqFz+iZSt/feU3BoJF
wiMTfPyIsQVze9SO+/LVPyISwvyIgzbCVb8b9/dnolm5R/mRLPHXA6VhDL7y
tM0tn+BHTjeW0Hnc39KKPU+ckeZH1UGx/RS4fwdpH3Fyl+NHUpe/nPTAfc9p
pqPwqyI/QkVvpT7iPnjd13ud5Bw/uudT0/Tf79cRn6S82nl+1KVKsnwC92+x
0i4Pfw1+JP3hYcIL3L/pdZ5XNV3hR5WfvKsicP9enT1ORq/Djxzw043hNgb9
L3rVrhnwI33+exfacZ/9xu/nH3WDH5GlPIunxP03q+xkU5cJP5I/lqm5iHO4
7gAt9x1+VJSSpxOJ+7LbfMBVE2t+RLlT+XEOZ1N/6Yh39/hRtqG8wS7OFwSH
OsYe8CNtku5r9Tgfqwg6LO6Mr599dJIazqz6Z27cc+NHC+cqzz3Bx98mjsRn
e/CjTIURhbu4b48EhAwuevOjU0cGI+jx+f0QkheSecGPOlv6NO/hvp37ZdzC
7SU/OvpX3fEp7ttvDMIzKl7xI83IIerLuG97LSjO7IXzI5ntdN7fyxhYBk5J
qkTzI1Xz6XLqRQw0RaIevIjjR71Xlee35jE4XQn5jYn4/aq9qE2bwYDLaHbl
UCo/evh4QoNyEgPSpegzVzP4UVRiWyT/KAZTQSruER/50VIwWf4C7tvFVbH7
HIX8yITNrbQc9+2E6+dVbpXyoznV100FuG/7Li/4Jn3hR+npaRSWuG/riKnT
iNbz45//13QWqjA4W7OsefcHP3qltRXbVIaBwM2k0E+/+NGZ9ExH4wIMsJA1
1tOd/EgXCV78/B6DuQW+2mO9/Kj8atL1qUQMZnQuPhD/x4+oR5yix99gMMYe
84N3gh8piDHti77EoDfxrBf1Gj9q0VRpbcTfn24S86PkW/yI/cUfZw4zDP6a
B3bv7vKjeDcDhaOGGNhE3o/dJBNAnUfjquLUMDA3rFwm0ggg+ee2X9/zYHA7
QOfSHK0AirKJD2RmxsCsbCJ5ml4A+ZWn5KhSYWDMzaA1xiyA6L3kPy8vEMFo
0DSzh0sAaWXrmYTWEOGKNalxnYQA0vPhbR00JIJmzOuCGkkBJLpbIJapQYRL
P47QVB0XQEOcrtgZBSKoH9UpKTslgMj4SEqzeYmggqUw5cjj/Vl40/YH50HO
Ve177CUBRJLu8sDyxjycyezmeaMpgJwjX/nWqM+DbI/dwygtAaQoXUs+LTsP
pxVeC4TqCCA+1fGbb5nncV8Yd/e9IYC4qOtNXzfMgbC//4kHtgLIPduwQEB8
Dpw6pb3M7QSQwD2X4CqWOagmjDTr2wugqh0ZZ6n9WTCpU7RVdBJAXxe4Prz8
OwtxpEtpB90F0PGon2ZC3rPA7HGLK+2lAPJddluW/jUDZI4nD/RkCqAKucMk
oDEN16r/6TZnCaDFbYVP305MQzJDcErVJ3x+zbuWBPZpUM6egPRcAdTf+TnA
Z2QK3Gffuj8sFUAtBn66GY+nYMmScoGuUQC91fMcIkmZhJEbfb0qkwJoJJLm
Q+3AONAqGWaYTQug14ImPtKV4yDD3/7QaxZf/6fOycGJ4xAw2kRbjuH9c5/P
LJqMwwm7cuWTGwKIcvjp5eR/Y+DhGZvCf1AQjbzYcKfpHQW2ZEPbHQlBdGbl
KDdH/TCoj7dvFtkLItMx1spfnH3geTTkSY6DILqlb7do2dcL+Y7qu5lOgshD
zvYUc0IvcO99IYl3EUSZ0/wfsgR6gcieTvXMSxD9FhefXhXvgSh1NzatEEGE
6LscG5W7YOgjz8mJz4KIIzl7u/dFO7AtdeYP5giiODO/wG+X2+GSXLh0T54g
Oix2O2WAqR0K6g7INRcJop0g0+UPiW3gN0BUzv8qiB61esZVlLeCJEONptcv
QSTNHRFBvf0H3JwsbdjnBVFw5BtBWusfEHCZaC2PCSLWpxb/eLYa4Y2Iq7XJ
In7/rgfvDb1qhOLOAKv0VXw+ZG65/iUNsCz/yUJ2TxD5XWMzDmb5Dvbky2YG
DEKIUk0vj36hFjz7n5i5MwmhzNOvXx8LrYXgIgqzRBYhZKO6nsdzohY+WrOb
ThwWQv2lIg5OjjUw9fOssYuAEBJYP3r2KEk13Inyvh59UgjFnCRZ8AwpB6f7
B6+XnxZCUe0cIVpTZfDsQoTRPxkhJDKftr2kWgbJG6mGovJCSFNNnPQbSSn8
u9WgX6wihPTsXu3/CSuCeRlt/V41fD6kZxNCNwthh75Hb++CEGq0fZF21qIQ
uGtmdC9cFkIWb/RjDKEAjAj0Op26QoiR9HwlOV0e2OxFX9vSF0IB1MGhpi9y
wbWL/xqfEX4/+mxWzvs5EP3ypLbVLSG0MCa6NLPyGdrn9bTWLIRQS2Si/UvG
LNAqfnuJ3UUIqfNLLFynTwWbZfN9Njc8PzlH8lgrBZ5LSRSyuQshjnLVqisR
76A0q5SXzUsIyU0xrgoTkkEo6e8Ci58QCttQ+5CKxYFif/x7lgC83y5dRO/H
WDDktLjBEojPt/PRq8wHMRAcufSNOUQIOQRT3uSlj4Y1f4Y3TNH4+naX7s2l
hwNjfedlphghpB3SuWuaHAZHyRJJmOKEkLfxO0se1VAw85C0ZUwUQiRpyQxG
LkHgXrbMx5gshKqXkNeFjJfweq28nSFFCA3t+xf9mPSHJgcNJYZ0vL7q7Ims
N74w9plxiT4T5+iz2axUz2F/piudPgvnyL/2x/18QNrSipE+G+/X3bFFb+0J
WinH6uly/+uvR0j75g53B1ce0+Xj9Zm/sDpwg8Trz0dpi/F8KpSjNfohlEZf
iqEtxXNtcbY/jo7Q3s50hbYczzd4+7e77YHI2ENK+wVnMk27n3T3gForufhQ
JV5/RYic55k1CAVZ3ztUjefyJ35uy1iAUuNxgUO1eG7PsOh65DYYHVjroKnD
+arThbNlt8BJ5etLmu84H3sjPJNoCMFPfZVpGnHWrOtnp9CFjC+Xlw824Uyd
k5PaegVqN5kzDzbj7MSxZRB3Afple28d/I2z+8P7FuYI1h6+YzrY8l+9dd0P
XVlgyrP5Tt2Gc1hRS+G3oyBJPPGEuuM/FmB2+sILF46un6DuxHlId0RrgArM
bCrHqLpxJnl0wH9pSPnJ+xexVL3/8UK85Xi+cvSIphZV/3+8b7fcs6mcy89K
TvXvv+u/0BATWaHpVl8J5dB/OVHDyJwA47EpdpQjOMff3+s9ewpIuu4KUo79
V6+w+qFGAbhYT3YemMA5N9/9bJoqSF/bCDww9d/6526QW1+CqyFVcGAG54aC
0mDWa2D702+FYg5nxb9Oxx7pgy+11gcK4n/rZ/FZR/8GJJ5nM6FYwLkmeH6q
0BTKnvUzUyzh+1GWbjz/wxyIO7Ye5Gv/PT99b0qt78J1o8tHNtdxvvhsqY/s
PtQVHO0kbuLPo+dat/d9B4i1nTvRuyuEEG/2adp3zkDxvbn/zz6eb1wKdp5y
AXvBzy/rSYURyeqXNiWtx6DWfX8094AwQtmEoV/OXpBzWissnUoYDZ0vf1Ad
5w1coceV4g/iuXlToizNM1g4j0X70wkjb2JonTn7C3hb4HDJhA3PExRimEaD
gJLh2rruYWFkZpgV+aHiFTjYnkzT4MTzexntR1ND8fPh0q40L557lrbb/AmH
pZCHeYcIwihMim9yVDga91ddE1IxYSQwsWlod/kNNJ6XPrQujvdzNXql4R4D
CTsrFiOSeD3VqV1sPg7UbV04yqSFUUzWd9vT7MlQUG9Qny0rjJLzJWioG5KB
T/CMU5qcMFrIvGT08Mk7WO5a/xmqKIw4zobyk2Mp+Po/fmqlJoy0uStPlZKk
w4qAxwSLnjDKvKeR3/bzE5h63Io8aIBfr3uyOKfwMzR1KaJ9Q2EkRd5au5ic
DUkhu7EzN/H+zgdMfp7LhUs7Xldq7gijFp+oYS+5fHjX5VNo/1AYqR2gdHd0
LoaJeqnBkEfCqEOX01KLoQQkCwcP5rgKo+bYCrcDn0qgOEzJFHsijKRPbpCs
z5RCs8bmQQdfvJ5WkTPGqwI2KhxMHV8Lo1Mre2u8ntWglWxK41wijCYCJzlM
o79DVAi9TFSZMJKVzpR5tPcdejy+mhZW4OuRfCROzboBLK5zF61UCSO3N9Mt
VAqN8Ji5y/RRozDi8z5vOjvzA9J8tYpceoRRrUi9iJvtL9iyUTJ7vC2MzPec
Ga7cb4NLFRLo0a4wsg/pVBxPb4O3dBwCjvvC6MXmqeW8oTZQzF8atCEXQezB
fHbjeu3gtZ1hanRIBKm+G3jyFjqAPITZ9Ay3CFqeS2J6zNsJtAWTxqvyIui+
lPzW05Ue4N0Nv+noLoK+cR96JDU/BOojV8reeIigsp+ml18wDINzw8HDlV4i
iPH4N/m/J4ehKdynjea5CHrj/2jmjsswuIg6aqQFiSBenS2Fo/vD0HJV+0xX
vAiK3ZWM7qIfhWcp9CxKVSLIyntl+rbQOHz2b3K4UyOCUpyTeGZUxqHbzu/3
y28iyI99e/f6nXE4fmbvZWeDCAr0D3hETB2Hvp/zJA4tIuhUEi/WIzwB0qvN
xJRhEdTq1X1Hnm8SJi4GNVFTENBaMte1s5tTYH7ZTIBASUC1rTmzXGzTMKAl
43KOmoBkBMgYO6SmoUN/UNCdloA+3g+h/mk9DbV3Tj+eZcWvl3OxqGyfhoSn
fWK/CQSkTpUQpZM6AxzPcz1nxAjILfaSr/OXGYjye9FOKUFAWfP5SVZ/ZyDw
1YmncJyA7I3IE8soZ8Ht7fPOXFkC4tNV/U5vPQt6JUdfRF4koImzdXScfHPQ
Uk7Sl6NBQA6Ka76HpOfgcuVfqebLBNSW8z6xQWMOVOqf9lNoE9Czq4Jn3jrP
gVR7+2kXIwK68Kz63Xv8vEyLPRkxuktAv+hIK9fN5yFgSVvu0T0CSnP5wXX9
0TyQrxFCwu8TEIl31jMv/3nY2vlztsmRgGi9rE6yfpyHKRqRcAV3ArpzNfmR
OTYP30SbgS8Iv/+msIcadrgPhAxeYn9FQLe86ypbHhOhZXVJnz6UgFDW7Cy/
PxH+1XHa7UUQ0En9V3xs74iwYW4d8y8OX6/u6y76bUTwanJP7YwnoC0e11vs
/4hw4FRI9u9EAhK3bUlKmCYCM2lRXWUKASl76gbv7RNBMolsMTGLgNIPvNI+
IIFBPiX7TvQnArKStrBfOY37mv0RqtBsAlI7+yY+Uwn3XSVt3qf5BJQ/6hFl
qo3Br7Q74q6FBCRZm8Jmfh0DPVrX0w+KCaiRlJb9iDnuT30JGqblBKRY4kxH
8RD3SZU8PcMveL/PPN8OP8HAPqvO9GolAUWR33iEPcPA4/HsI6gloM7oYYOZ
cAyiD59N4W8iIINYvRWazxjwPNX8fLgZH3/U014B98XUCdNSht/480T29tAJ
3Cdzi/x+77cSUJ6grq5pHQZneON61tvx/bcMaXv7A4NK389j2F8Casne4337
G4Ofuh1bgz0ElOxBbB7uwn21YvJAdx++X+fcaI/04/4otM3YMkBA0ayaLaeG
cP8PpOdpHCQgolMt9T7uxxOLgmLVwwR0475Qxivcn+2uy5wqHSWg5tF3Cf9w
v16uVlfKHScgi3LLwUXcv93Fb6lnThLQ6UPPzBoWMCAJe6CbPE1AXnpbbKa4
v/utPzOJmSUgndSa1dJVDOhMo++GzRPQ0/LytY51DKK+f3AOwAhoRKaUsWAT
9/fjX596LxKQQJaHou42Bu9etwS6LRNQeXX5w6IdDMR3R187rBKQizZbXs8u
BtkW68k26wQk6sS/ULWHgUwzzSezTQL6F37rmM0+Bl9O85UYbROQjQeyasNZ
5e3JWu1dApK6eyJ2D+cfZOd/qe8TkCeJV/1/34do2xp1I1JRRGHiOBv/379H
aL03KkcuisYYgJYBZ+OzT4lSB0TREhOdhCrebyw5YlOcShRZ1C9ePIvPx5Y6
nULwoCjqH1u+u4jP/ydZwCvVQ6KIyVx+9OIWBpK7d9mt6ERRY/fMS/0NDELW
LycFMIii4fdjVlxrGGCLx8Q/Momi4Akd32h8/bTnGPJ+sYiiGY1P8z/w9c2f
WDy7wCaK2vvzcwrx9WcZbq9l5hBF+X8edhvg++PcV3RZhksUOctedM2dwODv
3zcdhjyiKKb2T3zNCAayLY+N3flEkaXr1o3Afxhs1Ck9qBISRTWMtzCVvxhc
r+LfGBYRRRtvBrBTLRiUl5H6UIiJIqvm1wO9TRh4ZtdHaBzF82rTUZ0qDP5l
ZnDbHRNFx1f3TwjjzytKfZkWckIUSf5ZavuYjwFZzJXi9tOi6PyHzYiJNAzu
RJyANRlR9HythRiTgEFdMFMjh5woarL05qOIxp8Xn789xoqi6GfiiO8BPwwm
n5SYeyuLIpnsJxTxnhiou8TOpiBR9J2vdHrWGYND94x3J9Xw++ep9i3F388w
vXEBpyuiyH0mJfmgAgaLWg0foq6Koto1rqkHUvj7oPHhVMk1URSvt7QSRsCA
Tfm+2o6+KDo4d0SUggGDOLFVaz8TUXRjTiOpEP95sy3YtZBpJoowzpSatVYi
3OIpe/zTXBStcS8YrtYRgZ/JM4jRWhRlXan4LZ5FhLQtipy4B6LoQSr9pweO
+M+r1YkzXx1FUd3NFMl4cyJYYY3Vgw9FkXxgPo+/LhGOjAW3ibiJoi3du6ax
0kTI/sW6lu2Nz89tVrFkeR5KkkWUvoWLon+ven25rOZBZF/tSU2kKKK6G7UX
rjcPYcaWZVWvRVFbUMrzDpV5sOFKl/kSK4oqtJyaKvjmgStK7HjRO1E0FGB9
mrtjDjz8Jfgz8kRR3MVNfVMZ/PPBXoo0qFUUmYyo3ZbumIHsZm142S6KfO9c
JnuPfz5xH3X09P+Lvw/NwjszaTOwMpm3+bxHFHXIbTzccJ6B97dPL3kM48/b
0K05YZYZoNaXHbVfFEVhroc7mNWn4beCYr0OkxiieCmnzfdmEgJLH21fYBFD
GzUvbQKfTMJFmZyTCmxiqCTVE+sxnYTq40KJwpxiyOXF6wUR8UkoEKR2XREQ
Q0m+H+66lExADFWHeLSUGBoxk2u3bB2HO+33gnuuiiFfRNz2XB2FDdu3umYh
Yuhk8tvPhYeHINQ9leppmBi6xLA4FzE7CKKBHysSIsRQ3V+X3i8Zg6D/oUK4
L1oMlYXpBLMLDEL+ZN+yfpIY4uEMTSZj+gd2FjxRl3PF0FJbbkfDSh8MGSd0
yLaJIYkrK5OXm7vA9f77AP0OMRSiaCDRHNgF9J6fFZ07xZCfyfUHThpdoBT/
NS2vVwxFGRu+kWnohLjeAWfJUTFU+EdAp7juL+gZ8rEJrYgh5+oHzxIb26FR
O0mfjl0cBdStN/mt/wHbuvFKKg5xtKcWev5o4B+gk5MUJ+MSRyrKSfVavH9A
h79sa41XHPlFEzw4z/+Gvvm2pCGCOHJjJQzMxjUDMZBypkBGHKnNkjwimv2A
sD1N3ewz4ojYmOt+YacRTjtFfsk8K45YZT4ePRPTCG7XBUITlMRRVJnex6nW
BiATl5f2P4/XL5GZFmt+B7b6+1439MVRm62a64Xb36BUrnBSz1AcWRFz7vZR
foMbn7a0r14XRySLoUYCn2shMdJfWM1YHPlWub+v2q4BcfN3jccsxVGtRGLJ
43fVoLjfwUz6SBzFs4X1kAh8gX9O3B7bLuIojJJb3/pZBfhM3B5fdRNHmX7X
aA0nyuH7L2LJjIc4anZ6mt+XXwZX46mNO3zFUWnSXYkKkxIwP6uYkRGF9+t5
3N1IXgB353+t9keLI4/h9yPRDvng8M5UjTlWHPGUkh59MpgHTw8+H/ZIEEd1
rhbu4d9yIb7nB7dOujgyWvwx/PTSZ0h9ddPWP1MctQRRCbJf+ARZ5+ZLv2SJ
o8YDj9vJLnyEsg+MBmI54mhD4vH+ks4H6HxsGLZTIo44Ogob8t69h4Fj0/9O
loujXNs2/6fVaTA27H7M+os4coAmm8bRVFjWSGxqrRZH2p3W6v1nUoCRa5wi
44c4kmp4/mZTMhEO/3bR7f8pjsxWeRbFC+KB7xl1CtNvcSRwZ307WOUtHJs5
Ch5teE4UomfwjIFL5U6Pr/Xh46/mJhfejoRr9hSNfgN4f39+ebVTEWAkFM3+
ZRBf32a/Lwq04WAdWFYgOiaOvDcabRdLX4G98mWyWxP4+NE/ssLfB4HLUr92
+BQ+vsQTc8n3L8H3Bglxew7f3/ueE64DLyCIPkLxJIZzaqSgArsvRNQKB1kt
4kwSnMdr/gzeSVwUb13Fxz+qfeOblRdk/ut2odwQR0j+ksJ7xyeQG2Fbr7CF
1zt3dpOnukHl1ivz9D2cRWO17j9+CPXZ/Hl9JEcQuiutG87nCM3mefuM5EcQ
ieXtnsaO+9DBrqp14cAR5N0vXzhSdhf6mjrin1DhuZe1gu+cJYx4Wc3mHsRz
7cubVXbmMHNq4+zEITx//G37yiMTWJx4GcBNj3NBx5fwT0awEcfdpc2Ic89Z
W+unurCv9Zngx4xzXMTzlr4rQEkOzhWsOFsFsuovnAe6kpbaBXacNSsuUz5W
BtZ75kyinDhnvmte8z4N3Pwrpje5ceaQvGa+SACh9hfZYbw4V7+deeLDAhL+
h3fr+XFGvkWDPsvKJxU+XN4WxPn//z/D/wCPm9OL
"]]},
Annotation[#, "Charting`Private`Tag$419575#1"]& ]}, {}},
AspectRatio->0.15915494309189535`,
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{True, True}, {True, True}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{{{1,
FormBox["1", TraditionalForm]}}, {{1,
FormBox["1", TraditionalForm]}}}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" ->
None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->
NCache[{{0, 4 Pi}, {0., 0.999999331655351}}, {{
0, 12.566370614359172`}, {0., 0.999999331655351}}],
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {967.5, -255.09296707455792},
ImageScaled[{0.5, 0.5}], {360., 158.19718888344676}]}, {InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], LineBox[CompressedData["
1:eJwsm3k8VP/3x2VfUsyIGctYWpSikizFnENSSioVyhJCkWwVJVqFJNlSlEj2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"]]},
Annotation[#, "Charting`Private`Tag$419623#1"]& ]}, {}},
AspectRatio->0.15915494309189535`,
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{True, True}, {True, True}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{{{1,
FormBox["1", TraditionalForm]}}, {{1,
FormBox["1", TraditionalForm]}}}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" ->
None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->
NCache[{{0, 4 Pi}, {0., 1.}}, {{0, 12.566370614359172`}, {0., 1.}}],
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {193.5, -425.15494512426324},
ImageScaled[{0.5, 0.5}], {360., 158.1971888834467}], InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], FaceForm[Opacity[0.3]], LineBox[CompressedData["
1:eJxc2Hc8le//OPBjr6OQUSkpIylSGZWc11VGgyKjISMKaahEiwZZhWRFqIyM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"]]},
Annotation[#, "Charting`Private`Tag$422482#1"]& ]}, {}},
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"ScalingFunctions" -> None},
PlotRange->{{-1.816186218308099,
1.8161860232013565`}, {-2.8903726899393063`*^-7, 3.6323723004889765`}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.05],
Scaled[0.05]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {580.5, -425.15494512426324},
ImageScaled[{0.5, 0.5}], {360., 158.1971888834467}], InsetBox[
GraphicsBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6],
Opacity[1.], LineBox[CompressedData["
1:eJwsm3k8VP/3x2VfUsyIGctYWpSikizFnENSSioVyhJCkWwVJVqFJNlSlEj2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"]]},
Annotation[#, "Charting`Private`Tag$422516#1"]& ]}, {}},
AspectRatio->0.15915494309189535`,
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{True, True}, {True, True}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{{{1,
FormBox["1", TraditionalForm]}}, {{1,
FormBox["1", TraditionalForm]}}}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->{{9., 9.999999999999943}, {17., 3.811842738591679}},
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}},
"DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" ->
None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->
NCache[{{0, 4 Pi}, {0., 1.}}, {{0, 12.566370614359172`}, {0., 1.}}],
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}], {967.5, -425.15494512426324},
ImageScaled[{0.5, 0.5}], {360., 158.1971888834467}]}}, {}},
ImageSize->Full,
PlotRangePadding->{6, 5}]], "Output",
TextAlignment->Center,
FontSize->9,
CellLabel->
"Out[707]=",ExpressionUUID->"d2fe9cf0-f282-413c-b497-118066268e37"]
}, Open ]]
},
WindowToolbars->"EditBar",
WindowSize->{1680, 984},
WindowMargins->{{-4, Automatic}, {Automatic, -4}},
FrontEndVersion->"12.2 for Microsoft Windows (64-bit) (December 12, 2020)",
StyleDefinitions->"Default.nb",
ExpressionUUID->"b65d3ac2-1d8d-4640-8a14-2632a7a97184"
]
(* End of Notebook Content *)
(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[558, 20, 6760, 177, 341, "Input",ExpressionUUID->"296ee68d-611b-4f39-8505-8dc995c0ca11"],
Cell[7321, 199, 6480, 187, 266, "Input",ExpressionUUID->"a1866c05-8c89-4940-9c99-4fff241dacfe"],
Cell[CellGroupData[{
Cell[13826, 390, 8201, 186, 206, "Input",ExpressionUUID->"1aae1426-b766-4f8b-92e1-3d50595c1240"],
Cell[22030, 578, 228937, 3883, 706, "Output",ExpressionUUID->"d2fe9cf0-f282-413c-b497-118066268e37"]
}, Open ]]
}
]
*)